diff --git a/data/input/af2_all_params.p b/data/input/af2_all_params.p
new file mode 100644
index 0000000..3d79d2a
Binary files /dev/null and b/data/input/af2_all_params.p differ
diff --git a/data/input/af_all_params_clean_model1.p b/data/input/af_all_params_clean_model1.p
new file mode 100644
index 0000000..a85610f
Binary files /dev/null and b/data/input/af_all_params_clean_model1.p differ
diff --git a/data/input/pdb_measure_all.p b/data/input/pdb_measure_all.p
new file mode 100644
index 0000000..55ff596
Binary files /dev/null and b/data/input/pdb_measure_all.p differ
diff --git a/data/output/weights/hamp_all_params_per_helix/3_4_7_3_1_3/base_convolutional.h5 b/data/output/weights/hamp_all_params_per_helix/3_4_7_3_1_3/base_convolutional.h5
new file mode 100644
index 0000000..e04186b
Binary files /dev/null and b/data/output/weights/hamp_all_params_per_helix/3_4_7_3_1_3/base_convolutional.h5 differ
diff --git a/data/output/weights/hamp_all_params_per_helix/3_4_7_3_1_3/config.p b/data/output/weights/hamp_all_params_per_helix/3_4_7_3_1_3/config.p
new file mode 100644
index 0000000..1a69f05
Binary files /dev/null and b/data/output/weights/hamp_all_params_per_helix/3_4_7_3_1_3/config.p differ
diff --git a/data/output/weights/hamp_all_params_per_helix/base_convolutional.h5 b/data/output/weights/hamp_all_params_per_helix/base_convolutional.h5
new file mode 100644
index 0000000..8467600
Binary files /dev/null and b/data/output/weights/hamp_all_params_per_helix/base_convolutional.h5 differ
diff --git a/data/output/weights/hamp_all_params_per_helix/config.p b/data/output/weights/hamp_all_params_per_helix/config.p
new file mode 100644
index 0000000..2c62e0c
Binary files /dev/null and b/data/output/weights/hamp_all_params_per_helix/config.p differ
diff --git a/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_3/base_convolutional.h5 b/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_3/base_convolutional.h5
new file mode 100644
index 0000000..d17f10a
Binary files /dev/null and b/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_3/base_convolutional.h5 differ
diff --git a/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_3/config.p b/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_3/config.p
new file mode 100644
index 0000000..89285d3
Binary files /dev/null and b/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_3/config.p differ
diff --git a/data/output/weights/hamp_full_params/base_convolutional.h5 b/data/output/weights/hamp_full_params/base_convolutional.h5
new file mode 100644
index 0000000..e7f3b84
Binary files /dev/null and b/data/output/weights/hamp_full_params/base_convolutional.h5 differ
diff --git a/data/output/weights/hamp_full_params/config.p b/data/output/weights/hamp_full_params/config.p
new file mode 100644
index 0000000..df8632b
Binary files /dev/null and b/data/output/weights/hamp_full_params/config.p differ
diff --git a/hamp_pred/src/input_prep/encode.py b/hamp_pred/src/input_prep/encode.py
index 6112b3b..9e57d05 100644
--- a/hamp_pred/src/input_prep/encode.py
+++ b/hamp_pred/src/input_prep/encode.py
@@ -162,24 +162,25 @@ class RadianEncoder(LabelEncoder):
     def __init__(self, scale=1, max_size=360, unknown=10000.0):
         self.scale = scale
         self.max_size = max_size
-        self.outlier = np.array([2, 2])
+        self.outlier = [2]
         self.unknown = unknown
 
     def encode(self, labels, *args, **kwargs):
         labels = self.as_numpy_array(labels)
         exceed = np.any(labels > self.max_size, axis=-1)
         result = np.concatenate([np.sin(np.deg2rad(labels)), np.cos(np.deg2rad(labels))], axis=-1)
-        result[exceed] = self.outlier
+        result[exceed] = np.array(self.outlier * result.shape[-1])
         return result
 
     def invert(self, enc):
         labels = self.as_numpy_array(enc)
         res = []
+        dim = labels.shape[-1]
         for row in labels:
             tot = np.any(row > 1, axis=-1)
             correct = row[~tot]
-            full = np.full((len(row), 1), self.unknown)
-            out = (np.arctan2(correct[:, 0], correct[:, 1]) * 180 / np.pi).reshape(len(correct), 1)
+            full = np.full((len(row), dim//2), self.unknown)
+            out = (np.arctan2(correct[:, 0:dim//2], correct[:, dim//2:]) * 180 / np.pi).reshape(len(correct), dim//2)
             full[~tot] = out
             res.append(full)
         ret = np.asarray(res)
diff --git a/hamp_pred/src/input_prep/pdb.py b/hamp_pred/src/input_prep/pdb.py
index d051795..28902c6 100644
--- a/hamp_pred/src/input_prep/pdb.py
+++ b/hamp_pred/src/input_prep/pdb.py
@@ -39,6 +39,9 @@ def measure_one_HAMP(path_hamp, a1_start=None, a1_stop=None, a2_start=None, a2_s
     bundle.calc_crick()
     bundle.calc_radius()
     bundle.calc_periodicity()
+    bundle.calc_axialshift()
+    bundle.calc_pitch_angle()
+    bundle.calc_radius()
     bundle.calc_crickdev(P=3.5, REP=7, optimal_ph1=19.5)
     bundle_df = bundle.gendf()
 
diff --git a/hamp_pred/src/input_prep/prepare_sequence.py b/hamp_pred/src/input_prep/prepare_sequence.py
index a8e1c41..fe14336 100644
--- a/hamp_pred/src/input_prep/prepare_sequence.py
+++ b/hamp_pred/src/input_prep/prepare_sequence.py
@@ -203,14 +203,17 @@ def get_for_prediction(self, data, ids=None):
         self._data = data
         return enc
 
-    def get_from_prediction(self, prediction, n_features=1, shrink_factor=1, result_col='prediction'):
+    def get_from_prediction(self, prediction, n_features=1, shrink_factor=1, result_col='prediction',
+                            selected_chain_for_results=None,
+                            feature_names=None):
         xp = self._data.copy()
         for helix_pos, prep in enumerate(self._prep_chains):
-            helix = prediction[:, :, helix_pos * n_features: (helix_pos + 1) * n_features]
-            preds, helix = self.preparator.invert(prep, helix)
-            if self.y_encoder:
-                helix = self.y_encoder.invert(helix)
-            xp[self.chain_names[helix_pos] + '_pred'] = list(helix)
+            if (selected_chain_for_results and selected_chain_for_results.strip("_pred") == self.chain_names[helix_pos]) or not selected_chain_for_results:
+                helix = prediction[:, :, helix_pos * n_features: (helix_pos + 1) * n_features]
+                preds, helix = self.preparator.invert(prep, helix)
+                if self.y_encoder:
+                    helix = self.y_encoder.invert(helix)
+                xp[self.chain_names[helix_pos] + '_pred'] = list(helix)
 
         def merge(x):
             res = []
@@ -221,9 +224,17 @@ def merge(x):
                     lk = x['linkers'][n] * [self.linker_mark * fc]
                     if lk:
                         res.append(lk)
-            return np.concatenate(res)
-
-        xp[result_col] = xp.apply(lambda x: merge(x), axis=1)
+            return np.concatenate(res, axis=-1)
+        def select(x, n):
+            return x[result_col][:,n]
+        if selected_chain_for_results:
+            xp[result_col] = xp[selected_chain_for_results]
+            xp.drop([selected_chain_for_results], axis='columns', inplace=True)
+        else:
+            xp[result_col] = xp.apply(lambda x: merge(x), axis=1)
+        if feature_names:
+            for n, feature in enumerate(feature_names):
+                xp[feature] = xp.apply(lambda x: select(x, n), axis=1)
         return xp
 
     def get_for_train(self, X, y=None, ids=None,
diff --git a/hamp_pred/src/models/common/models.py b/hamp_pred/src/models/common/models.py
index 08b77ab..8291abf 100644
--- a/hamp_pred/src/models/common/models.py
+++ b/hamp_pred/src/models/common/models.py
@@ -123,6 +123,10 @@ def __init__(self, name='base_convolutional', config=None):
 
     def _schema(self, inp, n_layers=3, filters=64, kernel_sizes=(7, 5, 3, 11, 14), norm=False, **kwargs):
         inp = layers.Masking(mask_value=0., input_shape=(inp.shape[1], inp.shape[2]))(inp)
+        if kwargs.get("attention"):
+            for i in range(kwargs.get('attention')):
+                inp = layers.Attention(dropout=0.2, use_scale=True)([inp, inp])
+            inp = layers.Concatenate()([inp, inp])
         for i in range(n_layers):
             res = []
             for kr in kernel_sizes:
@@ -131,6 +135,7 @@ def _schema(self, inp, n_layers=3, filters=64, kernel_sizes=(7, 5, 3, 11, 14), n
             inp = conc
             if norm:
                 inp = layers.BatchNormalization()(inp)
+
         if kwargs.get('lstm'):
             for i in range(kwargs.get('lstm')):
                 inp = layers.Bidirectional(layers.LSTM(128, return_sequences=True))(inp)
diff --git a/hamp_pred/src/models/hamp_all_params_per_helix/__init__.py b/hamp_pred/src/models/hamp_all_params_per_helix/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/hamp_pred/src/models/hamp_all_params_per_helix/config.py b/hamp_pred/src/models/hamp_all_params_per_helix/config.py
new file mode 100644
index 0000000..cd4d27f
--- /dev/null
+++ b/hamp_pred/src/models/hamp_all_params_per_helix/config.py
@@ -0,0 +1,31 @@
+import os
+
+from hamp_pred.src.input_prep.encode import MultiEncoder, OneHotEncoderSeq, RadianEncoder, RadiousPhobosEncoder
+from hamp_pred.src.input_prep.prepare_sequence import MultiChainOperator, SeqWindow
+from hamp_pred.src.models.common.models import BaseConvolutionalWrapper
+from hamp_pred.src.predictor_config import PredictionConfig
+
+
+def get_config(predictor):
+    operator = MultiChainOperator(MultiEncoder([RadiousPhobosEncoder(), OneHotEncoderSeq()]), SeqWindow(11, 11),
+                                  RadianEncoder(100), SeqWindow(11, 11, null_char=[[0]]),
+                                  parallel=True)
+    model_conf = predictor.config.model_config or {
+        'activation': 'tanh',
+        'norm': True,
+        'n_layers': 1,
+        'kernel_sizes': (3, 5, 7),
+        'lstm': 2,
+        'dense': 3,
+        'reshape_out': False,
+        'epochs': 100
+    }
+    conf_path = os.path.join(predictor.config.model_config['data_dir'], 'config.p')
+    if not model_conf.get('overwrite') and os.path.exists(conf_path):
+        saved_config = PredictionConfig.from_pickle(conf_path)
+        model_conf = saved_config.model_config
+    last_config = PredictionConfig(BaseConvolutionalWrapper, operator, model_conf)
+    prev_config = predictor.config
+    last_config = last_config.merge_with(prev_config, favour_other=False)
+    last_config.model_config['data_dir'] = prev_config.model_config['data_dir']
+    return last_config
diff --git a/hamp_pred/src/models/hamp_all_params_per_helix/predict.py b/hamp_pred/src/models/hamp_all_params_per_helix/predict.py
new file mode 100644
index 0000000..370b1af
--- /dev/null
+++ b/hamp_pred/src/models/hamp_all_params_per_helix/predict.py
@@ -0,0 +1,24 @@
+import numpy as np
+
+from hamp_pred.src.models.common.models import BaseLinearWrapper
+from .config import get_config
+
+
+def run(sequences, config=None):
+    main_config = get_config(config.get('predictor')).dump()
+    main_config['is_test'] = config.get('is_test')
+    config = main_config
+    model, operator = config.get('model')(config=config.get('model_config')), config.get('operator')
+    n_chains, features = config.get('n_chains', 2), 24
+    operator.n_chains = n_chains
+    to_pred = operator.get_for_prediction(sequences)
+    model = model or BaseLinearWrapper(config=config)
+    inp_shape = to_pred.shape[1], to_pred.shape[-1]
+    md = model.build(inp_shape, features).compile(optimizer="Adam", loss="mse", metrics=["mae"])
+    prediction = md.predict(to_pred)
+    features = ["n_crick_mut", "n_shift", "n_radius", "n_pitch", "n_P", "n_p",
+                "c_crick_mut", "c_shift", "c_radius", "c_pitch", "c_P", "c_p"]
+    result = operator.get_from_prediction(prediction, n_features=12, shrink_factor=1,
+                                          result_col='predicted_params',
+                                          feature_names=features), md, to_pred
+    return result
diff --git a/hamp_pred/src/models/hamp_all_params_per_helix/train.py b/hamp_pred/src/models/hamp_all_params_per_helix/train.py
new file mode 100644
index 0000000..a87c450
--- /dev/null
+++ b/hamp_pred/src/models/hamp_all_params_per_helix/train.py
@@ -0,0 +1,35 @@
+from hamp_pred.src.models.common.models import BaseLinearWrapper
+
+
+def get_seqs_vals(data, operator):
+    if 'train_seq' not in data.columns:
+        data['train_seq'] = data.apply(lambda x: x['n_seq'] + x['c_seq'], axis=1)
+    params = ["crick_mut", "shift", "radius", "pitch", "P", "p"]
+    seqs = list(data.train_seq.values)
+    results = []
+    for ind, row in data.iterrows():
+        res = []
+        for helix in ['n', 'c']:
+            r = {param: list((row[helix + "_" + param][0::2] + row[helix + "_" +param][1::2]) / 2) for param in params}
+            res.append(list(zip(*list(r.values()))))
+        results.append(res)
+    train, valid, test = operator.get_for_train(seqs, results, test_size=0, valid_size=0)
+    return train
+
+
+def run(data, config=None):
+    model, operator = config.get('model')(config=config.get('model_config')), config.get('operator')
+    n_chains, features = config.get('n_chains', 2), 12
+    operator.n_chains = n_chains
+    valid_d = data[data['class'] == 'val']
+    train_d = data[data['class'] != 'val']
+    train, valid = get_seqs_vals(train_d, operator), get_seqs_vals(valid_d, operator)
+    X, y = train
+    val_x, val_y = valid
+    y = y[:, :, 0:24]
+    val_y = val_y[:, :, 0:24]
+    model = model or BaseLinearWrapper(config=config)
+    inp_shape = X.shape[1], X.shape[-1]
+    model.build(inp_shape, 24).compile(optimizer="Adam", loss="mse", metrics=["mae"]). \
+        train(X, y, val_x, val_y)
+    return model
diff --git a/hamp_pred/src/models/hamp_full_params/__init__.py b/hamp_pred/src/models/hamp_full_params/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/hamp_pred/src/models/hamp_full_params/config.py b/hamp_pred/src/models/hamp_full_params/config.py
new file mode 100644
index 0000000..cd4d27f
--- /dev/null
+++ b/hamp_pred/src/models/hamp_full_params/config.py
@@ -0,0 +1,31 @@
+import os
+
+from hamp_pred.src.input_prep.encode import MultiEncoder, OneHotEncoderSeq, RadianEncoder, RadiousPhobosEncoder
+from hamp_pred.src.input_prep.prepare_sequence import MultiChainOperator, SeqWindow
+from hamp_pred.src.models.common.models import BaseConvolutionalWrapper
+from hamp_pred.src.predictor_config import PredictionConfig
+
+
+def get_config(predictor):
+    operator = MultiChainOperator(MultiEncoder([RadiousPhobosEncoder(), OneHotEncoderSeq()]), SeqWindow(11, 11),
+                                  RadianEncoder(100), SeqWindow(11, 11, null_char=[[0]]),
+                                  parallel=True)
+    model_conf = predictor.config.model_config or {
+        'activation': 'tanh',
+        'norm': True,
+        'n_layers': 1,
+        'kernel_sizes': (3, 5, 7),
+        'lstm': 2,
+        'dense': 3,
+        'reshape_out': False,
+        'epochs': 100
+    }
+    conf_path = os.path.join(predictor.config.model_config['data_dir'], 'config.p')
+    if not model_conf.get('overwrite') and os.path.exists(conf_path):
+        saved_config = PredictionConfig.from_pickle(conf_path)
+        model_conf = saved_config.model_config
+    last_config = PredictionConfig(BaseConvolutionalWrapper, operator, model_conf)
+    prev_config = predictor.config
+    last_config = last_config.merge_with(prev_config, favour_other=False)
+    last_config.model_config['data_dir'] = prev_config.model_config['data_dir']
+    return last_config
diff --git a/hamp_pred/src/models/hamp_full_params/predict.py b/hamp_pred/src/models/hamp_full_params/predict.py
new file mode 100644
index 0000000..7fe6ef2
--- /dev/null
+++ b/hamp_pred/src/models/hamp_full_params/predict.py
@@ -0,0 +1,24 @@
+import numpy as np
+
+from hamp_pred.src.models.common.models import BaseLinearWrapper
+from .config import get_config
+
+
+def run(sequences, config=None):
+    main_config = get_config(config.get('predictor')).dump()
+    main_config['is_test'] = config.get('is_test')
+    config = main_config
+    model, operator = config.get('model')(config=config.get('model_config')), config.get('operator')
+    n_chains, features = config.get('n_chains', 2), 8
+    operator.n_chains = n_chains
+    to_pred = operator.get_for_prediction(sequences)
+    model = model or BaseLinearWrapper(config=config)
+    inp_shape = to_pred.shape[1], to_pred.shape[-1]
+    md = model.build(inp_shape, features).compile(optimizer="Adam", loss="mse", metrics=["mae"])
+    prediction = md.predict(to_pred)
+    prediction = np.concatenate([prediction, prediction], axis=-1)
+    result = operator.get_from_prediction(prediction, n_features=8, shrink_factor=2,
+                                          result_col='predicted_params',
+                                          selected_chain_for_results="N_pred",
+                                          feature_names=["crick_mut", "shift", "radius", "pitch"]), md, to_pred
+    return result
diff --git a/hamp_pred/src/models/hamp_full_params/train.py b/hamp_pred/src/models/hamp_full_params/train.py
new file mode 100644
index 0000000..b6ac224
--- /dev/null
+++ b/hamp_pred/src/models/hamp_full_params/train.py
@@ -0,0 +1,33 @@
+from hamp_pred.src.models.common.models import BaseLinearWrapper
+
+
+def get_seqs_vals(data, operator):
+    if 'train_seq' not in data.columns:
+        data['train_seq'] = data.apply(lambda x: x['n_seq'] + x['c_seq'], axis=1)
+    params = ["crick_mut", "shift", "radius", "pitch"]
+    seqs = list(data.train_seq.values)
+    results = []
+    for ind, row in data.iterrows():
+        r = {param: list(((row["n_" + param] - row["c_" + param])[0::2] + (row["n_" + param] - row["c_" + param])[1::2]) / 2) for param in params}
+        res = [list(zip(*list(r.values()))), list(zip(*list(r.values())))]
+        results.append(res)
+    train, valid, test = operator.get_for_train(seqs, results, test_size=0, valid_size=0)
+    return train
+
+
+def run(data, config=None):
+    model, operator = config.get('model')(config=config.get('model_config')), config.get('operator')
+    n_chains, features = config.get('n_chains', 2), 4
+    operator.n_chains = n_chains
+    valid_d = data[data['class'] == 'val']
+    train_d = data[data['class'] != 'val']
+    train, valid = get_seqs_vals(train_d, operator), get_seqs_vals(valid_d, operator)
+    X, y = train
+    val_x, val_y = valid
+    y = y[:, :, 0:8]
+    val_y = val_y[:, :, 0:8]
+    model = model or BaseLinearWrapper(config=config)
+    inp_shape = X.shape[1], X.shape[-1]
+    model.build(inp_shape, 8).compile(optimizer="Adam", loss="mse", metrics=["mae"]). \
+        train(X, y, val_x, val_y)
+    return model
diff --git a/hamp_pred/utils/measure.py b/hamp_pred/utils/measure.py
index a14457d..2c1ff33 100644
--- a/hamp_pred/utils/measure.py
+++ b/hamp_pred/utils/measure.py
@@ -96,8 +96,10 @@ def measure_one_HAMP(path_hamp, a1_start=None, a1_stop=None, a2_start=None, a2_s
     bundle.calc_radius()
     bundle.calc_periodicity()
     bundle.calc_crickdev(P=3.5, REP=7, optimal_ph1=19.5)
+    bundle.calc_axialshift()
+    bundle.calc_pitch_angle()
+    bundle.calc_radius()
     bundle_df = bundle.gendf()
-
     crick = bundle_df.crick.values
     n_crick = crick[0::2]
     c_crick = crick[1::2]
diff --git a/notebooks/steps/3c_train_model_all_params.ipynb b/notebooks/steps/3c_train_model_all_params.ipynb
new file mode 100644
index 0000000..65da773
--- /dev/null
+++ b/notebooks/steps/3c_train_model_all_params.ipynb
@@ -0,0 +1,923 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1f18e649",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "sys.path.append('../..')\n",
+    "from hamp_pred.src.input_prep.prepare_sequence import MultiChainOperator, SeqWindow\n",
+    "from hamp_pred.src.input_prep.encode import MultiEncoder, OneHotEncoderSeq, RadianEncoder \n",
+    "from hamp_pred.src.input_prep.encode import RadiousPhobosEncoder\n",
+    "from hamp_pred.src.predictor_config import PredictionConfig \n",
+    "from hamp_pred.src.models.common.models import BaseConvolutionalWrapper \n",
+    "from hamp_pred.src.predictor import Predictor\n",
+    "from collections import defaultdict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a23bdcc2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71cb681c",
+   "metadata": {},
+   "source": [
+    "## Prepare data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "65cb365b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DATA_DIR = '../../data/input'\n",
+    "\n",
+    "# data set contains train and validation sets\n",
+    "# the val set is used for eraly stopping \n",
+    "data = f'{DATA_DIR}/af_all_params_clean_model1.p'\n",
+    "data = pd.read_pickle(data)\n",
+    "\n",
+    "data['train_seq'] = data.apply(lambda x: x['n_seq'] + x['c_seq'], axis=1)\n",
+    "\n",
+    "\n",
+    "assert all(data['train_seq'].str.len() == 22)\n",
+    "\n",
+    "# separate test set used to pick the best model\n",
+    "#data_test = f'{DATA_DIR}/af_clean_model_test.p'\n",
+    "#data_test = pd.read_pickle(data_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "42095feb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def train(data, conf, version):\n",
+    "    operator = MultiChainOperator(MultiEncoder([RadiousPhobosEncoder(), OneHotEncoderSeq()]), SeqWindow(11, 11), RadianEncoder(100),  SeqWindow(11, 11, null_char=[[0]]),\n",
+    "                                          parallel=True)\n",
+    "    conf = PredictionConfig(BaseConvolutionalWrapper, operator, conf)\n",
+    "    mod = Predictor('hamp_full_params', config=conf, version=version)\n",
+    "    trained = mod.train(data)\n",
+    "    return mod, trained\n",
+    "\n",
+    "def get_mod(conf=None, version=None):\n",
+    "    operator = MultiChainOperator(MultiEncoder([RadiousPhobosEncoder(), OneHotEncoderSeq()]), SeqWindow(11, 11), RadianEncoder(100),  SeqWindow(11, 11, null_char=[[0]]),\n",
+    "                                          parallel=True)\n",
+    "    conf = PredictionConfig(BaseConvolutionalWrapper, operator, conf)\n",
+    "    mod = Predictor('hamp_full_params', config=conf, version=version)\n",
+    "    return mod\n",
+    "\n",
+    "def get_pdb_results(test_data, mod, predictions=None, use_diffs=False):\n",
+    "    predictions = predictions or [\"crick_mut\", \"shift\", \"radius\", \"pitch\"]\n",
+    "    if use_diffs:\n",
+    "        predictions = list({pred[2:] for pred in  predictions})\n",
+    "    true_results = defaultdict(list)\n",
+    "    predictions_results = defaultdict(list)\n",
+    "    \n",
+    "    seq = []\n",
+    "    tr = []\n",
+    "    for n,r in test_data.iterrows():\n",
+    "        seq.append(r['n_seq'] + r['c_seq'])\n",
+    "        for prediction in predictions:\n",
+    "            result = r[\"n_\" + prediction] - r[\"c_\" + prediction]\n",
+    "            res = np.mean((result[0::2] + result[1::2]) / 2)/2\n",
+    "            predictions_results[prediction].append(res)\n",
+    "            \n",
+    "    res = mod.predict(seq)\n",
+    "    pr = []\n",
+    "    for n,r in res.iterrows():\n",
+    "        for nc, prediction in enumerate(predictions):\n",
+    "            result = r[prediction]\n",
+    "            res = np.mean(result)/2\n",
+    "            true_results[prediction].append(res)\n",
+    "    return predictions_results, true_results\n",
+    "\n",
+    "def get_rmse(val, mod):\n",
+    "    params = [\"crick_mut\", \"shift\", \"radius\", \"pitch\"]\n",
+    "    params_rmse = {param: 0 for param in params}\n",
+    "    tr_d = {param: 0 for param in params}\n",
+    "    pr_d = {param: 0 for param in params}\n",
+    "    seqs = list(val.train_seq)\n",
+    "    for key in params_rmse:\n",
+    "        tr=[]\n",
+    "        for n,r in val.iterrows():\n",
+    "            result = r[\"n_\" + key] - r[\"c_\" + key]\n",
+    "            tr.append(np.mean((result[0::2] + result[1::2]) / 2)/2)\n",
+    "            tr_d[key] = tr\n",
+    "    res = mod.predict(seqs)\n",
+    "    size=1\n",
+    "    cnt=0\n",
+    "    step = len(params_rmse) + 1\n",
+    "    for key in params_rmse:\n",
+    "        pr = []\n",
+    "        for n,r in res.iterrows():\n",
+    "            pr.append(np.mean(r[key])/2)\n",
+    "            pr_d[key] = pr\n",
+    "        cnt+=1\n",
+    "    for key in params_rmse:\n",
+    "        params_rmse[key] = np.mean((np.array(tr_d[key])-np.array(pr_d[key])) **2 ) ** 0.5\n",
+    "    return params_rmse\n",
+    "\n",
+    "def opt_conf(data, tune=False):\n",
+    "    \n",
+    "    # data: train and val (val for the eraly stopping)\n",
+    "    \n",
+    "    data_val = data[data['class'] == 'val']\n",
+    "    \n",
+    "    results = {}\n",
+    "\n",
+    "    # parameters grid\n",
+    "    kernels = [(3, 4, 7, 11)]\n",
+    "    layers = [7]\n",
+    "    lstm = [1, 3]\n",
+    "    dense = [3]\n",
+    "    attention = [1, 3]\n",
+    "    \n",
+    "    for kern in kernels:\n",
+    "        for l in layers:\n",
+    "            for ls in lstm:\n",
+    "                for d in dense:\n",
+    "                    for att in attention:\n",
+    "                        model_config = {\n",
+    "                            'activation': 'tanh',\n",
+    "                            'norm': True,\n",
+    "                            'n_layers': l,\n",
+    "                            'kernel_sizes': kern,\n",
+    "                            'lstm': ls,\n",
+    "                            'dense': d,\n",
+    "                            'reshape_out': False,\n",
+    "                            'epochs': 100,\n",
+    "                            \"attention\": att\n",
+    "                        }\n",
+    "                        version = '_'.join([str(x) for x in [\"_\".join([str(i) for i in kern]), l, ls, d, att]])\n",
+    "                        if tune:\n",
+    "                            mod, trained = train(data, model_config, version)\n",
+    "                        else:\n",
+    "                            mod = get_mod(model_config, version)\n",
+    "\n",
+    "                        results[version] = (get_rmse(data_val, mod), model_config)\n",
+    "                        print(results[version][0])\n",
+    "    return results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eebc0ecb",
+   "metadata": {},
+   "source": [
+    "## Train Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a89aa3c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-10-14 20:52:49.808809: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
+      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING:tensorflow:`epsilon` argument is deprecated and will be removed, use `min_delta` instead.\n",
+      "Epoch 1/100\n",
+      "63/63 [==============================] - 18s 284ms/sample - loss: 0.0254 - mae: 0.0707 - val_loss: 0.0101 - val_mae: 0.0479 - lr: 0.0010\n",
+      "Epoch 2/100\n",
+      "63/63 [==============================] - 12s 187ms/sample - loss: 0.0079 - mae: 0.0420 - val_loss: 0.0083 - val_mae: 0.0467 - lr: 0.0010\n",
+      "Epoch 3/100\n",
+      "63/63 [==============================] - 10s 162ms/sample - loss: 0.0069 - mae: 0.0387 - val_loss: 0.0059 - val_mae: 0.0375 - lr: 0.0010\n",
+      "Epoch 4/100\n",
+      "63/63 [==============================] - 12s 188ms/sample - loss: 0.0064 - mae: 0.0375 - val_loss: 0.0057 - val_mae: 0.0380 - lr: 0.0010\n",
+      "Epoch 5/100\n",
+      "63/63 [==============================] - 11s 178ms/sample - loss: 0.0058 - mae: 0.0353 - val_loss: 0.0055 - val_mae: 0.0355 - lr: 0.0010\n",
+      "Epoch 6/100\n",
+      "63/63 [==============================] - 10s 165ms/sample - loss: 0.0056 - mae: 0.0354 - val_loss: 0.0060 - val_mae: 0.0366 - lr: 0.0010\n",
+      "Epoch 7/100\n",
+      "63/63 [==============================] - 10s 160ms/sample - loss: 0.0053 - mae: 0.0335 - val_loss: 0.0059 - val_mae: 0.0367 - lr: 0.0010\n",
+      "Epoch 8/100\n",
+      "63/63 [==============================] - 10s 165ms/sample - loss: 0.0054 - mae: 0.0343 - val_loss: 0.0055 - val_mae: 0.0378 - lr: 0.0010\n",
+      "Epoch 9/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0051 - mae: 0.0339 - val_loss: 0.0061 - val_mae: 0.0361 - lr: 0.0010\n",
+      "Epoch 10/100\n",
+      "63/63 [==============================] - 10s 160ms/sample - loss: 0.0048 - mae: 0.0328 - val_loss: 0.0051 - val_mae: 0.0356 - lr: 0.0010\n",
+      "Epoch 11/100\n",
+      "63/63 [==============================] - 10s 164ms/sample - loss: 0.0048 - mae: 0.0327 - val_loss: 0.0047 - val_mae: 0.0311 - lr: 0.0010\n",
+      "Epoch 12/100\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0045 - mae: 0.0311 - val_loss: 0.0056 - val_mae: 0.0348 - lr: 0.0010\n",
+      "Epoch 13/100\n",
+      "63/63 [==============================] - 11s 167ms/sample - loss: 0.0049 - mae: 0.0331 - val_loss: 0.0054 - val_mae: 0.0344 - lr: 0.0010\n",
+      "Epoch 14/100\n",
+      "63/63 [==============================] - 11s 175ms/sample - loss: 0.0048 - mae: 0.0333 - val_loss: 0.0053 - val_mae: 0.0358 - lr: 0.0010\n",
+      "Epoch 15/100\n",
+      "63/63 [==============================] - 11s 173ms/sample - loss: 0.0043 - mae: 0.0310 - val_loss: 0.0048 - val_mae: 0.0339 - lr: 0.0010\n",
+      "Epoch 16/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0041 - mae: 0.0306 - val_loss: 0.0050 - val_mae: 0.0333 - lr: 0.0010\n",
+      "Epoch 17/100\n",
+      "63/63 [==============================] - 10s 165ms/sample - loss: 0.0045 - mae: 0.0326 - val_loss: 0.0052 - val_mae: 0.0342 - lr: 0.0010\n",
+      "Epoch 18/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0041 - mae: 0.0307\n",
+      "Epoch 18: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n",
+      "63/63 [==============================] - 11s 173ms/sample - loss: 0.0041 - mae: 0.0307 - val_loss: 0.0047 - val_mae: 0.0324 - lr: 0.0010\n",
+      "Epoch 19/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0033 - mae: 0.0270 - val_loss: 0.0046 - val_mae: 0.0309 - lr: 1.0000e-04\n",
+      "Epoch 20/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0031 - mae: 0.0256 - val_loss: 0.0044 - val_mae: 0.0302 - lr: 1.0000e-04\n",
+      "Epoch 21/100\n",
+      "63/63 [==============================] - 10s 154ms/sample - loss: 0.0030 - mae: 0.0251 - val_loss: 0.0045 - val_mae: 0.0305 - lr: 1.0000e-04\n",
+      "Epoch 22/100\n",
+      "63/63 [==============================] - 10s 153ms/sample - loss: 0.0029 - mae: 0.0248 - val_loss: 0.0045 - val_mae: 0.0304 - lr: 1.0000e-04\n",
+      "Epoch 23/100\n",
+      "63/63 [==============================] - 10s 156ms/sample - loss: 0.0028 - mae: 0.0246 - val_loss: 0.0046 - val_mae: 0.0310 - lr: 1.0000e-04\n",
+      "Epoch 24/100\n",
+      "63/63 [==============================] - 11s 179ms/sample - loss: 0.0027 - mae: 0.0242 - val_loss: 0.0045 - val_mae: 0.0306 - lr: 1.0000e-04\n",
+      "Epoch 25/100\n",
+      "63/63 [==============================] - 11s 171ms/sample - loss: 0.0026 - mae: 0.0239 - val_loss: 0.0045 - val_mae: 0.0305 - lr: 1.0000e-04\n",
+      "Epoch 26/100\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0026 - mae: 0.0235 - val_loss: 0.0045 - val_mae: 0.0302 - lr: 1.0000e-04\n",
+      "Epoch 27/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0025 - mae: 0.0235\n",
+      "Epoch 27: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n",
+      "63/63 [==============================] - 10s 156ms/sample - loss: 0.0025 - mae: 0.0235 - val_loss: 0.0045 - val_mae: 0.0304 - lr: 1.0000e-04\n",
+      "Epoch 28/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0024 - mae: 0.0233 - val_loss: 0.0044 - val_mae: 0.0301 - lr: 1.0000e-05\n",
+      "Epoch 29/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0024 - mae: 0.0231 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-05\n",
+      "Epoch 30/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0023 - mae: 0.0227 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-05\n",
+      "Epoch 31/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0023 - mae: 0.0228 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-05\n",
+      "Epoch 32/100\n",
+      "63/63 [==============================] - 11s 171ms/sample - loss: 0.0023 - mae: 0.0228 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-05\n",
+      "Epoch 33/100\n",
+      "63/63 [==============================] - 10s 162ms/sample - loss: 0.0023 - mae: 0.0224 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-05\n",
+      "Epoch 34/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0023 - mae: 0.0225\n",
+      "Epoch 34: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-05\n",
+      "Epoch 35/100\n",
+      "63/63 [==============================] - 10s 156ms/sample - loss: 0.0023 - mae: 0.0227 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-06\n",
+      "Epoch 36/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-06\n",
+      "Epoch 37/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-06\n",
+      "Epoch 38/100\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0023 - mae: 0.0226 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-06\n",
+      "Epoch 39/100\n",
+      "63/63 [==============================] - 10s 155ms/sample - loss: 0.0022 - mae: 0.0224 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-06\n",
+      "Epoch 40/100\n",
+      "63/63 [==============================] - 10s 156ms/sample - loss: 0.0022 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-06\n",
+      "Epoch 41/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0023 - mae: 0.0225\n",
+      "Epoch 41: ReduceLROnPlateau reducing learning rate to 1.0000001111620805e-07.\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-06\n",
+      "Epoch 42/100\n",
+      "63/63 [==============================] - 10s 156ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0299 - lr: 1.0000e-07\n",
+      "Epoch 43/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0299 - lr: 1.0000e-07\n",
+      "Epoch 44/100\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0023 - mae: 0.0227 - val_loss: 0.0044 - val_mae: 0.0299 - lr: 1.0000e-07\n",
+      "Epoch 45/100\n",
+      "63/63 [==============================] - 10s 156ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-07\n",
+      "Epoch 46/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-07\n",
+      "Epoch 47/100\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0023 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0300 - lr: 1.0000e-07\n",
+      "1/1 [==============================] - 1s 1s/step\n",
+      "{'crick_mut': 6.15276407836929, 'shift': 0.5514810930637769, 'radius': 0.44430623251903495, 'pitch': 1.7805409266136933}\n",
+      "WARNING:tensorflow:`epsilon` argument is deprecated and will be removed, use `min_delta` instead.\n",
+      "Epoch 1/100\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "63/63 [==============================] - 16s 246ms/sample - loss: 0.0253 - mae: 0.0689 - val_loss: 0.0093 - val_mae: 0.0439 - lr: 0.0010\n",
+      "Epoch 2/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0092 - mae: 0.0449 - val_loss: 0.0089 - val_mae: 0.0461 - lr: 0.0010\n",
+      "Epoch 3/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0088 - mae: 0.0430 - val_loss: 0.0092 - val_mae: 0.0424 - lr: 0.0010\n",
+      "Epoch 4/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0092 - mae: 0.0455 - val_loss: 0.0098 - val_mae: 0.0534 - lr: 0.0010\n",
+      "Epoch 5/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0084 - mae: 0.0433 - val_loss: 0.0078 - val_mae: 0.0433 - lr: 0.0010\n",
+      "Epoch 6/100\n",
+      "63/63 [==============================] - 10s 162ms/sample - loss: 0.0078 - mae: 0.0405 - val_loss: 0.0082 - val_mae: 0.0439 - lr: 0.0010\n",
+      "Epoch 7/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0078 - mae: 0.0408 - val_loss: 0.0082 - val_mae: 0.0413 - lr: 0.0010\n",
+      "Epoch 8/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0081 - mae: 0.0426 - val_loss: 0.0100 - val_mae: 0.0491 - lr: 0.0010\n",
+      "Epoch 9/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0078 - mae: 0.0413 - val_loss: 0.0073 - val_mae: 0.0403 - lr: 0.0010\n",
+      "Epoch 10/100\n",
+      "63/63 [==============================] - 10s 165ms/sample - loss: 0.0071 - mae: 0.0385 - val_loss: 0.0071 - val_mae: 0.0387 - lr: 0.0010\n",
+      "Epoch 11/100\n",
+      "63/63 [==============================] - 10s 158ms/sample - loss: 0.0072 - mae: 0.0395 - val_loss: 0.0073 - val_mae: 0.0403 - lr: 0.0010\n",
+      "Epoch 12/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0071 - mae: 0.0390 - val_loss: 0.0076 - val_mae: 0.0415 - lr: 0.0010\n",
+      "Epoch 13/100\n",
+      "63/63 [==============================] - 10s 163ms/sample - loss: 0.0071 - mae: 0.0388 - val_loss: 0.0069 - val_mae: 0.0411 - lr: 0.0010\n",
+      "Epoch 14/100\n",
+      "63/63 [==============================] - 10s 162ms/sample - loss: 0.0069 - mae: 0.0378 - val_loss: 0.0073 - val_mae: 0.0407 - lr: 0.0010\n",
+      "Epoch 15/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0067 - mae: 0.0374 - val_loss: 0.0093 - val_mae: 0.0504 - lr: 0.0010\n",
+      "Epoch 16/100\n",
+      "63/63 [==============================] - 10s 160ms/sample - loss: 0.0070 - mae: 0.0389 - val_loss: 0.0071 - val_mae: 0.0384 - lr: 0.0010\n",
+      "Epoch 17/100\n",
+      "63/63 [==============================] - 10s 165ms/sample - loss: 0.0065 - mae: 0.0366 - val_loss: 0.0074 - val_mae: 0.0386 - lr: 0.0010\n",
+      "Epoch 18/100\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0064 - mae: 0.0366 - val_loss: 0.0073 - val_mae: 0.0407 - lr: 0.0010\n",
+      "Epoch 19/100\n",
+      "63/63 [==============================] - 10s 164ms/sample - loss: 0.0062 - mae: 0.0360 - val_loss: 0.0083 - val_mae: 0.0411 - lr: 0.0010\n",
+      "Epoch 20/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0063 - mae: 0.0367\n",
+      "Epoch 20: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n",
+      "63/63 [==============================] - 10s 160ms/sample - loss: 0.0063 - mae: 0.0367 - val_loss: 0.0079 - val_mae: 0.0387 - lr: 0.0010\n",
+      "Epoch 21/100\n",
+      "63/63 [==============================] - 10s 163ms/sample - loss: 0.0055 - mae: 0.0332 - val_loss: 0.0070 - val_mae: 0.0370 - lr: 1.0000e-04\n",
+      "Epoch 22/100\n",
+      "63/63 [==============================] - 10s 163ms/sample - loss: 0.0052 - mae: 0.0323 - val_loss: 0.0070 - val_mae: 0.0368 - lr: 1.0000e-04\n",
+      "Epoch 23/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0050 - mae: 0.0318 - val_loss: 0.0070 - val_mae: 0.0366 - lr: 1.0000e-04\n",
+      "Epoch 24/100\n",
+      "63/63 [==============================] - 11s 167ms/sample - loss: 0.0050 - mae: 0.0316 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-04\n",
+      "Epoch 25/100\n",
+      "63/63 [==============================] - 10s 162ms/sample - loss: 0.0048 - mae: 0.0313 - val_loss: 0.0070 - val_mae: 0.0365 - lr: 1.0000e-04\n",
+      "Epoch 26/100\n",
+      "63/63 [==============================] - 11s 167ms/sample - loss: 0.0047 - mae: 0.0309 - val_loss: 0.0069 - val_mae: 0.0367 - lr: 1.0000e-04\n",
+      "Epoch 27/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0046 - mae: 0.0307\n",
+      "Epoch 27: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n",
+      "63/63 [==============================] - 10s 157ms/sample - loss: 0.0046 - mae: 0.0306 - val_loss: 0.0069 - val_mae: 0.0364 - lr: 1.0000e-04\n",
+      "Epoch 28/100\n",
+      "63/63 [==============================] - 11s 169ms/sample - loss: 0.0046 - mae: 0.0303 - val_loss: 0.0068 - val_mae: 0.0364 - lr: 1.0000e-05\n",
+      "Epoch 29/100\n",
+      "63/63 [==============================] - 10s 159ms/sample - loss: 0.0045 - mae: 0.0300 - val_loss: 0.0068 - val_mae: 0.0364 - lr: 1.0000e-05\n",
+      "Epoch 30/100\n",
+      "63/63 [==============================] - 10s 164ms/sample - loss: 0.0045 - mae: 0.0300 - val_loss: 0.0069 - val_mae: 0.0364 - lr: 1.0000e-05\n",
+      "Epoch 31/100\n",
+      "63/63 [==============================] - 10s 164ms/sample - loss: 0.0045 - mae: 0.0300 - val_loss: 0.0069 - val_mae: 0.0365 - lr: 1.0000e-05\n",
+      "Epoch 32/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0045 - mae: 0.0300 - val_loss: 0.0069 - val_mae: 0.0365 - lr: 1.0000e-05\n",
+      "Epoch 33/100\n",
+      "63/63 [==============================] - 10s 163ms/sample - loss: 0.0044 - mae: 0.0299 - val_loss: 0.0069 - val_mae: 0.0365 - lr: 1.0000e-05\n",
+      "Epoch 34/100\n",
+      "63/63 [==============================] - 10s 161ms/sample - loss: 0.0045 - mae: 0.0301 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-05\n",
+      "Epoch 35/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0044 - mae: 0.0300\n",
+      "Epoch 35: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n",
+      "63/63 [==============================] - 10s 163ms/sample - loss: 0.0044 - mae: 0.0300 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-05\n",
+      "Epoch 36/100\n",
+      "63/63 [==============================] - 10s 166ms/sample - loss: 0.0045 - mae: 0.0301 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-06\n",
+      "Epoch 37/100\n",
+      "63/63 [==============================] - 13s 203ms/sample - loss: 0.0044 - mae: 0.0297 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-06\n",
+      "Epoch 38/100\n",
+      "63/63 [==============================] - 11s 178ms/sample - loss: 0.0044 - mae: 0.0299 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-06\n",
+      "Epoch 39/100\n",
+      "63/63 [==============================] - 10s 162ms/sample - loss: 0.0044 - mae: 0.0300 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-06\n",
+      "Epoch 40/100\n",
+      "63/63 [==============================] - 12s 187ms/sample - loss: 0.0044 - mae: 0.0298 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-06\n",
+      "Epoch 41/100\n",
+      "63/63 [==============================] - 10s 164ms/sample - loss: 0.0044 - mae: 0.0299 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-06\n",
+      "Epoch 42/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0044 - mae: 0.0297\n",
+      "Epoch 42: ReduceLROnPlateau reducing learning rate to 1.0000001111620805e-07.\n",
+      "63/63 [==============================] - 11s 172ms/sample - loss: 0.0044 - mae: 0.0297 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-06\n",
+      "Epoch 43/100\n",
+      "63/63 [==============================] - 11s 180ms/sample - loss: 0.0044 - mae: 0.0297 - val_loss: 0.0069 - val_mae: 0.0366 - lr: 1.0000e-07\n",
+      "1/1 [==============================] - 2s 2s/step\n",
+      "{'crick_mut': 6.20248293613129, 'shift': 0.6033072580978741, 'radius': 0.4663686143609071, 'pitch': 1.947769737231536}\n",
+      "WARNING:tensorflow:`epsilon` argument is deprecated and will be removed, use `min_delta` instead.\n",
+      "Epoch 1/100\n",
+      "63/63 [==============================] - 87s 1s/sample - loss: 0.0267 - mae: 0.0759 - val_loss: 0.0077 - val_mae: 0.0429 - lr: 0.0010\n",
+      "Epoch 2/100\n",
+      "63/63 [==============================] - 27s 436ms/sample - loss: 0.0077 - mae: 0.0410 - val_loss: 0.0072 - val_mae: 0.0387 - lr: 0.0010\n",
+      "Epoch 3/100\n",
+      "63/63 [==============================] - 272s 4s/sample - loss: 0.0069 - mae: 0.0392 - val_loss: 0.0058 - val_mae: 0.0366 - lr: 0.0010\n",
+      "Epoch 4/100\n",
+      "63/63 [==============================] - 16s 258ms/sample - loss: 0.0068 - mae: 0.0389 - val_loss: 0.0061 - val_mae: 0.0380 - lr: 0.0010\n",
+      "Epoch 5/100\n",
+      "63/63 [==============================] - 14s 226ms/sample - loss: 0.0065 - mae: 0.0386 - val_loss: 0.0057 - val_mae: 0.0388 - lr: 0.0010\n",
+      "Epoch 6/100\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "63/63 [==============================] - 13s 211ms/sample - loss: 0.0068 - mae: 0.0404 - val_loss: 0.0055 - val_mae: 0.0349 - lr: 0.0010\n",
+      "Epoch 7/100\n",
+      "63/63 [==============================] - 14s 230ms/sample - loss: 0.0060 - mae: 0.0364 - val_loss: 0.0059 - val_mae: 0.0379 - lr: 0.0010\n",
+      "Epoch 8/100\n",
+      "63/63 [==============================] - 14s 226ms/sample - loss: 0.0055 - mae: 0.0349 - val_loss: 0.0055 - val_mae: 0.0340 - lr: 0.0010\n",
+      "Epoch 9/100\n",
+      "63/63 [==============================] - 13s 211ms/sample - loss: 0.0055 - mae: 0.0353 - val_loss: 0.0052 - val_mae: 0.0362 - lr: 0.0010\n",
+      "Epoch 10/100\n",
+      "63/63 [==============================] - 13s 205ms/sample - loss: 0.0054 - mae: 0.0343 - val_loss: 0.0049 - val_mae: 0.0331 - lr: 0.0010\n",
+      "Epoch 11/100\n",
+      "63/63 [==============================] - 13s 206ms/sample - loss: 0.0052 - mae: 0.0339 - val_loss: 0.0064 - val_mae: 0.0414 - lr: 0.0010\n",
+      "Epoch 12/100\n",
+      "63/63 [==============================] - 13s 202ms/sample - loss: 0.0050 - mae: 0.0339 - val_loss: 0.0053 - val_mae: 0.0354 - lr: 0.0010\n",
+      "Epoch 13/100\n",
+      "63/63 [==============================] - 12s 198ms/sample - loss: 0.0050 - mae: 0.0333 - val_loss: 0.0055 - val_mae: 0.0341 - lr: 0.0010\n",
+      "Epoch 14/100\n",
+      "63/63 [==============================] - 13s 199ms/sample - loss: 0.0048 - mae: 0.0326 - val_loss: 0.0057 - val_mae: 0.0362 - lr: 0.0010\n",
+      "Epoch 15/100\n",
+      "63/63 [==============================] - 12s 198ms/sample - loss: 0.0047 - mae: 0.0326 - val_loss: 0.0065 - val_mae: 0.0366 - lr: 0.0010\n",
+      "Epoch 16/100\n",
+      "63/63 [==============================] - 13s 199ms/sample - loss: 0.0046 - mae: 0.0321 - val_loss: 0.0055 - val_mae: 0.0339 - lr: 0.0010\n",
+      "Epoch 17/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0045 - mae: 0.0319\n",
+      "Epoch 17: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n",
+      "63/63 [==============================] - 13s 199ms/sample - loss: 0.0045 - mae: 0.0319 - val_loss: 0.0064 - val_mae: 0.0367 - lr: 0.0010\n",
+      "Epoch 18/100\n",
+      "63/63 [==============================] - 13s 214ms/sample - loss: 0.0038 - mae: 0.0289 - val_loss: 0.0046 - val_mae: 0.0312 - lr: 1.0000e-04\n",
+      "Epoch 19/100\n",
+      "63/63 [==============================] - 14s 218ms/sample - loss: 0.0034 - mae: 0.0272 - val_loss: 0.0046 - val_mae: 0.0312 - lr: 1.0000e-04\n",
+      "Epoch 20/100\n",
+      "63/63 [==============================] - 13s 199ms/sample - loss: 0.0033 - mae: 0.0266 - val_loss: 0.0046 - val_mae: 0.0316 - lr: 1.0000e-04\n",
+      "Epoch 21/100\n",
+      "63/63 [==============================] - 12s 196ms/sample - loss: 0.0032 - mae: 0.0263 - val_loss: 0.0046 - val_mae: 0.0312 - lr: 1.0000e-04\n",
+      "Epoch 22/100\n",
+      "63/63 [==============================] - 13s 198ms/sample - loss: 0.0031 - mae: 0.0256 - val_loss: 0.0046 - val_mae: 0.0306 - lr: 1.0000e-04\n",
+      "Epoch 23/100\n",
+      "63/63 [==============================] - 13s 208ms/sample - loss: 0.0031 - mae: 0.0250 - val_loss: 0.0045 - val_mae: 0.0305 - lr: 1.0000e-04\n",
+      "Epoch 24/100\n",
+      "63/63 [==============================] - 13s 201ms/sample - loss: 0.0030 - mae: 0.0254 - val_loss: 0.0046 - val_mae: 0.0305 - lr: 1.0000e-04\n",
+      "Epoch 25/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0029 - mae: 0.0250\n",
+      "Epoch 25: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n",
+      "63/63 [==============================] - 13s 200ms/sample - loss: 0.0029 - mae: 0.0250 - val_loss: 0.0048 - val_mae: 0.0316 - lr: 1.0000e-04\n",
+      "Epoch 26/100\n",
+      "63/63 [==============================] - 12s 196ms/sample - loss: 0.0028 - mae: 0.0246 - val_loss: 0.0046 - val_mae: 0.0306 - lr: 1.0000e-05\n",
+      "Epoch 27/100\n",
+      "63/63 [==============================] - 12s 197ms/sample - loss: 0.0027 - mae: 0.0243 - val_loss: 0.0046 - val_mae: 0.0305 - lr: 1.0000e-05\n",
+      "Epoch 28/100\n",
+      "63/63 [==============================] - 13s 203ms/sample - loss: 0.0026 - mae: 0.0243 - val_loss: 0.0046 - val_mae: 0.0305 - lr: 1.0000e-05\n",
+      "Epoch 29/100\n",
+      "63/63 [==============================] - 13s 200ms/sample - loss: 0.0027 - mae: 0.0243 - val_loss: 0.0046 - val_mae: 0.0306 - lr: 1.0000e-05\n",
+      "Epoch 30/100\n",
+      "63/63 [==============================] - 13s 202ms/sample - loss: 0.0027 - mae: 0.0241 - val_loss: 0.0046 - val_mae: 0.0303 - lr: 1.0000e-05\n",
+      "Epoch 31/100\n",
+      "63/63 [==============================] - 12s 197ms/sample - loss: 0.0027 - mae: 0.0242 - val_loss: 0.0046 - val_mae: 0.0305 - lr: 1.0000e-05\n",
+      "Epoch 32/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0026 - mae: 0.0239\n",
+      "Epoch 32: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n",
+      "63/63 [==============================] - 13s 199ms/sample - loss: 0.0026 - mae: 0.0239 - val_loss: 0.0046 - val_mae: 0.0303 - lr: 1.0000e-05\n",
+      "Epoch 33/100\n",
+      "63/63 [==============================] - 13s 210ms/sample - loss: 0.0026 - mae: 0.0238 - val_loss: 0.0046 - val_mae: 0.0303 - lr: 1.0000e-06\n",
+      "Epoch 34/100\n",
+      "63/63 [==============================] - 14s 228ms/sample - loss: 0.0026 - mae: 0.0238 - val_loss: 0.0046 - val_mae: 0.0303 - lr: 1.0000e-06\n",
+      "Epoch 35/100\n",
+      "63/63 [==============================] - 14s 216ms/sample - loss: 0.0026 - mae: 0.0238 - val_loss: 0.0046 - val_mae: 0.0302 - lr: 1.0000e-06\n",
+      "Epoch 36/100\n",
+      "63/63 [==============================] - 13s 205ms/sample - loss: 0.0026 - mae: 0.0238 - val_loss: 0.0046 - val_mae: 0.0303 - lr: 1.0000e-06\n",
+      "Epoch 37/100\n",
+      "63/63 [==============================] - 14s 221ms/sample - loss: 0.0027 - mae: 0.0239 - val_loss: 0.0046 - val_mae: 0.0303 - lr: 1.0000e-06\n",
+      "Epoch 38/100\n",
+      "63/63 [==============================] - 13s 206ms/sample - loss: 0.0027 - mae: 0.0239 - val_loss: 0.0046 - val_mae: 0.0303 - lr: 1.0000e-06\n",
+      "1/1 [==============================] - 3s 3s/step\n",
+      "{'crick_mut': 6.319387349862344, 'shift': 0.5685698849950461, 'radius': 0.45411619076242293, 'pitch': 1.7936115947936344}\n",
+      "WARNING:tensorflow:`epsilon` argument is deprecated and will be removed, use `min_delta` instead.\n",
+      "Epoch 1/100\n",
+      "63/63 [==============================] - 24s 385ms/sample - loss: 0.0265 - mae: 0.0704 - val_loss: 0.0085 - val_mae: 0.0443 - lr: 0.0010\n",
+      "Epoch 2/100\n",
+      "63/63 [==============================] - 13s 206ms/sample - loss: 0.0090 - mae: 0.0440 - val_loss: 0.0093 - val_mae: 0.0454 - lr: 0.0010\n",
+      "Epoch 3/100\n",
+      "63/63 [==============================] - 14s 218ms/sample - loss: 0.0086 - mae: 0.0435 - val_loss: 0.0101 - val_mae: 0.0485 - lr: 0.0010\n",
+      "Epoch 4/100\n",
+      "63/63 [==============================] - 16s 248ms/sample - loss: 0.0083 - mae: 0.0426 - val_loss: 0.0084 - val_mae: 0.0483 - lr: 0.0010\n",
+      "Epoch 5/100\n",
+      "63/63 [==============================] - 14s 229ms/sample - loss: 0.0080 - mae: 0.0426 - val_loss: 0.0088 - val_mae: 0.0435 - lr: 0.0010\n",
+      "Epoch 6/100\n",
+      "63/63 [==============================] - 14s 222ms/sample - loss: 0.0080 - mae: 0.0420 - val_loss: 0.0077 - val_mae: 0.0408 - lr: 0.0010\n",
+      "Epoch 7/100\n",
+      "63/63 [==============================] - 14s 223ms/sample - loss: 0.0075 - mae: 0.0398 - val_loss: 0.0077 - val_mae: 0.0422 - lr: 0.0010\n",
+      "Epoch 8/100\n",
+      "63/63 [==============================] - 13s 210ms/sample - loss: 0.0075 - mae: 0.0416 - val_loss: 0.0072 - val_mae: 0.0410 - lr: 0.0010\n",
+      "Epoch 9/100\n",
+      "63/63 [==============================] - 13s 214ms/sample - loss: 0.0073 - mae: 0.0398 - val_loss: 0.0073 - val_mae: 0.0398 - lr: 0.0010\n",
+      "Epoch 10/100\n",
+      "63/63 [==============================] - 13s 210ms/sample - loss: 0.0073 - mae: 0.0404 - val_loss: 0.0071 - val_mae: 0.0397 - lr: 0.0010\n",
+      "Epoch 11/100\n",
+      "63/63 [==============================] - 13s 208ms/sample - loss: 0.0075 - mae: 0.0404 - val_loss: 0.0072 - val_mae: 0.0397 - lr: 0.0010\n",
+      "Epoch 12/100\n",
+      "63/63 [==============================] - 14s 221ms/sample - loss: 0.0072 - mae: 0.0399 - val_loss: 0.0071 - val_mae: 0.0404 - lr: 0.0010\n",
+      "Epoch 13/100\n",
+      "63/63 [==============================] - 14s 225ms/sample - loss: 0.0071 - mae: 0.0394 - val_loss: 0.0073 - val_mae: 0.0403 - lr: 0.0010\n",
+      "Epoch 14/100\n",
+      "63/63 [==============================] - 14s 220ms/sample - loss: 0.0070 - mae: 0.0389 - val_loss: 0.0077 - val_mae: 0.0422 - lr: 0.0010\n",
+      "Epoch 15/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0070 - mae: 0.0393\n",
+      "Epoch 15: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n",
+      "63/63 [==============================] - 13s 212ms/sample - loss: 0.0070 - mae: 0.0393 - val_loss: 0.0076 - val_mae: 0.0383 - lr: 0.0010\n",
+      "Epoch 16/100\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "63/63 [==============================] - 14s 224ms/sample - loss: 0.0063 - mae: 0.0353 - val_loss: 0.0068 - val_mae: 0.0369 - lr: 1.0000e-04\n",
+      "Epoch 17/100\n",
+      "63/63 [==============================] - 14s 229ms/sample - loss: 0.0060 - mae: 0.0347 - val_loss: 0.0068 - val_mae: 0.0369 - lr: 1.0000e-04\n",
+      "Epoch 18/100\n",
+      "63/63 [==============================] - 15s 232ms/sample - loss: 0.0059 - mae: 0.0343 - val_loss: 0.0069 - val_mae: 0.0375 - lr: 1.0000e-04\n",
+      "Epoch 19/100\n",
+      "63/63 [==============================] - 14s 223ms/sample - loss: 0.0058 - mae: 0.0341 - val_loss: 0.0069 - val_mae: 0.0367 - lr: 1.0000e-04\n",
+      "Epoch 20/100\n",
+      "63/63 [==============================] - 14s 221ms/sample - loss: 0.0058 - mae: 0.0339 - val_loss: 0.0069 - val_mae: 0.0367 - lr: 1.0000e-04\n",
+      "Epoch 21/100\n",
+      "63/63 [==============================] - 14s 220ms/sample - loss: 0.0055 - mae: 0.0333 - val_loss: 0.0069 - val_mae: 0.0367 - lr: 1.0000e-04\n",
+      "Epoch 22/100\n",
+      "63/63 [==============================] - 14s 220ms/sample - loss: 0.0055 - mae: 0.0333 - val_loss: 0.0069 - val_mae: 0.0368 - lr: 1.0000e-04\n",
+      "Epoch 23/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0054 - mae: 0.0330\n",
+      "Epoch 23: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n",
+      "63/63 [==============================] - 13s 208ms/sample - loss: 0.0054 - mae: 0.0330 - val_loss: 0.0070 - val_mae: 0.0372 - lr: 1.0000e-04\n",
+      "Epoch 24/100\n",
+      "63/63 [==============================] - 13s 212ms/sample - loss: 0.0052 - mae: 0.0327 - val_loss: 0.0070 - val_mae: 0.0368 - lr: 1.0000e-05\n",
+      "Epoch 25/100\n",
+      "63/63 [==============================] - 14s 215ms/sample - loss: 0.0052 - mae: 0.0324 - val_loss: 0.0070 - val_mae: 0.0368 - lr: 1.0000e-05\n",
+      "Epoch 26/100\n",
+      "63/63 [==============================] - 15s 232ms/sample - loss: 0.0051 - mae: 0.0322 - val_loss: 0.0070 - val_mae: 0.0368 - lr: 1.0000e-05\n",
+      "Epoch 27/100\n",
+      "63/63 [==============================] - 15s 234ms/sample - loss: 0.0051 - mae: 0.0320 - val_loss: 0.0070 - val_mae: 0.0368 - lr: 1.0000e-05\n",
+      "Epoch 28/100\n",
+      "63/63 [==============================] - 14s 216ms/sample - loss: 0.0051 - mae: 0.0321 - val_loss: 0.0070 - val_mae: 0.0367 - lr: 1.0000e-05\n",
+      "Epoch 29/100\n",
+      "63/63 [==============================] - 15s 234ms/sample - loss: 0.0051 - mae: 0.0321 - val_loss: 0.0069 - val_mae: 0.0367 - lr: 1.0000e-05\n",
+      "Epoch 30/100\n",
+      " 0/63 [..............................] - ETA: 0s - loss: 0.0051 - mae: 0.0319\n",
+      "Epoch 30: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n",
+      "63/63 [==============================] - 15s 245ms/sample - loss: 0.0051 - mae: 0.0319 - val_loss: 0.0070 - val_mae: 0.0367 - lr: 1.0000e-05\n",
+      "Epoch 31/100\n",
+      "63/63 [==============================] - 14s 223ms/sample - loss: 0.0050 - mae: 0.0318 - val_loss: 0.0070 - val_mae: 0.0367 - lr: 1.0000e-06\n",
+      "Epoch 32/100\n",
+      "63/63 [==============================] - 15s 232ms/sample - loss: 0.0051 - mae: 0.0320 - val_loss: 0.0070 - val_mae: 0.0368 - lr: 1.0000e-06\n",
+      "1/1 [==============================] - 2s 2s/step\n",
+      "{'crick_mut': 6.125542822830188, 'shift': 0.6044038622545149, 'radius': 0.4849254199506773, 'pitch': 1.9938850492718965}\n"
+     ]
+    }
+   ],
+   "source": [
+    "results = opt_conf(data, True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d71a4c6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'3_4_7_11_7_1_3_1': ({'crick_mut': 6.15276407836929,\n",
+       "   'shift': 0.5514810930637769,\n",
+       "   'radius': 0.44430623251903495,\n",
+       "   'pitch': 1.7805409266136933},\n",
+       "  {'activation': 'tanh',\n",
+       "   'norm': True,\n",
+       "   'n_layers': 7,\n",
+       "   'kernel_sizes': (3, 4, 7, 11),\n",
+       "   'lstm': 1,\n",
+       "   'dense': 3,\n",
+       "   'reshape_out': False,\n",
+       "   'epochs': 100,\n",
+       "   'attention': 1,\n",
+       "   'task': 'hamp_full_params',\n",
+       "   'version': '3_4_7_11_7_1_3_1',\n",
+       "   'data_dir': '/Users/awinski/PycharmProjects/HAMPpred1/data/output/weights/hamp_full_params/3_4_7_11_7_1_3_1'}),\n",
+       " '3_4_7_11_7_1_3_3': ({'crick_mut': 6.20248293613129,\n",
+       "   'shift': 0.6033072580978741,\n",
+       "   'radius': 0.4663686143609071,\n",
+       "   'pitch': 1.947769737231536},\n",
+       "  {'activation': 'tanh',\n",
+       "   'norm': True,\n",
+       "   'n_layers': 7,\n",
+       "   'kernel_sizes': (3, 4, 7, 11),\n",
+       "   'lstm': 1,\n",
+       "   'dense': 3,\n",
+       "   'reshape_out': False,\n",
+       "   'epochs': 100,\n",
+       "   'attention': 3,\n",
+       "   'task': 'hamp_full_params',\n",
+       "   'version': '3_4_7_11_7_1_3_3',\n",
+       "   'data_dir': '/Users/awinski/PycharmProjects/HAMPpred1/data/output/weights/hamp_full_params/3_4_7_11_7_1_3_3'}),\n",
+       " '3_4_7_11_7_3_3_1': ({'crick_mut': 6.319387349862344,\n",
+       "   'shift': 0.5685698849950461,\n",
+       "   'radius': 0.45411619076242293,\n",
+       "   'pitch': 1.7936115947936344},\n",
+       "  {'activation': 'tanh',\n",
+       "   'norm': True,\n",
+       "   'n_layers': 7,\n",
+       "   'kernel_sizes': (3, 4, 7, 11),\n",
+       "   'lstm': 3,\n",
+       "   'dense': 3,\n",
+       "   'reshape_out': False,\n",
+       "   'epochs': 100,\n",
+       "   'attention': 1,\n",
+       "   'task': 'hamp_full_params',\n",
+       "   'version': '3_4_7_11_7_3_3_1',\n",
+       "   'data_dir': '/Users/awinski/PycharmProjects/HAMPpred1/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_1'}),\n",
+       " '3_4_7_11_7_3_3_3': ({'crick_mut': 6.125542822830188,\n",
+       "   'shift': 0.6044038622545149,\n",
+       "   'radius': 0.4849254199506773,\n",
+       "   'pitch': 1.9938850492718965},\n",
+       "  {'activation': 'tanh',\n",
+       "   'norm': True,\n",
+       "   'n_layers': 7,\n",
+       "   'kernel_sizes': (3, 4, 7, 11),\n",
+       "   'lstm': 3,\n",
+       "   'dense': 3,\n",
+       "   'reshape_out': False,\n",
+       "   'epochs': 100,\n",
+       "   'attention': 3,\n",
+       "   'task': 'hamp_full_params',\n",
+       "   'version': '3_4_7_11_7_3_3_3',\n",
+       "   'data_dir': '/Users/awinski/PycharmProjects/HAMPpred1/data/output/weights/hamp_full_params/3_4_7_11_7_3_3_3'})}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "249535d9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5ecdce4a",
+   "metadata": {},
+   "source": [
+    "## Load Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "4a1db31d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "best_model_config = {'activation': 'tanh',\n",
+    " 'norm': True,\n",
+    " 'n_layers': 3,\n",
+    " 'kernel_sizes': (3, 4, 7),\n",
+    " 'lstm': 2,\n",
+    " 'dense': 1,\n",
+    " 'reshape_out': False,\n",
+    " 'epochs': 100,\n",
+    " 'task': 'hamp_rot',\n",
+    " 'version': \"3_4_7_3_1_1_1\"}\n",
+    "\n",
+    "best_file = None\n",
+    "mod = get_mod(conf=best_model_config, version=\"3_4_7_11_7_3_3_3\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "429bcd16",
+   "metadata": {},
+   "source": [
+    "## Test on PDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "4d9dfe74",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_data = pd.read_pickle(f'{DATA_DIR}/pdb_measure_all.p')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "ac118f83",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "11"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_data = test_data[~test_data.mutant]\n",
+    "test_data.rename(columns={'seq1':'n_seq', 'seq2':'c_seq', 'n_list':'n_crick_mut', 'c_list':'c_crick_mut'}, inplace=True)\n",
+    "test_data['n_seq'] = test_data['n_seq'].apply(lambda x: x[1:-1])\n",
+    "test_data['c_seq'] = test_data['c_seq'].apply(lambda x: x[1:-1])\n",
+    "test_data['train_seq'] = test_data.apply(lambda x: x['n_seq'] + x['c_seq'], axis=1)\n",
+    "len(test_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fccc1c1d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "a72a01f7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1/1 [==============================] - 2s 2s/step\n"
+     ]
+    }
+   ],
+   "source": [
+    "pr, tr = get_pdb_results(test_data, mod, use_diffs=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2d952a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "4cfc43ed",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for param in tr:\n",
+    "    title_font_size = 12\n",
+    "    label_font_size = 10\n",
+    "    tick_font_size = 8\n",
+    "    fet = \"shift\"\n",
+    "    unit = \"\\AA\"\n",
+    "    # for fet in tr_dict:\n",
+    "    # tr, pr = tr_dict[fet], pred_dict[fet]\n",
+    "    fig, ax = plt.subplots(1,1, figsize=(4, 4), dpi=200)\n",
+    "\n",
+    "    colors = ['white' if i=='1_2l7i.pdb' else 'grey' for i in test_data.index]\n",
+    "\n",
+    "    ax.scatter(pr[param], tr[param], color=colors, lw=0.75, edgecolors='k', s=50)\n",
+    "    lim_min, lim_max = min(pr[param]+tr[param]) -1, max(pr[param]+tr[param]) +1\n",
+    "#     lim_min, lim_max = -26, 26\n",
+    "    ax.set_ylim(lim_min, lim_max)\n",
+    "    ax.set_xlim(lim_min, lim_max)\n",
+    "    ax.plot([0, 1], [0, 1], '--', transform=ax.transAxes, color='grey')\n",
+    "\n",
+    "    ax.set_xlabel(fr'Predicted {param} [${unit}$]', size=label_font_size)\n",
+    "    ax.set_ylabel(fr'Experimental structure {param} [${unit}$]', size=label_font_size)\n",
+    "\n",
+    "    ax.tick_params(axis='both', which='major', labelsize=tick_font_size)\n",
+    "    ax.tick_params(axis='both', which='minor', labelsize=tick_font_size)\n",
+    "    ax.set_title(f\"HAMPpred predictions of {param}\", size=title_font_size)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8f1b3c96",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "95ffe755",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ddedd828",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/steps/3d_params_correlation.ipynb b/notebooks/steps/3d_params_correlation.ipynb
new file mode 100644
index 0000000..f3e714b
--- /dev/null
+++ b/notebooks/steps/3d_params_correlation.ipynb
@@ -0,0 +1,207 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cff50031",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "sys.path.append('../..')\n",
+    "from hamp_pred.src.input_prep.prepare_sequence import MultiChainOperator, SeqWindow\n",
+    "from hamp_pred.src.input_prep.encode import MultiEncoder, OneHotEncoderSeq, RadianEncoder \n",
+    "from hamp_pred.src.input_prep.encode import RadiousPhobosEncoder\n",
+    "from hamp_pred.src.predictor_config import PredictionConfig \n",
+    "from hamp_pred.src.models.common.models import BaseConvolutionalWrapper \n",
+    "from hamp_pred.src.predictor import Predictor"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0be13738",
+   "metadata": {},
+   "source": [
+    "# Preapare data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "73e0f4bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DATA_DIR = '../../data/input'\n",
+    "\n",
+    "# data set contains train and validation sets\n",
+    "# the val set is used for eraly stopping \n",
+    "data = f'{DATA_DIR}/af_all_params_clean_model1.p'\n",
+    "data = pd.read_pickle(data)\n",
+    "data[\"P_diff\"] = data[\"n_P\"] - data[\"c_P\"]\n",
+    "data[\"p_diff\"] = data[\"n_p\"] - data[\"c_p\"]\n",
+    "\n",
+    "assert all(data['train_seq'].str.len() == 22)\n",
+    "\n",
+    "# separate test set used to pick the best model\n",
+    "#data_test = f'{DATA_DIR}/af_clean_model_test.p'\n",
+    "#data_test = pd.read_pickle(data_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "874a33cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_mean_params(data):\n",
+    "    results = []\n",
+    "    for ind, row in data.iterrows():\n",
+    "        results.append([np.mean(row[\"rot\"]), np.mean(row[\"shift_diff\"]), np.mean(row[\"radius_diff\"]), np.mean(row[\"pitch_diff\"])])\n",
+    "    return pd.DataFrame(results, columns=[\"mean_rot\", \"mean_shift\", \"mean_radius\", \"mean_pitch\"])\n",
+    "    \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a80ae468",
+   "metadata": {},
+   "source": [
+    "# Compute correlation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "9b19e32d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "expanded_per_helix = data[[\"rot\", \"n_shift\", \"c_shift\", \"n_radius\", \"c_radius\", \"n_pitch\", \"c_pitch\", \"n_P\", \"c_P\", \"n_p\", \"c_p\"]].explode([\"rot\", \"n_shift\", \"c_shift\", \"n_radius\", \"c_radius\", \"n_pitch\", \"c_pitch\", \"n_P\", \"c_P\", \"n_p\",\"c_p\"]).reset_index(drop=True).astype(\"float64\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "832ca65e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "expanded_helix_diff = data[[\"rot\", \"shift_diff\", \"radius_diff\", \"pitch_diff\", \"P_diff\", \"p_diff\"]].explode([\"rot\", \"shift_diff\", \"radius_diff\", \"pitch_diff\", \"P_diff\", \"p_diff\"]).reset_index(drop=True).astype(\"float64\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "7a31332b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "corr_frame_per_helix = expanded_per_helix.corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "c7378a87",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "corr_frame_helix_diff = expanded_helix_diff.corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "caf73ff3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 2000x2000 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1,1, figsize=(10, 10), dpi=200)\n",
+    "sns.heatmap(corr_frame_per_helix, annot=True, ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "21122682",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 2000x2000 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1,1, figsize=(10, 10), dpi=200)\n",
+    "sns.heatmap(corr_frame_helix_diff, annot=True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "802ee18f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5ceecbf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/steps/3e_model_all_params_per_helix.ipynb b/notebooks/steps/3e_model_all_params_per_helix.ipynb
new file mode 100644
index 0000000..b1eb00e
--- /dev/null
+++ b/notebooks/steps/3e_model_all_params_per_helix.ipynb
@@ -0,0 +1,473 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1f18e649",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "sys.path.append('../..')\n",
+    "from hamp_pred.src.input_prep.prepare_sequence import MultiChainOperator, SeqWindow\n",
+    "from hamp_pred.src.input_prep.encode import MultiEncoder, OneHotEncoderSeq, RadianEncoder \n",
+    "from hamp_pred.src.input_prep.encode import RadiousPhobosEncoder\n",
+    "from hamp_pred.src.predictor_config import PredictionConfig \n",
+    "from hamp_pred.src.models.common.models import BaseConvolutionalWrapper \n",
+    "from hamp_pred.src.predictor import Predictor\n",
+    "from collections import defaultdict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a23bdcc2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71cb681c",
+   "metadata": {},
+   "source": [
+    "## Prepare data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "65cb365b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DATA_DIR = '../../data/input'\n",
+    "\n",
+    "# data set contains train and validation sets\n",
+    "# the val set is used for eraly stopping \n",
+    "data = f'{DATA_DIR}/af_all_params_clean_model1.p'\n",
+    "data = pd.read_pickle(data)\n",
+    "\n",
+    "data['train_seq'] = data.apply(lambda x: x['n_seq'] + x['c_seq'], axis=1)\n",
+    "\n",
+    "\n",
+    "assert all(data['train_seq'].str.len() == 22)\n",
+    "\n",
+    "# separate test set used to pick the best model\n",
+    "#data_test = f'{DATA_DIR}/af_clean_model_test.p'\n",
+    "#data_test = pd.read_pickle(data_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "42095feb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def train(data, conf, version):\n",
+    "    operator = MultiChainOperator(MultiEncoder([RadiousPhobosEncoder(), OneHotEncoderSeq()]), SeqWindow(11, 11), RadianEncoder(100),  SeqWindow(11, 11, null_char=[[0]]),\n",
+    "                                          parallel=True)\n",
+    "    conf = PredictionConfig(BaseConvolutionalWrapper, operator, conf)\n",
+    "    mod = Predictor('hamp_all_params_per_helix', config=conf, version=version)\n",
+    "    trained = mod.train(data)\n",
+    "    return mod, trained\n",
+    "\n",
+    "def get_mod(conf=None, version=None):\n",
+    "    operator = MultiChainOperator(MultiEncoder([RadiousPhobosEncoder(), OneHotEncoderSeq()]), SeqWindow(11, 11), RadianEncoder(100),  SeqWindow(11, 11, null_char=[[0]]),\n",
+    "                                          parallel=True)\n",
+    "    conf = PredictionConfig(BaseConvolutionalWrapper, operator, conf)\n",
+    "    mod = Predictor('hamp_all_params_per_helix', config=conf, version=version)\n",
+    "    return mod\n",
+    "\n",
+    "def get_pdb_results(test_data, mod, predictions=None, use_diffs=False):\n",
+    "    predictions = predictions or [\"n_crick_mut\", \"n_shift\", \"n_radius\", \"n_pitch\", \"n_P\", \"n_p\",\n",
+    "                                  \"c_crick_mut\", \"c_shift\", \"c_radius\", \"c_pitch\", \"c_P\", \"c_p\"]\n",
+    "    if use_diffs:\n",
+    "        predictions = list({pred[2:] for pred in  predictions})\n",
+    "    true_results = defaultdict(list)\n",
+    "    predictions_results = defaultdict(list)\n",
+    "    \n",
+    "    seq = []\n",
+    "    tr = []\n",
+    "    for n,r in test_data.iterrows():\n",
+    "        seq.append(r['n_seq'] + r['c_seq'])\n",
+    "        for prediction in predictions:\n",
+    "            if use_diffs:\n",
+    "                result  = r[\"n_\" + prediction] - r[\"c_\" + prediction]\n",
+    "            else:\n",
+    "                result = r[prediction]\n",
+    "            res = np.mean((result[0::2] + result[1::2]) / 2)/2\n",
+    "            predictions_results[prediction].append(res)\n",
+    "            \n",
+    "    res = mod.predict(seq)\n",
+    "    pr = []\n",
+    "    for n,r in res.iterrows():\n",
+    "        for nc, prediction in enumerate(predictions):\n",
+    "            if use_diffs:\n",
+    "                result  = r[\"n_\" + prediction] - r[\"c_\" + prediction]\n",
+    "            else:\n",
+    "                result = r[prediction]\n",
+    "            res = np.mean(result)/2\n",
+    "            true_results[prediction].append(res)\n",
+    "    return predictions_results, true_results\n",
+    "\n",
+    "def get_rmse(val, mod):\n",
+    "    params = [\"n_crick_mut\", \"n_shift\", \"n_radius\", \"n_pitch\", \"n_P\", \"n_p\",\n",
+    "                                  \"c_crick_mut\", \"c_shift\", \"c_radius\", \"c_pitch\", \"c_P\",\"c_p\"]\n",
+    "    params_rmse = {param: 0 for param in params}\n",
+    "    tr_d = {param: 0 for param in params}\n",
+    "    pr_d = {param: 0 for param in params}\n",
+    "    seqs = list(val.train_seq)\n",
+    "    for key in params_rmse:\n",
+    "        tr=[]\n",
+    "        for n,r in val.iterrows():\n",
+    "            tr.append(np.mean((r[key][0::2] + r[key][1::2]) / 2)/2)\n",
+    "            tr_d[key] = tr\n",
+    "    res = mod.predict(seqs)\n",
+    "    size=1\n",
+    "    cnt=0\n",
+    "    step = len(params_rmse) + 1\n",
+    "    for key in params_rmse:\n",
+    "        pr = []\n",
+    "        for n,r in res.iterrows():\n",
+    "            pr.append(np.mean(r[key])/2)\n",
+    "            pr_d[key] = pr\n",
+    "        cnt+=1\n",
+    "    for key in params_rmse:\n",
+    "        params_rmse[key] = np.mean((np.array(tr_d[key])-np.array(pr_d[key])) **2 ) ** 0.5\n",
+    "    return params_rmse\n",
+    "\n",
+    "def opt_conf(data, tune=False):\n",
+    "    \n",
+    "    # data: train and val (val for the eraly stopping)\n",
+    "    \n",
+    "    data_val = data[data['class'] == 'val']\n",
+    "    \n",
+    "    results = {}\n",
+    "\n",
+    "    # parameters grid\n",
+    "    kernels = [(3, 4, 7)]\n",
+    "    layers = [3]\n",
+    "    lstm = [1, 2]\n",
+    "    dense = [1, 3]\n",
+    "    \n",
+    "    for kern in kernels:\n",
+    "        for l in layers:\n",
+    "            for ls in lstm:\n",
+    "                for d in dense:\n",
+    "                    model_config = {\n",
+    "                        'activation': 'tanh',\n",
+    "                        'norm': True,\n",
+    "                        'n_layers': l,\n",
+    "                        'kernel_sizes': kern,\n",
+    "                        'lstm': ls,\n",
+    "                        'dense': d,\n",
+    "                        'reshape_out': False,\n",
+    "                        'epochs': 100\n",
+    "                    }\n",
+    "                    version = '_'.join([str(x) for x in [\"_\".join([str(i) for i in kern]), l, ls, d]])\n",
+    "                    if tune:\n",
+    "                        mod, trained = train(data, model_config, version)\n",
+    "                    else:\n",
+    "                        mod = get_mod(model_config, version)\n",
+    "                        \n",
+    "                    results[version] = (get_rmse(data_val, mod), model_config)\n",
+    "                    print(results[version][0])\n",
+    "    return results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eebc0ecb",
+   "metadata": {},
+   "source": [
+    "## Train Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a89aa3c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# results = opt_conf(data, True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d71a4c6e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "249535d9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5ecdce4a",
+   "metadata": {},
+   "source": [
+    "## Load Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4a1db31d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "best_model_config = {'activation': 'tanh',\n",
+    " 'norm': True,\n",
+    " 'n_layers': 3,\n",
+    " 'kernel_sizes': (3, 4, 7),\n",
+    " 'lstm': 2,\n",
+    " 'dense': 1,\n",
+    " 'reshape_out': False,\n",
+    " 'epochs': 100,\n",
+    " 'task': 'hamp_rot',\n",
+    " 'version': \"3_4_7_3_1_3\"}\n",
+    "\n",
+    "best_file = None\n",
+    "mod = get_mod(conf=best_model_config, version=\"3_4_7_3_1_3\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "429bcd16",
+   "metadata": {},
+   "source": [
+    "## Test on PDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "4d9dfe74",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_data = pd.read_pickle(f'{DATA_DIR}/pdb_measure_all.p')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ac118f83",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "11"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_data = test_data[~test_data.mutant]\n",
+    "test_data.rename(columns={'seq1':'n_seq', 'seq2':'c_seq', 'n_list':'n_crick_mut', 'c_list':'c_crick_mut'}, inplace=True)\n",
+    "test_data['n_seq'] = test_data['n_seq'].apply(lambda x: x[1:-1])\n",
+    "test_data['c_seq'] = test_data['c_seq'].apply(lambda x: x[1:-1])\n",
+    "test_data['train_seq'] = test_data.apply(lambda x: x['n_seq'] + x['c_seq'], axis=1)\n",
+    "len(test_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "a72a01f7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1/1 [==============================] - 1s 644ms/step\n"
+     ]
+    }
+   ],
+   "source": [
+    "pr, tr = get_pdb_results(test_data, mod, use_diffs=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2d952a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "4cfc43ed",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxQAAAMECAYAAAAmVWMKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAB7CAAAewgFu0HU+AADFpklEQVR4nOzdd3xUdb7/8dcnCQm99yogRZEiCFYUcEFQUVGRmoDruru66jZ37979bXf36u69e7fc1bWsK4RmR0GwKwrY6FKU3nsvgZD2/f1xJjCTOklm5kyS9/PxmMeZ+Z7v+Z7PTCbJfOZ8iznnEBERERERKY8EvwMQEREREZHKSwmFiIiIiIiUmxIKEREREREpNyUUIiIiIiJSbkooRERERESk3JRQiIiIiIhIuSmhEBERERGRclNCISIiIiIi5aaEQkREREREyk0JhYiIiIiIlJsSChERERERKTclFCIiIiIiUm5KKEREREREpNyUUIiIiIiISLkpoRARERERkXJTQiEiIiIiIuWmhEJERERERMpNCYWIiIiIiJSbEgoRERERESk3JRQiIlWAmQ0yMxe4LfA7nqrEzKYEvbaTi6nzm6A6v4lthOExs21BMV7gdzziMbPRZjbXzHab2dl4+D2OxnslnN+jAvWHmtmLZrbdzM4EHbstEvFIZCmhEKkAM1tQ3g8RBT6ALCjHuacHHe/M7D/K0ca2Am04M+tdxjZeKqKNycXUvaCIusG3HDM7bGZfmtm/zOwGM7OyPi8RkXhnnhnAi8DNQGsg2d+o4oOZPQq8A4wG2gM1/Y1ISpPkdwAiUnZmVg8YVaB4EvDHCDSfBvw4zDgaASMjcM58iUDjwK0ncA+wxMwmOOc2RvA8IpVa4FvaDoGHHZ1z2/yLRsppfOCW7wtgHZAReFwt/+aZ2dXAz4KK1gIrgOOBx4cD9QYBHwbKPnLODYpNhFIUJRQildNooHaBsovMrL9zbkkF2x5vZj91zuWGUXcMkFKBc6UDJ4MeJwFtgYFA/UBZf+BjM7vCObe9AucSEYknqUH3f+2c+51vkcSX4NflWeBe55zzKxgJjxIKkcppUtD9M0CtoPLyJhTrgIuBlsAw4M0wjkkLbLOAHcCFZTznr4v6ZjVwBeZR4HuBopbAE8BNZWxfJCacc78BfuNzGCVyzl3gdwwSom/Q/Wd9iyJGnHOTgclhVA1+XZ5TMlE5aAyFSCVjZh3xvsEHcMDDQbvHmVl5++BOC7qfVmyt83F0Aa4MPJxP4DJ0JDjnTjrnHgBeDiq+0cy6ReocIiI+axR0f69vUcQfvS6VkBIKkconDcgfqPwR8DRwMPC4Md7gvvJYCXwZuH+rmdUvoW5+HPmmlvOcpflDgcfXR+k8IiKxdq6XiHMuz89A4kyNoPt6XSoJJRQilUhgxqPgD/LTnHM5wPNBZZMov/TAthbeOI2S4pgYeHgYmFeBc5ZkFecHKAJ0KhBHoalSAzOn3G5mcwLTDWaa2T4ze8fM0sys1L97wTNPBZX1NrO/mdkaMzsS2P9aMcc3MbMfm9m7ZrYzEMMxM1tnZo+b2WVleRHMrIuZ/dXMvjazjMD5V5rZ78ysbVnaKsM5C03xGHhe/2FmX5jZwcBUjpvN7GkzuzSMNicHtTklUJZoZmPN7HUz22Lnp4e8rZg2+pvZXwLP/6CZZQV+vh8FYmtU1HElxHRb4Nz5U3buCvzcUs0s7G7BVo5pY82sl5k9ZmafB55DlpmdMrP1ZvaCmd1jZg2C6p+bJY3zA7IBtlrRs6YNKnC+Mk0FamYdAu+xz8xsfyC+/YHHvzWzdmG0UeR0xmY2xMyeD/zMM82b3e1jM3vAzGqU0GRw293N7E+BeA4F4ss0swNmtszMnjOzSWV9T4Rx3hvM7N9mtsHMTgTes9vNbHbgPV5s/ME/gwLlhX5+FYyxv5n9w8yWm9lR82bQO2NmewOv1z/N7C4zq1OGNtua2SNmtsq8v2cZ5v1N+j8z6xDG8cVOG2tBMyZS+nt7SqDeh0H1rivmd2BbuM9PKsg5p5tuupXzBizA63bkgN+U8djfBB27IMxjBgYdcwaoHyjvH1SeBTQLs71tQccNxxurkBN4/FEJx10XdNw/AmWfBZVNLua4C4LqOOCCMGLcHVT/6QL7BgW/hkA94LUC5yh4+wRoXso5z9UP+lnlFNHWa0Uc+z3gWCkx5OH1mU4O4/nfH/hZF9fWUbyZtkJeiwi8t6cE/zzxurftLiGOHEr5HQi0k19/Ct40mQuLae+2Asc2wusCV9Lrmv963BnG86uLlwiX1NZCvN+JkNcijN/n0l6HhnhfAuSF8Xz2lfD7U9ptUAm/7yX+7gH/r5T3nQvs/49S2gl5X+JNi/p0Ke0uA5qW0u5vKPp3sqjb9Ir+PgTO2Rx4L4zzbQAuK6aNbWHG7MoZYxLwVBneI78PI84LgNso+e/aaeCmsvxNKbBvQRlinlKGutsi8bPXrfSbBmWLVC6Tgu6/7pw7AeCcW2JmXwPd8S4Xjwf+VtbGnXP7zOxdvORioJld4IqejjI4jvQi9keEmRneh698x4upmm8KcCveP5L8KRhTgKvw/imC98H4fTO7Ov/1KyWGnwC/DjzcHGj3dKC97AJ1/wp8P6joEPApsA9vHvVLgUvwuqx9E2htZje5Yro7mNl3gMeDirLx/vFux+veNiiwfRn4eWnPpQI6AP+L96H+FPABsB8vIRiMN+NYIvBrM0twzv0qjDZTgDlAP7wPhp/gvb4phA7KxMxaBs55UVDxWrwrWKfwPugNBJrgvV9eNLNU59yMok4c+AZ5HnBtUPE+4GO8WccuBK4J3GYDW8J4PmExs9aB5xI8HugYsBivv3gNvHn3++HNdBY8//4Jzr8f0vASaCg8W1q+3eWM8R+cnxABvNf4Q7zXqCXez7xuILbHzKylc+6HYTb/NN7fjzzgc+BrvN4SV3D+NemL95xuLCa+73P+dxK837PP8F4/h/c70R3v/ZIYZlwlMrMWeD+jzkHFmwPP4SzehBaXB8q7AB+a2XDn3OICTU3Fe59C6Gv8OJHx38C3gx7vxvubdRDvdW4SiLUs49G+ATyJ91ruwPubdgLoiPc3KAnvqvaLZnaJc25rOeKeDawJ3C/tvf0J3nuyDV6iA7An0EZBERvbJ6XwO6PRTbfKfCOGVyjw/mAfDzrmpgL7fx60b3mYMWwLOmZ4oGxcUNkvi4njRGD/V0HlEb9CgfcBPLj+/QX2Dwradzaw3UIR3w4C38K7epNf/6kSzht8zmy8D3y3FVEvJej+N4OOOR44X40ijhkM7Aqq+9NiYuhC6DfEC4C2Bc8P/KXA8w/r/RTGe2NKEa/tdAJXxYLqNQJeCaqbC1xVTJuTC7yu+c+r0Psg/7XF+xD0QdBxnwOXFlG/Jt6HzPxv/U/hrc9QVBy/DGovD+93J7FAna5444oKvrbFvbd/E1SnyL8FeB+8FgXVO433obKo90ky3pWn2WH87pb4e1SWY4C7Crz/nyviZ14fbxKH4Hq3F9PeoKA6mZxP9rsXqGd4yXhwm9cW8xoeDKrzs6Jev0DdxsDdFPM7Vsbfh/lB5zwFjC2izmV4SUZ+vR1AwxLaPPdcKxpfoL0mQb9XOXiJmxVTtxXwIHBPGO+VzMBznliwPaAHoX/P/l1CfFNK+z0qy3ubCF+V1a2C7z+/A9BNt8p8IzSh+AL4RxluX5TljyHeVYf8+geApAL7OxDahaJnGG0G/+HOTyiCE5cNpcTxn0Hl0UgoXipQv1uB/YMK7D8FdC6hvXuC6uYVV7dAm7kU8cGmQP16eF1t8j98Xl5K/Ys4nywcAmoXUWdGUAxriqoTVPeZAjGX+n4K470xpUCb84CEYuom4X2DnV/342LqTS7Q5pdArVLiSA2q/2kY9X8TVP+fRexvgDcuJ7/Or0toqxneN5/BMRf33g4+72+KqfOtoDpZwMAK/Hy2hft7FO4xeMnblqA6L1L8B1IjtHvhpqLeHxT+Hd0A1C0hxuDf+aJ+fpcE7V9U0fd5mK/b4ALPodiuPXh/444F1f1VCXXPtRmhOG8OarNC3bwKvFfyCPx/KKbuTUF1T1Lgf1NQvSml/R6V5b2NEoq4umlQtkjk9Mf7tjHcW/8ytj8p6P4s5w3GPsd5i759XEz9sDnnzuD9UwfoYmZXFqiSPyg8D+8b64gzs7qBbhd3BhW/6ZxbX8qh/+uc21zcTufcs3j9s8H7QPStMMJ52Tn3cSl1vsn5rllPOOc+L6myc+4rzs+M1QSvi9k5ZtYQuCOo6KfOudMlNPlTQgevR5oDHnLFdM0KvBcfCioaaOFN8fsfgfdbSX4UdP+7YdR/DO8DHXjTKBf8Pzee84tC7sJb76RIzrmDhHatqajgFej/1zm3MIJtR8IwvG4s4CU8D7nAJ7eCAuXf43y3v87A0DDO8TPn3KkS9v876P6AIvYHzz53sIj90fCdoPtznHPFTkLhvC6i/xVU9N1A181YiNZr84Zz7q0S9s/H6w4HXle4i0qoK1WUEgqRSsDM2uD1Y803rZiqweMZJphZefsPB7dzblYpM2sVFMcC59zOcraf77eBmUjyb0+a2Ry8D3rB/YsPFHgcTtzh1BkcRv3nS68S0td7Zhj1wevGk++aAvuu4vwK5AeAkv6Z45w7ijceIVo+KSlRC8SwGlgRVFTaa3sUeKekCoH3W5/Aw3XOuVWltIlzLhPvSgZ4VyMuKVAlOK4XnHNZpTT5PN6H6woJzILTPajoHxVtMwqGBN2f75zbV2xNwDm3m9D3Zmk/80xgbil1gt9DFxSxP/hvzmAz61pKe5EQ/Lz+XWyt857j/HSnrSjbeIWKCH5tbjez5hFq96WSdgaSy+DfzQsidF6pRDQoWyRyfuu81XLDYt7UkuF++zmR818AfO2cW1pMvZfxBvfVxBs8eQPet0dltRDYivdt5Rgz+37gg9dEzg9yjMRg7FIX0MO7ojDBlT7Q75BzblMY7X0adL+PmVlx38IGnb80wVdxvm1m4VwdCp7uteD0m8FTsH5R3JWBAj7FG/8SDZ+WXuVcvfzYS5tGdqVzLreUOsGva63AVatwBA+cbcf59VUKxlXq83LOnTSzNRQYKF4OVwTd3+ic21XB9qIh+LX5JMxjFuON9YDSX6P1zrnsUuoED6IttBaOc26nmX2G93o2AJaZ2TS8AbmLS7mSV2aBL3OCP5iX+ro45w6a2QbOJ5B98QafR9tneElFO7yB/WvN7Dm8JO7zMJLn4qwOo06JPzep+pRQiFQOwR9Qi7s6gXPuhJm9DowJOq7MCYVzzpnZdLzBq43wPjC8gtefHbzuNa+Utd0w5OIN+N4FLMFLkN4q5QN/vh1hniO4Xgre+IeSZnsqseuAmdXl/IwkEF43qoIKzpPfLOh+eZ5XpJUnhmbF1vKE0yWjddD9joR3laqgSL22FU0oWgTdj9isUREW/NpsD/OYbUH3m5ZSt7RZ2nDOZQf1ECruM8o9eFf4WuB1sbkvcMsxs5V4XT/fBt4PI2ktTfBrcibQDS4c2zifUJT2ukRE4LVLBd7Ae12aAj8J3DLNbCneazMf76pjOH9XIYyfG6Ez3oW1johULeryJBLnzKw/5/ukOrzBuiUJTjhuCfTHL4+Qbk/mLVzWM/D41VL6QYero3POgm5JzrnGzrlezrl7nHNvluGfXrjfTBYca1CvyFoBYfTZbxDmeUtS8INT3aD75X1ekVSeGEp8XfEGpZemKr22wa9HJH53oiH4tQn3OZflZx7u73LJjTi3DugN/B+hH3aT8GZa+hFeQrHdzMqT4Acrz2tSsG5pr0vEOOc+wntt0gn9HauJ17Xy53gzjX1txSweWVSzkYxRqiYlFCLxL/jqhAHBq90WtbrqG0H1a3L+akWZBLoP5V/eH0HogNKorT1RAbVLrwJAwZVhi5q/vywKfshoXCBJCuc2qEAbwR84y/u8Iqk8MVT0dYXQ13ZOOV5Xc85NKdCmX69t8OtRt9ha/gp+bcJ9zpH+mYfFObffOfcQ3lWKQXhXU98k9GpjG+AZM/t7BU5VntekYN2YvS4AzrktzrlJeFdXhgO/x5uFLTjB6ArMNrMfFdGESJkpoRCJY2aWTMX7xZdrtqeA/MShBjAhcH8XoQOK40XBcQjh1DtLBf/ZO+eOBdrJ17Ii7QUEd6toH+Yx4T7/8ihPDIcicN79Qfcj8bqCf69t8HPpWGwtf5Xntbkg6H4kfuZl4pw765z7yDn3e+fcjXjdfEbgfQuf78HAld7yCH5NaplZuN2XLgi6H/PXBcA5l+Gce9s590vn3BC8GeVGEzom4tHAOBGRClFCIRLfbsZbnAm8hYo+D/O2JKiNKyswE8oLhH5YBpgR5iDhWGtmZp1LrxYy0HdlGbpUleSLoPtXR6C94Jlu+hcx9WlRCk7vG0lXlF6lUAzLI3De4Ol3+5hZJK4UBL+2pT6vwBiZgjNFlcdnQfe7mlnbYmuGJxrdUIJfm6vCPCa4XiR+5hXinMsOTHH6Dc6vvAznB46Xtb3deDOt5Sv1dQkkHcF/c31/XcDrvumcexnvik5+gpuMN3lHZaSuWHFECYVIfAu+uvCmc+6KMG8DCP1nGs5sSoUEvn0vOM1jPHZ3ypdaepWQOh9G6LzB3czui8C8859wPpFrgbc+QLHMrAFwSwXPWZKrzazEb9XNrAehA5cXVPSkzrktwFeBh8l4g3ErKvhnPsbMShtAOobzU/iWm/PWifkqqKg8A8yDZQbdj9Qg2OArjzeWNu2ombXGuxpQ1PG+cs6dJXRa4hbF1Q1D8Htmchj1J3P+89UeoLT1c2LKOXcEb3aufBV5bfwUjd8BKSclFCJxysyaEfrPuqyLyAXXT63Ah9wH8Bbh6w/0DQyIjFc/KumDr5lN5vyCgg54NkLnfYrzi6n1pQyLoZlZ04LrhQQSueBZtP5kZrVKaOaPRLdfvgF/K+49FIg/uJ/6IudcpKbJ/GPQ/d+bWc9iaxaOq6huUjM5Pxi7HfAfJRzfBPhduOcLw/8G3f+xmQ2sQFvB03RGqsvKO3jTRYOXRP21uIqB98L/cf6D3GbgvQjFUSwzaxTmFTsI7ap2oNhapXsq6P4oMyv2G/3AeiP/L/jYCF0FLVXg/RquSL02forG74CUkxIKkfg1nvP/rE9S+oJQBc3i/CXh9oS3iFshgcGPSwO3FaUf4ZssvNlU3jWzQlN8mtndhH4weDbMdStK5Zw7DvwwqOjXZjbVzIrsh26eq83sCbwpSYtKFn7H+asUPYF5Bfs6m1mKmf0P3kq+FV58rQRZeF1GpphZyIw1ZtYI772WvyiaA/4zgueezvlvvusBi8zsO4HxRYWYWX0zm2BmC/A+8IYI/Kz+FFT0OzP7j4JJnZl1Ad7Fm7o2Uq/tFM5PdFADeMvM7i/qKomZJZvZSDObXUxbwVcgR0ciuEBXxp8FFY0zs2cC3b6CY6uHt3jb7UHFP41RV8hbgQ1m9rCZXVBUhcDvxQPAnUHFb5b3hM65Dwsc/7KZFXrNzawfXlLVMFC0k9BEO9oeNLOVZnZfMck0ZlbXzP7A+S9Wcillgck4tpXzXw50qMA4GYkArUMhEr+Cuzu9Gsb0pSGcczvMbCFwbVB7cdMlIQo+BY4Ao4ClgcWvvsL7pvVKoFNQ3a+AhyN5cufcFDPrhDfbDHjdzCYE5sX/Gm+2mLp4C9r1oZQpUZ1z6wMzsDweKBoMbAl8UN6Ot77CYLyBlll434r+d+SeUYhHge/jPadRZvYB3reaLfESieCxDY865xYVbqJ8nHO5ZnYX3of7S/EWzXoS76rNp8BuvA9FjfBWJL6I8//bilsr5VFgKN54FwMeA75vZh/h/ZwuBAbiLeL4Od637+Mj8FxyzGwM3u9hF7xZph4H/mBmi4G9gdg7AP0Cz7W4NQBewUskAe4PfJhdTuhUuP90paxwXkSML5rZtZzvkvUtvK5hH+L1u28OXE/oFbG/OudeLct5Kqgz3nv9v81sB97ChfnfsrfEGxvTOKj+DOdcuAv1FeduvG5CnfGe+4tmthHv/ZEFXAxcjvd+Am+GsnGBq42x1Bt4AnjczDbjJZ6H8BLYVnhjQIJ/do8553YWaqUSCPxteI3zv5sLzOwtvC9p8tcfOeKc+y8/4qtulFCIxKFAt47gVWvL2t0p+Lj8hOIOM/tehNaPiFeT8f5x3oyXRBQ1UPlz4LbAN9UR5Zz7lXmrKv8F75vtRLwPhv1KOOwLQheFCm7vicA35/+NlxglU3g8xXG8D/olLc5XUduAm/AWGmyF9y1xQbl4H05+EemTO+cOm9nVeF2GvoX3v6s+JQ8mPUMxq5w757LM7Ea8SQeGB4pbAWMLVP0E71vuR8sffaFz7zKzK4B/4SW/4H2jfVMxhxT5++qce9fMZnF+FrjLA7dgb+AlQ2WN8QEz2wf8gvOLPxY1RicT+J1zLmKvTxhO4V0Fy//g3p7iZ6TKw0s+f1DRkzrn9gfegzM5fzWuS+BW0CZgvHNuSRH7oil4xjrDS4wvLKZuFvAH51wku/T54ed4P4+WeAn67QX2bweUUMSAEgqR+BR8dWIv5b+y8DJet48UvG+R78TrdlElOW+l8FvwnuckoBfegMNjeN9izgDSo9k1I/AN7+t4H05vwOta0AzvW8EMvG/UvwIWAvOdcxtKae//zOxtvLEsw/GucJzF607xBvBk4GrUoKg8ofNxfGJmvYFv430QvgDvOe3Be38+4ZyL2mw2gSt095nZH4GJeB8iuuJdoUnAS6y2AKuA9/FWWC82yQrsG2Fmt+Mlov3xvtU+hPfzmQFMd6ErN0fquRwBbg900RiPN+tOW7yrLGfwpmZeCbyF9ztcnAl474FxeFe9muKtPROJGH9vZtPwErgb8Ka6bYj3u7QFb+G4fznnorlCe1FxvWxmrfAS66vxvpHvxPluRseBDXjTxqZHcsyXc24/cL2ZDccbrH8N3gfZGnhXSFYArxF430TqvGWI789m9gre1ber8LpKXoCXfOfh/ey+wvt9TQ9MFFCpOee2B/4uPYD3nuiKlwDr822MWYzGComIRFzgQ3T+DCwfFbFAnJSTmU3hfGJ7dxELxImIiAAalC0iIiIiIhWghEJERERERMpNCYWIiIiIiJSbEgoRERERESk3JRQiIiIiIlJuSihERERERKTcNG2siIiIiIiUm65QiIiIiIhIuSmhEBERERGRclNCISIiIiIi5aaEQkREREREyk0JhYiIiIiIlJsSChERERERKbckvwOQysXMUoCegYcHgVwfwxERERGRwhKBZoH7q51zZ6N5MiUUUlY9gSV+ByEiIiIiYekPLI3mCdTlSUREREREyk1XKKSsDubf+eKLL2jVqpWfsYiIiIgI8OWXX/Lee+8BcPLkSf71r3/l7zpY7EERooRCyurcmIlWrVrRtm1bP2MREREREeDw4cM0aNCgqF1RH++qLk9RZmY1zOx6M/tvM1tiZsfMLNvM9pnZHDO7qQJtf8PM5pvZITM7Y2Zfm9kfzKxuJJ+DiIiIiMS33r17M3LkSF/OrYQi+q4D3gMeBtoCi4BX8S4/jQTeMLOnzMzK0qiZ/RB4FxgOrAXmAg2AnwNLzaxpxJ6BiIiIiMS9vn37ctNNN3HllVfG9Lzq8hR9ecArwN+ccwuDd5jZGGAG8G1gMZAeToNmdinwZ7xLWCOdc28GymsDc4DrgSeBOyP0HERERESkErjsssto2bJlTM+pKxRR5pz7wDl3Z8FkIrDvBWBK4GFaGZr9T8CA5/KTiUB7p4F78JKYO8yse7kDFxEREZG445zj8OHDfocRQgmF/1YEtu3CqWxmyUD+uIuZBfc757bjXe0AGFXh6EREREQkLjjneOedd3jyySfZtm2b3+Gco4TCf10C271h1u8K1A7cL26RkvzyS8sblIiIiIjED+ccb775Jp999hk5OTnMnDmTHTt2+B0WoITCV2bWEpgcePhKmId1DGyPOedOFlNnZ4G6ZYmpbUk3ILad8kRERESqOeccb7zxBkuWLDlXlp2dzcyZMzlz5oyPkXk0KNsnZpYETMebmWk18FSYh9YLbDNKqHMqsK1fjtB2ll5FRERERGIhLy+PuXPnsnLlypByM+PGG2+kVq1a/gQWRAmFf57Em43pMHCncy7L53hEREREJI7k5eXx2muvsXr16pByM+OOO+6gR48ePkUWSgmFD8zsb3izMR0FhjrnNpTh8PxuTnVKqJO/sN2JcoRX2uDwlsCSUuqIiIiISAXk5uby6quvsm7dupDyhIQERo8eTffu8TOZpxKKGDOzPwMPAceAYc65FSUfUci2wLahmdUrZhxFuwJ1w+ac21XS/jKuvyciIiIiZZSTk8PLL7/M+vXrQ8oTExO566676Nq1q0+RFU2DsmPIzP4E/Ag4jpdMFDdLU0nWA6cD9y8rpk5++fJytC8iIiIiPsnJyeHFF18slEwkJSUxbty4uEsmQAlFzJjZY8BP8JKJoc65cnUbCoy1mBd4OL6I83QArgo8nF2ec4iIiIhI7GVnZzNr1iw2btwYUl6jRg3Gjx9P586dfYqsZEooYsDMfg/8B143p7CSCTN7wMy+NrP0InY/BjjgbjMbHnRMbeBZIBF4xTn3dSTiFxEREZHoysrKYubMmWzZsiWkPDk5mQkTJtCxY5lXA4gZjaGIMjO7Bfh/gYebgO8VMw7hkHPu4aDHTYFuwL6CFZ1zy83sx8D/AvPN7CPgADAQaIXXLeq7EXsSIiIiIhJVK1asKLT6dUpKChMnTqRt27b+BBUmJRTR1zjo/mUUP+5hO/BwMfsKcc79xcxWAz8GBuDN+rQDeBR4tIRF70REREQkzgwYMICDBw+ybNkyAGrWrElqaiqtW7f2ObLSmXPO7xikEgmslr0TYOfOnXGfMYuIiIhUFs455syZw4YNG0hNTaVly5blamfXrl20a3duJYB2pc3iWVG6QiEiIiIiEgfMjJEjR3LixAkaNmzodzhh06BsEREREZE4kZCQUKmSCVBCISIiIiISMydOnGD69OkcO3bM71AiRgmFiIiIiEgMHD9+nClTprB582bS09M5ceKE3yFFhBIKEREREZEoO3r0KFOmTOHo0aPnHqenp3PyZOWfmFODskVEREREoujIkSNMnTq1yCsSVWHGVSUUIiIiIiJRcujQIaZOncqpU6dCyps1a0ZaWhp169b1KbLIUUIhIiIiIhIFBw4cID09nYyMjJDyFi1akJqaSp06dXyKLLKUUIiIiIiIRNi+fftIT0/nzJkzIeWtWrUiNTWVWrVq+RRZ5CmhEBERERGJoD179jBt2jQyMzNDytu0acPEiROpWbOmT5FFhxIKEREREZEI2blzJzNmzODs2bMh5e3bt2f8+PGkpKT4FFn0KKEQEREREYmA7du3M3PmTLKyskLKL7jgAsaNG0dycrJPkUWXEgoRERERkQravXs3M2bMIDs7O6S8U6dOjB07lho1avgUWfRpYTsRERERkQpq1qwZLVu2DCnr0qUL48aNq9LJBCihEBERERGpsOTkZMaPH0+bNm0A6NatG3fddRdJSVW/Q1DVf4YiIiIiIjFQs2ZNJkyYwKeffsp1111HYmKi3yHFhBIKEREREZEIqVWrFkOGDPE7jJhSlycRERERkTLYtGlTocHX1ZkSChERERGRMK1YsYIZM2bwwgsvkJOT43c4cUEJhYiIiIhIGJYuXcqcOXMA2Lx5My+++CK5ubk+R+U/JRQiIiIiIqX4/PPPmTdvXkjZxo0bWbNmjU8RxQ8NyhYRERERKcEnn3zCu+++W6j8mmuuoVevXj5EFF+UUIiIiIiIFOPjjz/mww8/LFQ+aNAgrr32WszMh6jiixIKEREREZECnHMsWLCAjz/+uNC+66+/nmuuucaHqOKTEgoRERERkSDOOd5//30WL15caN+wYcO48sorfYgqfimhEBEREREJcM7x9ttv8/nnnxfaN2LECAYMGOBDVPFNCYWIiIiICF4yMX/+fJYuXVpo380330y/fv18iCr+KaEQERERkWrPOcfcuXNZsWJFoX233norffr0iX1QlYQSChERERGp9k6dOsWmTZtCysyMUaNG0bNnT5+iqhy0sJ2IiIiIVHv16tUjLS2NOnXqAJCQkMAdd9yhZCIMSihERERERICmTZuSlpZGvXr1GD16ND169PA7pEpBXZ5ERERERAKaN2/Ogw8+SI0aNfwOpdLQFQoRERERqVZyc3NxzhW7X8lE2SihEBEREZFqIzs7m5kzZ/Lee++VmFRI+NTlSURERESqhaysLGbNmsW2bdvYsmULSUlJDB482O+wKj1doRARERGRKu/s2bNMnz6dbdu2nSv7+OOPWbx4sX9BVRG6QiEiIiIiVdqZM2eYMWMGu3fvDimvWbMmHTt29CmqqkMJhYiIiIhUWadPn2b69Ons3bs3pLx27dqkpqbSsmVLnyKrOpRQiIiIiEiVlJGRwbRp09i/f39IeZ06dUhLS6N58+Y+RVa1KKEQERERkSrn5MmTTJs2jYMHD4aU56+I3bRpU58iq3qUUIiIiIhIlXLixAnS09M5fPhwSHn9+vWZNGkSjRs39imyqkkJhYiIiIhUGceOHSM9PZ2jR4+GlDds2JBJkybRsGFDfwKrwpRQiIiIiEiVcPToUaZOncrx48dDyhs3bkxaWhoNGjTwKbKqTQmFiIiIiFR6ubm5TJs2rVAy0bRpU9LS0qhXr55PkVV9WthORERERCq9xMREbrjhBhISzn+8bd68OZMmTVIyEWVKKERERESkSujWrRt33nknZkbLli2ZNGkSdevW9TusKk9dnkRERESkyrjooosYN24cbdu2pVatWn6HUy0ooRARERGRKqVLly5+h1CtqMuTiIiIiFQqO3fuZN26dX6HIQG6QiEiIiIilcb27duZMWMGubm5JCQk0L17d79DqvZ0hUJEREREKoUtW7Ywffp0srOzycvL46WXXmLjxo1+h1XtKaEQERERkbi3adMmZs2aRU5OzrmyvLw8VqxY4WNUAuryJCIiIiJxbv369bz00kvk5uaGlHfv3p077rjDp6gknxIKEREREYlb69at45VXXiEvLy+kvEePHowaNYrExESfIpN8SihEREREJC6tWbOGV199FedcSHmvXr249dZbQ1bFFv8ooRARERGRuLNq1Spef/31QslEnz59GDlypJKJOKKEQkRERETiyvLly5k7d26h8n79+nHTTTdhZj5EJcVRQiEiIiIicWPJkiXMnz+/UPmAAQMYPny4kok4pIRCREREROLCZ599xttvv12o/Morr2To0KFKJuKUEgoRERERiQuZmZmFygYOHMjgwYOVTMQxjWaJATPrZmYPmtkUM1ttZjlm5szsF+Vs7zeB40u6aR16ERERqVSuu+46rrnmmnOPBw0axJAhQ5RMxDldoYiN+4DvR6HdVcDKYvYdj8L5RERERKLGzBgyZAi5ubnUrl07JLmQ+KWEIjbWAP8DrACWAz8HUiPQ7mvOud9EoB0RERGRuGBmGi9RySihiAHn3L+CH5tZXnF1RURERKo65xwnT56kfv36Re5XMlG5aAyFiIiIiMSMc4558+bx1FNPcfDgQb/DkQiI2RUKM/tVLM7jnPtdLM4TJ/qa2WNAY7wxEyuAuc65k/6GJSIiIlJYXl4ec+fOZeXKlQCkp6czefJkmjRp4m9gUiGx7PL0G8CVVikCqlNCMTJwC3bczB5yzqWXp0Eza1tKlZblaVdERESqt7y8PF5//XW+/PLLc2WnTp1i2rRpPPDAAyQlqSd+ZeXHTy6aneJikbDEg814A7vfBLYHyi4GfgbcDEw1s1zn3IxytL0zMiGKiIiIeHJzc5k9ezZr164NKU9ISGDYsGFKJio5P356lzjn1kWyQTO7BPiy1IpVhHNuWhHFi4GRZvZ34EHgL2b2knMuK7bRiYiIiJyXm5vLyy+/zNdffx1SnpiYyOjRo+nWrZtPkUmkVJV0sLpcmQjHb4D7gWbA5cDCMh7frpT9LYElZQ9LREREqpucnBxeeuklNmzYEFKemJjI2LFjufDCC32KTCKpqiQUEuCcO2JmB4BWQGnjIYo6fldJ+zWNm4iIiIQjOzubF154gc2bN4eUJyUlMW7cODp16uRTZBJpsUwoBge2W6PQ9tag9qs1M0sEGgQearYnERERibmsrCyef/55tm4N/dhXo0YNxo8fzwUXXOBPYBIVMUsonHMfRbHt00DU2q9kbgFq43UDW+pzLCIiIlLNnD17lpkzZ7Jjx46Q8pSUFCZMmEC7dqX1rpbKRgvbxSkze8DMvjaz9ALl7c1sopnVLOKY24D8VblnOOf2xSBUEREREQAyMzOZPn16oWSiZs2apKamKpmoojSGIgbMrC/wRFBR58D2O2Z2c1D5KOfc3sD9pkA3oGBS0BiYBvzTzFYAu4FaeNPGdgnU+RC4L3LPQERERKR0ixYtYteu0OGYtWrVIjU1lVatWvkUlURbpU4ozCzBOZfndxxhqI8341JBbQkdOJ0SRls7gT8C/YELgb5AMnAIeAOYCbxQSV4XERERqUIGDRrEgQMH2LhxIwC1a9cmLS2NFi1a+ByZRJM5VzlmXDWzFkAvoGfQtrtzro6vgVUzgZW0dwLs3LmTtm3LPJGUiIiIVGE5OTnMmjWLAwcOkJaWRrNmzfwOqdrZtWtXcPeydqXN4llRUb1CYWaXA1cCp4G3nXPbSzmEwNiASwhNHHridQEKqYrWnxARERGJK0lJSYwdO5ZTp07RqFEjv8ORGIhKQmFmScB0YDTeB3+AHDP7kXPuH0H1OhOaNPQCOlF4sHhRix/kAlsiHLqIiIiIVFCNGjWUTFQj0bpC8TvgLmAv8CBwHPgf4C+BqxZdgB5405sGK27VNAe8A7wHbAjcNjvnciIfuoiIiIiU5NixY7zzzjvccsst1KxZaOJJqWailVBMwksCfuScexXAzCYCq4HxFJ04ZAJfA2uAtYHbOmBTYP9zzrkXoxSviIiIiIThyJEjTJ06lRMnTnDixAlSU1NJSQlnXhmpqqKVUORf4woeMxF8/xQwFy9hyE8gthQ1M5FZcRctRERERCSWDh06RHp6OidPngRg9+7dzJw5kwkTJpCcnOxzdOKXaC1s93lg++2gsu8EtgbUwRtkPdc597pzbpOmORURERGJXwcOHGDKlCnnkol8mZmZZGdn+xSVxINoJRQP483sNCmw2vNS4E/AVuBtvKTiG8ByM5sSmIpUREREROLQvn37mDp1KhkZGSHlLVu2ZNKkSdSpo1n8q7OoJBTOuWV408XOxev+1Bx4DrjaOTcCGI7X1SkBSAXWm9mjZlY/GvGIiIiISPns2bOHqVOncvr06ZDy1q1bk5aWRu3aBefYkeomWlcocM6tcc7d5pxr4Zxr75z7lnNuX2DfO0Af4B5gD1AL+Cmw2cy+H5h2VkRERER8tGvXLtLT08nMzAwpb9euHampqdSqVcunyCSeRC2hKI3zPIc3hewv8QZqNwH+F++KxRi/YhMRERGp7nbs2MG0adM4e/ZsSHmHDh2YMGGCpouVc3xLKPI55zKdc38ALgSexFuwriMw08y+8DU4ERERkWpo27ZtTJ8+naysrJDyjh07Mn78eE0TKyF8TyjyOecOOufuBy4B5uAN3O4XVKWhH3GJiIiIVCebN29mxowZhWZuuvDCCxk3bpymh5VC4iahyOec2+Ccuw0YBCwL2vWEmb1kZpf4EpiIiIhIFbdlyxZmzZpFTk5OSHnXrl0ZM2YMNWrU8CkyiWdxl1Dkc8597JwbgLey9ja8WG8HVprZ82Z2kZ/xiYiIiFQ1zZo1o0GDBiFlF110EXfddRdJSZozR4oWtwlFPufc88BFwE+AY3gxjwa+NLMZPoYmIiIiUqXUq1ePtLQ0GjZsCMAll1zCnXfeSWJior+BSVyL+4QCwDmX5Zz7M9AZ+CuQDSQCY/2MS0RERKSqadCgAZMmTeLKK69k1KhRJCRUio+L4qNK9Q5xzh1zzv0I6A68CDifQxIRERGpcho2bMiwYcOUTEhYKuW7xDm3zTk3Fm81bhEREREpo61bt5KXl+d3GFIFxCyhMLP2gVvEOuE555YE2k7Mbz9SbYuIiIhUVV988QXp6em88cYbOKcOH1IxsbxCsQ3YAnSLQtvdg9oXERERkWJ8+umnvPnmmwCsWLGC+fPnK6mQCol1lyer5O2LiIiIVFqLFi3inXfeCSlbunQpmzZt8ikiqQr8mFBYKbCIiIhIDDnn+Pjjj1mwYEGhfYMHD6ZLly6xD0qqDD8SinfMLLv0amWiZRtFREREiuCc44MPPmDRokWF9g0dOpSrrrrKh6ikKol1QmFAmxifU0RERKRacs7x7rvv8umnnxbaN3z4cC6//HIfopKqJpYJxdQYnktERESkWnPO8dZbb/HFF18U2nfTTTdx2WWX+RCVVEUxSyicc3fH6lwiIiIi1Zlzjnnz5rFs2bJC+2655RYuvfRSH6KSqsqPMRQiIiIiEiV5eXnMnTuXlStXhpSbGbfddhu9evXyJzCpspRQiIiIiFQReXl5vPbaa6xevTqk3My4/fbbueSSS3yKTKoyJRQiIiIiVcThw4dZv359SFlCQgJ33nknF110kU9RSVUX64XtRERERCRKmjVrxvjx46lRw5tRPzExkTFjxiiZkKhSQiEiIiJShXTo0IFx48ZRs2ZNxo4dS9euXf0OSao4dXkSERERqWI6duzID37wA1JSUvwORaoBXaEQERERqYTy8vJK3K9kQmJFCYWIiIhIJXP27FnS09NZunSp36GIqMuTiIiISGWSmZnJjBkz2LVrF9u3bycxMVEL1YmvdIVCREREpJI4c+YM6enp7Nq161zZnDlzWLNmjY9RSXXn+xUKM7s2cHeJc+5MmMfUBAYAOOc+jlZsIiIiIvHi9OnTpKens3///pDyOnXq0KxZM5+iEomDhAJYAOQBvYB1YR7TJui4eHgOIiIiIlFz6tQp0tPTOXjwYEh53bp1SUtLU0IhvoqXD+MW4+NEREREKoWTJ0+Snp7OoUOHQsrr169PWloaTZo08SkyEU+8JBRllT/2I9fXKERERESi6Pjx46Snp3PkyJGQ8gYNGjBp0iQaNWrkU2Qi51XWhKJDYHvc1yhEREREouTYsWNMnTqVY8eOhZQ3atSItLQ0GjZs6EtcIgXFPKEws/bF7GplZqdKOTwF6Aw8AjhgbSRjExEREYkHR44cYerUqZw4cSKkvEmTJqSlpVG/fn2fIhMpzI8rFFuLKDPgnXK0lV7BWERERETiyqFDh0hPT+fkyZMh5c2aNSMtLY26dev6FJlI0fxIKIobSF2WAdaZwN+dc/+OQDwiIiIiceHs2bNMnTqVU6dCO220aNGC1NRU6tSp41NkIsXzI6G4u8Dj5/C6L/0S2F3CcQ4vkdgLrHDOldY9SkRERKRSSUlJYeDAgbz55pvnylq1asXEiROpXbu2j5GJFC/mCYVzbmrwYzN7LnD3NedcuOtQiIiIiFRJAwYMIDc3l3feeYc2bdowceJEatas6XdYIsWKWUJhZrcE7r7vnMsI2jU4sC1qbIWIiIhItXPllVdSp04dunXrRkpKit/hiJQollcoXqPoFbEnBbYbgDMxjEdEREQkbvXq1cvvEETCklB6lYgqauD1ZLykQiuziIiISLWxdetWduzY4XcYIhUWy4TibGCruc5ERESkWtu8eTMzZ85kxowZ7N5d0pw0IvEvlglF/m/LwBieU0RERCSubNiwgVmzZpGTk0NWVhbTpk1j7969foclUm6xHEPxPnAv8F9mNgBvzER20P77zexAWRt1zv0uQvGJiIiIRNVXX33Fyy+/TF5e3rmys2fPsmTJEm655ZYSjhSJX7FMKH4P3A40Ae4ssM+A+8rZrhIKERERiXtr167llVdewTkXUn7JJZdw8803+xSVSMXFrMuTc24n0Bf4F7AN7+qE4S1YR+B+eW4iIiIice3LL78sMpno3bs3o0aNIiEh1vPkiEROTBe2CyQV3w4uM7M8vKSipxa2ExERkapmxYoVzJkzp1B53759ufnmmzHT96NSucV8pWwRERGR6mLp0qXMmzevUHn//v0ZMWKEkgmpEuIhobg7sN3laxQiIiIiEfT555/z1ltvFSq/4oorGDZsmJIJqTJ8Tyicc1P9jkFEREQkkj755BPefffdQuVXX301119/vZIJqVJillCYWfv8+865HUWVl0dwWyIiIiJ+W7hwIR988EGh8uuuu47rrrtOyYRUObG8QrE1sHUFzruN8zM9lVXBtkRERER845zjyJEjhcqHDBnCwIFa21eqpljOUVbSVK/lnTK2UqT4ZtbNzB40sylmttrMcszMmdkvKtjuN8xsvpkdMrMzZva1mf3BzOpGKnYREREJn5kxcuRIevbsea5s6NChSiakSovlt/t3l7G8KrkP+H4kGzSzHwL/i3eVZiGwHxgI/By4w8yucc4diuQ5RUREpHQJCQncdttt5Obm0r59ey6//HK/QxKJqpglFMUNvq4mg7LXAP8DrACW433oTy1vY2Z2KfBnIBcY6Zx7M1BeG5gDXA88SeEVyUVERCQGEhISuPPOOzVeQqoFjT+IAefcv4IfBxbzq4j/xOvu9Vx+MhE4z2kzuwfYgneVortz7usKnktERESK4JzjzJkz1K5du8j9SiakutA675WMmSUDNwUeziy43zm3HVgceDgqVnGJiIhUJ3l5ecyZM4d///vfnDp1yu9wRHylhKLy6QrkfxWytJg6+eWXRj8cERGR6iUvL4/XXnuNlStXcvjwYdLT08nIyPA7LBHfxF2XJzOrB3QE6gGJpdV3zn0c9aDiS8fA9phz7mQxdXYWqBs2M2tbSpWWZW1TRESkqsjNzeXVV19l3bp158oOHjzIzJkz+da3vqVuTlItxU1CYWb3AvcDPQl/OtjquA5FvcC2pK9C8q+91i9H+ztLryIiIlL95OTk8PLLL7N+/fqQ8sTERC1YJ9Wa7x/GzSwReAUYmV/kYzgiIiIiheTk5PDiiy+ycePGkPKkpCTGjh1L586dfYpMxH++JxTAd4FbAvf3A88By4AjQEVnQ6qK8rs51SmhTv7CdifK0X67Uva3BJaUo10REZFKKTs7m+eff54tW7aElNeoUYNx48bRsWOZexiLVCnxkFCkBbbrgIHOuaN+BlMJbAtsG5pZvWLGUbQrUDdszrldJe3X5VwREalOsrKymDVrFtu2bQspT05OZvz48XTo0MGfwETiSDzM8nQR3liIR5RMhGU9cDpw/7Ji6uSXL49+OCIiIlXT2bNnmT59eqFkIiUlhdTUVCUTIgHxkFDkW196FXHOZQHzAg/HF9xvZh2AqwIPZ8cqLhERkaokMzOTadOmsXNn6FwlNWvWJC0tjbZtS5sUUaT6iIeEIn90U2Nfo4gzZvaAmX1tZulF7H4M76rO3WY2POiY2sCzeNPtvqJVskVERMruzJkzpKens3v37pDy2rVrM2nSJFq3bu1TZCLxKR7GUDyPtwDbzcAHPscSFWbWF3giqCh/KojvmNnNQeWjnHN7A/ebAt2AfQXbc84tN7MfA/8LzDezj4ADwECgFd7Vnu9G9lmIiIhUD++88w579+4NKatTpw5paWk0b97cp6hE4lc8JBR/x+u6c5+ZzXbOLfQ7oCioD1xeRHnbwC1fSrgNOuf+YmargR8DA/BmfdoBPAo8WsKidyIiIlKCYcOGsW/fPvbt877Tq1u3LpMmTaJp06Y+RyYSn8w553cMmFlz4FW8wcR/B2YCXzvnMn0NTAoJrKS9E2Dnzp3qQyoiIlXS6dOnmTp1KpmZmUyaNInGjdUzWyqPXbt20a7duZUA2pU2i2dFxSyhMLPccKrhjQ0Il3POxcNVlmpDCYWIiFQXGRkZZGVl0ahRI79DESmTWCcUsfwwHu4CBlroQERERHxXp04d6tQpaR1ZEYHYJhS/jeG5REREREp0+PBhPvnkE2688UYSExP9Dkek0opZQuGcU0IhIiIiceHgwYOkp6dz6tQpTp8+zZ133qmkQqScNP5AREREqpUDBw6Qnp5ORkYGAF9//TWzZ8/m9ttvJyGh4kt0ZWRk8Nprr/Hpp5/y5ZdfcvLkSWrWrEn37t3p378/d9xxBy1atKjweUTiRVzM8hQOM0sBGgIHnXN5PodTbWlQtoiIVGZ79+5l2rRpnDlzJqS8VatWpKWlUbNmzXK3nZGRwSOPPMKTTz7J8ePHi61Xo0YN7rrrLv74xz/Spk2bcp9PpDhVeVB2kcysLnBt4OHHzrlTBfY3BZ7CW/guCThlZv8Cfu6cOxvTYEVERKTS2r17N9OnTyczM3RW+jZt2jBx4sQKJRNLlixh3LhxbN68GYBGjRrRvXt3WrVqRa1atcjKymL//v1s3ryZ3bt3M2PGDN544w2efPJJxo4dW6HnJeI33xMK4A7gOWAXcEHwDjNLAN4E+nJ+9qd6wA8Cde+IUYwiIiJSie3cuZMZM2Zw9mzod5Ht27dn/PjxpKSEvbZsIQsXLmTEiBFkZGRQv359RowYQbdu3Qp1n+rRowdDhgxh9+7dzJs3jz179jBu3DiOHj3KfffdV+7zi/it4h0FK+6GwHZ2EV2ZxgD9AveXA38JbA24zcyGxyZEERERqay2b9/O9OnTCyUTF1xwARMmTKhQMrFr1y5uueUWMjIy6NSpE/fffz8XXXRRiWMx2rRpwz333MMVV1wBwP333897771X7hhE/BYPCcUleIvZfVLEvrTAdhlwhXPux8CVwBeB8knRD09EREQqqy1btjBjxgyysrJCyjt16sT48eNJTk4ud9vOOb797W9z7NgxWrduzbhx48LuNpWYmMgNN9zApZdeCsA999zDyZMnyx2LiJ/iIaFoHthuDS40sxp4Yysc8LhzLgfAOZcNPIl3lWJADOMUERGRSmTTpk3MmjWL7OzskPIuXbowbtw4atSoUaH2Fy9ezJtvvkliYiKjRo0qc3tmxvDhw2nYsCE7duzg6aefrlA8In6Jh4SicWCbVaC8P1ArcP+tAvs2BLYtoxWUiIiIVF4bNmzg+eefJycnJ6S8W7du3HXXXSQlVXwY6T//+U8AevXqRbNmzcrVRkpKCgMHDgTgySefpLLMvikSLB4SitOBbfMC5fkzP21yzu0vsO8MIiIiIkVYv349L7zwArm5uSHlF198MaNHj45IMuGc48033wQ4122pvHr27ElSUhKbNm1i06ZNFY5NJNbiIaHYHNgOKlA+Cq+708dFHJP/NcCBKMUkIiIilVSjRo0KDbTu2bMnd9xxR8RWw966dStHjx4lMTGR1q1bV6it5OTkcwvdLVu2LBLhicRUPCQU7+KNh7jfzEaYWV0zexCvyxPA3CKO6RXY7olFgCIiIlJ5NG/ePGSRuj59+nDbbbdFZBXsfLt37wagQYMGEbni0aRJE8CbNUqksomHdSj+BnwXb32JNwrs+4qiE4qb8K5erIhuaCIiIlIZtWzZktTUVFavXs2wYcMws9IPKoP8sQ6Raje/HY2hkMrI94TCObfXzEYCzwOtgnZtAe50BX6zzKwzMDDwUJM2i4iISJFat25d4e5IxWnZ0psX5vjx4+Tm5la4K9XRo0dD2hWpTHxPKACccwvNrCNwNd7MTXuBRflTxRbQCngkcP+dGIUoIiIicWjXrl20bds25ue98MILqVevHidPnmT//v0VSlxycnLYu3cvAP369Sultkj8iYcxFAA457Kccx8652Y55xYUk0zgnFvknPtt4Ha6qDoiIiJS9X3yySc8++yzLFy4MObnTkhI4Prrrwdg5cqVFWpr3bp1ZGdn06ZNG7p16xaB6ERiK24SChEREZFwffzxx7z77rsAfPDBB3zyyScxj+G+++4DvITi2LFj5WojJyfnXEL0ne98J2KzUInEkhIKERERqTScc3z44Yd8+OGHIeXvvvsue/bEdvLHb3zjG1x11VVkZWXx+uuvF1r3IhwffvghBw8epFmzZucSFJHKRgmFiIiIVArOOd5//30+/rjwElXDhg2L2gDs4iQkJPDcc89Rs2ZNtm7dyuzZswutzF0c5xyLFy9m8eLFADzxxBM0bdo0muGKRI0SChEREYl7zjnefvvtcx/Ag40YMYIrr7zSh6iga9euPP/88yQlJbFmzRqefvrpUteSOHbsGDNnzjzXZetXv/oVd955ZyzCFYkK03zHUhZm1hbYCbBz505fZtYQEZHqxTnH/PnzWbp0aaF9N998c1zMjPTWW2+RmprKoUOHAGjXrh3du3enVatW1K5dm6ysLPbv38/mzZtZv349zjmSk5P54x//yA9+8AN/g5cqZ9euXbRr1y7/YTvnXFRXTIyLaWNFREREiuKcY+7cuaxYUXgt21tvvZU+ffrEPqgiDB8+nHXr1vHwww8zc+ZMdu7cyc6dO4utP2TIEP7+97/To0ePGEYpEh26QiFloisUIiISK3l5ecyZM4dVq1aFlJsZo0aNomfPnj5FVrK9e/cyffp0PvvsM7788ktOnjxJzZo16d69O/3792fs2LFKJCSqdIVCREREqr28vDxmz57NmjVrQsoTEhK4/fbb4/oDeatWrfjJT37idxgiMaOEQkREROJKbm4ur7zyCl999VVIeUJCAqNHj6Z79+4+RSYiRVFCISIiInFl9+7dfP311yFliYmJjBkzhi5duvgUlYgUJ+6mjTWzzmY20cweNrNfmZkmZRYREalG2rdvz6hRozAzAJKSkhg3bpySCZE4FTdXKMysL/BX4OoCu14GDgXV+x7wa+A4cLFzLjtWMYqIiEhs9OzZk9zcXN58803GjRvHBRdc4HdIIlKMuEgozOxm4CUgGbCgXUVNQZUOPAY0AW4GZkc9QBEREYm5Pn360KVLF+rUqeN3KCJSAt+7PJlZK2AWkAKsA0YA9Yqr75w7CcwJPBwR9QBFREQkakqbvl7JhEj88z2hAH4I1AG2AwOdc2875zJKOWYB3pUM/5fGFBERkXI5c+YMU6ZMYePGjX6HIiIVEA8JxXC8rk1/ds4dC/OY/KkfOkYlIhEREYmq06dPk56ezo4dO3jhhRfYsmWL3yGJSDnFQ0LRIbD9ogzHnAhs60Y4FhEREYmyjIwMpk6dyr59+wBv3YlZs2axfft2nyMTkfKIh0HZ+TGUJblpENieinAsIiIiEkUnT54kPT2dQ4cOhZTXqlVL4yVEKql4uEKxL7DtVIZjBgS2OyIci4iIiETJiRMnmDJlSqFkon79+kyePJmmTbX0lEhlFA8JxUK8Adajw6lsZsnAd/DGXSyIXlgiIiISKceOHWPKlCkcOXIkpLxhw4bcfffdNG7c2KfIRKSi4iGhmBLY3mJmQ0uqGEgm0oHOeAnFM9ENTURERCrq6NGjTJkyhaNHj4aUN27cmMmTJ9OwYUN/AhORiPB9DIVzboGZvQCMAeaa2d+AV4KqXGBmDfFW0P42XtcoBzzpnFsb63hFREQkfIcPH2bq1KmcPHkypLxp06akpaVRr16xS0+JSCXhe0IRMBlvMbsbgYcDt/yVbuYG1ctfRftV4PuxCk5ERETK7uDBg6Snp3PqVOgcKs2bNyc1NZW6dTVZo0hVEA9dnnDOnXXO3Yw3NmILXuJQ1G0XcL9z7k7nXK5f8YqIiEjJ9u/fz5QpUwolEy1btmTSpElKJkSqkHi5QgGAc+4Z4Bkzuxi4DGgOJAKHgRXAcuecK6EJERER8dmJEyeYOnUqZ86cCSlv3bo1EydOpFatWj5FJiLREFcJRT7n3Dpgnd9xiIiISNnVq1eP3r1789lnn50ra9u2LRMmTKBmzZo+RiYi0eB7QmFmaYG7651zn/sajIiIiFSYmTFs2DByc3NZsmQJ7du3Z/z48aSkpPgdmohEge8JBd60sQ4YByihEBERqQLMjBEjRtC4cWP69u1LcnKy3yGJSJTEQ0JxHKgPbPQ7EBEREYkcM+OKK67wOwwRibJ4mOVpa2DbyNcoREREpMw2b97M4cOH/Q5DRHwUDwnFbLwpYUf6HYiIiIiEb/369cyaNYv09PRCq2CLSPURDwnF34DtwH1mdr3fwYiIiEjp1q1bx4svvkhubu65aWKPHz/ud1gi4gPfEwrn3AlgKPA18JaZPW1mg8yssZlZKYeLiIhIjK1Zs4aXX36ZvLy8c2XHjx9nyZIlPkYlIn7xfVC2mQWveG3APYFb/v6SDnfOOd+fg4iIVG7OObZu3cqyZcvYsmULOTk5NG3alEsvvZTevXtrutMgq1at4vXXX6fgOrN9+vRhyJAhPkUlIn6Khw/jBTMGXZUQEZGYOHv2LM899xxPPPEEq1evLrJOgwYNmDRpEj/4wQ/o2LFjjCOML8uXL2fu3LmFyi+77DJuvPHG0r4EFJEqygp+wxDzAMx+XZHjnXO/jVQsUjozawvsBNi5cydt27b1OSIRkfJZtmwZkydPZs2aNQAkJibSokULmjVrRkJCAidPnmTPnj2cPn0agFq1avFf//VfPPTQQyQk+N5jOOaWLFnC/PnzC5Vffvnl3HDDDUomROLIrl27aNeuXf7Dds65XdE8n+9XKJQQiIhIrL3++uvcddddZGVlUadOHa655hr69OlDrVq1Qurl5eWxZcsWFi1axLZt2/jhD3/IkiVLmDp1KklJvv8LjZnPPvuMt99+u1D5VVddxTe+8Q0lEyLVXPX5aygiIgJ8/PHHjB49muzsbLp27cqtt95KnTp1iqybkJDAhRdeSOfOnVmyZAlvvfUWM2fOpH79+vzzn/+MceT+WLx4Me+9916h8oEDBzJ48GAlEyLi/yxPIiIisXLq1CkmTZpEdnY2F198MWPGjCk2mQhmZgwYMIDRo0djZjz55JPMmzcvBhH766OPPioymRg0aBBDhgxRMiEiQBxcoTCz9hU53jm3I1KxiIhI1fanP/2Jbdu20aBBA2699VYSExPLdPxFF13EFVdcwaeffsoDDzzA8OHDy9xGZeCc48MPP2ThwoWF9l1//fVcc801PkQlIvHK94QC2FqBYx3x8RxERCTOZWVl8dRTTwEwbNiwck8FO3jwYFauXMm2bduYN28et9xySyTDjAt5eXns2lV4DOewYcO48sorfYhIROJZPHR5sgreKg0zG21mC8zsqJllmNkqM/upmdUoYzuTzcyVchserechIlIZffjhhxw4cIC6devSvXv3creTnJzMpZdeCsDMmTMjFV5cSUxMZOzYsbRvf74TwY033qhkQkSKFA/f7t8dRp06QFfgDqANsBj4VzSDijQz+yvwfSAH+AA4BQwB/giMNLNhzrkzZWx2M7ComH27yxmqiEiVlL+Kc8eOHSvcTalz58588sknLF26NBKhxaXk5GTGjx/PjBkz6NOnD3379vU7JBGJU74nFM65qeHWNbOfAH8B7gMWO+d+FrXAIsjMbsNLJk4B1znnlgfKm+IlF9cAjwAPl7HpRc65yZGLVESk6vr6668BaNGiRYXbym9j8+bNZGVlkZycXOE241FKSgqTJ0+ulutuiEj4KtVfCOdctnPuAWAB8BMzu8HnkML188D2sfxkAsA5dwi4P/DwATNrEPPIRESqibNnzwJQo0aZepkWKTiByM7OrnB7fsrLyyMrK6vY/UomRKQ0lfWvxFN44yce9DuQ0phZG6B/4GGhzrbOuUV4K0+nADfGMDQRkWqlXr16AJw5U9bepYVlZGQAkJSURM2aNSvcnl9yc3OZPXs2M2bMKDGpEBEpSWVNKDYGtpf5GkV4Lg1sjzjnipvRammBuuG60Mx+b2ZPm9n/mtk3A92oRESkgN69ewOwd+/eCreV38Yll1xSaaeNzc3N5ZVXXmHNmjXs2LGD559/vtJfbRERf/g+hqKcGhTYxrOOgW1J62XsLFA3XFcHbsEyzew3zrk/lrEtAMysbSlVWpanXRERv+XPULRlyxYyMzMrdGXhq6++CmmzssnJyeGll15iw4YN58q2bt3KK6+8wtixY32MTEQqo8p6hWJSYFvxr5mir15gm1FCnVOBbf0w29wH/AG4HGgWOK4/kI7XdeoxM/t58YeXaGcptyXlbFdExFf9+/enR48eZGdns2zZsnK3c/z4cdatWwfAN7/5zUiFFzPZ2dm88MILIckEeN23BgwY4FNUIlKZVaqEwsy6mNmTeAmFA+b7HJIvnHNvOed+4Zz7wjl3yDl30jm31Dk3ifMzRf3KzCo+lYmISBVhZvzoRz8CYMGCBRw5cqTMbTjnmDt3Lrm5uQwcOJDLLqsMPW/Py8rKYtasWWzatCmkvEaNGkyYMIFOnTr5FJmIVGa+JxRmtiWM2zYzOwZ8DdwbOPQA3rf08e5kYFunhDp1A9sTETjf34BDeFcqhpXj+Hal3PoXf6iISHybPHkygwYNIjs7m1mzZnHq1KnSDwpwzvHuu++yadMmUlJSePrpp6MYaeSdPXuWmTNnsnVr6HC+5ORkJk6cyAUXXOBPYCJS6cXDGIoLynHMp8A3nXOVocvTtsC2XQl18vdtK6FOWJxzuWa2EWgKlDYeoqjjd5W036xSLU4uIhIiISGBqVOncuWVV7Jnzx7+9a9/cdttt5X6YTojI4P58+ezdu1aAB5//PEKrbYda5mZmcyYMYNdu0L/xKekpJCamkqbNm18ikxEqoJ4SCjCWdguD++b/q3AR865lVGNKLJWBLZNzKxjMTM95V8zX17EvvJoEtieLLGWiEg11L59exYsWMANN9zA1q1bmTJlCt27d6dfv360a9fu3GDtvLw8Dh48yOrVq1m2bBlnzpwhMTGRf/zjH9xzzz0+P4vwnTlzhunTp7Nnz56Q8lq1apGamkqrVq18ikxEqgpzzvkdQ5VnZl/gdRX6hXPuDwX2XQMsBM4CLZxzxyt4rr5A/mjDy51zX1SkvSLab0tgVqqdO3fStm2ZL4KIiMSFEydO8PDDD/PMM8+cKzMz6tWrR2JiIqdOnQqZRrVHjx5MmTKlUo2bOH36NNOmTWPfvn0h5bVr1yYtLS0iq4aLSPzZtWsX7dqd6xzTrrQeKBXl+xiKauK/AtufBT7wA2BmTYAnAg//EZxMmNkoM/vazN4PbsjMapvZ98ysHgWY2bXAK4GHiyKdTIiIVCX169fn6aefZt26dTzwwAO0bdsW5xwnTpzg6NGjZGdnU6dOHYYPH87s2bNZuXJlpUomMjIymDp1aqFkom7dukyePFnJhIhEjO9XKAIfggGWOOfCWr7UzGoCAwCccx9HK7ZIMrO/AQ8B2cD7eNPIXg80BBYDQ4Ofv5lNBp4DtjvnLggqbwgcxbuisQJvfYskoCtwSaDaauCGaIwx0RUKEanKDhw4wNatW8nNzaVx48Z06dKl0i5cN3PmTDZu3BhSVq9ePSZNmkSTJk2KOUpEqoJYX6GIhzEUC/DGSPQC1oV5TJug4+LhOZTKOfd9M1sMfA+4CqgBbAYeA/7inMsKs6nTwCN44y66Az2AWnhJxnvAS8CUMrQnIiIBzZs3p3nz5n6HEREjRoxg//79nDjhTSDYoEED0tLSaNy4sc+RiUhVEw9XKPLw1pTo6ZwLK6Ews87ARsA55yrnV0eVlK5QiIhUHkeOHOG5554jKSmJSZMm0bBhQ79DEpEYqI5XKMojf+xHrq9RiIiIxLHGjRszadIkkpOTqV+/vt/hiEgVVVkTig6BbYVmRBIREanqmjZt6ncIIlLFxTyhMLP2xexqZWalLVmaAnTGG0PggLWRjE1ERKSyyV8rY/DgwVp8VER84ccViqIWdjPgnXK0lV7BWERERCqt/fv3k56ezunTp8nOzmbYsGFKKkQk5vxIKIr7S1eWv4CZwN+dc/+OQDwiIiKVzt69e5k2bRpnzngzjn/22WckJiZy/fXXK6kQkZjyI6G4u8Dj5/C6L/0S2F3CcQ4vkdgLrHDOldY9SkREpEratWsX06dP5+zZsyHl27dvJzc3l6SkyjpEUkQqo5j/xXHOTQ1+bGbPBe6+Fu60sSIiItXVjh07mDFjBllZocsNdejQgXHjximZEJGYi4e/OoMD26LGVoiIiEjAtm3bmDlzJtnZ2SHlHTt2ZOzYsSQnJ/sUmYhUZ74nFM65j/yOQUREJN5t2bKFWbNmkZOTE1J+4YUXctddd1GjRg2fIhOR6s73hMLMGgDfDzx8xjm3t5T6rYB7Aw//7JzLiGZ8IiIiftu4cSMvvPACubmh67l27dqV0aNHq5uTiPgqHv4CTQB+A2x0zv0ujPr7AsdciDeI+9nohSYiIuKvr7/+mpdeeom8vLyQ8osuuog77riDxMREnyITEfEk+B0AMAJvBqcXw6nsnHPA83jTzI6MYlwiIiK+WrduXZHJxCWXXKJkQkTiRjxcoegT2H5ShmM+LXCsiIhIlbJmzRpeffVVvO/RzuvVqxe33norCQnx8J2giEh8XKFoHtiWOHaigH2BbYsIxyIiIhIXateuXShpuPTSS5VMiEjciYe/SJmBbe0yHJNfN7fEWiIiIpVUp06dGDNmzLluTZdddhkjR45UMiEicSce/irlX5m4rAzH5NfdV2ItERGRSqxLly6MHj2aK6+8khtvvBEz8zskEZFC4iGhWIg3wPp+Myt1Eu1AnfvxBnIvinJsIiIivurWrRvDhg1TMiEicSseEornAtsuwEwzK7brU2DfLKBrgWNFREQqrQMHDvgdgohIufmeUDjnPuH8NLC3A1+Z2S/M7Doz6xq4XWdmvwS+AkbhXZ14Watsi4hIZeac46OPPuKf//wnq1ev9jscEZFyiYdpYwG+CTQFvgG0BX5bTL38673vApNiEJeIiEhUOOf44IMPWLTI6707e/ZsEhMTufjii32OTESkbHy/QgHgnMsEbgB+gLf6tRVz2wk8BAwPHCMiIlLpOOd49913zyUT+WWvvPIKR48e9TEyEZGyi5crFPkrYP/dzP4Pb8G6S/GuWgAcApYDq1zBFX5EREQqEeccb731Fl988UWhfcOHD6dRo0Y+RCUiUn5xk1DkCyQMKwI3ERGRKsM5x7x581i2bFmhfSNHjqRv374+RCUiUjFxl1CIiIhURXl5ecydO5eVK1eGlJsZt956K7179/YnMBGRClJCISIiEmV5eXm89tprhWZyMjNuv/12LrnkEp8iExGpON8TCjNrX5HjnXM7IhWLiIhIpOXm5vLqq6+ybt26kPKEhATuvPNOLrroIp8iExGJDN8TCmBrBY51xMdzEBERKSQ3N5eXX36Zr7/+OqQ8MTGR0aNH061bN58iExGJnHj4MG6lVxEREalccnJyePHFF9m4cWNIeVJSEmPGjOHCCy/0KTIRkciKh4Ti7jDq1AG6AncAbYDFwL+iGZSIiEhFbNiwochkYty4cXTq1MmnqEREIs/3hMI5NzXcumb2E+AvwH3AYufcz6IWmIiISAVcfPHFDBkyhA8++ACAGjVqMGHCBDp06OBzZCIikRUXK2WHyzmX7Zx7AFgA/MTMbvA5JBERkWINHDiQ6667jpSUFFJTU5VMiEiV5PsVinJ6ChgMPAi87XMsIiIixbruuuu49NJLadCggd+hiIhERaW6QhEkv1PqZb5GISIigrcCdnHMTMmEiFRplTWhaFBgKyIi4ouMjAzS09PZu3ev36GIiPiisiYUkwJb/fUWERHfnDp1iqlTp7Jt2zamTZvG/v37/Q5JRCTmKlVCYWZdzOxJvITCAfN9DklERKqpEydOMGXKFA4ePAjAmTNnSE9PP/dYRKS68H1QtpltCaNaAtAQqBdUdgD4QzRiEhERKcnx48eZOnUqR48eDSmvUaMGSUm+/2sVEYmpePird0E5jvkU+KZzTl2eREQkpo4ePUp6ejrHjh0LKW/UqBFpaWk0bNjQl7hERPwSDwlFOl73pZLkASeBrcBHzrmV0Q5KRESkoCNHjjB16lROnDgRUt6kSRPS0tKoX7++T5GJiPjH94TCOTfZ7xhERERKc+jQIaZOncqpU6dCyps1a0ZaWhp169b1KTIREX/5nlCYWVrg7nrn3Oe+BiMiIlKEAwcOkJ6eTkZGRkh5ixYtSE1NpU6dOj5FJiLiP98TCmAKXpencYASChERiSv79u0jPT2dM2fOhJS3atWKiRMnUrt2bZ8iExGJD/GQUBwH6nN+9WsREZG4sGfPHqZNm0ZmZmZIeZs2bZg4cSI1a9b0KTIRkfgRD+tQbA1sG/kahYiISJCDBw+Snp5eKJlo164dqampSiZERALiIaGYDRgw0u9ARERE8jVu3JhOnTqFlF1wwQVMnDiRlJQUn6ISEYk/8ZBQ/A3YDtxnZtf7HYyIiAhAYmIid9xxB127dgWgU6dOjB8/nuTkZJ8jExGJL76PoXDOnTCzocDLwFtm9hwwE/gSOOqcK22NChERkahITExk9OjRLF68mKuvvlqrYIuIFMH3v4xmlhv8ELgncMvfX9Lhzjnn+3MQEZGqKykpieuuu87vMERE4lY8dHmyoFvBx+HcREREKmTTpk2F1pgQEZHwxMO3+7/1OwAREam+1q5dyyuvvELz5s2ZNGkStWrV8jskEZFKxfeEwjmnhEJERADIzs7m7Nmz1KxZMybjFb788ktee+01nHPs37+f6dOna0pYEZEyiocuTyIihZw8eZJ//etfTJo0id69e9O+fXs6derEsGHD+PnPf87SpUv9DlEiIC8vj/fee49JkybRvXt3UlJSqFevHsnJyfTo0YNvfvObLFiwgGjMz7FixQpmz54d0vaePXtYvnx5xM8lIlKVmd+TKJnZtYG7S5xzZ8I8piYwAMA593G0YpPCzKwtsBNg586dtG3b1ueIpKo5c+YMv/vd73j88cc5efJkiXUHDBjAX/7yF6666qoYRSeRtGjRIr7zne+wbt26Uuv27t2bZ555hv79+0fk3EuXLmXevHmFyvv378+IESNKmxBERCSu7dq1i3bt2uU/bOec2xXN88VDQpEH5AG9nHOl/1fxjukMbATyNMtTbCmhkGj68ssvGT16NBs2bACgSZMm9OjRg9atW1OvXj1ycnI4ePAg27Zt46uvviI3Nxcz46c//Sn/9V//RUKCLrpWBs45fv3rX/P73/8e5xzJycn07t2brl270rJlS1JSUsjMzGTv3r1s2LCB1atXk5WVRUJCAr///e/52c9+VqEP/J9//jlvvfVWofIrrriCYcOGKZkQkUqvuiYUDuhZjoTCOecSoxmfhFJCIdGyYsUKhgwZwrFjx6hXrx433ngj3bt3L/bD3alTp3j33XdZtWoVAJMnT+bZZ59VUlEJPPzww/z5z38G4NJLL2XYsGElDoTOyMjgrbfeYvXq1QD86le/4re/Ld/wu08++YR33323UPk111zDkCFDlEyISJWghCK8Y7oA64Ec55yWLI0hJRQSDceOHeOSSy5h9+7dtG3blvHjx1O7du2wjs0fVJuXl8ef/vQnfvKTn0Q5WqmIF198kTFjxgBw8803c9lll4V97Keffsrbb78NwBtvvMFNN91UpnMvXLiQDz74oFD5ddddx3XXXadkQkSqjFgnFJX1q7wOge1xX6MQkYj40Y9+xO7du2ncuDETJ04MO5kA6NWrFyNGjADgl7/8JevXr49WmFJBR44c4Xvf+x4A1157bZmSCYArr7ySK664AoBvf/vbpY6xyeecY8GCBUUmE0OGDGHQoEFKJkREKiDmCYWZtQ++Be1qVXBfEbcuZjYceBTvqsbaWMcvIpG1ZcsWpkyZAsBtt91Wruk6L7vsMjp37szZs2d59NFHIxyhRMq//vUvDh06RLNmzbj22mtLP6AI119/PY0aNWLPnj2kp6eXWt85x/vvv89HH31UaN/QoUMZOHBgueIQEZHz/LhCsbXADbwVr98pYl/B29fAPKBv4LjS/5uISFx7+umncc7RuXNn2rdvX/oBRTAzBg0aBMALL7zAkSNHIhihRIJzjqeeegqAq666qtxrTNSoUePcVYqnn3661HO+8847LF68uNC+4cOHa3YwEZEI8SOhsAK34spLup0F/ts59+/YhS0i0ZA/QLZPnz4Vaqdt27Y0bdqUzMzMIj9Air92797Nli1bMDN69OhRobZ69uwJeONnjh49Wmy9rKwsNm/eXKj85ptv5vLLL69QDCIicp4fU67eXeDxc3jdl34J7C7hOAdkAnuBFc65U9EJL3rMbDTwPaA3kAxsAmYAf3HOZZejvX7Az4BrgQZ4r80bwCPOuQORilskWrKyss7N3FPRAf5mRtu2bTl06BBLly5l5MiRkQhRImTFihUANGvWjOTkis2lUbt2bRo1asTRo0fPzQ5WlJSUFNLS0pgyZQqHDx8G4JZbbuHSSy+t0PlFRCRUzBMK59zU4Mdm9lzg7mvhzvJUGZnZX4HvAznAB8ApYAjwR2CkmQ0Ld2G/QHt3ArPwfoZL8LqEXQY8AIw2s2ucc5si+iREIuzw4cNkZ3u5dMOGDSvcXqNGjQDYu3dvhduSyMr/QF+/fv2ItFevXj2OHj16rt3i1K1bl7S0NNLT07n22mvp1atXRM4vIiLnxcOicIMD260l1qrEzOw2vGTiFHCdc255oLwpXnJxDfAI8HCY7bUGpuL9/L7jnHs6UJ4ITAEmAjPN7HLn97zAIiWI9Mw6+W93zdgTfxITvSWDcnNzI9JeXl5eSLslqV+/Pvfdd19YdUVEpOx8nzbWOfdR4Bb2t/OV0M8D28fykwkA59wh4P7AwwfMrEGY7f0AqA28l59MBNrLBe7Dm063PzCsgnGLRFWTJk3OdX8pqS98uPIHY7dp06bCbUlkderUCYCDBw9WuC3n3Ll2OnfuDHiJSn6SURQlEyIi0eN7QhEuM0sxsxZmVmliBjCzNngf7gFmFtzvnFuEt1BcCnBjmM2OKqG9U8CcwMPbyxSsSIzVqFGD3r17A95CiRXhnGPXLm/dnrKubyDR16dPHxISEjh16lSp3ZRKs3//fs6ePUtKSgoXX3wxOTk5vPTSS8yePbvEpEJERKLD9w/nZlbXzG4M3OoWsb+pmb0CnAD2AEfN7M9mlhLzYMsnf/TfEedccd26lhaoWywzqwdcWOC4crcn4rfhw4cD5wftltf27ds5cuQItWvX5uqrr45EaBJBderUYejQoQAsW7asQm3lH3/TTTdhZrz44ousX7+eNWvWMGfOHNTTU0QktnxPKIA78GYmehI4HbwjcDXiTeA2oAbelLH18Lr8FPp2Pk51DGx3lFAn/6vZjiXUyXdB0P3i2ixLeyHMrG1JN6BlWdsUKcm9995LQkIC27ZtK3KKz3Dk5eXx4YcfAjBhwgQaNAi396DE0v33ez08lyxZUu61Qg4cOMDy5V7P0e985zvMmjWLjRs3ntu/atUq3nrrrYoHKyIiYYuHhOKGwHa2c67gteoxQL/A/eXAXwJbA24LrJod7+oFthkl1MmfAjec6U/qBd0vrs2ytFfQzlJuS8rRpkix2rVrx3333QfAnDlzyMgo6VelaJ999hnbt2+nTp06/Od//mekQ5QIufnmmxk8eDDZ2dm8+uqr52b4CtfZs2d59dVXyc3NZeTIkezZs4ctW7aE1ElOTubiiy+OZNgiIlKKeEgoLsFbY+KTIvalBbbLgCuccz8GrgS+CJRPin54IhJtjz32GJ06deL48eNMmzaNkydPhnWcc44lS5acWxzvj3/8Ix07lvnCnMRIQkICzz77LPXr12fXrl3MmDEj7ATy5MmTTJ8+nX379tGyZUtuvPFGtm/fHlInJSWF1NRUOnToEI3wRUSkGPGQUDQPbEPGF5hZDbwF2xzwuHMuByCwANyTeFcpBsQwzvLK/2RUp4Q6+WNHTpShvZLaLEt7BbUr5da/+ENFyqdu3brMmzeP5s2bs2/fPp544glWrlxZ4hSjR48e5YUXXmDevHk453jwwQfPdamR+NWxY0fmzZtH3bp12bZtG48//jjLly8v9mpFVlYWS5Ys4YknnmDnzp20aNGCn/3sZ+zfvz+kXs2aNUlLS6vwAokiIlJ28bAORePANqtAeX+gFl5CUbBD7IbAtjL0598W2LYroU7+vm0l1MkX/JVce2B1BdsL4ZzbVdJ+ze8v0dK9e3cWLVrEmDFjWLFiBa+99hrvv/8+F198Ma1bt6Zu3brk5uZy4MCBc+MtnHPUqFGD3/72t/zsZz/T+7OSuOaaa1i0aBGpqamsXr2aOXPm8O6779KxY0datmxJSkoKmZmZ7Nu3j61bt5KZmQnA5Zdfzvjx4wtNMVy7dm1SU1Np2bIy/EsQEal64iGhOI03LqB5gfJrA9tNzrn9BfZVpjUr8qeuaWJmHYuZ6Sl/jsvlRewL4Zw7YWab8GZ6uoyiE4qw2xOJJ126dOHzzz/nz3/+M//7v//LwYMH+fzzz4utP3ToUP7nf/5Hqx9XQr1792bp0qX87W9/4x//+Ac7duxg3bp1rFu3rlDdTp068cADD1CzZk0OHDgQsq9OnTqkpaXRvHnBfyEiIhIr5vf0ema2DOgD/NE59/Og8s/xPhj/2zl3b4FjhuFdtdjunIv7DtNm9gXeFZdfOOf+UGDfNcBC4CzQwjl3PIz2/gT8BG9hu6EF9tXFGzzdEBjunHs7Ik/ifPttA+2zc+dOdS+QqDl79ixz585l4cKFrFixgqNHj5KUlESXLl3o168fo0aNomvXrn6HKRGQm5vLwoUL+eKLL1i7di2nT5+mTp069OzZkwEDBtC7d2+mT59eaFG8unXrMmnSJJo2bepT5CIi8WnXrl20a3euc0y70nqgVFQ8JBSPAT/F6+8/Du/D9d3A3/C6O41yzs0pcMzDwJ+AT51zcT/hvJndBszGm33puvzVss2sCfAh0BP4s3Pu4aBjRgGPArudc9cXaK81sBFvtexvO+eeCZQnAs8BqXizMV3uIvwDVkIhIrF04sQJ0tPTCy2GV79+fSZNmkTjxo2LOVJEpPqKdUIRD12e/gZ8F6/b0xsF9n0FzC3imJvwko2KrYQVI86518zs78BDwGdm9j7elK/X411JWAz8ssBhDYBuQM0i2ttjZpOBWcDTZnYP3niJ/kAnYD8wPtLJhIhILDnneOGFFwolEw0bNiQtLY1GjRr5FJmIiATzfZYn59xeYCSwD2/mpvzbFuDOgh+KzawzMDDw8L0Yhlohzrnv462r8SlwFXAjsAv4GTDEOVemcSHOuZeAy4FX8ZKIUUAi8DjQ2zm3KXLRi4jEnplx4403kpKScq6sUaNGTJ48WcmEiEgc8b3LUz4zSwauxpu5aS+wKH+q2AL1rsH7Zh/gv51zpwvWkehRlyeR+HHixAmWLFnCypUrOXToEElJSXTs2JHLLruMSy65hIQE378zioidO3cybdq0c92c6tWrV/pBIiLVWLUbQyGVixIKEf+tXbuWP//5z8yaNevclKoFde7cme9+97vcf//91K5dO8YRRt7OnTtp1KgRdevWLb2yiEg1p4RC4poSChH/5OTk8Oijj/LII4+cWwiuQYMGtGnThnr16pGXl8fBgwfZs2cPWVne0j4XXnghU6ZM4eqr437+ChERiZDqOChbRERKcfbsWe666y7mzPEmvevatSvXXHMN7dq1K7SgX1ZWFqtXr2bBggVs2rSJQYMGMX36dMaMGeNH6GHZu3cvu3bton///n6HIiIiZaSEQkSkErjnnnuYM2cOSUlJjBw5kl69ehW7MnhycjL9+vXj4osv5o033mDt2rVMmDCBZs2aMWTIkBhHXrrdu3czffp0MjMzcc4xYMAAv0MSEZEyqBoj9kREqrAXX3yRGTNmkJCQwLhx4+jdu3exyUSwWrVqcccdd9CrVy9yc3OZPHkyJ06ciEHE4csfcJ0/FuTNN99k2bJlPkclIiJloYRCRCSOZWVl8YMf/ACAgQMH0rlz5zIdn5CQwM0330yjRo3YuXMnf/zjH6MQZfls376d6dOnc/bs2ZDytWvXovF9IiKVhxIKEZE4Nnv2bPbu3UvdunUZOHBg6QcUITk5maFDhwLwzDPPFPoA74ctW7YwY8aMc4PH83Xu3Jlx48aFdQVGRETigxIKEZE49uKLLwLQt29fkpLKP+ytW7du1KtXj4MHD7JgwYIIRVc+mzZtYtasWedmqsrXpUsXxo4dS40aNXyKTEREykMJhYhIHFu6dCkAnTp1qlA7iYmJdOjQIaRNP2zYsIHnn3+enJzQdUu7d+/OmDFjKpQ0iYiIP5RQiIjEqczMTHbs2AFA8+bNK9xeixYtAFi/fn2F2yqPr776ihdeeIHc3NyQ8h49enDnnXeSmJjoS1wiIlIx+ipIRCROBY8viEQ3oPw2Co5biIU1a9bw6quvFhps3bNnT2677TYSEvT9lohIZRWzhMLM2kejXefcjmi0KyLit9q1a5OUlEROTg4ZGRk0bNiwQu1lZGQA3urasbRq1Spef/31QslEnz59GDlypJIJEZFKLpZXKLZGoU2HrrKISBWVlJREjx49WLVqFXv37q1wQrF3714AevfuHYHowrNixYpzq3sH69evHzfddJNmcxIRqQJi+bWQRekmIlJlXX311QCsW7euQu1kZGSwbds2AK666qqKhhW2ohKGAQMGKJkQEalCYvnt/t0xPJeISJVwzz338MQTT7Bu3TqGDBlCo0aNytXOkiVLyMnJoV+/fjG9QtGnTx9yc3N54403ALjyyisZOnSokgkRkSokZgmFc25qrM4lIlJV9O3bl0GDBrFgwQLmzJlDampqmcccHDhwgIULFwLw4x//OOYf5vv160dubi4nT55kyJAhSiZ85Jxj27ZtLF++nH379mFmtGvXjr59+9K6dWv9bESkXDT+QEQkzj399NP07t2brVu38tZbbzFixIiwP/gdP36cWbNmkZuby0033cTYsWOjHG3RBgwY4Mt5xXP8+HGeeeYZnnzySTZv3lxknd69e3PfffeRlpZGrVq1YhyhiFRmVnDWDZGSmFlbYCfAzp07adu2rc8RiVQP06dPJzU1FYCuXbty8803U79+/RKP2bBhA3PmzOHUqVN06tSJxYsX07Jly6jE55zj2LFj5e6SJdEzb948vv3tb7Nnzx7Amz64Z8+edOzYkby8PDZu3Mi6devIy8sDvFXVn3vuOa688ko/wxaRCti1axft2rXLf9jOObcrmudTQiFlooRCxD9Tp07l3nvvJTs7m5SUFHr37k3Pnj1p2bLluTUmTp48yfbt21m2bBlbt3qT61188cW8+eabtG8fldm7cc7x/vvv8/nnnzNx4sRzK3KL/x599FF+/vOfA9ClSxf+4z/+g7Fjx1KnTp2QekePHmXq1Kn86U9/Yu/evSQmJvLcc8+dS2JFpHKp1gmFedfw+wC9gaZALUqZyck597voRyb5lFCI+GvNmjXcfffdLF269FyZmVG7dm1yc3PJzMw8V56QkMAPf/hDHnnkkah1YXHO8fbbb/P5558D3rffqampwf/IxCePP/44DzzwAAAPPfQQjz32WKnvg6NHj3LffffxwgsvkJCQwOzZs7nllltiEa6IRFC1TSjMbBLwa6BMX2055xKjE5EURQmFiP/y8vJ4//33eeqpp/j44485ePDguX1mRvfu3bntttv4zne+E9WrBc455s+fH5LcANSsWZOHHnpI/fB99NVXX3HppZdy9uxZHnnkEX7xi1+EfWxeXh7f/e53eeaZZ2jatClr166lefPmUYxWRCKtWiYUZvYH4GeEt66EC67nnNMSqzGkhEIkvjjn2LNnD4cPHyYxMZEOHTpQt27dmJx37ty5rFixotC+W2+9lT59+kQ9Bine0KFDee+99xgxYgTz5s0r8+xNWVlZXHbZZaxevZpvfetbPPPMM1GKVESiodolFGZ2OfApXqLwHvATvAX3lnN+JezGwGXAfcAtwCJgtHNuvx8xV2dKKEQkLy+POXPmsGrVqpByM2PUqFH07NnTp8gEvEUQe/ToQUJCAps3b+aCCy4oVzsLFy7k2muvpWbNmuzevZvGjRtHNlARiZpYJxTx8O3+fYHtduAm59yXQHb+Tuc57Jx72zl3G/A94BrgLTNLjnm0IiLVWF5eHrNnzy6UTCQkJHDHHXcomYgDM2fOBGDkyJHlTiYArrnmGnr37k1mZiavvvpqhKITkaooHhKKq/CuRPzdOZdTWmXn3D+BV4BewP1Rjk1ERAJyc3N5+eWXWbNmTUh5QkICo0ePpkePHj5FJsGWLFkCwIgRIyrUjpkxfPjwkDZFRIoSDwlFq8B2bVBZXv4dM6tRxDHT8MZRjIliXCIiEpCTk8NLL73EV199FVKemJjI2LFj6d69u0+RSUHr1q0DvIXqKiq/jfw2RUSKEg8JRX7CcCCo7FTQ/WZFHJPfD+zCqEQkIiLnZGdn88ILL7B+/fqQ8qSkJMaNG0eXLl18ikyKkj91cL169SrcVv7iicHTEYuIFBQPCUX+fIfBS77uB3ID9y8q4pj8qxoV/2spIiLFys7O5vnnn2fTpk0h5TVq1GDChAl07tzZp8ikOPmzfB05cqTCbeW3UXAhPBGRYPGQUOR3dTp3vdw5lxVUXlS3pvylO/dEMS4RkWpv+fLlbNmyJaQsOTmZiRMnVmjAr0TPJZdcAlDklL5ltXz5cgB69epV4bZEpOqKh4RiId54iMEFyl8IlH/TzH5rZj3MbICZPQHchTeQ+83YhioiUr0MGDCASy+99NzjlJQUUlNTad++vY9RSUmuuOIKAF5//fUKtZOXl8fcuXMBuPzyyyscl4hUXfGwDkUPYDXeuIm2zrkTgfLawBrgArzkIeQw4AjQJ9rz6koorUMhUv0453j99dfZsGEDEydOpHXr1n6HJCXYsWMHHTt2JC8vj1WrVpX76sKcOXO49dZbadCgAbt371a3J5FKpNqtQ+GcW4t3dWIU3iJ2+eWnA+WL8RKI4Nsa4HolEyIi0Wdm3HLLLdx7771KJiqB9u3bc8cddwDwrW99i5ycUmdkL+TkyZM8+OCDAHz7299WMiEiJfL9CkU4zKwb0AMv4djonKt4x1ApF12hEBGJf7t376ZHjx4cP36ce++9lyeffJKEhPC+Qzx79iy333478+fPp2PHjnz55ZfnBnqLSOVQ7a5QhMM5t94596pz7kUlEyIikXfy5ElmzpzJ8ePH/Q5FIqBNmzb8+9//xsx45plnGDVqFPv37y/1uM2bN3P99dczf/58atWqxYwZM5RMiEipfL9CYWbXBu4ucc6dCfOYmsAAAOfcx9GKTQrTFQqRqufEiRNMnTqVI0eO0LhxYyZPnhyRNQyqgiNHjvDpp5+yYsUKDh06REJCAh07dqRfv37079+fGjWKWns1fsycOZPJkyeTnZ1No0aN+O53v8ukSZPo2rUrZgZ4K6CvXr2aZ599lmeffZYzZ85Qt25dXnvtNa6//nqfn4GIlEesr1DEQ0KRh7cydi/nXFhLcZpZZ2AjkOecSyqtvkSOEgqRquXYsWOkp6dz9OjRc2VNmjRh8uTJ1fqb6S+//JI//elPvPTSS2RlZRVZp2XLltx777386Ec/omHDhrENsAxWrVrF5MmTWbly5bmyhg0bnhu4vWnTJjIyMs7tGzx4MM8++ywdO3b0IVoRiYTq2uXJYnyciEi1d/ToUaZMmRKSTIA3q1Nubm4xR1Vt2dnZ/PrXv6Zfv37MmDGDrKwsmjRpQq9evbjmmmu46qqr6Nq1K7Vr12bfvn088sgj9OjRg/nz5/sderF69+7NkiVLePXVVxk6dCjJyckcO3aMFStWsGrVKjIyMqhduza33XYb77zzDu+//76SCREpk3i5QuGAnmW4QtEFWA/kOOeSoxmfhNIVCpGq4fDhw0ydOpWTJ0+GlDdt2pS0tLRq2eXp7NmzjB49+tzaC927d+eKK67gyJEjbNu2jX379nH69GnMjAYNGlCzZk0OHDjAiRMnAPjnP//Jd7/7XT+fQliysrJYu3Yt+/btw8xo164d3bt3JzEx0e/QRCRCYn2ForJ2F+oQ2Gr0oIhIGR08eJD09HROnToVUt68eXNSU1OrbVene++9l7lz55KUlMTNN9/M0aNHmTVrFmfPni1UNzgRq1mzJpmZmdx33320aNGCUaNGxTLsMktOTg5ZrFBEpKJinlCYWXHLq7Yys1PF7MuXAnQGHsG7qrE2krGJiFR1+/fvJz09ndOnT4eUt2zZktTUVGrXru1TZP565ZVXmDZtGgkJCdx444188sknHDhwAIDGjRvTs2dPWrduTYMGDcjNzeXQoUNs376dNWvWkJmZea6de++9l6uvvprmzZv79VRERGIu5l2ezKxgx9z8cRDlCeRe59y/KxiSlIG6PIlUXnv37mXatGmcORM6oV7r1q2ZOHEitWrV8ikyf+Xk5NCpUyd27txJv379+Prrr8+NK7jxxhu5+OKLi13DITMzk48++ohPP/30XNl3v/td/vnPf8YqfBGRQqrDoOyCq14XV17S7Szw30omRETCs3v3btLT0wslE23btiU1NbXaJhMAc+fOZefOndSqVYutW7eSkZFBy5Ytuf/++7nkkktKXBCuZs2a3HDDDaSmppKU5F30f/bZZwuNTRERqcr8GENxd4HHz+FdnfglsLuE4xyQCewFVjjnSuseJSIieFcTp0+fXmj60/bt2zN+/HhSUlJ8iiw+vPTSSwA0atSIPXv2UK9ePVJTU6lTp07YbXTu3Jk777yT559/nuzsbP7+97/z//7f/4tWyCIicaVSzvIk/lGXJ5HKZffu3UydOpXs7OyQ8o4dOzJ27FiSkzVRXteuXdm4cSMJCQnk5eUxfvx4unbtWq62Zs+ezapVq+jUqRObN2+OcKQiIuGpDl2eChoMDAG2+h2IiEhV07RpU1q0aBFS1rlzZ8aNG6dkAm/NjU2bNgGQl5dH69aty51MAFx33XUAbNmyhS1btkQkRhGReOd7QuGc+yhwO1N6bRERKYuUlBQmTJhA69atAejSpQtjx46lRo0aPkcWH3Jzcwm+Ut+7d+8Ktde4cWM6dPBmNv/ggw8q1JaISGXhe0IhIiLRVbNmTSZOnMhVV13FmDFjzg0eFkhKSgoZKxGJbpz5bSxbtqzCbYmIVAZx91/FzOoBHYF6QKnLdjrnPo56UCIilVytWrUYOnSo32HEpd69e/PJJ58A3sDs8nDOkZmZSU5OzrlVxvft2xexGEVE4lncJBRmdi9wP9CT0OlkS+KIo+cgIuKnLVu20K5dO3VnKqOrrrrqXEJRlolKcnJyWLduHatXr2bPnj1kZGSE7F+2bBkffPABgwcPxizcf2siIpWP712ezCzRzF4DngR64cVUljUpRESqvVWrVjF9+nRefPFFcnJy/A6nUrn33nvP3T98+HBYx6xdu5a//vWvvPrqq2zcuLFQMgHeTHjXX389ffv2Zfny5RGLV0Qk3sTDt/vfBW4J3N+Pty7FMuAIkOdXUCIilcXy5cuZO3cuAJs2beLll19m9OjRJCaW2mtU8KaNbdGiBfv372fnzp20b9++2Lo5OTnMmTOHL7/8EoB69erRr18/OnfuTIsWLahRowZnzpxh7969fPXVV3z55ZesXLmSAQMG8D//8z/84Ac/iNGzEhGJnXhIKNIC23XAQOfcUT+DERGpTJYsWcL8+fNDytavX8/q1avp06ePP0FVQg8++CC/+MUvWLFiBVdddVWRXZTy8vJ45ZVX+OqrrzAzrr32WgYOHFhokHvt2rXp3LkznTt3ZvDgwcyfP5+1a9fywx/+kJycHB5++OFYPS0RkZjwvcsTcBHeWIhHlEyIiITvs88+K5RMgDcmoKLTn1Y3Dz74IDVr1uTQoUPnrj4U9Mknn/DVV1+RmJjI+PHjGTx4cKkzZtWpU4fRo0czePBgAH7605+ycOHCiMcvIuKneEgo8q33OwARkcpi8eLFvP3224XKBw4cyDe+8Q0NAi6j+vXr84tf/AKAN998k6NHQ7/fOnz4MB9++CEAN910E126dClT+9dddx19+vTBOcc3v/lNsrKyIhO4iEgciIeEYmNg29jXKEREKomPPvqI9957r1D5oEGDGDJkiJKJcvrpT39Kv379yMzMZOrUqRw6dOjcvs8++4zc3Fw6derEpZdeWq72b7jhBurUqcOmTZuYPXt2pMIWEfFdPCQUz+PN1nSz34GIiMQz5xwffPABCxYsKLTv+uuv57rrrot9UFVIjRo1mDNnDp07d+bYsWM89dRTfPrpp5w+fZpVq1YBcPXVV5c7YatVqxaXXXYZAE8//XTE4hYR8ZuVZc7tqARglgJ8BnQHhjnn1Lk0jplZW2AneFMiRmJVWREpnXOO995779x6CcGGDRvGlVde6UNUsXHmzBlee+01Fi9ezMqVKzl+/DjJycl07dqV/v37c8cdd9ChQ4eInW/v3r1MmDDhXBen5ORksrKyqF27Nj/5yU8qdAXo4MGDPP7449SqVYsTJ05o1XIRiYpdu3bRrl27/IftnHO7onk+369QOOfOAjfgTRX7rpn9ycz6mFlNn0MTEYkLzjnefvvtIpOJG2+8scomE5mZmfzyl7+kTZs2jB8/nscff5zFixezZs0ali9fzvPPP8+Pf/xjOnbsyK233sqGDRsict5WrVrx3nvv8dRTT3HBBRecG+/QunXrCncna9KkCcnJyZw5c4b16zV0UESqBt+/GjGz3OCHwI8Dt3D+cDvnnO/PQUQkWpxzzJ8/n6VLlxbaN3LkSPr27etDVNH35ZdfMmbMGL7++msAGjZsyEUXXUSrVq2oU6cOOTk5HDhwgC1btrB161bmzJnDO++8w5///Gfuv//+Cp8/ISGBb3/729xzzz1861vfYsqUKdStWzci7datW5cjR45w5MiRCrcnIhIP4uHDeMGsQaMJRUQCTp06de5DdT4z49Zbb62yU8MuW7aM66+/nuPHj1O3bl1GjBjBRRddREJC6EX1bt26MXDgQA4ePMibb77Jli1b+N73vsehQ4f41a9+FZFYEhMT6dGjBwC5ubml1A5Pfjvq7iQiVUU8/DX7rd8BRJuZ1QP+E7gDaA9kAJ8Df3bOfVCO9hYAJY2+3O+ca1mOUEUkztSrV4+0tDSmTJnC6dOnMTNGjRpFz549/Q4tKg4dOsRNN93E8ePHadeuHePGjaN27dolHtOsWTNSU1NZtGgR77//Pr/+9a/p1q0bY8aMiUhMnTp1ArzxDxWVmZnJ8ePHAbjwwgsr3J6ISDzwPaFwzlXphMLMmgMLga7AXmAu0AIYAYwws+875/6vnM2/Dewrovx4OdsTkTjUrFkz0tLSmD59OiNGjODiiy/2O6Soeeihh9i/fz/NmjVj4sSJpKSkhHWcmTFw4EDOnj3LokWL+N73vsfgwYNp3rx5hWPKn5npwIEDZGRkUKdOnXK3tX37dgDatWtHs2bNKhybiEg88H1QdjXwNF4y8T5woXPuLufcdXjT5OYBfzWzXuVs+zHn3OQibt+PUOwiEidatGjBgw8+WKWTiTVr1jBr1izMjNtuuy3sZCLYoEGDaNGiBYcPH+Yvf/lLROJq3749l112GXl5eaxYsaJCbS1btgyA22+/PRKhiYjEBSUUUWRmFwO3ArnAPc650/n7nHPzgSl4P4P/9CVAEYkrubm5lDSVd3Jycgyjib1//vOfAHTv3p02bdqUq42kpCQGDRoEwLPPPsvZs2cjElv+QO/Fixdz8uTJcrWxefPmczNR3XfffRGJS0QkHsRdQmFmnc1sopk9bGa/MrOmfsdUAaMC28XOue1F7J8Z2I40sxoxiklE4lB2djazZs3igw8+KDGpqMreeustgHKvRJ2va9eu1K5dm4MHD1b4ikK+1NRU+vXrx5kzZ5g9ezY5OTllOv7EiRO8/vrrAHzve9+jW7duEYlLRCQexE1CYWZ9zexjYAMwFfgj8GugeYF63zOzA2a2sRJ8CM//r1h4vsfQ8jpAl3K0P8rM/mpmT5nZ78xsuJnFzc9URMKTlZXFrFmz2Lx5M4sWLeLjjz/2O6SYO3r0KFu2bAGo8IKZiYmJtG7dGjjfxaiikpKSmDJlCrVq1WLLli08//zznD59uvQD8cZeTJkyhRMnTtClSxcee+yxiMQkIhIvfB+UDWBmNwMvAcmEThtb1Nd06cBjQBO8cQizox5g+XUMbHcUtdM5d8LMTgD1A3XXlbH9h4oo22BmE51zS8rYFnBuJeySaPYokQg6e/YsM2fOZMeO838mFixYQI0aNbjqqqt8jCy29uzZA0CtWrVKndUpHE2aNGHTpk3s3r27wm3lu+SSS3j99de59dZb2bRpE48//jjXX389PXv2pEaNwt9vnTp1iiVLlrBo0SJyc3O54IILeOeddyKynoWISDzxPaEws1bALCAFWAs8DCwCiuyk6pw7aWZzgLF4MyXFc0JRL7DNKKHOKbyEon4Z2l0ITAc+BnYBjYD+wO+BHsB7ZnaFc+6rMkcMO8txjIiUQ2ZmJjNmzGDXrl0h5SkpKXTo0MGnqPwRrW5ekW536NChLFy4kLS0NNatW3duQb327dvTsmVLatSowZkzZ9i7dy87duw4t+bETTfdxDPPPEOrVq0iGo+ISDzwPaEAfojX5Wc7MNA5dwxKXSV7ATAO6BetoMzsT8At5Tj0W865RZGOJ5hz7pcFik4Du83sTbxkoz/wKHBbNOMQkfI7c+YM06dPP/fNfL5atWqRmppa7T545j/fM2fOkJmZSc2aNSvU3tGjR0PajaR+/fqxbNky/u///o8nnniCbdu2sWHDhnMDroNdfvnl/PCHP+Suu+4q7f+aiEilFQ8JxXC8rk1/zk8mwpC/bGzHEmtVTGugPKPmgq9l519lKWnS8vz6J8pxrhDOubNm9gfgNWC4mdVwzmWXsZl2pexvCZSrO5WIeE6fPs20adPYty90GZnatWuTlpZGixYtfIrMP02aNKFDhw5s376d3bt307lz53K3lZeXd66rU79+0fneqWbNmvzkJz/hRz/6EZ9//jlLlizh66+/JjMzk/r169OrVy+uvPLKKj3Nr4hIvnhIKPKv639RhmPyP3xHrSOqc24iMLGCzWwD+uKtjl2ImQV3ddpWwXPly+/mlAI0xVtML2zOuV0l7dc3bCIVk5GRQXp6OgcOHAgpr1u3LmlpadV6sbOhQ4fyr3/9i5UrV1Yoodi0aRMZGRk0bNiQvn37RjDCwhITE7nqqquq1XgXEZGC4mFGoPykpiyxNAhsT0U4lkhbHtheVsz+/PIMvNmtIqFJ0P3yTZYuIlFx8uRJpkyZUiiZqFevHpMnT67WyQScX5th7dq17N+/v1xt5OXl8dFHHwHwzW9+k1q1akUsPhERKVo8JBT51/w7leGYAYFtkbMnxZHXAturzayoqxTjA9u55eiaVJyxge1Xzrl4T7hEqo0TJ04wZcoUDh06FFLeoEEDJk+eTJMmTYo5snQZGRls3bqVbdu2kZmZWdFQfdO3b19uueUW8vLyeO2118jOLvufxUWLFrF7927q16/PD3/4wyhEKSIiBcVDQrEQb6rY0eFUNrNk4Dt44y4WRC+sinPOrQVeBxKBZ83s3FdlZjYCmAzk4Q2gDmFm6Wb2tZk9UKB8sJkNsgJ9j8ws2cx+BjwYKPpzRJ+MiJTbsWPHeO655zhy5EhIecOGDZk8eTKNGzcuc5tr167loYce4uKLL6ZevXp06tSJjh07Uq9ePfr06cPPf/5ztm3bFqFnEDtPPvkkjRo1Yu/evTz//PNlWul6yZIlfPDBBwD85S9/qfB6FiIiEp54SCimBLa3mNnQkioGkol0oDNeQvFMdEOLiG8DG4FvAJvN7AUz+xCYh5do/NA592URx7XHGxRecKXw3sCHwF4ze8vMZpjZO3hXax7FS87+xzn3bHSejoiURW5uLtOmTePYsWMh5Y0bN+buu++m4f9v787jpKjv/I+/PjPDDXKIXHIJXqioCMaDVVE8CIqCioIDA/52k12TbLKbNckmMbvml81qzKVJfibZrLswXCKogOAVjaigogIqSlQUhkNQBLlhGGbm8/ujaqDnnu7p7uqeeT8fj3p097eqvv2pmp6Z+nR9j06d4qpv+/bt3HLLLZx11ln89re/5a9//SvuTl5eHrm5uZSWlvL2229zzz33MGDAAO644w727cue1o89e/ZkwYIFtGnTho8//pg//OEPfPzxx3UO/7pnzx7mzp3LkiVLAPjnf/5nbr/99nSFLCLS7Fmqxv6OKwizOcCtQAnwAPAo8BpB0jAG2A0MJ7g4r2ga9Xt3/0a1yjJQ2Pn6+8BNBInCAYJO6L9w9+dr2WcpcBnwY3e/O6Z8CPAVgiFz+wBdCO5ybAWWA39091dSeCy9Ceeq2Lx5s74BFGmA999/n3nz5lFeXg5A165dKSgooEOHDvXsWdny5csZO3YsO3bswMw4/fTTOeecc+jduzft27fH3dm7dy+bN29m1apVR2ee7t+/P0899RSnn3560o8tVV599VUmTJhwdMK/7t27c8YZZ9CzZ0/atWtHaWkpn332GRs2bOCDDz6gvLycvLw8fvzjH/P9739fA0iISLO2ZcsW+vQ5OnBnn/oG3WmsTEkoWhEkEaOpeXbso5uGj48Bt7p7Wapjk8qUUIgkZu3atcyfP58TTjiBgoIC2rWrazTp6lasWMHIkSM5cOAA3bt3Z+zYsfXOsbB+/XoWLVrE7t276datG8uXL+fkk09uzGGk1d69e/nhD3/IQw89xKFDh+rc9tJLL+X+++9nyJAhaYpORCRzNcuEooKZfQX4LkGTpppsAf7T3f+QvqgklhIKkcR9+OGH9O7dm7Zt28a13969exk8eDCbNm1iwIABTJgwgZYtWzZo34phaj/77DOGDRvGq6++Sl5eJowY3nC7du1izpw5vPLKK7z11lvs2bOHli1bcuqppzJs2DBuueUWBg8eHHWYIiIZo1knFBXM7AyCIVW7EfQz2AmsBlZ5JgbcjCihEEm/f/zHf+R3v/sdnTp14o477qBVq1Zx7b93714efPBBiouLue+++/jOd76TokhFRCQTKKGQjKaEQqR2n3zyCXv37mXQoEFJq3Pnzp307t2b4uJiJk+enPCEb6tWrWLRokX07NmTjRs30qJFi6TFKCIimSXdCUUmjPIkIpL1Nm3aRGFhIfPnz+eDDz5IWr2zZs2iuLiYHj16MGBAPNP1VHb22WfTrl07tm3bxpNPPpm0+ERERJRQiIg0UlFRETNnzqSkpITy8nLmzZvHRx99lJS6ly1bBsCZZ57ZqJGL8vLyjt45qahTREQkGTKmZ56Z5QHXApcQDA3bgaD/RF3c3UemOjYRkdqsX7+eOXPmUFpaerSsrKyMlStXJmVEpbfeeguAXr16Nbquijoq6hQREUmGjEgozOwyggnu+sYW17GLh+vVAUREIrNu3Trmzp1LWVnlEaxPPfVUbrrppqS8R8WEeO3bt290XRV17Nq1q9F1iYiIVIg8oTCzc4GngZYESUIxwczSuwkmbBMRyThVJ6urMGjQIG666SZyc+u7wdowFUO8xt4BSVRFHeqQLSIiyRR5QgHcDbQCDgPfBv7X3YsjjUhEpA5r167l0UcfrZZMnHXWWYwbN46cnOR1TzvllFPYtm0b27dv58QTT2xUXdu3bz9ap4iISLJkQqfsvyFouvRTd/+9kgkRyWRr1qxh/vz51ZKJc845J+nJBMCwYcMA2LBhQ6Prqqhj6NChja5LRESkQiYkFK3Dx6cjjUJEpB5vvfUWjz32GFXn7xkyZAg33HBD0pMJgJtvvhkI7oocOHAg4Xq2b9/Oxo0bycnJYdy4cckKT0REJCMSiqLwUY16RSRjrVy5koULF1YrHzZsGGPGjGnUkK51ufDCCxkyZAilpaU899xzCdXh7jz9dPCdzfXXX0/fvn3r2UNERKThMiGhWBA+XhplECIitXn99ddZvHhxtfILLriA0aNHpyyZADAzHnjgAcyM1atXs2bNmrjrWL58OevXr6d169bcd999KYhSRESas0xIKB4AtgF3mln/iGMREammpqZGw4cP55prrklpMlHhkksu4c477wTg8ccf54033qjW7KomZWVlvPDCC0fvbPz85z9Xh2wREUm6yBMKd/8cGA0cAlaY2VfMrGPEYYmIHDVixAguvvjio68vvfRSRo4cmZZkosK9997LlClTKC8vZ8mSJcycOZONGzfWmFiUl5ezbt06HnroIV588UUA7rrrLr7xjW+kLV4REWk+rCHfcqVDeHdiBdCVYNSnHcDBenZzdx+Y4tAkhpn1BjYDbN68md69e0cckUh6uDvPPPMMbdu25dJLo2mhWV5ezq9//WvuuusuiouDAfE6d+7MiSeeSOfOnXF3du7cyZYtW9i3bx8AnTp14je/+Q2TJ0+OJGYREUm/LVu20KdPn4qXfdx9SyrfLyMSCjO7CXgI6EDdM2RX5e6enNmjpEGUUEhz5u5pvStRmw8//JD77ruP2bNnc+jQoRq36dixI1OnTuW73/0uvXr1SnOEIiISpWaXUJjZRcBLQEVisBF4hwbOlO3ut6csOKlGCYU0Ze7O/v376dChQ9ShNMiePXt49dVXWblyJZ9++ilmRp8+fRg6dCgXXnghbdu2jTpEERGJQLoTikyYKfsugmRiD5Dv7k9GHI+INEMVQ6u+9957TJ06la5du0YdUr06duzIqFGjGDVqVNShiIhIMxZ5p2xgGEGfiX9XMiEiUXB3lixZwuuvv86BAweYPn06X3zxRdRhiYiIZIVMSCgq7skvizQKEWmWysvLWbRoEStXrjxatn//fmbMmEFpaWmEkYmIiGSHTEgoNoSPauwrImlVXl7OwoULeeuttyqVmxkjR44kLy8TWoWKiIhktkxIKB4jGNnpmqgDEZHmo6ysjMcee4x33nmnUnlOTg7jx4/nrLPOiigyERGR7JIJCcUvgXXAP5nZsKiDEZGmr6ysjPnz5/Pee+9VKs/NzeWWW25h0KBBEUUmIiKSfSJPKNx9HzASeBd4ycx+amZnm1nriEMTkSaotLSURx55hPfff79SeV5eHhMmTOC0006LKDIREZHsFHkDYTMri30J/Gu4NGQCKXf3yI9BRLLDkSNHmDt3Lh9//HGl8ry8PCZOnMiAAQMiikxERCR7ZcLFeNWsIfppaEWkySkpKWHOnDkUFRVVKm/RogX5+fn069cvmsBERESyXCYkFD+OOgARadoOHz7M7Nmz2bRpU6XyVq1akZ+fHzubqIiIiMQp8oTC3ZVQiEhKLVu2rFoy0bp1ayZNmsSJJ54YUVQiIiJNQ+SdskVEUu2yyy5j4MCBR1+3adOGgoICJRMiIiJJoIRCRJq8vLw8br31Vvr370+7du2YMmUKPXv2jDosERGRJiFtTZ7MrG/Fc3ffVFN5ImLrEhGpTYsWLZg4cSL79u3j+OOPjzocERGRJiOdfSg2hI9e5X031LBtQ1WtS0SkVi1btlQyISIikmTpbPJkMUtt5YksIiIA7Nmzh0cffZTi4uKoQxEREWk20vnt/u1xlouINNju3buZPn06u3fvZs+ePeTn59OqVauowxIREWny0pZQuPv0eMpFRBrqiy++YPr06ezduxeAzZs3M2fOHG677TZatmwZcXQiIiJNm0Z5EpGstmPHDqZNm3Y0mahw4MABSkpKIopKRESk+Yi8Q7OZFYRPP3D3FZEGIyJZZfv27RQWFnLgwIFK5d26daOgoIB27dpFFJmIiEjzEXlCAUwjGK1pIqCEQkQa5NNPP2XGjBkcPHiwUnmPHj2YPHkybdu2jSgyERGR5iUTEoo9wHHAuqgDEZHssHXrVmbMmFFtNKcTTzyR/Px82rRpE1FkIiIizU8m9KGomIeic6RRiEhW2LJlC4WFhdWSiT59+jB58mQlEyIiImmWCQnF4wTzSYyJOhARyWybNm1ixowZHD58uFJ5v379mDRpkoaJFRERiUAmJBQPABuBO8xsZNTBiEhm2rBhAzNnzqw2ctOAAQPIz8/X8LAiIiIRiTyhcPe9wFXA+8DTZvZfZjbCzLqYmWbCFhGKioqYPXs2R44cqVR+8sknM2HCBFq0aBFRZCIiIhJ5p2wzK4t9CfxtuFSsr2t3d/fIj0FEUqtLly506NCBXbt2HS077bTTuPnmm8nL058AERGRKEV+h4IgiahYqr5uyCIiTdxxxx1HQUEBHTt2BGDQoEGMHz9eyYSIiEgGyIT/xj+OOgARyXydOnViypQprFixgquvvpqcnEz4PkREREQiTyjcXQmFiDRI586dGTVqVNRhiIiISAx9xSciGWXjxo24e9RhiIiISAMpoRCRjPHmm28ybdo0Fi9erKRCREQkS0Te5KkqMxsIXAT0ANoCD7r7jmijEpFUW7FiBU8//TQAq1atIjc3ly9/+cv1jfQmIiIiEcuYOxRmdp6ZvQR8CEwHfgb8O9CtynZfN7PtZrbOzDT4vEgT8MorrxxNJiq88cYbfPTRRxFFJCIiIg2VEQmFmV0HLAeGU/+QsIVAG2AAcF1aAhSRlHn55Zf585//XK38sssu4+STT44gIhEREYlH5AmFmfUE5gCtgLXAl4EOtW3v7vuAReHLL6c8QBFJCXdn6dKl/OUvf6m27oorrmDEiBFq7iQiIpIFIk8ogH8G2gEbgUvc/Rl3P1DPPksJ7mAMTXFsIpIC7s7zzz/Piy++WG3dVVddxSWXXBJBVCIiIpKITOiUPQpw4JfuvruB+7wfPp6UkohEJGXcnWeffZbXXnut2rpRo0ZxwQUXRBCViIiIJCoTEop+4ePrceyzN3xsn+RYRCSF3J2nnnqKN954o9q6a6+9lmHDhkUQlYiIiDRGJiQUFTHE0/yqY/i4P8mxiEiKuDuLFy9m1apV1dZdf/31DBkyJIKoREREpLEyoQ/Fp+HjgDj2+VL4uCnJsYhICpSXl7Nw4cJqyYSZMW7cOCUTIiIiWSwTEoqXCTpYj2/IxmbWEvh7gn4XS1MXlogky86dO1m7dm2lMjPjxhtv5Oyzz44oKhEREUmGTEgopoWP15vZVXVtGCYThcBAgoTiT6kNLTnMbLSZ3W1mT5jZVjPzcOndyHpbmtn3zOxtMztgZrvMbKmZ3Zys2EWS4YQTTuC2224jLy9o4ZiTk8P48eM566yzIo5MREREGivyPhTuvtTM5gK3Ak+Y2QPAozGb9DezTgST3n2VoGmUA39w9/fSHW+CZnOs30dSmFlb4M/AxcBu4GmCTupXAJeZ2S/d/c5kvqdIY/Tv358JEyYwb948brzxRk499dSoQxIREZEkMHePOgbMrBVBEjGaIFmoddPw8THgVncvS3VsyWBm/wOsA1aFy/ZwVR9335JgnfcD3wLWAFe4+46wfChBU7D2wBh3X9yo4Ku/b29gM8DmzZvp3btRN1mkGSouLqZ169ZRhyEiItJkbdmyhT59+lS8TPh6s6EyockT7n7Y3a8j6BuxniBxqGnZAnzN3W/OlmQCwN3/j7vfE07a93lj6zOzzsAd4cs7KpKJ8L1WAj8LX/6wse8lEq/6vqRQMiEiItK0RN7kKZa7/wn4k5mdAQwDugG5wE5gNbDKM+GWSvRGAy2BTe6+vIb1s4GfABeaWS9335rW6KTZKikpYc6cOQwePJjzzjsv6nBEREQkDTIqoajg7muBtfVu2HxVjLH5Zk0r3X29mX0BdAHOBZRQSModPnyYWbNmsXnzZoqKisjJyeHcc8+NOiwRERFJsYxMKKReJ4WPdc3DsYUgoTipjm2qacDIUz3iqU+ah+LiYmbOnMknn3xytGzRokXk5eVpJCcREZEmLmMTCjPLAzqHL3e5e2mU8WSYDuHjgTq2qZhF/Lg4694cfzjSnB08eJCZM2eybdu2SuVt2rSha9euEUUlIiIi6ZJRCUXYd+IfgCuBUzk2qpOb2TrgOeCP7v5umuK5D7g+gV3/zt2XJTsekUxz4MABZsyYwWeffVapvF27dhQUFNCtW7eIIhMREZF0yYiEwsxygJ8D3yQYecqqbgKcRpBk/IOZ/Q74F3cvT3FovcL3jVf7ZAdSxb7wsV0DYtgbZ9196lnfA3gjzjqlCdq3bx8zZszg888rD1zWvn17pkyZorsTIiIizURGJBQEoxKN51gi8R7wOlDxtWd34HzgLIJRn75JcLF/ayqDcvdJwKRUvkeCisLHvnVsU9EXoqiObaqpb5xis6q5njRHe/fupbCwkJ07d1YqP+6445gyZQpdunSJKDIRERFJt8gTCjObANxCMKHd28BX3b3Gb8DN7HzgDwSjHN1sZhPc/eG0BZs5VoWPw2paaWYDCDpkQzDcrkjS7N69m8LCQnbt2lWpvFOnThQUFNC5c+da9hQREZGmKBMmtvtq+Pgh8De1JRMA4bpLgQ8I7mb8ferDy0hPAiVAXzMbXsP628LH1zQHhSTTrl27mDZtWrVkonPnzkydOlXJhIiISDOUCQnFOQR3J37m7nWNWgRAuE3FTNDnpDKwqJnZ82b2vpmNiy13913A78OXD5rZ8TH7nAd8L3z50/REKs3Bzp07mTZtGnv27KlUfvzxx3P77bfTsWPHiCITERGRKEXe5IlgxmeAd+LYp2LbFkmOJSXM7EfAtTWsWmRmJeHzVe7+tSrrBwL9gJqu1H4AfAm4CFhnZn8h6KQ9kuC8/MrdFycjfpHDhw8zffp09u3bV6n8hBNOoKCggPbtUz0OgYiIiGSqTEgoNgKDqPmiuTYVcytsTH44KTEQuKCG8iExz4vjqdDdD5rZCODbQD4wmqAZ1KvA79x9XkKRitSgVatWDB8+nKeffvpoWffu3Zk8eTLt2tU12JiIiIg0dZmQUDwK/Ai4CXihgfvcTNBM6vFUBZVM7j4VmJrAfv3rWV8C3BsuIil1wQUXUFZWxp///Gd69uzJ5MmTadOmTdRhiYiISMQyIaH4FcE37H9vZi+5+yN1bWxmNxN0xt4A/CIN8YlI6OKLL6Zt27acfvrptG7dOupwREREJANE3inb3fcQzIy9CphjZgvMbKyZnWhmLcwsL3w+1sweB+aG244M9xWRNDr33HOVTIiIiMhRkd+hMLOy2JfAmHCpdReC+RfW1zHJmrt75Mcmko02btxITk4OffrUN2m6iIiISAYkFBybHbu21w3ZR0SSYP369Tz88MPk5ORQUFBAr169og5JREREMlwmJBQ/jjoAEYGPPvqIuXPnUlpaCsCMGTOYMmUKPXr0iDgyERERyWSRJxTuroRCJGIffvghjzzyCGVlx1ogFhcXs2LFCm644YYIIxMREZFMF3lCISLR+utf/8r8+fMpLy+vVH7mmWdy3XXXRRSViIiIZIvIR3kys1aN2PfsZMYi0ty8++67zJs3r1oycfbZZ3PjjTeSm5sbUWQiIiKSLSJPKIBVZnZOvDuZ2XeAFSmIR6RZePvtt3nsscdw90rl5557LjfccAM5OZnw50FEREQyXSZcMQwCVoQJQr3MrLeZ/YVgduiWKY1MpIlavXo1CxYsqJZMDB06lOuvv17JhIiIiDRYJlw17CFIDO41s7+YWe/aNjSzicA7wGUEQ8cuS0+IIk3Hm2++yaJFi6qVf+lLX+Laa6+ljvldRERERKrJhITiHOAlggThMuAdM5sQu4GZHWdms4CZQCegFLgLuDy9oYpktxUrVrBkyZJq5RdddBGjRo1SMiEiIiJxizyhcPdNBInBDwgShU7ALDObESYSIwjuSkwgSDo+AC529/909/IaKxWRapYvX87TTz9drfySSy7hqquuUjIhIiIiCYk8oQDwwL3AxcCHBInDbeHz54C+YdkfgPPcfWVUsYpkI3dn+/bt1cpHjBjBFVdcoWRCREREEpYRCUWFMFEYAiwkSCBOIIhxL3Cdu3/N3Q9FGKJIVjIzbrjhBs4888yjZSNHjuSyyy6LMCoRERFpCjJxYrsC4GrACZIKgA7A9Wb2ghIKkcTk5OQwbtw4ysvL6dOnDxdddFHUIYmIiEgTkDF3KMysq5ktBB4E2gCHgB8DRQSJxVcI5qwYGlmQIlkuNzeX8ePHK5kQERGRpMmIhMLMvgysAa4jSB5WEvSV+DHBKFAzw/JTgVfM7IemRt8iNXJ3Dh2q/UaefnVEREQkmSJPKMzsd8BioDtBM6d7gIvc/UMAd9/n7gXArcBuoAXwf4GXzKx/FDGLZCp354knnuB//ud/2L9/f9ThiIiISDMQeUIBfI3g7sMm4HJ3/6G7l1bdyN3nAYOBv4TbDwfeSmOcIhmtvLychQsXsnr1anbs2MGMGTM4ePBg1GGJiIhIE5cJCQXALOBsd3+5ro3cfau7XwncCRwm6Kwt0uyVl5fz+OOP8/bbbx8t2759O7NmzcLdI4xMREREmrpMSCjy3X2yu+9t6A7u/ivgS8C7qQtLJDuUlZUxf/583n238q9DTk4Ol1xyifpMiIiISEpFPmysu89JcL81ZnZ+suMRySalpaXMnz+fDz74oFJ5bm4ut956K6ecckpEkYmIiEhzEXlC0RjuXhJ1DCJROXLkCI888ggfffRRpfK8vDwmTJjAwIEDI4pMREREmpO0Nnkys1+FS7da1ueaWV8z61tPPQPMbJWZrUxNpCKZ7ciRIzz88MPVkokWLVqQn5+vZEJERETSJt13KP6JYGjY/wa217D+dIL5KMqpO7Y2wLlhXSLNSklJCbNnz2bjxo2Vylu2bEl+fj59+9aZj4uIiIgkVaY2eVIvUpEaHD58mFmzZrF58+ZK5a1atWLSpEn07t07oshERESkucrUhEJEqjh06BCzZs3ik08+qVTepk0bJk2aRK9evSKKTERERJozJRQiWeLZZ5+tlky0bduWyZMn06NHj4iiEhERkeYuE+ahEJEGuPrqq+nevfvR1+3atWPKlClKJkRERCRSSihEskSbNm2YPHkyJ5xwAh06dGDq1Kl061bjgGkiIiIiaaMmTyJZpF27dhQUFFBSUkKXLl2iDkdERERECYVItmnfvn3UIYiIiIgcpSZPIhlm165dLFmyhLKysqhDEREREalXVHcovmZmNU1sd7RBuJn9Wx37q+G4NEk7d+5k+vTp7Nu3j4MHD3LTTTeRk6O8X0RERDJXVAnFHXWsq5j9+t/TEYhIpvj8888pLCxk//79AKxdu5bc3FzGjh2rpEJEREQyVhQJhWbBFqnis88+o7CwkIMHD1Yq//zzzykpKaF169YRRSYiIiJSt3QnFJen+f1EMt62bduYMWMGhw4dqlTeq1cvJk2apGRCREREMlpaEwp3fzGd7yeS6T755BNmzpxJcXFxpfLevXuTn5+vZEJEREQynoaNFYnI5s2bmTlzJiUlJZXK+/Xrx8SJE2nVqlVEkYmIiIg0nBIKkQgUFRUxe/Zsjhw5Uqn8pJNOYsKECbRs2TKiyERERETio4RCJM3Wr1/PnDlzKC0trVQ+cOBAbr31Vlq0aBFRZCIiIiLxU0IhkkYfffQRDz/8cLVJ60499VTGjx9PXp5+JUVERCS76OpFJE0+/PBDHnnkkWrJxKBBg7jpppvIzc2NKDIRERGRxGm2LJE06dixY7W+EWeddZaSCREREclqSihE0qR79+5Mnjz56OhNZ599NuPGjVMyISIiIllNTZ5E0qhnz55MmjSJNWvWcM0115CTo5xeREREspsSCpE06927N7179446DBEREZGk0NejIimwdevWqEMQERERSQslFCJJ9tprr/GnP/2JZcuWRR2KiIiISMopoRBJouXLl/PMM88A8Pzzz/Pqq69GHJGIiIhIaimhEEmSF198keeee65S2bPPPqvmTyIiItKkqVO2SCO5Oy+88AIvv/xytXUjR46kV69eEUQlIiIikh5KKEQawd157rnneOWVV6qtu/rqq7nooosiiEpEREQkfZRQiCTI3XnmmWdYsWJFtXWjR4/m/PPPjyAqERERkfRSQiGSAHfnySef5M0336y2bsyYMZx33nkRRCUiIiKSfkooROJUXl7O4sWLWb16daVyM+OGG27gnHPOiSgyERERkfRTQiESh/LychYuXMg777xTqdzMGDduHIMHD44oMhEREZFoKKEQaaCysjIWLFjAu+++W6k8JyeHm266iTPOOCOiyERERESio4RCpIE++eQT3nvvvUplubm5jB8/ntNOOy2iqERERESipYnt0sDMRpvZ3Wb2hJltNTMPl96NqLMopp6alteSeQwCffv2ZezYsUdf5+bmMmHCBCUTIiIi0qzpDkV6zAY6pqjuR4H9NZR/nKL3a9bOPvtsysrKeOqpp5gwYQIDBgyIOiQRERGRSCmhSI/HgHXAqnDZnsS673T3oiTWJ/UYMmQIp5xyCu3bt486FBEREZHIKaFIA3f/P7GvzSyqUKSB3L3On5OSCREREZGA+lCIVFFcXExhYSEfffRR1KGIiIiIZDzdoch+t5tZF4Kf5VbgRXd/KeKYstahQ4eYOXMmW7duZcuWLdx2222cdNJJUYclIiIikrGUUGS/f6taYGZvALe5e9xfsTdg5Kke8daZLQ4ePMiMGTP49NNPASgtLWXOnDnk5+fTr1+/iKMTERERyUxKKLLXEmAZ8DrwCcGF/iXAfwDnA0vN7Dx3j7cD+OakRpkl9u/fz4wZM9i+vfLpatWqFW3bto0oKhEREZHMp4SiDmZ2H3B9Arv+nbsvS3Y8sdz961WKioAiM1sCrAT6Az8A/imVcTQF+/bto7CwkB07dlQq79ChA1OmTOH444+PKDIRERGRzKeEom69gERmLYtsCCB3/8LM7gfuB8YQf0LRp571PYA34g4sQ+3Zs4fCwkK++OKLSuUdO3akoKCALl26RBSZiIiISHZQQlEHd58ETIo6jgT8NXyMeyZud99S1/qmNOTt7t27mT59Ort3765U3qlTJ6ZMmUKnTp0iiUtEREQkmyihaJoq2ujsizSKDPbFF19QWFjInj17KpV36dKFKVOmcNxxx0UUmYiIiEh2UULRNE0IH1+PNIoMtWPHDgoLC9m3r3K+1bVrVwoKCujQoUNEkYmIiIhkH01sl8HM7Hkze9/MxlUpv8HMhtawfYew/0RFR/JfpSHMrLJ9+3amTZtWLZno1q0bU6dOVTIhIiIiEifdoUgDM/sRcG0NqxaZWUn4fJW7f63K+oFAP6BjlfLLgW+Z2SZgDbCboAP5uUBnoBS4092fS8oBNBF79+5l+vTpHDx4sFJ5jx49mDx5soaHFREREUmAEor0GAhcUEP5kJjnxXHUt4BgJKnzgGFAF6AE2ATMBR509zUJRdqEdejQgcGDB7NixYqjZb169WLSpEm0adMmwshEREREspcSijRw96nA1AT2619L+VJgaSNCapbMjGuuuYaysjLefPNN+vTpw2233Ubr1q2jDk1EREQkaymhkGbFzBg9ejSdO3dm6NChtGrVKuqQRERERLKaEgppdsyMiy++OOowRERERJoEjfIkTdKGDRuqzX4tIiIiIsmnhEKanHXr1jFr1iwKCwurzYItIiIiIsmlhEKalPfff5+HH36YsrIy9uzZw/Tp06vNhi0iIiIiyaOEQpqMtWvXMm/ePMrLy4+W7d69m9df14ThIiIiIqmiTtnSJKxZs4bHH38cd69Ufs455zBy5MiIohIRERFp+pRQSNZ76623WLhwYbXyIUOGMGbMGMwsgqhEREREmgclFJLVVq5cyeLFi6uVDxs2jNGjRyuZEBEREUkxJRSStV5//XWeeuqpauUXXHAB11xzjZIJERERkTRQQiFZ6dVXX+XZZ5+tVj58+HBGjhypZEJEREQkTZRQSNZZtmwZzz//fLXySy+9lBEjRiiZEBEREUkjJRSSNdydl156iaVLl1Zbd/nll3PppZemPygRERGRZk4JhWSN8vJyioqKqpVfeeWVDB8+PP0BiYiIiIgmtpPskZuby8SJE+nTp8/RsmuuuUbJhIiIiEiElFBIVmnZsiX5+fn07t2ba6+9lgsvvDDqkERERESaNTV5kqzTqlUrbr/9dnJylA+LiIiIRE1XZJKRysvLOXLkSK3rlUyIiIiIZAZdlUnGKS8vZ8GCBcyePbvOpEJEREREoqeEQjJKWVkZjz76KGvWrKGoqIiHH36Y0tLSqMMSERERkVoooZCMUVZWxvz581m7du3RsvXr1/Poo49GGJWIiIiI1EWdsiUjlJaW8sgjj7Bu3bpK5Xl5eQwdOjSiqERERESkPkooJHJHjhxh7ty5fPzxx5XK8/LymDhxIgMGDIgoMhERERGpjxIKiVRJSQlz5sypNgN2ixYtyM/Pp1+/ftEEJiIiIiINooRCInP48GFmz57Npk2bKpW3atWK/Pz8SjNii4iIiEhmUkIhkSguLmbWrFls2bKlUnnr1q2ZNGkSJ554YkSRiYiIiEg8lFBI2h06dIgZM2awbdu2SuVt2rRh8uTJ9OzZM6LIRERERCReSigkrQ4cOMCMGTP47LPPKpW3a9eOyZMn071794giExEREZFEKKGQtFq4cGG1ZKJ9+/YUFBRwwgknRBSViIiIiCRKE9tJWo0aNYoOHTocfd2hQwemTp2qZEJEREQkSymhkLTq0qULBQUFtG/fno4dO3L77bdz/PHHRx2WiIiIiCRITZ4k7bp27UpBQQEtWrSgU6dOUYcjIiIiIo2ghEIioSZOIiIiIk2DmjxJSuzYsYOlS5fi7lGHIiIiIiIppDsUknTbt2+nsLCQAwcOcOTIEa688krMLOqwRERERCQFdIdCkurTTz9l+vTpHDhwAIBXXnmFF154IeKoRERERCRVlFBI0mzdupXp06dz8ODBSuXr16+ntLQ0oqhEREREJJXU5EmSYsuWLcycOZPDhw9XKu/Tpw/5+fnk5emjJiIiItIU6SpPGm3Tpk3MmjWLkpKSSuX9+/dn4sSJtGzZMqLIRERERCTVlFBIoxQVFTF79myOHDlSqXzAgAFMmDCBFi1aRBSZiIiIiKSDEgpJWFFRES+++GK1/hEnn3wyt956q5o5iYiIiDQD6pQtCVu4cGG1ZOK0005TMiEiIiLSjOiqTxJWVlZW6fUZZ5zBjTfeSG5ubkQRiYiIiEi6KaGQeB3NFvbt23e0cNCgQVxwwQVs27YtkqBEREREJFDleizl3/Sau6f6PaQJMbNhwBtRxyEiIiIiDXK+u7+ZyjdQHwoREREREUmY7lBIXMysFTA4fPk5UFbH5tmmB8fuvpwPfBphLNlG5y5xOneJ07lLnM5d4+j8JU7nLnHxnLtc4ITw+Rp3P1zHto2mPhQSl/ADmdLbZlExs9iXn7r7lqhiyTY6d4nTuUuczl3idO4aR+cvcTp3iUvg3G1MYTiVqMmTiIiIiIgkTAmFiIiIiIgkTAmFiIiIiIgkTAmFiIiIiIgkTAmFiIiIiIgkTAmFiIiIiIgkTAmFiIiIiIgkTBPbiYiIiIhIwnSHQkREREREEqaEQkREREREEqaEQkREREREEqaEQkREREREEqaEQkREREREEqaEQkREREREEqaEQkREREREEqaEQkREREREEqaEQkREREREEqaEQpotMxttZneb2RNmttXMPFx6N6LOoph6alpeS+YxRCUV5y6st6WZfc/M3jazA2a2y8yWmtnNyYo9E5hZBzP7TzP7wMwOmdkOM1tiZlckWN/Sej53nyb7GFLFzMaHx7Mr/Ay8bWbfNbMWCdY31MzmmdlnZlZsZhvM7Ldm1i3ZsUctWefOzKbW83lyMxuVquNIJzM7zcz+0cymmdkaMysNj++uRtZ7pZk9Gf5uHzKz983sp2bWPlmxRy3Z5y78n1Lf5+70ZB9HFMyshZmNNLOfm9kbZrbbzI6Y2admtsjMrm1E3ZF89vJSWblIhpsNdExR3Y8C+2so/zhF75duST93ZtYW+DNwMbAbeBpoD1wBXGZmv3T3O5P5nlEIL2RfBk4FtgFPAN2BLwNfNrNvuftvE6z+GaCm5GFPgvWllZndD3wLKAX+QvA7dAXwM2CMmV3t7ofiqO9mYA7B/7o3gA3AMOAbwHgz+xt3/yipBxGRZJ+70MfAslrWfZJgqJnmDoLzljRm9s/ArwAn+F3/DLgE+AFwU/i525HM94xI0s9d6G3grVrWZcXfsga4jOD/HQR/s5cBB4AzgDEEv7P/BfyDu3tDK430s+fuWrQ0ywX4H+D7wDXACeEvoAO9G1FnUVhH/6iPLwvP3f1hHe8AXWPKhwL7wnXXRX3sSTh3C8JjeQ5oG1M+muBisAw4O846l4Z1joj6+BpxXsaGx7APOC+mvGv4mXDgF3HU14vgH7QDX40pzwVmhOWvAxb1sWfguZsa7jMt6mNLw7n7O+DnwG3A6UBheOx3JVjfEKA8/F3+ckx52/B33oH5UR93hp67u8P974762NJw7q4A5gOX1LDu1vDz40BBHHVG+tmL/KRq0ZIpS5IuiotoBglFss8d0Bk4HNYxvIb1d4XrXo36WBt5ns4Ij6MU6FfD+v8O18+Js96mkFC8Hh7DD2tY9zfhumKgYwPruy/c5881rGtPcBfMgWuiPvYMPHfNJqGo4dinNfKi+JFw/z/VsK4fwRcGDpwe9bFm4LlrNglFA85Fxf+C5+LYJ9LPnvpQiEgmGA20BDa5+/Ia1s8OHy80s17pCyvpxoWPy919Yw3rK45zTKJ9BrKRmZ0InB++nF11vbsvAzYDrQg+Kw1Rca5rqm8/sCh8eWNcwWaYFJ07SYCZtQQq2r7X9LPYCFT8fRtXdb1IjNXhY5+GbJwJnz31oRBJjdvNrAvB79hW4EV3fynimDLZkPDxzZpWuvt6M/sC6AKcS3BOs1GdxxlT3g44BVgbZ/3jzGws0Iag7ewrwLPuXh5nPelWcV6+cPcNtWzzJsE/1yEE/SJqZWYdgJNj9qutvskx752tknruqjjZzP4D6EbQJ+NdYJE3jfb/qXAqQfMSqPtzdwnZ/7lLpfPM7F6Cv/d7CC6un3D3fdGGlVanhI/bGrh95J89JRQiqfFvVQvM7A3gNm8inUCT7KTwcVMd22wh+AdzUh3bZLo6j9Pd95rZXuC4cNt4E4pv1lD2oZlNcvc34qwrnRry899cZdu69I95Xlud8dSXyZJ97mIND5dYxWZ2t7v/LM66moOK87u7jovfpvK5S6Ux4RJrj5l9090LowgoncysB0GzQwgGeGmIyD97avIkklxLCDqonUzwLfFJQAHBP/vzgaVNcbjKJOgQPh6oY5uKUbOOS3EsqZSq43wZ+ApwGsHdjd4Et7XfI/jm6jkzGxRfqGmV7PPSIeZ5bXU2hc8TpOYz9SnwU+ACgkEXjiP4+1VI0HTqXjP7QfyhNnnN5e9YqnxMMBrREIIvj7oQ9AFaTDCq4HQzy48uvNQzszxgJsHxrgH+2MBdI//s6Q6FZB0zuw+4PoFd/y5sT5wy7v71KkVFQJGZLQFWEnxz+gPgn1IZR20y+dxlukw+d+7+oypFB4FPzOwpgmTjfOAegtGAROrk7k8TDNsc601gipm9DfwS+Dcze8jdP0t7gNIkufuMGoqXE/Qp+w3wj8CvzWyeu5ekN7q0+QMwEtgJ3JxNx6mEQrJRL4JvYuMV2YRC7v5FOE78/QS3cv8polAy9dxV3KJt14AY9qY4ltok49yl9Tjd/bCZ/ZRgqNpRZtbC3Y80tt4USPZ5ib3l346ax66P+vOULOn+3XmAYMjorsDVBEPwSiAb/o5lq7uBrxHcMbuA4IuSJsXMHgD+FtgFXOXuH8axe+SfPTV5kqzj7pPc3RJYqn7jlm5/DR8bNZt0Y2TwuSsKH/vWsU3FeSuqY5uUSdK5q4i9xuM0s+M4dju6qKZtElDxuWtFcBGYiYrCx7pGNKlYV1THNhViR9Cq7TMVT32ZrCh8TNa5q5O7lwHrwpeR/S3LUEXhY6dwYICaNJXPXVq5+xfA9vBlk/vcmdkvCfrA7QaudvfVde9RTVH4GNlnTwmFSPocHz42p5EqGmpV+DisppVmNoCgPS0cG04vG9V5nDHlB4B4vp2qy/ExzzP1s1fxMz3ezGrrMFhxblbVsv4od98LVAx+UN+5rre+DJfUc9dA+ltWsw8ImhtC0//cpZWZ5RL0K4Am9rkLm9N+m+BO6tXuXtsoTXWJ/LOnhEIkfSaEj69HGkVmehIoAfqaWdVRZSDo6A7wmrtn65CxEDQ9AhhuZjV9c15xnE8ksWlSxefur+H8CxnH3bcAFaNQ3VZ1vZn9DcG3a4cJPisN8Xgd9bXn2Cgyj8UVbIZJ0bmrlZmdR9DRH/S3rJKwvfuS8GVNP4t+wMXhy8errpc6XU8wLKpT+7CoWSccHvc7BMnEVYmOxpcJnz0lFCJxMrPnzex9MxtXpfwGMxtaw/Ydwv4TFR16f5WGMDNSbefO3XcBvw9fPmhmx8fscx7wvfDlT9MTaWq4+3vAQiAXeMjM2lSsM7MvEwwVWE7QgboSMysMz903qpRfbmYjzMyqlLc0s38l6MgIQUfaTPaf4eO/hj9zAMLPwoPhy9+5+56YdePCc/J8DfXdT/CN3ZVm9pWYfXLD+joRXIg/m8yDiEjSzp2ZtTWzr9fUbMLMLuXYMJbL3L1ZJhRm9o3w3NU0hOm9BBe9t5vZqJh92gIPEfzuP+ru76cn2sxS27kzs75mNsnMWtewz1iCmaMBZrn7p2kINeXCOV6+R9DMqUHJRCZ/9tQpW5otM/sRx2aWjLXIzCpGVljl7l+rsn4gwTT2HauUXw58y8w2EQz3tpugI++5QGegFLjT3Z9LygFEKAXnDoLRr74EXASsM7O/EHQwGwm0AH7l7ouTEX/EvgqcAVwJfGxmLxNMHHYZYMC33P2dGvbrS9ApvGo/iHOAXwOfmdlbBKODnACcDXQPt/mFuz+U5ONIKndfEI7k8k3gtfBC9wDBz78TwWgvVUez6khwTqpdhLj7VjObSjCR23+Z2d8StB0+HxhAMPHfbe7uqTiedEryuWsJ/A74pZmtJhjyOo/grsRZ4TZrgFuSfyTpFyZgD8YUDQwf/97MrospH+fuFZOMdSU4d9UubN19lZn9C8EXR0+a2YsEbf8vAXoSNE35h+QeRTSSfO66EHTw/334ufuEYOj1Mzg2ydsLwB3JO4LomNn1wA/Dlx8BX6/ynVCFHe5+Z8zrjP3sKaGQ5mwgwWgRVcXOIlkcR30LCEZROI+grWIXgmY8m4C5wIPuviahSDNPss8d7n7QzEYQtCXNB0YTnL9XCb5dnZdQpBnG3beb2TCCkXJuAm4guPh7huDCv6Zv2+vyIsHdnaEESUQXgrscW8M6/+juryQp/JRy92+Z2XLg6wS351sQjE1/L/DreIdQdPd5ZraeIFmtmCF2G/D/gJ80pSFPk3juDgI/IfgbdjpwJsGF3S7gOWAeMC2bhrOsx3HU/LesN5U7/7ZqaIXu/mszWwP8C8GXJO0I/g/cA9zThGZ8Tua52wz8jCDhP5ng/2hLYAfBPBSzgbnuXt6YgDNIl5jnw6i938NG4M5a1lUT5WfPmsCXMyIiIiIiEhH1oRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRARERERkYQpoRAREZGsYGZDzewFMztkZlvN7B4zaxF1XCLNnbl71DGIiIiI1MnMBgOvAu2qrJrn7rdEEJKIhHSHQkRERLLBTwiSiUJgOHAbsA0Yb2YXRRmYSHOXF3UAIiIiIg1wMbAOuN3dy4FXzKwEmA9cRHD3QkQioDsUIiIikg0OA/vDZKLC7vDxYPrDEZEKSihERJoxM5tqZh4u/Ru6rqmK8pjN7O6K925kPfUeg5n1NbM/mtnHZlYcs/3Yxrx3HTFNi3kPT/AcPwsMMbPvmFkHMzsT+AVQBjxTy/uOqOV97270QYnIUWryJCJSDzMbAbxQy+pDwOfAauAR4BF3L01PZCLxM7O+wEqga9SxxOku4HLgvnABKAe+7e4bIotKRHSHQkSkkdoAfYEbgFkE7bp7RBtS5muOdz8yyF0EyUQp8D2C/geDw+V5SOnPZ2vMew0GPmnoju6+DfiwSvHD7v5AHbu9UeX9RCQFdIdCRCQ+vwcejHndHhgG/AvQHzgfWGhmF3qWj8vt7tOAaRGHIXFqwM/tyvBxgbvfV8d2qXDE3d9NZEczuxq4Jnx5gGDEp1Pq2sfdDwBH38/MEnlrEamH7lCIiMRnu7u/G7O85u6/A84DPgq3+RJwXXQhitTpxPCx6rf9GcvMcoCfhy+fA54In58ZrhORCOmXUEQkCdx9F3BPTNGoqGIRqUfL8PFIpFHEZwpwNuDAd4D3wvK2wMCoghKRgBIKEZHkeT3meb+KJ1VH7zGzjmb2IzNbbWa7w3VTa6rQzC43s+lmtt7MDprZXjNbY2Y/N7Ne9QVkZp3N7F4ze9/MDpnZdjN7zszGN2DfBrejN7PhZvbfZvZBGGOJmW0xs8Vm9nUz6xRuNyI8D/8bs/uGGkbhGZFp5yMeZtYrfJ9VZrbHzI6Y2WdhrHPCc3tcPXW0Dkc0WmVm+8LldTP7hpnV2mS5pp9bbFnMpv9e5ZxPa+zPJxXMrA3BpHYAs9z9LWKaMREkGiISIfWhEBFJnthvfHNr2sDMTiEY/rJ/XRWZWWuCi7oJNaw+K1zuMLOJ7v5EDdtgZoMImofEXmi3BkYCI83sf4GX6oqjPuHF3kPAxBpWnxgu1wInAHc34n2y4nyE73MJsBiomjB0C5ezCI5jR7hdTXV0B54Gzq2y6vxwudrMxlaZk6Gp+jbB56gY+GFY9l7M+sHAo+kOSkSOUUIhIpI8saPIbK1lm/kEF0e/BRYBuwg6lm6s2MCCnqPzCS7EIWgv/giwnmCYzC8RdALvC8w3s+Hu/mbsm4Tffj/DsYvnucB0YDtwKsFF2u0EF7cJCduuLwSuCovWEXRYf5NgorGeBLMb3xKzW8WoOzcA/xGWXUP183V0GNBsOR/h+7QCHiZIJvYRdOJ/IXyflsBJBOdkXD1VPQacAfyG4Hi/AE4DfgQMAsYAXwH+2MDQFhD8XADWhI9VBxjYRTBRXFw/n1Qys24EI1EB/NbdN4XP1xMkGK3R6E0i0XN3LVq0aNFSxwKMIGi77cDdtWyTB7was93kmHV3x5SXAVfX835fCbctAUbVsk1ngmYfDiyrYf3PY97z+zWsb0Fwge0xS/8q20ytbV24/psx6x8DWtUSaw5wYjx1Z+L5aOBn5YqY/a+rY7s84LgqZbGfkxJgRA37dQE+Dbd5u5a66/u51flZjvfn08DzMi2sqyjO/R4M99sJdKqybnW4bl0c9dV77Fq0aIl/UR8KEZFGMLN2ZnYZ8GfgwrB4I8E36DWZ5u7P1lGfcewb2d+4+9M1bedBJ/DvhC+Hh02pKupoCfxt+PId4N4a9j8SbpNQx9zw7kTF+28BCtz9cC2xlrt7g+cbqPI+WXE+YsTOQVJr8yl3L3X3vXXU81t3X1rDfl9wrH/DYDPrmFCUWcDMTiNIJgF+6u67q2xS0Y9igJm1TVtgIlKNEgoRkfhU6sgK7AeWEtzFgKBpy9jaLq4JJr+ryxkcG7Vmfj3bxl6wXhTzfCjBN/YA0929xvkw3H0LQX+ORJwL9A6f/8nd9ydYT32y5XxU2Bbz/PZG1FPX52Rl+GgETaiaqp8R3MkpAn5Xw/qKfhQ5NLKpmog0jhIKEZHk2EDQrGawB6PQ1OadeuoZFvP81RpG16mazFSI/WY8tk35G/W83+v1rK/NkJjnLydYR0Nky/mosIygfT/A/eGoTN+3YBSslnXtWMX7daz7IuZ5h7gjzAJmdilBPw6AH7p7SQ2bVe2YLSIRUadsEZH4xHZkdYKOoTvcfU8D999Vz/puCcYV2+SjS8zz7fXs91mC79c15vm2WrdqvGw5H0DQdMrMxhDcTRnEsVGZAA6Z2UtAITDX3cvqqOdgHW8TO7JTjaOJZbOwmdsvwpcrgTm1bBqbUGjoWJEIKaEQEYnPdnd/t/7NalbXRWQo9gJxDEFzj4ao7UK5xuY9WSTrzoe7rzWzwQTxjgEuBU4G2hCMmHQN8G0zG+3u9SU4zdGtHEvChgLlQY5RJ92hEImQEgoRkcyyM+b57gSTl9i7IN2BD+vYtnsC9UMwh0KFntTdRKcxsuV8VBImjgvCBTPrSTB7+tcJLpKHEgz5Wt/wsc1KOOzufyawqxIKkQgpoRARySyrY54PJ2iTH681Mc/Pp+4+DufXsa4uq2KeX0ow10I8GnqnIFvOR53cfRvwv2Y2E3gNOA+4zszauPuhVLxnI0V1Z+sbBB3NnSD5qq+J4FSCOz5dzaxneJ5FJM3UKVtEJLOsIhiGFeCr4QzR8VrJsQuxyVZLexEzOxG4OoH6Ad4GNofP/87M2se5f3HM81Z1bJct56NBwuFpXwxf5gGdUvl+jdDQn0/SmFlnjs2EvcDdf+/uD9e1EMx8XkH9KEQiooRCRCSDuHs5x5p8DAAKw2YgNTKz48zsG1XqOMyxuQrO5dj8DLH75QF/Ipi9OdE4fx6+7B3GWWNdZpZjZr2qFMd+kzyQWmTL+Yip5xIzO7mO9S2By8KX+4HPG/N+KdSgn0+S/YhgeF8nmOSvIWKbr6nZk0hE1ORJRCTz/AG4iqB9/XjgPDP7I8GQpnuA44DTCea+uJ7g2+Sq4/T/X+AWgov9n5nZuQSjC20HTgW+TdC8500qD80aj/9H0Om4ItY1ZvZgWOdBgqFbLwQmArOpfJG4Ooy7NfATMztCMCFgxQhGn8Q0BcqW8wEwEviRmb0MLCEYJvhzgg7ZpwL/QNDcCeAhdy9txHulUjw/n0Yzs5MImjgBPOru9Q2vXCE2odAdCpGIKKEQEckw7u5mdivwAMEF6EDgvjp2qTZSkLvvMbNRBE1CehBc1E+sstk0guY3/0sC3L3czMYC04GbCS6Y72/gvvvM7DfAdwkusKtOKHc5wYSBWXM+YuQQ3IW4rI5tFgLfb+T7pEw8P58kuYfg7lA5Db87AfAxUEYwGpjuUIhERE2eREQykLsfcfevAecAvyXoWLyH4OJpD/AW8BDBhfygWup4DziT4OJ7HXCYYHSmF4Db3L0xMzlXvMdBdx8PXAHMIJjg7xBQQtDH4gng74Ff1rD7vwJfIegk/UV4bLW9T1acD4L5E24imK/kNWATwTf9xQRD3j4CXOfuYzO0M3asBv98GsPMvkRw9whgXvhzapCwT8qG8OWgsOmaiKSZuWf7EOUiIiKSycxsGjAF2Oju/SOMo+Ki58fufndUcYg0NcrkRUREJF1amNlZMa8/CO8ypISZtSMYhlZEUkgJhYiIiKRLLyrPC3ISDZ/9PBHnE/8cKSISJ/WhEBERERGRhKkPhYiIiIiIJEx3KEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGFKKEREREREJGH/H4XGUEnlBwqSAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAMECAYAAADKBVE1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAB7CAAAewgFu0HU+AACziElEQVR4nOzdd5yU1dn/8c+1hd57FQQUUHoVFcGKCHaRIiyoSSzR5HlMffIkT0wxMcnPmKZJ1CgsRVCKKChYELEASpNelCILLL2zfc/vj3sWZrbO7s7uPbv7fb9e85rdc5/7zDWzM7PXnDnFnHOIiIiIiEjlEON3ACIiIiIiEjlK8EVEREREKhEl+CIiIiIilYgSfBERERGRSkQJvoiIiIhIJaIEX0RERESkElGCLyIiIiJSiSjBFxERERGpRJTgi4iIiIhUIkrwRUREREQqESX4IiIiIiKViBJ8EREREZFKRAm+iIiIiEglogRfRERERKQSUYIvIiIiIlKJKMEXEREREalElOCLiIiIiFQiSvBFRERERCoRJfgiIiIiIpWIEnwRkWIys6Fm5gKXpX7HU5mY2eSgx3ZSAXWeDKrzZPlGGB4z2x0UY3u/4xGPmY0ys7fMbJ+ZpVXV13E4z08zWxpUZ2i5BiilpgRfKoxcbzZPFvPcJ0vzRm5m04LOd2b2kxK0sTtXG87MehazjdfzaWNSAXXb51M3+JJpZkfNbL2ZvWRmw8zMinu/RESinXmmA68BI4FWQDV/oxIpO0rwRYpgZnWBO3MVT4xQ8wnFiKMhcGuEbhcgFmgEdAceBBYBK83skgjehkiFp974SmFc4JLjc2Ay8FzgMs+HmETKTJzfAYhUAKOAWrnKuppZf+fcF6Vse5yZ/dg5lxVG3dFA9VLcViJwOuj3OKANMBioFyjrDywzsyucc3tKcVsiItFkQtDPv3TO/dq3SETKgRJ8kaIF99anADWDykua4G8GLgNaADcB74RxTk5vfzrwDdCpmLf5S+fc7tyFgW8ofg98N1DUAngeGFHM9kXKhXPuSeBJn8MolHOuvd8xSIg+QT//x7coKhDn3FC/Y5CS0xAdkUKY2cV4PdwADvhh0OGxZlbSMZxTg34ucphOYNjMoMCvbwNHS3i7eTjnTjvnHgNmBxXfYmadI3UbIiI+axj08wHfohApJ0rwRQqXAORMPP0IeAE4HPi9Ed5krZJYB6wP/Hy7mdUrpG5OHDmmlPA2i/JUrt+vL6PbEREpb+dHLDjnsv0MRKQ8KMEXKUBgRZngxHqqcy4TmBlUVprJtomB65p44/wLi2N84NejwMJS3GZhvgTOBv3eIVcceZaGDKxMcZeZvWlme8ws1cySzexdM0swsyLfY4JX9gkq62lmfzWzjWZ2LHD8jQLOb2xmPzCz98xsbyCGE2a22cyeM7N+xXkQzOwSM/uLmW01s7OB219nZr82szbFaasYt5lnacjA/fqJmX1uZofNLMXMvjazF8ysdxhtTgpqc3KgLNbMxpjZfDPbGWjTmdkdBbTR38yeDdz/w2aWHvj7fhSIrWF+5xUS0x2B285ZojAp8HebYGZhDxm1EiyTaWY9zOxpM1sZuA/pZnbGzLaZ2Swze9DM6gfVP78KFdAuqKldlv+qVENz3V6xJuaaWbvAc2yFmR0MxHcw8PuvzKxtGG3ku3yrmV1nZjMDf/NU81bPWmZmj5lZfNGPHphZFzP7YyCeI4H4Us3skJmtNrNXzGxicZ8TYdzuMDN72cy2m9mpwHN2j5nNCzzHC4w/+G+QqzzP36+EsRX0eN9iZq+a2Y7Ac8yZ2X/lOjc+cN/+aGYfmtn+wOOZEnhdvGNm/2VmdYoZU3Uze9zMPrbQ940ZZnZtMdsqcpnMcOrkqh/Wa9c8dwTi3hb422eZ956828yWmNkfzOxaC+P/TJXknNNFlwpxAZbiDZNxwJPFPPfJoHOXhnnO4KBzUoB6gfL+QeXpQNMw29sddN7NeGPdMwO/f1TIeUOCzvtHoGxFUNmkAs5rH1THAe3DiHFfUP0Xch0bGvwYAnWBN3LdRu7LZ0CzIm7zfP2gv1VmPm29kc+53wVOFBFDNt6Y22ph3P9HA3/rgto6jreSUchjEYHn9uTgvyfecKx9hcSRSRGvgUA7OfUn4y0L+HEB7d2R69yGeEO2Cntccx6Pe8K4f3XwPpgW1tbHeK+JkMcijNdzUY9DA7wP5dlh3J/kQl4/RV2GFvJ6L/S1B/xvEc87Fzj+kyLaCXle4i0D+UIR7a4GmhTR7pPk/5rM7zKttK+HwG02A94P4/a2A/0KaGN3mDG7EsaY+/GuD8wt4Db+K+i8tsCRMGM7AtwYZjxdga1FtPdPID6c5yeh/3OHlrROcV+7QHO8/x3hvvZuiMRzrrJdNMlWpGATg36e75w7BeCc+8LMtgJd8N4oxwF/LW7jzrlkM3sPL9kfbGbtXT6TYHPFkZjP8YgwM8NLhnKcLOKUycDteG+wn+NNHK4OXImXHIGXqH5gZlflPH5FxPAj4JeBX78OtHsu0F5Grrp/Ab4fVHQEWA4kAzWA3kA3vCFWDwCtzGyEK+DreTN7CG+5vBwZeP+89uANxxoauJ4N/Kyo+1IK7YA/4yXZZ4AlwEG8BP1avBWdYoFfmlmMc+7/wmizOvAm0BcvUfsM7/GtTujkQ8ysReA2uwYVb8L7hucMXuI1GGiM93x5zcwmOOem53fDgR7WhcA1QcXJwDK8VZ06AVcHLvOAnWHcn7CYWavAfQmeT3IC+BRvHHY8cBHe41IP73mT4xQXng8JeB9oIe9qVDn2lTDGf3Bhgjt4j/GHeI9RC7y/eZ1AbE+bWQvn3H+H2fwLeO8f2cBKvOQvBriCC49JH7z7dEsB8X2fC69J8F5nK/AeP4f3muiC93yJDTOuQplZc7y/Uceg4q8D9yENb4GCgYHyS4APzexm59ynuZqagvc8hdDH+Dkiz4BpeMM2HbAK7z3R8N6HXFDd2kFxHcd7fe3B+9tXAy7G+xvVCNR728yGOOc+K/DGzdoBHwAtg4o3AWsCt90nEMfDeO+pUcnMYvHeL/oGFW8MXE7gPSYtgJ6E3lfJze9PGLroEu6FcuzBxxs2czLonBG5jv8s6NiaMGPYHXTOzYGysUFlvyggjlOB41uCyiPeg4+XEAfXfzTX8aFBx9IC1zvJp/cM+Bbetxs59f9dyO0G32YG3pv4HfnUqx708wNB55wM3F58PudcCyQF1f1xATFcQmgP6lKgTe7bB57Ndf/Dej6F8dyYnM9jO43At0ZB9RoCc4LqZgFXFtDmpFyPa879yvM8yHls8ZK/JUHnrQR651O/Bl7Sl9Mrfga4uIA4fhHUXjbeayc2V51L8eal5H5sC3puPxlUJ9/3Arwx158E1TuHl+Tl9zyphvfNzLwwXruFvo6Kcw5wb67n/yv5/M3r4U3KD653VwHtDQ2qk8qFD99dctUzvA/HwW1eU8BjeDiozk/ze/wCdRsB91PAa6yYr4e3g27zDDAmnzr98JL+nHrfAA0KafP8fS1tfAU83jmvsfVA94JeY4Gf2wF/AwYAMQW0XQ/4f0HtbyuobqB+8LcdJ4CR+dQZDhwL1Al+fy7o+bk0qM7QktbJVf/JoPp5Xrtc6DRywH5gYCFtXQ48DQyI1N+0Ml18D0AXXcK95Hoj+Rz4RzEunweduzSM2xoXVP8QEJfreDtCv/LP84aeT5u7g+rnJPjBHyS2FxHH/wSVl0WC/3qu+p1zHR+a6/gZoGMh7T0YVDe7oLq52swin0QjV/26eL1eOclggf8AAvW7ciF5PwLUyqfO9KAYNuZXJ6jui7liLvL5FMZzY3KuNhdS8D/+OLwe3py6ywqoNylXm+uBmkXEMSGo/vIw6j8ZVP+f+RyvjzevI6fOLwtpqyneP/TgmAt6bgff7pMF1PlWUJ10YHAp/j67w30dhXsO3oepnUF1XgOsgLaM0OFwX+X3/CDva3Q7UKeQGINf8/n9/boFHf+ktM/zMB+3a3PdhxGF1G1P6BC9/yuk7vk2Ixhr7sf7AEUMdyrBbfwzqP3hBdS5MahONnBtIe0NJu9wtXyf0/iT4Ad/qPlWeTznKutFExOkouqP1xsX7qV/MdufGPTzq86bXHue8zaBWlZA/bA551Lw/skCXGJmg3JVyZnkm43XoxtxZlYnMEzgnqDid5xz24o49c/Oua8LOuic+w/e+F7wEpRvhRHObOfcsiLqPMCFoUTPO+dWFlbZObeFCysPNcYbEnWemTUA7g4q+rFzrrCvsH9M6GTkSHPA91wBQ4kCz8XvBRUNtvCWNP1J4PlWmCeCfn44jPpP4yVY4C0bm/t/yjgubBKXhLffQr6cc4cJHQpSWj8I+vnPzrmPI9h2JNyENxQDvA8g33OBDCe3QPl3uTBMrSNeUleUnzrnzhRy/OWgnwfkczx4da/D+RwvCw8F/fymc67ARQWcN6Txd0FFDweGGvrl1865IxFu85Wgn28ooE7we+ts59yHBTUWeB28GonAyogfz7lKSQm+SC5m1prQN9KpBVQNHg9/X2DsYEkEt3N+1R4zaxkUx1Ln3N4Stp/jV2b2j6DLv8zsTbzEK3h86qFcv4cTdzh1wlnBYWbRVULGCs8Ioz54w05yXJ3r2JVc2CH4ELCosIacc8fxxrOXlc8K++AUiGEDsDaoqKjH9jjwbmEVAs+3XoFfNzvnviyiTZxzqXg9/eD11nfLVSU4rlnOufQimpyJl+yWSmA8cpegon+Uts0ycF3Qz28755ILq+yc20foc7Oov3kq8FYRdYKfQ+3zOR78nnOtmV1aRHuREHy/Xi6w1gWv4HWAgDcm28/9O2YV94TAajpXm9l3zew35q3gdf59mtD34l4FNBP8mIXzvlxWSy1HQvBz7tul+L9a5WmSrVRUv3LebpZhCSzHFW7v4HgufPjd6pxbVUC92XiTtXIm/QzDGztaXB8Du/B680ab2fcDidB4Lkxai8Tk2iI31MLrcb/POberiHpHnHNfhdHe8qCfe5mZFdRLGXT7RQn+luM7ZhbOtyfBy1vmXm4weMnJzwvqOc9lOd78ibKwvOgq5+vlxF7UspnrnHNZRdQJflxrBpKLcARPhGzLhf0dcsdV5P1yzp02s43kmvhbAlcE/bzDOZdUyvbKQvBjU+DkyVw+xZsrAEU/RtuccxlF1AneMC/PXhzOub1mtgLv8awPrDazqXiToT8t4puuYgt0rjQLKirycXHOHTaz7Vz4QNcHbzJxedvlnDsWbmUzq4k3H+VhoEmYp+WpF3jMmgYVrQijnZwhnn5+21GQ2XjDeGLwdlPfaGYv4+32vqmI/x8SRAm+SF7BCWNBvfc4506Z2XxgdNB5xU7wnXPOzKbhTUZsiPcPfA7eeGjwhoPMKW67YcjCm8CbBHyB98a6KMw30G/CvI3getXxxs8XtppOoV/JBtaErhtUFM6wn9xyr9Md/M+xJPcr0koSQ9MCa3nC+aq7VdDPFxPetzi5ReqxLW2C3zzo54ityhNhwY/NnjDP2R30c1FJYVGrYOGcywga0VJQPvAg3jdgzfFW83kkcMk0s3V4QxUXAx+E8SGyKMGPSUpg2FY4dnMhwQ83WY60sIeTmLdXwBIK7pEvSN18yoIfs3PhDBEK/O86SeiqaVHBObfFzH4M/AnvA0gX4I+By3Ez+wxv08n5zrnt/kUa/TRERySImfXnwvKADm/yZWGCPwDcFhjPXRIhw3TM28ioe+D3uUWMow3Xxc45C7rEOecaOed6OOcedM69U4zekXB77nKPVc/vH9R5YYz5rh/m7RYmdyITvJFMSe9XJJUkhkIfV7xJxkWpTI9t8OMRiddOWQh+bMK9z8X5m0ekp9M5txlvScK/E/qhIQ5vJZsn8BL8PWZWkg/cwUrymOSuW9TjUlbCeY3leI4LyX068BLe6jGX4sUfl/M+zYV5GpB/zlaS1xiU7XtYqTjnnsEbdvQBoc/jhni9+n8EtpnZ+2bWPZ8mBPXgi+QW3HtvwO5izNmqgdeb/+/i3qhz7qtAz8SVeEuZBa+zXWZr35dCraKrAN56z8HyWz+8OHL/U2oUGBNfGsEJYEnvVySVJIbSPq4Q+ti+6Zy7PQJtnuHCB4fyfGyDH49i7QRajoKfd+He50j/zcPinDsIfC+wT8UVeCuxXAlcxYWhPa2BF82sh3Pue/m3VKSSPCa565bb41ISgSE1YwK/ZuOtqFbgpFiK/sBSkvcvKNv3sMKE1bHsnPsI+CiwJ8IQvOfa1XgfjHLauB5YaWY3urx7IFR56sEXCTCzapR+XHWJVtMJyEnk44H7Aj8nETpBNFrkHsceTr00SvnP1zl3ItBOjhalaS8g+Kv1i8I8J9z7XxIliSESK3ccDPo5Eo8r+PfYBt+Xiwus5a+SPDbtg36O9GotRXLOpTnnPnLO/dY5dwvecJjhePsN5Hg88E1oSQQ/JjXNLNzhNu2Dfi73x6WYruPC2Pd3ikjuwVuSuTDBj1ktM2tcYM0AM6tLZL6xg9ANCMPpNC7W7TrnDjrnXnPOfd851xfvvem/uDB/pCYl6FSrCpTgi1wwEm+zFvB2+1wZ5uWLoDYGlWKliVmEJq8A08Oc9FnemppZx6KrhUzcXBehCVKfB/18VQTaC15JpH8+Sz3mJ/dyppF0RdFV8sSwJgK3G7zcaC8zi0QPX/BjW+T9CsyxyL0ST0kETzS81MzaFFgzPGUxsS/4sbkyzHOC60Xib14qzrkM59wivNW+NgYdurWAU4pqbx/eSlY5inxcAh8Cgt9zfX9cihA812VDGPWvKexg4DELTvLDef+4gshNsA2eU1XkhwsuDD0tEefcYefcX/GGNOW43Mw6lKbdykgJvsgFwb3v7zjnrgjzMoDQf27hrFaTR6B3OveydtE4PCfHhKKrhNQpqqcqXAuCfn4kAutef8aFD1bN8dYnL5CZ1QduK+VtFuYqMyu019nMLid0IurS0t6oc24nsCXwazW8yZWlFfw3H21m8UXUH82FJUtLLLBPxZagopJMGA6WGvRzUfchXMHfzN1iZs0KrAmYWSu83vL8zveVcy6N0GVYmxdUNwzBz5lJYdSfxIVcZj/ejq/RLLjDptAhNWZWi/D+nwQ/ZuG8L5fof1QBdgf93KuwioHncO5likskMCQneNWi0jznKiUl+CKAmTUl9J9ncTeVCq4/oRRJ52N4m3L1B/oEJrhFqycKS0TNbBIXNhhzwH8idLv/5sLmSn0oxuZIZtYk97rKgQ9WwasU/TGwhF1B/kDZjus24K8FPYcC8f8tqOgT51yklgX8Q9DPvy3OBDYzy29YzwwuTPxrC/ykkPMbA78O9/bC8Oegn39gZoNL0VbwcpKtS9FOsHfxlscF70PNXwqqGHgu/J0LHy6+Bt6PUBwFMrOGYX6jBaFDqw4VWKtowcMt7jSzYQVVDOx38L/B51aAZRSDV3W6pYh13p8hvMT1paCf7zWzAnv9zewqvA3oIiX4m7+xZlbYB/RnKeIDcrjDsgILWgS/D5fmOVcpKcEX8YzjwhvPaYreICa3V7nwNf5FhLepUx6B8YarApe1RZ/hm3S8yV/vmVmeJQ3N7H5C/1H/J8x184vknDsJ/HdQ0S/NbIqZ5TuO2TxXmdnzeEsw5pe8/5oLvfjdgYWByXDB7VQ3s/+Ht9NmqTdjKkQ63hCHyYGxssExNMR7ruVskuSA/4ngbU/jQs9wXeATM3soMD8lDzOrZ2b3mdlSvAQ0ROBv9cegol+b2U9yJzVmdgnwHt7whUg9tpO5sI56PLDIzB7N71sEM6tmZrea2bwC2gr+hm5UJIILDL37aVDRWDN7MTBMKTi2unibOd0VVPzjchq6dzuw3cx+aGbt86sQeF08Rq6dsEt6g4Ex6cHnzzazPI+5mfXF+5DTIFC0l9APvtFqCRc+9HYCpuRefS3wunoBb438Ile7cc69x4VefAPeMLNbctczs5vwNumLIXTsfGks4MLcqnbAS7k7SMyskZklAveSdxhqbq+Z2QIzuyfwDUYegffmGXjfNAJsL2pzwKpIq+iIeIKH58wNY7nGEM65b8zsYy6Ml5xIFH2FXgaW4309eiewyrzNcLbg9UQOAoLHQ24BfhjJG3fOTQ6MufxFoCgBbzfhdXib3JzB691pg/e1caETu5xz28zsCbzl68D7gLYzkLjuwVue7Vq8MabpeL2Gf4rcPQrxe+D7ePfpTjNbgtc71QIvsQ8eG/9759wneZsoGedclpndi5ds98ZbIeVfeN9qLAf24e2f0BBvx9CuXPg/UtBeDb8HbsSbL2HA08D3zewjvL9TJ7xVWWLxegO/JgI9jM65TDMbjfc6vARvOMRzwFNm9ilwIBB7O6Bv4L4WtHb8HLwPdgCPBpLLNYQuS/jP4iYZzrnXAr2tOUOIvoU3lOlDvInCzfBWCglO+v/inJtbnNsppY54z/U/mdk3eBuZ5fSWtsAbz90oqP5051y4G3cV5H68Tb064t3318xsB97zIx24DBjIhXHkZ4GxgW/joppz7nigo+D/AkX3AcPNbCXe66slMBTvdZ4JPEp4O88+iPe+3Bzv9bnQvE3j1uB1BPQGegTq/hm4m6In8IZzf86Z2W+48EF+PHBT4Dl8Cu+bnWvwXn8b8ZZU/UEhTeZscDUCSDezTcB2vNdmXbwOtEFc6KDOwnu/lNycc7roUiEueOOMXeDyZDHPfTLo3KW5jnUPOuaAG0oY37eD2jgD1Ml1fHfQ8ZtL+VisCGprUgF12ue6X+1LeZtDgx9DvITorVy3kfuyAmhRRLvn65cgpnvx/ikWFkPwZSVQvZD2Hscbb13Q+Sfwxt+HPBYReG5PDv574k0u3F9IHJnAb4toc1JQ/cnFjKcm8E+8Xr5wHtdzwP8U0l49vF7Zwtr4FC+5CXkswng9F/pegJd8zg3zfiQV0s6MIs4dWsjrvdDXHvDzIp53Dm+d9QIf4/xeo2H+rQt8/eH1ymeH+dhl4X2Aii/t6yFw2825sA56YZcdQP/S3M9SxFjsxztwXixe0l7Y/ToO3EHo+/juItq9HC8ZLqzdF/C+0Sry+Uno/9yhhdxuDPBiEbe7HG9425NBZXleuxT9PyX4chC4PVJ/z8p2UQ++SGjv/QFK3vM+G2+YQnW83pd78JKVSsl5uyHehnc/J+L1DjXHS4LX420SlujKcCiB83pA5+OtKz0Mb8x/U7xev7N4yf8W4GPgbVfEzofOub+b2WK8uRA3430DkIb39f8C4F/O+7ZmaJncoQtxfGZmPYHv4H1L0h7vPu3He34+75wrs9VCnPcN1iNm9ge8Hrnr8FYqaYz3z/wk3ljiL/GSsEXOuQJ3KA4cG25md+F98OiPl3gfwfv7TAemudCdVSN1X44Bd5m3dOM4vKSsDV4vZwreUrTrgEV4r+GC3If3HBiL961QE7y9LyIR42/NbCpeD/4wvKU9G+C9lnbi9Xq+5Jwryx2U84trtpm1xJt4fhXehlcduDAs5iReQvkJ3ms9YnOGnLf2/vVmdjPe5Our8b4xiMf7BmEt8AaB502kbrc8OG/H34lm9jrea3wg3vPxON4wwvnAy865/QUNjSqg3U1m1iPQ5mi8XWBr4f1f+wLvOfQeQCRfZ4H3+G8Hhrjl3J/GeHNXtuAN/Zsa5uv7NrxvG64PtNMV7/VaG++9+DDe/5e3gRmFve9UdRb4xCQiUqhAUvth4NePnHNDfQumkjGzyVz4oHm/c26yf9GIiEhFp0m2IiIiIiKViBJ8EREREZFKRAm+iIiIiEglogRfRERERKQSUYIvIiIiIlKJKMEXEREREalEtEymiIiIiEgloh58EREREZFKRAm+iIiIiEglogRfRERERKQSUYIvIiIiIlKJKMEXEREREalElOCLiIiIiFQicX4HIGXDzKoD3QO/HgayfAxHRERERPKKBZoGft7gnEuLRKNK8Cuv7sAXfgchIiIiImHpD6yKREMaoiMiIiIiUomoB7/yOpzzw+eff07Lli39jEVEREREgIyMDN5880327NnD6dOneemll3IOHS7svOJQgl95nR9z37JlS9q0aeNnLCIiIiICZGZm0rRpU06cOJH7UMTmS2qIjoiIiIhIOYmLi+Pee++lQ4cOZXcbZdayiIiIiIjkERcXx5gxYzhz5kyZtK8efBERERGRchYfH8+tt95aJm0rwRcRERERKQNnz54lNTW13G9XCb6IiIiISISdPn2aKVOmMG3aNNLSIrJ/VdiU4IuIiIiIRNCpU6eYMmUKhw8fZt++fUyfPp309PRyu30l+CIiIiIiEXLixAkmT57M0aNHz5ft3buXt99+u9xi0Co6IiIiIiIRcPz4caZMmcLJkydDyhs1asS1115bbnEowRcRERERKaWjR4+SmJjIqVOnQsqbNGlCQkICdevWLbdYlOCLiIiIiJTC4cOHSUxMzLOufbNmzZgwYQJ16tQp13iU4IuIiIiIlNDBgwdJTEzk3LlzIeUtWrRgwoQJ1KpVq9xjUoIvIiIiIlICBw4cYOrUqaSkpISUt2rVivHjx1OzZk1f4lKCLyIiIiJSTPv27WPatGl5NrJq06YN9913HzVq1PApMiX4IiIiIiLFsnfvXqZPn55nA6uLLrqIcePGUb16dZ8i8yjBFxEREREJk3OOd955J09y3759e8aOHUu1atV8iuwCbXQlIiIiIhImM2PMmDE0bNjwfFnHjh0ZN25cVCT3oARfRERERKRY6tWrR0JCAvXr1+eSSy5hzJgxxMfH+x3WeRqiIyIiIiJSTA0aNOCBBx6gdu3axMbG+h1OCCX4IiIiIiIlUK9ePb9DyJeG6IiIiIiI5GPjxo289dZbOOf8DqVY1IMvIiIiIpLLl19+yfz583HOYWaMGDECM/M7rLCoB19EREREJMjatWt54403zvfcr169mkWLFlWYnnz14IuIiIiIBKxatYqFCxf6HUapKMEXEREREQFWrlzJokWL8pQPGjSIG2+8scIM0VGCLyIiIiJV3qeffsr777+fp3zw4MFce+21FSa5ByX4IiIiIlLFLVu2jA8//DBP+dChQxkyZIgPEZWOEnwRERERqZKccyxdupRly5blOXb99ddz9dVX+xBV6SnBFxEREZEqxznHBx98wKeffprn2E033cSgQYN8iCoylOCLiIiISJXinGPx4sWsXLkyz7Hhw4czYMAAH6KKHCX4IiIiIlKlvP/++/km9yNHjqRv374+RBRZ2uhKRERERKqUzp07Ex8fH1J2++23V4rkHpTgi4iIiEgVc9FFFzF27Fji4uIwM+666y569erld1gRoyE6IiIiIlLlXHzxxYwZM4a0tDQuu+wyv8OJKCX4IiIiIlIldezY0e8QyoSG6IiIiIhIpZSZmcmOHTv8DqPcKcEXERERkUonIyODWbNmMWPGDNauXet3OOVKQ3REREREpFJJT09n5syZ7Nq1C4A333yT2NhYevTo4XNk5UM9+CIiIiJSaaSlpTFjxozzyX2Od955h9TUVJ+iKl/qwRcRERGRSiE1NZXp06eTlJQUUl69enXuu+8+atSo4VNk5UsJvoiIiIhUeCkpKUybNo39+/eHlNesWZMJEybQsmVLnyIrf0rwRURERKRCO3fuHFOnTiU5OTmkvFatWiQkJNC8eXOfIvOHEnwRERERqbDOnj1LYmIihw4dCimvU6cOCQkJNG3a1KfI/KMEX0REREQqpNOnT5OYmMiRI0dCyuvWrcvEiRNp3LixT5H5Swm+iIiIiFQ4p06dYsqUKRw7diykvH79+iQkJNCoUSOfIvOfEnwRERERqVBOnDhBYmIix48fDylv0KABEydOpEGDBv4EFiWU4IuIiIhIhbJ79+48yX2jRo2YOHEi9erV8ymq6KGNrkRERESkQunVqxfDhg07/3uTJk2YNGmSkvsA9eCLiIiISIVzxRVXkJWVxfr165kwYQJ16tTxO6SooQRfRERERCqkq666igEDBhAfH+93KFFFQ3REREREJGplZWUVelzJfV5K8EVEREQkKu3bt4+///3vJCUl+R1KhaIEX0RERESizt69e0lMTOTkyZNMmzaN/fv3+x1ShaEEX0RERESiyu7du5k6dSrp6ekApKWlMW3atDw71kr+NMlWRERERKLGzp07efXVV8nMzAwpb9WqFfXr1/cpqopFCb6IiIiIRIWvvvqKmTNn5plYe+mllzJq1Cji4pS6hkOPkoiIiIj4btu2bbz++ut5kvuuXbty9913Exsb61NkFY8SfBERERHx1ebNm5kzZw7Z2dkh5d26deOOO+5Qcl9MSvBFRERExDcbNmxg3rx5OOdCynv06MHtt99OTIzWhCkuJfgiIiIi4ot169bx5ptv5knue/fuzciRI5Xcl5ASfBEREREpd2vWrOGtt97KU96vXz9uueUWzMyHqCoHJfgiIiIiUq527dqVb3I/cOBAhg0bpuS+lPS9h4iIiIiUq3bt2tG9e/eQsiuvvFLJfYQowRcRERGRchUTE8Mdd9zBZZddBsDgwYO54YYblNxHiIboiIiIiEi5i4mJ4a677uKyyy7j8ssv9zucSkU9+CIiIiLii9jYWCX3ZUAJvoiIiIiUCeccn332GWfOnPE7lCpFCb6IiIiIRJxzjkWLFvHee++RmJjI2bNn/Q6pylCCLyIiIiIR5Zxj4cKFfP755wAcPnyYqVOncu7cOZ8jqxqU4IuIiIhIxGRnZ/Pmm2+yevXqkPJDhw7xzTff+BRV1aJVdEREREQkIrKzs5k/fz7r168PKTcz7rzzTrp06eJTZFVLuSX4ZvZ/5XE7zrlfl8ftiIiIiMgFWVlZzJs3j02bNoWUx8TEcPfdd59f817KXnn24D8JuHK4HSX4IiIiIuUoKyuL2bNns3Xr1pDy2NhYRo0aRefOnX2KrGryY4hOWW5RVh4fIEREREQkIDMzk9dff53t27eHlMfGxjJmzBg6derkU2RVlx8Jfjfn3OZINmhm3YD1RVYUERERkYjJyMhg1qxZfP311yHlcXFxjB07lg4dOvgUWdVWWSbZqudeREREpBylp6fz6quvsnv37pDy+Ph4xo0bR/v27X2JSypPgi8iIiIi5SQtLY0ZM2bkWfayWrVq3HfffVx00UU+RSZQvgn+tYHrXWXQ9q6g9kVERESkDGVnZ5Oenh5SVqNGDcaPH0/r1q19ikpylNtGV865jwKXlDJo+1xO+5FuW0RERERC1axZkwkTJtCsWbPzvyckJCi5jxLaybaMmVm8mV1vZn8ysy/M7ISZZZhZspm9aWYj/I5RREREpLhq1apFQkIC7du3Z+LEibRs2dLvkCRAY/DL3hDgvcDPycAnwFngMuBW4FYzewF42DmnycIiIiJSYdSuXZuEhATMynIVdCmuCt2Db2YVIf5sYA5wjXOupXNupHNutHOuOzAGyAK+A0zwM0gRERGR/Jw5c4asrKwCjyu5jz4VIUEGwMyam9mNZvaEmU02s9XAab/jKopzbolz7h7n3Mf5HJsFTA78mlCugYmIiIgU4eTJk7zyyivMnj270CRfokuZDtExs4HAIOAcsNg5tyeMc2oA3YDuQI/AdXegSe6qVI7179cGrtv6GoWIiIhIkBMnTjBlyhROnDjBsWPHmDt3LnfffTcxMRWmf7jKKpME38zigGnAKLxEHCDTzJ5wzv0jqF5HQpP4HkAH8n6zkN93P1nAzgiH7odLAtcHinOSmbUpokqLkoUjIiIiVd2xY8eYMmUKp06dOl+2efNmGjZsyA033OBjZBKOsurB/zVwL17S+jhwEvh/wLOBXv1LgMuBWrnOK2gQlwPeBd4HtgcuXzvnMiMfevkxsxbApMCvc4p5+t7IRiMiIiICR44cITExkdOnQ0dCN23alCuuuMKnqKQ4yirBn4iXlD/hnJsLYGbjgQ3AOPJP5FOBrcBGYFPgshn4KnD8Fefca2UUb7kL+pajPt7j8m9/IxIREZGq7tChQyQmJnL27NmQ8ubNmzNhwgRq167tU2RSHGWV4DcMXAePuQ/++QzwFl4Cn5PQ73TOZeduqBLPzP4XcD1wFLjHOZdeRP3cihqz3wL4oiSBiYiISNWTnJzM1KlTOXfuXEh5y5YtGT9+PLVq5R54IdGqrBL8lcA1eMs/rgiUPRS4NqA23qTZt5xz68sohqhlZn8FHgSOAzc657YXtw3nXFIRt1HC6ERERKSq2b9/P1OnTiU1NTWkvHXr1owfP54aNWr4FJmURFlNg/4h3so5E81sq5mtAv4I7AIW4yX5NwBrAkteFjVhtNIws2eA7wEngJucc2sLP0NERESk7CQlJZGYmJgnuW/bti0TJkxQcl8BlUmC75xbjbc85lt4w3WaAa8AVznnhgM34w3NicHb4Gmbmf3ezOqVRTzRwsz+CDyBN+n4JufcKp9DEhERkSrsm2++YerUqaSlpYWUt2/fnvHjx1O9enWfIpPSKLOFTJ1zG51zdzjnmjvnLnLOfcs5lxw49i7QC2+Yyn6gJvBj4Gsz+35gAmqlYmZPAz/CS+5vdM5pfLyIiIj4ZteuXUybNo309NBpgB06dGDcuHFUq1bNp8iktHzbqcB5XsFbMvMXeBNvGwN/xuvRH+1XbJFmZr8FfoI3LEfJvYiIiPgqMzOT+fPnk5GREVLeqVMnxo4dS3x8vE+RSST4vhWZcy7VOfcU0AlvZZks4GJghpl97mtwEWBmtwH/G/j1K+C7gXkHuS//z8cwRUREpAqJi4tjzJgxIePrO3fuzOjRo4mLq3QDKaqcqPkLOucOA4+a2V/wJuTeBvQNqtLAh7AioVHQz/0Cl/zswZucLCIiIlLmWrRowYQJE0hMTKRjx47cddddxMbG+h2WRIA55/yOIV9mdg3e7rf98DbNcsA84FfOuY1+xlYRBFYm2guwd+9e2rSpMgsViYiISDEcOXKERo0aERPj+8COKicpKYm2bc9vbdS2qGXQwxW1f0nn3DLn3AC8nW9348V6F7DOzGaaWVc/4xMRERGpDJo0aaLkvpKJ+r+mc24m0BVvBZoTeDGPAtab2XQfQxMRERGJemvXrmXZsmV+hyHlKOoTfADnXLpz7hmgI/AXIAOIBcb4GZeIiIhINFu1ahVvvvkmH374IZ9++qnf4Ug5qRAJfg7n3Ann3BNAF+A1vHH5IiIiIpLLypUrWbhw4fnf33//fVasWOFjRFJeomYVneJwzu0GxphZf79jEREREYk2n332Ge+9916e8jNnzvgQjZS3ckvwzeyiwI/7nHNZkWgzZ8MoM4sFWgfKvolE2yIiIiIV0ccff8ySJUvylA8ZMoQhQ4b4EJGUt/Lswd8NZAM9gM0RbrsLsCHQfoX8VkJERESkNJxzfPTRR3z00Ud5jl177bVcc801PkQlfijvZNgqePsiIiIiUcc5x5IlS/jkk0/yHLvxxhu58sorfYhK/OJHb7cmxoqIiIhEiHOOd999N98JtDfffDMDBw70ISrxkx8J/rtmlhHhNuMj3J6IiIhI1HPO8c477/DFF1/kOTZixAj69evnQ1TiNz+G6LQu59sUERERqXSccyxYsIA1a9bkOXbbbbfRu3dvH6KSaFCeCf6UcrwtERERkUrtrbfeYu3atSFlZsYdd9xBjx49fIpKokG5JfjOufvL67ZEREREKrsOHTqwbt06nPOmN5oZd911F926dfM5MvFbhdrJVkREREQ83bp14/bbbwcgJiaGUaNGKbkXQGvGi4iIiFRYPXv2JDs7m9q1a3PppZf6HY5ECSX4IiIiIhWYJtNKbhqiIyIiIhLFMjIy2Lt3r99hSAWiBF9EREQkSqWnpzNjxgymTJnC119/7Xc4UkEowRcRERGJQmlpaUybNo3du3eTlZXFzJkz2bVrl99hSQWgBF9EREQkyqSmpjJ16tSQoTmZmZm88cYbZGZm+hiZVASaZCsiIiISRVJSUpg6dSoHDhwIKa9VqxZjx44lLk7pmxROzxARERGRKHH27FmmTp3KwYMHQ8pr165NQkICzZo18ykyqUiU4IuIiIhEgTNnzpCYmMjhw4dDyuvUqcPEiRNp0qSJT5FJRVNhEnwzqw40AA4757J9DkdEREQkYk6dOkViYiJHjx4NKa9Xrx4JCQk0btzYp8ikIvJ9kq2Z1TGzWwKXOvkcb2Jmc4BTwH7guJk9E0j4RURERCq0kydPMnny5DzJfYMGDZg0aZKSeym2aOjBvxt4BUgC2gcfMLMY4B2gD2CB4rrAfwXq3l1OMYqIiIhE3PHjx0lMTOTEiRMh5Q0bNmTixInUr1/fn8CkQvO9Bx8YFriel8/Qm9FA38DPa4BnA9cG3GFmN5dPiCIiIiKRdfToUSZPnpwnuW/cuDH333+/knspsWjowe8GOOCzfI4lBK5XA1c65zLNLB74GOgPTAQWlUuUIiIiIhG0adMmTp06FVLWtGlTEhISqFMnz6hlkbBFQw9+znpPIVuzBRL5a/CS/+ecc5kAzrkM4F94vfgDyjFOERERkYgZPHgwAwZcSGWaN2/OxIkTldxLqUVDD36jwHV6rvL+QE28BD93L/32wHWLMoxLREREpMyYGTfffDNZWVns37+fCRMmULNmTb/DkkogGhL8c3gTZ3Pv3HBN4Por59zBXMdSyjwqERERkTJmZowYMYL09HSqV9cCgRIZ0TBE5+vA9dBc5Xfi9d4vy+ecpoHrQ2UUk4iIiEjEZGcXvIWPmSm5l4iKhgT/Pbzx9I+a2fDAuviP4w3RAXgrn3N6BK73l0eAIiIiIiW1Z88e/vnPf3Ls2DG/Q5EqIhoS/L/ibWJVF1gAnAT+Eji2hfwT/BF4vftryyE+ERERkRLZtWsX06dP58iRI/mudy9SFnxP8J1zB4BbgWS8nvycy07gHuecC65vZh2BwYFf3y/HUEVERETC9tVXXzFjxgwyMjIAb8faxMREzpw543NkUtlFwyRbnHMfm9nFwFV4K+McAD7JWRozl5bAbwI/v1tOIYqIiIiEbfv27bz22mtkZWWFlDdr1owaNWr4FJVUFVGR4AM459KBD8Oo9wnwSdlHJCIiIlJ8W7ZsYfbs2Xkm1l522WXcddddxMbG+hSZVBVRk+CLiIiIVHSbNm1izpw55BphTPfu3bnjjjuIifF9dLRUAUrwRURERCJg/fr1vPHGG3mS+169enHrrbcquZdy43uCb2YXleZ859w3kYpFREREpCTWrl3Lm2++mae8T58+jBw5EjPzISqpqnxP8IFdpTjXER33QURERKqoVatWsXDhwjzl/fv3Z/jw4UrupdxFQ3KsZ72IiIhUSCtXrmTRokV5ygcNGsSNN96o5F58EQ0J/v1h1KkNXArcDbQGPgVeKsugRERERAqzadOmfJP7q6++muuuu07JvfjG9wTfOTcl3Lpm9iPgWeAR4FPn3E/LLDARERGRQlx66aW0a9eOPXv2nC8bMmQIQ4YMUXIvvqpQ07mdcxnOuceApcCPzGyYzyGJiIhIFRUfH8+4ceNo27YtANdddx1Dhw5Vci++870Hv4T+DVwLPA4s9jkWERERqaKqVavGfffdx7Zt2+jRo4ff4YgAFawHP8iOwHU/X6MQERGRKq969epK7iWqVNQEv36uaxEREZEy4ZxjxYoVpKen+x2KSFgqaoI/MXB9wNcoREREpFJzzvHWW2+xePFiXn31VTIyMvwOSaRIFSrBN7NLzOxfeAm+A972OSQRERGppLKzs5k/fz5r164FYPfu3cycOZPMzEyfIxMpnO+TbM1sZxjVYoAGQN2gskPAU2URk4iIiFRt2dnZzJs3j40bN4aU79q1i6SkJNq3b+9PYCJh8D3BB9qX4JzlwAPOOQ3RERERkYjKyspizpw5bNmyJaQ8JiaGUaNGKbmXqBcNCX44G11lA6eBXcBHzrl1ZRqRiIiIVEmZmZnMnj2bbdu2hZTHxsZy7733cumll/oUmUj4fE/wnXP3+x2DiIiISEZGBq+99hpfffVVSHlcXBxjxoyhY8eOPkUmUjy+J/giIiIifsvIyGDmzJns3Bk6NTA+Pp6xY8dy8cUX+xSZSPEpwRcREZEqLT09nRkzZrBnz56Q8mrVqjFu3DjatWvnU2QiJVNuCb6ZXZTzs3Pum/zKSyK4LREREZHiSEtLY/r06ezduzekvHr16owfP542bdr4FJlIyZVnD/6uwLXLdbu78qkbrtxtiYiIiIQlJSWF6dOns2/fvpDyGjVqMGHCBFq1auVTZCKlU57JsRWzXERERKTMpKWlcebMmZCyWrVqMWHCBFq0aOFTVCKlV54JfkGr5WgVHRERESl3DRo0ICEhgcmTJ3P69Glq165NQkICzZo18zs0kVIx55zfMUgZMLM2wF6AvXv3agyhiIhIAY4cOcLcuXO56667aNKkid/hSBWSlJRE27Ztc35t65xLikS7Gr8uIiIiVVqTJk349re/jZlGDUvlEON3ACIiIiJl7dy5cxQ2akHJvVQmSvBFRESkUjt+/DgvvPACixcvLjTJF6ksfFkHP5K0Dr6IiIgU5OjRoyQmJnLq1ClWrlxJbGwsN9xwg3rspVLzYx38SNI6+CIiIpKvw4cPk5iYGLIU5meffUb9+vUZMGCAj5GJlK1oWAdfREREJKIOHjxIYmIi586dCylv0aIF3bp18ykqkfIRDevg53gU6A9kAO8CnwMHA8eaB47dBMQDq4DnyyZMERERqcgOHDjA1KlTSUlJCSlv1aoV48ePp2bNmj5FJlI+yi3Bd85NKeiYmf0H6IeX2D/onNtXQL3WwIvAMGCwc+5bZRGriIiIVEz79u1j2rRppKamhpS3adOG++67jxo1avgUmUj58X0VHTO7B693fxUwoqDkHiBw7FZgNXC/md1bPlGKiIhItNu7dy9Tp07Nk9xfdNFFjB8/Xsm9VBm+J/jAQ3iTZf/snMsqqnKgzjN4Y/q/U8axiYiISAWwZ88epk6dSlpaWkh5+/btue+++6hevbpPkYmUv2hYgaZH4Hp7Mc7Jqds9wrGIiIhIBbNz505effVVMjMzQ8o7duzI6NGjiY+P9ykyEX9EQ4JfN3DdrBjn5NStW2gtERERqdS++uorZs2alSe5v+SSS7j33nuJi4uGVEekfEXDEJ09geuEYpyTU1ebXImIiFRRqampzJ49O09y36VLF0aPHq3kXqqsaEjw5+ONpx9jZj8uqrKZ/RAYizduf14ZxyYiIiJRqkaNGtxzzz3ExsaeL7v88svzlIlUNeac8zcAswbAJqBFoGg9MAX4AjiEl8jnrIM/AeiF94HgAHC5c+5EuQZcQZhZG2AveKsKtGnTxueIREREysb27duZNWsW3bp14/bbbycmJhr6L0WKlpSURNu2bXN+beucS4pEu74n+ABm1hVYDLTBS+gLrQ4kATc75zaXdWwVlRJ8ERGpSvbt20fLli2V3EuFUlYJflS8CpxzW4DL8Za/PIGXxOd3OQH8Geim5F5ERERytG7dWsm9SEDUzD5xzp0GfmRmPwP64i2B2Shw+DiwAVjtnEv3KUQRERHxyRdffEH16tXp0aNH0ZVFqrioSfBzOOcygBWBi4iIiFRxK1asYPHixZgZsbGxXH755X6HJBLV9F2WiIiIRK1PP/2UxYsXA+CcY86cOWzdutXnqESimxJ8ERERiUofffQR77//fkiZc45Dhw75FJFIxRBVQ3TMzPCWwewJNAFq4k2uLZBz7tdlH5mIiIiUF+ccH374IR9//HGeY9dffz1XX321D1GJVBxRk+Cb2UTgl0C7Yp6qBF9ERKSScM7x/vvv89lnn+U5dtNNNzFo0CAfohKpWKIiwTezp4CfUkRvfYALs56IiIhUIM45Fi9ezMqVK/McGz58OAMGDPAhKpGKx/cx+GY2EPifwK/v4Q3R6RP43QGxQFNgOPAmXnL/CdDSOed7/CIiIlJ6zjnefvvtfJP7kSNHKrkXKYZoSJAfCVzvAUY459YDGTkHneeoc26xc+4O4LvA1cAiM6tW7tGKiIhIRGVnZ/PWW2+xatWqPMduv/12+vbt60NUIhVXNCT4V+L11P/NOZdZVGXn3D+BOUAP4NEyjk1ERETKUHZ2NvPnz2ft2rUh5WbGXXfdRa9evfwJTKQCi4YEv2XgelNQWXbOD2YWn885U/GG6owuw7hERESkDDnnmDdvHuvXrw8pj4mJ4Z577qF79+4+RSZSsUVDgp+TwAcvansm6Oem+ZyTFLjuVCYRiYiISJkzM5o3bx5SFhMTw6hRo7jssst8ikqk4ouGBP9w4LpeUNlBICvwc9d8zsnp9a9bVkGJiIhI2bv66qsZOnQoALGxsYwZM4YuXbr4G5RIBRcNy2RuAloBXYCPAZxz6Wa2CeiONwzng1znTAhc7y+vIEVERKRsXHPNNQC0bduWDh06+ByNSMUXDQn+x8BNwLXAi0Hls/Am0j5gZgeA14DawCTgXryJue+Ua6QiIiIScWbGkCFD/A5DpNKIhiE6bwSuR5pZ8DCdvwK78WL8ObAeWA48FDh+HPh9+YQoIiIipZGWlsahQ4eKrigipeZ7gu+c24TXe38nQd8oOOfOBco/xVsxJ/iyEbjeOZeUp0ERERGJKqmpqUybNo3Jkydz8OBBv8MRqfSiYYgOzrmPCijfAww2s87A5Xjx7nDOrc2vvoiIiESXlJQUpk2bxv793rS5xMREJk2aRNOm+S2SJyKR4HsPvpklBC4DC6rjnNvmnJvrnHtNyb2IiEjFcO7cORITE88n9zllc+bMwTnnY2QilZvvCT4wGXgFaOdzHCIiIhIhZ8+eZcqUKSQnJ4eU16lTh7vvvhsz8ykykcovGobonMRbA3+H34GIiIhI6Z0+fZrExESOHDkSUl63bl0mTpxI48aNfYpMpGqIhh78XYHrhr5GISIiIqV26tQpJk+enCe5r1+/PpMmTVJyL1IOoiHBn4e3Ms6tfgciIiIiJXfixAkmT57MsWPHQsobNGjApEmTaNSokU+RiVQt0ZDg/xXYAzxiZtf7HYyIiIgU37Fjx5g8eTLHjx8PKW/UqBH3338/DRo08CcwkSrI9wTfOXcKuBHYCiwysxfMbKiZNTLNwBEREYl6R44cYfLkyZw8eTKkvEmTJkyaNIl69eoVcKaIlAXfJ9maWVbwr8CDgUvO8cJOd8453++DiIhIVXX48GESExM5c+ZMSHmzZs2YMGECderU8SkykaorGpLj3Bm8eu1FREQqiJUrV+ZJ7lu0aMGECROoVauWT1GJVG3RkOD/yu8AREREpGSGDx/OmTNn2LZtGwCtWrVi/Pjx1KxZ0+fIRKou3xN855wSfBERkQoqNjaWe+65h1mzZpGWlsa4ceOoUaOG32GJVGm+J/giIiJSscXFxTF69GiysrKoXr263+GIVHlK8EVERCQszrkCF7+Ii4sjLk5phUg08H2ZTBEREYl+O3fu5OWXXyYlJcXvUESkCErwRUREpFA7duxgxowZJCUlMXXqVFJTU/0OSUQKoQRfRERECrRt2zZmzZpFVpa3bc2BAweYNm0aaWlpPkcmIgXRYDkRERHJ1+bNm5kzZw7Z2dkh5Q0bNtR4e5EopleniIiI5LFhwwbmzZuHcy6kvEePHtx+++3ExGgQgEi00quzHJhZZzN73Mwmm9kGM8s0M2dmP/c7NhERkdzWrVuXb3Lfu3dvJfciFYB68MvHI8D3/Q5CRESkKGvWrOGtt97KU96vXz9uueWWApfJFJHooY/g5WMj8P+A+4CuwFR/wxEREcnriy++yDe5HzhwoJJ7kQpEPfjlwDn3UvDvZpZdUF0RERE/rFixgsWLF+cpv/LKK7nhhhuU3ItUIFGX4JtZR2AQ0AKoBTzvnDvib1QiIiKV1yeffMIHH3yQp3zw4MFce+21Su5FKpioSfDNrA/wF+CqXIdmA0eC6n0X+CVwErjMOZdRXjGKiIhUNqtWrco3uR86dChDhgzxISIRKa2oGINvZiOBT/GSewu65CcRqAl0AEaWS4BRyMzaFHbB+wZERESkUF27dqVJkyYhZTfccIOSe5EKzPcE38xaAq8C1YHNwHCgbkH1nXOngTcDvw4v8wCj194iLl/4F5qIiFQUtWvXJiEhgUaNGgEwbNgwrroq95fpIlKRRMMQnf8GagN7gMHOuRNAUeP9lgJjgb5lHJuIiEilV7duXRISEti1axe9evXyOxwRKaVoSPBvBhzwTE5yH4atgeuLyySiiqFtEcdboF58EREJU/369ZXci1QS0ZDgtwtcf16Mc04FrutEOJYKwzmXVNhxrXggIiLBsrOzWbt2Lb1799ZOtCKVXDS8wnM+ZBQnlvqB6zMRjkVERKTSyc7OZv78+SxYsID58+eTna3tWEQqs2hI8JMD1x2Kcc6AwPU3EY5FRESkUsnKymLu3LmsX78egPXr17NgwQKccz5HJiJlJRoS/I/xlsQcFU5lM6sGPIQ3bn9p2YUlIiJSsWVlZTF79mw2bdoUUr5+/XoOHjzoU1QiUtaiIcGfHLi+zcxuLKxiILlPBDriJfgvlm1okWFmfcxsRc4FGBE49FBweWDJUBERkVLLzMzktddeY+vWrSHlcXFxjBkzhhYttF2KSGXl+yRb59xSM5sFjAbeMrO/AnOCqrQ3swZ4m2B9B28ojwP+5ZzblLu9KFUPGJhPeZvAJUf18glHREQqs4yMDGbNmsXXX38dUh4XF8fYsWPp0KE4o2JFpKLxPcEPmIS3udUtwA8Dl5zBgW8F1ctZGmYu8P3yCq60nHNLKXhnXhERkYhJT0/n1VdfZffu3SHl8fHx3HfffbRr1y7/E0Wk0oiGITo459KccyPxxtbvxEuG87skAY865+5xzmX5Fa+IiEg0SktLY/r06XmS++rVqzNhwgQl9yJVRLT04APgnHsReNHMLgP6Ac2AWOAosBZY4zTtX0REJI/U1FSmT59OUlLoNik1atRg/PjxtG7d2qfIRKS8RVWCn8M5txnY7HccIiIiFUFKSgrTpk1j//79IeU1a9ZkwoQJtGypNRxEqhLfE3wzSwj8uM05t9LXYERERCqYc+fOMXXqVJKTk0PKa9WqRUJCAs2bN/cpMhHxSzSMwZ8MvAJoYKCIiEgxnTx5kuPHj4eU1alTh0mTJim5F6mioiHBPxm43uFrFCIiIhVQy5Ytue+++6hWrRoAdevWZdKkSTRt2tTnyETEL9GQ4O8KXDf0NQoREZEKqm3btowbN46mTZty//3307hxY79DEhEfRUOCPw9vCcxb/Q5ERESkomrXrh0PP/wwDRuqv0ykqouGBP+vwB7gETO73u9gREREolVaWlqhx2NiouHfuoj4zfd3AufcKeBGYCuwyMxeMLOhZtbIzLT7q4iICHDkyBGee+45Vq7UgnMiUrhoWCYzeEdaAx4MXHKOF3a6c875fh9ERETK0qFDh0hMTOTs2bMsWrSI2NhY+vXr53dYIhKlfO/Bx0vqcy65fw/nIiIiUmklJyczZcoUzp49e75s4cKFbNmyxceoRCSaRUPv96/8DkBERCQaHThwgKlTp5KSkhJS3rp1a9q3b+9PUCIS9XxP8J1zSvBFRERySUpKYtq0aXkm1rZt25b77ruP6tWr+xSZiEQ73xN8ERERCfXNN98wffp00tPTQ8rbtWvHuHHjzm9qJSKSHyX4IiIiUWT37t3MmDGDjIyMkPIOHTowZswY4uPjfYpMRCoK3xN8M7uoNOc7576JVCwiIiJ++vrrr5k5cyaZmZkh5Z06deLee+9Vci8iYfE9wQd2leJcR3TcBxERkVLZsWMHs2bNIisrK6S8c+fO3HPPPcTF6d+diIQnGt4ttNSliIhUaVu3buX1118nOzs7pLxr167cfffdxMbG+hSZiFRE0ZDg3x9GndrApcDdQGvgU+ClsgxKRESkPJw8eZLZs2fnSe67devGnXfeSUxMNGxZIyIVie8JvnNuSrh1zexHwLPAI8CnzrmflllgIiIi5aB+/foMHz6cBQsWnC/r2bMnt912m5J7ESmRCvXO4ZzLcM49BiwFfmRmw3wOSUREpNT69u3L8OHDAejduze33367knsRKTHfe/BL6N/AtcDjwGKfYxERESm1AQMG0LRpU9q3b4+ZpqeJSMlV1AR/R+C6n69RiIiIRNDFF1/sdwgiUglU1O//6ue6FhERiXorVqxg9+7dfochIpVcRU3wJwauD/gahYiISJg+/vhjFi9ezIwZM/jmG+3RKCJlp0Il+GZ2iZn9Cy/Bd8DbPockIiJSKOccS5cuZcmSJQBkZGQwffp09u3b53NkIlJZ+T4G38x2hlEtBmgA1A0qOwQ8VRYxiYiIRIJzjiVLlvDJJ5+ElKenp5OUlETr1q19ikxEKjPfE3ygfQnOWQ484JzTEB0REYlKzjnee+89li9fnufYsGHDGDhwoA9RiUhVEA0JfjgbXWUDp4FdwEfOuXVlGpGIiEgpOOdYtGgRn3/+eZ5jI0aMoF8/LQInImXH9wTfOXe/3zGIiIhEinOOBQsWsGbNmjzHbrvtNnr37u1DVCJSlfie4IuIiFQW2dnZvPXWW6xbty6k3My444476NGjhz+BiUiV4nuCb2bXBH78wjmXEuY5NYABAM65ZWUVm4iISLiys7N544032LBhQ0i5mXHXXXfRrVs3nyITkarG9wQfWIo3xr4HsDnMc1oHnRcN90FERKqwrKws5s6dy+bNof/GYmJiuOeee+jatatPkYlIVRQtybGV83kiIiIRkZWVxezZs9m6dWtIeWxsLPfeey+XXnqpT5GJSFUVLQl+ceVs0JXlaxQiIlLlxcTEUKtWrZCyuLg4Ro8eTadOnXyKSqJNamoqKSkp1KhRg5o1a/odjlRyFWon2yDtAtcnfY1CRESqPDNj5MiR9OzZE/CS+7Fjxyq5r+Kys7N5//33mTBhApdeeik1a9akUaNG1KpVi44dOzJ27FjefvttsrOz/Q5VKqFy78E3s4sKONTSzM4UcXp1oCPwG8ABmyIZm4iISEmYGbfddhuxsbH06NGDdu3aFX2SVFrLly/n29/+Nps25Z+m7Ny5k507dzJz5kwuueQSXnjhBYYOHVq+QUqlZs658r1Bs9zDanLG0ZckkG87514uZUiVkpm1AfYC7N27lzZt2vgckYiISOXmnOO3v/0tTz75JNnZ2VSrVo2ePXvSuXNnWrRoQc2aNUlNTSU5OZkdO3awbt06UlNTAfjJT37C73//e8w0vbAqSUpKom3btjm/tnXOJUWiXT/G4Bf0zC3OMzoV+JuSexERKU+pqamkpaVRv359v0ORKPTzn/+c3/3udwD07NmTm2++Oc94+9q1a9OxY0c6duzI0KFDee+991i9ejV/+MMfOHfuHH/961+V5Eup+dGDPzFX0St4vfe/APYVcqrDS+wPAGudc0UN56nS1IMvIhJZKSkpTJ06ldTUVCZNmkS9evX8DkmiyFtvvcVtt90GwPDhwxk4cGDY565du5Y333wT5xwzZsxg7NixZRWmRJmy6sEv9wQ/TwBm2XjJe3fnXLjr4EsRlOCLiETO2bNnmTp1KgcPHgSgcePGTJo0iTp16vgcmUSDU6dO0blzZ5KTkxk0aBDDhg0rdhtLly5l6dKlNGrUiG3bttGkSZMyiFSiTVkl+NGwis61wHXALr8DERERye3MmTNMmTLlfHIPcPToUebNm+djVBJNEhMTSU5OpmHDhlx33XUlamPw4ME0a9aMY8eO8eKLL0Y4QqlqfE/wnXMfBS4pfsciIiIS7NSpU0yePJnDhw+HlNerV49bbrnFp6gk2rzwwgsAXHHFFcTHx5eojdjYWK688srz7fk9wkIqNt8TfDOrb2b/F7i0DKN+y6D6tcsjRhERqXpOnjzJ5MmTOXr0aEh5/fr1mTRpEo0bN/YpMokmx44dY8OGDQB07969VG1ddtllxMTEsHv3bpKSIjJSQ6oo3xN84D7gSeA+59yBMOonB875JTCmDOMSEZEq6vjx40yePJnjx4+HlDds2JD777+fhg0b+hSZRJt169YB3nMj947GxVWtWjWaNm0KeBNvRUoqGhL84XiTbF8Lp7LzvrOaibes5q1lGJeIiFRBR48eZfLkyZw4cSKkPGdirZbIlGDHjh0DoG7duhFpL2d1ptzfHIkUhx/r4OfWK3D9WTHOWZ7rXBERkVI7fPgwiYmJnDkTuhJz06ZNSUhI0Ko5kkdsbCwAWVm59/EsmZx2ctoVKYloSPCbBa7DGZ6TIzlw3TzCsYiISBV16NAhEhMTOXv2bEh58+bNmTBhArVra9qX5NWhQwfA+3CYnZ1NTEzpBkccOnQIgI4dO5Y6Nqm6omGITmrgujgD13LqRubjsoiIVGnJyclMnjw5T3LfsmVLEhISlNxLgS677DJq1KhBeno6ycnJRZ9QiKNHj3LmzBliYmLo1atXZAKUKikaEvycnvt+xTgnp27pXkkiIiLAkiVLSEkJXa25devWJCQklHripFRu8fHx3HqrNyVw9erVpWor5/ybbrpJHyqlVKIhwf8Yb8Lso2ZW5OKxgTqP4k3M/aSMYxMRkSrgrrvuolWrVud/b9u2LRMmTKBGjRo+RiUVxaOPPgp4K+qUtBf/6NGjfPHFFyHtiZRUNCT4rwSuLwFmmFmBXSWBY68Cl+Y6V0REpMRq1KjB+PHjadGiBe3bt2f8+PFUr17d77CkghgyZAi33347WVlZzJs3j9TU1KJPCpKens7cuXPJyMjg+uuvZ+TIkWUUqVQVFg07pZnZDLw17R2QBLyI17OfM3ynJXAN8C2gTaBstnNudDmHWmGYWRtgL8DevXtp06ZNEWeIiMi5c+eIj48v8W6kUnUlJyfTo0cPDh8+TOvWrbn33nvDWlL19OnTzJ49mz179lC/fn3WrVtH+/btyz5giQpJSUm0bds259e2zrmI7HAWLQl+DeBN4Aa8JL/AqoHr94DbnXPF+4hchSjBFxHJn3MOMyu6okgxrV27lhtuuIFjx45Ro0YNrr32Wnr16pXvt0Hp6emsX7+eDz74gJSUFOrVq8eiRYsYNGiQD5GLXyp1gg9g3rvt48APudBLn9te4E/Acy5aAo9SSvBFRPLavn07a9as4Z577iEuLhpWipbKZvv27SQkJLBy5UrA2522ffv2tGzZkho1apCWlkZycjK7d+8+P5SnV69eJCYm0r17dz9DFx9U+gQ/RyDR7wX0BpoEio8Aa4AvldiHRwm+iEioLVu2MHv2bLKzs7n00ku59957tZmQlInMzExeeOEF/vrXv7J9+/YC63Xo0IHHHnuMxx57TMPCqqgqk+BLZCjBFxG5YOPGjcydO5fg/3ldunThnnvuUZIvZcY5x8qVK1m5ciUbN27k7Nmz1KpVi8svv5z+/ftz5ZVXlnpjLKnYyirB1/eTIiJSqX355ZfMnz+f3B1aNWrU0Fh8KVNmxhVXXMEVV1zhdyhSxSjBFxGRSmvt2rW8+eabecr79OnDyJEjleCLSKXke4JvZheV5nzn3DeRikVERPy3efNmXn/9dVatWsX27dtJT0+nfv369OzZk6uuuorRo0eHtfzgqlWrWLhwYZ7y/v37M3z4cCX3IlJp+T4G38yySnG6c875/iElGmkMvohUNOvXr+e///u/WbJkSaH1ateuzXe+8x1+/etfU6dOnXzrrFy5kkWLFuUpHzRoEDfeeKOSexGJCpV2kq2ZZZfidOec0+yofCjBF5GKwjnHn/70J37+85+TkZGBmXHppZfSoUMHmjVrRlxcHGfPnuXAgQNs3ryZw4cPA9C+fXtmzZrFgAEDQtr79NNPef/99/PcztVXX811112n5F5EokZlnmR7fxh1agOXAncDrYFPgZfKMigRESl7zjl+8pOf8Kc//QmAzp07M3z4cBo0aJCnbpcuXRg6dChfffUVCxYsYPfu3Vx33XUsXryYq666CoBly5bx4Ycf5jl3yJAhDBkyRMm9iFQJvvfgF4eZxQPPAo8Af3LO/dTnkKKWevBFpCKYMmUKkyZNAuDmm29m4MCBYSXhqampvPbaa+zcuZNGjRqxceNGtm7dyrJly/LUve666xg8eHCkQxcRKbWy6sGvUIuvOucynHOPAUuBH5nZMJ9DEhGREtq/fz/f//73Abj22mu54oorwu5hr1GjBmPGjKFFixYcO3aMJ598Mt/k/qabblJyLyJVToVK8IP8GzDgcb8DERGRknn22Wc5efIkrVq14uqrry72+dWqVeOOO+4gJiaGuXPnUr169ZDjw4cPZ9CgQZEKV0SkwqioCf6OwHU/X6MQEZESSU1N5eWXXwa88fEl3U22RYsWdO3alSNHjrB3715q1qwJwMiRI/NMvhURqSqiYZJtSdTPdS0iIhXI6tWrOXbsGLVr1+aSSy4pVVu9e/dm06ZNvP322yxfvpyDBw/Ss2fPCEUqIlLxVNQe/ImB6wO+RiEiIiWyZs0aAFq3bk1MTOn+FbVu3RqA3bt3Ex8fr+ReRKq8CpXgm9klZvYvvATfAW/7HJKIiJTA/v37AWjYsGGp26pZsya1atUC4MAB9fuIiPg+RMfMdoZRLQZoANQNKjsEPFUWMYmISNmK9Hr0OUs+a517EZEoSPCB9iU4ZznwgHNOXTUiIhVQq1atADh27Fip20pJSSElJQWAli1blro9EZGKLhoS/ES84TaFyQZOA7uAj5xz68o6KBERKTt9+/YFYN++fWRlZZV4FR3wNooB6NChA40aNYpIfCIiFZnvCb5zbpLfMYiISPnq06cPTZo04ciRI+zYsYMuXbqUuK21a9cCMGyY9j4UEYEomGRrZgmBy0C/YxERkfJRvXp1HnzwQQCWLl1KVlZWidrZv38/W7duBeCRRx6JWHwiIhWZ7wk+MBl4BWjncxwiIlKO/uu//ouGDRuSnJzMRx99VOzz09LSeOONN8jOzmbUqFF07969DKIUEal4oiHBPxm43lFoLRERqVRatGjBP/7xDwCWLVvGp59+en41nKKkpKQwY8YMDh06RNOmTXnuuefKMlQRkQolGhL8XYHr0i+GLCIiFcq4ceP4+c9/DsB7773Ha6+9RmZmZoH1s7Oz2bJlC88//zx79uyhbt26LFiwgKZNmxbrdtPS0khOTubQoUMlHh4kIhKtfJ9kC8wDegG3Akv8DUVEpGL54osvmDp1Kp9//jkbN24kJSWFWrVq0a1bNwYOHEhCQgJ9+vTxO8xC/eY3v6FZs2b88pe/ZOjQocTFhf5ryszMZNeuXezevZvNmzdz/PhxAC699FJmzpxJ7969w7qdLVu28O9//5sPP/yQTZs2nU/sa9euTa9evbjtttt44IEHaNKkSWTvoIhIObNwvw4tswDM6gFfAi2BEc65D3wNqJIwszbAXoC9e/fSpk0bnyMSkUhat24djzzyCCtWrCiy7tVXX82//vUvLr/88nKIrGROnz7Nv/71L86dOxdSfurUKaZMmcLRo0fPl9WvX59HH32UX/ziF9SsWbPItpOTk3nssceYM2dOSLmZ5RkSVL16dX784x/z85//nGrVqpXiHomIFC0pKYm2bdvm/NrWOZcUiXZ9T/ABzKwTMBu4HG/C7QxgPXDcRUOAFZASfJHK65lnnuGnP/0pmZmZxMbGcvnll3PJJZfQokULatSoQWpqKsnJyWzbto0tW7aQlZVFtWrVeOaZZ3jsscf8Dj+P9957j1deeYVOnTqFrId/8uRJpkyZwrFjx6hbty6DBg1i3Lhx3HPPPdSuXTustj/88EPuuecejh07RkxMDLfddhsTJkxgwIABtG7dmuzsbLZt28Ynn3zCCy+8wOrVqwHo1asXCxYsoHXr1mVyn0VEoBIn+GYWPPjRKHrTq2DOORcNw4yijhJ8kcrpN7/5Df/3f/8HQJcuXRgxYgR169YtsP6pU6dYsGAB27dvB+APf/gDP/7xj8sl1qIcO3aMxx9/nBkzZgDQtWtXRo0aRUxMDOfOnePjjz9m586dHDp06HxP+y233MILL7wQVuL90UcfcfPNN5OamkqvXr2YPHkyPXv2LPSc119/nUcffZQjR47QqVMnPvnkE5o3b176Oysiko/KnOBnl+J055wr+faHlZgSfJHKZ+HChYwcORKAG264gauuugozK/I85xzLli3jww8/BOD999/n+uuvL9NYi5KUlMT111/P9u3bMTP69+/PwIEDady4cZ66J0+e5IsvvmD58uVkZWXRqlUrPvjgg0I3xzp69CiXX345Bw8eZOTIkbz++uvUqFEjrNh2797Ntddey+7duxk+fDgLFy4M63EWESmuypzg/7I05zvnfhWpWCoTJfgilcupU6fo2rUr+/fvZ8CAAVx55ZWkpqYSGxtLgwYNiI+PL7KNt956i9WrV9OuXTs2bdoU9jCXSDtz5gwDBgxgy5Yt1K9fn1GjRoX1HnXo0CFef/11Dh8+TOvWrVmzZg3NmjXLt+7EiRNJTEzksssuY9WqVWGN1Q+2efNm+vTpQ1paGomJiUyYMKFY54uIhKPSJvhSNpTgi1Quzz77LE888QTx8fHExsaSmpp6/piZ0axZMy677DL69u1LnTp18m0jLS2N559/npMnT/Lvf/+b73znO+UVfojHHnuM5557jrp16/Lggw/SoEGDsM89e/Ysr7zyCkeOHOHuu+/m9ddfz9O7npSURLt27cjOzmbFihUMHFiyjdKfeuopfv7zn9OtWzfWr1+vXnwRiTgl+FIsSvBFKo+VK1dyzTXXkJ6efr4sJiaGmjVrkpmZSVpa2vny2NhYrrnmGq6++uqQCas5PvvsM95991169+7NmjVryiX+YJ9++ilz585l4cKFDBgwgI4dOxa7jQMHDvDiiy+SnZ3NBx98wHXXXRdyPGeewtChQ88PSyqJEydO0Lp1a86dO8dnn33GoEGD8tRxzvHZZ5+xfPly1q9fz6lTp6hevTpdunShf//+3HDDDWEPDRKRqqesEnzfJ6ia2TWBH79wzqWEeU4NYACAc25ZWcUmIuK3Z599lh/+8IdkZ2dTs2ZN+vTpw+WXX06zZs2Ii4vDOcepU6fYtWsXq1atIikpiQ8//JDt27czbty4PMNwevbsybvvvsvatWs5efIk9evXL7f7cuDAAd59913q1avHvffem+8HkHC0bNmSPn36sGrVKp577rk8Cf6yZd6/hTFjxpQq3gYNGjB8+HDmzJnDxx9/HJLgZ2dn89JLL/HnP/+Zbdu2FdhG48aN+fa3v83//M//UK9evVLFIyISrmjYyXYp3gZXFxfjnNZB54mIVEp/+ctfeOKJJ8jOzqZHjx48/vjj3HjjjbRq1er8ZlBmRv369enVqxcPPvggd911FzVq1GDfvn1MnTo1ZCgPeJs65QyJWbt2bbndl3379pGYmEhMjPdvp6TJfY7+/fsDMH/+/Dxr569btw6Afv36leo2gtsI/rZj9+7dDBkyhIceeoht27ZRrVo1unbtynXXXcfIkSMZNmwYvXr1ol69ehw9epSnn36abt26lerbBBGR4vC9Bz+gpAMbNSBSRCqlL774gh/84AcAXHvttQwZMqTIc8yMHj160LJlSyZPnkxycjKLFy/m9ttvD6lXv359Tpw4waFDh8ok9tz27t3L9OnTQ4YSlVazZs2oXbs2Z8+eZd26dVx55ZXnjx07dgzwevpLq1WrVgDnd8/dunUr1157LcnJyVSrVo1rr72WPn36UL169TznZmVlsX37dt5991327t3LTTfdxMyZM7n77rtLHZeISGGioQe/JHLiziq0lohIBZSdnc0DDzxAdnY23bp145prrin6pCBNmzbl3nvvBbxe+p07d+ZpHzjfm16W9uzZw9SpUyOa3IP3YSZnffrcQ2RyVhQKnrNQUjlxx8XFceLECYYNG0ZycjLNmjXjkUceYdCgQfkm9+B9S9G1a1ceeeQRunXrRmZmJmPHjuXzzz8vdVwiIoWJlh784moXuD7paxQiFUjO+OfVq1fzzTff4JyjefPm9OnTh+uvv55LLrnE7xAlYPHixWzcuJEaNWpwyy23lGj1lnbt2tGvXz9WrVrF8uXL6dChA+BNCj1y5AgA7du3j2TYeezcuZNXX32VzMzMkPKkpKSITPyvVq0akDeR79ixI5s3b2bTpk2lvo+bNm0CoFOnTvzgBz/gm2++oWHDhkycODHsZUarVavGXXfdRWZmJlu3bmXSpEmsWbNGk29FpMyUe4JvZhcVcKilmZ0p4vTqQEfgN3g73m6KZGwildHmzZv55S9/yRtvvJEn0Qp2/fXX84tf/CKsoSBStv7zn/8A0KtXL2rVqlXidgYNGsSqVavYsWMHp06dol69ehw5coSUlBTi4uLo3r17pELO46uvvmLWrFl5nnM5Q1Yee+yxUt/G2bNnAfJMXu3bty+bN29m6dKljBgxosTtO+dYunQpAM2bN+dvf/sbZsYdd9xR7D0EYmJiuO2229i7dy9btmzh5Zdf5tFHHy1xbCIihfFjiM6uXBfwxtK/m8+x3JetwEKgT+C8xHKLWqSCcc7xhz/8gd69ezN79mwyMzNp3bo1V1xxBSNGjGDkyJFcffXVXHzxxZgZH3zwAUOHDuW73/1unomZUr4+/fRTAC677LJStdO4cWNatGgBeL3mAKtXrwbgpptuKnBoSWlt27aNmTNn5knuO3TowKxZs85/yCiN7OxskpOTAW9loGA5Y9xfeeWVUj2XV65cyZdffkn16tX5+uuvAejcuTPt2rUr4sz81apVi8GDBwPw/PPPo2WqRaSs+DFEp6DvmovzHXQq8Dfn3MsRiEek0snOzubhhx/mxRdfBOCSSy7h+uuvP5/s5XbixAmWLVvGmjVreP7559m6dSsLFiwo9u6fUnqHDh0iOTkZMyvw71UcrVq1Ijk5meTkZFq0aHE+wf/ud79b6rbzs2XLFmbPnn1+nH+Oyy+/nDvvvJOnnnqKbdu2sWXLFvr06VNAK0X76quvyMjIoGHDhnTu3Dnk2IgRI7jooov45ptv+O1vf8tvf/vbYreflZXFE088AXjLbb777ruA9+1AafTs2ZP33nuPTZs2sXPnzhLtAyAiUhQ/evDvz3UBb7jNz/M5FnyZBIwBhgDNnHM/LdeoRSqQ3/3ud7z44ouYGSNGjGDcuHGFJosNGjTgtttu47777qN69eosWbKEBx54oBwjlhynTp0CvImiOWPMSyNnKMm5c+eYN28eGRkZDB06lJtvvrnUbee2ceNGXn/99TzJfY8ePbjrrruIjY3lwQcfBGDFihVkZZVsnYSczaUA7r///jxLbsbFxfHnP/8ZgKeffpolS4q/ovKvfvUrli9fTt26dfne975HUlISZsZFFxU0yjQ8NWvWPD85eNWqVaVqS0SkIOWe4DvnpgRfgg69kftYrkuic+4159zHzrmixuqLVFlffvklv/rVrwAYOXIk/fv3D3uS5iWXXMLYsWOJiYlh5syZzJ49uyxDlXzkrACTlZWVJ1EuiYyMDAB27NjB3r17qVu3Li+//HLEV9A5ePAgc+fOzTPspFevXtx+++3nb++BBx6gQYMGHDp06HySXlzr1q1j9+7dVK9evcBvIu6++27uu+8+srKyGDlyJHPnzg2r7YyMDH72s5/xm9/8BoC//e1v5yfx1qtXLyLDmpo2bQrArl27iqgpIlIy0bBM5rXAdVwYjy8ipfA///M/ZGZm0rVr1xINgWjfvj1XX301AD/+8Y9L3MsqJdO6dWtq1apFVlYWR48eLXV7Bw8eBODkyZPUrl2bN998k4svLs6+guFp1qwZV111VUhZ3759ue2220I+TDRu3Ji//OUvAHz44Yds3ry5WLeza9cu3n77bQB+/etfn18dKD//+c9/GD58OCkpKdx9992MHTuWjRs35ls3OzubRYsWccUVV/D73/8egKeeeopJkyadfw1E6kNRTjuR+AAnIpIf3xN859xHgUvpZlyJCDt37mTRokUA3HjjjSVaXhFg8ODB1KhRg127dp1vT8pHXFwcvXv3Bsizfn1xpaWlnZ9c265dO5YuXcrQoUNLG2K+zIzrrruOK664AoABAwYwYsSIfJ+DCQkJTJo0iezsbF5//XWWLFlS6ApP4CXDn332GdOnTycjI4MRI0acHyNfkOrVq/PGG2/wk5/85Py3Ut27d6d379489NBD/O53v+PXv/41Y8eO5eKLL2b48OGsWbOGhg0bMmPGDH72s58BF3rcT58+HZGkPGcYVuPGjUvdlohIfirMOvhmVh1oABx2zqnbQyQfCxYswDnHxRdfTKNGjUrcTnx8PD169ODzzz/nzTffLNVSg1J8o0eP5tNPP2XVqlX079+/xD3H69evJyMjg8aNG7N58+ZSLbkZDjPjpptuol27dnTu3LnAD5hmxosvvkhcXBwvvfQSy5YtY/369fTv35/OnTvTqFEjYmJicM5x4sQJduzYwRdffMHhw4cBuPPOO5kxYwZxcUX/C6tWrRpPP/0099xzD08//TRvvPEG69atY926dXnq1q9fn0mTJvGTn/wkZBfcTp06UadOHc6cOcOhQ4dKNfk5Ozub/fv3A5RqkrGISGF8T/DNrA6Qs03jstzj682sCfBvYCRevGfM7CXgZ865yG6NKFLB5UzaK+kyfsHatWvH559/fn7VFSk/CQkJ/OxnP+Pw4cOsWrWKAQMGFLuNs2fP8uGHHwLwf//3f2We3OcwM7p06VJkvbi4OF588UVuuukmvvvd73L48GHee+893nvvPapVq0b16tVJT08P2QG3bt26PPPMM3zrW98q9rdT/fr1Y/bs2Rw4cIBPPvmENWvWcPjwYWJiYs5vCnb11Vfnu759TEwM11xzDW+//TYbNmwoVYL/1VdfkZKSQoMGDejRo0eJ2xERKYzvCT5wN/AKkAS0Dz5gZjHAO3jr3ue8m9cF/itQ9+5yilGkQti9ezcATZo0KXVbmgjon/r16/P73/+exx9/nPfee4/WrVvTunXrsM/PzMxk3rx5nDt3jm7duvHQQw9FNL7ly5fTqVOn88+R0hg1ahS33HILr776KpMnT2b16tWkpqaen9gaHx9Pz549mTBhAgkJCTRo0KBUt9eyZUtGjRrFqFGjinXed77zHd5++21Wr17NoEGDqFOnTrFvOzs7m08++QTwVv8pq30IRER8H4MPDAtcz8tn6M1oIGfR4TXAs4FrA+4ws8iv8yZSgUVyMmBOG5pk649HH32Um266iYyMDKZOncr27dvDOu/MmTO8+uqrfPXVV9SsWZMpU6ZELJF0zrFkyRLeffddEhMTIzIJGLylPL/1rW/xySefcPr0abZs2cKqVavYuHEjp0+f5osvvuB73/teqZP70hgxYgQ9evQgNTWVhQsXlmiTqi+++IJvvvmGWrVq8b3vfa8MohQR8URDgt8Nbx38/NZLSwhcrwaucM79ABgEfB4on1j24YlUHDk99zmT+Erj5MmTIW1K+YqJiWH27NkMHjyY1NRUZsyYwZw5czhw4EC+9VNSUlixYgXPPfccX3/9NTVr1uSNN96I2Dhv5xzvv/8+H3/8MeB9kEhMTOT48eMRaT9HXFwcXbp0oW/fvlx++eVR08sdFxfHK6+8QlxcHFu2bGHx4sXFSvI3bdrE4sWLAfjDH/5A+/btyyhSEZHoGKLTLHAdMg7AzOLxxuY74DnnXCaAcy7DzP4FDAhcRCSgT58+vPnmm+zbt6/UbeVMBCztzp1ScnXr1mXx4sX8/Oc/59lnn2XDhg1s2LCBRo0a0apVK+rUqUNmZiYHDx7kwIED51ei6dmzJ5MnT6ZXr14RicM5x+LFi1m5cmVI+alTp9izZw8NGzaMyO1Euz59+vDPf/6Tb3/726xYsYJDhw5x6623Fnr/09LSWLJkyfnHLiEhgUcffbS8QhaRKioaEvycpT7Sc5X3B2riJfi51+nL+a669Pu4i1QiOUsgbtu2jbS0tBL3fjrnWL9+PQBDhgyJVHhSAjVr1uSZZ55hzJgxPPvss8yePZtjx45x7NixPHUvv/xyvvvd7/Lggw9GZBdc8J4Lb7/9dr67rt56660R+xBRUXzrW9+iWrVqPPzww+zcuZO///3vdO3ala5du9KyZUtq1apFRkYGBw8e5Ouvv2bdunWkpqYC8Pjjj/Pss89GfJMxEZHcrCTjCCMagNkJvImzw51z7waV/xT4HbDDOdc51zm98YbtpDjn8i55IJhZG2AvwN69e2nTpo3PEUl5cM7RtWtXtm3bxvXXX8/gwYNL1M7WrVuZOXMmtWvXZt++fdSvXz/CkUpJHTt2jC+++IJ169Zx/PhxqlWrxqWXXkrfvn3p0qVLifc+yE92djYLFixg7dq1IeVmxm233VblkvtgO3bs4OGHH2bJkiVF1u3YsSPPP/88N910UzlEJiIVSVJSEm3bts35ta1zLikS7UZDD/7XQC9gKPBuUPmdeL33y/I5J2fphkNlGZhIRWNm/OxnP2PixIl89NFHXHrppTRv3rxYbZw7d44FCxYA8Nhjjym5jzKNGjVi2LBhDBs2rOjKpZCdnc38+fPPf5OTw8y488476d69e5nefrS75JJL+OCDD/jyyy95+eWXWb58OevXryctLQ0zo3PnzvTr149x48YxbNgw9dqLSLmKhh78p4EfA6eAscDHwP3AX/ES/Dudc2/mOueHwB+B5c650L3RBVAPflXmnGPkyJG8/fbb1KtXj4kTJ4a9Y+a5c+eYNm0a+/fvp3Pnzqxdu5aaNWuWccQSbbKysnjjjTfYuHFjSHlMTAx33303l112mU+RRTfnHBkZGcTFxSmhF5GwlFUPfjS8A/0VL7mvCywATgJ/CRzbAryVzzkj8JL/tfkcE6nSzIwpU6bQpUsXTp06xQsvvMCaNWvIzi58A+gdO3bwr3/9i/3799O4cWPmzp2r5L4KysrKYs6cOfkm9/fee6+S+0KYGdWqVVNyLyK+870HH8DMBgMzgZZBxTuBkc65rbnqdgS24a2Ff7dz7o3yirMiUQ++HDx4kDvvvJPly5cD3tCO3r17c9FFF9G4cWPMjBMnTrBv3z7WrVt3ftWcjh07Mn/+fC6//HI/wxcfZGZm8vrrr+dZcz82NpbRo0dzySWX+BSZiEjlVFY9+FGR4AOYWTXgKryVcQ4An+QsjZmr3tXA9YFf/+ScO1d+UVYcSvAFvN7YP//5z/z2t78tcm38atWq8cgjj/DUU09Ru7bmrlc1GRkZvPbaa3z11Vch5XFxcYwdO5YOHTr4FJmISOVVmSfZAuCcSwc+DKPeJ8AnZR+RSMUXGxvLj370Ix555BFmzJjBwoULWb169fl18hs3bkzfvn257rrruP/++2nWrFkRLcrJkydZs2YN27dvJyMjg3r16tGzZ08uu+wy4uPj/Q6vxPJbfSc+Pp5x48ZpU6YKICsri/fff5+PPvqItWvXcvToUWJjY+nQoQN9+/bltttuo1OnTn6HKSLlJGp68CWy1IMvhcnOzsY5R2xsrN+hVAjOOd555x2ee+453nnnnXx3MK1fvz4TJ07k8ccfr7CJVEZGBq+++iq7du2iWrVq3HfffVx00UV+hyWFyM7O5sUXX+QPf/gDu3btKrTusGHD+MMf/kDPnj3LKToRKUqlH6JTFZjZKOC7QE+gGvAVMB141jmXEeHbUoIvEgH79u3joYceYuHChefL6tevT7NmzYiPj+fs2bMcOHCA9HRvr75q1arx5JNP8qMf/Yi4uKj5kjRsGRkZzJkzh6uvvlrvG1Fu//79jB8/ng8/9L78rlGjBl27dqVVq1bUq1ePrKwsDh8+zJ49e9i1axfOOeLi4njyySf52c9+FtE9E0SkZJTgV3Bm9hfg+0AmsAQ4A1wHNMAbcnSTcy4lgrenBF+klNavX8+NN97IoUOHiI2NpX///vTv3z/PsqPZ2dns3LmTzz77jJ07dwJwyy23MGfOHGrUqOFH6FLJJSUlcc0117Br1y7i4+O57rrr6Nu3b4E7GB87dox3332XrVu9dSsefvhhnn/+eSX5Ij5Tgl+BmdkdwDy8pH6Ic25NoLwJXrLfHXjGOffDCN6mEnyRUtizZw/9+/fn8OHDNG/enLvvvrvIOQrOOb788ksWLlxIRkYGd955J3PmzIm6JOrcuXPExMTow0cFlZ6ezsCBA1m3bh0NGzZk/PjxYe114ZxjzZo1LFiwAOcczzzzDE888UQ5RCwiBanM6+BXBT8LXD+dk9wDOOeOAI8Gfn3MzLRlqEgUyM7O5oEHHuDw4cO0aNGCSZMmhTUB2czo1asX48aNIy4ujnnz5vHyyy+XQ8ThO3v2LFOmTGH69OmkpaX5HY6UwO9+9zvWrVtHzZo1i7WRnZnRt29fbr75ZgD+93//l23btpVlqCLiEyX4ZczMWgP9A7/OyH08sCrQXqA6cEs5hiYiBZg1axZLliwhPj6eUaNGFXvDr4svvphrr70WgCeeeKLIJUrLy+nTp5k8eTKHDh0iKSmJGTNmnJ87IBXD8ePH+eMf/wjAiBEjaNCgQbHbGDBgAB07diQ1NZVf//rXEY5QRKKBEvyy1ztwfcw5V9ASB6ty1RURH/39738H4Kqrrgq7dzS3QYMG0aRJE06dOsXUqVMjGV6JnDp1ismTJ3PkyJHzZd988w1vv/22j1FJcU2ZMoWUlBSaN29e4s3ozIzrrrsOgNmzZ3Po0KFIhigiUUAJftm7OHD9TSF19uaqWyQza1PYBW/DMBEppl27drF8+XJiYmLo27dviduJiYmhf3/vy7tp06ZFKrwSOXHiBJMnT+bYsWMh5Q0aNGDo0KH+BCUlkvOBrHfv3qWa29G6dWuaN29Oeno6S5YsiVR4IhIllOCXvbqB67OF1DkTuK5XjHb3FnH5onhhigjA559/DkCLFi2oW7duEbULl7Me/tq1a8nIiOhKuGE7duwYkydP5vjx4yHljRo14v777y/REA/xh3OO1atXA0Rkf4KciX05bYpI5aEEX0QkyJYtWwAvwS+thg0bEh8fT1paWpGbEJWFI0eOMHnyZE6ePBlS3qRJEyZNmkS9esXpUxC/paSknP8WplGjRqVuL2f42d69e4uoKSIVTbntwmJmZbIdonOusKEv0eB04Lp2IXXqBK6LMxOvbRHHW6BefJFiS01NBShwPfHiiImJoVq1amRkZJxvt7wcPnyYxMREzpw5E1LerFkzJkyYQJ06dQo4U6JV8LLWkVh6NacNLZctUvmU5zaLZdF95Sjf+1ASuwPXhSXkOcd2F1InRFHrpEbbutsiFUVO4puSUvp957Kyss4vRVm7dmGf8SPr4MGDJCYmcu7cuZDyFi1aMGHCBGrVqlVusUjk1KpVi7p163L69GlOnDhB8+bNS9VezrCt0rYjItGnPIfoWBldot3awHVjMytoEm2/wPWaAo6LSDnp1q0bAMnJyaVu68iRI2RmZlKnTh0uvjjsOfSlcuDAAaZMmZInuW/VqhUJCQlK7iswM6N3b2+xtaSk0u+Fs2/fPgD69etXRE0RqWjKs/f7/nK8rajhnEsysy/w1sIfBzwVfNzMrsbrwU8DtF6diM8GDhwIwKFDhzh27FipxjrnbCLUv39/YmLKvj9l3759TJs2Lc9woLZt2zJu3DjtXFsJ3HDDDSxbtowvv/yyVKs8HT58mKSkJMxMKymJVELlluA756aU121Fod8B84Cfmtk7ObvZmllj4PlAnX84504W1ICIlI+WLVty8803s2jRIlauXMnw4cNL1E5GRgarVnlbXNx/f9n3bzjnWLhwYZ7kvl27dowdO5bq1auXeQxS9h588EF+9atf8c0337Bz5046dOhQonaWLVsGwMiRIyOyIo+IRBetolMOnHNvAH/Dm0y7wszeMbPZwFdAd+BT4Bf+RSgiwf7rv/4L8JbMzBnGUFwffvghp06dolWrVowaNSqC0eXPzBg9enTIspcXX3wx48aNU3JfibRq1YqHHnoIgPnz55dorsjmzZvZsGEDMTEx/O///m+kQxSRKKAEv5w4574PjAaWA1cCtwBJwE+B65xzpZ/RJyLFdu7cOTZv3syXX37J7t27cc4xbNgwxo4di3OO1157jRMnThSrzfXr17N8+XIA/v3vf5fb0Jj69euTkJBAvXr16NSpE2PHjo3IakASXZ5++mnatWvHyZMnmTZtWp75FoX56quvmDdvHgA/+MEPzg9JE5HKxbQ8VuUU2M12L3hrHLdp08bniESiR3JyMi+99BKvv/46mzZtIisr6/yxBg0acNVVV3Hvvffy1FNPsX37durWrcvtt99+fuOqgmRmZrJs2TI+/vhjnHM8/vjj/O1vfyvru5PHyZMnqV27NnFx0b7ImJTUhg0bGDp0KMeOHaNOnTqMHDmSzp07F7iCWlpaGkuXLmXFihU45xg5ciRz584lPj6+nCMXkWBJSUnnN50D2ha1SmK4oirBN++dqRfQE2gC1KSIlXKcc78u+8gqHiX4InllZGTw9NNP89vf/pb09PTz5dWrVyc+Pp5z586RnZ19vrxjx45kZWWxe/duADp37kz//v1p165dSGJ05swZNm/ezMqVKzl69CgAjz76KH//+9/LZXKtVE0bN27k7rvvZvv27YC3gVn37t1p3bo1devWJTs7m8OHD7Nnzx42bNhw/jn/4IMP8vzzz+vbHZEoUOkTfDObCPwSaFec85xzsWUTUcWmBF8k1JEjRxg5ciQrV64EoE2bNvTr14+LL76YevXqYWZkZmZy6NAhNm3axJo1a0hJScHMuOqqq/jkk0/Ot2VmNG7cmPj4eM6ePcupUxf2qGvSpAnPP/98mY6737x5M7t27eKWW27RnhdVXEpKCr/61a/4xz/+wdmzZwut27lzZ5555hlGjBhRTtGJSFEqdYJvZk/hjUUP5z+VC67nnFP3WD6U4ItccOrUKa655hq+/PJLatasyfDhw+nevXuhyfG5c+dYtGgR69evB+DHP/4xKSkpzJo1i0OHDoXUNTO6d+/Ot771LRISEqhfv36Z3ZcNGzYwb948nHP079+f4cOHK8kXTp06xYwZM1i2bBlr1qzh6NGjxMbG0qFDB/r27cvtt9/O9ddfr+eKSJSptAm+mQ3Em3jqgPeBH+FN/l3DhZ1qG+FtBvUIcBvwCTDKOXfQj5grAiX4Ihc88MADvPLKK9SuXZtJkybRtGnTsM/96KOP+PDDD4mJiWH58uX079+fpKQktm3bRnp6Og0aNKB79+7UrVu3DO+BZ926dcyfPz+kbODAgQwbNkyJm4hIBVRWCX40zMB6JHC9BxjhnMs0s8tzDjrvE8hRYDGw2MweAZ4DFpnZQOdcep4WRUQClixZwiuvvIKZce+99xYruQcYMmQIR44cYcOGDTzwwAOsX7+etm3bBr8hl4vVq1ezYMGCPOXBE4RFREQgOpbJvBKvp/5vzrnMoio75/4JzAF6AI+WcWwiUsE988wzAPTt25d27Yo1xee84cOHU6NGDTZt2sTixYsjGV5YPv/883yT+4EDB2ocvoiI5BENCX7LwPWmoLLzy1iYWX5reE3FG4c/ugzjEpEKbt++fbzzzjsADBo0qMTt1KpVi169egHw0ksvRSK0sC1fvvz8fQh25ZVXamiOiIjkKxoS/JwEPnjW2pmgn/P7Pj1nfFLhi1KLSJWWs+Z3ixYtaNy4canauuyyywD47LPPIhFaWD755BPefffdPOWDBw/mhhtuUHIvIiL5ioYE/3Dgul5Q2UEgZ2Bp13zOyen1L/tZbSJSYX355ZcAtGrVqtRttWjRAjMjOTmZgwfLfn7/Rx99xAcffJCnfOjQoVx33XVK7kVEpEDRkODnDM3pklMQmDibU57fMJwJgev9ZRiXiFRwJ0+eBLwhNqVVrVq185tbBa97H2nOOZYsWcLSpUvzHLvhhhsYMmRImd22iIhUDtGQ4H+MN57+2lzlswLlD5jZr8zscjMbYGbPA/fiTczNOzBVRCQgZ6fOzMwi5+8XKTs7+/yKNWW1A6hzjvfee4+PP/44z7Fhw4Zx1VVXlcntiohI5RINCf4bgeuRZhY8TOevwG68GH8OrMdbL/+hwPHjwO/LJ0QRqYg6d+4MEJEhNUePHiUrK4tatWrRunXrUreXnw8++IDly5fnKb/lllu44ooryuQ2RUSk8vE9wXfObcLrvb+ToHX5nXPnAuWf4vXkB182AtdHajMAEamc+vXrB3gbiaSlpZWqrZ07dwLQu3dv4uLKZguRTp065Wn71ltvpX///mVyeyIiUjn5nuADOOc+cs594Jw7lqt8j3NuMN5E23uAMUBf51wP59yXfsQqIhVHz549ufTSS8nIyDg/4bYksrOzWbVqFQCjR5fd6rzt27dn7NixxMXFYWbccccd9OnTp8xuT0REKqeoSPCL4pzb5pyb65x7zTm31u94RKRiMDO++93vArB06VLOnj1bonZWrVrF4cOHqVOnDgkJCZEMMY8OHTowevRo7rrrLnr27FmmtyUiIpWT7wm+mV0TuNQsxjk1cs4ry9hEpOJ7+OGH6d69O+fOnWPu3LnFnnC7b98+3nvvPQB+//vfU79+/bIIM0SnTp3o1q1bmd+OiIhUTr4n+MBSYAlwcTHOaR10nohIgapVq8aUKVOoWbMmX3/9Na+++ipnzpwp+kRg+/btJCYmkpGRwU033cSjjz4akZiysrL46quvItKWiIhIbtGQ4IM3cbY8zxORKqR3797Mnz//fJL/3HPPsWLFClJSUvKtf+DAAWbPns2MGTNIS0tj8ODBzJ49m5iY0r9lZmZm8tprrzF9+nTWrVtX6vZERERyK5ulIMpezn/ZrEJriYgE3HjjjSxfvpxJkyaxbt06Fi1axPvvv0/Lli1p1qwZcXFxnD17lv3793PsmDff38x44okn+M1vfkPNmmGPIixQRkYGs2bN4uuvvwbgzTffJDY2lu7du5e6bRERkRwVNcFvF7g+6WsUIlKh9OzZk88//5z//Oc/PPfcc2zcuJG9e/eyd+/ekHrx8fHcc889PPHEE+eX2iyt9PR0Xn31VXbv3n2+zDnHwoUL6dSpU0Q+QIiIiIAPCb6ZXVTAoZZmVtTA2OpAR+A3eDvZbopkbCJS+cXHx/Pwww/z0EMPsW3bNlatWsWOHTtIT0+nYcOG9OrVi379+tGoUaOI3WZaWhozZszgm2++CSmvXr069913n5J7ERGJKD968HflU2bAuyVoK7GUsYhIFWVmdOnShS5dupTp7aSmpjJ9+nSSkkL35atRowbjx48vs11xRUSk6vIjwS9oYmxxJsymAn9zzr0cgXhERMpESkoK06ZNY//+/SHlNWvWZMKECbRs2dKnyEREpDLzI8G/P9fvr+ANt/kFsK+Q8xxeYn8AWOucC2+dOxERH5w7d46pU6eSnJwcUl6rVi0SEhJo3ry5T5GJiEhlV+4JvnNuSvDvZvZK4Mc3nHObyzseEZFIO3PmDFOnTuXQoUMh5Tk74TZt2tSnyEREpCqIhlV0rg1c5zc2X0SkQjl9+jSJiYkcOXIkpLxu3bpMnDiRxo0b+xSZiIhUFb4n+M65j/yOQUQkEk6ePEliYuL5dfRz1K9fn4kTJ9KwYUOfIhMRkarE9wRfRKSy2LVrV57kvmHDhiQkJNCgQQN/ghIRkSon6hJ8M6sLXAzUBWKLqu+cW1bmQYmIhKFXr16kpKTw7rveqr+NGzcmISGBevXq+RyZiIhUJVGT4JvZt4FHge6Ev2SmI4rug4jIoEGDyMzMZMOGDUyYMIG6dev6HZKIiFQxvifHZhYLzAFuzSnyMRwRkVIbPHgwAwcOpFq1an6HIiIiVZDvCT7wMHBb4OeDeOvirwaOAdl+BSUiUpisrCxiYwseRajkXkRE/BINCX5C4HozMNg5d9zPYEREirJ//35ef/117rnnHlq3bu13OCIiIiFi/A4A6Io3lv43Su5FJNolJSWRmJjIiRMnmDZtGgcOHPA7JBERkRDRkODn2OZ3ACIihfnmm2+YOnUqaWlpAKSmpjJ16tQ8m1qJiIj4KRoS/B2B60a+RiEiUojdu3czbdo00tPTQ8pbtmxJ/fr1fYpKREQkr2hI8GfirZwz0u9ARETy8/XXXzN9+nQyMjJCyjt16sSYMWOIj4/3KTIREZG8oiHB/xvwJfCImQ32OxgRkWA7duzg1VdfJTMzM6S8c+fOjB49Wsm9iIhEHd8TfOdcGjAMb2nM98zsj2bWy8xq+ByaiFRxW7duZebMmWRlZYWUd+3alVGjRhEXFw0LkYmIiITy/b+TmQX/5zTgB4ELZkXueeWcc77fBxGpfDZt2sTcuXPJzg7djqNbt27ceeedxMT43j8iIiKSr2hIjnNn8drJVkR8tWHDBubNm4dzLqS8Z8+e3HbbbUruRUQkqkVDgv8rvwMQEcmxbt065s+fn6e8d+/e3HrrreF8sygiIuIr3xN855wSfBGJCrt27co3ue/Xrx+33HKLknsREakQ9D2ziEhAu3bt6NatW0jZFVdcoeReREQqFCX4IiIBMTEx3HHHHXTt2hWAq666iptuuknJvYiIVCi+D9HJzcw6AoOAFkAt4HnnnPaBF5FyERsby913383mzZvp1q2bknsREalwoibBN7M+wF+Aq3Idmg0cCar3XeCXwEngMudcBiIiERQbG0v37t39DkNERKREomKIjpmNBD7FS+4t6JKfRKAm0AEYWS4Bikil4pxjxYoVnDlzxu9QREREIs73BN/MWgKvAtWBzcBwoG5B9Z1zp4E3A78OL/MARaRScc7x3nvvsXjxYqZOncq5c+f8DklERCSifE/wgf8GagN7gMHOucXOubNFnLMUr4e/bxnHJiKViHOORYsWsXz5cgAOHTrE1KlTSUlJ8TkyERGRyImGBP9mwAHPOOdOhHnO1sD1xWUSkYhUOs45FixYwOeffx5SnpyczJ49e3yKSkREJPKiYZJtu8D154XWCnUqcF0nwrGISCWUnZ3NW2+9xbp160LKzYw77riDLl26+BOYiIhIGYiGBD8nhuJ8m1A/cK0ZciJSqOzsbN544w02bNgQUm5m3HXXXXk2thIREanoomGITnLgukMxzhkQuP4mwrGISCWSlZXFnDlz8iT3MTExjBo1Ssm9iIhUStGQ4H+MN2F2VDiVzawa8BDeuP2lZReWiFRkmZmZzJ49m82bN4eUx8bGMnr06PO71YqIiFQ20ZDgTw5c32ZmNxZWMZDcJwId8RL8F8s2NBGpiDIzM3nttdfYunVrSHlcXBxjxozh0ksv9SkyERGRsuf7GHzn3FIzmwWMBt4ys78Cc4KqtDezBnibYH0HbyiPA/7lnNtU3vGKSHTLyMhg5syZ7Ny5M6Q8Pj6esWPHcvHFWnxLREQqN98T/IBJeJtb3QL8MHBxgWNvBdXL2d12LvD98gpORCqG9PR0Xn31VXbv3h1SXq1aNcaNG0e7du3yP1FERKQSiYYhOjjn0pxzI/HG1u/ES+TzuyQBjzrn7nHOZfkVr4hEp6ysrDybVlWvXp3x48cruRcRkSrDnHNF1ypnZnYZ0A9oBsQCR4G1wBoXjQFHITNrA+wF2Lt3L23atPE5IpHycfbsWaZMmcLhw4epUaMGEyZMoFWrVn6HJSIikkdSUhJt27bN+bWtcy4pEu1GyxCdEM65zcDmIiuKiORSu3ZtEhISeP311xk+fDgtWrTwOyQREZFyFZUJvohIadSpU4dJkyZhZkVXFhERqWSiYgy+iEhxnTt3jqysgqfiKLkXEZGqKmp68M0sDhgBDMZbCrMu3vj7wjjn3PVlHZuIRJfTp08zZcoUmjVrxj333ENMjPoqREREckRFgm9mQ/A2vLoouLiQU1zguCbcilQxJ0+eJDExkWPHjnH06FHmzZvHnXfeqSRfREQkwPcE38x6AYuAanhJeyqwAzgBZPsWmIhEnePHj5OYmMiJEyfOl23cuJH69etzww03+BeYiIhIFPE9wQeeBKoDacATwCvOuVRfIxKRqHPs2DGmTJnCqVOnQsobN27MgAEDfIpKREQk+kRDgn813lCbp5xz//Q7GBGJPkeOHGHKlCmcOXMmpLxp06YkJCRQp04dnyITERGJPtGQ4NcIXC/yNQoRiUqHDh0iMTGRs2fPhpQ3b96cCRMmULt2bZ8iExERiU7RMCttd+A63s8gRCT6JCcnM2XKlDzJfcuWLUlISFByLyIiko9oSPDfCFxf42cQIhJd9u/fz5QpUzh37lxIeevWrUlI+P/t3XmYVPWd7/HPt5ul2SEskVVQ3FFBcI8IGtEg4sImCN3kZhITMzczN8u9mZnkxtyZyWi2mUwWM9sj3axKMCIRjI5ijFsAAcHdyC4ooKxK09v3/nFOS1V3VfVCd52q0+/X85yn6vzOUt9aaD516nd+p1idO3eOqDIAAHJbLgT8n0naI+mbZjY04loA5IBdu3aprKxM5eXJ59sPHjxYc+bMUVFRUZotAQBA5AHf3fdJmijpmKQ/mdkXzaxHxGUBiMiOHTs0f/58HT9+PKl96NChmj17tjp27BhRZQAA5IdcOMlW7r7JzMZK+pOkX0u6z8z2S/o485Zydz+91QsEkBXV1dV66KGHVFFRkdR+2mmn6fbbb1f79pyqAwBAQyI/gi9JZjZF0kZJfRRc7KpAUj9JQxsxAYiJwsJCzZgxI6kLzhlnnKGZM2cS7gEAaKTIj+Cb2eWSlkgqDJu2S9okrmQLtEn9+/fX7NmzVVZWpmHDhmnq1Klq1y7yP1UAAOSNXPhf8zsKwv0hSXe4+8qI6wEQsYEDB+oLX/iCevfurcLCwoY3AAAAn8iFgD9GwZVsv0e4B1CrX79+UZcAAEBeyoU++LWDWT8baRUAsmrTpk167rnnoi4DAIDYyYUj+FslnacTQR9AzG3YsEGPPPKIJKmgoECXX355xBUBABAfuXAE/yEFI+dcH3UhAFrfunXrPgn3kvT4449rzZo1EVYEAEC85ELA/4mktyX9tZmNiboYAK3nT3/6kx599NF67QcOHIigGgAA4inygO/uRyRdK+kVSc+Y2T+a2QVmxrXogRh5/vnn9dhjj9Vr/8xnPqMJEyZEUBEAAPEUeR98M6tOnJX07XCSmTW0ubt75M8BQGbPPPOMVq9eXa/96quv1tVXX92Yf+sAAKCRciEc1/2fnf/pgZhwdz399NN65pln6i275pprdNVVV0VQFQAA8ZYLAf/7URcAoOW5u5588smUQ2Fed911uuKKKyKoCgCA+Is84Ls7AR+IGXfX448/rhdffLHeshtuuEGXXnppBFUBANA2RB7wAcSLu2vVqlVau3ZtvWU33nijxoxhsCwAAFoTAR9Ai1q5cqXWrVtXr33y5MkaNWpUBBUBANC2ZC3gm9mQ2vvuviNVe3Mk7gtA9IYMGZIU8M1Mt9xyiy644IIIqwIAoO3I5hH8reGt13ncrSnWbay6+wIQsfPPP1/V1dVavny5zExTpkzReeedF3VZAAC0GdkMx+mGv2RYTCBmRo4cqerqanXu3FnnnHNO1OUAANCmZDPgf76J7QDy2OjRo6MuAQCANilrAd/dS5vSDiC3VVZW6v3339egQYOiLgUAACQoiLoAAPmnsrJSS5Ys0bx587Rly5aoywEAAAkiD/hmVhxOXPkGyAMVFRVauHChtmzZourqai1evFjbt2+PuiwAABCKPOBLmifpfkmnRlwHgAYcP35cCxYsSAr0VVVVeuihh1RVVRVhZQAAoFYuBPxD4e3bkVYBIKNjx45p/vz52rlzZ1J7UVGRZsyYoXbtGLEWAIBckAsBv3Yc/F6RVgEgrY8//lhlZWV69913k9o7d+6skpISDRgwIKLKAABAXbkQ8H+rYCz8m6IuBEB9H330kUpLS/Xee+8ltXfp0kUlJSU65ZRTIqoMAACkkgsB/2eStkv6ipldG3UxAE44cuSI5s2bp7179ya1d+3aVXPnzlW/fv0iqgwAAKQTecB398OSrpP0hqTHzOzfzWycmX3KzLjKLRCRw4cPq7S0VPv3709q7969uz7/+c+rT58+EVUGAAAyifysODOrTpyV9IVwql2eaXN398ifAxA3Bw8eVFlZmQ4cOJDU3rNnT5WUlKhnz57RFAYAABqUC+G4boLnqD0QoQMHDqi0tFSHDh1Kau/Vq5dKSkrUo0ePiCoDAACNkQsB//tRFwDghE2bNtUL971791ZJSYm6desWUVUAAKCxIg/47k7AB3LI2LFjdfToUa1bt06S1LdvXxUXF6tr164RVwYAABoj8oAPILeYmSZOnKjq6mrt3r1bc+bMUZcuXaIuCwAANBIBH0A9ZqabbrpJFRUV6tixY9TlAACAJsi5gG9mp0u6XNIpkjpL+pW778+8FYDmcPe0I1WZGeEeAIA8FPk4+LXM7CIze0bSW5JKJd0r6XuS+tVZ76tmttfM3jaz9hGUCsTCzp07dd9999UbChMAAOS3nAj4ZjZJ0nOSrlQwTGbtlEqZpE6STpM0KSsFAjGzbds2zZ8/X/v27VNZWVm9UXMAAED+ijzgm1l/SYsldZT0mqTPSUo7Fp+7H5H0SDj7uVYvEIiZLVu2aOHChaqsrJQUXNSqtLRUR48ejbgyAADQEiIP+JL+l6QukrZLusrdf+/uHzWwzdMKjvCPbuXagFj585//rMWLF6uqqiqpvU+fPioqKoqoKgAA0JJy4STbGyS5pJ+4+8FGbvNGeDusVSoCYujNN9/U0qVLVV1dndR+9tlna+rUqSosLIyoMgAA0JJyIeCfGt6uacI2h8PbnL/yjplNlHSJgl8bRkvqHy4a7O67IisMbcprr72mZcuWqaamJqn9vPPO06233kq4BwAgRnIh4NfW0JTuQj3C23zoNLxIJ+oFsm7z5s367W9/K3dPar/gggt08803q6AgF3rqAQCAlpIL/7O/F96e1oRtLglvd7RwLa3hIUl/q6ArUr8G1gVa1Msvv5wy3I8cOZJwDwBATOXCEfw/KuhLP03B0e6MzKyDpDsV9Nt/ulUrawHu/j8S59NdVAhoaevXr9eKFSvqtY8ePVo33ngjn0UAAGIqFw7fzQtvJ5vZdZlWDMN9maTTFQT8/2jd0oD8tHbt2pTh/pJLLiHcAwAQc5EHfHd/WtIDCoa9XGFm95rZJQmrDDWzK8zsW5JeVXCk3yX92t1fzXrBQI577bXXtHLlynrtl19+uW644QbCPQAAMZcLXXQkaa6Ci1tNlPTNcKrtNJx4GLI2mTwk6a+yVVwuMrNBDaxySlYKQc4ZPny4hgwZoh07TpyictVVV2n8+PGEewAA2oDIj+BLkrsfd/dJCvrWb1EQ5FNNuyTd5e5T3b063f7aiJ0NTGujKw1R6tChg2bNmqVBg4LvgOPGjdM111xDuAcAoI2wuqNr5AIzO1fSGAWjzhRK+kDSBknrPUsFm9kPJU1uxqZ/4e7PZthvbf0nNQ5+wn4atHPnzk/CHtqO8vJyvfHGGxo5cmTUpQAAgBR27dqlwYMH18622DWScqWLThJ3f03SaxGXMUDSWc3YLlsX3xrcwPJTxFH8Nq2oqIhwDwBAG5STAT8XuPtsSbOjriOdhr7h0R0j/txda9eu1ciRI9WhQ4eoywEAADkiJ/rgp2Jm7cysbzjxRQRI4O5auXKlVq1apSVLlqiysjLqkgAAQI7IqYBvZuea2b+a2WuSyhVc5fY9SeVm9rqZ/dzMRkRbJRCtmpoarVixQuvWrZMkbd26VQ8++KCqqqoirgwAAOSCnAj4ZlZgZj+R9LKkr0o6W0FttaPnFCjoD3+XpA1m9s9mlhO1A9lUU1Oj5cuXa8OGDUnt77zzjnbu3BlRVQAAIJfkSteXRQouYFXbcfxVSWskvR/Of1rSxZJGKBhV52sKToKdkd0ym87MvivpxhSLHjGzivD+ene/K4tlIQ9VV1fr4Ycf1iuvvJLUXlBQoClTpmjYsGERVQYAAHJJ5AHfzG6XNF3Bha1elvQld085+ouZXSzp15JGSZpqZre7+5KsFds8p0u6NEX7qIT75VmqBXmqurpay5Yt0+uvv57UXlhYqGnTpumss5oz4BMAAIijXOjm8qXw9i1Jn0kX7iUpXDZW0psKjvbf2frlnRx3n+vu1sA0Luo6kbuqqqr04IMPpgz3t99+O+EeAAAkyYWAf6GCo/f3uvtHDa0crnNvwrZAbFVWVmrJkiV66623ktrbtWunWbNmafjw4RFVBgAAclXkXXQk1Q7gvakJ29Su276FawFyRkVFhZYsWaKtW7cmtbdv316zZs3S0KFDoykMAADktFw4gr89vO3RhG2619kWiJXjx49r0aJF9cJ9hw4dNHv2bMI9AABIKxcC/jIF/emnNGGbqQq69fy2VSoCIlReXq4FCxZo+/bk769FRUUqLi7WkCFDIqoMAADkg1wI+D+VtEXSnWY2vaGVzWyqgpNrt0r6cSvXBmRdeXm5Dh8+nNTWqVMnFRcXa+DAgRFVBQAA8kXkAd/dD0n6rKT1khab2cNmdouZDTSz9mbWLrx/i5n9VtID4brXhtsCsdKzZ08VFxera9eukqTOnTurpKRE/fv3j7gyAACQD8zdoy3ArDpxVkHXm4ybNGIdd/dcOIE4MmY2SNJOSdq5c6cGDRoUcUVoqn379mnZsmWaMmWK+vbtG3U5AACghe3atUuDBw+unR3s7rtaYr+5EIKtgfnGbAPETt++fXXnnXfKjI87AABovFwI+N+PugAgKseOHVNRUVHaEE+4BwAATRV5wHd3Aj7apIMHD6qsrExnnXWWJkyYQJgHAAAtIvKTbIG26MMPP9S8efN04MABvfjii3rqqacU9fkwAAAgHiIP+GbW8SS2vaAlawGyYf/+/Zo3b54OHToxCNSzzz6rtWvXRlgVAACIi8gDvqT1ZnZhUzcys29J+lMr1AO0mn379qm0tFRHjhxJau/Xr5/OPffciKoCAABxkgsB/xxJfwoDe4PMbJCZPSXpHkkdWrUyoAW9//77mjdvno4ePZrUfsopp6ikpOSTce8BAABORi4E/EMKgvo9ZvZUOH57SmY2U9ImSVcrGCrz2eyUCJycPXv2qLS0VB9//HFS+4ABA1RcXKzOnTtHVBkAAIibXAj4F0p6RkFgv1rSJjO7PXEFM+tuZgslLZDUU1KVpO9IGp/dUoGme/fdd1VWVqZjx44ltQ8ePFhz5sxRp06dIqoMAADEUeQB3913KAjqf6sguPeUtNDM5ofBfpyCo/a3K/gS8KakK9z9B+5eE0nRQCPt2LFDZWVlKi8vT2o/9dRTdccdd6ioqCiiygAAQFxFHvAlyQP3SLpC0lsKgvys8P5/SxoStv1a0kXu/lJUtQKNtW3bNi1YsEAVFRVJ7cOGDdOsWbPUsWOzB5ACAABIKycCfq0wuI+StFxBoO+roMbDkia5+13ufizDLoCcsGXLFi1cuFCVlZVJ7cOHD9fMmTPVoQPnhwMAgNaRUwE/VCxpgiRXEPIlqZukyWZGZ2XkvPLyci1dulRVVVVJ7WeeeaZmzJih9u3bR1QZAABoC3Im4JtZHzNbLulXkjpJOibp+5K2KQj6X1QwZv7oyIoEGqGoqEi33XabCgpO/PM655xzNH36dLVr1y7CygAAQFuQEwHfzD4nabOkSQrC/EsK+tp/X8EoOwvC9jMlPW9mf2dmlm5/QNTOOOMMTZs2TQUFBRoxYoSmTJmiwsLCqMsCAABtgLl7tAWY/ULSVxQE+BpJ90r6nrtX1VlvmoKTbHsp6L7zvKQ57r4tqwXnifB6AjslaefOnRo0KO3lBdCKdu3apQEDBiQdzQcAAJCCnDB48ODa2cHuvqsl9psLqeMuBeF+h6Tx7v53dcO9JLn7UknnS3oqXP9KSRuzWCfQZIMGDSLcAwCArMqV5LFQ0gXu/sdMK7n7bnf/rKRvSjqu4ORbIDLr16/XK6+8EnUZAAAAn8iFM/7ucPfFTdnA3X9qZk8o6JsPRGLNmjVatWqVzEwFBQU699xzoy4JAAAg+iP4TQ33CdttlnRxC5cDNMoLL7ygVatWSZLcXcuWLdObb74ZcVUAAAA5EPBPhrtXNLwW0LKeffZZPf7440ltNTU12rNnT0QVAQAAnJDVgG9mPw2nfmmWF5rZEDMb0sB+TjOz9Wb2UutUCqT2hz/8QU8++WS99vHjx2vcuHHZLwgAAKCObPfB/2sFQ1z+p6S9KZafrWA8/Bplrq2TpJHhvoBW5+5avXq1/vjH+ueBf/azn9WVV14ZQVUAAAD15cJJtqlwESvkDHfXE088oRdeeKHesuuvv16XXXZZBFUBAACklqsBH8gJ7q7HHntMa9asqbfsxhtv1JgxYyKoCgAAID0CPpCGu+vRRx/VSy/VP9Vj8uTJGjVqVARVAQAAZEbAB1KoqanRihUrtHHjxqR2M9PNN9+sCy+8MJrCAAAAGkDAB+pwdy1fvlybNm1Kajcz3XbbbRoxYkRElQEAADSMgA/UYWbq3bt3UltBQYGmTp2qc845J6KqAAAAGievL3QFtJaxY8dq7NixkqTCwkJNnz6dcA8AAPICR/CBNMaNGyd315AhQzR8+PCoywEAAGiUqAL+XWaW6kJXn1zh1sz+b4btU14JF2hJZqZrrrkm6jIAAACaJKqA/5UMy2qvTvu9bBSCtq2iokKHDh1S3759oy4FAACgRUTRB99aaAJOyvHjx7Vw4ULdf//92rs31Q9KAAAA+SfbR/DHZ/nxgJTKy8u1cOFC7dq1S5JUVlamuXPnqk+fPhFXBgAAcHKyGvDd/Q/ZfDwglWPHjmnBggXavXv3J20fffSRli5dqi9/+csy4wciAACQvxhFB23Kxx9/rPnz5+u9995Lau/cubNuu+02wj0AAMh7BHy0GUePHtX8+fPr9bfv2rWriouLOdEWAADEAgEfbcKRI0dUVlam/fv3J7V369ZNJSUl9a5cCwAAkK8I+Ii9Q4cOqaysTB9++GFSe48ePVRSUqJevXpFVBkAAEDLI+Aj1g4ePKjS0lIdPHgwqb1Xr14qLi5Wz549I6kLAACgtRDwEVsffvihSktLdfjw4aT23r17q7i4WN27d4+oMgAAgNZDwEcs7d+/X2VlZTpy5EhSe9++fTVnzhx169YtosoAAABaFwEfsfTCCy/UC/f9+vVTcXGxunTpElFVAAAAra8g6gKA1jBx4kSdeeaZn8z3799fJSUlhHsAABB7BHzEUmFhoaZNm6bTTz9dAwcOVHFxsTp37hx1WQAAAK2OLjqIrXbt2mnGjBmqqalRx44doy4HAAAgKwj4yHvuLjNLuax9+/ZZrgYAACBadNFBXtu6davmzZunY8eORV0KAABATiDgI2+98847WrRokXbs2KEFCxaovLw86pIAAAAiR8BHXnr77be1ePFiVVVVSZJ2796thQsXqqKiIuLKAAAAokUffOSdN954Q0uXLlVNTU1Se7du3VRYWBhRVQAAALmBgI+88uqrr+qhhx6qF+5HjBihW2+9VQUF/CgFAADaNgI+8samTZv08MMPy92T2i+88EJNnjyZcA8AACACPvLExo0btXz58nrto0aN0k033ZR2mEwAAIC2hoCPnPfSSy/pd7/7Xb32MWPGaOLEiYR7AACABAR85LQ1a9Zo1apV9dovu+wyTZgwgXAPAABQBwEfOev555/XE088Ua/9yiuv1LXXXku4BwAASIGAj5z00ksvpQz3Y8eO1bhx4wj3AAAAaTDsCHLSWWedpd69eye1jR8/XuPHjyfcAwAAZEDAR07q2rWriouL1atXL0nSddddp7Fjx0ZcFQAAQO6jiw5yVvfu3VVSUqJ33nlHF110UdTlAAAA5AWO4COn9ejRg3APAADQBAR8RMrdtWHDBtXU1ERdCgAAQCwQ8BGZmpoaPfLII3rkkUe0YsUKuXvUJQEAAOQ9+uAjEjU1NXr44Ye1efNmSdLGjRtVUFCgSZMmMUoOAADASeAIPrKuurpay5Yt+yTc19q4caPef//9iKoCAACIB47gI6uqqqq0bNkyvfHGG0nthYWFmj59uk455ZSIKgMAAIgHAj6ypqqqSg8++KDefvvtpPZ27dppxowZGj58eESVAQAAxAcBH1lRWVmpJUuWaMuWLUnt7du318yZMzVs2LCIKgMAAIgXAj5aXUVFhRYvXqxt27YltXfo0EGzZs3SqaeeGk1hAAAAMUTAR6s6fvy4Fi1apB07diS1d+zYUXfccYcGDx4cUWUAAADxRMBHqykvL9eCBQv07rvvJrUXFRVpzpw5GjBgQESVAQAAxBcBH63i2LFjmj9/vvbs2ZPU3qlTJxUXFzNaDgAAQCsh4KNVHDx4UB988EFSW5cuXVRcXKx+/fpFVBUAAED8caErtIr+/fvrjjvuUPv27SVJXbt21dy5cwn3AAAArYyAj1YzZMgQzZo1S71799bcuXPVp0+fqEsCAACIPbrooFUNHTpUd911lwoK+C4JAACQDaQunLSKioqMywn3AAAA2UPywkn54IMP9Mtf/lJr166NuhQAAACILjo4Cfv27VNZWZmOHj2qlStXqrCwUBdddFHUZQEAALRpHMFHs+zdu1elpaU6evToJ20rVqzQ66+/HmFVAAAA4Ag+muy9995TWVmZjh07ltTev39/nXrqqRFVBQAAAImAjybavXu35s+fr/Ly8qT2gQMHavbs2SoqKoqoMgAAAEgEfDTBzp07tXDhQh0/fjypffDgwbrjjjvUsWPHiCoDAABALQI+GmX79u1atGhRvSExhw4dqpkzZ6pDhw4RVQYAAIBEBHw0aOvWrVq8eLEqKyuT2k877TTdfvvtat++fUSVAQAAoC4CPjL685//rAceeEBVVVVJ7WeccYamT5+udu34CAEAAOQS0hnSeuutt/Tggw+quro6qf2ss87S1KlTCfcAAAA5iISGlA4dOpQy3J977rm67bbbVFhYGFFlAAAAyIQLXSGlHj166IYbbkhqO//88zVlyhTCPQAAQA4j4COtMWPGfBLyR44cqVtuuUUFBXxkAAAAchlddJDRpZdeqj59+ui0006TmUVdDgAAABpAwEeDTj/99KhLAAAAQCPR3wJau3attm/fHnUZAAAAaAEE/Dbu+eef18qVK7Vo0SLt2rUr6nIAAABwkgj4bdgzzzyjJ554QpJUUVGhBQsWaPfu3RFXBQAAgJNBwG+D3F2rV6/W6tWrk9qPHz9OVx0AAIA8x0m2bYy768knn9Rzzz1Xb9mECRN0+eWXR1AVAAAAWgoBvw1xdz3++ON68cUX6y373Oc+p0suuSSCqgAAANCSCPhthLtr1apVWrt2bb1lkyZN0ujRoyOoCgAAAC2NgN8GuLtWrFihDRs21Fs2efJkjRo1KoKqAAAA0BoI+G3A73//e7377rtJbWamW265RRdccEFEVQEAAKA1MIpOG/Daa68lzRcUFGjKlCmEewAAgBjiCH58FdbeOXLkyCeNBQUFmjRpknr06MGFrQAAACK0Z8+exNnCdOs1lbl7S+0LOcTMxkiqf0YtAAAActHF7r6uJXZEFx0AAAAgRjiCH1Nm1lHS+eHsPknVEZaD7DlFJ365uVjSexHWgtzCZwOp8LlAOnw2sqNQUt/w/mZ3P94SO6UPfkyFH5AW+ZkH+cPMEmffc3dOtIAkPhtIjc8F0uGzkVXbW3qHdNEBAAAAYoSADwAAAMQIAR8AAACIEQI+AAAAECMEfAAAACBGCPgAAABAjBDwAQAAgBjhQlcAAABAjHAEHwAAAIgRAj4AAAAQIwR8AAAAIEYI+AAAAECMEPABAACAGCHgAwAAADFCwAcAAABihIAPAAAAxAgBHwAAAIgRAj7QBpjZRDO728xWmNluM/NwGhR1bWh9ZjbNzJ42swNm9pGZvWxm/9vM2kddG6JhZmeZ2f80s3lmttnMqsK/Cd+JujZEx8zam9m1ZvYjM1trZgfNrNLM3jOzR8zsxqhrROO0i7oAAFmxSFKPqItA9pnZv0j6K0lVkp6SdFTSNZLulXSTmU1w92PRVYiIfEXB5wJIdLWkJ8L770l6VtJHks6VdJOCvxn/LunL7u7RlIjG4Ag+0DY8JOlvJd0gqV/EtSBLzOwWBSHuqKRL3f16d58i6QxJmyV9RtLfR1chIvSKpB9LukPSOZLmR1sOckSNpGWSxrp7f3ef5O4z3P18SbdLqpb0JUlzoiwSDTO+gAFtj5nV/sMf7O67Ii0GrcbM1ki6WNJ33P0f6yz7jKQ/Sjou6dPufiiCEpEjzGyepBJJ33X3f4i4HOQoM/tPSV+Q9KS7fzbqepAeR/ABIIbMbKCCcC8FXbSSuPuzknZK6ihpYhZLA5C/NoS3gyOtAg0i4ANAPI0Kbz90961p1llXZ10AyOSM8HZPpFWgQQR8AIinYeHtjgzr7KyzLgCkZGanSJobzi6LsBQ0AgEfAOKpW3j7UYZ1joa33Vu5FgB5zMzaSVqgYDS2zZL+LdqK0BCGyQRymJn9UNLkZmz6F2EfawAATtavJV0r6QNJU929IuJ60AACPpDbBkg6qxnbdW3pQpB3joS3XTKsU/s5OdzKtQDIU2b2MwUj5xyQdJ27vxVxSWgEAj6Qw9x9tqTZUdeBvLQtvM002kXtsm0Z1gHQRpnZTyR9TdJBSRPcfUPmLZAr6IMPAPFU+x9xbzNLdxLtmPB2fRbqAZBHwi6iX5d0SEG4X9fAJsghBHwAiKHwAmZrw9lZdZeHF7oarOBCVyuzWBqAHGdm90j6loJwf527r21gE+QYAj4AxNcPwttvm9lFtY1m1lvSr8LZX3AVWwC1zOwfJP0fBd1yCPd5yty94bUA5DUz+66kGxOaLg1vN0iqHQ1hvbvfldXC0OrCE+S+JqlS0pMKhs28VlJPSc8p+A/8WGQFIhLhF75fJTSdLqmPpF2S3k1ov9XduahRG2FmkyUtD2fXSXo1zar73f2b2akKzcFJtkDbcLpOhPpEiVcwLc9SLcgid/8rM3tO0lclXSGpvaR3JN0j6Z8Z7q7N6q7UfxMGhVOtjtkpBzniUwn3x+jEeTp1bZdEwM9hHMEHAAAAYoQ++AAAAECMEPABAACAGCHgAwAAADFCwAcAAABihIAPAAAAxAgBHwAAAIgRAj4AAAAQIwR8AAAAIEYI+AAAAECMEPABAACAGCHgAwAAADFCwAcAAABihIAPAAAAxAgBHwAAAIgRAj4AAAAQIwR8AAAAIEYI+AAAIHJmNtrMVpvZMTPbbWb/ZGbto64LyEfm7lHXAAAA2jAzO1/SC5K61Fm01N2nR1ASkNc4gg8AAKL29wrCfZmkKyXNkrRH0jQzuzzKwoB81C7qAgAAQJt3haS3JX3e3WskPW9mFZJ+I+lyBUf3ATQSR/ABAEDUjks6Gob7WgfD24+zXw6Q3wj4ABABM5trZh5OQxu7LK7i/Jwbem75/tzNbF5C/d7M5/K4pFFm9i0z62Zm50n6saRqSb9P87jj0jzu3Sf9pIA8R8AHkLMy/AfuZvaxmW03s4fNbJaZ0eUQyF/fkbRV0g8lHZb0iqQLJH3D3bdGWRiQjwj4APJVJ0lDJN0saaGCPrunRFtS7sv3o8XIabslnZ8wvdvYDd19j6S36jQvcfefZdhsbZ3HAxDiiBeAfHGfpF8lzHeVNEbSNyQNlXSxpOVmdpnn+fi/7j5P0ryIy0CWxOj9rnT3V5qzoZlNkHR9OPuRghF1zsi0jbt/pOBIf+0+mvPQQCxxBB9Avtjr7q8kTC+6+y8kXSTpz+E6l0iaFF2JAJrKzAok/Sic/W9JK8L754XLADQR/3AA5DV3PyDpnxKaboiqFgDNUqKgv71L+pakV8P2zpJOj6ooIJ8R8AHEwZqE+6fW3jGzu2v7m4fzPczsu2a2wcwOhsvmptqhmY03s1Iz2xKe0HvYzDab2Y/MbEBDBZlZLzO7x8zeMLNjZrbXzP7bzKY1YttG95M3syvN7D/N7M2wxgoz22VmvzOzr5pZz3C9ceHrcH/C5ltTnLw8Ltdej8Zq6vttZiPM7Dtm9vvwNTtuZkfN7O3wuV7WyMc9qeeW6f22EyPUbGvuPhLWGRDWud7MDplZpZm9H76Pi8N9dG9MzS3FzDopuMiVJC10941K6HajIPgDaCL64AOIg8qE+4WpVjCzMxQMxTc0047MrEhBCL49xeIR4fQVM5vp7itSrCMzO0dBV4PE4Fsk6VpJ15rZ/ZKeyVRHQ8Jg9F+SZqZYPDCcbpTUV9LdJ/E4efF6pHjMjO93+EVmdYpFHSQND6diM7vH3f8mw+Nk/bk1h5ldJel3kuoG+H7hNELBe7w/XC9bvq7gs1ou6e/CtlcTlp8vaVkW6wFigYAPIA4SR9DYnWad3ygIEj+X9IikAwpO4tteu4KZWbjejWHTCkkPStoiqUZBH/9vKBi95zdmdqW7r0t8kPAI6O91IvA9IKlU0l5JZyoINJ9XEKiaxYJ+ycslXRc2va3gBOR1Ci4K1F/BlUGnJ2xWO+LIzZL+IWy7XvVfr0+GJMyX1yONht7vdgpO5nxU0lOS3lAwPGM/SedJ+pqCX4O+bWZvufv9qiPC59YkZtZR0hIF4f6IghPWVyuos4OkYQo+L7dmua5+kv5POPtzd98R3t+iIPAXidFxgOZxdyYmJqacnCSNU9Av1yXdnWaddgouY1+73pyEZXcntFdLmtDA430xXLdC0g1p1umloAuBS3o2xfIfJTzm36RY3l5BKPSEaWiddeamWxYu/1rC8ockdUxTa4GkgU3Zdy6+Hk34vDT6/ZbUR1LPDMs7KPgFwCVtk1TYWs8t03uiYHQdl7StgeeeaR/XJCyblGEf7SR1b8br3qgaU2z3q3C7D+q+F5I2hMvebsL+Mv6tYGJqSxN98AHkJTPrYmZXS3pCUm1f6e0KjjCnMs/dH8+wP9OJo4n/6u6PpVrPg5N6vxXOXhl2BandRwdJXwhnN0m6J8X2leE6lXWXNUZ49L728XdJKnb342lqrXH3Ro9FXudx8uL1yCDj++3u+939YIblFTrxvE6VNDJxecTPrakSrw+RtruQu1e5++Es1CMzO0vBF0hJ+scU70VtP/zTzKxzNmoC4oSADyBffC/xZFBJRyU9reAovxR0N7glXdhVcDGsTM7ViRE7ftPAuokh6fKE+6MVHNGWpFJ3Tzkev7vvUnB0uDlGShoU3v8Pdz/azP00JF9ej3Qaer+TmFlHMxtiZueGJ9+OkJQ4sPqFdTaJ8rk11Z6E+5+PrIpk9yr4xWCbpF+kWF7bD79AEXdxAvIRAR9AvtuqoKvE+R6MwJHOpgb2Mybh/gspRpep++WiVuLR0cT+wmsbeLw1DSxPZ1TC/T82cx+NkS+vRzoNvd+1vwL9jZm9rKA//nYFwXJzOG1IWL1Pnc2jfG5N9ayCfu2S9C9mtiZ83leGv0RklZmNVXAuiCT9XfhrSV11T7QF0AScZAsgXyReydYVnIS3390PNXL7Aw0s79fMuhK7D3wq4f7eBrZ7v5mPlxg096Rd6+Tly+uRTsb3OxxK8ikFJ5g2Rqc681E+tyZx90ozu0nBLzHnKLjq88Xh4mNm9oykMkkPuHt1a9YSdv36cTj7kqTFaVZNDPgMlQk0EQEfQL7Y6+6vNLxaao0ILonDa96koOtAY6QLdym7bOSRvH49GvF+z1cQ7muvDbBE0uuS9kmqcHcPz3eo3Y+l3Ev4cCdZbqtz99fM7HwF7+VNksYqGAq0k4LRlK6X9HUzm+juDX1hORkzdOLLxWhJNUHmz4gj+EATEfABIPBBwv2DzfwykXjU+NOS3sqw7qebsX8pGKe8Vn8Fwzu2hnx5PZrMzM6W9Jlw9gfu/p00q34qTbuUvedWE9421KW2S0M7Cr/0PBxOMrP+Cq78/FUFYXu0pH9TKw2XGQ7X+YNmbErAB5qIgA8AgcT+1lcq6LfcVJsT7l+szH3kL86wLJP1CffHKvXFmjJp7NHmfHk9muO8hPsPZFhvTIZl2XpuR8Lbng2sd2ZTd+zueyTdb2YLJL0o6SJJk8ysk7sfa+r+GuEvdeJXk6+q4W5zcxX8stDHzPqH9QJoBE6yBYDAegXDTkrSl8IruDbVSzoRWuZYmr4HZjZQ0oRm7F+SXpa0M7z/F2bWtYnblyfc75hhvXx5PZoj8eBWpiPfX86wLFvPrfbCY93CoSVTPUYHSVOa+wDhcJ5/CGfbqeEvE01mZr104kq1D7v7fe6+JNOk4ArBteiHDzQBAR8AFIwZrxPdB06TVBZ2KUjJzLqb2V/W2cdxBf25pWA4y2+l2K6dpP9QcCGl5tb5o3B2UFhnyn2ZWYGZDajTnHgU9HSlkS+vRzO9nXB/bqoVzOwrOjHSSz1ZfG5/SLj/jTTr/FTBVXtTMrOrzGx4huUdJF0dzh5VcB5CS/uugmFFXcEFyRojsdsT3XSAJqCLDgCc8GtJ1ynogzxN0kVm9m8Khjk8JKm7pLMVjL0/WcHR8LpjeP8/SdMVhO97zWykghFK9iroRvF1BV021ilzF5BMfqngRMnaWjeb2a/CfX6sYKjKyyTNlLRIyYFqQ1h3kaS/N7NKBcND1vb1fjehe0a+vB5NtUHBhZRGSLozPLo8X8GXn0GSZkuaKuk5Bd2T0mn15+buG8zsBQXXF/hiGMZLFbz+Z0j6koIr1T4v6Yo0u7lW0nfN7I+SHlUwhOg+BSfYnqngl4qLwnX/y92rmlNrOmY2TEGXHEla5u4NDmEaSgz4HMEHmiLqS+kyMTExpZsUBMdmX35eQbD14E9do7dpr2A4zpqEx043bUmzj/MUhMV0292v4Mhx7fzQOtunXZawTmdJSxtRY73XTcFFhtKtPy7XXo/WeL8VHHX/MENNmxScxJzx89cSz60Ry89WMNRmusf4UQOfp7szbJs4PSypUzNe93nh9tvSLF8SLq+WdF4T/y1WhdtuaMT6zf5bwcQUt4kuOgCQwN0r3f0uBVcu/bmCkykPKQgnhyRtlPRfCo7wnpNmH68qCH4/VNAd5LiC0W9WS5rl7id9NVF3/9jdpyk4ejtfQV/tY5IqFPTRXyHpTkk/SbH5tyV9UcGJoR/qxFCQqR4nL16PpvLgomgjFfxKsV1SpYLXYo2kb0q6xBtxUmeW3us3FBxhvy+stULBEfjHJN3o7vW6B9XxYwV99O9TcDLtDgW/tpQrGP70QUmT3P0Wb+GTa83sEgW/ckjS0vD1ahQPzg3YGs6eE3Z5AtAI5u5R1wAAAPKUmc2TVCJpu7sPjbCO2kDzfXe/O6o6gFzAt2EAANAS2pvZiIT5N8Oj8K3CzLqo8VciBtoUAj4AAGgJA5R8fYBhavwVkJvjYjX9OhBAm0AffAAAACBG6IMPAAAAxAhH8AEAAIAYIeADAAAAMULABwAAAGKEgA8AAADECAEfAAAAiBECPgAAABAjBHwAAAAgRgj4AAAAQIwQ8AEAAIAYIeADAAAAMULABwAAAGKEgA8AAADECAEfAAAAiBECPgAAABAjBHwAAAAgRgj4AAAAQIwQ8AEAAIAYIeADAAAAMULABwAAAGKEgA8AAADECAEfAAAAiJH/D/zGh9dLNF/0AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAw0AAAMGCAYAAACwJmgjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAB7CAAAewgFu0HU+AACklklEQVR4nOzdeZxU1Z3//9enV/Z935XNDQRFFJRFERQVBRVl7cYkk8Ukk8wkM9/Zsk9+SSbJZDLJOFkmSjc7iCCIG2oQFUVQUBEB2fd9aRp67/P741Y3Vb1Wd1fVre5+Px+Petyqc8899anq6u77qXsWc84hIiIiIiJSmQS/AxARERERkfimpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERERERKqkpEFERMJiZmPNzAVu6/yOpyExs7lB7+2cSur8MKjOD2MbYXjMbH9QjH38jkc8ZjbVzFab2REzy9PvsdSGkgaROGdm62p7olDmJGNdLZ57ftDxzsz+Xy3a2F+mDWdmN9awjWUVtDGnkrp9KqgbfCs0szNm9rGZ/Z+Z3WNmVtPXJSIS78yzAFgKPAB0A1L8jUrqKyUNIlIhM2sJTClTnB6h5tNqEEdbYFKEnhcgEWgHDAK+CLwMbDSz/hF8DpF6T1cNGoQZgVuJ94G5wP8Ebit8iEnqqSS/AxCRuDUVaFam7Fozu8U5t6mObc8ws390zhWFUfdxILUOz5UJXAx6nAT0AEYBrQJltwDrzew259yBOjyXiEg8mR10/wfOuR/7FonUe0oaRKQywVcVcoCmQeW1TRq2A9cBXYAJwEthHFNyVSIfOAj0q+Fz/sA5t79sYeBKys+ArweKugBPAffXsH2RmHDO/RD4oc9hVMk518fvGCTETUH3/+JbFNIgqHuSiJRjZlfhfRMP4IDvBu2ebma17RM7L+h+tV2UAl2GRgQevgicqeXzluOcu+ic+wbwbFDxfWY2MFLPISLis7ZB94/5FoU0CEoaRKQiaUDJ4OA3gT8BpwKP2+ENqKuNrcDHgfsPmVmrKuqWxFEio5bPWZ2flnk8LkrPIyISa6U9SpxzxX4GIvWfkgYRCRGYSSj4ZH2ec64QWBxUVpcB0ZmBbVO8cRNVxTEr8PAMsKYOz1mVj4BLQY+vLhNHuWlGAzOSPGxmq8zsgJnlmtlxM3vVzNLMrNq/rcEzOgWV3WhmvzWzbWZ2NrB/ZSXHtzez75jZWjM7FIjhvJltN7P/MbNhNXkTzKy/mf2Xme0ws0uB599qZj82sx41aasGz1lumtHA6/p/Zva+mZ0ysxwz22NmfzKzoWG0OSeozbmBskQzm2Zmz5vZ3kCbzswmV9LGLWb2m8DrP2Vm+YGf75uB2NpWdFwVMU0OPHfJdJeHAz+32WYWdjdhq8WUq2Y22Mx+bmYbA68h38yyzWynmS0xsy+aWeug+qWzjwG9g5raZxXPRja2zPPVaPC0mfUOfMbeM7MTgfhOBB7/yMx6htFGhVMBm9ldZrY48DPPNW/WtPVm9g0zS67+3QMzu8bM/iMQz+lAfLlmdtLMPjCzZ8wsvaafiTCe9x4ze9rMdplZVuAze8DMVgQ+45XGH/wzKFNe7udXy9ii8jdR6gHnnG666RbHN2AdXhchB/ywhsf+MOjYdWEeMyromBygVaD8lqDyfKBjmO3tDzruXryxA4WBx29WcdyYoON+Hyh7L6hsTiXH9Qmq44A+YcR4JKj+n8rsGxv8HgItgZVlnqPsbQPQqZrnLK0f9LMqrKCtlRUc+3XgfDUxFOP1YU4J4/U/GfhZV9bWObwZrELeiwh8tucG/zzxuqIdqSKOQqr5HQi0U1J/Lt4Uk29V0t7kMse2xeuuVtX7WvJ+PBrG62uBl+xW1dZbeL8TIe9FGL/P1b0PbfAS/eIwXs/xKn5/qruNreL3vcrfPeBfq/ncucD+/1dNOyGfS7wpRf9UTbsfAB2qafeHVPw7WdFtfl1/HwLP2Ql4LYzn2wUMq6SN/WHG7GoZY9n3OyJ/E3WL/5sGQotIWelB9593zmUBOOc2mdkO4BogGW8av9/WtHHn3HEzW4uXQIwysz6ugoHKZeLIrGB/RJiZ4Z1glbhQzSFzgYfw/hG+jze4OxUYiXfCBd7J7+tmdnvJ+1dNDP8A/CDwcE+g3cuB9grK1P0v4FtBRaeBd4HjQBNgKHADXveyLwDdzOx+V0nXBDP7Ct7UiyUK8E4EDuB1RRsb2D4L/Et1r6UOegP/iXfing28AZzAO+m/E28mr0TgB2aW4Jz7fhhtpgKrgJvxTv424L2/qYQOEMXMugSe89qg4k/xrkRl453MjQLa431elprZbOfcgoqeOPBN8BpgdFDxcWA93mxe/YA7ArcVwN4wXk9YzKxb4LUEj885D7yD1689GeiF9760wvvclMjiyuchDe+EEMrPQlbiSC1j/D1XJiEA7z3+K9571AXvZ94iENvPzayLc+7vwmz+T3h/P4qBjcAOvJ4Vt3HlPbkJ7zXdV0l83+LK7yR4v2fv4b1/Du934hq8z0timHFVycw64/2M+gYV7wm8hjy8SSRuDZT3B/5qZvc6594p01QG3ucUQt/j/yE65hLhv4kSp/zOWnTTTbeqb8TwSgNel6ELQcfcX2b/vwTt+zDMGPYHHXNvoGx6UNn3KokjK7D/s6DyiF9pwDvJDq7/ZJn9Y4P25QW2e6ngWz7gS3hXYUrq/7GK5w1+zgK8k7rJFdRLDbr/haBjLgSeL7mCY+4EDgfV/cdKYuhP6De964AeZZ8f+E2Z1x/W5ymMz8bcCt7b+QSubgXVawssD6pbBIyspM05Zd7XktdV7nNQ8t7inVC+EXTcRmBoBfWb4J1Ilnx7nw1cVUkc3wtqrxjvdyexTJ0BeON8yr63lX22fxhUp8K/BXh92N8OqncZ78Sxos9JCt4VpBVh/O5W+XtUk2OAx8p8/p+p4GfeCm/ihOB6D1fS3tigOrlcOXm9pkw9w0u4g9scXcl7eCqozj9V9P4F6rYDnqCS37Ea/j68GPSc2cC0CuoMw0skSuodBNpU0Wbpa61rfJW83xH7m6hb/N98D0A33XSr+kZo0vA+8Psa3N4POnZdGM81I6j+SSCpzP7ehHZ3GBRGm8EnESVJQ3BysquaOP45qDwaScOyMvUHltk/tsz+bKBvFe19MahucWV1y7RZRAUnL2Xqt8TrFlPyj/rWaupfy5WE4DTQrII6C4Ji2FZRnaC6fy4Tc7WfpzA+G3PLtLkGSKikbhLeN9EldddXUm9OmTY/BppWE8fsoPrvhlH/h0H1/7eC/a3xxsmU1PlBFW11BI6Wibmyz3bw8/6wkjpfCqqTD4yqw89nf7i/R+Eeg5eg7Q2qsxSwStoyQru97K7o80H539FdQIsqYgz+na/o53dD0P636/o5D/N9u7PMa7i/irp9CO2e+P0q6kY7aYjY30Td4v/mewC66aZb1TdCk4a63NaF8VyvBNX/bRjx/CqMNoNPIu4NKv+/oPIRZY55mSsn0z2DyiOWNOB1ffh9mbovVlCv7D/IH4fxmjcH1f9ZJXWC21wSRpvfCqr/mzA/O38IOubhMvvacOVbWQfcV01bJd2Gwv48hRHf3JqcTOCt4h38vg2soM6cMnUmhhHHlqD6N4ZRvwlXErjzlDmRBb4W1N4hqhlXAvxNmZgr+2z/MKjODyup81lQnZ/X8eezv7rfo5oeg9ctsWR/HtClmva6E/pN9T0V1Cn7O1rhFYmg+hOD6n5Qwf6RQftX1PVzHub7tjjoOZ8Po/4/BtU/SuWJV+n7EsFYy77fEfmbqFv83zSaXUQAMLPuwN1BRfMqqRo8vmCmmdW2P29wO6WzNZlZ16A41jnnDtWy/RI/MrPfB93+YGar8LrvBPf3PVnmcThxh1PnzjDqL66+Skjf64Vh1Aevy02JO8rsG8mVlbZP4iVqlXLOncMbHxAtG5xze6qJ4RO8E/wS1b2354BXq6oQ+LwNCTzc7pz7qJo2cc7l4l2RAO+qwg1lqgTHtcQ5l19Nk4vxTozrxMx64/WzL/H7urYZBXcF3X/ROXe8qsrOuSOEfjar+5nnAqurqRP8GepTwf7gvzl3mtmAatqLhODX9XQY9Z/BS7QBuhI6fiXWovE3UeKQBkKL1C8/ct6qsGEJTMv4gzCrz+LKNMw7nHObK6n3LN6AuiZ4AxbvweuLW1NvAfuAq4DHzexbgZOrWVwZWBiJAdDVLiKHN5PKTOfcvmrqnXbO7Q6jvXeD7g8xM3OBr9uqeP7qjAi6/2UzSw/jmOCpUstOXRk8fen7Lrw53N/FG48SDe9WX6W0Xkns1U3ButU5V1RNneD3tWlggG44gger9uTK+iNl46r2dTnnLprZNsoMzq6F24Luf+6cO1zH9qIh+L3ZEOYx7+CNvYDq36OdzrmCauoELxJZbq0Y59whM3sP7/1sDXxgZvPwBqy/45y7HF7Y4Ql8YdMpqKja98U5d8rMdnElSbwJb8B3rEXrb6LEISUNIlIi+CS0sqsMOOeyzOx54PGg42qcNDjnnJnNxxsw2hbvpGA5Xv9y8PqEL69pu2EowhtkfRjYhJcEvRzmP7CDYT5HcL1UvPEIVc0YcqqKfZhZC67MYgNev/WaKjuPfMeg+7V5XZFWmxg6VlrLU+X7GtAt6P5VhHe1qaxIvbd1TRo6B92P2GxMERb83hwI85j9Qfc7VFO3utnPcM4VeJOmAZWfB30R70pdZ7yujF8L3ArNbCveLFivAK+HkZhWJ/g9yXHOhfO5Be99KUkaqntfoiVafxMlDql7kohgZrdwZapJhzdAtirBScWDZtamlk8d0kXJvMW7BgUeP+ecy65lu8Gucs5Z0C3JOdfOOTfYOfdF59xLNfjGK9xvGC+VedyywloBzrmcatprHebzVqXsyVGLoPu1fV2RVJsYqnxf8QaCV6chvbfB70ckfneiIfi9Cfc11+RnHpFvr51z24Ebgd8Rmogk4c1g9Pd4ScMBM6tNEh+sNu9J2brVvS/REpW/iRKfdKVBRCD0KoMB+4O+iatOE7yrDn+s6ZM653ab2Qa8/vUTCZ0HPmprM9RBszDrNS/zuKL57Wui7D/cdoExBnURfFJZ29cVSbWJoa7vK4S+t6uccw9FoM1sriQjsXxvg9+PFpXW8lfw5y7c1xzpn3lYnHMngL8NrKNyG946HSOB27nSrak78GczG+yc+9taPlVt3pOydWP2vpTh199E8YGuNIg0cmaWQt37qYfTv74yJclBMjAzcP8woYN440XZcQHh1Mujjv8gnXPnA+2U6FKX9gKCu0D0CvOYcF9/bdQmhtMReN4TQfcj8b6Cf+9t8Gu5KgLtRUNt3ps+Qfcj8TOvEedcnnPuTefcvzvn7sPrCjQRbz2MEt8MXLGtjeD3pKmZhdvVqE/Q/Zi/LwG+/E0UfyhpEJEH8BYoAm/V3I1h3jYFtTGiDjOMLCH0hBhgQZgDc2Oto5n1rb5ayODarREa8Pd+0P3bI9Be8Awyt5hZOP8PRlRfpdZuq75KuRg+jMDzbgy6P8TMIvGNf/B7W+3rCoxZKTsDU228F3R/gJn1qLRmeKIxUDX4vRkZ5jHB9SLxM68T51yBc+5lvFnetgXtmlTJIdW1dwRvBrMS1b4vgcQi+G+uX++Ln38TJcaUNIhI8FWCl5xzt4V5G07oP8xwZikqJ/AtetkpEuOxa1KJ2dVXCanz1wg97wtB979mNeg/VokNXEnWOgMTqqpsZq2BB+v4nFW53cyq/HbczK4ndLDwuro+qXNuL97aBuCtkPzFurZJ6M/8cTNLrqb+41yZ/rbWnHMHuPJaoHaDuoPlBt2v7jWEK/gK4n1m1qnSmoCZdcP7Vr+i433lnMsjdErfzpXVDUPwZ2ZOGPXncOUc7iiwsw7PXVd+/U2UGFPSINKImVlHQv8hz69hE8H1Z9fhRPYbwC2B202BQYjx6u+rOrk1szl4rwO8b2r/EqHn/SPeQmLgnTiHO5UuZtah7HoagWQteHaq/zCzplU08wui20/egN9W9hkKxP/fQUVvO+ciNcXkL4Lu/7uZDaq0Zvm4KurStJArA0R7Av+viuPbAz8O9/nC8J9B979jZqPq0Fbw1KTd69BOsFfxploGL1H6r8oqBj4Lv+NKwrIHeC1CcVTKzNqGeeUNQrvdnKy0VvWCx4RNMbN7KqsYWI/jX4OP9fmbe7/+JkqMKWkQadxmcOUf8kWqXxSprEVc6cLQi1ou2uOcO+Gc2xy4ban+CN/k4836sdbMyk2PaWZPEPrP/y9hzmFeLefcBeDvgop+YGYZZlZhv3Dz3G5mT+FNd1hRQvBjrlxtGASsCcwZH9xOqpn9CvgKEViArAr5eN075ppZyMwqZtYW77NWsjCYA/45gs89nyvfYLcE3jazrwTG+5RjZq3MbKaZrcM7qQ0R+Fn9R1DRj83s/5VN3MysP7AWb9rXSL23c7kyz38y8LKZPVnR1Q4zSzGzSWa2opK2gq8kTo1EcIFuh/8UVDTdzP4c6KIVHFtLvAXMHg4q/scYdVt8CNhlZt81sz4VVQj8XnwDeDSo+KXaPqFz7q9ljn/WzMq952Z2M17i1CZQdIjQZDrWfPubKLGn2ZNEGrfgrknPhTH1Zwjn3EEzewsYHdRe3HQfiIJ3gbPAFGBzYAGoz/C+MR0BXB1U9zPgu5F8cufcXDO7Gm9tC/C6hM0MzBu/A28WlhZ4i7oNoZrpRJ1zO83s7/EW6wMv6dsbOBk+gLf+wJ1Ae7yTg38Ffhm5VxTiZ8C38F7TFDN7A++b2y54yULwWIOfOefeLt9E7TjniszsMbwT+KF4M+P8Ae/qy7vAEbz1Pdrirbx7LVf+f1a2lsjPgPF4408M+DnwLTN7E+/n1A9vNp5EvHEVe/CS+Lq+lkIzexzv97A/3uw2/wP81MzeAY4FYu8N3Bx4rZWtbbAcL1kEeDJwwvohodNs/m91K3lXEONSMxvNle5TX8LrxvVXvMHcnYBxhF7Z+i/n3HM1eZ466ov3Wf+lmR3EW7yv5EpCF7yxKu2C6i9wzoW7WF1lnsBbyK4v3mtfamaf430+8oHrgFvxPk/gzfw1PXDV0C++/k2U2FLSINJIBbpgBK/OWtOuScHHlSQNj5jZ1yO0vkK8moP3De4DeP8UKxocvBGYHPjGOaKcc98PrB78G7xvqBPxTv5uruKw94EKV8l1zj0V+Ab8l3j/6FMoP77hAt7JfDQXY9oP3I+32F5XvG97yyoCfu6c+7dIP7lz7oyZ3Y7XvedLeP8fW+GteF6ZHCpZzds5l29m9+EN9L83UNwVmFam6ga8b6t/Vvvoyz33YTO7Dfg/vJM58L6Zvr+SQyr8fXXOrTWzRVyZXe3WwC3YC3gJT01j/IaZHQf+jSuLfVU0ZiYX+LFzLmLvTxiy8a5mlZyc96LymZ6K8RLMb9f1SZ1zJwKfwYVcuarWP3Arazcwwzm3qYJ9sTYHH/8mSuyoe5JI4xV8leEYtb9C8CxXurg0J/RyfYPjnMvCO7l5DFiD1z0gH+9byNfwvi0c6Zw7HsUYluJ9gzcHr9vObrwT+5LVrj8DnsPrzjTQOXdrYNBmZe39DhiM19Xmc7yT4fPAJ3gns4Odc6ui9HKC49iAt6DWv+GdjJ/B+2ztw+sHPTwaCUPQ8+c4576Gd5L2PbwBm0fwTlzz8abG3Aj8CW/wcpeqTmadc1nOuYnAI3hd/44H2jkKvA58ARjrnDsWhddy1jn3MDAcb9zAVrxpOYvwTop3AIvxPkMDq2hqZuD2At5UyLlV1K1pjP8eeO5/x5uN7TTeDG6n8RLdn+B9fmOZMOCcK0lc0/C61ryH9/udz5XPwTt4Y2EGOee+7pyrMCmvxXOfcM6NwxtrNhfvdzsb7/fgELAK73NzXZwkDHHxN1FiwzTrlYhI5cxsLFdm+3jTOTfWt2AaGDOby5Xk9Qnn3Fz/ohGRcOhvYuOlKw0iIiIiIlIlJQ0iIiIiIlIlJQ0iIiIiIlIlJQ0iIiIiIlIlJQ0iIiIiIlIlJQ0iIiIiIlIlTbkqIiIiIiJV0pUGERERERGpkpIGERERERGpkpIGERERERGpkpIGERERERGpkpIGERERERGpkpIGERERERGpUpLfAUj9YmapwKDAw1NAkY/hiIiIiEh5iUDHwP1PnHN5dW1QSYPU1CBgk99BiIiIiEhYbgE217URdU8SEREREZEq6UqD1NSpkjvvv/8+Xbt29TMWEREREQE+/vhjXnvtNQAuXrzI//3f/5XsOlXpQTWgpEFqqnQMQ9euXenRo4efsYiIiIgIcObMGVq3bl3RroiMP1X3JBERERGReu7GG29k0qRJUWtfSYOIiIiISANw0003cf/99zNixIiIt63uSSIiIiIiDcSwYcPo0qVLxNvVlQYRERERkXrCOceZM2di/rxKGkRERERE6gHnHK+++ip/+MMf2L9/f0yfW0mDiIiIiEicc87x0ksv8d5771FYWMjChQs5ePBgzJ5fSYOIiIiISBxzzvHCCy+wadOm0rKCggIWLlxITk5OTGLQQGgRERERkThVXFzM6tWr2bp1a0i5mXHffffRtGnTmMShpEFEREREJA4VFxezcuVKPvnkk5ByM+ORRx7h+uuvj1ksShpEREREROJMUVERzz33HNu3bw8pT0hIYOrUqVxzzTUxjUdJg4iIiIhIHCksLOTZZ59l586dIeWJiYk89thjDBgwIOYxKWkQEREREYkThYWFLF26lM8//zykPCkpiWnTptG3b19f4lLSICIiIiISBwoKCli8eDF79+4NKU9OTmb69OlcddVVPkWmpEFERERExHf5+fksWrSo3KJtKSkpzJgxg969e/sTWICSBhERERERn23ZsqVcwpCamsqsWbPo0aOHP0EF0eJuIiIiIiI+Gz58ODfffHPp4yZNmpCWlhYXCQPoSoOIiIiIiO/MjPvvv5+ioiJ27drF7Nmz6dKli99hlVLSICIiIiISB8yMSZMmkZWVRZs2bfwOJ4S6J4mIiIiIxImEhIS4SxhASYOIiIiISMxkZWUxf/58zp8/73coNaKkQUREREQkBi5cuMDcuXPZs2cPmZmZZGVl+R1S2JQ0iIiIiIhE2blz55g7dy7nzp0rfZyZmcnFixd9jiw8GggtIiIiIhJFZ8+eJSMjo8IrC845HyKqOSUNIiIiIiJRcvr0aTIyMsjOzg4p79ixI2lpabRo0cKnyGpGSYOIiIiISBScPHmSzMxMLl26FFLeuXNnZs+eTfPmzX2KrOaUNIiIiIiIRNjx48fJzMwkJycnpLxr167Mnj2bpk2b+hRZ7ShpEBERERGJoKNHjzJv3jxyc3NDyrt3786sWbNo0qSJT5HVnpIGEREREZEIOXToEAsWLCAvLy+kvFevXsyYMYPU1FSfIqsbJQ0iIiIiIhFw4MABFi5cSH5+fkh5nz59mD59OikpKT5FVndKGkRERERE6ujIkSMsWLCAgoKCkPKrr76aadOmkZyc7FNkkaHF3URERERE6qhjx4506dIlpKx///5Mnz693icMoKRBRERERKTOUlJSmDFjBt27dwdg4MCBPPbYYyQlNYyOPQ3jVYiIiIiI+KxJkybMnDmTd999lzFjxpCYmOh3SBGjpEFEREREJEKaNm3KXXfd5XcYEafuSSIiIiIiNbB79+5yA54bOiUNIiIiIiJh2rJlCwsWLGDJkiUUFhb6HU7MKGkQEREREQnD5s2bWbVqFQB79uxh6dKlFBUV+RxVbChpEBERERGpxsaNG1mzZk1I2eeff862bdt8iii2NBBaRERERKQKGzZsYO3ateXK77jjDgYPHuxDRLGnpEFEREREpBLr16/nr3/9a7nysWPHMnr0aMzMh6hiT0mDiIiIiEgZzjnWrVvH+vXry+0bN24cd9xxhw9R+UdJg4iIiIhIEOccr7/+Ou+88065fRMmTGDEiBE+ROUvJQ0iIiIiIgHOOV555RU2btxYbt/EiRMZPny4D1H5T0mDiIiIiAhewvDiiy+yefPmcvseeOABbr75Zh+iig9KGkRERESk0XPOsXr1arZs2VJu30MPPcSQIUNiH1QcUdIgIiIiIo1ednY2u3fvDikzM6ZMmcKgQYN8iip+aHE3EREREWn0WrZsSVpaGs2bNwcgISGBRx55RAlDgJKGGDCzgWb2TTOba2afmFmhmTkz+7c6tnu3mb1oZqfNLMfMdpjZT82sRaRiFxEREWksOnToQFpaGi1btmTq1Klcf/31focUN9Q9KTa+Bnwrkg2a2d8B/wk44C3gBDAK+BfgETO7wzl3OpLPKSIiItLQderUiW9+85skJyf7HUpc0ZWG2NgG/AqYCVwLzKtLY2Y2FPg1UATc75wb45x7DOgLvA4MBP5Qp4hFREREGqiioiKcc5XuV8JQnq40xIBz7v+CH5tZcR2b/GfAgGeccy8FPc9lM/sisBfvasM1zrkddXwuERERkQajoKCAxYsX06VLF+6++27MzO+Q6gVdaahnzCwFuD/wcGHZ/c65A0DJ8oVTYhWXiIiISLzLz89n4cKF7N27lw0bNrBu3Tq/Q6o3lDTUPwOAZoH75VceCS0fGv1wREREROJfXl4e8+fPZ//+/aVl69ev55133qn8ICml7kn1z1WB7Xnn3MVK6hwqUzdsZtajmipdatqmiIiIiJ9ycnJYsGABR44cCSlv0qQJV11V49OlRklJQ/3TMrC9VEWd7MC2VS3aP1R9FREREZH64fLly8yfP59jx46FlDdr1ozZs2fTpYu+Dw2HkgYRERERaZAuXbrEvHnzOHHiREh58+bNSUtLo1OnTj5FVv8oaah/SrokNa+iTsniblm1aL9nNfu7AJtq0a6IiIhIzFy8eJF58+Zx6tSpkPKSlZ87dOjgU2T1k5KG+md/YNvGzFpWMq6hZ5m6YXPOHa5qv6YlExERkXiXlZVFZmYmZ86cCSlv1aoV6enptGvXzqfI6i/NnlT/7AQuB+4Pq6ROSfmH0Q9HREREJH6cP3+euXPnlksY2rRpwxNPPKGEoZaUNNQzzrl8YE3g4Yyy+82sNzAy8HBFrOISERER8du5c+eYO3cu586dCylv164dc+bMoU2bNv4E1gAoaYhTZvYNM9thZpkV7P454IAnzOzeoGOaAX8BEoHlWg1aREREGouioiLmzZvHhQsXQso7dOjAnDlzaN26tU+RNQxKGmLAzG4ys/dKblxZ0fkrweVm1jXosA7AQKBX2faccx8C38FLDl40s7+a2RJgNzAOrwvTV6P5mkRERETiSWJiIvfccw8JCVdObzt16kR6ejotW7as4kgJh5KG2GgF3Bp0Kxmu36NMeWq4DTrnfgOMB14BBgMP4a3P8DPgFufc6UgFLyIiIlIfDBw4kEcffRQzo0uXLqSnp9OiRYvqD5RqmXPO7xikHgmsGH0I4NChQ/ToUd0C0iIiIiKx9fnnn9OjRw+aNm3qdyi+OHz4MD17ls6i37O62THDoSlXRURERKRB6d+/v98hNDjqniQiIiIi9cqhQ4fYvn2732E0KrrSICIiIiL1xoEDB1iwYAFFRUUkJCRwzTXX+B1So6ArDSIiIiJSL+zdu5f58+dTUFBAcXExy5Yt4/PPP/c7rEZBSYOIiIiIxL3du3ezaNEiCgsLS8uKi4vZsmWLj1E1HuqeJCIiIiJxbefOnSxbtoyioqKQ8muuuYZHHnnEp6gaFyUNIiIiIhK3tm/fzvLlyykuLg4pv/7665kyZQqJiYk+Rda4KGkQERERkbi0bds2nnvuOcquKzZ48GAeeuihkNWfJbqUNIiIiIhI3Pnoo494/vnnyyUMQ4YMYdKkSUoYYkxJg4iIiIjElQ8//JDVq1eXK7/55pu5//77MTMfomrclDSIiIiISNzYtGkTL774Yrny4cOHc++99yph8ImSBhERERGJC++99x6vvPJKufIRI0Ywfvx4JQw+UtIgIiIiInEhNze3XNmoUaO48847lTD4TEmDiIiIiMSFMWPGUFRUxNtvvw3A2LFjGTNmjM9RCShpEBEREZE4YWbcddddFBUV0axZM+644w6/Q5IAJQ0iIiIiEjfMTOMX4pAmuBURERGRmHLOkZWVVel+JQzxR0mDiIiIiMSMc441a9bwxz/+kVOnTvkdjoRJSYOIiIiIxERxcTGrVq3igw8+4PLly2RmZnLmzBm/w5IwKGkQERERkagrLi7m+eefZ+vWraVl2dnZzJs3j8LCQv8Ck7BoILSIiIiIRFVRURErVqzg008/DSlPSEhgwoQJJCXplDTe6SckIiIiIlFTVFTEs88+y44dO0LKExMTmTp1KgMHDvQpMqkJJQ0iIiIiEhWFhYUsW7aMXbt2hZQnJiYybdo0+vXr51NkUlNKGkREREQk4goKCliyZAl79uwJKU9KSmL69OlcffXVPkUmtaGkQUREREQiKj8/n8WLF7Nv376Q8uTkZGbMmEGfPn38CUxqTUmDiIiIiERMXl4eCxcu5ODBgyHlqampzJw5k549e/oUmdSFkgYRERERiYjc3FwWLFjA4cOHQ8qbNGnCrFmz6N69u0+RSV0paRARERGRiHj77bfLJQxNmzZl9uzZdO3a1aeoJBK0uJuIiIiIRMTYsWPp379/6eNmzZqRnp6uhKEBUNIgIiIiIhGRlJTEY489xtVXX02LFi2YM2cOnTt39jssiQB1TxIRERGRiElKSmLatGlkZ2fTtm1bv8ORCNGVBhERERGJqOTkZCUMDYySBhERERGpkfPnz7N06VJyc3P9DkViRN2TRERERCRsZ8+eJSMjg6ysLLKyspg9ezapqal+hyVRpisNIiIiIhKW06dPM3fuXLKysgA4cuQICxcuJD8/3+fIJNqUNIiIiIhItU6ePMncuXO5ePFiSHlubi4FBQU+RSWxou5JIiIiIlKl48ePM2/ePC5fvhxS3qVLF2bPnk2zZs18ikxiRUmDiIiIiFTq6NGjzJs3r9yg527dujFr1iyaNm3qU2QSS0oaRERERKRChw8fZv78+eTl5YWU9+zZkxkzZtCkSROfIpNYU9IgIiIiIuUcPHiQBQsWlBvk3Lt3b6ZPn64ZkxqZmCUNZvb9WDyPc+7HsXgeERERkYZq//79LFy4sNwA56uuuopp06aRkpLiU2Til1heafgh4GLwPEoaRERERGppz549LF68mMLCwpDyfv368dhjj5GcnOxTZOInP7onWRTbjkVSIiIiItIg7d27l0WLFlFUVBRSPmDAAKZOnUpSknq2N1Z+rNNwg3MuIZI3YLAPr0NERESkQenYsSOtW7cOKbv22mt57LHHlDA0cg1lcTddYRARERGpo5YtW5KWlkabNm0AuOGGG3j00UdJTEz0NzDxnVJGERERESnVunVr0tPTef/997n77rtJSGgo3zFLXcQyabgzsN0Xhbb3BbUvIiIiInXQpk0bJkyY4HcYEkdiljQ4596MYtuXgai1LyIiItLQ7Nu3j969e+tKgoRFnxIRERGRRub9998nMzOTF154Aec0NFSqp6RBREREpBF59913eemllwDYsmULL774ohIHqVa9ThrMrF7HLyIiIhJLb7/9Nq+++mpI2ebNm9m9e7dPEUl9UW9mTzKzznjrMQwK2l4DNPczLhEREZF455xj/fr1rFu3rty+O++8k/79+8c+KKlXopo0mNmtwAjgMvCKc+5AGMc0AW4gNDkYBHQoWxWtzyAiIiJSJeccb7zxBm+//Xa5fePHj2fkyJE+RCX1TVSSBjNLAuYDU/FO7gEKzezvnXO/D6rXl9DEYDBwNeW7TRnlFQF7Ixy6iIiISIPhnGPt2rW8++675fbde++93HrrrT5EJfVRtK40/Bh4DDgGfBO4APwK+E3g6kN/4HqgWZnjKkoOwLui8CrwGrArcNvjnCuMfOgiIiIi9Z9zjpdffpn333+/3L7777+fYcOG+RCV1FfRShrS8U70/9459xyAmc0CPgFmUHFykAvsALYBnwZu24GSkTnPOOeWRileERERkQbDOceaNWv44IMPyu178MEHGTp0qA9RSX0WraShbWAbPIYh+H42sBovKShJEvY654rLNmRW2cUHERERESmruLiY1atXs3Xr1pByM2Py5MkMHjzYn8CkXovWlKUbA9svB5V9JbA1vBmPOgCrnXPPO+d2V5QwiIiIiEj4iouLWblyZYUJw8MPP6yEQWotWknDd/FmTEo3sx1mthn4D2Af8Ape4nA38KGZzTWzHlGKQ0RERKTROHPmDDt37gwpS0hIYOrUqdxwww0+RSUNQVSSBufcB3hTra7G66rUCXgGuN05NxG4F69bUgIwG9hpZj8zs1bRiEdERESkMejYsSMzZswgOTkZgMTERB5//HGuvfZanyOT+i5qKyo757Y55yY75zo753o5577knDse2PcqMAT4InAUaAr8I7DHzL4VmLJVRERERGqod+/eTJ8+nSZNmjBt2jQGDBjgd0jSAEQtaaiO8zyDN/3q9/AGR7cH/hPvysPjfsUmIiIiUp9dddVVfPvb36Zfv35+hyINhG9JQwnnXK5z7qdAP+APeIu2XQUsNLPyEwuLiIiICMXFVc8hk5qaGqNIpDHwPWko4Zw75Zx7ErgBWIU3WPrmoCpt/IhLREREJN7k5eWRmZnJ5s2b/Q5FGom4SRpKOOd2OecmA2OB4BVJnjKzZWamof8iIiLSaOXm5jJ//nwOHDjAmjVr2LJli98hSSMQd0lDCefceufccLwVpPfjxfowsNXMFpuZpgEQERGRRiUnJ4fMzEwOHz5cWrZq1Sq2bdvmY1TSGMRt0lDCObcYuBb4B+A8XsxTgY/NbIGPoYmIiIjEzOXLl8nIyODYsWMh5c2bN6djx44+RSWNRdwnDQDOuXzn3K+BvsB/AQVAIjDNz7hEREREYiE7O5u5c+dy4sSJkPIWLVqQnp5O586dfYpMGot6kTSUcM6dd879PXANsBRwPockIiIiElUXL14kIyODU6dOhZS3atWKOXPm6CqDxES9XETNObcfmGZmt/gdi4iIiEi0XLhwgczMTM6ePRtS3rp1a9LT02nbtq1PkUljE7Okwcx6Be4ecc4VRaJN59ymQNuJQPdA2cFItC0iIiLip/Pnz5ORkcH58+dDytu2bUtaWhpt2rTxJS5pnGJ5pWE/UAwMBrZHuO1rgE8C7dfLqyciIiIiJc6ePUtGRgZZWVkh5e3btyctLY1WrVr5FJk0VrE+wbZ63r6IiIhIVJ0+fZrMzEwuXrwYUt6xY0fS0tJo0aKFT5FJY+bHt/IavCwiIiJSgby8PDIyMsjOzg4p79y5M7Nnz6Z58+Y+RSaNnR9Jw6tmVhDhNpMj3J6IiIhIzKWmpjJq1Cheeuml0rKuXbsya9YsmjVr5mNk0tj50T2pe4yfU0RERKTeGD58OEVFRbz66qt0796dWbNm0aRJE7/DkkYulklDRgyfS0RERKTeGjFiBM2bN2fgwIGkpqb6HY5I7JIG59wTsXouERERkfpu8ODBfocgUqperQgtIiIi0lDs27ePgwe1vJTUD0oaRERERGJsz549LFy4kAULFnDkyBG/wxGplpIGERERkRjatWsXixYtorCwkPz8fObNm8exY8f8DkukSkoaRERERGLks88+Y8mSJRQVFZWW5eXlsWnTJh+jEqmeH+s0iIiIiDQ6n376KcuXL8e50HVub7jhBh544AGfohIJj5IGERERkSj7+OOPWblyZbmE4cYbb+TBBx8kIUGdPyS+KWkQERERiaItW7awatWqcuU33XQTDzzwAGbmQ1QiNaOkQURERCRKNm/ezJo1a8qV33LLLUycOFEJg9QbShpEREREomDjxo28/PLL5cpvu+02JkyYoIRB6hUlDSIiIiIRtmHDBtauXVuu/Pbbb2fcuHFKGKTeidukwcySgLaBh+ecc4V+xiMiIiISjrfeeos33nijXPmYMWMYM2aMEgapl+JqqL6ZXWdm/21m24Fc4Hjglmtmn5nZ78zsBn+jFBEREamYc46zZ8+WK7/rrrsYO3asEgapt+IiaTCzBDP7NfAR8HXgGrzYLHBLAAYCTwJbzOw3ZhYXsYuIiIiUMDMmTZrEoEGDSsvGjx/PqFGjfIxKpO7ipXvSQmAqXoIA8CnwPnAi8LgzcAtwA5AI/C3QDXg8tmGKiIiIVC0hIYHJkydTVFREr169uPXWW/0OSaTOfE8azGwa8Bjg8K40fNk5V+Fa6mZ2C/AHYCjwqJlNc84tjlmwIiIiImFISEjg0UcfVXckaTDioYvPlwPbXcAdlSUMAIF9o4GdeFclvhL98ERERETKc85x+fLlSvcrYZCGJB6ShhvxrjL8wjl3qbrKgTq/CDpWREREJKaKi4tZtWoVTz/9NNnZ2X6HIxJ18ZA0pAS2H9fgmJK6yRGORURERKRKxcXFrFy5kq1bt3LmzBkyMzO5dKna7z1F6rV4SBoOBLata3BMqzLHioiIiERdUVERy5cv55NPPiktO3XqFAsXLsQ552NkItEVD0nDcrzxCY/U4JhH8bo0rYhKRCIiIiJlFBYWsmzZMrZv3x5SnpiYqEXbpMGLh6ThP4G9wFfM7LHqKpvZo3gDoPcBv4pybCIiIiIUFhaydOlSdu7cGVKelJTE9OnTGTBggE+RicSG70mDc+4CcDfwIbDIzFaa2WQz625myWaWFLg/2cxWAEsCdccFjhURERGJmoKCAhYtWsTnn38eUp6cnMyMGTPo27evT5GJxE48rNNQFPwQmBS4VXoIMAzYW8VlQOec8/21iYiISP2Wn5/PokWL2L9/f0h5SkoKM2bMoHfv3v4EJhJj8XBiXfbMP5wOgeo0KCIiIlGVl5fHggULOHToUEh5amoqs2bNokePHj5FJhJ78ZA0/MjvAERERESC5ebmMn/+fI4cORJS3qRJE2bPnk23bt18ikzEH74nDc45JQ0iIiISN3Jycpg3bx7Hjh0LKW/WrBmzZ8+mS5cuPkUm4h/fkwYRERGRePLqq6+WSxiaN29OWloanTp18ikqEX/5PnuSiIiISDyZMGFCyNWEFi1aMGfOHCUM0qgpaRAREREJ0rRpU2bPnk2nTp1o1aoVTzzxBB06dPA7LBFfqXuSiIiISBnNmjUjLS2N/Px82rZt63c4Ir5T0iAiIiJSgebNm9O8eXO/wxCJC+qeJCIiIo3SmTNnWL16NUVFRdVXFmnkdKVBREREGp1Tp06RmZlJdnY2ly9f5tFHHyUxMdHvsETilq40iIiISKNy8uRJMjIyyM7OBmDHjh2sWLGC4uJinyMTiV9KGkRERKTROHbsGHPnzuXSpUsh5WfPniU/P9+nqETin7oniYiISKNw5MgR5s+fT25ubkh59+7dmTVrFk2aNPEpMpH4p6RBREREGrxDhw6xYMEC8vLyQsp79erFjBkzSE1N9Skykfoh7pIGM+sLjAC6AM2Ap5xzp/2NSkREROqrAwcOsHDhwnLdj/r06cP06dNJSUnxKTKR+iNukgYzuwn4L+D2MrueBU4H1fs68APgAnCdc64gVjGKiIhI/bJ3714WL15MQUHo6cLVV1/NtGnTSE5O9ikykfolLgZCm9kDwDt4CYMF3SqSCTQFrgYeiEmAEWJmU81snZmdM7NLZvaRmf2jmdXoL5aZzTEzV83t3mi9DhERkfpg9+7dLFq0qFzC0L9/f6ZPn66EQaQGfL/SYGZdgUVAKvAp8F3gbeBiRfWdcxfNbBUwDZgIrIhRqHViZv8FfAsoBN4AsoG7gF8Ak8xsgnMup4bN7sF7rypypJahioiI1Hu7du1i6dKl5RZuGzhwII8++ihJSb6fAonUK/HwG/N3QHPgADDKOXcewKyyCw0ArAOmAzdHObaIMLPJeAlDNjDGOfdhoLwDXgJxB/ATvISpJt52zs2JXKQiIiL1386dO1m6dGm5dReuu+46Hn74YS3iJlIL8dA96V7AAb8uSRjCsCOwvSoqEUXevwS2Py9JGAACA7yfDDz8hpm1jnlkIiIiDUzbtm3LzYY0aNAgHnnkESUMIrUUD0lD78D2/RockxXYtohwLBFnZt2BWwIPF5bd75x7GziE1z3rvhiGJiIi0iB16tSJtLS00nUXhgwZwuTJk0lIiIfTHpH6KR66J5XEUJPf5JJv5LMjHEs0DA1szzrn9lVSZzPQM1B3UQ3a7mdm/w50wnsvtgGrNEWtiIg0dl26dGH27Nl88sknTJgwobpuzyJSjXhIGo4DffBmQ3ovzGOGB7YHoxFQhJV0oaoq1kNl6obrdspPUZtrZj90zv2ihm0BYGY9qqnSpTbtioiIxFq3bt3o1q2b32GINAjxcJ3uLbzpVaeGU9nMUoCv4I2DWBe9sCKmZWB7qYo6JVdMWoXZ5nHgp8CtQMfAcbfgTUebCvzczP6l8sOrdKia26ZatisiIhJxhw8f9jsEkUYhHpKGuYHtg2Y2vqqKgYQhE+iLlzT8ObqhxSfn3MvOuX9zzr3vnDvtnLvonNvsnEvnygxM3zezzn7GKSIiEk0bNmzgL3/5C2+99ZbfoYg0eL4nDc65dcASvKsNq83sF2Y2PKhKHzMbaWb/gLeOw1S8hOEPzrlPYx5wzZWsN9G8ijolA7qzqqgTrt/iraCdCkyoxfE9q7ndUvmhIiIisbF+/XrWrl0LwBtvvMGGDRt8jkikYYuHMQ0Ac/C68dyH9035d/ESA4DVQfVKRjE9h7fuQX2wP7DtWUWdkn37q6gTFudckZl9DnQAqhufUNHxVV7n1UAyERHxk3OOdevWsX79+pDytWvX0qdPH41hEIkS3680ADjn8pxzD+CNVdiLlxxUdDsMPOmce9Q5V1RZe3FmS2Db3swqG+g8LLD9sJL9NdU+sK1wVW0REZH6yDnH66+/Xi5hAJgwYYISBpEoipcrDQA45/4M/NnMrsM7ke4EJAJn8E6+P3TOuSqaiDvOucNmtgmvW88MvAHMpczsDrwrDXnAi3V9PjO7CRgQeFiTtS9ERETilnOOV155hY0bN5bbN3HiRIYPH17BUSISKXGVNJRwzm0HtvsdRwT9f8AK4J/M7KWSVaHNrD3wVKDO751zF0oOMLMpwM+AI865cUHlzYAngEznXMiVBDMbDWQEHr7tnFPSICIi9Z5zjhdffJHNmzeX2/fAAw9w8803+xCVSOPie9JgZmmBuzudc+W/PmgAnHMrzey/gb8F3jOz1/GmYB0HtAHeAb5X5rDWwECgSZnyFOD3wK/NbAve+g9JeFcXbgjU+QR4LPKvREREJLacc6xevZotW7aU2/fQQw8xZMiQ2Acl0gj5njTgTbnqgOlAg0waAJxz3zKzd4CvAyOBZGAP8HPgN865/DCbugz8BK/71jXA9UBT4BzwGrAMmFuD9kREROJScXExq1at4qOPPgopNzOmTJnCoEGDfIpMpPGJh6ThAt7iZJ/7HUi0OeeWAkvDrDuXK2tYBJfnA9+PaGAiIiJxpri4mBUrVrBt27aQ8oSEBB5++GGuv/56nyITaZziYfakfYFtW1+jEBERkbhQVFTEs88+W2HCMHXqVCUMIj6Ih6RhBd50qpP8DkRERET8d+TIEXbs2BFSlpiYyLRp07jmmmt8ikqkcYuHpOG3wAHga2Y2rrrKIiIi0rD16tWLKVOmlC4ompSUxPTp0+nfv7/PkYk0Xr4nDc65LGA8sAN42cz+ZGZjzaydaflhERGRRmnQoEE8+OCDpKSkMHPmTPr27et3SCKNmu8Doc0seGVnA74YuJXsr+pw55zz/TWIiIhI5A0ZMoT+/fvTvHlzv0MRafTi4YS7bFagqwsiIiKNhHOuyi8IlTCIxId4SBp+5HcAIiIiEns5OTksXryYO+64Q+MVROKc70mDc05Jg4iISCNz+fJl5s2bx/Hjx1myZAkzZszg6quv9jssEamE7wOhRUREpHG5dOkSGRkZHD9+HPDWZVi0aBEHDhzwOTIRqYzvVxpERESk8bh48SKZmZmcPn06pLxp06YavyASx3xPGsysV12Od84djFQsIiIiEj1ZWVlkZGRw9uzZkPJWrVqRnp5Ou3btfIpMRKrje9IA7KvDsY74eA0iIiJShfPnz5OZmcm5c+dCytu0aUN6ejpt2rTxJzARCUs8nHBrilUREZEG7Ny5c2RkZHDhwoWQ8nbt2pGWlkbr1q19ikxEwhUPScMTYdRpDgwAHgG6A+8A/xfNoERERKTuzpw5Q0ZGBhcvXgwp79ChA2lpabRs2dKnyESkJnxPGpxzGeHWNbN/AH4DfA14xzn3T1ELTEREROrk1KlTZGZmkp2dHVLeqVMnZs+eTYsWLXyKTERqql5NueqcK3DOfQNYB/yDmd3jc0giIiJSgRMnTjB37txyCUOXLl1IT09XwiBSz9SrpCHIH/HGQnzT70BEREQkVMksSZcvXw4p79atG2lpaTRr1synyESktupr0vB5YDvM1yhERESknJYtW3LjjTeGlPXo0YPZs2fTtGlTn6ISkbqor0lD6zJbERERiRNmxoQJE7jlllsA6NWrF7NmzaJJkyY+RyYiteX7QOhaSg9sj/kahYiIiFTIzJg4cSLt2rXjpptuIiUlxe+QRKQO6lXSYGb9ge/gJQ0OeNHfiERERKQyZsZtt93mdxgiEgG+Jw1mtjeMaglAGyB4MueTwE+jEZOIiIiEZ8+ePbRp04b27dv7HYqIRJHvSQPQpxbHvAt8wTmn7kkiIiI+2blzJ8uWLaN58+bMmTOHtm3b+h2SiERJPCQN4SzuVgxcBPYBbzrntkY1IhEREanS9u3bWb58OcXFxaVTrD7xxBO0bq05SkQaIt+TBufcE37HICIiIuHbtm0bzz33HM650rILFy6wadMm7r77bh8jE5Fo8T1pEBERkfrjo48+4vnnnw9JGACGDBnCXXfd5VNUIhJtvicNZjY6cHeTcy4nzGOaAMMBnHProxWbiIiIXPHhhx+yevXqcuXDhg3jvvvuw8x8iEpEYsH3pAFYhzdmYTCwPcxjugcdFw+vQUREpEHbtGkTL75YfqbzW2+9lXvuuUcJg0gDFy8n3LX9S6O/UCIiIlH23nvv8corr5QrHzlyJHfffbcSBpFGIF6ShppKCGyLfI1CRESkgXvnnXd47bXXypWPGjWKO++8UwmDSCNRX5OG3oHtBV+jEBERacDefPNN1q1bV6587NixjBkzJvYBiYhvYp40mFmvSnZ1NbPsag5PBfoCPwEc8GkkYxMRERFwzvHXv/6Vt956q9y+cePGcccdd/gQlYj4yY8rDfsqKDPg1Vq0lVnHWERERKSM4uJiDh8+XK58woQJjBgxwoeIRMRvCdVXiTgrc6usvKpbHvBL59zTsQtbRESkcUhMTGTatGn06nWlc8B9992nhEGkEfPjSkPZFaCfwetq9D3gSBXHOSAXOAZscc5V15VJREREaiklJYUZM2awYMEChgwZwk033eR3SCLiIyu7omPMAzArxksIBjnnwl2nQXxiZj2AQwCHDh2iR48ePkckIiLRVFxcTEKCHx0TRKS2Dh8+TM+ePUse9nTOle9vWEPxMHvSnYFtRWMdREREJIqKi4spLCwkJSWlwv1KGEQE4iBpcM696XcMIiIijVFRURErV64kKyuLmTNnVpo4iIj4/vWBmbU2s+8Hbl3DqN81qH7zWMQoIiLS0BQVFbF8+XK2bdvGwYMHWbx4MQUFBX6HJSJxyvekAZgJ/BCY6Zw7Fkb944FjfgBMi2JcIiIiDVJhYSFLly7ls88+Ky3bt28fy5cv9zEqEYln8ZA0TMQbCL00nMrOG7m9GG/q1UlRjEtERKTBKSgoYMmSJezatSukPCkpieHDh/sUlYjEO9/HNABDAtsNNTjm3TLHioiISDXy8/NZvHgx+/aFzj2SnJzMjBkz6NOnjz+BiUjci4ekoVNgG07XpBLHA9vOEY5FRESkQcrLy2PRokUcOHAgpDwlJYWZM2eGLOQmIlJWPCQNuUALoFkNjimpWxT5cERERBqW3NxcFixYwOHDoVO1p6amMnv2bLp37+5TZCJSX8TDmIaSKwzDanBMSd3jVdYSERFp5HJycpg3b165hKFp06akp6crYRCRsMRD0vAW3qDmJ80subrKgTpP4g2efjvKsYmIiNRbly9fJjMzk6NHj4aUN2vWjPT0dLp2rXamcxERID6ShmcC2/7AQjOrtJtSYN8iYECZY0VERCTIpUuXyMjI4Pjx0IvyLVq0YM6cOXTurGGBIhI+38c0OOc2mNlivDUXHgaGm9mf8a5AlHRd6gqMBr4E9MC7yvCsVpMWERGp2PPPP8/JkydDylq2bEl6ejrt27f3KSoRqa98TxoCvgB0AO7GSwp+VEk9C2zXAukxiEtERKRemjhxIidOnCArKwuA1q1bk5aWRrt27XyOTETqo3jonoRzLhe4B/g2cAQvOajodgj4W+DewDEiIiJSgbZt25Kenk6LFi1o06YNc+bMUcIgIrVm3gLL8cPMDG/RtqF4Vx8ATgMfAh+5eAu4kTGzHnjJG4cOHaJHjx4+RyQiIlU5ffo0KSkptGrVyu9QRCRGDh8+TM+ePUse9nTOHa6qfjjipXtSqUBSsCVwExERkTro0KFD9ZVERKoRF92TREREpHZOnTrFG2+8gS7Ei0g0xd2VBhEREQnPiRMnyMzM5PLlyxQUFDBhwgS8Xr4iIpHle9JgZr3qcrxz7mCkYhEREakvjh07xrx588jJyQHgvffeIzExkXHjxilxEJGI8z1pAPbV4VhHfLwGERGRmDl8+DDz588nLy8vpPzAgQMUFRWRlKR/jSISWfHwV0Vfh4iINGLnzp3jueeeY9OmTWzfvp2cnBxatGjBoEGDuO2223jooYdo3ry532HGjYMHD7JgwQLy8/NDynv37s306dOVMIhIVMTDX5YnwqjTHBgAPAJ0B94B/i+aQYmISHSdOnWKf/3Xf2XevHnk5pZfemfdunX87ne/o3Xr1nz5y1/m+9//Pi1atPAh0vixf/9+Fi5cSEFBQUj5VVddxbRp00hJSfEpMhFp6OJunYaqmFky8Bvga8AvnXP/5HNIjY7WaRCRSHjhhRf4whe+wKlTpwDo3Lkz/fr1o0uXLqSkpJCTk8Px48fZuXMn586dA7wT4wULFjBixAg/Q/fN3r17WbRoEYWFhSHl/fr147HHHiM5OdmnyEQk3kRjnYZ6lTSUMLPXgbHAfc65V3wOp1FR0iAidbVgwQLS0tIoLi6mU6dO3HffffTu3bvCwbvFxcXs2rWLl156iQsXLtCkSRNeeOEFxo0b50Pk/vn8889ZsmQJRUVFIeUDBgxg6tSp6pIkIiGikTTU13Ua/og3FuKbfgciIiLh27hxI+np6RQXFzN06FC+/OUv06dPn0pn+0lISOCaa67hySefpH///uTm5jJ58mT27t0b48j9s2PHDhYvXlwuYbj22mt57LHHlDCISEzU16Th88B2mK9RiIhI2HJzc5kzZw5FRUVcd911TJo0KewT3tTUVB5//HF69uxJdnY2X/ziFxvFYmbbt29n2bJlFBcXh5TfcMMNPPLIIyQmJvoUmYg0NvU1aWhdZisiInFu3rx57NixgxYtWvDAAw+QkFCzf0FJSUlMmTKF5ORk1q1bx9q1a6MUaXzYtm0bzz77bLmEYfDgwUyZMkUJg4jEVH1NGtID22O+RiEiImF76qmnABg5ciTNmjWrVRvt2rVj6NChAPzv//5vxGKLR82aNSuXWA0dOpSHHnqoxgmXiEhd1au/OmbW38z+gJc0OOBFn0MSEZEwHDt2jK1bt2JmDBkypE5t3XTTTQC88sor5WYSakiuvvpqHn/88dIrCsOGDWPSpElKGETEF76PnjKzcEazJQBtgJZBZSeBn0YjJhERiawPPvgAgA4dOtT6KkOJTp06lU7LumPHDm644YZIhBiX+vfvz9SpUzlw4ADjx4+vdMC4iEi0+Z40AH1qccy7wBecc+qeJCJSDxw+7M321759+zq3lZCQQLt27Th+/DiHDh1q0EkDwMCBAxk4cKDfYYhIIxcPSUMmXlejqhQDF4F9wJvOua3RDkpERCIn0jMdlXzj3lBmUDp58iSdOnXyOwwRkUr5njQ45+b4HYOIiERX586dATh//nyd23LOla4SXdJufeWcY/369axbt46HH36YQYMG+R2SiEiFfE8azCwtcHenc26jr8GIiEhU3HzzzYD3jXpeXh6pqam1buvs2bPk5uaSnJxcr7smOed44403ePvttwFYsWIFiYmJXHfddT5HJiJSXjxMwTAXeAbo7XMcIiISJb169aJfv34UFxezbdu2OrW1detWAEaPHl2n5MNPzjnWrl1bmjCUlC1fvrz0KoqISDyJh6ThQmD7eZW1RESk3jIzvvrVrwLwzjvvkJ+fX6t2srOz2bx5M0Bpe/WNc46XX36Zd999t9y+e++9l7Zt2/oQlYhI1eIhadgX2OqvpIhIA/alL32Jbt26cfbsWV5//fUaH19cXMwLL7xATk4OgwcP5qGHHopClNHlnGPNmjW8//775fZNmjSJW265xYeoRESqFw9JwwrAgEl+ByIiItHTunVr/vSnPwGwceNG3nzzzbBnPyoqKmLNmjXs2LGDpKQk5s6dS3JycjTDjbji4mJWrVpVumZFCTNj8uTJpYvWiYjEo3hIGn4LHAC+Zmbj/A5GRESi5/777+dnP/sZAH/9619ZsGBBtX34T5w4wdNPP80HH3yAmfHMM88wdOjQWIQbMcXFxaxcubJ0PEYJM+Phhx/mxhtv9CcwEZEwWTzMcW1m/YBngevxBkUvBD4Gzrl4CFBKmVkP4BDAoUOH6NGjh88RiUh99D//8z985zvfIS8vDzNjwIAB9O/fn86dO5OamkpOTg7Hjh1j586d7Nvn9WJt3bo1f/nLX3jkkUd8jr5mioqKeO6559i+fXtIeUJCAo8++ijXXnutT5GJSEN1+PBhevbsWfKwp3PucF3b9D1pMLOi4IdUv9BbMOec833a2MZESYOIRMqOHTv45je/yWuvvVZlvYSEBKZMmcJvf/tbunfvHqPoIqOoqIhnn32WHTt2hJQnJiYydepUrfQsIlERjaQhHk64rZrHIiLSAF1zzTWsXbuW7du3s3DhQjZt2sT27dvJycmhRYsWDBo0iFtvvZXZs2fTu3f9m5W7sLCQpUuX8vnnoZMDJiUl8fjjj9OvXz+fIhMRqbl4SBp+5HcAIiLin+uuu45///d/9zuMiNu1a1eFCcP06dO5+uqrfYpKRKR2fE8anHNKGkREpMG57rrruOuuu3jjjTcASE5OZubMmfXyqomIiO9Jg4iISEM1atQoioqKeO+995g5c2ZwH2MRkXrF96TBzEYH7m5yzuWEeUwTYDiAc259tGITEZHYyc3N5fDhwxQWFtKhQwc6dOjgd0gRMWbMGIYOHUrr1q39DkVEpNZ8TxqAdUAxMBjYXnXVUt2DjouH1yAiIrVw9OhR/vznP7Ny5Uq2bdtGYWFh6b7u3bszZswYvvzlLzN69GjM4neeDOdcpfGZmRIGEan34mFxN6j9jEnx+x9EREQqlZeXx7/+67/Su3dvfvjDH7J161YKCwtJTk6mSZMmmBlHjhxh4cKFjB07ljvuuKPctKXx4tKlS2RmZnLs2DG/QxERiZr6+i19SbJTVGUtERGJO0ePHmXixIl8/PHHAPTs2ZNhw4bRu3dvWrdujZmRl5fHsWPH+OSTT/j444/ZsGEDQ4YM4ZlnnmH69Ok+v4IrsrOzyczM5NSpU8ybN4/09HQ6d+7sd1giIhFXX5OGkqknLvgahYiI1MipU6e488472bVrF82aNeOBBx7guuuuK1cvNTWVPn360KdPH0aPHs2qVavYs2cPM2fOJCEhgccff9yH6ENlZWWRmZnJmTNnAMjJySEzM5M5c+bQsWNHn6MTEYmsmCcNZtarkl1dzSy7msNTgb7AT/BWjv40krGJiEj0OOf40pe+xK5du2jdujVz5syhbdu21R7XunVrZs6cyZo1a/jggw/44he/yC233OLrWgcXLlwgIyODc+fOhZQnJyeTlFRfv48TEamcH3/Z9lVQZsCrtWgrs46xiIhIjDz77LOsWrWKxMREpk+fHlbCUCIhIYH777+f06dPc+DAAb761a/y6qu1+bdRd+fOnSMzM5Pz58+HlLdt25a0tDTatGnjS1wiItHkx0BoK3OrrLyqWx7wS+fc07ELW0RE6uKXv/wlALfffjtdunSp8fEJCQk89NBDJCQksHbtWrZu3RrhCKt39uxZ5s6dWy5haN++PXPmzFHCICINlh9XGp4o8/gZvK5G3wOOVHGcA3KBY8AW51x1XZlERCROfPzxx2zatInExERuvfXWWrfTrl07rr32Wj799FP+8pe/8Lvf/S6CUVbt9OnTZGRkkJ0d+u+nY8eOpKWl0aJFi5jFIiISazFPGpxzGcGPzeyZwN2Vzrlw12kQEZF65J133gGgT58+NG/evNbtXLx4kZSUFACefvpp3n77bVq2bMmNN97IiBEjmDx5Ms2aNYtIzMFOnjxJZmYmly5dCinv3Lkzs2fPrtNrEhGpD+JhtNadgW1FYx1ERKQB+OijjwDo2rVrrY6/cOECa9euZfv27RQXFwNw+fLl0i5Kb731Fr///e9p06YNX/3qV/ne974XseTh+PHjZGZmkpOTE1LetWtXZs2aFZUkRUQk3vieNDjn3vQ7BhERia6SMQC16cLz8ccfs2bNGvLy8gDo0aMHffv2pXPnziQnJ5OTk8OxY8fYsWMH586d4+c//znPPvssixYtYtiwYXWK++jRo8ybN4/c3NyQ8u7duzNr1iyaNGlSp/ZFROoL35OGcJlZKtAGOOWcK/Y5HBERqYHk5GQACgsLa3Tcxo0beemllwAvWbjvvvvo1q1buXqDBw9m/Pjx7Ny5kxdffJHdu3dz55138vLLL3P77bfXKuZTp06RmZlZmqyU6NmzJzNnziQ1NbVW7YqI1Ed+zJ4UwsxamNl9gVu5r6DMrIOZLQeygKPAOTP7dSCJEBGRemDAgAGANzYgXLt37y5NGEaOHMkXvvCFChOGEgkJCVx77bU8+eSTXHXVVWRnZzNp0iSOHj1aq5jbtWtXbi2IPn36MGvWLCUMItLo+J40AI8ALwB/AC4H7zCzBOAlYDKQjDfdakvg28DCWAYpIiK1V9JNaP/+/aVjEqqSm5vLqlWrALj55psZP348CQnh/ctq2rQp06dPp2vXrpw7d46vfOUrOOdqHHNiYiKPPPJIacJz9dVXM2PGjNKB2CIijUk8JA33BLYrKuh29Dhwc+D+h8BvAlsDJpvZvbEJUURE6uLOO++kXbt2ZGVlsXPnzmrrb968maysLNq2bcs999yDmVV7TLCUlBSmTJlCYmIiL7zwAhs3bqxV3ImJiUydOpWxY8cyffr00m5WIiKNTTwkDTfgrcGwoYJ9aYHtB8BtzrnvACOA9wPl6dEPT0RE6qpJkyZ86UtfAmDt2rXk5+dXWre4uJjNmzcDMHr06Fp/s9+pUycGDRoEwFNPPVWrNgCSkpIYM2YMSUn1ZhigiEjExUPS0CmwDZly1cySgdF4CcX/OOcKAZxzBXhdmQwYHsM4RUSkDv75n/+Zbt26cfbsWV588cVKuymdOXOG8+fPk5SUxPXXX1+n5xw6dCgAL7/8cpVdlHbv3l1uDQYREbkiHpKGdoFt2a+dbgGaBu6/XGbfrsC2S7SCEhGRyGrTpg1PP/00ZsbWrVtZuXJluZmJgNKBy127dq3z+IFu3bqRkJDAqVOnOHToUIV1Pv30UxYuXMi8efPKrcUgIiKeeEgaSgY/dypTPjqw3e2cO1Fmn/6qi4jUQyNGjCAxMRHw1l946qmn2Lp1KwUFBaV1Ll68CHizF9VVcnIyrVu3BuDw4cPl9n/88ccsX74c5xwnTpxg/vz55dZkEBGR+FinYQ8wBBgLvBpUPgWva9L6Co7pGNiGP3efiIj47oMPPqCwsJDmzZuTnJzM+fPnWblyJS+//DLdu3enY8eOpVcaajr4uTIl7ZTtnrRly5bSGZpKHD16lA8//JCRI0dG5LlFRBqKeEga1gJDgSfN7C3gLeAJvO5JDlhdwTGDA9vaTb4tIiK+2Lp1K+AtkDZlyhQ2btxYOlPSnj172LNnT2ndc+fO1fn5CgsLuXDhAgBdulzp0bp582bWrFlTrv4tt9zCiBEj6vy8IiINTTx0T/ot3sJtLfHWa7gA/Fdg32dUnDTcj5dQbIlBfCIiEiHnz58HoGXLlqSmpjJ69Gi++tWvlu4fOnQogwd73wsdO3asxitIl3XixAmKiopo06ZN6UJtGzdurDBhuO2225g4cWLErnCIiDQkvicNzrljwCTgON6MSCW3vcCjrsz1ZDPrC4wKPHwthqGKiEgdlUxbGpwMlAxQbtWqFQ899BCTJ0+mRYsW5Ofns2PHjjo9X8mVjbvvvhszY8OGDbz8ctm5NeCOO+5gwoQJShhERCrhe9IA4Jx7C7gKGAfMBO4CrnHOVfTfoivwE+DHhI6BEBGRONe/f38ATp70hqSdPXuWlStXAtC5c2cAEhISuPlmb13P9evX1/pqw7lz50qThq997Wu89dZbrF27tly9MWPGcNdddylhEBGpQjyMaQDAOZcP/DWMem8Db0c/IhERibRhw4YBcPz4cU6dOsX8+fNLpzkNnl51+PDhvP/++5w8eZI333yTcePG1eh5ioqKeP755ykoKGDUqFGYGW+88Ua5enfddRejRo2qoAUREQkWF1caRESkcejbty833ngjRUVFLFu2jAsXLtC8eXMALl++XFqvefPm3H///QC89dZbbNiwocrF2YIVFhby3HPPsX//fpo1a8Y3v/lN1q8vPxHf+PHjlTCIiIRJSYOIiMSMmfH1r38d8LooJSQkcO+99wLe1YfgxOCGG25g9GhvyZ5XX32VxYsXlw6krsyhQ4f44x//yKeffkpycjK/+tWv2L59e7l69957r6ZVFRGpgbjpniQiIo3DnDlz+M53vsPFixe57bbbuPbaa0lOTiYnJ4cDBw7Qp0+f0rp33nknTZo04bXXXmPnzp3s2rWLgQMH0rdvXzp37kxKSgqXLl3i2LFj7Nixo3QBt8TERJ5//nn27dtX7vkfeOCB0jETIiISHiUNIiISUydPnuTixYuYGcOHDycxMbF0Ubd33303JGkwM0aOHEnfvn156aWX2L9/Pzt27Kh2VqXvf//7TJw4kezsbObOncuZM2cAePDBBxk6dGg0X56ISIOkpEFERGLq/fffB7zZktq0acO6detKV4HeuXMn27dv57rrrgs5pnPnzsyZM4eTJ0+ybds2jhw5wunTpykqKiIlJYUuXbqQn5/P7t27adOmDd/4xjcAaNGiBWlpaWRmZjJ69OjSNSBERKRmLNyBZSIAZtYDOARe3+EePXr4HJGI1Bcff/wxixYtYunSpezdu5fExESaNm1KdnY24K0SfejQIVJTU0lLS6N79+5ht/3ZZ5+xdOlSnHNkZGSQlpYWsr+oqIjExMSIvh4RkXh1+PBhevbsWfKwp3PucF3bVNIgNaKkQURq6uOPP650BqNgZkazZs24dOkSKSkp3HPPPdx0001Vrp9QVFTE22+/zfr163HOMXr0aN544w2tuSAijVo0kgZ1TxIRkahwzvHrX/+af/mXf6GgoICEhAQGDhxIv379SgcxX758uXQQ84EDB7h06RIJCQnk5+ezevVqPvzwQ4YPH07fvn1p0aJFabtZWVns2LGD999/n/PnzzN16lQKCgqYNGmSEgYRkShQ0iAiIlHxve99j5/+9KcADBw4kPvuu4/WrVuXq9enTx9GjBjBkSNHWLVqFSdOnMDMMDOOHDnCihUrAG98QmpqKjk5OaVrOiQlJTF9+nT69esHeCtMO+eUOIiIRJjWaRARkYhbsmRJacIwYcIEpk2bVmHCEKx79+78zd/8DYMGDcI5R0JCArfeeisdOnQAIDs7mzNnznD58mXMjJ49e/LNb36zNGEAyMrK4uWXX47eCxMRaaRidqXBzHpFo13n3MFotBsNZjYV+DpwI5AC7AYWAL9xzhXUor2bgX8CRgOtgWPAC8BPnHMnIxW3iEhNnDp1qnQBtzvuuKNGi6glJSUxefJkLl26xN69ezly5AhPPvkk+fn5nDlzhsLCQpKTk+nYsSPJycnljjezcjMviYhI3cWye1L5FXbqzlFPuliZ2X8B3wIKgTeAbOAu4BfAJDOb4JzLqUF7jwKL8F7/Jrz3dxjwDWCqmd3hnNsd0RchIhKGp556ijNnztCpUyfGjh1b4+MTExN58MEHeeqppzh8+DB79+6lX79+1c6mlJubS+vWrendu3ctIxcRkcrEsnuSRekW98xsMl7CkA3c6py7xzn3CNAf+AS4A/hJDdrrBmTgJQxfcc4Nd849DgwA5gOdgYWmTr0iEmNFRUX86U9/AmDUqFEkJdXue502bdqULsK2efPmauvn5+eTmZlJampqrZ5PRESqFstv6Z+I4XPFm38JbH/unPuwpNA5d9rMngTeAr5hZj9xzl0Io71vA82A15xzfwpqr8jMvgZMAm4BJgCvROg1iIhU67PPPuPo0aOkpKRw7bXX1qmtG2+8kY0bN7J3716Ki4tJSKj8e64VK1Zw9OhR+vfvX6fnFBGRisUsaXDOZcTqueKJmXXHO4EHWFh2v3PubTM7BPQE7sPrclSdKVW0l21mq4DZwMMoaRCRGPrwQ+97kS5duoR9lSEvL4+CggKSkpJo0qRJaXnnzp1JSkoiPz+fc+fO0b59+wqPv3TpEjt27ADg5ptvruMrEBGRitSL8QD13NDA9qxzrrJxHZvxkoahVJM0mFlLoGSqkMqu2W/GSxqGVrJfRCQqjh8/DkDbtm0rrVNcXMyePXvYunUrhw8f5sKFKxdYW7VqRffu3Rk8eDADBgygdevW5OXl0bJly0rb27RpE845br/9drp27Rq5FyMiIqWUNETfVYFtVbM8HSpTtyp9gu5X1mZN2gsRWPG5Kl1q2qaINB4lQ6mccxXuP3DgAKtWreLMmTMV7s/KyiIrK4vPPvuMNm3a0LRpU6ZPn05KSkqF9c+fP8+7774LwJNPPhmBVyAiIhVR0hB9JV+PXaqiTnZg26oG7VXVZk3aK+tQ9VVERCrWs2dPgHJJgXOOdevW8eabbwLQpEkThgwZwsCBA+nSpQtNmjQhLy+P48eP8/nnn7Nly5bSlZ5L1mkoq6CggOeee468vDxGjhzJ448/Ht0XJyLSiMVV0hCY7WcI3joGHYCmVDNDknPux9GPTEREwnHTTTcBcOLECfLz80uvELz22mu88847AAwdOpR77rknZPwCeIlEnz596NOnD2PGjOH1119nzZo1pKWllat78eJFli9fzsGDB2nZsiXPPPMMiYmJMXiFIiKNU9wkDWaWDvwAqOkE2/GeNFwMbJtXUadFYJtVg/ZK2qxotqWatFdWz2r2d8FbF0JEpJz+/fvTr18/du/ezSeffMLNN9/Mjh07ShOG+++/n1tuuaWaViAlJYWJEyfy8ccfs2DBAmbPnk1xcTEAH330EevWrSMnJ4cWLVqwZs0aBgwYENXXJSLS2MVF0mBmP8Vb2TicdQVcmPXixf7AtqqT8ZJ9+6uoU+JA0P1eeOs81KW9EM65w1Xt19IPIlIVM+NrX/sa3/nOd1i/fj39+/dn9erVANx+++1hJQzBBg8ezIULF8jMzOTChQvk5ORQWFgIQL9+/VixYgU33HBDxF+HiIiEiuXibhUys1uBfw48XIvXPemmwGMHJAIdgYnAKryE4W2gq3PO9/jDsCWwbW9mlQ1MHhbYfljJ/lLOuSygZKXnYZVUC7s9EZFI+/KXv0yfPn24cOECS5Ys4dKlS7Rr165Wq0MDjBw5ksLCQi5evEhhYWFpl6cjR47QtGnTCEYuIiKViYeT7q8FtgeA+51zHwMFJTud54xz7hXn3GTg63grKL9sZhVPpxFHAt/cl3TnmVF2v5ndgXdlIA94McxmV1TRXgu8xd0AnqtRsCIiEdCiRQv+8pe/YGYcOXIEgNtuu43k5ORatZeYmMjIkSMBaN68Od/97nfp3bs3OTk5fOELXyjttiQiItETD0nDSLwrCv/tnCusrrJz7n+B5cBgoL7Mr/f/Bbb/ZGYlV1Ews/bAU4GHvw9eDdrMppjZDjN7vYL2/gu4DNxtZn8TdExioL02eInKq5F8ESIi4brrrrv41a9+Vfq4rl2Irr32WhISErh06RKXLl1i8uTJJCcns379el5/vaI/kyIiEknxkDSUrMTzaVBZ6ddGZlbRV1Pz8Lop1Yv59ZxzK4H/xhug/J6ZvWRmz+J1MxoEvAN8r8xhrYGBQN8K2jsKzAGKgD+Z2XtmthjYhbeo2wlghqtsonQRkRgYOtRbX7JNmzY0a9asTm0lJyfTuXNnwFtArm3btqXtP/XUU1UdKiIiERAPSUNJUnAyqCw76H7HCo4pGazbr4J9cck59y28JOddvKsr9+G9jn8C7nLO5dSwvWXArXhdkK4GpuCN//gf4Ebn3O4qDhcRibpz584BVLmac02UtJOT4/25LEkaXnvtNXVREhGJsniYPekU0I3QhchO4H2LngBcCxwtc0zJ1YnI/CeKEefcUmBpmHXnAnOrqfMB8EidAxMRiYKkJO9fTFFRUUTaK5k1KSHB+76rU6dOJCcnk52dza5du7jmmmsi8jwiIlJePFxpKOmWVPrX3jmXH1ReURek2YFt2WRCRETiRN++Xu/KU6dOReRKwKlTpwBo164d4A2QbtOmDQBHj+rfgYhINMVD0vAW3viEO8uULwmUf8HMfmRm15vZcDN7CngMb/D0S7ENVUREwnXNNdfQrFkzCgoK6nxSf+bMGS5evIiZ0aVLl3L7NYRLRCS64iFpWBnYPmBmwV2Ufou3OFkC8G/Ax3jjAb4S2H8O+FlsQhQRkZpKTExk8uTJAHzwwQd1amvz5s2Ad/WiZJ2G4uJizp8/D0C3bt3q1L6IiFTN96TBOfcp3lWGKQSNsXDOXQ6Uv4N3xSH4tg0YV93qxSIi4q8nn/Rmxi4oKKj11YDTp0+zaZO33E3witInTpygoKCA5s2bM2DAgLoHKyIilYqHgdA4596spPwAMMrMBgLX48X7uXNuS0X1RUQkvtx+++186Utfolu3bphZjY/Pz8/nueeeo7CwkKuvvjokOdi6dSsA48aNIzExMVIhi4hIBeIiaaiOc24nsNPvOEREpGa2bNlCjx49anVsVlYWy5Yt4+jRozRp0oQHH3ywNPE4f/48W7Z43x+VXM0QEZHo8T1pMLPRgbubwl2rwMyaAMMBnHProxWbiIjUTUVXFzZt2kR+fj433XQTTZs2Lbc/Ly+PrVu38te//pXc3FxSU1OZNWtW6UxJRUVFrFy5kvz8fO644w7Gjx8f7ZchItLo+Z40AOvwVoAeDGwP85juQcfFw2sQEZEKDBkyhKKiIl544QUADhw4wJo1awBYt24dvXr1omvXrjRp0oS8vDyOHz/OgQMHyM/PB7wBzpMnT6ZTp06ANzZixYoV7N+/n6ZNm/L000+XrtsgIiLREy8n3DXv6Fq340REJEZuvvlmioqKuHjxIv/2b//G7bffzm9/+1s++eQT9uzZw549e8od0759e4YPH86wYcNITEzEOceBAwd44YUXOH36NMnJySxbtoz+/fv78IpERBof83tuazMrxltzYZBzLqwrDWbWH2+MQ6FzLiWa8UkoM+sBHAI4dOhQrfsqi0jj5pxj69at/OY3v2HRokWlqz23b9+evn370r9/f1JTU8nJyeHYsWPs2LGD48ePA9ClSxfmz5/PuHHj/HwJIiJx6/Dhw/Ts2bPkYc9IzDhaX5OGu4FXgTPOuY7RjE9CKWkQkYo45zh//jxt27at8bF79+7l7//+71m1alWV07KmpqaSnp7Oz372s9JVoUVEpLxoJA0x755kZr0q2dXVzLKrOTwV6Av8BC/R+DSSsYmISM0553j99dfZuHEjs2bNonfv3jU6/uqrr2blypXs37+fJUuWsHnzZrZv305ubi4tW7Zk0KBB3HbbbUybNo327dtH6VWIiEhVYn6lwcyKyhYFtrUJ5G+cc0/XMSSpAV1pEJFgzjleeeUVNm7cCEBycjKzZ88O/oZLRERiLBpXGvyYcqLs6s6VlVd1ywN+qYRBRMQ/zjlefPHF0oQBvNmNFi5cSE5OWDNoi4hIPeHH7ElPlHn8DN5Vhu8BR6o4zgG5wDFgi3Ouuq5MIiISJc45Vq9eXbrAWrB77rmnwvUXRESk/op50uCcywh+bGbPBO6uDHcgtIiI+Ke4uJhVq1bx0UcfhZSbGVOmTGHQoEE+RSYiItESD+s03BnY7vM1ChERqVZxcTErVqxg27ZtIeUJCQk8/PDDXH/99T5FJiIi0eR70uCce9PvGEREpHpFRUUsX76czz77LKQ8ISGBqVOncs011/gUmYiIRJvvSYOIiMS/wsJCnn32WXbu3BlSnpiYyOOPP66VmUVEGri4SxrMrCVwFdASSKyuvnNufdSDEhFpxAoKCli6dCm7d+8OKU9KSmLatGn07dvXp8hERCRW4iZpMLO/AZ4EBhE6FWtVHHH0GkREGpqCggIWL17M3r17Q8qTk5OZMWMGffr08ScwERGJKd9PuM0sEVgOTCop8jEcEREJ8uGHH5ZLGFJSUpg5cya9evXyKSoREYk135MG4KvAg4H7J/DWbfgAOAsU+xWUiIjA8OHDOXHiROl6DKmpqcyaNUurwYuINDLxkDSkBbbbgVHOuXN+BiMiIleYGZMmTaK4uJhdu3Yxa9YsunXr5ndYIiISY/GQNFyLNzbhJ0oYRETij5nx4IMPcuHCBdq2bet3OCIi4oMEvwMIsrP6KiIi4oeEhAQlDCIijVg8JA2fB7btfI1CRKQRu3jxIgsXLuTChQt+hyIiInEoHpKGxXgzJj3gdyAiIo1RVlYWc+fO5fPPPyczM5OLFy/6HZKIiMSZeEga/hv4CPiamY3yOxgRkcbk/PnzzJ07l7NnzwJw9uxZMjIyyM7O9jkyERGJJ74nDc65POAevGlW15rZf5jZEDNr4nNoIiIN2rlz55g7dy7nzoXOQeGco6ioyKeoREQkHvk+e5KZBf9nMuA7gRtm1a7z5pxzvr8GEZH65syZM2RkZJTritShQwfS0tJo2bKlT5GJiEg8iocT7rKZgVaEFhGJolOnTpGZmVmuC1KnTp2YPXs2LVq08CkyERGJV/GQNPzI7wBERBqLEydOkJmZyeXLl0PKu3TpwuzZs2nWrJlPkYmISDzzPWlwzilpEBGJgWPHjjFv3jxycnJCyrt168asWbNo2rSpT5GJiEi88z1pEBGR6Dty5Ajz588nNzc3pLxHjx7MnDmTJk0094SIiFROSYOISAN36NAh5s+fT35+fkh5r169mDFjBqmpqT5FJiIi9UXcJQ1m1hcYAXQBmgFPOedO+xuViEj9dOTIEebNm0dBQUFI+VVXXcW0adNISUnxKTIREalPfF+noYSZ3WRm64FdQAbwC+AHQKcy9b5uZifN7HMzS/YhVBGReqNDhw507tw5pKxv375Mnz5dCYOIiIQtLpIGM3sAeAe4HW/K1ZJbRTKBpsDVwAMxCVBEpJ5KTU1l5syZdOvWDYD+/fszbdo0kpP1nYuIiITP96TBzLoCi4BUYDswEah0VSHn3EVgVeDhxKgHKCJSzzVp0oRZs2YxcuRIHn/8cZKS4q5nqoiIxDnfkwbg74DmwAFglHPuFefcpWqOWYd3JeLmKMcmItIgNG3alPHjx5OYmOh3KCIiUg/FQ9JwL+CAXzvnzod5zI7A9qqoRCQiUg/t3bu33IBnERGRSIiHpKF3YPt+DY7JCmxbRDgWEZF66aOPPmL+/PksXbqUwsJCv8MREZEGJh6ShpLOtTWJpXVgmx3hWERE6p0PP/yQlStX4pxj9+7dPPvssxQVFfkdloiINCDxkDQcD2yvrsExwwPbgxGORUSkXtm0aROrV68OKdu5cyeffPKJTxGJiEhDFA9Jw1t4g5qnhlPZzFKAr+CNg1gXvbBEROLbe++9x4svvliufOTIkdx4440+RCQiIg1VPCQNcwPbB81sfFUVAwlDJtAXL2n4c3RDExGJT++88w6vvPJKufJRo0Zx9913Y1bZUjciIiI15/tk3c65dWa2BHgcWG1mvwWWB1XpY2Zt8BZ++zJeNyYH/ME592ms4xUR8dubb77JunXrypWPHTuWMWPGxD4gERFp8HxPGgLm4C3odh/w3cDNBfYFd9Yt+ersOeBbsQpORCQeOOf461//yltvvVVu37hx47jjjjt8iEpERBqDeOiehHMuzzn3AN5Yhb14yUFFt8PAk865R51zmhpERBoN5xyvvfZahQnDhAkTlDCIiEhUxcuVBgCcc38G/mxm1wHDgE5AInAG2AJ86JxzVTQhItLgOOd45ZVX2LhxY7l99913H7fccosPUYmISGMSV0lDCefcdmC733GIiPjNOceLL77I5s2by+2bNGkSN910kw9RiYhIYxOXSYOIiHiys7PZsWNHSJmZ8dBDD2laVRERiZm4GNMgIiIVa9myJWlpaTRr1gzwEoYpU6YoYRARkZiKmysNZpYE3A+MwptWtSXeeIaqOOfcuGjHJiLip44dO5KWlsb8+fOZOHEi1113nd8hiYhIIxMXSYOZjcFb5K1XcHEVh7jAfg2KFpFGoXPnznzzm98kJSXF71BERKQR8j1pMLMhwMtACl4ikAt8DpwHin0LTEQkxoqKikhISKh0NWclDCIi4hffkwbgh0AqkAf8PfCMcy7X14hERGKsoKCAJUuW0LVrV+66665KEwcRERE/xEPScAdeN6OfOuf+1+9gRERiLT8/n8WLF7Nv3z727NlDUlISY8aM8TssERGRUvEwe1KTwPZlX6MQEfFBXl4eCxYsYN++faVl69atY8OGDT5GJSIiEioekob9gW2yn0GIiMRabm4u8+fP5+DBgyHlqamp9O7d26eoREREyouHpGFlYDvazyBERGIpJyeHefPmcfjw4ZDypk2bkp6eTvfu3X2KTEREpLx4SBp+CxwDvmtmfXyORUQk6i5fvkxmZiZHjx4NKW/WrBnp6el07drVp8hEREQq5nvS4Jw7BdwH5AAbzexvzKy1z2GJiETFpUuXyMjI4Pjx4yHlLVq0YM6cOXTu3NmnyERERCoXD7Mn4Zz72MxGAxuBPwD/a2angcvVH+r6Rj1AEZEIuHjxIpmZmZw+fTqkvGXLlqSnp9O+fXufIhMREalaXCQNZvYI8BegJd4CbwZ0CuNQrQgtIvVCVlYWGRkZnD17NqS8devWpKWl0a5dO58iExERqZ7vSYOZjQAWA4mBogPAx2hFaBFpIM6fP09GRgbnz58PKW/Tpg3p6em0adPGl7hERETC5XvSAPwbXsJwAZjpnHvR53hERCKmqKiIefPmlUsY2rVrR3p6Oq1atfInMBERkRrwfSA0MAyvm9EPlDCISEOTmJjI+PHjSUi48ue2Q4cOzJkzRwmDiIjUG/GQNDQLbN/2NQoRkSi55ppreOSRRzAzOnXqxJw5c2jZsqXfYYmIiIQtHron7QOu50ryICLS4Fx33XVMmzaNHj160KyZ/tyJiEj9Eg9XGp7Dmy3pHr8DERGJpgEDBihhEBGReikekoZfA58D3zazYX4HIyJSW0eOHOGzzz7zOwwREZGI8z1pcM5dBMYB24D1ZvZTMxtsZk18Dk1EJGwHDx4kMzOTZ599lp07d/odjoiISET5njSYWRHe2gzDgSbAPwFbgEtmVlTNrdDP2EVEAPbv38/8+fPJz8+nuLiYZcuWsXv3br/DEhERiRjfkwaurABtFTwO5yYi4pu9e/eyYMECCgoKSsuKior44IMPfIxKREQksuJh9qQf+R2AiEhtfP755yxZsoSioqKQ8gEDBvDII4/4FJWIiEjk+Z40OOeUNIhIvbNjxw6WLVtGcXFxSPm1117LI488QmJiok+RiYiIRJ7vSYOISH2zfft2li9fXi5huOGGG5gyZUrI6s8iIiINgZIGEZEa+OSTT1ixYgXOuZDyG2+8kQcffFAJg4iINEgxSxrMrFfJfefcwYrKayO4LRGRaNq6dSvPP/98ufKhQ4cyadIkzDQ3g4iINEyxvNKwL7B1ZZ53XwV1w1W2LRGRqPjggw944YUXypUPGzaM++67TwmDiIg0aLE84a7sP6r+04pIXHv//fd56aWXypXfeuut3HPPPUoYRESkwYtl0vBEDctFROLCpUuXypXdfvvtjBs3TgmDiIg0CjFLGpxzGTUpFxGJF2PHjqWwsJANGzYAMHr0aMaOHauEQUREGg2NBxARqYaZcffdd1NUVESzZs0YPXq03yGJiIjElO9Jg5mlBe7udM5t9DUYEZFKmJnGL4iISKMVDxOKzwWeAXr7HIeINHLOOS5evFjpfiUMIiLSWMVD0nAhsP3c1yhEpFFzzvHyyy/zxz/+kdOnT/sdjoiISFyJh6ShZJ2Gtr5GISKNlnOONWvW8P7773Pp0iUyMjI4e/as32GJiIjEjXhIGlbgrdUwye9ARKTxKS4uZtWqVXzwwQelZdnZ2cybN4/CwkIfIxMREYkf8ZA0/BY4AHzNzMb5HYyINB7FxcU8//zzbN26NaTczBg3bhxJSb7PFSEiIhIXfE8anHNZwHhgB/Cymf3JzMaaWTvTqEMRiZKioiKee+45Pv7445DyhIQEpk6dyg033OBTZCIiIvHH96/RzKwo+CHwxcCtZH9VhzvnnO+vQUTql6KiIp599ll27NgRUp6YmMjUqVMZOHCgT5GJiIjEp3g44S6bFejqgohETWFhIcuWLWPXrl0h5UlJSTz++OP069fPp8hERETiVzwkDT/yOwARaRwKCgpYsmQJe/bsCSlPSkpi+vTpXH311T5FJiIiEt98Txqcc0oaRCTq8vPzWbRoEfv37w8pT05OZubMmfTurfUlRUREKuN70iAiEm15eXksXLiQgwcPhpSnpqYyc+ZMevbs6VNkIiIi9YOSBhFp8N5+++1yCUOTJk2YNWsW3bt39ykqERGR+iPukgYz6wuMALoAzYCnnHOn/Y1KROqzMWPGcOzYsdKxDE2bNmX27Nl07drV58hERETqB9/XaShhZjeZ2XpgF5AB/AL4AdCpTL2vm9lJM/vczJJ9CFVE6pmSmZH69OlD8+bNSU9PV8IgIiJSA3FxpcHMHgCWASmETrnqKqieCfwcaA88AKyIeoAiUu8lJyczffp0Ll68SPv27f0OR0REpF7x/UqDmXUFFgGpwHZgItCysvrOuYvAqsDDiVEPUEQajJSUFCUMIiIiteB70gD8HdAcOACMcs694py7VM0x6/CuSNwc5dhEpB65cOECy5cvJzc31+9QREREGpR46J50L143pF87586HecyOwPaqqEQkIvXO+fPnycjI4Pz581y4cIGZM2eSmprqd1giIiINQjxcaShZUen9GhyTFdi2iHAsIlIPnT17lmeeeYbz588DcOjQIRYtWkR+fr6/gYmIiDQQ8ZA0lFztqEksrQPb7AjHIiL1zOnTp5k7dy5ZWVkh5ZcuXVLSICIiEiHxkDQcD2yvrsExwwPbg1XWEpEG7eTJk8ydO5eLFy+GlHfq1Ik5c+bQooUuRoqIiERCPCQNb+ENap4aTmUzSwG+gjcOYl30whKReHb8+HEyMjK4dCl03oQuXbqQnp5O8+bNfYpMRESk4YmHpGFuYPugmY2vqmIgYcgE+uIlDX+ObmgiEo+OHj1KRkYGly9fDinv3r07aWlpNGvWzKfIREREGibfZ09yzq0zsyXA48BqM/stsDyoSh8zawPcDnwZrxuTA/7gnPs01vGKiL8OHz7M/PnzycvLCynv2bOnZkwSERGJEt+ThoA5eAu63Qd8N3ArWQ16dVC9ktWinwO+FavgRCQ+HDx4kAULFpQb4Ny7d29mzJhBSkqKT5GJiIg0bPHQPQnnXJ5z7gG8sQp78ZKDim6HgSedc48654r8ildEYm/fvn3Mnz+/XMJw9dVXM3PmTCUMIiIiURQvVxoAcM79GfizmV0HDAM6AYnAGWAL8KFzzlXRhIg0QPv372fhwoUUFhaGlPfr14/HHnuM5ORknyITERFpHOIqaSjhnNsObPc7DhGJD+3ataNly5acO3eutGzgwIE8+uijJCXF5Z8xERGRBiUuuieJiFSlVatWpKWl0bq1t67jtddey9SpU5UwiIiIxEjc/sc1sySgbeDhOedcYVX1RaRha9OmDenp6WzcuJEJEyaQkKDvPERERGIlrv7rmtl1ZvbfZrYdyMVbLfo4kGtmn5nZ78zsBn+jrDkza2lm/5+Z7TSzHDM7bWZrzOyuWra3zsxcFbfj1bciUv+0bduWe++9VwmDiIhIjMXFlQYzSwB+CfwtXiJjZasAA4EBwFfN7PfAd5xzxTENtBbMrBPeqtcDgGN4U8h2BiYCE83sW86539Wy+VfwkqqyLtSyPRHfHThwgF69emFW9s+AiIiI+CUukgZgITCVK8nCp8D7wInA487ALcANeLMp/S3QDW9BuHj3J7yE4XXgQefcZQAzuw9YBfyXmb3pnPu4Fm3/3Dm3LmKRivhs8+bNrFmzhptuuokHHnhAiYOIiEic8D1pMLNpwGN4i7l9BHzZObepkrq3AH8AhgKPmtk059zimAVbQ4GpYx8CioAvliQMAM65F81sLvBF4J+B6b4EKRInNm7cyMsvvwzAhx9+SGJiIhMnTlTiICIiEgfioWPwlwPbXcAdlSUMAIF9o4GdeFclvhL98OpkSmD7jnPuQAX7Fwa2k8xME81Lo7Vhw4bShKHEpk2b2L17t08RiYiISDDfrzQAN+JdZfiFc+5SdZWdc5fM7BfA04Fj49nQwHZzJftLypsD/an52hRTzGwy0BSvK9cG4NX6MNZDpMRbb73FG2+8Ua58zJgx9OvXz4eIREREpKx4SBpSAtua9OkvqRvv385fFdgerGincy7LzLKAVoG6NU0a/raCsl1mNquqKzZVMbMe1VTpUpt2RcpyzvHmm2/y5ptvltt31113MWrUKB+iEhERkYrEQ9JwALgWaF2DY1oFHRvPWga2VV1BycZ7Pa2qqFPWW8B8YD1wGG89i1uAfweuB14zs9ucc5/VOGI4VItjRGrEOcfrr7/OO++8U27f+PHjGTlypA9RiYiISGXiIWlYDnwPeAT4a5jHPIrXpWlFtIIys/8AHqzFoV9yzr0d6XiCOee+V6boMnDEzF7CSyhuAX4GTI5mHCK14Zzj1Vdf5b333iu379577+XWW2/1ISoRERGpSjwkDf8JzAS+YmbrnXNLq6psZo/iDYDeB/wqinF1w1sboqZaBN2/GNg2D6N+Vi2eK4RzLs/MfgqsBO41s2TnXEENm+lZzf4uQK26Pok453jppZfYtKn8R+j+++9n2LBhPkQlIiIi1fE9aXDOXTCzu4ElwCIzmwHMxTsxPYl3RaFknYZ0vG//NwOPOeeitoiZc24WMKuOzewHbgJ6VbTTzIK7Je2v43OVKOmSlAp0wFtQLmzOucNV7df0l1JbzjleeOEFPvzww3L7HnzwQYYOHVrBUSIiIhIPfE8azKwo+CEwKXCr9BBgGLC3ihNY55zz/bUBHwIP48VbkZLyS3hTzkZC+6D7FyutJRJDxcXFrFq1io8++iik3MyYPHkygwcP9ikyERERCUc8rNNgQbeyjyu6hVMnXr4OXxnY3m5mFV1tmBHYrq5FN6LKTAtsP3POZUeoTZE6OXPmDNu3h04OZmY8/PDDShhERETqgXj4Nv5HfgcQLc65T83sebxVof9iZg8653IAzGwiMAcoxhu0HMLMMoHhwO+dc78PKr8Tr8vWm845F1SeAvw98M1A0a+j8qJEaqFjx47MmDGDBQsWUFhYSEJCAo8++ijXXnut36GJiIhIGHxPGpxzDTZpCPgycB1wN7DHzN4COgFj8K6IfMs5V9EaFb3wBmJ3KFN+I/Ab4ISZbQXOAB2BwXhjPwB+5Zz7S4Rfh0id9OnTh2nTprFs2TIefvhhBgwY4HdIIiIiEibfk4aGzjl30syGAf+MN63sQ3hjGF7BO7l/vYZNvgn8L3AzXqLQDu9qxdFAm390zm2IUPgiEdW3b1++/e1v06RJE79DERERkRqwoB4u/gRgluqcy6vlsYMr+ZZeoiSwYvQhgEOHDtGjR3ULSEtj45zTLFsiIiI+Onz4MD17ls6i37O62THDEQ8DoT80sxtrepCZ/QOwMQrxiEgt5efnk5mZWeG0qiIiIlJ/xUP3pGuBjWb2PefcL6urHPimOxNvTICIxIm8vDwWLFjAoUOH2L9/PwkJCQwZMsTvsERERCQC4uFKwwUgBfi5mb0RSAoqZGbTgY+5Moj47diEKCJVyc3NZd68eRw6dKi0bNWqVWzbts3HqERERCRS4iFpuBFYj5cEjAE+NrNpwRXMrJWZLQDmA22AQuDfgDtjG6qIlHX58mUyMzM5cuRISHnTpk3p0KHs5F8iIiJSH/meNDjnDuKd/P8LXjLQBlhgZvMCycJYvKsL0/ASi53ASOfc/+ecK/YlaBEB4NKlS2RmZnLs2LGQ8ubNm5Oenk6XLl18ikxEREQiyfekAcB5fg6MBHbhJQczAvdfw1uzwIA/ADc55z7wK1YR8Vy8eJGMjAxOnDgRUt6iRQvmzJlDp06dfIpMREREIi0ukoYSgWRgKPA8XpLQES/GLOAB59yTJSsqi4h/srKyyMjI4NSpUyHlrVq14oknnlC3JBERkQYmrpKGgDRgAuDwEgeAlsCDZtbUt6hEBIDz588zd+5czpw5E1Lepk0b5syZQ7t27XyKTERERKIlbpIGM+tgZs8DTwFNgRzgR8B+vOThb/DWdLjZtyBFGrlz584xd+5czp07F1Letm1b5syZQ9u2bX2KTERERKIpLpIGM5sIfAI8gJcgfIA3duFHeLMrzQ+UDwA2mNm/mpacFYmpM2fOMHfuXC5cuBBS3r59e5544glat27tU2QiIiISbb4nDWb2e+AFoDNel6SfASOcc7sAnHMXnXNpwOPAeSAZ+DGw3sz6+BGzSGOTl5dHRkYGWVlZIeUdO3Zkzpw5tGzZ0qfIREREJBZ8TxqAJ/GuIhwE7nTO/atzrrBsJefcMmAQ8Eag/u3A1hjGKdJopaamcvvtt4eUde7cmfT0dFq0aOFTVCIiIhIr8ZA0ACwABjvn3qqqknPuqHPubuC7QB7eAGkRiYFbb72V8ePHA9C1a1fS09Np3ry5z1GJiIhILCT5HQAw0zm3qCYHOOf+08zW4o11EJEYGTlyJM2aNeOaa66hSZMmfocjIiIiMeJ70lDThCHouE/M7JZIxyMiVRsyZIjfIYiIiEiMxUv3pFpxzuX7HYNIQ3PgwAEOHTrkdxgiIiISR2KaNJjZfwZunSrZn2hmvcysVzXtXG1mH5rZB9GJVKRx2rt3LwsWLGDBggUcPXrU73BEREQkTsT6SsO3gW8BHSrZfw3eYm57q2mnKTAkcBORCNi9ezeLFi2ioKCAvLw85s2bx/Hjx/0OS0REROJAvHZP0sJtIjG0a9cuFi9eTGHhldmOc3Nz2bhxo49RiYiISLzwfSC0iPjrs88+49lnn6W4uDik/Prrr+eBBx7wKSoRERGJJ0oaRBqxbdu28dxzz+GcCykfPHgwDz30EAkJ8XoxUkRERGJJSYNII/XRRx/x/PPPl0sYhgwZwqRJk5QwiIiISCklDSKN0JYtW1i1alW58ptvvpn7778fMw0rEhERkSuUNIg0Mps3b2bNmjXlyocPH869996rhEFERETKUdIg0ohs3LiRl19+uVz5iBEjGD9+vBIGERERqZCSBpFG4p133uG1114rVz5q1CjuvPNOJQwiIiJSKb+ShifN7GQF5aUrRZvZ96s4vsIVpUWkYs45Tp4s/ys3duxYxowZ40NEIiIiUp/4lTR8rYp9JVO5/CAWgYg0BmbGQw89RFFREZ9++ikA48aN44477vA5MhEREakP/Ega1AdCxAcJCQlMmTKF4uJievbsyYgRI/wOSUREROqJWCcNd8b4+UQkSGJiIlOnTtX4BREREamRmCYNzrk3Y/l8Io2Rc47c3FyaNm1a4X4lDCIiIlJTWvJVpAFxzrF69WqefvppsrOz/Q5HREREGgglDSINRHFxMc8//zxbtmzh9OnTzJs3j8uXL/sdloiIiDQAShpEGoDi4mJWrFjBRx99VFp28uRJFixYgHOuiiNFREREqqfF3UTquaKiIpYvX85nn30WUp6QkMCoUaM0hkFERETqTEmDSD1WWFj4/7d353FS1Hf+x98fhmG4BhDxwhERokbjEUTiwQZRXDEYowRRzgFz7SZxN7txsyYm2WU3azSHuWM2yfoLDKeKCUSjkWDUiEcMHhE1KgqDcgiigNwzzHx+f1QNdM/01PT01HR1z7yej0c9uutbVd/6dHdNT326vt/6avHixXrllVfSyktKSnTNNdfoxBNPTCgyAADQkZA0AEWqtrZWd955p1577bW08q5du2rSpEkaOnRoQpEBAICOhqQBKEK1tbVatGiR1qxZk1ZeWlqqKVOmaPDgwckEBgAAOiSSBqDI1NTUaMGCBVq3bl1aebdu3TR16lQNGjQoocgAAEBHRdIAFJH9+/dr/vz5evPNN9PKy8rKNG3aNFVUVCQUGQAA6MhIGoAisXfvXs2fP18bNmxIK+/Ro4emTZumgQMHJhQZAADo6EgagCKxbNmyJglDz549NX36dB199NEJRQUAADoDBncDisQll1yio4466uB8r169NGPGDBIGAADQ7kgagCLRo0cPTZ8+XUcccYTKy8s1c+ZMHXnkkUmHBQAAOgGaJwFFpFevXqqsrFRNTY369++fdDgAAKCTIGkAikzv3r2TDgEAAHQyNE8CCsy2bdv0u9/9TnV1dUmHAgAAIIkrDUBBeeeddzRnzhzt3LlTe/bs0YQJE9SlC7k9AABIFmcjQIF4++23NXv2bO3cuVOS9NJLL2nJkiWqr69PODIAANDZkTQABWDz5s2aPXu2du3alVb+9ttvq6amJqGoAAAAAjRPAhK2adMmzZ07V3v37k0rHzhwoKZNm6bu3bsnFBkAAECApAFI0IYNGzRv3jzt27cvrbyiokJTp04lYQAAAAWBpAFIyJtvvql58+Y1aX50/PHHa/LkySorK0soMgAAgHQkDUACqqurtWDBAtXW1qaVn3DCCZo0aZK6deuWUGQAAABNkTQAebZmzRotXLhQBw4cSCsfOnSorrnmGpWWliYUGQAAQGYkDUAevfbaa1q0aFGTgdtOOukkTZw4UV278icJAAAKD2coQJ68+uqruvPOO5skDKeccoomTJigkpKShCIDAACIxjgNQJ707du3SV+F0047jYQBAAAUPJIGIE+OOuooTZ8+/eBdkc444wyNHz+ehAEAABQ8micBeXTMMcdo2rRpWrVqlcaOHasuXcjbAQBA4SNpAPKsoqJCFRUVSYcBAACQNX7mBNrBxo0bkw4BAAAgNiQNQMyefPJJ/fKXv9SKFSuSDgUAACAWJA1AjB577DE98MADkqQHH3xQTzzxRMIRAQAAtB1JAxCTRx55RMuXL08rW7ZsGU2VAABA0aMjNNBG7q6HHnpIjz76aJNlY8aM0cCBAxOICgAAID4kDUAbuLuWL1+uxx9/vMmySy65ROedd14CUQEAAMSLpAHIkbvrgQce0J///Ocmy8aNG6cRI0YkEBUAAED8SBqAHLi77rvvPq1cubLJsssvv1xnnXVWAlEBAAC0D5IGoJXq6+t177336tlnn00rNzNdccUVOvPMMxOKDAAAoH2QNACtUF9fr6VLl+r5559PKzczjR8/XqeffnpCkQEAALQfkgYgS3V1dVqyZIleeOGFtPIuXbpowoQJOvXUUxOKDAAAoH2RNABZ2rBhg1588cW0spKSEk2cOFEnn3xyQlEBAAC0PwZ3A7I0aNAgXXnllQfnS0pKNGnSJBIGAADQ4XGlAWiFM844Q3V1dbr//vs1adIkDRkyJOmQAAAA2h1JA9BKw4YN04knnqjevXsnHQoAAEBe0DwJyMDdI5eTMAAAgM6EpAFoZN++faqqqtJrr72WdCgAAAAFgaQBSLF3717NnTtX1dXVuuOOO7R27dqkQwIAAEgcSQMQ2rNnj6qqqrRx40ZJ0oEDB7Rw4UKtW7cu4cgAAACSRUdoQNKuXbs0d+5cbdmyJa28rKxMPXv2TCgqAACAwkDSgE5v586dqqqq0tatW9PKy8vLNWPGDB1++OEJRQYAAFAYSBrQqe3YsUNVVVV6991308r79u2ryspK9e/fP6HIAAAACgdJAzqt7du3a86cOdq+fXtaeb9+/TRjxgz169cvkbgAAAAKDUkDOqV3331XVVVV2rFjR1p5//79NWPGDPXp0yehyAAAAAoPSQM6na1bt6qqqko7d+5MKx8wYIAqKytVXl6eUGQAAACFiaQBncqWLVtUVVWl3bt3p5UfeeSRqqysVK9evRKKDAAAoHCRNKDTeO+99zRnzhzt2bMnrfzoo4/W9OnTubUqAABAMxjcDZ1GeXm5Tj/99LSygQMHqrKykoQBAAAgAlca0GmYmcaOHau6ujqtXLlSxx13nKZMmaLu3bsnHRoAAEBBI2lAp2JmGjdunA477DANHz5cZWVlSYcEAABQ8Ega0OmYmc4///ykwwAAACga9GlAh7R27domozwDAAAgNyQN6HBWr16t+fPnq6qqqslozwAAAGg9kgZ0KC+//LIWLVqkuro67dixQ3PmzGky6jMAAABah6QBHcZLL72ku+66S/X19QfLtm/frqeeeirBqAAAAIofHaHRIaxatUq/+c1v5O5p5WeeeabGjBmTUFQAAAAdA0kDit5zzz2npUuXNikfNmyYLr/8cplZAlEBAAB0HCQNKGpPP/207r333iblZ599tsaNG0fCAAAAEAOSBhStp556Svfff3+T8nPOOUdjx44lYQAAAIgJSQOK0hNPPKFly5Y1KR85cqTGjBlDwgAAABAjkgYUnRUrVujBBx9sUj5q1CiNHj2ahAEAACBmJA0oGu6uP/3pT3r44YebLLvwwgs1atSo/AcFAADQCZA0oGjU19erurq6SfnFF1+skSNH5j8gAACAToLB3VA0SkpKNHnyZB133HEHy8aOHUvCAAAA0M5IGlBUunXrpqlTp6qiokKXXXaZzj333KRDAgAA6PBonoSiU1ZWpmuvvVZdupDzAgAA5ANnXShI9fX1qq2tbXY5CQMAAED+cOaFglNfX68lS5ZowYIFkYkDAAAA8oOkAQWlrq5Od999t1atWqXq6motWrRIBw4cSDosAACATo2kAQWjrq5Oixcv1ksvvXSwbM2aNbr77rsTjAoAAAB0hEZBOHDggO68806tXr06rbxr164aPnx4QlEBAABAImlAAaitrdUdd9yh119/Pa28a9eumjx5soYMGZJQZAAAAJBIGpCwmpoaLVy4sMlIz6WlpZo6daqOP/74ZAIDAADAQSQNSMz+/fu1YMECvfHGG2nlZWVlmjp1atrIzwAAAEgOSQMSsW/fPs2fP1/r169PK+/evbumTZumY489NqHIAAAA0BhJA/Ju7969mjt3rjZt2pRW3qNHD02fPl3HHHNMQpEBAAAgE265mgdmNs7MZpnZPWa20cw8nCraWG83M7vBzP5qZrvNbJuZPWxmV8UVe9x2796tOXPmNEkYevXqpRkzZpAwAAAAFCCuNOTHAkl946zQzHpK+oOk8yVtl/R7Sb0lXSTpAjO71d3/Lc59xmHp0qXavHlzWlnv3r1VWVmpI444IqGoAAAAEIUrDfnxa0k3SrpU0pEx1flNBQnDKkknuvsEdx8r6VxJuyRdb2YfjWlfsbn00ktVXl5+cL68vFwzZ84kYQAAAChgJA154O6fcPeb3f0Bd3+7rfWZ2WGSPhvOftbdt6bs62lJ3wpnv9rWfcWtf//+qqysVO/evdW3b19de+21Ovzww5MOCwAAABFonlScxknqJukNd38sw/IFkr4h6VwzG+juG/MaXQsGDBigyspKlZaWql+/fkmHAwAAgBaQNBSnYeHjykwL3X2Nmb0rqb+kD0rKOmnIonP20dnWFYXmSAAAAMWDpKE4nRA+vhGxznoFScMJEetk8mZOETWydetWvfDCC7rgggtkZnFUCQAAgISQNBSnhp7EuyPW2RU+9mnnWJrYsmWLqqqqtHv3btXW1uriiy8mcQAAAChiJA0RzOzbkj6Ww6afcvcVcceTJ8e1sPxoSX9pbuFbb72luXPnas+ePZKkxx9/XCUlJbroootiDBEAAAD5RNIQbaCkk3PYrnfcgTSyM3zslUUM77WmYndfH7U86orBxo0bNXfuXO3bty+tfM2aNRo1apS6duVwAwAAKEacxUVw92mSpiUdRwbV4eOgiHUaOjRXR6wTm/Xr12vevHnav39/Wvlxxx2nqVOnkjAAAAAUMc7kitMz4ePZmRaa2RAFnaAl6dn2DuaNN97Q/PnzVVNTk1Y+ePBgTZ48Wd26dWvvEAAAANCOGNytON0nqUbSIDMbmWH5lPDxyfYeo6G6ulrz5s1rkjAMGTJEU6ZMIWEAAADoAEgaCpiZPWhmL5vZ+NRyd98m6Wfh7G1mdnjKNmdJuiGcvak946uurtb8+fNVW1ubVv6+971PkydPVmlpaXvuHgAAAHlC86Q8MLOvS7osw6LfmlnDT/TPuPvnGi0fKul4SX0zbHujpA9JOk/SajP7o4KO0WMklUr6nrvfG0f8zVm6dKl6907v833yySfrqquuog8DAABAB8KZXX4MlXROhvJhKc/3ZVjeLHffY2ajJX1R0lRJ4xQ0WXpC0k/c/a6cIm2Furq6tPlTTz1VH//4x1VSUtLeuwYAAEAekTTkgbvPlDQzh+0Gt7C8RtIt4ZQvBzOCnTt3Hiw85ZRTdM4552jTpk15DAUAAACNNTofi+XXXHP3OOpBJ2FmZyticDcAAAAUlBHuvrKtldARGgAAAEAkrjSgVcysTNLp4ezbkuoiVj9ah65KjJD0VjuGhuLEMYJscJygJRwjyEZnOk5KJB0RPl/l7vujVs4GfRrQKuFBl9UlLjNLnX3L3de3S1AoWhwjyAbHCVrCMYJsdMLjZF2cldE8CQAAAEAkkgYAAAAAkUgaAAAAAEQiaQAAAAAQiaQBAAAAQCSSBgAAAACRSBoAAAAARGJwNwAAAACRuNIAAAAAIBJJAwAAAIBIJA0AAAAAIpE0AAAAAIhE0gAAAAAgEkkDAAAAgEgkDQAAAAAikTQAAAAAiETSAAAAACASSQNiYWbjzGyWmd1jZhvNzMOpoo31djOzG8zsr2a228y2mdnDZnZVXLEjv8ys3My+aWavmNleM9tqZr8zs4tyrO/hlOMt0/RW3K8BbWdmE8PPblv4t/1XM/t3MyvNsb7hZnaXmW02s31mttbMfmxmR8YdO/IjrmPEzGa28B3hZnZpe70OxM/MTjazfzKz2Wa2yswOhJ/j19pY78Vmdl/4f2mvmb1sZjeZWe+4Yi9mXZMOAB3GAkl946zQzHpK+oOk8yVtl/R7Sb0lXSTpAjO71d3/Lc59on2FJ3CPSjpJ0iZJ90g6StJHJH3EzL7g7j/OsfoHJGVKEHbkWB/aiZn9QNIXJB2Q9EdJuxT8XX9L0uVmdom7721FfVdJWqjgf9pfJK2VdLak6yRNNLO/c/fXYn0RaFdxHyOh1yWtaGbZhhxDRTI+q+D4iI2Z/auk70lyBf+nNkv6sKQbJU0Iv0e2xrnPouPuTExtniT9P0lfkTRW0hEK/uhcUkUb6vxBWMfzkgaklA+XtDNc9tGkXztTqz7TJeHntlxSz5TycQpODuokndHKOh8O6xyd9OtjyurzujL8vHZKOiulfED4t+6SvtuK+gZK2h1u95mU8hJJc8PypyRZ0q+dKbFjZGa4zeykXxtTbMfIpyR9R9IUSe+XVBV+xl/Lsb5hkurD/0MfSSnvGf6/ckmLk37dSU80T0Is3P0T7n6zuz/g7m+3tT4zO0zBLwmS9FlPye7d/WkFvzZJ0lfbui/kh5mdKukKBYnBJ919T8Myd79P0mwFTSa/kkiAyJcbw8db3P2ZhsLwb/xz4ex1Zpbtlct/UfiP3d1/kVJfnYLvkB2SRki6pI1xI3/iPkbQwbj7/7n7l9x9gbu/rOCEvy2+Iskk/crd70/Zzx5Jnwzrn2Bm72/jfooaSQMK1ThJ3SS94e6PZVi+IHw818wG5i8stMH48PExd1+XYXnDZ3p5ru3aUdjM7FgFJ/DSoc/7IHdfIelNSWUKvgOy0XBcZapvl6TfhrMfb1WwSEQ7HSNAs8ysm6TLwtlMx9w6SQ3nIeMbL+9MSBpQqIaFjyszLXT3NZLeDWc/mI+A0GaRn2lKeS9JJ+ZQ/3gz+4GZ/dzM/tvMLjUzvuMKS8Mx8K67r21mnZWN1m2WmZVLel+j7XKuDwUh1mOkkfeZ2f+Y2S/M7Htm9gkzG5BbmOhATlJwtVLieyQSHaFRqE4IH9+IWGe9pP4p66KwRX6m7v6emb0nqU+47kutrP+fM5S9ambT3P0vrawL7SObv+s3G60bZXDK8+bqbE19SF7cx0iqkeGUap+ZzXL3b2XaAJ1Cw3G03d13NrMO3yPiSgMKV3n4uDtinV3hY592jgXxaK/P9FFJn5Z0soKrFBUKLiG/qOAXpOVmdkrrQkU7ifsYKE953lydfE8Ul/b4nnhL0k2SzlFwo44+CppAVSlo5nSLmd3Y/Obo4DjfyBJXGjo5M/u2pI/lsOmnwral6AQK+Thx9683KtojaYOZ3a8goRgh6WYFd2QB0Mm4++8V3LI71UpJM8zsr5JulfQfZna7u2/Oe4BAkSBpwEAFv9C2VnsPdNJwibBXFjG8186xIJ7jJK+fqbvvN7ObFNzm9VIzK3X32rbWizaJ+xhIbUrQS5nH5OB7orjk+7v/hwrunDNAwR225sZQJ4oL5xtZonlSJ+fu09zdcpga/2oTt+rwcVDEOg2jTVdHrIMYxHScVIePGT9TM+ujQ5d+qzOtk4O/hY9lCk4KkKzq8PG4iHUallVHrNMg9S5czX1XtKY+JK86fIzrGIkU3pp3dThbEbUuOqzq8LFfeHOFTPgeEUkDClfDvbnPzrTQzIYo6AQtSc/mJSK0VeRnmlK+W9KrMe3z8JTnzXVwQ/40/K0ebmbNdShsOA6eaWb5Qe7+nqSGkZ5bOq5arA8FIdZjJEsN3xN8R3ROryho1irxPRKJpAGF6j5JNZIGmVnju11IwSiQkvSku2/MX1hogyXh40gzy/SrcMNnek+MzYgmhY9/C+/ZjwS5+3pJDXeymtJ4uZn9nYJf9PYr+A7Ixm8i6ust6fJw9tetChaJaKdjpFlmdpaCGyZIwcjh6GTcvUbS78LZTMfc8ZLOD2d/03h5Z0LSgESZ2YNm9rKZpQ2Y4u7bJP0snL3NzA5P2eYsSTeEszflJ1K0lbu/KGmppBJJt5tZj4ZlZvYRSTMVjLp5c+NtzawqPE6ua1R+oZmNNjNrVN7NzL4s6Z/ColtjfTFoi2+Gj18O/5YlSeHf+G3h7E/cfUfKsvHh5/9ghvp+oOBXwovN7NMp25SE9fVTcBK6LM4XgXYV2zFiZj3N7POZmp2Y2ShJd4ezK9ydpKEDM7PrwmOkKsPiWyS5pGvN7NKUbXpKul3B/627w9GnOy06QiMWZvZ1HRpRMdVvzawmfP6Mu3+u0fKhko6X1DfDtjdK+pCk8yStNrM/KuioNEZSqaTvufu9ccSPvPmMpFMlXSzpdTN7VNKRki6QZJK+4O7PZ9hukIKO2I37JZwp6fuSNpvZc5LeUXBLxTMkHRWu8113vz3m14EcufsSM/uRgnE1ngxP8nYr+Lvup2Dk1cZ3xOqr4PPvnqG+jWY2U9JCSb8ws08qaHc8QtIQSZslTXF3b4/Xg/jFfIx0k/QTSbea2bMKxn/oquDqwmnhOqskXR3/K0F7CZPJ21KKhoaP/2BmH00pH+/um8LnAxQcI281rs/dnzGz6yV9T9J9ZvaIpC2SPizpGAVNmP4x3ldRfEgaEJehCu6B3Vjq6In7WlOhu+8xs9GSvihpqqRxCposPaHgV6a7cooUiXH3LWZ2toK7lUyQdIWCk4EHFJzcZ/olOcojCq5IDVeQKPRXcLViY1jnz9398ZjCR0zc/Qtm9pikzyu47F8q6XUFv/Z9P2wu0Jr67jKzNQp+aPiwgu+dTZJ+Kukb3Eaz+MR4jOyR9A0FbdLfL+kDknpI2iZpuaS7JM1u7TGHxPVR5nOOCqV3aC/LtkJ3/76ZrZJ0vYIfLHspSDJvlnRzxMBvnYbx4wsAAACAKPRpAAAAABCJpAEAAABAJJIGAAAAAJFIGgAAAABEImkAAAAAEImkAQAAAEAkkgYAAAAAkUgaAAAAAEQiaQAAAAAQiaQBAAAAQCSSBgAAAACRSBoAAAAARCJpAAAAABCJpAEAAABAJJIGAAAAAJFIGgAAAABEImkAAACxMrPhZvaQme01s41mdrOZlSYdF4DcmbsnHQMAAOggzOx0SU9I6tVo0V3ufnUCIQGIAVcaAABAnL6hIGGokjRS0hRJmyRNNLPzkgwMQO66Jh0AAADoUM6XtFrSte5eL+lxM6uRtFjSeQquQgAoMlxpAAAAcdovaVeYMDTYHj7uyX84AOJA0gAAiJWZzTQzD6fB2S7rqIrpNZvZ7JRYPce4l0kaZmZfMrNyM/uApO9KqpP0QDP7Hd3Mfme1+UUBiAVJAwAkIOIkyc1sj5mtM7MlZjbFzGhKimLyNUlrJX1b0nuSXpB0hqTr3X1tkoEByB1JAwAUnh6SBkm6QtJ8BW3Cj042pMJXTL/oF4GNkk5PmTZku6G7b5L0aqPiRe7+w4jN/tJofwAKDL9eAUDyfibptpT53pLOlnS9pMGSRkhaambnepHfJ9vdZ0uanXAYaFmtu7+Qy4ZmdomkseHsbgV3Ujoxaht3363gikRDHbnsGkA74koDACRvi7u/kDI96e4/kXSWpNfCdT4k6aPJhQi0zMy6SPpOOLtc0j3h8w+EywAUKf6AAaBAufs2STenFF2aVCxAlmYo6L/gkr4k6cWwvKekoUkFBaDtSBoAoLA9lfL8+IYnZjarof1+ON/XzL5uZs+a2fZw2cxMFZrZhWY2x8zWhJ2u3zOzVWb2HTMb2FJAZnaYmd1iZi+b2V4z22Jmy81sYhbbZt3vwMxGmtn/mdkrYYw1ZrbezO41s8+bWb9wvdHh+/CrlM3XZuhgPrrQ3o9sZfi8+5nZf5nZi2a2y8zeNbOHzGxyXPvMIcYeCgZ2k6T57v6cUpocKUgmABQp+jQAQGGrTXlekmkFMztRwW0uB0dVZGbdFZxYT8qw+LRw+qyZTXb3ezKsIzM7RUGzk9ST6e6SxkgaY2a/kvSnqDhaEp583i4p0wnwseF0maQjJM1qw36K4v3IsM8TJP1B6b/c95I0WtJoM7tS0lR3PxDnfrPwRQWfzT5JXw3LXkxZfrqku/McE4CYkDQAQGFLvZPMxmbWWazgZO3Hkn4raZuCjqfrGlawoGfpYgUn21LQ1vxOSWsk1SvoM3G9grs2LTazke6+MnUnZtZHwX32G06Q75A0R9IWSScpOGm8VsHJdk7Cdu9LJf19WLRaQSfxlQoGBjtGwYjDV6ds1nDnnSsk/U9YNlZN36+Dt/sslvejGXdIOkHS/4avYYeCX/FvCPd7tYLX/q8x77dZZnZkuH9J+rG7vxE+X6Mgiegu7ooEFDd3Z2JiYmLK86TgV2EPp1nNrNNV0hMp601PWTYrpbxO0iUt7O/T4bo1ki5tZp3DFDQncUkrMiz/Tso+v5JheamCk2hPmQY3Wmdmc8vC5f+csvzXksqaibWLpGNbU3chvh+tOF5mNapncoZ1yiU9l3JMnJbDfmaH21e3crvbwu3ekdSv0bJnw2WrW1Ff5N8GExNT/if6NABAgTGzXmZ2gYImKOeGxesU/BKeyWx3XxZRn+nQr8A/cvffZ1rPg47XXwpnR4bNnhrq6Cbpk+Hs85JuybB9bbhObeNl2QivMjTsf72kSnff30ys9e6e9dgBjfZTFO9HhHvdfWGG/e2U9Jlwtoukf4x5vxmZ2ckKkjBJusndtzdapaFfwxAz65mPmADEj6QBAJL3n6kddiXtkvSwgqsRUtDc5crmTqAVDAAX5VQdav++uIV1U9vfn5fyfLiCX94laY67Zxwvwt3XK+hfkYsPSqoIn//S3XflWE9LiuX9aM6vmlvg7k/pUD+Ci2Peb3O+peCqWLWkn2RY3hBPF8XfVAtAnpA0AEDhWqugCczpHtyJpjnPt1DP2SnPn8hwV6HGCUuD1FGoU9uj/6WF/T3VwvLmDEt5/miOdWSjWN6P5mS7v5PCKyLtxsxGKehLIklfdfeaDKs17gwNoAjRERoAkpc6IrQr6Di61d13ZLn9thaWH5ljXKlNSfqnPN/Swnabc9zfgJTnm3KsIxvF8n40J9v9mYKrIXHvP6g8aOb13XD2aUlNmkyFUpMGbrsKFCmSBgBI3hZ3f6Hl1TJz97oWVkm9VevlCpqRZKO5k9OMTXGKSLG/H4Xy/l8jaUT4fLik+iCPiMSVBqBIkTQAQMf3Tsrz7TkmKKlXM46S9GrEukflUL8kbU15foykl3OspyXF8n5E1fdmFvtztXwVKidmVibpmzlsStIAFCmSBgDo+J5NeT5S0ooc6liV8nyEovscjIhYFuWZlOejJD3Uyu2z/QW+WN6PqPqikoaG/a1upo9BHK5TMFaES/q8Wk5OZioYO2OAmR3j7u3Z/AxAO6AjNAB0fM8ouIWpJH0mHAm5tZ7WoRPD6dZMOxQzO1bSJTnUL0l/1aGT4U+ZWe9Wbr8v5XlZxHrF8n40Z0ZzC8xshA7doWh5zPtt2MdhOjTi8xJ3/5m7L4qaGsVCvwagCJE0AEAH5+71OtSUZIikqrB5SUZm1sfMrmtUx34dutXnB3Vo/ILU7bpK+qWknO7YE8b5nXC2IowzY11m1sXMBjYqTv31eqiaUSzvR4SPmdnVjQvDJOvn4Wx9yvO4fV1BB2tXMOhcNlKbb9FECShCNE8CgM7hfyX9vaTxkiZKOsvMfq7g9pw7JPWR9H4FY0N8TMGv9o3vuf/fkq5WcEL/LTP7oKQqBR2ET5L0RQVNY1Yq/bamrfFTBZ2TG2JdZWa3hXXuUXDb03MlTZa0QOknrc+GcXeX9A0zq1UwKF59uHyDu+8tsvcjk5WSFoQDAC6W9J6CX+9vkHRyuM5P3b2lW/G2mpmdoKA5kiTd3Yp9pCYNXGkAihBJAwB0Au7uZnaNpB8qGCl4qKRvR2zS5E5B7r7DzC5V0NTkaAUn7pMbrTZb0iOKGICshTjrzexKSXMkXaXg5PsHWW6708x+JOnfJZ2lpoOqXahg0LyieT+acbWkByV9Lpwau1tBwtIeblZw5aRe2V9lkKTXJdUpuHMVVxqAIkTzJADoJNy91t0/J+lMST9W0Jl3h4KTuR2SnpN0u4KT9VOaqeNFSR9QcIK9WtJ+BXc9ekjSFHe/NoY497j7REkXSZqrYJC7vZJqFPR5uEfSP0i6NcPmX5b0aQUdk98NX1tz+ymK9yPDPtcquMXpNyX9TcEVmB0KRq+e5u5XufuBuPdrZh9SkLBI0l3ha8+Ku9cq+Bwl6ZSw6RaAImKeeeR7AABQIMxslqT/lCR3b3EwhDbsZ7aCjtbr3H1we+0nizgaTk7+y91nJRUHgEPI9AEAQGOlZnZayvwr4dWCdmFmvRTcwhVAgSJpAAAAjQ1U+lgUJyj7kbNzMUKtH5cDQB7RpwEAAABAJK40AAAASZK7z1QwenO+9/uwpHbrqwGg7bjSAAAAACASd08CAAAAEIkrDQAAAAAikTQAAAAAiETSAAAAACASSQMAAACASCQNAAAAACKRNAAAAACIRNIAAAAAIBJJAwAAAIBIJA0AAAAAIpE0AAAAAIhE0gAAAAAgEkkDAAAAgEgkDQAAAAAikTQAAAAAiETSAAAAACASSQMAAACASCQNAAAAACKRNAAAAACIRNIAAAAAIBJJAwAAAIBIJA0AAAAAIv1/Pj+JyGy++MAAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for param in tr:\n",
+    "    title_font_size = 12\n",
+    "    label_font_size = 10\n",
+    "    tick_font_size = 8\n",
+    "    fet = \"shift\"\n",
+    "    unit = \"\\AA\"\n",
+    "    # for fet in tr_dict:\n",
+    "    # tr, pr = tr_dict[fet], pred_dict[fet]\n",
+    "    fig, ax = plt.subplots(1,1, figsize=(4, 4), dpi=200)\n",
+    "\n",
+    "    colors = ['white' if i=='1_2l7i.pdb' else 'grey' for i in test_data.index]\n",
+    "\n",
+    "    ax.scatter(pr[param], tr[param], color=colors, lw=0.75, edgecolors='k', s=50)\n",
+    "    lim_min, lim_max = min(pr[param]+tr[param]) -1, max(pr[param]+tr[param]) +1\n",
+    "    ax.set_ylim(lim_min, lim_max)\n",
+    "    ax.set_xlim(lim_min, lim_max)\n",
+    "    ax.plot([0, 1], [0, 1], '--', transform=ax.transAxes, color='grey')\n",
+    "\n",
+    "    ax.set_xlabel(fr'Predicted {param} [${unit}$]', size=label_font_size)\n",
+    "    ax.set_ylabel(fr'Experimental structure {param} [${unit}$]', size=label_font_size)\n",
+    "\n",
+    "    ax.tick_params(axis='both', which='major', labelsize=tick_font_size)\n",
+    "    ax.tick_params(axis='both', which='minor', labelsize=tick_font_size)\n",
+    "    ax.set_title(f\"HAMPpred predictions of {param}\", size=title_font_size)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8f1b3c96",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "95ffe755",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ddedd828",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}