From ccfb5f1fbd0140ecf368c1585bf74a4e9709d729 Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 13:58:07 +0300 Subject: [PATCH 1/8] exclude build in ignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) create mode 100644 .gitignore diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..567609b --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +build/ From 493b381e4cff85f5fb203dabbe82014ffe4d2820 Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 14:37:15 +0300 Subject: [PATCH 2/8] push changes + docs --- docs/cooking_machine/config_parser.html | 20 +- docs/cooking_machine/cubes/base_cube.html | 65 +- .../cubes/controller_cube.html | 38 +- docs/cooking_machine/cubes/cube_creator.html | 16 +- docs/cooking_machine/cubes/index.html | 4 +- docs/cooking_machine/dataset.html | 46 +- docs/cooking_machine/model_constructor.html | 32 +- docs/cooking_machine/models/base_score.html | 2 +- .../models/dummy_topic_model.html | 91 +- docs/cooking_machine/models/index.html | 4 +- docs/cooking_machine/models/scores.html | 16 +- .../models/semantic_radius_score.html | 80 +- docs/cooking_machine/models/topic_model.html | 348 +- docs/cooking_machine/pretty_output.html | 2 +- docs/viewers/base_viewer.html | 2 +- docs/viewers/top_tokens_viewer.html | 100 +- topicnet/.gitignore | 2 + topicnet/cooking_machine/config_parser.py | 9 +- topicnet/cooking_machine/cubes/base_cube.py | 19 +- .../cooking_machine/cubes/controller_cube.py | 16 +- .../cooking_machine/cubes/cube_creator.py | 7 +- topicnet/cooking_machine/dataset.py | 15 +- topicnet/cooking_machine/model_constructor.py | 13 +- topicnet/cooking_machine/models/README.md | 2 +- .../models/dummy_topic_model.py | 37 +- topicnet/cooking_machine/models/scores.py | 4 +- .../models/semantic_radius_score.py | 39 +- .../cooking_machine/models/topic_model.py | 107 +- topicnet/cooking_machine/pretty_output.py | 2 +- ...relation-and-Topic-Selection-Friends.ipynb | 7863 +++++++++++++++++ .../demos/RTL-WIKI-BuildingTopicModel.ipynb | 138 +- topicnet/demos/RTL-WIKI-PREPROCESSING.ipynb | 94 +- .../topic_prior_regularizer_tutorial.ipynb | 135 +- topicnet/tests/test_cube_controller.py | 10 +- topicnet/tests/test_cubes.py | 4 +- topicnet/tests/test_top_tokens_viewer.py | 11 + topicnet/topicnet_doc_generation/README.md | 27 +- .../transform_replace.sh | 2 + topicnet/viewers/top_tokens_viewer.py | 31 +- 39 files changed, 8852 insertions(+), 601 deletions(-) create mode 100644 topicnet/demos/Making-Decorrelation-and-Topic-Selection-Friends.ipynb diff --git a/docs/cooking_machine/config_parser.html b/docs/cooking_machine/config_parser.html index 36d0b87..3d6d4b7 100644 --- a/docs/cooking_machine/config_parser.html +++ b/docs/cooking_machine/config_parser.html @@ -405,7 +405,7 @@

Module topicnet.cooking_machine.config_parser

Module topicnet.cooking_machine.config_parserModule topicnet.cooking_machine.config_parserModule topicnet.cooking_machine.config_parserReturns

Returns

-
instance of artm.Score or topicnet.BaseScore
+
instance of artm.scores.BaseScore or topicnet.cooking_machine.models.base_score
 
@@ -943,7 +942,7 @@

Returns

Returns ------- - instance of artm.Score or topicnet.BaseScore + instance of artm.scores.BaseScore or topicnet.cooking_machine.models.base_score """ module = artm.scores if is_artm_score else tnscores class_of_object = getattr(module, elemtype) @@ -1146,7 +1145,7 @@

Returns

dataset = Dataset(parsed.data["model"]["dataset_path"]) - modalities_to_use, modalities_weights = parse_modalities_data(parsed) + modalities_to_use = parse_modalities_data(parsed) data_stats = count_vocab_size(dataset.get_dictionary(), modalities_to_use) model = init_simple_default_model( @@ -1155,7 +1154,6 @@

Returns

main_modality=parsed.data["model"]["main_modality"], specific_topics=parsed.data["topics"]["specific_topics"], background_topics=parsed.data["topics"]["background_topics"], - modalities_weights=modalities_weights ) regularizers = _add_parsed_regularizers( @@ -1201,10 +1199,10 @@

Returns

}) parsed["model"]["modalities_weights"].revalidate(local_schema) modalities_weights = parsed["model"]["modalities_weights"].data + return modalities_weights else: - modalities_weights = None modalities_to_use = parsed.data["model"]["modalities_to_use"] - return modalities_to_use, modalities_weights + return modalities_to_use
diff --git a/docs/cooking_machine/cubes/base_cube.html b/docs/cooking_machine/cubes/base_cube.html index cf8991a..6b3cbf1 100644 --- a/docs/cooking_machine/cubes/base_cube.html +++ b/docs/cooking_machine/cubes/base_cube.html @@ -28,7 +28,6 @@

Module topicnet.cooking_machine.cubes.base_cubeModule topicnet.cooking_machine.cubes.base_cubeModule topicnet.cooking_machine.cubes.base_cubeReturns

queue.put(puttable) +
+def retrieve_score_for_strategy(score_name=None) +
+
+
+
+ +Expand source code + +
def retrieve_score_for_strategy(score_name=None):
+    if not score_name:
+        score_name = 'PerplexityScore@all'
+
+    def last_score(model):
+        try:
+            return model.scores[score_name][-1]
+        except KeyError:
+            raise KeyError(SCORE_ERROR_MESSAGE.format(score_name))
+    return last_score
+
+
@@ -861,27 +883,6 @@

Returns

-
-class retrieve_score_for_strategy -(score_name) -
-
-
-
- -Expand source code - -
class retrieve_score_for_strategy:
-    def __init__(self, score_name):
-        self.score_name = score_name
-
-    def __call__(self, model):
-        if isinstance(model, str):
-            self.score_name = model
-        else:
-            return model.scores[self.score_name][-1]
-
-
@@ -901,6 +902,7 @@

Index

  • check_experiment_existence
  • get_from_queue_till_fail
  • put_to_queue
    • +
  • retrieve_score_for_strategy

  • Classes

    @@ -912,9 +914,6 @@

    get_jsonable_from_parameters

    • -
  • -

    retrieve_score_for_strategy

    -
    • diff --git a/docs/cooking_machine/cubes/controller_cube.html b/docs/cooking_machine/cubes/controller_cube.html index 18d284b..59005c8 100644 --- a/docs/cooking_machine/cubes/controller_cube.html +++ b/docs/cooking_machine/cubes/controller_cube.html @@ -312,7 +312,7 @@

    Fields

    Parameters ---------- reg_name : str - score_to_track : str or None + score_to_track : str, list of str or None tau_converter : callable or str local_dict : dict max_iters : int or float @@ -322,7 +322,13 @@

    Fields

    """ self.reg_name = reg_name self.tau_converter = tau_converter - self.score_to_track = score_to_track + if isinstance(score_to_track, list): + self.score_to_track = score_to_track + elif isinstance(score_to_track, str): + self.score_to_track = [score_to_track] + else: + self.score_to_track = [] + self.is_working = True self.local_dict = local_dict self.tau_history = [] @@ -371,7 +377,9 @@

    Fields

    self.is_working = False if self.is_working: - should_stop = is_score_out_of_control(model, self.score_to_track) + should_stop = any( + is_score_out_of_control(model, score) for score in self.score_to_track + ) if should_stop: warnings.warn(W_HALT_CONTROL.format(len(self.tau_history))) self.is_working = False @@ -470,7 +478,7 @@

    Fields

    "max_iters": params_dict.get("max_iters", self.num_iter) }, "field": "callback", - "values": params_dict.get('user_value_grid', []) + "values": params_dict.get('user_value_grid', [0]) } for params_dict in all_parameters ] @@ -649,7 +657,7 @@

    Parameters

    reg_name : str
     
    -
    score_to_track : str or None
    +
    score_to_track : str, list of str or None
     
    tau_converter : callable or str
     
    @@ -690,7 +698,7 @@

    Parameters

    Parameters ---------- reg_name : str - score_to_track : str or None + score_to_track : str, list of str or None tau_converter : callable or str local_dict : dict max_iters : int or float @@ -700,7 +708,13 @@

    Parameters

    """ self.reg_name = reg_name self.tau_converter = tau_converter - self.score_to_track = score_to_track + if isinstance(score_to_track, list): + self.score_to_track = score_to_track + elif isinstance(score_to_track, str): + self.score_to_track = [score_to_track] + else: + self.score_to_track = [] + self.is_working = True self.local_dict = local_dict self.tau_history = [] @@ -749,7 +763,9 @@

    Parameters

    self.is_working = False if self.is_working: - should_stop = is_score_out_of_control(model, self.score_to_track) + should_stop = any( + is_score_out_of_control(model, score) for score in self.score_to_track + ) if should_stop: warnings.warn(W_HALT_CONTROL.format(len(self.tau_history))) self.is_working = False @@ -799,7 +815,9 @@

    Parameters

    self.is_working = False if self.is_working: - should_stop = is_score_out_of_control(model, self.score_to_track) + should_stop = any( + is_score_out_of_control(model, score) for score in self.score_to_track + ) if should_stop: warnings.warn(W_HALT_CONTROL.format(len(self.tau_history))) self.is_working = False @@ -957,7 +975,7 @@

    Parameters

    "max_iters": params_dict.get("max_iters", self.num_iter) }, "field": "callback", - "values": params_dict.get('user_value_grid', []) + "values": params_dict.get('user_value_grid', [0]) } for params_dict in all_parameters ] diff --git a/docs/cooking_machine/cubes/cube_creator.html b/docs/cooking_machine/cubes/cube_creator.html index 123029d..766c9ea 100644 --- a/docs/cooking_machine/cubes/cube_creator.html +++ b/docs/cooking_machine/cubes/cube_creator.html @@ -88,7 +88,7 @@

    Module topicnet.cooking_machine.cubes.cube_creatorModule topicnet.cooking_machine.cubes.cube_creatorParameters

    raise AttributeError('This model is not implemented') self._model_class = model.__class__ - self._library_version = model._model.library_version + self._library_version = getattr(model, 'library_version', 'not defined') param_set = [dictionary['name'] for dictionary in parameters] topic_related = set(['topic_names', 'num_topics']) & set(param_set) @@ -467,10 +464,7 @@

    Parameters

    if self._second_level: jsonable_parameters['additional_info'] = 'hierarchical: Second level.' - try: - jsonable_parameters['version'] = self._library_version - except AttributeError: - jsonable_parameters['version'] = "undefined" + jsonable_parameters['version'] = self._library_version return [jsonable_parameters] def apply(self, topic_model, one_cube_parameter, dictionary=None, model_id=None): @@ -535,7 +529,7 @@

    Class variables

    var DEFAULT_SEED_VALUE
    -

    int([x]) -> integer +

    int(x=0) -> integer int(x, base=10) -> integer

    Convert a number or string to an integer, or return 0 if no arguments are given. diff --git a/docs/cooking_machine/cubes/index.html b/docs/cooking_machine/cubes/index.html index 76d92b5..7dca33f 100644 --- a/docs/cooking_machine/cubes/index.html +++ b/docs/cooking_machine/cubes/index.html @@ -19,7 +19,7 @@

    Module topicnet.cooking_machine.cubes

    -

    <<<<<<< HEAD # Cubes and their Strategies

    +

    Cubes and their Strategies

    Cube types:

    • BaseCube — a parent class for all the Cubes
      • @@ -140,4 +140,4 @@

      TopicNet library documentation

      - \ No newline at end of file + diff --git a/docs/cooking_machine/dataset.html b/docs/cooking_machine/dataset.html index f17d2e7..2bde0ad 100644 --- a/docs/cooking_machine/dataset.html +++ b/docs/cooking_machine/dataset.html @@ -138,14 +138,21 @@

      Module topicnet.cooking_machine.dataset

      batch_vectorizer_path=None, batch_size=1000): """ - Parameters ---------- data_path : str - path to a CSV file with input data for training models, - format of the file is <id>,<raw text>,<Vowpal Wabbit text> + path to a .csv file with input data for training models; + file should have the following columns: id, raw_text, vw_text: + + * id (str) — document identificator + * raw_text (str) — raw document text (maybe preprocessed somehow) + * vw_text (str) — vowpal wabbit text (with modalities; either in bag-of-words format + with specified word frequencies or in natural order) + + For an example, one may look at the test dataset here: + topicnet/tests/test_data/test_dataset.csv keep_in_memory: bool - a flag determining if the collection is small enough to + flag determining if the collection is small enough to be kept in memory. batch_vectorizer_path : str path to the directory with collection batches @@ -653,10 +660,20 @@

      Methods

      Parameters

      data_path : str
      -
      path to a CSV file with input data for training models, -format of the file is ,,
      +
      +

      path to a .csv file with input data for training models; +file should have the following columns: id, raw_text, vw_text:

      +
        +
      • id (str) — document identificator
        • +
      • raw_text (str) — raw document text (maybe preprocessed somehow)
        • +
      • vw_text (str) — vowpal wabbit text (with modalities; either in bag-of-words format +with specified word frequencies or in natural order)
        • +
      +

      For an example, one may look at the test dataset here: +topicnet/tests/test_data/test_dataset.csv

      +
      keep_in_memory : bool
      -
      a flag determining if the collection is small enough to +
      flag determining if the collection is small enough to be kept in memory.
      batch_vectorizer_path : str
      path to the directory with collection batches
      @@ -677,14 +694,21 @@

      Parameters

      batch_vectorizer_path=None, batch_size=1000): """ - Parameters ---------- data_path : str - path to a CSV file with input data for training models, - format of the file is <id>,<raw text>,<Vowpal Wabbit text> + path to a .csv file with input data for training models; + file should have the following columns: id, raw_text, vw_text: + + * id (str) — document identificator + * raw_text (str) — raw document text (maybe preprocessed somehow) + * vw_text (str) — vowpal wabbit text (with modalities; either in bag-of-words format + with specified word frequencies or in natural order) + + For an example, one may look at the test dataset here: + topicnet/tests/test_data/test_dataset.csv keep_in_memory: bool - a flag determining if the collection is small enough to + flag determining if the collection is small enough to be kept in memory. batch_vectorizer_path : str path to the directory with collection batches diff --git a/docs/cooking_machine/model_constructor.html b/docs/cooking_machine/model_constructor.html index 7a27dbf..06220fb 100644 --- a/docs/cooking_machine/model_constructor.html +++ b/docs/cooking_machine/model_constructor.html @@ -129,7 +129,6 @@

      Module topicnet.cooking_machine.model_constructor def init_simple_default_model( dataset, modalities_to_use, main_modality, specific_topics, background_topics, - modalities_weights=None ): """ Creates simple artm model with standard scores. @@ -137,19 +136,19 @@

      Module topicnet.cooking_machine.model_constructor Parameters ---------- dataset : Dataset - modalities_to_use : list of str + modalities_to_use : list of str or dict main_modality : str specific_topics : list or int background_topics : list or int - modalities_weights : dict or None Returns ------- model: artm.ARTM() instance """ - if modalities_weights is not None: - assert sorted(list(modalities_to_use)) == sorted(list(modalities_weights.keys())) - baseline_class_ids = {class_id: 1 for class_id in modalities_to_use} + if isinstance(modalities_to_use, dict): + modalities_weights = modalities_to_use + else: + modalities_weights = {class_id: 1 for class_id in modalities_to_use} specific_topic_names, background_topic_names = create_default_topics( specific_topics, background_topics @@ -159,7 +158,7 @@

      Module topicnet.cooking_machine.model_constructor tokens_data = count_vocab_size(dictionary, modalities_to_use) abs_weights = modality_weight_rel2abs( tokens_data, - modalities_weights if modalities_weights is not None else baseline_class_ids, + modalities_weights, main_modality ) @@ -329,7 +328,7 @@

      Returns

    -def init_simple_default_model(dataset, modalities_to_use, main_modality, specific_topics, background_topics, modalities_weights=None) +def init_simple_default_model(dataset, modalities_to_use, main_modality, specific_topics, background_topics)

    Creates simple artm model with standard scores.

    @@ -337,7 +336,7 @@

    Parameters

    dataset : Dataset
     
    -
    modalities_to_use : list of str
    +
    modalities_to_use : list of str or dict
     
    main_modality : str
     
    @@ -345,8 +344,6 @@

    Parameters

     
    background_topics : list or int
     
    -
    modalities_weights : dict or None
    -
     

    Returns

    @@ -360,7 +357,6 @@

    Returns

    def init_simple_default_model(
         dataset, modalities_to_use, main_modality,
         specific_topics, background_topics,
-        modalities_weights=None
 ):
     """
     Creates simple artm model with standard scores.
@@ -368,19 +364,19 @@ 
    Returns
    
     Parameters
     ----------
     dataset : Dataset
-    modalities_to_use : list of str
+    modalities_to_use : list of str or dict
     main_modality : str
     specific_topics : list or int
     background_topics : list or int
-    modalities_weights : dict or None
 
     Returns
     -------
     model: artm.ARTM() instance
     """
-    if modalities_weights is not None:
-        assert sorted(list(modalities_to_use)) == sorted(list(modalities_weights.keys()))
-    baseline_class_ids = {class_id: 1 for class_id in modalities_to_use}
+    if isinstance(modalities_to_use, dict):
+        modalities_weights = modalities_to_use
+    else:
+        modalities_weights = {class_id: 1 for class_id in modalities_to_use}
 
     specific_topic_names, background_topic_names = create_default_topics(
         specific_topics, background_topics
@@ -390,7 +386,7 @@ 
    Returns
    
     tokens_data = count_vocab_size(dictionary, modalities_to_use)
     abs_weights = modality_weight_rel2abs(
         tokens_data,
-        modalities_weights if modalities_weights is not None else baseline_class_ids,
+        modalities_weights,
         main_modality
     )
 
diff --git a/docs/cooking_machine/models/base_score.html b/docs/cooking_machine/models/base_score.html
index db726a2..1d7e55c 100644
--- a/docs/cooking_machine/models/base_score.html
+++ b/docs/cooking_machine/models/base_score.html
@@ -151,7 +151,7 @@ 
    Subclasses
    
 
  • ScoreExample
    • 
 
  • IntratextCoherenceScore
    • 
 
  • BleiLaffertyScore
    • 
-
  • SemanticRaduisScore
    • 
+
  • SemanticRadiusScore
    • 
 
 
    Methods
    
 
    
diff --git a/docs/cooking_machine/models/dummy_topic_model.html b/docs/cooking_machine/models/dummy_topic_model.html
index 721e300..6af5c37 100644
--- a/docs/cooking_machine/models/dummy_topic_model.html
+++ b/docs/cooking_machine/models/dummy_topic_model.html
@@ -51,7 +51,6 @@ 
    Module topicnet.cooking_machine.models.dummy_topic_model
 
 
 class DummyTopicModel(TopicModel):
-    _save_path_suffix = '__dummy'
     _dummy_attribute = '_is_dummy'
 
     def __init__(self,
@@ -81,29 +80,23 @@ 
    Module topicnet.cooking_machine.models.dummy_topic_model
         self._model.dispose()
         self._save_folder_path = None
         self._model = _DummyArtmModel(self._save_folder_path)
-        self._init_parameters = init_parameters
 
+        self._init_parameters = init_parameters
         self._scores = scores
 
         setattr(self, DummyTopicModel._dummy_attribute, True)
 
-        self._original_model_save_folder_path = None
-
     def __getattr__(self, name):
         # Don't redirect the stuff to artm_model (as TopicModel does)
         if name in self._init_parameters:
             return self._init_parameters[name]
+
         raise AttributeError(f'Dummy model has no attribute "{name}"')
 
     def get_init_parameters(self, not_include=None):
         """"""
         return self._init_parameters
 
-    @property
-    def model_default_save_path(self):
-        """"""
-        return super().model_default_save_path + DummyTopicModel._save_path_suffix
-
     @property
     def scores(self):
         """"""
@@ -119,6 +112,15 @@ 
    Module topicnet.cooking_machine.models.dummy_topic_model
         """"""
         return self._model.class_ids
 
+    @property
+    def _save_path(self):
+        return self._save_folder_path
+
+    @_save_path.setter
+    def _save_path(self, path):
+        self._save_folder_path = path
+        self._model._save_folder_path = path
+
     def save(self, model_save_path=None, **kwargs):
         """"""
         # kwargs - for compatibility with super()'s method
@@ -126,20 +128,21 @@ 
    Module topicnet.cooking_machine.models.dummy_topic_model
         # TODO: a bit copy-paste from TopicModel:
         #  can't call super()'s, because artm_model is being saved by default there
 
-        self._save_folder_path = model_save_path or self.model_default_save_path
+        self._save_path = model_save_path or self.model_default_save_path
 
-        if not os.path.exists(self._save_folder_path):
-            os.makedirs(self._save_folder_path)
+        if not os.path.exists(self._save_path):
+            os.makedirs(self._save_path)
 
-        self.save_parameters(self._save_folder_path)
+        self.save_parameters(self._save_path)
 
     @staticmethod
     def load(path, experiment=None):
         """"""
-        params = json.load(open(f'{path}/params.json', 'r'))
+        params = json.load(open(os.path.join(path, 'params.json'), 'r'))
+
         model = DummyTopicModel(**params)
         model.experiment = experiment
-        model._original_model_save_folder_path = path
+        model._save_path = path
 
         return model
 
@@ -166,7 +169,7 @@ 
    Module topicnet.cooking_machine.models.dummy_topic_model
 
         topic_model = None
 
-        if self._original_model_save_folder_path is not None:
+        if self._save_path is not None:
             topic_model = self._load_original_model()
 
         if topic_model is None:
@@ -195,7 +198,7 @@ 
    Module topicnet.cooking_machine.models.dummy_topic_model
 
         try:
             topic_model = super().load(
-                self._original_model_save_folder_path,
+                self._save_path,
                 self.experiment
             )
         except FileNotFoundError as e:
@@ -422,7 +425,6 @@ 
    Notes
    
 Expand source code
 
 
    class DummyTopicModel(TopicModel):
-    _save_path_suffix = '__dummy'
     _dummy_attribute = '_is_dummy'
 
     def __init__(self,
@@ -452,29 +454,23 @@ 
    Notes
    
         self._model.dispose()
         self._save_folder_path = None
         self._model = _DummyArtmModel(self._save_folder_path)
-        self._init_parameters = init_parameters
 
+        self._init_parameters = init_parameters
         self._scores = scores
 
         setattr(self, DummyTopicModel._dummy_attribute, True)
 
-        self._original_model_save_folder_path = None
-
     def __getattr__(self, name):
         # Don't redirect the stuff to artm_model (as TopicModel does)
         if name in self._init_parameters:
             return self._init_parameters[name]
+
         raise AttributeError(f'Dummy model has no attribute "{name}"')
 
     def get_init_parameters(self, not_include=None):
         """"""
         return self._init_parameters
 
-    @property
-    def model_default_save_path(self):
-        """"""
-        return super().model_default_save_path + DummyTopicModel._save_path_suffix
-
     @property
     def scores(self):
         """"""
@@ -490,6 +486,15 @@ 
    Notes
    
         """"""
         return self._model.class_ids
 
+    @property
+    def _save_path(self):
+        return self._save_folder_path
+
+    @_save_path.setter
+    def _save_path(self, path):
+        self._save_folder_path = path
+        self._model._save_folder_path = path
+
     def save(self, model_save_path=None, **kwargs):
         """"""
         # kwargs - for compatibility with super()'s method
@@ -497,20 +502,21 @@ 
    Notes
    
         # TODO: a bit copy-paste from TopicModel:
         #  can't call super()'s, because artm_model is being saved by default there
 
-        self._save_folder_path = model_save_path or self.model_default_save_path
+        self._save_path = model_save_path or self.model_default_save_path
 
-        if not os.path.exists(self._save_folder_path):
-            os.makedirs(self._save_folder_path)
+        if not os.path.exists(self._save_path):
+            os.makedirs(self._save_path)
 
-        self.save_parameters(self._save_folder_path)
+        self.save_parameters(self._save_path)
 
     @staticmethod
     def load(path, experiment=None):
         """"""
-        params = json.load(open(f'{path}/params.json', 'r'))
+        params = json.load(open(os.path.join(path, 'params.json'), 'r'))
+
         model = DummyTopicModel(**params)
         model.experiment = experiment
-        model._original_model_save_folder_path = path
+        model._save_path = path
 
         return model
 
@@ -537,7 +543,7 @@ 
    Notes
    
 
         topic_model = None
 
-        if self._original_model_save_folder_path is not None:
+        if self._save_path is not None:
             topic_model = self._load_original_model()
 
         if topic_model is None:
@@ -566,7 +572,7 @@ 
    Notes
    
 
         try:
             topic_model = super().load(
-                self._original_model_save_folder_path,
+                self._save_path,
                 self.experiment
             )
         except FileNotFoundError as e:
@@ -712,19 +718,6 @@ 
    Instance variables
    
     return self._model.class_ids
    -
    var model_default_save_path
    -
    -
    -
    - -Expand source code - -
    @property
-def model_default_save_path(self):
-    """"""
-    return super().model_default_save_path + DummyTopicModel._save_path_suffix
    -
    -

    Methods

    @@ -788,7 +781,7 @@

    Returns

    topic_model = None - if self._original_model_save_folder_path is not None: + if self._save_path is not None: topic_model = self._load_original_model() if topic_model is None: @@ -818,6 +811,7 @@

    Inherited members

  • save
  • save_parameters
  • scores
    • +
  • select_topics
  • to_dummy
    • @@ -865,7 +859,6 @@

  • class_ids
  • get_init_parameters
    • -
  • model_default_save_path
  • restore
    • diff --git a/docs/cooking_machine/models/index.html b/docs/cooking_machine/models/index.html index 21eb0ce..a0f3339 100644 --- a/docs/cooking_machine/models/index.html +++ b/docs/cooking_machine/models/index.html @@ -33,7 +33,7 @@

    Models and scores

  • ExampleScore — Example of minimal working example of custom score
  • IntratextCoherenceScore — score that calculates coherence as a measure of interpretability of the model using raw documents from dataset. Calculation-heavy score. Recommended to be used after model training
  • BleiLaffertyScore — An experimental light-weight score to estimate interpretability of the topics
    • -
  • SemanticRaduisScore — An experimental score reflecting whether collection is adequately described by topics. Lower if better. Calculation-heavy score.
    • +
  • SemanticRadiusScore — An experimental score reflecting whether collection is adequately described by topics. Lower if better. Calculation-heavy score.

    • Internal model structure

    @@ -176,4 +176,4 @@

    TopicNet library documentation

    - \ No newline at end of file + diff --git a/docs/cooking_machine/models/scores.html b/docs/cooking_machine/models/scores.html index c8c8bd2..bbdace7 100644 --- a/docs/cooking_machine/models/scores.html +++ b/docs/cooking_machine/models/scores.html @@ -27,9 +27,9 @@

    Module topicnet.cooking_machine.models.scores

    from .example_score import ScoreExample from .intratext_coherence_score import IntratextCoherenceScore from .blei_lafferty_score import BleiLaffertyScore -from .semantic_radius_score import SemanticRaduisScore +from .semantic_radius_score import SemanticRadiusScore -__all__ = ["ScoreExample", "IntratextCoherenceScore", "BleiLaffertyScore", "SemanticRaduisScore"] +__all__ = ["ScoreExample", "IntratextCoherenceScore", "BleiLaffertyScore", "SemanticRadiusScore"]
    @@ -788,8 +788,8 @@

    Inherited members

    -
    -class SemanticRaduisScore +
    +class SemanticRadiusScore (batch_vectorizer)
    @@ -807,7 +807,7 @@

    Parameters

    Expand source code -
    class SemanticRaduisScore(BaseScore):
+
    class SemanticRadiusScore(BaseScore):
     """
     This score implements cluster semantic radius, described in paper
     'Проверка гипотезы условной независимости 
@@ -876,7 +876,7 @@ 
    Ancestors
    
 
 
    Methods
    
 
    
-
    
+
    
 def call(self, model, max_sampled_document_len=None, sample_step=5, sample_size=3, alpha=0.1)
 
    
 
    
@@ -980,9 +980,9 @@ 
    SemanticRaduisScore
    
+
    SemanticRadiusScore
    
 
 
 
diff --git a/docs/cooking_machine/models/semantic_radius_score.html b/docs/cooking_machine/models/semantic_radius_score.html
index de0bddc..5293d37 100644
--- a/docs/cooking_machine/models/semantic_radius_score.html
+++ b/docs/cooking_machine/models/semantic_radius_score.html
@@ -25,10 +25,14 @@ 
    Module topicnet.cooking_machine.models.semantic_radius_s
 Expand source code
 
 
    import artm
-import pandas as pd
+
+import operator
+import functools
 import numpy as np
-from collections import Counter
+import pandas as pd
+from collections import Counter, OrderedDict
 from scipy.optimize import curve_fit
+
 from .base_score import BaseScore
 
 # change log style
@@ -41,7 +45,7 @@ 
    Module topicnet.cooking_machine.models.semantic_radius_s
     """
     Calculate all necessary statistics from batch. This may take some time.
     """
-    tokens = []
+    doc2token = {}
     for batch_id in range(len(batch_vectorizer._batches_list)):
         batch_name = batch_vectorizer._batches_list[batch_id]._filename
         batch = artm.messages.Batch()
@@ -50,12 +54,29 @@ 
    Module topicnet.cooking_machine.models.semantic_radius_s
 
         for item_id in range(len(batch.item)):
             item = batch.item[item_id]
-            for token_id in item.token_id:
-                tokens.append(batch.token[token_id])
+            theta_item_id = getattr(item, model.theta_columns_naming)
+
+            doc2token[theta_item_id] = {'tokens': [], 'weights': []}
+            for token_id, token_weight in zip(item.token_id, item.token_weight):
+                doc2token[theta_item_id]['tokens'].append(batch.token[token_id])
+                doc2token[theta_item_id]['weights'].append(token_weight)
+
+    previous_num_document_passes = model._num_document_passes
+    model._num_document_passes = 10
+    ptdw = model.transform(batch_vectorizer=batch_vectorizer, theta_matrix_type='dense_ptdw')
+    model._num_document_passes = previous_num_document_passes
+
+    docs = ptdw.columns
+    docs_unique = OrderedDict.fromkeys(docs).keys()
 
-    ntdw = model.transform(batch_vectorizer=batch_vectorizer, theta_matrix_type='dense_ptdw')
-    docs = ntdw.columns
-    ntdw.columns = pd.MultiIndex.from_arrays([docs, tokens], names=('doc', 'token'))
+    tokens = [doc2token[doc_id]['tokens'] for doc_id in docs_unique]
+    tokens = functools.reduce(operator.iconcat, tokens, [])
+
+    ndw = np.concatenate([np.array(doc2token[doc_id]['weights']) for doc_id in docs_unique])
+    ndw = np.tile(ndw, (ptdw.shape[0], 1))
+
+    ptdw.columns = pd.MultiIndex.from_arrays([docs, tokens], names=('doc', 'token'))
+    ntdw = ptdw * ndw
 
     ntd = ntdw.groupby(level=0, axis=1).sum()
 
@@ -148,7 +169,7 @@ 
    Module topicnet.cooking_machine.models.semantic_radius_s
     return ntd.apply(lambda x: third_degree(x, *regression_coeff))
 
 
-class SemanticRaduisScore(BaseScore):
+class SemanticRadiusScore(BaseScore):
     """
     This score implements cluster semantic radius, described in paper
     'Проверка гипотезы условной независимости 
@@ -232,7 +253,7 @@ 
    Functions
    
     """
     Calculate all necessary statistics from batch. This may take some time.
     """
-    tokens = []
+    doc2token = {}
     for batch_id in range(len(batch_vectorizer._batches_list)):
         batch_name = batch_vectorizer._batches_list[batch_id]._filename
         batch = artm.messages.Batch()
@@ -241,12 +262,29 @@ 
    Functions
    
 
         for item_id in range(len(batch.item)):
             item = batch.item[item_id]
-            for token_id in item.token_id:
-                tokens.append(batch.token[token_id])
+            theta_item_id = getattr(item, model.theta_columns_naming)
+
+            doc2token[theta_item_id] = {'tokens': [], 'weights': []}
+            for token_id, token_weight in zip(item.token_id, item.token_weight):
+                doc2token[theta_item_id]['tokens'].append(batch.token[token_id])
+                doc2token[theta_item_id]['weights'].append(token_weight)
+
+    previous_num_document_passes = model._num_document_passes
+    model._num_document_passes = 10
+    ptdw = model.transform(batch_vectorizer=batch_vectorizer, theta_matrix_type='dense_ptdw')
+    model._num_document_passes = previous_num_document_passes
+
+    docs = ptdw.columns
+    docs_unique = OrderedDict.fromkeys(docs).keys()
+
+    tokens = [doc2token[doc_id]['tokens'] for doc_id in docs_unique]
+    tokens = functools.reduce(operator.iconcat, tokens, [])
+
+    ndw = np.concatenate([np.array(doc2token[doc_id]['weights']) for doc_id in docs_unique])
+    ndw = np.tile(ndw, (ptdw.shape[0], 1))
 
-    ntdw = model.transform(batch_vectorizer=batch_vectorizer, theta_matrix_type='dense_ptdw')
-    docs = ntdw.columns
-    ntdw.columns = pd.MultiIndex.from_arrays([docs, tokens], names=('doc', 'token'))
+    ptdw.columns = pd.MultiIndex.from_arrays([docs, tokens], names=('doc', 'token'))
+    ntdw = ptdw * ndw
 
     ntd = ntdw.groupby(level=0, axis=1).sum()
 
@@ -407,8 +445,8 @@ 
    Functions
    
 
    
 
    Classes
    
 
    
-
    
-class SemanticRaduisScore
+
    
+class SemanticRadiusScore
 (batch_vectorizer)
 
    
 
    
@@ -426,7 +464,7 @@ 
    Parameters
    
 
 Expand source code
 
-
    class SemanticRaduisScore(BaseScore):
+
    class SemanticRadiusScore(BaseScore):
     """
     This score implements cluster semantic radius, described in paper
     'Проверка гипотезы условной независимости 
@@ -495,7 +533,7 @@ 
    Ancestors
    
 
 
    Methods
    
 
    
-
    
+
    
 def call(self, model, max_sampled_document_len=None, sample_step=5, sample_size=3, alpha=0.1)
 
    
 
    
@@ -596,9 +634,9 @@ 
    Index
    
 
  • Classes
    
 
diff --git a/docs/cooking_machine/models/topic_model.html b/docs/cooking_machine/models/topic_model.html
index 4ac5d07..b8c49ec 100644
--- a/docs/cooking_machine/models/topic_model.html
+++ b/docs/cooking_machine/models/topic_model.html
@@ -37,6 +37,7 @@ 
    Module topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_modelModule topicnet.cooking_machine.models.topic_model
    • 
+            entry = [self.model_id, custom_reg_name, custom_reg.tau,
+                     custom_reg.gamma, getattr(custom_reg, "class_ids", None)]
+            data.append(entry)
+        result = pd.DataFrame(
+            columns=["model_id", "regularizer_name", "tau", "gamma", "class_ids"], data=data
+        )
+        return result.set_index(["model_id", "regularizer_name"]).sort_values(by="regularizer_name")
    
 
 
    
 
    
@@ -878,6 +919,7 @@ 
    Parameters
    
         self.data_path = data_path
         self.custom_scores = custom_scores
         self.custom_regularizers = custom_regularizers
+        self.library_version = LIBRARY_VERSION
 
         self._score_caches = None  # returned by model.score, reset by model._fit
 
@@ -1047,7 +1089,7 @@ 
    Parameters
    
             regularizers[name] = [config, tau, gamma]
 
         parameters['regularizers'] = regularizers
-        parameters['version'] = artm.version()
+        parameters['version'] = self.library_version
 
         return parameters
 
@@ -1106,22 +1148,24 @@ 
    Parameters
    
         if not os.path.exists(model_save_path):
             os.makedirs(model_save_path)
         if phi:
-            self._model.get_phi().to_csv(f"{model_save_path}/phi.csv")
+            self._model.get_phi().to_csv(os.path.join(model_save_path, 'phi.csv'))
         if theta:
-            self.get_theta(dataset=dataset).to_csv(f"{model_save_path}/theta.csv")
+            self.get_theta(dataset=dataset).to_csv(os.path.join(model_save_path, 'theta.csv'))
 
-        model_itself_save_path = f"{model_save_path}/model"
+        model_itself_save_path = os.path.join(model_save_path, 'model')
 
         if os.path.exists(model_itself_save_path):
             shutil.rmtree(model_itself_save_path)
+
         self._model.dump_artm_model(model_itself_save_path)
         self.save_parameters(model_save_path)
 
         for score_name, score_object in self.custom_scores.items():
             save_path = os.path.join(model_save_path, score_name + '.p')
-            with open(save_path, 'wb') as score_f:
+
+            with open(save_path, 'wb') as score_file:
                 try:
-                    dill.dump(score_object, score_f)
+                    dill.dump(score_object, score_file)
                 except pickle.PicklingError:
                     warnings.warn(
                         f'Failed to save custom score "{score_object}" correctly! '
@@ -1129,14 +1173,15 @@ 
    Parameters
    
                     )
 
                     frozen_score_object = FrozenScore(score_object.value)
-                    dill.dump(frozen_score_object, score_f)
+                    dill.dump(frozen_score_object, score_file)
 
         self.save_custom_regularizers(model_save_path)
 
         for i, agent in enumerate(self.callbacks):
             save_path = os.path.join(model_save_path, f"callback_{i}.pkl")
-            with open(save_path, 'wb') as agent_f:
-                dill.dump(agent, agent_f)
+
+            with open(save_path, 'wb') as agent_file:
+                dill.dump(agent, agent_file)
 
     @staticmethod
     def load(path, experiment=None):
@@ -1154,15 +1199,14 @@ 
    Parameters
    
         TopicModel
 
         """
-
         if "model" in os.listdir(f"{path}"):
             model = artm.load_artm_model(f"{path}/model")
         else:
             model = None
             print("There is no dumped model. You should train it again.")
 
-        with open(f"{path}/params.json", "r", encoding='utf-8') as params_f:
-            params = json.load(params_f)
+        with open(os.path.join(path, 'params.json'), 'r', encoding='utf-8') as params_file:
+            params = json.load(params_file)
 
         topic_model = TopicModel(model, **params)
         topic_model.experiment = experiment
@@ -1170,23 +1214,25 @@ 
    Parameters
    
         custom_scores = {}
 
         for score_path in glob.glob(os.path.join(path, '*.p')):
-            score_name = os.path.basename(score_path).split('.')[0]
-            with open(score_path, 'rb') as score_f:
-                custom_scores[score_name] = dill.load(score_f)
+            # TODO: file '..p' is not included, so score with name '.' will be lost
+            #  Need to validate score name?
+            score_file_name = os.path.basename(score_path)
+            score_name = os.path.splitext(score_file_name)[0]
+
+            with open(score_path, 'rb') as score_file:
+                custom_scores[score_name] = dill.load(score_file)
 
         topic_model.custom_scores = custom_scores
 
         custom_regularizers = {}
 
-        for regularizer_path in glob.glob(os.path.join(path, '*.rd')):
-            regularizer_name = os.path.basename(regularizer_path).split('.')[0]
-            with open(regularizer_path, 'rb') as reg_f:
-                custom_regularizers[regularizer_name] = dill.load(reg_f)
+        for reg_file_extension, loader in zip(['.rd', '.rp'], [dill, pickle]):
+            for regularizer_path in glob.glob(os.path.join(path, f'*{reg_file_extension}')):
+                regularizer_file_name = os.path.basename(regularizer_path)
+                regularizer_name = os.path.splitext(regularizer_file_name)[0]
 
-        for regularizer_path in glob.glob(os.path.join(path, '*.rp')):
-            regularizer_name = os.path.basename(regularizer_path).split('.')[0]
-            with open(regularizer_path, 'rb') as reg_f:
-                custom_regularizers[regularizer_name] = pickle.load(reg_f)
+                with open(regularizer_path, 'rb') as reg_file:
+                    custom_regularizers[regularizer_name] = loader.load(reg_file)
 
         topic_model.custom_regularizers = custom_regularizers
 
@@ -1194,10 +1240,11 @@ 
    Parameters
    
         topic_model.callbacks = [None for _ in enumerate(all_agents)]
 
         for agent_path in all_agents:
-            filename = os.path.basename(agent_path).split('.')[0]
-            original_index = int(filename.partition("_")[2])
-            with open(agent_path, 'rb') as agent_f:
-                topic_model.callbacks[original_index] = dill.load(agent_f)
+            file_name = os.path.basename(agent_path).split('.')[0]
+            original_index = int(file_name.partition("_")[2])
+
+            with open(agent_path, 'rb') as agent_file:
+                topic_model.callbacks[original_index] = dill.load(agent_file)
 
         topic_model._reset_score_caches()
 
@@ -1509,26 +1556,59 @@ 
    Parameters
    
 
         return regularizers_dict
 
+    def select_topics(self, substrings, invert=False):
+        """
+        Gets all topics containing speified substring
+
+        Returns
+        -------
+        list
+        """
+        return [
+            topic_name for topic_name in self.topic_names
+            if invert != any(
+                substring.lower() in topic_name.lower() for substring in substrings
+            )
+        ]
+
+    @property
+    def background_topics(self):
+        return self.select_topics(["background", "bcg"])
+
+    @property
+    def specific_topics(self):
+        return self.select_topics(["background", "bcg"], invert=True)
+
     @property
     def class_ids(self):
         """ """
         return self._model.class_ids
 
-    def describe_scores(self):
+    def describe_scores(self, verbose=False):
         data = []
         for score_name, score in self.scores.items():
             data.append([self.model_id, score_name, score[-1]])
         result = pd.DataFrame(columns=["model_id", "score_name", "last_value"], data=data)
+        if not verbose:
+            printable_types = result.last_value.apply(lambda x: isinstance(x, Number))
+            result = result.loc[printable_types]
+
         return result.set_index(["model_id", "score_name"])
 
     def describe_regularizers(self):
         data = []
         for reg_name, reg in self.regularizers._data.items():
-            data.append([self.model_id, reg_name, reg.tau, reg.gamma])
+            entry = [self.model_id, reg_name, reg.tau,
+                     reg.gamma, getattr(reg, "class_ids", None)]
+            data.append(entry)
         for custom_reg_name, custom_reg in self.custom_regularizers.items():
-            data.append([self.model_id, custom_reg_name, custom_reg.tau, custom_reg.gamma])
-        result = pd.DataFrame(columns=["model_id", "regularizer_name", "tau", "gamma"], data=data)
-        return result.set_index(["model_id", "regularizer_name"])
    
+            entry = [self.model_id, custom_reg_name, custom_reg.tau,
+                     custom_reg.gamma, getattr(custom_reg, "class_ids", None)]
+            data.append(entry)
+        result = pd.DataFrame(
+            columns=["model_id", "regularizer_name", "tau", "gamma", "class_ids"], data=data
+        )
+        return result.set_index(["model_id", "regularizer_name"]).sort_values(by="regularizer_name")
    
 
 
    Ancestors
    
 
      
@@ -1578,15 +1658,14 @@ 
      Returns
      
     TopicModel
 
     """
-
     if "model" in os.listdir(f"{path}"):
         model = artm.load_artm_model(f"{path}/model")
     else:
         model = None
         print("There is no dumped model. You should train it again.")
 
-    with open(f"{path}/params.json", "r", encoding='utf-8') as params_f:
-        params = json.load(params_f)
+    with open(os.path.join(path, 'params.json'), 'r', encoding='utf-8') as params_file:
+        params = json.load(params_file)
 
     topic_model = TopicModel(model, **params)
     topic_model.experiment = experiment
@@ -1594,23 +1673,25 @@ 
      Returns
      
     custom_scores = {}
 
     for score_path in glob.glob(os.path.join(path, '*.p')):
-        score_name = os.path.basename(score_path).split('.')[0]
-        with open(score_path, 'rb') as score_f:
-            custom_scores[score_name] = dill.load(score_f)
+        # TODO: file '..p' is not included, so score with name '.' will be lost
+        #  Need to validate score name?
+        score_file_name = os.path.basename(score_path)
+        score_name = os.path.splitext(score_file_name)[0]
+
+        with open(score_path, 'rb') as score_file:
+            custom_scores[score_name] = dill.load(score_file)
 
     topic_model.custom_scores = custom_scores
 
     custom_regularizers = {}
 
-    for regularizer_path in glob.glob(os.path.join(path, '*.rd')):
-        regularizer_name = os.path.basename(regularizer_path).split('.')[0]
-        with open(regularizer_path, 'rb') as reg_f:
-            custom_regularizers[regularizer_name] = dill.load(reg_f)
+    for reg_file_extension, loader in zip(['.rd', '.rp'], [dill, pickle]):
+        for regularizer_path in glob.glob(os.path.join(path, f'*{reg_file_extension}')):
+            regularizer_file_name = os.path.basename(regularizer_path)
+            regularizer_name = os.path.splitext(regularizer_file_name)[0]
 
-    for regularizer_path in glob.glob(os.path.join(path, '*.rp')):
-        regularizer_name = os.path.basename(regularizer_path).split('.')[0]
-        with open(regularizer_path, 'rb') as reg_f:
-            custom_regularizers[regularizer_name] = pickle.load(reg_f)
+            with open(regularizer_path, 'rb') as reg_file:
+                custom_regularizers[regularizer_name] = loader.load(reg_file)
 
     topic_model.custom_regularizers = custom_regularizers
 
@@ -1618,10 +1699,11 @@ 
      Returns
      
     topic_model.callbacks = [None for _ in enumerate(all_agents)]
 
     for agent_path in all_agents:
-        filename = os.path.basename(agent_path).split('.')[0]
-        original_index = int(filename.partition("_")[2])
-        with open(agent_path, 'rb') as agent_f:
-            topic_model.callbacks[original_index] = dill.load(agent_f)
+        file_name = os.path.basename(agent_path).split('.')[0]
+        original_index = int(file_name.partition("_")[2])
+
+        with open(agent_path, 'rb') as agent_file:
+            topic_model.callbacks[original_index] = dill.load(agent_file)
 
     topic_model._reset_score_caches()
 
@@ -1662,6 +1744,18 @@ 
      Returns
      
     return regularizers_dict
    +
    var background_topics
    +
    +
    +
    + +Expand source code + +
    @property
+def background_topics(self):
+    return self.select_topics(["background", "bcg"])
    +
    +
    var class_ids
    @@ -1735,6 +1829,18 @@

    Returns

    return self._score_caches
    +
    var specific_topics
    +
    +
    +
    + +Expand source code + +
    @property
+def specific_topics(self):
+    return self.select_topics(["background", "bcg"], invert=True)
    +
    +

    Methods

    @@ -1797,15 +1903,21 @@

    Returns

    def describe_regularizers(self):
     data = []
     for reg_name, reg in self.regularizers._data.items():
-        data.append([self.model_id, reg_name, reg.tau, reg.gamma])
+        entry = [self.model_id, reg_name, reg.tau,
+                 reg.gamma, getattr(reg, "class_ids", None)]
+        data.append(entry)
     for custom_reg_name, custom_reg in self.custom_regularizers.items():
-        data.append([self.model_id, custom_reg_name, custom_reg.tau, custom_reg.gamma])
-    result = pd.DataFrame(columns=["model_id", "regularizer_name", "tau", "gamma"], data=data)
-    return result.set_index(["model_id", "regularizer_name"])
    + entry = [self.model_id, custom_reg_name, custom_reg.tau, + custom_reg.gamma, getattr(custom_reg, "class_ids", None)] + data.append(entry) + result = pd.DataFrame( + columns=["model_id", "regularizer_name", "tau", "gamma", "class_ids"], data=data + ) + return result.set_index(["model_id", "regularizer_name"]).sort_values(by="regularizer_name")
    -def describe_scores(self) +def describe_scores(self, verbose=False)
    @@ -1813,11 +1925,15 @@

    Returns

    Expand source code -
    def describe_scores(self):
+
    def describe_scores(self, verbose=False):
     data = []
     for score_name, score in self.scores.items():
         data.append([self.model_id, score_name, score[-1]])
     result = pd.DataFrame(columns=["model_id", "score_name", "last_value"], data=data)
+    if not verbose:
+        printable_types = result.last_value.apply(lambda x: isinstance(x, Number))
+        result = result.loc[printable_types]
+
     return result.set_index(["model_id", "score_name"])
    @@ -1885,7 +2001,7 @@

    Returns

    regularizers[name] = [config, tau, gamma] parameters['regularizers'] = regularizers - parameters['version'] = artm.version() + parameters['version'] = self.library_version return parameters     @@ -2280,22 +2396,24 @@

    Parameters

    if not os.path.exists(model_save_path): os.makedirs(model_save_path) if phi: - self._model.get_phi().to_csv(f"{model_save_path}/phi.csv") + self._model.get_phi().to_csv(os.path.join(model_save_path, 'phi.csv')) if theta: - self.get_theta(dataset=dataset).to_csv(f"{model_save_path}/theta.csv") + self.get_theta(dataset=dataset).to_csv(os.path.join(model_save_path, 'theta.csv')) - model_itself_save_path = f"{model_save_path}/model" + model_itself_save_path = os.path.join(model_save_path, 'model') if os.path.exists(model_itself_save_path): shutil.rmtree(model_itself_save_path) + self._model.dump_artm_model(model_itself_save_path) self.save_parameters(model_save_path) for score_name, score_object in self.custom_scores.items(): save_path = os.path.join(model_save_path, score_name + '.p') - with open(save_path, 'wb') as score_f: + + with open(save_path, 'wb') as score_file: try: - dill.dump(score_object, score_f) + dill.dump(score_object, score_file) except pickle.PicklingError: warnings.warn( f'Failed to save custom score "{score_object}" correctly! ' @@ -2303,14 +2421,15 @@

    Parameters

    ) frozen_score_object = FrozenScore(score_object.value) - dill.dump(frozen_score_object, score_f) + dill.dump(frozen_score_object, score_file) self.save_custom_regularizers(model_save_path) for i, agent in enumerate(self.callbacks): save_path = os.path.join(model_save_path, f"callback_{i}.pkl") - with open(save_path, 'wb') as agent_f: - dill.dump(agent, agent_f)     + + with open(save_path, 'wb') as agent_file: + dill.dump(agent, agent_file)
    @@ -2340,6 +2459,36 @@

    Parameters

    warnings.warn(f'Cannot save {regularizer_name} regularizer.')     +
    +def select_topics(self, substrings, invert=False) +
    +
    +

    Gets all topics containing speified substring

    +

    Returns

    +
    +
    list
    +
     
    +
    +
    + +Expand source code + +
    def select_topics(self, substrings, invert=False):
+    """
+    Gets all topics containing speified substring
+
+    Returns
+    -------
+    list
+    """
+    return [
+        topic_name for topic_name in self.topic_names
+        if invert != any(
+            substring.lower() in topic_name.lower() for substring in substrings
+        )
+    ]
    +
    +
    def to_dummy(self)
    @@ -2424,6 +2573,7 @@

    Index

    TopicModel

    diff --git a/docs/cooking_machine/pretty_output.html b/docs/cooking_machine/pretty_output.html index d0e71d6..7a62d2f 100644 --- a/docs/cooking_machine/pretty_output.html +++ b/docs/cooking_machine/pretty_output.html @@ -47,7 +47,7 @@

    Module topicnet.cooking_machine.pretty_output

    Subclasses
  • TopSimilarDocumentsViewer
  • TopTokensViewer
  • TopicMapViewer
    • +
  • TopicFlowViewer
  • DocumentClusterViewer
  • TopTopicsFeatures
    • -
  • TopicFlowViewer

    • Instance variables

    diff --git a/docs/viewers/top_tokens_viewer.html b/docs/viewers/top_tokens_viewer.html index 8616b2f..4c0a832 100644 --- a/docs/viewers/top_tokens_viewer.html +++ b/docs/viewers/top_tokens_viewer.html @@ -279,6 +279,13 @@

    Module topicnet.viewers.top_tokens_viewer

    return cluster_top_tokens +# TODO: check why this better than plain df.to_html() +def convert_df_to_html(df): + return df.style\ + .set_table_attributes("style='display:inline'")\ + ._repr_html_() + + class TopTokensViewer(BaseViewer): """Gets top tokens from topic (sorted by scores)""" def __init__(self, @@ -436,7 +443,8 @@

    Module topicnet.viewers.top_tokens_viewer

    topic_top_tokens=None, topic_names: List[str] = None, digits: int = 5, - thresh: float = None) -> str: + thresh: float = None, # Deprecated + horizontally_stack: bool = True) -> str: """ Generates html version of dataframes to be displayed by Jupyter notebooks @@ -452,6 +460,9 @@

    Module topicnet.viewers.top_tokens_viewer

    Number of digits to round each probability to thresh : float [Deprecated] Threshold used for calculating `digits` and throwing out too low probabilities + horizontally_stack : bool + if True, then tokens for each modality will be stacked horizontally + (instead of being a single long multi-line DataFrame) Examples -------- @@ -484,12 +495,20 @@

    Module topicnet.viewers.top_tokens_viewer

    df = self.to_df(topic_names, digits) if len(df) > 0: - df.index = df.index.str.replace('<', '&lt;').str.replace('>', '&gt;') + for level, old_names in enumerate(df.index.levels): + new_names = old_names.str.replace('<', '&lt;').str.replace('>', '&gt;') + renamer = dict(zip(old_names, new_names)) + df.rename(index=renamer, inplace=True, level=level) + + if horizontally_stack: + modalities = df.index.levels[0].unique() + result = ''.join( + convert_df_to_html(df.query("modality == @m")) + for m in modalities + ) + return result - # TODO: check why this better than plain df.to_html() - return df.style\ - .set_table_attributes("style='display:inline'")\ - ._repr_html_() + return convert_df_to_html(df) def to_df(self, topic_names: Iterator[str] = None, digits: int = 5) -> pd.DataFrame: topic_top_tokens = self.view(three_levels=False) @@ -873,6 +892,21 @@

    Returns

    return joint_pwt / np.sum(joint_pwt, axis=0) # sum by all T     +
    +def convert_df_to_html(df) +
    +
    +
    +
    + +Expand source code + +
    def convert_df_to_html(df):
+    return df.style\
+               .set_table_attributes("style='display:inline'")\
+               ._repr_html_()
    +
    +
    def get_top_values(values, top_number, return_indexes=True)
    @@ -1136,7 +1170,8 @@

    Parameters

    topic_top_tokens=None, topic_names: List[str] = None, digits: int = 5, - thresh: float = None) -> str: + thresh: float = None, # Deprecated + horizontally_stack: bool = True) -> str: """ Generates html version of dataframes to be displayed by Jupyter notebooks @@ -1152,6 +1187,9 @@

    Parameters

    Number of digits to round each probability to thresh : float [Deprecated] Threshold used for calculating `digits` and throwing out too low probabilities + horizontally_stack : bool + if True, then tokens for each modality will be stacked horizontally + (instead of being a single long multi-line DataFrame) Examples -------- @@ -1184,12 +1222,20 @@

    Parameters

    df = self.to_df(topic_names, digits) if len(df) > 0: - df.index = df.index.str.replace('<', '&lt;').str.replace('>', '&gt;') + for level, old_names in enumerate(df.index.levels): + new_names = old_names.str.replace('<', '&lt;').str.replace('>', '&gt;') + renamer = dict(zip(old_names, new_names)) + df.rename(index=renamer, inplace=True, level=level) + + if horizontally_stack: + modalities = df.index.levels[0].unique() + result = ''.join( + convert_df_to_html(df.query("modality == @m")) + for m in modalities + ) + return result - # TODO: check why this better than plain df.to_html() - return df.style\ - .set_table_attributes("style='display:inline'")\ - ._repr_html_() + return convert_df_to_html(df) def to_df(self, topic_names: Iterator[str] = None, digits: int = 5) -> pd.DataFrame: topic_top_tokens = self.view(three_levels=False) @@ -1262,7 +1308,7 @@

    Methods

    -def to_html(self, topic_top_tokens=None, topic_names=None, digits=5, thresh=None) +def to_html(self, topic_top_tokens=None, topic_names=None, digits=5, thresh=None, horizontally_stack=True)

    Generates html version of dataframes to be displayed by Jupyter notebooks

    @@ -1278,6 +1324,9 @@

    Parameters

    Number of digits to round each probability to
    thresh : float [Deprecated]
    Threshold used for calculating digits and throwing out too low probabilities
    +
    horizontally_stack : bool
    +
    if True, then tokens for each modality will be stacked horizontally +(instead of being a single long multi-line DataFrame)

    Examples

    >>> from IPython.display import HTML, display_html
@@ -1298,7 +1347,8 @@ 
    Examples
    
         topic_top_tokens=None,
         topic_names: List[str] = None,
         digits: int = 5,
-        thresh: float = None) -> str:
+        thresh: float = None,  # Deprecated
+        horizontally_stack: bool = True) -> str:
     """
     Generates html version of dataframes to be displayed by Jupyter notebooks
 
@@ -1314,6 +1364,9 @@ 
    Examples
    
         Number of digits to round each probability to
     thresh : float [Deprecated]
         Threshold used for calculating `digits` and throwing out too low probabilities
+    horizontally_stack : bool
+        if True, then tokens for each modality will be stacked horizontally
+        (instead of being a single long multi-line DataFrame)
 
     Examples
     --------
@@ -1346,12 +1399,20 @@ 
    Examples
    
     df = self.to_df(topic_names, digits)
 
     if len(df) > 0:
-        df.index = df.index.str.replace('<', '&lt;').str.replace('>', '&gt;')
+        for level, old_names in enumerate(df.index.levels):
+            new_names = old_names.str.replace('<', '&lt;').str.replace('>', '&gt;')
+            renamer = dict(zip(old_names, new_names))
+            df.rename(index=renamer, inplace=True, level=level)
+
+    if horizontally_stack:
+        modalities = df.index.levels[0].unique()
+        result = ''.join(
+            convert_df_to_html(df.query("modality == @m"))
+            for m in modalities
+        )
+        return result
 
-    # TODO: check why this better than plain df.to_html()
-    return df.style\
-        .set_table_attributes("style='display:inline'")\
-        ._repr_html_()
    + return convert_df_to_html(df)
    @@ -1481,6 +1542,7 @@

    Index

  • compute_likelihood_vectorised
  • compute_pt_distribution
  • compute_ptw
    • +
  • convert_df_to_html
  • get_top_values
    • diff --git a/topicnet/.gitignore b/topicnet/.gitignore index b00a9f8..14ec54b 100644 --- a/topicnet/.gitignore +++ b/topicnet/.gitignore @@ -23,3 +23,5 @@ *.pyc bigartm* + +.idea/ diff --git a/topicnet/cooking_machine/config_parser.py b/topicnet/cooking_machine/config_parser.py index 7165c70..9b94d2e 100644 --- a/topicnet/cooking_machine/config_parser.py +++ b/topicnet/cooking_machine/config_parser.py @@ -341,7 +341,7 @@ def build_score(elemtype, elem_args, is_artm_score): Returns ------- - instance of artm.Score or topicnet.BaseScore + instance of artm.scores.BaseScore or topicnet.cooking_machine.models.base_score """ module = artm.scores if is_artm_score else tnscores class_of_object = getattr(module, elemtype) @@ -452,10 +452,10 @@ def parse_modalities_data(parsed): }) parsed["model"]["modalities_weights"].revalidate(local_schema) modalities_weights = parsed["model"]["modalities_weights"].data + return modalities_weights else: - modalities_weights = None modalities_to_use = parsed.data["model"]["modalities_to_use"] - return modalities_to_use, modalities_weights + return modalities_to_use def parse(yaml_string, force_single_thread=False): @@ -488,7 +488,7 @@ def parse(yaml_string, force_single_thread=False): dataset = Dataset(parsed.data["model"]["dataset_path"]) - modalities_to_use, modalities_weights = parse_modalities_data(parsed) + modalities_to_use = parse_modalities_data(parsed) data_stats = count_vocab_size(dataset.get_dictionary(), modalities_to_use) model = init_simple_default_model( @@ -497,7 +497,6 @@ def parse(yaml_string, force_single_thread=False): main_modality=parsed.data["model"]["main_modality"], specific_topics=parsed.data["topics"]["specific_topics"], background_topics=parsed.data["topics"]["background_topics"], - modalities_weights=modalities_weights ) regularizers = _add_parsed_regularizers( diff --git a/topicnet/cooking_machine/cubes/base_cube.py b/topicnet/cooking_machine/cubes/base_cube.py index bfb5a53..e955ffc 100644 --- a/topicnet/cooking_machine/cubes/base_cube.py +++ b/topicnet/cooking_machine/cubes/base_cube.py @@ -2,7 +2,6 @@ from tqdm import tqdm import warnings from multiprocessing import Queue, Process -# from queue import Empty from artm.wrapper.exceptions import ArtmException from .strategy import BaseStrategy @@ -13,6 +12,7 @@ MODEL_RETRIEVE_ERROR = "Retrieved only {0} models out of {1}" STRATEGY_RETRIEVE_ERROR = 'Failed to retrieve strategy parameters' WARNINGS_RETRIEVE_ERROR = 'Failed to return warnings' +SCORE_ERROR_MESSAGE = "Can't find a score ''{0}''. Please add a score with that name to the model." def check_experiment_existence(topic_model): @@ -35,15 +35,16 @@ def check_experiment_existence(topic_model): return is_experiment -class retrieve_score_for_strategy: - def __init__(self, score_name): - self.score_name = score_name +def retrieve_score_for_strategy(score_name=None): + if not score_name: + score_name = 'PerplexityScore@all' - def __call__(self, model): - if isinstance(model, str): - self.score_name = model - else: - return model.scores[self.score_name][-1] + def last_score(model): + try: + return model.scores[score_name][-1] + except KeyError: + raise KeyError(SCORE_ERROR_MESSAGE.format(score_name)) + return last_score # exists for multiprocessing debug diff --git a/topicnet/cooking_machine/cubes/controller_cube.py b/topicnet/cooking_machine/cubes/controller_cube.py index 7723638..e39334d 100644 --- a/topicnet/cooking_machine/cubes/controller_cube.py +++ b/topicnet/cooking_machine/cubes/controller_cube.py @@ -189,7 +189,7 @@ def __init__(self, reg_name, score_to_track, tau_converter, max_iters, local_dic Parameters ---------- reg_name : str - score_to_track : str or None + score_to_track : str, list of str or None tau_converter : callable or str local_dict : dict max_iters : int or float @@ -199,7 +199,13 @@ def __init__(self, reg_name, score_to_track, tau_converter, max_iters, local_dic """ self.reg_name = reg_name self.tau_converter = tau_converter - self.score_to_track = score_to_track + if isinstance(score_to_track, list): + self.score_to_track = score_to_track + elif isinstance(score_to_track, str): + self.score_to_track = [score_to_track] + else: + self.score_to_track = [] + self.is_working = True self.local_dict = local_dict self.tau_history = [] @@ -248,7 +254,9 @@ def invoke(self, model, cur_iter): self.is_working = False if self.is_working: - should_stop = is_score_out_of_control(model, self.score_to_track) + should_stop = any( + is_score_out_of_control(model, score) for score in self.score_to_track + ) if should_stop: warnings.warn(W_HALT_CONTROL.format(len(self.tau_history))) self.is_working = False @@ -347,7 +355,7 @@ def _convert_parameters(self, all_parameters): "max_iters": params_dict.get("max_iters", self.num_iter) }, "field": "callback", - "values": params_dict.get('user_value_grid', []) + "values": params_dict.get('user_value_grid', [0]) } for params_dict in all_parameters ] diff --git a/topicnet/cooking_machine/cubes/cube_creator.py b/topicnet/cooking_machine/cubes/cube_creator.py index daddc77..ff849a9 100644 --- a/topicnet/cooking_machine/cubes/cube_creator.py +++ b/topicnet/cooking_machine/cubes/cube_creator.py @@ -62,7 +62,7 @@ def __init__(self, num_iter: int, parameters, reg_search="grid", strategy=None, raise AttributeError('This model is not implemented') self._model_class = model.__class__ - self._library_version = model._model.library_version + self._library_version = getattr(model, 'library_version', 'not defined') param_set = [dictionary['name'] for dictionary in parameters] topic_related = set(['topic_names', 'num_topics']) & set(param_set) @@ -172,10 +172,7 @@ def get_jsonable_from_parameters(self): if self._second_level: jsonable_parameters['additional_info'] = 'hierarchical: Second level.' - try: - jsonable_parameters['version'] = self._library_version - except AttributeError: - jsonable_parameters['version'] = "undefined" + jsonable_parameters['version'] = self._library_version return [jsonable_parameters] def apply(self, topic_model, one_cube_parameter, dictionary=None, model_id=None): diff --git a/topicnet/cooking_machine/dataset.py b/topicnet/cooking_machine/dataset.py index 2347975..5169d3f 100644 --- a/topicnet/cooking_machine/dataset.py +++ b/topicnet/cooking_machine/dataset.py @@ -112,14 +112,21 @@ def __init__(self, data_path, batch_vectorizer_path=None, batch_size=1000): """ - Parameters ---------- data_path : str - path to a CSV file with input data for training models, - format of the file is ,, + path to a .csv file with input data for training models; + file should have the following columns: id, raw_text, vw_text: + + * id (str) — document identificator + * raw_text (str) — raw document text (maybe preprocessed somehow) + * vw_text (str) — vowpal wabbit text (with modalities; either in bag-of-words format + with specified word frequencies or in natural order) + + For an example, one may look at the test dataset here: + topicnet/tests/test_data/test_dataset.csv keep_in_memory: bool - a flag determining if the collection is small enough to + flag determining if the collection is small enough to be kept in memory. batch_vectorizer_path : str path to the directory with collection batches diff --git a/topicnet/cooking_machine/model_constructor.py b/topicnet/cooking_machine/model_constructor.py index 28d3d36..fe439be 100644 --- a/topicnet/cooking_machine/model_constructor.py +++ b/topicnet/cooking_machine/model_constructor.py @@ -103,7 +103,6 @@ def create_default_topics(specific_topics, background_topics): def init_simple_default_model( dataset, modalities_to_use, main_modality, specific_topics, background_topics, - modalities_weights=None ): """ Creates simple artm model with standard scores. @@ -111,19 +110,19 @@ def init_simple_default_model( Parameters ---------- dataset : Dataset - modalities_to_use : list of str + modalities_to_use : list of str or dict main_modality : str specific_topics : list or int background_topics : list or int - modalities_weights : dict or None Returns ------- model: artm.ARTM() instance """ - if modalities_weights is not None: - assert sorted(list(modalities_to_use)) == sorted(list(modalities_weights.keys())) - baseline_class_ids = {class_id: 1 for class_id in modalities_to_use} + if isinstance(modalities_to_use, dict): + modalities_weights = modalities_to_use + else: + modalities_weights = {class_id: 1 for class_id in modalities_to_use} specific_topic_names, background_topic_names = create_default_topics( specific_topics, background_topics @@ -133,7 +132,7 @@ def init_simple_default_model( tokens_data = count_vocab_size(dictionary, modalities_to_use) abs_weights = modality_weight_rel2abs( tokens_data, - modalities_weights if modalities_weights is not None else baseline_class_ids, + modalities_weights, main_modality ) diff --git a/topicnet/cooking_machine/models/README.md b/topicnet/cooking_machine/models/README.md index 3ddc105..af7d050 100644 --- a/topicnet/cooking_machine/models/README.md +++ b/topicnet/cooking_machine/models/README.md @@ -14,7 +14,7 @@ Availiable scores: * `ExampleScore` — Example of minimal working example of custom score * `IntratextCoherenceScore` — score that calculates coherence as a measure of interpretability of the model using raw documents from dataset. Calculation-heavy score. Recommended to be used **after** model training * `BleiLaffertyScore` — An experimental light-weight score to estimate interpretability of the topics -* `SemanticRaduisScore` — An experimental score reflecting whether collection is adequately described by topics. Lower if better. Calculation-heavy score. +* `SemanticRadiusScore` — An experimental score reflecting whether collection is adequately described by topics. Lower if better. Calculation-heavy score. --- diff --git a/topicnet/cooking_machine/models/dummy_topic_model.py b/topicnet/cooking_machine/models/dummy_topic_model.py index 6867d7f..9331457 100644 --- a/topicnet/cooking_machine/models/dummy_topic_model.py +++ b/topicnet/cooking_machine/models/dummy_topic_model.py @@ -25,7 +25,6 @@ def __init__(self, message='Dummy model can\'t do this'): class DummyTopicModel(TopicModel): - _save_path_suffix = '__dummy' _dummy_attribute = '_is_dummy' def __init__(self, @@ -55,29 +54,23 @@ def __init__(self, self._model.dispose() self._save_folder_path = None self._model = _DummyArtmModel(self._save_folder_path) - self._init_parameters = init_parameters + self._init_parameters = init_parameters self._scores = scores setattr(self, DummyTopicModel._dummy_attribute, True) - self._original_model_save_folder_path = None - def __getattr__(self, name): # Don't redirect the stuff to artm_model (as TopicModel does) if name in self._init_parameters: return self._init_parameters[name] + raise AttributeError(f'Dummy model has no attribute "{name}"') def get_init_parameters(self, not_include=None): """""" return self._init_parameters - @property - def model_default_save_path(self): - """""" - return super().model_default_save_path + DummyTopicModel._save_path_suffix - @property def scores(self): """""" @@ -93,6 +86,15 @@ def class_ids(self): """""" return self._model.class_ids + @property + def _save_path(self): + return self._save_folder_path + + @_save_path.setter + def _save_path(self, path): + self._save_folder_path = path + self._model._save_folder_path = path + def save(self, model_save_path=None, **kwargs): """""" # kwargs - for compatibility with super()'s method @@ -100,20 +102,21 @@ def save(self, model_save_path=None, **kwargs): # TODO: a bit copy-paste from TopicModel: # can't call super()'s, because artm_model is being saved by default there - self._save_folder_path = model_save_path or self.model_default_save_path + self._save_path = model_save_path or self.model_default_save_path - if not os.path.exists(self._save_folder_path): - os.makedirs(self._save_folder_path) + if not os.path.exists(self._save_path): + os.makedirs(self._save_path) - self.save_parameters(self._save_folder_path) + self.save_parameters(self._save_path) @staticmethod def load(path, experiment=None): """""" - params = json.load(open(f'{path}/params.json', 'r')) + params = json.load(open(os.path.join(path, 'params.json'), 'r')) + model = DummyTopicModel(**params) model.experiment = experiment - model._original_model_save_folder_path = path + model._save_path = path return model @@ -140,7 +143,7 @@ def restore(self, dataset: Dataset = None): topic_model = None - if self._original_model_save_folder_path is not None: + if self._save_path is not None: topic_model = self._load_original_model() if topic_model is None: @@ -169,7 +172,7 @@ def _load_original_model(self): try: topic_model = super().load( - self._original_model_save_folder_path, + self._save_path, self.experiment ) except FileNotFoundError as e: diff --git a/topicnet/cooking_machine/models/scores.py b/topicnet/cooking_machine/models/scores.py index 5fab9ac..ab53e65 100644 --- a/topicnet/cooking_machine/models/scores.py +++ b/topicnet/cooking_machine/models/scores.py @@ -1,6 +1,6 @@ from .example_score import ScoreExample from .intratext_coherence_score import IntratextCoherenceScore from .blei_lafferty_score import BleiLaffertyScore -from .semantic_radius_score import SemanticRaduisScore +from .semantic_radius_score import SemanticRadiusScore -__all__ = ["ScoreExample", "IntratextCoherenceScore", "BleiLaffertyScore", "SemanticRaduisScore"] +__all__ = ["ScoreExample", "IntratextCoherenceScore", "BleiLaffertyScore", "SemanticRadiusScore"] diff --git a/topicnet/cooking_machine/models/semantic_radius_score.py b/topicnet/cooking_machine/models/semantic_radius_score.py index bf2cbd0..e133efa 100644 --- a/topicnet/cooking_machine/models/semantic_radius_score.py +++ b/topicnet/cooking_machine/models/semantic_radius_score.py @@ -1,8 +1,12 @@ import artm -import pandas as pd + +import operator +import functools import numpy as np -from collections import Counter +import pandas as pd +from collections import Counter, OrderedDict from scipy.optimize import curve_fit + from .base_score import BaseScore # change log style @@ -15,7 +19,7 @@ def calculate_n(model, batch_vectorizer): """ Calculate all necessary statistics from batch. This may take some time. """ - tokens = [] + doc2token = {} for batch_id in range(len(batch_vectorizer._batches_list)): batch_name = batch_vectorizer._batches_list[batch_id]._filename batch = artm.messages.Batch() @@ -24,12 +28,29 @@ def calculate_n(model, batch_vectorizer): for item_id in range(len(batch.item)): item = batch.item[item_id] - for token_id in item.token_id: - tokens.append(batch.token[token_id]) + theta_item_id = getattr(item, model.theta_columns_naming) + + doc2token[theta_item_id] = {'tokens': [], 'weights': []} + for token_id, token_weight in zip(item.token_id, item.token_weight): + doc2token[theta_item_id]['tokens'].append(batch.token[token_id]) + doc2token[theta_item_id]['weights'].append(token_weight) + + previous_num_document_passes = model._num_document_passes + model._num_document_passes = 10 + ptdw = model.transform(batch_vectorizer=batch_vectorizer, theta_matrix_type='dense_ptdw') + model._num_document_passes = previous_num_document_passes + + docs = ptdw.columns + docs_unique = OrderedDict.fromkeys(docs).keys() + + tokens = [doc2token[doc_id]['tokens'] for doc_id in docs_unique] + tokens = functools.reduce(operator.iconcat, tokens, []) + + ndw = np.concatenate([np.array(doc2token[doc_id]['weights']) for doc_id in docs_unique]) + ndw = np.tile(ndw, (ptdw.shape[0], 1)) - ntdw = model.transform(batch_vectorizer=batch_vectorizer, theta_matrix_type='dense_ptdw') - docs = ntdw.columns - ntdw.columns = pd.MultiIndex.from_arrays([docs, tokens], names=('doc', 'token')) + ptdw.columns = pd.MultiIndex.from_arrays([docs, tokens], names=('doc', 'token')) + ntdw = ptdw * ndw ntd = ntdw.groupby(level=0, axis=1).sum() @@ -122,7 +143,7 @@ def radii_for_ntd(ntd, regression_coeff): return ntd.apply(lambda x: third_degree(x, *regression_coeff)) -class SemanticRaduisScore(BaseScore): +class SemanticRadiusScore(BaseScore): """ This score implements cluster semantic radius, described in paper 'Проверка гипотезы условной независимости diff --git a/topicnet/cooking_machine/models/topic_model.py b/topicnet/cooking_machine/models/topic_model.py index cd1b0de..70466b6 100644 --- a/topicnet/cooking_machine/models/topic_model.py +++ b/topicnet/cooking_machine/models/topic_model.py @@ -11,6 +11,7 @@ import pandas as pd import warnings import inspect +from numbers import Number import artm from artm.wrapper.exceptions import ArtmException @@ -25,7 +26,8 @@ lc.minloglevel = 3 lib = artm.wrapper.LibArtm(logging_config=lc) -ARTM_NINE = artm.version().split(".")[1] == "9" +LIBRARY_VERSION = artm.version() +ARTM_NINE = LIBRARY_VERSION.split(".")[1] == "9" SUPPORTED_SCORES_WITHOUT_VALUE_PROPERTY = ( artm.score_tracker.TopTokensScoreTracker, @@ -95,6 +97,7 @@ def __init__(self, artm_model=None, model_id=None, self.data_path = data_path self.custom_scores = custom_scores self.custom_regularizers = custom_regularizers + self.library_version = LIBRARY_VERSION self._score_caches = None # returned by model.score, reset by model._fit @@ -264,7 +267,7 @@ def get_jsonable_from_parameters(self): regularizers[name] = [config, tau, gamma] parameters['regularizers'] = regularizers - parameters['version'] = artm.version() + parameters['version'] = self.library_version return parameters @@ -323,22 +326,24 @@ def save(self, if not os.path.exists(model_save_path): os.makedirs(model_save_path) if phi: - self._model.get_phi().to_csv(f"{model_save_path}/phi.csv") + self._model.get_phi().to_csv(os.path.join(model_save_path, 'phi.csv')) if theta: - self.get_theta(dataset=dataset).to_csv(f"{model_save_path}/theta.csv") + self.get_theta(dataset=dataset).to_csv(os.path.join(model_save_path, 'theta.csv')) - model_itself_save_path = f"{model_save_path}/model" + model_itself_save_path = os.path.join(model_save_path, 'model') if os.path.exists(model_itself_save_path): shutil.rmtree(model_itself_save_path) + self._model.dump_artm_model(model_itself_save_path) self.save_parameters(model_save_path) for score_name, score_object in self.custom_scores.items(): save_path = os.path.join(model_save_path, score_name + '.p') - with open(save_path, 'wb') as score_f: + + with open(save_path, 'wb') as score_file: try: - dill.dump(score_object, score_f) + dill.dump(score_object, score_file) except pickle.PicklingError: warnings.warn( f'Failed to save custom score "{score_object}" correctly! ' @@ -346,14 +351,15 @@ def save(self, ) frozen_score_object = FrozenScore(score_object.value) - dill.dump(frozen_score_object, score_f) + dill.dump(frozen_score_object, score_file) self.save_custom_regularizers(model_save_path) for i, agent in enumerate(self.callbacks): save_path = os.path.join(model_save_path, f"callback_{i}.pkl") - with open(save_path, 'wb') as agent_f: - dill.dump(agent, agent_f) + + with open(save_path, 'wb') as agent_file: + dill.dump(agent, agent_file) @staticmethod def load(path, experiment=None): @@ -371,15 +377,14 @@ def load(path, experiment=None): TopicModel """ - if "model" in os.listdir(f"{path}"): model = artm.load_artm_model(f"{path}/model") else: model = None print("There is no dumped model. You should train it again.") - with open(f"{path}/params.json", "r", encoding='utf-8') as params_f: - params = json.load(params_f) + with open(os.path.join(path, 'params.json'), 'r', encoding='utf-8') as params_file: + params = json.load(params_file) topic_model = TopicModel(model, **params) topic_model.experiment = experiment @@ -387,23 +392,25 @@ def load(path, experiment=None): custom_scores = {} for score_path in glob.glob(os.path.join(path, '*.p')): - score_name = os.path.basename(score_path).split('.')[0] - with open(score_path, 'rb') as score_f: - custom_scores[score_name] = dill.load(score_f) + # TODO: file '..p' is not included, so score with name '.' will be lost + # Need to validate score name? + score_file_name = os.path.basename(score_path) + score_name = os.path.splitext(score_file_name)[0] + + with open(score_path, 'rb') as score_file: + custom_scores[score_name] = dill.load(score_file) topic_model.custom_scores = custom_scores custom_regularizers = {} - for regularizer_path in glob.glob(os.path.join(path, '*.rd')): - regularizer_name = os.path.basename(regularizer_path).split('.')[0] - with open(regularizer_path, 'rb') as reg_f: - custom_regularizers[regularizer_name] = dill.load(reg_f) + for reg_file_extension, loader in zip(['.rd', '.rp'], [dill, pickle]): + for regularizer_path in glob.glob(os.path.join(path, f'*{reg_file_extension}')): + regularizer_file_name = os.path.basename(regularizer_path) + regularizer_name = os.path.splitext(regularizer_file_name)[0] - for regularizer_path in glob.glob(os.path.join(path, '*.rp')): - regularizer_name = os.path.basename(regularizer_path).split('.')[0] - with open(regularizer_path, 'rb') as reg_f: - custom_regularizers[regularizer_name] = pickle.load(reg_f) + with open(regularizer_path, 'rb') as reg_file: + custom_regularizers[regularizer_name] = loader.load(reg_file) topic_model.custom_regularizers = custom_regularizers @@ -411,10 +418,11 @@ def load(path, experiment=None): topic_model.callbacks = [None for _ in enumerate(all_agents)] for agent_path in all_agents: - filename = os.path.basename(agent_path).split('.')[0] - original_index = int(filename.partition("_")[2]) - with open(agent_path, 'rb') as agent_f: - topic_model.callbacks[original_index] = dill.load(agent_f) + file_name = os.path.basename(agent_path).split('.')[0] + original_index = int(file_name.partition("_")[2]) + + with open(agent_path, 'rb') as agent_file: + topic_model.callbacks[original_index] = dill.load(agent_file) topic_model._reset_score_caches() @@ -726,23 +734,56 @@ def all_regularizers(self): return regularizers_dict + def select_topics(self, substrings, invert=False): + """ + Gets all topics containing speified substring + + Returns + ------- + list + """ + return [ + topic_name for topic_name in self.topic_names + if invert != any( + substring.lower() in topic_name.lower() for substring in substrings + ) + ] + + @property + def background_topics(self): + return self.select_topics(["background", "bcg"]) + + @property + def specific_topics(self): + return self.select_topics(["background", "bcg"], invert=True) + @property def class_ids(self): """ """ return self._model.class_ids - def describe_scores(self): + def describe_scores(self, verbose=False): data = [] for score_name, score in self.scores.items(): data.append([self.model_id, score_name, score[-1]]) result = pd.DataFrame(columns=["model_id", "score_name", "last_value"], data=data) + if not verbose: + printable_types = result.last_value.apply(lambda x: isinstance(x, Number)) + result = result.loc[printable_types] + return result.set_index(["model_id", "score_name"]) def describe_regularizers(self): data = [] for reg_name, reg in self.regularizers._data.items(): - data.append([self.model_id, reg_name, reg.tau, reg.gamma]) + entry = [self.model_id, reg_name, reg.tau, + reg.gamma, getattr(reg, "class_ids", None)] + data.append(entry) for custom_reg_name, custom_reg in self.custom_regularizers.items(): - data.append([self.model_id, custom_reg_name, custom_reg.tau, custom_reg.gamma]) - result = pd.DataFrame(columns=["model_id", "regularizer_name", "tau", "gamma"], data=data) - return result.set_index(["model_id", "regularizer_name"]) + entry = [self.model_id, custom_reg_name, custom_reg.tau, + custom_reg.gamma, getattr(custom_reg, "class_ids", None)] + data.append(entry) + result = pd.DataFrame( + columns=["model_id", "regularizer_name", "tau", "gamma", "class_ids"], data=data + ) + return result.set_index(["model_id", "regularizer_name"]).sort_values(by="regularizer_name") diff --git a/topicnet/cooking_machine/pretty_output.py b/topicnet/cooking_machine/pretty_output.py index b2d54fd..52b296b 100644 --- a/topicnet/cooking_machine/pretty_output.py +++ b/topicnet/cooking_machine/pretty_output.py @@ -21,7 +21,7 @@ "parent_model_weight", "theta_columns_naming", "transaction_typenames", "score_tracker", "model_pwt", "model_nwt", "num_phi_updates", "num_online_processed_batches", "show_progress_bars", - "library_version", "version", "regularizers", + "version", "regularizers", } diff --git a/topicnet/demos/Making-Decorrelation-and-Topic-Selection-Friends.ipynb b/topicnet/demos/Making-Decorrelation-and-Topic-Selection-Friends.ipynb new file mode 100644 index 0000000..1e92fc5 --- /dev/null +++ b/topicnet/demos/Making-Decorrelation-and-Topic-Selection-Friends.ipynb @@ -0,0 +1,7863 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Making Decorrelation and Topic Selection Friends\n", + "\n", + "ARTM library makes it possible to modify topic model training procedure by introducing *regularizers*: additional terms that reduce possible number of solutions in the equation being optimized.\n", + "Final topic model is more likely to have some desirable properties, imposed by the regularizers.\n", + "\n", + "There are a couple of particulalry useful regularizers, which are recommended to use in almost any case, one of these is [Decorrelator Phi](https://bigartm.readthedocs.io/en/stable/tutorials/regularizers_descr.html#decorrelator-phi).\n", + "There is also one: [Topic Selection Theta](https://bigartm.readthedocs.io/en/stable/tutorials/regularizers_descr.html#topic-selection-theta) — which may help in finding the number of topics in the dataset.\n", + "However, these two may have a negative effect on each other if being used at the same time (one may see [paper](https://userpages.umbc.edu/~kogan/teaching/m710/15fall/papers/Voron15slds.pdf)).\n", + "\n", + "The ultimate goal of this notebook is to show how, using TopicNet functionality, one can conveniently combine regularizers in different (sometimes quite nontrivial) ways.\n", + "Regularizers chosen for demonstration are mentioned Decorrelator Phi & Topic Selection Theta: finding best combination strategy is especially relevant in this case." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# General\n", + "\n", + "from collections import Counter\n", + "from datetime import datetime\n", + "from functools import reduce\n", + "from itertools import combinations\n", + "import json\n", + "import numpy as np\n", + "import os\n", + "import pandas as pd\n", + "import re\n", + "import shutil\n", + "import tempfile\n", + "\n", + "\n", + "# Data\n", + "\n", + "from sklearn.datasets import fetch_20newsgroups\n", + "\n", + "\n", + "# Plots\n", + "\n", + "from matplotlib import pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "%matplotlib inline\n", + "\n", + "\n", + "# NLP\n", + "\n", + "import artm\n", + "from nltk.corpus import stopwords\n", + "from nltk.stem import WordNetLemmatizer\n", + "\n", + "from topicnet.cooking_machine.cubes import RegularizersModifierCube\n", + "from topicnet.cooking_machine.cubes import RegularizationControllerCube\n", + "from topicnet.cooking_machine.dataset import Dataset\n", + "from topicnet.cooking_machine.experiment import Experiment\n", + "from topicnet.cooking_machine.models import BaseScore\n", + "from topicnet.cooking_machine.models import TopicModel\n", + "from topicnet.cooking_machine.model_constructor import add_standard_scores" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ENGLISH_STOPWORDS = set(stopwords.words('english'))\n", + "ENGLISH_LEMMATIZER = WordNetLemmatizer()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ARTM and TopicNet versions.\n", + "Ideally, the notebook should work with any newer versions of the libraries, but still there is a possibility that some minor details may become outdated.\n", + "\n", + "P.S. \n", + "Some warning were manually deleted from the notebook, so as not to distract attention" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ARTM version: 0.10.0\n", + "TopicNet release: v0.5.0\n" + ] + } + ], + "source": [ + "print('ARTM version:', artm.version())\n", + "print('TopicNet release: v0.5.0')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Link to TopicNet release that was used in the notebook: \n", + "https://github.com/machine-intelligence-laboratory/TopicNet/releases/tag/v0.5.0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Default font size in plots" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10.0" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plt.rcParams['font.size']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We make it bigger" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.rcParams.update({'font.size': 20})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The notebook appeared way bigger than expected: a huge part is devoted to data explorations and preparation, and constructing custom topic model scores." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Contents\n", + "\n", + "* [Dataset](#dataset)\n", + " * [Basic Study](#basic-study)\n", + " * [Preprocessing](#preprocessing)\n", + "* [TopicNet](#topicnet)\n", + " * [Data Preparation](#topicnet-data-preparation)\n", + " * [Vowpal Wabbit](#vowpal-wabbit)\n", + " * [Cooccurrences](#cooccurrences)\n", + " * [Model Initialization](#model-initialization)\n", + " * [Fixing Regularizer Parameters](#fixing-regularizers)\n", + " * [Decorrelation](#fixing-decorrelation)\n", + " * [Topic Selection](#fixing-topic-selection)\n", + " * [Sparsing](#fixing-sparsing)\n", + " * [Best Parameters](#best-parameters)\n", + " * [Combining Regularizers in Different Ways](#combining-regularizers)\n", + " * [Decorrelation, Topic Selection](#decorr-select)\n", + " * [Topic Selection, Decorrelation](#select-decorr)\n", + " * [Decorrelation with Topic Selection (Short)](#decorr-with-select-short)\n", + " * [Decorrelation with Topic Selection (Long)](#decorr-with-select-long)\n", + " * [Sophisticated. All at Once but One after Another](#sophisticated-one-after-another)\n", + " * [Sophisticated. Changing Parameters](#sophisticated-changing)\n", + " * [Sophisticated. Alternating Order](#sophisticated-alternating)\n", + " * [Sophisticated. Alternating Order & Changing Parameters](#sophisticated-alternating-and-changing)\n", + "* [Results](#results)\n", + "* [Conclusion](#conclusion)\n", + "* [Appendix. Non-Topic Modeling Baseline](#appendix1-non-topic)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dataset\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Loading full train and test data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "full_train_dataset = fetch_20newsgroups(\n", + " subset='train',\n", + " random_state=42\n", + ")\n", + "full_test_dataset = fetch_20newsgroups(\n", + " subset='test',\n", + " random_state=42\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Loading reduced versions without meta data (eg. headers, footers), so as to train models on just plain text." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_dataset = fetch_20newsgroups(\n", + " subset='train',\n", + " remove=('headers', 'footers', 'quotes'),\n", + " random_state=42\n", + ")\n", + "test_dataset = fetch_20newsgroups(\n", + " subset='test',\n", + " remove=('headers', 'footers', 'quotes'),\n", + " random_state=42\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are 20 topics in the dataset, some are closely related to each other." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['alt.atheism',\n", + " 'comp.graphics',\n", + " 'comp.os.ms-windows.misc',\n", + " 'comp.sys.ibm.pc.hardware',\n", + " 'comp.sys.mac.hardware',\n", + " 'comp.windows.x',\n", + " 'misc.forsale',\n", + " 'rec.autos',\n", + " 'rec.motorcycles',\n", + " 'rec.sport.baseball',\n", + " 'rec.sport.hockey',\n", + " 'sci.crypt',\n", + " 'sci.electronics',\n", + " 'sci.med',\n", + " 'sci.space',\n", + " 'soc.religion.christian',\n", + " 'talk.politics.guns',\n", + " 'talk.politics.mideast',\n", + " 'talk.politics.misc',\n", + " 'talk.religion.misc']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_dataset.target_names" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Texts are arranged in list" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "list" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(train_dataset.data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at one piece of text from train data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "I was wondering if anyone out there could enlighten me on this car I saw\n", + "the other day. It was a 2-door sports car, looked to be from the late 60s/\n", + "early 70s. It was called a Bricklin. The doors were really small. In addition,\n", + "the front bumper was separate from the rest of the body. This is \n", + "all I know. If anyone can tellme a model name, engine specs, years\n", + "of production, where this car is made, history, or whatever info you\n", + "have on this funky looking car, please e-mail.\n" + ] + } + ], + "source": [ + "print(train_dataset.data[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Targets are encoded known text topics" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 7, 4, 4, 1, 14])" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_dataset.target[:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Basic Study\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How many documents are there in train and test datasets?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "11314 documents, 13.782 MB (train)\n", + " 7532 documents, 8.262 MB (test)\n" + ] + } + ], + "source": [ + "def size_mb(docs):\n", + " return sum(len(s.encode('utf-8')) for s in docs) / 10 ** 6\n", + "\n", + "train_dataset_size_mb = size_mb(train_dataset.data)\n", + "test_dataset_size_mb = size_mb(test_dataset.data)\n", + "\n", + "print(f'{len(train_dataset.data):5d} documents, {train_dataset_size_mb:7.3f} MB (train)')\n", + "print(f'{len(test_dataset.data):5d} documents, {test_dataset_size_mb:7.3f} MB (test)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How many documents are in each topic?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "figure = plt.figure(figsize=(10, 10))\n", + "\n", + "targets, sizes = np.unique(train_dataset.target, return_counts=True)\n", + "target_names = [train_dataset.target_names[i] for i in targets]\n", + "\n", + "patches, _, _ = plt.pie(sizes, autopct='%1.1f%%', wedgeprops={'alpha': 0.8})\n", + "\n", + "plt.legend(patches, target_names, loc=(1, 0.0))\n", + "\n", + "plt.axis('equal')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Topics have roughly the same number of documents" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It might also be useful to look at some language statistical properties: words distribution, document lengths distribution.\n", + "Below are just some functions for analyzing texts." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "COLOR = (176/255, 0, 0)\n", + "FIGSIZE = (15, 10)\n", + "SMALL_FIGSIZE = (10, 6)\n", + "LINEWIDTH = 5\n", + "LABELPAD = 10\n", + "\n", + "\n", + "# https://en.wikipedia.org/wiki/Zipf%27s_law\n", + "\n", + "def draw_zipfs_plot(\n", + " texts,\n", + " low_outlier_percentile_bound=1,\n", + " upper_outlier_percentile_bound=99,\n", + " ax=None):\n", + "\n", + " counter = Counter(' '.join(texts).split())\n", + " \n", + " if ax is None:\n", + " fig, ax = plt.subplots(1, 1, figsize=FIGSIZE)\n", + " else:\n", + " fig = None\n", + " \n", + " frequencies = [freq for word, freq in counter.most_common()]\n", + " low_outlier_bound = np.percentile(frequencies, low_outlier_percentile_bound)\n", + " upper_outlier_bound = np.percentile(frequencies, upper_outlier_percentile_bound)\n", + " frequencies = [freq for freq in frequencies if freq > low_outlier_bound and freq <= upper_outlier_bound]\n", + " \n", + " ranks = range(1, len(frequencies) + 1)\n", + " \n", + " ax.plot(ranks, frequencies, lw=LINEWIDTH, color=COLOR)\n", + " \n", + " ax.set_xlabel('Rank', labelpad=LABELPAD)\n", + " ax.set_ylabel('Frequency', labelpad=LABELPAD)\n", + " ax.set_title('Zipf\\'s law')\n", + " \n", + " if fig is not None:\n", + " plt.show()\n", + "\n", + " return ax\n", + "\n", + "\n", + "# https://en.wikipedia.org/wiki/Heaps%27_law\n", + "\n", + "def draw_heaps_plot(\n", + " texts,\n", + " in_symbols=True,\n", + " ax=None):\n", + "\n", + " if in_symbols is True:\n", + " lengths = [len(t) for t in texts]\n", + " length_units = 'symbols'\n", + " else:\n", + " lengths = [len(t.split()) for t in texts]\n", + " length_units = 'words'\n", + "\n", + " num_uniques = [len(set(t.split())) for t in texts]\n", + " \n", + " if ax is None:\n", + " fig, ax = plt.subplots(1, 1, figsize=FIGSIZE)\n", + " else:\n", + " fig = None\n", + " \n", + " ax.scatter(lengths, num_uniques, s=4 * LINEWIDTH ** 2, color=COLOR)\n", + " \n", + " ax.set_xlabel(f'Document length ({length_units})', labelpad=LABELPAD)\n", + " ax.set_ylabel('Number of unique tokens', labelpad=LABELPAD)\n", + " ax.set_title('Heaps\\' law')\n", + " \n", + " if fig is not None:\n", + " plt.show()\n", + "\n", + " return ax\n", + "\n", + "\n", + "def draw_document_lengths_histogram(\n", + " texts,\n", + " in_symbols=False,\n", + " low_outlier_percentile_bound=1,\n", + " upper_outlier_percentile_bound=99,\n", + " bins=200,\n", + " ax=None):\n", + "\n", + " if in_symbols is True:\n", + " lengths = [len(t) for t in texts]\n", + " length_units = 'symbols'\n", + " else:\n", + " lengths = [len(t.split()) for t in texts]\n", + " length_units = 'words'\n", + "\n", + " low_outlier_bound = np.percentile(lengths, low_outlier_percentile_bound)\n", + " upper_outlier_bound = np.percentile(lengths, upper_outlier_percentile_bound)\n", + " lengths = [l for l in lengths if l > low_outlier_bound and l <= upper_outlier_bound]\n", + " \n", + " if ax is None:\n", + " fig, ax = plt.subplots(1, 1, figsize=FIGSIZE)\n", + " else:\n", + " fig = None\n", + " \n", + " ax.hist(lengths, bins=bins, color=COLOR)\n", + " \n", + " ax.set_xlabel(f'Document length ({length_units})', labelpad=LABELPAD)\n", + " ax.set_ylabel('Number of documents', labelpad=LABELPAD)\n", + " ax.set_title('Document lengths distribution')\n", + " \n", + " if fig is not None:\n", + " plt.show()\n", + "\n", + " return ax" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Analyzing train dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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/cBUwBDyCakh9dYPmP1V8avvfBDw9M/+pZt9m4D7ATGZ+rcF5vlhsH1CzbwDYBHwpM+eb7CNJkiRJasGaCKrAS4AtNd/fDzwjM2+v2TcH/E+qEyl9qdg3SHXipV3AByPiRzJztjh2VbE9s8Q1F/ffpWbfxfSRJEmSJLVgTTz6m5n3zMwA7gk8Gbg/8JmIeEhNm3/JzN/OzE9n5reKz0eAxwKfBHYAz+lE/bUiYjQiJiJi4vbbb1+5gyRJkiRtMGsiqC7KzNOZ+W6q4fNq4G1N9JkHDhdfH1lzaHH08yoaW9z/rUvsU1/PmzNzKDOHrrnmmqWaSZIkSdKGtaaC6qLMPAV8FnhQRNy9iS6LQ5eba84xC3wV6I+IezXoszij8Bdq9k0BC8D9I6LRY9ON+kiSJEmSWrAmg2rh3sV2oYm2Dyu2X6rb/6Fi+7gGfYbr2iwul3Mz0Af8eDN9JEmSJEmt6dqgGhEPiIgLHrGNiJ6IeBVwD+DmxfVPI+IhEXHB74mIxwD7iq9H6w6/qdj+ZkTctabPduD5wL8Bf1bX543F9pXFcjWLfXYCT6U6evsXzfxGSZIkSdKFunnW358Gfj8iPgZ8GfhXqjP//gTVyZS+DvxSTfs/BK6NiJuB6WLfID9Y0/RlmXlz7QUy8+aI+EPgV4HJiBgD7kQ1cN4NeGFm3lZX1zuoTug0QnVCp/dQfV/2qVSXrvmlzPz2Jf52SZIkSdqwujmo/jXVmXofAfwo1SVfZqm+/3kEeH1m3lHT/gjws8BOqo/gloDTwLuAQ5n50UYXycz9EfF3VEdQR4FzwKeB12bmexu0z4h4GtVHgJ8FvBD4LvAR4JX1YViSJEmS1JrIzE7XsGENDQ3lxMREp8uQJEmSpI6IiFsyc6h+f9e+oypJkiRJ2pgMqpIkSZKkrmJQlSRJkiR1FYOqJEmSJKmrGFQlSZIkSV3FoCpJkiRJ6ioGVUmSJElSVzGoSpIkSZK6ikFVkiRJktRVDKqSJEmSpK5iUJUkSZIkdRWDqiRJkiSpqxhUJUmSJEldxaAqSZIkSeoqBlVJkiSpy8xOTXHr3r0cK5e5saeHY+Uyt+7dy+zUVKdLk1aFQVWSJEnqIqfHxzk+OMipw4eZP3sWMpk/e5ZThw9zfHCQ0+PjnS5RuuwMqpIkSVKXmJ2a4sTICAtzc2Slct6xrFRYmJvjxMiII6ta9wyqkiRJUpc4eeAA5+oCar1zlQonDx5cpYqkzjCoSpIkSV1i+ujRC0ZS62WlwvSRI6tUkdQZBlVJkiSpS8zPzLS1nbRWGVQlSZKkLtHb39/WdtJaZVCVJEmSusTW3buJUmnZNlEqsXXPnlWqSOoMg6okSZLUJXbs30/PCkG1p1Rix759q1SR1BkGVUmSJKlLbB4YYOfYGJv6+i4YWY1SiU19fewcG2PzwECHKpRWh0FVkiRJ6iJbhofZNTnJttFRestl6Omht1xm2+gouyYn2TI83OkSdZFmp6a4de9ejpXL3NjTw7FymVv37nVd3AYiMztdw4Y1NDSUExMTnS5DkiRJ0mV2enycEyMjnKtUzluCKEolekoldo6NbcibEBFxS2YO1e93RFWSJEmSLqPZqSlOjIywMDd3wTq5WamwMDfHiZERR1ZrGFQlSZIk6TI6eeAA5+oCar1zlQonDx5cpYq6n0FVkiRJki6j6aNHLxhJrZeVCtNHjqxSRd3PoCpJkiRJl9H8zExb220EBlVJkiRJuox6+/vb2m4jMKhKkiRJ0mW0dffuC9bFrRelElv37FmlirqfQVWSJEmSLqMd+/fTs0JQ7SmV2LFv3ypV1P0MqpIkSZJ0GW0eGGDn2Bib+vouGFmNUolNfX3sHBtj88BAhyrsPgZVSZIkSbrMtgwPs2tykm2jo/SWy9DTQ2+5zLbRUXZNTrJleLjTJXaVyMxO17BhDQ0N5cTERKfLkCRJktSi2akpTh44wPTRo8zPzNDb38/W3bvZsX+/I6MtiIhbMnOofr8jqpIkSZLUgtPj4xwfHOTU4cPMnz0LmcyfPcupw4c5PjjI6fHxTpe45hlUJUmSJKlJs1NTnBgZYWFujqxUzjuWlQoLc3OcGBlhdmqqQxWuDwZVSZIkSWrSyQMHOFcXUOudq1Q4efDgKlW0PhlUJUmSJKlJ00ePXjCSWi8rFaaPHFmlitYng6okSZIkNWl+Zqat7dSYQVWSJEmSmtTb39/WdmrMoCpJkiRJTdq6ezdRKi3bJkoltu7Zs0oVrU8GVUmSJElq0o79++lZIaj2lErs2LdvlSpanwyqkiRJktSkzQMD7BwbY1Nf3wUjq1Eqsamvj51jY2weGOhQheuDQVWSJEmSWrBleJhdk5NsGx2lt1yGnh56y2W2jY6ya3KSLcPDnS5xzYvM7HQNG9bQ0FBOTEx0ugxJkiRJ6oiIuCUzh+r3O6IqSZIkSeoqBlVJkiRJUlcxqEqSJEmSuopBVZIkSZLUVQyqkiRJkqSu0tVBNSJeExEfjIivRMR3IuKOiPhMRLw8Iq5eos/1EfG+ou13ImIyIl4cEZuWuc4TIuKmiDgTETMR8cmIePoKtT09Ij5VtD9T9H/Cpf5mSZIkSdroujqoAvuAzcAHgD8G/hyYB34HmIyI+9Y2jognAR8BHgm8GzgE3Ak4CLyj0QUi4gXAe4AHA0eB/w3cG7ghIl63RJ/XATcA9yraHwV+GHhPcT5JkiRJ0kXq6nVUI+LKzPxug/2vAl4KvDEz9xb7ysBJ4Crg4Zk5sXgO4EPAjwFPy8x31JxnO/A5YBZ4aGbeVuy/K3ACGACuz8xP1PS5Hvg4MAXszMxv1pzrFqrB+oGL51qO66hKkiRJ2sjW5DqqjUJq4V3F9tqafSPANcA7FkNqzTl+q/j6y3XneRZwBXCoNlgW4fP3iq/Pq+uz+P1ViyG16HMb8IbifM9c8kdJkiRJkpbV1UF1GT9TbCdr9j262L6/QfuPAHPA9RFxRZN9xuvaXEofSZK0Qc1OTXHr3r0cK5e5saeHY+Uyt+7dy+zUVKdLk6Su1dvpApoRES8B+qk+1jsEPIJqSH11TbN/X2y/UN8/M+cj4svAg4D7A//YRJ+vRcQssDUi+jJzLiI2A/cBZjLzaw1K/WKxfUArv0+SJK1Pp8fHOTEywrlKhaxUAJg/e5ZThw/zlbe+lZ1jY2wZHu5wlZLUfdZEUAVeAmyp+f5+4BmZeXvNvquK7ZklzrG4/y4t9tlctJu7yGucJyJGgVGAH/qhH1qqmSRJWuNmp6Y4MTLCwtzcBceyUmGhUuHEyAi7JifZPDDQgQolqXutiUd/M/OemRnAPYEnUx0V/UxEPKSzlbUuM9+cmUOZOXTNNdd0uhxJknSZnDxwgHPFKOpSzlUqnDx4cJUqkqS1Y00E1UWZeToz3w08FrgaeFvN4cXRzKsu6Hj+/m9dRJ8zddtWriFJkjag6aNHv/+471KyUmH6yJFVqkiS1o41FVQXZeYp4LPAgyLi7sXuzxfbC94PjYhe4H5U12D9Us2h5frci+pjv9OZOVdcdxb4KtBfHK+3OAvxBe+8SpKkjWV+Zqat7aS1xonEdCnWZFAt3LvYLhTbDxXbxzVo+0igD7g5M/+tZv9yfYbr2lxKH0mStMH09ve3tZ20lpweH+f44CCnDh9m/uxZyPz+RGLHBwc5PT6+8km0oXVtUI2IB0TEBY/YRkRPRLwKuAfV4Lm4lukY8A3g5yNiqKb9lcAri69vrDvdnwH/BrwgIrbX9Lkr8NLi65vq+ix+/82i3WKf7cDzi/P9WVM/UpIkrVtbd+8mSqVl20SpxNY9e1apIml11E4kVv/4e1YqLMzNcWJkxJFVLatrgyrw08DXI+IDEfHmiPj9iHgL1SVgXgp8HfilxcaZ+e3i+ybgpog4HBF/APwt8GNUg+w7ay+QmV8Gfg24GzAREW+IiINUl74ZAA5k5ifq+twM/GFxfDIiDkbEG4CJ4jwvyczb2vxnIUmS1pgd+/fTs0JQ7SmV2LFv3ypVJK0OJxJTO0RmdrqGhiLiwcDzqK6ZupXqki+zVN//PAa8PjPvaNDv4cBvUg2nVwIngbcU7Rfq2xd9fobqEjgPoRrePwscysy3LlPfM6iOoP5H4BzwaeC1mfneZn/j0NBQTkxMNNtckiStMY3WUYXqSGpPqeQ6qlqXjpXL1cd9V9BbLvP4M0ut+qiNIiJuycyhC/Z3a1DdCAyqkiStf7NTU5w8eJDpI0eYn5mht7+frXv2sGPfPtdP1bp0Y08PNJMxenp40kLDcSRtIEsF1d5OFCNJkrRRbB4Y4LpDh7ju0KFOlyKtit7+/uZGVJ1ITMvo5ndUJUmSJK0xTiSmdjCoSpIkSWobJxJTOxhUJUmSJLXN5oEBdo6Nsamv74KR1SiV2NTXx86xMd/R1rIMqpIkSZLaasvwMLsmJ9k2OkpvuQw9PfSWy2wbHWXX5KSzXWtFzvrbQc76K0mSOmF2aoqTBw4wffToD2Yi3r2bHfv3O8olaVUtNeuvI6qSJEkbyOnxcY4PDnLq8OHqzKyZzJ89y6nDhzk+OMjp8fFOlyhJBlVJkqSNYnZqihMjIyzMzZGVynnHslJhYW6OEyMjzE5NdahCSaoyqEqSJG0QJw8c4FxdQK13rlLh5MGDq1SRJDVmUJUkSdogpo8evWAktV5WKkwfObJKFUlSYwZVSZKkDWJ+Zqat7TppdmqKW/fu5Vi5zI09PRwrl7l1714fW5bWCYOqJEnSBtHb39/Wdp3ihFDS+mdQlSRJ2iC27t5NlErLtolSia179qxSRa1zQihpYzCoSpIkbRA79u+nZ4Wg2lMqsWPfvlWqqHVOCCVtDAZVSZKkDWLzwAA7x8bY1Nd3wchqlEps6utj59gYmwcGOlThypwQStoYDKqSJEkbyJbhYXZNTrJtdJTechl6eugtl9k2OsquyUm2DA93usRlracJoSQtrbfTBUiSJGl1bR4Y4LpDh7ju0KFOl9Ky3v7+6gRKTbSTtHZd8ohqRDwwIvZFxHMj4qp2FCVJkiQ1sh4mhJK0sqaDakT8dkR8LSLuVrPvJ4HPAK8D/hfw6Yi4uv1lSpIkSetjQihJK2tlRHUY+Fxm3lGz7/eBBF4OvBG4H/Ar7StPkiRp7ZudmuLWvXs5Vi5zY08Px8plbt271yVULsJ6mBBK0spaCarbgX9c/BIR9wEeCvyvzHxlZr4A+BDwX9paoSRJ0hp2enyc44ODnDp8uPpuZSbzZ89y6vBhjg8Ocnp8vNMlrjlrfUIoSStrZTKluwK1o6kPpzqa+t6afbcAz21DXZIkSWve7NQUJ0ZGWJibu+BYViosVCqcGBlh1+SkI4AtWssTQklaWSsjqrcD96n5vguoAJ+s2XenFs8pSZK0bp08cIBzK6z5ea5S4eTBg6tUkdYjHy3XetRKqPxb4IkR8eCI2AE8FfhYZn6nps124GttrE+SJGnNmj56lFwhqGalwvSRI6tUkdYbHy3XetVKUP0D4CrgVuDzxT8fWDwYEZuoPg480c4CJUmS1qr5mZlLbudomZZS+2h5/Q2RrFRYmJvjxMiI/65oTWo6qGbmR4EnAH8JvBsYyczaWzTXA18tjkmSJG14vf39l9TO0bLOWQs3CHy0XOtZZGana9iwhoaGcmLCAWhJktarW/fu5dThw8s+/hulEttGRy+YFGh2aorjg4MNJ2JatKmvz4mYLoPT4+OcGBnhXKVy3v92USrRUyqxc2ysK2YWPlYuV29grKC3XObxZ86sQkVS6yLilswcqt/vxEeSJEmXyY79++mpW+uzXk+pxI59+y7Y72hZZ6ylx2nb8Wi51K1aDqoRcY+I+OmI+IWI+MVGn8tRqCRJ0lqzeWCAnWNjbOrrI+oCa5RKbOrrY+fYWMMRUSdiunyWe6x3Ld0guNRHy6Vu1vSjvxFRAt4E/CJLB9wAMjM3tae89c1HfyVJ2hhmp6Y4efAg00eOMD8zQ29/P1v37GHHvn1LPrZ7Y08PNPP3tJ4enrSw0OaK16+VHuvNTM595zvLnKGqGx6nvZRHy6VusdSjv60E1VcDvw5MAX8OfAWYb9Q2M9968aVuHAZVSZK0FN8/bL9m3vttWhfcIPA9Zq0HSwXV3hbO8d+AL5qDod4AACAASURBVAA/Wrd2qiRJktps6+7dTY2Wbd2zZxWrWtuaeay3Wd3wOO3io+UrTfxkSNVa1Mo7qvcA3mdIlSRJuvwuZSImNdbMe7/N6KYbBFuGh9k1Ocm20VF6y2Xo6aG3XGbb6Ci7Jie7YnZi6WK08ujvF4CPZOZzLm9JG4eP/kqSpOWslWVS1oqm3/tdgY/TSu3TjuVpbgCGI+KqtlUlSZKkJTla1l7NPq67qa/vomZqltQ+rQTVVwMfA/46InZFRPky1SRJkqTC5oEBrjt0iMefOcOTFhZ4/JkzXHfo0GULSsst3bLWbd29+4LwWS9KJe77zGd6g0DqsFYe/V2c1iyA5TplZrYySdOG5aO/kiSpm6z3R42dJVfqPu2Y9fejLB9QJUmStEbNTk1xYmSkYYjLSoWFSoUTIyNrOsQ5S660djQdVDPzUZexDkmSJHVQM0u3nKtUOHnwINcdOrRKVbXf4nu/Jw8eZPrIEeZnZujt72frnj3s2LfPkCp1iaYf/VX7+eivJEnqFsfKZebPnl2xXW+5zOPPnFmFiiRtBO149Lf2ZJuBBwD9mfnRSy1OkiRJnTU/M9PWdpJ0KVqZ9ZeI2BoRfwF8E5gAjtcce0REfDYiHtXeEiVJktanbppht9mlW5ptJ0mXoumgGhH3Aj4JPAl4L/AJqjMAL/okcA/gqe0sUJIkaT06PT7O8cFBTh0+XH3kNpP5s2c5dfgwxwcHOT0+vqr1NLt0y9Y9e1apIkkbWSsjqi+nGkR/KjOfDHyg9mBmVqjODPzw9pUnSZK0/tTOsJt1ExhlpcLC3BwnRkZWdWR1x/799KwQVHtKJXbs27dKFUnayFoJqj8N/L+ZeXyZNv8E3PvSSpIkSVrfWplhd7UsLt2yqa/vgpHVKJXY1Nfn0i2SVk0rQXUL8MUV2lSAzRdfjiRJ0vo3ffToBSOp9bJSYfrIkVWqqGpx6ZZto6P0lsvQ00Nvucy20VF2TU6yZXh4VeuRtHG1MuvvHcB9V2jzAODrF1+OJEnS+tfNM+xuHhjgukOH1vRaqZLWvlZGVD8OPDEi7tnoYERcCzyOmpmAJUmSdCFn2JWk5bUSVF8LXAl8OCKGgT6orqlafH8PcA440PYqJUmS1hFn2JWk5TUdVDPzk8Bzge1Ul6d5SXHo28X3+wHPzsx/aHONkiRJ64oz7ErS8loZUSUz3wI8GHg98ClgCvg08L+Awcz887ZXKEmStM44w64kLa+loAqQmV/MzH2Z+WOZ+YDM3JmZL8zMz7ezsIi4OiKeExHvjoiTEfGdiDgTER+LiGdHRE9d++0Rkct83rHMtZ4eEZ+KiJniGjdFxBOWab8pIvZFxGRR1x0R8b6IuL6dfwaSJGn9coZdSVpaZGZzDSMGM3OyiXbPzsw/veTCIp4HvBH4GtUJmv6J6hI5TwauAv4C+LksfkBEbAe+DNwK/GWDU/59Zo41uM7rgP3ANDAG3An4eeBuwAsz81Bd+wDeBYwAn6f6bu7dgKdSfYf3KZl5YzO/cWhoKCcmJpppKkmSJEnrTkTckplDF+xvIahOAw/LzOll2uwB3pKZy7900dz1Hk11TdZjmXmuZv89qT52fF9gJDP/oti/nWpQfWtmPqPJa1xPdTbjKWBnZn6z5ly3FNd/YGbeVtPnacDbgZuBx2Tmd4v9O4GPAWeAgcw8u9L1DaqSJEmSNrKlgmorj/7+O+D9EXGXJS7wc8BbgC9eXInny8wPZeZ7akNqsf/rwJuKr4+6xMs8r9i+ajGkFte4DXgDcAXwzLo+v1xsf2sxpBZ9TgDvBK6hOtoqSZIkSboIrQTVnwV2AH8ZEXeqPRARTwL+HLgNeEzbqltapdjONzh274h4bkS8tNgOLnOeRxfb9zc4Nl7Xhoi4ErgemAM+2kwfSZIkSVJrepttmJkfiohnA28DjgL/FaBYQ/WdwD8Dj87Mr12OQhdFRC/wi8XXRgHzp4pPbZ+bgKdn5j/V7NsM3AeYWaLmxZHhB9TsGwA2AV/KzEYhuVEfSZIkSVILWl2e5s+BlwIjEXEwIh5DdVKjb1ANqV+5DDXWezXVJXLel5l/VbN/DvifwEOBuxafn6A6EdOjgA8W4XTRVcX2zBLXWdxf+6jzxfSRJEmSJLXgYpaneQ3VdVN/BXgfcBb4ycz8Uptru0BEvIjqDL2fA/bU1fUvmfnbmfnpzPxW8fkI8Fjgk1QfW37O5a5xJRExGhETETFx++23d7ocSZIkSeo6LQfVwgupLgHzbaoz336ufSU1FhEvAP4Y+CywKzPvaKZf8Yju4eLrI2sOLY5+XkVji/u/dYl96ut5c2YOZebQNddcs1QzSZIkSdqwlnxHNSLOAc2sXXNrdWnR78vMbPrd12ZExIuBg8DfUw3G/9LiKRaHLr//6G9mzkbEV4H7RMS9Grynem2x/ULNvilgAbh/RPQ2eE+1UR9JkiRJUguWC5QfobmgellFxH+n+l7q3wI/lZnfuIjTPKzY1j+e/CGqjxA/DvizumPDNW0AyMzvRsTNwI8Xn+Mr9ZEkSZIktSYyO55FlxQRLwNeAdwCPHa5x30j4iHA39avu1pM+HSM6pqoD8/Mm2uOXQ98nOpI6c7FtVQjYntxzc3AA4t1VRf7PA14O3Az1dHd7xb7dwIfo/p48I7M/PZKv29oaCgnJiZWaiZJkqQuNzs1xckDB5g+epT5mRl6+/vZuns3O/bvZ/PAQKfLk7pWRNySmUMX7O/WoBoRTwduoPqo7Z/QeKbd2zLzhqL9TVQfvb0ZmC6OD/KDNU1flpmvbHCdA8CvFn3GgDsBTwWuBl6YmYfq2gfwLmCE6qRO7ynaPhW4EnhKZt7YzG80qEqS1DkGC7XL6fFxToyMcK5SISuV7++PUomeUomdY2NsGR5e5gzSxtXWoBoRJeCBVJdhOQP8Y2ZWlu/V8jV+B3j5Cs0+nJmPKto/G/hZqkvX3B0oAaeBTwCHMvOjy1zrGcDzgf8InAM+Dbw2M9+7RPteqhNKPYvqbMLfLa7zytoR25UYVCVJ6gyDhdpldmqK44ODLMzNLdlmU18fuyYnvQEiNdCWoBoRZeAPqL7XeWXNoe8CR4D/kZlLznir8xlUJUlafQYLtdOte/dy6vDh82541ItSiW2jo1x36NCSbaSNaqmg2vTyNEVI/TgwCswDH6X6COxHgUqx/2NFO0mSpK508sABzi0TKgDOVSqcPHhwlSrSWjZ99OiyIRUgKxWmjxxZpYqk9aGVdVR/A3gQ8EZgW2Y+KjOfVjx6uw14A9VHZ3+j7VVKkiS1icFC7TQ/M9PWdpKqWgmqTwb+JjOfX/94b2aeycwXUn1P8yntLFCSJKmdDBZqp97+/ra2k1TVSlDdBty0QpsPA/e96GokSZIuM4OF2mnr7t1EqbRsmyiV2LpnzypVJK0PrQTVWeAeK7S5Blh6ZgJJkqQOM1ionXbs30/PCv8+9ZRK7Ni3b5UqktaHVoLqCeDnIuLaRgcjYgD4r0U7SZKkrmSwUDttHhhg59gYm/r6LrgBEqUSm/r62Dk25gzSUotaCaqvBfqBExHxPyPi0RHxHyJiV0T8LtWA2g+87nIUKkmS1A4GC7XbluFhdk1Osm10lN5yGXp66C2X2TY6yq7JSdfklS5Cq+uoPhf4Y6D+NmRQXaLmxZn5xvaVt765jqokSZ0zOzXFyYMHmT5yhPmZGXr7+9m6Zw879u0zpErSKllqHdWWgmpxoh8C9gA/ClwFnAE+AxzNzFNtqHXDMKhKkpo1OzXFyQMHmD569Aehavduduzfb6iSJK1ZbQuqah+DqiSpGafHxzkxMsK5SuW89T+jVKKnVGLn2JiPFm4g3rSQtJ4sFVSbfkc1It4SEU9coc0TIuItF1OgJEm60OzUFCdGRliYmzsvpAJkpcLC3BwnRkaYnZrqUIVaTafHxzk+OMipw4eZP3sWMpk/e5ZThw9zfHCQ0+PjnS5RktqilcmUngH8yAptrgOeftHVSJKk85w8cIBzdQG13rlKhZMHD65SReoUb1pI2khaCarNuAJYaPM5JUnasKaPHr0glNTLSoXpI0dWqSJ1ijctJG0krQbVJV9ojYgrgEcCX7+kiiRJ0vfNz8y0tZ3WLm9aSNpIepc7GBFfqtu1LyKe2aDpJuAaqiOqb2pTbZIkbXi9/f3VdxGbaKf1zZsWkjaSlUZUe6iukRpUR1NjiU8F+DvgNcCvXa5iJUnaaLbu3k2U6pcvP1+USmzds2eVKlKnNHszwpsWktaDZYNqZm7PzPtl5v2oBtKDi9/rPjsy8z9n5kszc251Spckaf3bsX8/PSsE1Z5SiR379q1SReoUb1pI2khaeUd1F/DWy1WIJEm60OaBAXaOjbGpr++CkBKlEpv6+tg5Nub6mRuANy0kbSRNB9XM/HBmnrqcxUiSpAttGR5m1+Qk20ZH6S2XoaeH3nKZbaOj7JqcZMvwcKdL1CrwpkVrZqemuHXvXo6Vy9zY08Oxcplb9+51+R5pjYjMJSfy1WU2NDSUExMTnS5DkiStIbNTU5w8eJDpI0eYn5mht7+frXv2sGPfPkNq4fT4OCdGRjhXqZw3U3KUSvSUSuwcG/MGj9QlIuKWzBy6YL9BtXMMqpIkSe01OzXF8cFBFuaWnjZlU18fuyYnDfZSF1gqqLa6jqokSZLUtU4eOMC5FdabPVepcPLgwVWqSNLFMKhKkiRp3Zg+evS8x30byUqF6SNHVqkiSRfDoCpJkqR1Y35mpq3tJHWGQVWSJEnrRm9/f1vbSeqMloNqRAxGxKsj4saI+Oua/dsj4r9GxF3bW6IkSZLUnK27d1+wfE+9KJXYumfPKlUk6WK0FFQj4hXAp4FfB34G2FV3rv8L2N226iRJkqQW7Ni/n54VgmpPqcSOfftWqSJJF6PpoBoRPw/8FvAB4EeA3689nplfAiaAJ7azQEmSJKlZmwcG2Dk2xqa+vgtGVqNUYlNfHzvHxtq+NM3s1BS37t3LsXKZG3t6OFYuc+vevcxOTbX1OtJG0cqI6ouAk8CTMnMS+F6DNv8IXNuOwiRJkqSLsWV4mF2Tk2wbHaW3XIaeHnrLZbaNjrJrcpItw8Ntvd7p8XGODw5y6vBh5s+ehUzmz57l1OHDHB8c5PT4eFuvJ20EvS20/WHghsxsFFAX/TOw5dJKkiRJki7N5oEBrjt0iOsOHbqs15mdmuLEyAgLc3MXHMtKhYVKhRMjI+yanGz7KK60nrUyohrAuRXabAG+e/HlSJIkSWvHyQMHOLfCuq3nKhVOHjy4ShVJ60MrQfWLwPVLHYyIHuARwD9calGSJEnSWjB99Ci5QlDNSoXpI0dWqSJpfWglqL4LeEhE7F/i+EuBHcDbL7kqSZIkaQ2Yn5lpaztJVa0E1T8CbgX+ICI+CQwDRMTriu+/C/wN8Oa2VylJkjY0Z1RVt+rt729rO0lVTQfVzPwO1XVTjwAPAf4T1fdWfxV4KHAUeFxmzl+GOiVJ0gbljKrqZlt3775gGZx6USqxdc+eVapIWh8iM1vvFHE3YCdwNXAG+FRm3t7m2ta9oaGhnJiY6HQZkiR1rdmpKY4PDjacUXXRpr4+Z1RVx/jvqHRpIuKWzByq39/Ko7/fl5l3ZOZfZebbM/OYIVWSJF0Ozqiqbrd5YICdY2Ns6uu7YGQ1SiU29fWxc2zMkCq16KKCqiRJ0nLa9U6pM6pqLdgyPMyuyUm2jY7SWy5DTw+95TLbRkfZNTnJluHhTpcorTlNP/obEW9p8pyZmc+++JI2Dh/9lSStR6fHxzkxMsK5SuW8kBmlEj2lEjvHxpr+i/uNPT3QzN9Venp40sLCxZYsSeqQpR797W3hHM9Y4XhSnVwpAYOqJEkb0OzUFCdGRhq+r5eVCguVCidGRpp+X6+3v786gVIT7SRJ60crj/7eb4nPjwKjwDTwTuD+ba5RkiStEe1+p9QZVSVpY7qoWX8bnijivsAk8JLM/NO2nHSd89FfSdJ6c6xcbm4EtFzm8WfOrNjOGVUlaX1r66y/jWTmV4D3AL/SrnNKkqS1ZX5mpq3tnFFVkjamds/6exq4ts3nlCRJa0Sz74q28k6pM6pK0sbTymRKy4qITcCjgZWf45EkSevS1t27OXX48LJLylzMO6WbBwa47tAhrjt06FJLlCStAU0H1Yh45DLnuC/wTOBHgMNtqEuSJK1BO/bv5ytvfSsLywTVnlKJHfv2rWJVkqS1ppUR1ZuoLj2zlAA+AvzapRQkSZLWrsV3SldaR9V3SiVJy2klqL6CxkH1HPBN4FOZ+am2VCVJWlWzU1OcPHCA6aNHmZ+Zobe/n627d7Nj/34DhVq2+E7pyYMHmT5y5Af/Tu3Zw459+/x3SpK0orYtT6PWuTyNpG5wenx8xdEvJ6vRWuPNF0laG5Zansag2kEGVUmd5hqVWo+8+SJJa8dlX0dVkrT2nDxwgHPLTHoDcK5S4eTBg6tUkXRpZqemODEywsLc3AUzD2elwsLcHCdGRpidmupQhZKkZjQdVCPiSxf58b8EktSlpo8eXXYZEaj+5X76yJFVqki6NN58kaT1oZUR1R7gCmB78bkvcOdiu7jvCqqz/9Z+LmrUNiKujojnRMS7I+JkRHwnIs5ExMci4tkR0fC8EXF9RLwvIu4o+kxGxIuLdV6XutYTIuKm4vwzEfHJiHj6CvU9PSI+VbQ/U/R/wsX8VknqlPmZmba2kzrNmy+StD60EiIHga8CfwPsAq7MzHsBVwKPBj4JTAODmXm/2s9F1vZzwP8G/nNx7j8C/gJ4MNW1Wt8VEVHbISKeRHWJnEcC7wYOAXcCDgLvaHSRiHgB8J7ivEeLa94buCEiXrdEn9cBNwD3KtofBX4YeE9xPklaE3r7+9vaTuo0b75I0vrQSlB9FXAX4FGZ+eHMXADIzIXMvIlqeL1b0a4dvgA8Ediamb+Qmb+Rmc8CHgh8BXgK8OTFxhFRphoaF4oan52Zvwb8CPAJYCQifr72AhGxHXgdcAcwlJnPz8x9VEP5FLA/In6srs/1wP7i+GBm7svM5wMPLc7zuuK8ktT1tu7eTZRKy7aJUomte/asUkXSpfHmiyStD60E1Z8FbszM7zU6mJnfBW6kJjxeisz8UGa+JzPP1e3/OvCm4uujag6NANcA78jMiZr23wV+q/j6y3WXeRbVx5UPZeZtNX2+Cfxe8fV5dX0Wv7+qaLfY5zbgDcX5nrnyL5Skztuxfz89KwTVnlKJHfv2rVJF0qXx5oskrQ+tBNWrgeX/n796/OqLL6dpiy+fzNfse3SxfX+D9h8B5oDrI+KKJvuM17W5lD6S1JU2Dwywc2yMTX19F/zlPkolNvX1sXNszKVptGZ480WS1odWguoU1cdnr2p0MCLuSnVU80vtKGwpEdEL/GLxtTYs/vti+4X6Ppk5D3wZ6AXu32SfrwGzwNaI6CuuvRm4DzBTHK/3xWL7gKZ+jCR1gS3Dw+yanGTb6Ci95TL09NBbLrNtdJRdk5OuN6k1xZsvkrQ+tBJU30R1kqFPRcQvRsT2iLhzsX061QmP7kn18dfL6dVUJz56X2b+Vc3+xQB9Zol+i/vvchF9rqrbtnKN80TEaERMRMTE7bffvlQzSVpVmwcGuO7QIR5/5gxPWljg8WfOcN2hQ/5lXmuSN18kae2LzGy+ccQfAy8EGnUK4E8y81faVFuj678I+GPgc8DDM/OOmmNfAK4Frs3Mkw36fhy4Hrg+Mz9R7Pse1ceVS8Woa32fr1IN5/fOzK9FxL2pznz81czc2qB9Cfge8L3MvKL+eL2hoaGcmJhYqZkkSZIkrUsRcUtmDtXv723lJJn5KxHxDqqTEP0o1RHGM8CngRsy8+Z2FNtIsezLHwOfBR5TG1IL9aOf9Rb3f6uuz92LY/+6TJ8zddtWriFJkiRJakFLQRWgGI38xGWoZUkR8WKqa6H+PdWQ+i8Nmn0eGKL6fugtdf17gftRnXzpS3V97l70+URdn3sBm4HpzJwDyMzZYpT1PhFxrwbvqV5bbC9451WSJEmS1JxW3lHtiIj471RD6t8Cu5YIqQAfKraPa3DskUAfcHNm/luTfYbr2lxKH0mSJElSk5Z8RzUifqj4x69m5kLN9xVl5j+1pbiIlwGvoDpC+tgGj/vWti1TnZm4TPX91Yli/5VUg+OPAU/LzHfU9Lkf8I9UZ/d96OJaqsUMxieAAWreaS2OXQ98vLjWzsW1VCNie1HnZuCBteuyLsV3VCVJkiRtZBfzjuptVCdN+g9UH2Vd/L6SXOG8TSlmEn4FsAB8FHhRRFxQY2beAJCZ346IXwLGgJuKd2nvAJ5IdRmaMeCd5xWa+eWI+DXg9cBERLyT6mRII8BW4EBtSC363BwRfwj8KjAZEWPAnYCnAncDXthMSJUkSZIkNbZcoHwb1dB5pu77arlfsd0EvHiJNh8Gblj8kpl/GRE/Afwm8BTgSuAk1VD5+mwwfJyZfxIRtwEvobo+aw/VCZt+KzPf2uiimbk/Iv4OeD4wCpyjOqHUazPzva39TEmS2md2aoqTBw4wffQo8zMz9Pb3s3X3bnbs3+9yQ5KkNaOl5WnUXj76K0lqp9Pj45wYGeFcpUJWKt/fH6USPaUSO8fGXENUaiNvDEmXbqlHfw2qHWRQlSS1y+zUFMcHB1mYm1uyzaa+PnZNTvoXaKkNvDEktcdSQbXrZ/2VJEkrO3ngAOdq/rLcyLlKhZMHD65SRdL6NTs1xYmRERbm5s4LqQBZqbAwN8eJkRFmp6Y6VKG09rUUVCPibhHxkoh4V0R8ICI+1ODzwctVrCRJamz66NEL/sJcLysVpo8cWaWKpPXLG0PS5df07LwR8UDgJuAa4ILpd2v4LLEkSatsfmamre0kLa2VG0PXHTq0SlVJ60srI6qvA+4BvAa4P1DKzJ4Gn02XpVJJkrSk3v7+traTtDRvDEmXXytB9ceBY5n50sy8LTMXLldRkiSpNVt37yZKpWXbRKnE1j17Vqkiaf3yxpB0+bUSVIPq+qKSJKnL7Ni/n54VgmpPqcSOfftWqSJp/fLGkHT5tRJUb/n/2bv/+Dbv8t7/70s/mtZxVTroWsDMAbtpeyhOz06ylu77hSZwgCwJYcODbjgUWnCLoduM2c5hGy3t2Ha21cu2eisLJqWN4bDVfEtIU8Nok9KOQkmAxi3ryKwuXkxLKBRMbKepLH++f0hObVk/bkm3dEvy6/l46KHm1v3jI6mWfen6fK5L0gWVGggAACjdyrY2rRseVripackf0BaNKtzUpHXDw7SmAXzAF0NA5RUTqN4s6dfM7IoKjQUAAJTh3I0btX50VK3d3YrEYlIopEgsptbubq0fHaWnI+ATvhgCKs+c81ak18zeLWmLpK2S/q9SGdafZdvXOXenXwNsZGvXrnUHDx4MehgAAAAowXQ8rrHt2zWxa5dmp6YUaW5Wy7Ztau/tJUgFPDKzbzvn1i7ZXkSgOqdU65mFrWkyDzZJjsq/3hCoAgAAAFjOcgWqnvuoSnqvj+MBAAAAACArz4Gqc+6OSg4EAAAAAACpuGJKAAAAAABUHIEqAAAAAKCmeJ76a2ZPetzVOecocwYAAAAAKEkxGdWQUlV9M29nS1qVvp1W5DkBLHPT8bgO9fRobyym3aGQ9sZiOtTTo+l4POihAQAAICCeg0rn3Crn3Cuz3M6WtFrSlyXFJV1UqcECaCzHRka0v6ND44ODmj1+XHJOs8ePa3xwUPs7OnRsZCToIQKe8IULAAD+8txHteCJzE6X9Liku5xzH/XlpA2OPqpYzqbjce3v6FByZibnPuGmJq0fHaVpOmrasZERHejs1FwiIZdInNpu0ahC0ajWDQ/r3I0bAxwhAAC1K1cfVd+m6TrnnpP0VUm/5dc5ATSusf5+zS34oz6buURCY9u3V2lEQPGm43Ed6OxUcmZmUZAqSS6RUHJmRgc6O8msAgBQJL/Xk85KOs/ncwJoQEfvvHPJH/aZXCKhiV27qjQioHh84YJawhR0AI3Et0DVzF4i6dclHfXrnAAa07GRESWnpz3tOzs1VeHRoN7U0h/jE0NDfOGCmsCafwCNxvMaVTO7IcdDEUmvkLRV0lmSPuqc+0t/htfYWKOK5cjL2tSFIrGYNk1OVnhUqBe1th50dygkefk9GgppazJZ+QFlMR2Pa6y/XxNDQ5qdmlKkuVktXV1q7+tj/XeDYM0/gHqWa42q5z6qkj5e4PGfS/oEQSqAfLxMlZxn0ahatm2r8IhQLxauB83kEgklEwkd6Oys6h/jkebmVPbKw35ByBbYz2fZjt5xB4WeGkQxU9DXDAxUaVQAUJ5ipv6uz3F7vaQOSS9xzt3o+wgBNBQvUyXnhaJRtff2VnhEqBe1uB60patLFo3m3acSX7h4mf5MoaflgynoABpRMX1Uv5bj9pBz7nHn3GwlBwqgMRSz5nTd8DDT1HBKLf4x3t7Xp1CBQNXvL1y8rkWsxcAeleH1c5U1/wDqid9VfwEgL69TIMPNzUxJxCK1+Mf4yrY2rRseVripaUlm1aJRhZuafP3CpZgsaS0G9qgMr5+rQU1BB4BSEKgCqCqvUyVfcdVVVRoRalG2qa0W8VZWodp/jJ+7caPWj46qtbtbkVhMCoUUicXU2t2t9aOjvn7hUkyWtBYDe1RGUFPQAaCSPFf9hf+o+ovliOqUKCRXZV+ZFaywa9GoWru7G7ZgzN5YzFvxpljs1JRgL/tSWbu+8bkKoJ7lqvpLRhVAVVV7qiTqS76prV7awDR6Aa5isqRk2Rarpf67fuNzFUAjIlAFUHXVnCqJ+uK5fZHZ4n+W+cd4vQQxxaxFDKLQU63yWoCqnvG5CqDRMPU3QEz9BYDFvE5ttWhU4TPO0OzUlCLNzWrZtk3tvb0lBam5phpbNKpQNFpTvUYP9fRofHAwb5GkhdOf6+m5VQrTYgGgthU99dfMnjWzP1jwEvkG3AAAIABJREFU7xvM7HWVGiAAAF6ntrpkUpsmJ7U1fb9mYKDkTGo99RotNktKlo02PQBQr/JN/X2RpNMX/Pvjkq6o5GAAAMtbtdts1FsQU8paxJVtbVozMOBLYF9LvE7Xpk0PANSnfIHqMUkt1RoIAAClFAAqZ31pPQYxZEmLW3NKmx4AqE8516ia2d2S3iLpM5KeViqj+kD6lo9zzv2JXwNsZKxRBdCopuNxjfX3a2Jo6IV1pF1dau/ry5vJK3Y9YblrMHeHQp6qCSsU0tZksvB+qLhi/x8ppqUPbXoAoPpKaU/z+5KelHStUkGqlJr6+3EPNwDAMlVOhdViprb6sb602KnG9VIduJEVO12bNj0AUJ/yVv01s5CkV0p6uVKZ1M9IuqPQSZ1zX/NneI2NjCqARuNXhdXpeFxj27drYteunJV9i62Am00x5zhv06ZlX0G3FhSbIaXqLwDUtlwZVc/tacxsTtLHnXM3+z245YpAFUCj8SN49MqPKZ1eg5hL9+zRI1u2EOzUgFKma9OmBwBqVylTfxdxzoUIUgEA+VSzOJEfRXK8TjV+ani4rqoDN7JSKkNTgAoA6o/nQHUhM2sxsy1mts3M3mpmVAcGAFS1wqpfrWy8BDH1WB24UZW65rRR2/QAQKOKFLOzmbVK+kdJ/zPLY1+VdJ1z7og/QwMA1JtIc7O36bg+9EFt6eryNM3YS5Gc+SAm13RkWpzUjva+Ph294w4l87zvoWhU7b29VRwVAMBvnjOqZnaepH+V9CZJ45J2SfrL9P2R9PZ/Te8HAFiGqllhtb2vT6EC1/IrYPEre4vyFVMZGgBQv4qZ+vsxpar//i9J5zvn3uOc+6hz7j2SVkv6A0kvk/THvo8SAFBzsrVqmf35z2XhcN7j/Aoeqxmw0OKktrDmFAAaXzFVf49I+nfn3Fvy7PNlSRc651b5MroGR9VfAPUqXxVVC6W+A3Vzc1WpsOqllY0f16DFCQAA/iu76q+k8yR9u8A+307vBwBoUNPxuA50dio5M7NkfahLJDR38qQUCull73xnVbJd1SiSw3RTAACqq5hiSpOSWgvs80vp/QAADWqsv79gqxY3O6voWWfl7F9aj+anm1Y6ewsAAIqb+vsFSZskbXDOPZzl8UslfU3SXufc230dZYNi6i+AerQ3FvNW2TcWa6hAFQAA+C/X1N9iMqp/qlSg+jUz+7yk/ZKeVmqq7xWSfkvSnKQ/K3u0AICaRasWAABQaZ4DVefcd8ysU9Idkt4l6bcXPGySnpV0tXOu0DpWAEAdq2avVAAAsDwVU0xJzrl7lFqH2iVpu6Sd6fttklqdc1/yfYQAsExka/dyqKdH0/F40ENbhFYtaCT18nMHAMuN5zWqQUhncF8v6RJJaySdKemzzrmuLPuukvSfeU73T865K3Nc5ypJH5T03yQlJX1X0i3pwDzb/mFJvyPpvZLOl3RC0jclfSLb+t1cWKMKYF6+di+VaOlSDlq1oFHU088dADQqP9rTBOGPJX1IqUD1Bx6POSTppiy34Ww7m9ktkj4j6aWSPiVpSNJrJO0xsw9l2d8kfV7SX0s6TdKApLslvU7Sg2a21eM4AUBS4XYvyZkZHejs9CXD40f2iFYtaATV/LkDABSv1gPVXkmrJcUkfcDjMY865z6e5bYkUDWzyyX1SYpL6nDO9TrnPijpfyi15vaWdKZ2oSsldUp6WNIlzrnfd85dI2m9UtnYT5nZmUU/UwDLlpd2L3OJhMa2by/rOsdGRrS/o0Pjg4OpNabOafb4cY0PDmp/R4eOjYx4Ptd8q5bW7u6q9EoF/FatnzsAQGlqeurvQmZ2hVKVhgtN/b3DOfcej+e8U6n1tVc7527PeOxmSR+TdLNz7sYF2x+U9P8q1aZnv9fzZcPUXwBSddq9MF0XWIw2SwBQG+p16m8pXmZm15rZH6bvO/LsuyF9/+Usj41k7CMzO13S5ZJmJD3k5RgAKKQa7V7IHgGL0WYJAGpbIwaq/1PSJ5Xq+/pJSYfMbL+Z/dLCncxspaSXS5pyzj2d5Tz/kb5fvWBbm6SwpCedc7MejwGAvLy2cSmn3cvE0NCSdXiZXCKhiV27Sr4GUE+q8XMHAChdIwWqM5L+RKn1pWenb69XarrwFZLuTwen885K3+eazzO//UVlHgMAeVWj3Ysf2SPaeKCR0GYJAGqb50DVzPaZ2Z9UcjDlcM79yDl3g3PuO865n6VvD0p6k6RHJLVLel+wo5TMrNvMDprZwWeeeSbo4QCoAe19fQoV+IM5FI2qvbe35GuUmz3ysxATUAuq8XMHAChdMRnVy5Sa9lpX0lN0B9P/fN2Ch+azn2cpu/ntPyvzmMzx7HDOrXXOrT3nnHNy7QZgGalGu5dyske08UAjos0SANS2YgLV/5D0ikoNpMLmU5enpv4656aV6s3abGYvzXLM+en7wwu2xZVqQfMqM4t4PAYACqp0u5dyskcUYkIu9T4dnDZLAFC7iglUByVtyixKVCcuS98/mbF9X/r+LVmO2Zixj5xzzynVP7VJqRY1BY8BAK9WtrVpzcCANk1OamsyqU2Tk1ozMOBLRqec7JEfhZjqPaDBUo0yHbySP3cAgNIVE6jukfSvkr5uZh8ys0vNrNXMfinzVqGx5mVmv2xmS56Pmb1B0nyKYCjj4U+m7//IzM5ecMwqSR+UdFJSZj/U29L3n0i3q5k/Zp2kdyqVvf1Cac8CACqn1OxRuYWYGiWgwQuYDg4AqDRzznnb0WxOkpNk6ftcnHMu27TYopnZ2yS9Lf3P8yS9Wams6HwP0x875z6S3vcBpabePixpIv14h17oafox59wnslyjX9KH08cMSzpNqYDzxZKud84NZOxvkv5ZUqekf1cqgH9x+pjTJb3dObfby/Nbu3atO3jwoJddASAwe2OxVIBZQCQW06bJxUXRp+Nx7e/oUHJmJudx4aYmrR8dJYNVRw719Gh8cDBvpt2iUbV2d2vNwEDOfQAAMLNvO+fWZm4vJqC8U/kD1Eq4RNJVGdtelb5J0rikj6T/e5ekX5e0TqkpuFFJx5QKKgeccw8pC+dcn5k9plQGtVvSnKTvSPor59w9WfZ3ZvZbSgXEV0u6XtJzkh6U9Ann3MOlPVUAqE0tXV2egpJshZiKWd9KQFM/ipkOzvsKACiF54wq/EdGFai86XhcY/39mhga0uzUlCLNzWrp6lJ7Xx8ZvAXyvU6SSs6KlpONRe3aHQpJXv5+CIW0NZms/IAAAHUrV0a1mDWqAFBXWBvpzfzrdORTn1r0Oh257Tbdd8EF+vHXvlZyIaZy17eiNpXblxcAgEJKClTN7EIz+3UzWzrPCwBqAMVevFn4Oml2dukOyaQeveYaPff00yUVYiKgaUzl9OUFAMCLogJVM7vEzA5K+p5ShYc+s+Cx15vZjJlt8XeIAFA8en96M9bfr+Tzzxfc79C110pS0W08CGgaUzl9eQEA8MJzoGpmqyU9IOkCSX8rKXPO3IOSnlWqGi4ABMqP3p/LwcTQUPZMagY3O1tSUE9A05jK6csLAIAXxWRUb1SqdculzrkPSzqw8EGXqsr0DaWq7gJAoOp1beR0PK5DPT3aG4tpdyikvbGYDvX0VGyKcjHPv5SgnoCmcZXalxcAAC+K6aP6Q0n3Oee60v++UdINzrnwgn3+WtLVzrkXVWKwjYaqv0Dl+FFtNrMSrkVSHb1cIqHImWf6Xj342MiIDnR2ai6RWJQNtmhUoWhU64aHff/j3+vrJKmsCq7T8bjGtm/XxK5dL1QV3rZN7b29BKkAACxjflT9PVvSRKHrKJV1BYBAlbs2MlvFYLcggPS7enBQxZ9auro871tOwaOVbW1Fr28FAADLVzGB6jFJ7QX2ebWko6UPBwD8Uc7ayHxB40J+BpBBFX9q7+uTwuGC+1kkQsEjAABQNcUEqvskbTGzC7I9aGbrJL1B0lf8GBgAlKOctZFegsaF/Agggyr+tLKtTZfs2FFwv9Bpp1HwCAAAVE0xgeqfS5qV9KCZfUDSyyTJzF6d/vceSccl3eL7KAGgBKUWe/ESNC7kRwAZZPGn1quv1iWf/vSpNbgLWSRCwSMAAFB1nospSZKZvUXS/5UUm98kyaXvfyap0zm3z+9BNiqKKQHBySyUFGluPlUc6b7zz5eK+GyUlLPQUL7rLAz8/Cj+VC4KHgEAgGrLVUypqEA1faIXSbpK0mWSXixpUtI3Jd3unHvWh7EuGwSqQGUUCg4LVdeVc0qeOFHUNbMFkMVU8T3U06PxwcG8mVyLRtXa3a01AwOexuQ1SAYAAAiKb4Eq/EOgCvivUHD4mltv1WPXX6/kzEzuk4TDMjO52VlP18wWQE7H49rf0ZH3OuGmJq0fHdXKtrai9y8kiFY3AAAAxfKjPQ0A1DQvLV4e7e7W3PPP5z+RWVHXzVY9uNgqvuUUf8rk5XX45q/9mnaHQtobi+lQT4/vbW8AAADKUXSgambvMrP7zexZM5tN399vZu+qxAABwCtP1XqTycKZ0tnZU8Fhvl6s+QLIUqr4llr8KZPnqsXO+d4PFgAAwA+ep/6aWVTSsKTNShVPSkr6saSXSAorVVTpHqUKKnkvl7mMMfUX8JfXgkSehEJ64+HDLxQXOn48FbQ6Jzc7q8iZZ+YtNLQ7FPJWkClHEaZylPo6FDO1GAAAwA9+TP39qKQtkh6RtF7S6c65l0o6XdIGSd9SKoj9X+UPFwCK52frlnBTU6oQ0Z13avb4cUWam9V6zTV6wxNPaOvcnDZNTmrNwEDOoC7S3OzpOl73K0apr4Mf/WABAAD8UEyg+m5JY5KucM59zTmXlCTnXNI594CkKyQ9Kek9Po8RADzxLegLh5U8cULjg4OpzGR6iuyR227Tfe3t2tPUVHBdZ0tXV95pw1Jq6nDLtm3+jHmBUl8HP/rBAgAA+KGYQLVF0m7nXNYqJM65k5J2S3q5HwMDgGJ5CQ4Vicgikfz7JJOptaw51nnOnTihI5/6VN51ne19falWN3lkK8LkB0+vQw5+ZqUBAABKVUyg+pSkQn/5RNP7AUDVeQkOw6edpjX/+I85q+taJCKFw4UvNjur5MyMDnR2Zs2s+lnFt1heXodcKjEVGQAAoFjFBKqfk9RpZrFsD5rZiyR1SvqsHwMDgGJ5DQ5br746Z3Xd0IoVqYyqR/nWdfpVxbdY+V6HfCo1FRkAAKBYxVT9PU3SP0u6UNLNkh6UdEzSuZJeL+ljkp6Q9A6q/npD1V+gMqbj8Req9U5NKdLcnLdC70Keq/UuEInFtGlyspwhV8Si1yG91jYfqv4CAIBqy1X1N2egamZzSrWcWfJQge3OOVdgARgkAlWgFpXU2qUCLWYqYXznTh269tolfWQtElHotNO0bnjY1yzvdDyeqpw8NPTCFwZdXWrv66vpYLhexw0AQD0qJVB9QNkD0oKcc+tLOW65IVAFas+hnh6NDw7mLKSUTa1mVBc6NjKiA52dSj7/vJQRqCoc1iU7dqj16qt9v95cIrHotbRoVKFo1Peg2C/1Om4AAOpV0YEqKo9AFag90/G49nd0KDkz42l/i0bV2t2tNQMDFR5Z6bw8Jz+n/Vb7en6p13EDAFDPcgWqxRRTAoC6NB2P61BPj/bGYtodCmlvLJazD+qiQkSF2tioci1m/DTW36+5AhnifEWhav16fqnXcQMA0IjIqAaIjCpQeaVO5ZwvRHT09tuzZtjqaSqo13W3fk1hrvb1/FKv4wYAoJ7lyqgWXfTIzLZIukRSi7L3VXXOuWuKHyIA+Gs6Hk+ty8wSaLpEQslEQgc6O7V+dFSSshbQOfVYRhXh87ZskXNOB9/5zoIFd4IuzjM7NeXrfrV2Pb/U67gBAGhExbSnaZW0R9Krlarwm4tzzoV9GFvDI6MKVJaXwkgWjeqcN79ZP9m3z3PWtZgsbS0U5yGj6k29jhsAgHrmxxrVv5N0saTbJV0h6XxJr8xye1W5gwUAP0wMDRWs3usSCf3onnuUnJlZsq9LJJScmdGBzs5T61kXZmkL7V/MvpXU0tUli2abAPMCi0bVsm1bXV7PL/U6bgAAGlExgeoGSV9xzr3POfegcy7unBvPdqvUYAGgGH5N0VxYQKeYgju1Upynva9PoQIBmJ9Foap9Pb/U67gBAGhExQSqCUmPVWogAOC3SHOzL+dxiYQmdu2S5D1LO7FrV1H7VtKiSsYZgZhFowo3NWnd8LBv62WrfT2/1Ou4AQBoRMUEql9XauovANQFL1M5vZrPzhZTcKeWivOcu3Gj1o+OqrW7W5FYTAqFFInF1NrdrfWjo76vk6329fxSr+MGAKDRFFNM6b9LekjS+5xzn6/oqJYJiikBlTUdj2t/R0fWqr/Fmi+gU0zBHTlHcR4AAIA8yi6m5Jz7rqQ3SBows/1m1m9mN2S5fczPgQNApul4XId6erQ3FtPuUEh7YzEd6ulZUpTIy1TOX9y0qagCOsUU3KE4DwAAQGmKyaieJen/k7S+wK60p/GIjCqwmJd+o6W0e5mOx5f0QW3Ztu1UUZxCWddwU5PWj45qZVubpyzt/P7FnhsAAGC5yZVRLSZQ3SnpPZLuk7RL0lOSZrPt65z7WskjXUYIVFGLvASLlTj31OHDBQPQ5tWrKxL4FRv81lsfVQAAgFrlR6D6I0mHnXP/j9+DW64IVFFrKhlU5Tu3hcOSc5o7eTLn8eGmJp33trfpqbvuyltJ16JRtXZ3a83AQFHjy5d1zRb0FrN/secGAABYLvwIVI9Lus059wd+D265IlBFLSlmSmuu4CpXxvRlnZ16ZMuWsooaza/1LNTuRaI4EQAAQL0ou5iSpO9KepV/QwJQS8b6+zVXIAicSyQ0tn171seOjYxof0eHxgcHU5Vu0xVvxwcH9Y03v1nJPNlSL1xGJjafarR7AQAAQOUUE6j+iaQtZsbUX6ABTQwNFQwEXSKhiV27lmyfjsd1oLNTyZmZJedwiYTc7KyUTPo63nwizc1VuxYAAAD8Fyli35dKukfSPjP7nKRvS8o6t845d6cPYwNQRV6zkNn285KN9YOX6b+0eylOJYtnAQAAlKqYNapzkpwkW7A582AT7Wk8Y40qasneWCw1ZbeAbOs/vR5bDotG9fJ3vENP33037V58QkViAAgeXxhiucu1RrWYjOp7fRwPgBrT0tWl8cHBkrKV1VgTGopGdeFNN6nlXe8qGFzxi72whdO1M7lEQslEQgc6Own6AaCCsn1hOF/f4egdd/CFIZY1zxlV+I+MKmpJOVV//ciohlaskEIhudnZgtk92r2U71BPj6cvJkpp9YPGQJYHqCw/qu0DjaDs9jTwH4EqgpLrD9AXrV2rx66/vuipoF6CnrzCYV22Z4+aV68mAK2ScqZ6o/ExLRyoPL4wBFIIVGsQgSqCUOgP0Nfceqt+9p3v5A0WMwPdcFOT5k6eTFX3LUG4uVmbK7zGFYvtDoUkL5//oZC2VrFiM4JHlgeoDr4wBFLKXqNqZk963NU55/jNBdQgL+sSH7v+eq0fHc357W22QDc5PS2F0zXUwuGiW9Hk+oPY76mHTGV8QaS52dsfSLT6WXaK6alMlgcoXTnV9oHloJg+qiGlqvpm3s6WtCp9O63IcwKosOl4XId6erQ3FtN97e15sySSNPf88xrbvj3nuXL1S10YnIabmyUzeZUtGDo2MqL9HR0aHxxMBVTOnSowsb+jQ8dGRjyfvxLnq3ctXV2n2v3kQquf5amcnsoAvPP6RSBfGGK58hxUOudWOedemeV2tqTVkr4sKS7pokoNFoB30/G4vrF5s+5rb9eR227zXOzIzc7q6O23Z33MS6bFQiG9+IorFD7jDE/BarZgKF9A7BIJJWdmdKCzU9PxeMHzV+J8jaC9r0+hAoFqKBpVe29vlUaEWkGWB6gOvjAE8vMl++mcG5P0G5JeLulGP84JoHTHRka07zWv0Y/27i3p+OTMTNagzWum5Uf33JPK3HpYA5ktGCpm6qEXfp+vEaxsa9O64WGFm5qW/KFk0ajCTU20+lmmyPIA1cEXhkB+vk3Tdc49J+mrkn7Lr3MCKN589nDuxImyzpMtaPM1g2KWMxjye+qhn+dbOJV6dyikvbGYDvX01GU29tyNG7V+dFSt3d2KxGJSKKRILKbW7m6tHx2lqusyRZYHqA6+MATy83s96ayk8/w4kZl1mtmtZvaQmf3czJyZDRU45nIzu9fMnjWzE2Y2ama/Z2bhPMdsNrMHzGzSzKbM7BEzu6rAda4ys2+l959MH7+51OcK+MlL9tCLhUHbfHDmqUqsV85JZvrhnj1Lgjy/px76tV8jrnNd2damNQMD2jQ5qa3JpDZNTmrNwAB/GC1jZHmA6uELQyA339rTmNlLJD0q6YRz7nwfzveopDWSpiRNSLpQ0medc1059t8q6QuSnpP0T5KelbRF0gWShp1zv5nlmA9JulXST9LHPC+pU1KLpH7n3EeyHHOLpL70mIaVKiB1paRfkHS9c85zCUTa06AUhSrXei1370XkzDNfOJeZv4FqWra+jH6X7PfjfLTswHJCH1UAQLXkak/jOaNqZjfkuN1sZrdLOizppZI+5dOYe5Uq0hST9IECY4ulr5uUdIVz7hrn3O9LukTSNyR1mtmVGcesknSLUgHtWufcB51zvZI6lCoK1Wdmr8045nKlgtS4pA7nXK9z7oOS/kf6PLekzwtUhJeMnp/TcxcFdxXquZytmJHfUw/9OB/rXLGckOUBAATNc0bVzOYK7PJzSX/rnPO9mJKZXSFpv3JkVM3sakmflnSnc+6qjMc2SLpf0oPOudcv2H6zpI9JujlzzLnOZ2Z3Stom6Wrn3O0Zx+Q8Xy5kVFEMrxk9maX6mlbZfKblxevX65l/+ZeCa0KzHf/yd7xDkVhMR++8s+BzKCZ76Uc2lMbsAAAA/suVUY0UcY71ObbPSfqppH93zs2WMjgfbEjffznLYw9KmpF0uZmtcM6d9HDMSMY+Xq4zolSgukFUPkYFeM3oNV9wgaa+//2iA8VytXZ3n1qztr+jQ8kir+8SCU189rOyaDTv2BdOPfQ6xXa+YEWhqYz5zkfLDgAAgOoppo/q13LcHnLOPR5gkCql1qFKqenHi6TH9Z9KBeWv8njM05KmJbWYWZMkmdlKpdrvTKUfz/Qf6fvVpTwBoBCvlWtnjhwpWAjllHDOOmPFCYVOFeDJV8XQi3zPMdzcXPLUw3KnMtKyo7BGqogMAACC5XfV36Cclb7PNd9ufvuLSjjmrIz7Yq6xhJl1m9lBMzv4zDPP5NsVWMRrpi45M1MwUPzFzZt1+f33a9V11y0K2ko2N6fdZtptpn0XX6zQihWLg0IfWDSqV1x1VVkVacupcEvLjvwasSIyAJSLL/CA0uVdo2pmJQWyzrlC61mL4mGN6mFJ50s63zk3luXxr0u6XNLlzrlvpLc9LykqKZotG2xmP5D0Mkkvc849bWYvk/QDST9wzrVk2T+qVNXg551zK7w8L9aoohjFrpGcjsc1tn27JnbteqE68LZtau/tLXsdphcX3HSTLrzhBknSoZ4ejQ8Olj0dOcj1n1T9zY3XBgCWono24E2pVX8TJdye92/YnmVmPzPNb/9ZCcdMZtwXcw3AN8Vm9ErJHnq5hlffv/FGPbNvnyRvfRm9CHL9J43Zc6MiMgAsNh2P60Bnp5IzM0u+pM1W7R7AUoUC1aOS/svj7VlJlr5V2/fT90vWh5pZRNIrJc1KetLjMS+VtFLShHNuRpKcc9NKZVSb049nmu8du2TNK+AHL8FeKBo9VdCoUtcoxmO/+7uSCgd5XgW9/pOWHdl5XT89sWtXlUYEAMEa6+9X8uTJvPskT57kCzwgj7yBqnNulXPulfluSgV6ty4415EKjzmbfen7t2R57HWSmiQ9vKDib6FjNmbsU84xgC+qkdErtxBSpuOPP37qv/MFeS//7d+um/Wf5axzbVRURAaAxY7eeaeUTObfKZnU0TvuqM6AgDpUVjElM/tNSU9I+iulMql/IOkiH8ZVrGFJP5Z0pZmdmt9sZqdL+kT6n7dlHHO7pJOSPmRmqxYcc7akP0z/85MZx8z/+4/S+80fs0rSB9Pnu11AhVQjo5frGn7IFeRddPPNFc8Wo3KoiAwAi3ntZ57kCzwgp7zFlHIeZHa5pFskXarUlNp/kHSzc+6nvg3M7G2S3pb+53mS3qzU1N2H0tt+7Jz7SMb+w5Kek/R5paYiv1WpNjTDkt7hMp6smV0v6e8k/UTSPym1vrZTUouk/oXnX3BMv6QPS5pIn/c0Se+U9GJJ1zvnBrw+R4opoZ6UWmhpq8fPGIpO1C8vxbIsGlVrd7fWDHj+iASAurXbvK+E8/p7EmhUpRZTyjxJm5kNKxUsXibpC5L+m3Ou188gNe0SSVelb29Ob3vVgm2dC3d2zn1R0uslPSjp7ZKuV6q404clXZkZpKaPuVWpYPZ7kt4tqVvSDyW9J1uQmj6mT9J70/t1p4/7nqQtxQSpQL0ppdDSmRdf7Hlf1n/Wr2qsnwYAAMuLp4yqmf2CpBslXatUBvEbkvqcc9+s7PAaGxlV1BMvLUgyXX7//Tpnw4YKjgq1gow4ALzgnuZmT9N/w83N2uxTWzigXpWUUTWz08zsDySNKZWhPCrpN51zv0qQCtS/YhqRF1to6YKbbiJIXUbIiAPAC17x7ndL4XD+ncJhveKqq6ozIKAO5c2omtl/SvolpdZ7/omkv3fOFShhBq/IqKIapuNxjfX3a2JoSLNTU4o0N6ulq0svWrtWj11/fdYMmEUiesn69Xr2oYc0OzWlcFOTmlat0vSTT2ruxIm81zvz4ov1mr/9W4JUVF2u/9fb+/qWdVVmANU3HY9r36tfrbk8LWpCK1Zow/e+x+cTlr1cGdVCgeqcJCfpp5K8zvdzzrnWkka5zBCootJyTcdUJCLNzvpzkXBY4RWyyt/AAAAgAElEQVQrmNpZJIIqfzH1GEAtIVAFvCsnUC2ac66stjfLBYEqKqmUNaXlCDc1af3oKL9wPSCo8peX/9f5/xNANVENHfCupDWqzrlQKbfKPQ0AXo3192suzy9IvyVnZnT/RRflXOOKlOl4XAc6O5WcmVnyB4xLJJScmdGBzk5ewyJ4+X99LpHQ2PbtVRoRgOVuYmgob5AqpT7zJ3btqtKIgPpDUAk0qKN33lnwl6TfXCKh8cFB7e/o0LGRkapeu14QVPmPPwgB1JrZqSlf9wOWIwJVoAbkqr77zL59nqvyLjzXNzZt8lQWvxLICuZHUOU//iAEUGsizc2+7gcsRwSqQMCOjYxof0eHxgcHNXv8uOScZo8f15EdO/TwG96gIzt2LNqembFcFOSa6b72dv3o3nsDflZkBXMhqPIffxACqDXnvfWt3vbbsqXCIwHqF4EqEKB86xWVTC6+T1uYsRzfuXNxkFtDyApmR1Dlv5auroK9fS0aVcu2bVUaEYDlzuvv5Fr73Q3UEgJVIEDlFDyae/55PdrdnT3IrRFkBZciqPJfe1+fQgVe01A0qvbe3iqNCMBy57VOw7Evf7nCIwHqF4EqECAv6xVzcbOzS7KttYas4FIEVf5b2damdcPDCjc1LfkSwKJRhZuatG54mNY0AKrG6+929/zzFR4JUL8IVIEA1UTGMRyuyGnJCmZHUFUZ527cqPWjo2rt7lYkFpNCIUViMbV2d2v96Ch9aQEAqDPmnAt6DMvW2rVr3cGDB4MeBgK0Nxari/UpK88/X9NPPllUBjfc1KT1o6MEXDlMx+Ma275dE7t2aXZqSpHmZrVs26b23l5eMwCoc7ujUWl2tvCOkYi21ujyHaBazOzbzrm1mdvJqAIB8rJeseLCYVkkkjO7d9m99+q5p57yHKSSFfRmZVub1gwMaNPkpLYmk9o0Oak1AwO8ZgDQAFauWuVtv1e9qrIDAeoYgSoQIC/rFXOxSMSfQSSTCp1+et4pk8X0ZGWqJQBguXvu6ae97ffUUxUeCVC/mPobIKb+QkpVBjzQ2am5RGJx8YVwOJXFnL9Ps2hUoWhUr7n1Vj16zTX+DCIU0tYcGdPpeFz3tbd7PtVWPlMAAMvc7lBI8vL7MM/vX2C5YOovEJDpeFyHenq0NxbT7lBIe2MxHerp0XQ8LumFIjAvf8c7Fk2/tVBI527ZopYrr8ya6Wy9+mrfxpirOu+xkRHt7+jw7ToAACwH9MwGyufT3EEA2WTLls4eP67xwUEdveMOrRse1rkbN2rq8GE9fffdWjjDwSUSOrZnjxQO65IdO5YEpl57tBUUDmetzjsdj+tAZ6eSMzPeT8UvXAAA1NLVpfHBwbxtaqiOD+RHoApUSL5AzyUSSiYSOtDZqUv37NG3fuM3NPfcc9lPlEzq0Wuu0cljx3Ti6FFNDA2l2tr4NcU2mdSLfvmXl2we6+/XXDGVCMNhveKqq/wZEwAAday9r09H77hDyTy/R+mZDeTHGtUAsUa1sR3q6Sn4barM/As4y5CtlUyxrXNoRwMAwAty1aCYrzUxP6sKWO5YowpU2cTQUP4gVaqJIFWS5hIJjW3fvmjb7NSU5+NpRwMAwGLnbtyoS/fsUfPq1Yu2N69erUv37CFIBQogUAV8Nl88qZhsZNBcIqGJXbsWbfNa4MFOO412NAAAZDg2MqJHtmzR1OHDi7ZPHT6sR7Zs8a/WBNCgCFQBH81XyR0fHAx6KEXLzKC2dHUtqkKcjUWjan3/+8mkAgCwwMI6FZmzq1wioeTMjA50dp7qAABgKQJVwCf5finVg8wMantfn0IFAlUKQQAAsJSXgoTZlt0AeAGBKuCToqvk1pBsJfJXtrVp3fCwwk1NSzKrFo2eWpcqKW+fWAAAlhsvdSqyLbsB8AICVcAnnoon1SgLhbJmRs/duFHrR0fV2t2tSCwmhUKKxGJq7e7W+tFRSTo11Xn2+HHJuVN9Yvd3dLD+BgCwLHktSFhM4UJguaE9TYBoT9NYdpsFPYSyhFeu1Cve/W619/V5WnM6HY9rf0dH1j6xp85JyxoAwDLktcVbJBbTpsnJKowIqF20pwEqaHznzqCHULbk9HRRmVDW3wAAkJ3XgoSZy24AvICMaoDIqNav6XhcY/39mhgaSk3babCfIy+ZUL4tBgAgO2YdAd6RUQVKNN8Xdb5Y0J6mJt1/4YUa/9SnTq3LbDReMqGsvwEAIDuvBQkJUoHcCFSBPMZ37tR9F1ygI7fddioonTtxQm52Vm52NujhVYyXSoSZ7WzK3Q8AgEZSqCDhuRs3Bj1EoKZFgh4AUKvGd+7Uo9dcE/QwAlMoE9rS1aXxwcG8lY5ZfwMAWM5WtrVpzcCA1gwMBD0UoO6QUQWymI7Hdejaa4MeRqAKZULb+/oUKlAoIhSNZm17AwAAAORDoAqkLVyLel97e0NP7S3ESyaU9TcAAACoFAJVQNKxkRHt7+jQ+OCgp0q2jc5rJpT1NwAAAKgE2tMEiPY0tcFLCfnlwqJRhaJRrRseJsgEAABAxdGeBshhrL9fc3kKAjUyi0QUbm4mEwoAQAVktrjbG4vpUE+PpuPxoIcG1DwyqgEio1ob9sZiy3K67/waUoJSAAD8d2xkRAc6OzWXSCyqkM/sJWAxMqpADoXasDSiMy++mMwpAAAVMh2P60Bnp5IzM0vauLlEQsmZGR3o7CSzCuRBoIplr1AblnoQOv10nbt5c2oabwHhpiZd+sUvUo0XAIAK8bKsaC6R0Nj27VUaEVB/CFSx7LV0dS1pr1JPVq5erQ2PP67L9uzR5uPHddm999IyBgCAAE0MDS3JpGZyiYQmdu2q0oiA+kOgimWvva9PoToNVEMrVui19967KPCkZQwAAMHyuqxoOS4/AryimFKAKKZUO46NjOibW7ZIyWTQQ/HGTKHTT9evfOELBJ4AANQYr4UaI7GYNk1OVmFEQO2imBKQYWHJ+G9u2lQ3QWokFtOqnh5teOwxglQAAGqQl2VFFo2qZdu2Ko0IqD+RoAcABCFXyfiaFwrxzSsAADWuva9PR++4Q8k8f2OEolG19/ZWcVRAfSGjioaWrdH2wXe9S996+9uzloyvdY1QoRgAgEa3sq1N64aHKW4IlIFAFQ3r2MiI9l18sY588pOpdSLOafb4cf3gc5/T3IkTQQ+vJOe+9a1BDwEAAHhw7saNunTPHjWvXr1oe/Pq1bp0zx6W7wAFEKiiIU3H4/rWr/+65p57TmqggmHWQM8FAIBGdmxkRI9s2aKpw4cXbZ86fFiPbNmiYyMjAY0MqA8EqmhIT9xwg+ZOngx6GL774Z49QQ8BWPayLSk41NOj6Xg86KEBqBHT8bgOdHZmXWbkEgklZ2Z0oLOTzw0gDwJVNKSn7ror6CFUBP3WgGAdGxnR/o4OjQ8OLlpSMD44qP0dHWRIAEiSxvr7NVegDsZcIqGx7durNCKg/hCooiHVW5EkryimBASHDAkAryaGhgr+LeISCU3s2lWlEQH1p+ECVTM7YmYux+2HOY653MzuNbNnzeyEmY2a2e+ZWTjPdTab2QNmNmlmU2b2iJldVblnhuWOfmtAsMiQAPDK6wwoZkoBuTVqH9VJSX+TZfuSTwMz2yrpC5Kek/RPkp6VtEXSdkm/Kuk3sxzzIUm3SvqJpCFJz0vqlPQZM3uNc+4j/jwNlMoiEbnZ2apfN3TGGZJUkarC9FsDglVMhmTNwECVRgWgFkWam1PLAzzsByC7Rg1Uf+ac+3ihncwsJulTkpKSrnDOHUxv/5ikfZI6zexK59znFxyzStItSgW0a51zR9Lbb5Z0QFKfmX3BOfcNP58QvJuOx+UCqo47d/KkLv/qV/Xwm94kJZPFHRwOp46Zv0+zaFShaJR+a0DAyJAA8Kqlq0vjg4N5v9xiphSQX8NN/S1Sp6RzJH1+PkiVJOfcc5L+OP3PD2Qcc7WkFZIG5oPU9DE/lfRn6X9eV6kBo7Cx/v7Arh1pbtZTw8OyUOEfrTNaWxWJxaRQSJFYTKuuu06X33+/Vl133aLtrd3dWj86Sr81IGBeMx9kSAC09/UpFI3m3YeZUkB+jZpRXWFmXZJ+SdK0pFFJDzrnMlNcG9L3X85yjgclzUi63MxWOOdOejhmJGMfVNF0PK6x/n4due22YAYQDqtl2zZN3Hmnp2JOiZ/+VJsmJ5dsP2fDBqYNAjWIDAkAr1a2tWnd8LAOdHZqLpFY9LnBTCnAm0bNqJ4naZekP1Vqreo+Sf9hZq/P2O+C9P3hjO1yzs1K+k+lgvlXeTzmaaUC4xYzayrnCSC/zD6G9zQ16b4LLtCRHTuCG1QyqV+47LKanB5I30egfGRIABTj3I0btX50VK3d3cyUAkpgQa3lqxQzu1HSQ5K+J+m4UkHmhyR1K1Uw6bXOuUPpfQ9LOl/S+c65sSzn+rqkyyVdPr/m1MyelxSVFE0Hs5nH/EDSyyS9LB245rR27Vp38ODBfLsgi2MjI1m/oawJoZDCK1Yo6aGYUiQWy5pR9Vuu12vhN7r8sgS84ecJAAB/mdm3nXNrM7c3XEbVOXeTc26fc+6Yc27GOfe4c+46SX8t6QxJHw9yfGbWbWYHzezgM888E+RQ6lK+PoY1YW5Oyeefl0Xyz6qv1vRA+j4C/iJDAgBAdTRcoJrHJ9P3r1uwbT6ddVaOY+a3/6yEY7KmypxzO5xza51za88555w8w8VC81NX77/oIiVnZoIeTn5mBXep1vRA+j4C/lvZ1qY1AwPaNDmprcmkNk1Oas3AAGvNAADw0XIKVOfTlysXbPt++n515s5mFpH0Skmzkp70eMxL0+efcM7VeDRVP46NjGh/R0fBIiY1Y3ZWFo0q3NQky7WezTmN9fdXPJNZTN9HAAAAoFYsp0D1svT9wqBzX/r+LVn2f52kJkkPL6j4W+iYjRn7oEw1P9U3h7nnntN5b3tbzseTJ05ofHBQ+zs6dGxkJOd+5arFwk4AAABAIQ0VqJrZRWa2Msv2VZLm+30MLXhoWNKPJV1pZmsX7H+6pE+k/5nZ6+R2SSclfSh93vljzpb0h+l/flLwxRM33OCpMFHNcU5P3XVX3uC6GmtE6fsIAACAetRQgaqkd0r6oZntNbN/MLO/MLNhSU9Iapd0r6Rb5nd2zv1c0vslhSU9YGaDZvaXkh6V9FqlAtl/WngB59x/Svp9Sb8g6aCZ/b2ZbVeqV2ubpP75CsEoz7GREf3gc5+T6rQytdcMcCXXiLZ0deWefpxG30cAAADUmoZqT5Puk3qdpP+uVC/VlUoVQnpUqb6qu1yWJ2xmvyrpj5QKTk+XNCZpp6S/c84lc1xri6SPSPplpQL+f5M04Jy7w+t4aU+T23Q8rv0dHbVVOCkclpJZ/3fwh5kizc1q6epSe1+fL4VZvLyO4aYmrR8dpRAMAAA+m47HNdbfr4mhIc1OTfn+ex5oBLna0zRUoFpvCFRzO9TTUzvFk8wUOfNMtWzbppf9xm8ovn27jt1zT+Uu53M/Rvo+AgBQffz+BbwhUK1BBKq57Y3FNHv8eNDD0C9u3qzX7tmzZPt0PK5Htm7V8e99r2LX9jPTOR2Pa2z7dk3s2vXCN7rbtqm9t5dvdAEA8BkzmgDvCFRrEIFqbrtDoZpYm/rGsbGcv0AqHkxHIjrzwgt1Ynyc6UIAANQRLzPDLBpVa3e31gwM5NwHWA5yBaqNVkwJdW46Htehnp6aCFLP3bw5b0BY8ZYus7M6/vjjqWDYOc0eP16VljYAAKA89DEHykegipoxvnOn7rvgAh25LbMjUPXZihV6zd/8Td59gmjpUo2WNgAAoDz0MQfKR6CKmjC+c6ceveaaylbV9SoU0qV3311weq2X1i+LmC2+L0MlW9oAAIDy0MccKB+BKgI3HY/r0fe/P+hhnHL5V796qgrf/FTkvbGYdodC2huL6VBPj6bjcbX39SnkJVA1UyQW06qeHr1xbExb5+a06gMfKC7IzcB0IQAAate5W7Z42++tb63wSID6RaCKwD1xww3S3FzQw5CUqvJ7zoYNklJl5fd3dGh8cDDrOtGpw4e1bnhY4aamJUGnRaMKNzXpsnvv1da5OW2anNSagYFTWVrPQW4eTBcCAKA2mcfZU1YDNTmAWkWgisA9ddddQQ8hJRxWR3pd6nQ8rgOdnUrOzCwphrBwnWjz6tVaPzqq1u5uRWIxKRRSJBZTa3e31o+O5uyPtrKtLWeQ6xXThQAAqE0//NKXvO2XpQUegBQCVQSuUFW8arlkx45TGc+x/n7NFRjX/DrRlW1tWjMwoE2Tk9qaTC7JnuZy7saNWYPcMy++WBaJ5D3WolG1bNtW3BMEAABVQTEloHwEqgjE/NrPL512WtBDkcJhXfLpT6v16qtPbapWWflsQe6lX/yiQgVel1A0qvbe3rKuDQAAKoNiSkD5CFRRdfNrP4/s2BF4NnXl6tV64/e/vyhIlYL9JjTftOD5ta/rhocLZmwBAEAwvHQGYHYUkB+BKqpq4drPoFvRhJua9Np7780a8IWbmjydo1LfhOaaFlxo7SsAAAiel6KJzI4C8su/EA7wmZe1n9VgkUjOrOSxkREln3uu8Dkq/E3o/LTgNQMDFbsGAADw3/zsqAOdnZpLJBbNILNoVKFolNlRQAFkVFFVXtZ+VpyZXvuVr2TNSs5nfL1ke/kmFAAA5MLsKKA8ZFRRVbPHjwc9BF0yOHiqV2omzxlfM73m1lv5JhQAAOTE7CigdGRUUTX3v/rVwQ4gFFpS3TfT0Tvv9JbxdU6PXX+9jo2M+DhAAAAAABKBKqrkq+efr6l/+7dArm3RqF7e1aU3Hj6sl7z+9TrU06O9sZh2h0LaG4vpUE+PpuPx1NrU6WnP503OzOhAZ6em4/EKjh4AAABYfsw5F/QYlq21a9e6gwcPBj2MipmOxzXW368jn/ykFMD/Zy3vepcuvOmmU9Nzj42M5CxqYJGINDenuZMni7qGRaNq7e5mSg8AAABQAjP7tnNubeZ2MqqoiFO9Um+7LZAgVZImPvc57bv4Yh0bGVnUFidzaq9LJDR34kTRQer8sRO7dvk1ZKDhTMfjOWcxAECj4zMQKB0Z1QA1akZ1Oh7Xvosv1pyHFi8NIRTS1oB7wgK1KN8shvnWDFS9BNCo+AwEvCGjiqoZ/Z3fWT5BqqRIc3PQQwBqTqFZDKzxBtDI+AwEykegCl9Nx+P60b33Bj2MqrFoVC3btgU9DKDmeGn1NJdIaGz79iqNCACqh89AoHwEqvDVd9/3vqCHUFWhaFTtvb1BDwOoORNDQwVbPbHGG0Cj4jMQKF8k6AGgcUzH4/rJAw8EPYyqWLi+ZL6qMIAXzE5N+bofANQTPgOB8pFRhW++uWVL0EMoS2jFCoVOP10WjS5+IBKRwmGFm5qkUEiRWEyt3d1aPzpKEQQgB69rt1njDaAR8RkIlI9AFb741tvfrqknngh6GCWxaFThpib9yt13a8Pjj6u1u1uRWOxUULrq2mv1xu9/X5unp7U1mdSmyUmtGRggkwrk0dLVtfRLnwys8QbQqPgMBMpHe5oANUp7mu+89706+pnPBD2MkkRiMbVs26b23l4CT8BH0/G49nd0KDkzk3OfcFOT1o+O8rMHoOHwGQh4R3saVMTRoaH6DFLDYb1xbIzsKFAhK9vatG54WOGmpiVZhflZDKzxBtCo+AwEykegipKN79yp79TplJVLduzglwNQYedu3Kj1o6NLptOzxhvAcsBnIFAepv4GqJ6n/o7v3KlHr7km6GEUzSIRrfnHf1Tr1VcHPRQAAABg2cs19Zf2NCjadDxed0Eqa1EBAACA+kGgiqJ9t7s76CF4ZtGoWru7tWZgIOihAAAAAPCINaoo2k/27Qt6CJ6FolG19/YGPQwAAAAARSBQRVG+smpV0EPwJhxeVFFvOh7XoZ4e7Y3FtDsU0t5YTId6ejQdjwc9UgAAAAAZCFTh2b+0t+u58fGgh1FQuLlZq6677lRFvWMjI9rf0aHxwUHNHj8uOafZ48c1Pjio/R0dOjYyEvSQAQAAACzAGlV48t33v18najD7aNGoQtGo1g0PZy3zPh2P60BnZ9aG2y6RUDKR0IHOThpuAwAAADWEjCoKmo7H9V+Dg0EP4xRbscJzL7Kx/n7NJRJ5zzeXSGhs+/ZKDBUAAABACciooqDHP/zhoIdwyiWf/nRRPVAnhobkCgSqLpHQxK5dVAYGAAAAagQZVRT0wy99KeghpESjRQWpkjQ7NeXrfgAAAAAqj0AVee02C3oIp5Qykkhzs6/7AQAAAKg8AlXk9I3Nm4MewiJudrboY1q6umTRaN59LBpVy7ZtpQ4LAAAAgM8IVJHTj/buDXoIi0TOPLPoY9r7+hQqEKiGolG19/aWOiwAAAAAPiNQRVa1NOVXKj3rubKtTeuGhxVualqSWbVoVOGmJq0bHqY1DQAAAFBDCFSxxL999KNBD2GJcrKe527cqPWjo2rt7lYkFvPc2gYAAABAMMw5F/QYlq21a9e6gwcPBj2MJWopm2rRqELRqNYNDxNQAgAAAA3GzL7tnFubuZ0+qlhk98qVgV7fIhFZNKq5kycVaW5Wy7Ztau/tZWouAAAAsIwQqGKxmZnALn3mxRfr0i9+kaAUAAAAWOZYo4pTgpzyGzrjDIJUAAAAAJIIVJH2zL59gV07tGKFfuULXyBIBQAAACCJQBVpD7/hDdW/aCiklne9Sxu+9z0KJQEAAAA4hTWq0HQ8XvVrhpuatH50lCwqAAAAgCXIqEL3tbdX9XqhM87QuuFhglQAAAAAWRGolsjMWsxsp5k9ZWYnzeyImf2NmZ0d9Nhq2bmbN2vDY48x1RcAAABATkz9LYGZtUl6WNIvStot6d8l/Yqk35X0FjP7VefcTwIcomeVqPR70Z//uU5MTGhi1y7NTk3RDxUAAABAUQhUS/MPSgWpv+Ocu3V+o5n9taReSX8q6bqAxhYoO+00rf7f/1uStGZgIODRAAAAAKhHTP0tUjqb+iZJRyT9fcbDN0qalrTNzFZWeWjBC4XU+v73Bz0KAAAAAHWOQLV469P3/+Kcm1v4gHPuuKSvS2qSdFm1Bxa08Omnq723N+hhAAAAAKhzBKrFuyB9fzjH4/+Rvl9dhbHUBItGFW5qopIvAAAAAF8QqBbvrPT9ZI7H57e/KNuDZtZtZgfN7OAzzzzj++CqLRKLqbW7W+tHR6nkCwAAAMAXFFOqMufcDkk7JGnt2rUu4OGUJhTSGw8fJnsKAAAAoCLIqBZvPmN6Vo7H57f/rApjqb5IRJfdcw9BKgAAAICKIaNavO+n73OtQT0/fZ9rDWvdOvOSS3Qp61ABAAAAVBgZ1eLtT9+/ycwWvX5mdqakX5U0I+mb1R5YKbY6b7OPX/V7v6cN3/0uQSoAAACAiiNQLZJzLi7pXyStkvTBjIdvkrRS0i7n3HSVh1ayQsHq5fffr9ds316l0QAAAABY7pj6W5oeSQ9L+jsze4OkJyRdqlSP1cOS/ijAsZXEa2YVAAAAACqNjGoJ0lnVtZI+o1SA2iepTdLfSrrMOfeT4EYHAAAAAPWNjGqJnHNHJb036HEAAAAAQKMhowoAAAAAqCkEqgAAAACAmkKgCgAAAACoKQSqAAAAAICaQqAKAAAAAKgpBKoAAAAAgJpCoAoAAAAAqCkEqgAAAACAmkKgCgAAAACoKQSqAAAAAICaQqAKAAAAAKgpBKoAAAAAgJpCoAoAAAAAqCkEqgAAAACAmkKgCgAAAACoKQSqAAAAAICaYs65oMewbJnZM5LGgx5HFi+R9OOgB4FFeE9qE+9L7eE9qU28L7WJ96X28J7UJt6Xymp1zp2TuZFAFUuY2UHn3Nqgx4EX8J7UJt6X2sN7Upt4X2oT70vt4T2pTbwvwWDqLwAAAACgphCoAgAAAABqCoEqstkR9ACwBO9JbeJ9qT28J7WJ96U28b7UHt6T2sT7EgDWqAIAAAAAagoZVQAAAABATSFQBQAAAADUFAJVSJLMrMXMdprZU2Z20syOmNnfmNnZQY+tlphZp5ndamYPmdnPzcyZ2VCBYy43s3vN7FkzO2Fmo2b2e2YWznPMZjN7wMwmzWzKzB4xs6sKXOcqM/tWev/J9PGb8+wfNrPe9HhOpMd3r5ldXviVqB1m9mIze5+Z3W1mY+nnMmlm/2pm15hZ1s853pfKM7O/MLP7zezogufyXTO70cxenOMY3pcqM7Ou9GeZM7P35dinJl9jMzvDzG4ys++b2XNm9iMz+2czu8j7KxA8S/3OdTluP8xxDD8rVWJmb7DU75gfWupvpKfM7Ctm9mtZ9uV9qRAze0+en5P5WzLLcbwn9co5x22Z3yS1STomyUn6oqT/I2lf+t//LunFQY+xVm6SHk2/LsclPZH+76E8+2+VNCtpStKnJf1V+jV1ku7KccyH0o//WNLfS9ou6Wh62y05jrkl/fjR9P5/L+kn6W0fyrK/SbprwXv8V+nxTaXHuzXo17qI9+S69PN4StJnJf25pJ2SfpbePqz0enzel6q/N89L+mb6/fg/km6VdCD9/H4g6RW8L4G/R69I/6wcTz+/99XLayxphaR/TR9zQNJfSPqcpISkaUmXBv36FvE+HEm/Dx/PcvtIlv35Wanee/OXC16DHZL+TNKnJH1H0l/yvlT1vbgkx8/IxyXdn35+9/CeNM4t8AFwC/4m6SvpH5TrM7b/dXr7J4MeY63cJK2XdH76A+YK5QlUJcUk/UjSSUlrF2w/XdLD6WOvzDhmlaTn0h9uqxZsP1vSWPqY12Ycc3l6+5ikszPO9ZP0+VZlHPNb6WO+Lun0BdvXpcf7I0lnBv16e3xPNkjaIimUsf08Sf+Vfp5v530J5L05Pcf2P00/z3/gfQn0/TFJ90mKK/VH0pJAtZZfY0kfTR9zlxb8/Cv1h6mT9D39/+2deZRdRbWHvx9DIgIyCaKCAj4QZflAyhAAABWOSURBVHJABQwkiOCIccABEYgDiiw18ARRFA36VFAUfCpiEI08RXgYI+oLIFPCICggKoKMmsgMgRDGJITs98euSw4n56Y7Tfe9tzu/b61alVu169Su2uekzz411f5f6NVAOqqz+inrZ6VzdjmgtGcKMKohf1XbpTcCcFlp49tsk5ETuq6AQ5dvgBxNDeBfLP2ivyb5ZecRYPVu69prgb4d1Q+V/J825L2u5M2spX+5pB/V3+sBp5T0DzaUabwecFFJ37WhTNvrDbcAHFHa8l3bpXcCsF1py7m2S1ftMBFYDOxCjkg0Oao92cekkz27pG/aUKbt9XoxsHyOqp+VzthkNOkszKbBSbVdeicA25Q23AasbJuMnOA1qmbXEv8+IhZXMyLiIfJLzzOBHTqt2AjgdSU+uyHvIuBRYCdJo/tZ5qyazIDKSHoG+fXvUeDi5ahnOPJ4iRdV0myX7rNnif9WSbNdOkhZw3k08J2IuGgZor3axy8CXgDcGBH/Wg7depnRyvXCR0iaKGnXNmvo/Kx0ht2B9YFfAYslvUXS4cU2OzbI2y7d46MlPjkiqmtUbZNhjh1V8+IS39gm/6YSb9EBXUYabfs2IhaRo9irAJv1s8yd5Oj2RpKeCSBpdeD5wMMlv06T/V4ErAz8s+jRnzLDDkmrAPuVn9U/HrZLh5F0qKRJko6TdDHwFdJJPboiZrt0iPJs/A85Nf6IPsR7tY9H4t+uDUm7fBU4ntwr4iZJY2tyflY6w6tKPB+4Gvgd+X/W8cAfJM2UtH5F3nbpApJWAz4APAH8qJZtmwxz7KiatUo8r01+K33tDugy0hhI3/a3zFq1eCjqGO42PxrYGpgeEedU0m2XznMo8CXgYGAM+eFgj4i4tyJju3SOLwIvByZExGN9yPZqH480u/wE2I10VlcnpzL+kFzjdpak7SqyflY6wwYlPoychrkzuSRqW+D35JT5Myrytkt3eA+p+9kRcWstzzYZ5thRNcaMOCR9Cvg0uZPevl1WZ4UnIjaMCJEv4e8kv15fLekV3dVsxUPSa8hR1G9FxGXd1sckEXFURFwQEXdHxKMR8feIOJDc1HA1cg2x6Sytd+RF5AY9l0TEwxFxDfAOcj3k2DbTgE3naE37/WFXtTBDgh1VU/8yVKeV/kAHdBlpDKRv+1tmXi0eijqGpc0lfQL4DnAduUnB/TUR26VLlJfwacAewHrkhhEtbJchpkz5PYWc0nZkP4v1ah+PGLv0wYkl3qWS5melM7T0vDoiZlUzIuJR8sQEgFeX2HbpMJK2Itd63gZMbxCxTYY5dlTNDSVuNw9+8xK3Wwdk2tO2b8sL46bkl9p/9rPMc8kpYbeVP5JExCPkeZRrlPw6Tfa7hVzLsVnRoz9lhgWSDibP6vw76aTe1SBmu3SZiJhNfkjYStKzS7LtMvSsQfbVS4D5kqIVyKnZACeVtOPL717t4xXlb1drevzqlTQ/K52h1WftnIW5JV6tJm+7dI52myi1sE2GOXZUzYUl3kPSU+4HSWsCryV3Jbu804qNAC4o8Rsb8nYhd1P+Q0Qs6GeZN9VkBlQmIuaT54c9k1xz0996ehpJh5OHbP+FdFLvaSNqu/QGzytx6+XCdhl6FpAHyjeFq4vMJeV3a1pwr/bxLeRmUFtI2nQ5dBtutHbcr75I+1npDOeTa1NfWn8/Kmxd4tau07ZLByk75+5L/g05uY2YbTLc6fb5OA7dD+T0lQA+WUv/dkk/sds69mKg73NUn0V+DV+eg6Y3pXcOmn5Wt/t4OWxxZGnPlcC6fcjaLp2xyRbAWg3pK5G7mgZwqe3SG4H256j2bB8DnytlzqByDjgwvqRfS+188F4M5Aj3UmeVl/66qbTliEq6n5XO2ebM0p5Daul7kGcQz6X8P2e7dNw2+5Y2/XYZMrbJMA9dV8Ch+4HcJvvu8sD8Gvg6+RUnyCkQ63Vbx14JwNuBKSWcXfrolkrasQ3yi4CHyW3Tv0Fu8NN6uVJDHZ8s+XOA75OjhLeWtGPb6PWtkn9rkf9+KR/AJxrkVeoP4B9Fr5OLnouA8d3u6+Wwyf6lHYtK2yc1hAm2S8ftcjDwGHAuMLn8v/Lj8rwEcCfwUtulNwJtHNVe7mNgNPmSF8AV5E7fp5LnJz8CvKbb/bocff8Q8H/ACcAxwC/L8xMlfZSfla7YZiNy5D6A84BvFtssKvfZu2yXrtnm4tKePfuQs02Gcei6Ag69EYCNye3x7wQWArPJs8LW6bZuvRRY8jLXLsxqKPNacpH/XPLF4xrgEGDlZdSzJzCTfHl5hHwJ278P3SYUuUdKuZnAW5chv0rR45qi19yi507d7udBtkkAM2yXjttla+B75FTsOeUP77zSF5NoM/Jtu3TNXq3naClHtZf7mJw692Vy5HEBOXpyBrWPIL0cgLHAL8iX5wdIB+he8iPPfjS8SJdyflY6Y5/1yb0PZpPvR3OAacCrbZeu2eQlLHEK2/arbTL8g0pHGWOMMcYYY4wxPYE3UzLGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGOMMcYY01PYUTXGGGN6CEkzJEW39RgMJE2SFJLGDeI1R0m6SdL0wbpmJ5E0pfTJJr1Yh5K/Srp48DUzxpj+Y0fVGGNGKOVFtRoWSLpX0p8l/UjSmySt3G09Ryqlz2d0W4+hRNKE0s4JHaz2U8B/AF/oYJ0rDBERwBeBMZL26rY+xpgVl1W6rYAxxpgh56gSrwysDWwF7At8GLhS0j4RcWO3lDOmv0haHfg8cG5E/Lnb+oxUIuJMSf8AvippanFejTGmo9hRNcaYEU5ETKqnSXoO8F3g3cB5kraPiHs6rZsxy8n7yY8tU7qsx4rAT4Gjgd2A87qsizFmBcRTf40xZgUkIu4G3gfMADYGjqjLSNpc0imSbpe0UNId5ffmTdeUtLKkAyVdKmmepMck3VymGW9ekWu7fk7SuJI3qZY+o6SvKumLkm6RNF/SDZIOqMgdKOmaUvdtko6S1Pi3TtJrJP1S0l2lfbdK+qGk5zXItupfRdIRZY3kglLmGEmjKrITKmtMx9amX0+qX3t5kPQGSdMlzSn13yLpm5LWbpCdVcLqRebfpczNkg6XpIYykjRR0nWlf2+X9D1Ja7WuV+0T4Cfl509q7dyk4dp7SfqTpEcl3S/pNEnPX84u+DCwEPh1w/XXlHSkpL9LelDSQ6V/Tpf0yiKzZdHvwnYVlPvncUnPLb+fvCclbS/p7HJ/z5U0VdLGRW6z0qZ7y/13oaTtltGWlST9p6TrS1/fJuk4Sc9qo9crS333FDvOlnRCS8/+IOltks6XdGe5xh2SZko6qEH8tBJ/uL/XN8aYwcQjqsYYs4ISEYsl/RcwDthb0iGtKX6SXkWOoqwJ/Aa4DtgS+AAwXtLrI+KK1rWKo/Y7YHfgVuBU4EFgE+AdwCXATYOg9mnAa4DpwOPAXsBkSY8D2wL7Fz3OB95GrrV7FDimehFJHwImAwtK+24FNgc+AuwpaYeI+HdD/acCOwNnlfa9GfgMsAHwwSLzF3K69ZeA2Tx19G/GQBsu6UvAJOD+0sZ7SpsPBd4saceIeLBWbFXgHOB5RedFwNvJkbJnsGRaeIvvAx8H7iD7ZyHZj68u13q8IjsFeAAYD5xJtrvFA7XrHlSu8xtgJmnD9wLbSXpZRCzoR/vXArYHroiIR2t5As4GdgIuA35U2roRsCtwMXBVRFxfnNRdJW1Rn/IuaSdga2BqRNxZU+FVwOFF/5OAbYB3AltLGk/e49cDpwAvLHnnStosIh5uaNJxwC7A/5L99wbgYGBnSWMiYn5Fr7cCUwEBvyTvq1eSthpf5P/VR/99FPghcBfwW2AOed9uS967J1TlI2K2pNuB10uSp/8aYzpORDg4ODg4jMAABGVvlGXIjCadjwA2LWkC/lHS9qnJv7ekXw+sVEn/Wkn/DTC6oY71K7+nFNlNGvQZV/Im1dJnlPQrgLUr6ZuRztRc4F/A8yt5a5Mv4/cCq1TStyhlbq7Kl7zdgCeAaW3qvwpYt5K+ernOE8CGDf0/YwB2m1G3G+lsBfCHavtL3oSSd1wtfVZJnw6sVknfgHQkHwBWraTvXORvqPXxKOCikjerTd0T2rRlUsl/ENimlndqyXtPP/vljUX+uw1525S8aQ15KwHrVH7vVWSPbZBt3Zu7N9yTTc/DySX9fuDztbwjS97ENnXMAV5Y03NqyTuykr4GcF+5x3auXevwIv/7NnVsUkm7ivwws0FDu5/dps+nleu8dHnvYwcHB4enGzz11xhjVmAiR7LuKz/XL/FO5OjpZRHx85r86eTI0YuBMZBTfskRs8eAA6M2OhYRCyLi3kFS+bMR8eRoXUT8s+izNvCViLi9kvcAOXL0bKA6xfTj5OjgxKp8KXM+6WzvKWnNhvoPj4j7K/KPAD8nnYztn2bblsWnSnxAtf1FhynkaOY+7cpGxGMV+XvIEby1SDu22L/EX6318ULgc09Le/jviLimlnZSiV/dz2u8oMT1kc4qj9UTImJxRMytJP26XGOCpNGtxDJ9+j3ALTSvybyk/jyQ6zgB5pGj1FVOKfHL2uj6nYiYXdUTOAxYDHyoIjceWBc4PSLqR8Z8i/wgsbukF9A3i3jqqHir7jlt5O8qcX+ubYwxg4qn/hpjjGmtVWxN7XtFiS9oI38B6aS+nBxp25J0ev4YEXcMlZKFKxvSWnVe1ZDXckQ3IqdLAuxY4rFlinOdDcgdkrdouGZT/beWeJ0mhQeJHUkH492S3t2QPwpYX9J6EXFfJX1eRNzcIN+k88tLfEmD/OWkkzNQBqPf1ivx3Ia860hnfW9JLyQd8UuAK4uj/SQRsUjSSeS08HeRI7uQO2GvBkyOiKZprsu69/4SEU/U8qr3XhMz6wkR8U9JtwKbSFq7fDBo+zyWtlxETrF/OdA0Xb3Fz0nH9jpJp5X6L+3jI1Lro8yzlyFjjDFDgh1VY4xZgZH0DHK0BnKKLKTTCe1Hrlrpa9fi2xtkB5WImNeQ3HKglpW3aiWt5fAc1kd1azTUX197Wa1jKM+kXY/8m/2lPuRa00RbNOkLzTq37H53XTginpB0Xz19ORiMfmuNlj6jnlH0ex3pfO7FkjXJD0n6KfC5eOo60cnkMTcfY4mj+lFySvhPaGa57r3iRMJT770qS/Vz4S5yjetaZL8t7/PYSER8W9IccvbDp8j1sCFpJnBYRDQ54quVeKmRamOMGWo89dcYY1ZsxpAO0N0RMauktV66N2xT5rk1uZYT0t8dXBeXuOlj6TJftgeJlt5rRYSWEZYa8eoi84C5feir6lTSAdDaiOk59YwyvXu9enqHaR2f1KhHRMyNiEMiYmOWbIx1PfAJ4Ac12dvJKd67lJ2AW5soTRvEaep9sVQ/F1rP3bxa3N/nsS0RcUpE7ED24VvINba7AOdIWr+hSKuvfXSVMabj2FE1xpgVFOWxLZ8vP0+tZF1d4nFtiu5a4j+X+HrSWd1WDUe7NNCaurlxQ95QrvNscXmJdx7iehYzeKOslwPrSNpqkK7XRMvuYxrydqD5w0JruutQjia3+FuJt+xLMCJujoiTgbHAw+Q6zzqtXW4/Ro6mQu6K2ynG1hMkbUY+F7Mqo/dtn0dJq7DkPv5zPb8dEfFAREyPiAPIjZfWJR3WOluS93F9fbExxgw5dlSNMWYFRNIG5FEv48h1bV+rZF9K7vw6RtJetXJ7kS/GN1LWMpa1eSeQ0wRPrG5QU8qMqo3W/KnEB9TktgEmPq2G9Y/vkes9j5O0RT2z6DsYTux9NDvjA+G4Ep/U9DFAeVbqDk+zjtbmP58vR8G0rj2Kp94fVVrTgTux2c615PT0pdopadPi5NVZh9x1umnq6vnkfbw/uYnSDRHR9nzVIWBiWU8LPPnh6Jvku1l1+vGvybWiezfY+GBgU+C8aD5O6Ukk7VqO8amzQYnrR/6MJjeCurrNlHdjjBlSvEbVGGNGOJImlX+uRE6t3YocNRtFOo37VHf9jIiQtD9wLnC6pDPJUdMXk2dwPgTsV3YpbXEUeTbmnsCNkn5X5DYG9iDXg04psmeSZ6ruLWkj4I+ko9M6j/M9g9j8pYg8S/NDwI+BayWdTTosqxY9diYdoj5H7vrgfOB9kn5LjnY9DlwUERcNQOfzJX0W+Dpwk6Tp5HE8a5DrGceSHw7eOFBlI2KmpMnk6OK1kqYWnfckp5XewZJp2y0uIx2cgyWtx5JdYr/bZj3xgCn35TTgo5K2iohrK9nbAb+SdAV5tNId5C7W40m7HtPmeicC3y5JkwdT335wKfAXSaeT/fsGsh1XAd+o6PlwuV/PAGZKOoP8uPRK8tm6ixwV7otpwMOSLid3ChZ5r7+q1Fnf6Xgc+X/E1IE1zxhjnh52VI0xZuTT2oBnIek8ziZHz6aS5y/WnQ8i4o9lR9wvAK8nnZU5wC/IY2BuqMkvlPRG4EBgP3KUSqTDMI3KTrIRMV/SbsCxwO7ki/LfgfeTI0dD6qgWHX4m6a/Ap8mpzHsAjxR9fwmcPgjVTCR3Ut4NeDP5oeAocqfkgeh8jKRLyY1wxpBO2DxyE6vJPHX69kD5OPlR4mOkLe8j7XcEcBt5dEtVp7mS3kXeYxPIc2UBfkY/1kwOgBNIR3o/8gzRFleSx8OMJZ31dciPDVeRR+Oc1eZ6U8j7cCFLjprpFIcA7yBnFmxC9vV3gC9GxPyqYEScKem1pB3eQG6wdBdwIvk89me37c+Wsq8g78f55P8FhwM/iIj6sTX7k/1y8kAaZ4wxTxc178BujDHGGJNI2pwcdT4tIvbusi7nANsCm1XPhx3gtcYBFwI/i4h9B0G9EUFZGjALODUiPtJldYwxKyheo2qMMcYYACRtWNZKVtOeCRxffk7rvFZLcSg5rfegQbjWZ0r8vUG41kjiCHKjrCO7rYgxZsXFU3+NMcYY0+Jgcu3wDPJ8zg3JqcsbAWeR6yS7SkRcU9ZsrjmQ8mXTrreSazzfBPwuIv44iCoOa8qGS3cC+0ZEu7NbjTFmyPHUX2OMMcYAUNYOH0ru9rousIic8nsqcHzDOsZhh6QJ5K66DwLnAAdVNxMzxhjTG9hRNcYYY4wxxhjTU3iNqjHGGGOMMcaYnsKOqjHGGGOMMcaYnsKOqjHGGGOMMcaYnsKOqjHGGGOMMcaYnsKOqjHGGGOMMcaYnsKOqjHGGGOMMcaYnuL/AWynUOjWt9ckAAAAAElFTkSuQmCC\n", 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5zetxBvAyJj/p0sfa9cHANUl+nWRZksPX9MDtENs9aZL9OwFHA1cmuSLJNTR/cPgszbDQUTMCr855f07zWhWwB7CsfR2vpvlDxxdZ+T4Pe8Zj7zV5X/seLGuXqXrAZio0z438V+B37fGvpPkZeGe7/+h2Ep8Zqapf0STItwLPoPlcX0lzvR+geX7jSaOPMNE4O/s8jfDSNs6L2vhWAIfTfE87CXjvkDYfo3kkzCbAJ9o4V9AM938YU/+x4Ys096PvBFyc5NLe52MmwVbVWTQ97bcBewO/aT+bV7Hydf1Xmj+MSJJJpyTRTMt/l3a5M01vy4U0X+jfCOzYTkBy+agDVNUPgQfQfDn+RXvMW2juB3wd8Jiq+t8Rbb8N3Jfmger/1bbbFPgV8HngOUPafJHmS+q3aZLTDYAfAy+tqpeOd/mTVVXvAB5Kk5z9D83/NVvQJGdfA/4ReMKEz/lJmvtuf0jz+t0DuCe3f/TImhz/f2kS/BfQ9CJdBvSGQ/838GngeUz4S3Z7XU+k+QPICpoE42c0Q033YeVkMcN6PN9GM8zxfJok4J7tMokho5+jeb2PB34O3Ewz1PdSmp+b51TV34170Ko6Dng88BWaa9qY5noPpnl9x03qVyvOrj9PQ853Is39kV+hSbpvAf4TeBXw3PYPTYNtbgaeSjP0fxlNAngtzXDwR7btR53v8vZ8/07zWV7Iys/HTGP+KM19o5+jeT3vSPMZ/Qawd1X9bVWtrzP7ShqQ0Y9pkyRJ66p2gqBf0yRET66q02c3IkmShrOnU5KkuWkfmoTzapphlpIkrZM2nO0AJEnScO2kLH+kuZ/xkqq6rZ0hd1+aiXcA/qWqrh91DEmSZpvDayVJWkcl+SwrJ6C6ieaevQWsfL7iN4E9quqGWQhPkqQZsadTkqR117/QDJ/dBdiWJuFcTjM50GeBTw+bZEaSpHWJPZ2SJEmSpM7Y0zkh22yzTS1atGi2w5AkSZKkWXHOOedcXlULB8tNOidk0aJFLF26dLbDkCRJkqRZkeTXw8p9ZIokSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSerMhrMdgNZdJyW3296zapYikSRJkjRX2dMpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6Y9IpSZIkSeqMSackSZIkqTMmnZIkSZKkzph0SpIkSZI6s+FsB6B1x0nJbIcgSZIkaZ6xp1OSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHVmnU06k+yXpKZZbh3SbuckX02yPMn1Sc5PcnCSDaY41+5JTk+yIsk1SX6Q5EXdXqEkSZIkzX8bznYAU/gx8E8j9j0B2A04pb8wyZ7AicANwPHAcmAP4APA44G9Bw+U5CDgSOAK4LPATcAS4NgkD66q107iYiRJkiRpfbTOJp1V9WOaxHMVSc5u/3l0X9mWwDHArcCuVbW0LX8zcBqwJMk+VXVcX5tFwOE0yeniqlrWlr8N+BFwSJITq6p3PkmSJEnSGNbZ4bWjJHkw8FjgEuArfbuWAAuB43oJJ0BV3QC8qd18+cDhXgJsAhzVSzjbNlcC72o3XzbJ+CVJkiRpfTLnkk7gwHb98arqv6dzt3Z96pA2ZwDXATsn2WSGbU4ZqCNJkiRJGtOcSjqTbAb8Lc0Q2o8N7L5vu/7FYLuqugW4iGY48Y4zbHMpcC2wXZLN1yxySZIkSVo/zamkE3gesAA4tap+O7Bvq3a9YkTbXvmC1Wiz1Yj9kiRJkqQpzLWksze09qOzGkUryYFJliZZetlll812OJIkSZK0zpkzSWeSBwI7AxcDXx1SZbpeyV75VavRZmhPaFUdXVWLq2rxwoULRxxCkiRJktZfcybpZPQEQj0XtOudBnck2RDYAbgFuHCGbbYFtgAurqrrVjdoSZIkSVqfzYmkM8mmwAtpJhD6+Ihqp7XrZwzZ90Rgc+Csqrpxhm2eOVBHkiRJkjSmOZF0AnsDWwOnDJlAqOcE4HJgnySLe4VtwvqOdvPDA20+CdwIHJRkUV+brYFD282PrGnwkiRJkrS+2nC2A5ih3tDao0dVqKqrkxxAk3yenuQ4YDnwHJpHo5wAHD/Q5qIkrwOOAJYmOR64CVgCbAe8r6rOnvTFSJIkSdL6Yp1POpPcH9iF0RMI/UlVfSnJk4A3AnsBmwK/BF4DHFFVNaTNkUmWAa8F9qXp/f0Z8Kaq+tQEL0WSJEmS1jvrfNJZVT8HMkb97wHPGvMcJwMnjxmaJEmSJGkac+WeTkmSJEnSHGTSKUmSJEnqjEmnJEmSJKkzJp2SJEmSpM6s8xMJad1xUm4/n9Oeq04GLEmSJEm3Y0+nJEmSJKkzJp2SJEmSpM6YdEqSJEmSOmPSKUmSJEnqjEmnJEmSJKkzJp2SJEmSpM6YdEqSJEmSOmPSKUmSJEnqjEmnJEmSJKkzJp2SJEmSpM6YdEqSJEmSOmPSKUmSJEnqjEmnJEmSJKkzJp2SJEmSpM6YdEqSJEmSOmPSKUmSJEnqzIazHYBmz0nJbIcgSZIkaZ6zp1OSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHXGpFOSJEmS1BmTTkmSJElSZ0w6JUmSJEmdMemUJEmSJHVmTiSdSZ6S5ItJfp/kxiS/S/K1JM8aUnfnJF9NsjzJ9UnOT3Jwkg2mOP7uSU5PsiLJNUl+kORF3V6VJEmSJM1/63zSmeS9wDeBxcB/AO8DvgIsBHYdqLsncAbwROCLwFHAxsAHgONGHP8g4GTgQcBngWOAuwHHJjl84hckSZIkSeuRDWc7gKkkOQB4HfAp4MCqumlg/0Z9/96SJmG8Fdi1qpa25W8GTgOWJNmnqo7ra7MIOBxYDiyuqmVt+duAHwGHJDmxqs7u6holSZIkaT5bZ3s6k2wCvBP4DUMSToCqurlvcwlN7+dxvYSzrXMD8KZ28+UDh3gJsAlwVC/hbNtcCbyr3XzZml2JJEmSJK2/1uWezqfSJJEfBG5L8myaIbA3AD8c0vu4W7s+dcixzgCuA3ZOsklV3TiDNqcM1JEkSZIkjWldTjof1a5vAM6jSTj/JMkZwJKquqwtum+7/sXggarqliQXAQ8EdgR+PoM2lya5FtguyeZVdd2aXIwkSZIkrY/W2eG1wJ+369cBBTwB+DPgIcDXaSYL+kJf/a3a9YoRx+uVL1iNNlsN25nkwCRLkyy97LLLhlWRJEmSpPXaupx09mK7BXhOVZ1ZVddU1U+AvwIuBp6U5HGzFWBVHV1Vi6tq8cKFC2crDEmSJElaZ63LSedV7fq8/kl+ANqhrl9rNx/drqfslewrv6qvbKZtRvWESpIkSZKmsC4nnRe066tG7L+yXW82UH+nwYpJNgR2oOk1vXDIOYa12RbYArjY+zklSZIkafWsy0nnt2ju5XxAkmFx9iYWuqhdn9aunzGk7hOBzYGz+mauna7NMwfqSJIkSZLGtM4mnVX1a+BkYHvg1f37kjwNeDpNL2jvcScnAJcD+yRZ3Fd3U+Ad7eaHB07zSeBG4KAki/rabA0c2m5+ZM2vRpIkSZLWT+vyI1MAXgk8HHh/+5zO82iGyf4lcCuwf1WtAKiqq5McQJN8np7kOGA58ByaR6OcABzff/CquijJ64AjgKVJjgduApYA2wHvG/I8UEmSJEnSDK3TSWdVXZzkkcBbaJLHJwJX0/SAvruqfjhQ/0tJngS8EdgL2BT4JfAa4IiqqiHnODLJMuC1wL40vb8/A95UVZ/q6tokSZIkaX2QIXmYVsPixYtr6dKlsx3GWE5KJnasPf0cSZIkSeu1JOdU1eLB8nX2nk5JkiRJ0txn0ilJkiRJ6oxJpyRJkiSpMyadkiRJkqTOmHRKkiRJkjpj0ilJkiRJ6oxJpyRJkiSpMyadkiRJkqTOmHRKkiRJkjpj0ilJkiRJ6oxJpyRJkiSpMyadkiRJkqTOmHRKkiRJkjpj0ilJkiRJ6oxJpyRJkiSpMyadkiRJkqTObDjbAWh+OCm53faeVbMUiSRJkqR1yYx7OpNsneQBSTYZKH9xkpOSfC7JoycfoiRJkiRprhqnp/NdwN8Cf94rSPIq4INAr5vrL5MsrqqfTS5ESZIkSdJcNc49nY8HvlVV1/eVvRa4BHgi8Ly27DUTik2SJEmSNMeN09N5d+BbvY0kDwDuAby+qs5sy/amSUAlSZIkSRqrp3Mz4Ia+7ccDBXyzr+xXNMmpJEmSJEljJZ2XAPfr2346cDXwn31lWwP9w28lSZIkSeuxcYbXfht4UZKDaHo8nwOcWFW39dW5F/DbCcYnSZIkSZrDxunpfDdwDfAh4GiaxPOw3s4kWwK7AGdNMD5JkiRJ0hw2457OqrooyQOBJW3Rf1TVb/qq3Bv4KPD5CcYnSZIkSZrDxhleS1X9HjhqxL5zgXMnEZQkSZIkaX6Y8fDaJBcm+ftp6rwyyYVrHpYkSZIkaT4Y557ORcCCaeosAO652tFIkiRJkuaVcZLOmfgz4KYJH1OSJEmSNEdNeU9nku0HihYMKQPYANge2AtweK0kSZIkCZh+IqFlQPVtv7pdRgnwmjWMSZIkSZI0T0yXdH6aJukMsC9wPvDjIfVuBa4AvlVVX59ohJIkSZKkOWvKpLOq9uv9O8m+wBer6m1dByVJkiRJmh9m/JzOqpr0pEOSJEmSpHnORFKSJEmS1JkZ93QCJLkT8BLg0cDWNLPWDqqqesoEYpMkSZIkzXEzTjqT3A84HVhIM7HQKDXFPkmSJEnSemSc4bWHA38OvAfYEdioqu4wZBnW+ylJkiRJWg+NM7z2CcBXqurQroKRJEmSJM0v4/R0BvhZV4FIkiRJkuafcZLOc4D7dhWIJEmSJGn+GSfpfBvwrCS7dhSLJEmSJGmeGeeeznsAJwFfT/J5mp7Pq4ZVrKpPTyA2SZIkSdIcN07SeSzN41ACvLBdBh+PkrbMpFOSJEmSNFbS+eLOopAkSZIkzUszTjqr6lNdBiJJkiRJmn/GmUhIkiRJkqSxjDO8FoAkC4G9gPsDW1TV/n3lOwA/qarrJxqlJEmSJGlOGivpTPJS4AhgU1ZOGrR/u/suwNnAgcDHJxijJEmSJGmOmvHw2iRPBY4GfgH8FfDh/v1V9V/AT4G/nGSAmqyTkj8tkiRJktS1cXo6Xw9cCjypqq5O8vAhdc4HHjeRyCRJkiRJc944EwktBr5cVVdPUedi4K5rFpIkSZIkab4YJ+ncGLh2mjoLgFtXP5zbS7IsSY1Yfj+izc5JvppkeZLrk5yf5OAkG0xxnt2TnJ5kRZJrkvwgyYsmdR2SJEmStL4aZ3jtMuCR09R5DHDBakcz3Argg0PKrxksSLIncCJwA3A8sBzYA/gA8Hhg7yFtDgKOBK4APgvcBCwBjk3y4Kp67WQuQ5IkSZLWP+MknSvAaFIAACAASURBVCcB/5hk76r6wuDOJC8GHgK8cVLBta6qqsOmq5RkS+AYmp7WXatqaVv+ZuA0YEmSfarquL42i4DDaZLTxVW1rC1/G/Aj4JAkJ1bV2ZO8IEmSJElaX4wzvPa9wG+Azyc5nnbCoCQHtdtHA/9D02s4G5YAC4HjegknQFXdALyp3Xz5QJuXAJsAR/USzrbNlcC72s2XdRWwJEmSJM13M+7prKorkzwJ+DS3H6Z6RLv+LvA3VTXdfZ/j2iTJ3wLb09xTej5wRlUN3ju6W7s+dcgxzgCuA3ZOsklV3TiDNqcM1JEkSZIkjWmc4bVU1W+AXZM8hKan884091x+v6rO6SA+aGbD/cxA2UVJXlxV3+kru2+7/sXgAarqliQXAQ8EdgR+PoM2lya5FtguyeZVdd2aXIQkSZIkrY/GSjp7qup8mh7Hrn2Spgf1p8AfaRLGg4ADgVOSPK6q/rOtu1W7XjHiWL3yBX1lM2mzRVtvlaQzyYFtLGy//fbTXYskSZIkrXfGuadzrauqf6qq06rqD1V1XVX9V1W9DHg/sBlw2CzHd3RVLa6qxQsXLpzNUCRJkiRpnTR2T2eSPYCHAdsBGw2pUlX10jUNbBofAQ4BnthX1uut3GrV6rcrv2qgzTbtviumaDOqJ1SSJEmSNIUZJ51J7gmcTHNfZKaoWkDXSedl7XqLvrILgMXATsDt7i9NsiGwA3ALcOFAm23aNmcPtNm2Pf7F3s8pSZIkSatnnOG1RwAPornPclfgPjSJ3OCy42RDHOqx7bo/gTytXT9jSP0nApsDZ/XNXDtdm2cO1JEkSZIkjWmcpHM34GtVtX9VnVFVv6qqXw9bJhFYkvsn2WJI+SLgqHbzs327TgAuB/ZJsriv/qbAO9rNDw8c7pPAjcBB7XF7bbYGDm03P7K61yBJkiRJ67tx7um8GfhJV4EM8XzgkCRnAL+mmb32XsCzgU2BrwKH9ypX1dVJDqBJPk9PchywHHgOzaNRTgCO7z9BVV2U5HU0vbhLkxwP3AQsobln9X1Vdbtht5IkSZKkmRsn6fwezfDateXbNMniw4HH09xfeRVwJs1zOz9TVdXfoKq+lORJwBuBvWiS018CrwGOGKzftjkyyTLgtcC+NL2/PwPeVFWf6ubSJEmSJGn9ME7S+Rbgu0n2qarjugqop6q+A3xnNdp9D3jWmG1OppkkSZIkSZI0QTNOOqvqvCRPAb6S5O+Acxn+KJGqqrdPKkBJkiRJ0tw1ziNTtgLeBdwJeFK7DFOASackSZIkaazhtR8Angx8k+aeyt/RPPdSkiRJkqShxkk6d6d5zuXTugpGkiRJkjS/jPOczs2As7oKRJIkSZI0/4yTdJ4H7NhVIJIkSZKk+WecpPPtwB5JdukqGEmSJEnS/DLOPZ3bAl8GTkvyOeAchj8yhar69ARikyRJkiTNceMkncfSPA4lwL7tUgN10paZdEqSJEmSxko6X9xZFJIkSZKkeWnGSWdVfarLQCRJkiRJ8884EwlJkiRJkjQWk05JkiRJUmdmPLw2yYUzrFpVda/VjEeSJEmSNI+MM5HQHVh1tlqABcBW7b9/B9y8pkFJkiRJkuaHcSYSWjRqX5J7A0cAWwBPX/OwJEmSJEnzwUTu6ayqXwLPBe4OvHUSx5QkSZIkzX0Tm0ioqm4AvgH89aSOKUmSJEma28a5p3MmbgHuOuFjag46KZly/5417PZgSZIkSfPNxHo6k2wD/BXw20kdU5IkSZI0t43zyJS3THGMewB70sxi+4YJxCVJkiRJmgfGGV572DT7rwbeUVXvXf1wJEmSJEnzyThJ55NHlN8GXAn8d1XdsuYhSZIkSZLmi3Ge0/mdLgORJEmSJM0/E5tISJIkSZKkQTNOOpPsneS0JHcbsf/uSb6V5LmTC0+SJEmSNJeN09O5P7Cgqn43bGdVXUIze+3+kwhMkiRJkjT3jZN0PhhYOk2dHwEPWf1wJEmSJEnzyThJ552A/52mzhXANqsfjiRJkiRpPhkn6bwcuM80de4DXLX64UiSJEmS5pNxks7vAc9Jcr9hO5PcH9gT+O4kApMkSZIkzX3jJJ2H0zzX88wkf59kpyRbtOtX0ySbG7T1JEmSJEliw5lWrKofJXkF8P+AD7RLv1uBl1fVDyYYnyRJkiRpDptx0glQVcckORN4BfAYYAHNPZzfBz5cVT+ffIiSJEmSpLlqrKQToE0sX9VBLJIkSZKkeWacezolSZIkSRrL2D2dSR4L7A88nGZ47QrgHOCTVXXWZMOTJEmSJM1lYyWdSd4BvAHIwK6HAS9J8p6qOnRSwUmSJEmS5rYZD69NsjdwKPAbmp7OHYHN2vX+bfnrkzyvgzglSZIkSXPQOPd0vgr4A/CoqvpEVS2rqhvb9SeARwGXAa/sIlBJkiRJ0twzTtL5UOCEqrp82M62/As0Q20lSZIkSRor6dwQuG6aOtexGpMTSZIkSZLmp3GSzl8BuycZ2qYtf1ZbT5IkSZKksZLOzwH3B05Kcp/+HUnuBZwAPKCtJ0mSJEnSWENh3w88A3g28MwkvwMuBe4K3J0mgT2zrSdJkiRJ0sx7OqvqJuCpwBuBi4DtaGasvUe7/UbgKW09SZIkSZLGm/Snqm4G3g28O8kdga2AFVV1TRfBSZIkSZLmttWeabZNNE02JUmSJEkjjTORkCRJkiRJYxnZ05nkwtU8ZlXVvVazrSRJkiRpHplqeO0dgBoo2xjYtv33rcDlwDbABm3ZpYATCUmSJEmSgCmG11bVoqraobcADwUuAb4PPBnYtKq2BTYFdgN+AFwMPKT7sCVJkiRJc8E493S+E1gA7FpV36mqWwGq6taqOp0mEb1TW0+SJEmSpLGSzr8CThr1HM6qugE4CXjuJAIbJsnfJql22X9End2TnJ5kRZJrkvwgyYumOe6Lkvywrb+ibb97N1chSZIkSeuPcZLOOwMbTVNno7bexCW5B3AUUzymJclBwMnAg4DPAscAdwOOTXL4iDaHA8fS3Kt6TNvuwcDJ7fEkSZIkSatpnKTzV8CSJFsN25lka2AJsLqz3o6UJMAngSuAj4yoswg4HFgOLK6qV1bVP9DcY/or4JAkjxtoszNwSLv/IVX1D1X1SuCR7XEOb48rSZIkSVoN4ySdH6HpNfxhkn2TLEqyWbt+Ec1EQncF/l8Hcf49zWRFLwauHVHnJcAmwFFVtaxXWFVXAu9qN1820Ka3/c62Xq/NMprr2KQ9pyRJkiRpNcw46ayqo4AjgfvQ9Dr+imao66+ATwD3pkn4/mWSASa5P/DPwIeq6owpqu7Wrk8dsu+UgTpr0kaSJEmSNENTPadzFVX16iTH0fQqPhzYClgBnAscW1VnTTK4JBsCnwF+Axw6TfX7tutfDO6oqkuTXAtsl2TzqrouyRbA3YFrqurSIcf7n3a90+pFL0mSJEkaK+kEqKqzgbM7iGWYt9Akt7tU1fXT1O3da7pixP4VwBZtvetmWB+ax8QMleRA4ECA7bfffprw1O+k5Hbbe1bNUiSSJEmSujTOPZ1rVZLH0PRuvq9NdNc5VXV0VS2uqsULFy6c7XAkSZIkaZ2zTiad7bDaT9MMlX3zDJv1eiaHzq7Lqj2bM61/1QzPL0mSJEkasE4mncAdae6lvD9wQ5LqLcBb2zrHtGUfbLcvaNer3IOZZFuaobUXV9V1AFV1LXAJcMd2/6D7tOtV7hGVJEmSJM3M2Pd0riU3Ah8fse8RNPd5nkmTaPaG3p4GPB54Bqvec/rMvjr9TgNe2Lb55AzbSJIkSZJmKDXHJnBJchhNb+cBVfWxvvIdgJ/TPMfzkb1ndSbZGvgRcC9g5/77Q5PsDHyP5rEvj+o9qzPJIuAcmt7R+/U/93OUxYsX19KlS9f4+ro2OIHPusKJhCRJkqS5Lck5VbV4sHxd7ekcW1VdlOR1wBHA0iTHAzcBS4DtGDIhUVWdleT9wGuA85OcAGwMPB+4E/CqmSSckiRJkqThRt7TmWR5kn/s235LkieunbBWT1UdCTwH+CmwL83jTH4P7FdVrx3R5hDgxW29A9t2PwX2qKqj1kbckiRJkjRfTdXTuQDYtG/7sHY5o8N4plVVvThG7T8ZOHnMYx4LHLsGYUmSJEmShphq9to/0AxLlSRJkiRptUzV0/l94IVJbgUubct2zfQT0VRVvX0SwUmSJEmS5rapks7X0Tzz8u/6ynZtl6kUYNIpSZIkSRqddFbVL5M8GNgBuDtwOs19j59aK5FJkiRJkua8KR+ZUlW30TzD8lftsNplVfWdtRGYJEmSJGnum/FzOqtqqkmHJEmSJElaxYyTzn5JtgMeTvNYlRXAuVV18SQDkyRJkiTNfWMlnUnuCXwUeOqQfd8AXlZVyyYTmiRJkiRprptx0pnkrsCZNJMKLQPOoHmUyrbAE4CnAWcmWVxVv598qJIkSZKkuWacns430yScrwfeX1W39nYk2QD4B+C9wJuAgyYZpCRJkiRpbhpncqBnA1+vqv/bn3ACVNWtVXU48HVg90kGKEmSJEmau8ZJOu8KnDNNnXPaepIkSZIkjTW8dgVwz2nqbN/Wk8ZyUvMcWAD2rJrFSCRJkiRN0jg9nWcCS5LsPGxnkscAe7f1JEmSJEkaq6fznTT3dX4nyXHAt2lmr70rsCvw18BtwLsmHKMkSZIkaY6acdJZVecmWQJ8CngB8Dd9uwMsB15SVdPd9ylJkiRJWk+M09NJVX05yfbAnsAjgK1o7uE8D/hSVV07+RAlSZIkSXPVWEknQJtYfq5dJEmSJEkaaZyJhCRJkiRJGotJpyRJkiSpMyadkiRJkqTOmHRKkiRJkjpj0ilJkiRJ6oxJpyRJkiSpMzNOOpOcluTtXQYjSZIkSZpfxunpfCywQVeBSJIkSZLmn3GSzv8B7tFVIJIkSZKk+WecpPNjwLOTbN9VMJIkSZKk+WXDMeqeDDwV+F6S9wA/An4P1GDFqvrNZMKTJEmSJM1l4ySdF9IkmAE+NEW9GvO4kiRJkqR5apzk8NMM6dWUJEmSJGmUGSedVbVfh3FIkiRJkuahcSYSkiRJkiRpLKt172WS+wH3B+5YVZ+ZbEiSJEmSpPlirJ7OJA9LshT4KXACcGzfvicluS7JHpMNUZIkSZI0V8046UyyE3A6cF+a2WtPGahyBrAcWDKp4CRJkiRJc9s4PZ1vBTYGHlNVr6F5TuefVFUBZwOPmlx4kiRJkqS5bJyk8ynAv1fVz6ao81vgbmsWkiRJkiRpvhhnIqGtgYunqROa3lBpYk5Kbre9Z/m4WEmSJGmuGKen8w/Avaep80Ca3k5JkiRJksZKOk8D9khy32E7kzyKZgju1yYRmCRJkiRp7hsn6Xw3cAtwRpKX0967meSB7fbJwB+BwycepSRJkiRpTprxPZ1VdUGSvYDPA0e1xQHOb9dXAc+tqt9MPEqtVwbv4ZQkSZI0d40zkRBVdWqSHYAXAY8F7gysAL4PfLKqlk8+REmSJEnSXDVW0glQVVcBH2oXSZIkSZJGGueeTkmSJEmSxjJ20pnkBUm+lWR5klva9beSvKCLACVJkiRJc9eMh9cm2Qg4AdidZuKgW4HLgG2AJwO7JnkesKSqbu4gVkmSJEnSHDNOT+cbgD2AH9AkmZtW1bbApsBuwA9pEtLXTzpISZIkSdLcNE7SuS/wS2DXqvpOVd0KUFW3VtXpwK7AhcB+E45RkiRJkjRHjZN0bgecVFU3DdtZVTcCJwF3n0RgkiRJkqS5b5yk83fARtPU2aitJ0mSJEnSWEnn54AlSbYctjPJAmAJ8K+TCEySJEmSNPeNk3S+DVgK/DDJ3yTZLslG7foFwPdpJhN6+6SCS/Ke9nEsv01yfft4lvOSvDXJnUe02TnJV9u61yc5P8nBSTaY4jy7Jzk9yYok1yT5QZIXTeo6JEmSJGl9NfKRKUluA2rYLuAzI8rvA1w/1XHH9A/AucA3gP8FtgAeCxwGHJjksVX1276Y9wROBG4AjgeW08y4+wHg8cDeqwSdHAQcCVwBfBa4iabH9tgkD66q107oWiRJkiRpvTNVcngGw5POtWnLqrphsDDJO4FDaR7j8oq2bEvgGJrnh+5aVUvb8jcDp9EMDd6nqo7rO84i4HCa5HRxVS1ry98G/Ag4JMmJVXV2VxfYtZOS2Q5BkiRJ0npsZNJZVbuuxThGxbBKwtn6N5qk8z59ZUuAhcCnewln7xhJ3gR8C3g5cFxfm5cAmwDv6SWcbZsrk7wL+DjwMmDOJp2SJEmSNJvGuadzXbJHuz6/r2y3dn3qkPpnANcBOyfZZIZtThmoI0mSJEka06TuvexUktcCdwS2AhYDu9AknP/cV+2+7foXg+2r6pYkFwEPBHYEfj6DNpcmuRbYLsnmVXXdJK5FkiRJktYnYyedSfYAHgZsx/DndlZVvXRNAxvwWuAufdunAvtV1WV9ZVu16xUjjtErXzBmmy3aeqsknUkOBA4E2H777UfFLkmSJEnrrRknnUnuCZxM01s41ew0BUw06ayqu7Yx3AXYmaaH87wku1fVuZM815hxHQ0cDbB48eLZnnRJkiRJktY54/R0HgE8CPgE8GngEuCWLoIapar+AHwxybk0Q2I/3cYEK3srtxrWtq/8qr6yFcA27b4rpmgzqidUkiRJkjSFcZLO3YCvVdX+XQUzU1X16yQ/Ax6WZJuquhy4gOZ+z52Ac/rrJ9kQ2IEmSb6wb9cFNEnnTgzMUJtkW5qhtRd7P6ckSZIkrZ5xZq+9GfhJV4Gshru161vb9Wnt+hlD6j4R2Bw4q6pu7Cufqs0zB+pIkiRJksY0TtL5PVYOZe1ckp2SrDJUNskdkrwT+HOaJPLKdtcJwOXAPkkW99XfFHhHu/nhgcN9ErgROCjJor42W9M8BxTgI2t+NZIkSZK0fhpneO1bgO8m2aeqjusqoD7PAt6d5EzgIpp7Lu8CPInmsSe/Bw7oVa6qq5McQJN8np7kOGA58ByaR6OcABzff4KquijJ62juV12a5HjgJmAJzey876uq2w27lSRJkiTN3IyTzqo6L8lTgK8k+TvgXIZPsFNV9fYJxPZN4N40z+R8OM2jTq6lmUDoM8ARVbV84MRfSvIk4I3AXsCmwC+B17T1V5lhtqqOTLKM5rEs+9L0/v4MeFNVfWoC1yFJkiRJ660MycOGV2yGuv478ORpqlZVbbCmgc01ixcvrqVLl852GKs4KVM93WZu2nOGn1lJkiRJa0+Sc6pq8WD5OMNrP0CTcH6Tpqfxd6zlR6ZIkiRJkuaWcZLO3Wkm7nlaV8FIkiRJkuaXcWav3Qw4q6tAJEmSJEnzzzhJ53k0s8ZKkiRJkjQj4ySdbwf2SLJLV8FIkiRJkuaXce7p3Bb4MnBaks8B5zD8kSlU1acnEJskSZIkaY4bJ+k8FiggNM+z3Lfd7pe2zKRTkiRJkjRW0vnizqKQJEmSJP3/9u48Xq6yPvz45yurRAiLQVDQAIK2ikuNC8GFxSpaIS5BpYrgDq0IKFZFrMFaWuuCAirFLW2pQoWfRtq4NRBRQCRad9mJgoAsYZEtYfn+/njOwGQyc++de+fcmTvzeb9e8zp3zjnPmeecZ87c+c6zDaUJB52Z+W91ZkSaqCURaz1fkK0V7pIkSZIGRTcDCUmSJEmS1BWDTkmSJElSbSbcvDYirpzgrpmZO00yP5IkSZKkIdLNQEIPY93RagE2B2ZXf18L3DvVTEmSJEmShkM3AwnN7bQtIh4PnADMAl489WxJkiRJkoZBT/p0ZublwCuBxwAf6sUxJUmSJEkzX88GEsrMe4DvAQf06piSJEmSpJmt16PX3gds0+NjSpIkSZJmqJ4FnRHxSOAVwNW9OqYkSZIkaWbrZsqUvx/jGNsDCyij2L6/B/mSJEmSJA2BbqZMWTTO9tuBj2Tmv0w+O5IkSZKkYdJN0Llnh/UPALcAF2fmfVPPkiRJkiRpWHQzT+f368yIJEmSJGn49Hr0WkmSJEmSHjRmTWdETCoozcwHJpcdSZIkSdIwGa957b2TOGZO4LiSJEmSpBEwXnB4NSWInIhHAFtNLTuSJEmSpGEyZtCZmXPHO0BEbAAcBnygWrVyyrmSJEmSJA2FKQ0kFBH7A78FPgYE8HfAn/UgX5IkSZKkITCpvpcRMR/4OPBs4D7gBODDmXlLD/MmTcqSiAf/XpATbR0uSZIkqQ5dBZ0RsRPwUeAVlJrNM4D3Z+YVNeRNkiRJkjTDTSjojIgtgQ8Bbwc2BC4A3p2ZP6oxb5IkSZKkGW68eTo3BI4A3gdsDlwBvC8zz5yGvEmSJEmSZrjxajovAR4LrKIEn5/JzPtrz5UkSZIkaSiMF3Q+jjJPZwBHAUdF0yAtHWRmPq4HeZMkSZIkzXAT6dMZwJbVQ5IkSZKkCRsz6MzMKc3jKUmSJEkabQaVkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTaDGzQGRFbRcRbIuLrEXF5RNwdEbdFxA8j4s0R0TbvETE/IpZGxKoqzS8i4oiIWG+M13pZRCyvjn9HRFwYEQfVd3aSJEmSNBrW73cGxrA/8DngOuAc4PfAo4BXAl8AXhIR+2dmNhJExALgTOAe4HRgFbAvcDywe3XMtUTEO4ATgZuBU4E1wEJgcUTsmplH1XWCkiRJkjTsoilmGygRsRcwC/ifzHygaf02wI+B7YGFmXlmtX4z4HJgNrB7Zq6o1m8MnA3sBhyQmac1HWsucDFwJ/CMzFxZrd8CuAjYCZifmReMl9958+blihUrpnbSNVgS0e8s9NWCAX1/S5IkScMmIn6SmfNa1w9s89rMPDszz2oOOKv11wMnV0/3aNq0EJgDnNYIOKv97wGOqZ4e2vIybwI2Ak5qBJxVmluA46qnh0ztTCRJkiRpdA1s0DmOe6vlfU3r9qqW326z/7nAXcD8iNhogmm+1bKPJEmSJKlLMy7ojIj1gTdUT5uDxSdUy0tb02TmfcBVlD6sO04wzXWUZrfbRcQmU8y2JEmSJI2kQR5IqJN/Bp4MLM3M7zStn10tb+uQrrF+8y7TzKr2u6v7rKrfWvu02sdTkiRJml4zqqYzIt4JvJsy+M+Bfc4OEfG2iFgREStuvPHGfmdHkiRJkgbOjAk6q6lNPg38BtgzM1e17NKorZxNe431t04iTdua0Mw8JTPnZea8OXPmdMy7JEmSJI2qGRF0RsQRlLk0f0UJOK9vs9sl1XKXNunXB3agDDx05QTTbEtpWntNZtq0VpIkSZImYeCDzoh4L3A88DNKwHlDh13Prpb7tNn2fGAT4PzMXD3BNC9p2UeSJEmS1KWBDjoj4oOUgYN+AuydmTeNsfsZwE3AayPiwQlJI2Jj4CPV08+1pPkysBp4R0TMbUqzBXB09fRkJEmSJEmTMrCj10bEQcCHgfuBHwDvjJaRSIGVmbkYIDNvj4i3UoLP5RFxGrAK2I8yNcoZwOnNiTPzqoh4D3ACsCIiTgfWAAuB7YBPZOYF9ZyhJEmSJA2/gQ06KX0wAdYDjuiwz/eBxY0nmfmNiHgB8AHgVcDGwOXAu4ATMtedLyMzT4yIlcBRlPk/H0YZrOiYzPy3npyJJEmSJI2ogQ06M3MRsGgS6c4DXtplmrOAs7p9LUmSJEnS2Aa6T6ckSZIkaWYz6JQkSZIk1cagU5IkSZJUG4NOSZIkSVJtDDolSZIkSbUx6JQkSZIk1WZgp0yR6rAkYq3nC9adulWSJElSD1nTKUmSJEmqjUGnJEmSJKk2Bp2SJEmSpNoYdEqSJEmSamPQKUmSJEmqjUGnJEmSJKk2Bp2SJEmSpNoYdEqSJEmSamPQKUmSJEmqjUGnJEmSJKk2Bp2SJEmSpNoYdEqSJEmSarN+vzMg9dOSiLWeL8jsU04kSZKk4WRNpyRJkiSpNgadkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTarN/vDEiDZEnEWs8XZE5omyRJkqT2rOmUJEmSJNXGmk5pDK21m5IkSZK6Y02nJEmSJKk2Bp2SJEmSpNoYdEqSJEmSamPQKUmSJEmqjUGnJEmSJKk2Bp2SJEmSpNoYdEqSJEmSamPQKUmSJEmqjUGnJEmSJKk2Bp2SJEmSpNoYdEqSJEmSamPQKUmSJEmqjUGnJEmSJKk2Bp2SJEmSpNoYdEqSJEmSamPQKUmSJEmqzfr9zoA0LJZErPV8QWafciJJkiQNDms6JUmSJEm1MeiUJEmSJNXG5rXSJLU2p5UkSZK0roGt6YyIhRFxYkT8ICJuj4iMiFPHSTM/IpZGxKqIuDsifhERR0TEemOkeVlELI+I2yLijoi4MCIO6v0ZSZIkSdLoGeSazmOApwJ3ANcATxxr54hYAJwJ3AOcDqwC9gWOB3YH9m+T5h3AicDNwKnAGmAhsDgids3Mo3p1MpIkSZI0iga2phM4EtgF2Aw4dKwdI2Iz4PPA/cAemfnmzHwP8DTgAmBhRLy2Jc1c4OOU4HReZv5tZh4JPAW4Anh3ROzW0zOSJEmSpBEzsEFnZp6TmZdlTmjeiYXAHOC0zFzRdIx7KDWmsG7g+iZgI+CkzFzZlOYW4Ljq6SGTzL60jiURDz4kSZKkUTGwQWeX9qqW326z7VzgLmB+RGw0wTTfatlHkiRJkjQJwxJ0PqFaXtq6ITPvA66i9F/dcYJprgPuBLaLiE16m1VJkiRJGh3DEnTOrpa3ddjeWL/5JNLM7rBdkiRJkjSOYQk6+yIi3hYRKyJixY033tjvH71UdwAAH1JJREFU7EiSJEnSwBmWoHO8WsnG+lsnkaZTTSiZeUpmzsvMeXPmzJlQRiVJkiRplAzyPJ3duASYR5li5SfNGyJifWAH4D7gypY0j6zSXNCSZltgFnBNZt5VX7Y1zBylVpIkSRqems6zq+U+bbY9H9gEOD8zV08wzUta9pEkSZIkTcKwBJ1nADcBr42IeY2VEbEx8JHq6eda0nwZWA28IyLmNqXZAji6enpyTfnViGues9MaUUmSJA2zgW1eGxEvB15ePd2mWu4WEYurv2/KzKMAMvP2iHgrJfhcHhGnAauA/ShTo5wBnN58/My8KiLeA5wArIiI04E1wEJgO+ATmblWs1tJkiRJUncGNugEngYc1LJuRx6aa/N3wFGNDZn5jYh4AfAB4FXAxsDlwLuAEzIzW18gM0+MiJXVcd5Aqfn9DXBMZv5bT89GkiRJkkbQwAadmbkIWNRlmvOAl3aZ5izgrG7SSJIkSZImZlj6dEqSJEmSBpBBpyRJkiSpNgadkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTaGHRKkiRJkmpj0ClJkiRJqs36/c6ApHUtiVjr+YLMPuVEkiRJmhprOiVJkiRJtTHolCRJkiTVxqBTkiRJklQbg05JkiRJUm0MOiVJkiRJtTHolCRJkiTVxilTpAHQOkXKeNudQkWSJEkzhTWdkiRJkqTaGHRKkiRJkmpj0ClJkiRJqo1BpyRJkiSpNgadkiRJkqTaOHqtNAM1j2brSLaSJEkaZNZ0SpIkSZJqY02nNGKc81OSJEnTyaBTGnKtQaYkSZI0nQw6pRluqjWX1nxKkiSpTvbplCRJkiTVxqBTkiRJklQbg05JkiRJUm0MOiVJkiRJtTHolCRJkiTVxtFrpSHjFCmSJEkaJAadkjrq5XQsTsUiSZI0mgw6Ja3FmlJJkiT1kkGnpAkbLyC1NlOSJEmtDDol9Yy1pJIkSWrl6LWSJEmSpNoYdEqSJEmSamPzWkkDYaoj5UqSJGkwWdMpSZIkSaqNNZ2S+sJBhyRJkkaDNZ2SJEmSpNpY0ylpINnHU5IkaThY0ylJkiRJqo01nZKmxVT7cDan72WtpzWqkiRJ9TLolKQx9DIoNcCVJEmjyOa1kiRJkqTaWNMpSTWZzmlhrEWVJEmDyqBTkqagrr6mkiRJw8KgU9KM022tXjf7T2ft5FgGqebSwFrj8T0iSRqLQaekGW86A7RBDUq72XdQAlgwQJEkaRQYdEoaOv0KDHs5LUyvjz0TjBeQGrBKkjQzGXQCEbEd8GFgH2Ar4DrgG8CxmXlLP/MmqfdGIYCTJEkaFCMfdEbETsD5wNbAEuBi4FnA4cA+EbF7Zt7cxyxK0sCYan/aOo31WuPVmo7FGldJkqZm5INO4LOUgPOdmXliY2VEfBI4EvhH4JA+5U3SELPGVdPJYFmS1C+RI/xPp6rlvBxYCeyUmQ80bduU0sw2gK0z886xjjVv3rxcsWJFjbmdHL/UStLUajqneuypjJY81rG7DRq7qQnu1iiMXmvQPjNYTlJ/RcRPMnNe6/pRr+ncs1p+tzngBMjMP0XEecCLgOcAy6Y7c5IkddJtwNrNseoM0rt97X4daxR4verjtZXWNupB5xOq5aUdtl9GCTp3waBTkmasfrb6qKt2clDTTtVU+tuOdaw6++Z2e726qf3uZX/kOtX5w8V0/Qgy1ffETJ3KqhtT6Tvfy3twOu+DQWnJMVPfMw2jHnTOrpa3ddjeWL/5NORFkjQDTeWL5jAalMGj6j52L1+7rumSuk071pfafg4iNij3TZ1BUjfXvlWdP0z0qxzrfN2pnPNUy2Iq5TrTjXrQOSUR8TbgbdXTOyLikn7mp41HAjf1OxOaEMtqZrCcZg7LamaYvnIa70vsdAY2AxJEjWvtfK5dVjPzHHqbts5r0M2xxyqnXr5O3cearvdUP8vtoe3jl9MgfWZ153HtVo560NmoyZzdYXtj/a3tNmbmKcApvc5Ur0TEinYdeTV4LKuZwXKaOSyrmcFymjksq5nBcpoZRrGcHtbvDPRZo2Zylw7bd66Wnfp8SpIkSZLGMOpB5znV8kURsda1qKZM2R24C/jRdGdMkiRJkobBSAedmXkF8F1gLvC3LZuPBWYB/zHeHJ0DbGCb/modltXMYDnNHJbVzGA5zRyW1cxgOc0MI1dOkUM2MlK3ImIn4Hxga2AJ8Fvg2ZQ5PC8F5mfmzf3LoSRJkiTNXCMfdAJExPbAh4F9gK2A64CvA8dm5i39zJskSZIkzWQGnZIkSZKk2ox0n85hFBHbRcSXIuLaiFgdESsj4lMRsUW/8zaMImKriHhLRHw9Ii6PiLsj4raI+GFEvLnNAFVzIyLHeJw2xmsdFBE/jog7qtdYHhEvq/8sh0N1L3S67td3SDM/IpZGxKqqbH8REUdExHpjvM7LqrK5rSqrCyPioPrObLhExMHj3CMZEfc37e89VbOIWBgRJ0bEDyLi9uq6njpOmmm5dyzDh3RTThGxc0S8NyLOjoirI2JNRPwxIpZExJ4d0ox3bx7SId3DI+LYiLgkIu6JiBsi4r8i4s96ef4zSZdlNW2fcRGxXkQcWd2vd1f379KImN+L855puiynxRP437WsJc1I3VOjPk/nUIl1+6deDDwLOBzYJyJ2t39qz+0PfI7SJPsc4PfAo4BXAl8AXhIR++e6TQp+DnyjzfF+1e5FIuLjwLuBa4DPAxsCrwXOiojDMvOkHpzLKLgN+FSb9Xe0roiIBcCZwD3A6cAqYF/geMrI1vu3SfMO4ETgZuBUYA2wEFgcEbtm5lG9OY2h9jPKQG7tPA/YC/hWm23eU/U5Bngq5T65BnjiWDtP171jGa6jm3L6B+A1wG+ApZQyegKwH7BfRByemSd0SLuEcp+2WtG6IiI2Ar5HKfcVwKeB7Snvgb+KiL0y88LxT23odHVPVWr9jIuIAE6j3HeXACcBW1LeJ+dGxKsyc8kE8jlMuimnbwArO2w7ENiR9v+7YFTuqcz0MSQP4DtAAoe1rP9ktf7kfudx2B6UL8D7Ag9rWb8NJQBN4FVN6+dW6xZ38RrzqzSXA1u0HOtmyhe7uf2+FoP+oPwzWDnBfTcDbgBWA/Oa1m9M+WEngde2pJlblcXNzeUBbFGVXQK79fs6zOQHcEF1Hfdrue7eU/Ve9z0p81YHsEd17U7tsO+03DuW4ZTL6WDg6W3Wv4AS8K8Gtm2TJoGDu8jT+6s0X6Pp/ySwoFr/a1r+f47Co8uympbPOOCAKs15wMZN659ZvR9uADbt97Ub1HIa4xibU6ZfXA08smXbSN1TNq8dElUt54soX6w/07L5Q8CdwIERMWuaszbUMvPszDwrMx9oWX89cHL1dI8pvkyjecU/ZtPAVpm5klLWGwFvnOJraG0LgTnAaZn54C+NmXkP5ZdPgENb0ryJUhYnVWXTSHMLcFz1tG1TGY0vInYFngP8AfifKR7Oe6oLmXlOZl6W1TebcUzXvWMZtuimnDJzcWb+X5v13weWU2rFptSksqo5a5TT3zX/n8xSY/YD4M8pge5I6fKemozJ3B+N+/KY6n5tpLmI0mJhDuX+Hhk9KqcDgYcD/y8zb5pKfmb6PWXQOTwafTC+2yYA+hPll6tNKF/aND3urZb3tdn26Ih4e0QcXS2fMsZx9qqW326z7Vst+2hsG0XE66vrfnhE7Bnt+5iNdc3PpfxqOb9q5jKRNJbT1L2tWn4xM+9vs917ajBM171jGdZnrP9dAE+L0j/3fRFxYERs12G/nYDHApdm5lVttltO3antMy4iNqb8yHAXJXAZN40m7K3Vcqx5OUfinrJP5/B4QrW8tMP2yyg1obsAyzrsox6JiPWBN1RP233o/2X1aE6zHDgoM3/ftG4W8Bjgjsy8rs1xLquWu0w1zyNiG+A/WtZdFRFvrH7hb+h4P2XmfRFxFfAkSh+N304gzXURcSewXURskpl3TeUkRk1EPBx4PXA/pa90O95Tg6H2e8cyrE9EPA7YmxJ8nNtht8Nbnt8fEV8AjmiuIWNi30vAcpqoOj/jdgLWA67MzHY/NlhWkxARuwG7UoLEc8bYdSTuKWs6h8fsanlbh+2N9ZtPQ14E/ww8GViamd9pWn8XZQCHZ1D6K21BaQZxDqUZ7rKWJtCWa+98mfJlahtgFuUfwb9S+rh8KyKe2rTvZK77RNPM7rBdnb2acq2/nZlXt2zznhos03HvWIY1qGqf/5PS9HJRrjtP+VXAYZQvvrOAR1PuzZXA24EvtexvOfXGdHzGWVb1aLTQ+XyH7SN1Txl0Sj0WEe+kjBh3MaUt/4My84bM/PvM/Glm3lo9zqXUQl8IPB54y7RnegRk5rFVH9w/ZuZdmfmrzDyEMtDWw4FF/c2hxtD4x/2vrRu8p6Spq7oZ/AdlRMzTgY+37pOZ38/MkzLz0uoz9LrM/Bqle88twAEtP96pB/yMm5kiYjYlgFwDLG63z6jdUwadw2O8WpTG+lunIS8jqxr2/9OUYej3zMxVE0lXNWdpNBt8ftMmy7V+jQGfpnrdJ5qm0y+UaiMinkTpa3QNZWqHCfGe6pvpuHcswx6qAs5TKVMu/Bfw+m4GTqlaHzTuTe+1adLjzzjLqvdeTxlLpesBhIb1njLoHB6XVMtO7bh3rpad2oFriiLiCMo8c7+iBJzXd3mIG6vlg81kMvNOymidj4iIbduksVynbp3rzhj3U9VfdwfKIBtXTjDNttXxr7E/Z9fGG0BoLN5T06/2e8cy7J2I2AD4KmX+xq8Af92hT994uvocrVhOU9erz7grKH3md6zu04mk0dgaAwit00JngobunjLoHB6NDsovioi1yjUiNqU0mbkL+NF0Z2wURMR7KROf/4wScN4wicM0Rha+smX92dVynzZpXtKyj7rX7rqPdc2fT/n18vzMXD3BNJbTJFQjKh5I+TL0xUkcwntq+k3XvWMZTlFEbEiZ629/4N+BAyfxw07Ds6tl8712BWW+6l0iYoc2aSynqevJZ1w1WM35lPvzeRNJo84i4tnAUykDCC2f5GGG757KAZgs1EdvHsB3KBPDHtay/pPV+pP7ncdhfAAfrK7vCmDLcfb9C9pM2ksZ4Oae6jjzW7Y5CfrUy+jPgFlt1s+ljPaWwNFN6zej/MrYzQT3O9DlBPc+xi23A6vrdtYY+3hPTW+Z7MHYE9lPy71jGU65nDaizHeblCaa404m31yeTesexkOT1d8IbNayfcZOZD9AZTUtn3HAAVWa84CNm9Y/s7qfb2gt31F6jFdOLft+sdr33ePsN1L3VFQZ1RCIiJ0o/9S3BpZQhqN/NqVD8qWUD6Wb+5fD4RMRB1E6iN9PaVrbrr/eysxcXO2/nNL84XxKHzWAp/DQnEofzMyPtHmdTwDvqtKcQZm4+zXAVpQfGU7qyQkNqYhYRBnc6Vzgd8CfKEPE/xXly/BS4BWZuaYpzcsp1/oe4DRgFbAfZZS5M4BXZ8sHaEQcBpxA+ad+OmUAgYXAdsAnMvOo2k5yCEXED4DnAvtl5lkd9lmO91Stqnvh5dXTbYAXU359b8znd1Pze3u67h3LcG3dlFNEfBk4GLgJ+Czly2qr5dlUSxMRSek+8nNK883ZlFZUT6a0pHpFZn63JU8bUWpd5lN+mF1GmWdwf0oZ75WZF07htGekLstqOdPwGRcRQenTu5AyEOJZ1b6vofyffFVmLpnKec803X72VWk2A66lTEu5XY7Rn3Pk7ql+R70+evsAtqdMDXEd5c33O+BTNP3S5aOn13sR5Z/1WI/lTfu/GfhvynDYd1B+Pfw95UvW88Z5rYOBi4A7KUHT94GX9fsazIQHZXj5r1L+kd5Kmfz8RuB7lPlUo0O63SkB6S3A3cAvgSOB9cZ4rX2rsvlTVVYXUeZR6/t1mEkPSu10AlePc729p+ovi/E+51a2STMt945lOLlyApZP4H/Xopbjf6y6vtdSflC4q/pMPQnYcYx8bQJ8mNKqZHX12fs14M/7fc1mSFlN22ccJVA6srpf767u36W01KSOymOSn32HVtu+OoHjj9Q9ZU2nJEmSJKk2DiQkSZIkSaqNQackSZIkqTYGnZIkSZKk2hh0SpIkSZJqY9ApSZIkSaqNQackSZIkqTYGnZIkSZKk2hh0SpIkSZJqY9ApSZIkSaqNQackSZIkqTYGnZIkSZKk2hh0SpIkSZJqY9ApSZIkSaqNQackSQMgIpZHRPY7H70QEYsiIiNijx4ec8OIuCwilvbqmP0QEXtU12bRJNO/KyLujYgn9jhrklQbg05JGjLVF9rmx+qIuDEifhoRX4iIl0TEev3O57CqrvnyfuejThFxcHWeB0/jy74TeDxwzDS+5iD6HHAj8PF+Z0SSJmr9fmdAklSbY6vlesDmwJOAA4E3Aysi4nWZeWm/MidNVETMAj4AfC8zf9rv/PRTZt4dEZ8CPhoR8zPz/H7nSZLGY9ApSUMqMxe1rouIRwEnAvsD/xsR8zLzhunOm9Slv6b8cLK4z/kYFKcC/wT8DWDQKWng2bxWkkZIZv4ReC2wHNgeOLp1n4jYOSL+PSL+EBFrIuLa6vnO7Y4ZEetFxCERcV5E3BYRd0fE5VVT3p2b9ltcNcmc2+YYbfu5Nfo5RsQGEfH3EXFFRNwTEZdExFub9jskIn5ZvfY1EXFsRLT9HxcRz46IMyLi+ur8ro6If42IR7fZt/H660fE0VWfwtVVmo9GxIZN+x7c1CfzBS1NnBe1HrsbEfHiiFgaETdVr39FRHwsIjZvs+/K6jGr2uf3VZrLI+K9ERFt0kREHB4Rv6mu7x8i4qSImN04XvM1Ab5cPf1yy3nObXPshRHx44i4KyJWRcRpEfGYLi/Bm4E1wDdajv326nXf2rL+jdX6uyJio5ZtF1bn+PCW9a+OiHOb3sO/jIj3t6av9m1c480i4pPV3/c2l3NEPCoivhgRf6yO97OIOKjTCUbEjhFxSlVOd1fX6pcRcXJEbNW8b2ZeC5wLLIyIzca9epLUZ9Z0StKIycwHIuIjwB7AARFxZGYmQEQ8E/hfYFPgm8BvgCcCrwcWRMQLM/OixrGqoOu/gb8Erga+AtwOzAVeAfwQuKwH2T4NeDawFLgXWAicEhH3Ak8BDqrysQzYD/h74C7go80HiYg3AacAq6vzuxrYGXgLsG9EPCczf9/m9b8CPA/4VnV+LwX+DtgaeGO1z88oTZo/BPyOtWvllk/2xCPiQ8AiYFV1jjdU53wU8NKI2C0zb29JtgHwHeDRVZ7vA14O/DOwMQ81vW74DHAocC3l+qyhXMdnVce6t2nfxcCtwAJgCeW8G25tOe7fVMf5JvB9Shm+BnhqRDwtM1dP4PxnA/OAizLzrpbNy6rl3sDnm9bvXS0fDuxGdf2rYz0D+EFm3t30GscB7wduopT1HcBLgOOAF0fEizJzTctrbwicDWwJfJfyvriqOt4jKTWQO1LugR8C2wInV/u2nuO2wEXAZpT3+JmUctqB0iT+JODmlmTnUe7h51PeF5I0uDLThw8fPnwM0QPI8vE+5j4bUQKJBHao1gXw22rd61r2f021/mLgYU3rj6vWfxPYqM1rzGl6vrjad26b/OxRbVvUsn55tf4iYPOm9TtSAqNbKF/0H9O0bXNK8HAjsH7T+l2qNJc3719t2xu4H/h6h9f/CbBl0/pZ1XHuB7Zpc/2XT6LclreWG7Bndbzzm8+/2nZwte34lvUrq/VLgYc3rd+aEhTeCmzQtP551f6XtFzjDSm1aQms7PDaB3c4l0XV9tuBXVu2faXa9uoJXpd9qv1P7LD9d5RAPJrWXUsJSO8H/qFp/YLqWB9sWrdbte73zWVJ+WH+rGrb0R2u8f8Cs9rk6ZQOZTOPh+67RU3rD6vWHd7mWLOay7HNufxLt+81Hz58+Jjuh81rJWkEZalhatSczKmW8ym1mhdk5n+27H86pbbmCcBzoTSrpdRk3Q0cki21Vpm5OjNv7FGW35eZD9aiZeaVVX42pwQVf2jadislWHgk0NyM81BKrd3hzftXaZZRAud9I2LTNq//3sxc1bT/ncB/UrqpzJviuY3lndXyrc3nX+VhMaWW8XWd0mZTbV6WvrtLgNmUcmxoNPn8x5ZrvIZS+zcVJ2TmL1vWNWoknzXBYzy2Wl7XYfvZlPfwrgAR8eeUWsUzgJ/yUK0nTX8va1r3pmr5kcy8vrEyM+8D3g08QKkJb+fd1XvhQRGxAaVM/kQJvh+UmSso75tO7m5dkZl3Npdjk0ZeH9tmmyQNFJvXStLoavTta/RD/ItqeXaH/c+mBJxPp9SAPZESwFyYpY9ZnVa0Wdd4zZ+02dYIKrej1IRBqdGC0t/ymW3SbE0Z6XeXNsds9/pXV8st2mW4R3aj1IztHxH7t9m+ITAnIrbKzObml7dl5uVt9m+X56dXyx+22f9HlKa5k9WL69boz3hLh+1nU2pe9wZ+AexVrV9Gaeb9rojYNDP/VG27A/hxU/qO7/vMvDQirgF2iIjZmXlb0+Z7qtdr9URgE0oT3tvabF/OQ4F+wzcprQY+ExEvpjSNPg/4TWZ2mru18SPIIztsl6SBYdApSSMoIjam9EWD0gwVSgAJnWuUGus3b1n+oc2+PdXhy3sjGBpr2wZN6xrBy3vGeblHtHn91r6Kza9R55ynW1H+V39onP0ewdp9/trlF9rnuVHuf2zdOTPvj4jWvoTd6MV1a9Tybdxhe3O/zuOr5TVVwLiM0vf2BRGxgjJt0NKqFrNhIu/7x1Le783vtRs6BIQdr2fl+tYVmfm7iHgWpWZ0H+CV1aarI+LjmXlCm+M0BkJqVwsqSQPFoFOSRtNzKf8D/piZK6t1jS/U23RIs23Lfo2AYqIjkT5QLdv971lnFNYaNPI9O9cdeGdQ3UbpQ7vluHtOXuNaPAq4snlD1YR6K6bhh4UxNKb02ardxsy8NiIuAZ5fjTS7B6UZMZTa2zXACymD9MC6NZrN7/sr2rxE6/v+wZfukN/Gfo/qsL3t/ZWZvwVeExHrA0+t8nwY8OmIuDMzv9iSpHE9nPJI0sCzT6ckjZgoU4l8oHr6laZN/1ct9+iQdM9q+dNqeTEl8HxKtJlupI1G88jt22yrs19kw4+q5fNqfp0H6F3t54+ALSLiST06XjuNcn9um23Pof2PBPdXyzpreRsaTVifOMY+yygjLh9K+QFjGUCW0W5/RKn9bG5226zj+z4iHk9pon1Vh9rudi6mjJz8tGq03FbrvE6zzLwvM3+SmR8FDqhWv7zNro3r8bM22yRpoBh0StIIiYitKdOP7EEZrfO4ps3nUUYwfW5ELGxJt5ASrF1K1fcvM+8HPktp5ndym/kQN4yIOU2rGv3oWudU3BU4fEonNjEnUfpHHh8Ru7RurPLbi4D0ZtoH1pNxfLX8fLvAPspcnM+Z4mv8e7X8QHOQVE2Hc1z7JA825Z2OQWx+TWkCPtZ5NmovGwMfLWvZ9mTK1C03Az9vSfulanlM8/u1quX9OOW7UmstY0eZeS9lsKBNaRlIKCLm0Wbgp4h4RocAtVFb2jpVDDx0Pc6ZaN4kqV9sXitJQ6ppovqHUWp/nkSpzdqQEgC+LjNvauyfmVlNXv894PSIWEKptXkCpablT8AbMvMBHnIsZe7FfYFLI+K/q/22B15E6T+5uNp3CWXOzgMiYjvgQkrQ0pjv8dU9PP11ZObF1TydXwJ+HRHfpgTRG1T5eB4luBmrRm0ilgGvjYizKLXC9wLnZua5k8jzsoh4H/BPwGURsZQyRcwjgMcBL6D8CLDPZDObmd+PiFOAt1Guy5lVnvelNBW9loeaRjdcQAmEjoiIrXion+KJHfrfTlr1vvw68LaIeFJm/rrNbudUedwauLhlYKtllOBvDnBGaz/MzDw/Iv6F0vfzVxFxBnAnZZ7OJ1Ou78e6zPbRlNrVI6pAszFP52soU9ns17L/gcDbI+KHlCa+twA7UcpgNfCp5p2r1govBC7JzF91mTdJmnYGnZI0vBqDz6yhBIK/o9RqnQl8tyV4BCAzL6xGdj2G8qV2X8qcl1+lTE1yScv+ayJiH+AQ4A2UUTmDEqh8naYRUTPznojYm1J79JfAM4FfAX9NGYmz1qCzysOpEfFzylQYe1IC4zur/J4BnN6Dlzmc0t9vb+CllKD/WMqIv5PJ80cj4jzK9CnPpQTpt1H6WZ7C2k2kJ+tQyg8Mb6eU5c2U8jsauIaWvo6ZeUtEvIryHjuYMpckwKm0H9hpqj5LCYrfALy3dWNmroqIn1FGom3ts3khpYxntdnWSP/eiPg/4B3Va2xAOedjgE9U08dMWGbeFBG7U2qK96U0H7+Ecp1Xsm7Q+VXKvLbzgWdQWg/8gdIq4RNtAssXAo8GjuwmX5LUL9F5JG5JkjTKImJnSm3waZl5wHj715yX7wBPAXbsMG/lyKhqo18A7NTrmmVJqoN9OiVJGnERsU3VZLN53SY81Kzz69Ofq3UcRWki+zf9zkg/RcTTgVcAiww4Jc0UNq+VJElHUPraLqfMS7kNpXnwdsC3gK/1L2tFZv6y6pO7ab/z0mfbAB8ETu53RiRpomxeK0nSiKv62h4FPA3YEriP0qz2K8CnqhFZJUmaFINOSZIkSVJt7NMpSZIkSaqNQackSZIkqTYGnZIkSZKk2hh0SpIkSZJqY9ApSZIkSaqNQackSZIkqTb/H6oevHvW12iLAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "draw_document_lengths_histogram(train_dataset.data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look if there are some special documents in case of lengths: too short or too long" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "draw_document_lengths_histogram(\n", + " train_dataset.data,\n", + " low_outlier_percentile_bound=0,\n", + " upper_outlier_percentile_bound=5,\n", + " bins=20\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "suspiciously_short_texts = [\n", + " t for t in train_dataset.data\n", + " if len(t.split()) <= 9\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(suspiciously_short_texts)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(suspiciously_short_texts[11])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Thus, most texts that are too short contain little information." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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OA17M+AeP+mC7PhK4MckvkyxNctxsd9ze2nsAzR8FNgE+AFyX5A9JbqT5w8TJNLejDhoBeSbH/RHNe1XAk4Cl7ft4A80fRE5j+efcb47Mznvyr+1nsLRdpupRG1Zo5t38T+A37f6vo/kdOLbd/oF2MKKhVNUvaBLpO4HH0VzX19Gc77to5r88ffAexhrnnF1PA7ygjfPyNr5lwHE039NOB/6lT5sP0kyVsx7w4TbOZTSPGTyEqf8ocRrN8/I7AlckuapzfQwTbFUtoem5vws4CPhVe21ez/L39T9p/oAiSUMzOZWkZrqCe7fLpjS9N5fRfPF/DbB9O5DKNYN2UFUXAn9F8yX6p+0+76B5XvGfgEdU1e8GtP0q8ACaiet/0LZbH/gF8EngyX3anEbzZfarNEnsWsB3gRdU1QtGO/3xqqo3Aw+mSeJ+RvN/zYY0SdwXgX8GHjPmY36E5rngC2nev/sA9+XuU7LMZv+/o/lDwLNpeqV+D3Ruw/4x8DHgGYz5y3h7XrvT/KFkGU0i8kOaW1wPZvmgN/16UN9Ic3vlpTTJwn3bZRy3qn6C5v3+FPAj4HaaW4yvovm9eXJVvWjUnVbVKcCjgc/RnNO6NOd7JM37O2ryP6M45/p66nO8z9A8v/k5muT8DuB7wBHA09o/SPW2uR3Yl+aRg6U0ieJNNLehP7xtP+h417TH+2+aa3lzll8fw8b8HzTPtX6C5v28F801+mXgoKr631U1X0cyljRDGTzNnSRJWlW1Ax39kiZx2quqzp1sRJIkzY49p5IkrZ4OpklMb6C5vVOSpNXa2pMOQJIk9dcOLvNHmuctr6yqu9oRgZ9DM4AQwL9X1S2D9iFJ0urC23olSVpFJTmZ5QNp/YnmmcKFLJ+f8ivAk6rq1gmEJ0nSWNlzKknSquvfaW7b3Q3YkiYxvZZmkKOTgY/1GyxHkqTVkT2nkiRJkqSJs+d0TDbbbLNatGjRpMOQJEmSpIm4+OKLr6mqzWfa3uR0TBYtWsRFF1006TAkSZIkaSKS/HI27Z1KRpIkSZI0cSankiRJkqSJMzmVJEmSJE2cyakkSZIkaeJMTiVJkiRJE2dyKkmSJEmaOJNTSZIkSdLEmZxKkiRJkibO5FSSJEmSNHEmp5IkSZKkiTM5lSRJkiRNnMmpJEmSJGniTE4lSZIkSRNncipJkiRJmjiTU0mSJEnSxJmcSpIkSZImzuRUkiRJkjRxJqeSJEmSpIlbpZPTJG9PcnaSXye5Jcm1Sb6T5A1JNu2puyhJTbGcMsVxDklyYZIbkyxLcm6S/ef+DCVJkiRJAGtPOoBpvBy4BPgy8DtgQ+CRwDHAYUkeWVW/7mnzPeCzffb1g34HSHIccBRwBXAisC5wMHBGkiOq6oQxnIckSZIkaQqrenK6UVXd2luY5FjgaODVwEt6Nn+3qo4ZZudJdqVJTH8B7FJV17Xl7wAuBo5LcmZVLZ3xGUiSJEmSprVK39bbLzFtfbpd7zDLQ7y4XR/bSUzb4y4F/g1YD3jeLI8hSZIkSZrGKp2cTuFJ7frSPtu2SvKiJEe3652n2M/e7fqsPtu+0FNHkiRJkjRHVvXbegFI8krgXsACYDGwG01i+rY+1fdtl+725wKHVNWvuso2BLYGbqyqq/rs52ftesfZxi9JkiRJmtpqkZwCrwTu3fX6LOC5VfX7rrKbgTfRDIZ0WVu2M83gSXsBZyd5SFXd1G5b0K6XDThmp3zhoKCSHAYcBrDtttsOdSIr2+nJpEPo64CqSYcgSZIkaRWyWtzWW1VbVFWALYCnAdsD30nysK46v6uq11fVJVV1fbucB+wHfAu4P3DomOP6QFUtrqrFm2+++Th3LUmSJEnzymqRnHZU1dVVdRpNwrkp8LEh2twBfLB9uXvXpk7P6AL665RfP4NQJUmSJEkjWK2S046q+iXwQ2CnJJsN0aRz+++GXfu4CbgSuFeSLfu06YwE/NPZxCpJkiRJmt5qmZy2tmrXdw5R95Ht+rKe8nPa9eP6tHl8Tx1JkiRJ0hxZZZPTJDsmWeGW2yT3SHIs8BfAks78pEkelmSF80myD/Dy9uXJPZvf365fk2TjrjaLgJcCtwEfmeWpSJIkSZKmsSqP1vsE4K1JLgAuB/5AM2LvHjQDIv0WeGFX/XcCOyRZAlzRlu3M8nlKX1dVS7oPUFVLkrwTeAVwaZJTgXWBZwKbAEdU1dI5ODdJkiRJUpdVOTn9Cs0Iu7sBD6WZ0uUmmmdAPw4cX1XXdtX/OPBUYBeaW3LXAa4GPg2cUFXn9ztIVR2V5Ps0PaWHAXcBlwDvqKoz5+C8JEmSJEk9VtnktKp+ABw+Qv0PAR+a4bFOAk6aSVtJkiRJ0uytss+cSpIkSZLmD5NTSZIkSdLEmZxKkiRJkibO5FSSJEmSNHEmp5IkSZKkiTM5lSRJkiRNnMmpJEmSJGniTE4lSZIkSRNncipJkiRJmjiTU0mSJEnSxJmcSpIkSZImzuRUkiRJkjRxJqeSJEmSpIkzOZUkSZIkTZzJqSRJkiRp4kxOJUmSJEkTZ3IqSZIkSZo4k1NJkiRJ0sSZnEqSJEmSJs7kVJIkSZI0cSankiRJkqSJMzmVJEmSJE2cyakkSZIkaeJMTiVJkiRJE2dyKkmSJEmaOJNTSZIkSdLEmZxKkiRJkibO5FSSJEmSNHEmp5IkSZKkiTM5lSRJkiRNnMmpJEmSJGniTE4lSZIkSRNncipJkiRJmjiTU0mSJEnSxJmcSpIkSZImzuRUkiRJkjRxJqeSJEmSpIkzOZUkSZIkTZzJqSRJkiRp4kxOJUmSJEkTZ3IqSZIkSZo4k1NJkiRJ0sSZnEqSJEmSJs7kVJIkSZI0cSankiRJkqSJMzmVJEmSJE2cyakkSZIkaeJMTiVJkiRJE2dyKkmSJEmaOJNTSZIkSdLEmZxKkiRJkibO5FSSJEmSNHEmp5IkSZKkiTM5lSRJkiRNnMmpJEmSJGniTE4lSZIkSRNncipJkiRJmjiTU0mSJEnSxJmcSpIkSZImbpVOTpO8PcnZSX6d5JYk1yb5TpI3JNl0QJtdk3y+rXtLkkuTHJlkrSmOs3+Sc5MsS3Jjkm8lOWTuzkySJEmS1G2VTk6BlwMbAl8G3gP8J3AHcAxwaZL7dFdOcgBwHrA7cBpwArAu8C7glH4HSHI4cAbwIOBk4ERgK+CkJMeN/YwkSZIkSStYe9IBTGOjqrq1tzDJscDRwKuBl7RlG9EklncCe1bVRW3564BzgAOTHFxVp3TtZxFwHHAtsLiqlrblbwS+DRyV5DNV9Y25OkFJkiRJ0irec9ovMW19ul3v0FV2ILA5cEonMe3ax2vbl//Qs5/nA+sBJ3QS07bNdcBb2pcvnlHwkiRJkqShrdLJ6RSe1K4v7Srbu12f1af+ecDNwK5J1huyzRd66kiSJEmS5siqflsvAEleCdwLWAAsBnajSUzf1lXtAe36p73tq+qOJJcDOwHbAz8aos1VSW4Ctklyz6q6eRznIkmSJEla0WqRnAKvBO7d9fos4LlV9fuusgXtetmAfXTKF47YZsO23grJaZLDgMMAtt1220GxS5IkSZKmsVrc1ltVW1RVgC2Ap9H0fn4nycMmHNcHqmpxVS3efPPNJxmKJEmSJK3WVovktKOqrq6q04D9gE2Bj3Vt7vR+Llih4d3Lr59Bm0E9q5IkSZKkMVitktOOqvol8ENgpySbtcU/adc79tZPsjawHc0cqZd1bZqqzZY0t/Re4fOmkiRJkjS3VsvktLVVu76zXZ/Trh/Xp+7uwD2BJVV1W1f5VG0e31NHkiRJkjRHVtnkNMmOSVa43TbJPZIcC/wFTbJ5XbvpVOAa4OAki7vqrw+8uX35vp7dfQS4DTg8yaKuNhsDR7cv3z/7s5EkSZIkTWVVHq33CcBbk1wAXA78gWbE3j1oBkT6LfDCTuWquiHJC2mS1HOTnAJcCzyZZsqYU4FPdR+gqi5P8k/A8cBFST4F/Ak4ENgG+Neq+sacnqUkSZIkaZVOTr8C3J9mTtOH0kwBcxPNnKQfB46vqmu7G1TVZ5PsAbwGeDqwPvBz4BVt/eo9SFW9N8lSmulqnkPTm/xD4LVV9dG5OTVJkiRJUrdVNjmtqh8Ah8+g3ddpel1HaXMGcMaox5IkSZIkjccq+8ypJEmSJGn+MDmVJEmSJE2cyakkSZIkaeJMTiVJkiRJE2dyKkmSJEmaOJNTSZIkSdLEmZxKkiRJkibO5FSSJEmSNHEmp5IkSZKkiTM5lSRJkiRNnMmpJEmSJGniTE4lSZIkSRNncipJkiRJmjiTU0mSJEnSxJmcSpIkSZImzuRUkiRJkjRxJqeSJEmSpIkzOZUkSZIkTZzJqSRJkiRp4kxOJUmSJEkTZ3IqSZIkSZo4k1NJkiRJ0sSZnEqSJEmSJs7kVJIkSZI0cSankiRJkqSJMzmVJEmSJE2cyakkSZIkaeJMTiVJkiRJE2dyKkmSJEmaOJNTSZIkSdLEmZxKkiRJkibO5FSSJEmSNHEmp5IkSZKkiTM5lSRJkiRNnMmpJEmSJGniTE4lSZIkSRNncipJkiRJmjiTU0mSJEnSxJmcSpIkSZImzuRUkiRJkjRxJqeSJEmSpIkzOZUkSZIkTZzJqSRJkiRp4kxOJUmSJEkTZ3IqSZIkSZo4k1NJkiRJ0sSZnEqSJEmSJs7kVJIkSZI0cSankiRJkqSJMzmVJEmSJE2cyakkSZIkaeJMTiVJkiRJEzd0cppk4yR/lWS9nvLnJTk9ySeS/M34Q5QkSZIkrenWHqHuW4D/DfxFpyDJEcC7gbRFT0myuKp+OL4QJUmSJElrulFu6300cHZV3dJV9krgSmB34Blt2SvGFJskSZIkaZ4Yped0a+DszoskfwXcB3hVVV3Qlh1Ek6hKkiRJkjS0UXpONwBu7Xr9aKCAr3SV/YImiZUkSZIkaWijJKdXAg/sev1Y4Abge11lGwPdt/1KkiRJkjStUW7r/SpwSJLDaXpQnwx8pqru6qpzP+DXY4xPkiRJkjQPjNJz+lbgRuA9wAdoEtRjOhuTbATsBiwZR2BJNk1yaJLTkvw8yS1JliW5IMkLktyjp/6iJDXFcsoUxzokyYVJbmyPcW6S/cdxHpIkSZKk6Q3dc1pVlyfZCTiwLfp/VfWrrir3B/4D+OSYYjsIeB9wFU2v7a+AewNPAz4IPD7JQVVVPe2+B3y2z/5+0O8gSY4DjgKuAE4E1gUOBs5IckRVnTCGc5EkSZIkTSEr5narhiR7AxsCn+u+dTjJFsCFNCMFH1hVn2nLFwGXAx+tqucOeYxdga/TDOS0S1Vd17Wvi9vjP7Cqlk63r8WLF9dFF1001LmtTKcn01eagANW0etOkiRJ0swkubiqFs+0/dC39Sa5LMnLpqnz0iSXzTSYblV1TlWd0fNMK1X1W+D97cs9Z3mYF7frYzuJaXuMpcC/AesBz5vlMSRJkiRJ0xjlmdNFwMJp6iwE7jvjaIZ3e7u+o8+2rZK8KMnR7XrnKfazd7s+q8+2L/TUkSRJkiTNkVFG6x3G/wL+NOZ93k2StYHntC/7JZX7tkt3m3OBQ7qfkU2yIc2crDdW1VV99vOzdr3jbGOWJEmSJE1tyuQ0ybY9RQv7lAGsBWwLPB0Yy229U3gb8CDg81X1xa7ym4E30QyG1IlhZ5oRhfcCzk7ykKq6qd22oF0vG3CcTvnA3uIkhwGHAWy7bb+3RZIkSZI0jCkHREpyF9CpkK6fBzYBXlFV7x5PeCvE8zKaqWx+DDy6qq4dos3awAXAI4Ajq+o9bflWwJXAlVW1TZ9269D0Av+pqtab7jgOiDQaB0SSJEmS1iyzHRBputt6P0aTkIbmVtpLge/2qXcn8Afg7Kr60kyDmUqSw2kS0x8C+wyTmAJU1R1JPkiTnO7e7gOW94wu6Ntwefn1M4tYkiRJkjSsKZPT7ilZkjwHOK2q3jjXQfVKciTwLpq5Svepqt+NuIvft+sNOwVVdVOSK4Gtk2zZ57nTHdr1T2cSsyRJkiRpeEOP1ltV95hQYvoqmsT0u8BeM0hMAR7Zrnufhz2nXT+uT5vH99SRJEmSJM2RUaaSWemSvI5mAKSLaXpMr5mi7sOSrHA+SfYBXt6+PBLfE4gAACAASURBVLlnc2e+1Nck2birzSLgpcBtwEdmGr8kSZIkaTgjTSWTZBPg+cDfABvTjNLbq6pqn9kGluQQ4I00z7OeD7wsKw7us7SqTmp/fiewQ5IlwBVt2c4sn6f0dVW1pCfQJUneCbwCuDTJqcC6wDOBTYAjqmrpbM9FkiRJkjS1oZPTJA8EzgU2pxkgaZBxDcO6XbteCzhyQJ2vASe1P38ceCqwC80tuesAVwOfBk6oqvP7Blt1VJLv0/SUHgbcBVwCvKOqzpz9aUiSJEmSpjPlVDJ3q5icCTyB5jbbDwC/rqo75zC21YpTyYzGqWQkSZKkNctcTyXT7THA56rq6JkeTJIkSZKkfkYZECk0c4xKkiRJkjRWoySnFwMPmKtAJEmSJEnz1yjJ6RuBJyTZc45ikSRJkiTNU6M8c3of4HTgS0k+SdOTen2/ilX1sTHEJkmSJEmaJ0ZJTk+imSYmwN+3S++Qq2nLTE4lSZIkSUMbJTl93pxFIUmSJEma14ZOTqvqo3MZiCRJkiRp/hplQCRJkiRJkubEKLf1ApBkc+DpwF8CG1bVoV3l2wHfr6pbxhqlJEmSJGmNNlJymuQFwPHA+iwf/OjQdvO9gW8AhwEfGmOMkiRJkqQ13NC39SbZF/gA8FPgqcD7urdX1Q+A/wGeMs4AJUmSJElrvlF6Tl8FXAXsUVU3JHlonzqXAo8aS2SSJEmSpHljlAGRFgNnVtUNU9S5AthidiFJkiRJkuabUZLTdYGbpqmzELhz5uFIkiRJkuajUZLTpcDDp6nzCOAnM45GkiRJkjQvjZKcng48JslB/TYmeR6wM/CZcQQmSZIkSZo/RhkQ6V+Ag4FPJjkQWACQ5HDgMcDTgJ8B7x13kJIkSZKkNdvQyWlVXZdkD+BjQHfv6fHt+nzg76pquudSJUmSJEm6m1F6TqmqXwF7JtmZZsqYTYFlwDer6uI5iE+SJEmSNA+MlJx2VNWlNHOaSpIkSZI0a6MMiCRJkiRJ0pwYuec0yZOAhwDbAOv0qVJV9YLZBiZJkiRJmj+GTk6T3Bc4A9gJyBRVCzA5lSRJkiQNbZSe0+OBBwEfphmx90rgjrkISpIkSZI0v4ySnO4NfLGqDp2rYCRJkiRJ89MoAyLdDnx/rgKRJEmSJM1foySnX6e5rVeSJEmSpLEaJTl9PbB7koPnKhhJkiRJ0vw09DOnVfWdJPsAn0vyIuASYFn/qvWmcQUoSZIkSVrzjTKVzALgLcAmwB7t0k8BJqeSJEmSpKGNMlrvu4C9gK8AHwd+g1PJSJIkSZLGYJTkdH9gSVXtN1fBSJIkSZLmp1EGRNoAWDJXgUiSJEmS5q9RktPvANvPVSCSJEmSpPlrlOT0TcCTkuw2V8FIkiRJkuanUZ453RI4EzgnySeAi+k/lQxV9bExxCZJkiRJmidGSU5PopkmJsBz2qV66qQtMzmVJEmSJA1tlOT0eXMWhSRJkiRpXhs6Oa2qj85lIJIkSZKk+WuUAZEkSZIkSZoTJqeSJEmSpIkb+rbeJJcNWbWq6n4zjEeSJEmSNA+NMiDSPVhxdF6AhcCC9uffALfPNihJkiRJ0vwyyoBIiwZtS3J/4HhgQ+Cxsw9LkiRJkjSfjOWZ06r6OfA0YGvgDePYpyRJkiRp/hjbgEhVdSvwZeBZ49qnJEmSJGl+GPdovXcAW4x5n5IkSZKkNdzYktMkmwFPBX49rn1KkiRJkuaHUaaSef0U+7gPcADNqL2vHkNckiRJkqR5ZJSpZI6ZZvsNwJur6l9mHo4kSZIkaT4aJTnda0D5XcB1wI+r6o7ZhyRJkiRJmm9Gmef0a3MZiCRJkiRp/hr3aL2SJEmSJI1s6OQ0yUFJzkmy1YDtWyc5O8nTxheeJEmSJGk+GKXn9FBgYVX9pt/GqrqSZrTeQ8cRmCRJkiRp/hglOf1r4KJp6nwb2Hnm4UiSJEmS5qNRktNNgN9NU+cPwGYzD0eSJEmSNB+NkpxeA+wwTZ0dgOtnHs5ySTZNcmiS05L8PMktSZYluSDJC5L0jT3Jrkk+n+Tats2lSY5MstYUx9o/ybnt/m9M8q0kh4zjPCRJkiRJ0xslOf068OQkD+y3MclfAgcA548jMOAg4ETgEcC3gHcDnwEeBHwQ+HSS9MRwAHAesDtwGnACsC7wLuCUAXEfDpzR7vfk9phbASclOW5M5yJJkiRJmkKqariKyS7AEmAZ8EbgLOBKYGvg8cDraAZE2q2qvjXrwJK9gQ2Bz1XVXV3lWwAXAvcBDqyqz7TlGwE/b2N4dFVd1JavD5wDPAp4VlWd0rWvRcCPgZuAh1fV0rZ8Y5rnZ+8H7FpV35gu3sWLF9dFF033SO7Kd/rd8/dVxgFDXneSJEmSVg9JLq6qxTNtP3TPaVV9G3gJsBFNT+SPgBva9Tvb8n8YR2LaHu+cqjqjOzFty38LvL99uWfXpgOBzYFTOolpW/9W4LXty3/oOczzgfWAEzqJadvmOuAt7csXz+5MJEmSJEnTWXuUylV1YpILaJLURwALaZ4x/Sbwvqr60fhD7Ov2dn1HV9ne7fqsPvXPA24Gdk2yXlXdNkSbL/TUkSRJkiTNkZGSU4A2AT1iDmIZSpK1gee0L7uTyge065/2tqmqO5JcDuwEbE/T2ztdm6uS3ARsk+SeVXXzOOKXJEmSJK1olAGRVhVvoxm86PNV9cWu8gXtetmAdp3yhTNos2DAdkmSJEnSGIzcc5rkkcChwENpEr1lwMXAR6pqyXjDW+HYLwOOohnE6O/n8ljDSHIYcBjAtttuO+FoJEmSJGn1NVLPaZI300wp83ya5HQ74CHAC4Dzk7xliuaz0k758h7gh8BeVXVtT5Xpejk75d3zsA7bpm/PalV9oKoWV9XizTfffGDskiRJkqSpDZ2cJjkIOBr4FU3P6fbABu360Lb8VUmeMe4gkxwJvBf4AU1i+ts+1X7Srnfs035tmkT6DuCyIdtsSTOVzRU+bypJkiRJc2uUntMjgKuBXarqw1W1tKpua9cfBnYBfg+8dJwBJnkVzdQ136VJTH83oOo57fpxfbbtDtwTWNI1Uu90bR7fU0eSJEmSNEdGSU4fDJxaVdf029iW/xfNbb5jkeR1NAMgXQzsM+jYrVOBa4CDk/x54tck6wNvbl++r6fNR4DbgMOTLOpqszFNLzEsn1NVkiRJkjRHRhkQaW2auUKncvOI+xwoySHAG4E7gfOBlyXprba0qk4CqKobkryQJkk9N8kpwLXAk2mmjDkV+FR346q6PMk/AccDFyX5FPAn4EBgG+Bfq+ob4zgfSZIkSdJgoySSvwD2T/Lqqrqrd2OSewBPaOuNw3btei3gyAF1vgac1HlRVZ9NsgfwGuDpwPrAz4FXAMdXVfXuoKrem2Qp8Eqa+VPvQTPo0mur6qNjORNJkiRJ0pRGSU4/AbwFOD3JK6rqZ50NSe4HvAP4K5rEcNaq6hjgmBm0+zpNkjxKmzOAM0Y9liRJkiRpPEZJTt9JM3DQE4HHJ/kNcBWwBbA1TY/jBW09SZIkSZKGNvSASFX1J2Bfmp7Ry2meydwFuE/7+jU0gxb9aQ7ilCRJkiStwUYavKiqbgfeCrw1yb2ABcCyqrpxLoKTJEmSJM0PMx5Zt01ITUolSZIkSbM2yjynkiRJkiTNiYE9p0kum+E+q6ruN8O2kiRJkqR5aKrbeu8B9M4Lui6wZfvzncA1wGY0c5FCM3qvAyJJkiRJkkYy8LbeqlpUVdt1FuDBwJXAN4G9gPWraktgfWBv4FvAFcDOcx+2JEmSJGlNMsozp8cCC4E9q+prVXUnQFXdWVXn0iSsm7T1JEmSJEka2ijJ6VOB0wfNY1pVtwKnA08bR2CSJEmSpPljlOR0U2Cdaeqs09aTJEmSJGlooySnvwAOTLKg38YkGwMHAjMd5VeSJEmSNE+Nkpy+H9gKuDDJc5IsSrJBuz6EZkCkLYB/m4tAJUmSJElrrqmmkrmbqjohyQ7AEcBH+lQJ8N6q+vdxBSdJkiRJmh+GTk4Bquofk5wCPB94KLAAWAZcApxUVUvGH6IkSZIkaU03UnIKUFXfAL4xB7FIkiRJkuapUZ45lSRJkiRpTpicSpIkSZImzuRUkiRJkjRxJqeSJEmSpIkzOZUkSZIkTZzJqSRJkiRp4gYmp0muTfLPXa9fn2T3lROWJEmSJGk+marndCGwftfrY4A95zIYSZIkSdL8NFVyejWwzcoKRJIkSZI0f609xbZvAn+f5E7gqrZszyTT7bOq6k3jCE6SJEmSND9MlZz+E7Aj8KKusj2Z/tbeAkxOJUmSJElDG5icVtXPk/w1sB2wNXAucBLw0ZUSmSRJkiRp3piq55Squgv4BfCL9nbepVX1tZURmCRJkiRp/pgyOe1WVc6JKkmSJEmaE0Mnp92SbAM8lGa6mWXAJVV1xTgDkyRJkiTNHyMlp0nuC/wHsG+fbV8GXlxVS8cTmiRJkiRpvhg6OU2yBXABzeBIS4HzaKaY2RJ4DLAfcEGSxVX12/GHKkmSJElaU43Sc/o6msT0VcA7q+rOzoYkawEvB/4FeC1w+DiDlCRJkiSt2UYZ5OiJwJeq6h3diSlAVd1ZVccBXwL2H2eAkiRJkqQ13yjJ6RbAxdPUubitJ0mSJEnS0EZJTpcB952mzrZtPUmSJEmShjZKcnoBcGCSXfttTPII4KC2niRJkiRJQxtlQKRjaZ47/VqSU4Cv0ozWuwWwJ/As4C7gLWOOUZIkSZK0hhs6Oa2qS5IcCHwUeDbwd12bA1wLPL+qpnsuVZIkSZKkuxml55SqOjPJtsABwMOABTTPmH4H+GxV3TT+ECVJkiRJa7qRklOANgH9RLtIkiRJkjRrowyIJEmSJEnSnDA5lSRJkiRNnMmpJEmSJGniTE4lSZIkSRNncipJkiRJmjiTU0mSJEnSxA2dnCY5J8mb5jIYSZIkSdL8NErP6SOBteYqEEmSJEnS/DVKcvoz4D5zFYgkSZIkaf4aJTn9IPDEJNvOVTCSJEmSpPlp7RHqngHsC3w9yduBbwO/Baq3YlX9ajzhSZIkSZLmg1GS08toEtEA75miXo24X0mSJEnSPDdKEvkx+vSSSpIkSZI0W0Mnp1X13DmMQ5IkSZI0j40yIJIkSZIkSXNiRs+GJnkg8JfAvarq4+MNSZIkSZI034zUc5rkIUkuAv4HOBU4qWvbHkluTvKk8YYoSZIkSVrTDZ2cJtkROBd4AM1ovV/oqXIecC1w4LiCS3JgkvcmOT/JDUkqyckD6i5qtw9aTpniOIckuTDJjUmWJTk3yf7jOg9JkiRJ0tRGua33DcC6wOKq+mGSNwCP72ysqkryDWCXMcb3WuDBwI3AFcADh2jzPeCzfcp/0K9ykuOAo9r9n0hzjgcDZyQ5oqpOmEHckiRJkqQRjJKc7gP8d1X9cIo6vwb2nV1Id/NymqTx58AewFeHaPPdqjpmmJ0n2ZUmMf0FsEtVXdeWvwO4GDguyZlVtXT00CVJkiRJwxrlmdONaRLFqYSm53EsquqrVfWzqpqr+VVf3K6P7SSm7XGXAv8GrAc8b46OLUmSJElqjZKcXg3cf5o6O9H0nk7SVklelOTodr3zFHX3btdn9dn2hZ46kiRJkqQ5MsptvecAz0rygKr6Se/GJLvQ3Pr7b+MKbob2pefW4iTnAodU1a+6yjYEtgZurKqr+uznZ+16xzmKU5IkSZLUGqXn9K3AHcB5Sf4B2AogyU7t6zOAPwLHjT3K4dwMvAl4OM0tyBuz/DnVPYGz24S0Y0G7XjZgf53yhWOPVJIkSZJ0N0P3nFbVT5I8Hfgk0BnBNsCl7fp64GndvZMrU1X9Dnh9T/F5SfYDLgAeARxKMw3OWCQ5DDgMYNtttx3XbiVJkiRp3hml55SqOgvYDngF8GngK8B/A/8E3L+qzhl7hLNUVXcAH2xf7t61qdMzuoD+OuXXT7HvD1TV4qpavPnmm88uUEmSJEmax0Z55hSAqrqepvdxbD2QK8Hv2/Wfb+utqpuSXAlsnWTLPs+d7tCuf7oyApQkSZKk+WykntPV2CPb9WU95Z2e3sf1afP4njqSJEmSpDkycnKa5NlJzk5ybZI72vXZSZ49FwGOENfDkqxwPkn2AV7evjy5Z/P72/Vrkmzc1WYR8FLgNuAjYw9WkiRJknQ3Q9/Wm2Qd4FRgf5oBkO6kuV12M2AvYM8kzwAOrKrbxxFckqcAT2lfbtGuH5XkpPbna6rqle3P7wR2SLIEuKIt25nl85S+rqqWdO+/qpYkeSfNM7SXJjkVWBd4JrAJcERVLR3HuUiSJEmSBhvlmdNXA08Cvtn+fEFV3ZlkLeAxNFPN7A+8CnjzmOJ7CHBIT9n27QLwS6CTnH4ceCqwC80tuesAV9MM3HRCVZ3f7wBVdVSS79P0lB4G3AVcAryjqs4c03lIkiRJkqaQqhquYvJzmsTtQVX1pz7b1wN+0O7z/mONcjWwePHiuuiiiyYdxgpOTyYdQl8HDHndSZIkSVo9JLm4qhbPtP0oz5xuA5zeLzEFqKrbgNOBrWcajCRJkiRpfholOf0Nza2yU1mnrSdJkiRJ0tBGSU4/ARyYZKN+G5MsBA4E/nMcgUmSJEmS5o9RktM3AhcBFyb5uyTbJFmnXT+bZqCkC4E3zUWgkiRJkqQ118DRepPcBfQbtSY0I+P2K98BuGWq/UqSJEmS1GuqJPI8+ienkiRJkiSN1cDktKr2XIlxSJIkSZLmsVGeOZUkSZIkaU6YnEqSJEmSJm7kgYuSPAl4CLAN/ec9rap6wWwDkyRJkiTNH0Mnp0nuC5wB7EQzMu8gBZicSpIkSZKGNkrP6fHAg4APAx8DrgTumIugJEmSJEnzyyjJ6d7AF6vq0LkKRpIkSZI0P40yINLtwPfnKhBJkiRJ0vw1SnL6dZrbeiVJkiRJGqtRktPXA7snOXiugpEkSZIkzU9DP3NaVd9Jsg/wuSQvAi4BlvWvWm8aV4CSJEmSpDXfKFPJLADeAmwC7NEu/RRgcipJkiRJGtooo/W+C9gL+ArwceA3OJWMJEmSJGkMRklO9weWVNV+cxWMJEmSJGl+GmVApA2AJXMViCRJkiRp/holOf0OsP1cBSJJkiRJmr9GSU7fBDwpyW5zFYwkSZIkaX4a5ZnTLYEzgXOSfAK4mP5TyVBVHxtDbJIkSZKkeWKU5PQkmmliAjynXaqnTtoyk1NJkiRJ0tBGSU6fN2dRSJIkSZLmtaGT06r66FwGIkmSJEmav0YZEEmSJEmSpDlhcipJkiRJmrihb+tNctmQVauq7jfDeCRJkiRJ89AoAyLdgxVH5wVYCCxof/4NcPtsg5IkSZIkzS+jDIi0aNC2JPcHjgc2BB47+7AkSf+/vXsPl6Qq7z3+/clVUUFwCEZA1AfUGDWegxdABTQxaEQ0DorxAiZC8MQoCN6NDjlq1JAjAU0MmsiJaEAwBs3BW8SBAIoSzdFEuYOCiNwHud/e/FGrpdP03rNnZu9dze7v53nqqelVa1WtqlrT1e9eq6okSZKmybzcc1pVFwC/CzwceM98rFOSJEmSND3m7YFIVXUr8DXg5fO1TkmSJEnSdJjvp/XeCWw1z+uUJEmSJC1x8xacJnko8GLg0vlapyRJkiRpOqzJq2TePcs6tgH2ontq79vnoV6SJEmSpCmyJq+SWbGa5TcA762qD619dSRJkiRJ02hNgtPdZ0i/G7gOOKeq7lz3KkmSJEmSps2avOf01IWsiCRJkiRpes3303olSZIkSVpjs/acJlmr4LWq7l676kiSJEmSptHqhvXesRbrrDmsV5IkSZKkX1pdEHkpXbA5Fw8Etli36kiSJEmSptGswWlVbbe6FSTZAPhj4J0t6ZJ1rpUkSZIkaaqs0wORkuwN/Aj4cyDAW4DHzUO9JEmSJElTZK3uDU2yM3A48DTgTuBI4E+r6rp5rJskSZIkaUqsUXCa5NHAB4EX0/WUngi8vaouXIC6SZIkSZKmxJyC0ySbA+8B/hDYEPgmcEhVfWsB6yZJkiRJmhKre8/phsBBwNuAzYALgbdV1ecWoW6SJEmSpCmxup7Tc4FtgWvpgtSPVtVdC14rSZIkSdJUWV1w+gi695wGOBQ4NMnq1llV9Yh5qJskSZIkaUrM5Z7TAJu3SZIkSZKkeTdrcFpV6/QeVEmSJEmS5sLgU5IkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUu4kNTpMsT3JUkn9NckOSSnLsasrsnOTkJNcmuSXJ95MclGS9Wcq8IMnKJKuS3JjkrCT7zv8eSZIkSZJmMpf3nPblXcCTgBuBy4DHzpY5yV7A54BbgeOBa4E9gQ8DuwB7jynzeuAo4BrgWOB2YDlwTJInVNWh87UzkiRJkqSZTWzPKXAwsAPwYOB1s2VM8mDg48BdwG5V9QdV9WbgN4BvAsuT7DNSZjvgcLogdseq+qOqOhh4InAhcEiSneZ1jyRJkiRJY01scFpV36iq86uq5pB9ObAMOK6qzh5ax610PbBw7wD394GNgI9U1SVDZa4D3t8+HriW1ZckSZIkrYGJDU7X0LPb/Mtjlp0G3AzsnGSjOZb50kgeSZIkSdICWirB6WPa/LzRBVV1J3Ax3f21j5pjmZ8BNwFbJ3nA/FZVkiRJkjRqqQSnm7b5qhmWD9I3W4sym86wXJIkSZI0T5ZKcNqLJAckOTvJ2VdddVXf1ZEkSZKk+6ylEpyurpdzkH79WpSZqWeVqjq6qnasqh2XLVs2p4pKkiRJku5tqQSn57b5DqMLkqwPPBK4E7hojmUeBmwCXFZVN89vVSVJkiRJo5ZKcHpKm+8xZtmzgAcAZ1bVbXMs87yRPJIkSZKkBbRUgtMTgauBfZLsOEhMsjHw3vbxr0fKfBK4DXh9ku2GyjwEeEf7+LEFqq8kSZIkacj6fVdgJkleBLyofdyqzXdKckz799VVdShAVd2QZH+6IHVlkuOAa4EX0r0y5kTg+OH1V9XFSd4MHAmcneR44HZgObA18BdV9c2F2j9JkiRJ0j0mNjgFfgPYdyTtUdzzrtIfA4cOFlTVPyXZFXgn8BJgY+AC4E3AkVVVoxuoqqOSXNLW82q6nuQfAu+qqv87r3sjSZIkSZrRxAanVbUCWLGGZc4Anr+GZb4IfHFNykiSJEmS5tdSuedUkiRJknQfZnAqSZIkSeqdwakkSZIkqXcGp5IkSZKk3k3sA5G0tJ2U9F2Fsfa690OdJUmSJC0Ce04lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9W7JBadJLklSM0xXzFBm5yQnJ7k2yS1Jvp/koCTrLXb9JUmSJGkard93BRbIKuCIMek3jiYk2Qv4HHArcDxwLbAn8GFgF2DvhaumJEmSJAmWbnB6fVWtWF2mJA8GPg7cBexWVWe39D8BTgGWJ9mnqo5byMpKkiRJ0rRbcsN619ByYBlw3CAwBaiqW4F3tY+v66NikiRJkjRNlmrP6UZJXglsC9wEfB84raruGsn37Db/8ph1nAbcDOycZKOqum3BaitJkiRJU26pBqdbAZ8aSbs4yWuq6tShtMe0+XmjK6iqO5NcDDweeBTwowWpqSRJkiRpSQ7r/STwHLoAdRPgCcDfANsBX0rypKG8m7b5qhnWNUjfbP6rKUmSJEkaWHI9p1V12EjSfwAHJrkROARYAbx4PraV5ADgAIBtt912PlYpSZIkSVNpKfaczuRjbf6sobRBz+imjDdIv37cwqo6uqp2rKodly1bNg9VlCRJkqTpNE3B6VVtvslQ2rltvsNo5iTrA48E7gQuWtiqSZIkSdJ0m6bg9OltPhxontLme4zJ/yzgAcCZPqlXkiRJkhbWkgpOkzwuySZj0rcDPtI+Hju06ETgamCfJDsO5d8YeG/7+NcLUllJkiRJ0i8ttQcivQw4JMlpwI+BXwCPBn4H2Bg4GTh8kLmqbkiyP12QujLJccC1wAvpXjNzInD8ou6BJEmSJE2hpRacfoMuqHwysAvd/aXXA6fTvff0U1VVwwWq6p+S7Aq8E3gJXRB7AfAm4MjR/JIkSZKk+bekgtOqOhU4dS3KnQE8f/5rJEmSJEmaiyV1z6kkSZIk6b7J4FSSJEmS1DuDU0mSJElS7wxOJUmSJEm9MziVJEmSJPXO4FSSJEmS1DuDU0mSJElS7wxOJUmSJEm9MziVJEmSJPXO4FSSJEmS1Lv1+66ANElOSvquwlh7VfVdBUmSJGlB2XMqSZIkSeqdwakkSZIkqXcGp5IkSZKk3hmcSpIkSZJ6Z3AqSZIkSeqdwakkSZIkqXcGp5IkSZKk3hmcSpIkSZJ6Z3AqSZIkSeqdwakkSZIkqXcGp5IkSZKk3hmcSpIkSZJ6Z3AqSZIkSeqdek+91gAAFa9JREFUwakkSZIkqXcGp5IkSZKk3hmcSpIkSZJ6Z3AqSZIkSeqdwakkSZIkqXcGp5IkSZKk3hmcSpIkSZJ6Z3AqSZIkSeqdwakkSZIkqXcGp5IkSZKk3hmcSpIkSZJ6Z3AqSZIkSerd+n1XQNLqnZT0XYWx9qrquwqSJElaIuw5lSRJkiT1zuBUkiRJktQ7g1NJkiRJUu8MTiVJkiRJvTM4lSRJkiT1zuBUkiRJktQ7g1NJkiRJUu8MTiVJkiRJvTM4lSRJkiT1zuBUkiRJktQ7g1NJkiRJUu8MTiVJkiRJvTM4lSRJkiT1zuBUkiRJktS79fuugKT7rpOSvqsw1l5VfVdBkiRJa8jgVJIWicG8JEnSzBzWK0mSJEnqncGpJEmSJKl3DuuVtORM6vBZSZIkzcyeU0mSJElS7+w5lSRpCZjUEQM+cGvNeB4lTTODU0macv4YliRJk8BhvUCSrZP8XZLLk9yW5JIkRyR5SN91kyRJkqRpMPU9p0keDZwJbAmcBJwDPBV4I7BHkl2q6poeqyhJmiCT2tMsLaRJbfeOsJCWlqkPToG/ogtM31BVRw0Sk/wf4GDgfcCBPdVNkqbWpP4Y1prxPEqS5mqqh/W2XtPnApcAHx1Z/B7gJuBVSTZZ5KpJkiRJ0lSZ9p7T3dv8q1V19/CCqvpFkjPogtenA19f7MpJkiRpZpPaM+9w46XDNra4pj04fUybnzfD8vPpgtMdMDiVJEnSfdykBlsSTPmwXmDTNl81w/JB+maLUBdJkiRJmlrT3nO6TpIcABzQPt6Y5Nw+66OJ9VDg6r4roYll+9BsbB+aje1jUk1G76TtYylb9za2UO3jEetSeNqD00HP6KYzLB+kXz9uYVUdDRw935XS0pLk7Krase96aDLZPjQb24dmY/vQbGwfms2kto9pH9Y76OncYYbl27f5TPekSpIkSZLmwbQHp99o8+cm+W/HIsmDgF2Am4FvLXbFJEmSJGmaTHVwWlUXAl8FtgP+aGTxYcAmwKeq6qZFrpqWFod+aza2D83G9qHZ2D40G9uHZjOR7SO1RN+RM1dJHg2cCWwJnAT8CHga3TtQzwN2rqpr+quhJEmSJC19Ux+cAiTZBvhTYA9gC+BnwOeBw6rquj7rJkmSJEnTwOBUkiRJktS7qb7nVAJIskWS1yb5fJILktySZFWS05P8wejDsobK7Zzk5CTXtjLfT3JQkvVm2dYLkqxs678xyVlJ9l1N/fZN8u2Wf1Ur/4J13W+tvSSvTFJteu0MeRb8XCdZL8nBre3d0triyUl2Xtd91JpJ8pz2HXJFktuSXJ7kK0mePyav3x1TJMnvJPlqksva+b4oyQlJdpohv+1jiUmyPMlRSf41yQ3t2nHsaspMZDvwujP/1qR9JNk+yVuTnJLk0iS3J/l5kpOS7L6a7Sz4uU5y/ySHJTk3ya1Jrkzy2SSPm/MBqSonp6megAOBAi4HPg38GfB3dO+3LeBE2iiDoTJ7AXcCNwJ/C/w5cE7Lf8IM23l9W3418FHgw8ClLe3wGcoc3pZf2vJ/FLimpb2+72M3jROwTWsbv2jn4bV9nGsgwAlt+TmtDf5ta5N3Anv1faymZQI+NHTujgbeD3wc+C7woZG8fndM0QR8cOjcfQL4QLum3A7cDbzS9rH0J+Df27H9Bd2zTQo4dpb8E9kOvO703z6A49ry/wT+hu436z+241/AG/o618BGwOmtzHfa999ngDuAm4Cnzel49H1CnJz6noBnA3sC9xtJ3wr4SftP9pKh9AcDVwK3ATsOpW9M93CtAvYZWdd2wK3ti2C7ofSHABe0MjuNlNm5pV8APGRkXde09W23LvvutMZtJcC/ABe2L+p7BaeLda6Bl7cyZwAbD6U/pbXNK4EH9X3MlvoE7N/OwzHAhmOWbzD0b787pmhq15C7gCuALUeW7d7O0UW2j6U/tfO9fbuG7MbswcfEtgO87kxC+9gPePKY9F3p/uh1G/CwPs418PZW5gSGflPT/bFlEFDfb3XHw2G9mnpVdUpVfbGq7h5JvwL4WPu429Ci5cAy4LiqOnso/63Au9rH141s5vfp/qL0kaq6ZKjMdXS9LND14A4bfH5fDT2Yq5X/aFvfa1a/h5pHb6D7Y8Zr6P4KOM5inetBG3tXa3uDMt8Bjqdro8vnslNaO0k2At5H90esA6rq9tE8VXXH0Ee/O6bLI+hunzqrqq4cXlBV36DrJVk2lGz7WKKq6htVdX61X+qrMcntwOvOAliT9lFVx1TV98aknwqsBDakC0aHLfi5TpKh7bxl+Dd1VZ0E/Cvwa3RB9KwMTqXZDX5Y3jmU9uw2//KY/KcBNwM7tx+ucynzpZE861JGC6TdL/EB4C+r6rRZsi74uU6yMd3F52a6L/y5bkfz67foLtD/CNzd7i18a5I3znA/od8d0+V8up6MpyZ56PCCJM8CHkQ3EmPA9iGY0Hbgdec+YdxvVlicc/1oYFvgvKq6eI5lxjI4lWaQZH3g1e3j8H/ox7T5eaNlqupO4GJgfeBRcyzzM7peuK2TPKBtexPg4cCNbfmo89t8hzntjNZJawufoushe8dqsi/GuX40sB7dkMDRi9BMZTT/ntLmtwLfA/6Z7g8YRwBnJjk1yXDPmN8dU6SqrgXeCvwK8MMkRyf5sySfBb4KfA34w6Eitg/B5LYDrzsTLMkjgOfQBZSnDaUv1rmesQ3OUmYsg1NpZh8Afh04uaq+MpS+aZuvmqHcIH2ztSiz6ch8TbahhfNu4MnAflV1y2ryLsa5tn1Mhi3b/M1099M8k6437Il0wcez6O69GfC7Y8pU1RHA79IFE/sDbwP2pnsoyTEjw31tH4LJbQe2nQnVetE/TTc8d8Xw0F0W71zPW/swOJXGSPIG4BC6J5S9qufqqEdJnkbXW/oXVfXNvuujiTK4ht4JvLCqTq+qG6vqB8CLgcuAXWd6ZYiWviRvoXs67zF0vRGbAP8TuAj4dJIP9Vc7Sfd17dVCnwJ2obsX9PB+a7TuDE6lEUleD/wl8ENg9zY0a9joXyBHDdKvX4syq0bma7INzbM2nPfv6Yap/Mkciy3GubZ9TIbB8f3e8ENIAKrqZmAw4uKpbe53xxRJshvdqxS+UFVvqqqLqurmqvou3R8vfgockmQwPNP2IZjcdmDbmTAtMD2WbjTGZ+leTTX6UKXFOtfz1j4MTqUhSQ4CjgL+gy4wvWJMtnPb/F7j5lsw80i6npSL5ljmYXR/Tb+s/aClqm6i++HywLZ81PZtPtPYfs2PB9Kds8cBt7YXY1eSAt7T8ny8pR3RPi/Gub6Q7hUVj2ptbi5lNP8G53qmi+1gaNX9R/L73TEdBi+3/8bogna+vk33O+zJLdn2IZjcduB1Z4Ik2QD4B2AfuneJ/t64+0MX8VzP2AZnKTOWwanUJHkr3YuJ/50uML1yhqyntPkeY5Y9C3gAcGZV3TbHMs8bybMuZTS/bqN76fS4afAo99Pb58GQ3wU/1+2x7mfStbVnrsF2NL++Tnev6a8lGXc9/fU2Hzy50O+O6TJ4muqyGZYP0gevILJ9CCa0HXjdmRxJNqR7nsHedKO7XlVVd81SZDHO9YV0D43cIckj51hmvNlegurkNC0T3ZDNAs4GNl9N3gcDV7FmL8h+JL4ofUlNwIp2fl7bx7lmbi/IfnDfx2mpT8BJ7TwcPJL+XOBuut7TTVua3x1TNAEvbefhCuDhI8ue19rHLcAWto/pmejem17AsTMsn9h24HVnItrHRsD/a3k+AdxvDutclHMNvL2VOWG4XsBeLf0/51LftELS1EqyL93DKu6iG9I77kljl1TVMUNlXkT3kItbgeOAa4EX0j1K+0TgpTXynyvJHwNH0n0RHE/31/LlwNZ0D9s5dEzd/gJ4E92DVU6ke7nyy4AtgD+uqo+s5W5rHSVZQTe0d/+q+sTIsgU/1+2F159t6z0H+GLL+zK6HzEvqe7F11pASbam+8G4DV1P6vfofii+iHt+RH5uKL/fHVOi9aZ/BfhN4BfA5+kC1cfRDfkNcFBV/eVQGdvHEtTO64vax62A36Ybljt4h+TVw+dpUtuB152FsSbtI8kngf2Aq4G/orvOjFpZVStHtrHg57o9NfgUumD4bLpr4rZ0Pby3A8+uqrNWe0D6/guBk1PfE/f0gM02rRxTbhfgZLqekVuAHwAHA+vNsq09gVPpfqjcBHwH2Hc19duv5buplTsVeEHfx23aJ2boOV3Mc033eoqDW9u7pbXFk4Gd+z4+0zTRDc88CvhxuwBfTReIPHWG/H53TMkEbAAcBHwLuIHuXsEr6d6J+1zbx3RMc/idccl9pR143em3fQArV5O36F4n08u5phsK/Kd07zW9jW4UwAnAr831eNhzKkmSJEnqnQ9EkiRJkiT1zuBUkiRJktQ7g1NJkiRJUu8MTiVJkiRJvTM4lSRJkiT1zuBUkiRJktQ7g1NJkiRJUu8MTiVJkiRJvTM4lSRJkiT1zuBUkiRJktQ7g1NJkiRJUu8MTiVJkiRJvTM4lSRJkiT1zuBUkiTNSZKVSarvesyHJCuSVJLd+q6LJKljcCpJWnQtKBiebktyVZLvJvlEkuclWa/vei5V7Ziv7LseCynJfm0/9+u7LpKkuVm/7wpIkqbaYW2+HrAZ8HjgVcAfAGcneUVVnddX5SRJ0uIxOJUk9aaqVoymJfkV4Chgb+BfkuxYVVcudt0kSdLiclivJGmiVNXPgX2AlcA2wDtG8yTZPsnfJ/lpktuTXN4+bz9unUnWS3JgkjOSrEpyS5IL2hDi7YfyHdOGgm43Zh27tWUrRtJXtvQNkrw7yYVJbk1ybpL9h/IdmOQHbduXJTksydjrcJKnJTkxyRVt/y5N8jdJfnVM3sH210/yjiTnt2HSlyb5YJINh/LuN3TP6K4jQ6tXjK57TST57SQnJ7m6bf/CJH+eZLMxeS9p0yYtz09amQuSvDVJxpRJkjcm+WE7vj9N8pEkmw7WN3xMgE+2j58c2c/txqx7eZJvJ7k5ybVJjkvy8HU5HpKkNWfPqSRp4lTV3UneC+wGvDzJwVVVAEmeAvwL8CDgC8APgccCrwT2SvKbVfWdwbpacPbPwG8BlwKfAW4AtgNeDJwOnD8P1T4OeBpwMnAHsBw4OskdwBOBfVs9vg68EHg3cDPwweGVJPl94GjgtrZ/lwLbA68F9kzy9Kr6yZjtfwZ4JvCltn/PB94CbAm8puX5d7qh1O8BfgwcM1R+5drueJL3ACuAa9s+Xtn2+VDg+Ul2qqobRoptAHwF+NVW5zuBFwEfADbmniHfAx8FXgdcTnd8bqc7jk9t67pjKO8xwPXAXsBJdPs9cP3Iev9XW88XgFPpzuHLgCcl+Y2qum1uR0GStM6qysnJycnJaVEnoLpL0Kx5NqILOAp4ZEsL8KOW9oqR/C9r6ecA9xtKf39L/wKw0ZhtLBv6fEzLu92Y+uzWlq0YSV/Z0r8DbDaU/ii6AOo64GLg4UPLNgOuBq4C1h9K36GVuWA4f1v2HOAu4PMzbP/fgM2H0jdp67kL2GrM8V+5Fudt5eh5A3Zv6ztzeP/bsv3asg+PpF/S0k8G7j+UviVd8Hg9sMFQ+jNb/nNHjvGGwGlt2SUzbHu/GfZlRVt+A/CEkWWfacte2vf/FScnJ6dpmhzWK0maSNX1WF3TPi5r853pekm/WVWfHsl/PF0v6GOAZ0A3nJeuZ+wW4MAa6QWrqtuq6qp5qvLbquqXvXJVdVGrz2bA/66qnw4tux74IvBQYHj46OvoegHfOJy/lfk6XYC9Z5IHjdn+W6vq2qH8NwGfpruFZ8d13LfZvKHN9x/e/1aHY+h6LV8xU9mqumUo/5V0PZ2b0p3HgX3b/H0jx/h24O3rVHs4sqp+MJL28TZ/6jquW5K0BhzWK0maZIN7Dwf3Sf6PNj9lhvyn0AWmT6brUXssXaBzVlVdvlCVbM4ekzbY5r+NWTYIPremG2ILsFOb79qGL4/aku7JxjuMWee47V/a5g8ZV+F5shNdD/feSfYes3xDYFmSLarqmqH0VVV1wZj84+r85DY/fUz+b9ENCV5bfR03SdIIg1NJ0kRKsjGwefs46N3ctM1/NkOxQfpmI/Ofjsk7r6pq1ZjkQdA027INhtK2aPM3r2ZzDxyz/dF7KYe3sZDvjN2C7vfEe1aT74Hc0xMO9773c2BcnQfn/eejmavqriTXjKavgb6OmyRphMGpJGlSPYPuOvXzqrqkpQ2CvK1mKPOwkXyDwGOuT169u83HXR/v9dTZBTCo96Z17wcITapVdPf4br7anGtvcCx+BbhoeEEbur0Fi/AHCEnSwvKeU0nSxGmvWHln+/iZoUXfa/PdZii6e5t/t83PoQtQnzjuNSxjXNfm24xZtpD3bQ58q82fucDbuZv56xX8FvCQJI+fp/WNMzjvzxiz7OmM/2PCXW1u76ck3UcYnEqSJkqSLeley7Ib8BO6p+0OnEH3xNZnJFk+Um45XVB3Hu3exKq6C/gr4P7Ax5JsNFJmwyTLhpK+3eb7j+R7AvDGddqxufkI3f2bH06yw+jCVt/5CFyvYXwAvjY+3OYfn+E9rJskefo6buPv2/ydSQZDfAevCXr/+CK/HEK87TpuW5K0SBzWK0nqTZIV7Z/3oxs2+3i63rEN6QLFV1TV1YP8VVVJ9gW+Bhyf5CS63tHH0L0j8xfAq6vqbu5xGN27K/cEzkvyzy3fNsBz6e7vPKblPYnunacvT7I1cBZdcDN4X+ZL53H376WqzmnvOf074D+TfJku2N6g1eOZdPffPnYdN/V1YJ8kX6TrZb4DOK2qTluLOn89yduAPwPOT3Iy3atzHgg8AtiV7o8Fe6xtZavq1CRHAwfQHZfPtTrvSTes+HLuGZI98E2698gelGQL4IqWftQM9wdLknpmcCpJ6tPgITq30wWMP6brJfsc8NWRIBOAqjqrPcn2XcBv0gUoVwP/QPfKlnNH8t+eZA/gQODVdK8lCV1A83mGngBbVbcmeQ5wOPBbwFOA/wB+D7iWBQ5OWx2OTfL/gUPohik/F7ip1fdE4Ph52Mwb6Z6A/Bzg+XR/HDiM7gnHa1PnDyY5g+61Ms+gC+ZX0d0HejT/fWj22nod3R8i/pDuXF5Dd/7eAVwGXDhSp+uSvISuje1H995XgGMZ/4AqSVLPUlWrzyVJkjSBkmxP17t8XFW9vO/6SJLWnvecSpKkiZdkq/agrOG0BwBHtI+fX/xaSZLmk8N6JUnSfcFBdPcCr6R7n+1WdMOStwa+BJzQX9UkSfPB4FSSJN0XfA14Et09uJsDd9IN5z0SOKK8T0mS7vO851SSJEmS1DvvOZUkSZIk9c7gVJIkSZLUO4NTSZIkSVLvDE4lSZIkSb0zOJUkSZIk9c7gVJIkSZLUu/8C6KNJ02BQVKcAAAAASUVORK5CYII=\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "draw_document_lengths_histogram(\n", + " train_dataset.data,\n", + " low_outlier_percentile_bound=95,\n", + " upper_outlier_percentile_bound=100,\n", + " bins=20\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "suspiciously_long_texts = [\n", + " t for t in train_dataset.data\n", + " if len(t.split()) >= 2000\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(suspiciously_long_texts)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(suspiciously_long_texts[0][:1000])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, there are some very long documents.\n", + "Some of them contain excerpts from other books." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And here is a more compact version, combining all the three mentioned plots" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def draw_statistics(texts, figsize=(20, 15), font_size=16):\n", + " old_font_size = plt.rcParams['font.size']\n", + " plt.rcParams.update({'font.size': font_size})\n", + "\n", + " fig, axes = plt.subplots(2, 2, figsize=figsize)\n", + " \n", + " draw_zipfs_plot(\n", + " texts,\n", + " ax=axes[0][0]\n", + " )\n", + " draw_document_lengths_histogram(\n", + " texts,\n", + " ax=axes[0][1]\n", + " )\n", + " draw_heaps_plot(\n", + " texts,\n", + " ax=axes[1][0],\n", + " in_symbols=True\n", + " )\n", + " draw_heaps_plot(\n", + " texts,\n", + " ax=axes[1][1],\n", + " in_symbols=False\n", + " )\n", + " \n", + " plt.show()\n", + " \n", + " plt.rcParams.update({'font.size': old_font_size})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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22TvLvPvyGkWxgQGsuFD/jRSzyt7S9J6fT7EkR5XZwJarkMuPKIp8H2/8+YqIdXhmcftV3TxAw5RrfEmqRXk73s8obtW7ieIP7cpe8svMHMhVnRuAWyLiXIodGN9AsWjq1zLzhpW+cuW+DmwaEddRbBMdFDOudqbYmv2uVT1guWbCtyimst8cERfzzG2U19C641Cf6RSDihVmdWXmknKdr75ttV3fS5LUaV7QsKD7WGBT4GXAC4DFwNGZ+Z2m1xxLMcPj8+UO0DdR/I08BHgS+EBfx8xcFBFvBS4BflX+bb2V4u/r7hSzi15f9v1t+Xd9P+D6iLiWYsxwMHBhefy15TMU63QeAxwUEf/LM4WBXcv3txmwYDWPfzXFWOALEbE9xW1qf8vMb6zGsb5F8Rm9HXhFRPyaYm21vlvydgH2YPXXlfoixbpWH4+IXYDfU8ymPwi4HHg1K+64eCdFcfMtEbGYYuHyBL6+GpsOjQP+LyLupPi5epDiVr2DgMYCS78y89cRcRbF7uG3RMQFFDP63wpcBbxuAHnsDPw8In5HMSPwcYp11V5Pcbvj1xv6DuZn2+xXwG8j4scUs7peR7FT+AWZ2VeYJjMfKTd7ehtwY7nm7cYUvzOXUXyezX4NvCkifgncTFHUuiAz/1SVSGbeHRGfoNi5/E8R8VOKsf0hwFTgm5lZtfC91MLCl6S6TOaZq1j7lY+VuY+BTWf+CPAWitsmt6DY4eljFDPL1kTfoGxXigVHFwH3UiyIetoaHPffKWa8vYtiLYmHKdaT+ALF/wBU6VvnK2id1XU1xffS9b0kSZ3o+TyzSPpCiv+5vp1i5sb3M/Oh5hdk5hMRsTtFseggir9zsylm2nw2M2c09b82InalmPH9j8ABFAWyPwLNRbWDga9SXHTakeJ2rgMp1ghba4WvskC3P8XyBO8E3kxxMfBRiiUNvkBxy+fqHv/2cl2ojwEfpigy3g+scnGk3FXwHRFxKfAeiu/ZeIrizB3ABymWrFjdXOeWt7meSPG934Pis3oNxQXMV9OwW2VmLo+IN5T938ozC+T/kFVfz3U+xVjslRTF1Y0ofrZuBf4lMy8c4HGOAP5KMf48imKMeCxFkW4gha8bgJMo1nA9kKJw9ijFkhonNhaHBvOzrfAVih0lj6KYkfg48HmemfXV6D0UP6NvphjD3gW8j6IoWVX46psJth/FexxBUbSsLHwBZOaXI+Juis2lDi9fcwfwhYoCudSvWL3dUSWps0TEmcBhwNaZeV+92UiSJGlNlTPhXgasN4DdFSWpkmt8SZIkSZJq07g+a0PsLRSLw//aopekNeGtjpIkSZKkOl0REU9R3Gq6CNiJ4vbDeTyzaY8krRZnfEmSJEmS6nQmxULzb6NYX2oHit08XzrAzY0kqV+u8SVJkiRJkqQhyVsd19CGG26YU6dOrTsNSZK0ltx4442zMnOjuvPQihyDSZI0tA3WGMzC1xqaOnUqN9xwQ91pSJKktSQi7q87B7VyDCZJ0tA2WGMw1/iSJEmSJEnSkGThS5IkSZIkSUOShS9JkiRJkiQNSRa+JEmSJEmSNCRZ+JIkSZIkSdKQZOFLkiRJkiRJQ5KFL0mSJEmSJA1JFr4kSZIkSZI0JFn4kiRJkiRJ0pBk4UuSJEmSJElDkoUvSZIkSZIkDUkWviRJkiRJkjQkjao7Aa3o6TvuYNFjjwEwfqutmPDc59ackSRJkiRJUney8NVh7j7pJB4444y/f73ZIYew6znnMHLs2BqzkiRJkiRJ6j7e6tjhHv3FL3jsl7+sOw1JkiRJkqSuY+Grw/zthhtaYnP+8IcaMpEkSZIkSepuFr46zNw//7kl1rtoUQ2ZSJIkqT/nR3B+RN1pSJKkZ2Hhq8NMeN7zWmJVs8AkSZIkSZK0cha+OswLPvOZltj8e++tIRNJkiRJkqTuZuGrwyx+7LGW2OQ99qghE0mSJEmSpO5m4avDrLvDDi2x5QsX1pCJJEmSJElSd7Pw1WFGjh/fEpt55ZU1ZCJJkiRJktTdLHx1mordgUZPnlxDIpIkSZIkSd3NwleHGTlhQkusZ9NNa8hEkiRJkiSpu1n46jCj11+/Jfb07bfXkIkkSZIkSVJ3s/DVYUb29NSdgiRJkiRJ0pBg4avDVC1uHyNH1pCJJEmSJElSd7Pw1WGq1viy8CVJkiRJkrTqLHx1mBGjRrXEepctqyETSZIkSZKk7mbhq9OMqPhIenvJ3t725yJJkiRJktTFLHx1mIggKmZ95fLlNWQjSZIkSZLUvSx8daCqwlfv0qU1ZCJJkiRJktS9LHx1oMoZX67zJUmSJEmStEosfHWgqFjna+GDD9aQiSRJkhqdH8H5EXWnIUmSBsjCVwdaNnduS2z5/Pk1ZCJJkiRJktS9LHx1oJHrrNMSW75oUQ2ZSJIkSZIkdS8LXx1o0u67t8Tm//WvNWQiSZIkSZLUvSx8daDl8+a1xJZ5q6MkSZIkSdIqsfDVgf52ww0tsRFjxtSQiSRJkiRJUvey8NWBpn7wgy2xJU8+WUMmkiRJEBHTIyL7eVzW0G9SRHw3ImZFxPyIuCoidqw4Xk9EnBQRj0bEwoi4PiL2au+7kiRJw4GFrw40cty4ltgTl11W0VOSJKktPgjs0fQ4umy7ACAiArgQOAD4MHAoMBq4OiK2bDre94D3Ap8BpgGPApdHxM5r921IkqThZlTdCajVgnvvbYmtv9tuNWQiSZIEmXl7cywi3gssAX5chg4C9gT2y8yryz7XAzOAY4GjythOwNuAIzLzjDJ2DXAbcHx5HEmSpEHhjK8ONP55z2uJ9S5eXEMmkiRJrSJiPPBG4MLMnF2GDwIe6St6AWTmUxSzwA5uePlBwFLg3IZ+yygKaK+OiLFrOX1JkjSMWPjqQOtss01LbNb06e1PRJIkqdohwETg+w2x7YFbK/reBkyJiHUa+s3IzAUV/cYArQMhSZKk1WThqwONGNt6oXPpnDk1ZCJJklTpXcATwKUNsclA1YClb0bYpAH2m9zfSSPifRFxQ0TcMHPmzFXLWJIkDUsWvjrQklmzWmLr7bJLDZlIkiStKCI2B/4ROLu8RbFtMvP0zNwtM3fbaKON2nlqSZLUpSx8daB1X/ziltiyuXNryESSJKnFOyjGkN9vis/hmVldjSY3tA+k3+yKNkmSpNVi4asDjejpaYnNvu66GjKRJElqcRhwS2be0hS/jWL9rmYvAh7IzHkN/bYuF8hv7rcEuHswk5UkScObha8OFCNaP5ZREyfWkIkkSdIzImI3igJV82wvgAuALSJi74b+6wIHlm19LgRGU+wK2ddvFPBm4IrMdCtrSZI0aEbVnYBajd1445bY6PXXryETSZKkFbwLWAacXdF2AXA98MOIOIbilsbjgAC+3NcpM2+OiHOBUyJiNDAD+ACwNfD2tZu+JEkabpzx1YFGrrNOS2zhgw/WkIkkSVKhLFK9FbgsM59obs/MXmAacCXwTeAXwHJg38xsHsgcDpwBnABcDDwHOCAzb1p770CSJA1HzvjqQCMr1viSJEmqU2YuBVa6lWJmzgaOKB8r67cQOLp8SJIkrTXO+OpAIydMqIz3LlnS5kwkSZK0MudHcH5E3WlIkqR+WPjqQCNGVU/EW75oUZszkSRJkiRJ6l4WvjpU1S6OvRa+JEmSJEmSBszCV4catd56LbGlTz1VQyaSJEmSJEndycJXh1r00EMtsVy+vIZMJEmSJEmSupOFry7irY6SJEmSJEkDN6QLXxGxZ0RcERFPRMTTEXFTRBzR1KcnIk6KiEcjYmFEXB8Re9WVc59Ju+/eElsye3YNmUiSJEmSJHWnIVv4iogXA1cBo4H3Am8A/gB8LyI+0ND1e2X7Z4BpwKPA5RGxc3szbjKi9aOZf889NSQiSZIkSZLUnUbVncBa9BZgJHBgZs4rY1eWBbF3Ad+KiJ2AtwFHZOYZABFxDXAbcDxwUPvTLsy5/vqW2Mjx42vIRJIkSZIkqTsN2RlfwBhgKbCwKf4Uz7zvg8o+5/Y1ZuYy4MfAqyNibBvyrLTZIYe0xFzjS5IkSZIkaeCGcuHrzPL5axGxeUSsHxHvBV4JnFy2bQ/MyMwFTa+9jaJwtk1bMq0wdtNNW2KPX3xxDZlIkiRJkiR1pyF7q2Nm3hoR+wC/AD5YhpcC/5KZPy6/ngzMqXj57Ib2FhHxPuB9AFOmTBmslFewZNasltj4qVPXyrkkSZIkSZKGoiFb+IqI5wM/p5i99S8UtzweDHw7IhZl5tmre+zMPB04HWC33XbLQUi39Ry9va3BiLVxKkmSJK3E+Y7BJEnqWkP5VscvUMzwmpaZF2XmrzLzKOAnwKkRMYJittekitf2zfSaXdHWFhvus09L7Ok77mh/IpIkSZIkSV1qKBe+dgRuycylTfHfAxsAG1PMBts6Ipq3S3wRsAS4e61n2Y+RPT0tsSevuaaGTCRJkiRJkrrTUC58PQbsHBFjmuK7A4soZnNdCIwG3tjXGBGjgDcDV2Tm4jbl2mLxzJktsQ3326+GTCRJkiRJkrrTkF3jC/gG8FPgwoj4JsUaXwcBbwVOzswlwM0RcS5wSkSMBmYAHwC2Bt5eT9qFdXfYoSXWu2hRDZlIkiRJkiR1pyFb+MrMn0XEa4F/A74L9AD3AEcCpzV0PRz4PHACsD5wC3BAZt7U3oxXNGq99VpiM6+6qoZMJEmSJEmSutOQLXwBZOalwKXP0mchcHT56BgjxjTfoSlJkiRJkqRVMZTX+OpqYzfeuCU2ZqONashEkiRJkiSpO1n46lBjNtigJbakYsF7SZIkSZIkVbPw1aFGjB1bdwqSJEmSJEldzcJXh+qv8LVk9uw2ZyJJkiRJktSdLHx1qIiojC+bN6/NmUiSJEmSJHUnC18dbNS667bEehcvriETSZIkSZKk7mPhq4ONe85zWmILH3ywhkwkSZIkSZK6j4WvDvb07be3xHLZshoykSRJkiRJ6j4WvjpZZkuod8mSGhKRJEmSJEnqPha+Othmhx7aElswY0YNmUiSJEmSJHUfC18dbGRPT0tszm9/W0MmkiRJkiRJ3cfCVwf72403tsR6ttyyhkwkSZIkSZK6j4WvDrbpwQe3xJYvXFhDJpIkSZIkSd3HwlcHG7/VVi2xGV//eg2ZSJIkSZIkdR8LX52sYlfHCS94QQ2JSJIkQUS8NiKujYh5ETE3Im6IiP0a2idFxHcjYlZEzI+IqyJix4rj9ETESRHxaEQsjIjrI2Kv9r4bSZI0HFj46mCj1luvJTZmgw1qyESSJA13EfF+4HzgRuAQ4I3AT4HxZXsAFwIHAB8GDgVGA1dHRPMipd8D3gt8BpgGPApcHhE7r/13IkmShpNRdSeg/k184QtbYnN+97saMpEkScNZREwFTgGOycxTGpoub/j3QcCewH6ZeXX5uuuBGcCxwFFlbCfgbcARmXlGGbsGuA04vjyOJEnSoHDGVwcb0dPTGuztbX8ikiRpuDsC6AW+vZI+BwGP9BW9ADLzKYpZYAc39VsKnNvQbxnwY+DVETF2EPOWJEnDnIWvDtbfbY1ZsfaXJEnSWvRy4E7gLRFxT0Qsi4i7I+LIhj7bA7dWvPY2YEpErNPQb0ZmLqjoNwbYZpBzlyRJw5iFrw7Ws+mmlfFctqzNmUiSpGFuc+D5wEnAl4D9gSuBb0TER8o+k4E5Fa+dXT5PGmC/yf0lERHvKxfUv2HmzJmr9g4kSdKwZOGrCy1ftKjuFCRJ0vAyApgIvD8zv5OZv87MDwCXAceVC9uvdZl5embulpm7bbTRRu04pSRJ6nIWvjpc1e2OC2bMqCETSZI0jD1ZPl/ZFL8C2ATYjGIW1yRa9c3gmtPwvLJ+syvaJEmSVouFrw635MknW2JLZzselCRJbXXbs7T3ln22r2h7EfBAZs5rONbWETG+ot8S4O41SVSSJKmRha8u5K2OkiSpzX5RPr+6KX4A8FBmPgZcAGwREXv3NUbEusCBZVufC4HRwBsb+o0C3gxckZmLBz99SZI0XI2qOwGt3KYHHshjF164QmzhAw/UlI0kSRqmLgGuBk6LiA2BeykKV/sDh5d9LgCuB34YEcdQ3NJ4HBDAl/sOlJk3R8S5wCkRMRqYAYv2JygAACAASURBVHwA2Bp4e3vejiRJGi6c8dXpRo5sCVn4kiRJjSLi4Ig4vOHrrSLi+oh4OiJ+FhHrrMnxMzOB1wM/Bv4DuAjYHXh7Zp5Z9ukFplGsA/ZNilliy4F9M/PBpkMeDpwBnABcDDwHOCAzb1qTPOt0fsTfH5IkqXNY+Opws37965bY6Mn97vItSZKGp08BjdscfhXYEjgd2Av43JqeIDPnZuaRmblJZo7JzBdn5o+a+szOzCMyc3Jmjs/MV2bmLRXHWpiZR2fmppnZk5m7Z+b0Nc1RkiSpmYWvDvecww5riS2fN6+ipyRJGsaeB/wJICLGAa8Fjs7MjwGfAA6pMTdJkqTaWPjqcGM22KAldv93v1tDJpIkqYP1AAvLf7+MYh3XK8qv7wI2ryMpSZKkuln46nDL5s5tia23yy41ZCJJkjrYfcDLy38fDNyYmU+VX28MPFX1IkmSpKHOXR07XNV6XlGx4L0kSRrWTgO+EhGHADtT7JLYZw/g9lqykiRJqpmFrw633s47t8Qeu+CCGjKRJEmdKjNPjYhZwEuBr2XmDxqaJwJn1pKYJElSzSx8dbgRY8e2xHL58hoykSRJnSoipgA/ycyzK5o/BGzW5pQkSZI6gmt8dbixG23UEhs5YUINmUiSpA42A+hvEdAXl+2SJEnDjoWvDjdxu+1aYsvnz68hE0mS1MFiJW2jgd52JSJJktRJvNWxw8Xo0ZXx3mXLGDHKj0+SpOEqItYHGnfB2SIintvUbRxwGPBY2xKTJEnqIFZOOlxEMKKnh95Fi1aIL3zgASY8t3lsK0mShpGPAJ8Fsnz8rJ9+UfaTJEkadix8dYHmohfAktmzLXxJkjS8/RK4j6Kw9T/ACcA9TX0WA7dn5p/am9rwdn4Ud54enFlzJpIkycJXl+pdvLjuFCRJUo0y8xbgFoCISOCizHyy3qwkSZI6i4vbd4EN99uvJTb3z3+uIRNJktSJMvP7Fr0kSZJaOeOrC1Te6jhzZg2ZSJKkThURhwFvBaYAPU3NmZnPa39WkiRJ9bLw1QWeuvnmltiInubxrCRJGq4i4tPAfwC3An+kWNtLkiRp2LPw1QW2Puoo7j7xxBViix55pKZsJElSB/pn4NTM/GjdiUiSJHUS1/jqAqMmTGiJPXTWWTVkIkmSOtQGwIV1JyFJktRpLHx1gSWzZrXEJr/85TVkIkmSOtQ1wE51JyFJktRpvNWxC0zcYYeWWC5dWkMmkiSpQ/0rcF5EPAlcAsxu7pCZvW3PSpIkqWYWvrrA+K23bok9fsklNWQiSZI61F/K5zP6aU8c90mSpGHIAVAXGOkOjpIkaeWOpyhuSZIkqYGFry4wdtNNW2KjJk6sIRNJktSJMvNzdecgSZLUiVzcvguM23LLltiyp5+uIRNJktTpImKdiNgqIkbXnYskSVLdLHx1gRFjx1bGs9c1aiVJUiEipkXETcBTwL3AjmX8uxHxtlqTkyRJqomFry4QEZXxp++8s82ZSJKkThQRrwfOB2YB/wY0Dh5mAIfVkZckSVLdLHx1sWVz59adgiRJ6gyfBc7IzP2BU5rabgV2aH9KkiRJ9bPw1SXGPec5LbHl8+fXkIkkSepA2wHnlv9u3t1xDrBBe9ORJEnqDBa+usQ6223XEnvkpz+tIRNJktSB5gIb9tM2FZjZvlQkSZI6h4WvLrH48cdbYv0tei9JkoadK4HjImL9hlhGxFjgQ8Cl9aQlSZJUr1F1J6CBGb3++i2xzOY7GSRJ0jD1SeD3wF3AJRS3O/478GJgPeD19aUmSZJUH2d8dYkt39a6C/mj551XQyaSJKnTZOZ9wD8AFwGvApYDewG/BXbPzEfqy06SJKk+zvjqEiN6elpiix5+uIZMJElSJ8rMh4B/rjsPSZKkTuKMry4xer31WmJjN9mkhkwkSZIkSZK6gzO+usTkPfdsiVUteC9JkoaniDgAeCPwHKB5qnhm5t7tz6q7nR9RdwqSJGkNDfkZXxHx2oi4NiLmRcTciLghIvZraJ8UEd+NiFkRMT8iroqIHevMucqoCRMq4y5wL0mSIuJYikXtpwETKNb4anz0ruHx94mIrHj8ranfgMZVEdETESdFxKMRsTAiro+IvdYkR0mSpCpDesZXRLwf+Eb5+E+KQt/OwPiyPYALganAh4E5wHHA1RGxc7lWRkcYMXZsZXzeX/7CxG23bXM2kiSpw3wIOA34UGYuX4vnOQr4Q8PXy/r+sYrjqu8BrwOOAe4FjgQuj4g9MvOPazF/SZI0zAzZwldETAVOAY7JzFMami5v+PdBwJ7Afpl5dfm664EZwLEUg7uOECOqJ+cteeIJsPAlSdJwty7w07Vc9AK4IzN/20/bgMZVEbET8DbgiMw8o4xdA9wGHF8eR5IkaVAM5Vsdj6CY1v/tlfQ5CHikb3AGkJlPUVytPHjtprfqRk2c2BJbvmBBDZlIkqQOcznw0ppzGOi46iBgKXBuQ79lwI+BV0dE9TR3SZKk1TCUC18vB+4E3hIR90TEsoi4OyKObOizPXBrxWtvA6ZExDrtSHSgNtirdemLB77//RoykSRJHeZDwGsj4riI2DUintv8GKTznB0RyyPiyYj4UURMaWgb6Lhqe2BGZjZfvbsNGANsM0i5SpIkDd1bHYHNy8dJwCeAeyh2OvpGRIzKzFOBycB9Fa+dXT5PAuY1N0bE+4D3AUyZMqW5ea1Z9vTTLbFcvrbvaJAkSV0ggaeBzwMn9NNn5Boc/yngv4BrgLnALhTjq+sjYpfMfIKBj6smU6z/1V+/yf0lUdcYTJIkda+hXPgaAUwE3p2Z55WxX5drfx0XEV9b3QNn5unA6QC77bZb27ZVHFmxs+OIUUP5I5QkSQN0JvAy4GSKGe9LBvPgmXkzcHND6JqIuBb4PcXaXZ8azPOtJI9axmCSJKl7DeWqyZPA84Erm+JXAAcAm1FcbZxU8dq+K41VVyNrM+Xww3ni0ktXiD10zjnsevbZNWUkSZI6xL7AkZl5ZrtOmJk3RcRfgJeUoYGOq+YAW62k3+yKNkmSpNUylNf4uu1Z2nvLPttXtL0IeCAzW25zrNPInp7WYHqxU5IkMRN4vKZz9w1GBjquug3YOiLGV/RbAty9VrKUJEnD0lAufP2ifH51U/wA4KHMfAy4ANgiIvbua4yIdYEDy7aO0rPllpXx5QsXtjkTSZLUYb4GfDAi2ja2i4jdgG0pbneEgY+rLgRGU6y92tdvFPBm4IrMXLyWU5ckScPIUL7V8RLgauC0iNgQuJdigLU/cHjZ5wLgeuCHEXEMxdT744AAvtz2jJ/FejvvXBnvXbyYkePGtTkbSZLUQSYBOwC3R8SVtC7XkJn52dU9eEScDcwAbgL+RrG4/XHAwxRFNxjguCozb46Ic4FTImJ0edwPAFsDb1/dHCVJkqoM2cJXZmZEvB74IvAfFAPCO4G3Z+aPyj69ETEN+ArwTaCHYsC2b2Y+WE/m/YsIRvT00Lto0QrxZQsWMHr99WvKSpIkdYBPNvz7BRXtCax24Qu4FXgr8GFgPPAYcB7w2cycBas8rjqcZ3agXB+4BTggM29agxwlSZJaDNnCF0BmzgWOLB/99ZkNHFE+Ot7YjTZi4YMrjh2f/vOfGbf55jVlJEmS6paZa/UWx8z8IsXFxGfrN6BxVWYuBI4uH5IkSWtNrWt8RcTEOs/fjZqLXgC9S5fWkIkkSZIkSVJnq3tx+0ci4rSI2KXmPLrG+KlTW2Iubi9JkiRJktSq7sLXqcA04IaI+ENEHFGxtbUaTH7Zy1piD511Vg2ZSJKkThERvRGxfGWPunOUJEmqQ61rfGXmpyLis8DBwPuB7wBfjYizgNMy89Y68+tEvUuWtMSWL3bXb0mShrnjKRawb7QBxW7WY4Ez252QJElSJ6h9cfvMXE6xK9B5EfFc4L0UO/18MCKuB74NnJuZLmQFZDaPaWHUOuvUkIkkSeoUmfm5qnhEjAQuBJ5qa0KSJEkdou5bHZs9CTwCzAYC2BT4PnB3ROxRZ2KdYsphh7XEnrj00hoykSRJna68wPhN4F/rzkWSJKkOHVH4iojdI+J/gIeBLwDXAbtm5jbAjsADwOk1ptgxRowb1xJzcXtJkrQSY4HJdSchSZJUh1pvdYyID1Cs7bUj8Ffgk8CZmfn36fiZeXtEfBq4qp4sO0vPJptUxpctWMCo8e4LIEnScBQRUyrCY4AdgC8BN7Q3I0mSpM5Q9xpfXwMuAD6Wmb9aSb+/Al9sT0qdbeIOO1TGexctAgtfkiQNV/fRurg9FEtH3AMc2dZsJEmSOkTdha+tMvORZ+uUmQ8Dn25DPh0vIohRo8hly1aIL5k9mzGTvYtBkqRh6ghaC1+LgPuBP5RrfUmSJA07dRe+xkfEyzPzN80NEbEn8Fhm3lNDXh1t3JZbsuC++1aIzbzqKtbZZpt6EpIkSbXKzDPrzkGtzo9oiR1csUO3JElae+pe3P5U4A39tB0CnNzGXLpGc9ELoHfx4vYnIkmSOkJEvCAi9u6nba+IeH67c5IkSeoEdRe+XgJM76dtOrB72zLpIuu/5CUtsd5Fi2rIRJIkdYhTgAP7aZuGFxMlSdIwVXfha12K9SeqLAHWa2MuXWPjV7+6JXbPqafWkIkkSeoQuwHX9tN2LcXFRkmSpGGn7sLXvcC+/bTtS7Egq5pVrBcRI0fWkIgkSeoQE+n/YuJSvJgoSZKGqboLXz8Ejo6I90fEaICIGB0R7wc+Cvyg1uw61KiJE1tiYzfZpIZMJElSh7gXeGU/bfsB97UvFUmSpM5Rd+HrROBS4FvA/Ih4BJhffn0J8KUac+tYG++/f0vsqRtvrCETSZLUIX4AfDQijoyIsQARMTYijgT+Ffh+rdlJkiTVZFSdJ8/M5cDrI2J/4FXABsAs4IrMvKrO3DrZyHHjKuOZSVTcBilJkoa8r1Cs4/V14NSImA1MprjI+XOKi42SJEnDTq2Frz6ZeQVwRd15dIvRkydXxhc+8ADjt9qqzdlIkqS6lRcT/yki9gP2pyh69V1MnF5nbpIkSXXqiMIXQERMBnqa45n5SA3pdLSxG25YGV++YEGbM5EkSZ0kM38N/LruPCRJkjpFrYWviJgIfBV4CzC+n25uV1ihZ4stWPTwwyvEFs+cycTttqspI0mSVLeImAbsTTHjazZwdWZeUm9WkiRJ9al7xtc3gDcBZwJ/BhbXmk0XqSp8PX7RRWy41141ZSRJkupSXky8CHgFsAx4kmLt1KMj4n+BaZk5r8YUJUmSalF34es1wLGZ+fWa8+g6T996a0tsRE/LnaKSJGl4+ALwD8A7gR9n5vKIGEkxq/5bZftRNeYnSZJUixEdcP47as6hK224774tsd5Fi2rIRJIkdYBDgU9l5tnlQvdk5vLMPBv4dNkuSZI07NRd+PoJ8Lqac+hKG73qVS2xu086qYZMJElSB9gAuL2fttvLdkmSpGGn7lsdLwK+FhETgEsoFmFdQWZe2/asusCIMWPqTkGSJHWOGcA04MqKtteW7ZIkScNOJxS+AJ4LvAfIhrYov3ZXxwoTnvvcltiYDbyYK0nSMHUa8F8RsQ5wNvAosCnFGl/vAY6uMTdJkqTa1F34ar1fTwMyaY89WmJLnnyyhkwkSVLdMvPkiNiIosD17jIcwBLgS5l5al25SZIk1anWwldm/qrO83ezkf3s4LhkzhzGTJrU5mwkSVLdMvMTEXES8FJgMsUSEr/NzDn1ZiZJklSfumd8ARARk4DdKRZevSQz50TE6MxcWnNqHStGj66Mz77uOjadNq3N2UiSpE5QFrkurTsPSZKkTlF74Ssivgj8KzCWYk2vlwBzgIsj4trMPKHO/DpVRFTGl82b1+ZMJElSHSJir1Xp74ZBkiRpOKq18BUR/wZ8FPgCxS5E1zU0Xwi8DbDw1Y9Npk3j8YsuWiG26OGHa8pGkiS12XSe2RgoWHGToCpuGCRJkoadETWf/33Af2bm8cDvm9r+CmzT/pS6R8/mm7fEHjzrrBoykSRJNdgX2K98HAI8DFwOHA68tny+ooy/vqYcJUmSalV34WtL4P/6aVsCrNPGXLrOokceaYlN3G67GjKRJEntlpnX9D0oCl9XZOZrM/MHmXl5+fwailn1bxjs80fEZRGREXFCU3xSRHw3ImZFxPyIuCoidqx4fU9EnBQRj0bEwoi4flVv35QkSXo2dRe+HgG276dtR+C+9qXSfSa99KUtseULF9aQiSRJqtnBwLn9tJ1btg+aiHgrsFNFPCiWqzgA+DBwKDAauDoitmzq/j3gvcBngGnAo8DlEbHzYOYqSZKGt7oLXz8DPhMRuzfEMiKeB3yc/gdwAtbbqWW8yWPnn19DJpIkqWYj6H+JiOcziOt7lbtxnwwcXdF8ELAn8M7MPCczLytjI4BjG46xE8Varh/NzO9k5q+ANwEPAMcPVq6SJEl1F74+B9xNcbvjHWXsx8CtwAzgi/Wk1R1G9PRUxpctWNDmTCRJUs0uBr4YEW+MiJEAETEyIt5EsVHQRSt99ao5Ebg1M8+paDsIeCQzr+4LZOZTFLPADm7qt5SGi5yZuYxiHPjqiBg7iPlKkqRhrNbCV2bOB/YC3gPcRLE70Z+ADwGvzMzF9WXX+dbdYYfK+JJZs9qciSRJqtlRwJ8pCkkLI+JxYCFFIenPZfsai4iXA+8Cjuyny/YUFzCb3QZMiYh1GvrNyMzmq3W3AWNwgyNJkjRIRtWdQHl174zyoVXQs+mmlfHeRYvanIkkSapTZs4CXhERrwJeCmxGsWbW9Zl51WCcIyLGAKcBX8nMu/rpNpnqNVpnl8+TgHllvzkr6Te5nxzeR7ErOFOmTBlQ3p3m/AgADs6sORNJkoaH2gtfWjMTt9+ep2+7bYXYrGuuYZ0XvKCmjCRJUl0y80qKXRzXhmOBccDn19Lxn1Vmng6cDrDbbrtZOZIkSc+q1sJXRPwVWNmgJTNz23bl041y2bKW2Nw//amGTCRJ0lAVEVOAT1IsTzG2aQ2usRGxPvA0xSyuSRWH6JvBNafheauV9Jtd0SZJkrTK6p7x9TtaC18bUEzRnwtc2/aMusyCGTNaYiNGj64hE0mSNIQ9F+gBfljR9vHysQvFGl37V/R5EfBAZs4rv74NOCQixjet8/UiYAnF5keSJElrrO7F7d+Rme9seryWYkHTJyh2KNJKvPCEE1pij19ySQ2ZSJKkIeyPwL4VDyiKYftSFKsuALaIiL37XhgR6wIHlm19LgRGA29s6DcKeDNwhRscSZKkwVL3jK9KmTk7Ir4MHE/DNtdqNWZy69qv8+66i8wkysVTJUmS1kRm/o1i9+0VlGON+zNzevn1BcD1wA8j4hiKWxqPAwL4csPxbo6Ic4FTImI0MAP4ALA18Pa1+V4kSdLwUuuMr2exAOjO7XraaOzGG1fGl86p2ihJkiQNFRFxXkRsU/77XRGxQd05ZWYvMI1igf1vAr8AlgP7ZuaDTd0Pp9jV+wSKWf7PAQ7IzJval7EkSRrqOm7GV0SMoFjf4TPAHTWn0/E23HffyvjyhQvbnIkkSWqzg4Evlf8+A9gDeLKdCWRmy/TyzJwNHFE+VvbahcDR5UOSJGmtqHtXx6W0Lm4/gmI6/DzgdW1PqsuMWmedyvj8e+5h3BZbtDkbSZLURo9TFLt+TzF2WtlO2ZIkScNS3TO+TqR1kLYIuB+4ODO9X28A1nnhC5l3550rxB4+5xw23GuvmjKSJElt8BPg5Ij4KsV46rcrWd8zM7PucZ8kSVLb1ToAysxP1Xn+oWLeXXe1BtOLvpIkDXEfBa6jWCLis8CZwMN1JiRJktRpvPI3BEx597t54IwzVogtfuKJmrKRJEntkJkJ/BQgIt4NnJqZt9SalCRJUoepe42v01ehe2bm+9daMl1so1e9qqXw9egvflFTNpIkqd0yc+u6c5AkSepEdc/4eg0wEVgX6AXmAJMoFrifCzzd0Nd79/oxcty4yvjSuXMZve66bc5GkiTVISI2Az4G7A1MBmYDVwNfzczH6sxNkiSpLiNqPv+bKApc7wDGZeZGwDjgnWX8jZn5nPIxpcY8O9qk3XevjC+d494AkiQNBxHxAuAW4CiKnbF/Xz5/BPhjRDy/xvRU4fwIzu9/MwJJkjRI6p7xdTLw5cz8UV8gM5cCZ0fEZOBUoLqqo7/r2Wyzyviy+fPbnIkkSarJicBTwP/LzPv6ghGxFXBF2f6GelKTJEmqT90zvnYCKrYkhDK+Yxtz6Wrr7tj6rbr/tNNqyESSJNVgX+DTjUUvgMy8H/hc2S5JkjTs1F34ehz4p37a3gi4NeEALf3b31piix5zOQ9JkoaJMay4Nmqjp8t2SZKkYafuWx1PBf4rIjal2I77cWATirW/XkexQKsGYOxmm7HwwQdXiOXy5TVlI0mS2uyPwIcj4tLM7O0LRkQAHyzbJUmShp1aC1+ZeXJELAA+DRzY0PQI8IHMPL2ezLrP8//t3/jDoYeuEHv05z8nMwkXTpUkaag7HrgIuCMizgUeBTalmEH/fIoLipIkScNO3TO+yMzTIuI7wFbAZhQDtfsbr1bq2Y0cN64yPu8vf2Hittu2ORtJktROmXlZREwDTgA+CQSQwI3AtMy8os78JEmS6lJ74QugLHLNKB9aDeOnTq2MP33bbRa+JEkaBjLzMuCyiBgPTALmZOaCmtOSJEmqVd2L2xMRL46In0TEYxGxJCL+oYyfEBH7151ft1jnhS+sjPcuXtzmTCRJUp0yc0FmPmzRS5IkqebCV0S8DPgdsBNwHjCyoXkE8C+DeK7LIiIj4oSm+KSI+G5EzIqI+RFxVUTsOFjnbZeIYIs3v7klfs/JJ9eQjSRJkiRJUv3qnvF1IvArYDvgKIr1KPrcAOw6GCeJiLdSFNea4wFcCBwAfBg4FBgNXB0RWw7Gudtp1HrrtcT+duONNWQiSZIkSZJUv7oLX7sC/12u8ZVNbbOATdb0BBExCTgZOLqi+SBgT+CdmXlOuTbGQRTfl2PX9NztNmbDDVti47bsuvqdJEmSJEnSoKi78LUYqN6OsNiC+6lBOMeJwK2ZeU5F20HAI5l5dV8gM5+imAV28CCcu62mHH54S2zhAw/UkIkkSZIkSVL96i58/QY4KiIa8/j/7N15mBxVufjx75s9IWASCPuShH1zuQQEQZaggsiiIF7kh4AomyuyqIALm6Ioel25cFHgglxEBQMKCGEJikBYAwRkDSSAQEIWspBAkvP7o2pIp6dn0sn0dPV0fz/PU09PnzpV9Z7q6u6at0+dauv5dRRwe/tFqhcRuwCHA1/soMrWwGMVyicBG0bE4K5sv976rb56xfLp48fXORJJklQvEdEvIh70pkCSJEntFZ34+g6wPfAQcCpZ0uuwiLiF7BLEM1d2xRHRD7gQ+HFK6ckOqg0DZlYon5E/Du1g3cdExP0Rcf+0adNWNsSa6z1oUMXyabfeWudIJElSvaSU3gJGAouKjkWSJKnRFJr4Sik9BOwOzALOIBvc/gRgALBHSumJLqz+62SXUX6va1G2l1K6KKU0OqU0evjw4bVe/Urr3b9/xfJFc+bUORJJklRntwD2+JIkSSpTdI8vUkr3pZR2A1YDRgBDUkofTCndv7LrjIgNgdOBbwP9I2JIRAzJZ7c9703W26tSr65h+WOl3mANbbNvf7td2ZRLLikgEkmSVEe/AD4dET+OiF0iYuOIGFU6FR2gJElSEQpLfOXjUbwWEfsBpJTmp5SmpJRq0T1pFFmvsSvIkldtE8DJ+d/bko3ltXWF5bcCpqSU5tYglroaNGJEu7JFs2eTliypfzCSJKlexgMbkN3FejzwFPB02SRJktRy+hS14ZTSWxERwIJuWP3DwB4Vym8nS4b9BngGuA74bETsllIaDxARqwH7AVd2Q1zdbsC661YsX/DSSwzcYIM6RyNJkuqk/a2d1eOMjQDggJSWU1OSJFWrsMRX7jrgILJxKWompTQLuKO8PMuz8UJK6Y78+XXA3cAVEXEKWU+wU8nGGjuvljHVyxq77VaxfPHChXWORJIk1UtK6bKiY5AkSWpERY/xdR3wsYi4KiIOiYjdImLX0qk7N55SWgLsS5Z4+zVwLbCYbGD9qd257e7Se+BA+g4Z0q78xSuuKCAaSZJUTxHRKyK2yc+pVik6HkmSpKIV3ePr2vzxU/lU2q878ue9a7WxlFJUKJsBHJVPTWHQxhsz+4EHlil74Te/YYszzigmIEmS1O0i4ovAd4E1yM6htgcejIg/A7ellH5eZHyqrO3yRkmS1D2KTnx9uODtN6XeAwa0L+vfv4BIJElSPUTE0cDPgN8CNwNXl8z+O9nQEia+JElSy6l74isixgATUkpzU0q31nv7rWCz00/nnn32WaZs3rPPFhSNJEmqgxOB81NK34iI8t7y/wJOKSAmSZKkwhUxxtctwFZtT/KxKO6MiE0LiKUpDdluu4rlsx9+uM6RSJKkOhkJ/K2DefOA9gOASpIktYAiEl/lAxkEsAuwagGxNKXegwZVLH/1xhvrHIkkSaqT6cCIDuZtDrxUv1AkSZIaR9F3dVQ36DN4cMXyt2fNqnMkkiSpTv4CfCciRpWUpYhYA/ga8OdiwpIkSSqWia8mtdHRR7cre+a88wqIRJIk1cG3gIXAY8A4srs6/hx4AlgMnNWVlUfEXhFxW0S8EhELI+LFiLg6IrYqq7dBRPwxImZHxBsRcU1EbFhhfUMj4uKImB4R8yJiXERs25UYJUmSKikq8bVeRIzKf5UcVV5WOhUUX4/3rv/4j4rl8557rs6RSJKk7pZSmg6MBs4F+gLPkt3E6JfATiml2V3cxDDgAeBLwEeAU4GtgXsiYiOAiBgE3AZsARwBfAbYFLg9IlZpW1FEBHA9sDfwZbI7TvbN663fxTglSZKWUfe7Oub+WKGsoy745XcmUhX6Dx9esXzmYHo2CAAAIABJREFUvfeyyijziZIkNZuU0hzg7Hyq9br/D/i/0rKImEB2x8hPAucDR5P9oLl5SumZvM4jwNPAscBP8kX3B3YGxqSUbs/r3Q1MBr4OfKXW8a+osVE+JK0kSeqpikh8fbaAbbacNcaMqVi+eP78OkciSZLqJSJWA7YB1gNeBB7LE2Ld4fX8cVH+uD9wT1vSCyClNDki7gIOYNnE18ttSa+83uyIuD6vV3jiS5IkNY+6J75SSpfVe5utqN/QoQzbZRdm/OMfy5RPPP54Nvrc5wqKSpIkdZeI+A5wEjCYpXfRnhMRP0opnVOjbfQm642/EfAD4BWW9gTbGhhbYbFJwMElz7cmG4usUr3DI2JwSmluLeKVJElycPsmNmS77dqVpbff9u6OkiQ1mYg4EzgD+D3wYWBb4EPA1cCZEXFGjTZ1L9kg+k8B7ya7XPG1fN4wYGaFZWYAQ0ued1aPsrqSJEldYuKria2yySYVy+e/8EKdI5EkSd3saOD8lNIxKaXbUkqT8sejgZ8Cx9RoO58BdgQOBd4AbomIETVa93JFxDERcX9E3D9t2rR6bVaSJPVgJr6a2Hqf+lTF8oWeKEqS1GzeBfytg3k35fO7LKX0RErp3nyw+z3JLqv8Zj57JpV7a5X38OqsHlTuDda2/YtSSqNTSqOHd3AjH0mSpFImvppY/zXXZPCWW7Yrn3DAAQVEI0mSutG9wPYdzNs+n19TKaVZwDNAWxfzSWTjd5XbCni85Hln9aY4vpckSaolE19NbuAGG7QrWzx/vuN8SZLUw0VEr7aJ7E6IR0XEKRExIiIG5o9fB44CvtQN218L2AJ4Ni+6DtgxIkaV1BkB7JzPo6TeehGxW0m91YD9yupJkiR1Wd3v6qj6Gvr+9zPt5pvblb81cyZ9hwwpICJJklQji4BU8jzI7rT4g7J6ATxCF877IuJa4MF8PW8AmwFfy2M4P6/2P2QJtrER8a08trOBqcCFJau7DrgbuCIiTiG7tPHUPM7zVjZGSZKkSkx8NblNTjyRp84+u135m1OnssrIkQVEJEmSauQslk18dad7gE8BJwH9yJJZdwDnppSeB0gpzYuIMWSD6V9Olsi6FTih9PLFlNKSiNgX+DHwa2AAWSJsj5TS1Dq1R5IktQgTX02u75AhrPae9/DGxInLlD/yhS8w5rHHCopKkiR1VUrpjDpu64fAD6uoNwU4qIp6M8guwTyq69FJkiR1zDG+WkCvvn3blS14+eUCIpEkSZIkSaofe3y1gOEf+hCz7r9/mTIHt5ckqblExJbAJ4ENyC4fLJVSSkfUPypJkqRimfhqAZueeipP/6BsnNuUmPOvf7HqFlsUE5QkSaqZiDgc+C3ZmF+vAW+VVanXWGCSJEkNxUsdW0DvgQMrlj/705/WORJJktRNvg2MBYanlNZLKY0sm0YVHaAkSVIR7PHVAqJP5Zf5jUcfrXMkkiSpm6wNHJdSciyDJjA2AoADkh31JEnqKnt8tYCIYJ1PfKJd+cy77yZ5QiVJUjO4C9iy6CAkSZIajYmvFrHFmWdWLH/uZz+rcySSJKkbfAk4JiI+HRGrR0Sv8qnoACVJkorgSVCL6NXBOF9TfvvbOkciSZK6wYvAQ8AVZIPbv102lQ92L0mS1BIc46tFDNpoo4rlC15+uc6RSJKkbvA/wH8Cfwb+hYkuSZIkwMRXy+jVty/b/uIXPPrlLy9T/tbrr7Pwtdfov+aaBUUmSZJq4ADglJSSYxhIkiSV8FLHFjLi2GMrlj/02c/WORJJklRj84DHiw5CkiSp0Zj4aiHRpw+9+vdvV/7aLbeQliwpICJJklQjlwCHFh2EJElSo/FSxxYSEQzfc09eveGGZcrT22+zZOFCencwAL4kSWp4LwCfjohbgJuAmeUVUkre0UaSJLUcE18t5r2//S1/W3vtduVTLruMkccdV0BEkiSpBi7IHzcC9qwwPwEmviRJUsvxUscWM2Cttei/1lrtyh85/njS4sUFRCRJkmpg5HKmUcWFJkmSVBx7fLWgAeusw8JXX21X/ubUqQwaMaL+AUmSpC5JKb1QdAySJEmNyB5fLWiDI46oWD5v8uQ6RyJJkiRJktR9THy1oFFf/WrF8n+OGcPC6dPrHI0kSeqqiJgcEc91NhUdo7pmbARjI4oOQ5KkHsfEVwuKCIbssEPFea+MHVvnaCRJUg2MrzA9BqxGdr53R2GRSZIkFcgxvlrUqltuyawJE9qVz3/BIUIkSeppUkpHViqPiCHATcC4ugYkSZLUIOzx1aI2PvHEiuXP/OhHpJTqHI0kSeoOKaVZwI+A7xQdiyRJUhFMfLWod7373Wx66qntypcsWMCLv/tdARFJkqRusgBYv+ggJEmSimDiq4WtMmpUxXLH+ZIkqeeLiD4R8V7gDGBSweFIkiQVwjG+WtiwnXeuWP6Wd3aUJKlHiYglQEdjFbwBfKyO4UiSJDUME18tbNUtt2SdAw/k39dcs0z59Dvu4PW77mL1DhJjkiSp4ZxF+8TXAuAF4MaU0uz6hyRJklQ8E18tbtNvfKNd4gvgoSOOYM+nnyYiCohKkiStiJTSGUXHIEmS1Igc46vF9VtjjYrl8559lrdef73O0UiSJEmSJNWOPb5a3KCRI3nX+97H7IceajfvzalT6d9BYkySJBUrIr6zIvVTSmd1VyySJEmNysRXi4sIdrzxRv629trt5o3/j//gIy++yMD11isgMkmStBxnVFGndNwvE1+SJKnleKmjGLDWWqy6zTYV5029/PI6RyNJkqrUdznT9sDNQADPFBSjJElSoUx8CYBVRo2qWD7vqafqHIkkSapGSmlxpQkYBVwB3AtsBRyTP0qSJLUcE18CYNRXv1qxfMollzjIvSRJPUBEbBARFwOTgDHAycCmKaWL84SYJElSyzHxJQCGjxnD5mecUXHe3fvsU99gJElS1SJieET8DHgKOIhsLK9RKaX/Sim9VWx0kiRJxTLxpXcM3X77iuWzJkxg3nPP1TkaSZLUmYh4V0R8H3gO+BzwM7KE1zkppXnFRidJktQYTHzpHe/abjuIqDhv4Wuv1TkaSZK0HJOBbwD/APYCLgKGRsSoSlNXNhQRn4yIP0XECxHxZkQ8GRHnRsSqZfWGRsTFETE9IuZFxLiI2LbC+gZExI8i4t/5+u6OiF27EqMkSVIlJr70jgFrrcU2P/lJxXl/32kn5k+ZUueIJElSJ4aQ3bFxL+BO4OnlTF1xMrAYOA3YG7gAOB64JSJ6AUREANfn879MdtllX+D2iFi/bH2/AY4GvgPsC/wb+FtEvLeLcUqSJC2jT9EBqLFsfMIJvHTVVcy899528x7+3Of4wC23FBCVJEmq4LN13NZ+KaVpJc/HR8QM4DJgd+A2YH9gZ2BMSul2gIi4m6xn2teBr+Rl7wEOBY5KKV2Sl40nG5T/rHw9AsZ20BNfkiRVz8SX2hm40UYVE1/Tx48npUR4EiZJUuFSSpfVcVvTKhTflz+ulz/uD7zclvTKl5sdEdcDB5AnvvJ6bwO/L6m3KCKuAr4ZEf1TSgtr3QZJktSavNRR7az10Y9WLE9vv82Cl1+uczSSJKlB7ZY/PpE/bg08VqHeJGDDiBhcUm9ySml+hXr9gE1qHagkSWpdJr7UzgZHHMGW3/9+xXk3r78+r991V50jkiRJjSQi1iO7LHFcSun+vHgYMLNC9Rn549Aq6w3rZLvHRMT9EXH/tGmVOqE1v7ERXgIpSdIKMPGldiKCzU49lX5rrFFx/pNnnlnniCRJUqPIe26NBRZR33HGSCldlFIanVIaPXz48HpuWpIk9VAmvtShgRtsULH8jYkT6xyJJElqBBExkOzOjaOAvVJKL5bMnsnSXl2lhpXMr6bejArzJEmSVoqJL3VoxHHHVSxf+NprTL38clJKdY5IkiQVJSL6An8ERgP7pJQeLasyiWz8rnJbAVNSSnNL6o2MiEEV6r0FPFO7qCVJUqtr2sRXRHwyIv4UES9ExJsR8WREnBsRq5bVGxoRF0fE9IiYFxHjImLbouJuJCOOOYbRV19dcd6Dhx/OU2efXeeIJElSESKiF/A7YAzw8ZTSPRWqXQesFxG7lSy3GrBfPq/N9UBf4OCSen2A/wRu9o6OkiSplpo28QWcDCwGTgP2Bi4AjgduyU/eiIggO/naG/gycBDZidjtEbF+EUE3mnUPOqjDec9fdFEdI5EkSQX6FVmi6nxgXkTsWDK1nTNdB9wNXBERh0TEXnlZAOe1rSil9BDwe+C/IuLzEbEncBUwEvhu/ZokSZJaQZ+iA+hG+6WUSm/3Mz4iZgCXAbsDtwH7AzsDY1JKtwNExN3AZODrwFfqGnEDil69WG3bbXnj0fKrGWDByy+TUiK8s5AkSc3uo/nj6flU6kzgjJTSkojYF/gx8GtgAFkibI+U0tSyZT4LfA84BxgCTAT2Tik92E3xS5KkFtW0Pb7Kkl5t7ssf18sf9wdebkt65cvNJusFdkD3RthzbHXeefTq37/9jJT4+047MfuRR+oflCRJqpuU0oiUUnQwnVFSb0ZK6aiU0rCU0qCU0p4ppXZ3xUkpvZlSOjGltHZKaUBK6f0ppTvq2SZJktQamjbx1YG2MSeeyB+3Bh6rUG8SsGF+u+6Wt9bee/ORqeU/1GZm3nsvd++1F2nx4jpHJUmSJEmS1LmWSXxFxHrAWcC4lNL9efEwlt5au1TbbbQr3Wq7JfUfPpz+66xTcd7CV15h9sR2P+ZKkiRJkiQVqiUSX3nPrbHAIrIxJbq6vmMi4v6IuH/atEpXVDan4Xvs0eG818ePt9eXJElSnYyNYKzjrEqStFxNn/iKiIFkY3aNAvZKKb1YMnsmlXt1DSuZ305K6aKU0uiU0ujhw4fXNN5Gtu0vfsGaH/1oxXmPnXgit227LW++/HKdo5IkSZIkSaqsqRNfEdEX+CMwGtgnpVR+a8JJZON8ldsKmJJSmtvNIfYo/YYNY6cbbmDNvfeuOH/uE0/wzHnnVZwnSZIkSZJUb02b+IqIXsDvgDHAx1NK91Sodh2wXkTsVrLcasB++TxVMHCDDTqcN+u++zqcJ0mSJEmSVE9Nm/gCfgUcDJwPzIuIHUum9fM61wF3A1dExCERsVdeFoBdlzqw3qc/Db0qHzoz/vlPnjr3XOY+9VSdo5IkSZIkSVpWMye+2gajOp0suVU6fR4gpbQE2Be4Bfg1cC2wGNgjpTS13gH3FMP32IMd//pXVt260lWi8MRppzF+9GhmP/xwnSOTJEmSJElaqmkTXymlESml6GA6o6TejJTSUSmlYSmlQSmlPVNKEwsMvUdYa++92eHaazucv2jOHF64+OI6RiRJkiRJkrSspk18qfsN3GADeg8a1OH8+ZMn1zEaSZIkSZKkZZn40krrPWAAm51+eofzX73hBsa///08+9OfklKqY2SSJEmSJEkmvtRFm512Grveey/rHnxwxfmzJkzgsRNP5Pn//u86RyZJktT8xka8M0mSpPZMfKnLhu6wA5t+85ud1vn3NdfUKRpJkiRJkqSMiS/VxGrbbEOfVVftcP6Me+5h7tNPs+Ttt+sYlSRJkiRJamUmvlQTvfr1Y7srr6Tv0KEV5y+eO5dbN9uMG1dfnamXX17n6CRJkiRJUisy8aWaWXvfffnotGnseOONHdZZNGcODx55JG/NmFHHyCRJkiRJUisy8aWait69Gbr99p1XWrKEmRMm1CcgSZIkSZLUskx8qeb6rb46q++6a6d1Xvr975n861/zxqRJdYpKkiRJkiS1GhNf6hY7XHMNGx51FKtutVXF+VMvvZRHvvhFbt92W8f8kiRJqoGxEYyNaPe8tEySpFZj4kvdot/qq/O+3/yGMZMmscGRR3ZcMSWePPPMusUlSZIkSZJaR5+iA1DzW2XUqE7nz3v2WZYsWkSvPh6OkiRJXWUPL0mSlrLHl7rd+ocdRv811+y0zj/33JO7xozhgc98htf//vc6RSZJkiRJkpqZXWzU7VYZOZJd77uPl//wBxa89BKTL7iAJQsWLFPn9TvvfOfvl6++mg/ecw9D3ve+eocqSZIkSZKaiD2+VBeDNtyQTU46iW1+8hP6DRvWad0lb73Fy3/8Y50ikyRJkiRJzcrEl+puyOjRy62z4KWXWDR/PovmzyctWVKHqCRJkiRJUrMx8aW62/Lccxmw7rqd1pl62WX8dZVV+Osqq3DTWmvx1LnnklKqU4SSJEmSJKkZmPhS3a221VZ8+Pnn2fXee/nArbey+Xe/22n9t6ZP54nTTmPaLbfUKUJJkiRJktQMHNxehejVty9Dd9gBgLRoUVXLTL/9dtb8yEe6MyxJkiRJktRETHypcMM+8AF6Dx7M4rlzO603++GHeenqqwHot/rq2XIDB9YjREmSJEmS1AOZ+FLh+gwezE433cSkU07hjYkTISWWLFpEevvtZeq9dtNNvHbTTe88HzRyJDvfcQeDNtyw3iFLkiRJkqQewDG+1BBW33lndv3nP9l33jz2nT+f91588XKXmT95Ms/97Gd1iE6SJEmSJPVEJr7UkAaut15V9WZPnNjNkUiSJEmSpJ7KSx3VkIbtsguDt9iCuf/6V6f13njkER44/PB3nkcEq26zDSOOPpq+Q4Z0d5iSJEk9ytgIAA5IqeBIJEmqDxNfaki9+/dnl/Hjef7CC3nj0UcBeHvmTKaNG7dMvbemTePFyy9vt/xLV13FbhMmEL171yVeSZKaXUSsD3wDGA28BxgIjEwpPV9WbwBwNnAYMAR4GPhGSunOsnq98vUdC6wNPAmclVL6U/e2pDW1JbwkSWo1Jr7UsPqvuSabf/vb7zx/49FHuf3d765q2dkPPsjM++5j2I47dld4kiS1mk2ATwEPAH8HPtJBvd8AHwNOAZ4Dvgj8LSJ2Sik9XFLvbOBk4PR8nYcAf4iIfVNKN3RPEyRJUqsx8aUeY9DGG9NrwACWLFhQVf0FL77YzRFJktRS7kwprQUQEZ+nQuIrIt4DHAoclVK6JC8bD0wCzgL2z8vWJEt6/SCl9ON88dsjYhPgB4CJL0mSVBMObq8eo8+gQWz5ve9VXf/BI47ghqFDl5luHD6cez72MeY//3z3BSpJUhNKKS2potr+wNvA70uWWwRcBewVEf3z4r2AfsAVZctfAWwbESO7HrGqNTbCSyElSU3LHl/qUTY58UTW3m8/Zk6YQFq8+J3yKb/5Da/fuczQISyeP5/F8+e3W8erN9zAPfvuy5jHHuv2eCVJajFbA5NTSuVfwJPIEl2b5H9vDSwEnqlQD2ArYHI3xilJklqEiS/1OIM33ZTBm266TNms++9vl/jqzJxJk5g/ZQqDNtyw1uFJktTKhgEzK5TPKJnf9jgrpXa3FiyvJ0mS1CUmvtQU1thtNyb/4hcrtMz0O+5glY03rjiv3+qrM3jzzQm7/UuS1DAi4hjgGIAN/fFKkiRVwcSXmsI6Bx7Ipt/8JpN/9SsWzZlT1TIPHXFEp/Pftd127HTTTfRfY41ahChJUiuYCWxUobytB9eMknpDIiLKen2V11tGSuki4CKA0aNHl/cW0wpwTC9JUqtwcHs1hYhgq3PP5aMzZlSchr7//Su8ztkPPMCz55/fDdFKktS0JgEjI2JQWflWwFssHdNrEtAfKO96vVX++Hi3RagOOci9JKkZmfhSU+nVpw/9hg5tNw1Yd92VWt/MCRNqHKEkSU3teqAvcHBbQUT0Af4TuDmltDAvvons7o//r2z5w4DHUkoObC9JkmrCSx3VEtb79Kf597XXrvByc598ksdPPXW59VbZbDPWPfBA+r7rXSsTniRJPUJEfDL/c7v88aMRMQ2YllIan1J6KCJ+D/xXRPQluzPj8cBISpJcKaXXIuInwKkRMQd4kCw5NgbYv07NkSRJLcDEl1rCegcfTPq//+OlK6/krddfr1hn0bx5vDFx4jJlC156iad/8IOqtjH55z9nl3/8gz6rrNLleCVJalB/KHv+6/xxPLB7/vdnge8B5wBDgInA3imlB8uWPR2YC3wVWBt4EvhUSukvtQ9bkiS1KhNfahnrH3II6x9ySIfz35g0idu32Wal1z/74Yd57eabWfcTn1jpdUiS1MhSSssdACql9CZwYj51Vm8xWXLsnNpEJ0mS1J5jfEm5QRttRK9+/bq0jvnPPVejaCRJkiRJUlfZ40vK9Rk8mI1PPLHqSxsreea885hy6aVV1x+wzjqMOO441j3wwJXepiRJkiRJqszEl1Riy+9/nzX33puZEyaQFi3qtO70225j2rhxy5QtfO01Fr72WtXbm/PYY0wbN46db7uNNXbffWVCliRJkiRJHTDxJZWICNbYbTfW2G235dbt1bdvu8TXSkmJl6+5xsSXJEmSJEk1ZuJLWklDd9yxZut6c8oU5r/wQpfX03uVVei/xho1iEiSJLW6sbH0XgYHpFRgJJIkrTwTX9JKGrbzzmzy9a/z7PnnkxYv7tK6Xhk7llfGjq1JXEO2354d/vxnBq67bk3WJ0mSJElST2XiS1pJEcHWP/whm33rW7z5/PNVLzf9zjt59Etf6ra4Zt13H4997Wts//vfd9s2JEmSJEnqCUx8SV3Ud9VV6bvttlXXXzRnTjdGk5nxj390+zYkSZIkSWp0Jr6kOhuy/fb0X3ttFr7ySrdt4+2ZM3nuV7/qtvUDrLrllqz+wQ/Sq2/fbt2OJEmSJEkry8SXVGe9+vZl59tu4/FTT2X2ww9DVweLTYk3p05dpmjxm2926+WUbdbebz92uPZaonfvbt+WJEmqj9JB7cvLHORektTTmPiSCrDqllvy/j//uSbrWrJoEdcX1OvqleuvZ+aECQzbaadCti9JkiRJUmd6FR2ApK7p1acPA9Zfv7Dtz5k0qbBtS5IkSZLUGXt8SU1g4xNOYNLJJxey7Wd/+lNe/tOfCtl2NXr17cvQD3yAjb/2NXr37190OJIkSZKkOjLxJTWBTU46iVW33JJpt97K4gULum07M+66izcmTlymbM7jjzPn8ce7bZu18Mr11/PGI48w+soriw5FkqQezbG+JEk9jYkvqUmstc8+rLXPPt26jcdPO61d4qunePkPf2DRRRfRZ/DgokORJKmplQ6Ob4JMklQ0E1+SqjZku+2KDmGlpUWLWDhtGr0HDiw6lIbjXTklSbVQ6W6QkiQVzcSXpKqtte++rH3AAbwydmzRoayUcaNGFR1CQxo0ahRbnn026x96aNGhSJJ6iGp7dXlppCSpaCa+JFWtd//+7HDttcx98knmT55cdDidmnj88bz5wgtFh9EjzH/uOR447DCGbL89gzfdtOhwJEmSJKlmTHxJWiERwapbbMGqW2xRdCidGrDuuia+VkRKTL/jDhNfkiRJkpqKiS9JTWnNj3yEmXffXXQYPcrMu++m//DhRYchdckqm2zCattsU3QYkiRJahAmviQ1pc1OO42Fr77KS1dfzduzZhUdTuNZsqRd0ZRLLmHKJZcUEIxUO5uccgpbn3de0WFILaXWg9p7V0hJUi2Z+JLUlHr168d7LriA91xwQdGhNKR/nXkmT55xRtFhSJJaRKXkmEktSVI9mPiSpBY0YN11iw5BktTiypNhJsIkSd2hV9EBSJLqb+399qOf43lJkhrI2IiaXzYpSZI9voCI2AD4KfBhIIBxwAkppSmFBiZJ3WTA2mvzwX/8g+cvvJB5zz5bdDhSzay69dZFhyBJkqQG0vKJr4gYBNwGLASOABJwDnB7RLw7pTSvyPgkqbsM3mwztjn//KLDkCSpag58L0laUS2f+AKOBkYBm6eUngGIiEeAp4FjgZ8UGJskSZLU8rwEUpK0shzjC/YH7mlLegGklCYDdwEHFBaVJEmSpA45JpgkqRomvmBr4LEK5ZOAreociyRJkiRJkmrESx1hGDCzQvkMYGidY5EkSZKUq6ZHV1udFR3za2WXkyT1LCa+VkJEHAMcA7DhhhsWHI0kSZKkrlrRgfNNnElSz+Cljllvr0o9uzrqCUZK6aKU0uiU0ujhw4d3a3CSJEmSGkdXxxZzbDJJqi97fGVjeW1doXwr4PE6xyJJkiSpjjpLQjVSr65GiqWnc19KrcXEF1wH/DgiRqWUngOIiBHAzsA3C4xLkiRJUpUqJbDaEhsrexljLWJYkWVqlYiplNgx2SOpVZn4gv8BvgSMjYhvAQk4G5gKXFhkYJIkSc0qIjYAfgp8GAhgHHBCSmlKoYGpqVRKRHU1OdUsuiPhJkmNqOUTXymleRExhuzE63KyE69byU685hYanCRJUhOKiEHAbcBC4AiyHx7PAW6PiHenlOYVGZ/UyDrrudXVBF21veaWV8dEmqRG0vKJL4D8l8WDio5DkiSpRRwNjAI2Tyk9AxARjwBPA8cCPykwNmmF1PKyyFpfYlnLbXSnlU2YmWjr+XwNVQ8mviRJklRv+wP3tCW9AFJKkyPiLuAATHxJy1XLBFZ39BQrn7eiPdQ6mlfteqrpqdaZFUnIrOxlo41wuWkzJp6asU3qGhNfkiRJqretgbEVyicBB9c5FkmdqFWCrZpkRDXbqjaeWsddSWdJuO64sUL58pXWvaLxrojObprQmXokIRvp7qzlsXR2k4lqj48VSQR3tnytb6BRy3V2JxNfXfTAAw9Mj4gXumn1awDTu2ndjaxV2w2t2/ZWbTe0btttd+vpyW3fqOgAmtAwYGaF8hnA0I4WiohjgGPyp3Mj4sluiK0nH6u10ur7oNXbD13dB50lOBrpUsuOY6mu/Svazq7ul/ou3/E+WNHXsKux1Wq7K7Z87T4Hqj0WVua90R2vxVJdfx90XU3OwUx8dVFKaXh3rTsi7k8pje6u9TeqVm03tG7bW7Xd0Lptt92tp5XbrtpJKV0EXNSd2/BYdR+0evvBfdDq7Qf3Qau3H5prH/QqOgBJkiS1nJlU7tnVUU8wSZKklWJJEh56AAAgAElEQVTiS5IkSfU2iWycr3JbAY/XORZJktTETHw1tm7tyt/AWrXd0Lptb9V2Q+u23Xa3nlZuu9q7DtgxIka1FUTECGDnfF6RPFbdB63efnAftHr7wX3Q6u2HJtoHkXrACPySJElqHhGxCjAReBP4FpCAs4FVgXenlOYWGJ4kSWoi9viSJElSXaWU5gFjgKeAy4HfAZOBMSa9JElSLdnjS5IkSZIkSU3JHl8NJiI2iIg/RsTsiHgjIq6JiA2LjqtcRKwfEb+IiLsjYn5EpHxsjvJ6AyLiRxHx74h4M6+/a4V6vSLi1Ih4PiIWRMTEiDiog20fHRH/ioiFEfFkRBzXQb2PR8RD+fpeiIhvRUTvLrb7kxHxp3x9b+bbPzciVi2rNzQiLo6I6RExLyLGRcS2FdZX2P5ZwXbvFRG3RcQr+XpfjIirI2KrsnpVHb9F7p+uioib8uP9nEZpUze95rvn7SyfZjVzu0vWvU9E3BkRc/Nj+f6IGNPM7Y6IOzp4zVNE3NTMbZeih5x/raio4rwlIkZ08t4fUra+qt7XjaKo77JGUs1nezMdA9ED/kfpTtW0PyJGR8RFeazzI2JKRPwuIkZWWN/zHRwXH69Qt/D253FUewx0dMy/t6xeMx4DZ3TS/gVldXvcMVBRSsmpQSZgEPA08BjwceAA4FHgWWCVouMri3V34FXgBuBvZGNzjKhQ73fALOBoYE/gGrLxPN5bVu97wELgZGAP4EJgCbBPWb2j8/Lv5fXOyZ8fX1ZvL2Ax2YB8ewAnAguAH3ax3fcAVwP/D9gNOCFv3z1Ar7xOAP8AXgQ+DewNjAemA+s3wv5ZiXZ/GvgR8Mm83Z8huyPXG8BGK3L8Frl/anDcfxr4d368n9MIberG13z3vJ1fBnYsmUY3c7vzdR8LvA38FPgw2efJN4B9m7zdW5W91jsCX8uPgy80c9udWnuiB51/rUTbqjlvGZG/z79f4TOgd9n6qnpfN8pEQd9ljTRV+dneNMcADf4/SiO0H/gxcBfwhfxz4VDgCeB1YIOyus8DN1U4LoY2YvtX8BhIwCUV2jaoBY6B9Su0e0+y89+re/oxUHG/FB2AU8mLAV8lS9ZsUlI2ElgEnFh0fGWx9ir5+/MdvKHek5d/tqSsD/AkcF1J2Zr5h8mZZcvfCjxStuxrwGVl9X5LdnLSt6TsIWB8Wb3vAG8Ba3eh3cMrlB2et3NM/vyA/PkeJXXeBcwAft4I+6dGx8DmefwnrcjxW9T+qUF7hwKvkJ0Ulye+mu41Z+k/Cx/qpE4ztnsE2YnvCa3U7k7a+ps8tmGt1nan1pnoQedfK9G2as5bRuTPP7+cdVX1vm6kiQK+y3rCVOGzvWmOARr8f5QGaX+lz4WNyJIUZ5WVPw9csZxtNkz7q90H+bxlzuc7WFdTHgMdLPeZvO7HevoxUGnyUsfGsj9wT0rpmbaClNJksoz8AYVFVUFKaUkV1fYnyxr/vmS5RcBVwF4R0T8v3gvoB1xRtvwVwLYl3W53AoZXqHc5sDqwC2SXKwDv7aBeX+CjVcReUUppWoXi+/LH9fLH/YGXU0q3lyw3G7ieZV/HQvZPDb2ePy7KH6s9fovaP131Q+CxlNL/VZjXKq95uWZs91FkJ37/3UmdZmx3OxExCDgYuD6lNCMvbom2q+X0mPOvFVXleUu1qn1f9zS1/lxraB18tler4fdBI/+PUg/VtL/S50JK6QVgGiv+uQAN1H6o+hioVlMeAx04gqyn2N9WYtmGaX9HTHw1lq3JutmXm0TWTbmn2RqYnFKaX1Y+iewDZJOSeguBZyrUg6Vt3zp/LN9HVdXLT2LnU/t9uVv++ETJ9jt6HTeMiMEl9YrYPystInpHRL+I2JSsm+8rQFsiqNrjt6j9s9IiYheyX8i/2EGVpn3Ngd9FxOKIeD0iroxlx7xpxnbvAvwLOCQino2IRRHxTESUvvbN2O5KPgGsClxWUtYqbVdrabbzr+UpP29pc27+mTc7Iq6L9mNcVfu+bkT1/C5rdJU+29s08zFQyu+oMhGxJVnvpvLPBYD98rGiFkbEPRXGdurJ7T8+b9f8yMYz/mDZ/JY4BvKOI3sAv8uTwOV6/DFg4quxDANmViifQXaZVU/TWXva5rc9zkp5f8jl1KPCOqut11Y2rEL5SomI9YCzgHEppftLtt9Zu4dWWa+79k9X3Ev24f8U8G6yyyReK1l/NcdvUftnpUREP7Ik349TSk92UK0ZX/PZwPlkXaTHAGcDHwLujog1S9bfbO1eF9iUbEy7HwAfAW4BfhkRXy1Zf7O1u5LDybqt31hS1iptV2tptvOvDnVw3rKQ7HvuWLJ/fE4GtgX+mf8z3Kba93UjKeK7rNFV+mxv5mOgEr+jSkREH7Ke7tPILoMtdT3ZGHl7kY0VuAC4NiIOK6nTU9t/Bdk4Zx8CjiHrmXRbROxeUqcljgHgMLLcUKWEeFMcA32KDkDqqfJfAMeSXer32YLDqZfPAKsBo8hOim6JiF1SSs8XGlX3+jowkGygxpaRUnqIbKy8NuMj4k5gAvAV4FuFBNb9epH9En5kSumavOy2/G44p0bEz4sKrJ4iYl2yE8GfdfDLn6QepqPzlpTSv4HSO2/9PbK7/U0CTif7h6hHauHvsoo6+mxv5mNAVfkl8AGysZ2WSVyklL5c+jwiriW7Oca5tL+srUdJKX2m5OnfI2IsWY+lc2iAS/Pq7HDgoZTSI+UzmuUYsMdXY5lJ5V8WO/pVotF11h5YmgGeCQyJiKiiHhXWWW29trIVHc+gnYgYSJb9HgXslVJ6sWT28to9s8p63bV/VlpK6YmU0r35OFd7AoOBb5Zsv5rjt6j9s8LySyFOB74N9I+IIbH0tt5tz3tXEWuPfc1LpZQeJOvtt33J9put3W1j191SVn4zsBawDs3Z7nId/fLXCm1X62m28692lnPe0k5KaSrZnQ63Lymu9n3d0OrwXdbIOuvVsYxmPgbwO+odEfEDst5OR6WUbl5e/ZTSYuAPwPoRsU5e3GPbXyqlNAf4K+2P+WY/BnYAtqCKzwXouceAia/GMoml18eW2gp4vM6x1MIkYGQ+iGaprcjurvhMSb3+wMYV6sHStrddI1y+j6qql/fYGEQX92VE9AX+CIwmu43to2VVOnsdp6SU5pbUK2L/1ERKaVYeY9s4CNUev0Xtn5UxChhA9mvGzJIJsh5vM8kuBWiJ17xEW3fvZmz3pOXMX0JztrvcEcDElNLEsvJWaLtaT7Odfy2jivOWzpRe3lPt+7qn6K7vskbW0Wd7Z5rxGPA7CoiI04FvAF9JKV2+EqsofQ9BD2t/J8qP+aY9BnJHkN3s4cqVWLbnHAOp4NtKOi2dgBPIup+PKikbQXYgnlR0fJ3E3dGtct+Xlx9RUtaHbNDE60vK1iT7kvlu2fLjgEdLnvclu/b8krJ6F5P10uhXUvYwcHtZvW/l21m7C23tBVwNvAns2UGdj+ft3q2kbLU8xl80wv6p0eu+FjAXuHBFjt+i9s9KtnEI2a3Qy6dEdpeS3cl6vbXKaz4aWEx+q+tmbDfwsTzWT5aV/w2Y2qztrvA6J+BrFeY1ddudWnOih55/Vdm25Z63dLDchsAbwP+WlFX1vm70iW7+LmvUqbPP9mY9BmjA/1Eaof35vK/k805bwXX2AR4AXmj09i9vH1SouxowBbizFY6BfH6/PL6xzXoMvBNL0QE4lbwYsArZLwyPkt0+eX9gIvAcMLjo+CrE+8l8uiB/Qx2fP9+tpM5VZL1iPk92adwfyQbE+4+ydf0gLz+RLJlwAVnPin3L6h2Xl5+T1zsrf/7Fsnr75OUX5vW+lq//R11sc1tbzwF2LJvWz+v0Av4JTAUOIRsI8A6yLp4blK2vkP2zEu2+luxyvwPIBj09luzOd7OAzVbk+C1y/9Tw2E/AOY3Qpm58zX+Xr/NAsgGBTwKmk50QrNHE7Q7gNrIv6ePIBrf/n/w1P7JZ2122jZ+T/cO/ZoV5Td12p9ac6GHnXyvYtmrOW84Hfgp8iuw7/jjgBbLv+M3L1lfV+7pRJgr6LmvEaTmf7U11DNDA/6M0Qvvz43wJ2Q0Oyj8XtipZz6fz/XR4flwcAvw9X+chjdr+KvfByWTnd4fm8R5B9h3wFvDBZj8GSuodmM8/sIP19NhjoF1big7AqewFyX5d+RPZLyxzgD9TRYa6oFhTB9MdJXUGAj8BXsk/MO4Fdq+wrt5kPbJeILuzzCOU9bgoqXss2dgMC4GngS90UO9AshPXhWQnON8Benexzc930u4zSuoNA35LdtI0H7gVeE+F9RW2f1aw3d8gy+zPytvzJFlScURZvaqO3yL3Tw2P/XPKyprtNT813+ZsshPlqcBFwDrN3O58vasBvwJeJTsBegQ4tNnbna+77Re7Dn+5b9a2O7X2RA86/1rBdj3Pcs5bgKOA+8iSAG/n79krKUt45HWrel83ykRB32WNNi3vs73ZjoFOjvk7VrQdPfE7anntBy6tch/tSPZj4Kv5cTGLrKfTXo3c/ir3wX7AXWSJ8LfJfvC8DtihFY6Bknpj6aRHVk8+BsqnyAOUJEmSJEmSmoqD20uSJEmSJKkpmfiSJEmSJElSUzLxJUmSJEmSpKZk4kuSJEmSJElNycSXJEmSJEmSmpKJL0mSJEmSJDUlE1+SJEmSJElqSia+JEmSJEmS1JRMfEmSJEmSJKkpmfiSJEmSJElSUzLxJUmSJEmSpKZk4kuSJEmSJElNycSXpJYQEUdGRCqZ3oqIZyPi+xExoBu3u3u+vQ911zYkSVJtVThvmBcRz0fEtRHxqYiIomNsNPk+O6rKum3nR7t3c1jVxnJGRPQqKx+Rx/j5Lqy7V0Q8HBEndz3S2itp45ErsMzHI+LViBjcjaFJNWXiS1KrORjYCfgY8DfgVOBHhUYkSZIaVdt5wz7At4GFwP8Bt0TEwCIDa0BHAlUlvhrM7sB36Z7/jQ8D1gF+3Q3rLspY4N/AKUUHIlXLxJekVvNwSumelNItKaUvAOOAo8p/5ZMkSWLpecP4lNLlKaVDgE8BY4DzCo5Nje9k4H9TSvOLCiAi+tdyfSmlBFwEfKk7r5qQasl/9CS1ugeBQcAaABExPCIujIinImJ+REyNiCsjYr3ShfIu8SkiNo2Iv0bE3Ih4ISK+s7wkWkSMioinI+KuiBjafU2TJEm1llL6E1mvl6MjYlBbeUSsExH/GxHTI2JhRDwSEYeVLx8RIyPi8oh4Ja/3XET8rGT+HRFxR4Xlno+IS0uet12O+YGIuDoi5uSXoJ2az987Ih7KL9O8LyK2q7DOAyPinvycZ1ZE/CEiNqyw3Ssi4pCIeCJf3/0RsUtpzMBuwM4ll4e2a8Py1Cqekron5PUXRMSEfF+9sx8j4gyy3l4Ab7fFXraa3hFxVkT8O4/p+ohYv4q2vB/YFriypGy7fBul++7Ledk5JWWb5mUfKynbISLG5eec8yLi1ojYoWybl0bEixGxU0T8MyLeJE/QRsSgiPh1RLyer+M6oF07ImL7iLglr/dmfnyW91i7GhgCHLi8/SA1AhNfklrdCGA28Hr+fBiwgOwSyL3JunFvCtzVwa9a1wK3AR8H/gycCRzR0cYi4n3AP4EngA+llGbWpBWSJKmebgD6A6MBImIVYDzwUeA0svOCR4HLI+KYtoUiYiQwAdgV+A7ZucaZ5D/AraTL8m19guxc5PsR8UOyoRx+CPwnsArw54joVxLLccCfgMeBTwLHAtsA4yNi1bJtfBA4iexyz/8EegN/iYgh+fwvAA8Bj5BdGrpTXla1GsdDZGNz/ZSsd/8BwKVkSaghJeu5GPhN/vcuJbGXOhXYhOwyzq/m86+ookl7A3OAiSVlDwGzyHoMthkDvFmhbBFwZ96Wd5MdX0PJLik9HFiNbN+8p2y77wKuIrsk96MsTbxdCHwe+AlZwurJknnk2xlMNhTI4nw7HwXOAvqU1kspTSc7l927810gNYY+y68iSU2ld0T0AVYlO0E8CDghpbQYIKX0JNlJDQAR0Ru4C5hC9uV/bdn6zk8pXZL/PS4ixgCfBi4pq0dE7Jkv/wfgmLZtSpKkHmdK/rhO/vhZsh/K9kgp3ZGX3RgRawHnRMRv8u/9M4GBwHtSSi+XrO+yLsRyeUrpbHin59UngBOBzVJKk/PyXmS91HYiS5YMJkuKXZJSemdcroiYQJYQ+RzwXyXbWA14b9sPdhHxCnAf2dhnV6aUHo+IN4A+KaV7VrQBtY4nb+93gRtTSp8vWd8rZMk1AFJKL0bEi/nTe1NKiyqE93xK6dCSdQwHfhQR65a9huV2BB5NKS0p2d6SiLgT2AM4K49zN+AC4CsRMTilNDef/0BKaU6+6HfIxpfbM6U0K4/jFuD5vJ2lPa8GA4ellMaWxLw5cChwekrpB3nxzfl+P65k2S3IkmtfTyk9UlJ+aYX2PZS3UWp49viS1Gr+BbwNzCD7he/ClNIvSytExPERMTEi5pL92tZ2crt5hfX9tez5Y8CGFeodTPbr8C9TSp8z6SVJUo/WdlfHtsvidgVeKkl6tbkCGA5slT//CPCX5SRMVtSNbX/kiZtngKfakl65f+WPG+SPO5Elj34XEX3aJmBqXnfXsm3cXdZL/dH8sdI5z8qodTzr59MfypYbS3ZutyJuKHtebdvXBaZVKL8N2Cm/kuC9ZD3QziNLbH0wr7MHcHvJMruSHTez2gpSSm8A15Elzkq9DfylrOz9ZP/7X11WflXZ86fJeqRdGBGHRcQGdGwaWRulhmfiS1Kr+QSwPdkvguOAL0TE4W0zI+LLZHfeGUf269kOLP01q9KljjPKni/soN5BZN3YL+1C7JIkqTG0JQT+nT8OK/m71Csl8wFWB16sUK8ryodNeKuDMlh6jrJm/jiOLFFSOm2bx1lqmfOdlNLCsvV1Va3jaeuJ91pZvcXA9BWMrdK5Xum2OjKgpG6p28kuk/0AWYJrYkrpVeAfwB4RsTXZ/ritZJnOjq/y8WKnVfiBtW1/vFpWvszzlNLsPKaXyc6Hp0TEYxFxUIVtv0ntXn+pW3mpo6RW81hK6RmAiLiNbCyKH0XEn1JK84BDgFtTSie1LZCPx9FVx5Dd2eeOiNgjv6RSkiT1TB8jGxP0gfz5DCr3DF+7ZD5kSZf1KtQrtYCs91O5YRXKVlbb2KZHApMqzJ9Toaw71TqetiTRmqWF+RAWXRlPbUW8TvukFGQ9xqaTjeP1PpYmuG4ju2PoVLJE5V0ly8xg6bFUam3aJznLB+eHpftjLeC5kvK1yiumlB4GDsp73I0mG+Ps6oh4T0rpsZKqw1j6ukkNzR5fklpW/uvgKWQnRW0DsA4i+3Wx1GdrsLk3gL3ITjbuiIgta7BOSZJUZ3nvl/2B/04pzc+LxwPrR8TOZdUPJet19Hj+/GZg34hYh469AGxWNhD9rmTjk9bKP8mSSZuklO6vMK3MD3QLycYva4R4Xsyng8vKP077zh9tvbJWNvaO/AsYVV6YUkrAHcCHyS5tLE18vY/s6oQJJccWZMfXPqWD/Od/75eva3nuBZaQJdZKHdLRAimlRfl4bd8myxuUn7uOJBt/TWp49viS1NJSStdFxH3ASRHxS+Am4BsRcRrZXZfGkN1ZqBbbmhMRe5ONC3Z7RIxJKT2+vOUkSVJh3hsRawD9yMZ02pcsmXILWU+YNpeS3Rznmog4nSzp8v/IkhvHllx69l2y4Rb+GRHfJxuPaz1g75TSYXmdq8h6iv82Ii4lSzCcSHYX6ppIKb0REacAv8oHa78xX/96ZGNG3ZFSurKzdVTwONkQEv8JPAvMqTZhVet48kHkzwT+JyIuJhvraxTwzXy9S0qqt52LnRQRNwKLU0r3V7utTtwJfDYiVk8plfeMuh34FdndE/+elz1Elvzbg+xOiqXOJjv2bs3v2JmAb5D9YFtet52U0pMRcSVLB9S/j2y8uX1K60XEvmTH3p+ByWR3A/1KHtfdJfWCbDiQXy9v21IjMPElSfAtsls3H0d28jAE+BrZuAXjWdpTq8tSSnMjYh/gerLk155l3cYlSVLjaBscfQFZz60HyXrJ/DHvuQNASmleROxGNkj5D8h6Zz0JfCaldEVJvecjYkfgHOBcsjvwvUQ26Hpbndsj4jiyIRIOIkuIHEbJ3QhrIaV0YURMJev9fijZ/4YvkSViHl6JVf6Q7HLPi8naNR7Yvah4UkoX53ct/BrZ/nssf7yOZZOIfyFL4HyB7O6JwdKbF3TFWLLjZl/a37WzbeD6+/NB6kkpLY6I8WS9CUsHtiel9EhE7A58L19XAPcAu6WUJlYZz7HAXLLjqh9ZD7NDycYWa/M02dhd3yYbF2wOWZLswyml0rHpPkB2GWf54PhSQ4qSz2tJkiRJkppSRIwmS+QcnlK6vA7buxRYP6X0oe7eVj1FxAXANimlDy63stQATHxJkiRJkppKfnOiL5L1GHuDbIyq08gGjt+mbAyt7ozhCWCXGl0+WbiIWJvsSoi9U0p3Fh2PVA0vdZQkSZIkNZs3gW2Aw8kuy5sJjAO+WY+kF0BKaXJEHEnZ3SV7uBHASSa91JPY40uSJEmSJElNqVfRAUiSJEmSJEndwcSXJEmSJEmSmpKJL0mSJEmSJDUlE1+SJEmSJElqSia+JEmSJEmS1JRMfElSwSLiyIhI+e2uJUmSVAeeg0mtwcSXpG4XESPyk4q/dFKn7cTj5HrG1l0i4vmIuKPoOCRJUuvyHEySTHzp/7N37/GNXeW9/7+PbIXE46iQEoaWIZNgc2koHsrx/IByixMguLnRYqAFTwu0GOoWfh2mlBMoEC4ttMUdWkx7APcEGEOBummHdDABikN6SWCc0DGk3CySSVxgSAiYsR2CbD/nD8kZWZblLWtLe2vr83699JKtvSQ9Gnukr9daey0AAAAAAICEouMLAAAAAAAAiUTHF4DYM7MuM7vazObM7KeF678xs7PLtH2ZmX3SzI6b2X1mdreZHTaz3jJt71/XwcyeZ2Y3m9m9ZvZdM3uPmf1Mmfs808w+U2hzn5l9z8ymzOzX6/C6A70WM3t84XW8s+T23yncfmfJ7T9jZstm9s9h1wwAAJKDDEYGA5KgPeoCAKASM3uypE9LOl3SJyXdJukxkl4p6WIz2+vu9xTd5b2SvizpM5J+IOlcSVcU2l7g7jeVeZoBSc+S9InC/fok/b6kJ5rZU939p4VaLi3U8L3C9Q8kPVRSb+ExPhbeK6/qtcxI+qGkC0ru31e43mVm3e4+W/j+aZLaJF0fcr0AACAhyGBkMCAp6PgC0EiPMrOrNjn2+NIbzOw05YPMiqTHu/vXio49X/mQ9FblA9Ka8939tpLH+QVJX5L0dknPLPPcl0h6prv/a6G9SfqQpH2SXiVppNDuZZJyhVq+X/IcP1v8vbufu8nrrEag1+Luq2Z2g6RLzOxMdz9ZaH6BpM9LulD5ADZbdLtE6AIAoFWQwapDBgMShI4vAI30SElvrqL9pZLOkfS64sAlSe7+D2Z2s6QXqih0lYaUwm1fM7Mp5UfpTlsbPSzy2bXAVWjvZvbHkl4k6Td1KnRJ+dCVK/McP6jidQVS5Wu5XvmRyKdJ+pSZPUrSz0u6UtIjlA9dHyi0vUD50cmZsGsGAACxRAarAhkMSBY6vgA00hF3v7TcATN7iaSrS25+YuH6sZuMUp4h6cFm9mB3v7vwON2SXq98yPh5SaeV3OdnJX235LZ/K31gd7/DzO6Q9Itm1ubuK5I+LulXJX3VzP5e+ZG8/3D3+XKvqVZVvpbrC9d9kj6lUyOKU4Wvn1N4zJ9RfmT3X9x9tR51AwCA2CGDVYEMBiQLHV8A4uyswvVvbtFuh6S7zeyRyk9BP1PS5yT9k6QFSauSnitpj6QHlLn/98vcJkknJJ0nqVPSvLt/3Mxykl4jab+kA5KWzezTkvYXrd9Qs228lrU1JtbWlLhA0rfd/U4zu17SS83sMZK6xdoSAACgMjIYGQxIDDq+AMTZjwvX/e7+6QDt/0DSAyW92N0/WnzAzJ6ofFAp5yGb3L5T+ZCzsHaDu18j6ZrCqN1TJb1A+VD4GDN7bJkp/NtV1WspWmPi0kJtF0iaLBy+vnB9gfKhq/g2AACAUmQwMhiQGKmoCwCACr5UuH5SwPZdhetPFt9oZqdLekKF+z2t9AYzO0f5tS2+Wphiv467z7v7EXf/LUmHlQ8zvxCwziC281quV34k8eWSfk75KfZy9zskfVv5kcgLxNoSAACgMjIYGQxIDDq+AMTZP0u6U9JrzWxD8DKzMwojb2vuKFw/paiNSXqHNh9RlKRnmdlFJbe9TfkA8+Gix3qambWV1JCS9ODCtz+p/HKqsp3Xcn3h+o9Kvl/7+pnKry1xA2tLAACACshgZDAgMTjVEUBsuft9hS2zJyX9p5l9RtJ/K//eda6kZ0i6UYVFQyW9T9JLlZ8G/3FJ88qPJJ6nfOi4YJOnOqL8LjyfkDSn/KjcEyVNS3pPUbv3SHqomf2HpNslWaHt2kKl36j1NRfZzmtZW2PibElZd58rOna98luBr30NAABQFhmMDAYkCTO+AMSau39R+VDzN8pvxf17kvYpHz4+LOmNRW1vVj6AHZP0fOXXfTiu/DT94xWeZkL5bbPPV35dh/MkvVfSM0vWi3iHpBsK9fyupJdIWpH0aknPq+mFltjOaymMIN5Q+Pb6ksNTRV+XHgMAAFiHDEYGA5LC3D3qGgAgEkXbd7/U3T8YbTUAAACtgQwGoJGY8QUAAAAAAIBEouMLAAAAAAAAiUTHFwAAAAAAABKJNb4AAAAAAACQSO1RF9DsHvzgB/u5554bdRkAAKBObr755rvd/eyo68B6ZDAAAJItrAxGx1eNzj33XE1PT0ddBgAAqBMzK7t9PaJFBgMAINnCymCs8QUAAAAAAIBEouMLAAAAAAAAiUTHFwAAAAAAANoaMKgAACAASURBVBKJji8AAAAAAAAkEh1fAAAAAAAASCQ6vgAAAAAAAJBIdHwBAAAAAAAgkej4AgAAAAAAQCLR8QUAAAAAAIBEouMLAAAAAAAAiUTHFwAAIVvMZnVseFhHMhkdTqV0JJPRseFhLWazUZcGAAASjhwCrEfHFwAAIToxOampnh4dHxvT8smTkruWT57U8bExTfX06MTkZNQlJgbBHgCA9cghKKfVM5O5e9Q1NLXe3l6fnp6OugwAQAwsZrOa6unRytLSpm3aOjrUNzOjHV1dDawseU5MTurowIBWczl5Lnf/7ZZOK5VOa+/EhHb294fyXGZ2s7v3hvJgCA0ZDADWI4egnEZmprCFlcGY8QUAQEhmR0a0WhQoylnN5TR78GCDKkqmxWxWRwcGtLK0tC7ASZLnclpZWtLRgYGWGcUEAEAih2AjMlMeHV8AAIRkbnx8Q6go5bmc5g4dalBFyUSwBwBgI3IISpGZ8uj4AgAgJMsLC6G2Q3kEewAANiKHoBSZKY+OLwAAQtLe2RlqO5RHsAcAYCNyCEqRmfLo+AIAICS7Bgdl6XTFNpZOa9e+fQ2qKJkI9gAAbEQOQSkyUx4dXwAAhKT7wAGltgicqXRa3fv3N6iiZCLYAwCwETkEpchMeXR8AQAQkh1dXdo7MaG2jo4NIcPSabV1dGjvxARbiNeIYA8AwEbkEJQiM+XR8QUAQIh29verb2ZGu4eG1J7JSKmU2jMZ7R4aUt/MjHb290ddYtMj2AMAUB45BMXITHnm7lHX0NR6e3t9eno66jIAAGg5i9msZg8e1NyhQ1peWFB7Z6d27dun7v37Qw1wZnazu/eG9oAIBRkMAIBgGpWZwhZWBqPjq0aELgAAko2Or3gigwEAkGxhZTBOdQQAoILFbFbHhod1JJPR4VRKRzIZHRse1mI2G3VpAAAANSPrIOno+AIAYBMnJic11dOj42NjWj55UnLX8smTOj42pqmeHp2YnIy6RAAAgG0j66AV0PEFAEAZi9msjg4MaGVpSZ7LrTvmuZxWlpZ0dGCA0VAAANCUyDpoFXR8AQBQxuzIiFZLQmCp1VxOswcPNqgiAACA8JB10Cro+AIAoIy58fENo5+lPJfT3KFDDaoIAAAgPGQdtAo6vgAAKGN5YSHUdgAAAHFC1kGriE3Hl5ldbGafN7Pvmdl9ZjZnZp8ws/OL2lxgZl7m8qMyj/cgMxszs7vNbNHMPmdmjyvT7nQz+wsz+66Z3WtmN5rZ0+v9egEA8dbe2RlqOyCOyF8A0LrIOmgVsen4knSWpJsl/b6kZ0u6UtJjJd1kZrtL2r5a0pOLLs8sPmhmJulaSc+R9CpJz5OUljRlZrtKHuvvJL1c0pskXSrpu5KuM7PHh/bKAABNZ9fgoCydrtjG0mnt2revQRUBdUH+AoAWRdZBqzB3j7qGTZnZoyV9XdIfuvuImV0gaUrSs9z9cxXud4Wkf5Z0obtPFW77GUm3SRp391cXbtsj6b8kvczdry7c1i7pVknfcPfLt6qxt7fXp6ena3iVAIA4WsxmNdXTo5WlpU3btHV0qG9mRju6uhpYGRrNzG52996o62iUZshfEhkMAGpF1kHchZXB4jTjq5wfFK6Xq7zf5ZK+sxa6JMnd55UfhbyipF1O0seL2i1L+piki83sAdspGgDQ/HZ0dWnvxITaOjo2jIZaOq22jg7tnZggCCKJyF8A0ALIOmgVsev4MrM2MzvNzB4p6X2Svifp70uafcTMVszsB2b2UTM7p+T4YyV9tczD3yrpHDPrLGp3m7uXdnHfKuk0Sd01vRgAQFPb2d+vvpkZ7R4aUnsmI6VSas9ktHtoSH0zM9rZ3x91iUAoyF8A0JrIOmgF7VEXUMYXJf2vwtezyk+X/37h+3lJI5K+IOnHkn5J0usl3Whmv1TU7ixJt5d57HsK1w+StFBo98MK7c7a/ssAACTBjq4u7Rkd1Z7R0ahLAeqJ/AUALYqsg6SLY8fXPkkZSY+Q9IeSPmtmT3X32939y5K+XNT2C2Z2g6QvKb/g6h83okAzG5I0JEnnnFM62AkAANB0Yp+/JDIYAACoXuxOdXT3r7n7F9397yVdJKlT0v+u0P4WSd+UtLfo5h8qP6pY6qyi40Ha3VPmmNz9/e7e6+69Z5999qavBQAAoBk0Q/4qPC8ZDAAAVCV2HV/F3P1Hyk+3D7LWQ/H2lLcqv35EqfMl3eHuC0XtzjOzjjLtflp4bgAAgJZB/gIAAEkS644vM9sp6TGSshXa9Ep6tPLT7dd8UtLDzOwZRe0yki4rHFtzraS0pOcXtWuX9EJJn3H3+0J4GQAAAE2D/AUAAJIkNmt8mdk/SbpF0ozyC6c+StJ+5bfSHim0+Yik2wrtfqT84qpXSvofSX9d9HCflHSjpHEze63yU+qvlGSS/nytkbt/2cw+LundZpYuPPbvSjpP0ovr9VoBAADigPwFAACSLjYdX5JukvQCSQeU38r6TknXS3qHu99eaPNVSb8h6VWSOpTfavsaSW9297vXHsjdV83sUknvkvQ3kk5XPoj1ufudJc/7Ukl/Iuntkh4o6Zik5xTWrgAAAEgy8hcAAEg0c/etW2FTvb29Pj09HXUZAACgTszsZnfvjboOrEcGAwAg2cLKYLFe4wsAAAAAAADYLjq+AAAAAAAAkEh0fAEAAAAAACCR6PgCAAAAAABAItHxBQAAAAAAgESi4wsAAAAAAACJRMcXAAB1spjN6tjwsI5kMjqcSulIJqNjw8NazGajLg0AAKAq5Bo0Kzq+AACogxOTk5rq6dHxsTEtnzwpuWv55EkdHxvTVE+PTkxORl0iAABAIOQaNDM6vgAACNliNqujAwNaWVqS53Lrjnkup5WlJR0dGGCEFAAAxB65Bs2Oji8AAEI2OzKi1ZJgWGo1l9PswYMNqggAAGB7yDVodnR8AQAQsrnx8Q0joqU8l9PcoUMNqggAAGB7yDVodnR8AQAQsuWFhVDbAQAARIVcg2ZHxxcAACFr7+wMtR0AAEBUyDVodnR8AQAQsl2Dg7J0umIbS6e1a9++BlUUP2yJDgBAcyDXoFSz5Tg6vgAACFn3gQNKbREQU+m0uvfvb1BF8cKW6AAANA9yDYo1Y46j4wsAgJDt6OrS3okJtXV0bBghtXRabR0d2jsxoR1dXRFVGB22RAcAoLmQa7CmWXMcHV8AANTBzv5+9c3MaPfQkNozGSmVUnsmo91DQ+qbmdHO/v6oS4wEW6IDANB8yDWQmjfHmbtHXUNT6+3t9enp6ajLAACgKRzJZPLT4rfQnsnokvn5BlS0NTO72d17o64D65HBAABorEbnuLAyGDO+AABAw7AlOgAAQHNq1hxHxxcAAGgYtkQHAABoTs2a4+j4AgAADcOW6AAAAM2pWXMcHV8AACB0i9msjg0P60gmo8OplI5kMjo2PKyfHxhgS3QAAJrIZp/pcdu5D/XXfeBAU+Y4Or4AAECoTkxOaqqnR8fHxvILoLpr+eRJHR8b0xcvu0zdr3sdW6IDANAEKn2mT/X06MTkZNQlooF2dHVp78RE0+U4Or4AAEBoFrNZHR0Y0MrSkrxku2vP5bSytKTZP/szPfHaa9kSHQCAGAvymX50YICZXy1mZ3+/+mZmmirHtUddAAAASI7ZkRGtloTjUqu5nL5zzTXaMzqqPaOjDaoMAABUI+hn+uzBg3yet5gdXV1NleOY8QUAAEIzNz6+YVS4lOdymjt0qEEVAQCA7eAzHUlBxxcAAAjN8sJCqO0AAEA0+ExHUtDxBQAAQtPe2RlqOwAAEA0+05EUdHwBAIDQ7Boc3LDLTylLp7Vr374GVQQAALaDz3QkBR1fAAAgNN0HDii1RUhOpdPq3r+/QRUBAIDt4DMdSUHHFwAACM2Ori7tnZhQW0fHhlFiS6fV1tGhvRMT2tHVFVGFAAAgCD7TkRR0fAEAgFDt7O9X38yMdg8NqT2TkVIptWcy2j00pL6ZGe3s74+6RAAAEACf6UgCc/eoa2hqvb29Pj09HXUZAACgTszsZnfvjboOrEcGAwAg2cLKYLGZ8WVmF5vZ583se2Z2n5nNmdknzOz8knYPN7MJM5s3sx+b2TVmdk6Zx3uQmY2Z2d1mtmhmnzOzx5Vpd7qZ/YWZfdfM7jWzG83s6fV8rQAAAHFA/gIAAEkXm44vSWdJulnS70t6tqQrJT1W0k1mtluSzKxD0uclPUbSb0naJ+mRkqbMbMfaA5mZSbpW0nMkvUrS8ySlC+12lTzv30l6uaQ3SbpU0nclXWdmj6/PywQAAIgN8hcAAEi09qgLWOPufy/p74tvM7MvSfq6pAFJI8oHpEdIerS7zxbazEj6lqRXSPrLwl0vl/QUSRe6+1Sh3Y2SbpP0R5JeXbhtj6QXSXqZu19duO0Lkm6V9NbC4wBA4i1ms5odGdHc+LiWFxbU3tmpXYOD6j5wgAVLgQQjfwFAZWQkoPnFacZXOT8oXC8Xri+XdNNa6JIkd79N0n9IuqLofpdL+s5a6Cq0m1d+FLK0XU7Sx4vaLUv6mKSLzewB4b0UAIinE5OTmurp0fGxMS2fPCm5a/nkSR0fG9NUT49OTE5GXSKAxiJ/AYDISEBSxK7jy8zazOw0M3ukpPdJ+p5OjUQ+VtJXy9ztVknFa1FUaneOmXUWtbvN3ZfKtDtNUvf2XgUANIfFbFZHBwa0srQkz+XWHfNcTitLSzo6MKDFbDaiCgE0AvkLANYjIwHJEbuOL0lflHSfpG9K6lF+uvz3C8fOkvTDMve5R9KDir6v1E5Fbbdqd1a5As1syMymzWz6rrvu2ux1AEDszY6MaLUkzJVazeU0e/BggypCGBazWR0bHtaRTEaHUykdyWR0bHiYcI5KYp+/JDIYgMYhIzUHMg+CiGPH1z5JT1J+7YcfS/qsmZ0bZUGl3P397t7r7r1nn3121OUAwLbNjY9vGMUs5bmc5g4dalBFqBWnZWCbYp+/JDIYgMYhI8UfmQdBxa7jy92/5u5fLCy2epGkTkn/u3D4h1o/srimdOSwUjsVtd2q3T1ljgFAYiwvLITaDtHitAxsF/kLANYjI8UbmQfViF3HVzF3/5GkWZ1a6+FW5deFKHW+pP8u+r5SuzvcfaGo3XmFbbpL2/208NwAkFjtnZ1bN6qiHaLFaRkIA/kLAMhIcUfmQTUCdXyZ2RVm9tKi73eb2Y1mdtLMJooWKw2Vme2U9BhJa920n5T0JDN7RFGbc5XfOvuTRXf9pKSHmdkzitplJF1W0u5aSWlJzy9q1y7phZI+4+73hfhyACB2dg0OytLpim0sndauffsaVBFqwWkZyRNFBiN/AQAZKe7IPKhG0BlffyypeCGFv5S0S9L7JT1d0lW1FmJm/2RmbywEvD4ze4WkLyi/lfZIodkHJN0u6XCh3eWSDku6U/kdiNZ8UtKNksbN7NfN7OLCbSbpz9caufuXld9K+91m9jtmdpHyW2mfJ+nNtb4mAIi77gMHlNoi1KXSaXXv39+gilALTstIpLpmMPIXAJRHRoo3Mg+qEbTjq0vSjCSZ2RmSfkXSa9z9gKTXS/rVEGq5SdJzJX1I0hFJr1E+eD3e3b8pSe6+KOlC5XccOiTpI5JuU37noft/o919VdKlkj4r6W8k/ZOkFUl97n5nyfO+VNLVkt5eeN6HS3qOu98SwmsCgFjb0dWlvRMTauvo2DCqaem02jo6tHdiQju6uiKqENXgtIxEqncGI38BQBlkpHgj86AaQTu+Tpd0b+HrX5bULukzhe+/Iennay3E3f/M3f+Xuz/Q3Tvc/dHu/gp3v72k3R3u/jx3z7j7me7+3NI2hXb3uPvL3P2swuNd5O7HyrS7191f4+4PdffT3f2J7n59ra8HAJrFzv5+9c3MaPfQkNozGSmVUnsmo91DQ+qbmdHO/v6oS0RAnJaRSHXNYOQvANgcGSm+yDyoRtCOr9slPbXw9RWSbnb3+cL3D5E0X+5OAIDmsKOrS3tGR3XJ/LyuWFnRJfPz2jM6WvMo5mI2q2PDwzqSyehwKqUjmYyODQ+zw06dcFpGIt0uMhgARKZeGWk7yFWnkHlQjaAdX++TdJWZTUsalvR3RceerPU7+gAAoBOTk5rq6dHxsTEtnzwpuWv55EkdHxvTVE+PTkxORl1i4nBaRiKRwQAA5KoSZB5UI1DHl7v/laSXKL9g6cvc/QNFh8+U9MHQKwMANK3FbFZHBwa0srS0Yccdz+W0srSkowMDLTlCWW+clpEsZDAAALmqPDIPgjJ3j7qGptbb2+vT09NRlwEAsXJseFjHx8YqbjNt6bR2Dw1pz+ho6M+/mM1qdmREc+PjWl5YUHtnp3YNDqr7wAFG/lA1M7vZ3XujrgPrkcEAtIqoc1WYyGioRlgZrOqOLzN7iPILra7j7nfUWkwzInQBwEZHMpn8NPwttGcyumQ+3CWKTkxO6ujAgFZzuXUB0dJppdJp7Z2YYAQQVYlLxxcZbD0yGIBWEWWuChMZDdUKK4MFOtXRzDJmdrWZLUn6rvJbWJdeAACQJC0vLITaLihOBUDSkMEAAFHlqjCR0RCl9oDt3ivpecovqPoVSffVrSIAQNNr7+wMNjLZ2Rnq886OjGi1wmkAkrSay2n24MHYnwoAFJDBAKDFRZWrwkRGQ5SCdnw9R9Jr3f299SwGAJAMuwYHA61FsWvfvlCfd258vOJzSvlRxblDhwhVaBZkMABocVHlqjCR0RClQKc6FnyjblUAABKl+8ABpUq2li6VSqfVvX9/qM+bhFMBgDLIYADQwqLKVWEioyFKQTu+PibpsnoWAgCIzmI2q2PDwzqSyehwKqUjmYyODQ9ve52FHV1d2jsxobaODllJULN0Wm0dHdo7MRH67j1Bp/jH+VQAoAQZDAASLEgGiypXhYmMhigF7fj6jKRLzez/mtmAmV1YeqlnkQCA+jkxOampnh4dHxvLrx/hruWTJ3V8bExTPT06MTm5rcfd2d+vvpkZ7R4aUnsmI6VSas9ktHtoSH0zM3XZtWfX4OCGQFgq7qcCACXIYACQUNVksChyVZjIaIiSufvWjcxWNznkkkySu3tbmIU1C7bSBtDMFrNZTfX0aGVpadM2bR0d6puZifUo4ppmej2L2axmR0Y0Nz6u5YUFtXd2atfgoLoPHIi8NqwX1lba23xuMtgmyGAAmlkzZZYwtNrrjYtmz5thZbCgM776NrlcWHQNAGgy1eyw0wya5VSAes2yQyKRwQAggZKWwbbSLBktScibpwSa8YXNMdoIoJkdyWSCbY+dyeiCW25pmhGjxWxWswcPau7QoVO17tun7v37I6+VEc/mE+WML2yODAagHho1Q6aaDHbJ/Hxozxu1OGe0JElK3gwrg1XV8WVmD5b0JEk/K+lad7/HzE6X9FN332wqfqIRugA0s8OplBTkc8BMbWecodVcbt1W1JZOK5VOa+/EROzXlgiiEWH32PBwoC3Jdw8NsZ13TMSh44sMthEZDEDYTkxO6ujAQEPyTuAMlkrpipWVUJ4zLM1++lwrSErebGjHl5mZpD+X9CpJpym/rsRed7/FzK6T9O/u/rZai2lGhC4AzSzoaONWmmHEqFRpaGs7/XSt/PSnkpm0vHx/u7DDbquO8DaziNf4IoNtggwGIEyNniHTrHmgUZ2DdK7Vpll/v0o1eo2vKyX9vqS3Snqi8ouprrlW0qW1FgIAaLwgO+zILH+poNnWoCi35sHKvfdKKyvrOr0kyXM5rSwt6ejAwLqtxbdreWEh1HZIPDIYADRAo9fcasZdDhezWR0dGNDK0tKGmURh5iXWpqodeXO9oB1fvyPpre7+p5JuKTk2K4kuVwBoQt0HDii1VceX+5ZT8T2X09yhQyFWVj+VQlslYYXd9s7OUNsh8chgANAAc+PjW+aCMPNOkAyWSqfVvX9/KM8XhkZ0Djaqcy3pyJvrBe34epikmzY59lNJO8IpBwDQSEF22AmqWUaMgoS2csIKu804wotIkcEAoAEaPUOmGXc5bETnYKvtdlkv5M31gnZ8/Y+kX9zk2B5Jt4VTDgCg0Xb296tvZka7h4bUnslIqZTaMxntHhpS38yM2s88M9DjNMuIUZDQtpkwwm4zjvAiUmQwAGiAKGbIbJXB4rZxUCM6Bxs98y6pyJvrBe34+gdJbzKzpxTd5mb2KEkHJH0s9MoAAA2zo6tLe0ZHdcn8vK5YWdEl8/PaMzqqHV1doY8YLWazOjY8rCOZjA6nUjqSyejY8HDDpqzXEsbCCLvNOMKLSJHBAKABopohUymDxU3gHLS6uu18x9pU4SBvrhe04+sqSV+XdIOkbxVu+wdJXyl8/87QKwMAxEKYI0ZxWKx0u51XYYbdZhvhRaSuEhkMAOqOGTJbC7QpUsF28x1rU4WHvHmK+RYLFt/f0KxN0oskXSzpIZJ+IOnTkj7i7suV7ptkbKUNoBWEsXV1o7cJ38yx4WEdHxur+nTHRtSGeAprK+0anp8MVgYZDEDYwsg7SRYky5VTTYYKktMsndbuoSHtGR2tqg40n7AyWNAZX3L3FXc/5O6D7v5sd/8Nd/+Quy+bGd2tAJBgYYwYxWWx0kA7WRZpxengiBcyGAA0BjNkKqt0+lwl1eQ7Zt6hHgLN+DKzv3b3V29yrFPSde7+lHLHk47RRgAI5kgmkz+9cQvtmYwumZ+vay2bjui2t+ev02mt3nef2js7tWvfPnXv30+nVwuLcsYXGWxzZDAAiMZiNqvZgwc1d+iQln/840D3qSbfMfMOaxo94+ulZnZlmSJ2KD/V/uG1FgIAiI96LEAfp8VKNx3RfcUrdNHXv67LlpZiv8AsWgYZDABCEvUGO0lRvCC/zALdp5p8x8w7hC3ojK/nSDos6ZXufnXhtg7lA1eXpKe7e0u+WzDaCCBp6jXKFqcZX0A1Ip7xRQbbBBkMQDWYRVQf5DvUU0NnfLn7pyW9XNL/MbNLzewMSZOSuiVd0KqBCwCSZjGb1dGBAa0sLW1YVNRzOa0sLenowMC2Rkaj2iYcaGZkMACoXT3zTasj36EZVLO4/YclvVHSJyRdL+nRki50929Vuh8AoHnUcwF6FisFtocMBgC1icsGO0lEvkMz2LTjy8xSpRdJ75I0Juk8Sc+S9M2iYwCAJjc3Pl5x+2gpPzI6d+hQ1Y9daScgdk4ETiGDAUC46plvWh35Ds2gUlhalpQrc/k9SQ+W9F9Ft/20vmUCABqh3gvQs1gpEAgZDABCFKcNdpKIfIe4a69w7K2Stl75HgCQGO2dncEWKO3s3PZzrO0EtGd0dNuPASQcGQwAQtSIfNPqyHeIs007vtz9qkYVYWYDkn5DUq+kh0i6Q9I1kv7U3U8W2pwr6bZNHuJB7v6josc7XdLbJA1KeqDyI6Ovc/cbSp43Jel1kl4h6aGSviHpre7+j2G9NgBoJrsGB3V8bKzi6QAsUArUFxkMAMJFvgFaW9XrQphZp5k93MzC7A7/Q0krkl4v6TmS/lbS70r6bJm1K94h6ckll9Lu+79TfgekN0m6VNJ3JV1nZo8vafc2SVdJGpXUL+kmSf9gZr8SyqsCgCbDAqVAfJHBAGB7yDdAa6t0quM6ZnaxpD+R9HhJJsnN7BZJb3D3z9ZYx2XuflfR918ws3skfUjSBZI+X3Ts2+5+U4U690h6kaSXufvVhdu+IOlW5U8duLxw20OUD3vvdPd3Fe4+ZWbdkt4p6VM1viYAaDprC5QeHRjQai63bmTU0mml0mkWKAUajAwGALUh3wCtLdCMr0LgOiKpU/kRumFJb5d0pqRPmdmzaimiJHCtOVq4fliVD3e58ou9frzo8ZclfUzSxWb2gMLNF0s6TdJ4yf3HJT3OzM6r8nkBIBFYoBSIDzIYAISDfAO0rqAzvq6S9BlJl7r76tqNZvZWSf8i6S2Sah1xLPWMwvXXSm5/h5n9H0mLkr6g/GjnV4qOP1bSbe6+VHK/W5UPWd2Frx8r6T5Js2XaSdL52nw9CwBINBYoBWLjKpHBACAU5BugNQVd42uPpPcWBy5JKnz/N8pPvQ+NmT1M+Snxn3P36cLN90l6n/KLoPYpP0X+cZL+08x+oejuZ0n6YZmHvafo+Nr1j9y9dNek0nbl6hsys2kzm77rrnIDpQAAAKEgg62vjwwGAACqErTj6z5JmU2OnVk4HorCgq2HJS1Leuna7e7+XXd/pbtf4+7/5u4fkPR05bf7fkNYzx+Eu7/f3Xvdvffss89u5FMDAIDWQgYrQgYDAADVCtrxdb2kt5WuuWBm5yg/BX8qjGLM7AxJ10p6hKSL3X2uUnt3v1PSv0vaW3TzDyU9qEzztdHDe4raPdDMbIt2AABIkhazWR0bHtaRTEaHUykdyWR0bHhYi9ls1KUhua4XGQwthPdZAEDYgnZ8vU7Sz0j6hpndYGYfL+zS8y1JDywcr4mZpSVNSOqV9Csla0ZspXiq/K2SzjOzjpI250v6qU6tJ3GrpAdIKt264/zC9X9X8fwAECn+UKi/E5OTmurp0fGxMS2fPCm5a/nkSR0fG9NUT49OTE5GXSKSiQyGlsH7LKpF/gEQRKCOL3f/pqQeSX+tfFB5gqTTJf2VpMe7+7dqKcLMUpI+IulCSc+ttFV2yf3OkfRUSV8quvlaSWlJzy9q1y7phZI+4+5rpwR8Wvmdh15c8rCDkr7q7iyqCqAp8IdC/S1mszo6MKCVpaV1W6BLkudyWlla0tGBAYI2QkcGQ6vgfRbVIv8ACCroro5y9+8qv5hpPbxX+ZD0J5IWzexJRcfm3H3OzEaU76i7UdJdkh4t6UpJq4X7rdX5ZTP7uKR3F0Ywb5P0u5LOU1HAcvfvm9lfSrrSzE5KukX5YHah8ttxA0DsFf+hUMpzOa3kcjo6MKC+mRnt6CqdXIGgZkdGtFryh1ip1VxOswcPslMUQkcGQyvgfRbVIP8AqEagGV9m9m0zyoWJHAAAIABJREFU27PJsV80s2/XWEd/4foNyoeq4svvFI7dqvzI4vuU39b7Kkn/IemJ7v6Nksd7qaSrJb1d0hFJD5f0HHe/paTdGwpt/n9J10l6iqQXuPu/1Ph6AKAhqvlDAds3Nz6+YQZCKc/lNHfoUIMqQqsgg6FV8D6LapB/AFTDNu4kXaaR2aqkJ7n7l8oc65X0RXdvq0N9sdfb2+vT09NbNwSAOjiSyeSn92+hPZPRJfPzDagomQ6nUlKAz0ulUrpiZaX+BaGhzOxmd++N6LnJYJsggyUL77OoBvkHaA1hZbCgi9tL6xcvLdYr6Ue1FgIAqN7ywkKo7VBee2dnqO2AKpHBkHi8z6Ia5B8A1di048vM9pvZHWZ2h/KB69q174sudym/NsSnG1UwAOAU/lBojF2Dg7J0umIbS6e1a9++BlWEJCODoRXxPotqkH8AVKPSjK9vS/rXwsUkTRd9v3b5R0n7Jb28vmUCQLiSsv01fyg0RveBA0pt8e+cSqfVvX9/gypCwpHB0HJ4n02uemQu8g+AagRd4+tqSW9le+mNWF8CaD4nJid1dGBAq7ncuoV0LZ1WKp3W3okJ7ezvr/AI8bGYzWqqp6fsrkZr2jo6Qt/VaDGb1ezIiObGx7W8sKD2zk7tGhxU94EDid09KUm/N6hOxGt8kcE2QQZLHt5nk6deP9Oo8k8zasXMhuQIK4MF6vjC5ghdQHNJYlBq9B8KrfyHyWI2q9mDBzV36NCp8Lhvn7r372+a3xdUL8qOL2yODJZMvM8mR70zVyvnkaD4N0Kzo+MrJghdQHM5Njys42NjFbdMt3Rau4eGtGd0tIGV1aZRfygkseMQ2AodX/FEBgPirRGZi47SzZHZkAR0fMUEoQtoLmx/XZukdhwCldDxFU9kMCDeyFzRIrMhCcLKYJUWtweAxGH769rMjY9XDFCS5Lmc5g4dalBFAAAgjshc0SKzAafQ8QWgpbD9dW2aOcQmZSdPAACaAZkrWs2c2ZoZeTOe6PgC0FLY/ro2zRpiT0xOaqqnR8fHxvKnXbhr+eRJHR8b01RPj05MTkZdIgAAiULmilazZrZmRt6Mr8AdX2b2S2Z2jZndbWbLZvaEwu1/ambPqV+JABCe7gMHlNoihKXSaXXv39+gippLM4bYxWxWRwcGtLK0tGHKv+dyWlla0tGBAUbiEFtkMADNiMwVrWbMbM2MvBlvgTq+zOypkm6U9BhJHy2536qkV4ZfGgCEb0dXl/ZOTKito2NDGLB0Wm0dHdo7McHuNptoxhA7OzKi1S3WuFjN5TR78GCDKgKCI4MBaFZkrmg1Y2ZrZuTNeAs64+udkq6T9FhJryk5doukJ4RZFADU087+fvXNzGj30JDaMxkplVJ7JqPdQ0Pqm5nRzv7+qEuMrWYMsSzuiiZHBgPQtMhc0WnGzNbMyJvxZu6+dSOzJUm/5u6fNrM2STlJve5+i5k9XdJ17n5GnWuNJbbSBtCKFrNZzR48qLlDh7S8sKD2zk7t2rdP3fv3xy5AHU6lpACfdUqldMXKSv0LQtMJayvtbT43GWwTZDAA2FozZbZmRt6sj7AyWHvAdj+R1LHJsZ+TNF9rIQCA5rGjq0t7Rke1Z3Q06lK21N7ZmV9gNEA7IIbIYACAbWumzNbMyJvxFvRUx3+X9AeFkcY1a92Zvy3p86FWBQBASMJc3JUtqhEBMhgSgfdPAEnGZgLxFrTj643KryFxrPC1S/otM5uS9CRJb6lPeQAA1CasxV3ZohoRIYOh6fH+CSDp2Ewg3gJ1fLn7MUlPl3RC0hskmaTfLxx+hrt/oz7lAQBQmzAWd2WLakSFDIZmx/sngFbAZgLxFnTGl9z9Fne/SNKZknZJyrh7n7t/uW7VAQAQglp3lWKLakSJDIZmxvsngFbBLqbxFWhXR2yOHYUAhG0xm9XsyIjmxsdP7b4zOKjuAwcYJYrIkUwm2IKlmYwumWet8aSJcldHbI4M1hx4/0S9kJeA5Gvoro5m9qYtmri7v63WYgCg1Z2YnNTRgQGt5nL3nxKytg7KnR/6kPZOTDBaFIHlhYVQ2wFBkcHQ7Hj/RD2QlwBUI1DHl6SrKhxbmzJG6AKAMoKOSBavg1LKczmt5HI6OjCgvpkZRjIbjC2qEaGrKhwjgyH2eP9E2ILkpS9efrmefN11OvvCCyOoEEDcBF3cPlV6kfRgSS+R9FVJ3XWsEQCaVjU7WbEOSnyxRTWiQgZDs+P9E2ELkpd8eVn/+exns2MoAElVLG5fyt3vcfcPS/qgpPeGVhEAJES1O1nNjY9vaFfKcznNHTpUt5pRHltUI07IYGgmvH8ibEHykiRpZYUdQwFIqqHjq8jaNtsAgCLVzuBiHZT4YotqxBQZDLHH+yfCVk0OYqY8ACmcjq9LJd0VwuMAQKJUO4Mr6PomrIMSDbaoRgyRwdAUeP9EmKrJQcyUByAF39Xx/5a5+TRJvyjpcZLeHGZRAJAE1c7g2jU4qONjYxU7y1gHJVo7urq0Z3RUe0ZHoy4FLYIMhqTg/RNhCZKXijFTHkDQXR0v1Kmdg9b8RNJxSe+W9KEwiwKAJKh2J6vuAwd054c+pJUKQY51UICWQwYDgCJB8lIxZsoDCLqr47nufl7J5Rfc/Tnu/kF3Lw1kAJrAYjarY8PDOpLJ6HAqpSOZjI4ND7MIaEiq3cmKdVAAlCKDAdEjL8XLWl6y9q3ncDBTHoAUzhpfAJrQiclJTfX06PjYWH5WkruWT57U8bExTfX0sP1zCLazk1WQdVAI4AAANAZ5KZ529vfrydddJ7W1VWzXqjPlyYrAehZkoNDMqtoxyN1v2HZFTaa3t9enp6ejLgOoymI2q6meHq0sLW3apq2jQ30zM8wuqtGJyUkdHRjQai63bi0KS6eVSqe1d2KiqkV9w348AFszs5vdvTei5yaDbYIMhnojL8UfuWgj/k2QJGFlsKBrfF2vjetLrKuncHztunLXO4BIzY6MaHWLdRHWtn9mEdrarM3gmj14UHOHDml5YUHtnZ3atW+fuvfvryooL2azOjowUDaAey6nlVxORwcGCOBAslwvMhgQCfJS/IWZs5KArAiUF/RUx1+V9D+SrpP0Ukm/Urj+TOH2K5RffLWvcF0VMxsws380s+Nmdq+ZfcPM3mFmZ5a0e5CZjZnZ3Wa2aGafM7PHlXm8083sL8zsu4XHu7HciKmZpczsSjO73cx+YmbHzOx51dYPNJu58fEtd8Jh++fwrO1kdcn8vK5YWdEl8/PaMzpadeCoJoADSAwyGBAR8lJzCCtnJQFZESgv6KmOH5S07O6/U+bY30lKuftLt12E2U2S7pB0WNKcpF+SdJWkr0v6ZXdfNTOT9G+SzpX0Wkk/lHSlpMdKery7zxU93kckXVJo921JvyepX9KT3f2/itr9iaQ/lPQGSTdL+nVJL5d0qbt/KkjtTLNHMzqcSklB1kNOpXTFykr9C0IgRzKZYLtEZjK6ZH6+ARUBrSHiUx0/KDJYWWQw1Bt5Cc2GrIikafSpjldIesEmxz4u6WM11nGZu99V9P0XzOwe5bfovkDS5yVdLukpki509ylJMrMbJd0m6Y8kvbpw2x5JL5L0Mne/unDbFyTdKumthceRmT1E+cD1Tnd/V+F5p8ysW9I7JQUKXUAzau/sDPahyPbPsbK8sBBqOwBNgQwGRIS8hGZDVgTKC3qqY0pS9ybHHqka15MoCVxrjhauH1a4vlzSd9YCV+F+85KuVT4UqqhdTvkwuNZuWflgeLGZPaBw88WSTpM0XvK845IeZ2bnbe/VAPG3a3BQtsVug2z/HD9BgzUBHEgUMhgQEfISmg1ZESgvaMfXEUnvMLPnm1mbJJlZm5m9QNLbJf1LHWp7RuH6a4Xrx0r6apl2t0o6x8w6i9rd5u6lK/rdqnzI6i5qd5+k2TLtJOn8bdYNxF73gQNKbRHkWnX75zgjgAMtiQwGRIS8hGZDVgTKC9rx9WpJX1F+BO9eMzsh6V7lR/C+UjgeGjN7mPJT4j/n7muLN5yl/JoSpe4pXD8oYLuziq5/5BsXOSttByTOjq4u7Z2YUFtHx4YPR0un1dbRob0TEy25KGicEcCBlkQGAyJCXkKzISsC5QXq+HL3u939acpPTX+bpH8sXD/b3Z/u7j8Iq6DCqOFhScvK71oUO2Y2ZGbTZjZ9113lzhAA4m9t++fdQ0Nqz2SkVErtmYx2Dw2pb2ZGO/v7oy4RJQjgQOshg61HBkOjkZfQTMiKQHlBF7eXJLn7ZyV9tk61yMzOUH69iEdIekbxLkHKjyA+qMzdzio6vna9u0K7e4raPdDMrGTEsbTdBu7+fknvl/I7Cm3WDoi7te2f94yORl0KAloL4LMHD2ru0CEtLyyovbNTu/btU/f+/QQZIKHIYHlkMESBvIRmQlYENqqq46uezCwtaUJSr6RnuftXSprcKunZZe56vqQ73H2hqN2vmllHyRoT50v6qU6tJ3GrpAdI6tL6NSbW1pX47+2+FgCoJwI4gDCRwQAgWciKwHqbnupoZitm9v8Vvl4tfL/ZZbmWIswsJekjki6U9Fx3v6lMs09KepiZPaPofhlJlxWOrblWUlrS84vatUt6oaTPuPt9hZs/rfzOQy8ueZ5BSV9199tqeU0AmtNiNqtjw8M6ksnocCqlI5mMjg0PazGbjbo0RIjfCzQSGYwM1ix4b0wefqYAksg2ritaOGD2ZkkfcPfvmNlVkipOJ3f3t2y7CLO/lfRKSX+ijbsTzbn7XCGY/bukh0t6rfLT5K+U1CNpj7vfWfR4H1N+LYzXSrpN0u9KulTSL7v7LUXt3inpDyS9XtItygezV0i63N0D7ZLU29vr09PTWzcEEHsnJid1dGBAq7mcPJe7/3ZLp5VKp7V3YoK1PFoQvxcws5vdvbeBz0cGC4AMFi3eG5OHnymAuAkrg23a8dVIZna7yq8JIUlvcferCu3OkvQuSc+VdLqkGyW9xt2PlTzeGcoHuBdJeqCkY5Je5+7Xl7RrUz64vVzSQyV9Q9Jb3X0iaO2ELiAZFrNZTfX0aGVpadM2bR0d6puZYW2EFsLvBaTGd3w1EhkM28F7Y/LwMwUQR2FlsEC7Otabu5/r7rbJ5aqidve4+8vc/Sx373D3i0oDV6Hdve7+Gnd/qLuf7u5PLA1chXYr7v52d9/t7g9w955qAheA5JgdGdFq0ehmOau5nGYPHmxQRYgDfi+QdGQwbAfvjcnDzxRAkgWe8WVmj5D0AknnKD/SV8zd/bdDrq0pMNoIJMORTEbLJ09u2a49k9El8/MNqAhxwO8FpOhnfJHByiODRYf3xuThZwogjsLKYIF2dTSz50r6hPIzxL4v6b6SJtGfLwkANVheWNi6URXtkAz8XiBqZDDEEe+NycPPFECSBer4kvQ2SddLerG731W/cgAgGu2dncFGOjs7G1AN4oLfC8QAGQyxw3tj8vAzBZBkQdf4eoSkdxG4ACTVrsFBWTpdsY2l09q1b1+DKkIc8HuBGCCDIXZ4b0wefqYAkixox9fXJf1sPQsBgCh1Hzig1BaBL5VOq3v//gZVhDjg9wIxQAZD7PDemDz8TAEkWdCOrz+S9PrC4qoAkDg7urq0d2JCbR0dG0Y8LZ1WW0eH9k5MsIV3i+H3AjFABkPs8N6YPPxMASRZ0I6vq5QfbfyamX3VzG4ouXyhfiUCQGPs7O9X38yMdg8NqT2TkVIptWcy2j00pL6ZGe3s74+6RESA3wtE7CqRwRBDvDcmDz9TAEll7ltvBmRm12uLXYPcvS+kmpoKW2kDAJBsYW2lvc3nvl5ksLLIYAAAJFtYGSzQro7ufkGtTwQ0i8VsVrMjI5obH9fywoLaOzu1a3BQ3QcOML0bANBQZDDEHbkJABB3QU91BFrCiclJTfX06PjYWH5LZ3ctnzyp42Njmurp0YnJyahLRJHFbFbHhod1JJPR4VRKRzIZHRse1mI2G3VpAAAkHrkpXshFAFBe0FMdn75VG3e/IZSKmgzT7JNjMZvVVE+PVpaWNm3T1tGhvpkZRjBj4MTkpI4ODGg1l5Pncvffbum0Uum09k5MsBYFgFBEfKojGWwTZLBokZvihVwEIInCymBBZ3xdL2lqiwvQ1L72pjdp5d57K7ZZzeU0e/BggypKjrBHIBezWR0dGNDK0tK6cCdJnstpZWlJRwcGGOFsEEaYgbq6XmQwxBC5KT6C5KKbLrtM/9LZyed0CyKnAcE7vvokXVhyeb6kD0m6XdKl9SgOaJQTk5P6n49+VNpiBqTncpo7dKhBVSVDPU6DmB0Z0WpJsCsVRtgmKGyN01yAuiODIXbITfESJBdpZUUri4st/TndirmOnAbkBTrVseIDmB2U9AB3Hw6npObCNPvmF2Sq/jqplK5YWalvUQlRr9MgjmQy+Q/vLbRnMrpkfj5QnaUL8571tKfp7qkp+fIypwxsgtNc0CqiPNWxEjIYGSwK5Kb4CZqLykna5/Rmmy08sLdXX3nVq1rqVFByGpKg0ac6VnJE0gtCeBwgEoFGyYq0d3bWsZpkqdfMrOWFhdDabTYS9v1PfUqr997LqZQVNGrmHYBNkcHQcOSm+Amai8pJ0uf0Zpnu9g98QP/127/dcktkkNOAU8Lo+Hq0pNUQHgeIxNz4+IYPwc1YOq1d+/bVuaLmtzaV/Pa//dst/223cxpE0BC9VbtKa2JshaAQ7P8Op7kAdUUGQ8ORm+Knls7FpHxOV8x0y8tb3j+JuY6cBpzSHqSRmf1mmZtPk/SLkn5b0jVhFgU0UjWjZKl0Wt3799exmuZXvKtQUNWOVO4aHNTxsbGKH+ZBwna1o9bF1oLCntHRbd0/CcKceQegPDIY4obcFD9BclElSficriXTScnMdeQ04JSgM74+WObyfkmvkPSPkl4ddmFAo1QzSrZ3YoJz4CvY7gyqcj+DSguQdh84oFQ6XfExg4Ttakaty4k6KES9SGtYM+8AVPTBMhcyGCJDboqfILmokmo/p6POH+XUmumk5OU6chpwStCOr/PKXH7O3c9w95e4+9arRwMxtWtwULZVWDDTrhe/OHGLXoZtO6Nt5WZmbbUDzcI3v6m9ExNq6+jY8LOzdFptHR2BwnatASfKoBCHXXqC/N/hNBegZmQwxAq5KX52dHXdn4tkVtV9q/2cjkP+KCeMTquk5TpyGnBKoI4vdz9e5nKi3sUBjRBklKztjDP0mLe8pUEVNa/tjLaVzsyqNGuseAHSzkc9Sn0zM9o9NKT2TEZKpdSeyWj30JD6ZmYChe1aAk6jgkK50b+bBwf1pV/7tcgXaQ1r5h2AzZHBEDfkpnja2d+vvpkZWXuglWzuV83ndNCMFsXMr1o7reqd6yrN5qrXvys5DTgljMXtgaZWPEpWy+whbG+0zd01OzJy/4d5NTvQ7Ojq0p7RUV0yP68rVlZ0yfy89oyOBv5ZBRq13kQjgsJmo39zH/2oVn/yk4r3bcQirfzfAYDWw3t/41R76tuOri55gIXc11T7s4rzLoG1ZDqpvrluq9lcM69+dV3+Xfm/Cpxi7h51DU2tt7fXp6enoy4DIVjMZjV78KDmDh3S8sKC2js7tWvfPnXv388HQsFiNqvZkRHNjY+f+jcaHFT3gQPa0dWlI5lM/gO9SpZOK5VOa+/EhKZf+MJAj9GeyeiS+drO8FnMZjXV06OVpaXA9ymutZ6ncGyntlJh/BsFwf8dJJ2Z3ezuvVHXgfXIYNHivb++ijcLKp4FtJZDHvee9+hH09MbMtmdH/6wVhYXt3x8S6d10de+VtXPKmjOa1T+KBY0N1l7+7rOwXrnujDy3Jrt/rvyfxXNLKwMRsdXjQhdaBVbBbC9ExP63rXX1rSrUFtHR3XBwGxD51u1Kr0ua2vT2c98pn5www0NDwrHhodr+reUJKVSumJlJbyigBZFx1c8kcGQVIE7S9rbpZJOHF9dzX9T4fPf0mntHhqqegfDw6mUFORvxwbkj3KDsWc9/em6+1//Vb6ysnln4S23NLQDKJQ8t4ZchxZEx1dMELrQCoIEsLaODj3x2mv1xcsu2/ao1to07GrDQa2jdXEcCdvu7LliUYy4AklEx1c8kcGQVKF2lpTR1tGhvpmZqjNOXGZ8VRy0bG/Xgy+6SPdEMGhZThh5bg25Dq0orAy26RpfZnaNmXUXvv5NM/vZWp8MQHMKuqbDd665ZtO1BIJYCy/V3rfWBVVrXSusHmrdnYhdeoDmRQYDWtt2Ngtap61N1t4e+rpOcdglcKuF4FfvvVc/+PzndcEtt8Qi04Wx26RErgNqVWlx+ysknVX4+mpJnAAMtKggAcxzOc0dOnT/rkKluy0G5cvLW+5As5moFlSth1p3J2KXHqCpkcGAFlZzZ8nKilKnn17TztflxGGXwDgvsF9OrXluDbkOqE2ljq8Tkp5c+NokcU4k0GLWdhMKOkV7LaiVm0HVfuaZgR6j/cwztz1rbK3zLQkC705ktv5bdukBkoAMBrSgtdwVaB2tLawsLYU+mz0OuwRWMxgbB0Fnye289FJ2XwTqqFLH1yckHTSzFeUD101mtrLJJfi+uQCaQvHWy0FVGtWqZnp8uVljQYU1pTxqgUZVzzhDD3vxi0MdzQUQC2QwoMVsJ3dVEtZMo1KbzexvVP4ImvPikgeDzpJ73LvfHem/K5B0my5ub2YmaUDS+ZLeLOmDkv5nswdy9zfWob7YY2FVJNF2tl7eaoegoAvkb7bYalwWVG2kIDtpEoSA+mv04vZksGDIYEiK7eSuSra7a2MzaMY8SJ4Dti+sDNa+2QHP94j9Q+HJXiLpr9z9WK1PCCD+gqyfUGqrtQfWpsdv9cG/2TTuXYODW+5wlLSFP9dGVeO24ySA+iKDAa2lmtxl7e3y5coTPZO8HlQz5kHyHBC9TWd8IRhGG5FE1Wy9XO1o1WI2u60P/lpnjAHAdjV6xheCIYMhKarJXef+3u/pgU94gr7yqle15Awi8iDQWsLKYIEXzjGznzOzd5nZUTPLFq7/3MweWmsRAIJbW/j0SCajw6mUjmQyOjY8rMVsNrTnqGZdhGrXHii38H2QxVbjsKBqnDXi9wJANMhgQH3E5bMzcO5KpbRndFS7X/ayll0PKuo8GJffGQDVCTTjy8weJenfJT1Q0n9I+p6kh0r6ZUk/lPQ0d/9WHeuMLUYb0UiNWiMgzusnbHfGWJKxdgRQX1HO+CKDbY4MhlrE6bMzzrkrrqLIg3H6nQFaRaNnfP2ZpHlJj3L3Pnf/DXfvk/Sowu1/VmshZrbLzN5jZjea2ZKZuZmdW6adb3J5fEm7lJldaWa3m9lPzOyYmT1vk+d+uZl93czuM7NvmNkra309QNgWs1kdHRjQytLShnUNPJfTytKSjg4MVBxxCjpKVc0OjI223RljSRXG7wWAWCODASG76/Of1xcvvzw2n51xzl1x1eg8SN4CmlvQjq8+SW9099uLb3T345KuKhyvVbekFyg/evlvW7T9oKQnl1y+WdLmbYXaRiX9P/buPU6Ossz7/+fq6U7IZDLiIbC64WQCKIZkf88moqyrkLBiTCSC8bBLsihC1LgiMe6zy7MuGJZV9nFjQGdVcERx4gEYEAgwopCI+wgIEUxCDLDTmkgAQxCIcwhhDvfvj64eenr6UH2s6urv+/WqVzLVd1ddVdPTffVdd133IuB+4AYze3dmIzM7H7gKuBF4F6lisl8zs0+Ufygi1een8Ono0BC969fnfCxzmuzhvj5wjuG+PnZ3drJ5zhz29vSMtfU79XJUC6c2kkpfFyISesrBRKpob08P977znUULxNfzs1N5V/gp3xJpbH5vdRwE3u+cuz3HY0uA65xzUysKxCzmnBv1/n8e8E3gmOxEz8wc8O/Ouc8V2NZhwBPA5c65SzLW3w1Md87N8X6OA08BPc65czLaXQOcAbzWOVfwHU7D7KVeKhkGX04hUA3nbgy6PUKk9gK+1VE5WB7KwaRUfvKhTPX87FTeFW7Kt0SCUe9bHX8NfMrMxrU3MwNWeY9XJJ1wVcnpwCRgQ9b6DcCJZnaM9/Nbgek52nUBrwbeVsWYRCrit/BprnalXKVK3w655YMfHEsMLZEAs6YpnNpIKnldiEhDUA4mUiV+8qFM9fzsPHzRooIF69uOO05F1QOkfEukscV9trsUuA3YaWbXAU+TKqz6fuBYYHFtwsvrE2b2j8AIqeHzlzjnMofmvwk4CPRmPW+H9+8JwO+8dgCPFGi3uVpBi1Qi3tbm70pTW9uEdXs2bJhQjyCbGxri99dcwxPf/va4q41uaCg1S86UKcz74Q/V4RUylbwuRKQhKAcTqRI/+VCmen92putWze3oGLc+12iwdLmKJ669VqPB6kD5lkhj8zXiyzn3Y2AJ0Af8C/BfwOeAfmCJc+4nNYtwog2krnCeBqwkdVVwk5mdktHmVcALbuJ9nM9lPJ757/NF2o1jZivNbIuZbdm3b1/pRyBShkoKn/q9+jR64ICKdlZBPae6VkFckWhTDjaecjCpRCmjccLy2ami6qWpVQ6mfEuksfm91RHn3I+9eyunAUcA05xzb3bO3Vmz6HLHscI5d51z7r+dcxtIDYV/CrisjjFc7Zyb55ybN3369HrtVppcJYVPq3X1KbNoZz07dxpJKZMIVIMK4opEn3KwcTEoB5OylZIP5frsDCL3UVF1/2qZgynfEmlsvju+0pxzg865J51z/qpC1phzrg+4HZifsfp54FCv/kWm9NXD5zLaAbyySDuRwE2dOZP53d20tLZOuOJkiQQtra3M7+7OOY2zn6tUfrihIfZ0ddW9c6dRBHFVtpLXhYg0FuVgIpXxmw9ZPD7hszOo3MdvuYo9XV012X+jqHUOpnxLpLGV3PEVYplD6ncAk4Hsd54TvH9/k9EOXq4zka+dSFH1uApYrPBpvvoOfq5S+TXc16ch93kEdVW23NeFiEjgZ4STAAAgAElEQVSVKAeTqqh1LuUrH2pp4a133jnuszPI2w1VVN2feuRgyrdEGpdNLMEQvEJTaedo206qMOou59zbvXWHAXtITbm9NqPtXcDhzrkTvZ8TpIbo3+ac+0hGu07gTFJTab9UaP+aSlugMaagzhdjqdJXuQptwxIJjlq5ckJx1qjTVNci0VStqbQbgXIwCUq9cqly9rN11Sp2d3bWLPcZSCbpXbeOPRs2MNzfT0trK61HH83grl2MDAz42kaz5xbKwUSiqVo5mN9ZHevCzJZ5//1L799FZrYP2Oecu8fMPgscT2qWn6eAo4DPkprd6Oz0dpxzz5jZl4GLzKwPeAj4ILAAOCOj3ZCZ/SvwNTN7ErjLa3Mu8KliCZcIjL8KmM0NDTEyNMSDy5Zx6rZtgQ5/Tl+l6l2/nj1dXWPD9Evhp9Mr/fierq6m6/jSVVkRaVTKwSRI9cylJuRD/f3E29qYsWIFs1avzrn9Um43LDX3ydURNzIwQN+OHUWe+TIVVVcOJiKFharjC7gh6+evef/eA5wCPEbqKuCZwCuAPwG/AD7qnHsg67n/QmrGo0+TSsoeAz7gnLsts5Fz7htm5oA1wD8Cvwf+wTn3NUR8KGVoddAdQelpsl931lncu3Bhyc+PJRI5k9JcmjGx0FTXItLAlINJYOqdS6XzIb/bqlWnSqEOv1KoqLpyMBEprGiNLzObZGYPmdk7ax2Mc87yLKd4j290zv2Vc+41zrmEc+7VzrkzciRcOOdGnHOXOeeOcs5Nds7Ncc5159nvVc6547x2xyrhklIEUXS00hoY2y+4oKT9ZRbtjE+b5us5zZhYaKprEakm5WDSLMJWwD07z/I7Qr7U3MdPh18hKqr+MuVgIlJI0Y4vb6j5McBw7cMRaTylXAVMJ1K3tbVxi9nYcltbm++Oq2rMKlTK8Pnsop1KLPLTVNciUk3KwaRZlDOiqpqF8Mdty4y7Zs1i1ze+UVJZiHJyHz8dfvmoqPp4ysFEpBBfxe3N7Hrgt865f659SI1FhVXFbzHN2JQpmBkjBw/CyMjEBi0ttEyeXLB460AyyeY5cwoOiW9pbS1aA+OWCbPM57c06z2iWjFEVSNMdCAipQmyuL1ysPyUg0VHqYXJq/lZW63Jf8rJfUoZTTZOLMbSXLlkk1MOJhI91crBio748nwV+Fsz+08ze5uZzTSz12culQYi0qj8jIAiHh+b7jpnpxfAyEjR6bDrMVVzMVNnzmR+dzctra0TjltD7jXVtYhUnXIwibxSRpNn1sXK7qhK51qFcqlMhbblVyW5T7llIZqxnIQfysFEJB+/I75GM37M+QTnXEu1gmokutoofkZAlSI9Hfas1avHTW0db2tj5MUXfSVmxaZq3jR7tq/bHafNns2C7dtzPjaQTJY0I5KISKMKeMSXcrA8lINFRymjyXvXrWP3N7+JG85/B3A6lypWvH7rqlVFt5VXLFZx7rN11Sp2d3aW1Onm99hERKKgWjmY346vc4q1cc5dW2kwjUhJlwwkk2y74AKeueOOqm0zfVtk2cPuM4bADySTEzrQXn3KKezduLHoZk6++26mL1hQ+v5FRCIk4I4v5WB5KAeLFr+3qd3W2srIgQNFt1fsIiDge1sT+LzVMFcONmP5cmatWcPUmTPLunjazOUkRKT5VCsHi/tp1KwJlUgxmUlaNY2Wk4RlSA+Bz5VEDvf1sfe22wo9HYDj165Vp5eISMCUg0mzSN+mVmg0+UAy6bujqljNsFK2NcHoKFtXrRrrwMolXw62u7OTJ669dqwjb353t68aY5kdgOr0EhEpjd8aXwCYWczMZpvZO8xsaq2CEmkE1agLUQt+amAUKqQ6bfZsTr77bt5w8cU1jlRERPxSDibNYOrMmczt6GDx/v0sHRlh8f79zO3oGOvo6V23zv/GnCtY56ukbeVQaDbtUuqQ5apL1dLWxrTZs2lpa1OdKhGRKvA14gvAzD4JXAK8hlSNifnAQ2Z2M7DJOfeV2oQoEk5+Cs0HIT1VcznxtbS2ctLNN+tKoohIiCgHE0nZs2GD/8Zm9K5fz9yOjpy3HI68+GJFsbihIUaGhnhw2bIJtx6WMhlRumNvbkeH6naJiNSIrxFfZnY+cCVwM/ABwDIe/m/gfdUPTSTc9mzYELqRXpmzCpUTX61nhBQRkdIoB5MoG0gm2bpqFbe3t3NLLMbt7e1sXbUq70it4f5+/xt3jj1dXezt6WHznDns7uxM3f7oHMN9fVXL4XLlTn5yMDc0xJ6urqrEICIihfm91fEzwDrn3ErgR1mPPQocX9WoRBpAScmXT7HJk2mZMsVXW0skCk7VXE58SsJEREJHOZhEUr4OqUK3EKZrmPo13NdX87IUuXInvzlYLXJJERGZyG/H1zHAnXkeGwAOrU44Io2j1OTLFzNee9ZZWCJRuJk3lXW+GhiVxKckTEQkVJSDSeSUUgMr04zly4vmSJksHq9LWYrs3MlvDlaTXFJERCbw2/H1LHB0nseOB56sSjQiDaTU5MsPNzKCMyNWZLvpOl6FlBtfsSSs1NsSKlXv/YmIhIxyMImcUmpgZZq1Zk3RHCktnQPVoyxFdu7kJwezeJwpRxxR9fymVnmT8jERaWR+O75uAy42s9dnrHNm9hpgNam6EyJNpZTkyy83NMTeW29lfnc3La2tE5Km7Dpe1Y4vPSNkPuXcllCJeu9PRCSElINJ5JRbA2vqzJnM7+4m5qMsRCyRwA0PlxVfOt86bPFiX6Pws3MnPzmYGx6m77HHqprf1CpvUj4mIo3Ob8fX54CDwCPAXaRmFPoKsBMYAS6tSXQiIZZOvnJ1UI1paSl5u8P9/Tmnti51Kutx8cX9TeBq8XjekWTl3pZQrnrvT0QkpJSDSeRUUgPr8EWLWLB9O4cvWZLzOZkXCf3eSpivbuqcK68saxR+oRxxXE6W1TFXSX5Tq7xJ+ZiIRIGvji/n3LPAPOCLQAJIAnGgA3irc25/zSIUCbHMDqqcVx9HRkrf6OgoW1etAmBuR0fBOl5+42s73l/t49csXJh3++XellCueu9PRCSMlINJWFVy61ulNbCmzpzJWzZu5LTeXo7+5CfzXiScsXw5+Lj4d9jpp+fMtwp2YBUZhZ/vImbb8ccXjamc/KZWeZPyMRGJAnPOBR1DQ5s3b57bsmVL0GFIwAaSSTbPmcPI4GBVtmeJBNbSwmsWLuS5n/+c4f5+4m1tzFi+nFlr1pTU+QVwe3t7amh6EfH2dhbvz/0dqhrbKEW99yciko+Z/co5Ny/oOGQ85WDB2dvTw4PLljE6NDRuFJAlEsQSCeZ3dxccnb511Sp2d3YWvN0xPZHP3I6OsuPcfc01/PqjHy3aLnbIISx45JG8+dVAMknv+vXs6ep6OSdbsYJZq1cHkpNFYbsiIn5UKwfze6tjeqftZnaymb3fzN5qZtMqDUAkCvxcDSuFGxpi9MUXeeb226tSS6Ea02rXe2puTQUuIvIy5WASFtW49c1PDSw/E/kUi3P7pz7lq60bGSk4YmnqzJkVj8JP89OJBKXnN7XKm5SPiUgU+O74MrOLgSeA/wauA34B7DGzz9UoNpGG4adIazWUW0uhGtNq13tqbk0FLiKSohxMwqQat75VcgthNeNMy1VIvxZqkbuV2j4s2xURqSdfHV9mthb4PKlk62+AE4HTgOuBtWb2+RrFJ9IQ6n2Vq9RaCr6m1S4yo2M1tlGKeu9PRCSMlINJ2JQ7I2O2akzkU2mcmeqRy/WuWwdmxRualZzf1CpvUj4mIlHgq8aXmT0FfM859485HvtP4O+cc6+rQXyhp/oSzWUgmaR33Tr2bNgwru7WE9/9LiMDA3WNpZRaCn5qkLW0tnLqtm0F61tUuo1S1Ht/IiL5BFnjSzlYfsrBgnFLLAY+awTHp00ruz5ppUqJE+pTo8pvvSyA03p7SzpntcqblI+JSJDqXePrFcCdeR77sfe4SODKmWEo33P2bdo0bv1tra3cdfzx7PrmNyfU3Rp58UVoaanjkZZ2ZbIatxTU47aEIPcnIhJSysEkcJm5UimdSaXWJ923aRObZs/mFrOxZdPs2ezbtKnkmEu59a5eI5Z8525mJec3tcqblI+JSBT47fj6JTA/z2PzvcdFArW3p4fNc+awu7PTd0H4fM/ZdfXV3LtwIbuuvnps/ciBAzAyAsPD47bhhoZS60dG6nWoQOm1FKpxS0Gtb0sIen8iIiGkHEwCNSFXKpHf+qSPXnop9y5cSN+OHePW9+3Ywb0LF/LopZeWtF8/t+ilVVpI3y/f9bKmlTd3Ra3yJuVjItLo8t7qaGaZnWInAD8CrgZuAPYChwMfAM4HljrnflPbUMNJw+zDwe8w7JM2buSp7u6xWxVLuWpZVEsLZgZmNS90X40pvkVExJ963+qoHMwf5WC15ye/8is7d8kuH+EnJzv57ruZvmCBr/35jT12yCG8+aab6tJ5s3XVKnZ3dhbME5XjiYi8rB63Og4DQ96yFZgJXA4kgX7v3y9667dVGohIJfzM3DNy8CD3vvOd40Z3VdXICLFDDhl3NSw2ZQoWj2Px+Lim6aHhx69dm3PoeDH1ujIpIiKBUA4moVDKzIjFZBa8zzXi3o/tn/607/0VukUv7bAlS1jwyCN1G7E0a80aYkVyPuV4IiLVFy/w2KVAlXsGRGrD18w93q2Iroa3JI4MDjK3o2PcVbqBZJLe9evZ09X1ckH8FSuYtXo1U2fO5Iizz57w+Kve/naevftu3PDwuOOyRIJYIlGVWgr5CvUHUYBWRETGUQ4moVDqzIjFDPf3M5BM8uCyZWWNIut75JGS2qdv0SuUh9Xbq089lWduv33C+mrmeCIiMp6vWR0lPw2zD4dSZ+6plWrOCFSsw6wSe3t6eHDZMkaHhvJ2rKleg0jp1KEcTUHO6ij5NXsOVo/3m2rnV/H2dmacfXbR2/0KWRqCfK8c+XKvtMOWLGHOFVfos0JEJEO9Z3UUCbVSC73XQrVnBJo6cyZzOzpYvH8/S0dGWLx/P3M7Oqoy0it9pTU78fJbgFZeVs5MohJN5UywISJSjnq935SUXxWZ3TqdJ1V7FFkjKJR7pf2xjJkrJVjKAUUah++OLzN7o5n9q5ldbWbfzVqurWWQIrlkftiUM8tQtTVKTQY/9TpGh4boXb++ThE1LnV0SJo6lKWWlINJpnq+38xYvhzihSqjZChSSiKdJw3395cdz7TZs8t+bpCUe0WPckCRxuKr48vM/h7YDlwMLAb+OsciUjeVTq1dTelC9emaDGG/+uPnSmtmAVrJTR0dkklfaqRWlINJtnq+3xw6bx4MD/tr3NKSmuE6q3h7dp5UySj9wd/+1lduFbZcTLlXtCgHFGk8vmp8mdn/kJo16KPOuRdqHlUDafb6EvU0kEzy6CWX8OR11+H8JmE1FpsyhSPPPXes7lYj1M7yXa8jFmNpDScCaHSaklwy+R15Ws06gFI/Qdb4Ug6WX7PmYLV6vxlIJtl58cU8dcMNZd+K2NLWxhHnnDOuPunhZ5yBOcfTN9/MyMBAWdsFIBaD0dGxH/PlVmHMxZR7RYtyQJH6qVYO5rfjqw94r3Pu7kp3GDXNmnTV296eHh4480xGDx4MOpRxWlpbOXXbtrGRXpvnzCk4S1Fm+6DoC3p16DxKJn2pibaAO76Ug+XRrDlYLd5vqpZnZe0z3Qk1cvBg0Vsh8zIreLyNkIspZ4gW/T5F6qfexe1/Abyx0p2JlGMgmeSB972vvGTMb12KMmXeSlDqrQdBDcOfsXz5hNsQslW7UH8U+a1RUkktE2kcfm/dCcNEHNJwlIPJONV+vxlIJnngrLOqcnExc5+Zt4NV1OlVRCW5mB/VyNeUe0WLckCRxuO34+sfgJVm9rdm9mozi2UvlQZiZjPM7Ktmdp+ZDZqZM7Ojc7Q7xMy+ZGZPm9kBr/3bc7SLmdlFZrbLzF40s61m9r48+z7fzB41s4Nm9piZfbzS45HyZScYd7/xjYweOFDexmp8S2RmPYZS6jcEWRBz1po1xIokX41SqD9I6uiQTPpSIzWkHEzGqfb7zc6LL2b0xRcrjit7n346oYpyrujoNjc0xK7/+i9ub28vevtZur3fWlrVyteUe0WLckCRxuM3WdoDPAxsAJ4BhrKWl6oQyyzgA8DzwH8XaPct4HxSRV6XAE8Dd5rZX2S1+zfg80AHsAi4H7jBzN6d2cjMzgeuAm4E3gXcAHzNzD5R4fFIGXIlGGGf8jp9Ncf31Z++vkALYk6dOZP53d20tLYWLUAr+amjQzLpS43UkHIwGaea7zd7e3p48vvfr0pc2fv0c0Gwmob7+nzvz0/OVs0C5sq9okU5oEjj8Vvjqwv4ILAReJQcSZZzbm1FgZjFnHOj3v/PA74JHOOc25XRZi7wa+Bc59y3vXVxYAfwmHPuDG/dYcATwOXOuUsynn83MN05NyfjuU8BPc65czLaXQOcAbzWOVfwE7RZ60vUgp+6DGGUvn/f7/3+6Q/KoAtiDiST9K5fP64A7YwVK8YK9UthYa0jIsEJY0FlqY6Aa3wpB8ujmXOwarzfVC3vMqNlypQJ+/RdiywAfmov1aKAuXKvaFAOKFI/9a7xtRT4R+fc+5xz/+KcW5u9VBpIOuEq4gxSVzevy3jeMPBD4HQzm+ytPh2YROrqaKYNwIlmdoz381uB6TnadQGvBt5WyjFIZaoyJL7OMq/m+L36A4U7vdKP13pK66kzZzK3o4PF+/ezdGSExfv3M7ejI+cHdNimBQ8DXb2VbIcvWsSp27Zx1MqVxNvbIRYj3t7OUStXcuq2ber0knIpB5MJqvF+U628a+qsWTn3WZXbvMx81fkqaZM+R+KUUsIC/OVKpeReEl7KAUUaj9+OrwHgN7UMxKc3Ab9zzmV3r+8glWTNymh3EOjN0Q7ghIx2AI8UaSd1UO8h8dWQOazf760H1RyGXw9B1iMLO3V0NLdcX3J6161j1urV+lIj1aQcrIkV6kyptBOlWnnXwb17c+5zxvLlWKWTDDmHxSouYzeO39tASylgrlyp+SgHFGksfj9Jvg38XS0D8elVpOpPZHsu4/H0vy+4ifdx5mpHjm1mtxvHzFaa2RYz27Jv3z5fgUtxYenoKUXm1Ry/V3/i06b52nYYCmJWs75FVOnqbXPa29PDphNPZNc3vjHuS86ub3yDTSeeqC85Uk3KwTI0Uw5W6/eZauVd+bZz6Lx5uCpMMjT2QmppqWg7pY7E8ZuHtbS2KldqUsoBRRqH346v3cApZvZTM1tjZudmL7UMMmycc1c75+Y55+ZNnz496HAiIwwdPSUxm3A1x8/Vn0YqiFmLacFFGt1AMskDZ56Zmm02+7u9c4weOMADZ56pLzlSLcrBMjRLDlaP95lq5V25tjOQTLL9U5+qyvYZGRn7b0sFMZc6EsdvvtZ61FHKlUREQs5vx9fXgaOAhcCXgM6s5Zs1iW6i54FX5lifvir4XEa7Q80mFAXI1Y4c28xuJ3XgJ8HADDKHvMfjTD322OLPq4F8I7eKXf1ppNnfSq1vIdIMHr3kEkYPHizYZvTgQR695JKCbUR8Ug7WhOrxPuMr7yrGLOeFulrUbbVYjCPOOYejP/GJkuOOt7eXPBLHb742uGuXciURkZDz2/F1TJHl9TWJbqIdwDFm1pq1/gRSsxz1ZrSbDGR/uqXrRfwmox28XGciXzupAz8JRsuUKZz2+OMsdS61DA1x2uOPs3DnTlpas18WtVPJiKxGKohZSn0LkWbx5PXX+2t3ww01jkSahHKwJlSP9xk/eVcxsUMOyXmhrhZ1W9OdR6XGXW7O5jdf8zsrpnIlEZHg+Or4cs7tLrbUOlDPRiABvD+9wpsO+4PAT5xz6UtjPyY189DZWc9fDjzinPud9/N9wLN52j0H/KKq0UtBlXQIZT630hoQflQ6IqtRCmL6vQ2i4W5TFamA3y9z7qWXahyJNAPlYM2pHu8zxfKu2OTJBYvTxyZP5s033pgzL6tVJ89wf//4uH0Uz68kZ/OTrylXEhEJvwqnWqkuM1vm/fcvvX8Xmdk+YJ9z7h7n3MNmdh1whZklgN8BnyB1xXMscXLOPWNmXwYuMrM+4CFSidkCUtNxp9sNmdm/Al8zsyeBu7w25wKfcs7pW0udpROM3vXr2dPVxXB/P/G2NmasWMGs1asnJFcDySS969axZ8MGhvv7aWltZdob3kDfjh159pBfvL19bH+vfvvb2XfXXbiRkXHJpyUSxBKJqozISt8SObejo6Lt1NKM5cvZ3dlZMAEPSz0yEREpn3Kw5lQs7wLY+fnP89R1143lAjZpEn/+/vfzhrVrAdi6atVYHhZva2PG8uW0tLYyMjBQ9XjTnUeZcT/x7W/nHHVVrZytWL6mXElEJPxs4qQ7ORqZ/Y6MSVVycc5VPNTezPLt4x7n3ClemynAv5Oa4ehQYCvwT865n2VtqwW4CDgf+DPgMeBS51x3jv1+DFhDqobG74H1zrmv+Yl53rx5bsuWLX6aShWM6+jq60utNJtY+LVE02bPZsH27RP35bMDrtayO/jSieWsNWtqGstAMsnmOXMKDuNvaW3l1G3bSoojqOMRqYZbJ03yNRrDEgnO0KivSDCzXznn5gW0b+VgeUQ5Bwvb+0z6c/uJ7353YodWvjysCvlZ9vYsHscND0/IG4LM2UrNlZQDiYj4V60czG/H13eYmHS9GjgZ6Ac2OeeaalahtCgnXWGzt6eHB5ctY3RoqOp1I06++26mL1hQ1W1WS77jzrySWctbI6u9/6CPR6RS959xBns3biza7vClS3nLzTfXISKptYA7vr6DcrCcopyDhel9Jv25PXLw4LgZFoMWprzBb26jHEhEpDTVysH81vj6sHPuI1nLGcAs4A+khqeL1MxAMskDZ53FyOBg1Tu9jl+7NrSdXgPJZCrZzHHcbmiIkcFBHly2rKLpzIupZj2yMByPSKUS7e3+2qmei1SBcrDmFJb3mczP7TB1ekG48gY/uZJyIBGR4Pid1TEn59wLpKbWvrg64UgzGUgm2bpqFbe3t3NLLMatkyZx66RJ3GLG7e3tbF21auzD/+HzzmP0xRerH0Qsxivnz6/+dqvEz3Tgo0ND9K5fX9M40vUtFu/fz9KRERbv31/ytOAQnuMRqcQfbr3VXzsfozVEyqUcLNrq+T4zkEyy5eyzx3KwW8y4NZHgruOO4643vMH3rIV5mUGsoq8cBYUlbyiWKykHEhEJjq9bHQtuwGwxcJ1zrikvbUd5mH0t+bltMT1TjwMYHq5ZLOXUqKqX29vbX65lVkC8vZ3F+/fXIaLKRO14pDndEov5q1tjxtLR0doHJDUX5K2OhSgHi24OVq/3md3XXMOvzz8fGvy9qhHyBuVAIiKlq+utjnkCiJvZXwCfB0qfQk+aVqGh3pnc8DBueLimnV4Q7qtrfqcDr9W04dUWteOR5mQtLf7axUM1cbJEiHKw6KvH+8zua67h1x/9aMN3ekFj5A3KgUREguOr48vMRs1sJHMBDgK/IlVjYnUtg5Ro8TPUu57c0BB7urqCDiOnuM/aHX7bBS1qxyPNyfmsc+O3nUghysGaU63fZwaSSX69cmVZzw2jRsgblAOJiATH72WiS5k4o9CLwG6gxzmn8bji254NG6peoL5SYb26NmP5cnZ3dhY8X5ZIMGPFijpGVb6oHY80Kb8lAiIwikJCQTlYM6rx+0zvunV1K1ZviUT5eZ9Z6t8C56NR8gblQCIiwfHV8eWc+3yN45AmEsZOprBeXZu1Zg1PXHstIwWSpFgiwazVjXHBP2rHIyJSa8rBpBb2bNhQt33FEglcPM7ogQOlP3fyZDAr+NxGyRuUA4mIBKd2U6yIeLJnb/R9FbNOwnx1berMmczv7qaltRVLJMY9ZokELa2tzO/uDmVh/lyidjzSpNIjEKrVTkQkWw3eZ/Zt2sRdxx3HLWa+iqxXy4lf/SpHfvjD4LNu2ZiWFt580028+cYbI5E3KAcSEQlO3hFfZlbS9NjOuUsrD0eixs/sjUEL+9W1wxct4tRt2+hdv549XV0M9/cTb2tjxooVzFq9uuESpKgdjzQfa2lJTbxRrJ2K20uZlINJtd9nHr30Uh675JJKwyrLCw899PJop8FB389rmTKFwxctAohM3qAcSEQkGObyjL4xMz9FA8ae7Jwr8TJONER5Ku1KDSSTbJ4zp6QkJwhvueOOscRKRKQY3yNXzViqOl+RUK2ptEvYn3IwH6Kcg1XzfWbfpk3cu3BhlSIrXby9ncX7949dDPWdF8ZiLNUkISIiTa1aOVihWx0TRZb5wE8AA3orDUSiJ2yzN+Yy4+yz1eklIiXxPTPXtGk1jkQiTDlYk6vm+8z2Cy6oNJyKpGu7pkc7Zd/ml09Y66+KiEjjydvx5ZwbybUArwc2AL8ETgBWev+KjBlIJovOXBM0i8d5w9q1QYchIg1mxvLlxWvVtLSEtnaghJ9yMKn0fSazvmrfjh01iNC/zA6sqTNnctR55xXt/Apz/VUREWk8vovbm9kRZtYJ7AAWAJ8FjnXOdXrJmAiQquu1ec6cUHd6Acy96irVUhCRkr1u2TIodvvNyAivO+us+gQkkaccrPlU8j6TzsN2d3bWtYh9Lrk6sGatWUOsSMdX2OuviohIYyna8WVm083sSuBx4H3ApcDrnXNXOOdeqnWA0lgGksnS6jcE6JELL2TrqlUMJJNBhyIiDeSp7m5fIzGeuumm+gQkkaUcrLlkjtLyVZMrx/tMZh4WhguQuTqwNLuhiIjUW96OLzN7hZl9Afgt8FHgSlLJ1mXOuYF6BSiNpRHqeqUN9/Wxu7OTzXPmsLenJ+hwRKRB7NmwwddIjD1dXfUJSCJHOVjzKWuUVo73md516xh9KRx9ooU6sNL1vo5auZJ4ezvEYsTb2zlq5UpO3bZN9VdFRKSqCs3q+EFy84MAACAASURBVBzwClLFUy8Dni60Iefcb6seXQOI8oxC5bi9vT3wYfXlaGlt5dRt23R1UUSK8j3bmmYki4wAZnVUDuZDVHKwimbBjsU47fHH6V23jj0bNoQmB5s2ezYn3Xyz8ioREalItXKweIHHDvX+PR14p49tNeVU2pIykEzSu25daBKuUo0ODdG7fj1zOzqCDkVEQi7e1ubrvU4zkkkFlIM1kUpGy1siweY5cxgdGgrFrY2QmjxInV4iIhImhTq+PlK3KKThDCSTPHrJJTx5/fWhSbQmMMMSCZyPIf9uaIg9XV3q+BKRomYsX1501lrNSCYVUg7WRPZs2FB2LuUOHiRs40rd8DCDu3er40tEREIjb8eXc+7aegYijWNvTw8PnHkmowcPBh1KYc7RcsghDA8N+botabi/vw5BiUijm7VmDU9cey0jBb6oakYyqYRysOYSxfxj+6c/zYLt24MOQ0REBPAxq6NIpn2bNnH/e94T/k4vz3B/v+/bjXRbkoj4oRnJRKSaoph/9D3ySNAhiIiIjFHHl/i2t6eH+04/vfhsZiESb2tjxvLlE76cZtNtSSJSCs1IJiLV4idPERERkfKp40t8GUgmeXDZMtzwcNCh+JbuzJq1Zg2xIgmlbksSkbKMjqZupU4vo6NBRyQiDcZPniIiIiLlU8eX+FLJjENBSXdm6bYkEam2vT09bJ4zh92dnakZHp1juK+P3Z2dbJ4zh709PUGHKCINIjNPoSUaE3ROmz076BBERETGqONLfKlkxqF6y9WZpduSRKRa0iNgRwYHJ7wvuqEhRgYHeXDZMgaSyYAiFJFGc/iiRZy0cWPQYVTNiVdeGXQIIiIiY/LO6iiSqVFmHGppa+OIc84ZG+mVaerMmczt6GBuR0dA0YlIFPgZATs6NETv+vV6vxER357q7sZiMVwD1VLN5dA3v5npCxYEHYaIiMgYjfgSX8I+45DF47zljjtY0tfH3I4O3bYoIjXjZwSsGxpiT1dXnSISkShopNH1+djkycz7/veDDkNERGQcdXxJUQPJJFOOPDLoMPJraeGtd96p2xVFpC78joBtlJGyIhIOjfyekS4zcdKPfqSLjyIiEjrq+JKC0gWc+x97LOhQJkgnWW/ZuFFD6kWkbvyOgA37SFkRCdZAMsnWVau4vb2dW2Kx1MywjcZMNVNFRCT0VONLJti3aRPbL7iAvh07gg4FgOPXruWIs8+md/169nR1MdzfT7ytjRkrVuSs5SUiUkszli9nd2dnwVuSLJFgxooVdYxKRBrJ3p4eHly2jNGhoYa7vdESCWKJBPO7u9XRJSIiDcFcI15dCpF58+a5LVu2BB1G1Tx66aU8dsklQYcxJtbaynsGBoIOQ0RkzEAyyaY3vYnRgwfztolNnsyCHTvUMR8RZvYr59y8oOOQ8Ro1BxtIJtk8Zw4jg4NBh+JbvL1dFx5FRKTuqpWDacSXjNm3aVOoOr0w48iPfCToKCRkBpJJetetY8+GDS8n4cuXM2vNGiXhIiISGvk+r4b/9KeiM8OGSby9ncX79wcdhoiISNnU8SVjtl9wQdAhjOccs1avDjoKCZFct4YM9/Wxu7OTJ669VrddSF30rluHGx0t2MaNjtK7fj1zOzrqFJWIhEmhz6uGurUxHtdt2yIi0vAarri9mZ1iZi7H8kJWu1eaWaeZPWtmA2Z2l5mdmGN7h5jZl8zsaTM7YGb3mdnb63dE4RGWml5jzDSCR8YMJJM8uGwZI4ODE740uKEhRgYHeXDZMgaSyYAilGaxZ8OGol9c3dAQe7q66hSRSO0p//Kv2OdVI2mZNEkXIUVEpOE1XMdXhguAt2Ysp6UfMDMDNgLvAj4FvA9IAJvNbEbWdr4FnA9cDCwBngbuNLO/qPUBhEkYOwvi06YFHYKESO+6dUVvDRkdGqJ3/fo6RSTNari/v6rtRBqM8q8i/HxeNYr53d26CCkiIg2vkW913Omcuz/PY2cAfwUscM5tBjCz+4DfAf+bVNKGmc0F/g441zn3bW/dPcAO4FJvO03h0TDV9kIzoslEpYyy0e1lUkvxtjaG+/p8tROJIOVfRfj5vGoELW1tKh8gIiKR0Mgjvgo5A3gqnXQBOOf2k7oKuTSr3RBwXUa7YeCHwOlmNrk+4QZjIJlk66pV3Nbayp7vfS/ocMaJJRJ5h9an4769vZ1bYjFub29n66pVoRy1JtWjUTYSFjOWL8cSiYJt1HkvTUr5F9H4HLJEgiPOOSfoMERERKqikTu+vmdmI2b2RzP7vpkdmfHYm4BHcjxnB3CkmbVltPudcy57PukdwCRgVtWjDom9PT1snjOHXVdfzciBA0GHM8YSCVpaW/MOrU/HvbuzMzXiwrmxYrGb58xhb09PAFFLPfgdPaNRNlJrs9asIVak46tQ571Ig1P+VUQUPof0HiYiIlHSiB1f+4F1wHnAAuDfSNWXuM/MDvPavAp4Psdzn/P+faXPdq+qRsBhMpBMsuXss7n/3e9mZHAQRkYCjccSCWzSJDAj3t7OUStXcuq2bTmH1qu4eXPTKBsJi6kzZzK/u5uW1tYJr8linfciDUz5l09+Pq/C7sSvflXvYSIiEhkN1/HlnHvYOfdZ59xG59w9zrkrSBVRPRyvdkStmdlKM9tiZlv27dtXj11WRXq01JM/+EHQoQCpL4gLd+7kjIMHWTo6yuL9+5nb0ZE30VJx8+amUTYSJocvWsSp27Zx1MqVxNvbIRYr2nkv0sjCkH9BY+Rgfj6vwm7rxz+uMhIiIhIZDdfxlYtz7iHgcWC+t+p5Xr6qmOlVGY/7afdcjsdwzl3tnJvnnJs3ffr08oKus4FkkgfOOis1ysu5oMMBwA0Pl3R7YinFzSV6NMpGwmbqzJnM7ehg8f79LB0ZKdp5LxI19c6/vH2GPgcr9HnVKNzQkMpIiIhIZESi4ytDukdnB6n6EdlOAH7vnOvPaHeMmbXmaPcS0FuTKAOw7YILGH3xxaDDGM85RgYHuf/d72bL2WcXvaqo4uaiUTYiIqGk/CvLhM8rs6BDKpnKSIiISFREouPLzOYBxwMPeKtuBf7czN6R0aYdeI/3WNpGIAG8P6NdHPgg8BPn3MEah14XA8kkz9xxR9BhFPTkD35Q9KqiipsLaJSNhIdmmJVmp/yrsPTn1SkPPUTLlCnBBdLSUtHTVUZCREQaXcN1fJnZ98zsMjM7y8wWmNka4MfAk8BXvGa3AvcBG8zsQ2Z2urfOgP+b3pZz7mFSU2lfYWbnmdlCUlNpHwNcUr+jqq3edeuCDqE4b/RXoauKKm4uImGhGWal2Sj/Kl/vunWMvPRSoDG0tLVBLJbKo0ocfaYyEiIi0ugaruOL1DTZZwDfBu4ELgRuAk5yzj0L4JwbBZYAPwW+BvwIGAFOdc49kbW9j3jbugy4HTgCeJdXtyISnvjud4MOwbeRwUHumjUr58gJFTcXkTDQDLPSpJR/FVBoBOieDRtgeDiw2CwW44hzzmHpyAgLd+4sa/SZykiIiEgjMxeSQueNat68eW7Lli1Bh5HX45dfzs6LLgo6jLJYIkEskWB+d/dY7aa9PT08uGwZo0ND475w5morIlILW1etYndnZ8HJNiyR4KiVK5nb0VHHyKRWzOxXzrl5Qcch44UlB8uXm4RJvL2dxfv3A+XFm/l8ERGReqlWDtaII77Ep+2rVzdspxfkHjmh4uYiEjTNMCsiaYVGgIZJ5oitzFzKz6yTKiMhIiKNTh1fEbVv0yZ+e8UVQYdRFdlFVVXcXESCNNzXV9V2ItK4etetYzTEHV5p2RP/pHOphTt30tKaPbnmeCojISIijU4dXxG1/YILgg6hajRyQkTCxM8ICQCLx2sciYgEzc8I0KAVGrE1deZM5nd309LaOuG9zRIJWlpbmd/drYuLIiLS0NTxFUEDySR9O3YEHUZVqaiqiDScEmdOE5HG0wj5SbERWyojISIiUafL0RGzt6eHB846K+gwxsksPA+UVQA2e4i+iEhQnM/Z2cI+CkREKhdvawv1bc1+R2ylb33UhBwiIhJFGvEVIekCq6Mvvhh0KCk5rhhOuKrog4qqikiY+O2Ij0+bVuNIRCRoM5Yv9337cxA0YktEREQdX5HSu24dI4ODQYcBpKa9zld4PrM4/Wm9vSqqKiINxc8XXXXYizSHWWvWEAtpx1e8vV21uURERFDHV6TsuuqqoEMY82fveY+vdiqqKiKNxs8XXXXYizSHdB4Ttpp+6nwXERF5mTq+IuLnJ58Mo6NBhzHmwFNP+W6roqoi0kjUYS8imWKTJ4NzQYcxjjrfRUREXqaOrwh44AMf4Pn77gs6jHH+uHkzA8mk7/aZtz/mu0VSwmEgmWTrqlXc3t7OLbEYt7e3s3XVqpJ+3yKN7vBFizhp40bajjtu3Pq2447jpI0b1WEv0iT2bdrEvQsXBrJvmzRJne8iIiI+qOOrwW278EKevuGGoMPIqXf9+qBDkCrb29PD5jlz2N3ZmZrFyjmG+/rY3dnJ5jlz2NvTE3SIInWxt6eHX77nPfQ//vi49f2PP84v3/Me/S2INIHtq1cH1ukFMGn6dI2WFxER8cFcyIZmN5p58+a5LVu2BLLvIK8y+hFvb2fx/v1BhyFVMpBMsnnOnIITKLS0tnLqtm26yiyRpr+F5mNmv3LOzQs6DhkvyBzs8csvZ+dFFwWy70yn9fbqfUZERCKrWjmYRnw1sHtPPz3oEAoa7u8POgSpot516xgdGirYZnRoSCP9JPL0tyDS3AaSyVB0eoFG14uIiPihjq8Gde/ixTA8HHQYBcXb2oIOQapoz4YNuCJf9t3QEHu6uuoUkUgw9Lcg0tx6160LOoQxep8REREpTh1fDWj76tXsu+OOoMMoSNNoR4/fEXwa6SdRp78FkeY1kEyy6+tfDzqMMXqfERERKU4dXw1m36ZN/PaKK4IOoyhNox09fkfwaaSfRJ3+FkSa096eHu469tigwxhH7zMiIiLFqeOrwYS9rpem0Y6uGcuXT5g2PZtG+kkz0N+CSPMZSCa5f8kSqOGkUIcvWUJLa2vR95c0vc+IiIj4o46vBvL45ZcHXtfL4nH+fPny1NTZZlgigU2aBGaaRjviZq1ZQ6xIMq6RftIM9Lcg0nweeP/7YXS0pvs48YorOHXbNo5auZIWHyO59D4jIiLiTzzoAMSfUMwg1NLCUR/7GHM7OoKNQwIxdeZM5nd38+CyZYwODY0r7m2JBLFEQiP9pCnob0GkuWxfvZo/PfxwzfeTfs+Y29HB3I4O9vb06H1GRESkCjTiq0HcNWtW0CEA8Lqzzgo6BAnQ4YsWjV2Njre3QyymkX7SlPS3INIcHr/88sBqqx6+aBEnbdxI2/HHj1vfdvzxnLRxo95nREREfDJXw1oFzWDevHluy5YtNd3H7a9+NcPPPVfTffjS0kLL5MnM7+5WsiUiIk3DzH7lnJsXdBwyXq1zsIFksm4XHqfNns2C7dvHrfMz4kv5mIiIRFm1cjCN+Aq5Bz74wXB0egGMjDAyOMiDy5YxkEwGHY2IiIhIzey8+OK67evEK68c9/NAMsmDy5YxMjg4rtMLwA0NKR8TEREpgTq+QmwgmeTp668POowJRoeG6F2/PugwRERERGrmye9/vy77OX7tWqYvWDBuXe+6dYxmdXhlUz4mIiLijzq+QuyRz3wm6BByckND7OnqCjoMERERkYYVf8UrOPnuu3lDjpFlezZsmDDSK5vyMREREX80q2OI/eHWW+u2r3S9iJEDB8BH3bfh/v46RCUiIiJSf7eY1XT7NmkSp/zqV3lnZfSbZykfExERKU4jvkLq9sMOq9u+Mmcii7e1+XuOz3YiIiIijeSJDRtqun1LJDjp5pvzdnqB/zxL+ZiIiEhx6vgKqeF9++qzIzMW79/P3I4Ops6cyYzly7FEovBTEglmrFhRn/hERERE6uihGuc4C3fuLDobo/IxERGR6lHHVwjVenh9pvi0aeN+nrVmDbEiiVYskWDW6tW1DEtERESk7m6ZNKmm24+3txcc6ZWmfExERKR61PHVxHJdKZw6cybzu7tpaW2dcKXREglaWluZ393tK2kTERERaShFCspXyu8ILeVjIiIi1aOOr5Cp52ivfFcKD1+0iFO3beOolSuJt7dDLDauDlix4fkiIiIijaYeOVgpI7SUj4mIiFSHZnUMkYFksi77Sc/gWOhK4dSZM5nb0cHcjo66xCQiIiISZYcvWVLyCC3lYyIiIpVTx1eI3DVrVs33EW9vZ8aKFcxavVrD40VERESo/Wiv2JQpnHjFFTXdh4iIiOSmjq8mcfzatbzh4ouDDkNERESkqagel4iISLBU4wswsyPMrNvM9pvZn8zsJjM7sp4x1PJK4//q6lKnl4iIiIRKGPIvqG0ONm32bNXjEhERCVjTj/gys1ZgE3AQOAdwwGXAZjOb45wbCDK+SsSmTOHNN96oZEtERERCJcr5V1pLaysn3XyzRnqJiIgErOk7voDzgdcDxzvnegHMbBvwP8DHgC8HGFvZDl+yhBOvuELJloiIiIRRJPMvAOJxWiZN0u2NIiIiIaFbHeEM4P500gXgnPsd8AtgaWBRlSHe3s7Rn/wkp/X28paNG5VsiYiISFhFIv86+e67OfqTnyTe3g6xWCoX+9jHdHujiIhIiGjEF7wJuCXH+h3A++scS9lO6+1VR5eIiIg0iobPv/7iW99i+oIFTF+wgLkdHUGHIyIiInloxBe8Cng+x/rngFfmeoKZrTSzLWa2Zd++fTUNzo83fvGL6vQSERGRRlJy/gXhycHe+MUvctS55wa2fxEREfFPHV9lcM5d7Zyb55ybN3369EBjef2FF3LcP/9zoDGIiIiI1EMYcrA3fuELyr1EREQaiG51TF1tzHVlMd+VyFCIv+IVvPmmm5i+YEHQoYiIiIiUqiHzr5mf/SzHXXRR0GGIiIhICdTxlaol8aYc608AflPnWHz5szPP5KSbbgo6DBEREZFyNVz+BTD7S18KOgQREREpkW51hFuBt5jZ69MrzOxo4K+8x+piqXO+2r3xC19Qp5eIiIg0ulDkX+A/B/PbTkRERMJFHV/wTWAXcIuZLTWzM0jNMvQEcFU9AymWUJ3W26vh9SIiIhIFocm/oHgOpk4vERGRxtX0tzo65wbMbAGwHugCDLgbuNA511/veJRYiYiISNSFLf8C5WAiIiJR1fQdXwDOud8D7ws6DhEREZFmofxLRERE6kG3OoqIiIiIiIiISCSp40tERERERERERCJJHV8iIiIiIiIiIhJJ6vgSEREREREREZFIUseXiIiIiIiIiIhEkjq+REREREREREQkktTxJSIiIiIiIiIikaSOLxERERERERERiSR1fImIiIiIiIiISCSZcy7oGBqame0Ddtdo868Bnq3RtsOqGY8ZdNzNpBmPGZrzuJvxmCGax32Uc2560EHIeMrBQknnrTw6b+XTuSuPzlv5dO7KU+55q0oOpo6vEDOzLc65eUHHUU/NeMyg4w46jnpqxmOG5jzuZjxmaN7jlmjR67g8Om/l0Xkrn85deXTeyqdzV56gz5tudRQRERERERERkUhSx5eIiIiIiIiIiESSOr7C7eqgAwhAMx4z6LibSTMeMzTncTfjMUPzHrdEi17H5dF5K4/OW/l07sqj81Y+nbvyBHreVONLREREREREREQiSSO+REREREREREQkktTxJSIiIiIiIiIikaSOr5AxsyPMrNvM9pvZn8zsJjM7Mui4MpnZDDP7qpndZ2aDZubM7Ogc7Q4xsy+Z2dNmdsBr//Yc7WJmdpGZ7TKzF81sq5m9L8++zzezR83soJk9ZmYfz9PuvWb2sLe93Wb2OTNrqeCYl5nZjd62Dnj7/qKZTctq90oz6zSzZ81swMzuMrMTw3RuSjzu081sk5n9wdvuHjO73sxOyGrn63Ub5PmphJn92HudXxaW46n279vMTvGOMXt5IarHnLHdd5vZz82s33v9bjGzBVE9ZjP7WZ7ftTOzH0f1uEWKsQbIwWrBGiDHaRQWwnwhzML8+RtWZvZXZvYTM3vGzPrM7CEzOzerTVN/LlsTfletBj/nzczmmdnV3jEOmtnvzex7ZnZMju2F67w557SEZAFagf8BHgHeCywFtgNJYGrQ8WXEeQqwF7gDuBNwwNE52n0PeAE4H1gI3AQcAP4iq92/AweBzwKnAlcBo8C7s9qd763/d6/dZd7Pn8hqdzowQqqA3qnAZ4AXgf+o4JjvB64HzgbeAVzoHdv9QMxrY8D/A/YAfwu8C7gHeBaYEYZzU8Zx/y3wJWCZd9wrgB3An4CjSnndBnl+qnAOnvZe55eF4Xhq8fsm9XftgE8Bb8lY5kX1mL3tfgwYAtYDf0Pq/eOfgCURPuYTsn7HbwFWe7//VVE9bi1aCi00SA5Wo2MPdY7TKAshzBfCvBDiz9+wLsAc77g2e+9Rf+Mdg8v8jKz2+aDBPpdpwu+q9TpvwH8CvwBWkfq8+DtgJ/BH4Igwn7fAX5haxv0yP+39MmdlrDsGGAY+E3R8GTHFMv5/Xp4/irne+o9krIsDjwG3Zqw7zPuDWJv1/LuBbVnPfQa4NqvdNaQ+ABMZ6x4G7slqdzHwEvBnZR7z9Bzr/t47xgXez0u9n0/NaPMK4DngK2E4N1X6/R/vxb+mlNdtUOenwmN9JfAHUglXdiIbqd83L3d8nVagTdSO+WhSCc6FzXLMBY7zW15cr2qm49aiJb3QIDlYjY49tDlOoyyEMF8I80KIP3/DvABfIPV9pi1r/X3AfbU4H434uUwTflet43nL9XlxFKmOqkvDfN4Cf2FqmfBC+EWO9fdk/5LDshT4o/hX70XYmrV+rfdHMNn7eYX3/GOz2n3EW3+M9/Nfez//TVa7U8n4UASO8H4+P6vdMdlvblU49jd621zh/fwt4Mkc7a4Fdgd9bqp43K/xtvvpUl63QZ2fCo/1auAu7//ZiWykft/46/iK2jFfCgwAhzTLMec5xlZSozi7m+m4tWjJXGjAHKzG5yMUOU6jLIQwXwjzEubP3zAvpEbbDAAtWet/DPyyFuej0T+XaeLvqrU4bwXa7wW+lfFz6M6banyFy5tIDbHPtoPUrSmN5E3A75xzg1nrdwCTgFkZ7Q4CvTnawcvH/Sbv3+zz46udc+53wCDVPY/v8P7dmbHvfL+/I82sLaNdEOembGbWYmaTzOxYUsNU/wD8IGP/fl63QZ2fspjZ20hd8f5kniZR/X1/z8xGzOyPZvZ9G1/fJmrH/DbgUeBDZpY0s2Ez6zWzzN951I45lzOBaaS+TKQ1w3GLZIpSDlYNYclxQi/E+UKYhfnzN8y+4/37FTN7nZkdambp2/TWe4/pc9mfZviuWhdm9kZSI7x2ZqwO3XlTx1e4vAp4Psf650gNoW4khY4l/Xj63xec12VbpB05tum3XXrdq3KsL5mZ/Tmpq1V3Oee2ZOy70DG/0me7Wp2bSvyS1JvX46TqCyxwzj2TsX0/r9ugzk/JzGwSqQ6+/3TOPZanWdR+3/uBdaSu8CwA/g04DbjPzA7L2HaUjvl1wLGk6thdDrwT+CnQYWafzth2lI45l78nNcy8J2NdMxy3SKYo5WAVCVmOE2ohzxfCLMyfv6HlnHuE1Aj9pcCTpI77v4CPO+d+6DXT57I/kf6uWi9mFge+AewjNUozLXTnLV6sgYiM511huoVU3Y+PBBxOvawA2oHXkypQ+FMze5tzblegUdXO/wamkCqy2BSccw+Tunc+7R4z+znwAHAB8LlAAqutGKmRTh92zt3krdvkzWBzkZl9JajA6sXMXkeqg/NK59xw0PGISLCaNMepRNPlC1XS9J+/5fDuvLiR1GiYj5Oqk7YU+IaZveic+16Q8UlT6gBOBhY753J1SoWGRnyFy/PkvqqYr0c6zAodC7zci/s8cKiZmY925Nim33bpdc/lWO+bmU0BNpLqADrdObcn4+Fix/y8z3a1Ojdlc87tdM790jn3A1LDqduAf87Yv5/XbVDnpyTerX3/Qure/8neMPJDvYfTP7f4iLNhf99pzrmHSI3ym5+x7ygd8x+9f3+atf4nwOHAa4neMWdbTioXuDZrfdSPWyRblHKwsoQ0xwmtBsgXwizMn79h9gVSM2Eucc7d5py72zl3AalZWa80sxj6XPYrkt9V68nMLgdWAuc6536S9XDozps6vsJlBy/fv5rpBOA3dY6lUjuAY8ysNWv9CaQKCfZmtJsMzMzRDl4+7vR9vtnnx1c77wpSKxWcRzNLAN3APFLTsG7PalLo9/d751x/Rrsgzk1VOOde8GJM3/vu93Ub1Pkp1euBQ4ANpN5k0wukRrs9D5xIk/y+PelhylE75h1FHh8lesec7Rxgq3Nua9b6qB+3SLYo5WAlC3GOE2ZhzxfCLMyfv2F2IqnP7KGs9Q8AryZVZ0mfy/5E7rtqPZnZvwD/BFzgnOvK0SR8581PlX4tdZs94UJSQ8tfn7HuaFI9+2uCji9PzPlmyvj/vPXnZKyLkyp6tzFj3WGk3lwuyXr+XcD2jJ8TpO4d/nZWu05SV40mZaz7NbA5q93nqGCKWFKdxNeTGlK8ME+b93rH/I6Mde1efF8Nw7mp0u/8cKAfuKqU121Q56eM4zuUVP2E7MUBXd7/25rh903qC9AI3vTEUTtmYLEX57Ks9XcCT0TxmHP8fh2wOsdjkT1uLVpyLTRgDlbFYw9tjhPmhZDnC2FeCPHnb5gX4GfAb7M/C4Hve3+/k6p9Pmjwz2Wa5Ltqvc6b99gF3mP/p8DzQ3feAj+pWsb94qaS6l3eTup+7TOArd4bXFvQ8WXFusxbvu698D/h/fyOjDY/JHW16zxSt8d1Ay8C/ytrW5d76z9DKkn4OqkrPUuy2n3cW3+Z1+5S7+dPZrV7t7f+Kq/dam/7X6rgeNPHeRnwlqxlhtcmBtwLBa9rsgAADu9JREFUPAF8CDid1AfUc8ARWdsL5NyUcdw/IjWEfympaWU/RmoWnheA40p53QZ5fqr0mneMn548Ur9v4Hve9s4iVdx+DfAs8HvgNRE9ZgM2kfpg/Tip4rrf9H7XH47iMWdt/yukvtQfluOxyB63Fi25FhooB6vBsYc6x2m0hRDlC2FdCPnnb1gXUt+1HKkOwqXeeevw1n25VueDBvxcpsm+q9brvHl/i6OkJkTK/rw4IcznLfAXpZYJL7YjSRUt/BPQB9xMjp7WoBfvDyHX8rOMNlOALwN/8F6UvwROybGtFlK9tbtJzRy4jawrQBltP0aq5tBB4H+AVXnanUUqYT1I6ov7xUBLBce7q8Axfz6j3auAa0h9KA8CdwNzc2wvsHNT4nH/E/ArUh1dg8Bj3pvN0VntfL1ugzw/VXrNXxaW46n27xu4yNvfflKdIU8AVwOvjeoxe9tsJzUj0l5SV4y2AX8X5WP2tpu+wraxQJvIHbcWLYUWGiQHq8Fx7yLkOU4jLYQsXwjrEvbP37AuwCJSHYD7vPepXwOryPieo8/l5vuuWq/zBnzHz7kN43kzbwMiIiIiIiIiIiKRouL2IiIiIiIiIiISSer4EhERERERERGRSFLHl4iIiIiIiIiIRJI6vkREREREREREJJLU8SUiIiIiIiIiIpGkji8REREREREREYkkdXyJiIiIiIiIiEgkqeNLREREREREREQiSR1fIiIiIiIiIiISSer4EhERERERERGRSFLHl4iIiIiIiIiIRJI6vkREREREREREJJLU8SUSEDP7sJm5jGXAzHaZ2Y/M7ANmZkHHGDbeOTvXZ9tTvPN6So3D8hvL580slrX+aC/G8yrYdszMfm1mn6080uqpxrHl2d6HS3jOe81sr5m1VSMGERFpHsrTSqc8Lee2Q5mnpSm/kmahji+R4L0feCvwbuBfgYPAD4CfmtmUIAMLoQ8DvhKqkDkFuITavOcuB14LfK0G2250twBPA/8YdCAiItKwlKf592GUp2WLYp6m/Eoajjq+RIL3a+fc/c65e5xzXc65DwEfABYA/zfg2CT8Pgt81zk3GHQgYeOcc8DVwD+Y2SFBxyMiIg1JeZpUIvA8zcwmV3N7yq+kEanjSySEnHM3krqacr6ZtabXm9lrzey7ZvasmR00s21mtjz7+WZ2jJl1mdkfvHa/NbMrMx7/mZn9LMfzdpnZdzJ+Tg/zP9nMrjezPm9o80Xe4+8ys4e94f8Pmtlf5tjmWWZ2v5kNmtkLZnaDmR2ZY78bzOxDZrbT294WM3tbZszAO4C/yrjtYMIxFFOteDLaXui1f9HMHvDO1dh5NLPPk7qKCDCUjj1rMy1mdqmZPe3FtNHMZvg4lpOAE4HvZ60/zrsV4xkvrt97xxk3sz8zs5fM7NM5tvd577y80vv5Z2b2/7zf86/N7ID3+z7J29YXvJifM7PvmNnUHGFOMrMve7EMmtltZnZ01n4TZnaZd95e8v69zMwSRY5/vpn91Mz+6MX2WzPLvqJ6PXAocFax8ykiIuKH8jTlaeXmaWb2l94+Ms/dp7x1l2WsO9Zbtzhj3ZvN7C4z6/eO+W4ze3PWPr9jZnvM7K1mdq+ZHcDroDWzVjP7mpc39ZvZrcCE41B+JVGkji+R8LoDmAzMA/A6Fe4BFgH/B3gvsB3oMrOV6SeZ2THAA8DbgYuBdwFrgddUEMu13r7OBG4GvmBm/wF8CfgP4IPAVOBmM5uUEcvHgRuB3wDLgI8Bs4F7zGxa1j7+GlhD6jaCDwItwG1mdqj3+CrgYWAbqVsO3uqt863K8WCpmg/rgbuApcB3SCU3h2ZspxP4lvf/t2XEnukiYBap2wM+7T2+wcchvQvoA7Zmrb8d+HPgE8DpwD+TujUj5pz7A6nf4crMJ5hZC/BR4Hrn3PMZD80i9Xu+nNTtHpOBW4Gvkxq6/2HgUuBsXk4cs4/tWOAjwCeBvwR+YuM7ta71YvwusITUefwnb31OlqorcScw4sWwyIsjntnOOfcssJPUuRIREakW5WnK04rJlac9DLxAasRg2gLgQI51w8DPvWOZQ+r19UpSec/fA+2kzs3crP2+AvghqVtyF/Fyx9tVwHnAl0l1WD3GxIunyq8kmpxzWrRoCWAh9WHigFl5Hj/de/yD3s//4P18Sla7u4BngBbv5+8C/cDr/v/27j1Gq6OM4/j30Y1Rg8aWXmi7VSDVRsVeEqK9CJTEmgYRjdRoaCV4aYjVGLU0aVQUvFFN/MM/KiViQ3rFSogYUqJWdqHcVFppQQpUC5YWxRYQiELL5fGPZ053dvbd3Xd3X8ruy++TnJw98845Z97zHjhPZubM9HDudqC9RvouYFGNMn47S2tJ5zsGjMrSp6S8E9L2MOAgcE9xjlHAK8BXi/MeAM7K0sam400ryr2mzut7XX69Gl0eouFgN/BIcbxPpHz5dZyT0lqKvCNTenuRPiuld/sbpnwrgLVF2jlp3yl1XJtxNX6/q4rrfQwYXSPfo8UxlwI7a3y3rUSFW5V+bUr/fNoek7bnFMf7Vkq/rDjejOL3uKyOe+E+YEej/u1q0aJFi5bmX1CcpjjtFMRpKX0Z0JaVcz/wk/SbDUvpi4EN2T5LiAqzt2Vpb037Ls3SFqWyfaw456VEZdYdRfp8FF9pOQMW9fgSGbyq2YKq7tbjgRfcvb3Idz9wLvCetP1hYLm772lgWVZUf7j7ceBvxINuZ5ZnW1pfnNZXEw/kByxei2sxsxYiCNmWvk9uvXfuabQ5rd9OYzS6PK1p+VWx3zKiha4vHim26/3uFwIvFmn7gGeBO83sFjN7Z7lTuoe2Ei2plZnAU+6+oci+w92fzbar3/m3Rb5tQKtZl1mulrj7yezca4Hn6WhNra572XJabU8oy588QwSAC8zsZjO7uJt8ENfowh4+FxER6SvFaUFxWvdqxWkAK4GrLcbHuoLogfZjonf+uJRnItCW7TOeuG/+UyW4+yGiF34ZKx0DlhdpHyAq2R4u0hcX24qvpCmp4ktk8KoeNP9M67Ozv3P/yj4HGE5ULDTSgWL7lW7SAKpBLs9L60eJB3C+vC+VM7c/33D3l4vjDVSjy3NBWv+7yHcCeKmPZdtfbNf73d+Y5a3O78D1wEZgHrAjjc3wxWLf+cCNZjbczN5BdFW/u8Y5uvuda6W3EK8a5PbWOOZe4lVM6Lhvy3u7vK87cfeDRFC4h5gp6Tkz22JmU2tkP0Lj7iMRERFQnKY4rR9xWtJGvCZ7DRHLPOnue4E1wEQzey9xPVZm+/R0f51VpL2Yvmeuuh5lXNZpW/GVNKuW3rOIyGnyEeAo8Hja3k90Uy6NyD6HeJhfVCNf7ijRqlaqWcnQT/vSegbw1xqfH27guerR6PJUwcd5eWIaK2sg43T0xT66BjukHlrTU++ry4nXL35mZrvcvWoVvpeoGJuRjvE/4IFTUMbzu0nblP6u7tsRwN+zPOV93YW7bwKmphbhscQYHA+b2eXuviXLejYdv7+IiEgjKE5rrDMmTiN6jL1EjON1JR0VXCuJGUN3ExWVa7N99tNxL+VG0LWSsxycHzqux/nEmwFk2513VnwlTUg9vkQGodSqMgW42zumP15FvEp2bZF9GtGatTVt/w6YbGYX0L1/AO8qBjgdD5QDhw7EOiJIucTdN9ZYtvfjmC8Dbxok5Xk+LZ8s0j9O10aFqrWvv2XvzjZgdHcfetgEfD0ljck+O0RUdM0kBmt9KKU12o1m9uqzJt2/rcD6lLQ6rT9d7HdTWrf3dgJ3P55e0ZxNPNfeXWQZRQzgKiIiMmCK07qlOK2zmnFa6p3fTvTQH0fniq8riUkK/pTdWxD316R8kP/090epI1YC/gicJCrWcmX8lZdT8ZU0DfX4Ejn9rjCzc4A3EGMFTCYe0r8nWlgqi4iZZJaa2TeJh/lNxENzZtal+TvAJGCdmf2QGOfhIuAGd6+m1F5MzOp3j8V0zqOIypGDjfpS7n7IzG4H7jKzc4nxJw6mskwgBgp9sKdj1LAVuNXMPkX0DjpcbyDU6PK4+0kzmwv83MwWEmNIjCZmJzxIBBd5uQFuM7MVwAl331jvuXqwGvismQ13933w6qw/PwV+Sfz2rydaT4/Tucs8RBf2apyvWq85NsJbiFmkFhBjnMwjxo+4F8Ddt5jZQ8Cc1LK4jhjnYzZRGbe51kHNbDJxD/8a2EnMVvUVImhen+Uz4P3EdxUREekrxWn1U5zWWZc4LdMG3EUMOP9YSvsLEcdMJGZSzH2PuPf+kGbsdGIG7DfXyNuFu283sweB76YGyT8T481NyvMpvpJmpYovkdOvGnTzKNEi+ATR+rIktQgB4O7/NbMJxOCXdxIVCtuBz7j7/Vm+XWZ2FfB9opJhGPACMZhnlactTRk9C5hKPGhvJqaQbhh3X2Bmu4HbiRbPllSWx+h41a0vfkS8RrCQ+F6riFmBTkt53H1hmvb5a8T125LWv6FzcLqcCAxuJaYuNzoGxR2IZcR9M5mYyhxirIfniAC5NX2+GZjs7o/nO7v7U2a2Azjk7k80oDy1zCOmAF9EBE9twJfd/ViWZwbR7f5zxGyOe4jfem4Px32GGFtiNjFuxWEiiLve3fOxU64hXjMoB28VERGph+K0+ilO66xWnFapBq7fWPW4d/cTZraK6E2YD2xfxWzXAT9IxzJgAzFL55N1lmcmMaPoLKIidyVxnddkeRRfSVOy7P9rEREZIDMbSwQI0939vtfgfIuAVnf/UD/2vRR4GrjF3X/R6LINBmY2Hxjj7uN6zSwiIiJNbSjFaYOZ4isZalTxJSLST2Y2CvgS0RJ5iBj74BvEgKRjirEZTmUZngY+WG+3fDNrJXphzU3rS9z9yKkr5elhZiOInmQ3uPvq3vKLiIhI8xiqcdpgp/hKhiK96igi0n9HiAHjpxPdvQ8Q03Df8VoEUwDuvtPMZlDMWtSLLxBd+XcA05qx0isZCdymoExEROSMNFTjtMFuJIqvZIhRjy8REREREREREWlKr+s9i4iIiIiIiIiIyNCjii8REREREREREWlKqvgSEREREREREZGmpIovERERERERERFpSqr4EhERERERERGRpvR/uxt5FrVM0MEAAAAASUVORK5CYII=\n", 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    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_statistics(train_dataset.data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at the test part of the dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_statistics(test_dataset.data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "One document from test dataset has a lot of unique tokens inside..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2015" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "interesting_document_index = np.argmax([len(set(t.split())) for t in test_dataset.data])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "interesting_document_index" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "5103" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(set(test_dataset.data[interesting_document_index].split()))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "From: dbushong@wang.com (Dave Bushong)\n", + "Subject: Re: More Cool BMP files??\n", + "Organization: Wang Labs, Lowell MA, USA\n", + "Distribution: usa\n", + "Lines: 2603\n", + "\n", + "adair@atldbs.dbsoftware.com (Owen Adair) writes:\n", + "\n", + ">In article <1993Apr20.173506.2288@dlss2> james@dlss2 (James Cummings) writes:\n", + ">>Newsgroups: comp.os.ms-windows.misc\n", + ">>Path: atldbs!uupsi!psinntp!uunet!gatech!howland.reston.ans.net!bogus.sura.net!darwin.sura.net!convex!seas.smu.edu!void!dalnet!dlss2!james\n", + ">>From: james@dlss2 (James Cummings)\n", + ">>Subject: Re: More Cool BMP files??\n", + ">>Message-ID: <1993Apr20.173506.2288@dlss2>\n", + ">>Organization: RedRock Development\n", + ">>References: <1993Apr17.023017.17301@gmuvax2.gmu.edu>\n", + ">>Distribution: usa\n", + ">>Date: Tue, 20 Apr 1993 17:35:06 GMT\n", + ">>Lines: 1021\n", + ">>In article <1993Apr17.023017.17301@gmuvax2.gmu.edu> rwang@gmuvax2.gmu.edu (John Wang) writes:\n", + ">> |Hi, everybody:\n", + ">> | I guess my subject has said it all. It is getting boring\n", + ">> |looking at those same old bmp files that came with Windows. So,\n", + ">> |I am wondering if there is any body has some beautiful bmp file\n", + ">> |I can share. Or maybe somebody can tell me some ftp site for\n", + ">> |some bmp files, like some scenery files, some animals files,\n", + ">> |etc.... I used to have some, unfortunately i delete them all.\n", + ">> |\n", + ">> |Anyway could me give me some help, please???\n", + ">> |\n", + ">>\n", + ">>\tIn response to a \"different\" kinda wallpaper, here's what I\n", + ">>use. I think the original gif/whatever was called \"not_real\". The \n", + ">>artist name and logo is in the lower right corner. You will need VGA\n", + ">>I think, and I have this sized for 800x600 256 color screens. Use\n", + ">>this in your Windows directory and do not tile it. Hope you enjoy.\n", + ">>\n", + ">>\n", + "\n", + "Try this one on for size. I'd rather not post her name, but if you\n", + "email me, I'll tell you who she is. Enjoy!\n", + "\n", + "begin 640 big1.zip\n", + "M4$L#!!0 ( ,!V?AKDL':76L$! +8[ P ( 0E545\"Y\"35\"L?%]H&W>^\n", + "M[YQ[6TBA#^5P!'K8A\\#HH6 ]I&%G8J$5=[BH:(;X@CP[#WT8C(578JPLP\\I8\n", + "MID93B-D>8HN%#;D]KH,=&D,3\"LE\"T0F+P^[AIJ0L1:E-+]XN)BI8M'I(((9Z\n", + "M\\_G\\_V.G+3G7N[A><7(GGG%R./[]3-O&*^\\\\8KQQAM\\\n", + "M_(;Q^NM9XY4L'F<-/,X:6=R_D3V#^S-&'OM?S[YAY%X_:[R>P^NQ??;L&>/,\n", + "MV7_\"-EY[]@VC_$]9XQSV9<]F\\1RWLT8U>];(YLX:;[X^9;R)^_PY?-:;>'WN\n", + "M3>.-<_]D_!3[WCG[$SSWIG$9K_TI[M_,_=3XR;F<43X[:?ST'-XSB<\\Z]Z8Q\n", + "MB>_S;UO!-6?&K_ =N\"Z\n", + "MQJ^JYXRIJFLLYJX:5[']\"VP'[_\"Y63R'_>=6\\=Q-XUULOSMYV=@YNX&?S\\^8\n", + "M-5;/_<;(S09XW:QQ]=P'QN5JB-?-XG57\\1FS1H#GHLDM8S5_U[@\\N6$DT<^,\n", + "M3_B:R9MX?--8G'W'F K>-]['_>7)NT;RRRI>\\XZ1S$;&N]A_=?*>L>I\\8MS\\\n", + "ME8O[3_%<9+Q3_00_9\\NX^DO\\S.B7QB>\\=S_%S[UK;.#^+O9==7>PO8/7W3.\"\n", + "MU7>,U?\"FL1->-=QWWS>2U5\\8'[S_2V,JV3!NXO[=R_@YLW\\T=I)WC0W+R4T\\7C4>7+Z,]]PS/GW_,O:O&I_^YEULXW>3?&K\\$=N?\n", + "M8WOGZF5CX_V/C2]P?W/C,I[[PO@<]P\\V5HU[&U=Q?]7X_9NU\\:O_CX&^/+>QO&-]SWZWS.^P7?P^3?&\n", + "M[!^?&0^.+@P?&N[C_\n", + "MU5Z'PV^,9\\^>\n", + "M&,-GWQM??O\\]MO']Y&_&D^__9GR/[V=_^YOQ][__W2@72I;O KU.J>2X[HQG\n", + "M6=E\\)IOQG%+1L4L_DJ/*Y6\n", + "M*X$=!%'0B*J-1A5OK[:K[0BW#;PEB@(;7W;#GN:[@JJ-3PT\"Q[,M_(LS9C:'\n", + "M?Y;C>+X?U\\/8CT->DC#!/R\\,ZR'^J4D8NPG^Q7[=C5UYA1_CS@]C+Z[CZB9X\n", + "M5>)A5QRW$ESP_B1I)0M)LM#M+G23[CJVNWBJ&^,6[XSK]3#AV_CV&3Z,9^)X\n", + "M!A_GXR/'Q_+Y?GSY\\?/<7^PLQIW.IWUERP_\\OG)\\; _V]_>W>[WM@5SV\n", + "M^;C7N[J%2X\\7W&WU\\/P^;G#%A3OO7-NZ#>18GNM[ )!;\\ES'\\\\I.+N.:%N!2\n", + "M]DTK@T-BRO/EG.^62E;!=') 4,ZT3,=T \"??]X$=O^XXEN,Y5M!H1NUV$U^+\n", + "M1 ^P T#@4 < #@Y\\9!,Q J&@49T&8(\" 1MTO8X1-E@LHZ7KJT^?CI&#W')[P?/-H6\n", + "MR'0[ZP2.7-;E)DH?M:)6B[< 5+<38?=\\C7#JM-97.Q^LKT1 \"-'2PI, $Z\"T\n", + "M$O&#NO$'1% G[G9O;?[N]U\\_5?2<*'J(C6T : 3@ #$ D<)G-.#^'E$C+^BE\n", + "MX\"%^\\'4-U^W>'3Y?!FB$.7#K>FX9VRYH)U>\\@/MRN6!:CBG[O#* XI:<0JE4\n", + "M*$R42J5,)J\\'\"^#QA7UPR7N-J$'T1,O-Y;:2#R!4\"0 @\\D4C:!(\\U3E0#C 4\n", + "M-1I@($*&F,)KHD8U:@(L;6*%#!8MM[G5;+87\"4GLQQZREX#25B1YMI,! 65S\n", + "MF?.9[%M$-(Z@0H,8 D[\\>\"KQ9W&P$S)\"\"\\]@UTQ( N++@!>\\'O=+0!80%@MM\n", + "M$2-D'D%-%[33[0B0N@*A5K(.B D#\\<9-0'\" #:%9!P_Y,_@@)R8E$:]\"/#/Q\n", + "MVT!VG>QS+ \">@1!!SLK@AV )>H(A-8[/[KP.:!G/L53'(&8^-U9V>QTHVZG\n", + "MU@5>P#Z=&#>;Z]W.?!R1B%;6A7[B[N;F+26?$Y#/\\6!GNS<@,(\"4?0)& 3>\n", + "M(1/MXQG!%B\"UM2VLH]RC, (=W;ZV=0W\\T[OV42'/8U\\\"CY0<'QL^-UP7-R5\"\n", + "MHV@60420*;<.B#E6$=@I@*M /U8^D[>+/\\W&U3\"_O0'. 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    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Texts need to be prepared before training models.\n", + "Below is a function which removes all symbols except letters from texts, splits text on single tokens and also removes stopwords.\n", + "It also lemmatizes all words, i.e. replaces all words with their base forms.\n", + "In the end, it combines the remaining words together to form a piece of text." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def preprocess_texts(texts):\n", + " preprocessed_texts = list()\n", + " \n", + " for text in texts:\n", + " text = text.lower()\n", + " \n", + " text = re.sub('[^\\\\w\\\\s]', ' ', text)\n", + " text = re.sub('\\\\d+', ' ', text)\n", + " text = re.sub('\\\\s+', ' ', text)\n", + " \n", + " words = text.split()\n", + " \n", + " words = [w for w in words if w not in ENGLISH_STOPWORDS]\n", + " words = [ENGLISH_LEMMATIZER.lemmatize(w) for w in words]\n", + " \n", + " text = ' '.join(words)\n", + " \n", + " preprocessed_texts.append(text)\n", + " \n", + " return preprocessed_texts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 7.23 s, sys: 310 ms, total: 7.54 s\n", + "Wall time: 6.71 s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "preprocessed_train_texts = preprocess_texts(train_dataset.data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's compare an original piece of text, its reduced version (without meta information) and its preprocessed version" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "From: lerxst@wam.umd.edu (where's my thing)\n", + "Subject: WHAT car is this!?\n", + "Nntp-Posting-Host: rac3.wam.umd.edu\n", + "Organization: University of Maryland, College Park\n", + "Lines: 15\n", + "\n", + " I was wondering if anyone out there could enlighten me on this car I saw\n", + "the other day. It was a 2-door sports car, looked to be from the late 60s/\n", + "early 70s. It was called a Bricklin. The doors were really small. In addition,\n", + "the front bumper was separate from the rest of the body. This is \n", + "all I know. If anyone can tellme a model name, engine specs, years\n", + "of production, where this car is made, history, or whatever info you\n", + "have on this funky looking car, please e-mail.\n", + "\n", + "Thanks,\n", + "- IL\n", + " ---- brought to you by your neighborhood Lerxst ----\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "************\n", + "\n", + "I was wondering if anyone out there could enlighten me on this car I saw\n", + "the other day. It was a 2-door sports car, looked to be from the late 60s/\n", + "early 70s. It was called a Bricklin. The doors were really small. In addition,\n", + "the front bumper was separate from the rest of the body. This is \n", + "all I know. If anyone can tellme a model name, engine specs, years\n", + "of production, where this car is made, history, or whatever info you\n", + "have on this funky looking car, please e-mail.\n", + "\n", + "************\n", + "\n", + "wondering anyone could enlighten car saw day door sport car looked late early called bricklin door really small addition front bumper separate rest body know anyone tellme model name engine spec year production car made history whatever info funky looking car please e mail\n" + ] + } + ], + "source": [ + "print(full_train_dataset.data[0])\n", + "\n", + "print('\\n' + '*' * 12 + '\\n')\n", + "\n", + "print(train_dataset.data[0])\n", + "\n", + "print('\\n' + '*' * 12 + '\\n')\n", + "\n", + "print(preprocessed_train_texts[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Text size decreased sharply!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 3.27 s, sys: 65.1 ms, total: 3.34 s\n", + "Wall time: 2.96 s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "preprocessed_test_texts = preprocess_texts(test_dataset.data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And same thing for one document from test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "From: v064mb9k@ubvmsd.cc.buffalo.edu (NEIL B. GANDLER)\n", + "Subject: Need info on 88-89 Bonneville\n", + "Organization: University at Buffalo\n", + "Lines: 10\n", + "News-Software: VAX/VMS VNEWS 1.41\n", + "Nntp-Posting-Host: ubvmsd.cc.buffalo.edu\n", + "\n", + "\n", + " I am a little confused on all of the models of the 88-89 bonnevilles.\n", + "I have heard of the LE SE LSE SSE SSEI. Could someone tell me the\n", + "differences are far as features or performance. I am also curious to\n", + "know what the book value is for prefereably the 89 model. And how much\n", + "less than book value can you usually get them for. In other words how\n", + "much are they in demand this time of year. I have heard that the mid-spring\n", + "early summer is the best time to buy.\n", + "\n", + "\t\t\tNeil Gandler\n", + "\n", + "\n", + "************\n", + "\n", + "I am a little confused on all of the models of the 88-89 bonnevilles.\n", + "I have heard of the LE SE LSE SSE SSEI. Could someone tell me the\n", + "differences are far as features or performance. I am also curious to\n", + "know what the book value is for prefereably the 89 model. And how much\n", + "less than book value can you usually get them for. In other words how\n", + "much are they in demand this time of year. I have heard that the mid-spring\n", + "early summer is the best time to buy.\n", + "\n", + "************\n", + "\n", + "little confused model bonnevilles heard le se lse sse ssei could someone tell difference far feature performance also curious know book value prefereably model much le book value usually get word much demand time year heard mid spring early summer best time buy\n" + ] + } + ], + "source": [ + "print(full_test_dataset.data[0])\n", + "\n", + "print('\\n' + '*' * 12 + '\\n')\n", + "\n", + "print(test_dataset.data[0])\n", + "\n", + "print('\\n' + '*' * 12 + '\\n')\n", + "\n", + "print(preprocessed_test_texts[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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ZO8q8u/MaSdHkH9ZuZv9nitlfhzS952dRtMNoZx7w9PXI5X8pCnefaPz7iogJrGkAv74N9jWE2DNLUiXKW+HOpbhN7i8UH57reskvM7M3V19mAjdExDkUKw++jqKx6Dcyc+Y6X7lupwFPiYirKJY8DoqZUbtQLDN+6/rusOxB8G2KaeR/jYhfs+YWxstoXWmn2wyKE4W1Zl9l5vKyb1b3EtH2y5Ik1c12DU3PxwBPAV4CbAcsA47KzDOaXvNJipkYJ5QrH/+F4jPytcDDwPu7B2bm0oh4C/Ab4OLys/VGis/XF1HMAjq4HHtN+bm+H3B1RFxOcc5wEHBBuf9O+SxF38ujgQMj4grW/M/+ruX7eyqwuI/7v5TiXOCLEbEjxS1ij2Tmf/dhX9+m+B29DdgrIi6h6FXWfTvc84EX0/c+TSdS9In6REQ8H7iOYtb7gcDvgZez9kqD/6AoWB4SEcsomnsncFofFuYZB/wxIv5B8Xf1L4rb5A4EGosmPcrMSyLiRxSrZt8QEedTzLx/C3AR8Ope5LEL8IuIuJZi5t6DFH3KDqa41fC0hrH9+bttdjFwTUT8lGL21aspVsg+PzO7i81k5n3lgkhvBf5c9pB9EsW/md9R/D6bXQK8KSJ+CfyVolB1fmb+rV0imXlHRHyaYsXuv0XEzynO7V8LTAW+lZntmsNrmLCYJakqk1hztWm/8rEud9G7qcQfAQ6huGVxS4qVjT5OMQNsQ3SfaO1K0ZRzKXAnRdPQ72zAfj9FMTPtnRS9Ge6l6M/wRYqT+na6+2YFrbOvLqX4WdovS5JUR89iTSPxJRT/w3wzxQyLH2TmPc0vyMyHIuJFFAWgAyk+5+ZRzIj5XGbOahp/eUTsSjEz+9+BV1AUva4HmgtlBwFfpbiQtBPFrVSvoei51bFiVll0exlFa4B3AG+muMB3P0U7gS9S3G7Z1/3fXPZZ+jjwYYrC4d3Aehc8ytX03h4RvwUOp/iZjacouNwCfICiXURfc320vMX0JIqf/YspflevpLgo+XIaVmnMzFUR8bpy/FtY00T+bNa/P+oiinOx/SkKppMp/rZuBP4jMy/o5X4OA26nOP88kuIc8ZMUhbfeFLNmAidT9ER9DUUx7H6KdhYnNRZ8+vN328YpFCspHkkxc/BB4ATWzM5qdDjF3+ibKc5hbwWOoCg0titmdc/Y2o/iPXZRFCLbFrMAMvPLEXEHxQJMh5avuQX4Ypuit4aZ6NtKn5JULxFxFvAuYKvMvKvabCRJkrShyhlrLwE27cWqgpKGEXtmSZIkSZIq09jvtCF2CEUD9UssZElq5m2GkiRJkqQqXRgRCyhu81wK7Exx699jrFnYRpIeN+hmZkXEGyLiFxFxd0QsiYhbI+LExqViy9UgsofHZk37GxsRJ0fE/eX+ri4bS0qSJEmSOu8simbsb6Xo1/RcilUsd+/lAkCShplB1zMrIq6haOg8naJh3PMpVpn4B/CScnWwqcAsiobN5zft4k+Zuaphfz+maMp3NEWjvg9SNBt8sf/hlCRJkiRJqpfBWMyanJlzmmLvBH4A7F8ujTqVopj13sz87jr2tTPFShmHZeaZZWwkcBNwa2Ye+ET5bLHFFjl16tQ+vhtJklR3f/7zn+dm5uSq89DaPAeTJGloW9c52KDrmdVcyCr9qXzecj13dyCwgmIKa/f+V0bET4FPRcSYzFy2rh1MnTqVmTNnrudhJUnSYBERd1edg1p5DiZJ0tC2rnOwQdczqwf7lM+3NMVPjIiVEbEgIs6PiJ2atu8IzMrMxU3xm4DRwLYdyFWSJEmSJEl9NOiLWRGxJfB54KLM7L48twz4DvA+YBrwCWAn4I8R8ZyGl08C5rfZ7byG7e2OeUREzIyImXPmtJsoJkmSJEmSpE4Y1MWsiJhA0Qh+JXBodzwz78/M/8jM8zLzisw8A9gbSOAzG3rczDw9M3fLzN0mT7aFhiRJkiRJ0kAZtMWsiBgHXABsDbw8M+9Z1/jM/BdwJfDChvB8YGKb4d0zsua12SZJkiRJkqSKDMpiVkSMAs4FdgNelZl/X4+XNy7feBOwVUSMbxqzA7AcuGODEpUkSZIkSVK/GnTFrIjoAn4M7AccnJnX9PJ1U4A9gesawhcAo4A3NowbCbwZuPCJVjKUJEmSJEnSwBpZdQJ98E2K4tMJwKKI2L1h2z2ZeU9EfIWiUHc1MAfYHjgGWF2+DoDM/GtEnAOcWs72mgW8H9gKeNtAvBlJkiRJkiT13mAsZr2yfP4Mrc3c/ws4juL2wfcD7wYmAA8DlwD/lZm3Nr3mUIoC1/HAZsANwCsy8y8dyF2SJEmSJEkbYNAVszJzai/GfB/4fi/3twQ4qnxIkiRJkiSpxgZdzyxJkiRJkiQNXxazJEmSJEmSNGhYzJIkSZIkSdKgMeh6Zg11C2+5haUPPADAhO22Y9yWW1ackSRJkiRJUn1YzKqZO04+mdlnnvn491M/8AGed9ppRJeT6CRJkiRJkqyQ1Nxd3/oW86+7ruo0JEmSJEmSasFiVs08fOWVLbFHZs6sIBNJkiRJkqT6sZhVM4tuv70ltnrZsgoykSRJUk+mRzA9ouo0JEkalixm1U2b3lirly+vIBFJkiRJkqT6sZhVM9sfe2xLzJlZkiRJkiRJBYtZNdM1ZkxLzJlZkiRJkiRJBYtZNdM1enRLzJlZkiRJkiRJBYtZNdM1dmxLbNXSpRVkIkmSJEmSVD8Ws2pmxPjxLbFVixdXkIkkSVIhIvaNiGzzeKRp3MSI+G5EzI2IRRFxUUTs1GZ/YyPi5Ii4PyKWRMTVEbH3wL0jSZI0mI2sOgGtbcS4cS2xhTffXEEmkiRJLY4E/tTw/cruLyIigAuAqcCHgfnAMcClEbFLZt7T8LrvAa8GjgbuBD4I/D4iXpyZ13f0HUiSpEHPYlbNtJuZ9ch111WQiSRJUotbMvOaHrYdCOwB7JeZlwJExNXALOCTFIUwImJn4K3AYZl5Zhm7DLgJ+Hy5H0mSpB55m2HNrFq0qCW2+d7OupckSbV3IHBfdyELIDMXUMzWOqhp3ArgnIZxK4GfAi+PiNalnSVJkhpYzKqZ8VOntsRczVCSJNXEjyNiVUQ8HBH/GxFTGrbtCNzY5jU3AVMiYkLDuFmZ2dwU9CZgNLBtv2ctSZKGFG8zrJmuNj2zXM1QkiRVbAHwFeAy4FHg+cCngasj4vmZ+RAwCbirzWvnlc8TgcfKcfPXMW5S/6UtSZKGIotZNTNi7NiW2KolSyrIRJIkqZCZfwX+2hC6LCIuB66j6IV17EDkERFHAEcATJky5QlGS5KkocrbDGumq00xa9Ftt1WQiSRJUs8y8y/AbcALy9B8itlXzSY1bO/NuHlttnUf8/TM3C0zd5s8efL6Jy1JkoYEi1k1025mliRJUo1l+XwTRT+sZjsAszPzsYZxW0VE8xLOOwDLgTs6kmU/mR7B9Iiq05AkaVizmFUzo7fYojXY1UVmtsYlSZIqEhG7AdtT3GoIcD6wZUTs0zBmE+A15bZuFwCjgDc2jBsJvBm4MDNd+UaSJK2TPbNqpmvUqNbg6tXkypVEu22SJEkdFhE/BmYBfwEeoWgAfwxwL/CNctj5wNXA2RFxNMXthMcAAXy5e1+Z+deIOAc4NSJGlft9P7AV8LYBeUOSJGlQs5hVQyPGjWtp+r562bL2hS5JkqTOuxF4C/BhYDzwAHAe8LnMnAuQmasj4gDgFOBbwFiK4ta0zPxX0/4OBU4Ajgc2A24AXlH24ZIkSVoni1k11DV2bNtiFhMmVJSRJEkazjLzRODEXoybBxxWPtY1bglwVPmQJElaL/bMqqGuMWNaYquW2T5CkiRJkiTJYlYNtStmrbaYJUmSJEmSZDGrjtoVsxbPmlVBJpIkSZIkSfViMauGFt12W2swc+ATkSRJkiRJqhmLWTU05slPbomtWry4gkwkSZIkSZLqxWJWDW2+994tsRWPPlpBJpIkSZIkSfViMauGRowb1xKb98c/VpCJJEmSJElSvVjMqqGFt9zSEtto660ryESSJEmSJKleLGbV0NinPa0ltnrZsgoykSRJkiRJqheLWTW02Qte0BJbtXRpBZlIkiRJkiTVi8WsGuoaO7YlttpiliRJkiRJksWsOuoaM6Yl9vAVV1SQiSRJkiRJUr1YzKqhEW1mZq1avLiCTCRJkiRJkurFYlYNLbn33pbYRs96VgWZSJIkSZIk1YvFrBqa+G//1hK7/xe/qCATSZIkSZKkerGYVUPtemaNmzKlgkwkSZIkSZLqxWJWDY2cMKElNmqzzSrIRJIkSZIkqV4sZtXQqEmTWmKrli6tIBNJkiRJkqR6sZhVQ+1WM1xtMUuSJEmSJMliVh11tSlmLZk9u4JMJEmSJEmS6sViVg21m5klSZIkSZIki1m1NGKjjdrGV69YMcCZSJIkSZIk1YvFrBrqGjmybXzlwoUDnIkkSZIkSVK9WMyqqdGbb94SW/bQQxVkIkmSJEmSVB8Ws2pq+cMPt8RWLVpUQSaSJEmSJEn1YTFrEFm1ZEnVKUiSJEmSJFXKYlZNbbH//i2xVYsXV5CJJEmSJElSfVjMqqmR48e3xBbefHMFmUiSJEmSJNWHxayaWvHIIy2xEW0KXJIkSZIkScOJxayaeuzWW1uDmQOfiCRJkiRJUo1YzKqpLd/ylpaYPbMkSZIkSdJwZzGrptrdUjj30ksryESSJEmSJKk+Bl0xKyLeEBG/iIi7I2JJRNwaESdGxMZN4yZGxHcjYm5ELIqIiyJipzb7GxsRJ0fE/eX+ro6IvQfuHfUgoiVkzyxJkiRJkjTcDbpiFvAJYBXwaeAVwLeB9wN/iIgugIgI4IJy+4eB1wOjgEsj4ulN+/se8F7gs8ABwP3A7yNil86/lZ4tvvPOltiozTevIBNJkiRJkqT6GFl1An3wmsyc0/D9ZRExD/gBsC9wCXAgsAewX2ZeChARVwOzgE8CR5axnYG3Aodl5pll7DLgJuDz5X4qMXn//bn3pz9dK7Z66dKKspEkSZIkSaqHQTczq6mQ1e1P5fOW5fOBwH3dhazydQsoZmsd1PC6A4EVwDkN41YCPwVeHhFj+jH19dI1blxLbNWSJRVkIkmSJEmSVB+DrpjVg33K51vK5x2BG9uMuwmYEhETGsbNyszmZQJvAkYD2/Z3or01YuzYltiS2bMryESSJEmSJKk+Bn0xKyK2pLgl8KLMnFmGJwHz2wyfVz5P7OW4ST0c84iImBkRM+fMaTdRbMN1tSlmzbvqqo4cS5IkSZIkabAY1MWscobVdGAlcOhAHTczT8/M3TJzt8mTJ3fkGKuXL2+JbfqCF3TkWJIkSZIkSYPFoC1mRcQ4ih5YWwMvz8x7GjbPZ83sq0aTGrb3Zty8NtsGxPgpU1piuXJlBZlIkiRJkiTVx6AsZkXEKOBcYDfgVZn596YhN1H0w2q2AzA7Mx9rGLdVRIxvM245cEf/Zb1+Rm68cUtsyT33tBkpSZIkSZI0fAy6YlZEdAE/BvYDDs7Ma9oMOx/YMiL2aXjdJsBrym3dLgBGAW9sGDcSeDNwYWYu6/930Dsj2qxmuGJeZRPFJEmSJEmSamFk1Qn0wTcpik8nAIsiYveGbfeUtxueD1wNnB0RR1PcTngMEMCXuwdn5l8j4hzg1HK21yzg/cBWwNsG4s30pN3MLEmSJEmSpOFu0M3MAl5ZPn+GomDV+DgcIDNXAwcAfwC+BfwfsAqYlpn/atrfocCZwPHAr4FnAK/IzL909m2s26jNNmsbX23fLEmSpFqbHsH0iKrTkCRpyBp0M7Myc2ovx80DDisf6xq3BDiqfNTe6qVL6Zowoeo0JEmSJEmSKjEYZ2YNG6MmTWqJrVq6tIJMJEmSJEmS6sFiVo2NGDu2JbbaYpYkSZIkSRrGLGbVWFebYtaK+fMryESSJEmSJKkeLGbV2OI772yJrVq2rIJMJEmSJEmS6sFi1iCz2mKWJEmSJEkaxgbdaobDyRb778/ciy9eK7Zq8eKKspEkSVJPpkdUnYIkScOGM7NqbMS4cS2x+ddcU0EmkiRJkiRJ9WAxq8ZWL1/eEsuVKyvIRJIkafiZHuGMK0mSashiVo0tufvultiqJUsqyDyC48QAACAASURBVESSJEmSJKkeLGbV2JT3vKcldt+551aQiSRJkiRJUj1YzKqxlQsXtsQm7blnBZlIkiRJkiTVg8WsGhv7lKe0xOZfe20FmUiSJK0tIn4XERkRxzfFJ0bEdyNibkQsioiLImKnNq8fGxEnR8T9EbEkIq6OiL0H7h1IkqTBymJWjY3faquW2KLbbqsgE0mSpDUi4i3Azm3iAVwAvAL4MPB6YBRwaUQ8vWn494D3Ap8FDgDuB34fEbt0MHVJkjQEWMwaZDbdxfM7SZJUnYiYCHwNOKrN5gOBPYB3ZOZPMvN3ZawL+GTDPnYG3gp8LDPPyMyLgTcBs4HPd/gtSJKkQc5iVo1ttM02LbEF119fQSaSJEmPOwm4MTN/0mbbgcB9mXlpdyAzF1DM1jqoadwK4JyGcSuBnwIvj4gxnUhckiQNDRazamzkxhu3jWfmAGciSZIEEbEn8E7ggz0M2RG4sU38JmBKRExoGDcrMxe3GTca2LYf0pUkSUOUxawaGz15ctv4ikceGeBMJElSnUXEQRFxaMP3zywbqi+MiHMbikgbcozRwHeAUzLz1h6GTQLmt4nPK58n9nLcpB5yOCIiZkbEzDlz5vQucUmSNORYzKqxrpEj28aXPfjgAGciSZJq7lig8SrYV4GnA6cDewPH9cMxPgmMA07oh331SWaenpm7ZeZuk3u46CdJkoa+9tUS1dqqJUuqTkGSJNXLNsDfACJiHPAq4J2Z+fOIuAU4BvhEX3ceEVOAzwCHA2OaelqNiYjNgIUUs60mttlF90yr+Q3Pz1zHuHlttkmSJAHOzKq9zXbbrSW22mKWJEla21ig+wThJRQXLC8sv78VeNoG7n/r8hhnUxSiuh9QFMnmAztR9Lzasc3rdwBmZ+Zj5fc3AVtFxPg245YDd2xgvpIkaQizmFVzIzfZpCW29P77K8hEkiTV2F3AnuXXBwF/LlcRBHgSsKDdi9bD9cC0Ng8oClzTKApQ5wNbRsQ+3S+MiE2A15Tbul0AjALe2DBuJPBm4MLMXLaB+UqSpCHM2wzrLqIltOyhhypIRJIk1dh3gFMi4rXALsD7G7a9GLh5Q3aemY8AM5rjUZyn3J2ZM8rvzweuBs6OiKMpZmwdAwTw5Yb9/TUizgFOjYhRwKwy562At21IrpIkaeizmFVzcy++uCU2Yty4CjKRJEl1lZlfj4i5wO7ANzLzhw2bNwbOGqA8VkfEAcApwLcobk28GpiWmf9qGn4oRTP544HNgBuAV2TmXwYiV0mSNHhZzKq5KYceyuwzz1wrtmrx4oqykSRJdVQ2aP9ZZv64zeYPAU/txHEzs2UKeWbOAw4rH+t67RLgqPIhSZLUa/bMqrlRm23WElt4yy0VZCJJkmpsFvD8HrY9r9wuSZI0JFjMqrkR45sX+YHFszwflSRJa2ltsrnGKGD1QCUiSZLUad5mWHMLb27t1zp+q60qyESSJNVJRGwGTGoIbRkRWzcNGwe8C3hgwBKTJEnqMGdm1dwW++/fEpt91lkDn4gkSaqbjwB3ALcDCZxbft34+BvwPuD0inKUJEnqd87MqrnRkya1xMZPnTrwiUiSpLr5JXAXxS2G36dYFfCfTWOWATdn5t8GNjVJkqTOsZhVd5ktoRgxooJEJElSnWTmDcANABGRwK8y8+Fqs5IkSeo8i1k1N2H77Vtij95wQwWZSJKkusrMH1SdgyRJ0kCxmFVz7VYzdGaWJElqFhHvAt4CTAHGNm3OzNxm4LOSJEnqfxazam7cM57REusaPbqCTCRJUl1FxH8C/wXcCFxP0StLkiRpSLKYVXNdY5svrMKqJUsqyESSJNXYe4CvZ+bHqk5EkiSp07qqTkDr1jVyJHS1/ppWr1xZQTaSJKmmNgcuqDoJSZKkgWAxaxAYMWZMS2zpPfdUkIkkSaqpy4Cdq05CkiRpIHib4SDQ7rbC5Q8/zPipUwc+GUmSVEcfBc6LiIeB3wDzmgdk5uoBz2qImB5RdQqSJKmBM7MGgRHjxrXEFs+eXUEmkiSppm4DngucCTwIrGh6LK8uNUmSpP7lzKxBYOKLX8zcSy5ZK7b0vvsqykaSJNXQ54GsOglJkqSBYDFrEGguZAHEiBEVZCJJkuooM4+rOgdJkqSB4m2Gg8DUD3ygJXbfuedWkIkkSaq7iJgQEc+MiFFV5yJJktQJFrMGgWjTdHTCtttWkIkkSaqriDggIv4CLADuBHYq49+NiLdWmpwkSVI/spg1COSqVS2xpQ8+WEEmkiSpjiLiYGA6MBf4f0DjlbBZwLuqyEuSJKkTLGYNApvvtVdL7IFf/rKCTCRJUk19DjgzM18GnNq07UaKlQ4lSZKGBItZg8Dq5a2raW+x334VZCJJkmrqOcA55dfNqxrOBzYf2HQkSZI6x9UMB4HxU6e2xNqtcChJkoatR4Etetg2FZgzcKkML9Pb9DaVJEmdZTFrEBg1aVLVKUiSpHr7A3BMRPwWWFjGMiLGAB8CfltZZlqr4HVQNk+ckyRJ68ti1iAweuLEltjITTapIBNJklRTnwGuA24FfkNxq+GngOcBmwIHV5eaJElS/7Jn1iAw+klPaomtfPRR0it7kiQJyMy7gBcAvwJeCqwC9gauAV6UmfdVl50kSVL/cmbWIDBizBjo6oLVq9eKr5g/n9HegihJkoDMvAd4T9V5SJIkdZozswaLpkIWwLKHHqogEUmSJEmSpOo4M2sQW/HII1WnIEmSaiIiXgG8EXgGMLZpc2bmPgOflSRJUv9zZtYgsflee7XEFt9118AnIkmSaiciPknR+P0AYCOKnlmNj9Yp3pIkSYOUM7MGiYevuKIl1jVqVAWZSJKkGvoQ8B3gQ5m5qupkJEmSOsmZWYPE5Je9rCU276qrKshEkiTV0CbAzy1kSZKk4cBi1iCx0VZbtcQe/fvfK8hEkiTV0O+B3atOQpIkaSB4m+Eg0a4/1mO33z7wiUiSpDr6EPB/EZHAhcD85gGZeeeAZyVJktQBg25mVkQ8PSJOi4irI2JxRGRETG0zLnt47NI0risijomIuyJiaUTcEBGvH6j301uT//3fW2JL7r67gkwkSVINJbAQOAG4Dri9zUOSJGlIGIwzs7YF3gT8GbgCaG0mtcZZFM1QG93W9P0XgE8Anyn3eQjw84g4IDN/0x8J94cJz3lOS2yTnXeuIBNJklRDZwEvAb4G/ANYXmk2kiRJHTQYi1mXZ+aTASLicNZdzLo3M6/paWNEPImikPWlzDylDF8aEdsCX6JY4roWxk+Z0hJbvXRpBZlIkqQamgZ8MDPPqjoRSZKkTht0txlm5up+3N3LgdHA2U3xs4GdIqK163pFRm68cUts2Zw5FWQiSZJqaA7wYNVJSJIkDYRBV8xaT++PiGVlb61LImKvpu07AsuAO5riN5XPO3Q8w14aMX58S2zFvHkVZCJJkmroG8AHImKon9tJkiQNytsMe+ts4FfAfcAzgaOBSyLipZk5oxwzCXgkM7PptfMattfCiI02ahtfvWIFXaNGDXA2kiSpZiYCzwVujog/0LqaYWbm5wY+LUmSpP43ZItZmfmOhm+viIjpwI3A8cCeG7LviDgCOAJgSpteVp0wsodi1ooFCxizxRYDkoMkSaqtzzR8vV2b7QlYzJIkSUPCsJmKnpkLgV8DL2wIzwc2i4hoGt49I6vtfXyZeXpm7paZu02ePLn/k10Pyx54oNLjS5Kk6mVm1xM8RlSdoyRJUn/pSDErIlq7lddH4y2FNwFjgG2axnT3yrp5QDLqpXHPeEZLbNEdze2+JEmSJEmShq5Ozcy6LyK+ExHP79D+11tEbAIcAFzXEP4dsAJ4W9PwtwM3ZuasAUqvV5b8618tsVVLllSQiSRJkiRJUjU6Vcz6OkXhaGZE/CkiDouI1uX4+igi3hARbwB2LUOvLGP7lNs/ERFnRMRbI2LfiHgXcBXwFBp6SmTmQ8BXgWMi4qhy7LeB/YBj+ivf/rLlIYe0xB6YPr2CTCRJUp1ExOqIWLWuR9U5SpIk9ZeONIDPzGMj4nPAQcD7gDOAr0bEj4DvZOaNG3iInzd9/63y+TJgX+BW4LXlY1PgUYpi1nsy87qm134GeAz4CEWx61bgTZn5qw3Msd/FyNZf12O33lpBJpIkqWY+z9qtFAA2B15G0VLhrIFOSJIkqVM6tpphZq4CzgPOi4itgfcChwIfiIirgf8BzsnMFX3Yd3PD9ubtFwAXrEeex5ePWusaNaolNmrzzSvIRJIk1UlmHtcuHhEjKM6JFgxoQpIkSR00UKsZPgzcR7E6YFDMgPoBcEdEvHiAchj0Jjz72a3BbL4IK0mSVCgv2n0L+GjVuUiSJPWXjhazIuJFEfF94F7gixS3+u2amdsCOwGzgdM7mcNQstmuu7bE5l5ySQWZSJKkQWQMMKnqJCRJkvpLR24zjIj3U/TK2gm4naIv1VmZ+fgU98y8OSL+E7ioEzkMRSM22qjqFCRJUg1FxJQ24dHAc4EvATMHNiNJkqTO6VTPrG8A5wMfz8yL1zHuduDEDuUw5Gy8ww5VpyBJkurpLlobwEPR3uGfwAcHNBtJkqQO6lQx65mZed8TDcrMe4H/7FAOQ87IjTduG1+1bBkjxowZ4GwkSVKNHEZrMWspcDfwp7J3liRJ0pDQqWLW+IjYMzOvbN4QEXsAD2TmPzt07CErov0ijkvuvpsJ2203wNlIkqS6yMyzqs5BkiRpoHSqAfzXgdf1sO21wNc6dNxhaeVjj1WdgiRJqlBEbBcR+/Swbe+IeNZA5yRJktQpnSpmvRCY0cO2GcCLOnTcIW/TNisazr/uugoykSRJNXIq8Joeth2AFxIlSdIQ0qli1iYUfRraWQ5s2qHjDnkr5s9viXWN7NTdopIkaZDYDbi8h22XU1xolCRJGhI6Vcy6E5jWw7ZpFM1I1RfZulDRknvvrSARSZJUIxvT84XEFWzghcSIeHlEXBIRD0TEsoi4JyJ+FhE7NI17RkScGxELIuLRiDgvIqa02d/EiPhuRMyNiEURcVFE7LQhOUqSpOGjU8Wss4GjIuJ9ETEKICJGRcT7gI8BP+zQcYe8LQ85pCX28IwZA5+IJEmqkzuB/XvYth9w1wbufxLwZ+BDwMuAY4AdgWsi4pkAETEeuAR4NvAu4B3As4BLI2Kj7h1FsaLNBcArgA8DrwdGleOevoF5SpKkYaBT96edBPwb8G3gtIiYC2xRHu+XwJc6dNwhb/nDD7fE5l1zTQWZSJKkGvkh8IWImA18NzOXRcQY4HDgo8BxG7LzzPwJ8JPGWERcB/wDeAPwFeC9wNbA9pl5Rznmb8DtwPuAr5YvPRDYA9gvMy8tx10NzAI+CRy5IblKkqShryPFrMxcBRwcES8DXgpsDswFLszMizpxzOFio222aYmtXtrTXQWSJGmYOIWiL9ZpwNcjYh7FbKou4BcUFxr7W/cVtpXl84HANd2FLIDMnBURVwEHsXYx677uQlY5bkFEXFCOs5glSZLWqaOdwzPzQuDCTh5juNl0552rTkGSJNVMeSHxDRGxH8VtgJNYcyFxRn8dJyJGACOAZ1LMtH+ANTO2dgSmt3nZTcAbG77fEbixh3HvjIgJmflYf+UsSZKGno4vgxcRk4CxzfHMvK/Txx6KNnth+8WIVq9YQdeoUQOcjSRJqpPMvISib1WnXAvsWn59B8Wtgg+V308CWpddhnnAxIbvJ9G+h9e88nki0LaYFRFHAEcATJnS0ldekiQNEx1pAB8RG0fEGRGxEJgD/KvNQ30wetKktvHHbrttgDORJEl1ExEHRMTJEfG98vlV/XyIdwC7A28FHgX+EBFT+/kYPcrM0zNzt8zcbfLkyQN1WEmSVDOdmpn138CbgLOAvwPLOnQclVYuXFh1CpIkqSIRsTHwK2Avih5WD1P0LD0qIq4ADuiPW/cy85byy2sj4rcUM6w+BfwHxaysiW1e1jxja13joP3sLkmSpMd1qpj1SuCTmXlah/Y/rE3ac0/mXXnlWrFHZs5k0u67V5SRJEmq2BeBF1DMnPppZq4q+1sdQrG69Bfp58bqmflIRNwBbFuGbqLoh9VsB+Dmhu9voujr1W7cbPtlSZKkJ9KR2wzL/d7yhKPUJyseeaQlNv/aayvIRJIk1cTrgWMz88dlM3gyc1Vm/hj4z3J7v4qIJwPPBv5Zhs4Hdo+IrRvGTAX2KLfRMG7LiNinYdwmwGuaxkmSJLXVqZlZPwNeDVzUof2ryYhx46pOQZIkVWdz1p791OjmcnufRcT/AX8B/kbRK2s74GMUtzR+pRx2BvAhYHpEHAsk8AWKXqnfadjd+cDVwNkRcTTFbYXHAAF8eUPylCRJw0Onilm/Ar4RERsBv2HN6jSPy8zLO3TsIW+THXdk4Y1rr2i9/OGHK8pGkiTVwCzgAOAPbba9qty+Ia6h6If6cWA0RYFqBnBiZt4FkJmLImI/4GvAjyiKUxcDH228dTAzV0fEAcApwLcoVr2+GpiWmS4SJEmSnlAni1kAWwOHU1yZ6xbl9yM6dOwh7ykHH8y955yzVuz+886rKBtJklQD3wG+EhETgB8D9wNPoeiZdThw1IbsPDNPAk7qxbjZ9OKWxsycBxxWPiRJktZLp4pZL+3QfgV0jWz9tW203XYVZCJJkuogM78WEZMpilbvLsMBLAe+lJlfryo3SZKk/taRYlZmXtyJ/aow4TnPaYktuu22CjKRJEl1kZmfjoiTgd2BSRRtHq7JzPnVZiZJktS/OjUzC4CImAi8iKLp6G8yc35EjMrMFZ087lA3ZvLktvHVK1e2nbUlSZKGh7Jw9duq85AkSeqkjlU+IuJE4KPAGIoeWS+kWK3m1xFxeWYe36ljD3WjJk5sG3/sttvYZIcdBjgbSZJUhYjYe33Gu/iOJEkaKjpSzIqI/0exXPMXKVbVuaph8wXAWwGLWX3UNWpU2/hjt9xiMUuSpOFjBmsW2QnWXnCnHRffkSRJQ0KnZmYdAXwhM0+IiOYTp9uBbTt03GHt0b//nae9/gkXEJIkSUPDtIavNwNOA24Efgo8CDwZeAuwI/DBAc9OTI+oOgVJkoakThWzng78sYdty4EJHTrusDFuyhSWzJ69VmzkJptUlI0kSRpomXlZ99cRcRZwYWYe3jTshxHxPeB1FLPjJUmSBr2uDu33PoqrgO3sBNzVoeMOG5Ne8pKW2Lwrr6wgE0mSVAMHAef0sO2ccrtqZHqEM7ckSeqjThWzzgU+GxEvaohlRGwDfIKeT7bUS5vusktL7MHf/KaCTCRJUg100XMbh2dhvyxJkjSEdKqYdRxwB8WthreUsZ9S9HGYBZzYoeMOG6uWLGmJrV62rIJMJElSDfwaODEi3tjdrzQiRkTEmygW3flVpdlJkiT1o44UszJzEbA3cDjwF4rVdv4GfAjYPzOtumygLaZNe+JBkiRpuDgS+DvF7PclEfEgsITiYuLfy+2SJElDQqcawJOZK4Ezy4f62cQXvahtfMWCBYzadNMBzkaSJFUpM+cCe0XES4HdgacC9wNXZ+ZFlSYnSZLUzzpWzFJnjRg7tm182Zw5FrMkSRqmMvMPwB+qzkOSJKmTOlLMiojbgVzHkMzM7Ttx7OFu8Z13MmHbnvq/SpIkSZIkDW6dmpl1La3FrM0ppr0/ClzeoeMOK5vusgsLrr9+rdiif/6zomwkSZIkSZI6ryPFrMx8e7t4REwCfkex4o42UHMhC2D1ihUVZCJJkiRJkjQwOrKaYU8ycx7wZeBzA3ncoWqrD3+4JTb7+9+vIBNJkiRJkqSBMaDFrNJiYEoFxx1y2jWBf/SGGyrIRJIkDbSIOC8iti2/fmdEbF51TpIkSQNhwIpZEdEVEc8FPgvcMlDHHcpGb7FF1SlIkqTqHARMKr8+E9imwlwkSZIGTEeKWRGxIiKWNz6A5cANwHOAj3XiuMPNk1/96rbxzHUtJClJkoaIB4EXl18H615JWpIkacjo1GqGJ9F6QrUUuBv4dWbO79Bxh5WNn/3stvEV8+YxenPvNJAkaYj7GfC1iPgqxXnXNRHR09jMzE6d90mSJA2oTq1meGwn9qu1xYgRbeMrHn3UYpYkSUPfx4CrgB0oFtc5C7i3yoQkSZIGglfoBrkJ22/PY7feulZs/rXXstFWW1WUkSRJGghZ9BX4OUBEvBv4ema6EowkSRryOlLMiojT12N4Zub7OpHHcLDknntaYg/99rc8/ZBDKshGkiRVITO9iiVJkoaNTs3MeiWwMbAJsBqYD0ykaDj/KLCwYazNSjfA2Kc9jUW3375WbO5ll1WUjSRJqkpEPBX4OLAPxSqH84BLga9m5gNV5iZJktSfOrKaIfAmiqLV24FxmTkZGAe8o4y/MTOfUT6mdCiHYWHSHnu0xJbcfXcFmUiSpKpExHYUq0YfCTwGXFc+fwS4PiKeVWF6kiRJ/apTxayvAV/OzP/NzBUAmbkiM38MnAx8vUPHHXaeetBBbeNFGw1JkjRMnAQsALbLzGmZ+ZbMnAZsV8ZPqjQ7SZKkftSpYtbOwK09bLsV2KlDxx12tpg2rW186X33DXAmkiSpQtOA/8zMuxqDmXk3cFy5XZIkaUjoVDHrQeANPWx7I/BQh4477IzadNO28XvPOWeAM5EkSRUazdo9SRstLLdLkiQNCZ0qZn0deG9ETI+It0fES8vn84HDgFM7dFyV7jn77KpTkCRJA+d64MMRsda5XUQE8IFyuyRJ0pDQkdUMM/NrEbEY+E/gNQ2b7gPen5mnd+K4w9Wkl7yEeX/841qx0ZMnV5SNJEmqwOeBXwG3RMQ5wP3AUyhmxD8LeHWFuUmSJPWrjhSzADLzOxFxBvBM4KkUJ1V3Z+bqTh1zuHrmEUe0FLPmXHhhRdlIkqSBlpm/i4gDgOOBzwABJPBn4IDM9MRAkiQNGR0rZgGUhatZ5UMdsunOO7eN56pVxIgRA5yNJEmqQmb+DvhdRIwHJgLzM3NxxWlJkiT1u071zCIinhcRP4uIByJieUS8oIwfHxEv69Rxh6PxW2/dNv7Y7bcPcCaSJKlqmbk4M++1kCVJkoaqjhSzIuIlwLXAzsB5QOP0oC7gPzpx3OFq1CabtI3f/8tfDnAmkiRJkiRJndWpmVknARcDzwGOpOjb0G0msGuHjqsGD0yfXnUKkiRJkiRJ/apTxaxdgW+WPbOyadtc4Ml93XFEPD3+P3v3HS9HVT5+/POkQggQAoHQIgQEaYoaFFAgRJAOKk0RFRGxoRRBf1gQEUXlq6Jgw4Jo8Gv5WgKooUgMgiAggUDoECAgJZAQQgipz++PmQubzd7k3twtt3zer9e89u6ZMzPPntlsZp89c07E+RFxQ0S8GBEZEZvVqLdaRJwbEU9ExPyy/u416vWLiNMj4uGIeCkibo+IQ1c1vlYZsffey5XNvvHGFkQiSZKk9kyIYELEcs8ryyRJ0oo1Kpm1AFi9nXUjgTld2PeWwBHAbOCfK6j3M+DDwBnAgRSzKV4RETtW1fsKcCZwAbAfcCPw+4jYvwsxNt3GRxzR6hAkSZIkSZIarlHJrOuAT0VE5f7bemgdC0zqwr6vzcwNMnN/4Pe1KkTE64CjgJMz8yeZ+XeKBNijwFkV9dYHTgW+npn/k5mTMvMjZXxf70KMTbfennvWLM8lS5ociSRJaqaIGBQRtzrBjiRJ6isalcw6A9gJmAKcTpHIOjoirgLeAnx5VXdc3rq4MgcDi4DfVmy3GPgNsE9EDC6L9wEGAeOrth8P7BARm69qnM3W3oyGc6ZObXIkkiSpmTJzIbA5sLjVsUiSJDVDQ5JZmTkFGAs8R3ELXwAnAasBe2bm3Y04boXtgOk1pqSeRpG82rKi3gLggRr1ALZtWIR1Fu2Ms/DEH//Y5EgkSVILXAXYM0uSJPUJAxq148y8GdgjIoYA6wGzM3Nuo45XZTjFmFrVZlWsb3t8LjOrB6mvrreMiDgeOB5g1KhRXYu0jqJ//+VuK3zu5ptbFI0kSWqi84HxETEA+DPFWKHLXN9k5kOtCKwncjB2SZK6t7r3zCrHbXg6Ig4CyMwXM/PRJiayGi4zL8zMMZk5ZsSIEa0O52Xr7r7cZI3Mue22FkQiSZKabDKwKXBK+fd9wP1ViyRJUq9Q955ZmbkwinveXqr3vjthNvCqGuVtPa1mVdQbFhFR1Turul6PsP5++/HMpGXH1l/w1FMtikaSJDXRB1sdgCRJUrM06jbDS4FDKcZvaIVpwDsjYkjVuFnbAgt5ZYysacBgYAuWHTerbaysuxodaD2t8+Y3tzoESZLUApl5catjkCRJapZGzWZ4KXBARPwmIt4dEXtExO6VS4OO2+YyYCBweFtBOYbEkcCVmbmgLJ5IMevhe6u2Pxq4MzOnNzjOulpzm21qli9+4YUmRyJJklohIvpFxPbltdcarY5HkiSpERrVM+tP5eMR5VJ5C1+Uz/uv6s4j4rDyzzeWj/tFxExgZmZOzswpEfFb4LyIGAhMBz5GMW31y4mrzHw6Ir4NnB4Rc4FbKRJe44CDVzW+Vhm03no1y5+87DI2ec97mhyNJElqpoj4BPAliol3EtgJuDUi/gxck5nfa2V8kiRJ9dKoZNbeDdpvm99XPf9B+TgZGFv+/UHgq8DZwDDgdmDfzLy1atvPAy8AJwIjgXuBIzLz8vqH3VjRzsw7D333uyazJEnqxSLiw8B3gZ8DVwK/q1j9T4rhH0xmSZKkXqFuyayIGAfclJkvZObf67XfWjJzpfMlZ+Z8ihl9TllJvSUUCa+z6xNdaw19zWt44Z57limb/e9/tygaSZLUJKcA38rMz0ZEde/3e4DTWhCTJElSQ9RzzKyreGXg9LYxG66NiFfX8RhaiU3f975WhyBJkppvc+CKdtbNo+ilLkmS1CvUM5lV3VsqgLcCa9bxGFqJDd/5zprlmVmzXJIk9QrPAJu1s25r4PHml6cSZgAAIABJREFUhSJJktRYjZrNUC0ydKutapa/+PDDzQ1EkiQ10+XAGRExuqIsI2I94GTgz60JS5Ikqf5MZvUy0b/2JJGPXXJJkyORJElN9AVgAXAncDXFbIbfA+4GlgBntS40SZKk+qp3MmvjiBhd/io4urqscqnzcbUS088/v9UhSJKkBsnMZ4AxwDnAQOBBiol+LgB2ycw5LQxPkiSpruo2m2Hp/2qUtdetvXYXInXZyIMO4snLLlumbMHTT7coGkmS1AyZORf4SrlIkiT1WvVMZn2wjvtSF4z60IeWS2YBLJg5k8EjRrQgIkmS1AwRsRawPbAx8BhwZ5nk6up+DwPeQ9H7a33gUeCPwNcq9x8R6wDnAu8AVgduAE7OzDuq9rcaRdLtaIqZFm8DPpuZ13Y1VkmS1PvVLZmVmRfXa1/qmg32379m+YyLL2bLU09tcjSSJKkZIuIM4NPAUF6ZZXpuRJybmWd3cfenUiSwPkeRJHs9cCawZ0TsmplLIyKAyyhmVfwkMBs4HZgUETtm5mMV+/sZcABwGvAQ8AngiojYJTNv62KskiSpl6v3bYbqBvoNHFiz/IFzzzWZJUlSLxQRXwa+CPwU+A3wFLABRW+qL0fEgMw8swuHOCgzZ1Y8nxwRs4CLgbHANcDBwFuAcZk5qYzrBmA68BngU2XZ64CjgGMz86KybDIwjWKg+oO7EKckSeoDnM2wl1rvbW9brsxxsyRJ6rU+DHwrM4/PzGsyc1r5+GHgO8DxXdl5VSKrzc3l48bl48HAf9sSWeV2cyh6ax1Ssd3BwCLgtxX1FlMk4faJiMFdibU3mBDBhIiVV5QkqY8ymdVLbf7Rj9Ysz8wmRyJJkppgbeCKdtZNLNfX2x7l493l43bAnTXqTQNGRcTQinrTM/PFGvUGAVvWO1BJktS7mMzqpUbss0/N8nn339/kSCRJUhP8G9ipnXU7levrJiI2prgl8OrMvKUsHk4xTla1WeXjOh2sN3wFxz0+Im6JiFtmzqzVWUySJPUFJrN6qYFrrlmz/PHf/77JkUiSpEaIiH5tC8V4VMdGxGkRsVlErF4+fgY4FjihjscdCkwAFtPk2awz88LMHJOZY0Y4Q7MkSX2Wyaw+5umJE1sdgiRJqo/FFGNPLQJuB7YAvg48CLxQPp5Tlk+txwEjYnWKMbBGA/tUzVA4m1d6X1UaXrG+I/Vm1VgnSZL0Mmcz7MXWGzeOZ665ZpmyWddd16JoJElSnZ0FNG0wzIgYCPwfMAbYOzPvqKoyDXh7jU23BR7NzBcq6r0zIoZUjZu1LbAQeKC+kUuSpN7GZFYvtvERRyyXzJIkSb1DZp7ZrGOVtzJeAowDDszMG2tUuxT4YETskZmTy+3WAg4Cfl1R7zLgy8DhwMVlvQHAkcCVmbmgYS9EkiT1CiazerERe+9ds/ylJ59ktZEjmxyNJEnqwb5PkXz6KjAvInauWPdYebvhpcANwPiIOI3idsLTgQC+2VY5M6dExG+B88reXtOBjwGbA+9txouRJEk9m8msXmzI5pvXLJ9+wQVsc/bZTY5GkiQ1UkRsAxwGbAqsVrU6M/MDXdj9fuXj58ul0peBMzNzaUQcCPwP8IMyhhuAPTNzRtU2H6RIjJ0NDKMY82vfzLy1CzFKkqQ+wmRWLxYRNcvv++pXTWZJktSLRMT7gZ9TjKH1NMXYU5W6NLZWZm7WwXqzKGZPPHYl9eYDp5SLJElSpzibYS838h3vaHUIkiSp8b4ITABGZObGmbl51TK61QFKkiTVi8msXm7rM86oWb543rwmRyJJkhpoJPCDzHyu1YFIkiQ1msmsXm7tHXesWT7j4oubHIkkSWqg64FtWh2EJElSM5jM6uXaGzfrzpNPbnIkkiSpgU4Ajo+I90TEuhHRr3ppdYCSJEn14oVNH7D261+/XNnShdXjwkqSpB7sMWAKMJ5iAPhFVYv/8UuSpF7D2Qz7gG3POYcb9t13ufLMbLfnliRJ6lF+AhwJ/Bm4B5NXkiSpFzOZ1QesO3ZszfKn/vpXRh5wQHODkSRJjXAIcFpmfrfVgUiSJDWatxn2Af0HD65ZPu2005ociSRJapB5wF2tDkKSJKkZTGb1Ef0GDVqu7IW7725BJJIkqQEuAo5qdRCSJEnN4G2GfcRrf/hDbvvQh5YrX7pwYc1ElyRJ6lEeAd4TEVcBE4HZ1RUy8+dNj0qSJKkBTGb1ERu+4x01k1nTv/99tjj55BZEJEmS6uiH5eOrgLfVWJ+AySxJktQrmMzqIwYNH16zfNpnPmMyS5Kknm/zVgcgSZLULCaz+pA1t9uOudOmLVOWixe3KBpJklQvmflIq2OQJElqFgeA70N2vPDCmuXzZ8xociSSJEmSJEmrxp5ZfcjwXXetWT71hBN484QJTY5GkiTVS0RMpxgXq12ZObpJ4UiSJDWUySzx5KWXtjoESZLUNZNZPpm1LrAr8AJwTdMjkiRJahCTWX3Mlp/9LA984xvLlS9dtIh+Awe2ICJJktRVmXlMrfKIGAZMBK5uakCqiwkRL/99SK6w450kSX2KY2b1MVueckrN8od//OMmRyJJkhotM58DzgXOaHUskiRJ9WIyq48ZvP76NcunnXpqkyORJElN8hKwSauD0MpNiFimN5YkSarNZFYftOZ22y1XtnTBAtLu65Ik9RoRMSAidgTOBKa1OBxJkqS6MZnVB732ggtqlj/8ox81ORJJklQPEbE0IpZULsAC4D/AlsDJrY1QkiSpfhwAvg9ad489apZP/fjH2fxjH2tyNJIkqQ7OYvnZDF8CHgH+lplzmh+SJElSY5jM6oMigsEjR7LgySeXW7f4xRcZMGRIC6KSJEmrKjPPbHUMkiRJzeJthn3UWyZNqln+wLnnNjkSSZIkSZKkjrNnVh+15mteU7P83jPP5DVf+lKTo5EkSZ0VEWd0pn5mntWoWCRJkprJZFYfNmzMGJ675Zblyuc99BBrjB7dgogkSVInnNmBOpXjaJnMkiRJvYK3GfZhY37zm5rlUz74wSZHIkmSVsHAlSw7AVcCATzQohglSZLqzmRWH7bGFlvULH/22mvJrJ4QSZIkdSeZuaTWAowGxgP/BrYFji8fJUmSegWTWX3cFiefXLN8xsUXNzkSSZLUFRGxaUT8FJgGjANOBV6dmT8tk1ySJEm9gsmsPm6bc86pWe6thpIk9QwRMSIivgvcBxxKMTbW6Mw8LzMXtjY6SZKk+jOZ1cf1HzyYGFB7HoD5//1vk6ORJEkdFRFrR8TXgIeADwHfpUhinZ2Z81obnSRJUuOYzBK7XHFFzfLbPvShJkciSZI6YTrwWeA6YB/gQmCdiBhda2lppJIkSXVUu0uO+pQR48bVLH964kQyk4hockSSJKkDhpWP+wBv70D9/g2MRZIkqWlMZgmALU45hQe//e3lymdefTXr7713CyKSJEkr4QCXkiSpTzKZJQC2PuOMmsmsG97+dg7JbEFEkiRpRTLTqYclSVKf5JhZAmDg2mu3u27O1KlNjESSJEntmRDBBIeAkCT1cSaz9LL2BoK/+dBDmxyJJEmSJElSbSaz9LIRe+1Vs3zeAw+w6PnnmxyNJEmSJEnS8kxm6WXRrx9bfvazNdf9c5ddmhyNJEmSJEnS8nptMisixkZE1lieq6q3TkT8NCKeiYh5EXF1ROzQqrhbbesvfKFm+dy77mLRnDlNjkaSJEmSJGlZvTaZVeFTwC4Vy8v30kVEAJcB+wKfBA4FBgKTImKT5ofaegOGDmX9ffapuW7qCSc0ORpJkiSBA79LklSpLySz7s7MGyuWWyrWHQy8BXhfZv5vZk4sy/oBn2lFsN3BG371q5rlj40fz9KFC5scjSRJkiRJ0iv6QjJrRQ4G/puZk9oKMnMORW+tQ1oWVYsNHjGCYTvtVHOdvbMkSZIkSVIr9YVk1iURsSQino2IX0fEqIp12wF31thmGjAqIoY2J8Tu580TJtQsf+QnP2HJggVNjkaSJEmSJKnQm5NZc4BvAccB44CvUIyXdUNErF/WGQ7MrrHtrPJxnVo7jojjI+KWiLhl5syZ9Y26m1htww3pN2hQzXU37r9/k6ORJEmSJEkq9NpkVmZOycxTM/OyzJycmedRDPS+AcWg8F3Z94WZOSYzx4wYMaIu8XZHe95xR83yZ665hvkzZjQ5GkmSJEmSpF6czKolM28F7gPaBoSaTe3eV8Mr1vdZQ7faimFjxtRcd+WoUWRmkyOSJEmSJEl9XZ9KZlVoy8JMoxg3q9q2wKOZ+ULzQuqedrnyynbXPXT++U2MRJIkSZIkqY8lsyJiDLA1cFNZdCmwcUTsUVFnLeCgcl2fN2idddjo8MNrrrvzxBNZ+OyzTY5IkiRJkiT1Zb02mRURl0TE2RHxrogYFxGfBiYCjwPfK6tdCtwAjI+Id0fEPmVZAN9sSeDd0BvHj2933b/22quJkUiSJAlgQgQTIlodhiRJLdFrk1nAncDBwEXAFcBJwB+BN2fmMwCZuRQ4ELgK+AHwJ2AJsGdmOsJ5qd+gQYz53e9qrptz2208N2VKkyOSJEmSJEl91YBWB9AomXkOcE4H6s0Cji0XtWPjww9nytChLHlh+WHEJr/hDRy8eDHRv38LIpMkSZIkSX1Jb+6ZpTrbe/r0dtddu+uuTYxEkiRJkiT1VSaz1GGD11uP0Z/6VM11z910E49efHGTI5IkSZIkSX2NySx1yrZf/3q766YccwwvPvJIE6ORJEmSJEl9jcksdUr/1VdnzzvuaHf9VZttxuIa42pJkiRJkiTVg8ksddpa22/P1l/6Urvrr915ZzKziRFJkqRGi4hNIuL8iLghIl6MiIyIzWrUWy0izo2IJyJifll/9xr1+kXE6RHxcES8FBG3R8ShzXgtkiSpZzOZpVWy9Rln0H/o0Jrr5k6bxj1f/GKTI5IkSQ22JXAEMBv45wrq/Qz4MHAGcCDwBHBFROxYVe8rwJnABcB+wI3A7yNi//qGLUmSehuTWVol0a/fCmc3vO+rX2XGJZc0MSJJktRg12bmBpm5P/D7WhUi4nXAUcDJmfmTzPw7RQLsUeCsinrrA6cCX8/M/8nMSZn5EWAS0P4AnZIkSZjMUhcMXm89xt5+e7vrbz36aGbffHMTI5IkSY2SmUs7UO1gYBHw24rtFgO/AfaJiMFl8T7AIGB81fbjgR0iYvOuR9w3TIh4eZEkqa8wmaUuWfu1r2XrM89sd/21b3oTLz31VPMCkiRJrbQdMD0zX6wqn0aRvNqyot4C4IEa9QC2bViEkiSpxzOZpS7b+otfZIMDD2x3/RUjR7J08eImRiRJklpkOMWYWtVmVaxve3wul58xprreMiLi+Ii4JSJumTlzZpeDlSRJPZPJLHVZ9OvHmy+9lDW3267dOte+6U3OcChJkrokMy/MzDGZOWbEiBGtDqfb8XZDSVJfYTJLdRER7HHLLe2unzNlChM32MBbDiVJ6t1mA+vUKG/raTWrot6wiOUyL9X1JEmSlmMyS3XTf7XVeNv997e7fuHMmVwxciSL581rYlSSJKmJpgGbR8SQqvJtgYW8MkbWNGAwsEWNegB3NSxCSZLU45nMUl0N3XJLdvvXv1ZY5+9bbeUth5Ik9U6XAQOBw9sKImIAcCRwZWYuKIsnUsx6+N6q7Y8G7szM6U2IVZIk9VADWh2Aep/hu+zCDuefzx2f/GTN9S/9979cNnAgb3/8cVbbYIMmRydJklZVRBxW/vnG8nG/iJgJzMzMyZk5JSJ+C5wXEQOB6cDHgM2pSFxl5tMR8W3g9IiYC9xKkfAaBxzcpJcjSZJ6KJNZaojRJ5wAEdxxwgk11+eSJVwxciRvnzGD1TfZpMnRSZKkVfT7quc/KB8nA2PLvz8IfBU4GxgG3A7sm5m3Vm37eeAF4ERgJHAvcERmXl7/sCVJUm9iMksNM/oTn2Do1ltzw957t1vnyk035YC5cxkwdGgTI5MkSasiM1c6VV5mzgdOKZcV1VtCkfA6uz7RSZKkvsIxs9RQ6++1Fzv9vvpH3GX9Zc01WfDMM02KSJIkSZIk9WQms9RwGx12GG++9NIV1pk4YgTP3+XERZIkSY0wIYIJsdKOdZIk9Qgms9QUIw86iJ3/+tcV1pm03XY89be/OdOhJEmSJElql8ksNc0G++3H2ClTVljnxv33Z+rHP25CS5IkSZIk1WQyS0219o47stuNN66wzsM/+hFXjx7N83fe2aSoJEmSep+2Wwu9vVCS1NuYzFLTDX/zm9nliitWWOfFhx9m0g47cN8557DkpZeaFJkkSZIkSeruTGapJdZ/+9t527330n+NNVZY7+7PfY6JI0c626EkSZIkSQJMZqmFhm61FXs98ABDt956hfUWz5nDxBEjmDF+fJMikyRJ6t28BVGS1JOZzFJLrTZyJOPuuoutzzxzpXVvfd/7uGG//Xh+2rTGByZJkiRJkrolk1lquejXj9d86UvseeedDN5wwxXWfXriRCZtvz0PXXABLz76aJMilCRJkiRJ3YXJLHUba223HXs/+CCjTzxxpXXv+OQnuXqLLXhm8mQyswnRSZIk9QzePihJ6u1MZqlb6b/66uxw3nm8acKEldbNxYu5fuxYrtx0Ux795S+bEJ0kSVLPZqJLktQbmMxSt7ThwQez/5w5bLD//iut+9LjjzPlAx/gn7vtxt1nnMG8hx5qQoSSJEmSJKkVTGap2xq41lrs/Je/MHbKlA7Vn3Xdddz3la9w9RZb8N8//Yn5jz3W4AglSZIkSVKzmcxSt7f2jjvy9hkz2P473+nwNje/611cuemm/Pud72TJSy81MDpJkiRJktRMJrPUI6y+ySZscdJJ7P3II6y/774d3u7JP/+Zy1dfnet23517zzqLpYsWNTBKSZIkSZLUaCaz1KMMGTWKXf72Nw6cP5/1xo3r8HbP/vOf3POlL/G3ddflkYsuYta//kUuWdLASCVJkiRJUiOYzFKP1H+11dhl4kTeMnkyO5x/foe3Wzx3Lrcdeyz/fMtbuPnII8mlSxsYpSRJUs/hTIeSpJ7CZJZ6rH4DB7Le7rsz+oQTGHfPPWz6gQ+w+qhRHd7+iT/8gUv79+fyIUP4xxvewFMTJzYwWkmSJEmSVA8DWh2AVA9rbr01b/jFLwB46IILuPPkk8nFizu07ZL585kzZQo37rcfm7z3vQweOZKBw4ax4SGHsNYOOzQwakmSJEmS1Fkms9TrjD7hBEYdcwxz77mH6d//PjPKJFdHPHbJJS//fc8Xv8iOP/856+2xBwCrjxpFvwH+k5EkSZIkqZX8Zq5eacDQoawzZgzrXHQRG73rXTx9xRU8fdVVzLvvvk7t57Zjj3357/5Dh7LDeefxqg99qN7hSpIkSZKkDjKZpV5v5EEHMfKggwB48LzzuP+cc1jw9NOd3s+SF17gtuOO46Hzz2e1DTd8uXzoVlsx+sQTWWP06LrFLEmS1J20DQx/SGaLI5EkyWSW+pgtTjqJ0SeeyJL581n8/PNct/vuzLv//k7t4/nbb+f5229/+fnTEyfy0Pe+xxvGj2fgWmsBEAMHss5OOzFo3XXrGr8kSZIkSX2dySz1ORHBgCFDGDBkCGNvvZWnJ07kxYcfBmDaaaet8n5vPfroZY8zcCBj/vd/2ejQQ7sSriRJUkO19bqSJKmnMJmlPm3A0KFsdNhhLz/f9JhjmPbpTzPrxhvJRYt4cfr0Vd53LlrEzYcdxmobb0z06wfA4A02YLOPfIRXHXdcl2OXJEmSJKkvMpklVRi83nq84eKLX36++MUXuemd72TmlVeu8j5fevzxl/+eP2MGt91yC49efDEbHHDAMvVW23BDNjjgAAavt94qH0uSJEmSpN7OZJa0AgOGDGGXiROZO20a82fMeLn8pSee4LYuzGo467rrmHXddcuVDxw+nN2uv57VNt54+ViGDiW8DUCSJEmS1MeZzJJWIiJYa/vtWWv77ZcpH77LLjz8ox8x76GHXi576vLLu3SsRbNmcc0229RcN3iDDdjmq1/lVV1IokmSJK2MMxdKkro7k1nSKlpzm23Y4bvfXaZs4axZ3HLkkcy8+uq6H2/BU09x23HH8fCFFzJ0q61q1hm8/vpsctRRDHvjG+t+fEmS1Lc4MLwkqbsymSXV0aDhw9n1qqtYOHs2i+fOfbn85sMO47mbb67LMZ676Saeu+mmdtc/+O1vs/13v8s6O+20wv2s/qpXsfpGG9UlJkmSJEmSmsVkltQAg9ZZh0HrrPPy892uv54n/vhH5tx+O7l06cvlS+fP56Hvfa/ux7/zxBM7VG/T97+fHX/2M/oN8KNAkiRJktQz+A1WaoJ+Awey8ZFHsvGRRy63bpP3vY87TzqJ56dOJavGpljywgsNjWvGL3/JjF/+krVf//oO1R84bBgbHXEEm33kIw5GL0mSJElqCZNZUoutM2YMu9WY2RBg6cKF3HjQQcy88sqGxjBnypQO131m0iQevegiNvvwhzt1jH6rr866u+3GkFGjOhueJEnqJlY0OLwDx0uSmsVkltSN9Rs0iJ3/8heeu+km5j34YM06mcmUD3ygqXE9d9NN3LaCcbva02/QIHb64x8ZecABDYhKkiRJktQXmMySurl+AwYwfNddGb7rru3W2WDffbn3rLOYM2XKMmNyVZt7110sfv75RoTZIUsXLuTfBx5Iv0GD6rPDCNbcfnt2+M53WHe33eqzT0mSJElSt2YyS+oFBq+/Pq+94IIO1b33rLO496yzyCVLGhxV+5YuXFi3fc35z3+4bvfdedVxx9F/6NC67beWNbfdlk2OOooBa6zR0ONIkiRJktpnMkvqY7Y+4wxGn3QS8x54oMPbTD3hBGbfcEMDo+q6R37606Yc5+7PfY63Xncd0b9/U463KqJ/f4a86lVEv36tDkWS1AdMcFIYSVKTmcyS+qCBa63FsDe8ocP1d7vuOmaMH8/sG25g6aJFnTrWoz/7WWfD69YWPvMM17zmNa0OY6UGrbsubxg/ng323bfVoUiS+jAHhZckNYLJLEkrFf36Mer972fU+9/f6W23+8Y3uPUDH2DmVVfV9fZCrdjCZ5/lxv32Y9099qjfGGXd3OCRI3nVscey3tixrQ5FkiRJUgOZzJLUUIPWXZedL7+cpYsX122croVPP80/d9uN+Y88Upf99WbPTp7c6hCa6rFf/YotP/tZhu+8c6tDUYusseWWrLX99q0OQ+rTvO1QktRoJrOAiNgU+A6wNxDA1cBJmfloSwOTepF+AwbAgPp85Ky+6absedttPH3llbz0+ON12Wd7nrv1Vh4bP76hx1B9PfCNb7Q6BLXQlqedxnbf/Garw5B6PRNWkqRW6vPJrIgYAlwDLAA+ACRwNjApIl6bmfNaGZ+k2gYOG8bGRxzRlGNtdPjhPHTeecx/tHvnt+c9+GCrQ5AkSZKkhuvzySzgw8BoYOvMfAAgIqYC9wMfAb7dwtgkdQMbHnwwGx58cKvDWKkFTz/NDfvsw5zbbmt1KJIkLaNWTy4HhZckrSqTWXAwcGNbIgsgM6dHxPXAIZjMktRDDF5/ffa45RbmTJ3KwpkzWx1Oc2RygzM2SlKP5EyHkqRVZTILtgMm1CifBhze5FgkqUuif3+Gvf71rQ6jqfafPZsHzzuP56dOJZcubXU4arE1t9uu1SFI6qLKXlwmuiRJtZjMguHA7Brls4B1am0QEccDxwOMGjWqcZFJklZq4LBhvObMM1sdhiRJkqQm6dfqAHqizLwwM8dk5pgRI0a0OhxJkiRJkqQ+w55ZRa+sWj2w2uuxJUmSJKnOag0S39V9eZuiJPVO9swqxsaqNcDGtsBdTY5FkiRJUidMiOhUIqyz9SVJ3Y89s+BS4H8iYnRmPgQQEZsBbwH+XwvjkiRJknq9jiSWatXpTK+rRiSv7P0lSa1jMgt+ApwATIiILwAJfAWYAfy4lYFJkiRJfVlXk1Ar2t5klCT1XH0+mZWZ8yJiHPAd4FdAAH8HTsrMF1oanCRJkqRupTpBVvm8I4kxk2iS1HV9PpkFkJmPAoe2Og5JkiRJHVPvWwdrJaWanXiqPl5nE2WS1FeYzJIkSZLUZzVyMHh7YUlSY5jMkiRJUtNFxKYUwzzsTTHMw9UUwzw82tLA1GM1IynV0XpdTV519rW016OrMo6elljrafFKai6TWZIkSWqqiBgCXAMsAD5AMQHP2cCkiHhtZs5rZXxSV61oXK1WxqHm81ZRqTFMZkmSJKnZPgyMBrbOzAcAImIqcD/wEeDbLYxNamoSqLO9vtqsamKk1vFWtK8V9ZDqTO+pzh63I/vpaht0ZvuOjqlmjzKpOUxmSZIkqdkOBm5sS2QBZOb0iLgeOASTWeoDGpEw66k9seqVMOvq8Rt9nJ6ko23S6nOnvstkliRJkpptO2BCjfJpwOFNjkXqkeqZuOrIvlZUZ1Vj6ertmF1tg3q9plp1O1rWGdVJoRX1dltRT7JV1ZHkVEfatFZPthVZUaKsVp2O9GJc1e1XpTdiR19vR85ve3U7G0tXe0p2hwSwyawu+s9//vNMRDzSoN2vBzzToH2rYBs3nm3ceLZx49nGzdFd2/lVrQ6gFxoOzK5RPgtYp72NIuJ44Pjy6QsRcW8DYuuu78O+yvPRfbT2XDSr11lHjtOqHnDLHrf2+agVW1fjrd6+s8foyPadOX5n6zRi++XL2v/30dHX25l2WdVz2tV2qud2HdPuNZjJrC7KzBGN2ndE3JKZYxq1f9nGzWAbN55t3Hi2cXPYzlqZzLwQuLCRx/B92L14ProPz0X34vnoXjwfzdev1QFIkiSpz5lN7R5Y7fXYkiRJepnJLEmSJDXbNIpxs6ptC9zV5FgkSVIPYzKre2toN3oBtnEz2MaNZxs3nm3cHLZz33EpsHNEjG4riIjNgLeU61rJ92H34vnoPjwX3Yvno3vxfDRZpNNkSpI0G8FdAAAgAElEQVQkqYkiYg3gdmA+8AUgga8AawKvzcwXWhieJEnq5uyZJUmSpKbKzHnAOOA+4FfAJcB0YJyJLEmStDL2zJIkSZIkSVKPYc+sbiYiNo2I/4uIORHxfET8MSJGtTqu7iQixkZE1lieq6q3TkT8NCKeiYh5EXF1ROxQY3+rRcS5EfFERMyPiBsiYvca9fpFxOkR8XBEvBQRt0fEoY18rc0SEZtExPnla3+xbM/NatSre1tFxIcj4p6IWBAR90bER9up946ImFLu75GI+EJE9O/qa2+WTrRxrfd2RsSOVfVs4woRcVhE/KGMe375Os+JiDWr6rXsc6Gj56G76kgbR8RmK3gPD6van22sbiO8/mq4Vn1Oq2MiYmL5WX12Vbnno0kiYv+IuDYiXig/h26JiHEV6z0XTRARb4mIKyPi6YiYGxG3RsSxVXX6/PfHbiEzXbrJAgwB7gfuBN4BHALcATwIrNHq+LrLAoylGFvjk8DOFcuYijoBXAc8BrwH2BeYDDwDbFK1v0uA54APA28D/kgxhseOVfW+CiwATgX2BH4MLAX2b3Wb1KlNnwL+ClxRtu9mNerVta3K/Swt6+8JnF0+/1hVvX2AJRQDK+4JnAK8BHyj1W3XgDZO4KKq9/bOwBDbeIXteyPwO+C9wB7ASeV79UagX1mnZZ8LHT0P3XnpYBtvVr6Hv1bjPdzfNnbpjgtefzWrnVvyOe3SoXPzHuCJ8vP77Ipyz0fzzsFHgEXAd4C9Ka7LPgsc6Llo6nl4bdlWk8r/C/Yurzuy8nqi3tcwLqt4vlodgEvFyYATKb5MbllRtjmwGDil1fF1l4VXkll7raDOIWWdPSvK1gZmAd+rKHtdWe+DFWUDgHuBSyvK1i8/iL5cdZy/A1Nb3SZ1aNN+FX8fR41ES73bqtz2aeDiqno/L/9jHlhRNgWYXFXvDGAhMLLV7VevNi7XLXMh2c6+bOPl22REjbL3l+05rnzeks+FzpyH7rx0sI03K58ft5J92cYu3WbB669mtXPTP6ddOnRe1gGepEiQVCezPB/NOQebUSRCTlpBHc9Fc87F1yiufYdWld8A3NCZNu7oNYzLqi/eZti9HAzcmJkPtBVk5nTgeooPMHXcwcB/M3NSW0FmzgEuY9m2PJjiV5DfVtRbDPwG2CciBpfF+wCDgPFVxxkP7BARm9f9FTRRZi7tQLV6t9UuwIga9X4FrAu8FYpbP4Ad26k3ENivA7G3XAfbuKNs4yqZObNG8c3l48blY6s+Fzp0Hrq7DrZxR9nG6k68/mqCFn1Oa+W+AdyZmf9bY53nozmOpeit86MV1PFcNMcgivabX1U+h1eGaPL7YzdhMqt72Y6ii3u1acC2TY6lJ7gkIpZExLMR8euqsS1W1JajImJoRb3pmflijXqDgC0r6i0AHqhRD/rG+al3W21XPlafpw7VK79ovEjvbPuPlWP+vBgR10TEblXrbeOO2aN8vLt8bNXnQkfPQ09U3cZtzomIxeX4Q5fWGNPDNlZ34vVX6zT6c1orEBFvpegd94l2qng+muOtwD3AuyPiwfL/zwciovK8eC6a4xfl4/ciYqOIGBYRbbcSfqdc5/fHbsJkVvcyHJhdo3wWRRdgFeYA36K4VWsc8BVgL+CGiFi/rLOitoRX2nNl9YZXPD6XWfQNXUG93qzebdX2WL3PjtZrK+ttbT8e+DjFe/p4il4l10TE2Io6tvFKRMTGwFnA1Zl5S1ncqs+Fjp6HHqWdNl5AMR7ERyjGhjgV2AH4V0RsU7G5bazuxOuvFmjS57TaERGDKD6v/ycz722nmuejOTYCXg2cC3wdeDtwFXBBRJxY1vFcNEFm3kkxpM0hwOMUbfl94KOZ+Zuymt8fu4kBrQ5A6qzMnEIxvk+byRFxLXAT8CngCy0JTKqDzHxfxdN/RsQEil/izsZbpTqk/HVyAsV4Nx9scTi9UnttnJlPAJUzCP4zIiZS/Ar5eeDoZsYpqXvyc7pb+AywOsUA1WqtfsCawDGZ+cey7JooZr0+PSK+16rA+pqIeDXwB4rrlo9S3G54CPCjiHgpMy9pZXxalj2zupfZ1P4FsL3sr0qZeStwH7BTWbSitmxb35F6syrqDYuIWEm93qzebdV2Dqr32dF6bWW9uu0zcy7wF155b4Nt3K6IWJ1i/IjRwD6Z+VjF6lZ9LnT0PPQIK2nj5WTmDIoZmKrfw7axuguvv5qoyZ/TqqEcmuPzwBeBweWtVMPK1W3P++P5aJZny8erqsqvBDYANsRz0SxfoxgP68DMvDwz/56Zn6KYifW7EdEPvz92GyazupdpvDLuR6VtgbuaHEtP1daNc0Vt+WhmvlBRb/OIGFKj3kJeucd5GjAY2KJGPegb56febdV2v3j1eepQvfLXqiH0jbaHV97bYBvXFBEDgf8DxlBMeXxHVZVWfS509Dx0ex1o4xWpfg/bxuouvP5qkhZ8Tqu20cBqFEMbzK5YoLg9fDbFLeKej+aYtpL1S/FcNMsOwO2Zuaiq/CaKoT/Wx++P3YbJrO7lUmDniBjdVlB+mXxLuU7tiIgxwNYUHzRQtNfGEbFHRZ21gINYti0vo5it7fCKegOAI4ErM3NBWTyRIkv/3qpDH00xA8z0+r2abqvebXUD8Ew79WZRzCJFZj4K3N5OvUXA31b9JXV/5fv2QF55b4NtvJzyl7JLKMbRe0dm3lijWqs+Fzp0Hrq7DrZxre1GUdwiW/keto3VnXj91QQt+pxWbbdRjGtYvUCR4NqT4gu556M5/lQ+7lNVvi/wWGY+ieeiWZ4EdizHlKv0ZuAlimsKvz92F5np0k0WYA2K/zjuoLg392CKL5gPAUNbHV93WSguhM4G3kVxQfRpii8xjwLrlXX6Af8CZgDvpvjP4R8UH0CbVu3vNxS/QB1HMVPF/1F8WL2hqt7Xy/JTKAYG/CHFLyUHtrpN6tSuh5XLDyl6UHysfL5Ho9qK4l70peX5HEsxEOxS4BNV9fYvy39c1ju53P+5rW63erYxxa+hPwGOKl/nB8rPg4XAbrbxCtu2rU3PBnauWjYp67Tsc6Gj56E7Lx1s429RzPZzBMWXoY8CjwDPAVvbxi7dccHrr2a1c0s+p106dY4SOLviueejOe0ewDUUtxt+lGIA+J+U5+MYz0VTz8VhZbtfUf5/8HbggrLs251t445ew7is4vlqdQAuVScERlEMOvc8MBf4M7BZq+PqTgtwOjCVYlbDReWH+oXAhlX1hgM/Lz/kXwT+Dryuxv5WB75NkYl/Cfg3MLZGvf4Ug8s/QjFj11TgsFa3Rx3bNdtZ/tHItqKY9ey+st79wMfbqfcuii8XCygSl2cA/VvdbvVsY4pf166nSM4uoriouRR4k2280rZ9eAXte2ZFvZZ9LnT0PHTXpSNtDBwL3ExxgbeobL9fU5XIso1dutuC11/NaOOWfE67dOocLZPM8nw0te3Xopg17ymKHzGnAkd5LlpyLvajSBTOLP8/uI1ipvH+FXX8/tgNligbWZIkSZIkSer2HDNLkiRJkiRJPYbJLEmSJEmSJPUYJrMkSZIkSZLUY5jMkiRJkiRJUo9hMkuSJEmSJEk9hsksSZIkSZIk9RgmsyRJkiRJktRjmMySJEmSJElSj2EyS5IkSZIkST2GySxJkiRJkiT1GCazJEmSJEmS1GOYzJIkSZIkSVKPYTJLUp8QEcdERFYsCyPiwYj4WkSs1sDjji2Pt1ejjiFJkuqrxnXDvIh4OCL+FBFHRES0OsbupmyzYztYt+36aGyDw+poLGdGRL+q8s3KGI/rwr77RcRtEXFq1yOtv4rXeEwntnlHRDwVEUMbGJq0UiazJPU1hwO7AAcAVwCnA+e2NCJJktRdtV037A98EVgA/C9wVUSs3srAuqFjgA4ls7qZscCXaMx346OBDYEfNGDfrTIBeAI4rdWBqG8zmSWpr7ktM2/MzKsy8+PA1cCx1b/GSZIk8cp1w+TM/FVmvhs4AhgHfLPFsan7OxX4ZWa+2KoAImJwPfeXmQlcCJzQyLsbpJXxy5ukvu5WYAiwHkBEjIiIH0fEfRHxYkTMiIhfR8TGlRuV3dEzIl4dEX+JiBci4pGIOGNlibGIGB0R90fE9RGxTuNemiRJqrfM/ANF75QPR8SQtvKI2DAifhkRz0TEgoiYGhFHV28fEZtHxK8i4smy3kMR8d2K9f+IiH/U2O7hiPhFxfO2WyF3jYjfRcTc8vav08v1+0bElPIWyZsj4o019vmuiLixvOZ5LiJ+HxGjahx3fES8OyLuLvd3S0S8tTJmYA/gLRW3Zi73GlamXvFU1D2prP9SRNxUttXL7RgRZ1L0ygJY1BZ71W76R8RZEfFEGdNlEbFJB17Lm4EdgF9XlL2xPEZl232yLDu7ouzVZdkBFWVvioiry2vOeRHx94h4U9UxfxERj0XELhHxr4iYT5l0jYghEfGDiHi23MelwHKvIyJ2ioirynrzy/dndc+y3wHDgHetrB2kRjGZJamv2wyYAzxbPh8OvERx++G+FF2oXw1c386vT38CrgHeAfwZ+DLwgfYOFhGvB/4F3A3slZmz6/IqJElSM/0VGAyMAYiINYDJwH7A5yiuC+4AfhURx7dtFBGbAzcBuwNnUFxrfJnyR7VVdHF5rHdSXIt8LSK+QTGMwjeAI4E1gD9HxKCKWD4K/AG4CzgM+AiwPTA5ItasOsZuwKcpbrU8EugPXB4Rw8r1HwemAFMpbsvcpSzrsDrHQxRjXX2Hohf+IcAvKBJLwyr281PgZ+Xfb62IvdLpwJYUt1CeWK4f34GXtC8wF7i9omwK8BxFz74244D5NcoWA9eWr+W1FO+vdShu53w/sBZF27yu6rhrA7+huB12P15Jpv0YOA74NkUS6t6KdZTHGUoxDMeS8jj7AWcBAyrrZeYzFNey+664CaTGGbDyKpLUq/SPiAHAmhQXfYcCJ2XmEoDMvJfiQgWAiOgPXA88SvEf+p+q9vetzLyo/PvqiBgHvAe4qKoeEfG2cvvfA8e3HVOSJPU4j5aPG5aPH6T48WvPzPxHWfa3iNgAODsiflb+v/9lYHXgdZn534r9XdyFWH6VmV+Bl3tIvRM4BdgqM6eX5f0oepPtQpEAGUqR6LooM18e5yoibqJIcnwIOK/iGGsBO7b9CBcRTwI3U4wl9uvMvCsingcGZOaNnX0B9Y6nfL1fAv6WmcdV7O9JioQZAJn5WEQ8Vj79d2YurhHew5l5VMU+RgDnRsRGVeew2s7AHZm5tOJ4SyPiWmBP4Kwyzj2AHwKfioihmflCuf4/mTm33PQMivHa3paZz5VxXAU8XL7Oyh5SQ4GjM3NCRcxbA0cBn8/Mr5fFV5bt/tGKbV9DkTD7TGZOrSj/RY3XN6V8jVJL2DNLUl9zD7AImEXxS9yPM/OCygoR8bGIuD0iXqD4VaztgnXrGvv7S9XzO4FRNeodTvEr7gWZ+SETWZIk9Whtsxm23ZK2O/B4RSKrzXhgBLBt+fztwOUrSYJ01t/a/iiTMQ8A97Ulskr3lI+blo+7UCSELomIAW0LMKOsu3vVMW6o6k1+R/lY65pnVdQ7nk3K5fdV202guLbrjL9WPe/oa98ImFmj/Bpgl7LH/44UPcW+SZGs2q2ssycwqWKb3SneN8+1FWTm88ClFMmwSouAy6vK3kzx3f93VeW/qXp+P0XPsR9HxNERsSntm0nxGqWWMJklqa95J7ATxS93VwMfj4j3t62MiE9SzDhzNcWvXG/ilV+dat1mOKvq+YJ26h1K0YX8F12IXZIkdQ9tX/KfKB+HV/xd6cmK9QDrAo/VqNcV1UMWLGynDF65Rlm/fLyaIvlRuexQxllpmeudzFxQtb+uqnc8bT3mnq6qtwR4ppOx1brWqzxWe1arqFtpEsUtqrtSJK1uz8yngOuAPSNiO4r2uKZimxW9v6rHX51Z40fTtvZ4qqp8meeZOaeM6b8U18OPRsSdEXFojWPPp37nX+o0bzOU1NfcmZkPAETENRRjO5wbEX/IzHnAu4G/Z+an2zYox7foquMpZrT5R0TsWd7OKEmSeqYDKMbY/E/5fBa1e3CPrFgPRSJl4xr1Kr1E0Uup2vAaZauqbazQY4BpNdbPrVHWSPWOpy3xs35lYTl8RFfGJ+uMZ1k+0QRFz65nKMbFej2vJK2uoZgpcwZF8vH6im1m8cp7qdJIlk9cVg9gD6+0xwbAQxXlG1RXzMzbgEPLnnFjKMYM+11EvC4z76yoOpxXzpvUdPbMktRnlb/inUZxodM2SOkQil8BK32wDod7HtiH4gLiHxGxTR32KUmSmqzspXIw8KPMfLEsngxsEhFvqap+FEXvoLvK51cCB0bEhrTvEWCrqsHad6cY77Ne/kWRINoyM2+psazKj24LKMYD6w7xPFYuh1eVv4PlO3S09Z5a1djbcw8wurowMxP4B7A3xW2Flcms11PcRXBTxXsLivfX/pUD4Zd/H1Tua2X+DSylSJZVend7G2Tm4nL8sy9S5A2qr103pxjPTGoJe2ZJ6tMy89KIuBn4dERcAEwEPhsRn6OYbWgcxYw69TjW3IjYl2KcrUkRMS4z71rZdpIkqWV2jIj1gEEUYyQdSJEguYqix0qbX1BMIPPHiPg8RSLlvRQJi49U3Pb1JYqhDv4VEV+jGN9qY2DfzDy6rPMbih7dP4+IX1AkDU6hmH25LjLz+Yg4Dfh+OaD538r9b0wxBtM/MvPXK9pHDXdRDN9wJPAgMLejSah6x1MOtP5l4CcR8VOKsbNGA/+v3O/Siupt12Kfjoi/AUsy85aOHmsFrgU+GBHrZmZ1D6ZJwPcpZg38Z1k2hSKhtyfFDIKVvkLx3vt7OVNlAp+l+BG2uu5yMvPeiPg1rww6fzPF+G37V9aLiAMp3nt/BqZTzIL5qTKuGyrqBcVQHD9Y2bGlRjGZJUnwBYppiD9KcUEwDDiZYhyAybzSo6rLMvOFiNgfuIwiofW2qi7bkiSp+2gbQPwlih5Wt1L0Zvm/socNAJk5LyL2oBjI++sUvajuBd6XmeMr6j0cETsDZwPnUMw89zjFwORtdSZFxEcphic4lCLJcTQVs/DVQ2b+OCJmUPRSP4riu+HjFMmV21Zhl9+guNXypxSvazIwtlXxZOZPy9n6TqZovzvLx0tZNjF4OUVS5uMUswYGrwzw3xUTKN43B7L8bJVtg7vfUg7kTmYuiYjJFL3+Kgd/JzOnRsRY4KvlvgK4EdgjM2/vYDwfAV6geF8NougJdhTFWF1t7qcYC+uLFONszaVIfO2dmZVjve1KcQtl9QDyUtNExWewJEmSJEm9UkSMoUjOvD8zf9WE4/0C2CQz92r0sZopIn4IbJ+Zu620stQgJrMkSZIkSb1KOYHPJyh6dj1PMebT5ygGV9++akyqRsZwN/DWOt262HIRMZLijoV9M/PaVsejvsvbDCVJkiRJvc18YHvg/RS3xM0Grgb+XzMSWQCZOT0ijqFqVsUebjPg0yay1Gr2zJIkSZIkSVKP0a/VAUiSJEmSJEkdZTJLkiRJkiRJPYbJLEmSJEmSJPUYJrMkSZIkSZLUY5jMkiRJkiRJUo9hMkuSWiwijomILKduliRJUhN4DSb1XCazJDVcRGxWXihcvoI6bRcTpzYztkaJiIcj4h+tjkOSJPVdXoNJ6q1MZkmSJEmSJKnHMJklSZIkSZKkHsNklqRuLyK2iIiLIuKxiFhYPv4gIkbUqHtsRFwaEY9ExIKIeCYiJkTEmBp1Xx4nISIOjYj/RMT8iHgiIs6PiLVrbLNXRFxZ1lkQEU9GxKSIeHcDXneHXktE7Fi+jq9XlR9Xls+oKl87IhZHxJ/rHbMkSeo9vAbzGkzqrga0OgBJWpGI2AWYCKwGXApMB14DfBTYJyJ2ysxZFZt8H5gCXAk8C2wGHFLWHZuZN9Y4zGHA3sDvyu32BE4A3hwRb83MhWUsB5YxPFk+PguMBMaU+/hN/V55p17LVGA2MLZq+z3Lx00iYsvMfKB8vhvQH/hHneOVJEm9hNdgXoNJ3ZnJLEnNtFVEnNnOuh2rCyJiEMXFyRJgx8y8u2Ld4RQXPmdRXPS02TYzp1ftZxvgJuBsYK8axz4A2Csz/17WD+Bi4H3AJ4FvlfWOBRaVsTxddYx1K59n5mbtvM7O6NBrycylEXEtcEBErJmZc8vqY4FrgHEUF1UPVJSDF1KSJPUVXoN1jtdgUjdnMktSM70a+FIn6h8IjAI+W3kRBZCZv4+I/wBHUnEhVX3hUZbdHRGTKH5NG9T2K1+Fq9ouosr6GRFfAI4C3s8rF1JQXEgtqnGMZzvxujqkk6/lHxS/GO4G/DUitgI2Ak4HRlNcSP2krDuW4lfEqfWOWZIkdUteg3WC12BS92cyS1Iz/SUzD6y1IuL/s3f3YXLV9f3/n+9NlmAIK6ARrAjExGq5b6+l1dqKwbaARdASsNagYmv6M959McV+Ka0iaPWrIGrRq7WhFomtaKoCYhAoAVsLlYAmEhWbJdykIjflprmRsEnevz/OWZjMzm7O7s7szGSfj+uaa7LnvOfM+/AH53V9zpnPJ94KfKFu82+U74eNcDfxWcBzI+K5mflIeZx5wF9QBIdfAvao+8xzgAfqtv1b/YEz876IuA84PCKmZeZ24Arg9cCdEfHPFHfcvpuZTzQ6p4ka47ncVL7PB77FM3f+Vpb/PqE85rMp7sB+MzN3tKJvSZLUccxgY2AGkzqfg1mSOtl+5fubd1G3F/BIRLyY4vHvvYEbgK8Dm4AdwOuAo4AZDT7/UINtAA8Cc4BZwBOZeUVEDALvA84ClgDbIuJa4Kya+RAmbBznMjRnw9AcDa8C7s7M+yPiJuDMiHgpMA/napAkSaMzg5nBpI7mYJakTva/5fuJmXlthfr/A+wDvCkz/6l2R0T8BkX4aOR5I2zfnyK4bBrakJlfA75W3l37LeB0iqD30og4rMHj8+M1pnOpmbPhpLK3VwEryt03le+voghStdskSZLqmcHMYFJH62l3A5I0iu+V7y+rWD+3fL+qdmNE7An82iif++36DRFxEMVcEXeWj7fvJDOfyMxrMvMtwJUUAeVXKvZZxXjO5SaKO35vB55P8Xg7mXkfcDfFHcNX4VwNkiRpdGYwM5jU0RzMktTJvgHcD5wdEcPCVEQ8q7xDNuS+8v0VNTUBfJSR7/wB/G5EvLpu2wUUoeSLNcf67YiYVtdDD/Dc8s8nRz+dMRnPudxUvr+/7u+hf/8OxVwN33GuBkmSNAozmBlM6mj+zFBSx8rMreXyzyuA/4iI64AfUfy/6xDgWOAWyok1gb8DzqR4BP0K4AmKO35zKILEq0b4qmsoVp/5CrCB4u7ZbwCrgL+pqfsb4ICI+C5wDxBl7dBknndN9JxrjOdchuZsmA0MZOaGmn03USxrPfRvSZKkhsxgZjCp0/lklqSOlpn/SRFUPkexrPQ7gTMoAsUXgb+qqb2dIlStBk6jmEfhXopH5O8d5WuWUywBfSjFPAlzgM8Cv1M3/8JHge+U/bwDeCuwHXgPcOqETrTOeM6lvNP3nfLPm+p2r6z5d/0+SZKknZjBzGBSJ4vMbHcPktQWNUtRn5mZ/9jebiRJkqYGM5ikifLJLEmSJEmSJHUNB7MkSZIkSZLUNRzMkiRJkiRJUtdwzixJkiRJkiR1jentbqDbPfe5z81DDjmk3W1IkqQWuf322x/JzNnt7kM7M4NJkrR7Gy2DOZg1QYcccgirVq1qdxuSJKlFImK0ZeXVJmYwSZJ2b6NlMOfMkiRJkiRJUtfomMGsiLgpInKE17U1dftGxNKIeCQiNkfEDRFxRIPj7RkRn4iIByLiFxFxS0S8skFdT0ScExH3RMSTEbE6Ik5t9flKkiS1m/lLkiR1o44ZzAIWAy+ve72v3HcVQEQEcDVwAvBu4FSgF1gZEQfWHe9S4O3AB4CTgAeAb0fE0XV1FwDnAZcAJwK3Al+NiNc08dwkSZI6kflLkiR1nY5ezTAiLgUWAs/PzEcj4hTgG8BxmbmyrHk2sB5YlpnvKbcdBfwAeFtmfqHcNh1YC9yVmSeX254H3A98LDM/WPO9/wrMzswjd9Vjf39/Ol+DJEm7r4i4PTP7293HZOmG/AVmMEmSdnejZbBOejJrJxExEzgNuDozHy03nwz8bChIAWTmExR3C0+p+fjJwCBwRU3dNuDLwPERMaPcfDywB7Cs7uuXAUdExJzmnZEkSVJnM39JkqRu0LGDWcDrgb2By2q2HQbc2aB2LXBQRMyqqVufmVsa1O0BzKup2wqsa1AHcOj4WpckSepK5i9JktTxOnkw683AQ8CKmm37AY81qB26c7hvxbr9at4fz+G/tayv20lELIqIVRGx6uGHHx75DCRJkrpLx+YvMINJkqRCRw5mRcQvAb8DfKl8PL2jZObnM7M/M/tnz57d7nYkSZImrNPzF5jBJElSoSMHsygmHe1h50fcobjbt+/w8qfv4D1Wse7Rmrp9ylV6RquTJEna3Zm/JElSV+jUway3AKszc3Xd9rUU8yzUOxS4LzM31dTNKScxra97imfmaFgLzADmNqgD+NE4epckSepG5i9JktQVOm4wKyL6KcJM/V1BgKuAF0TEsTX1fcBry31DrgZ6KVbjGaqbDrwBuC4zt5abr6VYdedNdd+zELgzM9dP7GwkSVKrbB4YYPXixVzT18eVPT1c09fH6sWL2Tww0O7Wuo75S5IkVdUJGWz6pH1TdW8GtgFfarDvKuAWYFlEnE3xmPo5QAAfHyrKzO9HxBXApyKiF1gPvAOYQ01wysyHIuKTwDkRsRG4gyJwHUexvLQkSepAD65YwW0LFrBjcJAcHARg28aN3Lt0KfdfdhnHLF/O/iee2OYuu4r5S5Ik7VKnZLCOGswqg88bgWsz86H6/Zm5IyJOAi4EPgfsSRGu5mfm/XXlZwIfAT4M7IN+O10AACAASURBVAOsBk7IzDvq6s4FNgHvBQ4A7gJOz8xvNu3EJElS02weGOC2BQvYvmXLsH05OMj2wUFuW7CA+WvWsNfc+l+yqZ75S5IkVdFJGSyGr4qssejv789Vq1a1uw1JkqaM1YsXc+/SpU/fDWwkens5eNEijrrkkgl/X0Tcnpn9Ez6QmsoMJknS5OqkDNZxc2ZJkiSNZsOyZaOGKCjuDm64/PJJ6kiSJGn310kZzMEsSZLUVbZt2rTrojHUSZIkadc6KYM5mCVJkrrK9FmzmlonSZKkXeukDOZgliRJ6ioHLlxI9PaOWhO9vRx4xhmT1JEkSdLur5MymINZkiSpq8xbsoSeXQSpnt5e5p111iR1JEmStPvrpAzmYJYkSeoqe82dyzHLlzNt5sxhdwejt5dpM2dyzPLlLV8SWpIkaSrppAzmYJYkSeo6+594IvPXrOHgRYuY3tcHPT1M7+vj4EWLmL9mDfufeGK7W5QkSdrtdEoGi8yclC/aXfX39+eqVava3YYkSWqRiLg9M/vb3Yd2ZgaTJGn3NloG88ksSZIkSZIkdQ0HsyRJkiRJktQ1HMySJEmSJElS13AwS5IkSZIkSV3DwSxJkiRJkiR1DQezJEmSJEmS1DUczJIkSZIkSVLXcDBLkiRJkiRJXcPBLEmSJEmSJHUNB7MkSZIkSZLUNRzMkiRJkiRJUtdwMEuSJEmSJEldw8EsSZIkSZIkdQ0HsyRJkiRJktQ1HMySJEmSJElS13AwS5IkSZIkSV3DwSxJkiRJkiR1DQezJEmSJEmS1DUczJIkSZIkSVLXcDBLkiRJkiRJXcPBLEmSJEmSJHUNB7MkSZIkSZLUNRzMkiRJkiRJUtdwMEuSJEmSJEldw8EsSZIkSZIkdQ0HsyRJkiRJktQ1HMySJEmSJElS13AwS5IkSZIkSV2jowazIuI1EfGdiNgUEf8bEasi4ria/ftGxNKIeCQiNkfEDRFxRIPj7BkRn4iIByLiFxFxS0S8skFdT0ScExH3RMSTEbE6Ik5t9XlKkiR1EjOYJEnqJh0zmBURfwpcCdwOvB44DfgqMLPcH8DVwAnAu4FTgV5gZUQcWHe4S4G3Ax8ATgIeAL4dEUfX1V0AnAdcApwI3Ap8NSJe0+TTkyRJ6khmMEmS1G0iM9vdAxFxCPBj4JzM/NQINacA3wCOy8yV5bZnA+uBZZn5nnLbUcAPgLdl5hfKbdOBtcBdmXlyue15wP3AxzLzgzXf86/A7Mw8skrv/f39uWrVqjGfsyRJ6g4RcXtm9re7j1Ywg0mSpE41WgbrlCez3gbsAP52lJqTgZ8NhSiAzHyC4k7hKXV1g8AVNXXbgC8Dx0fEjHLz8cAewLK671kGHBERc8Z3KpIkSV3DDCZJkrpOpwxm/RbwE+API2IgIrZFxLqIeGdNzWHAnQ0+uxY4KCJm1dStz8wtDer2AObV1G0F1jWoAzh0fKciSZLUNcxgkiSp63TKYNYvAS8GPgF8DPg94Hrgkoh4b1mzH/BYg88+Wr7vW7Fuv5r3x3P47yzr64aJiEXlxKirHn744ZHKJEmSOp0ZTJIkdZ1OGczqAfYG/jQz/z4zb8zMdwDXAueUE492jMz8fGb2Z2b/7Nmz292OJEnSeJnBJElS1+mUwaz/Kd+vr9t+HbA/8HyKO337MtzQ3bvHat5Hq3u0pm6fBiGtvk6SJGl3ZQaTJEldp1MGs9buYv+OsuawBvsOBe7LzE01x5oTETMb1D3FM/MzrAVmAHMb1AH8qELfkiRJ3cwMJkmSuk6nDGZ9vXw/vm77CcCGzPw5cBXwgog4dmhnRPQBry33Dbka6AVOq6mbDrwBuC4zt5abr6VYcedNdd+5ELgzM9dP6IwkSZI6nxlMkiR1nentbqD0LWAl8HcR8Vzgboog9HvAmWXNVcAtwLKIOJviEfVzgAA+PnSgzPx+RFwBfCoieoH1wDuAOdSEpsx8KCI+STEfxEbgDoqwdRzF0tKSJEm7OzOYJEnqOh0xmJWZGRGvAz4KfIhivoWfAG/KzH8qa3ZExEnAhcDngD0pgtX8zLy/7pBnAh8BPgzsA6wGTsjMO+rqzgU2Ae8FDgDuAk7PzG82/ywlSZI6ixlMkiR1oxi+KrLGor+/P1etWtXuNiRJUotExO2Z2d/uPrQzM5gkSbu30TJYp8yZJUmSJEmSJO2Sg1mSJEmSJEnqGg5mSZIkSZIkqWs4mCVJkiRJkqSu4WCWJEmSJEmSuoaDWZIkSZIkSeoaDmZJkiRJkiSpaziYJUmSJEmSpK7hYJYkSZIkSZK6hoNZkiRJkiRJ6hoOZkmSJEmSJKlrOJglSZIkSZKkruFgliRJkiRJkrqGg1mSJEmSJEnqGg5mSZIkSZIkqWs4mCVJkiRJkqSu4WCWJEmSJEmSuoaDWZIkSZIkSeoaDmZJkiRJkiSpaziYJUmSJEmSpK7hYJYkSZIkSZK6RqXBrIg4JSLOrPn74Ii4JSI2RsTyiJjVuhYlSZKmJjOYJEnScFWfzPpLYHbN358EDgQ+D7wSOK+5bUmSJAkzmCRJ0jBVB7PmAmsAIuJZwGuA92XmEuAvgNe3pj1JkqQpzQwmSZJUp+pg1p7AL8p//yYwHbiu/Psu4Jea3JckSZLMYJIkScNUHcy6B/it8t+nALdn5hPl388Dnmj0IUmSJE3IPZjBJEmSdjK9Yt3fARdGxOuBo4F31Ox7OfCjZjcmSZIkM5gkSVK9SoNZmfnpiHgEeBnwmcz8Ys3uvYF/bEFvkiRJU5oZTJIkabiqT2aRmV8CvtRg+582tSNJkiQ9zQwmSZK0s8qDWUMi4nkUk5HuJDPva0pHkiRJGsYMJkmSVKg0mBURfcCngTcAM0Yom9aspiRJkmQGkyRJaqTqk1mfBU4FLgV+CGxtWUeSJEkaYgaTJEmqU3Uw6wTg7Mz8bCubkSRJ0k7MYJIkSXV6xlB7V8u6kCRJ0kjMYJIkSTWqDmZ9GXhtKxuRJEnSMGYwSZKkOlV/Zngd8KmI2Bv4FvBofUFm3tjMxiRJkmQGkyRJqlf1yawrgTnAW4GvADeUr+tr3ickIl4VEdng9Xhd3b4RsTQiHomIzRFxQ0Qc0eB4e0bEJyLigYj4RUTcEhGvbFDXExHnRMQ9EfFkRKyOiFMnej6SJElN0NIMZv6SJEndqOqTWfNb2sXO3gPcVvP3tqF/REQAVwOHAO8GHgPOAVZGxNGZuaHmc5cCvw+cDdwNvBP4dkS8PDN/UFN3AfBnwLnA7cAfAl+NiJMy81tNPjdJkqSxmKwMZv6SJEldo9JgVmbe3OpGavw4M28dYd/JwCuA4zJzJUBE3AKsB95PEcSIiKOAPwLelplfKLfdDKwFzi+PQ0Q8jyJIfSwzLyy/Y2VEzAM+RvE4vyRJUltMYgYzf0mSpK4xltUMiYjnRsRJEfGWiNiv3LZnRIzpOBNwMvCzoSAFkJlPUNwtPKWubhC4oqZuG8UkqsdHxIxy8/HAHsCyuu9ZBhwREXOafgaSJElj1OYMZv6SJEkdpVIAisIngA3AVcA/UDxqDsVcDuc2sacvRcT2iPifiPiniDioZt9hwJ0NPrMWOCgiZtXUrc/MLQ3q9gDm1dRtBdY1qAM4dLwnIUmSNFGTmMHMX5IkqWtUvZt3DvAuikfEfwOImn1XAyc1oZcngIuAPwGOo5hL4XeAW8rH0QH2o5inod7Qyj77Vqzbr+b98czMXdRJkiS1Q6szmPlLkiR1naoTwP8JcH5mfjQiptXtWwfMnWgjmfl94Ps1m26OiO8A36OYi+EvJ/odzRIRi4BFAAcddNAuqiVJksatpRmsm/IXmMEkSVKh6pNZLwBGmhT0KWCv5rSzs8y8A/gpcEy56TGeuftXa7+a/VXqHq2p26dcpWe0uvq+Pp+Z/ZnZP3v27NFPQpIkafwmPYN1av4qezODSZKkyoNZ/w0cPsK+oyhWs2mlocfQ11LMs1DvUOC+zNxUUzcnImY2qHuKZ+ZoWAvMYPhdzaG5Gn40kaYlSZImqJ0ZzPwlSZI6UtXBrK8CH4iIV9Rsy4j4ZWAJxSo1TRcR/cBLKB51h2Li0xdExLE1NX3Aa8t9Q64GeoHTauqmA28ArsvMreXmaylW3XlT3VcvBO7MzFYP0kmSJI1m0jOY+UuSJHW6qnNmnQf8JvAd4N5y21eBFwL/AXxsoo1ExJco7i7eATwO/CrFpKf/DXymLLsKuAVYFhFnUzymfg7FZKgfHzpWZn4/Iq4APhURveVx3wHMoSY4ZeZDEfFJ4JyI2Fh+9xsoJkA9eaLnJEmSNEHn0cIMZv6SJEndqNJgVmb+IiJeBfwRcDzFY+L/Q7HizZcyc1sTerkTeCPwbmAm8HPga8AHM/ORso8dEXEScCHwOWBPinA1PzPvrzvemcBHgA8D+wCrgRPKeSBqnQtsAt4LHADcBZyemd9swjlJkiSN2yRkMPOXJEnqOjF8VeRxHCRiVs18CVNKf39/rlq1qt1tSJKkFomI2zOzv919NGIGM4NJkrS7Gi2DVZozKyI+M8q+WcC3x9mbJEmSRmAGkyRJGq7qBPBnRsQ59RsjYi+KSTxf2NSuJEmSBGYwSZKkYapOAH8acGVE/DwzvwBQLru8gmJSz1e2qD9JkqSpzAwmSZJUp+oE8NdGxNuBv4+Ih4F/pQhR84BjM3OghT1KkiRNSWYwSZKk4ao+mUVmfjEiDgC+AvwQOBh4VWb+V6uakyRJmurMYJIkSTsbcTArIhrNp3UhcCDwh8CrgZ8O1WXmjpZ0KEmSNIWYwSRJkkY32pNZ24AcYV8AP6j5O3dxLEmSJFVjBpMkSRrFaOHnfEYOUpIkSWoNM5gkSdIoRhzMyszzJrEPSZIkYQaTJEnalUZzMowqImZFxAsjYlYrGpIkSdJwZjBJkqRC5cGsiDg+IlYBjwP3AI9HxPci4ndb1ZwkSdJUZwaTJEnaWaUJQyPieOAaYB1wAfBz4PnAG4BvRcRrMvP6lnUpSZI0BZnBJEmShqu6+s15wHXASbXLP0fE+cA3gQ8BBilJkqTmOg8zmCRJ0k6q/szwKOCztSEKoPz7c8DRzW5MkiRJZjBJkqR6VQeztgJ9I+zbu9wvSZKk5jKDSZIk1ak6mHUTcEFEzKndGBEHUTz+vrK5bUmSJAkzmCRJ0jBV58z6c+C7wF0RcSvwAHAA8DKKlXX+vDXtSZIkTWlmMEmSpDqVnszKzJ8CRwKfAWYAvwbsCXwaODoz/6tlHUqSJE1RZjBJkqThqj6ZRWY+APxZC3uRJElSHTOYJEnSzio9mRURd0fEUSPsOzwi7m5uW5IkSTKDSZIkDVd1AvhDKB5tb2RP4OCmdCNJkqRah2AGkyRJ2knVwSyAHGF7P8UEpJIkSWo+M5gkSVKNEefMioizgLPKPxO4OiKeqit7FrAf8OXWtCdJkjS1mMEkSZJGN9oE8HcD/1r++y3AKuDhupqtwI+Apc1vTZIkaUoyg0mSJI1ixMGszLwSuBIgIgDOz8z1k9SXJEnSlGQGkyRJGt1oT2Y9LTPPbHUjkiRJ2pkZTJIkabixTAAvSZIkSZIktZWDWZIkSZIkSeoaDmZJkiRJkiSpaziYJUmSJEmSpK7hYJYkSZIkSZK6RuXBrIj41Yj4WkQ8EhHbIuLXyu1/HREntK5FSZKkqcsMJkmStLNKg1kR8VvALcBLgX+q+9wO4P9rfmuSJElTmxlMkiRpuKpPZn0M+DZwGPC+un13AL/WzKYkSZIEmMEkSZKGmV6x7teAP8jMjIis2/cIMLu5bUmSJAkzmCRJ0jBVn8x6Epg5wr7nA080px1JkiTVMINJkiTVqTqY9e/A/4mIaTXbhu4O/jFwY1O7kiRJEpjBJEmShqk6mPVXFI+5ry7/ncBbImIl8DLgQ81uLCKujYiMiA/Xbd83IpaWK/psjogbIuKIBp/fMyI+EREPRMQvIuKWiHhlg7qeiDgnIu6JiCcjYnVEnNrs85EkSRoHM5gkSVKdSoNZmbkaeCXwIHAuEMC7yt3HZuZdzWwqIt4IHNVgewBXAycA7wZOBXqBlRFxYF35pcDbgQ8AJwEPAN+OiKPr6i4AzgMuAU4EbgW+GhGvadb5SJIkjYcZTJIkabiqE8CTmXcAr46IPYH9gMczc0uzG4qIfYGLgbMolqCudTLwCuC4zFxZ1t8CrAfeD7yn3HYU8EfA2zLzC+W2m4G1wPnlcYiI5wF/BnwsMy8sv2NlRMyjWD3oW80+P0mSpLEwg0mSJO2s6s8Mn5aZT2bmz1oRokr/D7gzM/+5wb6TgZ8Nhaiynyco7hSeUlc3CFxRU7cN+DJwfETMKDcfD+wBLKv7nmXAERExZ4LnIkmS1BRmMEmSpEKlJ7Mi4gO7KMnMvGCizUTEbwFvpsHj7aXDgDsbbF8LvDkiZmXmprJufYOwt5YiOM0r/30YsBVY16AO4FCKO46SJEmTzgwmSZI0XNWfGZ43yr6hFXUmFKQiYg/g74ALR5n/YT/gngbbHy3f9wU2lXWPjVK3X83745mZu6ir73URsAjgoIMOGqFVSZKkCTtvlH1mMEmSNCVVnQC+p/4FPBd4K8VdunlN6OX9wLOAjzThWC2VmZ/PzP7M7J89e3a725EkSbspM9jOzGCSJAnGMAF8vcx8FPhiRDwH+Cww7pVnIuIgihV6/gSYUTOfAuXf+wAbKe707dvgEEN37x6reT94lLpHa+r2iYiouzNYXydJktQRzGCSJGmqG/ME8A0MLRk9ES8C9qSY9POxmhcUK908BhzBM3Ms1DsUuK+cq4Gybk5EzGxQ9xTPzM+wFpgBzG1QB/Cj8ZyMJEnSJDCDSZKkKakZg1knAQ9P8Bg/AOY3eEERruZThJ+rgBdExLFDH4yIPuC15b4hVwO9wGk1ddOBNwDXZebWcvO1FCvuvKmun4UUq/k48agkSepUZjBJkjQlVV3N8B8abN4DOJzibt0HJ9JEZj4O3NTgewHuzcybyr+vAm4BlkXE2RR3C88BAvh4zfG+HxFXAJ+KiF6K1XDeAcyhJjRl5kMR8UngnIjYCNxBEbaOo1haWpIkqW3MYJIkScNVnTPrOJ5ZMWfIk8C9wKeAy5rZ1Egyc0dEnARcCHyO4rH4W4D5mXl/XfmZFBOZfhjYh+JR/BMy8466unMpVt95L3AAcBdwemZ+s2UnIkmSVI0ZTJIkqU4MXxFZY9Hf35+rVq1qdxuSJKlFIuL2zOxvdx/amRlMkqTd22gZrBlzZkmSJEmSJEmTouqcWWNaKSczvzO+diRJkjTEDCZJkjRc1TmzbmL4fA21otw/9D5tYm1JkiQJM5gkSdIwVQezXg/8DXAn8GXgQWB/4I3AYcA7gf9tRYOSJElTmBlMkiSpzlgGs67LzD+p2/7FiLgU+IPMPLO5rUmSJE15ZjBJkqQ6VSeAPwW4YoR9V5T7JUmS1FxmMEmSpDpVB7N6gHkj7Hsxzs8gSZLUCmYwSZKkOlUHs64BPhoRp0XENICImBYRpwMfBr7ZqgYlSZKmMDOYJElSnapzZr0HeCHF4+zbIuIxYN/y8/9e7pckSVJzmcEkSZLqVBrMysxHgN+OiN8FXgY8H3gAuCUzb2hhf5IkSVOWGUySJGm4qk9mAZCZ1wPXt6gXSZIkNWAGkyRJekbVObMkSZIkSZKkthtxMCsitkfEr5f/3lH+PdJr2+S1LEmStPsyg0mSJI1utJ8Zng9sqPl3tr4dSZKkKc8MJkmSNIoRB7My80M1/z5vUrqRJEma4sxgkiRJo3POLEmSJEmSJHWNyqsZRsSLgNOBg4A963ZnZv5xMxuTJEmSGUySJKlepcGsiHgd8BWKJ7keArbWlTiXgyRJUpOZwSRJkoar+mTWBcBNwJsy8+HWtSNJkqQaZjBJkqQ6VQezXgQsMURJkiRNKjOYJElSnaoTwP8EeE4rG5EkSdIwZjBJkqQ6VQez3g/8RTkBqSRJkiaHGUySJKlO1Z8ZnkdxV/DHEfFfwKN1+zMzj21mY5IkSTKDSZIk1as6mLUduKuVjUiSJGkYM5gkSVKdSoNZmfmqFvchSZKkOmYwSZKk4arOmSVJkiRJkiS1XaUnsyLilbuqyczvTLwdSZIkDTGDSZIkDVd1zqybgNxFzbSJtSJJkqQ6N2EGkyRJ2knVwaz5DbY9BzgJOBZ4V9M6kiRJ0hAzmCRJUp2qE8DfPMKur0XExcBrgRVN60qSJElmMEmSpAaaMQH8NcDpTTiOJEmSqjODSZKkKakZg1kvAXY04TiSJEmqzgwmSZKmpKqrGb65weY9gMOBPwa+1symJEmSZAaTJElqpOoE8P84wvatwBXAe5vSjSRJkmr94wjbzWCSJGnKqjqYNafBticz88FmNiNJkqSdmMEkSZLqVF3N8N5WNyJJkqSdmcEkSZKGa8YE8E0REcdHxI0R8fOI2BoRGyLiKxFxaF3dCyNieUQ8ERH/GxFfi4iDGhxv34hYGhGPRMTmiLghIo5oULdnRHwiIh6IiF9ExC0R8cpWnqskSVInMH9JkqRu1DGDWcB+wO3Au4DfA84BDgNujYiDASJiJnAj8FLgLcAZwIuBlRGx19CBIiKAq4ETgHcDpwK9Zd2Bdd97KfB24APAScADwLcj4ujWnKYkSVLHMH9JkqSuU3XOrJbLzH8G/rl2W0R8D/gJsAC4iCL0vAh4SWauK2vWAP8F/CnwyfKjJwOvAI7LzJVl3S3AeuD9wHvKbUcBfwS8LTO/UG67GVgLnF8eR5Ikabdk/pIkSd2ok57MauR/yvdt5fvJwK1DQQogM9cD3wVOqfncycDPhoJUWfcExd3C+rpBitWAhuq2AV8Gjo+IGc07FUmSpK5g/pIkSR1txMGsci6EeeW/3xwRz5mMhiJiWkTsEREvBv4O+DnP3DE8DLizwcfWArVzO4xWd1BEzKqpW5+ZWxrU7QHMG99ZSJIkjU87Mpj5S5IkdZPRnsw6hWIeBYAvAHNb3w4A/wlsBX4KHEnxqPpD5b79gMcafOZRYN+av0ero6Z2V3X7NdgnSZLUSu3IYOYvSZLUNUYbzHoQeHn57wCy9e0AxaSiL6OYS+F/gesj4pBJ+u5KImJRRKyKiFUPP/xwu9uRJEm7l3ZksI7PX2AGkyRJhdEGs74CXBwR2ylC1K0RsX2E17ZRjjMmmfnjzPzPckLSVwOzgP9b7n6Mne8ADqm/wzdaHTW1u6p7tME+MvPzmdmfmf2zZ88e8VwkSZLGYdIzWDfkr7JPM5gkSRp1NcOzKCb2PBT4IPCPwH9PQk9Py8zHI2Idz8ydsJZinoV6hwI/qvl7LcXy0o3q7svMTTV1r4+ImXXzNhwKPAWsqz+AJElSi7U1g5m/JElSpxtxMCszE/gqQES8Ffh0Zq6epL4ov3d/4KXAl8pNVwEXRsSLMvPusuYQimWg/2/NR68CzoyIYzPz5rKuD3gt8E81dVcDHwJOAy4r66YDbwCuy8ytrTkzSZKkxtqdwcxfkiSp0432ZNbTMnNOqxuJiK8DdwBrKOZq+GWKO5PbgIvKsr8H3gVcGRF/SfHo/QXA/RQr7wy5CrgFWBYRZ1M8zn4OxbwTHx8qyszvR8QVwKciohdYD7wDmAO8qTVnKkmSVE2rM5j5S5IkdaPR5szaSUQ8PyIujIjbImKgfP94RBzQpF5uBV5HcYfuGuB9wM3A0Zn5U4DM3AwcR7HSzuUUdwzXU6y4M/ToOpm5AzgJuB74HPB1YDswPzPvr/veMylWCvpw+b0vBE7IzDuadF6SJEnj1uIMZv6SJEldJ4on2XdRFPHLwL8D+1DM4fBz4ADgNynuuv12Zv5XC/vsWP39/blq1ap2tyFJklokIm7PzP42fbcZbARmMEmSdm+jZbBKPzME/h/wBPDrmXlPzYEPBq4r9//BBPuUJEnSzsxgkiRJdar+zHA+8Fe1IQogM+8Fziv3S5IkqbnMYJIkSXWqDmbtAWwcYd/Gcr8kSZKaywwmSZJUp+pg1g+Ad0fETvUREcDicr8kSZKaywwmSZJUp+qcWecD3wR+XC6l/ADF5KOnAS8Gfr817UmSJE1pZjBJkqQ6lQazMvPaiDiJYvnkc4EAErgdOCkzr2tdi5IkSVOTGUySJGm4qk9mkZnXAtdGxExgX+CxzNzSss4kSZJkBpMkSapTeTBrSBmeDFCSJEmTyAwmSZJUqDoBvCRJkiRJktR2DmZJkiRJkiSpaziYJUmSJEmSpK7hYJYkSZIkSZK6xi4HsyJij4i4IyJ+bzIakiRJkhlMkiRpJLsczMrMp4A5wLbWtyNJkiQwg0mSJI2k6s8Mrwe8KyhJkjS5zGCSJEl1ples+xtgWURMB74BPABkbUFm3t3k3iRJkqY6M5gkSVKdqoNZN5fv7wPOGqFm2sTbkSRJUg0zmCRJUp2qg1lntrQLSZIkNWIGkyRJqlNpMCszL2t1I5IkSdqZGUySJGm4qhPAAxARPRFxeEQcGxF7taopSZIkPcMMJkmS9IzKg1kR8U7g58Aa4EbgJeX2b0TEe1rTniRJ0tRmBpMkSdpZpcGsiHg78GmKVXROB6Jm978Bpza/NUmSpKnNDCZJkjRc1Sez3gdclJmLgK/X7fsJ5R1CSZIkNZUZTJIkqU7Vwaw5wLdH2LcZ2Kc57UhT0+aBAVYvXsw1fX1c2dPDNX19rF68mM0DA+1uTZLUXmYwaRKZySSpO1QdzHoEOGSEfS8B/rsp3UhT0IMrVrDyyCO5d+lStm3cCJls27iRe5cuZeWRR/LgihXtblGS1D5mMGmSmMkkqXtUHcz6JvCBiHhRzbaMiOcCZ1HM4yBpjDYPDHDbggVs37KFHBzcaV8ODrJ9yxZuW7DAu4GSNHWZwaRJYCaTpO5SdTDrL4GtwJ3ADUACnwF+DGwHzm9Jd9Jubt1FF7GjLjDV2zE4yLqLL56kjiRJHcYMJk0CM5kkdZdKg1mZ+QjQD3wU6AUGas3d+QAAIABJREFUgOnAJcDLM/OJlnUo7cY2LFs27O5fvRwcZMPll09SR5KkTmIGkyaHmUySusv0qoWZuRG4oHxJaoJtmzY1tU6StPsxg0mtZyaTpO5SeTALICL6gMOBFwAbgDvLgCVpHKbPmlVMMFqhTpI0dZnBpNYyk0lSd6k6ZxYR8QHgfuDfgCuA7wIbIuIvW9SbtNs7cOFCord31Jro7eXAM86YpI4kSZ3GDCa1nplMkrpLpcGsiPgQcB5FgPpd4Ajgd4CvAB+KiPNa1J+0W5u3ZAk9uwhOPb29zDvrrEnqSJLUScxg0uQwk0lSd6n6ZNbbgYsyc1Fm3piZa8v3twMXA4ta16K0+9pr7lyOWb6caTNnDrsbGL29TJs5k2OWL2evuXPb1KEkqc3MYNIkMJNJUnepOpj1bODbI+y7ttwvaRz2P/FE5q9Zw8GLFjG9rw96epje18fBixYxf80a9j/xxHa3uFvZPDDA6sWLuaavjyt7erimr4/VixezeWCg3a1JUiNmME0Z7b5Gm8kkqXtEZu66KOJG4PrM/GiDfecAv5uZx7Wgv47X39+fq1atancbkip4cMUKbluwgB2Dgzstvx29vfT09nLM8uUGVUnDRMTtmdnfpu82g43ADLZ78RotSao3WgYbcTXDiKh9aus9wNcjYhvwVeBBYH/gdOBtwCnNa1eSmm/zwAC3LVjA9i1bhu3LwUG2Dw5y24IFzF+zxp8QSGorM5imGq/RkqSxGu1nhtuAwfK1GpgLfAwYADaV7x8tt69pbZuSNDHrLrqIHTV3ehvZMTjIuosvnqSOJGlEZjBNKV6jJUljNeKTWcD5wK5/g9gEEbEAeCPQDzwPuA/4GvDXmbmxpm5f4BPA64BnAbcAZ2XmD+uOtydwAbAQ2Af4AfDnmfmduroe4M+BPwUOAO4Czs/Mf2nBaUpqow3Llu30s4VGcnCQDZdfzlGXXDJJXUlSQ2YwTSleoyVJYzXiYFZmnjeJffwZRXj6C2AD8KsUy1DPj4jfzMwdERHA1cAhwLuBx4BzgJURcXRmbqg53qXA7wNnA3cD7wS+HREvz8wf1NRdUH73ucDtwB8CX42IkzLzW606WUmTb9umTU2tk6RWMYOZwaYar9GSpLEa7cmsyfTazHy45u+bI+JR4DLgVcCNwMnAK4DjMnMlQETcAqwH3k8xpwQRcRTwR8DbMvML5babgbUUdzpPLrc9jyJEfSwzLyy/d2VEzKN4lN8gJXWAzQMDrLvoIjYsW8a2TZuYPmsWBy5cyLwlS8Y0b8b0WbPYtnFjpTpJmkLMYGq6sV67vUZLksZqtDmzdhIRvxIRfxURn4+IL9a9LptIE3Uhasht5fsLyveTgZ8Nhajyc09Q3Cmsnfz0ZIo5Jq6oqdsGfBk4PiJmlJuPB/YAltV97zLgiIiYM76zkdQsD65Ywcojj+TepUuLkJvJto0buXfpUlYeeSQPrlhR+VgHLlxI9PaOWhO9vRx4xhkTbVuSmsoMpm4ynmu312hJ0lhVGsyKiDcDPwQ+QPHo+G83eDXbseX7j8v3w4A7G9StBQ6KiFk1deszs345lLUUwWleTd1WYF2DOoBDx9m3pCaoXdmofh6NHBxk+5Yt3LZgAZsHBiodb96SJfTsIij39PYy76yzxt2zJDWbGUzdZLzXbq/RkqSxqvpk1l8BVwKzM/MFmTmn7vWiZjYVES+geBz9hsxcVW7ej2KOhnqPlu/7Vqzbr+b98cysn2C1vq5Rf4siYlVErHr44UY3NCVNVLNXNtpr7lyOWb6caTNnDrv7G729TJs5k2OWL3fJb0mdxgy2c39msA423mu312hJ0lhVHcw6APhcZj7eymYAyrt7V1IsS31mq79vPDLz85nZn5n9s2fPbnc70m5pLCsbVbX/iScyf80aDl60iOl9fdDTw/S+Pg5etIj5a9aw/4knTrRtSWo2M1gNM1hnm8i122u0JGksqk4A/13gV4B/bWEvRMSzKOZfeBFwbN3qOI/xzJ2/WvvV7B96P3iUukdr6vaJiKi7M1hfJ6kNWrWy0V5z53LUJZe4tLekbmEGU9eY6LXba7QkqaqqT2a9C1gUEW+MiOdERE/9a6KNREQvsBzoB16TmT+sK1lLMcdCvUOB+zJzU03dnIiY2aDuKZ6Zn2EtMAOof155aJ6GH435JCQ1TdUVi1zZSNJuzgymruG1W5I0WaoGoA3A9ylWmXmIYqWa2tdTE2miDGJfAo4DXpeZtzYouwp4QUQcW/O5PuC15b4hVwO9wGk1ddOBNwDXZebWcvO1Ze9vqvuehcCdmbl+IuckaWJc2UiSADOYuojXbknSZKn6M8O/pwgi3wB+wgSDUwOfpQg+HwE2R8TLavZtKB91vwq4BVgWEWdTPKJ+DhDAx4eKM/P7EXEF8KnyTuN64B3AHGpCU2Y+FBGfBM6JiI3AHeU5HkextLSkNpq3ZAn3X3YZ20eZe8OVjSRNAWYwdQ2v3ZKkyVJ1MOsU4OzM/HSL+hia0fHc8lXrQ8B5mbkjIk4CLgQ+B+xJEazmZ+b9dZ85kyKUfRjYB1gNnJCZd9TVnQtsAt5LMcHqXcDpmfnNppyVtJvZPDDAuosuYsOyZWzbtInps2Zx4MKFzFuypOkrDA2tbHTbggXsGBzcaULZ6O2lp7fXlY0kTQVmME268V7vvXZLkiZLDF8VuUFRxAPAmzPz+ta31F36+/tz1apVuy6UutyDK1bsMpy2YqWhzQMDrLv4YjZcfvkzgfqMM5h31lmGYUmTIiJuz8z+Nn23GWwEZrDWaMb13mu3JKkZRstgVQez/hp4fmZ25DLN7WSQ0lSweWCAlUceyfYtW0asmTZzJvPXrDGkStrttHkwyww2AjNY83m9lyR1ktEyWNWfGd4LvDEirqeYtPOx+oLM/Ifxtyipk6276CJ2jDL/BcCOwUHWXXyxy2lLUnOZwTRpvN5LkrpF1SezduyiJDNzWnNa6i7eFdRUcE1fH9s2btxl3fS+Pn7/iScmoSNJmjxtfjLLDDYCM1jzeb2XJHWSZjyZNaeJ/UjqMts2bWpq3XhN5gT0ktQhzGCaNOO93nt9liRNtkqDWZl5b6sbkdS5ps+aVe1O7axZLeuh0YS02zZu5N6lS7n/sstaNgG9JLWTGUyTaTzXe6/PkqR26Gl3A5I634ELFxK9vaPWRG8vB55xRku+f/PAALctWMD2LVt2WlkJIAcH2b5lC7ctWMDmgYGWfL8kSVPBWK/3Xp8lSe1SaTArItZHxN2jvVrdqKT2mbdkCT27CLc9vb3MO+uslnz/WCaklaTdiRlMk2ms13uvz5Kkdqn6ZNbNDV53An3lMW5qRXOSOsNec+dyzPLlTJs5c9gd2+jtZdrMmRyzfHnL5sXYsGzZsDu+9XJwkA2XX96S75ekNjKDadKM9Xrv9VmS1C5V58x6a6PtEbEPxTLRNzSxJ0kdaP8TT2T+mjWsu/hiNlx++TMTvJ5xBvPOOqulE7x2ygT0kjTZzGCabGO53nt9liS1S2TmxA4QcSrwkcx8aXNa6i4uCy21nkuFS2qn0ZaFbiczmBms3bw+S5JaabQM1owJ4J8EDmzCcSSpoXZPQC9JHcoMprby+ixJapdxD2ZFxPSIOBo4D1jbtI4kqU67J6CXpE5iBlOn8PosSWqXqqsZ7oiI7bUvYCtwOzAP8AolqWXaPQG9JLWLGUydzOuzJKldKk0AD5wP1E+u9SRwL7AiM/0RvKSm2zwwwE8++EH++ytfeWa1pAiit5fcto3pe+89KRPQS1IbmcHU0RpNGD9tzz3pmTGDwcce49bXvAaAvQ87jCM+8xlmH3dcmzuWJO0Oqq5meF6L+5A0BWweGGDdRRexYdmyZ1ZHWriQeUuWDBuMenDFCr73+tezY+vWnQ+SSQ4O0jNjBv1f/jL7n3jiJJ6BJE0uM5i6wV5z5xY/Jdyxg/suvZTtW7awfcuWnWo2rl3Lf7z61bzkQx/ipR/4QJs6lSTtLpoxAbykFtg8MMDqxYu5pq+PK3t6uKavj9WLF7N5YKDdrY3LgytWsPLII7l36dJi5aNMtm3cyL1Ll7LyyCN5cMWKp2s3DwzwvVNPHT6QVWPH1q187w/+oGv/e0iS1CqTnSGGrvH3fP7z7HjqqVFr7/rgB3n4xhtb0ockaeqIzPon18sdEWO6ZZKZ5zeloy7jstBqhQdXrOC2BQvYMTj4zM/rKOaf6Ont5Zjly1v6RNJYnqCqeryVRx457C5trWkzZzJ/zRr2mjuX1YsXc8/f/i2M8P+np0VwyOLFHHXJJWPuSZKqGm1Z6BZ9nxmsAjNYYxPNEGPNAFWu8fX2PvxwjvvhD8d2YpKkKWe0DDbaYNaOCsd++sOZOW187XU3g5SabawDP83WioG01YsXc+/SpTsdr1709nLwokUcdcklXNPXVzy9VcH0vj5+/wmnjJHUOm0YzDKDVWAGG26iGWI8GaDKNb6RU3Z1w0qSNOWNlsFG+5lh7y5exwDXAQGsa2bDUqt18k/41l10ETt2EQh3DA6y7uKLm/7dmwcGuG3BArZv2TIslObgINu3bOG2BQvG/N9pw7Jluwy5OTjIhssvB2Dbpk2Vjz2WWknqEmYwjSurTCRDjDcDVLnGS5LUbCMOZmXm9kYv4EXAMuA/gUOBReW71BXGMndTO4xl4KfZg3KtGkirOuA0VDd91qzKxx5LrSR1AzOYxptVqmaI+y+7bFh++M9TTmH7Lua7apQBvKkkSWqHyhPAR8QLI2IpsBY4Dvgz4MWZubQMWFLHa9WTR81UeeBn48amD8qN9QmqqqoOOA3VHbhwIUTs+gMRHHjGGWPqRZK6jRlsaplIVqmaIbZv2jQsP2xcuxa2bRv1c40ywHhuKu19+OFj/owkSbV2OZgVEbMj4tPAT4FTgfOBF2XmpzJz9Ns3Uodpx0/4xvr0VOVQmNn0QbmxPkFV1YELFxK9vaPWRG/v0wNT85YsoWfPPXd53J4ZM4qlwCVpN2QGm5rGmlVqc8YuF06pMd6fBtZngCrX+HpHfPrT4/puSZKGjDiYFRHPjoi/Bu4G/hj4NEWA+nBmbp6sBqVmatWTRyMZz88EKoXCiF0+uTSeQbmxPkFV1bwlS+jZxTn19PY+PTC119y5/Pq//As9M/7/9u48To6q3vv45zcznYTJMBfQEJBAAomgLIlLQFC2BBUDgaDE5UKiiJBAuIoY76M898rixe36xHjvzRWQXEQyIsIIhsVckCy4sEaWkLDEjAQSxLCHzGSb5Tx/nOpMTU1Pd/VM91T1zPf9etWr09Wnq06fqnT/5lenzhnac/mhQznqttvKMgi+iEiSFIMNbsXEKt3ijH4QjQHi/MaHHXLllYyYPLnU1RIRkUEmX8+s54FvAH8ETgZ+CuxpZgflWvqjsiJ9Va6eR7n09jaBWEGhcwWvvvYmKVdsD6q4ho8dy5GNjVTX1nbbvmUyVNfWcmRjY5fE1MgpU5i8Zg2jzj4bGzKkS/n9Zsxg8po1Rc+qKCJSIRSDDWLFDDfQU5xRLrligHy/8WG7H344H166lPdcdlm5qykiIoOAuR7+II5MC12wz7KmhZZKcHd9fawrlzX19Zy6eXOf9hVnqmrLZBg9axYTFizosr7Q1Njt27bFu5Wgqopp7fGHU+nrlN5xtr9u/nw2LlpEW3MzNXV1jJo5k3GXXKIeViKSWvmmhS7T/hSDxTBQY7C4sUo2cRQ3kWWZTJ+TXvliAP3Gi4hIqeWLwfIls75QzE6ccz/vRd0q3kANpAaqOAmmrJrdd2fUjBmMmzu3V0FYXxNn+YLCFe9/f9mScoUSaUc2NqpHlIgMKgkksxSDxTBQY7DYsUpVFXR05C8TqKmvZ9TMmWy44QbaW4q/U1UxgIiIJKFXySyJZ6AGUgNVnJ5HYX0J3hZXVZWl9xSUPymnq6siIp36O5kl8QzUGKzYWKWgUJwRO34ww2pqcG1tPo5QDCAiIglQMquMBmogNZD11PMon97cWhe3ZxYAZj5hFDPp1J9JORGRwU7JrHQayDHYrlhl505cW1uftmWZDCc98wzDx44tKn5Q7CAiIknLF4PlGwBeZEAaOWUKk1atYvSsWdTU18d6T5yZAcNTYy+uqqJ9+/aCMw7uEmOWw7C4g63u2nyeAedFREQkXbKxSt0hh/R5W66tbVdsUUz8oNhBRETSTMksGZSGjx3LhAULOHXzZmp2371g+UIzA3abGts53+uryJ6PxQSO5UrKiYiISPKGjx3Lthdf7PuGnOsSW4TjhzgXxBQ7iIhIGimZJYNe7CmweyjX0tRU8qmx4waOpU7KiYiISHrEjVHiCMcW2fihetiwgu9T7CAiImmkZJYMejV1dX0qt27ePDriDKQ6ZIifeSiG3gSOfU3KiYiISLrEjVHiyBVbKHYQEZFKpWSWpF50LKq76+t5cs6cko3fMGrGjILd7C2TYdTMmTlf29jQULhHlnNUDxvmZxOKOY5WsYFjX5NyIiIiUn7FxDVxYpRiRGMLxQ4iIlKplMySVMs1FlUxA6Vn5Qscx82dS1WBQLEqk2HcJZfkfK3Yq5rlChz7mpQTERGR8ioU17xw/fVd4pUNN96I6+go2f6jsYViBxERqVRKZklq5RuLqpiB0nsKHNdffTX3jRvH8iOO4B2TJlE1bFi3gM4yGaprazmysZHhY8fm3H5VjPEmoDOALFfg2NeknIiIiJRPnLjmiS99iReuu25XvNLe0lL0ZDI9yRVbKHYQEZFKpWSWpFacsagKDZQeZ3D29m3bePWee8CMESef7GcGrKqipr6e0bNmMWnVKkZOmdLj9uMO+t6+bduuq6yFAtPeBI75ptuOk5QTERGR8ok1xibg2tq6rihRz6xcsYViBxERqVSpSWaZ2Sgz+y8ze9DMtpqZM7MxOcoNM7MfmtnLZrYtKH98jnJVZnapma03s+1m9qSZndnDvs83s2fNbIeZPWdmF5T+E0qx4oxFVWig9GICx45t23h92TJOfOwxprW3c+rmzUxYsCBvALdu3ryC2w7XNXuV1WWTWdXVXcr0NXAMT7ddTFJOREQGL8Vg/SPWGJtlUCi2UOwgIiKVKDXJLGAc8BngTeAPecr9D3A+cBkwFXgZuMfM3hcp92/AFcACYArwEHCrmZ0SLmRm5wPXAr8GPgHcCvzEzC7s4+eRPirFDDvFBo6Fenrl3H70Cmoc7e27/lldV1fSwDE73fapmzfHTsqJiMigphisH/TnjIDFxhaKHUREpNKYK9F9+H1lZlXOuY7g3+cB1wEHOufWh8pMAJ4AznXO/SxYVwOsAZ5zzp0erNsb2AB83zl3eej9S4ERzrnxoff+DVjinPtCqNz1wOnAvs65vJmQiRMnupUrV/b140sOd9fX+zEjCqipr+fUzZtzvra4qqrosSbyba8U2w+zTIbRs2YxYcGCXm8jjVqamlg3bx4bGxpoa26mpq6OUTNmMG7uXAXGIlJxzOzPzrmJSdejXBSD9Y+4cU0pjLnoosRiC8UAIiJSKvlisNT0zMoGUQWcDrQCvwq9rw24GTjZzIYGq08GhgANkfc3AEeY2YHB82OAETnKLQLeARxbzGeQ0irFQOm9mUq6mCunfZ2qutBtkvkUM7V3fyrVDJQiItI/FIP1jzhxTanEjS1KHUsoBhARkf6SmmRWTIcBzzvntkbWr8EHTuNC5XYA63KUAzg0VA5gdYFykoBiZ9jJFZDtdsABUFNT1H6tujp2UFeKwLQ3tx2kNVgs1QyUIiKSOorB+ihOXFMqcWKLUscSigFERKQ/VVoyay/8eA5Rb4Rezz6+5brfQ5mrHDm2GS3XhZnNMrOVZrby1VdfjVVxKV4xM+z0FJBtefppKHJMK9fa2mUb66+5hmVHHJEzqCtFYFps7640B4ulmIFSRERSSTFYH+WLa6ITwvRVoQtz5YglFAOIiEh/qrRkVio4537qnJvonJs4YsSIpKszoI2cMoUP3XkndQcf3GV93cEH86E772TklCl5A7K+jGcV3kbHtm088slPdgvq8gamZgU3Xeg2yVzSHCyWYgZKERGRnlR6DJadOXC/z3yma9wQmhimFFxbW97eVuWIJRQDiIhIf6q0ZNabwJ451mev3r0RKreHWbdsQq5y5NhmtJwkZNOSJTx82mk0r13bZX3z2rU8fNppbFqyJFZAVlCMxFPHjh08e/nl3db3NKX1qLPOomrYsLzbDN8mGVeag8VSzEApIiKppBisRJrXruXl228v704iF/Oiva3KEUsoBhARkf5UacmsNcCBZlYbWX8osJPO8RnWAEOB6JQp2fEXng6Vg85xG3oqJwmI2wV+w403FgzIujHDhgzZlXiK66Vbb825PteU1h9saOCo226LdZtkMdIcLMa9ZbKvA+eLiEi/UwxWAnl7kxcrOiZonAtzQW+rcsQSigFERKQ/VVoy604gA3w6uyKY2vmzwL3OuR3B6v/Fz7hzduT9M4DVzrnng+cPAq/1UO4N4E8lrb0UJW4X+PaWluI37hzVw4btSjzFvR3R7dxZ1G566rU1etYsJq1axcgpU4quepqDxVLMQCkiIqmkGKwEStKbHMCMMbNnd4ktLMaEN9neVuWIJRQDiIhIfypumrcyM7PpwT8/GDxOMbNXgVedc/c75x43s18BPzazDPA8cCFwIKFgyDn3ipn9CLjUzLYAj+GDrcn4qaWz5VrN7FvAT8zsJeC+oMy5wJedc8VlLga4lqYm1s2bx8aGBtqam6mpq2PUjBmMmzu36N5FccTtAt9b/dVzKdtra8KCBSXZ3qgZM3hh4cK8nz2pYHHc3Lls+PnPac9Tt97cWikiIuWlGKx08sVLcWKbOGp2371bbLG4Kt416rbmZsbMnl3yWEIxgIiI9CfrPtlMcsysp8rc75w7MSizG/Ad4CxgD+BJ4BvOuRWRbVUDlwLnA/sAzwHfds415tjvbGAuMBp4EZjvnPtJnDpPnDjRrVy5Mk7RirZpyRIenT6djtbWLoGPZTJUZTIc2diYs5dRS1MTz1x2GX+79dZuAVP18OHs//nP95gMW1xVVZoB3HtQU1/ve2UBdwwZEiu4tEyG04vsnVVqLU1NLB8/nvat0dnRO1XX1jJp1aqyJBkL6e25IiKSVmb2Z+fcxKTrUU6KwUqjp9/AkjJjzJw53S6S3V1f7wd9L6Cmvp4TH3usLLGEYgARESmlfDFYqpJZlSiNgVSp9TZ5smnJEh755Cfp2LGjx/cBVA0bxlG33dYtuIkblPWGZTKMnjVrVyC48uyzeemmmwq+b78ZM5iYgll40h4stjQ1sW7+fDYuWtR5VXrmTMZdckkiCTYRkb4YDMmsSpS2GCxOvFQKVcOGMXn16m6/p0/OmROrt1U2/ilXLKEYQERESkXJrDJKWyBVDsUGR+ADmWWHH07H9u2x9lE1dCiT16zpEuTE2W9vRZNvLU1NLDvssLyJt1x1TJKCRRGR/qFkVjqlLQYrZ9ySVTV0KEfdfnuPveGLvfioWEJERNJMyawySlsgVQ7FdFvP3rb35Jw5rL/mmqJuE4z2eirHFc58Vxs3LVnCI5/6lE9ohett5oPHHL3HRERk4FMyK53SFoOVs0c5ADU1fPTZZ/MmmdLec1tERKQY+WKwSpvNUBIQe/rmt99msRmLzVh/9dVFj3f1t1/9qsvz4WPHcmRjI9W10VnAe6fQLIIjp0xh8urVjJkzp8vsQGPmzGHy6tUK/kRERKRHZZ9YpqOjYG+pcsyiLCIikkbqmdVHabsqWA5lv9IYMi3H+djS1MTS9763T932w73GREREiqGeWemUthjsrro62ltayrZ9xTIiIjLYqGeW9MmoGTOwTCax/Q8fO5bR553X6zoUO7U0+ATak3PmcHd9PYurqri7vp4n58yhpampV3UQERGRgWvTkiXlHfi9pobdDjhAcYmIiEhAySwpaNzcuVT1QzLLhgwpSx2qMhnGXXJJ7PKblixh+fjxvLBwoe+R5hxtW7bwwsKFLB8/nk1LlvSqHiIiIjLwtDQ18fAZZxQ9vEJR2tpofvZZxSUiIiIBJbOkoOFjxzLuG98o+372+/Sn877+jkmTitqeZTJU19ZyZGNj7Bl5WpqaeHT6dNq3bu12W6NrbaV961YenT5dV0JFREQEgFVf+Qpu586y78e1tXV9rrhEREQGMSWzpEfZW+3uqqvjucsvL+u+qoYO5T1XXpnztWxPqVfvvTf29mzIkF4Ndrpu3jw6CozN1dHayrr582NvU0RERAamlqYmXvntbxOtg+ISEREZjJTMkpzCt9qVczBTgKphwzjq9ttz9p7K11Mqn+phw5iwYEHsHllZGxsaCu7HtbaycdGiorYrIiIiA8+qiy9OugqKS0REZFBSMku66W0CqTeGHXAAR999d4+9p+L0lMqlt9Njx31f2affFhERkVRraWrilbvvTroagOISEREZfGqSroD0r5amJtbNm8fGhgbampuprq1l2L77snX9+m5jMfSH7Rs28MBJJ4EZNXV1jJoxg3Fz5+7qURWnp1QuNXV1vapPTV2dH1y1TNsXERGRytbS1MQzl13GSzfdlHRVdlFcIiIig416Zg0iL1x/Pfcdcgjrr75612w47S0ttKxbl0giC+ic+aeHmXl6c6XRMhlGzZzZq+qMmjEDKzBrYl+2LyIiIpVr05Il3Pee96QqkaW4REREBiMlswaBlqYm/jhpEk986UvQ3p50dfKKzszTmyuNVZkM4y65pFf7Hzd3LlUFkll92b6IiIhUppamJh467TRI6gJgDxSXiIjIYKRk1gC3ackSlh1+OK+vWJF0VYqSnZknTk+pLMtkqK6t5cjGxqIHfs8aPnYsRzY2Ul1b222/pdi+iIiIVKaVZ5+dyEXBPY46SnGJiIhIhJJZA1h2IPeO7duTrkrRsjPzxOkpBVBdV8foWbOYtGpVj4PJxzVyyhT8yCr/AAAgAElEQVQmrVrF6FmzqKmvh6oqaurrS7Z9ERERqSwtTU289fDD/b7fqt12Y+JNNykuERERidAA8ANYb2cCTIu25uZdPaUenT6djtbWLoPBWyZDVSbDkY2NJQ/kho8dy4QFC5iwYEFJtysiIiKVZ928ef2+z2ivK8UlIiIindQza4BpaWriyTlzuLu+nvVXX92rmQDTIjtelnpKiYiISJI23Hhjv+7PMhnFOCIiInmoZ9YAsmnJkpw9mCpVeGYe9ZQSERGRJGxasoT2lpZ+259lMoyeNUvjYImIiOShZNYAkR0fq33r1qSrUjKamUdERESSlI2v+pNmJxQRESlMyawBotLHx4oaOXWqrkiKiIhIotbNm0f7zp39sq/wWKCKgURERPLTmFkDxMaGhlTdWlhVW8vIqVOpGjas21TSBd+7224c8eMfl6lmIiIiIvG8eMMN0NZW3p2YaSxQERGRIqln1gDR1tycdBU6mXFaMLZES1MT6+bPZ+OiRbQ1N1NTV8dexx/Pa0uX4traepydUFckRUREJEktTU10bNtWlm2Xc0ZmERGRwUDJrAGipq6Oti1bkq4GADW7777r3z0N3J4ryTVq5kzGXXKJElkiIiKSuHXz5pVluzX19Yp5RERE+kjJrAq3oaGBVRddlJpElmUyXWYh7IlmJxQREZE0e/H660u/0aoqTt28ufTbFRERGWSUzKpgK2fO5KWGhqSr0YVm4BEREZGBoGPHjpJvs6auruTbFBERGYw0AHyF2tDQkLpEFtXVGu9KREREKt4jn/1sybcZt/e6iIiIFKaeWRWopamJx1IYDH343nsZMXly0tUQERER6bWWpiZevuWWkm9XvddFRERKRz2zKsza732P+8aNS7oa3ew9daoSWSIiIlLxHvn0p0u+TaupUe91ERGRElLPrArQ0tTEunnzWH/dddDW1r87r6qCjo78RYYNY/yPf9xPFRIREREpn7cff7zk2zzmnnt00U9ERKSElMxKuU1LlvDo9Om0b92ayP7HXHghe3zgAzz15S/T0dqKa23d9ZplMlRlMrrSKCIiIgPCiqOPLvk2q2trlcgSEREpMSWzUqylqYlHzjyTjm3b+n3flskwetYsJixYAMA7TziBdfPns3HRItqam6mpq2PUzJmMu+QSJbJERERkQNj88MMl3Z7V1LD/F79Y0m2KiIiIklmpturiixNJZEHnIKXZWxw3NjTsSmKNmT2bcXPnKoklIiIiA0Y5emVZTY0GfRcRESkDDQCfUi1NTbxy9939v+OqKqprazmysZHmtWtZPn48LyxcSNuWLeAcbVu28MLChSwfP55NS5b0f/1EREREyqDUvbIAcI7mtWtLv10REZFBTsmslEpqxsLdDz2USatWUXfwwbvG6gqPkwXgWltp37qVR6dPp6WpKZF6ioiIiKRdx44dipdERETKQMmsFFoxcWJi+9724osMHzuWdfPm0RFJYkV1tLaybv78fqqZiIiISHksNivbthUviYiIlJ6SWSnz6rJlbP7znxPbf1tzMwAbGxq69ciKcq2tbFy0qD+qJSIiIlKRFC+JiIiUnpJZKfPASScluv+aujqgM6lVSNxyIiIiImlUzl5ZWYqXRERESkvJLMDM9jezRjPbbGZvm9ltZnZAf9ejP4KpfCyTYdTMmUBnUquQuOVEREREwtISf/UHxUsiIiKlNeiTWWZWCywD3gN8AZgJvBtYbmbD+6se5UxkDd1vPz68dCnVtbV5y1VlMrumjx41YwaWyeQtH05+iYiIiMSVlvirPyheEhERKb1Bn8wCzgcOAs5wzv3GObcYOB0YDcxOtGYlUF1by3H338+IyZM5srGR6trabkkqy2Sorq3lyMZGho8dC8C4uXOpKpDMCie/RERERIowoOOvMMVLIiIipadklg+cHnLOrcuucM49D/wJmJZYrfqqurpbgmrklClMWrWK0bNmUVNfD1VV1NTXM3rWLCatWsXIKVN2vX342LFFJb9EREREijBg4q+q3XbDamqwmpou6xUviYiIlI+SWXAYsDrH+jXAof1cl9LIZBhzwQXdElTgk1QTFizg1M2bmdbezqmbNzNhwYKcQVYxyS8RERGRIlR8/PWBRYuY5hynbd3KSc8+y+jZsxUviYiI9JOawkUGvL2AN3OsfwPYM9cbzGwWMAvggAPSNU7pPtOm8aHf/KZk28smvyYsWFCybYqIiMigV3T8BemJwfY/5xz2nzFj13PFSyIiIv1LPbN6wTn3U+fcROfcxBEjRiRdHQCqamv5wKJFJU1kiYiIiKRJGmKwf5g4kQ/87GeJ7FtEREQ89czyVwVzXQHs6YphupjxvoULGX3uuUnXRERERCSuioy/dhs7lhMffTTpaoiIiAx66pnlx2Y4LMf6Q4Gn+7ku8VVXM+rss/noX/6iRJaIiIhUmoqMvz6+bl3hQiIiIlJ2SmbBHcDRZnZQdoWZjQE+ErzWL6Y5F6vckH324aPr1jGtrY0PNjRodhwRERGpRKmIvyB+DBa3nIiIiJSfkllwHbAeWGxm08zsdGAxsAG4tj8rUihI+vDSpUx5+WUlsERERKTSpSb+gsIxmBJZIiIi6TLox8xyzrWY2WRgPrAIMGAp8FXnXHN/10fBkoiIiAx0aYu/QDGYiIhIJRn0ySwA59yLwJlJ10NERERksFD8JSIiIr2l2wxFRERERERERKRiKJklIiIiIiIiIiIVQ8ksERERERERERGpGEpmiYiIiIiIiIhIxVAyS0REREREREREKoaSWSIiIiIiIiIiUjGUzBIRERERERERkYqhZJaIiIiIiIiIiFQMJbNERERERERERKRimHMu6TpUNDN7FXihTJt/J/BambYtpaFjlH46RumnY5R+g/0YjXbOjUi6EtKVYrDUUFvFp7aKT20Vn9oqPrVVcdLQXj3GYEpmpZiZrXTOTUy6HtIzHaP00zFKPx2j9NMxksFG53x8aqv41Fbxqa3iU1vFp7YqTtrbS7cZioiIiIiIiIhIxVAyS0REREREREREKoaSWen206QrIAXpGKWfjlH66Riln46RDDY65+NTW8WntopPbRWf2io+tVVxUt1eGjNLREREREREREQqhnpmiYiIiIiIiIhIxVAyS0REREREREREKoaSWSljZvubWaOZbTazt83sNjM7IOl6VSozm25mvzazF8xsm5k9Z2bfM7PdI+X2NLOFZvaambWY2X1mdkSO7Q0zsx+a2cvB9h40s+NzlKsys0vNbL2ZbTezJ83szB7qeL6ZPWtmO4L6XVC6FqhMZva/ZubM7KrIeh2nBJnZKWb2ezNrDr6fVprZ5NDrOj4JMrOPmNm9ZvaKmW0xs8fM7NxImcTa3szOMLPHg+29YGb/ambVpfn0In03mGIwMzsx+J2NLm9FyiX2vZ4EMxtlZv8V1H9r0CZjcpTTdylFtVeuc82Z2fsi5QZke5n+HoktTluZ2Zg859Qeke0N2LYK6nKymS0zs78H9dloZreY2aGRcrF+35I8B3vFOaclJQtQC/wFWA2cAUwDngKagOFJ168SF+Ah4BbgbOAE4KvAW8H6qqCMAX8ENgL/CHwCuB94DRgV2d4vgvefD5wE3AZsA94XKfcdYAfwdWAScC3QAZwSKXd+sP47QbmrgucXJt12CR6zfwReBhxwVWi9jlOyx2U20ArMBz4GnAx8A5iq45P8AowP2nA5/rfjY0F7uXA7JNX2wfnSjh9IdBLwNWA78IOk206LFucGXwwGnBh8P3wZODq0TAyVSex7PeF22QT8FrgnaKMxOcrpu7S49nLAzyLn2tFA7WBoL/T3SKnbakxwTn03xzlVPVjaKqjPPwI/BKYH7TUTWAO8DYwOysT6fUvyHOz150+i0bX0eDJejP/CHRdadyDQBnwt6fpV4gKMyLHu88EX4OTg+bTg+aRQmX8A3gD+M7RuQlDui6F1NcBzwB2hdXsH/2mvjOx3KbAq8t5XgJ9Hyl0ffGlkkm6/BI7XnsDfgy/QaDJLxym54zIm+IH6ap4yOj7JHqPvAjuBusj6B4EHk2574HHg/ki5y4I675N0+2nRwiCLwehMZn00T5lEvtcTbpeq0L/PI0dyRt+lxbVX8FqXmK6HbQ3Y9kJ/j5S6rcYEz88rsK0B3VZ5PvchweeeGzyP9fuW1DnYl0W3GabL6cBDzrl12RXOueeBP+FPLimSc+7VHKsfDR73Cx5PB/7mnFseet9m4E66tvvp+J4pvwqVawNuBk42s6HB6pOBIUBDZL8NwBFmdmDw/BhgRI5yi4B3AMcW+nwD0A+A1c65X+Z4TccpOefir6Jck6eMjk+yhuDbdVtk/WY6hxRIpO3NbH/gfT2UywBTYn1CkfJSDNZdUt/riXHOdcQopu/SQMz2imvAtpf+HokvZlvFNaDbKo/Xg8e24DHu71vFfecrmZUuh+G7/0WtAQ7NsV5654Tg8ZngMV+7H2BmdaFyzzvntuYoNwQYFyq3A1iXoxx0HsvDgsfovqPlBgUzOxZ/5eWiHoroOCXnWOBZ4HNm1mRmbWa2zszCx0rHJ1k3BI//aWbvMrM9zCzb9Xt+8FpSbZ+zXBBIbWXwHCNJt8Eag/3CzNrN7HUzuykyhkpS3+tpp+/S3rkwGNNnazDGz3GR1wdbe+nvkfiibZX1vSAm3Wxmd+QY22nQtJWZVZvZEDN7N/5Wvr8D2c4BcX/fKu47X8msdNkLeDPH+jfwt19JH5nZfsC3gfuccyuD1fnaHTrbvlC5vUKPb7mgH2WBcuTYZrTcgGdmQ/BfvP/POfdcD8V0nJLzLuDd+Hvyvw98HPgdsMDMLg7K6PgkyDm3Gn/b0DTgJXx7/DdwgXPu5qBYUm3fU7nsukFxjCT1BlsMthmYh781bDLwb8BHgQfNbO+gTFLf62mn79LiNQBz8OfYLHwvlmVmdmKozKBpL/09El8PbbUD/3fDbPw4TF8HjgAeMLP3ht4+mNrqYXy7rMWPozrZOfdK8Frc37eK+86v6esGRCpFkE1ejO9y+cWEqyNd/R9gN/wggZI+VcDuwDnOuduCdcvMz1h0qZn9Z1IVEy+4Evdr/NWuC/C3G04DrjGz7c65XyRZPxFJF+fc4/jxhLLuN7PfA48AXwH+NZGKyYDknJsZevoHM1uM7wFyFem5Natf6O+R+HpqK+fcy/hYJ+sPZva/+BjoX4AZ/VnPlJgJ1AMH4ZN7vzOzY51z6xOtVZmpZ1a6vEnuq389ZT8lJjPbDX+/70HAyc65jaGX87V79vU45d4IldvDzCxGOXJsM1puQAtuafgX4FvA0OD2qOy0utnn1eg4JSl77/3vIuvvBUYC+6Ljk7Tv4scvmOqcu8s5t9Q59xX8jED/YWZVJNf2PZXLrhssx0jSbdDHYM65x/BX9Y8MViX1vZ52+i7tI+fcFuBuOs81GATtpb9H4ivQVt045zbgZ+KLnlMDvq0AnHPPOOceDsYdPgmoA74ZvBz3963ivvOVzEqXNXTeixt2KPB0P9dlwDCzDNAITMRPA/pUpEi+dn/ROdccKnegmdXmKLeTzvuB1wBDgbE5ykHnsczeLxzdd7TcQHcQMAzfBf3N0AL+ysKb+K7DOk7JWVPg9Q50fJJ2BPCkc641sv4R/O0ce5Nc2+csF/Tsq2XwHCNJN8VgnbK3hCT1vZ52+i4tnfDtRwO6vfT3SHwx2iqf6Dk1oNsqF+fcW/jPlh27Ku7vW+V955diSkQtJZtG86v4bpQHhdaNwV9tn5t0/SpxwSdsb8HfcnNSD2XOwH/xnRBaV4/vjfJfoXXvD8p9IbSuBj8Y4Z2hdXsH/5Evj+znPuCp0PMM8Crws0i5hcG+hyTdfv10jPbAj/UTXRx+dpAT8VcXdJySO0anBm06PbL+HmBD8G8dn2SP0Qrgr9HPC9wUfP8NSbLtgSeA5ZFy/0pC08lr0RJdUAwG/g/HduDbwfNEvtfTsuDHE3PAmMh6fZcW0V49lK0HXgR+PxjaC/09UtK26uF9BwBvAzcOlrbK0xYjgWbg2uB5rN+3pM7BPn3WpBtbS5cDOxyfyXwKP9bJ6cCT+D9Q6pKuXyUuwNXBf7argKMjy6igTBXwALAB+Bx+GtEV+K6P+0e2dzO+p9B5+C6cjcB24AORct8P1n8Nn4y5Gt97ZWqk3AXB+quCct8Onl+UdNslvWSPW+i5jlNyx8KAZcGP2QX4AeCvC47ROTo+yS/A9OB43IP//fg4sCBY96Ok2x44JVh/bVDukmD7P0y67bRocW7wxWDAL4L/t5/CDwA/F3gNn2B4Z1Amse/1hNtmerBkY8gLg+cnlOvzVvJ3aaH2wveyvw44K6jzF4L/ZzuB4wZDe6G/R0rdVvPwMzV/Bj8A/AXAC8BbwCGDpa2C+tyOH6plWtAWs/EzkL8FHByUifX7luQ52OvPn0Sja8l7Qh6AH8T3bWAL8BtiXOHQ0mN7rg++EHMtV4TK7QVcH/xn3QosBSbk2N5uwI/w051ux88ccWKOctX4Kz8v4GeWWEWkV0uo7Gz8GBU7gL8Ac5JutzQsRJJZOk6JH496/Ox4m/AB6CrgLB2f9CzAFHzQ8Wrw+/EEfvao6jS0Pf6P5ieDci8Cl4XrpkVL0guDKAYDLg3+X2/GX53fAPwU2DdSLrHv9QTbpqe4cUU5P2+lfpcWai/gNOBP+GRpK/7C2B3AUYOlvdDfIyVtK+Bc4FF8MqU1aIebiCSyBnpbBXX5BvBnfPJqK/AcPnk7JlIu1u9bkudgbxYLdiIiIiIiIiIiIpJ6GgBeREREREREREQqhpJZIiIiIiIiIiJSMZTMEhERERERERGRiqFkloiIiIiIiIiIVAwls0REREREREREpGIomSUiIiIiIiIiIhVDySwREREREREREakYSmaJiIiIiIiIiEjFUDJLREREREREREQqhpJZIiIiIiIiIiJSMZTMEhERERERERGRiqFkloiIiIiIiIiIVAwls0QSYmbnmJkLLS1mtt7Mbjezz5iZJV3HtAna7NyYZU8M2vXEMlcrbl2uMLOqyPoxQR3P68O2q8zsCTP7et9rWjql+Gw9bO+cIt5zhpltMrO6UtRBREQGD8VpxVOclnPbqYzTshRfSSVTMkskeZ8GjgFOAb4F7AB+CfzOzHZLsmIpdA4QK0hKmROByynPd+4MYF/gJ2XYdqVbDLwM/HPSFRERkYqlOC2+c1CcFjUQ4zTFV5IKSmaJJO8J59xDzrn7nXOLnHOfAz4DTAb+PeG6Sfp9HbjRObc16YqkjXPOAT8F/snMhiVdHxERqUiK06QvEo/TzGxoKben+ErSQskskRRyzv0af9XjfDOrza43s33N7EYze83MdpjZKjObEX2/mR1oZovM7O9Bub+a2X+EXl9hZityvG+9md0Qep7tYv9hM7vFzLYE3YovDV7/hJk9HnS9f9TMPphjm58ys4fMbKuZvWVmt5rZATn222BmnzOzZ4LtrTSzY8N1Bk4APhLq8t/tMxRSqvqEyn41KL/dzB4J2mpXO5rZFfirfQCt2bpHNlNtZt82s5eDOt1pZqNifJYPAUcAN0XWHxzcBvFKUK8Xg89ZY2b7mNlOM7s4x/auCNplz+D5CjP7Y3CcnzCzbcHx/lCwre8GdX7DzG4ws+E5qjnEzH4U1GWrmd1lZmMi+82Y2VVBu+0MHq8ys0yBz3+kmf3OzF4P6vZXM4te+bwF2AP4VKH2FBERiUNxmuK03sZpZvbBYB/htvtysO6q0Lp3B+tODa07yszuM7Pm4DMvNbOjIvu8wcw2mtkxZvaAmW0jSLqaWa2Z/SSIm5rN7A6g2+dQfCWVQskskfT6LTAUmAgQJAruB6YA/xc4A3gKWGRms7JvMrMDgUeA44HLgE8AVwLv7ENdfh7s65PAb4DvmtkPgB8CPwA+CwwHfmNmQ0J1uQD4NfA0MB2YDRwO3G9mu0f2cRwwF9+F/7NANXCXme0RvD4HeBxYhe/uf0ywLrYS1wfzYyjMB+4DpgE34AOWPULbWQj8T/DvY0N1D7sUGIfvmn9x8HpDjI/0CWAL8GRk/d3AfsCFwMnAN/G3RVQ55/6OP4azwm8ws2rgS8Atzrk3Qy+Nwx/n7+NvtRgK3AFcje82fw7wbeBsOoPB6Gd7N/BF4CLgg8C91jVR9fOgjjcCU/Ht+I1gfU7mx2m4B2gP6jAlqEdNuJxz7jXgGXxbiYiIlIriNMVpheSK0x4H3sL37MuaDGzLsa4N+H3wWcbjz6898XHP54F6fNtMiOz3H4Cb8bfDTqEzmXYtcB7wI3wS6jm6XxBVfCWVwzmnRYuWBBb8D4QDxvXw+snB658Nnv9T8PzESLn7gFeA6uD5jUAz8K48+14BrMixfj1wQ446XhZaVxPsrxU4MLT+9KDsCcHzOmAzcH1kHwcCO4GvRvb7JrBnaN3EYHtnRer9x5jte2K4vUpdH/zFgA3AbyPb+1RQLtyOVwTraiJlxwTrV0TWfz1Y3+MxDMotAf4UWffO4L2nx2ib43Icv6Mj7d0KHJSj3H2Rbd4GPJ/jsz2NT6Jl138kWP+l4PnhwfMrItv712D9+Mj2zokcj/ExzoVFwNpS/d/VokWLFi0Df0FxmuK0MsRpwfrFwPJQPd8A5gXHrC5YfzPwUOg9jfgk2B6hdfXBe28LrbshqNu0yD4PwSeovhlZfzWKr7RU6KKeWSLplZ0lJ9vV+XjgJefciki5BmAEcGjw/OPAXc65v5WwLkuy/3DOtQHr8D9ez4fKPBs87h88HoP/kf2F+VvSasysBh9YPBt8nrAHXdceQU8FjwdQGqWuz6hguTXyvsX4K2nF+G3kedzP/i7g1ci614G/At83s/PN7N3RNwXn0NP4K55Zs4FVzrmHIsXXOuf+GnqePc73RMo9C4wy6za7U6NzriO07z8BG+m86plt9+gVzuzzE6L1D/wFH9Rda2YzzGz/HsqBb6N35XldRESkWIrTPMVpPcsVpwEsA44xP97U+/A9xf4d34v+uKDMJGB56D3H48+bt7IrnHNv43vLR2OlVuCuyLoP4RNnt0TW3xx5rvhKKoaSWSLplf3xeDl43Cv077C/h14HeAc+WVBKb0ae7+xhHUB2IMi9g8f78D+q4eWIoJ5hb4SfOOd2RLbXV6Wuz77B4yuRcu3Aa0XW7Y3I87iffViobHb/DvgYsBL4HrA2GOvgwsh7rwamm9k7zGw0vpv4NTn20dNxzrW+Bt/NP2xTjm1uwt8GCZ3nbfTcjp7XXTjnNuMDvb/hZwh60cxWm9mZOYpvo3TnkYiICChOU5zWizgtsBx/i+qH8bHMk865TcAfgUlmdhi+PZaF3pPv/Nozsu7V4HOGZdsjGpd1ea74SipJTeEiIpKQU4HtwJ+D52/guwhH7RN6HfwP9H45yoVtx1/9isqZOOil14PHc4A1OV7fUsJ9xVHq+mQDir3DK4Oxp/oy7kUxXqd7AEPQk+rzQS+pCfhbH35iZuudc9mrtzfik13nBNvYCvyiDHUc2cO6J4J/Z8/bfYCmUJnoed2Nc+4J4Mzgyu1E/JgWt5jZBOfc6lDRveg8/iIiIqWgOK20Bk2chu/Z9Rp+XKz305m0WoafKXMDPvn4p9B73qDzXArbh+6Jy+gA9tDZHiPxPfgJPe/6ZsVXUiHUM0skhYKrH6cD17jOqXzvx9/G9ZFI8bPwV52eDp7fC0w1s33p2QvAwZFBQI8HooNr9sUD+MBjnHNuZY7luV5scwewW0rqszFYPh1ZfwbdLxRkr8r1tu49eRY4qKcXnfcE8LVg1eGh197GJ69m4wc0/WWwrtSmm9mu35rg/B0FPBis+n3w+LnI+84OHlcU2oFzri24PfJb+N+190aKHIgf5FRERKTPFKf1SHFaVznjtKAX/Qp8T/rj6JrMej9+IP9HQucW+PPrlPBA+MG/TyNGrAQ8DHTgk2Vh0fgrXE/FV5Jq6pklkrz3mdk7gSH4e++n4n94f4e/EpJ1A34GldvM7F/wP9Bn438IZ4e6E18OnAI8YGbfxY+bsB/wCedcdnrom/Gz2V1vfmriA/EJj82l+lDOubfN7J+B/zazEfjxHDYHdTkBP5jmTfm2kcPTwBwz+yy+F8+WuMFNqevjnOswsyuB68xsIX5MhoPws/JtxgcM4XoDzDWzJUC7c25l3H3l8Xvgi2b2Dufc67Brtpv/AH6FP/bV+KucbXTtrg6++3h23KxctxiWwu742ZOuxY8Z8j38eAw3AjjnVpvZL4ErgiuAD+DHzfgWPsH2VK6NmtlU/Dn8G+B5/CxNX8EHwg+GyhlwFP6zioiIFEtxWnyK07rqFqeFLAf+Gz8o+x+CdY/j45hJ+BkEw/4Nf+4tDWaqdPiZn2tzlO3GOfecmd0EfDu4yPgofvy2U8LlFF9JJVEySyR52YEpt+Ov3D2Gv0rSGFy5AcA512JmJ+AHiPw+PknwHDDTOdcQKrfezI4GrsInDuqAl/ADXmbLLA+mP/46cCb+x3MGfjrkknHOXWtmG4B/xl+ZrAnq8gc6bzMrxg/wXfgX4j/X/fjZcBKpj3NuYTCF8SX49lsdPN5B14DzLvyP/Rz8NNxG58CxfbEYf95MxU/LDX7shBfxQe+o4PWngKnOuT+H3+ycW2Vma4G3nXOPlaA+uXwPP531DfiAaDnwT8651lCZc/Bd3s/Fz2L4N/yxvjLPdv+CH6vhW/hxILbgA7OPOefCY5F8GN/FPzrAqYiISByK0+JTnNZVrjgtKzu4+8psz3jnXLuZ3Y/v9Rce/D0bs50IfCfYlgEP4WenfDJmfWbjZ9L8Oj45uwzfzn8MlVF8JRXDQt/BIiLSR2Y2Ef+j/3nn3KJ+2N8NwCjn3Ed78d5DgGeA851z/1PquqWBmV0NHO6cO65gYRERERnQKilOSzPFV5IGSmaJiPSSmR0IXIS/Yvg2fiyB/4sftPPwyFgH5azDM8CxcYv2kUsAAADDSURBVLvEm9kofG+pK4PHcc65beWrZTLMbB98j69POOd+X6i8iIiIDByVGqelneIrSQvdZigi0nvb8IOqfx7f1fpN/JTS3+yPAAnAOfe8mZ1DZLaeAs7Dd6NfC5w1EBNZgTHAXAVaIiIig1KlxmlpNwbFV5IC6pklIiIiIiIiIiIVo6pwERERERERERERkXRQMktERERERERERCqGklkiIiIiIiIiIlIxlMwSEREREREREZGKoWSWiIiIiIiIiIhUjP8PFp/mWzZ7vYIAAAAASUVORK5CYII=\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_statistics(preprocessed_test_texts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are still points, in both train and test parts, that fall out of the empirical dependence suggested by Heaps' law. Let's try to filter the vocabulary according to the word frequency statistics." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "vocabulary = reduce(\n", + " lambda res, cur: res.union(set(cur.split())),\n", + " preprocessed_train_texts,\n", + " set()\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The initial size of the vocabulary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "69739" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(vocabulary)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 722 ms, sys: 0 ns, total: 722 ms\n", + "Wall time: 638 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "# How many times did the word occur in the collection\n", + "\n", + "term_frequency_counter = Counter(\n", + " ' '.join(preprocessed_train_texts).split()\n", + ")\n", + "\n", + "# How many documents of the collection did the word occur in\n", + "\n", + "document_frequency_counter = Counter(\n", + " ' '.join(\n", + " [' '.join(set(t.split())) for t in preprocessed_train_texts]\n", + " ).split()\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at the most/least common words concerning frequency" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('ax', 62505),\n", + " ('x', 9913),\n", + " ('u', 8189),\n", + " ('q', 7998),\n", + " ('w', 7590),\n", + " ('one', 6767),\n", + " ('f', 6751),\n", + " ('g', 6609),\n", + " ('v', 6383),\n", + " ('p', 6263),\n", + " ('would', 6163),\n", + " ('b', 6102),\n", + " ('r', 6100),\n", + " ('c', 5389),\n", + " ('e', 4637),\n", + " ('max', 4600),\n", + " ('n', 4307),\n", + " ('people', 4135),\n", + " ('l', 4073),\n", + " ('k', 4019)]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "term_frequency_counter.most_common(20)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('willow', 1),\n", + " ('equi', 1),\n", + " ('ebodin', 1),\n", + " ('bodin', 1),\n", + " ('jiggling', 1),\n", + " ('aneurysm', 1),\n", + " ('hemicrania', 1),\n", + " ('paroxysmal', 1),\n", + " ('intracranial', 1),\n", + " ('sured', 1),\n", + " ('ofthe', 1),\n", + " ('kneecap', 1),\n", + " ('alesis', 1),\n", + " ('fraternatae', 1),\n", + " ('egalitae', 1),\n", + " ('libertae', 1),\n", + " ('clawed', 1),\n", + " ('swam', 1),\n", + " ('incidently', 1),\n", + " ('laussane', 1)]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "term_frequency_counter.most_common()[::-1][:20]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('one', 3299),\n", + " ('would', 3168),\n", + " ('like', 2564),\n", + " ('know', 2413),\n", + " ('get', 2338),\n", + " ('time', 2023),\n", + " ('also', 1947),\n", + " ('think', 1930),\n", + " ('people', 1827),\n", + " ('make', 1706),\n", + " ('could', 1682),\n", + " ('use', 1649),\n", + " ('well', 1620),\n", + " ('good', 1591),\n", + " ('way', 1504),\n", + " ('even', 1501),\n", + " ('thing', 1475),\n", + " ('year', 1467),\n", + " ('much', 1457),\n", + " ('say', 1438)]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "document_frequency_counter.most_common(20)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('willow', 1),\n", + " ('equi', 1),\n", + " ('jiggling', 1),\n", + " ('bodin', 1),\n", + " ('ebodin', 1),\n", + " ('millie', 1),\n", + " ('paroxysmal', 1),\n", + " ('hemicrania', 1),\n", + " ('intracranial', 1),\n", + " ('aneurysm', 1),\n", + " ('sured', 1),\n", + " ('ofthe', 1),\n", + " ('kneecap', 1),\n", + " ('alesis', 1),\n", + " ('grudgingly', 1),\n", + " ('egalitae', 1),\n", + " ('clawed', 1),\n", + " ('surpises', 1),\n", + " ('laussane', 1),\n", + " ('libertae', 1)]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "document_frequency_counter.most_common()[::-1][:20]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "word_and_frequency_pairs = term_frequency_counter.most_common(100)\n", + "\n", + "plt.figure(figsize=SMALL_FIGSIZE)\n", + "\n", + "y = [p[1] for p in word_and_frequency_pairs]\n", + "x = list(range(1, 1 + len(y)))\n", + "\n", + "plt.plot(x, y, lw=LINEWIDTH)\n", + "\n", + "plt.xlabel('Rank')\n", + "plt.ylabel('Term frequency')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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lwONmdq2739movwEPAZcAy4A7CWZRLwXmmtnF7v5YxO+aMmdOHMCSzXsbtM1cup1PnTQqNQGJiIhIWomSNP4GeBB40Mw+G3vDzHoD9wF9gLsjxrAcuBB4MnxXsv6Z3wJeAy4mSCAfbTTudXe/qS0fEM4MXgesAqa5+66w/WZgIXCLmT3h7mtjhl1GkDDOA85098pwzN3AS8A9ZjbL3fdF+7qpMePwgdw+a2WDtnmrdlJRVUNhXpR/DERERKQ7avPytLv/GbifIInbAVwDYGYLCGYJLwLucvenogTg7rPc/fHYhDFs38r7Cej0KM+M4wvh9Uf1CWP4GWuBXwH5wGcajbkmvN5QnzCGY/4NPAyUEiSVaWHy0BL692y4Iaaqpo6XV+5MUUQiIiKSTiIV93b3qwhqMb5DkDQZcBywEvisu1+b5Pjq68LUxLk3xMw+b2bfCq+TW3jOjPD6TJx7Tzfqg5kVACcDFcCLbRnT1WVlGWdMGNCkfdbSbSmIRkRERNJN5HVJd78fuN/MehAsR+9x9wPJDszMcoBPh7/GS/bODn9ix7wAXOHu62PaioChwH533xLnOSvCa+xJNmOBbGC1u8dLWOON6fLOPHwAf124sUHbzHe34+4Er3CKiIiIxJfw2dPuftDdN3dEwhj6KXAk8JS7/yumvQL4ATCFIGntA5xOsIlmOjAzTBTrlYTX5goT1rfH7gxPZEwDZna1mS0wswU7duxorlunOnV8KbnZDZPD7fsONdkgIyIiItJYwkljRzKzLxNsXFkKfCr2nrtvd/fvuPsid98d/swFzgHmA+OA/+r0oBtx99+4+1R3n1paWprqcADomZ/DiWP6NWmf+a5K74iIiEjLopw9vbqNP6vaE5CZfQn4JcF7k2e4e3lbxoXLyPVHG54Wc6t+VrCE+OrbY+tLJjImLcyYqPcaRUREJLooM41ZBBtfGv/0AUaFP3kRn9mAmX0FuIOg1uIZ4Q7qKOrXgd9bng6XzzcBPc1scJwx48Pr8pi2VUAtMCZ8t7ItY9LCmRMHNml7Y+Metu+rjNNbREREJBCl5M4odx8d56cPwYaQZwiSrcMTCcTMvgH8nKCI+Bnunsia6YnhdXWj9lnh9dw4Y85r1IewxM48oBD4QFvGpIsR/QoZP6Bnk/YXlnaN9y5FRESka0rKO43uvpKgAPdQ4LtRx5vZjQQbXxYSFNIua6HvcY2PFgzbzwS+Gv76x0a36+s9ftvM+sSMGQV8EThEUJw81q/D6w/DEjz1Y6YRnAqzg6YFx9PCjMObLlHP1BK1iIiItCBpR4G4e6WZPQd8AvhmW8eZ2RXA9wmWg18Evhyn/MvasNQPwG3AeDObR3AkIMBk3q+ZeKO7NzjK0N3nmdltwNeAN83sEYKl9EsJjga8ttFpMBAcIfgxggLei83scaBfOCYb+Jy7p+W24zMnDuT/5jScjH1xRRmHamrJz8lOUVQiIiLSlSX7/LgaYFDEMaPDazbwlWb6zCE4jQbgD8BHgWkEy8S5wDbgL8Cd7h6vGDfufp2ZvUUws3g1UAcsAm529yfi9Hcz+wTBMvVVwLVAJTAX+GHjxDSdHDeiNyU9ctlzsPq9toqqWuavLue0w7rGTm8RERHpWszdk/Mgs/4E7yMedPfxrfXvTqZOneoLFixIdRgN/PdDi3ns9c0N2j55wgh+/NGjUhSRiIiIdAVmttDdpzZub/NMo5l9p5lbOcBwgrOnS4iwNC2pM2PigCZJ418XbOCzp45mbGnTjTIiIiLSvUVZnr6plft7CZZt/zfxcKSzTJ8wgILcLCqr695rq651bvrnEh646ngdKygiIiINREkaz2imvQ7YBSxt5pxm6YJKeuRy9QfGcPuslQ3aX1xRxr+WbOXcI+OVtBQREZHuqs1Jo7vP6chApPNdM30cjy7axKbdBxu0f//xdzjtsFIK85K9T0pERETSVZc8e1o6R4+8bL5zwaQm7Zv3VPKr2SvjjBAREZHuKspGmBGJfoi7r090rHSscyYNZPqEUl5Y1vBEmHvmruGSKcMZ3b+omZEiIiLSnURZf1wLJFKfxyN+jnQiM+OmC47gnJVzqap9f1NMVW0dN/1zCfd/Zpo2xYiIiEikZO4BYBRwGrCHoCbjVoJi3scQlNuZQ5BcShoZ1b+Iq08bw52NlqTnLN/Bs+9s44NHRK3XLiIiIpkmStL4E+AV4OfA92KP0DOzYuB7wKeBz7v78qRGKR3ui2eM4++Lm26KuXvOKiWNIiIiEmkjzE+Bt9z9usZnLrv7Xnf/KrAk7CdppkdeNjee33RTzJsb91Ads2wtIiIi3VOUpPE04KVW+rwEnJ54OJJKHzxiIP2K8hq01dY5m3YdbGaEiIiIdBdRksZ8gvcXWzI47CdpyMwYFWe39NqdB1IQjYiIiHQlUZLGxcBlZnZsvJtmNgW4FFiUjMAkNUb1i5M0lilpFBER6e6ibIT5HvAM8KqZPQjMBbYBAwmWpD9JkIR+L9lBSucZ1a+wSdvanRUpiERERES6kijHCD5vZpcB/wdcCVwRc9sIzp++2t1nJjVC6VQjtTwtIiIicUQquu3uj5jZ08BFwHEEtRn3ECxJP+buyi7S3Og4y9PrNNMoIiLS7UU+qSVMDP8U/kiGGdm/6fL0hvIKamrryMnWUeUiIiLdVcJZgJn1MbPhyQxGUq+4ILdJ2Z2aOm9S9FtERES6l0hJo5n1NLNbzWwrUAasibl3gpk9ZWbHJTtI6Vwj42yGWaMd1CIiIt1am5NGMyshOEbwq8Bm4F2CDTD13gI+AHwimQFK54tXq1HvNYqIiHRvUWYavw0cAVzp7scBf4296e4VwBzgzOSFJ6kQr1ajZhpFRES6tyhJ48eAf7n7Ay30WQcMbV9IkmrxZxqVNIqIiHRnUZLGYcCbrfTZT1CGR9KYCnyLiIhIY1GSxn3AgFb6jCbYICNpbGSc5en6sjsiIiLSPUVJGv8NnG9mveLdNLPBwIeAl5IRmKROSY9c+sYpu7N5d2WKIhIREZFUi5I0/hLoBzxlZofH3gh//ytQANyevPAkVeKW3dF7jSIiIt1WlLOn/2Vm3wO+C7wNVAOYWRnQh6D8zjfcfV5HBCqda3S/Ihav392gLdgMU5qagERERCSlIhX3dvfvEZTU+SewC6gFHHgKOMvdb056hJIS8d5rVNkdERGR7iuRs6dnA7M7IBbpQkbFOYNaBb5FRES6rygnwswysx90ZDDSdcQr8L1WM40iIiLdVpTl6ROB7I4KRLqWeEnjhl0quyMiItJdRUkaVwDDOyoQ6VpKCnPpU5jboK26VmV3REREuqsoSeNvgQ+b2YiOCka6lnibYdaq7I6IiEi3FCVpfJygcPfLZvYlMzvBzEaa2YjGPx0Uq3Sy0XHOoFbSKCIi0j1F2T29mqC8jhEU+m6OR3yudFHxCnyvLdMOahERke4oSnL3AEFCKN2EZhpFRESkXpQTYa7swDikC9I7jSIiIlKv2XcazWyRmV0d8/unzWxy54QlXcHoeGV3yiuordOEs4iISHfT0kaYY4BBMb/fD3ykQ6ORLqWkMJfeccvuHExRRCIiIpIqLSWNO4H+nRWIdE1aohYRERFo+Z3G14FPmdkmYEvYdoyZfbq1h7r7A8kITlJvdL9C3tiwu0Hb2rIDfGB8aYoiEhERkVRoKWn8H+Ap4Ce8v2v6ovCnORb2VdKYIeLPNKrsjoiISHfTbNLo7gvNbBxwPDCU4J3Gx8KfpDGzfsBHgQ8DR4WfVQW8BdwH3OfuTQ48NrOTgRsIzsTuQXDM4b3AHe5e28xnnQ9cDxxLcI72EuAud/99C/FdAXwRmATUAouBW9z9iUS+b7qJW3anTMvTIiIi3U2LJXfcfR8wE8DM7gdebynBStDHgV8TLIHPBtYDA4GPERxdeJ6Zfdzd39uya2YXAY8ClcDDQDlwAfBz4JTwmQ2Y2ZeAOwje1fwjQWJ6CXC/mR3l7tfHGXMLcB2wEbgHyAMuAx43s2vd/c5k/AfQlcUt8K13GkVERLodi8nFWu5oNhLY7e57khqA2QygCHgydkbRzAYBrwHDgUvc/dGwvRhYCZQAp7j7grC9AJgFnAR8wt0finnWKGApcACY4u5rw/Y+wL+BscDJ7v5KzJiTgZeBVcA0d98V86yFYcwT65/VkqlTp/qCBQsi/efSVeyuqOKY7z/XoC0323jpGzMYWFyQoqhERESko5jZQnef2ri9zWdPu/u6ZCeM4XNnufvjjZeg3X0rcHf46/SYW5cApcBD9Qlj2L+SYLka4JpGH3MVkA/cGZvkhYngj8Nfv9BoTP3vP6pPGMMxa4Ffhc/7TOvfML31Lsyjf8+8Bm3Vtc5Pn16aoohEREQkFdqcNKZIdXitiWmbEV6fidN/LlABnGxm+W0c83SjPu0Zk5EuOmZok7a/L97EgrXlKYhGREREUqHLJo1mlgPUl/eJTdwmhNfljce4ew2whuBdzTFtHLOFYNl6mJkVhp9dRLAhZ394v7EV4fWwNn2ZNHftjHH0aVTkG+A7jy3R6TAiIiLdRJdNGoGfAkcCT7n7v2LaS8Jrc0vl9e29ExhT0uga5TMaMLOrzWyBmS3YsWNHc93SQu/CPK7/4IQm7e9s2cufX1ufgohERESks3XJpNHMvkywa3kp8KkUh5MQd/+Nu09196mlpelfCPuyaSM4cmhxk/Zbnl3GrgNVKYhIREREOlOXSxrD0ji/BN4BznD3xi/ONZ4VbKy+PfYYk7aO2dPoGuUzMlp2lvG9C49o0r67oppbn1uWgohERESkM7U5aTSz75jZaa30+YCZfSfRYMzsKwS1FN8mSBi3xulWn6E0eZ8wfA9yNMHGmdVtHDOYoHzORnevAHD3A8AmoGd4v7Hx4bXJO5KZbMrIvnzs2KabYh6cv57XN3Sb/FlERKRbijLTeBMNS9/Ecxrw3UQCMbNvEBTnfp0gYdzeTNdZ4fXcZj6/EJjn7ofaOOa8Rn3aMybj/c95E+mZ37AmvDt89K6X+dTv5vPPNzZTWR33QB4RERFJY8lens4Fmhz51xozu5Fg48tC4Ex3L2uh+yNAGXCZmb1XeDIs7v3D8NdfNxpzH3AI+FJYnLt+TB/gW+GvdzcaU//7t8N+9WNGERwreCh8brcyoLiAL585rkm7O7y4oowv/3kxx//oeW765xJ27j8U5wkiIiKSjlo8RjABxxEkdG0Wnu38fYJznV8Evmxmjbutdff7Adx9r5l9jiB5fMHMHiI4RvBCgtI6jxAcLfged19jZl8HbgcWmNnDvH+M4DDg1tjTYMIx88zsNuBrwJtm9gjBMYKXAn2Ba9tyGkwmuvLk0Tz07w2s3hH/OMG9lTXcP28tL60s44lrT6UgN7uTIxQREZFkazFpNLPGy69Xmtn0OF2zCY77Gwn8OWIMo2Oe8ZVm+swB7q//xd3/YWanA98GLgYKCI4W/Bpwe+w51TFj7jCztcD1BPUfswg229zQ3Hna7n6dmb1FMLN4NcEs6iLgZnd/ItrXzBx5OVnc+vGjufy38zlQ1fxS9Mrt+3ns9U1cOm1EJ0YnIiIiHaHFs6fNLHap2YEmU4ChOmAnMBP4b3dP78KESZbOZ0+3ZPveSv782gYeWbSBDeUH4/aZMLAXz3zlA8SZPRYREZEuKKGzp909q/6HIGG8KbYt5ifH3Qe6+yeVMHYfA4oL+O+zxjPn+jP48+dOjLuzetm2fbyyamcKohMREZFkirIR5jPAPzoqEElfWVnGSWP7cdulxzBtVJ8m9+99eU0KohIREZFkanPS6O6/d/c3OzIYSX9XnTK6SdvMpdtZWxZ/04yIiIikh8i7p81sADAV6EOweaUJd3+gnXFJmjp70kCG9u7Bpt3vv+PoDvfPW8tNcU6UERERkfTQ5qTRzHIJahfW7zyO241gw4ySxm4qJzuLK04eyY+fWtqg/ZGFG7nunMPoVZCboshERESkPaLMNP6A4L3GVcCDwAaC4/pEGrh06gh+/twKDsacDLP/UA1/WbCRz57adPlaREREur4oSeMnCc5aPtbd49dXEQFKCnO5ZMow/vDqugbtv5+3litPHkV2lsrviIiIpJsou6cHAE8pYZS2uPKUUU3a1pdXMPPdbekPYx0AACAASURBVJ0fjIiIiLRblKRxPVDcUYFIZhlb2pPpE0qbtN/38trOD0ZERETaLUrSeD9wnpmVdFAskmE+E6f8ziurd/Lulr0piEZERETaI0rS+FPgJeB5MzvDzDTrKC06bXx/xg3o2aT9Lws2pCAaERERaY8oSWM1cAkwBXge2GVmtXF+tKNaADAzrjhpZJP2f76+meraujgjREREpKuKsnv6RYIajCJtduHRQ/nBk+9SVfN+krjzQBUvLNvB2ZMGpjAyERERiaLNSaO7T+/AOCRDlRTmcvbhA3nyrS0N2h9duFFJo4iISBqJsjwtkpCLpwxt0jZz6TZ2HahKQTQiIiKSiISSRjMrMrNjzewDyQ5IMs9p40vp3zO/QVt1rfPEm5tTFJGIiIhEFSlpNLNhZvYosAtYAMyOuXeqmb1jZtOTG6Kku5zsLD5yzJAm7Y8s2pSCaERERCQRbU4azWwwMB+4CHgCeAWIPQ9uPsGpMZcmM0DJDBdPGdak7Y0Nu1m5fX8KohEREZGoosw0fpcgKTzb3T8GPBd7092rCXZYn5K88CRTHD64mEmDm5b2fHTRxhREIyIiIlFFSRo/BPzT3We30Gc90HQdUoT4s41/X7SJ2jpVchIREenqoiSNA4EVrfSpBooSD0cy2UXHDCEnyxq0bd1bybxVZSmKSERERNoqStJYDgxvpc9hwNbEw5FM1r9nPtMnlDZpf3ShlqhFRES6uihJ48vAhWY2KN5NMxsPnEvMjmqRxi4+rukS9TNLtrKm7EAKohEREZG2ipI03gwUAHPM7DygEN6r2Xge8DhQB9ya9CglY8w4fAAlPXIbtFVW13H2bXO48R9vs31fZYoiExERkZa0OWl09/nA54FRBCV3rg9v7Q1/Hw181t2XJDlGySD5OdlceHTTvVI1dc4fXl3H6f/7Arc+u4y9ldUpiE5ERESaE6m4t7vfCxwJ3A68BqwCFgF3AZPd/cGkRygZ5/ITR5LdaENMvYPVtdwxayVn3zZHG2RERES6EHNXuZOONnXqVF+wYEGqw+hSnnl7Czf8423K9jd//rQZXDtjPF+eMY6cbB2TLiIi0hnMbKG7T23crv8nlpQ498jBzPn6GXzt7MPomZ8Tt4873D5zBZ+8Zz5b9hzs5AhFREQkVuSZRjPLAoYCw4DceH3cfW77Q8scmmls2c79h/jV7FX88dV1VNXWxe3TuzCXmy85mrMnDezk6ERERLqX5mYaIyWNZvZ1gg0w/Vvq5+7ZkSPMYEoa22ZDeQXX//UN5q8pb7bPx44dyo3nT6JPUV4nRiYiItJ9tDtpNLObgO8AOwnK62wCauL1dffvJRxpBlLS2Ha1dc4ds1Zw+8wVNHe6YL+iPG668AjOnzwYs/gbakRERCQxyUgaNwCHgCnuvifJ8WU0JY3Rvbp6J//90GK27T3UbJ+zDh/ADz5yJINLenRiZCIiIpktGRth+gH/VMIoneHEMf14+r9P48yJA5rt8/y72znntrk8OH8ddc1NS4qIiEhSREkaVwJ9OioQkcb6FuXx2yum8r8XT6ZXQfwd1vsO1fDtv7/NJ+55VUcRioiIdKAoSeNdwPnNnT0t0hHMjP+YNpyZXzudc49o/h+9+WvKOfcXc7l7zipqmtmBLSIiIomLunv6NuAi4PsEJ8HEXap29/VJiS5D6J3G5Hn6rS3c+NgSyvY3/67jkUOLuffKaQzoVdCJkYmIiGSGZBX3foNgifpe4HVgTZyf1e0LVaR55x01mJlfO52PTxnWbJ+3N+3lcw8s1HuOIiIiSRT/RbE4zOy/gP8jKLPzArCZZkruiHSkksJcbv740Vx0zFC++fc32VDe9LSYNzbs5qm3t3D+5CEpiFBERCTzRCm5sxQoAU529zUdGlWG0fJ0x6moquHWZ5dz78traPyP8pjSIp79ymk6t1pERCSCZCxPjwQeUcIoXUlhXg43nj+J33yqyT/brN5xgMde35yCqERERDJPlKRxE82cNS2SamcdPoATx/Rt0v6Lmcup1m5qERGRdouSND4AfMjMenVUMCKJMjOuP2dCk/YN5Qf564KNKYhIREQks0RJGn8MvAY8b2bTk5k8mtklZnaHmb1oZnvNzM3sj830HRXeb+7noRY+5woze83M9pvZHjN7wczOb6F/tpl91czeNLODZlZuZk+Z2cnJ+N6SXFNH9WX6hNIm7XfMWkFldW0KIhIREckcbd49TXDuNIABMyGY3YnD3T3KcwFuAI4G9gMbgYltGPMG8I847W/H62xmtwDXhc+/B8gDLgMeN7Nr3f3ORv0NeAi4BFgG3An0BS4F5prZxe7+WBvilE503dkTeGHZjgZtW/ZU8ufX1vOZU0anKCoREZH0FyW5exHoqMJ3XyVI5lYCpwOz2zDmdXe/qS0PD2cGrwNWAdPcfVfYfjOwELjFzJ5w97Uxwy4jSBjnAWe6e2U45m7gJeAeM5vl7vvaEoN0jqOGlfDBIwbyryXbGrT/avYqLp02nMK8qH+fEREREYiQNLr79I4Kwt3fSxKbmb1sry+E1x/VJ4zh5641s18BNwKfAb4bM+aa8HpDfcIYjvm3mT0MfIogqbyvIwKWxH317MN49p1tDUrwlO0/xKk/m02/ojxKeuRS0iOXI4aWcOm04Qzt3SN1wYqIiKSJdC5gN8TMPm9m3wqvk1voOyO8PhPn3tON+mBmBcDJQAXBDGurY6TrmDiomAviFPUuP1DFiu37WbBuFzOXbuf2mSs489YX+MXzyzlYpXceRUREWpLOSePZwN3Aj8LrG2Y228xGxHYysyJgKLDf3bfEec6K8HpYTNtYIBtY7e7xTr2JN0a6kK+cNZ6sNkxaV1bX8YvnV3DWbXN44s3NRDmLXUREpDuJcozgd9rY1d39BwnG0xYVwA8INsHUn3M9GbgJOAOYaWbHuPuB8F5JeN3TzPPq23vHtCUypgEzuxq4GmDEiBHNdZMOMqa0J5cdP4I/zV/fpv6bdh/kS39azP0j13LWpIFMHNSLiYOKGVic31GvTIiIiKSVKLsCbmrhXv30jIV/7rCk0d23A40T2Llmdg7BBpUTgP8CftlRMbSFu/8G+A0ExwimMpbu6rsXTKK21nnyrS3sP9S2Y9IXrNvFgnXvvfZK78JcDh9UzDEjenPciD4cN6I3/Xrmd1TIIiIiXVaUpPGMZtp7A9OALwNPEiwVdzp3rzGz3xIkjafxftJYPytYEnfg++27Y9oSGSNdTH5ONj+7ZDI/vfgoKqpq2XOw+r2fme9u476X11JT13I+v7uimldW7+SV1TvfaxvZr5ApI/rwoaMGc8bEAWS3ZR1cREQkzUXZPT2nhduPhTuKXyOobZgq9QX6iuob3P2AmW0ChprZ4DjvNY4Pr8tj2lYBtcAYM8uJ815jvDHSRZkZRfk5FOXnMCTcKX3imH5cdvwIfvTku8xauj3S89btrGDdzgr+tngTw/v24FMnjuQ/pg6nd2FeR4QvIiLSJSRtI4y7vwU8BnwrWc9MwInhdXWj9lnh9dw4Y85r1IewxM48oBD4QFvGSPoZW9qTe6+cxn2fmcaY0qLWB8SxofwgP35qKSf+ZCb/8+ibrNy+P8lRioiIdA3J3j29Hjgyyc9swMyOM7MmcZvZmQRFwgEaH0FYv2T+bTPrEzNmFPBFgtNuGtdb/HV4/WFYgqd+zDSCU2F2AI8m9i2kKzljwgCe++rpPHz1idx4/iQ+PmUYRw0tIT+n7f/zqKyu46F/b+C8X87l4X+3bfONiIhIOkn28RgnAAejDjKzjwAfCX8dFF5PMrP7wz+Xufv14Z9vA8ab2TyCU2Qg2D1dXzPxRnefF/t8d59nZrcBXwPeNLNHCI4RvJTgaMBrG50GA8Ey+8cICngvNrPHgX7hmGzgc+6+N+p3la4pO8s4YUw/ThjT77222jpnTdl+Fq/fzaL1u1m8fhfLtu2jpao81bXONx59i9VlB/jGByeSpfcdRUQkQ1hb69I1rn8YIwcYDnwO+ATwF3f/RKQgzG6i4Wksja1z91Fh388CHyWY0ewP5ALbgFeAO909XjHu+s+5kmBmcRJQBywCbnb3J5rpnwNcC1wFjAMqw8/5YePEtCVTp071BQsWtLW7dGH7Kqt5dXU5D85f1+SM68bOmTSQX1x2jI4uFBGRtGJmC919apP2CEljHS2fPW0ERa9nuPumhKLMUEoaM9PasgM88Mo6/rpwA/sq45f0OXJoMb/99DQGlRTEvS8iItLVJCNpvJ/4SWMdsItg5/Rj7n6oHXFmJCWNme3AoRpufOxt/rYo/t+VeubncMLovhw/ui8njOnHkUOKyclO58OYREQkk7U7aZTEKWnMfO7OXS+s4uZ/LWu1b2FeNqW98snJMnKzs8jNziI/J4tjR/Tm0yeNYnjfwk6IWEREJD4ljSmkpLH7ePLNLXztL69zqKYuofF5OVl8/rQxXDN9rN6FFBGRlGguaWzzGpmZjTWzT5tZv2bu9w/vj2lPoCLp7MOTB/Pw50+if4JHDVbV1HHHrJXMuGUO/1i8Cf2lTkREuooo7zTeQ1AWZ4i7V8e5nwtsAh5192uSGmWa00xj97Nlz0Fu+ddynnl7CweqahN+ztHDSjh70kCOG9GHo4f3pihfs48iItKxkrERZgWwoKVyOmb2IDDV3SckHGkGUtLYfdXU1vHOlr3MX13O/DU7eW1NOXub2WndmiyDiYOKmTqqD2cePpCTxvQjL0IBchERkbZIRtJYAfzS3b/ZQp+fAF9y914JR5qBlDRKvdo6Z/u+Sg5V11FdW0dVbR3Vtc6/lmzldy+uoaq27e9C9srPYfrEAZwzaSCnjS+luEcOZiomLiIi7dNc0hhlrasKKG6lTy9aruUo0q1lZxmDS3o0aT9meG8umzacHz75Ls+9s61Nz9p3qIbH39jM429sBsAMCnOz6ZGXQ2FeNr0Lcxk3oCeHDypm4uBeTBxUTGmvxN61FBERiTLT+BIwDBjfzDuNecByYKu7n5jUKNOcZholihdX7OCHT7zLsm37kv7s/j3zOGF0P6ZPKOX0CaUM6KWi4yIi0lAylqe/ANwFPAZc4+5bY+4NAu4GLiA4x/mupESdIZQ0SlTuztub9rJwXTmL1u9m0fpdbNwV+Vj3Vk0eVsLph5UysLiAvOwscnOMnKwsCnKzmTiol2pGioh0Q8lIGrOAZ4CzgArgTYLd0kOByUAh8DxwrrsnVqQuQylplGTYvq+SV1eX8/w725i9dDv7DiW2oSaKiYN6cc6kgZxzxCCOGFKsdyZFRLqBpBT3DsvqfA+4BiiJubWbYBbye/GWrrs7JY2SbFU1dby6eifPvbONOct3sHVvJVUJFhRvqyElBXzwyEFcNm0EEwZpr5uISKZK6okw4azjRKA3QcK4VLOLzVPSKJ2hpraOiupaDlbVcuBQDRt3HWTZ1n28u3UvS7fsY+X2/ZF2Z7dkysg+fPL4EXx48mAKcrOT8kwREekadIxgCilplK6gqqaOhet2MXvZdmYv3c6K7fvb/czighzOnjSIwSUF9OuZR/+e+fTvmc/YAUXaZCMikqaSPdN4KnAswUzjHmCRu7/U7igzlJJG6Yo2lFcwZ/kOVm7fz6GaoG5kTVg3cl35Ad7etLddz7/ipJF894IjyMrSe5AiIukkGXUaMbMpwB+A+hNfjLAuo5ktAz7t7sqORNLA8L6FXH7iyGbvb959kOff3cazS7bx6uqd1NRF+wvm719ZR1Wt8+OPHqkNNCIiGSDK7ulxwAKCAt8vAbOALcBgYAZwKsGs4/HuvqJDok1TmmmUdLenoprH3tjEn+avZ+nWaPUjP3vqaG748OFKHEVE0kQySu78HrgcuMzd/xrn/iXAQ8CD7n5FO+PNKEoaJVO4O4s37OZP89fzxJubqaxu28aaL88Yx9fO0ZH0IiLpIBlJ4ybgFXe/pIU+jwInuvvQhCPNQEoaJRPtOVjNa2vK2bLnIGX7qyjbf4hNuw4yZ/mOuP2/ce5Erpk+tpOjFBGRqJLxTmN/YGkrfZYC50cJTETSU0mPXM6eNLBJ+8+fW84vZzZ9Q+VnzywlPyeLq04d3RnhiYhIkmVF6LsDmNRKn4lAWeLhiEi6+8pZ47n6tDFx733/iXf474cWs7dSZwCIiKSbKEnjLOBCM7ss3k0zuxi4iOAoQRHppsyMb543kctPHBH3/mOvb+ZDv3yRBWvLOzkyERFpj6i7pxcCPYF5wGyC3dODgOkEu6f3AdO0e7ohvdMo3VFdnXP9I2/wt0Wb4t7PMrh2xniunTGOnOwof38VEZGO1O53Gt19pZmdBTwAnBL+OEGtRoBlwBVKGEUEICvL+N+LJ5NlxiMLNza5X+fwy5krmLV0O988byInj+ufgihFRKStEj0R5mTgOKCEoDbjYnd/OcmxZQzNNEp35u784/VN3PiPJew/VNNsvw+M7883zp3IkUNLOjE6ERFpTGdPp5CSRhFYv7OCrzy8mEXrd7fY7/zJg/nC6WM5YkixCoKLiKRA0pJGMxsJlBIsTe9w9/XJCTFzKWkUCdTU1nHHrJXcMWsFrZ1KOLA4n+mHDeCMiQM4dXx/euZHOvVUREQS1K6k0cz6A98CPgEMaHR7G/Ag8BN313bIOJQ0ijS0cF0533lsCUs2721T/9xs44Kjh3DDhyfRtyivg6MTEeneEk4azWw88BwwnGDTSw2wM/xzX4LNNA6sA85y99XJDT39KWkUaaquznnirS3c+uwy1u2saNOYMaVFPHDV8QzrU9jB0YmIdF/NJY0t1rkwsyyCWcQRwBzgLKCnuw9290FAL+AcYC4wCvhjkuMWkQyVlWVcePQQnvvq6fzgoiPo3zO/1TGrdxzgkl+/wvJt+zohQhERidXiTKOZnQs8BfwF+IQ309mCt9UfBi4GznX35zog1rSlmUaR1h04VMMjCzfy3DvbmL9mJ9W1zf+7qaRHLvdeOY0pI/t0YoQiIt1DQsvTZnYPcDkwwt13tPIBA4D1wO/d/fPtjDejKGkUiWb/oRrmrSxj9rLtPP7Glrilegpys/j15VM4Y0Lj16xFRKQ9Ek0aFwK73P2sNn7I80CJu09LONIMpKRRJHHvbtnLp+99jR37DjW5l5NlXH7iSP7f9LEMKC5IQXQiIpknoXcaCTa/LInwOUuAkVECExFpyeGDi/nbNSczql/TzS81dc7989Zy2s2z+fFT77Jzf9PEUkREkqO1wmfFQMuVeBvaTbA5RkQkaYb3LeSvXziZK+97LW6ZnsrqOn4zdzUPvrqOi44dyqh+hQwu6cHgkgIGlRQwqLhA51uLiLRTa0ljHlAb4Xl14RgRkaQq7ZXPQ1efyNUPLOSV1Tvj9jlQVcuf5jc9b6AgN4vDBxczeWgJRw4t4ahhJYwr7alEUkQkgrYcsaBzBkWkS+hVkMv9V03jV7NX8bsXV3Ogqm1/p62srmPx+t0sjjnCsEduNpOHlXDcyD4cN6IPx43oTb82lP0REemuWtsIU0cCSaO7Z7cnqEyjjTAiyVd+oIr/m7OK37+ylsrquqQ8c0xpEZ88fgSXnziSglz9a0xEuqdEd08n8m9iV9LYkJJGkY6zfV8ld81exZ/mr6eqNjnJ45CSAr569mF87LhhZGdZUp4pIpIu2nX2tLSPkkaRjle2/xDzVu1k464Ktu6pZPPuSrbuPciG8oPsOVid0DMPG9iTr39wImcdPoDgDAMRkcynpDGFlDSKpI67s3HXQd7etIc3N+0Jrhv3REok+xblcezw3u+9/3jUsBIKchpuoskyI0uzkiKSAZQ0ppCSRpGuxd1ZXXaARet2sWj9bhav38Wybftoz78OswwmDCrm1HH9OHV8KceP6kuPPL2pIyLpp8smjWZ2CXA6cAxwNEGdxwfd/fIWxpwM3ACcCPQAVgD3Ane4e9ztlGZ2PnA9cCyQTVCI/C53/30Ln3MF8EVgEkHpocXALe7+RJTvqKRRpOtbvm0f//vMMp5/d1tSnpeXncWUkX04ZkRvxpb2ZGxpEWMH9KS4IDcpzxcR6ShdOWl8nSBZ3A9sBCbSQtJoZhcBjwKVwMNAOXABMAF4xN0/HmfMl4A7gJ3hmCrgEmAYcKu7Xx9nzC3AdWFMjxDUn7wM6Atc6+53tvU7KmkUSR8L1pbzs2eW8u+1uzrk+QN65TOkdw/698ynf8+8965HDi1hysg+endSRFKuKyeNZxAkZisJZhxn00zSaGbFYb8S4BR3XxC2FwCzgJOAT7j7QzFjRgFLgQPAFHdfG7b3Af4NjAVOdvdXYsacDLwMrAKmufuumGctBIqAifXPao2SRpH04u7MfHc7981bw4K1uzhUk5xd2a05amgJ3zh3IqeO798pnyciEk9zSWNbint3KHefXf/nNvwN+xKgFHigPmEMn1FpZjcAM4FrgIdixlwF5AM/i03y3H2Xmf0Y+B3wBeCVmDFfCK8/qk8YwzFrzexXwI3AZ4DvtvFrikgaMTPOmjSQsyYNpLq2jne37H3//ccNu9iyu7JJAdvauvb/BfytTXu4/HfzOXVcf75x7kSOGlbS7meKiCRLypPGiGaE12fi3JsLVAAnm1m+ux9qw5inG/Vpy+c8TZA0zkBJo0jGy83OYvKw3kwe1psrT2m+39Y9lby8soyXV5bx4soyduw71HznVry0soyX7nyJ844cxBkTBzBZxx6KSBeQbknjhPC6vPENd68xszXAEcAY4N02jNliZgeAYWZW6O4VZlYEDAX2u/uWODGsCK+HteN7iEiGGVRSwMVThnHxlGG4O8u37eeNDbtZVbafVdsPsHrHftaVV0SakXz67a08/fZW4P3zsycOKmZAr3z698qntGce/XrmM7xPIYNKCjrqq4mIAOmXNNav1exp5n59e++IY4rCfhUJfkYTZnY1cDXAiBEjWuoqIhnGzJgwqBcTBvVq0F5VU8fGXRWU7a+ibP+h4GffIWYt287bm/a2+Mx452fHOnZEb66dMY4zJqgQuYh0jHRLGtOGu/8G+A0EG2FSHI6IdAF5OVmMKe3JmNKG7V856zCeensLt/xrGWt3ViT07MXrd3PV/Qs4cmgx184Yz9mHD1SxcRFJqnRLGutn+Zp7O7y+Pfav4nuA/uG9nS2M2dPoGuUzREQSlpVlnD95CB88YhAP/3sDv5y5IuF3It/etJfP/2EhEwf14pIpwzhuZB+OGFJMfo4KjYtI+6Rb0rgMmErwPuHC2BtmlgOMBmqA1Y3G9A/HvNJozGCCpemN7l4B4O4HzGwTMNTMBsd5r3F8eG3yjqSISHvkZmdx+YkjuWTKMOYu38HrG3bz1qY9vLVpD7srop2fvXTrPn74ZPBqd15OFkcNLeG4Eb05ZVx/ThrbT0mkiESWbknjLOA/gXOBPze6dxpQCMyN2TldP+aUcMwrjcacF9On8ed8KhxzXxvHiIgkRUFuNuccMYhzjhgEvH9+9pLNe9i8u5Ky/YfYGb4XuabsAKvLDrT4vKqaOhau28XCdbu458U19MzPYfqEUs6eNJAzJg7QKTUi0iYpL+4dy8ym03px71VAMW0v7j2aYCe1inuLSMZxd2Yt3c7tM1fwxsbm9u81LzfbmDKyDyeM7scJY/py3Ig+FORqFlKkO+vKJ8J8BPhI+Osg4IMEy8svhm1lscf8hf0fIThG8CGCYwQvJDxGEPgPb/SlzOxa4HaiHSN4K/A1Gh4jeCnQDx0jKCJdjLszd0UZt89cwcJ1iR+BmJttHD2sN5OGFDO4pAdDehcwqLiAIb17MLikQLUiRbqBrpw03kTLRbLXufuoRmNOAb5NMLNYQHC04L3A7e5e28znXABcDxwHZAHvAHe6++9biO1K4IvAJKAOWATc7O5PtOGrvUdJo4h0FnfnzY17mLdqJ4vW72Lx+l2U7a9KyrOL8rI5ZVx/ZkwcwPQJA1QbUiRDddmksTtQ0igiqeLubCg/yML15bywbAezlm5nX2VNUp59+OBizphQyqnj+zNlZB9trhHJEEoaU0hJo4h0FVU1dcxfs5Nnl2zjuXe2sXVvZVKeW5CbxfGj+/GBcf05ZkRveuRmk5Nt5GZnkZuVRW5O+OfsLPKys8jNNrKzTIXIRbogJY0ppKRRRLoid2fVjv28urqc+WvKmb96J9vbcWZ2VHnZWYzoV8jY0iLGlvZkbGlPRvUvoqRHLkX52RTm5tAjL5u8HL1HKdKZlDSmkJJGEUkH7s66nRW8uWkPW3YfZMueSrbsCa5rdhxg36HkLGtHlZtt9MjNpig/SCIL84KEMj83mLnMyTJyc4IZzAHF+Rw+qJgJg3oxtrSnEk6RBDSXNKZbnUYREekgZsao/kWM6l/U5F5NbR2LN+xm1tLtzF66naVb93VaXNW1TnVtDXsjvouZk2WMG9CTSYOLOXZEb44d0YeJg3ppB7hIgjTT2Ak00ygimWbLnoPMWbaDl1aWMW/VTsoPJGeHdkcrzMtm8rASJgzsRX5uNrnZ779rmZ+TRUmP3Pd/CnPpVZBLXvge5nvvaGbrXUzJbFqeTiEljSKSyerqnHe27OXllWXMX1POzgNV1NTWUV1bF84S1lFVU0dNnYdtQXttXfr+/0+wXJ4dLJfn5lCYn01xQW7DpLNHLgX1S+hhspmXnRU34Rw3IHivU8no/2/vzoPkOMs7jn+f2Z29pZVW2pVkyZcOyydBXMZ2ybYcbGzAYM7kD65gE6AKHDuAHVIQSFXCEcqJHUPFxWkSnCLhiiG2kfEhG2PihMJgg7FkXTaytOwh7Uq7OzuzM/Pkj7dXGg0zmt31XNr5faq6eqf77Zl3+lX3PHrft99X6oGap0VEpCJiMePsld2cvbKb9120ZsbHjUyk2DE4zo7BsbAMjLF3ZJLEVIaJVJqJZIbxVJp6jC0TUxkSUwWHBZ6zl5y0iBsvP51zVy8p6/uKlItqGqtANY0iInPj7iTTWRKpEECGAj2OeAAAEZNJREFUdQgqpzLOVDpLOpsllXESqTQ7Bsf57b6DPN1/iMEqPgleTpvW93LD5adzxoqFtc6KNCjVNIqIyHHHzGiLN9EWb2JxZ8usjh0eS/LUvoM8/txINDvOCKOJqQrltHwe3DrIlm2DXH7Wck7s6SDeZDTHYrQ0x+hqbWbdsi5OX76QnlmeD5EXSkGjiIjMS0u6Wtm4rpeN63qB0Pdy59A4T+wZ4cDEFFOZLOlMqKWcymSZSKYZTUwdtYwnM6EmMx36YaazYV1p7nDPr/uPmaZvQSunr1jIur4uejpbDvejXNQRZ3FHC2v7umiLa5YeKR8FjSIi0hBi0RA8a/u6XtD7ZLJ+VL/LiajpfHTiSLA5kpjiYGLq8IM/6YyTiv7O7xW2a2icZwbGZp2PgUNJBg4N8vC2wYL7W5pivPjERZy7uodzT13CS05eREeLfvZl7tSnsQrUp1FERIrJZp07f/U8N927jT0HEhX7nKZYGCQ938K2ZpYuaGVpVytLu1pY2tXKwvZ4GES9pZmOlvCUeFvz0UMUxZuMBW1xehe00hTTU9/zifo0ioiI1KFYzHjjhlW85pwV/Ptjz/GFB7YzXIFxLzNZZ6zArD5jyTR7R+c+B3lTzOhb0MqK7jZWdLdzYk8H561Zwrmn9qh5fJ5RTWMVqKZRRERmajyZ5pHtQ+w5kDiq32UqnWXvSIKt/YfYMThGuh7HIsrRHm/igrVLuHh9HxvXLWVRewvxZjs89aPGpKxfGty7hhQ0iohIOSXTGXYMjLP19wfZOzIZ+lFOpA73qdw+MM7QWH0POdQWj7G2r4tzVi7inJXdvGhVN6ctW6D5wuuAgsYaUtAoIiLV5O7sGhrnsV37eWznMI/t2s++F9AEXS3xJmPZwraof2XoY9m7oJWzTljIRaf10d6i5u5qUNBYQwoaRUSk1iZS6T+YujGbhf0TKYbHkgyNJRkcC39PpDKMJ9NMRAOpT6QyJNPZaHrIaGrITJYD4ykOTFRn7Mv2eBOXnNHHa89Zwab1CiArSQ/CiIiINLBiw+10d8Q5dWnnnN83kcqwbzRB/+gkew4keHTHEA9tGyx7MJmYynDXE/u464l9tMebOG35AmbSK3JpVwsb1/Vy6ZnLOGFRe1nz1GhU01gFqmkUEZFGksk6v9ozwpanB3jomSH27J+IxqwMtZS1eojnnJXdXHbmMi45o49Tl3Zq3Moi1DxdQwoaRUREjnB3Bg4leXLPKE8+f2Sp9nzh3e3xaKigNpZ3t9Hb1cqSvP6UqxZ3NNzDOWqeFhERkbpgFh54WXZmG686c9nh7aOJKYbGkgwdSjI0lmJoLMlv9o6y+Te/r8i84dNPmz/df6homqaYcXJPB6t7u1jT18mapV0s7247HFj2dLbQ3NQYQaVqGqtANY0iIiJzN5XJ8uiOYe56Ym/FAsi5MoPFHS2HZ9NZkjOzTmdLE/HmGPFY7PAYlV2tzSztaqV3QSs9nS3E6zDgVPN0DSloFBERKY+pTJYdg2NMpDIl06bSWX62Y5jNv+k/Zm1iLS3uiLO4o4X2liY6W5rDunV62sYQbDbHYrQ0h6kbm2MxTurp4M0vXVWxPKl5WkRERI578aYYpy9fOOP0r1y9hOsvPY3nhie496l+tmwdZNfQOP0HJ/9gCKJaODAxNesnzc9bvaSiQWMxChpFRERk3jtpSQfXbFzNNRtXA+EJ76GxJHtHEuwbnWTg4OThfpTTY1Y+fyBRlzPrNDfVZgpGBY0iIiLScJpi0cM4C9vYcIx0o4kpdg6OsXNwnB2DYzy7fyIaDD0EmCNVGtw8V0uN+kEqaBQREREpors9zoaTFrPhpMUF96fSWfaPp6LaySTDUTA5PJYkmc4eNT5lKp1lZGLqcG3mXAdAr9XDMwoaRUREROaopTnG8micx9lKZ0LAeXAyTSKVYTx1ZD05NT1tY5ZUxo/6e03v3GfweSEUNIqIiIjUQHNTjL6FbfTN/Lmemqq/wYFEREREpO4oaBQRERGRkhQ0ioiIiEhJChpFREREpCQFjSIiIiJSkoJGERERESlJQaOIiIiIlKSgUURERERKUtAoIiIiIiUpaBQRERGRkhQ0ioiIiEhJ5u61zsO8Z2aDwLNlfMulwFAZ30/KQ+VSv1Q29UnlUr9UNvWpWuVysrv35m9U0HgcMrOfu/vLap0POZrKpX6pbOqTyqV+qWzqU63LRc3TIiIiIlKSgkYRERERKUlB4/HpS7XOgBSkcqlfKpv6pHKpXyqb+lTTclGfRhEREREpSTWNIiIiIlKSgkYRERERKUlB43HCzFaZ2dfMbK+ZJc1st5ndbGaLa523+czMlpjZNWb2fTPbbmYJMxs1s0fM7GozK3gNmdn5Zna3me2PjnnCzK4zs6Zqf4dGYmZvNzOPlmuKpHmdmW2JynHMzB4zs3dVO6+NwMz+OLp2+qP71l4z22xmrymQVtdMFZjZa83sXjPbE53nnWb2bTM7r0h6lUuZmNlbzOxWM/uJmR2M7lPfLHHMrM9/Je9x6tN4HDCzNcCjQB9wJ/A08ApgE7AVuMDdh2uXw/nLzN4P/AuwD3gQeA5YBrwJ6Aa+C7zVcy4kM3tDtH0S+A9gP3AlsB74jru/tZrfoVGY2YnAk0AT0AW8192/kpfmg8CtwDChbFLAW4BVwE3u/pGqZnoeM7N/AD4K7AHuIQxI3Au8FLjP3W/ISatrpgrM7HPADYR///9FKJO1wOuBZuCd7v7NnPQqlzIys18CfwSMEa6L04E73P3tRdLP+vxX/B7n7lrqfAE2Aw58KG/7P0bbb6t1HufrAlwSXaSxvO3LCQGkA2/O2b4QGACSwMtytrcRAn8H/rTW32u+LYAB9wE7gM9H5/mavDSnRDffYeCUnO2Lge3RMefV+rvMhwV4b3Q+bwdaCuyP5/yta6Y6ZbIcyAD9QF/evk3Red6pcqloGWwC1kX3q4ujc/jNImlnff6rcY9T83Sdi2oZLwN2A1/M2/1JYBx4h5l1VjlrDcHdH3D3H7p7Nm97P3Bb9PLinF1vIdSmfMvdf56TfhL4ePTyA5XLccO6lhDg/xnhmijkPUAr8AV33z290d0PAJ+OXr6/gnlsCGbWCvw94T9Vf+7uqfw07j6V81LXTHWcTOiS9pi7D+TucPcHgUOEcpimcikzd3/Q3Z/xKJIrYS7nv+L3OAWN9W9TtL63QOByCPgp0AG8stoZE6Z/+NI52y6J1j8qkP5hYAI4P/phlTIwszOAzwK3uPvDx0h6rLK5Jy+NzN2lhB+77wHZqA/djWb2F0X6zemaqY5nCE2VrzCzpbk7zOxCYAGhtn6ayqW25nL+K36PU9BY/9ZH621F9j8TrU+rQl4kYmbNwDujl7kXaNHycvc0sIvQd2h1RTPYIKJy+DdCrdZfl0h+rLLZR6ihXGVmHWXNZON5ebSeBB4H/psQ1N8MPGpmD5lZbo2WrpkqcPf9wI2EPtlPmdmXzOwzZvafwL3Aj4H35RyicqmtuZz/it/jFDTWv+5oPVpk//T2RVXIixzxWeBs4G5335yzXeVVXX8DbADe7e6JEmlnWjbdRfbLzPRF648S+lBtJNRivYgQnFwIfDsnva6ZKnH3mwkP8TUT+p3+FfBW4HfA7XnN1iqX2prL+a/4PU5Bo8gsmdm1wIcJT7G/o8bZaVhmdi6hdvEmd/9ZrfMjh03/rqSB17v7I+4+5u5PAm8kPDV6UbEhXqRyzOwG4DuEB5TWAJ2Ep9l3AndET7yLFKWgsf6V+p/B9PaRKuSl4UXDGdwCPAVsipp8cqm8qiBqlv5XQjPMJ2Z42EzLptj/0mVmpv9tP57bGR/A3ScIo0FAGDYMdM1UhZldDHwO+IG7/6W773T3CXf/BSGYfx74sJlNN3eqXGprLue/4vc4BY31b2u0LtZncV20LtbnUcrEzK4jjH/1a0LA2F8gWdHyigKdUwk1MDsrlc8G0UU4x2cAkzkDejthVAGAL0fbbo5eH6tsVhBqXfZEgY3M3fR5LhZMHIjW7Xnpdc1U1uui9YP5O6J/8/9LiAk2RJtVLrU1l/Nf8Xucgsb6N32BX5Y/+4iZLQAuIDxF9T/VzlgjMbMbgX8CfkkIGAeKJH0gWl9eYN+FhCfdH3X3ZPlz2VCSwFeLLI9HaR6JXk83XR+rbK7ISyNzdz+hL+OZRWZMOjta74rWumaqY/op294i+6e3Tw+RpHKprbmc/8rf42o92KWWGQ0IqsG9a3v+PxGd558DPSXSLgQG0YC4tSyvT1F4cO9T0eDe1SqDO6PzeX3e9suALKG2sTvapmumOmXytuhc9gMr8/ZdEZVLAliicqlKeVxM6cG9Z3X+q3GP0zSCx4EC0wj+FjiXMIbjNuB81zSCFRHN13k7YSaFWyncF2S3u9+ec8xVhM7mk8C3CFM/vZ5o6ifgba4Lr2LM7FOEJupC0wh+CPhnNI1gRZnZKsI960RCzePjhB+0qzjyY/fdnPS6ZiosqvXdDLyKMJD39wkB5BmEpmsDrnP3W3KOUbmUUXQ+r4peLgdeTWhe/km0bSj3HjSX81/xe1yto20tM/5fyYnA1wlzIKeAZwnjni2udd7m88KRWqtjLVsKHHcBcDehRiVBmBP5eqCp1t9pvi8UqWnM2X8l8BDhh3Mc+D/gXbXO93xbCM2dt0b3qhRhnuPvA68okl7XTOXLJA5cR+jOdJDQJ26AMJbmZSqXip//Ur8nu8tx/it5j1NNo4iIiIiUpAdhRERERKQkBY0iIiIiUpKCRhEREREpSUGjiIiIiJSkoFFERERESlLQKCIiIiIlKWgUERERkZIUNIqINBgzO8XM3Mxur3VeROT4oaBRRKRCosAsd8mY2X4z22Jm7zYzq3UeRURmqrnWGRARaQB/G63jwFrgjcBFwMuAD9YqUyIis6FpBEVEKsTMHMDdLW/7BcDDgAFr3H1XlfN1CrAL+Ia7v7uany0ixy81T4uIVJm7/xR4mhA0vjR3n5m1mNkHzexuM3vWzJJRk/Z9ZnZFofczs93R0mlmnzez56LjtpvZjTNtBjezmJndEjWlf8/M2l/wlxWReUPN0yIitTWV97oHuAV4FPgxMAisAK4E7jaz97r7Vwq8TxzYDJwA3AOkgauAzwJtHGkiL8jM2oA7gDcBXwSudffsHL+TiMxDap4WEamQYzRPXwg8SAjsTnH3fTn7WoFed9+Td0w38FNCULjS3RM5+3YDJxOCxTdP7zOzPmBblKzX3aei7aeQ0zxtZj3AD4DzgY+5++fK8f1FZH5RTaOISIWZ2aeiP3MfhDHgI7kBI4C7J4GjAsZo+6iZfQ24CXg5oU9kvmtzg0l3HzCzO4F3AuuBXxfI28nAj4A1wDvc/Y5Zf0ERaQgKGkVEKu+Tea8duNrdv14osZmdBXwUuJDQNN2Wl2RlgcNG3X17ge2/i9aLC+xbD/wM6ASucPf7C2dfRERBo4hIxU03T5tZJ3Ae8FXgNjN71t0fyE1rZq8EHiDcn+8nNBsfBLLAi4E3AK0FPmakyMeno3VTgX2nEfpQ/hL4xSy+kog0IAWNIiJV4u7jwH1mdiUhSPuGma1394mcZB8H2oFN7r4l93gz+xghaCyXHwJbgU8D95vZpe4+XMb3F5F5REPuiIhUmbs/AXwZWAVcn7d7LbA/P2CMXFSBvHwmysMGYIuZLSv3Z4jI/KCgUUSkNv4OSAIfMbPc/oa7gR4ze1FuYjO7Gnh1JTLi7jcDHwDOAh4ysxMq8TkicnxT0CgiUgPu/jxwG7AIuCFn183R+hEz+4qZ3WRmDwFfAr5TwfzcBrwHWAc8bGYnVeqzROT4pKBRRKR2PgNMANdONwu7+48IA3k/BfwJcDWhRnITcFclM+PutwNvJ4z5+LCZra7k54nI8UWDe4uIiIhISappFBEREZGSFDSKiIiISEkKGkVERESkJAWNIiIiIlKSgkYRERERKUlBo4iIiIiUpKBRREREREpS0CgiIiIiJSloFBEREZGSFDSKiIiISEn/DzxhZYowO8+gAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "word_and_frequency_pairs = document_frequency_counter.most_common(100)\n", + "\n", + "plt.figure(figsize=SMALL_FIGSIZE)\n", + "\n", + "y = [p[1] for p in word_and_frequency_pairs]\n", + "x = list(range(1, 1 + len(y)))\n", + "\n", + "plt.plot(x, y, lw=LINEWIDTH)\n", + "\n", + "plt.xlabel('Rank')\n", + "plt.ylabel('Document frequency')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Term frequency\n", + "\n", + " 1th percentile: 1.00\n", + " 5th percentile: 1.00\n", + "10th percentile: 1.00\n", + "25th percentile: 1.00\n", + "50th percentile: 2.00\n", + "75th percentile: 5.00\n", + "90th percentile: 21.00\n", + "95th percentile: 55.00\n", + "99th percentile: 317.00\n", + "\n", + "Document frequency\n", + "\n", + " 1th percentile: 1.00\n", + " 5th percentile: 1.00\n", + "10th percentile: 1.00\n", + "25th percentile: 1.00\n", + "50th percentile: 1.00\n", + "75th percentile: 3.00\n", + "90th percentile: 14.00\n", + "95th percentile: 35.00\n", + "99th percentile: 188.00\n", + "\n" + ] + } + ], + "source": [ + "for counter, title in zip(\n", + " [term_frequency_counter, document_frequency_counter],\n", + " ['Term frequency', 'Document frequency']):\n", + "\n", + " print(title)\n", + " print()\n", + "\n", + " for p in [1, 5, 10, 25, 50, 75, 90, 95, 99]:\n", + " result = np.percentile([pair[1] for pair in counter.most_common()], p)\n", + "\n", + " print(f'{p:2d}th percentile: {result:6.2f}')\n", + " \n", + " print()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Filtering too frequent and too rare words" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "33272\n" + ] + } + ], + "source": [ + "vocabulary_filtered_by_term_frequency = set(\n", + " p[0] for p in term_frequency_counter.most_common()\n", + " if p[1] >= 2.0 and p[1] < 100\n", + ")\n", + "\n", + "print(len(vocabulary_filtered_by_term_frequency))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "27560\n" + ] + } + ], + "source": [ + "vocabulary_filtered_by_document_frequency = set(\n", + " p[0] for p in document_frequency_counter.most_common()\n", + " if p[1] >= 2.0 and p[1] < 35.0\n", + ")\n", + "\n", + "print(len(vocabulary_filtered_by_document_frequency))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What words were filtered by term frequency but not by document one" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'ei', 'filename', 'oname', 'di', 'stl', 'tq', 'aw', 'chz', 'det', 'cx', 'echo', 'ri', 'bj', 'lk', 'sk', 'wiring', 'r_', 'lib', 'biz', 'chi', 'hm', 'mv', 'rlk', 'azerbaijani', 'fp', 'nb', 'yf', 'mn', 'tg', 'kh', 'ff', 'outlet', 'qq', 'cipher', 'rl', 'ey', 'lj', 'gc', 'vw', 'eq', 'ww', 'fyn', 'azeri', 'buf', 'ez', 'char', 'bn', 'wm', 'sj', 'qax', 'iq', 'bm', 'kn', 'pu', 'lg', 'rk', 'mk', 'mov', 'b_', 'homicide', 'giz', 'stephanopoulos', 'que', 'm_', 'jz', 'mf', 'ql', 'greece', 'bhj', 'ripem', 'contest', 'mw', 'tor', 'te', 'nrhj', 'tb', 'pope', 'fij', 'anonymity', 'sq', 'uww', 'uy', 'hj', 'mj', 'myers', 'rg', 'gk', 'printf', 'bxn', 'irq', 'apartment', 'ml', 'eff', 'hiv', 'bh', 'mq', 'gq', 'sumgait', 'ho', 'pit', 'vz', 'cj', 'qy', 'mh', 'im', 'wt', 'ut', 'uw', 'fq', 'ck', 'jpeg', 'okz', 'militia', 'tu', 'yd', 'ra', 'c_', 'zd', 'tl', 'ottoman'}\n" + ] + } + ], + "source": [ + "print(vocabulary_filtered_by_document_frequency.difference(\n", + " vocabulary_filtered_by_term_frequency\n", + "))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As the final vocabulary we take the intersection of the above two" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "27440\n" + ] + } + ], + "source": [ + "filtered_vocabulary = vocabulary_filtered_by_document_frequency.intersection(\n", + " vocabulary_filtered_by_term_frequency\n", + ")\n", + "\n", + "print(len(filtered_vocabulary))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['recoverable',\n", + " 'pilon',\n", + " 'symbolized',\n", + " 'nunn',\n", + " 'junkyard',\n", + " 'sorensen',\n", + " 'mip',\n", + " 'w_',\n", + " 'qume',\n", + " 'yer',\n", + " 'gland',\n", + " 'keith_tkachuk',\n", + " 'irbe',\n", + " 'portability',\n", + " 'stool',\n", + " 'teroru',\n", + " 'overwhelmed',\n", + " 'smug',\n", + " 'miscellany',\n", + " 'incriminate']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(filtered_vocabulary)[-20:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Also we will delete too short words, consisting only of one or two letters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "26955\n" + ] + } + ], + "source": [ + "filtered_vocabulary = set([\n", + " w for w in filtered_vocabulary if len(w) >= 3\n", + "])\n", + "\n", + "print(len(filtered_vocabulary))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Len's count the number of words in each document, but only those words that are in the filtered vocabulary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def count_words(texts, vocabulary):\n", + " text_num_words = list()\n", + "\n", + " for text in texts:\n", + " counter = Counter(text.split())\n", + " num_words = 0\n", + "\n", + " for word in counter.keys():\n", + " if word in vocabulary:\n", + " num_words = num_words + 1\n", + "\n", + " text_num_words.append(num_words)\n", + " \n", + " return text_num_words" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_document_num_words = count_words(preprocessed_train_texts, filtered_vocabulary)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11314" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(train_document_num_words) # i.e. total number of documents" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of filtered words in document\n", + "\n", + " 1th percentile: 0.00\n", + " 5th percentile: 0.00\n", + "10th percentile: 1.00\n", + "25th percentile: 3.00\n", + "50th percentile: 7.00\n", + "75th percentile: 14.00\n", + "90th percentile: 27.00\n", + "95th percentile: 44.00\n", + "99th percentile: 152.61\n" + ] + } + ], + "source": [ + "print('Number of filtered words in document')\n", + "print()\n", + "\n", + "for p in [1, 5, 10, 25, 50, 75, 90, 95, 99]:\n", + " result = np.percentile(train_document_num_words, p)\n", + " \n", + " print(f'{p:2d}th percentile: {result:6.2f}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's take some threshold and filter too big and small documents" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Documents before filtering: 11314\n", + "Documents after filtering: 11112\n" + ] + } + ], + "source": [ + "threshold = 100\n", + "\n", + "print('Documents before filtering:', len(train_document_num_words))\n", + "\n", + "targets, target_sizes = np.unique(\n", + " [t for i, t in enumerate(train_dataset.target) if train_document_num_words[i] < threshold],\n", + " return_counts=True\n", + ")\n", + "\n", + "print('Documents after filtering:', sum(target_sizes))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's won't try to adjust the upper threshold any further: let it be equal 100 words." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "upper_threshold = 100" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Documents before filtering: 11314\n", + "Documents after filtering: 8049\n" + ] + } + ], + "source": [ + "threshold = 4\n", + "\n", + "print('Documents before filtering:', len(train_document_num_words))\n", + "\n", + "targets, target_sizes = np.unique(\n", + " [t for i, t in enumerate(train_dataset.target) if train_document_num_words[i] >= threshold],\n", + " return_counts=True\n", + ")\n", + "\n", + "print('Documents after filtering:', sum(target_sizes))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Several thousand documents were thrown away. Are the topics still balanced?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=SMALL_FIGSIZE)\n", + "\n", + "sns.barplot(targets, target_sizes, alpha=1.0)\n", + "\n", + "plt.xlabel('Topic ID')\n", + "plt.ylabel('Number of documents')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of documents after filtering:\n", + " 8049\n", + "Absolute difference between most and least populated topics (in documents):\n", + " 243\n", + "Relative difference between most and least populated topics (in documents):\n", + " 0.942\n" + ] + } + ], + "source": [ + "print(\n", + " 'Number of documents after filtering:\\n',\n", + " sum(target_sizes)\n", + ")\n", + "print(\n", + " 'Absolute difference between most and least populated topics (in documents):\\n',\n", + " max(target_sizes) - min(target_sizes)\n", + ")\n", + "print(\n", + " 'Relative difference between most and least populated topics (in documents):\\n',\n", + " f'{(max(target_sizes) - min(target_sizes)) / min(target_sizes):.3f}'\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, there actually is some imbalance, but most topics still have roughly equal number of documents" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Maybe there is a better threshold? Below we will go over several values, remembering the maximum difference between numbers of documents in topics (the lower this value, the better)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "quotients = list()\n", + "thresholds = list(range(20))\n", + "\n", + "for threshold in thresholds:\n", + " targets, target_sizes = np.unique(\n", + " [t for i, t in enumerate(train_dataset.target) if train_document_num_words[i] >= threshold],\n", + " return_counts=True\n", + " )\n", + " \n", + " quotients.append(\n", + " (max(target_sizes) - min(target_sizes)) / min(target_sizes)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=SMALL_FIGSIZE)\n", + "\n", + "plt.plot(thresholds, quotients, lw=2)\n", + "plt.hlines(1, 0, 19, linestyle='--', color='r')\n", + "\n", + "plt.xlabel('Threshold\\n(minimum number of unique tokens in document)', labelpad=LABELPAD)\n", + "plt.ylabel('Maximum relative difference\\nin number of documents between topics', labelpad=LABELPAD)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Seems that the biggest acceptable threshold (the one which gives the relative difference less than one) is 4 unique words in document" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lower_threshold = 4" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "good_train_document_indices = [\n", + " i for i, n in enumerate(train_document_num_words)\n", + " if n >= lower_threshold and n < upper_threshold\n", + "]\n", + "\n", + "good_train_document_texts = list()\n", + "\n", + "for i, text in enumerate(preprocessed_train_texts):\n", + " if i not in good_train_document_indices:\n", + " continue\n", + " \n", + " text = ' '.join([w for w in text.split() if w in filtered_vocabulary])\n", + " \n", + " good_train_document_texts.append(text)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7847" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(good_train_document_indices)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_statistics(good_train_document_texts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Also filtering test dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_document_num_words = count_words(preprocessed_test_texts, filtered_vocabulary)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "good_test_document_indices = [\n", + " i for i, n in enumerate(test_document_num_words) if n >= lower_threshold and n < upper_threshold\n", + "]\n", + "\n", + "good_test_document_texts = list()\n", + "\n", + "for i, text in enumerate(preprocessed_test_texts):\n", + " if i not in good_test_document_indices:\n", + " continue\n", + " \n", + " text = ' '.join([w for w in text.split() if w in filtered_vocabulary])\n", + " \n", + " good_test_document_texts.append(text)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4931" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(good_test_document_indices)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_statistics(good_test_document_texts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Train and test dataset parts even after preprocessing satisfy Zipf's and Heaps' laws, and the distribution of documents by lengths is the nearly the same for train and test parts." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TopicNet\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here starts the part connected with topic modeling with the help of BigARTM and TopicNet libraries." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All files, to be further generated in the notebook, are going to be saved in this directory" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "working_directory = tempfile.mkdtemp()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/tmp/tmpviynwz70'" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "working_directory" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def prefix_path(path):\n", + " return os.path.join(working_directory, path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Preparation\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, again, we need to do some things with data: prepare it for future models." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Vowpal Wabbit\n", + "\n", + "
    Back to Contents
    \n", + "\n", + "* https://bigartm.readthedocs.io/en/v0.8.1/formats.html\n", + "* https://bigartm.readthedocs.io/en/stable/tutorials/datasets.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will use only one modality in this notebook. However, it is possible to train topic models for multimodal texts.\n", + "\n", + "* https://bigartm.readthedocs.io/en/stable/tutorials/python_userguide/m_artm.html" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "MODALITY = '@text'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def to_vowpal_wabbit(document_names, document_texts, vocabulary, natural_order=True):\n", + " vw_texts = list()\n", + "\n", + " for document_index, (document_name, text) in enumerate(zip(document_names, document_texts)):\n", + " vw_line = f'{document_name}'\n", + " vw_line = vw_line + f' |{MODALITY}'\n", + "\n", + " if natural_order:\n", + " vw_line = vw_line + f' {text}'\n", + " else:\n", + " counter = Counter(text.split())\n", + "\n", + " for word, frequency in counter.items():\n", + " if word not in vocabulary:\n", + " continue\n", + "\n", + " vw_line = vw_line + f' {word}:{frequency}'\n", + "\n", + " vw_texts.append(vw_line)\n", + " \n", + " return vw_texts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_document_names = [\n", + " os.path.split(document_path)[-1] for i, document_path in enumerate(train_dataset.filenames)\n", + " if i in good_train_document_indices\n", + "]\n", + "\n", + "test_document_names = [\n", + " os.path.split(document_path)[-1] for i, document_path in enumerate(test_dataset.filenames)\n", + " if i in good_test_document_indices\n", + "]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will save data in both formats: natural order and Bag of words order.\n", + "Natural one will help when computing word cooccurrence statistics." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "TRAIN = 'train'\n", + "TEST = 'test'\n", + "\n", + "NATURAL_ORDER_SUFFIX = '_natural_order'\n", + "BAG_OF_WORDS_SUFFIX = ''" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_test_vw_texts = dict()\n", + "\n", + "for natural_order, word_order_suffix in zip(\n", + " [True, False],\n", + " [NATURAL_ORDER_SUFFIX, BAG_OF_WORDS_SUFFIX]):\n", + "\n", + " for document_names, document_texts, dataset_part_name in zip(\n", + " [train_document_names, test_document_names],\n", + " [good_train_document_texts, good_test_document_texts],\n", + " [TRAIN, TEST]):\n", + "\n", + " vw_texts = to_vowpal_wabbit(\n", + " document_names,\n", + " document_texts,\n", + " filtered_vocabulary,\n", + " natural_order=natural_order\n", + " )\n", + "\n", + " train_test_vw_texts[f'{dataset_part_name}{word_order_suffix}'] = vw_texts\n", + "\n", + " vw_text = '\\n'.join(vw_texts)\n", + " vw_file_name = f'{dataset_part_name}_vw{word_order_suffix}.txt'\n", + "\n", + " with open(prefix_path(vw_file_name), 'w') as f:\n", + " f.write(vw_text)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Saved vw texts (we will need them in a couple of seconds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['train_natural_order', 'test_natural_order', 'train', 'test'])" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_test_vw_texts.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['test_dataset.csv',\n", + " 'train_dataset_natural_order.csv',\n", + " 'test_vw_natural_order.txt',\n", + " 'train_dataset.csv',\n", + " 'test_dataset_natural_order.csv',\n", + " 'train_vw_natural_order.txt',\n", + " 'test_vw.txt',\n", + " 'train_vw.txt']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.listdir(working_directory)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "TopicNet models also need special Dataset entity, which is currently a .csv table with certain columns, containing document texts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for word_order_suffix in [NATURAL_ORDER_SUFFIX, BAG_OF_WORDS_SUFFIX]:\n", + "\n", + " for document_indices, raw_texts, dataset_part_name in zip(\n", + " [good_train_document_indices, good_test_document_indices],\n", + " [good_train_document_texts, good_test_document_texts],\n", + " [TRAIN, TEST]):\n", + "\n", + " dataset_table = pd.DataFrame(\n", + " index=document_indices,\n", + " columns=['id', 'raw_text', 'vw_text']\n", + " )\n", + "\n", + " vw_texts = train_test_vw_texts[f'{dataset_part_name}{word_order_suffix}']\n", + "\n", + " dataset_table['id'] = [text.split()[0] for text in vw_texts]\n", + " dataset_table['raw_text'] = raw_texts\n", + " dataset_table['vw_text'] = vw_texts\n", + "\n", + " dataset_table_file_name = f'{dataset_part_name}_dataset{word_order_suffix}.csv'\n", + "\n", + " dataset_table.to_csv(prefix_path(dataset_table_file_name), index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['test_dataset.csv',\n", + " 'train_dataset_natural_order.csv',\n", + " 'test_vw_natural_order.txt',\n", + " 'train_dataset.csv',\n", + " 'test_dataset_natural_order.csv',\n", + " 'train_vw_natural_order.txt',\n", + " 'test_vw.txt',\n", + " 'train_vw.txt']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.listdir(working_directory)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at some table's first rows (this partucular table is not going to be used further, it just still exists as cycle inner variable in Python)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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    " + ], + "text/plain": [ + " raw_text \\\n", + "id \n", + "67445 dpg uncompressed anyones swamped \n", + "77355 iraqi kuwait saudi iraqi swallowed saudi arabi... \n", + "59518 nth yeast brainwashing hated microbiology cand... \n", + "21684 lexicon wordperfect wiped restore distributor ... \n", + "67466 dynamically closing cleanup transition anticipate \n", + "\n", + " vw_text \n", + "id \n", + "67445 67445 |@text dpg:1 uncompressed:1 anyones:1 sw... \n", + "77355 77355 |@text iraqi:3 kuwait:2 saudi:6 swallowe... \n", + "59518 59518 |@text nth:1 yeast:4 brainwashing:1 hate... \n", + "21684 21684 |@text lexicon:1 wordperfect:1 wiped:1 r... \n", + "67466 67466 |@text dynamically:1 closing:1 cleanup:1... " + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "holdout_dataset._data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Cooccurrences\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ATTENTION! This section is semi-manual: one will need to do some things outside of the notebook, namely run instructions in command line.\n", + "If you don't want/can't/don't have enough time to do this kind of stuff, leave the `WITH_COOCS` variable equal `False`, and everything will be fine (you still may run *all* the remaining cells in the notebook).\n", + "However, it is highly recommended to try calculate cooccurrence statistics as described below.\n", + "This will give an opprotunity to evaluate the quality of topic models more thoroughly and thoughtfully.\n", + "To delve into coocs, set `WITH_COOCS` equal `True`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "WITH_COOCS = False" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Topic models basically deal with text in bag-of-words format (when word order doesn't matter).\n", + "Natural order vowpal wabbit files were needed for gathering word cooccurrence statistics.\n", + "And this, in turn, will be needed further for evaluation of the quality of topics of topic models using coherence (one of many BigARTM *scores*).\n", + "\n", + "First, we need vocab in UCI bag-of-words format\n", + "\n", + "* https://bigartm.readthedocs.io/en/stable/tutorials/datasets.html" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['lund @text\\n', 'pina @text\\n']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vocab = ''\n", + "\n", + "for word in filtered_vocabulary:\n", + " vocab += f'{word} {MODALITY}\\n'\n", + "\n", + "with open(prefix_path('vocab.txt'), 'w') as f:\n", + " f.write(vocab)\n", + "\n", + "open(prefix_path('vocab.txt'), 'r').readlines()[:2]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we are approaching the stage of gathering cooccurrence statistics...\n", + "It can be done with the help of BigARTM library (or more precisely BigARTM Command line utility).\n", + "There are several links one can visit to get some knowledge about the process.\n", + "\n", + "* Coherence: https://bigartm.readthedocs.io/en/stable/tutorials/python_userguide/coherence.html\n", + "* Command line utility: https://bigartm.readthedocs.io/en/stable/tutorials/bigartm_cli.html\n", + "* Example of gathering coocs statistics (in Russian): https://nbviewer.jupyter.org/github/bigartm/bigartm-book/blob/master/junk/cooc_dictionary/example_of_gathering.ipynb" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, unfortunately, it is impossible currently (with artm version '0.10.0' at least) to do everything just here in the notebook.\n", + "One should use the command line utility.\n", + "Here is an example of bash command line instruction which helps to run the utility (it might be more convenient to place it into a .sh script)\n", + "\n", + "```bash\n", + "cd && /bigartm/build/bin/bigartm \\\n", + " -c train_vw_natural_order.txt \\\n", + " -v vocab.txt \\\n", + " --cooc-window 10 \\\n", + " --cooc-min-tf 1 \\\n", + " --write-cooc-tf cooc_tf_ \\\n", + " --cooc-min-df 1 \\\n", + " --write-cooc-df cooc_df_ \\\n", + " --write-ppmi-tf ppmi_tf_ \\\n", + " --write-ppmi-df ppmi_df_\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If everything worked fine, now we have coocs data calculated" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['test_dataset.csv',\n", + " 'coocs.sh',\n", + " 'cooc_tf_',\n", + " 'train_dataset_natural_order.csv',\n", + " 'vocab.txt',\n", + " 'test_vw_natural_order.txt',\n", + " 'ppmi_df_',\n", + " 'train_dataset.csv',\n", + " 'test_dataset_natural_order.csv',\n", + " 'train_vw_natural_order.txt',\n", + " 'ppmi_tf_',\n", + " 'cooc_df_',\n", + " 'bigartm.miptai.vasiliyalekseev.log.INFO.20200108-112018.3790',\n", + " 'test_vw.txt',\n", + " 'bigartm.INFO',\n", + " 'train_vw.txt']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.listdir(working_directory)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at the first lines of one of the gerenared coocs files" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['@text pina asserts:7.92826 snap:7.93756 periodically:7.07306 oxidize:10.6645 clip:7.01754 independently:7.70512\\n',\n", + " '@text periphery accor:8.2872 inherent:5.65684 evolved:6.9239 atheistic:6.64791 measuring:6.56878 theistic:7.47965 disputed:6.04714 valued:6.46559 leap:5.08668 selfish:5.5493 selfishness:7.40169 assign:6.96343 unnecessary:5.1193 idle:4.54522 stance:5.94598 exposition:8.09483 intrinsically:6.28245 theist:4.86403 resemblance:6.93168 qualitatively:7.79473\\n']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "if WITH_COOCS is True:\n", + " print(\n", + " open(prefix_path('ppmi_tf_'), 'r').readlines()[:2]\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It would seem that this should already be enough, but according to the mentioned link https://bigartm.readthedocs.io/en/stable/tutorials/python_userguide/coherence.html the author of this notebook didn't manage to run the needed BigARTM score...\n", + "Therefore, we need another little preprocessing." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def transform_coocs_file(source_file_path, target_file_path, vocab_file_path):\n", + " \"\"\"\n", + " source_file is assumed to be either ppmi_tf_ or ppmi_df_ \n", + " \"\"\"\n", + " num_times_to_log = 10\n", + "\n", + " vocab = open(vocab_file_path, 'r').readlines()\n", + " vocab = [l.strip().split()[0] for l in vocab]\n", + " \n", + " cooc_values = dict()\n", + " word_word_value_triples = set()\n", + " \n", + " lines = open(source_file_path, 'r').readlines()\n", + " \n", + " for i, l in enumerate(lines):\n", + " if i % (len(lines) // num_times_to_log) == 0:\n", + " print(f'{i:6d} lines out of {len(lines)}')\n", + " \n", + " l = l.strip()\n", + " words = l.split()\n", + " words = words[1:] # exclude modality\n", + " anchor_word = words[0]\n", + " \n", + " other_word_values = words[1:]\n", + " \n", + " for word_and_value in other_word_values:\n", + " other_word, value = word_and_value.split(':')\n", + " value = float(value)\n", + " \n", + " cooc_values[(anchor_word, other_word)] = value\n", + " cooc_values[(other_word, anchor_word)] = value # if assume cooc values to be symmetric\n", + " \n", + " word_word_value_triples.add(\n", + " tuple([\n", + " tuple(sorted([\n", + " vocab.index(anchor_word),\n", + " vocab.index(other_word)\n", + " ])),\n", + " value\n", + " ])\n", + " )\n", + " \n", + " new_text = ''\n", + " \n", + " for (w1, w2), v in word_word_value_triples:\n", + " new_text += f'{w1} {w2} {v}\\n'\n", + " \n", + " with open(target_file_path, 'w') as f:\n", + " f.write(''.join(new_text))\n", + " \n", + " return cooc_values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`cooc_values` is a dictionary which maps a word pair to its cooc value" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 0 lines out of 21910\n", + " 2191 lines out of 21910\n", + " 4382 lines out of 21910\n", + " 6573 lines out of 21910\n", + " 8764 lines out of 21910\n", + " 10955 lines out of 21910\n", + " 13146 lines out of 21910\n", + " 15337 lines out of 21910\n", + " 17528 lines out of 21910\n", + " 19719 lines out of 21910\n" + ] + } + ], + "source": [ + "if WITH_COOCS is True:\n", + " cooc_values = transform_coocs_file(\n", + " prefix_path('ppmi_tf_'),\n", + " prefix_path('new_ppmi_tf_'),\n", + " prefix_path('vocab.txt')\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(('pina', 'asserts'), 7.92826),\n", + " (('asserts', 'pina'), 7.92826),\n", + " (('pina', 'snap'), 7.93756),\n", + " (('snap', 'pina'), 7.93756),\n", + " (('pina', 'periodically'), 7.07306),\n", + " (('periodically', 'pina'), 7.07306),\n", + " (('pina', 'oxidize'), 10.6645),\n", + " (('oxidize', 'pina'), 10.6645),\n", + " (('pina', 'clip'), 7.01754),\n", + " (('clip', 'pina'), 7.01754)]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "if WITH_COOCS is True:\n", + " print(list(cooc_values.items())[:10])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's save also this coocs values dictionary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "if WITH_COOCS is True:\n", + " with open(prefix_path('cooc_values.json'), 'w') as f:\n", + " f.write(json.dumps(list(cooc_values.items())))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Checking if all OK after saving" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "if WITH_COOCS is True:\n", + " saved_raw_cooc_values = json.loads(open(prefix_path('cooc_values.json'), 'r').read())\n", + "\n", + " saved_cooc_values = {\n", + " tuple(d[0]): d[1] for d in saved_raw_cooc_values\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(('pina', 'asserts'), 7.92826),\n", + " (('asserts', 'pina'), 7.92826),\n", + " (('pina', 'snap'), 7.93756),\n", + " (('snap', 'pina'), 7.93756),\n", + " (('pina', 'periodically'), 7.07306),\n", + " (('periodically', 'pina'), 7.07306),\n", + " (('pina', 'oxidize'), 10.6645),\n", + " (('oxidize', 'pina'), 10.6645),\n", + " (('pina', 'clip'), 7.01754),\n", + " (('clip', 'pina'), 7.01754)]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "if WITH_COOCS is True:\n", + " print(list(saved_cooc_values.items())[:10])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Model Initialization\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally we come to building topic models!\n", + "\n", + "Below are functions which attach some regularizers to ARTM model\n", + "\n", + "* https://bigartm.readthedocs.io/en/stable/tutorials/regularizers_descr.html\n", + "* https://bigartm.readthedocs.io/en/stable/tutorials/python_userguide/regularizers_and_scores.html\n", + "* https://bigartm.readthedocs.io/en/v0.8.1/python_interface/regularizers.html" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "SPARSE_PHI_SPECIFIC = 'sparse_phi_specific'\n", + "SPARSE_THETA_SPECIFIC = 'sparse_theta_specific'\n", + "SMOOTH_PHI_BACKGROUND = 'smooth_phi_background'\n", + "SMOOTH_THETA_BACKGROUND = 'smooth_theta_background'\n", + "\n", + "DECORRELATE_SPECIFIC = 'decorrelate_specific'\n", + "DECORRELATE_BACKGROUND = 'decorrelate_background'\n", + "\n", + "SELECT_TOPICS = 'select_topics'\n", + "\n", + "\n", + "def initialize_smoothing_sparsing_regularizers(\n", + " specific_topic_names,\n", + " background_topic_names,\n", + " specific_class_ids,\n", + " background_class_ids):\n", + "\n", + " return [\n", + " artm.SmoothSparsePhiRegularizer(\n", + " tau=0,\n", + " name=SPARSE_PHI_SPECIFIC,\n", + " topic_names=specific_topic_names,\n", + " class_ids=specific_class_ids\n", + " ),\n", + " artm.SmoothSparseThetaRegularizer(\n", + " tau=0,\n", + " name=SPARSE_THETA_SPECIFIC,\n", + " topic_names=specific_topic_names\n", + " ),\n", + " artm.SmoothSparsePhiRegularizer(\n", + " tau=0,\n", + " name=SMOOTH_PHI_BACKGROUND,\n", + " topic_names=background_topic_names,\n", + " class_ids=background_class_ids\n", + " ),\n", + " artm.SmoothSparseThetaRegularizer(\n", + " tau=0,\n", + " name=SMOOTH_THETA_BACKGROUND,\n", + " topic_names=background_topic_names\n", + " ),\n", + " ]\n", + "\n", + "\n", + "def initialize_decorrelating_regularizers(\n", + " specific_topic_names,\n", + " background_topic_names,\n", + " specific_class_ids,\n", + " background_class_ids):\n", + "\n", + " return [\n", + " artm.DecorrelatorPhiRegularizer(\n", + " tau=0,\n", + " name=DECORRELATE_SPECIFIC,\n", + " topic_names=specific_topic_names,\n", + " class_ids=specific_class_ids,\n", + " ),\n", + " artm.DecorrelatorPhiRegularizer(\n", + " tau=0,\n", + " name=DECORRELATE_BACKGROUND,\n", + " topic_names=background_topic_names,\n", + " class_ids=background_class_ids,\n", + " )\n", + " ]\n", + "\n", + "\n", + "def initialize_topic_selecting_regularizers(specific_topic_names):\n", + " return [\n", + " artm.TopicSelectionThetaRegularizer(\n", + " tau=0,\n", + " name=SELECT_TOPICS,\n", + " topic_names=specific_topic_names\n", + " )\n", + " ]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are many scores, already implemented in BigARTM.\n", + "However, sometimes you may need more than that.\n", + "So let's now define a couple of TopicNet custom scores." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class TopicKernelSizeScore(BaseScore):\n", + " \"\"\"\n", + " Calculates size of topic kernel, i.e. number of words\n", + " where probability p(w | t) is bigger than the uniform one 1.0 / |V|\n", + " \n", + " \"\"\"\n", + " def __init__(self, specific_topic_names, average='median'):\n", + " super().__init__()\n", + " \n", + " self._specific_topic_names = specific_topic_names\n", + " self._average = average\n", + " \n", + " if self._average not in ['median', 'mean']:\n", + " raise ValueError(self._average)\n", + "\n", + " def call(self, model):\n", + " if len(self._specific_topic_names) == 0:\n", + " return 0\n", + "\n", + " kernel_sizes = list()\n", + " subphi_values = model.get_phi().loc[:, self._specific_topic_names].values\n", + " vocabulary_size = subphi_values.shape[0]\n", + " \n", + " for i, topic_name in enumerate(self._specific_topic_names):\n", + " phi_column = subphi_values[:, i]\n", + " kernel_size = len(phi_column[phi_column > 1.0 / vocabulary_size])\n", + " \n", + " kernel_sizes.append(kernel_size)\n", + " \n", + " if len(kernel_sizes) == 0:\n", + " return 0.0\n", + " \n", + " if self._average == 'median':\n", + " return np.median(kernel_sizes)\n", + "\n", + " elif self._average == 'mean':\n", + " return np.mean(kernel_sizes)\n", + "\n", + " else:\n", + " raise ValueError(self._average)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class ActiveTopicNumberScore(BaseScore):\n", + " \"\"\"\n", + " Calculates number of active topics, i.e. those ones which have at least one document\n", + " \n", + " \"\"\"\n", + " def __init__(self, specific_topic_names, dataset, threshold=0):\n", + " \"\"\"\n", + " threshold — minimum probability p(t | d) to consider the document \"d\" to be related to the topic \"t\"\n", + " \n", + " \"\"\"\n", + " super().__init__()\n", + " \n", + " self._threshold = threshold\n", + " self._specific_topic_names = specific_topic_names\n", + " self._dataset = dataset # TODO: cache theta didn't work for some reason, so can't do without dataset...\n", + " \n", + " def call(self, model):\n", + " if len(self._specific_topic_names) == 0:\n", + " return 0\n", + "\n", + " theta = model._model.transform(dataset.get_batch_vectorizer())\n", + " subtheta_values = theta.loc[self._specific_topic_names, :].values\n", + " max_probs = np.max(subtheta_values, axis=1)\n", + " \n", + " return len(max_probs[max_probs > self._threshold])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ARTM has PerplexityScore, which is computed using training dataset.\n", + "Here we define HoldoutPerplexityScore, which is to be computed on test part of the dataset.\n", + "\n", + "* https://github.com/bigartm/bigartm/wiki/Q&A#how-to-calculate-perplexity-on-held-out-sample" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class HoldoutPerplexityScore(BaseScore):\n", + " def __init__(self, perplexity_score, test_dataset):\n", + " super().__init__()\n", + " \n", + " self._perplexity_score = perplexity_score\n", + " self._dataset = test_dataset\n", + "\n", + " def call(self, model):\n", + " model._model.transform(\n", + " batch_vectorizer=self._dataset.get_batch_vectorizer(),\n", + " theta_matrix_type=None\n", + " )\n", + "\n", + " perplexity = model._model.get_score(self._perplexity_score)\n", + "\n", + " return perplexity.value" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And here is the score for which we previously calculated all the coocs stuff.\n", + "ARTM has a coherence score implemented, but the author didn't succeed in making it work." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class TopTokensCoherenceScore(BaseScore):\n", + " def __init__(\n", + " self,\n", + " cooc_values,\n", + " modality,\n", + " topics, \n", + " num_top_tokens=10,\n", + " kernel=False,\n", + " average='mean',\n", + " active_topic_threshold=None,\n", + " dataset=None):\n", + " \"\"\"\n", + " kernel — use only tokens from topic kernel\n", + " active_topic_threshold — if defined, non active topics won't be considered\n", + " \n", + " \"\"\"\n", + " super().__init__()\n", + " \n", + " self._cooc_values = cooc_values\n", + " self._modality = modality\n", + " self._topics = topics\n", + " self._num_top_tokens = num_top_tokens\n", + " self._kernel = kernel\n", + " self._average = average\n", + " self._active_topic_threshold = active_topic_threshold\n", + " self._dataset = dataset\n", + " \n", + " if self._average not in ['median', 'mean']:\n", + " raise ValueError(self._average)\n", + "\n", + " def call(self, model):\n", + " subphi = model.get_phi().loc[self._modality, self._topics]\n", + " vocabulary_size = subphi.shape[0]\n", + " \n", + " topic_coherences = list()\n", + " \n", + " if self._active_topic_threshold is None:\n", + " topics = self._topics\n", + " else:\n", + " # TODO: can't do without transform here, cache theta didn't help\n", + " theta = model._model.transform(dataset.get_batch_vectorizer())\n", + " subtheta_values = theta.loc[self._topics, :].values\n", + " max_probs = np.max(subtheta_values, axis=1)\n", + " active_topic_indices = np.where(max_probs > self._active_topic_threshold)[0]\n", + " topics = [t for i, t in enumerate(self._topics) if i in active_topic_indices]\n", + "\n", + " for topic in topics:\n", + " topic_column = subphi.loc[:, topic]\n", + "\n", + " if not self._kernel:\n", + " tokens = topic_column.sort_values(ascending=False)[:self._num_top_tokens].index.to_list()\n", + " else:\n", + " # if self._num_top_tokens is None — also Ok\n", + " tokens = topic_column[topic_column > 1.0 / vocabulary_size][:self._num_top_tokens].index.to_list()\n", + "\n", + " current_cooc_values = list()\n", + " \n", + " for token_a, token_b in combinations(tokens, 2):\n", + " if (token_a, token_b) in self._cooc_values:\n", + " current_cooc_values.append(self._cooc_values[(token_a, token_b)])\n", + " elif (token_b, token_a) in self._cooc_values:\n", + " current_cooc_values.append(self._cooc_values[(token_b, token_a)])\n", + " else:\n", + " # warnings.warn(f'Cooc pair \"{token_a}, {token_b}\" not found in provided data')\n", + " current_cooc_values.append(0)\n", + " \n", + " if len(current_cooc_values) > 0:\n", + " topic_coherences.append(np.mean(current_cooc_values))\n", + " else:\n", + " topic_coherences.append(0)\n", + "\n", + " if len(topic_coherences) == 0:\n", + " return 0\n", + "\n", + " elif self._average == 'mean':\n", + " return np.mean(topic_coherences)\n", + " elif self._average == 'median':\n", + " return np.median(topic_coherences)\n", + " else:\n", + " raise ValueError(f'Don\\'t know how to average like {self._average}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The function below builds and ARTM topic model with all the mentioned scores.\n", + "All the scores have parameter tau set to zero, so they shouldn't affect the training process anyhow.\n", + "However, with some nonzero tau, a score will play its role." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "NUM_SPECIFIC_TOPICS = 100\n", + "NUM_BACKGROUND_TOPICS = 2\n", + "NUM_TOPICS = NUM_SPECIFIC_TOPICS + NUM_BACKGROUND_TOPICS\n", + "\n", + "SPECIFIC_TOPIC_NAMES = [f'spec_topic_{i}' for i in range(NUM_SPECIFIC_TOPICS)]\n", + "BACKGROUND_TOPIC_NAMES = [f'back_topic_{i}' for i in range(NUM_BACKGROUND_TOPICS)]\n", + "\n", + "TOP_TOKENS_SCORE = 'TopTokensScore'\n", + "TOPIC_KERNEL_SIZE_SCORE = 'TopicKernelSizeScore'\n", + "ACTIVE_TOPIC_NUMBER_SCORE = 'ActiveTopicNumberScore'\n", + "HOLDOUT_PERPLEXITY_SCORE = 'HoldoutPerplexityScore'\n", + "TOP_TOKENS_COHERENCE_SCORE = 'TopTokensCoherenceScore'\n", + "PERPLEXITY_SCORE = 'PerplexityScore' # don't change this, as it is defined this way in TopicNet's function\n", + "SPARSITY_PHI_SCORE = 'SparsityPhiScore' # ...and this\n", + "SPARSITY_THETA_SCORE = 'SparsityThetaScore' # ...and this\n", + "TOPIC_KERNEL_SCORE = 'TopicKernel' # ...and this\n", + "\n", + "\n", + "def initialize_topic_model():\n", + " artm_model = artm.ARTM(\n", + " num_processors=1, # can be changed for faster computing, but here we won't use it\n", + " topic_names=SPECIFIC_TOPIC_NAMES + BACKGROUND_TOPIC_NAMES,\n", + " cache_theta=True, # TODO: even with True fails to get theta inside scores\n", + " class_ids={\n", + " MODALITY: 1.0\n", + " },\n", + " num_document_passes=1,\n", + " dictionary=dataset.get_dictionary()\n", + " )\n", + "\n", + " smoothing_sparsing_regularizers = initialize_smoothing_sparsing_regularizers(\n", + " SPECIFIC_TOPIC_NAMES, BACKGROUND_TOPIC_NAMES, [MODALITY], [MODALITY]\n", + " )\n", + " decorrelating_regularizers = initialize_decorrelating_regularizers(\n", + " SPECIFIC_TOPIC_NAMES, BACKGROUND_TOPIC_NAMES, [MODALITY], [MODALITY]\n", + " )\n", + " topic_selecting_regularizers = initialize_topic_selecting_regularizers(\n", + " SPECIFIC_TOPIC_NAMES\n", + " )\n", + "\n", + " for regularizer in smoothing_sparsing_regularizers + decorrelating_regularizers + topic_selecting_regularizers:\n", + " artm_model.regularizers.add(regularizer, overwrite=True)\n", + "\n", + " add_standard_scores(\n", + " artm_model,\n", + " dataset.get_dictionary(),\n", + " main_modality=MODALITY,\n", + " all_modalities=[MODALITY]\n", + " )\n", + " \n", + " for num_tokens in [20]:\n", + " artm_model.scores.add(\n", + " artm.TopTokensScore(\n", + " name=f'{TOP_TOKENS_SCORE}_{num_tokens}',\n", + " class_id=MODALITY,\n", + " topic_names=SPECIFIC_TOPIC_NAMES,\n", + " num_tokens=num_tokens,\n", + " # dictionary=cooc_dictionary # TODO: failed to make this work\n", + " )\n", + " )\n", + "\n", + " custom_scores = {\n", + " TOPIC_KERNEL_SIZE_SCORE: TopicKernelSizeScore(SPECIFIC_TOPIC_NAMES)\n", + " }\n", + " \n", + " for threshold in [0, 1e-7, 1e-3, 0.01, 0.1]:\n", + " custom_scores[f'{ACTIVE_TOPIC_NUMBER_SCORE}_{threshold}'] = \\\n", + " ActiveTopicNumberScore(\n", + " SPECIFIC_TOPIC_NAMES,\n", + " dataset,\n", + " threshold\n", + " )\n", + " \n", + " custom_scores[f'{HOLDOUT_PERPLEXITY_SCORE}{MODALITY}'] = HoldoutPerplexityScore(\n", + " f'{PERPLEXITY_SCORE}{MODALITY}', holdout_dataset\n", + " )\n", + " \n", + " if WITH_COOCS is True:\n", + " for num_top_tokens in [10, 50, 100]: # 100 - for faster computing — ideally would be None\n", + " custom_scores[f'{TOP_TOKENS_COHERENCE_SCORE}_kernel_{num_top_tokens}'] = TopTokensCoherenceScore(\n", + " cooc_values,\n", + " MODALITY,\n", + " SPECIFIC_TOPIC_NAMES,\n", + " num_top_tokens=num_top_tokens,\n", + " kernel=True, # using only words from topic kernel\n", + " average='median',\n", + " active_topic_threshold=1e-7, # taking some threshold a little bit above zero just in case\n", + " dataset=dataset\n", + " )\n", + "\n", + " topic_model = TopicModel(\n", + " artm_model,\n", + " model_id='Root Model',\n", + " custom_scores=custom_scores\n", + " )\n", + "\n", + " experiment = Experiment(\n", + " experiment_id=datetime.now().strftime('%Y-%m-%d__%H-%M-%S'),\n", + " save_path=prefix_path('Experiments'),\n", + " topic_model=topic_model\n", + " )\n", + " \n", + " return topic_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Initializing some model to check if all works" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_model = initialize_topic_model()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Checking model scores" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'PerplexityScore@all': [],\n", + " 'SparsityThetaScore': [],\n", + " 'SparsityPhiScore@text': [],\n", + " 'PerplexityScore@text': [],\n", + " 'TopicKernel@text': [],\n", + " 'TopTokensScore_20': [],\n", + " 'TopicKernelSizeScore': [],\n", + " 'ActiveTopicNumberScore_0': [],\n", + " 'ActiveTopicNumberScore_1e-07': [],\n", + " 'ActiveTopicNumberScore_0.001': [],\n", + " 'ActiveTopicNumberScore_0.01': [],\n", + " 'ActiveTopicNumberScore_0.1': [],\n", + " 'HoldoutPerplexityScore@text': [],\n", + " 'TopTokensCoherenceScore_kernel_10': [],\n", + " 'TopTokensCoherenceScore_kernel_50': [],\n", + " 'TopTokensCoherenceScore_kernel_100': []}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_model.scores" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del test_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Fixing Regularizer Parameters\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We want to use several regularizers during training (particularly decorrelation and topic selection).\n", + "It would be very time consuming if we tried to combine these regularizers in different ways and vary regularizer parameters in parallel.\n", + "So let's find some parameters beforehand: using only one regularizer, we find its best parameter tau.\n", + "And in all further complex strategies (with several regularizers) regularizers' parameters will be fixed and equal to these found best taus." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Each regularizer will act during some number of iterations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "NUM_CUBE_ITERATIONS = 20" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Criteria to select best model.\n", + "One cas use `COHERENCE_CRITERION`, but let's fix `PERPLEXITY_CRITERION` as the criterion for selecting best parameters: we don't want to find the best model here in terms of interpretability, we just want to fix some good regularizer parameters which help to train such models which describes the collection well (i.e. perplexity is as low as possible)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "PERPLEXITY_CRITERION = f'{PERPLEXITY_SCORE}{MODALITY} -> min COLLECT 1'\n", + "COHERENCE_CRITERION = f'{TOP_TOKENS_COHERENCE_SCORE}_kernel_10 -> max COLLECT 1'\n", + "\n", + "CRITERION = PERPLEXITY_CRITERION" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "During model training currently there may be many warnings (if custom score saving fails).\n", + "Below is kinda a workaround: this functions helps to hide all the warnings in the Jupyter notebook after running the cell where the function is invoked.\n", + "\n", + "* https://stackoverflow.com/questions/9031783/hide-all-warnings-in-ipython" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from IPython.display import display_html, HTML\n", + "\n", + "def enable_hide_warnings():\n", + " display_html(HTML('''\n", + "\n", + "To toggle on/off output_stderr, click here.'''))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The function below draws plots of given scores depending on training iteration" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "SCORES = [\n", + " f'{PERPLEXITY_SCORE}{MODALITY}',\n", + " f'{HOLDOUT_PERPLEXITY_SCORE}{MODALITY}',\n", + " f'{SPARSITY_PHI_SCORE}{MODALITY}',\n", + " f'{SPARSITY_THETA_SCORE}',\n", + " f'{TOPIC_KERNEL_SCORE}{MODALITY}.average_contrast',\n", + " f'{TOPIC_KERNEL_SCORE}{MODALITY}.average_purity',\n", + " f'{TOPIC_KERNEL_SIZE_SCORE}',\n", + " f'{ACTIVE_TOPIC_NUMBER_SCORE}_0',\n", + " f'{ACTIVE_TOPIC_NUMBER_SCORE}_1e-07',\n", + " f'{ACTIVE_TOPIC_NUMBER_SCORE}_0.001'\n", + "]\n", + "\n", + "if WITH_COOCS is True:\n", + " SCORES.append(f'{TOP_TOKENS_COHERENCE_SCORE}_kernel_10')\n", + " SCORES.append(f'{TOP_TOKENS_COHERENCE_SCORE}_kernel_50')\n", + " SCORES.append(f'{TOP_TOKENS_COHERENCE_SCORE}_kernel_100')\n", + "\n", + "\n", + "def draw_plots(model, scores=SCORES, num_cols=2, font_size=10):\n", + " old_font_size = plt.rcParams['font.size']\n", + " plt.rcParams.update({'font.size': font_size})\n", + " \n", + " num_rows = int(np.ceil(len(scores) / num_cols))\n", + "\n", + " one_plot_width = 4\n", + " one_plot_heigth = 7\n", + " \n", + " fig, axes = plt.subplots(\n", + " num_rows, num_cols,\n", + " figsize=(num_cols * one_plot_heigth, num_rows * one_plot_width)\n", + " )\n", + " \n", + " iterations = list(range(1, len(model.scores[scores[0]]) + 1))\n", + " \n", + " for i, score in enumerate(scores):\n", + " ax = axes[i // num_cols][i % num_cols]\n", + " \n", + " ax.plot(iterations, model.scores[score], lw=5)\n", + " \n", + " ax.set_ylabel(score)\n", + " ax.set_xlabel('Iteration')\n", + "\n", + " plt.subplots_adjust(\n", + " hspace=0.25, wspace=0.25\n", + " )\n", + " plt.show()\n", + " \n", + " plt.rcParams.update({'font.size': old_font_size})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Decorrelation\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* https://bigartm.readthedocs.io/en/stable/tutorials/regularizers_descr.html#decorrelator-phi" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "decorrelating_regularizer_parameters = {\n", + " 'regularizer': artm.DecorrelatorPhiRegularizer(\n", + " tau=0,\n", + " name=DECORRELATE_SPECIFIC,\n", + " topic_names=SPECIFIC_TOPIC_NAMES,\n", + " class_ids=[MODALITY],\n", + " ),\n", + " 'tau_grid': [1, 10, 100, 1000, 1e4, 1e5, 1e6]\n", + "}\n", + "\n", + "decorrelating_cube = RegularizersModifierCube(\n", + " num_iter=NUM_CUBE_ITERATIONS,\n", + " regularizer_parameters=decorrelating_regularizer_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "One can view the cube parameters (for example if there is a need to remember the grid)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'object': ,\n", + " 'field': 'tau',\n", + " 'values': [1, 10, 100, 1000, 10000.0, 100000.0, 1000000.0]}]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "decorrelating_cube.parameters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Custom scores are those ones, defined in this notebook as new classes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'TopicKernelSizeScore': <__main__.TopicKernelSizeScore at 0x7fabc3c9d898>,\n", + " 'ActiveTopicNumberScore_0': <__main__.ActiveTopicNumberScore at 0x7fab528b8860>,\n", + " 'ActiveTopicNumberScore_1e-07': <__main__.ActiveTopicNumberScore at 0x7fabc36c0780>,\n", + " 'ActiveTopicNumberScore_0.001': <__main__.ActiveTopicNumberScore at 0x7fabc39c2550>,\n", + " 'ActiveTopicNumberScore_0.01': <__main__.ActiveTopicNumberScore at 0x7fab602047f0>,\n", + " 'ActiveTopicNumberScore_0.1': <__main__.ActiveTopicNumberScore at 0x7fabc3616be0>,\n", + " 'HoldoutPerplexityScore@text': <__main__.HoldoutPerplexityScore at 0x7fab5892af28>,\n", + " 'TopTokensCoherenceScore_kernel_10': <__main__.TopTokensCoherenceScore at 0x7fabb7d58748>,\n", + " 'TopTokensCoherenceScore_kernel_50': <__main__.TopTokensCoherenceScore at 0x7fabc338be80>,\n", + " 'TopTokensCoherenceScore_kernel_100': <__main__.TopTokensCoherenceScore at 0x7fabc3491dd8>}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model.custom_scores" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 24min 46s, sys: 1min 20s, total: 26min 6s\n", + "Wall time: 20min 56s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "enable_hide_warnings()\n", + "\n", + "models = decorrelating_cube(topic_model, dataset) # TODO: nice cube output?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In experiment there are several models: root one, and one per each parameter tau specified in cube settings" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'<<<<<<<<<<>>>>>>>>>>': ,\n", + " '##16h33m41s_08d01m2020y###': ,\n", + " '##16h36m07s_08d01m2020y###': ,\n", + " '##16h38m34s_08d01m2020y###': ,\n", + " '##16h41m00s_08d01m2020y###': ,\n", + " '##16h43m26s_08d01m2020y###': ,\n", + " '##16h45m53s_08d01m2020y###': ,\n", + " '##16h48m18s_08d01m2020y###': }" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model.experiment.models" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Function showing last score values (so as to make it easier to compare all models in the end and choose the best one)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def show_scores(model, score_names):\n", + " for score_name in score_names:\n", + " print(f'{score_name:40} {model.scores[score_name][-1]:>10.3f}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And the best model by criterion is..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def select_best_model(experiment, criterion, regularizer_name):\n", + " best_model = experiment.select(criterion)[0]\n", + " \n", + " print(criterion)\n", + " print()\n", + "\n", + " show_scores(best_model, SCORES)\n", + " print()\n", + " \n", + " best_tau = best_model.regularizers[regularizer_name].tau\n", + " \n", + " print('Tau: {}'.format(best_tau))\n", + " \n", + " return best_model, best_tau" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text -> min COLLECT 1\n", + "\n", + "Holdout perplexity: 2051.099\n", + "Perplexity: 975.863\n", + "Coherence 10: 0.396\n", + "Coherence 50: 0.203\n", + "Coherence 100: 0.164\n", + "Active topics number: 100.000\n", + "\n", + "Tau: 10000.0\n" + ] + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "best_model, DECORRELATION_TAU = select_best_model(\n", + " topic_model.experiment, CRITERION, DECORRELATE_SPECIFIC\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These are all the regularizers attached to the model: as active (`tau` other than zero), as non-active (`tau` equals zero) ones" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[sparse_phi_specific, sparse_theta_specific, smooth_phi_background, smooth_theta_background, decorrelate_specific, decorrelate_background, select_topics]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "best_model.regularizers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(best_model, num_cols=3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Both perplexities descrease; coherence, purity and contrast increase — it is generally a good sign." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del models\n", + "del best_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Topic Selection\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* https://bigartm.readthedocs.io/en/stable/tutorials/regularizers_descr.html#topic-selection-theta" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "selecting_regularizer_parameters = {\n", + " 'regularizer': artm.TopicSelectionThetaRegularizer(\n", + " tau=0,\n", + " name=SELECT_TOPICS,\n", + " topic_names=SPECIFIC_TOPIC_NAMES\n", + " ),\n", + " 'tau_grid': [0.01, 0.1, 0.2, 0.5, 0.8, 1.0, 1.5, 2.0]\n", + "}\n", + "\n", + "selecting_cube = RegularizersModifierCube(\n", + " num_iter=NUM_CUBE_ITERATIONS,\n", + " regularizer_parameters=selecting_regularizer_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'object': ,\n", + " 'field': 'tau',\n", + " 'values': [0.01, 0.1, 0.2, 0.5, 0.8, 1.0, 1.5, 2.0]}]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "selecting_cube.parameters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 27min 25s, sys: 1min 41s, total: 29min 6s\n", + "Wall time: 23min\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "enable_hide_warnings()\n", + "\n", + "models = selecting_cube(topic_model, dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text -> min COLLECT 1\n", + "\n", + "Holdout perplexity: 2115.320\n", + "Perplexity: 993.395\n", + "Coherence 10: 0.406\n", + "Coherence 50: 0.199\n", + "Coherence 100: 0.164\n", + "Active topics number: 100.000\n", + "\n", + "Tau: 0.01\n" + ] + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "best_model, SELECTION_TAU = select_best_model(\n", + " topic_model.experiment,\n", + " CRITERION,\n", + " SELECT_TOPICS\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see, that the best tau leads to the fact, that all topics remain, none was thrown away.\n", + "Maybe better would be to leave tau as is, but for demonstration purposes let's choose such tau, which is closest to the best one, but which actually helps to select topics.\n", + "\n", + "Another way would be try to increase the number of topics in a model `NUM_SPECIFIC_TOPICS`: maybe than regularizer will work with any tau, even with small ones, but this approach was not tested." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 993.395\n", + "HoldoutPerplexityScore@text 2115.320\n", + "SparsityPhiScore@text 0.799\n", + "SparsityThetaScore 0.071\n", + "TopicKernel@text.average_contrast 0.749\n", + "TopicKernel@text.average_purity 0.819\n", + "TopicKernelSizeScore 555.500\n", + "ActiveTopicNumberScore_0 100.000\n", + "ActiveTopicNumberScore_1e-07 100.000\n", + "ActiveTopicNumberScore_0.001 100.000\n", + "TopTokensCoherenceScore_kernel_10 0.406\n", + "TopTokensCoherenceScore_kernel_50 0.199\n", + "TopTokensCoherenceScore_kernel_100 0.164\n", + "Tau: 0.01\n", + "\n", + "PerplexityScore@text 993.420\n", + "HoldoutPerplexityScore@text 2115.154\n", + "SparsityPhiScore@text 0.799\n", + "SparsityThetaScore 0.071\n", + "TopicKernel@text.average_contrast 0.749\n", + "TopicKernel@text.average_purity 0.820\n", + "TopicKernelSizeScore 553.500\n", + "ActiveTopicNumberScore_0 100.000\n", + "ActiveTopicNumberScore_1e-07 100.000\n", + "ActiveTopicNumberScore_0.001 100.000\n", + "TopTokensCoherenceScore_kernel_10 0.406\n", + "TopTokensCoherenceScore_kernel_50 0.200\n", + "TopTokensCoherenceScore_kernel_100 0.164\n", + "Tau: 0.1\n", + "\n", + "PerplexityScore@text 993.525\n", + "HoldoutPerplexityScore@text 2115.651\n", + "SparsityPhiScore@text 0.799\n", + "SparsityThetaScore 0.071\n", + "TopicKernel@text.average_contrast 0.748\n", + "TopicKernel@text.average_purity 0.820\n", + "TopicKernelSizeScore 550.500\n", + "ActiveTopicNumberScore_0 100.000\n", + "ActiveTopicNumberScore_1e-07 100.000\n", + "ActiveTopicNumberScore_0.001 100.000\n", + "TopTokensCoherenceScore_kernel_10 0.396\n", + "TopTokensCoherenceScore_kernel_50 0.197\n", + "TopTokensCoherenceScore_kernel_100 0.164\n", + "Tau: 0.2\n", + "\n", + "PerplexityScore@text 1168.375\n", + "HoldoutPerplexityScore@text 2353.627\n", + "SparsityPhiScore@text 0.815\n", + "SparsityThetaScore 0.183\n", + "TopicKernel@text.average_contrast 0.658\n", + "TopicKernel@text.average_purity 0.720\n", + "TopicKernelSizeScore 564.500\n", + "ActiveTopicNumberScore_0 87.000\n", + "ActiveTopicNumberScore_1e-07 87.000\n", + "ActiveTopicNumberScore_0.001 87.000\n", + "TopTokensCoherenceScore_kernel_10 0.398\n", + "TopTokensCoherenceScore_kernel_50 0.193\n", + "TopTokensCoherenceScore_kernel_100 0.152\n", + "Tau: 0.5\n", + "\n", + "PerplexityScore@text 2093.809\n", + "HoldoutPerplexityScore@text 4010.678\n", + "SparsityPhiScore@text 0.851\n", + "SparsityThetaScore 0.605\n", + "TopicKernel@text.average_contrast 0.301\n", + "TopicKernel@text.average_purity 0.331\n", + "TopicKernelSizeScore 0.000\n", + "ActiveTopicNumberScore_0 39.000\n", + "ActiveTopicNumberScore_1e-07 39.000\n", + "ActiveTopicNumberScore_0.001 39.000\n", + "TopTokensCoherenceScore_kernel_10 0.347\n", + "TopTokensCoherenceScore_kernel_50 0.126\n", + "TopTokensCoherenceScore_kernel_100 0.093\n", + "Tau: 0.8\n", + "\n", + "PerplexityScore@text 11305.777\n", + "HoldoutPerplexityScore@text 11675.569\n", + "SparsityPhiScore@text 0.981\n", + "SparsityThetaScore 0.980\n", + "TopicKernel@text.average_contrast 0.017\n", + "TopicKernel@text.average_purity 0.019\n", + "TopicKernelSizeScore 0.000\n", + "ActiveTopicNumberScore_0 0.000\n", + "ActiveTopicNumberScore_1e-07 0.000\n", + "ActiveTopicNumberScore_0.001 0.000\n", + "TopTokensCoherenceScore_kernel_10 0.000\n", + "TopTokensCoherenceScore_kernel_50 0.000\n", + "TopTokensCoherenceScore_kernel_100 0.000\n", + "Tau: 1.0\n", + "\n", + "PerplexityScore@text 11292.332\n", + "HoldoutPerplexityScore@text 11670.201\n", + "SparsityPhiScore@text 0.981\n", + "SparsityThetaScore 0.980\n", + "TopicKernel@text.average_contrast 0.017\n", + "TopicKernel@text.average_purity 0.019\n", + "TopicKernelSizeScore 0.000\n", + "ActiveTopicNumberScore_0 0.000\n", + "ActiveTopicNumberScore_1e-07 0.000\n", + "ActiveTopicNumberScore_0.001 0.000\n", + "TopTokensCoherenceScore_kernel_10 0.000\n", + "TopTokensCoherenceScore_kernel_50 0.000\n", + "TopTokensCoherenceScore_kernel_100 0.000\n", + "Tau: 1.5\n", + "\n", + "PerplexityScore@text 11292.332\n", + "HoldoutPerplexityScore@text 11670.201\n", + "SparsityPhiScore@text 0.981\n", + "SparsityThetaScore 0.980\n", + "TopicKernel@text.average_contrast 0.017\n", + "TopicKernel@text.average_purity 0.019\n", + "TopicKernelSizeScore 0.000\n", + "ActiveTopicNumberScore_0 0.000\n", + "ActiveTopicNumberScore_1e-07 0.000\n", + "ActiveTopicNumberScore_0.001 0.000\n", + "TopTokensCoherenceScore_kernel_10 0.000\n", + "TopTokensCoherenceScore_kernel_50 0.000\n", + "TopTokensCoherenceScore_kernel_100 0.000\n", + "Tau: 2.0\n", + "\n" + ] + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "for m in models:\n", + " show_scores(m, SCORES)\n", + " print('Tau:', m.restore().regularizers[SELECT_TOPICS].tau)\n", + " print()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, one can see, that the wanted tau is `0.5`: it selects topics.\n", + "Perplexity increases, but not much (with next tau `0.8` perplexity already nearly twice as big, as with the previously found best tau `0.1`)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "SELECTION_TAU = 0.5\n", + "\n", + "best_model = [m for m in models if m.restore().regularizers[SELECT_TOPICS].tau == SELECTION_TAU][0]\n", + "best_model = best_model.restore()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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    mica0.00.00.00.00.00.00.00.00.00.0...0.00.00.00.00.00.02.050688e-130.00.00.001751
    dancer0.00.00.00.00.00.00.00.00.00.0...0.00.00.00.00.00.00.000000e+000.00.00.000000
    \n", + "

    5 rows × 102 columns

    \n", + "
    " + ], + "text/plain": [ + " spec_topic_0 spec_topic_1 spec_topic_2 spec_topic_3 \\\n", + "modality token \n", + "@text imp 0.0 0.0 0.0 0.0 \n", + " slouch 0.0 0.0 0.0 0.0 \n", + " celebrates 0.0 0.0 0.0 0.0 \n", + " mica 0.0 0.0 0.0 0.0 \n", + " dancer 0.0 0.0 0.0 0.0 \n", + "\n", + " spec_topic_4 spec_topic_5 spec_topic_6 spec_topic_7 \\\n", + "modality token \n", + "@text imp 0.0 0.0 0.0 0.0 \n", + " slouch 0.0 0.0 0.0 0.0 \n", + " celebrates 0.0 0.0 0.0 0.0 \n", + " mica 0.0 0.0 0.0 0.0 \n", + " dancer 0.0 0.0 0.0 0.0 \n", + "\n", + " spec_topic_8 spec_topic_9 ... spec_topic_92 \\\n", + "modality token ... \n", + "@text imp 0.0 0.0 ... 0.0 \n", + " slouch 0.0 0.0 ... 0.0 \n", + " celebrates 0.0 0.0 ... 0.0 \n", + " mica 0.0 0.0 ... 0.0 \n", + " dancer 0.0 0.0 ... 0.0 \n", + "\n", + " spec_topic_93 spec_topic_94 spec_topic_95 \\\n", + "modality token \n", + "@text imp 0.0 0.0 0.0 \n", + " slouch 0.0 0.0 0.0 \n", + " celebrates 0.0 0.0 0.0 \n", + " mica 0.0 0.0 0.0 \n", + " dancer 0.0 0.0 0.0 \n", + "\n", + " spec_topic_96 spec_topic_97 spec_topic_98 \\\n", + "modality token \n", + "@text imp 0.0 0.0 0.000000e+00 \n", + " slouch 0.0 0.0 0.000000e+00 \n", + " celebrates 0.0 0.0 4.143302e-14 \n", + " mica 0.0 0.0 2.050688e-13 \n", + " dancer 0.0 0.0 0.000000e+00 \n", + "\n", + " spec_topic_99 back_topic_0 back_topic_1 \n", + "modality token \n", + "@text imp 0.0 0.0 0.000000 \n", + " slouch 0.0 0.0 0.000000 \n", + " celebrates 0.0 0.0 0.000350 \n", + " mica 0.0 0.0 0.001751 \n", + " dancer 0.0 0.0 0.000000 \n", + "\n", + "[5 rows x 102 columns]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "best_model.get_phi().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And top tokens of one of the topics" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "modality token \n", + "@text lebanese 0.029335\n", + " allah 0.017046\n", + " infrastructure 0.013951\n", + " telecommunication 0.013907\n", + " nist 0.013429\n", + " balanced 0.012968\n", + " sampling 0.012262\n", + " tension 0.012109\n", + " authorization 0.011630\n", + " muhammad 0.011496\n", + " syrian 0.011496\n", + " guerilla 0.011100\n", + " microcircuit 0.011100\n", + " gui 0.009904\n", + " csrc 0.009514\n", + " neck 0.009372\n", + " unauthorized 0.008897\n", + " evaluate 0.008807\n", + " withdraw 0.008719\n", + " prophethood 0.008325\n", + "Name: spec_topic_0, dtype: float32\n" + ] + } + ], + "source": [ + "if 'spec_topic_0' in best_model.get_phi().columns:\n", + " print(best_model.get_phi()['spec_topic_0'].sort_values(ascending=False)[:20])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del models\n", + "del best_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sparsing\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* https://bigartm.readthedocs.io/en/stable/tutorials/regularizers_descr.html#smooth-sparse-phi" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sparsing_regularizer_parameters = {\n", + " 'regularizer': artm.SmoothSparsePhiRegularizer(\n", + " tau=0,\n", + " name=SPARSE_PHI_SPECIFIC,\n", + " topic_names=SPECIFIC_TOPIC_NAMES,\n", + " class_ids=[MODALITY]\n", + " ),\n", + " 'tau_grid': [-10, -1, -0.2, -0.1, -0.02, -0.01, -0.001]\n", + "}\n", + "\n", + "sparsing_cube = RegularizersModifierCube(\n", + " num_iter=NUM_CUBE_ITERATIONS,\n", + " regularizer_parameters=sparsing_regularizer_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'object': ,\n", + " 'field': 'tau',\n", + " 'values': [-10, -1, -0.2, -0.1, -0.02, -0.01, -0.001]}]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sparsing_cube.parameters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 24min 28s, sys: 56.5 s, total: 25min 24s\n", + "Wall time: 20min 56s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "models = sparsing_cube(topic_model, dataset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*Remark*. If one try to select best model by `TopTokensCoherenceScore`, she will get the model with almost all top token probabilities equal to zero.\n", + "This may be the drawback of the coherence score.\n", + "So `PerplexityScore` should be used here for finding the best tau for Sparsing regularizer (regardless of what the value of `WITH_COOCS` is)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text -> min COLLECT 1\n", + "\n", + "Holdout perplexity: 2085.935\n", + "Perplexity: 1012.688\n", + "Coherence 10: 0.374\n", + "Coherence 50: 0.193\n", + "Coherence 100: 0.159\n", + "Active topics number: 100.000\n", + "\n", + "Tau: -0.001\n" + ] + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "best_model, SPARSING_TAU = select_best_model(\n", + " topic_model.experiment,\n", + " PERPLEXITY_CRITERION,\n", + " SPARSE_PHI_SPECIFIC\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-0.001" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SPARSING_TAU" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(best_model, num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del models\n", + "del best_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Best Parameters\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's fix found taus" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "best_decorrelating_regularizer_parameters = {\n", + " 'regularizer': artm.DecorrelatorPhiRegularizer(\n", + " tau=0,\n", + " name=DECORRELATE_SPECIFIC,\n", + " topic_names=SPECIFIC_TOPIC_NAMES,\n", + " class_ids=[MODALITY],\n", + " ),\n", + " 'tau_grid': [DECORRELATION_TAU]\n", + "}\n", + "\n", + "best_decorrelating_cube = RegularizersModifierCube(\n", + " num_iter=NUM_CUBE_ITERATIONS,\n", + " regularizer_parameters=best_decorrelating_regularizer_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")\n", + "\n", + "\n", + "best_selecting_regularizer_parameters = {\n", + " 'regularizer': artm.TopicSelectionThetaRegularizer(\n", + " tau=0,\n", + " name=SELECT_TOPICS,\n", + " topic_names=SPECIFIC_TOPIC_NAMES\n", + " ),\n", + " 'tau_grid': [SELECTION_TAU]\n", + "}\n", + "\n", + "best_selecting_cube = RegularizersModifierCube(\n", + " num_iter=NUM_CUBE_ITERATIONS,\n", + " regularizer_parameters=best_selecting_regularizer_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")\n", + "\n", + "\n", + "best_sparsing_regularizer_parameters = {\n", + " 'regularizer': artm.SmoothSparsePhiRegularizer(\n", + " tau=0,\n", + " name=SPARSE_PHI_SPECIFIC,\n", + " topic_names=SPECIFIC_TOPIC_NAMES,\n", + " class_ids=[MODALITY]\n", + " ),\n", + " 'tau_grid': [SPARSING_TAU]\n", + "}\n", + "\n", + "best_sparsing_cube = RegularizersModifierCube(\n", + " num_iter=NUM_CUBE_ITERATIONS,\n", + " regularizer_parameters=best_sparsing_regularizer_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Combining Regularizers in Different Ways\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we will try different combinations of regularizers in search of a good model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Decorrelation, Topic Selection\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[sparse_phi_specific, sparse_theta_specific, smooth_phi_background, smooth_theta_background, decorrelate_specific, decorrelate_background, select_topics]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Setting decorrelation tau to found non-zero value" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = DECORRELATION_TAU\n", + "\n", + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10000.0" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And now turning the regularizer back off" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers[SELECT_TOPICS].tau" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Turning on another regularizer" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._model.regularizers[SELECT_TOPICS].tau = SELECTION_TAU" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.5" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers[SELECT_TOPICS].tau" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.5" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers[SELECT_TOPICS].tau" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._model.regularizers[SELECT_TOPICS].tau = 0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And sparsing in the end" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = SPARSING_TAU" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-0.001" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = 0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look what we got" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(topic_model, num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 915.976\n", + "HoldoutPerplexityScore@text 1964.934\n", + "SparsityPhiScore@text 0.979\n", + "SparsityThetaScore 0.746\n", + "TopicKernel@text.average_contrast 0.759\n", + "TopicKernel@text.average_purity 0.843\n", + "TopicKernelSizeScore 466.500\n", + "ActiveTopicNumberScore_0 99.000\n", + "ActiveTopicNumberScore_1e-07 99.000\n", + "ActiveTopicNumberScore_0.001 99.000\n", + "TopTokensCoherenceScore_kernel_10 0.459\n", + "TopTokensCoherenceScore_kernel_50 0.230\n", + "TopTokensCoherenceScore_kernel_100 0.183\n" + ] + } + ], + "source": [ + "show_scores(topic_model, SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Topic Selection, Decorrelation\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A compact version of what was done in the previous section (only with changed order of the regularizers)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 6min 42s, sys: 27.5 s, total: 7min 9s\n", + "Wall time: 5min 34s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "topic_model._model.regularizers[SELECT_TOPICS].tau = SELECTION_TAU\n", + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)\n", + "topic_model._model.regularizers[SELECT_TOPICS].tau = 0\n", + "\n", + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = DECORRELATION_TAU\n", + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)\n", + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = 0\n", + "\n", + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = SPARSING_TAU\n", + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)\n", + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(topic_model, num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 1009.656\n", + "HoldoutPerplexityScore@text 2139.785\n", + "SparsityPhiScore@text 0.979\n", + "SparsityThetaScore 0.759\n", + "TopicKernel@text.average_contrast 0.671\n", + "TopicKernel@text.average_purity 0.748\n", + "TopicKernelSizeScore 499.500\n", + "ActiveTopicNumberScore_0 87.000\n", + "ActiveTopicNumberScore_1e-07 87.000\n", + "ActiveTopicNumberScore_0.001 87.000\n", + "TopTokensCoherenceScore_kernel_10 0.381\n", + "TopTokensCoherenceScore_kernel_50 0.208\n", + "TopTokensCoherenceScore_kernel_100 0.171\n" + ] + } + ], + "source": [ + "show_scores(topic_model, SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Decorrelation with Topic Selection (Short)\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 4min 25s, sys: 8.82 s, total: 4min 33s\n", + "Wall time: 3min 45s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "topic_model._model.regularizers[SELECT_TOPICS].tau = SELECTION_TAU\n", + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = DECORRELATION_TAU\n", + "\n", + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)\n", + "\n", + "topic_model._model.regularizers[SELECT_TOPICS].tau = 0\n", + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = 0\n", + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = SPARSING_TAU\n", + "\n", + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)\n", + "\n", + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(topic_model, num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 1015.950\n", + "HoldoutPerplexityScore@text 2133.948\n", + "SparsityPhiScore@text 0.978\n", + "SparsityThetaScore 0.748\n", + "TopicKernel@text.average_contrast 0.681\n", + "TopicKernel@text.average_purity 0.757\n", + "TopicKernelSizeScore 498.500\n", + "ActiveTopicNumberScore_0 88.000\n", + "ActiveTopicNumberScore_1e-07 88.000\n", + "ActiveTopicNumberScore_0.001 88.000\n", + "TopTokensCoherenceScore_kernel_10 0.413\n", + "TopTokensCoherenceScore_kernel_50 0.200\n", + "TopTokensCoherenceScore_kernel_100 0.170\n" + ] + } + ], + "source": [ + "show_scores(topic_model, SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Decorrelation with Topic Selection (Long)\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 6min 35s, sys: 16.2 s, total: 6min 51s\n", + "Wall time: 5min 38s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "topic_model._model.regularizers[SELECT_TOPICS].tau = SELECTION_TAU\n", + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = DECORRELATION_TAU\n", + "\n", + "topic_model._fit(dataset.get_batch_vectorizer(), 2 * NUM_CUBE_ITERATIONS)\n", + "\n", + "topic_model._model.regularizers[SELECT_TOPICS].tau = 0\n", + "topic_model._model.regularizers[DECORRELATE_SPECIFIC].tau = 0\n", + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = SPARSING_TAU\n", + "\n", + "topic_model._fit(dataset.get_batch_vectorizer(), NUM_CUBE_ITERATIONS)\n", + "\n", + "topic_model._model.regularizers[SPARSE_PHI_SPECIFIC].tau = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(topic_model, num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 1020.306\n", + "HoldoutPerplexityScore@text 2151.106\n", + "SparsityPhiScore@text 0.979\n", + "SparsityThetaScore 0.765\n", + "TopicKernel@text.average_contrast 0.659\n", + "TopicKernel@text.average_purity 0.733\n", + "TopicKernelSizeScore 499.000\n", + "ActiveTopicNumberScore_0 85.000\n", + "ActiveTopicNumberScore_1e-07 85.000\n", + "ActiveTopicNumberScore_0.001 85.000\n", + "TopTokensCoherenceScore_kernel_10 0.395\n", + "TopTokensCoherenceScore_kernel_50 0.202\n", + "TopTokensCoherenceScore_kernel_100 0.166\n" + ] + } + ], + "source": [ + "show_scores(topic_model, SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sophisticated. All at Once but One after Another\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here go a couple of more complex ways to combine regularizers.\n", + "In fact, next ten or so cells (\"Sophisticated\" sections) are the core part of the notebook: to show how TopicNet helps to do quite complex things with ease.\n", + "\n", + "First, let's try to combine all the regularizers at once, but make so that they go one after another, with fixed taus.\n", + "This is basically the same thing we did in one of the previous sections, when decorrelation regularizer was the first, then topic selection one, and then sparsing regularizer.\n", + "Here, however, we are going to use another, TopicNet, approach in organizing the training process." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def decorrelation_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter <= NUM_CUBE_ITERATIONS:\n", + " return DECORRELATION_TAU\n", + " else:\n", + " return 0.0\n", + "\n", + "def selection_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter <= NUM_CUBE_ITERATIONS:\n", + " return 0.0\n", + " elif cur_iter <= 2 * NUM_CUBE_ITERATIONS:\n", + " return SELECTION_TAU\n", + " else:\n", + " return 0.0\n", + "\n", + "def sparsing_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter > 2 * NUM_CUBE_ITERATIONS: \n", + " return SPARSING_TAU\n", + " else:\n", + " return 0.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cube_parameters = [\n", + " {\n", + " 'reg_name': DECORRELATE_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY, # tracking just usual Perplexity score\n", + " 'tau_converter': decorrelation_tau_converter,\n", + " 'user_value_grid': [0] # we don't need this\n", + " },\n", + " {\n", + " 'reg_name': SELECT_TOPICS,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': selection_tau_converter,\n", + " 'user_value_grid': [0]\n", + " },\n", + " {\n", + " 'reg_name': SPARSE_PHI_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': sparsing_tau_converter,\n", + " 'user_value_grid': [0]\n", + " }\n", + "]\n", + "\n", + "\n", + "cube = RegularizationControllerCube(\n", + " num_iter=3 * NUM_CUBE_ITERATIONS,\n", + " parameters=cube_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 10min 39s, sys: 30 s, total: 11min 9s\n", + "Wall time: 9min 5s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "models = cube(topic_model, dataset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Only one model as a cube result (because we set previously found taus as parameters)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'<<<<<<<<<<>>>>>>>>>>': ,\n", + " '##18h12m44s_08d01m2020y###': }" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_model.experiment.models" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(models[0], num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 915.350\n", + "HoldoutPerplexityScore@text 1964.099\n", + "SparsityPhiScore@text 0.979\n", + "SparsityThetaScore 0.745\n", + "TopicKernel@text.average_contrast 0.758\n", + "TopicKernel@text.average_purity 0.843\n", + "TopicKernelSizeScore 468.000\n", + "ActiveTopicNumberScore_0 99.000\n", + "ActiveTopicNumberScore_1e-07 99.000\n", + "ActiveTopicNumberScore_0.001 99.000\n", + "TopTokensCoherenceScore_kernel_10 0.428\n", + "TopTokensCoherenceScore_kernel_50 0.228\n", + "TopTokensCoherenceScore_kernel_100 0.181\n" + ] + } + ], + "source": [ + "show_scores(models[0], SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model\n", + "\n", + "del decorrelation_tau_converter\n", + "del selection_tau_converter\n", + "del sparsing_tau_converter\n", + "\n", + "del cube_parameters\n", + "del cube" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sophisticated. Changing Parameters\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Regularizer parameters are going to be changed here: taus are gradually increasing starting from some iteration (different for each regularizer)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def decorrelation_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter <= NUM_CUBE_ITERATIONS:\n", + " return cur_iter / NUM_CUBE_ITERATIONS * DECORRELATION_TAU\n", + " else:\n", + " return 0.0\n", + "\n", + "def selection_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter <= NUM_CUBE_ITERATIONS:\n", + " return 0.0\n", + " elif cur_iter <= 2 * NUM_CUBE_ITERATIONS:\n", + " return (cur_iter - NUM_CUBE_ITERATIONS) / NUM_CUBE_ITERATIONS * SELECTION_TAU\n", + " else:\n", + " return 0.0\n", + "\n", + "def sparsing_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter > 2 * NUM_CUBE_ITERATIONS: \n", + " return (cur_iter - 2 * NUM_CUBE_ITERATIONS) / NUM_CUBE_ITERATIONS * SPARSING_TAU\n", + " else:\n", + " return 0.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cube_parameters = [\n", + " {\n", + " 'reg_name': DECORRELATE_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': decorrelation_tau_converter,\n", + " 'user_value_grid': [0]\n", + " },\n", + " {\n", + " 'reg_name': SELECT_TOPICS,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': selection_tau_converter,\n", + " 'user_value_grid': [0]\n", + " },\n", + " {\n", + " 'reg_name': SPARSE_PHI_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': sparsing_tau_converter,\n", + " 'user_value_grid': [0]\n", + " }\n", + "]\n", + "\n", + "cube = RegularizationControllerCube(\n", + " num_iter=3 * NUM_CUBE_ITERATIONS,\n", + " parameters=cube_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 10min 39s, sys: 38.5 s, total: 11min 18s\n", + "Wall time: 9min 1s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "models = cube(topic_model, dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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66yKeeb+s1XMnDO7HhdPH8vHDRmplm0gnSWvhzcyyCYpuv3f3P4XhDWY23N3XhVtJN4bxNcDohMtHhbE17Nma2hh/NoyPijg/ibvPAGYATJs2rc2FvqKIv5C2qMebiEhnqwV2EQzUyQWWu3vD3i+RU6YMSSq8zV9ejrurZ4uIiEg35u48umAVP5z1Drtq61s8Lyczg7MOHsaFR43hqJIivf+LdLKMdN04nFL6O+Bdd/9lwqFZwMXh84uBxxPiF1ngaGBbuCV1DnCGmRWaWSFwBjAnPLbdzI4Of9dFCffqUFHfBGjFm4hIp3uFoPB2JPAh4AIz+0O8KXV9U0cNJDe76dt9eUUNSzbujCkjERER2VdbK2v4yu9f5Xt/fKvFopsZXHDUGF64+hRuOf8wpo8fpKKbSAzSueLtOODzwFtm9noY+z5wE0GfnsuAlcCnw2OzgbOBpUAlcCmAu5eb2Y8JPnAB3NA4aAH4CnAPweqHJ0jDYAWAgr7JW0237aqlrr6BrMy01S5FRKSpy9x9Qfh8HXCumX0+zoS6gz5ZmRwxtpAXlm5uEp9XupnJQ/NjykpERETa68Wlm7jq0TdYv72qxXOOKini+nMO4MARAzsxMxGJks6pps8DLZXTT40434ErW7jXTGBmRHwBcNA+pJmSrMwMBuRmsb1qT3Nq96D4Nqh/n3T/ehERIfg738yOBya5+91mVgw8H3de3cHRJYMiC28XHTMunoRERESkzRoanJvnvs9tzy7DW2igNLKgL98/e3/OPniYVreJdBGdMtW0Jyjsl9Ok8AZBnzcV3kREOoeZXU8wxXQ/4G4gB3gADVho1dETBsHcprF5perzJiIi0l1U1dZz1aOvM/ut9S2e86kjRnH9Rw+kfx99zBfpSvT/yBQV5uWwcnNlk5j6vImIdKqPAYcBrwK4+1oz017JFDT2eauq3TOLorHPm7abioiIdG1bKmq4/L4FLFi5JfL4gNws/ufjU/mPqcM7OTMRSYUalKUocrJphQpvIiKdqCZsS+AAZtYv5ny6jcY+b83NK90ccbaIiIh0FavKK/nEb19sseg2vaSIf3zzBBXdRLowFd5SVJCXPGBBK95ERDrVo2Z2B1BgZpcDTwJ3xZxTtzG9ZFBSTIU3ERGRruvN1Vv52G0vUlpWEXn8W6dN5sHLj2ZEQd9OzkxE2kJbTVNUlBex4q2yNoZMRER6J3f/hZmdDmwn6PP2A3ef28plEjp6fFThTX3eRES6OjM7E7gFyATucvebmh0fA9wLFITnXO3uszs9UelQC1aUc9HMl6msqU86lp1p/OJTh3DuoSNjyExE2kor3lJUqK2mIiKxMrOfuftcd/+Ou/+Xu881s5/FnVd3ccjogfTJavq239jnTUREuiYzywRuBc4CDgAuMLMDmp12LfCoux8GnA/c1rlZSkd7d912Lr3nlciiW35uFvd+4SgV3US6ERXeUlQYseKtXIU3EZHOdHpE7KxOz6KbaqnP23xtNxURSTsz+1QqsQhHAUvdvdTda4CHgXObnePAgPD5QGDtvuQq8Vq5uYLP/+5ldlTVJR0bMTCXx750LMdOKI4hMxFpLxXeUlTUL6rHm7aaioikm5l92czeAvYzszcTHsuBN+POrztpabupiIik3TUpxpobCaxKeL06jCX6IfA5M1sNzAa+1p4EJX4bt1fxud/NZ9PO6qRjU4bl86evHMd+wzSNXKS7UY+3FBVE9njTijcRkU7wIPAE8D/A1QnxHe6uqlEbRBfeNqvPm4hImpjZWcDZwEgz+3XCoQFA8pKm9rkAuMfdbzazY4D7zewgd29olssVwBUAY8aM6aBfLR1lW2UtF818mVXlu5KOjR/cjwcvP5qiiPZHItL1pbTizcy+kUqsJ4v6S06FNxGR9HP3be6+wt0vAHYAxUCDim5tF9XnbXNFDUvV501EJF3WAguAKmBhwmMW8OEUrl8DjE54PSqMJboMeBTA3V8CcgneK5tw9xnuPs3dpw0ePLiNfwxJp1019Xzh3ld4b/2OpGMjBubywGXTVXQT6cZS3Wp6cUTskg7Mo8sryIvYaqoebyIincLMSszsz8AM4FPAj8zsr2amTw5t0FKft3nq8yYikhbu/oa73wsc5+73Jjz+BAxJ4RavAJPC98EcguEJs5qd8wFwKoCZ7U9QeCvruD+FpJO7853H3mDhyi1Jx4r65XDfZdMZUdA3hsxEpKPsdaupmV0AXAiUmFniX/D5QK9aaRA1XGHrrlrqG5zMDG3PERFJFzMbBTwCfM7dFyfEDwJ+bmaPAW+6+6qW7iF7TC8ZxIvLmhba5pWW8/ljxsWTkIhI7/CUmV3n7o8CmNm3CVaqNZ9Q2oS715nZV4E5QCYw090XmdkNwAJ3nwV8G7jTzL5FMGjhEnf3dP5hpOM8MG8lf3tzXVK8X04m91x6JBOH9I8hKxHpSK31eHsRWEewVPnmhPgOellD6+zMDPJzs5pMl3GH7btqKdSyXxGRdPoBcLW7Lw6LbKcD7wD7E3zrvw64jrBvTSIzmwl8BNjo7geFsSKCQt44YAXwaXffYkGTs1sIevFUEnxweTW85mLg2vC2PwlXL2BmRwD3AH0JGlp/o6t/2Dl6fFFSTH3eRETS7iRgRjjJdCjwLsHE0la5+2yC95jE2A8Snr8DHNdhmUqneWv1Nn78t3eT4jmZGdx50TSmjiqIISsR6Wh73Wrq7ivd/VngMnf/V8LjVeD4TsmwC4la9VauPm8iIul2uLs/HT534GB3PwaYCuSG70ktfXi5BzizWexq4Cl3nwQ8xZ6BDWcBk8LHFcDtsLtQdz0wPfw915tZ437N24HLE65r/ru6nENGF6jPm4hIJ3P3dcA/gGMIvvi51931F28vtm1XLVc++Co19Q1Jx37+yakcOzGpTZ+IdFOp9nh71My+a4G+ZvZ/BNPlepWolW1bVXgTEUm3bDNrXKE9HmhsgrI1fA2Q/K9WwN2fI7k1wrnAveHze4HzEuL3eWAeUGBmwwmaX89193J33wLMBc4Mjw1w93nhKrf7Eu7VZeVmZ3L4GPV5ExHpTGb2JMEXOAcB/wH8r5n9It6sJC7uzncfe4MPyiuTjn12+hjOO2xkDFmJSLqkWnibDowh2Hr6CsF0nl63nLkwYsBCeUVtDJmIiPQqzxAUxSBYefaUmT1EUAC7wcxOBea34X5Dw5UHAOsJtvwAjAQS+8StDmN7i6+OiCcxsyvMbIGZLSgri7/f9dHjByXFFq3dHkMmIiK9xm/c/SJ33+rubwHHAtviTkricfcLK5izaENS/MARA7juI3tt+yci3VBrPd4a1QK7CHrY5ALL3T1ydUFPVhSx1XSLVryJiKTbT4F/mNl77v43M5tN0Ht0E7Af8ABwTntu7O5uZmnvyebuMwgmsjJt2rTYe8AdNHJAUmyJtpqKiKSNu//FzMYCk9z9SSAb+N+Y05IYvPbBFn46O7mvW/8+Wdx64eHkZmfGkJWIpFOqhbdXgMeBIwk+7PzWzD7h7p9KW2ZdUNRW0y0VKryJiKSTu28Mm1HfZmYbgXlAPXA0MBr4rLuvbcMtN5jZcHdfF24X3RjG14T3azQqjK0haIqdGH82jI+KOL/Li5qQtmTDDg1YEBFJEzO7nKB/aBEwgeA947fAqXHmJZ2rqraebz3yOnUNyd/B/fyTUxlX3C+GrEQk3VLdanqZu//A3WvdfZ27n0swSa5XidxqqhVvIiJp5+7L3P3DwA3ABoLVbje5+6nu/l4bbzcLuDh8fjHBF0uN8YvCfqZHA9vCLalzgDPMrDAcqnAGMCc8tt3Mjg4nol6UcK8ubVRhXtKAhe1VdZTtrI4pIxGRHu9KglY92wHcfQkwJNaMpNPd/uwyVmxO7ut2ybHjOPvg4TFkJCKdIaXCm7svMLPjzexSADMrBp5Pa2ZdUORwBfV4ExHpTEOBfHd/DNhsZiV7OznsBfcSsJ+ZrTazy4CbgNPNbAlwWvgaYDZQCiwF7gS+AuDu5cCPCVZ/vwLcEMYIz7krvGYZ8ERH/UHTKTPDmDA4edXb0g3abioikibV7r77G/twaFDsrQek8yzfVMHtzy5Lik8dNZBrzp4SQ0Yi0llS2mpqZtcD0wh66dwN5BD01OlVAxYKI3q8acWbiEjniHgvyqaV9yJ3v6CFQ0lbe8LJpFe2cJ+ZwMyI+AKCCXXdzsQh/XlnXdOBCkvLdnLsxOKYMhIR6dH+ZWbfB/qa2ekEX9z8NeacpJO4O9f95W1q6pu2Sc/KMH7xqUPok6W+biI9WapbTT8GfBSoAAh76eSnK6muKqrwtlWFNxGRzqL3og40KbLPm1a8iYikydVAGfAW8EVgtrv/d7wpSWeZ9cZanl+6KSl++QnjmTxU/5QR6elSHa5Qkzj5zcx6ZdfHwn4RPd40XEFEpLPovagDRQ5Y2LgjhkxERHqFr7n7LQStDAAws2+EMenBtu2q5Sd/T55iOqqwL18/ZVIMGYlIZ0t1xdujZnYHUBBO5HmSoKdNr1IUseJtS6V6vImIdJKo96I7W7lGWjBpaESPt40VMWQiItIrXBwRu6Szk5DOd/M/36dsR/LwohvOPZC+OdpiKtIbpLTizd1/EfYi2E7QW+cH7j43rZl1QQUtbDVtaHAyMiyGjEREeg+9F3WssYP6kZVh1DXs6e29aWc1WypqIocJiYhI25nZBcCFQImZzUo4lA+UR18lPcUbq7Zy/7yVSfEPHziUU6YMjSEjEYlDqsMVfubu3wPmRsR6jZysDPr3yWJndd3uWIPD9qrayKKciIh0DDPLBJ5095NJeC+S9svOzGBccT+Wbmza121p2U6O7FcUU1YiIj3Oi8A6oBi4OSG+A3gzloykUzQ0ONf+5W282ezavJxMrj/nwHiSEpFYpLrV9PSI2FkdmUh3EdXnTdtNRUTSy93rgQYzGxh3Lj1J1ICF5oU4ERFpP3df6e7Puvsx7v4v4G3g3+7+qrvXtXa9dF+z317HW2u2JcWvOn0yIwr6xpCRiMRlryvezOzLBKOux5tZ4jcy+cAL6UysqyrMy2FV+a4msfKKGkqK1eNbRCTNdgJvmdlcwsmmAO7+9fhS6t4mDenPE81immwqItKxzKwQ+DFwELAeKDSzNQQDF9Rcsweqb3B+NXdxUnz/4QO45NhxnZ+QiMSqta2mDwJPAP9DMAK70Q5375U9CQqjBixosqmISGf4U/iQDjIhasVbmQpvIiIdxcwKgNnA9939qwnxk4GbzOxRYFFv/WzVUz3++hqWlSXXVK/7j/3Jykx105mI9BR7Lby5+zZgG3CBmRUBJcDG3vzGUBTRcHpLpQpvIiLp5u73mlkOMDkMve/u2uu/DyYNyU+KLd2wI4ZMRER6rOuAX7j7M2Z2P3A0sImg59tbgAHXAlfFl6J0pNr6Bm55aklS/Jjxgzh2YnEMGYlI3Fott5tZiZn9GZgBfAr4kZn91cwGt3LdTDPbaGZvJ8R+aGZrzOz18HF2wrFrzGypmb1vZh9OiJ8Zxpaa2dUJ8RIzmx/GHwk/jKVdQV5UjzcV3kRE0s3MTgKWALcCtwGLzeyEWJPq5sYP7kfzodxrt1U1GSIkIiL75AR3/2P4vBq4wN2PAT4DbAaeB06OKznpeH9cuJqVmyuT4t8+Y3LE2SLSG+y18GZmo4BHgO+5+yfd/Wp3/wJwDfBzM/sPMxvdwuX3AGdGxH/l7oeGj9nh7zkAOB84MLzmNjPLDKfY3UowyOEAgpV3B4T3+Vl4r4nAFuCy1P/Y7VcUtdVUwxVERDrDzcAZ7n6iu58AfBj4Vcw5dWu52ZmMLspLii/TgAURkY6Sa2aNX3EcDrwRPn8bONzdG+JJS9Khuq6eX0esdjtx8mCmjdPEcJHeqrUVbz8Arnb3xWb2mJltM7OXCL6ZySQYjX1d1IXu/hyQ6pbUc4GH3b3a3ZcDS4GjwsdSdy919xrgYeDc8M3rFOCx8Pp7gfNS/F37pCBqq6l6vImIdIZsd3+/8YW7LwaSlyFLm0RNNl2iwpuISEd5GTg1fH4b8E8z+ykwB7jDzI4EFsWVnHSsR15ZxdptVUnxq07XajeR3qy1wtvh7v50+NyBg8Ol0VOBXHd/laA41hZfNbM3w62ohTqGDHEAACAASURBVGFsJLAq4ZzVYayl+CBga8II7sZ4JDO7wswWmNmCsrKyNqbbVPSKNxXeREQ6wQIzu8vMTgofdwIL4k6qu4sasLBko/q8iYh0kBsJhigMdfe7CFr3/CXh5/8RTDyVbq6qtp7fPL00KX76AUM5ZHRBDBmJSFfRWuEt28waBzCMJ9jSCbA1fA3QluXRtwMTgEMJVsvd3IZr283dZ7j7NHefNnjwXlvTtaqwX0SPtwptNRUR6QRfBt4Bvh4+3gljsg+iBixoq6mISMdw91LgSmCWmf0YmA4UAV8F/gZ8J3E1t3RfD8xbycYd1UlxrXYTkb1ONQWeIdgG+kfgeuApM1tGUHS7wcxOBean+svcfUPj83Clwt/Cl2uAxF5xo8IYLcQ3AwVmlhWueks8P60KI1a8lWvFm4hIZ8gCbnH3XwKEfUD7xJtS96etpiIi6eXu883sGIItp4eE4XnATxJ28Eg3VlFdx+3PLkuK/8fU4ew/fEAMGYlIV9Ja4e2nwD/M7D13/5uZzSYYfb0J2A94ADgn1V9mZsPdfV348mMETUUBZgEPmtkvgRHAJIJ+CAZMMrMSgsLa+cCF7u5m9gzwSYK+bxcDj6eax74oiujxtlWFNxGRzvAUcBrQWBXqC/wTODa2jHqAqK2mq8orqaqtJzc7M4aMRER6HndvMLPFwVN/0szyCN7HtLe/B3hs4Wo2N+v7nWHwrdMmxZSRiHQley28uftGM/sUwZTRjQTfzNQDRxOsRPusu6+NutbMHgJOAorNbDXBirmTzOxQgn5xK4Avhr9nkZk9SrBtqA640t3rw/t8laD5aCYw090bm49+D3jYzH4CvAb8rl3/CbRRQV7EVtPKWtydPQOLREQkDXLdffdSLHffGX5wkX3Qv08WIwbmNmkG3eBQWlbBASP0Lb2ISEcws8uBKwi2mU4g6E/9W/YMXpBuqqHBufuF5Unx8w4dycSIdg4i0vu0tuINd18GfNjMJrFnafRN7v5eK9ddEBFusTjm7jcSNB9tHp8NzI6Il9L2wQ77rE9WJv1yMqmoqd8dq29wtlfVMbCvhuuJiKRRhZkdHg72wcyOAHbFnFOPMHFoftIUtiUbd6jwJiLSca4k+OwyH8Ddl5jZkNYuMrMzgVsIFiHc5e43RZzzaeCHBIsb3nD3Czswb2nFM+9vZMXmyqT4l0+aEEM2ItIVtVp4SzAUyHf3u81ssJmVuHtyab8XKOyXQ0VN0896WypqVHgTEUmvbwJ/MLO1BK0IhgGfiTelnmHi4P48t7jp1G8NWBAR6VDV7l7TuEMmHGDne7sg7GV6K3A6sBp4xcxmufs7CedMAq4BjnP3LakU86RjzYxY7fahScVMGqrVbiISSKnwZmbXA9MI+rrdDWQT9Hc7Ln2pdV2FeTms3tK08FZeWcM4+sWUkYhIz+fur5jZFIL3IoD33V1jpTvApKEasCAikmb/MrPvA33N7HTgK8BfW7nmKGBpuNMHM3uYYPDdOwnnXA7c6u5bIGgV1OGZS4veXbedF5ZuTopfdnxJDNmISFeVkeJ5HwM+ClQAhH3dem0Jv1ADFkREOo2ZHWlmwwDCQtvhBK0JbjazoliT6yEmRgxYWKrCm4hIR7oaKAPeIuhzPRu4tpVrRgKrEl6vDmOJJgOTzewFM5sXbk2VThLV223C4H6cMGlwDNmISFeV6lbTmnCSqAOYWa9e2lUYMWChvEKLLkRE0uQOgmmmmNkJwE3A14BDgRkEE65lH0wcnFx4W76pgtr6BrIzU/2OTkREooRbRu9z988Cd3bw7bOASQRD7UYBz5nZwe6+NSKPKwgGPDBmzJgOTqP32bSzmr+8njxn8NLjSsjI0NA9Edkj1X9NP2pmdwAF4USeJ+n4N41uozAvecXbxh1VEWeKiEgHyHT38vD5Z4AZ7v5Hd78OmBhjXj1GYb8civv3aRKra3BWbq6IKSMRkZ7D3euBsWaW/CFi79YAoxNejwpjiVYDs9y9Nuy/vZigEBeVxwx3n+bu0wYP1oqsffXg/A+oqWtoEhvYN5uPH958UaKI9HYpFd7c/RfAY8AfCXrr/MDd/y+diXVlRRFbTX/5z8X8vznvUVVbH3GFiIjsg8ywCTXAqcDTCcfaMiSoCTP7lpktMrO3zewhM8s1sxIzm29mS83skcYPSWbWJ3y9NDw+LuE+14Tx983sw+3NJ24ThyQvZtd2UxGRDlMKvGBm15nZVY2PVq55BZgUvjflAOcDs5qd8xeC1W6YWTHB1tPSjk1dmquuq+e+l1YmxS84agx5Oe3+p4mI9FCtFt7MLNPMnnH3ue7+HXf/L3ef2xnJdVXDBuYmxeoanFufWcZZt/ybl5YlN9gUEZF2e4igKfXjwC7g3wBmNhHY1p4bmtlI4OvANHc/CMgk+EDzM+BX7j4R2AJcFl5yGbAljP8qPA8zOyC87kDgTOC2cEtRtzNpSHLr1iUbVHgTEekgy4C/EXz+yk94tMjd64CvAnOAd4FH3X2Rmd1gZh8NT5sDbDazd4BngO+4uz6MpNnf3ljHpp3VTWKZGcZFx4yNKSMR6cpaLce7e72ZNZjZQHdv1wecnubk/YYwsG8223Yl93VbvqmCC+6cx2enj+GHHz1QvXFERPaRu99oZk8Bw4F/uruHhzIIer21VxbBdLlaIA9YB5wCXBgevxf4IXA7wRS5H4bxx4DfmJmF8YfdvRpYbmZLCabQvbQPecVCk01FRNLH3X8EYGb9w9cp/QXr7rMJBjEkxn6Q8NyBq8KHdAJ3Z2bEUIWzDhrGiIK+MWQkIl1dqlWhncBbZvY7M/t14yOdiXVlg/P78Pv/nB45Ba7R7+d/wLV/fps9nw9FRKS93H0ecDwwNiG22N1fbef91gC/AD4gKLhtAxYCW8MVBtB0etzuyXLh8W3AIFKbOIeZXWFmC8xsQVlZWXtSTruoAQvLylR4ExHpCGZ2kJm9BiwCFpnZQjM7MO68pO1eXl7OorXbk+JfOL4khmxEpDtItfD2J+A64DmCDyaNj17roJED+fvXj+ebp00iOzN6as0jC1Zx9wsrOjcxEZGe613gzrDH2pfMbGB7b2RmhQSr1UqAEUA/gq2iadEdGlpPiPgyqbSsgoYGfYEkItIBZgBXuftYdx8LfJtePKyuO3vw5Q+SYoeNKeDwMYUxZCMi3UGqwxXuJeix01hwezCM9Wp9sjL55mmTeeIbH2La2Oi/aH/y93d4bnHXXN0gItKduPtd7n4ccBEwDnjTzB40s5PbcbvTgOXuXubutQRfMB1HML27sQ1D4vS43ZPlwuMDgc2kNnGuWxiS34f+fZp2oNhVW8/67ZraLSLSAfq5+zONL9z9WYIvfaQb2VZZyxNvr0+KX3LsuM5PRkS6jZQKb2Z2ErAEuBW4DVhsZiekMa9uZeKQfB794jF878wpSccaHL764KuUaruOiMg+CwcXTAkfm4A3gKvM7OE23uoD4Ggzywt7tZ0KNDam/mR4zsXA4+HzWeFrwuNPh311ZgHnh1NPS4BJwMvt+sPFzMwYPzj5M6C2m4qIdIjScKLpuPBxLZo+2u08/sYaauoamsQK87I586BhMWUkIt1BqltNbwbOcPcT3f0E4MMEU90klJFhfPmkCVwcMclme1Ud/3nvgshhDCIikhoz+xXwHnA28FN3P8Ldf+bu5wCHteVe7j6fYEjCq8BbBO+HM4DvERTylhL0cPtdeMnvgEFh/Crg6vA+i4BHCYp2/wCudPf6ffqDxmhCVJ83DVgQEekIXwAGE6yw/iNQHMakG3nklVVJsfMOG0mfrG450FxEOkmrU01D2e7+fuMLd19sZtlpyqlbu+4jB7C0bCcvLG06xbt0UwVfe+g1Zl48jSxNOhURaY83gWvdvSLi2FFtvZm7Xw9c3yxcGnUvd68CPtXCfW4Ebmzr7++KJkSseCvdFPUft4iItIW7bwG+Hnce0n5vr9kWOVThM0eOjjhbRGSPVCtAC8zsLjM7KXzcCSxIZ2LdVVZmBrdeeDjjBuUlHXtucRm3PrMshqxERHqEzzUvupnZUwDuvi2elHqWyBVv2moqIrLPzGyumRUkvC40szlx5iRt8+iC5NVuh4wayJRhA2LIRkS6k1QLb18m2Ebz9fDxThiTCAV5Odx18bSkJtUAd/27lJ3VdTFkJSLSPZlZrpkVAcXhB5Wi8DEOGBlvdj3L+MitplrxJiLSAYrdfWvji3AF3JAY85E2qKqt5y+vJc9O+rRWu4lIClItvGUBt7j7x93948CvAW1k34uJQ/L5vwsOw6xpfEd1HX+I+LZERERa9EWCidpTCHqyNU7Yfhz4TYx59ThjB+WR0ex9a/32Kn1hJCKy7xrMbEzjCzMbC3iM+UgbzFm0nu1VTd8Lc7MzOOeQETFlJCLdSaqFt6eAvgmv+wJPdnw6PcvJU4Zw/pFjkuL3vLiC+ga9z4qIpMLdb3H3EuC/3L0k4XGIu6vw1oFyszMZXZTcKmF5mVa9iYjso/8Gnjez+83sAeA54JqYc5IURQ1VOPvg4QzIVdtzEWldqoW3XHff3eQlfJ78L3NJctnx45JiKzdX8tS7Gzo/GRGRbsjMTgmfrjGzjzd/xJpcD6Q+byIiHc/d/wEcDjwCPAQc4e7q8dYNfLC5kheXbU6Kf2aatpmKSGpSLbxVmNnhjS/M7AhgV3pS6lkmDsnnxMmDk+IzX1geQzYiIt3SieHPcyIeH4krqZ5qfHHyZFMV3kRE2sfMxprZQAB33wRUAGcAF5lZTqzJSUr+sDB5tVtJcT+OKimKIRsR6Y6Su/9H+ybwBzNbCxgwDPhM2rLqYb5wfAn/WlzWJDavtJxFa7dx4IiBMWUlItI9uPv14c9L486lN5gwJHnFW6m2moqItNejwMeAbWZ2KPAH4H+AQ4DbgP+MMTdpRX2D89jC1UnxT00bhTVv5i0i0oKUVry5+ysETa2/DHwJ2N/dF6YzsZ7khEnFTIz4IDPz+RWdn4yISDcV9sUZmPB6rJk9FWdOPZG2moqIdKi+7r42fP45YKa73wxcChwVX1qSiueWlLFuW1WTWGaG8cnDR8WUkYh0R3stvJnZkWY2DMDdawn6EtwI3GxmWlubIjPjC8eVJMX/+sZaNu6oirhCREQiPA/MN7OzzexyYC7wvzHn1OOMH5y81bR0U4WGAomItE/isqhTCIbW4e4N8aQjbfHHiNVuJ+83mCEDcmPIRkS6q9ZWvN0B1ACY2QnATcB9wDZgRnpT61k+fvhICvOaTr2pqW/ggXkfxJSRiEj34u53EGzJeRy4ATjB3f8ab1Y9z6B+OQzs2+z9qq6BNVvU2lVEpB2eNrNHzewWoBB4GsDMhhN+zpKuaWd1HU9GDMT7tIYqiEgbtVZ4y3T38vD5Z4AZ7v5Hd78OmJje1HqW3OxMLpw+Jin++3krqaqtjyEjEZHuxcw+D8wELgLuAWab2SGxJtUDmRkTIla9Lduk7aYiIu3wTeBPwArg+HAXEQQ9s/87rqSkdf9ctJ6q2qYLEwvzsjl5ypCYMhKR7qrVwpuZNQ5gOJXwG5pQqoMZJHTRMePIymjahHNzRQ2zXl/bwhUiIpLgEwQfWh5y92sIeo7eG3NOPVJkn7eNKryJiLSVBx5291+5+5qE+GvuPifO3GTv/hLxGe3sg4eTnZlSm3QRkd1a+1vjIeBfZvY4sAv4N4CZTSTYbiptMHRALh+ZOjwpPvOF5TFkIyLSvbj7ee6+MeH1y6gxdVqMjxywoMmmIiJtZWbPhz93mNn2hMcOM9sed34SrWxHNc8vKUuKn3fYyBiyEZHubq+FN3e/Efg2wZae4929sbNyBvC19KbWM112/Pik2Hvrd7Bysz7QiIjsjZlNNrOnzOzt8PVU4Lsxp9UjRW411WRTEZE2c/fjw5/57j4g4ZHv7gPizk+i/f3NtTSfKTSyoC9HjCmMJyER6dZaXSfr7vOA44GxCbHF7v5qOhPrqQ4eNZCpowYmxZ9bnPyNioiINHEncA1QC+DubwLnx5pRDzVhSPKKt1KteBMR2SdmlmlmI8xsTOMj7pwkWtQ2048eOoKMZm2DRERSkeoG9XeBO81svpl9ycySK0eSspP2S27I+a/Fm2LIRESkW8kLt5cmqoslkx5uTFFeUk/STTur2VZZ28IVIiKyN2b2NWADMBf4e/j4W6xJSaSVmyt4fdXWpPh5h2qbqYi0T0qFN3e/y92PI5gkNw5408weNLOTW7rGzGaa2cbGLUFhrMjM5prZkvBnYRg3M/u1mS01szfN7PCEay4Oz19iZhcnxI8ws7fCa35tZt3m64cTJxcnxV5atona+oaIs0VEJLTJzCYADmBmnwTWxZtSz5SdmcGYQXlJcU02FRFpt28A+7n7ge5+cPiYGndSkuzxiNVuU4bls9+w/BiyEZGeIOWRLGaWCUwJH5uAN4CrzOzhFi65BzizWexq4Cl3nwQ8Fb4GOAuYFD6uAG4Pf2cRcD0wnaCB9vWNxbrwnMsTrmv+u7qsQ0YVkJ/bdChsRU09r67cElNGIiLdwpXAHcAUM1sDfBP4crwp9VyabCoi0qFWoeF0XZ6785fX1yTFz9VqNxHZB1mtnwJm9ivgI8DTwE8Ttvr8zMzej7rG3Z8zs3HNwucCJ4XP7wWeBb4Xxu8LhzfMM7MCMxsenjvX3cvDPOYCZ5rZs8CAsP8cZnYfcB7wRCp/nrhlZWZw/MRinnh7fZP4c0vKmD5+UExZiYh0be5eCpxmZv2ADHffEXdOPdmEwf2Zy4YmsdJN6vMmItIWZnZV+LQUeNbM/g5UNx5391/GkphEWrR2e2RP048eOiKGbESkp0ip8Aa8CVzr7lH/4j6qDb9vqLs3bgtaDwwNn48k+Bao0eowtrf46oh4JDO7gmAlHWPGdI0epidMHpxceFu8ie98OKaERES6qIQPLc3jgD60pMv4qMmmWvEmItJWjfsTPwgfOeEjZWZ2JnALkAnc5e43tXDeJ4DHgCPdfUG7M+7FHo9Y7XbUuCJGFvSNIRsR6SlSLbx9zt3vTgyY2VPufqq7t2vJtLu7mXnrZ+47d58BzACYNm1ap/zO1pwweXBS7O2129i8s5pB/fvEkJGISJelpioxiNxqWqbCm4hIW7j7j8xsMDAWWOruyV379yJs93MrcDrBYoNXzGyWu7/T7Lx8gj5y8zsm896nvsGZ9UZyf7dzD9NqNxHZN3stvJlZLpAHFIe91RoHGAxgLyvM9mKDmQ1393XhVtKNYXwNMDrhvFFhbA17tqY2xp8N46Mizu82Rhb0ZcLgfixLWMrsDs8v3aQeAiIiCdz9R3Hn0BtNiFjxtnJzJbX1DWRnptwiVkSkVzOzy4D/AZYBJWZ2hbvPasMtjiIo2JWG93uYoE3PO83O+zHwM+A7+5517zR/+WY2bK9uEsvKMM4+aHhMGYlIT9Hav5y/CCwkGKjwavh8IfA48Jt2/L5ZQONk0ovD+zTGLwqnmx4NbAu3pM4BzjCzwrDwdwYwJzy23cyODqeZXpRwr24jatXbvxaXxZCJiEjXZ2bjzeyvZlYWTs1+3MzG78P9CszsMTN7z8zeNbNjOnL6dndXkJdDcf+mu6HqGpxV5ZUxZSQi0i19CzjQ3Y8BjgWuaeP1LbXe2S18Txrt7n/f243M7AozW2BmC8rK9JmjucdfS17tdtJ+gyns16adwSIiSfZaeHP3W9y9BPgvdy9JeBzi7nstvJnZQ8BLwH5mtjr8tucm4HQzWwKcFr4GmE3QcHQpcCfwlfD3lxN8e/NK+LihcdBCeM5d4TXL6CaDFRJFFd7+vWQTwYwJERFp5kHgUWA4MAL4A/DQPtzvFuAf7j4FOAR4l46dvt3tjS+O2m6qAQsiIm1Q4+5lsHtIUIf2lDGzDOCXwLdbO9fdZ7j7NHefNnhw8ueQ3qy2voE576xPimsnkoh0hNa2mp7i7k8Da8zs482Pu/ufWrrW3S9o4dCpEec6cGUL95kJzIyILwAOaun3dwdHlwwiJyuDmrqG3bGyHdW8u24HB4wYEGNmIiJdUp6735/w+gEza9eWGjMbCJwAXALg7jVAjZl1yPRt9q0g2GVMGNKPl1eUN4ktK9vJ6btnI4mISCtGmdmvW3rt7l9v5fqWWvI0yif4TPRsOHRoGDDLzD6qAQupm19aztbK2iaxvtmZnLa/3u9EZN+1NlzhROBp4JyIYw60WHiT1vXNyeSocUU8v3RTk/hzS8pUeBMRSfaEmV0NPEzwHvQZYHa46oyEFdGpKAHKgLvN7BCCNgrfoOOmb/cIkQMWNNlURKQtmn9BtLCN178CTDKzEoKC2/nAhY0Hw0F3xY2vzexZgt1KKrq1wRNvr0uKnTxlMH1zMmPIRkR6mr0W3tz9+vDnpZ2TTu9zwuTi5MLb4jK+dOKEmDISEemyPh3+/GKz+PkEhbi29HvLAg4Hvubu883sFvZsKwU6dvq2mV1BsEWVMWPGdMQtO8X4iAELmmwqIpI6d78XwMwOdve32nF9nZl9laD3dSYw090XmdkNwII2DmqQCPUNzpxFG5LiZ2qogoh0kJTGkpnZ/eG2nMbXY83sqfSl1XtE9XlbsGILlTV1MWQjItI1hT1sPtes32jio61DFlYDq919fvj6MYJC3IZwCyltmL69ty1AQPftqxO14u299Tuob1AvUhGRNrrNzF42s68kfq5KhbvPdvfJ7j7B3W8MYz+IKrq5+0la7dY2C1duYdPOptNMc7IyOGXKkJgyEpGeJqXCG/A8MN/Mzjazy4G5wP+mL63eY7+h+QzJb9pjtaa+gXmlm2PKSESk63H3Bto3Tbul+60HVpnZfmHoVOAdOmj6dkflGbfRhXnk5zZdHF9ZU69VbyIibeTuHwI+S/BlzUIze9DMzog5LSF6m+kJk4rp36e1rkwiIqlJqfDm7ncA/0nwAeQG4AR3/2s6E+stzIwPTUpe/fDc4k0RZ4uI9GpPmdknLOwe3QG+BvzezN4EDgV+SsdO3+72MjKMqaOSF2a8vmprDNmIiHRv7r4EuJZgaM+JwC1m9l7UEDvpHO7OnLeTp5lqm6mIdKRUt5p+nmCy6EXAPQTNrA9JY169ygmTi5Nizy0uiyETEZEu7YvAHwimj243sx1mtr29N3P318Ptn1Pd/Tx33+Lum939VHef5O6nNRbRPHBluM3n4MRtPO4+090nho+79/2P2bUcMqogKfbmahXeRETawsymmtmvgHeBU4Bz3H3/8PmvYk2uF3tj9TbWbqtqEsvKME7XNFMR6UCprp/9BHC8u28EHjKzPwP3EqwQkH30oUmDMQNPaJlTuqmC1VsqGVWYF19iIiJdiLvnx51DbzQ1ovD2xqptMWQiItKt/R9wF/B9d9/VGHT3tWZ2bXxp9W5R20yPmTCIgXnZMWQjIj1VqltNzwuLbo2vXwaOSltWvUxRvxwOHpm8lWd+aY/ZrSQiss/C/mqfM7PrwtejzUzvRWl26Ojkwtt767dTVVsfQzYiIt3Wn939/sSim5l9A8Dd748vrd7L3flHxDbTs7TNVEQ6WKpbTSeb2VNm9nb4eirw3bRm1sscM35QUmz+cg1YEBFJcBtwDHBh+HoncGt86fQOwwbmMnRA0yFAtfXOu+vavctXRKQ3uigidklnJyF7vLtuBys3VzaJZRiccaC2mYpIx0p1qumdwDVALYC7vwmcn66keqPp44uSYi8v14o3EZEE0939SqAKwN23ADnxptQ7RG03fXO1tpuKiLTGzC4ws78CJWY2K+HxDKB/7MfoHxHbTI8cV0Rx/z4RZ4uItF+qPd7y3P3lZoPk6tKQT691xNiipD5vKzZXsmF7FUMH5MaXmIhI11FrZpmAA5jZYKAh3pR6h0NHFzD3nQ1NYm9osqmISCpeBNYBxcDNCfEdwJuxZCQAPBG5zXRYDJmISE+XauFtk5lNYM+HnU8SvIFIBxnYN5sDhg9g0dqmW3fmLy/no4eMiCkrEZEu5dfAn4EhZnYj8ElADak7wdRRyX1IX9dkUxGRVrn7SmAlQasE6SKWbtzJko07k+Jnqr+biKRBqoW3K4EZwBQzWwMsBz6Xtqx6qaNKipIKby8v36zCm4gI4O6/N7OFwKmAAee5+7sxp9UrTB2ZvNW0tKyC7VW1DMjV5DcRkZaY2fPufryZ7SBcxNB4CHB3HxBTar1a1DbTw8YUMGygdhqJSMdLqfDm7qXAaWbWD8hw9x3pTat3ml4yiLtfWNEkpsmmItLbmVku8CVgIvAWcIe7q91BJxqYl01JcT+Wb6poEn9r9TaOm1gcU1YiIl2fux8f/syPOxfZQ9tMRaQz7bXwZmZXtRAHwN1/mYaceq0jxxUmxZZs3MnmndUMUpNPEem97iUY7vNv4Cxgf+CbsWbUCx0yamBS4e2N1VtVeBMRSUHYtuf/s3ffcXLV9f7HX5+Z2b7Z1E1I70DoYEgQLChVVPDea0HFi8IV9Yd67YJd7/WK16tYUVFRbCgWqihdEKSkAIEkJATS+6ZsssnWmc/vj3Nmd3ZnNtlky5nyfj4e5zFzvqfM5zvZzHfOZ77n+93g7q1mdiZwAvBLd9d9+0Nsw679WXcZAZx/rG4zFZHBcbBZTYcdZJEBNLq2gtlja7PKF6zZFUE0IiJ54xh3v8Tdf0wwrturog6oFJ04Oft2U02wICLSZ38CkmY2i2AIn8nAb6MNqTTd12OyIIA54+uYMro6gmhEpBQcsMebu395qAKRwPwZo7IG+nxi9Q7OV9dnESld7ekn7t7RY4ZtGSInTMpOvC3Z0BhBJCIiBSkVtmH/AnzP3b9nZk9FHVQpuidH4u3cY8ZFEImIlIqD9XgDwMxmmNkdZrbdzLaZ2W1mNmOwgytF86aPzip7crXGeRORknaime0xs73h4NQnZKxn3ysig+LYCXUkYt2TnpsbW9i2pyWiiERECkq7mb0duBS4MyzT7DRDrHF/aUx3igAAIABJREFUO0/kuLY6R4k3ERlEfUq8EXSDvhkYD0wA/gDcNFhBlbL500dllS3bvIfG5vYce4uIFD93j7t7nbsPC5dExrpmgxsilWVxjjoie5SJZ9TrTUSkL94DvBz4qruvNrPpwK8ijqnkPLhiG8mUdyubOKKKYyfo64SIDJ6+Jt6q3f1X7t4RLr8GNNfyIBhXV8m0HuMLuMOiter1JiKlzcyyLlBylcng0ThvIiKHzsziwGfd/cPufhOAu692969HHFrJuWdZ9mym5xwzDg1jISKDqa+Jt7+a2VVmNs3MpprZp4C7zGyUmWV30ZJ+mZ/jdtMnXlLiTURK3rGZK2aWAF4WUSwl6cRJw7PKntmgxJuIyIG4exKYamblUcdSylo7kjy0YntWuW4zFZHBdsDJFTK8NXx8X4/yiwEHNN7bAJo3fRS/X7i+W1musQhEREqBmV0NfAaoyhjTzYA2gpnhZIj01uPN3dVbQETkwF4CHjWz24F96UJ3/1Z0IZWWf764g31tyW5ldZUJ5uUY6kdEZCAdNPFmZjHgEnd/dAjiEcj54f/cxkb2tXZQU9HXXKmISHFw968BXzOzr7n71VHHU8pm1ddSVRanub3rwmVPSwdrduxn+piaCCMTEcl7L4ZLDMgeMFMG3T1Ls2czfe3RYymL9/UmMBGRw3PQLI67p8zs+8DJQxCPAJNHVTNxRBUbdzd3lnWknMXrdvHK2fURRiYiEqm/mtmreha6+8NRBFOKEvEYx08czpNruvfCXrJhtxJvIiIH4O5fjjqGUpZKOfctz068nXvsERFEIyKlpq/p/fvN7N9M95EMmVy93p7U7aYiUto+mbF8HrgD+FKUAZWiEydnj/P2tCZYEBE5IDOrN7NvmNldZvZAeok6rlLx9IbdbN/b2q2sPB7jVUeqU4OIDL6+Jt7eB/wBaDOzPWa2N2OcHRkE83Mk3jTBgoiUMnd/Y8ZyDnAcsCvquErNCZOyx3lbsqExgkhERArKb4DngenAl4E1wIIoAyol9y7L7u12+qzR1GoYHxEZAn1KvLn7MHePuXuZu9eF63WDHVwpy9Xj7en1u2lpT+bYW0SkJG0A5kQdRKk5KccEC89ubKSptSOCaERECsZod/8Z0O7uD7n7ZcBrow6qVORKvJ17jG4zFZGh0afEmwUuMbPPh+uTzWze4IZW2qaPqaF+WEW3srZkiqfW6XYeESlNZvY9M/tuuHwf+AewOOq4Ss2kkVWMqS3vVtbWkeLeZVsiikhEpCC0h4+bzez1ZnYycNDpNM3sfDNbYWarzOyqHNs/ZmbLzGyJmd1vZlMHOvBC99L2JlZta8oqP3vO2AiiEZFS1NdbTa8DXg68I1xvAn4wKBEJAGaWs9fb/TkGBRURKRELgUXh8hjwaXe/JNqQSo+ZcV6OwahvfWpTBNGIiBSM/zaz4cDHgU8APwU+eqADzCxOcM31OuAY4O1mdkyP3Z4C5rr7CcAfgf8d6MALXa7ebidNHsHYusoIohGRUtTXxNt8d78SaAFw911A+YEPkf56dY7BPv+2dAvuHkE0IiLRcvcbgZsIEm/PAE/295xmFjezp8zsznB9upk9EfYs+L2ZlYflFeH6qnD7tIxzXB2WrzCz8/obUyG46KSJWWWPrGqgoak1x94iIuLud7p7o7s/5+6vcfeXufvtBzlsHrDK3V9y9zbgd8BFPc77oLvvD1cfByYNfPSFLedtpseOiyASESlVfU28tYe/uDgEs/IAqcN9UTNbY2bPmtnTZrYwLBtlZvea2Qvh48iw3MLbilaFXahPyTjPpeH+L5jZpYcbT746e844Yj3mkd2wq5llmzWvhYiUHjM7E3iB4Nf/64CVZvaqfp72P4HlGetfB65191kEEzdcHpZfDuwKy68N9yPseXAxcCxwPnBd2F4WtblTRzJxRFW3smTKuevZzRFFJCKS38xshpndYWYNZrbNzG4zsxkHOWwisD5jfUNY1pvLgb/2N9Zism1vC4vWZc/DdO4xSryJyNDpa+Ltu8AtwFgz+yrwCPA//Xzt17j7Se4+N1y/Crjf3WcD94frEHStnh0uVwA/hCBRB3wRmE/wa9AX08m6YjGqppz500dnld+9VLebikhJ+iZwrru/2t1fBZxHkAQ7LGY2CXg9we0+mJkRDHT9x3CXG4E3hc8vCtcJt58V7n8R8Dt3b3X31cAqgjapqMVixhtPnJBVfutTGyOIRkSkIPwWuBk4ApgA/IGgF/eAMLNLgLnANw6wzxVmttDMFm7fvn2gXjqv/fXZLfS8WWj6mBpm1tdGE5CIlKS+zmr6G+BTwNeAzcCb3P0PAxxL5kVNz4udX3rgcWCEmY0nuOC61913hre+3kvQ26ConJejG/Tdz2kAaxEpSWXuviK94u4rgbJ+nO/bBG1bugf3aGC3u6en58zsWdDZ6yDc3hju36feCMV4sXPRSdmJt8XrdrNux/4ce4uIlLxqd/+Vu3eEy6+Bgw0ythGYnLE+KSzrxszOBj4LXOjuvd7z7+7Xu/tcd59bX589pE0xuuOZ7PFHX3fcEQS/nYmIDI0DJt7MrNLMPhLOHvdq4Mfu/n13X36g4/rAgXvMbJGZXRGWjXP39D0qW4B0xqm3i5o+d70u5Auec3MMYL1i617WNOyLIBoRkUgtNLOfmtmZ4fITggkXDpmZvQHY5u6LBjbE3IrxYmfO+DqOGjcsq/z2Z9TrTUQkh7+a2VVmNs3MpprZp4C7wuF2epvddAEwOxx/tJxgaINu48KFs6P+mCDptm1Qa1BgNu1uZuHa7NtMc/XYFhEZTAfr8XYjQZflZwlu+fy/AXrdV7j7KeE5r+w5Ro8HswcM2AwChXzBM2FEFSdMGp5VfvdS9XoTkZLzAWAZ8OFwWRaWHY4zgAvNbA3BYNWvBb5D0Ks6Ee6T2bOgs9dBuH04sIM+9kYoVhfm6PV269ObNAmQiEi2twLvAx4AHiRovy4mmDAo549IYQ/rDwJ3E4xHerO7LzWzr5jZheFu3wBqgT+E42cfbMKGkvGXJdnjjs6sr+HoI7J/NBIRGUwHS7wd4+6XuPuPgTcD/R3EGgB33xg+biMYO24esDW8hZTwMf2LTW8XNSVzsXNejl5vSryJSKkJx1H7lrv/a7hce6Bbag5yrqvdfZK7TyO48HnA3d9JcDH05nC3S4Hbwue3h+uE2x8IfyS6Hbg4nPV0OsF4pP2ebbVQXJij18CqbU2aBEhEJGRmp5rZEe4+3d2nA18GngPuAF4Wlvc6yYK73+XuR7r7THf/alj2hfSMqO5+truPC8fOPsndL+ztXKXmziXZt5m+8cQJus1URIbcwRJv7eknGWPe9IuZ1ZjZsPRz4FyCxifzoqbnxc6/h7ObngY0hrek3g2ca2Yjw0kVzg3Lik6uxNvidbvZuqclgmhERIZWOAv2kt6WAX65TwMfM7NVBGO4/Sws/xkwOiz/GOEEQO6+lGCw7GXA34Ar3T05wDHlrcmjqpk7NXteo9ufzr7YEREpUT8G2gDCu3y+RnBXUSNwfYRxFbV1O/bzzIbGrPI3nKDbTEVk6CUOsv1EM0v/bG1AVbhuBHeE1h3Ga44Dbgl/aUgAv3X3v5nZAuBmM7scWEvQHRvgLuACgpni9gPvIXjxnWb2XwRjHwB8xd13HkY8eW/W2Fpm1tfw4vbu47rds2wr7zptakRRiYgMmTeEj1eGj78KHy9hAIYlcPe/A38Pn79EjllJ3b0FeEsvx38V+Gp/4yhUF508MWsMnduf2cSnzz+aWEy9CkSk5MUzrlHeBlzv7n8C/mRmT0cYV1G7I0dvtznj65g1VrOZisjQO2Dizd3jA/2C4UXNiTnKdwBn5Sh3ui62em67AbhhoGPMR+cdewTX/f3FbmX3LN2ixJuIFD13XwtgZue4+8kZmz5tZosJe59JNF5//Hi+fPtSOlJdOdDNjS08uWYnp80YHWFkIiJ5IW5mifDuobOAKzK2HawThBymO3OM7/aGE8ZHEImIyMFvNZU8cf5x2bebPvbiDhr3t+fYW0SkKJmZnZGxcjpqxyI3qqacV84ek1V+m243FREBuAl4yMxuA5qBfwCY2SyC201lgK3a1sTyHGONvlG3mYpIRHTBUiCOnzicCcMru5V1pJz7n98aUUQiIkPucuA6M1tjZmuB64DLIo5JgDedPDGr7C9LNtHYrB+HRKS0hcMRfBz4BfAK75r2OQZ8KKq4ilmuSRVOnDScKaOrI4hGRESJt4JhZpyr2U1FpIS5+yJ3P5FguIITwtnbFkcdl8DZc8ZRVdZ9dIo9LR1c89flEUUkIpI/3P1xd7/F3fdllK1UGzbw3J07nsk9m6mISFQ0rkABOffYcfzin2u6lT20cjvNbUmqygd8OD4RkbxgZh/rpRwAd//WkAYkWWoqErz+hPH8cdGGbuU3PbmeC0+cyMtnaqw3EREZfM9v2Zs1IR3ABcdrfDcRiY56vBWQedNGMbK6rFtZS3uK+5brdlMRKWrDDrJIHvjoOUdSk+NHoKv/vISW9mQEEYmISKnJ1dvt1GkjmTCiKoJoREQC6vFWQBLxGGfPGccfevQouPa+lZx/3BGUxZVHFZHi4+5fjjoGObiJI6r49OuO5gu3Le1WvmbHfq69byVXv25ORJGJiEgpcPdeZjPVbaYiEi1lagrMhSdlNxwvbd/HTU+uiyAaEZGhY2aTzOwWM9sWLn8ys0lRxyVdLpk/lblTR2aV//Qfq3luoybvExGRwfPE6p2s27m/W1nM4HXHZ4+TLSIylJR4KzCvmDWGedNHZZV/+74X2NOi2eNEpKj9HLgdmBAud4RlkidiMeOafzue8h49sJMp59N/WkJHMhVRZCIiUuy+/8CqrLLTZoxm7LDKCKIREemixFuBMTM+9/rs23V27mvjBw9mNzYiIkWk3t1/7u4d4fILoD7qoKS7WWOH8cHXzsoqX7ppD9f/46UIIhIRkWK3aO1OHlnVkFX+tlMnRxCNiEh3SrwVoBMmjeBfTp6YVf7zR9awvkf3ahGRIrLDzC4xs3i4XALsiDooyfb+V8/kqHHZ8158856V/OaJtRFEJCIixey792d3QJgxpkbju4lIXlDirUB98ryjqEh0/+drS6b4+t+ejygiEZFBdxnwVmALsBl4M/CeSCOSnMoTMb7+5hOIWffyZMr57C3Pcc1fnyeV8miCExGRovL0+t08tHJ7VvkHXzuLeM+GSEQkAkq8FagJI6r4j1dOzyq/c8lmFq/bFUFEIiKDy93XuvuF7l7v7mPd/U3urpll8tRJk0fwnjOy2ymAHz30Iv/5+6dpaU8OcVQiIlJsvnf/C1llU0dXc+GJ6u0mIvkhEXUAcvg+cOYsfr9gPQ1Nbd3K//vOZfzpA6djpl94RKTwmdn3gF67R7n7h4cwHDkEnzzvKFZu3cs/Xsged+eOZzaxpbGZ6981l5E15RFEJyIihe65jY3c//y2rPIrXzOLRFx9TEQkP+jTqIDVViT46DlHZpUvXrebb96zEnfdxiMiRWEhsChcLsx4nl4kT1WWxbnh3afy5pdNyrl9wZpdnHPtw/z80dW0dqj3m4iIHJrv5ujtNmlkVc7xsEVEoqLEW4F729zJzB5bm1X+/QdX8ak/LqE9mYogKhGRgePuN6YXYFfmelgmeawsHuMbbz6Bj+X4oQigoamVL9+xjNf+30P8fsE6OtRuiYhIHyzbtId7lm3NKr/yNbMoU283Eckj+kQqcIl4jM+8fk7ObX9YtIH/uHEh+1o7hjgqEZFBo668BcjM+PBZs/nmW04k0ctA1xt3N/PpPz3LOdc+zK8eW8P2va1DG6SIiBSU7z+Y3dttwvBK/u2U3L2sRUSiosRbETjzyHreddrUnNseWrmdi69/XBcwIiISuX972SR+edk8hlX2PsTs6oZ9fP62pcz/n/t4508f57dPrGPnvrZe9xcRkdJz77Kt3PXslqzyD5w5k/KELnFFJL9ocoUiYGZ85aJjqatK8IMHX8za/uzGRi78/iO871UzeMvcydRU6J9dRAqHme2lq6dbtZntSW8C3N3roolMDsfps8Zw14dfyf/evYI7ntnU634ph0dX7eDRVTv4/G3PcdLkEZw6bRTzpo/kZVNHMbyqbAijFhGRfPHg89v4f7/JHuJ1XF0Fb5k7OYKIREQOTBmYImFmfPK8ozlieBVfvO05Uj1uxtrc2MKX7ljGN+9dycWnTubS06cxaWR1NMGKiBwCdx8WdQwysCaPquZ7bz+ZD7x6Jt+6dwX3Lc+ekS5TMuUsWruLRWt38aOHwAyOPqKOkyYP56hxwzh6fB1HHzGMEdWaHVVEpJg9vHI77/v1ItqT2SNPvP/VM6ksi0cQlYjIgSnxVmTeddpUxg2r4MO/e4qW9uwBqve2dPCTf6zmZ4+s5hWz65k/fRRzp47kxMkj1FCJiMiQOmZCHT+99FSeWreLb96zkkdWNfTpOHdYvnkPyzfv6VZ+RF0ls8bWMnlUNVPCZfKoKiaOqGJkdTmxXsaXExGR/PfPVQ2895cLaevIvsY5feboXofeERGJmhJvRejcY4/gt+89jct/sYBd+9tz7pPy4Bejh1duB6Asbhw/cTjHTxzOlNE1TB1VzdTR1UweVa2EnIiIDKqTp4zk1/8xn6WbGrlzyWbuXLKJ9TubD/k8W/a0sGVPS85tZXFj7LBKxtZVcERdJfXDKhhVU87omnJG1YTPa8sZUVVGXVWZ2j4RkTzy6KoG/uPGhbTmSLrNmzaKn146l4RmMhWRPKXEW5E6ZcpIbr3yDL50+1IeXLH9oPu3J53F63azeN3ubuVmMLqmgjG15dQPq2B0TTljaisYVVvOsMoy6ioT1FUFj8Mqy6gqi1NTkaC6PE5FIoaZeheIiEjfHDthOMdOGM6nzjuKJRsa+cuzm/nLks1s3H3oSbie2pPOxt3NfT5XZVmMEVXlDK8qY1hlIlzKqA2f15YnqKlIUFsRPFZXxKkpT1BVFqeqPE51uCTiMeJmxGKQiMWIGWobRUT6YPf+Nm5/ZhN/XLSBJRsac+5zypQR3PCeU6ku12WtiOQvfUIVsamja/j5e+bxwta93PDoGv68eEPOX4kOxB0amlppaGrl+S17D+nYmEF1eYLKshgViSARV1EWPJYnYpTHY5TFjfJEjLJ4sCRiRiIsT8SCx3jMSMSMeCxGIlyPW/gYM2Kd6xDLLDcL14OLnPSFj5lhBI8xA8MwC0Zpx4JzpLeny826H9dZFh5Lj3Xred5wO1llXecKt5J5PdZ1butxnhz7Zr75GftknStzt4wT9Dx/99PlLOyb7CE4gsPT/17h+xyPWbf3Jf0S3d8PXazKwDCzycAvgXEEf6XXu/t3zGwU8HtgGrAGeKu777Lgj+87wAXAfuDd7r44PNelwOfCU/+3u984lHUpRmbGiZNHcOLkEVz9uqNZv7OZJ1bvYMGanSxYs4vVDfsGPYaW9hRb2nvvQdcfsbCticWCdigetlexsL2LZbRzmQm7dNsW77Ff1yMZbZ91Jvky279Y2PbFOts4y4gHIH1c9/YQstu2zLaxe/vZo30MDz6UdqwvH/ceti/e7bnjHjY97jiQ8qAs5eDupNxJOVQkYuGPh2UMryqjripBdXmis36Z71FW257jvTiUNr5n+95zn/R7mnXcAc6NdW/r+/IdI/u7So9j1O7mBTM7n6ANigM/dfdremyvIGjTXgbsAN7m7muGOs7DlUo5DU2tbNzdzObGFjbtbuap9bu5d+lW2pK9X7ucOGk4v7hsHrWaOE5E8pw+pUrA7HHD+Nq/Hs8nzzuKm55cxy8fW8PWPa2D/roph6bWDpoG/6VEgN6Shult2UnGgx/b94Rjf855oLgPpreLolyJWIATJg3nN/9xWh/PXtQ6gI+7+2IzGwYsMrN7gXcD97v7NWZ2FXAV8GngdcDscJkP/BCYHybqvgjMJbjWX2Rmt7v7riGvUZEyM6aMrmbK6OrO2eq27W3h2Q2NPL9lL8s372HFlr281LCPZM+ZhfJUyoNkUNZMSCJ56mAJPXr80NhbQi9dcN07T+GVs+uHKvyCZmZx4AfAOcAGYEHYzizL2O1yYJe7zzKzi4GvA28byDi++pdl/G7B+v6fKEyMp8IkuDt0pPyQP7+Pm1jHLy+bT12lZrgWkfynxFsJGVVTzpWvmcX7Xz2T5Zv3sHDNThas3cWC1TvZtlfZMSl8nuM7mx9o48HP2I9o8tO+1mTUIeQFd98MbA6f7zWz5cBE4CLgzHC3G4G/EyTeLgJ+6e4OPG5mI8xsfLjvve6+EyBM3p0P3DRklSlBY4dVctacSs6aM66zrKU9yeqGfazbuZ/1O/ezLmPZtqeVptaOCCMWKWyZvQuz29NDbys7lHQ+FPOAVe7+EoCZ/Y6gTcpMvF0EfCl8/kfg+2ZmYZs1IFraU+xtyY/P0eMnDueXl81jeLWSbiJSGJR4K0HxmHHcxOEcN3E47z5jOu7Ohl3NPLNhN2t37Gftjn2s3RFcrGxuHPhbbERE8omZTQNOBp4AxoVJOYAtBLeiQpCUy/ypf0NY1lt5z9e4ArgCYMqUKQMXvHSqLIszZ3wdc8bX5dze1NrB1j0tbN3TwrY9wRAKO/e1saOpjR372ti5r5Xd+9tpbG5nd3N7wfSeEylEuoH1kORqZ+b3to+7d5hZIzAa6NtU0QXiuIl1vG3uZN526hTKE5pIQUQKhxJvgpkxeVQwg2lPrR1JGpraaNgbXKTsaGpje1Mrjc3t7G1pZ09zB3ta2tnT3M7e1g6a25Lsb0uyv62D9qQuWkQkv5lZLfAn4CPuvifz1l13dzMbkA8yd78euB5g7ty5+nCMQG1Fgtr6WmbW1x50X3dnX1uS3fvbwvauI1zaOx/3tSXZ39pBU2uSfa0d7GvragOb24N2cH9bkmTK6Ug5qZSTDG+rEil1GjsuGoX4I9DomnLedPJE3vyySb3+sCIiku+UeJMDqkjEmTiiiokjqg752PZkiv1tSdo6UrS0J2ntSNHakaSlPUV7MljaOoLH1o4UHUmnI5WiPel0JFN0hBcryZR325byoKxz8fCCJvO5BwO1psePSKa6jyWRCq980s+DgZjDR+8+OLN3Ds5M50DN2fsH+9FzW/hepM9BjrKsAaF7XJR1Hptj3859uu2fXdrtFpGM8/bcM+etmjkKD/W6sefX6/R7kQz/LT18nvl6me+NyGAwszKCpNtv3P3PYfFWMxvv7pvDW0m3heUbgckZh08KyzbSdWtquvzvgxm3DD4zCxJ1FQkmjRzYc3s4sH8yo43qXE8n6TLauW5tXvg8ler6/Ex1loXnyWgT0+d27zoWuk82EDzvsR7G2b2N7L2d694m9mz/urdZmbf/5267gv37Kj1uZuZ4YmSMQZae8CEWs8719MRKLe1JGpvbwx8QO2hsbqelI9lVj4z3qud3h1zfEw61je91n27vR/Z7l3VcxuunHw507vROvX1XGYq2V2m3Q9Jb+5Nrnw1mlgCGE0yy0E0+/whUV5lgwogqxg+vZPyIKiYMr+TYCcM5Y9YY9W4TkYKnxJsMmrJ4jOFVaihlYPU2XMmBxnfLlWQ8+LE5Eo6H8BW1P+fs68v0+l4c4PzxmC53AMJZSn8GLHf3b2Vsuh24FLgmfLwto/yD4dg684HGMDl3N/A/ZpZOz5wLXD0UdZDCFMwyqv+LUhjSiVQ4cEKva/+DJPTCwuqK+JDEXyQWALPNbDpBgu1i4B099km3XY8BbwYeGMjx3QA+c8EcPnHeUQNyrs6ZlK0rIa7kmogUs4JPvB1sem0RKS69zuJ5wGtYXeBKljOAdwHPmtnTYdlnCBJuN5vZ5cBa4K3htruAC4BVwH7gPQDuvtPM/ovgwgjgK+mJFkRECp2FiZGMkqhCKVnhmG0fBO4muN65wd2XmtlXgIXufjvBD0m/MrNVwE6C5NyAqiqPU4USpiIih6OgE299nF5bRESkG3d/hN6vIM/Ksb8DV/ZyrhuAGwYuOhERkS7ufhfBD0CZZV/IeN4CvGWo4xIRkb4p9D69ndNru3sbkJ5eW0REREREREREJFKFnnjLNb32xIhiERERERERERER6VToibc+MbMrzGyhmS3cvn171OGIiIiIiIiIiEgJKOgx3ujb9Nrdps42s+1mtrYP5x4DNAxEkHmgmOoCqk8+K6a6QHHVpz91KZb3IC8sWrSooQTbISiu+hRTXUD1yWfFVBfoX32mDmQgpa5E26JiqguoPvmsmOoCxVWf/tblsNoiG+CZpoeUmSWAlQQDYW8kmFXuHe6+dADOvdDd5/b3PPmgmOoCqk8+K6a6QHHVp5jqUiqK7d+smOpTTHUB1SefFVNdoPjqUwqK6d+smOoCqk8+K6a6QHHVJ6q6FHSPt96m1444LBERERERERERkcJOvEHu6bVFRERERERERESiVhKTKxym66MOYAAVU11A9clnxVQXKK76FFNdSkWx/ZsVU32KqS6g+uSzYqoLFF99SkEx/ZsVU11A9clnxVQXKK76RFKXgh7jTUREREREREREJF+px5uIiIiIiIiIiMggUOKtBzM738xWmNkqM7sq6ngOlZndYGbbzOy5jLJRZnavmb0QPo6MMsa+MrPJZvagmS0zs6Vm9p9heaHWp9LMnjSzZ8L6fDksn25mT4R/c783s/KoY+0rM4ub2VNmdme4Xsh1WWNmz5rZ02a2MCwryL81ADMbYWZ/NLPnzWy5mb28kOtTatQW5Q+1RflPbVF+UjtU2NQO5Q+1Q/lP7VD+ype2SIm3DGYWB34AvA44Bni7mR0TbVSH7BfA+T3KrgLud/fZwP3heiHoAD7u7scApwFXhv8ehVqfVuC17n4icBJwvpmdBnwduNbdZwG7gMsjjPFQ/SewPGO9kOsC8Bp3PyljiulC/VsD+A7wN3c/GjiR4N+pkOtTMtQW5R21RfnnPaHuAAAgAElEQVRPbVF+UjtUoNQO5R21Q/lP7VD+yo+2yN21hAvwcuDujPWrgaujjusw6jENeC5jfQUwPnw+HlgRdYyHWa/bgHOKoT5ANbAYmA80AImwvNvfYD4vwCSCD6rXAncCVqh1CeNdA4zpUVaQf2vAcGA14TiehV6fUlvUFuX3orYovxa1Rfm5qB0q7EXtUH4vaofya1E7lL9LPrVF6vHW3URgfcb6hrCs0I1z983h8y3AuCiDORxmNg04GXiCAq5P2A35aWAbcC/wIrDb3TvCXQrpb+7bwKeAVLg+msKtC4AD95jZIjO7Iiwr1L+16cB24Odht/efmlkNhVufUqO2KE+pLcpLaovyk9qhwqZ2KE+pHcpLaofyV960RUq8lRgP0roFNZWtmdUCfwI+4u57MrcVWn3cPenuJxH8MjIPODrikA6Lmb0B2Obui6KOZQC9wt1PIbit4koze1XmxgL7W0sApwA/dPeTgX306EJdYPWRIlOIf39qi/KP2qK8pnZI8loh/v2pHco/aofyXt60RUq8dbcRmJyxPiksK3RbzWw8QPi4LeJ4+szMyggamN+4+5/D4oKtT5q77wYeJOh6PMLMEuGmQvmbOwO40MzWAL8j6Fr9HQqzLgC4+8bwcRtwC8GXgEL9W9sAbHD3J8L1PxI0OoVan1KjtijPqC3KW2qL8pfaocKmdijPqB3KW2qH8lvetEVKvHW3AJgdzkJSDlwM3B5xTAPhduDS8PmlBOMC5D0zM+BnwHJ3/1bGpkKtT72ZjQifVxGMzbCcoLF5c7hbQdTH3a9290nuPo3g/8kD7v5OCrAuAGZWY2bD0s+Bc4HnKNC/NXffAqw3s6PCorOAZRRofUqQ2qI8orYof6ktyl9qhwqe2qE8onYof6kdym/51BZZOKCchMzsAoL7tOPADe7+1YhDOiRmdhNwJjAG2Ap8EbgVuBmYAqwF3uruO6OKsa/M7BXAP4Bn6bpn/jMEYxoUYn1OAG4k+NuKATe7+1fMbAbBLySjgKeAS9y9NbpID42ZnQl8wt3fUKh1CeO+JVxNAL9196+a2WgK8G8NwMxOAn4KlAMvAe8h/LujAOtTatQW5Q+1RYVBbVH+UTtU2NQO5Q+1Q4VB7VB+ype2SIk3ERERERERERGRQaBbTUVERERERERERAaBEm8iIiIiIiIiIiKDQIk3ERERERERERGRQaDEm4iIiIiIiIiIyCBQ4k1ERERERERERGQQKPEmcpjMrCl8nGZm7xjgc3+mx/o/B/L8IiJS+NQOiYhI1NQWiRycEm8i/TcNOKRGxswSB9mlWyPj7qcfYkwiIlI6pqF2SEREojUNtUUiOSnxJtJ/1wCvNLOnzeyjZhY3s2+Y2QIzW2Jm7wMwszPN7B9mdjuwLCy71cwWmdlSM7siLLsGqArP95uwLP1LkoXnfs7MnjWzt2Wc++9m9kcze97MfmNmFsF7ISIiQ0/tkIiIRE1tkUgvDpZhFpGDuwr4hLu/ASBsLBrd/VQzqwAeNbN7wn1PAY5z99Xh+mXuvtPMqoAFZvYnd7/KzD7o7ifleK1/BU4CTgTGhMc8HG47GTgW2AQ8CpwBPDLw1RURkTyjdkhERKKmtkikF+rxJjLwzgX+3cyeBp4ARgOzw21PZjQwAB82s2eAx4HJGfv15hXATe6edPetwEPAqRnn3uDuKeBpgu7eIiJSetQOiYhI1NQWiYTU401k4BnwIXe/u1uh2ZnAvh7rZwMvd/f9ZvZ3oLIfr9ua8TyJ/n+LiJQqtUMiIhI1tUUiIfV4E+m/vcCwjPW7gQ+YWRmAmR1pZjU5jhsO7AobmKOB0zK2taeP7+EfwNvCMRPqgVcBTw5ILUREpFCpHRIRkaipLRLphbK/Iv23BEiG3aN/AXyHoEvz4nAwz+3Am3Ic9zfg/Wa2HFhB0LU67XpgiZktdvd3ZpTfArwceAZw4FPuviVspEREpDSpHRIRkaipLRLphbl71DGIiIiIiIiIiIgUHd1qKiIiIiIiIiIiMgiUeBMRERERERERERkESryJiIiIiIiIiIgMAiXeREREREREREREBoESbyIiIiIiIiIiIoNAiTcREREREREREZFBoMSbiIiIiIiIiIjIIFDiTUREREREREREZBAo8SYiIiIiIiIiIjIIlHgTEREREREREREZBEq8iYiIiIiIiIiIDAIl3kRERERERERERAaBEm8iIiK9MLPzzWyFma0ys6tybJ9iZg+a2VNmtsTMLogiThERERERyU/m7lHHICIiknfMLA6sBM4BNgALgLe7+7KMfa4HnnL3H5rZMcBd7j4tinhFRERERCT/qMebiIhIbvOAVe7+kru3Ab8DLuqxjwN14fPhwKYhjE9ERERERPJcIuoAhtqYMWN82rRpUYchIlIwxowZw9133323u58fdSxDbCKwPmN9AzC/xz5fAu4xsw8BNcDZuU5kZlcAVwDU1NS87Oijjx7wYEVEitmiRYsa3L0+6jiKha6JREQO3eG2RSWXeJs2bRoLFy6MOgwRkYJiZmOijiFPvR34hbt/08xeDvzKzI5z91TmTu5+PXA9wNy5c13tkIjIoTGztVHHUEx0TSQicugOty3SraYiIiK5bQQmZ6xPCssyXQ7cDODujwGVgJKUIiIiIiICKPEmIiJFzsw+2JeyHBYAs81supmVAxcDt/fYZx1wVnjOOQSJt+39i1hERERERIqFEm8iIlLsLstRdvnBDnL3DuCDwN3AcuBmd19qZl8xswvD3T4OvNfMngFuAt7tmi5cRERERERCJTfGm4hIKWhPpmhuT9LSlqS5PVzaklSXJzjqiGFRhzckzOxtBL3UppvZnzM21QG7+3IOd78LuKtH2Rcyni8Dzuh/tCIi+c/dSaacpDupFCTDdRxS7uES7pfeN+V0pJxU+JhMOdPG1FBbocsQEZFil243OtJtQNLpSKWCtgLHnWAh+N3asODRwADvPE/XPtmvEeyXSnW1Qyl30r+FZ/4knn5amYgzZXT1wFe4F2rxRETygLvT3J6kqaWDptauZV9rkn2dz4Nlb2sHTS0d7GvrYG9L17amlmBbc1uSjlTuhunMo+r5xXvmDXHtIvMksINgbLYfZJTvBZ6KJCKRQZZMOe3JFG3JFJ4Kv3iS/gJK+OU3RUcy/SU4eN6eTNHe+di1Pb1/yp1kOGWIEX4htuALsll2HPGYkYgZMTMScSMeC26y8DCerO/Olj6vdZ0/PHf69OlETsqdjqR31snp/oU8ZsHrxmNGPBasp9w769eRdNqSmfUO6t4RPm/tSC9JWjtStHWkso7rSKU6k0nJ8L3p+sIfxJV+7y2MyYzOuHJJuXc/Z7LrEiN9hPV4s9P/DsE+lvG8673M5OG/QddFCZ2JtM6kWirYnn6v3YP3Pv18IPz2vfM5faaGwxQZbOnEQ8/PjqilP4c8o43qSHrX52zYNiV7JFJS6XYg1b1NSKU8qy1IpaAtmaStI2wXw8/y9pSTTKY6E0EdyVTX+VOZrxWey7t/dvb8QSHZeZyTDI9NhvVItyntyVTwIwVdn+edH9juWcmlVKp7fdNtXfq9g+5tXzp51e29Jf0eB3un69V5voy/ja6YgvY7bkYsfEy3WZ3vfeaPK8ngMf1epDJi6/q3HoA/mEFw8pQR3PL/hu63cyXeREQGSEt7ksbmdhqb29nT3M6elnb2NHeEj+2d2xqb29m9v2u/vWHirJdc2YBqbksO/ovkCXdfDaw2s38Cze7uZjYTOIrsy36Rg0qlnMbmdhqaWtm2t5Xte1vZtreFbXtaaWhqZU9LB3tb2tnbEiTF97S0A1AWj5GIGWXxGGXx4LE8Eet8rEjEiJl1JblS0JFKdX6x7/6YCn8t7l6eTiANxeeISH8l9YcqMmDakynW7tjP6oZ9rNu5n/U797NhVzMbdgWP+9o6GDusggkjqpgwooqJI6oYV1eJhwmT9o4gGdURJoeSGcmkpDut7UHyqKU9SUtHitb2ZOcPFG0dXc+7JcHSPZAyEj0pTyf5o37HRIaeEm8iIjm4O3uaO9je1NJ5gb19byu79rexc187u/e3sXNfG7v3t7O7OXhs7UhFHfZBtbSXTuItw8PAq8xsOPAAsJjgFtR/jzQqyQvuQTJty56Wzv/nDU2tNDS10bC3le1NrexoaqOhqZWd+9p67U0qIn2nxJvIoWvc386q7XtZta2JVduaeGn7Pl4Kk20H+z+1dU8rW/e08tS6Po20IVL0hjoBrMSbiJSc5rYkG3fvZ/2uZjbsambT7mYaMi+2wwvttmT+J9IOVUt78dWpD2Luvt/MLgN+6O7XmNnTUQclQ6elPcnqhn28uL2JF7ftY3VDE5t2t7BlTwtb97QURNJcpJiUYuLNzL4O3ODuK6KORfJfc1uSxet28fhLO1i0dhcvbGti+97WqMMSkcOkxJuIFJ1UytnU2MzaHfs7u9yv39XMup372bhrPw1NbVGHOOjiMaO6LE5FWZyq8hhVZXGqyuJMHV0TdWhRiJnZqcA7gfeGZfEI45FB1NyW5NmNjTy9fhdPr9/Nsxsb2bCrWbe2iAyQWDgGUOc4eunx68Ky9Phy8RgkYjFi6UdLrxvV5SV5CbIa+KWZdQA/B37v7nsjjknyREt7kkVrd/HYizt4/KUdPLNhN+1JNVxSHNLjviZiQbuRiAdtAqTHPw3GKU2Pdpc5fmvmWK/p8V9ziVnQ9sRiBGPUhQfmGiPVgMmjhm5iBVDiTUQK3ObGZp5Zv5uVW4Nu9y9uD7reNxfgLZUViRjDKhPUVCSoKU9QW5GgpiJOTUXwvLYiQW1l1/N0+bDKoLymPHheXZ6gPBGLujr55GPAl4E73f05M5sB/CPimGSAbG5sZsGaXSxcs5NFa3fx/Ja9JdmbJi1mhGPJBV9qYzHrNtB+PBxrLvjia5TFgudliRhl4bZEPGOf9JfkMKkCXYNMp78U95SeWaznOHVpmRMoQOYX7Mwv3NkznaWTPemY0hMWZM6ABukxhTIHgnZi1n2MvUTcKA/fp57PK8vilMdjVJTFKA/H4SuPx0hkHh++f12TOHQ9T19MpC8C0jGlB+1OpjznhBRmdE1IESasYmbZA2pnzs6WHkwbz3ieMYlFzr+RILbMCR9iGRcr8Zh1JtHiYXnnPpZ/g7QXCnf/EfAjMzsGuAx41sweBn7i7mqTSkxHMsWzGxv554s7eHRVAwvX7qKtxHpfpxMq6c+iRKzr8zgRDz4H05+p6c+k9GdXrs9doyvRkv5s6xxPNfwsT4RJn7Lw/MHkP0G7YuH50z8mWEYbk461sx3K+fnf9VmZiHW9djCeazDJUHqWzswJEtJtNHSPvVvdLN22pN+77P0731Prej86k1bWlYxKf96bWbe2wj0IKHPSivSYfz3bCqOr7pnfETLbiG7JMrUbSryJSOFo60ixeN0uFq/bxdPrdvPMht1s3ZM/3e4TMWN4VRnDq8uoqyxjeFUZdVVl1FUmqKsqY1hlghFV5cE+GUs62aZk2eBw9wcIxnZLr78E/L/oIpL+aGxu595lW3l0VQNPrt7Jxt3NQ/r6NeVxRtdWMHZYBfXDgsexdZWMqS1nRHU5dZXB/+n0oxnBjJk9Zg9t60h1zrbWlkyRSnlwAWDWmRRLJ2CCC5CML7hh4iczMZb+ct/bjJkiEj0ziwHTgWnALmAF8Bkz2+Hul0QZmwy+xv3tPPTCdu5fvpW/r9hOY3P7gJ17TG0FM+prmDGmhsmjqpk0sqrzsa6yjC2NLWza3czG3c1s2t3Czn2txGNhAipMQpWFM1CnE0jpNqc8HqOyLE5lWYyKRJyK9GMiRmVZjPJ4UNY5G2aY7UknYZTAF8njxJuZnQ98h+B2oJ+6+zU9tl8LvCZcrQbGuvuIoY1SRAZbW0eKR1c18JdnN3PP0i3saekYsteuKosztq6C+trgArt+WAWjasoZVRNcYI+sLmNkdTkjqssYUV1OTXlcXyTykJmNAT4OHAtUpsvd/dzIgpJD0tTawX3LtnLnkk08vLJhwMdfrCyLcURdJWPrKoP/67UVjKktZ0xtRbAMq2B0TbBeVa67lEXk0JnZN4A3EUz48y13/2fGtpWRBSaDaue+Nm59aiP3LNvCgjW7+tUjOx4zpo6uZlZ9LbPGBsuM+lpm1NdQV1l2wGOnjalh2piSHG5EJC/kZeLNzOLAD4BzgA3AAjO73d2Xpfdx949m7P8h4OQhD1REBs3KrXv58UMvce+ygU+2xQzGD69i4sgqJo2sYtKIqrDHSgX1w4KL69G1FUqkFY9fA7cA/wJcCVwKbIk0IjmoVMr5x6oGfr9gHfcv39bvCRAmjqhiRn0NM+trmVlfw5TRNYwfXsm4ukrqKhP6vy4ig20lcEov47qddqAD+9AhYQpwIzAi3Ocqd79rQKKWQ+buPP7STm56ch1/e27LYf9YdERdJafNGMVpM0ZzytSRTBtdo7sjRApUXibegHnAqvB2IMzsd8BFwLJe9n878MUhik1EBtmCNTt550+e6FevlmEVCWaEF9eTR1YxZVQ1k0dVM3lkNeNHVFIW1xeXElLv7j82syvd/X4zewB4IuqgJLfte1u5eeF6frdgHet3Ht5tpBNHVHHS5BHBMmUEx4yvo6YiX7/yiEiJeIu7/ySzwMzucfdz3X1nbwf1pUMC8DngZnf/YTiG3F0Et7PKEGpq7eCmJ9Zx05PreKlh3yEfP6a2nNNnjuH0maM5bcZopo6u1o9CIkUiX7+FTgTWZ6xvAObn2tHMphKMlfBAru0iUniuf/ilPifdyuLGnPF1nDBpOEeOG8as+lpmjq1l7LAKfVmRtPQgKlvM7DxgEzA6wngkh+Wb9/D9B1Zx99ItdBzCrTjxmHHshDrmTh3FvOkjOWXKSMbWVR78QBGRIWBm5QTDHIwzs2F0jTleB0zpwyn60iHBw/MBDCdo52SIdCRT3LRgPd+5byUNTW19Pq66PM7LZ4zmjFljOGPWGI4cV6vvriJFKl8Tb4fiYuCP7t7rFIZmdgVwBcCUKX1p30QkSk+t293rturyOGceVc/cqaM6e7JUlmnMJTmg/zGz4cAnCHoN1AGfjDYkSdvR1Mq37l3JTU+uo6/5tvphFbz++PGcNWcsp0wZqd5sIpLPriSYXXsssJSuxNse4Ed9OL4vHRK+BNwTDr9TA5zdj3ilj9yd+5Zv45q/LufF7X3r4TZxRBVnzRnLWXPGMX/6KH2HFSkR+fpNdSMwOWN9UliWy8UEDVqv3P164HqAuXPnHv6IliIy6LbvbaWhqftMpTGDN5wwgQuOH8+ZR9XrS4r0WXiLzjR3vx1YArzyEI/XRD+DpD2Z4pePreXb961kbx/GcRxVU87rjjuCN5wwgXnTR2n2ThEpCO5+LXCtmX3E3b89SC/zduAX7v5NM3s58CszO87du90+oM4IA2fZpj18+Y6lPLG617uEO42uKefNcyfxLydP5Khxw9SrTaQE5WvibQEw28ymEyTcLgbe0XMnMzsaGAk8NrThichgeX7LnqyyI8cN47tv1/wpcujcPWlmlwDfPdRjNdHP4PnnqgY+d9tzvHSQHgJm8KrZ9bxj/hTOOnosCY3NKCIFxsxe7e4PAS+Z2YU9t4c/DB1IXzokXA6cH57vMTOrBMYA23q8ljoj9FMq5dzw6Gq+/rfnaU8e+C08feZo3jF/CuccM46KhH40FilleZl4c/cOM/sgcDdBL4Mb3H2pmX0FWJjRQF0M/M7d1XCIFInnN2dP9nXM+Loce4r02SNm9m3g90BnpsfdlxzkOE30M8DcnZ89spr/uWv5AW8rrR9WwVvnTuLiU6cweVT10AUoIjLwzgEeAt6SY5sDB0u89aVDwjrgLOAXZjaHYEy57f0JWrI1NLXyiT88w99XHPitvfDECXzk7NnMqK8doshEJN/lZeINIJwC+64eZV/osf6loYxJRAbf8hw93o4ePyyCSKSInBo+viyjzIFXHeQ4TfQzgNo6Unzu1me5eeGGXvcZVpHgQ2fN4tLTp6l3gIgUBXf/XNiD+lZ3/9NhHN+XDgkfB35iZh8laN/erY4JA+uRFxr46M1Ps31va6/7zJs+is9eMIcTJ2vECRHpLm8TbyJSmpbn6PF29BHq8Sb9com7r80sCBNlA+mAE/2U+rg6O5pa+cCvF/Pkmtxj4ZjB2+ZO5uPnHkX9sIohjk5EZHCFwx58BjjkxFt4/AE7JIRDIJzRryAlp1TK+ea9K7ju7y/SWypzxpgarr5gDmfPGavx20QkJyXeRCRvtCdTrNqWnXibo1tNpX9uAU7pQ1lPAzbRTymPq7Niy14uv3EBG3Y159w+d+pIvnThsRw3cfgQRyYiMqTuMbOPkD3sQXZXf8kL7s4Xbn+OXz++rtd9LjtjOp9+3VHqpS0iB6TEm4jkjRe3N2UNVDumtlw9YOSwmNmRwBxgeI8BresIxr85GE30009LNzVy8Y8fZ29r7llL3336ND73+jmaNEFESsEl4ePHM8ocKL1u0AXA3fnKnct6TbqNqinn/95yAq89etwQRyYihUiJNxHJG7kmVlBvN+mHY4F/BUbQfVDrvcD7DnawJvrpn4amVt5748KcSbdEzPjKRcfxjvm63hSR0uDukw++l+QDd+frf1vBzx9dk3P76TNHc+3bTmJcXV9+wxMRUeJNRPLI8s05JlY4QhMryOFx91uAW8zsFe7+yGGeQxP9HIa2jhQf+PUiNjW2ZG0bUV3Gde88hdNnjokgMhGRaJhZVo9pAHf/7VDHIgf2nftf4EcPvZhz24deO4uPnH0k8ZjGchORvlPiTUTyxvIt6vEmg+J5M/sUMI2Mds/dr4gsoiLm7nzx9qUsWLMra9uMMTXc8O5TmTamJoLIREQi9cqM55XAa4FFgBJveeS6v6/i2/e9kHPbf541m4+ec+QQRyQixUCJNxHJG8/n7PGmxJv0223A48AjQM5ZR2Xg/Prxtdz0ZPaYOCOry7jxsnlMHlUdQVQiItFy9w9krpvZSJR0yyt/WrSB//3bipzb3v/qmXzk7NlDHJGIFAsl3kQkL+xoamXb3tZuZYmYMXOsesZIv9W4+8cPvpv01z9fbOBLdyzLKk/EjOve+TIl3UREuuwFZkQdhAS27mnhS3cszbntPWdM49PnH4WZbi8VkcOjxJuI5IXnc9xmOmtsraZnl4HwVzM7193viTqQYrZ+536u/M1ikqnsOSa+eOGxvHzm6AiiEhHJD2Z2C8EspgAxggmAbo0uIklzdz5/63PsbcmeDOid86fwhTcco6SbiPSLEm8ikhc0sYIMovcDnzaz/UAbYIC7+6howyoun731OXbtb88qf8f8KbzrtKkRRCQikle+n/G8A1jr7msiikUy/PW5LdyzbGtW+etPGM9/XXSckm4i0m9KvIlIXli+WRMryKDR9JmD7MEV23h45fas8nnTRvGlNx4bQUQiIvnF3e83s3rgVKAc2BdxSALs3t/GF27LvsV0dE05/33RccQ0e6mIDIBY1AGIiAA8vyVHjzcl3mQAuHsSOA/4aricE5bJAGhPpvjvO7PHdRs/vJLrLjmF8oS+aoiImNl7gMXAO4BLgIVmdmm0UclX/7KchqbWrPIvXXgsI2vKI4hIRIqReryJSOTakyle2NqUVT5nvG41lf4zs68CZ9A1e9ynzOwV7v65CMMqGr99Yh0vbs/uuPG51x/DmNqKCCISEclLVwGnuPt2gLD32yPAjZFGVcIeeaGBPyzakFV+9pyxvOGE8RFEJCLFSok3EYnc6oZ9tCVT3cpG15RTr4t2GRhvBE5O93IzsxsIeh0o8dZPjfvbufa+lVnlp04byQXHHxFBRCIieWsnsDtjfXdYJhHY39bB1bcsySofVpHgv96kcd1EZGDl7f0fZna+ma0ws1VmdlUv+7zVzJaZ2VIz+22ufUQk/+WcWGH8MH3pkYGUed+yulIOkO/c/wK7c0yo8HnNACci0tMK4DEz+5yZfRb4J/C8mX3YzD4ccWwl5zv3vcD6nc1Z5VddcDTjh1dFEJGIFLO87PFmZnHgB8A5wAZggZnd7u7LMvaZDVwNnOHuu8xsbDTRikh/5ZxY4QiN7yYD5n+BxWZ2P8GMpmcCn480oiLw4vYmfvnYmqzyfztlEidMGjHk8YiI5Ln14ZLuzv+38LE+mnBKV2NzOzc+tiarfN70Ubz91ClDHo+IFL+8TLwB84BV7v4SgJn9DrgIyBy9+b3AD9x9F4C7bxvyKEVkQGhiBRlM7v5rM3sQmB8WfcHdN0YZUzH42l3L6Uh5t7KqsjifOv+oiCISEclf7n7AH3zM7Nvu/pGhiqeU3bJ4Ay3t3Yc4KU/EuOZfj9cspiIyKPL1VtOJBL8IpW0IyzIdCRxpZo+a2eNmdn5vJzOzK8xsoZkt3L59+yCEKyL9ketWU02sIAPFzC4Emtz9z+7+Z2Cfmb0h6rgK2SMvNHDf8uzfuz5w5kzG1VVGEJGISMF7VdQBlAJ35zdPrMsqf8e8Kcyor40gIhEpBfmaeOuLBDCb4JahtwM/MbOc97a4+/XuPtfd59bXqze3SD7Zua+NrXu6T+OeiBmzxurLjwyYr7h7Y3rF3XcD/9WXAzXeaDZ355q/Lc8qHz+8kve+ckYEEYmIiPTNgjW7eGFbU1b5O+frFlMRGTz5eqvpRmByxvqksCzTBuAJd28HVpvZSoJE3IKhCVFEBsLzOXq7zayvpSIRjyAaKVK57hs5aPun8UZze+zFHTy3Mfv/7afPP5qqcv2/FRGR/PWbJ9Zmlc2bPorZ43SnhYgMnnzt8bYAmG1m082sHLgYuL3HPrcS9HbDzMYQ3Hr60lAGKSL9t3xL9sQKR+s2UxlYT5nZ/5rZ1HD5BvBUH47rHG/U3duA9HijmUpuvNEfP5zd1J4waTgXnjghgmhERIqGBhcbZDuaWvnrs1uyytXbTUQGW14m3r1TDHkAACAASURBVNy9A/ggcDewHLjZ3Zea2VfCsXoIt+0ws//P3n3HyVWW/R//XNvSe++EJBDSSMImhCpVotJBCUi1xALq8+gDP1BBRQXL84CioEQMWCgCUgJEUBFRaSkESKOEFFJJ79lsu35/nLOwuzObbTNzzsx836/XvDLnPufMuY6se+/c576vawnwHHC1u2+JJmIRaa7d+yt5etF6HluQmON+pCqaSmpdRdDfPU7w0MaBLzfhvJTlG82VXKNvbdjF828nxv+ljwxTQmoRkSYwszYN7PplRgPJQw/PX0N5Vd2iCt07lDB1TN+IIhKRfBHXpaa4+2xgdr22G2q9d+Dr4UtEssD6Hft4ZtEGnn1zIy8v30JFlSc9ToUVJJXcfTfwPw3tb2Uludr5RgcC/zKzsWEeudoxzABmAJSWlib/wc8CM5LMdhvSoz0fHa0vLSIiB2Jmk4HfAl2AwWZ2OPA5d/8KgLv/Nsr4cl11tXPfnMSiCp8sHaj0JiKSdmkfeDMzAz4NHOzuN5rZYKCvu89J97VFJHorN+/h6cUb+MuiDby+envjJwCH9dOMN8mohirJKd9oLRt2lDHr9cQZqp87diiFmu0mItKY24DTCWZe4+6vm9mJ0YaUP154dzOrtuxNaL9ospaZikj6ZWLG2x1ANXAScCOwC/gzMCkD1xaRCLy3ZS9PvLGOJ15fx5tJcrgdyAmH9qJP57ZpikykWT7IN0ow4DYNuKjeMY8RVNa+O9fzjd7z4sqEWard2hdz/hGDGjhDRERqKXD3VcGchA9URRVMvrn35cTZbseN6MmQHh0iiEZE8k0mBt6OdPeJZrYAIKz6VpKB64pIBm3cWcaTb6xn1uvreK2JM9tqKykq4PSx/fjmJw5LQ3QizefulWZWk2+0EJhZk28UmOfus8J9Hw3zjVaRo/lGd++vTFoJ7pIpQ1TJVESkaVaHy009rJr9FeDtiGPKC+/vLONvS99PaP/0kUMiiEZE8lEmBt4qws7FAcysF8EMOBHJcvsrq3h26UYenLeaf729iepmZq7q3akNJx/Wm5NG9uGY4T1oXxLbtJOS2xpcJ6l8o4EH5rzHrrLKOm0lRQVcevRB0QQkIpJ9vkSw3HQw8D7w97BN0uzBuaupqvdHap/Owd+gIiKZkIlvubcBjwK9zeyHwPnAtzNwXRFJkzc37OTBuWt4dMEatu2taNa5h/TpyNTRfTl1VF/GDOhMvSUXImljZm3cfX+SXaokdwAVVdXM/M+KhPbzJg6kZ8eGivOJiEht7r6RIGWBZFBVtXN/kqIKF0waTHFhQQQRiUg+SvvAm7vfa2bzgZMJZhWc7e5L031dEUmt/ZVVzF64nj+8tIpX32veUtKxA7owdUxfpo7py7BeHdMUoUhyqiTXOrMXrmfdjrI6bWbwueOGRhSRiEj2MbNbkjTvIEhd8FSm48kXi9buSOjDCgymTVJ+UhHJnLQOvIVLTBe7+0jgzXReS0TSY822vdz7ynv8ae5qtu4pb/J5h/bpxJnj+3PGuP4M7tE+jRGKNEqV5FrI3Znxr8RaEacc1keD6CIizdMJGAU8HG6fC7wLTDazk9z9G5FFlsNeeHdzQtuxI3rRv2u7CKIRkXyV1oE3d68ys7fMbLC7J87xFZFYcndeWbGVmf9Zwd+Xvt/k3G0DurbjnAkDOOPw/hzat1N6gxRpOlWSa6FXVmxl8bqdCe1fOP7gCKIREclqY4Dj3L0SwMx+CfwLOA54HdDAWxq89G5ivaPjR/SMIBIRyWeZyPHWDVhsZnOAPTWN7n5mBq4tIs1QXlnNE6+vY+YLK5J+2U6mpKiAqaP78qnSQRw9rAcFBcrZJrGjSnItdM8LKxPaxg/qyhFDumU+GBGR7NYdaA/U/IHVDugeVtBOln8UADObCvycoLr2Xe7+oyTHfAr4LkExu9fd/aIUx56V9ldWMXfl1oT2o4dp4E1EMisTA2/XZ+AaItIKu8oq+P1Lq7jnxZVs2tXg3351jOzbiYuOHMxZhw+gS/viNEco0iqqJNcCq7fu5a9LNiS0f/bYoSqKIiLSfLcAr5nZswR5r08AfmpmHYB/JjshfFh0O3AqsAaYa2az3H1JrWNGANcBx7j7NjNTqc7Qq6u2U1ZRXaete4cSRmpVhohkWCaKKzxvZn2ASWHTnLCqj4hEbGdZBfe8sJLf/mcFO/Y1Xp20uND4+Nh+XHrUECYO7qYv35IVVEmuZf748qqEZeZ9O7dl6pi+0QQkIpLF3P1OM3sKODJs+p67rw7ff72B0yYDy9x9OYCZPQCcBSypdczngdvdfVt4HX3PCr2UJL/bUVqdISIRSPvAWzj1+acET3IM+IWZXe3uDx/wRBFJmx37Krj7hRXM/M8KdpZVNnp8vy5tuXjKED5VOohendpkIEKR1FEluebbW17J/XMSU7NectQQigsLIohIRCQn7AJWAG2BQWY2yN1fPMDxA4DVtbbX8OHAXY1DAMzsBYLlqN9196dTF3L2eiFJfrdjtMxURCKQiaWm3wIm1Tx9MbNeBMt8NPAmkmF79ldy9wsrmPGv5U0acBs/qCufPXYoU8f01ZdtyWaqJNdMjy5Ym/A7oqSogGmTBkUUkYhIdjOzzxAUUBgALCRYDfQywZLT1igCRoSfMxD4l5mNdfftSWKYDkwHGDx4cCsvG2+791fy+uqE/wk4eliPCKIRkXyXiYG3gnpTnrcAjX6DbyyRqJldTjCTbm3Y9Et3vyslEYvkmLKKKu595T3ueG4ZW/aUH/DYwgJj6pi+fPbYoUwcrATqkhNUSa4Z3D1pUYWzx/enR0fNeBURaaH/BkqBl9z9ODMbDdzYyDlrgdpPPAby4XefGmuAV9y9AlhhZm8TDMTNrf9h7j4DmAFQWlraxJr12Wnuiq1U1suXMKBrO4b0aB9RRCKSzzIx8Pa0mT0D3B9uXwD85UAnNCWRaOhP7n5VqgMWyRWVVdU8NH8Ntz37Dut3lB3w2KIC4/wjBnLlicMZ1F1/lEhOaVEluXz1wrItvLNxd0L75UcPjSAaEZGcUebu+8wMMytx98Vmdmgj58wFRpjZUIIBt2lA/YqljwEXAnebWU+CpafLUx18tnlhWWJ+t6OH9VB+YhGJRCaKK1xtZucCx4ZNM9z90UZOa0oiURE5gH+/s4nvP7mEt99P/AJdW3Ghcf4Rg/jyCcM04Ca5qtmV5PLZ3S+sSGg7cmh3RvXvHEE0IiI5Y72ZdQWeAJ4xs60EEwwaFD4gugp4hmAV0MxwwO5Ggjyls8J9HzWzJUAVcLW7JyY3yzPJ8rsdPVzLTEUkGpkorjAUmO3uj4Tb7czsIHdfeYDTmpJIFOA8MzseeBv471qVgerHkDf5DERWbN7DD59awt+XHrioVVGB8cnSQVx54jAGdtOAm+SuFlaSy0srN+/hH28l/u644piDMh+MiEgOcfczw7fXm9nJQBeg0QI/7j4bmF2v7YZa752gL1N/Ftq6p5yl63cmtB+twgoiEpFMZEt/CKiutV0VtrXWE8BB7j4O+Bvwu4YOdPcZ7l7q7qW9evVKwaVF4mdXWQU3zV7KR299/oCDbmZwzoQBPPuNj3DzuWM16Cb5oqaS3HqCSnJHN+UkM5tqZm+Z2TIzuzbJ/svNbJOZvRa+PpfiuDPqdy+txOtl/RnQtR2nHNYnknhERHKBmRWa2eKabXd/1t0fcXelO0iDl5LMdhveuyN9OreNIBoRkczkeCty9w+yubt7uZmVNHJOo4lE602hvgv4SWsDFclW/3jzfb75yCI27DxwHrfTRvfh66ceyqF9O2UoMpHotbSSXL7lG929v5KH5iWuerr0qCEUqaqxiEiLuXuVmS03swHuXr84gqTYC+8mz+8mIhKVTAy8bTKzM8McBJjZWUDib8O6Gk0kamb93H19uHkmsDS1YYvE39Y95dz4xGIee23dAY+bOLgr158+igmqUir5qSWV5CDP8o3OXrie3fsr67S1Ky5k2iSlaBARSYGOwFIzewnYU9Po7udGF1JuSjbjTctMRSRKmRh4+yJwr5n9kiCp9Wrg0gOd0MREol81szOBSmArcHka70EkVtydJ99Yz3dnLWbLnvIGj+vXpS3XfmwkZx7eX1WcJJ+1pJIcpDDfaDbkGn301cRJGGdPGECX9sURRCMiknN+EHUA+WDd9n2s2LynTluBwVEHa8abiEQnE1VN3wWmmFnHcPvAJRY/PK+xRKLXAdelMFSRrLBp136+9ehC/rrk/QaPaVtcwBeOH8YXPnIw7UsyMb4uEmvNriTXDE8A97v7fjP7AkG+0ZPqH+TuM4AZAKWlpV5/f9TWbNvLS8sTZwh8snRgBNGIiOQed3/WzAYCI9z9OTNrSzDBQFLohWWJC6vGDOiih0giEqm0fSM3szOAN9x9Vdj0dYJZAauAr7n7inRdWyRXPfH6Om54fBHb9lY0eMxxI3py0zljGdRdRRNEoOWV5MijfKOPJ1muPrRnByYM6hpBNCIiuSfMN3oVQR80DBgM3AGcEmVcuSbZMtOjlN9NRCKWzqkwPwSmAJjZ6cDFwIXABODXwGlpvLZITtmyez83PL6Ypxaub/CYLu2Kuf70UZw3cYCWlYqEwgIJb7j7aAhmHDTj9LzIN+ruPPJq4gTAcyfod4mISAp9lSB36CsA7v62malkdAq5e9LCCscov5uIRCydA2/u7nvD9+cCv3X3+cB8M/tyGq8rklOeWbyBbz6y8IC53KaO7suNZ4+mdyeVSReprTWV5PIl3+gba3bw7qY9Ce1nTxgQQTQiIjmrzN3Lax5ohA+GJIXe3bSH93fur9NWXGhMOqh7RBGJiATSOfBmYV63vcDJBFOpa2h0QKQRZRVV/OCpJfzx5fcaPKZ7hxK+f9YYPjGuXwYjE8k6La4klw/5RpPNdps8tLuWq4uIpNYLZnYN0NbMTgSuBJ6MOKac8trq7QltEwZ3o12JxjhFJFrpHHj7GfAasBNY6u7zAMxsAtDwejkR4d1Nu7nqvgUsXb+zwWM+NqYv3z97DD07tslgZCJZSZXkGlBeWc0TbyR2yedN1Gw3EZEUu4aguvWbwNcIZlPfGWlEOSbZ380TB3eLIBIRkbrSNvDm7jPN7BmgN/B6rV0bgCvSdV2RbPfIq2v49mOL2FtelXR/1/bF3HjWGM4Y10/5l0SaQJXkGvb825vYWm8Ze5uiAj42VrNoRURS7BPAXe7+q6gDyVXJBt4O69cpgkhEROpK54w3wnw6a82sm5mNoO4S04bXz4nkoX3lVVz/+CIenp+47KvGKYf15qZzxyqXm0gzqJJcw5ItM/3o6L50blscQTQiIjntk8AvzOwfwJ+Av7l78qes0mzunnTgbVS/zhFEIyJSV1oH3gDM7HME06kHEiw9nQK8BJyU7muLZIvVW/fyhT/MZ0kDS0tLCgu4/vTDuHjKEM1yE2k+VZJLYsfeCp5dujGh/VwVVRARSTl3v8TM2hDMfLsCuNPM/uLuX4w4tJywYWcZ2/ZW1GkrKSpgaM8OEUUkIvKhtA+8EQy6TQJedvcTzWwkcFMGriuSFf79zia+cv8Cttf7Y6HG0J4d+MWFExgzoEuGIxPJGaokl8STC9dRXlVdp61nxxKOG9EzoohERHKbu+83s8eBfQQpDz4FaOAtBZLNdhvZtxNFhQURRCMiUlcmBt7K3L3MzDCzNu7+ppkdmoHrisSau3Pnv5bzk6ffpNqTH3P2+P784JyxdGyTif+riuQsVZJL4pFX1ya0nTV+gL6kiIikgZmdClxAkObgP8DvgYsiDSqHLF2/K6HtsL5aZioi8ZCJb/NrzKwr8BjwNzPbBqzKwHVFYmtveSVXP/QGTy1MXuC3TVEB3z9rDJ8sHailpSKtp0py9azcvIf5q7YltJ+raqYiIukynSC321fcfV/UweSaZOlaVFhBROIi7QNv7n5O+Pa7ZvYcQXLrv6T7uiJxtWnXfj5zz1wWrt2RdP+Aru2485IjtLRUJHVUSa6ef7+zKaFtZN9OSkItIpIm7v7JqGPIZckrmqpPE5F4SPt6EjP7Q817d3/e3WcBM9N9XZE4WrZxN+fc8UKDg27HDO/BE185VoNuIqn1SWCZmd1tZlOV4w3W7ShLaDvlsD6aYSsikiZmNsnMXjazHWZWZmb7zSx5VS1plr3llazYvCehfaQG3kQkJjKRyGV07Y3wC88RTTkx/IL0lpktM7NrD3DceWbmZlbaylhF0mbuyq2c96sXWbMt+eqC6ccfzO+umEz3DiUZjkwkt7n7JcAhwBMEleSWm9mvo40qWpt27U9o69e1bQSRiIjkjTuAy4DlQCfgKuC2SCPKEW9t2IXXy5c8sFs7urQrjiYgEZF60jbwZmbXmdkuYJyZ7TSzXeH2RuDxJpxfCNwOfAwYBVxoZqOSHNeJIGfPKym9AZEUeuqN9Xz6rlfYsS+xcmmbogJuu3AC3/z4YUpqLpIm7r6foO+5B5hLUEkubyUbeOvVsU0EkYiI5I0Cd38LKHL3Cnf/DUEqBGmlpIUVNNtNRGIkbd/y3f1md+8E/NTdO7t7p/DVw92va8JHTAaWuftydy8HHgDOSnLc94EfA4nrZkRiYOZ/VnDlfa9SXlmdsK9b+2Lu+/wUzjy8fwSRieQHMzvVzO4C3gU+TVBJrm+0UUUr6cBbJw28iYik0R4zKwFeN7ObzOwrQN6nPkgF5XcTkbjLxPSab5nZxWZ2PYCZDTKzyU04bwCwutb2mrDtA2Y2ERjk7k+lLFqRFHF3/u+vb3Hjk0uS7h/Soz2PfPkYjhjSLcORieSd6cDTwGHufrG7zwof6DQqV1MebNqtgTcRkQy7nOC711VAFTACOD/KgHJFsoG3UapoKiIxkvaqpgTLRauBkwhmp+0O2ya15kPNrAC4haATa+zY6QRfvBg8eHBrLivSJFXVzndmLeKPL7+XdP/hg7ry28tK6amlXSJp19JKcrVSHpxK8PBnrpnNcvcl9Y7LqpQHVdXOliQDb/p9JCKSPu6+PHxbBlwfZSy5pLraGxh4U6EyEYmPTMx4O9LdryRcCuru24CmZI9fCwyqtT0wbKvRCRgD/NPMVgJTgFnJZhu4+wx3L3X30l69erXsLkSaqLyymq89sKDBQbdTR/Xhgc9P0ZdckQxpRSW5nEx5sGXPfqrrJaHu0q6YtsVa8SQikklm9u2oY8h2q7ftZU95VZ22jm2KGNitXUQRiYgkysTAW0U4a8ABzKwXwQy4xswFRpjZ0DAfwjRgVs1Od9/h7j3d/SB3Pwh4GTjT3eel/A5EmmhveSWf//08nnxjfdL9F04exK8vPoJ2JfqCK5JBLa0kl5MpD5TfTUQkNhZFHUC2SzbbbWTfThQUWATRiIgkl4mBt9uAR4HeZvZD4D/ATY2d5O6VBF+OngGWAg+6+2Izu9HMzkxnwCItsXt/JZfNnMPzb29Kuv9LJwzjpnPGUqg/BEQyLS2V5GqlPPhGE46dbmbzzGzepk3Jf0dkiiqaiohknplNSdK8IeOB5JglqmgqIlkg7Tne3P1eM5sPnAwYcLa7L23iubOB2fXabmjg2BNaGapIi+0qq+Dyu+cyf9W2pPu/+fGRTD9+WIajEpFQnUpywHqaVkmuOSkPIKiUOsvMEmZfu/sMYAZAaWlpvYWemaUZbyIikbgDmFiv7XbgiAhiyRmqaCoi2SATxRUA3gF21lzPzAa7e/IEWCJZZldZBZfNnMOr721P2Fdg8KNzx/GpSYOSnCkiGXI5H1aS+wZNryT3QcoDggG3acBFNTvdfQfQs2bbzP4J/E/cUx6ooqmISOaY2WTgKKCXmX211q7OQHE0UeWOJeuSFFbor4E3EYmXtA+8mdlXgO8A7xOUzjaCfG/j0n1tkXQ70KBbSWEBt104nqlj+kUQmYjUaGklOXevNLOalAeFwMyalAfAPHefdeBPiCfNeBMRyagOBA9pioDaVd52AS2qui2BHfsqWLt9X522AoND+3SKKCIRkeQyMePta8Ch7r4lA9cSyZid4aDbggYG3e685AhOHNk7gshEpDFm9m13/0Fjx+ViygPleBMRyRx3fw54zszuq59ux8y6RxRWTngzyTLTg3p2UBEzEYmdTBRXWA3syMB1RDJm14EG3YoKuPNSDbqJxFzeVpLTjDcRkUjcb2aTajbM7CzgpaacaGZTzewtM1tmZtce4LjzzMzNrDQF8cae8ruJSLZI24w3M/t6+HY5QeLpp4AP/tp391vSdW2RdNqzv5Ir7p7b4KDbjEuO4IRDNegmEhdmNsXdX67XnLeV5JTjTUQkEpcDM83sGaA/MAA4tbGTzKyQoAjDqcAaYK6ZzXL3JfWO60Sw0uiVFMcdW0uSDLyN0sCbiMRQOme8dQpf7wF/A0pqtWnhvWSlveWVfOaeucxLUr20pKiA31xaqkE3kfi5I0nb7RmPIiY0401EJPPc/TWCvNdfAT4KfL6JxeYmA8vcfbm7lwMPAGclOe77wI8J8pnmhaXrdyW0aeBNROIonTne2rj7N9P4+SIZVVZRxed/P49XVmxN2Fcz6PaRQ3olOVNEoqBKconKKqrYVVZZp62wwOjeviSiiERE8oOZ3QmMAsYDhwJ/MbNb3f3ORk4dQJC6p8Ya4Mh6nz0RGOTuT5nZ1QeIYTowHWDw4MHNv4kYqayq5q33EwfetNRUROIonTPepqbxs0Uyqqyiiul/mM8LyxJrhJQUBstLNegmEjv1K8nVvMrJ00pyyWa79exYQkGBRRCNiEheeQc43t2XuftTBA+Gjm7th5pZAXAL8I3GjnX3Ge5e6u6lvXpl99+tKzbvobyyuk5bt/bF9OmsGdwiEj/pnPFWaGbdgKR/zbt74rQhkRgqr6zmyntf5V9vb0rYV1xo/OriiVpeKhJDqiSXaKOWmYqIRMLd/9fMSsxscDj4tg24rAmnrgUG1doeGLbV6ASMIcipDdAXmGVmZ7r7vBSFHzvJ8rsd1q8z4f8GIiKxks4ZbyOB+Q28crYTkNxSXe1c8/DrPPvmxoR9RQXGLy+ayMmH9YkgMhFphhZXkss1SfO7ddTAm4hIupnZJ4CFBLmvMbPxZvZoE06dC4wws6FmVgJMA2bV7HT3He7e090PcveDgJeBnB50A3hby0xFJIukc8bbEnefkMbPF0m7m/+ylMdeW5fQXmDw82kTOG103wiiEpFmupwWVJLLRapoKiISmRsJcrM9B0GxBTMb3thJ7l5pZlcBzwCFwEx3X2xmNwLz3H3WgT8hN73z/u6EtkP7qH6fiMRTOgfeRLLajH+9y2/+vSKh3QxuvWA8nxjXL4KoRKS5wi833wHuB3YBRzexklzOUUVTEZHIVLj79npLIb0pJ7r7bGB2vbYbGjj2hJYGmE2WbUwceBvep2MEkYiINC6dS01/DmBmY9N4DZG0eOTVNdw0+82k+24+ZyxnjR+Q4YhEpKXCSnLXEFSS+xxBJbkvRBtVNLTUVEQkMkvN7FNAQbhs9FaCZaHSTPsrq1i1dW9C+/DeGngTkXhK28Cbu98Tvr3DzOaY2ZfNrEu6rieSKv98ayPXPPxG0n3fOPUQpk3O7vLrInkoLZXkslHyGW9tI4hERCTvXAUcAVQDjwD7ga9FGlGWWrl5L1XVdScL9unchs5tiyOKSETkwNI54w0Adz8O+DRBNZ75ZnafmTUpt46ZTTWzt8xsmZldm2T/F81soZm9Zmb/MbNRKQ5f8szrq7fzpT++SmV14sz/S48awlUnNZqKQ0Rixt3/FyiuyaXj7tvcvSmV5HKOcryJiETmNHf/f+4+IXxdC3ws6qCyUdJlpprtJiIxlvaBNwB3fwf4NvD/gI8At5nZm2Z2bkPnmFkhcDtBhzQKuDDJwNp97j7W3ccDPwFuScsNSF5YuXkPV9wzl30VVQn7PjG2H985Y7RKlItkoVZUkss5m5XjTUQkKt9O0vatjEeRA97ZmFjRdERvFVYQkfhKe3EFMxsHXAF8guBLzxnu/qqZ9QdeIphqncxkYJm7Lw8/5wHgLGBJzQHuvrPW8R1oYoJSkfo2797PZXfPYeue8oR9Rx3cg1suOJzCAg26iWSpFlWSg2DmNUHO0kLgLnf/Ub39XwSuBKqA3cB0d1+S8EEx4O4qriAikmFmdhowFRhgZrUnCXQmWHYqzZRsxtswzXgTkRjLRFXTXwB3Ad909301je6+zsySPfmpMQBYXWt7DcEXpzrM7Erg60AJcFKyDzKz6cB0gMGDlZ9L6tqzv5LP3DOXVVsSk7Qe1q8zd156BG2KCiOITERSpEWV5GrNvD6VoA+aa2az6g2s3efuvw6PP5Ng5vXUlEWeQjv3VVJeVfc7XrviQjqU6PebiEgabQQWAWXA4lrtu4CEVDrSuGQDbyM08CYiMZaJgbdH3f0PtRvM7Gvu/vP67S3h7rcDt5vZRQRTuBPy9rj7DGAGQGlpqWbFyQcqqqq58r5XeWPNjoR9A7q243dXTFKiVpHsV6eSHPBVmlZJLqdmXm/aXZbQ1rtzGy2hFxFJI3dfACwws3vdPfEXsTRLZVU1yzfvSWhXjjcRibNM5Hi7NEnb5U04by1BQYYaA8O2hjwAnN30sCTfuTvfenQh/3xrU8K+ru2L+d1nJtO7s6r9ieSAllaSSzbzekD9g8zsSjN7lyDX6FeTfZCZTTezeWY2b9OmxN85mbAx2TLTjlpmKiKSbmZWBHzRzP5e63V9OLNammH1tn2UV9advd2tfTE9OpREFJGISOPSNvBmZhea2RPAUDObVev1HLC1CR8xFxhhZkPNrASYBsyqd40RtTY/AbyTqvgl9/3s7+/w4Lw1Ce1tigq469JSPTkTyR1prSTn7re7+zCCAkJJUyi4+wx3L3X30l69eqXq0s2i/G4iIplnZm2A2cAeYKq7n+LupxBMKLjezEaHx0gTvPN+8sIKmr0tInGWzqWmLwLrgZ7A/9Vqd3OXnwAAIABJREFU3wW80djJ7l5pZlcBzxAktZ7p7ovN7EZgnrvPAq4ys1OACmAbSZaZiiTz4NzV/PzZxHHaAoPbLpxA6UHdI4hKRNLk2yQW8vlWkrb6WjLz+lfNji5DNPAmIhKJq4FH3P03ZnaXmdUknDagDfAqcB5BISBpxLJNKqwgItknbQNv7r4KWAUc1YrPmE3whKh22w213jdlqZBIHf98ayPXPbow6b7vnTma00b3zXBEIpIOKagk98HMa4IBt2nARfWuMcLda0bxYz3zOunAm5aaioik2xnAMeH7TQSTCv5C0D8dEb6/Hg28Ncmy91VYQUSyTzqXmv4n/HeXme2s9dplZjsbO18kHRat3cGV975KVXVi/vMvnTCMS446KPNBiUi61K8kV/P6K01YaurulQT54Z4BlgIP1sy8DiuYQjDzerGZvUZQYTu2M681401EJBLtwv4E4FR3f8jdd7v7w+F2BZkpeJcTks14U3oYEYm7dM54Ozb8t1O6riHSHGu27eWKe+ayp7wqYd/Z4/tzzWmHRhCViKRLKirJ5dLM6027NfAmIhKBN82s1N3nAU+GFbL/CpwKzDazQwhWCUkjqqudZRuTzHjro4E3EYm3tD9dMbNhwBp3329mJwDjgN+7+/Z0X1ukxo69FVx+99ykMz6OHtaDn5x/uJKyiuSgWpXkTq/V/Dxwk7snjsLnMM14ExGJxI+BW83so+7+XTObCIwEfgosAZ4AbjjQB0hg/c4y9tZ7gN6xTRF9O7eNKCIRkaZJ21LTWv4MVJnZcGAGQaLq+zJwXREA3J2vPrAg6ROyQ/t04teXHEFJUSb+ryAimaRKcnVp4E1EJPPcfT7wM+B5M7uMoE+aA4wC/klQQO6l6CLMHskqmg7r3VEPz0Uk9jKRT6A6rFB6DvALd/+FmS3IwHVFAHh0wVqef3tTQnvfzm25+4pJdG5bHEFUIpIBqiQXqqiqZuve8oT2Hh008CYikm7u/oiZPUdQpOe/w+ZFwBnunvhHqiSV7CH68F5aZioi8ZeJgbcKM7uQIOH0GWGbRjokI7buKef7Ty5JaO/Ypoi7r5hE/67tIohKRDJEleRCW/eU4/VqynRrX6zZviIiGeLu24BfRR1HNlN+NxHJVpkYeLsC+CLwQ3dfYWZDgT9k4Loi/ODJJWzbW5HQfusF4zmsX+cIIhKRDKpfSe668P3DZnatu18X5oDLecmWmfbupJw4IiLpFq708Yb2u/vEDIaT1d7RjDcRyVJp/cJhZoXAt9z90zVt7r6CIMmoSFr9+51NPLJgbUL76eP6ceqoPhFEJCIZpkpyIeV3ExGJzPlRB5AL3FXRVESyV1oH3ty9ysyGmFmJuycmlxFJk33lVXzr0UUJ7Z3bFvGdM0ZHEJGIRECV5EIaeBMRiYa7v1vz3swGAiPc/bmwuE9ezLpOhU2797NjX91VLG2KChjYrX1EEYmINF0mftkvB14ws1kEVXwAcPdbMnBtyVM/+/vbvLd1b0L7tz5xmL5siuQJd59vZjWV5O4AXiaoJDcFuAP4eb5Uktu4qyyhTb8LRUQyx8w+A1wFdAGGAUMI+qJToowrWySb7XZwr44UFqiiqYjEXyYG3t4NXwVApwxcT/LcorU7uOs/KxLapxzcnU+VDoogIhGJiirJBZLOeOuogTcRkQz6KjAZeAXA3d82M+U+aaKky0x7a5mpiGSHtA+8ufv30n0NkRqVVdVc98hCqqrr5rAtKSrgpnPGYqanYiL5RpXkgiU69WnGm4hIRpW5e3nN36JhLmxpomQDb8M18CYiWSLtA29m1gu4BhgNfFBCzd1PSve1Jf/c8+JKFq7dkdD+1ZOGc7CqHonkFVWS+5ByvImIRO4FM7sGaGtmJwJXAk9GHFPWeOd9zXgTkeyViaWm9wJ/Ak4HvghcBjS6vMfMpgI/BwqBu9z9R/X2fx34HFAZft5n3D0vqtNJcqu37uX//vp2QvshfToy/fhhEUQkIhFTJbmQBt5ERCJ3DTAdeBP4GvAMcGekEWWRZZs0401EsldBBq7Rw91/C1S4+/Pu/hnggLPdwqnXtwMfA0YBF5rZqHqHLQBK3X0c8DDwk9SHLtnC3bn+8UXsq6iq024GN587jpKiTPyoi0icuPu7NS9gPzA4fL8G2NCUzzCzqWb2lpktM7Nrk+z/upktMbM3zOxZMxuS2rtIDeV4ExGJlrtXufuv3P0cdz87fF8ddVzZYPve8oR+rKjAGNKjQ0QRiYg0TyZGI2rqPq83s0+Y2QSgeyPnTAaWuftydy8HHgDOqn2Auz/n7jVlK18GBqYyaMkuT7yxnn++lTiR8pIpQzhiSLcIIhKRuAgryc0C7gqbhgCPN+G8nHgItGd/JXvK6z6UKC40urQrjigiEZH8Y2ZTzOwv4cOat2teUceVDZLldxvSo70erItI1sjEUtMfmFkX4BvAL4DOfFhZriEDgNW1ttcARx7g+M8Cf2lop5lNJ5jazeDBg5sQsmST7XvLufGJxQntfTu35erTDo0gIhGJmZZWkvvgIRCAmdU8BFpSc4C7P1fr+JeBi1MVdKpsTlJYoWfHNhQUqNiMiEgG3U2w3HQ+UNXIsVJL8oqmnSKIRESkZTJR1bQmaegO4MRUf76ZXQyUAh85QAwzgBkApaWlDSbalux08+w32by7PKH9e2eNplNbzegQkRZXkkvpQ6CoJFtm2lv53UREMm2nuz8RdRDZ6J1kA299lN9NRLJH2ufnmtnBZvaEmW02s41m9riZHdzIaWuBQbW2B4Zt9T/7FOBbwJnunvjNQnLeS+9u4U/zVie0Tx3dl9NG940gIhGJofqV5P5EiivJ1XoI9NMG9k83s3lmNm/TpkbrC6WUCiuIiMTCP8zsZjObZGbjal5RB5UNlqzbmdCmwgoikk0ysTD+PuBBoC/QH3gIuL+Rc+YCI8xsqJmVANMI8vN8IMwVdyfBoNvGlEctsVdWUcU3H12Y0N6pTRHfPXN0BBGJSExdA+ziw0pyzxI8tGlMyh4CufsMdy9199JevXo1M/zW2ZRkqakG3kREMu7Y8HULQf7Q24FfNnZSrhT5aSl3Z9G6HQnto/t3jiAaEZGWyUSOt/bu/oda2380s6sPdIK7V5rZVQRltguBme6+2MxuBOa5+yyCWQUdgYfC5UPvufuZ6bkFiaNb//42KzbvSWi/5mMj6dulbQQRiUgcuXsV8Kvw1RwfPAQiGHCbBlxU+4BaD4GmxvUhkCqaiohEK0xx8DN3/3MLzrsdOJUg3cFcM5vl7ktqHVZT5GevmX2JoMjPBSkKPXKrt+5jV1llnbb2JYUM7akZbyKSPTIx8PaX8OnMA4ATdASzzaw7gLtvTXaSu88GZtdru6HW+1PSFrHE3murt/Obfy1PaD9iSDc+PVkFNETkQ2Y2BfgOQTXTD/o9dz/kQOflykOgDTvKEtp6asabiEjGuHuVmX0TaNbAGzlS5Kc1ks12G9WvM4UqECQiWSQTA2+fCv+dHv5b81tyGsFAXGP53kTq2F9ZxdUPvU51vTIZJYUF3HzuWFXqE5H6WlxJLhceAq3etjehbUDXdhFEIiKS1/5qZv9FkGf0gyUb7p6YwOxDKS3yY2bTCb+TDR6cHQ+qF61NHHgbM6BLBJGIiLRc2gbezGwSsNrdh4bblwHnASuB7zY0002kMb94dlnS6kZfPXk4h/RRaXERSZDXleRWb92X0Daoe/sIIhERyWs1M9G+QTD5wMJ/UzICVqvIz0caOsbdZwAzAEpLS72h4+JkUZLCCsrvJiLZJp0z3u4ETgEws+OBm4GvAOMJfuGfn8ZrS45atHYHv3r+3YT20f0784WPDIsgIhHJAv8ws5uBR4APEp65+xvRhZQZFVXVrN+ROPA2sJtmvImIZJK7D2r8qATNLfLzkYaK/GQjd2exZryJSA5I58BbYa1ZbRcAM8KEon82s9fSeF3JUeWV1fzPQ69TVW+NaVGB8dPzD6e4MBNFekUkCx1b718IZhkcH0EsGbVu+76EZfk9O7ahfUkmMk2IiEgNM2tHUFl7iLt/ycyGAyPcvcGloeRIkZ+WWr+jjC17yuu0lRQVMLy3CiuISHZJ68CbmRW5eyVwMh/meEv3dSVH3fHPZby5YVdC+5UnDmeUppyLSBItrSSXK97bmpjfbVB3zXYTEYnATGAhcFy4vQ54iAPkZMuVIj8tlSy/22F9O+lhu4hknXQOgN0PPG9mm4F9wL8Bwqc7ib9FRQ5g8bod/PIfyxLaR/btxJUnDo8gIhHJBq2oJJcTkuV3G6z8biIiURjh7hea2ScB3H2vhSNlB5ILRX5aKml+Ny0zFZEslLaBN3f/oZk9C/QD/uruNYtdCghyvYk0yd7ySr56/wIq662XKgyXmJYU6amXiBxQSyrJ5YSkM966aeBNRCQC5WbWliDVAeHy0fIDn5LfkuZ366+BNxHJPmld8unuLydpezud15Tc8/0nl/Dupj0J7V84/mDGDlTnKyKNSmsluThbvS1x4E0z3kREInEj8DQw0Mx+R1B99LPRhhRvi9YlDryN1Yw3EclCyrUmsTZ74Xrun7M6oX1k30589eQREUQkItmmhZXkcsKaJDPeBirHm4hIxrn702Y2Hzia4AHQ1WjGW4M27irj/Z11C7QWFRiH9FVhBRHJPlqjJ7G1dvs+rv3zGwntbYoK+MWFE2hbXBhBVCKSbcysnZlda2a/CreHm9nHoo4rE5ItNdWMNxGRzDGzX9e8d/dN7v64uz9GMAHiX9FFFm+Lk+R3O6RPJ9oU6e9/Eck+GniTWKqsqua/HljAzrLKhH3Xnz6KEX06RRCViGSpmQT9Xe1KcjdFF05m7CqrYNveijptRQVGvy6a8SYikkEdzeye2oUUzOwQgsJzt0UXVrwlze82oHMEkYiItJ4G3iSWfvncMuau3JbQ/tFRffj0kTmflklEUmuEu98EVEBQSY5gmU9OS1bRdEC3dhQW5Pyti4jEySVANXCfmRWY2ZHAs8DX3f2uaEOLr4VJB96U301EspMG3iR2Xl6+hduefSehvW/ntvz4vHE0ofK6iEhteVlJLllhBVU0FRHJLA98BthKMOD2EDDN3R+PNrJ4W7Q2canpaFU0FZEsFduBNzObamZvmdkyM7s2yf7jzexVM6s0s/OjiFFSb/XWvXzpj/Op9rrtZvCzaePp1qEkmsBEJJvVryT3HHBdtCGl3+ok+d0GKb+biEhGmdmtZnYLwQOfccBS4DwzuyVsl3q27Sln7fa6s7YLDA7rp1QzIpKdYlnV1MwKgduBU4E1wFwzm+XuS2od9h5wOfA/mY9Q0mFXWQWf/d3chJxEAFedOJwpB/eIICoRyXatqSRnZlOBnwOFwF3u/qN6+48HfkbwZWqauz+cythbI/nAm/K7iYhk2KJa76+JLIoskqywwrBeHWlfEsuvriIijYrrb6/JwDJ3Xw5gZg8AZwEfDLy5+8pwX3UUAUpqVVU7//XAa7z9/u6EfaVDuvG1k0dEEJWIZDMz+7W7fxGCSnLA42F7f+DvBINlBzo/qx8CqaKpiEj03P23UceQbRatS8zvNlb53UQki8V1qekAYHWt7TVhm+SonzzzJs++uTGhfUDXdvzq4iMoKozrj6qIxFhrK8l98BDI3cuBmodAH3D3le7+BkHi7FhZvS2xuIJyvImIRMPMnjazrrW2u5nZU1HGFFeLkhRWGK2BNxHJYnkxmmFm081snpnN27RpU9ThSD1/nr+GO59fntDevqSQ31xaSq9ObSKISkRyQGsryaXsIVCm+yF3T7rUVDPeREQi08fdt9dsuPs2oH+E8cRWsqWmY/p3jiASEZHUiOvA21pgUK3tgWFbi7j7DHcvdffSXr16tTo4SZ05K7Zy3SMLk+679YLxjFInKyItFKdKcpnuhzbt2s/+yrqT8Dq2KaJr++K0X1tERJKqNrOBNRtmNjjKYOJqZ1kFKzbvSWjXdwIRyWZxzfE2FxhhZkMJBtymARdFG5Kk2vxV27ji7jmUVyWu0Lr6tEM5bXTfCKISkVxhZrcCzoeV5OYRVJI7D8Ddv97IR6T0IVAmJcvvNqh7e2qtuhURkcy6AXjBzP5BUOjnBOBLkUYUQ0uSzHYb2rMDndrqwZGIZK9YDry5e6WZXQU8Q1BJbqa7LzazG4F57j7LzCYBjwLdgDPM7HvuPjrCsKUZFry3jctmzmFPeVXCvrPG9+fLJwyLICoRyTGtrSSXtQ+BVm9LMvDWTRVNRUSi4u5Pmdlk4Kiw6Rp3T0xwnOeS5nfTbDcRyXKxHHgDcPfZwOx6bTfUej+XYPaBZJk31mzn0plz2L2/MmHf4YO68uPzxmlWhoi0WmsryWXzQ6D3tiQprKD8biIiGWdmI9z9HTOrqaRdk9i4r5n1DQv0SCjZwNsYFVYQkSwX24E3yU2L1u7g4rteYVdZ4qDbyL6duPvySbQtLowgMhHJVWb2NEFut+3hdjfgj+7+icbOzdaHQMlmvKmwgohIJK4FPgvcnmSfA8dnNpz4Kquo4h9vJk4CHNNfA28ikt008CYZ8/rqYKbbziSDbof06ci9nzuS7h1KIohMRHJcQiU5M8vpSnLJc7xpqamISKa5+2fDf4+LOpa4m71wfcL3hLbFBYwf3DWiiEREUkMDb5IRf56/huseXUh5ZWIhheG9O3Lv56bQo2ObCCITkTxQbWYD3X0N5EcluTVJBt40401EJDpm1gb4AnAswUy3fwO/cff9kQYWIw/MWZ3Qdvq4/nRso6+sIpLd9FtM0qqiqpofPrWUe15cmXT/wb06cN/nj6RXJw26iUja5FUlufLKatbvLEtoH9hNA28iIhH6HbAf+E24fRHBINy0yCKKkWUbdzNn5daE9gsnD0pytIhIdtHAm6TNpl37ufK+V5mzIrEThaA0+P2fn0LvTm0zHJmI5JN8qyS3dvs+3Ou29e7URvkzRUSiNc7dR9Xa/puZLYksmph5YM57CW0jendk4uBuEUQjIpJaBVEHILnppXe3cOYv/9PgoNvo/p25//NT6NNZg24ikh5mNiL8dxzQh6CS3HKCSnLjDnRuNludNL+bZruJiETs9bASNgBmdgSwIMJ4YmN/ZRV/fnVNQvu0yYMxswgiEhFJLc14k5TauLOMm2Yv5bHX1jV4zDkTBnDzuWM1+0JE0i0vK8klK6yg/G4iIpEbC7xiZsvD7aHAUjNbALi7T4wutGj9dfH7bNtbUaetpKiAcycMiCgiEZHU0sCbpERlVTW/f2kVt/7tbXbtT6xaClBYYHzr44dxxTEH6emViKRdvlaSW70tyYy3bqpoKiISsbOiDiCuHpibuMz0Y2P60q1DSQTRiIikngbepFWqqp1/vLmRW/72NkvX72zwuO4dSrj9ookcNaxHBqMTEcm/SnJaaioiEj/u/q6ZjQZqHgb9290XRxlTHKzasocXlm1JaJ82KecLkItIHtHAm7TI7v2VPDRvNfe8uJJVWxK/5NU2cXBXfnHRRAZ01YwLEYlEXlWSW711X0KbBt5ERKJlZlcBXwYeC5seNLPb3f2OCMOK3ANzVye0De3ZgSkHd48gGhGR9NDAmzSZu7Nk/U4eeXUtD85d3eCS0hrd2hdz7cdG8skjBlFQoKWlIhKZvKokpxxvIiKxNB2Y7O67AczsJuBFIG8H3iqqqnloXpKiCpMGKS2NiOQUDbzJAVVVO6++t41nFm3g6cUbWLMtcSZFfWbB9PBrTjtUuRlEJA5eN7NJ7j4XcruS3I59FezYVzdBdXGhqYK0iEj0DCivtV0RtuWtZ5e+z+bddbM+FBca5x0xMKKIRETSQwNvUkdZRRWL1+1kwXvbWPDedl5ZsTWhQzyQsQO68P2zxzB+UNc0Riki0ix5U0kuWX63gd3aU6hZxyIikTCzInevBP5A0Bf9Odx1DkEqhLxTVe3c8+JK/veZtxL2nTqqDz07tokgKhGR9NHAWx6qrna27S1n1da9vLdlL6u27GXV1j28u3E3S9bvpKLKm/2ZHzmkF585dijHj+ipqeEiEjd5U0luTZKKpgNV0VREJEpzgInu/hMz+ydBjlGAL9bMxM4nb27Yyf/780JeX7096X4VVRCRXBTrgTczmwr8HCgE7nL3H9Xb3wb4PXAEsAW4wN1XpjKGF5dtZumGXan8yANyTxz0cgfHcYfq2u+rnSp3qsP31e5UVjv7K6rYX1nN/spqyiqq2Fte9cHyo+17y9mxr4Lq5o+tJWhbXMB5EwdyxTEHMbx3p9Z/oIhIGrSmklwc+qF95VXcN+e9Jh07d8XWhDbldxMRidQHT6TdfQ7BQFzzPiAGfVFLvhNVVztlH3wvqWLrngoef20tlQ18ETm4ZweOHd4zFeGKiMRKbAfezKwQuB04FVgDzDWzWe5eOyH2Z4Ft7j7czKYBPwYuSGUcf1m0gT+8vCqVH5nVCgwmD+3O1NF9OWv8AOVwE5HYa2klubj0Q3vLK/n+ky2vBaGKpiIikeplZl9vaKe733Kgk+PSF6X7O1G/Lm257cIJKsgmIjkptgNvwGRgmbsvBzCzBwiWC9XuZM4Cvhu+fxj4pZmZJ5s2Ji1WUlTAccN7ctqYvpxyWB+6a7BNRLJLSyvJ5UQ/pBlvIiKRKgQ60vJCCjnRFx3IJVOGcM3UQ+nUtjjqUERE0iLOA28DgNW1ttcARzZ0jLtXmtkOoAewufZBZjad4IsXgwcrb0Bjendqw8TB3ZgwuCsTBndj7IAutCspjDosEZGWamkluZzohw7tq1QAIiIRWu/uN7bi/Jzoi5IZ1qsDPzpvHJMO6h51KCIiaRXngbeUcfcZwAyA0tLSrHjyk24dSgrp37UdQ3q0Z3D3DsG/PdpzSJ9O9O/SVgUSRCTrxamSXFT90CmH9WFYr46ZupyIiCSKzR/VcflOVFRgfOmEYVx54nDaFuvhvojkvjgPvK0FBtXaHhi2JTtmjZkVAV0IEoqmzFHDelBUmNn+0mr1zzXjXwYUFAR7zAyzIN9aoRlmRmGBBdsFBbQtLqBNUWGdf7u2L6ZLu2K6tCuhS7tiSooKMnpPIiIRaG0luVj0Q22LC7nimIOadU6BGSP7duLsCQNSGYqIiDTfya08PxZ9UUu+ExWY0aaogLbFhbQpKqBNUQFd25dw7Iie9OzYJpXhiYjEWpwH3uYCI8xsKEFnMg24qN4xs4DLgJeA84F/pDqXwcfH9uPjY/ul8iNFRCQzWltJLhb9UIc2RXznjNGp/EgREckQd08sN908seiL9J1IRKTlYjvwFuYnuAp4hiAp6Ux3X2xmNwLz3H0W8FvgD2a2DNhK0BGJiIhAKyvJqR8SEZGoqS8SEcl+sR14A3D32cDsem031HpfBnwy03GJiEhWaG0lOfVDIiISOfVFIiLZLdYDbyIiIq3Q2kpyIiIiIiIiraIM+yIikqtiU0lORERERETyk6U472bsmdkmYFUTDu0JbE5zOJmSS/cCup84y6V7gdy6n9bcy2YAd5+aunDSz8y6pyCpdcrlaT8EuXU/uXQvoPuJs1y6F2jd/Qxx916pDCaf5WlflEv3ArqfOMule4Hcup/W3kuL+qK8G3hrKjOb5+6lUceRCrl0L6D7ibNcuhfIrfvJpXvJF7n23yyX7ieX7gV0P3GWS/cCuXc/+SCX/pvl0r2A7ifOculeILfuJ6p70VJTERERERERERGRNNDAm4iIiIiIiIiISBpo4K1hM6IOIIVy6V5A9xNnuXQvkFv3k0v3ki9y7b9ZLt1PLt0L6H7iLJfuBXLvfvJBLv03y6V7Ad1PnOXSvUBu3U8k96IcbyIiIiIiIiIiImmgGW8iIiIiIiIiIiJpoIE3ERERERERERGRNNDAWz1mNtXM3jKzZWZ2bdTxNJeZzTSzjWa2qFZbdzP7m5m9E/7bLcoYm8rMBpnZc2a2xMwWm9nXwvZsvZ+2ZjbHzF4P7+d7YftQM3sl/Jn7k5mVRB1rU5lZoZktMLMnw+1svpeVZrbQzF4zs3lhW1b+rAGYWVcze9jM3jSzpWZ2VDbfT75RXxQf6oviT31RPKkfym7qh+JD/VD8qR+Kr7j0RRp4q8XMCoHbgY8Bo4ALzWxUtFE12z3A1Hpt1wLPuvsI4NlwOxtUAt9w91HAFODK8L9Htt7PfuAkdz8cGA9MNbMpwI+BW919OLAN+GyEMTbX14Cltbaz+V4ATnT38e5eGm5n688awM+Bp919JHA4wX+nbL6fvKG+KHbUF8Wf+qJ4Uj+UpdQPxY76ofhTPxRf8eiL3F2v8AUcBTxTa/s64Lqo42rBfRwELKq1/RbQL3zfD3gr6hhbeF+PA6fmwv0A7YFXgSOBzUBR2F7nZzDOL2AgwS+qk4AnAcvWewnjXQn0rNeWlT9rQBdgBWEBnWy/n3x7qS+K90t9Ubxe6ovi+VI/lN0v9UPxfqkfitdL/VB8X3HqizTjra4BwOpa22vCtmzXx93Xh+83AH2iDKYlzOwgYALwCll8P+E05NeAjcDfgHeB7e5eGR6STT9zPwOuAarD7R5k770AOPBXM5tvZtPDtmz9WRsKbALuDqe932VmHcje+8k36otiSn1RLKkviif1Q9lN/VBMqR+KJfVD8RWbvkgDb3nGg2FdjzqO5jCzjsCfgf9y952192Xb/bh7lbuPJ3gyMhkYGXFILWJmpwMb3X1+1LGk0LHuPpFgWcWVZnZ87Z1Z9rNWBEwEfuXuE4A91JtCnWX3IzkmG3/+1BfFj/qiWFM/JLGWjT9/6ofiR/1Q7MWmL9LAW11rgUG1tgeGbdnufTPrBxD+uzHieJrMzIoJOph73f2RsDlr76eGu28HniOYetzVzIrCXdnyM3cMcKaZrQQeIJha/XOy814AcPe14b8bgUcJ/gjI1p+1NcAad38l3H6YoNPJ1vvJN+qLYkZ9UWypL4ov9UPZTf1QzKgfii31Q/EWm75IA291zQWjxf0AAAAgAElEQVRGhFVISoBpwKyIY0qFWcBl4fvLCPICxJ6ZGfBbYKm731JrV7beTy8z6xq+b0eQm2EpQWdzfnhYVtyPu1/n7gPd/SCC/5/8w90/TRbeC4CZdTCzTjXvgY8Ci8jSnzV33wCsNrNDw6aTgSVk6f3kIfVFMaK+KL7UF8WX+qGsp34oRtQPxZf6oXiLU19kYUI5CZnZxwnWaRcCM939hxGH1Cxmdj9wAtATeB/4DvAY8CAwGFgFfMrdt0YVY1OZ2bHAv4GFfLhm/psEOQ2y8X7GAb8j+NkqAB509xvN7GCCJyTdgQXAxe6+P7pIm8fMTgD+x91Pz9Z7CeN+NNwsAu5z9x+aWQ+y8GcNwMzGA3cBJcBy4ArCnzuy8H7yjfqi+FBflB3UF8WP+qHspn4oPtQPZQf1Q/EUl75IA28iIiIiIiIiIiJpoKWmIiIiIiIiIiIiaaCBNxERERERERERkTTQwJuIiIiIiIiIiEgaaOBNREREREREREQkDTTwJiIiIiIiIiIikgYaeBNpITPbHf57kJldlOLP/ma97RdT+fkiIpL91A+JiEjU1BeJNE4DbyKtdxDQrE7GzIoaOaROJ+PuRzczJhERyR8HoX5IRESidRDqi0SS0sCbSOv9CDjOzF4zs/82s0Iz+6mZzTWzN8zsCwBmdoKZ/dvMZgFLwrbHzGy+mS02s+lh24+AduHn3Ru21TxJsvCzF5nZQjO7oNZn/9PMHjazN83sXjOzCP63EBGRzFM/JPL/2bvzMLmqOv/j7093NrKQtbOQhYQshE2WBAjKvoRFRhwUxBGNP9EooojLACrKiKDg4yiiwIiyhNEBlEXQUUImLLKYAGEJASIJCUtC9n1fv78/7u1Qna5Ouqu663Z3fV7Pc5+qe+49t74tjxzqW+ecr5llzWORWR12l2E2s927HPhWRJwJkA4WqyLicEntgaclPZLeexhwYETMTc8/FxHLJe0BPCfpvoi4XNJXIuKQPJ91NnAIcDDQK+3z9/TaocABwHvA08CHgKca/881M7NmxuOQmZllzWORWR08482s8Y0FPiPpJWAq0BMYnl57NmeAAbhY0svAFGBgzn11ORq4KyK2RcQi4Ang8Jxnz4uI7cBLJNO9zcys/HgcMjOzrHksMkt5xptZ4xPw1YiYWKNROh5Yt9P5ycBREbFe0uNAhyI+d1PO+234/99mZuXK45CZmWXNY5FZyjPezIq3BuiScz4RuFBSWwBJIyR1ytOvK7AiHWBGAmNyrm2p7r+TJ4FPpHsmVAHHAs82yl9hZmYtlcchMzPLmsciszo4+2tWvOnAtnR69B3AL0imNL+Qbua5BPhonn4PA1+S9DrwT5Kp1dVuAaZLeiEiPpXT/gBwFPAyEMClEbEwHaTMzKw8eRwyM7OseSwyq4MiIusYzMzMzMzMzMzMWh0vNTUzMzMzMzMzM2sCTryZmZmZmZmZmZk1ASfezMzMzMzMzMzMmoATb2ZmZmZmZmZmZk3AiTczMzMzMzMzM7Mm4MSbmZmZmZmZmZlZE3DizczMzMzMzMzMrAk48WZmZmZmZmZmZtYEnHgzMzMzMzMzMzNrAk68mZmZmZmZmZmZNQEn3szMzMzMzMzMzJqAE29mZmZmZmZmZmZNwIk3MzMzMzMzMzOzJuDEm5mZmZmZmZmZWRNw4s3MzMzMzMzMzKwJtMk6gFLr1atXDB48OOswzMxajF69ejFx4sSJEXFa1rG0Bh6HzMwabtq0aUsjoirrOFoLj0VmZg1X6FhUdom3wYMH8/zzz2cdhplZiyKpV9YxtBYeh8zMGk7S21nH0Jp4LDIza7hCxyIvNTUzMzMzMzMzM2sCTryZmZmZmZmZmZk1ASfe6mHR6o1Zh2BmZmZmZmZmZi1M2e3x1lCrNmzhqB9PZkD3jnxoWC+OGd6Lo/bpSfdO7bIOzczMzMzMzMzMmjEn3nbjH28uY3vAO8vX886z73DXs+8gwYF7deXo4b04ZlgvjhjSgzaVnjxoZmZmZmZmZmbvc+JtN56evbRWWwS8Mn8Vr8xfxc2Pv0nvLu05Z/QAPjF6EIN6dswgSjMzMzMzMzMza26ceNuNp/Ik3na2eM0mbnzsTW587E2OHtaLTxw+kFMP6Eu7Np4FZ2ZmZmZmZmZWrpx424X1m7fSrWNbKgTbo359npq9lKdmL+XQQd349fmj6L1nh6YN0szMzMzMzMzMmiUn3nahY7s2PPDlD7FqwxamzFnG07OX8tSspcxZum63fV98ZyVfuetF7vrCGCorVIJozczMzMzMzMysOXHirR667tGWUw/oy6kH9AVg/soNPD17Kf/32iIenbmYrXVMh3t27nJ+++Qcvnjc0FKGa2ZmZmZmZmZmzUAmm5BJ6ibpXkkzJb0u6ShJPSRNkjQrfe2e3itJN0iaLWm6pMNynjMuvX+WpHGlir9/tz04d/RAbvnMaP7x7ZO4/PSRDK6jqMJPH/knr723ulShmZmZmZmZmZlZM5HV7v+/AB6OiJHAwcDrwOXA5IgYDkxOzwFOB4anx3jgZgBJPYArgSOBI4Arq5N1pVTVpT1fOm4oj33reG761GFop1WlW7YFX7/nJTZu2Vbq0MzMzMzMzMzMLEMlT7xJ6gocC9wKEBGbI2IlcBYwIb1tAvDR9P1ZwJ2RmAJ0k9QPOBWYFBHLI2IFMAk4rYR/Sg2SOOOgfnz+6CG1rv1z0Rp+OvGfGURlZmZmZmalJOknko7MOg4zM2sespjxNgRYAtwu6UVJv5XUCegTEQvSexYCfdL3/YF3c/rPS9vqas/UN8fuy8i+XWq1//apuTwze2kGEZmZmZmZWQl9Dvi1pDmSfiTpoKwDMjOz7GSReGsDHAbcHBGHAut4f1kpABERQP6KBQWQNF7S85KeX7JkSWM9Nq8ObSv5+ScOoV1l7f9pv/XHl1m1YUuTfr6ZmZmZmWXq3Yg4BPgwsAW4V9IMSd+VtE/GsZmZWYllkXibB8yLiKnp+b0kibhF6RJS0tfF6fX5wMCc/gPStrraa4mIWyJidESMrqqqarQ/pC779duTb44dUav9vVUbveTUzMzMzKx1C4CIeD0iroyIfYHPAN2ARzONzMzMSq7kibeIWAi8K2nftOkk4DXgIaC6Muk44MH0/UPAZ9LqpmOAVemS1InAWEnd06IKY9O2ZuHzx+zDkUN61Gp/4MX5bNrqQgtmZmZmZq2Udm6IiBci4t8jYnAG8ZiZWYayqmr6VeD3kqYDhwA/Aq4FTpE0Czg5PQf4KzAHmA38BvgyQEQsB34IPJceV6VtzUJlhfjPcw+mY7vKGu1rN21lypxmE6aZmZmZmTWu47MOwMzMmo82WXxoRLwEjM5z6aQ89wZwUR3PuQ24rXGjazwDunfk5P368NDL79Vof+TVhRw3oumXvJqZmZmZWWlFxCpJXUhW5FQXf5sPPBIRa7KLzMzMspDVjLeyccr+fWq1TXptEdu3N1rtCDMzaySSbpO0WNKMnLYekiZJmpW+dt+pz+GStkr6eOkjNjOz5kbSp4CXgdOAHulxOvByem13/T0WmZm1Ik68NbHj962ibWXNbR4Wr9nE9PmrMorIzMx24Q6SL0q5LgcmR8RwYDI5lbglVQLXAY+UKkAzM2v2vg+MjogvRMR/pMfngcOBK+vR/w48FpmZtRpOvDWxLh3a8sGhvWq1P/LqwgyiMTOzXYmIvwM7b8R5FjAhfT8B+GjOta8C9/F+JW4zMzMBW/K0byFP4YWdeSwyM2tdnHgrgXzLTR95bVEGkZiZlQdJoyR9JD1GFfm4Pmk1bYCFQJ/0M/oD/wrcXI94xkt6XtLzS5YsKTIcMzNr5q4DXpL0S0mXpsevgBd4v4BcQ3ksMjNroZx4K4F8ibfZi9cyZ8naDKIxM2u9JJ0k6Q2SLzZnp8d1kt6QVKuAT0OlBX+qN+m8HrgsIrbXo98tETE6IkZXVbm4jplZaxYRtwJHAFNJZrgJmAKMSa8V+3yPRWZmLUgmVU3LTZ89O3DIwG689O7KGu2TXlvEF4/rnFFUZmat0i+B0yJiTm6jpKHAX4D9CnjmIkn9ImKBpH68v5RnNHC3JIBewBmStkbEnwoP38zMWoOIWAb8rvpc0mkRsbSIR3osMjNroTzjrUTGHuDlpmZmJdAWeDtP+zvptUI8BIxL348DHgSIiCERMTgiBgP3Al/2Fx0zM6vDj4rs77HIzKyFcuKtRMbmWW76wjsrWLJmUwbRmJm1WhOAqZK+Kenc9Pgm8A+SKnG7JOmu9N59Jc2TdAHJstVTJM0CTqbw/XnMzKx87baowo4bPRaZmbUqXmpaIkOrOrNPr07MWbpuR1sETH59EecdMSjDyMzMWo+IuFrSgyTV305Im+cDn4uI6fXo/8k6Lu1yf7iI+GxD4jQzs7Lz5fre6LHIzKx1ceKtRCRxygF9+PUTNbYd4pHXnHgzM2tMEfEK8Mqu7pH0h4g4t0QhmZlZGZK0B3AJsHdEfEnSMGB4RPwt49DMzKyEvNS0hMbu37dW21Ozl7J209YMojEzK2vDsw7AzMxavdtIlpgenZ6/R/F7vZmZWQvjxFsJHTqwG706t6/Rtnnrdv7+xpKMIjIzK1uRdQBmZtbqDY+IHwFbACJiPQ3Y683MzFoHJ95KqKJCnLJ/71rtk1zd1MzMzMystdksqQPpjz2ShgCbsw3JzMxKzYm3Esu33HTy64vYtt2TL8zMSsgzDszMrKldBTwMDJA0AXgM+Ha2IZmZWam5uEKJHTW0Jx3bVbJ+87Ydbas3bmXu0nUM6905w8jMzFoXSe2AQRExO8/l75Q6HjMzKy8R8bCkacAHSX7w+feIWJxxWGZmVmKe8VZiHdpW8oEBXWu1z5i/KoNozMxaJ0kfJqlsOik9P0TSA9XXXVHOzMxKISKWRMSDEfGniFgsycV9zMzKjBNvGTiovxNvZmZN7CrgSGAlQES8BAzLNCIzMzOYnHUAZmZWWkUtNZV0HjA0Iq6RNBDoHRHTGie01uvAPIm3V5x4MzNrTFsiYqVUYys3b6ZpZmZNTtLP6roE1P4iYGZmrVrBiTdJvwLaAscC1wDrgP8CDm+c0FqvfIm3195bzfbtQUWF9/s2M2sEr0s6F6hIq8hdDEzJOCYzMysP44FLgU15rm0pcSxmZpaxYma8fTAiDpP0IkBELE83srbdGNKzE53aVbIup8DCmk1beXv5eob06pRhZGZmrcZXgO8D24H7gYnAdzONyMzMysVzwIsR8Y+dL0j6j9KHY2ZmWSpmj7ctkipIl+5I6knyBWe3JL0l6RVJL0l6Pm3rIWmSpFnpa/e0XZJukDRb0nRJh+U8Z1x6/yxJ44r4W0qqokIcsJeXm5qZNQVJlcD3IuKyiDg0PS6PiPVZx2ZmZmXhXGB6vgsRMbDEsZiZWcaKSbzdCNwHVEn6AfAUcF0D+p8QEYdExOj0/HJgckQMJ9l09PK0/XRgeHqMB26GJFEHXEmyefYRwJXVybqWIN9y01edeDMzK1pEbANOyDoOMzMrT2kl03W7u0/SH0oRj5mZZavgpaYRcaekacDJJBuFnhMRM4qI5Szg+PT9BOBx4LK0/c6ICGCKpG6S+qX3ToqI5QCSJgGnAXcVEUPJHDRgz1ptnvFmZtZopkm6H/gjyR6kAETEQ9mFZGZmVsPwrAMwM7OmV1DiLV3GMz0iDgBeLeARATwiKYBfR8QtQJ+IWJBeXwj0Sd/3B97N6TsvbaurPV+840lmyzFo0KACwm18B+ZZajpj/ioigp2q8JmZWcN1IUm4nZHTFoATb2Zm1ly42raZWRkoKPEWEdskzZHUPyLmF/CIoyNivqTewCRJM3d6fqRJuUaRJvZuARg9enSzGOD2qerMHm0r2bDl/QILqzdu5d3lGxjUs2OGkZmZtXwR8emsYzAzMzMzMytmj7fOwOuSJkq6v/qoT8fqZF1ELAYeINmjbVG6hJT0dXF6+3wgdxPSAWlbXe0tQmWF2H8vLzc1M2sKkvaS9EdJC9LjHkl7ZR2XmZlZDi9zMTMrA8Uk3q4G/hX4CUmhhepjlyR1ktSl+j0wFphBsvynujLpOODB9P1DwGfS6qZjgFXpktSJwFhJ3dOiCmPTthbjoDwFFma858SbmVkjuB14BBicHpPSNjMzs5KR1E7SsDouf6ekwZiZWSaKKa4wWVIvoLoq6fMRsbQeXfsAD6T7mLUB/iciHpb0HPAHSRcAb5OU4Qb4K8kePbOB9cD/Sz9/uaQfAs+l911VXWihpchX2XSGZ7yZmTWGPhHxm5zz30r6SmbRmJlZ2ZH0YeBnQDtgiKRDgCsj4l8BIuJvWcZnZmalUXDiTdLHgJ8DT5JMk/4vSV+PiAd21S8i5gAH52lfBpyUpz2Ai+p41m3AbQ2Pvnk4sH/+paYusGBmVrTlks4D7knPzwVa1I8zZmbW4l0FHAk8BhARL+1i9puZmbVSBSfegO8Dh0fEIgBJfUiW9ewy8WbvG1bVmfZtKti0dfuOtpXrtzB/5QYGdHeBBTOzInwOuIlkC4QApqRtZmZmpbIlIlbu9IN6syj0ZmZmpVNM4q2iOumWWkxxe8aVnTaVFezXb09eendljfYZ81c58WZmVoSIeItkmwIzM7OsvC7pXKBC0hDgYpIfgszMrIwUkyibJOl/JZ0v6XzgzyQz3qwB8hVYcGVTM7PiSLpVUrec8+6SfrOrPmZmZo3sK8AoYDtwP7AJuCTTiMzMrOSKmfH2TeAc4Oj0fAJwb9ERlZm8lU3nr84gEjOzVuWwiNgxnTgiVkgalWVAZmZWPiRVAt+LiMuAy7KOx8zMslPMjLeBwJ8j4uKIuBj4CzCgccIqHwfkKbAwIy2wYGZmBauQtOOXDUndgba76yTpNkmLJc3IaeshaZKkWelr97T9U5KmS3pF0jOSahUOMjOz8hQR24ATCunrscjMrHUpJvF2P7At53w7cF9x4ZSfEX260K5NzX8My9ZtZuHqjRlFZGbWKlwP/EPSlZL+A3ga+M969LsDOG2ntsuByRExHJicngPMBY6LiIOAHwK3NELcZmbWekyTdL+kT0r6SPVRj3534LHIzKzVKCbx1iYiNlefRMQmoH3xIZWXtpUV7Ne3S632V+Z5nzczs0JFxO3AecAqYAVwXkTcUY9+fweW79R8Fsl2CqSvH03vfSYiVqTtU/CsbzMzq6kLsI6k2M856fHx3XXyWGRm1roUs8fbMklnRMRfASSdSe0BwurhgP5deXmnRNuM+asYe0DfjCIyM2uZJHUAtkTEtoiYLmk9cDowGJhe4GP7RMSC9P1CoE+eey4A/raLuMYD4wEGDRpUYBhmZtaSRMSnG/FxHovMzFqoYma8fQm4StJcSW8B3yf9F7k1TN4CC++5wIKZWQEmAkMBJA0FngX2B74h6ZpiHx7JBpw1NuGUdALJl506N8+OiFsiYnREjK6qqio2DDMzawEk7SXpj5IWpMc9kvYq9rkei8zMWpaCE28RMSsiRgOHAodExBERMavxQisfB+5VO/H2ynwvNTUzK0CPiHgjfT8OuDsiLgROBeqzr04+iyT1A0hfF1dfkPQB4LfAWRGxrPCwzcysFbodeIRk1vVgYFLaVgiPRWZmLVSDE2+SzpCUOzf5y8DkdOPQvRsvtPIxom9n2laqRtuSNZtY5AILZmYNlTsD4ESSLznV+5BuL/CZD5Ek8UhfHwRIx8L7gU/nJPvMzMyq9YmI30TEpvT4LfmXiNaHxyIzsxaqkBlvPwaWAUj6MPA5kuTbI8CvGy+08tG+TSX75imw8M+FazKIxsysRXtV0rWSLgZGkIxNSOoKaJc9k/vuAv4B7CtpnqQLgGuBUyTNAk5OzyHZYqEncJOklyQ93/h/jpmZtWDLJZ2n932CeuyJ7bHIzKx1KaS4QkTEuvT92cBvI2IqMFXSFxsvtPIyok8XZsyvua/brMVrOXaE918wM2uAzwNfJ0m6nZYzXh0I/Gx3nSPik3VcOinPvZ9PP8/MzCyfzwE3ATeSzMiekrbtksciM7PWpZDEW4WkjsAGkn/5585ya98oUZWh4b1rz3ibvdgz3szMGiIi1kn6MXB7RLyQ0/408HR2kZmZWbmJiLeAM7KOw8zMslXIUtNfAi8CU4FZEfEsgKSDSUpbWwGG9+5cq23WorUZRGJm1rJFxDZgiKS2WcdiZmblS9KtkrrlnHeX9JssYzIzs9Jr8Iy3iPiNpIkkG4O+kHNpKfWYOm35De+TJ/G2eC0RgbTbbYnMzKymOcCTkh4EqpebEhE3ZBeSmZmVmcMiYmX1SUSskDQqy4DMzKz0CpnxRkS8ExHPAedI+m7Os3o2WmRlZkD3jrRvU/Mfx6oNW1iydlNGEZmZtWjvkFQ07QhU5RxmZmalUpEW9wGSGW+AZ2ObmZWZQvZ4A0DSr0gGjmOBa0hmFPwXcHjjhFZeKivE0KrOvLagZoGF2YvW0rtLh4yiMjNrmSLiewCS2keEf8EwM7MsXA/8Q9I9JJW1zwV+km1IZmZWagXNeEt9MCK+CGwEiIjlQLtGiapM1bXc1MzMGkbSEZJeAWal5wdL+mXGYZmZWRmJiNuB84BVwArgvIi4I9OgzMys5IpJvG2RVEFSGhtJPYHt9e0sqVLSi5L+kp4PkTRV0mxJ90hql7a3T89np9cH5zzj22n7PyWdWsTf0izkLbDgyqZmZoW4ATgTWAYQES8DJ2QakZmZlQVJHSRVAkTEdOAvJN+TBmcZl5mZZaOYxNuNwH1AlaQfAE8B1zWg/9eA13POrwN+HhHDSH4RuiBtvwBYkbb/vPozJO1P8gvSAcBpwE3VA1xLNax3l1ptrmxqZlaQioh4e6e2bZlEYmZm5WYiMBRA0lDgWWB/4BuSrskyMDMzK72CE28RcSdwBfBTkkTZORFxd336ShoAfBj4bXou4ETg3vSWCcBH0/dnpeek109K7z8LuDsiNkXEXGA2cEShf09zkG+p6WwvNTUzK8S7ko4AIp1hfQnwRtZBmZlZWegREdVjzjiS7ywXAqcCH8kuLDMzy0LBiTdJvyaZUfCLiLg+ImZIuqKe3a8HLuX9pak9gZURsTU9nwf0T9/3B94FSK+vSu/f0Z6nz86xjpf0vKTnlyxZUs8QS2/vHh1pW6kabcvWbWaZK5uamTXUhcA3gEHAYmBM2mZmZtbUIuf9iSRVtkmL/dR7ax4zM2sdillqeibwe0n/ltN29u46SToTWBwR04r47AaJiFsiYnREjK6qqirVxzZYm8oKhvTqVKvds97MzBomIhZHxHkR0Ssieqbvl2Ydl5mZlYVXJV0r6WJgBPAIgKSuJNVNzcysjBSTeFsEHAucL+kX6f5q9RlIPgR8RNJbwN0kvwL9AugmqU16zwBgfvp+PjAQIL3elWSz7B3tefq0WMPz7fPmxJuZWYNIGizpAUkL0+O+3OI8ZmZmTejzwFqSpNtpEbEubT8Q+FlmUZmZWSaKSbwpIlaS7NW2BngM2HN3nSLi2xExICIGkxRHeDQiPpX2/3h62zjgwfT9Q+k56fVHIyLS9vPSqqdDgOEkG5e2aMPyVDb1jDczswa7i2ScGJQef07bzMzMmlSaaPsxsGdEvJDT/nRE3JFZYGZmloliEm//CxCJK0h+vSlmxtllJJV+ZpPs4XZr2n4r0DNt/wZwefq5rwJ/AF4DHgYuiogWX7EuX4GFWYvXZBCJmVmL1ikibo+IzelxB9Ax66DMzKw8pN9Lhkhqm3UsZmaWrTa7vyW/NNmWe/4n4E8NfMbjwOPp+znkqUoaERuBc+rofw3Qqkpy511qusgz3szM6kNS9czrv0r6FsmWBgF8gvQHIzMzsxKZAzwp6UGgerkpEXFDdiGZmVmpNTjxJumJiDhO0grer9hTvbdbRESPRouuDA3u1ZHKCrFt+/vFkBav2cSq9Vvo2tE/mJmZ7carJGNT9bj0tZxrAXyn5BGZmVm5eic9OuJZ12ZmZauQGW8npK+9GjMQS7RvU8nePTsyZ8m6Gu2zl6xh1N7OaZqZ7UpEDNz9XWZmZk0vIr4HIKl9RGzKOh4zM8tGIXu8tZNUGRHbqvcuAL4MnNEa9lhrDobnKbDg5aZmZvUnqULSGZK+LOni6iPruMzMrHxIOkLSK8Cs9PxgSb/MOCwzMyuxQhJvE4GhAJKGklQS3R/4pqQfNWJsZSvvPm+ubGpm1hAPAl8C+gNVOYeZmVmp3ACcCSwDiIiXeX/1kJmZlYlClpr2iIg30vfjgLsj4suS2gPP4/1zipa/sqkTb2ZmDTA4Ig7KOggzMytrFRHxtqTcNq8QMjMrM4XMeIuc9ycCkwDSfQu2N0ZQ5W5YnqWmbzrxZmbWEBMlnZh1EGZmVtbelXQEEJIqJV0CvLG7TmZm1roUMuPtVUnXAvOBEcAjAJK68n4VOSvC0KrOSBA5Kc75KzewdtNWOrcv5B+ZmVnZeRL4s6QANpOMT668bWZmpXQhyXLTQcBikgkLF2YakZmZlVwhM94+D6wFRgKnRUR1+c0DgZ81VmDlrEPbSgb1qF1x3LPezMzq7XrgGKA7yd5uvfAeb2ZmVkIRsTgizouIXhHRM32/NOu4zMystBqceIuIdRFxdURcFBEv5LQ/HRF3NGp0ZSxvZVMn3szM6mse8GJEbKmuwu3K22ZmVkqSBkt6QNLC9LhP0uCs4zIzs9JqcOJN0ouSXqjraIogy9GwvJVN12QQiZlZizQbeFTSv0u6uPrYXSdJt0laLGlGTlsPSZMkzUpfu6ftknSDpNmSpks6rAn/HjMza3nuAh4iWWo6CPhz2rZLHovMzFqXQjYM+3ijR2G15JvxNnuRZ7yZmdXTvPTYs4H97gB+BdyZ03Y5MDkirpV0eXp+GXA6MDw9jgRuTl8b3eDL/7cpHmtmlpm3rv1w1iGUQqeIuD3n/A5JX69HvzvwWGRm1qRKOQ41OPEWEW9Wv5c0AOQs2Q8AACAASURBVBgeEY9Jal/I8yy/4X281NTMrFAR8b0C+/09zzKgs4Dj0/cTgMdJvuycBdwZEQFMkdRNUr+IWFDIZ5uZWesgqfpHn79K+hZwNxDAJ4DdZq88FpmZtS4FJ8okfQ74CtAVGArsDdwEnNw4oZW3oVW1E2/vrljPhs3b2KNdZQYRmZm1HJImkXzJqSEixhbwuD45X2AWAn3S9/2Bd3Pum5e21fqyI2k8MB5g0KBBBYRgZmYtyKskY5DS86/lXAvgOwU802ORmVkLVcwMtYuBI4CpABHxhqQ+u+5i9dWpfRv6d9uD+Ss37GiLgDeXrOXA/l0zjMzMrEW4Iud9B+BjwKZiHxoRIalWQq8e/W4BbgEYPXp0g/ubmVnLEREDm/j5HovMzFqQYhJvGyNis5T8kCPJ07Aa2fA+nWsk3gDeWLTGiTczs92IiKk7NT0haee2+lpUvWxHUj9gcdo+H8j9cjUgbTMzM0NSBXAaMJic710RcUMBj/NYZGbWQhWTeHta0qVAB0knABcBf2mcsAxgRJ8uPP7PJTXa/rnQlU3NzHYnZ38dSCp4jwK6F/i4h4BxwLXp64M57V+RdDfJRtarmmpPnTLZhNzMrLV5kGRp6SvA9iKf5bHIzKyFKibxdinJHgEzSfYtmAj8ujGCssTIvl1qtc104s3MrD5y99fZCswFvrC7TpLuItm8upekecCVJF9y/iDpAuBt4Nz09r8CZwCzgfXA/2vcP8HMzFq4wRFxUEM7eSwyM2tdCk68RcQ2knLVNzdeOJZr37yJt9UZRGJm1rIUur9ORHyyjksn5bk3SGZ7m5mZ5TNR0okR8WhDOnksMjNrXYqpajqG5NeXvam5Z8GIRojLgGG9O1NZIbZtf3/v00WrN7F83WZ6dGqXYWRmZs2TpA/u6npEPFOqWMzMrOw9Cfw5LYSwmWQWdkREj2zDMjOzUipmqentJMtNpwHb6ttJUgfg70D79PPvjYgrJQ0B7gZ6ps/8dFq8oT1wJ8n+PMuAT0TEW+mzvg1ckH7+xRExsYi/p9lp36aSoVWdeGPR2hrtMxeu5oNDe2UUlZlZs/a9PG0BHECy4bQLAZmZWalcDxxD4+zxZmZmLVRFEX1XR8SfI+K9iFhUfdSj3ybgxIg4GDgEOC2dPXcd8POIGAasIEmokb6uSNt/nt6HpP2B80i+TJ0G3NQaK6uO7LtnrbaZC7zPm5lZPhFxeu4B/AfJjzOLgY9nGpyZmZWbecCLEbElIrZVH1kHZWZmpVXMjLdHJf0YuJ8kmQZAREzfVad0H4LqKVxt0yOAE4F/S9snkHxZuhk4K30PcC/wK0lK2++OiE3AXEmzgSOAfxTxNzU7I/t14aGXa7Z5nzczs12TdBzJ7LcOwDUR8beMQzIzs/Izm+Q701+p+X3phuxCMjOzUism8Xb0Tq+QJNCO3V3HdGbaNGAYcCPwJrAyIramt8wD+qfv+wPvAkTEVkmrSJaj9gem5Dw2t0+rsV++GW+ubGpmlpekU4HvknzBuToiHs82IjMzK2Pz0qP2f9CbmVnZKCjxlibOro+I+wrpn06xPkRSN+ABYGQhz6kvSeOB8QCDBg1qyo9qdPkqm76xaA3btgeVFcogIjOzZu1vJD/WvABcLOni3IsRcXYmUZmZWdmJiHz7jpqZWZkpKPEWEdskfQcoKPGW85yVkh4DjgK6SWqTznobAMxPb5sPDATmSWoDdCUpslDdXi23z86fcwtwC8Do0aMj3z3NVb+uHdizQxtWb9y6o23jlu28vWwd+1R1zjAyM7Nm6ZSsAzAzMwOQNIlkRVANETE2g3DMzCwjxSw1fUTSJcA9wLrqxojY5QZkkqqALWnSbQ+SL0nXAY+RbHx9NzAOeDDt8lB6/o/0+qMREZIeAv5H0s+AvYDhwLNF/D3NkiRG9tuTZ+cur9E+c+EaJ97MzHYSEZNhRwXtzRGxPT2vANplGZuZmZWdK3LedwA+Rs5eb2ZmVh6KSbydn75+k+SXHKWvu1vL2Q+YkC5XrQD+EBF/kfQacLekq4EXgVvT+28F/jstnrCcpJIpEfGqpD8ArwFbgYtaa5Wg/fp2qZ14W7CaMw7ql1FEZmbN3mPAWKB6U8xOwETgg5lFZGZmZSUipu7U9ISkndvMzKyVKzjxFhEDd39X3n7TgUPztM8hqUq6c/tG4Jw6nnUNcE0hcbQkI/vV3o/1dRdYMDPblT0iYse/KCNijaSOWQZkZmblRVLuf8RXAKOA7hmFY2ZmGSk48ZYuE/0asHdEXChpGDA8Iv7WaNEZACPzFFiYuXCXK3rNzMrdekkHR8TLAJIOATZmHJOZmZWXV3l/ZdBWYC7whUwjMjOzkitmqeltwCvAMen5e8AfSSrKWSMa0acLEkTO1qzvLt/Amo1b6NKhbXaBmZk1X18HHpD0NskXnoHAJ7MNyczMykmhK4TMzKx1KSbxNjwiPinpHICIWC9JjRSX5ejUvg2DenTk7WXra7S/sWgNo/bukVFUZmbNV0RMlbQfsF/a9FpEbM4yJjMzKw+SdrmfaEQ8U6pYzMwse8Uk3janVeMCQNIQwF9qmsjIvl1qJd5mLnTizcwsl6TjIuIJSR/Z6dIgSUTEQ5kEZmZm5eR7edoCOAAYAFSWNhwzM8tSMYm3q4CHgQGSJgDHARc0SlRWy8i+ezLx1UU12mYucIEFM7OdnAI8Qf6iPAE48WZmZk0qIk7PPZd0JHAFsBi4JJOgzMwsM8VUNX1Y0jTggyT75/w7nvHWZPbr5wILZma7ExFXpK+fzjoWMzMrb5KOI5n91gG4xkXozMzKU4MTb5L+KyK+BBARS4AH0/a9gP8DPtCoERqQzHjb2cwFa4gIvLWemVlNkrqTfNk5mmSm21PA1RGxItPAzMys1ZN0KvBdYBPJ2PN4thGZmVmWKgro01nSHbmFFCSNAJ4Ebmi0yKyGQT06skfbmttBrNm0lfkrN2QUkZlZs3Y3sAb4FHA+sBq4J9OIzMysXPwN2BtYC1ws6f7cI+PYzMysxApZavpp4FbgfyR9CjgcuBf4SkQ82JjB2fsqKsS+fbvw0rsra7TPXLCGAd07ZhSVmVmz1T8irsw5/4GkGZlFY2Zm5eSUrAMwM7Pmo8GJt4gI4HOSbgQmA0OB8yLi6cYOzmoamS/xtnA1J+/fJ6OIzMyarcmSPh4R9wJIOhuYlHFMZmZWBiJiMoCkDsDmiNienlcA7bKMzczMSq+QPd5+TrJfzmaS/dyeBz4m6WMAEfGNRo3QdhjZN1+BBVc2NTPL4zPAVyVtTc/bAKskfZbkN6QemUVmZmbl4jFgLMnWBwCdgIkkxenMzKxMFLLUNHepzqWNFYjt3sh+eQosOPFmZpZPr6wDMDOzsrdHROz4j/WIWCPJe8SYmZWZQpaa3toUgdju5ZvxNmfJWjZu2UaHnQovmJmVs4jYJukM4Ni06fGIeDjLmMzMrOysl3RwRLwMIOkQYGPGMZmZWYkVUtUUAEkPS+qWc95d0v82TliWT7eO7ejXtUONtu0BsxevzSgiM7PmSdI1JLOy56THpZKuzjYqMzMrM18HHpD0mKTHgfuAi7MNyczMSq3gxBvQJyJ27PQfESuAvYoPyXYl36y31xesziASM7Nm7V+AkyLiloi4hWSPnY8U80BJX5M0Q9Krki5J2w6RNEXSS5Kel3REI8RuZmatQERMBfYjScBdAuwXEc8W80yPRWZmLU8xibftkgZUn0ga1Ajx2G7s27f2Pm87Vzo1MzMAcv+FWftXiwaQdCDwBeAI4GDgTEnDgJ8AP4iIQ4Dvp+dmZlbGJB2Xvn4EOBUYlB6npW2FPtdjkZlZC1RIcYVq3weelvQoIOB44MLGCMrqdsjArrXaps5dnkEkZmbN2k+AFyRN5v0x6ntFPG8/YGpErAeQ9ARwNkmV7+oEX1fgvSI+w8zMWodTgCeAc/JcC+ChAp/rscjMrAUqOPEWEf+bTmM+Km26NCIWN05YVpcjhvSs1TZ78VqWrNlEVZf2GURkZtZ8SBoUEe9ExO8kPQYcmV76fkTML+LRM4BrJPUENgBnAM+TLB2aKOmnJLPIP1hHXOOB8QCDBnmCuJlZaxYRV6Svn27kR3ssMjNrgRq81FTS8PT1A0Af3t+4um/aZk2oR6d2efd5mzp3WQbRmJk1O3+qfhMR8yPi/vQoJulGRLwOXAc8AjwMvARsI5np/fWIGEiyh0/eyt/pXnOjI2J0VVVVMaGYmVkLkRaf+5mkZyVNlfSfkroX+jyPRWZmLVMhe7xdnr7emOf4VSPFZbswZp/as96mzHHizcyMZFlpk4iIWyNiVEQcC6wA3gDGAfent/yRZN8dMzMzgLuBNcCngPOB1cA9xTzQY5GZWcvT4KWmEXFB+npMIR8oaSBwJ8lsuQBuiYhfSOpBMhANBt4Czo2IFZIE/IJkKvV64LMR8UL6rHHAFemjr46ICYXE1NKM2acHdzzzVo22KXO8z5uZGdBf0g11XYyIiwt9sKTeEbE4LSZ0NjAG+CpwHPA4cCIwq9Dnm5lZq9M/Iq7MOf+BpBnFPNBjkZlZy1PwHm+S2gNfBI4mSaA9CfwmIjbtputW4JsR8YKkLsA0SZOAzwKTI+JaSZeTzKy7DDgdGJ4eRwI3A0emiborgdHp50+T9FBErCj0b2opvM+bmVmdNgDTmujZ96X76mwBLoqIlZK+APxCUhtgI+neOWZmZsBkSR+PiHsBJJ0NTCrymR6LzMxamGKqmk4ANgG/Sc//jSQJd96uOkXEAmBB+n6NpNeB/sBZJFXnqp/9OEni7SzgzogIYIqkbpL6pfdOiojlAGny7jTgriL+phahep+3mQvX1GifOncZZ35gr4yiMjNrFpY11eznfDO9I+IpYFRTfJ6ZmbV4nwG+Kmlret4GWCXps0BERI+GPtBjkZlZy1NM4u0DEbF/zvkkSa815AGSBgOHAlOBPmlSDmAhyVJUSJJy7+Z0m5e21dWe73NaXQWfMfv0rJV4mzLHiTczK3ubsw7AzMws1SvrAMzMLHuFFFeo9rKkw6tPJI0CXqxvZ0mdgfuASyJide61dHZbFBFbDa2xgs+YfWr/QOZ93sys3EXEGAAlzpf0/fR8kCRvNm1mZiUTEduAU4Fr0uOUiNhWfWQbnZmZlUoxibeDgKmSZkuaDTwLHCzpRUkv7KqjpLYkSbffR0R1BZ5F6RJS0tfFaft8YGBO9wFpW13tZWFX+7yZmRk3AUcBn0zP15BU3zYzMysJSdcAlwJz0uNSSVdnG5WZmZVaMUtNzyqkU1ql9Fbg9Yj4Wc6lh0hKYV+bvj6Y0/4VSXeTFFdYFRELJE0EfiSpe3rfWODbhcTUEnmfNzOzXToyIg6T9CJAWiW7XdZBmZlZWfkX4NDq2W2SbgNeAK7INCozMyupgme8RcSbQAfglPToEBFvVh+76Poh4NPAiZJeSo8zSBJup0iaBZycngP8leQXotkkhRy+nH7+cuCHwHPpcVV1oYVyMWaf2rPepsxZlkEkZmbNzhZJlaTbFkiqArZnG5KZmZWhPXPed8ksCjMzy0zBM94kfYUkCfantOkPkm6MiJt21S+tuqM6Lp+U5/4ALqrjWbcBt9U76FZmzD49uOOZt2q0eZ83MzMAbgAeAHqnS30+jmcYmJlZaf0EeEHSZJLvP8cD38s0IjMzK7lilpqOB46IiLUAkn4EPEOyr46VwK72eavq0j6DiMzMmoeI+L2kaSQ/6Aj4aES8nnFYZmZWBiQNioh3IuJ3kh4j2S4H4PsRUTZ7UpuZWaKY4goCNuecb6HumWzWBKr3edvZ1Llebmpm5U3SDUCPiLgxIn7lpJuZmZVQ9YogImJ+RNyfHk66mZmVoQYn3iRVz5L7b5KqpldIuoJkttuExgzOds/7vJmZ5TUNuELSm5J+Kml01gGZmVnZ8GQEMzPboZClps8Ch0XETyQ9Dhydtn8pIp5rtMisXrzPm5lZbRExAZggqQfwMeC6dOnP8IxDMzOz1q9/OvM6r4i4uJTBmJlZtgpJvO34BSciniVJxFlGjvQ+b2ZmuzIMGAnsDXi5qZmZlcIGkpnXZmZmBSXeqiR9o66LEfGzIuKxBuqe7vM2c+GaGu1T5y7jzA/slVFUZmbZkvQT4F+BN4F7gB9GxMpsozIzszKxLJ15bWZmVlDirRLojPcuaDbG7NOzVuLtsZlLnHgzs3L2JnBURCzNOhAzMys7m3d/i5mZlYtCEm8LIuKqRo/ECjZmn5619nn78/T3uPz0kV5uamZlRdLIiJgJPAcMkjQo93pEvJBNZGZmVi4iYgyAJAGfAvaJiKvSMalvul2PmZmViaL2eLPm4dgRvei6R1tWbdiyo23z1u38bsrbfP2UERlGZmZWct8AxgP/medaACeWNhwzMytjNwHbScaeq4A1wH3A4VkGZWZmpVVRQJ+TGj0KK0rHdm34tyMH1Wr/3ZS32bhlWwYRmZllIyLGp29Pj4gTcg/gjCxjMzOzsnNkRFwEbASIiBVAu2xDMjOzUmtw4i0iljdFIFaccUcNpk1FzcmIy9Zt5k8vzs8oIjOzTD1TzzYzM7OmskVSJcmMayRVkcyAMzOzMlLIjDdrhvp27cC/HFy7mMJvn5pLRGQQkZlZ6UnqK2kUsIekQyUdlh7HAx0zDs/MzMrLDcADQG9J1wBPAT/KNiQzMyu1QvZ4s2bqgqOH8MBOM9xmL17LE28s4fh9e2cUlZlZSZ0KfBYYQLLPW/VU4NXAdzKKyczMylBE/F7SNJKtegR8NCJezzgsMzMrMSfeWpED+3dlzD49mDKn5mrgW5+a68SbmZWFiJgATJD0sYi4L+t4zMysfEm6Abg7Im7MOhYzM8uOl5q2Mp8/ep9abU/OWsrMhasziMbMLDOjJHWrPpHUXdLVWQZkZmZlZxpwhaQ3Jf1U0uisAzIzs9Jz4q2VOXFkb4b06lSr/dYn52YQjZlZZk6PiJXVJ2klOVc1NTOzkomICRFxBnA48E/gOkmzMg7LzMxKzIm3VqaiQnzu6CG12h986T0Wr9mYQURmZpmolNS++kTSHkD7XdxvZmbWVIYBI4G9gZkZx2JmZiXmxFsr9PHDBtCtY9sabZu3bedXj87OKCIzs5L7PTBZ0gWSPg9MAiZkHJOZmZURST9JZ7hdBcwARkfEv2QclpmZlZgTb63QHu0qOf/IvWu13/mPt7nnuXcyiMjMrLQi4jrgamA/YF9gIslMg4JJ+pqkGZJelXRJTvtXJc1M239SVOBmZtaavAkcFRGnRcTtuVsgFMpjkZlZy5NJ4k3SbZIWS5qR09ZD0iRJs9LX7mm7JN0gabak6ZIOy+kzLr1/lqRxWfwtzdVnjtqbdpW1//F+94EZPPPm0gwiMjMruUVAAOcAJwKvF/ogSQcCXwCOAA4GzpQ0TNIJwFnAwRFxAPDToqM2M7MWTdLI9O1zwCBJh+UeRTzXY5GZWQuU1Yy3O4DTdmq7HJgcEcOByek5wOnA8PQYD9wMSaIOuBI4kmTwubI6WWfQe88OfHPsiFrtW7cHF/7uBeYsWZtBVGZmTUvSCElXSpoJ/BJ4B1BEnBARvyri0fsBUyNifURsBZ4AzgYuBK6NiE0AEbG4yD/BzMxavm+kr/+Z5ygmKeaxyMysBcok8RYRfweW79R8Fu/vvzMB+GhO+52RmAJ0k9QPOBWYFBHL02p1k6idzCtr44/dh7MP61+rfdWGLVww4XlWrt+cQVRmZk1qJsnstjMj4uiI+CWwrRGeOwM4RlJPSR1JKqQOBEak7VMlPSHp8HydJY2X9Lyk55csWdII4ZiZWXMVEePTt6enP/zsOCiuwrbHIjOzFqg57fHWJyIWpO8XAn3S9/2Bd3Pum5e21dVuKUn8+OyDOGJwj1rX5i5dxxf/exqbt27PIDIzsyZzNrAAeEzSbySdBKjYh0bE68B1wCPAw8BLJAm9NkAPYAzw78AfJNX6vIi4JSJGR8ToqqqqYsMxM7OW4Zl6ttWLxyIzs5apOSXedoiIINmXp1GU86877dtU8l+fHsXePTvWujZ17nLO/+1U5q/ckEFkZmaNLyL+FBHnASOBx4BLgN6SbpY0tshn3xoRoyLiWGAF8AbJjz73p7OynwW2A72K+yvMzKwlk9RX0ihgD0mH5uzvdjxQ+z/KG8BjkZlZy9OcEm+L0iWkpK/VexPMJ5lCXW1A2lZXey3l/utOj07tuHXc4XTp0KbWtWffWs7p1/+dv72yIE9PM7OWKSLWRcT/RMS/kIwPLwKXFfNMSb3T10EkM+v+B/gTcELaPgJoB7iCjZlZeTuVZC+3AdTc3+3rwHeKebDHIjOzlqc5Jd4eAqork44DHsxp/0xa3XQMsCpdkjoRGCupe1pUYWzaZnkM692Zmz81isqK2iuuVm/cyoW/f4Fv3z+dDZsbYyskM7PmIyJWpD/AnFTko+6T9BrwZ+CiiFgJ3Absk1bpvhsYl87aNjOzMhURE9L93D4bESfm7PF2VkTcX+TjPRaZmbUwtadAlYCku4DjgV6S5pFUJ72WZD+CC4C3gXPT2/9KsnHobGA98P8AImK5pB+SlOkGuCoidi7YYDmOHt6LH599EJfdN518Q/Fdz77Ls3OXc9lpIzl5vz5U5EnSmZmVq4g4Jk/bZuD8DMIxM7Pmb5SkyWlyjHSywDcj4opCH+ixyMys5ckk8RYRn6zjUq3ZCOmvNRfV8ZzbSH7hsXo6d/RABnbvyNfveYmFqzfWuv7mknWM/+9p7NOrE58/JqmK2qFtZQaRmpmZmZm1aKdHxI6lpRGxQtIZQMGJNzMza3ma01JTK5Gjhvbkb187hrH796nznjlL1/GdB17hQ9c+yvX/9wZzlqwtYYRmZmZmZi1epaT21SeS9gDa7+J+MzNrhTKZ8WbZ696pHb/+9Ch+P/UdfviX19i0dXve+5at28z1/zeL6/9vFsN6d2bs/n04Zf8+HDygm5eimpmZmZnV7ffAZEm3AwI+C0zINCIzMys5J97KmCTOH7M3Rwzpwbf++DLT563a5f2zF69l9uK13PT4m/Tq3J4PDOjKAXvtyQF77cn+/boysMceSE7GmZmZmZlFxHWSXgZOBoKkENze2UZlZmal5sSbMaJPFx686EM8OWspt/x9Dk/N3n318aVrN/HozMU8OnPxjrbO7dswoPseDOjeMX1Njr5d96DPnu3p1bk9bSu9utnMzMzMysYikqTbOcBc4L5swzEzs1Jz4s2AZPbbsSOqOHZEFa++t4rf/H0Of56+gG3b61+JfO2mrcxcuIaZC9fU8RnQs1N7endpT8/O7ejRqR3dOyZHj05t/z979x0nd13tf/x1ZrYn2SSbTd2UDUkoIUACSwepShAFbAgqRUDUC9ZrQb0Xr15U5N6fHQsXMKBIEQWidBGkk05JaCmbRvpu2m6ybc7vj/luMrs722d22vv5eAw785lvOZ9kydk98ykMH1TAiEFt3wtrOquIiIiIZBAzOxC4KHhsBe4BzN1PS2lgIiKSEiq8SQeHjhvKzy6cxTdmH8z9i9fzxLJNLFm7vd/XdY+OlNu6u6FHx5vB4II8BhXmMagwHP1akMfgojxKi/IZUpRHaXE+pfu+5jO0OHiURNtLCvJUvBMRERGRgfQm8CzwAXdfDmBmX0ltSCIikioqvEmnxg0r5urTpnL1aVPZtHMv/3hjE48v3cSLK7bR2BJ/M4ZEcoddDc3samju13UK80KUFIQpKcijuCBMQThEfl6IwnCI/DwjPxwiL2SE9z1ChA1CZpgZZtHVcEOtzy06QtCIPg9bcE4IwqH918oLGXnhEPnh6PNwOETYjJDtv1bIjNYxhe6+73nIrF1MFnPdUPRrOHqtiEf/rCLuuIPjtF4o3nhFC/5jRM8Ph4xQyIJ+7I8rHIq+v7+vwWuix8T+PXncO+0X299QcB0nNuZo/wnu0xpn633aH9OV2L+b2HNb/4xb42mNw6xtPwnOtegfUpv3WvvRfQz7/3xDZtqIREREJLd8GLgQeMrMHgXuBvTDgIhIjlLhTXpkdGkRnzx2Ep88dhJ7m1p4e9Mulr27k6Xv7mTpuzt4Y8Mu9jS1pDrMuBqaIzQ0R6itb0p1KJLD2hYxg8IeRH8M31cojRYiW9m+Q2z/j+ve8biQxRQJ2V8sji1itp5/+Pih3HnlcUnpo4iIiIC7PwA8YGaDgPOALwOjzOw3wP3u/nhKAxQRkQGlwpv0WlF+mMPHD+Pw8cP2tUUizpbdDayrrWdd7Z59j3e372HzrgY279zLtrrGFEYtklqR6JC9mJaer5/Y/bG9WYsxPQvkIiIi2cbd64A/AX8ys+FEN1j4JqDCm4hIDlHhTRIiFDJGlxYxurSIozrZJL2xOcKW3dEiXG19I7V1TdTWN1JT10htfSPbdkef19Q1sq2ukR17NEJNJNE0z0VERGTguXstcHPwEBGRHKLCmwyYgrwQFcOKqRhW3KPjm1si1DW0sLuxmbqG1kcLu/Y2sWtvMzv3NrFzbzM79zSxc08TO9o9du1tTtvpryKp0pM16kRERERERCQxVHiTtJUXDjG0JMTQkvw+XyMScfY2t1Df2EJ9Qwt7mlpoaonQ2BKhsTkSfd4coSXi0Yf7vufRTQv2b1jQuolB6/parZsh7Ds34jRHnEjEaYo4LZEIzS1OU4vTHInQ1OKAE4lENxWIBBsixK6/1brul3s0luaI09ISfI1Egq/R180tEZxgwX/2r/PVfg2xzjZCaO1ftN/RP6uWSPTdSMSDGGP+HIjZDKHdOmRt1ixrZ/+fV/T81j/bkLXdhMDM9m1+0Dor0/E2/YhdtyzuvYI4W+NrPd+s7Uiv1r7E/hns34AhZqMLb7sJRKSLzR283ZNIzPdHOlHdTUREREREZOCo8CZZLRQySgryKCnIg8GpjkZylccUWmOLn51tpGDWtnjYvt7XWrBsPa59cTN2ooM+WQAAIABJREFUB9g2S8s5hEJJ66aIiIiIiIi0o8KbiEiSmRlhg7DGm4mIiIiIiOQUjX0QERERERERERFJAhXeREREREREREREkkCFNxERERERERERkSRQ4U1ERERERERERCQJzNtvl5flzGwLsLoHh5YDW5MczkDJpr6A+pPOsqkvkF396U9ftgK4++zEhZO7cjQPQXb1J5v6AupPOsumvkD/+jPJ3UcmMphclqO5KJv6AupPOsumvkB29ae/felTLsq5wltPmdkCd69KdRyJkE19AfUnnWVTXyC7+pNNfckV2fZ3lk39yaa+gPqTzrKpL5B9/ckF2fR3lk19AfUnnWVTXyC7+pOqvmiqqYiIiIiIiIiISBKo8CYiIiIiIiIiIpIEKrx17uZUB5BA2dQXUH/SWTb1BbKrP9nUl1yRbX9n2dSfbOoLqD/pLJv6AtnXn1yQTX9n2dQXUH/SWTb1BbKrPynpi9Z4ExERERERERERSQKNeBMREREREREREUkCFd7aMbPZZvaWmS03s2tTHU9vmdltZrbZzF6PaSszsyfM7J3g6/BUxthTZjbBzJ4ys2VmttTMvhS0Z2p/isxsnpm9EvTne0H7ZDN7Ofieu8fMClIda0+ZWdjMFpvZ34PXmdyXajN7zcyWmNmCoC0jv9cAzGyYmd1nZm+a2Rtmdnwm9yfXKBelD+Wi9KdclJ6UhzKb8lD6UB5Kf8pD6StdcpEKbzHMLAzcBJwNTAcuMrPpqY2q1+YAs9u1XQs86e7TgCeD15mgGfh3d58OHAdcHfx9ZGp/GoDT3f0IYCYw28yOA34M/NTdpwK1wBUpjLG3vgS8EfM6k/sCcJq7z4zZYjpTv9cAfg486u4HA0cQ/XvK5P7kDOWitKNclP6Ui9KT8lCGUh5KO8pD6U95KH2lRy5ydz2CB3A88FjM628B30p1XH3oRyXweszrt4CxwfOxwFupjrGP/XoQeG829AcoARYBxwJbgbygvc33YDo/gPFE/6E6Hfg7YJnalyDeaqC8XVtGfq8BQ4FVBOt4Znp/cu2hXJTeD+Wi9HooF6XnQ3kosx/KQ+n9UB5Kr4fyUPo+0ikXacRbWxXA2pjX64K2TDfa3TcEzzcCo1MZTF+YWSUwC3iZDO5PMAx5CbAZeAJYAWx39+bgkEz6nvsZ8A0gErweQeb2BcCBx81soZldFbRl6vfaZGAL8Ptg2PstZjaIzO1PrlEuSlPKRWlJuSg9KQ9lNuWhNKU8lJaUh9JX2uQiFd5yjEfLuhm1la2ZDQb+AnzZ3XfGvpdp/XH3FnefSfSTkWOAg1McUp+Y2QeAze6+MNWxJNBJ7n4k0WkVV5vZe2LfzLDvtTzgSOA37j4LqKPdEOoM649kmUz8/lMuSj/KRWlNeUjSWiZ+/ykPpR/lobSXNrlIhbe21gMTYl6PD9oy3SYzGwsQfN2c4nh6zMzyiSaYO939r0FzxvanlbtvB54iOvR4mJnlBW9lyvfcicC5ZlYN3E10aPXPycy+AODu64Ovm4H7if4QkKnfa+uAde7+cvD6PqJJJ1P7k2uUi9KMclHaUi5KX8pDmU15KM0oD6Ut5aH0lja5SIW3tuYD04JdSAqAC4G5KY4pEeYClwbPLyW6LkDaMzMDbgXecPefxLyVqf0ZaWbDgufFRNdmeINosvlocFhG9Mfdv+Xu4929kuj/J/9090+SgX0BMLNBZjak9TnwPuB1MvR7zd03AmvN7KCg6QxgGRnanxykXJRGlIvSl3JR+lIeynjKQ2lEeSh9KQ+lt3TKRRYsKCcBM3s/0XnaYeA2d/9BikPqFTO7CzgVKAc2Ad8FHgDuBSYCq4EL3L0mVTH2lJmdBDwLvMb+OfPfJrqmQSb253DgdqLfWyHgXnf/vpkdQPQTkjJgMfApd29IXaS9Y2anAl9z9w9kal+CuO8PXuYBf3L3H5jZCDLwew3AzGYCtwAFwErg0wTfd2Rgf3KNclH6UC7KDMpF6Ud5KLMpD6UP5aHMoDyUntIlF6nwJiIiIiIiIiIikgSaaioiIiIiIiIiIpIEKryJiIiIiIiIiIgkgQpvIiIiIiIiIiIiSaDCm4iIiIiIiIiISBKo8CYiIiIiIiIiIpIEKryJ9JGZ7Q6+VprZJxJ87W+3e/1CIq8vIiKZT3lIRERSTblIpHsqvIn0XyXQqyRjZnndHNImybj7Cb2MSUREckclykMiIpJalSgXicSlwptI/90AnGxmS8zsK2YWNrP/MbP5ZvaqmX0WwMxONbNnzWwusCxoe8DMFprZUjO7Kmi7ASgOrndn0Nb6SZIF137dzF4zs4/HXPtpM7vPzN40szvNzFLwZyEiIgNPeUhERFJNuUikE91VmEWke9cCX3P3DwAEyWKHux9tZoXA82b2eHDskcAMd18VvL7c3WvMrBiYb2Z/cfdrzewad58Z514fBmYCRwDlwTnPBO/NAg4F3gWeB04Enkt8d0VEJM0oD4mISKopF4l0QiPeRBLvfcAlZrYEeBkYAUwL3psXk2AAvmhmrwAvARNijuvMScBd7t7i7puAfwFHx1x7nbtHgCVEh3uLiEjuUR4SEZFUUy4SCWjEm0jiGfAFd3+sTaPZqUBdu9dnAse7e72ZPQ0U9eO+DTHPW9D/3yIiuUp5SEREUk25SCSgEW8i/bcLGBLz+jHg82aWD2BmB5rZoDjnDQVqgwRzMHBczHtNree38yzw8WDNhJHAe4B5CemFiIhkKuUhERFJNeUikU6o+ivSf68CLcHw6DnAz4kOaV4ULOa5BTg/znmPAp8zszeAt4gOrW51M/CqmS1y90/GtN8PHA+8AjjwDXffGCQpERHJTcpDIiKSaspFIp0wd091DCIiIiIiIiIiIllHU01FRERERERERESSQIU3ERERERERERGRJFDhTUREREREREREJAlUeBMREREREREREUkCFd5ERERERERERESSQIU3ERERERERERGRJFDhTUREREREREREJAlUeBMREREREREREUkCFd5ERERERERERESSQIU3ERERERERERGRJFDhTUREREREREREJAlUeBMREREREREREUkCFd5ERERERERERESSIC/VAYiIiCSLmZ0CnA9UBE3rgQfd/emUBSUiIhlLeUVERHrL3D3VMYiIiCScmd0IHAX8AVgXNI8HLgYWufvXUxWbiIhkHuUVERHpi5wrvJWXl3tlZWWqwxARyRjl5eU89thjj7n77FTH0htm9ra7Hxin3YC33X1aCsJSHhIR6YOFCxdudfeRqYwhXfNKXygXiYj0Xl9zUc5NNa2srGTBggWpDkNEJKOYWXmqY+iDRjM7wt1fadd+ONCQioBAeUhEpC/MbHWqYyBN80pfKBeJiPReX3NRzhXeREQkZ1wJ3G5mDqwN2iYCHrwnIiLSG/3OK2Y2G/g5EAZucfcb2r3/1eBazcAW4HJ3X21mM4HfAKVAC/ADd78nOGcOcAqwI7jMZe6+pK+dFBGRxFLhTUREspK7vwTMNLNKYhbBdvfqVMUkIiKZq795xczCwE3Ae4muETffzOa6+7KYwxYDVe5eb2afB24EPg7UA5e4+ztmNg5YaGaPufv24Lyvu/t9/euhiIgkgwpvIiKS1YJfiKpj28xssruvSklAIiKS0VrzipkVAQeYWYm71/fg1GOA5e6+EsDM7gbOA/YV3tz9qZjjXwI+FbS/HXPMu2a2GRgJbEdERNKaCm8iIpKL/kV0epBIxmhuibB1dyOjSwuJruUuIgPJzH7m7l8Onh8L/BlYD0wws0+7+xPdXKKC/VNUITrq7dgujr8CeCROHMcABcCKmOYfmNl1wJPAte6eUWvOiUjucnfW1NTT2BwZsHsW5YeZUFYyYPdT4U1ERLKSmd3Y2VvA0IGMRaS/nnprM1+9Zwm19U1MGlHCl86YxnkzKwiHVIATGUDviXn+Q+ACd3/JzA4E7gS6K7z1mJl9CqgiunZbbPtY4A/Ape7e+lvqt4CNRItxNwPfBL4f55pXAVcBTJyoz55EJLWaWiLc+dJqfv30CjbvGtjPCmZOGMYDV584YPdT4U1ERLLV1cC1QGOc95oHOBaRPltQXcNn/7Bw3yfBq7fV89V7X+HmZ1byzdkHc+pBIzUCTmTgDQvWfMPd3w7Wb+vOemBCzOvxQVsbZnYm8B3glNiRa2ZWCjwEfKf13sH9NwRPG8zs98DX4t3c3W8mWpijqqrKexCviEjCuTuPLd3Ejx99k1Vb61IdzoBQ4U1ERLLVfGCBu7/Y/g0z+48UxCPSa9Vb6/jMHQviTr94c+MuPj1nPsdMLuP8mRWEQ8mNpbggj+MmlzGqtKhX5+1pbOGlldsYVpLPrInDkxSdyIA4yMzmER05PdXMhrr7DotWvgt6cP58YJqZTSZacLsQ+ETsAWY2C/gdMNvdN8e0FwD3A3e030TBzMa6+4YgjvOB1/veRRGRjrbtbuCFFdt4fvlWFq/Zzu6Gjp9hFxeEGTu0iDGlRdGvQ4spG1RA7OD8huYId7xYzfzq2oELPg2o8CYiItnqQqCzj9EmDWQgIn1RW9fIp+fMp7a+qcvj5q2qYd6qmgGJaUhhHr/+1JGcPG1kj45/a+Murrh9Putq9wBw7hHj+H8XHEF+squEIslxZLvXe4Ov5cD13Z3s7s1mdg3wGBAGbnP3pWb2faIfFM0F/gcYDPw5GMm6xt3PBS4gOtV1hJldFlzyMndfAtxpZiOJFgSXAJ/rRx9FJANt2LGHJ9/YzOade7s/uBd2NTTz8soalm3Y2aPjl2/endD7ZwsV3kREJCu5+8Yu3ts3fMjM7nL3iwYmKslkzS0R7pq3hkVrttPU0v0CwGbGAeWDuOyESoYP6slgmP0amlv47B8Wpt0UjF0NzVx1x0Lu/MyxHNnN6LW1NfVcfOvLbdZtmfvKu5jBTy+YSUjr00mGcfe3OmnfAtzd+rqrvOLuDwMPt2u7Lub5mZ2c90fgj528d3q3wYtI2lu/fQ9L1mxnQlkxM8YN7TZP7trbxCOvb+SBxet5ceU2PMMnkB8wchChAVo6Y/zw4gG5TysV3kREJNcdlOoAJP21RJx/u3MRjy/b1Otz75q3hp9+fCYnTi3v0fHuzjfue5V51R1HsVUMK2Z0aSGL1mzvdRyJsqephU//fj5//tzxHDh6SNxjtuxq4FPtim6tHlzyLsOK8/mvcw/V2nSSrZRXRKTHqrfW8Yt/vsMDi9cTCYpnY0qLOOvQ0Zw1YwzHVJaRFw5RU9fImxt38tbGXSxcXcs/3tjE3qaB2wk0WU6YMoJvv/8QZlRk795nKryJiIh0wsxmAz8nOiXoFne/oZPjPgLcBxzt7gsGMEQZIDc88kafim4Am4Mi1OdOmcJX33tgl9MsF62p5bdPr4h7ryFFecz59NFMHTWYx5dt4sZH32TFltSMiNuxp4mLb32Z+z53AhPKSjq8d8lt81i9rb7T829/cTVlgwr50pnTkh1q1nhxxTZ+868VzFu1jZZI22ENRXlhTpxazpfOnMYhY0tTFKGISGq5O2tr9rBwTQ1berhLZsiM0aVFTCgrYWJZCcNL8jEz9ja1sPTdnby6bjuvrtvBii27Kc4Pc1jFUI6YMIwjxg9jQllxvz5AWr2tjl/+czn3L17f4d/1jTv3cvuLq7n9xdUML8knLxzqcZ8yxbRRg/n2+w/JiU2iVHgTERGJI9ih7ibgvcA6YL6ZzXX3Ze2OGwJ8CXh54KOUgXD3vDX837Or+nUNd/jN0yt4YcU2fnnhLCaO2F+sam6J8MjrG7nt+VUs7mQkW17I+N2njmJaMMLsrEPHcMbBo3hs6SZeXrWNvU0t/YqvOwtX13Yo8m3a2cDFt77Mnz93AiOHFALRjRQ+c/sC3ujBWjA//cfbDB+UzyXHVyYj5Kyxt6mFHz/6Jr9/vrrTY5pamnl06UaefHMTX3nvgXz2PVMIayqviKSZ+sZm3t60m/ywUVqUz+DCPIYU5ZHXi3U/3Z09TS3s3tvM7oZmduxp4rX1O5i3qob51TVs2tm/4tTgwjxGDilkbU09zZGOczdfjllTdXhJPpNGDKIv/9xGHF5bv6NDwS2e7tZ6HSjTRg3mxKnlnDi1nINGD6F9rWzHniY27tjLhp172bhjDxu272Xn3o6bMJQW5XHygeV88PBxvfq7z2QDVngzs2nu/s5A3U9ERKSHOvtx6RhgubuvBDCzu4HzgGXtjvtv4MfA15MWoaTMCyu28h8PJG6DwFfWbufMn/yLIUX7fwRraI7E3R0s1o8+fBgntJuqmhcOcc7hYznn8LEJi68zW3Y18LHfvkB1u1Fs1dvqOecXzzJmaHSn09r6RtbW7OlwfmFeiIY4O7N+d+5Shhbnc97MiuQEnuGWrN3OV+9dwsoejmxsanFufPQt/rFsE//vgplMLh+U5AilE6p6isTYtHMvv3jyHe6ZvzZuMasoP0S4ByOenOiHET2oVfXZ7obmbnNyq9r6JmrrU7f0Q3uVI0o469AxlBQkrsxjBhPKijlhSjmju9nVfAJk9XTR/hjIEW9PAhMH8H4iIiI9cV0n7RXA2pjX64BjYw8wsyOBCe7+kJl1Wngzs6uAqwAmTlQqzBQrt+zm839cFPeXhCtOmswRE4Z1eq67c/e8tby4cluH9xpbImyra+xxHF84fSofq5rQ4+OTYeSQQv5wxbF89LcvdBhNsHlXQ9y13FqVFIS588pjeeT1jdz8zMo277nDV+5ZEp2emgMj37bubuD55VupqWvEHSLu+7629+72PfzhpdV9+gVz0ZrtnP3zZ/jiGdM4urKMSSNKGDm4MOun8qSRzvKKSE7ZUd/Eb59Zwe+fX9XlWmTZsE5ZopQW5bGnqYWmlp794z+sJJ8PHj6ODx1ZwawJw/TvfJpKaOHNzH7S2VuASp8iIjJgzGw+0Q9HO7wFuLsfQ/TJ3/p4/RDwE+Cy7o5195uBmwGqqqoyfM+p3LCjvokrb1/Ajj0dp3d85Mjx/Mc5h3T7w+0HDh/Hb/+1gp888XaPppK0Vz64kC+fOY1PHpsexdoJZSXccfmxXPC7F+P+ucSTHzZ+d/FRzJo4nJkThlFb18ifF65rc0zE4boHl1K9tZ7vnHNIVk6RXLymljteXM1Dr26gsQc74ibC3qYINz66fxPOkoIwE8tKGFaSPyD378q1Zx/CzC4K1+kq2XlFJJM0NLewtqaelVvqqN5Wx+52UwrrGlv484K1cacaSkfDSvL57HumcMnxk2iOOE+9uZlHX9/I029v3leYzAsZU0YO5qAxQzhozBBmVAzl+ANGUJCXG9M1M1miR7xdBXwDiPexZ3pMTBYRkVzxqX6ev57oqPlW44O2VkOAGcDTQQFmDDDXzM7VBguZ7Zm3t/DduUtZtbXj9L5jKsv44Ydn9OgT5XDIuPq0qRw/ZQRfvGsx62o7TsGMZ/rYUi4/aTIfPGIshXnhXsefTAeNGcJtlx3Np255mT3drCtnBj/7+CxOnjYyeG386MOHsX1PE0/E2TzitudXsba2np9fODOh02RSZXt9I0++sZk7XqzmlXU7EnLNgrwQX3/fQVx8/CRCwfdgU0uEXzz5Djc/u5I4A+f2qW9s4c2NuxISR39tr+/5iM8009+8IpKxduxp4qFXN/DkG5t4Z/Nu1tXWJ3XKZ1/lh43DKoZyWMXQHhWkGpojrKvdw9qaetbU1LdZFmHs0CIOHz+Uw8cP47CKodTWN/LK2h28sm47S9/dkZCResNK8vnMyQdw6QmVDC7cn/vOn1XB+bMqqG9sZtXWOvJCISaXD1KRLUOZd5Whe3sxs6eAb7v7i3HeW+vuqZ0nQXSkwYIF+n1IRKQ3zGyhu1elOo6+MrOxwFR3f9bMCoCwu3dZBTGzPOBt4AyiBbf5wCfcfWknxz8NfK27opvyUPrasGMP//33ZTz82sa4708sK+GBq0+kbFBBr6+9c28T3//bMv66aF3cX1QKwiFOOWgkV5w0mWMnl6X9VJEXVmzlC39a3OmU2eL8MD/88Aw+NGt8h/f2NrXw2T8s5F9vb4l77uHjh3L5iZM7LNqc7vY0trB8827e2rSLtzbu6nL6bV8cVjGUn1xwxL4NNtqbX13Dv9/7CmtqOt9NNl3M+fTRnHrQqF6dk255qC95JZ0oF0lPNLdEeHb5Vv6ycB2PL9tEY5y1OntrSGEe44YVs7uhmZ17m9jd0NzlhwbxFOaFGFKUx6DCPAYX5lE+uJCjJg3n6MoyZk4YRnFB3z60cne27Gpgy+4GRg4uZFQXa5o1t0RYsaWO3Q19H19UlB/mwNFDutztXNJLX3NRoj9OvACIm+3ToegmIiK5x8wuBb5CdITaFOAA4JdEdyvtlLs3m9k1wGNAGLjN3Zea2feBBe4+N7mRS3/tqG/iX+9sYeOOPezcE/0Bf+eeJnbubSZkUFqUT2lxPqVFeTS0RPjDi6upb4w/imtIUR63XVbVp6IbRO/1vx87guvPnxF30eYhRXlpN7qtKydMKeeFb53Ois11NLWbOhkOGQeMHNTpqLWi/DC3XFrFdQ++zl3z1nZ4/9V1O/jyPUuSEncmygsZXzh9Gv922pQufzk7urKMR750Mj965A3++NKaAYww9/Q1r4hkiqaWCDc/s5I5L1SzJUEfIhTmhbjshEo+d8oUhsfk0kgkuktpT2tvhXmhpBWqzIxRpUVdFtxa5YVDHDQm/gchIu0ltPDm7vs+ujSz0qCt+/3kRUREkufLRDdFeAnA3d80szE9OdHdHwYebtcWd9Fsdz+1f2FKojQ2R/j986v4xZPvUNdJIa03ivJD/PqTRzJ1VP9/wC7KD1OUnzkFtq4U5oWZPq60T+fmh0P88EOHMWnEIG545M0ER5behpfkc9ahYyjKDxMyI2TRabnxRjmOGlLIWYeOYUJZSY+uPagwj+vPP4wLj57IQ69tYFWw9tKamvpOi8rSJ33OKyLpbm1NPV+8ezGL1yRmt85wyLigajxfPGMaY4cWd3g/FDIGFWb+8gIiXUn05grjgRuAs4Dd0SYrAR4nOgW1y4/fzOw24APAZnefEbSVAfcAlUA1cIG718acczTwInChu9+XyP6IiEhWaHD3htZfas0sTPzFsSUL/OvtLXzvb0tZuaXj+mx9cczkMq4/fwYHdjK9T/rOzPjcKVOYWFbCV+5Z0mZdnWx0WMVQLj2hkg8cPjbpxdcZFUOZUbF/XzN3Z8vuBtbW7KGhOfUFuEPG9K1gm0aUVyQrPfr6Br5x36s93hBh1JBCJpcP4oCRgxldWojR9gOEskH5nHLgKCaO6NmHByLZKtGl5XuAXwOfdvcmADPLBz4O3A2c0M35c4BfAXfEtF0LPOnuN5jZtcHrbwbXDgM/JlrYExERiedFM/sqUGhmJwNXA4+mOCZJsDXb6vn+35fxjzc6LtrfF+WDC/j2+w/hQ7Mq0n69tUz3/sPGMmZoEZ+5fUGna8ZlonDIOKB8ELMmDuPCYyYya8KwlH0vmRmjhhQxakj306ekR5RXJCMt37yLBxa/y6ptdZQW5VM5ooRJI0qYUFbCvfPXcvuLq7s8f3hJPufNrOCDR4zloDGlbTYDEJHOJfr/lFHufmdsQ1CA+6OZfbe7k939GTOrbNd8HnBq8Px24GmCwhvwBeAvwNF9jlhERLLd14HPAyuI5o/HiH5IJFkgEnHueLGaHz3yZkJGTIUMLj5uEl9930EMLc7vf4DSI0dOHM4jXzqZ21+sZm1NxqxP30bIoGJ4MQeOHsJBY4YwuXxQRq3bJ72ivCIZo76xmYde3cA989eyYHVt9ye0Ew4ZZx4yio8cOZ5TDxqlXTVF+iDRhbclZvYLogWy1tVyJwCXAa/08Zqj3X1D8HwjMBrAzCqADwGnocKbiIh0wt2biS56/ctUxyKJtWnnXr7251d49p2tnR4TMjhvZgWVIwYxpCiP0uJ8hhRFf/xp3Whh554mduxpYszQIk4/eJSmlabIqNIivn7WwakOQ6Rb/ckrZjYb+DnRTXtucfcb2r3/VeBKoBnYAlzu7quD9y4F/iM49Hp3vz1oP4rozKFiouuSfsm9t/tESrZZvnkXc16o5sHF77IrzqY+PVExrJhfXDSToyaVJTg6kdyS6MLbp4CriE7/rAja1gNziX4y1C/u7mbWmkR+BnzT3SPdDds3s6uCuJg4cWJ/wxARkQwSrAV6HTCJmLzn7tNTFpT02yOvbeBb97/G9vqmTo85prKM7547nUPHDe30GBGR3uprXgmWybmJ6O6n64D5ZjbX3ZfFHLYYqHL3ejP7PHAj8PFg3evvAlVE15NbGJxbC/wG+AzwMtHC22zgkYR0VjKKu/P88m3c+txKnnprS/cndOG900fzPx89nGElfdvNW0T2S/Supg0kflTBJjMb6+4bzGwssDlorwLuDopu5cD7zazZ3R+IE9fNwM0AVVVV+vRHRCS33AF8G1gIpH5VcemXd7fv4X8ff4u/Llrf6TFjSov41vsP5twjxml9NhFJhr7mlWOA5e6+EsDM7ia6rM6+wpu7PxVz/EtEBzZAdPO6J9y9Jjj3CWC2mT0NlLr7S0H7HcD5qPCWU5paIjyweD23PreKNzfu6te1CsIhvv3+g7n0hErlUJEESfSupmGi00rPp+2ItweBOcGw7N6aC1xKdLfUS4Nr4e6TY+47B/h7vKKbiIjkvF3ufn+qg5D+eXvTLn77rxXMXfIuzZHOP0O75PhJfHP2wQzSgs8ikjx9zSsV7F+OB6Kj3o7t4vgr2F9Ai3duRfBYF6ddcsTC1bV866+v8vam3T06/qDRQ/jIUdFvkept9azZVs/qmjpq65qYPq6U/zxnOoeN10hxkURK9E+ltwN7iE41bU0A44kWzE4HPtHVyWZ2F9GNFMrNbB3R4dQ3APea2RXAauCCBMcsIiLZ7Ukz+2/gr0BDa2O7qT2SZtydTTsbeGPDTv740mqefHNNNIvgAAAgAElEQVRzl8ePHFLIjR89nNMOGjVAEYpIDkt6XjGzTxGd4XNKAq+p5XeyyO6GZv7n0Te546XVdLeiX0lBmHOPGMfHj57AzBTusCySqxJdeDvG3Q9s11YNPGdmb3d3srtf1MlbZ3Rz3mU9ik5ERHLRqcHXM2PaHDhh4EORzuyob+LBV9azZO12VmypY+Xm3T1eDPp900dzw0cOp2yQ1qERkQFxavC1t3llPdGN51qND9raMLMzge8ApwRL+bSee2rMYeOBp4P28d1dE7T8TqbZubeJ59/Zyqvrd+Ae/YBp5JBCRg4upKaukesfWsaGHXu7vMaEsmIuP3EyH6uawGCNBBdJmUT/31drZh8CHmjdScei5fQPA9sTfC8REZEumVkIuMHdH0x1LBLfjj1N3PrcKn7/3Kpe77o2uDCP6z4wnY9Vjden9yIyIPqZV+YD08xsMtHi2IW0mxFkZrOA3wGz3T12qO9jwA/NbHjw+n3At9y9xsx2mtlxRDdXuATt4p2R3J03N+7i6be28NRbm1m0urbLpRW6cnTlcK446QDeO3004ZDyo0iqJbrwdhHwP8DNZta6jUo58GzwnoiIyIAJdr6+jmB9UEkfO/c2cdtzq7j1uVXs2tu7gtvwknwuPaGSS46v1Cg3ERlQ/ckr7t5sZtcQLaKFgdvcfamZfR9Y4O5zif4uNRj4c/CBwhp3PzcosP030eIdwPdbN1oA/g2YAxQTXRNOGytkgIbmFl5bt4MFq2tZUF3LojW11NQ19uuah1UM5XvnHcqRE4d3f7CIDJhE72q6EvhI8EnQyKB5i7tHEnkfERGRXngs+EXnHqCutdHd61MXUm67d8Farv/7Mnb2suA2fngxnzn5AC6omkBxQThJ0YmIdKvPecXdHwYebtd2XczzMzuctP+924Db4rQvAGb0KHJJuU079/K9vy3lH8s209iSmF+Ti/PD/Pv7DuSyEyrJC4cSck0RSZykTPQOCm2bYtvMrNzdtybjfiIiIl34dPD1O0TX4LHg67iURZTDFq+p5Rv3vdqjY4vzwxwwchDTRg3mzOmjmX3oGP1CISLpQHlF+sTdueZPi5hfXZuwa548rZwffugwJpSVJOyaIpJYA7nC4h+B2QN4PxEREdx9bKpjkP3unre20/fyw8bHqibwvumjmTpqMOOGFhPS2jQikmaUV6Svnn57S6+KbhXDijn1oJGMGlLE1t0NbN61ly27Gti6u5HhJfl8+sTJnDdznNY5FUlzA1Z4c3cV3UREZMCZWSHwBWCSu3/BzKYAU9z98RSHlnOaWyI8vmxjh/bWgtvVp02lYlhxCiITEek55RXpC3fnpn8u7/KYovwQR00azqkHjuK0g0cyZeRgFdVEskBSCm9mdhRQEbxc7+4Lk3EfERGRHrgNeAs4LXi9EbgP0C9IA2xedQ219U1t2oryQzzxlVM0RUZEMonyivTay6tqWLC642i30w8exQlTRlBVWcah40rJ15IKIlknoYU3MzsD+A2wmugW2QDjzWwi8Hl3fzKR9xMREemBg939k2b2IQB3rws2AZIB9ujrHUe7nXLgSBXdRCTTKK9Ir930VMfRbgePGcItl1RpWQWRLJfoEW+/BGYHu5vuEwy//jtwSILvJyIi0p3GYFqQA5jZJKAxtSHlnkjE4xbezp6hpZJEJOMor0ivvLJ2O8++03GfwX87baqKbiI5INGFt3yio93aWxO8JyIiMtCuBx4FKszsVuAM4DOpDSn3LF5by+ZdDW3a8sPG6YeMSlFEIiJ9prwivfKrOKPdJpcP4pzD9OGTSC5IdOHtduBlM7sLaN22bAJwETAnwfcSERHplrs/ZGYLgJMAA77j7h2HXklSxRvtduLUckqL9LmciGQW5RXpjTc37uSJZZs6tH/+lCmENdpNJCckdC0Cd78e+DRQTHSx0dOC55cH74mIiAwoM/u2u29y97+4+33AJjO7LdVx5RJ355G400zHpCAaEZH+UV6R3rjpqRUd2iqGFXP+rIo4R4tINkr4rqbu/hrwWlfHmNm97n5Bou8tIiISxwwz+4q7/9TM8oC7gI4/BUvSLH13J+tq97RpCxm8d7oKbyKSkZRXctxr63Zw2/OrCJlx0rQRnHXoGEoKOv5qvWprHQ+9+m6H9s+ecgAFedqPQyRXJLzw1kPTUnRfERHJPRcD95gZwJnAc+7+o9SGlFviTTM9dvIIygYVpCAaEZF+U17JYetq6/nY715gb1MEgL8sWseggtc55/CxfOTI8cyoGMr86hqeX76Vx5dtIuJtzy8fXMgFVRNSELmIpEqqCm/e/SEiIiJ9Z2bTY15eT3St0eeBB81sursvS0lgOeiR1zd0aDv7MI12E5HMorwiAHe8uHpf0a1VXWML9y5Yx70L1nV7/mdOnkxRfjhZ4YlIGkpV4U1ERCTZbm33eg9wZNDuwAkDHlEOemfTLlZsqevQftahKryJSMZRXhGee2drn88dWpzPJ4+blMBoRCQTpKrwpu1bREQkqdz9+J4cZ2YXuftdyY4nV8XbVOGoScMZXVqUgmhERPpOeUVq6hpZtmFnn8//4hnTGFyosS8iuSZpKzqaWYGZTe3k7W8n674iIiK99PVUB5DN4q3vNluj3UQku3WaV8xstpm9ZWbLzezaOO+/x8wWmVmzmX00pv00M1sS89hrZucH780xs1Ux781MTrfkhRV9G+02bdRgvnfuoVx+YmViAxKRjJCUcruZnQP8BCgAJgf/+H/X3T8E4O6PJOO+IiIifaBR2EmyZlt93JEBs2eo8CYiWS1uXjGzMHAT8F5gHTDfzOa2WxtuDXAZ8LXYc939KWBmcJ0yYDnweMwhX3f3+xLVAYnv+eXbOrR9vGoCJ0wdwX0L1/Hc8q24w5jSIk6cWs5J00ZwwpRyjfIWyXHJGuf6feBY4CkAd1/Sxeg3ERGRVNKGP0ny6NKOmyrMqChlQllJCqIRERkwneWVY4Dl7r4SwMzuBs4D9hXe3L06eC8S7wKBjwKPuHt9QqKVHnt+eccRb6cfMoqzDh3DeTMraGyOsKephdKiPIJdb0VEkjbVtMndt7dr0y82IiKSjvSTcZIsXF3boe3sGWNTEImIyIDqLK9UAGtjXq8L2nrrQqD9GnI/MLNXzeynZlYYNyizq8xsgZkt2LJlSx9um9vW1tSzpqZtrTNkcNwBI/a9LsgLMbQ4X0U3EWkjWYW3N8zsAiBkZpPN7KfAS0m6l4iISH8s6OyNHqzF8zkzey1YU+c5M5ue3FAzy+ptHQdjHDO5LAWRiIgMqE7zSn+Z2VjgMOCxmOZvAQcDRwNlwDfjnevuN7t7lbtXjRw5MlkhZq14o90OGz+MocX5KYhGRDJJsgpv1wBHARHgr0AD8OUk3UtERKRTZlZuZjeZ2YPB60PM7OLW9939M52c17oWz9nAdOCiOIW1P7n7Ye4+E7iR6PqmArg71dvqOrRXjhiUgmhERBKnr3kFWA9MiHk9PmjrjQuA+929KeZ+GzyqAfg90SmtkmDPr+i4vttJU0fEOVJEpK2EF96CX1T+092/6e6zgse1WoNARERSZA7wMlAZvF5Oz3Yy3bcWj7s3Aq1r8ezj7rE7BwxCyyrss2lnA3ub2i5RNKggTPngghRFJCKSMHPoW16ZD0wLZgQVEJ0yOreX976IdtNMg1FwWHR+4/nA6728pnQjEnFeiDPi7cQp5SmIRkQyTcILb+7eApzWl3PN7DYz22xmr8e0lZnZE2b2TvB1eND+yWAdg9fM7AUzOyJBXRARkewy2t3vIDoKm2CUQFeLVrfq0Vo8Zna1ma0gOuLti/0PNzvEHe1WPkjr3ohINuhTXnH3ZqIzgx4D3gDudfelZvZ9MzsXwMyONrN1wMeA35nZ0tbzzayS6Ii5f7W79J1m9hrwGlAOXN+/7kl7b23axba6xjZthXkhjpw0PEURiUgmSdaupgvN7K/An4F9P3m7e3ef6MwBfgXcEdN2LfCku98QrK9zLdF1C1YBp7h7rZmdDdxMdCdVERGRWPVmNoxgNJqZHQnsTtTF3f0m4CYz+wTwH8Cl7Y8xs6uAqwAmTpyYqFuntdWaZioi2avPecXdHwYebtd2Xczz+USnoMY7t5o4HwC5++k9DVz6Jt76bkdXllGUH05BNCKSaZJVeBtCtOD2/pg2p5uh1O7+TPBJTqzzgFOD57cDTwPfdPcXYo55iU4SlIiI5LxvAA8Bk83sSaJTgz7Wg/N6uxbP3cBv4r3h7jcT/YCIqqqqnJiOWh1nY4VJI0pSEImISML1Na9IhopXeDtxqqaZikjPJKXw5u4Xd39Uj4129w3B843A6DjHXAE8ksB7iohIFjCzENAMnA7MAAx43d339uD0fWvxEC24XQh8ot31p7n7O8HLc4B3EACqt2rEm4hkn37mFclAjc0RXl5V06H9JBXeRKSHklJ4M7NxwM+Bk4KmZ4CvuPu7/bmuu7uZtRkpYGanES28nRT/rNyc4iMiIuDuETO7Ndh1dGEvz202s9a1eMLAba1r8QALguUTrjGzM4EmoJY400xzVbwRb5XlKryJSGbrT16RzPTKuu3UN7a0aRtanM/0caUpikhEMk2yppr+HrgP+FTw+uKg7aw+XGuTmY119w3Bjj2bW98ws8OBW4Cz3b3j/s6BXJziIyIi+zxjZue4+0O9PbEHa/F8KQHxZR1372SNN001FZGs0Oe8IpnnuXc6TjM9YcoIwiFtFiQiPZPwXU0Do939/9y9IXjcQvwpoj0xl/0jCC4FHgQws4nAX4GL3f3tfkcsIiLZ6hPA38xsd7Bz9hYz29ztWdJnW3Y3dBgdUJwfZuSQwhRFJCKSUMorOeSFFXEKb5pmKiK9kKwRbzVmdiFwT/D6AqDjxPh2zOwuohsplAfbaH8XuAG418yuAFYH1wK4DhgB/NrMAJrdvSqRnRARkazQYQc4Sa7qrfE3VgjytYhIplNeyRF1Dc0sXrO9Q7vWdxOR3khW4e1y4NfATUR3M30paOuSu1/UyVtnxDn2SuDKfsQoIiI5wN0bzOx9wHuCpqfd/R+pjCnbVceZZjpZ67uJSJZQXskd81bV0Bxpu1LRuKFFWjpBRHolWbuaVgPvT8a1RUREeiPYDOE04K6g6TozO8nd/yt1UWW3eOu7TdKOpiKSJZRXckNTS4TfPbOiQ/uJU8s1gltEeiUpa7yZ2a1mNizm9XAz+79k3EtERKQb5wOnu/uv3f3XREdRfzjFMWW1uDuaanSAiGQP5ZUs5+5c9+BSXlrZcbWkEzXNVER6KVmbKxzp7vsmw7t7LXBUku4lIiLSFQNiqz4lQZskSfVWjXgTkaymvJLl5rxQzV3z1nRoLx9cwPsO7euegSKSq5K1xlvIzIa6+w6IjngD8pN0LxERka78L7DYzB4n+ovRGcD3UhtS9nJ3VscZ8aY13kQkiyivZLF/vb2F//77sg7t4ZDxs4/PoqQgWb9Ci0i2Sta/Gj8DXjSze4gmowuAG5N0LxERkU65++1m9hRwXND0A3fv+DG2JMS2ukZ2NzS3aSvKDzFqSGGKIhIRSSzlley1fPNurvnTItrtpwDAf31wOidN0zRTEem9pEw1dfffAxcCO4Ba4EJ3n5OMe4mIiHTFzN4P7HD3e939XmCnmZ2d6riyVdyNFcoGEQppFpaIZAflley0vb6RK2+fz669zR3eu/i4SVx8fOXAByUiWSGhhTczKzKzMIC7vwr8HYgAlYm8j4iISC/8sHXpA4BgDdIfpjCerLZqa8dpppO0sYKIZJc+5xUzm21mb5nZcjO7Ns777zGzRWbWbGYfbfdei5ktCR5zY9onm9nLwTXvMbOCfvQtZ13/0BtxNwc6ceoIrvvg9BREJCLZItEj3h4DpgCY2RRgHjAd+KqZ/SDB9xIREemJeEOttEBLksQb8ab13UQky/QprwQDFG4Czib6O9JFZta+orMGuAz4U5xL7HH3mcHj3Jj2HwM/dfepRGcbXdF9FyTWqq11/HXRug7tk8sH8etPHEV+OFl7EopILkj0vyBl7v528PxS4G53/zxwFnBu56eJiIgkzStm9kMzqwgePwJeSXVQ2SreaAHtaCoiWaaveeUYYLm7r3T3RuBu4LzYA9y9Opg5FOlJIGZmwOnAfUHT7cD5Pe2IRP3qn8s7rOs2pCiPWy6tYmiJ9ggUkf5JdOEt9p+r04EnANy9gR4mDxERkQS7GighOir7MaAI+HxKI8pi8Ua8VWqqqYhkl77mlQpgbczrdUFbTxWZ2QIze8nMWotrI4Dt7t66MFmn1zSzq4LzF2zZsqUXt81u1VvreGDJ+g7tV582lSkjB6cgIhHJNomearPUzG4A3gUOBB4HMLOhxB+SLSIiklTuvgv4MoCZFbv7nhSHlLXcnVVb42yuoKmmIpJFUphXJrn7ejM7APinmb1GdDO7HnH3m4GbAaqqquLs25mbfvXUclraDXcrG1TAxcdNSlFEIpJtEj3i7UpgN9Gi22x3b/3pewbwkwTfS0REpFNmdq2ZHRQ8zzezh4HNZrbBzE5JcXhZqba+qcNucAV5IcaWFqUoIhGRxElAXlkPTIh5PT5o6xF3Xx98XQk8DcwCtgHDzKx1QEWvrpnrVm+r4/7FHf+4rjx5MoMKtRysiCRGQgtvQaHtR0Cpuy+KaX/e3eck8l4iIiLduBh4J3h+CTCY6JScs4AbUxVUNquOM810UlkJoZAGvYtIVuhvXpkPTAt2IS0ALgTmdnMOAGY23MwKg+flwInAMnd34CmgdQfUS4EHe9YduSnOaLdhJflccnxlagISkayU8O1Z3L0FmGxmWoVSRERSqdHdW9cXnQ3c5e6NwaLVBSmMK2vFW99NGyuISBbpV14J1mG7hui6cG8A97r7UjP7vpmdC2BmR5vZOuBjwO/MbGlw+iHAAjN7hWih7QZ3Xxa8903gq2a2nGgh8NaE9DbLrdlWz18XdRzt9pmTD2CwRruJSAIl61+UlcCzZvYgsO+ncHf/RZLuJyIi0l6jmR0IbCG64c+1Me8Vpyak7LZqa8cdTbWxgohkkX7nFXd/GHi4Xdt1Mc/nE50u2v68F4DDOrnmSqI7pkov3PTUcprjjHa79ITK1AQkIlkrWYW3NcGjJHiIiIgMtK8BjwJlwK/cfQWAmZ0DLO3qROmbuDuaamMFEckeyitZYm1NPX9ZtK5D+5UnTdZoNxFJuKT8q+Lu/wlgZoXu3pCMe4iIiHTF3Z8FDojT/hDw0MBHlP2qt8Ub8abCm4hkB+WV7PHrpzuOdhtarNFuIpIcCV/jDcDMjgm2t34neH2Emf0yGfcSERHpipmVm9lNwfIHmNkhZnZxquPKRvHXeNPAdxHJLsorma2mrpG/xFnb7cqTJjOkSMuUi0jiJaXwBvwC+ADR7a1x91eA05J0LxERka7MAV4GKoPXy4GvpyqYbLW9vpHt9U1t2vLDxrhhWk5PRLLOHJRXMtafF6ylsTnSpq20KI9LT6xMTUAikvWSVXgLufvqdm0tSbqXiIhIV0a7+x1ABMDdm1qfS+LEm2Y6oayEcMhSEI2ISFIpr2SoSMS58+U1HdovOmYipRrtJiJJkqyVI9ea2TGAm1kY+ALwdpLuJSIi0pV6MxsGOICZHQnsTm1I2SfeNNPJWt9NRLKT8kqGeuadLayp6fhB0SeOnZiCaEQkVySr8PZ5otNNJwKbgSeCNhERkYH2DaKLXk82syeJTg36WEojykLVWzv+IjNJhTcRyU7KKxnqjy+1n5QFpxw4UvlKRJIqWbuabgYuTMa1RUREesPdXzaz04EZgAGvu/veFIeVdVZt7TjYo7JcGyuISPZRXslM62rr+eebmzu0X3zcpBREIyK5JFm7mlaa2f1mtjF4/MXMKpNxLxERka6Y2ZVAsbsvdPcFQLGZXZHquLLJ/OoaHnptQ4d2jSAQkWykvJKZ7pq3hoi3basYVsxpB49KTUAikjOStbnCXcBcolNNJwJ/C9q6ZGa3mdlmM3s9pq3MzJ4ws3eCr8ODdjOzX5jZcjN7NVhbQUREpL1r3H176wt3rwWuSWE8WWXNtno++4eFNLW0/W0mP2wcOq40RVGJiCSV8kqGaWyOcM/8tR3aP3HsRG0CJCJJl6zC2yB3/727NwaPOUBP5pvMAWa3a7sWeNLdpwFPBq8BzgamBY+rgN8kInAREck6bXKdmRmgrcsSYOfeJi6/fT41dY0d3rugagLlgwtTEJWISNIpr2SYR5duZOvutrkqP2xcUDUhRRGJSC5J6BpvZtb60fbDZvY14G6iu/18nOgCpF1y92fiTEk9Dzg1eH478DTwzaD9Dnd34CUzG2ZmY92941yXfqq8ttvQRUQyRvUN56Q6hIH2TzP7I/s/oPkc8M8UxpMVmlsiXPOnxSzf3HFtt1kTh/GfH5iegqhERAaE8kqG+eOLHTdVmD1jLCOH6AMiEUm+RG+usJRooa11vO6XYt5z4Nt9uObomGLaRmB08LwCiB0vvC5oS3jhTUREMtrXgC8A3wpePwH8OnXhpK91tfXc9NRy1tTUM6Qwn2El+QwrKWB4ST5DivIxg4g7EYf5q2p45u0tHa5RMayYmy+uoig/nIIeiIgMCOWVDPLmxp3Mq67p0K5NFURkoCS08ObuSR2r6+5uZt79kW2Z2VVEp6MyceLEhMclIiLpy92bgZ8Gj14xs9nAz4EwcIu739Du/a8CVwLNwBbgcnfv+LF6Bnht3Q4uue1lauub+nyNQQVhbr2sSiMIRCSrJTmvvAf4GXA4cKG73xe0zyQ6wq4UaAF+4O73BO/NAU4BdgSXuczdl/S+Z9npzpfWdGg7cPRgjq4cnoJoRCQXJXrEGwBmFiK6Vltl7D3c/Rd9uNym1imkZjYWaN0Dej0QW+gbH7R14O43AzcDVFVV9bpwJyIimcvMjgauAybRNid1ORfSzMLATcB7iY6qnm9mc919Wcxhi4Eqd683s88DNxJdXiGjzFtVw+Vz5rO7obnP1wgZ/PITszh4jDZUEJHsluS8sga4jOioulj1wCXu/o6ZjQMWmtljMZs8fL21SCf77Wls4a+L1nVov/i4SUSX5hMRSb6kFN7+P3t3Hl53WeZ//P1J0jRtujctLV1oS8GyyNZS9kUQLYwOiqiACAiKo+I2g4qOouLguPxmRh1xKbKOICCCVgUroiiytgUKlEVbKCUt3femSZrk/v1xvsWTnJM2Tc7JWfJ5Xde5cs7z3e7HhtzmzrMAvyI1tfQZoK2H95oDXAh8I/n6q7T2yyTdBhwFbMrH+m5mZlbybia11MECUqMEumomsDgiXgJI8s2ZwOu/IEXEn9LOfxQ4v8fR9rIHXlzNv/x0AY07epauv3DGAZwyba/dn2hmVvrymVeWJsfa/VCOiL+lvV8haTUwCtiIdeqhxWvZ1tz+n6i2upJ3HD6uQBGZWV+Ur8LbpIh4455eJOlnpDZSqJNUD3yZVMHtDkmXAK8A70lOvwc4A1hM6i9AH8hB3Fn1wYXIzczKyZaIuLsb12VbS/SoXZx/CXBvtgPFuuTBvc+8xidue5IdrT0bDH7BMftwyfGTcxSVmVnR6628kpWkmUA1sCSt+WpJVwL3A1dERFM34is7f3h+VUbbrIPHMrjGm9CaWe/JV+FtrqRTImKPdveJiHM7OXRqlnMD+Fh3gjMzsz7lfklfA+4CXv9FpMPUnh6RdD4wg9QaOxmKccmDu56o5/KfL6QtSzT7jR7EZadMZXNjCxu3NbNx+w62NrYggSQqBBUS1VUVHDlpBG89aC9P2TGzviTveaUzydI7/wdcGBE7R8V9ntQmdNWkcs3ngKuyXFuUfwTKl7a24P4XVme0n3bg6AJEY2Z9Wb4Kbw8Cv042QmgmtctpRMSIPD3PzMysMycnX9+c1hbAsbu5rktriUp6M/DvwEmlMsLghZWb+eydT2ctur1x3FBuungmI2qrez8wM7PScHLyNS95pTOShgC/Bf49Ih59/cH/WG6nSdINZK4Pt/O8ovsjUD49s3wTa7a0T8vVlRWcsN+oAkVkZn1Vvgpv3wFOIDdrvJmZmXVbRBzTzUvnAftJmkzqF6NzgPPST5B0OPBjYFZEZP5ZvUh9/4+LaclSdZs5aQTXXTTDU3DMzHYhn3mlM5KqgbuBmztuopC2EZ2AdwDPdjO+snJ/lmmmR+87ktr++foV2Mwsu4o83bceeDIidkRE685Xnp5lZmbWKUl1kq6R9Mvk8wGS3r+76yKiBbgMmAs8D9wREYskXSXpn5PTvg0MAn4u6SlJc/LUjZxZunYb9zyTuRfRSfuP4qaLZ7roZma2G/nMK5KOTNa6fjfwY0mLksvfA5wIXJTkm6ckHZYcu0XSM6QGPdQB/5HD7pasPzyfZZrpAZ5mama9L1/l/sXAHyXdQ/t1D76Xp+eZmZl15kbgDuDfks+LgdtJrZGzSxFxD6nNfNLbrkx7/+aMi4rcj//yUsYU01GD+/Pj90+npl9lYYIyMystN5K/vDKP1BTUjtf9FPhpJ/c8pYtx9xkrNm7nudc2Z7SfcoB33zaz3pfPEW9/BYaQ2uZ658vMzKy37RURN5MsfRARO+ijyyCs3tzILxbUZ7R/8PjJLrqZmXWd80qRy7apwgFjhzBu2IACRGNmfV1eRrxFxJfycV8zM7NuaJA0jNTC10g6Atha2JAK47qHXqa5tf3vhoNrqjjvqPLf3c7MLIecV4pctvXd3uxppmZWIHkpvEm6jyQRpYuIt+TjeWZmZrvwWVK7wE2WdD8widTaOX3Kpu07uOXRZRntFxyzj9d1MzPbM84rRWxbUwsPL1mX0X6qp5maWYHka423L6a9rwHeRdpab2ZmZr1BUgXQApwCHAwIeDYiGgsaWAH89NFX2NrU0q6tf1UFFx07uUARmZmVHueV4vfg39fS3NJ+dPeowf05ZNzQAkVkZn1dvqaaPtah6XDH2uMAACAASURBVM+SOraZmZnlVUS0SbouIg4DFhQ6nkJp3NHKDQ+9nNH+nhkTGDW4fwEiMjMrTc4rxS/bNNNT3jCaigoVIBozszxtriBpSNprmKRTgeH5eJaZmdlu/EXSPxU6iEL6+YJ61m5tbtdWWSEuPXFKgSIyMytpfT6vFKu2tuBPL2ZurHCq13czswLK11TTRaTWeBOpodgvAx/K07PMzMx25TzgMkkNQAOp3BQR0Sf+X3hLaxuz/7Iko/1th4xlwoiBBYjIzKzk9em8Usyeqt+Y8Yem/lUVHL9fXYEiMjPL31TTCfm4r5mZWTeMK3QAhXTvsyt5df32jPaPnLxvAaIxMysLfTqvFLNs00yPm1rHwOp8jTcxM9u9nP4EknTsro5HxMO5fJ6ZmdnuRESTpLOBfSPim5LGAaOApwocWq/4xRP1GW2nTBvNtDFDChCNmVnp6+t5pZjd/7ynmZpZ8cl16f9LWdoCOAgYD1Tm+HlmZma7JOl7QC1wLPBNoBGYDcwsZFy9YVPDDv7697UZ7R88wTuZmpl1V1/OK8Vs2boGXli5JaP91Gl7FSAaM7N/yGnhLSJOT/8s6Sjgi8Bq4FO5fJaZmVkXnRARh0t6EiAi1knqE1t5zn1uJS1t0a5tzJAajp48skARmZmVhT6bV4rZTY8szWg7eNwQxgyt6fVYzMzS5WWyu6STSI1+qwGujoh78/EcMzOzLmiWVEFqBDaSRux8X+5++/RrGW1nvHEsFRUqQDRmZmWjz+aVYrVp+w5ue3xZRvsZbxxbgGjMzNrL9RpvbwX+HWgC/iMiHsjl/c3MzLrhR8DPgTpJXwLOAb5e2JDyb2NDMw8tzpxm+k+HjClANGZmZaVP5pVidutjy9jW3NqubUC/Ss49cmKBIjIz+4dcj3i7F3gVeAL4hKRPpB+MiLNy/DwzM7NdiogbJC0ATgMEnBcRCwscVt79ftGqjGmmY4fWcPiE4QWKyMysPPTVvFKsmlvauOGhlzPa3zNjPMNrqwsQkZlZe7kuvJ2W4/uZmZn1WEQ8LameJO9JGh0RmVuflZHfPONppmZm+dLdvCJpFvBdUpvO/SQivtHh+InAd4BDgHMi4s60YxeSWj8bUrOLbkrapwM3AgOAe4BPRkSfmfo6Z+EKVm9patdWIbjk+CkFisjMrL1cb65wP4CkGqA5ItqSzxWA/9xgZma9TtKHgf8ANgOtpEYnBLB/IePKpw3bOptm6rVuzMx6qrt5RVIlcA2pwQr1wDxJcyLiubTTlgEXAZd3uHYE8GVgRvKsBcm1G4AfAh8CHiNVeJtFaiZS2YsIrv3LSxntpx88lokjBxYgIjOzTHnZXAH4E/AWYOd+zrXAXFJbbpuZmfWmzwAHR8SqQgfSW+YuWklrh2mmew+t4fAJwwoUkZlZWeluXpkJLI6IlwAk3QacCbxeeIuIpcmxtg7XvhW4LyLWJ8fvA2ZJegAYEhGPJu03A++gjxTe/vy3Nby4aktG+4dO9Gg3MyseFXm674CIeP0nYPLef3IwM7NCWA6sKXQQvem3nUwzlTzN1MwsB7qbV8aRWg97p/qkrSfXjkve7/aeki6VNF/S/DVryiMtXvtg5mi3mZNHcJj/0GRmRSRfI94aJB26c5FRSYcBjXl6lpmZWQZJH03evgj8QdKvSe26DUBE/KAggeXZ+m3NPLxkXUa7p5mamfVMqeeViJgNzAaYMWNGya8B9+zyTTy0ODPfXXqCR7uZWXHJV+Ht08Ddkl4htebBBODcPD3LzMwsmwnJ13XJa3QBY+k12aaZjhs2wH/9NzPruZ7mleVp9wAYn7R19dqTO1z7QNI+vpv3LGk/yTLabcqoWk6Z1ifSvZmVkLwU3iLiMUkHAAckTc9FRHNP7inpk6QWDRVwbUR8JxlJ9yOgBmgBPhoRj/fkOWZmVh4i4vPpnyVVJ+09ykfF7rdPZ04z/adDPM3UzKyncpBX5gH7SZpMqjh2DnBeF6+dC3xd0vDk81uAz0fEekmbJR1NanOFC4D/7eI9S9byjdv5dZZ896ETpnj3bjMrOjld403SScnXfya1AOjE5DUraevufQ8mVXSbCRwKvE3SVOBbwFcj4jDgyuSzmZnZ6yS9QdIjwCvAK5IekvSGQseVD+u2NvHwkszdTM94o6eZmpnlSnfzSkS0AJeRKqI9D9wREYskXbXzdyVJR0qqB94N/FjSouTa9cDXSBXv5gFX7dxoAfgo8BNgMbCEPrCxwk0PL80Y3V03qJp3Ht7VJfPMzHpPrke8nQb8mVSi6CiAOd287wHAYxHRACDpz8BZyT2HJOcMBVZ08/5mZla+fkLqF5R7ASTNStpOKGhUeTB30So6/B7CuGEDOHT80MIEZGZWnrqdVyLiHuCeDm1Xpr2fR/upo+nnXQ9cn6V9PnDwHsRf0rY2tfCzx5ZltF9wzCRq+lUWICIzs13LaeEtIr6YfH1/Lu8LPAtcLWkksB04A5gPfAqYK+n/kRq9d2yOn2tmZqVv6M5fjgAi4neSvlnIgPLljy+szmh7m6eZmpnlWp/JK8XojnmvsqWppV1bTb8Kzj96nwJFZGa2azmdarqTpOGS/lvS45Iek/RfaesR7LGIeB74JvB74HfAU0Ar8BHg0xExgdSGDtd1Ek/ZbZ1tZmZd9oqkz0gak7wuBzL/VF4GXlm3LaPttAP3KkAkZmZlrc/klWLT2hZc/9DLGe3vOmI8I2qrCxCRmdnu5aXwBtwGbAHeB5wPbAZu78kNI+K6iJgeEScCG4C/ARcCdyWn/JzUGnDZrp0dETMiYsaoUaN6EoaZmZWeDwD7AX8E7gemJm1lZ+Xmxoy2fUbWFiASM7Oy1mfySrH5/aKV1G/YntF+8fGTCxCNmVnX5GVXU2BcRHw57fNXJT3bkxtKGh0RqyVNJLW+29HAx4GTSG2lfQrw9548w8zMykey29zAiFgLXJrWPhzYWrDA8qShuYUtje2n3vSrFCM9AsDMLCf6Wl4pRj/5a+Zot1OmjWbfUYMKEI2ZWdfka8Tb/ZLO3vlB0lnAfT285y8kPQf8GvhYRGwktdPpf0laCHydtARoZmZ93ndI7bDd0WnA//RyLHm3clPmaLfRg2uoqPD6bmZmOdKn8kqxeWLZBha8siGj/YMe7WZmRS5fI94uAD4uaeef3quATZIuAiIiRuzpDSMiY5egiPgrML0ngZqZWdk6KiI+2rExIu6Q9OVsF5SybNNM9xrSvwCRmJmVrT6VV4rNdVlGux0wdgjH7DuyANGYmXVdvgpvdXm6r5mZWVcN2MWxfI34LphVWQtvNQWIxMysbPWpvFJMXl3fwL3PvJbR/sHjJ3vnbjMrenlJEBHRSmoY9tXJ67SIaN35ysczzczMOlgv6fCOjZIOA9Z35QaSZkl6UdJiSVdkOX6ipCcktaQvsVAIKzc1ZbS58GZmllM9zivWPTc9vJS2aN82enB/3n7o3oUJyMxsD+RlxJukq4HjgFuTps9KOj4ivpiP55mZmWXxOeBuST8CFiRtM0itB3r+7i6WVAlcQ2rtnnpgnqQ5EfFc2mnLgIuAy3MYd7dkG/E2ZqgLb2ZmOdSjvGLds6VxB7fNezWj/cJjJ1Fd5YGGZlb88jXV9O3A4TtHt0m6HngCcOHNzMx6RUQ8JOlY4JPAp5LmRcDxEbG8C7eYCSyOiJcAJN0GnAm8XniLiKXJsbYcht4t2TZXGOMRb2ZmOZODvGLdcMNDS9na1H7X7pp+FZw3c2KBIjIz2zP5KrwBDAF2bjszOI/PMTMzyyoiVpAaoQCApEFAV+eljAPS/8ReDxyVu+hyK/vmCi68mZnlUg/ziu2hpWu38f0/Lc5of9cR4xleW12AiMzM9ly+xuZ+C3hC0k8kXQfMB76Rp2eZmZl1StLvJQ2RNAx4Gvi5pF7NSZIulTRf0vw1a9bk5Rmeampm1juKIa/0BRHBF3/5LM0t7QeVV1aIS46fXKCozMz2XE4Lb5ImAkTET4HjgXuA3wInRsStu7rWzMwsT0ZFxGbgLODWiDgUOKML1y0HJqR9Hp+07bGImB0RMyJixqhRo7pzi11qawtWb8ncXMFTTc3M8qK7ecX2wK+eWsFfF6/NaL/k+MlMGTWoABGZmXVPrke8/XLnm4hYHhF3JS+veWBmZoXST9II4Gzg13tw3TxgP0mTJVUD5wBz8hFgT63d1kRrh+3ehtRUMaC6skARmZmVte7mla7slt1f0u3J8cckTUra3yfpqbRXW7KbKpIeSO6589jonnexsDY2NPO13zyX0T5u2AA+9eb9ChCRmVn35brwphzfz8zMrKf+E3gEWBkRj0maQmo30l2KiBbgMmAu8DxwR0QsknSVpH8GkHSkpHrg3cCPJS3KWy92YdWmLKPdPM3UzCxfupVX0nbLPh04EDhX0oEdTrsE2BARU4H/Ab4JEBG3RMRhEXEY8H7g5Yh4Ku269+08HhGre9rBQvvGvS+wbltzRvtVZx7EwOp8LlNuZpZ7uf6pNU7S9zo7GBGfyPHzzMzMdikibgFuSfv8EvC2Ll57D6llE9Lbrkx7P4/UFNSC8sYKZma9pwd5Zbe7ZSefv5K8vxP4viRFRPqw5nOB27rdgSL3+MvruW3eqxntZ7xxDKcesFcBIjIz65lcF962AwtyfE8zM7NuS6YDXQRMIi3vRcRHCxRSzmUrvHl9NzOz/OhBXunKbtmvnxMRLZI2ASOB9MXO3kuqQJfuBkmtwC+A/+hQqNsZ96XApQATJ07cTaiF0dzSxhfufiajfVD/Kr789oMKEJGZWc/luvC2LiJuyvE9zczMeuJXwBOkdthuLXAsebFqk3c0NTPrRQXLK5KOAhoi4tm05vdFxHJJg0kV3t4P3Nzx2oiYDcwGmDFjRkZhrhh8e+4LLF69NaP9s7Pe4JHcZlaycl14y5yIb2ZmVlhDIuKThQ4in7KNeBvtX1DMzPKlu3mlK7tl7zynXlIVMBRYl3b8HOBn6Rfs3MguIrZIupXUlNaMwluxu/WxZVz74MsZ7YdOGMb7jtqnABGZmeVGTjdXiIijAZRyvqQrk88TJc3M5bPMzMy6aK6kUwodRD6t8lRTM7Pe1N280pXdsucAFybvzwb+uHPaqKQK4D2kre8mqUpSXfK+H6m15p6lxPzlb2v40q8yw66sEF9/58FUVngPPzMrXbne1XSnHwDHkFr4E2ALqR18zMzMetsHgD9I2iRptaQ1kkp+x7d0K7NNNXXhzcwsX7qVV7qyWzZwHTBS0mLgX4Er0m5xIvDqzs0ZEv1JFQKfBp4iNWLu2p52sDe9uHILH73lCVrbMme//ttb9uegvYcWICozs9zJ117MR0XEEZKeBIiIDclfdczMzHpbwXcdzbesu5oO7V+ASMzM+oRu55Uu7JbdCLy7k2sfAI7u0LYNmN7deApt9ZZGLr5xHlubWjKOvXv6eD5y0r4FiMrMLLfyNeJth6RKYOew6FFAW56eZWZm1qmIaALeDnwqeV8HHFDYqHKnobmFLY3tf2GpqhB1tS68mZnlQ7nnld6yvbmVD900n+Ubt2ccO2bKSK5+5xuRPMXUzEpfvgpv3wPuBkZLuhr4K/D1PD3LzMysU5K+B5wOXJQ0NZLs6lYOsk0zHT24PxVeD8fMLC/KPa/0lv+893kW1m/KaN93VC0/On861VX5+lXVzKx35WWqaUTcImkBcCog4B0R8Xw+nmVmZrYbJ0TE4WnLH6yTVDbDwbJPM/X6bmZmeVTWeaU3rNvaxG2Pv5rRPrK2mhsumsnQgf0KEJWZWX7kpfCW/BXotojwhgpmZlZozclOcDuXPxix83058I6mZma9rqzzSm+4Y349za3tVyKqrqpg9gUzmDhyYIGiMjPLj3yN310AfFHSEkn/T9KMPD3HzMxsd34E/Byok/Ql4EHg/xU2pNxZuakpo20vF97MzPKprPNKvrW2Bbc89kpG+8XHTWb6PsMLEJGZWX7la6rpTcBNyV9/3gV8U9LEiNgvH88zMzPrTETckCx/cBqp5Q/Oi4iFBQ4rZ7KOePNUUzOzvCn3vJJvf/nbGuo3tN9QQYL3HTWxQBGZmeVXXgpvaaYC04B9AK/xZmZmvU7S+RHxU+DptLavRMRXChdV7niqqZlZ7yr3vJJvP300c7TbyfuPYsIITzE1s/KUrzXevgW8E1gC3A58LSI25uNZZmZmu3GhpMaIuBNA0n8DowscU85k3VzBhTczs3wq67yST6+ub+CPL67OaD//6H0KEI2ZWe/I14i3JcAxEbE2VzeU9EngQ6SGc18bEd9J2j8OfAxoBX4bEZ/N1TPNzKwsvBP4taRW4AygDXh/YUPKnVWbshXevLmemVkelXVeyaefPb6M6LANxbhhAzj5Da5bmln5ymnhTdK0iHgBmAdMlNRuon5EPNHN+x5Mqug2E2gGfifpN8AE4Ezg0IhokuSf2GZmBoCknXNW2oDzgHuAh4DPAgOAhgKFljNtbcHqLZmbK3iNNzOz3OsLeSWfmlvauGP+qxnt5x01kcoKFSAiM7PekesRb/8KXAr8V5ZjAZzSzfseADwWEQ0Akv4MnAXMAL4REU0AEZE5btnMzPqqJaRyj9K+vit5BbB34ULLjbXbmmhpaz90YHBNFQOr872Eq5lZn1T2eSWffrdoJWu3Nrdr61cp3nvkhAJFZGbWO3L6/8wj4tLk7ekR0W7ui6Se/Pn9WeBqSSOB7aSGdM8H9gdOkHQ10AhcHhHzevAcMzMrExExttAx5NuqTVlGu3l9NzOzvOgLeSWfsm2qMOvgsdQN8vIIZlbe8vUn8YeBI7rQ1iUR8bykbwK/B7YBT5Fa060KGAEcDRwJ3CFpSkT7lQMkXUpqJB4TJ3qbajOzvkRSJXAJcGLS9ABwQ0S0FiyoHMm2sYKnmZqZ5Vc555V8+duqLTz+8vqM9vOP8u9mZlb+KnJ5M0ljJE0HBkg6XNIRyetkoEf7Q0fEdRExPSJOBDYAfwPqgbsi5XFS6y3UZbl2dkTMiIgZo0aN6kkYZmZWer5PaqmDW5PXKUlbyfOOpmZmBdHtvCJplqQXJS2WdEWW4/0l3Z4cf0zSpKR9kqTtkp5KXj9Ku2a6pGeSa74nqegWTMs22m3/vQYxc/KIAkRjZta7cj3i7a3ARcB4Uuu87fyhvxn4Qk9uLGl0RKxONmw4i9QotzbgTcCfJO0PVAM520nVzMzKwrERcWja53skLSxYNDmUbUdTTzU1M8u7buWVZKTcNcBppAYQzJM0JyKeSzvtEmBDREyVdA7wTeC9ybElEXFYllv/kNRGdI+R2vBhFnDvnnYqXzY37uCuJ5ZntJ9/9D4UYY3QzCzncr3G203ATZLeFRG/yOW9gV8ka7ztAD4WERslXQ9cL+lZUrudXthxmqmZmfV5bZImRsQyAEkTSP3hpuRlHfHmqaZmZvnW3bwyE1gcES8l190GnAmkF97OBL6SvL8T+P6uRrBJGgsMiYhHk883A++giApvtzy6jK1NLe3aBlZX8s7DxxUoIjOz3pWvNd6mS7o/IjYCSBoO/FtEfLG7N4yIE7K0NQPndz9MMzPrAz4PPCRpEamR2NNIjQwoeauyrfHmEW9mZvnW3bwyDng17XM9cFRn50REi6RNwMjk2GRJT5KaTfTFiHgwOb++wz2zVrQKse51445Wrn/o5Yz2s44Yx+Cafr0Sg5lZoeWr8HZ6RLw+tTQiNkg6A+h24c3MzGxPSDoyIuZFxO8kTQMOSg4tiohthYwtV1Z6qqmZWa8pcF55DZgYEeuSNbV/Kemg3V2ULiJmA7MBZsyY0SuzhO56YjlrtrTfgbtCcOkJ+/bG483MikK+Cm+VkvpHRBOApAGA94k2M7Pe9GOS3bSTX4geL2w4uZd9qqnTrZlZnvQ0rywHJqR9Hp+0ZTunXlIVMBRYlyyn05Q8e4GkJcD+yfnjd3PPgmhtC2b/ZUlG+z8dsjcTR/Zo3z0zs5KS011N09wC3C/pEkkfBO4DbsrTs8zMzPqchuYWtjS2XzOnskLU1brwZmZWpOYB+0maLKkaOAeY0+GcOcCFyfuzgT9GREgalWzOgKQpwH7ASxHxGrBZ0tHJWnAXAL/qjc7sztxFK1m6riGj/cMnTilANGZmhZOXEW8R8c1kZ583AwHMBfbJx7PMzMw6MUXSXZ0djIizejOYXMs2zXT04P5UVHiHODOzPOlRXknWbLuM1O9GlcD1EbFI0lXA/IiYA1wH/J+kxcB6UsU5gBOBqyTtILWRw79ExPrk2EeBG4EBpDZV6NWNFVpa29jRGgyorny9LSL40Z8zR7udsF8dB48b2pvhmZkVXL6mmgKsIlV0ezfwMpDrXU7NzMx2ZQ1wTaGDyJes00y9vpuZWT71OK9ExD3APR3arkx730jq96eO1/2CTn6fioj5wME9ias72tqC//3jYq55YDFtbcFbDx7D5946jYkjB/LwknU8Xb8p45qPnOS13cys78lp4U3S/sC5yWstcDugiHhTLp9jZmbWBVsi4v5CB5Evqzc3ZbR5YwUzs7wq67yyJ5pb2vjMnQv51VMrXm/77dOvcd+iVXzwhMk8uWxjxjWHjh/KMfuOzGg3Myt3uR7x9gLwIPC2iFgMIOnTOX6GmZlZV7xa6ADyKduItzFDXXgzM8ujss4rXbW1qYWP/HQBD/59bcax5tY2fvBA5hRTgH85aV9Sy9CZmfUtuS68nUVqHYI/SfodcBvgn65mZtbrIuJMAEn9gQ8Dx5NaAuGvwOydO2+XqmxrvHmqqZlZ/pR7XumKtVubuPjGeVmnke7K5Lpa3nLQmDxFZWZW3HJaeIuIXwK/lFQLnAl8Chgt6YfA3RHx+1w+z8zMrAtuApqAa5PP5yVt53R6RULSLOC7pBbB/klEfKPD8f7AzcB0YB3w3ohYmrPIge3Nrdz6+LKM9nlL12e0jRnqHU3NzHpBt/NKKXt1fQPvv+6xrDuV7s6lJ06h0pv/mFkfla9dTbcBtwK3ShpOaoHQzwEuvJmZWW87JCIOTPt8n6TndneRpEpSi2ifBtQD8yTNiYj0ay8BNkTEVEnnAN8E3pvD2GlobuFrv9ltuIBHvJmZ9ZJu5ZVStmjFJi66YR5rtmQO6qsQvP3Qvbn32ZU0t7RlHB89uD9nHTGuN8I0MytKFfl+QERsiIjZEXFqvp9lZmaWxUJJR+78IGk68GQXrpsJLI6IlyKimdTyCWd2OOdMUqMcAO4ETlUBF7Dx5gpmZr2iu3mlJD3+8nrO+fGjWYtu/asq+PH7Z/Ddcw7nD58+iVlZppN++rT96V9V2RuhmpkVpbyMeDMzMysibwQek/RS8nky8LykJ4GIiCM6uW4c7RfSrgeO6uyciGiRtAkYSWpn79dJuhS4FGDixIk96ErnBlZXsvewAXm5t5mZtdPdvFKS6gZV06+qIjW5Ns3QAf247sIZzJg0AoCJIwfyo/dP5+Ela7n1sWUs37iddxw2jnNn5ifvmZmVChfezMys3HUcpdbrImI2MBtgxowZkY9nXHjsJGr6eUSBmVkvKHhe6U1TRg3ihouO5NxrH6WhuRWAsUNruOnimey/1+CM84/dt45j963r7TDNzIqWC29mZlbWImKJpIOAE5KmByNiURcuXQ5MSPs8PmnLdk69pCpgKKlNFnKmpl8lHzhuUqfH+1VWMH2f4bzlwL1y+VgzM+tED/JKyTp0wjB+dP50Lr5xHpPqarn54pkeZW1m1kUuvJmZWVmTdBnwUeCXSdMdkq6JiB/s5tJ5wH6SJpMqsJ1Daue6dHOAC4FHgLOBP0ZETke01fav4stvPyiXtzQzsx7oQV4paSfuP4prL5zB4ROGMWxgdaHDMTMrGS68mZlZubsUmBkRWwEkfR14GNjlL0jJmm2XAXOBSuD6iFgk6SpgfkTMAa4D/k/SYmA9qeKcmZmVt27llXLwpjeMLnQIZmYlx4U3MzMrdwKa0z7vSNp2KyLuAe7p0HZl2vtG4N05iNHMzEpHt/OKmZn1PS68mZlZWZJUFREtwP+R2n3uF8mhdwI3FS4yMzMrRc4rZmbWHS68mZlZuXocOCIiviXpAeD4pP1fImJe4cIyM7MS5bxiZmZ7TDleA7roSVoDvNKFU+uAtXkOp7eUU1/A/Slm5dQXKK/+9KQvawEiYlbuwsk/SU9GxOGFjqOjPpqHoLz6U059AfenmJVTX6Bn/dknIkblMpg9Vax5pTv6aC4qp76A+1PMyqkvUF796WlfupWL+lzhraskzY+IGYWOIxfKqS/g/hSzcuoLlFd/yqkvXSWpHvjvzo5HRKfHikG5/ZuVU3/KqS/g/hSzcuoLlH5/Sj2vdEep/5ulK6e+gPtTzMqpL1Be/SlUXzzV1MzMylUlMAgveG1mZrnhvGJmZnvMhTczMytXr0XEVYUOwszMyobzipmZ7bGKQgdQxGYXOoAcKqe+gPtTzMqpL1Be/SmnvnRVqY9IKLd/s3LqTzn1BdyfYlZOfYHS70+p55XuKPV/s3Tl1Bdwf4pZOfUFyqs/BemL13gzM7OyJGlERKwvdBxmZlYenFfMzKw7XHgzMzMzMzMzMzPLA081NTMzMzMzMzMzywMX3jqQNEvSi5IWS7qi0PHsKUnXS1ot6dm0thGS7pP09+Tr8ELG2FWSJkj6k6TnJC2S9MmkvVT7UyPpcUkLk/58NWmfLOmx5HvudknVhY61qyRVSnpS0m+Sz6Xcl6WSnpH0lKT5SVtJfq8BSBom6U5JL0h6XtIxpdyfvsa5qHg4FxU/56Li5DxU2pyHiofzUPFzHipexZKLXHhLI6kSuAY4HTgQOFfSgYWNao/dCMzq0HYFcH9E7Afcn3wuBS3Av0XEgcDRwMeSf49S7U8TcEpEHAocBsySdDTwTeB/ImIqsAG4pIAx7qlPAs+nfS7lvgC8KSIOi4gZyedS/V4D+C7wu4iYBhxK6t+plPvTZzgXFR3nA3QtTgAAIABJREFUouLnXFScnIdKlPNQ0XEeKn7OQ8WrOHJRRPiVvIBjgLlpnz8PfL7QcXWjH5OAZ9M+vwiMTd6PBV4sdIzd7NevgNPKoT/AQOAJ4ChgLVCVtLf7HizmFzCe1A+qU4DfkNrpqyT7ksS7FKjr0FaS32vAUOBlknU8S70/fe3lXFTcL+ei4no5FxXny3motF/OQ8X9ch4qrpfzUPG+iikXecRbe+OAV9M+1ydtpW6viHgteb8S2KuQwXSHpEnA4cBjlHB/kmHITwGrgfuAJcDGiGhJTiml77nvAJ8F2pLPIyndvgAE8HtJCyRdmrSV6vfaZGANcEMy7P0nkmop3f70Nc5FRcq5qCg5FxUn56HS5jxUpJyHipLzUPEqmlzkwlsfE6mybkltZStpEPAL4FMRsTn9WKn1JyJaI+IwUn8ZmQlMK3BI3SLpbcDqiFhQ6Fhy6PiIOILUtIqPSTox/WCJfa9VAUcAP4yIw4FtdBhCXWL9sTJTit9/zkXFx7moqDkPWVErxe8/56Hi4zxU9IomF7nw1t5yYELa5/FJW6lbJWksQPJ1dYHj6TJJ/UglmFsi4q6kuWT7s1NEbAT+RGro8TBJVcmhUvmeOw74Z0lLgdtIDa3+LqXZFwAiYnnydTVwN6n/E1Cq32v1QH1EPJZ8vpNU0inV/vQ1zkVFxrmoaDkXFS/nodLmPFRknIeKlvNQcSuaXOTCW3vzgP2SXUiqgXOAOQWOKRfmABcm7y8ktS5A0ZMk4Drg+Yj477RDpdqfUZKGJe8HkFqb4XlSyebs5LSS6E9EfD4ixkfEJFL/nfwxIt5HCfYFQFKtpME73wNvAZ6lRL/XImIl8KqkNyRNpwLPUaL96YOci4qIc1Hxci4qXs5DJc95qIg4DxUv56HiVky5SMmCcpaQdAapedqVwPURcXWBQ9ojkn4GnAzUAauALwO/BO4AJgKvAO+JiPWFirGrJB0PPAg8wz/mzH+B1JoGpdifQ4CbSH1vVQB3RMRVkqaQ+gvJCOBJ4PyIaCpcpHtG0snA5RHxtlLtSxL33cnHKuDWiLha0khK8HsNQNJhwE+AauAl4AMk33eUYH/6Guei4uFcVBqci4qP81Bpcx4qHs5DpcF5qDgVSy5y4c3MzMzMzMzMzCwPPNXUzMzMzMzMzMwsD1x4MzMzMzMzMzMzywMX3szMzMzMzMzMzPLAhTczMzMzMzMzM7M8cOHNzMzMzMzMzMwsD1x4M+smSVuTr5MknZfje3+hw+eHc3l/MzMrfc5DZmZWaM5FZrvnwptZz00C9ijJSKrazSntkkxEHLuHMZmZWd8xCechMzMrrEk4F5ll5cKbWc99AzhB0lOSPi2pUtK3Jc2T9LSkDwNIOlnSg5LmAM8lbb+UtEDSIkmXJm3fAAYk97sladv5lyQl935W0jOS3pt27wck3SnpBUm3SFIB/rcwM7Pe5zxkZmaF5lxk1ondVZjNbPeuAC6PiLcBJMliU0QcKak/8JCk3yfnHgEcHBEvJ58vjoj1kgYA8yT9IiKukHRZRByW5VlnAYcBhwJ1yTV/SY4dDhwErAAeAo4D/pr77pqZWZFxHjIzs0JzLjLrhEe8meXeW4ALJD0FPAaMBPZLjj2elmAAPiFpIfAoMCHtvM4cD/wsIlojYhXwZ+DItHvXR0Qb8BSp4d5mZtb3OA+ZmVmhOReZJTzizSz3BHw8Iua2a5ROBrZ1+Pxm4JiIaJD0AFDTg+c2pb1vxf99m5n1Vc5DZmZWaM5FZgmPeDPruS3A4LTPc4GPSOoHIGl/SbVZrhsKbEgSzDTg6LRjO3Ze38GDwHuTNRNGAScCj+ekF2ZmVqqch8zMrNCci8w64eqvWc89DbQmw6NvBL5LakjzE8linmuAd2S57nfAv0h6HniR1NDqnWYDT0t6IiLel9Z+N3AMsBAI4LMRsTJJUmZm1jc5D5mZWaE5F5l1QhFR6BjMzMzMzMzMzMzKjqeampmZmZmZmZmZ5YELb2ZmZmZmZmZmZnngwpuZmZmZmZmZmVkeuPBmZmZmZmZmZmaWBy68mZmZmZmZmZmZ5YELb2ZmZmZmZmZmZnngwpuZmZmZmZmZmVkeuPBmZmZmZmZmZmaWBy68mZmZmZmZmZmZ5YELb2ZmZmZmZmZmZnnQo8KbpEGSviLpKUmrkteTSdvgXAVpZmZmZmZmZmZWano64u12IIB3AOOS1zuTttt7eG8zM7OCkXS9pNWSnu3kuCR9T9JiSU9LOqK3YzQzs/LmXGRmVvp6WnibGhFfjYilEdGSvJZGxFeBqbkI0MzMrEBuBGbt4vjpwH7J61Lgh70Qk5mZ9S034lxkZlbSelp4Wy7p45KG7myQNFTSJ4HlPby3mZlZwUTEX4D1uzjlTODmSHkUGCZpbO9EZ2ZmfYFzkZlZ6etp4e09pEa2LZS0XtJ64ClgSnLMzMysXI0DXk37XJ+0mZmZ9RbnIjOzIlfVk4sjYi3wyeRVEurq6mLSpEmFDsPMrGTU1dUxd+7cuRGxq6kutguSLiU1BYja2trp06ZNK3BEZmalZcGCBWsjYlSh4yhlzkVmZj3T3VzUo8IbgKST+MfmCpCaYvqriHigp/fOh0mTJjF//vxCh2FmVlIk1RU6hiK0HJiQ9nk8nSyzEBGzgdkAM2bMCOchM7M9I+mVQsdQpJyLzMx6SXdzUY+mmkr6FnAlsJDUD/HZyfsvSfp2F+8xS9KLyU48V2Q5fqKkJyS1SDq74/MlLZL0fLKbj3rSHzMzsz0wB7gg2VHuaGBTRLxW6KDMzKxPcS4yMytyPR3x9o6I2L9jo6SbgL8Bn9nVxZIqgWuA00itRzBP0pyIeC7ttGXARcDlHa49FjgOOCRp+itwEvBAdzpiZmaWTtLPgJOBOkn1wJeBfgAR8SPgHuAMYDHQAHygMJGamVm5ci4yMyt9PS28NUs6NCIWdmg/BGjqwvUzgcUR8RKApNtI7czzeuEtIpYmx9o6XBtADVANiFQCWtWNPpiZmWWIiHN3czyAj/VSOGZm1gc5F5mZlb6eFt4+CNwkKfjHbjoTSRXFPtiF67PtwnNUVx4cEY9I+hPwGqnC2/cj4vls56YvJDpx4sSu3N7MykBzSxv1Gxp4ZV0DS9dt45V1DazZ2pT6CZWmokJMGjmQI/YZzhEThjN0YL9uP3NjQzOPvbye1ZsbM45VV1Vw0N5DOXDsECoqdj8zPiJYs7WJl9Zs45V122hu6fj3BxhUU8U+I2uZNLKW4QP74Rn3ZmZmZmZmxaOnu5o+ChwmaRJpmyvsHKWWT5KmAgeQWkAU4D5JJ0TEg1nibLeQaL5jM7P8a9zRysNL1nL/86t5aPFa1m1tzjhnW3MLbd34L37q6EFMnzic/fYaRN2g/tQN6s/IQdXUDerPwOrKdue2tAXP1G/ir4vX8tDitTy7YhOxm2cOH9iPY6fWcfzUOmZOHsGO1jZe29jIik3bWbmpkeUbtrNk7TZeWr2VLU0tXY57SE0Vk+tqGTO0hopOCnCT6mr53CzvYmZmZmZmZtYberyrKbw+HXRpepukyRHx8m4u7fIuPFm8E3g0IrYmz7sXOAbIKLyZWfdsbGjmlXUN1PZPFXQquzBKa0+t3drEC69tYdn6Blp3V7ECmna08siSdTy0ZC2NOzJHgOXC4tVbWbx6a17uDbChYQe/ffo1fvt0btc+3tzYwsL6TSys39TpOYdNGJbTZ5qZmZmZmVnnclJ468SfSU073ZV5wH6SJpMquJ0DnNfF+y8DPiTpP0lNNT0J+E43YzXrM7Y3t7J8YwOrNzfR1NpGa2vQ0tbGjtagobmFxau38sLKLby4cgurt/xjqcZB/at447ihHDphGIeOH8p+ew2itn8VA/tVMaC6kuqq7Jskt7UFa7c1sXJTY+q1uZFX1jXwwsrNvLhyC2uzjFQzMzMzMzMzKwc9KrxJ+lZnh4Chu7s+IlokXQbMBSqB6yNikaSrgPkRMUfSkcDdwHDg7ZK+GhEHAXcCpwDPkFqx6XcR8eue9Mes2Kza3MjCVzfy4sottEYwqH8VQ2r6MaimisE1VTQ0t/Laxu2s2NTIio3bWbFxOw3NrQyormRgdSUD+lUxsLqS1giWb9hO/YaGbhe6tja18MhL63jkpXVZj/erFNWVFRlrjDXuaKWlO/M9zczMzMzMzEpcT0e8fQy4Asj2m3yXFiaKiHtIbYOd3nZl2vt5/GMdt/RzWoEP70mwZsVsS+MOnnp1I08u28jT9Rt5un5TuxFnxW5Ha7CjtbXQYWQYPbg/+4wcmGxAMJBxwwfQr7L96LzN21t46tUNLHhlA0vWbOvxM6fU1XLEPsOp6df+OcvWb+fxl9ft0RTZ/lUVTK6rZd9Rgxhe237ThwhYvaWJpWu38cr6hqybL5iZmZmZmVnh9LTwNo/UyLRHOh6Q9MUe3tusrK3c1MgjL61l/tJUwefFVVt2uyi/tTeitpo3vWE0p0wbzVFTRmRMd62urKCmX2UnV7d33lGpmfEbG5p5ctlGnl2eKnyu29bE2q3NrN3axLqtzexozSxuDRvQjyMnj+C4qXUcN7WOccMGdPqcppZWnly2kYcWr+Wvi9eybF0Dg2uqGDt0AGOH1jBmaA1jh9YwcWQtU+pqGTdsQJd2QG1tC17btJ2laxvY3Lij0/OGDej+jq1mZmZmZma2Z3paeDsH6Gx4yD49vLdZ2VmxcTv3PPMa9z67kgWvbCh0OLtVWSH2GTmQNZub9mh3zT3Rr1LsO2oQ++81mME1XfuRNHpwDSfsX8eh44flfMOHYQOredO00bxp2uic3nen/lWVHD1lJEdPGcm/veUNObtvZYUYP3wg44cPzNk9zczMzMzMrGd6VHiLiJW7OPb6sBBJP4uIc3vyLLNi0tLaxr3PruTXC1dQv2E7jTtaadzRyvbkFQHDBvZj+MBqhg3sx4jaal7b1MiTyzYWOnQqBGOHDmDvYTUMqK6iX4WorBD9KiuoqhRjhw5g2pjB7L/XYPYdXUv/qkra2oKX1m5j4asbWVi/kWeWb2LDtmYamluTVwu7WsZtSE0VY4bWMGboAMYM6c+YoQPYd1Qt08YMYXJdbacbM5iZmZmZmZmVsnzuapoud8M6zApoc+MO7pj3Kjc8tJTlG7fv8txVm5tYtblna7T1qxTTxgzhjeOHMmJgNVubWtjcuIOtjS1saWyhqlLsPXQAY4fVsPewAew9dADDBvajcUfr60Wxxh2ttLYFY4fVMGH4QMYMrclY42x3KirE1NGDmDp6EO+anrHkIhFBU0tb1mmY/fZguqeZmZmZmZlZOemtwptZyVq/rZlFKzbxwItruH3eq2zN05RLgEkjB3LExOEcPnEYh4wfxrSxg+lfVfxFK0nU9Kt0gc3MzMzMzMwsjQtvVvJaWttobm1jYPWefTtHBPUbtvPy2m1sa2phW3Mr25tbaGhuZXPjDl54bQuLVmxm5ebGPEUO+46q5dQD9mL6PsM5YuJwRg3un7dnmZmZmZmZmVnv6q3CW25XPzcD2tqC7/9pMT94YDGNO9oYUVvNlLpapoyqZcqoQUwcMTBj4f1N23fw/GubeW7FZp57bTNbGvM3eq0z++81iNMPHss/HTKW/fca3OvPNzMzMzMzM7Pe0VuFtyt76TnWR2xvbuVf73iKe5/9x/4e67c1s35bM/N7abdQCU6dthfvP2Yfxg0bwIDqSmqqKhhQXUkEbGhoZmPDDjY0pOKKgIPHDWHqaBfbzMzMzMzMzPqCHhXeJM0Dsu1lKCAiYiapN7/uyXPM0q3e3MiHbp7PwvpNBXl+Tb8Kzp4+nouPm8yUUYM6Pa+2fxXjh/diYGZmZmZmZmZWVHo64u38nERh1kUvrNzMxTfMY8Wm/K271lFlhZg6ahAH7T2EQycM4+2H7s2I2upee76ZmZmZmZmZlaYeFd4i4sWd7yWNBaZGxIOSqgFvb2jddt9zq5izcAXbOuwg+vjL63O6q+iAfpVMGzuYUYP6M7C6kgHVVQysrmRgdSV7DxvAQXsPYf+9Bnu3TjMzMzMzMzPbYzlZ403ShcCngcHAvsAU4H+B03Jxf+s72tqC/7z3ea598OUuX1NdVcG3zz6EQ8YP4+W1W3lpzTaWrNnG2q1NGedWVYjJdbUcuPcQDhw7hH1G1mZswGBmZmZmZmZmlgu52lzhU8BRwKMAEfGCpDE5urf1EdubW/nU7U8yd9GqLl8zsraa2RfMYPo+qcXUJtfVcsq0fEVoZmZmZmZmZtZ1FTm6T1NEvD68SFIl2TddyCBplqQXJS2WdEWW4ydKekJSi6SzOxybKOn3kp6X9JykST3shxXImi1NnHPto3tUdNtv9CB++bHjXi+6mZmZmZmZmZkVk1yNeHtE0r8C/SWdAHwM+N3uLkoKdNeQmpJaD8yTNCcinks7bRlwEXB5llvcDFwdEfdJGgS09awbVgh/X7WFi26Yx/KN27t8zSnTRvM/7z2MoQP65TEyMzMzMzMzM7Puy1Xh7TPAR4AlwOeAucAPunDdTGBxRLwEIOk24Ezg9cJbRCxNjrUrqkk6EKiKiPuS87b2uBfW637z9Ao+f9czbGnMvmHCx0+ZyuETh7Vr22tIDQeOHYLktdnMzMzMzMzMrHjlpPAWES2kNlP43z28dBzwatrnelJrxXXF/sBGSXcBk4E/AFdERGvHEyVdClwKMHHixD0M0fJhU8MOvvSrZ5mzcEXW49VVFfzXuw/l7Yfu3cuRmZmZmZmZmZnlRq52NT0SuBLYJ/2eEXFgLu7fiSrgBOBwUtNRbyc1JfW6jidGxGxgNsCMGTO6tPac5c+Df1/DZ37+NCs3N2Y9PnxgP669YAYzJo3o5cjMzMzMzMzMzHInV1NNbwa+ACwAMkac7cJyYELa5/FJW1fUA0+lTVP9JXA0WQpvVhwad7Ty9Xue5+ZHXun0nCl1tVx/0ZFMqqvtxcjMzMzMzMzMzHIvV4W3LRFxdzeumwfsJ2kyqYLbOcB5e3DtMEmjImINcAowvxsxWC9YtbmRD908n6frN3V6zukHj+E/z3ojwwZW92JkZmZmZmZmZmb5kavC2/2SvgbcBTTtbOywO2mGiGiRdBmpzRgqgesjYpGkq4D5ETEnmcZ6NzAceLukr0bEQRHRKuny5NkiNdru2hz1x3Lo6fqNfOjm+aza3JT1+OCaKq468yDecdg4b5hgZmZmZmZmZmUjV4W3k5Ovb05rC+DY3V0YEfcA93RouzLt/TxSU1CzXXsfcMgexmq96NcLV3D5zxfS1NKW9fhxU0fy7bMPZe9hA3o5MjOz3ZM0C/guqT8O/SQivtHh+ETgJmBYcs4VSV4zMzPLCeciM7PS1uPCm6QK4BsR8ascxGNloq0t+M4f/sb3/rg46/Hqqgo+f/o0LjxmEhUVHuVmZsVHUiVwDXAaqXVF50ma02E09xeBOyLih5IOJPWHpEm9HqyZmZUl5yIzs9LX48JbRLRJuhJw4c0A2NK4g8t/vpC5i1ZlPV43qD+zL5jOEROH93JkZmZ7ZCawOG0Tn9uAM4H0X3YCGJK8Hwqs6NUIzcys3DkXmZmVuFxNNZ2brNV2O7BtZ2NENOTo/lYi/r5qCx/+6QJeWrMt6/EDxw7hJxfO8NRSMysF44BX0z7XA0d1OOcrwO8lfRyopf2SC2ZmZj3lXGRmVuIqcnSfDwD/DjwNLAaWJF+tD/nt069x5jUPdVp0O/3gMdz5kWNcdDOzcnIucGNEjAfOAP4vWYKhHUmXSpovaf6aNWt6PUgzMytrzkVmZkUsJyPeImJsLu5jpamltY1vzX2R2X95qdNzPnHKVD715v29npuZlZLlwIS0z+OTtnSXALMAIuIRSTVAHbA6/aSImA3MBpgxY0bkK2AzMys7zkVmZiUuJyPeJPWXdLmk/00+7yvpLbm4txW31rbgI7c80WnRrba6kh+87wj+9S1vcNHNzErNPGA/SZMlVQPnAHM6nLOM/9/encfJVZUJH/892dm3BJCQSAJBCChb2JVh2Iw4ggso4joyw+i8uIzb4PgOIjgzoo6zia8wgrsioEgYIqviwrAkYQkmIRIjS9gSAgRCzNrP+0fdpitdnXQldburq/r3/Xzqk3ufe++p59xU53ROnXMPHA8QEfsCowCHEUiSymJbJEktrqypppcDWwJ/Xuw/BVxUUtkawL7zvw9z89yeF1GYOGYrrj3naE5+tQMiJbWezFwLnAPcCMyjsmLcnIi4ICJOKU77BPDXEXE/8CPg/ZnpKAJJUilsiySp9ZW1uMI+mfmuiHgLQGa+1NNzBdReHln6El+68cEej03db1e+fPpr2GbU8H7OSpLKk5nTgendYudVbc8Fju7vvCRJg4dtkSS1trI63lZHxEgqS1kTEa8EVpdUtgagjo7k738ym5VrOmqO/f3Uffjgn00kwqmlkiRJkiRp8Cqr4+0LwA3A2Ii4jMozBv66pLI1AP3w7ke5c+GzNfH3HvlKPnTsnk3ISJIkSZIkaWApa1XT6yNiJvBaIIDPZuZTZZStgWfRcyv4l+nzauJjt9+CT0/dpwkZSZIkSZIkDTxlrWr6D5n5dGb+JDOvBp6OiMvLKFsDS2bymZ8+wEur19Uc++LbXs3WI8saRClJkiRJktTayloAYf+I+DuAiBgGXAksrufCiJgaEfMjYkFEnNvD8WMi4p6IWBsRp/VwfNuIWBQRX2u0EurdVbMW8ZuHnqmJn3HoOF43aUwTMpIkSZIkSRqYyhqe9B7gx8XD9E8AfpuZ/9LbRRExFLgYOBFYBMyIiGnFyjydHgXeD3xyA8VcCPx681NXvZ5+YSUX/s/cmviu247iH964bxMykiRJkiRJGrgaGvEWEZMjYjLwKioLLLwPeBi4toj35jBgQWYuzMzVwBXAqdUnZObDmTkbqFk+MyIOAXYBbmqkHqrPF66fx4sr19bE/+kt+7PtqOFNyEiSJEmSJGnganTE22Xd9v8EHFzEEziql+vHAo9V7S8CDq/njSNiCPCvwLupjLJTH7p9wTNcd/8TNfG3HDSW4/fdpQkZSZIkSZIkDWwNdbxl5pH1nBcR78zMHzXyXj34W2B6Zi4qprhu7P3PBs4GGD9+fMlptL/Vazs479rf1cR33GoE5/1FPQMbJUmSJEmSBp+yFlfozac2EH8cGFe1v3sRq8eRwDkR8TDwFeC9EfHFnk7MzEszc0pmThkzxgUANtU3f7uQPyx5qSZ+7tR92GGrEU3ISJIkSZIkaeAra3GF3mxoSNoMYFJETKDS4XYGcGY9BWbmu14uPOL9wJTMrFkVVY15/Pk/8V+3LqiJHzx+e047ZPcmZCRJkiRJktQa+mvEW/YYzFwLnAPcCMwDrszMORFxQUScAhARh0bEIuB04JKImNNPOQu48Lq5/GnNuvViQwIufPP+DBmy8Sm+kiRJkiRJg1mzR7yRmdOB6d1i51Vtz6AyBXWDMvPbwLcbylA1bpu/mBvmPFUTf++Re7Dfbts1ISNJkiRJkqTW0V8j3mb20/uoJCvXrONz02oHF47ZZiQfP2nvJmQkSZIkSZLUWkrpeIuI0RFxcURcW+zvGxHv6TyemX9dxvuo/1zyq4U8snRFTfyzJ+/LtqOGNyEjSZIkSZKk1lLWiLdvA3cBexT7C9jwSqYa4B5duoKv31a7oMIRE3fk1AN3a0JGkiRJkiRJraesjrddMvO7QAdAZq7p3FbrueB/5rBq7fp/fcOGBBeeuj8RLqggSZIkSZJUj7I63lZExPYUq5dGxMHA8pLKVj+6Ze7T3DJvcU38rNdOYNIu2zQhI0mSJEmSpNZU1qqmnwauByZExK1UppyeXlLZ6icr16zj/OtqF1TYddtRfOT4SU3ISJIkSZIkqXU13PEWEUOAtcBxwP5AAL/LzJWNlq3+9fVfLmDRc3+qif/jX0xmq5Fl9dFKkiRJkiQNDg33pmRmR0RclpkHArNKyElN8PAzL/GNXy2sib92r9Gc/Opdm5CRJEmSJElSayvrGW+/jog3llSW+llmcv51c1i9bv0FFYYPDc4/ZT8XVJAkSZIkSdoMZc0fPBM4JyJWACuoTDfNzNy5pPLVh26a+zS3zV9SE/+r101kr523bkJGkiRJkiRJra+sjrexJZWjfrauI7nohgdr4rttN4oPH7dXEzKSJEmSJElqD6V0vGXmqog4CTimCN2WmbeUUbb61vUPPMnCJS/VxM9702S2HOGCCpIkSZIkSZurlGe8RcQFwD8CTxSv8yLi/DLKVt/p6Ej+69aHauKHT9iR1+/nggqSJEmSJEmNKGtxhTcDx2Xm1zPz68DxwFvruTAipkbE/IhYEBHn9nD8mIi4JyLWRsRpVfEDI+KOiJgTEbMj4h0l1WXQmP67J3lo8fKa+MdO2NsFFSRJkiRJkhpUVsdbAFtW7W9ZxDZ+UcRQ4GLgDcBk4J0RMbnbaY8C7wd+2C2+AnhvZu4HTAX+PSK236zsB6GOjuQ/exjtdtiEHTlyz52akJEkSZIkSVJ7Kavj7SvAvRHxjYi4BJgFfKmO6w4DFmTmwsxcDVwBnFp9QmY+nJmzgY5u8d9n5kPF9hPAYmBM41UZHG6c8xS/f7qH0W7HT2pCNpI0MPU2Krs45+0RMbcYgd39SyJJkjab7ZAktb6yFlf4TkT8EjiiCP1TZj5ax6Vjgceq9hcBh2/q+0fEYcAI4A+beu1g1NGR/EcPo90O3WMHR7tJUqFqVPaJVNqnGRExLTPnVp0zCfgMcHRmPhcROzcnW0lSu7EdkqT2UNbiCicDyzLzysy8EnghIt5QRtl1vPcrgO8Bf5mZHRs45+yImBkRM5csWdIfaQ1oN819mgeferEm/tHjfbabJFXpdVQ28NfAxZn5HEBmLu7nHCVJ7ct2SJLaQFlTTf85M5d17mTm88A/13Hd48C4qv3di1hdImJb4Hrgs5l554bOy8xLM3NKZk4ZM2adAd9NAAAgAElEQVRwz0bN7PnZbgeP356j93K0myRV6WlU9thu5+wN7B0Rt0fEnRExtaeC/AJIkrQZSmuHwLZIkpqlzMUVuqtnGusMYFJETIiIEcAZwLS63rBy/jXAdzPz6rozHeRumbeYuU++UBP/qCuZStLmGAZMAo4F3gn8d08L/fgFkCSpj9TVDoFtkSQ1S1kdb/dHxD9HxNji9S/A/b1dlJlrgXOAG4F5wJWZOSciLoiIUwAi4tCIWAScDlwSEXOKy98OHAO8PyLuK14HllSftvX/bltQEztw3PYcM2l0E7KRpAGtnlHZi4BpmbkmM/8I/J7Kf4AkSWqU7ZAktYFSFlcA/g9wIZUONICbgQ/Vc2FmTgemd4udV7U9g0oj0/267wPf38x8B6Wly1dxz6PP18Q/esIkR7tJUq2XR2VT+Y/OGcCZ3c75GZURBt+KiNFUpvws7NcsJUntynZIktpAWauavgh8DCAitsjMP5VRrso14+Fna2ITx2zFsXs71FySusvMtRHROSp7KHB556hsYGZmTiuOnRQRc4F1wKcyc2nzspYktQvbIUlqDw11vEXEucA1mTk/IoYD1wKvi4jlwBmZ+asyklQ57lxY2/F29J6jHe0mSRtQx6jsBD5evCRJKpXtkCS1vkaf8fYeoHOJzPcCWwM7Aa8HvtRg2SrZXX+s7Xg7bMKOTchEkiRJkiSp/TXa8bY6MzuK7anAjzJzdWbOBkY0WLZKtGzFGh58qnY108Mn2vEmSZIkSZLUFxrueIuIvSNiB+A44KaqY1s0WLZKNOPhZ8lcPzZx9FbsvM2o5iQkSZIkSZLU5hpdXOGTwA3AjsDXMvMPABHxRmBOg2WrRHf9sfYZq452kyRJkiRJ6jsNdbxl5m+AiT3Erweub6Rslcvnu0mSJEmSJPWvRqeaAhARoyPi4oi4ttjfNyLeU0bZatyLK9fwu8eX1cQPn7BTE7KRJEmSJEkaHErpeAO+DdwF7FHsLwA+VVLZatDMR56jo9vz3cbtuAW7be9j+CRJkiRJkvpKWR1vu2Tmd4EOgMxc07mt5ru7h2mmjnaTJEmSJEnqW2V1vK2IiO2BBIiIg4HlJZWtBt21sHZhBZ/vJkmSJEmS1LcaXdW006epLKYwISJupTLl9PSSylYDVqxey+xFtc93O8IRb5IkSZIkSX2qlI63zLwrIo4D9gcC+F1mriyjbDXmnkeeZ223B7y9YrtRjNvR57tJkiRJkiT1pbJWNf0rYIvMnJWZM4EtIuKsOq+dGhHzI2JBRJzbw/FjIuKeiFgbEad1O/a+iHioeL2vjLq0m7v+WDvN9PAJOxIRTchGkiRJkiRp8CjrGW/nZObznTuZ+RxwTm8XRcRQ4GLgDcBk4J0RMbnbaY8C7wd+2O3aHYHPAYcDhwGfi4gdGqhDW7qrh4UVDnOaqSRJkiRJUp8rq+NtvXKiMpxqeB3XHQYsyMyFmbkauAI4tfqEzHw4M2dTu0rq64GbM/PZoqPvZmDq5lagHa1cs477Hnu+Jn74RBdWkCRJkiRJ6mtldbz9IiK+HxFHR8TRwHeBX9Rx3Vjgsar9RUWsHo1cOyjc99jzrF67fn/l6K1HMnH0Vk3KSJIkSZIkafAoa1XTTwIfBj5T7N8MfL2kshsWEWcDZwOMHz++ydn0n7sW1k4zPXyiz3eTJEmSJEnqD2WtaroW+LfitSkeB8ZV7e9exOq99thu1962gfwuBS4FmDJlSvZ0Tjva0MIKkiRJkiRJ6ntlrWp6aERcFxGzI2Ju56uOS2cAkyJiQkSMAM4AptX5tjcCJ0XEDsWiCicVMQGr13Zwz6PP1cQPd2EFSZIkSZKkflHWVNPvAv8AzALW1XtRZq6NiHOodJgNBS7PzDkRcQEwMzOnRcShwDXADsCbIuLzmblfZj4bERdS6bwDuCAza+dWDlJ3//FZVq5Z//luO2w5nEk7b92kjCRJkiRJkgaXsjreXszMazbnwsycDkzvFjuvansGlWmkPV17OXD55rxvu7tl3tM1saP2HM2QIT7fTZIkSZIkqT+U1fF2azH67KfAqs5gZtYz3VQly0xunlvb8Xbi5F2akI0kSZIkSdLgVFbH27HFnydUxRI4qqTytQnmPfkijz//p/ViQ4cEf/6qnZuUkSRJkiRJ0uBT1qqmR5ZRjsrR0zTTw/bYke22HN6EbCRJkiRJkganslY1HR0RF0fEz4r9fSPiPWWUrU3X0zTTE5xmKkmSJEmS1K9K6XgDvg3cBUwo9hcAnyqpbG2CJ5f9iQceX1YTP3FfO94kSZIkSZL6U1kdb7tk5neBDoDMXNO5rf5167zFNbFX7bIN43fasgnZSJIkSZIkDV5ldbytiIjtqSyoQEQcDCwvqWxtgp6nmbqogiRJkiRJUn8rq+Pt08D1wISIuBW4CvhISWWrTstXreWOPyytiZ84edcmZCNJrS8ipkbE/IhYEBHnbuS8t0VERsSU/sxPktT+bIskqbU1vKppRAwB1gLHAfsDAfwuM1c2WrY2zW9+v4TV69af4Ttmm5G8Zux2TcpIklpXRAwFLgZOBBYBMyJiWmbO7XbeNsBHqTzrVJKk0tgWSVLra3jEW2Z2AJdl5qrMnJWZM+10a46b5/UwzXTfnRkyJJqQjSS1vMOABZm5MDNXA1cAp/Zw3oXARYBtnySpbLZFktTiyppq+uuIeGNJZWkzrF3XwS8erF1Y4cTJrmYqSZtpLPBY1f6iIvay4pmm4zLz+o0VFBFnR8TMiJi5ZMmS8jOVJLUr2yJJanFldbydCVwXEcsjYnFELImI2l4g9ZlZjzzH8yvWrBfbYvhQjtpzdJMykqT2Vjxq4avAJ3o7NzMvzcwpmTllzJgxfZ+cJGlQsC2SpIGv4We8Fcb2for60i09TDN93aTRjBo+tAnZSFJbeBwYV7W/exHrtA2VZ5veFhEAuwLTIuKUzJzZb1lKktqZbZEktbhSRrxl5irgTcDHiu3RwL71XNvbKj0RMTIiflwcvysi9ijiwyPiOxHxQETMi4jPlFGXVpSZ3Dy3tuPNaaaS1JAZwKSImBARI4AzgGmdBzNzWWaOzsw9MnMP4E7A/+hIkspkWyRJLa6UjreI+E/gDcD7i9BK4NI6rutcpecNwGTgnRExudtpZwHPZeZewL9ReWgowOnAyMx8NXAI8DednXKDzUOLl/Pw0hXrxSLguH12blJGktT6MnMtcA5wIzAPuDIz50TEBRFxSnOzkyQNBrZFktT6yppq+rrMPCgi7gXIzKURMbKO615epQcgIjpX6aleHvtU4Pxi+2rga1EZR53AVhExDNgCWA28UEZlWs1P73m8JnbI+B3Yaet6/gokSRuSmdOB6d1i523g3GP7IydJ0uBiWyRJra2sxRVWFw/2TICI2LFzuxe9rtJTfU7xjc8yYCcqnXAvAU8CjwJfycxne3qTdl7BZ+26Dn56z6Ka+Bte/YomZCNJkiRJkqROZXW8fQO4ChgdEf8I/Ab4ckllb8hhwDpgN2AC8ImImNjTie28gs9vFjzD4hdXrRcbNiR484G7NSkjSZIkSZIkQUlTTTPzWxExCzgRCODMzLy/jkt7W6Wn+pxFxbTS7YClwJnADZm5BlgcEbcDU4CFDVWmxVw9s3a023H77Ow0U0mSJEmSpCYra8QbmTkb+BbwXeDJiKjnyf4bXaWnMA14X7F9GvCLzEwq00uPA4iIrYAjgAcbrkgLeX7F6h5XMz19yrgezpYkSZIkSVJ/KmXEW0T8DfAFKosbrKMy6i2BvTd2XWaujYjOVXqGApd3rtIDzMzMacBlwPciYgHwLJXOOaishvqtiJhTvN+3is6/QeO6+59g9bqO9WKjtx7Bsa9qr+m0kiRJkiRJraisVU0/BeyfmbXDr3rR2yo9mbkSOL2H65b3FB9MrppVO830zQeOZfjQ0gYySpIkSZIkaTOV1UPzONBey4UOcPOfepHZi5bVxE+bsnsTspEkSZIkSVJ3DY14i4i/LTbnA7dExHXAy0tsZubXGylfG3b1rMdqYq8eux377LptE7KRJEmSJElSd41ONe18iv/S4lXPggpq0Jp1HVxz7xM18dMOcbSbJEmSJEnSQNFQx1tmfqZ6v1iZlMxc3Ui52rhfzV/CM8tXrRcbMXQIpxywW5MykiRJkiRJUnelPOMtIl4VEXcAjwCPRMTtEfGqMspWrat7WFThhMk7s8NWI5qQjSRJkiRJknpS1uIK3wQuyMxXZOYrgAuLmEr27EurufXB2sVjTz9kXA9nS5IkSZIkqVnK6njbLjN/3rmTmTcAPuW/D3z7fx9mzbpcL7bzNiN53aTRTcpIkiRJkiRJPSmr4+2RiPhUROxavD4JPFpS2SosfnEl3/zNwpr4Ww4ay7ChZf1VSpIkSZIkqQxl9db8JTAJ+AVwK7BXEVOJ/uvWBaxYvW692IihQ3j3Ea9sUkaSJEmSJEnakIZWNS1WMd0yM58Bzq6K7wAsbzA3VfnjMy/xo7trBxG++4hXMm7HLZuQkSRJkiRJkjam0RFv/w68vof4icC/NVi2qnzlpvms7Vj/2W5bjxzGOcft1aSMJEmSJEmStDGNdrwdnpk/7h7MzCuBP2+wbBXuf+x5rp/9ZE38g382kR23GtGEjCRJkiRJktSbRjvetujDsgVkJl/8+YM18THbjOQDr53QhIwkSZIkSZJUj0Y7x56NiIO6ByPiQODZegqIiKkRMT8iFkTEuT0cHxkRPy6O3xURe1Qde01E3BERcyLigYgY1UBdBqRfP/QMdyxcWhP/2AmT2HJEQ4/okyRJkiRJUh9qtOfm74FrIuIbwKwiNoXKQgvv7u3iiBgKXEzlmXCLgBkRMS0z51addhbwXGbuFRFnABcB74iIYcD3gfdk5v0RsROwpsH6DCgdHT2Pdps4eivePmVcEzKSJEmSJElSvRoa8ZaZtwNHATsAHyteOwCvLY715jBgQWYuzMzVwBXAqd3OORX4TrF9NXB8RARwEjA7M+8vclmamesaqc9A87P7Hmfeky/UxD/1+lcxfKgzeSVJkiRJkgayhucqZuYTVEa+ARARWwO71Xn5WOCxqv1FwOEbOicz10bEMmAnYG8gI+JGYAxwRWZ+qac3iYizqYzCY/z48XWm1lzLV63tcbTbAeO2Z+r+uzYhI0mSJEmSJG2KUoZNRcRNEbFtRGwPzAauiogvllH2RgwDXgu8q/jzLRFxfE8nZualmTklM6eMGTOmj9Mqx3/d+hCLX1xVEz936j5UBvxJkiRJkiRpICtrvuKYzHwBeCvww8w8ADi5juseB6ofVrZ7EevxnOK5btsBS6mMjvt1Zj6TmSuA6cDBDdVigFiweDmX/faPNfGp++3KkXvu1ISMJEmSJEmStKnK6ngbHhE7AqcB123CdTOASRExISJGAGcA07qdMw14X7F9GvCLzEzgRuDVEbFl0SH3Z8BcWlxm8vnr5rC2I9eLjxw2hM++cd8mZSVJkiRJkqRN1fAz3gr/AtwB3J6Zd0XERODR3i4qntl2DpVOtKHA5Zk5JyIuAGZm5jTgMuB7EbEAeJZK5xyZ+VxEfJVK510C0zPz+pLq0zQ3zX2a3zz0TE38Q8fuybgdt2xCRpIkSZIkSdocpXS8ZeYPgB9U7S8E/qLOa6dTmSZaHTuvanslcPoGrv0+8P3NSHlAWrlmHRf+T+2gvd132IIP/tmeTchIkga3iJgK/AeVL4e+mZlf7Hb848BfAWuBJcAHMvORfk9UktSWbIckqfWV0vFWTDN9P7BHdZmZ+bdllD9YXPKrhSx67k818f/7xsmMGj60CRlJ0uAVEUOBi4ETqTxXdEZETMvM6m9I7gWmZOaKiPgQ8CXgHf2frSSp3dgOSVJ7KOsZb9cCrwRmArdXvVSnRc+t4Ou3LaiJv27SaF6/3y5NyEiSBr3DgAWZuTAzVwNXAKdWn5CZvywW+AG4k8oiQZIklcF2SJLaQFnPeNs2Mz9aUlmDzuq1Hfzdj+9j1dqO9eLDhgSfe9N+RESTMpOkQW0s8FjV/iLg8I2cfxbw8z7NSJI0mNgOSVIbKKvj7caIOC4zf1FSeYPKP10/lxkPP1cT/8uj92CvnbduQkaSpE0REe8GplBZYbun42cDZwOMHz++HzOTJA0GvbVDxTm2RZLUBGVNNf1L4JaIWBYRiyNiSUQsLqnstnb1rEV8547a55/uvM1IPnL8pCZkJEkqPA6Mq9rfvYitJyJOAD4LnJKZq3oqKDMvzcwpmTllzJgxfZKsJKntlNYOgW2RJDVLWSPefJbAZnhg0TL+4ZoHauLDhgT/9c6D2GbU8CZkJUkqzAAmRcQEKv/ROQM4s/qEiDgIuASYmpl+4SRJKpPtkCS1gVJGvBXfrLwJ+FixPRrYt4yy29XS5av4m+/NZHW357oBfPaN+3L4xJ2akJUkqVNmrgXOAW4E5gFXZuaciLggIk4pTvsysDVwVUTcFxHTmpSuJKnN2A5JUnsoZcRbRPwnsBVwFHARsBK4lMpKPOpm7boOzvnhvTyxbGXNsbceNJb3H7VH/yclSaqRmdOB6d1i51Vtn9DvSUmSBg3bIUlqfWVNNX1dZh4UEfcCZObSiBhZUtlt58s3zeeOhUtr4vvtti3//NZXu4qpJEmSJElSGyhrcYXVETEESICI2LFzW+v77UPPcMmvFtbEd9hyOJe85xBGDR/ahKwkSZIkSZJUtrI63r4BXAWMjoh/BH4DfKWkstvG0uWr+PiV99XEhwR87cyD2X2HLZuQlSRJkiRJkvpCKVNNM/NbETELOBEI4MzMvL+MsttFZvL3P5nN4hdrV/j+5OtfxdF7jW5CVpIkSZIkSeorZS2u8O7M/D4wuyp2fmaeX0b57eD7dz7CLfNqV/g+as+d+OAxezYhI0mSJEmSJPWlsqaavi8iTuvciYivAnvVc2FETI2I+RGxICLO7eH4yIj4cXH8rojYo9vx8RGxPCI+2WAd+sz8p17kC9fPq4nvsOVwvvr2AxkyxMUUJEmSJEmS2k1Zq5q+BbguItYBJwMdwHt6uygihgIXU5miugiYERHTMnNu1WlnAc9l5l4RcQZwEfCOquNfBX5eTjXKt3LNOj7yo3tZtbaj5thFb3sNu243qglZSZIkSZIkqa81NOItIraMiC2pdLSdCZwHrAL+DtiijiIOAxZk5sLMXA1cAZza7ZxTge8U21cDx0dEFO//ZuCPwJxG6tGXvvjzB5n/9Is18XcdPp6T9tu1CRlJkiRJkiSpPzQ61fQPwILiz1nArsDbquK9GQs8VrW/qIj1eE5mrgWWATtFxNbA3wOf7+1NIuLsiJgZETOXLFlSR1rlmL3oeb5zx8M18b123pr/+8bJ/ZaHJEmSJEmS+l9DU00z8xVlJbIZzgf+LTOXFwPgNigzLwUuBZgyZUr2fWrQ0ZGcd+0cstu7jRg6hP884yC2GDG0P9KQJEmSJElSk5S1qulQKs9iO6YI3QZ8KzPX9XLp48C4qv3di1hP5yyKiGHAdsBS4HDgtIj4ErA90BERKzPza43UZUPWdSTX3vc4bzpgN4YP7X2g4FWzHuO+x56viX/ipL2ZvNu2fZGiJEmSJEmSBpCyFlf4GrAD8N1i/93AIcCHerluBjApIiZQ6WA7g8qz4qpNA94H3AGcBvwiMxN4XecJEXE+sLyvOt1mPPwsn7t2DnOffIHnVqzhrNdO2Oj5y1as4aIb5tfE995laz7Qy7WSJEmSJElqD2V1vB2VmQdU7U+PiPt7uygz10bEOcCNwFDg8sycExEXADMzcxpwGfC9iFgAPEulc65fLH5hJf/y8we55t6uQXj/fvPvOeWA3RizzcgNXvevN8/n2ZdW18Q/f8r+dY2WkyRJkiRJUusrq+OtIyLGZ+ajABExjspKp73KzOnA9G6x86q2VwKn91LG+ZuacD2eemElP7tv/ZmvL65ay5dueJAvn35Aj9fMeWIZ37/zkZr4mw7YjSP33Kkv0pQkSZIkSdIAVNbwq88At0fEDRFxI/BbKiuOtrTX7L49Zxw6riZ+1axF3PPoczXxzMqCCh3dFlTYcsRQPnvyvn2VpiRJkiRJkgaghjreIuJQgMy8AdgHOA/4R2ByZt7UeHrN96nX78N2WwyviX/u2jms69bD9tN7HmfWI7Udch85fhK7bjeqz3KUJEmSJEnSwNPoiLdLOjcy86XMvLt4vdRguQPGjluN4BMn7V0Tf+DxZVw587GX9+977Hk+f92cmvP2HLMVHzjaBRUkSZIkSZIGG5/0X4czDxvPvq/Ytib+5Rvns2zFGu74w1Le9d938sLKtTXnfP6U/RkxzNssSZIkSZI02DS6uMLEiPjphg5m5lsbLH9AGDZ0CJ8/ZT/efskd68WffWk1H/rBLGY98hyr1tauJXHyq3fltZNG91eakiRJkiRJGkAa7XhbAlxcRiID3WETduTNB+7Gz+57Yr34//5haY/nTxi9FRecun9/pCZJkiRJkqQBqNGOtxcz89ZSMmkBnzl5X26e+zQvrV630fP22XUbvnfW4YzeemQ/ZSZJkiRJkqSBptGHjz3W+yntY5dtR/Hh4ydt9JwDx23PFWcfwZht7HSTJEmSJEkazBrqeMvMUwEiYmREfCQiroyIH0fEhyOiLXuePnD0BCaO3qrHY0dO3Inv/9XhbL/liH7OSpIkSZIkSQNNWcttfgc4BPhv4JvAwUWs7YwYNoTzT9mvJn7Cvjvzrb88lK1HNjp7V5IkSZIkSe2grF6i12Tm5Kr9myNibkllDzjH7D2Gfz39AC664UFWrF7H+4/ag4+eMInhQ8vqx5QkSZIkSVKrK6vj7f6IODQzZwBExCHAvSWVPSC97ZDdedshu9PRkQwZEs1OR5IkSZIkSQNMWUO0Xg3cFRELImIBcDdwQETcGxH3bOzCiJgaEfOLa8/t4fjI4rlxCyLirojYo4ifGBGzIuKB4s/jSqrLJrHTTZIkSZIkST0pa8TbqZtzUUQMBS4GTgQWATMiYlpmVk9TPQt4LjP3iogzgIuAdwDPAG/KzCciYn/gRmBsI5WQJKlaREwF/gMYCnwzM7/Y7fhI4LtUnnO6FHhHZj7c33lKktqXbZEktbZSRrxl5h+AUVQ60E4ERmXmHzpfG7n0MGBBZi7MzNXAFdR24p1K10INVwPHR0Rk5r2Z+UQRnwNs0a4rqUqS+l/Vl0NvACYD74yIyd1Oe/nLIeDfqHw5JElSKWyLJKn1ldLxFhHnAFcB44vXlRHxt3VcOhZ4rGp/EbWj1l4+JzPXAsuAnbqd8zbgnsxctenZS5LUo83+cqgfc5QktTfbIklqcWVNNT0bOCwzlwNExD8D/wt8vaTyNygi9qPyrc5JGznn7CJHxo8f39cpSZLaQ09fDh2+oXMyc21EdH459Ey/ZChJane2RZLU4srqeAtgddX+miLWm8eBcVX7uxexns5ZFBHDgO2oPLuAiNgduAZ478amtGbmpcClxTVLIuKROnIbTfs0Vu1UF7A+A1k71QXaqz6N1KVd7kHTVH8BBKyKiN81M58BpJ1+xhrlvejivejivejyqmYn0OpsizbIn7Mu3osu3osu3osum9UWNdTxFhHDiumf36OyqulPikNvoWu488bMACZFxAQqHWxnAGd2O2ca8D7gDuA04BeZmRGxPXA9cG5m3l5vzpk5pp7zImJmZk6pt9yBrJ3qAtZnIGunukB71aed6tKPGvpyqFq3L4D8uyh4L7p4L7p4L7p4L7pExMxm59AktkV9zHvRxXvRxXvRxXvRZXPbokaf8XY3QGZ+CfgbYEXx+mBmfqW3i4tOu3OorEg6D7gyM+dExAURcUpx2mXAThGxAPg4cG4RPwfYCzgvIu4rXjs3WB9Jkjq9/OVQRIyg8uXQtG7ndH45BFVfDvVjjpKk9mZbJEktrtGppi9PJ83Muyk64jZFZk4HpneLnVe1vRI4vYfrvgB8YVPfT5KkehTPyen8cmgocHnnl0PAzMycRuXLoe8VXw49S+U/RJIklcK2SJJaX6Mdb2Mi4uMbOpiZX22w/Ga6tNkJlKid6gLWZyBrp7pAe9WnnerSbzb3y6Fe+HfRxXvRxXvRxXvRxXvRZdDeC9uiPue96OK96OK96OK96LJZ9yIaGYUcEU8C/48NLKSQmZ/f7MIlSZIkSZKkFtZox9s9mXlwiflIkiRJkiRJbaHRxRV6HOnWyiJiakTMj4gFEXFu71cMLBFxeUQsrl4ePCJ2jIibI+Kh4s8dmpljvSJiXET8MiLmRsSciPhoEW/V+oyKiLsj4v6iPp8v4hMi4q7iM/fj4sG5LSEihkbEvRHxP8V+K9fl4Yh4oFioZWYRa8nPGkBEbB8RV0fEgxExLyKObOX6tKLe2pOIGFn8nCwofm726P8s+0cd9+Ljxb/1syPi1oh4ZTPy7A/1/p4REW+LiIyItl1FrJ57ERFvr/o94If9nWN/qeNnZHzxO9G9xc/Jyc3Is6/19Htst+MREf9Z3KfZEeEAgI2wHepiO9TFdqiL7VAX26EufdIWZeZmv4AdG7l+oL2oPLD0D8BEYARwPzC52XltYh2OAQ4GflcV+xJwbrF9LnBRs/Ossy6vAA4utrcBfg9MbuH6BLB1sT0cuAs4ArgSOKOIfwP4ULNz3YQ6fRz4IfA/xX4r1+VhYHS3WEt+1op8vwP8VbE9Ati+levTaq962hPgb4FvFNtnAD9udt5NvBd/DmxZbH9oMN+L4rxtgF8DdwJTmp13Ez8Xk4B7gR2K/Z2bnXcT78WlnW1q8bvQw83Ou4/uRc3vsd2Onwz8vPid6gjgrmbnPFBftkObfC9sh9Y/z3YobYe6nTMo2qGifqW3RQ2NeMvMZxu5fgA6DFiQmQszczVwBXBqk3PaJJn5ayqrGVU7lcp/win+fHO/JrWZMvPJzLyn2H4RmAeMpXXrk5m5vNgdXrwSOA64uoi3TIcwQrsAAAdYSURBVH0iYnfgjcA3i/2gReuyES35WYuI7ag0GJcBZObqzHyeFq1Pi6qnPan++7gaOL74OWo3vd6LzPxlZq4odu8Edu/nHPtLvb9nXAhcBKzsz+T6WT334q+BizPzOYDMXNzPOfaXeu5FAtsW29sBT/Rjfv1mA7/HVjsV+G7xO9WdwPYR8Yr+ya7l2A51sR3qYjvUxXaoi+1Qlb5oixqdatpuxgKPVe0vKmKtbpfMfLLYfgrYpZnJbI5i6PtBVEaJtWx9ojI18z5gMXAzlW8Wns/MtcUprfSZ+3fg00BHsb8TrVsXqDQmN0XErIg4u4i16mdtArAE+FYxHPybEbEVrVufVlRPe/LyOcXPzTIqP0ftZlPb1rOofIvYjnq9F8V0hXGZeX1/JtYE9Xwu9gb2jojbI+LOiJjab9n1r3ruxfnAuyNiEZXVLT/cP6kNOO36u3pfsB3qYjvUxXaoi+1QF9uhTbPJbZEdb4NMVsZGbv6KGk0QEVsDPwE+lpkvVB9rtfpk5rrMPJDKt2iHAfs0OaXNEhF/ASzOzFnNzqVEr83KYjFvAP5PRBxTfbDFPmvDqAyP/n+ZeRDwEpWppS9rsfpokIiIdwNTgC83O5dmiIghwFeBTzQ7lwFiGJVpPscC7wT+OyK2b2pGzfNO4NuZuTuVKS7fKz4vkkpkO2Q71I3tUBfboQZ4o9b3ODCuan/3Itbqnu4c+lj82TJDZCNiOJVOtx9k5k+LcMvWp1Mx7e+XwJFUhqYOKw61ymfuaOCUiHiYylDk44D/oDXrAkBmPl78uRi4hkrHaKt+1hYBizLzrmL/aiodca1an1ZUT3vy8jnFz812wNJ+ya5/1dW2RsQJwGeBUzJzVT/l1t96uxfbAPsDtxX/vh4BTGvTB1vX87lYBEzLzDWZ+Ucqz3qd1E/59ad67sVZVJ6jSmbeAYwCRvdLdgNLu/6u3hdsh7rYDnWxHepiO9TFdmjTbHJbZMfb+mYAk6KyMuMIKg8ZndbknMowDXhfsf0+4Nom5lK34hkTlwHzMvOrVYdatT5jOr8hiYgtgBOpPLful8BpxWktUZ/M/Exm7p6Ze1D5OflFZr6LFqwLQERsFRHbdG4DJwG/o0U/a5n5FPBYRLyqCB0PzKVF69Oi6mlPqv8+TqPyc9SOoxB7vRcRcRBwCZX/7LRzh/BG70VmLsvM0Zm5R/Hv651U7snM5qTbp+r5GfkZlVEGRMRoKlN+FvZnkv2knnvxKJV/y4mIfan8h2dJv2Y5MEwD3lusKHcEsKzqEQpan+1QF9uhLrZDXWyHutgObZpNb4t6W31hsL2oDJv8PZVnb3222flsRv4/Ap4E1lDpoT+LyrMabgUeAm6hRVajBV5LZSrcbOC+4nVyC9fnNVRWxZlNpVPnvCI+EbgbWABcBYxsdq6bWK9j6VrVtCXrUuR9f/Ga0/mz36qftSL3A4GZxeftZ8AOrVyfVnz11J4AF1D5BRYqv7BcVfy83A1MbHbOTbwXtwBPV/1bP63ZOTfrXnQ79zbadDW5Oj8XQWXK01zgAYpVs9vxVce9mAzcXrRT9wEnNTvnProPPf0e+0Hgg1WfiYuL+/RAO/989NPnynbIdsh2yHao3nsxKNqhoq6lt0VRXChJkiRJkiSpRE41lSRJkiRJkvqAHW+SJEmSJElSH7DjTZIkSZIkSeoDdrxJkiRJkiRJfcCON0mSJEmSJKkP2PEmbaaIWF78uUdEnFly2f/Qbf9/yyxfkiRJkiT1PTvepMbtAWxSx1tEDOvllPU63jLzqE3MSZIkSZIkNZkdb1Ljvgi8LiLui4i/i4ihEfHliJgREbMj4m8AIuLYiPhNREwD5haxn0XErIiYExFnF7EvAlsU5f2giHWOroui7N9FxAMR8Y6qsm+LiKsj4sGI+EFERBPuhSRJkiRJKvQ26kZS784FPpmZfwFQdKAty8xDI2IkcHtE3FScezCwf2b+sdj/QGY+GxFbADMi4ieZeW5EnJOZB/bwXm8FDgQOAEYX1/y6OHYQsB/wBHA7cDTw2/KrK0mSJEmS6uGIN6l8JwHvjYj7gLuAnYBJxbG7qzrdAD4SEfcDdwLjqs7bkNcCP8rMdZn5NPAr4NCqshdlZgdwH5UpsJIkSZIkqUkc8SaVL4APZ+aN6wUjjgVe6rZ/AnBkZq6IiNuAUQ2876qq7XX48y1JkiRJUlM54k1q3IvANlX7NwIfiojhABGxd0Rs1cN12wHPFZ1u+wBHVB1b03l9N78B3lE8R24McAxwdym1kCRJkiRJpXJEjNS42cC6Ysrot4H/oDLN855igYMlwJt7uO4G4IMRMQ+YT2W6aadLgdkRcU9mvqsqfg1wJHA/kMCnM/OpouNOkiRJkiQNIJGZzc5BkiRJkiRJajtONZUkSZIkSZL6gB1vkiRJkiRJUh+w402SJEmSJEnqA3a8SZIkSZIkSX3AjjdJkiRJkiSpD9jxJkmSJEmSJPUBO94kSZIkSZKkPmDHmyRJkiRJktQH/j9j8HfjMh7iggAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(models[0], num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 916.860\n", + "HoldoutPerplexityScore@text 1974.262\n", + "SparsityPhiScore@text 0.978\n", + "SparsityThetaScore 0.738\n", + "TopicKernel@text.average_contrast 0.762\n", + "TopicKernel@text.average_purity 0.849\n", + "TopicKernelSizeScore 479.500\n", + "ActiveTopicNumberScore_0 100.000\n", + "ActiveTopicNumberScore_1e-07 100.000\n", + "ActiveTopicNumberScore_0.001 100.000\n", + "TopTokensCoherenceScore_kernel_10 0.391\n", + "TopTokensCoherenceScore_kernel_50 0.222\n", + "TopTokensCoherenceScore_kernel_100 0.177\n" + ] + } + ], + "source": [ + "show_scores(models[0], SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model\n", + "\n", + "del decorrelation_tau_converter\n", + "del selection_tau_converter\n", + "del sparsing_tau_converter\n", + "\n", + "del cube_parameters\n", + "del cube" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sophisticated. Alternating Order\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Order of regularizers is going to be changed here: on iterations with odd number we decorrelate, on iterations with even number we select topics." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def decorrelation_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter <= NUM_CUBE_ITERATIONS:\n", + " if cur_iter % 2 == 1:\n", + " return DECORRELATION_TAU\n", + " else:\n", + " return 0.0\n", + " else:\n", + " return 0.0\n", + "\n", + "def selection_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter <= NUM_CUBE_ITERATIONS:\n", + " return 0.0\n", + " elif cur_iter <= 2 * NUM_CUBE_ITERATIONS:\n", + " if cur_iter % 2 == 1:\n", + " return 0.0\n", + " else:\n", + " return SELECTION_TAU\n", + " else:\n", + " return 0.0\n", + "\n", + "def sparsing_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " if cur_iter > 2 * NUM_CUBE_ITERATIONS: \n", + " return SPARSING_TAU\n", + " else:\n", + " return 0.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cube_parameters = [\n", + " {\n", + " 'reg_name': DECORRELATE_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': decorrelation_tau_converter,\n", + " 'user_value_grid': [0]\n", + " },\n", + " {\n", + " 'reg_name': SELECT_TOPICS,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': selection_tau_converter,\n", + " 'user_value_grid': [0]\n", + " },\n", + " {\n", + " 'reg_name': SPARSE_PHI_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': sparsing_tau_converter,\n", + " 'user_value_grid': [0]\n", + " }\n", + "]\n", + "\n", + "cube = RegularizationControllerCube(\n", + " num_iter=3 * NUM_CUBE_ITERATIONS,\n", + " parameters=cube_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 10min 40s, sys: 35.1 s, total: 11min 15s\n", + "Wall time: 9min 2s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "models = cube(topic_model, dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(models[0], num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 913.721\n", + "HoldoutPerplexityScore@text 1971.488\n", + "SparsityPhiScore@text 0.978\n", + "SparsityThetaScore 0.741\n", + "TopicKernel@text.average_contrast 0.762\n", + "TopicKernel@text.average_purity 0.850\n", + "TopicKernelSizeScore 474.000\n", + "ActiveTopicNumberScore_0 100.000\n", + "ActiveTopicNumberScore_1e-07 100.000\n", + "ActiveTopicNumberScore_0.001 100.000\n", + "TopTokensCoherenceScore_kernel_10 0.472\n", + "TopTokensCoherenceScore_kernel_50 0.221\n", + "TopTokensCoherenceScore_kernel_100 0.179\n" + ] + } + ], + "source": [ + "show_scores(models[0], SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model\n", + "\n", + "del decorrelation_tau_converter\n", + "del selection_tau_converter\n", + "del sparsing_tau_converter\n", + "\n", + "del cube_parameters\n", + "del cube" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sophisticated. Alternating Order & Changing Parameters\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we will try to create a training procedure similar to the one described in the paper \n", + "[Additive Regularization of Topic Models for Topic Selection and Sparse Factorization](https://userpages.umbc.edu/~kogan/teaching/m710/15fall/papers/Voron15slds.pdf) by K. Vorontsov, A. Potapenko, and A. Plavin" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Order as well as regularizer parameters are going to be changed here." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def decorrelation_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " end_iteration = 2 * NUM_CUBE_ITERATIONS\n", + "\n", + " if cur_iter <= end_iteration:\n", + " if cur_iter % 2 == 1:\n", + " return max(1, cur_iter / NUM_CUBE_ITERATIONS) * DECORRELATION_TAU\n", + " else:\n", + " return 0.0\n", + " else:\n", + " return 0.0\n", + "\n", + "def selection_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " start_iteration = NUM_CUBE_ITERATIONS // 4 # after some time since decorrelation started\n", + " end_iteration = 2 * NUM_CUBE_ITERATIONS + 3 * NUM_CUBE_ITERATIONS // 4\n", + "\n", + " if cur_iter <= start_iteration:\n", + " return 0.0\n", + " elif cur_iter <= end_iteration:\n", + " if cur_iter % 2 == 1:\n", + " return 0.0\n", + " else:\n", + " return max(1, (cur_iter - start_iteration) / NUM_CUBE_ITERATIONS) * SELECTION_TAU\n", + " else:\n", + " return 0.0\n", + "\n", + "def sparsing_tau_converter(initial_tau, prev_tau, cur_iter, user_value):\n", + " start_iteration = 2 * NUM_CUBE_ITERATIONS\n", + "\n", + " if cur_iter > start_iteration: \n", + " return max(1, (cur_iter - start_iteration) / NUM_CUBE_ITERATIONS) * SPARSING_TAU\n", + " else:\n", + " return 0.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cube_parameters = [\n", + " {\n", + " 'reg_name': DECORRELATE_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': decorrelation_tau_converter,\n", + " 'user_value_grid': [0]\n", + " },\n", + " {\n", + " 'reg_name': SELECT_TOPICS,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': selection_tau_converter,\n", + " 'user_value_grid': [0]\n", + " },\n", + " {\n", + " 'reg_name': SPARSE_PHI_SPECIFIC,\n", + " 'score_to_track': PERPLEXITY_SCORE + MODALITY,\n", + " 'tau_converter': sparsing_tau_converter,\n", + " 'user_value_grid': [0]\n", + " }\n", + "]\n", + "\n", + "cube = RegularizationControllerCube(\n", + " num_iter=3 * NUM_CUBE_ITERATIONS,\n", + " parameters=cube_parameters,\n", + " reg_search='grid',\n", + " use_relative_coefficients=False,\n", + " separate_thread=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "To toggle on/off output_stderr, click here." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "enable_hide_warnings()\n", + "\n", + "topic_model = initialize_topic_model()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 11min 2s, sys: 31.1 s, total: 11min 33s\n", + "Wall time: 9min 25s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "models = cube(topic_model, dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "draw_plots(models[0], num_cols=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PerplexityScore@text 800.836\n", + "HoldoutPerplexityScore@text 1463.886\n", + "SparsityPhiScore@text 0.985\n", + "SparsityThetaScore 0.826\n", + "TopicKernel@text.average_contrast 0.495\n", + "TopicKernel@text.average_purity 0.539\n", + "TopicKernelSizeScore 451.000\n", + "ActiveTopicNumberScore_0 59.000\n", + "ActiveTopicNumberScore_1e-07 59.000\n", + "ActiveTopicNumberScore_0.001 59.000\n", + "TopTokensCoherenceScore_kernel_10 0.414\n", + "TopTokensCoherenceScore_kernel_50 0.220\n", + "TopTokensCoherenceScore_kernel_100 0.168\n" + ] + } + ], + "source": [ + "show_scores(models[0], SCORES)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "del topic_model\n", + "\n", + "del decorrelation_tau_converter\n", + "del selection_tau_converter\n", + "del sparsing_tau_converter\n", + "\n", + "del cube_parameters\n", + "del cube" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Results\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's compare the results which we got using different regularizer combinations.\n", + "Below in table D stands for Decorrelation, TS for Topic Selection, ATN for Active Topic Number, S for Sophisticated, OAA for One After Another, CP for Changing Parameters, AO for Alternating Order\n", + "\n", + "| Method | Perplexity | Holdout Perplexity | ATN (0) | Coherence (10) | Coherence (50) | Coherence (100) |\n", + "| --- | --- | --- | --- | --- | --- | --- |\n", + "| D, TS | 916 | 1965 | 99 | 0.46 | 0.23 | 0.18 |\n", + "| TS, D | 1010 | 2140 | 87 | 0.38 | 0.21 | 0.17 |\n", + "| D + TS (short) | 1016 | 2134 | 88 | 0.41 | 0.20 | 0.17 |\n", + "| D + TS (long) | 1020 | 2151 | 85 | 0.40 | 0.20 | 0.17 |\n", + "| S (OAA) | 915 | 1964 | 99 | 0.43 | 0.23 | 0.18 |\n", + "| S (CP) | 917 | 1974 | 100 | 0.39 | 0.22 | 0.18 |\n", + "| S (AO) | 914 | 1971 | 100 | **0.47** | 0.22 | 0.18 |\n", + "| S (AO + CP) | **800** | **1463** | **59** | 0.41 | 0.22 | 0.17 |\n", + "\n", + "As one can see, the last Sophisticated variant AO + CP led to the lowest perplexities.\n", + "Just no less importantly, many topics were thrown away, and, as a result, we got the closest to optimal 20 number of topics: 59.\n", + "It indeed seems notable: model with smaller number of topics showed perplexity significantly lower than models with higher number of topics.\n", + "And the coherence, although not the maximum, is still high." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Conclusion\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finding the optimal, *true* number of topics in the text collection is an ulsolved task.\n", + "Here we considered one approach using implemented in BigARTM regularizer (see [paper](https://userpages.umbc.edu/~kogan/teaching/m710/15fall/papers/Voron15slds.pdf)).\n", + "However, there may be many approaches to handle the task.\n", + "For example, one may vary the number of topics and choose such a number which gives the highest score (Perplexity for example).\n", + "There are also more interesting ideas, such as applying such notion as *entropy* (see [paper](https://www.researchgate.net/profile/Sergei_Koltsov2/publication/337427975_5th_International_Electronic_Conference_on_Entropy_and_Its_Applications_Fast_tuning_of_topic_models_an_application_of_Renyi_entropy_and_renormalization_theory/links/5dd6d6bf458515dc2f41e248/5th-International-Electronic-Conference-on-Entropy-and-Its-Applications-Fast-tuning-of-topic-models-an-application-of-Renyi-entropy-and-renormalization-theory.pdf))\n", + "\n", + "On the other hand, in general it’s not entirely clear whether it is possible to talk about such a concept as the *optimal number of topics*.\n", + "Topic in human understanding is not a strictly defined concept.\n", + "Moreover, each topic may have parent and child ones, that is there may be different optimal numbers of topics depending on what level of topic hierarchy we are interested in.\n", + "\n", + "Nevertheless, it is also wrong to choose the number of topics absolutely at random.\n", + "One should have at least some prior knowledge about the dataset.\n", + "\n", + "TopicNet library provides convenient ways of combining different regularizers (including the one which helps to select the number of topics).\n", + "Changing order of regularizers, varying regularizer parameters — all these things can relatively easily be implemented with TopicNet.\n", + "It gives opportunity to create complex learning strategies and get better topic models." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "P.S. \n", + "If you uncomment and execute the code in the cell below, it will delete the working directory with all the created files in it" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# shutil.rmtree(working_directory)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Appendix. Non-Topic Modeling Baseline\n", + "\n", + "
    Back to Contents
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this appendix there is just an example of how one can try to determine the topic number without topic modeling at all, using only several tools from Scikit-learn.\n", + "Let us call this approach \"Scikit-learn pipeline\" based." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.feature_extraction.text import TfidfTransformer\n", + "from sklearn.decomposition import TruncatedSVD\n", + "from sklearn.cluster import DBSCAN\n", + "\n", + "from munkres import Munkres" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(7847, 22772)\n", + "CPU times: user 97 ms, sys: 103 ms, total: 200 ms\n", + "Wall time: 163 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "count_vectorizer = CountVectorizer()\n", + "X_train_counts = count_vectorizer.fit_transform(good_train_document_texts)\n", + "\n", + "print(X_train_counts.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(7847, 22772)\n", + "CPU times: user 3.13 ms, sys: 11.2 ms, total: 14.4 ms\n", + "Wall time: 10.4 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "tfidf_transformer = TfidfTransformer(use_idf=False)\n", + "X_train_tfidf = tfidf_transformer.fit_transform(X_train_counts)\n", + "\n", + "print(X_train_tfidf.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(7847, 1000)\n", + "CPU times: user 1min 56s, sys: 0 ns, total: 1min 56s\n", + "Wall time: 10.9 s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "# Maybe also worth trying sklearn.manifold.TSNE, but it is much slower\n", + "\n", + "truncated_svd_transformer = TruncatedSVD(n_components=1000)\n", + "X_train_truncated = truncated_svd_transformer.fit_transform(X_train_tfidf)\n", + "\n", + "print(X_train_truncated.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_clusters(min_samples, eps=0.5):\n", + " dbscan_clusterizer = DBSCAN(eps=eps, min_samples=min_samples, metric='cosine')\n", + " dbscan_clusterizer.fit(X_train_truncated)\n", + "\n", + " return dbscan_clusterizer.labels_" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 13.7 s, sys: 21.8 ms, total: 13.7 s\n", + "Wall time: 798 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "labels = compute_clusters(min_samples=6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Number of documents" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7847" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(good_train_document_indices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Number of labels (should be the same as the number of documents)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7847" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Number of clusters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "120" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(set(labels))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Number of documents the algorithm failed to assign a topic to " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1853" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len([c for c in labels if c == -1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "BAD_CLUSTER = -1\n", + "NUM_ORIGINAL_TOPICS = len(set(train_dataset.target))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "20" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "NUM_ORIGINAL_TOPICS" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we need to match clusters to original topics: which cluster corresponds to which topic.\n", + "Below we calculate `hits_matrix`: how many common documents have original topics and clusters." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_hits_matrix(labels, document_indices, true_labels):\n", + " candidate_topics = set(labels).difference(set([BAD_CLUSTER]))\n", + "\n", + " hits_matrix = np.zeros((len(candidate_topics), NUM_ORIGINAL_TOPICS))\n", + "\n", + " for candidate_topic_index, candidate_topic in enumerate(sorted(candidate_topics)):\n", + " for true_topic_index, true_topic in enumerate(sorted(set(true_labels))):\n", + " docs_set_a = set([\n", + " i for i in document_indices if true_labels[i] == true_topic\n", + " ])\n", + " docs_set_b = set([\n", + " i for j, i in enumerate(document_indices) if labels[j] == candidate_topic\n", + " ])\n", + "\n", + " num_hits = len(docs_set_a.intersection(docs_set_b))\n", + "\n", + " hits_matrix[candidate_topic_index, true_topic_index] = num_hits\n", + " \n", + " return hits_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "hits_matrix = compute_hits_matrix(labels, good_train_document_indices, train_dataset.target)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And now, using the [Hungarian algorithm](https://en.wikipedia.org/wiki/Hungarian_algorithm), we are going to find the matching.\n", + "\n", + "* http://software.clapper.org/munkres/#calculating-profit-rather-than-cost" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_cost_matrix(hits_matrix):\n", + " cost_matrix = []\n", + "\n", + " for row in hits_matrix:\n", + " cost_row = []\n", + "\n", + " for col in row:\n", + " cost_row += [sys.maxsize - col]\n", + "\n", + " cost_matrix += [cost_row]\n", + " \n", + " return cost_matrix\n", + "\n", + "\n", + "def compute_total_hits_number(hits_matrix):\n", + " cost_matrix = compute_cost_matrix(hits_matrix)\n", + " \n", + " m = Munkres()\n", + " indexes = m.compute(cost_matrix)\n", + "\n", + " total_hits_num = 0\n", + "\n", + " for row, column in indexes:\n", + " num_hits = hits_matrix[row][column]\n", + " total_hits_num += num_hits\n", + "\n", + " return total_hits_num" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of correctly thematized documents = 215.0\n" + ] + } + ], + "source": [ + "hits_number = compute_total_hits_number(hits_matrix)\n", + "\n", + "print(f'Total number of correctly thematized documents = {hits_number}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Seems not very good...\n", + "Let's try to vary the parameters of DBSCAN algorithm a little bit." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/25, 2/25, 3/25, 4/25, 5/25, 6/25, 7/25, 8/25, 9/25, 10/25, 11/25, 12/25, 13/25, 14/25, 15/25, 16/25, 17/25, 18/25, 19/25, 20/25, 21/25, 22/25, 23/25, 24/25, 25/25\n", + "CPU times: user 9min 2s, sys: 7.81 s, total: 9min 10s\n", + "Wall time: 2min 27s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "hits_numbers = dict()\n", + "num_topics = dict()\n", + "\n", + "max_num_min_samples = 25\n", + "nums_min_samples = list(range(1, max_num_min_samples + 1))\n", + "\n", + "for num_min_samples in nums_min_samples:\n", + " if num_min_samples < max_num_min_samples:\n", + " end = ', '\n", + " else:\n", + " end = '\\n'\n", + "\n", + " print(f'{num_min_samples}/{max_num_min_samples}', end=end)\n", + "\n", + " labels = compute_clusters(min_samples=num_min_samples)\n", + " \n", + " candidate_topics = set(labels).difference(set([BAD_CLUSTER]))\n", + " \n", + " if len(candidate_topics) == 0:\n", + " hits_numbers[num_min_samples] = 0\n", + " num_topics[num_min_samples] = 0\n", + " \n", + " continue\n", + "\n", + " hits_matrix = compute_hits_matrix(labels, good_train_document_indices, train_dataset.target)\n", + " hits_number = compute_total_hits_number(hits_matrix)\n", + "\n", + " hits_numbers[num_min_samples] = hits_number\n", + " num_topics[num_min_samples] = len(candidate_topics)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=SMALL_FIGSIZE)\n", + "\n", + "x = nums_min_samples\n", + "y = [hits_numbers[num_min_samples] for num_min_samples in x]\n", + "\n", + "plt.plot(x, y, lw=LINEWIDTH)\n", + "\n", + "plt.vlines(4, min(y), max(y), linestyle='--', color='r')\n", + "plt.vlines(10, min(y), max(y), linestyle='--', color='r')\n", + "plt.vlines(14, min(y), max(y), linestyle='--', color='r')\n", + "plt.vlines(16, min(y), max(y), linestyle='--', color='r')\n", + "\n", + "plt.xlabel('DBSCAN\\'s min_samples', labelpad=LABELPAD)\n", + "plt.ylabel('Number\\nof correctly thematized documents', labelpad=LABELPAD)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see several peaks on the above plot: with `min_samples = 4, 10, 14, 16`, and besides `min_samples = 4, 14` give sharper peaks.\n", + "\n", + "P.S. \n", + "If you restart the notebook or run the above cells several times, the picture will change and optimal `min_samples` will be a bit different, but there is a high probability that there still will be two main peaks: near `min_samples` equals 4 and `min_samples` equals 14." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "candidate_min_samples = [4, 10, 14, 16]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min_samples = 4, number of topics = 74\n", + "min_samples = 10, number of topics = 154\n", + "min_samples = 14, number of topics = 36\n", + "min_samples = 16, number of topics = 16\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=SMALL_FIGSIZE)\n", + "\n", + "x = nums_min_samples\n", + "y = [num_topics[num_min_samples] for num_min_samples in x]\n", + "\n", + "plt.plot(x, y, lw=LINEWIDTH)\n", + "\n", + "for min_samples in candidate_min_samples:\n", + " plt.vlines(min_samples, min(y), max(y), linestyle='--', color='r')\n", + " \n", + " print(f'min_samples = {min_samples:2d}, number of topics = {y[x.index(min_samples)]:3d}')\n", + "\n", + "plt.xlabel('DBSCAN\\'s min_samples', labelpad=LABELPAD)\n", + "plt.ylabel('Number of found topics', labelpad=LABELPAD)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Thus, the number of topics according to this approach is somewhere between 16 and 154.\n", + "Two distinct points are number of topics equals 74 (with `min_samples = 4`) and 36 (with `min_samples = 14`)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For this particular dataset the result seems quite good.\n", + "However, in order to find the best way to determine the number of topics more thorough research is needed." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/topicnet/demos/RTL-WIKI-BuildingTopicModel.ipynb b/topicnet/demos/RTL-WIKI-BuildingTopicModel.ipynb index f3885cd..0d291ff 100644 --- a/topicnet/demos/RTL-WIKI-BuildingTopicModel.ipynb +++ b/topicnet/demos/RTL-WIKI-BuildingTopicModel.ipynb @@ -799,9 +799,8 @@ "metadata": {}, "outputs": [], "source": [ - "thresh = 1e-5\n", "last_model_top_tok = TopTokensViewer(last_model, num_top_tokens=10, method='phi')\n", - "last_model_html = last_model_top_tok.to_html(last_model_top_tok.view(),thresh=thresh)\n" + "last_model_html = last_model_top_tok.to_html()\n" ] }, { @@ -1553,8 +1552,9 @@ ], "source": [ "n=7\n", - "for line, topic_docs in list(zip(last_model_html, last_model_top_doc))[:n]:\n", - " display_html(line, raw=True)\n", + "for topic_name, topic_docs in list(zip(last_model.topic_names, last_model_top_doc))[:n]:\n", + " last_model_html = last_model_top_tok.to_html(topic_names=[topic_name])\n", + " display_html(last_model_html, raw=True)\n", " display(topic_docs)" ] }, @@ -1682,7 +1682,8 @@ } ], "source": [ - "display_html(last_model_html[-1], raw=True)\n", + "last_model_html = last_model_top_tok.to_html(topic_names=['background_15'])\n", + "display_html(last_model_html, raw=True)\n", " \n", "topic_docs = last_model_top_doc[-1]\n", "topic_docs = [str(topic) for topic in topic_docs]\n", @@ -1912,8 +1913,8 @@ "outputs": [], "source": [ "first_model_top_tok = TopTokensViewer(best_model, num_top_tokens=10, method='phi')\n", - "first_model_html = first_model_top_tok.to_html(first_model_top_tok.view(),thresh=thresh)\n", - "first_model_top_doc = TopDocumentsViewer(best_model, dataset=demo_data).view()\n" + "first_model_html = first_model_top_tok.to_html()\n", + "first_model_top_doc = TopDocumentsViewer(best_model, dataset=demo_data).view()" ] }, { @@ -2646,130 +2647,13 @@ } ], "source": [ - "from IPython.display import clear_output, display_html\n", - "\n", "n=7\n", - "for line, topic_docs in list(zip(first_model_html, first_model_top_doc))[:n]:\n", - " display_html(line, raw=True)\n", + "for topic_name, topic_docs in list(zip(best_model.topic_names, first_model_top_doc))[:n]:\n", + " best_model_html = first_model_top_tok.to_html(topic_names=[topic_name])\n", + " display_html(best_model_html, raw=True)\n", " display(topic_docs)" ] }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
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    would0.00452
    year0.00448
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Josef_Terboven\n", - "Charles_Tupper\n", - "Louis_St\n", - "Hans_Gerhard_Creutzfeldt\n", - "Benjamin_Disraeli\n", - "Michael_Foot\n", - "Henry_Bruce,_1st_Baron_Aberdare\n", - "Clement_Attlee\n", - "Alexander_Mackenzie\n", - "Mackenzie_Bowell\n" - ] - } - ], - "source": [ - "display_html(first_model_html[-1], raw=True)\n", - " \n", - "topic_docs = first_model_top_doc[-1]\n", - "topic_docs = [str(topic) for topic in topic_docs]\n", - "for doc_id in topic_docs:\n", - " print(doc_id)\n" - ] - }, { "cell_type": "markdown", "metadata": {}, diff --git a/topicnet/demos/RTL-WIKI-PREPROCESSING.ipynb b/topicnet/demos/RTL-WIKI-PREPROCESSING.ipynb index 5ce5675..cb433e3 100644 --- a/topicnet/demos/RTL-WIKI-PREPROCESSING.ipynb +++ b/topicnet/demos/RTL-WIKI-PREPROCESSING.ipynb @@ -34,15 +34,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2019-10-24 17:29:59-- http://139.18.2.164/mroeder/palmetto/datasets/rtl-wiki.tar.gz\n", + "--2020-01-25 23:56:21-- http://139.18.2.164/mroeder/palmetto/datasets/rtl-wiki.tar.gz\n", "Connecting to 139.18.2.164:80... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 176728881 (169M) [application/octet-stream]\n", "Saving to: ‘rtl-wiki.tar.gz’\n", "\n", - "rtl-wiki.tar.gz 100%[===================>] 168,54M 14,3MB/s in 16s \n", + "rtl-wiki.tar.gz 100%[===================>] 168,54M 12,5MB/s in 12s \n", "\n", - "2019-10-24 17:30:16 (10,3 MB/s) - ‘rtl-wiki.tar.gz’ saved [176728881/176728881]\n", + "2020-01-25 23:56:34 (13,6 MB/s) - ‘rtl-wiki.tar.gz’ saved [176728881/176728881]\n", "\n" ] } @@ -79,8 +79,8 @@ "remote: Enumerating objects: 34, done.\u001b[K\n", "remote: Counting objects: 100% (34/34), done.\u001b[K\n", "remote: Compressing objects: 100% (25/25), done.\u001b[K\n", - "remote: Total 5756 (delta 15), reused 19 (delta 9), pack-reused 5722\u001b[K\n", - "Receiving objects: 100% (5756/5756), 1.75 MiB | 2.44 MiB/s, done.\n", + "remote: Total 5756 (delta 15), reused 19 (delta 9), pack-reused 5722\n", + "Receiving objects: 100% (5756/5756), 1.75 MiB | 2.78 MiB/s, done.\n", "Resolving deltas: 100% (3987/3987), done.\n" ] } @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -116,22 +116,31 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "! mkdir persons" + "dir_name = \"persons\"" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "! mkdir $dir_name" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b73d6439d44b48bbb1f57f2c07289f78", + "model_id": "6fce07b982a846168621e66832d36bbc", "version_major": 2, "version_minor": 0 }, @@ -166,19 +175,23 @@ " text = soup.findAll('textarea', id=\"wpTextbox1\")[0].contents[0]\n", " text = text.replace(\"&\", \"&\").replace('<', '<').replace('>', '>')\n", " wikicode = mwparserfromhell.parse(text)\n", - " for node in wikicode.nodes:\n", - " entry_type = str(type(node))\n", - " if \"Wikilink\" in entry_type:\n", - " special_link_name, _, cat_name = node.title.lower().strip().partition(\":\")\n", - " if special_link_name == \"category\":\n", - " if demography_re.match(cat_name):\n", + " if dir_name == \"persons\":\n", + " for node in wikicode.nodes:\n", + " entry_type = str(type(node))\n", + " if \"Wikilink\" in entry_type:\n", + " special_link_name, _, cat_name = node.title.lower().strip().partition(\":\")\n", + " if special_link_name == \"category\":\n", + " if demography_re.match(cat_name):\n", + " is_about_person = True\n", + " if \"Template\" in entry_type:\n", + " name = str(node.name).lower().strip()\n", + " if name in person_infoboxes:\n", " is_about_person = True\n", - " if \"Template\" in entry_type:\n", - " name = str(node.name).lower().strip()\n", - " if name in person_infoboxes:\n", - " is_about_person = True\n", - " if is_about_person:\n", - " with open(f\"persons/{doc_id}\", \"w\") as f2:\n", + " should_be_saved = is_about_person\n", + " else:\n", + " should_be_saved = True\n", + " if should_be_saved:\n", + " with open(f\"{dir_name}/{doc_id}\", \"w\") as f2:\n", " stripped_text = wikicode.strip_code()\n", " f2.write(stripped_text)\n" ] @@ -192,7 +205,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -213,7 +226,7 @@ } ], "source": [ - "! head persons/Eusebius.txt" + "! head $dir_name/Eusebius.txt" ] }, { @@ -227,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -241,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -250,23 +263,23 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "files = glob('persons/' + '*.txt')\n" + "files = glob(dir_name + '/*.txt')\n" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "data = []\n", "for path in files:\n", " entry = {}\n", - " entry['id'] = path.split('/')[-1].split('.')[0]\n", + " entry['id'] = path.split('/')[-1].rpartition(\".\")[0]\n", " with open(path, 'r') as f:\n", " entry['raw_text'] = \" \".join(line.strip() for line in f.readlines())\n", " data.append(entry)\n", @@ -276,14 +289,31 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], + "source": [ + "from tqdm import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1201/1201 [01:37<00:00, 12.29it/s]\n" + ] + } + ], "source": [ "\n", "tokenized_text = []\n", "\n", - "for text in wiki_texts['raw_text'].values:\n", + "for text in tqdm(wiki_texts['raw_text'].values):\n", " tokens = nltk.wordpunct_tokenize(text.lower())\n", " tokenized_text.append(nltk.pos_tag(tokens))\n", "wiki_texts['tokenized'] = tokenized_text" diff --git a/topicnet/demos/topic_prior_regularizer_tutorial.ipynb b/topicnet/demos/topic_prior_regularizer_tutorial.ipynb index 84436fc..021d6cf 100644 --- a/topicnet/demos/topic_prior_regularizer_tutorial.ipynb +++ b/topicnet/demos/topic_prior_regularizer_tutorial.ipynb @@ -44,9 +44,11 @@ "from topicnet.cooking_machine.dataset import Dataset\n", "\n", "from topicnet.cooking_machine.models import TopicModel\n", + "from topicnet.cooking_machine.models.semantic_radius_score import SemanticRadiusScore\n", "from topicnet.cooking_machine.models.topic_prior_regularizer import TopicPriorRegularizer\n", "from topicnet.cooking_machine.models.topic_prior_regularizer import TopicPriorSampledRegularizer\n", "\n", + "\n", "from topicnet.viewers.top_tokens_viewer import TopTokensViewer\n", "from topicnet.viewers.top_documents_viewer import TopDocumentsViewer" ] @@ -69,16 +71,7 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "../../topicnet/cooking_machine/dataset.py:343: UserWarning: Attempted to use batches for different dataset.Overwriting batches in data/lenta_1000_100_batches\n", - " warnings.warn(W_DIFF_BATCHES_1 + W_DIFF_BATCHES_2.format(batch_vectorizer_path))\n" - ] - } - ], + "outputs": [], "source": [ "DATA_PATH = 'data/lenta_1000_100.csv'\n", "\n", @@ -89,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -101,7 +94,7 @@ "Name: id, dtype: int64" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -119,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -215,7 +208,7 @@ "Музыка 100 100 100 100 " ] }, - "execution_count": 125, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -226,7 +219,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -235,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -250,7 +243,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -260,7 +253,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -271,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -302,16 +295,16 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 18, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, @@ -348,7 +341,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 12, "metadata": { "scrolled": true }, @@ -386,9 +379,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Topic 0:\n", + "\n", + "Top ngramms: миллиард_рубль, _, миллиард_доллар, миллион_доллар, процент_акция, миллион_рубль, пресс_релиз, совет_директор, ценный_бумага, прошлое_год\n", + "\n", + "Top words: ., , год, компания, что, процент, В, быть, миллиард, рубль\n", + "\n", + "\n", + "Topic 1:\n", + "\n", + "Top ngramms: _, пресс_релиз, миллиард_кубометр, пресс_служба, российский_компания, тысяча_рубль, турецкий_поток, миллиард_доллар, миллион_рубль, санкт_петербург\n", + "\n", + "Top words: ., , что, год, быть, В, компания, российский, россия, газпром\n", + "\n", + "\n" + ] + } + ], "source": [ "tokens_viewer_unbalanced = TopTokensViewer(model=topic_model_lenta_unbalanced, num_top_tokens=10)\n", "top_tokens_dict_unbalanced = tokens_viewer_unbalanced.view()\n", @@ -398,6 +412,77 @@ " str(topic_id), ', '.join(topic['ngramms'].keys()), ', '.join(topic['text'].keys())\n", " ))" ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# Вычисление радиусов семантической однородности требует времени\n", + "\n", + "score = SemanticRadiusScore(batch_vectorizer=batch_vectorizer_lenta)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 3min 13s, sys: 46 s, total: 3min 59s\n", + "Wall time: 2min 33s\n" + ] + }, + { + "data": { + "text/plain": [ + "[115.3279217051616, 850.0191702090277]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "\n", + "score.call(topic_model_lenta)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 2min 50s, sys: 44.2 s, total: 3min 34s\n", + "Wall time: 2min 11s\n" + ] + }, + { + "data": { + "text/plain": [ + "[574.0395802870606, 448.1119428664679]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "\n", + "score.call(topic_model_lenta_unbalanced)" + ] } ], "metadata": { diff --git a/topicnet/tests/test_cube_controller.py b/topicnet/tests/test_cube_controller.py index ed14ba3..36d5c5a 100644 --- a/topicnet/tests/test_cube_controller.py +++ b/topicnet/tests/test_cube_controller.py @@ -160,8 +160,9 @@ def experiment_enviroment(request): dictionary=dictionary, ) - specific_topic_names = [t for t in model_artm.topic_names if "background" not in t] - background_topic_names = [t for t in model_artm.topic_names if "background" in t] + tm = TopicModel(model_artm, model_id='new_id') + specific_topic_names = tm.specific_topics + background_topic_names = tm.background_topics sparse_regs = generate_sparse_regularizers( specific_topic_names, background_topic_names, @@ -170,15 +171,14 @@ def experiment_enviroment(request): specific_topic_names, background_topic_names, ) for regularizer in sparse_regs + decor_regs: - model_artm.regularizers.add(regularizer, overwrite=True) + tm._model.regularizers.add(regularizer, overwrite=True) add_standard_scores( - model_artm, dictionary, + tm._model, dictionary, main_modality=MAIN_MODALITY, all_modalities=[MAIN_MODALITY, NGRAM_MODALITY] ) - tm = TopicModel(model_artm, model_id='new_id') experiment = Experiment(experiment_id="test_controller", save_path="tests/experiments", topic_model=tm) diff --git a/topicnet/tests/test_cubes.py b/topicnet/tests/test_cubes.py index 6e67330..f7e4bcd 100644 --- a/topicnet/tests/test_cubes.py +++ b/topicnet/tests/test_cubes.py @@ -134,8 +134,10 @@ def test_simple_experiment_pair_strategy(experiment_enviroment, thread_flag): separate_thread=thread_flag ) dummies = cube_pair(tm, dataset) + for dummy in dummies: - print(dummy._original_model_save_folder_path) + print(dummy._save_path) + tmodels_pair = [dummy.restore() for dummy in dummies] print(dummies) diff --git a/topicnet/tests/test_top_tokens_viewer.py b/topicnet/tests/test_top_tokens_viewer.py index ddcabbe..c5a6762 100644 --- a/topicnet/tests/test_top_tokens_viewer.py +++ b/topicnet/tests/test_top_tokens_viewer.py @@ -248,6 +248,17 @@ def test_check_scoring_methods_differ(self): num_unique_tokens_scores_sequences, num_scoring_methods) + def test_check_html(self): + """ """ + viewer = TestTopTokensViewer.get_top_tokens_viewer(method='phi') + output = viewer.to_html() + assert CLASS_IDS[0] in output + for i, topic in enumerate(TOPIC_NAMES): + other_topic = TOPIC_NAMES[i - 1] + output = viewer.to_html(topic_names=[topic]) + assert topic in output + assert other_topic not in output + def test_check_not_possible_to_pass_wrong_scoring_method(self): """ """ with pytest.raises(ValueError): diff --git a/topicnet/topicnet_doc_generation/README.md b/topicnet/topicnet_doc_generation/README.md index d281982..405378b 100644 --- a/topicnet/topicnet_doc_generation/README.md +++ b/topicnet/topicnet_doc_generation/README.md @@ -1,7 +1,6 @@ -### Документация +# Документация - -Документация создана при помощи модуля ```pdoc3```: +Документация создана при помощи модуля `pdoc3`: ``` pip install pdoc3 @@ -11,22 +10,26 @@ pip install pdoc3 ``` pdoc --html -o topicnet_documentation/ -c show_source_code=False --force ../topicnet ``` -внутри папки ```topicnet```. +внутри папки `topicnet`. Обычно достаточно команды ``` pdoc --html -o topicnet_doc_generation/ --force ../topicnet ``` -### Readme - -При необходимости все Markdown-файлы могут быть добавлены в -текстовом виде в документацию. +Для добавления Markdown файлов в документацию запустите скрипт +`insert_md.sh` из папки `topicnet_doc_documentation`. +Скрипт использует модуль `pandoc` для ковертации *md* в *html*. -Для добавления *md* в документацию запустите скрипт ```insert_md.sh``` из папки ```topicnet_documentation```. Скрипт использует модуль ```pandoc``` для ковертации *md* в *html*. +Внимание! +Скрипт надо запускать только один раз. +При повторном запуске скрипта md текст будет вставляться повторно, +после уже сделанной предыдущей вставки. -### Проблемы +## Проблемы -#### ```pdoc``` не распознает команду. +* `pdoc` не распознает команду. +Проверьте, что установлена версия `pdoc 0.6.3`. -Проверьте, что установлена версия ```pdoc 0.6.3```. +* Скрипт по встраиванию Markdown отрабатывает с ошибкой. +Скорее всего, это нормально: надо немного доработать скрипт, чтобы он не пытался искать html в тех папках, где его нет. diff --git a/topicnet/topicnet_doc_generation/transform_replace.sh b/topicnet/topicnet_doc_generation/transform_replace.sh index c6b494d..73aac3a 100755 --- a/topicnet/topicnet_doc_generation/transform_replace.sh +++ b/topicnet/topicnet_doc_generation/transform_replace.sh @@ -4,6 +4,8 @@ DIR=$(dirname "$1") DIR=${DIR#..\/..\/} +echo $DIR + pandoc -f markdown -t html $1 -o $DIR/htmled.html # echo "created html-file from markdown $1 in $DIR" # ls $DIR diff --git a/topicnet/viewers/top_tokens_viewer.py b/topicnet/viewers/top_tokens_viewer.py index 40b0a35..aee4e2c 100644 --- a/topicnet/viewers/top_tokens_viewer.py +++ b/topicnet/viewers/top_tokens_viewer.py @@ -253,6 +253,13 @@ def compute_clusters_top_tokens_by_clusters_tfidf( return cluster_top_tokens +# TODO: check why this better than plain df.to_html() +def convert_df_to_html(df): + return df.style\ + .set_table_attributes("style='display:inline'")\ + ._repr_html_() + + class TopTokensViewer(BaseViewer): """Gets top tokens from topic (sorted by scores)""" def __init__(self, @@ -410,7 +417,8 @@ def to_html( topic_top_tokens=None, topic_names: List[str] = None, digits: int = 5, - thresh: float = None) -> str: + thresh: float = None, # Deprecated + horizontally_stack: bool = True) -> str: """ Generates html version of dataframes to be displayed by Jupyter notebooks @@ -426,6 +434,9 @@ def to_html( Number of digits to round each probability to thresh : float [Deprecated] Threshold used for calculating `digits` and throwing out too low probabilities + horizontally_stack : bool + if True, then tokens for each modality will be stacked horizontally + (instead of being a single long multi-line DataFrame) Examples -------- @@ -458,12 +469,20 @@ def to_html( df = self.to_df(topic_names, digits) if len(df) > 0: - df.index = df.index.str.replace('<', '<').str.replace('>', '>') + for level, old_names in enumerate(df.index.levels): + new_names = old_names.str.replace('<', '<').str.replace('>', '>') + renamer = dict(zip(old_names, new_names)) + df.rename(index=renamer, inplace=True, level=level) + + if horizontally_stack: + modalities = df.index.levels[0].unique() + result = ''.join( + convert_df_to_html(df.query("modality == @m")) + for m in modalities + ) + return result - # TODO: check why this better than plain df.to_html() - return df.style\ - .set_table_attributes("style='display:inline'")\ - ._repr_html_() + return convert_df_to_html(df) def to_df(self, topic_names: Iterator[str] = None, digits: int = 5) -> pd.DataFrame: topic_top_tokens = self.view(three_levels=False) From eac707fb43f0febad90a2c6a6d93cb03f0edd160 Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 14:52:23 +0300 Subject: [PATCH 3/8] remove gitignore --- .gitignore | 1 - 1 file changed, 1 deletion(-) delete mode 100644 .gitignore diff --git a/.gitignore b/.gitignore deleted file mode 100644 index 567609b..0000000 --- a/.gitignore +++ /dev/null @@ -1 +0,0 @@ -build/ From c2ef2385d894bb267fd071ab94df8f1f8826b97a Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 15:03:09 +0300 Subject: [PATCH 4/8] add jinja --- requirements.txt | 1 + setup.py | 1 + 2 files changed, 2 insertions(+) diff --git a/requirements.txt b/requirements.txt index 30629c7..90c426e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -5,6 +5,7 @@ coverage dask[dataframe] dill ipython +jinja numexpr numpy pandas diff --git a/setup.py b/setup.py index a7d2806..d5530c5 100644 --- a/setup.py +++ b/setup.py @@ -29,6 +29,7 @@ 'dask[dataframe]', 'dill', 'ipython', + 'jinja', 'numexpr', 'numpy', 'pandas', From 14c91c382b6b93ee375b79a0c57265fea5803403 Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 15:04:38 +0300 Subject: [PATCH 5/8] 0.5.0 + 0.1.0 --- setup.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/setup.py b/setup.py index d5530c5..31d47b0 100644 --- a/setup.py +++ b/setup.py @@ -1,5 +1,6 @@ from distutils.core import setup + setup( name = 'topicnet', packages = [ @@ -9,13 +10,13 @@ 'topicnet.cooking_machine.models', 'topicnet.viewers' ], - version = '0.5.0', + version = '0.6.0', license='MIT', description = 'TopicNet is a module for topic modelling using ARTM algorithm', author = 'Machine Intelligence Laboratory', author_email = 'alex.goncharov@phystech.edu', url = 'https://github.com/machine-intelligence-laboratory/TopicNet', - download_url = 'https://github.com/machine-intelligence-laboratory/TopicNet/archive/v0.5.0.tar.gz', + download_url = 'https://github.com/machine-intelligence-laboratory/TopicNet/archive/v0.6.0.tar.gz', keywords = [ 'ARTM', 'topic modeling', From c95dabd72121059a583fd57fce97862ffd86e123 Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 15:05:24 +0300 Subject: [PATCH 6/8] increase timeout to 1min --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 0a9aa67..8b9f63f 100644 --- a/.travis.yml +++ b/.travis.yml @@ -31,7 +31,7 @@ install: script: - cd topicnet - - py.test . --timeout=20 --cov + - py.test . --timeout=60 --cov after_success: - codecov From c942f324e82ffa8a688b02890571ffac0ba21aea Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 15:09:56 +0300 Subject: [PATCH 7/8] not jinja, but jinja2 --- requirements.txt | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index 90c426e..10744c4 100644 --- a/requirements.txt +++ b/requirements.txt @@ -5,7 +5,7 @@ coverage dask[dataframe] dill ipython -jinja +jinja2 numexpr numpy pandas diff --git a/setup.py b/setup.py index 31d47b0..59643aa 100644 --- a/setup.py +++ b/setup.py @@ -30,7 +30,7 @@ 'dask[dataframe]', 'dill', 'ipython', - 'jinja', + 'jinja2', 'numexpr', 'numpy', 'pandas', From fa2c41005c469c791f08a6885c4b39f8b203c9f9 Mon Sep 17 00:00:00 2001 From: Vasiliy Alekseev Date: Sat, 22 Feb 2020 15:14:29 +0300 Subject: [PATCH 8/8] return 20sec timeout --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 8b9f63f..0a9aa67 100644 --- a/.travis.yml +++ b/.travis.yml @@ -31,7 +31,7 @@ install: script: - cd topicnet - - py.test . --timeout=60 --cov + - py.test . --timeout=20 --cov after_success: - codecov