From c6c856817ec289a2ac4524b16c59945509e822c3 Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Mon, 3 Apr 2023 21:44:23 +0000 Subject: [PATCH 01/10] add artifactory registry and utils --- .../data/imgs/eval_split_entity_view.png | Bin 0 -> 187628 bytes .../data/imgs/eval_split_triples_view.png | Bin 0 -> 109231 bytes notebooks/nb_utils/artifact_registry.toml | 38 +++++ notebooks/nb_utils/config.py | 152 ++++++++++++++++++ notebooks/nb_utils/eval_utils.py | 148 +++++++++++++++-- 5 files changed, 328 insertions(+), 10 deletions(-) create mode 100644 notebooks/data/imgs/eval_split_entity_view.png create mode 100644 notebooks/data/imgs/eval_split_triples_view.png create mode 100644 notebooks/nb_utils/artifact_registry.toml create mode 100644 notebooks/nb_utils/config.py diff --git a/notebooks/data/imgs/eval_split_entity_view.png b/notebooks/data/imgs/eval_split_entity_view.png new file mode 100644 index 0000000000000000000000000000000000000000..c33a7694dbd86a5feb38f384b7ac2da007258c24 GIT 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HcmV?d00001 diff --git a/notebooks/nb_utils/artifact_registry.toml b/notebooks/nb_utils/artifact_registry.toml new file mode 100644 index 0000000..e2ac78d --- /dev/null +++ b/notebooks/nb_utils/artifact_registry.toml @@ -0,0 +1,38 @@ +model_registry_root_dir = "/home/jovyan/workbench-shared-folder/bioblp/models" +#test_set_lists = ['test', 'valid'] + +[biokgb_graph] +biokgb_data_root_dir = "../data/biokgb" +graph_dir = "graph" # relative to biokgb_data_root_dir +properties_dir = "properties" # relative to biokgb_data_root_dir + +[biokgb_graph.data_splits] +valid = 'biokg.links-valid.csv' # relative to biokgb_graph.graph_dir +test = 'biokg.links-test.csv' +dummy = 'biokg.links-dummy.csv' + +[biokgb_graph.properties] + +[biokgb_graph.properties.entity_type_metadata_paths] +disease = "biokg.metadata.disease.tsv" # relative to biokgb_properties.property_dir +protein = "biokg.metadata.protein.tsv" +# molecule = None + +[biokgb_graph.properties.entity_attribute_paths] +disease = "biokg_meshid_to_descr_name.tsv" # relative to biokgb_properties.property_dir +protein = "protein_embeddings_full_24_12_protid_idx_mapping.json" +# molecule = None + +# model registry +[kge_models] + +#[kge_models.model_types] +#rotate = "rotate" +#bioblp_d = "bioblp_d" +#bioblp_p = "bioblp_p" + +[kge_models.registered_models] # model directory path relative to model_registry_root_dir +rotate-otxtubeb = "rotate-otxtubeb" +bioblpd-38uz9fjs = "bioblpd-38uz9fjs" +bioblpp-cttc3ucm = "bioblpp-cttc3ucm" + diff --git a/notebooks/nb_utils/config.py b/notebooks/nb_utils/config.py new file mode 100644 index 0000000..397bc13 --- /dev/null +++ b/notebooks/nb_utils/config.py @@ -0,0 +1,152 @@ +import abc +import toml +import json + +from enum import Enum +from dataclasses import dataclass, field +from typing import List, Dict +import pandas as pd +from pathlib import Path +from pykeen.triples import TriplesFactory + + +DISEASE = 'disease' +MOLECULE = 'molecule' +PROTEIN = 'protein' + + +ARTIFACT_REGISTRY_TOML_PATH = "/home/jovyan/BioBLP/notebooks/nb_utils/artifact_registry.toml" + + +class EntityType(str, Enum): + disease = DISEASE + molecule = MOLECULE + protein = PROTEIN + + +def load_toml(toml_path: str) -> dict: + toml_path = Path(toml_path) + config = {} + with open(toml_path, "r") as f: + config = toml.load(f) + + return config + + +@dataclass +class ModelRegistryConfig: + #model_base_dir: str + registered_model_list: List[str] + registered_model_paths: Dict + registered_model_training_triples_paths: Dict + + @classmethod + def from_toml(cls, toml_path): + + def cfg_from_dict(cfg_toml_dict): + model_root_dir = Path(cfg_toml_dict.get("model_registry_root_dir")) + registered_model_list = list(cfg_toml_dict.get("kge_models").get("registered_models")) + registered_model_paths = {v: model_root_dir.joinpath(f"{v}") for v in registered_model_list} + registered_model_training_triples_paths = {k: v.joinpath("training_triples") for k,v in registered_model_paths.items()} + cfg = {} + cfg.update({"registered_model_list": registered_model_list}) + cfg.update({"registered_model_paths": registered_model_paths}) + cfg.update({"registered_model_training_triples_paths": registered_model_training_triples_paths}) + return cfg + + cfg_toml_dict = load_toml(toml_path) + cfg = cfg_from_dict(cfg_toml_dict) + + return cls(**cfg) + + +# todo: delete +@dataclass +class GraphRegistryConfig: + graph_root_dir = str + biokgb_data_splits: Dict + biokgb_entity_type_metadata_paths: Dict + biokgb_entity_attribute_paths: Dict + + @classmethod + def from_toml(cls, toml_path): + cfg_toml_dict = load_toml(toml_path) + + biokgb_graph_cfg = cfg_toml_dict.get("biokgb_graph") + biokgb_data_root_dir = Path(biokgb_graph_cfg.get("biokgb_data_root_dir")) + biokgb_graph_dir = biokgb_data_root_dir.joinpath(biokgb_graph_cfg.get("graph_dir")) + biokgb_properties_dir = biokgb_data_root_dir.joinpath(biokgb_graph_cfg.get("properties_dir")) + biokgb_properties = biokgb_graph_cfg.get("properties") + + biokgb_data_splits = {k: biokgb_graph_dir.joinpath(v) for k,v in biokgb_graph_cfg.get("data_splits").items()} + + biokgb_entity_type_metadata_paths = {k: biokgb_properties_dir.joinpath(v) for k,v in biokgb_properties.get("entity_type_metadata_paths").items()} + biokgb_entity_attribute_paths = {k: biokgb_properties_dir.joinpath(v) for k,v in biokgb_properties.get("entity_attribute_paths").items()} + + cfg = {} + cfg.update({"biokgb_data_splits": biokgb_data_splits}) + cfg.update({"biokgb_entity_type_metadata_paths": biokgb_entity_type_metadata_paths}) + cfg.update({"biokgb_entity_attribute_paths": biokgb_entity_attribute_paths}) + return cls(**cfg) + + + +@dataclass +class EvaluationConfig: + model_name: str + model_cfg: Dict + test_set_list: List[str] + test_ent_w_attribute_of_type: Enum + + def get_model_config(self, artifact_toml_path=ARTIFACT_REGISTRY_TOML_PATH): + model_registry_cfg = ModelRegistryConfig.from_toml(artifact_toml_path) + registered_models = model_registry_cfg.registered_model_list + if self.model_name not in registered_models: + raise ValueError(f"{self.model_name} not in {registered_models}") + + model_path = model_registry_cfg.registered_model_paths[self.model_name] + training_triples_path = model_path.joinpath('training_triples') + + self.model_cfg.update({'model_name': self.model_name}) + self.model_cfg.update({'model_path': model_path}) + self.model_cfg.update({'training_triples_path': training_triples_path}) + return self + + def update_test_set_dict(self, test_set_list): + if not test_set_triples: + test_set_list = default_test_set_list() + self.test_set_list = test_set_list + + +def get_default_biokg_test_sets( + artifact_registry_toml_path=ARTIFACT_REGISTRY_TOML_PATH +): + toml_cfg = load_toml(artifact_registry_toml_path) + default_test_set_list = toml_cfg.get('test_set_lists') + return default_test_set_list + + +def create_entity_attr_aware_test_sets(entity_type_w_attribute: str, + graph_cfg: GraphRegistryConfig, + train: TriplesFactory, + test: TriplesFactory): + entity_metadata_path = graph_cfg.biokgb_entity_type_metadata_paths.get(entity_type_w_attribute) + entity_attribute_path = graph_cfg.biokgb_entity_attribute_paths.get(entity_type_w_attribute) + + # create a subset of biokg entities of type Protein + entities = pd.read_csv(entity_metadata_path, sep="\t", names=[entity_type_w_attribute, "rel", "node_type"]) + entity_set = set(entities[entity_type_w_attribute].values) + print(f"# {entity_type_w_attribute} entities in larger biokg (pre-benchmark removal): {len(entity_set)}") + + # create a set of protein entities for which we have text descriptions + entity_w_attr_df = pd.read_json(entity_attribute_path, orient="index").reset_index()#, sep="\t", header=0, names=["protein", "attr"]) + entity_w_attr_df.rename(columns={"index": entity_type_w_attribute, 0: "attr"}, inplace=True) + entity_attr_set = set(entity_w_attr_df[entity_type_w_attribute].values) + print(f"# {entity_type_w_attribute} entities for which we have attributes: {len(entity_attr_set)}") + + test_triples_incl_ent_prop, test_triples_excl_ent_prop = split_test_triples_conditioned_on_ent_property(train_triples=train, + typed_ent_set=entity_set, + typed_ent_with_prop_set=entity_attr_set, + test_triples=test) + + return test_triples_incl_ent_prop, test_triples_excl_ent_prop diff --git a/notebooks/nb_utils/eval_utils.py b/notebooks/nb_utils/eval_utils.py index 8914f40..fbb50a8 100644 --- a/notebooks/nb_utils/eval_utils.py +++ b/notebooks/nb_utils/eval_utils.py @@ -1,8 +1,17 @@ +from abc import ABC +from enum import Enum +import matplotlib.pyplot as plt +from .config import GraphRegistryConfig +import numpy as np import pandas as pd +from pathlib import Path from pykeen.triples import TriplesFactory from pykeen.evaluation import RankBasedEvaluator +import seaborn as sns +import torch from tqdm import tqdm import wandb +import time ###### Define CONSTANTS ###### TEST = "test" @@ -11,6 +20,9 @@ TEST_RESTRICTED_DIS = 'TEST_RESTRICTED_DIS' TEST_EXCLUDING_DIS = 'TEST_EXCLUDING_DIS' VALID_RESTRICTED_DIS = 'VALID_RESTRICTED_DIS' +TEST_RESTRICTED_PROT = 'TEST_RESTRICTED_PROT' +TEST_EXCLUDING_PROT = 'TEST_EXCLUDING_PROT' + COL_SOURCE = "src" COL_TARGET = "tgt" @@ -28,11 +40,52 @@ EVAL_NODE_BOTH = "both" EVAL_NODE_HEAD = "head" EVAL_NODE_TAIL = "tail" + EVAL_METRIC_REALISTIC = "realistic" -EVAL_METRICS_SHORTLIST = ["arithmetic_mean_rank", "adjusted_arithmetic_mean_rank", - "inverse_harmonic_mean_rank", "hits_at_1", - "hits_at_3", "hits_at_5", "hits_at_10"] +EVAL_METRIC_OPTIMISTIC = "optimistic" +EVAL_METRIC_PESSIMISTIC = "pessimistic" +EVAL_METRIC_RANKING_TYPES = {ranking_type: ranking_type for ranking_type in + [EVAL_METRIC_OPTIMISTIC,EVAL_METRIC_PESSIMISTIC, EVAL_METRIC_REALISTIC] + } + +HITS_AT_1 = "hits_at_1" +HITS_AT_3 = "hits_at_3" +HITS_AT_5 = "hits_at_5" +HITS_AT_10 = "hits_at_10" +ARITHMETIC_MEAN_RANK = "arithmetic_mean_rank" +ADJUSTED_ARITHMETIC_MEAN_RANK = "adjusted_arithmetic_mean_rank" +INVERSE_HARMONIC_MEAN_RANK = "inverse_harmonic_mean_rank" + +EVAL_METRICS_CATALOG = { + ARITHMETIC_MEAN_RANK: ARITHMETIC_MEAN_RANK, + ADJUSTED_ARITHMETIC_MEAN_RANK: ADJUSTED_ARITHMETIC_MEAN_RANK, + INVERSE_HARMONIC_MEAN_RANK: INVERSE_HARMONIC_MEAN_RANK, + HITS_AT_1: HITS_AT_1, + HITS_AT_3: HITS_AT_3, + HITS_AT_5: HITS_AT_5, + HITS_AT_10: HITS_AT_10 +} + +EVAL_METRICS_SHORTLIST = [HITS_AT_1, HITS_AT_3, + HITS_AT_5, HITS_AT_10, + INVERSE_HARMONIC_MEAN_RANK] + + +class EvalMetricRankingType(Enum): + optimistic = EVAL_METRIC_OPTIMISTIC + pessimistic = EVAL_METRIC_PESSIMISTIC + realistic = EVAL_METRIC_REALISTIC + +def load_kge_model(model_base_path): + '''model = load_kge_model(model_base_path = model_registry_paths[MODEL_ID]) + ''' + model_path = model_base_path.joinpath("trained_model.pkl") + device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + model = torch.load(model_path, map_location=torch.device(device)) + #train = TriplesFactory.from_path_binary(model_base_path.joinpath("training_triples")) + return model + ###### WandB utils ###### @@ -74,11 +127,53 @@ def run_experiment_and_log_wandb(study_name:str, ##### evaluation logic ##### + +class LPEvaluator(ABC): + ''' + Does not add too much. Do away with. + This LP Evaluator currently expects KGE models with pykeen API + for eval_metric_ranking_type options, see: + https://pykeen.readthedocs.io/en/stable/tutorial/understanding_evaluation.html#ranking-types + ''' + def __init__(self, + eval_metric_ranking_type=None): + + if not eval_metric_ranking_type or eval_metric_ranking_type not in EVAL_METRIC_RANKING_TYPES.keys(): + eval_metric_ranking_type=EVAL_METRIC_REALISTIC + + self.eval_metric_ranking_type=eval_metric_realistic_type + + + def evaluate_lp_all_rels_on_single_test_set(self, + model, + eval_test_set_slug, + train_triples=None, + test_triples=None, + valid_triples=None, + eval_triple_node_endpoint=EVAL_NODE_BOTH): + + results_all_rels_dict = evaluate_lp_all_rels_on_single_test_set(model, + eval_test_set_slug=eval_test_set_slug, + eval_triples=eval_triples, + train_triples=train_triples, + valid_triples=valid_triples, + eval_triple_node_endpoint=EVAL_NODE_BOTH) + # add to report/save to file? + return results_all_rels_dict + + + def evaluate_lp_relwise_on_single_test_set(self, + **kwargs): + results_relwise_dict = evaluate_lp_relwise_on_single_test_set(**kwargs) + return results_relwise_dict + + def evaluate_lp_all_rels_on_single_test_set(model, eval_test_set_slug, eval_triples=None, train_triples=None, - valid_triples=None, + valid_triples=None, + eval_triple_node_endpoint=EVAL_NODE_BOTH ): evaluator = RankBasedEvaluator(filtered=True) @@ -91,8 +186,10 @@ def evaluate_lp_all_rels_on_single_test_set(model, additional_filter_triples = filtered_triples) results_all_rels = make_results_dict_all_rel(eval_result, - relation='All', - relation_count=eval_triples.num_triples) + relation='All', + relation_count=eval_triples.num_triples, + triple_endpoint=eval_triple_node_endpoint + ) return results_all_rels @@ -100,7 +197,8 @@ def evaluate_lp_relwise_on_single_test_set(model, eval_test_set_slug, eval_triples=None, train_triples=None, - valid_triples=None, + valid_triples=None, + eval_triple_node_endpoint=EVAL_NODE_BOTH ): evaluator = RankBasedEvaluator(filtered=True) result_dicts =[] @@ -117,7 +215,8 @@ def evaluate_lp_relwise_on_single_test_set(model, additional_filter_triples=additional_filter_triples, use_tqdm=False) result_dicts.append({'results': subset_result, 'relation': relation, 'count': triples_subset.num_triples}) - results_df = pd.DataFrame([make_results_dict_all_rel(d['results'], d['relation'], d['count']) for d in result_dicts]) + results_df = pd.DataFrame([make_results_dict_all_rel(d['results'], d['relation'], d['count']) for d in result_dicts], + triple_endpoint=eval_triple_node_endpoint) rel_results_dict = results_df.set_index('Relation').transpose().to_dict() return rel_results_dict @@ -140,8 +239,8 @@ def make_results_dict_all_rel(results, relation, relation_count, return results_dict def make_results_dict_rel_breakdown(results, relation, relation_count, - triple_endpoint="both", - metric_type = "realistic", + triple_endpoint=EVAL_NODE_BOTH, + metric_type = EVAL_METRIC_REALISTIC, metrics_shortlist=EVAL_METRICS_SHORTLIST): if not relation: relation= 'All' @@ -156,6 +255,33 @@ def make_results_dict_rel_breakdown(results, relation, relation_count, ##### test set processing stuff ##### + +def create_entity_attr_aware_test_sets(entity_type_w_attribute: str, + graph_cfg: GraphRegistryConfig, + train: TriplesFactory, + test: TriplesFactory): + entity_metadata_path = graph_cfg.biokgb_entity_type_metadata_paths.get(entity_type_w_attribute) + entity_attribute_path = graph_cfg.biokgb_entity_attribute_paths.get(entity_type_w_attribute) + + # create a subset of biokg entities of type Protein + entities = pd.read_csv(entity_metadata_path, sep="\t", names=[entity_type_w_attribute, "rel", "node_type"]) + entity_set = set(entities[entity_type_w_attribute].values) + print(f"# {entity_type_w_attribute} entities in larger biokg (pre-benchmark removal): {len(entity_set)}") + + # create a set of protein entities for which we have text descriptions + entity_w_attr_df = pd.read_json(entity_attribute_path, orient="index").reset_index()#, sep="\t", header=0, names=["protein", "attr"]) + entity_w_attr_df.rename(columns={"index": entity_type_w_attribute, 0: "attr"}, inplace=True) + entity_attr_set = set(entity_w_attr_df[entity_type_w_attribute].values) + print(f"# {entity_type_w_attribute} entities for which we have attributes: {len(entity_attr_set)}") + + test_triples_incl_ent_prop, test_triples_excl_ent_prop = split_test_triples_conditioned_on_ent_property(train_triples=train, + typed_ent_set=entity_set, + typed_ent_with_prop_set=entity_attr_set, + test_triples=test) + + return test_triples_incl_ent_prop, test_triples_excl_ent_prop + + def split_train_ents_by_existance_of_properties(train_triples: TriplesFactory, typed_ent_set: set, typed_ent_with_prop_set: set): @@ -222,3 +348,5 @@ def compute_node_degrees_in_out(triple_df): node_degree_df[DEGREE] = node_degree_df[IN_DEGREE]+node_degree_df[OUT_DEGREE] node_degree_df = node_degree_df.fillna(0) return node_degree_df + + From 19f874cd9fa3e9caee7bf3e57ccd3b6854d9ad85 Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Wed, 19 Apr 2023 15:54:58 +0000 Subject: [PATCH 02/10] refactor eval analysis --- ...1_eval_lp_node_degree_effect-modular.ipynb | 3045 ++++++++++ .../07_04_01_eval_lp_node_degree_effect.ipynb | 5154 +++++++++++++++++ notebooks/nb_utils/artifact_registry.toml | 10 +- notebooks/nb_utils/eval_utils.py | 323 +- notebooks/nb_utils/plot_utils.py | 72 + 5 files changed, 8596 insertions(+), 8 deletions(-) create mode 100644 notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb create mode 100644 notebooks/07_04_01_eval_lp_node_degree_effect.ipynb create mode 100644 notebooks/nb_utils/plot_utils.py diff --git a/notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb b/notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb new file mode 100644 index 0000000..7d4c10d --- /dev/null +++ b/notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb @@ -0,0 +1,3045 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "88d4f3b3", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b0ae15c8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/jovyan/.conda/envs/bioblp-env/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import json\n", + "from IPython.display import Image\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "import seaborn as sns\n", + "import time\n", + "from tqdm import tqdm\n", + "from typing import List\n", + "#from typing import Union\n", + "\n", + "from pykeen.evaluation import RankBasedEvaluator\n", + "from pykeen.triples import TriplesFactory\n", + "import toml\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9d30a407", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import TEST, VALID, TRAIN\n", + "#from nb_utils.eval_utils import TEST_EXCLUDING_DIS, TEST_RESTRICTED_DIS\n", + "#from nb_utils.eval_utils import TEST_EXCLUDING_PROT, TEST_RESTRICTED_PROT\n", + "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, EVAL_METRICS_SHORTLIST\n", + "from nb_utils.eval_utils import COL_SOURCE, COL_TARGET, COL_EDGE, COL_NODE, DEGREE, IN_DEGREE, OUT_DEGREE\n", + "from nb_utils.eval_utils import obtain_filtered_triples\n", + "from nb_utils.eval_utils import split_test_triples_conditioned_on_ent_property, split_train_ents_by_existance_of_properties\n", + "from nb_utils.eval_utils import setup_wandb_result_tracker, run_experiment_and_log_wandb\n", + "from nb_utils.eval_utils import make_results_dict_all_rel, make_results_dict_rel_breakdown\n", + "from nb_utils.eval_utils import compute_node_degrees_in_out\n", + "from nb_utils.eval_utils import load_kge_model\n", + "\n", + "from nb_utils.config import ARTIFACT_REGISTRY_TOML_PATH, EntityType\n", + "from nb_utils.config import load_toml, ModelRegistryConfig, EvaluationConfig\n", + "from nb_utils.config import GraphRegistryConfig, EntityType" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "27ad3247", + "metadata": {}, + "outputs": [], + "source": [ + "ROTATE = \"rotate-otxtubeb\"\n", + "BIOBLP_D = \"bioblpd-38uz9fjs\" \n", + "BIOBLP_P = \"bioblpp-cttc3ucm\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "4b06e806", + "metadata": {}, + "outputs": [], + "source": [ + "toml_path = ARTIFACT_REGISTRY_TOML_PATH\n", + "model_reg_cfg = ModelRegistryConfig.from_toml(toml_path)\n", + "model_registry_paths = model_reg_cfg.registered_model_paths\n", + "model_registry_paths\n", + "model_training_paths = model_reg_cfg.registered_model_training_triples_paths" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c9c9ae27", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "GraphRegistryConfig(biokgb_data_splits={'valid': PosixPath('../data/biokgb/graph/biokg.links-valid.csv'), 'test': PosixPath('../data/biokgb/graph/biokg.links-test.csv'), 'dummy': PosixPath('../data/biokgb/graph/biokg.links-dummy.csv')}, biokgb_entity_type_metadata_paths={'disease': PosixPath('../data/biokgb/properties/biokg.metadata.disease.tsv'), 'protein': PosixPath('../data/biokgb/properties/biokg.metadata.protein.tsv')}, biokgb_entity_attribute_paths={'disease': PosixPath('../data/biokgb/properties/biokg_meshid_to_descr_name.tsv'), 'protein': PosixPath('../data/biokgb/properties/protein_embeddings_full_24_12_protid_idx_mapping.json')})" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "graph_cfg = GraphRegistryConfig.from_toml(ARTIFACT_REGISTRY_TOML_PATH)\n", + "graph_cfg" + ] + }, + { + "cell_type": "markdown", + "id": "476564c1", + "metadata": { + "tags": [] + }, + "source": [ + "## LOAD TRIPLES DICT EASILY and start the degree analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8d6f20fd-8f12-4c61-b65b-1910d7cffe04", + "metadata": {}, + "outputs": [], + "source": [ + "MODEL_ID = ROTATE \n", + "PROTEIN = 'protein'\n", + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN # EntityType{Protein}.value\n", + "\n", + "#load model, train triples, test and valid" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "cf492305", + "metadata": {}, + "outputs": [], + "source": [ + "model = load_kge_model(model_registry_paths[MODEL_ID])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d036ebee", + "metadata": {}, + "outputs": [], + "source": [ + "# load model\n", + "# model = load_kge_model(model_registry_paths[MODEL_ID])\n", + "\n", + "# load training splits\n", + "train = TriplesFactory.from_path_binary(model_training_paths[MODEL_ID])\n", + "\n", + "\n", + "valid, test, dummy = [TriplesFactory.from_path(f,\n", + " entity_to_id=train.entity_to_id,\n", + " relation_to_id=train.relation_to_id)\n", + " for f in (graph_cfg.biokgb_data_splits.values())]" + ] + }, + { + "cell_type": "markdown", + "id": "ea2f149d", + "metadata": {}, + "source": [ + "creating a dummy set of triples for unit testing purposes" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "cc559c27", + "metadata": { + "jupyter": { + "source_hidden": true + }, + "tags": [] + }, + "outputs": [], + "source": [ + "DUMMY = 'dummy'\n", + "dummy_triples_path = graph_cfg.biokgb_data_splits[DUMMY]\n", + "if not dummy_triples_path.exists:\n", + " print(f'Slicing test triples to create a batch of dummy triples and saving to {str(dummy_triples_path)}')\n", + " dummy_df = pd.read_csv(graph_path.joinpath(test_triples), sep=\"\\t\", header=None)[:50]\n", + " dummy_df.to_csv(dummy_triples_path, sep=\"\\t\", index=None, header=None)" + ] + }, + { + "cell_type": "markdown", + "id": "15cd129c", + "metadata": {}, + "source": [ + "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not\n", + "\n", + "Create test sets: \n", + "D; D_b, D_r; " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8a6472e8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": { + "image/png": { + "width": 600 + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import Image\n", + "Image('data/imgs/eval_split_entity_view.png', width=600)" + ] + }, + { + "cell_type": "markdown", + "id": "4fec26cd", + "metadata": {}, + "source": [ + "From stats below, we see that all biokgb entities surprisingly have a relation - > D_r is an empty set. -> This is because we used the name of disease as decription in places where it was missing\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4b6c8473", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": { + "image/png": { + "width": 500 + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "# The figure below demonstrates how we obtain the various test sets\n", + "Image('data/imgs/eval_split_triples_view.png', width=500)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "732dbdd4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'disease': PosixPath('../data/biokgb/properties/biokg.metadata.disease.tsv'),\n", + " 'protein': PosixPath('../data/biokgb/properties/biokg.metadata.protein.tsv')}" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = 'protein'" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "576066a0-22f8-4ee1-bf2a-440abb2f6b74", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# protein entities in larger biokg (pre-benchmark removal): 122902\n", + "# protein entities for which we have attributes: 121988\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", + "test_triples_incl_ent_prop, test_triples_excl_ent_prop= create_entity_attr_aware_test_sets(entity_type_w_attribute=PROTEIN,\n", + " graph_cfg=graph_cfg,\n", + " train=train,\n", + " test=test)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5eca0e8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'COMPLEX_IN_PATHWAY': 0,\n", + " 'COMPLEX_TOP_LEVEL_PATHWAY': 1,\n", + " 'DDI': 2,\n", + " 'DISEASE_GENETIC_DISORDER': 3,\n", + " 'DISEASE_PATHWAY_ASSOCIATION': 4,\n", + " 'DPI': 5,\n", + " 'DRUG_CARRIER': 6,\n", + " 'DRUG_DISEASE_ASSOCIATION': 7,\n", + " 'DRUG_ENZYME': 8,\n", + " 'DRUG_PATHWAY_ASSOCIATION': 9,\n", + " 'DRUG_TARGET': 10,\n", + " 'DRUG_TRANSPORTER': 11,\n", + " 'MEMBER_OF_COMPLEX': 12,\n", + " 'PPI': 13,\n", + " 'PROTEIN_DISEASE_ASSOCIATION': 14,\n", + " 'PROTEIN_PATHWAY_ASSOCIATION': 15,\n", + " 'RELATED_GENETIC_DISORDER': 16}" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.relation_to_id" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "78bb33c6", + "metadata": {}, + "outputs": [], + "source": [ + "prot_assoc_rel_names = ['MEMBER_OF_COMPLEX', 'PROTEIN_PATHWAY_ASSOCIATION', 'PPI', \n", + " 'PROTEIN_DISEASE_ASSOCIATION', 'RELATED_GENETIC_DISORDER', 'DPI',\n", + " 'DRUG_TARGET', 'DRUG_TRANSPORTER', 'DRUG_ENZYME', 'DRUG_CARRIER']" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "f60920db", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'DPI': 5,\n", + " 'DRUG_CARRIER': 6,\n", + " 'DRUG_ENZYME': 8,\n", + " 'DRUG_TARGET': 10,\n", + " 'DRUG_TRANSPORTER': 11,\n", + " 'MEMBER_OF_COMPLEX': 12,\n", + " 'PPI': 13,\n", + " 'PROTEIN_DISEASE_ASSOCIATION': 14,\n", + " 'PROTEIN_PATHWAY_ASSOCIATION': 15,\n", + " 'RELATED_GENETIC_DISORDER': 16}" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# relations containing proteins include -> UNWEILDY\n", + "#prot_assoc_rels = {rel:rel_id for rel, rel_id in train.relation_to_id.items() if 'PROTEIN' in rel or rel in ['PPI', 'DPI', 'MEMBER_OF_COMPLEX', 'DRUG_ENZYME', 'DRUG_TARGET']}\n", + "prot_assoc_rels = {rel:rel_id for rel, rel_id in train.relation_to_id.items() if rel in prot_assoc_rel_names}\n", + "prot_assoc_rels" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "618c08b2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# triples originally in test: 185227, valid: 185226\n", + "# test triples with protein nodes: 54064\n", + "# test triples without protein nodes: 131163\n" + ] + } + ], + "source": [ + "# create set of triples\n", + "print(f\"# triples originally in test: {test.num_triples}, valid: {valid.num_triples}\")\n", + "print(f\"# test triples with {ENTITY_TYPE_W_ATTRIBUTE} nodes: {test_triples_incl_ent_prop.num_triples}\")\n", + "print(f\"# test triples without {ENTITY_TYPE_W_ATTRIBUTE} nodes: {test_triples_excl_ent_prop.num_triples}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "997c69ac", + "metadata": {}, + "outputs": [], + "source": [ + "triples_dict = {\n", + " TEST: test,\n", + " VALID: valid,\n", + " TRAIN: train,\n", + " TEST_RESTRICTED_PROT: test_triples_incl_ent_prop,\n", + " TEST_EXCLUDING_PROT: test_triples_excl_ent_prop,\n", + " DUMMY: dummy, \n", + "}\n", + "\n", + "TEST_SET_LIST = [TEST_RESTRICTED_PROT, TEST_EXCLUDING_PROT, TEST, VALID]\n" + ] + }, + { + "cell_type": "markdown", + "id": "4bd6d9de", + "metadata": {}, + "source": [ + "# Evaluation" + ] + }, + { + "cell_type": "markdown", + "id": "c9f19197", + "metadata": {}, + "source": [ + "wandb logging" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "bd79960d", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Failed to detect the name of this notebook, you can set it manually with the WANDB_NOTEBOOK_NAME environment variable to enable code saving.\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mpmitra01\u001b[0m (\u001b[33mdiscoverylab\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n" + ] + } + ], + "source": [ + "import wandb\n", + "wandb.login()\n", + "\n", + "WANDB_ENTITY_DISCOVERYLAB = \"discoverylab\"\n", + "WANDB_PROJECT_NAME = \"bioblp-jupyter-eval\"\n" + ] + }, + { + "cell_type": "markdown", + "id": "c01a090b", + "metadata": {}, + "source": [ + "sanity check logic for experiment run with wandb logging" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "d466ef2e", + "metadata": {}, + "outputs": [], + "source": [ + "def trial_func(x=1, y=2):\n", + " print(x*y)\n", + " return {'x': x, 'y':y}\n", + "\n", + "#trial_func_kwargs = {\"x\": 1, \"y\": 2} \n", + "#metrics = run_experiment('dummy-run', TEST, BIOBLP_D, trial_func, **trial_func_kwargs) " + ] + }, + { + "cell_type": "markdown", + "id": "a59db324", + "metadata": {}, + "source": [ + "## analyse effect of node degree?\n", + "1. compute a degree table for entities in train" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "0c12a37f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "text/html": [ + "

" + ], + "text/plain": [ + " src rel tgt\n", + "0 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-1479277\n", + "1 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-1591211" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "training_df = pd.DataFrame(train.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET])\n", + "training_df[:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "b136823e", + "metadata": { + "scrolled": true, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DDI 906535\n", + "PROTEIN_PATHWAY_ASSOCIATION 205871\n", + "PPI 93643\n", + "PROTEIN_DISEASE_ASSOCIATION 89804\n", + "MEMBER_OF_COMPLEX 71035\n", + "DRUG_DISEASE_ASSOCIATION 53426\n", + "COMPLEX_IN_PATHWAY 19615\n", + "COMPLEX_TOP_LEVEL_PATHWAY 12488\n", + "DPI 7860\n", + "DRUG_TARGET 5714\n", + "DISEASE_GENETIC_DISORDER 4339\n", + "DRUG_PATHWAY_ASSOCIATION 4244\n", + "RELATED_GENETIC_DISORDER 3450\n", + "DISEASE_PATHWAY_ASSOCIATION 2945\n", + "DRUG_ENZYME 528\n", + "DRUG_TRANSPORTER 222\n", + "DRUG_CARRIER 90\n", + "Name: rel, dtype: int64" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# not a nec step, but to ease computation, let's restrict the triples to disease node containg triples\n", + "#training_df = training_df[training_df[COL_EDGE].isin(list(dis_assoc_rels.keys()))]\n", + "training_df.rel.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "a33c90f6", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "node_train_degree_df = compute_node_degrees_in_out(training_df)\n", + "node_train_degree_dict = pd.Series(node_train_degree_df.degree.values,index=node_train_degree_df.ent).to_dict()" + ] + }, + { + "cell_type": "markdown", + "id": "be807528", + "metadata": {}, + "source": [ + "Now we attach the training node degrees against the disease entities in Test triples" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "158f9046", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "text/html": [ + "
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srcreltgtsrc_training_degreetgt_training_degree
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" + ], + "text/plain": [ + " src rel tgt src_training_degree \\\n", + "0 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2029130 67.0 \n", + "1 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2038750 67.0 \n", + "2 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2454243 67.0 \n", + "3 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-983670 67.0 \n", + "4 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-983674 67.0 \n", + "\n", + " tgt_training_degree \n", + "0 59.0 \n", + "1 23.0 \n", + "2 60.0 \n", + "3 35.0 \n", + "4 51.0 " + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# now bucket the test triples according to node degree\n", + "def retrieve_node_degree(node, node2degree_dict):\n", + " return node2degree_dict.get(node, 0)\n", + "\n", + "test_triples_ent_w_attr_df = pd.DataFrame(test_triples_incl_ent_prop.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET])\n", + "test_triples_ent_w_attr_df[\"src_training_degree\"] = test_triples_ent_w_attr_df[COL_SOURCE].apply(lambda x: retrieve_node_degree(x, node_train_degree_dict))\n", + "test_triples_ent_w_attr_df[\"tgt_training_degree\"] = test_triples_ent_w_attr_df[COL_TARGET].apply(lambda x: retrieve_node_degree(x, node_train_degree_dict))\n", + "test_triples_ent_w_attr_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "9ee1f0de", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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srcreltgtsrc_training_degreetgt_training_degree
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" + ], + "text/plain": [ + " src rel tgt src_training_degree \\\n", + "53648 Q9Y5Z9 RELATED_GENETIC_DISORDER MIM:121800 43.0 \n", + "53662 Q9Y619 RELATED_GENETIC_DISORDER MIM:238970 15.0 \n", + "53667 Q9Y625 RELATED_GENETIC_DISORDER MIM:258315 14.0 \n", + "53688 Q9Y6C5 RELATED_GENETIC_DISORDER MIM:109400 9.0 \n", + "53756 Q9Y6N9 RELATED_GENETIC_DISORDER MIM:602092 34.0 \n", + "\n", + " tgt_training_degree \n", + "53648 1.0 \n", + "53662 1.0 \n", + "53667 2.0 \n", + "53688 2.0 \n", + "53756 19.0 " + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE]=='RELATED_GENETIC_DISORDER'][-5:]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "7c6ec5ab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_triples_ent_w_attr_df.rel.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "0025a48d", + "metadata": {}, + "outputs": [], + "source": [ + "rels_w_prot_as_tgt = ['DPI',\n", + " 'DRUG_CARRIER'\n", + " 'DRUG_ENZYME',\n", + " 'DRUG_TARGET'\n", + " 'DRUG_TRANSPORTER',\n", + " ]\n", + "rels_w_prot_as_src = ['MEMBER_OF_COMPLEX', \n", + " 'PPI',\n", + " 'PROTEIN_DISEASE_ASSOCIATION'\n", + " 'PROTEIN_PATHWAY_ASSOCIATION',\n", + " 'RELATED_GENETIC_DISORDER',\n", + " \n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "1e6c19d4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 526.000000\n", + "mean 68.604563\n", + "std 77.053967\n", + "min 1.000000\n", + "25% 24.000000\n", + "50% 41.000000\n", + "75% 84.750000\n", + "max 409.000000\n", + "Name: tgt_training_degree, dtype: float64" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_tgt)].tgt_training_degree.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "cad79df5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 19031.000000\n", + "mean 76.604330\n", + "std 81.642176\n", + "min 1.000000\n", + "25% 22.000000\n", + "50% 49.000000\n", + "75% 100.000000\n", + "max 480.000000\n", + "Name: src_training_degree, dtype: float64" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_src)].src_training_degree.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "150f7b2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "We have 18505, or 3518.060836501901% more test triples with proteins occuring in source position than in tail position\n" + ] + } + ], + "source": [ + "print(f\"We have {19031-526}, or {(19031-526)/526*100}% more test triples with proteins occuring in source position than in tail position\")" + ] + }, + { + "cell_type": "markdown", + "id": "eab8e699", + "metadata": {}, + "source": [ + "Triples with protein as src entity far outnumber triples with protein as tail entity. \n" + ] + }, + { + "cell_type": "markdown", + "id": "65cb2adf", + "metadata": {}, + "source": [ + "### average performance predicting the node which has an entity degree of x\n", + "\n", + "Let's focus only relation types where proteins are the source, as these have more support in the train/test sets" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "7af7b697", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "node end point to predict, and evaluate performance on: src\n", + "Restricting analysis to relations where we predict protein as src\n" + ] + } + ], + "source": [ + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "print(f\"node end point to predict, and evaluate performance on: {NODE_ENDPOINT_TO_PREDICT}\")\n", + "print(f\"Restricting analysis to relations where we predict {ENTITY_TYPE_W_ATTRIBUTE} as {NODE_ENDPOINT_TO_PREDICT}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "c3017f7c", + "metadata": {}, + "outputs": [], + "source": [ + "# define relations restrictions to consider, based on which node endpoint position the LP performance is evaluated on\n", + "RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE = { \n", + " COL_SOURCE: rels_w_prot_as_src,\n", + " COL_TARGET: rels_w_prot_as_tgt\n", + "}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "e69437ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'src': (19031, 5), 'tgt': (526, 5)}" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def create_test_df_subset_given_node_endpoint_type_to_predict(test_df, \n", + " node_endpoint_to_predict,\n", + " restricted_rels_by_node_endpoint_type_dict):\n", + " test_subset_df = test_df.loc[test_df[COL_EDGE].isin(restricted_rels_by_node_endpoint_type_dict.get(node_endpoint_to_predict))]\n", + " return test_subset_df\n", + "\n", + "def get_unique_endpoint_entities_in_testset_of_given_degree(test_df, degree, node_endpoint_type=None,):\n", + "# restricted_rels_by_node_endpoint_type_dict=None):\n", + " if node_endpoint_type not in [COL_SOURCE, COL_TARGET]:\n", + " raise ValueError(f\"Invalid node end point type {node_endpoint_type}. Allowed values are '{COL_SOURCE}' and '{COL_TARGET}'\")\n", + " test_subset = test_df[test_df[f\"{node_endpoint_type}_training_degree\"]==degree]\n", + " test_unique_ents = test_subset.tgt.unique()\n", + " return test_unique_ents\n", + "\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " node_endpoint_to_predict=node_endpoint,\n", + " restricted_rels_by_node_endpoint_type_dict=RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "{node_endpoint: test_triples_by_node_endpoint_to_predict[node_endpoint].shape for node_endpoint in [COL_SOURCE, COL_TARGET]}" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "5d5ddcf4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "16" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "unique_protein_tail_ents_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=1, node_endpoint_type=COL_SOURCE)\n", + "len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=1, node_endpoint_type=NODE_ENDPOINT_TO_PREDICT))" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "f64d11d8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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srcreltgtsrc_training_degreetgt_training_degree
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" + ], + "text/plain": [ + " src rel tgt src_training_degree \\\n", + "0 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2029130 67.0 \n", + "1 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2038750 67.0 \n", + "\n", + " tgt_training_degree \n", + "0 59.0 \n", + "1 23.0 " + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_triples_prot_as_src[:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "df406a5a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_prot_as_src = test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT]\n", + "prot_degrees = test_triples_prot_as_src.groupby(['src_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=prot_degrees, x='src_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "#plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "6b9fb1d8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_prot_as_src = test_triples_by_node_endpoint_to_predict[COL_TARGET]\n", + "prot_degrees = test_triples_prot_as_src.groupby(['tgt_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=prot_degrees, x='tgt_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "#plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "00f1862a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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q87Wvfa1kfPPNNwdKghhRypA5hVWyAlbLAGRFYZWsgNUyFKOUAQAARIBSBgAAEAFKGTJnzJgxJeOxY8cGSgIAlTnrrLNKxuXXyGJko5Qhc8qvwWBbDABZccUVV5SML7/88kBJECNKGTKpsFrGKhmArCmslrFKhnKUMmRS4Sa+H//4xwMnAYDKjBs3TpJ08MEHB06C2FDKkEn33nuvJOmee+4JnAQAKrNkyRJJUkdHR+AkiA2lDJmzcOHCkvFtt90WKAkAVGbRokUl47vuuitQEsSIUobMKaySFbBaBiArCqtkBayWoRilDAAAIAKUMgAAgAhQygAAqJGmpqaS8eTJkwMlQYwoZQAA1Mjzzz9fMt6yZUugJIgRpQwAgBqZNm1aybiw5yIgUcqQQZMmTSoZl58OAIBYtba2at9995UkjRo1SrNmzQqcCDGhlCFzFi9eXDK+8847wwQBgAo1NjaqpaVFZqaWlhY1NjaGjoSIUMoAAKihY445Ru7OKj96oZQBAFBDbW1tkqQFCxYEToLYUMqQOWeeeWbJuKWlJVASAKjM2rVr1d3dLUnq7u7WAw88EDgRYpJqKTOz/czsYTP7DzN73MyuT46PM7NVZvar5OvBRe+5ysw6zeyXZnZm/z8dI9Xu3btLxm+88UagJBjOmL+QhhtvvLFkPH/+/EBJEKO0V8p2S5rq7idJer+kFjP7sKQrJa1x98mS1iRjmdlxkmZKOl5Si6Tbzaw+5YwA0BfmL1RdYZWsvzFGtlRLmee9ngz3SR4u6RxJ7cnxdkmfSp6fI+lud9/t7s9I6pR0apoZAaAvzF9IQ0NDw4BjjGypX1NmZvVm9gtJL0pa5e7/Lukwd98qScnXQ5OXT5D0XNHbNyfHyn/mJWa23szWv/TSS6nmR3xGjRpVMt5vv/0CJcFwl8b8lfxc5rAR6uqrry4ZX3PNNYGSIEaplzJ373H390s6QtKpZvb7A7zc+voRffzMO9y92d2bx48fX6WkyIrPfvazJePzzjsvUBIMd2nMX8nPZQ4boaZOnVoynjJlSqAkiFHNPn3p7r+VtE75ay1eMLPDJSn5+mLyss2Sjix62xGSSm8UhhFvyZIlJeOOjo5ASTBSMH8BqIW0P3053szelTwfLWmapKckLZfUmrysVdKy5PlySTPNbJSZHSVpsqSH08wIAH1h/kIavvCFL5SM58yZEygJYpT2FYaHS2pPPoFUJ2mpu//AzH4qaamZXSTpWUnnSpK7P25mSyU9Ialb0mx370k5IwD0hfkLVffkk0+WjDdu3BgoCWKUailz90clfaCP412SzujnPfMlsXELgKCYvwDUGjv6AwAARIBShsypry/dj5N9fgBkxfve976S8QknnBAoCWJEKUPmrFmzpmS8evXqQEkAoDLf+MY3SsaFm5MDEqUMGfSlL32pZHzllVcGSgIAlTn//PNLxhdeeGGgJIgRpQyZs379+pLxQw89FCgJAFRm69atJePNmzcHSoIYUcoAAAAiQCkDAACIAKUMAIAaKf+0+D777BMoCWJUcSkzswPSCAIAwHDX3d1dMn7zzTcDJUGMhlzKzOw0M3tC0pPJ+CQzuz21ZABQJZZ3oZn972Q80cxODZ0LAIpVslL2dUlnSuqSJHf/D0kfSyMUAFTZ7ZI+IqmwH8F2SbeFiwMAvVW0Fbq7P2dmxYe42S6ALPiQu59sZj+XJHd/1cz2DR0KAIpVUsqeM7PTJHkymc1VcioTACL3ppnVS3JJMrPxkvaEjQQApSo5ffl5SbMlTZC0WdL7kzEAxG6hpO9JOszM5kv6iaQbw0bCSFR2tqnXGCPbkFfK3P1lSRekmAUAUuHuS8xsg6QzJJmkT7k7K/2oOXcfcIyRrZJPX77XzNaY2WPJ+EQz+6v0ogFAVR0iaae7/62kl83sqNCBAKBYJacvF0m6StKbkuTuj0qamUYoAKgmM7tW0hXKz2GStI+kvw+XCAB6q6SU7e/uD5cd6+7zlQAQlz+S9IeSdkiSuz8vaUzQRABQppJS9rKZHaO3Pr30WUlbB34LAEThd56/eKcwf3FnEgDRqWRLjNmS7pB0rJltkfSMuPAfQDYsNbNvSXqXmV0s6XPKX5IBANEYUilL9vf5grtPS37DrHP37elGA4B3zvJ7DvyTpGMlvSbp9yT9b3dfFTQYAJQZUilz9x4zOyV5viPdSABQPe7uZvZ9dz9FEkUMQLQqOX35czNbLukeJRfLSpK731v1VABQXQ+Z2Qfd/Wehg2Bka2hoUHd3d8kYKKjkQv9xyt+MfKqks5PHJ9MIBQxkzJjSD82NHTs2UBJkyBRJPzWz/zKzR81so5k9GjoURp6rr766ZHzNNdcESoIYVbKj/5+lGQQYqhUrViiXy+0dL1u2LFwYZMVZoQMAkjR16lR95StfkbvLzDRlypTQkRCRIZcyM1vYx+Ftkta7O38rombmzp1bMr7ssst0yy23BEqDjOjrg0l8WAk119XVpbq6OvX09Kiurk5dXV1qbGwMHQuRqOT05X7K34T8V8njROVPaV5kZrdWPRnQj0cfLT3r9MgjjwRKggx5RNJLkv5T+fnrJUnPmNkjhQ8xAbXQ3t6+9ybkZqaOjo7AiRCTSkpZk6Sp7t7m7m2Spkl6n/I7ZX88jXAAUCUrJX3C3Q9x90blT2culfTnkm4PmgwjyurVq/de6N/d3a1Vq/hAMN5SSSmbIKl4F+wDJL3b3Xsk7a5qKgCormZ3/1Fh4O7/LOlj7v6QpFHhYmGkmTZt2t5PXDY0NGj69OmBEyEmlZSyv5b0CzP7tpktlvRzSX+TbCa7Oo1wQF9OPPHEkvHJJ58cKAky5BUzu8LM3pM8/lLSq8nG2HtCh8PI0draqrq6/F+99fX1mjVrVuBEiMmQS5m7/52k0yR9P3l81N3vdPcd7v7ldOIBvTU1NZWMjznmmEBJkCF/LOkIvTV/HZkcq5d0XrBUGHEaGxvV0tIiM1NLSwsX+aPEkEtZcquSMySd5O7fl9RgZqemFQzoz733lu5XfM899wRKgqxw95fdfY6k/+7uH3D3Oe7+krv/zt07Q+fDyNLa2qoTTjiBVTL0Usnpy9slfUTS+cl4u6Tbqp4IAKrMzE4zsyckPZGMTzIzLvBHEI2NjVq4cCGrZOilklL2IXefLekNSXL3VyXtm0oqAKiur0s6U/m7ksjd/0PSx4ImAoAylZSyN5OLYl2SzGy8uEAWAXz6058uGZ977rmBkiBL3P25skM9QYIAQD8qKWULJX1P0qFmNl/STyTdmEoqYADlO/rPnj07UBJkyHNmdpokN7N9zexLkp4MHQoAilXy6cslkv5S0k2Stkr6lLtzhTWCKKyWsUqGIfq8pNnK77e4Wfm7k9DmAUTF3H3gF5iNG+j77v5KVRNVqLm52devXx8yAoAaM7MN7t4cOkc1MIcBI8tA89dQbki+QfnryEzSREmvJs/fJelZSUdVJyYAVJeZtSm5DrYv7j63v+8BQK0NevrS3Y9y96Ml/UjS2UX3jvukpHsHfjeQjmXLlimXy2nFihWhoyBu65X/xXI/SScrfzPyXyl/+pIL/RFES0uLcrmczjrrrNBREJlKLvT/oLvfVxi4+/2S/qD6kYDB3XrrrZKkW265JWwQRM3d2929XdJkSVPcvc3d25TfCPv9QcNhxHrjjTckSbt27QqcBLGppJS9bGZ/ZWaTknvHXaNkzx+glpYtW6bCtZDuzmoZhuLdksYUjQ9MjgE11dLSUjJmtQzFKill50sar/y2GN9Lnp8/4DuAFBRWyQpYLcMQfFXSz81ssZktlvSI2NIHARRWyQpYLUOxoVzoL2nvpyzn9fd9M2tL7i0HpKr8E8ODfYIYcPdvm9n9kj6UHLrS3X9T+L6ZHe/uj4dJBwB5Qy5lQ3B6FX8W0C8zKyliZhYwDbIiKWHL+vn2d5T/IAAABFPJ6UsgCpdeemnJ+LLLLgsTBMMJzR41sd9++5WMR48eHSgJYkQpQ+Z8/etfLxnffPPNgZJgGOEcOGqCa8owkGqWMn7TBAAAeJuqWcoWVPFnAUAt/S50AAAY8oX+ZrZCvZf4tym/Y/a33H1xFXMBQNWYWV8X8W+T9Gt373b3D9c6EwCUq+TTl08rvzfZPybj/yHpBUnvlbRI0p9UNxoAVM3tyn+68lHlL7X4/eR5o5l93t3/OWQ4AJAqO335AXf/Y3dfkTwulHSqu88WHyVHDa1bt27AMdCHTcrPYc3ufoqkD0h6TNI0SX8dMhhGFuYvDKSSUjbezCYWBsnzQ5Ih12OgZspvSzJjxoxASZAhxxZvDuvuTyhf0p4OmAkjUFdX14BjjGyVlLLLJf3EzB4ws3WS/kXSl83sAEntaYQD+lL+EfIdO3YESoIM+aWZfcPM/iB53C7pP81slKQ3Q4fDyNHeXvrXZUdHR6AkiNGQS5m73ydpsqRLk8fvufsP3X2Hu9+aSjoAqI4/ldSp/Nz1F8pfI/unyheyKaFCYeRZvnx5yXjZsv5uMoGRqNLbLJ0iaVLyvhOT291Q8wFEzd13Sbo5eZR7vcZxAKBPlWyJ8R1Jx0j6haSe5LBLopQBiJqZnS7pOknvUdG85+5Hh8oEAOUqWSlrlnScF98JGgCy4e+UP225QW/9UgkAUamklD0m6b9J2ppSFgBIyzZ3vz90CAAYSCWl7BBJT5jZw5J2Fw66+x9WPRUAVNcDZvZ/Jd2r0vnrkXCRAKBUJaXsurRCAEDKPpR8bS465pKmBsgCAH0acilz9wfTDAIAaXF3tr0AEL1BS5mZ/cTdP2pm21V6Q3KT5O5+UGrpAOAdMLML3f3vzeyyvr7v7rfUOhMA9GfQUubuH02+jkk/DgBU1QHJV+YvANGraPNYM6uXdJhK9/l5ttqhAKAa3P1bydfrQ2cBgMFUsnnsHEnXSnpB0p7ksEs6MYVcAFA1ZjZe0sV6644kkiR3/1yoTABQrpKVsnnK3++SW9oDyJplkv5F0mqxeSyASFVSyp6TtC2tIACQov3d/YrQIQBgIJWUsqclrTOzH6p080U+vQQgdj8ws0+4+32hg2BkO+200/Rv//Zve8cf+9jHAqZBbCopZc8mj32TBwBkxTxJV5vZbklvii19EMjYsWMHHGNkq2TzWD69BCCT2NIHsbj//tJbsK5YsUKXX355oDSIzVA2j73V3S81sxUq3TxWEve+BBAvMzvW3Z8ys5P7+j73vgQQk6GslH0n+fo3aQYBgBRcJukSSTf38T3ufQkgKkPZ0X9D8pV7XwLIFHe/JPnKvS8RhdGjR2vXrl17x/vvv3/ANIhNJZvHTpZ0k6TjJO1XOO7uR6eQCwCqysx+X73nr45wiTASFRcySdq5c2egJIhRXQWv/bakb0jqljRFUofeOrUJANEys2sltSWPKZL+WhLXw6LmJk2aNOAYI1slpWy0u6+RZO7+a3e/TlyPASAbPivpDEm/cfc/k3SSpFFhI2EkOv3000vG7FOGYpWUsjfMrE7Sr8zsi2b2R5IOTSkXAFTTLnffI6nbzA6S9KIkLr1AzS1ZsqRk3NHBGXS8pZJSdqmk/SXNlXSKpAsltaaQCQCqbb2ZvUvSIkkbJD0i6eGgiQCgzJAu9DezeknnufuXJb0u6c9STYVUtLW1qbOzM3SMVMybNy90hHekqalJc+bMCR1jWDIzk3STu/9W0jfNbKWkg9z90bDJAKDUkFbK3L1H0inJ5AYAmeHuLun7ReNNFDIAMark3pc/l7TMzO6RtKNw0N3vrXoqpGK4rMTkcrlexxYsWFD7IMiSh8zsg+7+s9BBMLIddNBBeu211/aOufclilVyTdk4SV3Kf+Ly7OTxyTRCAQNZt27dgGOgD1Mk/dTM/svMHjWzjWbGahlqrriQSdK2bdsCJUGMKlkpu9Pd/7X4gJmd3t+LASAiZ4UOAACDqWSlrG2Ix4DUnXTSSTrppJNYJcNQ3ZDsr7j3IemG0KEAoNigK2Vm9hFJp0kab2aXFX3rIEn1aQUDgCo6vniQfKL8lEBZAKBPQ1kp21fSgcoXuDFFj9eU3yUbAKJkZleZ2XZJJ5rZa8lju/Kbxy4LHA8ASgy6UubuD0p60MwWJ0v+fTKzNncfHh/vAzAsuPtNkm4ys5vc/ar+Xmdmx7v74zWMBgC9DPmasoEKWYKL/gFEaaBClvhOTYIAwAAqudAfAIYrNsYGEBylDAAkDx0AAKpZyvhNEwAA4G2qZinjPjcAsup3oQMAwJBLmZmtMrN3FY0PNrMfFcbuvri60QCgOsxszUDH3P3DtU0EAL1VslJ2iLv/tjBw91clHTrQG8zsSDN7wMyeNLPHzWxecnxcUvJ+lXw9uOg9V5lZp5n90szOrPCfBwD2MrP9zGycpEOSXyTHJY9Jkt49yHuZvwDUVCWlbI+ZTSwMzOw9Gvzi2G5Jl7v7+yR9WNJsMztO0pWS1rj7ZElrkrGS781UfvftFkm3JztvA8Db8T8lbZB0rKRHkucblN849rZB3sv8BaCmKillV0v6iZl9x8y+I+nHkgbc+8fdt7r7I8nz7ZKelDRB0jmS2pOXtUv6VPL8HEl3u/tud39GUqekUyvICAB7ufsCdz9K0pfc/aiix0nu/reDvJf5C1U3evTokvH+++8fKAliNOiO/pJkZnWSxko6WfnfGE3SX7j7y0P9g5LTBR+Q9O+SDnP3rVJ+4jOzwmnQCZIeKnrb5uRY+c+6RNIlkjRx4sTybwNAuS1m9umyY9skbXT3Fwd7czXnr+TnMYeNULt27SoZ79y5M1ASxGhIpczd95jZF919qaQfVPqHmNmBkr4r6VJ3f82s390z+vpGr1Ok7n6HpDskqbm5mf2FAAzmIkkfkfRAMs4pX6Dea2b/x9373dG/2vOXxBwGoG+VnL5cZWZfSi5+LVwsO26wN5nZPspPaEvc/d7k8Atmdnjy/cOVvzmwlP/N8siitx8h6fkKMgJAX/ZIep+7f8bdPyPpOEm7JX1I0hX9vYn5C0AtVVLKPidptvLXkq0vevTL8r9S/p2kJ939lqJvLZfUmjxvVf6i28LxmWY2ysyOkjRZ0sMVZASAvhzl7i8UjV+U9F53f0XSm329gfkLaRg7dmzJ+OCDD+7nlRiJhnT6MnGFpJXJ8v3/Uv76sq8M8p7TJf2JpI1m9ovk2NWSvippqZldJOlZSedKkrs/bmZLJT2h/CefZrt7TwUZAaAvD5rZDyTdk4w/I+nHZnaApN/28x7mL1Tdtm3bSsavvvpqoCSIUSWl7K/cfamZfVTSdEk3S/qG8sv/fXL3n6j/2y+d0c975kuaX0EuABjM65K+Lemjys9JHZI+6O47JE3p6w3MXwBqrZLTl4Xf+GZI+qa7L5O0b/UjAUDVTXf377r7X7j7pe7+/ySdFToUABSrZKVsi5l9S9I0SV8zs1Gq7r0zAaCqzOwLkv5c0jFm9mjRt8ZI+tcwqQCgb5WUsvOU36X6b9z9t8mnjr6cTiwAqIp/kHS/pJuU7Lyf2J5c5A8A0RhyKXP3nZLuLRpvlbQ1jVAAUA3uvk35TWLPD50FAAbD6UcAAIAIUMoAAAAiQCkDAKBGjjjiiJIx9z5FMUoZAAA1cswxx5SMjz766EBJECNKGQAANfLggw+WjNetWxcmCKJEKQMAAIgApQwAACAClDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACFDKAAAAIkApAwAAiAClDAAAIAKUMgAAgAhQygAAACJAKQMAAIgApQwAACAClDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACFDKAAAAIkApAwAAiAClDAAAIAKUMgAAgAhQygAAACJAKQMAAIgApQwAACAClDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACFDKAAAAIkApAwAAiAClDAAAIAKUMgAAgAhQygAAACJAKQMAAIgApQwAACAClDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACFDKAAAAIkApAwAAiAClDAAAIAKUMgAAgAhQygAAACJAKQMAAIgApQwAACAClDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACFDKAAAAIkApAwAAiAClDAAAIAKUMgAAgAhQygAAACJAKQMAAIgApQwAACAClDIAAIAINIQOAADAULS1tamzszN0jKqbN29e6AjvSFNTk+bMmRM6xrDAShkAAEAEWCkDAGTCcFiN6erq0mc+85m94+9+97tqbGwMmAgxYaUMAIAaKS5gY8eOpZChBKUMAIAaOu6443TAAQforrvuCh0FkaGUAQBQQ/vss4+amppYJUMvlDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACFDKAAAAIkApAwAAiAClDAAAIAKUMgAAgAhQygAAACJAKQMAAIgApQwAACAClDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgAqmWMjO7y8xeNLPHio6NM7NVZvar5OvBRd+7ysw6zeyXZnZmmtkAYDDMYQBqKe2VssWSWsqOXSlpjbtPlrQmGcvMjpM0U9LxyXtuN7P6lPMBwEAWizkMQI00pPnD3f3HZjap7PA5knLJ83ZJ6yRdkRy/2913S3rGzDolnSrpp2lmHIq2tjZ1dnaGjoEihX8f8+bNC5wE5ZqamjRnzpzQMapiuMxhALIh1VLWj8PcfaskuftWMzs0OT5B0kNFr9ucHOvFzC6RdIkkTZw4McWoeZ2dnfrFY0+qZ/9xqf9ZGJq637kkacPTLwROgmL1O18JHaEWMjeHAciGEKWsP9bHMe/rhe5+h6Q7JKm5ubnP11Rbz/7jtOvYT9TijwIya/RT94WOEFLUcxiA+IX49OULZna4JCVfX0yOb5Z0ZNHrjpD0fI2zAcBgmMMApCJEKVsuqTV53ippWdHxmWY2ysyOkjRZ0sMB8gHAQJjDAKQi1dOXZvaPyl8Qe4iZbZZ0raSvSlpqZhdJelbSuZLk7o+b2VJJT0jqljTb3XvSzAcAA2EOA1BLaX/68vx+vnVGP6+fL2l+eokAYOiYwwDUEjv6AwAARIBSBgAAEAFKGQAAQAQoZQAAABGglAEAAESAUgYAABABShkAAEAEKGUAAAARoJQBAABEgFIGAAAQAUoZAABABChlAAAAEaCUAQAARIBSBgAAEAFKGQAAQAQoZQAAABGglAEAAESAUgYAABABShkAAEAEKGUAAAARoJQBAABEgFIGAAAQAUoZAABABChlAAAAEaCUAQAARIBSBgAAEAFKGQAAQAQoZQAAABGglAEAAESAUgYAABABShkAAEAEKGUAAAARoJQBAABEgFIGAAAQAUoZAABABChlAAAAEaCUAQAARIBSBgAAEAFKGQAAQAQoZQAAABFoCB0AAJCetrY2dXZ2ho6BIoV/H/PmzQucBOWampo0Z86cYH8+pQwAhrHOzk794rEn1bP/uNBRkKj7nUuSNjz9QuAkKFa/85XQEShlADDc9ew/TruO/UToGEDURj91X+gIXFMGAAAQA0oZAABABChlAAAAEeCasiHYsmWL6ndui+J8MxCz+p1d2rKlO3QMAMgkVsoAAAAiwErZEEyYMEG/2d3Ap5eAQYx+6j5NmHBY6BgAkEmslAEAAESAUgYAABABShkAAEAEKGUAAAARoJQBAABEgFIGAAAQAUoZAABABChlAAAAEaCUAQAARIBSBgAAEAFKGQAAQAQoZQAAABGglAEAAESAUgYAABABShkAAEAEKGUAAAARoJQBAABEgFIGAAAQAUoZAABABChlAAAAEaCUAQAARIBSBgAAEAFKGQAAQAQaQgcAAKRny5Ytqt+5TaOfui90FCBq9Tu7tGVLd9AMrJQBAABEgJWyIarf+Qq/aUak7o3XJEl79jsocBIUq9/5iqTDQsdAkQkTJug3uxu069hPhI4CRG30U/dpwoSw8xelbAiamppCR0CZzs7tkqSmoykAcTmM/18A4G2ilA3BnDlzQkdAmXnz5kmSFixYEDgJAADVwTVlAAAAEaCUAQAARIBSBgAAEAFKGQAAQAQoZQAAABGglAEAAESAUgYAABABShkAAEAEKGUAAAARoJQBAABEgNssAcAwV7/zFY1+6r7QMZCoe+M1SdKe/Q4KnATF6ne+IokbkgMAUsIN4uPT2bldktR0dNgCgHKHBf//hVIGAMPYnDlzQkdAmXnz5kmSFixYEDgJYsM1ZQAAABGglAEAAESAUgYAABABShkAAEAEoitlZtZiZr80s04zuzJ0HgCoBHMYgLcrqlJmZvWSbpN0lqTjJJ1vZseFTQUAQ8McBuCdiG1LjFMldbr705JkZndLOkfSE0FTDRNtbW3q7OwMHaMqCv8chY+WZ11TUxNbFwwPzGEpGi5zGPMX+hPVSpmkCZKeKxpvTo4BJUaPHq3Ro0eHjgGUYw7DoJi/0J/YVsqsj2Pe60Vml0i6RJImTpyYdqZhg99kgNQxh6WIOQzDXWwrZZslHVk0PkLS8+Uvcvc73L3Z3ZvHjx9fs3AAMAjmMABvW2yl7GeSJpvZUWa2r6SZkpYHzgQAQ8UcBuBti+r0pbt3m9kXJf1IUr2ku9z98cCxAGBImMMAvBNRlTJJcvf7JN0XOgcAvB3MYQDerthOXwIAAIxIlDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACFDKAAAAIkApAwAAiAClDAAAIAKUMgAAgAhQygAAACJAKQMAAIgApQwAACAClDIAAIAIUMoAAAAiQCkDAACIAKUMAAAgApQyAACACJi7h87wjpjZS5J+HToHgjhE0suhQyCI97j7+NAhqoE5bMRi/hq5+p2/Ml/KMHKZ2Xp3bw6dAwAqxfyFvnD6EgAAIAKUMgAAgAhQypBld4QOAABvE/MXeuGaMgAAgAiwUgYAABABShkAAEAEKGUAAAARoJQBAABEgFIGAAAQgf8PIvZABRi5GCIAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot, ax = plt.subplots(1, 2, figsize=(10,10))\n", + "sns.boxplot(ax=ax[0], y=test_triples_prot_as_src['src_training_degree'])\n", + "sns.boxplot(ax=ax[1], y=test_triples_prot_as_src['tgt_training_degree'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "32f88dbe", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "b39d144b", + "metadata": {}, + "source": [ + "define logic" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "e0a43dd1", + "metadata": {}, + "outputs": [], + "source": [ + "from pykeen.triples.triples_factory import TriplesFactory\n", + "train_triples=triples_dict.get(TRAIN)\n", + "valid_triples=triples_dict[VALID]\n", + "\n", + "def compute_metrics_over_triples_with_ent_node_endpoint(model_id, \n", + " test_triples_w_node_degree_df, \n", + " test_set_slug,\n", + " node_endpoint_type, \n", + " train_triples,\n", + " valid_triples,\n", + " restricted_rels_by_node_endpoint_type_dict):\n", + " col_node_degree = f\"{node_endpoint_type}_training_degree\" # if predicting head, this should be the 'src_training_degree'\n", + " evaluator = RankBasedEvaluator(filtered=True)\n", + " model_base_path = model_registry_paths.get(model_id)\n", + " model = load_kge_model(model_base_path=model_base_path)\n", + " print(f'loaded model from {str(model_base_path)}')\n", + " additional_filter_triples = obtain_filtered_triples(test_type=test_set_slug,\n", + " train_triples=train_triples,\n", + " valid_triples=valid_triples\n", + " )\n", + " \n", + " test_triples_with_ent_node_endpoint_df = test_triples_w_node_degree_df.loc[test_triples_w_node_degree_df[COL_EDGE].isin(\n", + " restricted_rels_by_node_endpoint_type_dict[NODE_ENDPOINT_TO_PREDICT])]\n", + " ent_degree_values = test_triples_with_ent_node_endpoint_df[col_node_degree].unique()\n", + " result_dicts = []\n", + " \n", + " for degree_val in tqdm(ent_degree_values): \n", + " df_subset = test_triples_with_ent_node_endpoint_df.loc[test_triples_with_ent_node_endpoint_df[col_node_degree]==degree_val][[COL_SOURCE, COL_EDGE, COL_TARGET]]\n", + " triples_subset = df_subset.values\n", + " triples_subset = TriplesFactory.from_labeled_triples(triples_subset, \n", + " relation_to_id=train_triples.relation_to_id, \n", + " entity_to_id=train_triples.entity_to_id)\n", + " if triples_subset.num_triples > 0:\n", + " subset_result = evaluator.evaluate(model,\n", + " triples_subset.mapped_triples, \n", + " additional_filter_triples=additional_filter_triples,\n", + " use_tqdm=False)\n", + " result_dicts.append({'ent_degree': degree_val, 'results': subset_result, 'relation': 'All', 'count': triples_subset.num_triples})\n", + " return result_dicts\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "4eeb853e", + "metadata": {}, + "outputs": [], + "source": [ + "def extract_relevant_metrics(metric_name, results_by_node_degree_dict):\n", + " degrees = list(results_by_node_degree_dict.keys())\n", + " metrics = []\n", + " for deg, metric in results_by_node_degree_dict.items():\n", + " metrics.append(metric[metric_name])\n", + " return degrees, metrics\n", + " \n", + " \n", + "def plot_metric_vs_degree_scatterplot_single_model(model_id,\n", + " metric_name='hits_at_10', \n", + " results_by_node_degree_dict=None, \n", + " figsize=(7,7),\n", + " entity_type_examined=None, \n", + " ):\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " degrees, metrics = extract_relevant_metrics(metric_name, results_by_node_degree_dict) \n", + " plot, ax = plt.subplots(figsize=figsize)\n", + " sns.scatterplot(ax = ax, x=degrees, y=metrics)\n", + " plt.xscale('log')\n", + " plt.ylabel(metric_name)\n", + " plt.title(f'Average {metric_name} predicting {entity_type_examined} nodes Vs. {entity_type_examined} node degree | Model: {model_id}')\n", + " plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{model_id}-{timestr}')\n", + " #return degrees, metrics\n", + " \n", + " \n", + "def plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', \n", + " results_by_node_degree_dicts_combined=None,\n", + " entity_type_examined=None,\n", + " ):\n", + " result_dfs = {}\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " for model_id, result_dict in results_by_node_degree_dicts_combined.items():\n", + " degrees, metrics = extract_relevant_metrics(metric_name, result_dict)\n", + " result_dfs[model_id] = pd.DataFrame(np.column_stack([degrees, metrics]), columns=['degree', 'metrics'], dtype=float)\n", + " model_ids = result_dfs.keys()\n", + " concatenated = pd.concat([result_dfs[model_id].assign(dataset=f'{model_id}') for model_id in model_ids])\n", + " plot, ax = plt.subplots(figsize=(10,10))\n", + " sns.scatterplot(ax=ax, data=concatenated, x='degree', y='metrics', hue='dataset')\n", + " plt.xscale('log')\n", + " plt.ylabel(metric_name)\n", + " plt.title(f'Average {metric_name} predicting {entity_type_examined} nodes Vs. {entity_type_examined} node degree | Model: {list(model_ids)}')\n", + " plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{list(model_ids)}-{timestr}')\n", + "\n", + " #return degrees, metrics\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "d27ef02a", + "metadata": { + "tags": [] + }, + "source": [ + "#### predict on bioblp-p" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "deda5f8e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpp-cttc3ucm\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 253/253 [1:04:19<00:00, 15.26s/it]\n" + ] + } + ], + "source": [ + "MODEL_NAME_SLUG = BIOBLP_P\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "results_by_node_degree_bioblpp = compute_metrics_over_triples_with_ent_node_endpoint(model_id=MODEL_ID,\n", + " test_triples_w_node_degree_df=test_triples_prot_as_src, \n", + " test_set_slug=TEST_RESTRICTED_PROT,\n", + " node_endpoint_type=COL_SOURCE,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " restricted_rels_by_node_endpoint_type_dict=RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "49420f6e", + "metadata": {}, + "outputs": [], + "source": [ + "results_by_node_degree_dicts_bioblpp = {}\n", + "for result in results_by_node_degree_bioblpp:\n", + " results_by_node_degree_dicts_bioblpp[result['ent_degree']] = make_results_dict_all_rel(result['results'],\n", + " relation=result['relation'],\n", + " relation_count=result['count'],\n", + " triple_endpoint='tail',\n", + " metric_type='realistic'\n", + " )\n", + "#results_by_node_degree_dicts_bioblpd" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "c2d16364", + "metadata": {}, + "outputs": [], + "source": [ + "results_by_node_degree_bioblpp = results_by_node_degree_bioblpd" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "0bfdee3a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing results to metrics/bioblpp-cttc3ucm/node-degree-eval.json\n" + ] + } + ], + "source": [ + "\n", + "WRITE_TO_FILE=True\n", + "if WRITE_TO_FILE:\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + " eval_out_dir.joinpath(timestr)\n", + " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", + " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", + " print(f\"Writing results to {str(eval_out_file)}\")\n", + " with open(eval_out_file, \"w+\") as f:\n", + " json.dump(results_by_node_degree_dicts_bioblpp, f)\n" + ] + }, + { + "cell_type": "markdown", + "id": "1538b10f", + "metadata": {}, + "source": [ + "### predict on rotate" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "id": "70cec981", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 253/253 [1:05:45<00:00, 15.59s/it]\n" + ] + } + ], + "source": [ + "MODEL_NAME_SLUG = ROTATE\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "results_by_node_degree_rotate = compute_metrics_over_triples_with_ent_node_endpoint(model_id=MODEL_ID,\n", + " test_triples_w_node_degree_df=test_triples_prot_as_src, \n", + " test_set_slug=TEST_RESTRICTED_PROT,\n", + " node_endpoint_type=COL_SOURCE,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " restricted_rels_by_node_endpoint_type_dict=RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "id": "11a837fb", + "metadata": {}, + "outputs": [], + "source": [ + "results_by_node_degree_dicts_rotate = {}\n", + "for result in results_by_node_degree_rotate:\n", + " results_by_node_degree_dicts_rotate[result['ent_degree']] = make_results_dict_all_rel(result['results'],\n", + " relation=result['relation'],\n", + " relation_count=result['count'],\n", + " triple_endpoint='tail',\n", + " metric_type='realistic'\n", + " )\n", + "#results_by_node_degree_dicts_bioblpd" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "id": "2a46717e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing results to metrics/rotate-otxtubeb/node-degree-eval.json\n" + ] + } + ], + "source": [ + "WRITE_TO_FILE=True\n", + "if WRITE_TO_FILE:\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + " eval_out_dir = eval_out_dir.joinpath(timestr)\n", + " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", + " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", + " print(f\"Writing results to {str(eval_out_file)}\")\n", + " with open(eval_out_file, \"w+\") as f:\n", + " json.dump(results_by_node_degree_dicts_rotate, f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "76985caa", + "metadata": {}, + "outputs": [], + "source": [ + "MODEL_NAME_SLUG = ROTATE\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "\n", + "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", + " results_by_node_degree_dicts_rotate = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0702ea05", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "af424686", + "metadata": {}, + "source": [ + "### Plots V2 - (improved 17/03) - Plotting the difference in LP scores by RotatE and BioBLP-X" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "74fe35fe", + "metadata": {}, + "outputs": [], + "source": [ + "MODEL_NAME_SLUG = ROTATE\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "\n", + "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", + " results_by_node_degree_dicts_rotate = json.load(f)\n", + "\n", + " \n", + "MODEL_NAME_SLUG = BIOBLP_P\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}/20230321-134444\")\n", + "#eval_out_dir = Path(f\"/metrics/{MODEL_ID}\")\n", + "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", + " results_by_node_degree_dicts_bioblpp = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "7d82d2e5", + "metadata": {}, + "outputs": [], + "source": [ + "rotate_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_rotate, orient='index')\n", + "rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'})\n", + "rotate_df = rotate_df.astype({'degree':'float'})\n", + "\n", + "bioblpp_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_bioblpp, orient='index')\n", + "bioblpp_df = bioblpp_df.reset_index().rename(columns={'index':'degree'})\n", + "bioblpp_df = bioblpp_df.astype({'degree':'float'})\n" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "29afa335", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblpphits_at_3_bioblpphits_at_5_bioblpphits_at_10_bioblppinverse_harmonic_mean_rank_bioblpp
067.01290.5426360.6124030.6279070.6589150.5910180.3100780.4108530.4186050.4418600.364500
161.01110.3423420.4234230.4324320.4954950.3916400.1441440.1891890.1891890.2072070.172978
251.01580.2658230.3481010.4113920.5000000.3394530.0569620.0759490.1139240.1708860.088043
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 67.0 129 0.542636 0.612403 0.627907 \n", + "1 61.0 111 0.342342 0.423423 0.432432 \n", + "2 51.0 158 0.265823 0.348101 0.411392 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblpp \\\n", + "0 0.658915 0.591018 0.310078 \n", + "1 0.495495 0.391640 0.144144 \n", + "2 0.500000 0.339453 0.056962 \n", + "\n", + " hits_at_3_bioblpp hits_at_5_bioblpp hits_at_10_bioblpp \\\n", + "0 0.410853 0.418605 0.441860 \n", + "1 0.189189 0.189189 0.207207 \n", + "2 0.075949 0.113924 0.170886 \n", + "\n", + " inverse_harmonic_mean_rank_bioblpp \n", + "0 0.364500 \n", + "1 0.172978 \n", + "2 0.088043 " + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_df = rotate_df.merge(bioblpp_df, how='inner', on='degree', suffixes=['_rotate', '_bioblpp'])\n", + "merged_df.drop(columns=['Relation_bioblpp', 'Relation_rotate', 'Count_bioblpp'], inplace=True)\n", + "merged_df = merged_df.astype({'degree':'float'})\n", + "merged_df = merged_df.rename(columns={\"Count_rotate\":\"count\"})\n", + "merged_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "1d506050", + "metadata": {}, + "outputs": [], + "source": [ + "merged_df['num_unique_ents'] = merged_df['degree'].apply(\n", + " lambda x: len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_prot_as_src, \n", + " degree=x, \n", + " node_endpoint_type=NODE_ENDPOINT_TO_PREDICT)))" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "58cee133", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 253.000000\n", + "mean 0.263196\n", + "std 0.253267\n", + "min 0.000000\n", + "25% 0.078014\n", + "50% 0.156028\n", + "75% 0.429078\n", + "max 1.000000\n", + "Name: proportion, dtype: float64" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "min_c, max_c, mean_c, std_c = merged_df['count'].min(), merged_df['count'].max(), merged_df['count'].mean(), merged_df['count'].std()\n", + "merged_df['proportion'] = (merged_df['count']-min_c)/(max_c-min_c)\n", + "merged_df.proportion.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "2221bf69", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblpphits_at_3_bioblpphits_at_5_bioblpphits_at_10_bioblppinverse_harmonic_mean_rank_bioblppnum_unique_entsproportion
231.0160.00.00.00.00.008280.00.00.00.00.00008520.053191
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "23 1.0 16 0.0 0.0 0.0 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblpp \\\n", + "23 0.0 0.00828 0.0 \n", + "\n", + " hits_at_3_bioblpp hits_at_5_bioblpp hits_at_10_bioblpp \\\n", + "23 0.0 0.0 0.0 \n", + "\n", + " inverse_harmonic_mean_rank_bioblpp num_unique_ents proportion \n", + "23 0.000085 2 0.053191 " + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_df[merged_df['degree']==1.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "47272b53", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import EVAL_METRICS_SHORTLIST\n", + "for metric in EVAL_METRICS_SHORTLIST:\n", + " merged_df[metric] = merged_df[f'{metric}_rotate'] - merged_df[f'{metric}_bioblpp']" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "a958d895", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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xNNvHXOBBnBEaS3AGhRjoMf8IYBGw1/3/CHf6n3BGQax0j/f9HjHfAGx03/sDuA2jvez7TuAF97iX4HRPNxz4JZCHMwDLiR7LpwKvAwU4A1dc6zEv0n0vhTgDe/wMpwTJc93WPv+n3L8j3Hj2uJ/RIqCPj/gzgRM8tvE8zgAjJTg3k1P9OcfduB/AGRikBPgWGOLOexBncA7PdV8DftrB83o6sNh9vQv4h8fyh+Gck0U4w3Mf68d39VPgD8CXbuzvA7095r+AMwDJXuBznCHaPc+9/+LckJbhfJcz3c9upTvtUaAPzuiCJTiDxvTy2MaZ7rEucmMZ1ezzuc3d1l6cEQsj3HnHNjs/0nF6VNntfvb3t/G+57jv+Z/uvrfgfFfm4Jy3ecAVHsuH41wvtrvH/UEg0p3XC2fUxt045++bOKVofh1jH/Fl4JxjV7v7/NzPz8PreejlnJ3pvs/jvOx7HnCr+3d/d72b3NdDcb6/puEzwHm6modzrb3Sz2PW6ro+ztO7cEYu3YvzHUps41hdBax1P5P3aHpdnA2sc7d1P8518xrP3wePZcfgXF8L3PfxK5yCmGqgBuf6ucIjzibbwffvzCD3M2z4XjyAex3z8v4bjtevcH5LMoFL2/gujnLjKcL5jp3pLnudG3e1G/sb7bzGNhzvK9zjnQ/c0cpndxqwDOealQXc6TGvPdfrX+D8lpcA64FZrVwnff6Ge7kOtPYZHZDfrDa++5E45+XRHtN64fxWT3Bfn+rus8Q9Jrf5ue25tJ4vWOAHOL//W91p17rvvcA9Fqnu9M/Zl6eVAhe6033mSOz/b67X3ASn4PnXOHlUnrvNeI91L3fn7QHuaBZHEHA7sNmd/zzutcVHHD/DuV7twLnGeF5XfV7z3Pk/91j3GlrmEc2/w619J9sVd+N6/pwoXg5884Q+FKjF/bLQ9MJ3LB5fhObbcANfAvwGp1/jwTg/wCd5nBg1wNnuspE4oyU+BEQDKTg/BNd7fIlrcE7UYOBG9wA3nBxv4SQPvdy4j3GnT3ZPlhnuele4J0Z4K8fhE5yLywBgQ8N7duffDtzl/v0E+35EH3Y/pBs95v2klS9oCXC0ezLdh/tj5O63EOdkDgEudl8nNf8MmsX8JpDgxrwbONnHvu/Eucic5G7/CZyT7g73uF2Le1Fwl/8M+A/ORXyiu+2Gi/LdwBduzOnAdw3nhJ+ff8OPzfXAGzjDdwcDU4A4H/Fn0vTiUolzoQzGSR6+8eccdz+DApxkOwTncf18d97ROD9iDedWL5wb2FQ/31fz8/pr4HJ3fgxwmPt3f5wv9anusrPd18ltfFc/xTnXhrvb/xS422P+VTjdD4bjjNq4vNm5txc40t1nhHtMv8FJ4vvjfF+WApPcbXwM/NZdfzjOhWs2zvnyc5wfjjCPz2ehe6wScZKzG5pfM9zPawVOch7txjGzjfc9B+d6dKW7/h9xLsIPuHGeiPO9inGXvxfnxyzRPR5vsO+7mwSch3POxeIk3a/6e4x9xJeBc4494b6nSD8/D6/noec5i/N9zQKm+9j3VexL8i5xY3/OY95rHp9BLc7w8aE451457g1bG8es1XV9nKc5wFj3eLxEywSz8VjhfGc24SS1ITg/9l+5y/fGSfzOd/f9EzeWFgm9G3cuzo1HhPt6RvPrTrM4PbfT2u/M1zg//mE4N1jFzbfnsd2G4/UP97M/Bue7M8LHdzHWff+/crd/PM757Ln8Hz22355rbMPxfsQ91hNwqtaOaiX2ce4+xuMkOme353qN86Q/i33JZAb7Ck3upOV10utvuI/rQGuf0QH5zWrrn3ts/+fx+nqaftdzgaM8flMm+7ndufjIFzyuER+47ynSPW/ycXKfcJyRhz9vfk3xeN1qjsT+/+Z6zU1wrkub3OMcg1O486Q7bzTODUfDe/4HznepIY4f4/xmpbnzHwKe9RHDyTjnb8N16Bma5gL34vuadzJOYcwYnPP9SVrmEZ7f4ajWzqH2xN3kPfhzong58EO9TN+JW6pA+xL6GcD2ZvN/CTzucWJ4nmR9cC4wnndGFwOfeHyJN3nMi3L31xfoh/O0oMUPC87d0x+aTVuP74uFxSMZBm4CPvJ4/QX7vpRXA6+7f6/FuXtrSAq34eML654Enj/aMTgl7+k4ifzCZst/Dcxp/hk0i3mmx+vngdt97PtO4AOP12fgfHEanoTEuttLcOOpA2I9lr8LmOv+vaXZsbqOfRdHfz7/hh+bq2jjyYnHNjJpenH50GPeaKDCn3Pc/Qw8L76nAuvcvw1Ooni0+/pa4OOOnNfutM+B39GshBen9OrJZtPew6OU2cf7+BT4dbNz9F0fyya47zve430/4eWYepYcvgT81+P1D3GTXeD/gOc95gXhJG3HemzrMo/5fwEedP8+1uP8OBzn4h7S1mfusa05wEaP1+Pc99bHY9oenB9xg5M8eZZ2H47HzWqzbU8ECjtyjD2WyXDjGdzKMt4+D6/nocc5+0uc68m4VrY7BKd0LQinhOl6j2M9j31Pl47FuTkN8Vg3D+dJUavHrLV1WzlPPW80R+OUMAd7O1Y4T4SubnZuleNU5fw+HomDG2s23hP6i4FlPmK6k7YTel+/MwNwkoooj/lPNd+ex7xj3eWjPaY9D/yft+8icBTO763nE+FncUvHaZnQt+ca23C8PZ9CLQQu8vO7dy/wT/dvv67XODeieTillqFePgfP33+fv+FettvaZ3TAfrP8iGsmTnLXcCP/JR6Feji/Kdfjo7Cqle3OxUe+4L62wPEe8x8F/tJs+Rogw2N5z4S+1RyJ/f/N9ZqbAB/hPkV0X49w4wzBSYg933M0zrWjIY61uDdpHudPDV5+T4DHaHodGs6+gpK2rnmP4Sb3Hud08zzC8zvc1nfS77g9/3VKLzfGmFAgGacEqb0GAqnGmKKGfzglD308lslqtnwokOux/EM4JfUNdjb8Ya0td/+MwfkSF1hrC33EcWuzONJxShB98YxrW8OyxpgEYCTOxQyckoCjjDF9cX6kngOONM7obfE4j7Da3Ie1thTnGKe6/7Y1W3YbTslpa3Z6/F2Oc1x82eXxdwWQb62t83iNu34qznEt8RFLKi2PVQN/Pv8GT+IksvONMTuMMX9xzz1/NH/fEe2oR+j1mFnnmzYfJzEAp8SzocFde89rcG78hgPrjDGLjDGne2zre822NRPnS96h2I0xwcaYu40xm40xxTgXY3BKOH3FBy3PieavG86nJuentbbe3Z7n+enPuZgObLPtr1vaPC6std5iTcYtLfE4tu+60zHGRBljHjLGbHOP0+dAQrM6kO35TnlqPL5+fh5t7efHODdRq3zt0Fq7GefGfCJOYvgmsMMYMwKnZPgzj8X3NDvuDfts9Zi1sa4vza8Pofg+FwcC93nsu6GaUH+aXWvc76i38xicc2tzKzG1xdfvTMP1sNxjWV8xNCi01pZ5vG78PfGyfiqQ5X6nPJf3de1vzzW2gV/ntDFmhjHmE2PMbmPMXpxqEw2fm1/Xa+s0uvwxThKYZ4yZb4zx9d5b+w1v9X34+IwO9G9WC9baBTiFFGe5valNwykNbnAezg37NmPMZ8aYw/3ZrstXvtBiPi2v0aU4BR2tnUftyZHa+5vr65xrnutsw0nm+9Dy+17mvgfPmF/xiHctzk2Ot8+qtc+8rWte83W9fd+bX8NaO4faE3ejzuq28iycEoaFHVg3C+cuJ8HjX6y19lSPZWyz5atwSjEblo+z/rWwzgIS3YTb27w/NYsjylr7bCvbS/f4ewDO4zxwHnt/1JD8uhescpw695+7F5GdOHf9C5pdmH3uwxgTg/O4Z4f7b2CzZQfglIJC02N2oO3AOa6xPmLJpeWxauDP5w+AtbbGWvs7a+1onDrRp+OUyAXSs8D5xpiBOHfdL7nT23teY63daK29GOfm9B7gRWNMtLutJ5ttK9pae/d+xH0Jzvf2BJybygx3umdjrf05h5qcn24jsHT2nRP+ygIGHMBGXPk4yf0Yj2Mbb/f1dHQrTonQDGttHM6jXWh6nDrK8/j683m05XvA2caYH7ex3Gc4VVLCrLU57uvv4zzeX+7Hfto6Zh3R/PpQ4+6nQfPfgOubfR8irbVf0exa43HeeZOF88TCm/0593NxrodRHtN8xdCgl/tdb+D5e9I8nh1AujEmqNnyvq79fl9jO+AZnGoI6dbaeJynPgbad7221j5jrZ2Jc82wONe/xtnN3ouv3/D2OCi/Wa14AudYXA6871nYYK1dZK09C+d34FWc0mp/+coXGjfv8Xfza3Q0ThVDX9fojuRInaF5rtPwBGwXLb/vUTjvwTPmU5rFHOFe95pr7TNv65qXi1M9poG373vz87i1c6g9cTfar4TeGJNojLkUp27qPdbaPW2t48VCoNgY8wtjTKRbUjXWGDPN28LW2lychmd/N8bEGWOCjDFDjDHHtLUjd913gP8YY3oZY0KNMQ0/0I8AN7glDsYYE22MOa3ZF765n7nbSQduwSl5B6ehUPPebT4DbmZfCdinzV77cqoxZqYxJgyn8d231tosd/vDjTGXGGNCjDEX4jzWetNdbxdOvawDzo3nK+AuY0yEMWY8TmlzQ2n188Av3WOVhlM1o4Hfn78x5jhjzDi3dLQY50e/rvlyB5O1dhlOacv/gPestUXurHad1wDGmMuMMcnuDV7DdupwHtefYYw5yd1OhHH6RU7ztS0/xOLcGO/BKXno7K7rngdOM8bMckvlbnX391Xrq7WwEOdiebf7nYwwxhzZWUG6x/oR4J/GmBQAY0x/Y8xJ7iKxOBfyImNMIvDbztp3M53xeewAZgE/Msbc1MpyDdeiz93Xn+J8JxfYfU/gfPLjmHXEZcaY0e4P8u+BF1uJ5UGc68kYd9/xxpjvufPeAsYYY851bwJ/hFPFwps3gb7GmB8bY8KNMbHGmBnuvF1ARrOk2S/W2m04jdvvNMaEuSWsZ/ix6u/c5Y/CSX5f8LHctziP/3/u/oYd625/vkfsntf+dl+L2iEWp6S70hgzHefGFPD/em2MGWGMOd4YE45T77rC23LQ5m+43w7kb5Z7bW7rhvAJnJv3a3GquuGuG2acsRLirbU1OMetPb9xvvIFb54BrjTGTHSP/Z/d5TPd+c3Po47kSJ3hWeAnxphBxrlJ+TNOu59anAbTp3u859/TNK99EPiTcQrcMMYkG6eLUG+eB+Z4XIcar/V+XPOexzmWo9x1f0Pr2vpOtifuRh1N6FcYY0pxGipcg1P/q6034JV70T4D5xHwVpw7of/hlFL58n2chgRrcBqCvoh/1Q/AuSOuwekFIQ/nUR/W2sU4X6773W1uwqmD15rXcBo2LMf5IXnUGGNwGgK+22zZz3Aufp/7eO3LMzgnVgFOo6JL3Xj34Fz0b8VJAn4OnG6tbSjVug+n5LjQGPOvNvbRGS7GKVXcAbyC0zjyA3fe73AeX23FuRl7smGldn7+fXE+62KcR1Cf4SS7gfYszsW58bFpB8/rk4HV7nfrPpx6q5XuBfksnEdyu3Hu3n/G/t2QP4HzmeTgfI++2Y9ttWCtXY/To9O/cd77GcAZ1trqdm6n4TgOxalbmg1c2Jmx4rRR2AR8Y5zqLh+yrx/8e3EakOXjHKPm3+vO0imfh7V2O05S/wvje1Cx5teeBTg3EW1dizy1dsw64kmceqY7cRop/sjXgtbaV3BKcOe7+/4OOMWdl4/zpOJunOviMJw6yt62U4JzrT7D3e9G4Dh3dkMyvccYs7QD7+dSnDq2e3AaZT+Hc8Pmy06c350dOEnlDdbadT7irsbpQeoUnPPyP8D3PZZ/FBhtnMf1r3bwWuSvm4DfG2NKcJIYz9Jkf6/X4TifVz7OcUjBudb54vU3vAMO1G9WOk57Np/cpPkrnDrfrzebfTmQ6Z7bN+BcRzHGDDDOoIcD8M1rvuAjho9w2jq9hFNoMgS4yGORO4F57nl0QQdzpM7wGM7x/xzneFfi3mBZa1fj9NzzjPseCnF+Ixrch3N833fP0W9wnqS3YK19B+d6/zHOe/u42SI+r3nuuv/C6ShlE/s+f6/feT/OIb/j9tTQ2ls6iVtKcb+1dnqgYxER6epMDxgEzxjzHE4j5hZPeNwS9qestfvzxE26COOMuvuCtfa9g7zfubRjQDE5cIwxo3AKGsLtQRworLPq0EtTB+qxvIiIdHHGmGnGqQoaZIw5GecJ26sBDksOAmvtNQc7mZfAM8ac41aZ6oXzBPGNg5nMgxL6TmetXeg+fhE54NxHsN7+HRXo2A4kY8yDPt73g4GODcCtB+stvg6NkC3dTl+ctgmlOI/ib3Tb24jIoel6nCqxm3HaPdx4sANQlRsRERERkW5MJfQiIiIiIt2YEnoRERERkW7sQA3WIh3Qu3dvm5GREegwRERERNq0ZMmSfGttcttLyoGmhL4LycjIYPHixYEOQ0RERKRNxphtgY5BHKpyIyIiIiLSjSmhFxERERHpxpTQi4iIiIh0Y6pDLyIiIl1eTU0N2dnZVFZWBjqUHiciIoK0tDRCQ0MDHYr4oIReREREurzs7GxiY2PJyMjAGBPocHoMay179uwhOzubQYMGBToc8UFVbkRERKTLq6ysJCkpScn8QWaMISkpSU9Gujgl9CIiItItKJkPDB33rk8JvYiIiIhIN6aEXkRERKSTnXrqqRQVFQU6DK/mzp3Ljh07Ah2GdCIl9CIiIiKd7O233yYhISHQYXilhP7Qo4S+A4wxjxlj8owx3/mYb4wx/zLGbDLGrDTGTD7YMYqIiBzKMjMzGTVqFNdeey1jxozhxBNPpKKigmOPPZbFixcDkJ+fT0ZGBuAksWeffTZnnHEGgwYN4v777+cf//gHkyZN4rDDDqOgoMDnvlrb5rnnnsvJJ5/MsGHD+PnPf964TkZGBvn5+QD86U9/YsSIEZxwwglcfPHF/O1vf2t1u3V1dfzsZz9j2rRpjB8/noceeqjVY/HXv/61cdnf/va3rR6fF198kcWLF3PppZcyceJEKioquP322xk9ejTjx4/ntttua8enIF2FEvqOmQuc3Mr8U4Bh7r/rgP8ehJhERER6lI0bN/KDH/yA1atXk5CQwEsvvdTq8t999x3PPPMMCxcu5I477iAqKoply5Zx+OGH88QTT3QohuXLl/Pcc8+xatUqnnvuObKysprMX7JkCfPnz2fZsmW8/PLLLFq0qM1tPvroo8THx7No0SIWLVrEI488wtatW70u+/7777Nx40YWLlzI8uXLWbJkCZ9//jng/ficf/75TJ06laeffprly5dTUVHBK6+8wurVq1m5ciW//vWvO3QcJLCU0HeAtfZzwPetPJwFPGEd3wAJxph+Byc6ERGRnmHQoEFMnDgRgClTppCZmdnq8scddxyxsbEkJycTHx/PGWecAcC4cePaXNeXWbNmER8fT0REBKNHj2bbtm1N5n/xxRecc845REVFERcXx5lnntnmNt9//32eeOIJJk6cyIwZM9izZw8bN270uez777/PpEmTmDx5MuvWrWtc1p/jExcXR0REBNdccw0vv/wyUVFR7TsA0iVoYKkDoz/geYue7U7LDUw4IiIih57w8PDGv4ODg6moqCAkJIT6+nqAFn2ney4fFBTU+DooKIja2lqf+/F3m8HBwV6346vbR1/btdby73//m5NOOslnTJ7L/vKXv+T6669vMj0zM9Pr8fEWw8KFC/noo4+YP38+999/Px9//HGb+5WuRSX0B4a3b671uqAx1xljFhtjFu/evfsAhyUiInJoy8jIYMmSJQC8+OKLAd/m0UcfzSuvvEJFRQUlJSW88cYbbW73pJNO4r///S81NTUAbNiwgbKyMq/bP+mkk3jssccoLS0FICcnh7y8vFZjio2NpaSkBIDS0lL27t3Lqaeeyr333svy5cvb9f6ka1AJ/YGRDaR7vE4DvDYnt9Y+DDwMMHXqVK9Jv4iIiPjntttu44ILLuDJJ5/k+OOPD/g2J0+ezIUXXsjEiRMZOHAgRx11VJvbveaaa8jMzGTy5MlYa0lOTubVV1/1uv0TTzyRtWvXcvjhhwMQExPDU089RXBwsM+Y5syZww033EBkZCTvvPMOZ511FpWVlVhr+ec//9mu9yddg7FWOWRHGGMygDettWO9zDsNuBk4FZgB/MtaO72tbU6dOtU2tHYXERGRfdauXcuoUaMCHcZ+u/POO4mJiel2vcl4O/7GmCXW2qkBCkk8qIS+A4wxzwLHAr2NMdnAb4FQAGvtg8DbOMn8JqAcuDIwkYqIiIjIoU4JfQdYay9uY74FfnCQwhEREZFO8IMf/IAvv/yyybRbbrmFK6/svHK5O++8s0PrrVq1issvv7zJtPDwcL799ttOiEq6OyX0IiIiIsADDzwQ6BB8GjdunBqsik/q5UZEREREpBtTQi8iIiJdxpode3n4880s2tra+I0i4klVbkRERKTL+Ot76/lk/W6SY8N5/ydH0ysqLNAhiXR5KqEXERGRLmNQ72gARvSJITzk0E9TMjIyGDduHBMnTmTqVKcHyIKCAmbPns2wYcOYPXs2hYWFAY5SurpD/5siIiIi3cbNxw/l6Wtm8JfzJxAV1rUqEqxfv54PP/yQ9evXd+p2P/nkE5YvX07DWDR33303s2bNYuPGjcyaNYu77767U/cnh56u9U0RERGRHi0xOpwjh4YHOowm8vPzueWWW9i2bRvBwcHU1dUxcOBA7rvvPnr37t3p+3vttdf49NNPAbjiiis49thjueeeezp9P3LoUAm9iIiISCtuueUWNm3aRGVlJWVlZVRWVrJp0yZ+/OMf7/e2jTGceOKJTJkyhYcffhiAXbt20a9fPwD69etHXl7efu9HDm0qoRcRERHxYd26dWzbto26urom0+vq6sjMzGT9+vWMGDGiw9v/8ssvSU1NJS8vj9mzZzNy5Mj9DVl6IJXQi4iIiPiQnZ1NcHCw13nBwcFkZWXt1/ZTU1MBSElJ4ZxzzmHhwoX06dOH3NxcAHJzc0lJSdmvfcihTwm9iIiIiA9paWktSucb1NXVkZ6e3uFtl5WVUVJS0vj3+++/z9ixYznzzDOZN28eAPPmzeOss87q8D6kZ1CVGxEREREfRo4cycCBA9m0aVOTxD44OJiMjIz9qm6za9cuzjnnHABqa2u55JJLOPnkk5k2bRoXXHABjz76KAMGDOCFF17Y7/chhzYl9CIiIiKtuO+++/jxj39MZmZmYy83GRkZ3Hvvvfu13cGDB7NixYoW05OSkvjoo4/2a9vSsyihFxEREWlF7969eeqpp1i/fj1ZWVmkp6fvV8m8SGdTQi8iIiLihxEjRiiRly5JjWJFRERERLoxJfQiIiIiIt2YEnoRERERkW5MCb2IiIiISDemhF5ERESkDaWlpbz55pvMnTuXN998k7Kysv3e5lVXXUVKSgpjx45tnFZQUMDs2bMZNmwYs2fPprCwsHHeXXfdxdChQxkxYgTvvffefu9fDh1K6EVERER8sNby6KOPctJJJ3HPPffw3//+l3vuuYcTTzyRRx99FGtth7c9Z84c3n333SbT7r77bmbNmsXGjRuZNWsWd999NwBr1qxh/vz5rF69mnfffZebbrrJ5wi20vMooRcRERHx4bHHHuPxxx+nqqqKiooK6urqqKiooKqqiscff5zHHnusw9s++uijSUxMbDLttdde44orrgDgiiuu4NVXX22cftFFFxEeHs6gQYMYOnQoCxcu7PC+5dCihF5ERETEi7KyMh577DEqKyu9zq+srOSxxx7rlOo3DXbt2kW/fv0A6NevH3l5eQDk5OSQnp7euFxaWho5OTmdtl/p3pTQi4iIiHjxySefEBTUeqoUHBzMJ598csBj8Va1xxhzwPcr3YMSehEREREv8vPzqa6ubnWZqqoq8vPzO22fffr0ITc3F4Dc3FxSUlIAp0Q+Kyurcbns7GxSU1M7bb/SvSmhFxEREfGid+/ehIWFtbpMeHg4vXv37rR9nnnmmcybNw+AefPmcdZZZzVOnz9/PlVVVWzdupWNGzcyffr0TtuvdG9K6EVERES8OO6446ivr291mbq6Oo477rgObf/iiy/m8MMPZ/369aSlpfHoo49y++2388EHHzBs2DA++OADbr/9dgDGjBnDBRdcwOjRozn55JN54IEHCA4O7tB+5dBj9qe7JelcU6dOtYsXLw50GCIiIl3O2rVrGTVq1EHf76OPPsrjjz/utWFsREQEV155JVdfffVBj+tg83b8jTFLrLVTAxSSeAgJdAAiIiIiXdVVV10FON1XBgcHU1VVRXh4OHV1dVx55ZWN80UCSQm9iIiIiA/GGK6++mouuugiPvnkE/Lz8+nduzfHHXcc0dHRgQ5PBFBCLyIiItKm6OhoTj/99ECHIeKVGsWKiIiIiHRjSuhFRERERLoxVbkRERERaUNlZSWLFi2iuLiYuLg4pk2bRkRERKDDEgGU0IuIiIj4VFVVxf3338+rr75KUFAQ1lqMMdTX13P22Wdz8803Ex4e3qFtX3XVVbz55pukpKTw3XffAXDnnXfyyCOPkJycDMCf//xnTj31VADuuusuHn30UYKDg/nXv/7FSSed1DlvUro9JfQiIiIiXlRVVXHttdeyefNmqqqqWsx/+eWXWbFiBY888kiHkvo5c+Zw88038/3vf7/J9J/85CfcdtttTaatWbOG+fPns3r1anbs2MEJJ5zAhg0bNLiUAKpDLyIiIuLV/fff7zOZByfh37x5Mw888ECHtn/00UeTmJjo17KvvfYaF110EeHh4QwaNIihQ4eycOHCDu1XDj1K6EVERESaqays5NVXX/WZzDeoqqrilVde8TqSbEfdf//9jB8/nquuuorCwkIAcnJySE9Pb1wmLS2NnJycTtundG9K6EVERESaWbRoEUFB/qVJQUFBLF68uFP2e+ONN7J582aWL19Ov379uPXWWwGw1rZY1hjTKfuU7k8JvYiIiEgzxcXFXpNob6y17N27t1P226dPH4KDgwkKCuLaa69trFaTlpZGVlZW43LZ2dmkpqZ2yj6l+1NCLyIiItJMXFyc3yXgxhji4+M7Zb+5ubmNf7/yyiuMHTsWgDPPPJP58+dTVVXF1q1b2bhxI9OnT++UfUr3p15uRERERJqZNm0a9fX1fi1bX1/P1KlT272Piy++mE8//ZT8/HzS0tL43e9+x6effsry5csxxpCRkcFDDz0EwJgxY7jgggsYPXo0ISEhPPDAA+rhRhopoRcRERFpJiIigrPPPpuXX3651Yax4eHhnHPOOR0aZOrZZ59tMe3qq6/2ufwdd9zBHXfc0e79yKFPVW5EREREvLj55psZMmSIzz7mw8PDGTJkCD/4wQ8OcmQiTSmhFxEREfEiPDycRx55hPPOO4/IyEiio6OJiooiOjqayMhIzjvvvA4PKiXSmVTlRkRERMSH8PBwfvrTn3LTTTexePFi9u7dS3x8PFOnTu1QNRuRA0EJvYiIiEgbIiIimDlzZqDDEPFKCb2IiIiIH4qKiigtLSUmJoaEhIRAhyPSSAm9iIiIiA/V1dW8//77zJ07l5ycHEJCQqitrSUtLY0rrriCE088kbCwsECHKT2cGsWKiIiIeFFUVMTll1/O3XffTWZmJjU1NVRUVFBTU8PWrVu55557+P73v09RUVGHtp+VlcVxxx3HqFGjGDNmDPfddx8ABQUFzJ49m2HDhjF79mwKCwsb17nrrrsYOnQoI0aM4L333uuMtymHACX0IiIiIs1UV1dz/fXXs23bNiorK70uU1FRQWZmJjfccAPV1dXt3kdISAh///vfWbt2Ld988w0PPPAAa9as4e6772bWrFls3LiRWbNmcffddwOwZs0a5s+fz+rVq3n33Xe56aabqKur26/3KYcGJfQiIiIizbz//vvk5ORQW1vb6nK1tbXk5OTwwQcftHsf/fr1Y/LkyQDExsYyatQocnJyeO2117jiiisAuOKKK3j11VcBeO2117jooosIDw9n0KBBDB06lIULF7Z7v3LoUUIvIiIi0szcuXN9lsw3V1FRwdy5c/drf5mZmSxbtowZM2awa9cu+vXrBzhJf15eHgA5OTmkp6c3rpOWlkZOTs5+7VcODUroRURERDwUFRW1O1HOzs7ucF360tJSzjvvPO69917i4uJ8LmetbTHNGNOhfcqhRQm9iIiIiIfS0lJCQtrXEWBISAhlZWXt3ldNTQ3nnXcel156Keeeey4Affr0ITc3F4Dc3FxSUlIAp0Q+Kyurcd3s7GxSU1PbvU859CihFxEREfEQExPTZt355mpra4mOjm7XOtZarr76akaNGsVPf/rTxulnnnkm8+bNA2DevHmcddZZjdPnz59PVVUVW7duZePGjUyfPr1d+5RDk/qhFxEREfGQkJBA//79yczM9HudtLS0dg829eWXX/Lkk08ybtw4Jk6cCMCf//xnbr/9di644AIeffRRBgwYwAsvvADAmDFjuOCCCxg9ejQhISE88MADBAcHt2ufcmhSQi8iIiLSzJw5c7j77rv9ahgbGRnJnDlz2r2PmTNneq0XD/DRRx95nX7HHXdwxx13tHtfcmhTlRsRERGRZk488UTS0tLarEsfEhJC//79mT179kGKTKQlJfQiIiIizYSFhfHggw+SkZFBZGSk12UiIyPJyMjgwQcfJCws7CBHKLKPqtyIiIiIeJGQkMATTzzBBx98wNy5c8nOziYkJITa2lrS09O54oormD17tpJ5CTgl9CIiIiI+hIWFcdppp3HaaadRVFREWVkZ0dHR7W4AK3IgKaEXERERacXOnTt54YUXWLBgAeXl5URFRTFz5ky+973v0bdv30CHJ6KEXkRERMSb8vJyfvOb3/DVV18BUF1d3TgvKyuLZ599liOOOILf//73REVFBSpMETWKFREREWmuvLycOXPm8NVXX1FdXd0kmQcap3311VfMmTOH8vLydu8jKyuL4447jlGjRjFmzBjuu+8+AO6880769+/PxIkTmThxIm+//XbjOnfddRdDhw5lxIgRvPfee/v3JuWQoRJ6ERERkWZ+85vfkJ2d3SKRb666uprs7Gx+85vf8Le//a1d+wgJCeHvf/87kydPpqSkhClTpjR2f/mTn/yE2267rcnya9asYf78+axevZodO3ZwwgknsGHDBg0uJSqhFxEREfG0c+fOxpJ5fzSU1O/atatd++nXrx+TJ08GIDY2llGjRpGTk+Nz+ddee42LLrqI8PBwBg0axNChQ1m4cGG79imHJiX0IiIiIh5eeOGFDq33/PPPd3ifmZmZLFu2jBkzZgBw//33M378eK666ioKCwsByMnJIT09vXGdtLS0Vm8ApOdQQi8iIiLiYcGCBX6Xzjeorq5mwYIFHdpfaWkp5513Hvfeey9xcXHceOONbN68meXLl9OvXz9uvfVWAKy1LdY1xnRon3JoUUIvIiIi4qEjDVw7ul5NTQ3nnXcel156Keeeey4Affr0ITg4mKCgIK699trGajVpaWlkZWU1rpudnU1qamqHYpVDixJ6EREREQ8d7YKyvetZa7n66qsZNWoUP/3pTxun5+bmNv79yiuvMHbsWADOPPNM5s+fT1VVFVu3bmXjxo1Mnz69Q7HKoUW93IiIiIh4mDlzJllZWe2qdhMWFsbMmTPbtZ8vv/ySJ598knHjxjFx4kQA/vznP/Pss8+yfPlyjDFkZGTw0EMPATBmzBguuOACRo8eTUhICA888IB6uBEAjLf6WBIYU6dOtYsXLw50GCIiIl3O2rVrGTVq1EHZ186dOzn33HPbndC/8sor9OnT5wBGFjjejr8xZom1dmqAQhIPqnIjIiIi4qFv374cccQRhIWF+bV8WFgYRxxxxCGbzEvXp4ReREREpJnf//73pKWltZnUh4WFkZaWxu9///uDFJlIS0roRURERJqJiopi7ty5jSX1oaGhTeaHhoY2lszPnTu3ww1pRTqDGsWKiIhIt2CtPaj9rkdFRfG3v/2NnTt38sILL7BgwQLKy8uJiopi5syZXHDBBT2imo3aW3Z9ahTbhahRrIiIiHdbt24lNjaWpKQkDaZ0EFlr2bNnDyUlJQwaNKjJPDWK7TpUQi8iIiJdXlpaGtnZ2ezevTvQofQ4ERERpKWlBToMaYUSehEREenyQkNDW5QQi4hDjWJFRERERLoxJfQiIiIiIt2YEnoRERERkW5MCb2IiIiISDemhF5EREREpBtTQt9BxpiTjTHrjTGbjDG3e5kfb4x5wxizwhiz2hhzZSDiFBEREZFDmxL6DjDGBAMPAKcAo4GLjTGjmy32A2CNtXYCcCzwd2NM2EENVEREREQOeUroO2Y6sMlau8VaWw3MB85qtowFYo0znF0MUADUHtwwRURERORQp4S+Y/oDWR6vs91pnu4HRgE7gFXALdba+oMTnoiIiIj0FEroO8Z4mWabvT4JWA6kAhOB+40xcS02ZMx1xpjFxpjFGs5aRERERNpLCX3HZAPpHq/TcEriPV0JvGwdm4CtwMjmG7LWPmytnWqtnZqcnHzAAhYRERGRQ5MS+o5ZBAwzxgxyG7peBLzebJntwCwAY0wfYASw5aBGKSIiIiKHvJBAB9AdWWtrjTE3A+8BwcBj1trVxpgb3PkPAn8A5hpjVuFU0fmFtTY/YEGLiIiIyCFJCX0HWWvfBt5uNu1Bj793ACce7LhEREREpGdRlRsRERERkW5MCb2IiIiISDemhF5EREREpBtTQi8iIiIi0o0poRcRERER6caU0IuIiIiIdGNK6EVEREREujEl9CIiIiIi3ZgSehERERGRbkwJvYiIiIhIN6aEXkRERESkG1NCLyIiIiLSjSmhFxERERHpxpTQi4iIiIh0Y0roRURERES6MSX0IiIiIiLdmBJ6EREREZFuTAm9iIiIiEg3poReRERERKQbU0IvIiIiItKNKaEXEREREenGlNCLiIiIiHRjSuhFRERERLoxJfQiIiIiIt2YEnoRERERkW5MCb2IiIhIN1FVW0dWQTkllTWBDkW6kJBAByAiIiIibVu9Yy//eH8DH63LY3ifGO44bTTHDE8OdFjSBaiEXkRERKSLq6yp409vreWjdXkAbNhVyg1PLmHL7tIARyZdgRJ6ERERkS4uq6CcrzbvaTKtoqaO9btKAhSRdCVK6EVERES6uISoUHrHhLWYnhwTHoBopKtRQi8iIiLSxSXHRvDbM8YQZPZNu+7owYzrHx+4oKTLUKNYERERkW7g9PH9GJQUzYZdJfRLiGBSei/CQ4MDHZZ0AUroRURERLoBYwxj0+IZm6ZSeWlKVW5ERERERLoxJfQiIiIiIt2YEnoRERERkW5MCb2IiIiISDemhF5EREREpBtTQi8iIiIi0o0poRcRERER6caU0IuIiIiIdGNK6EVEREREujEl9CIiIiIi3ZgSehERERGRbkwJvYiIiIhIN6aEXkRERESkG1NCLyIiIiLSjSmhFxERERHpxpTQi4iIiIh0Y0roRURERES6MSX0IiIiIiLdmBJ6EREREZFuTAm9iIiIiEg3poReRERERKQbU0IvIiIiItKNKaEXEREREenGlNCLiIiIiHRjSuhFRERERLoxJfQiIiIiIt2YEnoRERERkW5MCb2IiIiISDemhF5EREREpBtTQi8iIiIi0o0poRcRERER6caU0IuIiIiIdGNK6EVEREREujEl9CIiIiIi3ZgSehERERGRbkwJvYiIiIhIN6aEXkRERESkG1NCLyIiIiLSjSmhFxERERHpxpTQi4iIiIh0Y0roRURERES6MSX0IiIiIiLdmBJ6EREREZFuTAm9iIiIiEg3poReRERERKQbU0IvIiIiItKNKaEXEREREenGlNCLiIiIiHRjSuhFRERERLoxJfQiIiIiIt2YEnoRERERkW5MCb0XxphwP5Y52Riz3hizyRhzu49ljjXGLDfGrDbGfNb5kYqIiIhIT9fjE3pjzGPNXscAb7exTjDwAHAKMBq42BgzutkyCcB/gDOttWOA73Vi2CIiIiIigBJ6gBxjzH8BjDG9gPeBp9pYZzqwyVq7xVpbDcwHzmq2zCXAy9ba7QDW2rzODVtERERERAk91tr/A4qNMQ/iJPN/t9Y+3sZq/YEsj9fZ7jRPw4FexphPjTFLjDHf77SgRURERERcIYEOIFCMMed6vFwI/J/7vzXGnGutfbm11b1Ms81ehwBTgFlAJPC1MeYba+2GZnFcB1wHMGDAgPa9CRERERHp8XpsQg+c0ez1MiDUnW6B1hL6bCDd43UasMPLMvnW2jKgzBjzOTABaJLQW2sfBh4GmDp1avObAhERERGRVvXYhN5ae+V+rL4IGGaMGQTkABfh1Jn39BpwvzEmBAgDZgD/3I99ioiIiIi00GMT+gbGmGTgWiADj+Nhrb3K1zrW2lpjzM3Ae0Aw8Ji1drUx5gZ3/oPW2rXGmHeBlUA98D9r7XcH7p2IiIiISE9krO3ZtTyMMV8BXwBLgLqG6dbalw52LFOnTrWLFy8+2LsVERERaTdjzBJr7dRAxyEqoQeIstb+ItBBiIiIiIh0RI/vthJ40xhzaqCDEBERERHpCCX0cAtOUl9hjCk2xpQYY4oDHZSIiIiIiD96fJUba21soGMQEREREemoHp/QAxhjegHDgIiGadbazwMXkYiIiIiIf3p8Qm+MuQan2k0asBw4DPgaOD6AYYmIiIiI+EV16J1kfhqwzVp7HDAJ2B3YkERERERE/KOEHiqttZUAxphwa+06YESAYxIRERER8UuPr3IDZBtjEoBXgQ+MMYXAjoBGJCIiIiLipx6f0Ftrz3H/vNMY8wkQD7wbwJBERERERPzWoxN6Y0wQsNJaOxbAWvtZgEMSEREREWmXHl2H3lpbD6wwxgwIdCwiIiIiIh3Ro0voXf2A1caYhUBZw0Rr7ZmBC0lEROTQtbu4ChMEvWPCAx2KyCFBCT38LtABiIiI9AS7iit58uttPPblVoKN4bpjBnPp9AEkKrEX2S89PqFvq968MeZra+3hByseERGRQ9VT32zj/k82Nb7++/sbCA0O4oZjhgQwKpHur0fXofdTRKADEBER6e52l1Tx6IKtLaY//uVWSipqAhCRyKFDCX3bbKADEBER6e6MgZAg02J6aJDBmJbTRcR/SuhFRETkgOsdE871XqrWXH3UYGIienwNYJH9om9Q21RsICIi0gkunp5OaHAQj3+5lZAgwzVHDeKcSWmBDkuk21NC37bLAx2AiIjIoSAxOpzrjh7MxdPTMcYQE640RKQz9PgqN8aYc40xG40xe40xxcaYEmNMccN8a+13gYxPRETkUBMbEapkXqQT6dsEfwHOsNauDXQgIiIiIiLt1eNL6IFdSuZFREREpLtSCT0sNsY8B7wKVDVMtNa+HLCIREREerjPNuzm9eU5JMdGcOG0NAb1jgl0SCJdlhJ6iAPKgRM9pllACb2IiEgArNmxl+ueWExVbT0AWQXl3H/JJPVXL+JDj0/orbVXBjoGERER2Se/tLoxmQdYkV1EZU0dkWE9Pm0R8arHfzOMMRHA1cAYIKJhurX2qoAFJSIi0oMNTYlhVN9Y1u4sAeDiaQOUzIu0Qt8OeBJYB5wE/B64FFAjWRERkQBJTYjkwcunsCizgLiIUI4a1jvQIYl0aUroYai19nvGmLOstfOMMc8A7wU6KBERkZ5sYFI0A5OiAx2GSLegbiuhxv2/yBgzFogHMgIXjoiIiIiI/1RCDw8bY3oB/we8DsQAvwlsSCIiIiIi/unxCb219n/un58BgwMZi4iIiIhIe/X4KjfGmD7GmEeNMe+4r0cbY64OdFwiIiIiIv7o8Qk9MBenEWyq+3oD8ONABSMiIiIi0h5K6KG3tfZ5oB7AWlsL1AU2JBERERER/yihhzJjTBJgAYwxhwF7AxuSiIiIiIh/enyjWOCnOL3bDDHGfAkkA+cHNiQREREREf/0+ITeWrvUGHMMMAIwwHprbU0bq4mIiIiIdAk9PqE3xgQDp+IMJhUCnGiMwVr7j4AGJiIiIiLihx6f0ANvAJXAKtyGsSIiIoeS4ooa3lqVywuLs4iPDOWCaemcMKoPocGd35Ru/c5i6uoto/rFYYzp9O2LSEtK6CHNWjs+0EGIiIgcKE9/u4173l3f+PqT9bv5z6WTOXVcv07dz/urd3LT00upt5Z/XjiRsyb279Tti4h36uUG3jHGnBjoIERERA6EvOJKHvhkc4vpz367vdP39en63dTWW+otvLQ0u9O3LyLeKaGHb4BXjDEVxphiY0yJMaY40EGJiIh0huq6eiprWg6vUlheTX297dR9TRqY0Pj3scOTO3XbIuKbqtzA34HDgVXW2s69somIiARY/4RILpqWzlPNSuQvnJZOUFDn1nE/a0J/UuMjqau3TM9I7NRti4hvSuhhI/CdknkRETkUGWO47pjB1FvLc4uzCQsO4sZjB3P6hNRO31dYSBBHDu3d6dsVkdYpoYdc4FNjzDtAVcNEdVspIiKHigGJ0fzpnHHccOxQQoMM/RIiAx2SiHQiJfSw1f0X5v4TERE55BhjGJAYFegwROQA6PEJvbX2d63NN8b821r7w4MVj4iIiIhIe6iXm7YdGegARERERER8UUIvIiIiItKNKaEXEREREenGlNC3rXM76RURERER6URK6Nt2X6ADEBERERHxpccn9MaYD4wxCR6vexlj3mt4ba2dG4i4RERERET80eMTeqC3tbao4YW1thBICVw4IiIiIiL+U0IP9caYAQ0vjDEDARvAeERERERE/NbjB5YC7gAWGGM+c18fDVwXwHhERERERPzW4xN6a+27xpjJwGE4Pdr8xFqbH+CwRERERET80mOr3BhjRrr/TwYGADuAHGCAO01EREREpMvrySX0P8WpWvN3L/MscPzBDUdEREREpP16bEJvrb3O/f+4QMciIiIi0hlKK2vJ3FNKfGQY6YlRgQ5HDpIem9B7MsYcAWTgcTystU8ELCARERGRdlq6rZBfv7aKNTtKiAwN5tYTh3P5YQMJDw0OdGhygPX4hN4Y8yQwBFgO1LmTLaCEXkRERLqFovJqfvbCCjbnlwFQUVPHH99ay4DEKE4c0zfA0cmB1uMTemAqMNpaq77nRUREpFX5JVX899PNLN1eyI9OGMZxI7rGWJQb80oak3lPq3L2KqHvAXpsLzcevgN0pouIiATIwq0F/Pujjcz7OpPswvJAh9Oqzzfu5tEvt7Isq4hbn19BUVl1oEMCICY8lCDTcnpcROjBD0YOOpXQQ29gjTFmIVDVMNFae2bgQhIREekZlmwr5LL/fUt1XT0An6zN4z+XTSYqrGumKLER++JKTYggJKRrlI2O6BPLlUdk8OiXmY3TEqNDOXp478AFJQdN1/y2HFx3BjoAERGRnmrJtsLGZB7g0w272ZxXxri0+ABG5dtRw5K576KJZBdWcNzIFGLCu0YqFRRk+OGsYYxOjWdFdhEpseEcPzKFEX3jAh2aHARd4ywMIGvtZ8aYPsA0d9JCa21eIGMSERHpKZKim1YJiQoLJiGq61YTiQgN5qyJ/QMdhlcJUWGcNyWN86akBToUOci6xnOiADLGXAAsBL4HXAB8a4w5P7BRiYiI9AzHjEjm4mnpGANxkSH85fzx6j9dpJ1MT+/cxRizApjdUCpvjEkGPrTWTjjYsUydOtUuXrz4YO9WREQkoGrr6tlWUE50WAh94yMCHY74yRizxFo7NdBxiKrcAAQ1q2KzBz25EBEROWhCgoMYkhwT6DBEui0l9PCuMeY94Fn39YXAOwGMR0RERETEbz0+obfW/swYcx5wJGCAh621rwQ4LBERERERv/T4hB7AWvuSMeYD3ONhjEm01hYEOCwRERGRVlXV1rGruIr4yBDiI8MCHY4ESI9P6I0x1wO/ByqAepxSegsMDmRcIiIiIq1ZkVXEvz7ayEfr8kjvFcltJ43gtHH9CAlWU8Cepscn9MBtwBhrbX6gAxERERHxx+6SSm5+ZilZhRUAZBVWcMv85SREhnLMiJQARycHm27hYDNQHuggREREfNldUsmmvFLKq2sDHYp0Eauy9zYm856+2aIawz2RSujhl8BXxphvgaqGidbaHwUuJBEREaiqqeOlpdn87f31FJTVMG1gL35xykimZiQGOjQJMBNkvE5XbZueSR87PAR8DHwDLPH4JyIiElAfr8/jV698R0FZDQCLthVy/ZOL2VGkB8s93YT+CQxJadp3vzFw2OCkAEUkgaQSeqi11v400EGIiIg09/mG3S2m7SmrYXnWXlITogIQkXQViTFh/OuiiTy2YCtvrcplaEoMNx83lCOH9g50aBIASujhE2PMdcAbNK1yo0poIiISUMHGe7UK71OlpxmTGs9fz5/A7SePIjoimKgwpXU9lT55uMT9/5ce09RtpYiIBNwxI5J56tvtTab1iQtn4oCEwAQkXU5QkCE5LjzQYUiA9eg69MaYIOB2a+2gZv+UzIuISMAdMzyFv39vAqkJEQAcNyKZBy+bQr/4yABHJiJdSY8uobfW1htjfgA8F+hYREREmgsLCeK8KWnMGpVCSWUtfeLCCQsJDnRYItLF9OiE3vWBMeY2nKS+rGGi6tCLiEhXkRAVRkJUWKDDEJEuSgk9XOX+/wOPaW3WoTfGnAzcBwQD/7PW3u1juWk4XWJeaK19cf/DFRE5OHYUVfDNlj2syC6ivKqOAYlRHD4kiXFp8YSrlFhEpMvo8Qm9tXZQe9cxxgQDDwCzgWxgkTHmdWvtGi/L3QO81xmxiogcLB+t3cVPnl9OcUWzkUk/gPOnpHHbicPpq3rc0olWZBXx1qpcBiZFce6k/kSqxxYRv+nbAhhjxgKjgYiGadbaJ1pZZTqwyVq7xV1/PnAWsKbZcj8EXgKmdWrAIiIH0Bcbd3P9k0uorbde57+4JJvKmjruOmccsZGhBzk6ORTV1Vv+8NYaFmcWApAaH8FxI/sEOCqR7qNH93IDYIz5LfBv999xwF+AM9tYrT+Q5fE6253mud3+wDnAg50WrIjIAVZZXcd/P93sM5lv8ObKXBZtU1Mj6RxBBuI9bg7DQlWlS6Q9VEIP5wMTgGXW2iuNMX2A/7WxjrcxPZr/+t0L/MJaW2d8DAwC4A5qdR3AgAED/I1ZROSAWJFdxFeb9/i17Hurd3G8SlGlExhj+OUpozh8cBLpvaKYkZEY6JBEuhUl9FDhdl9Za4yJA/Joe1CpbCDd43UasKPZMlOB+W4y3xs41RhTa6191XMha+3DwMMAU6dObb1ITETkANtRVOH3sl9v3kNVbZ0ayEqnGJoSw9CUmECHIdItKaGHxcaYBOARYAlQCixsY51FwDBjzCAgB7iIfSPOAk0b2xpj5gJvNk/mRUS6mlYeKLYQHGQIas8KHVBTV8+GXSUUV9QQEx7K8D4xhKs6hohIEz0+obfW3uT++aAx5l0gzlq7so11ao0xN+P0XhMMPGatXW2MucGdr3rzItItDeodgzFg/XheeMKoFEKDD1xTrM835PH0t9t5b/WuxmlHD+vN94/I4PgRKQQFHdibCRGR7qLHJ/TQ2IB1IO7xMMYcba39vLV1rLVvA283m+Y1kbfWzumcSEVEDqwxqXGcMrYvb6/a2eayB7L+/Fsrc/nR/GXUNWuc+/nGfL7YlM9fzhvP+VPSaK2NkohIT9HjE3pjzD3AhThdTta5ky3QakIvInIoCgkO4rqjBrNgU37LPug9XHf0YCYPSDggMWzdXcptL6xokcw3sBZuf3kVo1PjGJMaf0BiEBHpTnp8Qg+cDYyw1lYFOhARka5g4oBezJ0znT+8uZplWXubzIsMDeaWWcO4ZMaAA1aX/estBVTU1LW6TF295ctN+UroRURQQg+wBQgFlNCLiLgmD+zF09cextJthazJLaamzpIcE870wYlkJEUf0H2vzS32a7lvthRw3dFDDmgsIiLdQY9N6I0x/8apWlMOLDfGfIRHUm+t/VGgYhMR6QqiwkKYOSyZmcOSD+p+rT8tcoF6P5cTETnU9diEHljs/r8EeD2QgYiIyD4j+sb5tdz0QRp8SEQEenBCb62d589yxpiXrLXnHeh4RETEcfiQJMJDgqiqrfe5jDFw1NDeBzEqEZGu68B1IHzoaGvUWBER6URDU2L48znjWh3k6ndnjlGDWBERV48toW8HVdIUETnIzpnUn/jIEB5ZsJVvtxQ0Tp+QFs91Rw/mxDF9NbBUF1JVU8f2gnKiw0NITYjc7+3tKKqg3lrSekV1QnQihz4l9CIi0uUEBRlOGN2XI4f1Zs2OEooraoiJCGZ0vziiw0MDHZ54+C5nL399bx2fbcgnKiyYH80aymWHDSSmg5/Tx2t3cdMzS6mvh3svmsip4/p1csQihx4l9G1TEZCIyEFWVVPH2p3FlFbWEh8ZxpFDexMWolqiXU1pZS2/enkVK3Oc8QrKq+u4+5319I6J4Pwpae3eXn295R8fbKCyxmk/8ee313LsiGSiwpSuiLRG3xDAGBMJDLDWrvcy+xcHOx4RkZ7KWssn63bzvwVb+GrznsbpJ4xKYc4Rg5g5rOc2hC2vruXjdXl8uGYXFTV1HD+yD7NHp5AYHR6wmNbtLG5M5j29+11uhxL6oCDD4ORovtvhjEWQ0TuasGDdyIm0pccn9MaYM4C/AWHAIGPMROD31tozAay17wcwPBGRHuWNFTu45bnlNO9i/sO1eXy2YTcPXT6V40emBCa4AHv8y6389b0Nja/fW72LhVv788ezxxIZoBLsUB/Jdkx4x+O55YThZCRFU1tvOWtiKiFK6EXapG8J3AlMB4oArLXLgYyARSMi0kVV19azLb+MTXml7Cnr/MG1t+0p4/aXV7VI5hvU1Fl+9fJKdpdUdvq+u7qNu0q478NNLaa/tDSH5VlFBz8g18i+sZw8pm+L6aeOb73ee3295eWl2dz8zFLeW53bZN6Q5Bh+euIIfn7ySL/HJBDp6Xp8CT1Qa63da1rrH01EpAcrr67l0/W7eXlpNh+uzQMgOSaMa44azPEjUxjWJ7ZT9vPtlj2UV9e1uszO4ioWZRb2uIaSOUUVVNd575c/q6CCw4cc5IBc4aHB3HHaSIamRPPikhz694rk6iMzOH5E609R1u0s5tYXVmAtvLd6Jx/fGk96onq0EekoJfTwnTHmEiDYGDMM+BHwVYBjEhHpEkqrarj3w43874utTabvLq3mrnfW8fiXW3no8qlMSE/Y731lFVb4t1xB+X7vq7tJjg0nyEC9l6cXKbGBq0MPkJ4YzW0njeSGY4YSFmIICwluc52Y8BBiI0Iorqilb1wEkWFtryMivimhhx8CdwBVwLPAe8AfAhqRiEg71dVbVu/Yy+JtBZRU1BIRGsz4tAQmDognMrTppb6ksoZl24tYuHUPO/dWkRgTxtSBvZg2qBe9opomh2+tzG2RzHvaWVzFj+cv5/kbDiM5NmK/3kOwn/3KhwT3vCeqo/rG8f3DBzL3q21Nps8c2pspGb32a9tlVTUs3VbEzuJKBvWOZlxaPOF+JOXNxUT4n1IMSIpm3pXTWbOjmIkDEugdE9ibEpHurscn9NbacpyE/g5jTDAQba3teRU0RaTTVVbXsTJnLzv3VoCB9F5RjO0f77MhYUdt3V3Kvz/exCvLc1rUPz9scCK/OmUU490S9C27S/nt66v5YmN+k+UeBkb1i+Wv509gbH9nBNai8moe+mxL2/vfU8bCrQWcNj7V6/zswnKKyqsJDQ4iPTHKZxeEY1L9qy/dE0eIDQoy/HDWMDKSonnym+1U1tRx0bR0zp6USmxEx/vlLyyr5vdvruGVZTmN0354/FB+cNxQIkL9S+rLqmrYUVRJr+iwdiXmkwb0YtKA/bsZERFHj0/ojTHPADcAdcASIN4Y8w9r7V8DG5mIdFd19ZaP1u7i8S+38rXHKKcAs0f34fuHDeSo4cmdsq/tBeX8+LnlrMhu2XUgwDdbCpgzdyHzrpxOn/gIfv7iShZvK/S67NrcEm56einzrpzGoOQYVu8oZkt+mV9xfLl5T4uEfum2Qt5bvZN5X2c29is+PaMXF00fwHEjU+gVFdZk+WkZiYzqF8va3BKf+zl2eG8mpiX4FdOhJik6nDlHDuKi6enU10PUfvQk02DBpvwmyTzAvz/exMyhvZkxOKnN9feUVnHn66t5Y2Uug3tH8+9LJvXIGy6RQFMvNzDaWlsMnA28DQwALg9oRCLSbdXXW55duJ3rnlzSIpkH+GDNLubMXcRbK3d0yv5eX57jM5lvUFBWwwOfbOarTfk+k/kG2wvK+XT9bsBpDOuvXcVNH2x+sGYnFz/yDQ99vqUxmQdYmFnIT59fwW9e+478kqY95SREhfGX88YzwEfjyDH94vjVaaOJ6EL1rWvr6lmzYy8Lt+5h464SrK8uejpRRGhIpyTzAJvyvN88bcor9Wv9hVsLeGOl00vNlvwy3l+9q1PiEpH26fEl9ECoMSYUJ6G/31pbY4w58FdkETkkfbU5n/977btWl6mrt/z4ueWk9Yrar8akuXsr+N8C3/XbPX23Yy9lVf4l6P9bsJVzp/RvV1WO/gmRjX+vzC7i5meWUVXrvVcWgDdW5JKRFM2tJ45oMn1cWgJPXj2dLzbm8+y329lVUsnAxGgumJrGzGG96d+r6/SEsnDrHh5bkMm7q3cCEBJk+N7UNC47bGC3KaVOifPe7sHX9ObCm43e61lNJ7uwnO9y9pIQFcrEtF5EhAVTVVPH8qwigoMME9ITOr36mUhPpYQeHgQygRXA58aYgUBxQCMSkW7JWstbq3J99qPuqabO8un6vP1K6DfsLKWovMavZdN7RbF2p3+XtpyiCorKahibGs+Y1DhW72h7vaOG7hvB9eO1ea0m8w0e+WIL507qz6DkmCbTByZFMzDJSeIra+qJDAs+aInf7pJK1u0sobbO0i8+ghF9Y/HWrfE3W/Yw5/GFTZ4+1NZbnl2YxUfr8pg7Zxqju0FSf9SwZIb3iWHDrn0l8rNHpzAoKYql2wroEx/Z5GatucOHJHHr7OE89e02pmckcto4p0/6VTl7uXruIvLcpzDXHz2Yn84eziNfbOFv7zuDY/3uzDFccUTGgXtzIj1Ij07ojTFBwC5rbX+PaduB4wIXlYh0V1vzy3hhcbbfyz+6YCuXzhhA7w72DuOrX3Jvqmrr/O65JMhASIghJiKE644azC3PLW91+Qlp8Uwd5DRuzC+t5LEv/XtqUFlTz+JthS0S+gZhIcF+dYHYGYoranh5aTb/+XQTeSXVwL4S9zlHZDQZ4Kiqpo77P97UJJn3lFdcxQtLsvltOxJ6a63XG4cDbUBiFA9fPpXPNuwmd28lI/vFUlBazTn/+YqSqlpiw0P42UkjuHBaOuFeGslGhoXww1nDuHLmIKJCgwlyeyp6d1VuYzIP8NDnWzh+ZAqPePSY9L8FW7hwWrrfjW/bq7q2ngWbdrN+ZwmDekdz9PBknw2yRbq7Hv2sy1pbD9zcbJq11vpfcVRExFVUXk2tt47CfSiurKW4suOXm15R/leJWb2jmNmjWx/sp8EZ41PpG+eUyp48ti+/OHmEz2VH9onlnvPGN3Z3WdLO91RUUe33sgdKRXUtf/9gA3e+saYxmYd9Je7XzFvC+p376pp/t6OYBZvyvW2q0TPfbmfbnrYbFH+zZQ+/fGklJ937OXe+vppl21tv43AgZPSO5oojMrj9lJGEBQfx+zfXUOJWzyqpquU3r6/mo3V5rW6jtq6encWVjW0I9no5B2rq6pk6cF+vNtMzEg9YMg/w1sodXDV3Mfe8u54bnlrK84v8v9kW6W50qwofGGNuA54DGq++1tqWrdlERFoR0oFqIR1Zp8GY/nFMG9iLRW00dAUICw7i+JF9mPf1tjarBJ0xoV9jn/DhocFcc9RgxvWP5/01u3h1WQ6VNfWM7BfDpTMGMnNo03rtYSFBPgdA8qYj/Z13tkWZhcz7KtPn/KzCcl5ems0vTx0FwF4/bkKqauvZW9F6daivNuVzxeMLqalzDtaGXaU8vziLp6+ZEbDuHN9ZletzurfReevrLW+u3MHd764jr7iKi6anc+MxQzhuRDJPf7vvXJsysBfj0hL4v9NHM2NwIsHGcPLYvgfsfVhreeLrpn32P/zFZs6fktau/vJFugud1XCV+/8PPKZZYHAAYhGRbmxAYhSDe0f73dXjscN702c/RvmMDA3hiiMy/ErobzpuCEcN682fzh7Lr17x3Wj3R8cP5ahhTbvUDA0OYuawZGYOS+aWWcOoq7fERoa0GLAKoF9cJGdN7N+iK0RfGvq8D6RP2ih9Bpj3dSaXzhjAgKRo4iPbfjISFhxEXCuNiuvrLc8s3N6YzDcor67jjRU7ApbQ+2qT4evmZFlWIbc8t7wxcX/qm+3ER4Zx6+zhzLtyOoszC0iMDuO4kSnER4YSHxnKdUcPOVDhNzLGkJoQybKsosZp/eIiCO2Bg5JJz9Cjq9wAWGsHefmnZF5E2i0hKowrjxzk9/LnTfFeL7k9Zo/pw89bqRIDcN7k/lw4LR1jDBdOG8DDl09h5rDeTZYZ3z+eu84dxxkTUlskmZ6SYsJJiYvwmsyDMwDS6eNbluR6jX10H8Z1gYR+uUfS50tlTT35pU6d8DH94jlscGKry188PZ2M3tE+55dV1fKtl25NwamGEygn+Sg1P2mM9+lrc0taPPF5dVkOlbV1HD08mZ+eOII5Rw5iYJLvY3GgXHlkBr1jnLEOYsND+Mns4fv9fRPpqnp8Cb0xJgr4KTDAWnudMWYYMMJa+2aAQxORbuj4kcm8uCS+zb7hjx+RzBFD2x64py3hIcFcM3MwQ5NjeGlpNu959AM+KT2eSw8byOzRfRtLlYODDCeO6csxw5NZm1tMTlElhWVVfLguj1++vAqAsalxXHbYQI4enkxqKz2c+DJzaG9uPGYI//1ss89l+sSF85MThh203mt2FFXw9ZY9bNhZQmhIEJPSE5iekUhsZChJMWFtb4B91YMiwoL50axhLNu+yGtvPknRoXxvanqr24oKD2HSgATeX9Oy3/bJAwM3euqJo/vw7ZY9LM8uoryqjj1l1Zw+vh+zR/fxunyKlydME9LiiegCVammZiTy5g+PYmt+Kem9okjzMb6ByKGgxyf0wOM4I8Qe4b7OBl4AlNCLSLv17xXF3y+YwB2vfuezBPaUMX254/RRJEV3vLqNp7CQIE4c05fjRqawMa+U0soaIkKCGdonxmevHuGhwVjgj2+tIXdv00GhvttRzO0vr2Jiejx//94EhqTEtiue8NBgbj5+CGmJkdz34cYmvZ0EGThrQn+uPWYwo/vFtbKVzrNmx15ufmZZi6pQp47rx51njubE0X34cG3r1W6OHJLE0JR9vfEcMaQ3866cxv8WbG1cN8jAOZP6M+eIjDarEgUHGS6ZMYAP1+5q0t4gPCSIMyf0973iAVZnLRPSE9hZXEmvqDCOGZHMaeP6khDl/VydMTiJ8yb356WlThWrhKhQrpo5qLG3m0DrGx9B3/iO9SIl0p2YgzGqXVdmjFlsrZ1qjFlmrZ3kTlthrZ1wsGOZOnWqXbx48cHerYi0Q3FFDbl7K6irtyREhfkswd5bUcPizALeW72TxZmFGGM4algSJ4zqw6QBCUSH+99DzYGwfU8ZFz/yDTlFla0ud9jgRB66fKpf9ca92V1SydJtRewpqyIsOIiRfeMYnRp30BK+ypo6rpm32GevNL88ZSSnju/HxQ9/TXah72Px0OVTvFY7qa6tZ8POEoqrakiMCmN4n1i/35u1ls837ObZRVks217IEYN7c+H0dA4bvP9PbvxRWF5NVkE5KbHh9I2PZG9FDbfMX9Y4UnCDu84dx8XTB/jcTll1LSuyiiiuqGFMajzpKgnvMYwxS6y1UwMdh6iEHqDaGBOJ0xAWY8wQoKr1VUSkp8kqKOfzjbt5/MtMNuU5g/BEhgZzxREDOWFUH6ZmNK1THR8ZyqxRfZg1qg81dfUY9q9HmwalVbVU19YRFRayX13+Ldi0p81kHuCbLQUs2VbA8SO9V7loS3JshM962QfDyuy9rXYx+dDnW4iLCOHOM8byr482sDKn6SBawUGG3581hlkjvXf5GRYSxNi0jrUDMMZwzIgUZg5LpqKmjuiw4IPWF/2Xm/L51Ssr2bangvjIUP5w1hiiw0NaJPMAf31vHbNGpvgcPTY6LIQjhvT2Oq+5ksoaispr6BUdSkyAb2pFDiVK6OFO4F0g3RjzNHAkMCeQAYlI17Jmx15+NH8Zm/KaVtmoqKnjwc+28MgXW/nreeM5Z3J/rwnZ/tYTr6+3LM8q5JP1u3l+cRblVXWkJkRw8YyBHDUsiSHJbVeJKa+uZXlWEdv2lBMdHsyT32T6vf+P1uR1OKEPtN0lrd+0FJRV89XmPby5Kpefzh7OjccOZVFmAZW19QxJjubwwUmM6hd3QBPt4CBDTPjB+znetbeSH81fxp5Sp/vNvRU1/Pi55fz85JFely8oq2F3SZXPhN5fG3aV8MuXVrJkexEzh/bmj2ePbbXhsIj4r8cn9Nba940xS4DDAAPcYq1tfcQQEekxcgrL+fH85S2SeU919ZZbX1xBfJRTKt+Zaurqmb9wO795fXWT3kTW7yrlztdXExcZwn8vncKRQ32XkH6yLo//fLKpsXvLk8b0YXMr76e5VTmtN/DtyhKiWm/wGhMeQkVNHdbC39/fwF/PH89vzhhzkKLzzlrLhl0lZBdWkN4rkuF9O7etwabdpY3JfIPWxg1IjgkjJW7/23u8tCSbJduLSIoOo7Sqlo/W7uLqo9SpnEhn6PHdVhpjXgdOBD611r6pZF5EPH25KZ8NbhWb1lgLj3yxhcqauk7d/3urd/J/r632ORhUcUUt1z+5hFXZRV7nv7Uyl2ueWNykr/qaOktIO/rj7uzRPOvrLetyi/l2yx6+y9lLVW3nHjNPE9ISWu0a89gRyXyxcd9l/18fbaSgLHCj19bW1fPE15mc9q8FXD1vMaf+awHzvsqktq5lbzodFRUW3DhwmKeismqOGtbyxvDnJ48kOXb/G5YWlVdz+OAkJg1IYE9ZFWt3lpBX3Ha1LxFpW49P6IG/A0cBa4wxLxhjzjfGqEm8iFBWVcOT32xvc7m+cRGcM6k/yTHhzPsqk3e+y2XX3v1PVIoravj3RxvbXK60qpZ3V+9sMX3DzmJ++vxy6poVv67K2cvkdgxcdOyI5LYX8tOSbQXc+vwKTv3XF1z48Dec/u8F3PTUUj7f0LLudmeIiQjht2eMpldUy/rao/rFUlpV26TryazCClb4uDk6GFbl7OW3r6+h1v3Maustv319dac+JdlTWsVpzUZ9nT4okS825RMeEsRvzxjNsSOSOX9yGo98fwpnT+qcXndOHZ9KakIEH67NI6uggheXZPPGyh2dsm2Rnk5Vbqz9DPjMGBMMHA9cCzwGHJz+1ESky9pdUt1qIhUabDh3chpZBeW8ujwHa+GNlbkAJMWEcd1Rgzlncn9SOli6uWx7Iet3tf10AGDul5lcMn0g/Xvt63Xny017vPaTvrukymtJrDfG0GIQqo76dsserpy7iPLqpiXyH63L49MNu/nPpZN9DmDUXG5RBUu3F1JSWUtcZCiTB/Ty2T3h1IxE7rtwEq8sz2FHUQXhIUH0jg0nu7DCayPQ0sra9r+5dti2p4zFmYWUVtUwuHcMkwYmNDYQ3ejjadDGvNJOGz12Y14pK7KLOHdyf2pq6wkJDmLz7lJW7yhm9Y5ibj5uaLsGSPPXMcOTea3ZCMI7O+HGV0SU0APg9nJzBnAhMBmYF9iIRKQrqG+lW9/gIMPF0wfw3KIsr0nzntJq7npnHQu3FnDXueM61KBwVzuqI5RV15FfWtWY0NfU1vP84iyfy6/OKebwIUl8vbn1UUl/csIwxqTu/2iuZVU13PX22hbJfIO6essvX17JxLQE+rTSb3hZVQ0vLM7hHx+up7hiX+LdKzqU204cwbmT+hPppe/9fgkRvL4ih8TocGrq6ikqr/G5j9iIA/fT+PHaXfzw2WWUeRyHE0al8Lszx9K/VyR9fNz8+ZreEbERoUxMT6C2zhIUZCgsr2alOxBakHGq5Bwox41M4WU3qTcGpmW0PuKuiPinx1e5McY8B6zFKZ1/ABhirf1hYKMSka4gISqscej45k4e05eXl+Z4TeY9fbQujye+3tah/QcHte8S7dmZTmVNHfmt1AVfv6uEmtp6ThiVgrcOXEKDDT8/eQRXzxzktb51ey3L2svyNkbPLSir4Zutvm8wauvqefjzrdz5xuomyTxAYVkNd7zyHfO+3oa38VWGJMdw5vj+7C6pajWZz0iKYkJ6QutvpoM255Vy0zNLmyTzAB+uzePZRU7VrskDEzhjQtPqMGdNTGXywPbHtKOogrdX5fLGihy27dnXCLpXVCjvrNrJ6yt28NryHWzcVcqJ7kiwZ05IbfdAYu1xyti+PDZnKr85YzRPXjWd0OAgfvTsUu54ZRVLtxe2vQER8Uol9M5IsZdYaw9cqywR6ZYSo8O45qjB3P3OuhbzwkODKK3yr2rG/xZs4bwpaQxqZxd9w/rEYAw+G8R6GpIcQ1qvfQP6hIcGER8Zwu4S38NqLN5WSL94p/6/rQeMJSw4iNGpcRw+uDfD+3ZeYrezqMKv5b7dUuAm1S2rl3y3o5h/fdx6m4K/vreeo4f1ZnSzpwpBQYbvTU3jjZU7Guune/OjWcPo1UbPOB21cGsBlTXebwAfW7CVS6cPoF9CJL8/cywnj+nL9oJyBiZFcfjg3sRGtK/P9q8353PTM0spLHNuXqLCgrnvokkcM7w3T327nWqPRrY5RRVMy0hkeEoMNx47pFNu4HwJCQ5q7AJ1RVYR5/33q8bP44M1O3n95qM0sqtIB/T4Enpr7bvADGPMJcaY7zf8C3RcItI1HD2sNxGhTS+VkwcksDjT/9LEypp6Fm4taPe+R/eL49Sx/dpeEJhzREaTLhrDQoK5cKrv0T0b5O6t5OWlOcRFhvDPCydxz/kTuOKIQZ2azAOEhvj3c1NaVcvljy1kmZfS2q8357d5c1NXb31WIzpiaG8euHRSi88TnKomvz5tFKeN9+94d0Rx5b4nA8bA4UOSOGN8P4YkR1NeXUdxlTO/V3QYp41P5cZjh3LquFR6RbfvBmNPaRW3vrCiMZkHKK+u48fzl7F9Tznrd5a0WCcmIpgnrp7OiE7uIrM1G3eVNLm5yiupZmu+f21GRKSpHl9Cb4x5EhgCLAcaSukt8ESgYhKRrmN0ajz3XzKJm55a1liq2Tc+guVZRe3aTn5p+wegDgkO4tqjBvHFpt0tqph4mj6oFyeMbjmS6ZFDkwgJMq2WSDeYPfrADhw1NjWe8JCgNqsohQQbiitqufuddcy9ahqRoft+pjbv9q/v/B2tPA04aUw/3v5RLF9v3sPibQXU1FnGpsZz5NAkxqTGE3QAS6cHJDpPUIIMXHbYQN5fvYuvN+9h8oBeXDQtkb6dVE9+TW4xO7yMAlxWXcfm/DLOnJDK3K8ym8ybOjCRvvGRLdbxpb7e8un6PD5al0dMRAinjOnHxAEJ7YozIzm6yROouMgQBiS2/RSrvt5SUFZFRGgIMR7tHXburWBjXinxkaGMT2tfLCLdXY9P6IGpwGjrrdKliAhwwqi+zLtqOs98u403V+VSV+80iq2v8/+yEdzBkUYnDujF3DnT+fVrq1izo2XJ6jkT+/Pj2cPo5yUZG50azz3njee2F1e0WrL9s5OGM2NwUofi89eQlBiuPXow93+8yecyRwxJYonbX/63WwtYvn0vhw/ZF1dMuH+NNcPb6Dd/cHIMg5NjuPSwgX5tr7NMH5TIhLR4EqLCeGtlLnvcNg5LtxcyPCWa+E6q6hPSyk2JwXmak1dSydurdhIeEsRNxw5h1qiWN4StWbApn6ufWNx4Xs1fuJ1XbjqSwckxfm9jcnovHrhkMo8t2EJCVBhXzxzUpJcmb6pq6nh0wVYe+GQTab2iuPu8cUwa0Itte8q4+emlrNpRTHCQ4b4LJ3L6hNR2vSeR7kwJPXwH9AVyAx2IiHRdhw9JYvqgRK45ajC5eysorazhyzZ6iPE0sHdU2wv5MHlgL56/7ggWbytgVbYzEFN8ZChTMxIZ2z+e0GDf1VnOmdSfmPAQ/vbBejY26wKzX3wEP509nDMnpLa6jeZKq2pYuq2IrbtLqcfph39qRq82Bx+64vAM1u4o5qN1eS3mjU+LJyw4iG17yhunrc0tbpLQTx7Qi7lftd3AuKuWzibFhPP3Cybw3uqdfNas3/22Ggy3x5jUeEb2jWVds6o1yTFhTHB7Ebrvokn8+IQyIkKCGJDUvrYdAIsyC5rcJO6tqGVFdlG7EvqgIMOp4/px8pi+GAPGj5veb7cW8Jf31gNOw+4/vbWG+dcdzleb81m1oxhwql3d/e46Zo1K8drjkcihSGc69MYZVGoh0PhM3Fp7ZuBCEpGuKDjIMCE9gQnpCdTUWb8T+rSESGZk7EtMt+8pI3NPGTV1loSoUEanxjWpWuJNTEQIx45I4dgR7StJDQoynDS2L4cPSWJxZgHbCpyEuW98BNMyEukdE96u7X2yLo9/fLChRf/8KbHh3HricM6a0J8IH90eJseGkxQTyrmT+1NVU09heTVxkaFEhgazeXcpnzZLcmuajY46Y1AS/RMiyPFSnaTBkORopndCV4iVNXWUVta0qNaxv4amxJISE87ry3NZv2tfwn1GJ9bdj4sM5S/nj+f2l1c2PtXJSIrinvPHN3YJGhocxPA+HW8nER/ZspGut2n+aE81p4rqplXPdpVUUVtvCWnWI1REaBBBHXwqJtIdKaGHOwMdgIh0PzMGJzJpQALLthe1uexPTxxOYkwYq3fs5e1Vucz9MrNJ14UzBiVyyYwBnDAqhejwUKpq61iVvZcvN+WzeXcpIUFBjOwXyxFDejO6X1yH6nnHRYZy/Kj9qyf/3uqd3PT00hYjzwLklVTxi5dWkVdcxfXHDKGgrIpNeaXU1Vt6x4Yzsm8cwUGGXlHhPPT5FkKDDbERoZQ1G6nVU3Js05uNPvER/PviyVz/1BKvvff0T4jgHxdMJNFHV6P+2FVcyWfr83hmYRYbd5UQHxXK5YdlcPzI5E5rMBoXFcbfvjee/32xlcXbCjl/ShrnT03vlG03GJ+WwHPXHc7qHcXU11tGpcZ1au89x49M4aUl2ax1nwKcM6k/0wZ27EYqu7CchVsL2FNWxZDkGKZlJPrs1WfSgF4cOSSJLzfvIcjArbNHEBEazDHDkzlpdB/eW7OLmPAQfnvGmDarXokcSoyqjncdU6dOtYsXLw50GCI93pbdpazIKqK0qo6wEMPIvnGM7R/foju/DbtKuO35FaxsZTTZX506iiuOGMjKrL1c9+RiClvpA33OERlcPC2d+z7eyNurdraYH2Scais3Hjekw6PPdtT2PWWcfN8XPgeG8vSb00fx7082NfayYoxTAn3R9AGA5ZJHFra5jdjwEN798dFe61Rvyivhsw27eeLrbewuqaJfXASXHT6QY4Ynt6vKR3M5heX8/MWVXp+8JEWH8sj3pzF5YOeM1gpO486q2rpuWy0kv7SKVdlFRIQGMyE9gagOvI/vcvZy/ZOLmzx1OWdSf35z+mifvfvsLqli3c5i4iJCGZ8W31hVp6SihqyiCuIiQpp04SoHjjFmibV2aqDjkB6c0BtjFlhrZxpjSnB6tWmcBVhr7cHru8ulhF4ksDbllfDcoiye+Hpbk1LjhoT0+4dnMLVZdY6cwgq+2LibeV9nsjbXKa0MDTZcMDWdk8f25fDBSWwrKOeih79ptU94gKOG9WZvRTUrs4tbXe7MCan87qwxB6y/dG/mL9zO7S+v8mvZ2aP78O3WPS165gkNNvz74km8tTKXN1a23mzpt2eM5sojB7W6TFlVLeXVtUSHh3QomWzunnfX8d9PN/ucn5EUxVNXTyfNj55YOktVTR0rs/eyq7iSwcnRjOoX51dd8+6gvt5y6wsreMUdObZffASHD0miuraeqQN7cebEVBKj21clTA4uJfRdR/csFugE1tqZ7v8Hbkg8Eek21u8s5sanlrIlv2XXiNbC6yty+WBNHo98fwozhyU3zuvfK5KLpg/gtPH9yC6ooLa+ntiIUDI8BpFasDG/zWQ+OMiQFB3OFxvz24z19RU7OG5kMudMSmvHO9w/H3tpyOrL5xt2c+yIZN5bvavJ9Jo6yy3zl/PMtTMor6njo7Xet/nD44ZywdS231t0eAjR4Z3zM7Y1v4zHv9za6jKZe8qZvyib644aTFxUx+qLt0dpVQ1/e29DYxeTwUGGu88dx/c6uXpOoOwqruT1FTsAp2H1tIxEXl7qJPdvrszlrVW5/OOCCaQfxBsoke6qxyb0IiINSqtq+M1rq70m854qauq46ZmlvHLTkQxpVrUjNiKUUaktk7yi8moe+3JLmzEcNbQ3X2zc3eZyDeYvyuKUsf2IOEj1hHe3ox/9qtp6wnz0mlNVW893OcX844KJLNxawDurctleUMbY/gmEhzij247sF4cfXed3qq35ZT5HcfWUuaeMLzfnc8q4AzcAVYNvtxQ06S++rt7y61e/Y/KAXgxJ6XjVoq4iPDSImPAQ9lbUcMTQpMZkvsGizELeW72La44aHKAInWP+3uqdfLkpn77xEZw9sT/piarOI11Pjx8pVkRk6bYivvVzJNfiilq+2uR/d5X5pdVs2+N7oKMGcZGhjf2S++PbLQVsyjt4o2oOaEed5NjwkCaNfpt7eVk2cREhzB7dh5uOG0JKXARzv8rkoc+38Jf3NnDV3MVc8NDXfL257acVncXfSiwGeGvVwenlOHNPyxvMqtp6sgrLvSzdPVTV1FFV45wbidHh3HjsEABqfDSMXtCOm9wD4bP1edz09FKe/nY7f39/A3e/s46q2rbbkYgcbCqhF5Ee77P1/lcnAZj7VabTv7sf3Rn6204prgNdI5ZV+x49tqOKyqtZnFnIlvxSrHV6mpk+KJETRqfwmls9oi1HD0/mw7W7fM4vLKuhuq6evOIqbnl2OatzW7YZWJtbwpVzF/HkVTOYNmj/u6Fsy9CUGKLDglu9EQEIDQliybZCqmrrCA85sE9H0hJa3kSFBhv6xR/cBtGdob7e8s53O7n/402Ehwbxw+OHMmtUH743JY29FTXs2uu9K9IhKYGtFevZtSjAh2t3sbe8hpQ49aAjXYsSehHp8VrrpcabzbtLKSqv9iuhT4wJIyU2jLwS76XvRw5Nok9cBLUdqGMS2YkJZX295f01O/nru+vZ3KzqUUx4CDceM4Sjh/Xm8zbq+AcHGSJCg3x2RQkwMDGK8JBgPl2/22sy36Cypp65X2UyaUACIR5VeJzGsHVEhgb7/AxyiyrIL60iJDiIAYmRRIe3Xuc9PTGK644ewj8/3OBzmaEpMWTml9EnLtxnlaLOdNiQJM6Z1L+x0Sg4vSZ1VveZB9PKnL3c/OzSxsGobnp6KW/96CiGpsTwi5NHsmbHXrbtKWfJ9sLGdSJCgzh1XN8ARexIb/ZkasrAXsRGKnWSrkdnpYj0eO0dgMYY/K6jkRQdztUzB3PXO+tazDtlbF825pXy5aY9nDAqhbjIkBY9w/gyKT2e4GB49tvtlFfXEhYSzKjUWMb1j+9QyfGry3K49cUVeHugUFpVy1/fX8/5U/ozZUA8S7Z7vwEyBi6elt4kAfXm7En9Ka2sZZ5H/XBf3v4ulxt3DmFs/3g25ZXw+YbdPPnNdnburSQxOpTLDsvgmOG9GZ0aD8DqHXt5Z1Uuj3v09T8xLZ5LDxvICaP7tNoz0MXT01mRVcjH61tW8+gbF8GEtHheWprD3eeOOyg9zcRHhvL7s8Zw1sRUdhVXMjQlhglddBTctmQVlDU5t6pq68kuLGeo2xZgdGo8/7xoAp9v2M32PeWEhwRz5JAkpnSwb/vOcsKoPvz+rDG8vDSHocnRXHv0kDYHgRMJBJ2VItLjTUxP8LsOPcDofnH0akcvJ0cPT+a+jzY26cN98oBeZO4pa6wH/9mG3Zwytl9jrx9tmTE4iTPv/6rFIE+zRqZwzVGDOHxIb7/jW5u7l5+/tNJrMu/pxSU5/OGsMQzvG8cLi7ObPFU4dnhvjh6ewr0fbWi12kr/hAgOH5xISVUNW/LbbgNgLewprWJxZgHXP7mYPWX7+vHPKarjnnfX8e+Pg3nwsilEhQZz9ROL2Nvspmh59l6Wv7iScyb15/9OH+WzK8SUuAh+d9YYBn+9jVXZe8kqKCc+KpSRfeMoqazhpaU5jOoby1HD/D+2+ys2IrTdowN3RSP6xhERGtTY8DgpOpRhzUaqraiuY/PuMh7/MhOAhZkF/DslhpS4wFUxiggL5vuHZ/D9wzMCFoOIP5TQi0iPd+yIFB76vO2eaBpcftjANqtweBrVL47/XDqZ659c0lgVJaN3VJNePWrqLKVVtWQkRZG5p/VGj5MHJLBwa4HXEVs/WpfHgk35/PeyKRw/0r9E8MuNe/yu8vP2qlwemzONK47IIDO/jHpr6RMXwdjUeMqr61i3s5jnF2d7XTclLpz7L5lMaq8oCsqqiInw74lEsDHc+PTSJsm8p/LqOm54aglnTUxtkcx7emVZDqNT47jW7TVl464SlmwrpLC8mvCQYMb2j2NCWgJzjsjgia8yqa2zFFfWND5xOHF0H247cQT9NWhRuw3vE8u8K6fz1qpcwoKDOH1CP/onOIOGVdfWM++rTL7bUcRry/c1OP52awGrcvYyK4AJvUh3oYReRHq8SekJzBqV4rNfdE994sI5YmhSu/dx7IgUnrx6Os9+m8WXm733S//xujxOHdeXuMhQVmZ7r9ZyzPBk6uotCzb5rsteVVvPzc8s5ZWbjmizvnVVTR3PLtru9/v4eksBm/LKGJcWz8hm2w4PDebXp43m6GHJvLQ0m0/cqispseFce9RgjhuZzFC3kWNidDiXzRjIf1oZyAlgRJ8YMgvK2+zHv7y6jorqeoKDjNcbnQb//XQTxw5P5uVlOTz6xVaq65rW9T92eG9uO2kkt58yitW5xazPLaYeGJwc3eHqTJ6qauqot7bbjg7bXut3FrO7pIqRfeOYMTiJGYNbfneWZxXyp7fXcvLYvkSGBlNRs+8JT2SYGp+K+KNnXFFERFoREeYkovklVazwkUgD9IoK5YFLJjOggwPdTB+UxNSBiazfWczV87yPCv32qp2M7hfHuZP7U15dx869lQQZw8T0eMb0j+e+DzeyvaDtbgvLq+v4YmN+mwl9RU0dheXeS759b9t3KXhcZCinT0hl9pg+7NxbSV29pVdUGL2iW9Zdnz26D48u2NpqA9pbTxzOowsy/Ypr8bYCJqQlsNSjYWVzqQmR/O399S0GvWrw6YZ81uQuYu6V0xjXP55x/eP92jfA3vJqFmUWsnrHXmrrLRlJ0Rw2OIn+vSLZW1HDGyt28NQ3Tt3+i6YN4OyJ/enfK9Lv7QMUlVVTXVdP75hwgoIObD3+rIJyPlq7i635ZQzrE8uskSn0S/A/3q8353Pl3EVU1tRzzLDe/OPCiSTFtKzutM19IvXR2l1cMmMgLy/Jprymjp+cMIwpA3t12vsROZQpoRcRAQb1jub+SybxxopcHlmwhUKP6h3hIUFcOmMA505KY2ya/wmeN0FBhoG9W78hWJNbzJrcYiJCg+gdE059veWIYwfxwuIcv5L5Bv9bsJXzJqd5TaYbRIYFEx8ZQkE7+sD3p9Q0PCSYgUmtv89JA3rx4GVTuOnppU1KZRvcfspIxvePJ6+N0vkGReU1DE1ufcCl4X1iWwxg1FxeSRWPfZnJX88f73fj1zU79vKLl1ayKqdprz1xESH888KJrM0t5m/v7+tB56/vrWdldhH3XTiJCD+O57Y9Zby6LId5X2+jrKqWU8f248Lp6RzmpcS7MxSWVXPr8ytYmLmvbclno1K47+JJRPn5dOHrzXsa68x/tjGfjXmlXhP6wcnOeVJTZ3n6m20cOyKZCekJXHf0EMJCNFyOiD+U0IuIuNITo7npuKGcOzmNldlFlFU5vceM6Bvb2BtHZ4gKC2HG4KQ2e4OprKknu9AZlKp3bCTLs4vatZ+deyspKK9uNaEPDwnmwqkDuPvdlr3weDNtYK8Wx6K2rp6SqlqCDMRFhLarB5jjRqbw5g9nsmBTPl9s3E11bT2zRqUwKT2B0anxvLlyB8mx4WxtYxRfcKr2tDY415DkGDb7ORjXK8tyuOrIjMbec1qzo6iCH81fxqa8ljEWV9Zy41NLOXdy/xbz3lu9i5U5e5neRj/7uXsruOXZZSz3eHr0yvIc3v4ul7lXTmtXA2h/LcsqapLMA3ywNo9V2Xu9VpvxxnNE1bjIEJJjvTdGnpCWwB/PHsMf31pLZU09u0uqOH5kipJ5kXZQQi8i0kzf+Aj6xh/Y/q9PHde3zYS+wQmjUshIOnANMWcO603w+63XPW9w8YwBjSW0e0qr+HrzHl5dnsPibYUEG8Ps0X04eUxfpg9O9Lskd0hKDIN6RzN5QAJfbMzn2YXb+d+CrQzqHc2AXlGM7x/PQj96IZo4IKHV0vdR/WJ5c6V/o7zW1Vs25JX6ldB/vXmP12S+QXVdPXklVSREhVLUrHpTQanz9GFVdhFfbylgV3ElKbHhHD4kifFuF5ULNuY3SeYbVNU6/fRPzUgktJP7xa+oruWwwYkkx4QTFhLE5xuddh8VbQy85enU8f0ICjLsKKrgiMFJDPHx9CQkOIjLDsvg6GHJFJXXMDg5ptUxHmrq6vlw7S5W5xSTlhjJaWP7ERvpfyN1kUOREnoR6VaKK2pYsq2Qj9buYllWEUHG6QLy+FF9mDKgl1+DPXUF0zISOXxwIl9vaT1RDTJw2WEDiY8MZWJ6gs+63970i48gsZV+1xuMSY3jT2eP5faXV7W63HmT+zNrVB8AMvPLuOOVVXy5eU+TZeYvymL+oiy+f9hAfnLi8Fb7fW9QWVPHswu384c31+B5T5FV4DydOHVcXwYmRTXWtfYmJTac6E5uQFlX5/sGp6C0mtziCoKNYYUfT04+37CbE8f04e1VOxunhQYbhqRE88aKHfzkueVNehoKDjL844IJnDWxP8u2+97+e6t3kVtUyYBOvuEbkhJNZXUdb7g3QJfOGMCXG/MZner/oFbRYSGcNzmNbXvKKCyvIb+0it5eqtw0GJAUzQA/Cv8/XreLG59a2vi6tLKWa9yei0R6qu7xyyciAnyXs5dfvryKVc1Gdl2VU8y8r7cxbWAv/nD2WEb26/ojaSZEhfHHc8bxixdXsnib90acIUGGv54/gWOGJ2OM4cwJqe1K6K85alCr1W0aGGM4f0oa0eEh3PXOWnYUVTaZHxEaxA3HDOH7hzs3FmVVNfzhrTUtknlPT3yzjeS4cH54/LA29//a8hx+98Yan/PfXrWTC6emYSxkemlD0CcunD+cNZbKGqchsK9uP4cmx5AYHeZ3e4Hk2JbHbndJFW+u3MEjX2xpPE4T0+K5eHo6n67fTe7eyhbrANTWW0KbNWL95SkjqbPw0+eXt+g2tK7ecuvzKxiWEkN4aMvS9ykDezEgMYqaunpeWppNRU0tYSFBzBrZh0kD9r8haVlVXZOnAt/l7OWByya3q0/4wrJq5n6dyYOfbqaqtp6+8RH86pSRnD4+db8a9K7NLWny+tP1u5XQS4+nhF5EuoW1uXu5Zt4idhb7biC5aFsh1z+1hP99f2qLQWu6oiHJMdx/ySS+2JjPk99sa+yqMjI0mCuOGMgJo/owNWNf/eoZg5MYnBzNlt1t1yePCgvmqKH+160OCQ7ijAmpHDE0iYVbCtiSX0Z9vSU5NpwZgxIZ5FFdYun2Ir+6+Hzgk02cPq5fk3Wb21FUwZ/fbrv+/nOLs7np2CHsKq4kp6iC3SXV9IoKZcrAXkSEBnHT00uprbccNyKFyQN7sWxbIZkF5YQGBXHa+L7EhIfw6vIcjh6WzKvL267qNKpfbIvEeHdJFb9+ZRXvrWl6U7U8ey/Ls/dy/pQ0PlmX57Uef3JMGFccMYgx/ROoqatnYnoC0wcl8vS326jx8SSgtt7yzZY9TM9IbBxsCeB7U9JYur2QJR43gg19u//8xRX8/qyx+12vvnd0OPGRIY39+k/NSGSMH9WPPL20NJv7PtzY+Hrn3kpueW45idFhzByW3OHYBiQ2fRoxZWBCh7d1KLDWsiizgCXbCgkNDuLwwUmMaUfvTHJoUEIvIl1eXb3l4c+2tprMN9i2p5wnvt7G9ccMZnlWEaWVTsnliD6xjOoXd8C7+muvvvGRfG9qOqeM68eOogpq6y0JkaGkeukesHdMOP+8YCLXPrG41Z5fwkOCeOCSyQxvo8tKb5KiwzllXL9Wl/mylT7wPVXW1LMws7DVhP7brXvYW+Fft5mPfbmV40aksDW/jMToMKpq68kvreIlj3rzn6x3bjQmpidwamo8hw1OpE9cONc96VTRGNs/3mtd9uZuPm4osRGhFJZX813OXsqr68jML2uRzHt6cUk250zq77VtxDVHDWbywF5MbtYNY2EbTwsKymo4f0o6509J48Ul2cwalcLnG3ezq9l3obqunpeX5nDRtHQe+zKTKQMTCQsJIq+4kjU7iokKD2Fs/zi/2zUM7B3No1dM46N1u0iIDOPMCaltrrN+ZwmPLdhCXGQoF05N58HPWo4xYK1Tor4/Cf3JY/tSUV3HFxt3MyY1ngumpTeZX1ldx5rcYoxxRnUODz20+7J/97ud/OCZpY3V1SJCg5h75fQD1gOSdE1K6EWky1uzYy+vrfCvASnA/EXbKa+ubZLoBRk4e1J/Lpk+oEmpd1cREx7CcD+eKkxIT2DuldN48pvtvLA4q0VVjRNH9+GqmYMO6I/5Vj+eEDTIL239Jmxbvv/dcFbW1BMSZCgqr2HGoCTCQ4J4YYn3UWmXZxWxPKuIt1blcuMxQxqnv7Uql0umD+Cd73Z6rXpjDPzuzDEcMTSJZ7/dxoOfb2bbngompMVTWtX2qLZ19bbF4Faj+8Xx/+3ddXhc17Xw4d8eEDMzWgbJlklmDjvgYBtwsEkDbZLe9utt097eW7hlvG2TBhpqmNNwHLQTO2ZG2RZZzExD5/tjxmONNEKLRlrv8+jxzJk9Z/aMjsbr7LP22hdmuZ9kHRXYdwpLdJA3Qb5GfnLJDFZmRHCotLHPqyNfHK8mOdyfmpZOyhra+dbze5wnfxdmRvOzy7OIDR5YLfmclLBB/a28f6iclx2rBCeE+va6vkFflYgGws/LwPrFyaxfnNzjsZZOM7967ygv7igG4NYlKfxw7bQJu5BXc4eZP3503GXuSYfZxgvbTrEoNWxQFaeEZ5uYR7gQwqM1d5gxWzX8vfR4G/XsPtXAAAqwOJmtWo80BpsGb+wp5f2D5Tx2Uw4rpw59hHCsZcYF8+srZ3LL0mT2FzfQarLirdcxIy6IWfHBw17xpLvBVBTxMvQdUGgM4hcLXJAVzYKUMI5VNvHC9uIBPeejIxXMTQxhb3EDmgbPbz/FhVnR+HsbOFzaRHlTO/5eBpalR3DDokQyogL408cnePqrQuc+EsP8BlQhp7alk2BfI3WtJrwNOq6cF8+dK9JI6WXtgSXp4fh56WlzUz3Gx2hPnwD7nIt1c+LZ3k+1n7LGDpZNCUen4FfvHXG5krPhSCVL0sO5dVlqv++jq/yaFkxmG+lRAS7HVm5FM6/uKubLk9WcMz2a6KAzE14TQv24ZFYMb+/v+ZktGMRJQnVzJ1tO1lBU20pssC/LMsKJD3FNudlf3MBHRyo4UNzI4rQwZzAP8PTWQtbOihlwqU1P09huJq+6ZynWfSUNmKy2s17ZWHgOCeiFEONCS6eZPUUNbDhcwUdHKuk0W4kO8uH6hUnU9jPK646muQ8UO8w27nluN6/fs9QjJs/2RinF9Jggpg8hreZsLUwN47VeRsa7mxkX0ufjAx0tBntVmOQwf57acogO88BPBPKqW7l8Thx7ixuc205PLp4RG8ichBDaTFb8vHTMSw7j3QNlLsE82E8SvfQ6TNbeV7UFex3+c6ZF0mGxoWkQ5G2ktKGdmGAft+kuaZEBzsW1ul4B8PPS89AN85jS7arNQAZc5yeHUtbQwfHKnoHetoLaAQf0LZ1mHvsin4c35mG2aqybHccPL5pGfKgf9W0mvvfKPg6X2RfSyq1o4bLZsTx20zwCfIwsSg0nPMCLrfl1VHc5qViZEcE50wd2Ml3d3Mn3X93PpuPVzm0zYgN5eP185wnSlpM13P6vnc4FrNxNAu9tjsJEEBXow7nTo/j0mOtVm4tnxUgwP8lIQC+EGHPFda388r1jbDhc4bK9qaOFX7x7hEv7yel2p6//wltNVjYdr/bogH4sLU0LJ9DbQHM/KShL0sKYmxTSZ5vFaeH4GvVuV4rt7tqcRKKDvQnyMXKyqmEQPQZbL5d4jpY3cxR71ZQ7V6bRabby2q6eI/9b82tYOTWCT/qZDOzrree1Lqlel2bHctMTO1i/KIkfXTydAO+eVzdWTo3kvfuXs72gjurmDiICvFmUGu52VH9uYijPbTvV6+snh/nx2u5SDpYe4fI5cewoqHOp+pMRNfDJ4l8er+Fvn5503n97fxnTYwL51popHClrcgbzp208Vs3X5yditWkU1rYyJzGUV+5awlcna6hp7SQtIoCl6eFuV4t1Z/PJapdgHuy/r0+PVXL78jTazRb+9ukJZzAPUNrQTlZckLNvq6dFMussV3cez7wMOu47ZwrHK5spdixCNy8phGvmJ4xxz8Rok4BeCDGmqpo6+K83D/PFiepe2xiHsGJkf6tMPrE5n6vnJ/RZF1u4lxDmx1+um809z+3pdfQz3N/Ijy6egU8/ExJTIvz57vkZ/Va68TbouGJuPP7eRkL8vAadVtRb+c4wfy9WZEQQ5GOkqrmTT49Wuc39bmq3EOrvhVGven3PiWG+LqPRgLOfz28/xXkzolgzPdrtc5PD/UkOd5+W09WS9HDSI/3J62Uew7IpEbywwx7wv7KrhKvmxTsD+qggb9bOHPiCaSfdpHJsPlnDNfMS8NIrDDrlnMOREOrL4rRwbv/XLkeqh44frZ3ODYvc57oPRGEvqwMfKm2kqd3MhsMVRAV6c/W8eDafrKGyqZPdRfUsSAnl8jlxLEwN46KsGIIn+KJTc5JCeeNbSzlY2ohRryM7IWTCv2fRkwT0Qogx9dmxqj6DebCXNowP8aW0oX1A+5wSFcAJN+kGXVU1m6hu6nuhG9G782bE8NStC3j8y3w2Hj9T9UavU1w1N55blqYwc4Cl865fkERti4lHv8h3+7ifl56H1s9zTtBclBpGQ7uZjbl9HzcAEQFerJgSSVyID+sXJdFmslJc18auonrOmR6FTsG7B8pdJrFOiQrgpsXJvLq72GX09539ZVy/MInXd5fQ2i3nPTXCn+yEYN7aV+bc5mvU09HlykNv9fEHIy7El79fP5efv3uE7V0WJfP30nPF3Pgen0lskA8/vngG/l56lqSHk9ZHxaHuupeHBEiL8GfNnzbhbVTcvSqNF3cUU9tqYlG3NKxOi42fvXOE9MgAVgxxvkp0kPt0rKzYYP788XGXtKj1i5J4ead9kvjOwnqgnvWLkgZ8NcDTRQb6cM70ga8RICYeCeiFEGOmpcPCv7YW9ttue0EdNy5K4rntvacadLU4NWxAbW2DnJApXC3PiGRBShgHSxspb2zHx6jHYrWhaYralk7qWk2EDWBhq0BfI987fyrLp0Tw0ZFK3txbSrvZSmyQN7cuS2X5lAiX9Kgl6eEc6pbu4c7C1DBCfI28tb8U274z21PC/fj5ukz+vbeUvcWNPZ53sqqFotpWrs1JdDmOOsw2XtxxinNnRONr1GPTNHyNesxWGyX17S7BvEGn+FpOAi/vPJO+kxA68PkCfcmMC+apWxewr7iBkjr7556dEMQfPzre46Q3PSqAq+b1nX5R1dTByaoWgv2MTI8JQu8o7boyI5LrFyY6J5nOTQqhoqmDVpOFVhM8+Hkev7lqFkW1bZgs7lOm9pc0DDmgX54RwZQof05WnRmpD/M3khEdwK8+OArYf5dZccEU1rSybEqEM0UnKy6IzNiJm2ojRHcS0AshxsyxiqYeqz725tNjVc5a3L1RCq5bkMgHhyp6bXNagLeB2pZONhwqx8eoZ3pMENHBE2eEq9UxyXhXUR0N7WaiAr1ZnBbBrPjgftORBsPbqGd+cigbcy389dPj7OsSICeG+vKd8zK4LDuu31rg3kY9K6ZGsmJqJN85LwOL1Ya/t4FAn56pAykRAXw9J4GCmla+6mW12tQIf4x6xUdu6sYX1rbx+w9zuXBmjNuAHuwTKXcW1rvkY5/e/uGhCtIi/Ll5STKN7Wbq28ykRugw6nV8lVfD5XPiSY/05x+OFVIBLsuOZWHq8FVa8fMysDQ9As5U5OTWpSlsPlnjrLF/7vQoVnSr976zoI69xfXEhfhy3vRodhbV8f9e2UdVswmdsu/j/nMzCPHzItTfi5+vm8n1C5PotFjZnl/HHz867rI/peCBtdP5x+cncae/lKu+JIX58dhNOXx8pJIDJY1MjQ7g/Mxo2s32CceLUsPQ6xTvHyonIyqAC7Ni2HS8mmBfAz+9LIsAHwlxxOQhR7sQYsy0dvY/EfK08sYONuVWc9vSZOrbzLy9v8xZylKvU1w6KxZvo54PDlX0u2gQwDnTIvnmM7udAVd4gBd3LE/j/Mwopgxi4uB4VFrfxi/eOeJmEaTj3L48hfvOsQdsw+XjI5Xc/dzuHqVFi+vb+f6rB6hvM3PH8tQB18QeSBrU7MRQfrEui999mMvHR3sG7XOTQnhjT+9rF7SarLR2WgjwNvRaXz63spkr5sT3mPw5PzkUf28DP3vniMv2lHA//nhNNs2dFqZEBfCnr8+mrL6dhDBfFqWGj3hec05KGO/cu5yDpY34e+uZlxjqUmJ0f3EDNz253ZlG9OsrZ/Knj49T22KvC2/T4MkthcyMD3aO6nsZ7DnZgNuqOamOibtL0sN7VAHyMerOej2EtMgA7lrlmibU2mlm+ZRwIgN9nIt4Ha9sYVZ8O7+/ehYLUsOd/RJispCAXggxZvqrUd5ddUsn+4obee2epdy5Mo3qZhNKaUQF+hAV6M01j2wdUDBv0CkMBp0zmAeobTHxuw+P8fz2Qh66YR6zE0P72MP41Wm28tsPjvW6oukTmwsJ8/Pi2+dkDMvr1bR08rN3Dve5TsBvPzjGsvRwMuOGNwViSnQgf/76bHYW1fHewXI+PlKJ2aKREuE3oFSfjbnVrJ4W1aO6UlcWm2uZSh+jjpRwP5dFy04rrG3jr5+dJC7Yl635R1gzLZKfXpbVaw36kZAY5keim9x3gIKaFpc5AfuLG2hu73kys/dUg9s0nQsyYzhe2cxz207hZ9TzwNrpzEuy/53MTQrln7fk8MjGk+w51cDC1DDuXpU+4HkUg+HvbeRXV87i2W1FLts7LTa+viBp2F9PCE8gAb0QYsxMiQogKtCLquaBrxx50cwY9DrlNjj809dnc+tTO2h0E6ScphRctzCJN/a4T90pqe/g3hf28a9vLBjUBMLxYn9JA+/0swDSg5/ncensuAFVVenPrsI6yho6+mxjtWlsy68d9oAe7Pn350yPZvXUKBovNmOxaQT46PnbJ+5TQLrqtNjw0vd9UpkVG0Rzh5nShg5Swv24Ym48P3jtQK/ti2rbmJ9sD3I/z61GqcM8eMM8tzXoR1tqRADeXU5kp8cGYXaTwhYR6P4KSWSgNz+7LItvLEvF26AjJtiX5g4zOwvrsNo0suODefq2hTS2mwn2NfabZnU2ksP9uWpuPO/uL6OiqRNvg46vSalGMYmN/TeMEGLSigz04fblafzmg75LFp6mU/ayfL2ZmxTKs99YxMOb8tzm0adHBrAkPZy395e6XZnztOL6NjbmVnlkQL/3VEO/bdrNVvYVNwxLQF/R1Hcwf1ppP0H/2dLplEtpysjA/kfow/29aGzv/YqOl17HeZnR3LNmCjabhk6n2HKyps9jB8DU5crPZ8eq2VfcYM93H2OzE0N49vaF7D3VQGyIL2umRZBX3cpzXUa6V2REkBjiyzv7y5gZF0Rqt78BpZTzuKlu7uS/3jzAR0fstfnnJ4fw56/PGZbjaiAy44J58ZuLya9pJSbYh6wROGEUwlNIQC+EGFPnzYjmuW1FzkVR+nLXqnQy+1kMKjsxhL9fP5dDpU3sOVVPS6cFBZQ0tHO0vMkleOnLE5sLuWJOAmEBw5drPhra+wk2T+sYwEJOA+GtH9gorK9x+CbiDsTitHB0ij5TgZZNieC9g71fzbhpSTIZjpVaq5s7+Sq/hoJe6r93pes2V+BwWeOoBPRVTR3sc6yGOycxhKignpO8F6aGu0zO/d75GWQnBLG7qIEZsUG8tquY7726H7CX3XzwhrmcO8N97fzNJ2ucwTzA7qIGPjtWxW0DXIl2OKRGBvQ46RBiMhrdb1ghhOgmPSqAB2+Y57bmdVc3L0nmzpVp6HT9590b9DrmJIXwjeWp3H9uBjPjg3l5ZzEHStxXNHGntKGdk9UDq8AznkT2ki4x1Hb9mZUQzAB+Jc6JlaNlekwQD6yd3uvjmbFBrJoagU1zH/GvzIjkG8vtgWl+dQt3P7+b7768ny9O1JAe2fcItKFbGk+3NPwRcaCkgasf+Yo7n93Nnc/u5upHvuJgSUO/zwvz9+brOUn87upsSuvbXMqBtput/PD1A1T1chWmprnn9pqWTjcte2poM/HliWq+OllDcx9XSYQQAyMj9EKIEdfYZqK0oQOzoxRhSrgfhi4rfc5ODOGZbyzkyxM1PLkln4Ia+wI8StnL/V2aHceyjAj8h5iH3NFLjez+dJpHIRIbZovTwl3ypN1Jj/B3TmY8W5mxQVy/MInn+6j7PzMuiAWpozvJWKdT3LIkhahAHx7aeNK50Ji3QcdNi+2rlyaH+RET7MsHh8p5Y08pJouN2QnBXLcwiVVTI4kK8sFm03hkU74zlWlfcQM3Lk4mv6YVd+cCF2RGs9VRSlMpe2nFlHA/TtW2kjRCqSg2m8ZTmwsprjtzlau4rp0ntxTyp6/NHtBJcGunhfcP9kxTq2kxkVfdQoifF20mC8G+Rme1ouyEEJTC5XOYPYATt8KaVr738j72OK4mrJoawW+vziY2eHjq9E8kbSYLlU0dRAR4uy3hKsRpEtALIUZMQU0rm0/U8PSWAvIcy7grBWtnxnDZ7DiWpIU7yyemRPiTEuHPZbNjKalvw2zVCPA2kBYZ4FzoZqh8DUObnHc2NbTHSnpUAP91yQz+563Dbh/X6xQ/vmTGsJWt1OkU31qdTkVTB58ererxeEZUAL+/JptQv9FfsdPbaF899ZzpUeRWNmO22IgN9nFJ0Vg2JYJlUyL4zrkZWG0awX5GfI1n/ms8WtHEa7uLXfb79r5SbliYxK7CenIr7VdxQv2MnDcjmiPlTZQ32ifQLk4LZ9Pxau56bg/eBh03LEripsXJwz43o6HdxKfHelY1+vRYJQ3t5gFV/PEx6smIDuixMJVep2juMHP7v3ZyqLSR8zOjuWlxMrMSQliYGsYjN87nqc0FtJmt3LYshVXT+l9E6uMjlc5gHmDT8Ro+P1bNDYukQk1X+4rr+dW7R9lZVM+06AB+elkWS/uYQyQmNwnohRAjYntBLfe+sJfqZtdL8JoG7x+s4P2DFaydGcNPLplBfOiZdJsQP69hrZEOMD02kFB/I/WtA7+0nxruT0a0Z+bmXrsgkUAfA3/+6LjL3ITZCcH8x3lTWTM9alhfLz7Ujz99bTbb8+v4+EglRyuaiAvx4aKZsSxNCyc2ZGxHXoN8jSxICeuzTWSg+0XFyho6euThN3VYeH77KbLiglg3O47kcD9K6tt4Y28pVpuGt0HHgtQwXuqySmynxcZTWwrZe6qex27KcZvfPlRFta1Miw5kZ1G9y/ZZccEcKmkgIcyv35MIvU5x85Jkvjhe7fJ+b1yczE/ePESVo1b9K7tK2HKyhlfvWkJcqB8XZsVw3oxobJqGUT+wLN7uJw0AlU39z6GZTFo6LPzXm4ecayDkVrZw74t7eP/+FcTIlQzhhgT0Qohht6+4nm8+s4umPspHAnxwqAKbTeM3V88izH/kRnBjgn25Y3kaf9iQO+Dn3LY8ZdhPLEaLt0HPlXMTWDU1ioMlDbR0WgnzN5KdEIy/98hctg/x8+LCmTFcODNmRPY/Vnwck3lnxAaSHhmATdPYUVBHTYuJw2VNHC5r4vblKXzv/GksTY/gWHkTCWF+/LGXY21fcSPb8mtZNyd+WPp3tLyJW57ayaWz4jhQ2uhMtfI26FiREcHNT+3E26Dj/10wlZsWJ+PbR9rammlRPPuNhXxytIra1k5WTI2kqd3sDOZPK23o4K39ZRTXtxMV6M2KjEhnqc6ByE7oWY0mM1Yq1HR1qq61x4Jmda1m8qpaJaAXbklAL4QYVjabxr+2FPUbzJ+24Ugll86O47LZcSParwsy7dV0yhv7L584NSqA1VOHdxR7LIT5e7Fqmue/j7E0JSqAmxYlsetUPe8eKEenYPmUCGIdpR3bTFYWpYa7LOj0+bEqWvuoNnSkvGnYAvrPjlXR1G7htd0lrJ0V48xnVwpe2V3MgpRQdhbW8+v3jxEZ6M2Vc3uv1a6UYllGJMsyzqTN/Pr9o27bHi1v5u39ZQA89PlJ/nlTDqsHeOXn/BnRPLB2Gg99loder/je+VNZNbX/VJ3JJCLAm/AAL+cqvmAvoxoVNPqpa8IzSEAvhBhWh8ubeGt/z1U0+/L67mIuyIwe0YVoMqIDeXj9PL79wp4+a6JnRAXwf9fNISm876o7YuJrN1l4cnMhz3aZ8GvT4IsTNRh0ihsWJVHZ1MHCVNd0nv5WQB7O43xjrn3egslq4619ZT0e7zry/dzWIi6eGTuo15+XFNJjm5deR9fKnGarxp8/OU5OaigBA7gCFOhr5O5VU7hmfgI6pRtQjv9kExXkwy8vn8l3XtqHyWpDr1P8z6WZzjKqQnQnAb0QYljtPVXfZ+1vdzYer+FkdcuILwwzJymUZ76xiM9zq3hic4HLaH1KuB/fWJ7KqqmRo7YwjhjftubX8s8v890+ZrFp/HtfKa/cuaRHalZWXDAp4X4U1ra5fe5wVRiCvsuP6hR0PbXIq2mlzWwdVEC/emoUP754On/++DgdZhuRAV5cnB3HyztdqxodKGmkvKGDjOiBp3RFBAzfPIKJaO2sWDKiAymoaSUuxIcZMX2vwSEmNwnohRDDqrljaDWlR6sWdXpUAOlRAVw5N56TVS10mG34eunIiA4Yk0osYvz65EjPqj1dNbVbOFbRzPRui52F+Hnx08uyuOvZ3ZisruVDb1uawoKU4Qvoz8+MdltuEuwVfLbl1znvL00PJ2iQpQ99vPTcuTKdCzJjqGnt5GhZEz99+3CPk/ZAbwOBPhJSDLcpUQFMifLMyflidMlf3xAppS4C/grogcc1Tfttt8fXAz903G0B7tE0bf/o9lKI0WfQDW29OoNhdNe5Cw/wJjxAAnjRu/0DWJipys3iSgBrpkfx4p2L2XC4nM0nakgO92ftrFjWTIvEr4+JqR1mK/uLGyisbSUxzI/5SaF9jqivnhbFlXPjeXOva5pbZKA3EQHeVLfUAPbR+usWJPYoAXuispkdBXVowIKUUKb1Mgp8uqysDoVep7BZXSP6e1anj9lkzb2n6vnkaCXh/t5cPidO/q7FpCQB/RAopfTAQ8D5QAmwUyn1tqZpR7o0KwBWaZpWr5RaCzwGLBr93goxulIiBp97HuxrJH6MSxsK0V1CqG+PSiPd9bXY2fzk0EFVf6lpaeexTYU81iXN59tr0vnOuVPx6uWEN9TPi59elsm506P44kQ1TR1m5iWF4qXX8XtHpZ2c5FDuWZ3OigzXiad7iuq59akdNHXYJ7D7eel56rYFLEoN77WP85JD+efNOfzpo+McLG0kwNvAt1anc/3CsakhX9nYwV3P7qaqS3nc0yv8CjGZSEA/NAuBk5qm5QMopV4CLgecAb2maV91ab8N6L20gBATyILkcBJCfClxU2u6N3esSJVVIsW4c1FWDBsO91yw6TSDTg0qYO9LXlUzL+4o5oktBS7bH/o8j7QIf5akRxDXy0lviJ8Xl86O49JulaIunBlDu8lKTLCP26sCL+0sdgbzAG0mK89uLWJhSphzNVh3Vk+LIic5jPLGdgJ8DGP6t9vcaXEJ5qua+q9iJcRENLrXuCeOeKDr0oEljm29uR34wN0DSqk7lVK7lFK7qqurh7GLQoyNsAAvvrVmyoDb+xh1rJkAJSLFxLMsI4JFqb0vSPWd8zKYFjM8VUee+qqQyqYOZ9nJrr7Kq+WSv3/JlhM1g9pnbLAvaZEBboN5TdPYX1LfY/v+kgZnLfu+BPgYyIgOHPMT8aQwP757XgYAYf5GzsuMHtP+CDFWZIR+aNwNXbit66GUWoM9oF/u7nFN0x7Dno5DTk7OIGuDCDE+rZsTy/HKZp7+qrDPdka94sEb5jLTzUIzQpyNdpOFPUX1fJVfS3FdG/GhvixJi2B+SmifaTJdRQX68IdrZvPElnxe2H4KsyNvPMzfyHfPm8pV8+L7HMkeqOK6Vl7eWcxFWTF46XUuE2n1OkVyuD/1rWbufHYXb927fFgmSSqlWDszltyKEy7bL5kVi88Ilo8dbl4GHXevTmftrFgCvA29XsUQYqKTgH5oSoDELvcTgB4FgJVS2cDjwFpN02pHqW9CjLkAbyPfv3Aq6ZH+/O3TE1R3W2kSYFFaGPetmcLyDFlQRgyv+lYTf/wol+e3u5ZWfHhjPl+bn8ADa6cPeOJkUrgfP183kxsWJVFc245Bp5gRG0R08PCVXLTYNMxWjU+PVfH1BYm8saeENpMVH6OOa+YlUFzXCkCrycpXeTXOgL64ro0vT9RQWNtKZIA3yzMimBHbc1JrY7uZz45VsuFQBfVtZs7PjOa8GdFcNS+BQ6VNfHLUnla0MiOCa3MSezx/vPM26Jkq9dnFJCcB/dDsBDKUUqlAKXAdcEPXBkqpJOAN4CZN046PfheFGFsB3kZuWpLChVkxbC+o42R1C1arDT9vA/OSQpmTGOJRI4HCc7y6u6RHMN/1saRwP+47J2NQ+5wWHcS06JGpA54Q6scFmdF8dKSSV3cVs3paFF56hdmmcaKqheouOeLFdfba9ierWrjnud2cqGpxPubvpeeJWxewOO3MpNY2k4Xff3jM5fPYXlDHyzuLefSm+Tx0w1yOljdhA2bEBuJrlLBACE8kf7lDoGmaRSl1L7ABe9nKJzVNO6yUutvx+CPA/wDhwD8cl2QtmqbljFWfhRgrUUE+XNZtsp4QI6WsoZ0HPz/RZ5tHNuZx+ew4ksbJAmJGvY67V6WxvaCWxnYLGw7b68oHeBtYNzuO7QVnaskHOurIv3ewzCWYB/sI/oOfn2RuYoiz1OWeonq3Jzcnqlr4+Egld61KZ84wLnQ1UC0dFhrbTYT4GfEfwOqyQoi+SUA/RJqmvQ+8323bI11u3wHcMdr9EkKIyexEZQtN7ZY+27SarByvbBk3AT3AvOQwXrlrCe8frOBYRTO+Rj02TePlXcUu7RakhGGx2nh7X7lz28qMCML8vbHabBgNOorq2pwpKIf6KLv55t4SvrkiDZ3u7OcBDJTZauPDQxU8+NkJcitbyI4P5ttrpnB+ZnSv/bDZNPKq7Scv6ZEBo9pfITyFBPRCCCEmDJu7MjHu2rmvYzCmpsUEkRjmx18+Ps4/vyzo8fj950xhXnIIep0iJsibvOoW1s2OY8+per7oUgHHqFMsmxKOr5fBbQWH0/y9DAzDnN5B+fhIJfe9uNd5/0BpI3c/v5snb1nAmuk9q101t5v5+2cneXxzPkop7liRyr1rpjivVAxVUW0rXxyvprShnZRwf1ZOjZQJtcKjSUAvhBBiwkgJ98PHqKPD3HvpRaNekXIWo/NN7WbaTRa8jXpC/LyGvB93/LwMfOe8DGYnhPDm3lJyK5uZGR/M5bPjWDMtCm+DPZXm6vkJHClvoqnDTEm965oPL+8qwWTVeHNvKbcuTen1ta6enzAsVXoGymSx8oybyleaBq/uLnYb0G/Jqzmz0Jam8eimfHKSQzk/M2bI/SioaeGOf+0ir7rVuS0nOZQHb5g7KqvdappGbkUzta0mpkYHEBk4fBOsxeQlAb0QQogJIzUygNuWpvLwprxe29y4KGlIVVEOlTay6Xg1z2wtpLbFRLCvkRsWJbFmWiRzk0KHLTgO8DZy6ew4LsmOpdNiczt5/MKsaCw2G//15iG3+7A4Sl++vb+MW5Yk86+tRS6Pr82KOaugeCjazVaOd8v7P+1oeTNmiz1lqKuKxp4LRZU3nN3iURuPVbsE8wC7iurZcrKWq+eP7BqQZquNp7YU8LsPc7HaNGKDfXjohrnMS+59vQMhBkICeiGEEBPKjUuSOVzWxBcnei7WtzgtjNuWpw16nxsOlXPfi/tcasTXtpr4+2cneejzk/zummyunpvgzO8ub2ynw2wl1M9ryKP4SqleK0H5exu5YEYMv/sgl9rWnmVhT/ejrtXEewfL+et1cyhv7KDDbCUrNoiFaeEE+47uZNRAbyOrpkby5t7SHo+tmRbZI5gHyIoLRqfA5siQ0inIij+7dSsKa1vdbi+pb+ux7UhZI5tP1tBuspGTEsqStPCzyuE/VNrIr98/5rxf3tjBQ5/n8fCNIXi5ef9CDJQE9EIIISaU+BBf/vT12Ww+Wc1be0vJq2klJcyfK+fFs2xKBNFBg0tx2JZfy70v7nUuLNWdTYMfvHaAcH978P7O/jKe33YKk9VGbLAPty9P5cKsGBLD/Ibj7TmF+Htx16p0fv3+UZftep3C0CXorGkx0dBq4u5V6cP6+gOlaRpKKXQ6xQ2LkvjwUAXtZqvz8WBfA1fMdb/Yek5KKI/elMOzWwtBwc2Lk5mffHZVedIi3adbJYS6/n4OlTSy/oltNDomWSsFD90wj4tnxQ75tcsa2nts21FQR0unmTDDwNZGEMIdCeiFEEJMOJGB3lw5N4Er5sTTabHhbdANKSVG0zT+vbe012D+TDt4cnMhlU3tnKg6MwJc3tjBL987yjv7y/jrdXNJiXANJvOqW2hqNxMV5EP8ECZlXj0/nqZ2E//8soBOi42YIB8unBnDa12q43gbdPh5j/6aD83tZt4+UMYrO4uJCfJh/eJkVk6N5MU7F/PxkQoOlzUxJyGE87OiyYpzP+qulOL8zGjOz4wetn6tnhbF1OhTHK88k/6zKDWM5VMiXNptOlHtDObB/jt+ZFMe506PcpYFHawpUYEY9crleFo7K4bQYZ6LISYfCeiFEEJMWH2lrQzEyaoWXt1dMqC2m0/WcPmcOJeA/rT9JY08v72I/7okE4BTtW08sTmfF3acwmzVCPA2cM/qdK5fmEiY/8BHasP9vfn+hdO5en4iR8oaeXlnMc9sLaRrsZ/LZscRHdT3ycKm49W8sK2I2lYT1y9M4tLs2CEHrZqmcaqujY8OV/Irx9WD/TTyWW4Vr9y1hLmOheUGqqHNxK7CenIrm/HS65iXHMqs+OAhp6gkh/vz+M0L+PJENWWN7SSH+7EiI7LH6r/NHT3Ln5Y3dmCy2Ib82UyLCeTv18/lF+8eoayhgwuzYrhzZdqoTk4WE5ME9EIIIUQvaltNWG0DL3Fpc9P2klkxpEUGUNNi4o8bjpGTHMYru4p5/1CFs01Lp4U/bMilsd3Mj9ZOH3SAlxrhT2qEPwHeBny99OwrbiA22Jf5ySFEB/lwuKyRquYOFqeF90gt2V/cwB3/2ukcNd5VVI9Rr1g3x30aTF/yqlt4cnMB+4sb6LC4VhoyWzV2F9UzdxALWRXUtPDAGwfZnl/nsv3ba9L51pop+HsNLYxJCvdjfXhyn23mJoX02HbjoiQCz3LuwUUzY1mYGk5Tu5m4EF/JnRfDQgJ6ISahTrN9YZ2WTjNGvY7kcD8pnSaEGwb90EdOM2ODWJASQpvJxt8/O9nlkTyuW5CIv5eeVpPV5TlPbC7gyrnxzIgNGtJrrpoWxbzEEA6UNtLQbuaZbUU8sbnQ+XhciA+P3Dif7IQQ57Z9xQ09Uoo2Ha8edEDf0GbiB68dYHdRPcnhfoS5SSPxHcTIts2m8cim/B7BPMBDn+eRERXYa+79cFg9LZLfXz2Lv356koY2E7cuTeG6hUnDsu8wfy/C/CXNRgwfCeiFmESa2s1szK3i1d0lfNllIZroIG/uWJ7GOdOjSI8KGMMeiomsoc3EicoWLDYbscG+PfLJz5bJYuNgaQMFNa2gQUqEP7PigwecHlHR2EFNSwc+Bj0pEf4Y9DrSwgNIDPWluL7nZMbuAr0Nzio4yeF+xIb40NBu4Z39ZT3avrm3lPNmRPPewXKX7VabRkFN65ADeoBAPy+WZUTy+Jc9g+Gyhg4e3pjH36+fi0FvHxl2V+1msBOHAXYX1bO7qB6Aoto2VkyJYH9Jg7NCTUKIL8umhA94f7mVzWzLq2F2QjDHK1tcJtICvLTjFBfPisHLMDLzA7wNer6+IIkLs2Iw22xEBMighxi/JKAXYpKoaenkN+8f5fU9PUvGVTZ18qv3j/L0VwU8tH4ecxLProqEEF21dJp5b385j36RT36NPb/cx6jjpiXJXJuTyJSowdeE725fcT0PfnaST45WuWxfPTWC+86d2mdllKLaVt7aV8rjmwtoaregFFw8K4brFySzPCOCbyxP5efvHOm3D6unRfLRkUoA5ieH8saeUi7LjsVdxk6nxUZv1Q/9vc4+QLXaNLd/6wAfHq7gVF0baZH2k/el6eEsSw9nS14tAFGB3kOq5NK9Zvxb+8q4al4CJouNYF8jaRH+pEQMfMCgqK6VyEAfKps7uDQ7lm0FtRTXnTmxOlLeREunlbARCuhPC5YJq8IDSEAvxCRgsdp48LOTvf4Hf1ppQwfffn4Pz96+yPmfvRBno8Nk5e+fnuTRL/Jdt5tt/POLAj47WsWjN80/q6B+f3EDtzy5w6UiyWkbj9ewq6iBp29bQE5Kz8V7TtW28Z0X97KvpNG5TdPgvQMVbDhUyT/Wz2PtzBg+PlLJV46A150ZMYGEB3jR6cgbtzhSWPqqWa7X9cydTg73JXsQE0Z7o1P2kya3r6sUhi6vHRXkw99vmMvuonraTTbmJIWQNIQSmzHdJ5V2WnjNMaF43ew4nvqqgOsXJeJj7D/0MFmsPPFlAbscI/7FdSVcMz+B4rozE5SnRAUMy8mPEBOBzMQQYhI4XNbEv7YWDqhtaUMHG3Oren38eEUTL+44xaOb8nhqSwHb82vp7HYpXIjTthXU9gjmu8qrbuXlncW9Pt4fi9XGI5vy3Abzp7V0Wvj7ZyfcHqdv7y91CeZd9m3TeOCNAygUv78mm5uXJLvUdwd74HzV3HgeXD+P6xYkMSMmEG+Djg7HaxXXtZPhJo1tUWoYx8qbXLb5e+n5zVXZw1LCUCnF13pZ9fTcGVF4G13fR5i/N+dnxrBuTtyQgnmAnORQ5ro5GfHz0qNTiqhAH5cTib60maw9VnPtNFtdPv/rFyYNudqMEBONjNALMQl8eaLapYxdf57YXMjlc+IJDzhTPq+otpUnNhfwoqPMXldL08O5/9wMFqcNPD9WTA6fHK3st80zW4u4YVEyqUPIqT9U1sSHhyv6bbfpeA0HShpZkHpmlL6yqYMnthT0+by6VjPbC2tZNzuen6/L4oZFSewpqqe5w4K/l57ZiSFkxgWjdwSaT922gK15tew5ZR9Z3nOqnrUzY4gP9eXLEzXolL0OulGnuGVpMgU1bVQ3d5IU5suyKRFMixl67nx3F82MYfPJGt4/eObzmREbCCg2n6jh6vmJLu0tVhuHy5o4VddKcrg/WV3e10AE+3nxs3VZPPT5ST7PrcJs1ZiXFML0mCBe2VXMb66a5czb73dfvkauX5jIQ5/nAfb5CVOjA7HY7CU+o4O8uSgrZsB9E2Kik4BeiElgY271oNqXNrRTXN/mDOiLalu578W9HOhlJPOrvFp2F9XzxC05LM+IPOv+ionBbLWxtY80ldM6LTYqGtuHFNAX1bYO+GS1sLbVJaCvbTFR32ru93mVTfbccKUU02OCmN5H0B0T7MuV8xJIjQzgue2n0DT44FAF4f5eXJQVg03T2JJXw9SoQFZPi+LiWYP/b7jTYmXT8Wp2Fdbj56Vn1dRIt6Ug/bz01DR3cuXceCxWG3qdjqLaVjYcriAl3HUU3mbT+NfWQn753lE0zb4q6s8uy+KWpSmcqm3laEUTwb5ezE4IxrePUpGzE0O4Y0UqgT4GTBYbh8qaeHHnKW5fZl8t19172V1Uz6HSRnyMehakhDEjNgilFHevTGdqdCBlDe1UNnXwf5+ecJYQ/fllmWddPlKIiUQCeiEmOE3TaO7sP2jpzmw5EyU9vaWw12D+tE6Ljftf2st7968gNnjwK16KicegG/iiTgNNxehuMFeeuo81+xh16BRuJ612NZhSi6dlxwfzv+tm8pO3DgH2evanK9qE+Rv58cUz8BtiDfU395TywBsHnfcf3pjH83cs6jFHwEuvJ9DHyJt7e86diQhwXbzqWEUTv37/mPPz1DT45XtHiA725vuvHKCl057S9LX5Cfz4khl9pgUtTA0nMcyPvUX1rJwaSUZUIDPjg3qMzlusNh7/soA/bMh1bvM26HjspvmsmhZFoK+Ry+fE88HBcn73Ya7Lcx/fUsDKqZGkRgZwuKyRr07W0Gqykh0fwrIp4ZKKIyYdCeiFmOCUUqRFBJBb0dJ/4y4CfexfDycqm3l++6kBPaeu1cy2/FqunOs+d1dMLkop1s2O43BZU5/tUsL9yIge2iTstEh/lBpYYN+9TGZyuD/rZsfx7309y0qeplMMaiEk5/N0iusXJZEY5svbB8rYeKwaH6Oe6xYmcv6MaKYPsSxlfauJP3/sGtx2Wmx8cKiiR0Cv0ymuX5jEZ7lVLp9PkI+BFRkRLm0rmjp6LKCVGRvE/310whnMA7y6u4TV0yK5JDuuz37GBvsSm933if3B0kaXYP70e/nFu0d5IzHEWV2m1dRzfoRRp2N3UT21rSZueXKHSz3/n1wygztWpPX52kJMNDIpVohJ4ILM6EG1XzszxlmPfs+pemdt7YH46HD/OdNi8lg5NbLfEe67VqURMsSJoJmxQVw8s/8Si2umRTIrIdhlm16nuHZBIsY+Fo/6xrJUZgwxr12vU6yaFsUfr5nNZ99fxUffXcl952QMOZgHaDNbqGkx9dhe1dThpjWcMz2KR2+cz9L0cEL9jFw1L56nb1vQow+p4f49quKkRwZwrLK5xz5P1bUNuf9d5Vb03DfYV5strD3zGsE+xh4Ti5emh7Mlr4a395f2WJzrDxtyKag+M4BRXNfGwZJG2tycGAgxUUhAL8QksDg93O3iMb25fE4cRsfl8aaOwaXrFNS0og0mD0JMaDNig3j4xnm9BvXfXJHGZbP7Hu3ti0Gv4+5VaYT59358B/kYuP/cDLzd1Ctfkh7BozfOJyrQ9YRCr1N8c0Ua31qd3mfpyYFQShHs64W/99lfFI8N8uVKN6ujrpzqfu6KTqe4ICuGp29bwOffX80fr5nNvOSe5TtTIwP4y9fnEORr72Oov5F1s+OY3e0kCHpe6RiqoF6+k4x65bxCCBAZ6ENciC9XzInnsuxYvpaTwMdHK5kSFeh2jkanxUZVcycA7+4v46L/+4LLHtzM3c/upqi2tUf74VDX2sneU/VUNvW/AJkQI0FSboSYBGKDffnT17O569k9PS6rd3fT4iSXy/He+sHlogb7GlHq7AIgMbGsnhbFG99aypcnanhzbykdZitL0sK5ICuaRalhfU6yHIhZCSE8fdtCHtmUxweHKlzSSy7IjOae1el9ps2cMyOa9+5fwY6COiqa7CvFznVUZznbYH646XSKe1ZPocNs5b2DFXgbdHxrdbrbCaddeRn0/a6ounZWLLMTgylr6CA+1JfYYF98vfR8+4U9zqsCty5JYVl6RJ/7Gaic5FBSIvworHEd8b95SYrLOhhZ8UFMiwngsS/OVCRKDPXj/MxoGtpNnKhyrVQU5GsgMcyPsoY2HnjjoHME/4sTNXxypJLbhzkdp77VxA9fO8DHR6uYERPIIzfNJzl8eFdBFqI/SkbSxo+cnBxt165dY90NMYF9erSSH7x+gFo3l+z1OsXdq9K4Y0Way4S3nQV1fO3RrQN+jf+5dAbfWC75q8I9m03DqmnOK0DDyWK1V1UprGkBFEnhfsyMC8bLMPEuRputNgprWvEx6kkcYt34gapo7CC3ookQPyOZccHD+rs7UtbIo5vyeedAGb5GPXesTOOGhUlEB7kuUtXaaeark7UcrWgm3N+LZVMiSInw51hFE3c/t9t5UqDXKf567RwunR3HsfImLvrrly77uXdNOt+/cPqw9R/sqxRf8dBXzvuP3jS/3xOsiUIptVvTtJyx7oeQgH5ckYBejIbKpg6259fyeW41RbWtBPkYWJ4RydL0cGe5uK5MFivffGYXm47X9Ltvg07x7v3L+yzrJ4QQXVltGmUN7XgZdD0C+YEob2hnV1E9rSYLM+OCmRlvTxPqNFv57iv7nHX4dQqevm1hr+lJg1VQ08rxiibC/L352TuHOVzWRLi/kRe+uYRpMUNf+diTSEA/fkhAP45IQC/Gq50Ftdz85E7a+1kR9ieXzOD25amSciOEGBfKGtr59FglNc0mclJCWT4lYli+n7bl13LHv3bR0mlBKfjjNdkE+hpJCfdnavTkCOZBAvrxRAL6cUQCejGebc2r4Tsv7XNONuvKqFf8aO10bliYjI+X1H8Wwh2z1cb+kgZ2F9bTbrYyNTqQRalhLisyT2RWm0ZLp5lAb+O4m5swWHc/t4sPD52p6OVj1PHRd1eSFDa5cucloB8/ZFKsEGJAlqRH8M69y9leUMvHRyrJr2kl1M+Lc6dHsXRK+LAuWS/ERNNpsfLk5oIeCyTlJIfyx69lkxIxtDr8nqKwppU/bDjGtvw6LsyK4TvnZQwpvWY8sNk0yhtcy4R2mG20m/q+ginESJKAXggxYNHBPqybE8+6OT3L5gkherc1r7ZHMA+wq6iep78q4mfrssagV6PnlV3FvOfIZX9hxymmRAXwjeWpY9yrwalp6aTDZCU+1Jf1i5PY/9qZ1XqvmBNH6gQ/KRPjmwT0QgghxAjbmFvV62MvbD/FbctS3JY6LGtop7q5k7gQHyIDPXNEG3ouRlXX2rPS1nhlttp4Y08Jv/3wGE3tFq5fmMg3l6fx0Pq5HCxpIj7El/MzoyZkNSXhOSSgF0IIIUZYSX3vCw6ZrDaauy3g1mm28vLOYv6wIZfmTgtRgd78z6WZXJId65GTzi/KiuHdA+WAvRrWgtTe1wUYCk3TRuxz2V5Qyw9fPzMa/9y2U0QFenP/uVO5ZNbQF0UTYjhJQC+EEEKMsNkJIXxy1P0ofVSgV4988o25VfzP24ed96uaO7n/pb1EB/uwIKXnSq/j3dpZsTzja6S4ro2M6EAWpg7Pe6hvM/HEl/l8nlvNTYuT+VpOIvphnnB7rLy5x7Z39pdz75oMj5/cKyYOuT4khBBCjLDV06PwMbr/L/feczJ6pNN8caLnug82DXYV1o9I/0aaXqdYOTWS9YuThy2YB/jieDUPfp7H4bImHnjjIAdKGoZt36fFBPdMdcpJDpVgXowrMkIvhIdo7jCzu7CeY5XNmCw2An0MzE8OJSsueNhHpIQQw2tWfDD/vDmHn751mPyaVsBe6vC+czJYmBLKY5vyOF7VwtToQM6bEUVvBaU1TaPTbOVYRRNKKabFBOJtkFKxI2lZegTrZsfx9v4yAOKCfbh+UdIY90oIV1KHfhyROvTCHU3T+PRYFX/akMvRCtdLv0rBZdmx3LN6CjNipWykEONdQ5uJQ6WNdFispEcEoAG3PrXTZdJoSoQf96/J4Huv7nd5rlLwzG0LeW57ERsO22ugXzEnjh9fPIMoDy0BebbsKTcFbDpexfpFI5NyA9BmsnCgpIGWDiuz4oOJdjNqP1TNHWYOlDRgsmjMSggmwoPWJZA69OOHBPTjiAT0wp139pfynZf2YevjTzU22IcnbskhMy549DomhDhrT27O5xfvHu2x/bdXzaLVZOFPHx2nzWQl1N/ITy/Nor7NxM/fOeLS9jdXzeL6hZN7xFjTNCqbOmlsNxEf4keAj2ckIBTXtfHA6wfYklcLQFqkP3+/bi5Z8Z7xXS4B/fjhGUe8EJPUkbJGvvfK/j6DeYDyxg5++d5Rnrg1B1+j/FkL4Sl6q35TWNvGA2unc/6MaKpbOokP8SMm2IcH3jjQs60jhWc47Smq4/ntp6ho7ODaBYmsnRWLUW+fA9BmsrAtvxaTxUZOStiojijnV7fQbrYyLToQg6M/HSYrL+8q5k8f59LUbmFmXBA/vngGS6dEjFq/huqjIxXOYB4gv7qV57ef4tdXzRrDXglPJP/zCzGOfXmiBrN1YFfRvsqrZd+pRpakh49wr4QQwyU1smfteYCkMD/7v+H+JHWpT5/pJrUuPcr9PoaqrKGNbz6zi9pWeynNLXm1POlj4Jzp0VhtGv/YmMeDn50E4MKsaH5/zWyCfY3D2gd3NuZWcdezu+m02PjJJTO4fXkqSik+OVbJT7tUBDpU1sQ3n9nFO/cvJ20EFnuqbenkeFULYX5GpkYHnlW5zCNlTT22fXGimg6zBR8ZnBGDIFVuhBinGttNPLmlYFDP2VFQ238jIcS4sXpqFNnd0ivmJoawaqr70eWLsmK4Zn48SoFOwU2Lkzh3RvSw9ulkVaszmD/tcKk98Kxt6eSfX+Q7t284XEnBCFwhcOfDwxV0WmwA/P2zkzS02fv40eGKHm1bTVb2FjUMex/2Fzdw1cNbuP6xbVzyt808sbkAi9U2oOeaLDYOlTZyuKwRs9VGfauJcDdXN1ZOjZRgXgyaHDFCjFPN7RYqmzoH9ZzSht4XrxFCjD+JYX48fON8Np+spqS+ncRQP5ZnRBAX4uu2fVSQD7+5Kpvbl6ehUzAlKnDYJ4HGBvvgpddh6hKoJoTZ++PnZSAt0p+jjtrs/l76URmdB5gadWa0PSclFD8ve3Wf3qYCDvccQZtN4/Ev8ymqtX/PWmwav3r/KAtSwpidGNLnc1s6zfxxQy5Pf1UEwDeWpZAVF8SRsibmJIawr7gBgOQwP66ZFz+s/RaTgwT0QoxTer1Cr1NY+0ug78LXS8rXCeFp4kN9uXbBwCe1GvW6Ea1qlREdyP9dN4efv3OYhjYz31yRypppUQAE+Bj43dXZPP5lPg3tZu5ckUZqxPCm/PTmmnmJBPt60dppYc30SLyN9u+78zOjecexCu1pvkY9c5OGdzXaNrOVHYV1Lts0zT6xNdDHgJ+Xnphg9ydiuwrrncE8wJNbCrl9eQqbT9aQFRfEutn2FWermzvpHGCapRBdSUAvxDgV5u/FyowIPs+tHvBzpkUHjmCPhBCTxcWzYlmSFk6HxUpstyA1OyGEv10/b9T7FORn5Or5CT22n58ZzX9fMoO/fHKClk4L06ID+O9LM0mPGt78+QBvA5fMiuXJLYXObd4GHVXNndz7p00E+Rp49Mb5LEnvmS51Oj2oK4X9ysrhsiYOd8ml/4Fh2rD2W0wOEtALMU55G/RcNS9hwAG9j1HH4jSZECuEGB6h/l5j3YUB8fUycPuKNNbOiqGhzUxCqB9BI5QGdMvSFFpNVl7bXUJqhD/3rErjx28eAqCp3cJvP8jljW+Fu6RB5VY0UVDbQmSAN9Ut9jTK+BAfFqSG8vhm13lS52dGu534LER/JKAXYhxbkhZOTnIou4r6X+79O+dmkBY5/BUdhBATT3O7GbPNRpj/+FnE6GRVC499kUdRbRu3L0/lgqyYQT0/LsSPuJCR6dtpyeH+/ObKWfzHeRkEeBvYV9zgnKjrjtlq4y+fnODDQxVcPCsGo16Ht0HH+kVJZMYF8/fr5/Lk5gLKGtu5el4C1y1IcqYSCTEYEtALMY5FBHrz26tn8Z+vHWDvqYZe2925IpUbFyWPXseEEB6pqd3Mm3tLeOyLfJo7LHwtJ5H1i5KGZTAgr7qFqqYOMqIDB1SbvrndzOHyJgw6xaz4YJ7cXMAru0oA2HOqnnfuXc70cThardMpZxrSvORQvrkilX9+WUCQr4EfXjTNZXS+urmTDY4qPO8fPFON54ZFSRj1Oi6bHccFmdGYrDYCfUZncrGYmCSgF2KcmxIVyD/Wz+OL3Gqe3VbEIUeupU7ButlxXJody/IpkfjIhFghRD9e2nmKX79/zHn/ic0FHClr4rGb559VQPnO/jK+/+p+Oi02EkN9eWj9PLITQnpt39hu5hfvHub13aUAPLB2OsV1bc7HzVaNFpNlyP0ZLf5eBv7fBdO4fmES/t4GooN8XB4P9TMyNyGEPY4qNgDBvkaXdt5GvYzKi7MmAb0QHiA22JdrFyZxSXYcp+paMVltBHgbSY3wH/aSdUKIiamqqcO5IFRXW/NrOVDSyLI+Vlbde6qebfn2Ci+LUsOYl3ymgkxFYwf/9e+DztST4vp2Xt5R3GdAv7uwzhnMA/zuw2P85euz2VFYR6fFxnULEsfVJP/S+nZAIz7Ur8djPkZ9r1c4fL0MPHDxDP7j5b2UNXQQ5GPgD9dk95hoLMTZkoBeCA8S4GMgMy64/4ZCCNFNm8lKU4f7Ue/mDjOfHq3k9T2lxAZ7s35RsjNI3XKyhtue2umsS2/UK568dQErMiKdz21qd91vfm3fi011L8yoaZAS7s+79y2nucNCRnTAuEhBqWvp5Mkthfzzy3w0DW5fkcody1PdLgjVm4WpYbxz73IKa1uJDfYhLqTnSYEQZ0tWihVCCCEmgbgQX86dHtVju69RT4ivF/c8t4f3D5bzxOZC/vTRcefjL+445bLIlNmq8ezWIufCTcnh/qzLjnPZ55Vz+14caW5SCBfPPDPp9RvLUpgWE0hGdCDzkkNHLJhvbjez91Q9+dUtA2r/7sFyHvz8JJ0WGyarjYc35vH2/rJBv254gDfzk8MkmBcjRkbohRBCiEnAy6DjvnOncLS8ibLGDsA+2v77a7IxW60uQfuB0gY6zFa89DpOVDX32NeJqhbMVhteBj1eBh0/XDuNOUnBFNe1MycphAsyo/vsS5i/N7+6chbXLUxEr9MxJykEX6+RDUka2838/O3DvLG3FF+jnsdunu+8ytCbjw5X9tj2/sFybluWOlLdFGJIJKAXQgghJok5iaG8/q2l7Cmqp8NsZWZ8MNNigihraCcrLsi5wNFNi1PwcUzUvGJOPL/7MNdlP1fNjcfLcGYiZ3yoH99YnjaovoT6e7Fyas8rBgNV02w/KYkI9Omnpd2Rskbe2GvP2283W3l5Z3G/AX1KhB+bu007SJfywGIckoBeCCGEmERig325JNt1UmZciC8Pr5/PnlP1BPkYWTblzCJ1V86Np7S+nRd2nALg2pxEtyu2jqZ/7y3lv/99CA345RUzucKR4lPXaiKvqgVvo45p0YEu1WP8vQ3odQqrzZ4qFBvc/4nAlXPieXNPKa0mK2BPT7p63ti+dyHcUadz4MTYy8nJ0Xbt2jXW3RBCCCFc2GwaBTWtaEBahD+6Mayuday8iUv+vtkZmOt1infvW0ZRbRu/eu8oxfXt5CSHsjgtnAtnRjMrPgQATdN472A5T2wuYGp0APesmkJKhH+/r3e0vIntBbVomn2Ca5YUJnBSSu3WNC1nrPshZIReCCGEGPeqmjrYVVRPY7uJ6TFBZCeEjGrJWp1OkR41PlJNWk0WZzAPYLVpnKxq5Tsv7SXY18iNi5PZmFvFg5+fZEdBLfefm8HyjEiUUlyaHcel3Sbw9mdGbBAzxuECV0J0JQG9EMOopcPCobJGmjrMGHU60iP9SQrvfwRICCF6c6Kymfte2MuxyjOTU3++LoublySj1NiMlHearXxxopraFhPZCcH9ltPVNI0Os3VYJr5OiQpk7cwYPjhkX3l17cwYTlQ0Y9PgvMxonttW5Gy7o7Ce772yn7fuXSa138WEJgG9EMOgsd3MhkMVPLO10LmSK4Cfl55bl6Zw6ew4MmWERwgxBG/sLXUJ5gF+8e4RFqSEjtm6FM9uK+KX7x0FINjXwPN3LGZmvPu+5FY088TmfLacrOXyuXHcvDiZmLMIroN9jfzyiplcmh0LwOK0cG5+cgdKQafZ1qN9VXMne081EDtLAnoxcUkdeiHOUl1rJ7945zA/eP2ASzAP9oVc/rExj5se38auwrox6qEQwlOZrTY+dIxEd2W1aeQNsJb6cGvrtPDk5gLn/cZ2C3uK6t22NVls/PGjY7yyq4TShnb+8XkeL+8sPus+hAd4c0l2HJdkxzlqvNtXro0O8ubS7Fimx4yfVWaFGA0S0Atxlp7ZWsTre0r7bFPbaubbL+yhqKbv1ROFEKIro17HjFj3wWmY/8BXKx1O3kY9yeGuCySF+nu5bVvT0snHR6pctm043PME5WxdPCuWK+fGszWvlncPlGPQKy5zjOCH+3uh0PjyRDWNbaZhf20hxgMJ6IU4C/nVLTy8MW9AbSubOtmSVzPCPRJCTDTXLUjqMQH2gswo5iSOTbqNXqf40cUzmJcUQrCvkW+tTmf1NNd67ntP1fPQ5yfZXlDL5XNcJ6Gunjb02vO9WZASRnO7xXmV9FBpE80dFs6dEckVc+L51gt7uemJHdz0xA6OV/RcKEsITyc59EKcha35tXRaeuZs9ubJLYWsmx1PgI/86QkhBmbl1Eieu30h7x8sp7iujTXTo7kwKxp/b+OY9Sk7IYQXv7mYNpOVED+jy+TcoppWbnt6Jw1tZgB+feVM2kxWtufXsm5OHNcvTBz2/nSYrRwqawRAp8Cg03Gqro1Ls2P522dnVoY6UNrISzuL+Z/LMoe9D0KMJYkqhDgLJfXtg2p/sqqF2tZOCeiFEIOyJD2CJekRY90NF95GvcvCTafVtHY6g3mAhjYz/1g/j+YOM6F+XiNSmcff28CNi5MoqGnDZLHRabGRHuHP3lM9c/s3HK7g+xdOxW8YKu4IMV7I0SzEWRnCwmyylpsQYgJLjwzgsuxY3jlQTpi/kSXp4Rj1uhHP+c+ICuQvH5/A0qVG/bL0cDJjgzhSfqZgwezEYHwMPU9EhPBkEtCLCcVksdJpseFr1GPQj/wUkeigwZVBSwjxJcR/7C6TCyHESAvx8+J/r5jJrctSiAjwJnkU1uJoN1t4/Mt8l2AeYEteLdfMT3AG9H5eem5ZkjLiK91WNLbz8ZFKfIx6LsyMIchPvvfFyJKAXng8m03jUFkjX56o5vU9pbR0WIgN9uFrOYksTQ8nLXLkVjdcnBaGQad6/CfSm9uXpxLs674ahBBCjAaTxUprp5VgX+OIBbYhfl7MTw4DYF9xPRtzq/Ex6LloZgwpEf0H+A1tJl7bXcLhskbOmxHN2pmxffa1vtXMjkL3pTPTI/356WWZ6JRiYWrYiK76uqeonoOljTS1m/n3vlLyqlvpvMLKjYtTRuw1hQAJ6IWH6zBbeWF7Ef/73lG0LjF1VXMn+0sa8fPS8+D1czlnRvSIvP606EBuWZLCE1sK+m0b6GNgecb4yoEVQkwemqbx2bEqntxcwOHyJtZMjeLGJUnOwHsk5FU1c9tTO6l35NRvPF7FYzflEOTb94j1BwcrnAtX/XtfGS/d6c2i1PBe2wf5GsmMC+RIWc8KNumRAVyQFeP2efVtJt7dX0ZLp4VLs+NIDPPjaHkTXxyvJtDHwEUzYwacKrT5RA23PrXDOcBzzfwEyho6qG0x9/NMIc6eBPTCo721r5RfvHu018fbTFbufm4PT9+2gKVThj+YVkpxx8pUTla3sOl4da/tfI16/rF+HhnRstiJEGJsfHG8mjue2eUc/HhzXymfHqvk1buXMC1mZEat82tancE8wLb8OqqaO/sN6GtaO523NQ2XSbbuBHgbuP+cDO55fo/L4M6y9HByUkJ7fd7Hhyv477cOA9BusrJ+cTL3PL+bwpo2AGpbTNx3bkafr33a57mVLldr3z9Yzq3Lkrlo5sgMKAnRlQT0wmOVNbTzq/d7D+ZPM1ltPLmlkJyUMLwMw59XHxvsyx+uyebf+8p4/Ms8qprPLFyi1ymumBvH9QuSyEkZuVEwIYToz1v7ylyCXYCmDgtbTtaMWEAfG+yLt0HnLO+bHulPmF//aYcrMyJ5ZmsR1c2dLE0PY3ZC/zX3L8iM4albF/DBoQpK69s5d0YUF2RGu4ywN7Wb+exYFUW1rUyPDXKtUaAUNc2dzmAeYGfRwFf4DvRxPUkJ9/firhVphIzRAmBicpGAXnis7fm1NLVbBtT2k6OVHCptZF5y7yM1ZyMqyIc7V6Zx5dw49hU30NhuxqjXkREVwPSYoBGfgCWEEP3Jq2lxu72+n9HvszEzPph/3pzDSzuLCfY1sH5RMmEB/Qf0sxNDeP3upVS3dJAS7k94QP9BsU6nWD0tqs+Fq57ZWsgfPzruvP9/183hf6/IorXTyqXZsQR4G1g9LZKNufYrrpfMih3Au7S7KCuGdw6Uk1fVgo9Rx39flinBvBg1EtALj5Vf0zqo9oU1rSMW0J8WGejD+ZnuczWFEGIsXZAZw/7ixh7bp8eMbCrgyqmRrJwa2X/DbpLC/UgK9xu2ftS0dPLopnyXbY9/kc+/v73MpSra767KZldRPcG+Bhal9Z6339302CBevWsJJyqbiQ7yGdDkXyGGiwT0wmN1v3TcH5sUgBdCTGKXzIrl48MV7Cs5E9RfPS+eZSMwv2g88jHoWTcnjqZ2M82dFjYdryY+1Bd9tyuo0cE+XJI98JH5rsL8vQZ1EiDEcJGAXnis6KDBXcqMCvQZoZ4IIcT4lxLhzz9vyWF7gX1iamqEPznJoT1yv8eDTrOVHQV1eBl1LEgO6zVtsaCmlX2O1WDnJIWS2seo+Fd5Nbyxp5R2s5WIAC9uXJTMZbNj+125VtM0Pjlayc7CeqZEBbAuOw4fL1mYSowvEtALj7UoLRwvvQ6T1dZv26y4IOYljWy6jRBCjHeRgT5cmh031t3o16u7S/jJvw+hFDy8fh4Xzew5Yr41r4ZvPrOblk77XKoAbwOP35zD4vSeI+S1LZ385N8HaTdbAahpMVFS3zag/xf2nKrnrmd3c7qAjb+Xnks84DMUk8vIL6UpxAiZGh3InStTB9T27lXpBPjI+asQQow3B0saeHNPCYVd5kXtL24A7KmVedU9J/O2dpr57QfHnME8QEunhd9+cJTWzp6TfBvbzS4VyACOV7Y4q+/0pabFhK3bOidCjDcS0AuPdtuyVK6el9Bnm/+6eAYX9rKoiBBCiLFTWNPKjU9s57uv7Ocn/z5Ep2ME/fI5cQT7GkkO92X5lJ4TassaOthf0nOC776SRsoaOnpsTwzzY91s11H19YuS8Pc+M9BT09LJbz44ynWPbuWzY1XO7dkJwSxOs5cdTgz1ZbHkyItxSIYshUcLD/Dmp5dlsmpaJK/vLmbT8RrAXv/96nnxXJIdy7L0CJcKBkIIIcaHlk4LjY7yw/k1LZisNryNepZnRPLp/1uFQacIcVO3PsTPSJi/kbpW19H4MH8jIX495wQY9Tq+f+FUpsUEcrC0gWXpET0mvn5+rMpZBedAaSMbv7+aqCAfYoN9eeiGeRTVthET7E1cyPBV3hFiuEhALzxekK+RdbPjuDAzmqK6NjrNVgJ8DKSE+/c72UkIIcTYmREbxF++PptdRfVcPCvWZYJuRB+15yMDffjPC6fzozcOumz/zwunE9lLAYSkMH++vWZKr/v07rLwoJ+X3qX6TXiA94Bq4QsxVpQ22Np/YsTk5ORou3btGutuCCGEEONep8XKptxqNh2vRtM0Vk+LYtW0SLwNQ6tA09xh5s29pRTVtrJ2Zqxzde+mdjNGg8LXKGOg3SmldmualjPW/RAS0I8rEtALIYQQI6O104KvUT/glbtbO828tLOYRzblExfsw/cumMaqISyQNZFJQD9+SGKxEEIIIYaF2WrjrX2l/PStQzy7tZCmtp4VZ8bC63tKOO/Pm/jB6/upHmCVms9zq3lmaxFJYX4cq2jmnud2U1g7uBXKhRgtcv1ICCGEEMNiU24133lpn/O+UoobFyePXYeA8oZ2Hnj9AGarxmu7S1k9NYpLZ/ddR17TNFo6zMQF+1BU28ZNS5J5ZVcxp2pbSQnvffEqIcaKjNALIYQQYliUNLS53C8aByPafl56pkQGAKBTDGhy6+e5VWzNr2Nrfh1ljR08ubmAi2fGktLHSrRCjCUZoRdCCCHEsJgZF4y3QedcsOn0SqwNbSa25dfhbVAsSYvAx2toE1eHItjPi/+7bi6fHq0k1N+LmKCeZTC7+yK3mq5TDDXg/BlRJIVJQC/GJwnohRBCCDEsclLCeOGbizla3kRiqB/LMyLotFj5/YfHeGFHMQA/vng6d65MH/G+mCxWmjosBPsaKW1o4/8+OYHJaiMx1Jdnbl9Eah+j7aH+XlQ0dzInMYSS+jbWzY5jYYosKCXGLwnohRBCCNGvQ6WN7CqqIzXcnxUZkb1Wi5mfHMr85FDn/ZoWM6/uLnHef31PCXcsTxtwtZmuimpbeWNPKYfLGjlnehSXzY5zqV1/2smqFn79/lF2FNSxMiOCED8jJqv9qkFxfTvHypv6DOgvzo5lY24VzR1WshOCOWd6FIFuFqwaTU3tZnQ6RYC3hG6iJzkqJhGrTaO100Kgj0EWXBJCCDFgZfVt3PGvnVQ0daIUPHf7IpZNiRjQc4N9jJwzPYoNhysBOG969JCCeYvVxp8/Ps5b+8oA+ORoFXqluHZhkrONyWJD0zSe2lLAZ8eqAHj/UAX3nnPmioC3QUd8qG+fr5URFcizty+moLoFP289CWFjtzpsU7uZV3YV888v8/E16vn2mimsmxM35Hr7YmKSgH6SKK1v4w8bctl8sobLsuO479wphPnLqndCCCH6V9NqoqLJXu5R06CsoX3Az/Xx0vOzdVmsmRaFl0HHmulRQ+pDZXMHb+8vc9m28Xg11y5MwmbT+OhIBf/8ogA/bz0tHRaXdmX1HVy/IJHmTguZsUHEhfQd0ANYbDZe2lXMm3tLOX9GNP91yQyigtyvQjuS3j9Yzi/fO+q8/5+vHSDE14vzs6JHvS9i/JIqN5PEOwfK+fe+MmpaTDz1VSGfHK0a6y4JIYTwEOmR/ty8xF5+Mjs+mJwuKTUDERvsy3ULk7hqXgKhfv1PSnUn1M+L7Phgl22ZcUEAbCuo5Z7n97D7VD3b8mvJiA50aRcV5M0nR6vwMuh4bXcxZsek3b58lVfL89tP0Way8tb+MjYdrx5Sv8/Wx0cre2zbV1I/Bj0R45mM0A+RUuoi4K+AHnhc07TfdntcOR6/GGgDbtU0bc+od9ShtdPS530hhBCiN/7eRn60djo3L0khzN84Jld4/bwM/PSyTH713jH2Ftdz9fwErpgTD8DeUw3OqjRmq8b2glruXpVGgLeBjOgA0GB/cQOfHK3kgYumExPc/0i7Ue+aFmTQ6zBbbaCB0TB646GJbtKDhnpSJCYuCeiHQCmlBx4CzgdKgJ1Kqbc1TTvSpdlaIMPxswh42PHvmFgzLZJntxXR0GYmOdyPpekyW18IIcTA+XoZmBIVMKZ9mJccxrN3LKSx3Ux0oI8zFz/Y13XCalFtG20mKw+sneHcNiU6EJtNIz0yYEDzyJamh/O986fy5t5SLsiKJj7Eh6v/8RVmm42fXpbF4rTR+X/08jnxvLG3lKZ2+0BcUpgfq6dFjsprC8+htK6FVsWAKKWWAD/TNO1Cx/0fAWia9psubR4FNmqa9qLjfi6wWtO08t72m5OTo+3atWvE+p1f3UJ5YwfJ4X4khI7dBB8hhBBiOBXWtHLXs7vJrWwGIMjHwNO3LWTeIFOD3DmdnnPVP77iYFkjACnhfrx3/wr8R6nizMmqFnYV1mHU61iYGkbiGE7S7UoptVvTtJyx7oeQEfqhigeKu9wvoefou7s28UCvAf1IS4sMIC1ybEdXhBBCiOGWEuHPU7ctYHtBLZ1mG/OTQ3vk0Q+V0aDDZLFisp3JuzdbbYzmeOiUqIAxvzoixjcJ6IfG3bW67n/aA2mDUupO4E6ApKSkHk8QQgghRP/iQny5cm7CiOzby6DnZ5dl8oPXDmDVNH5zVTYBPhJCifFDjsahKQESu9xPAMqG0AZN0x4DHgN7ys3wdlMIIYQQw2FJegQffGclGprbxayEGEtStnJodgIZSqlUpZQXcB3wdrc2bwM3K7vFQGNf+fNCCCGEGN8CfAwSzItxSUboh0DTNItS6l5gA/aylU9qmnZYKXW34/FHgPexl6w8ib1s5W1j1V8hhBBCCDFxSUA/RJqmvY89aO+67ZEutzXg26PdLyGEEEIIMblIyo0QQgghhBAeTAJ6IYQQQgghPJgE9EIIIYQQQngwCeiFEEIIIYTwYBLQCyGEEEII4cEkoBdCCCGEEMKDSUAvhBBCCCGEB5OAXgghhBBCCA8mAb0QQgghhBAeTAJ6IYQQQgghPJgE9EIIIYQQQngwCeiFEEIIIYTwYBLQCyGEEEII4cEkoBdCCCGEEMKDSUAvhBBCCCGEB5OAXgghhBBCCA8mAb0QQgghhBAeTAJ6IYQQQgghPJgE9EIIIYQQQngwCeiFEEIIIYTwYBLQCyGEEEII4cEkoBdCCCGEEMKDSUAvhBBCCCGEB5OAXgghhBBCCA8mAb0QQgghhBAeTAJ6IYQQQgghPJgE9EIIIYQQQngwCeiFEEIIMWD1bZ2cqGymoc001l0RQjgYxroDQgghhPAMJ6ua+d7L+zlQ2sj8pBD+8LXZpEUGjHW3hJj0ZIReCCGEEAPywcEKDpQ2ArD7VAMfHa4c4x4JIUACeiGEEEIMkFXTXO7but0XQowNCeiFEEIIMSAXZsWQGuEPwNSoAM6bET3GPRJCgOTQCyGEEGKAZsQG8dKdi6hs7CQm2IeoIJ+x7pIQAgnohRBCCDEI0UG+RAf5jnU3hBBdSMqNEEIIIYQQHkwCeiGEEEIIITyYBPRCCCGEEEJ4MAnohRBCCCGE8GAS0AshhBBCCOHBJKAXQgghhBDCg0lAL4QQQgghhAeTgF4IIYQQQggPJgG9EEIIIYQQHkwCeiGEEEIIITyYBPRCCCGEEEJ4MAnohRBCCCGE8GAS0AshhBBCCOHBJKAXQgghhBDCg0lAL4QQQgghhAeTgF4IIYQQQggPJgG9EEIIIYQQHkwCeiGEEEIIITyYBPRCCCGEEEJ4MAnohRBCCCGE8GAS0AshhBBCCOHBlKZpY90H4aCUqgaKenk4GGgcwG76axcB1Ayya55moJ/VSBvJfgznvs9mX4N97mDaD9cxP1mMh89hpPswXPsfzWN+MM8Z7nYT/fs+CTg1wfswXPsfqWM+WdO0yCHuVwwnTdPkxwN+gMeGox2wa6zfy3j5rDy5H8O577PZ12CfO5j2w3XMT5af8fA5jHQfhmv/o3nMD+Y5I9BuQn/fA9UTvQ/Dtf/RPublZ/R/JOXGc7wzzO0msvHyGYxkP4Zz32ezr8E+dzDt5ZgfnPHwOYx0H4Zr/6N5zA/mOXLMD07DWHeAke/DcO1/tI95Mcok5WaSUUrt0jQtZ6z7IYQQYmRN9O/78fD+RroP4+E9Cs8gI/STz2Nj3QEhhBCjYqJ/34+H9zfSfRgP71F4ABmhF0IIIYQQwoPJCL0QQgghhBAeTAJ6IYQQQgghPJgE9EIIIYQQQngwCeiFEEIID6aUOl8p9U+l1BzH/TvHuEtCiFFmGOsOiJGhlLoBWAdYAQW8o2nai2PbKyGEECPgW8BtwE+UUmHAnLHtjhBitMkI/cS1StO06zRNW69p2g3A8rHukBBCiBFRrWlag6Zp3wcuABaMdYeEEKNLRugnLm+l1CVAMZAI+I5xf4QQQoyM907f0DTtAaXUfWPZGSHE6JM69BOUUsoPuApIwB7Uv6FpWvvY9koIIYQQQgw3CegnOKXUDOByIA7QgDLgbU3Tjo5px4QQQgwrpdR07N/38cj3vRCTiuTQT2BKqR8AL2D/Yt8B7MQ+QfZFpdQDY9k3IYQQw0cp9UPgJezf8fJ9L8QkIyP0E5hS6jiQpWmaudt2L+CwpmkZY9MzIYQQw0m+74WY3GSEfmKzYU+16S7W8ZgQQoiJQb7vhZjEpMrNxPYfwKdKqRPYJ8YCJAFTAKmCIIQQE8d/IN/3QkxaknIzwSmldMBC7JOkFFAC7NQ0zTqmHRNCCDGs5PteiMlLAvpJSil1m6ZpT411P4QQQows+b4XYuKTgH6SUkqd0jQtaaz7IYQQYmTJ970QE5/k0E9gSqkDvT0ERI9mX4QQQowc+b4XYnKTgH5iiwYuBOq7bVfAV6PfHSGEECNEvu+FmMQkoJ/Y3gUCNE3b1/0BpdTGUe+NEEKIkSLf90JMYpJDL4QQQgghhAeThaWEEEIIIYTwYBLQCyGEEEII4cEkoBdCCCGEEMKDSUAvhBBCTABKqXSl1LtKKd8u236hlLp9LPslhBh5EtALIYQQE4CmaXnAW8AnSqlwpdTfgTTg6THtmBBixEnZSiGEEGKC0DTtn0qpViAPeBO4SZNydkJMeDJCL4QQQkwQSikv4GvAB8B8IHlseySEGA0S0AshhBATgFIqAHsgv0XTtOuBbwPvK6WyxrZnQoiRJgtLCSGEEBOAUioSWKVp2mtdts0BfDVN2zpmHRNCjDgJ6IUQQgghhPBgknIjhBBCCCGEB5OAXgghhBBCCA8mAb0QQgghhBAeTAJ6IYQQYgJTSt021n0QQowsmRQrhBBCTGBKqVOapiWNdT+EECNHVooVQgghPJxS6kBvDwHRo9kXIcTok4BeCCGE8HzRwIVAfbftCvhq9LsjhBhNEtALIYQQnu9dIEDTtH3dH1BKbRz13gghRpXk0AshhBBCCOHBZIReCCGEmACUUtOBy4F4QAPKgLc1TTs6ph0TQow4KVsphBBCeDil1A+Bl7DnzO8Adjpuv6iUemAs+yaEGHmSciOEEEJ4OKXUcSBL0zRzt+1ewGFN0zLGpmdCiNEgI/RCCCGE57MBcW62xzoeE0JMYJJDL4QQQni+/wA+VUqdAIod25KAKcC9Y9UpIcTokJQbIYQQYgJQSumAhdgnxSqgBNipaZp1TDsmhBhxEtALIYQQE5hSKkbTtIqx7ocQYuRIDr0QQggxsT0x1h0QQowsGaEXQgghhBDCg8kIvRBCCDGBKaVuG+s+CCFGlozQCyGEEBOYUuqUpmlJY90PIcTIkbKVQgghhIdTSh3o7SEgejT7IoQYfRLQCyGEEJ4vGrgQqO+2XQFfjX53hBCjSQJ6IYQQwvO9CwRomrav+wNKqY2j3hshxKiSHHohhBBCCCE8mFS5EUIIIYQQwoNJQC+EEEIIIYQHk4BeCCGEEEIIDyYBvRBCCCGEEB5MAnohJimlVLhSap/jp0IpVdrlvlc/z81RSv1tAK8xIuXylFIblVI5I7HvwVJK/UEpdVgp9Ycxev0UpdQNA2gXp5R6bYT7MkcpdXGX++uUUg84bl+hlMoc5P4G9Xse6HE5Frq+F6XU+0qpkD7aDvqzcjyv5Sy6KITwYFK2UohJStO0WmAOgFLqZ0CLpml/PP24UsqgaZqll+fuAnYN4DWWDktnR0hf73EQ7gIiNU3rHKnXVEop7FXJbG4eTgFuAF7oax+appUB1wzmdYdgDpADvO94zbeBtx2PXYG9tOKRkXrxgR6Xw2Wox4+maRf30+QKRvizEkJMLDJCL4RwUko9rZT6s1Lqc+B3SqmFSqmvlFJ7Hf9Oc7RbrZR613H7Z0qpJx0jkPlKqfu77K+lS/uNSqnXlFLHlFLPO4JUlFIXO7ZtVkr97fR+u/XLVyn1klLqgFLqZcC3y2MXKKW2KqX2KKVeVUoF9LVfR38fU0p9BDyjlIpUSr2ulNrp+FnmaOfveF87He//cjf9ehvwB7Yrpa5VSiUrpT519PNTpVSSu8+12z5uVUq9pZT6UCmVq5T6qWN7ilLqqFLqH8AeINFxNeCQUuqgUupaxy5+C6xwXFn5rlJK72i309GPu7rs71CX13zD8ZonlFK/7+V4mK+U2qSU2q2U2qCUinVs36iU+p1SaodS6rhSaoWyX9X5BXCtoy/XOl7nQaXUUmAd8AfHY+lKqT1dXidDKbXbXR+AGx3H3iGl1MK+fjeDOC7/23FsfKyUelEp9X037/1ppdQjSqkvHe/x0i6f3atKqXeAj/roS1/HbKFSKsJx+2ZHm/1KqWd7+azSHb+r3Y7+THc8N1XZj/2dSqn/7eXzE0JMBpqmyY/8yM8k/wF+BnwfeBr7yKDesT0IMDhunwe87ri9Gni3y3O/AryBCKAWMDoea+nSvhFIwD6QsBVYDvgAxUCqo92Lp/fbrX/fA5503M4GLNhHgiOALwB/x2M/BP6nr/06+rsb8HXcfwFY7ridBBx13P41cKPjdghw/PTrdOtbS5fb7wC3OG5/A/i347bL59rt+bcC5UA49qDvkOO9pQA2YLGj3dXAx4Ae+6qgp4DYrr8LR7s7gZ84bntjH7FOdezvUJfXzAeCHZ9VEZDYrV9Gx+810nH/2i6/g43Anxy3LwY+6bLfB7u9twe7fAbXdHnsc2BOl8/6PjefzUbgn47bK7v03+3vhgEcl47Pdp/jsw4ETgDfd/PaTwMfYj9eM4ASx2d1q+N2WD99cXvMOu4XOvqUBeQCEY7tYb18Vp8CGY7bi4DPHLffBm523P42XY5F+ZEf+ZlcP5JyI4To7lVN06yO28HAv5RSGYCGPSBy5z3NnnLSqZSqwh5wlnRrs0PTtBIApdQ+7AFmC5CvaVqBo82L2APS7lYCfwPQNO2AUuqAY/tiIBPYouwD/l7YTxam97PftzVNa3fcPg/IdDwfIEgpFQhcAKzrMnrrgyPg7+UzAFgCXOW4/SzQdeS76+fa3ceaPQUKpdQb2E92/g0UaZq2zdFmOfCiYx+VSqlNwAKgqdu+LgCylVKn02uCsQekx7u1+1TTtEbHax4BkrGfBJ02DZgJfOz4bPTYTzxOe8Px727sv8vBehy4TSn1PewnCwt7afcigKZpXyilgpQ997y330137o7L5cBbp3//jpH23ryi2dOcTiil8rEfV2D/fdU5bvfWl96O2a7OAV7TNK3G0a6uewNlv+K0FHi1yzHq7fh3GfYTPbAfb79DCDEpSUAvhOiutcvt/wU+1zTtSqVUCvYRU3e65o9bcf/d4q6NctOuN+6WtVbYg6vrXTYqNbeffXV9jzpgSZcA//Q+FHC1pmm5g+hjd1373Nprq57v7fT9rs8Z6GelsI92b3DZaP/9ddXf70wBhzVNW9LL65x+fm+/7/68DvwU+AzYffqExg13n43b341SKrqXPnbt59kcc739Xtz1xd3zu1MDaKMDGjRNmzPAPgohJiHJoRdC9CUYKHXcvnUE9n8MSOsSbF7bS7svgPUASqmZ2FMYALYBy5RSUxyP+Smlpg5ivwAfAfeevqOUmuO4uQG4zxHYD+QkAewpHtc5bq8HNg/gOQDnK6XClFK+2CdEbnHT5gvs+el6pVQk9hHgHUAz9tSR0zYA9yiljI5+T1VK+Q+wH13lApFKqSWO/RiVUln9PKd7X3p9TNO0DkdfHwae6mOf1zpefznQ6LiqMJTfzWmbgcuUUj6O0e9L+mj7NaWUTimVDqRh/0y6660vvR2zXX0KfF0pFe5oF+bY7vysNE1rAgqUUl9ztFFKqdmOdltwPd6EEJOUBPRCiL78HviNUmoL9pSLYeUYFf8W8KFSajNQiT3XvruHgQBH2sIPsAeyaJpWjf1E40XHY9uA6YPYL8D9QI5jYuIR4G7H9v/FnmJ0QNknkw5k0uH92NNIDgA3Ad8ZwHPAHmQ+iz23+3XNXq2luzeBA8B+7KPaP9A0rcKxzeKYVPld7KksR4A9jn4/yhBG0DVNM2GvivM7pdR+R9/6q1r0Ofb0pX3qzKTd014C/tMxcTTdse157CPMH/Wxz3plL3/6CHC7Y9tQfjcAaJq2E3vu+X7saUO76P3YyAU2AR8AdztOQrrrrS9uj9lufTkM/ArY5PiM/+x4qPtntR643dHmMHB6gvZ3gG8rpXZiP/kWQkxSStPkap0QYuwopQI0TWtxjHA+BJzQNO0v43W/w00pdSv2yZL39td2onHknQdrmvbfo/y6p48NP+wj6XdqmranW5unsU+wHdHa/UIIMRwkh14IMda+qZS6BfuE1r3YR5TH837FMFBKvQmkY58YOtoeU/aFm3yAf3UP5oUQwtPICL0QQgghhBAeTHLohRBCCCGE8GAS0AshhBBCCOHBJKAXQgghhBDCg0lAL4QQQgghhAeTgF4IIYQQQggPJgG9EEIIIYQQHuz/Az96Efz/MIwrAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name='inverse_harmonic_mean_rank'\n", + "#metric_name='hits_at_10'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "#s_square = [n*n for n in props] \n", + "s_square = [n*n for n in num_unique_ents] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", + "plt.xscale('log')\n", + "#ax.legend(title='# unique entities')\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTRIBUTE} entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'(avg_{metric_name}_rotate) - (avg_{metric_name}_bioblpp) \\n Difference b/w both models in {metric_name} when predicting {ENTITY_TYPE_W_ATTRIBUTE} as {NODE_ENDPOINT_TO_PREDICT} node, Vs. {ENTITY_TYPE_W_ATTRIBUTE} node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{MODEL_ID_bioblpp}-{MODEL_ID_rotate}')" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "35b5c29e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name='inverse_harmonic_mean_rank'\n", + "#metric_name='hits_at_1'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "#s_square = [n*n for n in props] \n", + "s_square = [n*n for n in num_unique_ents] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", + "#plt.xscale('log')\n", + "#ax.legend(title='# unique entities')\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTRIBUTE} entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpp \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTRIBUTE} node of certain node (training) degree) b/w both models, Vs. {ENTITY_TYPE_W_ATTRIBUTE} node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "0dd7921e", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'cmap' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [87]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\u001b[39;00m\n\u001b[1;32m 16\u001b[0m norm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mNormalize(num_unique_ents\u001b[38;5;241m.\u001b[39mmin(), num_unique_ents\u001b[38;5;241m.\u001b[39mmax())\n\u001b[1;32m 17\u001b[0m cbar \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mcolorbar(plt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mScalarMappable(norm\u001b[38;5;241m=\u001b[39mnorm,\n\u001b[0;32m---> 18\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[43mcmap\u001b[49m),\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m#ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\u001b[39;00m\n\u001b[1;32m 20\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m# test_triples per unique disease\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 21\u001b[0m d\n\u001b[1;32m 22\u001b[0m plot_\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mset_major_locator(ticker\u001b[38;5;241m.\u001b[39mIndexLocator(\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m0\u001b[39m))\n", + "\u001b[0;31mNameError\u001b[0m: name 'cmap' is not defined" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name='inverse_harmonic_mean_rank'\n", + "#metric_name='hits_at_10'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['count']/merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "s_linear = [n*n for n in props] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=s_linear, sizes=(10,200), c=num_unique_ents, cmap='flare')\n", + "plt.xscale('log')\n", + "ax.legend(title='#(test triples)', labels = ['6', '45', '85', '124', '164', '204'])\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel('Training degree for Disease entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\n", + "\n", + "norm = plt.Normalize(num_unique_ents.min(), num_unique_ents.max())\n", + "cbar = ax.figure.colorbar(plt.cm.ScalarMappable(norm=norm,\n", + " cmap=cmap),\n", + " #ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\n", + " label=r'# test_triples per unique disease')\n", + "d\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpp \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTRIBUTE} node of certain node (training) degree) b/w both models, Vs. disease node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "f520e84c", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 187, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def colors_from_values(values, palette_name):\n", + " # normalize the values to range [0, 1]\n", + " normalized = (values - min(values)) / (max(values) - min(values))\n", + " # convert to indices\n", + " indices = np.round(normalized * (len(values) - 1)).astype(np.int32)\n", + " # use the indices to get the colors\n", + " palette = sns.color_palette(palette_name, len(values))\n", + " return np.array(palette).take(indices, axis=0)\n", + "plot, ax = plt.subplots(figsize=(20,20))\n", + "sns.barplot(ax=ax, x=degrees, y=metrics, palette=colors_from_values(props, \"flare\"))\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ed71892c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "ed983624", + "metadata": {}, + "source": [ + "### Plots V1 - Separate series plotted for BioBLP-D and RotatE" + ] + }, + { + "cell_type": "markdown", + "id": "75f44239", + "metadata": {}, + "source": [ + "load from file" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "dd184206", + "metadata": {}, + "outputs": [], + "source": [ + "ENTITY_TYPE_W_ATTRIBUTE = 'Protein'\n", + "MODEL_NAME_SLUG = BIOBLP_D\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "LOAD_FROM_FILE=False\n", + "if LOAD_FROM_FILE:\n", + " with open(eval_out_dir.joinpath('node-degree-eval-new.json'), 'r') as f:\n", + " results_by_node_degree_dicts_bioblpd = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "5d1ace4c", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "strftime() takes at least 1 argument (0 given)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[69], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mplot_metric_vs_degree_scatterplot_single_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmetric_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhits_at_1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mMODELS\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mROTATE\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mresults_by_node_degree_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresults_by_node_degree_dicts_rotate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mentity_type_examined\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mENTITY_TYPE_W_ATTRIBUTE\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[67], line 15\u001b[0m, in \u001b[0;36mplot_metric_vs_degree_scatterplot_single_model\u001b[0;34m(model_id, metric_name, results_by_node_degree_dict, figsize, entity_type_examined)\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mplot_metric_vs_degree_scatterplot_single_model\u001b[39m(model_id,\n\u001b[1;32m 10\u001b[0m metric_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhits_at_10\u001b[39m\u001b[38;5;124m'\u001b[39m, \n\u001b[1;32m 11\u001b[0m results_by_node_degree_dict\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 12\u001b[0m figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m7\u001b[39m,\u001b[38;5;241m7\u001b[39m),\n\u001b[1;32m 13\u001b[0m entity_type_examined\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 14\u001b[0m ):\n\u001b[0;32m---> 15\u001b[0m timestr \u001b[38;5;241m=\u001b[39m \u001b[43mtime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstrftime\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 16\u001b[0m degrees, metrics \u001b[38;5;241m=\u001b[39m extract_relevant_metrics(metric_name, results_by_node_degree_dict) \n\u001b[1;32m 17\u001b[0m plot, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(figsize\u001b[38;5;241m=\u001b[39mfigsize)\n", + "\u001b[0;31mTypeError\u001b[0m: strftime() takes at least 1 argument (0 given)" + ] + } + ], + "source": [ + "plot_metric_vs_degree_scatterplot_single_model(metric_name='hits_at_1',\n", + " model_id=MODELS.get(ROTATE),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "a5f9908d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_metric_vs_degree_scatterplot_single_model(metric_name='hits_at_10', \n", + " model_id=MODELS.get(BIOBLP_P),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", + " figsize=(6,6))" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "f4df56cd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "wandb version 0.13.10 is available! To upgrade, please run:\n", + " $ pip install wandb --upgrade" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.12.20" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230302_084743-1730mqbr" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run true-blaze-48 to Weights & Biases (docs)
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tags = {\"model_name\": MODEL_ID_bioblpp,\n", + " \"study_name\": 'node_degree_trend',\n", + " \"test_set_type\": TEST_RESTRICTED_DIS}\n", + "run = setup_wandb_result_tracker(**tags, project_name='bioblp-jupyter-trial', wandb_entity='discoverylab')" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "9117cfd8", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name = \"hits_at_1\"\n", + "degrees, metrics = extract_relevant_metrics(metric_name, results_by_node_degree_dicts_bioblpdx)\n", + "data = [[x, y] for (x, y) in zip(degrees, metrics)]\n", + "table = wandb.Table(data=data, columns = [\"degrees\", \"metrics\"])\n", + "wandb.log({f\"bioblpd-{metric_name}_node_degree\" : wandb.plot.scatter(table, \"degrees\", \"metrics\")})\n" + ] + }, + { + "cell_type": "markdown", + "id": "54195927", + "metadata": { + "tags": [] + }, + "source": [ + "#### RotatE" + ] + }, + { + "cell_type": "markdown", + "id": "87f2668a", + "metadata": {}, + "source": [ + "All plots below look quite similar!" + ] + }, + { + "cell_type": "markdown", + "id": "b29d8ef1", + "metadata": {}, + "source": [ + "load from file" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "ad4cb1dc", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "MODEL_NAME_SLUG = ROTATE\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "\n", + "with open(eval_out_dir.joinpath('node-degree-eval-new.json'), 'r') as f:\n", + " results_by_node_degree_dicts_rotate = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "320da113", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.eval_utils import plot_metric_vs_degree_scatterplot_multi_models\n" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "d408e663", + "metadata": {}, + "outputs": [], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "93fe5e2d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "metric_name='hits_at_1'\n", + "MODEL_ID_SLUG = BIOBLP_P\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODELS.get(MODEL_ID_SLUG),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n", + "#plt.savefig(f'data/imgs/{MODEL_ID}-{metric_name}-{ENTITY_TYPE_W_ATTRIBUTE}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "42e1109c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "metric_name='hits_at_10'\n", + "MODEL_ID_SLUG = BIOBLP_P\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODELS.get(MODEL_ID_SLUG),\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE)\n", + "#plt.savefig(f'data/imgs/{MODEL_ID}-{metric_name}-{ENTITY_TYPE_W_ATTRIBUTE}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "5daf587e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", + "MODEL_ID_SLUG = BIOBLP_P\n", + "metric_name=INVERSE_HARMONIC_MEAN_RANK\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODELS.get(MODEL_ID_SLUG),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "ae511626", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "metric_name='hits_at_10'\n", + "MODEL_ID_SLUG = ROTATE\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODELS.get(MODEL_ID_SLUG),\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE)\n", + "#plt.savefig(f'data/imgs/{MODEL_ID}-{metric_name}-{ENTITY_TYPE_W_ATTRIBUTE}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "7540b7c4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", + "MODEL_ID_SLUG = ROTATE\n", + "metric_name=INVERSE_HARMONIC_MEAN_RANK\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODELS.get(MODEL_ID_SLUG),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", + " )\n" + ] + }, + { + "cell_type": "markdown", + "id": "5fc0987c", + "metadata": { + "tags": [] + }, + "source": [ + "### combine into one graph" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "e3391ae1", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "img_outdir = Path('./data/imgs/')\n", + "def plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', \n", + " results_by_node_degree_dicts_combined=None,\n", + " img_outdir=img_outdir):\n", + " result_dfs = {}\n", + " for model_id, result_dict in results_by_node_degree_dicts_combined.items():\n", + " degrees, metrics = extract_relevant_metrics(metric_name, result_dict)\n", + " result_dfs[model_id] = pd.DataFrame(np.column_stack([degrees, metrics]), columns=['degree', 'metrics'], dtype=float)\n", + " model_ids = list(result_dfs.keys())\n", + " if len(model_ids)>2:\n", + " raise ValueError(\"This function currently handles results from 2 models. Amend logic to handle >2 models\")\n", + " \n", + " concatenated = pd.concat([result_dfs[model_ids[0]].assign(dataset=f'{model_ids[0]}'),\n", + " result_dfs[model_ids[1]].assign(dataset=f'{model_ids[1]}')])\n", + " plot, ax = plt.subplots(figsize=(10,10))\n", + " sns.scatterplot(ax=ax, data=concatenated, x='degree', y='metrics', hue='dataset', style='dataset')\n", + " plt.xscale('log')\n", + " plt.ylabel(metric_name)\n", + " plt.title(f'Average {metric_name} predicting disease nodes Vs. {ENTITY_TYPE_W_ATTRIBUTE} node degree | 2 Model Comparison')\n", + " #return degrees, metr ics\n", + " plt.savefig(img_outdir.joinpath(f\"{metric_name}_vs_node_degree_{model_ids[0]}_and_{model_ids[1]}.png\"))\n", + " return concatenated" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "85e0f673", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "model_result_dicts = {MODEL_ID_rotate: results_by_node_degree_dicts_rotate,\n", + " MODEL_ID_bioblpp: results_by_node_degree_dicts_bioblpp}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_1', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "89b6bd9d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "3cc06655", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='inverse_harmonic_mean_rank', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "2d3e22c4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wandb.login()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "894fc6f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.14.0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230324_173738-akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run cerulean-moon-114 to Weights & Biases (docs)
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View project at https://wandb.ai/discoverylab/bioblp-jupyter-trial" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View run at https://wandb.ai/discoverylab/bioblp-jupyter-trial/runs/akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tags = {\"model_name\": MODELS.get(BIOBLP_P),\n", + " \"study_name\": 'node_degree_trends_both_models_combined',\n", + " \"test_set_type\": TEST_RESTRICTED_PROT}\n", + "run = setup_wandb_result_tracker(**tags, \n", + " notes=f'combined lp results for {MODELS.get(BIOBLP_P)} and {MODELS.get(ROTATE)}', \n", + " project_name='bioblp-jupyter-trial',\n", + " wandb_entity='discoverylab')" + ] + }, + { + "cell_type": "markdown", + "id": "00b54157", + "metadata": {}, + "source": [ + "Save custom plots to Weights and biases" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "8f8b1a91", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20230324-173105-hits_at_1_node_degree_analysis-rotate-otxtubeb-20230324-173105.png\n", + "20230324-173137-hits_at_10_node_degree_analysis-rotate-otxtubeb-20230324-173137.png\n", + "20230324-173248-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-20230324-173248.png\n", + "20230324-173341-hits_at_1_node_degree_analysis-bioblpp-cttc3ucm-20230324-173341.png\n", + "20230324-173404-hits_at_10_node_degree_analysis-bioblpp-cttc3ucm-20230324-173404.png\n", + "20230324-173426-inverse_harmonic_mean_rank_node_degree_analysis-bioblpp-cttc3ucm-20230324-173426.png\n", + "20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n" + ] + } + ], + "source": [ + "!ls {EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "c659f3a7", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_1_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "#degree_analysis_hits_at_10_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "degree_analysis_mrr_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "\n", + "wandb.log({\"hits@1_combined_bioblpd_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_and_bioblpp_path)})\n", + "wandb.log({\"hits@10_combined_bioblpd_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_and_bioblpp_path)})\n", + "wandb.log({\"mrr_combined_bioblpd_rotate\": wandb.Image(degree_analysis_mrr_rotate_and_bioblpp_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0ebb255b", + "metadata": {}, + "outputs": [], + "source": [ + "todo - change for bioblpp -> add the new diff plots!\n", + "todo - compare micro averages to sanity check" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "3000dd82", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_10_bioblpd_path = \"./data/imgs/node_analysis_hits_at_10_bioblpd.png\"\n", + "#degree_analysis_hits_at_1_bioblpd_path = \"./data/imgs/node_analysis_hits_at_1_bioblpd.png\"\n", + "\n", + "#wandb.log({\"hits@10_bioblpd\": wandb.Image(degree_analysis_hits_at_10_bioblpd_path)})\n", + "#wandb.log({\"hits@1_bioblpd\": wandb.Image(degree_analysis_hits_at_1_bioblpd_path)})" + ] + }, + { + "cell_type": "markdown", + "id": "f91c7732", + "metadata": {}, + "source": [ + "## " + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "e23efca4", + "metadata": {}, + "outputs": [], + "source": [ + "test_entity_split_by_disease_descr_path = \"./data/imgs/eval_split_entity_view.png\"\n", + "test_triples_split_by_disease_descr_path = \"./data/imgs/eval_split_triples_view.png\"\n", + "wandb.log({\"Split test set entities conditioned on entity having properties with text modality\": wandb.Image(test_entity_split_by_disease_descr_path)})\n", + "wandb.log({\"Split test set triples conditioned on having node entities with properties of text modality\": wandb.Image(test_triples_split_by_disease_descr_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "id": "d2291af3", + "metadata": {}, + "outputs": [], + "source": [ + "degree_analysis_hits_at_10_rotate_path = \"./data/imgs/node_analysis_hits_at_10_rotate.png\"\n", + "degree_analysis_hits_at_1_rotate_path = \"./data/imgs/node_analysis_hits_at_1_rotate.png\"\n", + "\n", + "wandb.log({\"hits@10_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_path)})\n", + "wandb.log({\"hits@1_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd80967e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cbe993ab", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "6388b6d7", + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, + "source": [ + "## archived" + ] + }, + { + "cell_type": "markdown", + "id": "1a8ef226", + "metadata": {}, + "source": [ + "### previous stuff" + ] + }, + { + "cell_type": "markdown", + "id": "96f5bfba", + "metadata": {}, + "source": [ + "How do MRR, H@k, and AMR correlate?" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "b02936ea", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def plot_metric_pair(results_df, metric_1: str, metric_2: str):\n", + " \"\"\"Make a scatter plot with one link prediction metric in each axis.\"\"\"\n", + " plt.figure()\n", + " plt.scatter(results_df[metric_1], results_df[metric_2])\n", + " plt.xlabel(metric_1)\n", + " plt.ylabel(metric_2)\n", + "\n", + "plot_metric_pair(results_df, 'mean_reciprocal_rank', 'hits_at_10')\n", + "plot_metric_pair(results_df, 'mean_reciprocal_rank', 'adjusted_mean_rank')\n", + "plot_metric_pair(results_df, 'mean_reciprocal_rank', 'Count')" + ] + }, + { + "cell_type": "markdown", + "id": "40233f42", + "metadata": {}, + "source": [ + "What are the relations where the model performs better?" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "878e5429", + "metadata": {}, + "outputs": [], + "source": [ + "def per_relation_plot(results_df, metric: str):\n", + " \"\"\"Make a bar plot of link prediction performance for each relation.\"\"\"\n", + " results_df[['Relation', metric]].sort_values(by=metric).plot.barh(x='Relation', figsize=(5, 5), grid=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "9ed1dc24", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "per_relation_plot(results_df, 'hits_at_10')" + ] + }, + { + "cell_type": "markdown", + "id": "37396113", + "metadata": {}, + "source": [ + "### Evaluating over specific entity and relation types\n", + "The source csv files contain the triples, plus extra information like the types of the entities involved in the triple. We will extract the type information." + ] + }, + { + "cell_type": "markdown", + "id": "2568226c", + "metadata": {}, + "source": [ + "We can see that restricting predictions over the correct domain and range of a relation only slightly increases the results." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "21979430", + "metadata": {}, + "outputs": [], + "source": [ + "can you do an. analysis on degree....\n", + "compare rotate to this" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f0e48027", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bioblp-env", + "language": "python", + "name": "bioblp-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb new file mode 100644 index 0000000..fcace69 --- /dev/null +++ b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb @@ -0,0 +1,5154 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "25917740", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "markdown", + "id": "ce8c87d9", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "829d6165", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/jovyan/.conda/envs/bioblp-env/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import json\n", + "from IPython.display import Image\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "import seaborn as sns\n", + "import time\n", + "from tqdm import tqdm\n", + "from typing import List\n", + "#from typing import Union\n", + "\n", + "from pykeen.evaluation import RankBasedEvaluator\n", + "from pykeen.triples import TriplesFactory\n", + "import toml\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "640aadcb", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import TEST, VALID, TRAIN, DUMMY\n", + "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, EVAL_METRICS_SHORTLIST\n", + "from nb_utils.eval_utils import COL_SOURCE, COL_TARGET, COL_EDGE, COL_NODE, DEGREE, IN_DEGREE, OUT_DEGREE\n", + "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", + "from nb_utils.eval_utils import setup_wandb_result_tracker, run_experiment_and_log_wandb\n", + "#from nb_utils.eval_utils import make_results_dict_all_rel, make_results_dict_rel_breakdown\n", + "from nb_utils.eval_utils import compute_node_degrees_in_out\n", + "from nb_utils.eval_utils import load_kge_model\n", + "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", + "from nb_utils.eval_utils import make_results_dict_all_rel\n", + "\n", + "\n", + "from nb_utils.config import ARTIFACT_REGISTRY_TOML_PATH, EntityType\n", + "from nb_utils.config import load_toml, ModelRegistryConfig, EvaluationConfig\n", + "from nb_utils.config import GraphRegistryConfig, EntityType\n", + "from nb_utils.config import PROTEIN, DRUG, DISEASE\n", + "from nb_utils.eval_utils import ENT_ASSOC_REL_NAMES, EVAL_METRIC_REALISTIC, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", + "from nb_utils.eval_utils import PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n" + ] + }, + { + "cell_type": "markdown", + "id": "f3475486", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cdcb4706", + "metadata": {}, + "outputs": [], + "source": [ + "ROTATE = \"rotate-otxtubeb\"\n", + "BIOBLP_D = \"bioblpd-38uz9fjs\" \n", + "BIOBLP_P = \"bioblpp-cttc3ucm\"\n", + "BIOBLP_M = \"bioblpm-5rxz3k57\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e674929c", + "metadata": {}, + "outputs": [], + "source": [ + "toml_path = ARTIFACT_REGISTRY_TOML_PATH\n", + "model_reg_cfg = ModelRegistryConfig.from_toml(toml_path)\n", + "model_registry_paths = model_reg_cfg.registered_model_paths\n", + "model_training_paths = model_reg_cfg.registered_model_training_triples_paths" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "910e479b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "GraphRegistryConfig(biokgb_data_splits={'train': PosixPath('../data/biokgb/graph/biokg.links-train.csv'), 'valid': PosixPath('../data/biokgb/graph/biokg.links-valid.csv'), 'test': PosixPath('../data/biokgb/graph/biokg.links-test.csv'), 'dummy': PosixPath('../data/biokgb/graph/biokg.links-dummy.csv')}, biokgb_entity_type_metadata_paths={'disease': PosixPath('../data/biokgb/properties/biokg.metadata.disease.tsv'), 'protein': PosixPath('../data/biokgb/properties/biokg.metadata.protein.tsv'), 'drug': PosixPath('../data/biokgb/properties/biokg.metadata.drug.tsv'), 'pathway': PosixPath('../data/biokgb/properties/biokg.metadata.pathway.tsv'), 'genetic_disorder': PosixPath('../data/biokgb/properties/biokg.metadata.genetic_disorder.tsv')}, biokgb_entity_attribute_paths={'disease': PosixPath('../data/biokgb/properties/biokg_meshid_to_descr_name.tsv'), 'protein': PosixPath('../data/biokgb/properties/protein_embeddings_full_24_12_protid_idx_mapping.json'), 'drug': PosixPath('../data/biokgb/properties/biokg_molecule_embeddings_idx_mapping.json')})" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "graph_cfg = GraphRegistryConfig.from_toml(ARTIFACT_REGISTRY_TOML_PATH)\n", + "graph_cfg" + ] + }, + { + "cell_type": "markdown", + "id": "aee98323", + "metadata": { + "tags": [] + }, + "source": [ + "## SET CONFIG" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "83887b6e", + "metadata": {}, + "outputs": [], + "source": [ + "MODEL_ID = ROTATE \n", + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG # DRUG #EntityType{Protein}.value" + ] + }, + { + "cell_type": "markdown", + "id": "da6c39b8", + "metadata": {}, + "source": [ + "### load triples data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "e7bd02c3", + "metadata": {}, + "outputs": [], + "source": [ + "# load training splits\n", + "train = TriplesFactory.from_path_binary(model_training_paths[MODEL_ID])\n", + "\n", + "\n", + "valid, test, dummy = [TriplesFactory.from_path(f,\n", + " entity_to_id=train.entity_to_id,\n", + " relation_to_id=train.relation_to_id)\n", + " for f in (map(graph_cfg.biokgb_data_splits.get, [VALID, TEST, DUMMY]))]\n" + ] + }, + { + "cell_type": "markdown", + "id": "6c55de74", + "metadata": {}, + "source": [ + "creating a dummy set of triples for unit testing purposes" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "91e0d04f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "dummy_triples_path = graph_cfg.biokgb_data_splits[DUMMY]\n", + "if not dummy_triples_path.exists:\n", + " print(f'Slicing test triples to create a batch of dummy triples and saving to {str(dummy_triples_path)}')\n", + " dummy_df = pd.read_csv(graph_path.joinpath(test_triples), sep=\"\\t\", header=None)[:50]\n", + " dummy_df.to_csv(dummy_triples_path, sep=\"\\t\", index=None, header=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "912fa1fe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'COMPLEX_IN_PATHWAY': 0,\n", + " 'COMPLEX_TOP_LEVEL_PATHWAY': 1,\n", + " 'DDI': 2,\n", + " 'DISEASE_GENETIC_DISORDER': 3,\n", + " 'DISEASE_PATHWAY_ASSOCIATION': 4,\n", + " 'DPI': 5,\n", + " 'DRUG_CARRIER': 6,\n", + " 'DRUG_DISEASE_ASSOCIATION': 7,\n", + " 'DRUG_ENZYME': 8,\n", + " 'DRUG_PATHWAY_ASSOCIATION': 9,\n", + " 'DRUG_TARGET': 10,\n", + " 'DRUG_TRANSPORTER': 11,\n", + " 'MEMBER_OF_COMPLEX': 12,\n", + " 'PPI': 13,\n", + " 'PROTEIN_DISEASE_ASSOCIATION': 14,\n", + " 'PROTEIN_PATHWAY_ASSOCIATION': 15,\n", + " 'RELATED_GENETIC_DISORDER': 16}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.relation_to_id\n" + ] + }, + { + "cell_type": "markdown", + "id": "e3ac96ad", + "metadata": {}, + "source": [ + "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "2c606291", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": { + "image/png": { + "width": 500 + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import Image\n", + "Image('data/imgs/eval_split_entity_view.png', width=500)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "db110b78", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": { + "image/png": { + "width": 450 + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "# The figure below demonstrates how we obtain the various test sets\n", + "Image('data/imgs/eval_split_triples_view.png', width=450)" + ] + }, + { + "cell_type": "markdown", + "id": "f9187545", + "metadata": {}, + "source": [ + "load molecules " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0e2bbe4d", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# drug entities in larger biokg (pre-benchmark removal): 13580\n", + "# drug entities for which we have attributes: 10815\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + } + ], + "source": [ + "test_triples_incl_ent_prop, test_triples_excl_ent_prop = create_entity_attr_aware_test_sets(entity_type_w_attribute=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " graph_cfg=graph_cfg,\n", + " train=train,\n", + " test=test)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8cdc1648", + "metadata": {}, + "outputs": [], + "source": [ + "test_rel_list_validity(ENT_ASSOC_REL_NAMES[PROTEIN][COL_TARGET], train)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "25bcf445", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# triples originally in test: 185227, valid: 185226\n", + "# test triples with drug nodes: 123636\n", + "# test triples without drug nodes: 61591\n" + ] + } + ], + "source": [ + "# create set of triples\n", + "print(f\"# triples originally in test: {test.num_triples}, valid: {valid.num_triples}\")\n", + "print(f\"# test triples with {ENTITY_TYPE_W_ATTR_ENCODE} nodes: {test_triples_incl_ent_prop.num_triples}\")\n", + "print(f\"# test triples without {ENTITY_TYPE_W_ATTR_ENCODE} nodes: {test_triples_excl_ent_prop.num_triples}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "74cd7fa3", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import TEST, TRAIN, VALID, DUMMY, TEST_EXCLUDING_ENT, TEST_RESTRICTED_ENT\n", + "triples_dict = {\n", + " TEST: test,\n", + " VALID: valid,\n", + " TRAIN: train,\n", + " TEST_RESTRICTED_ENT: test_triples_incl_ent_prop,\n", + " TEST_EXCLUDING_ENT: test_triples_excl_ent_prop,\n", + " DUMMY: dummy, \n", + "}\n", + "\n", + "TEST_SET_LIST = [TEST_RESTRICTED_ENT, TEST, VALID] # TEST_EXCLUDING_ENT\n" + ] + }, + { + "cell_type": "markdown", + "id": "7c808015", + "metadata": {}, + "source": [ + "# Evaluation" + ] + }, + { + "cell_type": "markdown", + "id": "dda20a07", + "metadata": {}, + "source": [ + "wandb logging" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "403a46be", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Failed to detect the name of this notebook, you can set it manually with the WANDB_NOTEBOOK_NAME environment variable to enable code saving.\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mpmitra01\u001b[0m (\u001b[33mdiscoverylab\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n" + ] + } + ], + "source": [ + "import wandb\n", + "wandb.login()\n", + "\n", + "WANDB_ENTITY_DISCOVERYLAB = \"discoverylab\"\n", + "WANDB_PROJECT_NAME = \"bioblp-jupyter-eval\"\n" + ] + }, + { + "cell_type": "markdown", + "id": "a1e9207a", + "metadata": {}, + "source": [ + "sanity check logic for experiment run with wandb logging" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "ad9ede51", + "metadata": {}, + "outputs": [], + "source": [ + "def trial_func(x=1, y=2):\n", + " print(x*y)\n", + " return {'x': x, 'y':y}\n", + "\n", + "#trial_func_kwargs = {\"x\": 1, \"y\": 2} \n", + "#metrics = run_experiment('dummy-run', TEST, BIOBLP_D, trial_func, **trial_func_kwargs) " + ] + }, + { + "cell_type": "markdown", + "id": "16c44e90", + "metadata": {}, + "source": [ + "Triples with protein as src entity far outnumber triples with protein as tail entity. \n" + ] + }, + { + "cell_type": "markdown", + "id": "47db5aa4", + "metadata": {}, + "source": [ + "### average performance predicting the node which has an entity degree of x\n", + "\n", + "Let's focus only relation types where proteins are the source, as these have more support in the train/test sets" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "ded82ee2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Restricting analysis to relations where we predict 'drug' as 'src'\n" + ] + } + ], + "source": [ + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "print(f\"Restricting analysis to relations where we predict '{ENTITY_TYPE_W_ATTR_ENCODE}' as '{NODE_ENDPOINT_TO_PREDICT}'\")" + ] + }, + { + "cell_type": "markdown", + "id": "ad67eff3", + "metadata": { + "tags": [] + }, + "source": [ + "### preliminary analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "2ed7b16a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n", + "x = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "\n", + "test_triples_ent_w_attr_df = x.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: x._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "980d8ae6", + "metadata": {}, + "outputs": [], + "source": [ + "triples_by_node_endpoint = {node_endpoint: len(test_triples_by_node_endpoint_to_predict[node_endpoint]) for node_endpoint in [COL_SOURCE, COL_TARGET]}" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "a17b6f2d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'src': 123636, 'tgt': 0}" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# we see the count of triples where the {ENTITY_TYPE_W_ATTR_ENCODE} occurs as the head/src vs tail/tgt\n", + "triples_by_node_endpoint" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "c8f7f737", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "We have 123636, or 123636.0% more test triples with drug occuring in source position than in tail position\n" + ] + } + ], + "source": [ + "print(f\"We have {triples_by_node_endpoint[COL_SOURCE]-triples_by_node_endpoint[COL_TARGET]}, or {(triples_by_node_endpoint[COL_SOURCE])/(triples_by_node_endpoint[COL_TARGET]*100+1)}% more test triples with {ENTITY_TYPE_W_ATTR_ENCODE} occuring in source position than in tail position\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "8908d77e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 123636.000000\n", + "mean 870.812999\n", + "std 376.021629\n", + "min 1.000000\n", + "25% 610.000000\n", + "50% 859.000000\n", + "75% 1132.000000\n", + "max 1942.000000\n", + "Name: src_training_degree, dtype: float64" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rels_w_prot_as_src = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_SOURCE]\n", + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_src)][f'{COL_SOURCE}_training_degree'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "e2485c5d", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: tgt_training_degree, dtype: float64" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rels_w_prot_as_tgt = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_TARGET]\n", + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_tgt)][f'{COL_TARGET}_training_degree'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "84993897", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# drug entities in larger biokg (pre-benchmark removal): 13580\n", + "# drug entities for which we have attributes: 10815\n" + ] + } + ], + "source": [ + "dummy_test_inc_attr, _ = create_entity_attr_aware_test_sets(entity_type_w_attribute=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " graph_cfg=graph_cfg,\n", + " train=train,\n", + " test=dummy)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "8ff61bb3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# unique entities of type drug of training degree 1 in associated triples where it occurs in position src: 295\n" + ] + } + ], + "source": [ + "#for drugs\n", + "from nb_utils.eval_utils import get_unique_endpoint_entities_in_testset_of_given_degree\n", + "\n", + "DEGREE = 1\n", + "unique_drug_src_ents_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=DEGREE, node_endpoint_type=COL_SOURCE)\n", + "print(f\"# unique entities of type {ENTITY_TYPE_W_ATTR_ENCODE} of training degree {DEGREE} in associated triples where it occurs in position {NODE_ENDPOINT_TO_PREDICT}: {len(unique_drug_src_ents_in_test)}\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "d255ce87", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "578" + ] + }, + "execution_count": 185, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## for proteins\n", + "# todo: fix error prone naming of data variables that reflect the input parameters better. E.g.: unique_drug_src_ents_in_test should reflect unique_{ENTITY_TYPE_W_ATTR_ENCODE}_{NODE_ENDPOINT_TO_PREDICT}_ents_in_test\n", + "unique_protein_tail_ents_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=1, node_endpoint_type=COL_SOURCE)\n", + "len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=1, node_endpoint_type=NODE_ENDPOINT_TO_PREDICT))" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "c0987d45", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_prot_as_src = test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT]\n", + "prot_degrees = test_triples_prot_as_src.groupby(['src_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=prot_degrees, x='src_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "#plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "ddb34bb3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_prot_as_tgt = test_triples_by_node_endpoint_to_predict[COL_TARGET]\n", + "prot_degrees = test_triples_prot_as_tgt.groupby(['tgt_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=prot_degrees, x='tgt_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "#plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "9cb7e7eb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot, ax = plt.subplots(1, 2, figsize=(10,10))\n", + "sns.boxplot(ax=ax[0], y=test_triples_prot_as_src['src_training_degree'])\n", + "sns.boxplot(ax=ax[1], y=test_triples_prot_as_tgt['tgt_training_degree'])" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "2e0ffcbd", + "metadata": {}, + "outputs": [], + "source": [ + "from pykeen.triples.triples_factory import TriplesFactory\n", + "train_triples=triples_dict.get(TRAIN)\n", + "valid_triples=triples_dict[VALID]" + ] + }, + { + "cell_type": "markdown", + "id": "a6c88764", + "metadata": {}, + "source": [ + "### define plotting logic" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "cd7f257e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n" + ] + }, + { + "cell_type": "markdown", + "id": "38bbc70b", + "metadata": {}, + "source": [ + "### TODO - the eval_node_head and endpoint_type is a bit bug-prone inside the writing function. DRY it\n", + "#### predict on bioblp-m - drug\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "cf591873", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "'NoneType' object has no attribute 'registered_model_paths'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[44], line 7\u001b[0m\n\u001b[1;32m 5\u001b[0m eval_out_dir \u001b[38;5;241m=\u001b[39m Path(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./metrics/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMODEL_ID\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 6\u001b[0m x \u001b[38;5;241m=\u001b[39m NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n\u001b[0;32m----> 7\u001b[0m results_by_node_degree_dicts_bioblpm \u001b[38;5;241m=\u001b[39m \u001b[43mx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mevaluate_and_format\u001b[49m\u001b[43m(\u001b[49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mENTITY_TYPE_W_ATTR_ENCODE\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mnode_endpoint_to_predict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mCOL_SOURCE\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdummy_test_inc_attr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_set_slug\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mTEST_RESTRICTED_ENT\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mMODEL_ID\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 12\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtriples_dict\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mTRAIN\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtriples_dict\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mVALID\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_reg_cfg\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 15\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_out_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m./metrics\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 16\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_triple_endpoint_list\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mEVAL_NODE_HEAD\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 17\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_metric_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mEVAL_METRIC_REALISTIC\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 18\u001b[0m \u001b[43m \u001b[49m\u001b[43mwrite_results_to_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\n\u001b[1;32m 19\u001b[0m \u001b[43m \u001b[49m\n\u001b[1;32m 20\u001b[0m \u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/BioBLP/notebooks/nb_utils/eval_utils.py:528\u001b[0m, in \u001b[0;36mNodeDegreeEvalAnalyser.evaluate_and_format\u001b[0;34m(self, entity_type_to_predict, node_endpoint_to_predict, test_triples, model_id, train_triples, valid_triples, model_registry_cfg, test_set_slug, eval_triple_endpoint_list, eval_metric_type, eval_out_dir, write_results_to_file)\u001b[0m\n\u001b[1;32m 514\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mevaluate_and_format\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 515\u001b[0m entity_type_to_predict,\n\u001b[1;32m 516\u001b[0m node_endpoint_to_predict, \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 526\u001b[0m write_results_to_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 527\u001b[0m ):\n\u001b[0;32m--> 528\u001b[0m results_by_node_degree \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mevaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 529\u001b[0m \u001b[43m \u001b[49m\u001b[43mnode_endpoint_to_predict\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 530\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_triples\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 531\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 532\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_triples\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 533\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid_triples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 534\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 535\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_set_slug\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mTEST\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 537\u001b[0m results_by_node_degree_dicts \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mformat_eval_results(results_by_node_degree, \n\u001b[1;32m 538\u001b[0m eval_triple_endpoint_list\u001b[38;5;241m=\u001b[39meval_triple_endpoint_list, \n\u001b[1;32m 539\u001b[0m eval_metric_type\u001b[38;5;241m=\u001b[39meval_metric_type)\n\u001b[1;32m 540\u001b[0m \u001b[38;5;66;03m# self.report.results_dict = results_by_node_degree_dicts\u001b[39;00m\n", + "File \u001b[0;32m~/BioBLP/notebooks/nb_utils/eval_utils.py:485\u001b[0m, in \u001b[0;36mNodeDegreeEvalAnalyser.evaluate\u001b[0;34m(self, entity_type_to_predict, node_endpoint_to_predict, test_triples, model_id, train_triples, valid_triples, model_registry_cfg, test_set_slug)\u001b[0m\n\u001b[1;32m 480\u001b[0m test_triples_with_degree_df \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprep_test_data(test_triples)\n\u001b[1;32m 481\u001b[0m test_triples_with_degree_subset_df \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_test_df_subset_given_node_endpoint_type_to_predict(test_df \u001b[38;5;241m=\u001b[39m test_triples_with_degree_df, \n\u001b[1;32m 482\u001b[0m entity_type_to_predict\u001b[38;5;241m=\u001b[39mentity_type_to_predict,\n\u001b[1;32m 483\u001b[0m node_endpoint_to_predict \u001b[38;5;241m=\u001b[39m node_endpoint_to_predict)\n\u001b[0;32m--> 485\u001b[0m results_by_node_degree \u001b[38;5;241m=\u001b[39m \u001b[43mcompute_metrics_over_triples_with_ent_node_endpoint\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 486\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_triples_w_node_degree_df\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtest_triples_with_degree_subset_df\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 487\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_set_slug\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtest_set_slug\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 488\u001b[0m \u001b[43m \u001b[49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 489\u001b[0m \u001b[43m \u001b[49m\u001b[43mnode_endpoint_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnode_endpoint_to_predict\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 490\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrain_triples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 491\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalid_triples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 492\u001b[0m \u001b[43m \u001b[49m\u001b[43mrels_assoc_by_node_endpoint_type_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrels_assoc_by_node_endpoint_type_dict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 493\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 496\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m results_by_node_degree\n", + "File \u001b[0;32m~/BioBLP/notebooks/nb_utils/eval_utils.py:637\u001b[0m, in \u001b[0;36mcompute_metrics_over_triples_with_ent_node_endpoint\u001b[0;34m(model_id, test_triples_w_node_degree_df, test_set_slug, node_endpoint_type, train_triples, valid_triples, entity_type_to_predict, rels_assoc_by_node_endpoint_type_dict, model_registry_cfg)\u001b[0m\n\u001b[1;32m 635\u001b[0m col_node_degree \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnode_endpoint_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_training_degree\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;66;03m# if predicting head, this should be the 'src_training_degree'\u001b[39;00m\n\u001b[1;32m 636\u001b[0m evaluator \u001b[38;5;241m=\u001b[39m RankBasedEvaluator(filtered\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m--> 637\u001b[0m model_base_path \u001b[38;5;241m=\u001b[39m \u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mregistered_model_paths\u001b[49m\u001b[38;5;241m.\u001b[39mget(model_id)\n\u001b[1;32m 638\u001b[0m model \u001b[38;5;241m=\u001b[39m load_kge_model(model_base_path\u001b[38;5;241m=\u001b[39mmodel_base_path)\n\u001b[1;32m 639\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mloaded model from \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(model_base_path)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'registered_model_paths'" + ] + } + ], + "source": [ + "test_set_ = test #dummy_test_inc_attr\n", + "MODEL_ID = BIOBLP_M\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpm = x.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=dummy_test_inc_attr, \n", + " test_set_slug=TEST_RESTRICTED_ENT,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_triple_endpoint_list=EVAL_NODE_HEAD,\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + " \n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "acc32cfe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{419.0: {'Relation': 'All',\n", 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0.0,\n", + " 'inverse_harmonic_mean_rank': 0.00390625},\n", + " 816.0: {'Relation': 'All',\n", + " 'Count': 2,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.001740642241202295},\n", + " 957.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.008695651777088642},\n", + " 1038.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.001497006043791771},\n", + " 903.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.05000000074505806},\n", + " 722.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + 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'inverse_harmonic_mean_rank': 0.0066225165501236916},\n", + " 606.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.021739130839705467},\n", + " 830.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.011627906933426857},\n", + " 1044.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0004570384044200182},\n", + " 615.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.015384615398943424},\n", + " 332.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.00021030494826845827},\n", + " 969.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0023752970155328512},\n", + " 736.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0038910505827516317},\n", + " 1135.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.001251564477570355},\n", + " 1036.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0015082956524565816},\n", + " 1387.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.00028851701063103974},\n", + " 1024.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.003267973894253373},\n", + " 831.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.014705882407724857},\n", + " 565.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0181818176060915},\n", + " 327.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0004868549294769764},\n", + " 582.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.07692307978868484},\n", + " 747.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.013888888992369175},\n", + " 893.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.02631578966975212},\n", + " 1116.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0042553190141916275},\n", + " 111.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 1.0,\n", + " 'hits_at_3': 1.0,\n", + " 'hits_at_5': 1.0,\n", + " 'hits_at_10': 1.0,\n", + " 'inverse_harmonic_mean_rank': 1.0},\n", + " 657.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.004385964944958687}}" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results_by_node_degree_dicts_bioblpm" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "042e2559", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpm-5rxz3k57\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1170/1170 [7:48:53<00:00, 24.05s/it] \n" + ] + } + ], + "source": [ + "test_set_ = test #dummy_test_inc_attr\n", + "MODEL_ID = BIOBLP_M\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpm = x.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", + " test_set_slug=TEST_RESTRICTED_ENT,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_triple_endpoint=EVAL_NODE_HEAD,\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + " \n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "d50903b2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "0dd6856f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing results to metrics/bioblpm-5rxz3k57/20230417-074027/node-degree-eval.json\n" + ] + } + ], + "source": [ + "WRITE_TO_FILE=True\n", + "MODEL_ID = BIOBLP_M\n", + "\n", + "if WRITE_TO_FILE:\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + " eval_out_dir = eval_out_dir.joinpath(timestr)\n", + " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", + " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", + " print(f\"Writing results to {str(eval_out_file)}\")\n", + " with open(eval_out_file, \"w+\") as f:\n", + " json.dump(results_by_node_degree_dicts_bioblpm, f)" + ] + }, + { + "cell_type": "markdown", + "id": "f26fc5d2", + "metadata": {}, + "source": [ + "#### predict with rotate - drug" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "2ccba5f1", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 38/38 [08:20<00:00, 13.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing results to metrics/rotate-otxtubeb/20230417-214944/node-degree-eval.json\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "MODEL_ID = ROTATE\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_rdummy = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[DUMMY], \n", + " test_set_slug=DUMMY,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_triple_endpoint=EVAL_NODE_HEAD,\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "93f965ff", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1170/1170 [7:36:25<00:00, 23.41s/it] \n" + ] + } + ], + "source": [ + "MODEL_ID = ROTATE\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_rotate_drug = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", + " test_set_slug=TEST_RESTRICTED_ENT,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_triple_endpoint=EVAL_NODE_HEAD,\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "dda8543f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing results to metrics/rotate-otxtubeb/20230417-164617/node-degree-eval.json\n" + ] + } + ], + "source": [ + "WRITE_TO_FILE=True\n", + "MODEL_ID = ROTATE\n", + "\n", + "if WRITE_TO_FILE:\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + " eval_out_dir = eval_out_dir.joinpath(timestr)\n", + " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", + " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", + " print(f\"Writing results to {str(eval_out_file)}\")\n", + " with open(eval_out_file, \"w+\") as f:\n", + " json.dump(results_by_node_degree_dicts_rotate, f)" + ] + }, + { + "cell_type": "markdown", + "id": "dfbed71d", + "metadata": { + "tags": [] + }, + "source": [ + "#### predict on bioblp-p" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "a9bd814c", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true, + "source_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpp-cttc3ucm\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 256/256 [1:17:47<00:00, 18.23s/it]\n" + ] + } + ], + "source": [ + "test_set_ = test #dummy_test_inc_attr\n", + "MODEL_ID = BIOBLP_P\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_dict = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", + " test_set_slug=TEST_RESTRICTED_ENT,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg\n", + ")\n", + "\n", + "results_by_node_degree_dicts_bioblpp = x.format_eval_results(results_dict, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "42a313d4", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true, + "source_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{67.0: {'Relation': 'All',\n", + " 'Count': 288,\n", + " 'hits_at_1': 0.03819444444444445,\n", + " 'hits_at_3': 0.10416666666666667,\n", + " 'hits_at_5': 0.1736111111111111,\n", + " 'hits_at_10': 0.2326388888888889,\n", + " 'inverse_harmonic_mean_rank': 0.10360517766740586},\n", + " 61.0: {'Relation': 'All',\n", + " 'Count': 257,\n", + " 'hits_at_1': 0.042801556420233464,\n", + " 'hits_at_3': 0.0933852140077821,\n", + " 'hits_at_5': 0.14785992217898833,\n", + " 'hits_at_10': 0.19455252918287938,\n", + " 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{'Relation': 'All',\n", + " 'Count': 19,\n", + " 'hits_at_1': 0.2631578947368421,\n", + " 'hits_at_3': 0.42105263157894735,\n", + " 'hits_at_5': 0.5263157894736842,\n", + " 'hits_at_10': 0.5789473684210527,\n", + " 'inverse_harmonic_mean_rank': 0.37122605976305506},\n", + " 206.0: {'Relation': 'All',\n", + " 'Count': 1,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.03333333507180214},\n", + " 234.0: {'Relation': 'All',\n", + " 'Count': 17,\n", + " 'hits_at_1': 0.5882352941176471,\n", + " 'hits_at_3': 0.7058823529411765,\n", + " 'hits_at_5': 0.7647058823529411,\n", + " 'hits_at_10': 0.7647058823529411,\n", + " 'inverse_harmonic_mean_rank': 0.6459387610940373}}" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results_by_node_degree_dicts_bioblpp" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1285e521", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 133/256 [47:55<27:57, 13.64s/it] " + ] + } + ], + "source": [ + "test_set_ = test #dummy_test_inc_attr\n", + "MODEL_ID = ROTATE\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_dict = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", + " test_set_slug=TEST_RESTRICTED_ENT,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg\n", + ")\n", + "results_by_node_degree_dicts_rotate = x.format_eval_results(results_dict, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "7965750b", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true, + "source_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing results to metrics/bioblpp-cttc3ucm/20230407-054922/node-degree-eval.json\n" + ] + } + ], + "source": [ + "\n", + "WRITE_TO_FILE=True\n", + "if WRITE_TO_FILE:\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + " eval_out_dir = eval_out_dir.joinpath(timestr)\n", + " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", + " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", + " print(f\"Writing results to {str(eval_out_file)}\")\n", + " with open(eval_out_file, \"w+\") as f:\n", + " json.dump(results_by_node_degree_dicts_bioblpp, f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "68662d34", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "1157ad23", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "### predict on rotate" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "id": "0d4c692c", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 253/253 [1:05:45<00:00, 15.59s/it]\n" + ] + } + ], + "source": [ + "MODEL_ID = ROTATE\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_rotate_prot = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", + " test_set_slug=TEST_RESTRICTED_ENT,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6f4aea03", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "results_by_node_degree_dicts_rotate = {}\n", + "for result in results_by_node_degree_rotate:\n", + " results_by_node_degree_dicts_rotate[result['ent_degree']] = make_results_dict_all_rel(result['results'],\n", + " relation=result['relation'],\n", + " relation_count=result['count'],\n", + " triple_endpoint='tail',\n", + " metric_type='realistic'\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8c4f4eb2", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "WRITE_TO_FILE=True\n", + "if WRITE_TO_FILE:\n", + " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", + " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + " eval_out_dir = eval_out_dir.joinpath(timestr)\n", + " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", + " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", + " print(f\"Writing results to {str(eval_out_file)}\")\n", + " with open(eval_out_file, \"w+\") as f:\n", + " json.dump(results_by_node_degree_dicts_rotate, f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "628d7bac", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "MODEL_NAME_SLUG = ROTATE\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "\n", + "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", + " results_by_node_degree_dicts_rotate = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a4173e36", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "715026b3", + "metadata": {}, + "source": [ + "### Plots V2 - (improved 17/03) - Plotting the difference in LP scores by RotatE and BioBLP-X" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "7c26ef1a", + "metadata": {}, + "outputs": [], + "source": [ + "def get_unique_endpoint_entities_in_testset_of_given_degree(test_df, degree, node_endpoint_type=None,):\n", + " if node_endpoint_type not in [COL_SOURCE, COL_TARGET]:\n", + " raise ValueError(f\"Invalid node end point type {node_endpoint_type}. Allowed values are '{COL_SOURCE}' and '{COL_TARGET}'\")\n", + " test_subset = test_df[test_df[f\"{node_endpoint_type}_training_degree\"]==degree]\n", + " test_unique_ents = test_subset[node_endpoint_type].unique()\n", + " return test_unique_ents\n" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "670cc3de", + "metadata": {}, + "outputs": [], + "source": [ + "MODEL_ID = ROTATE\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}/20230417-164617\")\n", + "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", + " results_by_node_degree_dicts_rotate_drug = json.load(f)\n", + "\n", + " \n", + "MODEL_ID = BIOBLP_M\n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}/20230417-074027\")\n", + "#eval_out_dir = Path(f\"/metrics/{MODEL_ID}\")\n", + "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", + " results_by_node_degree_dicts_bioblpm = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "4e519049", + "metadata": {}, + "outputs": [], + "source": [ + "rotate_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_rotate_drug, orient='index')\n", + "rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'})\n", + "rotate_df = rotate_df.astype({'degree':'float'})\n", + "\n", + "bioblpm_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_bioblpm, orient='index')\n", + "bioblpm_df = bioblpm_df.reset_index().rename(columns={'index':'degree'})\n", + "bioblpm_df = bioblpm_df.astype({'degree':'float'})\n" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "e2f83480", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpinverse_harmonic_mean_rank_bioblpnum_unique_ents
0429.0800.0625000.1500000.1875000.3750000.1476200.0250000.0625000.0875000.1375000.06542079
1269.0270.0000000.0740740.1481480.2962960.0845600.0370370.1481480.1481480.1851850.11104327
2733.0920.0978260.2717390.3478260.5000000.2199060.0000000.0217390.0326090.0434780.02528592
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 429.0 80 0.062500 0.150000 0.187500 \n", + "1 269.0 27 0.000000 0.074074 0.148148 \n", + "2 733.0 92 0.097826 0.271739 0.347826 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblp \\\n", + "0 0.375000 0.147620 0.025000 \n", + "1 0.296296 0.084560 0.037037 \n", + "2 0.500000 0.219906 0.000000 \n", + "\n", + " hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.062500 0.087500 0.137500 \n", + "1 0.148148 0.148148 0.185185 \n", + "2 0.021739 0.032609 0.043478 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents \n", + "0 0.065420 79 \n", + "1 0.111043 27 \n", + "2 0.025285 92 " + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def compare_and_plot(rotate_df, bioblp_df, \n", + " test_triples_subset=tes, \n", + " node_endpoint_type=NODE_ENDPOINT_TO_PREDICT):\n", + " merged_df = rotate_df.merge(bioblp_df, how='inner', on='degree', suffixes=['_rotate', '_bioblp'])\n", + " merged_df.drop(columns=['Relation_bioblp', 'Relation_rotate', 'Count_bioblp'], inplace=True)\n", + " merged_df = merged_df.astype({'degree':'float'})\n", + " merged_df = merged_df.rename(columns={\"Count_rotate\":\"count\"})\n", + " \n", + " merged_df['num_unique_ents'] = merged_df['degree'].apply(\n", + " lambda x: len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_subset, \n", + " degree=x, \n", + " node_endpoint_type=node_endpoint_type)))\n", + " return merged_df\n", + "merged_df_bioblpm_rotate = compare_and_plot(rotate_df, bioblpm_df)\n", + "merged_df_bioblpm_rotate[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "5afb1e85", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import EVAL_METRICS_SHORTLIST\n", + "for metric in EVAL_METRICS_SHORTLIST:\n", + " merged_df_bioblpm_rotate[metric] = merged_df_bioblpm_rotate[f'{metric}_rotate'] - merged_df_bioblpm_rotate[f'{metric}_bioblp']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e2493ee9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "15090e11", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "rotate_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_rotate, orient='index')\n", + "rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'})\n", + "rotate_df = rotate_df.astype({'degree':'float'})\n", + "\n", + "bioblpp_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_bioblpp, orient='index')\n", + "bioblpp_df = bioblpp_df.reset_index().rename(columns={'index':'degree'})\n", + "bioblpp_df = bioblpp_df.astype({'degree':'float'})\n" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "dca96557", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true, + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 1170.000000\n", + "mean 0.192058\n", + "std 0.172886\n", + "min 0.000000\n", + "25% 0.056881\n", + "50% 0.141284\n", + "75% 0.278899\n", + "max 1.000000\n", + "Name: proportion, dtype: float64" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_df = merged_df_bioblpm_rotate\n", + "min_c, max_c, mean_c, std_c = merged_df['count'].min(), merged_df['count'].max(), merged_df['count'].mean(), merged_df['count'].std()\n", + "merged_df['proportion'] = (merged_df['count']-min_c)/(max_c-min_c)\n", + "merged_df.proportion.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "16fbbb60", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true, + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpinverse_harmonic_mean_rank_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rankproportion
8401.02990.7725750.8929770.933110.9397990.8396990.0066890.0200670.0200670.03010.0181441940.7658860.872910.9130430.9096990.8215550.546789
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "840 1.0 299 0.772575 0.892977 0.93311 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblp \\\n", + "840 0.939799 0.839699 0.006689 \n", + "\n", + " hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "840 0.020067 0.020067 0.0301 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "840 0.018144 194 0.765886 0.87291 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank proportion \n", + "840 0.913043 0.909699 0.821555 0.546789 " + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_df[merged_df['degree']==1.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "57c31e3d", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import EVAL_METRICS_SHORTLIST\n", + "for metric in EVAL_METRICS_SHORTLIST:\n", + " merged_df[metric] = merged_df[f'{metric}_rotate'] - merged_df[f'{metric}_bioblpp']" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "33940e98", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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aKaWUUkopDzglibWIvCsiS9yGfysihSKSZw9fJSKZ9mOfSacihlNNRIy4tSl5irbxtIj81oPrO+UxdzKOuSKS1cl5HxCR/3ZjG7tFZG5Xl7OXrRSRoR3P2buJyJquttzRG9iPiL/ydhx9iafP7a6co72d+3lgV4F4v5vrafa7dir1lmt1fyIiafZ+PVVtjntcXz4PPZm/9LXfsi4n1vaBWWUnH0Ui8pFY7Ua6GGMuMcYss+dPwWoGZ4wxpqkHtD8B99oNp2/t6YforUTkcRG5w0vb7lMHoqfZjfOv6eayYcaYwx4OSXWSMWatMWZkx3Mq1TXGmOeMMRd1NF9rN/Tuv2vqzCVWT5cndY4iIhNEpE6s9sTVGay7JdZn2T0/jcRq7/FREWmrYfrBQJExJr/FuG69JNGX7jax2qlc6e0gVO/X249rab93LtUDvf277010X/X9c7EffIdPA1eL1euou5uAt1t0xHLK9IP96HWnah/2qCqIMabQGPMscBfwcxGJhROlpSJyIVZPY8l2CfcL9hu/vsB2ETlkz58sIq+KSIGIHBERV4PsdsnBKyLyX7Eax79ZRCJF5EkRyRWRbLuqia89/80isk5E/iRWxxFHROQSt/XFiMh/RCTHnv6G27TLRGSbWB1UfCYiEzrYBQtF5LBdzeWPYvdeZK9rAlBqjMkSkaNiNfbe1HuZEZEx9vDt7jG0YoCIfCAiFSLyiVhdEzdt42wR2SgiZfb/Z9vjfwfMxrrhqRSRR93Wd6GIHLA/+1IRabVLWnu/v2zv9woR2SkiI0Tk5yKSL1ZVnovc5k8WkTdFpFhEDorIt9ymBduPhUpEZA9W02K0WLbV77/FfEF2PEX2d7RRRBLamDfDPv6aPstLIvKM/Vl2i8jUtna4uD2GteNeKiLv2Mt+KSLD7GmPicifWiy7QkR+2NHnauO4ni4im0SkXESOi8hf3OafaR+TpSKyXTpfzWWwiKy3Y39fRAa4rfNlEcmzj59PRWSs27SnReSfIrJSRKqA8+19+hMR2SHWU6snRSRBrEfkFSLyoYhEu61jkb2vS8W6Jox2m5YhIj+211UmIi+K1cHASY8/RSRFRF6z92NRi+O5te/vZvsz/9Xe9mGxzpWb7eM2X5pXVQsU63pxzN7vj4ndAYxYvb69bW+7xP57kNuya0Tkf9vax23E1/RI+jYROQas7uT30epx2Mr6z7U/5/mtTFsmIj+y/x5ox3G3PZwu1vkrbvP/yN5fuSJySyf32VwRyWpr2VZiWiMiD4nIBvuzrxC71K+dfXWriOy1v5P3pPl1cb6I7LPX9ShuXTLbx8A6t+GxYl1fi+3P8QsRuRirs5tviHX93O4W5+3u65G2f2eG2N9h03mxVNqp0ibWeZUr1u/SrS2mtXYuNnsi2crnukhEvrL3wT/E+u1o9QmmWNedz8U6V3JF5FERCbCniVjnUb69rh0iMq6N9dws1rlWYe+PG9zGN52PxVi9jQaLyJ/F+m0ss/dlcCvrbPdYEisXeEas8/OoiPxSTvQi6Gt/P4Uichi4tMW628wj2mOM+RyrE5Vr3Nbli9Xte9OT+jav5e2Rjn8rM8TqLXUHUCVWT5PNqg1JiyoYIvJTt2Pr9pbzt1h/u9czaf+aPklEttjLvYjVuY77ujudX0k757A9vb3zv81jv41jsc1rWVfjdjHGdOkfVs8/6S3G+QMOrF6EANZgtccKVp/yWW2tAyu53wz8D1abrkOBw8ACe/oDWN1vXmnPG4zVc9q/sLrjjMfqVvbb9vw32/N/CyuBvwurF7amFlDeweoWNdqO+zx7/GQgH5hhL7cEyAAC29kPH2N1U5wK7G/6zPb0+4CH7L+fAX5k//04cAi4y23aD9rYxtNYvSfNweo97hFgnT0tBqsHpxsBP+A6ezi25XfQIua3gSg75gLg4ja2/QBQCyyw1/8MVg9t99v77VvAEbf5PwH+gXUyTbTXPc+e9jCw1o45BdjVdEx08vv/r/33t4G3sLrU9QWmABFtxJ8BXNjisyy0l3sI+KIzx7j9HRQD0+398Byw3J42B6uXuaZjKxqre+HkTn6ulsf158CN9vQwYKb990CsHsUW2vPOt4fjOjhX12AdayPs9a8BHnabfitWk2+BWD24bWtx7JUB59jbDLL36RdAgh1TPrAFmGSvYzXwa3v5EVjNyM3HOl5+itV7XIDb97PB3lcxwF7gzpbXDPv72g78Fet8DwLO7eBz34x1PbrFXv63WL3iLbXjvAjrvAqz5/8bVre9Mfb+eIsT524s1g9oiD3tZeCNzu7jNuJLwzrGnrE/U3Anv49Wj0P3YxbrfM0Eprex7VuBt+y/r7djf9Ft2gq378CB1aWzP9axVw1Ed2KftbtsG8dpNjDO3h+vcuKcP2lfYZ0zB4HR9r74JVYXy2B1EV0OfM3e9g/sWJp+j27mxDU0HKsH0B9hHVfhwIyW150Wcbqvp73fmc+xqjwGAOfaMf23jc9/MXDc7fM/z8nXoJbnoiuWVj5X0z642t4/37Njvb2N7U8BZtrzpmGdi9+3py3Auo5FYSU3o4GkVtYRam9zpD2cBIxtcT5+x95GMNa5uAbrOuILnE0rv7V0fBw+g9U7Y7gd+37gNnvancA+rN+cGKzfawP42dPfoI08oqN/WL+DH7oNL8D6zfN3+/5PupZ3Yr1t/la6XTe32dOarhvNcjL7ePmt27GVB4zFuoY923L+zv5m0M413f53FOt888c6/xrc4uh0fkXH5/CVdHz+t3rs0/qx+DfavpZ1KS90fYbOfNktPnSrX4r95d3QygVoLu0n1jOAYy2m/xz4j9sF7lO3aQlY3f4Gu427DvjYbccddJsWYm8vEetkd9LKBR6rq9H/bTHuK+zEu439cLHb8N3AR27Da4HZ9t+3AW/af+8FbudEcnYUmNzGNp6m+Y9nGNCIdVLdCGxoMf/nwM0tv4MWMZ/rNvwScF8b234A+MBt+HKgEvC1h8Pt9UXZ8TQC4W7zPwQ8bf99uMW+uoMTiVNnvv+mH9lbgc+ACZ04TjNonli7XwTHADWdOcbt7+AJt2kLgX3234KVsM2xh78FrO7OcW2P+xR4EBjQYvzPgGdbjHsPWNLBPlgD/LLFMbqqjXmj7M8d6fa5n2lln97gNvwq8E+34e9gJ51YXZe/5DbNByt5muu2rm+6Tf8D8Jj991y342MW1g+WX0ffudu6bgYOuA2Ptz9bgtu4IqwbQMH6sRjmNm0WbjeNLdY9ESjpzj52myfNjmdoO/O09n20ehy6HbM/x7qejG9nvcOwuiv2AR7Dullt2tfLgB+6fQc17vsd6wdmZkf7rL1l2zlO3W/4xgD1WD9kJ+0r4F3s5Mnt2KrGqmJ4E243zXasWbSeWF8HbG0jpgfoOLFu63cmFevHO8Rt+n9brs9t2lMtPv8ITr4GtTwXXbG08rluAj5vsQ8yaSOxbiWe7wOv239fgJWszgR82lkm1D6ursHtt9kttmNuwz728XFWJ2Jp7zj0xcoFxrhN+zawxv57NfbNuj18kb1f/eggj+hEXKlYCdsge/g54BG36a1eyzux3jZ/K+3hDODWFsu4jhW346UpoX0KO0m0h9Nbzt/KcdXq9Yx2rulYhUyuG0t7+mducXQ6v6Ljc7ij87/NY7+VY7Gja1mX8sKmfx5pFURE/IE4rBKVrhqMVVWktOkf1mM490f8mS3m9wdy3eb/F9YdZ5O8pj+MMdX2n2FYCWCxMaakjTh+1CKOFKwStba4x3W0aV4RiQJGYR1YYJXmzhaRRKyLwYvAOSKSBkRi3YF2uA1jTCXWPk62/x1tMe9RrBKA9uS5/V2NtV/actzt7xqg0BjT6DaMvXwy1n6taCOWZE7eV0068/03eRYroVxuP9b6g33sdUbLzx0kna9f1eo+M9ZZthzrggxWCeBz9t9dPa7BugEbAewTq5rLZW7r+nqLdZ2LdaPYrdjtx6QPi8ghsaqiZNjzuFdjaBkfnHxMtBxuOp6aHZ/GGKe9PvfjszPHYgpw1BjjaGVae1rGhTGmtVjjsJKizW77dpU9HhEJEetlpaP2fvoUiGrxyLgr55Q71/7t5PfR0Xa+j/XDt7OtDRpjDmHdIE/Eqi72NpAjIiOB87CuVU2KWuz3pm22u886WLYtLa8P/rR9LA4GHnHbdjHWD+RAWlxr7HO0teMYrGPrUDsxdaSt35mm62G127xtxQDtXx87s3y767P3QZstS4hVxe9tsaohlQP/D3vfG2NWA49ilTAfF+uF/IiW6zDGVAHfwColzhWrytKoNuIfgFXq3tl939axNIATJaVNuvK701Ee0SZjzDGsa8E3RSQMqxTV/cXWtq7lHTmlx0Inl23rOtPeNT0ZyLaPtSYt93dn86uOzuGunv8tj333dXV0LetOXuix5vauwLpD39CNZTOx7g6i3P6FG2MWus1jWsxfh3Un2DR/hDFmLB3LBGLsxLe1ab9rEUeIMeaFdtaX4vZ3KtYdG1iPhT5qSkKNMQexDtDvYpVSVmAdvHdglTI4O7MN+wSOsbeTg/Wlu0vFuoOE5vvsVMvB2q/hbcSSy8n7qklnvn8AjDENxpgHjTFjsB4dXoZ1h+pNLwBfs+t4zcAqxYWuH9cYYw4YY67Durj/HnhFrBdkMrFKrN3XFWqMebgHcV+Pdd5eiHVzl2aPd6/L1pNjqNnxKSKCdQxkt7lE6zKB1C7cBHVVIVaSPdZt30Ya6+VssKoJjMSqIhCBVTIDLer8dZP7/u3M99GRrwNXisj3O5jvE6zHrAHGmGx7+CasqkzbOrGdjvZZd7S8PjTY22nS8jfg2y3Oh2BjzGe0uNa4HXetycQqwW9NT479XKzrYYjbuLZiaJq/retjW/FUYSUETRLd/s4F3N8DEPfhVvwTq8rEcPsY/wVux50x5v+MMVOwqhOMAH7S2kqMMe8ZY+Zj3fDvA/7dRvyFWFXz2tr3nVWIdZy4/w525Xenu3lEk2VY5801WNf6LU0T2rmWd6Q7x0I1nTwWaP847Eh71/RcYKA9rknL/d3Z/Kqjc7ij87+jY7/lsdjetaw7eWHPEmuxXgS8Aetu9vfGmKJurGYDUC5Whfxgu+RmnIhMa21mY0wu8D7wZxGJEBEfERkmIud1tCF72XeBf4j1UpK/iDT9UP4buFNEZoglVEQubZEstvQTez0pWHV5XrTHX8rJrYF8AtzLiRKhNS2G27JQrJeRAoD/Bb40xmTa6x8hIteL9QLDN7Aeob5tL3ccq17vKWfH8xnwkFgvGE7AumNvKr19Cevl1mixXvz6jtvinf7+ReR8ERlvlxaWY11UG1vOdzoZq7nIAuAJ4D1jTKk9qUvHNbhebI2zb7Sa1tOI9Rj5chFZYK8nSKyXetr7sexIONYPSxHWRfn/9WBdrXkJuFRE5on1VOFH9vY+a3+xk2zAulg+bJ+TQSJyjqeCtPf1v4G/ikg8uF7qW2DPEo514S0V64W6X3tq2y144vvIAeYB3xX7hcQ2NF2LPrWH12Cdk+vcnki1qRP7rDu+KSJj7GT0N8Ar7cTyGNb1ZKy97UgR+bo97R1grIhcbd+MfZfmiYa7t4FEEfm+WC8whYvIDHvacSBN3F5I7yxjzFFgE9aLUQEiMgurKl1bXsJ6ebnp83fmGNuG1TJFiFgvot3mNu0dYLyIXGnvg3toex+AdeyVA5VilTLf1TRBRKbZv4n+WMl8La1cc8V6iXmRnTzWYT0VafX7s4+fp4C/iPWCt6+IzBKRwE58bvf1NGLtu9/Z391g4IdY10vsad8VkUFivVR9n9uy7eYRcuKl2bR2QngVK+F7kOal1e1dyzvS3m9lW7YB19v78WKsJ0/u67tFREbbx9b/dGJ97cXW1jX9c6zC1e/a+cjVWO+DNOlKftXROdzR+d/pY78T17Lu5IXdTqy3i9W6x0Gs+sI/MMZ06wuzT47LsR5NHsG6g3gCq9SmLTdhPQLag/XC3it07rE4WHWTG7DuqPOxHp9ijNmEVUf2UXudB7Hq47RnBdaLHduwvtAnRUSwKvevajHvJ1gXsE/bGG7L81gX2mKsl0xusOMtwiqx/RHWj/FPgcuMMU2lPI9glaSWiMj/dbANT7gOq5QtB3gd6yW2D+xpD2I9FjqCdTF7tmmhLn7/iVjfdTlWXfVPOHER9aYXsEoan28a0c3j+mJgt31uPQJca4yptW9crsAqSSrAuov+CT27MX4G6zvJxjqPvujBuk5ijPkK+Cbwd6zPfjlwuTGmvovradqP6Vj12bOwHjl70s+wzvcvxHoU/iFWKTVYL7YEY32GLzj5vPYUj3wfxnpEPQ/4mbTdjn3La886rGS+o2uRu/b2WXc8i1U3NA+rmkCrLQMBGGNexyoFXG5vexdwiT2tEKvk/mGs6+JwYH0b66nAulZfbm/3ANDUksrL9v9FIrKllcU7cgNWXc0irJdnX8RKQlqL412s42w11j5d3Yn1/xWrHvpxrKSuqRDDfR/8wd7+GKxEv9XtAz/GemJSgZVIvOg2LcIeV4J1fBZhvZTZkg/Wb1EO1m/VeVj1c9vyY2AnsNGe//d073r2HayE/zDWcfw8VtKOHfd7WC8/bwFea7Fse3lECifOx1YZq/pLU3L9XIvJrV7LAcRqaWZ2G6tt87eyHd/DOoZLsY67N9xifBf4P6wXNw9iJcDQ9rHQpvau6fZ1/WqsnKkE6xr9mtuync6vOjqHO3n+d/bYh3auZd3MC11vMCsPEZHpwKPGmOkdzqyUUmc4EVmD9WLfE96O5VQRq/mxfcaYU/XEo71t+2DdkN5gjPn4dG+/LxKRXwIFxph/eTsWTxKrebxdWK1adPW9lT7HW8e+p+pYq+ZO+8VTKaVU72BXoRhmVzG4GOuJ0xuncfsLRCTKrl7RVGfao0+l+jNjzG/7S1ItIlfZVZKisUp63+rPSXVvOPY1sfYwY8wG+/GLUqec/VixtX9tPWrsF8RqxL+1z/2Yt2MDEJEb2oivWz3Oqj4nEavueiXWo/i77PcxTpdZWK1uND2yv9IYU9P+Iqqf+jZWFcJDWPW872p/9j7P68e+VgVRSimllFLKA7TEWimllFJKKQ/QxFoppZRSSikPOFWdLpyxBgwYYNLS0rwdhlJKKaVUhzZv3lxojInreE7VGZpYe1haWhqbNm3ydhhKKaWUUh0Skda6TlfdpFVBlFJKKaWU8gBNrJVSSimllPIATayVUkoppZTyAK1jrZRSSqnToqGhgaysLGpra70dyhknKCiIQYMG4e/v7+1Q+jVNrJVSSil1WmRlZREeHk5aWhoi4u1wzhjGGIqKisjKymLIkCHeDqdf06ogSimllDotamtriY2N1aT6NBMRYmNj9UnBaaCJtVJKKaVOG02qvUP3++mhibVSSimllFIeoIm1UkoppVQbFi5cSGlpqbfDaNXTTz9NTk6Ot8NQbjSxVkoppZRqw8qVK4mKivJ2GK3SxLr30cRaKaWUUl6TkZHB6NGj+da3vsXYsWO56KKLqKmpYe7cuWzatAmAwsJC0tLSACuZvPLKK7n88ssZMmQIjz76KH/5y1+YNGkSM2fOpLi4uM1ttbfOq6++mosvvpjhw4fz05/+1LVMWloahYWFAPzud79j5MiRXHjhhVx33XX86U9/ane9jY2N/OQnP2HatGlMmDCBf/3rX+3uiz/+8Y+ueX/961+3u39eeeUVNm3axA033MDEiROpqanhvvvuY8yYMUyYMIEf//jHXfgWlKdoYq2UUkoprzpw4AD33HMPu3fvJioqildffbXd+Xft2sXzzz/Phg0buP/++wkJCWHr1q3MmjWLZ555plsxbNu2jRdffJGdO3fy4osvkpmZ2Wz65s2bWb58OVu3buW1115j48aNHa7zySefJDIyko0bN7Jx40b+/e9/c+TIkVbnff/99zlw4AAbNmxg27ZtbN68mU8//RRoff987WtfY+rUqTz33HNs27aNmpoaXn/9dXbv3s2OHTv45S9/2a39oHpG27FWSimllFcNGTKEiRMnAjBlyhQyMjLanf/8888nPDyc8PBwIiMjufzyywEYP348O3bs6FYM8+bNIzIyEoAxY8Zw9OhRUlJSXNPXrl3LVVddRUhICACLFi3qcJ3vv/8+O3bs4JVXXgGgrKyMAwcOtNqW9Pvvv8/777/PpEmTAKisrOTAgQOkpqZ2av9EREQQFBTE7bffzqWXXspll13Wpc+vPEMTa6WUUkp5VWBgoOtvX19fampq8PPzw+l0ApzU/rL7/D4+Pq5hHx8fHA5Hm9vp7Dp9fX1bXU9bTda1tV5jDH//+99ZsGBBmzG5z/vzn/+cb3/7283GZ2RktLp/Wothw4YNfPTRRyxfvpxHH32U1atXd7hd5VlaFUQppZRSvU5aWhqbN28GcJX4enOdc+bM4fXXX6empoaKigreeuutDte7YMEC/vnPf9LQ0ADA/v37qaqqanX9CxYs4KmnnqKyshKA7Oxs8vPz240pPDyciooKwCrhLisrY+HChfztb39j27ZtXfp8yjO0xFoppZRSvc6Pf/xjFi9ezLPPPssFF1zg9XVOnjyZb3zjG0ycOJHBgwcze/bsDtd7++23k5GRweTJkzHGEBcXxxtvvNHq+i+66CL27t3LrFmzAAgLC+O///0vvr6+bcZ08803c+eddxIcHMy7777LFVdcQW1tLcYY/vrXv3bp8ynPEGOMt2PoV6ZOnWqa3gxWSiml1Al79+5l9OjR3g7DIx544AHCwsL6VOsbre1/EdlsjJnqpZD6Ha0KopRSSimllAdoVRCllFJK9Sv33HMP69evbzbue9/7HrfccovHtvHAAw90a7mdO3dy4403NhsXGBjIl19+6YGolLedsYm1iDwFXAbkG2PGtTJdgEeAhUA1cLMxZsvpjVIppZRSXbV06VJvh9Cm8ePH64uF/diZXBXkaeDidqZfAgy3/90B/PM0xKSUUuoUK6tuYEdWKZV1Dd4ORSnVz5yxibUx5lOg7X5P4QrgGWP5AogSkaTTE51SSqlToaHRyQNv7WbRo+v56/sHvB2OUqqfOWMT604YCLj3Z5pljzuJiNwhIptEZFNBQcFpCU4ppVTX1TY0su5AIQCfHSqk0aktYymlPEcT67a11r1Sq1dgY8zjxpipxpipcXFxpzgspZRS3RUe5M8fvz6B22cP4X8uH4OvT+s96SnVFbfeeivx8fGMG3fila3i4mLmz5/P8OHDmT9/PiUlJa5pDz30EOnp6YwcOZL33nvPGyGrU0QT67ZlASluw4OAHC/FopRSykPmjoznl5eOYdawAd4ORZ1mjY2NrFu3juXLl7Nu3ToaGxs9st6bb76ZVatWNRv38MMPM2/ePA4cOMC8efN4+OGHAdizZw/Lly9n9+7drFq1irvvvttjcSjvO2NbBemEN4F7RWQ5MAMoM8bkejkmpZRSSnVDRkYGd911F1VVVTgcDvz8/AgNDeWf//wnaWlpPVr3nDlzyMjIaDZuxYoVrFmzBoAlS5Ywd+5cfv/737NixQquvfZaAgMDGTJkCOnp6WzYsMHV46Lq287YEmsReQH4HBgpIlkicpuI3Ckid9qzrAQOAweBfwN3eylUpZRSSvVAY2Mjd911F4WFhVRXV1NfX091dTWFhYXcddddp6TE+Pjx4yQlWW0eJCUlkZ+fD0B2djYpKSceiA8aNIjs7GyPb195xxlbYm2Mua6D6Qa45zSFo5RSSqlT5PPPP6eqqgrrp/0EYwxVVVV8/vnnnHvuuacllpYxAFhdZ6j+4IwtsVZKKaXUmSErKwuHw9HqNIfDQVZWlse3mZCQQG6uVYM0NzeX+Ph4wCqhzsw80ehYVlYWycnJHt++8g5NrJVSSinVrw0aNAg/v9Yf0vv5+TFo0CCPb3PRokUsW7YMgGXLlnHFFVe4xi9fvpy6ujqOHDnCgQMHmD59use3r7zjjK0KopRSSqkzw6xZswgNDaWmpqZZVQwRITQ0tMcvDl533XWsWbOGwsJCBg0axIMPPsh9993H4sWLefLJJ0lNTeXll18GYOzYsSxevJgxY8bg5+fH0qVL8fX17dH2Ve8hrdX1Ud03depUs2nTJm+HoZRSSvU6e/fuZfTo0V7Z9qlsFaSvaG3/i8hmY8xUL4XU72iJtVJKKaX6vbS0NN5++20+//xzsrKyGDRoELNmzdLSYuVRmlgrpZRS6ozg6+t72lr/UGcmfXlRKaWUUkopD9DEWimllFJKKQ/QxFoppZRSSikP0MRaKaWUUkopD9DEWimllFJnhKNHj7J06VJ+9atfsXTpUo4ePdrjdWZmZnL++eczevRoxo4dyyOPPAJAcXEx8+fPZ/jw4cyfP5+SkhLXMg899BDp6emMHDmS9957r8cxqN5DWwVRSimlVL9WX1/Pr371K9auXYvT6XS1Y/3cc88xZ84cfvOb3xAQENCtdfv5+fHnP/+ZyZMnU1FRwZQpU5g/fz5PP/008+bN47777uPhhx/m4Ycf5ve//z179uxh+fLl7N69m5ycHC688EL279+vzf71E1pirZRSSql+7Ve/+hXr1q2jvr4eh8MBgMPhoL6+nrVr1/KrX/2q2+tOSkpi8uTJAISHhzN69Giys7NZsWIFS5YsAWDJkiW88cYbAKxYsYJrr72WwMBAhgwZQnp6Ohs2bOjZB1S9hibWSimllOq3jh49ytq1a6mrq2t1el1dHevWrePYsWM93lZGRgZbt25lxowZHD9+nKSkJMBKvvPz8wHIzs4mJSXFtcygQYPIzs7u8bZV76CJtVJKKaX6rbfffhun09nuPI2Njbz99ts92k5lZSXXXHMNf/vb34iIiGhzPmPMSeNEpEfbVr2HJtZKKaWU6rfy8vJc1T/a4nA4yMvL6/Y2GhoauOaaa7jhhhu4+uqrAUhISCA3NxeA3Nxc4uPjAauEOjMz07VsVlYWycnJ3d626l00sVZKKaVUv5WYmIifX/ttNfj5+ZGYmNit9RtjuO222xg9ejQ//OEPXeMXLVrEsmXLAFi2bBlXXHGFa/zy5cupq6vjyJEjHDhwgOnTp3dr26r30cRaKaWUUv3WZZddho9P++mOr68vl112WbfWv379ep599llWr17NxIkTmThxIitXruS+++7jgw8+YPjw4XzwwQfcd999AIwdO5bFixczZswYLr74YpYuXaotgvQj2tyeUkoppfqtwYMHM2fOnDZfYAwMDGT27NmkpqZ2a/3nnntuq/WmAT766KNWx99///3cf//93dqe6t20xFoppZRS/dpvfvMbzj33XAIDA13VQvz8/FxJ9W9+8xsvR6j6Cy2xVkoppVS/FhAQwO9//3uOHj3KO++8Q15eHomJiVx22WXdLqlWqjWaWCullFLqjDB48GDuvvtub4eh+jGtCqKUUkoppZQHaGKtlFJKKaWUB2hVEKWUUkqdEY4dO8bHH39MaWkpUVFRnH/++VrHWnmUJtZKKaWU6tfy8vL45S9/yd69e2lsbMThcODn58fjjz/O6NGj+e1vf9vtDmJqa2uZM2cOdXV1OBwOvva1r/Hggw9SXFzMN77xDTIyMkhLS+Oll14iOjoagIceeognn3wSX19f/u///o8FCxZ48uMqL9KqIEoppZTqt/Ly8rjhhhvYsWOHK/kFqxvzuro6duzYwQ033NDtLs0DAwNZvXo127dvZ9u2baxatYovvviChx9+mHnz5nHgwAHmzZvHww8/DMCePXtYvnw5u3fvZtWqVdx99900NjZ67PMq79LEWimllFL91i9/+UsqKipwOp2tTnc6nVRUVPDLX/6yW+sXEcLCwgBoaGigoaEBEWHFihUsWbIEgCVLlvDGG28AsGLFCq699loCAwMZMmQI6enpbNiwoVvbVr2PJtZKKaWU6peOHTvG3r1720yqmzidTvbs2UNmZma3ttPY2MjEiROJj49n/vz5zJgxg+PHj5OUlARAUlIS+fn5AGRnZ5OSkuJadtCgQWRnZ3dru6r30cRaKaWUUv3Sxx9/3OlqFk6nk9WrV3drO76+vmzbto2srCw2bNjArl272py3te7PRaRb21W9jybWSimllOqXSktLXXWqO+JwOCgvL+/R9qKiopg7dy6rVq0iISGB3NxcAHJzc4mPjwesEmr3kvGsrCySk5N7tF3Ve2hirZRSSql+KSoqCj+/zjWA5ufnR0RERJe3UVBQQGlpKQA1NTV8+OGHjBo1ikWLFrFs2TIAli1bxhVXXAHAokWLWL58OXV1dRw5coQDBw4wffr0Lm9X9U7a3J5SSiml+qXzzz+fxx9/vFOl1j4+PlxwwQVd3kZubi5LliyhsbERp9PJ4sWLueyyy5g1axaLFy/mySefJDU1lZdffhmAsWPHsnjxYsaMGYOfnx9Lly7F19e3y9tVvZO0VtdHdd/UqVPNpk2bvB2GUkop1evs3buX0aNHn9Zt3n777ezYsaPdFxh9fHyYMGECTzzxxGmM7PRrbf+LyGZjzFQvhdTvaFUQpZRSSvVbv/3tbwkPD8fHp/WUx8fHh/DwcH7729+e5shUf6SJtVJKKaX6rcTERJ577jkmTJhAQECAq861n58fAQEBTJgwgeeee67bPS8q5U7rWCullFKqX0tMTOSJJ54gMzOT1atXU15eTkREBBdccEGzNqWV6ilNrJVSSil1RkhJSXH1hqjUqaCJtVJKKaXOCDU1NezYsYOqqipCQ0OZMGECwcHB3g5L9SOaWCullFKqX8vNzeWpp57i3Xffxc/PD2MMIoLD4WDhwoXccsstru7HleoJfXlRKaWUUv3Wrl27uPbaa3nzzTepra2lsrKSqqoqKisrqa2tZcWKFVx77bXtdkPeGY2NjUyaNInLLrsMgOLiYubPn8/w4cOZP38+JSUlrnkfeugh0tPTGTlyJO+9916Ptqt6F02slVJKKdUv5ebmcs8991BVVUVjY2Or8zQ2NlJVVcU999zj6oK8Ox555JFmbUQ//PDDzJs3jwMHDjBv3jwefvhhAPbs2cPy5cvZvXs3q1at4u67724zNtX3aGKtlFJKqX7pP//5D7W1tZ2at7a2lqeffrpb28nKyuKdd97h9ttvd41bsWKF60XJJUuW8MYbb7jGX3vttQQGBjJkyBDS09PZsGFDt7areh9NrJVSSinV79TU1LBy5cpOlwY3NjbyzjvvUFNT0+Vtff/73+cPf/hDs05ojh8/7qq3nZSURH5+PgDZ2dnNmvgbNGgQ2dnZXd6m6p00se4jahsa+XDPcX76ynYueeRT7n1+C29tz6GipsHboSmllFK9zo4dO1ydwXSWn58fO3bs6NIyb7/9NvHx8UyZMqVT8xtjThonIl3apuq9tFWQPqC2oZG/rz7I0o8Pusbtza3g7R25fG3KIH516RgiQ/y9GKFSSinVu1RVVbWaxLbHGENVVVWXllm/fj1vvvkmK1eupLa2lvLycr75zW+SkJBAbm4uSUlJ5ObmEh8fD1gl1JmZma7ls7KySE5O7tI2Ve+lJdZ9wPoDhc2SanevbM7ivd3df9lCKaWU6o9CQ0O7XBIsIoSGhnZpmYceeoisrCwyMjJYvnw5F1xwAf/9739ZtGgRy5YtA2DZsmVcccUVACxatIjly5dTV1fHkSNHOHDgANOnT+/SNlXvpSXWfcAHe4+3O/2VzVlcOWkQAX56n6SUUkoBTJgwAYfD0aVlHA4HEyZM8Mj277vvPhYvXsyTTz5JamoqL7/8MgBjx45l8eLFjBkzBj8/P5YuXYqvr69Htqm8TxPrPmBvbnm70/flVVBV7yDAL+A0RaSUUkr1bsHBwSxcuJAVK1Z06gVGX19fLr300h71xDh37lzmzp0LQGxsLB999FGr891///3cf//93d6O6r20iLMPGBrX/mOpwbEhhPjr3a5SSinl7pZbbiEoKKhT8wYFBXHzzTef2oBUv6eJdR8wf3Riu9O/MS2FQE2slVJKqWaSkpJYunQpoaGhbVa38PX1JTQ0lKVLl2q35qrHNLHuA+aMHMANM1JbnTZvdDwXj2s/8VZKKaXOVOPGjWP58uVcccUVBAUFERYWRmhoKGFhYQQFBXHllVeyfPlyxo0b5+1QVT8gXW2Kpj8RkYuBRwBf4AljzMMtpkcC/wVSseqj/8kY85/21jl16lSzadMmj8daUdvA+7uP89qWLPbkljM4NoSvT0lhwbgEBoR17jGXUkop5U179+5t1u336VZTU8P27dspLy8nIiKCs846q0d1qvua1va/iGw2xkz1Ukj9zhn78qKI+AJLgflAFrBRRN40xuxxm+0eYI8x5nIRiQO+EpHnjDH1pzve8CB/rpkyiCsmJlNd30iQv6+2AqKUUkp1gsPh4NNPP2XZsmXs3bsXYwwiwujRo1myZAlz5szpcmcySrXmTD6KpgMHjTGHAURkOXAF4J5YGyBcrIYww4BioGtt93iYn68PEcGaUCullFKdceDAAe655x5qa2uprq52jTfGsHv3bh544AGCg4N59NFHGT58uBcjVf3BmZyhDQQy3Yaz7HHuHgVGAznATuB7xhhnyxWJyB0isklENhUUFJyqeJVSSinVBQcOHOC2226juLi4WVLtrrq6mqKiIm677TYOHDjQre2kpaUxfvx4Jk6cyNSpVq2K4uJi5s+fz/Dhw5k/fz4lJSWu+R966CHS09MZOXIk7733Xre2qXqnMzmxbq07ppYVzhcA24BkYCLwqIhEnLSQMY8bY6YaY6bGxcV5Ok6llFJKdZHD4eCee+5pM6Fuqbq6mnvvvbfLnco0+fjjj9m2bRtN71k9/PDDzJs3jwMHDjBv3jwefth6jWvPnj0sX76c3bt3s2rVKu6+++5OtbOt+oYzObHOAlLchgdhlUy7uwV4zVgOAkeAUacpPqWUUkp106effkptbW2XlqmpqWHt2rUe2f6KFStYsmQJAEuWLOGNN95wjb/22msJDAxkyJAhpKens2HDBo9sU3nfmZxYbwSGi8gQEQkArgXebDHPMWAegIgkACOBw6c1SqWUUkp12bJlyzpdWt2kurqap59+usvbEhEuuugipkyZwuOPPw7A8ePHXe1iJyUlkZ+fD0B2djYpKSfK9QYNGkR2dnaXt6l6pzP25UVjjENE7gXew2pu7yljzG4RudOe/hjwv8DTIrITq+rIz4wxhV4LWimllFIdMsawd+/ebi3r3mpIZ61fv57k5GTy8/OZP38+o0a1/XC7tWaOu7It1budsYk1gDFmJbCyxbjH3P7OAS463XEppZRSqvscDkerCWxnGGNwOBz4+/t3epnk5GQA4uPjueqqq9iwYQMJCQnk5uaSlJREbm4u8fHxgFVCnZl5ou2ErKws1/Kq7zuTq4IopZRSqh/y8/PrdimwiHSpTeuqqioqKipcf7///vuMGzeORYsWsWzZMsCqlnLFFVcAsGjRIpYvX05dXR1HjhzhwIEDTJ8+vVuxqt7njC6xVkoppVT/09T5y+7du7u87OjRo7uUlB8/fpyrrroKsErKr7/+ei6++GKmTZvG4sWLefLJJ0lNTeXll18GYOzYsSxevJgxY8bg5+fH0qVL8fX17XKcqnc6o7s0PxVOVZfmSimlVF93Ors0X716NQ888ECXXmAMCQnhwQcf5Pzzzz+FkXmPdml+6mlVEKWUUkr1O3PmzCE4OLhLywQHBzN79uxTFJE6E2hirZRSSql+x8/Pj0cffZSQkJBOzR8SEsLSpUu7VL9aqZY0sVZKKaXUaXM6q6AOHz6cJ598ktjY2DYT7JCQEGJjY3nqqadIT08/bbGdblr19/TQ2zKllFJKnRZBQUEUFRURGxt72tpuHj58OO+88w5r167l6aefbtZO9ejRo7n55puZPXt2vy6pNsZQVFREUFCQt0Pp9/TlRQ/TlxeVUkqp1jU0NJCVldXlrsY9yRhDY2Mjvr6+Z1THLEFBQQwaNOik9rn15UXP6r+3Z0oppZTqVfz9/RkyZIi3w1DqlNE61koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWSimllFJKeYAm1koppZRSSnmAJtZKKaWUUkp5gCbWql8qqa4nr6zG22EopZRS6gzi5+0AlPKkyroGXtyYyT8+PkhZjYOrJw/kjjlDSY8P93ZoSimllOrntMRa9Ssrtubwv2/vpaiqAYfT8NKmLB54cw+19Y3eDk0ppZRS/Zwm1qrfaGh08tyGYyeNX3ewkD255V6ISCmllFJnEk2sVf9hoL7B2eqkRmNOczBKKaWUOtNoYq36DX8/H66bnnLS+LMGRTImSetYK6WUUurU0pcXVb9y1eRBFFc38MTaw9Q5nJw3Io6fLBhJaKC/t0NTSimlVD+nibXqV2JCA/jJgpFcOz2FmrpG0gaEEuCnD2aUUkopdeqd0RmHiFwsIl+JyEERua+NeeaKyDYR2S0in5zuGFX3pESHMCIxXJNqpZRSSp02Z2yJtYj4AkuB+UAWsFFE3jTG7HGbJwr4B3CxMeaYiMR7JVillFJKKdXrncnFedOBg8aYw8aYemA5cEWLea4HXjPGHAMwxuSf5hiVUkoppVQfcSYn1gOBTLfhLHucuxFAtIisEZHNInJTaysSkTtEZJOIbCooKDhF4SqllFJKqd7sTE6spZVxLRs79gOmAJcCC4BficiIkxYy5nFjzFRjzNS4uDjPR6qUUkoppXq9M7aONVYJtXujx4OAnFbmKTTGVAFVIvIpcBaw//SEqJRSSiml+oozucR6IzBcRIaISABwLfBmi3lWALNFxE9EQoAZwN7THKdSSimllOoDztgSa2OMQ0TuBd4DfIGnjDG7ReROe/pjxpi9IrIK2AE4gSeMMbu8F7VSSimllOqtxJiW1YpVT0ydOtVs2rTJ22EopZRSSnVIRDYbY6Z6O47+4kyuCqKUUkoppZTHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFJKKaWUB2hirZRSSimllAdoYq2UUkoppZQHaGKtlFKnWVW9g4zCKqrrHd4ORSmllAdpYq2UUqdRcWUdP3pxO3P/tIafvbKDkup6b4eklFLKQzSxVkqp02hnThmrducB8NaOXHbnlHs5IqWUUp6iibVSSp1GSRFBhAb4AhAR7EdiRJCXI1JKKeUpft4OQCmlziQjEiP47+0z2J1TzviBEaTHh3k7JKWUUh6iibVSSp1mk1KjmZQa7e0wlFJKeZhWBVFKKaWUUsoDNLFWSimllFLKAzSxVkoppZRSygM0sVZKKaWUUsoDNLFWSimllFLKAzSxVkoppZRSygM0sVZKKaWUUsoDNLFWSimllFLKAzSxVkoppZRSygM0sVZKKaWUUsoDNLFWSimllFLKAzSxVkoppZRSygM0sVZKKaWUUsoD/LwdgFKq67JLq9lytBQ/X2Hq4BjiwgO9HZJSSil1xtPEWqk+ZmdWGXc8u5HcsjoAxiZH8Oj1kxgyIMzLkSmllFJnNq0KolQf8+qWLFdSDbA7p5wPdh/3YkRKKaWUgj6cWIuIPvtWZ6R9ueUnjcsrr/VCJEqp1jidhue/PMrXH/uMVbtyvR2OUuo06hOJtYg81WI4DFjppXCU8qrzR8WfNG5McqQXIlFKtSa3vJb739jFxowSfvvOXuoaGr0dklLqNOkTiTWQLSL/BBCRaOB94L/eDUkp77hq0kBumjUYXx8h0M+H780bzoKxCd4OSylliwrx5+KxiQBcNiGJQH9fL0eklDpdxBjj7Rg6RUR+D0QCU4CHjTGvejmkVk2dOtVs2rTJ22Gofs4Yw7Hiavx9hOToEG+Ho5Rqoay6gdyyGgbHhhAcoO0EqN5LRDYbY6Z6O47+olef7SJytdvgBuBX9v9GRK42xrzmnciU8i4RYXBsqLfDUEq1ITLEn8gQf2+HoZQ6zXp7VZDL3f5dBmwF/N2Ge0RELhaRr0TkoIjc185800SkUUS+1tNtKqWUUkqp/qlXl1gbY245VesWEV9gKTAfyAI2isibxpg9rcz3e+C9UxWLUkoppZTq+3p1Yt1EROKAbwFpuMVsjLm1B6udDhw0xhy2t7EcuALY02K+7wCvAtN6sC2llFJKKdXP9YnEGlgBrAU+BDzVbtFAINNtOAuY4T6DiAwErgIuoJ3EWkTuAO4ASE1N9VB4SimllFKqL+kriXWIMeZnHl6ntDKuZRMpfwN+ZoxpFGltdnshYx4HHgerVRBPBaiUUkoppfqOvpJYvy0iC40xnuwUJgtIcRseBOS0mGcqsNxOqgcAC0XEYYx5w4NxKKWUUkqpfqCvJNbfA34hInVAA1ZpszHGRPRgnRuB4SIyBMgGrgWud5/BGDOk6W8ReRp4W5NqpZRSSinVmj6RWBtjwk/BOh0ici9Wax++wFPGmN0icqc9/TFPb1MppZRSSvVffSKxBldX5sOBoKZxxphPe7JOu2rJyhbjWk2ojTE392RbZzJjDGu+KuDTAwUAzBk+gPNGxOPj03a9daWUUkqpvqZPJNYicjtWdZBBwDZgJvA5Vmsdqpd7f/dx7nxuM8Z+rfPpzzL4x/WTuWR8kncDU0oppZTyoN7e82KT72E1d3fUGHM+MAko8G5IqrOe+/KoK6kGMKZpnDagopRSSqn+o68k1rXGmFoAEQk0xuwDRno5JtUJTqehoKLupPH5FXU4Na9WSimlVD/SVxLrLBGJAt4APhCRFZzcNJ7qhXx8hK9NHXTS+MVTU/DVOtZKKaWU6kf6RB1rY8xV9p8PiMjHQCSwyoshqS64evIgKmodPP7pYYyBO+YM4erJJyfbSimllFJ9mfT2eq4i4gPsMMaM83YsnTF16lSzadMmb4fRKxVU1AIQFx7UwZxnpsq6Bj7ck89XeRUkRwUxf0wCiZHB3g5LKaVUPyYim40xU70dR3/R60usjTFOEdkuIqnGmGPejkd1nybU7XtszWEe/figa3jV7jz+ecMUIoL9vRiVUkoppTqr1yfWtiRgt4hsAKqaRhpjFnkvJKU8J6Owkn99eqjZuPUHi9h6rITzRsZ7Kaozw6GCSo4UVDE0LpShcWHeDkcppVQf1lcS6we9HYBSp1Kdw9DQeHK1rJoGpxeiOXN8sCePe5/fSp3DSZC/D/+4YTIXjErwdlhKKaX6qD6RWBtjPmlvuoh8boyZdbriUcrThsaFsnB8Iit35rnGJUcFMTEl0otR9W9VdQ38YdVX1Dmsm5faBid/++AAZw8dQFCAr5ejU0op1Rf1icS6E7TyruqVjpfXkF9RR2pMKJHt1JX29/XhvktGkRYbyqpdeUxNi+aGGYP15cVTqM5hyC2rbTYus6Sa+kYnQWhirZRSquv6S2Ldu5s2UWccYwyvb83mwbd2U1bjYGhcKL+9chxnDxvQ5jKpMaH89OJR/PiikfhoG9+nXExoALedm8YjH514YfT22UP0ZVGllFLd1l8Sa6V6lR1Zpfzo5e2urtwPF1Txo5e28/Z3ziU2LLDdZTWpPrVqGxp5dUsWaw8UMiwulD99fQL7cisYkRDGJeOSvB2eUkqpPqy/JNaaiaheZW9uBS2biM8tq+VgfmWHibU6td7dlcv9r+9yDd80azC/uaJPNJOvlFKql+srXZp35EZvB6CUuwHhJyfP/r5CbFiAF6JR7o4UVDUbXnewkEan1iZTSinVc30isRaRq0XkgIiUiUi5iFSISHnTdGPMrvaWV6onCirr2J5ZSml1faeXmZEWw8Lxic3G/XD+SNLjwz0dnuqiEQnNv4N5o+Lx1eo3SimlPKDXd2kOICIHgcuNMXu9HUtHtEvz/uXT/QX86KVtFFTWMyQ2lD9+fQJT02I6tWxpdT2fHSoip7SGEQnhzBgaQ6CftjbhLbtyytiTXc6A8AAqax1syChmUHQI10weqL2CKqXOWNqluWf1lTrWx/tCUq36l9Lqen75xk4KKq2S6iNFVTzy0QGeXDKNAL+OH/ZEhQSwcLy+DNcbbD1Wwk1PbaCi1gHA/7tqHL+9cryXo1JKKdXf9ImqIMAmEXlRRK6zq4VcLSJXezso1b8VVtZzrLim2bgtR0uotJMz1Xd8fqjIlVQD/OezDK1XrZRSyuP6Sol1BFANXOQ2zgCveSccdSZIiQ7m3PRY1h0sco27YtJAYvQFxD4nPKj5pW5gVLDWq1ZKKeVxfSKxNsbc4u0Y1Jkn0N+XX102hqfWHWHdwSIuHpfIkrPTvB2W6oZLxiexLauUN7bmMCIhnB9cOMLbISmllOqH+srLi0HAbcBY3LovN8bc6rWg2qAvL/ZPdQ2NBPrri4d9Wb3DSXFVHaGBfoQHae+K1su1hYgI5w4bQLj2OKnUGUlfXvSsPlFiDTwL7AMWAL8BbgD0ZUZ12mhS3fcF+PmQGBns7TB6hdr6Rv737T28uiUbgOunp/LrRWO01RqllOqhvvLyYrox5ldAlTFmGXApoK/0K6VUN2SV1riSaoDnNxzjeHmtFyNSSqn+oa8k1g32/6UiMg6IBNK8F45SSvVdkSH+JEWe6B00NTZEq8copZQH9JWqII+LSDTwK+BNIAz4H++GpJRSfVNcWCCPXj+ZFzYcw0eE66anEh2ird0opVRP9YnE2hjzhP3nJ8BQb8ailDr1thwtIa+8lgkDIxkUE+LtcPqlKYNjmDK4c72IKqWU6pw+kViLSALw/4BkY8wlIjIGmGWMedLLoSmlPGzNV/ncvmwTDqdhXHIETyyZqi8dKqWU6hP6Sh3rp4H3gGR7eD/wfW8Fo5Q6dbYcLcFh94q4K6ecgwVVXo5IKaWU6py+klgPMMa8BDgBjDEOoNG7ISmlToX0hDDX3/HhgQyKOrm0urKugcIKbcVCKaVU79InqoIAVSISi9WNOSIyEyjzbkhKqVPhknFJPH6jL1klNUwfEkPagNBm0z/cc5yHV+0js7iaW85J447ZQ4kJs1q4KKtu4J2duRRW1jJzaCzTh8R64yOobjpeVstLmzMBWDwlhYTIoA6WUEqp3qWvJNY/xGoNZJiIrAfigK95NySl1Kng7+vDRWMTW512pKCSe1/YQm2DE4DHPjlMUmSwq6v5J9Yd5u+rDwIQ5H+Il+6YxYSUqNMRtvKAd3bm8uf39wMQ4u/LbbP1XXWlVN/SJxJrY8wWETkPGAkI8JUxpqGDxZRS/UxGUbUrqW5yIL8CAKfTsHJnrmt8bYOT/fmVmlj3IWGBJ36SwoP6xM+TUko10yeuXCLiCyzE6hTGD7hIRDDG/MWrgSmlTqshA0IJ8vdpllyPiA8HwMdHODd9AIfslx19fYTUGG1NpC+5bEISwQG+GGO4cHSCt8NRSqku6xOJNfAWUAvsxH6BUSnVMzX1DvYfryQy2P+kesy9VdqAUP5x/WT++P5XHCuq5pZzhnDZWcmu6XfNTScuPJCCijrOSR+gdaz7mJBAPy53+z6VUqqvEWOMt2PokIjsMMZM8HYcnTF16lSzadMmb4ehVLsyi6v5xWs7WXuwkEA/Hx68YizXTkv1dlidVl3voKahkdjQwI5nVkop1SYR2WyMmertOPqLvtLc3rsicpG3g1Cqv3hvdx5rDxYCUOdw8usVuzlSUOnlqDovJMBPk2qllFK9Tl+pCvIF8LqI+AANWC8wGmNMhHfDUqpvKq6qbzZc53BSWqPvAyullFI90VdKrP8MzAJCjDERxphwTaqV6r7pQ2IQOTE8Y2gMIxPDvReQUkop1Q/0lRLrA8Au0xcqhCvVB5w3Io6nlkzjiyNFxIQEsGBsIiEBfeVyoJRSSvVOfeWXNBdYIyLvAnVNI7W5PaW6R0Q4f1Q854+K93Yo6gx18HgF9Y1OxiRHejsUpZTymL6SWB+x/wXY/5RS6pTJKa1m3cEiIgL9mDsqniB/X2+H1K+sPVDA7cs20dDo5O/XTebSCUneDkkppTyiTyTWxpgH25suIn83xnzndMWjVF+QV1bD1mOlBAf4MiU1mvBgf2+H1CdU1Dbwk1d2st5uNeWBRWO4+ewhXo6qf9mZVUadw+qSYGtmiSbWSql+o08k1p1wjrcDUKo3OXC8gm89s4mMomoAFoxN4A/XnEVkiCbXHSmsrHcl1QCfHyrus4n1lqMlPPN5BnUOJzfOGszZwwZ4OyQAZg2LJSEikMpaB+cNj/N2OEop5TH9JbFWSrl5f89xV1IN8N7u41w9uYgFYxO9GNWpUVJVz6aMYsKD/ZmeFoOPj3S8UDviwgOYOzKONV8VAHDu8N6RjHZVYUUd331hK1mlNQCsP1jIW985l8Gx3u9lc1JqNO9+dw6NxklceJC3w1FKKY/RxFqpfqii9uQ2qSv6YTvVNfUO/ufN3by1PQeAv37jLK6aNKhH6wwL9Ofhqyfw2aFCIoL8mD2ib5aoltY0uJJqgPJaB0WV9b0isQaICdPXZZRS/U9face6Iz0rolKqn5kxNLZZO9VRwX5MHhx9yraXVVzNS5syeeHLYxwpPH09OB4vr3Ml1UCzKhw9kRgZxNWTB3HhmEQC/frmi4tJUUEsGJvgGp6eFk1abIgXI1JKqf6vv5RYP+LtAJTqTeaOiOOJm6by8VcFhAb4cvG4RIbGhZ2SbR0rruKW/2zkUEEVAPHhgTxz63RGJZ36PpxiQgOYnhbNhowSAMYPjDrl2+wrQgP8+N8rx3HBqHgcjYa5I+OJCdNu4JVS6lTqE4m1iHwAfN0YU2oPRwPLjTELAIwxT3svOqV6HxFh3ugE5o1O6HjmHvp0f6ErqQbIr6jj46/yPZZYNzoN6w4UkltWw+ikCM5KiXJNiwj258+LJ/LJ/gIig/25cLS2y+0uPjyIb0xL9XYYSil1xugTiTUwoCmpBjDGlIiI/oIq1QvUOxpPGlfbyrjuen1rFj9+eQcAQf4+PHPrdKYPiXVNT4kJ4ZszB3tse0oppVR39ZXE2ikiqcaYYwAiMhjQ7s2V6gVmDo0lNMCXqnormfb3Fc4d5rkX/p7/8pjr79oGJ58dKmqWWLdnb045BwsqGBwTygS3km6l+ruS6no+3V/A4YIqkiODOG9kHImRwd4OS6l+r68k1vcD60TkE3t4DnCHF+NRStnGJEfy39tnsHpfPg6nkzkj4pk2JMZj60+NCWHLsVLXcGRQ59ri3nS0mJuf2kBlXSOBfj48uWQq52qbyeoMUFbdwC9e28m7u/Jc4yYMiuQfN0xmULS+wKrUqdQnEmtjzCoRmQzMxGoB5AfGmB6//i8iF2O9+OgLPGGMebjF9BuAn9mDlcBdxpjtPd2uUv3NpNRoJqWemlZH7pgzjGNF1ezMKePyCclcelbneun74lARlXVWKXqdw8naA4WaWKszwmeHCpsl1QA7ssr4aO9xlvTRzo6U6it6dWItIqOMMfvspBqgqV2tVLtqyJYerNsXWArMB7KAjSLypjFmj9tsR4Dz7DrdlwCPAzO6u02lVNeNSY7gv9+aQWWtg+jQAPx9O9dKaExo83aStd1k1R35FbUcLqgkOSqY1Jje0QZ4R44WV7U63r3TqN7OGIOItqSr+p5enVgDP8Sq8vHnVqYZ4IIerHs6cNAYcxhARJYDVwCuxNoY85nb/F8APet5QinVLSEBfoQEdO1ytXB8EpnF1by35zhzhsdx5cSBpyg65Um7sktZvS+fcQMjuWDUqW/Vpj25pTXc+/xWNh8rITEikCdvnsbY5EivxtQZKdGt3wCkxvT+aiA7s0t5dXM2n+4vYGpaNF+bMqjT71Qo1Rv06sTaGHOH/f/5p2D1A4FMt+Es2i+Nvg149xTEoVSvU1hZx46sMkIDfZk6OAbfHnYT7g1RIQH87JLR/HjBqC7FryVlnbc3t5yMoiqGx4eRHh/e4/U5Gp38z4rdbDlWir+vsPK7sxme0PP1dlZ1vQM/Hx8C/KynIrtyyth8zGojPa+8jo1HivtEYn12eizzRsfz0d5817jRieGnpfnNnjiYX8GtT2+ioKIOgMOFVby5PYcXvjXzlFU1U8rTenVi7U5EzgbScIvZGPNMT1bZyrhWWxoRkfOxEutz25h+B/bLlKmp2mas6tsKK+v44Yvb+fRAAQC/vnwMt5zTd+tldjap3plVxtI1B8ksqub6Gal8fWqKK8ECqKxr4MDxSsIC/U5rstdbbTpazJInN1BV30ic3SnQ6B62XS4iricTfj4++J3GG7rVe49z/xu7GBQVzP9eNY5RiREkRgYR6OdDncMJ0Gde/IsOCeCP10xg3cEC9uVVMjAqmPNGxvX6+D/dX+BKqpvUNjhZvTdfE2vVZ/SJxFpEngWGAduApgZyDdCTxDoLSHEbHsSJOtzu254APAFcYowpam1FxpjHsepfM3XqVG0GUPVpOzJLXUk1wF8/3M9VkwYSFdK9Osp1DY0E+rfdLXhOaQ2r7BetLhmXSFLU6W8SrKymgR+/vJ2vjlcAcP8bu4gLD+SisYnW9OoGHnxrN69tzcbPR3jk2olcOiG5w/U2Og07s0qJCgkgbUDfqJ/bWZszil1NLBZU1LHtWEmPE2tfH+GBRWNYf7CIUYnhDDlFvYW2VO9o5Dfv7CG3rJbcslre3ZnLqMQIxg+M4qmbp7H5aDHp8eHMHdk3Xn5df6iQJ9ceJizQn2/NHsL4QVHeDqlTiqrqWx2fV1Hb7nLVdQ42ZBQTGujH1MHR+sRJeVWfSKyBqcAYY4wnk9aNwHARGQJkA9cC17vPICKpwGvAjcaY/R7ctlK9Vsu6zHFhgc1Kbjsrr6yWv36wn3UHC7lm8kC+PXcYoS3W7XQaHnp3H29tt+5pt2eV8rdvTDztP4yl1fWupLpJVkmN6+9NR4t5bWs2AA6n4fkvjzFlcHSH7QK/tiWLn7yyg+gQf57/1sweJ569ycAWpZ8th7srPT7cI9VKusLPx4chsaFkFFov97m/+HpO+gDOSR9wWuPpiZzSGu56djPltQ4AMourWX7HzHZvbnuLUYmtf+8TBrZf/eafnxzi76sPIgJLr5/EwvEd3/Qqdap0/dfSO3YBiZ5coTHGAdwLvAfsBV4yxuwWkTtF5E57tv8BYoF/iMg2EdnkyRiU6o2mpkXzP5eNJiLIj2FxofzuqvFdfnEQ4K0d2by4KZPs0hr+b/VBPvmq4KR5qusb+eLQiQdBXxwuoqbBc702dtaA8EDOdUuefARGJp4oLXWvTnLp+CRyy2qZ/5dPeWljJu35Ks9K1kuqG8gq7jstMnTG/DEJ/GXxWXx7zlD+ccOkZvvPWypqGnh5UyaPf3qIvbnlnV7Ox0f45aVj+PFFI/nfK8ZxwagEln58kO88v4U3t+Xg2TKdU6uyzuFKqgEyiqpcVVl6u/NGxPG1KQNbjBvARWPa/vlvaHTypn1jbozVrKBS3tRXSqwHAHtEZAPgqoBljFnUk5UaY1YCK1uMe8zt79uB23uyDaX6Gj9fH249dyhXTR5EoJ9Pt5JqgOq65glyTUMjxVV1fLwvn+zSGsYNjGT28DhuOnswf37feiB006y0bm+vJ0ID/PjdVeN4fWs2pdUNnDMslnPSTzz2nzEkhm/NGcpzXxylsraBw4VWc2b3vbaDaUNiGNJGNY/Lz0oms6SatNhQpnqw05zeINDPl6snn/qGko6X11JcWc/Q+FAC/dovdX368wzXsTQo6igvfHsmKZ0sSR8WH8a9F6QD8OznR/nje18B8PbOXAZGBzFlcN/4/lJjQrjlnDT+sz4DgO/NG05EcOc6VWrLvtxyMkuqOSslivjwIA9E2bqI4AAevGIcl5+VTEZhFUmRwcwYGktkO/H7+/pw3fRUHn53H/6+wrS0E99TbYPVOZRWDVGnU19JrB/wdgBKnWmiu1mnuslFYxN5c3sOhwqqmDNiAGcPieWhlft4eXOWa56Hrx7Pt2YPZXJqFIIwJc17LygNjg3l+xeOaHVacIAfP7loJDdMT+XR1Qdd4319hPberzsrJYp/3TjV06GeMQ4XVHL7sk0cLqzih/NH8N15w6l3OPlwTx4ZRdWMGxjBnBHxrvndW8HIKq3hWFF1pxNrdyXVJ+r6GgNlNY525u5dgvx9+emCkSwYk0CAny9npUT1aH27csq47vEvqKh1cOHoeP5+3SSCT+HNb2iAH+eNiOe81k/FVt16zhCmDY4hJNDXVd3qja3Z/GHVPqakxXD/wlGd6s79WHE1b2zNJizQj6smD+zxNVCdmfpEYm2M+UREEoBp9qgNxpj89pZRSnnX6KQIXrxjFoWVdSRHBXO0qLpZUg3wjzUHufys5Galw71VgJ8PaQNCufmcNLJKqsksqeHnC0cxOLZ/vZTYm+zNLXc9HXj2i6Pcdu4QVu3O40cvWR3g+gg8fct05oywjp/zR8WxLbMUgIFRwQyO7V697wtGxfPypkwyS2pYOD6RiT1MTk+34AA/Zg7zTNWcjIIqKuyqJav35VNW03BKE+vKWgfV9Q5iwwI73aJPgJ9Ps5vy/PJafvbqDuocTnK253D2sBiumz64w/U898VR/vXpYQAC/Xy4YWbHyyjVUp9IrEVkMfBHYA1WM3l/F5GfGGNe8WpgSql2DQgPZEB4oD10cj1Vp2mjjctebNzASJ771kwaGp0E9YEXwk6X4+W17MwqJSLYn7NSojqsttEZo5MiGBYXyqGCKm6aOZjQQD92ZpW6pjsN7M4pcyXWt549hOTIYIqr65mT3v3m5cYNjOTVu86msLKelJhgwoN6VpWiL5uYGsXUtGg2ZZTwgwtHEHcKq4JszCjivld2kllSwzdnpvKDC0cQ3o1qLEH+vqTGhHAgvxKAmNDADpawON3q0jv7UL161bv0icQauB+Y1lRKLSJxwIeAJtZK9REjEyO4atJAXrdb1wC4e+4wwgL7ymXoBF8fwddHk+omRworufPZzXx13Epkvn/hcL43b3iP67YOjQvj+W/NpKSqnqF203tDBjRvgm9I7Inh8GB/vj41BU+IjwgiPuLUJZHecKSwio/3Hae63smsYTGdqjc+KDqE/yyZRnF1PclRwaess6iaBge/fH03h+wnFE+tz2DcwMhu1eOPCPbnkWsn8fFX+aTEBHP+yPiOFwJumJFKSIAvIYF+XDohqcvb7anS6nrqHU4ig/2prHOQVVKDv68wLC6sT7Tqoix95RfNp0XVjyL6TosmSimsx7W/vHQ0Zw+LJbu0hrHJkZw3ovdXAVFQVFnHim05VNc7uHRC0knJ7dr9ha6kGuDvqw9y2YQkjzSblxARRIJbgnv15IGIWEnihIGRzBvTuaSpPTX1DqrrG4kN61zJpjdU1TVQ32hc9X4bnYZP9xdQ52hk7oh4ggLaT7zyymq445lNrlLcAF8fnr1tOjOGdtxdeHiwf7dKjruitt5JTmlNs3Gl1Q3dXt+Y5AjGJHetecu0AWH8YP7Ibm+zNcYYymsacALhgX74+Z6cuuzMLmXljjye33CMwTHBjE6K4OOv8smvsOr6zxwaw81np3HRmER8+mAvuGeavpJYrxKR94AX7OFvoN2LK9XnxIYFeqxEUZ0+L27M5A92Kxl7csv5xw1Tmk13tnhqbozpVBWfgopaQgP9utQSTHiQPzfNSuv0/O4aGp08/+UxXtuSxTnpA/jWnKEYY7jv1Z2sO1jI36+b1Cu7/f4qr4KfvLyNjOJq/vL1iVw4JoHPDhZyy9MbAfjL4rM6LNndlFHiSqoB6hudrD1Q0KnE+nSICvHn5nPS+Lv9cnBEkB/ThnTtZebjZbXkV9QSHODL0AFhpzwJNcaw6WgJnx0spLzGQXpCGHOGxzEwOpiymga+OFTE2ztyWHuwEKfTWCXwkwZx7vBY18uUnx8q4o5nN1FR6yA9PoygAD9e3NT8XZQvDhfzxeFi/vT1s/jalFPfEo/qmT6RWBtjfiIi1wDnYNWxftwY87qXw1JKqZMYY/pd816FlSdayTiUX0mj0zSrEjBnxACGDAjhiN3Byl1zh5HeQa+J7+/J47svbGV2ehy//9r4TteD7YkvDhfx6zd3A7A9q4zBsSGMSozg/T3HAfjycFGvTKzXHShgR7bVLvdT649w4ZgEGhpPtE3d0Il2qv1b6eTJ3/f0Vy+odzjZmllCdkkNIxLCGWd3/iIi3HXeMEYmhlNSVc+k1GjXtI7kl9fy4qZMnlx3hNLqBnwEFp01kJtmDWby4FPX0tDLmzL52Ws7ca+OPSwujN9dOY6law6y9kBhs/k/O1TEZ4eKGBwbwiPfmMSQASH84rWdVNQ6GBYXypzhA3jKbiaxNQ+8uZtZQ2M81hmTOjX6RGINYIx5VUQ+wI5ZRGKMMcVeDksppVxW7szlHx8fZFRSBN+9YDip3WiVwtHopLLO0e0u5E+FRWcls+5gAcVV9fzsktEn1bNtqgu99WgJkSH+TBkc0+HNxcYjxdQ2OPlg73G+W5J+WhLruhadD9XUO0mPD+Pe89PZlFHs6sK+txkSF4qPWE8GmtppPnd4HEuvn0R1fSMXj+s47mlp0ZwzLJb1dodM0SH+XDCq59VousIYw2OfHOIvH1htjfv6CI98YyKXnWX1lBgS6MdlE7rWa2JZdQO/fGOX6+YIrP30xrZsVu87zrJbpzMptXvJdYPD2eoNCcCB/Ap++cZuWr7jeKigkuc3HGVkQjgOp+GLw0UnzXO0qJp7n9/C9+cPB7HOr6ySava7VadqTWWdgy+PFHO1Jta9Wp9IrEXk28BvgBrAiVVqbYCh3oxLKaWaZBRW8r3lW2loNOzKKSc1JoTvzhvepXXszC7lbx8eYFNGCV+fMog7zht6Sjvk6KyJqVG8cc85OBpNm52NJEUGkzSh47aCmywYm8je3HKmpcWQHt9+6banzBgSyzdnpvLChkzOGTaAeaPjCQ3048cLPFuv1tPOHxnP8jtmUlbjYOZQK7EO8PPh0i4koTGhgTxy3UQ+3GN10DQyIZz0+NPbVOS+vAr+9uF+13Cj0/D/Vu7l3OEDun0jue5gQbOk2l15rYMXvjzGxJSoTj9Fqqp38N6uPFZsy+ZwYRWzhsZyxcSTmwTdcrSE+sbWnxSs2nWcb85Mpa6hkcVTU3hzWw41DY34CPiI4HAaymsbKK9uYGRCGG9uzyE1JoRg/457nS1ye3qkeqc+kVgDPwbGGmMKO5xTKaW8wGma1zXuanNd9Q4nf3l/Px/bXb8/se4ISZFB3Da7d5QfeLpHzKlpMfz39pkeXWdHwoP9+Z/LxnLvBcOJDPI7pe0xe5KIMH2IZ+pCP/fFUXbmWNVKfn35GG45Z4hH1tsZxVX1J9XHzy2vpaK2+09oPrNL4Nvy6tZs7j4/nbQ2ekd1V+9w8rcP9vPvtUdc4zKLs3hlcxaPXj+ZheNPtBTS0Nj2+d3gdJIUFUxNQyNFlfXce/4wMktqKKy0Oo4eGBWMwfDS5iziwgO5bEISB45XMCA8gK9av0dwiQ49c5t+7Cv6xlUFDgHV3g5CKaWaGGPYnVPOseJqRiSEkR4fzp++PoE/v7+f8QMjueKsZJxO0+4LVHtzyimqqmN0UgQG+Pxw8yThiN30WF9XXFXHq5uz+OxQETOHxnLN5EFu7ZufXgF+PiR2oRm96nqHx28qvCWntNaVVAOsP1h4WhPrMUnhpMWGkFF04uf8ionJDIwKprymgfyKWmJCA7pULai4qv0S3EanodauAlRSXc+XR4ooqKhnZEIYk1Kj8XdrpWPrsZJmSXUTp4HfvbOHWUNjiLZjG5MUgQgnVfMAmDN8AI+tOURRVT3T0qJ5d3ceu7LLm82TFBnEWSlRrNqVB8C80fFEh7SfNIcG+DLTQzdY6tTpK1eLnwOficiXQF3TSGPMd70XklLqTPbW9hy+/+I2nMbqpe3xm6Zy1aRBXDQ6gVe2ZHPjUxtICA/ivoUjmZZ28o/hR3uPc9d/t1Df6GT28AGulh2e//KYa57u1g3tbV7cmMXvV+0D4OOvCqhvdPKdC7pWTeZ0M8bw1LoMHl97iHsvSOfGmWneDqnHkqOCGJccwS47uT7bQ70zdlZ0aCCPXDuJp9YfYcORYi4Zl8RNswaTVVrNT1/ZwReHi0mPC+P/rpvImOSTX1z8/FAh6w8V0eBwMmVwNOeNjGNUUjjv2slpaxIjg4iPCCS3tIbvv7iNL4+ceDXr9tlD+P4F6YQFW6XlW+1eO1uTXVrLrpxyzhoUyboDReSWVXPJ2ERW2tueMSSGqJAA/HyEtNgQPj1QiK+PMCAssNX4cstqSYqsIzEiiLzyWj7am8+SWYOZlhbNxoySVmN44PKxDIrR+tW9XV9JrP8FrAZ2YtWxVkoprymvaeDhd/e5HmvXOZw8ue4wc4YP4MuMYlfLE1klNXxv+Tbevnc2MWHNH3Wv2pXnqqO59kAhu3PKuWfuMAZGBnGwoIpZw2JYOL53vkzXVav3NX++/e7OvF6fWJfWNPDIR/spr3Xw948OcvbQAbyzM5e6hkYuHJPglZueY8XVvLc7jxB/XxZOSHK1ad2e7ZklvLolG2PgmskDefT6yaw9WEh0sD/zRnvu5cVDBZVU1joYkRDWbhWbs1Ki+Ns3JlLnaCTI35rvX58c4ovDVsJ7sKCS17Zkn5RYr9yZy73Pb2lWleTe84dxTvoAfH2ERqdhyuBoIoP9WX+wkDq7o5U75wwlJjSQpR8fbJZUAzyx9gjRIf58a/YwAvx8MB1U3wrw9eHlTZlsPlpKkL8PCRGBXD0pmcTIYF7enEVBhbX+6BB/Fk9NIaekhvWH2q7BuuVYCRePS3SVWn91vAJ/Hx8um5DEZ4eKXKXx09KiufWcISzopS/Xqub6SmLtMMb80NtBKKUUgKPRUF7raDautLoBYyC/vK7Z+JzSWspqG05KrJOjTrzo5+sjRIcEMDA6hHt6ecLZHWcPG9CsFO68kb2/Y6DIIH++fd5Q/rnmMLedO4TfvLWbT+zm017YeIzvzRuO02l9lqEdNC3oCcYY/t/KPazaZd2kVNQ2cOfc9HaXyS+v5d7nt5JZYnW88uHePF6/+xxunDnYIzHVNTSyMaOYXTnlvLMjh53Z5cxOH8Dvrhrfbos4IuJKqoFmTQeC9QJhRW2Dqyv5ipoG/vLB/pPqZ/977RF8fYQHF41h3YFCdmSVsSOrlMVTU6h3NHK8vI49ueVszijmq7zmVTGa5JbWsiunlMmpMYwfFAVAYkQQk1KjXM1KNjoNA6OCeH7DMd7ZkYvDDiQ1Jphbzknjrx8eoLzmxPWgpLqBFduyufWcNNYebP/VMKfbh8oqqSEiyJ/PjxQxY0gMEUH+nDcyjmsmDeqwAyDVe/SVxPpjEbkDeIvmVUG0uT2l1GkXExbAdy5I56F397nG3Xx2Gj4+wtjkCIL9famx63XOGx1PfMTJdUavnZaCw+kko6iKy8Ync1ZKVLfjOVZcze6cMpIig5gwMKrX9c523fQU6hsbeXdnHheNTeTGmaneDqlDPj7CXeelc/30wZTW1Df7rourGlh/sIj39xwnZX0wz942o1Mvx7VlzVf5rNiWQ4i/L9dOT3EleO7qHE52Zp1IDrNLaztcb1FVvSupBsgtq6Owss7VOUlP1Dka+csH+3l87WHOGxHH5FSrtHjtwULe3ZXLt88b1u7yTqchp6yG8CB/LhydwKtbsjhSWE1ksD/V9Y0s+vt6vj9/OJdPSKa4qp6D+c2bogv29+XC0fEcLqxi67FS0gaEklNm3XR8cbgIEA4VWMt8vC+fW84ZQp3DiTGwN6+czGJrvxRX1/OX9/YzJS2GitoGvjcvnfzyOl7YmOna1rS0aBIiglixLadZDMeKa9ieWUqwvy8VtY5m9a1rG5xU1TVy5cRkiqrqT2rTGkCEZq2VxIUFklNWgzFWpzADwgL4+cLRmlT3MX0lsb7e/v/nbuO0uT2llNfcNGswg2NDOFJYxZikCM5Jt+qrjh8UxTO3TWP9wSLCAv1YOD6JUPvReHFVHXtzKxgYFUzagFB+smBUj+PYcqyE257eSInd/fP/u2oc189ou0TS6TQUV9cT7O9DaODpaWEgMTKYn108mh9fNOqkNrB7Mx8fITo0AB8fYcLASHZklwFW19SNdhaVWVLDuoMF3U6st2eWcsczm09UCzpUyCvfnkV8ixcsg/x9+cmCkfz45e2EBfpyqVsLFW1JjgpmxtAYvrSrWUwZHMXAqM7X0a2tb+TtnTmsP1DEgIhALp+QxAQ76T9wvIJ/fXqYBWMT+fxwIWu+KuCmWYP58kgxeeXtJ/25pTX87cMDvLw5k4HRwTy4aByPXj+Zf31yiPIaB1uOlTAuOZJ3dlhVb+aNTmB0Ujh7cytc61g0MZmXN2W6SrHdX3gckxTBJ/sLXMMFlfX4+Qqr9+XT0Gi4YFQ8TicMiw8lOtifmJAAduWU8dHefMDq8OjrUwbx8marB8R6RyOf7M8/6XPMGBKDj/iQEBHE1MExZBRVsdvt5dC88lre232c6BB/vjkjhX15lfj6CIcLqyioqGPW0Fg2ZpwoH0yOCnbV806ICOTR6yYzpAc3bMo7en1iLSI+wH3GmBe9HYtS6sxTUFFHQUUdqbHBhLklosEBflw8rvXkZlpa7EkvLFbVNfCL13axanceceGBPHPrdEYnRfQ4vnd25LiSaoCHVu7jwtEJzRKzrJJq/vvFUfbklDN4QCgvb8pkyIBQHrp6PBNTTl9dYV8fYfPRYrYcLSU5KogLxyQQ6Nd+aVxpdT3v7crjUGEVoxLDuWhsQrPvwROySqrZlV3GoOiQVnv7iwz2549fP4s3tmWTWVyNv68Pb2zLdk2vd3StaUV3x4qrmrWHfKyomuPltScl1gBXThrI1LRoAnx9Wp3eUr2jkf+9YhzrDxZijGHe6ASiQzvfrN1rW7P5xes7XcOvb8ni1bvOZnBsKL5itaZhjHFVg9iRVUZsaCBTOujt8M3tOby4ySoRziyu4fsvbuUPV0/gze25nDcijriwINcLf+/vOc6Egce4+ew07n99Fw6nYVpaNKv35TerGvLxV/lcPiGJ0EA/IoL8mlXVSowI4sO9x11N5K3el899F4/kre05fLrfKkmODvHnG9MGUdvgZGdWGdklNVwxMZmD+RVcPDaJP7z/VbPPEBnsT5C/L69tzXZ99ssmJLEvr4JGO7D0+DB8RYgM8SfY35eMwioanIYRCWGcPzIOXxFXc4Hnpg9g6IBQbj47jbHJEZybPoCkqJ4/WVCnX69PrI0xThG5B9DEWikvq6xr4IvDxZRVNzApNeq01C31psMFldz93Bb25VVw9aSBPLhoLOFtdJDSkbzyOlbttpKFgoo69uaWeySxrmuR1NU3OnE4m9dZXfZZBv9ee4RLxiXy7OdHAdibW8Gjqw/yxJJpPY6hs3bnlHHjkxuorreqyfzhmgksnpbS7jL/+vQw/1xzyDX880tGNatm4HQaSqsbCA3y7TBJb81nhwp5b1cer2zOwuE0/Pe2GUwbEnPSfCMTw/nZxaN4a3sO33lhq2t8SICvq9OWziisqGNvXjnx4YGMTIwgLTaUQD8f6uxuydNiQ0iIbDtpHtRBr3uNTkNRRR3/XneYZz4/SmxoAD+YP4KrJw/q0tMCp9Pw/JdHXcOjEsNJjQlhZ1Ypg2NDGZEYzk8XjOSzQ0Wkx4eRWVzN3BEDSI0NZf6Y9ruFP1TQvBnJ8hoHpbUNDI8Po7Cyjt055SRHBjExNYqGRoO/r/Dmthx+d+U4NmYUEx8RdFLLGWU1Dby1IxeAb85I4aZZg3l5UxZRIf7cODPV9bQBICLIj+zSWna7lYAPjg0lOiSAxz453CzO284dwitbshkeH9asZ8RJKVEnNY/5VV4FqTHWU6zLJySzfEMmRfYLiMH+vlw6IYlXNmexMaOEjRkljBsYweUTkogK8cffz4fzR8UxeXDnjyXVO/X6xNr2gYj8GCu5dp2RWsdaqdOnztHIb9/ey3K77mFUsB/Lbp3Ro7rBvd2GjGL25Vk/vq9tzebGWYO73RpEYkQgC8cnsnJnHvHhgYzxQFINsGBMAi9uPOYqjbvn/HSS3R73O52GD+1H3C07rXEv6e6Osup6XtyUydHCauaPTWDuyPZbmTiYX+lKqgF25ZSxmLYT67yyWp5s0a7wE+sOc/2MVMKD/KlzNPLYmsM8/ukhzk6P5YFFY7tU1WH1vnxuX7YRgMvPSmbFthx255QxNS2aTUdL2JFZSmxYIOcOj2VAmJXsXjwukX9cP4k1+wsID/LjknFJrTYN15q9OeXc+dxmjhZV4+cj/PFrE7hq8iAev2kKb2/PJSTAl69PTelWb5tOp2H5xmM8ue4I4wdGcriwijqHk5yyWn7yyg4SIoKYMyKO2vpGVu3OY3tWKQOjgrlkXCID3ZL1nNIajhRWERPiR5TdrvLC8YnsP17J+3uOs/ZAIUVV9dwwYzB3zBnKOekDcDidxEcEkdLJrrYnpkTy0qYTdZgHRQdTUlXH/DEJvLE1m9SYEIbGhbJy54lm6mYNjaWkqp4P9+Uzo422nIcOCGVUYjgDwoKoqnPwrdlDOFpUzR/e28+t56Rx+VlJOJ1WNYs1X52oKjIxJYqYEH9X6bW7zw8VcvYwqym94qpjjEqMIDrUn4ggf8YmR7DlWKlr3uEJYfj7+DBvdDxvbc9xJdUANQ2NbM8sZUTCiQR9V3Y5If5+7Mkt51BBFc98dpRrp6dwx5yhpMZoFZC+qq8k1rfa/9/jNk7rWCt1Gu3OLncl1QClNQ4+3HO8XyfWqdEh+IjVQUR8eCDxPejUJDTQn99dNZ6bZg0mMTKYtFjP/HDOHhHHy3fOYkeW9fLiOS3aJvbxES4dn8ijHx8ip7SWyalRbDlWSqCfD3fPbf8Fs46s3JXH/1tpvdT36tYs3v3ubIa08xRjWFxYsxc7O7q5CPL3ITrUn+NuLa0khAfh72NVQ9iVXc5f7S6yP9iTz5zhcdw4K63T8WcVV7uqE9Q2OAn082HswEhW7srlO89vdX3vl01I4sLRCcwcGou/rw8LJySzsAvdiTdZuSuXo3bnKA6n4cG39zB7RBznjYjnvBHxlNfUs/94JTml1c1ujjpjV04Zv3h9F2CVtF48LpEdWSdKabdlljBnRByvb83i5/Z8YHXN/bdrJyECL23M5Per9rmqUdw9dxhHi6rJKqlxvTxY09DIr9/cw4iEcGYNG9Dp87+sup6CyjqC/H1ZMDaRjMJqVn+VT3x4IJHB/vx+lfU9Xj15IOlxoWzIKGlWkv/54SJGJYZRWt3AwfwKxiSFs8etxPmsQZH4+viwclceK3flERHsx00zB+Pv68PXJg9kxbZsrpueyuCYEAoq65g3Op7D9k1bclQQO7LKWm2+0MdHrLbXHU5unpVGUXUdOaW1PPflMS4dn8TopEb25lYwe/gA/H19yC+v4+Ov8k9qNQjgQH4lC8YmNCv53pBRzKXjkzhUUGU9MfniGAfzK1l6/WRiw7zTiZLqmT6RWBtjTl/XUEqpVrWsXgA0qxvaH80aFsvTt0zncEElU9NimpXsdUd0SAAzh3q+U46JKdHt1pW+aVYawQG+bD1WyrzRCfz4opHEhweSnhDeo+1W1Jwo8a5tcFLV0NjO3DBuYCTP3DqdTUeLGRgVwkVj268yEBUSwP0LR7s64gnw9eG7Fw53tZIQ7O+Dn4+4mj8LDezaT9q80fFkllTjaDRMHRLNdy5IZ1h8KFf/YxdOYyX2Zw8bwFPrM3hqfQZ/+toEvja1/aor7XEvrQeoqnNQZ++zOkcjv31nLy9tymJYXChP3zKdlE50BnK4oJLPDhUR4CfNegIcHBPCNZOSySqt5csjxQywk7QXN2U1W37lrjy+W1DJkaIq7n9jV7Np/1mfwU8XjOTBt/ectN39xyuY1YkOZg4er+CT/fnszilnQFgQtY5GBoQG8NG+fIwx7Mopc9XRnj8mgYzCal7bkk2Qvw9XTEzCz8eXoqo6QIgMCeCyCUk4jeGsgVHkVxymsNIqFR4UHcI7O3Nd2y2vcfDe7uP4+UJZjYPrZ6RyvKyOzw4VsTunnNFJ4XzngnRe3nwMjNXU3bS0GHbaVUZCA3yZMTSW8QMj+ceagzQ0GrZmlfLZwSJSY0K4ZFwi7+zM5cLR8cwblUBOaTXRIYFkFtcQ6O8LrSTWbalvdLqa9QOrRZD1BwtZNHFgp9eheo8+kVgDiMg4YAzgekZmjHnGexEpdWYZOzCSeaPi+Gif9Qg1wNeH80d5roOJ3khEmDMijjkjetbucmZxNdsyS4kJ9WfK4BiC/E9v81nxEUHcc37n2seurGvgxY2Z7M+rYHRSBFPSYhjfygt9APPHJPLRV/lsO1bK9y8cwahOJOrThsS46jBX1TWQXVrPgNAAKxmxfbzvOEs/PkRceCD3np/O2985l4yiaobFhTEy8cQ2xiRH8uj1k/hw73FGJkR0mKi3NDA6hPsvHdNsXGl1PTl2U3aDY0LZmnmiLu87O3N7lFjPHRnHss8yXDcCd8we6rpZK6tu4LUt1otwhwqqOFJY1WFifay4ituXbeJwYRXhgX7cMXso6w8WMig6hPUHCxkcG4oBrpqUzFy77fDUmBC2ufUwGOzvS2ign2vb7moaGnlli5Xot6wXndyJF+t22J3TfLK/gHOGDeCtHdnklllPHxaMSWB71omkeuiAUHJKa1ytahgDjU54adOJnkg/2JPH16em8OJGq/rRt+cM5WB+FYH+PlTVtV5C/N0LhvHJ/kKKKhvYlVPmKuXellnG9qwy7pg9xDofd1ldvF85cSAGg9NpWLU7jy8PF3Hp+GQ2HClib045w+JD2ZVdTqC/cPPZaXyyv4AP9+YzKDqYyyckMTwhlLOHxXC4sApHo3E1qffZoULGJUeyP6/ipDiLq+qJDPZv1j37F4eLNbHuo/pEYi0ivwbmYiXWK4FLgHWAJtZKnSahAX48dM0EPt1fQElVA9PSYpiYGuXtsHq9r/LKufk/G1wJxQ8uHM73Lhzh5aja9vHeAv737b0AJEcGMfpAAb+5YlyrpfVD4kJ5+uZpVNY5iA0NPKn9bKfT8PnhIgor6xg/MLLZy65HCiv5xeu7+OJwEYvOSuZ/LhtDbFggR4uquOu5LdQ2WE9DqusbWXbr9DbrMV88LqnN1lm6IyokgG/OTGXpx4fIKa1h1rBYV/WNWcNOrtubV1bLwfwKhsaFuqpvVNY68PXhpB4IZw+P48Vvz2TbsVISI4OZM+JEiW9MaAB3zx3G/60+yDnpsc1uINqyM7OMw4VWwltR5+CJdUe4+ezBvLAhk+r6RnbllHPJuERmD49zxfbNmal8eqCA0uoGfMQ6Hl/ceIzqOgcLxiZQ2+Dks0OFrjr7u3PKefjqcfz6zT2uahlXnJXMhIGR1DsaqapvJCrYv1l7zGDdNH249zjv7MwlJTqEmgaH6xwAeG/PcX5y0Qj++L5VBWR4Qhjv7T7RQ+c56QOalUCDVSVrzb58bjs3DaeBmvpGUmKC2ZVd1mq1iSGxIaz+qoBd2eVszypj0VnJOJyG4fHhOJxOAv18Kaiop7CijjFJEezJLeeNbdlcOTHZ9SJkQ2Mjb2zL5utTBnIwv4rcMuuma3h8OE9/luHaVlZJDf/85DD3np/O61uyyC470eSgr49w4eh4kiODCQ/y54h9PDUJ8POh3tH86V9ZbT2qb+oTiTXwNeAsYKsx5hYRSQCe8HJMSp1x4sOD+NqU7pfYnYk+2V/QLKF49OODXDlpIIM9VMfa0xrdXnB0OA2lNQ6Ol9cxMDqEoqo6jMFVrQCs5LGtLqxf3pzJz161mmtLiQ7mqVumMTzeShjf25XH53ZTYyu25XDeiDiunjyImvpGV1INVsLiaHTi5+vj8c/alpvPTiPI35dXt2QRHxbIA5ePITEyiPNaPLkoqqzjnue3sPloCeMHRvL4jZNZs7+QT/fn0+iEBqeTO+cMY8bQEwn5lMExTGml5Qc/Xx/uvWA410weRExogKv1mS8OFbIts5Rh8WFcMCrB1bKHo9F5UlUsXxHyyuqaVTlpdBrc73emD4nlne+cy768CoyB+17dwcTUKGodjazfXURogC9XThzIB3uPU1rdgL+vkF1Sw/2Xjqa0up59uRVszSxl6ZpD7M4uY//xShZPS+F784YT4dZizheHijlSVE1hZT3npg9wJepNRKyWPO6YM5SMwiqGDghl7sgBhAT40dBoSIsNYfW+5m1HJ0QEMnVwDCH+vuSV1/Hp/gKrvvSoeIqr6hmVEM6+41aJcKCfDwvGJTZr5aOq3sGwuLBmCXtT29tx4dbLxY1O02y/Nr1jgQgjEsLZmlnKhEGRJ3WP3uSFDcdIjw9rllg3Og3v7T7OlMHRjExs/g7CtLRoxidHEBHkR355nasd6zGJnnm5WZ1+fSWxrrGb3XOISASQj764qJTqA3xalOT5iJw0ztPqHU5Kq63Hy4FdrHYyb1Q837kgnV3Z5USH+oOxEpr3d+fxo5e24zSGP379LBZ20EGJ02n4z/oM13BmSQ2bjhS7EuuWJZxNw0PiQrnzvKE89slh/HyE7184vFlSXVpdT7C/b5c/V1fEhQfxnQuGc+d5w/DzkZNibZJXVsvmo1ZVkZ3ZZWw6WsIvXt/JxWMTeX+P1aLFV7kVvPeDOa7uudsT4OfDYLcOQbYeK+Gmpza6Er3Hb5zCRWMTqW1o5G8f7ue1LdksOiuZlTtzCfTz4YqJybjn2tMGRzM4JoS8slpe2ZzJnBFxxIcHMTA6hIHRIfz0le3UOpw0NBo2Hy0FoKreqv5x86zBfLSvgHEDI3hqfQZV9Y0Mjg1hQFggjU4nh/Ir2Wy3iPHkuiOMSgzn627VZLZmluBoNCw6KxmngYHRwc2qlCwYm0hpTQMv2XW+ReCmmYNZZjcHuWBsoiupDQ3w5cpJA3E0GspqG9iSWcr6g0VMSokiJjSA17fmcO3UFGYNi+Xs9FiC/H05VFDZ7KVXgJSoYJ7bYFUtCQ/0o7Lewb68choanWzLLGWb/W72wvGJhAX6ceHoBKrqHfj6CPFhgRwrsUqaEyOCmr0YClbVuJlDYwjw8yEssPVjc/PREiamWE9eokOsHic/2V/gajpwUHQwi6emsGpnDnNG9qz6mfKevpJYbxKRKODfwGagEtjg1YiUUqoTzh8VzwsbjrkSih9dNLJTL6V11/GyWn63ci/v7spl5pBYHrxibJfaGw8P9udHF41kR2YJueW1PPv5US5/dD2XjEukwq7H+oMXtzElNbrd9pZ9fITBsSGu5gqBZiWaC8cnseFIMesOFnLVpIGuOsCBfr58/8IRXDIuiWB/X0a4VYl4Z0cO97+xi4kpUfz2ynFttum8PbOU8toGJgyMIjKk+53J+HdQSj54QIirh77Lz0qmodHgIydeQgOobmhsNtwVRwqtzmNSYoKZlBLN6n3H8fURgv19XCWxa77K587zhrIjq4yXNmURGujHJeOsktdzhsXyp/f3u763eaPj+ft1kwgJ8KO0up5Vu/MYFhfKvrwTvQWOHxhJakwIn+wvJCLYj4ggf6JDA6iqr+FoUTVjkiOYMTSG93blNYs1z62E1hhDfkUdQweE8u+1R7h4XAIH8yuJCPJ3Jcxbj1klvyeWsY6ZheMTcTQahg4I4acLRvCPNYe5eFwSz2845noxMz48kIvGJPD+nuNcPC6RSSlRFFXVs3pLPgG+PkxNiya/vI45wwdw27lpHC+vIzYsgMExoSREBHL2sDgyS6pJCA/Czwf25jSv95xfXse101J4cv0R1zYHhAVwzeRBgFXSHhsaYPdg6svEQVGEBfmx7mAhtQ2NzB4+gMsmJPH2juZVWQDyK+rw8xHOHxXv6tmxSVZJDS9vzuQ3i8YyfmBUF44U1Zv0icTaGHO3/edjIrIKiDDG7PBmTEop1RnD4sJ44Vsz2ZFdRkxIQLNk4lRYuSuXN7fnALD2YCHPfXmU+y4Z3WGS2NKElGiObM1m3UGrusb+4xVEh/i72r42dJwsfveC4ZRVN3Agv5IbZqRyvls71ykxIfzjhsmU1zYQFRLQLL4gf9+TmnFzNDr50/tfUVrdwJqvCtiYUdxqYr1yZy7feWErjU7DlROT+e1V4zzeU2OTsEB/fnPFWO49P524iEAOF1ThZ9e7GD8wkpLqen5+ySiiWmnGrTNGJ0UQHeLP5NRoVmyzvtOXN2fzmyvGuuYpr3Xw1fFKPj9chMNpKKtp4N1deUQE+TEwOtiVVAN8tDefPTnlTBkcTU5pDckRQRwpqmLCwCiOl9cRFeLPzCExZJbWWG0y2z1MLjormVc2Z3H2sAGMSYpgX245E1OiXDeL4YF+BAc0L6X19xW+PFJsdVjUaNWV3+r20iTA2YEnqsjEhwdSWFnXrO3qy89K4vbZQ/j3pycSXLCSU4fTEOzvi9PpZOqQaLKKaxgQFkB+RR2jEsJJCA+grtFJQUUdOaU11DY0cqSgiiVnp/G7d/a51nXneUOpqHPgIxAbFkhRZR2bjpYwNC602TYLK+sJ8PXhknGJ+PoIM4bGUFBeR25ZLdGhARRX1VNd38iQAaEE+fshWB3V/PfLE02UgpW0n5USyc4WJd5NjLGqRk0YGMVZ+g5Ln9QnEmsAERkIDMaOWUTmGGM+9W5USinVsfiIIC7sRBfUnlBV17xJt2PFNSz7LIPbZ3e99tywhDCigv0orXFwTvr/b+++w9o8r8aPf29JSGLvvcHgBZ547yzH2aPNatqMNmmbNkn3fPt7O963u3270pVmttl7TydO4iS2470XGJu9pwDN+/eHhAxYYLBlY/D5XBcX0rN0S3qAo5vznJPArup2zEYDv7p6GinRx68KMTU9mn9/YR49TnfAVAhLiJHEYaZ0mIwGlhUmcqjxMBaTgZxBGmi8vrPWP0P8/NZqbl+az5S0UxNYgzfHPDvB+6e0KD2a+26aw5u7a5mWEc3yiQkUpQ9eBrHT7mRvTQehZiOTUqL8+dPNNjsby1twezT/uqmkX8UOt0fjcHn6ldb78GAjn12QzQMflqM1mAyKG+dnU9XS3e/xlIKWLgd3PLKZT8qbmZ4ZQ3ZCOB4NSyYksGxiIg9+VE6lbz+jQXHZ9DTe39/AV1dM4KGPD7P2YCORFhOfmp3BJdNScbo9FCRFsqOyjf99ZTeL8hNIjrJSnB7NI76gsqq1i4X58USFhlDf3uNvqhIfHsLVs9JxezSFyZH8+o3+bcNf31lLxuLcfh8Oeh1qtHHp9FT21LTz5m5vLvbKqckcarRhMikONtjYWtGGyaD4/OJc7lt7iDCLkZKc/u9H78x+dFgINa09zMmJJSc+3P8a9FXa0MlrO2v9F7Tu6NPNMSM2lBvnZ7Gjso03fB1Wp6ZFcc6kpH654kmRFianRfJrX93uQDYebuGZLRXkJ4efsg+F4tQZE4G1UupXwLXAbqD3r4YGJLAWQog+VkxK5OF15dS32wk3G4m0mvjT6gNcPTsjYAOMoRSlRfP8VxbT0uVgalo0183JAvSwgupeIUbDiGfLB/P18yaypCCRJF/gFkhB8tG0l9RoC/HhpzcwWVyQwOKC/vWd91S38/y2KsLMRq6elUFGbBi7qtv4/jM72F7VhlJwUVEKV85MZ1pGDHc/voWPy5rJjg9jUX48E5Ii/XWOk6MsLMqP5zdXT+Nnr+ymrdvFnJw4ri3J4MoZGVS0dLG/roN/vFfG9MxoJiRF+Ju7XDM7g1+/vpcD9d6Z5tV76smMDSUpysq09GgON3f1CyjdHk19ew+TUyJ5ZlOVPwXCaIDNR5qJDbcQZQ3hH++XEh0awoqJSXzr6W00djpIjbZww9ws4sNNvL23gb/5UlfyE8OZlxvHgfpOwi0m9tV1YjYZKGu0sXJqCnaX298V0enWONwaa4ih3wWtANlxoURaTeyu6WB2diwp0RYyYsKIsJiItJj8lVzyEyN4fVctLo+mvdtFQ0cP15Zk8sbuWmZlxhJpNZIcZeHZLd7/CGypgGtKMkgINzMxOZJ9voshz5+SzNaKVpYXJhIXbqbC3cUl01I51Ghjd007RelRKCA1JpSo0BA+ONDIrup2UqOtXDEjldd21qG19/k3dzq9qVU9LtYePLbbY2iIkcNN3WwsbzluN1Nx5hkTgTVwBTBRa20/3oZCCHE2m5oWzS+uKuaJDRV4tOb5LVXkJoRjMZ1YcJuTEE4O3tnhlCFyqk+H6LAQzp08dK3qz8zNIsJiornTwXlTkkkewYcAgI4eJ61dThIizINWOxkJh8vNj17YyUbfRY5ddjffuXAS97xzkO2+GU+t4ZUdtYDiSHMXH5c1E2U1MTk1ikc3VGANMXDLwhwKkiOYlRVLQXIkhSlRzMiMYc3+emra7Gw83MrKKSkUZ0RjMih6XG7WlTUzLSOaO5bnUdNmJyXK6g+qe2XHh3PB1GTWlzYSGmB2NCrUxKysGBpsDmZmx6CAEJOB7ZVtFCZbCDEqnG7NogkJ/XKGa9rsPLrhCHedM4E9fTokljbYmJsTxzmTkvjPusPER1ho7XJQ7guE8xLCmZYRzfbKNnLiw9h8uJlPl2Tyb99FjRaTgUunp6EUNNucfHdlIS9vr6XH6eHf6w77K6JcU5LBkxsraei0ez80+I7f1u1mzf56vrI8n/vWlpObGM67fdqbg/cDxw8vnkhxeiQddg9Ot4f/rPeOtaKlmzX7j25/YVEKE5MjeHN3PZ2+mfWkSIt/pvr9/Y0sLojnipnpxISauGdNqb9CSmLE0VzxvhYXJPD+/gbOnzKyuuzizDBWAusyIASQwFoIIY5jaUEipfWd/Hn1QXITwvn5lcWEBSFIHAviIizcsujEmvXuq2nnO89sZ1tlG+dMSuSnlw9+geRwOdzaH9QB1LT10NDRw2u7ao/Z1mZ3+RumzMmJJdJqYuXUZMItJv697jCP3jaPAl8THrvLzR9XH/DXWwbYcKiZWxflcKjRxvdWTsQSYiTUbOTxDUdIiwnjQH1nv8e7YkY6a/bXs/ZgI5dNTyPcrIgODaGtT0fNrLhw1h5sItJi4uXtNVxcnOpPTTlY38nNC7OJtJho7Az85/lIcxdZsaEc6TMTbnO46bI7mZgSSX5iBPd+cLQknnfmOhmTwUBylIWPy5qYmBLJxcWpeDyaoowo/u+tA/4mO2Hzsthe1cbKmOR+ZQbTokO5bk4mSnlLPcaEheDyaHZUeZvSrCtrZlJqJGUNneQnRvg/+IA3t31XdQdlDV28f6ABrTVLChLJiQ/zVy3ptWZfPTctyPEH1eDNAe/9IJseG0p1aw8NHXa6HZ5+ZQcbOu14tO7Xuj012orbo7G7PISZT28jKREcZ/RvWqXUn/GmfHQBW5VSq+kTXGut7xqtsQkhxJkqxGjg9qX5fHp2JmaTIlzyNIflyU2VbPNdVPbO3gbm5dbwxWX5J3XMCIuJ/3fpFL711DYiLEbOnZzEurImJiRFcKCuf6AbajYyIyuapEgLCRFWntjozVE2GRSXTEslPvxo/fCdlW39gmrwtvG+5cFPaLZ5A+Nvr5zIgfpOUqJDSYqysOFQM1PSothd3Y7RoOiwe2fnAV7cVs1/XzqFWxdZqWztprXLSXx4CHaXm8LkSO794BAALk//lAyPhnMmJVHVemxOMkBzl4OUaCvFGTEcrO/kUKONpEgLBxpsvLvPW2ruxvnZvLStmpYuJ1NSI1k5JYX69h563B5iwkJ4bEMFRoPiwqnJaI9mxaQk9ta2U9HcTUOHNyTYcqSVG+Zl8cr2GqamRfHOvnp/u/tQkwGP1v2qdESFhpAdH8a+2k5KciLp6HGyr66TorQolhbEs/lIK+/u8+ZGp0VbibSa+lW16RUTaqYpwIcKj/Z2XSzJjuWpTZUBZ6YB6tp7mJ4RTZPNQWFyJDa7i3f21hMaYqQkQL1zceY7owNrYKPv+ybgxdEciBBCjDWx4SdWjeJs1dHj7He/7wzo8Rys76TH5aYwKRLzgLSbS6enMTcnjt01bdz60Ea0huvnZFLWYPNfaJkUafG1Hk/m4VtDeW7L0bQKl0dTlBbNhkNNPLu5kuQoa8BaySFG5Q+qjQbFzqo2XvOVxbtuTia7qtu5dVEuufHh2Owu4vrk3BsNii1HWnlpu7dZT3VrN2kxcby0rYZQs5ErZ6bz3JYqnG5NekwoVa3dpERZSYu28tTGSs6dFDgXONISwvv7vXnESwoSWDwhnpq2bn/1j7ZuJw9/fJgvLcunvMlGW7eTpi47XU43T2ysIMJi5BvnF1DZ0k1SpIX15S2sPdjInJw44sLMhJuNXDYtlbgIMynRVq6ckcbru2qp9dWwvqg4hXf2NXDVzHQumJLM4aYuCpIjyE8Ip6q1h/WHmnhjVy0FSRGcPyWZ8kYbXQ4Pb+3xBtXWEAMlOXG8uK2a5CgLyycm+nPAlYIb5mXR3u085nlnxoZx6bQ0/4WM1hAjxelR7Khq77ddanQomXFW3tvfxOu7av0XpH5v1SSy4k9dWU5x6pzRgbXW+qHhbKeUekZrffWpHo8QQoixp9nmLbmWHRfu72gYyCXT0nhhazV2l4e48JB+5QGH8vpOb4k/p1tz97kFfPWcCcdcsJkcbeX+PnWRn9taxU8vm0qX002Y2cicnDg6epzsqGpjckokV8/O5I1ddZT7akc3dzn4n1f3+I936fRUJqdEsqdPnfDUaKs/59mjNRGWPn/itWZGZgx7atvZV9NOp93NrOwYzpmURFOnnaL0aJ7ZXInWsGZfA19Zkc+/Pz5Me48LbJAYaePi4hRe2VHL3Nw4pqZF0dHjYltlG91ON9Vt3czIjGFrn5J6c3JiKW86mtP9wYFGpmVEU99x7AxvWUMnb+6u44Ipyby/r4EpadEUp0WTGhPKoUYbhcmR7Klp54MD3iB9w6FmrinJYGZmDP/8oIxDjV1EhZpYnJ/A1bMyONRow+XRON2a1JhQ3tlbx8IJiSRFeXO6t1a2kh0X7p+xP1Df6U+V2V/fgcf3Ri3MT/AHx3XtdsLMXdw4L5Os+HA6e1w8+GEZK4tSuWFuJi9tq8FsMnDZjDQ67S5CjIpr52TS3u1ks69ud3ljl7/KSW58GGkxVmrb7f4LTCcmR/ClZflcPC1tWOeeOPOc0YH1CEgXRiGEOEvtrm7npe3VNHfaWTEpifOnpPhL12063MzXnthKRXM3k1Oj+N2npzMlLXC76KWFiTx7x0KqW7vJTQhnQlJkwO16HW6yUd3azR9XH/Dnzv5x9QEumZ7q7zDZV3afGcgep4eM2FCWTUyitL6THzy/g/Vl3jbZ18/N5NsrJ/HgLXO49/0yXFrzn3X9c3tf2lbDdy+cSMaRViqau5iQFMFF01KYnBbF+tImUqKtLMxPINRspNXmxBJiZH5uHAnhZkqyY/nzOwdZV9ZMpMXb1fCRDUfom+VhMijMfT4cGJUiMdLCl5fl8dL2GjYcamZZYSJbfKXzjjR38Zl5WUxMjqC120lKlBWDUtS1dbOsMBGtNe/vb+C9/Q1MSo70dxvslRBh5tJpqZQ12kiMMJMSZeGDA4287StVF2JU3HXOhH77pMeGUtXSTVOnw58bbjYZ2FXdzpr9DcSGhXDLolx2VrURExrCX9eU9tv/upJjL8adlxtLYVIE6YtyuHdtOSFG5c9/np0dy6ysGCpbunl0w14irSGcPyWFt3fXMz8/ju9cOBG3R/OzV3b364B57qQklkxI5KF1h1hSkIjFZEApRV1bD/UddpYVJPKFxXkovFVMhvrwJ8584yWwPrG2VkIIIU6Z7RWtbKloYWp69CnLF23qtPPVRzdT1uidGX1iYyX33VTirx5y/9pyKpq9+b97atp5alMF/502ddDjTU2LZmra8Zv47Ktt5/MPbsTu8pCfdLSmdpjZSJivNveBug6e2VxJhMXENXMyuXxGOhoob7QxPTOG/KRwnvjkMFuOtPmDaoDHNlQwKyuWvMRwHtlQwflTkrEFSEuJDTPz2flZgMLt8fDVR7bQ4GtkMj8vjrp2O7XtPcSHm7GGGDEZFWVNXUSHGrl8RhpOt4fYsBDqO+xcMSPdf1FifLiZ2LAQrpyZzvsHGwgNMbGkIJE/rt6PR8P5k5NZUZiABt7zVci4fHo6f1x90D+25CgLC/LiyYwPY3dNO2v2NTA9I5oF+fHYnW6mpkWxy5frfcm0VPbXd7KxvIXoUO8Fm5WtPeyu8aZNWEwGrpiZztoDjXx2fhb76jrJiA3l8Q0VXFOSwdzcOLoc3lzwssZO2nyz0G3dTmJCQ3hnb33AChtmkyI+3EyTzeGrd53DocYu/vZeGRmxoXzrgkLe2FXHovx4FhfE89QnlRxu6vLnSrd1O3l6UyWXTkultN7GtPRofv7a3n6NZQBW763nsumpnDc5xT/73avbGcmPL51K0mmqcy9OvfESWAshhAhAa83ag41Ut3azuCCB9JjTk7dZ1dLFLQ9+QpPNQZjZyItfXcyEpOG3Vh+uvbUd/qC61+bDLf7Auqq1m5mZMSRFWTEZFLZuF9UtXaSdZLWP9YeaqfRdsDctM5qVU5Ox2V3cvjSfdN+xH/q4nP+sOwJAlNXExJQoIiwmPjM/m7gwM7c9/Ak1bXZCBzTJsZgMNHfa2VfXwYVFKYSbjSwvSGT1vqONRsLNRubkxpGfGMG2iha+8qg3qAZwuD28f6CRq2amU93WTXKUlYc/Pky3041ScMeyfF7ZUcOlxan+Ji4TksL58rI8ShtsTEyJZGdVO2/squO8KUlorfn7e6X0dmZ/a08dd587AZNSmAyKa+dksP5QU7/xz8+L53lft8jUaCvLChN5b38DlS3dfG5BFnaXh5VTU7CGGLD1ONlY3sKMzBiy48P41weHWDk1xX+8JQUJPL+liglJEby7t4EOu4tPypvRGqpae3jblw8dG+bN576oOIW8xHCsIUbaexxcOycTg1IUpUWxs7rdNyYLkdYQLipOISbUjN3lprqtxx80lzbYeG5LFZdPT6O128FrO+qICjP3S3Xp5XB7yIkPw+ZwHRNUg3cWOjHSSrjZyDt7Vb/KIGFmowTV48x4CazVaA9ACCHOROvKmrjp/g14NFw6LZU/3zDrtDxua7eTJps30OtyuGn23Q62xAizv/pDr95A5Z29dZRkx7Cjqt0/U/iZeVlsONzMFX0C684ebz6sZZhdIL2Pe7RCx+o99fzxuulcPiODHqebN3bVcrC+A6fraD6A3aW5/t51eLQ3iP3hRZNZf6gFs9HA0sIEfyMSgJVTU/jtW/v9AZjFZOAz87JYaUpmZ1U7eYnhfGVFPvmJEdjsTp7aWBmwU+DmIy3Eh5upbeuh2+md8dYanthYwR3L8vzPNy3ayvSMGMoabIRbjHQ7XCRGWulyujEZDDR02P2t2nvtq+vEajJw3ZwMlPLmH/cqTI7kk0NHZ+Br2nr8DX2abA7sTk1SpIXYMBMOlwer2YhBQVqM1d+6vcnmICrURHu3C4PypmOUNnRywZQUXtzWG7BbiLQeDWMMyjvGV3fUclFxCs9tqeaCKcnMy41j05EWLixKYV5uHG6PprnLQXVbD+/uq6e1y8n8vDgmp/RPEaps6SbUbKLH5WF7VRspUVYyYkOPyRG3hhjJiA3FFqBD5JTUKCKsJu5bewiLycDVszJ4YmOFPwC/fLrkUo83YyawVkqFAlla630BVn/3dI9HCCHGgsZOh3+mcU9tB063J2idEIdSmBzJDy6azL/XlXPVzAymZxw/veKEHicliv+5soifvLibbqebS6al+mc771t7iGhrSL9Zxh1Vbawq8q53uj08/FE5f11TSnyEmZ9cVsSC/PhhPe6KSUn8/MoiNhzytgbvnSF/alMFr2yv4VCjjbzECD47P5vs+DAqmrvIjAtjaloULremxZeuoBTkxIdz6fRUXtpWg0HhvwCxl93lobbNzocHG7n73AKumJFGYpS38c2Behv1HXZ/Z0aDwv9+T0n1tkkfGAh2O9xsPtJGQVI4V89KJyY0hPs+LPevv2N5PhUtXdx1zgRW760jIyaMLyzJ5a9rSrG7PFxcnMrGw83EhHpzjPfXd7CyKJl1Zc0crO+kpctBUpSV6rYe/zF7K6UkRVowGCAnPowdVe24PZpPlaQzI9Nbjs9sNOBwe3hnbz0XF6eitSY+wkKExUSn3UVbt4Pbl+bR43QTaTERHRrC5dPTcHo8HGzwXgB4zqRE9vtKGRoNikabnaYOO2+21LG9so2VU5PZWN5CXuLRixfXlTUzOTWq32u/vDCRQw0dWMwm0qK9z2dBfjy7a9r9nSCnpkURbjZxz7ul3DgviyirCYfbw3mTk3G6NWnRVh74qNz/Pn5S3kJeQgSlDZ0syo9nZVHqsM43MXYoHej/FmcYpdSlwG8Bs9Y6Vyk1A/ip1vqy0R3ZsUpKSvTGjRuPv6EQQpwGzTY7f11TyvaKVu48t4AlBYmn7LE8Hk1bt5MwixGLyTsb2t7tZHd1Ow63hxmZMQFrAfdq6rQTbjZhPYHGGFUt3moL+YkR/g8OP3xuB2/trmNyapQ/F/grK/K569wCLCYja/bVc/MDn/iPkRhp4bW7l5DQZzZ6JA7WtfOrN/az/lATBUmRJEVaeHdfPe99ewXv7qljzYFGXveVv5uVFcOl09PYW9vBy9uqibSa+NbKiWw+3IJSij01HWw+cvQCv2tLMjl3chIX9EmRAFh7sIHHNxxhUnIke+s66XG6iQ0z02xz0N7j5HBTF9fNzeQf75Vhd3mwhhj40rI8qlt60ECP043d5fGnQFxUnMLG8hbqO+xYQwxcNycTtwdyEqxsr+yg2+Fm4+EWmm0ObpibyaMbKvxjuWpmOs9u8eZpXzAlmSabg5rWbubkxvFxaRP1HXYum55GlNXEO3vrqG6zc3FxKntrOyht6CTMbOSi4lRW76mjpcuJ0aBYVZTCJ4eauXxmGp3dTjodHv+MdUaMlatmpnOoyUZUqJkuhwunWxMdauKR9RVEWU0syI/HoBRTUqP43Vv7AVg5NZkjzV1kxIby1u6j6TVfWpqHBuo7eogJCyHSYmJ7VTv7azu4fGYa/3zfW8v7nElJRFiMpEaHsvZgI9sr28iIDaU4PZqitCiabA4e+vgwbo/mwqIU/3sOUJQWxaIJ3jb1yyYmkhQ5+mkgSqlNWuuS0R7HeDFWZqx/DMwF1gBorbcqpXJGcTxCCHFGcrk99Dg9RPj+RR4XbuG/Lp5yyh+3o9vJ/719gCc+OcLc3Hj++9LJxEdY+H8v7PTn2q6YmMhvPz2d+AGBq9aaxzYc4Wcv72FmVjS/uGoa2fHhgR5mUOkBcqa/tCyfpEgLFpOBi4tTSIq0smBCvD/oH9gtsKHDjq3HdcKB9XNbq6lr72FRfgIerUmIMDM1NRKjQbF8UhI/f22vf9vNR1r5wuI8/veVPbg83pJw931wyF8+75LiVDb7trWGGOhxurnzsS288NVFTPKlLLy8vZqNh5pJjwnj9d21xIRaWHuwEaXg84ty+NfacgDu++AQty/JY19dBxOTI/nzO6X++tlmo4HPL84BvM1sOntc1HfYiQ0LYUlBInUddqKsJuraHeTGh/Ondw7g0d6qIU5P/4m5+o4erpyZhsVowAMUpUXyYWkTr++sxe7yMCk5nPgIM+tKm0iJDmVVcSobDrVQ6ptp7nK4eXpTJdfOzsASYiAnPpxPDrcwNy+ODw40UtXSzfSMGP/jVbb2YDUb6bS7eWXHEaJCQ7hiRjqdDicrJiaSmxBOuMXEgx+WE2k1oZQ3FcYaYiQ2zExDh4Pr52byxCcVFKVHs62ylY/7XER6+Yw01h5o4HurJrOvto0vL8ujqrWHmFATIUYDf3uvFK29+fPF6dG8trOW13bWcvWsdCwmA10ON7ur2zl/SjJv76kjPszM91ZNYvEp/HArRt9YCaxdWus2pSSVWgghBrO/roP/eXk3u2vauW1JHrcsyj2mWcmp8t6BBu7/0Duj9+6+emZmxTAtI9ofVHuXN/BxWROXDKjR29Bh58cv7sbh9vBRaTMfHGgccWDdV3mjjdV76+nscbIgP565uYHTO6ZlxJAQYabRd9Hf5dPTSD6JC8lq23pwubW/KYvJoPjRJZNJiLDgcLmZnBrFel/usTXEgFt7fHnBmtAQY7889KgwE5dMS8Hp9lavsJq97+Pemg4mpUTx8rYqvv7kNpxub0vsO5ZPYG+tt2uk1t4884uKU9AazEbFh6WNRIeFUNHS5Q+qwXvhncPl5uvnFdDW7fSXz1tWmMTzW6v82101M50el43vrJzIlopWlFK43f0D6/gIiz+vOcxs4oGPDjMtI4YVk5LQGialRAyoHGJlR1Vbv2PEhIVgtRh56KPDpERZmZUVQ1y4mT013g8cabGh/pz6S6alUlrfybu+hi2tXU4e/Kicu88tYH9NJ+dMTKDHpZmbF0dZQyeX+GbH99Z0+HPaD9R18N2VE6lq7eZh34WmvXZWtXLj/Bye31pFWoyVWZlW7E43VrOJe9496M+TLkiO9L+vAB+XNpGXGM7OqnaONHfR7XBzxfQ0vrw8j8KUU5MSJc4cYyWw3qmUugEwKqUKgLuAj0Z5TEIIMWrsTje7qtswGQ0UpUVT19HDfR+U8b6vgcYvXtvr/bfzaZod63uhHoDD5fHX/+037gDLwixGpqZH+YO6tOgTD25buxzc9dgWtvsCtr+8e5DHbptPSc6x5f4KkyN56Na5fFzaRFKkhWnp0cNKQ3F7tL9Odl8p0Vae2Xw0GHV5vDPxn5qdQbglhJ9cPpX71x5CaYiNMNPUYeeXVxfzq9f30uN086nZ6Ryo6yTcYiI+zEKX3cPL273Hs5gMLJqQQHZ8GJ09Ln7zxtGLG+0uDy9vr+ZTs9N5bWcdRoO3Gkpvd8OrZqZTkhPLvz8+zLJC7/mgFMSEhtDa7aSm3UFtuwOLyXsh5dbKVroc/S/Ee21nLZ+a5R3fG7u8aSPx4WaumpkOypsGZA0xcOHUZKZlRPP6zlpumJtFeZMNh9v7etW19/Q7ZlVrN1lxoRxpPnrh5YyMGB7zVSqpbe/B5dHUtB7d7/ktVVw3N5MoawixYSbuW9u/vjd4u2Bur2pjXl4cr+2oodK3f36ii8/Oz+TP7xytZ21zuNlS0XrM7DtAcXoMH5U2MiklkqQoK49trKC1y8l3L5zENSUZPP5JJbOzY5mQGE6ExeRPN5qSFt0vjaeh006E1SRB9VlirATWdwI/BOzAY8AbwM9GdURCCDFKepxufvfGPu5d650h/sVVRWyvbKe+o3/ljZ4AQeypsrgggQumJPHm7nryE8O5qDiVRF+w2hvk5sSHMS/32AD3SFMXty3O5XBzFwXJkSwbZsfDXp12J89uruKlbdXMz4v3Px6A0635qLQpYGAN3rrVTTYHdz++BbvTw28/PZ2LigNfUOZ0e3jgw3IeXX+YG+Zlc8uinH4XgpoDXBR6oN5Gh92NUoqdVe1EWkMIDTHwxCeVNHTauXJmGhOTI2no6OGxDRUUJkfwqm/G+5aFOYB3Fjc/MYJLpqUwIzOG5i6HP43FbDRw6fRUbHY37d0urpuTSU5CGPv6dGTsdrh5dH0F3U4PlhAjadFW5ufHU9HcRW5COBNTIvnZy96ujp+alcE3zy+gpq1/msyklAjuPr+QF7dW8Ywvj7rJ5uDZLVXcsjCLmDCL/+LG1XvruXlhDs9sriQzLoxmm4PSBhsXFffPD99R1cY3zivkL+8e9H/gigkNoSQnlo9KmzAZFNYQI4kRR1uv210e2ruchBgUpfUd5CSEUZAcQWiIkcNNXeyr60DjDeQdLu0PqgGy4sJ4eN0RzpmUxNO+LpOfnp3B+wcamJ937H81QowGCpMjeXFbDQCXTEtle2UN33pqO898eSETU6LYVtnKExsrmZUVy93nTiA+3EJBUgS7qo+egxOTI/nMvOyA55QYf8ZEYK217sIbWP9QKWUEwrXWPcfZTQghxhWtNUopDtR1+INqgIc+LMelNUVpMcSEhdDa5eTKmekjasrS0uXg5W01NNnsLClIZHZ27IjGlhhp5f+unUFNWw9x4Wbiwr15yn/77CzWHmjE7dEsnJBAxoBc6Pf21fPYhgpMRsXOylb+euPsgLPBQ3l5ew3/74VdAP78bYOCq2dl0NrtvQjO49EYAhzX49H85vV9tNi81SG+/+wOFubHExNmPmbbvbXt/NzXVvznr+5hYX4cRekx/vUzs459zS6dlorRoPnz6gPc+8Ehf1nAy6an8eK2aj4ubebWxTmsK2tmxaRInttydMa7vcfJeZOT6Ha62VPTwYcHmyhKj6EwOZLPL8nlT6sPcuWsdDp7nGg07+5roCApgp1V7XQ53CzMj8ejNXPzYnl9dy0GBW/truWO5RP47ZveC/k+KW/x51gDPL25klVFyTTbnCwrTOBwUxcFyRHctiSfhAgLV85MZ2dVOy9uq8ajNUsLE0mJDuN3b+7H4Ws36HRr7v+wnFsXZfPUpiqSIi1cNj2NZpuDT83O4KVt1URYTHx2QTZtXQ5+dPFkPiptAgWbKlq4uDiVwpQIQk0m2rsd3v2npXKoqYup6VEo7X2MqDAzc3Pj+euaUppsDkqyY7liZir7aju9F092Hg0TDMpbmaSswUZjh52VU1PQWhMTbsJmd/PJoWa+uDSP13bW0t7jZMXEJEKMim7n0fey9+zpdrqxu9zcsiiX37zhzZvffKSFb5xf4M+ffuEri9ha0YrRoJiZFeP/eRDj35gIrJVSjwJfAtzAJiBaKfV7rfVvRndkQghx6nXanTz4YTkvba9hbk4sl89I95dXA2jucvDN8yfy/ed2sLgggStmpLOyKIVw8/B/xd+/tsz/L/L71x7i6S8vpDB56JbeA4VbQpiQ1L/qR3pMGNfOyQq4fXu3k7+8e5BPyltQypuysK6smSnD6HzY11ZfCgnAxvJmLipOocvu5pUdNXQ53Ly1u46F+fEBA1+DQREbdnTM0dYQtle0UpQeTVyfixirWrpA48/JTogwEzsg+F6QH8/PLp/Kr1/fR4fdxXmTk/jKigm8v6+R0gZbv1rbdpe3rvSnS9L5/Vv76XF6MACfLsngr++WkhhhYU52LLtr2/m4tJlmm4NnNlcRGmLk0yWZJIR724vb7G6e8KV8zMmJJdJqoqKlm/f2NxATFoJBKZYXJvKlpXkopQgNMfabzQb8F3MCFKdHcaDeRnmjjduW5tHa5eRQYxcO33hjwy3cee4EYsLMVLR0UdfWzcH6Tn9Q3cvt0Rxu6qa1y0lrl5P9dZ3csTyP5zZXsSA/nm6Hm7+uOcg3zp/I3tp2JqVEsL68laK0aN7b10CX083MzFjKm2y09bhYWpBAbHg7zTYHLo/mw4ONtPe4/NVHADYebmFV0RSirWZsdhex4WaiQ020dbuwhhj9dabbe1z+Sh1Xz0rnC0tySY+x8oPndlKYHMlFxancv/YQmXGhLMpP4OYF2bT1uPi41NsEZ0ZmNFlx3g+In5mXTUKEhaRIS79Z76Qo6zEVXMTZYUwE1sAUrXW7UuozwKt461ZvAiSwFkKMe2/srPPPMO6r7SAp0spvPzWNH7+0m3CzkV9ePY0lBQlMz4pBoZiYMvyAWGvNG7tqeW9fo39Ze4+LiuauEQfWI1XT1s0n5S2+cUBHj4v4iGNnio8nL+HohY6NnQ6ONNn4r0umsOvRNrocbkwGNWTt7m+vnOi9eLDLQUZsGJ974BNKcmL5y/WzCA0xcu8HZdz7QRluj+Yb5xcSZjYyOzvOX4lkZ3Ubhxtt5CVE8NkFOVwwNZmOHhfZ8eGEGA28vaeOtm4n+Yne+sVx4WYmJEWQERtKc6cDrWHRhHi2VbXxYWkTd59XQJfdxfee28mSggTSY0NZOTWFLoeLj8ua+M/6I1wyLZX2Lge7azvITQinOD0al8fDpJQIijOiyYoL5dENFRSlRVHf0cP9Hx5mckokdpcHh9vjbcPdYGNubixlDZ187dwCXG5vvvHumhauK8nkQF0H2yq9KQ0/f3Uv/3URJMeEkp8YQbfDRXF6FHNyYtlZ1XZMkx6D4pj/EBxq7KKm3U6YpYvJqVEsL0yiscPOu3vrmZQWjdvtYU5OLK/trOWy6Wn+iycLkiP4wXM7cXk0n1+YTUuPi9nZccSGh+Bya/9j5yaEs7umjbp2O2sPNhJlNXHH8nyONHfR1u2kICmStQcb+41pdnYsN8zLxu3RRIeaeWNXLU6XG4fbQ2mDjYrmbubmxvnSm1JIjLSwqijV/5+RtJhQblmUO+JzVoxfYyWwDlFKhQBXAH/RWjuVUmd+AW4hhAiCxs7+mW+Hm23ceW4BKyYlYTIY/KX1Jg3oHDcc2yrauPOxLawqSvXnJidGmMlLCH778YGSo6yUZMey8bA3uJ6eEc35vkYr4K1ysq2ilaRIK4sLEvwpIlprXt9VS1VrFyEGA4smxHPjvCwe+8Sbo3zj/BzQ8IdrZ7LpSDNF6dEUpQ8+C16cEcN1czP5zjM7/IH+xvIWPixtxO5085d3j1ay+PUb+/jhRZMp9jW8+bi0kVse/IQep4cws5EHbpnDvNx4kvu8FTMyY/j1G/uYmRnL5xfncqCug3veLSUt2kpilIUb52cTYlB8eNA7I7qvtp2Xt3tnVD840MgFU5J5bMMRVk5N8VfHeGt3HauKUliYbyYqNIT6djtJkWZ21XTy2IYjTM+I5n8un4rT7WH9oRY+vyiH2o4eYkPNPLLhCA0ddhIjLbg93mY1f3znALcszCE3IYLijBie3FjRr5pKTFgIv31rPzur2vnpFVNxejys2ddAuNnIzMxYrpqVztObKvFo74WRl05P490+LdgBPFoTZTUxISmCl7d785aNBsV1czJ5ZP0Rrp+bSXiIgfzECHp8nSJDQ4zUtHovYpyVFcMbe+r9XSYjLd461V87r4Buh5uGTjutXU5/8Nze46Kh0+6vtX3H8jDuXJHP/R+WYw0xcvvSPK6eneEfxwVTU7hgagq1bd28sK2axk4HDreHtQcb2VbZyit3LiEr/tiyjkL0NVYC678D5cA24H2lVDbQPqojEkKI06QkJ44ws5EuhxulYLnv4r5AecAjtb+uA6dbs72ylUumpZIYYSE91npaAoiYMDN/uG4GGw41kxhhYdGEBP8s54H6Dj5333pqfa2yf/fp6f4gaHtlK5vKm9lW2cYn5S1MTI7k/ptLuGxGGr94dQ///eIuLp+Rzlu7a7moOJVbFgbONe+bd91pd9MwoEOhw9cpb6D1ZY3ctjQPgK0VrazwvR95CeG8sr2G6pZuzp+ajNOlCTUb0VpzzewM9tR20GV3Ud5kQylYVZxKQ0cPu2vaub4kg6+dV8BrO2tZVZTK7uoOyhptZMSG0tbtpLnLQaTVRHy42ZtPnBPLxvJm5ufH8x9fmbjZWTEc8QWd2yrbuKg4lUfWH+FIcxeXz0jjzV11xISamZMdy4byFtAwISmCf/v231DezPSMaNaVNRMaYqK1y8HFxam+GWEPRoOFzUda+dHzO/nNp6bx4tYazpuSRKfDxWs7armoKJWsuDA67E5e3FZDe3f/yiIWk5GJKf1L07k92v+6N3bYeX5bDZdMS6Wmzfs87C430b6mQgkR3sfv1WF3MS0jmvgIM+dMTPZVxjlEQVIEB+o7UQpSoqz+Ge2kqFBuXpjDzYtyMRrUoD8/KdGh3POZWfz+zf2sP9TM7KwYvnF+oQTVYljO+MBaKWUA6rTW6X2WHQFWjN6ohBDi9JmdHccTt89nT00HGbGhw267PRy9wUJ5kzf1Y/XeeipburA7Nbcvyzvl7c8zYsOOuaARYFdVuz+oBli9p84fWNtd3uoWvUHvvroOypu6eG9/A1sq2piWEc37+xto6XLyyPojXDUrndl9LuR0uT088UkFD35cTkFSBF87r5A5ObFMTI5gn68VdlqMlfm58VS1dNPXZdPTaLLZ+e8XdvLZBVm8vbuOTUdaubg4lX+tPYTd5eHdffVsOtLC81uqyUsMZ3pGNE9srCQ9JpS1pY1MTongtiV5/Gn1AVq7ndy8MJd5+fFcNjODu88toLq1mztW5LPhUDM1bT18cKCRC6cm8+yWKublxpGbGE63w01KlJXKPqXqdtW088WleTz88WHm5sbhcrs50twFQHVLN5HWEJIiLdwwP5OF+fHe1A0NK6emsKOylSUFifzrgzKcbs0VM9KpbOmiy+HCaFC8vaeecycnYTQcbfmdFOlNh3hhazVz8+JwuD18eLCReXlxtPW96s+ns8fBssIEbHaXv5U44D/HkqOsrN9WzabDrXx/VSE/uGgSZQ02ZmbGsCA/jsNN3ttbfC3qM2JDKUqLZvkk7web5Ggrv7i6mHWlTeyuaSc7PoyLilKZkRVLW5fT/3PTm8axt7Ydm93FhMRIosP6XxswLzeeh2+dS6PNQVxYCKEjuF5BnN3O+DNFa+1RSn0VeLLPMg24Bt9LCCHGl+KMGIr7dJ0LlllZsXz3wkn8/q19KIU/EPvNm/tYNimRIt+FhL0VSU6l3dVtVLV2MyU1ipRoKwYFvWm7BX3yvWdmxVLZ0s2ywkTe29/ArMwYJiRF8M4eb+rB4aYu5ufFU7urlmnpUSSEW7DZXYRbvH/yPi5r4ofP7wTgQJ13ZvOeG2Zz700lrD3QiMujWTQhgVxf2cDS+g7c2ltXubHTzkelTXx4sIlwi4nyJu/rFRZi9DVC0cSEhvhnkbdXtmExGVg5NQmtFSaDwq01/3y/jEumpzI7K46Xt1Vx9d8+5udXFrMgP56fv7qHV3bU8qWl+bR3O1lVlAJozp+chEfDPe96LzI1GuDzi/JY55sBNipFeaONP143g8mpkfz5nYN8Zl4We2raWZAfT2y4mWWFieyp7uAfvvbc509OJj8pnPr2bj462EhmbBhljTae31pFcVoUoWajvwGLxWTA7fE2pCnOiOHGBdk8uv4IuQnhhJkNZMdFsLe2ndd31XLH8nyabXZe2V5Lh93FrKwYijJieX1nHT+6ZDI/eWkPZQ025ubGcbjZRkZMKJ+Zn83Xzy/E5dYk+2qZ17f38L1ntrP2YBM/vHgSIQZFemwoTrcHt0fz5Uc289wdC5mU6s29CTObOGdyMuf0SSmaE6DU4vNbqvjmU9twezTnTkrkF1dPO6a9uCXESHpMqP9+s82Ow6VJOYk662L8O+MDa5+3lFLfAp4AbL0LtdbNg+8ihBDieMwmA19ens8FU5N5cWu1v/mHxWQgLMRIWUMnv31zPxXNXXz3wolBa8fscLkx96lGsa6siZsf2ECP08PklEju/VwJf75+Fu/tryczLoxrSjL92+6obOO5LVWkRFr4242zmJcbR1y4hfOnJvOf9Ydp63ayu6aN76+ayITECK67dx0AP7+qmBUTk2jrcnDptFQcbg8tXU7K6m14PJqsuHBumNe/46NGs6Wildp2O1fNTMMSYvSWhgMqW7pZWpjIBwcaUAb8lSaum5PR7xgdPU7So608v62Gcycncbipi4qWbtbsa6Sp04nFbGJebhz/er+U9Bgrr/iqfPxrbRnnTk4mPdpKcUYMFc1d/O6t/f7juj2QmxDGp2an097twmwy8NL2GnZUtfPCVxdx3ZxM3t3bwJp99fzpnYPkJ4RjUNDU6WDl1GTe2FVHRUsXpQ2dFCRH8sauWi6YkszUtCgUMDElkjX7G4iwmFg8IZ7mTgfXzcnEYICmTjvnTEykudOOy+PB5aFfLvpf15Ry6bRUPl2SQVKEmW6nmwc/OsQ9N8xiQX4iz94Ry6EGG3trvXWn5+XGkxl37H8u9tZ28I4vsH9yYyX/75IpXPvPdf22qWzp9gfWw9HYaecHz+3wV9VZvbeBD/Y3+v8jEkh5o43PP/QJNW09/OumEhbmJwz78cTZZawE1rf6vn+lzzIN5J3MQZVSFwJ/BIzAv7TWvxywXvnWXwR0ATdrrTefzGMKIcSZKD8xghvmZuHRmtL6Tq6enUFeYgR/Xn2AV3d4LzT70Qs7ef3upVhCjt+dcDBHmrr4/dv72FjewrVzMvnC4lxCzSY2lrfQ4/SWbNtT28H+ug4unpbKxdP6N2vRWvObN/bxcZk3uLW7NKuKvNvMz4vnuTsWsrWileQoK5NSIln5hw/o9JVZ+9rjW3jnm8vJiAvj7T31dDvdnD8lmatnpQescQ2woazZn5Ly7JZqvnvhRC4sSsFsNPjTHmZlxfLkxkr/PoebuylMjmB/XScGBSsmJfGP98oAWL2nngumJHOwvpPi9Ghe3OZt+W5Q8PXzCokJM5MUZaG+3Y7L463Y8tPLpnDZ9DTWH2rqV2bRbDSQmxjOf/vawafHhBIdGkJdew8Ot4cpaTHkJ0YyJTWKDeXN7Khq53XfB6fi9CimpkVRlB7NkxsruGx6KpGWDOwuF3aXm03lrZw7OYnPL84lw3fcdYea+c4z29Eaqlt66HS4yI4Lo6q129/RsS+H28Oj64/wvQsnUdtu52eXF7HAF5CGmU1MTY9m6hAXlQLkJ4UzLT2a/fUd3Dg/G3OIgbRoC9W+BjaRVtOIc5+11v3augP9KpoEUtbQSWmDd15vZ1WbBNZiUGMisNZaB72Wja/RzD3A+UAl8IlS6kWt9e4+m60CCnxf84C/+b4LIcS4kxxt5ZsXTOy3LMxy9M9EYoR1xM1bBnpmcyXPb/EGk797cz8TEiNYVZxKXuLRmeIIi5H02NCA+yul6DsENSAFfEpatL8Odk1bt79eNECP04PLo4kPt2DyHSQp0sKnZntnw7vsLipauogPt5Dgyx/OSQhHKW85wIKkCFKjreyqbsfu8jZgmZ0Ti9loYPXeen+w9nFpE59fnMuSCYm0dTvosruJsJho73GRGGHG6Xb7xnN0bB4N8RFm4iMs/Orqafzg2R3Utvfw6dnpxIZZWPmH95mTE8efr5tBZWs3bd1OlhUmMjc3nlsX51DWYKOuvYfo0HCWFiQQ72tIYgkxsmJyMgcaOtl4uNmfXlPbZueakgz+/n4Z501KYvWeBkobO1lemMjemg7Om5rMN5/ajsuj+a+LJ9PU2cOG8lay48Iob+oiKjSEULPR38LdbDL4mxP1MhoUq4pT+d/X9uB0ax78+DAuj+aqWYPPDA+UHhPGg7fM4cPSRr7+xDbCzEb+cO0M3tvfgNOjuagohR2VbdS0drOkIHHQD0h9JUZa+X+XTOG/XtiJ1t7630sKhr5uYWZ2LF9enk9jh50Vk0bWGVScXcZEYK2UCgO+AWRprW9XShUAE7XWL5/EYecCB7XWZb7HeBy4HOgbWF8OPOzL6V6nlIpRSqVqrWtO4nGFEGLMuHJGGm6Ph5YuB5dNS2dDeTNWk5FZI+zM2KvF1r/teluPNxC7YEoyf7txFkeabMzOjmPiEKUDv71yEtZ3DmA2Gbh9ifcfl1p7UzZ2VLaRGGlhQV48qdGh/M8VxXz/2e0opfifK4pIjvLmxz5861w+OdzsnxVeWpjAT1/aw5MbK8hNCOeO5fksLUhk+cRE7rlhFluPtBBiVGyraPOXikuMMPPtlRPJig+no8fFr9/Yh9ujubg4lZe3V+P2aG5bnMtzW6pZkJ+A1t5W21GhIRgNiuQoq38GOjHS4u92uWJiEq/etZi2bm9d7/N+/x517XYO1HfSZLNzsL6TG+dnE+a7oO72pfk8vuEI2yrbqG/vCZhSMSU1ioX5CcSEhbC+rJkVkxJ58KNy4sPNhFtM7Kj25qe/urOWWxfm0GF3ce7kJKKtITz4UTmTUyPZdLiF+XlxrJqawqu7ailKiybE6L2YsSAxAu2BD3yl7hbkx1Pd2k1smMV/sSPAP98r45Jpqf3SgI4nLsJCi82Jy6Np73Hh0fCTy4sA+H8v7OThjw8D8OAtc/wVc47n+rlZTEmLoqPHxaTUyGPyqweKDTPz3QsnDXvM4uw1JgJr4AG8DWEW+u5XAk8BJxNYpwMVfe5XcuxsdKBt0gEJrIUQfpUtXWyvbCM7PoypI+wa2GtXdRtrDzSQHhvGBVNSMJuCX43D7nRT295DXJiZyNCQ4++AN6i5fWk+AM9uruQbT27DaFA8eMsclpxAvvXKomSe2lRJt9PN5JRI5vtqJZuMBn9Kx2Ccbg/v7KmnsrWbb62cyOQ+ebUvba/m7se3on0x3LmTkvjNp6dz7ZxM5ubGofDOPvfKTQzn9n9vpKHTgdGg+OtnZvLkRu+v+0ONNt7aXceOqjZ+dMkUXtpWzWs7awkzG5mZFeM/RkOnA5vDO+t84dRktlW04vJo1pU10WRz8LkF2TTYHOyt62Bv3dFuh1FWE9fMzqDJ5mBVUQphZiPXlmQyMSUKh6+qSH17DzOyYsiIDWVKahR17Q2EGBVGg6K0wcbzW6r4z7pyfnZ5MSnRVv70zgF6nB6umpkWML1i7cFG3tnrDZ7/eN0MCpIiWJgXT3y4mcc3Hv0zp5R35vz+j8q5alY67+5voDApwt9lcl1ZM3XtdqZnxBAdauIP187AZDQwNS2Kux/fwoVF3m6DOyrbqGvv4ZwBs7vRod5ukCN1wdQUWrsdRFhMzM8/ejHi/j6va327PdCuARkMKmAnTiFO1lgJrPO11tcqpa4H0Fp3q5O/PD3Q/gOTrIazDUqp24HbAbKyArfuFUKMT23dTr72xFY2lrcQbjby5JcWjDi4rm/v4Uv/3kSFr7TbX26YySXT0oI6zvZuJz97eTdPbapkVlYMv792Bjnx4cffsY8KX8UQt0f7m3SM1KIJibzwlYXUtduZkBRBakzglI9AXt9Zy52PbQG8KRxPf3kBWXHhtHQ5+OWre/1BNcDqvfWsK2viouJUchOOfZ69M8cNnQ5CjIrwEBORVhMWk4E5OXFMSIpgR2UblS1dvOa7KLHL4SY9JgyTwTvTfU1JJtm+2eHshAiunp3B/766h+YuB5dOT+PWRbl89v71xzx2e4+L86cmc+uDG/3LrpzhrSj79KYKfvCct2JJlNXEo7fNZ/nEJEKMBhIjvdVNVk5NIdxiJDYshHf21XFtydG/O8lR1oDlC6dnxmA0KGZkxrAgL56kKOvR1vFK8f7+RppsDm6Ym+WtcQ109rho6LDT0GHnjuX5/mNZTAa09nBRcao/Zxrg+6sm8+2ntnOoyZuLnBhh5tLpaeysaqO6rYdws5E7VuRjOoESjinRVu46t/CY5XefW4jTvZfC5EiWTQzOhbVCnIyxElg7lFKh+IJapVQ+MPyPpoFVApl97mcA1SewDVrrfwL/BCgpKZGOkEKcRZptDjb6AhGbw83hpq4RB9bNNoc/qAaoaunqt77edzFaoIBpuDYfaeGpTZW+2628u7d+xK2YL5qWSm27nUir0d8UJZBPypupbethaUHiMfWBAQpToihMOXq/ormLpzdV0uV0cdWMDCanBU4DKW3o9N+u77BT09ZDVlw4HT1Oqtt6jtm+qbP/n4nGTjvt3U4y48KItIbw/VWTeHZzFSajgV+8tof/u2Y62yrb+PM7B4mymvjDdTOIsIYQHx5Ck82bsvLC1iq+uCyPxRMSKM6I7peDfu7kZOblxtPW7fSXC5yQGEFFc/8PIZlxoYSajHx5eS5/W3OIebmx5CV5O12+savWv117j4udVW1Eh4bw1p46Lp2WxovbqokODWHhhHieXVtFWrSVFYVJPHTLXMqbbCwrDPy+rCpK5d1vReFwe9hX24FH4y8bNy8vnpfvXExrt5Os+DD++u5B3tvfgDXEyKSUSGZlxXD17HTMJgP76zpo6nTw0vZaXttZx28/PZ0rZno/FJTkxPHcVxayvbINt0dTlB5FYqSV+XlxHKjrJCMujKwAaSonY0F+PM98eVFQjynEyRgrgfWPgdeBTKXUI8Ai4OaTPOYnQIFSKheoAq4DbhiwzYvAV3351/OANsmvFkL0lRZj5falefzz/TLm5MQyLWPkqSA5CeHcuiiH+z8sJyMmlIUTjs68vb+/ga88upkuh5ufX1nMtXMyhzjS4CIsJv9FeIC/m91IFCRF8ouriofcZm9NOzf+az12l4cfXTyZzy85fvGm/6w7zD/e91bN2FnVzn8+Py/gRZJzcuKwmAzYXR7m5saS77vgMS06lAunpvB6n6DUoOjXxnxvTTtffmQThxq7+PYFE/nS8ny2VLTx6s6j+9S02f2P297jwmIykhhh4WdXFPONJ7fS4/QQG25mxaQkSnwNZ8oaOnl5ew1x4WaumJlGhDXE32Ie4IZ5WazZ3+B/3TPjvE1Nrv/Xem6cn8Wjn59Lk83Ogbp2OnucTE6NYsuRVmZmxdLW7SQpysKMzBhWTUmm0fdBISHCwv5a74eM6rYe/r3uCMsmJnL93KH/Y2oxGfnSvzexu6aD2dmx3PvZ2cT5mqWkxoT6/3tw88IcokNDaLE5+cKSXKb56qd/7bxI/vruQX79xj7AW0njh8/tYEnh0YslY8LMLB1QISQx0kricXKYhRgvxkRgrbV+Uym1CZiPNz3jbq1140ke0+VrPPMG3nJ792utdymlvuRb/3fgVbyl9g7iLbd3y8k8phBi/LGYjHzzgkKun5tFfLiZqBEGrGUNnTy7uYqEcDOPfmEe+YkR/uYYAH9bU0pHj7dc3I+e38nyiYn+C/BGYnZ2LH+4dgZr9jUwNS2KC6Ymc6ihkz+/e5CObhd3nTeB4vSYER93IA14fFGkSw/vH3hNtqMzy1UtXbjcHoyGYy9uWzQhgWfvWEhtWw9F6dEkRHhfB5PRwDcuKEQpeG1nLekxVr63anK/HNqPS5s41Oj9T8Dv3trHVbPTibL2/xMYFeqt1+z2aFKirP6LCS8qTmVKahQ1rd1MSIkk0ReMutwe/vLOAZ71VTkJNxu5ckDFi/MmJ3P/TXN4eXs1de09XD4jnW8/vR2A/6w7gq3HhTnEyPNbqrC7PPz4sslcPiONJzdWkhhpYX1ZE90OD//vsik88Ukl68qaKGvs5OvnFfD+/kay4sP46GATHxxoYHlh4pCpNVUtXeyu8eYkbzrcQm27ndhwM7tr2ilvsJGdEM7UNO8sc29efV87q9po7rJzwZRkrCFG3t1bj9PjwePRvLu3nr+uOUiE1cSdKyYwKztwG3khxrsxEVgrpV4EHgNe1Frbjrf9cGmtX8UbPPdd9vc+tzX9a2cLIcQxLCZjwDze4fjz6oM8t9VbsuzCohT+fuPsfutT+gTR8RFmLCd4UaNSistnpHO5L5cX4D+7DvOsr1xaemxoUALryalRPHTLXGrauoddluz6udlsOdJGa5eD/7506pB1sqemRftTbWrbenjgw0M0dzm4eWEOf75+JtVtPURZTcT4Lrbrld2nbN6cnDiirCYun5HO4eYuPjjQwBUz0jl3chIRlpBjSg6C978KOQPe4xe3VvUrL9flcA/cDaUUKyYl+V+LHoeb7ZWt/HvdEa4pyaDZ5mBbaRN2l7eG946Kdp7Z4n1PKlu6eW1nHR+WNvGDiyZz3ZxM6jvsNNscHG7q4lCjja2+CyYNCnp8xxhMfmIkl05P46Vt1Vw3J5PshDCe2VTJd57Zjkd7Z/l/flUx180JPPNd0dzF2gNN7K3tQCm4fHo60zOieWt3HRsONbOzqp1upzcd6oWvLCLSOvL/iggx1o2JwBr4HXAt8Eul1Aa8HRhf1lofm1QnhBBjyOHmo3MFhxu9HQD71uL98op8wsxG2nqc3LQw55iA8WT0/fd8MNs0L5wwsuYZs7NjefGrC3F7GNGM/9u7a/0pJGEhRn5yedGgObwrJiby8C1zqW7rYWF+POGWEMItIfz8ymKcLg8hI/zAUtFs44VtNSRFWvj07AzsLk+/9te9DjfZaO9xUpAUiTXEiNVs5IcXT+H2pfkcabLx+7cPoPvM7IcPmEVv7XKQHhPKhkPNzM+Np6zRxselTVw5M52WLoe/5fuN87PJOU6jlOiwEH51dTHfuqCQ5EgrzV0O/ufVPaTFhNLQYcfu8vCTF3ezKD8hYMm+6NAQ9tZ6Z7y1hhCjwu5y85OXd2NQ3g+Gr+6o5UhTFza7WwJrcVYaE4G11vo94D1fU5dzgNuA+4Hh9zAVQogz0F3nFnDno1vwaM23Vk48psFFYXIk/zsgr7nF5qC+o4fESAtxvtzWE3HxtFRCzUZ6nG7OnZQ8on23Hmlhd007WXHhzM2NO+nygOGWkQdhseFHP2QkRg79OiilWBKgOyAw4qAa4OOyZt7b7221PTUtivZuJ7csyum3zdqDDdz+8Ca6HG6+tCyPr59fiMVkxBpiJDMujPSYUG7tcnKwoZN73i3F4faQlxDO9XMyae128kl5MwvzE1i9p45lhQkYDIovLM5lY3kzb+yq5eLiVBIizEzLiGH5pCSGUywrzGwiO977p7+poYcVE5PYV9tBcXo0pQ2d7K/rpLHTHjCwnpYZzQVTknlzdx2hIUbm58VT1ujN9e6b9PPFpXnHfT8Gcns0T2+q4JF1R5iaFsWXl08YcUdFIc4EYyKwBvBVBbkU78z1LOCh0R2REEKcvOUTk3j328vRWvtnkG0OF1uPtKIUzMqMxWo+mhqxt7adbzyxjd017RQmR/B/18444drZ1hAjFxUPXTs6kDd31fLlRzb7Ow3++NIp3DzCCiMj1dDRg0fTL7/8/Ckp/OPGWXTYXZwz4IOB21dPutPuYmFe/LDrdg9XapTVn1qSFRvGJctSj6mL/MbOOn96yN/fK+NTszOZ4Kv+4fZo3t9fT3OXg3CLiaWFCRiUt0b1k5sqvc1lluTy/NZqlML/oeDcyck8/5VF7KnpICM2lFlZsf0+1JQ1dOLRmglJkcd9DrVtdp7zpZ3srmnn4uJUfyWTQCIsIfz6U9O4qbodBfz4xV0YjYpVRSkkRJiJCQ3hn5+dzdKCxBF36PykvJnvPrMDgB3VbSRFWfj6+cem5AhxphsTgbVS6gm8VTlex9uGfI3WeuhkMiGEGCMSIo7O7nXZXfz81T08sv4IALctyeWbF0zE6ss7fm5zFbtr2gHYX9fJUxsrmXrZiQXWJ+rhj8v9QTV4W5NfMj2t3/MIpg8PNnLHI5uwuzz85fpZnDfFG0SbTQZWDtJU5pXt1dz1+FYAbl+axw8umnxSY/joYCMflzURF27m0mlpLC5I4D+fn0dDRw+LJiQErHqRFmPtdzs69Oif3Dd21XLHI5sBb+58cVo0a/bXc8GUZP9rW9XazWUzUrm4KK3fh6e+eeZ9bTrczI3/2oDbo3ngljksOk5KTt/3ELx1s3959bR+H0Iqmrt4bMMR6ju8F14uKUhk0YQEvv/sdvbXe2er99QcbdLylxtm9vsgOFxt3d6OnFlxYczKimV3TQfry5qYlzd0q3EhzjRjIrDG23nxBq31sVeGCCHEOLK7pt0fVAPc+8EhLpueRrGv5JnN7uq3fYfdyekWqHPeyXbsGspzWypp6/Y+73+8X+oPrIeyx/fhA7wz7N9ZOfGEGpOAtwb4LQ9+4r/AsKyhk59dUXzcwPXakkzMRgONnQ5WTk3pF3zvqT46vqZOB1nxYVhMBorTo9hT206rzcm1czIHrUsdSHlTF91O75/JQ422445vQV4C15Rk8szmSpZMSOCOFROOSQF58KNy7lt7CIBXttfy6l2LibCa/Be9DrS1ovWEmhvNyoplSUEC4RYTz/su5q1v7+G5OxYdkx4lxJlsTATWWuvXlVILlVI59Bmz1vrh0RuVEEIEX8iA4E8p+gWEK4tSeGpTJXaXB7PRwCXFIw9iNh1u4c1dtYRbTFxcnEp5k422bifLChOJH8as82cXZPNhaZN/xvPbKycOa78T4XB5mJQSxcqpbt7dW8/UQZrHDLQwP4EHPiqnx+nhlkU5JxxUAxyo6/AH1QCv76zje6smE24Z+k9oXIRl0Dre0zKi/akk6TFWblqQzZ3nTCA2zMxnF+Tg9ugRv6ZLCxK485wJuNweVgyjC2F0WAj/c0UR3zi/gJhQc8CZ5rI+TXm6nW5au53EhZuJsJqwdzqO2T50iIouQ0mMtPLH62aw4VAz7+ypx+H2kJ8UIUG1GHOUHmad0dGklPo3kA9sBXpnrbXW+q5RG9QgSkpK9MaNG4+/oRBCBOBye7hv7SF+8dpelIIfXzKVzy7I7hdgbK9spbzRRnZ8GNMzY4c42rHKGjq56q8f0uqbAV6QH09tWw+HGm18fnEOP7pk6rCOs62ihT01HWTFhTEnN+6YDwTB8rc1pfzq9b2EGBXfXzWJi4vT+tX5HkppQyfdDjeTU6NGnPPb10cHG7nxvvX+ChxXzkxnVVEK/1l3mNhwMzfOy6a6tZvESAsL8uOPexFhbVsPHx5ooLnLgcujOWdSEhNTzsxr8V/fWcNXH92Cy6O5bHoaU9MjabE5SY228t8v7u63rVLw2BfmMT9/ZFVhBtpwqImKlm4W5ceTEj38lvfixCilNmmtS0Z7HOPFmJixBkqAKXosfAoQQoiTYDIauG1JHudO9lZ5yEsIPyZQm5YR4++GN1KVLd3+oBpgw6Fmlk9M9NVEbhv2caZnxo44qO92uNhd04FRweS0KCymoWc3e5xu/v1xOQBOt6amrWfIoNrucmN3evwl+/IHXIS3t6adJzdW0NLl5NLpqcdc8DiYBfnx3HPDLN7ZW09ylIW5ufHc+uAnuDwai8mA26N5eXsNSsFPLp3K5TPSA7ZyB2+b9bse28yG8hb/ssQIy3ED6/JGG2sPNqK1ZkF+gv8iyFPtwqJUXvhqGO1dTl7YXs0vXvV2XZyQFM4PVk3iN2/uw+nWJEVZ+OFFk4OSEz03N565p/ZaWCFOmbESWO8EUgBpJy6EGPcMBjWsqg4nIis+jKRIC/Ud3m6HywoTMBsMJEVZ+OqKY7vtBUNpQyer99RR2dLN27vrqG7rYeWUZH506RQyYgcvqWYNMXLB1BQe/KgcgCmpgwef5Y02fvTCTvbUtPO/VxazcmpKv/W1bd08/HE5bd0u3tlbzyvba3jqS/OH9eFAKcWq4lRW+SqoPP7JEVy+6etwi4lmmzclQmv4sLSJ/fWd/PelUwLO4q8ra+4XVAP89q39nD8lmehBapQfrO/g5vs/obK1G4D4cDP/+cI8Jg/xegTT1LRobHYXdz2xtc+YbKwqTuXcKcm02BxkJ4T7O1IKcTYbK4F1ArDb1xzG3/tWa33Z6A1JCCHGnpz4cP51Uwmr99QTZjZy8bRUEiMsON2aCGtw/iS43B5/TnNtWzdf+vcmDvgqSFw1K51nN1fxxu46pqRHcfe5hUMe6+vnFTI/L44Ii4kFQ6QYfFjayAcHGgH4/Vv7OX9ysj99RmvNX945yKMbKjAaFJdNT+O5LVVUNnePeNa92WZnU3kLceFmmm0Omm0O5uXG0eP0EBceQk1bN2/truWO5XmkxRz7oaEzwMWmTZ12epweBqvtsvZAoz+oBmiyOXh3b/1pC6zB+wHi84tz+eVrewG4aUE2yVFWb6m/46dzC3HWGCuB9Y9HewBCCDFeBEolOYH+LMeo7+jhz6sP8v6BBq6elc5tS/I40tztD6oBalq9Lcfbe1y8sbPuuIF1dFgIFxalcqSpi9+9uY/GTjuXTk9jSYE3mqtq6eKl7TVo7W3r7dEwLyeuX056l8PNm7vrAG+JOZvdRYTFSP4JpFNsr2zjqU2VXFScgsutMRoUde09VLR0sbfWRZfDTVKUhTBz4D+vs7JiCQ0x+qt3AHxmXvaQKS4O97HVZQMtO9VuXZTLtPRoHG4PJTmxJ90USIjxaEwE1r7Oi0IIIc5gr26v4d/rDgPwwtZqoq1mCpIjyI4P43BTFwBJURY+LvPmeBelD3/G9d4PyvzHfnl7DS/duZisuDB+/upe6jt6SIiwcOc5E0iPCT2mHF+4xcQXFufy89f2EmU1MScnltuW5DLpBGZ8e9M7Xt1R6182MTmSZYWJPLeliuQoC7+/ZsagrecLkiP5100l3P/hIfbWdHDlrHRunJc15GMuyI/vF4ybjYbjltIbSrPNwUvbqqjvsDMnJ47lE4dX0s9sMoy4Xb0QZ5szOrBWSq3VWi9WSnXQv2OqwlsV5My8jFoIIc4Sde09PL2pgtYuF+l9GqIUpUfz3y/tItxs5N7Pzebj0iYON3exraIVgAiLkU/Pzhz24+ytPVr3ucvhprXLQUxoCNsrW8mMC+O1nbWs2Wfkd5+eHrDN+62Lc1lUkECkNYSsAO26h2t6ZjQL8uL4uKzZv8yg4DsrC/nG+YWEmY3EhJnxeDQfHGigqrWbkpw4CpOP5swvmpDAgrx4HG6Pv/HPUIrTY3jkC/N4d189bo9mWWEic3LiTvg5/P29Uv75fhkARkMZ/751rgTMQgTJGR1Ya60X+76fmqt4hBBCnJSnN1Xymzf2AzApJZKLilJ4dWetf2a3y+km3BLCN1dOYntFK+sONWMyeOtMj2TG+IZ52Ww83ILWcOHUFCYkRhJqNrK8MJFPDnsvBux2ugkxBS51ZzIa/N0K69p6eGN3LREWEyunphy3HnWvHqebjeUtXD07g5VTk1l7sImp6VFcOi2NpKj+ZeHe3lPHF/+zCa0hJz6MR2+bT1rM0W0MBoXV0D+oLmvwdtLcUdXKeVNSuHpmur8LokbT0uUgOdJ6TLWTkXC43Ly642gdALdHs6emXQJrIYLkjA6shRBCnNlau45ejFfd2s29n5vN1y8oRAGFyRFkxoUxLcMb0E7LjGFaZswJPc4VM9LIiQujrcfJ9IwYfzm7Ly7PJ293HdsrWpmSFjWstIZ7PyjjX75ugr+82sN1c4ZOxQDvBZn3vHuQP79zEIBZWTHcc8MsUmMC11neX9dBb4HY8qYuqlu7+wXWAzndHn752l5/Lvjag00YgM8tzKHb6eL7z+zwtxCPtJq4edGJ1aMzm4zMz4vn6U2V/mVZ8Udn8D0ejc3hItIahKR7Ic5CElgLIYQ4YZdOT+X9/fVUt/bwv1cWkxkX7l93IiUD3R7NurImWmwOijOiyY73Hk8pxczsYyt4ZMSGccsIg8yKli7/7eYA3QMDqW7r4S/vHvTf33yklU2HW7hkkGB5VnYsFpMBu8vDvNxYchLCA27nP35rtz+o7vXe/gY+tzAHjwd6+nR+dLlPrqXD3ecWkBhh5lBTF+dOSmKF78NIfXsPv3x9L+/ta+Cakgy+em4B4YNchCmECEx+YoQQQpywaRkxPHvHQhwuTWx44Av2RuKxDUf4r+d3ApCfGM59N83pF5RqrTnS3EVoiJGkqOF1YBzotiV5NHY6SIq0cGFRyvF3ACwmA1ZT/2oefVuAd3Q7eWdfPZUt3RSlRbO4IIGnv7yQurYeitKjSThOjee4cDMTkyPYV3e0gsoUX/v2cIuJX109jXs/KCUrLpyLpqWO5OkeIzMujO+umnzM8jd31/Hs5ioA/vZeGbOz4/wXgh6o66Cxw87ElEjipF61EIOSwFoIIcRJCbeEEOB6wRFzuNz84/1S//3SBhsbDzf3C6yf3FjB95/dQZTVxD8+W3JCnf5KcuJ4+ksLjtt6vK/kKCv/d+10vvbEVnqcHm5fmsei/KOP/df3SvnbmqNj//P1M7h0ejrF6YNVp+4v0hrCTy8v4scv7WZPTTuXTk/jU7Mz/OsX5MezIP/kuxoOZWDX9977Hx5s5AsPbaTb6WbZxER+9+npx/2gIMTZSgJrIYQQZwSTwUBmTBgVzUeboUSHHs31be1y8L+v7sGjobXbxSs7ak64hfZIgupeFxal8m5mDHanh/TYUP8FmhUtXfzrg7J+2z62voJLp6eP6Pjz8uJ56kvzabE5SYsJxTgw0j3FLpiazPbKNtbsa+CaORn+QH7Nvnr/TP17+xrYXd3O0kLpCiNEIBJYCyGEOCMYDIrvrprEj1/cxaEmG7cuymFpwdEALjTEyJTUKNb5St2lDdFU5VRJjT42p9piNGAxGXG6Xf5lUaEjv/ivo9vJyztq6OxxcWFRCpknURawr9YuBw9+VM6B+g4+Nz9n0A8jCRFWfnn1NLodLkL75Fan9Em5MRsNxEecfMqPEOOVBNZCCCFOOYfLw+u7aqlt7eacyUmDXtg4PTOGJ744n26Hm+gBTVYsIUb+54oiXt9ZS5Q1hEump52OoR9XUpSVH1w0iR88580Nt4YY+Oz841caGei5rVX8vxd2AbCntp3fXzNjRPs3d9r519pDlDZ0cuuiXH8A/d7+Bv7w9gEADtR18vKdizGbBq+fHTrggsUrZ2Xg1pqqlm6WTUzyly0UQhxLAmshhBCn3Oo9ddz12Bbv7b31PHzrXCyDNEcxm4x8dLCJ3bXtFKVFsbTwaAm9CUmRfPWcM6+1wbVzspicEkVlazeTUyNPqCJKk83uv13apw38cL27v4G/+vK8K5q7ePGrizEZDUT0qdOdFGnFaBhZK/K4cDO3L80f8XiEOBtJYC2EEOKUa+46WtaurMGG062xDJIt8dHBRm596BM8GowGxWO3zWNu7qm9cO9kGQ3ecoCBSgIO16qiVNaXNlPb3sO3Vk4c8f6R1qN/0tNjj+ZoLy1M5E/Xz6S6pZvzpiSd9txtIc4mElgLIYQ45VZMTOKKmWnsqGzje6smE2Ed/M/P4SYbHl+pZrfHW17vTAysD9Z38NiGChIiLNwwN8vftOZETUqJ4j9fmIfbowedzR/K8sIk/nz9TGraujl/cor/As0Qo4HLzpC0GSHGOwmshRBCHGNvbTuvbKuhrqOHxRMSuLAoFbNpZCkEfaXFhPKHa2fidHv81TQGMyMrlsRICw0ddlKiLExLjznhxz2VXthazX2+Do458WGsKj65+tLgbb0+RPrzkMwmA5dKAC3EqJLAWgghRD/NNjtffXQzB+ttADy5sZI/XQeXzRhZ+bhAjhdUA0xOjeLx2+ZxqLGLvMRw8hIjRvQY++s6WFfWRFZcGMsKE0+otN5wpPu6LpqNBhIjpa6zEEICayGEEAPsqm73B9W93tvfEJTAerjykyLJP4ELAJttdr7yyGYO1HeiFDx8y1yWnKKay1fOSicjNpTo0BCKM2JOyWMEsre2nbYuJ9MzYvp1fxRCjD4JrIUQQvQTHRqCUqD10WUn2j58KO3dTlbvqaPL6Wb5xETSY06+bnNbt4sDvooaWkNVa/dx9hhcfUcPD39UzpHmbq6bk8nCCQn91ltMRhYXnN5GKR8dbOSWBz/B7vLwlRUT+PYJXOQohDh1TjxhTgghxLg0NS2ar51b6L+fkxDGZdO8ubsH6jr43Rv7eOijcjrtzpN6nH+8X8rXn9zGD5/byXee3nHSxwPIiA3l6+cVohTMyophfl7cCR/rle01/OXdUl7cVs3dj2+hpU9lk9GytaIVu8sDeNu72+yu4+whhDidZMZaCCHGMI9H0+10E24J3q9zo0Hx1XMmsGJiIi1dDqamRZPgyyH+x/ulPL2pCoDYsJATTg/xeDSv76z13//wYCONHQ4iBqvBN0whRgNfWZHP1bPTibaGEHkCHRD9Y+wzY6+BHZVtlDfZmJYRzYzMEy+rdzJmZMZgMRmwuzxcU5IZ1PddCHHy5CdSCCHGqEMNNv7n1d1sr2zjtiW53Lww96Qqd/RlNCimZcYcs9zSp2SFyXjiFwUaDIpVRSn85V1vQ5MlBQkkRAanVbbJaCAj9uTTSi4uTqW6pZvSxk4+NTuD2x7eiN3lIcpq4tk7Fp5QE5iTtXBCAi98ZRFt3d4cayHEmUUCayGEGKOe21LJ6j31APz81b0UpUezMD/hOHudnNuW5JERG0pChIVzJiaf1LG+uDSfguRIuhwulhUmnfRsdbClRFv50aVTAHhlW7U/BaO9x0V1a8+oBNYAk1KjRuVxhRDHJ4G1EEKMUb2BXi/ngPunQk5COF9ePiEox4oMDeHy01hp5GRMz4xhemY02yraWDYxkSlpZ15bdSHE6JPAWgghxqhLp6fx9p46Shts3Lwwh5LcE79QTwwtIy6M+2+aQ01bNxmxYcSEBSdt5XjsLjdbjrTS3GmnOCOGzLiTT3ERQpw6ElgLIcQYVZQezTNfXkh7j5PkKGu//OdTqayhkw/2N5AZF8aKSUmnrAHLmSY+wkJ8ROBGMHtq2ilvtNHZ4yLcYmTRhMSTbnHu8Wj+tPoA9/jy0BMizNx/05yAue9CiDODBNZCCDGGxYSZT9vsKYDd6eaHz+3k47ImlIJHvjDvlOd1n+n21bbzjSe2EBdh4cODTQBcPTud/728+KQauOytbeeva0r99xs7Hbyyo0YCayHOYFLHWgghxLA53ZqDDUcbsLTYHDTbHDyy7jCPrj9CW9fJ16LuVdHcxcH6jqAd71Qpb7KRGRfuD6oBntlURU17z0kdt8fp6dekB5C61UKc4WTGWgghxLBFWE386qpi7nm3lNk5sSyakMCTGyv4+at7AW9O8C2Lck/6cTYebubWBz7B5nDzl+tnsqo49aSPeaoUpUXz1q46kqMs1LXbAciICSXKemJ/Yt/YVcu6siampEZx8bQUXtnurfdtUHDOpKSgjVsIEXwSWAshhBiRcyYnc87ko6X2OnqOzqJ2BmlGdUdFG+2+42483HJGB9bpsWF8d9UkVla08tauOlBw/dysQfOxh7Kzqo2vPLIZl687zb2fm82CvAQaO+2U5MSy6CxPuxHiTCeBtRBCiJNy5cx0bHYXBqW4bHpaUI45JzeOrPgwmjrsLCtMDMoxT6XESCvnT0nh/CkpJ3Ucu9PjD6p73Tg/e2THcLlp6LATH24m1Cx/5oU4nZQemMAlTkpJSYneuHHjaA9DCCHGvJYuBy63h8RI62gP5bRxuDw8+FE5/1l3mFVFKdx57oQRNc7pcbj55et7efCjci6fkcZPLys66eokYnxTSm3SWpeM9jjGCwmsg0wCayGEECfL6fYQYhx5fYF9te2s/MMH/vtPfXEBc6S+uRiCBNbBJVVBhBBCiDPMiQTVAEmRVmZnxwKQnxhOWmxoMIclhDgOSb4SQgghxonYcDN/uX4m++o6yEsMJz1GAmshTicJrIUQQohxJDUmlFQJqIUYFZIKIoQQQpxmPQ43+2vb6egJXkMdIcTok8BaCCGECKKD9R386rW9PPDhoUE7Jf7xnQNc8IcP+MlLu7E73ad5hEKIU0UCayGEECKIntlcxd/eK+UnL+3m49KmY9Y7XR5e21kDwEvbqmmXWWshxg3JsRZCCCGCKDnK23ExxKiIDzcfsz7EZOBHF0/hyY2VXFycclbV6RZivJPAWgghhAiia2ZnkhUbRmy4mZlZsQG3OXdyMuf2aQsvhBgfJLAWQgghgijMYuIcCZqFOCtJjrUQQgghhBBBIIG1EEIIIYQQQXBWBtZKqTil1FtKqQO+78ckwSmlMpVS7yql9iildiml7h6NsQohhBBCiLHhrAysge8Bq7XWBcBq3/2BXMA3tdaTgfnAV5RSU07jGIUQQgghxBhytgbWlwMP+W4/BFwxcAOtdY3WerPvdgewB0g/XQMUQgghhBBjy9kaWCdrrWvAG0ADSUNtrJTKAWYC6wdZf7tSaqNSamNDQ0OwxyqEEEIIIcaAcVtuTyn1NpASYNUPR3icCOAZ4Gta6/ZA22it/wn8E6CkpESPcKhCCCGEEGIcGLeBtdb6vMHWKaXqlFKpWusapVQqUD/IdiF4g+pHtNbPnqKhCiGEEEKIceBsTQV5EbjJd/sm4IWBGyilFHAfsEdr/fvTODYhhBBCCDEGna2B9S+B85VSB4DzffdRSqUppV71bbMI+CxwjlJqq+/rotEZrhBCCCGEONON21SQoWitm4BzAyyvBi7y3V4LqNM8NCGEEEIIMUadrTPWQgghhBBCBJUE1kIIIYQQQgSBBNZCCCGEEEIEgQTWQgghhBBCBIEE1kIIIYQQQgSBBNZCCCGEEEIEwVlZbk8IIcaiLoeLj0qbcLg8zM+NIy7CMtpDEkII0YcE1kIIMQY43R7+7+0D3Pt+GQAXTk3h15+aRlRoyCiPTAghRC9JBRFCiDGgvt3Ovz4o899/fVctB+s7R3FEQgghBpLAWgghxoAwi4GUKKv/vsVkkNlqIYQ4w0hgLYQQY0BsmIU/XjeTuTmxTEmN5J4bZjEhKWK0hyVOIafbQ5fDNdrDEEKMgORYCyHEGDE3N44nvrgArcFgUKM9HHEK7apq46cv76a8ycY3z5/Ip0syUErecyHOdDJjLYQQY4hSSoLqs8CDH5ez/lAzde12vvvsdvbUtI/2kIQQwyCBtRBCCHGG6Xa4/be1Bqdbj+JohBDDJYG1EEIIcYa5aWEOyVEWlIJvXzCRKWlRoz0kIcQwSI61EEIIcYaZkxPHa3ctpcvpIjU6FKOk/wgxJkhgLYQQQpyB4iLMxGEe7WEIIUZAUkGEEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEKIcURrTY/TNdrDEOKsJIG1EEIIMU60dDn4r+d3suK37/H4hiNorUd7SEKcVSSwFkIIIcaJjYeaeWT9EWraevjBczuobuse7SEJcVaRwFoIIYQYJxIiLYQYFQAFSRFEmE2jPCIhzi7yEyeEEEKMEzOzYnn41rmUNtiYlxtHdJh5tIckxFlFAmshhBBiHFmQn8CC/ITRHoYQZyVJBRFCCCGEECIIJLAWQgghhBAiCM7KwFopFaeUekspdcD3PXaIbY1KqS1KqZdP5xiFEEIIIcTYclYG1sD3gNVa6wJgte/+YO4G9pyWUQkhhBBCiDHrbA2sLwce8t1+CLgi0EZKqQzgYuBfp2dYQgghhBBirDpbA+tkrXUNgO970iDb/QH4DuAZ6mBKqduVUhuVUhsbGhqCOlAhhBBCCDE2jNtye0qpt4GUAKt+OMz9LwHqtdablFLLh9pWa/1P4J8AJSUl0j9WCCGEEOIsNG4Da631eYOtU0rVKaVStdY1SqlUoD7AZouAy5RSFwFWIEop9R+t9Y2naMhCCCGEEGIMO1tTQV4EbvLdvgl4YeAGWuvva60ztNY5wHXAOxJUCyGEEEKIwZytgfUvgfOVUgeA8333UUqlKaVeHdWRCSGEEEKIMWncpoIMRWvdBJwbYHk1cFGA5WuANad8YEIIIYQQYsw6W2eshRBCCCGECCoJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECIKzsqW5EEIIMZhOu5O3dtVhNCjOn5JMqFn+VAohhkdmrIUQQog+XtpWw9ef3MZdj2/ljV11oz0cIcQYIoG1EEII0YfD5fHf7nG6R3EkQoixRv6/JYQQQvRxybRUXB4PRqW4sChltIcjhBhDJLAWQggh+oiPsPD5xXmjPQwhxBgkqSBCCCGEEEIEgQTWQgghhBBCBIEE1kIIIYQQQgSBBNZCCCGEEEIEgQTWQgghhBBCBIEE1kIIIYQQQgSBBNZCCCGEEEIEgQTWQgghhBBCBIEE1kIIIYQQQgSBBNZCCCGEEEIEgQTWQgghhBBCBIEE1kIIIYQQQgSBBNZCCCGEEEIEgQTWQgghzgoflTby2fvW8+d3DtDtcI32cIQQ45AE1kIIIc4K9689xAcHGvndm/vZWdU+2sMRQoxDElgLIYQ4K8zJiQMgNyGM1GjrKI9GCDEemUZ7AEIIIcTpcNPCHObkxJIcFUp6bOhoD0cIMQ5JYC2EEOKsYA0xMis7brSHIYQYxyQVRAghhBBCiCCQwFoIIYQQQoggkMBaCCGEEEKIIJDAWgghhBBCiCCQwFoIIYQQQoggkMBaCCGEEEKIIJDAWgghhBBCiCCQwFoIIYQQQoggkMBaCCGEEEKIIJDAWgghhBBCiCCQwFoIIYQQQoggkMBaCCGEEEKIIJDAWgghhBBCiCCQwFoIIYQQQoggkMBaCCGEEEKIIJDAWgghhBBCiCCQwFoIIYQQQoggkMBaCCGEEEKIIJDAWgghhBBCiCA4KwNrpVScUuotpdQB3/fYQbaLUUo9rZTaq5Tao5RacLrHKoQQQgghxoazMrAGvges1loXAKt99wP5I/C61noSMB3Yc5rGJ4QQQgghxpizNbC+HHjId/sh4IqBGyilooClwH0AWmuH1rr1NI1PCCGEEEKMMWdrYJ2sta4B8H1PCrBNHtAAPKCU2qKU+pdSKjzQwZRStyulNiqlNjY0NJy6UQshhBBCiDPWuA2slVJvK6V2Bvi6fJiHMAGzgL9prWcCNgZJGdFa/1NrXaK1LklMTAzSMxBCCCGEEGOJabQHcKporc8bbJ1Sqk4plaq1rlFKpQL1ATarBCq11ut9959m8FxsIYQQQghxlhu3M9bH8SJwk+/2TcALAzfQWtcCFUqpib5F5wK7T8/whBACehxuDtZ30Gl3jvZQhBBCDMPZGlj/EjhfKXUAON93H6VUmlLq1T7b3Qk8opTaDswAfn66ByqEODu53B5+99Y+zvv9+3z/2Z3YJLgWQogz3rhNBRmK1roJ7wz0wOXVwEV97m8FSk7fyIQQwqu928Wj648A8NK2ar5+XgF5iSGjPCohhBBDOVtnrIUQ4owWGx7C188vJMpq4kvL8kiLCR3tIQkhhDiOs3LGWgghznRKKT6/OJerZ2cQZQ3BaFCjPSQhhBDHIYG1EEKcoZRSxIaZR3sYQgghhklSQYQQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQgghhAgCCayFEEIIIYQIAgmshRBCCCGECAKltR7tMYwrSqkG4DAQDbQdZ/PjbTPU+gSgccQDHH3DeV3OxMc6mWOdyL7D3edUn2dj1Vg9z072eCPd90w6z8bq77Qs4MgYfKyTOdZI9x3u9tFACEOfB8fbZqjHGuocG2xdoOUnumwk9weuO5W/07K11omn6NhnH621fJ2CL+CfJ7vNUOuBjaP9HE/V63ImPtbJHOtE9h3uPqf6PBurX2P1PDvZ44103zPpPBvDv9MaxuJjncyxRrrvcLcH/nm88+B42wz1WMfZL+C6QMtPdNlI7gdYN+5+T4/XL0kFOXVeCsI2wznGWHM6n1MwH+tkjnUi+w53HznPAhur59nJHm+k+8p5dvJax+hjncyxRrrvcLcPxnk23Mcaa8brz8+4I4H1KaK1Pu4PwfG2Gc4xxprT+ZyC+Vgnc6wT2Xe4+8h5FthYPc9O9ngj3VfOs6A4nWlUwXyskznWSPcd1vbBOM+G+1hjzTj++Rl3JLAeu/452gMQQoggGqu/007nuIP5WCdzrJHuO5Lth7PtUNsEe12g5Se6bCT3x+rPw1lPLl4UQgghhBAiCGTGWgghhBBCiCCQwFoIIYQQQoggkMBaCCGEEEKIIJDAWgghhBBCiCAwjfYAhBBCnD2UUucD1wD3aK23KqVu11pLBQQRNEqpLwGzgdXAjcArWuu/DbUu0HJAD2dZ77GFAAmsz2hKqRuAywA3oICXtNaPje6ohBDipNwB3AL8l1IqDpgxusMR49A5wLXAB1rrxUqpvw9jXaDlccNcJoSfpIKc2ZZpra/TWn9Ga30DsHi0BySEECepQWvdqrX+FnABMGe0ByTGnSbtrSX8K999+zDWBVo+3GVC+MmM9ZnNopS6GKgAMoHQUR6PEEKcrFd6b2itv6eUunM0ByPGpT9Cv26Fzwxj3cDlzwJ1AbatH+LYQkiDmDOZUioMuArIwBtcP6u17h7dUQkhhBBnPqXUJOByIB1vbnQ18KLWes9Q64Z5nB1A8XD2F2cXCazHAKXUZLw/1GnID7AQYhwYSWAjxEgppb4LXA88DlT6FmcA1wE1QOog61bjnZXuPS8LgFzgoT7bfgZYDqwBHhmw/+Na61+emmclxgIJrM9wSqnvcPSXQ5VvsfwACyHGrOMEPfJ7TZw0pdR+YKrW2jlguRnoBMIDrPsB8N++r97z8v/w/u31n5e+Y88AtmmtCwYce1ffZeLsI4H1Ge44vxzkB1gIMebI7zVxqiml9gIrtdaHByzPBvYDhQHWlQFOrfXEAce5BHit97z0LbsVeGDAttnAm32XibOPXLx45vPgTQE5PGB5qm+dEEKMNfJ7TZxqXwNWK6UO4L1GCSALmAD8dJB1GcAXAhznbSBBKdVbb70TbxrItj7Leo/91WA/ETG2yIz1GU4pdSHwFyDQL4c7tdavjdbYhBDiRMjvNXE6KKUMwFy8+dIKb3rHJ1pr9yDr4oA/Efi8vAc40mfbjUBJoGOflicnzlgSWI8BQ/1yGNWBCSHECZLfa+JMJOelOFkSWI9hSqlbtNYPjPY4hBAiWOT3mjjVhjrHBlsXaPlwl4mziwTWY5hS6ojWOmu0xyGEEMEiv9fEqTbUOTbYukDLh7tMnF3k4sUznFJq+2CrgOTTORYhhAgG+b0mTrXjnGMZg6wvwNvxePuAZQxYHmhZ77Hl/D3LyYz1GU4pVQesBFoGrgI+0lqnnf5RCSHEiZPfa+JUO845VgrMDrBuI96mMHMGLLsJeABv7vVgy3qPLefvWU5mrM98LwMRWuutA1copdac9tEIIcTJk99r4lQb6hwrD7ROKfUikNW3vrVvWTuwund5oGV9tl8T1GchxhyZsRZCCCGEECIIDKM9ACGEEEIIIcYDCayFEEIIIYQIAgmshRBCCCGECAIJrIUQQpx2Sql8pdTLSqnQPst+qpT6/GiOS4wfQ51jQ6z7XoDlf1ZKbRvGMjl/hQTWQgghTj+tdSnwAvC2UipeKfVnIA94cFQHJsaNoc6xIdb9JsDyWOCeYSyT81dIuT0hhBCjQ2t9r1LKhreu8HPAZ7WUqhJBNNQ5NsS6gMuVUp3DWXa6n6M4s8iMtRBCiFGhlDIDnwZew9uwI3t0RyTGm6HOscHWBVo+3GWn51mJM5kE1kIIIU47pVQE3oDkQ6319cBXgFeVUlNHd2RivBjqHBtiXUmA5a8B7w9jmZy/QhrECCGEOP2UUonAMq31032WzQBCtdYfj9rAxLgx1DkGHBxkXSoQPmD5CmCB1vrnx1k2Azl/z3oSWAshhBBCCBEEkgoihBBCCCFEEEhgLYQQQgghRBBIYC2EEEKIs4ZS6pYTWTecbUeyvxifJMdaCCHEGUMpdYvW+oHRHocYv5RSR7TWWSNZF+i8DLTtUMcWZwcJrIUQQpwxJDARwaCU2j7YKmAqsHOQdYVaa0uA40wC9vpuF/i+WwYc55j9xdlHOi8KIYQ4rY4T9CSfzrGIcSsZWAm0DFiu8HZK/FyAda8DhgHn52SgHNDApb5lG4GbgAf6LOs99kdBGLsYwySwFkIIcboNFfRIYCKC4WUgQmu9deAKpVR5oHVKqTjgLeDLfRb/Cnga+JPW+rBvuxeBdmB177I+x1gTtGcgxiRJBRFCCHFaKaXuAx7QWq8NsO5RrfUNozAscZaT81IEgwTWQgghhBBCBIGkggghhDjtlFKTgMuBdLz5q9XAi1rrPaM6MDFuDHWODbbOd3vg8h1A8TCWyfkrpI61EEKI00sp9V3gcbw51RuAT3y3H1NKfW80xybGh+OcY68Nsm418M6A5cuBZ3zfh1om568AJBVECCHEaaaU2g9M1Vo7Byw3A7u01gWB9xRieI5zjnUC4QHW7ccbFxUMWDYD2Na7PNCyPseW8/csJzPWQgghTjcPkBZgeapvnRAna6hzTA+yzsCxcZEHbxDtOc6y3mPL+XuWkxxrIYQQp9vXgNVKqQNAhW9ZFjAB+OpoDUqMK19j8HPsp4OsCwPwpYr0Lu8E1gDblFL/HGKZnL8CkFQQIYQQo0ApZQDm4r34SwGVwCdaa/eoDkyMG0OdY4OtwzubPXD5RqBkGMvk/BUSWAshhDhzKKVStNa1oz0OMfYNUvnjBa313iH2+T7eCxLXa607fcvmAvO11n9SSk0BLgT2aK1f67Pfw1rrz526ZyPGCkkFEUIIcSa5D7h4tAchxjZfVZDr8Vb/2OBbnAE8rpR6XGv9ywD73IU3TeQV4D6l1N14c6lXAcVKqVSOzmYnKqXqgQO+3c9RSsUAaK0vO1XPS5z5ZMZaCCGEEOPKcaqCdAD7AuxWiDcusiilcvC2Mk8DMoFNQB7e4HyNb/+5wK34Su0B1wFord8L/jMSY4XMWAshhDhjKKVu0Vo/MNrjEGNeb1WQwwOWpwJG4HNAy4B1bwPhAFrrcqXUcrzpI7/xrS/VWrcrpUqAu4FLgDat9ValVLcE1AIksBZCCHFm+QkggbU4WV9j8KogbwMRWuutfXdQSlUAPb33tdadSqk9QDLeLoshvuUepdT9eGerf6iUqkPiKeEjqSBCCCFOK6XU9sFWAYVaa8vpHI8Yn0ZaeUYplQG4+l48q5SyaK3tSqlFWusP+yxPAFK11juUUhcDi7TWPziVz0eMDRJYCyGEOK18M3wrOfZf8Qr4SGsdqHmHEEExVOWZwdYFWj7cZeLsIp0XhRBCnG4v4/1X/OEBX+V4LwwT4lS67wTWBVo+3GXiLCIz1kIIIYQQQgSBzFgLIYQQ4qyhlLplpOsCLR/uMnF2kRlrIYQQQpw1lFJHtNZZI1kXaPlwl4mzi5SHEUIIIcS4cpzKMxmDrC8ALAPWFfi+910eaFnvsZNPdMxifJAZayGEEEKMK8epPFMKzA6wbiOggTkDlt2Et7b63CGW9R5bqtqc5WTGWgghhBDjTW/lma0DVyilygOtU0q9CGRprQ8PWNYOrO5dHmhZn+3XBPVZiDFHZqyFEEIIIYQIAqkKIoQQQgghRBBIYC2EEEIIIUQQSGAthBBCCCFEEEhgLYQQQgghRBBIYC3EOKSUildKbfV91SqlqvrcNx9n3xKl1J+G8RgfBW/E/Y67RilVciqOPVJKqd8opXYppX4TpOOdSc9tuVJqYZ/7X1JKfc53+2al1IhKhimlypVSCSPY/jKl1PdG8hinS9/ncrzz/ARfqxyl1M6TGaMQ4swk5faEGIe01k3ADACl1I+BTq31b3vXK6VMWmvXIPtuxFun9XiPsfB424ymoZ7jCHwRSNRa20/lYyqljFpr94hHd3KWA53ARwBa67/3WXczsBOoPlUPrrV+EXjxVB1/oBN9b4Zxnt/MKX6thBBjh8xYC3GWUEo9qJT6vVLqXeBXSqm5SqmPlFJbfN8n+rZbrpR62Xf7x0qp+30zrWVKqbv6HK+zz/ZrlFJPK6X2KqUeUUop37qLfMvWKqX+1HvcAeMKVUo9rpTarpR6Agjts+4CpdTHSqnNSqmnlFIRQx3XN95/KqXeBB5WSiUqpZ5RSn3i+1rk2y7c97w+8T3/ywOM60UgHFivlLpWKZWtlFrtG+dqpVRWoNd1BM+tUyn1U6XUemDBgFnSkt56uL7n8JbvNfiHUupwoJnhIV6rcqXUT3zLdyilJimlcoAvAV9X3v9iLPG9dt9SSn0KKAEe8a27WCn1XJ/HOV8p9eyxZxgA31ZKbfB9Tegz/kDvwc1Kqb/0eQ3/5DsPy3xjQCllUEr9VXn/a/CyUurV3nUDnvsapdQffPvvVErNHeH5EK+UetN3LvwDb6MP//vU5/Z3fK/hNqXULwO8VqFKqdlKqfeUUpuUUm8opVJ9+8727fcx8JVBXj8hxFintZYv+ZKvcfwF/Bj4FvAg3qYJRt/yKMDku30e8Izv9nLg5T77fgRYgASgCQjxrevss30bkIH3w/rHwGLAClQAub7tHus97oDxfQO433d7GuDCG6wkAO8D4b513wX+31DHc9fi/gAABUlJREFU9Y13ExDqu/8osNh3OwvY47v9c+BG3+0YYH/v4wwYW2ef2y8BN/lu3wo877vd73UdznPz3dfANX22LQcSfLdLgDW+238Bvu+7faFvv4QBjxPwtepz3Dt9t+8A/tX3vBh4nvhur+kzTgXsxTtz3/uaXhrguZYDP/Td/lyf92Sw9+Bm4C99XsOn8J4/U4CDvuWfAl71LU/B2ynvUwEeew1wr+/2UmDnCM+HP/V5vS7u+xpz9DxfhfdnIcx3Py7AaxXi26b3tbqWo+//dmCZ7/ZvescoX/IlX+PrS1JBhDi7PKWPphxEAw8ppQrwBhIhg+zzivamQtiVUvVAMlA5YJsNWutKAKXUViAHb5pBmdb6kG+bx4DbAxx/Kd7ABq31dqXUdt/y+XiDrA+VdwLcjDdon3Sc476ote723T4PmOLbHyBKKRUJXABcppT6lm+5FV+gNchrALAAuMp3+9/Ar/us6/u6Due5AbiBZ4Z4vF6LgSt9x3hdKTWwDTMM/lr16p1h3tTnOQyL1lorpf4N3KiUegDv6/C5QTZ/rM/3//PdHuw9GOh5rbUH2K2USvYtW4z3tfUAtb7/CgzmMd9431dKRSmlYnzLh3M+LMX3umitXxnkNT4PeEBr3eXbrjnANhOBIuAt32MYgRqlVDQQo7V+z7fdv/EG6kKIcUYCayHOLrY+t38GvKu1vtKXGrBmkH365he7Cfx7I9A2KsB2gwnUAlYBb2mtr++3UKmZxzlW3+doABb0Cax6j6GAq7XW+0YwxoH6jtk26FaBnxtAz4Bg3MXR9Dxrn+XDeR0DvlZ99L4/g71/x/MA3hn7HryB7mC5yjrA7cHeg8HGCEef88mcQ733h3M+BNp/IDXMbXZprRcMOH7MMPYVQowDkmMtxNkrGqjy3b75FBx/L5DnC9rB+2/xQN4HPgOglCrCmzIBsA5Y1CdXN0wpVTiC4wK8CXy1945Saobv5hvAnb4AezjBOnj/xX+d7/ZngLXD2Gew5xZIOTDbd/vqPsvXAtf4jnEBEBtg38Feq6F0AIFmjo9Zp7Wuxntx3n/hTdsYzLV9vvfOmA/2HgzHWuBqX651Mt60oyEfWym1GGjTWrcF2GawsfR9n1YR+DV+E7hVKRXm2y7Ot7zva7UPSFRKLfBtE6KUmqq1bgXafGOj97GEEOOPBNZCnL1+DfxCKfUh3n9ZB5VvVvAO4HWl1FqgDm8u9kB/AyJ8aRLfATb49m/AG/A/5lu3Dpg0guMC3AWUKO/Fg7vxXrAH3tn6EGC78pY9+9kwntJdwC2+sXwWuHsY+wR8boP4CfBHpdQHeGeW+y6/QCm1GW/6QA3eYM5vsNfqOGN7CbjSd9HdkgHrHgT+3ntBnm/ZI0CF1nr3EMe0KO/FmHcDX/ctG+w9GI5n8KYd7QT+Aaxn8Pe6RXlL4/0d+Pwg2ww2lp8AS32v8QXAkYE7aq1fx1vFZKMv3ak3jehBfK8V3p+jT+G9OHgbsBXorSpyC3CP7+LFfjPmQojxQ2kt/50SQpwaSqkIrXWnb2b4HuCA1vr/jrffaB33TKSUsgBurbXLNxP6N631jFEYx1+ALVrr+07z4/a+1/F4P5gs0lrXDthmDd4LL49bJlIIIU4lybEWQpxKtymlbsJ7Md0WvLOOZ/Jxz0RZwJNKKQPgAG473QNQSm3Cm6v8zdP92MDLvhxlM/CzgUG1EEKcSWTGWgghhBBCiCCQHGshhBBCCCGCQAJrIYQQQgghgkACayGEEEIIIYJAAmshhBBCCCGCQAJrIYQQQgghgkACayGEEEIIIYLg/wNkHEeOpxLQAQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name='inverse_harmonic_mean_rank'\n", + "#metric_name='hits_at_10'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "#s_square = [n*n for n in props] \n", + "s_square = [n*n for n in num_unique_ents] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", + "plt.xscale('log')\n", + "#ax.legend(title='# unique entities')\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTR_ENCODE} entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'(avg_{metric_name}_rotate) - (avg_{metric_name}_{BIOBLP_M}) \\n Difference b/w both models in {metric_name} when predicting {ENTITY_TYPE_W_ATTR_ENCODE} as {NODE_ENDPOINT_TO_PREDICT} node, Vs. {ENTITY_TYPE_W_ATTR_ENCODE} node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{BIOBLP_M}-{ROTATE}')" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "374bb073", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'cmap' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[98], line 18\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\u001b[39;00m\n\u001b[1;32m 16\u001b[0m norm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mNormalize(num_unique_ents\u001b[38;5;241m.\u001b[39mmin(), num_unique_ents\u001b[38;5;241m.\u001b[39mmax())\n\u001b[1;32m 17\u001b[0m cbar \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mcolorbar(plt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mScalarMappable(norm\u001b[38;5;241m=\u001b[39mnorm,\n\u001b[0;32m---> 18\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[43mcmap\u001b[49m),\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m#ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\u001b[39;00m\n\u001b[1;32m 20\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m# test_triples per unique disease\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 22\u001b[0m plot_\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mset_major_locator(ticker\u001b[38;5;241m.\u001b[39mIndexLocator(\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m0\u001b[39m))\n\u001b[1;32m 24\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mavg_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_rotate - avg_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bioblpm \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m Difference in \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m (averaged over test triples with \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mENTITY_TYPE_W_ATTR_ENCODE\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m node of certain node (training) degree) b/w both models, Vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mENTITY_TYPE_W_ATTR_ENCODE\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m node degree\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'cmap' is not defined" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name='inverse_harmonic_mean_rank'\n", + "#metric_name='hits_at_10'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['count']/merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "s_linear = [n*n for n in props] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=s_linear, sizes=(10,200), c=num_unique_ents, cmap='flare')\n", + "plt.xscale('log')\n", + "ax.legend(title='#(test triples)', labels = ['6', '45', '85', '124', '164', '204'])\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel('Training degree for Disease entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\n", + "\n", + "norm = plt.Normalize(num_unique_ents.min(), num_unique_ents.max())\n", + "cbar = ax.figure.colorbar(plt.cm.ScalarMappable(norm=norm,\n", + " cmap=cmap),\n", + " #ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\n", + " label=f'# test_triples per unique {ENTITY_TYPE_W_ATTR_ENCODE}')\n", + "\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpm \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTR_ENCODE} node of certain node (training) degree) b/w both models, Vs. {ENTITY_TYPE_W_ATTR_ENCODE} node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "7770e5ea", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "\n", + "img_outdir = Path('./data/imgs/')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "95958ee7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug,\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_1', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "d084ba58", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "865dd779", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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1pHPGX3DuHr5vnKZdtzcT26tAH2PMdJwf2gicHzWs01H5Ypxjda9xmmqNbGZdjVhrs3HOe3c1mNQX2GWtrWnwHlu6D6Y1OGYvB3o3E0qL9oEnnl2eOI50/Lfkd65Wvf3pWWfD72FTx5WvZRs21/Fe15GOj9bE3RpP41zEX4pzk8Bbc/vb13e84efc2v19NLzjaMlvXT0tPNd7a3LfG2fkq9pmPQ955vd13qi9geuTtXYxTp8Cg3MT5mg13Fe1x05rr/12cPTHXWvW29z3vS3xNTdvjrW22vN3qed/n9cpDZpvDfDEtsBaW2GtzcOpXR2EUxvna9u1HsW5dn7QWlvuPcE4Td+PBy5r8D3Es73dOOeJFxpMugmn5u+TBvN/ba0ttNaWW2dgpS9wrp8aupL26SPZfNJinPavFwGzjTH7jDH7cKq0JxhjJnje9Es4J6jLgLestYWexXfhNB2L8/oXYa2d57UJ67WtgTgf9i1AgrU2DierrG3zuxenaVitVK+/d+HcCUn02laMtXZMKz4LnzwHy/uez+EyYJ7XD9gunNof7/cYbq1d5Os9etb3d2vtZJy7jsOB23Cq1kpxqrpr1xNrnc5LR+N5nKw71TqdrB6iQRvqhvG1wkGcOzsDvcoG4NyxaK1dNGi/3M524dS0eO+nSGvtn4zTf+C/wH04NUpxwP9o/Dm1RcPPtiX7oznv4zTd+cgY0+SPk4f3iE1ROFXXe5qIrbnv6l6cH07vOAc0sc1dwADju0NgW48zcGpvqmj6+98ka20lzl2iu6n/We/B69g1TtvuBFp2/Lbke99S9eLA+Wxr99Ne6r9P78+92XOG54fkJ9bawcBZwI+NMSf5CsBzQ+EVnB+W7+DU0lV4TX/PWnsKTpK/Aec83Vp/AU7AaWJcaw+Qaur3tWnpOWQX8FmDfRBlrb25DbE1PBYMzue+myMf/y35natVb396bcd7XU0dV/V+/zzLen8foP537Ei/Ka2JuzX+i9Pcdpu1tuHNjeb2d+13vKnjvT33d0s0/Cyb+63zdW5r7lzva/4m9711Rr6q7dB8k2d+X+eNKpwLYp/nWmPM93DuiO/BaRLl673WKsZJemv5Sg4b7qva81ZLjq2mlj1aLVlvc9/3tsTXLu/Fax9HWWubGkXLUv93rN6+8/zW/xWnJcGdpn5/7GNxfgfPsdbmNxNKEI2vx27C+W1/4Ehvo0F8GGcwnL44vzFH7Ug1LefiNCsZjVOLko6T5S3k8Igzz+Pcibvc83etR4GbPHccjDEm0jid06Kb2FYkzhvOBqdzNE62WOsl4IfGmH7GmDicJj8AWGv34lzQ3W+MiTFOJ7UhxpjZR3h/LfU8zvu9oMF7fAj4hTFmjCfmWGPMt5taiTFmiufzCMY5KZQB1Z7k71HgAXN4EIN+xpg5Rxl3NJBrrS0zxkzFSbrahefuwUvAPcaYaE/S+WMa311riceAnxpjJnuOlaGmmU6IbfAscJYxZo5xBnQIM07ntP44d9BC8fxoGmewgFPbcdvejnp/WGvvxTkGPzJeHYl9OMMYc4xxOurfDXxtrW2qdqK57+qXOD+GPzDOYBnn4zQz8GUxzsXVnzzrCDOHR+/aD/Q3PgYOOBLPsfYqzkk4wnOn39eIV015Bmcfn+ZV9jxwtTEm3ZO4/gHnM8pswfpa9b0/gnnAr40ziEkiTvvn2u/QS8BcY8xoY0wEcEftQkc6ZxinI+xQzw9yAc55vJqmPYVzHr8Arztixhnc4mxPUlcOFB1hPT55bv7cT/2Lpa9xzoM/M87gEsfjJFgN7/L58hYw3BjzHc+ywZ7za8MOtS3xEnCmMeYkz7n5JzjvdRFHPv5b8zv3NjDGGHO+J7H/AfUvBps7rt4GxhmnI28QTv/RJmsZWvCb0trf5xaxTs3ciTjNAhtqcn/7+I6Ppn6n/vbc363Sgt86X+e25s712UANTn+UWq09p8wDbjXGDDLOheofcIZxrvK1fmPMcJwmtVfg3Jj4mTEm3Sv+BHO4Iz84TfPPMMbEG2N6Az/yEcP3jDH9jXNh/EvgRU95S46tppatxzid5O9s5nNo6Dee42cMTv8nX+tt7vveqvjaMG+LGWPGeH6fAj37+H6cxGp9M4v9DVhmnVHG3sY5rjDOsPMv4nTf2NRgO5cbYwZ49tVA4B6c5ofeCnF+P48zxvzJs1ycca6pwjznxstxWiO912DZq4D/elVoHJUjJS1XAU9Ya3daa/fV/sOp6r/cGBNkra09EfXFaZcJgLV2KU6noH8Ah3CaKsxtakPW2nU4O+VLnC/ROJyqplqP4iQmq4DlOHfDqzj8A3olzgXoOs/2XsHT/KcdvAEMA/Zba1d6xfwa8GfgBeOM3rAGON33KgCI8byPQzjViDk4d/jBScK2AF951vUhTjvVo/Fd4C5jTCHOxVB7VAl7+z7Ovt8GfI5zIfh4a1dirX0Z54vyPM6XYz5OzUC78Fysn4NzQsnGuRN0G06bzkKci4eXcPbLZTj7uyO0y/6wzrNN5gMfGq87KQ08j3ORm4tzd7vJEZ+a+6567rif73l9COfC9tUm1lONcxEyFKdfRJZnfnCakq4F9hljDvpa/ghuAWJxmvg8g/OjXd7sEvXjugOvY8pa+xFOO9v/4iRaQ4AWjYjShu99c34PLMU5r63GGUzi957tvINz1+xjnH3ycYNlmztnDPO8LsI5p/7LWvtpM3EswOl3sttau8SrPADnR30PzrE0G+c4xjgPFi1qxXv9G14Jj+fYOhvnszsI/AvnR3XDkVbk+d6eirPPajuq/hknOW0Va+1GnIu5Bz1xnAWcZZ1mGc0e/635nbNOE+tv4/T3yMHZR194TW/yuPJa9l7PsqNxjpvmvgNNHh+t/X1uDWvtUmtto+a+Ldjft+A0ldmH06fiCa9lW7W/jdPE5tj2eD8ezf3W+Tq3NXmu99Rs3gN8YZzmU9PbcE55HOc8uABnWOkyT4y+1n8MToL1Z2vtSmvtZpzfwmeMMaGez38esM0zf1/Pulfi9DF4H98X4s97pm3z/Ks9b7Xk2PK5rA+p1L8OPJLPPNv7CKcT+vsNZ2ju+96G+Fo7b2uk4HzuBZ71puF0gq/0NbMx5hycxKK2Nu7HwCRPMnESzk2OV8zhJmhrPfONxknYinA+6404+68ez42nU4DTjTF343TJ+D2HO+J/H6d/jvezWsJwWim1S9MwODySU5djnDviD1lr2/OOvEiXZ5wHbmVZa3/tdiwdxRjzZ5xBHa464swi3Yxxmlhl4QxG8smR5m+H7T2J05H2yY7eVkczxvwa+AVOk69+ntoh8TPGaQnxsrV2htuxNMU4wwZfZ6390O1YujLjNF3+L85NiDOaO6e1pCO+XzDGhBtnfOsgY0w/nDunrx1pORHp+owzPvx4TxX2VOBa9P2XHsTTFCPOOM0Zf4nTdvwrl8Pqcqy1v7dOn8Y4JSz+y1qb5c8Ji7Qfa+1HXv24mr0J02WSFpwT9O9wqhuX47Tr+62rEXUCU3/kEO9/7xx56a7L08bS1/uuG1nDbcZ5OJWv+Frz8D1pmWicZjnFOE0t7scZ0lekp5iBM8pibZOWc621pc0v0m7m4/RzEBFxTZdtHiYiIiIiIj1DV6ppERERERGRHsjX8xSkB0lMTLRpaWluhyEiIiJyRMuWLTtorW3Jw7elm1HS0sOlpaWxdOlSt8MQEREROSJjTMMHl0oPoeZhIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk19WkRERMSvVVZWkpWVRVlZmduhSCcJCwujf//+BAcHux2K+AklLSIiIuLXsrKyiI6OJi0tDWOM2+FIB7PWkpOTQ1ZWFoMGDXI7HPETah4mIiIifq2srIyEhAQlLD2EMYaEhATVrEk9SlpERETE7ylh6Vm0v6UhJS0iIiIiIuLXlLSIiIiIdLA777yT++67r8np8+fPZ926de26zczMTJ5//vl2XaeIW5S0iIiIiLhMSYtI85S0iIiIiHSAe+65hxEjRnDyySezceNGAB599FGmTJnChAkTuOCCCygpKWHRokW88cYb3HbbbaSnp7N161af8wG8/PLLjB07lgkTJnDccccBUF1dzW233caUKVMYP348Dz/8MAC33347CxcuJD09nQceeMCdD0GknShpEREREWlny5Yt44UXXmD58uW8+uqrLFmyBIDzzz+fJUuWsHLlSkaNGsV//vMfZs6cydlnn81f/vIXVqxYwZAhQ3zOB3DXXXfx3nvvsXLlSt544w0A/vOf/xAbG8uSJUtYsmQJjz76KNu3b+dPf/oTxx57LCtWrODWW2917bMQaQ96TouIiIhIO1u4cCHnnXceERERAJx99tkArFmzhl//+tfk5eVRVFTEnDlzfC7f1HyzZs1i7ty5XHTRRZx//vkAvP/++6xatYpXXnkFgPz8fDZv3kxISEhHv02RTqOkRURERKQD+Bq2d+7cucyfP58JEybw5JNP8umnn/pctqn5HnroIb7++mvefvtt0tPTWbFiBdZaHnzwwUYJUFPrFumK1DxMREREpJ0dd9xxvPbaa5SWllJYWMibb74JQGFhIX369KGyspLnnnuubv7o6GgKCwvrXjc139atW5k2bRp33XUXiYmJ7Nq1izlz5vDvf/+byspKADZt2kRxcXGjdYp0ZappEREREWlnkyZN4uKLLyY9PZ2BAwdy7LHHAnD33Xczbdo0Bg4cyLhx4+qSiksuuYTrr7+ev//977zyyitNznfbbbexefNmrLWcdNJJTJgwgfHjx5OZmcmkSZOw1pKUlMT8+fMZP348QUFBTJgwgblz56pfi3RpxlrrdgziooyMDLt06VK3wxAREWnS+vXrGTVqlNthSCfztd+NMcustRkuhSQuUvMwERERERHxa0paRERERETErylpERERERERv6aO+F2EMeZx4FvAAWvtWB/TDfA34AygBJhrrf2mc6MUEZH2tHZPPp9vPkhJRTXHDktkQmocwYG63ygiPY+Slq7jSeAfwNNNTD8dGOb5Nw34t+d/ERHpgtbszueih7+kpKIagAc/3swz105j1tBElyMTEel8ul3TRVhrFwC5zcxyDvC0dXwFxBlj+nROdCIi0t4+3XigLmEBqLHw0GdbqaiqbmYpEZHuSUlL99EP2OX1OstT1ogx5gZjzFJjzNLs7OxOCU5ERFqnsKyqUVl+aSXVelKB38rMzOT5559vt/la6tNPP2XRokVHnO/JJ59kz549R5zvzjvv5L777mvx9jMzMxk7tlHLdZF2paSl+zA+ynz+tFlrH7HWZlhrM5KSkjo4LBERaYsTRyY3Krv2mEGEBwe6EI14s9ZSU1PTqLy7JC0i/khJS/eRBaR6ve4P6MwkItJFpafG8fQ1U5g6qBej+8bw14vTOX6EbjS1xPzlu5n1p48ZdPvbzPrTx8xfvvuo15mZmcmoUaP47ne/y6RJk7j22msZO3Ys48aN48UXXwTg9ttvZ+HChaSnp/PAAw+QmZnJsccey6RJk5g0aVJdYtFwvurqam677TamTJnC+PHjefjhh33GkJuby7nnnsv48eOZPn06q1atIjMzk4ceeogHHniA9PR0Fi5cyDnnnMPTTztdYB9++GEuv/xyXnnlFZYuXcrll19Oeno6paWlpKWlcfDgQQCWLl3K8ccfX7etlStXcuKJJzJs2DAeffTRuvK//OUvdXHecccddeVVVVVcddVVjB8/ngsvvJCSkpKj/sxFvKkjfvfxBnCLMeYFnA74+dbavS7HJCIibRQaHMhxw5OZmpZAtbVEhuonuyXmL9/NL15dTWml0/dnd14pv3h1NQDnTvTZarrFNm7cyBNPPMFJJ53EQw89xMqVKzl48CBTpkzhuOOO409/+hP33Xcfb731FgAlJSV88MEHhIWFsXnzZi699FKWLl3aaL5HHnmE2NhYlixZQnl5ObNmzeLUU09l0KBB9bZ/xx13MHHiRObPn8/HH3/MlVdeyYoVK7jpppuIioripz/9KQDDhw9n1qxZDBo0iPvvv5+vvvqK+Ph4/vGPf3DfffeRkXHkB8qvWrWKr776iuLiYiZOnMiZZ57JmjVr2Lx5M4sXL8Zay9lnn82CBQsYMGAAGzdu5D//+Q+zZs3immuu4V//+lddPCLtQTUtXYQxZh7wJTDCGJNljLnWGHOTMeYmzyz/A7YBW4BHge+6FKqIiLSjsJBAJSyt8Jf3NtYlLLVKK6v5y3sbj3rdAwcOZPr06Xz++edceumlBAYGkpKSwuzZs1myZEmj+SsrK7n++usZN24c3/72t1m3bp3P9b7//vs8/fTTpKenM23aNHJycti8eXOj+T7//HO+853vAHDiiSeSk5NDfn5+o/lSUlK46667OOGEE7j//vuJj49v9Xs955xzCA8PJzExkRNOOIHFixfz/vvv8/777zNx4kQmTZrEhg0b6uJMTU1l1qxZAFxxxRV8/vnnrd6mSHN0FuwirLWXHmG6Bb7XSeGIiIj4pT15pa0qb43IyEjA6dPSEg888AApKSmsXLmSmpoawsLCfM5nreXBBx9kzpw59cp/9atf8fbbbwOwYsUKn9t1HtPW2OrVq0lISGi2D0tQUFBd35yysrJm12uMwVrLL37xC2688cZ60zIzM33OL9KeVNMiIiIi3UbfuPBWlbfFcccdx4svvkh1dTXZ2dksWLCAqVOnEh0dTWFhYd18+fn59OnTh4CAAJ555hmqq50aoIbzzZkzh3//+99UVlYCsGnTJoqLi7nnnntYsWIFK1asqNvuc889Bzid7xMTE4mJiWm0vsWLF/POO++wfPly7rvvPrZv3+5zu2lpaSxbtgyA//73v/Xe4+uvv05ZWRk5OTl8+umnTJkyhTlz5vD4449TVFQEwO7duzlw4AAAO3fu5MsvvwRg3rx5HHPMMUf5KYvUp6RFREREuo3b5oxoNMJaeHAgt80Z0W7bOO+88xg/fjwTJkzgxBNP5N5776V3796MHz+eoKAgJkyYwAMPPMB3v/tdnnrqKaZPn86mTZvqamoaznfdddcxevRoJk2axNixY7nxxhupqmo85PWdd97J0qVLGT9+PLfffjtPPfUUAGeddRavvfYa6enpfPbZZ1x//fU8/vjj9O3bl/vvv59rrrkGay1z587lpptuquuIf8cdd/DDH/6QY489lsDA+p/Z1KlTOfPMM5k+fTq/+c1v6Nu3L6eeeiqXXXYZM2bMYNy4cVx44YV1SdCoUaN46qmnGD9+PLm5udx8883t9nmLAJiWVnFK95SRkWGXLl3qdhgiIiJNWr9+PaNGjWrx/POX7+Yv721kT14pfePCuW3OiKPuhC+dz9d+N8Yss9YeeSQB6XbUp0VERES6lXMn9lOSItLNqHmYiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiJHkJmZydixYxuVX3fddaxbt67ZZaOionyWz507l1deeaVd4vOWmZlJeHg46enppKenc9NNNx31OsvKypg6dSoTJkxgzJgx3HHHHXXTjj/+eHw9PuH4449nxIgRdXHUPojy1ltvrSsbPnw4cXFxRx2fdH8a8lhERESkjR577DG3Q/BpyJAhrFixotl5qqurGz1UsimhoaF8/PHHREVFUVlZyTHHHMPpp5/O9OnTm13uueeeIyOj/mNVHnjggbq/H3zwQZYvX96iGKRnU02LiIiIdC+rXoIHxsKdcc7/q15ql9VWVVVx1VVXMX78eC688EJKSkrq1TLMmzePcePGMXbsWH7+85/XW/YnP/kJkyZN4qSTTiI7O7vRutPS0vj5z3/O1KlTmTp1Klu2bAGc2pibb76ZE044gcGDB/PZZ59xzTXXMGrUKObOndvq9xAVFcVvf/tbpk2bxqJFixg/fjxlZWUUFxczZswY1qxZw29/+9u6mpB+/fpx9dVXY4ypqzGqrKyksrISY0y9ddfU1HDVVVfx61//usXxzJs3j0svvbTV70N6HiUtIiIi0n2segne/AHk7wKs8/+bP2iXxGXjxo3ccMMNrFq1ipiYGP71r3/VTduzZw8///nP+fjjj1mxYgVLlixh/vz5ABQXFzNp0iS++eYbZs+eze9+9zuf64+JiWHx4sXccsst/OhHP6orP3ToEB9//DEPPPAAZ511Frfeeitr165l9erVTdambN++nYkTJzJ79mwWLlxYV15cXMzYsWP5+uuvOfbYYzn77LP59a9/zc9+9jOuuOIKxo4dy1133cWKFSv47LPPSEhI4JZbbgGcmpn09HSSk5M55ZRTmDZtWt16q6qquPzyyxk+fDi///3v68qvvvpq0tPTufvuu7HW1otxx44dbN++nRNPPLFFn7/0bEpaREREpPv46C6oLK1fVlnqlB+l1NRUZs2aBcAVV1zB559/XjdtyZIlHH/88SQlJREUFMTll1/OggULAAgICODiiy/2uZy32hqHSy+9lC+//LKu/KyzzsIYw7hx40hJSWHcuHEEBAQwZswYMjMzG62nT58+7Ny5k+XLl/N///d/XHbZZRQUFAAQGBjIBRdcUDfvb3/7Wz744AOWLl3Kz372s7pyay2XX345t956K5MnT65bdsWKFWRlZbF48WLWrFlTN/+NN97I2LFj+dWvflVX9txzz7F69WoWLlzIwoULeeaZZ+rF+cILL3DhhRe2uIma9GxKWkRERKT7yM9qXXkrNGwO5f26YS1Ca9bjq9z779DQUMBJfmr/rn1dVVXFa6+9Vteca+nSpYSGhpKQkADA5MmTGTJkCJs2bQIgLCysXpKQm5tLUVERhYWFlJWV1ZXfeeed9O/fn6uvvrpRnHFxcRx//PG8++67dWUzZ87kk08+qbeOfv36ARAdHc1ll13G4sWL663nhRdeUNMwaTElLSIiItJ9xPZvXXkr7Ny5s64GZN68eRxzzDF106ZNm8Znn33GwYMHqa6uZt68ecyePRtw+nrUjhL2/PPP11vO24svvlj3/4wZM1oc13nnnceKFStYsWIFGRkZZGdnU11dDcC2bdvYvHkzgwcP9rnsDTfcwN13383ll19e1w/nrbfe4oMPPuDvf/973XzZ2dnk5eUBUFpayocffsjIkSPrpl977bWcccYZfPvb36aqqoqqqioOHjwIOH1g3nrrrXqjr23cuJFDhw616n1Kz6bRw0RERKT7OOm3Th8W7yZiweFO+VEaNWoUTz31FDfeeCPDhg3j5ptv5s033wScJll//OMfOeGEE7DWcsYZZ3DOOecAEBkZydq1a5k8eTKxsbF1yUlD5eXlTJs2jZqaGubNm9fmOBcsWMBvf/tbgoKCCAwM5KGHHiI+Pr7RfE8//TRBQUFcdtllVFdXM3PmTD7++GPuv/9+9uzZw9SpUwE4++yzufDCC7nqqquorq6mpqaGiy66iG9961v11vfjH/+Y/Px8vvOd7/DYY48xZ84cKisrqa6u5uSTT+b666+vm3fevHlccsklTdY6iTRkWlOdKd1PRkaG9TW2uoiIiL9Yv349o0aNavkCq15y+rDkZzk1LCf9FsZf1HEBtoO0tDSWLl1KYmKi26H4DV/73RizzFqb0cQi0o2ppkVERES6l/EX+X2SIiKto6RFRERExGW+RgETkcPUEV9ERET8npqz9yza39KQkhYRERHxa2FhYeTk5OhCtoew1pKTk0NYWJjboYgfUfMwERER8Wv9+/cnKyuL7Oxst0ORThIWFkb//kc/TLV0H0paRERExK8FBwczaNAgt8MQERepeZiIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teC3A5Auq8DBWVs3FdIcUUVQ5OjGZoc5XZIIiIiItIFKWmRDrEnr5Qfv7SCr7blAhAeHMiz101l8sB4lyMTERERka5GzcOkQ6zYlVeXsACUVlZz77sbKS6vcjEqEREREemKlLRIh9hXUNaobOP+QoqUtIiIiIhIKylpkQ4xMiW6UdlZ4/uSEBniQjQiIiIi0pUpaZEOMT41jt+fO5aoUKfb1JzRKVx7zCCCAnXIiYiIiEjrqCO+dIio0CCumD6Q2cOTKK+qoV9cOOEhgW6HJSIiIiJdkJIW6VCp8RFuhyAiIiIiXZza6oiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtHQRxpjTjDEbjTFbjDG3+5gea4x50xiz0hiz1hhztRtxioiIiIi0NyUtXYAxJhD4J3A6MBq41BgzusFs3wPWWWsnAMcD9xtjQjo1UBERERGRDqCkpWuYCmyx1m6z1lYALwDnNJjHAtHGGANEAblAVeeGKSIiIiLS/pS0dA39gF1er7M8Zd7+AYwC9gCrgR9aa2t8rcwYc4MxZqkxZml2dnZHxCsiIiIi0m6UtHQNxkeZbfB6DrAC6AukA/8wxsT4Wpm19hFrbYa1NiMpKak94xQRERERaXdKWrqGLCDV63V/nBoVb1cDr1rHFmA7MLKT4hMRERER6TBKWrqGJcAwY8wgT+f6S4A3GsyzEzgJwBiTAowAtnVqlCIiIiIiHSDI7QDkyKy1VcaYW4D3gEDgcWvtWmPMTZ7pDwF3A08aY1bjNCf7ubX2oGtBi4hI22VvgHVvwt4VMOpsGHI8RKW4HZWIiGuMtQ27RkhPkpGRYZcuXep2GCIiUitvJzxxJuTvPFx2zI/hhF9BoO41Ss9mjFlmrc1wOw7pfGoeJiIi4k/2r62fsAB8+Q8nmRER6aGUtIiIiPgVHy0gbA3gcxR7EZEeQUmLiIiIP0keDVG965dNvRHiBroTj4iIH1DjWBEREX/SKw2+8xqsnAe7l8H4i2DYHAgMdjsyERHXKGkRERHxNymj4dS7oaYGAtQoQkREZ0IRERF/pYRFRARQ0iIiIiIiIn5OSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSIiIiIiIhfU9IiIiIiIiJ+TUmLiIiIiIj4NSUtIiIiIiLi15S0iIiIiIiIX1PSIiIiIiIifk1Ji4iIiIiI+DUlLSIiIiIi4teUtIiIiIiIiF9T0iIiIiIiIn5NSYuIiIiIiPg1JS0iIiIiIuLXlLSI+IFDxRWUVFS5HYaIiIiIXwpyOwBxGGNCrbXlbschnWt/finzV+zhma920Cc2nFtPGca0QQkEBhi3QxMRERHxG6ppcYEx5vEGr6OA/7kUjrjEWsuLS7P44zsbyDpUypLMXK78z2LW7sl3OzQRERERv6KkxR27jTH/BjDG9ALeB551NyTpbAcKy3nii+31yqpqLGv3FLgUkYiIiIh/UtLiAmvtb4ACY8xDOAnL/dbaJ1wOSzpZSGAAcRHBjcojQwJdiEZERETEfylp6UTGmPNr/wGLgenAcsB6yqQH6RUZwu2njaxX1jcujPH949wJSERERMRPqSN+5zqrwevlQLCn3AKvdnpE4qrZI5J58cbpLN1+iISoEKYOiictMdLtsERar6oCcrdAZRn0SoOIeLcjEhGRbkRJSyey1l7tdgziX8KCA5k2KIFpgxLcDkWk7Upy4ct/whcPQE019EmH8x+GpJFHXFRERKQllLS4wBiTBFwPpOG1D6y117gVk4hIm+1eBgvvO/x67wpY+Fc4++8QFOJWVCIi0o0oaXHH68BC4EOg2uVYRESOTvaGxmVb3oPSXIju3fnxiIhIt6OkxR0R1tqfux2EiEi76DWocVn/aRAW2/mxiIhIt6TRw9zxljHmDLeDEBFpF/0zYIzXAIhRyXD8LyA43L2YRESkWzHWWrdj6HGMMYVAJFAOVAIGsNbamM6OJSMjwy5durSzNysi3U1pPhzcABUlkDAU4lLdjkhEuiFjzDJrbYbbcUjnU/MwF1hro92OQUSkXYXHQuo0t6MQEZFuSkmLS4wxvYBhQFhtmbV2gXsRiYiIiIj4JyUtLjDGXAf8EOgPrACmA18CJ7oYloiIiIiIX1JHfHf8EJgC7LDWngBMBLLdDUlERERExD8paXFHmbW2DMAYE2qt3QCMcDkmERERERG/pOZh7sgyxsQB84EPjDGHgD2uRiQiIiIi4qeUtLjAWnue5887jTGfALHAuy6GJCIiIiLit5S0dDJjTACwylo7FsBa+5nLIYmIiIiI+DX1aelk1toaYKUxZkBrljPGnGaM2WiM2WKMub2JeY43xqwwxqw1xigZEhEREZFuQTUt7ugDrDXGLAaKawuttWf7mtkYEwj8EzgFyAKWGGPesNau85onDvgXcJq1dqcxJrkD4xcRERER6TRKWtzxu1bOPxXYYq3dBmCMeQE4B1jnNc9lwKvW2p0A1toD7RGoiIiIiIjblLS44Ej9WIwxX1prZ3gV9QN2eb3OAqY1WGw4EGyM+RSIBv5mrX26ifXfANwAMGBAq1qpiYiIiIh0OvVp8U9hDV4bH/PYBq+DgMnAmcAc4DfGmOG+Vm6tfcRam2GtzUhKSjrqYEVEREREOpJqWvxTw4QkC0j1et2fxs91yQIOWmuLgWJjzAJgArCpw6IUEREREekEqmnpGpYAw4wxg4wxIcAlwBsN5nkdONYYE2SMicBpPra+k+MUEREREWl3qmnxT/Wag1lrq4wxtwDvAYHA49batcaYmzzTH7LWrjfGvAusAmqAx6y1azo7cBERERGR9masbdgSSdxmjBnbWQlHRkaGXbp0aWdsSkREROSoGGOWWWsz3I5DOp+ah7nAGHO+MWazMSbfGFNgjCk0xhTUTlcNiYiIiIjIYWoe5o57gbOstepzIiIiIiJyBKppccd+JSwiIiIiIi2jmhZ3LDXGvAjMB8prC621r7oWkYiIiIiIn1LS4o4YoAQ41avMAkpaREREREQaUNLiAmvt1W7HICIiIiLSVShpcYExJgy4FhgDhNWWW2uvcS0oERERERE/pY747ngG6A3MAT4D+gOFrkYkIiIiIuKnlLS4Y6i19jdAsbX2KeBMYJzLMYmIiIiI+CUlLe6o9PyfZ4wZC8QCae6FIyIiIiLiv9SnxR2PGGN6Ab8B3gCigN+6G5KIiIiIiH9S0uICa+1jnj8/Awa7GYuIiIiIiL9T8zAXGGNSjDH/Mca843k92hhzrdtxiYiIiIj4IyUt7ngSeA/o63m9CfiRW8GIiIiIiPgzJS3uSLTWvgTUAFhrq4Bqd0MSEREREfFPSlrcUWyMSQAsgDFmOpDvbkgiIiIiIv5JHfHd8WOcUcOGGGO+AJKAC90NSURERETEPylpcYG19htjzGxgBGCAjdbayiMsJiIiIiLSIylpcYExJhA4A+eBkkHAqcYYrLX/52pgIiIiIiJ+SEmLO94EyoDVeDrji4iIiIiIb0pa3NHfWjve7SBERERERLoCjR7mjneMMae6HYSIiIiISFegmhZ3fAW8ZowJACpxOuNba22Mu2GJiIiIiPgfJS3uuB+YAay21lq3gxERERER8WdqHuaOzcAaJSwiIiIiIkemmhZ37AU+Nca8A5TXFmrIYxERERGRxpS0uGO751+I55+IiIiIiDRBSYsLrLW/a266MeZBa+33OyseERERERF/pj4t/mmW2wGIiIiIiPgLJS0iIiIiIuLXlLSIiIiIiIhfU9Lin4zbAYiIiIiI+AslLf7pb24HICIiIiLiL5S0uMAY84ExJs7rdS9jzHu1r621T7oRl4iIiIiIP1LS4o5Ea21e7Qtr7SEg2b1wRERERET8l5IWd9QYYwbUvjDGDASsi/GIiIiIiPgtPVzSHb8CPjfGfOZ5fRxwg4vxiIiIiIj4LSUtLrDWvmuMmQRMxxkp7FZr7UGXwxIRERER8UtKWjqRMWaktXaDJ2EB2OP5f4AxZoC19hu3YhMR8SWvtIKtB4qpqKpmcFIUKTFhbockIiI9kJKWzvVjnGZg9/uYZoETOzccEZGm7ckr5Y7X1/DB+gMApCVE8Mh3MhjeO9rlyEREpKdR0tKJrLU3eP4/we1YRESOZPH23LqEBSAzp4Snvszkd2ePIShQ47iIiEjnUdLiEmPMTCANr31grX3atYBERBpYuye/UdmirTkUV1QRGx7iQkQiItJTKWlxgTHmGWAIsAKo9hRbQEmLiPiNiQN6AdvrlZ00Mpno0GB3AhIRkR5LSYs7MoDR1lo9m0W6vaLyKtbtyWdXbgm9Y8MZ3TeGXhG6S98VZAzsxaVTU5m3eBcAE1PjuGzaAAICjMuRiYhIT6OkxR1rgN7AXrcDEelIVdU1zPt6J/f8b31d2VUzBnLbnJFEhen04++SY8L4zbdG853paVRUV5OWEEmcEk4REXGBrhrckQisM8YsBsprC621Z7sXkkj7236wmHvf21Cv7Kkvd3DexH6kD+jlUlTSGhEhQYzuG+N2GCIi0sMpaXHHnW4HINIZisurqKxu3AqyoKzKhWhERESkq9KYlS6w1n4GbACiPf/We8pEupX+vSJIS4yoVxYTFsTAhIgmlhARERFpTEmLC4wxFwGLgW8DFwFfG2MudDcqkfaXGB3Kvy6bxIzB8QCM6RvDE1dPYWBCpMuRiYiISFei5mHu+BUwxVp7AMAYkwR8CLzialQiHWB031gevTKD3OJKYsODiFVHbhEREWklJS3uCKhNWDxyUK2XdGNRYcFEhenZHiIiItI2Slrc8a4x5j1gnuf1xcA7LsYjIiIiIuK3lLS4wFp7mzHmAmAWYIBHrLWvuRyWiIiIiIhfUtLiEmvtf40xH+DZB8aYeGttrsthiYhIV1K4D7YvgC0fQr/JMPQUSBjsdlQiIu1OSYsLjDE3AncBpUANTm2LBfRLIyIiLVNVBgvugyWPOq9XvQh90uGylyA6xdXQRETam5IWd/wUGGOtPeh2ICIi0kXlboel/6lftncFZK9X0iIi3Y5GrHLHVqDE7SBERKQLszXOv4Zqqjs/FhGRDqaaFnf8AlhkjPkaKK8ttNb+wL2QRESkS+mVBqPPhXXzD5fFDYSkES4FJCLScZS0uONh4GNgNU6fFhERkdYJiYRT7nY64K99DdJmQfrlENvf7chERNqdkhZ3VFlrf+x2ECIi0sX1GgCzfgDTboTAEDDG7YhERDqE+rS44xNjzA3GmD7GmPjaf24HJSIiXVRQqBIWEenWVNPijss8///Cq0xDHouISM9SVgA5W52EK34IhEW7HZGI+CklLZ3MGBMA3G6tfdHtWERERFxzaAf87zbY/J7zeuRZcNofIG6Au3GJiF9S87BOZq2tAb7ndhwiIiKu2vDW4YQFYMObsPlD9+IREb+mpMUdHxhjfmqMSVWfFhER6XGshQ3/a1zuncSIiHhR8zB3XOP537vGRX1aRESkZzAGhpwAOz6vXz7oOHfiERG/p6TFBdbaQW7HICIi4qrR58L6N2HvCud1/6kw4nQ3IxIRP6akxSXGmLHAaCCstsxa+7R7EYmIiHSixKFw+ctwcLNT85I4HCIT3Y5KRPyUkhYXGGPuAI7HSVr+B5wOfA4oaRERkZ4jKtn5JyJyBOqI744LgZOAfdbaq4EJQKi7IYmIiIiI+CfVtLij1FpbY4ypMsbEAAdQJ3wROYKaGsuuQyVU11j69QonNCjQ7ZBEREQ6hZIWdyw1xsQBjwLLgCJgsasRiYhfyyup4IUlu/jrh5uoqKrh/En9+eFJw0iNj3A7NBERkQ6npMUF1trvev58yBjzLhBjrV3lZkwi4t+W7TjEn97ZUPf6lWVZDIiP4AcnDXMxKukuDhSUUV1j6R0bhjHG7XBERBpRnxaXGGP6GWNmAgOAOGOMBqcXkSZ9vT2nUdn85bspKK10IRrpLgpKK3j+6x2c/reFnPrAAv792VYOFpa7HZaISCOqaXGBMebPwMXAOqDaU2yBBa4FJSJ+bXBiVKOyMX1jCA9WvxZpu6+35/LL19bUvb733Y0kRIZw8ZQBLkYlItKYkhZ3nAuMsNbqdpaItMiMIQmM6h3D+n0FAMSEB3HDcYMJDlKFubTd++v2Nyqbt3gX503sR4gGehARP6KkxR3bgGBASYuItMjAhEieuDqDDXsLKa+qYXjvKAb5qH0RaY20hMhGZUOTowgKUDIsIv5FSUsnMsY8iNMMrARYYYz5CK/ExVr7A7diExH/1zs2nN6x4W6HId3IyaOSefzz7eQUVwAQGRLId6YPJCBAnfFFxL8oaelcSz3/LwPecDMQERGREb1jePmmGazdU0B1jWVUnxhG9I52OywRkUaUtHQia+1TLZnPGPNfa+0FHR2PiIjI4KQoBiepqaGI+Dc1WvVPg90OQERERETEXyhp8U/W7QBERERERPyFkhYREREREfFrSlr8k4ZtERERERHxUNLiEmNMuDFmRBOTf96pwYiIiIiI+DElLS4wxpwFrADe9bxON8bUDYFsrX3fpdBERERERPyOkhZ33AlMBfIArLUrgDTXohERERER8WNKWtxRZa3NdzsIEREREZGuQA+XdMcaY8xlQKAxZhjwA2CRyzGJiIiIiPgl1bS44/vAGKAcmAcUAD9qbgFjzGnGmI3GmC3GmNubmW+KMabaGHNhewbc05RXVbM3r5Siskq3QxERERHp8VTT4gJrbQnwK+BXxphAINJaW9bU/J55/gmcAmQBS4wxb1hr1/mY78/Aex0WfA+w9UARD368mffW7mdUn2h+ecYoMtLi3Q5LREREpMdSTYsLjDHPG2NijDGRwFpgozHmtmYWmQpssdZus9ZWAC8A5/iY7/vAf4ED7R50D1FUVsmvXlvN/BV7KK2s5pudeVz5+GK2Zhe5HZqIiIhIj6WkxR2jrbUFwLnA/4ABwHeamb8fsMvrdZanrI4xph9wHvBQu0baw2TllfLV9tx6ZSUV1WzLLnYpIhERERFR0uKOYGNMME7S8rq1thKwzcxvfJQ1nP+vwM+ttdVH2rgx5gZjzFJjzNLs7OwWhtwzhAcHEh4c2Kg8KrRxmYiIiIh0DiUt7ngIyAQigQXGmIE4nfGbkgWker3uD+xpME8G8IIxJhO4EPiXMeZcXyuz1j5irc2w1mYkJSW16Q10VwPiI7j99BH1yk4elcyI3jEuRSQ93f6CMj7esJ/5y3ezenc+VdU1jeaprK4ht7jC57TuIL+0goWbsnl04VbeXbOXfflNdgEUEZFuSh3xO5kxJgDYb63t51W2EzihmcWWAMOMMYOA3cAlwGXeM1hrB3mt70ngLWvt/PaLvGcwxnDB5FSGp0Sz/WAxydFhjOsfS3xkiNuhSQ+0L7+MW19czpfbnCaLgQGGx67K4IQRyXXzbNxXyH8+38YXW3I4YWQSc2emMTQ52q2Q2111jeW5r3Zy73sb68pOGJHE/Rel63spItKDqKalk1lra4BbGpRZa21VM8tUeZZ5D1gPvGStXWuMuckYc1OHBtwDRYUGMWNIIpdNG8jJo1NIiQlzOyTpodbuya9LWMC5gP/t62vILSoHnFqYG55ewktLs9idV8qzX+3kB/NWkOOZ3h3syCnmrx9urlf2ycZsNu0rdCkiERFxg2pa3PGBMeanwItAXQ9va21uUwtYa/+H02nfu8xnp3tr7dz2CVNE3JRX0vg5QXvyyiiprCYe2H6wmB25pfWmr9tbwI6cEhKiQjspyo5VXlVDhY9mbyUVTd7nERGRbkhJizuu8fz/Pa8yCwx2IRYR8VNDkqMwBqzXsBtnj+9DUrSTkIQG+a4sDw3uPpXo/XuFM2NwfL0ap5jwIIYkR7kYldRTXQl7V8DeVRAaA/0mQcIQt6MSkW5GSYsLvPufiIg0ZXSfGB66YjJ3vL6WA4VlfGt8X35w8nBCg5zR7IYmR3HW+D68uWpv3TKXTU1lUGKkWyG3u+iwYO45bxyPLtzGe2v3M65fLD8+dTgDE7rPe+zyti+E5y4A66kRixsI33kVEoa6G5eIdCvG2uZG2pWOYIyJAH4MDLDW3mCMGQaMsNa+1dmxZGRk2KVLl3b2ZkWkFbILyyipqKZ3bFhdwlJrf34pS3fmsWFvAWP6xjB5YC+SortfP6zK6hoOFVcQHRZMeIiGIPcbZYXw9FmwZ3n98vMeggmXuhOTdGvGmGXW2gy345DOp5oWdzwBLANmel5nAS8DnZ60iIj/ay4JSYkN58xx4Zw5rk8nRtT5ggMDSNagGP6nqhQK9zUuL2myi6aISJt0n4bPXcsQa+29QCWAtbYU3w+QFBER8V9RyTDluvplxkC/ye7EIyLdlmpa3FFhjAnH81R7Y8wQoPuMUSoiIj1H+mVQUw1LHoGIJDj5Tug7ye2oRKSbUdLijjuBd4FUY8xzwCxgrpsBibTWgYIy1u8toLC8iqFJUYzoHY0xqjAU6XFi+sLsn8HkuRAUCuFxbkckIt2QkhYXWGvfN8YsA6bjNAv7obX2oMthibTYvvwyfvLSCr7YmgNAcKDhqWumMnNIosuRiYgrjIHoFLejEJFuTH1aXGCMeQM4FfjUWvuWEhbxBztzS3h/7T7eW7uPHTnFzc67endeXcICUFltuevNdeSXVHR0mCIiItIDqabFHfcDFwN/MsYsBl4E3rLWlrkblvRUm/YXcuXjX7Mv3+lalRgVwrPXTmNknxif8x8qbvyk9u0HiymqqCY2okNDFRERkR5INS0usNZ+Zq39LjAYeAS4CDjgblTSk/1v9d66hAXgYFEFry3f3eT8g5MaP9jvrAl9SYoK6ZD4REREpGdT0uISz+hhFwA3AVOAp9yNSHqyNbvzG5WtzMprcv6x/WL568Xp9IoIxhiYMzqF750whJAgPfRPRERE2p+ah7nAGPMiMA1nBLF/4vRtqXE3KunJzhzXhw/X16/sO39i/ybnDwsO5NyJ/Zg2KJ7Symr6xIbrKeXS42QdKmFvfim9IkIYlBhFYIBGzxMR6ShKWtzxBHCZtbba7UBEAI4dlsQPThrGw59txVq49tg0Zo9IOuJyfeLCOyE6Ef+zeHsONz37DbnFFYQEBnDn2aO5YFJ/QoOVvIuIdARjrXU7hh7JGDMTSMMrcbTWPt3ZcWRkZNilS5d29mbFD1XXWLIOlQDQLy6coEC1HpXu61BJBQWllSREhhAVFtyqZQ8UlnHePxexO6+0rswYeON7xzCuf2x7hyoiXowxy6y1GW7HIZ1PNS0uMMY8AwwBVgC1tS0W6PSkRaRWYIBhYELjDvYi3c2S7bn8av5qNu0vYmpaPHeePZrRfVuebBwsrKiXsABYC3vySpW0iIh0ECUt7sgARltVc4mIdKrMg8Vc/eQSisqrAFicmcv35y3npRtnkBAV2qJ1JESGkBITyv6C8nrlvWPD2j1eERFxqP2HO9YAvd0OQkSkp9mRU1yXsNTaml1M1qHSJpZoLCU2jPsvSicq1LnvF2Dg12eOYnhKVLvGKiIih6mmxR2JwDrPgyXrbtVZa892LyQRke4vNrxx/5XQoACiwlr3c3jM0ETe+sEx7M4tIT4qlMGJkeqELyLSgZS0uONOtwMQEemJhiZHM3dmGk8uyqwr+8XpI0lrQ3+utITINi0nIiKtp6TFBdbaz9yOQUSkJ4oKC+JHJw/jlNEpHCgoIzU+glF9YvSMFRERP6ekpRMZYz631h5jjCnEGS2sbhJgrbUxLoUmItJjxEWEMGtootthiIhIKyhp6UTW2mM8/0e7HYuIiIiISFehpEWkm7DWsjIrn/fW7KO0oprTxvVm0oA4QoLUOVikQxUdgK0fw4p50HscTLjY+V9ERNqNkhaRbmJVVj4XPfQlFdU1ADz1VSbPXDOVY4YluRyZtEV2YRklFdWkxIQSFqxTtd+qqYFlT8In9zivt38KK5+Daz6AxKFuRiYi0q3oOS0i3cR7a/fVJSzgPKH70YXbqKyqaWYp8TeV1TV8uG4/Z//jC46/71NufXEl27KL3A5LmlKwGz7/v/plJbmwf4078YiIdFO6fSfSTZRVVjcqK62owdYb80H83fq9BdzwzFJqPLvtnTX7MAYeuChdzwHxWz5GHjMajUxEpD2ppkWkm5gztnej66Trjh2kPi1dzLbsorqEpdY7a/axr6DMnYCkebH94bjb6pdFJkLKWHfiERHpplTTItJNTEztxXPXTuOxz7dRUlHNNccMYuYQDeva1cSGhzQq6x0TRmSITtd+yRiYdCXEDYDVrzjJytjzIGGI25GJiHQr+hUU6SZCggKYOTSRqYPisUBwoCpSu6IxfWM4blgiCzYfBCDAwN3njCUxOtTlyKRJkYkw7kLnn4iIdAglLSLdTJCSlS4tOSaM+749gbV7CsgvrWBwUhSj+nTR587WVENxNoREQmjXfDxVTY1lS3YRO3JKiIsIZkRKFDE+asNERKRjKWkREfEzyTFhJMeEuR3G0cndDl8/BKtehPghcMpdMHBml+ug/vmWg1z31NK6kfmumDaAn84ZQVyEEhcRkc6kW7IiItK+qsrh0z86SUvpIdi9FJ49Dw6sdzuyVjlQWMbt/11VbyjxZ7/eyfq9BS5GJSLSMylpERE5CuWV1WzeX8jWA0V6Jk6t/N2w+uX6ZVXlkN21kpbC0ir25Dcete1gUYUL0YiI9GxqHiYi0ka7D5XwwIeb+e83WQQaw9WzBnHDcYNIiu7iTbuOVlAohMU6tSzeQrpWv5ak6FAmDYjjm5159coHxke4E5CISA+mmhYRkTZ6Z80+XlmWhbVQVWN5dOE2vtqW43ZY7ovtB3P+UL+sXwb09v3skuLyKpbvPMR7a/axZnc+FVWNH5TqhpjwYH5/3jhG9XGSrejQIB64aAIjenet5EtEpDtQTYuISBtUVFXzxso9jco/3pDNWRP6uRCRnxl9jvPskv1rISoF+k2GmL6NZiurrOLJRZn85b2NgNNP/y8XTuCCSf0wftBpf3SfGJ6/fjp780qJDgsmVbUsIiKuUNIiItIGwYEBTB7Yi1VZ+fXKx/WLdSmixqy1bNpfyNYDxUSGBjKqbwzJndV0LSQS0o5x/jVjy4Fi7nt/Y91ra+E389cwaUAcg5OiOjrKFukVEUIvjRYmIuIqJS0iIm1gjOHijFTeWbOXffnlAIxIieKEkckuR3bY4u25XPn4Yso9AwRMGxTPAxen0zcu3OXIDsspKsfa+mWlldXkl1a6E5D4heoay7q9BWzZX0hMeDCj+8bQJ9Z/jlsR6XxKWkRE2mhknxheuWkmm/cXEhAQwIiUKHr7yYVVYWklf/jf+rqEBeDr7bmszsrzq6Slf68IwoIDKKs8HGdKTCh94nr4YAY93OdbDnLNk0uornEy2oyBcTx46ST6+NGxKyKdS0mLiMhR6N8rgv69/K+fQ1FFFVuzixuV+9twvYOTInn4isn89JVVZBeWMyA+nAcunkjvmO5xcbpxXwHLd+ZRVWNJT41jTN8Yd/vq1NRA1hJY9QJUlED6ZZA6FYL95/M+VFzBXW+urUtYAJbuyGPNngIlLSI9mJIWEZFuKDEqlG+N78MLS3bVKx+a0rZ+ItsOFrFpXyEhQQGM7B3TbrU1xhhmj0jmzVtmcaikgqSoMBKjQwHYdaiEJdtz2XqgiIkDe5ExsFeXehL92j35XPLwVxSWVwEQGhTACzdMZ+KAXu4FtXsZPHkG1DgxseoFuOK/MPRk92JqoKSiiqxDpY3K80r8K+EWkc6lpEVEpBsKDgzgxtlDyC+t5N21+4gJC+bXZ45q00ABq7PyuPw/X1NQ6lzoDk+J4pHvZJCWGNlu8faODa/XtC67sIwfvbCcZTvy6sp+fMowvnfCMAID3B9VrCXeW7OvLmEBKK+q4alFmUzoH0eAW+9hw1uHE5Zai/4Bg46DQP9ICJOjwzh3Yl9eXJJVV2YMDE32j4EZRMQdSlpERFxQWlnFNzvyeHPlHmLDgzljXB/G949t16ZDgxIj+b+L0rktv5Sw4MA21Y5UVtXw2Ofb6xIWgE37i1i09WC7Ji0NbdxXVC9hAfjHx1v51vi+fjOq2JHsLShrVLY7r5QaawnApaTF+ngGTsMkxmXBQQHcPHsoFVU1vL5iD0nRodx59hjG9I1xOzQRcZGSFhHxe5XVNWw/WExucTl9YsMZmNBxF8ud5cutuVzz5JK6108uyuTlm2Ywvn9cu24nPCTwqC7yyyqrWbunoFG5r/4y7ancxwMmK6prqKy2PuZuRmUZ5GyGklznuTHxg9opwiM7c1wfXl6aVa/siukDCQp08bnOI78FX/4T7OGBD5hxi9/UstRKS4zkTxeM59ZTRhAeHEBSZw3VLSJ+S0mLiPi18spq/vtNFne8sZbKakt0aBD/vmIyxwxLdDu0NiutqOZfn2ypV1ZeVcPCzQfbPWk5WtHhwZw/sR/3vrexXvmMwQkdut2hyVH0igjmUMnhoY/njE4hNb4VtUXlRbD4Ufj4LuciPSwWLpkHabM6IOLGMtLi+fsl6fzfB5uorLZ874QhzB6e1CnbblK/DJj7Niz5D1QUwZTrnAd/FuyFiHgICnU3Pi+hQYEM0MM8RcRDSYuI+LUtB4r41fw1dc/yKCyv4taXVvDGLbO6xHMbduYUszW7mPDgQIb3jiY+MgSLpcJXTYLX8MRHtc3cEhZsyuabHYc4ZlgiM4ck0ju2+TvVxeVVbNpfyP6CMvr3imBYchShwYEAnJPel525Jby8LIuQwAB+ePIwMtJ6sSorjy+25BBgYOaQBMb2a7/mbQMTInnm2mk89NlWVmbl8a3xfbkkI5WIkFb8bO1fCx/defh1WT7M/y5c9wFEdfzzdKJCgzg7vR/HDU+ipsYSH+UHCUFgEAyc6fyzFvatgtdugl1fw+ATYPbPIWWU21GKiDSipEVE/Nqe/NJGDx/MLiznYFGF3yctq7PyufLxr+tqC44fnsQfzx9Hn7hwbpw9hO89v7xu3sAAw+zhR197lFNUzo9fWsHSzEMAvLp8NxdO7s9d54xp8oK/rLKKJxdl8hdPbYoxcO8F47lgUn8CAgz9ekXwu3PGcONxgwkMMKTGR7B8Zx6XPPIVFdVOotURI2ON7RfL/100geKKauLCg1ufEBXuaVyWlwklOZ2StNTy2xHP8nfDc9+Gov3O63WvQfYGmPsWRHbdmkwR6Z5cbFgrInJkfWPDaXitmhQdSmKUn14IepRVVvH3jzbXa9706aZsvtmVB8Ds4Uk8/J3JzBySwBljezPv+mlMSD36C/4tB4rqEpZaryzLIvNg031Qthwo5r73Dzf/shZ+8/oaMnMOLxMaFMigpCgGJERijOGFJTvrEhZwmre9tnz3UcffUEhQIL0iQtpWgxOb2rgsYZguyGvlbj2csNTKXg+5292JR0SkGUpaRMSvDU2O4p5zxxIc6Fy0xoQF8cBF6X5fy1JYVs2KrLxG5bXJQ1RYMHPG9Obpa6byj8smMXVQQrsM5ev9QD5vNQ2rq7zkFlc0qs0qq6whzyvhaijHx0MqfZW5Knk0nH4vBAY7r6OSKTnj72wsDKW80scoWj1NiI8BLUwAhKgfiYj4HzUPExG/FhocyEUZqUxJiyenuJy+seEM6AKjh/WKCOa0MSk889XOeuUNh231HkmqtKKaquoaosOD27zdIclRDEmKrDe61/HDk0hr5jPr3yuc8OBASr0u5JOjQ+kb13Q/mEunDuCjDQfqlV04uX+b4+4QIRGQcS0Mmk1pQTafHYjgp08fpLhiIZdNHcAPThpGSkzbR6Uqqahi64FiCssqGZAQQf9eXexiP3EEpF8OK547XDbrh5Aw1L2YRESaYGwzd9+k+8vIyLBLly51OwyRbmlbdhG/nr+GRVtzCAkM4JYTh3DljLRGfRyqqmtYkpnLgx9v4UBhOVfPSmPOmN4ktrHj9pb9hbz8TRaLtuRw2tjefGt8n2aHibbWsnDzQX768koOFJYzID6cBy5OZ/LA+CaXKSqrYsHmbP75yRYMcMuJQzl2WBKRof55L+zBjzZz/web6pX99eJ0zp3Yr03ryyup4J+fbOHRhU5TqoTIEB6fm9EuTfw6VdEB2PMN5GZC4lDoO8kZRUzETxljlllrM9yOQzqfkpYeTkmLSMcqLKtkV24JoUGBDEyI8PmMjuU7D3HhQ1/Wa9p159ljmDszrc3btdZSUVVTNwJYS+zPLyO3pILk6FASWpgwFZdXAsZvkxVwnjVzwb8XNXrezEUZ/bn3wgltWucXWw5y+WNf1yubNCCOp66eelQ1ZSLSPCUtPZf6tIiIdKDosGBG941lSHJUkw8VXL4zr1FflEcXbCO3uLzN2zXGtCphAUiJDWNUn5gWJywAkaHBfp2wgDOy2XQfz5WZcBTPxNmbX9qobPmuPPJKm+4HJCIibaekRUTEZeEhjU/FMWFBBAfoFN0ejDFcPCWVAV4PpswYGMexR/Ggx35xjQeCmDYonl4RqmUREekI/n17TESkB8gYGE98ZAi5xYdH3/rJnBFqZtSOhqdE8+INM9iaXURQYADDkqNaVaPU0Ji+sfz4lOH87aPNVNdY+sWF8+szRxMV1g33WUUJ5GyGyhKIHwxRKW5HJCI9kPq09HDq0yLiHzbtK2TRtoPkFlUwa2gi6alxrW7eJZ2roqqabQeLKSqrYkB8BMlHMRJZQztyilm0NYet2UVMH5RARlovdx5SWZQNn/0ZljzqvI4fAhc/CymjOz8WEdSnpSdT0tLDKWkREfEve/NKufrJxWzYV1RXdvvpI7nh2MEEtMOzfFpl4zsw75L6ZWPOh/MegqC211SJtJWSlp5LDaZFRET8yIZ9hfUSFoC/friJrEMlnR/MwU2Ny7Z/BqWHOj8WEenR1KdFRESknRwoLGPTviIqq2sYlhLVpgdOVlTXNC6rqqGqxoWWEYnDG5elHQvhXex5NCLS5SlpERERaQc7c0q4Zd43rMrKByApOpSnr5nKqD4xrVrP8OQoYsKDKCitqiu7YFJ/+vVqPGJZh+s3GSZfDcuecF7HpcFxP1PTMBHpdEpaRESAyuoaduWWYC2kxocTEqRO8OJbRXU1WBodI19sOViXsABkF5bz9JeZ/P7ccQS2oi/KoKQonrt2Go8u3M7aPfmcO7Ef507sR6gbx2RUMsz5PUy+yjN62BCI7t35cYhIj6ekRUR6lKrqGjbuLyTzYDHxkSGM6hNDZXUNjy3czn8+344FLp6Syi0nDKWvj2dxSNdmrcWYtnVmL6+sZnFmLg8v2EZ5ZTXXHTuYWUMTifI8XHP93oJGyyzbcYiyyioiQ1s3FPK4/nHc/+0JlFRWE+v20NchUdB3orsxiEiPp6RFRHqUTzdmc+Ozy+qeQH/JlFSmDorn4QXb6uZ5/uudjOoTzXemp7kUpbSnquoavtmZx3Nf76CorIorpg9k2uB4IkJa9xP4zc48vvOfxXWvl2Qu45ErJ3PqaKfmYcaQBJ7+ake9Zc4a37fVCUut4KAAYoO61ng5FVU1rN2Tz6Z9hUSHBzO+f2yb+vWIiDSkpEVEeox9BaX84rXVdQkLwKqsfPJLKhvNO3/5Hi6bMoDAwPa7aNx9qIRF23JYtSuPjLR4pg2Kp3esanO85ZdWEhEcSHA7XqyvzMrn0ke/qtvvH204wH+uyuCkUa17SOLbq/Y0Knvyi0xOHJFMUGAAUwbFc9PswTy2cDtVNZbTx/bmnIn92uU9dBWfb8nm2qeWUvs0hZG9o3j0qimkKnERkaOkpEVEeozC0iqyC8vrle0vKOPUMSm8s3ZfvfJJA3q1a8KSV1LBr15bw6ebsgF45qudfHtyf353zphW3/HvjrJyS3htxW7mL9/NccOT+Pbk/ozuG9su6/5w3f56iSrAw59t49hhia3quxQR2ng/RYQE1TU3S4wK5SenjuDbk1OpqqlhQHwk4SE9p2/UoeIK7n5rHd6Pf9uwr4jVWflKWkTkqHWtemcRkaPQOyaMjLT6Q7UeKqnguGGJpCUcvqhKiQnlwsnte4d8y4GiuoSl1svLsth+sLhdt9MVlVdV8/ePN/Pumn1clJFKTlEFz329k8Xbc9pl/QE+fumCAlvfr+WMsX0I8UpkAwxce0xavU72wYEBDEmOYkTvmB6VsACUVVazv6C8UXlRWZWPuUVEWke390TEb1RUVxMS2HEXetHhwdxz7lh++eoalu08REJkCPecN5Zx/eN4/vrpbNxXSI21DE+JJjW+fe8MV1b7fsZGlY9ncvQ0uw+V8saKPfzolOH88Z0NdeWvfrObV26ewZijrHE5ZXQKjyzYVm8f3HDc4FaPEDchNZaXb5rBh+v3U15Vw6mjU5iQGndUsXUnyTFhXDIllce/yKwrCzAwLCXKvaBEpNtQ0iIirss8WMwbK3fz0foDnDgymbPT+zEoMbJDtjWidwxPXj2FfQVlRIUF0cfTp6RvXHiHjhY2JCmSIUmRbM0+XLMyJa0XaQlte585ReXsyCkhLDiQwUkRhAV33dN5UIDh+BFJ/G/13nrlpZXVLNp6sM1JS2FpJWEhgYzvF8eLN8zgteVZFJZVceHk/mSkxbd6fcYYJqTGNZuoVFXXEGAMAa0Y4ri97C8oY92eAorKqxiaHMXI3tFtHimtLQIDDFfPGkSAMbywZBcpMaH8+szRjO3XPs38RKRnM9a68IRd8RsZGRl26dKlbochPdihkgque3IJy3bm1ZWlp8bx+NwpxEeGuBdYB9i8v5B5i3fx+ZZsThndmwsn9WNQUuvvQm/eX8gPXljO+r2FGANXzhjI908cRmJU13zgn7WWt1bt5Z+fbGHDvsJ603566nBuOXFYq9a3K7eE15bv5vUVe0hPjeWaWYMY08EXzkXlVXy59SBPLcokOiyYuTPTmDywF0Ht2C+qOXvySvnBvOUs3XEIgJDAAJ66ZgozhiR2yva9VddYDhSUER4SSFxE9/oOi/uMMcustRluxyGdr+vemhORbmF7dnG9hAVgxa48tmUXER/Z+rvhHS2nqJz9BeXEhge3+gnlw1Ki+fWZoyitHE5ESGCb7oLXPlNm/V7n4t5aeGrRDo4ZmsQpo1s3Gpa/MMZw7LBECssr+eWra+rKAwMMs4a27qK7rLKK+97fyOsrnJG+tmYX8fGGA8z/3iwGtrJWK/NgMV9ty2HXoVKmDYpn0oA4osJ8D1/8xZZsbnzmm7rX763dx0s3zmhTjU5brMrKq0tYACqqa7jn7fU8f/10Yjr5OS+BAYY+esaRiLQzJS0i4ipfnaSBVj1BvLOszsrjRy+uYGt2MXERwfzp/PGcPCq5VXfTAwIMkT5GoWqp/NJKPtl4oFH5hr0FbUpasg6V8NW2HFZn5TN5YDzTBseTEhPW5viOqLoKjIGA+v1J4iJC+Na4PsSGBfPEF5kkRIZwzTGDGN8/rlWr35Vbyhsr6w9NfKikks0HilqVtOw+VMq1Ty5hq2eghH9+AvecN5bLpw1sNG9ZZTWPLNher6zGwqcbD5CREgiluRAeD+EdV9uTW1zRqCwzp4Ti8qpOT1pERDqCRg8TEVcNTozipJHJ9cpOGJHE4DY0m+pIOUXldQkLQF5JJd97/hs2Hyjq1DhiwoKYPiShUfnQ5NZ/XodKKvjFf1fx05dX8dSXO/jBC8v564ebKK3ogNGeyotgw//g2fPhxStg+0Koqn+hHRMewpnj+/L89dP45+WTmDY4odXJa1BgAME+MuGQVjbTWrsnvy5hqfXndzewN6+00bwGCG4wGllESCCX9c+BZ86Dv6c773v3N42WbS/DkqMblZ2T3pek6K7ZZFBEpCElLSLiqpjwYH53zhj+eN44zprQhz+cN5a7zxlLbCvuDltrKaus7sAonU7O3p3owWm7vyu3pEO321BIUCDfnT2E/l5N085N78ukgb2aWcq3LQeKWLil/rDCLyzZRWZOBwzDvP0zeOFS5/+N/4Onz4Ldy3zOGhIU2HTt1YENsP5N2PYZFGU3mjwgPoLvnjCkXtmYvjGM6N34or455VWNR3UrraimsqZxeWhwIDfNrr/Nn06LpO87c2GP5z3uXuq8//zdrYqjpcb1j+GvF6cTHxlCgIGzJ/Tl+mMHd1yfmuJsWPUSPHU2vHM77F3VMdsREfFQ8zARcV3/XhFcOm0Al04b0Opltxwo4pVlu/h8y0FOGZXCOen9SOuAkcdiw0OIiwgmr6SyXnliVOd3NB7ZJ4ZXbp7B9uwSwkMCGJIURXQTfS2aU+njwtzapodnbrOqCvjyn403tOFNGDij5evZscipsaj01HYMPw2+9TeI6V03S2CA4coZAxndN4avtuYyoncU0wcntLrJ2/CUaMKDAyn1SoYvmzqgbrS5hmYMTuD566fx5so9RIcF8+3B+2FJg2Z8hfvgUCbEtu8zgADCgoM4d2I/pg2Op7yyhj5xYYS2ckjnFrMWlj8HH97hvN7+GaycB9e+D0kjOmabItLjKWkRkS7rQGEZ331uGZv2O0201uwu4Ovtufz7ismtqqlpiX69wvnj+eO45fnldU9Xv2n2YIanxLTrdlqqd0w4vWOOrrPzkOQoBsaHsyP3cJOn6YPjW91h/cgMBPlIGgJb0XSpNB/evf1wwgKw6V3YuxxiTq83a3xkKKeO7s2po3vTViN6RzvN1D7ZwpYDRXx7cirnTuxHcBM1F6HBgcwcksjM2tG69nn67niP0GkCIKxjRzFrKqlqVwW7YeF99cvK8mDfmlYnLcXlVazfW0DWoVJ6x4Yxuk80MeEacUxEGlPSIiJd1rYDxXUJS61FW3PIPFjcIQ/9O2VUCm99/xh25ZaQEBXCiJQYosL85zRaXlXNLk8CkhoffsQ77SkxYTx61RSe+2oHi7bmcOqY3lw4uX+7J3wEBcPM78PWjw6XBYbAyDNbvo7yQsje0LjcRxOx9jJxQC/+efkkyiqqiW3t0L0Jw+DY22DBvYfLjvsZJAxt3yDdYIyTgPkqb4XK6hrmLd7J799eX1d243GD+eHJw4gI8Z/vlYj4B50VRKTLCgr0fZHUVPnRby+AUX1iGNXHndqV5uzPL+Ufn2zhua93AnD5tAF874Rh9I5tvlnU8JRofnvWGEorqogMDeq4hxEOnAVXvQVrX4OQSBh9DvSb3PLlo5Jg5Fmw5pX65YkdmwSEBgW2rZlVcBjMuAUGzYaCXRCbCinjnHIvh4orCAkKOKoR5TpdTD+Y/XN475eHyyLiofc45+/SPNi3Ggr3QtxA6D3W2ecNZB4s5s/v1k9EH16wjfH9Y8lI60XKUdYkikj30oXOkiIi9Q1JimLmkAQWbT3cmfy8iR3Tp8Xffbopm2e+2ln3+pmvdjKmbyyXTD1yP6HAANPk80faTVAIDDrW+dem5UOdC+Xig7D9UwiNhlN/D30mtGuYANmFZWzcV0hpZQ3DkqPqH0/ZG2HPcqipdrbde2zTKwqPhUHH+Jx0oLCMt1bu5YlF20mKCuXWU4YzfXBCk83P/M6ES53kZfXLTpOwMedD4jBnlLgF98GXDx6e9/R7Ycp1jYa5Liyr8tl/asO+QrYfLG71Q0VFpHtT0iIiXVavyBD+fMF4Fm4+yDc7DzFjcDwzhyYS2QOblry9am/jstV7W5S0uC5nm9M/ZccXMOwUGHoyxPZvPF/ScLj4WSjIguBw6JXW7qFk5ZbwwxeXs2xHHgAx4UE8d+00xvWPc/psPPUtKPU8xDE43Kk96t/6h3O/sWJPXbOoXbmlXPX4Yl65eSaTBtQfBa6gtJKyymqSokM7rhasLSLiYcy5zj9vBzfVT1gAPvgNDDnRSWq89O8VTt/YMPbkl9WVxYQFUVldw/Nf7+SiKakkR3fgM4NEpEvpIrd0RER8S42P4LJpA7jv2xO4YHJq53REbkZeSQXf7DjEsh2HOOTjgX8dZbKPIY8bXgD7paJsePV6eO8XsOEtePOH8MEdHDqUx568UqxtcCc+LBqSR3VIwgKwJDO3LmEBKCit4p+fbqW8qho2vH04YQFnUIDFj4KPYZCbk1tUzuOfN34Y5Yqdh7dbVV3Dgk3ZXPzIV5z2t4Xc//5Gdh9q/IwYv+P9+dSqKoey/EbFyTFhPPydyYzv7wxOMDQ5iltPGc68xbuIiwxu9bN13JJ1qIRt2UWUVXbA841EpE7Pux0pItJBduQU8/NXVvHV9lwApqT14i/fnkBau4/G1diZ4/vwyrIsdnkubFN7hXPW+D4dvt2jdnCT8wwTb2te4ZuES7nl4ypunD2Yy6YOILmFQxaXVlaxJquA9fsKSIwKZUL/WPr1imhxONsPNn5GzZrd+ZRWVBOat7PxArnbwFYBLe+oHxwYQFxkSL0aBoCosMPNp9bszmfuE4vxDFTHPz7ZSrW13HbqSAJa+cDNTtUrzWm6V15YvyzWd43fuP5x/PXidN5Zs5dN+4v40zsbKK+q4b5vjyeutYMfdLLi8ireWLGHP76znsLyKs4c14fb5ozogNH3RASUtIiItJsP1x+oS1gAlmQe4v21+7jhuCHNLNU+hiZH8+KNM9i037lYHJ4STd+4LtCR2fqupaiuqaG0spq/friZpOhQLp82sEWre3/tfn74woq61+P7x/LwFZPp08LPIt1H7dS3xvdxRlQbfTaseLb+xIxrnJHQWiE6PJjbTh3BNU8tqRsROSkqlEkD4uvm2bivsC5hqfXcVzu5ckYafWLD2ZtXysHicpKjw1r9DJoOlTAELn0J3vwB5GyGfhlw5v0QndzkIoOTojh9bB8So3IZkRJNRlovJvSPa3L+/NIK8kuriI8I7vi+WM1YlZXPL15bXff6rVV7SY4O5VdnjibQnxNLkS5KSYuISDtZsOlAo7JPN2Z3StIC0DcuvGskKt4Sh0PyGDiwtq6oeNAc3tgZBjgP8nxxyS4unNSf0ODmR/HaV1DKXW+uq1e2KiufdXsLWpy0TBoQx89OG8HfPtxMeVUNp43pzaVTBjj9SQbMgHP+BZ/cA9UVcOyPnT44bTBraAIv3ziDJZm5xEUEMyUtnqHJUXXTfQ2lnRgdSnhQIAs3Z/PjF1eSXVROcnQof7sknRm1z4fxB2kz4Zr3nKZiweHOKGL71znDPQf5TvAGJ0UxOCnK5zRv3+w4xG9eX8PaPQVMGxTPHWeNZnTfjn32TVPW7y1oVDZ/xR5umj2kxTWDItJySlpERNrJ8SOS+WzTwXplJ45s+g5zZ9qXX8rG/UVUV9cwLCWa1PiWN5nqUNEpcNFTsPq/sP0TCgedzsvF6bz1+eHmRcOSowhqQf+G8soa8kor6173iQ1jYp8wbCv6nMRFhHDTcUM4Y2wfKqtr6N8rgvAQT7IUFgMTL4fhpzr9WKJTWv4+GwgJCiQjLZ6MtHif08f1i2NIYiRbPc3VjIFfnj6KvNJKbnpmGcUV1QAcKCznpme/4a3vH+M/+xQgMgGKD8DzV8H+Nc7IYTN/BDNvcTrxt8HOnGKufnIJ+Z59/PX2XG5+7hteuWkGSS502E+Jafxw1KHJUT1yIBCRzqBvlohIOzl5VDKfbDjAgs1O4jJraMJRPZW9vWw/WMSNzyyrexBnckwoT1091X+eN5M4DE64HWb/jAMHS3josa/qJkWGBHLljLQWNbfpExvG+RP78fKyLO4/OZpTqhYQk/kelTuPg+QrW/y09oAA0/yw2ZFJLVrP0RiQEMETV09hZVY+eSUVjO4by7h+MSzdcaguYamVX1rJnvxS/0paqsqdoY/3r3Fe11TD5/c7tTBDT27TKrdkF9clLLV25JSQdajUlaQlPTWOSQPi+MYzgEJYcAA/mzOCSD964KxId6JvlohIO0mNj+TByyY5nbmtZVBSJLHh7ncm/mxjdl3CAnCgoJwXFu/kzrPH+NcwugEBDEmO4qUbZrB2bwHV1TWM7BPD8JToFi0eEhTILScO5YS0EE5d8zOCdiwAIHjfKmq2vAdXvUVAjPtJZEsNSIhkQINO3fGRIQQGGKq9OryEBAaQENnJx1l1JWQtgdWvgAmAcRc6/VcCPZcVpYdg60eNl8ve1KakpaSiyudofMGBhiiXHszZr1cE/75iMhv2FlBcUc3Q5KgWH6si0npKWkRE2lFseDDpqXFuh1HPmj2N295/szOP8qoawo7QT6S97cwt4Zsdh9ibX8aE/rFMSI1r9DT4tMTINj8gdGBCJMmFxXUJS62AnM2U7N1ARBdKWnwZnBjFHWeN5o431mKt02zsrnPGMCixfn+QvXml7MwtISY8mMGJkb77AxUdgII9EB7X+iGkd30NT511eCCFZY/DVW/DwBnO69BY6D8VNr9Xf7n4Vm7HY1t2MS8t3cW56f2Yv2J3XfkPTxpW71g5UFDGluwiAo1haHIUCVGNm3C1p5QYPxsIQaQbU9IiItLNHT88iVeWZdUrOye9b6cnLHsOlXLj00tZv+9wf5X7LhzPhRmp7bqd8hqDr2735TUGP2pA1SYhQQFclJHKxAFx7Msvo29sOEOTo+o1n1uVlcd1Ty3lQGE5AQa+f+Iwrj1mEDHhXiNt7V4Gr1wDhzIhNAa+9VcYdVaTHeUbWfpE/ZHfaqphxfOHk5aQcDjhV7B3uZMcAYy/GPpObtP7Lq2s5uvtuZw4MpmfnDqcssoawoMDmTEknmBPf6ctB4q4+dllbD7g1CpOGhDHAxenawhikW6iazy5SURE2mz64ARumj2Y4ECDMXDh5P6cNrbzaxzW7s2vl7AA3PO/9exr8LySo1UWM4jCkRfVKyvtN4uyuGFNLNG1hAUHMq5fHKeM7s2YfrH1alEKSyu54/W1HCgsB5yHVv7to82s8x7pqigbXr3BSVgAygvg1esge0PLg6jysc+qy+u/7jsBrvsYrnwdrv0AzvhLmwcvGBgfQVpCBB9vOMD972/in59s4cWlO+nv9Qye+ct31yUs4NQmfrIxu03bExH/o5qWLsIYcxrwNyAQeMxa+6cG0y8Hfu55WQTcbK1d2blRiog/SowO5SenjuCijFSqaywD4iOOOHxwRyht0IEcoLCsioqq1j1R3tuGvQVs3FdIcFAAY/rGMDAhkpSEXmyY9FNCkqaTeHAxh+LTKe47i2FJbbtgrqquYfvBYg6VVNAnNrztHd4rS6FwHwRHHNXIY805VFLB8l15jcr35JUeflG0H3K21J/B1kDeDugzvmUbmnItbHirfln6FY3ni0t1/h2NqgqSK7KYf2lfHvymgldX7GXG4AS+f9KwuqZZldU1fLHlYKNFl2bmMndm2tFtX0T8gpKWLsAYEwj8EzgFyAKWGGPesNZ6P5BgOzDbWnvIGHM68AgwrfOjFRF/FBwY0KLnYHSk4SnRhAYFUO6VpFw0JZU+sW3rE/DNjkNc9thXlFU66+sfF8ZT105jSFIUw4YMY1tMX9aXnEtsWBBDk6IICWp9olZeWc0ry7K48821VFZb4iKCefiKyUwbnNC6FeVsgQ/vgg1vQGQynHEfDD+t5c2xWiguIoT01DhWNEhc+sR6NZgLj4PIRChucJEf1YpEasAMuOJV+PohMIEw7UZIbcNPTlUZ5Gx1Erpeg5yhkr3lZ8GC+2H5U8QFBPOrY37MD793FaExSfUS7+DAAOaM7d0oYTtueMeP9CYinUPNw7qGqcAWa+02a20F8AJwjvcM1tpF1tpDnpdfAf07OUYRkWaN6B3Ns9dOY8bgeFJiQvneCUO4efYQgoNa/1NUXlXNQ59trUtYALLyyurutgcFBjC8dzTTBycwqm9sm2uWNu0v4lfz11BZ7YzWlVdSyY9fWsmBglY0aasqh0/+AOtfB2udmo6Xr4R9q4+8bCvFhAfzu7PHkBTtdEAPMPCDE4cypq/XqFax/eHsf0CgVx+X426D5FEt31BwOAw9CS59AS55HoacAMGt7PRenAMf3wMPHQOPnQTPnAMHGjRRW/e608m/phqqygj49A9E7vva5/48Y2wfTvJ6LtL5k/px7FA/euimiBwV1bR0Df2AXV6vs2i+FuVa4J0OjUhEurW8kgo27CukoLSStMRIhiVHHfXwyMYYpgyK5z9zp1BSUU1CZEir17kzt4TMg8UkRIawzfPgRW+7D5X6WKrtdueV+CgrJae4vN5Tz3fllrAjp5jY8GCGJEcR4f2AwcJ9sPa1+iuxFrKWwqHt0HcSJAxuc4zr9uSzenc+AcYw3jMi2+vfm8Wu3BKiw4IZnBTZeNCFYafCTYugJBuCwiFxOIS2oSYu4CiaGe5ZBov+fvj1vtXwxd/grL9DUDBUlsCqFxstVrH+PcoGnU6viPq1VAMSIvjbJelk5pQQYGBQYtThB4OKSJenpKVr8PWrbn2UYYw5ASdpOabJlRlzA3ADwIABA9ojPhHpRnKKyrnrrXW8vmIPAKFBATw+dwqzWnjXOre4go37Cigsq2JwUiRDk+s/uyIiJKj+Rb230nznQj4wxLmQDzqcGKzcdYi5TyzhUEklCZEhXDZtAA9+XL9vRktjbKl6zao8eseEER95uFZh2Y5DXOP1pPYbjxvMd08YcvgZPSGREDfA6fiediwMOg6qK5x+Lf/7CQRHwndehYShrY5v5a48LnnkK0ornf5CUaFBvHjDdMb0i6VvnCf2rKWw7CkoyILJV8OA6bDzK1h4n5M8HfsT5wGfHWjT/kI27iskJDCA0X1jnH5BB9Y3nnHLB1Ca63w2gaHU9EknYG/97pk5UUPZuaeAmT72dVRYMGP7xXbU2xARFylp6RqyAO+ejP2BPQ1nMsaMBx4DTrfW5jS1MmvtIzh9XsjIyPCZ/IhIz7V2T0FdwgJQXlXDb+av5pWbZ9a7WPflQEEZv3xtNR+ud4a5DQ8O5OlrpjJlUPyRN5yzFd74Aez43Hlg4fSbYdaPICqZorJK7n57PYdKnMQgp7iC/QXl3HDcYJ7+MpOIkCB+ftpIJg3o1eb37cuI3lH89lujued/66musUSHBnH/RRPqOoDnl1Twq9dW13tS+8MLtnH8iCRmDPFcVEcmOn1YFj/i9Cf55B6nPDgCTvoNfHS386DGNiQtLy7ZVZewABSVV/HGqj2Mqb1w37sSnjzz8Ghf2z6F8x+B/153eCUvXwWXvggjTmv19ltixc5DXPbY15R4BmJI7RXOU9dMZXDCkMYzD5gBYZ7YAwKpmHgNYRvehJJcACp7DeXrwEnY/PatUWur3KJyAgNNix8iu7+glKWZh1iZlc/4frFMSetFSmw4ucUVFJVXkRQVqtohkSYoaekalgDDjDGDgN3AJcBl3jMYYwYArwLfsdZu6vwQRaS7OFhU3qhs28ESisqqjpi0rN6dX5ewgPN8jd//bx3PXjONaO/nhDRUUwPLnnASFnBGs/rynzBgJoz6FvllVazOyq+3yEtLd/Hgpel89OPZBAcG1GuudURV5VCWD+G96vftwBktLMjz7I+w4CCumD6AmUMSyCmuoH+v8HrP/cgrrWRDg2GcgcbDOA8+AWqqYN4lh8sqS2DxozDmXKd/RytZa9mZ27j5WpZ32a6v6w9P3Hu88xT7hpY90T5JS3UlFOyGgGCI7UdFVTWPLNxWl7AA7DpUyhdbDzJ4TAaMvRDWeOKJ7g2zfwbBh/djTcpYPjvuBRKKt1JtgviqOIV7Pylm3vXuPnHnYFE5b63cwyMLthEZFsRtp47guOFJzT77qLisij+/s5FXlx9+OOY5E/py5YyB/Oy/q9h2sJhTRqZw2+kjGNagdlJElLR0CdbaKmPMLcB7OEMeP26tXWuMuckz/SHgt0AC8C9PG/Eqa22GWzGLSNfl62n0x49IIjH6yB2tswsbJzwb9hZSWF7VfNJSlg8b3m5cnrUERn2L+IgQjh2WWC8hAkiICqVfr1ZewO5dBQv+AlmLYfjpMOO7kDicffllvL9uH/OX72ZCahwXZaQyqk8MIUGBjOwT43NV8REhTBoQxzc78+qV928YU2AQVBTRSO42GHs+9G/96doYw6VTU/m8wVC/507s5zVTg0EOKoogzMd7iWyHUbbydsGif8Cy/zhN3k66g6qR57J5f+P3veNgCUSnwZn/B9NuchK4hCHOIAFeIkKCSEkbxY9eKGfDvkJCg0r45RkjGd3X3SZgH6zdz51vegbwzIcbnlnGC9dPZ/qQpkeV23qwqF7CAvD6yj0MTopia7bTP+v99fspKKvksasyiApr5vsi0gMpaekirLX/A/7XoOwhr7+vA65ruJyISGscLConv6SSO88aTWllNR+s2w/AL88Y1XQ/FC+DfCQ8c8b2JiHqCM1nQqMgdbpzEe8tZSwA4SGB/HTOCDJzitlyoJigAMOPTh7G2NZevObtgucuOPyU9mVPwP41VF3yEg99upcnv8wEnAcTvrlyD/+9eWazT1SPDg/md2eP5aZnl7E7r5TgQMNPTx3BqL4+EoO4gY3L+k6EQcdDn4mtex8es4Ym8ofzxvL3j7YQ6PlMpg3yunBOneb0qanwDFqQswVOvccZlavKk2AGhlCV/p2jvyBY/TIs9vwsVefB27cS0WsAF00ZxD1v1x8VbNYwT9O58FhIndLsakf2juH566ez+1AJkaFBDEyIJDDg6AaFOBpFZZU8sWh7o/KFm7ObTVqaeh5Rta1f/tX2XPbmlzFMSYtIPUpaREQEcEYMu+ftdby2/HB/ljvOGs0Fk/oR08I2+2P7xfL7c8fyx/+tp7iimhmD4/nBicMIPdIzUgKDYeb3YPtnTvMigKGnOJ3GPUb2juHFG2awK9e5eE1LjCQ4sJXDJedsPpyw1MpaQvnBbTz7df3yg0UVbNpX2GzSAjCufyyvfXcmuw6VEhMWRFpCBMEH1ztPmA+JdJpkxfZzmk4d+1P46p/Oc0niB8Npf4YBbX+kVlxECJdNG8icMb0xQHxUg9qw3uNg7ttOQpG/ByZcAgNmUjX3Xco3fUJRWQVboybzyEeWX55ZyPCUNjZLKs2DFc82Ls/8nLOnzOJAQQVPLcokLCSA2+aMYHIr+x7FR4YQH9m+z7Rpq+DAAFJiwtjUoAYp4Qg1kWmJkYzsHV2vOeHQ5Ej2F9SvnYwJb2agCpEeTN8KEREBnBGevBMWgHvf3cgJI5JbnLREhgZx+bQBHDsskbLKavrFhbe8mUvKWLj2fTi4GYJCIWkkRNTvwJ8QFUpCwwtzj6yD+ew4VE55tWV0nxh6+xj5iyAfZQGB2KBQAoyh4cCMAS28o58cE3a4T03mF/DMuc4IYeDUolzwCPZ/P8NUFsG0m52hggv3QnF2i9Z/JE19JoBTm9O3fk3OsoqBfP/LCZRX1XgGEcghJHAjf7t0Yus6gldXObVjFcUw/lL49A9Of6RavdJIiQ3n56eN4MqZAwkyhj5xPvZBFxIaHMj3ThjKl1tzqKpxjpdeEcHMqh14oQmJUaE8eOlEnvlyB59tzua4YUlcMjWVf31SfwS83501hn69mv+MDhSUsSTzEMt3HWJcv1impsV3+c9V5EiUtIiINKGiqposz3M/UntFtOkhiF1JYVlVo7LSympKKhqXN8cYc8TaiSbF9m/Ur+GISvMo3fABfZY9RnxYIlsGXcGvv4rnznPGHe5bUlPjdIRPHgkjzoSNXv1nZv6A8JTh3Dg7pN4Qyqm9whnZ23dfliaVF8KHdx5OWAD2LqcyaznBBbucvjuf/9/haf2ntm797aFgDyPyvuK1yZlkhw3i31vieG9LCR9tPEBOcTn9Q1rYR6g0zxkRbcG9Ti1Svylw0m+d9w8QP9QZ4hnnYZ+pre175MempMXz35tnsnxXHuHBAUwa0IthLailGpYSzR1nj6GorJKosGACAwx3nj2GizJSOVhUwaCkSMY00X+qVklFFfe/v4kXlx5+fNucMSnce+EEYpvrNybSxSlpERHxYX9BKQ99to2nv9wBwJUzBnLT7MGkxHTfu5lpiZGEBwfWG0J3Qv9Y+rl1Bzd3u9NcbP86SDsGBs7w2WG8esM7hL9+EwARwPht73LN8c+zfGeek7RkLXUurnO3Q8bVcMrvYMLFcHAL9B4L/TIIDA7lqplpDE+J5v11+xjTJ5aTRyfXv+Odl+U8ayUsxnkYY7CP0coqiiF3a6Piwpx9mBEX02vlI/UnJI08ig+oDYoPwps/Im7ze8ThPLn4d9N+xeY8p+N3dGv6Uexednj4ZoDdSyBxKFz+spPE9B7nPJ+mGwoMMExIjWNCalyblo31ejBmUnQYs0e0fOS77QeL6yUsAO+t3c+NxxUxaWD7Dvkt4k+UtIiI+PDpxmye+CKz7vUTX2QyqncMF01JbXqhLm5IUhRPXTOFO95Yy4Z9hZw4Ipmfnzay3gVWeygorWRlVh6b9xfRNy6M9NRe9I5tcNFWuA9evhr2LndeL37Y6Q9y/C+ckbg8DmQfIHnRA/WXraliUOFyNgUNh31r4KlvOX1IwBkxbM4fnRHDGggOMEwbHM9ZE/o2Dnr3Mnj+Yqc5lzFOLDO+73Qk9xaZ7PQb+fKf9Yq3BQ1mY9hEzhpVQMzGlyEyicITfk90n/SWfGTNOlRczrq9hZRVVtO/VwSDEiMIaaoP0YH1sPm9ekW9l93PLdNeYsCwMfXu1B8oKGPtngIOlVQwOCmK0X2i66/X18MhN70LJ9/pDF/cAjlF5ew6VEJ4cFDzcbdWVTkQAEHdr+ahqQ79FdW+y0W6CyUtIiI+vLVqr4+yPd06aQGYOiiBF66fTmF5FQmR7f+gu+oay7zFO/njO4dHkzp2WCKnjenNwIRIJg2MczohH1h3OGGptehvTkLgeXp7TY3ly225fCswjIZR1gQGM6p3DOxddDhhqfX5/8H/s3fW4W3d5/u+j5htmZnZQYeZk6Zpk7YpMzMzbO0K60prV4aVmZNymBtmcMwQM1uWZLH0++M4khU7ha3t97dN93X5WnR8ztEReP08533f5xmyWExdR2wD3FjezhPLSui0urh4Uiqnj0oi1qCmsduGuaud7JW3Izk6f+LziZbJ6dOoNRSx/FAze+u6mZYTw/iMCFLHXgk2E+z/CFRheOc+yvLqBP65rZnPE8/ljHHn09IrMC2ykCL5z9tI/xTdvU6eXV1OolHDwQYTvU4PC4cnMCs/ZvBh7qMuYv1x25mbG44uJTA/1GZ2cNcX+1lbKr5mQYAXzy3ixKHxgeOMaQPPlTQGlL+spa602cxNH++hpNmMVCJwycRUJmVHUxhv8M8HdVgcFDf1YLK5yIjSkhdn+Ok5I4cZqtbC5pdER7qJ14tZP7L/P4b4fwvSIrUMTwpnX323f1tGlJaM6H+xJTNEiP8Q/rsbtEOECBHiX2SwZPWRv3Ha+v+vhGkUJBk1v0sy95HOXp5eGZx/u7G8nXaLg/Pf2MaaozksHtfAg71u8acPs8PFS1taqS68Lng/hRbSpjAkMQwkgyzcpQpxFd7H/noTl7+7k9IWC20WB08uL2Ppnkaq2yyc/doW9lXUIGncPeA0nu46Hvm2mEKqeFC3hBNqnsBTuQGzLBJOegau3wVX/4hkxDksHp9NbpyePQ0WHtxoISw6kdy4fz9AsKTZTJxBzZPLSmnsMDEnzkprfSVbK48TVhmVHUicP0raVHSxGUGbiptMfsECok67/6uDtPT0C6pMHAV5JwUeq40w4174BTMxDpeHZ1eX+Z20PF4fr2+qobixh6dXltHrdNNqtnPXF/u54I3tXP/hHha+8OOATJoBVK2FTy6Aui1QsVI0RGjY+bPXczy8Xh9HOqzUdlhx/39SyTBqFTx95nAum5xOepSW88en8MoFo4jR/4pw1RAh/gMJVVpChAgRYhBOGhbPF7vqqO8WF2lJRjUnDYv/maNC/Bx2lwfHIO0tHp/owvTUilImZ0cRHp0nzq/0d9cqOBXC0/wPtQoZI5PDuXefmz/Pepf01lUImiic2fNJzOobcE8YIS6mbV3iY00EnPQstJdBbydEZrGrtgtfsGkY72yuIdag5EinjUqLFld8EfKmYOHSq07ggjQTkzZe4K/mhB16F5v2YyicDxHp/n3z4g18dMU4Grps/1bWyJHOXqrbLLSa7SRFaLHaXTR027h3oobTzB9g2PIZKPW0au/FkXouSs0xVY/ITDj/S1j9EDTvh7yTYdKNoAwWUKKjWDDtFmdQsj2GeFj4Aky4Dpy9EJkFEWkDjnO4PBxq7KGqzUK4RsHQxDB8wIaygQLEbHfx+a56LpiQSpvZERQm6vb6+NPSAyy9dtJAa2cQW8I2vxS8zecTQ0tTJw7c/2doNzv4YHstL62txOeDSyancemkdGIN/744sLvcVLZa6ba5SI7QkBLx60wKMmN03HdiPjfOykKrkCH7tdbfIUL8BxISLSFChAgxCNmxej65aiKlLeKd4NxY/c/akIb4eZKMaiZkRLClqtO/zaCS4faIqsHm8oj/NqbCBUtg22viHMqQ02HYGaAIfAYyqYRLJqVx+TvtnPydjIyoxQxPDuP2yDz8NbHoXLjoW6hcK85ZSGXw5eVg7xazYWY/xHnhCaSfEE65NxGnx4dEAIVMQmuPlS9PkpDe+hlMvAFW3CPO2ggSmHYX7bpccirfGdB+ptryDORMA3nwQjRCqyRC+6+3g9V2WFl1uIUNZe3oVTJGJLsZmqjHqJFzUu8KDCWfiDvaTcSsuwtPci5kzsDU66Sz10WERk6YRkG5PJe2sc9jEGxowmJJjwznWPmUGaVDKhHweANqbnZ+DHF9C3a7y4NKLgWN8WcFwYriFm74KNDqNzkriscXD6UoJZwN5cHCRauU4fb6cLq9dFqdx56Kui4bFqeHiAG/ARAGr/LIA21TTreXgw0mDjSYMKhkjEgJJz1KN+jZtlR18MzKcv/jV9dXkR6p5eyx/565gNnm4p+bqnh+TQU+H4Sp5bxx0WhGpw3+qo6HRCIQ9gutyEOE+G8gJFpChAgR4jgkGtUhofKv0FktDq73dkL8MDGnpG92Q6+S88gpQ3ltQxXLi5vJidUzf0gcz/S1jF09LZOooyF9cUPFNiu3bUAl4Ci5cQY+u3oCVW1WFDIJWTE6wo81DogbIloQ7/8MDn0hChYQW9BW3Itu+j3M3fwcxunvccbXogDJj9OzZL4b1cfnirkjhz+AogtxpkxBEZUOEVlEugS8wiBtbG6baLH8G7OtupOHvw0Mv6841MJ9C/JZmK0gasmXA/aXNuxmv3Ikd32xn8NNZgriDTxwcgFXvb+L7l7xupWyaj68YhyjUoMXzHnxBt64aDR//uog9V02TiiM4/Z5uTT32Fm6p55Vh1uZnhPNaaOSyIwefNEP0GSy8ZevDwVt21TRTkWrhTvm5VLc1EO7RRQncwtiKWs2MzwpnLRI7QAhdXSfmL7vR7PJzv76btotDjKjdQxJDEM54QZkVWvwl85kSsg9wX/85sp2Lnl7h//XSeEq3rtsHOmDvIbvDwyca/tyTz1njk7+xfk9g3G4uYfnVgestU02F/csOcAnV074/yZAM0SI/x8JiZYQIUKECPHr6GmEpr1gaRNnJOJHBO5wd9XCh2eK7VdHOftDyFvgf5gZo+ORU4dw65xsWs0OXlhTQXKEhosmpDEzLyb4uaQykP707EdcmHrwIMmjeD2w7RUITwZLS/DvfD5R0Dgt5NZ/Rm7s2dR32fjHdBmqPa8GghJdvbDtFWROKxS+AIBBDvb82bDzGfE5+hAm3SQOgf+GWOwu3tpUHbTN6fFS02HlpPwEPJG5SHuCg0Fd+kQuf2cnrWYxcb2lx873B5v9ggXA4fby5o81DE8KF1uMHBaQKpDKFEzPjWHptZOwOjzEGBTYXV4uf2cnO2vFVrtDjT2sLW3l3cvGETVIu5bT7cHu9NDZO7Bi0mN3My03hqXXTaK4sYfuXhfbqjsIU8u5aXYORq0CjULK25eMYWN5O9urO4jQKrnzhDxUcintZgd3fb6P9X2Vmkitgr+eOoSlO1VcNfMDsjrXodbokRWc5A/W7LG5eHxZaVArYH23nT113YOKloJ4Az8cbA7aNiQhDKvTTUWrhV6nh/QoLQm/0hK8yWQfsK28xUJ3rzMkWkKE+AlCoiVEiBAh/gfxeH1UtVvosjpJCFcHQhh/8iAnWDvhq+uhcnVg+6IXYeT54r8b9wQLFoDl90HyeNBG+jfJpRJiw9TEhql54dwiXF7v4G5XvwUeF7SVivkquhiwBOYkEASQigtuXU8lMToZJ2VoyT30zKCnkriCF5yqlDFw4Tew9SWxsjT+akifDogtVGUtZppNduLDVGTH6sWWqn8RYZCb+1qFFIMhDOnMe+DdbaK4AlzRQ6hSFaJTdvhFi0Etp9PiGHCOhq5efNZ2KPsedrwG+gSYcgskTyBSpySybz1/uKnLL1iOUtxkpqrNEiRaKlrNfLGrgc2V7VwwPpU5+bGsKA6IRblUILPP6SrJqCHJqMHt8TKvMNYfuCiex0JDl40wtZwFwxIYmRxORpR4XElzj1+waBVSrpmeyS2f7MPm8rCsBJKM88mI0vLspCEY+944h9tD+yCvv2eQUFWAeUPi+GB7Lc0m8ZgIrYLTihL5y9fFfLG7HoBovZK3Lh4jmj78QgbLPSqINxAZEiwhQvwkIdESIkSIEP9jOFwevtzTwANfHcLp8RKukfPKeaMYnxk5+AH2HtGVaesrUHhKsGABWH4vpE8TKxkOy8DjrW3gGXh3+ShymQT572Rm2Wa2U9ZsZsSQ89BufASm3QXrHgNHj+gsNvFGKP4KgCNpZ1C728Ffx0mhfTjEDoXaH4Ntgo+Ks6NIZZA2CZLHAV7RmQxwebx8urOO+78KtEY9fEohZ49JQf4vDE3rVHKun5nNtR8EzACUMgnTcmKQSyU06YdxaPLHJLlrcQpKqqVpyBvbeG2uiuf2SPj6sJmaDitnjErim2PsvC+bnI68+AtYdre4oeUQVK+DS1dAYpF/P5lk8Ovuv721x85V7+2isk18z/Z9vp+/nTYErULKtweaSI3U8JeTC8mLCzYIkEklQXlA9V29bCxv440fa2jrE11KmYR3Lh3L+IxILA5RaJw/PhW9UobPR1Aoan2XTfzp7OVAvQm7y0NWjI77Tsyjqt2K0+3l+wPN1HX1MvQ4giMnVs9nV03kcFMPPiA3Tk9Fq8UvWEC0hn56RSkvnjfqF7vt5ccbuO/EfB5fVoLb6yPWoORvpw39zfOQjkeHxYHsmIDLX4vX66O5x45cKhCtV9HV68TU68KoVQRl/YQI8VsSEi0hQoQI8T9GeauFe5cc8LfJdPe6uPmTvXx1/aTBnZEqVsHnl4j/Tp888Pd2U2AYPbYAJNKgdinGXAa6P8Z5zeXx0tpjRy2X4gP+/NVBlh1s4cqiHK4ovIzorS/DuKshMgM00bD+b9B9BM/MB6jSTOCdCQdI+f5uce4lLAlOeQX2vA8eB4y9ClLGD/7E0uD/nFa1WXjom+KgbQ99U8y49EhyYv81q+OpOdG8efEYPt1ZR6RWwRmjkvyJ7C1mB5f/YAEiuWKkluukHxB+6F3w+Xg8dRbjp9/IveusRGrlPHv2CJ5aUYrD5eXa6ZnMTJHCW88FP5nHBQ27g0RLRpSWk4bFB2UYTc+J9ldNQKyO1HT0cvZQAxNinDTa5DyxrJSPrhjPbfNy0SplGH/BYvlIZy8dVhdtZgcLhsaTHavD54ODDSZGpoSTGa1jTkEMdZ29rC9r45Y5OQPOccXkdP701SH21XUDcPPsbA7Um1hd0opaLuXiiWlMzYk6rmgBSI7QkNzP2WttSeuAfXYe6aLH7vrFokWrlHHxpDSm50ZjsrlIMv5Me+NvRIfVwXf7m3h1fRUqhYTb5uQyIzca9a+scDab7Ly/rZY3NlYTH6binhPzeWpFKaXNZoYnh/HIoiEMTQr/fV5EiP9pQqIlRIgQIf7HaOi2DbD4be6x0252DBQtTiv8+GzgsSAVh5vdgTYbe/oc3Ko4dABxw+C8z2HlA9DTAEUXw+hL4Dh36X9L6jp7eW1DJZ/urCdar+Se+XksOyi2Jb2228qKyMlcNWIOJw1NRh/dFxIaNwS8XqRhCUxvPoTktesDWTCmelh+D4y6BPSJkDkD5L/M7rbT6sTtDX6TXR4fnVYn1e1WqtosaBRScmL1RA5m3zsIOqWMmXkxA+d+gCidgnCNnF6HhzOjawnf8I7/d+ra1ZyaNIqCa68jK0aHTiVjanY0Hq9PND3o7Qpy2PJzzGvVqmTce2I+03Kj2VbVyZi0CCZlRQbdsZdKBN45UcO4g39GXr4HtNHMm/EIHjwkGX9Z6CSAXimju9fJBeNTKW0x813fUHxKhIZJmZHkJ4Rx4fg0LnhzOwB7jnQxrzCO5YfEGRS5VCApQsM/++aAMqN11LT3srpPdNhcHl5eX8nErEgUsl/+3RwswHFaTjThml9XXZBLJWT/i+L1X2XN4dagyt+1H+zmg8vHMSkr6led59v9jbywRjQSmFsYy+2f7fNbZO+rM3HVe7tYet0kf0BoiBC/FSHREiJEiBD/Y8SHDVxMROuVROoGuwMuCbbu3fkGzH4Q394PETrKMWecxNrYC8nrFcjRI1YcMmdC4mhxvkIXO/gwxi/BZRPFkTrcv8ntES1ri5t60CnlDE8KIzVKi9vj5c0fq3lv6xFAbA86Glx4lJoOO/estjN6+FD8y0V9XOCVmuqCwisBUbgkjhLbv+S//G54Yrgag0oWNC9hUMtQyiQsfH4T5r72puk50fxt8VDi/8077UlGDf84awSPLyshpn37gN+rK75jxLSboe+uurH//ITGCLPuh08v6LctQky3P4aEcDVnjErmjFHJA37XZXUQp7STcOhB5M19FsfWNjLWXIMncz0EjKgHpcvqZEdtJ9urO8mK1jE1J4rSFgvbqwP22Ec6e/l4Zx33n2TAoA4sYdaVtjGvMI5b5+QQoZEzJDGMNaWBqsjoNGMguLQfBxt6mJId/ZPX1Z9hSeFcMz2TV9dX4vWJLWM3zMxGKfvtg1h/S2wuD+9sqRmwffXhll8lWnpsLj7afsT/WC6VDMj0aTTZqeuyhURLiN+ckGgJESJEiP9kXDZoPQzmJrGdKSrPby98PHJi9fzl5AIe/u4wHq8PnVLGM2cOH7xFRaGGKbfCB5vFx5ZWWPso5Qs+ZVOdm++rPTTUuPhq9DF3mlUG8edfweeDI1tgw1PQXQOjLoUhi8EQz5aqDi56cztHixjJRjXvXTYOpUzCpzvqgk4jk0qQSwVcnkDFY2JmJPHHW0zpYgduU4VDRMYvSnnvT0qklpfPH8Wtn+6lpcdBnEHF388cxqvrK/2CBWBdWRv76kz/tmgB8Y5/WoQGRWUFFL8f/MvUySD7iefIngMXfi22AurjROEZnfuTz9dudlDX1YtOKcOgkvHnrw6xIN5E6jEhnPi8SLuqIGGYf1Ob2UF5ixmXx0tWjJ64MBXvbKnhH6sCuShXTE7H4hw4JP9jRQc2p5u0KC0TMiLZUtUBwPJDzdS0W1kwLI7yVgsj+lrnQJyRyYjW0nbMIH7yr7Q0N2oU3Dw7m0UjErA5PaREaH5xpez3wOXxsru2i6/3NSIRYOHwREamhA8Im5QJAglhag429ARtD1PLWVfaQpxBTVyYki1VnfxwoInsWD1zC2LJPWb2SCWXkBqp8c8sDRZqKZcKGFSh5WWI357QtypEiBAh/lNxO2H3O/DDXeJjQYCTn4cR54pzJcdBJZdy3rhUxmdG0mFxkmhUkxY5SHvQUdKmiAGNxV/hVRqoi5nJOV9Z6LA6UcokfHzpKGKEbnDqQfET5/mlNO+HdxeJbmUAK+4DpwXL+Ft5clkp/buu6rps7DnSxYy8GOLDVVS09i2mJAKbytt46dwi/vrDYWo7epmZF8NdJ+ShUx2nlSc6V6w4rH5IfCyRwcLnxaDLf4FJWVF8fd1kOqwOInVKJIhZK8dS39X7L53/WARBIC1aB7JZUDxBFH4A4ak/36InV0PGNPFnEBq7bXT1OonWK4nRqyhu6uG6D3ZR3d6LXCpw/YwseuwuGm1y0EaB9Zi0e22gmnGko5cbP97D3r5Zk/gwFS+dV8RLayuDDnl7Sw1/PXUoH20XxWiMXsFto+WMiXTQ01DCbnMEd8zLYUtlB6sOtzImLYKsGB0riptRSKVkxmi598R8nl5ZypaqDp5cPJxDjT3+If6xaRGMTPnp6s9gKGXSAUYCx2Kxu9lzpIvtNZ0kGTWMT48gNUpLl9WJ1+f7zYTOrtouzvnnVn+754fb6/jkyvEDgirlMglXTM1gbWmrX8SHqeXIZRIqWq1c8e4u/n7GCO78Yh92lxdo4t3NtXx29QTSogJ/0wqZlGunZ3Gg3kRyhJY9Rzo5e0wyH/e7YXDnvLygY0KE+K0IiZYQIUKE+E+lo1x07jqKzwff3ya2MkUPHEzuj1wm+dmFV2BnFaRPgfQpSIBIh5s3LjLTaXUyRt+BbtfDUPqtGCI58z6xnerfoeVQQLAcZcuLCEPOpblnoAtZV6+LcI2C+08q4EBJKXMTnMT7WpDU/YDCMoxhiyfyeY2CLZUdvLO5hqunZQYNV/tRaGDcNZAxQ8xzCU+FqJ9+H3+O2DAVsX3teC6PlxOGxLGhrJ1zxqbg9HiQCgIT0gxgN4PqN5pxMKbC6W+J9tP2brGCJP3XFsk+n491pW3c/tk+0o0ybhwO6hgJFa1avxWwy+PjmVXl3D43l9c2VTFvxl/JWHNNIOOm6CKIKfCfc1NFm1+wgJhbUtZiwXVMIKfL4yMxXM3ZY5JZW9rKh1M6yNx4izhnJddgn/I05/8Qxd0nFnDtjAwe+a6E1zaKAnDV4VYeXzyUK6akMzs/hh01YgXhkklposu1IDA7P/a44bFer489dd18ubses93F4lHJjE0z/uKh9a/3NXDvkoP+x6eMSGRyViTPrinH7fFx/0kFpERoMKjlg38XEVuxajqsuL0+UiPUROoGVgg/2FobNJ/m8fr4Ynf9ANECMCrFyDNnjeBAvQmpREApk/Dimgqm5ESTHaPnmVVlzB8Sz5I9DQC0WRwUN/UMECCxBhVXTctkbUkrw5OMzCmI4ZQRCTT1OEg2qsmPN/xLDnkhQvwcIdESIkSIEP+pWNuCXbpAnAHp7fhdn1anlDEixShaIX90B9RuEn9RuRoad8MVa8SWqn8V2SDtWyoDWrWa88en8vTKQA6MIMCwJNH9abK+ialdT4KQAbveEnfYD8aoQjxJj7Gpwsymig4UMgl/WlDgzwMJQqEJcsz6LZFLJVwxJYPhyeH8aclBNEopr8+Skr7xEegqgRHnQeFponX0v0vDLvjkvMBjYwZcsAQi0n7VaSrbrFz9/i7mpKv4S9QaotY8Dz4fC/XxxJ3wEl9VC5yR2Em4pwOZUcGuWBlXbI3inqmfMVTdgTEqHkncEGSaQEXj2BYlgJ01nczOi2Xl4UCeS1qkhpwICQ+elMNdY+UY373An0ODq5eMjbdw25iPuO/Lgzy0qJDajuCK1ftbazlpWAJSicA9Xx7A64NV/dy/0qO0FB7HOexAg4mzX9vir0p8va+JNy4azaz84BZCr9eHy+NF2S9/p6nbxmPLSsiI0jJ/aDxSCWRF67j5k714fXDL7Gze3VLLlqoOdEoZ956Yx6IRiWiVgSVZbYeVPy09yMa+LJrpOVFcMz2LUanGoJYspztY6IEYGDoYEonAupJWvj3QhNcrhpMCtPY4iNDJaTd7yY7RIZcKLBqRSHyYCq1Sisfr8/+tWO1uHvmumOWHxM/px8oO1hxu5a1LxjA+89cN9IcI8WsJiZYQIUKE+E8lLFlsx+qfI6KJEGdb/gg6KgOC5Si2Lmiv+LdEizliCFpDEpKeQB6GZcqf0WmjOWOUDo/XxztbaojUKrh7fr4oWpxWJKsegqTRsPn5oPMp2g8xuaCVpxHvqn++s54rp2YMnCOx94iL/aa9EJYCyWMgPOXXXXxLsdiW5bJBygRIGBHUqhdrUPHpjjrcXh+PTFIyduP54OgzDFh5P5jqsc14mMpOBwKQFq1F+2tDN60dsOJPwdu6qsTXdYxoqW63sq+uG6vDTWGigSEJYUGL4oauXhxuL5dkmoha188W2dxEUfcyhqvNKNd/6N/8twn3c1FxES3qDFY2xLBhbRuTMo9w+RQZefFiZW9iViQHGkzMzo/B7fVhdbgBgfgwNTEGJVurOrhpnIETpDtQfHIfvohMJCMvEgWlq58wcdmIFboxOxTIZRKSI9TUdw10xjPZXERoFbRbgqt3up+Yu1hTEmijWlyUSGqkluKmHrRKKcOSwtEoZOyv7+bdLbWUtZg5e0wys/NjiTGocHl8DE8MIyfOwOsbq3C4vQxPDuO2ubksP9RMcZPZP4djcbi5d8lBMqN1jMsI5CR9d6DJL1gA1pW1kxtnQC2XMCw5IADPn5DK8n7BnQBnjDr+3//8ofF8vrvB/1gqETh9VCLdNheHGky09th56bwiHvuhhM/brChlEu6cl0tBggGLw02UThl0XQAHGk1UtFlEJ7oQIX5HQqIlRIgQIf5TiciAM9+HpVeJA/KGBDjtn7/Nnfqfo+uI2H4kVQxs5fo351o2tutwDH2RURxC1dtCk3E0/zwYwV9yHcSHq7l5djbnjktBKZMQftRu19QlCqjEkeDt52aki4GIDJT9FuJJEWo0xybT+3yw7yP44c7AtqSxcNZ7QQ5jP0nzQXj7RDG3BsSZmAu/grRAto3N6aG+S8y0yRGOBATLUXa+ya6oMzn/S7EisGBoPPeemEei8VcYARyn2mbu6eb9dZU4XB4mZkUSpVNy/hvbaOwWW+6kEoF3Lx0b5CYVqVMiCBDpbhtwPpkuEtmOV4O2xe14nE8vWsvZX9ZyuEl8bZ/vbmBHTSefXj2RWIOKEclhjEs38uzqcrw+0bnuwYUF3PjRXpKMat65ZAwpB19CWPVXAISWQ8grVsLUOwLzRgAyFcbYZO6Zb0QhlVCUYuSs0SlsqWpHKghcNS0ThVTCpzvruHhiOk+tKPUfOiI5nMKE4+ez+PqUz8nD4mk02fmi30L/0VOHMj4jgnP/uc0/H7O/3kSr2cFNs7KJD1exYFgCd395wH/MvjoTMXoV84fE8XyfXXB/DjaY2FLZTn68gREpgzudlTabGZYUFiRaxqRF8O6lY3l7cw0SAS6emEbRT8zpjE2L4InFw/hs5xHOn5CGw+XG4vDyxDLxvZmRG8OB9VX+QXuH28vD3x3m9rm5PLWilHCNnFvm5PDX7w4f9zlChPi9CDUdhggRIsR/KoIAWTPhinVw1UaxLavfAvl3pfQ72PayOODdn+wTICbv54/3uMDcDM6BQ+g2l5dbVluZtyGTBQemsuh7Keurrf6ZB0EQiDWoAoIFQG2E1ElQswlyF4jvzZTboOAUkMhJ8x3hz5O0SCUC956YPzANvPtI8IIYoH67KER+KRWrAoIFRPvkH58LyrSJ1Ck4d5xYvXELgxgCyNWUt9n8D7870MTa0oGC4SfRx8GYy4O3SaQc9CTx+LIS/rG6nLNe20pxo4lZaSrumhRGdrQGj9fH0ytLsfazac6K0XHnvFw6ZANtgb3SQdr43A58DotfsBylttNGdbu4EK7vtPP6phq/oUKb2cEr6yo5YUgcJw9PIElmQthyTNily4ZbERZoHZQpaZnxNFf90M3zayo40tnLxvJ23thUxfnjUnF5fNz08R4+3F7L4UYz3x9o4s55uVw/M4tb5+SwuChx8CDVPmbkxSCTCGTF6NhSGSwAH/3+MPVdvX7BcpRX11fRaLIjl0qwuY5p2wS2VIrtYOmDDKlbnR7+sbqCq97fzTMryzh5+MAw1swYscrYH5VcytScaP554Wheu2A0k7Ojg1rVALp6new90sWhBhP7G0xE6xVcOTWTz3bWc6jJgsfrQ9En6gsTDeyq7Rrw3Ha3+Hq6e13sq+umMCEwDzc0IYysaN2AY0KE+K0JVVpChAgR4j+dsETx54+k5DtoLxNb1Gb+Wbyzb0iEIaeBJvKnj20vFxfzxxnez4vXo+hb+B1d/F02JZ24n8p9UGhh9l/go7Mhfjic/Cxsew1aRNGhrdnIRdnzmXP9syTGDdJ773GCyzpwu+tXOHtZBxEXluaguSNBEDhzdDIWu5ud9g7yjJnIugKuWR1jb+f1HcGL4VXFLZw/fqCDWbPJRmmLBY/XS06snqSj1RiJBMZcJlbBdr2FS5dA14R7uHt5YIYnzahkqGM38zseRVrTwNk5Z7E07yReP+CgxWwnQyUuQlV9yfGtrSoc9ptRbntWrErp4zDFjMGoCgsWajGF2LRJwDHuYYh2uQANJtuA3+1v6OHuE/PJjtEhxSRmAx1Thaq3K+mYv5RCVRd2l5v9tgRae9pwerw8v6aCM0YnoVXIuO2zffQ6xff88WWl3Dgrm8d+KKG4KTBL88ZFowdcQ3+GJYXz8ZXj2VffPeB3FoebY7QDAHKZgLQvkyhpkMpYQYIeuUzC1dMyuePzoy5dMDrV6K++AXy8o463LxlDQbzBf83Dk8IYkRyOQSXjcFMP7WY7jSY7aZFahiSGBc3DHMXh8rC/wcSumi4SwlW8uqGKQ43i+ZIjxLydp1eWEWdQcdHENP65sYojHb1kxeioaLUEnUvZL4CztNnMbXNz+GDbESZlRjFvSFyoNSzEH0JItIQIESJEiF9Pxgyo2SgO31euFheZ0+8RW9R+CocZvr0VajaIjytXi3MkV6yByEwACuINfHDFOF5cU0FdVy/njUtlwbA4hJ8LqYwfBpevgs5qUYC0BFdJZOU/kDLjbpAMkscSliRWZQ4tCWxTG382qySInHmw5YXgbeOuHpDxkhCu5sQhcawqkbBn8qvEd25HY66hLXo8lcoCGrqrgvafmDVQBFa3W7n6vZ2UtoiLyxiDkncvGeufGyEsCabfzZ7Y0/hsfwfqunBqO6v9x/9lrJfUZRf5BZVx/2ucPdKLZ8JVXP7OTi6fks7CEYnolDLUChmpSUkQew8MX4ylp4sqTzRv73Vy1ew3ydr1CNLmfXgyZiKd+xBhxljOH5/C+1sDIYSLRiSQ2Xc3PnGQTJohiQa+2dvILXNywBALsx6Ar671/96ri0cdl8OIzj1IezpQCVJmHf47r817kIu/t2KyuVDJpfjw+QULQK/Tw966bu47MY9XN1Qhl0q4bU4OYwdx1+qPVCIwOi2CMLUclbzULzAAJmREkhCuJiFc5W+tk0kE7johj7g+p7jhSWGcUBjHskPNABhUMq6bnsVH22vZU2filtk5uDw+0qM0rCxu5dOdwRlDCpmEyyeno5RLUMgkKGUSrvtgD2aHG61CyvUzs3h3Sy1NJjuPnjqEc8cFi1q7y827W2p57IcStAoZ545L8QsWgLpOG3WdvaREaDjS2YtWKVZnlh9q5p4T83hyWSnWvvdxwdB49tcHhOkpIxM5YUg8JwwZWA0KEeL3JCRaQoQIESLEr6dgERz+Cpr2iY+j8yFvwc8f11UbECxHsXeLw/t9okUQBMakRfDqBaNwuL0Y1MfJVRkMQ4L4U/Pj4L8/nvCRq8WFsiFJHKQfeb44TN+4GwQJRGX//HMnjYGzP4S1fxNF08QbIXte0C6lzT18d6CJQw09FCYaeKdUytqSTMI1+XTvc/LJlQkUxLf777APTQxjbkFgpsZid3Ow0cSO6k6/YAHRAerj7XU8sLAgIO4EAWV4HEsOVXPTrFgkAv4KQaqndoDznPrAe0w783Ieabdy75KDpEVqmdg/LV2uwh5VSK3XwlmvbMHm8vD1XoHTCh7mzFMMJCUmERcViQa4Zlomk7OiONzUQ26cgVGp4QgIbK/uwOxwcfW0DF7bUOWfaVlclMRfvzvM2WNTxCT1goV4dbFYDy2jRxWPJ3kiSevvQdK4S7wWmRLJnIcZ5zjIPdPH8u5eMwqpMGjL18ayNv68oIBFIxORCsKvykjJjtXz7qVjefCbYipaLUzOjmJkspEr39nB8+eMZFdtF0aNAofLg8PlYVdtF0MTwzBqFZw+OpGhSWE43B7Ucil1nTYumpTO6XY3G8raUcklJBkj2VsX3I41IjmMKJ2S7l4XdpcHnw9u+WSfvx3N6vTwj1XlXDE1gxfWVPDo9yVMyY72Wye3mu3srOnk0e9LAIgPV1HTMbCKWNJsJj1Ky5HOXmL0KkanGkmL1DAqNYLPrp7AtupOsdXN4eaplWVIBFHALBrxMzcmQoT4nQiJlhAhQoQI8euJyoLzPhdbxBDEPBPdwLkHALPdRXFjD3VdNqZEQKxMGTTnAYByYJ+/Ui4d0J/vx+MCQXr8wMSoHEgYBUcXuQB5J/+0q1lEOsx5CKrWwYenBxb1uji46OtA1aWrFrpqQB0OkdmBSopcLQq3tCniPIsm+G5+bYeVC97cTmuP+NpXl7Ry/vhUYgwq4gwq7hmXh8nm4rlzRtBhceBDICtaF9R6s3RvA29vrvFXLfqz60gXTnew/W5BQhgfXzmeTWVtPHPmCN7ZUovJ5kIfNkilQRdLg8WHUibB4fZS2mJmfEYkEolAVZuFz3bVsaGsncVFSf62PbfXx6cHe/im1Mqq23KwONxsKG3jxXUVSAS4eVYO4zMjkUsFXt9YzRPLxYHvoYlhPL54GF29TppMdp5cXopSJkF/1NFLqUeSPZtKZRE7artZaN4RECwgfn/2f4Y6fhhXVb/JedNvYr8ula9LuxmaGMaBhkBl4K75ecfNYxmMVrOdDosTo0ZOXJiasemR3HdiHuvK2tlZ0+Uf6N9T20VhgoF99SYO1Jv44WAzGoWUV88vQqOSceW7u4LayLKitdw6N5frP9zt3/7+tlreuWQsn+ys58eKdqblRHPKiETOeGULJptoKDG3IJZZ+TF8tbfRf67+tsYWh5uKVgtbqzrIi9NzsNFEQ3cgz6i2o5d5hXF+m+KjFKUa+f5AE/FhKlIjNbx96Ri0ChmCIPDe1hoe/KYYgMxoLZdNTqcwwcDQxLBBW99ChPgjCImWECFChAjxr6GLEX9+ApfHywfbjvDYD+Jd36xoDUvG34l+08OBnbLmQvQvGN4H6O2EyjWw43VxjmfsVWKF49gKii4aFv9TnL2pXg858yF7Lih/JsDRbYeNTwVXISzNULtZFC112+DDs0RrZ0GAybfBxJtA3S+oU9Xv3x0V0LQffF4U6kzsxwxof76rjtfOH4XcUo/QtgVbh5YXGnRcPnMoQ47JEKnv6uXxH0pwuL0sGBrP8r7Wo6MsGpEwqMgbnhzO8ORwDhw6wHOj20GhodSRyOioQhTth8SdBIGqUfexuVlAKZcwIy8GhVTCua9vJTNaR368ng+2HqHH7mZOgWvAc6jkEmQCbK/u4NoPd/u3X/buTt66eAwJ4Sr+3i9f50CDiTu/2M/Ns7J568caBAFumZ3D+tJW7G6xarH3iAkEeGp5KSdOaRr4WXVVQsJw6KhEt+xGEme+yJI9kZw5OplZ+TH02FyMS49gUtbgYnowdlR3cvMne2nothGjV/L0mcOZnB3NztouXtsQaNu7amoG3x1o5pG+asboVCOPLR7KkY5e3tlSS1GKkSumZPBqv2N0Kjlf7q4PEjK9Ti/LD7Xwt1OH0mN3IZdKuOr9nX7BArCiuIU75ga3KSqkEiQCFKWEM78wjn313bzQ50r2wMkFqGQSf2XN4fbSbLJz0rB4vjvQhM8H03OjSY3QcPaYZE4ojBuQV/Pd/sD7Xdlm5aV1lUzPiWbBsFCVJcT/HSHREiJEiP9ajnT2UtVqQaWQkhOrJ0Kr+PmD/tuwdYvOWHK1WGWQHKdy8TtR027lqeUBq9mKtl7uqh3Fk2d9jrarREydTxoN2l8YTHf4a/jmpn6Pv4HLVorD98cSmQmTbhR/filuB5gHWSBb20XB9PXNomABcSB941OQORPSJgXt3tRtQ9lVSsTnp/sH9OOVel6d9Q7nfBsYtJcKAsOECsJXnes/77Ahl/LFASXp0SODMlqcbi8WpxufT5xpOXN0Ml/ursfj87G4KIn5Q45jzWxuhqp1DK39UWyda6gh3Gxi39gnCbNWo/X04I7K56Z1PhaMUKCRy0iP1HLfUnEmaGtVJzqljMunpPOPVeU4XF5iDUpaegLVsosmpvHpzjoiBmm9+mRnHTfMzBzgfOXzQXasjhtmZqFVSjGo5Hy5u4EnlpcxOjWc88an8uelh8RFtzqLAVYTWXNEt7g+kso/YEzqn3hvay0SAdRyKSNTjD+Zx9Kfhi4bV7+/iw6raOEtlQi8uamalAgNeXEBIRqlU+D0eNlT1+3fJpMK/FjRzjf7xO/OqsOtFCYYOH1UEp/vEvOGIrTyoNkY//uAj7quXqrbrURoFRyoHxi+KZGARiGl1+lBLhW4eXY2GoWUaL2Sv68qIytGx30L8nludTlL9jSQE6vjplnZvLy+ErvLy9rSVv68oICcGB0eHxQ3mhAEsRUt2qBkS2U7UolAZrSOSJ2ScemRbK3qDLqGMek/PQcUIsTvTUi0hAgR4r+SAw0mLnpzO519C5DpOdH87bShxIf/8jaR/3jaSmDpddCwU3SSmvknGHVJcCXgd8bicOM+ZrH6fXkv50wdy5SJc37dyawdsPHp4G1uB9TvGFy0/CtojDD2Slh2d/D2tEm4LB3I24oHHtPTEPSwuNHE7Z/t583M9cGOYg4zQ5q+IDf2LP88ykPzktGvvSEghIDIg28ybsZUTL1DgkRLjF7JycPi+XpfE1/vayQ/Xs+1M7KYnhNNYYJh8FY6h1kMrdz/SWBb3gJ02NBba5m3wohEiODOeSlcO0uDSi7h+XNGcPm7u4JO09/e941N1Vw7IxO5REJFm5msGD0/VrSzubKDsekRzC2IZUW/wMMonYIwtZw4g4rmnkDbklEjR6uU8/yaCi6bnM7rG6tptziJ1ispDHchdfYgCOJ35+8HNTwx9UmSdjwKdhO+vJMQDIlBr8utjcPUJlayvD7odXmID1PRaXUQof35OZYmk40OqxOJANfNyKLL6qS4ycySPQ2cOCSOp04fRn23DaVMglYpw6CW0WMT35dx6ZE8u7o86HyHGnuYUyCaPsgkAvOHxONwe9lUEXBWk0kExmdEsfCFH5FLBW6alc2UrCh+OKaKJpdKuGxyOpq+GzCdVief7qxjR434vTnY0ENVWymXTU7ny90NTMiMxOZ0c+e8XCwONxMyIrn07Z2Y+32Oe+tM/GVhARe8vs3/fSxKCecvJxdy8vAEvtnXSFW7lcxoLePTI1kwLDR4H+L/lpBoCREixH8dDpeH51eX+wULwLqyNvYc6f7fES1uB6x/UhQsIFr6rrwf4kdAxrQ/7DKSjRpSIzXUdgSsg8PUclIj/4UASkEC0kH+syX5FYP6v4TC08T3b+tLoArDO+sBtjvS2H6wgWviRiBv3hu8f1ggzNPucvOPleW4vV505mqORWcq54yR8awu62RUmpF4pRVp8+4B+8XLzER4WqCiClR6XMYcth6xMykzisnZ0Xy6/QhymYRpOdEUpR4/TJD28mDBAmLL3PR7MNgaUMkiSIvSsnBEAvF9rl4tPXYkP2HU5vR42XOkm9n5Meyq7Wbp3kZ/Cv326k5unp3tFy1KmYTFRUn8cKCZK6dm8MXueg419pAXp+cvJxfg9IiVB41CSrvFyWUjtVwetov44tfxtBr5Yf5dXLZRh1Kh4AvXBJLHfszQODUKn5PUpacELkqqoHvoxeQWh3GgwUyEVsFtc3J48OtD9Djc3HtiPtNzBmaY9Cdco0Apk7BoRCLLDzVT1reQ332kiyidkmdXl9NqFqtLOqWMm2Zn+0MWNcrBz5sfp+ehhQVYnR6eW1NOtE7F3fPzWFPSikIqcO7YVF5aW47P5+OGmTn8fUUZ187IpLazl+KmHuRSgaunZaKWSUmKV7O8uJlX1lfy11OH+gXLUY66pt23IJ/Vh1vYUNZOYYKBs8cms7/BhEwa/KGmRmnYfaSL0hYLarmUuYWxROmUbK5sZ2xGJB9eMY7qdivfH2hmZ20nS/c0cOrIxH/tbzdEiN+AkGgJESLEfx1mh5u9/Vo3jlLVbhm4838r1nYoWzZwe0fFHypaovRKXj6viIe/K2ZLZSfDk8J4YGGhaLXaYaW81YJcKiE3Tv+TYX+AWAWZcR98fmlgm9IgzrT8luhjYfLNMOR06KnH3NNN7ZEy3t3tYuKs+xndez30NIqJ97MegLgh/kNNNjfbajqxONzUj5xDXunnQac2F5xDWWMvcqkA5hYSo514UyYhqQ20OSFIiIxNRvrGDLElDWDYeWz3nM1ru8z+O/KtPQ4itD8j2I41PDiKz0ObOodhSWE8uLCQ+DA1LreXbpvLn3p+/1eH/LuHa+QUxhuYPzSO4Ylh1HXZMNvdHOkMzrGRCJAbq+f6GVnIpAIzc2OI1Cl4ZlU5TreX2QWxTM+Nob6rl0ihmxRpE0tOUdOplhKhVXBp+F7it4ghn9KeRiK/vpDPz/oQyY7nEY6Y8A07h1J7IZXydExzPyGiczeC102Vegi3f+XiznkRXDopjcpWCw98U+y/cXHVe7v47KoJP9nilB6l5f6TCmg1O/h0Z+D/KyK1CspaLX7BAmLlaV9dN3lxemo7ekkxapicFRVURcmM1lLVbkUpkyIRBHpsbhYXReFwebh5Vha9Li8H602cMCSem2fruf+rQ5gdbp5aUcaCofHMLohhfEYkNqeHcLWc8lYLS/Y0ctvcHEqbzajl0gEhlpnRWl7fWMXuI92AeLMmSq9kQkYk107Pwu72sKOqE61KxsIRCby2voqMKC1nj03ho+1HaO2xc9LwBBKNaqK0Cu78fD91fRkyh5vM7Kvr5vlzRqJT/cY3CkKE+AWEREuIECH+6whXy5lXGMd7W2uDth87bPpfjcogVlX6L4bh53NUfgcKEsJ4/YIxdPY6CVPLMajlFDeauOCN7f75gYJ4Ay+fX/Tzd3Gz54muZYeWiq8l/ySILfjtL9rWDdtegi0vEgacpTRQMOufrO5NoXvSh6h6G0AZRlhSPkMUOo7eww7XyJmaHcU3+5t4qSqWuyc+RMKeZ8DjxDH+JtZ4R1LR2st1Y8OYXPwUyq9XwdxHxBazrmqQyPCc/CLSTU8FBAsg3/8BJ0+fxWuocHl8PLWijNvm5tBpdZH+U+NAkZkQlQvtpZA2GWIKwNaFNzKP2NgJPDsyjE6rmx8ONmGxu3l/ay2pUVqunprBy+cX8e2+Rs4qUFNkMKHTdTFhQRqtLgUbStuRySSMSTMG3fE/dWQiL6+vpKnbztNnDmdYcjj1Xb14fT68Ph+riltY5m3mrRO1ZH1zKUJXFSMB15CzeX3h1SRueHfAS5BVrobm/dDbgdCwm/yZfyYr1sb+TjsP1w1jU60dq1McXO+xu4nSK7nozR1BlVYQW0Z/SrRIJQJFqeFUtQXbAxu1Clr6tbUdpb7LxiOnFOJy+7h36UFm5sWQHatjX103ObF65hTE8sPBJtIidSQZ1dx/Uj6f7awnO1ZHeauVv3xzyF+hitUrOX10Mi+urcDj9fH1PtEpzOeD59dUMCTRwHUzstArZXT3ulh+qJmLJqbyyvrAoP/MvGjkEgmz82Pp6nVR3W7lpGHxtJkd3PbZPv9r/OspQ/hgWy2lzT3MzI9BKgg89sNhv0HAJzvqkEslKKQSzhidzI8V7WyrFr+La0vbqO3o/d/6/9IQ/98QEi0hQoT4r0MmlXDJpDTKW8xsre5ELhW4bnoWI5PD/68v7Y9DqYc5D8L7pwUSywtOgYSi/5vLkUtoNdv5fFc98WEqdtV2+QULQHFTD5vK239etCh1kD1H/Pk9ad4PW14MPHb0ULD7AQ4NfZXLlzQCAtCDUraDpddNIr8v1FEpk3L9zGxKWsx8XWZhW3Mhz8z/hpxYLed/UkdJi7gYDc9vRlm1Qjz36gdh2Nkw4lxcGbOQ62OgYSskjxeFzOGvweMi3N0CBEIE3R5xIP4n0cXAme9B60HY/R7s+xjSJmMLz2Rzg5uWnkaeXF6K1yfOV9w8O4cPttWyu7aLz6+ZwPzYHij9AZqboL0cTdJYpHGzUcpjkEsFLp6Yxvwh8RQ39ZAcoaGs2ewPIrS7xSpAQpiav58xXBQDAqQbFYwtfRihK7Dglh/8mNTU2Xi08Ug7KoNfgyEBxl0l/rt2Cxz+BrkhgVFrruHBcfdyiWkMh1vFakBiuBq1XEp8mIo2S3CVyfgLjDgExJa2Uanh7KrtBkTTg/PGpbDsYPCcyYJh8dz++X5m5MbQbnbwxqZqonQKcuP0bCxvJ1Kn5MvdDXh9cPOsLIYkhmNQi8P4H2yr9QsWgG6bi2i9AoNKRo89MHeilIltZwcbelh+sJkZeVE43F7qu2zsqu3ijnm59Do9GPrMBq77aA8SAe49MZ8nl5eSE6vn6X6ubR6vj2dXlzM9N5p/rKrgvhPzcLi9HDN2xpLd9ShlEt7YVM3iokSUsig2lLcjCCCV/kTvYIgQvyMh0RIiRIj/SjKidfzzotEc6exFJZOSEqlBLj1Opsd/K0mj4cp1YkuYQifaCmt+WwegTquDXbVd7K7tIjtWz9j0iEFzHHbUdHLe69vw+mBOQSxHOnoH7FPSPNA16Q/F7RTzVRQa6BnoICZtL0HmDL7GqWkaDD0VIDeALhY6ysk11bN0USw7etM40uOjQ1CwsdlLSb8wSI23X6ui2wG73wGgPXkB8Z3VULlWzIKJKYA5D8PqB2mXB/tnFaUYf1lmhsoAK/8Cpr6E+tLv0bQWkzTzY+5YUe1fsLq9Pl5aV8HFE9N4aV0lzd024jp2wMHPofkAAJLK1STlHWKj7UqsXgU3zs6isdvOniNdLNnT4HcIU8klZESJWTLlrRbu/+qQX6ReO8bASQ3HVAABd/NhKgpvJLd+S8ByWttnV7z2UfF/CxaJpgt9v4/b+SRXT/iUm1bB2DQjWoUUtVzKnSfkctFbO/B4fQgCnDYikYJ4PQ63xy8EBqO+y0Zxk5nRqRGMS4+kotVCUaqRnFg9N8zM4p0tNbjcPi6bnE5pcw817b2sp40Thsbx2c562i1O2is6kAjinM7R97a718Vfvy+mur2Xs8YkB1kanz4qicRwNfvrTFw8KQ2z3c0HW49wy5xslh0ICKVNFe3ctyAfqSDw4bZadtR0saOmC0GAG2Zm8damGkA0IfhkRx1zC2L9M0P9aTLZmZQVhUYh49UNVdwzP3/APjEGlb9S9cXuBm6bm8OG8nbumJeDVBCo7+oN5bWE+MMJiZYQIUL816JXySlM+B9vY4jI+OlAxX8Dl8fLG5uqeXFt4M74hIxIXj6viPB+d7XdHi+vbwwsjvfXdzOvMI7SFnPQ+SZl/VSf0++I1wN1W+HH50S747FX4QlL4dilrSdpLPs7A1sfna5jUevLaD/6AWIKYchpsEbMn9ECORMf5PGDwzjcauP+k4Jb2I4IieRL5WJIZh+21Bl4PS747Bxw9oma1mLY8gLuk1/k/b1GwIxUInD3CXmM/aUWtJ2VAcHSh9BVQ7K3cYANca/Tg9CXeSNxWaG3wy9YjiIt+ZpHzriEg80mHD1G4sO0nDk6mRfWVGB2uNEqpDy2eBjpUWLVbEN5W1BV7ccGD9bk6WiLPwo6b09YLtdskPLwtI9IcxwmMtyI0mdDWPlAYKfir+CUV8TXM/QMMKYyLdXAAyen4fL42FrdSYRWwYR0I7uvTMDXUQnqCD454uaMV7YwLTeaG2ZmkxM7eF5Pq9mB1+djTUkrp4xMoKXHzvOry5FKBF46byR58Xq6rS5cHg8+xHarqnYrU3OiOXN0MssONRGrV3HOuBTWHG5FIZXg9HgJ08ipbheF+rrSVk4cGs9bP9YwNj0Cq8Md5Dw2Js3I304bwurDrUF/R/nxBj7aXsfMvGieO3skH20/QlevizNGJ7Gpoj3IGazV7OCe+fk43B4EgaCqzvj0CD7dUce+ehNXT8sg1qAkN1bndxATBDhnbArP9KvQqGRS3r10DF/ubuCp5Rv8wvC0kUno1aH5lhB/DCHREiJEiBAh/iVqO3p5tV9P/eJ8LVemVKL/4XWIyRPT4WPy8fp8dNsCi9aWHkefBWwcyw41I5dIuGpaBmPS/tgciMNNPeyo6WS2oYGELxaKVRaAr67FtvCfWCY9SNzWv4LHideYhu+EJxjREs27e7pJMqqY61iJtuoH8Zj8k2Dd34LOn7D1Ya6f+CnXrYIOi4MonYJ2i/g+PLTNx6iF72Ncfx/Srip6M05kXdJVTHY0BwTLUUz1yIzJ3LigkMWTbERoFWREaVH8RMXA5/Oxt66bz3fVc1aSh2HH7iAIxHia+dOkJB75MfB84Ro5DreHU0Yk8FWxiSEJRgarT0a072Dqxkdxp0yiftz9TArv5IzT5TQrc7ErIxiZYvSLn2aTLejYfY1W9o+9gPGtexDaxXBG36hL0GSM5xSXk21OL6XabIarrIz6aqbofNcfWxdoIqH5CzjwGbrEDSya+SgX/2Bnf30Pa0ta+HSWlbAvzvd/pmflnklV5nl0u32sL21DKghkxoiVIIvDzbaqDj7dUUe4Rs7MvFi0Cil/+6HEL7RzY/V8d6CZj7bX+S8jLVLD+eNTeWdzDW9vriE3VsfL5xahkktZV9pGhFbB1dMzaOiykdivKtHS46DH5uKyyelE6RQ8viyQYwSwo6aLSVlRtPQ4/K5k0TolcwtiaTLZOdJh44U1lczJj+H88amAjxHJ4eTHG1DKJByoN5EQrqaq3YxEkPDIokKeXllOh9XJmFQj03NjeHx5CT4fPLWijNcuGMU/zhpBeauFJpMdpUzCe1trg4b8R6cZWVncwtK9Ynuj1enhga+LyYjSMSXnl4d3hgjx7xASLSFChAjx34LHHbijHpYyuD3wb4jL4/VnsCSEqbgjdidx6/sl3W//J1zyA4rIDC6ZlM6u2j3+X735Yw1LrpnArXNykEoEUiI0yP7A9r0DDSbOfnULPmD2xOKAYOlDt/FRPsl/A+O4TzBI7Owx6ZnhSWX+UANhGjmCw0TUhu8CB/g8A86B1004ZmQSBW/+WM37l49jS2UHlW1WThgSR3eUlvUj38DZa2Ztg8BUdTKa8HYGIFOC2khqpPYX280eaDBx9mtbcbi9NLRqeKbwIoyH3gnsMPRMpHve4ZzUOZhnLcTrA5VcSla0FolEYEdNF929LkyRwwmPzkdoOxw4NnuOmI0DyHJPIO2HC8DSCoAmfgzfZT2IIBQwMkW0Yp6QEcUbfa1LR9nUHYlk2tvYWypwS5SEJRdgNst5euVB8uL0XDQhjRaXBlfadOSVK4KO9WmjEL6/3T+rJWvYTvi3lzMt+QX218OsZAHN8tuCPo/w0k+5+ZTTuXqTjL9+38wLayv404J85uTH8GNlJ9d9GLCdXrq3kafPHB405zErP4Z/bgwIdICajl5O0YhVBkGA04qS6LG5eHl9VZCL2MLh8aRFajhjVBKf9QVNfrG7gbPGJDEhY3Ch7vPBqUWJdFkdTM2OwqhRIJdKONxk5sPt4t/4kr2NlLZYmJYTxcv9bh6I7WYqHvlOFIR3zsvlvHEpTMqKoqzFQpvFzhmjxGBSt9dHp9WJRBA40GBCEARGpxoJ66ueqOQSrpiSgU4pY+mehgHXubeuOyRaQvxhhERLiBAhQvw3YG6Bba/AlhfEx+Ovg/HXiPa9vxMpRg0zcqNZW9rG5cMUxO1+JngHSzO0HIDIDKZmR/P8OSN5ZX0lGoWUa2dkUZAQ9pO5Gb8nyw40YXV6UMokuKUDh9k9ci3RBg172lS89WMN0MO4oR5MNhePLyshQiVhbORwdJ19i0W3E9TGoJBIVOEMi5GxemY95shhZCeGMSo1eJGaaBxKo8nGlLEScUbAGQVTboONfw/sNO9vEJH5q17f5ooOHG5xnmFddS+vRZ7BbQtGIuuqEmdcGvdC3Ta0vR04kqbyyrZ2JAI8enIWWbI2hiqcfFAjZcw/Ley58lX0ld/iq/0R0qci2LrE71rcMKjf7hcsAKqmHRRlHuKjAxG09NjRKWUUxOt57uwRPL2yDKvTw6IRCShkEl7ZaWJtqQRwoVMe5P3LxxEfpuLCCamUtph5e3MN7yy4jsld1Ug7y0Eio230rXh9RmKPmkv0IemqYUShOG+UqvMMCPwEcPe0sK8+EgCTzcUdn+/nnxeM4oU1waGQDreXijZLUHikVCIMaKUDMYfovhPzUcokONxeOntdQYIF4Ot9TUzKimJ0qpHUSA3tFicRWgVWu4vGbjvTc6JYVxY4JjVCw5g0Iw63G6NWwZGOXmo6e8mJ0bGmpCXo3HMKYnlhbUXQts931XPLnBz/49c3VXPz7Gw+31XvF02Z0VpunZPDkytKUcklXPbODr9Ie0sq8MTiYUzKisLj9bF0bwOTMyPJjdPTaAp2UUsy/o/kXoX4/4KQaAkRIkSI/wYqV8OmfmnxPz4DUdkw8rzf7Sm1KhkPnFxIXnwdRmXXwEoD+AemDWo5Jw9PYGZeDBJBQK34vxErRzmaueFweymW5pOiCgd7t//3NUNv5M7vahifEcmkrEgON5lJj9JS0mz2hw7uP+lCJjZsEOc+9rwHs/8CG54EUz2EJcGEG9D/cD16WxeowiH+W4gbGnQdaoWUzGhdYINCC5NuhqzZohmAMRViC0Hy66pQxy6v395n5cIIB/HbXglqt7JH5LOnSXwv7hivZUHNY+jLvgRBwtSC83gt5nSuWm7jzUvuRjVTim/Xu4E2uIgMaDk44LnDesqoMI1EpZAgIPDMqnKSjGoeXFiIyebC6/WxpbqTtaWi2BmdamRWfgxv/1jLrPwYYg0q7l0invfyZb1cMvIZJg6xEB0ZyR1rLNypdjFAiksVmH0aoJf1jRIWJk1AVr8l8HtBoMobB7iCDnO4vQPeKwCL3c0VkzN4bk05Lo+PXbVdnDoykS92B8TQkAQDCpmETquT1SUtlLVYePTUIYOcDb+N8fiMSBxuDxqFVGxPrO3m1JEJzCuM492ttQxJCKMwwcAlb+/gr6cM4cFvirH2hUZqFFLunp8XlJ/j9fn8YiozWkdOrI6SZjMeb2AAv7vXiVou9QsWgMo2K/sbTPz1lEK+2dcUVFVyeXxsrGhnZ02XP4dHkAjcOCubbdWd/hDLIYkGRqf9RLBpiBC/MSHREiJEiBD/DRz4fJBtn0HOCaCNDGwz1UPTPjGHJDpXvFvutoO1FRxm0bEqLEXMPpH//F3UtCgtd87LxWxz4vPdiLDhicAvVeEQG7yI0yr///jPzknDEvyLuNvXu5DNeJNJvj3Yulqoj57CQ3u12F121pW28fCiQu4+IZ/kCE2Qw9lly538edLbFCqaSIuNICxlOOTMF9/L2s2w+qHAfIq9W7QOPka0DIrKAKkT/63XNykr0j8EDmBzeeiKGU90eBoycwOMPB/UEfTGjMey3I1RI2ehcg/6PV+KJxAkhBW/z+mTRrClVZxLAhAypotZOeXLoXE3ZM8V3en60WosIlWmQSWT8sRycV5jV20Xyw428+W1E1FKJdz5hTjcr1VIxRmLfnMdkf2Gz10eH6/t7OE14PqZYRS3tPF2mYahQ68g8sA//fuZp/yZF3eJ15io8SJkng9eOzTuAbUR39Q7iVfr0Ch6/ItuAI/Px0UT0rhnScBsQCmTEKlV8unOOm6ZnUOUTkGsXoVUKjAq1ciG8jamZEdhsrm558sDON1eFo9K5NSRiRjUctKjNP6he4CRyeFsqmhna1UnW6s6efbsEdzz5QH/dew+0sVNs7IZmhDGztouPttVT2qkhq3VndjdXqblRBOukfNjRTslTWYyorX+LBkByIjScmpRIhWtFg7UmyhKCWd4UjgSQXQSm5MfS/kxphcAe490Myc/BpVMyrljU7A63awsbqHX6cHu8qCQiUL55OEJ5MTqCdco+Pr6SZS3WFDJpeTH64kLC1VaQvxxCD7fYPcYQvyvMHr0aN/OnTv/ry8jRIgQ/y5rHhHv8ven6CLxTvjcR8RFsKkBPr0IGsR5BFRhsPgNWPcYNO4Sc0HyT4JVD8L8J6DoQpD0q4i4bNB8UHSj0kaLgkfXr5/d3AJly8SqQ+xQGH0xqCNE9ymXDWLy/7UgSGev2HalNop2xL8BVoeb9WVt/GNVGS6Pj2unZ5IYrubOL/ZT3xUYHJcI8O0NUyhIEHNYajusLH5pM5cMVzFO14rPBx2adMYOKyRC29dm5nbie/tEhL65j6N4iy5CsvC5X3ehdpMoMruPiNWbuOGg+fm72z6fjz1HuvlsVx1tZgcLhsbz8Y4jzE50c36mHfX3N4C5GSQyHJPv5GPfHC6quRusbTDyAnBYQK7ErYpid/QiWnoceHxQkGAgR++Gzmqx+iNT4V31FyRlP4BERsewq/hCuYjw6ASeWVlG0zHtRA8vKmR8ZiQmq5Mlexvx+HzsqO6kss3KyEQNF+f5KIhV806JQI7OQZzcSlmvji/LvUzMiuL9rbVIBHhxfiRTDY3IfC5apPF8XqdlUn4azSY706X7CDv4tvj9xCd+fw58Bj4PH494h7vXiAv488YlMyQhDKfbi8cHG8raiNYrmV0QS6fFgUwqoaXHTm6cgQ+21nKw0cSEzEgWDk9AAvxwqIXv9jf5B9ZvmpVNtF6B1eGhpNnMoUYT49LFSt3V7wdmZv60IJ9Hvjsc9L6EqeWcOjKRtzfXADA8KYwp2VHEh6n5YncD7RYHcwpiCdfIyI01cKDBhEwikBOrA0HgqeWlVPYLxRySaCA7Ro/Z7mJkshG3zxfkBgYwtyCW00YmUNnWS4fVQaxBRaxexRs/VnHjrGw6rE5i9SqGJoYRpf+ZPKA/EEEQdvl8vtH/19cR4o/n/49bXiFChAgR4t9jyGLY875o2Qugj4PwFDH/47OL4Ip14uK3od9CetTF8OUVgTmMI1vA0gLDzoJld4kJ6lHZgf0PLYWlV/d7ztPhxCcD2S/6WNpzzqI7YSFyuZxkoRXJ+6dDn0MUcjVc+DUkj/3p19K0H6o3iMYCyWPgx2ehdhOkToZZf/5l1YqfQauUMT03muHJ4eiVUgxqBa1mO+EaeZBoOXdsCpkxgeH31Egtqy9OQLfkQqSdYoXBF5WLkP0BaPveK5kC89CLMBwjWiwZ8zEc74LsPXjayhCcZiSRWRCeDC4HbHkJ1j8W2G/ijTDtLnBZxewdxeCD+YIgUJRqpChVFDhmmwuDSk5bWwvKddeIggXA60a54VHOWpxHh2sWkcYw6O0EqRTcDqReB57OGm74XJyleGymngzb58j2fwi6OJj/OJJTX8HeUYvdJ8frkxDfLLC+ugNZvxDCSK2CU/NUJKicrC9p5cPtdVidbv60IJ8tlR1cOEzDzeofiNjyOhiSeHjSTQirHwS7ibn6eC5a+Bo3bxY/l6dnaZm990bknWJ1Ji6qgHFjnqEgwUBhggHPvi4xy2V9v6pfH9ONndwwM5+sGB1VbVYe/u4wDreXk4fFMy4jktxYHd8eaGJTeTu5sXqunp7JbZ/uo7lHFF/f7GuirNlMYWKYP9zx5fWVtJkdrDrcQrJRzZDEcPbXd5Mbqyc5Qs1nu+opSgln95FugEHzohRSCca+of7USA0LRySgV8m498uDfrOLNzZVc930TFYebiHJqCEhTIXZ4aGhyxYkWEAMo7xySgZKuYTSZgthKhnzCmNZfkj8HFMiNJwyIoEmkx2FXMKyg800muwUpRi5Z34+o1KN/2fzZiFCHI+QaAkRIkSI/wZi8uHSZXBkG3RVgcsOR1u1LK1gbsJrNwXb10oVwYPjAJ1VogByO4J/130EfrgzeN+Dn8PoS0RxAxxsMHHNB7uo67ShVUrZPK+ZsKOCBcRqy/rH4az3j9961rgX3j4RnFYYczkseR1MfTaz5cvF3JLLVoIh/te+Q368Xh/bazp5ZmUZ9V02zhmbzGlFSSSEq3nhnCLWlbay+0gX03NjmJQVOSCMMKzyW+gMtEQJ7aVifsjU2wFwuj283ZrD4kmPkHjgZZApqRl2CytbErlikJEHU0cTqg2Potz3rrhBGw3nfQYSReAzPMrm58QZlxX3QVQezLofUsb97GvWq+XMKoiFdjOsHTiHonKakOdNwWfrQChbDpVrxNcmlVN06lvIpFJyYzSc0PMFsoN9LmSmOvjkPLhsFSqpHNXyO6F2MwvGXsXskSfiKtJisqtx+QSi2ndi2PsqvlYdVcNu5ntFNFXtDu5bepBbZucw0bmZiPWviueddCPCsrsCGTbmJvTfXME5kz9mQmY+s3s/8gsWAEV7MSMsmzjSVUBLj41EZSphlirx+32MXbJLouKV9ZXcd2J+UDbK0r2NXDVNxdK9jXy9T7T1bTU7GJ1m9AuWo5S2WJg3JI4vdzfw+LISrp6WybOrxbmdui4bGdE66jpFITEkKYycGD3p0VoKEsJYsrueJKMao0ZOV29gvuaccSkYVHIuHJ/CxKwoipt6cHt8fsFylE921nHb3Bxaexz0Oj2kRWnodQ4yS4ZoHnD9h3tweXwUpRiZVxjD5Kwo4gwqLE4PEomAy+vjiWWl/ufZfaSLx5eV8O5l4wYVLQ1dNppMNiJ1StIiNX5b6xAh/ghCoiVEiBAh/lswpoG9B5ZeFZwmp9CB2ohFn4lBkICvb0hXOkgonKTvPwuGRLFScxSHGRyDJNb3CRuz3cVfvj5EXad4N1wpk+LoqB24f3u5KICicwd/DSXfi4IFxHYwU13w7011orA6KlpaD4s/UgXEDwu+5uNwuLmHC97YhssjvkdPrSjD6nRzx9w80qK0XByVzsWT0o9/gtofB9m22f9PmURCg1PFwr15nJH/KnY3fL62lxtn9auK9HaC04JPG4O9ZidhRwULgLUN78q/IJn1QOCz6o/bIf7UboL3FsEVa0XR+guwycNQRechtPUTk+OvhbJlSEu/A0EiitbhZ8O+j8HjQr7nLSan38rkeB/hez/te5FKMZ0+PEV0TvvyCvFzmXEfkuoNqLe9hFppwDD+apAqofUAdB9BADJXX8n9s97nlEYJPTY3rT020j37AtcjSINCNwEwNxPtaePVQzYuVW7hWOT1WyD/CuwuL88dUnBH7hhSRl0C21/172NPnMi6rkiePSvRbwLQnzWHW8nob4pwHAQBBMTFusPtxevzoVfKGJMWwfJDh5nWZwGcE6MlQqPg1fVVmGwu4gwqnjxjOHEGBQ8vGsKBBhPNPXYK4g3IpQIur5e0KC3XfbgHr8/HjTOzBzy3QSWnut3KaxuqAbGt7PWLRjEzL4Y1JYHXdPKweNaWtPm/42lRGnw+gS93N5ATp2NxURJmu5sko4bcOD2HGgN/2/vqTTSb7H7b46NsqWznug/30GkVB/v/dtpQFgyLH7RyFCLE70HomxYiRIgQ/01E5cCcRwKPJVI4+VmIyGCLNYHy2W/gNWaCTInVI8Ux4pLg48dcBs2H4Mx3xRazoxiSIOmYti6pAiKzAOiyOtlZG6jMdFqdNBmGD7y+rNnww91gHrhoBMDW2e/aj3NfTdm3sKzfCa/Pgs8vEe/4v7MI2isGP6YfJc1m/2LuKG//WDvgjvpxKThlkG2LApctEbhgfBouj5dXdvbw9t4eDCoZubF6qltMULYc3pwHz42Apdegtw2055XUb6fVKRPnWPqji4GuaphxnygwXDZoKx1w/PH4qrSXnumPiIIQQBcLMhWU9mXO+Lzi/EdYsihMAImlmbFJWtodMjz6RFAaYPaDYlVsw1Pw3S0w9kpImwpNe6Fmo3guR4/YoiUIYnVICCw5kjs2E2dQAdBjd2GL6DfrpNSLx/RHFYZKq6e0xUxDwpwBr6srZQ5L9tTzY0U73xxo48RvBL7TnUrXyW9im3AbtdOfZVfRo/x5VSt3f3mAvPiBjXq5cTo6LMHfgT113SwYGhe07bSRiawva/M/To/ScunkdJ5bXY5GIUWtkKJXybhtXi73f3UIk00UYM09dj7YWsvuIybuXXqAL/c0IJcKpEVpeG5NBSabm8eXleLx+vD5wO31EXPMLMnV0zN5f+sR/2OTzcVLa6s4eXg8959UwPnjUnh4USFKuZTPd4tGExlRWlQyKZ/tqsOHj9xYPTd/vJfL393JZzvruGxyOnefkIe+zyQjXCNH188ww+3xUtLUw40f7aXTKlaubC4Pt322j4rWY4JQQ4T4HQlVWkKECBHiPwGfT1yk7/tQvEs/8nxImQjKY2Ya5CpReKROEudTwpIhOgcEAZlczsJlGs4d+iwpOQJfHnQzIXECt597MjJrk1hd0cWJC+P+jmMA6jBY+Bws/xNUrhJzQ056BqLzAPGOb368nsNNAZeif5QYeP2EJ5Guf1Ss1BSeIoqoqjXQUQb6mIGvM/9k2NHnClW5Rpyv2f9J4Pfjr4XIbPHu/o/PBqoyILbFVW+AqKzjv482ExO1TTw2XcvL+z3UdoqL1HCNHMUvvWOcMxcazhM/C4AR54tirB9DEsNYcu0kDjR009htx2RzcfX7u9l2jgK+OM9fSRAOfYk6ZcKAp7AmTeG+tSb+uuAtojc9gFC3BRJGwtAzYc3Doitb1iwoX4lHpuGXTB+09th5YnkZb2nlfHbKO+hbdyLoE4KqEYGdD4MxHdpK8A47i2uVe3G5XZB2s/gd++FO0eoZoK1ENIGY9zf49qaB53L2it9FbbT4v4BdGUmvy41cKrBoRBJfFndzTvw4VE3bxGrhuGtg28vi914iwzftLmq9UegUvWyRjiE2/3QUhz8HQcCcczrWlBkMNev8IYsWh5vrvu9EEFScMWoRew91c8JQ0cRBLpUQq1eRGqmhtkN0+TKoZCwakUhli5Wdtd3+S++2OpmRm8is/FhKmsxkxmhZU9LG3jpxn9OKElHJJBxqNLFoZCKTMiOxONw8dcYw2i1Ov3vbUSZmRfFnv2Wxm893NdDa4yAvTg/gz9YBeH1jFVdOzUCjkGK2u8mLN1DWHOx+BlDVbmFtSRtZ0TqGJYfz7f5GjjoeZ0bruHVONnKpBI1CSlW7BQSB5EgNF05MY01JK7d+uo/4MBU3zs7mnc013Dkvl8S+/JVWs503NlWjlEposziCntfj9dHUbSN/EAEYIsTvQUi0hAgRIsR/Ag27xVmPoz36xUvhrA9Et69jkashceSAzUMSwhiZEs4bu8XFplQicMu80chyBhEPgxGTD2e9K87IKPWgjfL/Kkyj4JFThnDJ2zv8gXyZSXF4U2KQDj8b5BqoWCWaAcDAO+lHSR4L534C658UHawKTxPblbqPgCEBYgpEBzF7j7hYPpauqoHbjtJWCl/fQHzdNs6Wq5k65m7urRrGuhob956Y/8sdksKSYMHfYeL1gCAu7uUq7C4PvU43Ro0CQRDIjNGxq7bLb/u7MN+ArmPHgNYnoXw5nkm3IN38LPi8eCKy2JlxLSu/66HDYeCDKdegTp0gCokV94nZNy0HoehCHOZOvmkykqHq8g/dHw+P14fD5aG01ckrh4zcqWoR52Zih4rWwP2Jyoa2EnyTbkZiSIJvb0Z+tD1w+r0BwXKU3g7wukQxe2x2i0wpfnZHZ6QiMtHnz+LTDBWy8ARKWqw8uNFCQ9GfmJPdSYygIUHeinL6PeL3XaahM2oMrR1yzhidxLoWC9u5nNvPvQanx8e27jD0Nj2vrC+nICGM4qZAq5PPJy7c06O0GPuslLNidLy7pYaZeTGEqeX4fGLeydI9DSQZ1dwxL5dWswOjRk5enJ5rPtjNPfPz+XD7EdIiNcwfGk92rA6lTEKyUY0gIFY4vjvMe1sCLZFPnzEcQQju1HS4ggUHwMaKdq6dnoXL4w0KtHS4vby+sZrnzhlBp9XJkl11jEqLHHD8xMxINpa3kx+vx2J3s6GsnZtnZ3PGqEQONPRw66fi39zioiR0SjkPfVPM02cM5/1ttX5zgCaTncd+KOHFc0dSEB/mP/em8nZeXV/FZZPTCdfI6e43hyMIoFeHlpEh/jhC37YQIUKE+E+gau2AoWI2Pg2ZM47rIHUssWEqnjlrBMWNJkw2N1kxOv8d3l+MQgsRg897jEqN4NvrJ1Pb2UuYWk5WtA45dlHkHPwisGPyeIg6zkyLXC1my6RNAa8XVHrRMnnDU2L6elgynPwcvozpuIadh2LNA8HHJ40R94/MCh72dztEa+e6beJjl42EzQ/wt1O/oHbueEYkh/GrkKtFAdXHniNdPLe6nLIWC6cVJXLm6GSSIzQ0dIszPkUpRs4ZEYakZ5CYgYZd/Jj7JyIWzqO1o4sdJj2vLxMrVjF6DU7Bjnrj34MO8aZPpzNuCl84T+Bvy1pRyzv4+vpJZMce//OMC1Nx1bRMnl5ZxuZGD55kO9KVf4KZfxbf1775IV/8cFrTFqFOnolh82Pi9qB5Jq/Y6tV/3kYipVediHzKXciXXiFm/wCkTBBX7dH5uKbegyssDaXLhOGz0zE4rbjHXUutYSHJEWpe323mdeSAi5NyJ3J7kYDCbWZNq47H3+/C7Gjj6mkZTMiIpMlk5+MjEsLUcr7d38S8QimHmsxcOjmD3Ue6/Dkmo1KNNJnsvL25hsVFiUzJjqLVbOeEwvigQXyA2+fmIJUIaJUyNpS2svNIN1Ozo3h40RA8Xi+9TjcHG3s42G/+4/HFQ/n7ijIumZQ+wMHr051HuGV2Dk/3WQ1LJQLJEQMtu9MjtTR221hX2sqNM7N5ZX0l7RYnRo2cm2dnc++Sg7g8Xk4ZkcjuI11cPDGNj7YfwenxMiM3Br1KTn6cAbVcSn68gSEJBky9Tro1Cl7fVO1/ng+3H+GGmVnoVVIUMgkTs6LIjNbxbZ9ts8fro9PqpKrdQrvFQUa0lu8PiG6ES/Y0cMvsHP72w2HsLi9SicAVU9J5d0staZFaovWq437vQoT4rQiJlhAhQoT4j2WQIe2fIdagItbw7y0wLHYXKrkU2SDtVCmRWlIi+4soHcx5CNKni5WWtEliIGG/Ks2gHBVi1g744gpo68u1MNXBx2fTef4qPu4cybnDr8R48G2Qa/CNvRJh55tQvR7GXiW6eWn7cmSsrVD6/YCniXc3EJ8R3NpFT4OYR3M0W+Z4pgEAzl7aurq57dMyqtrFRevzaypoMtn566lDGJMWwZyCWPQqGQ+sbmXJ+HC0qZOChvm9sx7k1mXtXDwxndc3m4nRuXloqg5BEBiSnw66FEwT7yFs21PgceGKHUpL0W1Mf6cZt1d8TpvLQ2Wr5SdFiyAInD02mSidgi92NeDKno+0o1S0VB5zBURmgiBFyJrFnnoF0a1VjBIk4vvRn5LvYML1opNZH74pt6M019KpTER27vd4WsvQqBTIdFE09zgo7VQjU6UwXtqEdOnN/uNkm/5OwQQd10xbzMc76thfbyIzWscJo7L4otnMu1tsGDUeDGo5ZoebV9ZXcdvcHN7YVM1Ns7IxqhUsHB6PTCrh0klpvLe1hvHpkZw8LAGlTEKSUc2NH+8F4IvdDTx39gi8Ph8GtZyCeIO/KjMyORyTzc0/N1ahV8r466lDuWiSQH1XLxIB2q0uLp6Yxps/1vivfVaeWKGs67Ihlw6sHKZFalHJJfzj7BE0dNlwe7wUN/UwPTeadaVtSASYnhPNBRNSeWdLDd02F6+ur+Sx04ayt96EzenhH6vK6ep1oVVIkUkF1pS0khGl5dY5OeTG6llb2opUgPhwFX/5pphonYK/nzkctVzGP1aXDbimPUe6efTUYby0roLiJjOpkRrumJfLC2sr6LSK7WwVrRYe+e4wl05K5bSiJPLiDShlEnQKCVdOycALyCUC3x9oprTFzNljUkKiJcQfQki0hAgRIsR/AhnTxcVl/9aiybf+4irLr8LWLbZfaaOCwhzrOq0s3dPIV/saGZEcziWT0ihM+AUVirAkGHWh+ANgN0NPkzg7I/mZaYyehoBgOYrbgam+jCe3qvk29kRunXEaU+XFKDc9Gcip2faKWIXKOUF8rAwX50AajgnT1cUGP+6sgU/PF6s1IDqvXfgVJB2TZefziS17dVuJbi3ho7xYvvBM4Ykt4mDyl7vruW5GFiNSwumwxnNT38J5qSmLxdknocqYDl43xA7BljCJGH0xL62r4OVTkhjT/Cma7S+DIOCT3Ygw9gpME26kLftEcPbiNqRw9jsluI/RrGrF4O9lXWcv60pb2VjezpScKGbkxrC4KAl5V7lYYUmfKlZNdr4Jsx6A8BTGK5wckRTgKutBnjMXjmwNnLD5AIy+HE58qq/a4kNoK0Oq1BO98wG8w85ma8zZHG62UFzWQ3F9By+PqiVt1wuQUDTg+uIrPmafcSxxBhVTZkTT0mOnqs1KmFrOdTOyONRoQiGTkB2j541NVUgFePWCUbg9Xl5dX8XIFCMTMiPotjopaTazt87kP/dJw+LJi9NT0ixWrqwODykRGi58axunjEhk/pA44sJUbKpoZ0NZGzfMzEIQoLG7l+1VnYzPiuSTHXWcPjqJ4cnhjEwxUtpsJj5Mhdvr5Z4vDyARINmo4dY52bi9PqSCgNPtpSDBwEvrKjHb3Zw4NI66ThvfHWjiqdOHsmhEAmEqOa9trOLq93czNi2Cl88bRUWbhfJWC29tqsbab3blvPGp/HBQ/G7bXG4idQrWHG4h3qgmNVLDdR/uYUpWFPOHxiERBKo7rCQbNUBwG19WjI63f6ymuG/2rLajl7+vKOWiiWlUtVmI1atYX9bGycPjcXng2g8CoZiXTU5jZ00X++pNQef0eH/9zZMQIf4VQqIlRIgQIf4TSCiCi7+H3e+Kg/ijLhKH7X9rajeLQ9Yth8SKyOy/QEw+dpebp1aU8dVeMcOiotXCmpJWllw7kdTIXyicfD6o2QQrHxBnT0acB2OuBKcZetvFeYjw5OBjlHpRODiDXYq60AEeDrf0cqBVypzKR8HaHnxsa0lAtKj0MO9ReP+0wLnyF4rD7f05sjkgWAA8DnG4XyIDVThEpInbG3aKLWvV6yEql9jhZ3Nux1q+iplGaWsvGoUMuVRAp5QFuZLdt97C1ymFnJUjMHdYKrqYVLTAk2cMY9mBJjJNG9Fsf9a/v7DhSRzhmTxWU8j26i4WDo/ntKJwrpyWwf3+gW4oSgkfdCDaZHNy75IDbCwX35sVxS1MzW7h+XNHoozJE4VvzUbo7YL5T0HiKP+xGREKhGl348OHMP8JWP0QSGS4J96ErHwFJI2CrS+LLWDmRtj5Bsx5GMm6Rxl/1QIU0nBMNheLYjykrbse5FrIGuj85QzPJDHSyA9b62mzODhrdDJPrSjlrhPyuPOL/f6ZEIVUwkOLChAEgTs+20+H1cGJQ+OZnB2J2e7G7HBzycR0FDIJr26oxO7yUtJsJitaR0WrBYkgEB+moqHbxpSsaFIiNEgkAg6XF5PNxdj0CF5eV4nb6yMnVsdVUzPptDqZUxBLvEHN4aYeOqxOsqI1PPzdYXqdHmQSgaunZ9JosvHmjzV097pIMqq5Z34e130YmBN6ZX0V107PJNmoRqOQ4fL4eOvHarZWiW55Gyvaqe6wMi0nmm/3N/HY4qGsOtxKbUcvM/OiGZ0awbj0CCQCVLZZ2VLZQWqklkitApvLw9NnDGfp3gbuXXKQ1EgNt83JJStGR7RO6R+gj9YpmZQVyduba4Lef6vTQ1qkhvquXj7eUcd541LosIgZOv1588ca/nrKkCDRkhSuIivmV7aYhgjxLxISLSFChAjxn4BEIg6p/1ya/L9Dezm8vxhcoqMSZcvA0gYXfEmdWeoP3TtKp9VJeavll4uWloOiaPA4RcFlTIWvrhHdqDJnwuqH4aSnxTTzo0Skw4lPwtJr/JvsIy6lWkgBxH79HS0+rPHj0VZ8G/x8UTnBj1PGwZXroKNCtO2NyQdNRPA+Xf2yZSRSUbTtfg9WPygKqPlPiu5hK+4XBQ6INr8d5YRPvIGn5kVz9TetXDk1gySjhsZuG95jAgK3HbGgUkUxf2oSXq+PrdUdPPZ9CRE6BbdIjnkNgHDoCw73pFDZZuGZVeWUt1p4eOEQMqN1HGwwkRiuZmRKODH92v7sLg/76rppNtn9guUoG8rbqWqzMjJFAbEF4k//66vqQN+5n4I1l/kH7r2jL6d28fe4JCrW1Lq4ZMwolI07YejpULlWzGuZ96hoFmBIwOd2MDojEoVCirZsiyhYnRbxszYkBlrO5GoOpV/C8p2dnDIikWFJ4eTEavnbaUN5b0stPh/olTLkMgmdVidymZTbPg1kuqwsbmFiZhT3LT2AzwdT03WclSPw0RkJ3PRDJ0/M0BJlOsD9CTa8ccO4eXUpF05KRyIReGaVONOSbFTzp5MKuP7D3ZxalEicQYUgwO7aTqbmRLNkbyNPrRBbrdIiNSSGp/Hnk/KJ1Copae6hrNnMoYYe/5D6NdMy2Vx5jFEBUN5q4fqZWTzwTTFdVicnDInjyqkZvLZBNI+o77JRlGJkWHIYWyo7KGsxE61T8tqGal7yVvLiuUU88t3hoNmZy6eks2h4Ag98fcg/VC+XSqhqt5Bs1HDfgnyOdFrx+mB4UjiN3TaUMkmQSxlAU4+Dr/eJlZyuXidnjU7imK8tPh8khKu564Q8vt3fyLj0SM4ak0xC+HGCYkOE+I0JiZYQIUKECCHSUREQLEdp3AXddcjkGcglkgEWrr8qWK6ttM8NSina9X5/R+B3lWvF7I+1j8Lpb4Oi30Ko8DTRWrmzCpcmlid2SzE1OLlgfCpf7W2gptuNaeYtaNr2IRwNoxxxXlDVwE9UtvhzPJLHBP6duwAOfB5wKXOYYenVcNE3AcFyFKcVBAnrKrp5aFEhY9NEMWRzethb180pIxJZuldcqCeEqbhsSgZqhZRDDSYuenM7Lo+PSVmR2GKGoq1eF3Rqa8QQmusC1ZrvDjRx46xsJmVFMSlr8NmgtaWt3PjRHv5xWg7nDQ/j27JeTDYX0XolN42Uk+4oAVPygByYilYzn285zF+tfwtyCJPsfB1l/EyWdmZT0+HCk+SG7hqx8gfie1S7GU58CpvLQ4svijRgWFI4dmuKGHxasEhc+U68AZxWbOpYttuTuHW1mw5rD6Ze8TPNjtXTZXXy4bZaXj9BRYF9L+GSXrzxI7FxmFvH63lmmxmfD6bnxvDe1hp8Pnhsho6T219Hu+EbUOhZsfAVlMuuRTD3iW2JjIdmv8smkyMoiLGuy8Y3+xp59NShvLyukqp2KzKJwPnjU7A4PCw72Ozft6ajl23VHfQ6PdwyO5tX1lcxOz+Wijax+jAsKYxNFe0kGQcO3E/NjuKuLwJVvG/3N3FaUSKZ0Toq2yxIBHB5vahkUj7dWY/b6+MwAQvxhm7bgGH/97bUMiM3xi9YChMMTMmO4oU1Fbi9PgwqGXfPz0Mhk1DS1MPuI11cPyOLv68MzLucMSqJjf1yZ/bXm7hyagYxeiWt5oDNcZROQXaMnum5MVwyKQ2lTIJwPBfAECF+B0KiJUSIECFAnGVoOSj26McWikPJ/01YWqG9DDxuMbfFkDBwH9Ug8ylyDSg0pBg1XDs9k3/0c1wqjDf8pPtYfVcv9Z02DGo5mdFalEfnb9Imi8Pc/fF5oaMcumvBYQoWLXIVJBZBYhEel4fK9btYXyba0y4elUSv08P3LTrcWS8zTNNBlNFIXMZQDPpjqii/hKSxMP8JMQslOhcOfz1wH1OD+L4cI/Dshky+2+OlV9HJ5D4xERemwub00Gl1csvsbDw+Hz02FzE60V65vNXiD7osSjGyVTmLWbpPxM8L8Ori6UxdQPPGVqL1Sm4ukhMvNxPrbQUGf+87LA4+3VrJd/MdZO66kgWObm6aegXlETMocB3EuPJm2G4WTQrOeFv8PPqobu9laAQoKncNOG+4u40Y/RCeXV3OPcPC0ez7KHgHpwWvx8G3hrMxV1qZKrWQFaNDFZMt5stsfVF0FRtyBrZh5/N8hWiScNFEKRlRWkakhPsX+5sq2nhgLKR9fXHAuUyQoDvjba6NPEzU1GHcu96KXiVaBBfG6Vhk/xp1ed/n5XWhatohtq0dxesmu/g59uT+Y8Br21XbRU6szm+m4Pb6WLq3EbVcnBNSyiRiscjjZW9dN5dOSmNfXTdnjk5mTUkrs/JieXtzDWq5lK5eJ3nxBowaOV191RelTMDmHGh3vOpwC6eMSKSyzcJlk9OxO9yUNZvRKmX+UMqjqGTBNwhyY/XMHxpHp9XBdTMyeW9rLScMiePvKwKCpMfuprTZTEqEhm8PNJEaoSEvXs8r5xdxqLGH9CgtX+5uCAqGVcokJISpuH5mFp/sqONQYw8F8QYumJCKpm9uSiX/JclAIUL8toRES4gQIUK0lsB7pwYWOJoIuOBriB/6x12DrUu8DrdNDE88drbj36GrRnTgqt8uPjamwzkfie1R/YkuEBeXBz4NbJvzMERkIBUELpyYSkGCgS2VHeTE6ZmYGXlcJ7LdtV1c/u5OOq1OJALcPDuHq0cMQZFQJOaMSBUDD5LIRTvko2ntg6CSS7lxVhZbqzqo77Lx1o81ZEZrKYg38HG5l8da5YCF1y5wMjf8V7xHPY3iZ6CLg3FXQe58sXqy7yMw1QftWueNIHL6A2hW3uXf5smax0FZAUUpHjZVdCCXVnDKyEQyonXcf3Ih726u5o1NVYRrFDxyylBy+ly+ZJLgO9XXrrTzwOR/MlzRAAjsdSRh7YwgMczEe5Pbydh0u1jx2WWE098U2+qOwet28tw4M/ovL/GHhMSsvxvd6R+i+frqgJmDtQ0+u1hsmeuruISrZXzW6OWM5Cmoa9cGnbdbGU9OmI5x6RGUmBXEydQDMmdqbRruWmvhptlubv10Lw8uLCSjcy9hG54I7LT/Y5ThqURqzqTd6mZsupHxGYGKUY/NSYfFgdH+Y7DVss8L215BNvICFkW5WdkYjtxr56KJqZwQ2Y76uyWBfWUq8X06Brm1hUT9wOrAxIxIVhW3MLcglsIEAx6fD5fbx6jUMJ46Yxi1Hb14vD5iDUq0ChkqhRSNXEqMXsXYNCMKmYTKNgtbqzq4ZXYOr26o5InTh7OvrhuH20u0Tom377OQSwW/UE0yapiSHS26+umVfLGnnopWKxdMSOWFNRX+60uP0hJrUPmF0MjkcEalGXl+TQUer49wjZxbZucMEDq5sTpy4/Q0dNvJjNax7GAz68raePWCUahkEsJUMvSq4KXgnSfk4vL6eOibYmblxzIjL4aqNgt/XnqQggSDP+8mRIg/mpBoCREiRIiSb4PvyPZ2wp73If7xP+b5e5rg+9vF6wDRVeu8LyB+2G9z/oo1AcEC0FUNez8QBUn/9g5NuDiXMPwssZqgiwFBKlagYgqI0CqZWxjH3MK4n3y6rl5x+Lu718mFE1KJ0Cpwe73sMWkYd8Y70LhbXOwe2RI4SKYUW8DSp4j//glGpUbw7Q2T0XWXEm4uRS50grucU1P2UTb2ZK7bIOVAg+lnrxMQBVT5Svj6enERH50Pp7wcCOc8+Tn46Gx/Rk5nwYX8fZ+CTnsOjyz6nFhnHdV2HeXSbF5d18HBBnGRfaDBxIbydp47ZwQKUzU3xOzjjrkOJPHD0KZGgkTA5RYHwLNjdJS3WujudRGhVXDvOisQDoBBbePBhUr+uSCMjK/PFfNmQBRYn18KV20Q50n6EdW6FaF2RXCqIaDpPDxAZGBto6P5CO/t6GVfvYkTCmMZl5NErf4ucs21CJ1VIJHSVnQLj+1RMiyzmxdPScXkktI1/i6M6+/zn8pjTKdBnso9J0bz8fY6Ktss7KztJL97w4C3XVK8hJMXLMITnkG8MVBVO9zUw5PLS6hotXJaYffAz8veA2Ur0OSdyOvGtUjainFkXo5clSyK/aMtbbYu0dhhzOWgDhdbE0u/xzP8XIZ5DvPlmYmcv7STXqeHvDgdJ49I4EhHL2tKWtlS3kyMVkpRZgI9dg/3LTnonwHRK2VcOyOTx5eVolPKeHhRId8daGJyVhSTMiMZmRKOVinloUVDeHltBYebzcilEiwON/fMz+P+kwpoNdtRK2S0me1MzoqitceOzeWh1+lhdn4sWyoPs6O6kzvm5dLQZSM1UoMPMQvoxlnZ7K/vZkhiOA9/W+x/W7p7Xby9uYa/nRq40WLUyLl2utgKdqSzl5xYHfecmMcTy0rZW9fNmLQI6jt7kUsl3DY3B4fbi1oupSjZiBcfuXF6EsJVlLeYWX1YrPxpjuNQFyLEH0FItIQIEeL3xdIKddvFhWpMAaSMH9BH/39Oy6GB25r3gscD0j/gP9L12wOCBcT3bP0TsPh1sTXq3z7/joHbqjeKC+Bjz6+LhrhhsONNKO1r4ZLI4NxPxTmUX0BXn/XsFVMyWFPS4u/D/+eGaj68YhwjC08Blx0u+hYOfSnaNmfNFi2Jfy6/pY9sZzF8tjAQYhiWjGH4WYxeez7PTPuAzrBf6GjUXipaHB9dzLcdhi8vh0uWie9F5ky4aiPmpjL2d0h4v1rLD+ViW9iMOoHvbzwdm8VMmqOLs4YY+PMEJcUdXp7b1sPeum68bWWkfHMuEktgrsJ93hJkmVNptzj42w+HOWN0MicNi8ft9fKXhYU8v6acgw09ZEbrOH98Cg98fYjXJ1sCguUoti5R8PYXLZZWhBX3QPa8AS/VqzQgOTaiXWlgQ4OXf/QNpa8taeXyyelUybVIpr6AxmuhzWfgx84wzsnvYrRvFfIt+4iKzMKZMZlyxZtEt25BG5OORKll8o5byck4FWfmWLxZBuboapFFTIGGLcGubBEZdLQ3k6xWQEUtKHQ0ylO58r3D1HWKw+Ky1HGw85jrzVsAW15ESByJ1NYOTXtRfXs9TL0TRpwLzfvEfJ3wVHxyDULJt2BuFt33Fr+BtGIVEev+SoQmkvUXfs77NToaumxc9s5OHj91CDfndZFb8Sbq3gba3Rey0lQUNLRudrip67QRa1DS0uPg6VVljM+I5C/fFHPeuBRqO6xsqujg6qkZdNtcONxeHG4v8WEqzA53UPXk9rk5vLi2kgMNATeuxxcPJUavYFt1J9uqO8mO0TIiKYxOm5OkCA0JYWoSwpU0m44JmkW0Lzbb3Vw7PZN3Ntdw57w87lt6EIvDDUBZi4XXNlSxuCgRr9dHU7eNr/Y2sLEi2DTgqmkZLB6ZSFa0js921pMWJQ70e7w+0n6p6UaIEL8DIdESIkSI3w+3XUxt3/ZyYFv2CXDqK6A5fgvQH07+QnHx3J/h5/4xggWgo2rgtvptYmvMbyFaMmfAvg+DtxUsOv65m/YHBAuIeSLf3gqXrxIX8j9DpFbB8KQwlHJJ0OCwzeXh+TXlvHTeKFRylVhVSZ/y61+P2wEbnwkIFhBDJz1ukMopsO3CPuIXnrezZmD1oaNCnK3RRYuVqJg8dnVFcPGKHUBgjkUmEUhyVKDd/DAY4hiiNiKsfI9xcjWnz76LOw5nYmzdIQoWuRpyTwRNBJI970HyaPRqOaeMiOfznfVYnG7SIjUopBJum5OLSi6hyWTj9Y3VzE5TkB2pgKl3iG1PBz8XXboU2oEiz9ULHZUwNExss7P1zSoIEo7I0lFO+AvxW/4iCgGpnK45T/O35YH3USGVMC+ihdHbbxWrLAod3gkPMzphKmMP/RNJcaAFS5E9l8Qp99IRm0v40tPA0gJATGsxV572FvJVf4I9daIL25jLQR0hWkSrwiBjGjE6Obp35vivMTL/NOalXsjrnXBGoR7lvhfglFdg+2tiq17BQmjaJ87iKPTijNZRDn0pzuZMuV10edPFIHxxmVhJA/GmyaZ/QFZfO11vB0Lpd3y0dwKtZgdyqcBIRR2Zy873V9Wimu9g7qT7+YdhOC09AcHY1etEr5LT0uOgrtPGohHi39EnO+p44vRhjEgxYrG7OGtMCo8vE00cFgyL551+wZQAHq8vSLAA/H1FGS+eW8Smig4EQZytiTIoWVHSzNi0KFYWt6CUSVg4PJEko5r6Lpv/2LRIDV6fl311XTx15nCq2ix+wXKUJpOduDAVdpcXo1ZBUaqRKL2KJKMaj9fHdweayIzS8sTyUlb1VVcONvRQ3lLCkmsn/jrjjRAhfmNCoiVEiBC/Hx2VsP2V4G3ly8S72ynj/2+uaTDSp8DMP8PGvrC8cddCzsA71b8bx1jOApAz/ydnO34VaVNg1MWw+x1xsZpzAhSeevz9ezsGbjPV9uWb/LxoCdMoeOSUIXyyo37A78paLPQ6Pf/eIK/LDp0VA7f3doDSgEGtINxwjA2r2ym2xXndopPVUVMA7SCvRxUGjXtBH+evCmbF6Ig3qGjqy1yZkq7nvilhaFfdKX6fEy5G2PSMeLyjB/2KW3lo4Qf4WtsgMqvv/X8XrG1ICk6B1sPoDi3hka4dXDV5Id/YhiEJS+C51eXcNCubHTWduJwuXpyjIaXsLaRL3xfPLQgw/V5QrIRpfXk65hbxO6QOx6uLxzfkdKQ/PguTbhQX+y4bvelzuOI7CWr5UJ5d/APtzXW0EEWrLYVWc6n/pZ89RMfI3XeKggXAaSFlw60knPtlkGABoHwFqpEXEuNy+gULANlzkG9/URSSIAqHba/Cqa+Kf/eCQDtGwg68A/Zuv6mB8vCXnDfnRE5I0FIgLUEqnwO2Hph2t2jcsPUV8fOYfLNYjeyqCTynXCO29+16G6begdvjQeY9ZvC9aS+MvxYiMqCzCrW1gTvG64jx9WIW9MRaS/yC5SiRe1/m7Py3eHZbQLQMSwpj2aFm//eirlMUsj6gqt3KC2sqOK0oEa/PxlVTM/j+YBNxBrHS0h/3sZ7CQIfViQ94Y1M1AnDz7GxWF7cyNi2KR78PhKx+d6CZp88czq2f7vPPtNwxLxevF84ck8Ltn+7jymkDzUQUUglpUVoq2yz02FwMTQznh4PNLNnTgFIm4YaZWRQmGHhjU02QNbLD7f1/7Z11eFxV+sc/Zyzu7mkqqTd1F0qFthSXIgWK+7I4LMuyuC6uP3SRAkXLQmmhTqm7WypJmjTuOpn7++OddGaS1C0t5/M88yRz58qZe8+9c77nNXYVVNLxUIrJajTHCS1aNBrN8cNe08SvXpZXN112MvELlyJ7XS4GDKkSfrBK7ceS+F4yQ7zgZRngxfWC/reD2Xps9h8YA2c9C31ulP2HtpLZ6P0R1kYGx+7Xrt1YCVI/RLrEB5NXVsNni3d5LL+wRzyhRxvI6xMEPa6GGY94Lg9NgcoCTK3P8FxevhcWvA6L35Lv3+EcGPWk1ImJbA8D74IFr8i6SsGAO2H+C+DlB90uA6CwvJbrB7eSIOmkAtpsehPb9HWQMkzSKy99r0kzw7Nnk5FwLsGRifDTnc7q8cDyj+T/nfOhMJ2E3Yu4ofdNXLNxPJf2TuCjBTvpHmniqdg/icqzwqrPXDs1DFj4pmT9+vwiEWEdz4WUM8DiTbFvMquir6F3HQTMfR4jvB07ej7MG6vDuGpQGN4WM3OK7fy0xcGK3cVcP7iWmCBvskvknuwZXotl8wbPL2IYOKo8LQIN1Nnt5JTXk+S+MKqLTAA0wlFTRk5AFzIdYYSHRRCeuxCGPQTVJWKFyVhEkpFFq9lPyPcCiO8Ng/4uSSNavy5xVrXVUqDUnS4XweynQCnKYgeSWVhJh8YN8A2FnDWQdiXYq/CO7MzFhX9I/FpJJvaRTzb9glZf0pLCid9Sh9Vs4rpBrfh5zR4MA6IDvbmibyLP/LIJs0nxzJgE4lUWAy8IpTowijsnr8FmMTGkXQTFFbUMbhvuUTPH22rGYlIe4mV8txhyiqt4/JyORAX5sCWnlLKaOuZuyfVoaQLM6gAAUJNJREFUVr3DYMG2fP4xtgOFlbVU19Xzx9Z8EsN8iA3yoaK2nrmbc5nQO4Evl2bs2+5vI9pgGAY2swmHYfDe/HS27JViq7X1Dspr7MzZkk9KhB+jOkWRVVzFdyskVbe/lx4yak4uugdqNJrjR2gKxPcVV6cGAuMlYLalYTLJIPZk4BsGQx+QgZe9WrJ7+QQf22NYfSSV86EQ3QUu/FCSA1QWQOszpciizeegm7rTp1UoT57Xmed/3URFbT2X9Irnol7HKJ6p84XiVrToLbGa9L9DBrrX/NK0yv3OBbDwddf7jVMhJg2G3CPirf9t4BcJ1YVg9oI1X0ocxO4l0O0ySqvq+OfUdazOKOHdsUF0/P0qGWiDDHht/hAQ6xmzAZgCY4kL8cHYlokyHB6fseFH6HqJuD4phTV/E/f0uYhl5d7klFZzw4A6ouY8D0Pubfrdq4sha5mIz77OopsrPoE9KwkFOo54nbsqJ3HXhX9j6oZiPv+5nMraHL5blcOFPeJYnVHM+T3iCfa18eWS3dw/uj17SqpYk1lCt5QgWBMDZVJokNAUCIihxj8Oa2QnVK4r/ssIb8vG+jjq/W3EBSVjKdkpH+RvxojtidrjmTbZZPMjxGRw1e+1XNS+kJvKclArPnGt0Pt6TD6hLsECEo+Vt0nOb2k2rP9eioZe8H+wfZbcL6EpsHaKTJL0upba3G3Mr+xOu66XYV7jTMuslPSRtV9B/zvhl3sx11VKFrvB98Car7BU5csERoVLWBQPeIhNJVb+MbYD2SXVzNm0l+sHpTBpYDLBvjZmb8qlZ1IIzw21ETfnDszZK8FsI7/P/dw7dDT/mpHB9ytl0P+3M9sQHejN9PU5JIf7Ee5v47XL0njlt61kFldxVudozkuLZdLHy3h1Qjd25JeTnl9B+5hA1meV4GM1U1Xnsh7V2g0+WbiTXQVi6bl7ZDt8rJZ9yTVW7C7Gy2qWIPs6B53jAnl7znZWZ5YwoXcCSWG+LNlRuG9/E3onMHtTHpv3urKunZsWS1pCML42M+1jApv2RY3mBKKM5mZBNX8ZevXqZSxbtuxkN0NzOpO/FZZ+AJt/kSroA24/9MGzRijNlliFgNjDFg5HRUkW1FXIcb38j3g3WUVV1NU7iA32xmY5PAtWUUUta7OK2V1YRWKoD13igl0pVx0OSVVstogrVwMF6VCUDt4hYkmZ/g+xbrgT1RmumyGCxzDg98dc1pYGzn8Pul3K7oIKhrwwB4CfRpbQZf4tTRt68SdSeLLOGWPgHyVCb94LIk7mPOu5fng7yQ6XPhcG3w2bfoGSTCo7X84Kv8G0U5lETrteLBHzX/SMu4npCh3Pl6ryKz8DR524+9kC5Ht6B7PxvJ/5cjN8stDT0hUT5M3ANuF8szyTnkkh3HZGa3olhRJorhVXs/wtEuu06itIHiBZtyrzqWl/Ptm2VsTv+BrLzrnUJw6kpOMV/Lg3Ch9vMx2seYTn/olP2S5yIwcQExVF0A9XuVwNu10m/+9eSNa4z9iZX8bAeVd6nhOTRSyCvzQSauNelsKV66a4liX2l/i4rKUiUk1mERyrv4LsVWRcNhtqyknInSX3jsUb1nyFI20ipvkveqZSNlvF0vrna5Se+zFlGevwqcrBaDOSdO+OvLMwhzmb86h3uFIW3zOyHYmhvlC4nZ4+2UQYhZiK0mHp+/viaHaP/4p3dsUxfX0OUYFe3DS0NT+uyiIh1I+sokpmb84jxMfK/WelUlFbT+twPz5fsps/tubz5hU9uP6TZfRpFcr53ePYsKcUb6sZpeDdeekYhsGLF3fjoe/WYjWbmNAngb0l1UQEeNE6wp8F2/P5Za2rKObNQ1MI87fx1M+biAny5sp+SYT72yivsfPjqj2sySzhrhFt9yVk2HdJFHw8qQ9to/yJCTqBz54DoJRabhhGr5PdDs2JR1taNBrN8SW8LYx+SvzvbQFgOUYuT38F6mpgyy9SOb4iD9qfLQPhhorudVWgLMfvnAbFHZPdxIUc2WCnqtbOG7O38cEfO/Ytu3ZgK+4b3Q4fm0WsY8GNLDe7/oQvLnUNSgfcBdGdm+48sT9YnO1SCrpfCTvmScA2iAhwFl0M9rXRLSGI1Rkl1Kpm0jFbfcRiM2EyZCwGDBEZxTuhMF3iSpxxFA3HMwb9HfXz3eL69Pu/97lM+s5/ikHdJ1Jv9pb008s+kmu+6G2pF5PQT4pf7pgrA+QG1n4jLoW+oVBZSJg9j1sTKujh58czS+zklEqsRusIVwzG8l1F+HtZCbQ6YOtsyF4JVcVSm6bPzbB7sbgu+oTgtWcpcQkW3vW+DtpdzeKMKkYWxPDyzM2UVtsJ8bVy14jxfLUxg3s6pvL43B18cMEn+JTuFHG1fZbz3ED45s8piR7jantgLPS6FuprMcw2VL9bYfE74kJntorV0V2weAVILFJsN7l29bUiXMr2Qo+rwJhIQqANIySNams1tt//gWnvGiqSzqTKvy3h7oIF5FoZ9VBXxfq8em5e0pVrB55DQKmFopzKfel+G6irN6ioraeXVwaRi64UyxfINR7wN/jjP3KZi9L5c7sXkwYmM65LND+szGbWpjzAVX0+v6KWmGAfArws7C2tJirQi3tGpTJ7Uy7h/l6kJQRz3zdr9q2fHObLo2d3wO4wqKy18+qENJbtKmLa2hxq7PWM7xpLYWUt9npjXxpjb4uZ9XuKKSivJczPyjUDknlpxhZq68X6N2lgMmalmvXkdRgQGejVYgSL5q+NFi0ajeb4YzLLYOp0oCAdSjPBN1zc3I6nCNu7Ror/NbDpf+LOMuY5GQQuflfiTAbeIYNZ0+mV2Sc9r8JDsAB8uGAHF/aIo1NcMwHBlQWS5cx9UPrnKzBpmqS8bRAkAbHQa5Ln+QpvC1d8I5nDzFa5tt4S9xPoY+Xxczpz/X+XMafIn07RvfDOcbNQD3tYYkoKtsGcZ1zLB94lrmOL3pIAcJu/uDBFdabEFER1tzuJNHtjahzjteYrzP1vEytNz2vESpN2hQipyI7gHSjxOY3ZtQBie2BUFhG5/gPY+BPnWrzpfvYXPLcmnKUZpVzYM467v15NsK+VR8Z1pGu0F6z8HKY/JMIpIEaSUsz8t2TumnqHnM+w1ljDWnNLxRwq6uCCvhdx3cx0SqvFlauoso55GzL4fLwfZvtWfHsFYs74FfI3NsnM51W4mco2N8OIf0tyh7C20rc3TkWBxFQN/JuInH63iVgb+gBgwN4NYqndOBVmPQk9rwZ7nbgA7nK+AFLHYh/1DG9uC2Gv72PcdEkIuSUVhOIg3DvI5d4Hcr2VmZJ+9/PT3hDOTQskPsSXf/+0not7JRDkY21StDEuyEbI2vddggVElBr1cp1ryymxhLOzoJKiyjo+W7SL1Oggj8KSABEBXmSXVPPq0gyW7y7ijQlpZBZX42M1M65rDJ8t8rSU7SyoxMdm4d2526mosfPYOZ2YuTGXrGKx8CWH+/H7hr1EB3nz0gzJruZnk7ox+eU1DGobzmNT1+8TLAAfLdjJ+1f1QimID/Yhs9iVkWx81xiSQnWaY03LQIsWjUajOVTS58BXE2UQZzLD6GdkZtd6nGYhC5rJkJU+Bzb+BD/f7Vq2bQZcOwPiex6fdpwkKmrtzS4vb1heVSIDTpuv633exqYbFGfAZV/KZ/V2iEgVK9Xid+Sz1sMhoQ/4hcmrGbolBPPjbQPJKKykwvYutoIVmIp2yDmP6yUCKDAWWo+A7b/LRuu+kaD+OU/Dn86YmrTLqTf78GxmH37f1ZspQwto1fhgXgFinakqkqD2iz+RQomhya51orvC6i89twtNoT4gAXNcGvz5KgTGQf/bSFz/Lm/UlWAfdz1Ga2/S7h6Kt9VMTLAPZK2En//u2kdZtsTZdL0Mcje4BGCva2HGI5gMgwAgYOOXPDvic875ST6+qIMvT4T+jM+n74Jh0C80BTXsYTCbPEVLdFfsQ/9Bz+otMPMxV7KH1LHy2vyL9PvgZImH+3aSy+XON1RcxaZcLe+DE6W9gbGSES7DLXZu8y+olOGUVvXnqm4BJC17itZbp0FIEnWjn8M67V4RTBZvHONeAd9Q/It382DoDuaUJ7Il30p1nYOpq/dw3aBW/Oc3V3rlQW3CCbLaseZ6xjAB4q7oF051q5F8vzeStAQraQnBfLRgJxGBPvzz7I68OF2sUxEBXtx1Zlue+GkD1w9JYWRqCK3s22ldl05QbCyrahP4pLa+ySEyiyq5YXAKlbX1TFuXw9gu0fhYLbwxeysfLdjB/We1Z1F6Pv8a3xFvqxmbWVFrr+eZaZu4fXgbiirrmuxzVUYx787bzt/ObEdOSRVrsko4u2sMY7rE4KMLSmpaCFq0aDQazaFQuge+v8k1iHPUw7T7JbtRXI/jc8zmUh53vRQWvuG5zGGH3YtOO9GSFObXpBZFXLA37QNrYdnHsOhNVxKD5EES05DQDzIWee4oJBECouQFkor7v+dCmbPg48I34Ly3pTjhAYgN9iE22AcIg/g2TVfw8ocxz8DsQNj4o8y4Jw+GG2ZLMLnNX7JfhbVlRJSdWbvXMrc0hsSQVpiL3CxKva+HZR/I/37hkDK06bHajoIl70vsDoBvGJXdr8N7848w63GxyAy5D767EWrLUYC1PAd8Amll9ZaBvqM1lOxuuu/CdOg+EaMiXywfUZ2lf7n7DxkOWmd8S/voq9mUU8bdHUrw+cWV3lwVpsPar6HVMLGaLPtIkh/E98KyY5YEzrvvb/MvMP5VERI754sY2THPJVgAKgtFmPiFy/3X+3qY+bgrcL/bBLF4pc8GwLx9Jq3iBhG3+X0sW6fJOkW7sM58lLILv8BeW0Vg6VbM9gr4+g6oryMQODswjtm93+PctFimLM8kPaeIaVfGUueAXHMUZTX1JFrycKSOw5TrKZJrks9kW9zFENGeC+vKubZ4I/WFW3h5SHvmlcCe4ipevLgbJVV1eFvMPPT9Wspr7HhbFJf6rib4fzfvOy+hXSfy+OgbeXiaK/uXr82Mj9VMZlEVb8x2TWqE+dl46/IebMwpZebGHNISQvC2mvG2mPHxMnP3V6vk0pbXEhfss88yA2A2KWwWE3X1Bi/O2ExSmC//N7En7aJ14L2mZaFFi0aj0RwKFfmSUaoxpXuOn2iJTvOcuTdZoNN5MqhrzLEoQtnCiAr05r2JPXlx+mYW7SikX6tQHjirPUE7voX/3eVa8bPzYdJ0SOwLY1+QmfjCdLB4wcjHIaqr546zV7sESwO/PyZZ0hqEzZES3k6Kp458XIL8G9wi3fqIGRjRUep9lNfYcfSegjljIeRvErfDrTOkvyUNklS/7tirJblFdQlcNlmKYNbbqQ9vh/f//o5pl7NvFKZD1nKxBC56SzLSpV0GXzuLJ1p94Jw3JA6jMYGx5Ef0xRJcTrB6C5TJVaTRDZtyYDWbsJoVYdW7mu5n90IREovehB4TIaY7fHe9ZERrrhZQWY4M2Ec/AyEpsO23putU5IF3sFjH/nzdM9PY6i9h+CP7RIuK7syV4Vux7NnruY/yXEzZK7BGdMCcuUT26ZbowFSaRdvq1eyJH8elqSbabf+IwO8+AZOF4h63sSViFO3nXI8pdbRksdvwA5i9yO/1d55aG023tskMsJeTPPMmbHlOa4zJwvBxn7HcrwvvzU9n2c4ibh6agsMw8LOZ6RdaRfAvD3oIOa81nzLs/PO5ZVhrfl2XQ3KYL2d1jmZbbgXfrfCsgVRQUUtlXT1npEYSH+JLTnEVMcE+9E4OYW9pzT43vvlb87jzzLa8/NsWckqr8feycNPQlH1pjQF2FVSSVVytRYumxaFFi0aj0RwKfpHiblPq+nFHqX3FB48LgdFw3luwd60MUsPaSRHBYQ/BV1e41vMKbFnFOo8hHWODePOKnhRX1hLsa8Onvgy+aWRpMgzY+YeIlpiucO10KN4t5yWsddOaO40KCALijuVo3h3tsLF4QXDCgdcxDCIrthKZt1EKI7YeLvVjspZIIcze10NCX7HMNFBVKlah+c/Ldw5Jhgs/wFFVhKk0E7WrkZgty3bV4+l6scTINAzO66rgp7/BVVMlJmfuM7JPqy+Mf53SoK6syyxgwHlfErb8NVTr4WINcaOiw8WMCItkaGoEpqDKpt8xtgf1tkDMPiFSDLLKmV43b4sEzu9Z6VrXZJb7qbZC+rqXn6Rz/u56z32mjoF130GnQBEbjWmID4rrAfZqLFMm4jjzX5hqyuR8Gg5In4UtpjOWvWug1VARVY2IpJDh7SOI2/obrHZavRx2gpe8RO+z41EVOZIIIbYHDPw7GA4WWYfwy7YiLhroj3/eIpdgcW4btfgploc/R99W4SzbWURBeS0dYwK5oEccufnbxR2w8dcpz2dNhh+dYwPJLqkmv7wWu8NBnVtMCkCIrxWzUtz82Qo6xATSMymEjXtKcRgGnWICGdUhirbRAZRV1/HrumzuPyuVcH8bEQHe3DtlNTvyK/bty2Y2HXHyDI3meKJFi0aj0RwKgdFwwXvw1ZUyuDDbJItTRPvje1x3t6YG2pwpg83Nv0gWpbajT+s00j42Mz4NqZ5rLM27zXm7zQr7R3oO9hsT1VlS4LoHwA+4Q1ymnOzMr2BrbjneVhOp0QFEWmvFNdAvQkTJ0bJrIXx6rktARXQQy0nbUfJqjr1rYN5zrvd9boQvLsFUWSDZ+ZTJVcCyAYvTAmc4PNMmg7hiFe+CgXdCu9Fi/QhOgrDWpChFiL+NORst9OnzMHG7p4oFJH2WbNtqKJis5OXlMnltKZddnURc54tdWb4CY6HrJVSoABZ1f41R6x5w3Subf5YgfGUSa1BAtAT/W3whpRLmPS+vbldI2unpD8k5H3wvYIYR/wK/aOh3O5TnSBIFo14skYkDRHjlbtwXR2Ra9qFkVlv7NaSOxeh1Pda89dLWygLofJFYo9zwiu5AnKlYMqk1QqXPk+QBuRskucOeFWC2UtlnGJMGJlNX7yDQKGuynaU0g1YpipAofyb0TmBUxyi6xAdTVFmDtS4Vx5bumLLdhZwFe1AyKzOKqKqrxzCgX+swlu0s5OoBybw+y+UedkW/JB7/aQMT+ycR5GNlV2El36/IIq+8hgt7xHHP6Hb87cuVbMqRQpKzN+cxpnM0L17cjcfGd+L2ySvYW1pDoI+FFy7qRuuII09xrtEcL7Ro0Wg0pzZVxVLluiRLikNGdzlwtfejIXkQ3DQPSjIkliK0jdQIOdFYfSTOoblYh9MdL38Y9qBUg29wpfEJ2Zee+JCI7gxX/wR/vApF26HnJOhw7r6ifGszi7nig8WUVkkq3yljTUSseFoKK7YdDZ0vkAQACX0lvuJwqSmXuBN3i0/eRsh0FozcHyWu2AaSBsLW31xuVlt/F1esVV+41knsjyNxALUD7sE7tLUIbfdjegXKvWL1gdi0JofbnFPOg9+v5ZUzbMQte1+ET0PhzplPEDzwTv5VNJ2RY56ktqYOOp8PrYaIRSVAClTuLlQ8vDCSDgMmkLD1K8mituRd+O1R6H2DuIpt/V1q6VQXi7iI7CiFOlf+VyyLQ+6H3PWw7lvocbUE6tdWwtZfJcXwr/eL5cjqC+02y/Zr3VIkO+wy0ZDYD2Y9IXE6SknMz5qvxbLT52YpKuodCD0noTb8KOcntLUIK3fC2kDeBo9FFd2uwwhKoIOXjTu/WsX/DYunb6PzWdXpUhy+ETz580bMStE1Poisddk88b+NWM2KqZc8S9LCR7FkLYbAWEpGvMgfJeFc1ieAIB8rO/Ir6BgTwIU94vh04S5uO6MNf27LJyrIm9YRftw4NIW35mwnr6yGQG8Ltw5rw2eLd/HtiizO6hy9T7A0MG1dDred0YberUKZetsg9pZVE+JrIyHUd389UKM5qWjRotFoTl1qKmDei57Vzkc+LgMj83FKRRycKC/NySN5iKQxTp8nNTySBzeN/TgYCX3g4o+gvsZD5NbY63lzznZKq8RV7F/9rbSZcYW4LYEE2JdnS+xJ1grqhzxIdnkdFpOJ6KBDjCuqqwT3wHsntcV7MDsMzCbV/HZBbi5nYW1gyzTX+z0rpF+OfQmyV4n1oq6SKsNGXs+/kxziK5aWXx+QAb5XAAy9n03VoXz903rO7iqVz01ux162s5Aau4PXViu69v0ncQsfg6wVMuAfdDes/w5rwXYGFP2AKrDDqv+KO15UJ/AKgZQhbM+NIr+8lP9kdeCRvg9gKtqJ70Wf48CEl18Qps/O8wy2X/SWJFbIcbpWbZ0hoqJBOJTuEXE25xloOxJWfSrb97harGB5G6UiYv/bXQkrBt0jWeG+vc51HMOABa/JevNflPihMc/Ld9v8i2SYM5lEmKbPkhgjkHNstkLXCVCwFQrTyU+5gPTQQdgrTUxdnY2P1cxeAik7+x0C5v4bKvOp6HQ525Ov4PHPXVnIHv5+HS9e3I07hrehpt7Br3lmOvd9i+LcTFrHx/DzDgdvz920b/2RHSPpEhdMQqgvw1IjuXPyCrrEB7O7oJJwPxtP/7yJvPIaOU3Vdl76bTO3DGvNazO34dhPHXGnTicqyJuoQ+2/Gs1JQosWjUZz6pK/2VOwAMx6QmbDIw/gtlVfJ/7wNn9PtyLNqYHFJsUhE/sf/X4sNo9FFTX1rMty1fBIUdkuwdJAxhKZpf/jZTaEn8WFX+fj62XmobPaM65rLP7eB/lp9YuAtCtlsOzGOlpTvCWX4e33kwzAP0biJ/58VQbxyYPF+tDAhh/E0rjtN8m01fMa/Kbdydo+r+OvkggPbwsjHofaChzhbdlRH84l3+ZTWmXn00W7+Pqm/nRPbOp6tzG3ivfje3HXRV8RUJ2NqSIPNvwoWdgAq2+QSyD4R0s65nXfYWQtI63zrQxLjiUiLJT3M6GmLoYvZ2Tw+RhF99rtnoIFxJrjcHNjC02RGi4NJPaDlZ/J/4HxEhfTaqjczys+keWbfoa43jDkfoyojqj0OXLOG7vO2avFymT1hdSzRMhUF0tsUdEuKfrZ4yoY8oDE3JgsklyhaAesnYI9uBU5Yz/m39MziSxy0DvZip+phm/7pRO/8ElAUT/0Qcqi+7GiKpJ353tmahvePpK5m3P5aU02IFrr0bM78vtOb4ZYLbw7b5PH+r9tyOWWYW1ICPVlUJtwvrypP7vyKwj2tbGrsGKfYGmgrt6g3gGxwd60jfSnS2wQa/e4+vbYLtEkh+kaLJpTBy1aNBrNqYt7gbgG6us8iws2pmC7+Lqv+1YyPY16ApIGHL82ak4pgn2sjO8ay9tzZUBeZW7GVcbmJ/3MYScjr4Taege1lQ4e+G4tscE+DG4XceCDKAU9r6Gushjrqk/AO4SsIc/xwaYQanfuplt8EGGOQsjfIi5dEe1lpv/zi8QVzhm/Yk8ehqMwE9uexWCy4Oh/B6aqImlfl0ugMh9Sz6JnxVyse1tLVjVnFjATEDvqRb4+I4g6u4NlVTH8tiHHQ7QMSw2ng2k3rY3dxPoXYMvdJS6Rs5/y+DoOwOQfLRnZ2oyQwpSAApJWvsATA5/lf+VWiirr+HDBTs7rFEKXgm8hoL+41zVYMcCz5lFwkliM3LP21ZbLOSjJkEKSrc8Ul7o5z3qe46yl0O9mVNYKWP4xDL5Hzou7APULF4vZGf+Q43x3vQgXpeDsl6HvzbDrT2h3lhS4/P0Bue7KRP3Qh1jlP5TcPIgM9GZ1ZjF/bMvnk+G1xP90375DmKc/SEDvmyB6Et3iAlm8o3DfZ2kJwR71XxwGfLM8k+sGtyLACg8NDCS9BL7bWE6NXQRXZY1YAE0mRfvoQNpHB/LL2my251bg72WhvMaVTEIpiA/x5oOre5MS4c9rl3dn+vocFm7PZ0SHKIa3j8TPSw8DNacOurdqNJqWT9FuGaDkbRR3jYZYgpBWMoBxz7oTnCiDneaorYTf/gWbnBXxspbBp+fDjXMO371Ic/pQVy2z6GYLJpNiQp8E0vPKmb5hL9P2htK9zRhs29xcsfrcCOu+o7rVSH7abQNcM9wL0wsOLloAghNY0OYejPBL6GzdQ2h1Dq+2yca0fSYs7CKJBGY+DvZq7ClnYu92Bd7FuyRwPnsVAKY+BWSM+YiK3HTMNh8SYqLwL9os/b8kUywxa7/B2vkCscw0Slvss/xt2sekwbpv6RiUxIbhH3h83qluA53nT5A4mORBMng3WWDCZIkjy1gCuxdSHjsII2YQQaVbxCLR+UJpY89JsHcd8XlzuKFLNHMz7PgOjuSaxAIsmwqlsOfge2USoTRLrCFjngdMcOEHYlnKXuF53gyg1yQprpq/BdqfLds1R3XJvvTHrPwUznhYXMLK94qrXf9b4bd/yiRHdFfoPhFW/FeEy6wnoc9NkDJM3MEWvw0BsXL+DQfmuc+Qdu2Z5NaXEdzGm6mrKqm21xNSsdOzDT2vwWz1YvjyWxkY1Y0hZ5/LDdNrqKqrp97hafm5sq+4nRqFO+lb8i0jNk/BHpTI1WMe5Pr5vtTYoVV40wD5bbllfL8yi1uHteY/v23B7jBQCh4e056zu8YS4C2usq3C/bh5aGtuHtq6+fOl0bRwtGjRaDQtm/I8+OEmmfFsYNDdkqY1NBku/wp+vkd84BP6wdjn919rozTLJVgasFdLClYtWv56VBbClulSAT4gBgbcDgn9SArz45UJ3cksqsRqNmGxvQzZV4sQMNtg+2wcnS9isf9opv2Q77HL+MNIFRsR6EdAzjoilr8jgfXLP5IP0meKaOl7Myx4BUv6TFTKUMmgZXcJJNOe5bQaHQFxMSLA/3gWKnJlX7v/lEKM/W6B7bPEknDGP+CPlyWmBsDqty+DmrlkFylFC5mxPoF2UQEkB4Ka87QIlvZny7FnPCLb+UfCoL8DCi79HN+qEixrvpD4E4DYnpKW+7sbITgR1ecGLN9dy5klGQzvcC6qvKekJM7bJPVk2p0l5z8iVQLyS3aLBWT8y86/r4JPmATg56yR63XmY2JJMlslOUCrobBjruvkhqdKZrEIZ1B/eS7MfUFSPyf0l/M160mX5SVnDfS+TkQLiPWnvlYSfCT2k/pI5XtlnXXfQfYqLIXbiC3JIHb7bOaOvpgH1ieSUx9MUEMbYtLkXC//GACvPSsY5DuVpVd9SkatP9UBEbwxezv1DoNW4X7YHQbbsgu5v3YyARu/BMCSu572Myfx9tgf8ElMIza4adxJh5hAcstqmLx0N3cMb0OdwyA5zJcxnaPx8zpOsX0azUlAixaNRiMuDxlLxFfcqJcZx4S+Tfz9Twp5Gz0FC8Cfr0kwbkSqtPPq/4m1xTfswDEqFm/wDmrqVna8so1pji21leIqZPOHgAOkND5UNvzoWaRy2wy4dgbE9cDHZqZtVEO/8IPAGPnXXgcdz8XkHUTA7mK8rYVU18mMeXKYL/1bH3o2sdTAWiwrX4Kul7hS7sb1EBcrlEfgvVGcIQN49zpB3S4TEZW5HD4e60ppvHWGJKQwDHEJa8A3TITZ3OflfddLJAbMSf3e9Ty3fDNlNXX879oORBY6kwXEpskAv4HyXDl3Nn9Y9gGWmG4uwQISnLF2isSQdJ8omcKcVh617htnpi9nxrLwdrJecKK4ZzWIsrTLYfbTkroYpEinM/gfEBe09mdDz2vg53vFEhSRKt/RL0IssfV2OZdbp0usCkgcjKNOngOdznfFx4C0scFymzwEHA7wD4fFb8lzJqYbLPk/2a4wHQqdrqZ9byJ002Qe7HADvxbE0Ta+L6bMxZJGev5Lnhe9sgD/zLl0WPQWxjlv8OuNvbh68mbOSI1gyrJMHh7gS+DiKZ7bOOwkGxnc+KOVmEBvruyfRPeEYJQzir57YgjXDEjmk4U7efn3rXSMCeTVCWlasGhOO7Ro0Wg0kLkEPjnbFai69muYOBVShpzcdoHHzPI+HHbPmhM+wfI6GMEJMPJJ+OkO17KkQUdX42TvBti7XmpOxHSD8DZHvi/N/snfAjMelYxZgXEw7iVoM/KwU07X1zvYmFOGtbaY1AWvNPrQKd7dqtc3wWIFSzAAPZJC+PG2gWzKKcPbYqZjbCCRAV6s2FVEen45YX5edIoNJDKw+axMFhzSb8NTxdrQUFNl3otyL7YZKfVj/nydgtAemNoFEbHqDTDqsfe8DnO7MZK+d/uspjVYNvwoqX/dqSwAWyD0vAZHpwsxLXzN4/7KjhzCrtUV2B0G03fYmdh9otSFaRwsD7BnlRTA3D6zaaY+s01c7kAsOY3c0tgyTQTIzj8g5Qxw1FHvHYrZ4i3tsfmJm1mDYAGxiu1eJNaLlKFyrkxWcVcr3ysTGSMeg1WTJUEHSDD+6Kfh/HfFAuUXLtafGmcNldge8h2Wvu8M1K+Xgp3RXaHrpWJpqciTOi4rPhEXu6RBknb77Fdg5mNiSfnjZTjzUVpl/sCamjvZM/hp4svWiXXLZGlatFQpqClD/XALbYc9xJzL+7HLO4EN2aUU1DpEnJbv9dgkt8ZGRmElC7cX8PPabL65pT9d4oIBCPf34sExqVzSK54au4OkMF9C/Y5BLSGNpoWhRYtG05iKfMhYBDsXSMG3VkPEDel0ZtUXnpl1DAOWfdAyREt4qrijlOe6lrUdLTVZjoTOF0JYCuRuEjey2B77dyc7GFkrROw1uJj4hcNVP0ltif1Rmi1uLX5Rx8Za8FegtgKmPyIz5iDWhi8vhxtmN1tfxJ3y6jpKquoI8bNRWlXH/K35PPLDOs7vEMDTZh9MjTewNC8w9kdqdCCp0S7r3g8rs7jrq1X73p/ZPpLnL+pKmH8zg0jDAanjYPaTMlDtd6uIhIZ7cdtvEJJESa+/8d7uGOZkRnPXwOHEBHnx7uo67q/0pW0QSKBH430bks65ySFrqYvti3nRWziCkzGN+DcsfJ3cjtfyYWYsdoe4juWVlkNsqqT2tTWTYSqhD+xdBygp1rn+e9dnGUtg7IvirtVc6nH/KGg3SpJi/PoAAGbvIHH5nPGwWEtK9zTdrmArDLxbzlFhuiwLiheBsXGq3FsNggUkGD9zsdMq5Eye0CBYQNJEdzgbOp4H8b1EXA25D8rzpY1bp4t4WvyOKxnApp/ETW3UU5B2hbiqVRZAXSUmv3DeHOKLI7IDbM6C3x6B7leKKGogOAmqnYlC6iqhpgTbuq9oG9+H/0YvItu3A8WjXyf420v2beKISSPBlM+PbZewKXwkt80xWL6reJ9oAfC2WugYG4RGczqjRYtG4069HRa/K9WYG4jtIZWqA6JPXruON0Zzgx5H02Ung5BEuPI7WPim+Oh3Ol8GAkfq0uXlJ64kh1OMsDkcDnEVcc9GVJEPm6c1L1oMQ4KCf7hFBkDByXDBO0eftvevQFmOS7A0YDhk8HgA0bI6o4gnft7I6oxiBrUJ55oBybwwfRM1dgc/birnxpF3kTLrJtcG3kEyGD9C9hRX8dhP6z2WzdyUy8bsUga1bSZYfPVk17OmJBN+uBnOfBR+f8y1zu6FrBzwCb/PyKRrXDC7CaSuIIunwucQ+fMjGO3GoJIGijhws7YYaZfjqKnA7H48s5X60DbYplzlWuYTQsUlU7jkm1J2FlTuW3xZSh0s/EQyl8V0k3omi96S8x7SStwzizMhoq2kOU4eDDvny8bh7cS6MOIxsNdixPVENdRZUUriYXLWwwY3oVNdgrHuG1Tbs6RoZHjbpucrdRwExUj8S9FOaUtFvoimlGFSsLMxmUskIUDhdgnGb0x1iVg1ts+Wa//l5bL8wvdFbAy51zN7GTgLgS6ChW/B2BfglwfA4gPtx2HOXo5l5yzYswbyt8rE17CHROCFtpaU1N87+5zZBqFtYfvv8P2N2IAkwJ40lPKJ0/Eq2IDFYsOUswrbbw8SZhgMtH3GS0M+ZU9DgRWN5i+EFi0ajTtFO2HBy57L9qyA3A2nt2hJuxxWf+EpXnpft//1TzTRXWD861BXIQPLlvCD7bBDwZamyxtmgJss3w5fXekSOcU74auJcN7bMvMa200KBmqaYvOTme9GLjP4NK0p0kBGYSXXfLSUokoZyM/enMfO/AqGpkYyZVkmVXX1fJCTwl0XTMFvx3QM30gc7UYRcCAr2UGorK2nuNIlHLwsJkJ8bZRW1zVduSxXZvDdMRxiCRj+KNgrweJNWY2DEocX941K5fVZ24iyVHBDwb+wFW+HrpeighIwSrNRk6bDqs/FDar7VWQFdObDuVu5YchzxGz+L7V+sZR2v4nw2Y94HrOqCK+yXZzfoyvvzEnHalG8cH4notUWl9D2CRZXrCH3iWAJiBG3sIWvyzoBMXDWs9D9Cun/JZkw7T5xjUrsjxpyH0ZFAao0Q/bjFSTpkRuhctbguPJ7HB0vwOIbLIkIln8kblqp48Ua8tu/ZMJi1JMyQZB6lnznrTOkqn3g/2Dzzy4BF9Nd2nLWs+KKtuYrz4PGpMmz3TtYJhRALLsle+R6KDNNUCZASfrlOc/CBe9Kmzb9glr8llh/Us8WYedwToT5R0o9mJAU2b7daOh2ubjDBcV7xNpZds3F3/IgdLkA3j9TxHkDtRWk1m0ktl2vpu3SaE5ztGjRHD8qCyU7TG05hLWVXPotHUddU99waH7Z6UR8HwlmX/aRuEj0miSZuFoSbrEELQKLDXpcA5nLPJd3OLv59YszmhYprMgTV8R5L8ps9VU/Hrgo5umMYcjMdNFOCbqOSHVZ0wKiJYbl64kuYZ06RsTsfthVULFPsDSwo6CSi3rGA+BjNRMXEUrvL/JIDD2biho7dQtymXJzqYe71z6KM2TywlEvmeaaeZ7FBHkzpG0487bm8+ggP87w3kJg2Xb8VCVUeElV9gYstmZjF/CLkCxdzjgI67B/8cG8rVw7pD1bc8t4pKsD294yscgAzH4SVbwbI6I96ty3IL4nS3cUsmJLER+uKucbn1acmfI8iRHBDFWK8PLsJu22KLhzeFsu7plASOVOfPL/hMm3iVgAGZgPvleEQbvRsuzP11w7KMsWK0y/2+DPN1zZyerrZKCesQgV0V720+9WUNbm05K3Ho4pbyMm72CJhUmfLRYesxf4R7isICAp0C94H368DS54T+ouff+1BN6PflasLq2GiSVu4N8gb7O4hlYVi9XO6iuZ1ZSShAKGIc/B9mOhcIcIsYBocXVrP04KVjaQdjls/c3ZL3ZJrMvK/0Iv50RPZEdxX108TWKu+t0CO+ZDTFdxY7t8ikwSNSRJ8A4Wa8yMf7jif6qKYPdCSWSw8A15VgTGQm0lkX5W4rUrmOYviBYtmuNDabakod3sfND7hIiLz4ECXFsCwUni37zhB9cyv3CJqzge1FWLJSdjsQxgEvufnEBui+3YuEz91Wg3Cs78lwTimq1wxiP7L1TpGyYDJHdrlsXbFY5QngM75vx1RUv6HJg8YV8KXgbcCYPvAx+ngGh3lsSw5G8TURPtrGWyH5qrSm8xKdpEBhAZ4EXv5FC+XymZuHYXutyilu8qaipa8rfC55dAkdOK5hcOE3+E6M4eq/l5WXh0fCfWb97C6PX34Z3jFLSr34Eh98PQB1yJA3yCYcS/YPKlrj4RGCeTPW6B295zn+C2QVNYtqeE9yb2xLtglWQNK8uWGfzacgBU3ib4eiJFl0/jqg83cnnfRCICvMgrqyGr0oyjuI6vVxbyffc7iF7klgnMOwiiO6OUItZWBd/cIYHuDYJl34n5EMa/JqKyIpcmZC4BbpP6Kn++JtaBNmeKJWPnAnHh6ni+uJFV5EpfH3iX1D+x10jwe2J/+d0AjL63oKK6SPatjufC+s2ex3PUSyrjHleLyAtrI3VY8rdCaSZc/DFkr4OlH4gls+N4+OIScSMbcp+4vWUshSnXyP7i+0hmta+drnNWHxjzIsx/EcJaSwyLvUYqZmYulec2yH6Kd0nMnTLDmBcksUfRDhGWPiEifLpfKSKu68XSbneLT3WxJD9pOxo2/yLWLJNFEixUFsK4V8QylbMavAKxxXVtev41mr8AWrRojg9Zy12CBWTWaOYTMOGz5oM6Wwo2Xxj5b5kpW/cNxPeGfjcfv0D8bb+Jy1ADgfFw9VT5kTwS9m6QH9T6Gml7TNrxc6XKXg2rv5LA17QrZDDgG3p8jtVS8Y8S//xul8qApTkXQnuNuMv4BMOIf0v6V5DrMvBOWOOW3rS54OO/AmV7YeodLsECMvBNHeMSgQ31OGK7H9Iu20QEcGXfRD5bvHvfsjvPbEtMkBdPnNeJAC8rD3y3psl2DZXHPdjyq0uwgMRRLP9EagI1ur/aRPqTUlqCaWYjC9yClyXFsHusRsoZMGm6DPh9QsV6899zPbczHAQaJXSK7cCIjtFUFvfEsWY9JmXaJ1j2UZpFTcFuQnytfL54F/eNTmX6+r0MaRvOizPElfGVvN7cMORVknb/AJHtsXS/TAbeIK5dmUtFbDTGFgCFO8Hq3XwMXGx3GYhHd5GMZ3lbYfXn8j5jEY4ekzB1ukAq2U+7X7YJbwv975Bn1YbvJY2xE7X4banPEpsmAftWX9exIjuI65bVR+rHNFi/3NMyb5gKHcaJeBr5BKxz3mfpc8RKM/geWOLmnpe5BLbNFMEQ3Vmsakvfh9Sxcl18QmSCoSpPxASIyOx5jeueLt4FXS6W2KRiZ79rM0KeE3OfFWEU36v5eLycdTD2GnmGdjxfLCu7FwEG1JWL5aiuUr7r6slwxbeyjsksv1clGbD6S3nedL1YYjHB6e1QIaLuSJOXaDQtBC1aNMeH4t1Nl2WvFH/tlixaQFJeDntATPpWn+az3xwLKgvFP9ud0kzYs/LIREvOWvh4nKsGidkGV/8khdGONbmb4OOzpZI0wLbfYcxz4oN+pNSUyTnxCTlwrZWWhlIyeGmOop0w+xmZRfUKgLNfljogFbkyAJrztMzINpByhvwtTIddC8UlKakfxPU8ebVk9qySAow1JTKAi+sN1qaZsHJLq9mYXUplbT1tIv3dapwcAtXFMuhqTKMA6Bp7PfnlNfjZLAT7HriGkL+3hbtHtWNUp2iyS6pICPWlc2wQgT5WGuapbxnamoe/XwdIaZEgHys9EpuJk8lZ23TZnmUyc95MLSNTYysFyLqN3UwtNkjsKy+Q6+0dKKKoAZsfEXGtWbankv+bl07/1mG0C22DrWBT02NYvDDh4JoBSTw9bTNP/ryRQW3CiQxwXa8v11fw/eYoOsfdz6NdOtItJlgsEQVb5dnR5WKx9DSOIepxlQTa974e7FVyry95VwSMfxR0uUTcm6I6wh+vyPojn4D6Wuou/xbz9pnSh9wLQOZvFUvG2a/IgLsxJZny+ainJRlAbbnsN3OpxIVEdRLB2+kCeXae8Q+ZsLH4iNC0+kKrwfDTnfJMHfR3sYoGxDYfe5axSARLVGeY84ws2zgVGjIvX/QRbFok6ZqD4uVZPfNxERpdLobEAZC73pXpMKSV1HfxDpL/bX5iaWvIUGfzl/u603kS64ISa39NmQgfENe2qiJX8pG6KkkAsnO+nMuEviJe8reKh0BVEaz+AuPSzzFWf4Vp01TZT3CSuNEVbJd+GNddrFstIT5QozlEtGjRHB8aZu7cSR0rVY1PFY73wNleA9VFTZc3jns4VDb/6lk0sb5W/Mzjeh12LYuDkrPGJVgamPucuNYdScKCPSth2kOSkSe+L5z1TMt3JTwYDofECK1xDsaqS+CbayVupcN4GZB3uUiK09n8pMJ3fB8ZuH4xwTN16zlvQI+JJ/47ZK+RooUNfXLhmzLD23aEx2pZRZXc+eVKlu8qBsDbauKz6/rSK/kQLW9+kTKAymlk+QhJ3vfvjvwKXpu5hf+tySYx1Jd/n9OJAa3DMZn2P+gK9fNiSLtmsnY5GdM5Bh+rmV0FFfh7W6mstVNcWUtJZR1Bvm6TFe3OahrA3XXC/ouvRqSKC5m7+Gg//uAz3cEJcMmn8N0NMmD3j6J8zBtc+X0+Oc6ikj5WM7/f0JWo9LlYek6SQPUGBtxJ5Oz7GH/Gf3ga0RN/bMvntmGtuXdgCP3892JzVLPFEcsH6+3EBHlLf5v2gMsyHtsdQlMkrq22Ql6xPUBZIO0y+OM1CIyEjheIWKmrlGfBzMdlYFyeKyK047n7nqHWmnJY8aG4PNn8m35vZcYITkIV73Its/mLNcUwIH0WxPTAGP4IasrVLkvPhh9hwhdy3lb8F2Y/5dp+0N8lW1dIK5kA2PmHxFbGpIm1Iji5aTviekua5Mb1bXxCRCyZbVJjZss0sZr5hMq6HcbDgtfkXg5Nkaxp8/8j4ubnu+R4Hc+VZ0D6HEi7Es57x5XgpboUpj8klqfuE0WQRHWWyQ3fMPj1QVdbIjuLm57VR87nb/+U8+QdBMMeFGtTbQWqeDeqQbCAWIS+uFSuTVCCiKCCbXJ+ItqLl4FG08LRokVzfIjrIb7+c56RwXNCf/FftugKvfsIiJZsN3Oedi0zWQ4YXHxAypoG2FKSKbOmx1q0NMsRztiV7oHJl7nan7FIYhtumCWzmUeKo14G3XvXyQ9yTHepz3KiqMx3CRZ39qwSV7qAaHFR6Xa5XHd/5+B6xxxPwQIyMGlzpgTinkjSZzcV0fNfFJctt0HOyozifYIFoLrOwfPTN/PRNb3x8zqEvucbAue8BlMmieXJ6iupZJ2Dx+q6ep6btolf14vlZXteBdd8tJSptw88qtoUIX42hqZGcvdXq5izJW/f8ntHtePmoa2xmJ1VXJIHS0zKn6/K/dRjklRj3x+hyXDl9xKUnrVUAsDTrjg0K3PSALh+FpTn4vAJ5dHpueS4uQ1W1dUzeWMtV/e6k9q9m4lNHoSqLJD+vuZLyN9M+I6pTL7hAexVJaRZMyDvF/pEVmNaNwUyltDVO4hRF31NoI+CldM9XXn3rJTvazgLX4a1kbo4RTtlcJvYGxa8IsU+h9wns/5Zy0Rwtx0p4mXcS9L/izOk0r13gExG1JaJG9euP1zCw+oLNj9JIjD9IRGuoSnQ5wZJUAFgr4WyPaicVZ6uaYYD1nwtVo6NbgN0kMxs574J390Mva4Va2jyYEgaKJYM/2joe6tUuwcZvLcaIskSHPXShsJ0ad/QBySJAIiYqi2X4wbGiZUoe5VMKngHiovZ5l/gwv+TWJYh98G676QvL3gFzn9P7uOCLbKf3x+TZ0H/2+XzrOXyfEjsJ8+uPxpls8xdJ5kH/3xdnh8NqemrS2DRO3DW87DsQ7HmDLxLrGWRnaCqQARLQLRYyWY+5rL8Df+nFNDcu07u98gOIppMJrHc5G+Vfh/W5oBxZBrN8UaLFs3xwSdYAmk7jBdzdnAS+OhsJx4oJT90Vm/xnQ6IlUDSmG5Htr8OZ0tBSHf63Cj7P9ZEd/VI0QnILN+RWFmKdjYVXOV7ZfnRiJZdC+DT811BzcFJMPG7E5dW2OYH4e2b1nho7EoWGOP5vrnq47XlTQOjj5aSTBlUFe6QPhffS+5bj+NWNt2uplwqh7uRU1LdZLVtueVU1NgPTbSAzPBfNwNKsqRvhbba57qSU1LN9A2e59HuMNiWV37UBfW27C3zECwAr83cxtguMaREOK0C/hHSv7tNkEFzcOL+rSwNxHSVQfORpOkOiIKAKOz19WQ2crUN9bORGlhHaX0gDy0O4DOf97Dt+N1jHUt1Af0TfWH+O541p/rfLvds3mZ81nwCtXniznTmo9LvzFaxlOycD6FtRLQm9PN8roS1ERGw9H3JfnXGP2D4IzIwX/mZFJW0+koNEy9/yNsigf2JAyQbVmA8nPceZK+Q9RL6ySC72yVwySfSH9d9I+Kn4V5oM0JESeP+CdIX3S1aDdRVSdIGR70Iq4k/wqI3JY7Q6gu9r8eI74UKfELur4p8+PFWCXrPXCRuWZnLwS9UBFB1sWQo638rzHWe06T+sOgNSHdzeTvjnzI59/lFIgpMZrH6eAXAxZ/KOZ37rLirtRsjqZun3S+Wk4F3yXPvf3eJFWv4o9D7BtmHUS+TG0s/kGdaTZncwwl9RejVVUlMTUWutHHlZ3Id43pJgpW968TakjwEpt3r6ao46wnpr7Xl4qK7fZb0C79IcWMt3AqrJstxL/5I6vBoNCcBLVo0xw+zpfkCYRoXgbHy45h2pQSUejXjOnGoxPeFiz8RFwl7NQz8O7Qddeza6k5ke0mRvHaKDErSLpNZyiPBK7BpVi2lZPmRUlMubhJuWZgo3gW7Fx9/0ZK7UZIUAAy9H/I3uYRLTNrBixdGdpQBjLt46Xnt/uNmjoSKfPjxdhlANTD8nzK4MrnVpWgzXAa97oVGB97ZJL6mY0zTa3VeWmzzVeAPhH9kszO53jYTob42Cio8hVug99Fbbqtq65ssq613UG1vtNxkPvxYs6NM020zm7m6fxLZJVVc08lGu3ArbarWErPkPow1wTzd5W9k2yaR1Ei0qLTL5L6c/4LnDpe8K9d47vNYw1qJZWPYQzD1dtc1ju4i8Xyzn5ZK83++7rmPgm1i2QC5Z21+YhWI7ir3W85aSTpgGBLrppSzvso/pb8Fxkkb6qrl+eEXIVaBiI5i3bD6yb1vr4WqQonzWv+d3FPj/uNKNQyy747n4ajIx2Tz87QKRrSX2kggv0Mbp0rKZpD1FryKGvmEuL6t/17ibS79TFynVn3mFGD/kWtYtFO2K8mELTPkXvEOEvHz462e56e+Ghb8xyUKHPUS43PpZ7BmsggfECtOxhIRJkkDZH8FW12ZK0v3SFzLmOddiQssXhInVFMmlrvgJBGhyYNFVO2YKy5wBdtcQjljkZyHC/4P/viPuC1WFjbtbHs3iqALbyNurSBxQ2NfgrD2Yj0ry5GioFY/EZB11XJfNCcmNZrjgBYtGk1LwL1+w5Hi5ScBnSnD5IfyWOzzQMR0ldfREt5GakDMcxtgDbr76ASvvVpcWhrT3IzsAfdT4xqwhCTLoOFAZK+GT8a7LFBeAXDZVzL7afWFqC4QdBAXr6iOEvcy5zkZfKRdIXUhjmVCiNwNnoIFRJx0PNfzvMf2lLYseE3cRPrd2mxmqW4JwTx9fheenbaRsho747rEcPWAZMwHiDc5HKIDfXjsnE7cMXnlvmUDW4c1K5YOl5QIP4J8rJRUuWae+7cOJTGkZfj4D0+Akb2WYFv0uvSBAXdA35tQ856nze+T2DbmS9KHvUnSxndRZgumwfdI6uDMZU2zfNXX7VvmCIjGlDxI7jt3UZqzVuqitB4hGfHchX8DDeunjpMXuNwF87dI4ogGd6qU4TJzv3O+vC/NkkH4GQ+LNb54t7g8bZkh8R6L3hLRfsbD4qK05ANp95AHZGJk4g9i5TFZpNJ9WGsK7D7kGYm0W/ZvLPkbMJIGoTqeI6Jn6AMSk1JTJuLIPUNdaZbEJp39kuf3u0Lc6KjKh4AEiY1pEEDZq+R17pue+wK5PkHxTV0qHXapD7P+e8/l1SWS1KD7RLGs7F4oQsH9erinl7bXSMbG9meJSPntn67PUoaLa9gf/5Fz3fUSiY/aPkdqwlTkw455IgyDEz2T5ZjM8mxrNcQzLshwiBtZj6ukkOeoJ8X17ee/i0gdcKec14BIqCqRZ2V4W7n+f7VMkpoTghYtpwhKqbOAVwEz8L5hGM82+lw5Px8LVALXGIax4oQ3VHPyOdVmvSzeMhBrNUQySAUmiBiy+hz5Pv3CxYVl5uOeyxN6H/o+SvbIgG7Fx/K+xzXin34g0bHmG0+XuZoySb069rlDPy6Iy8eln0uQ8/EQn825fdlr5OWO2SLXJaGfM8Vs866Gfl4WLu+byNB24dTYHcQF++BlbaaS+FEwqmMU3906gO255YT42egcF0Rk4NG7PiaF+fHpdX145bctrMkqYXSnaK4b1Ar/Y2DFaULuRtj0i8yotx8vM+y+zWQra8Bei8+Wn2DeM65lMx+X+i4D/w7LPiCpYjVrWl1PQOcxhAe4WWuDk6RoYXWxa9vAWKguxmg3BlNcT+njDTP/HsetkXTOxRmSlWvVF67P/MKlnkjqWBnMezfKEhcQ7enuGdfdFZvSgOGQQfrG/0mhR5s/1JXB7063q9SxkLeZ2rICSpLH4NX3LgJDnRa4sNbQ+gyP3UUAO8t783arV4lMrWFwgo3Y4pWw6G3X/egfJTEg7oPy8HYy4G6Md6C4fu1ZJRMHY1+A72+Ugb/ZCn1vEZe59uPF0tQgUoY9JNYInxAR+Q1YvOTcW7xdhTdBRJnVF6Y/LOsn9BNXvd8fc61jbuSGWJQumcZmPeW5PChWxGDBVrHw5qyVYpwBMTDkXpcFdc3Xcow/XxfR5hUo1n4MybzWmOoSaX/BNrEqpV0hbd0xV9zSRj4O6RtcLnMAA/4Gwx92ZUnTaI4RWrScAiilzMCbwEggE1iqlJpqGMYGt9XGAG2dr77A286/Gk3LxzvoyN3L9ke3y8R9Ycl7MogY+birdsGhsO03KajXwPIPpWZEz6v3v03B1qbLCrcd+jHdsfnI63gQ3q7pwKr1mc1XKYeDx284iTuO1gkvq5keiSHNpyQ+SrrGB/PmFT0pq6kj1NfmCsA/lhRsh/+e40qHu3rywdOE793QNGsZQNZKmflPuxyrTyg9k5sRtqHJcPlXMPVOSewQ000qxfuGoIITZbBdXyd9dt03ru2UEtcqi5dYQYc9JO/XTpH7p8/1Msu+P2J7iDiL7y2piauKm6ZPBpmJ3zpd/k/q73L7ajNCrCizn8KGCJKiEf+hps/VeNn2P2TpnRxGm8gAyqrqCPa3wfTPPCcQyvdKamC/CPnbEOuxP2x+kDxQXgBX/+x0uwoUK2jWCom/OecNiXmpr5NrvGWaiIR5L8r95RUgcT719eIW5y6a0q6An+92vc9Y5LR4DBVREJPm6i8NdDpfvkNjAmLkWsb3kn6zeZosL82C3/8FF30srnmlWRLD0nWCxI1Z/WDec5JNzGQRUeYe7xKaImmlQdzK3IVIVZFMNJkaXZeFr4trYXSn/Z9fjeYI0KLl1KAPsM0wjHQApdSXwLmAu2g5F/ivYRgGsEgpFayUijEMo5mUUhrNX4BAZ2KDXtfKbOXhWiwafMsbLzuQaEm7TAYtHsuuOLzjngjCUmDi9zL4yl4pqar73Nh01vwvhI/NjI/t2FqHPMhZ23QAOvtpma0P2k+80s754m6UtdxzeUAU7P5T0mofaOCd2A8mTZPBpV94UytsbJq4Zlp9JPNYQByMedbT7TM4UWbie98gA2rTQc5RQJQEfCf2l5iWrKUSrP+/v7nc1VLHQbCz6rvDLil/fZzuRAl9PQf2QMi8RyluNQivuNQDHjrE10aIr00G3bkbm65QnicCwuIt3/1wEodEtpcXiIWpYJvEnaz8VOJIOl8odWoqC0WwpF0u5zUoQc7r1hmSkOCsZ0XsBCc0HeyDiJVLP5Pr6hsOhl0mGKqLJbFN29FiwY3vIwUxG7AFyHMueYhkuXPHMMT6de5bsOpzyFgsmdxqy8XFzGQVV8CVn0mMzZ+vibALbwu9rnNZfpSpaZuVuWn9IcMB9masuRrNUaJFy6lBHOBeeS2TplaU5taJA5qIFqXUjcCNAImJice0oRpNi0Kpptm5DpWEfq7K1w0k9j/wNslDYNzLkh0IQ9Lkppxx4G1OFrHdJRNQTZnUgjjYYFRzdDiaBvy7x5g0i71aLBbbZ8l1AklU4BcprkoJfSU97YHwCzuwYI/qIH126AMyyPYLb369w6nj4Rsq1pOk/hJQr5QIoYJtIk6iu4B3CPS/Q4L2M5fAqKdg57zms+TVlmOuO4z6VWarqwilOx3HS9zW0RZUDIqTV3muCLmtv0HZHskGlrtBROLCN2XdcS9JuuHYblLwsrpEvmdVsbirNSaklVxfxzqxRNlr4JzXpf9UO1M1F++AAbdL3M32mRKI7xcuMSblOZKhzb3mDYgw+fwCSdgy6klxnVvztdMK/YS46PW5Sayq418XcVKeDb/c63IbHXwPbHJLj916OORtapqmP6KDfA+N5hijRcupQXNP2Ma/dIeyjiw0jPeA9wB69ep1gF9MjeYvTKfzxIWnoWJ9SIoMeA6Ebwj0vhY6jJO7LyDqeLfy6LD6HF3skObQieok8QPuRVkH3rV/KwtI3ZPJE2SwaPWTwW99Hcx/SZIixPc6Nm2zWGXm/3jQ4FoY211e7gy4Tb7Drj9lMH7VVByVxZgaBczXR3bGO+wghTkb03a0uLYteEUG7MMekmD1Y1kB3j8SOl8gL5CMYHtWSjFMpaSeT2xPif0we0ntGasP7F0PeZvF2tN+PGz6SbY3WyW19szHxcIR3UXEotVf4sv8Y6UPBMZLIH1oiiRMCGst2c+CksBeIe5l39/kCuhP7C8ufWc8IqmPq4pFuJRlS5yaVxBs+F7Ok3egiK6IdhJ/M+Z5iYELThTLT3RX+Y5WHxFg0V0lSUm7sZCxUNxMh9y7f/Gr0RwFyjjQLI+mRaCU6g88ZhjGaOf7hwAMw3jGbZ13gTmGYUx2vt8MDDuYe1ivXr2MZcuWHbe2azSnNCWZTjcTJa4hR1M3RqPZs1LSyeZugB5XS0rygwnb7NWwbZYU+ovpLgPKgEiI6AQ+R589rcVhGNRsnYPt17tRhenYEwdhH/UM3vFHkKnQMOQeVqYDi8NjSXWpuH+ZLeJGdrA6WRX5ImKqiyUde3iqBMQfSiHS/VHvTD1dsEUsKNFd9y9KayskRbzVT1zClJJ4KI/91XlmL6wuc1qZrOAfI39rq6CmWCxpB8uyeJQopZYbhnGMFLvmVEKLllMApZQF2AKcCWQBS4HLDcNY77bOOOB2JHtYX+A1wzAOUhBCixaNRqM5oRgGOOqaZoXSeFKRLwLAL+IvHWulaYoWLX9dtHvYKYBhGHal1O3AdCTl8YeGYaxXSt3s/Pwd4BdEsGxDUh5POlnt1Wg0Gs1+UEoLlkPBL1y7GGk0Gg+0aDlFMAzjF0SYuC97x+1/A7jtRLdLo9FoNBqNRqM53hyHZPQajUaj0Wg0Go1Gc+zQokWj0Wg0Go1Go9G0aLRo0Wg0Go1Go9FoNC0aLVo0Go1Go9FoNBpNi0aLFo1Go9FoNBqNRtOi0aJFo9FoNBqNRqPRtGi0aNFoNBqNRqPRaDQtGi1aNBqNRqPRaDQaTYtGixaNRqPRaDQajUbTotGiRaPRaDQajUaj0bRotGjRaDQajUaj0Wg0LRotWjQajUaj0Wg0Gk2LRosWjUaj0Wg0Go1G06LRokWj0Wg0Go1Go9G0aLRo0Wg0Go1Go9FoNC0aLVo0Go1Go9FoNBpNi0aLFo1Go9FoNBqNRtOi0aJFo9FoNBqNRqPRtGi0aNFoNBqNRqPRaDQtGmUYxslug+YkopTKA4qBkoOsGnSQdQ70eTiQf9iNaxkc7Hu31GMdzb4Od9vDWf9Q1j3QOrqftaxjnch+djjbHG0/O9jnp2pfO1X72dHu73g903Q/a57j3c+SDMOIOI7717RUDMPQr7/4C3jvaNc50OfAspP9HY/nuWmJxzqafR3utoez/tH2Nd3PWtaxTmQ/O5xt9DPt+F/7E32slvhM0/3sxFx7/dKvhpd2D9MA/HQM1jmUfZyKnMjvdSyPdTT7OtxtD2f9o+1rup+1rGOdyH52ONvoZ1rznKr97Gj3d7yeabqfNc/p+J00LQDtHqY57iillhmG0etkt0NzeqP7meZEofua5kSg+5lG44m2tGhOBO+d7AZo/hLofqY5Uei+pjkR6H6m0bihLS0ajUaj0Wg0Go2mRaMtLRqNRqPRaDQajaZFo0WLRqPRaDQajUajadFo0aLRaDQajUaj0WhaNFq0aDQajUaj0Wg0mhaNFi2aE45Syk8p9YlS6v+UUlec7PZoTk+UUilKqQ+UUt+c7LZoTl+UUuc5n2U/KqVGnez2aE5flFIdlFLvKKW+UUrdcrLbo9GcaLRo0RwTlFIfKqVylVLrGi0/Sym1WSm1TSn1oHPxBcA3hmHcAJxzwhurOWU5nH5mGEa6YRjXnZyWak5lDrOf/eB8ll0DXHoSmqs5hTnMvrbRMIybgUsAXb9F85dDixbNseJj4Cz3BUopM/AmMAboCFymlOoIxAMZztXqT2AbNac+H3Po/UyjOVI+5vD72SPOzzWaw+FjDqOvKaXOAf4AZp7YZmo0Jx8tWjTHBMMw5gGFjRb3AbY5Z7xrgS+Bc4FMRLiA7oOaw+Aw+5lGc0QcTj9TwnPANMMwVpzotmpObQ73mWYYxlTDMAYA2rVa85dDDxg1x5M4XBYVELESB3wHXKiUehv46WQ0THNa0Ww/U0qFKaXeAborpR46OU3TnEbs73l2BzACuEgpdfPJaJjmtGN/z7RhSqnXlFLvAr+cnKZpNCcPy8lugOa0RjWzzDAMowKYdKIbozlt2V8/KwD0IFJzrNhfP3sNeO1EN0ZzWrO/vjYHmHNim6LRtBy0pUVzPMkEEtzexwN7TlJbNKcvup9pTgS6n2lOFLqvaTTNoEWL5niyFGirlGqllLIBE4CpJ7lNmtMP3c80JwLdzzQnCt3XNJpm0KJFc0xQSk0GFgKpSqlMpdR1hmHYgduB6cBG4GvDMNafzHZqTm10P9OcCHQ/05wodF/TaA4dZRjGyW6DRqPRaDQajUaj0ewXbWnRaDQajUaj0Wg0LRotWjQajUaj0Wg0Gk2LRosWjUaj0Wg0Go1G06LRokWj0Wg0Go1Go9G0aLRo0Wg0Go1Go9FoNC0aLVo0Go1Go9FoNBpNi0aLFo1Go9EcEKXUY0qpe092OzQajUbz10WLFo1Go9Ecd5RS5pPdBo1Go9GcumjRotFoNJomKKX+oZTarJT6HUh1LmutlPpVKbVcKTVfKdXebfkipdRSpdTjSqly5/JhSqnZSqkvgLVKKbNS6gXnemuUUje5He8+t+X/PhnfWaPRaDQtF8vJboBGo9FoWhZKqZ7ABKA78juxAlgOvAfcbBjGVqVUX+AtYDjwKvCqYRiTlVI3N9pdH6CzYRg7lFI3AiWGYfRWSnkBC5RSM4C2zlcfQAFTlVJDDMOYd/y/rUaj0WhOBbRo0Wg0Gk1jBgPfG4ZRCaCUmgp4AwOAKUqphvW8nH/7A+c5//8CeNFtX0sMw9jh/H8U0FUpdZHzfRAiVkY5Xyudy/2dy7Vo0Wg0Gg2gRYtGo9Fomsdo9N4EFBuGkXaY+6lw+18BdxiGMd19BaXUaOAZwzDePexWajQajeYvgY5p0Wg0Gk1j5gHnK6V8lFIBwHigEtihlLoYQAndnOsvAi50/j/hAPudDtyilLI699FOKeXnXH6tUsrfuTxOKRV5zL+VRqPRaE5ZtGjRaDQajQeGYawAvgJWAd8C850fXQFcp5RaDawHznUuvwu4Wym1BIgBSvaz6/eBDcAKpdQ64F3AYhjGDMStbKFSai3wDRBwjL+WRqPRaE5hlGE09gDQaDQajebQUUr5AlWGYRhKqQnAZYZhnHuw7TQajUajOVR0TItGo9FojpaewBtKIvSLgWtPbnM0Go1Gc7qhLS0ajUaj0Wg0Go2mRaNjWjQajUaj0Wg0Gk2LRosWjUaj0Wg0Go1G06LRokWj0Wg0Go1Go9G0aLRo0Wg0Go1Go9FoNC0aLVo0Go1Go9FoNBpNi+b/AWNcRkcGXNU7AAAAAElFTkSuQmCC", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='inverse_harmonic_mean_rank', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "27eaec4b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wandb.login()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "d8f7be4c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.14.0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230324_173738-akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run cerulean-moon-114 to Weights & Biases (docs)
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View project at https://wandb.ai/discoverylab/bioblp-jupyter-trial" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View run at https://wandb.ai/discoverylab/bioblp-jupyter-trial/runs/akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tags = {\"model_name\": BIOBLP_M),\n", + " \"study_name\": 'node_degree_trends_both_models_combined',\n", + " \"test_set_type\": TEST_RESTRICTED_ENT}\n", + "run = setup_wandb_result_tracker(**tags, \n", + " notes=f'combined lp results for {BIOBLP_M)} and {MODELS.get(ROTATE)}', \n", + " project_name='bioblp-jupyter-trial',\n", + " wandb_entity='discoverylab')" + ] + }, + { + "cell_type": "markdown", + "id": "2ee395db", + "metadata": {}, + "source": [ + "Save custom plots to Weights and biases" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "9d65cd04", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20230324-173105-hits_at_1_node_degree_analysis-rotate-otxtubeb-20230324-173105.png\n", + "20230324-173137-hits_at_10_node_degree_analysis-rotate-otxtubeb-20230324-173137.png\n", + "20230324-173248-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-20230324-173248.png\n", + "20230324-173341-hits_at_1_node_degree_analysis-bioblpp-cttc3ucm-20230324-173341.png\n", + "20230324-173404-hits_at_10_node_degree_analysis-bioblpp-cttc3ucm-20230324-173404.png\n", + "20230324-173426-inverse_harmonic_mean_rank_node_degree_analysis-bioblpp-cttc3ucm-20230324-173426.png\n", + "20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n" + ] + } + ], + "source": [ + "!ls {EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "309a4a8e", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_1_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "#degree_analysis_hits_at_10_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "degree_analysis_mrr_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "\n", + "wandb.log({\"hits@1_combined_bioblpm_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_and_bioblpm_path)})\n", + "wandb.log({\"hits@10_combined_bioblpm_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_and_bioblpm_path)})\n", + "wandb.log({\"mrr_combined_bioblpm_rotate\": wandb.Image(degree_analysis_mrr_rotate_and_bioblpm_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "383aabe7", + "metadata": {}, + "outputs": [], + "source": [ + "todo - change for bioblpp -> add the new diff plots!\n", + "todo - compare micro averages to sanity check" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "b55feefd", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_10_bioblpd_path = \"./data/imgs/node_analysis_hits_at_10_bioblpd.png\"\n", + "#degree_analysis_hits_at_1_bioblpd_path = \"./data/imgs/node_analysis_hits_at_1_bioblpd.png\"\n", + "\n", + "#wandb.log({\"hits@10_bioblpd\": wandb.Image(degree_analysis_hits_at_10_bioblpd_path)})\n", + "#wandb.log({\"hits@1_bioblpd\": wandb.Image(degree_analysis_hits_at_1_bioblpd_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d42dae6", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "c11ad3f4", + "metadata": {}, + "source": [ + "### Protein stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "8aaef695", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name='inverse_harmonic_mean_rank'\n", + "#metric_name='hits_at_1'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "#s_square = [n*n for n in props] \n", + "s_square = [n*n for n in num_unique_ents] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", + "#plt.xscale('log')\n", + "#ax.legend(title='# unique entities')\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTRIBUTE} entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpp \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTRIBUTE} node of certain node (training) degree) b/w both models, Vs. {ENTITY_TYPE_W_ATTRIBUTE} node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "f398138f", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'cmap' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [87]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\u001b[39;00m\n\u001b[1;32m 16\u001b[0m norm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mNormalize(num_unique_ents\u001b[38;5;241m.\u001b[39mmin(), num_unique_ents\u001b[38;5;241m.\u001b[39mmax())\n\u001b[1;32m 17\u001b[0m cbar \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mcolorbar(plt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mScalarMappable(norm\u001b[38;5;241m=\u001b[39mnorm,\n\u001b[0;32m---> 18\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[43mcmap\u001b[49m),\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m#ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\u001b[39;00m\n\u001b[1;32m 20\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m# test_triples per unique disease\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 21\u001b[0m d\n\u001b[1;32m 22\u001b[0m plot_\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mset_major_locator(ticker\u001b[38;5;241m.\u001b[39mIndexLocator(\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m0\u001b[39m))\n", + "\u001b[0;31mNameError\u001b[0m: name 'cmap' is not defined" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name='inverse_harmonic_mean_rank'\n", + "#metric_name='hits_at_10'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['count']/merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "s_linear = [n*n for n in props] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=s_linear, sizes=(10,200), c=num_unique_ents, cmap='flare')\n", + "plt.xscale('log')\n", + "ax.legend(title='#(test triples)', labels = ['6', '45', '85', '124', '164', '204'])\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel('Training degree for Disease entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\n", + "\n", + "norm = plt.Normalize(num_unique_ents.min(), num_unique_ents.max())\n", + "cbar = ax.figure.colorbar(plt.cm.ScalarMappable(norm=norm,\n", + " cmap=cmap),\n", + " #ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\n", + " label=r'# test_triples per unique disease')\n", + "\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpp \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTRIBUTE} node of certain node (training) degree) b/w both models, Vs. disease node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "a07552d9", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 187, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def colors_from_values(values, palette_name):\n", + " # normalize the values to range [0, 1]\n", + " normalized = (values - min(values)) / (max(values) - min(values))\n", + " # convert to indices\n", + " indices = np.round(normalized * (len(values) - 1)).astype(np.int32)\n", + " # use the indices to get the colors\n", + " palette = sns.color_palette(palette_name, len(values))\n", + " return np.array(palette).take(indices, axis=0)\n", + "plot, ax = plt.subplots(figsize=(20,20))\n", + "sns.barplot(ax=ax, x=degrees, y=metrics, palette=colors_from_values(props, \"flare\"))\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0ddab3e7", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "5cbc7366", + "metadata": {}, + "source": [ + "### Plots V1 - Separate series plotted for BioBLP-D and RotatE" + ] + }, + { + "cell_type": "markdown", + "id": "6356486b", + "metadata": {}, + "source": [ + "load from file" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "5ac463b2", + "metadata": {}, + "outputs": [], + "source": [ + "ENTITY_TYPE_W_ATTRIBUTE = 'Protein'\n", + "MODEL_NAME_SLUG = BIOBLP_D\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "LOAD_FROM_FILE=False\n", + "if LOAD_FROM_FILE:\n", + " with open(eval_out_dir.joinpath('node-degree-eval-new.json'), 'r') as f:\n", + " results_by_node_degree_dicts_bioblpd = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "f4353587", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "strftime() takes at least 1 argument (0 given)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[69], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mplot_metric_vs_degree_scatterplot_single_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmetric_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhits_at_1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mMODELS\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mROTATE\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mresults_by_node_degree_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresults_by_node_degree_dicts_rotate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mentity_type_examined\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mENTITY_TYPE_W_ATTRIBUTE\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[67], line 15\u001b[0m, in \u001b[0;36mplot_metric_vs_degree_scatterplot_single_model\u001b[0;34m(model_id, metric_name, results_by_node_degree_dict, figsize, entity_type_examined)\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mplot_metric_vs_degree_scatterplot_single_model\u001b[39m(model_id,\n\u001b[1;32m 10\u001b[0m metric_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhits_at_10\u001b[39m\u001b[38;5;124m'\u001b[39m, \n\u001b[1;32m 11\u001b[0m results_by_node_degree_dict\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 12\u001b[0m figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m7\u001b[39m,\u001b[38;5;241m7\u001b[39m),\n\u001b[1;32m 13\u001b[0m entity_type_examined\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 14\u001b[0m ):\n\u001b[0;32m---> 15\u001b[0m timestr \u001b[38;5;241m=\u001b[39m \u001b[43mtime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstrftime\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 16\u001b[0m degrees, metrics \u001b[38;5;241m=\u001b[39m extract_relevant_metrics(metric_name, results_by_node_degree_dict) \n\u001b[1;32m 17\u001b[0m plot, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(figsize\u001b[38;5;241m=\u001b[39mfigsize)\n", + "\u001b[0;31mTypeError\u001b[0m: strftime() takes at least 1 argument (0 given)" + ] + } + ], + "source": [ + "plot_metric_vs_degree_scatterplot_single_model(metric_name='hits_at_1',\n", + " model_id=MODELS.get(ROTATE),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "b77a6a87", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_metric_vs_degree_scatterplot_single_model(metric_name='hits_at_10', \n", + " model_id=MODELS.get(BIOBLP_P),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", + " figsize=(6,6))" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "f36469f8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "wandb version 0.13.10 is available! To upgrade, please run:\n", + " $ pip install wandb --upgrade" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.12.20" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230302_084743-1730mqbr" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run true-blaze-48 to Weights & Biases (docs)
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tags = {\"model_name\": MODEL_ID_bioblpp,\n", + " \"study_name\": 'node_degree_trend',\n", + " \"test_set_type\": TEST_RESTRICTED_DIS}\n", + "run = setup_wandb_result_tracker(**tags, project_name='bioblp-jupyter-trial', wandb_entity='discoverylab')" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "7aff055f", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name = \"hits_at_1\"\n", + "degrees, metrics = extract_relevant_metrics(metric_name, results_by_node_degree_dicts_bioblpdx)\n", + "data = [[x, y] for (x, y) in zip(degrees, metrics)]\n", + "table = wandb.Table(data=data, columns = [\"degrees\", \"metrics\"])\n", + "wandb.log({f\"bioblpd-{metric_name}_node_degree\" : wandb.plot.scatter(table, \"degrees\", \"metrics\")})\n" + ] + }, + { + "cell_type": "markdown", + "id": "98d17c9a", + "metadata": { + "tags": [] + }, + "source": [ + "#### RotatE" + ] + }, + { + "cell_type": "markdown", + "id": "b7036d62", + "metadata": {}, + "source": [ + "All plots below look quite similar!" + ] + }, + { + "cell_type": "markdown", + "id": "1e6f07fa", + "metadata": {}, + "source": [ + "load from file" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "abcd4398", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "MODEL_NAME_SLUG = ROTATE\n", + "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "\n", + "with open(eval_out_dir.joinpath('node-degree-eval-new.json'), 'r') as f:\n", + " results_by_node_degree_dicts_rotate = json.load(f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "aba837f2", + "metadata": {}, + "outputs": [ + { + "ename": "ImportError", + "evalue": "cannot import name 'plot_metric_vs_degree_scatterplot_single_model' from 'nb_utils.eval_utils' (/home/jovyan/BioBLP/notebooks/nb_utils/eval_utils.py)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[92], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_metric_vs_degree_scatterplot_single_model\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_metric_vs_degree_scatterplot_multi_models\n", + "\u001b[0;31mImportError\u001b[0m: cannot import name 'plot_metric_vs_degree_scatterplot_single_model' from 'nb_utils.eval_utils' (/home/jovyan/BioBLP/notebooks/nb_utils/eval_utils.py)" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.eval_utils import plot_metric_vs_degree_scatterplot_multi_models\n" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "92709e06", + "metadata": {}, + "outputs": [], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "0b8d84c0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "metric_name='hits_at_10'\n", + "MODEL_ID = BIOBLP_P\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODEL_ID,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTR_ENCODE)\n", + "#plt.savefig(f'data/imgs/{MODEL_ID}-{metric_name}-{ENTITY_TYPE_W_ATTRIBUTE}_node_degree_analysis')" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "58c7412a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", + "MODEL_ID = BIOBLP_P\n", + "metric_name=INVERSE_HARMONIC_MEAN_RANK\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODEL_IF,\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "418a5099", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", + "MODEL_ID_SLUG = ROTATE\n", + "metric_name=INVERSE_HARMONIC_MEAN_RANK\n", + "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", + " model_id=MODELS.get(MODEL_ID_SLUG),\n", + " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", + " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", + " )\n" + ] + }, + { + "cell_type": "markdown", + "id": "683e3156", + "metadata": { + "tags": [] + }, + "source": [ + "### combine into one graph" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "4879b403", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "img_outdir = Path('./data/imgs/')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "65726a60", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "model_result_dicts = {MODEL_ID_rotate: results_by_node_degree_dicts_rotate,\n", + " MODEL_ID_bioblpp: results_by_node_degree_dicts_bioblpp}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_1', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "39335842", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "8460c26c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='inverse_harmonic_mean_rank', results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "85f12c15", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wandb.login()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "b0c7256f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.14.0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230324_173738-akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run cerulean-moon-114 to Weights & Biases (docs)
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View project at https://wandb.ai/discoverylab/bioblp-jupyter-trial" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View run at https://wandb.ai/discoverylab/bioblp-jupyter-trial/runs/akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tags = {\"model_name\": MODELS.get(BIOBLP_P),\n", + " \"study_name\": 'node_degree_trends_both_models_combined',\n", + " \"test_set_type\": TEST_RESTRICTED_PROT}\n", + "run = setup_wandb_result_tracker(**tags, \n", + " notes=f'combined lp results for {MODELS.get(BIOBLP_P)} and {MODELS.get(ROTATE)}', \n", + " project_name='bioblp-jupyter-trial',\n", + " wandb_entity='discoverylab')" + ] + }, + { + "cell_type": "markdown", + "id": "48d23646", + "metadata": {}, + "source": [ + "Save custom plots to Weights and biases" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "b13ff525", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20230324-173105-hits_at_1_node_degree_analysis-rotate-otxtubeb-20230324-173105.png\n", + "20230324-173137-hits_at_10_node_degree_analysis-rotate-otxtubeb-20230324-173137.png\n", + "20230324-173248-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-20230324-173248.png\n", + "20230324-173341-hits_at_1_node_degree_analysis-bioblpp-cttc3ucm-20230324-173341.png\n", + "20230324-173404-hits_at_10_node_degree_analysis-bioblpp-cttc3ucm-20230324-173404.png\n", + "20230324-173426-inverse_harmonic_mean_rank_node_degree_analysis-bioblpp-cttc3ucm-20230324-173426.png\n", + "20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n" + ] + } + ], + "source": [ + "!ls {EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "a1517049", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_1_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "#degree_analysis_hits_at_10_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "degree_analysis_mrr_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "\n", + "wandb.log({\"hits@1_combined_bioblpd_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_and_bioblpp_path)})\n", + "wandb.log({\"hits@10_combined_bioblpd_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_and_bioblpp_path)})\n", + "wandb.log({\"mrr_combined_bioblpd_rotate\": wandb.Image(degree_analysis_mrr_rotate_and_bioblpp_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262e5cde", + "metadata": {}, + "outputs": [], + "source": [ + "todo - change for bioblpp -> add the new diff plots!\n", + "todo - compare micro averages to sanity check" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "ee38126a", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_10_bioblpd_path = \"./data/imgs/node_analysis_hits_at_10_bioblpd.png\"\n", + "#degree_analysis_hits_at_1_bioblpd_path = \"./data/imgs/node_analysis_hits_at_1_bioblpd.png\"\n", + "\n", + "#wandb.log({\"hits@10_bioblpd\": wandb.Image(degree_analysis_hits_at_10_bioblpd_path)})\n", + "#wandb.log({\"hits@1_bioblpd\": wandb.Image(degree_analysis_hits_at_1_bioblpd_path)})" + ] + }, + { + "cell_type": "markdown", + "id": "c149f73f", + "metadata": {}, + "source": [ + "## " + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "40c748c9", + "metadata": {}, + "outputs": [], + "source": [ + "test_entity_split_by_disease_descr_path = \"./data/imgs/eval_split_entity_view.png\"\n", + "test_triples_split_by_disease_descr_path = \"./data/imgs/eval_split_triples_view.png\"\n", + "wandb.log({\"Split test set entities conditioned on entity having properties with text modality\": wandb.Image(test_entity_split_by_disease_descr_path)})\n", + "wandb.log({\"Split test set triples conditioned on having node entities with properties of text modality\": wandb.Image(test_triples_split_by_disease_descr_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "id": "1eed6d6e", + "metadata": {}, + "outputs": [], + "source": [ + "degree_analysis_hits_at_10_rotate_path = \"./data/imgs/node_analysis_hits_at_10_rotate.png\"\n", + "degree_analysis_hits_at_1_rotate_path = \"./data/imgs/node_analysis_hits_at_1_rotate.png\"\n", + "\n", + "wandb.log({\"hits@10_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_path)})\n", + "wandb.log({\"hits@1_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_path)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1954cfdc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9fdb2d1a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bioblp-env", + "language": "python", + "name": "bioblp-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/nb_utils/artifact_registry.toml b/notebooks/nb_utils/artifact_registry.toml index e2ac78d..6338d9b 100644 --- a/notebooks/nb_utils/artifact_registry.toml +++ b/notebooks/nb_utils/artifact_registry.toml @@ -7,6 +7,7 @@ graph_dir = "graph" # relative to biokgb_data_root_dir properties_dir = "properties" # relative to biokgb_data_root_dir [biokgb_graph.data_splits] +train = 'biokg.links-train.csv' valid = 'biokg.links-valid.csv' # relative to biokgb_graph.graph_dir test = 'biokg.links-test.csv' dummy = 'biokg.links-dummy.csv' @@ -16,12 +17,16 @@ dummy = 'biokg.links-dummy.csv' [biokgb_graph.properties.entity_type_metadata_paths] disease = "biokg.metadata.disease.tsv" # relative to biokgb_properties.property_dir protein = "biokg.metadata.protein.tsv" -# molecule = None +drug = "biokg.metadata.drug.tsv" +pathway = "biokg.metadata.pathway.tsv" +genetic_disorder = "biokg.metadata.genetic_disorder.tsv" + [biokgb_graph.properties.entity_attribute_paths] disease = "biokg_meshid_to_descr_name.tsv" # relative to biokgb_properties.property_dir protein = "protein_embeddings_full_24_12_protid_idx_mapping.json" -# molecule = None +drug = "biokg_molecule_embeddings_idx_mapping.json" +# drug = "biokg_molecule_embeddings.pt" # model registry [kge_models] @@ -35,4 +40,5 @@ protein = "protein_embeddings_full_24_12_protid_idx_mapping.json" rotate-otxtubeb = "rotate-otxtubeb" bioblpd-38uz9fjs = "bioblpd-38uz9fjs" bioblpp-cttc3ucm = "bioblpp-cttc3ucm" +bioblpm-5rxz3k57 = "bioblpm-5rxz3k57" diff --git a/notebooks/nb_utils/eval_utils.py b/notebooks/nb_utils/eval_utils.py index fbb50a8..741c3b6 100644 --- a/notebooks/nb_utils/eval_utils.py +++ b/notebooks/nb_utils/eval_utils.py @@ -2,6 +2,8 @@ from enum import Enum import matplotlib.pyplot as plt from .config import GraphRegistryConfig +from .config import ModelRegistryConfig +import json import numpy as np import pandas as pd from pathlib import Path @@ -12,17 +14,22 @@ from tqdm import tqdm import wandb import time +from abc import ABC +from dataclasses import dataclass + ###### Define CONSTANTS ###### TEST = "test" VALID = "valid" TRAIN = "train" -TEST_RESTRICTED_DIS = 'TEST_RESTRICTED_DIS' -TEST_EXCLUDING_DIS = 'TEST_EXCLUDING_DIS' -VALID_RESTRICTED_DIS = 'VALID_RESTRICTED_DIS' -TEST_RESTRICTED_PROT = 'TEST_RESTRICTED_PROT' -TEST_EXCLUDING_PROT = 'TEST_EXCLUDING_PROT' - +DUMMY = "dummy" +TEST_RESTRICTED_DIS = "TEST_RESTRICTED_DIS" +TEST_EXCLUDING_DIS = "TEST_EXCLUDING_DIS" +VALID_RESTRICTED_DIS = "VALID_RESTRICTED_DIS" +TEST_RESTRICTED_PROT = "TEST_RESTRICTED_PROT" +TEST_EXCLUDING_PROT = "TEST_EXCLUDING_PROT" +TEST_RESTRICTED_ENT = "TEST_RESTRICTED_ENT" +TEST_EXCLUDING_ENT = "TEST_EXCLUDING_ENT" COL_SOURCE = "src" COL_TARGET = "tgt" @@ -32,6 +39,77 @@ IN_DEGREE = "in_degree" OUT_DEGREE = "out_degree" + +DISEASE = 'disease' +DRUG = 'drug' +PROTEIN = 'protein' + +##### Relations ##### + +DPI = "DPI" +DRUG_CARRIER = "DRUG_CARRIER" +DRUG_ENZYME = 'DRUG_ENZYME' +DRUG_TARGET = 'DRUG_TARGET' +DRUG_TRANSPORTER = 'DRUG_TRANSPORTER' +MEMBER_OF_COMPLEX = 'MEMBER_OF_COMPLEX' +PPI = 'PPI' +PROTEIN_DISEASE_ASSOCIATION = 'PROTEIN_DISEASE_ASSOCIATION' +PROTEIN_PATHWAY_ASSOCIATION = 'PROTEIN_PATHWAY_ASSOCIATION' +RELATED_GENETIC_DISORDER = 'RELATED_GENETIC_DISORDER' +DDI = 'DDI' +DRUG_DISEASE_ASSOCIATION = 'DRUG_DISEASE_ASSOCIATION' +DRUG_PATHWAY_ASSOCIATION = 'DRUG_PATHWAY_ASSOCIATION' +DRUG_TRANSPORTER = 'DRUG_TRANSPORTER' + +PROT_ASSOC_REL_NAMES = [DPI, DRUG_CARRIER, DRUG_ENZYME, + DRUG_TARGET, DRUG_TRANSPORTER, MEMBER_OF_COMPLEX, + PPI, PROTEIN_DISEASE_ASSOCIATION, + PROTEIN_PATHWAY_ASSOCIATION, RELATED_GENETIC_DISORDER] + +DRUG_ASSOC_REL_NAMES = [DDI, DPI, DRUG_CARRIER, DRUG_DISEASE_ASSOCIATION, + DRUG_ENZYME, DRUG_PATHWAY_ASSOCIATION, DRUG_TARGET, + DRUG_TRANSPORTER] + +DISEASE_ASSOC_REL_NAMES = [] +DEFAULT_RELATIVE_EVAL_DIR = "./metrics/" + + +# todo infer this programmatically, but it might require iterating through all entities +ENT_ASSOC_REL_NAMES = { + DISEASE: {COL_SOURCE: [], + COL_TARGET: [] + }, + PROTEIN: {COL_SOURCE: [MEMBER_OF_COMPLEX, + PPI, + PROTEIN_DISEASE_ASSOCIATION, + PROTEIN_PATHWAY_ASSOCIATION, + RELATED_GENETIC_DISORDER, + ], + COL_TARGET: [DPI, + DRUG_CARRIER, + DRUG_ENZYME, + DRUG_TARGET, + DRUG_TRANSPORTER, + ], + }, + DRUG: {COL_SOURCE: [DDI, DPI, DRUG_CARRIER, DRUG_DISEASE_ASSOCIATION, + DRUG_ENZYME, DRUG_PATHWAY_ASSOCIATION, DRUG_TARGET, + DRUG_TRANSPORTER], + COL_TARGET: [] + }, +} + + + +def test_rel_list_validity(rel_list, train_triples): + ''' + e.g.: test_rel_list_validity(ENT_ASSOC_REL_NAMES[PROTEIN][COL_TARGET], train_triples) + ''' + for rel in rel_list: + assert rel in train_triples.relation_to_id, f"{rel} not in training relations" + + + # WandB stuff WANDB_ENTITY_DISCOVERYLAB = "discoverylab" @@ -350,3 +428,236 @@ def compute_node_degrees_in_out(triple_df): return node_degree_df + +def get_unique_endpoint_entities_in_testset_of_given_degree(test_df, degree, node_endpoint_type=None,): + if node_endpoint_type not in [COL_SOURCE, COL_TARGET]: + raise ValueError(f"Invalid node end point type {node_endpoint_type}. Allowed values are '{COL_SOURCE}' and '{COL_TARGET}'") + test_subset = test_df[test_df[f"{node_endpoint_type}_training_degree"]==degree] + test_unique_ents = test_subset[node_endpoint_type].unique() + return test_unique_ents + + +class NodeDegreeEvalAnalyser(ABC): + ''' + should be general enough to support 3 degrees of freedom in eval: + - model used + - entity type with attribute (protein/molecule/disease) -> THIS IS HANDLED OUTSIDE for now + - whether head/tail entity is being predicted (and thus keeping track of assoc rels) + + ''' + def __init__(self, + train_triples: TriplesFactory, + rels_assoc_by_node_endpoint_type_dict: dict): + super().__init__() + self.node_train_degree_dict = None + self._compute_train_node_degree(train_triples=train_triples) + self.rels_assoc_by_node_endpoint_type_dict = rels_assoc_by_node_endpoint_type_dict + self.report = EvalReport() + + def _compute_train_node_degree(self, train_triples): + training_df = pd.DataFrame(train_triples.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET]) + node_train_degree_df = compute_node_degrees_in_out(training_df) + node_train_degree_dict = pd.Series(node_train_degree_df.degree.values,index=node_train_degree_df.ent).to_dict() + self.node_train_degree_dict = node_train_degree_dict + + def prep_test_data(self, test_triples): + # now bucket the test triples according to node degree + test_triples_with_degree_df = pd.DataFrame(test_triples.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET]) + test_triples_with_degree_df["src_training_degree"] = test_triples_with_degree_df[COL_SOURCE].apply(lambda node: self.node_train_degree_dict.get(node, 0)) + test_triples_with_degree_df["tgt_training_degree"] = test_triples_with_degree_df[COL_TARGET].apply(lambda node: self.node_train_degree_dict.get(node, 0)) + return test_triples_with_degree_df + + def evaluate(self, + entity_type_to_predict, + node_endpoint_to_predict, + test_triples, + model_id, + train_triples, + valid_triples, + model_registry_cfg=None, + test_set_slug=TEST): + # self.node_endpoint_to_predict = node_endpoint_to_predict + test_triples_with_degree_df = self.prep_test_data(test_triples) + test_triples_with_degree_subset_df = self._create_test_df_subset_given_node_endpoint_type_to_predict(test_df = test_triples_with_degree_df, + entity_type_to_predict=entity_type_to_predict, + node_endpoint_to_predict = node_endpoint_to_predict) + + results_by_node_degree = compute_metrics_over_triples_with_ent_node_endpoint(model_id=model_id, + test_triples_w_node_degree_df=test_triples_with_degree_subset_df, + test_set_slug=test_set_slug, + entity_type_to_predict=entity_type_to_predict, + node_endpoint_type=node_endpoint_to_predict, + train_triples=train_triples, + valid_triples=valid_triples, + rels_assoc_by_node_endpoint_type_dict=self.rels_assoc_by_node_endpoint_type_dict, + model_registry_cfg=model_registry_cfg) + + + return results_by_node_degree + + + + + def format_eval_results(self, eval_results, eval_triple_endpoint_list=[EVAL_NODE_HEAD], eval_metric_type=EVAL_METRIC_REALISTIC): + results_by_node_degree_dicts = {} + for eval_triple_endpoint in eval_triple_endpoint: + + for result in eval_results: + results_by_node_degree_dicts[result['ent_degree']] = make_results_dict_all_rel(result['results'], + relation=result['relation'], + relation_count=result['count'], + triple_endpoint=eval_triple_endpoint, + metric_type=eval_metric_type + ) + return results_by_node_degree_dicts + + def evaluate_and_format(self, + entity_type_to_predict, + node_endpoint_to_predict, + test_triples, + model_id, + train_triples, + valid_triples, + model_registry_cfg=None, + test_set_slug=TEST, + eval_triple_endpoint_list=[EVAL_NODE_HEAD, EVAL_NODE_TAIL], + eval_metric_type=EVAL_METRIC_REALISTIC, + eval_out_dir=None, + write_results_to_file=True +): + results_by_node_degree = self.evaluate(entity_type_to_predict, + node_endpoint_to_predict, + test_triples, + model_id, + train_triples, + valid_triples, + model_registry_cfg=None, + test_set_slug=TEST) + + results_by_node_degree_dicts = self.format_eval_results(results_by_node_degree, + eval_triple_endpoint_list=eval_triple_endpoint_list, + eval_metric_type=eval_metric_type) + # self.report.results_dict = results_by_node_degree_dicts + + if write_results_to_file: + if not eval_out_dir: + eval_out_dir = DEFAULT_RELATIVE_EVAL_DIR + + timestr = time.strftime("%Y%m%d-%H%M%S") + eval_out_dir = Path(eval_out_dir).joinpath(f"{model_id}/{timestr}") + eval_out_dir.mkdir(exist_ok=True, parents=True) + + for eval_triple_endpoint_key, endpoint_results_dict in results_by_node_degree_dicts.items(): + eval_out_file = eval_out_dir.joinpath(f"{eval_triple_endpoint_key}-node-degree-eval.json") + eval_metadata = eval_out_dir.joinpath(f"{eval_triple_endpoint_key}-metadata.json") + + with open(eval_out_file, "w+") as f: + print(f"Writing results to {str(eval_out_file)}") + json.dump(endpoint_results_dict, f) + + print(f"Writing results to {str(eval_out_file)}") + with open(eval_metadata_file, "w+") as f: + metadata_dict={ + "model_id": model_id, + "entity_type_to_predict": entity_type_to_predict, + "eval_triple_endpoint_key": eval_triple_endpoint_key, + "eval_metric_type": eval_metric_type + } + json.dump(metadata_dict, f) + + return results_by_node_degree_dicts + + + def write_to_file(self, write_results_to_file=True, eval_out_dir=None, results_by_node_degree_dicts=None, + entity_type_to_predict=DRUG, node_endpoint_to_predict=COL_SOURCE): + + if write_results_to_file: + if not eval_out_dir: + eval_out_dir = DEFAULT_RELATIVE_EVAL_DIR + + timestr = time.strftime("%Y%m%d-%H%M%S") + eval_out_dir = Path(eval_out_dir).joinpath(f"{model_id}/{timestr}") + eval_out_dir.mkdir(exist_ok=True, parents=True) + + eval_out_file = eval_out_dir.joinpath("node-degree-eval.json") + eval_metadata_file = eval_out_dir.joinpath("metadata.json") + + print(f"Writing results to {str(eval_out_file)}") + with open(eval_out_file, "w+") as f: + json.dump(results_by_node_degree_dicts, f) + + with open(eval_metadata_file, "w+") as f: + metadata_dict={ + "model_id": model_id, + "entity_type_to_predict": entity_type_to_predict, + "node_endpoint_to_predict": node_endpoint_to_predict, + "eval_metric_type": eval_metric_type + } + json.dump(metadata_dict, f) + def format_eval_results(self, eval_results, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC): + results_by_node_degree_dicts = {} + for result in eval_results: + results_by_node_degree_dicts[result['ent_degree']] = make_results_dict_all_rel(result['results'], + relation=result['relation'], + relation_count=result['count'], + triple_endpoint=eval_triple_endpoint, + metric_type=eval_metric_type + ) + return results_by_node_degree_dicts + + + def _create_test_df_subset_given_node_endpoint_type_to_predict(self, + test_df, + entity_type_to_predict, + node_endpoint_to_predict): + test_subset_df = test_df.loc[test_df[COL_EDGE].isin(self.rels_assoc_by_node_endpoint_type_dict.get(entity_type_to_predict).get(node_endpoint_to_predict))] + return test_subset_df + + + +@dataclass +class EvalReport: + results_dict: dict = None + + + + +def compute_metrics_over_triples_with_ent_node_endpoint(model_id, + test_triples_w_node_degree_df, + test_set_slug, + node_endpoint_type, + train_triples, + valid_triples, + entity_type_to_predict, + rels_assoc_by_node_endpoint_type_dict, + model_registry_cfg: ModelRegistryConfig, +): + col_node_degree = f"{node_endpoint_type}_training_degree" # if predicting head, this should be the 'src_training_degree' + evaluator = RankBasedEvaluator(filtered=True) + model_base_path = model_registry_cfg.registered_model_paths.get(model_id) + model = load_kge_model(model_base_path=model_base_path) + print(f'loaded model from {str(model_base_path)}') + additional_filter_triples = obtain_filtered_triples(test_type=test_set_slug, + train_triples=train_triples, + valid_triples=valid_triples + ) + + test_triples_with_ent_node_endpoint_df = test_triples_w_node_degree_df.loc[test_triples_w_node_degree_df[COL_EDGE].isin( + rels_assoc_by_node_endpoint_type_dict.get(entity_type_to_predict)[node_endpoint_type])] + ent_degree_values = test_triples_with_ent_node_endpoint_df[col_node_degree].unique() + result_dicts = [] + + for degree_val in tqdm(ent_degree_values): + df_subset = test_triples_with_ent_node_endpoint_df.loc[test_triples_with_ent_node_endpoint_df[col_node_degree]==degree_val][[COL_SOURCE, COL_EDGE, COL_TARGET]] + triples_subset = df_subset.values + triples_subset = TriplesFactory.from_labeled_triples(triples_subset, + relation_to_id=train_triples.relation_to_id, + entity_to_id=train_triples.entity_to_id) + if triples_subset.num_triples > 0: + subset_result = evaluator.evaluate(model, + triples_subset.mapped_triples, + additional_filter_triples=additional_filter_triples, + use_tqdm=False) + result_dicts.append({'ent_degree': degree_val, 'results': subset_result, 'relation': 'All', 'count': triples_subset.num_triples}) + return result_dicts + diff --git a/notebooks/nb_utils/plot_utils.py b/notebooks/nb_utils/plot_utils.py new file mode 100644 index 0000000..0d04115 --- /dev/null +++ b/notebooks/nb_utils/plot_utils.py @@ -0,0 +1,72 @@ +from abc import ABC +from enum import Enum +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from pathlib import Path +from pykeen.triples import TriplesFactory +from pykeen.evaluation import RankBasedEvaluator +import seaborn as sns +from tqdm import tqdm +import wandb +import time + + +DEFAULT_EVAL_IMG_DIR = "./data/imgs/" + +#### Plotting utils + +def extract_relevant_metrics(metric_name, results_by_node_degree_dict): + degrees = list(results_by_node_degree_dict.keys()) + metrics = [] + for deg, metric in results_by_node_degree_dict.items(): + metrics.append(metric[metric_name]) + return degrees, metrics + + +def plot_metric_vs_degree_scatterplot_single_model(model_id, + metric_name='hits_at_10', + results_by_node_degree_dict=None, + figsize=(7,7), + entity_type_examined=None, + eval_out_dir=DEFAULT_EVAL_IMG_DIR + ): + timestr = time.strftime("%Y%m%d-%H%M%S") + eval_out_dir = Path(eval_out_dir) + eval_out_dir.mkdir(exist_ok=True, parents=True) + degrees, metrics = extract_relevant_metrics(metric_name, results_by_node_degree_dict) + plot, ax = plt.subplots(figsize=figsize) + sns.scatterplot(ax = ax, x=degrees, y=metrics) + plt.xscale('log') + plt.ylabel(metric_name) + plt.title(f'Average {metric_name} predicting {entity_type_examined} nodes Vs. {entity_type_examined} node degree | Model: {model_id}') + plt.savefig(eval_out_dir.joinpath(f'{timestr}-{metric_name}_node_degree_analysis-{model_id}')) + plt.show() + + + +def plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', + results_by_node_degree_dicts_combined=None, + entity_type_examined=None, eval_out_dir=DEFAULT_EVAL_IMG_DIR + ): + result_dfs = {} + timestr = time.strftime("%Y%m%d-%H%M%S") + eval_out_dir = Path(eval_out_dir) + eval_out_dir.mkdir(exist_ok=True, parents=True) + for model_id, result_dict in results_by_node_degree_dicts_combined.items(): + degrees, metrics = extract_relevant_metrics(metric_name, result_dict) + result_dfs[model_id] = pd.DataFrame(np.column_stack([degrees, metrics]), columns=['degree', 'metrics'], dtype=float) + model_ids = result_dfs.keys() + if len(model_ids)>2: + raise ValueError("This function currently handles results from 2 models. Amend logic to handle >2 models") + + concatenated = pd.concat([result_dfs[model_id].assign(dataset=f'{model_id}') for model_id in model_ids]) + plot, ax = plt.subplots(figsize=(10,10)) + sns.scatterplot(ax=ax, data=concatenated, x='degree', y='metrics', hue='dataset') + plt.xscale('log') + plt.ylabel(metric_name) + plt.title(f'Average {metric_name} predicting {entity_type_examined} nodes Vs. {entity_type_examined} node degree | Model: {list(model_ids)}') + plt.savefig(eval_out_dir.joinpath(f"{timestr}-{metric_name}_node_degree_analysis-{'-'.join(list(model_ids))}")) + + #return degrees, metrics + \ No newline at end of file From 3504d9da2624daa4171d57da4bc6c614eb8906d1 Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Thu, 20 Apr 2023 10:10:31 +0000 Subject: [PATCH 03/10] refactor node degree eval --- .../07_04_01_eval_lp_node_degree_effect.ipynb | 3515 ++++------------- notebooks/nb_utils/artifact_registry.toml | 2 +- notebooks/nb_utils/config.py | 4 +- notebooks/nb_utils/eval_utils.py | 157 +- 4 files changed, 756 insertions(+), 2922 deletions(-) diff --git a/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb index fcace69..a18fb04 100644 --- a/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb +++ b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "25917740", + "id": "362cdaac", "metadata": {}, "outputs": [], "source": [ @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "ce8c87d9", + "id": "e281b358", "metadata": {}, "source": [ "### Imports" @@ -22,7 +22,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "829d6165", + "id": "048fab98", "metadata": {}, "outputs": [ { @@ -55,17 +55,28 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "640aadcb", + "execution_count": 138, + "id": "058c57e8", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ImportError", + "evalue": "cannot import name 'TEST_RESTRICTED_PROT' from 'nb_utils.eval_utils' (/home/jovyan/BioBLP/notebooks/nb_utils/eval_utils.py)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[138], line 19\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m TEST, TRAIN, VALID, DUMMY\n\u001b[0;32m---> 19\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m TEST_RESTRICTED_PROT, TEST_RESTRICTED_DIS, TEST_RESTRICTED_DRUG\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ENT_SPECIFIC_TEST_SET_STUBS\n", + "\u001b[0;31mImportError\u001b[0m: cannot import name 'TEST_RESTRICTED_PROT' from 'nb_utils.eval_utils' (/home/jovyan/BioBLP/notebooks/nb_utils/eval_utils.py)" + ] + } + ], "source": [ "from nb_utils.eval_utils import TEST, VALID, TRAIN, DUMMY\n", "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, EVAL_METRICS_SHORTLIST\n", "from nb_utils.eval_utils import COL_SOURCE, COL_TARGET, COL_EDGE, COL_NODE, DEGREE, IN_DEGREE, OUT_DEGREE\n", "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", "from nb_utils.eval_utils import setup_wandb_result_tracker, run_experiment_and_log_wandb\n", - "#from nb_utils.eval_utils import make_results_dict_all_rel, make_results_dict_rel_breakdown\n", "from nb_utils.eval_utils import compute_node_degrees_in_out\n", "from nb_utils.eval_utils import load_kge_model\n", "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", @@ -77,34 +88,47 @@ "from nb_utils.config import GraphRegistryConfig, EntityType\n", "from nb_utils.config import PROTEIN, DRUG, DISEASE\n", "from nb_utils.eval_utils import ENT_ASSOC_REL_NAMES, EVAL_METRIC_REALISTIC, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", - "from nb_utils.eval_utils import PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n" + "from nb_utils.eval_utils import PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n", + "from nb_utils.eval_utils import TEST, TRAIN, VALID, DUMMY\n", + "from nb_utils.eval_utils import TEST_RESTRICTED_PROT, TEST_RESTRICTED_DIS, TEST_RESTRICTED_DRUG\n", + "from nb_utils.eval_utils import ENT_SPECIFIC_TEST_SET_STUBS" ] }, { "cell_type": "markdown", - "id": "f3475486", + "id": "6cc28c19", "metadata": {}, "source": [ "### load data" ] }, + { + "cell_type": "markdown", + "id": "f1566c2b", + "metadata": {}, + "source": [ + "1. add the paths to the following models and biokg files in ./nb_utils/artifact_registry.toml\n", + "2. " + ] + }, { "cell_type": "code", - "execution_count": 4, - "id": "cdcb4706", + "execution_count": 93, + "id": "20dabcfa", "metadata": {}, "outputs": [], "source": [ "ROTATE = \"rotate-otxtubeb\"\n", - "BIOBLP_D = \"bioblpd-38uz9fjs\" \n", + "BIOBLP_D = \"bioblpd-38uz9fjs-16-03-2023\" \n", + "BIOBLP_D_old = \"bioblpd-38uz9fjs\" \n", "BIOBLP_P = \"bioblpp-cttc3ucm\"\n", "BIOBLP_M = \"bioblpm-5rxz3k57\"" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "e674929c", + "execution_count": 94, + "id": "ab967fe5", "metadata": {}, "outputs": [], "source": [ @@ -116,8 +140,8 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "910e479b", + "execution_count": 95, + "id": "b45fc1b2", "metadata": {}, "outputs": [ { @@ -126,7 +150,7 @@ "GraphRegistryConfig(biokgb_data_splits={'train': PosixPath('../data/biokgb/graph/biokg.links-train.csv'), 'valid': PosixPath('../data/biokgb/graph/biokg.links-valid.csv'), 'test': PosixPath('../data/biokgb/graph/biokg.links-test.csv'), 'dummy': PosixPath('../data/biokgb/graph/biokg.links-dummy.csv')}, biokgb_entity_type_metadata_paths={'disease': PosixPath('../data/biokgb/properties/biokg.metadata.disease.tsv'), 'protein': PosixPath('../data/biokgb/properties/biokg.metadata.protein.tsv'), 'drug': PosixPath('../data/biokgb/properties/biokg.metadata.drug.tsv'), 'pathway': PosixPath('../data/biokgb/properties/biokg.metadata.pathway.tsv'), 'genetic_disorder': PosixPath('../data/biokgb/properties/biokg.metadata.genetic_disorder.tsv')}, biokgb_entity_attribute_paths={'disease': PosixPath('../data/biokgb/properties/biokg_meshid_to_descr_name.tsv'), 'protein': PosixPath('../data/biokgb/properties/protein_embeddings_full_24_12_protid_idx_mapping.json'), 'drug': PosixPath('../data/biokgb/properties/biokg_molecule_embeddings_idx_mapping.json')})" ] }, - "execution_count": 6, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -138,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "aee98323", + "id": "43c47015", "metadata": { "tags": [] }, @@ -148,18 +172,18 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "83887b6e", + "execution_count": 45, + "id": "d60d4a59", "metadata": {}, "outputs": [], "source": [ - "MODEL_ID = ROTATE \n", - "ENTITY_TYPE_W_ATTR_ENCODE = DRUG # DRUG #EntityType{Protein}.value" + "MODEL_ID = ROTATE # BIOBLP_D\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE # EntityType{Disease}.value" ] }, { "cell_type": "markdown", - "id": "da6c39b8", + "id": "68bebc06", "metadata": {}, "source": [ "### load triples data" @@ -167,94 +191,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "e7bd02c3", - "metadata": {}, - "outputs": [], - "source": [ - "# load training splits\n", - "train = TriplesFactory.from_path_binary(model_training_paths[MODEL_ID])\n", - "\n", - "\n", - "valid, test, dummy = [TriplesFactory.from_path(f,\n", - " entity_to_id=train.entity_to_id,\n", - " relation_to_id=train.relation_to_id)\n", - " for f in (map(graph_cfg.biokgb_data_splits.get, [VALID, TEST, DUMMY]))]\n" - ] - }, - { - "cell_type": "markdown", - "id": "6c55de74", - "metadata": {}, - "source": [ - "creating a dummy set of triples for unit testing purposes" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "91e0d04f", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "dummy_triples_path = graph_cfg.biokgb_data_splits[DUMMY]\n", - "if not dummy_triples_path.exists:\n", - " print(f'Slicing test triples to create a batch of dummy triples and saving to {str(dummy_triples_path)}')\n", - " dummy_df = pd.read_csv(graph_path.joinpath(test_triples), sep=\"\\t\", header=None)[:50]\n", - " dummy_df.to_csv(dummy_triples_path, sep=\"\\t\", index=None, header=None)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "912fa1fe", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'COMPLEX_IN_PATHWAY': 0,\n", - " 'COMPLEX_TOP_LEVEL_PATHWAY': 1,\n", - " 'DDI': 2,\n", - " 'DISEASE_GENETIC_DISORDER': 3,\n", - " 'DISEASE_PATHWAY_ASSOCIATION': 4,\n", - " 'DPI': 5,\n", - " 'DRUG_CARRIER': 6,\n", - " 'DRUG_DISEASE_ASSOCIATION': 7,\n", - " 'DRUG_ENZYME': 8,\n", - " 'DRUG_PATHWAY_ASSOCIATION': 9,\n", - " 'DRUG_TARGET': 10,\n", - " 'DRUG_TRANSPORTER': 11,\n", - " 'MEMBER_OF_COMPLEX': 12,\n", - " 'PPI': 13,\n", - " 'PROTEIN_DISEASE_ASSOCIATION': 14,\n", - " 'PROTEIN_PATHWAY_ASSOCIATION': 15,\n", - " 'RELATED_GENETIC_DISORDER': 16}" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "train.relation_to_id\n" - ] - }, - { - "cell_type": "markdown", - "id": "e3ac96ad", - "metadata": {}, - "source": [ - "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "2c606291", + "execution_count": 16, + "id": "cab0718a", "metadata": {}, "outputs": [ { @@ -264,7 +202,7 @@ "" ] }, - "execution_count": 11, + "execution_count": 16, "metadata": { "image/png": { "width": 500 @@ -280,8 +218,8 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "db110b78", + "execution_count": 17, + "id": "f4a6bb11", "metadata": { "tags": [] }, @@ -293,7 +231,7 @@ "" ] }, - "execution_count": 12, + "execution_count": 17, "metadata": { "image/png": { "width": 450 @@ -307,22 +245,88 @@ "Image('data/imgs/eval_split_triples_view.png', width=450)" ] }, + { + "cell_type": "code", + "execution_count": 119, + "id": "4649c46b", + "metadata": {}, + "outputs": [], + "source": [ + "# load training splits\n", + "train = TriplesFactory.from_path_binary(model_training_paths[MODEL_ID])\n", + "\n", + "\n", + "valid, test, dummy = [TriplesFactory.from_path(f,\n", + " entity_to_id=train.entity_to_id,\n", + " relation_to_id=train.relation_to_id)\n", + " for f in (map(graph_cfg.biokgb_data_splits.get, [VALID, TEST, DUMMY]))]\n" + ] + }, { "cell_type": "markdown", - "id": "f9187545", + "id": "9d794ce7", "metadata": {}, "source": [ - "load molecules " + "creating a dummy set of triples for unit testing purposes" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "0e2bbe4d", + "execution_count": 120, + "id": "71b97024", "metadata": { + "jupyter": { + "source_hidden": true + }, "tags": [] }, + "outputs": [], + "source": [ + "dummy_triples_path = graph_cfg.biokgb_data_splits[DUMMY]\n", + "if not dummy_triples_path.exists:\n", + " print(f'Slicing test triples to create a batch of dummy triples and saving to {str(dummy_triples_path)}')\n", + " dummy_df = pd.read_csv(graph_path.joinpath(test_triples), sep=\"\\t\", header=None)[:50]\n", + " dummy_df.to_csv(dummy_triples_path, sep=\"\\t\", index=None, header=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "54c59865", + "metadata": {}, + "outputs": [], + "source": [ + "triples_dict = {\n", + " TEST: test,\n", + " VALID: valid,\n", + " TRAIN: train, \n", + " DUMMY: dummy, \n", + "}\n", + "\n", + "#TEST_SET_LIST = [TEST, VALID] \n" + ] + }, + { + "cell_type": "markdown", + "id": "7b23de6e", + "metadata": {}, + "source": [ + "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "7e83d174", + "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating test sets with triples restricted to containing drug\n" + ] + }, { "name": "stderr", "output_type": "stream", @@ -344,30 +348,83 @@ "text": [ "Reconstructing all label-based triples. This is expensive and rarely needed.\n" ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating test sets with triples restricted to containing protein\n", + "# protein entities in larger biokg (pre-benchmark removal): 122902\n", + "# protein entities for which we have attributes: 121988\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating test sets with triples restricted to containing disease\n", + "# disease entities in larger biokg (pre-benchmark removal): 11347\n", + "# disease entities for which we have attributes: 11347\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "text/plain": [ + "dict_keys(['test', 'valid', 'train', 'dummy', 'TEST_RESTRICTED_DRUG', 'TEST_RESTRICTED_PROTEIN', 'TEST_RESTRICTED_DISEASE'])" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "test_triples_incl_ent_prop, test_triples_excl_ent_prop = create_entity_attr_aware_test_sets(entity_type_w_attribute=ENTITY_TYPE_W_ATTR_ENCODE,\n", + "LIST_ENTITY_TYPES_W_ATTRIBUTE = [DRUG, PROTEIN, DISEASE]\n", + "\n", + "for ent_type in LIST_ENTITY_TYPES_W_ATTRIBUTE:\n", + " print(f\"Creating test sets with triples restricted to containing {ent_type}\")\n", + " test_triples_incl_ent_prop, test_triples_excl_ent_prop = create_entity_attr_aware_test_sets(entity_type_w_attribute=ent_type,\n", " graph_cfg=graph_cfg,\n", " train=train,\n", - " test=test)\n", - " " + " test=test) \n", + " triples_dict.update({ENT_SPECIFIC_TEST_SET_STUBS[ent_type]: test_triples_incl_ent_prop})\n", + " \n", + " \n", + "triples_dict.keys()" ] }, { "cell_type": "code", - "execution_count": 17, - "id": "8cdc1648", + "execution_count": 46, + "id": "f245e36e", "metadata": {}, "outputs": [], "source": [ - "test_rel_list_validity(ENT_ASSOC_REL_NAMES[PROTEIN][COL_TARGET], train)\n" + "# check relations are present in train set\n", + "test_rel_list_validity(ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_TARGET], train)\n", + "test_rel_list_validity(ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_SOURCE], train)\n" ] }, { "cell_type": "code", - "execution_count": 18, - "id": "25bcf445", + "execution_count": 142, + "id": "0c2e32fd", "metadata": {}, "outputs": [ { @@ -376,40 +433,21 @@ "text": [ "# triples originally in test: 185227, valid: 185226\n", "# test triples with drug nodes: 123636\n", - "# test triples without drug nodes: 61591\n" + "# test triples with protein nodes: 54064\n", + "# test triples with disease nodes: 17063\n" ] } ], "source": [ "# create set of triples\n", "print(f\"# triples originally in test: {test.num_triples}, valid: {valid.num_triples}\")\n", - "print(f\"# test triples with {ENTITY_TYPE_W_ATTR_ENCODE} nodes: {test_triples_incl_ent_prop.num_triples}\")\n", - "print(f\"# test triples without {ENTITY_TYPE_W_ATTR_ENCODE} nodes: {test_triples_excl_ent_prop.num_triples}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "74cd7fa3", - "metadata": {}, - "outputs": [], - "source": [ - "from nb_utils.eval_utils import TEST, TRAIN, VALID, DUMMY, TEST_EXCLUDING_ENT, TEST_RESTRICTED_ENT\n", - "triples_dict = {\n", - " TEST: test,\n", - " VALID: valid,\n", - " TRAIN: train,\n", - " TEST_RESTRICTED_ENT: test_triples_incl_ent_prop,\n", - " TEST_EXCLUDING_ENT: test_triples_excl_ent_prop,\n", - " DUMMY: dummy, \n", - "}\n", - "\n", - "TEST_SET_LIST = [TEST_RESTRICTED_ENT, TEST, VALID] # TEST_EXCLUDING_ENT\n" + "for ent_type in LIST_ENTITY_TYPES_W_ATTRIBUTE:\n", + " print(f\"# test triples with {ent_type} nodes: {triples_dict[ENT_SPECIFIC_TEST_SET_STUBS[ent_type]].num_triples}\")\n" ] }, { "cell_type": "markdown", - "id": "7c808015", + "id": "b7a71b09", "metadata": {}, "source": [ "# Evaluation" @@ -417,7 +455,7 @@ }, { "cell_type": "markdown", - "id": "dda20a07", + "id": "900fcc0f", "metadata": {}, "source": [ "wandb logging" @@ -425,8 +463,8 @@ }, { "cell_type": "code", - "execution_count": 24, - "id": "403a46be", + "execution_count": 15, + "id": "e1379de9", "metadata": {}, "outputs": [ { @@ -448,7 +486,7 @@ }, { "cell_type": "markdown", - "id": "a1e9207a", + "id": "db69ad6e", "metadata": {}, "source": [ "sanity check logic for experiment run with wandb logging" @@ -457,7 +495,7 @@ { "cell_type": "code", "execution_count": 55, - "id": "ad9ede51", + "id": "b48a1ccd", "metadata": {}, "outputs": [], "source": [ @@ -471,7 +509,7 @@ }, { "cell_type": "markdown", - "id": "16c44e90", + "id": "02f63b77", "metadata": {}, "source": [ "Triples with protein as src entity far outnumber triples with protein as tail entity. \n" @@ -479,7 +517,7 @@ }, { "cell_type": "markdown", - "id": "47db5aa4", + "id": "4bb30aad", "metadata": {}, "source": [ "### average performance predicting the node which has an entity degree of x\n", @@ -489,37 +527,52 @@ }, { "cell_type": "code", - "execution_count": 14, - "id": "ded82ee2", + "execution_count": 39, + "id": "169e48b7", "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Restricting analysis to relations where we predict 'drug' as 'src'\n" + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" ] + }, + { + "data": { + "text/plain": [ + "PROTEIN_DISEASE_ASSOCIATION 9760\n", + "DRUG_DISEASE_ASSOCIATION 6749\n", + "DISEASE_PATHWAY_ASSOCIATION 293\n", + "DISEASE_GENETIC_DISORDER 261\n", + "Name: rel, dtype: int64" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "print(f\"Restricting analysis to relations where we predict '{ENTITY_TYPE_W_ATTR_ENCODE}' as '{NODE_ENDPOINT_TO_PREDICT}'\")" + "df = pd.DataFrame(test_triples_incl_ent_prop.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET])\n", + "df[:2]\n", + "df[COL_EDGE].value_counts()" ] }, { "cell_type": "markdown", - "id": "ad67eff3", + "id": "1c4f204a", "metadata": { "tags": [] }, "source": [ - "### preliminary analysis" + "#### exploratory peek into transformed data and distributions" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "2ed7b16a", + "execution_count": 145, + "id": "baba1b1a", "metadata": {}, "outputs": [ { @@ -533,13 +586,16 @@ ], "source": [ "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n", - "x = NodeDegreeEvalAnalyser(train_triples=train,\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde_ = NodeDegreeEvalAnalyser(train_triples=train,\n", " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", "\n", - "test_triples_ent_w_attr_df = x.prep_test_data(test_triples_incl_ent_prop)\n", + "test_triples_ent_w_attr_df = nde_.prep_test_data(test_triples_incl_ent_prop)\n", "\n", "test_triples_by_node_endpoint_to_predict = {\n", - " node_endpoint: x._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " node_endpoint: nde_._create_test_df_subset_given_node_endpoint_type_to_predict(\n", " test_df=test_triples_ent_w_attr_df, \n", " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", " node_endpoint_to_predict=node_endpoint,\n", @@ -549,88 +605,100 @@ }, { "cell_type": "code", - "execution_count": 22, - "id": "980d8ae6", - "metadata": {}, - "outputs": [], - "source": [ - "triples_by_node_endpoint = {node_endpoint: len(test_triples_by_node_endpoint_to_predict[node_endpoint]) for node_endpoint in [COL_SOURCE, COL_TARGET]}" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "a17b6f2d", + "execution_count": 146, + "id": "9f3508d1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'src': 123636, 'tgt': 0}" + "{'src': 16509, 'tgt': 554}" ] }, - "execution_count": 23, + "execution_count": 146, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# we see the count of triples where the {ENTITY_TYPE_W_ATTR_ENCODE} occurs as the head/src vs tail/tgt\n", + "triples_by_node_endpoint = {node_endpoint: len(test_triples_by_node_endpoint_to_predict[node_endpoint]) for node_endpoint in [COL_SOURCE, COL_TARGET]}\n", "triples_by_node_endpoint" ] }, { "cell_type": "code", - "execution_count": 25, - "id": "c8f7f737", + "execution_count": 147, + "id": "699c8a9d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Counts of triples with disease in src/tgt position {'src': 16509, 'tgt': 554}\n", + "i.e.,96.75% test triples with disease occuring in source position than in tail position\n" + ] + } + ], + "source": [ + "print(f\"Counts of triples with {ENTITY_TYPE_W_ATTR_ENCODE} in src/tgt position {triples_by_node_endpoint}\")\n", + "print(f\"i.e.,{round((triples_by_node_endpoint[COL_SOURCE])/(triples_by_node_endpoint[COL_TARGET]+triples_by_node_endpoint[COL_SOURCE])*100, 2)}% test triples with {ENTITY_TYPE_W_ATTR_ENCODE} occuring in source position than in tail position\")" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "65404f68", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "We have 123636, or 123636.0% more test triples with drug occuring in source position than in tail position\n" + "Restricting analysis to relations where we predict 'disease' as 'src'\n" ] } ], "source": [ - "print(f\"We have {triples_by_node_endpoint[COL_SOURCE]-triples_by_node_endpoint[COL_TARGET]}, or {(triples_by_node_endpoint[COL_SOURCE])/(triples_by_node_endpoint[COL_TARGET]*100+1)}% more test triples with {ENTITY_TYPE_W_ATTR_ENCODE} occuring in source position than in tail position\")" + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "print(f\"Restricting analysis to relations where we predict '{ENTITY_TYPE_W_ATTR_ENCODE}' as '{NODE_ENDPOINT_TO_PREDICT}'\")" ] }, { "cell_type": "code", - "execution_count": 26, - "id": "8908d77e", + "execution_count": 63, + "id": "d6c1bce5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "count 123636.000000\n", - "mean 870.812999\n", - "std 376.021629\n", - "min 1.000000\n", - "25% 610.000000\n", - "50% 859.000000\n", - "75% 1132.000000\n", - "max 1942.000000\n", + "count 16509.000000\n", + "mean 340.994972\n", + "std 483.923354\n", + "min 1.000000\n", + "25% 16.000000\n", + "50% 54.000000\n", + "75% 650.000000\n", + "max 1942.000000\n", "Name: src_training_degree, dtype: float64" ] }, - "execution_count": 26, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "rels_w_prot_as_src = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_SOURCE]\n", - "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_src)][f'{COL_SOURCE}_training_degree'].describe()" + "rels_for_ent_w_attr_as_src = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_SOURCE]\n", + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_for_ent_w_attr_as_src)][f'{COL_SOURCE}_training_degree'].describe()" ] }, { "cell_type": "code", - "execution_count": 27, - "id": "e2485c5d", + "execution_count": 64, + "id": "f5a83f41", "metadata": { "tags": [] }, @@ -638,18 +706,18 @@ { "data": { "text/plain": [ - "count 0.0\n", - "mean NaN\n", - "std NaN\n", - "min NaN\n", - "25% NaN\n", - "50% NaN\n", - "75% NaN\n", - "max NaN\n", + "count 554.000000\n", + "mean 39.606498\n", + "std 72.414597\n", + "min 1.000000\n", + "25% 7.000000\n", + "50% 20.000000\n", + "75% 34.000000\n", + "max 1168.000000\n", "Name: tgt_training_degree, dtype: float64" ] }, - "execution_count": 27, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -661,95 +729,60 @@ }, { "cell_type": "code", - "execution_count": 28, - "id": "84993897", + "execution_count": 67, + "id": "8dd94ae4", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n", - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "# drug entities in larger biokg (pre-benchmark removal): 13580\n", - "# drug entities for which we have attributes: 10815\n" + "# unique entities of type 'disease' of training degree 1 in associated triples where it occurs in position src: 141\n" ] } ], "source": [ - "dummy_test_inc_attr, _ = create_entity_attr_aware_test_sets(entity_type_w_attribute=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " graph_cfg=graph_cfg,\n", - " train=train,\n", - " test=dummy)\n", - " " + "from nb_utils.eval_utils import get_unique_endpoint_entities_in_testset_of_given_degree\n", + "\n", + "DEGREE = 1\n", + "unique_ent_w_attr_as_src_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=DEGREE, node_endpoint_type=COL_SOURCE)\n", + "print(f\"# unique entities of type '{ENTITY_TYPE_W_ATTR_ENCODE}' of training degree {DEGREE} in associated triples where it occurs in position {NODE_ENDPOINT_TO_PREDICT}: {len(unique_ent_w_attr_as_src_in_test)}\")\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 35, - "id": "8ff61bb3", + "execution_count": 68, + "id": "5fd45807", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "# unique entities of type drug of training degree 1 in associated triples where it occurs in position src: 295\n" + "# unique entities of type 'disease' of training degree 10 in associated triples where it occurs in position tgt: 55\n" ] } ], "source": [ - "#for drugs\n", - "from nb_utils.eval_utils import get_unique_endpoint_entities_in_testset_of_given_degree\n", + "DEGREE = 10\n", + "node_endpoint_type = COL_TARGET\n", + "unique_ent_w_attr_as_tail_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=DEGREE, node_endpoint_type=node_endpoint_type)\n", "\n", - "DEGREE = 1\n", - "unique_drug_src_ents_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", - " degree=DEGREE, node_endpoint_type=COL_SOURCE)\n", - "print(f\"# unique entities of type {ENTITY_TYPE_W_ATTR_ENCODE} of training degree {DEGREE} in associated triples where it occurs in position {NODE_ENDPOINT_TO_PREDICT}: {len(unique_drug_src_ents_in_test)}\")\n", - "\n" + "print(f\"# unique entities of type '{ENTITY_TYPE_W_ATTR_ENCODE}' of training degree {DEGREE} in associated triples where it occurs in position {node_endpoint_type}: {len(unique_ent_w_attr_as_tail_in_test)}\")\n" ] }, { "cell_type": "code", - "execution_count": 185, - "id": "d255ce87", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "578" - ] - }, - "execution_count": 185, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## for proteins\n", - "# todo: fix error prone naming of data variables that reflect the input parameters better. E.g.: unique_drug_src_ents_in_test should reflect unique_{ENTITY_TYPE_W_ATTR_ENCODE}_{NODE_ENDPOINT_TO_PREDICT}_ents_in_test\n", - "unique_protein_tail_ents_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", - " degree=1, node_endpoint_type=COL_SOURCE)\n", - "len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", - " degree=1, node_endpoint_type=NODE_ENDPOINT_TO_PREDICT))" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "c0987d45", + "execution_count": 69, + "id": "54903f77", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -771,13 +804,13 @@ }, { "cell_type": "code", - "execution_count": 37, - "id": "ddb34bb3", + "execution_count": 70, + "id": "07cbfd17", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -799,8 +832,8 @@ }, { "cell_type": "code", - "execution_count": 38, - "id": "9cb7e7eb", + "execution_count": 71, + "id": "a298beba", "metadata": {}, "outputs": [ { @@ -809,13 +842,13 @@ "" ] }, - "execution_count": 38, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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JI2uStDAHATNVdX1VPQScDRwxZ5tfBM6tqpsAquqOCWeUtIRZ1iRpYVYCNw8tb+rGhj0PeEaSLyS5NMkbJpZO0pLnaVBJWpjMM1ZzlncADgReDewMfCXJRVX19cfsKFkHrANYtWrVGKJKWoo8siZJC7MJ2GtoeU/g1nm2+XRVfbeq7gK+BLxo7o6qan1VTVfV9NTU1NgCS1paLGuStDCXAGuSrE6yI7AWOH/ONucBP5FkhyRPAV4GXDvhnJKWKE+DStICVNXmJMcCnwFWAGdU1dVJju7Wn15V1yb5NHAF8Ajwl1V1VX+pJS0lljVJWqCq2gBsmDN2+pzlPwH+ZJK5JC0PngaVJElq2MhlLcku4wgiSZKkx9vmspbk5UmuobsoNsmLkpw6tmSSNEEZ+OUkv9str0pyUN+5JGmUI2vvAw4F7gaoqn8EXjmOUJLUg1OBHwOO6pbvZ/AYKUnq1UgTDKrq5uQx9398eHHjSFJvXlZVL0nyVYCq+nZ3Kw5J6tUoZe3mJC8HqvsB+3W8T5Ck5eP73UPZCyDJFIPbbEhSr0Y5DXo0cAyDZ95tAg7oliVpOTgZ+CSwe5ITgS8Df9hvJEka4cha94iUXxpjliXnlFNOYWZmpu8YGjL7v8fxxx/fcxLNtc8++3Dcccf1HWOLqupjSS5l8PzOAEdWlWcPJPVum8takucBpwG7V9ULkrwQeG1V/cHY0jVuZmaGy6+6loef8sy+o6jzpIcGz8++9Prbe06iYSseuKfvCNtqN+CBqvpwkqkkq6vqhr5DSdq+jXLN2geB3wE+AFBVVyT5K2C7LWsADz/lmXxv39f0HUNq2s5f2/DEG/UsybuAaeD5wIeBHwL+B/CKPnNJ0ijXrD2lqi6eM7Z5McNIUo9eB7wW+C5AVd0KPK3XRJLEaGXtriTP5dGZUj8L3DaWVJI0eQ9VVfHob5xPa5HUhFFOgx4DrAf2TXILcANOOJC0fJyT5APA05P8J+BXGVz+IUm92qay1t176K1V9VPdX5tPqqr7xxtNkiYjg7t9/zWwL3Afg+vWfreqLuw1mCSxjWWtqh5OcmD3+bvjjSRJk1VVleRTVXUgYEGT1JRRToN+Ncn5wN/QXYALUFXnLnoqSZq8i5K8tKou6TuIJA0bpaw9k8FD3H9yaKwAy5qk5eBVwFuS3MjgD9IwOOj2wn5jSdrejfIEgzeNM4gk9ezwvgNI0nxGeYLByfMM3wtsrKrzFi+SJPVivklTTqSS1LtR7rP2ZAYPb/9G93ohg1Ojb07y54ueTJIm6zLgTuDrDH7j7gRuSHLZ7AQrSerDKNes7QP8ZFVtBkhyGvBZ4KeBK8eQTZIm6dPAJ6vqMwBJfgY4DDgHOBV4WY/ZJG3HRjmythIYvqP3LsCzq+ph4MFFTSVJkzc9W9QAquqzwCur6iJgp/5iSdrejXJk7Y+By5N8gcEsqVcCf9jdJPcfxpBNkibpniRvB87uln8B+HZ3U/BH+oslaXs3ymzQDyXZABzEoKy9s3vQMcDvjCOcJE3QLwLvAj7VLX+5G1sB/HxPmSRppNmgAV4NPKeqfi/JqiQHVdXF44snSZNRVXcBxyV5alV9Z87qmT4ySRKMds3aqcCPAUd1y/cD71/0RJLUgyQvT3INcE23/KIkp/YcS5JGKmsvq6pjgH8BqKpvAzuOJZUkTd77gEMZPKmFqvpHBtfmSlKvRilr3+8utC2AJFN40a2kZaSqbp4z9HAvQSRpyChl7WTgk8CzkpzI4OLbPxxLKkmavJuTvByoJDsm+W3g2r5DSdIos0E/luRSBpMMAhxZVf6QSVoujgZOYnBPyU0Mbvp9TK+JJIltKGtJnjm0eAfw8eF1VXXPOIJJ0iR1s0F/qe8ckjTXthxZu5TBdWoBVgHf7j4/HbgJWD2ucJI0bklOobsWdz5V9esTjCNJj/OE16xV1eqqeg7wGeD/q6rdquqHgX8HnDvugJI0ZhsZ/FH6ZOAlDB7i/g3gAJxgIKkBozxu6qVVdfTsQlVdkOT3x5BJkiamqj4CkORXgFdV1fe75dMZXLcmSb0aZTboXUn+S5K9k/xIkv9Mdz8iSVoGng08bWj5qd2YJPVqlCNrRzF4bt4nGVzf8SUefZqBJC11fwR8Ncnnu+V/C7y7vziSNDDKrTvuAY7f0vokp1TVcYuSSpImrKo+nOQC4GXd0AlV9U+z65PsX1VX95NO0vZslCNrT+QVi7gvSZq4rpydt4XVH2UwAUGSJmqUa9ZGluSMJHckuWpo7JlJLkzyje79GUPr3pFkJsl1SQ4dGj8wyZXdupOTZJy5JWke/u5I6sVYyxpwJnDYnLETgM9V1Rrgc90ySfYD1gL7d985tXsWKcBpwDpgTfeau09JGrct3otNksZpMcva4/7qrKovAXOfcHAE8JHu80eAI4fGz66qB6vqBmAGOCjJHsCuVfWVqirgrKHvSJIkLWuLWdZO2sbtdq+q2wC692d14yuBm4e229SNzT6nb+64JE3SQ30HkLR92uYJBkn+jsefBriXwd2/P1BVZy4wy3zXg9RWxuffSbKOwSlTVq1atcBIkrYXSeabPHAvcGNVba6qgyedSZJgtCNr1wPfAT7Yve4Dbgee1y1vq9u7U5t073d045uAvYa22xO4tRvfc57xeVXV+qqarqrpqampEWJJ2s6dClwErGfwm/YV4Gzg60l+ps9gkrZvo5S1F1fVL1bV33WvXwYOqqpjGG06+/nAG7vPb+TRafLnA2uT7JRkNYOJBBd3p0rvT3JwNwv0DWx5ar0k/Wt9i8Hv3HRVHQi8GLgK+Cngj/sMJmn7Nsp91qaSrKqqmwCSrAJ269bNey1Hko8DhwC7JdnE4AkIfwSck+TNwE3AzwFU1dVJzgGuATYDx1TV7EOU38pgZunOwAXdS5IW077DN72tqmuSvLiqrvduQZL6NEpZ+y3gy0m+yeA6stXAryXZhUdndz5GVW3pcVSv3sL2JwInzjO+EXjBCFklaVTXJTmNwalPgF9gcAp0J+D7/cWStL0b5XFTG5KsAfZlUNa+VlX/0q3+8zFkk6RJ+hXg14C3MfiN+zLw2wyK2qt6SyVpuzfq46YOBPbuvvfCJFTVWYueSpImrKq+B7y3e831nQnHkaQfGOXWHR8FngtcDsxeSzZ7k1pJWtKSvAJ4N/AjDP02VtVz+sokSTDakbVpYL/uKQKStNx8CPgN4FIe/YNUkno3Slm7Cvh/gNvGlEWS+nRvVTnTXFJzRilruwHXJLkYeHB2sKpeu+ipJGnyPp/kT4Bzeexv3GX9RZKk0crau8cVQpIa8LLufXporICf7CGLJP3AKLfu+OI4g0hSn6rK23NIatITlrUkX66qH09yP499gHqAqqpdx5ZOksYsyS9X1f9I8pvzra+qP5t0Jkka9oRlrap+vHt/2vjjSNLE7dK9+xsnqUkj3RQ3yQpgdx57D6KbFjuUJE1KVX2ge/9vfWeRpPmMclPc4xg8iP124JFuuIAXjiGXJE1UkingP/HoU1oAqKpf7SuTJMFoR9aOB55fVXePK4wk9eg84P8H/gFviiupIaOUtZuBe8cVRJJ69pSqenvfISRprlHK2vXAF5L8Tx57w0hnSklaDv4+yWuqakPfQSRp2Chl7abutWP3kqTl5HjgnUkeBL6PtyeS1IhRborrTClJy5a3J5LUqm25Ke6fV9Xbkvwdj70pLuCzQSUtbUn2raqvJXnJfOt9Nqikvm3LkbWPdu9/Os4gktST3wTWAe+dZ53PBpXUu215gsGl3bvPBpW07FTVuu7dZ4NKatIoN8VdA7wH2A948ux4VT1nDLkkaeKSvIDH/8ad1V8iSRptNuiHGTzB4H3Aq4A3MZgtJUlLXpJ3AYcwKGsbgMOBLwOWNUm9etII2+5cVZ8DUlU3VtW78VoOScvHzwKvBv6pqt4EvAjYqd9IkjTakbV/SfIk4BtJjgVuAZ41nliSNHHfq6pHkmxOsitwB+BlHpJ6N8qRtbcBTwF+HTgQ+GXgjWPIJEl92Jjk6cAHgUuBy4CLe00kSWzjkbUkK4Cfr6rfAb7D4Ho1SVoWkgR4T1X9M3B6kk8Du1bVFf0mk6RtPLJWVQ8DB3Y/aJK0rFRVAZ8aWv6WRU1SK0a5Zu2rwHlJ/gb47uxgVZ276KkkafIuSvLSqrqk7yCSNGyUsvZM4G4eOwO0AMuapOXgVcBbktzI4A/S2Qe5v7DfWJK2d6OUtb+sqv81PJDkFYucR5L6cnjfASRpPqOUtVOAuQ86nm9su3HLLbew4oF72flrG/qOIjVtxQN3c8stm/uO8UT+oKpePzyQ5KPA67ewvSRNxBOWtSQ/BrwcmErym0OrdgVWjCuYJE3Y/sML3Sz4A3vKIkk/sC1H1nYEntpt+7Sh8fsY3PF7u7Vy5Ur+6cEd+N6+r+k7itS0nb+2gZUrd+87xrySvAN4J7Bzkvtmh4GHgPW9BZOkzhOWtar6IvDFJGdW1Y1b2i7JKVV13KKmk6Qxq6r3AO9J8p6qeseWtkuyf1VdPcFokgSM8ASDrRW1jpMNJC1ZWytqnY9OJIgkzTHK46YkaXvmTcEl9cKyJknbpvoOIGn7tJhlzb86JUmSFtlilrWTFnFfktSah/oOIGn7tM1lLcmFSZ4+tPyMJJ+ZXa6qMxc3miRNTpLPbW2sqg6ebCJJGhjlCQa7VdU/zy5U1beTPGvxI0nS5CR5MvAUYLckz+DRSzp2BZ7dWzBJ6oxS1h5JsqqqbgJI8iN4wa2kpe8twNsYFLPLhsbvA97fRyBJGjZKWXsn8OUkX+yWXwmsW/xIkjQ5VXUScFKS46rqlL7zSNJc21TWkjwJ+DcMHtp+MIPTBL9RVXeNMZskTdItSf79nLF7gSur6o4+AkkSbGNZq6pHkhxbVecAfz/mTJLUhzcDPwZ8vls+BLgIeF6S36sqn2AgqRejnAa9MMlvA38NfHd2sKruWfRUkjR5jwA/WlW3AyTZHTgNeBnwJXzclKSejFLWfrV7P4bHTix4zuLFkaTerJ4tap07gOdV1T1Jvt9XKEkapay9Hfh0Vd2X5L8yuH7t98cTS5Im7otJ/h74m275PwBfSrIL8M+9pZK03RvlCQb/pStqPw78NHAmg1MEkrQcfAf4MHAA8GLgLOD+qvpuVb2qz2CStm+jlLWHu/f/Fzi9qs4Ddlz8SJLUi5+uqk9U1W9U1duq6m+Bw/sOJUmjnAa9JckHgJ8C/nuSnVjcZ4tK0sQleSvwa8Bzk1wxtOppwP/qJ5UkPWqUsvbzwGHAn1bVPyfZA/id8cSSpIn5K+AC4D3ACUPj9zvbXVILtvnIWFU9UFXnVtU3uuXbquqz44smSeNXVfdW1beq6qiqunHotc1FLclhSa5LMpPkhK1s99IkDyf52cVJL2l74GlMSVqAJCsYPEP0cGA/4Kgk+21hu/8OfGayCSUtdb2UtSTPT3L50Ou+JG9L8u4ktwyNv2boO+/o/mq9LsmhfeSWpHkcBMxU1fVV9RBwNnDEPNsdB3yCwf3bJGmbjXLN2qKpqusYTI+f/WvzFuCTwJuA91XVnw5v3/2VuhbYH3g28A9JnldVDyNJ/VoJ3Dy0vInBUw9+IMlK4HXATwIvnVw0SctBC6dBXw18s6pu3Mo2RwBnV9WDVXUDMMPgr1lJ6lvmGas5y38OvP2J/sBMsi7JxiQb77zzzsXKJ2mJa6GsrQU+PrR8bJIrkpyR5Bnd2Hx/ua6cVEBJ2opNwF5Dy3sCt87ZZho4O8m3gJ8FTk1y5NwdVdX6qpququmpqakxxZW01PRa1pLsCLyWRx/vchrwXAanSG8D3ju76Txfn/uX6+w+/ctU0iRdAqxJsrr7TVsLnD+8QVWtrqq9q2pv4G+BX6uqT008qaQlqe8ja4cDl80+PLmqbq+qh6vqEeCDPHqqc1v+cqXbh3+ZSpqYqtoMHMtglue1wDlVdXWSo5Mc3W86SctBLxMMhhzF0CnQJHtU1W3d4uuAq7rP5wN/leTPGEwwWANcPMmgkrQlVbUB2DBn7PQtbPsrk8gkafnorawleQqDB8K/ZWj4j5McwOAU57dm13V/pZ4DXANsBo5xJqgkSdoe9FbWquoB4IfnjL1+K9ufCJw47lySJEkt6fuaNUmSJG2FZU2SJKlhljVJkqSGWdYkSZIaZlmTJElqmGVNkiSpYZY1SZKkhlnWJEmSGmZZkyRJaphlTZIkqWGWNUmSpIZZ1iRJkhpmWZMkSWqYZU2SJKlhljVJkqSGWdYkSZIaZlmTJElqmGVNkiSpYZY1SZKkhlnWJEmSGmZZkyRJaphlTZIkqWGWNUmSpIZZ1iRJkhpmWZMkSWqYZU2SJKlhljVJkqSGWdYkSZIaZlmTJElqmGVNkiSpYTv0HWCpW/HAPez8tQ19x1DnSf9yHwCPPHnXnpNo2IoH7gF27zuGJC1JlrUF2GefffqOoDlmZu4HYJ/nWAzasrv/f5GkfyXL2gIcd9xxfUfQHMcffzwAJ510Us9JJElaHF6zJkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSwyxrkiRJDbOsSZIkNcyyJkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSw3ora0m+leTKJJcn2diNPTPJhUm+0b0/Y2j7dySZSXJdkkP7yi1JkjRJfR9Ze1VVHVBV093yCcDnqmoN8LlumST7AWuB/YHDgFOTrOgjsCRJ0iT1XdbmOgL4SPf5I8CRQ+NnV9WDVXUDMAMcNPl4kiRJk9VnWSvgs0kuTbKuG9u9qm4D6N6f1Y2vBG4e+u6mbkySJGlZ26HHf/sVVXVrkmcBFyb52la2zTxjNe+Gg+K3DmDVqlULTylJktSj3o6sVdWt3fsdwCcZnNa8PckeAN37Hd3mm4C9hr6+J3DrFva7vqqmq2p6ampqXPElSZImopeylmSXJE+b/Qz8DHAVcD7wxm6zNwLndZ/PB9Ym2SnJamANcPFkU0uSJE1eX6dBdwc+mWQ2w19V1aeTXAKck+TNwE3AzwFU1dVJzgGuATYDx1TVw/1ElyRJmpxeylpVXQ+8aJ7xu4FXb+E7JwInjjmaJElSU1q7dYckSZKGWNYkSZIaZlmTJElqmGVNkiSpYZY1SZKkhlnWJEmSGmZZkyRJaphlTZIkqWGWNUmSpIZZ1iRJkhpmWZMkSWqYZU2SJKlhljVJkqSGWdYkSZIaZlmTJElqmGVNkiSpYZY1SZKkhlnWJEmSGmZZkyRJaphlTZIkqWGWNUmSpIZZ1iRJkhpmWZMkSWqYZU2SJKlhljVJkqSGWdYkSZIaZlmTJElqmGVNkiSpYZY1SZKkhlnWJEmSGmZZkyRJaphlTZIkqWGWNUmSpIZZ1iRJkhpmWZOkBUpyWJLrkswkOWGe9b+U5Iru9b+TvKiPnJKWJsuaJC1AkhXA+4HDgf2Ao5LsN2ezG4B/W1UvBH4fWD/ZlJKWMsuaJC3MQcBMVV1fVQ8BZwNHDG9QVf+7qr7dLV4E7DnhjJKWMMuaJC3MSuDmoeVN3diWvBm4YKyJJC0rO/QdQJKWuMwzVvNumLyKQVn78S2sXwesA1i1atVi5ZO0xHlkTZIWZhOw19DynsCtczdK8kLgL4Ejquru+XZUVeurarqqpqempsYSVtLSY1mTpIW5BFiTZHWSHYG1wPnDGyRZBZwLvL6qvt5DRklLmKdBJWkBqmpzkmOBzwArgDOq6uokR3frTwd+F/hh4NQkAJurarqvzJKWFsuaJC1QVW0ANswZO33o838E/uOkc0laHjwNKkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSwyxrkiRJDbOsSZIkNayXspZkrySfT3JtkquTHN+NvzvJLUku716vGfrOO5LMJLkuyaF95JYkSZq0HXr6dzcDv1VVlyV5GnBpkgu7de+rqj8d3jjJfsBaYH/g2cA/JHleVT080dSSJEkT1suRtaq6raou6z7fD1wLrNzKV44Azq6qB6vqBmAGOGj8SSVJkvrV+zVrSfYGXgz8n27o2CRXJDkjyTO6sZXAzUNf28TWy50kSdKy0GtZS/JU4BPA26rqPuA04LnAAcBtwHtnN53n67WFfa5LsjHJxjvvvHPxQ0uSJE1Qb2UtyQ8xKGofq6pzAarq9qp6uKoeAT7Io6c6NwF7DX19T+DW+fZbVeurarqqpqempsb3HyBJkjQBfc0GDfAh4Nqq+rOh8T2GNnsdcFX3+XxgbZKdkqwG1gAXTyqvJElSX/qaDfoK4PXAlUku78beCRyV5AAGpzi/BbwFoKquTnIOcA2DmaTHOBNUkiRtD3opa1X1Zea/Dm3DVr5zInDi2EJJkiQ1qPfZoJIkSdoyy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSwyxrkiRJDbOsSZIkNcyyJkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSwyxrkiRJDbOsSZIkNcyyJkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSwyxrkiRJDbOsSZIkNcyyJkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSwyxrkiRJDbOsSZIkNcyyJkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSw5ZUWUtyWJLrkswkOaHvPJIkSeO2ZMpakhXA+4HDgf2Ao5Ls128qSZKk8VoyZQ04CJipquur6iHgbOCInjNJkiSN1Q59BxjBSuDmoeVNwMt6yrLsnHLKKczMzPQdY8Fm/xuOP/74npMsjn322Yfjjjuu7xiSpB4tpbKWecbqcRsl64B1AKtWrRp3JjVm55137juCJEmLaimVtU3AXkPLewK3zt2oqtYD6wGmp6cfV+Y0P4/eSJLUpqV0zdolwJokq5PsCKwFzu85kyRJ0lgtmSNrVbU5ybHAZ4AVwBlVdXXPsSRJksZqyZQ1gKraAGzoO4ckSdKkLKXToJIkSdsdy5okSVLDLGuSJEkNs6xJkiQ1zLImSZLUMMuaJElSwyxrkiRJDbOsSZIkNcyyJkmS1DDLmiRJUsMsa5IkSQ2zrEmSJDXMsiZJktQwy5okSVLDLGuSJEkNs6xJkiQ1zLImSQuU5LAk1yWZSXLCPOuT5ORu/RVJXtJHTklLk2VNkhYgyQrg/cDhwH7AUUn2m7PZ4cCa7rUOOG2iISUtaZY1SVqYg4CZqrq+qh4CzgaOmLPNEcBZNXAR8PQke0w6qKSlybImSQuzErh5aHlTNzbqNpI0rx36DjBOl1566V1Jbuw7hyZuN+CuvkOoFz/Sw7+ZecbqX7ENSdYxOE0K8J0k1y0wm5Ymf8O2X/P+hi3rslZVU31n0OQl2VhV033n0HZjE7DX0PKewK3/im2oqvXA+sUOqKXF3zDN5WlQSVqYS4A1SVYn2RFYC5w/Z5vzgTd0s0IPBu6tqtsmHVTS0rSsj6xJ0rhV1eYkxwKfAVYAZ1TV1UmO7tafDmwAXgPMAA8Ab+orr6SlJ1WPu2xCWtKSrOtOJ0nSkuNvmOayrEmSJDXMa9YkSZIaZlmTJElqmGVNkiSpYZY1SZKkhlnWJEmSGmZZkyRJaphlTZIkqWH/F+FLvO7/8RsDAAAAAElFTkSuQmCC", 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", 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" ] @@ -834,8 +867,8 @@ }, { "cell_type": "code", - "execution_count": 39, - "id": "2e0ffcbd", + "execution_count": 72, + "id": "64318aba", "metadata": {}, "outputs": [], "source": [ @@ -846,38 +879,16 @@ }, { "cell_type": "markdown", - "id": "a6c88764", - "metadata": {}, - "source": [ - "### define plotting logic" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "cd7f257e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", - "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n" - ] - }, - { - "cell_type": "markdown", - "id": "38bbc70b", + "id": "3c1ec5e2", "metadata": {}, "source": [ - "### TODO - the eval_node_head and endpoint_type is a bit bug-prone inside the writing function. DRY it\n", - "#### predict on bioblp-m - drug\n" + "#### dummy test data" ] }, { "cell_type": "code", - "execution_count": 44, - "id": "cf591873", + "execution_count": 112, + "id": "0257bf27", "metadata": {}, "outputs": [ { @@ -889,402 +900,48 @@ ] }, { - "ename": "AttributeError", - "evalue": "'NoneType' object has no attribute 'registered_model_paths'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[44], line 7\u001b[0m\n\u001b[1;32m 5\u001b[0m eval_out_dir \u001b[38;5;241m=\u001b[39m Path(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./metrics/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMODEL_ID\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 6\u001b[0m x \u001b[38;5;241m=\u001b[39m NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n\u001b[0;32m----> 7\u001b[0m results_by_node_degree_dicts_bioblpm \u001b[38;5;241m=\u001b[39m \u001b[43mx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mevaluate_and_format\u001b[49m\u001b[43m(\u001b[49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mENTITY_TYPE_W_ATTR_ENCODE\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mnode_endpoint_to_predict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mCOL_SOURCE\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdummy_test_inc_attr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_set_slug\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mTEST_RESTRICTED_ENT\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mMODEL_ID\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 12\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtriples_dict\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mTRAIN\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtriples_dict\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mVALID\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_reg_cfg\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 15\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_out_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m./metrics\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 16\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_triple_endpoint_list\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mEVAL_NODE_HEAD\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 17\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_metric_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mEVAL_METRIC_REALISTIC\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 18\u001b[0m \u001b[43m \u001b[49m\u001b[43mwrite_results_to_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\n\u001b[1;32m 19\u001b[0m \u001b[43m \u001b[49m\n\u001b[1;32m 20\u001b[0m \u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/BioBLP/notebooks/nb_utils/eval_utils.py:528\u001b[0m, in \u001b[0;36mNodeDegreeEvalAnalyser.evaluate_and_format\u001b[0;34m(self, entity_type_to_predict, node_endpoint_to_predict, test_triples, model_id, train_triples, valid_triples, model_registry_cfg, test_set_slug, eval_triple_endpoint_list, eval_metric_type, eval_out_dir, write_results_to_file)\u001b[0m\n\u001b[1;32m 514\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mevaluate_and_format\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 515\u001b[0m entity_type_to_predict,\n\u001b[1;32m 516\u001b[0m node_endpoint_to_predict, \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 526\u001b[0m write_results_to_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 527\u001b[0m ):\n\u001b[0;32m--> 528\u001b[0m results_by_node_degree \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mevaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 529\u001b[0m \u001b[43m \u001b[49m\u001b[43mnode_endpoint_to_predict\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 530\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_triples\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 531\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 532\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_triples\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 533\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid_triples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 534\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 535\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_set_slug\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mTEST\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 537\u001b[0m results_by_node_degree_dicts \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mformat_eval_results(results_by_node_degree, \n\u001b[1;32m 538\u001b[0m eval_triple_endpoint_list\u001b[38;5;241m=\u001b[39meval_triple_endpoint_list, \n\u001b[1;32m 539\u001b[0m eval_metric_type\u001b[38;5;241m=\u001b[39meval_metric_type)\n\u001b[1;32m 540\u001b[0m \u001b[38;5;66;03m# self.report.results_dict = results_by_node_degree_dicts\u001b[39;00m\n", - "File \u001b[0;32m~/BioBLP/notebooks/nb_utils/eval_utils.py:485\u001b[0m, in \u001b[0;36mNodeDegreeEvalAnalyser.evaluate\u001b[0;34m(self, entity_type_to_predict, node_endpoint_to_predict, test_triples, model_id, train_triples, valid_triples, model_registry_cfg, test_set_slug)\u001b[0m\n\u001b[1;32m 480\u001b[0m test_triples_with_degree_df \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprep_test_data(test_triples)\n\u001b[1;32m 481\u001b[0m test_triples_with_degree_subset_df \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_test_df_subset_given_node_endpoint_type_to_predict(test_df \u001b[38;5;241m=\u001b[39m test_triples_with_degree_df, \n\u001b[1;32m 482\u001b[0m entity_type_to_predict\u001b[38;5;241m=\u001b[39mentity_type_to_predict,\n\u001b[1;32m 483\u001b[0m node_endpoint_to_predict \u001b[38;5;241m=\u001b[39m node_endpoint_to_predict)\n\u001b[0;32m--> 485\u001b[0m results_by_node_degree \u001b[38;5;241m=\u001b[39m \u001b[43mcompute_metrics_over_triples_with_ent_node_endpoint\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 486\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_triples_w_node_degree_df\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtest_triples_with_degree_subset_df\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 487\u001b[0m \u001b[43m \u001b[49m\u001b[43mtest_set_slug\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtest_set_slug\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 488\u001b[0m \u001b[43m \u001b[49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mentity_type_to_predict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 489\u001b[0m \u001b[43m \u001b[49m\u001b[43mnode_endpoint_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnode_endpoint_to_predict\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 490\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrain_triples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 491\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalid_triples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalid_triples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 492\u001b[0m \u001b[43m \u001b[49m\u001b[43mrels_assoc_by_node_endpoint_type_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrels_assoc_by_node_endpoint_type_dict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 493\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel_registry_cfg\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 496\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m results_by_node_degree\n", - "File \u001b[0;32m~/BioBLP/notebooks/nb_utils/eval_utils.py:637\u001b[0m, in \u001b[0;36mcompute_metrics_over_triples_with_ent_node_endpoint\u001b[0;34m(model_id, test_triples_w_node_degree_df, test_set_slug, node_endpoint_type, train_triples, valid_triples, entity_type_to_predict, rels_assoc_by_node_endpoint_type_dict, model_registry_cfg)\u001b[0m\n\u001b[1;32m 635\u001b[0m col_node_degree \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnode_endpoint_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_training_degree\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;66;03m# if predicting head, this should be the 'src_training_degree'\u001b[39;00m\n\u001b[1;32m 636\u001b[0m evaluator \u001b[38;5;241m=\u001b[39m RankBasedEvaluator(filtered\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m--> 637\u001b[0m model_base_path \u001b[38;5;241m=\u001b[39m \u001b[43mmodel_registry_cfg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mregistered_model_paths\u001b[49m\u001b[38;5;241m.\u001b[39mget(model_id)\n\u001b[1;32m 638\u001b[0m model \u001b[38;5;241m=\u001b[39m load_kge_model(model_base_path\u001b[38;5;241m=\u001b[39mmodel_base_path)\n\u001b[1;32m 639\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mloaded model from \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(model_base_path)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'registered_model_paths'" + "name": "stdout", + "output_type": "stream", + "text": [ + "# drug entities in larger biokg (pre-benchmark removal): 13580\n", + "# drug entities for which we have attributes: 10815\n" ] - } - ], - "source": [ - "test_set_ = test #dummy_test_inc_attr\n", - "MODEL_ID = BIOBLP_M\n", - "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_dicts_bioblpm = x.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " node_endpoint_to_predict=COL_SOURCE,\n", - " test_triples=dummy_test_inc_attr, \n", - " test_set_slug=TEST_RESTRICTED_ENT,\n", - " model_id=MODEL_ID,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " model_registry_cfg=model_reg_cfg,\n", - " eval_out_dir=\"./metrics\",\n", - " eval_triple_endpoint_list=EVAL_NODE_HEAD,\n", - " eval_metric_type=EVAL_METRIC_REALISTIC,\n", - " write_results_to_file=True\n", - " \n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "acc32cfe", - "metadata": {}, - "outputs": [ + }, { "data": { "text/plain": [ - "{419.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 1.0,\n", - " 'hits_at_10': 1.0,\n", - " 'inverse_harmonic_mean_rank': 0.20000000298023224},\n", - " 805.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.021276595070958138},\n", - " 709.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.0012165450025349855},\n", - " 1627.0: {'Relation': 'All',\n", - 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" 1116.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.0042553190141916275},\n", - " 111.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 1.0,\n", - " 'hits_at_3': 1.0,\n", - " 'hits_at_5': 1.0,\n", - " 'hits_at_10': 1.0,\n", - " 'inverse_harmonic_mean_rank': 1.0},\n", - " 657.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.004385964944958687}}" + "36" ] }, - "execution_count": 42, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "results_by_node_degree_dicts_bioblpm" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "042e2559", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n", - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpm-5rxz3k57\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1170/1170 [7:48:53<00:00, 24.05s/it] \n" - ] - } - ], - "source": [ - "test_set_ = test #dummy_test_inc_attr\n", - "MODEL_ID = BIOBLP_M\n", - "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_dicts_bioblpm = x.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " node_endpoint_to_predict=COL_SOURCE,\n", - " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", - " test_set_slug=TEST_RESTRICTED_ENT,\n", - " model_id=MODEL_ID,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " model_registry_cfg=model_reg_cfg,\n", - " eval_out_dir=\"./metrics\",\n", - " eval_triple_endpoint=EVAL_NODE_HEAD,\n", - " eval_metric_type=EVAL_METRIC_REALISTIC,\n", - " write_results_to_file=True\n", - " \n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "d50903b2", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "0dd6856f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing results to metrics/bioblpm-5rxz3k57/20230417-074027/node-degree-eval.json\n" - ] - } - ], - "source": [ - "WRITE_TO_FILE=True\n", - "MODEL_ID = BIOBLP_M\n", - "\n", - "if WRITE_TO_FILE:\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - " eval_out_dir = eval_out_dir.joinpath(timestr)\n", - " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", - " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", - " print(f\"Writing results to {str(eval_out_file)}\")\n", - " with open(eval_out_file, \"w+\") as f:\n", - " json.dump(results_by_node_degree_dicts_bioblpm, f)" + "#test run\n", + "print(ENTITY_TYPE_W_ATTR_ENCODE)\n", + "dummy_test_inc_attr, _ = create_entity_attr_aware_test_sets(entity_type_w_attribute=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " graph_cfg=graph_cfg,\n", + " train=train,\n", + " test=dummy)\n", + "DUMMY_TEST_INCL_ATTR='DUMMY_TEST_INCL_ATTR'\n", + "triples_dict.update({DUMMY_TEST_INCL_ATTR: dummy_test_inc_attr})\n", + "dummy_test_inc_attr.num_triples\n" ] }, { "cell_type": "markdown", - "id": "f26fc5d2", + "id": "f5f43f57", "metadata": {}, "source": [ - "#### predict with rotate - drug" + "### evaluate on node degree buckets" ] }, { "cell_type": "code", - "execution_count": 102, - "id": "2ccba5f1", + "execution_count": 115, + "id": "95236a73", "metadata": {}, "outputs": [ { @@ -1299,21 +956,23 @@ "name": "stdout", "output_type": "stream", "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + "Evaluating LP metrics on triples which have disease in src position, using kge from model bioblpd-38uz9fjs-16-03-2023\n", + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpd-38uz9fjs-16-03-2023\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 38/38 [08:20<00:00, 13.18s/it]" + "100%|██████████| 2/2 [00:21<00:00, 10.98s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Writing results to metrics/rotate-otxtubeb/20230417-214944/node-degree-eval.json\n" + "Writing results to metrics/bioblpd-38uz9fjs-16-03-2023/20230420-083808/node-degree-eval.json\n", + "Writing results to metrics/bioblpd-38uz9fjs-16-03-2023/20230420-083808/metadata.json\n" ] }, { @@ -1325,1999 +984,159 @@ } ], "source": [ - "MODEL_ID = ROTATE\n", + "MODEL_ID = BIOBLP_D\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE # is to be controlled when creating test sets\n", "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_dicts_rdummy = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " node_endpoint_to_predict=COL_SOURCE,\n", - " test_triples=triples_dict[DUMMY], \n", - " test_set_slug=DUMMY,\n", - " model_id=MODEL_ID,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " model_registry_cfg=model_reg_cfg,\n", - " eval_out_dir=\"./metrics\",\n", - " eval_triple_endpoint=EVAL_NODE_HEAD,\n", - " eval_metric_type=EVAL_METRIC_REALISTIC,\n", - " write_results_to_file=True\n", - ")" + "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE] # DUMMY_TEST_INCL_ATTR\n", + "# eval_out_dir = Path(f\"./metrics/\")\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpd = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_SET_SLUG], \n", + " test_set_slug=TEST_SET_SLUG,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + " )" ] }, { "cell_type": "code", - "execution_count": 60, - "id": "93f965ff", + "execution_count": 127, + "id": "1b881a62", "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n", - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1170/1170 [7:36:25<00:00, 23.41s/it] \n" - ] + "data": { + "text/plain": [ + "0.0022858049778733402" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "MODEL_ID = ROTATE\n", - "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_dicts_rotate_drug = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " node_endpoint_to_predict=COL_SOURCE,\n", - " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", - " test_set_slug=TEST_RESTRICTED_ENT,\n", - " model_id=MODEL_ID,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " model_registry_cfg=model_reg_cfg,\n", - " eval_out_dir=\"./metrics\",\n", - " eval_triple_endpoint=EVAL_NODE_HEAD,\n", - " eval_metric_type=EVAL_METRIC_REALISTIC,\n", - " write_results_to_file=True\n", - ")" + "(0.0007401924231089652+0.003831417532637715)/2" ] }, { "cell_type": "code", - "execution_count": 64, - "id": "dda8543f", + "execution_count": 128, + "id": "33357d75", "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Writing results to metrics/rotate-otxtubeb/20230417-164617/node-degree-eval.json\n" + "Evaluating on cuda:0: 100%|██████████| 2.00/2.00 [00:00<00:00, 7.23triple/s]\n" ] } ], "source": [ - "WRITE_TO_FILE=True\n", - "MODEL_ID = ROTATE\n", + "# sanity check that the mirco averaged eval scores, match what is obtained from thenode degree analysis\n", + "from nb_utils.eval_utils import evaluate_lp_all_rels_on_single_test_set, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", + "model = load_kge_model(model_registry_paths[MODEL_ID])\n", + "test_triples_rel_restricted = test_triples_incl_ent_prop.new_with_restriction(relations=ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][NODE_ENDPOINT_TO_PREDICT])\n", "\n", - "if WRITE_TO_FILE:\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - " eval_out_dir = eval_out_dir.joinpath(timestr)\n", - " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", - " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", - " print(f\"Writing results to {str(eval_out_file)}\")\n", - " with open(eval_out_file, \"w+\") as f:\n", - " json.dump(results_by_node_degree_dicts_rotate, f)" - ] - }, - { - "cell_type": "markdown", - "id": "dfbed71d", - "metadata": { - "tags": [] - }, - "source": [ - "#### predict on bioblp-p" + "microvg_lp_func_kwargs = {\"model\": model, \n", + " \"eval_test_set_slug\": TEST,\n", + " \"eval_triples\": test_triples_rel_restricted,\n", + " \"train_triples\": triples_dict.get(TRAIN),\n", + " \"valid_triples\": triples_dict.get(VALID)}\n", + "\n", + "microvg_lp_results = evaluate_lp_all_rels_on_single_test_set(eval_triple_node_endpoint=EVAL_NODE_HEAD, **microvg_lp_func_kwargs)\n" ] }, { "cell_type": "code", - "execution_count": 32, - "id": "a9bd814c", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true, - "source_hidden": true - }, - "tags": [] - }, + "execution_count": 129, + "id": "f4265393", + "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n", - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpp-cttc3ucm\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 256/256 [1:17:47<00:00, 18.23s/it]\n" - ] + "data": { + "text/plain": [ + "{'Relation': 'All',\n", + " 'Count': 2,\n", + " 'hits_at_1': 0.0,\n", + " 'hits_at_3': 0.0,\n", + " 'hits_at_5': 0.0,\n", + " 'hits_at_10': 0.0,\n", + " 'inverse_harmonic_mean_rank': 0.0022858050651848316}" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "test_set_ = test #dummy_test_inc_attr\n", - "MODEL_ID = BIOBLP_P\n", - "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_dict = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " node_endpoint_to_predict=COL_SOURCE,\n", - " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", - " test_set_slug=TEST_RESTRICTED_ENT,\n", - " model_id=MODEL_ID,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " model_registry_cfg=model_reg_cfg\n", - ")\n", - "\n", - "results_by_node_degree_dicts_bioblpp = x.format_eval_results(results_dict, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC)\n" + "microvg_lp_results" ] }, { - "cell_type": "code", - "execution_count": 37, - "id": "42a313d4", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true, - "source_hidden": true - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{67.0: {'Relation': 'All',\n", - " 'Count': 288,\n", - " 'hits_at_1': 0.03819444444444445,\n", - " 'hits_at_3': 0.10416666666666667,\n", - " 'hits_at_5': 0.1736111111111111,\n", - " 'hits_at_10': 0.2326388888888889,\n", - " 'inverse_harmonic_mean_rank': 0.10360517766740586},\n", - 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" 284.0: {'Relation': 'All',\n", - " 'Count': 12,\n", - " 'hits_at_1': 0.16666666666666666,\n", - " 'hits_at_3': 0.25,\n", - " 'hits_at_5': 0.25,\n", - " 'hits_at_10': 0.25,\n", - " 'inverse_harmonic_mean_rank': 0.23131497701009113},\n", - " 277.0: {'Relation': 'All',\n", - " 'Count': 12,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.023788233598073322},\n", - " 253.0: {'Relation': 'All',\n", - " 'Count': 5,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.010327737033367156},\n", - " 221.0: {'Relation': 'All',\n", - " 'Count': 25,\n", - " 'hits_at_1': 0.36,\n", - " 'hits_at_3': 0.68,\n", - " 'hits_at_5': 0.96,\n", - " 'hits_at_10': 0.96,\n", - " 'inverse_harmonic_mean_rank': 0.5574727249145508},\n", - " 181.0: {'Relation': 'All',\n", - " 'Count': 14,\n", - " 'hits_at_1': 0.35714285714285715,\n", - " 'hits_at_3': 0.5,\n", - " 'hits_at_5': 0.5714285714285714,\n", - " 'hits_at_10': 0.5714285714285714,\n", - " 'inverse_harmonic_mean_rank': 0.45317619187491276},\n", - " 146.0: {'Relation': 'All',\n", - " 'Count': 4,\n", + "cell_type": "code", + "execution_count": 117, + "id": "b26db895", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{332.0: {'Relation': 'All',\n", + " 'Count': 1,\n", " 'hits_at_1': 0.0,\n", " 'hits_at_3': 0.0,\n", " 'hits_at_5': 0.0,\n", " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.01776876486837864},\n", - " 149.0: {'Relation': 'All',\n", - " 'Count': 19,\n", - " 'hits_at_1': 0.2631578947368421,\n", - " 'hits_at_3': 0.42105263157894735,\n", - " 'hits_at_5': 0.5263157894736842,\n", - " 'hits_at_10': 0.5789473684210527,\n", - " 'inverse_harmonic_mean_rank': 0.37122605976305506},\n", - " 206.0: {'Relation': 'All',\n", + " 'inverse_harmonic_mean_rank': 0.0007401924231089652},\n", + " 1387.0: {'Relation': 'All',\n", " 'Count': 1,\n", " 'hits_at_1': 0.0,\n", " 'hits_at_3': 0.0,\n", " 'hits_at_5': 0.0,\n", " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.03333333507180214},\n", - " 234.0: {'Relation': 'All',\n", - " 'Count': 17,\n", - " 'hits_at_1': 0.5882352941176471,\n", - " 'hits_at_3': 0.7058823529411765,\n", - " 'hits_at_5': 0.7647058823529411,\n", - " 'hits_at_10': 0.7647058823529411,\n", - " 'inverse_harmonic_mean_rank': 0.6459387610940373}}" + " 'inverse_harmonic_mean_rank': 0.003831417532637715}}" ] }, - "execution_count": 37, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "results_by_node_degree_dicts_bioblpp" + "results_by_node_degree_dicts_bioblpm['head']" ] }, { "cell_type": "code", "execution_count": null, - "id": "1285e521", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "id": "1b5ff778", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02cbd0a6", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "de50259b", + "metadata": {}, "outputs": [ { "name": "stderr", @@ -3331,104 +1150,68 @@ "name": "stdout", "output_type": "stream", "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpm-5rxz3k57\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 52%|█████▏ | 133/256 [47:55<27:57, 13.64s/it] " + "100%|██████████| 1170/1170 [7:48:53<00:00, 24.05s/it] \n" ] } ], "source": [ - "test_set_ = test #dummy_test_inc_attr\n", - "MODEL_ID = ROTATE\n", + "MODEL_ID = BIOBLP_M\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG \n", "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_dict = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " node_endpoint_to_predict=COL_SOURCE,\n", - " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", - " test_set_slug=TEST_RESTRICTED_ENT,\n", - " model_id=MODEL_ID,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " model_registry_cfg=model_reg_cfg\n", - ")\n", - "results_by_node_degree_dicts_rotate = x.format_eval_results(results_dict, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "7965750b", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true, - "source_hidden": true - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing results to metrics/bioblpp-cttc3ucm/20230407-054922/node-degree-eval.json\n" - ] - } - ], - "source": [ + "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", "\n", - "WRITE_TO_FILE=True\n", - "if WRITE_TO_FILE:\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - " eval_out_dir = eval_out_dir.joinpath(timestr)\n", - " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", - " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", - " print(f\"Writing results to {str(eval_out_file)}\")\n", - " with open(eval_out_file, \"w+\") as f:\n", - " json.dump(results_by_node_degree_dicts_bioblpp, f)\n" + "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpm = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_SET_SLUG], \n", + " test_set_slug=TEST_SET_SLUG,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True \n", + ")" ] }, { "cell_type": "code", - "execution_count": null, - "id": "68662d34", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "execution_count": 56, + "id": "52e182d4", + "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "1157ad23", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "id": "d0edb9f3", + "metadata": {}, "source": [ - "### predict on rotate" + "#### predict with rotate - drug" ] }, { "cell_type": "code", - "execution_count": 163, - "id": "0d4c692c", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "execution_count": 60, + "id": "c6005426", + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -3440,127 +1223,131 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 253/253 [1:05:45<00:00, 15.59s/it]\n" + "100%|██████████| 1170/1170 [7:36:25<00:00, 23.41s/it] \n" ] } ], "source": [ "MODEL_ID = ROTATE\n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "x = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_rotate_prot = x.evaluate(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " node_endpoint_to_predict=COL_SOURCE,\n", - " test_triples=triples_dict[TEST_RESTRICTED_ENT], \n", - " test_set_slug=TEST_RESTRICTED_ENT,\n", - " model_id=MODEL_ID,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " model_registry_cfg=model_reg_cfg\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG \n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpm = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_SET_SLUG], \n", + " test_set_slug=TEST_SET_SLUG,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True \n", ")" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "6f4aea03", + "cell_type": "markdown", + "id": "136e72de", "metadata": { - "jupyter": { - "source_hidden": true - } + "tags": [] }, - "outputs": [], "source": [ - "results_by_node_degree_dicts_rotate = {}\n", - "for result in results_by_node_degree_rotate:\n", - " results_by_node_degree_dicts_rotate[result['ent_degree']] = make_results_dict_all_rel(result['results'],\n", - " relation=result['relation'],\n", - " relation_count=result['count'],\n", - " triple_endpoint='tail',\n", - " metric_type='realistic'\n", - " )\n" + "#### predict on protein-containing relations using BioBLP-P and ROTATE" ] }, { "cell_type": "code", "execution_count": null, - "id": "8c4f4eb2", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "id": "99b0ac9f", + "metadata": {}, "outputs": [], "source": [ - "WRITE_TO_FILE=True\n", - "if WRITE_TO_FILE:\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - " eval_out_dir = eval_out_dir.joinpath(timestr)\n", - " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", - " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", - " print(f\"Writing results to {str(eval_out_file)}\")\n", - " with open(eval_out_file, \"w+\") as f:\n", - " json.dump(results_by_node_degree_dicts_rotate, f)\n" + "MODEL_ID = BIOBLP_P\n", + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN \n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpm = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_SET_SLUG], \n", + " test_set_slug=TEST_SET_SLUG,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True \n", + ")" ] }, { "cell_type": "code", - "execution_count": 60, - "id": "628d7bac", - "metadata": { - "jupyter": { - "source_hidden": true + "execution_count": null, + "id": "40766511", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 133/256 [47:55<27:57, 13.64s/it] " + ] } - }, - "outputs": [], + ], "source": [ - "MODEL_NAME_SLUG = ROTATE\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "MODEL_ID = ROTATE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN \n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", "\n", - "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", - " results_by_node_degree_dicts_rotate = json.load(f)\n" + "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", + "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpm = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=test, \n", + " test_set_slug=TEST_RESTRICTED_ENT,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + " )esults_by_node_degree_dicts_rotate = x.format_eval_results(results_dict, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC)\n" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "a4173e36", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", - "id": "715026b3", + "id": "56e9f2c8", "metadata": {}, "source": [ "### Plots V2 - (improved 17/03) - Plotting the difference in LP scores by RotatE and BioBLP-X" ] }, - { - "cell_type": "code", - "execution_count": 68, - "id": "7c26ef1a", - "metadata": {}, - "outputs": [], - "source": [ - "def get_unique_endpoint_entities_in_testset_of_given_degree(test_df, degree, node_endpoint_type=None,):\n", - " if node_endpoint_type not in [COL_SOURCE, COL_TARGET]:\n", - " raise ValueError(f\"Invalid node end point type {node_endpoint_type}. Allowed values are '{COL_SOURCE}' and '{COL_TARGET}'\")\n", - " test_subset = test_df[test_df[f\"{node_endpoint_type}_training_degree\"]==degree]\n", - " test_unique_ents = test_subset[node_endpoint_type].unique()\n", - " return test_unique_ents\n" - ] - }, { "cell_type": "code", "execution_count": 72, - "id": "670cc3de", + "id": "7c57ae3b", "metadata": {}, "outputs": [], "source": [ @@ -3580,7 +1367,7 @@ { "cell_type": "code", "execution_count": 73, - "id": "4e519049", + "id": "4bb3d0c0", "metadata": {}, "outputs": [], "source": [ @@ -3596,7 +1383,7 @@ { "cell_type": "code", "execution_count": 78, - "id": "e2f83480", + "id": "303b287b", "metadata": {}, "outputs": [ { @@ -3736,7 +1523,7 @@ { "cell_type": "code", "execution_count": 79, - "id": "5afb1e85", + "id": "6bda8647", "metadata": {}, "outputs": [], "source": [ @@ -3748,7 +1535,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e2493ee9", + "id": "d86cc1bb", "metadata": {}, "outputs": [], "source": [] @@ -3756,12 +1543,8 @@ { "cell_type": "code", "execution_count": 56, - "id": "15090e11", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "id": "c20bf7f3", + "metadata": {}, "outputs": [], "source": [ "rotate_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_rotate, orient='index')\n", @@ -3776,12 +1559,11 @@ { "cell_type": "code", "execution_count": 80, - "id": "dca96557", + "id": "9c7a6b0e", "metadata": { "collapsed": true, "jupyter": { - "outputs_hidden": true, - "source_hidden": true + "outputs_hidden": true } }, "outputs": [ @@ -3814,12 +1596,11 @@ { "cell_type": "code", "execution_count": 81, - "id": "16fbbb60", + "id": "cbc16398", "metadata": { "collapsed": true, "jupyter": { - "outputs_hidden": true, - "source_hidden": true + "outputs_hidden": true } }, "outputs": [ @@ -3921,12 +1702,8 @@ { "cell_type": "code", "execution_count": 61, - "id": "57c31e3d", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "id": "6c54eb4c", + "metadata": {}, "outputs": [], "source": [ "from nb_utils.eval_utils import EVAL_METRICS_SHORTLIST\n", @@ -3934,10 +1711,58 @@ " merged_df[metric] = merged_df[f'{metric}_rotate'] - merged_df[f'{metric}_bioblpp']" ] }, + { + "cell_type": "markdown", + "id": "d0502cb5", + "metadata": {}, + "source": [ + "### define plotting logic" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "c5e0be99", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36a8b80a", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.ticker as ticker\n", + "metric_name=IN_DEGREEnverse_harmonic_mean_rank'\n", + "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", + "plot, ax = plt.subplots(figsize=(10,10))\n", + "sns.color_palette(\"flare\", as_cmap=True)\n", + "#s_square = [n*n for n in props] \n", + "s_square = [n*n for n in num_unique_ents] \n", + "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", + "plt.xscale('log')\n", + "#ax.legend(title='# unique entities')\n", + "plt.ylabel(metric_name)\n", + "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTR_ENCODE} entity being predicted')\n", + "plt.xticks(degrees, rotation='vertical')\n", + "\n", + "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + "plt.title(f'(avg_{metric_name}_rotate) - (avg_{metric_name}_{BIOBLP_M}) \\n Difference b/w both models in {metric_name} when predicting {ENTITY_TYPE_W_ATTR_ENCODE} as {NODE_ENDPOINT_TO_PREDICT} node, Vs. {ENTITY_TYPE_W_ATTR_ENCODE} node degree')\n", + "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{BIOBLP_M}-{ROTATE}')" + ] + }, { "cell_type": "code", "execution_count": 86, - "id": "33940e98", + "id": "4378a4ca", "metadata": { "tags": [] }, @@ -3980,7 +1805,7 @@ { "cell_type": "code", "execution_count": 98, - "id": "374bb073", + "id": "fa61a6fa", "metadata": {}, "outputs": [ { @@ -4038,7 +1863,7 @@ { "cell_type": "code", "execution_count": 94, - "id": "7770e5ea", + "id": "08fb6776", "metadata": {}, "outputs": [], "source": [ @@ -4052,7 +1877,7 @@ { "cell_type": "code", "execution_count": 95, - "id": "95958ee7", + "id": "55875c83", "metadata": {}, "outputs": [ { @@ -4079,7 +1904,7 @@ { "cell_type": "code", "execution_count": 96, - "id": "d084ba58", + "id": "3eda3d28", "metadata": {}, "outputs": [ { @@ -4103,7 +1928,7 @@ { "cell_type": "code", "execution_count": 97, - "id": "865dd779", + "id": "2e0ac6b4", "metadata": {}, "outputs": [ { @@ -4127,7 +1952,7 @@ { "cell_type": "code", "execution_count": 98, - "id": "27eaec4b", + "id": "2286414a", "metadata": {}, "outputs": [ { @@ -4148,7 +1973,7 @@ { "cell_type": "code", "execution_count": 99, - "id": "d8f7be4c", + "id": "f95ef00f", "metadata": {}, "outputs": [ { @@ -4224,7 +2049,7 @@ }, { "cell_type": "markdown", - "id": "2ee395db", + "id": "ab3eba70", "metadata": {}, "source": [ "Save custom plots to Weights and biases" @@ -4233,7 +2058,7 @@ { "cell_type": "code", "execution_count": 117, - "id": "9d65cd04", + "id": "85728dc1", "metadata": {}, "outputs": [ { @@ -4259,7 +2084,7 @@ { "cell_type": "code", "execution_count": 120, - "id": "309a4a8e", + "id": "a78d8009", "metadata": {}, "outputs": [], "source": [ @@ -4275,7 +2100,7 @@ { "cell_type": "code", "execution_count": null, - "id": "383aabe7", + "id": "b85a5856", "metadata": {}, "outputs": [], "source": [ @@ -4286,7 +2111,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "b55feefd", + "id": "6c72f30e", "metadata": {}, "outputs": [], "source": [ @@ -4300,14 +2125,14 @@ { "cell_type": "code", "execution_count": null, - "id": "8d42dae6", + "id": "98c9e053", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "c11ad3f4", + "id": "4dab7466", "metadata": {}, "source": [ "### Protein stuff" @@ -4316,7 +2141,7 @@ { "cell_type": "code", "execution_count": 58, - "id": "8aaef695", + "id": "fb10ad1b", "metadata": { "tags": [] }, @@ -4359,7 +2184,7 @@ { "cell_type": "code", "execution_count": 87, - "id": "f398138f", + "id": "e6f55e8a", "metadata": {}, "outputs": [ { @@ -4417,7 +2242,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "a07552d9", + "id": "cf262552", "metadata": { "collapsed": true, "jupyter": { @@ -4473,14 +2298,14 @@ { "cell_type": "code", "execution_count": null, - "id": "0ddab3e7", + "id": "a3197bb2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "5cbc7366", + "id": "07cd20e3", "metadata": {}, "source": [ "### Plots V1 - Separate series plotted for BioBLP-D and RotatE" @@ -4488,7 +2313,7 @@ }, { "cell_type": "markdown", - "id": "6356486b", + "id": "1a4d730c", "metadata": {}, "source": [ "load from file" @@ -4497,7 +2322,7 @@ { "cell_type": "code", "execution_count": 68, - "id": "5ac463b2", + "id": "cecb2fff", "metadata": {}, "outputs": [], "source": [ @@ -4514,7 +2339,7 @@ { "cell_type": "code", "execution_count": 69, - "id": "f4353587", + "id": "4e4b1aa2", "metadata": {}, "outputs": [ { @@ -4541,7 +2366,7 @@ { "cell_type": "code", "execution_count": 91, - "id": "b77a6a87", + "id": "c1f0fdfa", "metadata": {}, "outputs": [ { @@ -4568,7 +2393,7 @@ { "cell_type": "code", "execution_count": 48, - "id": "f36469f8", + "id": "10b10cc8", "metadata": {}, "outputs": [ { @@ -4631,7 +2456,7 @@ { "cell_type": "code", "execution_count": 49, - "id": "7aff055f", + "id": "68cb1926", "metadata": {}, "outputs": [], "source": [ @@ -4644,7 +2469,7 @@ }, { "cell_type": "markdown", - "id": "98d17c9a", + "id": "88f8d9df", "metadata": { "tags": [] }, @@ -4654,7 +2479,7 @@ }, { "cell_type": "markdown", - "id": "b7036d62", + "id": "8e3fd660", "metadata": {}, "source": [ "All plots below look quite similar!" @@ -4662,7 +2487,7 @@ }, { "cell_type": "markdown", - "id": "1e6f07fa", + "id": "f742154a", "metadata": {}, "source": [ "load from file" @@ -4671,7 +2496,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "abcd4398", + "id": "2e192972", "metadata": { "tags": [] }, @@ -4688,7 +2513,7 @@ { "cell_type": "code", "execution_count": 92, - "id": "aba837f2", + "id": "da24f4eb", "metadata": {}, "outputs": [ { @@ -4711,7 +2536,7 @@ { "cell_type": "code", "execution_count": 86, - "id": "92709e06", + "id": "6925c1a1", "metadata": {}, "outputs": [], "source": [ @@ -4721,7 +2546,7 @@ { "cell_type": "code", "execution_count": 92, - "id": "0b8d84c0", + "id": "998549ce", "metadata": {}, "outputs": [ { @@ -4751,7 +2576,7 @@ { "cell_type": "code", "execution_count": 93, - "id": "58c7412a", + "id": "7b82c1a3", "metadata": {}, "outputs": [ { @@ -4782,7 +2607,7 @@ { "cell_type": "code", "execution_count": 90, - "id": "418a5099", + "id": "a3d84154", "metadata": {}, "outputs": [ { @@ -4812,7 +2637,7 @@ }, { "cell_type": "markdown", - "id": "683e3156", + "id": "f46f4d40", "metadata": { "tags": [] }, @@ -4823,7 +2648,7 @@ { "cell_type": "code", "execution_count": 53, - "id": "4879b403", + "id": "be15f70f", "metadata": {}, "outputs": [], "source": [ @@ -4834,7 +2659,7 @@ { "cell_type": "code", "execution_count": 114, - "id": "65726a60", + "id": "dfb307e5", "metadata": {}, "outputs": [ { @@ -4860,7 +2685,7 @@ { "cell_type": "code", "execution_count": 113, - "id": "39335842", + "id": "50ec0365", "metadata": {}, "outputs": [ { @@ -4884,7 +2709,7 @@ { "cell_type": "code", "execution_count": 112, - "id": "8460c26c", + "id": "fda60380", "metadata": {}, "outputs": [ { @@ -4908,7 +2733,7 @@ { "cell_type": "code", "execution_count": 98, - "id": "85f12c15", + "id": "f6a6de2a", "metadata": {}, "outputs": [ { @@ -4929,7 +2754,7 @@ { "cell_type": "code", "execution_count": 99, - "id": "b0c7256f", + "id": "a9d33b51", "metadata": {}, "outputs": [ { @@ -5005,7 +2830,7 @@ }, { "cell_type": "markdown", - "id": "48d23646", + "id": "ba0f8bb0", "metadata": {}, "source": [ "Save custom plots to Weights and biases" @@ -5014,7 +2839,7 @@ { "cell_type": "code", "execution_count": 117, - "id": "b13ff525", + "id": "55dd429d", "metadata": {}, "outputs": [ { @@ -5040,7 +2865,7 @@ { "cell_type": "code", "execution_count": 120, - "id": "a1517049", + "id": "0c4fdf93", "metadata": {}, "outputs": [], "source": [ @@ -5056,7 +2881,7 @@ { "cell_type": "code", "execution_count": null, - "id": "262e5cde", + "id": "20d6347b", "metadata": {}, "outputs": [], "source": [ @@ -5067,7 +2892,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "ee38126a", + "id": "5ddb237a", "metadata": {}, "outputs": [], "source": [ @@ -5080,7 +2905,7 @@ }, { "cell_type": "markdown", - "id": "c149f73f", + "id": "2f6c0b81", "metadata": {}, "source": [ "## " @@ -5089,7 +2914,7 @@ { "cell_type": "code", "execution_count": 188, - "id": "40c748c9", + "id": "e26fb63e", "metadata": {}, "outputs": [], "source": [ @@ -5102,7 +2927,7 @@ { "cell_type": "code", "execution_count": 206, - "id": "1eed6d6e", + "id": "7d24cb1b", "metadata": {}, "outputs": [], "source": [ @@ -5116,7 +2941,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1954cfdc", + "id": "ce774b92", "metadata": {}, "outputs": [], "source": [] @@ -5124,7 +2949,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9fdb2d1a", + "id": "06816e0a", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/nb_utils/artifact_registry.toml b/notebooks/nb_utils/artifact_registry.toml index 6338d9b..9b0bbb8 100644 --- a/notebooks/nb_utils/artifact_registry.toml +++ b/notebooks/nb_utils/artifact_registry.toml @@ -38,7 +38,7 @@ drug = "biokg_molecule_embeddings_idx_mapping.json" [kge_models.registered_models] # model directory path relative to model_registry_root_dir rotate-otxtubeb = "rotate-otxtubeb" +bioblpd-38uz9fjs-16-03-2023 = "bioblpd-38uz9fjs-16-03-2023" bioblpd-38uz9fjs = "bioblpd-38uz9fjs" bioblpp-cttc3ucm = "bioblpp-cttc3ucm" bioblpm-5rxz3k57 = "bioblpm-5rxz3k57" - diff --git a/notebooks/nb_utils/config.py b/notebooks/nb_utils/config.py index 397bc13..fd037e7 100644 --- a/notebooks/nb_utils/config.py +++ b/notebooks/nb_utils/config.py @@ -11,7 +11,7 @@ DISEASE = 'disease' -MOLECULE = 'molecule' +DRUG = 'drug' PROTEIN = 'protein' @@ -20,7 +20,7 @@ class EntityType(str, Enum): disease = DISEASE - molecule = MOLECULE + drug = DRUG protein = PROTEIN diff --git a/notebooks/nb_utils/eval_utils.py b/notebooks/nb_utils/eval_utils.py index 741c3b6..52013f9 100644 --- a/notebooks/nb_utils/eval_utils.py +++ b/notebooks/nb_utils/eval_utils.py @@ -1,6 +1,7 @@ from abc import ABC from enum import Enum import matplotlib.pyplot as plt +from collections import defaultdict from .config import GraphRegistryConfig from .config import ModelRegistryConfig import json @@ -19,18 +20,6 @@ ###### Define CONSTANTS ###### -TEST = "test" -VALID = "valid" -TRAIN = "train" -DUMMY = "dummy" -TEST_RESTRICTED_DIS = "TEST_RESTRICTED_DIS" -TEST_EXCLUDING_DIS = "TEST_EXCLUDING_DIS" -VALID_RESTRICTED_DIS = "VALID_RESTRICTED_DIS" -TEST_RESTRICTED_PROT = "TEST_RESTRICTED_PROT" -TEST_EXCLUDING_PROT = "TEST_EXCLUDING_PROT" -TEST_RESTRICTED_ENT = "TEST_RESTRICTED_ENT" -TEST_EXCLUDING_ENT = "TEST_EXCLUDING_ENT" - COL_SOURCE = "src" COL_TARGET = "tgt" COL_EDGE = "rel" @@ -44,11 +33,39 @@ DRUG = 'drug' PROTEIN = 'protein' + +TEST = "test" +VALID = "valid" +TRAIN = "train" +DUMMY = "dummy" +TEST_RESTRICTED_DISEASE = "TEST_RESTRICTED_DISEASE" +TEST_EXCLUDING_DISEASE = "TEST_EXCLUDING_DISEASE" +VALID_RESTRICTED_DISEASE = "VALID_RESTRICTED_DISEASE" +TEST_RESTRICTED_PROTEIN = "TEST_RESTRICTED_PROTEIN" +TEST_EXCLUDING_PROTEIN = "TEST_EXCLUDING_PROTEIN" +TEST_RESTRICTED_DRUG = "TEST_RESTRICTED_DRUG" +TEST_EXCLUDING_DRUG = "TEST_EXCLUDING_DRUG" +TEST_RESTRICTED_ENT = "TEST_RESTRICTED_ENT" +TEST_EXCLUDING_ENT = "TEST_EXCLUDING_ENT" + +ENT_SPECIFIC_TEST_SET_STUBS = { + DISEASE: TEST_RESTRICTED_DISEASE, + PROTEIN: TEST_RESTRICTED_PROTEIN, + DRUG: TEST_RESTRICTED_DRUG +} + ##### Relations ##### +COMPLEX_IN_PATHWAY = 'COMPLEX_IN_PATHWAY' +COMPLEX_TOP_LEVEL_PATHWAY = 'COMPLEX_TOP_LEVEL_PATHWAY' +DDI = 'DDI' +DISEASE_GENETIC_DISORDER = "DISEASE_GENETIC_DISORDER" +DISEASE_PATHWAY_ASSOCIATION = "DISEASE_PATHWAY_ASSOCIATION" DPI = "DPI" DRUG_CARRIER = "DRUG_CARRIER" +DRUG_DISEASE_ASSOCIATION = 'DRUG_DISEASE_ASSOCIATION' DRUG_ENZYME = 'DRUG_ENZYME' +DRUG_PATHWAY_ASSOCIATION = 'DRUG_PATHWAY_ASSOCIATION' DRUG_TARGET = 'DRUG_TARGET' DRUG_TRANSPORTER = 'DRUG_TRANSPORTER' MEMBER_OF_COMPLEX = 'MEMBER_OF_COMPLEX' @@ -56,10 +73,7 @@ PROTEIN_DISEASE_ASSOCIATION = 'PROTEIN_DISEASE_ASSOCIATION' PROTEIN_PATHWAY_ASSOCIATION = 'PROTEIN_PATHWAY_ASSOCIATION' RELATED_GENETIC_DISORDER = 'RELATED_GENETIC_DISORDER' -DDI = 'DDI' -DRUG_DISEASE_ASSOCIATION = 'DRUG_DISEASE_ASSOCIATION' -DRUG_PATHWAY_ASSOCIATION = 'DRUG_PATHWAY_ASSOCIATION' -DRUG_TRANSPORTER = 'DRUG_TRANSPORTER' + PROT_ASSOC_REL_NAMES = [DPI, DRUG_CARRIER, DRUG_ENZYME, DRUG_TARGET, DRUG_TRANSPORTER, MEMBER_OF_COMPLEX, @@ -70,14 +84,20 @@ DRUG_ENZYME, DRUG_PATHWAY_ASSOCIATION, DRUG_TARGET, DRUG_TRANSPORTER] -DISEASE_ASSOC_REL_NAMES = [] +DISEASE_ASSOC_REL_NAMES = [PROTEIN_DISEASE_ASSOCIATION, + DRUG_DISEASE_ASSOCIATION, + DISEASE_PATHWAY_ASSOCIATION, + DISEASE_GENETIC_DISORDER] + DEFAULT_RELATIVE_EVAL_DIR = "./metrics/" # todo infer this programmatically, but it might require iterating through all entities ENT_ASSOC_REL_NAMES = { - DISEASE: {COL_SOURCE: [], - COL_TARGET: [] + DISEASE: {COL_SOURCE: [PROTEIN_DISEASE_ASSOCIATION, + DRUG_DISEASE_ASSOCIATION], + COL_TARGET: [DISEASE_PATHWAY_ASSOCIATION, + DISEASE_GENETIC_DISORDER] }, PROTEIN: {COL_SOURCE: [MEMBER_OF_COMPLEX, PPI, @@ -341,14 +361,18 @@ def create_entity_attr_aware_test_sets(entity_type_w_attribute: str, entity_metadata_path = graph_cfg.biokgb_entity_type_metadata_paths.get(entity_type_w_attribute) entity_attribute_path = graph_cfg.biokgb_entity_attribute_paths.get(entity_type_w_attribute) - # create a subset of biokg entities of type Protein - entities = pd.read_csv(entity_metadata_path, sep="\t", names=[entity_type_w_attribute, "rel", "node_type"]) + # create a subset of biokg entities of type {entity_type_w_attribute} + entities = pd.read_csv(entity_metadata_path, sep="\t", names=[entity_type_w_attribute, COL_EDGE, "node_type"]) entity_set = set(entities[entity_type_w_attribute].values) print(f"# {entity_type_w_attribute} entities in larger biokg (pre-benchmark removal): {len(entity_set)}") - # create a set of protein entities for which we have text descriptions - entity_w_attr_df = pd.read_json(entity_attribute_path, orient="index").reset_index()#, sep="\t", header=0, names=["protein", "attr"]) - entity_w_attr_df.rename(columns={"index": entity_type_w_attribute, 0: "attr"}, inplace=True) + # create a set of {entity_type_w_attribute} entities for which we have attr descriptions (e.g.: text for Diseases) + # TODO: Currently a quick hack. Standardise input reading + try: + entity_w_attr_df = pd.read_json(entity_attribute_path, orient="index").reset_index() + entity_w_attr_df.rename(columns={"index": entity_type_w_attribute, 0: "attr"}, inplace=True) + except: + entity_w_attr_df = pd.read_csv(entity_attribute_path, sep="\t", header=0, names=[entity_type_w_attribute, "attr"]) entity_attr_set = set(entity_w_attr_df[entity_type_w_attribute].values) print(f"# {entity_type_w_attribute} entities for which we have attributes: {len(entity_attr_set)}") @@ -452,7 +476,6 @@ def __init__(self, self.node_train_degree_dict = None self._compute_train_node_degree(train_triples=train_triples) self.rels_assoc_by_node_endpoint_type_dict = rels_assoc_by_node_endpoint_type_dict - self.report = EvalReport() def _compute_train_node_degree(self, train_triples): training_df = pd.DataFrame(train_triples.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET]) @@ -477,6 +500,7 @@ def evaluate(self, model_registry_cfg=None, test_set_slug=TEST): # self.node_endpoint_to_predict = node_endpoint_to_predict + print(f"Evaluating LP metrics on triples which have {entity_type_to_predict} in {node_endpoint_to_predict} position, using kge from model {model_id}") test_triples_with_degree_df = self.prep_test_data(test_triples) test_triples_with_degree_subset_df = self._create_test_df_subset_given_node_endpoint_type_to_predict(test_df = test_triples_with_degree_df, entity_type_to_predict=entity_type_to_predict, @@ -498,19 +522,20 @@ def evaluate(self, - def format_eval_results(self, eval_results, eval_triple_endpoint_list=[EVAL_NODE_HEAD], eval_metric_type=EVAL_METRIC_REALISTIC): - results_by_node_degree_dicts = {} - for eval_triple_endpoint in eval_triple_endpoint: + def format_eval_results(self, eval_results, eval_triple_endpoint_list=[EVAL_NODE_HEAD, EVAL_NODE_TAIL, EVAL_NODE_BOTH], eval_metric_type=EVAL_METRIC_REALISTIC): + results_by_node_degree_dicts = defaultdict(dict) + for eval_triple_endpoint in eval_triple_endpoint_list: for result in eval_results: - results_by_node_degree_dicts[result['ent_degree']] = make_results_dict_all_rel(result['results'], + results_by_node_degree_dicts[eval_triple_endpoint][result['ent_degree']] = make_results_dict_all_rel(result['results'], relation=result['relation'], relation_count=result['count'], triple_endpoint=eval_triple_endpoint, metric_type=eval_metric_type ) return results_by_node_degree_dicts - + + def evaluate_and_format(self, entity_type_to_predict, node_endpoint_to_predict, @@ -520,18 +545,19 @@ def evaluate_and_format(self, valid_triples, model_registry_cfg=None, test_set_slug=TEST, - eval_triple_endpoint_list=[EVAL_NODE_HEAD, EVAL_NODE_TAIL], + eval_triple_endpoint_list=[EVAL_NODE_HEAD, EVAL_NODE_TAIL, EVAL_NODE_BOTH], eval_metric_type=EVAL_METRIC_REALISTIC, eval_out_dir=None, write_results_to_file=True ): - results_by_node_degree = self.evaluate(entity_type_to_predict, - node_endpoint_to_predict, - test_triples, - model_id, - train_triples, - valid_triples, - model_registry_cfg=None, + + results_by_node_degree = self.evaluate(entity_type_to_predict=entity_type_to_predict, + node_endpoint_to_predict=node_endpoint_to_predict, + test_triples=test_triples, + model_id=model_id, + train_triples=train_triples, + valid_triples=valid_triples, + model_registry_cfg=model_registry_cfg, test_set_slug=TEST) results_by_node_degree_dicts = self.format_eval_results(results_by_node_degree, @@ -547,27 +573,27 @@ def evaluate_and_format(self, eval_out_dir = Path(eval_out_dir).joinpath(f"{model_id}/{timestr}") eval_out_dir.mkdir(exist_ok=True, parents=True) - for eval_triple_endpoint_key, endpoint_results_dict in results_by_node_degree_dicts.items(): - eval_out_file = eval_out_dir.joinpath(f"{eval_triple_endpoint_key}-node-degree-eval.json") - eval_metadata = eval_out_dir.joinpath(f"{eval_triple_endpoint_key}-metadata.json") - - with open(eval_out_file, "w+") as f: - print(f"Writing results to {str(eval_out_file)}") - json.dump(endpoint_results_dict, f) + eval_out_file = eval_out_dir.joinpath(f"node-degree-eval.json") + eval_metadata_file = eval_out_dir.joinpath(f"metadata.json") + with open(eval_out_file, "w+") as f: print(f"Writing results to {str(eval_out_file)}") - with open(eval_metadata_file, "w+") as f: - metadata_dict={ - "model_id": model_id, - "entity_type_to_predict": entity_type_to_predict, - "eval_triple_endpoint_key": eval_triple_endpoint_key, - "eval_metric_type": eval_metric_type - } - json.dump(metadata_dict, f) - + json.dump(results_by_node_degree_dicts, f) + + print(f"Writing results to {str(eval_metadata_file)}") + with open(eval_metadata_file, "w+") as f: + metadata_dict={ + "model_id": model_id, + "entity_type_to_predict": entity_type_to_predict, + "entity_occuring_in_head_or_tail_position": node_endpoint_to_predict, + "eval_metric_type": eval_metric_type + } + json.dump(metadata_dict, f) + return results_by_node_degree_dicts - + + def write_to_file(self, write_results_to_file=True, eval_out_dir=None, results_by_node_degree_dicts=None, entity_type_to_predict=DRUG, node_endpoint_to_predict=COL_SOURCE): @@ -594,18 +620,8 @@ def write_to_file(self, write_results_to_file=True, eval_out_dir=None, results_b "eval_metric_type": eval_metric_type } json.dump(metadata_dict, f) - def format_eval_results(self, eval_results, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC): - results_by_node_degree_dicts = {} - for result in eval_results: - results_by_node_degree_dicts[result['ent_degree']] = make_results_dict_all_rel(result['results'], - relation=result['relation'], - relation_count=result['count'], - triple_endpoint=eval_triple_endpoint, - metric_type=eval_metric_type - ) - return results_by_node_degree_dicts - - + + def _create_test_df_subset_given_node_endpoint_type_to_predict(self, test_df, entity_type_to_predict, @@ -615,13 +631,6 @@ def _create_test_df_subset_given_node_endpoint_type_to_predict(self, -@dataclass -class EvalReport: - results_dict: dict = None - - - - def compute_metrics_over_triples_with_ent_node_endpoint(model_id, test_triples_w_node_degree_df, test_set_slug, From 0c72b55a6885acece2ce59e4d44d4bfa133197ea Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Thu, 20 Apr 2023 12:42:41 +0000 Subject: [PATCH 04/10] add test and functions for plots --- .../07_04_01_eval_lp_node_degree_effect.ipynb | 1141 ++++++++--------- notebooks/nb_utils/eval_utils.py | 2 - 2 files changed, 536 insertions(+), 607 deletions(-) diff --git a/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb index a18fb04..5ed8f17 100644 --- a/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb +++ b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "362cdaac", + "id": "0238129e", "metadata": {}, "outputs": [], "source": [ @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "e281b358", + "id": "1e3bcbb5", "metadata": {}, "source": [ "### Imports" @@ -22,7 +22,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "048fab98", + "id": "abcda36f", "metadata": {}, "outputs": [ { @@ -56,7 +56,7 @@ { "cell_type": "code", "execution_count": 138, - "id": "058c57e8", + "id": "2c6008a0", "metadata": {}, "outputs": [ { @@ -96,7 +96,7 @@ }, { "cell_type": "markdown", - "id": "6cc28c19", + "id": "37d51fca", "metadata": {}, "source": [ "### load data" @@ -104,7 +104,7 @@ }, { "cell_type": "markdown", - "id": "f1566c2b", + "id": "832e30ee", "metadata": {}, "source": [ "1. add the paths to the following models and biokg files in ./nb_utils/artifact_registry.toml\n", @@ -114,7 +114,7 @@ { "cell_type": "code", "execution_count": 93, - "id": "20dabcfa", + "id": "da4dfdde", "metadata": {}, "outputs": [], "source": [ @@ -128,7 +128,7 @@ { "cell_type": "code", "execution_count": 94, - "id": "ab967fe5", + "id": "8a119a23", "metadata": {}, "outputs": [], "source": [ @@ -141,7 +141,7 @@ { "cell_type": "code", "execution_count": 95, - "id": "b45fc1b2", + "id": "38307f47", "metadata": {}, "outputs": [ { @@ -162,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "43c47015", + "id": "57f63572", "metadata": { "tags": [] }, @@ -173,7 +173,7 @@ { "cell_type": "code", "execution_count": 45, - "id": "d60d4a59", + "id": "2833b0f4", "metadata": {}, "outputs": [], "source": [ @@ -183,7 +183,7 @@ }, { "cell_type": "markdown", - "id": "68bebc06", + "id": "18a1664c", "metadata": {}, "source": [ "### load triples data" @@ -192,7 +192,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "cab0718a", + "id": "5e17c6f1", "metadata": {}, "outputs": [ { @@ -219,7 +219,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "f4a6bb11", + "id": "8deb7309", "metadata": { "tags": [] }, @@ -248,7 +248,7 @@ { "cell_type": "code", "execution_count": 119, - "id": "4649c46b", + "id": "8f2e0a3c", "metadata": {}, "outputs": [], "source": [ @@ -264,7 +264,7 @@ }, { "cell_type": "markdown", - "id": "9d794ce7", + "id": "65c29e75", "metadata": {}, "source": [ "creating a dummy set of triples for unit testing purposes" @@ -273,11 +273,8 @@ { "cell_type": "code", "execution_count": 120, - "id": "71b97024", + "id": "55d16186", "metadata": { - "jupyter": { - "source_hidden": true - }, "tags": [] }, "outputs": [], @@ -292,7 +289,7 @@ { "cell_type": "code", "execution_count": 139, - "id": "54c59865", + "id": "960aa626", "metadata": {}, "outputs": [], "source": [ @@ -308,7 +305,7 @@ }, { "cell_type": "markdown", - "id": "7b23de6e", + "id": "a0433daa", "metadata": {}, "source": [ "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not" @@ -317,7 +314,7 @@ { "cell_type": "code", "execution_count": 140, - "id": "7e83d174", + "id": "ee7caeed", "metadata": {}, "outputs": [ { @@ -412,7 +409,7 @@ { "cell_type": "code", "execution_count": 46, - "id": "f245e36e", + "id": "7e9ea67c", "metadata": {}, "outputs": [], "source": [ @@ -424,7 +421,7 @@ { "cell_type": "code", "execution_count": 142, - "id": "0c2e32fd", + "id": "c1134953", "metadata": {}, "outputs": [ { @@ -447,7 +444,7 @@ }, { "cell_type": "markdown", - "id": "b7a71b09", + "id": "978f9bf2", "metadata": {}, "source": [ "# Evaluation" @@ -455,7 +452,7 @@ }, { "cell_type": "markdown", - "id": "900fcc0f", + "id": "f9d2ed0e", "metadata": {}, "source": [ "wandb logging" @@ -464,7 +461,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "e1379de9", + "id": "c1eb5922", "metadata": {}, "outputs": [ { @@ -486,7 +483,7 @@ }, { "cell_type": "markdown", - "id": "db69ad6e", + "id": "6bcce772", "metadata": {}, "source": [ "sanity check logic for experiment run with wandb logging" @@ -495,7 +492,7 @@ { "cell_type": "code", "execution_count": 55, - "id": "b48a1ccd", + "id": "a8061f01", "metadata": {}, "outputs": [], "source": [ @@ -509,7 +506,7 @@ }, { "cell_type": "markdown", - "id": "02f63b77", + "id": "cf758db0", "metadata": {}, "source": [ "Triples with protein as src entity far outnumber triples with protein as tail entity. \n" @@ -517,7 +514,7 @@ }, { "cell_type": "markdown", - "id": "4bb30aad", + "id": "2417de72", "metadata": {}, "source": [ "### average performance predicting the node which has an entity degree of x\n", @@ -528,7 +525,7 @@ { "cell_type": "code", "execution_count": 39, - "id": "169e48b7", + "id": "26f99037", "metadata": {}, "outputs": [ { @@ -561,7 +558,7 @@ }, { "cell_type": "markdown", - "id": "1c4f204a", + "id": "c0ccc05f", "metadata": { "tags": [] }, @@ -572,7 +569,7 @@ { "cell_type": "code", "execution_count": 145, - "id": "baba1b1a", + "id": "2f160a51", "metadata": {}, "outputs": [ { @@ -606,7 +603,7 @@ { "cell_type": "code", "execution_count": 146, - "id": "9f3508d1", + "id": "38d9bbd1", "metadata": {}, "outputs": [ { @@ -629,7 +626,7 @@ { "cell_type": "code", "execution_count": 147, - "id": "699c8a9d", + "id": "ff7cc6fc", "metadata": {}, "outputs": [ { @@ -649,7 +646,7 @@ { "cell_type": "code", "execution_count": 66, - "id": "65404f68", + "id": "e92a71ec", "metadata": {}, "outputs": [ { @@ -668,7 +665,7 @@ { "cell_type": "code", "execution_count": 63, - "id": "d6c1bce5", + "id": "dab28f09", "metadata": {}, "outputs": [ { @@ -698,7 +695,7 @@ { "cell_type": "code", "execution_count": 64, - "id": "f5a83f41", + "id": "4a358af2", "metadata": { "tags": [] }, @@ -730,7 +727,7 @@ { "cell_type": "code", "execution_count": 67, - "id": "8dd94ae4", + "id": "23125bda", "metadata": {}, "outputs": [ { @@ -754,7 +751,7 @@ { "cell_type": "code", "execution_count": 68, - "id": "5fd45807", + "id": "d4bde513", "metadata": {}, "outputs": [ { @@ -777,7 +774,7 @@ { "cell_type": "code", "execution_count": 69, - "id": "54903f77", + "id": "136932a1", "metadata": {}, "outputs": [ { @@ -805,7 +802,7 @@ { "cell_type": "code", "execution_count": 70, - "id": "07cbfd17", + "id": "2d2aac1f", "metadata": {}, "outputs": [ { @@ -833,7 +830,7 @@ { "cell_type": "code", "execution_count": 71, - "id": "a298beba", + "id": "7e6da4bc", "metadata": {}, "outputs": [ { @@ -868,7 +865,7 @@ { "cell_type": "code", "execution_count": 72, - "id": "64318aba", + "id": "f1dd0c4b", "metadata": {}, "outputs": [], "source": [ @@ -879,16 +876,16 @@ }, { "cell_type": "markdown", - "id": "3c1ec5e2", + "id": "e0b2a451", "metadata": {}, "source": [ - "#### dummy test data" + "## sanity check the evaluation procedure" ] }, { "cell_type": "code", - "execution_count": 112, - "id": "0257bf27", + "execution_count": null, + "id": "1163b13b", "metadata": {}, "outputs": [ { @@ -903,45 +900,145 @@ "name": "stdout", "output_type": "stream", "text": [ - "# drug entities in larger biokg (pre-benchmark removal): 13580\n", - "# drug entities for which we have attributes: 10815\n" + "Evaluating LP metrics on triples which have disease in src position, using kge from model rotate-otxtubeb\n", + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" ] }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 17%|█▋ | 1/6 [00:11<00:56, 11.27s/it]" + ] + } + ], + "source": [ + "MODEL_ID = BIOBLP_D\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE # is to be controlled when creating test sets\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "TEST_SET_SLUG = DUMMY\n", + "# eval_out_dir = Path(f\"./metrics/\")\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_bioblpd = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_SET_SLUG], \n", + " test_set_slug=TEST_SET_SLUG,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "2f91036c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.001386706952568299, 6)" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count_agg = 0\n", + "metric_agg = 0\n", + "num_deg_buckets = len(results_by_node_degree_dicts_bioblpd[EVAL_NODE_HEAD])\n", + "for deg, deg_results_dict in results_by_node_degree_dicts_bioblpd[EVAL_NODE_HEAD].items():\n", + " deg_bucket_count = deg_results_dict[COUNT]\n", + " metric_agg+=(deg_results_dict[MRR]*deg_bucket_count)\n", + " count_agg+=deg_bucket_count\n", + "micro_avg_lp_aggregated_from_degree_buckets = metric_agg/count_agg\n", + "micro_avg_lp_aggregated_from_degree_buckets, count_agg" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8b97e35c", + "metadata": {}, + "outputs": [], + "source": [ + "# sanity check that the mirco averaged eval scores, match what is obtained from thenode degree analysis\n", + "from nb_utils.eval_utils import evaluate_lp_all_rels_on_single_test_set, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", + "\n", + "model = load_kge_model(model_registry_paths[MODEL_ID])\n", + "TEST_SET_SLUG_= DUMMY # ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", + "test_triples_rel_restricted = triples_dict[TEST_SET_SLUG_].new_with_restriction(relations=ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][NODE_ENDPOINT_TO_PREDICT])\n", + "print(f\"Obtaining agg micro-averaged LP metrics using model {MODEL_ID} on test set corresponding to ALL triples restricted to {ENTITY_TYPE_W_ATTR_ENCODE}\")\n", + "\n", + "microvg_lp_func_kwargs = {\"model\": model, \n", + " \"eval_test_set_slug\": TEST_SET_SLUG_,\n", + " \"eval_triples\": test_triples_rel_restricted,\n", + " \"train_triples\": triples_dict.get(TRAIN),\n", + " \"valid_triples\": triples_dict.get(VALID)}\n", + "\n", + "microvg_lp_results = evaluate_lp_all_rels_on_single_test_set(eval_triple_node_endpoint=EVAL_NODE_HEAD, **microvg_lp_func_kwargs)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "8c279088", + "metadata": {}, + "outputs": [ { "data": { "text/plain": [ - "36" + "(0.0013867068725327651, 6)" ] }, - "execution_count": 112, + "execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#test run\n", - "print(ENTITY_TYPE_W_ATTR_ENCODE)\n", - "dummy_test_inc_attr, _ = create_entity_attr_aware_test_sets(entity_type_w_attribute=ENTITY_TYPE_W_ATTR_ENCODE,\n", - " graph_cfg=graph_cfg,\n", - " train=train,\n", - " test=dummy)\n", - "DUMMY_TEST_INCL_ATTR='DUMMY_TEST_INCL_ATTR'\n", - "triples_dict.update({DUMMY_TEST_INCL_ATTR: dummy_test_inc_attr})\n", - "dummy_test_inc_attr.num_triples\n" + "MRR = 'inverse_harmonic_mean_rank'\n", + "COUNT = 'Count'\n", + "microvg_lp_results[MRR], microvg_lp_results[COUNT]b" + ] + }, + { + "cell_type": "markdown", + "id": "fbece21f", + "metadata": {}, + "source": [ + "Which is equal to the number derived from the aggregates of the degree-bucket LP results (`micro_avg_lp_aggregated_from_degree_buckets`), checks out!" + ] + }, + { + "cell_type": "markdown", + "id": "4ea405fa", + "metadata": {}, + "source": [ + "## LP Eval within node degree buckets of triples related to entities we attribute encode" ] }, { "cell_type": "markdown", - "id": "f5f43f57", + "id": "29b20a25", "metadata": {}, "source": [ - "### evaluate on node degree buckets" + "#### predict on disease-containing relations using BioBLP-D and ROTATE\n", + "##### predict with BioBLP-D - disease" ] }, { "cell_type": "code", - "execution_count": 115, - "id": "95236a73", + "execution_count": 154, + "id": "3f7f82e2", "metadata": {}, "outputs": [ { @@ -964,15 +1061,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 2/2 [00:21<00:00, 10.98s/it]" + "100%|██████████| 6/6 [01:04<00:00, 10.78s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Writing results to metrics/bioblpd-38uz9fjs-16-03-2023/20230420-083808/node-degree-eval.json\n", - "Writing results to metrics/bioblpd-38uz9fjs-16-03-2023/20230420-083808/metadata.json\n" + "Writing results to metrics/bioblpd-38uz9fjs-16-03-2023/20230420-105057/node-degree-eval.json\n", + "Writing results to metrics/bioblpd-38uz9fjs-16-03-2023/20230420-105057/metadata.json\n" ] }, { @@ -987,7 +1084,7 @@ "MODEL_ID = BIOBLP_D\n", "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE # is to be controlled when creating test sets\n", "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE] # DUMMY_TEST_INCL_ATTR\n", + "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", "# eval_out_dir = Path(f\"./metrics/\")\n", "\n", "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", @@ -1006,136 +1103,53 @@ ] }, { - "cell_type": "code", - "execution_count": 127, - "id": "1b881a62", + "cell_type": "markdown", + "id": "e94df049", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.0022858049778733402" - ] - }, - "execution_count": 127, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "(0.0007401924231089652+0.003831417532637715)/2" + "##### predict with RotatE - disease" ] }, { "cell_type": "code", - "execution_count": 128, - "id": "33357d75", + "execution_count": null, + "id": "6435ed95", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Evaluating on cuda:0: 100%|██████████| 2.00/2.00 [00:00<00:00, 7.23triple/s]\n" - ] - } - ], + "outputs": [], "source": [ - "# sanity check that the mirco averaged eval scores, match what is obtained from thenode degree analysis\n", - "from nb_utils.eval_utils import evaluate_lp_all_rels_on_single_test_set, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", - "model = load_kge_model(model_registry_paths[MODEL_ID])\n", - "test_triples_rel_restricted = test_triples_incl_ent_prop.new_with_restriction(relations=ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][NODE_ENDPOINT_TO_PREDICT])\n", - "\n", - "microvg_lp_func_kwargs = {\"model\": model, \n", - " \"eval_test_set_slug\": TEST,\n", - " \"eval_triples\": test_triples_rel_restricted,\n", - " \"train_triples\": triples_dict.get(TRAIN),\n", - " \"valid_triples\": triples_dict.get(VALID)}\n", + "MODEL_ID = ROTATE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE # is to be controlled when creating test sets\n", + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", "\n", - "microvg_lp_results = evaluate_lp_all_rels_on_single_test_set(eval_triple_node_endpoint=EVAL_NODE_HEAD, **microvg_lp_func_kwargs)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "id": "f4265393", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Relation': 'All',\n", - " 'Count': 2,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.0022858050651848316}" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "microvg_lp_results" + "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", + "results_by_node_degree_dicts_rotate_disease = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=COL_SOURCE,\n", + " test_triples=triples_dict[TEST_SET_SLUG], \n", + " test_set_slug=TEST_SET_SLUG,\n", + " model_id=MODEL_ID,\n", + " train_triples=triples_dict.get(TRAIN),\n", + " valid_triples=triples_dict.get(VALID),\n", + " model_registry_cfg=model_reg_cfg,\n", + " eval_out_dir=\"./metrics\",\n", + " eval_metric_type=EVAL_METRIC_REALISTIC,\n", + " write_results_to_file=True\n", + " )" ] }, { - "cell_type": "code", - "execution_count": 117, - "id": "b26db895", + "cell_type": "markdown", + "id": "48e0c9d9", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{332.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.0007401924231089652},\n", - " 1387.0: {'Relation': 'All',\n", - " 'Count': 1,\n", - " 'hits_at_1': 0.0,\n", - " 'hits_at_3': 0.0,\n", - " 'hits_at_5': 0.0,\n", - " 'hits_at_10': 0.0,\n", - " 'inverse_harmonic_mean_rank': 0.003831417532637715}}" - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "results_by_node_degree_dicts_bioblpm['head']" + "#### predict on drug-containing relations using BioBLP-M and ROTATE\n", + "##### predict with BioBLP-M - drug" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "1b5ff778", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "02cbd0a6", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": 55, - "id": "de50259b", + "id": "7d813343", "metadata": {}, "outputs": [ { @@ -1182,26 +1196,18 @@ ")" ] }, - { - "cell_type": "code", - "execution_count": 56, - "id": "52e182d4", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", - "id": "d0edb9f3", + "id": "03c23e51", "metadata": {}, "source": [ - "#### predict with rotate - drug" + "##### predict with rotate - drug" ] }, { "cell_type": "code", "execution_count": 60, - "id": "c6005426", + "id": "b096a84d", "metadata": {}, "outputs": [ { @@ -1234,7 +1240,7 @@ "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", "\n", "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_dicts_bioblpm = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + "results_by_node_degree_dicts_rotate_drug = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", " node_endpoint_to_predict=COL_SOURCE,\n", " test_triples=triples_dict[TEST_SET_SLUG], \n", " test_set_slug=TEST_SET_SLUG,\n", @@ -1250,7 +1256,7 @@ }, { "cell_type": "markdown", - "id": "136e72de", + "id": "95e5a65a", "metadata": { "tags": [] }, @@ -1261,7 +1267,7 @@ { "cell_type": "code", "execution_count": null, - "id": "99b0ac9f", + "id": "d6f137c3", "metadata": {}, "outputs": [], "source": [ @@ -1271,7 +1277,7 @@ "TEST_SET_SLUG = ENT_SPECIFIC_TEST_SET_STUBS[ENTITY_TYPE_W_ATTR_ENCODE]\n", "\n", "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_dicts_bioblpm = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + "results_by_node_degree_dicts_bioblpp = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", " node_endpoint_to_predict=COL_SOURCE,\n", " test_triples=triples_dict[TEST_SET_SLUG], \n", " test_set_slug=TEST_SET_SLUG,\n", @@ -1288,7 +1294,7 @@ { "cell_type": "code", "execution_count": null, - "id": "40766511", + "id": "d4e7da14", "metadata": {}, "outputs": [ { @@ -1322,7 +1328,7 @@ "\n", "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", "nde = NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n", - "results_by_node_degree_dicts_bioblpm = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", + "results_by_node_degree_dicts_rotate_prot = nde.evaluate_and_format(entity_type_to_predict=ENTITY_TYPE_W_ATTR_ENCODE,\n", " node_endpoint_to_predict=COL_SOURCE,\n", " test_triples=test, \n", " test_set_slug=TEST_RESTRICTED_ENT,\n", @@ -1338,16 +1344,44 @@ }, { "cell_type": "markdown", - "id": "56e9f2c8", + "id": "5cd459e1", + "metadata": {}, + "source": [ + "### Plots V2 - Plotting the difference in LP scores by RotatE and BioBLP-X\n", + "(improved 17/03)" + ] + }, + { + "cell_type": "markdown", + "id": "303557af", "metadata": {}, "source": [ - "### Plots V2 - (improved 17/03) - Plotting the difference in LP scores by RotatE and BioBLP-X" + "### define plotting logic" ] }, { "cell_type": "code", - "execution_count": 72, - "id": "7c57ae3b", + "execution_count": 73, + "id": "50c0d4a4", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.eval_utils import EVAL_METRICS_CATALOG\n", + "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", + "from nb_utils.eval_utils import HITS_AT_1, HITS_AT_3, HITS_AT_10\n", + "\n", + "import matplotlib.ticker as ticker\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 241, + "id": "59f6999a", "metadata": {}, "outputs": [], "source": [ @@ -1356,52 +1390,174 @@ "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", " results_by_node_degree_dicts_rotate_drug = json.load(f)\n", "\n", - " \n", "MODEL_ID = BIOBLP_M\n", "eval_out_dir = Path(f\"./metrics/{MODEL_ID}/20230417-074027\")\n", - "#eval_out_dir = Path(f\"/metrics/{MODEL_ID}\")\n", "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", " results_by_node_degree_dicts_bioblpm = json.load(f)\n" ] }, { "cell_type": "code", - "execution_count": 73, - "id": "4bb3d0c0", - "metadata": {}, + "execution_count": 221, + "id": "78ba3f42", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, "outputs": [], "source": [ - "rotate_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_rotate_drug, orient='index')\n", - "rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'})\n", - "rotate_df = rotate_df.astype({'degree':'float'})\n", "\n", - "bioblpm_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_bioblpm, orient='index')\n", - "bioblpm_df = bioblpm_df.reset_index().rename(columns={'index':'degree'})\n", - "bioblpm_df = bioblpm_df.astype({'degree':'float'})\n" + "def _merge_results_df_multi_models(rotate_df, bioblp_df, \n", + " test_triples_subset=None, \n", + " node_endpoint_type=None):\n", + " merged_df = rotate_df.merge(bioblp_df, how='inner', on='degree', suffixes=['_rotate', '_bioblp'])\n", + " merged_df.drop(columns=['Relation_bioblp', 'Relation_rotate', 'Count_bioblp'], inplace=True)\n", + " merged_df = merged_df.astype({'degree':'float'})\n", + " merged_df = merged_df.rename(columns={\"Count_rotate\":\"count\"})\n", + " \n", + " merged_df['num_unique_ents'] = merged_df['degree'].apply(\n", + " lambda x: len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_subset, \n", + " degree=x, \n", + " node_endpoint_type=node_endpoint_type)))\n", + " return merged_df\n", + "\n", + "\n", + "def prep_data_for_node_degree_lp_multi_model_diff_plot(bioblp_model_id, bioblp_eval_results,\n", + " rotate_model_id, rotate_eval_results,\n", + " node_endpoint_type=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=None\n", + " ):\n", + " rotate_df = pd.DataFrame.from_dict(rotate_eval_results[eval_on_node_endpoint], orient='index')\n", + " #rotate_df = pd.DataFrame.from_dict(rotate_eval_results, orient='index')\n", + " rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'})\n", + " rotate_df = rotate_df.astype({'degree':'float'})\n", + "\n", + " bioblp_df = pd.DataFrame.from_dict(bioblp_eval_results[eval_on_node_endpoint], orient='index')\n", + " #bioblp_df = pd.DataFrame.from_dict(bioblp_eval_results, orient='index')\n", + " bioblp_df = bioblp_df.reset_index().rename(columns={'index':'degree'})\n", + " bioblp_df = bioblp_df.astype({'degree':'float'})\n", + "\n", + " merged_df = _merge_results_df_multi_models(rotate_df=rotate_df, \n", + " bioblp_df=bioblp_df, \n", + " test_triples_subset=test_triples,\n", + " node_endpoint_type=node_endpoint_type)\n", + "\n", + " for metric in EVAL_METRICS_SHORTLIST:\n", + " merged_df[metric] = merged_df[f'{metric}_rotate'] - merged_df[f'{metric}_bioblp'] \n", + " return merged_df\n", + "\n", + "def plot_node_degree_analysis_multimodel_lp_eval_diff(merged_results_df,\n", + " entity_type_w_attr_encoded,\n", + " bioblp_model_id, \n", + " rotate_model_id,\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE, \n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK):\n", + " \n", + " degrees, metrics, counts, num_unique_ents = merged_results_df['degree'], merged_results_df[metric_name], merged_results_df['count'], merged_results_df['num_unique_ents']\n", + " plot, ax = plt.subplots(figsize=(10,10))\n", + " sns.color_palette(\"flare\", as_cmap=True)\n", + " s_square = [n*n for n in num_unique_ents] \n", + " plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", + " plt.xscale('log')\n", + " plt.ylabel(metric_name)\n", + " plt.xlabel(f'Training degree for {entity_type_w_attr_encoded} entity being predicted')\n", + " plt.xticks(degrees, rotation='vertical')\n", + "\n", + " plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", + "\n", + " plt.title(f'(avg_{metric_name}_{rotate_model_id}) - (avg_{metric_name}_{bioblp_model_id}) \\n Difference b/w both models in {metric_name} when'\\\n", + " 'predicting {entity_type_w_attr_encoded} as {eval_on_node_type} node, Vs. {entity_type_w_attr_encoded} node degree')\n", + " plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{bioblp_model_id}-{rotate_model_id}')\n", + " \n", + "def merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_M,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpm,\n", + " rotate_model_id=ROTATE,\n", + " rotate_eval_results=results_by_node_degree_dicts_rotate_drug,\n", + " node_endpoint_type_for_entity_w_attribute = NODE_ENDPOINT_TO_PREDICT,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK\n", + " ): \n", + " merged_results_df = prep_data_for_node_degree_lp_multi_model_diff_plot(bioblp_model_id=bioblp_model_id,\n", + " bioblp_eval_results=bioblp_eval_results,\n", + " rotate_model_id=rotate_model_id,\n", + " rotate_eval_results=rotate_eval_results,\n", + " node_endpoint_type=node_endpoint_type_for_entity_w_attribute,\n", + " eval_on_node_endpoint=eval_on_node_endpoint,\n", + " test_triples=test_triples\n", + " ) \n", + " \n", + " plot_node_degree_analysis_multimodel_lp_eval_diff(merged_results_df=merged_results_df,\n", + " entity_type_w_attr_encoded=entity_type_w_attr_encoded,\n", + " bioblp_model_id=bioblp_model_id, \n", + " rotate_model_id=rotate_model_id,\n", + " eval_on_node_endpoint=eval_on_node_endpoint,\n", + " node_endpoint_type_for_entity_w_attribute=node_endpoint_type_for_entity_w_attribute, \n", + " metric_name=metric_name)\n", + " \n", + " return merged_results_df\n" ] }, { "cell_type": "code", - "execution_count": 78, - "id": "303b287b", + "execution_count": 185, + "id": "03ed8da3", "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
\n", - "\n", "\n", " \n", @@ -1420,6 +1576,11 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1437,7 +1598,12 @@ " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1453,7 +1619,12 @@ " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1469,7 +1640,12 @@ " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
hits_at_10_bioblpinverse_harmonic_mean_rank_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
0.0875000.1375000.0654207940.0375000.0875000.1000000.2375000.082200
10.1481480.1851850.111043277-0.037037-0.0740740.0000000.111111-0.026483
20.0326090.0434780.0252859210.0978260.2500000.3152170.4565220.194621
\n", @@ -1491,118 +1667,52 @@ "1 0.148148 0.148148 0.185185 \n", "2 0.021739 0.032609 0.043478 \n", "\n", - " inverse_harmonic_mean_rank_bioblp num_unique_ents \n", - "0 0.065420 79 \n", - "1 0.111043 27 \n", - "2 0.025285 92 " + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.065420 4 0.037500 0.087500 \n", + "1 0.111043 7 -0.037037 -0.074074 \n", + "2 0.025285 1 0.097826 0.250000 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.100000 0.237500 0.082200 \n", + "1 0.000000 0.111111 -0.026483 \n", + "2 0.315217 0.456522 0.194621 " ] }, - "execution_count": 78, + "execution_count": 236, "metadata": {}, "output_type": "execute_result" - } - ], - "source": [ - "def compare_and_plot(rotate_df, bioblp_df, \n", - " test_triples_subset=tes, \n", - " node_endpoint_type=NODE_ENDPOINT_TO_PREDICT):\n", - " merged_df = rotate_df.merge(bioblp_df, how='inner', on='degree', suffixes=['_rotate', '_bioblp'])\n", - " merged_df.drop(columns=['Relation_bioblp', 'Relation_rotate', 'Count_bioblp'], inplace=True)\n", - " merged_df = merged_df.astype({'degree':'float'})\n", - " merged_df = merged_df.rename(columns={\"Count_rotate\":\"count\"})\n", - " \n", - " merged_df['num_unique_ents'] = merged_df['degree'].apply(\n", - " lambda x: len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_subset, \n", - " degree=x, \n", - " node_endpoint_type=node_endpoint_type)))\n", - " return merged_df\n", - "merged_df_bioblpm_rotate = compare_and_plot(rotate_df, bioblpm_df)\n", - "merged_df_bioblpm_rotate[:3]" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "id": "6bda8647", - "metadata": {}, - "outputs": [], - "source": [ - "from nb_utils.eval_utils import EVAL_METRICS_SHORTLIST\n", - "for metric in EVAL_METRICS_SHORTLIST:\n", - " merged_df_bioblpm_rotate[metric] = merged_df_bioblpm_rotate[f'{metric}_rotate'] - merged_df_bioblpm_rotate[f'{metric}_bioblp']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d86cc1bb", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "c20bf7f3", - "metadata": {}, - "outputs": [], - "source": [ - "rotate_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_rotate, orient='index')\n", - "rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'})\n", - "rotate_df = rotate_df.astype({'degree':'float'})\n", - "\n", - "bioblpp_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_bioblpp, orient='index')\n", - "bioblpp_df = bioblpp_df.reset_index().rename(columns={'index':'degree'})\n", - "bioblpp_df = bioblpp_df.astype({'degree':'float'})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "9c7a6b0e", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - } - }, - "outputs": [ + }, { "data": { + "image/png": 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", "text/plain": [ - "count 1170.000000\n", - "mean 0.192058\n", - "std 0.172886\n", - "min 0.000000\n", - "25% 0.056881\n", - "50% 0.141284\n", - "75% 0.278899\n", - "max 1.000000\n", - "Name: proportion, dtype: float64" + "
" ] }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "merged_df = merged_df_bioblpm_rotate\n", - "min_c, max_c, mean_c, std_c = merged_df['count'].min(), merged_df['count'].max(), merged_df['count'].mean(), merged_df['count'].std()\n", - "merged_df['proportion'] = (merged_df['count']-min_c)/(max_c-min_c)\n", - "merged_df.proportion.describe()" + "merged_bioblpm_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_M,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpm,\n", + " rotate_model_id=ROTATE,\n", + " rotate_eval_results=results_by_node_degree_dicts_rotate_drug,\n", + " node_endpoint_type_for_entity_w_attribute=NODE_ENDPOINT_TO_PREDICT,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK) \n", + "merged_bioblpm_rotate_df[:3]" ] }, { "cell_type": "code", - "execution_count": 81, - "id": "cbc16398", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - } - }, + "execution_count": 188, + "id": "5f2fc497", + "metadata": {}, "outputs": [ { "data": { @@ -1643,7 +1753,6 @@ " hits_at_5\n", " hits_at_10\n", " inverse_harmonic_mean_rank\n", - " proportion\n", " \n", " \n", " \n", @@ -1661,13 +1770,12 @@ " 0.020067\n", " 0.0301\n", " 0.018144\n", - " 194\n", + " 295\n", " 0.765886\n", " 0.87291\n", " 0.913043\n", " 0.909699\n", " 0.821555\n", - " 0.546789\n", " \n", " \n", "\n", @@ -1684,92 +1792,63 @@ "840 0.020067 0.020067 0.0301 \n", "\n", " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", - "840 0.018144 194 0.765886 0.87291 \n", + "840 0.018144 295 0.765886 0.87291 \n", "\n", - " hits_at_5 hits_at_10 inverse_harmonic_mean_rank proportion \n", - "840 0.913043 0.909699 0.821555 0.546789 " + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "840 0.913043 0.909699 0.821555 " ] }, - "execution_count": 81, + "execution_count": 188, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "merged_df[merged_df['degree']==1.0]" + "merged_bioblp_rotate_df[merged_bioblp_rotate_df['degree']==1.0]" ] }, { "cell_type": "code", - "execution_count": 61, - "id": "6c54eb4c", + "execution_count": 208, + "id": "5e29d7d6", "metadata": {}, "outputs": [], "source": [ - "from nb_utils.eval_utils import EVAL_METRICS_SHORTLIST\n", - "for metric in EVAL_METRICS_SHORTLIST:\n", - " merged_df[metric] = merged_df[f'{metric}_rotate'] - merged_df[f'{metric}_bioblpp']" - ] - }, - { - "cell_type": "markdown", - "id": "d0502cb5", - "metadata": {}, - "source": [ - "### define plotting logic" + "### plot metrics" ] }, { "cell_type": "code", - "execution_count": 73, - "id": "c5e0be99", - "metadata": { - "tags": [] - }, + "execution_count": 94, + "id": "80d4c226", + "metadata": {}, "outputs": [], "source": [ + "import matplotlib.pyplot as plt\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", - "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n" + "\n", + "img_outdir = Path('./data/imgs/')\n" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "36a8b80a", + "cell_type": "markdown", + "id": "d65441ea", "metadata": {}, - "outputs": [], "source": [ - "import matplotlib.ticker as ticker\n", - "metric_name=IN_DEGREEnverse_harmonic_mean_rank'\n", - "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", - "plot, ax = plt.subplots(figsize=(10,10))\n", - "sns.color_palette(\"flare\", as_cmap=True)\n", - "#s_square = [n*n for n in props] \n", - "s_square = [n*n for n in num_unique_ents] \n", - "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", - "plt.xscale('log')\n", - "#ax.legend(title='# unique entities')\n", - "plt.ylabel(metric_name)\n", - "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTR_ENCODE} entity being predicted')\n", - "plt.xticks(degrees, rotation='vertical')\n", - "\n", - "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", - "\n", - "plt.title(f'(avg_{metric_name}_rotate) - (avg_{metric_name}_{BIOBLP_M}) \\n Difference b/w both models in {metric_name} when predicting {ENTITY_TYPE_W_ATTR_ENCODE} as {NODE_ENDPOINT_TO_PREDICT} node, Vs. {ENTITY_TYPE_W_ATTR_ENCODE} node degree')\n", - "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{BIOBLP_M}-{ROTATE}')" + "note,not all the cells have been amended after changing the structure of the eval results dictionary to store 'head', 'tail', 'both', results,\n", + "so if you face an error whilst plotting, try accessing the dictionaries at the 'head', 'tail', or 'both' keys of the results_dictionaries directly. E.g. results_by_node_degree_dicts_rotate_drug['head'] insetead of 'tail'\n" ] }, { "cell_type": "code", - "execution_count": 86, - "id": "4378a4ca", - "metadata": { - "tags": [] - }, + "execution_count": 237, + "id": "ca2920ee", + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1781,47 +1860,22 @@ } ], "source": [ - "import matplotlib.ticker as ticker\n", - "metric_name='inverse_harmonic_mean_rank'\n", - "#metric_name='hits_at_10'\n", - "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", - "plot, ax = plt.subplots(figsize=(10,10))\n", - "sns.color_palette(\"flare\", as_cmap=True)\n", - "#s_square = [n*n for n in props] \n", - "s_square = [n*n for n in num_unique_ents] \n", - "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", - "plt.xscale('log')\n", - "#ax.legend(title='# unique entities')\n", - "plt.ylabel(metric_name)\n", - "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTR_ENCODE} entity being predicted')\n", - "plt.xticks(degrees, rotation='vertical')\n", - "\n", - "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", - "\n", - "plt.title(f'(avg_{metric_name}_rotate) - (avg_{metric_name}_{BIOBLP_M}) \\n Difference b/w both models in {metric_name} when predicting {ENTITY_TYPE_W_ATTR_ENCODE} as {NODE_ENDPOINT_TO_PREDICT} node, Vs. {ENTITY_TYPE_W_ATTR_ENCODE} node degree')\n", - "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{BIOBLP_M}-{ROTATE}')" + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_1, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" ] }, { "cell_type": "code", - "execution_count": 98, - "id": "fa61a6fa", + "execution_count": 238, + "id": "d0bbf7b8", "metadata": {}, "outputs": [ - { - "ename": "NameError", - "evalue": "name 'cmap' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[98], line 18\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\u001b[39;00m\n\u001b[1;32m 16\u001b[0m norm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mNormalize(num_unique_ents\u001b[38;5;241m.\u001b[39mmin(), num_unique_ents\u001b[38;5;241m.\u001b[39mmax())\n\u001b[1;32m 17\u001b[0m cbar \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mcolorbar(plt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mScalarMappable(norm\u001b[38;5;241m=\u001b[39mnorm,\n\u001b[0;32m---> 18\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[43mcmap\u001b[49m),\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m#ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\u001b[39;00m\n\u001b[1;32m 20\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m# test_triples per unique disease\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 22\u001b[0m plot_\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mset_major_locator(ticker\u001b[38;5;241m.\u001b[39mIndexLocator(\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m0\u001b[39m))\n\u001b[1;32m 24\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mavg_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_rotate - avg_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bioblpm \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m Difference in \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m (averaged over test triples with \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mENTITY_TYPE_W_ATTR_ENCODE\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m node of certain node (training) degree) b/w both models, Vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mENTITY_TYPE_W_ATTR_ENCODE\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m node degree\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[0;31mNameError\u001b[0m: name 'cmap' is not defined" - ] - }, { "data": { - "image/png": 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", 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", 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" ] @@ -1833,56 +1887,22 @@ } ], "source": [ - "import matplotlib.ticker as ticker\n", - "metric_name='inverse_harmonic_mean_rank'\n", - "#metric_name='hits_at_10'\n", - "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['count']/merged_df['num_unique_ents']\n", - "plot, ax = plt.subplots(figsize=(10,10))\n", - "sns.color_palette(\"flare\", as_cmap=True)\n", - "s_linear = [n*n for n in props] \n", - "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=s_linear, sizes=(10,200), c=num_unique_ents, cmap='flare')\n", - "plt.xscale('log')\n", - "ax.legend(title='#(test triples)', labels = ['6', '45', '85', '124', '164', '204'])\n", - "plt.ylabel(metric_name)\n", - "plt.xlabel('Training degree for Disease entity being predicted')\n", - "plt.xticks(degrees, rotation='vertical')\n", - "#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\n", - "\n", - "norm = plt.Normalize(num_unique_ents.min(), num_unique_ents.max())\n", - "cbar = ax.figure.colorbar(plt.cm.ScalarMappable(norm=norm,\n", - " cmap=cmap),\n", - " #ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\n", - " label=f'# test_triples per unique {ENTITY_TYPE_W_ATTR_ENCODE}')\n", - "\n", - "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", - "\n", - "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpm \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTR_ENCODE} node of certain node (training) degree) b/w both models, Vs. {ENTITY_TYPE_W_ATTR_ENCODE} node degree')\n", - "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "id": "08fb6776", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", - "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", - "\n", - "img_outdir = Path('./data/imgs/')\n" + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_10, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" ] }, { "cell_type": "code", - "execution_count": 95, - "id": "55875c83", + "execution_count": 239, + "id": "a43e8365", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1895,64 +1915,33 @@ ], "source": [ "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", - "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug,\n", - " BIOBLP_M: results_by_node_degree_dicts_bioblpm}#results_by_node_degree_dicts_bioblp}\n", - "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_1', results_by_node_degree_dicts_combined=model_result_dicts,\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=INVERSE_HARMONIC_MEAN_RANK, results_by_node_degree_dicts_combined=model_result_dicts,\n", " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" ] }, { "cell_type": "code", - "execution_count": 96, - "id": "3eda3d28", + "execution_count": null, + "id": "367f284f", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', results_by_node_degree_dicts_combined=model_result_dicts,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" - ] + "outputs": [], + "source": [] }, { - "cell_type": "code", - "execution_count": 97, - "id": "2e0ac6b4", + "cell_type": "markdown", + "id": "1b9a0517", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], "source": [ - "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='inverse_harmonic_mean_rank', results_by_node_degree_dicts_combined=model_result_dicts,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + "\n", + "#### previous stuff" ] }, { "cell_type": "code", "execution_count": 98, - "id": "2286414a", + "id": "9d579216", "metadata": {}, "outputs": [ { @@ -1973,7 +1962,7 @@ { "cell_type": "code", "execution_count": 99, - "id": "f95ef00f", + "id": "f5062c67", "metadata": {}, "outputs": [ { @@ -2049,7 +2038,7 @@ }, { "cell_type": "markdown", - "id": "ab3eba70", + "id": "2fef1fd5", "metadata": {}, "source": [ "Save custom plots to Weights and biases" @@ -2058,7 +2047,7 @@ { "cell_type": "code", "execution_count": 117, - "id": "85728dc1", + "id": "72fbe30a", "metadata": {}, "outputs": [ { @@ -2084,7 +2073,7 @@ { "cell_type": "code", "execution_count": 120, - "id": "a78d8009", + "id": "1549e402", "metadata": {}, "outputs": [], "source": [ @@ -2100,7 +2089,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b85a5856", + "id": "77291240", "metadata": {}, "outputs": [], "source": [ @@ -2111,7 +2100,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "6c72f30e", + "id": "835ac78c", "metadata": {}, "outputs": [], "source": [ @@ -2125,14 +2114,14 @@ { "cell_type": "code", "execution_count": null, - "id": "98c9e053", + "id": "04cdd71f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "4dab7466", + "id": "6053a463", "metadata": {}, "source": [ "### Protein stuff" @@ -2141,7 +2130,7 @@ { "cell_type": "code", "execution_count": 58, - "id": "fb10ad1b", + "id": "a6e66e7a", "metadata": { "tags": [] }, @@ -2181,68 +2170,10 @@ "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" ] }, - { - "cell_type": "code", - "execution_count": 87, - "id": "e6f55e8a", - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'cmap' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [87]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\u001b[39;00m\n\u001b[1;32m 16\u001b[0m norm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mNormalize(num_unique_ents\u001b[38;5;241m.\u001b[39mmin(), num_unique_ents\u001b[38;5;241m.\u001b[39mmax())\n\u001b[1;32m 17\u001b[0m cbar \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mcolorbar(plt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mScalarMappable(norm\u001b[38;5;241m=\u001b[39mnorm,\n\u001b[0;32m---> 18\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[43mcmap\u001b[49m),\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m#ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\u001b[39;00m\n\u001b[1;32m 20\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m# test_triples per unique disease\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 21\u001b[0m d\n\u001b[1;32m 22\u001b[0m plot_\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mset_major_locator(ticker\u001b[38;5;241m.\u001b[39mIndexLocator(\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m0\u001b[39m))\n", - "\u001b[0;31mNameError\u001b[0m: name 'cmap' is not defined" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.ticker as ticker\n", - "metric_name='inverse_harmonic_mean_rank'\n", - "#metric_name='hits_at_10'\n", - "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['count']/merged_df['num_unique_ents']\n", - "plot, ax = plt.subplots(figsize=(10,10))\n", - "sns.color_palette(\"flare\", as_cmap=True)\n", - "s_linear = [n*n for n in props] \n", - "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=s_linear, sizes=(10,200), c=num_unique_ents, cmap='flare')\n", - "plt.xscale('log')\n", - "ax.legend(title='#(test triples)', labels = ['6', '45', '85', '124', '164', '204'])\n", - "plt.ylabel(metric_name)\n", - "plt.xlabel('Training degree for Disease entity being predicted')\n", - "plt.xticks(degrees, rotation='vertical')\n", - "#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\n", - "\n", - "norm = plt.Normalize(num_unique_ents.min(), num_unique_ents.max())\n", - "cbar = ax.figure.colorbar(plt.cm.ScalarMappable(norm=norm,\n", - " cmap=cmap),\n", - " #ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\n", - " label=r'# test_triples per unique disease')\n", - "\n", - "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", - "\n", - "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpp \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTRIBUTE} node of certain node (training) degree) b/w both models, Vs. disease node degree')\n", - "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" - ] - }, { "cell_type": "code", "execution_count": 187, - "id": "cf262552", + "id": "b4dc468a", "metadata": { "collapsed": true, "jupyter": { @@ -2298,14 +2229,14 @@ { "cell_type": "code", "execution_count": null, - "id": "a3197bb2", + "id": "16fa5b55", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "07cd20e3", + "id": "08d71987", "metadata": {}, "source": [ "### Plots V1 - Separate series plotted for BioBLP-D and RotatE" @@ -2313,7 +2244,7 @@ }, { "cell_type": "markdown", - "id": "1a4d730c", + "id": "a20c6093", "metadata": {}, "source": [ "load from file" @@ -2322,7 +2253,7 @@ { "cell_type": "code", "execution_count": 68, - "id": "cecb2fff", + "id": "fd3b31a7", "metadata": {}, "outputs": [], "source": [ @@ -2339,7 +2270,7 @@ { "cell_type": "code", "execution_count": 69, - "id": "4e4b1aa2", + "id": "2c17464f", "metadata": {}, "outputs": [ { @@ -2366,7 +2297,7 @@ { "cell_type": "code", "execution_count": 91, - "id": "c1f0fdfa", + "id": "9cd322a6", "metadata": {}, "outputs": [ { @@ -2393,7 +2324,7 @@ { "cell_type": "code", "execution_count": 48, - "id": "10b10cc8", + "id": "b467daf7", "metadata": {}, "outputs": [ { @@ -2456,7 +2387,7 @@ { "cell_type": "code", "execution_count": 49, - "id": "68cb1926", + "id": "a79e5790", "metadata": {}, "outputs": [], "source": [ @@ -2469,7 +2400,7 @@ }, { "cell_type": "markdown", - "id": "88f8d9df", + "id": "73f1a439", "metadata": { "tags": [] }, @@ -2479,7 +2410,7 @@ }, { "cell_type": "markdown", - "id": "8e3fd660", + "id": "0ae3bebb", "metadata": {}, "source": [ "All plots below look quite similar!" @@ -2487,7 +2418,7 @@ }, { "cell_type": "markdown", - "id": "f742154a", + "id": "23be7d67", "metadata": {}, "source": [ "load from file" @@ -2496,7 +2427,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "2e192972", + "id": "87c11a17", "metadata": { "tags": [] }, @@ -2513,7 +2444,7 @@ { "cell_type": "code", "execution_count": 92, - "id": "da24f4eb", + "id": "12b96964", "metadata": {}, "outputs": [ { @@ -2536,7 +2467,7 @@ { "cell_type": "code", "execution_count": 86, - "id": "6925c1a1", + "id": "9f4e2390", "metadata": {}, "outputs": [], "source": [ @@ -2546,7 +2477,7 @@ { "cell_type": "code", "execution_count": 92, - "id": "998549ce", + "id": "eeaf4ba7", "metadata": {}, "outputs": [ { @@ -2576,7 +2507,7 @@ { "cell_type": "code", "execution_count": 93, - "id": "7b82c1a3", + "id": "45fe391a", "metadata": {}, "outputs": [ { @@ -2607,7 +2538,7 @@ { "cell_type": "code", "execution_count": 90, - "id": "a3d84154", + "id": "aa987c75", "metadata": {}, "outputs": [ { @@ -2637,7 +2568,7 @@ }, { "cell_type": "markdown", - "id": "f46f4d40", + "id": "589e23ed", "metadata": { "tags": [] }, @@ -2648,7 +2579,7 @@ { "cell_type": "code", "execution_count": 53, - "id": "be15f70f", + "id": "d2f42849", "metadata": {}, "outputs": [], "source": [ @@ -2659,7 +2590,7 @@ { "cell_type": "code", "execution_count": 114, - "id": "dfb307e5", + "id": "1752f2d5", "metadata": {}, "outputs": [ { @@ -2685,7 +2616,7 @@ { "cell_type": "code", "execution_count": 113, - "id": "50ec0365", + "id": "2e963563", "metadata": {}, "outputs": [ { @@ -2709,7 +2640,7 @@ { "cell_type": "code", "execution_count": 112, - "id": "fda60380", + "id": "e550c92b", "metadata": {}, "outputs": [ { @@ -2733,7 +2664,7 @@ { "cell_type": "code", "execution_count": 98, - "id": "f6a6de2a", + "id": "870f21b6", "metadata": {}, "outputs": [ { @@ -2754,7 +2685,7 @@ { "cell_type": "code", "execution_count": 99, - "id": "a9d33b51", + "id": "4df56118", "metadata": {}, "outputs": [ { @@ -2830,7 +2761,7 @@ }, { "cell_type": "markdown", - "id": "ba0f8bb0", + "id": "9004a15c", "metadata": {}, "source": [ "Save custom plots to Weights and biases" @@ -2839,7 +2770,7 @@ { "cell_type": "code", "execution_count": 117, - "id": "55dd429d", + "id": "2ace10a2", "metadata": {}, "outputs": [ { @@ -2865,7 +2796,7 @@ { "cell_type": "code", "execution_count": 120, - "id": "0c4fdf93", + "id": "0e1a5fc4", "metadata": {}, "outputs": [], "source": [ @@ -2881,7 +2812,7 @@ { "cell_type": "code", "execution_count": null, - "id": "20d6347b", + "id": "1364d8aa", "metadata": {}, "outputs": [], "source": [ @@ -2892,7 +2823,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "5ddb237a", + "id": "ee52c406", "metadata": {}, "outputs": [], "source": [ @@ -2905,7 +2836,7 @@ }, { "cell_type": "markdown", - "id": "2f6c0b81", + "id": "e8fb6c28", "metadata": {}, "source": [ "## " @@ -2914,7 +2845,7 @@ { "cell_type": "code", "execution_count": 188, - "id": "e26fb63e", + "id": "475019f2", "metadata": {}, "outputs": [], "source": [ @@ -2927,7 +2858,7 @@ { "cell_type": "code", "execution_count": 206, - "id": "7d24cb1b", + "id": "b55640f2", "metadata": {}, "outputs": [], "source": [ @@ -2941,7 +2872,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ce774b92", + "id": "fa6b857a", "metadata": {}, "outputs": [], "source": [] @@ -2949,7 +2880,7 @@ { "cell_type": "code", "execution_count": null, - "id": "06816e0a", + "id": "74d3f4a7", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/nb_utils/eval_utils.py b/notebooks/nb_utils/eval_utils.py index 52013f9..761bf1e 100644 --- a/notebooks/nb_utils/eval_utils.py +++ b/notebooks/nb_utils/eval_utils.py @@ -120,7 +120,6 @@ } - def test_rel_list_validity(rel_list, train_triples): ''' e.g.: test_rel_list_validity(ENT_ASSOC_REL_NAMES[PROTEIN][COL_TARGET], train_triples) @@ -145,7 +144,6 @@ def test_rel_list_validity(rel_list, train_triples): EVAL_METRIC_RANKING_TYPES = {ranking_type: ranking_type for ranking_type in [EVAL_METRIC_OPTIMISTIC,EVAL_METRIC_PESSIMISTIC, EVAL_METRIC_REALISTIC] } - HITS_AT_1 = "hits_at_1" HITS_AT_3 = "hits_at_3" HITS_AT_5 = "hits_at_5" From 6cf2d44319085319e097b98328b09e35aef83de0 Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Thu, 20 Apr 2023 17:28:29 +0000 Subject: [PATCH 05/10] update model paths --- .../07_04_01_eval_lp_node_degree_effect.ipynb | 453 +++++++++--------- notebooks/nb_utils/artifact_registry.toml | 9 +- 2 files changed, 231 insertions(+), 231 deletions(-) diff --git a/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb index 5ed8f17..ac92959 100644 --- a/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb +++ b/notebooks/07_04_01_eval_lp_node_degree_effect.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "0238129e", + "id": "35712902", "metadata": {}, "outputs": [], "source": [ @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "1e3bcbb5", + "id": "7b8a3008", "metadata": {}, "source": [ "### Imports" @@ -22,7 +22,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "abcda36f", + "id": "4a3c56d2", "metadata": {}, "outputs": [ { @@ -55,22 +55,10 @@ }, { "cell_type": "code", - "execution_count": 138, - "id": "2c6008a0", + "execution_count": 3, + "id": "2f5feb46", "metadata": {}, - "outputs": [ - { - "ename": "ImportError", - "evalue": "cannot import name 'TEST_RESTRICTED_PROT' from 'nb_utils.eval_utils' (/home/jovyan/BioBLP/notebooks/nb_utils/eval_utils.py)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[138], line 19\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m TEST, TRAIN, VALID, DUMMY\n\u001b[0;32m---> 19\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m TEST_RESTRICTED_PROT, TEST_RESTRICTED_DIS, TEST_RESTRICTED_DRUG\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnb_utils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_utils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ENT_SPECIFIC_TEST_SET_STUBS\n", - "\u001b[0;31mImportError\u001b[0m: cannot import name 'TEST_RESTRICTED_PROT' from 'nb_utils.eval_utils' (/home/jovyan/BioBLP/notebooks/nb_utils/eval_utils.py)" - ] - } - ], + "outputs": [], "source": [ "from nb_utils.eval_utils import TEST, VALID, TRAIN, DUMMY\n", "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, EVAL_METRICS_SHORTLIST\n", @@ -90,13 +78,13 @@ "from nb_utils.eval_utils import ENT_ASSOC_REL_NAMES, EVAL_METRIC_REALISTIC, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", "from nb_utils.eval_utils import PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n", "from nb_utils.eval_utils import TEST, TRAIN, VALID, DUMMY\n", - "from nb_utils.eval_utils import TEST_RESTRICTED_PROT, TEST_RESTRICTED_DIS, TEST_RESTRICTED_DRUG\n", + "from nb_utils.eval_utils import TEST_RESTRICTED_PROTEIN, TEST_RESTRICTED_DISEASE, TEST_RESTRICTED_DRUG\n", "from nb_utils.eval_utils import ENT_SPECIFIC_TEST_SET_STUBS" ] }, { "cell_type": "markdown", - "id": "37d51fca", + "id": "15c9db17", "metadata": {}, "source": [ "### load data" @@ -104,31 +92,32 @@ }, { "cell_type": "markdown", - "id": "832e30ee", + "id": "9b78b73e", "metadata": {}, "source": [ - "1. add the paths to the following models and biokg files in ./nb_utils/artifact_registry.toml\n", - "2. " + "1. add the paths to the following models and biokg files in ./nb_utils/artifact_registry.toml\n" ] }, { "cell_type": "code", - "execution_count": 93, - "id": "da4dfdde", + "execution_count": 4, + "id": "3897935b", "metadata": {}, "outputs": [], "source": [ "ROTATE = \"rotate-otxtubeb\"\n", "BIOBLP_D = \"bioblpd-38uz9fjs-16-03-2023\" \n", - "BIOBLP_D_old = \"bioblpd-38uz9fjs\" \n", - "BIOBLP_P = \"bioblpp-cttc3ucm\"\n", - "BIOBLP_M = \"bioblpm-5rxz3k57\"" + "BIOBLP_P = \"rotate-bioblp-p-4o6x9h96\"\n", + "BIOBLP_M = \"rotate-bioblp-m-1r75g9na\"\n", + "#BIOBLP_P = \"bioblpp-cttc3ucm\" # this was not pretrained\n", + "#BIOBLP_M = \"bioblpm-5rxz3k57\" # this was not pretrained\n", + "#BIOBLP_D_old = \"bioblpd-38uz9fjs\" \n" ] }, { "cell_type": "code", - "execution_count": 94, - "id": "8a119a23", + "execution_count": 5, + "id": "f49e2cb5", "metadata": {}, "outputs": [], "source": [ @@ -140,8 +129,8 @@ }, { "cell_type": "code", - "execution_count": 95, - "id": "38307f47", + "execution_count": 6, + "id": "a28d534c", "metadata": {}, "outputs": [ { @@ -150,7 +139,7 @@ "GraphRegistryConfig(biokgb_data_splits={'train': PosixPath('../data/biokgb/graph/biokg.links-train.csv'), 'valid': PosixPath('../data/biokgb/graph/biokg.links-valid.csv'), 'test': PosixPath('../data/biokgb/graph/biokg.links-test.csv'), 'dummy': PosixPath('../data/biokgb/graph/biokg.links-dummy.csv')}, biokgb_entity_type_metadata_paths={'disease': PosixPath('../data/biokgb/properties/biokg.metadata.disease.tsv'), 'protein': PosixPath('../data/biokgb/properties/biokg.metadata.protein.tsv'), 'drug': PosixPath('../data/biokgb/properties/biokg.metadata.drug.tsv'), 'pathway': PosixPath('../data/biokgb/properties/biokg.metadata.pathway.tsv'), 'genetic_disorder': PosixPath('../data/biokgb/properties/biokg.metadata.genetic_disorder.tsv')}, biokgb_entity_attribute_paths={'disease': PosixPath('../data/biokgb/properties/biokg_meshid_to_descr_name.tsv'), 'protein': PosixPath('../data/biokgb/properties/protein_embeddings_full_24_12_protid_idx_mapping.json'), 'drug': PosixPath('../data/biokgb/properties/biokg_molecule_embeddings_idx_mapping.json')})" ] }, - "execution_count": 95, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -162,7 +151,7 @@ }, { "cell_type": "markdown", - "id": "57f63572", + "id": "a437df3e", "metadata": { "tags": [] }, @@ -172,8 +161,8 @@ }, { "cell_type": "code", - "execution_count": 45, - "id": "2833b0f4", + "execution_count": 7, + "id": "2fad0f8b", "metadata": {}, "outputs": [], "source": [ @@ -183,7 +172,7 @@ }, { "cell_type": "markdown", - "id": "18a1664c", + "id": "87b2a541", "metadata": {}, "source": [ "### load triples data" @@ -192,7 +181,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "5e17c6f1", + "id": "d6d62d51", "metadata": {}, "outputs": [ { @@ -219,7 +208,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "8deb7309", + "id": "da77524f", "metadata": { "tags": [] }, @@ -247,8 +236,8 @@ }, { "cell_type": "code", - "execution_count": 119, - "id": "8f2e0a3c", + "execution_count": 8, + "id": "ab02088f", "metadata": {}, "outputs": [], "source": [ @@ -264,7 +253,7 @@ }, { "cell_type": "markdown", - "id": "65c29e75", + "id": "bcff5da5", "metadata": {}, "source": [ "creating a dummy set of triples for unit testing purposes" @@ -272,8 +261,8 @@ }, { "cell_type": "code", - "execution_count": 120, - "id": "55d16186", + "execution_count": 9, + "id": "a523420b", "metadata": { "tags": [] }, @@ -288,8 +277,8 @@ }, { "cell_type": "code", - "execution_count": 139, - "id": "960aa626", + "execution_count": 10, + "id": "9a3e2df0", "metadata": {}, "outputs": [], "source": [ @@ -305,7 +294,7 @@ }, { "cell_type": "markdown", - "id": "a0433daa", + "id": "9ea857e2", "metadata": {}, "source": [ "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not" @@ -313,8 +302,8 @@ }, { "cell_type": "code", - "execution_count": 140, - "id": "ee7caeed", + "execution_count": 11, + "id": "ee59ec19", "metadata": {}, "outputs": [ { @@ -328,6 +317,7 @@ "name": "stderr", "output_type": "stream", "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", "Reconstructing all label-based triples. This is expensive and rarely needed.\n" ] }, @@ -336,20 +326,7 @@ "output_type": "stream", "text": [ "# drug entities in larger biokg (pre-benchmark removal): 13580\n", - "# drug entities for which we have attributes: 10815\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "# drug entities for which we have attributes: 10815\n", "Creating test sets with triples restricted to containing protein\n", "# protein entities in larger biokg (pre-benchmark removal): 122902\n", "# protein entities for which we have attributes: 121988\n" @@ -386,7 +363,7 @@ "dict_keys(['test', 'valid', 'train', 'dummy', 'TEST_RESTRICTED_DRUG', 'TEST_RESTRICTED_PROTEIN', 'TEST_RESTRICTED_DISEASE'])" ] }, - "execution_count": 140, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -408,8 +385,8 @@ }, { "cell_type": "code", - "execution_count": 46, - "id": "7e9ea67c", + "execution_count": 12, + "id": "b6bf2ab9", "metadata": {}, "outputs": [], "source": [ @@ -420,8 +397,8 @@ }, { "cell_type": "code", - "execution_count": 142, - "id": "c1134953", + "execution_count": 13, + "id": "cfa4e7fd", "metadata": {}, "outputs": [ { @@ -444,7 +421,7 @@ }, { "cell_type": "markdown", - "id": "978f9bf2", + "id": "868e7cf5", "metadata": {}, "source": [ "# Evaluation" @@ -452,7 +429,7 @@ }, { "cell_type": "markdown", - "id": "f9d2ed0e", + "id": "08208b4f", "metadata": {}, "source": [ "wandb logging" @@ -461,7 +438,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "c1eb5922", + "id": "cd015e31", "metadata": {}, "outputs": [ { @@ -483,7 +460,7 @@ }, { "cell_type": "markdown", - "id": "6bcce772", + "id": "0d3ef486", "metadata": {}, "source": [ "sanity check logic for experiment run with wandb logging" @@ -492,7 +469,7 @@ { "cell_type": "code", "execution_count": 55, - "id": "a8061f01", + "id": "6d4e9124", "metadata": {}, "outputs": [], "source": [ @@ -506,7 +483,7 @@ }, { "cell_type": "markdown", - "id": "cf758db0", + "id": "15a869c8", "metadata": {}, "source": [ "Triples with protein as src entity far outnumber triples with protein as tail entity. \n" @@ -514,7 +491,7 @@ }, { "cell_type": "markdown", - "id": "2417de72", + "id": "dfb4743c", "metadata": {}, "source": [ "### average performance predicting the node which has an entity degree of x\n", @@ -525,7 +502,7 @@ { "cell_type": "code", "execution_count": 39, - "id": "26f99037", + "id": "4d5afd2e", "metadata": {}, "outputs": [ { @@ -558,7 +535,7 @@ }, { "cell_type": "markdown", - "id": "c0ccc05f", + "id": "d58560ae", "metadata": { "tags": [] }, @@ -568,8 +545,8 @@ }, { "cell_type": "code", - "execution_count": 145, - "id": "2f160a51", + "execution_count": 14, + "id": "e5d58557", "metadata": {}, "outputs": [ { @@ -583,7 +560,7 @@ ], "source": [ "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n", - "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", "\n", "nde_ = NodeDegreeEvalAnalyser(train_triples=train,\n", @@ -602,17 +579,17 @@ }, { "cell_type": "code", - "execution_count": 146, - "id": "38d9bbd1", + "execution_count": 15, + "id": "4ef52efb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'src': 16509, 'tgt': 554}" + "{'src': 52678, 'tgt': 1386}" ] }, - "execution_count": 146, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -625,16 +602,16 @@ }, { "cell_type": "code", - "execution_count": 147, - "id": "ff7cc6fc", + "execution_count": 16, + "id": "73d4ed25", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Counts of triples with disease in src/tgt position {'src': 16509, 'tgt': 554}\n", - "i.e.,96.75% test triples with disease occuring in source position than in tail position\n" + "Counts of triples with protein in src/tgt position {'src': 52678, 'tgt': 1386}\n", + "i.e.,97.44% test triples with protein occuring in source position than in tail position\n" ] } ], @@ -645,15 +622,15 @@ }, { "cell_type": "code", - "execution_count": 66, - "id": "e92a71ec", + "execution_count": 17, + "id": "cae4786d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Restricting analysis to relations where we predict 'disease' as 'src'\n" + "Restricting analysis to relations where we predict 'protein' as 'src'\n" ] } ], @@ -664,25 +641,25 @@ }, { "cell_type": "code", - "execution_count": 63, - "id": "dab28f09", + "execution_count": 18, + "id": "ed6804a9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "count 16509.000000\n", - "mean 340.994972\n", - "std 483.923354\n", + "count 52678.000000\n", + "mean 53.009795\n", + "std 67.602469\n", "min 1.000000\n", - "25% 16.000000\n", - "50% 54.000000\n", - "75% 650.000000\n", - "max 1942.000000\n", + "25% 11.000000\n", + "50% 29.000000\n", + "75% 65.000000\n", + "max 480.000000\n", "Name: src_training_degree, dtype: float64" ] }, - "execution_count": 63, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -694,8 +671,8 @@ }, { "cell_type": "code", - "execution_count": 64, - "id": "4a358af2", + "execution_count": 19, + "id": "ae571c6f", "metadata": { "tags": [] }, @@ -703,18 +680,18 @@ { "data": { "text/plain": [ - "count 554.000000\n", - "mean 39.606498\n", - "std 72.414597\n", + "count 1386.000000\n", + "mean 75.972583\n", + "std 82.988725\n", "min 1.000000\n", - "25% 7.000000\n", - "50% 20.000000\n", - "75% 34.000000\n", - "max 1168.000000\n", + "25% 24.000000\n", + "50% 44.000000\n", + "75% 97.000000\n", + "max 409.000000\n", "Name: tgt_training_degree, dtype: float64" ] }, - "execution_count": 64, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -726,15 +703,15 @@ }, { "cell_type": "code", - "execution_count": 67, - "id": "23125bda", + "execution_count": 20, + "id": "5b7a8740", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "# unique entities of type 'disease' of training degree 1 in associated triples where it occurs in position src: 141\n" + "# unique entities of type 'protein' of training degree 1 in associated triples where it occurs in position src: 803\n" ] } ], @@ -750,15 +727,15 @@ }, { "cell_type": "code", - "execution_count": 68, - "id": "d4bde513", + "execution_count": 21, + "id": "adb77490", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "# unique entities of type 'disease' of training degree 10 in associated triples where it occurs in position tgt: 55\n" + "# unique entities of type 'protein' of training degree 10 in associated triples where it occurs in position tgt: 550\n" ] } ], @@ -773,13 +750,13 @@ }, { "cell_type": "code", - "execution_count": 69, - "id": "136932a1", + "execution_count": 22, + "id": "24b5f76b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -801,13 +778,13 @@ }, { "cell_type": "code", - "execution_count": 70, - "id": "2d2aac1f", + "execution_count": 23, + "id": "253f305b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -829,8 +806,8 @@ }, { "cell_type": "code", - "execution_count": 71, - "id": "7e6da4bc", + "execution_count": 24, + "id": "c538d851", "metadata": {}, "outputs": [ { @@ -839,13 +816,13 @@ "" ] }, - "execution_count": 71, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -864,8 +841,8 @@ }, { "cell_type": "code", - "execution_count": 72, - "id": "f1dd0c4b", + "execution_count": 26, + "id": "fcbef775", "metadata": {}, "outputs": [], "source": [ @@ -876,7 +853,7 @@ }, { "cell_type": "markdown", - "id": "e0b2a451", + "id": "37782267", "metadata": {}, "source": [ "## sanity check the evaluation procedure" @@ -885,7 +862,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1163b13b", + "id": "e1c89b5b", "metadata": {}, "outputs": [ { @@ -937,7 +914,7 @@ { "cell_type": "code", "execution_count": 161, - "id": "2f91036c", + "id": "312a8691", "metadata": {}, "outputs": [ { @@ -966,7 +943,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8b97e35c", + "id": "b6cbf2ff", "metadata": {}, "outputs": [], "source": [ @@ -990,7 +967,7 @@ { "cell_type": "code", "execution_count": 159, - "id": "8c279088", + "id": "3f7d9989", "metadata": {}, "outputs": [ { @@ -1012,7 +989,7 @@ }, { "cell_type": "markdown", - "id": "fbece21f", + "id": "81e42577", "metadata": {}, "source": [ "Which is equal to the number derived from the aggregates of the degree-bucket LP results (`micro_avg_lp_aggregated_from_degree_buckets`), checks out!" @@ -1020,7 +997,7 @@ }, { "cell_type": "markdown", - "id": "4ea405fa", + "id": "d886025c", "metadata": {}, "source": [ "## LP Eval within node degree buckets of triples related to entities we attribute encode" @@ -1028,7 +1005,7 @@ }, { "cell_type": "markdown", - "id": "29b20a25", + "id": "a8d4ce07", "metadata": {}, "source": [ "#### predict on disease-containing relations using BioBLP-D and ROTATE\n", @@ -1038,7 +1015,7 @@ { "cell_type": "code", "execution_count": 154, - "id": "3f7f82e2", + "id": "aad7802f", "metadata": {}, "outputs": [ { @@ -1104,7 +1081,7 @@ }, { "cell_type": "markdown", - "id": "e94df049", + "id": "6b8d56ca", "metadata": {}, "source": [ "##### predict with RotatE - disease" @@ -1113,7 +1090,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6435ed95", + "id": "b6823beb", "metadata": {}, "outputs": [], "source": [ @@ -1139,7 +1116,7 @@ }, { "cell_type": "markdown", - "id": "48e0c9d9", + "id": "47c24334", "metadata": {}, "source": [ "#### predict on drug-containing relations using BioBLP-M and ROTATE\n", @@ -1149,7 +1126,7 @@ { "cell_type": "code", "execution_count": 55, - "id": "7d813343", + "id": "f204f28c", "metadata": {}, "outputs": [ { @@ -1198,7 +1175,7 @@ }, { "cell_type": "markdown", - "id": "03c23e51", + "id": "f97d132a", "metadata": {}, "source": [ "##### predict with rotate - drug" @@ -1207,7 +1184,7 @@ { "cell_type": "code", "execution_count": 60, - "id": "b096a84d", + "id": "e87c5293", "metadata": {}, "outputs": [ { @@ -1256,7 +1233,7 @@ }, { "cell_type": "markdown", - "id": "95e5a65a", + "id": "7f51ad1d", "metadata": { "tags": [] }, @@ -1266,10 +1243,42 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "d6f137c3", + "execution_count": 27, + "id": "4e4299c7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Evaluating LP metrics on triples which have protein in src position, using kge from model rotate-bioblp-p-4o6x9h96\n", + "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-bioblp-p-4o6x9h96\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 256/256 [1:15:01<00:00, 17.58s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing results to metrics/rotate-bioblp-p-4o6x9h96/20230420-155104/node-degree-eval.json\n", + "Writing results to metrics/rotate-bioblp-p-4o6x9h96/20230420-155104/metadata.json\n" + ] + } + ], "source": [ "MODEL_ID = BIOBLP_P\n", "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN \n", @@ -1293,30 +1302,26 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "d4e7da14", + "execution_count": 29, + "id": "98cf681e", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n", "Reconstructing all label-based triples. This is expensive and rarely needed.\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 52%|█████▏ | 133/256 [47:55<27:57, 13.64s/it] " + "ename": "NameError", + "evalue": "name 'TEST_RESTRICTED_ENT' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[29], line 11\u001b[0m\n\u001b[1;32m 6\u001b[0m eval_out_dir \u001b[38;5;241m=\u001b[39m Path(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./metrics/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMODEL_ID\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m nde \u001b[38;5;241m=\u001b[39m NodeDegreeEvalAnalyser(train_triples, ENT_ASSOC_REL_NAMES)\n\u001b[1;32m 8\u001b[0m results_by_node_degree_dicts_rotate_prot \u001b[38;5;241m=\u001b[39m nde\u001b[38;5;241m.\u001b[39mevaluate_and_format(entity_type_to_predict\u001b[38;5;241m=\u001b[39mENTITY_TYPE_W_ATTR_ENCODE,\n\u001b[1;32m 9\u001b[0m node_endpoint_to_predict\u001b[38;5;241m=\u001b[39mCOL_SOURCE,\n\u001b[1;32m 10\u001b[0m test_triples\u001b[38;5;241m=\u001b[39mtest, \n\u001b[0;32m---> 11\u001b[0m test_set_slug\u001b[38;5;241m=\u001b[39m\u001b[43mTEST_RESTRICTED_ENT\u001b[49m,\n\u001b[1;32m 12\u001b[0m model_id\u001b[38;5;241m=\u001b[39mMODEL_ID,\n\u001b[1;32m 13\u001b[0m train_triples\u001b[38;5;241m=\u001b[39mtriples_dict\u001b[38;5;241m.\u001b[39mget(TRAIN),\n\u001b[1;32m 14\u001b[0m valid_triples\u001b[38;5;241m=\u001b[39mtriples_dict\u001b[38;5;241m.\u001b[39mget(VALID),\n\u001b[1;32m 15\u001b[0m model_registry_cfg\u001b[38;5;241m=\u001b[39mmodel_reg_cfg,\n\u001b[1;32m 16\u001b[0m eval_out_dir\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./metrics\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 17\u001b[0m eval_metric_type\u001b[38;5;241m=\u001b[39mEVAL_METRIC_REALISTIC,\n\u001b[1;32m 18\u001b[0m write_results_to_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 19\u001b[0m )\n", + "\u001b[0;31mNameError\u001b[0m: name 'TEST_RESTRICTED_ENT' is not defined" ] } ], @@ -1339,12 +1344,12 @@ " eval_out_dir=\"./metrics\",\n", " eval_metric_type=EVAL_METRIC_REALISTIC,\n", " write_results_to_file=True\n", - " )esults_by_node_degree_dicts_rotate = x.format_eval_results(results_dict, eval_triple_endpoint=EVAL_NODE_HEAD, eval_metric_type=EVAL_METRIC_REALISTIC)\n" + " )" ] }, { "cell_type": "markdown", - "id": "5cd459e1", + "id": "69e5e4b3", "metadata": {}, "source": [ "### Plots V2 - Plotting the difference in LP scores by RotatE and BioBLP-X\n", @@ -1353,7 +1358,7 @@ }, { "cell_type": "markdown", - "id": "303557af", + "id": "2dd66419", "metadata": {}, "source": [ "### define plotting logic" @@ -1362,7 +1367,7 @@ { "cell_type": "code", "execution_count": 73, - "id": "50c0d4a4", + "id": "2e7f440f", "metadata": { "tags": [] }, @@ -1381,7 +1386,7 @@ { "cell_type": "code", "execution_count": 241, - "id": "59f6999a", + "id": "40315fda", "metadata": {}, "outputs": [], "source": [ @@ -1399,7 +1404,7 @@ { "cell_type": "code", "execution_count": 221, - "id": "78ba3f42", + "id": "3bae4ae7", "metadata": { "jupyter": { "source_hidden": true @@ -1505,7 +1510,7 @@ { "cell_type": "code", "execution_count": 185, - "id": "03ed8da3", + "id": "114d8835", "metadata": {}, "outputs": [ { @@ -1539,7 +1544,7 @@ { "cell_type": "code", "execution_count": 236, - "id": "174e7b63", + "id": "a4e48844", "metadata": {}, "outputs": [ { @@ -1711,7 +1716,7 @@ { "cell_type": "code", "execution_count": 188, - "id": "5f2fc497", + "id": "3ab72fa6", "metadata": {}, "outputs": [ { @@ -1810,7 +1815,7 @@ { "cell_type": "code", "execution_count": 208, - "id": "5e29d7d6", + "id": "e8bdd03d", "metadata": {}, "outputs": [], "source": [ @@ -1820,7 +1825,7 @@ { "cell_type": "code", "execution_count": 94, - "id": "80d4c226", + "id": "85c1b6ef", "metadata": {}, "outputs": [], "source": [ @@ -1833,7 +1838,7 @@ }, { "cell_type": "markdown", - "id": "d65441ea", + "id": "d1a8196d", "metadata": {}, "source": [ "note,not all the cells have been amended after changing the structure of the eval results dictionary to store 'head', 'tail', 'both', results,\n", @@ -1843,7 +1848,7 @@ { "cell_type": "code", "execution_count": 237, - "id": "ca2920ee", + "id": "7229ac09", "metadata": {}, "outputs": [ { @@ -1870,7 +1875,7 @@ { "cell_type": "code", "execution_count": 238, - "id": "d0bbf7b8", + "id": "f64135c9", "metadata": {}, "outputs": [ { @@ -1897,7 +1902,7 @@ { "cell_type": "code", "execution_count": 239, - "id": "a43e8365", + "id": "0e1abc1e", "metadata": {}, "outputs": [ { @@ -1924,14 +1929,14 @@ { "cell_type": "code", "execution_count": null, - "id": "367f284f", + "id": "dbd6be84", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "1b9a0517", + "id": "4b85d67d", "metadata": {}, "source": [ "\n", @@ -1941,7 +1946,7 @@ { "cell_type": "code", "execution_count": 98, - "id": "9d579216", + "id": "6117337a", "metadata": {}, "outputs": [ { @@ -1962,7 +1967,7 @@ { "cell_type": "code", "execution_count": 99, - "id": "f5062c67", + "id": "7beb8e2c", "metadata": {}, "outputs": [ { @@ -2038,7 +2043,7 @@ }, { "cell_type": "markdown", - "id": "2fef1fd5", + "id": "25d2cc05", "metadata": {}, "source": [ "Save custom plots to Weights and biases" @@ -2047,7 +2052,7 @@ { "cell_type": "code", "execution_count": 117, - "id": "72fbe30a", + "id": "e887d5cf", "metadata": {}, "outputs": [ { @@ -2073,7 +2078,7 @@ { "cell_type": "code", "execution_count": 120, - "id": "1549e402", + "id": "185d4597", "metadata": {}, "outputs": [], "source": [ @@ -2089,7 +2094,7 @@ { "cell_type": "code", "execution_count": null, - "id": "77291240", + "id": "8cfc1c81", "metadata": {}, "outputs": [], "source": [ @@ -2100,7 +2105,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "835ac78c", + "id": "7e9622cb", "metadata": {}, "outputs": [], "source": [ @@ -2114,14 +2119,14 @@ { "cell_type": "code", "execution_count": null, - "id": "04cdd71f", + "id": "51eaa0b1", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "6053a463", + "id": "622f8141", "metadata": {}, "source": [ "### Protein stuff" @@ -2130,7 +2135,7 @@ { "cell_type": "code", "execution_count": 58, - "id": "a6e66e7a", + "id": "23d6c95a", "metadata": { "tags": [] }, @@ -2173,7 +2178,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "b4dc468a", + "id": "ace35d7b", "metadata": { "collapsed": true, "jupyter": { @@ -2229,14 +2234,14 @@ { "cell_type": "code", "execution_count": null, - "id": "16fa5b55", + "id": "5e9573c2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", - "id": "08d71987", + "id": "77d993f3", "metadata": {}, "source": [ "### Plots V1 - Separate series plotted for BioBLP-D and RotatE" @@ -2244,7 +2249,7 @@ }, { "cell_type": "markdown", - "id": "a20c6093", + "id": "5afbc6bc", "metadata": {}, "source": [ "load from file" @@ -2253,7 +2258,7 @@ { "cell_type": "code", "execution_count": 68, - "id": "fd3b31a7", + "id": "2be54ff3", "metadata": {}, "outputs": [], "source": [ @@ -2270,7 +2275,7 @@ { "cell_type": "code", "execution_count": 69, - "id": "2c17464f", + "id": "be8c55d7", "metadata": {}, "outputs": [ { @@ -2297,7 +2302,7 @@ { "cell_type": "code", "execution_count": 91, - "id": "9cd322a6", + "id": "3c26047e", "metadata": {}, "outputs": [ { @@ -2324,7 +2329,7 @@ { "cell_type": "code", "execution_count": 48, - "id": "b467daf7", + "id": "83398f56", "metadata": {}, "outputs": [ { @@ -2387,7 +2392,7 @@ { "cell_type": "code", "execution_count": 49, - "id": "a79e5790", + "id": "35d970b5", "metadata": {}, "outputs": [], "source": [ @@ -2400,7 +2405,7 @@ }, { "cell_type": "markdown", - "id": "73f1a439", + "id": "504eb924", "metadata": { "tags": [] }, @@ -2410,7 +2415,7 @@ }, { "cell_type": "markdown", - "id": "0ae3bebb", + "id": "19c7990b", "metadata": {}, "source": [ "All plots below look quite similar!" @@ -2418,7 +2423,7 @@ }, { "cell_type": "markdown", - "id": "23be7d67", + "id": "64808973", "metadata": {}, "source": [ "load from file" @@ -2427,7 +2432,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "87c11a17", + "id": "3b09ef67", "metadata": { "tags": [] }, @@ -2444,7 +2449,7 @@ { "cell_type": "code", "execution_count": 92, - "id": "12b96964", + "id": "ccb4ef2c", "metadata": {}, "outputs": [ { @@ -2467,7 +2472,7 @@ { "cell_type": "code", "execution_count": 86, - "id": "9f4e2390", + "id": "d2daad49", "metadata": {}, "outputs": [], "source": [ @@ -2477,7 +2482,7 @@ { "cell_type": "code", "execution_count": 92, - "id": "eeaf4ba7", + "id": "7cb19407", "metadata": {}, "outputs": [ { @@ -2507,7 +2512,7 @@ { "cell_type": "code", "execution_count": 93, - "id": "45fe391a", + "id": "f75881a4", "metadata": {}, "outputs": [ { @@ -2538,7 +2543,7 @@ { "cell_type": "code", "execution_count": 90, - "id": "aa987c75", + "id": "c0a1ad4e", "metadata": {}, "outputs": [ { @@ -2568,7 +2573,7 @@ }, { "cell_type": "markdown", - "id": "589e23ed", + "id": "c854937e", "metadata": { "tags": [] }, @@ -2579,7 +2584,7 @@ { "cell_type": "code", "execution_count": 53, - "id": "d2f42849", + "id": "6841bac7", "metadata": {}, "outputs": [], "source": [ @@ -2590,7 +2595,7 @@ { "cell_type": "code", "execution_count": 114, - "id": "1752f2d5", + "id": "5e265fc0", "metadata": {}, "outputs": [ { @@ -2616,7 +2621,7 @@ { "cell_type": "code", "execution_count": 113, - "id": "2e963563", + "id": "f78c40d7", "metadata": {}, "outputs": [ { @@ -2640,7 +2645,7 @@ { "cell_type": "code", "execution_count": 112, - "id": "e550c92b", + "id": "be99e647", "metadata": {}, "outputs": [ { @@ -2664,7 +2669,7 @@ { "cell_type": "code", "execution_count": 98, - "id": "870f21b6", + "id": "e3b3d622", "metadata": {}, "outputs": [ { @@ -2685,7 +2690,7 @@ { "cell_type": "code", "execution_count": 99, - "id": "4df56118", + "id": "e76f20c5", "metadata": {}, "outputs": [ { @@ -2761,7 +2766,7 @@ }, { "cell_type": "markdown", - "id": "9004a15c", + "id": "71b41731", "metadata": {}, "source": [ "Save custom plots to Weights and biases" @@ -2770,7 +2775,7 @@ { "cell_type": "code", "execution_count": 117, - "id": "2ace10a2", + "id": "d168a74c", "metadata": {}, "outputs": [ { @@ -2796,7 +2801,7 @@ { "cell_type": "code", "execution_count": 120, - "id": "0e1a5fc4", + "id": "64103120", "metadata": {}, "outputs": [], "source": [ @@ -2812,7 +2817,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1364d8aa", + "id": "b896d3ee", "metadata": {}, "outputs": [], "source": [ @@ -2823,7 +2828,7 @@ { "cell_type": "code", "execution_count": 187, - "id": "ee52c406", + "id": "126c5629", "metadata": {}, "outputs": [], "source": [ @@ -2836,7 +2841,7 @@ }, { "cell_type": "markdown", - "id": "e8fb6c28", + "id": "a0d56e29", "metadata": {}, "source": [ "## " @@ -2845,7 +2850,7 @@ { "cell_type": "code", "execution_count": 188, - "id": "475019f2", + "id": "0ed09d82", "metadata": {}, "outputs": [], "source": [ @@ -2858,7 +2863,7 @@ { "cell_type": "code", "execution_count": 206, - "id": "b55640f2", + "id": "45c7f2b3", "metadata": {}, "outputs": [], "source": [ @@ -2872,7 +2877,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fa6b857a", + "id": "23e2f48b", "metadata": {}, "outputs": [], "source": [] @@ -2880,7 +2885,7 @@ { "cell_type": "code", "execution_count": null, - "id": "74d3f4a7", + "id": "d53422f3", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/nb_utils/artifact_registry.toml b/notebooks/nb_utils/artifact_registry.toml index 9b0bbb8..ab5c3b0 100644 --- a/notebooks/nb_utils/artifact_registry.toml +++ b/notebooks/nb_utils/artifact_registry.toml @@ -29,16 +29,11 @@ drug = "biokg_molecule_embeddings_idx_mapping.json" # drug = "biokg_molecule_embeddings.pt" # model registry -[kge_models] - -#[kge_models.model_types] -#rotate = "rotate" -#bioblp_d = "bioblp_d" -#bioblp_p = "bioblp_p" - [kge_models.registered_models] # model directory path relative to model_registry_root_dir rotate-otxtubeb = "rotate-otxtubeb" bioblpd-38uz9fjs-16-03-2023 = "bioblpd-38uz9fjs-16-03-2023" bioblpd-38uz9fjs = "bioblpd-38uz9fjs" bioblpp-cttc3ucm = "bioblpp-cttc3ucm" bioblpm-5rxz3k57 = "bioblpm-5rxz3k57" +rotate-bioblp-m-1r75g9na = "rotate-bioblp-m-1r75g9na" +rotate-bioblp-p-4o6x9h96 = "rotate-bioblp-p-4o6x9h96" From f0471c51f4be3e22dfb4d75091a1e4c2bfe89b2a Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Mon, 24 Apr 2023 08:44:07 +0000 Subject: [PATCH 06/10] plotting improvements and nb --- ...1_eval_lp_node_degree_effect-modular.ipynb | 3045 ----------------- ...4_03_eval_lp_node_degree_effect-plot.ipynb | 2079 +++++++++++ notebooks/nb_utils/eval_utils.py | 8 + notebooks/nb_utils/plot_utils.py | 113 +- 4 files changed, 2199 insertions(+), 3046 deletions(-) delete mode 100644 notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb create mode 100644 notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb diff --git a/notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb b/notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb deleted file mode 100644 index 7d4c10d..0000000 --- a/notebooks/07_04_01_eval_lp_node_degree_effect-modular.ipynb +++ /dev/null @@ -1,3045 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "88d4f3b3", - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "b0ae15c8", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/jovyan/.conda/envs/bioblp-env/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "source": [ - "import json\n", - "from IPython.display import Image\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "from pathlib import Path\n", - "import seaborn as sns\n", - "import time\n", - "from tqdm import tqdm\n", - "from typing import List\n", - "#from typing import Union\n", - "\n", - "from pykeen.evaluation import RankBasedEvaluator\n", - "from pykeen.triples import TriplesFactory\n", - "import toml\n", - "import torch" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9d30a407", - "metadata": {}, - "outputs": [], - "source": [ - "from nb_utils.eval_utils import TEST, VALID, TRAIN\n", - "#from nb_utils.eval_utils import TEST_EXCLUDING_DIS, TEST_RESTRICTED_DIS\n", - "#from nb_utils.eval_utils import TEST_EXCLUDING_PROT, TEST_RESTRICTED_PROT\n", - "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, EVAL_METRICS_SHORTLIST\n", - "from nb_utils.eval_utils import COL_SOURCE, COL_TARGET, COL_EDGE, COL_NODE, DEGREE, IN_DEGREE, OUT_DEGREE\n", - "from nb_utils.eval_utils import obtain_filtered_triples\n", - "from nb_utils.eval_utils import split_test_triples_conditioned_on_ent_property, split_train_ents_by_existance_of_properties\n", - "from nb_utils.eval_utils import setup_wandb_result_tracker, run_experiment_and_log_wandb\n", - "from nb_utils.eval_utils import make_results_dict_all_rel, make_results_dict_rel_breakdown\n", - "from nb_utils.eval_utils import compute_node_degrees_in_out\n", - "from nb_utils.eval_utils import load_kge_model\n", - "\n", - "from nb_utils.config import ARTIFACT_REGISTRY_TOML_PATH, EntityType\n", - "from nb_utils.config import load_toml, ModelRegistryConfig, EvaluationConfig\n", - "from nb_utils.config import GraphRegistryConfig, EntityType" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "27ad3247", - "metadata": {}, - "outputs": [], - "source": [ - "ROTATE = \"rotate-otxtubeb\"\n", - "BIOBLP_D = \"bioblpd-38uz9fjs\" \n", - "BIOBLP_P = \"bioblpp-cttc3ucm\"" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "4b06e806", - "metadata": {}, - "outputs": [], - "source": [ - "toml_path = ARTIFACT_REGISTRY_TOML_PATH\n", - "model_reg_cfg = ModelRegistryConfig.from_toml(toml_path)\n", - "model_registry_paths = model_reg_cfg.registered_model_paths\n", - "model_registry_paths\n", - "model_training_paths = model_reg_cfg.registered_model_training_triples_paths" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "c9c9ae27", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "GraphRegistryConfig(biokgb_data_splits={'valid': PosixPath('../data/biokgb/graph/biokg.links-valid.csv'), 'test': PosixPath('../data/biokgb/graph/biokg.links-test.csv'), 'dummy': PosixPath('../data/biokgb/graph/biokg.links-dummy.csv')}, biokgb_entity_type_metadata_paths={'disease': PosixPath('../data/biokgb/properties/biokg.metadata.disease.tsv'), 'protein': PosixPath('../data/biokgb/properties/biokg.metadata.protein.tsv')}, biokgb_entity_attribute_paths={'disease': PosixPath('../data/biokgb/properties/biokg_meshid_to_descr_name.tsv'), 'protein': PosixPath('../data/biokgb/properties/protein_embeddings_full_24_12_protid_idx_mapping.json')})" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "graph_cfg = GraphRegistryConfig.from_toml(ARTIFACT_REGISTRY_TOML_PATH)\n", - "graph_cfg" - ] - }, - { - "cell_type": "markdown", - "id": "476564c1", - "metadata": { - "tags": [] - }, - "source": [ - "## LOAD TRIPLES DICT EASILY and start the degree analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "8d6f20fd-8f12-4c61-b65b-1910d7cffe04", - "metadata": {}, - "outputs": [], - "source": [ - "MODEL_ID = ROTATE \n", - "PROTEIN = 'protein'\n", - "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN # EntityType{Protein}.value\n", - "\n", - "#load model, train triples, test and valid" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "cf492305", - "metadata": {}, - "outputs": [], - "source": [ - "model = load_kge_model(model_registry_paths[MODEL_ID])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "d036ebee", - "metadata": {}, - "outputs": [], - "source": [ - "# load model\n", - "# model = load_kge_model(model_registry_paths[MODEL_ID])\n", - "\n", - "# load training splits\n", - "train = TriplesFactory.from_path_binary(model_training_paths[MODEL_ID])\n", - "\n", - "\n", - "valid, test, dummy = [TriplesFactory.from_path(f,\n", - " entity_to_id=train.entity_to_id,\n", - " relation_to_id=train.relation_to_id)\n", - " for f in (graph_cfg.biokgb_data_splits.values())]" - ] - }, - { - "cell_type": "markdown", - "id": "ea2f149d", - "metadata": {}, - "source": [ - "creating a dummy set of triples for unit testing purposes" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "cc559c27", - "metadata": { - "jupyter": { - "source_hidden": true - }, - "tags": [] - }, - "outputs": [], - "source": [ - "DUMMY = 'dummy'\n", - "dummy_triples_path = graph_cfg.biokgb_data_splits[DUMMY]\n", - "if not dummy_triples_path.exists:\n", - " print(f'Slicing test triples to create a batch of dummy triples and saving to {str(dummy_triples_path)}')\n", - " dummy_df = pd.read_csv(graph_path.joinpath(test_triples), sep=\"\\t\", header=None)[:50]\n", - " dummy_df.to_csv(dummy_triples_path, sep=\"\\t\", index=None, header=None)" - ] - }, - { - "cell_type": "markdown", - "id": "15cd129c", - "metadata": {}, - "source": [ - "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not\n", - "\n", - "Create test sets: \n", - "D; D_b, D_r; " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "8a6472e8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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m69As2tU+QrGgeEw0AgEEEEAAAQQQQAABBBBAAAEEEEAghAQIukLoYdFUBBBAAIGyBXYuz5YtC7Mkf9/Bsg8O0iOMHmNGT7Ho2CiJb6hCslqRkqBeWRBAoHSBoqIiiYykJ2XpSuxFAAEEEEAAAQQQQAABBBBAIDwEQiroys7OlmXLlkmfPn3CQ5+7QAABBBCoNIFwCLh8xdC9wnTvML0YPcOM4RLpFearIseFo0BWVpa899570qxZMznzzDPD8Ra5JwQQQAABBBBAAAEEEEAAAQQQsAmEVNA1ceJEWb9+vaSnp8u5554rKSkpttuhiAACCCBQ0wT2b8+X1V9sC+keXFXxzIxhEnUQZgyPmHR4uMSquB51IhBogeXLl8uMGTMkN/fQ/HsXX3yxtGvXLtDN4voIIIAAAggggAACCCCAAAIIIFDFAiETdM2bN09mz55tcqSmpsqoUaPMMisIIIAAAjVPQIdcf8/YIoV5RTXv5it4x8awiLrnlw7A9JCI9AKrICanBZXAggULZNasWWab4uLi5Nprr5Xk5GRzGysIIIAAAggggAACCCCAAAIIIBB+AiERdG3atElef/110fMtGMuIESNcPbuMMq8IIIAAAjVLIGhDrmL1HNRP8eEfvaLX9TbXYt+uN7rtcxUPlyMiXGeIuL26VvUO/Y8uGD961bUe4Xq17ztck9cXYzhEY14wPRRiTGKUKwzzehI7EAgygSlTpsiKFSvMVjVt2lSuvPJK9TuhfzlYEEAAAQQQQAABBBBAAAEEEEAgHAWCPujS4dYLL7wgO3fuNP179eolAwcONMusIIAAAgjULIGdy/fJutk7qu+mD4dTxervLYp1aqVfC9VPkd6hX6uvKf5cKSJSna2+74+IVGFYlH49vG6EZV6ygMSmca5eXwkNY9WcYLGEX/48BM6tUgE9bOG4ceMkLy/PvM6AAQOkd+/eZpkVBBBAAAEEEEAAAQQQQAABBBAIL4GgD7rmz58vX331lalep04d15CFejgaFgQQQACBmiege3Itn7qp8m/8cGBVVKh6YOkQ6/Br5V8o+GuMiD4cgKnXSB2KHQ7IjJYbvb/0/F8Jh4c+1MMgsiAQDAJ6rq733nvPbEpMTIyMGTNGEhISzG2sIIAAAggggAACCCCAAAIIIIBA+AgEddCVnZ0t48ePl4KCAlOcIQtNClYQQACBGimwcvoWyd6UW/F7V72v9Ei4h4KsYinS/4lRIReLDwKqx1dk9OHeYFERKgRT5+gfteghDxMa1pI4NfeXHvaQeb8OufDvwAhMnz5dli5dal68W7duMnjwYLPMCgIIIIAAAggggAACCCCAAAIIhI9AUAdd06ZNkz/++MPU7t+/v2RkZJhlVhBAAAEEapZAeYcs1EMKFhWoHloqzCo6SJpVVe8WPf1RhA7AVKeuKBWAuYdfetjDhAYxasjDQ72/qqoN1IuAu4AewnDChAmyZ88ec/MVV1whzZs3N8usIIAAAggggAACCCCAAAIIIIBAeAgEbdC1du1amTx5sqmshyy88cYbzTIrCCCAAAI1S6Agr0j+eHODFKpXx0XlWEVqyEEdaLlCLXItR6bq2qjDr8gYFX6pACxSzQem5wbTQx4mqeCrTqvazPVVXQ+iBl/HPoRhgwYN5LrrrpMI/eZkQQABBBBAAAEEEEAAAQQQQACBsBEIyqCrSI0p9dxzz8nu3btN6CFDhkjHjh3NMisIIIAAAjVLYPPC3ZL5c5Z500ZvLR1q6R5bLMEvEKnn/qoVIVEq/NK9vvRwh7rHlw6/EpvECvN8Bf8zDLUWTpo0SdatW2c2e8CAAdK7d2+zzAoCCCCAAAIIIIAAAggggAACCIS+QFAGXT/88IN8/fXXpm7Lli1l5MiRZpkVBBBAAIGaJ/DLs2uk8HBvrWLVc4sl9AUiVPAV6RZ8xR8e4jCpmQ6+4iVa9QBjQcAfgczMTHnppZfMKmJiYmTMmDGSkJBgbmMFAQQQQAABBBBAAAEEEEAAAQRCWyDogq7s7GwZP368FBSU/Hn+NddcI2lpaaEtTesRQAABBMoloHts6WEK8/cVya6V2bLxu53lOp+DQ09Ah156uEPd80svOviq0ypBkprFS5Ka44sFgYoIzJw5U3766Sfz1G7dusngwYPNMisIIIAAAggggAACCCCAAAIIIBDaAkEXdH3xxReycOFCU7V79+4yaNAgs8wKAggggED4ChQXFMvBAyrc2lPgmm/LuNPMRVmya0W2UeS1BghEqM5ckbFqmEMVftnn99LhF729asCboJJuMTc3V8aNGyd5eXmuGvX/W5599tkSFaUnj2NBAAEEEEAAAQQQQAABBBBAAIFQFwi6oEt/GbFgwQLXj8a98cYbJS6Ov+Iu1xut6KDk7/i7XKdwMAKhIFCrTnOJiE0KhabSRl8FilWvLTUcYUFOoeTt9T4e4erPMyV3d0lPX1+r57gwEVBZV5Tu6aV+dACmFz23V0qr2qrHVzxzex0i4d+lCOj/t9TDGGZkZEhKSkopR7ILAQQQQAABBBBAAAEEEEAAAQRCTSDogi4DUAde+guJ9PR0YxOvvgqooCtv02Jfj+Y4BEJGIKZRF4KukHlapTe0MF/13FLBVr4KuMpaDmYXyt8ztpR1GPtrkIAOvKJUby8j9IpJquUKvOp3TJKEhjE1SIJbRQABBBBAAAEEEEAAAQQQQAABBBAI2qCLR+OHAEGXH3icGswCBF3B/HTKbpseljA/p0jy1LCEonpy+bpkrc6RzT/u9vVwjqtJArqnlx7eUAVfenhDvRB6HXLg3wgggAACCCCAAAIIIIAAAggggEBNESDoCscnTdAVjk+Ve1ICBF0h+DZQgVbBgULJ3VWo5twqR7rldqvblu2RHb/tc9vCKgKeArp3V1R8pERGl+wj9CqxYA0BBBBAAAEEEEAAAQQQQAABBBAIVwGCrnB8sgRd4fhUuSclQNAVOm8DPTRh/p5CObi/7KEJy7orgq6yhNhvF9BDG0arnl5yeD4vvV+HXo26JzOnlx2LMgIIIIAAAggggAACCCCAAAIIIBDiAgRdIf4AHZtP0OXIwsbQFyDoCu5nWFwkclDNuZWXVSB6vbKWvRsOyMbvdlZWddRTgwRcvbziIiSy1uFxDQ/fe2LTONHzedVplaACMbc0rAbZcKsIIIAAAggggAACCCCAAAIIIIBAuAgQdIXLk3S/D4Iudw3Ww0iAoCs4H6aeeysvq1DNv+V/7y2nO8zJzJN1s7c77WIbAj4LuOby0r28rJmX1FOBV/2OiZKkwi8WBBBAAAEEEEAAAQQQQAABBBBAAIHQEyDoCr1nVnaLCbrKNuKIkBQg6Aqux6aHJ8zdeVD0a1UuBF1VqVvz6o6spebyiosU3dvLfTGGNqynQi96ebnLsI4AAggggAACCCCAAAIIIIAAAggEtwBBV3A/n4q1jqCrYm6cFfQCBF2BfUT79u2Td999VzZv2CzDB18ujeqlVWqDivKLZO/GXDmYfSg8y83Kd9Wvt+fuLqjUa1EZAhFRItHxKvBSr/ZF9/JqdESyJDSMse+ijAACCCCAAAIIIIAAAggggAACCCAQZAIEXUH2QCqlOQRdlcJIJcEnQNAVwGeiOm39+6ab5bt5c12N6Nuznzxw+6N+N0iHWLtX58ge9UOY5TcnFVRAwNs8XroqYy4vPbQhCwIIIIAAAggggAACCCCAAAIIIIBAcAoQdAXnc/GvVQRd/vlxdtAKEHQF4NGogCt/X6HkZhXITXeNlqV/LnE1onvnHvLMA89XuEE64Nq5fJ/6yZaig1U79GGFG8mJNUogQs3dFRkXIVExtkm8lALDGtaotwI3iwACCCCAAAIIIIAAAggggAACISZA0BViD8yn5hJ0+cTEQaEnQNBVjc/MCLjchgyc99P3cs/jt7saMfryMXL+WRdVqEFZqvdW5qIsAq4K6XFSlQuonCvKS+AVFRspDdWQho2612Eeryp/EFwAAQQQQAABBBBAAAEEEEAAAQQQ8E2AoMs3p9A6iqArtJ4XrfVZgKDLZyq/DizIKZT9O9WcWA4drbZu2yL79mdL2/R25b6G7sW1RQVce9bsL/e5nIBAdQvoHl5RCZESGe15ZQIvTxO2IIAAAggggAACCCCAAAIIIIAAAoESCFjQtWbNGqlbt66kpKQE6t7D97oEXeH7bGv4nRF0Ve0boDC3WA7syJeiwsq/jg651n69jXm4Kp+WGqtYQM/hFa0Cr4gozwvpwKtxz7qqh1ey5062hIxAZmamLF26VJYvXy4XX3yxNGzYMGTaTkMRQAABBBBAAAEEEEAAAQQQQEAkIEFXUVGRPPHEE5KbmytpaWnSq1cv6dGjB8+jsgQIuipLknqCTICgq2oeSHFBseRsO1hlQwkSclXNc6PW6hWIUD27aqnASzyn8HLN4dXy5AaS1DSuehvF1fwW0OHWe++9Z9Zz/PHHy8knn2yWWUEAAQQQQAABBBBAAAEEEEAAgeAXCEjQtWLFCpkyZYqpo4OugQMHmmVW/BQg6PITkNODVYCgq3KfTHGRqB5cBVJwoPxduPQQhjO//UK6dz1SenQ5stSGbfhuh+zbkFvqMexEIFQEImMiJDreIe1SN5Cogq6WJzWQ2ORaoXI7tFMJjB071nRITk6Wm266ySyzggACCCCAAAIIIIAAAggggAACwS8QkKBrxowZsmTJElNnyJAh0rFjR7PMip8CBF1+AnJ6sAoQdFXSk1Fzb+XvK6zwMII65PrXLSMlOydbEmsnyitPTpLURo0dG5ep5uTatSLbcR8bEQhZAT1/V1yERKnQy74wnKFdJPjL+o+v9B9hGcs111zjGnHAKPOKAAIIIIAAAggggAACCCCAAALBLRCQoGvcuHGyZ88eU+bee+8111mpBAGCrkpApIpgFCDo8v+pFBwokv3bD4qosKuiy5I/fpV/33O9efrT9z/n2Ksrd1e+rP5im3kcKwiEm0CEyrmiazvP3xXfIEb17mooCQ1jwu22w+5+9B9f6T/CMpbTTjtNjjvuOKPIKwIIIIAAAggggAACCCCAAAIIBLlAtQddWVlZMn78eJOlQ4cOMnToULPMSiUIEHRVAiJVBKMAQZcfT0UFW3qYwoP7yz9Mof2quifXsFHnS87+bKmdkCivPuXco2vt19tk/9Z8++mUEQg7AW/DGereXc2Oryf1OyaF3T2H0w3Z/9+0ffv2MmzYsHC6Re4FAQQQQAABBBBAAAEEEEAAgbAWqPagy/5Xs+eee6706NEjrJGr/eYIuqqdnAtWjwBBV8WcC3KLZf82FTj50YvLfuVDc3R9LgNPPMNx2MKczDxZN3u7/TTKCIStQGm9uxoekSzN+9UP23sPhxubMGGCbN261XUrMTExcvvtt0uEfqgsCCCAAAIIIIAAAggggAACCCAQ9ALVHnR99NFHsmzZMhNmzJgxkpKSYpZZqQQBgq5KQKSKYBQg6CrnU1HBVu7OAsnP8b8XVzmvLBvmbpd9G/PKexrHIxDyAlGxau4uNX+XfUlsGietT0+VaNXLiyX4BObMmSNz5841G3bVVVdJ06ZNzTIrCCCAAAIIIIAAAggggAACCCAQvALVHnQ9+eSTkpOT4xJJTU2VUaNGBa9OqLaMoCtUnxztLkOAoKsMILfdhXmHenEVF7ltrKbVovwiWf7+5mq6GpdBIPgEIlSWVUvN3SW2TEvP29VuUGPCruB7ZLJ27VqZPHmy2bJTTjlF+vbta5ZZQQABBBBAAAEEEEAAAQQQQACB4BWo1qBr165d8uyzz5oavXr1koEDB5plVipJgKCrkiCpJtgECLp8eCK6F9du1YtrX/X14vpn7d+uhrVNb+d6zVqdI5t/3O1DYzkEgfAW0D27dA8v94Wwy10juNbHjh1rNqhNmzYyfPhws8wKAggggAACCCCAAAIIIIAAAggEr0C1Bl2LFy+WTz/91NRgfi6TonJXCLoq15PagkaAoKv0R1FcUCzZW/KlOntxffDpVHl+4nhXw0ZcdIWMGHIlwxaW/pjYW8MEIqIO9+5yy7sIu4LzTeA+T1d0dLTccccdEhlp65YXnE2nVQgggAACCCCAAAIIIIAAAgjUaIFqDbqmTZsmf/zxhwl+zTXXSFpamllmpZIECLoqCZJqgk2AoMv7Ezmo5uE6sKPA+wFVtOemu0fL0j+XuGrv3rmHPPPA87L680xXr7IquiTVIhCSAtFqKMPI6JKm67Cr0xDmgCoRCfzazJkz5aeffjIbcsUVV0jz5s3NMisIIIAAAggggAACCCCAAAIIIBCcAtUadD399NOyb98+l0RsbKzcfvvtwakS6q0i6Ar1J0j7vQgQdDnD5O6q3qEK3Vvx3Ovj5cPPpro29e3ZTx64/VH58+2N7oewjgAChwXsQxnW65gk6Sc3wCdIBJYsWSIzZswwW3PSSSdJv379zDIrCCCAAAIIIIAAAggggAACCCAQnALVFnTl5+fLI488Yiq0bNlSRo4caZZZqUQBgq5KxKSqYBIg6LI9jSKRnG0HpTBPrQRoyc7JlknvvSZJtRPl/LOGSEKtBFn+/uYAtYbLIhD8ApG1RKITSobDa6mCrvoq8GIJvEBWVpaMH39oKFbdmm7dusngwYMD3zBagAACCCCAAAIIIIAAAggggAACpQpUW9C1c+dOeeWVVyQvL8/VoP79+0tGRkapjWNnBQUIuioIx2nBLkDQVfKEAjEfV8nVva/lZObJutnbvR/AHgQQkAiVc9VKVP86PG9Xx4uaSkLDGGSCQGDSpEmSkpLiGlpb/1FW48aNg6BVNAEBBBBAAAEEEEAAAQQQQAABBEoTqLagy2iE/mtZ/RMXF8f8XAZKZb8SdFW2KPUFiQBB16EHUZhXLDmZ+UHyVKzNKMovokeXlYQSAs4CKuSqpebtiogSiUmqJR2HNJHo2JKeXs4nsRUBBBBAAAEEEEAAAQQQQAABBBBAwC5Q7UGXvQGUq0CAoKsKUKkyGAQIukTy9xWKnpMrWBc9lOH66VnB2jzahUDQCUQnREhkrQhpeESyNO9XP+jaR4MQQAABBBBAAAEEEEAAAQQQQACBYBcg6Ar2J1SR9hF0VUSNc0JAoKYHXbk7CyQ/uzAon5QOuB5/7kGZt/B7GZg4TM46bVBQtpNGIRCMAlFxERIVGyHtBjWWpKZxwdhE2oQAAggggAACCCCAAAIIIIAAAggErQBBV9A+Gj8aRtDlBx6nBrNAjQ26/p+984CPqkr//pNkMpOekB4SIKGEEpoiCNK7omtFxN7b6hZ1i+vfsru6xd1X111dXV0LiL03iiC9KCASqnQSahIgpJNMZpL3PDd7LzOT6SW5987v7Afm3HtPec73nLm45zfPc1qJGiqaydLYotrpKd6xmR58/H7JvoHWC+jyCbMoOwNn26h2wmCY6ghEGiMosZuJ+l+TqzrbYBAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIqJkAhC41z46/tkHo8pcc6qmcQFgKXULkqi9vJmuTekUuXjb7SvbSXQ/dIq2g7i196abx90LokmjgLxDwngCHMMwb34W6jujifSWUBAEQAAEQAAEQAAEQAAEQAAEQAAEQAIEwJwChS48LAEKXHmcVYxIEwk7o0ojIJS/Oj7/6gNasX0mj+0ymAVEj5Nv4BAEQ8IGAIT6Sht7TgwymSB9qoSgIgAAIgAAIgAAIgAAIgAAIgAAIgAAIhC8BCF16nHsIXXqcVYxJEAg3oav+uJmsZqF2aTDtfPuIBq2GySCgDgLZI5Ipf0q6OoyBFSAAAiAAAiAAAiAAAiAAAiAAAiAAAiCgcgIQulQ+QX6ZB6HLL2yopH4C4SR0NYhwhWo+k8vTajm6rpKqDzZ4KobnIAACTghwCMOiG/MoPtvo5ClugQAIgAAIgAAIgAAIgAAIgAAIgAAIgAAI2BKA0GVLQy95CF16mUmMw4FAuAhdDRUWspyxOoxeW5fNdVba+/lxbRkNa0FARQTSByVSt9GpZEo1qMgqmAICIAACIAACIAACIAACIAACIAACIAAC6iMAoUt9cxK4RRC6AmeIFlRJIByErsZTFjILkUjLaV/JXvrb83+ipJPZNOOcqyg7I0fLw4HtINApBNirq9+sXDKlGMiUHNUpNqBTEAABEAABEAABEAABEAABEAABEAABENACAQhdWpglX22E0OUrMZTXCAG9C11Npy3UVKNtkYuX0gOP3UdbdhZTFEXTpTk30eRR0zSywmAmCKiLQNdRXSilZzzFCK8uYyLELnXNDqwBARAAARAAARAAARAAARAAARAAARBQCwEIXWqZiWDaAaErmDTRlooI6Fno4lB/Z4Q3lx7SY399mNZuXC0NZUTv0XTT4J/rYVgYAwh0OIG4LCPlT8mU+o3LjCZDbGSH24AOQQAEQAAEQAAEQAAEQAAEQAAEQAAEQEDtBCB0qX2G/LEPQpc/1FBHAwT0KnRZza1Uf9ysgRnwzsTiHZtF6MKnqLa+jv7x5AvUpTGbyjdVe1cZpUAABOwI9LwoU3h0GaV7iblGijBE2D3HBQiAAAiAAAiAAAiAAAiAAAiAAAiAAAiEOwEIXXpcARC69DirGJMgoEehq7WFqPZIE1Grvqf46LpKqj7YoO9BYnQgEAICqX0TKPu8FKnlCOHQlZhnIoLWFQLSaBIEQAAEQAAEQAAEQAAEQAAEQAAEQECrBDpE6NqxYwedPHmSUlJSpD89evTQKi9t2A2hSxvzBCt9JqBHoavumJlamnWucv1vpiF2+bzkUQEEyBAfRb1nZFGksS1soSEmkuKyokEmhARWrFhBK1euVHq4+eabKT8/X7lGBgRAAARAAARAAARAAARAAARAAARAQF0EOkTomjdvHh04cEAZ+RNPPKHkkQkBAQhdIYCKJtVAQG9CV2Olhcy1VjWg7TAb9s8vo6YqfZxF1mHQ0FHYE2Cxq/u4NCWEYUwXAxmTosKeS6gA7Nq1i95//32l+WuvvZYKCwuVa2RAAARAAARAAARAAARAAARAAARAAATURaBDhK45c+ZQaWmpMnIIXQqK0GQgdIWGK1rtdAJ6ErosZ1qooaK505mG2oCvly8g/jN6xDi66pJZ1GJuoYNLKiB2hRo82tcdgcjoCCmEYUrPeGls8TlGijIihmEoJrqkpITmzp2rNH311VfTgAEDlGtkQAAEQAAEQAAEQAAEQAAEQAAEQAAE1EUAQpe65iM41kDoCg5HtKI6AnoRulqFE5d0LpfqCAfXoH0le+muh25RGn3lmTnUO78PxC6FCDIg4DuBrqO6kCR2CY0rqRvO6/KdoOcajkLXzJkzqaioyHNFlAABEAABEAABEAABEAABEAABEAABEOgUAhC6OgV7iDuF0BViwGi+swjoReiqOyrO5bLo/1yu4h2b6cHH71eWy7N/fIGGFp0jXbNn17755WRpCK/QjQoMZEDATwLs2ZU/JUMKY4jzuvyE6KEahC4PgPAYBEAABEAABEAABEAABEAABEAABFRGAEKXyiYkKOZA6AoKRjSiPgJ6ELqaTluoqSZ8xJ07hUfXfuHZNWTAUHry4acpIT5BWVglIoRhQ4VZuUYGBEDAOwIsdvWakU3RCVFC8BLndSXivC7vyHlXCkKXd5xQCgRAAARAAARAAARAAARAAARAAATUQgBCl1pmIph2QOgKJk20pSICWhe6WoUXV63w5gq3xJ5dsieX7diPrquk6oMNtreQBwEQ8JJAYrcY6jYuXSqdKEIYRkR6WRHFPBKA0OUREQqAAAiAAAiAAAiAAAiAAAiAAAiAgKoIQOhS1XQEyRgIXUECiWbURkDrQlf9MTNZm/UfstDbdVOxtZpObqv1tjjKgQAIOBDoMTmD4rNNZIiNorhMg8NTXPpLAEKXv+RQDwRAAARAAARAAARAAARAAARAAAQ6hwCErs7hHtpeIXSFli9a7zQCWha6LGdaRJi+5k5jp8aOaw6foSOrTqnRNNgEApogEJdlFOd1ZUq2xucYKcoYoQm71W4khC61zxDsAwEQAAEQAAEQAAEQAAEQAAEQAAF7AhC67Hno4wpClz7mEaNoR0CzQpdw4qo90kStLe2GFFY3Ppn/gTTeaRNmSGd11Zc1UenSE2HFAIMFgWATyBuXRkndYilSHNOVkGcKdvNh2R6ErrCcdgwaBEAABEAABEAABEAABEAABEBAwwQgdGl48lyaDqHLJRo80DYBrQpdTdVWaqqyaBt+gNY/9teHae3G1VIrV148i+6/7RdSfufbRwJsGdVBILwJJBfEUe4FqRKEuHQDGeKF4oUUEAEIXQHhQ2UQAAEQAAEQAAEQAAEQAAEQAAEQ6HACELo6HHkHdAihqwMgo4vOIKBFoYu9uGoPN3UGLlX1+cBj99GWncWSTUMGDKV/PPlvKb/n0+NkabCqylYYAwJaIhAZHUH9ZuW2mSwiFyZ1E15diGAY0BRC6AoIHyqDAAiAAAiAAAiAAAiAAAiAAAiAQIcTgNDV4cg7oEMIXR0AGV10BgEtCl2NJy1kroeQM/f912juB69Ly+bmWbfRzdfcLuVLllSIs8vMnbGc0CcI6IZAj8kZFJ/dFrbQlGwgUwq8ugKZXAhdgdBDXRAAARAAARAAARAAARAAARAAARDoeAIQujqeeeh7hNAVesbooVMIaE3oamlupbpjEHHkxbJm/WrKzsqm3vl95FtUsbWaTm6rVa6RAQEQ8J1A+qBEyhycrFRMFGd1RUDrUnj4moHQ5SsxlAcBEAABEAABEAABEAABEAABEACBziUAoatz+YemdwhdoeGKVjudgNaErobyZrI0itiFSC4JVB2op2Pfnnb5HA9AAAQ8E3AUukxJUWTqYvBcESWcEigrK6NFixYpz8aPH08FBQXKNTIgAAIgAAIgAAIgAAIgAAIgAAIgAALqItAhQhdvGDQ2Niojz8/PV/LIhIAAhK4QQEWTaiCgJaGrVUQrrD2Cs7k8rZv6siYqXXrCUzE8BwEQcEOAPbi6jc+wK5HUHWd12QHBBQiAAAiAAAiAAAiAAAiAAAiAAAiAgG4JdIjQpVt6ah0YhC61zgzsCpCAloSupiorNVVbAhyxPqvX1dfRug2raUjRUMrKzKGdbx/R50AxKhDoIAJxmUbKn5pp11tsmoGiExC/0A4KLkAABEAABEAABEAABEAABEAABEAABHRJAEKXHqcVQpceZxVjEgQ0I3S1EtUcFt5c4hPJnkB5xXG681e3EItdCfEJ9M5LH1P5ijpqqoIoaE8KVyDgPQFnQlek0LgShKcXEgiAAAiAAAiAAAiAAAiAAAiAAAiAAAjonQCELj3OMIQuPc4qxiQIaEXosjS2UkO5GXPmhEDxjs304OP3K0+e/eMLlHYyD2EeFSLIgIDvBJwJXdxKfI6RoowRvjeIGiAAAiAAAiAAAiAAAiAAAiAAAiAAAiCgIQIQujQ0WV6bCqHLa1QoqC0CWhG66o+ZydoMdy5nq4s9uu546Baqb6ij+LgE+seTL1BSTSad3FbrrDjugQAIeEHAldAVHRdFsRkGL1pAERAAARAAARAAARAAARAAARAAARAAARDQLgEIXdqdO9eW61ToahW6QdnJKpfj5t+sx8UYxeZ5DEVFRboshwfaJaAFoavVSvBO8rDE2Ktry/YfaPT546h3fh+qL2ui0qUnPNTCYxAAAVcEXAldXD6puwhfCKcuV+hwHwRAAARAAARAAARAAARAAARAAARAQAcEIHTpYBLbDUGnQpe52UK3/e6ldsN1diMxPpYKC3JoQK88uuDcQuJrJO0T0ILQ1VRtxXlTPi61FnML7frwmI+1UBwEQEAm4E7oihMeXQbh2YUEAiAAAiAAAiAAAiAAAiAAAiAAAiAAAnolAKFLjzMLoctuVo3RBpo0ciBdOW0ExcWKX7YjaZaAFoSumkNNRIha6PMa2/PpcbI0CHc4JBAAAZ8JuBO6Ig0RlJBr9LlNVAABEAABEAABEAABEAABEAABEAABEAABrRCA0KWVmfLFzjAQuuLjTHT9pWPtqJw5Y5ZCG5adrKbyk6fp5Olaamk5qzhkpSfTA7dcQnnZqXb1cKEdAmoXulotrVR71KwdoCqwlM/s4nRmSxQ1VICdCqYEJmiQgDuhi4eT2M1EEYjoq8GZhckgAAIgAAIgAAIgAAIgAAIgAAIgAALeEIDQ5Q0lrZUJA6ErNSWB/vXorW5n5nR1Pc37fBVt2LpPKRcjzvD6489nUdfMLso9ZLRDQO1CV3Odlc6csmgHaCdb+vXyBfT0C3+SrHh01tOUbcl3aZHF0kx19XUun0dERFCMKYaMRrGhL/L+pm0/FtO+A3upf98i6td7gL/NoB4IdCgBT0JXXJaRDDH+fy86dDDoDARAAARAAARAAARAAARAAARAAARAAAR8JAChy0dgmigOoctumrbtLqU3PllBFadqpPs5GSn05C9ni03xaLtyuFA/AbULXfXHzWQ1n/UiVD/RzrXwgcfuoy07iyUjRvQeTTcN/rlLg0qPHKT5S75w+Vx+wCJXQnwidc3Oo25du1Gvgj4UFend+URmcxO9/u4rwhO0hYzRRrr12jspKsogN41PEFAtAU9ClzEhimLSsJZVO4EwDARAAARAAARAAARAAARAAARAAARAICACELoCwqfSyhC62k3MkfJKeuSZd6UNbH7I53VdOe38duU83eAN8BOVtVKx5MS4ThPLzjSaqVJ4rCUnxlJCXIwns3XzXO1CV02pOJ8LyWsCj/31YVq7cbVUfsywCTS7x70u63ordDk2EB+XQOcMOpcG9R/q0dOrsekMvfHuq9Ta2kIGQzTdJoQu/kQCAbUT8CR0cdhCDl+IBAIgAAIgAAIgAAIgAAIgAAIgAAIgAAJ6JAChS4+zCqHL6ay+9cVqWrSqzXskLtYkhT505tX1yvvf0O6Dx2hQYXe65coJUlsnKmvok8UbaN3m3WS1tijt//epuylWhEPktGbTLvp0yQYpf8nEYTTx/CIp7+6vRau20JJ1W6QiN1w2ls7pX+Cy+L7SMvro6/VUcrRChHBrVMpxOMbkhFjl2jbTv1ce3XH1JNtbms6rWejC+Vy+Ly0+n2vO+69JFe+77Zd0bHEtWRqsThuyFbqyM3JoQN+BduUaztRTVU01VddUiT+nqeFMg93z7rn5NHXCdDIZ3QvD3xevp937d9OgfoNocNE5dm3gAgTUSsCT0MV245wutc4e7AIBEAABEAABEAABEAABEAABEAABEAiUAISuQAmqsT6ELqez0ii8oB56eh5V17ZtgN93/XQadU5hu7JP//cL4nCHhQU59Ph9MyXR65nXvxIb5/beOklCXHrx93co9Rev2UpvfrZSup598Wi6ZOK5yjNXmY+//k6IYxulx67saRWR8F55fwmt/n6X0gyHZ4uPM9kJXspDmwwLZw/dfonNHW1n1Sx0Weqt1HAS53MFssIOrzxBtUfsv2dye7ZCV2Gv/jRl3DT5kdPPshPHaeXa5XTq9AnleVqXDLrqkqvhpaUQQUYvBLwRuuLFOV1ROKdLL1OOcYAACIAACIAACIAACIAACIAACIAACNgQgNBlA0M3WQhdLqfy1Q+X0Yr1O6TnE0cW0e0z23s7yUJXdnoy/fqOy+iRf7xLTU3NIkxgHA0QHlIFeZnUaDaLs3ui6LLJ5yl9hUroWriymN7+si28W152Kt10+XgqzM8Rm/VRZG620LY9h+ht4a0mn0E2dfRgGntef0pPSaDEhDgRrk0xUfMZNQtdZ05YqNmFN5LmwXfQACq2VtPJbW2hQR279FXo4vocgnDbj1to/aZvqdnSLDXZp2dfmjr+QsfmcQ0CmibgjdBlSjaQKcW78+o0DSMIxldVVdGWLW3e1txc//79KTMzMwgtowkQAAEQAAEQAAEQAAEQAAEQAAEQAIFQEOgQoWvRokVUXl6u2H/zzTcreWRCQABCl0uo85f/QO/OXys975aTRn956Lp2ZWWhy2iMptysLnTwcAUNH9SL7p491e2ZXKEQuqpqGuiXf55DFouVEuNj6ZmHbyQOu+iYTp6upV//7S1qFsIXi2E8Lvb60ltSs9BVc0h4IgnvOyT/CdSXNVHp0rMeWLYt+SN0yfV37NpGK79dJl/SZRddRbnZecp1oBk+24tDJZqMJvH9ZHFZHIjkZ+IQjHwWYEJ8op8tnK1mbbFSfUMdxZpiKTq6LcTq2afe55otZuE9WkdRkVHCkzReiPwG7ys7lAzm+ByaDutLb4SuyOgISujq/zoIJ8AlJSU0d+5cZcgzZ86koiLP4YiVCsiAAAiAAAiAAAiAAAiAAAiAAAiAAAh0KIEOEbrmzJlDpaWlysCeeOIJJY9MCAhA6HIJ9fvt++m5OQuk546hB+VKstAlX48Z1o/uuXaqfOnyMxRC1+adB4nDJnKaeeFIunzKcJf9v/L+Ulq1caf0/K+/ul4SvFwW1ugDtQpdwnGIag87D7mnUdQdajaLKC++8U9asnwJzep2F40ePq5d/4EIXa0i/udHX7xHJyorpHbzcrrTpRde0a4PvvHuJ/PIKoQmFnSumDHTaRn2FNtfso+27iimkyI0osVyNmSlFFY0Np66iTPBeub3pLyu3SWByGlD/7vJQlzJ4YN04lS5crZYjCmGONRi3979qF+fAe6qK8+amhrF+WI/0oGS/SJEa7UkcskPTaK91JQ0GjZkOHXP7SHfdvl5vOIYbdm+mY4eP0xNZvu1zbblZOVSQY+eVNCtJ3Hb7lKwxueuj3B/5o3QxYySuosfSujvNxBBn34IXUFHigZBAARAAARAAARAAARAAARAAARAIKQEIHSFFG8nNQ6hyyX4I2WV9PD/e1t6HhkZSW/+7b52ZW2FrpgYIz372xspSYQt9JRCIXR9uWwTvb9gndT1L26eIXmWubJjwYrN9M5Xa6THrs77clVXK/fVKnS1NLdS3TGzVjCqzs7iHZvpwcfvl+waYh1LV029VhJlbA0NROjidspPlNHHX72vNHnL7DuE91W8ci1nXp77ghC6rJQQl0A3XXO7fFv5NAvR57OFH9PJSueeZ0rB/2WmTbiIehcUOt6WrrmtZauX0IFD+50+l2/2yu9DE0ZPEh5jrgWlTVs30veb10u2y/VcffYR9kwVdrlKy9Z8Q7v2toV4dVVGvj+g7yCacEH7ELD8PJjjk/vDp3MCqX0TKPu8FOcPbe4m5pkoAtELbYg4z0Locs4Fd0EABEAABEAABEAABEAABEAABEBArQQgdKl1ZgKxC0KXS3pVNfV0/x9fV56/+bf7KTLS/ufttkLXxRPOpWsvGa2Ud5cJhdD1ljh7a9GqYqnb3955KQ3q69oTY8nabTT30xVS2TuvmUzjh3vnBeJuTGp7plahy9LYSg3lELr8XS/7SvbSXQ/dIlXvYx1K10y4hbIzcuyaC1To4sbe/miu8HSqktrlc7r4vC7H5Eno+nzhJ3S07LBULTM9W3hb9afkpGQpNGC98EyrrasVXlBH6MixQxQbE0s3zrrVaSjDM41nJOGtRnheceqSnCba6kdpqRnibLFWOiWEtO0/bqU6EXqQU7q4f/Wl17oMSbr3wG5asnKR9Jw91nJzcoVdKRQnPNPqhE2HjpRK3l5SY+IvV+PfWPwdbRSCGScOnzigsIgy0jNF2NZYYpvr6mqo/GSF8EA7IM4ubKRrr7iRuqSkSuVt/wr2+GzbRr49gfRBiZQ5OLn9A4c7HLqQQxgiuScAocs9HzwFARAAARAAARAAARAAARAAARAAAbURgNClthkJhj0QulxS3H3wGD3574+l57HCW+u/T93drqyt0PXT66fTBec498ZwrBgKoWvRqi301herpK5uuHQcXThuiGO3yvWbn62ixWu2SNdPPTCb8nMzlGd6yahV6Gqut9KZk2fD1+mFd0eO4+nnn6I1G1bTrJE307CU4IYulMcxf/HnVHq0RLoc1H8IjR05QX6kfLoTulgkY7GMU74I2XfR5EtcCk/mZrMQvWpE+MF0pW3bzOrvVtC2H9u+r/0LB9K4kePbnX3FQtLCpfPpWPkRqSp7TrEHlbPUIrzQirf/QIW9+rk832vHbnFW2bplUvXkpC50/VU3tWvqzfdfk8S1hPgkmnXZbEngaldI3ODwjRVC8MrKyHb2mII9Pqed4KZCwFuhKz7LSFExELoUcC4yELpcgMFtEAABEAABEAABEAABEAABEAABEFApAQhdKp2YgMyC0OUS34oNO+nVD5ZKzzNSk+gfj9zcrqyt0OWLYBQKoev4iSr6zd/miU1louz0ZPrLQ9cJzxFDO5vrG5rooaffpLr6RuFFYqSXfn8HGQz6i0+lVqGrqdpKTVUQutotTD9u1Jc1UenS9mEBg+HRZSu+9M4vpGkT24fvcyd07dm/i75Z9bU0qinjpglRqb8fIxTnuQkB7O2P51KLOAuMz8265vLrnHp9ceNV1afp3U/5HdAqeYjdMPMWyXvMn465De6Xvcj4LLG7b2KP1kilqXrhPTZXCF2c+vUpokljpijPfMl01vh8sVFvZb0VumLTDRQdr79/G4I9nxC6gk0U7YEACIAACIAACIAACIAACIAACIBAaAlA6Aot385pHUKXS+7vfbWWvlrxg/R8YGF3eviuy9qVtRW6nv3dzZSZltSujLMboRC6uJ/n5y2i9Vv2Sl3275VLN142jrp3PeslcvBIBc35ZAXtP1QulfnZjRfS+UP6SHm9/aVWoatReHOZhVcXUnAI7Hy7zYPJtrVgCF3bfiwWnkYrpWbzcrrRpRdeaduFlHcndB0tO0Kfi/O5OA3sN5jGjZoo5X39y/YMrBlTLhXeYQVum1iw5EsqOXJAKsM2s+3+pkXL5tOB0n1S9euER1eK8OySE59N9uq8l6RzvlJT0mn2FdfLj3z67Mzx+WSojgp3HdWFUnq2P3POcYgxXQxkTILQ5cjF8RpClyMRXIMACIAACIAACIAACIAACIAACICAuglA6FL3/PhnHYQul9z+/uqXtGVXifT86otG0WWTz2tXtiOFLtszuO4TYRJHOQmT2NjUTE+++LEIuXbWyyVGeG11SYyjSnHmWJN4zok9My6dNIxmXjiy3Zj0ckOtQldDeTNZGlv0grnTx7F/flk7D7lgCF22Hlk5mbl0xcUz243VndBltVro1bf+IwlB7BE1ctgFdM6gYaIN30LBvfvJW3S6+pTkVXXHDfdQtMHYzg7bG+s2rpbCEvI9FtdYZPM3rV6/krbtbDv37/IZM6lrVq5dU58u+IiOlx+V7rHX26SxU4R3aLRdGU8XnTk+T7bp9XmPyRkUn23yODyTELlMQuxCck8AQpd7PngKAiAAAiAAAiAAAiAAAiAAAiAAAmojAKFLbTMSDHsgdDmlyB5Pv3/+QykEGBf4/c+upt492p8v05FC1/NvLqT1W9u8K1wJXWyr1dpCL76zWPHs4ntyShaCV9+CrpLA1TXzrHeG/FxPn2oVuuqPmcnaLOJLIgVMoLziOM195l2Kr02l4UPPV86bCobQ9X3xetqw+TvJxgI+Y2vKT9rZ607o4sI/7tlBy9d+o9RLSU6lIUVDqbBnXy9DCrbSK2++SBYhmiXEJ9KU8dOVtlxl9pfsU8SpwQOG0pjzx7sqanefQxVyOMKGMw1SfyzU7fhxGx04tF8q50zoOnGqgr5Y9Ak1mZukMjGmWBrYfzANKCxS5sKuk3YXHTe+dl2H8Q1vha7ouCiKzYDQ5WmpQOjyRAjPQQAEQAAEQAAEQAAEQAAEQAAEQEBdBCB0qWs+gmMNhK52HFtaWunR596jQ8dOSs8K8jLpyV9e064c3/BX6Fr67XZ64+PlUpvsVXX5lOFO27e9+YcXPqS9JWXSLXdC15pNu+i/4mwxozif657ZU6lHbgY1mpspIyWRTCbfvC1s+9daXq1CV92RJhJR35CCQOCBx+6jI9srqFfLQOqZ35vGjGgTdYIhdC1Z+TXtPbBLsrJv7wE0eezUdhZ7Erq4wq69O0UIxBXUbGnzpuR77PXEYtdgIXrxuVuuku05WK7KuLvfq0cfmj5phtMi5mYz7dn3I7EwVl1bIwSuOukcMKeFxU1nQheXrThVTouWzhdn/tUqVdmDrXtuPg0aMER89lDuO2ZCOT7HvnB9loC3QpchJpLissLn34yzhHzLQejyjRdKgwAIgAAIgAAIgAAIgAAIgAAIgEBnE4DQ1dkzEIr+IXS1o7pgxWZ656s1yv0Hbr2YhhX1VK5tM/4KXVt2ldLfX/1CamrC+UV0x9WTbJttl29sNNP9T71B/MnJldB1/EQV/frpeVIZd3ZLBXT+l1qFrppDwvulVefwO2h4LHT9uGMXDbWOo6yMHJo+sU3UCYbQ9dGX71HFybaz7M4/dxQNGzKi3ai8Ebq40pnGBtq8bZMkejU2Ndq1k5fTnS4YMYbSUzPs7vPF8Ypj9On8D9vd9/ZGz+696cLJF9sVZ88tDm+4Y/d2stiIb1zIYDBQXGyCEMmjRYjEaCGAVQsBrF6q70ro4od8XteOXdto249bqbrmtFRe/quL8GIbce5I6pXfR76lfIZifErjyLgk0POiTIpJdR8CkytHRUdQfFfP5Vx2FCYPIHSFyURjmCAAAiAAAiAAAiAAAiAAAiAAArohAKFLN1NpMxAIXQqM6toGem/+WmKPKLEXLKWx5/Wju4VXlKvkr9BVJgSpX/1PkOreNZ3+/OC1rrqQ7n+xdBN9sHCdUsaV0DV/+Q/0rhgDp//84U4RPixGqRNuGQhd+p/xNetX0+N/e5hGRV5Ik0dfSNlC7OIUqNDV2tpCr73zMpnNbcLyFTOuppysru2Aeit0yRVZENp/cA9t3bFF8oSS7/OZeRcMH0scatA2VVWfpnc+eVO6lZWeTTOmtg+faFveMR8VGUVGo/1ZTCvWLaOdu7dJMxUNOQAAQABJREFURU3iWR/hWdanV19KFYKUyWT/vli25hshzu2QyroTumz7PXL8MG3fuYUOHj6ghH7l53179aeJYyaL8wGjlOKhGJ/SODIuCQy4Ps/lM9sHUaZIcZYXPLpsmTjLQ+hyRgX3QAAEQAAEQAAEQAAEQAAEQAAEQEC9BCB0qXdu/LcMQhdV1TTQuh920yffbFA8phhon/wc+r97rhBeDmc3Zh1B+yt08Tladz/+CjU2tYUz++n10+mCcwodm5eudx84Ss/OmS/Oz2k7B4dvuhK6ln23g17/aJlUjz3Frpw2glLEuVy8kR5uSa1CV91RM7VY4NIVrPVYV19Hp78/Q7UiJKScAhW6Nm/7nr79vk0wjhbeTbdfd7edQCP346vQJdfjz7ITx+nbDWskry35/mUXXUW52WdFiJaWFnr5zX8LwaiFYmNi6dZr75KL+vW5T4hsi1cslOrGxcZJ4QhTklyf1WcbvtFboUs2rLauhjYWb1CEMr4//JzzxVlqI+UiUqjEYI5PaRgZtwS8FboQutAtRuUhhC4FBTIgAAIgAAIgAAIgAAIgAAIgAAIgoAkCELo0MU0+GhkGQldMjJGmjhqkgLGKzeMTlTVUdrKKyk/VCK+Ns2fnyIUmjRpIN102zq3IxWX9Fbq47sKVxfT2l6s5KzbRI2ja6CE0YnAvykpPofozTWID/DRt23OI+DwvceQN9S3oSj/uPyqVdyV01QivtEf+8Z4Q79rCjUmFxV9cX04mYzSli/O60lOTaPSwvjRySB/x3KaAXFDjn2oVuurLmsna1KJxuuoyv2JrNZ3cdvaMqECErlpx1tS7n8xTwvoNHXiu5G3lbMSBCF1t7XEYwTVUvP0H6bJHXgFdPPVSu67e+mgu1dRWSfduv/5uMhntva7sCnu4sPXmGj9qEhX1O/tedFb1oy9E+EZxBhcnX4Uuub2Dh/bTomXzJe8uFg3vvOFe8ejs+yaY45P7xKdrAnGZRsqfmum6gM0TY0IUxaQZbO4g64wAhC5nVHAPBEAABEAABEAABEAABEAABEAABNRLAEKXeufGf8vCQOjyBU5Rn2506aRhxJ/epECELvbW+MO/P6L9pW0bya76Mwph6uc3Xig2uA30p5c+lYq5Ero45OK6zbvpP+8usQsb5qptvt81sws9eu+VlCQ8v/SU1Cp0nTlhoeYGq55Qd/pY6suaqHTpCcUO/4WuVlqw5CsqOXJAaisqKopuvPpWcW5VvNK2bSZwoUsc1ya+tK+98x8pTGJCfCLdNOs22y5owTdfUokIA8hpzPnjRHjDc+ye+3Lx/mfv0KnTbZxmXXad03PB5PbYi+zVt/9Dzc1tPwTwV+ji9uYv+UIKJ8l55pmYkMRZKQVzfHKb+HRNwBehy5RiIFOya49m172E15OqqioqLi5WBj1gwADKzPROTFQqIQMCIAACIAACIAACIAACIAACIAACINBhBDpE6Oqw0aCjNgJhKnQZow0UH2eihLgYystKo0LhLVXUJ08SfXxZGoEIXdxPS0srLV+/gz5ZvJ74jDDblJQQSz27ZdFV00dSQV6G8OpooJ/+4TWpiDOhq+ToSXph3gLhqVZNUVGRVChCL2amJQuB7OwZKxarlRpECMRT1bW0/1C51D832L9XLj0iwjTqybNLrUJX02kLNdVA6LJd64HmW8wttPi5b+nwsVLq1rWHFOqPxRVOheJsqCnjpnns4sSpClr97QoppKBceNKYKdSvT5F82e4zGEIXNzrnvf9Sw5kGSXhiAco2Ha84Rp/O/1C6xWdq3TDzlnZnadmWd5fndrg9TldcLM4dy2x/7phc/4etG+m7TevkS789uriBxcsX0r6SPVJbd1x/j925YcEcn2IsMi4JpA9KpMzByS6f2z6IFd5c0cKrCwkEQAAEQAAEQAAEQAAEQAAEQAAEQAAE9EQAQpeeZlMei06FLnl4Wvqsq28UoRSrqaa+gbplp1N6l0SvzT9afpoefe494X1hEWeLZYszvC70WP90dT09+eLHIjRZtdTPXx66jrrlpHndp9oLqlXoMtdaqbHSonZ8mrJvX8le+tcvX6G41gSKNhrp3EHn0dJVi6UxuBO62Gupuraairf9QD/u3WHnBTmk6BwaPWKcWw7uhK7T1ZVSe6kp7r9TJYcPCq+tNlFuQN9BNOGCSe365LHs3v+jdD8rPZsmj59G7s7WslotQrArszvviyvbhi4c2G8wjRs1sV1ffOPwsUOSTVYhjMvJ0aPL3GymipPlUh/uBHIOBfnh5++I8wgbKVmcB3b9VTfJTSqfwRqf0iAyLglkDUumtH7e/dsSl2EgQxyELpcw8QAEQAAEQAAEQAAEQAAEQAAEQAAEQECTBCB0aXLaPBgNocsDIG08/vurX9CWXaXSmWLP/u4mSk1O8MrwxWu20pufrZTK3nPtVBozrJ9X9bRQSK1Cl+VMCzVUtD8XTgtM1Wpj8Y7N9Pz//YcyWts8lFikWruh7fw7Fpp6dMtXTOdQfDW1NVRdU0W19TXCq7FFecaZqMgoGjNyPBUJ0clTcid07dq3k5atXkIZaVnUp2cf6iLsSE5KFl6kCcQiUU1dDe0/uJe279pKLChxmEQWk1jIckzs7fXep/MksYifGQwG6l84kDJSM0S7qdQq/tfQUE91QlQ6XnacSo+WUGxMrBQm0LatY2VH6bOFHym3WOzic7qSRCjBhsYGOl11mvbu3017D+6WOBR076V4YjkKXbXC/nkfvkEcbrGwV1/J7sTEZBECNUkwtVK9sOfQkRLatnML1TXUSX2OFVwH9R+q9C9ngjU+uT18uibQY3IGxWebXBeweRKfY6Qo49nz1GweIQsCIAACIAACIAACIAACIAACIAACIAACmiUAoUuzU+fGcAhdbuBo4xGfy3W72OQ3m5upoFsmPfmLa7w2fO0Pu+mld9o8XyB0eY0toILWplaqLzMH1AYq2xOoq6+jn95xH3Vt6CkJSgMKi+jr5QvsC3m4ioyMFIJUPxo2+DxKSe7ioXTbY2+ELm8aYo+oqeMvpN4FhS6L1wuxaMXaZcpZVy4L/u8Bn4PF52E5pjXrV9LWnWfPE3J8ztcs9k2bcBElJCTSh1+8KxVxJXQ5q+/snjsPMi4frPE56xv3zhLoeVEmxaQaz95wk0vMNVKEAUKXG0R4BAIgAAIgAAIgAAIgAAIgAAIgAAIgoEECELo0OGkeTYbQ5RGR2gtYrS102yMvCa+QFupbkEOP3TfTa5Nf/XAZrRBnhHFiTzA+00svSa0eXa2WVqo9CqEr2OvsdEUNbX5nN7EH1/HyoySf0eWsH2O0UZwTFSN5PWWkZ1LXrBzKE2d7xcXGOSvu8p47oetM4xn6cc922rN/D1VWnXTahiHKQH1796ehA88V3l4pTss43twtPMW27dxKlSI0osXS3jMwXniM9ezRi3r3LHR5BtfeA7vp241rFE8ruQ/2AstKz6FRw0e3eYqJ0I7/nfcSWUQoREehiz3h9uzfJf7spqNlh+3CPsrt8WePvAIaOujcdmEUbcvY5oMxPtv2kLcnMOD6PPsbbq4Su5koItJNATwCARAAARAAARAAARAAARAAARAAARAAAQ0SgNClwUnzaDKELo+ItFDg8X++TwcOV7SFLnxYhC5M8Ry6cNP2A/SveQslgSwlKZ5eePw2LQzVaxvVKnSJKHNUc6jJ63GgoPcEdn1wlFqaBWCVpcamM8Th+fiP2dxEsUJQSxQh/+Lj4inCbyWhVQp/WHm6ktgbjUU6Fqq4TSJvvHBaRajDOqoSIRz5rLK0Lhk+C30y5maLWQpVyONramyUzknj8SXEJ4iQjAa5mI+fgY7Px+7CoDift1V4RY7XI03q4V2IQ68bREEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQUAEBCF0qmISgmwChK+hIO6PBBSs20ztfrZG6zkxLousvHUtD++WLTWb7n+NzmMPdB4/Sqo27aM2mXdL5RMZoA/3u7supT773G6CdMUZf+1St0CUGUnu4iYS2gBRkAodXnqDaIxARg4wVzemEQFymkfKnZno1mihTpDjLK9qrsigEAiAAAiAAAiAAAiAAAiAAAiAAAiAAAloiAKFLS7Plra0QurwlpfpytmEI2diYGCOlJydQYkIsNYrzu2rrzlC1+NPcbFHGYjJF0y9uuogG9+2h3NNLRs1CV2Olhcy1Vr2gVs04KrZW08lttbS/ZK9kU6/8PqqxDYaAQGcTSO2bQNnneRciMybVQMbEqM42Gf2DAAiAAAiAAAiAAAiAAAiAAAiAAAiAQNAJQOgKOlIVNAihSwWTEBwTWoW71oZt+2nxmi20+8Axt432yM2gSSMH0uhz+1KMELv0mNQsdFnOtFBDRfvzlfQ4Dx05pvqyJnr7Lx/RgZJ9UrfDh55P/QsHdqQJ6AsEVEsgb1waJXWL9cq++BwjRRm9CYHpVXMoBAIgAAIgAAIgAAIgAAIgAAIgAAIgAAKqIQChSzVTEURDIHQFEaZ6mqqsqqMTp2uosrqOqmvOiDOBjNQlKY5SEuOJz+NKEl5eek9qFro4bCGHL0QKPoF/3PEKlZ84LjWclZFD0yfOCH4naBEENEig39VdKdJoH87W1TCSuovzuaBzucKD+yAAAiAAAiAAAiAAAiAAAiAAAiAAAhomAKFLw5Pn0nQIXS7R4IG2CahZ6GKyNYeE0CXOTEMKLoEXH36NDv14RGq0X2ERjRg6MrgdoDUQ0CABQ1wUFV7h3TmMkYYISsg1anCUMBkEQAAEQAAEQAAEQAAEQAAEQAAEQAAEPBOA0OWZkfZKQOjS3pzBYq8IqF3oaqiwkOUMzunyajJ9KFSy5jhtWrKF4uMTqXuu/s6e8wEFioKAQiC5II5yL0hVrt1lTCkGMiXjfC53jPAMBEAABEAABEAABEAABEAABEAABEBAuwQgdGl37lxbDqHLNRs80TQBtQtdOKcrNMur5vAZOrLqVGgaR6sgoFECXUd1oZSe8V5Zj/O5vMKEQiAAAiAAAiAAAiAAAiAAAiAAAiAAAholAKFLoxPn1mwIXW7x4KF2Cahd6MI5XaFZW811Vtr7edsZXaHpAa2CgPYI9Lwok2JSvQtHiPO5tDe/sBgEQAAEQAAEQAAEQAAEQAAEQAAEQMB7AhC6vGelnZIQurQzV7DUJwJqF7p4MHVHzdRiwUFdPk2sF4X3fHqcLA1WMjebqbLqFGVneHc2kRdNowgIaI5AZHQE9ZuV65XdhthIisuM9qosCrURKCsro6+//lrBMX78eMrPz1eukQEBEAABEAABEAABEAABEAABEAABEFAXgQ4RuubMmUOlpaXKyJ944gklj0wICEDoCgFUNKkGAloQuliMaThhUQMuXdlwdF0lHdx8mJavXUr19bWUmpJGl0y7XFdjxGBAwFsCiXkm6jY+w6vi8dlGijJFeFUWhdoIlJSU0Ny5cxUcM2fOpKKiIuUaGRAAARAAARAAARAAARAAARAAARAAAXURgNClrvkIjjUQuoLDEa2ojoAWhC4Szlw1h5pUx07rBlUdqKfvPiqmFWu/UYYybeIMeHYpNJAJJwJen88l9C0pbGE4wQnCWCF0BQEimgABEAABEAABEAABEAABEAABEACBDiQAoasDYXdYVxC6Ogw1OupYApoQugSSxpMWMtdbOxaOzntrrDTT9+/+SF8t/kwZKXt0sWcXEgiEG4F+V3elSGOkx2GbUgxkSo7yWA4F7AlA6LLngSsQAAEQAAEQAAEQAAEQAAEQAAEQUDsBCF1qnyF/7IPQ5Q811NEAAa0IXS3NrVR3zKwBotoycdcHR2nv3t1UevQQDS06ByKXtqYP1gaJgC9hC7lsBHQun8lD6PIZGSqAAAiAAAiAAAiAAAiAAAiAAAiAQKcSgNDVqfhD1DmErhCBRbOdTUArQhdzqjtqphaLiGOIFDQCh1eeoNojCAsZNKBoSJMEvA1bGGWKpPjsaE2OsbONhtDV2TOA/kEABEAABEAABEAABEAABEAABEDANwIQunzjpY3SELq0MU+w0mcCWhK6LA1Wajhh8XmMvlQ4dKSEautr21XpktSFsrNEaLNIz6HN2lVW8Y1Tu2qpfFO1ii2EaSAQWgKR0RHUb1auV53EZxspyiQO6ULymQCELp+RoQIIgAAIgAAIgAAIgAAIgAAIgAAIdCoBCF2dij9EnUPoChFYNNvZBLQkdJFw5qo5LLyPQujUdc9Dt9HKb1c4nRZjtJG65+VTQfd8uuon19D4CyY6Laelm/VlTVS69ISWTIatIBBUAskFcZR7QarnNoW+ldTd5LkcSjglAKHLKRbcBAEQAAEQAAEQAAEQAAEQAAEQAAHVEoDQpdqpCcAwCF0BwENVNRPQlNAlQDZVW6mpKnReXe6ELsd5nDh6Mj3ywGOU17W74yNNXe98+4hk7/6SPbSheL2Unzh6CmVn5GhqHDAWBPwh0OeyHIpO8HzoVmy6gaLjPZfzx4ZwqAOhKxxmGWMEARAAARAAARAAARAAARAAARDQEwEIXXqaTXksELpkEvjUGQGtCV2tLUS17NUVouQodJmMJilcodlsJmuLtV2v/PyD1z6lwl792j3Tyo2SJRXUUGGmNz94TTE5L7cHTRJiFxII6JlAXKaR8qdmeh4ie3N1E95c4hPJPwIQuvzjhlogAAIgAAIgAAIgAAIgAAIgAAIg0FkEIHR1FvlQ9guhK5R00XYnEtCa0MWozLVWaqwMjVeXo9C18P2llN+tgJqbm6n0yEH6oXgTPfvy36m6pkqZtaK+g+j91z6hqMjge3vUN9RT5emTlJ3ZlaKjo5U+g5mp2FpNJ7fV0tfLF1D5ieNS01nCm2v6xBnB7AZtgYDqCPSYnEHx2Z7DEcZlRpMhVl/n83X0ZEDo6mji6A8EQAAEQAAEQAAEQAAEQAAEQAAEAiMAoSswfuqsDaFLnfMCqwImoEWhi8/oqjvaRE4crALm4Urosm345KkKuv7e2XToSIly+6F7f0N33HiPcu1L5qe/vpOKt2+Wqrz87Gs0qP8QWr5mKb314VzaKEIJssj25r/fpeHnnO9Ls16Xlc/pqqw6RRs3r6doo5HGjBhHfCYZEgjolYC33lyRhghKyMV3IdB1AKErUIKoDwIgAAIgAAIgAAIgAAIgAAIgAAIdSwBCV8fy7pjeIHR1DGf00uEENCl0CUrWxlaqLzcHnZc3Qhd3unDpfHrwsZ8p/fM5XUs+WqFc+5K5QYhmm7ZskKr8+r6HqWd+b7r/4XvIaj3rtfbVO19Tr/w+vjTrU1n5nC6fKqEwCGiYQN64NBGOMNbjCBK6GikyGjELPYLyUABClwdAeAwCIAACIAACIAACIAACIAACIAACKiMAoUtlExIUcyB0BQUjGlEfAa0KXUyyobyZLI3i0K4gJm+FrtbWVhpz8XCqrKqUeo+MjKRNS7dTjCnGZ2tsha4eIkxiecVxamxqtGtn7fyNlNolze5eMC/kc7qC2SbaAgG1EvDWm8sYH0Ux6Qa1DkNTdkHo0tR0wVgQAAEQAAEQAAEQAAEQAAEQAAEQIAhdelwEELr0OKsYkyCgZaGr1UpUe6QpqPPordDFnV5zx5W0dWex0v8nc76k/oVFyrW3GVuhS64THxdPl154hfDi6i1CNFrpuqtvCskZYHJ/8jld8jU+QUDPBHpelEkxqR7CEQonrsQ8E0XgaK6gLAUIXUHBiEZAAARAAARAAARAAARAAARAAARAoMMIdIjQtWjRIiorK1MGdcsttyh5ZEJAAEJXCKCiSTUQ0LLQxfyaqqzUVH02xF+gTH0Ruh589Ge0cNl8pctnn3yeLpp8sXLtbcZR6MrN6UbvvfIRpadleNtEwOXkc7rkhjYWf0eHjh6i3kJoG1J0rnwbnyCgeQLJBXGUe0Gqx3HEphkoOiHKYzkU8I5AY2Oj3X+3ZmRkUHx8vHeVUQoEQAAEQAAEQAAEQAAEQAAEQAAEQKDDCXSI0NXhowr3DiF0hfsK0O34tS50UWubV1drkCIY+iJ03fOr22nluuXK2nj9n/No1PDRyrW3GUeh659/epGmTbzQ2+pBK7frg6PU0txKW3b8IP5sVtq9ZNrllJoSurCJSkfIgECICfBZW4WX51Ck0b2bVqQhghJyPXh8hdhWNA8CIAACIAACIAACIAACIAACIAACIAACnUkAQldn0g9V3xC6QkUW7XYyAc0LXYKftbGV6svNQSHpi9B18XXT6EDJPqXflZ+vo8yMbOXa24yj0LXis7WUlZnjbfWglTu88oQUCnJ/yR5au2G10u60iTMoO6Pj7VEMQAYEgkQga1gypfVL9NhaQlcjsSiGBAIgAAIgAAIgAAIgAAIgAAIgAAIgAALhSgBClx5nHkKXHmcVYxIE9CB08UQGK4Sht0JXTW01jb3kfDI3twlsCfEJtHHJVr/WlKPQ9cOyHRQbE+tXW4FUOrWrlso3VUtNfL18AZWfOE79xJljI4aODKRZ1AUBVRAwpRio18WeheiYVAMZExGyUBWTBiNAAARAAARAAARAAARAAARAAARAAAQ6jQCErk5DH8KOIXSFEC6a7kwCehG6mGH9MTNZRei9QJK3Qtdf//kUzX3/daWrYUNG0Fsvvadc+5JRi9DVWGmmAwsrfDEdZUFAEwTYO6vXjGyPZ24ZYiIpLitaE2OCkSAAAiAAAiAAAiAAAiAAAiAAAiAAAiAQSgIQukJJt7PahtDVWeTRb4gJ6Eno4nO6ao80EZ/b5W/yRuj6fOEn9Nhff0fNzc1SN5GRkTTvxffo3MHn+dWtWoQuNn7Pp8fJ0mD1axyoBAJqJdB1VBdK6Rnv1rxI4cSVkGsiQsRCt5zwEARAAARAAARAAARAAARAAARAAARAIDwIQOjS4zxD6NLjrGJMgoCehC6eUGuTOK+rzP/zuhyFrhf++grl5nQVYfzK6WDpAVr17XL69vt1dmvnxlm30iO/fMzuni8XahK6jq6rpOqDDb6Yj7IgoGoCiXkm6jY+w6ONiblGijBA5fIICgVAAARAAARAAARAAARAAARAAARAAATCggCELj1OM4QuPc4qxiQI6E3o4kk111ip8bTFr/l1FLo8NTKk6Bx64/m3AjpTS01CV83hM3Rk1Sll2HwG2cbi76Tr4eKsLmO0UXmGDAionYAhLop6X5xFkcZIt6bGphsoOh7ncrmFhIcgAAIgAAIgAAIgAAIgAAIgAAIgAAJhRQBClx6nG0KXHmcVYxIE9Ch08cQ2lDeTpVHEMvQxeSt0ZaRl0oM//Q1dduEVFBERmBeImoSuFnML7frwmELt3c/mUbO5zUOuX2ERjRBiFxIIaIVAz4syKSbVvThrTIiimDSDVoYEO0EABEAABEAABEAABEAABEAABEAABECgQwhA6OoQzB3cCYSuDgaO7jqKgF6FLj6ni8/r4nO7fEnOhC6DwSDCF3ajHrndqXtePvXK702XXnQ5xcW6P/PH237VJHSxzSVLKqihok3cevdTIXQJry5OWRk5NH3iDCmPv0BA7QS8OpdLhCpMECELkUAABEAABEAABEAABEAABEAABEAABEAABOwJQOiy56GPKwhd+phHjKIdAd0KXWKkrdZWqj0qRBoheiF5T+DUrloq31QtVdiy4wfasmMzRYuQhSPOOV+IfIXeN4SSINBJBNIHJVLm4GS3vUeIaIYJuSbiTyQQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAF7AhC67Hno4wpClz7mEaNoR0DPQhcPtqW5leqOQ+xqN/FubjRWmunAwgqlRGXVKelsroT4ROUeMiCgVgLJBXGUe0GqW/MkkaurELlwLJdbTngIAiAAAiAAAiAAAiAAAiAAAiAAAiAQvgQgdOlx7iF06XFWMSZBQO9CF0+ytamV6svawu+FetK37dxC/37tn15187O7HqCivoO8KtvRhfZ8epwsDdaO7hb9gUBABEwpBiqYmkmRRjduWuJIvcSuRooQYQuRQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEnBOA0OWci7bvQujS9vzBepcEwkHo4sFbGlupoTz0YteKtcvo3l/f4ZK37YNXnp1DY0eOs72lmnzZ91VUubtONfbAEBDwRMAQF0W9L87yKHIl5BgpMhoilyeeeA4CIAACIAACIAACIAACIAACIAACIBDeBCB06XH+IXTpcVYxJkEgXIQunmz2UGo4YQnpvLe0tFCzpdmrPqIN0RQZ6cbzxKtWQlPIMXwh98IhDA8fLRXndPUhhDEMDXe06h8BFq7yp2RQTKrRbQPx2UaKMkHkcgsJD0EABEAABEAABEAABEAABEAABEAABEBAEOgQoau4uJiqq6sV4OPHj1fyyISAAISuEEBFk2ogEE5CF/NurrPSmVOhFbvUMK/BsME2fOEhIXCtWPuN1Gy00UhXXXyNdG5XMPpBGyAQCAGvRa4sIXLFQOQKhHUgdUtKSmju3LlKEzNnzqSioiLlGhkQAAEQAAEQAAEQAAEQAAEQAAEQAAF1EegQoWvOnDlUWlqqjPyJJ55Q8siEgACErhBARZNqIBBuQhczN9daqbESYpen9WcbvnDLjh9oy47NSpVpE2dQdkaOco1MaAl8sehTqqmrUTqZNvFCykzLUq7DNeOtyBWXGU2GWHV6T4bL3EHoCpeZxjhBAARAAARAAARAAARAAARAAAT0QgBCl15m0nYcELpsaSCvIwLhKHTx9DVVW6mpCmKXu6VsG76wrr6WPpn/gVS8S0oaTRw9OazCF3JIylXfLneKyyg83FKSu1BKkviTnEJxsfFOywVy8+2P5lJ1bZXSxBUzrqacrK7KdThmvBa5MgzE53chdS4BCF2dyx+9gwAIgAAIgAAIgAAIgAAIgAAIgICvBCB0+UpMC+UhdGlhlmCjHwTCVehiVOYa4dl1GmKXu2VjG76Qz+gqrzhOvQoKwy5sodVqoZff/Lc7VMqzpMRkGnP+OMrv1lO5F2gGQpc9Qa9FrnQhcsVD5LKn1zlXELo6hzt6BQEQAAEQAAEQAAEQAAEQAAEQAAF/CUDo8pecmutB6FLz7MC2AAiEs9DF2CxnWqihojkAgvquWrG1mk5uq9X3IL0YnS9Cl9xcj7wCGjtyPLHwFWiC0HWWoLciV3yOOJPLiDO5zpLr3ByErs7lj95BAARAAARAAARAAARAAARAAARAwFcCELp8JaaF8hC6tDBLsNEPAuEudDGyluZWqjtuJmr1A6DOqzTXWWnv58d1PkrPw3MmdHVJTqOoqEiyWCzi/Kxq4vCGjikhLoFmX3ljwB5wELrayJpSDNR9fAZFJ7j20ooQR3EldDVSRBRELsf12JnXELo6kz76BgEQAAEQAAEQAAEQAAEQAAEQAAHfCUDo8p2Z+mtA6FL/HMFCvwhA6GrD1io0irqjTcSfSPYEDq88QbVHmuxulp04Lok3qeK8rnBIzoSuG6++lRITkqTht4qFc7r6NH33/ToqOXzADsmAwoE0QZxpFkhyFLquuuQaysrIlpo0N5vpdFUldUlJDVhQC8TGUNdNLoijnPNSKNIolCwXKdIQIYlcBI3LBaHOuw2hq/PYo2cQAAEQAAEQAAEQAAEQAAEQAAEQ8IcAhC5/qKm9DoQutc8Q7POTAIQuG3DCo4vDGFoaoXbZUKH6siYqXXpCubV24yraf3CvdD1h9BTqnttDeabXjCehy3bcG4u/o42b19veoksvvJLycrrZ3fPlwlHomn3FDdRwpoHWfLdKCGynqLW1lSIiIoiFx/GjJ1F2Ro4vzau+bNawZErrl+jWTqM4iytGnMmFpE4CELrUOS+wCgRAAARAAARAAARAAARAAARAAARcEYDQ5YqMlu9D6NLy7MF2NwQgdLWH01RlpaZqS/sHYXxnz6fHydJglQi8+cFrCoksIahMnzhDudZrxhehq6XFSm9//CbV1tUoOPoU9KWpEy5Urn3NOApdY0dOoHUbVpNV9OWYDFEGqa+C7r0cH2nums/j6jYuneKzTW5tj0k1kDHRdThDt5XxsEMIQOjqEMzoBARAAARAAARAAARAAARAAARAAASCRgBCV9BQqqghCF0qmgyYEkwCELqc07ScaZG8u5w/Db+7VQfq6di3p6WBf718AZWL0IWc+hUW0YihI6W8nv/yRehiDsXbf6B1G1crSNK6pNM1l1+vXPuacRS6PNWPMcXSTdfcRix6aTV5cx4Xjy0+20hRJsQqVPs8Q+hS+wzBPhAAARAAARAAARAAARAAARAAARCwJwChy56HPq4gdOljHjGKdgQgdLVDotxotbRS3XEzzu36H5H988uoqcpCfCbUj3u2U0J8AvXKL1R46Tnjq9BVcvggLfjmCwVJVFQU3XXjfVJ4QeWmDxlnQtewwcNpQN+BZDAYaOeeHbR+0zq7FscJr6+B/YfY3dPKRfqgRMocnOzWXPb2is8yUgQcudxyUstDCF1qmQnYAQIgAAIgAAIgAAIgAAIgAAIgAALeEYDQ5R0nbZWC0KWt+YK1XhOA0OUBlTi3q/GUEHfq24eI81BTd48dz+rS3QDdDMhXoauy6hS99+lbdi1ef9XNlJyUYnfP2wtHoat7bj5dMu0yu+pLVy+h3ft2Kvey0rPpqp9co1xrIcNeXLmjUikm1ejWXJMIU2gS4QqRtEMAQpd25gqWggAIgAAIgAAIgAAIgAAIgAAIgAATgNClx3UAoUuPs4oxCQIQurxbBghl2Mbp6LpKqj7Y4B00HZXyVeiqrqkS53TNtSNw3VU3UUpSF7t73l44Cl0TLpgkvLkG2VU/WnaEPl/4sXIvLjaObpl9p3Kt5gx7Z6X2S/DoxUUiQiF7cSFUoZpn07ltELqcc8FdEAABEAABEAABEAABEAABEAABEFArAQhdap2ZQOyC0BUIPdRVMQEIXd5PTmsL0ZkTzWRpFJkwTc11Vtq/oIxamoWr2/8Sey+lpqTJl7r89FXoOnS0lL5a/JnCIipShC686acidGGkcs+XjKPQdfHUy6hHXr5dE7X1tTTvg9ft7t198/3Efas5xWUahRdXGkUnuLfTGB9FMWnCiwvHcal5Ol3aBqHLJRo8AAEQAAEQAAEQAAEQAAEQAAEQAAFVEoDQpcppCdAoCF0BAkR1tRKA0OX7zFgarNRwwuJ7RZ3UqNhaTSe31RILXOs2rJY+szNzaNqEGToZYfth+Cp07di1lVZ+u1xpiIXA2VfcoFz7mnEUui6/aCZ1zc61a6ZZnJ3237desrt306zbxFlqiXb31HLBAlfGoGSKzza5N0kIW1zWEAOFyz0odT8tKyujRYsWKUaOHz+eCgoKlGtkQAAEQAAEQAAEQAAEQAAEQAAEQAAE1EWgQ4Su4uJiqqqqUkY+YcIEJY9MCAhA6AoBVDSpBgIQuvybBfbuaqhoJmtTeHp37Z9fRhvWbqAtOzYrAC+ZdrluPbt8Fbo+/uoDKj9xXGHTK78PTZ/ovxDoKHRdOOli6tmjt9I+Z2rqqumtD+fY3btHeHRFqsyjy2uBS4wkOi6KYtPhxWU3qbgAARAAARAIawK///3vac+ePfTzn/+cRo4cGdYsfB18a2ur8K4PzQ9nAmk7kLrOGGzfvp3+/Oc/U25uLv39739vVyTY/bXrIEg3nnvuOdqwYQPdfPPNNH369KC0qqbvj9VqpRtvvFEa18svv0yJif79OC0U8xkIp2CNKygTjkZAQKMEQvH+0ygKmK0CAh0idKlgnOFlAoSu8JrvMBothK7AJjtcvbs4hOGyV76l5SuXKgAhdLWh2HdwDy1esVDhwplJY6ZSvz4D7O75cuEodI0eMZaGFJ1r10TpkRKav+Rz5V5cbLw4o+sO5bqzM74IXByeEF5cnT1j6B8EQAAEQMAdARYQmpub7YqwiMLiQq9evah3796UlZVl9zwYF5dffjlt3LiReGP8kksuCUaTumtj8eLF9P3339O4ceNozJgx0vg+/fRT+u1vf0u/+93v6NZbbw3amFtaWiQRpr6+npYuXUqxsbE+tb1//37iOR07diy9+OKLPtV1VXj16tU0e/ZsKiwspOXLz0YY4PKh4uDKlkDu33XXXTR//nx68skn6bbbbpOa+uabbyTxi+eV59fXpKbvj8VioR49ekhD2Lp1K6Wl+RYKPtC1545dIJwCHZc7u/AMBMKFgLP3X7iMHeNUHwEIXeqbk8AtgtAVOEO0oEoCELoCnxbp7K6TFrKcsQbemIZaqDl8hua/tITKKspoyMBzKDsjR0PW+2aqNx5drWIhFG//gTZuXk8W69nQlnk53ejSC6/0rUOH0o5CV2ZaFs28dLZdqa+XLaD9pXuVe1liPq66ZJZy3VkZnwQuYaRRnNUVkwovrs6aL/QLAiAAAiDgHQEWEVjccJcyMzPp8ccfpyuuuMJdMZ+eBbIB7VNHGi3MZ0JOmTKFTCYTrVq1ShEPfvOb39Dbb79N06ZNozfeeCNooysvL6dzz2378dHXX39NAwcOtGvbbDbTqVOnKCfH+X8ns/B0//33S948P/74Y1A8ztwJXaHiYDfoIF042+g9cuQIcTQjo9EoiXi+islq+v4EKgh5WnuBTEMgnAIdVyB2o27wCNTW1hK/v3wVYINnQXi35Oz9F95EMPrOJAChqzPph6pvCF2hIot2O5kAhK7gTYDV3EpnKszUEkZ6V9n3VVS5uy54EFXakjOh67yh51OM2ERpONMghRI+UVlBtXU1diMwGKLpWnE2V2JCkt19Xy8chS6u37dXfyEwnksm8X/0d+zaRj9s+96u2fGjJlJRv8F29zrqwiBCDiZ1i6W0fokULYQrb1KUMYLiMqIpwhCakELe2IAyIAACIAACIOAtAVnoeuSRRyg/P1+q1tjYSKWlpXTgwAFiDw321uHEnidPP/00de/eXboO5K9ANqAD6VcLddnDhfls2rRJCtl33XXXKWbv3LlT8pjiMHjDhw9X7gcj88wzzxBvCj/xxBPthKo333yTHn30UTp06JDTrmpqaugPf/iDZBN7YQUjuRO6QskhGLbbtuFqo/ell16ip556iiZOnEhvvfWWbRWPeTV9f4IhCLlbex5huCkQCKdgjMuNaXjUQQTuueceOn36NL3//vsd1CO6sSXg6v1nWwZ5EOgoAhC6Oop0R/YDoasjaaOvDiQAoSv4sKVwhsLDi1qD37YaWzy6rpKqDzao0bSg2eRM6PLUeIwplsZfMJH4fK5AkzOhy12bcbFxdOPVt1JUlPCM6sCUXBBHiULgYpHL2xQRKcIUZhgpKgYCl7fMUA4EQAAEQKDzCchC18KFC2nw4PY/LGHRhTfh//KXvxCLGf369SP2+DEYAvu3OZAN6M6nFloLmC+HuONwcGvXrm0nOoW2d+et8xlMK1eudCl0Oa8V2F13QldgLXdsbVcbvRwy9LzzzqOTJ0/Sxx9/7NNZdWr6/qhZEAqEk5rH1bErWLu98Ryyd+qQIUMgdHXSNLp6/3WSOeg2zAlA6NLjAoDQpcdZxZgEAQhdIVoGQuRqqrFSU9XZEHYh6kkVzZYsqaAG4c2m1+SL0BUZGUkDhSfV8HNGCm8rU1CQ2ApdCfGJ1CMvn3bs3ua0bfYimzbhIsrvVuD0ebBvmlIMlNIrnrr0jKdIo1CtvE1C14rpYiBjonceX942i3IgAAIgAAIg0BEEPAldsg0cam3SpElSmEM+H4rD1AWS5A3oV199lS666CKlKRbTEhISiP87JFzTzJkz6dtvv6X/+7//o5/+9KcBY2BvhujoaImrP43xnAwdOpR409iVR5ev7XIYxMTERCl0n6u6wRC62EON/2RkZEgMXPXleL+iokIKdRYV5dt/33FfvHbj4+OVJt1t9LKA/MILL0jfAf4ueJvU9P2xFYTY0y45OVkZRlVVFaWkpCjXwcg0NDRQU1MTdenSxWNzgXCyHZe3Z49xiLy6ujpKTU31aJuvBVgQZZb+/sjgxIkTFBMTI33vXPXNY66srCQOV+tvcvYd8LYt7pu/Oxyy1dfU2tpKZWVlEiP5jEE+2++GG26QzjjsTI+uQMbFHAJ5h3No0Lg48SNO8b71Jvny/XJsz9ncu3v/OdYPdP1x//wd5HeDs/+G4PeG/D2yfUc72oFr/RKA0KXHuYXQpcdZxZgEAQhdoV0GfH5XU6WFzPX6jme4Zt0q+vy5rynJkEbThcjCYoyekiuhK0K4IyUmJFJyYgolJyVLf3oIgSklyfP/gfSFj63Qdf6wC2jY4OG0a99O2rDpW6praAsdGRERQeldMmji2CmUnprhS/M+l+Vzt9hzKz7TJM7TMvpc35QURSyQEZy4fGaHCiAAAiAAAuog4K3Qxda++OKL9Kc//UnaLOVzo3Jzc/0ehLwBzd5ivXv3ltrdvHkzsaDGm3L9+/enm266iVj0Cae0e/duSVBkYeqHH35ot2HOc/Daa6/R1VdfTQ8//LAdGvYC27Ztm+QFxgIDz9XGjRulMJRcMD09XTpn7cEHH6SkJPtw1LzBeP7550vtffPNN9JGIW8K/v3vf5fOBGOxi5PjWVIbNmyQNt7Xr18viXIFBQX00UcfSWVt/2KB7L333qNFixZJ9nB4TP5vvuzsbLr22muJw4s5bjy6E7rccdi7dy/9+9//lvrijU9Ocl+TJ0+W+mPhzjGxuPiPf/xDYsjjZVGAPRgfeughaU4cy8vXPBYOQbhs2TJJCOS++vTpI52xxmeJ/fKXvyQ+w+zJJ5+UPPXkevzJXC644AJpU5YZujoDzbYO5/39/rBnHotRbBPnXaUFCxbQY489Js3PV1995dar0FYQ4nCnvCY4LCOLQ7xBz6LPoEGD6Le//a3kWePYp7O151iGhUd5PTMzFjV47bCnDodd5XeIs+QvJ27LdlyOQpe83u+44w669957ac6cOZLHELPlevw94dCif/zjH9t9Z5zZaXtP/h7zeuRx8/mIHMaU83ymG69JnjvbkKaO9dletpE5/fOf/yT22OWz8zjxu7tXr15KFfYsfPbZZ2nJkiW0b98+4mt+PxQVFUnfSz4r0FmSv4P/+c9/pHng9b1ixQo6ePCgtF44FO7UqVOJfxjB7zNX6dixY1LYUx7j8ePHRSSPKOrZsyddc801Uv/8fbJN8nrhMwX/+9//SuIWj3Hx4sVSnkW6L774gv76178Sr10uz9xshVH+/jPnX/ziF9JYeezuBEReR4cPH5bm4rLLLrM1x2Xe13FxQ/Lcsyevr+9wW0M+/PBDyROb/z2R34EsdI0fP57+/Oc/tzuvzN/vF/cZyPtPtplD47IQyd8fFqpY0OX55XC4vBYck+3a4+8Z/5vD9fndw/PNIZZZ4OTE7yBeJ/zvD4t+cuI1PmbMGOldevHFF8u38alzAhC69DjBELr0OKsYkyAAoatjlkGrpZUaRDhDa5NQvnSYJl01mqIomvpYh9LQHsNpzIjxOhylOofEZ4Tx2WBpXdLE/9Fw/X+GArGez9yKzzJJ4laC+PTJc8umY0NsFMWmGSjCtx/52rSALAiAAAiAAAiog4AvQhdvIA0bNkz6RTRvLAYiQskb0LwJyptQ/CtytoU3iPfs2UMlJSXSJi1vVvGGpeNmpzroBd+KV155RdrcY9Hpk08+adcBb+D961//Ij6jizcsbZPMlD2EuBx7cLDg0q1bN2kDeMuWLWS1Wp2Gn+S55VCJnORNffZCYAGKBa/vv287Q3X06NG2XdK7774rbUy7E6W4Am+W80Y7b7b27duX8vLypE1H3phkm9hbcN68eXZtu2vTFYddu3ZJG5e8uct9cThOFlpYQN2xY4e0icqMHTc2WZhh7yoO1cmhzliwY0GFWbBY8LOf/UwSauwMFBe8Mc+CLG/QshcK98cb7Sy2sWgwcuRIyZvs888/dyp0cXs8dt6QZrGBN/e9SfJc+/r9mTt3riQMsZDMgqarxOuLn7PnJvfhLtmuHZ4X9kTkTWSeZ/as2b59uyLS8HfZcYy29eW1Z9sfC4gsSPB6ZG8xFmBYOGHmvMa5D/4uzJo1y7aalPeXE1d2Z5e8Ni+55BJpvl9//XXp+8OCG4ukLDizAMCehPyMN+29TbLNvCZ///vfSx5i/G7kdcVjZsGFE3P8f//v/7XzXJHrs1DOXFgE4B8PsGDAnpTfffedIuqwKHXnnXdK301ev7wuuB9ej7KgyOIL2+Ho3Sh/B1nAZIGLhSoePwtc/P7m7wB/t1lU4nXHQrtjYtGNvVZZjOD3D3/3OF9cXCz9m8BCBL8XWKiSkzwvPJ758+dL4j1/77l9tp1/gMECJL8neX3wvye8brhtObFYyALiiBEjpPeQo2exXI4/eU2y1zHzYbscfyRgW1bO+zMurivPnT/vcK5fX19PDzzwgMSFr/ndx/8GVFdXS2dtstjH73LbuQzk+xXo+4+/I2wvC5P8wwJeK2lpadJ6ZNGc1y2zmD59Og9HSfLa4x808H87/PrXv5bWNK8/vuZ36ahRoySR78orr5S+N/zOGDBggLQ+Wdjjf49YTLzlllskEV1pHBldE4DQpcfphdClx1nFmAQBCF0duwys5lZqPNVM/Kmn9JMbp1P9/zyLxnafTtecd5uehheWYwnUa8sWWpQpUhK4IqPtf1loWwZ5EAABEAABENASAV+ELh4XexKtW7eOfv7znzvd+Pd27PKGHpefMGECPf/883beS0uXLqX77rtP2qhyJkx424/WyvGmMp/R5UpgkDf43AldPOaxY8fSc889J3m9yAx4853nj0UgFnVYoJGTvHnM145iA3sm8K/meXOUN7+dJXnjn9cThwtzTOxtwZuwM2bMsAtLxl58vBa4f/ZCYO8mOblr0xUHOUwWiwDPPPOMnUDKIeV4Q543rW03etlzhkVb3gRm7xTeXJfTmjVrJC8Ltp03Y1notU0sgLEgycLYO++8Q927d1ces1cGb+JzqCxOzjy6+D4LBezZyDbzBq03yd/vD889iy68GezqXD4WQ7gMz4mj948z22zXDj/n7y17stl6yPBaZFGGN5uZN3tjycm2vuPaY9FD3rBmQebRRx+1a5fni9cyi5HslcPimm3ylxO34c4ueW1yORZUea3ZiqfM8NZbb5XEH7aJ32feivW2NrNHFHsZ2nojsecK82X7ePw/+clP2AwlyfXZe5HXL3vCsQhou+blwldccYXkBcMCNnvJ2IpRPPc8lyww8vdN9pCR68rfQb5mD7GXX35ZEsrk5yyss4jAogK/a3iebBMLgiwEswjDQhqLUzIjfs/wO45FKhZabUPlyvPCHqAsLJeWlkq28zvKMbHIxyIpf6edhS7829/+Jnm8sRDPYpyz9MQTTxALYezJxYw8JX/Hxe3Kc8d5X9/hXEeeExaL+N9U9uCSE7//mCuLPXIK9PsV6PuP1za/F1iE5H/n5R9bsH0s9LKnLK9JXsf8PZOTPE7+bwd+xmuT3w1yyEq53BtvvCHdZwGM/11lMU1OvI5Y9OV3dyDe6XJ7+NQGAQhd2pgn36yE0OUbL5TWDAEIXZ0zVZLgJUIa6sXDa8361fT0C09R7/ze9PDPHqWEllQ6vOoktTTrS9ALdLWcrqqUQg562855Q0dQtOHsL/G8redvOfbcyj4vhQLx2rLt2xATKUIbGggCly0V5EEABEAABPRAwFehizdY3377bUmwYE8sf5O8oce/2GZPAGe/kuf2eQOUf33P3iXyJqi/fWqhHod4441l3nR1FjJM3uBzJ3TxGWfsKWV7VpI8drk+b3DzL+XlJG8e87Wj2BAMoUvux9kne419+eWX0lyzmCEnWUxwJp7J43DkMG7cOMlzgUMkMktvEgsF7P3Cm67OvII4fCMLNSy42IZl3L9/vyTSshcYr0/2hnFMHC6LQx9yciV0yZvxvOHKm7bepEC+P7/61a8kTzxHdnK/8uYwi3os7nlKtmuHxYbPPvvMaRUWfljwZPGDxRc52dZ3XHu8ec32sGjD4c2cJQ4PyCILb3rzu8k2BcLJnV3y2uS+2JuEQ0E6JhZwzjvvPElUZPvY+8ubJNvM70QOPcrfZ8ckr39n70a5Ptdx9yMB9oZiYZhFEX5f2IoAcn+8rnmduBMbuCyLvXLoU7kuf7JYxqFJZYHTNjQnC1/8DmLxnb9fjomFYv4+8vjZC0kWOmznhYWNlStXuhQq5O+WK6GLPT35e83/tnAf7BFmm9gjjb8H7BnGQratcGRbzjbv77i4DXnu/HmH8/lkLFiyl9THH38siYi2djnLB/L9CvT9x2Iw/7CBPYZZCLYNpynbyt5YHIKTw+3K71F+Jq9/zvN7hQUxZ0n+EQGLlbzWkUAAQpce1wCELj3OKsYkCEDo6txlwEJQU5WVmhv0d4ZXi7mFjn9fRdUHGzoXsop6Lzl8gBZ886XXFt0y+06Ki43zury/BVmISu2XQJmDzx6C7W9bXM+YwGdwRYkQhfDgCoQj6oIACIAACKiXgK9CF4eD4k0mFhFYTPA3yRt6vJHJAoOzxN4n3A+fGcMCAAsBek58Nok8Rt74401sxyRv8DkTKWSm119/PbGngrMkb26fc8450vk1chnbzWNHsSHUQpcsJLFHB5/JIidZTPBF6Lr77rulcfHmOXsK2HoVye3afspnovHGMoeFc+b1wjzYC4yFAA5HKAuuvEnPm9oc/ozP4HKWeBOXvU7Ym8KV0MUbubyhy+3z5rE3SZ5rf74/HH6NvY9YSOE8h2SzTSzIsKcdryFeS56S7dphwYLZO0scIo3PluLwpCwsysm2vuPaY/GQPWQcvf3kuvzJ5+6wwMaiBLdre45cIJzc2SWvTe6fWTkKJHyfE58fxqI128Fh1rxJss3spcLfd2eJvaRYROMxsy225xjJ9dlbigUPV+n222+X3uEcOo7FT2eJPeU4tCZ7VvF6Z4FcTvK7iAUKFrRcJTk0J5e39QqTRX1+Jzk7M4/bk/99YiFcDv9oOy8sMLLQ6Cp5Erq4Hq9JXpuOnmP8jL1T2WYW6FgMjIyM5Ntuk7/j4kblufPnHc5nN3I4Rsd3uztjA/l+Bfr+mzNnjhTm1FnYWtlmFohZyHYUseW1x+Inz4uzH8pwG/zd4+8ge4yxUMmiLlJ4E4DQpcf5F0KXpea4HkeGMYU5gajYLhRhOuvOHOY4Om34rULnMtdYqKlGf4JXc52VKrZWQ/ASq4vDOx4vP+b1Oivo0YuiIqO8Lu9PwcQ8E2UPS6VoIU4FlISmZUo2kDFRCFye/79MQF2hMgiAAAiAAAh0NgF5I9FVGDNH+3gjjTfUOKQWb1T5m+QNPf7FNYdBdJX41/YcbonPgmJvHT0n/kW+HBrP1ea5vMHnTujijT0OOeYsyV4SHMqJPSHkZLt57Cg2BFvoYtGHPSk4pB8LQXx+FW/IO45JFhN8EbpYuJk9e7YUnpFDxvGv+C+99FLprBd5rLafLNbyhj/3wb/6d5bYM4dDEHLiTVU5zJXsLcBeaOx56CrJG/2uhC4WESZOnChVZ6HLmWeNY9uBfn+mTZsmnVnmKF7wmU3s/cI2MEvZi8axf9tr27XD3lzOQshx+aNHj0qiIAuFfP6OfO6SbX3btcdh1eRzlfgMJne2cJ+8TlnY4HeGnALh5Moubltem+xRxOKnqyR79LEoxevcmyTbzN429957r8sq8pgd341yfUcvGMeG2EuOufIZYo5nINmW5dB/zNWxPfld5E6o4Hbk+rbhblm8ZJGFhSPunz2+nCUWsXhebc+EtJ0Xx/l2bMMboYtD2nHIWBYLeV5tkxyaz9Z22+eO+UDGxW3Jc+fPO1z+t5nfZywOeUqBfr8Cff/ZhoR05knL9nNoQQ7ByCFhOeSpnOS15+hlKz+XP3mMHJaW1zmLXDzP7GFoK4bLZfEZHgQgdIXHPGOUIAACIBB8AiLSn1kIQ42nLfT/2TsTKMnK8obeETYAAEAASURBVO4/VdVVvc30TM8wKzAwbINMBgHZRPYkIkSPJzCeLx8misoxiny4YAADAULEAAqCn4gnIFvEHEmMOR4XFMNB8fgZQERAEZTZYJzugZmerXu69u/9X7hNTVFVXXvfW/V7tamqu7zv8/zee2/B+6/neazDsv75gtf4aNIyHRjB1vyLobU99s7tcQLXsA0u3vPXqLWOKlGr36UnVNpDc2IXDQIQgAAEINBJBJSWSYutxa1WoUu/btev3JVu7h/+4R+Ku6v6s7+gp9o2EibKNf+4aqNLyvUThu3PPvvsVLrCdevWlVz89Rf4ikUh+eezUtTdOeecU9LlmRK6VB9MqeckqGrxsVQr9skXE2oRutSvxBJFZ0ioUZNAovpXWuQsrAGjfX7EgN5X0wqjT/x7QfeB7odyTde3fCkndCktmh/Rovu0ML1buT79ua73/vnXf/1Xu+yyy95Qu0j9qU6YIsy0wFxNKxQeVL+vmLHfh47bf//9vXpahRGahecXCl0SexVdpmg7Rd5Vaj6P4ueEv70eTuXskh3+tTldukk/dV9xFFs1vhSLkMXnqGaUrpdyPmv+NI+lmiK1JHYrzd10aT79Z05xulN/e6XoI43tH1d4vuZZUZLVtkLRr3BelPa2sN5bcX/VCF2KipNoqMhARWYqQlNNdeze/OY3e6+F12vxGIWfG/FL/fjXaz3PcNVBUyRwIatC24rfN3p/Nfr80/NeqTGracWCsn9NnXvuuaaI4EpNKRIvv/xyL9JX172idt/xjnd4NeH8ua50Pvs6iwBCV2fNJ95AAAIQmBECmUmX1nBr2rIhq3N1zzfvtF//5gk7+y/+l5143Ekl2U1uTdm2NRO248XdiF4lCbVuo9IULjh8yOYf2lgkZ6zX1d8a7rFYL+pW62aLniEAAQhAYKYIKEpItS20UKxILC3cFbZahS4/wkpp4fTL6Hqbv6CnRXWJEOWaFkcVRaOFLS2sdXL7/e9/76Voko96r/plxc1f4CsWhXScz7RSPaCZELoUcaLUaIrk0cKiIkAUFaXFf/molFKqrVTsky8m1Cp0+cyUElCpqyROaXFcC5xKdaY/PwWZIkUkFChNpBZNp2uKDluwYIF3mKIQxFPRE4qiKNcksClqpJzQtWnTpikRulwkX3Hf/lzXe/8oLahSwe3evduLlNh33329IVTjRyKrIpFOOqn0f/8U21IoPCjqQtEXpZqO84UuCUB+TZ7C8wuFLomjWpCWUKmIjErNr+Vz3XXXeano/GMb4VTOLvXtX5u6jvV8Ktd8oUvXjC+8ljvW316tzb7QVc7nSs8BLfgrokrXgeqmrVy50h/+Da9+alFd+7fddtvUfv9ZpIgZ3Uflmn9c4flipme7IgcVvTRdkxClFKBqlealuJ9qhC6d4/uo7yLdU2qqO6aILo1dru6cd2DBPxrxS934c19p7so9w/3nkdK/Kg3sdK3R+8sfr97nn1hLQDzrrLOmrSemFLT6fvCbf00Vf2f4+0u9KlpVAr+ebYrSVVMKV819qXqWpfpgW/gJIHSFfw7xAAIQgEBgCOQzeUvtzFrS/QU9yutb373fbr3r1X9hnzU4y75x27dMr5WaRK8dL+225FjKxkdTprpltNYQmLdCdbiGLJqoM7eg07S89IQuzWGkwUyHrfGQXoNKQL981S8+/abi3IODg/5HXiEAAQgEioAW3S655BKvPpAWpSQ2+Av8vqG1CF0PPvignXfeed6p1aY69McpfvUX9KZLXahi9evXr/eEENXp6OSmVH6+ECmRZp999nmDu5UW+Hym9SySVlo8biR1oQQ7CVtqWiRXhE5xkwD01a9+telClz+O6hkpOkapNhW9oTSDSjeo9p3vfMdLD6cUeRKjamkSkLVoqjSRlRbr3/Wud3m1o8oJXb/5zW9MqQTVdK1PV1dMx/lz3cj9o7RwEhn1jFB6OQkxWviVeKOUYcXPCo1bqhVeO0rPVypyVOf515EET6Vo9GuDFZ5fKHRp+8EHH2yqXSehXpFd5ZrqUb344otvEOga4VTOLtngC11KuSdhsFz75je/6aX8k6ioOlPVtGptlmisdJASiQufjf75lZ4DskO11BSBp/tCqWjLNdXwuv/++70Us7re/OY/i5RSVmJ2ueanLrzwwgu9SEsdVxjFOF1ayuJ+K81L8bHVCl3iqGtIkUO6BiXA+bW7avlRRyN+yfZq5q6c0OXfz9VGWzd6fzX6/FNEqYSn6VK/Fs+pPvvXXi1Cl9+PxH099zSvSjWpZ+9dd93l7+a1wwm0RehSmGzhgkGhStvhfHEPAhCAQNcSyLoor8kxF+WVCqYYdM83v2b33H/n1PzcdM2X7YiVR059ruaNUhyOb560SRfNNunEr4nNqWpO45gKBBqtw9XTFzWlOiR6qwJkdlUkoMUM/Trcb/oVa6VfwfrH8QoBCECgnQRyuZwnHGjxRovmSq2mX02XatUKXVoc0mKqaispkuArX/lKqe6q3uYv6FVKPaRog1WrVlk6nbbCCJCqBwnZgVp49CNeygmJlRb4fKaVFrjLLZJWWjz2BQoJHxITSjV/4b84+spPkadoDPlUqn3gAx/wokqKFy3L9ak+KnEoNYa2fe5zn7Nbb73Vi95Sii+1Z555xqtPpAVuRTjotdr2xS9+0VssVdSRoiXLNYkcWvMqJ3T5UT/VRC75Y/hz3cj94wtb/pxJALz99ts90UviV7Wt8NqplC5PKU8Vlblw4UJT5JrfCs8vFLq0X8Kb7KxU+2vbtm2eQKx+JND50Wk6vxFOlezyr02NUSl9np69qkFVyzOzGpsliuu6knBb/Gz0z6/0HJDd1157rfccn04s1fWte0PXu34w4Tf/HtQzS8+Vcs2vBabjC6NyFUWpZ7zEqMK6auX68bdXmhf/GP/VF7oUqSixrlLzhS1x0/FKJyohU9dfJZG1uM96/VI/1cxduWe4nm16xk0nPBba28j91ejzT88aPXOmq7NVaK//3r/2ir8z/P3VvPrPIx2rHxvMnTu3mtM4JuQE2iJ06dcD+tWK38oVAPX38woBCEAAAp1DIJ9z6Qd2uyivsazlssERvXaN77L//ZFzbHxil51x6pn2sQ9+YtqIrmpmJZfK2W4JX9tSTuTL2YSr86XX5DZXy4xWlsDAwoQtWDWnrjpc0Z6I9c2NUXurLF121EIAoasWWhwLAQjMBAH9QlmRW0888YQNDw+ban0oRVW5Vo3QtWHDBu+X+A8//LANDQ15C6t++rZy/U633V/Q0+K+6syUWkjUArEWirWQqsVcpZ6bqaYF5XLjV9on0bFcZEypfX4EW7mUdJUW+HymlRa4yy2SVlo83rVrl61YscJDr8VBXTPFzV/490UTf7+/GHrkkUd6NVL87f6roq20MKsF7+JFy3J96txKHPy+i1+ff/55O+200zwhRIKImvyWgKu0Vp/61Ke8NJ/F55X7LIFD6dgkJisCr1StIEXMKHJGrZzQ9S//8i+mdGOVxMBiG/y5bvT+OeOMMzyx76GHHvJECKVR1DVSrs5WsR36XHjt6Pr993//91KHeZEb3//+971UpX56uOLzi4Uu1RuSYK8FeXEq1fxrTNGQSlOpiDG/NcKp0K9iu/xrU+Poeauop+Kma1pp7/Sq1H76cVQ1rRqb/VpqpZ6N/vmVngOyQ6w+/OEPeylEdf1K1Cluuk9U70/ZC5RmTiKl3/x7UJ+/9a1vlUw/p1SW8lv3iJ7hhdeVUojqWqlV6Kg0L75t/qtqQOm5ou8rfSeWexbreKVwlOiuqNNTTjnFFCE1XVpGf5zC13r9Uh/VzF25Z7jEGt3PavJbgtt0rZH7q9Hn35o1a7znseZT14GeHdU2/9or/s6o9nz/OD1zVcOrXAS1fxyvnUMAoatz5hJPIAABCASegJfacNyJPtud6BMQzWt08yZbtHBJW9gpAiy161XByxfCNLDEMLVmC2KqcdU3/Pp/0PQNJ7xxtq0ZD0zaxZ6BmO391nk1C1yR6KupCeODpCb0JpV/NI0AQlfTUNIRBCDQIgKKuHnve9/rLShqAVgpViu1ckKXBAgt/kvc0oJpMpn0ol20QK3F/Uabv6CnfhTtoDRChTWptCj5vve9z8bGxmpaJG7UrlLnKy2dogFUr0VpuApbuX2KQpNfmg+JjRJY/FZpn8QWpTsrrBXjn6fXSgt8PtNKC9zlFkmnWzxWdIPScpUTg/yF/2Khy19Ml+1afC0UXXWNKZ2ZbFIrXrQs16eOLcdBdXW0SD1//nwdtkfzzykWTfxf9icSCdPCr2pqFYol6kQimfxXpEdhU0TVT37yE2/7HXfc4QnB/n79oFu1u5599llvUzmhS8co05FEh2p/+O3PtTpu5P75+te/boroUX+KmjruuOO82kS+D9W8Fl47Ol4+yJfCpsg+3SsSGooFj8LziwUlLUIr9aMvtitNZGHT9SVhYWJiwrNb9he2RjhVssu/NjWW6vvoniusaSZ7/vZv/9YkIC5fvty7RsoJ5YX26v10NisaUX0ryraUgOafX+k5oHEktCttnK493RM333zzHs9gpRTUvaDrWKKPOBc2/37StsMOO8yLaiysz6Z/Z9b9ofNLPc90P4mZhEAdp+um+AcPekYoBW9hytNK81Jon94X1j2cLnJMP1hQOkhxVbScngt67hff88VjFH+u1y/1U83clXuG63w/TaRSfuqHIgcccIA2e00pQCWGSdzxr8VG769Gn39+lO2SJUu8iMHCe0hGa040//PmzZv6sYW2+9de8XeG9hU2zaEiPA866KDCzd57PYdUZ1R9K2KR1h0EELq6Y57xEgIQgEDgCCilYdrV8ko58YdWHQHVCCuXCnJwcW91nbij1M+6H788o2KXBK6Fbx6yuQfUVvuodyhmcVd3SyIeDQKtIIDQ1Qqq9AkBCDSbgNKxqeZQNc0XuhSN4tfM0UKdFmoL25lnnumlGSpVN6rwuGrf+wt6EhYkcin6TIuLS5cu9erx6BfWEtf0C3WlOPIX5qrtv1nHaVHVrxMkRvoVu98q7ZP9Z599tneoXpXSzW+V9mlhVdEhinxQNFBxq7TA5zOttMBdbpF0usVjP4JE9mieTjzxRNMi9Gc+8xlPTPUX/ouFLi2u6trRorkiRrRorEVxLX5roVG1cCReXO1SWBUvWpbrUzaU46DoEKVaVJ0oRbsokkP1nZR+TPYqIlG1kooXPtWf6nhp8V81qmSjrkmlHNR3v+z9q7/6KxOHwia/tNir4xTtojo/ixYt8mpQKRpGC81Kv6kaRqWErnw+7y08b9261Ytc8mt1FY5R6r0/143eP4rW03yOj497w5SLJCxlg7/Nv3YkcijNnSKvFE0ivxUJJPb6k3goseuCCy7wT/Ve/fP1oVjo0jbxl7iuRXlFFkp01bNKi9NKgSjxTCKMagYVt0Y4VbLLvzYVqSiBXpFLEklkn1jqPlN0nCLuJIDqfqm2+TZLhJJAWPhs1LP9scce86Loyj0b/fMrPQd8W1R7ViKUomp13eq+0TNY17XG0f4/+7M/84Q83auFzb8H9XyTGKEUkmJw4IEHeveLmEjE0r2mWnYSM4qbIvwknus4pY5TOnB9x+h+UN0s2SGhovBZWGleivvXZ0VlyRZFlen+kn3yS8+c4qbvIv1ARE3j6rxi0bv4nFKf6/FL/VQzd+We4TpfzyGlh/ztb3/r3SP69wAJrRLqtU3sJP4V/qikkfur0eef/j1DorgEKXHW/aPvEH3fj4yMeM9uXQvFgq5/7RV/Z4hBYfN/OKLnufrWtaXvBz2PFFGmpue+uNO6gwBCV3fMM15CAAIQCDSBXNqJXhM5S+3ImFId0lpPQNFlG37ycttTKtaaojDqMhjFh3os3h9F3Gr9ZcEIjoD+Y5AaXVwKEIBAJxHwha5Cn7Q4rcUxLdLrVeJErb9qL+yv1HstLEl40AKmFrdVmF6/NtdCnJpEA0UTKOKnnoXGUmPWu01CjWz88z//c7vblV4obOX2bd++3RMw5E9xhEulfVrU02KzRL7vfve7poX0wlZpga+RRdLpFo9lj4QafQdKDFIrTNnnL/wXC106TlFtV155pZcaTJ/VdI1JlFKfiuKQKFK8aFmpz3IcVDtOUUoSpgqbbFXUykUXXVQ2pZcW+7X4rQVh+es3natIg/PPP99Lc+hv918lDCviRandFA2ipigf1Sa67rrr7Ic//KEXDVhK6PKjySTASUQtXID2+y/12sz7R/W47rvvPm9sLQBrbmpp/rXjC4GKnJFgpigsCXm6f/UsEdvTTz/9DV3752tHKaFL2zUnYile/vUn4VQL2Lq2JDCWao1wqmSXf20qNaH8VWSK0vepdpaabJOAKGFUz9Bamn8fSxzSdVTrs9E/vxqhS3ZJoPrnf/5nz37/+tWcSbj86Ec/aqpdVar596DuKd0b/j3gi6YS+STGqRZYcaRWYX8SBJWiVgKOUu8WNkUfKfWnvgv8Vmle/GMKXyWYSQTVnPlN4psiMYubRBBFBeoaKxe9WnxOuc+1+qV+qpm7SkKX+lDE8Oc//3kvHaC+Y9U0n7oOJRLr3ixOU1nv/aW+G3n+6Xw1/RBAz279d5Z/f2u7fw0pUq0wOs2/9oq/M3ROYXvwwQe9H5kU/kDF3697V1Haek7TuocAQlf3zDWeQgACEAgFgbwL8MomXU2vHTn32h7VS/W6vvXd+222+4/ws//i9QK8oQDWgJGqJ7b2wc1tEbtm79Nr81YMVZWiMNYbNUVuxfqiFnEpCmkQaCcBhK520mYsCECg2whIXNAvzxVZUFgLZqY5KNpAAoAW04sXCCvte+mll7xfpUu4Km6V9imVnMSaeurDFI/T7M/6Bb5SWiqllBZOtRBZbRMrfY9K1NEiuhZfW9UkGGoBVmMqqktRKsVzV25s+SahTIKkUiDqWiyOZil1rs574YUXTCkQ999//1KHvGHbeeedZ1qMVZTT5Zdf/ob9tWyo9/757Gc/a7fddpsnKCh9XbOaRAtdK4qgqSR01DKe5lPCqSI+1K9EyFpbvZwKx/GFLkWuKZWg3yRuKN2qokCrvd78c/1XX+xQZJzEWTVFRurZqGuxVc9GcdFzSUKVhKDpRFdfbFBdK11DahIpdA9oXnQP1HqPK4pHwpSiu+RnLc8Xz4AK/9AzQfd1f3+/51+pa0f3vMQgiUX6EUZhKsYKXU+7q5V+VRpc16IEZ4lE1bBs5P6q5/lXbLuuwT/84Q/edaS0y3p2l5qn4vOm+6zIVX0f6BrQ94++D2oV9Kcbg/3hIIDQFY55wkoIQAAC3UnA1fHKumivzETWFIGUa1GWw3M/utpGXK0utY994ON2zju7R+ySz6rZte2FcZvYnNLHpjWlJxzat9/mHzrbSzdYruNoLGLx2S4l4QBRW+UYsb19BBC62seakSAAAQh0KwGlllLkixbKleZQi320ziOgRXeltJNooxRppVK7tdprRcdIiNUi8HQ1jFptS5j694WuUhGMjfrhC13VRmQ1Ol695/tC13RRNfX2PxPnqa6VossUbar7gQYBCHQWAYSuzppPvIEABCDQ0QSU1lBRXplxl+ZwvHmq1+nnvF50+oxTz7RL/88VHc2xnHPjI0l7+entDQleqp01e59+r/ZW2bph7se9iUEnbLm/aCJC1Fa5CWH7jBBA6JoR7AwKAQgUEVCkhH6VHISmxUBFpFTbVFNItU9olQkoTZvqehXX96p8FnvDREAp4R566CHTPaEUcTPRFDX0j//4j15NP6VYpFVHAKGrfJ286ggG7yhFM5122mlebTUJXkq7SIMABDqLAEJXZ80n3kAAAhDoLgISvhTxtTvr/lyqw5QLAaujXf9/P2s/fPgH3pmXXni5nXHaWXX00jmnTG5NeULi5FjKJkaTNjmWNtVRK9UUtdU/r8d6hxM2uLDvjakJnagVS0S9aC2lIow5Iczc/2kQCCoBhK6gzgx2QaA7CChtnOq1qKbKXXfd5UWCzLTn11xzjWmxvNr2ox/9yKurU+3x3XqcIm3e9a53eTWL7r///qbXSOtWrkHx+3vf+559+MMf9iJHNL/RaPvzcf/ud7+zs846y6tHVpgmLyiMgmwHQldnCV1KufjJT37Si+JSOsof//jHNaddDPL1im0QgMCrBBC6uBIgAAEIhJBANj9hqcyI9cVdXmxr/380BRlZPpN3gpeL+ppwAthk9ekOn/zNr2zJgsW2aOGSILs3Y7YpdWRq16vF42VEuWitaE/Eevqj3l9M0VouLSENAmEigNAVptnCVgh0FgHVZ/n0pz9tf/zjH736ErfffrtXy6qzvMSbQgISNhW9p1o5QYngK7SP9/UTkFg9OTlpc+bM8WoG1d9TbWfedNNNpno1v/71r+3RRx/1auEQNVgbQx2N0BV+oeuZZ56x++67z6s3qB9gKH2nnrXf/va3vQjH2q8KzoAABIJOAKEr6DOEfRCAAAReI+DkGydubbJUdtTS2a3e1sHEYdbbszeMKhF4rc5XzolfaYlfLvqL1iQCTsOK98ecqBWxWK+rr+VELqK1msSWbmaMAELXjKFnYAh0NYH/+q//shtuuMFSqZSdfPLJ9tnPftZbkOtqKDgPAQjUTODMM8/0ogR1YiKRsA996EN2ySWXeO9r7qyLT0DoCr/Qpagt1Rfz28qVK+3aa6+1Y445xt/EKwQg0GEEELo6bEJxBwIQ6DwC6ewrlsyOeBFcZnumj4vH5tvs3qM6z+lWe+Qw5rN5y7kApWxa0V85916f9+TbajNC0b/TrrwoLQlZLkJLaQijPU7PiiJqhWL+MLJmAghdNSPjBAhAoAECEraUGvCBBx7w0hRedNFF9t73vreBHjkVAhDoZgKK5lJUqFK1LV++3Hp7e7sZR92+K9JSqR/7+/tt1apVdfdT6sRnn33WVC/qoIMOsnnz5pU6JBDbXnrpJe9aWrRoke23336BsKkWI3QPjI6O2ubNm23JkiW2cOHCWk7nWAhAIIQEELpCOGmYDAEIdD6BTG6ni9xy0VuZUcvlJys6PKf/RItF+isew84aCLi6X/mci59zIljOiWA5V/dLdcDyGfe+Q4PBoi69YMRFY6l+lidmxV8Ts5R20P2fBoFuIoDQ1U2zja8QmHkCquNz1VVXeYudX/jCF+zwww+feaOwAAIQgAAEIAABCEAAAiEjgNAVsgnDXAhAoHMJ5PIpJ26NWNLV3srmtlftaH/8IOuPL6/6eA5skICiwRT45cQw9yOx1yLDnBDmIsSyqVdFMgll+px3+2eiRVzZNolX5qKu9BqVgKUoLAla+qyybm5fRCIWQtZMTBFjBpgAQleAJwfTINChBFSLa/Xq1TY8PNyhHuIWBCAAAQhAAAIQgAAEWksAoau1fOkdAhCAwLQEVHMr6WpvpbMvT3tsqQNi0Vk2p++tpXaxLQgEXsuG6Iljeu/e6P2rYpleX/0gUczb5u9zh/pClISrV987ceq1lIH67G+TWOUfGwSXsQECYSag4vFPPvnklAuHHXYYqU6maPAGAhCAAAQgAAEIQAACEIAABCAQPAJtEbqC5zYWQQACEJhZApncmBO3Rp24NeICg9INGzPUd7T1RPkVcMMg6QACEIAABCAAAQhAAAIQgAAEIAABCEAAAhAIFQGErlBNF8ZCAAJhJpDN73Y1t0a89ITZ3K6mutLbs68NJg5tap90BgEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAg6AQQuoI+Q9gHAQiEmoCr4uTErU1O3FL01paW+RKNxG1u/6kt65+OIQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQgEkQBCVxBnBZsgAIHQE5ColXJpCVMuPWHesm3xZ1bv4ZaILWrLWAwCAQhAAAIQgAAEIFCZQDabtZtvvtkWLVpkf/3Xf135YPZCAAIQgAAEIAABCEAAAnUTQOiqGx0nQgACENiTgNIRStxKuvSEOZemsN0tHltgs3uPaPewjAcBCEAAAhCAAAQgUERg8+bNdumll9rTTz9tw8PD9r3vfc8SiUTRUXyEAAQgAAEIQAACEIAABJpBAKGrGRTpAwIQ6FoC+Xx6StzK5LbNOIe5/adYNMIiyoxPBAZAAAIQgAAEINC1BJ544gn79Kc/bTt27LAVK1bYF7/4RVu4cGHX8sBxCEAAAhCAAAQgAAEItJoAQlerCdM/BCDQkQTS2c1e5JZqbwWpDSRWWF/PsiCZhC0QgAAEIAABCECgKwjk83m744477Pbbb7dcLmfvec977FOf+pTF4/Gu8B8nIQABCEAAAhCAAAQgMFMEELpmijzjQgACoSOQyW13Nbdc3S2XnjCXTwXS/lh0js3pOzaQtmEUBCAAAQhAAAIQ6GQCt956q911111eisKrr77a3v72t3eyu/gGAQhAAAIQgAAEIACBwBBA6ArMVGAIBCAQRAK5/KQnbiWduJXN7QyiiW+waajveOuJzn7DdjZAAAIQgAAEIAABCLSOwNatW+3iiy+2K6+80pYvX966gegZAhCAAAQgAAEIQAACENiDAELXHjj4AAEIQEAE8lPiVjr7SuiQ9MX3s4H4IaGzG4MhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCNRKAKGrVmIcDwEIdCyBdHaLS0s46kSuUSd1ZULrZzTSZ3P7Twqt/RgOAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBaAghd1ZLiOAhAoCMJZHPjXs2tpKu9lctPdIyPs3uPtHhsr47xB0cgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCJQigNBVigrbIACBjiaQz2ecuLXJi95KZ8c60tdEzxKblfiTjvQNpyAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI+AQQunwSvEIAAh1PIJ192ZLZEa/+Vsc7axEbHjjN/TPW+a7iIQQgAAEIQAACEGgDga9//et28skn27Jly9owGkNAAAIQgAAEIAABCEAAAtUSQOiqlhTHQQACoSSQye3wUhOmvNSEyVD6UK/Rg4k3WW/PPvWeznkQgAAEupLAyMiI/fCHP5zy/ZRTTrH9999/6jNvIACB7iMwMTFhV199tT300EO2YsUKu++++7oPAh5DAAIQgAAEIAABCEAgwATaInTdfffdtn79+ikMV1111dR73kAAAhBoNoFcPjlVdyvrhK5ubfHYPJvd+5ZudR+/IQABCNRFYN26dXbPPfdMnbt69WpbuXLl1GfeQAAC3UVg7dq1dvHFF9uGDRts8eLFduONN3piV3dRwFsIQAACEIAABCAAAQgEmwBCV7DnB+sgAIEaCKRcWsJkZpOls6/UcFZnHzqn/20Wiwx0tpN4BwEIQKCJBBC6mgiTriAQcgL//d//bVdeeaUlk0k79thj7YYbbrBZs2aF3CvMhwAEIAABCEAAAhCAQOcRQOjqvDnFIwh0FYFMbsyJW67uVnbU8vl0V/lejbP98QOtP35ANYdyDAQgAAEIOAIIXVwGEICACHzpS1+ye++914NxwQUX2Ac/+EHAQAACEIAABCAAAQhAAAIBJYDQFdCJwSwIQKA8gWx+wlRzS+JWNrer/IHssVh00Ob0nQAJCEAAAhCokgBCV5WgOAwCHU7gwQcf9CK4rr/+ejvqqKM63FvcgwAEIAABCEAAAhCAQLgJIHSFe/6wHgJdQyBv2dfErRGXmnBr1/jdDEeH+t5iPdF5zeiKPiAAAQh0PAGEro6fYhyEQNUEdu7cabNnz676eA6EAAQgAAEIQAACEIAABGaGAELXzHBnVAhAoEoCqreVdLW3UplRd0auyrM4rJBAb88+Nph4U+Em3kMAAhCAQBkCCF1lwLAZAhCAAAQgAAEIQAACEIAABCAQUAIIXQGdGMyCQDcTyOR2urSEErdGLJef7GYUTfE9EonbcP+pTemLTiAAgWARyDr9P5XN22QmZxOuTGEynXOfzTK5vHuGmmXzefccNYtF3F80YomYWdx9SLi/3njEBtxfX0/E2+Z20xwBhC4uAwhAAAIQgAAEIAABCEAAAhCAQLgIIHSFa76wFgIdSyCXT3niVtKJW9nc9o71c6Ycm9X7J25he8lMDc+4EIBAEwg4zcp2Z/K2fTJnW8aztjPZ/CjX4f6YzRuM2pzeqCWcANaN2hdCVxMuVrqAAAQgAAEIQAACEIAABCAAAQi0kQBCVxthMxQEIPBGAqnsqEncSmc3v3EnW5pGIB7by2b3Htm0/ugIAhBoDwFFa21zwtbojqztSjVf2KrkhWSu4YGoLZwVdc+PmKv1V+noztmH0NU5c4knEKhE4PHHH7ejjz660iHsgwAEIAABCEAAAhCAAARCQgChKyQThZkQ6CQCmdw2Ly2h0hPm8i7XFq0tBOb2n2zRSG9bxmIQCECgfgIuC6Ftmcjai9sy7kcALowrIG0gHrVlwzGb0xdzz5KAGNUCMxC6WgCVLiEQIAK5XM5uvfVWu/fee+0DH/iAXXDBBQGyDlMgAAEIQAACEIAABCAAgXoIIHTVQ41zIACBmglk87st7SK3kk7cyuZ21Xw+JzROYCBxiKvFs1/jHdEDBCDQdAKSs3a4yK0NY5m2R27V48xeAzHbe26PV+OrnvODfA5CV5BnB9sg0BiBsbExu/jii+2pp56ygYEBu+666+yEE05orFPOhgAEIAABCEAAAhCAAARmnABC14xPAQZAoJMJ5LzILYlb6eyWTnY0FL7FokMuEuO4UNiKkRDoFgKqu/WKi95asyXjIlyDE71VLf9el8/w4L16XGrDzslriNBV7exzHATCRUDi1t/93d/Zli1b7KCDDrKbbrrJli5dGi4nsBYCEIAABCAAAQhAAAIQKEkAoaskFjZCAAKNEJCopbSEqcyo5S3bSFec22QCQ33Hujo7c5rcK91BAAK1EpCmtXk8a2u3ZiwfQoGr2N+4y2V48IK4E9PDL3ghdBXPLp8hEH4CSlP45S9/2ZS28N3vfrddeumllkgkwu8YHkAAAhCAAAQgAAEIQAACHgGELi4ECECgKQSUjlDiVtKlJ8y5NIW0YBJQ6kKlMKRBAAIzR2Bsd9aefzmcEVzTUeuNRe3QRfFQpzRE6JpultkPgfARuOiii+zxxx+3K6+80t7xjneEzwEshgAEIAABCEAAAhCAAAQqEmiL0PXAAw/YyMjIlCHnnXfe1HveQAAC4SWQz6enxK1Mblt4Hekiy6ORXpvbf3IXeYyrEAgOgVQ2b8+Opm0inQuOUS2yZMFgzJbPi5vTvULXJicn9/j31gULFtjg4GDo/MBgCEDgdQI7duzw7utDDuHHPq9T4R0EIAABCEAAAhCAAAQ6h0BbhK7OwYUnEICACKSzm73IrVR2FCAhJDC79wiLxxaE0HJMhkA4CSgz4cYdWXtxWzqcDtRpdcQidtCCHttrIFZnD5wGAQhAAAIQgAAEIAABCEAAAhCAAASmJ4DQNT0jjoAABByBTG67V3Mrld3kUhOmYBJiAonYIpvVe3iIPcB0CISHwGQmb09vSrlnqFO7urTN7nXpDBcmXH3ALgWA2xCAAAQgAAEIQAACEIAABCAAAQi0lABCV0vx0jkEwk0gl086cWuTJV3trWxuZ7idwfo9CAz3n2qRSHyPbXyAAASaS2B0V9bWbOmuKK5yBKORiK1cnLBZiUi5Q9gOAQhAAAIQgAAEIAABCEAAAhCAAATqIoDQVRc2ToJAJxPIO3FrxBO30tlXOtnRrvZtMHGo9fbs29UMcB4CrSKg4K3nX07Z2O7Or8VVK8P9huO2dIhUhrVy43gIQKAygZ07d9rs2bMrH8ReCEAAAhCAAAQgAAEIQKBjCSB0dezU4hgEaiOQzm61lIvcUt2tfD5T28kcHToCPdFhG+o7OnR2YzAEgk4g6VIVPtXlqQqnm6MhpTJclLAYwV3ToWI/BCBQBYH//M//tJtvvtnuuOMOO+SQQ6o4g0MgAAEIQAACEIAABCAAgU4jgNDVaTOKPxCogUA2Nz4lbuk9rbsIzOk7wWLRwe5yGm8h0EIC4ymJXMkWjtA5XcdcKsMj9+61OMFdnTOpeAKBNhNIJpN27bXX2ve//31v5GuuucbOOuusNlvBcBCAAAQgAAEIQAACEIBAEAggdAVhFrABAm0koGitVyO3RiydHWvjyAwVNAL98eXWHz8oaGZhDwRCSWD7ZM5+O5oKpe0zZbTqdh2xNOHSqBLaNVNzwLgQCCuBDRs22MUXX2xr1661+fPn20033WQrV64MqzvYDQEIQAACEIAABCAAAQg0SAChq0GAnA6BsBBIZ1/26m6lMqPOZFdAhtb1BKKRAZvb/7au5wAACDRK4OXxrP3hlXSj3XTl+RGL2Jud2NUfR+zqygsApyFQB4Gf/vSndvnll9vu3bvtqKOOsuuvv96Gh4fr6IlTIAABCEAAAhCAAAQgAIFOIYDQ1SkziR8QKEEgk9vxavRWZsRyedJplUDU9Ztm9x7lUofN73oOAIBAvQRGd2VtzRZErnr5+eetWtJrsxKIXT4PXiEAgdIEdu3aZe985ztNr+eff7595CMfKX0gWyEAAQhAAAIQgAAEIACBriKA0NVV042z3UAgl085cWuTJZ24lXVCFw0ClQj09uxtg4nDKh3CPghAoAwBIrnKgKlz8+FO7BpE7KqTHqdBoHsI/OxnP7NoNGonnHBC9ziNpxCAAAQgAAEIQAACEIBARQIIXRXxsBMC4SGgulsSt5SikAaBaglELGbDA6e5w4mkqJYZx0FABKjJ1Zrr4Oh9+lyUaWv6plcIQAACEIAABCAAAQhAAAIQgAAEOpMAQldnzitedQmBTG7ME7dS2VHL50md1SXT3nQ3ZyVWWqJnadP7pUMIdCqB3em8PflH0sG2Yn5j0Yi9ZZ9ei6G9twIvfUIAAhCAAAQgAAEIQAACEIAABDqSAEJXR04rTnUygWx+t6Uym1x6wlGXmnBXJ7uKb20iEI/tZbN7j2zTaAwDgXATyOTMHn8p6X5ckA+3IwG2fjARtVVLEsSZBniOMA0CEIAABCAAAQhAAAIQgAAEIBAkAghdQZoNbIFAGQJ5yzpxa8SJW0pNuLXMUWyGQP0E5vafZNFIX/0dcCYEuoCApK0nN6ZsUmoXraUEFs2K2QHz4y0dg84hAAEIQAACEIAABCAAAQhAAAIQ6AwCbRG6nnzySdu+ffsUsVNOOWXqPW8gAIHyBNLZLZbMuuitzKg7iIXV8qTY0yiBgfjB1hffv9FuOB8CHU1g3daMbdqZ6Wgfg+TcioVxm9ff/oJd69ats3vuuWcKxerVq23lypVTn3kDAQi0jsCjjz5qd955p335y1+2np6e1g1EzxCAAAQgAAEIQAACEIBARxFoi9B199132/r166fAXXXVVVPveQMBCOxJIJPb6UVuSdzKuTSFNAi0g0AsOsvm9L21HUMxBgRCSWD7ZM5+O5oKpe1hNvroffos3matC6ErzFcMtoeZwG233WZf+9rXPBe+8IUv2Kmnnhpmd7AdAhCAAAQgAAEIQAACEGgjAYSuNsJmKAiUI5DLp7yaW6q9lcm9Hv1Y7ni2Q6AVBIb6jrGe6NxWdE2fEAg1AWUqfOzFyVD7EFbj+3qidsTe7a3XhdAV1qsFu8NKYMeOHXbZZZeZorn6+/vt6quvtj/90z8NqzvYDQEIQAACEIAABCAAAQjMAAGErhmAzpAQ8AmksqOv1d7a7G/iFQIzRqCvZ5kNJFbM2PgMDIGgEvjNSMp2JEkfO1Pzs8/cHtt3TvtSmCF0zdRMM243Enjuuefsk5/8pG3evNmWL19uN954oy1btqwbUeAzBCAAAQhAAAIQgAAEINAAAYSuBuBxKgTqIZDJbfNqbqVc7a1cPl1PF5wDgZYQiEYSNrefGootgUunoSXwykTWfv8yz+qZnsAj9+61vp5IW8xA6GoLZgaBgJfa/pxzzvFInHnmmXbFFVdYb28vZCAAAQhAAAIQgAAEIAABCNRMAKGrZmScAIHaCeTyk07c2mTJ7Ihlc7tq74AzINAmArN73+zq4Sxs02gMA4FgE8jmXcrCDUnLu//RZpbAQDxqb16aaIsRCF1twcwgEPAIXHPNNXbYYYfZ6tWrIQIBCEAAAhCAAAQgAAEIQKBuAghddaPjRAhMRyDnpSVMuvSE6ewr0x3MfggEgkDCiVyznNhFgwAEzNZtzdimnRlQBITAioVxm9cfa7k1CF0tR8wAEIAABCAAAQhAAAIQgAAEIACBphJA6GoqTjqDgDlRa4ulXORWKjPqYgCyIIFA6AgofaHSGNIg0M0EJjN5+9XGZDcjCJzv0UjEjtm31z2fWmsaQldr+dI7BCAAAQhAAAIQgAAEIAABCECg2QQQuppNlP66koDSEUrcSjpxK5ef6EoGON05BAYTh1pvz76d4xCeQKAOAs+MpGxnMlfHmZzSSgLLhuO291Bro7oQulo5g/QNAQhAAAIQgAAEIAABCEAAAhBoPgGEruYzpccuIZDPp18Tt0Ysk9vWJV7jZjcQ6InOtaG+Y7rBVXyEQEkC46m8PbWJaK6ScAKw8Zh9+6wn2jpDELpax5aeIQABCEAAAhCAAAQgAAEIQAACrSCA0NUKqvTZ0QTS2c0ucsulJnS1t2gQ6FQCQ33Hu4Xk2Z3qHn5BoCKB37horh1Ec1VkNJM793NRXUtbGNWF0DWTs8vYnURg7dq19sQTT9g555zTSW7hCwQgAAEIQAACEIAABCAQQAIIXQGcFEwKHoFMbrtXcyuV3eRSE6aCZyAWQaDJBPrj+1t//OAm90p3EAg+AWpzBX+OIhaxY5e1rlYXQlfwrwEsDD6Bn//853bZZZfZxMSEfeMb37BDDjkk+EZjIQQgAAEIQAACEIAABCAQWgIIXaGdOgxvNYFcPunELVd3y4lb2dzOVg9H/xAIFIFopN/m9p8YKJswBgLtIPDcy2nbOpFtx1CM0QCBA+fHbeGs1tTqQuhqYGI4FQKOwNe+9jX76le/apFIxD72sY/Z+9//frhAAAIQgAAEIAABCEAAAhBoKQGErpbipfMwEkhlNjlxa8TS2VfCaD42Q6BpBGb3HmXx2Pym9UdHEAg6gbTTtx5/aTLoZmKfIxB1C+iK6oq0gAZCVwug0mVXEEgmk14U1yOPPGLDw8N244032uGHH94VvuMkBCAAAQhAAAIQgAAEIDCzBBC6ZpY/oweEQDq71au5lXICVz6fCYhVmAGBmSXQ27PUBhMrZ9YIRodAGwlsGMvYxh18B7QReUNDHbYoYXP6og31UerkkZERe+CBB6Z2nXLKKbZ8+fKpz7yBAATeSGDTpk328Y9/3NasWeOJW5///Odt/nx+LPNGUmyBAAQgAAEIQAACEIAABFpBoC1C15NPPmnbtm2bsv/UU0+des8bCASBwGR6nU2kfx8EU7ABAoEhELGozR041UVMtCY9WGAcxRAIOAL5vNkvNhDNFaaLYTARtcOXJMJkMrZ2GIGHH37Yfvazn5X0KhqN2t57720HHXSQ97do0aKSx3XKxvXr19t5551nf/mXf2kXXnihyX8aBCAAAQhAAAIQgAAEIACBdhFoi9DVLmcYBwL1ElA9rm27f1rv6ZwHgY4lMJg4zHp79u5Y/3AMAj6BncmcPTOS8j/yGhICx+zbZz2sp4dktjrPzBtuuMFuueWWqhybNWuWrVq1yq644go74ogjqjonbAft2LHDhoaGwmY29kIAAhCAAAQgAAEIQAACHUAAoasDJhEXmkNgZ/JX1OVqDkp66SACqtGlWl00CHQ6gec2p23rblekixYqAgfuFbeFg0SdhmrSOsjYQqFrv/32s/7+/invxsfHbePGjZbL5aa26Y0ind73vvd5taxmz569xz4+QAACEIAABCAAAQhAAAIQgEB9BBC66uPGWR1IIJXZZLtSz3SgZ7gEgcYIzOk/0WKR1xfvGuuNsyEQPAI5l7bwf0hbGLyJqcKiPhfOdeTepC+sAhWHtIBAodD1ne98x97ylrfsMUo6nbZ169bZ2rVr7cc//rH927/925TwpVSGd955Z8dGd+0Bgg8QgAAEIAABCEAAAhCAAARaTAChq8WA6T5MBPI2tvthV6clEyajsRUCLSfQHz/Q+uMHtHwcBoDATBHYPpmz346StnCm+Dc67tH79FmcoK5GMXJ+HQSmE7qKu1Td4ssuu8yefvppb9chhxxiP/rRjywejxcfymcIQAACEIAABCAAAQhAAAIQqIEAQlcNsDi08wmMp35ryczGzncUDyFQA4FYdJbN6XtrDWdwKATCReB3Lm3hGGkLwzVpBdYeON+lL5yF0lWAhLdtIlCr0CWzlMrw3HPPtUceecSz8tJLL7WLLrqoTRbXP8zY2Jht27bNli9fXn8nnAkBCEAAAhCAAAQgAAEIQKBFBBC6WgSWbsNJIJ3dajuTvwyn8VgNgRYSGOo72nqiwy0cga4hMDMEXNZC+8X6yZkZnFGbQmAwEbXDl5C+sCkw6aQmAvUIXRrghRdesNNPP90ymYz19vbaQw89ZPvvv39NY7fz4Oeff94T41SDTOkX+/r62jk8Y0EAAhCAAAQgAAEIQAACEJiWAELXtIg4oNsIbJ/8uWVz493mNv5CoCKB3p59bTBxaMVj2AmBMBKYzOTtVxuTYTQdmwsIHL+szyKRgg28hUAbCNQrdMm0a6+91r7yla94Vn7oQx+ya665pg0W1z6EUiteffXVlkql7Mwzz7Qrr7ySVIu1Y+QMCEAAAhCAAAQgAAEIQKDFBBC6WgyY7sNHYHf6BdudXhM+w7EYAi0kEInEbbj/1BaOQNcQmBkCm8ez9sIr6ZkZnFGbRuCIpb2uliBKV9OA0lFVBBoRutavX28nnHCCN87JJ5/sRUpVNWibDlKKxVtuucXuu+8+i0aj9olPfMJLudim4RkGAhCAAAQgAAEIQAACEIBATQQQumrC1ZyDszmzVDbvxJScjafzNpnKW9p9Trnt2Vze/bnXfN6i7qfJMbdmE4tGvCLrcfehryfioioibjEnar3ufU+0OTbRy+sEFM2lqC4aBCCwJ4FZvassEVu850Y+QSDkBH63OeXqc7kvXlqoCRzg6nQtok5XqOcwjMY3InRls1k74IADvPSFS5cutcceeywwCHbu3GmXXHKJZ9PQ0JBdd911duyxxwbGPgyBAAQgAAEIQAACEIAABCBQTAChq5hIkz+r9sekE7O2T+bsFfer8Z3J5i+mSfSaPxh10RYxG3C/Zna6GK1BAjuTjzvxcazBXjgdAp1FIB5bYLN7j+gsp/Cm6wn8P+pzdcQ1MLcvam9aRJ2ujpjMEDnRiNAlN0866SRbs2aNS7sZMdXBGhgYCIT39957r33pS1/yhLibb77ZJMTRIAABCEAAAhCAAAQgAAEIBJkAQlcLZiedNds2mbXRnVnblcyb/tfONuCEr0WzYza3P+pFgLVz7E4ZK5l5ycZTz3aKO/gBgaYRmNt/ihPTWUxuGlA6mlEC+r5+/KXJGbWBwZtH4K379TWvM3qCQBUEGhW6/uZv/sYeeughb6QHHnjAVq1aVcWo7TlEQtf5558fGPGtPV4zCgQgAAEIQAACEIAABCAQVgIIXU2aOaUe3DKRs43bM15awiZ123A3Snu42KXyWeiEL6U9pFVHIJ/PuFRWD7uD2ytSVmcdR0Fg5ggMJFa4Z8mymTOAkSHQRAKKsn5mJNXEHulqJgkcs28fKZ1ncgK6cOxGhS4JST/4wQ88cno9/PDDA0FxfHzc3v3ud9vb3/52u/DCCxG7AjErGAEBCEAAAhCAAAQgAAEIVCKA0FWJzjT7XDkt27o7axu2Zi2pwlohaPvPi9uCwRgLQVXM1a7U05bKjFRxJIdAoHsIxKJDNqfvuO5xGE87msDorqyt2ZLuaB+7ybkjlva6Gqb8qKeb5nymfW1U6Dr99NPtueee89xQ6sLBwcGZdskb/9FHH7ULLrjAez9//ny79NJLTbbSIAABCEAAAhCAAAQgAAEIBJUAQlcdM+OCt7y0hOvHwrs4piivfebGLR6rA0CXnJLOvuxqqj3ZJd7iJgSqJzDkhK4eJ3jRIBB2AmudyDXixC5aZxB408KEl7a5UW8mJydtdHR0qpu99torMALElFG8CQSBRoSuXC5nBx54oKVSKVu8eLH98pe/DIRPvhGbNm0y+ffII494m0488US74oorTPcDDQIQgAAEIAABCEAAAhCAQNAItEXoUs75wgWD97///UHjUJU9ErhGXN2tDSEWuIodVXTXfsMIXsVc/M/bdj9iuTz1W3wevEJABPri+9lA/BBgQCD0BJ7alHL1GMMRkR162G1wQP8+s3So8V/wrFu3zu65554pi1evXm0rV66c+swbCPgEGhG6XnzxRTv++OO9rt72trfZ/fff73cbqNef//zndv3119vGjRs9wffv//7v7YwzzgiUjRgDAQhAAAIQgAAEIAABCECgLULX3XffbevXr5+ifdVVV029D8ubzeNZe+GV8EZwTcd5yVCPLZvbY66kF62AwET6eZtMv37tFuziLQS6lkA00ueiJk7qWv9xvHMI/GJ90lVidL9ioXUEgfkDMTtkQbxhXxC6GkbYNR00InTde++99pnPfMZjpR8Bfu5znwsst0wmY7L3zjvvtBtvvNGOO44UxoGdLAyDAAQgAAEIQAACEIBAlxJA6Jpm4ifSeXtuc9omM93xi+9DF8ZtuL/xX0NPgzU0uzO5HbZj8n9CYy+GQqBdBGb3HulSn5K+qF28Gaf5BCRv/WI9EbvNJztzPfbHo3bE0kTDBiB0NYywazqoV+jasmWLnXTSSbZ9+3aPlaK5FNUV9LZjxw4bGiJ1cdDnCfsgAAEIQAACEIAABCDQjQQQusrMes6tgG0Yy9imnZkyR3Tu5jl9UTt4rwT1u16b4u1O6Mo6wYsGAQi8TiDRs9hmJVa9voF3EAgZAX3P/88GhK6QTVtFc3tcWPox+/ZWPKaanQhd1VDiGBGoV+j6+Mc/bv/xH//hQVRqzFtuuQWgEIAABCAAAQhAAAIQgAAEINAAAYSuEvDGU3l7eiRl+Xx3pzNS+h+lAer2NpnZYBOp57odA/5DoIhAxIYHTrWI9RRt5yMEwkFAgdqPvYjQFY7Zqs7KaCRixy1D6KqOFkc1g0CtQtf4+Lgnat16663e8MPDw/bTn/7U5s2b1wxz6AMCEIAABCAAAQhAAAIQgEDXEkDoKpr6P+7I2vqxzq3FVeTutB8XDMbswPlxc2tHXdty+ZRt2/2TrvUfxyFQjsBg4k3W27NPud1sh0CgCaSzZo+/hNAV6Emqw7i37tdXx1l7nkJE1548+FSeQC1C17e//W37p3/6JxsdHZ3q8Oabb7b3vOc9U5874c0zzzxjy5YtI8VhJ0wmPkAAAhCAAAQgAAEIQCBEBBC6XpsspTB6/uWUje3ujlpctVyjiVjEVi1JmF67te1MPmnp7Mvd6j5+Q6AkgXhsns3ufUvJfWyEQNAJJDN5e2JjMuhmYl+NBI53Qlej/7aC0FUj9C4+vFDo+sQnPmHLly/3aGSzWdu4caPpWlq7dq33NzY2NkVKx0n0Ou2006a2dcKbXbt22dlnn+25cvHFF9sZZ5zRCW7hAwQgAAEIQAACEIAABCAQAgIIXW6StNj11KaUZaR20coSOGxRwlS/qxtbKjtiu5JPd6Pr+AyBigTm9L3NYtGBisewEwJBJDCRztuv/4jQFcS5acSm45b1mSvV1VBD6GoIX1edXCh0VeN4f3+/XXTRRfaRj3zEEolENaeE6ph0Om133XWX96f3xx9/vF1++eW2ZMmSUPmBsRCAAAQgAAEIQAACEIBA+Ah0vdC1S/W4NrHQVe2le+BecVvo0hl2Yxvb/bCr20Zay26ce3wuT6A/foD1xw82KS01AAAAbklEQVQsfwB7IBBQAqrH+RTf/wGdnfrNOtYJXY0GoCN01c+/286sJHTNnTvXDjjggKk/RXEde+yxtnjx4o7HtGHDBi9i7Ve/+pX19fV5wt65555r0Wh3/mCu4yccByEAAQhAAAIQgAAEIBAAAv8fAAD//0fYCy0AAEAASURBVOydB5wURfbH34bZ2QwsOeesBMkGwHQqZsETTz3xgqd/cz4jZjFg9tS7M3B6pxjOcOaIxylIRkCQHJclLiwbZ9O/f4U19s7OzE6e7plf+dHp6a6urvp2dc36fv3eS6k3ikS5vPzyy7Jp0yb3VaZOnerejudGSVWdrChyxbMLtrx29wKHtMtLs2Xfw+l0mWuVVNVsCacJnksCCUcgLTVHmmUennDj4oASn0BFdb0sKaxK/IEm2QhHdcmU1JTwBr1x40aZMWOGu5FJkybJwIED3d+5QQIkEBiBd955Rx5//HEpKyuTESNGyLPPPhvYiaxFAiRAAiRAAiRAAiRAAiRAAkESSElWoWt/ZZ38uIMiV5DzxV29WwuHtM9PLrGrpq5YSioXuBlwgwSiSaCurl5Sw7XWRrODprbznMPEkVZg2sNNErA+gcqaelm8jUKX9e9UcD0cbQhdKRS6goPG2iQQRQJ79+6VRx55RI488kiZMGFCFK/EpkmABEiABEiABEiABEiABJKZQFIKXRS5IjPluxpiV4ckE7v2V86R2rrSyABkKwlDYMP6XfL6P7+X1q3z5HcXjw1ZoEI787/fIOvX7ZItm/aIM9N4xjo2l8OP7GX829uyvJzpnSQno79l+8eOkYA3AtW19bJgK4Uub2zsvG90V0PoCnMA9OgKEyBPJwESIAESIAESIAESIAESIAESIIEYE0g6oavUVSfLttOTK1LzrEdLh7TNTR7Prorq9VJRvS5S+NhOghB4Yvpn8uPyQjWayeePlqOP7RfUyCorq+WdtxbKN1/9JL6iyY47uq+cc94oSUtLDartWFROSUmXFllHx+JSvAYJRIxATZ3I/C2VEWuPDVmDwBhD6Aq3UOgKlyDPJwESIAESIAESIAESIAESIAESIIHYEkgqoavKCFO0iGGKIj7D+rXJMIzc1jO+R3ygRoO19RWyv+J/0WiabdqYwD9e+la+/e8aNYJTzxwip5w2JODRwIvr+We+luK95eqczCyHdO3WUvLys2TThl2ya+cvHoRnnztCjvuVNfPE5GYcIhnp7QMeNyuSQLwJ1BpC1zwKXfG+DRG9fqoRs3BUF2fYbVLoChshGyABEiABEiABEiABEiABEiABEiCBmBJIGqELb24vNEIU1dXXxxRwslxsUHunEbos3GBB9qB1oGqRVNfusUdn2cuYECgvr5KX//6tpDtS5fzfjpHsHO+G1urqWlm6eLP8sGSLXDDlCKmurpG773hPiVzZORky4dRBhjfYAElPPygcY7l69+2F8smHy9Q4cnOdct9DEyUzKyMm4wrmIo60VpLnHBrMKaxLAnElYKTBk+8306MrrjchwhfPNNbOoR3DXx/37dsnS5YscfduwIAB0qZNG/d3bpAACUSewKJFi2TDhg0yceLEyDfOFkmABEiABEiABEiABEiABBKeQEyErnhThLF4SaFLKqF2sUSFQIrxFvWwjk5xJEEUw6qabVLm+jEqHNloYhNYtXK7PPbQp2qQp5w+WBwZafLOm4ukXYdmcuMtEyTHh0D29ONfyLKlW9V5JxvnnXaGNQWl5llGfrIU7yJfYt9Zjs6uBOZsotBl13vnrd/wLoeXOQsJkID9CJx99tlK6Orbt6/ccsstMnCgNT3Y7UeWPSYBEiABEiABEiABEiCB5CCQFELXmt3VsrusNjnuaBxH6Ug1xK5OTjE0r4Qu9VIr+8pnSb1QOE3oGx2FwUF0v+WGN2TvnnIlcsFD60BJpdx8xynSqXOBzytu27LX8Px6Xx1v1jxLpk3/taQaz5vVSrajj2Q6ulqtW+wPCfgksHgbX4LxCceGBzo1T5fOzdJt2HN2mQRIYNu2bXLPPffIggULjP+XSJFTTjlFrrrqKmnevDnhkAAJkAAJkAAJkAAJkAAJkECTBBJe6NpdXitrdlU3CYIVIkOgbW6a9GjpiExjFm6l1LVcXDXbLdxDdi1eBLYaotScb9fJCRMOkXwjz5ZnefftRfLxBz+4d/fu21au//NJ7u++Nh5+4CNZu3qnOnzFtcfLIYd29FU1bvvTUvOkWebouF2fFyaBYAms31MtO0r5Ikyw3Kxav29rhxRkJ4FruVVvAPtFAhEg8NFHH8mjjz4qCCGam5srF198sUyePNl4wSc58gFHACGbIAESIAESIAESIAESIIGkJJDQQpertl7l5UrKOxvHQfc3wgY1N8IHJXJBji7k6mIhATOB/7y7WD54b6nadfa5I+S4XzUOu7OjaL/ccfM77tOGj+ouf7xknPu7r43Z/10tr770nToc6Dm+2orm/vzMkZKe2iyal2DbJBAxAhC5IHaxJAaBwR2cku2wnrdrYtDlKEggdgRKSkpk+vTp8uGHHxovDeULxK/MzMzYdYBXIgESIAESIAESIAESIAESsB2BhBW6ECJs0bYqgdjFElsCCDcy3AhhaOSET+iyr+J/UldfkdBj5OCCI7B2zQ55+P6P1UmdOreQ2+8+3WsD0+75QDas362OjT6ip1z0h6O81jPvrKhwyQ1XzZTq6loV9vCRx8+RzCzr5aLJTO8q2Rl9zF3nNglYlsCBqjpZXuSybP/YseAIjOicmfB/ewRHhLVJwN4EEMawuLhYjj/+eHsPhL0nARIgARIgARIgARIgARKIOoGEFbo2FtfI9pKaqAPkBbwTyMlIlUHtrWeE997b0PaWV6+RyuqNoZ3MsxKWwG03vSW7dpaq8d1x92nS0UvurVlfr5LX/jFX1WndJlfufXBSQDz+9tw3suD7Daru+RcdLkeNtZ6glJriNDw6xwY0HlYigXgTqDZehlmwtSre3eD1I0RgTFd6fEQIJZshARIgARIgARIgARIgARIgARIgAVsRSEihq6K6XpYU0nAV75nYs5VD2uQkbq6MmroDUlJ5UKyIN2teP3oEamvrZEdRifHvfulkiFat2+T5vdgH7y2R/7y7RNU57oSBcvbkEY3ql5VVyY1Xz5Samjp1bNqjZ0uLFjmN6nnuWL5smzz16Odqd68+beSGmyd4VrHE9zznYHGktbFEX9gJEvBHAD7fczdV+qvCYzYhkGu8YHNogr9gY5NbwW6SAAmQAAmQAAmQAAmQAAmQAAmQQMwJJKTQtXibSyp/NiDHnCgv6CaQIikyorNT0hI4hGFJ5TypqdvvHjM3EocAwhC+NXOBbN64RyB26QIPrGEjustpZw6VNC+Te/euA3LbTW8LwqfmN8uUBx89x0ig3jhnzHPPfC2LF2xSzV74+yPk8CN760v4/Kyrq5ebrp0pJfsrxYgQaniCTZRWrf0Lbz4bi+KBjLS2kuscFMUrsGkSiByBZdtdUur65RmPXMtsKZYEuhc4pF1e4r5cE0uWvBYJkAAJkAAJkAAJkAAJkAAJkAAJ2I1Awglde8prZfUuJpa3ykRsl5sm3Vs6rNKdiPejqmaLlLlWRbxdNhg/AqWllfL2Gwtkzv/WKrHKV0/69G0rl1x+tOTkNg6V9ci0j2XNTzvUqZdfc5wcOqhTo2aWLt4if3nyS7W/b/92cu2NJzaq423HWzPny+efrFCHTjljiJx6+hBv1eK+r0XWeEOMS9xnP+6A2YGIESg6UCsb9vLvhogBjVNDgzs4JdvR+KWCOHWHlyUBEogRgfXr18tdd90lt956q/TpY72QzjHCwMuQAAmQAAmQAAmQAAmQQNITSCihy3B2kPlbqqQOrhQsliEwtKNTMtMT0/hUV++SfRXfWIY1OyJSVVUj7769ULJznEGLQPCYeuCeD5QXF1giTOHxJx4iXboWiNPpkBXLt8qnHy2XAyUHQ53h+G13niqZWQ3z0X07e43848Vv1e0YPrKb/PHS8Wrb/B94id10zUw5cKDKEIRS5IFHJkmLgqbDF27bWix33/6eaqpV64P5veDdZbWSk9FPnOmdrdYt9ocEGhFguONGSGy5Y1SXTPHiPGvLsbDTJEACgRN46qmnZMaMGeqEs846Sy6//HLJz88PvAHWJAESIAESIAESIAESIAESSAgCCSV0bdlfI1v31STEjUmkQeQYeTMGJXDejNKqpeKq3ZlIt8zWY4FH1nVXvC55eU558LFzvIYX9DXALz5bIW++Nl8dPub4/jLx1yMkPb1h7M1dO0vksYc/lT27y1S9k04ZJGdMPKxBk5UVLrneyMFV7aoVhyNNHn7iHMnyEMNwwsx/fS9ffb5SnXv6xKEy4ZTBDdrx9eXeO9+XLZv2qsM33HKS9Ord1lfVuO1PT20h+ZnD43Z9XpgEAiWAd2PmbmaerkB5WbFetiNVBndo+MKBFfvJPpEACUSHwBdffCGPPPKI7N692/j7L08uvfRSmTRpkhE6uuHfcNG5OlslARIgARIgARIgARIgARKwAoGEEbqQkmv+FhqqrDCpvPXh0PZOyc2woNuJt84Gua+6doccqPohyLNYPVoE4JV16e8Pvtn7f1ceK4OH/uJVtGd3qcz5bq2MHtOzUW6r4uIymXrzO8ojrGfvNnLDzScpTytv/fxpVZE8+uAn6pAjI03unTZRmrfIblD1hee/kXlzN6h95085XI4a1ziczuZNe+S+O/+j6rRt10zufuDMBm34+mIW5I4c21suuOgIX1Xjur9Z5hgjR19uXPvAi5NAIARW7jC8cyuZpysQVlas08MIkdzWCJXMQgIkkLwESktL5bHHHpP33jvo9d6zZ0+ZNm2adO/ePXmhcOQkQAIkQAIkQAIkQAIkkEQEEkbo2rq/VrbsY44Nq87dXMOr69AE9uraVzHLCJnJ+WeV+XflJa8qwWro8K4y5fdHysL5G2Xut2tlzeodKu/WyacNltPOHNqgu9/PWScv/nW22nfZ1cfKoMG/CGQNKv785XHDq2vlj9vVt6PG95HzLzy8QbUVy7fJk9M/V/sgnN14y4QGx/WXu257Vwq37VNf/3z7ydK9R2t9yOfngZIK+fN1b0qPXq1l3NH9ZPhIaxpxshzdJcvRy+c4eIAErEJgX0WdrNzpskp32I8gCQzr5JSMtMR8mSZIFKxOAklPYNmyZXL33XfLtm3b5IMPPpCCgoKkZ0IAJEACJEACJEACJEACJJAMBBJC6KpFbq7NVVJv/MNiXQJDjETxWQmaKL7c9ZNU1my2Lvwk69mNRu6r/fsqVNjCVMP4iRCCuiCv1XEnHCJHH9tP71KfH7y3RP7z7hK1/dBjv5ZmzRt6aOnKW7fslTnfrhMIYzpXV2amwwhPOFkyDO8uXeBZ9ufr3lD9wL57H5yocn7p4/rz04+Xyb/fWKi+jjumr/zmgjH6kN9PhGjMzc30WyfeB1NTsqV5ljW9zeLNhte3FgH8HTGP4QutdVMC7E2akZhrZGdngLVZjQRIIFkILFy4UIYNG5Ysw+U4SYAESIAESIAESIAESCDpCSSE0LWjtFbW76E3jdVnc4usNOnXxmH1bobUv5q6fVJSeTC3U0gN8KSIEXjnrYXyyYfLGrSXmeWQYSO6yejDe0rvPu2MkIQNDqsvL/19tuH1tU5tP/X8BQ1EqxLDgwrCFo5v3VLc4OROnVvI6CN6ytjx/cTpTG9w7O03FshnHy9X+04+3fAiO6OhFxkO7N9XLjdd+6bhaVYvOTkZ8tDjkxvlBWvQqM2+5DkPE0daS5v1mt1NRgIrilxSUsXwhXa7990KHNI+75eXDCLR/6KiIvn000/dTY0bN066devm/s4NEiABEiABEiABEiABEiABEiABEiABaxGIidD18ssvy6ZNm9wjnzp1qns73A34cM0zvLnqkE2exfIEhnfKNIzelu9mSB3cXzlHautKQzqXJ0WGwBuvzZMvP/uxQWPw4Lrz3jMFubT8lb88+ZUsXXzQK2/qvWco7yt8n/vdOlmxbJvAQ0uX/PxMGWnk+RpjCFydOvsOiYOQhAhNiIJ+3PvgJK8i2xPTP5MflxeqepdcfrQMHdZVbSfCf5zpHSQnY2AiDIVjSHACxRW1smonX5qx220eboQtdEQ4bOHGjRtlxowZbhSTJk2SgQO5jrmBcIMESIAESIAESIAESIAESIAESIAELEbA9kLXfiN5/I9GEnkWexDokJ8uXVs09HqxR8+b7mVl9QYpr17bdEXWiBqBB+/7UCorqpWH1ddfrJTiveXqWnc/cKa0bdfM73U/eN8IXfjOwdCFffu3ky2b9kp5+S9ri8NQaAcN7WyIW71k4CEdJdUIlxVIue/O92Wz0RbKdX8+Ufr0bdfotHlz18sLz/9X7T/m+P5yzm9GNapj1x0pkiYtsscb3U+16xDYbxOBGsPhyWXE+auorjP+FakyPvHd+FCfdcZnrfHiCcLJQXtA3iSIEE5DZ850pEp2hrGdfnBfhLUJUy9D22T4wtC4xfMszC/k54p0odAVaaJsjwSsSaCkpETy8/Ot2Tn2igRIgARIgARIgARIgARIICgCthe6Fm9zGbmRGGooqLse58qjumRKgBpBnHsa3OXr6itlX8Xs4E5i7YgSKC+vkuzsg0ZPcwjDk04ZJGdMPMzvtVb+WCiPP/xZozo9e7U2hLNeMnxkN3fbjSr52fHl5z/KG/+ap2ocMba3/PaixjmrkEPs/fcWy+jRPaSjHw8xP5ex9KFcw6Mrw/DsYrEXATgxVlTXyz7jhZI9ZbVS5or8b22LrFQpyEmTZs5UY46kSGDycfQ4rt5VLXvKf8npF70rseVIEOjZyiFtjPkT6UKhK9JE2R4JWI9AYWGhnHPOOTJhwgS54oorjLynudbrJHtEAiRAAiRAAiRAAiRAAiQQMAFbC114i3zh1qqAB8uK1iAwoG2GNMtMTO+OA1WLpbp2tzVAJ0AvEC4QAtS2rcVSaPxbVFQiHTs1Vx5V/Qa09ys8FW3fL1NveUdRKGiZLfc/fLYRNtC3Gb2ywiVXX/aaypWFk447YaCMP6avEcIwvDd9DxyolBuvnqlCHyJX2CNGDq6mwigmwK1rMARHWivJczbOT9agEr9YgkBVzUFhq6ik1vBQjbyw5W+QkLmaG8JXm7xUyTdcwNLj8DNRbgh7Swv5d4W/+2SlYyONF2ei4RlIoctKd5l9IYHoEFi2bJncfPPNxt+WRcqr67LLLpOJEydG52JslQRIgARIgARIgARIgARIIOoEbC10bT9QKxv3Mp9G1GdJhC+AN/cHtMuIcKvWaM5VUyilrhXW6IzNe/HjikKZ+a/vpahwv9eRIHTgmWcPk1+deIjX49j5wD0fyMb1B4XHa248Qfr1b++zLg48/MBHsnb1TlXn5NMHy2lnBC7OIE1g8d5SKWjZ+I3gZ578Un5YvEW1+4dLxsqIUT3UdjL9p3nWUYYnZ2YyDdk2Y602HJjgxbRlX43UmHLRxXsAORmp0rm54e2VmRZTL2B6isf7zgd2/fZ56dKtIDqhkCl0BXYPWIsE7E7A5XLJq6++Ki+++KJUVlZKnz595Pbbb5f+/fvbfWjsPwmQAAmQAAmQAAmQAAkkHQFbC13ztlRJrYWMckk3e8IY8MjOxlvYcXhbP4wuB3hqnRSXz5J6YeirAIE1qlZWViUzXvhWli7e7D6G/Fjt2jczwso4Ze2anVINy/zP5chxveW83x7uNWfWrK9WyWuvzFU1xxzRU6b84Sh9mtfPtWt2yMP3f6yOZWSkyT3TJkrzFtle65p3ImTii3+drbzBrrjmePMhtb1k0WaZ/c1PKr/X4KFdBONJtpLt6GXkaOqebMO27HgNXVb2V9TJxuIalW/Lsh39uWOtstOkY/N0yXb49sqM1BiY+zNSJKPbzvBOmUb+t+hcg0JXdLiyVRKwKoGdO3fKY489Jp9//rnqIjy96N1l1bvFfpEACZAACZAACZAACZCAdwK2FboYttD7DbXL3v5G+MLmCRq+sMz1o1TVbLPLrbBcP//6l1mycP5G1a+Cljny63NHCsQheHChVFXVyLy56+X1V+dKzc/5+YYO7yqXXHa0Om7+D0QzhA1EPaczXR5+YrL6NNfx3H726a9kycKDIlvf/u3k0iuOkaws3x6ICK346svfye5dpaqPDz72ayMETpZns0n/PS011/DMGZP0HOINwIj4KztL7esNnWasA72NvEwIcRhNyWvRVpdU1cY2dGO854adrt8mN016tnRErcsUuqKGlg2TgKUJLFq0SKZPn65ErzZt2li6r+wcCZAACZAACZAACZAACZBAQwK2Fbp2ldXK2t0MW9jwdtrnW2sjeXwvw1iZiKW6do8cqFqUiEOL2JiqXbVe81R9P2ed8ozChSBu/fGScV7r4fgPS7fK84YopcWuq284Qfobebs8y3NPfy2LF25Suy/641Ey+vCenlUafN9h5AG767Z3pfZnI3e7Ds3kYqMfHTsXuOshdxhCK370/hJZt3aXe/9R4/vI5PNGS3o8kgu5e2HdjfzMEUbepebW7WAC9wzOz0VGuN9NxYnxu5lm5Nvr3TpdWmRFx6Wn1FUny7a7EnhG2HdoyOU2vLMzqjncKHTZd36w5yRAAiRAAiRAAiRAAiRAAiRAAslJwLZC18odLtlXybet7TptUw0j5aguTrt2v8l+76v4Vurqy5usl0wVEN7vi09/VCEJIRRNvfeMBsOHsHTdFa9JRUW14UHlkLsfOEvym/n3jPrisxXy5mvzVTtdurWUW+44VYyp1aAgBOJfnvxK7es3oJ1cc8OJDY57+wIvrb8ZnmVlZb8Yups1z5Ju3VvLvuIyKdy2r0H4RIcR5nDyeaPkyLF9vDXHfT8TyEzvItkZfckjhgSQO26H4cG1IUHzWToMD6++bRySZ+R+jHSB0AXBi8VaBLq2cEiH/OgInHqkFLo0CX6SAAmQAAmQAAmQAAmQAAmQAAmQgD0I2Fbo+n5zlSEkIMsIi10JDOvklIw0D1XCroPx6HdF9Voj780Gj732+7prZ4ns3HlA5cbKy8tSwlMo3ko/rSpS3ldaOEox1Kgnnj2vQRjB7YX75M5b31WQjjthoJw9eUSTwJCr69Yb35L9+ypU3T9cMlZGjOrR4DwIaAhfWFpaZYhgKfLAI5OkRUFOgzrevuzedUAJZNu2Fns7rPZBkBt3TD857lcDJI/hCn1y0gdSUxBybrz+ys8oEzhQVScrdlSr3HFRvlTcm8/NSFWCVyR/U6pq6mXRtqq4j40d+IUAQleOMP528Hyh4Zcakdmi0BUZjmyFBEiABEiABEiABEiABEiABEiABGJFwJZCF/NzxWp6RPc6/Yy38KMVdiq6PW+69dq6Mtlf+V3TFS1W40BJhSxZvEVWr9ouq38qMryXDgpIupt5eU6ZNHlkk+H/oEFrQ2TR9v1y/13/Ubm10A48o3r1aSvnGLm3mjXP1k2r8IIIM4gyafJwOf6EQ9zH/G18/eVKI1/X96rKIYM6yhXXHN+o+uv/nCtff7FK7T/9rKEy4dTBjep42+EyQiz+uHybrFm9Q9auLpLi4nLp2KmFdO7S0vi3hRw6qJNk+snf5a3NZN+X5xwkjrS2yY4hquNHHq71e6pltxHiN9lK9wKHtMuLnLfPBoNjkeERx2INAvDeK4hSuErzCCl0mWlwmwRIwJPA0qVLpXfv3pKd/cvfsZ51+J0ESIAESIAESIAESIAESCC2BGwpdO0pr5XVuxIjz0hsb7e1rtbWSCbfI4rJ5OM92pLKBVJT59sbKN7909dHjqulizfJnG/XyYpl2wRhBZsq/Qe2l8uvPr5RLip4QX368TJZtmSr3Hb3aYYnWKa89uocmfXlT5KZ6ZAzJg2T8cf0VZ5Vntf46IOl8t7bi9XuKX84UsYc0cuzitfvCIl47eWvK6+VnFynPPrUuY3qbd60R+678z9qf65R576HJ6n+mCuWl1VJdk7ihtM0jzWe2xlpbSTXGZjQGM9+2vXa+42Qvit3JocXl697lOVIlQFtHRHxGIZouGALPch9sY7lfqeR+/CwjhkxuSSFrphg5kVIwJYE9u7dK2eddZY4HA65/PLL5bTTTvP6d60tB8dOkwAJkAAJkAAJkAAJkICNCdhS6Fq7u1p2JeGb6jaeZ167jtwqSCifqKWqZouUuQ56EVlxjOvW7jTErbWycN5GKS//JRcV+up0phteV22U5xXC/VWUV8uCeetlz+4y91DOPPswOXHCIPd3bJjDD5506iA5+ZTBcuM1M6WyslpuvfNU6dS5oEF985dZX62S116Zq3adfNpgOe3MoebDfrfvnfq+bNm8V9W598GzpHWb/Eb1n3z0M0PIK1T7+w9oL3+4dJwS4ioqXPLfWT/Jpx8uk6tvOEG6dG3Z6FzuiCyB5lnjJDUlNgbryPbcuq1Bnt60t0a2H6ixbidj3LPerR3SKjt87y54xq0x/u5giS+BIR2ckuWITbhjCl3xvde8OglYmYDL5ZKXX35Z/Yvt/v37y+233y59+vSxcrfZNxIgARIgARIgARIgARJIeAK2FLrmG29X1wTgdZLwdy8BBjiic6YYL2knZKmvr5biilmWHdvD938ka9fsdPcP4tZhw7vKaMOTqrcRWjAtreGNqTbC+L31xjzlnYWTUP/uB86S5i0ahm25zwhTuHnjHkH+qtMnHqbCCv5qwiEy8ezh7mt52zB7XUFku+HmCd6qed0381/fy1efr1THfnfxUTJqTM9G9dA+Qijq1H4Q8FoUZEnx3gp3DqOTThkkZxh9ZokugeyMfpKZ3jm6F0mi1g2nTFlR5JLyamODpQGBdnnp0q0gXcKVRxZtdUmVke+PJT4E2v98H2N1dQpdsSLN65CAfQls375dpk+fLrNmzVIeXfDsuuqqqyQ/v/HLVvYdJXtOAiRAAiRAAiRAAiRAAvYhEBOh65NPPpGioiI3lSlTpri3g92AnWnelspgT2N9ixI4tL1TcjPCNUFadHBGt0qrfhBX7Q5LdnD2N6vl1Ze/U31D3qmbbjtZiVf+Oouwhvfc8Z4Ubtunqh1/4kCZdM6IBqd89cVKmfnPgzmzUg2vPZwz7dGzpUWLnAb1PL+g3pWXvioQ1NIN9fPxv5xnhIUJzBvjs0+Wy9szF6gmL7jocDlyrPe3ar/73xr554w5gnCN5oLrHTG2t0z89YgmGZjP43ZoBNJTm0l+5sjQTuZZDQiUV9fLD9tdbrG2wUF+UQRyM4xQhu0yJC2Mn5oKg/OSwioSjQOBFEOmHNnFaXiBxu7ilZWVDf5ubd26teTk+P8Ni13veCUSIAErEZg7d67cf//9UlhYKIcffrg8+eSTVuoe+0ICJEACJEACJEACJEACSUMgJkJXJGmWuWDUo7Epkkzj2RZydCFXV6KW6tpdcqBqiSWHh5B9N1w1U6qrawWC1LTpZ0uz5g29s7x1/IclW+SZJ75UhxACEOH+zKW0tFJuvPoNqf3Z+yE7J0Mee/o35io+t81eZuddOEbGju/rs675wNtvLJDPPl6udt146wTp2auN+XCD7Q3rd8nC+RsFHl4FBTnStXtrGXJY5yaFuAaN8EvYBPIzRxvenHlht5PMDeyrQD6uhmFHk5mHv7GnGR6cQzs6JUDt3GtTRQdqZcNehjD0CieKOw8xRMo8Z0MP4yhejk2TAAmQQEgEZsyYIWPHjpXu3buHdD5PIgESIAESIAESIAESIAESCI+A7YSu3eVGroxdNDSFd9utc3abnDTp2cphnQ5FoSf7Kv4rdfXWFGf/9uwsI/fWRjXqs349TE446dAmCUDIuu6K11W9Zs2z5KHHzml0zl+e/EqWLt6s9nfq3EJuv/v0RnW87UCuLHhcoRS0zJZ7pk1S3l3e6pr3mcfx2NPnSnZO4uZ+M4/bztuZjm6S7eht5yHEte/IU4l8lSyBE0g1xK4hHTLEmR66a9CqnQhJWxv4RVkzLALdCxzSLi9xX4YJCw5PJgESIAESIAESIAESIAESIAESIAEScBOwndC1raRWNhfTuOe+gzbfQEipQ9tn2HwU/rtf7lotlTWb/FeK09FlP2yTpx/7XF29Q8fmMvXeMwLqyQ1XvS4lJQdDiD71/AWSkdHQELl44SZ57umvVVsO49iTz56vvMaaahwhBW+98U3ZV1yhqk4+f7QcfWw/v6dt21os9059X4VIbNuumZE37Ey/9XnQGgRSU7KkedaR1uiMzXqxo7RW1u/h72Aotw1h8AYbYleWIzSxC+lBl2xjvq5Q2Ad7TsvsNOnTOrFfhAmWCeuTAAmQAAmQAAmQAAmQAAmQAAmQAAl4J2A7oQvGPRj5WBKDQLoRMm9E58T2vqmp2y8llfMsecOQF+uma2dKyf6DotWtd54qXbq29NvX8rIqud4IeYjQhO06NJO77mssLEGwuvHq16Ws7GBYNQhoENICKbP/a+QOe+lg7jDkzvrT5UfLoMGdvZ5aZniXPfX4l7Jh3S6VCPz6m0+UXr3beq3LndYjkOc8zAgl53++Wa/X8e3RdiN83kaGzwv7Jgwy8kPmhJgfEin+Fm6tMjx1DdWLJSoEMo21H953hhMeCwmQAAmQAAmQAAmQAAmQAAmQAAmQAAk0ScB2QtfKHS7ZV2lYmVgShsCYrpkJMxZfA9lfOVdq6w74OhzX/W/NnC+ff7JC9eGY4/vLOb8Z5bc/385eI/948VtVZ8Kpg+T0sw7zWv9fr8yRb776SR0762wjLOKEpsMi6oZe+vtsmfvtOvUVYtfZ546UkaO7S3b2QVEUecXmfrdO3nlroZSVHgwLeeLJh8qZk4bpJvhpAwIZ6e0lN+MQG/TUGl1kjqjI3ochHZwhe3aVV9fL0kJrhqSNLKXYt5ZmvAAzzMinlsa0XLGHzyuSAAlElcCbb74pa9askSuvvFJyc3Ojei02TgIkQAIkQAIkQAIkQALJRsB2QteSQpdUVFPoSqSJOrpLZsK/tV1ZvUnKq1db8rZt27JX7r7jfdW3vDynPGjk3ErzYWFc/VORPPPEl1JZUa08qG6/61Tp2LnA67g2rN8l0+75UB0LJiwiToCQ9exTX8qKZYXutiF4devRyvA+q5Ddu0pVqEIcTDWMouOO6SuTzhkZUD4vd4PciDuBFEmV5tnjjWByDUNfxr1jFuxAcUWdrNp50EPSgt2zZZdSDHchCCqOEKcf70nkbzvuydAw86hFvldskQRIgAQiQ2DChAmyc+dOadmypVx//fVy/PHHR6ZhtkICJEACJEACJEACJEACJCC2E7rmb6mSGiTJYEkYAiMNoSstwcMT1dVXyb6K/1r2niHH1ZbNe1X//u/KY2Xw0IahAhHiEJ5cM//5vRKhEE7qt787Qg4/srffMU295R0p2r5f1bll6inStVsrv/XNBxEV7LOPl8l/3lsi1S7v4Ur79m8nk88bHXBYRHP73LYGgZyMAeJM72iNzli0F/Qeit6NUd5DnQzvoRB/g+hlF9l7c0i7DMlz0pUrslTZGgmQgFUIFBYWygMPPCBz5sxRXTryyCPllltukTZt2lili+wHCZAACZAACZAACZAACdiWgO2ErjmbDuYSsi1xdrwRgRGdM8Vw1kn4cqBqsVTX7rbkOL/4bIW8+dp81behw7vKJZcdrbbhWQWB69OPlsnePWXuvp97wWgZf0w/93dfGx9/+IO8+9Yidfjo4/opUcpXXV/7KyurZfHCTQJvsqrKGqk3FLBu3VtJ775tpUdPGgZ8cbPLfuToQq4uFu8EjEdQFm6rUvPeew3uDZdATkaqHNreyAcVYkPbSmplc3F1iGfzNE1gQNsMaZaZBH8M6AHzkwRIIGkJzJ49W6ZPny5bt241wnJny6WXXirnnHOOEaWAa2DSTgoOnARIgARIgARIgARIIGwCthK64OExdzOFrrDvusUaGGa8TZ8R6uv0FhuLv+64arZLqWu5vypxO1ZSUiE3XfOGCgeIEIGXXX2cLFm0SRZ8v0HKyn4Jl9ambZ6cMfEwGTaie0B9Ld5bJjdf/5Yy0ufmOuWhx32HRQyoQVZKSALNso4wPGqyE3Js4QwKv3mLDJHLVUsv5nA4BnJuu9w06d7SEUhVr3UKDbFrE8Uur2wC2UlPrkAosQ4JkEAiEXC5XPLKK6/ISy+9pDy6Zs6cKQ5H6L9DicSGYyEBEiABEiABEiABEiCBUAjYSuhCxMLvKXSFcp8tfc5QI0dKZnqo79JbemiNOldc8bUh+tQ02m+FHU8//oUsW7rVa1datc6Vk08bLKMP76VyYnmt5GPnYw9/Iqt+LFJH/+/KY4ywiF181OTuZCWQ5egpWY4eyTp8n+Neu7tadpV5D9vp8yQeCJlA/zYZ0jwr9Lfpd5TWyvo99OwK5gakGH508KbLyUiOvwGCYcO6JEACyUFgx44dsn//funTp09yDJijJAESIAESIAESIAESIIEoEbCV0IWX2udR6IrSVIhfs4M7OCXbkRxGrjLXSqmq8S4mxe8OHLzywvkb5K9/+cbdjRQjEVf/ge1kzBG9DQ+ubpKWFpoBeM63a+Xlv/9PtTt0mBEW8fKj3dfgBgmAQFpqrhGybAxhmAgUV9TJqp2/eFOaDnEzigTCDaW7p7xWVu+i2BXILUo1fmMGd8hImhddAmHCOiRAAiRAAiRAAiRAAiRAAiRAAiRAAqERsJXQRY+u0G6y1c8aYghdWUkidNXU7ZWSyoWWvCXIx3Xj1TOlvPygcf3am06Uvv3ahd3XqqoaueGq1wWfCIuI8IU5Oc6w22UDiUUgP3O4kauvRWINKsTRIC/Xgq0M0xsivrBOy3akyiBDfAnn1YsyV70sL3JJHWJPsnglgHDFeMklGfJzegXAnSRAAiRAAiRAAiRAAiRAAiRAAiRAAhElYCuhizm6InrvLdNYMoUuBPT9ld9JbV2ZZfibO/LqjO9k9qzVatdJpwxS+bjMx0Pdfunvs2Xut+vU6edeMFrGH9Mv1KZ4XoIScKZ3NsKXcV7g9i4tdEl5dV2C3mnrD6trC4d0yE8Lq6M1xu37YbvL8ODlffQE2So7TXq1cojh0MVCAiRAAiQQIIGSkhLJz88PsDarkQAJkAAJkAAJkAAJkEDyEbCX0GXcn7mb+JZ7ok3T4Z0yxRGeTdFWSCqq10lF9XpL9nnd2p3y0H0fqb4VtMyW+x8+2zBGhm+NXLVyuzz20KeSl58pE04dLMcc19+S42en4kcgJcUhLbLGx68DFrkycnIhNxdLfAkcZuSOdIaZOxL+XBuNnF1FRu4uloMEerR0SNvcJPrB540nARIggQgQ+Prrr+W+++6Ta6+9ViZMmBCBFtkECZAACZAACZAACZAACSQegZgIXUuWLFFJdjW+cePG6c2gP+dQ6AqamdVPCDcnitXH59m/2vpy2V/xreduy3y/7aa3ZdfOA6o/19x4gvTr3z7svtUb7pjLlxXKwEM6SGpq+MJZ2B1iA5YkkOs8VDLSwg+XacnBBdApOP8s2FIl9cY/LPElkJNhhDBsnxGRThRX1Br51pJbvEwz1v1D22XYJkzxxo0bZcaMGe77P2nSJBk4cKD7OzdIgARIIJYEpk2bJm+99Za65MiRI+XWW2+Vjh07xrILvBYJkAAJkAAJkAAJkAAJWJ5ATISul19+WTZt2uSGMXXqVPd2sBvfb65i3otgoVm8/sgumWKk60iqcqBqoVTX7rXkmD94f4n8550lqm+jj+gpF/3hKEv2k51KPAKOtNaS5xySeAMLcETw5IJHF4s1CPRvkyHNs1Ij0hmImKt3uYzQtckXyrBDfrp0bp4udnrHgUJXRKY9GyEBEogggVmzZsmjjz4qhYWF4nQ65eKLL5YLLrjAeIEsMr9TEewqmyIBEiABEiABEiABEiCBuBCwndC1eJtLKpnzIi6TJVoXHW0IXRGIjhet7kWl3aqarVLmWhmVtsNtdM/uUrn1xrcEOfGcznR5+InJ6jPcdnk+CQRCoHnWOMMgHhlPmkCuZ5U6FdX1sqSwyirdYT8MAqnGD9PIzs6I/j5B6PrJ8O6qxQKb4CUzPVX6t3VIZpghIOOBiUJXPKjzmiRAAoEQ+Otf/yr4F6VXr17yyCOPSKdOnQI5lXVIgARIgARIgARIgARIIKEJ2E7oWrXTJcUVyfdGdCLPwjFdMxN5eF7HVi81Ulw+yzhmTWPn9Gkfy+qfdqi+T/nDkTLmiF5ex8GdJBBpAtkZfQzDeNdIN2v59n7Y7jLEb/62We1GdStwSPu8yOaUqjOW/cKSWtmyLzHDGaZIivRqnS6tsiPLLZZzg0JXLGnzWiRAAsES2Llzpzz88MOyYsUKFdIwOzs72CZY36YEEA4+EvmTPYcfbrvhnu/ZnzvvvFNWr14tV155pYwePbrB4Uhfq0HjEfzy6aefqjDII0aMkGuuuSaglmtra5WnJio///zzkpeXF9B5rGQdAnaZn2Zijz/+uMybN08uvPBCOeGEE8yHuE0CbgL+1mV3pThuwNO9tLRUEO65S5cuQfVky5YtctNNN0lubq77ZSJzA3Z8rs39T7Zt2wldW/cnrnEo2SYfxpvlSJUhHZLPewNjL3UtE1dNETYtV7773xqZ8cLBPGL9BrSTa2440XJ9ZIcSk0Baar40yxyVmIPzMaoDVXWyvMjl4yh3x5vAKMPrOBph9+Ccvrm4WnaUJk64yq4tHNLOEAajwSuW84BCVyxp81okQAKhEigpKZH8/PxQT290XlFRkbz44ouN9qenp0v37t2lZ8+eyossktdsdDHukFWrVsm///1v6dq1q5x33nmKSF1dnTJAl5WVyZdffilZWVkRI/XOO+8oA9/NN98sF110UdDt3nbbbaq///znP2Xo0KFBn+/thDPOOEPmz5+vxJ5TTjnFXWXdunWCY0cddZT85S9/ce+34sZLL70kYDNhwgT529/+FlAXa2pq1H1H5R9++EFatmwZ0HmsFH8C0XxGoz06CAQffvih3HPPPfK73/0u4MvhhYvq6oYv7mFtat++vfp3yJAh0qxZs4Dbs1vF77//Xq3HTfUbv5mXX355U9Usf9zXumyVjh9yyCFSXFys7km/fv2C6hZ+d4899lhp3ry5eonIfHK4v5HmtuKx/cILL8iOHTvU3xP4uyIZiu2Err1GUneE/WFJDAJtc9OkR0tHYgwmyFFU1+6WA1WLgzwrNtUrK6vlhqteF5erVr01+MAjk6RFQU5sLs6rJD2BfEPoSjcEr2QpSwpdUlFNby6r3u/uhlcXxJtolWpD59pkCF52zs/W5WeBK1HybVLoitZsZ7skQAJWJgDD+kknndRkFwcNGiQPPPCAwIjJElkCLpdL3QMY3V5//XUl6OAKMFIddthh6mLwFIJBL1LlxhtvFIhUv/rVrwTijGdBXrjWrVuLw+H9/9mPPPJI2bBhg+Bt/z/+8Y+ep4f03ZdBFQZHGIzh6bRy5cqoeLeF1GEvJ1Ho8gIlSrvw3OzZs0eJK1G6RJPNRvMZbfLiYVYIVejq06ePQHz3VeAdc/7558tVV10V0Zcy9PUOHDhg2KtcUROEm1r74HV599136+74/OzYsaPymPNZwSYHfK3LVul+tISupn4jrTJ+X/344IMP5E9/+pMMHz5cvZSSlhY9u4avPsR6v+2ELuYxifUUie71ehoiVxtD7ErWsq9ittTVV1py+C/89b8yb856ad4iSy7641jp17+9JfvJTiUegUxHV8l29Em8gXkZUbmRm2spc3N5IWOdXQjFN6pLZHN1eRsdBK9t+2tk+4Eab4ctuQ8iYGvjNzxRBC4NmUKXJsFPEiCBZCKghS6n0ylPPfWUe+jwHFu/fr0SM+Bls3v3bklNTZUpU6YIvIAYOtGNKuyN+++/X5555hk566yzGtwDNDx9+nSBYXfq1KkRFXh+/PFH5R2FsGUIs2cua9askfHjxwsEppEjR5oPubfhCfLZZ5/JLbfcIm3btnXvD2fDl0EVc/Guu+5S/Zw8eXI4l4j6uRS6oo7YfYF//OMfyntu8+bN7n3x2IjWMxrtsYQrdEEI0KHiIHxB9IO307ffHowQdMwxxwjuUaTDrl5yySXKg2fmzJkRRxTI2qeFrgEDBsgf/vAHn33IyckRs2eqz4oWP+BrXbZKt6MldPn7jbTK2JvqxwUXXCBfffWV+p2+7LLLmqpu++O2E7oQ6mf+FmsKA7afDXEYwKHtnZKbkRKHK1vjkuXVq6WyepM1OuPRi61b9kpJSaX0H9A+4n+UeFyKX0mgAYHUFKc0zxrbYF+ifllhhCwsMUIXslibQJ/WDmkZo5xTRvoNI7RtnWzdVyP7Kq03N+CJ3S4/3RCjE/e3m0KXtZ9H9o4ESCBwAt99950cfvjhAZ2ghS4Y5ZAfyVuB0PLII48ozx/kE8Lb+g8++KC3qtwXJAEIiBCaEL4O961z585BthD56ggPeN999/kVuiJ/VVHhCb2FLozGtaLVJoWuaJFt3C6MuN98843EW+hq3DN77AlX6Pr4448Fnr6eBYZ1COgI6/jkk0/KxIkTPauE/B3rJISNwYMHSzSErkDWPi10HXfccSofX8iDscmJySp02eT2+O0mxLrjjz9eeUMvWLBA5SLze4LND9pO6DLsPzJ3E4Uum887d/eHd8oUR/I6dElNXYmUVH7v5sENEiCBgwTynEOMtaF1QuNw1dbLwq1VCT3GRBlcupF0akRnZ8yHU2voXPsqa6XQyE8K8StepUVWmrTPT5N8Z6rx4kO8ehG761Loih1rXokESCB6BGbPni3XXHONypt0++23u9+493XFQIQufS68eGAcxRv67777rgqJo49F6hPJ35E3DDkzIpmTKlL9i3Q7jz76qPLagvfDK6+8Enbz5eXlUlFREXJYLxinYdhcuHBhxIQueGTBGxAhzfyVcA2qMILv2rVLzRvMn0ALvFFwbrB5hRA+rbS0VAoKCtyXClfogmHS3I99+/apZ8F9gThueBtvMN1BXieEGmzVqpUgB6CvsnPnTjV//YXawpxCGFXct2CFrkDXGPQV4TIzMiKbWz6cZ3Tv3r2ClxLggRtMwcsKeAZxri7RErrQvm77t7/9rQp5q6/p7RP3EONq06aNt8MN9n399dfqRQuETg1G6ApkDQp07YuV0BXqvQYwMMWYzWtTA5DGl6qqKuUtjOfRX9Hr8t///vcGYY7RPtZ0zKtgSjD327NdvBiCtd28fgTq0YX7i/PN88xfji7PawfyHWtXixYtfIb89dYGeOB3C/cqmOca90/zMD/Xntc49dRTZdGiRSrc5u9//3vPwwn13XZCF+gvN96AP8A34BNiIo7ummkEhUrusr9yntTW7U9uCBw9CXgQyEhvZ3h7HuqxN7G+btxrrzB1iUU/+NEc0i5D8gyhJ16lznjTB+Gb4QG4uzS6wleLrFRpmZOmxutMR/DG5CoUupLrfnO0JJCoBLZv3668cebOnasMtBdddJEKN+gr11IwQheY6VA4SPr+xRdfhBwBAsadUaNGqRxUf/vb35S49cQTT6hweBC6YIxavNiaeY0jNXfgHTds2DBl5IJAgnxZ5qIZYR9Yw4CmCzwPkGweIQ+Rg+Phhx8WGIFhuEO7MEDCGHzbbbdJ9+7d9WnuT33+2WefLX/+85/VfuTsQnubNm1S32F4M8+bZ599Vt0zHPzd734nS5cuVZ598GwwFxhAEfbw3//+t/ISxHcU9P/YY4+VG264QTp16mQ+RW1rgyoMyeaQXwiH9n//939qHG+99VaD88AIec3AD2HHMHYUGAyHDh0qJ554ovIu8RQrKisrZdq0aYoZQnTCCIqcOkcffbRiBoHDV3nxxRfVNX/66SdlUO7QoYMK8Yh8ZQjniJBuEyZMEMzrQArG0LVrV1UVfZk3b56ANZ7N4uJiZQA99NBD5aabblKeLLpNcMWcgYD06quvSv/+/fWhRp/33HOPEqdPPvnkJvMLad4Iy3bppZfKyy+/rEQFiHDoK0JVwgsReYq8ha3U5yN3G8LMQTT961//KrNmzVLC4Omnn67CZpo7OWfOHHnsscdk2bJlykCfmZkpWGOuu+46gQisC4y7mOuYq3peefYB/GAI188P8twFssZAMMNc+uSTT9QzgDkCUb9du3Zy7rnnqrF4GpT1NdC/SD+jeszIGYXQneCI9R0CYI8ePeScc85RffIVGhD9v/fee1XoMowN9Xr37i14XjFHr776avWcYm7geQ606Bxdvjy60M7jjz+u7tOYMWPE85nFccxZiPyff/65rF27Vn3Pz8+XgQMHqjF5rilbtmxRzyvyDoE5nmfzegjRE8+lLsGuQcGsfdEUuoK913r+wcMN44c3HfoHYQOCKjyEMf/vuOMONY+xzj399NPy5ZdfqvUb9wFrHdZJvBjTsmVLjdD9qddlrDG9evVSf1/gt3nr1q0qhDHWHQiakyZNcp/jbQNhLCFOYh2BaA7BCn3D3MZ89lVwHYTuxfyHIIS1HfMEf4v8+te/Vm0gbCbGhDXDs8BTGh7py5cvV7nl8CIBeOEZQB/wO4nPFStWNDjV228kKngyR7/guQjmECch/IE71r7zzjtPPa8NGja+QGzHbyTuxbp161SbeD7B3yzi4Tx4V+P+oOD3AGsZ1imMWRc8OxgH7hXWeHN588031bMOxngRKpGLLYWuogO1smFvdSLfl6QYGwyGMBwme6ms2Szlrp+SHQPHTwIeBFKkRdZ44w9x32/5eZxgq68QLb7fTO9kO920ZpmpMqCtdX6z4OEOj6/KmnpDAKuT0qp69RKQy/hejQnmp0C6gjd1piFi4bc4x5kiWY5UcRrJttLip+X56XFsD1Hoii1vXo0ESCC6BD799FPlKQTDC4QOGLpgLPcswQpdOhQO2kGYORj5QykwFsG4D+MLPMXOPPNMJdLg7XKIXBAdYGBP5AKjPgxYEJMgUMG4by6aEfbhPpmNkAgdCeMahADch//973+KJXjCywhtw4sDXnEQwDxDIurzEWIMOcJQrrrqKmVIR4gjCAqYLzCg6QLRTIcq08ZPT1EKdTHXIMLBYAfDY7du3ZTRFf1En3B///vf/yoDq24bn77ahHEOublgYMdYzAXjh9EPRkKMHXlzcA0Yz2Eg7du3rzL+ms+B0R9vtmMugymMnjBOQriDIRV5h/71r381EghxP6688kp57733VH30B8IBjPArV65UnkoI04b7EqrQhfty6623Ku7oO+4fDLTwFIBxH+IcBA5d/vSnPwmM/xgPhCdvBcZsCAHwDoNBf/z48d6qufdp3hAbca9gQMezCiM3BATMLYgorVu3VsdgrDYXfT5CnMIYDSaYk5gHmOv4fsUVV7hPgaj3wAMPKLER3hlYr3CPMOdhEEZdiHwoWM9gQMb8xDxFOeKII9Sn/s9rr72mjMv6+Ql0jYG4gvsIwz/YQ4yFMRnCGQRUb16X+hq4dqSfUbSJ5wQiLwzcuAfae2XJkiXqmYJxG56gnkIuBDGID5jjEAbw3OJeQgzGszF69Gh1/zCXoyF0oc3nnntOTjjhhAYCFMa0YcMGgQgK1ugbhBL0DcIx7jvuOYQ3CMfaqw/rG54rPJ8IsQuxAix0wTpjnv/BrkHBrH3RErpCudd6/mHOYm3AOPBcginEJMwTPHv4DsERXN5++221VurnGQIN6vbs2VOtlZ5Ci16XkZsTIgsENKx9EJhxL/D/T7hneN7RB0/hFWsFvMzff/999RuHtQjrLu4/hH3k+4Tgg7niWSCAY65g/uOeY63BWo3fy23btinPQQhcEIu8CV3oL+Yinl/8TYG1Hm3h2vB8xloLJt6ELm+/keifmTnEWqxPmMdYMzAu9EWHgfbl0QhREesq5jfCTOM5xlgxz9E+1n28xIA+Q8zD7wx+15DHE8801lH81mFNxW8DxoP1fcqUKUoYM3OEZ6r+3cY1dF49c51E2bal0IU3mpcUMtyT3Sdhj5YOQa6PZC919S7ZV/FNsmPg+EmgEYGcjP7iTG/8lmejijbcsd/IvfTjDpcNe57cXR7ROVPSbSQEGf+vIWbJKyVFDIlgQwZeAABAAElEQVSLpSkC+B+1GTNmuKvhzUS8MchCAiRAAnYlAKM03qyHgQkFb057vu0brNAFgxEMxzDGwKA8duzYkPBoYxE8JGCEgRcR3qCGp0iyFBjhYMyF8e4///lPo2FrRjjgy4iOYzCAw1BoFhxgEIaIBfEGoYtgdDYXX0Y81IHhDfcDb5yPHDnSfJp7Wxs/vQldMKTDswCChlmcQ58gaMLQDcPn9ddf724PG77a1MKJp9Clw07ByA9vGhhqzQXGPxhZ4dllLvBiw1v+MBrCMKu9dGDAhZcLhFeIQRCFzAXiF7zRYJiFhxK8v3SB2AXRCbxRQhW6cO5ll12mvA3MBmc8x/BKgIETxkp4GaHAMArhC94t8LLAcc8CDyUIYe3bt1eiTVOhxjRvtAMD+vTp0xusGzCcwlMUngww7sLAbDZu6/PxXMM7E+vFU0895VUUx1jw9xb6jzkKg68uGBsED4SWxBoG70dd4PmCtQKGYogj3op+fgJdY+CNh2vh3sFwrQu4Ym6iPXhHmPMf6mugbqSfUazfEKT279+v1gl42GnOGDOebxjUIUBcfvnlurvqE8Z3eFRCNMS8NRu3v/32WyWeIewZSqSFLngN4XcGPCBQQhw2F6wBEA8hUGLNN4fOg9iD+Q9BE2sUxBNzgVgDMQfzxF/owlDXoEDWvmgIXaHea/P8w9yAgKLDC4MbBE88X/h/HLy0gN9vrCWY47pAYISXJYSUhx56SHkh6WP41OsytrEu4lk2h0TE8497hvOxLnr+jQFPTaxdECZxHL9XukDkhtch5gCed6w3umBsuM9YW5FnCuuD+WUQhFLE3EU9FE+hC4IT+ov5CO8tzBtdIHLBk1l7G4YidOm2wBttmdcM/G2E3zestfBaNHuaYd0EbxTkGDT/buF+4ZnHfYLHpPnlJB0WFwIlXmQyswADePHjeYc45lnwdxp4wGu+Kc87z3Pt9N2WQhffhLfTFPPd1yEdnMYb5DS5gdCBqiVSXbvLNyweIYEkJOBIa2F4mwxPyJFD5ILYxWIvAr1bOaSVEdKPJbEJUOhK7PvL0ZFAMhOAoRaGJhgVzfl/wCRYoQvnwPgEsSJYAynO1cVsoMPbyzD4eDPQ6PqJ+Knz2EAgwVvlnsXMyJ8RHR5NRx11lOfpKkwRPKHw5j3e2jeXaApd5ut4biN8FQzz3jw9tEHVUzzTwomn0AVvFHi7wAj6coDefwifh3BSEF9gGPX0hIGogJCaMNrCCIrQayi4F9roCs8RCEeeBX9HoA68G0IVuiDeIP+dtwJxCWKM+a19XAvXxLU9uek29DyD+KHDVOpj3j41bxyDsAfxz7OAE0JmQhz0vK75fLww9NFHHzUKx6Xb0/ljYAyH54JnQZhCGOY9Q+AFI3ShzXDXGHiRQYyGMA0PE12i+YzCyw0CNoRZMPAsEKzADGFK4d2mRQKzgR8CMLx5PAvWDHhDogS7juM5hCDoLXQh5gPEY3h0QjyAoGz+zdF5HiGAQ+wyG+t1H9FniHjexI9AhS7dlrdPf2tQMEIX1lW9Pni7DkQ6f8fN54R6r83zD2FhMTbPgpCD2iMSYg9EH8+C8Hj4+wAhOvG3grnodRkCP0Qas5evrqdf2oCgg/unBVmI4mAKD0yst2ZRR5+LFw4Q7vTaa691z0kc0y8WwEMN3sDeRHyMR4tVnkKXFntPOukkgSjmWSAmQWyFkBaq0OVvvdbcPMVDeCbi99fXub/5zW/U30MQiPV9Q9+xjXuJMI5Y04MpYAthGL996E+iFlsKXbgZSwtdUm6E6mGxL4HRXYz8XNS51A101e4wwk79YN+byZ6TQJQINMs83AillhOl1uPTbK3hYjOPYQvjAz/Mq2Ya7lxDO1onfGGYw+HpPghQ6PIBhrtJgAQSmkAoQheMYXjzHsYWGF1CKWYDHQzpMKgnW9FGfrzRDhHDs5gZ+RK68AY33oT3VhCiCW/Rw+gIDwezUTleQpc2ziPsEt50NxdtGPQlnHgKXfBmgVcVDPww4iEsVVNFiz4Iw4j8U94KjOww1po9ZSAU4n5BMIFwrEUFz/MhLELoCVXogqABYcNbgZccQgF6CpcwUMNQDe8FTy80eIqAC0KToV8Q+JoqZqEKY0VYOW/llltuUZ7wuG/I7aaL+fw33nijUWhBXQ+eJAgHCKEG4bh0mDp9HJ96fcLcxRzWBvRgha5w1xgtuMGrCp6xukTzGYU3BzybIA4h3Ju3okUniHDaoxPiGIQTeGPCK9NbgfAAjzuEtQtV6IJnlvbGgocM7gnmC9YdzBkY5T0jI0AghoehN49O3U+It5gXeL4xFlxHl0gIXf7WoGCELt0nX5/whMR6EEgJ9V6b5583bypcG+LUaaedprqBsXfr1k1tm/+juUL4wTNrLnpdhqgKQdpbwYsBGAPCpOL3CL9LKHgBAeEBvYX91O1gvcfLA57rF0QZvJjgS5zD+RDA0D8Us9CFOQRRDfMcvw14GcBb0aJTqEKX5/w0XwO/MfDCgrcb1kpd4OkFjy9v3o6oo59fzHts64KoI2gHv+kQAc3e0rqOr0/8rmAN83cffJ1rp/22Fbp2ltXKut3M02WnyWbua0FWmvRt09id3lwn2baLK2YZb31xTifbfed4/RPIcvQwPD8bhh/xf4b1jxZX1MqqnXzWrX+nvPfQbuELvY+Ce/0RQHgd/M+3LuPGjXP/j5rex08SIAESSDQC2pCM8F46r0RTY9S5bEJ5s1i3bTbQwcgW6Jvv+vxE+IRRES9ZQCTQxjrzuMyMfAldEHpgUPZWELJJ5+ZCrha8Ga9LrIQuCCwwgCMkE4zhCCeInGCeohX6pQ2qgQpdOAch22DMh2cWDLEQqSCi+Srw/oKoAhHLnOPHXB+5U2A0RUhA5GBB0d5jMNzDq8pXgVEXxt1QhS54c+FNf28FOWkgXkDsQW4b7Y2GEHTwroKHAjwjzHnztFcEjmMMgRQtVEHUg7jkq2ivIM+29fkIvQjvInMIRnNbOqQi5oIvwRyeY/DaQ4EHkPb6DFboCnaNgQCEHG9gC2M52CG3EeaXzmmHPkXrGYVACU8shD7DfPTmzYLr4wUBsDCHJNOeH/A8gwearwKjN8TGUIUuX+3CEwXPpQ4Jaq4HryOEHMWYvOVk0nW1p46nl48WZCBc+AtdqNvBZzBrUDBCF4RFs4Bhvia2IbT4EonNdcO51+b5B89Jb2K/FpSxbsAT29tcwpqGly1wPtoxF70u+xJmdF38hiOkpjmkMZ5reFMhVJ83j02ci5B7CIeI8JoIZaqLDrfnb65ACNbh/cxCF/JW6ZC1mG++XkzQHoahCl3Ij6ivo/utP7U4jpcT4OWoixasEJYVz55n0R5dnmIwBGSEHcR4IHLhfLx0hBcfmir6mhDMMeZELTERuvDHFBKi6QKFNtxSXSuyYGtluM3w/DgRGNA2Q5plpsbp6ta8bJlrlVTVbLFm59grEogTAXhzwasrkQrDFtr7bjJ8ob3vH3tPAiRAAiTgnUCwQhfelEaOCOQ+QpgkGC5DKWYDHd441zmHQmnLrudAkIEhH2IEXq7wLGZGvoQub6GmdDvxErogasGzCMIAwkJhzniWSAldEHcQaguhsyCkocDwCCM/csV4iizaA8azP96+m99+hxgJgcNXeDB9vvYQCFXoQqg3cw4b3S4+MR/gjQGeZq8JHIN3GvJYeeaigWEUxmMYXWFADaRoocqftyDagVenNrSaQ2Pq89FXeJD4KtqTw9dxz/1mz6Zgha5A1phly5apNQ0h+WBU9lZCEbpCeUb1uuytD972mT0UETLv66+/VvmaEHLRV9Heh6EKXfBsM3sIIiQaGPoy4Jt/OyByaoHCW/+0EO/p1RKo0BXqGhSM0IUXPiAghFvCudfm3wiEr0QePs+ihS6EHMSLBt5KIEJXUx5qWhAzh+rT3rHerum5z1NYx9yCyOxLwMP5mFNYZ8DBLHTBs/CUU05R+RTXrFnjeSn3d+0RFqrQ5Ys5LuBL6EL+S8wziG/Io2d+MQN91X9TYT339OREKEi8TAGBDWOHF+yJJ54o8DT1lU8TfUFb+I3Abwt+YxK1xEToiha8RVtdUlXL8IXR4hvNdkcZYQtTU6J5Bfu1XVNXLCWVC+zXcfaYBKJMIM85TBxpBVG+SmyaZ47J2HCO5lXynakysB3DF0aTMdsmARIgARKIPQFtZAvUo0t7laCn/ozyTY3EbKDzFHGaOjdRjuPteXiM+BIM/THShmBPw7uZTTyELhi6EXoPoaxgqISxEYZICJkw7MGbCp4BkRK69HjxgjVCbsHwDC85FOSLQVi/vn37qu/gAfEGXOEl1JS4Cm+4X/3qV+pcHfrJV74XVcn4j85VE6rQBVEKng3eCvoNljBwQmQy57vR4dhgyMQ2vDcgBsH4ibB//sItel5LC1XwnoIXla+ihS54CuIld130+d7usa6DT3ghwSiO+xSICIfwa9orMVihq6k1Bl4oCCkGbmAGkRPjh7cEchNBjIZ46/m8ResZBXeIPLh3/ryGNE94ASIUIQo8ZzAHfOWS0+dAkPr0009D9ujyzNGlRQMY33HMM2wh5i281LA2QFjxPK77hU8tEuCeP/vss+5DgQhd4axB8RC6wrnX/uafhhaI0IV5gPngz6ML3q3wcvVVMF8xFvw2QWxFQX2I8lgPR48e7etUtR8vJeD5QjGv1b7yzKmKxn+wfmBOmYUueLYi9xfyw+E3x1dZsWKFWuNDFbr8rSt6Dnt6dKEvmNMIN4tnAv3HvMPzg7mLglyKyDHmq8Az75VXXhF41eJlGRS82IFrmnPi6fPx0gk8LfGbgXU7UYutha4dpbWyfg/DP9ltchZkG2ELWzNsobf7tr9yjtTWlXo7xH0kkLQEnOkdJSfDd+gRO4GpqK6XJYVVduoy++qFAHNMeoHCXSRAAiRAArYmEKzQhbf4kQsEb4cvX77ca16dQIAEYqALpB0710HEG7zB7Ssvkz9GVhS6YLQbNmyY7NixQ5CLB4Z2zwJj5G9/+9uIC136OugDDKPwUkHYPIhZ33zzjcoDhTrwnEM4PuRO0SKWPtffpzaww1sMb9P7KsiNhLwqoQpdCJGHUIDeihZ3IMZgbE6n010N4z7qqKNUaDKEcoRYo3N3TZw4UeBpFmjRQhVCnGnR0Nu5CB2H0HII4YYcUbro85sSurSXAUJIwtAeTNEsIKogXJq34u/5MdfHMwhhCwUGaIizngXz6bnnnouZ0LVr1y63N4e/0Gue/cT36667ThnAPXMDedbVOQJD9ejyFLrQPozz8FLBOoC5jLlqLhDB8YIEwnsijKivgrBtEK5hnIcwrot+Dn2FLgx3DYqH0BXOvQ5kjkdK6GoqdKFmB0FYR3ODYANBpqkwmvr+mj91ewjNixC93go8vrRXoVno0usDzkGYV/NaaW4HOcCQCyzWQhf6gHCGCNmIF0CQ2wwhZ/FSBl7C0Pn2zH31tg0vZojw8GpGCEz8puG3zbPoFzA8w8x61rP7d1sLXTWGM9f8LQxfaLdJiDfh8UY8S2MCFdUbpKLad/zrxmdwDwkkPoGUlHRpkTXeGGjDP5DtOPKiA7WyYS9f0LDjvTP3eWhHp2Sm238+msfEbRIgARIggeQmEIzQhTejESYH4eLMb22HQjAQA10o7drpHLxxjjfP77jjDvnTn/7UqOv+GMVC6ILBetSoUY36hR06TJU5nxYEJAhJyCuEueItL4o2uHkTQby1iWsFKpygri7I3QIPgrKyMuVlBeEJBXlo4E3imftHn+frE3lkIBgVFBQo7yjPkIj6PJ0zLFShC4ZPzAtvBeHo4CmBvD/w0PIsEGnuvfdetxgDoyc8FiBIQRgItGjeqO8v5N/tt9+uci0h/w5ENV30+d7usa6DTwjlyNOEkGXwZMBnoEUbsjHXEB7TW/H3/JjrwxAPgzw8oiDeeCt63sTKowt90J4qEHeCyWH42GOPKcM31uoXXnjB23DUPhjTIUpHUuhCvlsIruXl5eIt1B28WDBXmhJN0HfMCYzFnNtJC13IbwghzLOEuwZpccXf2qdDbkYqdCHGEOq9DmSOR0rogtclPIa8FXhUIRQlBBuzt6le7zF/ce+CKVoUxcs1CM3nrcCzSa9tZqELf6NAAAOfzz//vEF4QHM7EOUQ7jXWQheEffzm46UP5NHDOhZO0b8NaANrPsZjLvrvBV9CmLmunbdtLXQB/NJCl5RXM3yhnSYhwxb6vlu19RWyv+J/vivwCAkkKYHcjEMkI71xrGm74Vi23SWlLv5m2e2+efaXebo8ifA7CZAACZCA3QkEKnQhpNoNN9ygPEbwVvC7777b6G39YFgEYqALpr1I1kXYJF+Gp0ge054XyKOEMG6exR8jbbjyNLyb20BfEX4PBaHldNg3fPd3PsLzYV4gJ5UOJYVzzMWbKKXFoIyMDHW+p9CF/uA8iCfeRBBvbeKagQon5v5hG4ZEeF+ZPeZgHIe3CMI7wbPE0yDo2Yb+DsEMXlIIkQjPHnjDeBa8UY86MPqGKnTB0P7mm296Nq2+wysC+WoQDgxhxDwL8rfAkwZjw/MJA3CnTp0E98XTs8bzXPN3zRv7EM4PvDwLxohwefjE3MUc1kWf7+0e6zr4xPweP368WlOCFR5LS0vdISlh5MW1PIu/58dcVwtDvrz1du7cKWPHjlVj9Xze/F3D3zOmr+/vGb366qvVXAhWJMDzhZB/EGMhpHsL0Ym5DyEBJZJCF9rTeeogCmMumJ8x5Fm7+OKLVUhI9A1eg55FryMIp4uwdxB2dYG3Ju4B1jLkhfNcp/W5oa5Bgax90RC6Qr3X/uafZhYpoQvrOXJS5ebm6qbdny+++KLKCdetWzcldMHTEgXeVPDGQj+xrmF9C7RA9IfXk791BJ5MeH5RzEIXvkOYgzcvxCR42noreHkBcybWQhdeDsBzClHKW6hBb31tah+EevwG4LnCum8uU6ZMUYIffhPxYk2iFtsLXfsr6+THHa5EvT8JN64O+enStUV6wo0rkgM6ULVIqmv3RLJJtkUCtifgSGslec6hth6HEUlE5m6mF7Ktb+LPnS/IMkLwtmn8P2SJMDaOgQRIgARIIDkJ+BK68Eb01q1bVegy5IFAmDEUJLtHqBxvhuVgCAZioAumvUjVhScSDGPIywNRxGwkhqHutttuU2IGvEDMJZRj2jsBOZkgJHoWf4zCNaL7O/+SSy5RoehglIQ3kKcxGf30JkrBiwpv9aN45gdyuVxKOMMb/ijejJfe2kRdX8IJ7hXyk8Bzy1PIgccPcpZApPjqq6/coghCm0EEgJEcQg1EGuS1Mhd4o0A8gbhhFuu04RW5m5BXDV4YukAIgxCMcG0ooQpdOHfq1KlKDMC2LphvyNWEewGPCc8+63oIe4U+gCXELhjQ0a9giuaNc2CEhWEfXjq6gA8MpuCKnGcwJmvDNuro873dY92G/tSeCBAm8GwhT5DnvVy9erUgvBu8eMxlyJAhar8vkczf82NuR4sv2OeZDwjzB156yHmFEkuhC2MGd4iJMNpjXniKDOgf8iJ5hlvURn4w+/vf/65CzaoBGP/ZtGmTCi26cuVKtSvSQheedXh2IqQkPBCx1ugCYQ+C7SeffKKeT4jQWGt1QZhGzAH0EfMW89dcEGYS4iiKN0+3cNegQNa+aAhdod7rQOZ4pIQuMIdAA3HJfM+wluI3s7i4uJHojXPwwsQzzzyj/naAKGVeS3Acf2tgDkMY1fkUsR9iNtZ2tIv7cuuttzb4LcI6g7mE5wPFU+jSgi/WFqzd5mcEvwMIwazD68Za6NLe3Hg+4GXVqlUrNQaI08gLqL+rnT//B2slXlzp1auXebfa1vkSwVDn+dKVMFbkw8NvZVMhQ/U5dv20vdBl2A1l3uYqqYMFkcXyBIZ3coojjeGe/N2oqpptUubynSjR37k8RgKJTKB51lhJTfklBr3dxuqqrZeFW5mfy273zVd/x3TN9HWI+0mABEiABEjAdgS00AXjMgQXFBieEIIKRjRd8OY93sSH4dFs5NLHg/0MxEAXbJuRqA/Dqw7PhE8YjHVBCC1t8MYn3l7XJZRjCLkGQx4K3pSHiGgu/hj5E6p0G/68RfydD9FNe+jAsAYDYWVlpcDbQYsNvkQphIFCOCgUvGGO+jDi4q357du3q3BmECZgrIPhzlx8telLONFCId5eh8CG+YucJUuXLlWhExFGy9PQjuvBWA5jus7dMmDAANUfCDiY93jLHuOdP3++ypui+wgx69xzz1Vv4uMZwL3DOLZt26buHwz8yE0GQ3AoQhf6j5BtMMBCRMOY4NUCbzz8i2cUYhfELF/F7KmD+pinvkQxX21o3vBwwjgxH+CpBiM0GKBN3EuIgBBRdOgw3Z4+PxChC+dgLiKvGeYrRETcjxYtWqiwesgRBtFj8uTJau7oa+ATofG0ZxvC8KEfEH5uvvlmZSj29/yY28F9w9yGyIJ1DnMWfcB1YUDOzMwU5LtCiLFYCl3oIzz48LzAmA9jPAzWmO8QdDDv0Gc8o7jv5oL9WLsQmhAeUZirMKAjtxueRYR1w/x67bXXIu7RhX5AyMKzAGEW+dsgSuqCZwteiVjz0Cd4CCM/EfqMZw7HERYQghLYexasTZiTEAUgEvTs2VOdg/uDEs4aFMjap4UuXN9TeFQd+Pk/GBPC5gVaQrnXgczxSAldEKKxtuHZxPOG8aFteBAhVxbCkOJFBrPojbFjXcXfDljvsSZhHcHagHpYb9EG5rOnZyjO1WI91nKcg7mC87CG47rwyMKcRihXT6EL5+vwqrgu1jDkA4Tgg7CpaANjQrhXrGVY983F129kIMzRDv5+wN8TF1xwgfJMM7cNEQ7iIDyEvZWWLVuqcI1Y6zHPULAO4MUTrE1giHUAL3TgtwG/ZShYR/E7ai54ro499lj1LGLckfIgM1/DKtu2F7oAckdprazfw5wnVplUvvrRwngDvh/fgPeFx72/XupkX/nXgk8WEiCBXwhkO3pLpqPbLztstkUPZJvdsCa6O6JzpqSHF0a7iSvwMAmQAAmQAAnEjoAWujyvCEMLvDVgEMW/MNzDoBipEqixKFLXC7QdHRoL9ZGvB2KNLnj7G0ZOGPpgXNIGKBwP9Ri4QpiBgAFjurn4Y+TLCGc+P1ShC23Agwj5dPTb8tiHHFDwhkLxJUpBaHrooYdU7ib0HwWcYJyDUREiwjHHHCN4yzxcoQuGSoS2goEThlBzgWiEt/1hTDTfJ10HxnT0E4ZUiAHmAgMi7gsM5p55ozAmcIEHHzwNUJxOp0AUgmETwhDCB4YidGkxBwIeBBx4xIATjLR4Bu80DPlg11SBxwQMn8GGvNPtaqEKHm/oCzwy3n77bdm9e7eqAjEIhm4ITVgjPIs+P1ChC+dD9MD44KUHo7kuuHcYD3L0aE8efQz14I00Y8YMJZJhP+rDAA5PTH/Pj25Df0J0Rkgv5G/TBSIjGOIaEDQgDMVa6EJfICrCYA+BEeExzQXrE0IQQrj1LBCY4RWF8H94LlFg5IbRG88N8gRdccUVURG6cC3MZ8yFwYMHqxCiZs9QGPgRTg7zSvcN8xzP7aWXXqrEAbThrUDgQ9hXtK0LBGd4FqKEswbh/KbWPi10oa6/AtEWnkrBlGDvdSBzPBJCFwRkiKn4ewH57CAK6fUdQirmHzwfcQ99FYiqyM8G8Rq/TbpAZIJIdtVVV6l1Tu/Xn/itxTWxNuAlHBSwhZCrPVbhZe5N6EJdrNUQ6OChjoJ52Lt3byWIH3/88eo3CfMxVkIXxCn8fiMPHMRr/F5g3cJar1+2gBcrijnUIERTeKZBJPMsWKvxLOPZ9izaow7rKLzzE7kkhNBlvCRveHUxHJTVJ+qQDk7Jcvhe8Kze/1j2r8y1QqpqCmN5SV6LBCxPIC01T5plHnzb1fKd9dLBogO1smFvw//59lKNu2xCYGhHp2Sm8zfNJreL3SQBEiABEiCBoAnAsAaDsKcRH4Y9eEPAqwJil7mEegxCCwQu7ZVhNgab24/HNsYErxa8AQ/xx5wrp6n+wEsGBk0YJmGE9paLp6k2Aj0OwQOGWOQnwXXgaeB5f/y1hfFBGIKohZBR3sJGeTsfBksYSCHoeBPTvJ0TzD6IGhs2bFACsz/PEc82EbIRcxhhwuBpGGzRQhW8ymA81gVGeIh7MBJH635ivug5B7Edc86bV4/uEz5hHAYnnItn1hxu0lwvkG0Iu5i3+fn5SnTxZ7gPpL1I14EHDIQeGMjBJpCxggu8XhDCrVu3bpHuUljt4dmFAAFPQawTwXgLwwsIcwXPLc71fAbDWYPCWfvCAmI6OZR7bTo9qpu4bxBj4JEXzO8COoVz165dq8QurLXIt+Z577x1Xl8TIrY536S3ut72YZ3HfMELOxCx41HADN6jWFfg+QyByttv/quvvio33XSTeokC55j5IKQjRGzMf6xT+L3zNR48A/CCw28jBNxAXpSIB5dIXTMhhC7A2FRcI4Ulv4RUiBQgthMZAlmOVBnSISMyjSVBK8jRhVxdLCRAAg0J5GeONLxomjXcaZNv63ZXy86yg28f2aTL7KYfAgPaZhjCK126/CDiIRIgARIgARIggQAJwKCKXFgwXr/44ovqzfYAT2U1EmhEQIepguET4bx8GUAbnWjaoYWuYDyyTKdzkwRIgARIwAsBHVYTIXDhZearQKCCtyaEd3io4kWTUAq82eD1hlCHeGnBasJ9KGPyd07CCF01hsfj/C306vJ3s+N5bFB7p+Rk8M33YO7Bvor/GbnnDrqWB3Me65JAIhPITO8q2Rl9bDnExdtcUokfK5aEINC9wCHt8tISYiwcBAmQAAmQAAlEggBC4+BN6UAK3r5H3gqWXwjMmjVL5ZJC2C6E80MoPBYSCIXAlClTVF4ghG280wgFGEqh0BUKNZ5DAiRAAv4J6PX5mWeeaZRLy3wmPGcRKhWevAjZ6M3ry1zf2zZEsrFjxypvrnfeeUeFSPRWL5H2JYzQhZuyraRWNhczLJTVJmi+M1UGtqM3V7D3paJ6jVRUbwz2NNYngYQmkJqSIc2zxtlyjHM28WUMW944H51um5smPVo6fBzlbhIgARIgARJIPgLIR4TcHYEUhNqB4YalIQHk4IFHl8450vAov5FA0wSQpwY5mRBWECE2EeIrlEKhKxRqPIcESIAE/BNA7kXkNkQIwZdeeqlBSEJ9JkLWIichcvKdeeaZ8vTTT+tDQX0iJyaucc0118j1118f1Ll2rZxQQledkatr/pYqwwvG2GCxDIHDjDwmTuYxCfp+1NSVSknlnKDP4wkkkOgE8pyDxZHWxlbDxO/T98wlaat71lRn+RJHU4R4nARIgARIgARIIFgCCGG4e/duSUtLCyn/SLDXY337E0B4q1tuuUWFJ/zmm29kzZo1alAPPfSQnHfeeSEPkEJXyOh4IgmQAAn4JIBcWWeccYbKCdmjRw/BS0LIsVVvaBn4/Uc+ri+++ELlMUNurddeey2ovHXmCyNvZV1dnfp7An9XJENJKKELN2xPea2s3kWvLqtM3nZ56dK9IN0q3bFdP0oq50tN3T7b9ZsdJoFoEshIayu5zkHRvETE2641hK55FLoizjWeDTrTUuWwTvRWjuc94LVJgARIgARIgARIINkJlJWVCfJo6dK6dWv585//LJMnT9a7Qvqk0BUSNp5EAiRAAk0SgAD17LPPyuuvvy7w3jKX9PR0gcB1/vnny8knnywZGbQ5mPk0tZ1wQhcGzDwoTd322BxPkRQZ0cUpaUzNFTLwqpotUuZaFfL5PJEEEpVAi6zxRhJN+4SNYx7JxJuJqSkpMsr4jWNJPAJLliyR/fv3uwd21FFHhRQT3d0AN0iABEiABEiABEggigTgIbB9+3bJy8uTTp06KY/AcC8H4+uqVasE+fSQJ4aFBEiABEggsgTgxYX1u6ioSK3bbdq0kYKCAsPWRUN6qKRjInThx3HmzJnuPl544YXSrVs39/dIb5RX18vSwqpIN8v2giTQq5VDWuckh2tkkGgCrl5fXy3FFbMCrs+KJJAsBHIy+hkhUTvbZrguw6Vr4Vb+LtnmhgXY0TFdMwOsyWp2IvDyyy/Lpk2bVJfxPxl33HGHnbrPvpIACZAACZAACZAACZAACZAACZBA0hGIidC1dOlSeffdd91wzznnHOnXr5/7ezQ2NhXXSGFJTTSaZpsBEMh2pMrgDnSvDABVk1VKq5aKq3Znk/VYgQSSiUB6anPJzxxhmyFX1tQb3sYUumxzwwLs6GhD6OK7VgHCslE1s9DldDpV+B8bdZ9dJQESIAESIAESIAESIAESIAESIIGkIxAToWvlypXyxhtvuOGOGzdOxo8f7/4ejQ0jHYos3FIl1XXYYok1geGdMsVBZ66IYK82RK4DhtjFQgIk0JBAs8wxkpaa23CnRb/R09iiNybMbo3uYghdVLrCpGi905944gnZt+9gfkyEALr22mut10n2iARIgARIgARIgARIgARIgARIgARIwE0gJkLX1q1b5YUXXnBfNBZCFy7GN+jdyGO60a9NhrTISo3pNRP9YvsqvpG6eleiD5PjI4GACDjSWhthC9tJRlq7gOpboVKpq16WbadHlxXuRST7MMoQulIpdEUSqSXauuuuu9z96NChg/zxj390f+cGCZAACZAACZAACZAACZAACZAACZCA9QjEROiqqqqSadOmuUfftWtXmTJlivt7NDd2ltXKut3V0bwE2zYRQE4u5OZiiSyBctdPhnC7ObKNsjUSsBGBtNR8Q9xqr8St1BT7hUWlR5eNJlsQXaVHVxCwbFTVLHQh+fpZZ51lo96zqyRAAiRAAiRAAiRAAiRAAiRAAiSQfARiInQB60MPPSQVFRWKcCyFLlwQQhcEL5boEshMT5UhRl4uhnGKPOeaun1SUjk/8g2zRRKwMIHUlEzJSG+rxK10Q+iyc6GHsZ3vnu++M0eXbzZ2PbJx40aZMWOGu/sItY1IBCwkQAIkQAIkQAIkQAIkQAIkQAIkQALWJRAzoQuhCxHCEKV58+Zy1VVXxYwKsnQt2+6SMlddzK6ZbBdKNdStYZ2cYmhdLFEisL9yjtTWlUapdTZLAlYhkKLELWdaeyPPXyurdCrsflTV1MuibQxdGDZIizUwpmumxXrE7oRLwFPomjhxohxyyCHhNsvzSYAESIAESIAESIAESIAESIAESIAEokggZkLXu+++K0uXLnUPZerUqe7tWGzUGmrXwq1VhlAA2Ysl0gSGdHBKloOJSiLN1dxeZfVGKa9eY97FbRJIGAKOtALDc8vw3jJyb6VIesKMSw+k2nAqXrC1Un/lZwIQwAseo7o4E2AkHIKZwKxZs+Sbb75x77r44oulffv27u/cIAESIAESIAESIAESIAESIAESIAESsB6BmAlds2fPlq+++spN4MILL5Ru3bq5v8diw2WoXYu2uaS+nmJXJHkPaJshzTLpyhVJpt7aqquvlH0Vs70d4j4SsCWBtNScg+KW4b2VlpptyzEE2ukaw6F4/hYKXYHyskO99NQUGdGZQpcd7lUwfXz99dflp59+cp9y2223SVpamvs7N0iABEiABEiABEiABEiABEiABEiABKxHIGZC148//ihvvvmmm8AJJ5wgo0ePdn+P1UaZq15+2M7wUZHi3aOlQ9rm0gAUKZ5NtXOgarFU1+5uqhqPk4BlCaSkpKucW/DeghdXshQ4E3+/mUJXIt3vbEeqDDbyUrIkFoHnn39eioqK1KByc3PluuuuS6wBcjQkQAIkQAIkQAIkQAIkQAIkQAIkkIAEYiZ07dixQ5577jk3wlGjRsmJJ57o/h7LjQNVdbK8yBXLSybktboXOKRdHkWuWN5cV02hlLpWxPKSvBYJRIQA8m0509oZoQmTNwTYnE0UuiIymSzSSKvsNOnd2mGR3rAbkSJw1113uZvq2rWrTJkyxf2dGyRAAiRAAiRAAiRAAiRAAiRAAiRAAv/P3pnAW1KUd7vuPgsDw8BsgDIiiRg3XHEFNBgwSDDGiEp0cIm4RHGJ66cC0bglGoxoxBgDRqMkooCALC4zKgoCMijCiIZF9k1mGJjtzp3zvf+Gaur27T69nD73bE/N7845p7u6lqeq36p631q6k8CsGbqmpqbcRz7ykZhCp5UH99nKrl+xsisuj7JfHmkruZawkqssthr8N9w9G1e5httWQ1gEAYH2EhgZXmDGreXRuVvDQ2zxpnMitYUurj8I7LnzmNttRyZ79EdpPpALreTSii7vnvSkJ7nDDjvM/+QTAhCAAAQgAAEIQAACEIAABCAAgS4lMGuGLuX/xBNPdHfffXeM4thjj42/d+LLxknbxvAWO7PL/uGKE9h71zG3eD7KveLE6vV5/9ar3JZtN9cbKKFBoCYCw0PjtjWhjFtL3ejwTjWF2h/B/PbOSXfXxqn+yAy5cI+28ykXcj5lX9WENWvWuDPOOCPO0wte8AL3tKc9Lf7NFwhAAAIQgAAEIAABCEAAAhCAAAS6k8CsGrrOOussd9lll8Ukjj76aLds2bL4dye+bNnWcJffjLGrKPtHLzHF3tzhot7x1wYCk1N3uw1bftGGkAkSAtUJ6MytidFldu7WkuqB9PmTt22Yctf9YbLPczk42Xvi7hNuzujQ4GR4AHJ6/fXXu1WrVrkbbrghyu0b3vAGt3Tp0gHIOVmEAAQgAAEIQAACEIAABCAAAQj0NoFZNXRdffXV7oorroiMWytWrHD66wa3bbuzbQy3us36gkslMDw05B63fNzNG0Oplwpoli+u23Sh297YOMuxEh0EphMYHV4YGbfG7eytoSHOKppOZ+av9Zu3u6tu53zImWR688rTHj7HjdAk9mbhFUj1HXfc4ZYswXBfABVeIAABCEAAAhCAAAQgAAEIQAACHScwq4aujue2SQK0eeF1d0+62+9jW6kkpnljw+6xy8bdCAu5kmg69nvT5P+5TZPXdix+Ih5cAsND88y4tdS2J1xmMmGHwQVRIedaQfyLm7dUeJJHupHAM/ac043JIk0QgAAEIAABCEAAAhCAAAQgAAEIQGDgCGDoShS5zk/ROSq4BwjsvuOoe9jOo45J691VI6a23+/Wb/5pdyWK1PQtgSE3Ep25JePW2MgufZvPdmesYTMqLvr95nZHQ/izQGDHiWH3GJsAgoMABCAAAQhAAAIQgAAEIAABCEAAAhDoPAEMXSlloFn32spwcrvWeQ2mGzLT1mOWjbkFpszDdSeBezdf6rZtv6c7E0eq+oLA2MiubsLO3hq3s7ecQxbUUai/tLbl/q1sk1sHy06GsdcuY27pDiOdTAJxQwACEIAABCAAAQhAAAIQgAAEIAABCDxIAENXRlWQievm9VPuxnWDt7pr0bwR90hT4o2i186oHd1xecu2G01hvrY7EkMq+oaAtiOcsJVb46PL3fAQW7PVXbC3bphy1/9h8NqVujl2Orx9d5twczmzstPFQPwQgAAEIAABCEAAAhCAAAQgAAEIQCAigKErpyJsnWq4tXdMDsQM/JHhIfcnS8fcDuNYuHKqRVfcbjQm3T2bVnVFWkhEbxMYHhqzM7eWR9sTjg4v7O3MdHnqN0423BW3cE5XlxdTbvKe/vA5bog9fXM54QECEIAABCAAAQhAAAIQgAAEIAABCMwGAQxdBSnfs2m7+40ZvBr2rx/dIxbZNkwLRjiLq8cK974tv3Jbp27rsVST3G4hMD6yxE3YtoRjtj0hbnYIaEfcizmna3ZgtykWTQZ53HLO52oTXoKFAAQgAAEIQAACEIAABCAAAQhAAAKlCWDoKoGsYQrKuzZOuWvv3ua260cfuIctHHPLzcA1wiKunizNyak73YYta3oy7SS6MwRGh3eKtiUcN+PW8BDK+k6UwlW3bXXrt3BOVyfY1xHnH+065nadz/lcdbAkDAhAAAIQgAAEIAABCEAAAhCAAAQgUAcBDF0VKMrEtW7TlPvdXdvcNk3P7zE3bPst7bnzqFuyw4gpunss8SR3BoF1m35khle2QpsBhgsxgeGhudG2hON29tbo8IL4Ol86Q+Aeaz+0JS6uNwk89WFzOMOyN4uOVEMAAhCAAAQgAAEIQAACEIAABCDQpwQwdLVYsBtsVv51f9jWE2d46QyuvXcZdTvPtS0KMXC1WPLd8/jGyWvc5skbuidBpKRLCAxHxq0JO3trbGSXLkkTyRABO/rR/ZztC3uyMswdG3b77sZKyJ4sPBINAQhAAAIQgAAEIAABCEAAAhCAQN8SwNBVU9FKcfkH29bwxnum3Jap7tmSatSMW7vvNOoW2zZLY+y0VFNpd1cw27bf6+7dfHF3JYrUdIyAjFralnDczt4acrz0HSuInIivtO0LNVEC11sE2Lawt8qL1EIAAhCAAAQgAAEIQAACEIAABCAwGAQwdLWhnLeZ7nL95il3x4Yp+2w4/ZtNN3982C21c7d2nqMVHSzdmk32nYprvRm6pszghRtMAiPDOzxo3FruRmybQlz3E1i3abu7+o6t3Z9QUjiNANsWTsPBDwhAAAIQgAAEIAABCEAAAhCAAAQg0BUEMHS1uRhk4toy2XDrbeb+3feZ4asNM/i1ldKutmJr57nDbu7YEOdutblMuzH4zdtucBu3XtONSSNNbSIwNDQWGbcmbOXW6PDObYqFYNtFQMc7Xsz2he3C25ZwF0wMu8cuY9vCtsAlUAhAAAIQgAAEIAABCEAAAhCAAAQg0AKBrjJ0bd682c2ZM6eF7PTGo9rZcKvtdbjZln7dbxP6N09ud5P2e+uUc5Om/dxu96caDTNY2cZjtiBr1P4zW5YptYfchK3Qmjcx5OaODkff7QMHAbe9scWt2/QjSAwAgbGRxfbuLzN5sGwActvfWbz27kl3u02AwPUGgT9ZOu52spXSuP4hcN5557kVK1a4Rz3qUf2TKXICAQhAAAIQgAAEIAABCEAAAhAYQAIdN3TJuPWb3/zGXXTRRU7fjznmmAEsBrIMgdYJbNhyuRlM72o9IELoOgIjwzs+aNxabgZwVpR0XQFVTNDWbQ132c1bKj7NY7NJQBNPnvbwCTv3DtcvBK6//np3yimnRNlZuHChO/jgg90+++zTL9kjHxCAAAQgAAEIQAACEIAABCAAgYEi0HFD1ze/+U3361//OoZ+xBFHoGiIafAFAsUJbJ26zd235VfFH8BnVxMYHpqwM/YeWLk1aoYuXH8SuPLWrW7DVlvGi+tqAo/cZcwt2WGkq9NI4soRkJFLxi7vjjzySLf33nv7n3xCAAIQgAAEIAABCEAAAhCAAAQg0EMEOm7oWrt2rTv11FNjZNpCZuXKlfFvvkAAAsUJ3LNplWs0Jos/gM8uIzBkxq2lbsK2JdQWhbj+J3Df1ob71a2s6urmkh6ydVxazTXMcq5uLqZSaVu3bp37zGc+Ez+zYMEC9453vCP+zRcIQAACEIAABCAAAQhAAAIQgAAEeotAxw1dwnXiiSe6u+++OyZ39NFHu2XLOH8mBsIXCBQkcP/Wq92WbTcV9I23biEwNrJzdOaWzt0aGhrtlmSRjlkicOmNW6LzGWcpOqIpSeBhC8fcHjuxmqsktq72fvrpp7srrrgiTuMhhxzi9ttvv/g3XyAAAQhAAAIQgAAEIAABCEAAAhDoLQJdYehas2aNO+OMM2JyT3jCE9yLXvSi+DdfIACBYgS2bf+Du3fzZcU846ujBEaG55txa2lk4NJ33OASWL95u7vq9q2DC6CLc67VXE+11VwjrObq4lIqlzSdB6vVXPqUmzNnjnvnO9/pRkeZZFCOJL4hAAEIQAACEIAABCAAAQhAAALdQ6ArDF3bt293J5xwgtuwYUNM5phjjnE6HBwHAQiUI7B+80/d1Pb7yz2E71khoNVa3rg1NrJoVuIkkt4gsOaWrW7TJGd1dVtpPWLRmFu2gNVc3VYuraRn1apVbvXq1XEQz33uc93+++8f/+YLBCAAAQhAAAIQgAAEIAABCEAAAr1HoCsMXcJ28cUXu3PPPTcmeMABB7gDDzww/s0XCECgGIFNk9eawvz/innG16wQGBvZNTp3a3xUW7KyNGRWoPdYJBsnG+6KWzirq5uKbcQO5XrqHhO2nWg3pYq0tEIguZprfHzcvf3tb49WdbUSLs9CAAIQgAAEIAABCEAAAhCAAAQg0FkCXWPo2rZtm/vUpz4VbyUjLKzq6mzlIPbeJDDV2OjWb7qwNxPfR6keGV7woHFruRsemuijnJGVdhG45s5Jd/fGqXYFT7glCeyzZNztPHe45FN472YCydVcz3zmM93zn//8bk4yaYMABCAAAQhAAAIQgAAEIAABCECgAIGuMXQprT/60Y/cD3/4wzjZnNUVo+ALBEoR2LDlMjc59YdSz+C5dQLDQ+O2NeFyNz661I0O79R6gIQwUAS22c6Fl9z4wLlBA5XxLszsnNFh98Tdx7swZSSpKoHkaq6RkRH3jne8w82bN69qkDwHAQhAAAIQgAAEIAABCEAAAhCAQJcQ6CpDl5QQWtWl1V3esarLk+ATAsUJbNl2k7t/69XFH8BnSwR07taEbUs4NrKkpXB4GAK3bphy1/9hEhAdJrDvbhNu7hh7Fna4GGqNXttja5ts75785Ce7F77whf4nnxCAAAQgAAEIQAACEIAABCAAAQj0MIGuMnSJ4/nnn+9+9rOfxUhXrFjhVq5cGf/mCwQgkE+g4abcPRu1OrKR7xkflQiMDi+MjFvjI8vsDJ+xSmHwEASSBPTGrrl5q9us5V24jhDYbcdRt+fOox2Jm0jbQ2DdunXuM5/5TBz4kB28polUO+3EytsYCl8gAAEIQAACEIAABCAAAQhAAAI9TKDrDF3JrWXEVoYuGbxwEIBAcQL3bb3Sbd12a/EH8JlLYHhobmzcGhneIdc/HiBQhcDWqYa77KYtVR7lmRYJjI8MuSftPmHG6xYD4vGuInD66ae7K664Ik7TU57yFHfooYfGv/kCAQhAAAIQgAAEIAABCEAAAhCAQG8T6DpDl3Becskl7pxzzonJ7rfffu6QQw6Jf/MFAhDIJzA5dZfbsOXyfI/4aEpgyI1EZ25p5dbYyC5N/XITAnURuPP+Kfe7u9jCsC6eRcN58h4Tds4eVq6ivHrF39q1a522Lly/fr2bM2dOtJpLnzgIQAACEIAABCAAAQhAAAIQgAAE+oNAVxq6hPYLX/iC0+ouGbj22Wef/qBNLiAwywTWbfqx297YPMux9kd0MmpNmHFr3M7ecm64PzJFLnqKwNo7trp7NrGF4WwV2h8tHnO7zhuZreiIpwMEVq1a5RYuXOj23XffDsROlBCAAAQgAAEIQAACEIAABCAAAQi0i0DXGro2bNjgxsbGopm37co84UKg3wlsnLzGbZ68od+zWVv+tB3hA8at5W54iNn+tYEloEoEttuBXb+wLQwn9QXXVgJLdxhxe+3CWXtthUzgEIAABCAAAQhAAAIQgAAEIAABCECgTQS61tDVpvwSLAQGisC27RvcvZsvGqg8l83s8NCYbVX2wMqt0eGFZR/HPwTaSmByyoxdN2+xlZkYu9oFet7YsHv8buOODQvbRZhwIQABCEAAAhCAAAQgAAEIQAACEIBAewlg6GovX0KHQMcJrN/8cze1fX3H09FtCRgfWRJtSzg+srTbkkZ6IDCNwMbJhrvili3TrvGjHgJjw0PuiXYuF8dy1cOTUCAAAQhAAAIQgAAEIAABCEAAAhCAQCcIYOjqBHXihMAsEti87fdu49bfzGKM3RvVyPBObsLO3NIKruGh8e5NKCmDQILAHzZOud/cOZm4ys9WCAwNDbkn7z7hxjiWqxWMPAsBCEAAAhCAAAQgAAEIQAACEIAABDpOAENXx4uABECgvQS2N7a6dZtWtzeSLg5dZ22NP2jcGh1e0MUpJWkQaE7g5nun3O/vwdjVnFLxu49fPuHmj7NhYXFi+IQABCAAAQhAAAIQgAAEIAABCEAAAt1JAENXd5YLqYJArQQ2bFnjJqfurDXM7g5s2IxbS92ErdwaG9m1u5NK6iBQgsCN67e5m9ZtK/EEXtMIPHbZuFswMZx2i2sQgAAEIAABCEAAAhCAAAQgAAEIQAACPUYAQ1ePFRjJhUAVAlunbnf3bflllUd76pmxkUXRtoRawTXk2I+spwqPxBYmcIut7LqBlV2FeYUeh0wyPG75OCu5Qih8hwAEIAABCEAAAhCAAAQgAAEIQAACPU4AQ1ePFyDJh0BRAus2rXLbG/237dnI8A5m3FoabU84MjSvKA78QaCnCdx+35S79u7+e5/bWSgycj1ht3E3d4ztCtvJmbAhAAEIQAACEIAABCAAAQhAAAIQgMBsE8DQNdvEiQ8CHSJw/9a1bsu2GzsUe73RDg2NRcatCVu5NTq8c72BExoEeoTA3Run3DV3YuwqUlzDQw8YueaMYuQqwgs/EIAABCAAAQhAAAIQgAAEIAABCECglwhg6Oql0iKtEGiBwLbt97h7N1/aQgidf3RsZLGTcWvczt7CQQACzt2/teF+ddtW12g0wJFBYM7ocLRdoX3gIAABCEAAAhCAAAQgAAEIQAACEIAABPqQQF8YutasWeOWLVsW/fVhGZElCNRGYP3mn7mp7ffVFt5sBDQyvOODxq3lbnhofDaiJA4I9BSBbdud++WtW23Fpn3BTSOweP6Ie+SuY7ZpIa5fCZxxxhlu8+bN7vDDD3dz5szp12ySLwhAAAIQgAAEIAABCEAAAhCAAASaEOh5Q9fq1avdqlWrIuXGypUrMXY1KWxuQWDT5HVu0+Tvuh7E8NBEdOaWVm6NmqELBwEINCeg9Vw6s+sOO7sL9wCBP1485naZNwKOPiYgI5cmO8lpwpOMXfrEQQACEIAABCAAAQhAAAIQgAAEIDBYBHrW0KVtms4991z385//PC4xzeQ95phjmNEbE+ELBKYTmGpscus3/WT6xS76NW7bEk6YcUtbFOIgAIHyBO7ZNOXW3jHY53aNDg+5xy8ft5WgrOMqX4N65wkZuGToCt2znvUsd9BBB4WX+A4BCEAAAhCAAAQgAAEIQAACEIDAABDoWUOXyuaWW25xJ598spucfEipp5m8WtnF9jUDUHvJYiUCG7b8wk1O3V3p2XY8NDayc3TmllZvDQ2NtiMKwoTAQBHQDobX3LnVrd88eFsZPmzhmNt9xxGTJQNV5AOX2TQj1yMf+Uj3ile8wg0PcxjbwFUIMgwBCEAAAhCAAAQgAAEIQAACA0+gpw1dKr3rr7/effWrX3VTUw9t14Sxa+DrNQCaENi67RZ339ZfN/HR/lvDQ/MePHdrmRsZnt/+CIkBAgNIQIau39jqrilbAd3vbt7YsHv00jEzmmPh6veyvu2229wpp5wSncvl87rbbru5V7/61W50lMkSngmfEIAABCAAAQhAAAIQgAAEIACBQSLQ84YuFdY111zjvvGNbzhtZ+jdvvvuG53V4H/zCQEIPECg4ba7dRtXuYZ7yDg8G2yG3Kidu7U0Wr01NrJoNqIkDggMPIHt1izefO82d9O6bX3JYtiWbv3x4lG381zO4urLAk5kKs3ItXjxYvea17yGlfwJVvyEAAQgAAEIQAACEIAABCAAAQgMEoG+MHSpwNK2scHYNUhVmbyWIXC/rejaYiu7ZsONjewanbul87ecY7XFbDAnDggkCUyaXfv390y6O+6fXQN3Mh11/R4yWfKIXUbd4vkjzo7kwg0AgTQj14477uhe//rXu/nzWRk8AFWALEIAAhCAAAQgAAEIQAACEIAABDIJ9I2hSzm8+OKL3bnnnjsts/vss0+0soszu6Zh4ceAE9AZXTqrq11uZHhBbNwaHprTrmgIFwIQKElABq8bzOB1Zw8bvB6xaMwt2QEDV8mi72nvXUXFIQAAQABJREFUaUYuGbde+9rXup133rmn80biIQABCEAAAhCAAAQgAAEIQAACEGidQF8ZuoTje9/7nrvwwgunkeHMrmk4+AGBiMC6TT9x2xubaqMxPDQebUuolVujwzvVFi4BQQAC9ROQwevm9dvcrRt6Y0tDbVH4iEWjbldWcNVfGbo8xDQj1/j4uHvd617ntG0hDgIQgAAEIAABCEAAAhCAAAQgAAEI9J2hS0V69tlnu0svvXRa6WLsmoaDHxBwmyZ/Z3/XtUxifGSpmzDj1tjIkpbDIgAIQGB2Cehky/u2bI/O8Fq3efvsRl4gtuULRt3SBSNu7hj7ExbA1Xdesoxcr3zlK90ee+zRd/klQxCAAAQgAAEIQAACEIAABCAAAQhUI9CXhi6hWLVqlVu9evU0Knvuuac76qijpl3jBwQGlcDU9vvc+s0/q5T90eGFkXFrfGSZGxoaqxQGD0EAAt1FYMrsXOs2T7lb752yrU07Z/TSqq1lZtzaYXzY5Et3MSI1s0tA21FrW2rv5s2bF/XjWMnlifAJAQhAAAIQgAAEIAABCEAAAhCAgAj0raFLmfvFL37hvvOd7+irm5iYiJQjWtmFgwAEHiBw7+ZL3Lbt6wrhGB6aGxu3RoZ3KPQMniAAgd4ksN2Wem3e1nD32iqvu+08r3vbZPgackNu0bxht2j+sFtghq3xUV3BQeAhAieffLK74YYborO4Vq5c6Xbaia1xH6LDNwhAAAIQgAAEIAABCEAAAhCAAAREoK8NXcrg1Vdf7U477bToLAeMXCKCg8BDBLZsu9Hdv3XtQxcS34acFM/LorO3xkZ2SdzlJwQgMEgEttkiry1m/No0ud22O2y4+7Zud1vtiK9Js4ptb2gTxHQ3YsuyxkaG3JxR5xbMGXHzx51tRTgcXbPLOAg0JbB582Z31llnuUMPPdTNnTu3qV9uQgACEIAABCAAAQhAAAIQgAAEIDCYBPre0KVivf/++938+fMHs4TJNQSaEGg0Jt09m1bN8CGj1oRtSzhmRi4Zu3AQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgW4kMBCGrm4ET5og0C0E7tvyS7d16nan7Qh15pZWcI3YNoU4CEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEC3E8DQ1e0lRPog0GYCk1N3uKGhcTc6vLDNMRE8BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBeAhi66uVJaBCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAArNEAEPXLIEmGghAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgXoJYOiqlyehQQACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIzBIBDF0ZoDdv3uxWr17t9ttvP7dwIWcXZWDiMgQgAAEIQAACEMglcMUVV7hzzz3XrVy50i1btizXPx4gAAEIQAACEIAABCAAAQhAAAIQgEBRAhi6MkitWrUqMnTNmTPHPf3pT48MXvqOgwAEIAABCEAAAhAoRuC2225z5513nrv++uujB2TkOvroo4s9jC8IQAACEIAABCAAAQhAAAIQgAAEIFCAAIauFEhSypx00knT7mhV18EHH+z22Wefadf5AQEIQAACEIAABCAwnYBfGX/RRRdNv2G/DjjgAHfggQfOuM4FCEAAAhCAAAQgAAEIQAACEIAABCBQhQCGrhRqV155pTvrrLPcli1bZtxdsWKFO/zww9nOcAYZLkAAAhCAAAQgAAHn/DaFMnYl3e677+4OO+wwt3Tp0uQtfkMAAhCAAAQgAAEIQAACEIAABCAAgUoEMHRlYNu4caO74IIL3Jo1a1J97LvvvtGMZM7vSsXDRQhAAAIQgAAEBoyADFza+nndunUzcj5//nx30EEHOfWfcBCAAAQgAAEIQAACEIAABCAAAQhAoE4CGLpyaN54443u7LPPdrfffnuqTwxeqVi4CAEIQAACEIDAgBBoZuAaGhpyT33qU93znvc8NzExMSBEyCYEIAABCEAAAhCAAAQgAAEIQAACs0kAQ1cB2o1Gw1166aXuBz/4gUvbhkdB6Oyu/fbbz2lrQxwEIAABCEAAAhDodwJr16515513XuoKLuX9YQ97mDv00EPZprDfKwL5gwAEIAABCEAAAhCAAAQgAAEIdJgAhq4SBSAj1yWXXOJ0sLq2Nky6JzzhCe5FL3pR8jK/IQABCEAAAhCAQN8R0DaFq1evnpGvPffc0z372c92e++994x7XIAABCAAAQhAAAIQgAAEIAABCEAAAnUTwNBVgei2bdvc5Zdf7n76059Om8W8cuVKVnRV4MkjEIAABCAAAQj0HgFNADrhhBPcli1bosQ/6lGPcvvvv7/bbbfdei8zpBgCEIAABCAAAQhAAAIQgAAEIACBniWAoauFotOWhldeeaW78MIL3Zw5c9xRRx3VQmg8CgEIQAACEIAABHqLwJlnnunUH3rOc57jFi1a1FuJJ7UQgAAEIAABCEAAAhCAAAQgAAEI9AUBDF01FeO9997rdtxxx5pCIxgIQAACEIAABCDQ/QS2b9/uhoeHuz+hpBACEIAABCAAAQhAAAIQgAAEIACBviWAoasLilZb/2hFGA4CEIAABCAAAQjMJgH1QdatW+eWLVs2m9ESFwQgAAEIQAACEIAABCAAAQhAAAIQqI0Ahq7aUFYP6KSTTnK33XZbdL7XihUrImWTDnLH+FWdKU9CAAIQgAAEIDCTgPobt99+u7v++uujPxm51N94z3veM9MzVyAAAQhAAAIQgAAEIAABCEAAAhCAQA8QwNDV4ULSTOpPfOITqanQ7Gr9LVy4MPqUIkoGMBwEIAABCEAAAhBoRkD9Cxm0ZNjSdxm2/Pe051auXBlNuEm7xzUIQAACEIAABCAAAQhAAAIQgAAEINDNBDB0dbh01q5d60499dRSqZDBSwaw/fbbz+2zzz6lnsUzBCAAAQhAAAL9SUCGrPPOOy8yapXN4XOf+1y3//77l30M/xCAAAQgAAEIQAACEIAABCAAAQhAoOMEMHR1uAg0y/qqq65y1157rbvuuuvcxo0bC6foiCOOqGTo0qzuU045pXA8occDDjjAHXjggeGlwt9XrVrlVq9eXdh/6LGVmebHH398GFSp78cee2wp/95zK4y1au+oo47yQZX67BTjk08+2d1www2l0uo9w9iTaP4J4+Z8/N1WZAWMPcXmn620A51grNxUbQc6JY+rMi7b9ixdutTttdde0Z+2Th4dHW1e+NyFAAQgAAEIQAACEIAABCAAAQhAAAJdSABDV5cVyq233hobvbTl0H333ZeZwqoK3bKKsDABVZVvCqNTRpiqCk6lGSOMKOS7TiivW6nHnVJeV31nVQIwzq+H8gHjYpxakcettAOdqMciUrUd6JSsaIVxs7wuWbLE7bbbbm7vvfeOjFtz584tVmHwBQEIQAACEIAABCAAAQhAAAIQgAAEupgAhq4uLhwlbcuWLe6uu+5yd955Z/Tnv+vw+Le+9a3R+V1ls9CKgaAV5VsritVWlNfNlH557DB05RF64H4nlNet1ONOKa9bqccwLlYXYVyMUyvyuJV2oBP1WESqtgOdkhWtMP7Yxz7mdt111+hv8eLFTn/6vWjRIjc0NFSsguALAhCAAAQgAAEIQAACEIAABCAAAQj0EAEMXT1UWHUlVWd4nHvuuZWC23fffZ3+qrg1a9Y4/VVxhxxySHQuWZVnpVit6qpuIdgKY52/pvxWcZ1irPqkPFdxMC5GDcbFOLUiK2BcjHEr7UAnGCtXVduBTsnjVhgXK0V8QQACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugipvMQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIH+IYChq3/KkpxAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYEigKFroIqbzEIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB/iGAoat/ypKcQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGBIoCha6CKm8xCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgf4hgKGrf8qSnEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBgSKAoWugirt7MnvJJZe4G264IUrQX/zFX7jx8fHuSRwpgQAEIAABCHSQwDnnnOM2btzodtppJ/f85z+/gynpn6g3bdrkzj777ChDj3zkI90Tn/jE/skcOSlEQP1O9T/lnvGMZ7jdd9+90HNVPM1mXD59nYjTx93Ln5OTk27NmjXut7/9rbv11lvdihUr3D777OP23ntvNzEx0ctZI+0QgAAEeo5AJ/REl112mbvuuusiVocddhiyv+dqDQmGAAQg8BABDF0PsRiYb3fccYeTwmfJkiVu7ty5Hcn3Mccc4775zW9GcV955ZVu5513npaObdu2uQsuuMCNjo66P/3TP3XDw8PT7vfqj8svvzwaSB966KFu/vz5vZoN0t2EAGXcBE5wa/v27e6mm25yu+yyC+9CwIWv6QRuvPFGt3r16qg9WL58ebqnPrr6tKc9zd18882RsvX73/9+H+Wsc1m55ZZb3FOf+tQoAa985Svdxz/+8c4lhpjbQiBPTpx66qnuHe94RxT3F7/4Rae+WLtcO+KqI3/0UaaX+K9//Wv31re+1a1du3b6DfuFnJiBhAsDQKBfx+ADUHR9k8U8PVE7MvrOd77TfeMb34iC1sSHxYsXtyOang4zrw/S6cwhuzpdAsQPge4hgKGre8qiUkouuugi9773vS969j3veY875JBDZoRz7733Og3oNZP597//vdu8eXPsZ8GCBdGM1uc973nRs0960pPc0NBQfL9dX/I6MGeccYZ705veFEX/5S9/2R188MHtSsq0cP/sz/7MaWZnmpszZ47ba6+9ohmemg2umZ5/9Ed/5MbGxtK8z7h2++23u6c85SlOCv6//du/dccdd9wMP1zobQKUcfPy+8lPfuLOPPNMJ8XSb37zm8jgridkdNfs6be97W1uv/32ax4IdweSwP777+/+7//+zz3mMY9x559/ft8zwNBVfxFj6KqfabeFmCcn2mF8ymLQjrhazR99lOmlJaWdmG7dujW6oZVcWuWnlV2aFPj1r389uj/9KX5BoL8JdGoM3t9UyV0ZAnl6ojJhFfWLoSufVF4fJD+E9vpAdrWXL6FDoJcIYOjqpdJKpPX+++93Bx10UGS8esITnuDOOuusGSuf/vd//9d96EMfcjJ2FXEf+MAH3Bvf+MYiXlvyk9eB+ad/+id3wgknRHHIgKfZlmmu0Wg4/dW14kuD3CxDV1r8e+yxh/voRz8arTJIux9eu/DCC91LX/rS6NJznvOceNZQ6IfvvU2gk2Ws90BuNgzVZUtJCubjjz8+klF5z77whS90n/3sZ/tqO1MZt1Uu3Vg2eeXRDfe3bNniHvWoR0WyWRMOZCTVat9+dhi66i9dDF31M+2mEIvIiXYYn7IY1B1XHfkr00dRu1VX3zqLUaeva3KNxklyn/zkJ92RRx4ZJ+nOO+90ixYtciMjI/E1vkCgCoG6x6pV0lDmmaJj8DJh9pLfXpd9vZ5+1ZU8PVE76hOGruZUi/RBmodQ/W5RHcegy67qhHkSAn1IwAQHrkcJvOtd72rstttujYc97GGNX/3qVzNyYasnGg9/+MMjP/Jnq6IaZjxq2KCu8a1vfavxuc99rvH//t//a9jWgLGf66+/fkY47bhghqs4zj/84Q8zorj66qsbdn5Gw1ZANWwW/4z7/sLKlSujcMw45S+19LnnnntG4T3+8Y9vmIFw2t/RRx/dsBVfDVvFFaddXPVnK7Qat912W9O4lUZbcdf44z/+44atamnql5u9SaBTZWxL9RuPfvSjG3beXdeB+/GPf9yw1Y/xOyN584lPfCJ6B2xlV+NHP/pR4zOf+UzDDBmxn2OPPbbr8lE1Qb/85S+jfNk2aVWD4Dkj8P73v78h+WwG04HgYVvsRfXGVlsPRH5nI5O2FWQsY2wCzWxESRyzTCBPTti2RHEdsMlhbU1dO+JqNX9F+ygnnXRSxMm2i20ro04Gbqu4ovGT+vA2waaTSSHuPidQ91i13biKjsHbnY5OhN/rsq/X0+/LPE9P5P3V+WnbGsf9A1vRW2fQfRNWXh+kHRkto+MYZNnVDvaECYFeJqDVMLgeJPCLX/wibozf+973zsiBGoXHPvaxsZ+vfOUrM/yEF2TgkgFstlyRDozyoL8sZ1swNmwLwSiPdRu6ZJBq5mTU+shHPjLNkChF/e9+97tmj0X3NLjG9TeB2S7jn/3sZ9F70I2GLpsBFhl49X78x3/8R+Y7bQfAN2xlapQP2zqoYYcC90Ul+fSnPx3lCUNX68U52+9V6ymuHgKGrurssp7E0JVFpr+uN5MT7TA+ZdFrV1x15K9ZGMrPS17ykqjd6mdDl8Y9frKaJt/gINAOAu0Yq7Yjnckw88bgSf/98rvXZV+vp9/XoyJ6Iu+3rk8MXcVI5vUfioVS3FdZHcegyq7iRPEJgcEggKGrR8v5DW94QzxAs73kZ+Tiqquuiu9rtVG3uTo6MN/73vfiPM62ocvztC20Gi9+8YvjdPzVX/2Vv8UnBGaNwD/8wz9EdbAbDV2CYFuGNYrMjpOx3SuetMqrH9wLXvCCKE8YuvqhNGcvDxi66meNoat+pr0WYruMT2kcZjMuH38dca5fvz6exNXPhi6tNvf9jf/8z//0CPmEQK0E2jFWrTWBBBYT6HXZ1+vpjwvCvtShJwrDK/IdQ1cRSrPvp9t1HLNPhBghAIEiBDB0FaHUZX6kNPZbEmYZVuwA5XgA9+Uvf7mtObDzvxq///3vS8VRRwfG9m+O89gpQ5cyrZktz3rWs+K0SNFQl9u0aVPj2muvbdxwww0NrYyp6lRGCsP27a4aRPTc1NRUQ8rCtO0miwassrrpppui1W8bNmwo+tgMf+IuNq3MLKqL74zEtXBBbOzA+MIhqF48+9nPjupfK4Yu1Q07mL2lsi2c6AyPyrtXPL3+9a/P8FX98saNGxuaGHD33XeXDqRK3deMca1OU55aMXTV8f4q/eKrNNUhLxWG3j8xrcv5MNWe6N2sw/WqnPCGrrTVxZqtqH5Aq/JcfCWDxbuVOiHlyjXXXBNt39tsFXZeeUrulZF9WeHdd999qe1duw1ddm5q47rrrmuJZTJPem/1nonxbLi77rqrodW1irfTro66mcxDVUNQFfkfxnXBBRckk9K45557GpLtdbowzqpbM4ZhdLuhq5V+i/j4/sb//M//1FkMcVjqn0m+SjbMllObV6ccqtIut0MWqqzVf6mDpQ+rlTFIWJ7NGLVjrBrG3Wvf62ZfZ/7rkn119WXK5q2u9JeNN89/lba8Dj1RWrpU/yST0979qoauOuq0ZEgduhHlWX1dycqqeiPJWN+nb2VskOTvOZWR4XXpOJJpSfvdjnZL8ZTV66SljWsQgEB5AkN6pA+PHuvrLH3sYx9zJ554YpTHf/u3f3Om3J6R39NOO81ZJyG6bmdRxN9neCxwQQe4m0Et8vnNb37TmeLW2daJzmZAujVr1jgbUMlg6nbccUf3mMc8xh166KHu1a9+ddOQ8w4ZPfvss51tDRiF8dGPftQ997nPjb7bAC46ONq2QHO2miqOwwx/8Xf/RenbZ599/M9CnytWrHDWqDs7o8t997vfLfSMPP3whz90f/M3fxP533nnnZ2dOxQdYh0GEHL867/+a2cdqvB2/N22P3Rf/OIXo/jNoBRf15dddtnFmVHN2SoRZ2e3uB122GHa/fDHFVdc4b7whS84O7/NWYcnKqP58+dHTF70ohdFZTQ0NBQ+MuO7KXfcqlWrnA5Vt/OUnDXWzhSZkT/FbWcvuTe96U1Rmc94OLhgCh13yimnROEoDOvsxHcVzr777hvlyZS6btmyZfG95BdTwrl//ud/dpdffnlU/iqr0dFRZ+emOTP2ODu3zimPzVxdfNPiKFLGNjMpKls7M88dd9xxUTBf/epX3Q9+8IPovdIB6HJz5851dp5bdCCv/CadWJx88snOtiV1ZriJbo+Pj8/gp3AUdpqzjr6zrfWcbRMY8TQFceRNZaB3WbLFtsFIe7Qt18y4EdUpBf6c5zzH2aCt5XhsNq0zw79bu3ats8FNXPcmJiaieid59drXvnZGPK3UfcX17//+787OQnSSWXKSjwsXLpwWj95l1ec0V8f7q3f1a1/7WlRPJAN8WkZGRtySJUvc2NjYjKjtXET32c9+dsZ1XbDzEt2//uu/RrJA75Hev+HhYfeIRzwiqi9mnHR2tmLqs/6il+2LFy92dlZhdNkMrE4HCJ9xxhmxfLGtLqfV27/8y790tmWss+1qnd6XZq7b5USztPt7T3va05wNVp0+v/3tbzszdDhb5RjJviuvvNKZgTGS/3/yJ3/invGMZ0RyQnU6z5kRw5lS151//vnOJj84yWY5laPee7UrOpBb9aOZszNAnZ0F4S6++GJng8PYq+qW+ggKR+3U05/+9EhGxx4SX5Q3/amdslWf0d1dd93VKV9vfOMb3f777594Iv2nr0N6b8wwFL3neufUltu5gM5Wtju1p/ot98pXvtKZ8Tk9sBJXJVv1jtm5AJF8UV9I5aD6q7iKsPR127ahdocffriTHNQ7eMkllzjlx/OV/HjSk57k7GzV0n2brCyJu+SjylHyUfVKTrLBzn91L3/5yyP5mKxbr3jFK6K+n8r7nHPOieRbVhz+ulgp7XIve9nLojrr7+mzjrrpWWbJCfVlfN9L/SzJ/zTXivz34YVx6bv6KOeee647/fTTnZ3dGL1/6oPZ2YPOthqPOOt9b+ZazV+zPorK50tf+pIz41acBMmBOXPmxL/15e/+7u8iuaF6L2fnJjo7vzb63uw/1Wv18dQOmYHJaZxSxbXSb7Ft5Jyt5Irknxkfne9vqW8d9h31rpUZA/h86F1VO6Y/tZGSab6/qzjU11U/9XGPe5x/pNKnrwd6n+x8saht1LhQYzPb0SNqm9UftLNbIxn893//927evHmZcVVtl8MA65CFvn+semJntTpTckbtjMpMskplr7Zqr732iuSr8qX3p4hTf0iMFJbaUPV39f5p/ChZ/b73va9pWGUY6T23HQpc0bGq+j8qN6VH8iGv/VV+1T74cb7k2Ac+8IEiGAr58XmV53AMXujhFE+tsk8JstZLZWTfkUcemRp31b6M9CE///nPozCl91B/JcuJ48qVK6M+jt4D1S/pOaqk3yZZOD+2VJxe55IVt677dj9PftfRlufpiZqlM+2edBA2uWGaHFE/wbbMj9o06RHs/KlIV6Hnpd/SOCXL1VGn69KNqCw1lve6EclJ79SvP+iggyKdT6gT87I21EWoH/jJT37SXXTRRf5xd9RRR7l//Md/jH/7tierj+XDbVWGV9VxlJVddbZbIcsqep0YMl8gAIFaCGDoqgXj7AaiDokUqVJEyNiTVEAoNWqg/QBeCqf/+q//qpxIKT+kSJPTwNZWRDg1ZH7wlhaw4lajm2WIyevAhAqCUBmhxtcb3dLiDa9J+aIOTBm3oqKhS3G85jWvceedd14UnRSSSQNByFGGwLROpfItxVgR+7PKVGWb5mT8+NCHPhQNdtPu69qBBx7oTjjhhMyOnDpOMjBKuZznpNCUgiTNafBm2ztGA9S0++E1KTazBmvqgOm+zZQLH5n2XeX3+c9/PrPc6+I7LdLgR5Ey9nVfilwpUmSIzjPo/Pmf/3lkOAmicv/yL/+SaSQJ/Um5oXc26WzP60jRKGV6Mydjlzq+CxYsaOatlntS6iqvcjIc27kZlcOVwlYKuDyjyH777RcZpMKIWq37MmT/9Kc/DYNM/S5Zrnc16ep4f6Vge+lLXxqXvQzCUghpcCZjsxS5SSc/4q8JFEmnQaLkvhSFWU7PS35JEapBeJrzsl3tlyZJSNF42GGHRWkK/Sdlijf8aKD2/e9/P/Q67XsvyIlpCc744fMrQ48MMnofZMDJclKcqq1Mm/Thn/nc5z4XhdWs7ZZfyQwZP2T0THNvf/vbI2NZ2r3wmhTkUsYtWrQovBx9lwLzgx/8YNSnmHHzwQtS+h199NFOBqA0o6x/ThNNVOfWrVvnL834VL3+1Kc+FSl+dbNVQ5eU9pIveX0r5V19oec///kz0uQv+LJ+3ete597ylrdEiiz14bKcjEtiJ+NdK+5Vr3pV03fJh606pb6NDIfeyeDt5bPahyzln/evTxnCpYSQS/bP6qqbnmWWnPDyR2kI+5b67V2r8t+HE8Yl5fWFF14YtdlZ/TvJTynaVOezXKv5a9ZH2WOPPQr1PVX31Df0/c+iYwwpgvWeyklBr75PWddqv0WyNGsiR5gWTViTMaSMU9qkhPaG6axnJddkxGnl/fX1QDzFX/GGys1k3Hof1EfXpJQ05+tq2XZZYdUpC33/WAZ9243EqS+V1n/1edhpp50i45Wvi/568lOKd71XmtSV5TRelUI3OXbz/sswkiwvM1aVvNe7L6cxkMY6ee7d73533H6qvS46KSQvXN33edX3LDmpe0VcHeyLxNOKnzKyz46OmBZVq30Z9cdliND7KwOn+rdpfSZFqjG7jKJyoQytkn4ZWTTBQk59cE2MzXOS+7bSJ5oEExpDwufqasu9LFDYksWSyVWc5LHGJd/5zncyH9f4VvnX+EF9G7lmhq466nRduhGNNcVKk1iaOU1w0+RK7zxfyQ3JD7VfmtikCYyh07gvnAzq256sPpYPt1UZXlXHUVR2taPdalWvE3LnOwQg0DoBDF2tM5zVENQxkUJLA+UnP/nJ8Yz4ZCKkjHzmM58ZGQVaHVSFA2MZvNS50WBIgwbNTtSsDikrNZNEHQW/CqlZ+nxDqHSndWCyGip1BDVzWk4DVnVK5LTSTMqf0GlFSjhDM7yX9b0VQ5c6EVIAyklZJeVc6EKOaYYuDcBkEJIiWgppDXRs+6qow6tyl0Hi0ksvjRREUlJr1ZjKNunCFX+adaU0qc5ISSUDqVa6aUajnGYxSvGUpZRWeqSoVEdIikKt4JLSSyuIxF6rUaQUklPnVivFQqfy0rNSukt5qgGClPtLly6NZvWqg6/OnmY/Kv9SBGk1QNJpVY46WmIj5ak6+FopoM69lL96/uSTT44eUzxabaA4QlcX3zDM5Pe8MpZ/X/f1Dul9Ujlq5ZZmTYmv8q9OtPIgg4MGUXJSzqg8vFOnVvzkpARXZ14dT5V/6PRe6F0MnQxsUjpK4a06JCWl5IWe18oRrd7TbFQZnuRUH1UGYttO99///d/RbGfFofdbyugqTu+HDCXKh5xWiEh5oU6o6oyMt3oXNKNb72KakraVuq+w9V5oFZWXCYo/GY9mjavsQ1fX++uV2Cp/rWDQykvN8JaTEVDGeL8yWEoiKav1zqTJguNs5aFWqMlpQCgFnSYRSGmmOi8Zrpmlfna8jKNpxjI9H8p2tSWaICAZIFmkwb7ktgwWy5cvdwcccIAeiVze4EqeekVOPJCj5v/7/OrdU11SG6DVPpKfqjN6b8VdymPJCjnVJ8n2LCWJ5KuMnypn1UcNRFWGaidldJRCS7Mb5SQLZNyQ8j10Klc/SUPyS++PVi+pfdF7pZVVkml6VsYdr5QJw5Dc0axQtWdyyqvku95PrfZQvmQc0oozOdU31cE0p9Unkn/eeKeBuuJVWJoUoclAUpjqndQ1KWnUjrRi6JJ80SoKrcqRUx9I4UlpJFmjOJQ3xau45JrJM1/WKlf13fRO6V3QhCG1CVLmioXKWqtE5TTBSQY+1Y+qTmUjxZm4SCmrMld9kKJDvCQTtIpTLjnxQG2U0i3uaZMFkmlSHZbMUPkqnqSxuo66qTg9y7Q4dD+UP80UuK3If8UjF8alla7qI0uRqX6Q3hn1pdRGSKGm98qvplOboZUqaa7V/DXro6ivp7GFZr1LnsvpvUtOGFO6NUtc/T09ozZGKxJ0rZlTHVKdlZOc0qqcMq6Ofov6TF4hKAWhl0/qU/qdI5Qm9c/yVicn067+rmSqnOSD2i+9Typz9d/FVTJB8kP9WMnaqu+vrwd6d5UnvV+qs2rLtTJB76XqlSb6+H6Q2m61FZJRSRfW1TLtct2y0PePlVaxUVug/qtWgCpfkoVa2aW6oD85tYWacBCWX5g/ySqtOPRjU4Ul2Sp5q7GJ6q4mQfj3T2OktBWKZRipHpQZq6q8VN+kfJXMD1dVhnnx3yVH9V6q3DXO03gsre/m/Zf9DPPaTE7mhVsX+7x4Wr1fVvb5+FRudfRlwkkAqptinnR6F3RPfQrpXrRq1PfPqqS/XYauutpyLwvEQXmvaujy7ZTC0Sp16a4kUyRj1FeTgUdyWU4rYBWXXJahq446XZduRPob5cdPntH4QGN55UN1U/1xyXxNFlCfK5QRnq/6Sl5/o3RJ9qlvv8ImDiuvMo5JJnnn256sPpYPt1UZXlXHUUR2tavdalWv4xnzCQEI1ETAhCOuhwhYxz7eU95mWTRNufactw5w/GezJyudf6GzncJwrAPfsA58atw2aG/YlmOxf1M8pvqzQWXsxwYfM/yE+0xrH/00ZwrSOAxTzKR5KX3NBlZRmLbkuvSzNliK02NKuxnPhxxtu5EZ9z/84Q9Hz5sSITrrZIaH4IINboJfD30Vfz2v8rLOXeq5Htb5adhMwDitYp3lTAEd7fWcdd8UN3E4NrCf4c06VvH9rHL0D2XlSWXr65QZ7KJ9o/0z4acNFOK4VL+Srg6+yTCTv/PKWP7Duq9yUlmYMSsZVPTbFA5xnkyZmOpHF63DGfkzA0OmH39DcZmRMPJvyrZG1jtqA+lp9cSUnj6Itnza4K1hSpooXaaAaOnsElN6xNz0HpgCvnSaW637itAUTHE6TNGdm4a63l/bbjSO12bfZ8Zrs8Ejf5IZqrtpzgaCsUwxxV3DFN9p3iLGNis0jtcGV6n+Qtnu32sznDRU/s2cP7NKdSTN9ZKcSEt/8prPr2SEGWcbNpkj6SX6bQO2hq0OiLnbjPRUf7oo2a+60Yy1KaPjsEwpPSMsm/AQ3TdjUtOzqJQunZWV5pQX36dQ/ZTfpFN7YMbqyJ/qZ1a98+mxCQINU1Amg4l+m/Kw8eY3vzmOU3GrP1TVmfI4Dkv9EFMOpAZlyqeGKaQiv5LRaX0dPRiWtdLWrE22Wa5x3G9729tS4y16UeeI2GSGTO8qPzNAR/GJrziGzrYxiu9lyQ/vP5TJtuWlvxx/1lE3FZhnmSUnQvnTrE9Sh/wP41K5mqG6YZMB4jyHXxSfKd8inqbQzzxHstX8Femj2KSGuI41O6PLJsPE/mziRJidGd/NoNAwJWPkXxzKunb0W1T+Xg5pvFSHU58tSx4ofFMoxnHalnCVo/T1QOlX+5BVl81407DJCHGcWePGsK6WaZfrloXJ/rEZWjPbK9U5X35qK7KcreaI/dmqjlRvts1kQ/1OhWeK4tSzf6syKjpWDc8HUtvRzIV1t0jfsllYaffCvGbVrbTnktfqYp8Mt12/i8o+H3+dfRmbIBvX02R/T/LPDLnRfTM6ROd2+jSEn2XSr/6If3/MWBIGk/nddoKJnmk2Hq2rLQ9lQVbfKTOhD94IdRA2eShTB2aTHhoaD3se+lSblebqqNNhuvLeryzdiOqEykFpNaNUQ7K4jPN81d+QXk+fZjzNDcK3PVl9LB+uZ1mHDC+j4ygiu9rdbtWh18ktCDxAAAK5BDQLANdDBDRI8Y2HrWJpmnJ1NtQB9v71abMLG1JuqlEv6sKBscKwlTNNHw2V81JCpbmwIUzrwBRpqIoOHtLiz7rWiqFLnSLPWgrhpAs5phm6vILRtotKPlr4t1fmKR8auGU5WzERd+qkiGum+MwKw1+XIUH5tpml/lL8GQ7qpcSv4sIOic3UaRqEzWiN0iKlnM1In+a3Dr7TAkz5kVfGeiSs+1IiShHRzNkqoLheZSmOy3QCbeZ4HF6eckoyRHVZ5Wuzrxs2w6pZUlu6FypCpbiv6mxlW6xc1oDQZi1WDSr3uWZ1Xw+XNXTV9f7a6r+4jG0mX2Y+1A54mSWZm+ZspUrsJ0/5YrPWY6OYBpVpBoxQtivuogaHvMFVL8mJNM7Jaz6/YmSr85K3p/0WZz/gVZ23ve2n3S/zw1ZaxOVtqzpmPCo5oDRJjlVxMqD7tNqZRZlGfoVtM4PjtNgK1BnRhcoC27prxv3wgto8W3kVh1e03oVh6LtksM2kj8KxWbOZxjz/nG1ZF8dpW1L5y9M+y5S1jE2KV2VQZULOtIgL/LDtCeP0Jyc4SSmidOjPVoY1Dc3LShkts4w9TQOwm3l1U897lllKmFD+5CmY8tLj85TW99GzYVxi1MyoKP+2fVDMU8b/NNdq/or0UYoqS231YVwXZRxQfyHLhWHaFuhZ3jKvt6PfEhoL6jJ0ZWbgwRti5iej2fZ2ed4z7/t6oHqVJhvDB2V480pcycC09iFZV4vIx3bIwrB/LOWr2otmzrY2jN8ZtQdJp/6PN7DaSoPk7Wm/bXVfHFbaOLcKI0VQdKxq56vF8UuZ3syFYdquFs28VroX5rWqnKyTfaVMVHgolFPNjPwKus6+jMKTQcP3jTSmC8dboe7Hdr6Q91RXJv3tMnSlJixxsUhbHsqCND1RIsjUn34ilOSkrcBP9eMvauKB/Pm/NENXXXW6Dt2IJgz5tNpOID4bhT9DvgqniJFLgfu2J6uPFYZbhwxXnGV0HHmyq93tVl16HeUbBwEItEYAQ1dr/Gb9ac268Q1bUumQlRhb2tyQ8cQ/5z9tiXM0ENeskGYuHBhrsKSBWp4LOxdpBpewIUzrwOQ1VIo/7Oh3w4oupcnPCNRANmk8CjmmGbo0E9+XjYyFZZ1mZ8vAozBsa5zcx20rszi+qkYoRRLOQrRt76bFa1uzxHFoJnoVZ1sfRmHIINdMkaKwQ2OJlEaha5VvGFbW97wy1nNh3S/CRB1YXy9kOElzZTqBfjWX6mqyvNLCDmdtS+nZDidutmVdlE8pv2WsqurC9LZiMCsSf7O6r+fLGLrqfH/9zFDN9G6mKJJhytettJnetiVSfN+2ZymCpGHbbsXPaDCbdKFsl4I4Tf4nn9HvvMFVL8mJtPwlr/n8qny0CivP2dmEMXfJwaourBN2zuOMYGzrnCgeyeMqBovQOGLnvs0IP3nBr4hKmwBiWxrGec5TSilcKW99fS+iyE2mRb9D+VJklav6ATICKF71C9L6T2FZF2n7/cpJyf12uzC/2lEgdOo7eqOb5HaWC9tFrS6p6vLqpsL1LLOUMKH8qarA9enPk/9hXCqzPKe64dtB1fs012r+wrJI64cqzjLKUskI/07ZFlBpSY6u+dWZMrRkzVDPfNhutKPf0glDl/Jo20JFzDQZpKrz9UDsbZvU3GBkOPXllNY+hHW1aLscyoa6ZGHYP7azcnLzFU52sO3eZ/gPZX6zST96UKuGPSOlI+mqMFIYZcaqqhNKg/rnWf1gTd7a0yYzyp+M7e1wYV6rysk62bcjj2lhlpF9dfZlfFq0M4w3zB5xxBHRmFd9AvXlVd7q8zRzZdLfSUNXkbY8lAVFxwkhG0129e9zkd1ObJu+mL2eSzN01VWn69CN+HZEE9jT0hqySPse8rWtq9O8pF7zbU9WHysMtw4ZrkSU0XHkya52t1t16XVS4XMRAhAoRQBDVylcnfds52vEDbcUo0WdDEFaCq/thnzD7z81O/n888/PDCocGBedQRxuKaEGPenChjCtA5PXUCm8MoOHZPxZv/3goWg+w3BkhPEzxmVwKmvoUmfWG6rUcdFs+jSlWBhn+D1cnaHObp4LV/ulzYTMe97fD2dBhTPQdF8zSb0iTPXNzi0r1SFTvfWdfpV3npOy09fr5IzoVvnmxa374buSpUQK676dY5MbrGaW+jxlbTNYtBMoo4cfMGmFWxEnpZSPP2+QVSS8pB+F71eN6f2z8xeSXkr9lsLFpzdvBVKpgFM8N6v78l7G0FXn+xvWsWbGzHAgmDYgsbOWYpaagVjEqU57/rbv/YxHQtmudBZ1zQZXvSYniuTZ51cstRopz9l5AjH3ZtsX5oUj44Uvv7RZ5WHbrjSWbTvsXMc4/CzDfZhGKSiUHrWNydWvaqd1T+1u3iQIhRkOcKsausJ2U1v3FnEyuHumaROUwrIuYgTQCg4fXpYytEi6ivjR9pU+ruR2Snr+fe97X3w/i0e43WLeTgTN0pRXN/WsZ5mlhAnlT1UFrk9jnvwP42q2hawPT59+Ba3qe3KrSN1vNX9F+ihllKV2Bl5c/lnyXJPdfB3SJIyyrl39lk4ZurTNt3hIUVnV+XqgcLJW+odhh1urp7UPYV3NKscwPH1vhywM+y52hmoyyhm/Jff9uE2TMJJOClwxkvEur42QfPFjsLTdSKowUnrKjFU1+cO/K4ovzYUT+pqt7kl7tui1MK9V5WSd7Iumu1V/ZWRfnX2ZMN3hykLtzuCN/Fodk7dDRZn0d9LQVaQtD2VBmp4oZJb2XfLDv0tFxy+etZ5LMx7VVafr0I34sbydOZiW/dxrId8sWZMWiG97svpYYbh1yHCloaiOQ37zZFe726269DrKCw4CEGiNwJAer+m4L4KZBQI6JNKUQ1FMtgonOjC5bLQ6ENs6x+60005z1tmIH7cVPs6U8/Fv/yU8vNoUS/Eh1f5+2qcplJydHxHdskYlOqg99OcPq9S1tENGixwmqcPrTWkSBWuD9/hQ1jCest91+KYpTZ0tPY4POi4ahg7OtA5A5F0HJtuZC9MeDTnarGZnhphp9/XDViG5d73rXTJAR/d22WUXZ8ZNZ2dh5B7crWf9AeY6jHTp0qUzwg8v6JB5W8ofXbLVHE48s5x1+KLDTHXotf7szKPo0GTVH+VTdVHOZpa65cuXR9/9f4rDZqZFhybr2sTERHRQ98tf/vLowFPvL+1T5aq8yNkMR2ezndO8xddMqR8d8K0LNoPYfelLX4rv6UsrfKcFlPGjSBmHdV/1184dywjtgcu2JZszpWz0w4xezozVM/ybMTHia6seogOKZ3h48IIpnKID0vXTtkR0ZhTK8jrtunUynXXMowNuzdg27V4rP3T4t+q2GaSiA8Vt+yv3kpe8pJUgnW3N6nSws1xafSwbeCt1X++GLy/r/MflmJaGOt9fM1o5W30XRWNKkeiA+rQ4bbsmZyuwoluqZ8nD3PWsGaej+yeeeGJ06HZaOOE1tU/+IHfJFMmW0IWy3ZTkUXmF97O+NzsAudfkRFYew+s+v+Pj4+66664Lb6V+l0zWAdtyZhxyttVXqj9dtK0OI7mtg6ptZm30p4PJJc9Nue78Oy4ZbcqcaeGYstDZShanNt4729s/kid6d/MODNd7oL6HnNI5MjLig0n9tAkK0YHYuql0SdZ599jHPtYp3TYxJDpw21/P+jTDrVOe5Myg4NQ3Kets1YA788wzo8dsq6ncdlYeTfnk7JyC6Bm1SWqbQufLeocddnBmOAhvpX5XX81mk0f35F/PteLMWBbVB9UFte/qy5jy3NlEm+i7+oxykium6JkWlW3H50wpHF3L6tfYmT/OttdyixcvjmTy6OjotDDCH63UTYXjWarNMiNsGHT0PZQ/X/ziF50px2f4CS+0Iv/DuIrKOvX/1D+Xs4k70w6B17VW81ekj6I6asZZRRf1mWy1bPQ96z9b7evMkOLmzp3rVFd0CH3o1M8wA3l0SW2ODrcv49rVb7HdLpwZjaOkqO9h2+CVSVZTv6rv6hfrfdJ7Zatfo/dJMtYmtUT9NTPQRN+bBpRx09eDHXfc0ZnxPMPXQ5eVDtsWLbqQ1j5UqavtkIVh/9iUpM4MVA9lIuObKaed2jLJF5vwMc2X+sS2UiNql+x8oWn30n7YGV7OJim6tDFcFUaKo8xYVf1sM2g49Y1Vxr4vG6bVv2/z5s2L3rdW5X8Ytv8e5rWInPTPhZ91sg/Dbef3MrKvzr5MmCfVP9uG31122WXx5aGhIacyyZOdZdKvvpP6UHK24th94QtfiOPL+qIxgp3b62wCqlPfrJlrtS0PZUGanqhZ3LpnZ7Y62y468lZ0/GLnR0Z9FD0kWSKZEro663QruhGNCWwVfZS0tH56mOas7yFfyT3JnSLOtz1Zfaww3DpkuNJUVMchv3myq93tVl16HeUFBwEItEigNTsZT882AWtkoxkqOjSyVacVYeH2dZrBkjYTIZwBqhU5RdxPfvKTeCZN2uzBcMZH2kydvBkZSkOZWXJF0iw/fmZglRVd4Z7Tadv4hByzVvsoDVoBp5kyfiaSPjXLUCtwtIVV1qzEcIu78Nki39PO11A8mq1/1FFHxauq8sJKruhSfuS0ZYjOUEk+r+0zTcGfuXJN+U0+U/S3Vj+muap808JKXitSxmHdL7IqM5y9mbXysuhsp3CGW5Hl9T5/vj7q/J+s+uf9Fv3UasVwhaoNSoo+2tSf31pNKwGTqyqbPhjcrKvul1nRVef7qy04/DkgNjBOnZlohpGGGUai90tbq6WtDDn++OPj908rIou4cJZo2qrBULabwaBIkJGfZrMIe01OFMm0z68NKot4j+q6n+GZNrNdgUje6L33/Yg8WZq2okvh6EwwU6g0tBd9GIbO7zJF/YzzEfWMd37bvfC5ot8vvvhiH0y0isE/p1m2RZxWU/lnqq7o8qvI9H6JQxEXrhxJm1nsy9oMQkWCa2iLLp8PzQyu6iSfxMFvuezDzPpMW9GluH37YEqzhlZXhk6rvHx4kidZrq666VlmzTYO5U/WSoW65H8YlylfsrI+7Xo4mz9tN4RW81ekj1JmVYASr3rhy1hnJSadnyWv82eq9B/a1W8J38s6zujSilOtsPHbNHomWZ91rOjSavgiTu9ls/YhrKtF2+V2yMKwf1x0a1xtqyzGyVWQ6mP6FVpZZZB1Xf3HpKvCSGGUHauq3fXp0naKoTNDdZwnsWqXC/OaJSebxV03+2Zx1XmvjOyrqy+Tln4zkkfnIvt6oFXhRVyZ9Id9dR2LUcSZsTiqm5LlWa6utjyUBWl6oqz4/fVw/KIdM4o4nZvomSdXdLWjTlfVjahv4NOplYVVXMi3qKxVPHl9kCrhZslwn6+iOg75z5Nd7W636tLr+LzzCQEIVCfAiq4WDYWz/bhWt9hANVrJpdmCdTjN/NdMXTnNzDalYfTd/xfOANXKnE9/+tP+VuanZiz62ZF2XpSzbVum+Q1nfKTN1MmbkaHAysySmxZ5kx+trOj6yle+4jRrV04z2/0MVh9dyDFr5rP3a6+0u/DCC53CNONjNMPQ39PsaIWdXLGlmUuawSRn+7bPmInkn0/7NCByh5sAAEAASURBVKWQS87a1eo+rSDyzs6MiGb8WOfKLVu2zGkmqWYUagaZX1mXt4JGM8G0SkSrATRz0TszMDrNuErOKApn3Go2qlbaFXW2ndWMlYT+2Sp8/bPNPouUcV7dT4Zf54qukKdWiVmHNBld6m+tStLqJK0u0UrA4eHhVH9FL2rVpA3+49V3RWe7FwnfjKfOtuSLVg5qVnUVV1fdL7Oiq+73Vys+tKrWtn2KVnxIHku+q+5rhrxm1mslx9jYWLRCJe3dCjkoPM1mzHO29Vq86kYyRSvVQldEtof+/fdmswjDet0LcsLnqdmnz68ZVJydfdPMa3RPs2fVfpki2dl2xO6cc86Z9ozKXDPBTWEQXdeqC70rCt+UgU6rh+fPnx+tOlD7JJc3U1SrEzQTVO1UcvaxKQzc+9///khmRIE9+J9/P7Wqx8cT3m/2XTJD6ZULZyNrlrHkZJ4LVzVUXdGltlKrqPTeaFatZlrnObWPfsV0mtz1ZZ01QzYZfh0rulRuCkf1Rc6U4NFqX9UFrcrWyjyt0NFqW7+qL21Fl5415Vq8Yk19Br+KVffU97MtTPU1kvd2zmv0PfyvzrqZx7KI/AnlntJZte8TxqU+W5HVyp/61KfiPrbeK70voWs1f0X6KGVWBShtkgPqu9kWq9Gn6pZ36hNqlrycVg/7XQf8/SKfoXxPe3+ywsjrt4ThtrqiS22pxkd+9aPkm9o/7USgPrP665Kv6jOr3yVZpH6vxkpVnK8HRdsHrRLRytes9iGsq0VX8LRDFob9Y60SlDzKc1pl6leXmOI4YqxnwjZCK1BMwZkXVHxffVw7fy7+rS9VGOm5smNVrSTxK021Q4EfVyqscLW+xlF+xwvdq9NVzatPQ93sfbjt/iwj++rqy6TlSauRX/WqV8W3tJLLFPi5Y68y6Q/LqOiKLsk0jQGzVnTV2ZaHsiBNTxTDyfgSjqnMWOue+MQnZvh86LLaKI2N5JIrukJedciTh2J10Sq5qrqRquPnqnx925PVXw3DbVWGe0Z1ruhqd7tVpK4W0ev4vPMJAQi0QKC6jYwnO0FA+4b7WRytzOQN064ZlpqJq3A1+y05sz+cAWrbnYWPZn63DniczrSVGuGMj7SZOnkzMhRx2VlymYkNbtjAM0q3ZnyUdTo41pdN2r7pIUdTpBQOXquktNrDFERx+Dqo3Dpd08KwDm58v8oMvDAwG0zFYVlnvmEGqvD2tO/vfve7Y79ZK7qmPWA/dKaAKcTiQ7nFzQbsjeSqETMUxGGb0jQZTC2/i/ItElmRMs6r+8l46lzRpRURvo5qJn9Rp/MN9Jxm87XqdN6GDeDidFSdjZaVDq1A9Hm86667srxlXq+z7pdZ0VXn++szp3M5vGz3TMJP2zaykXZmkH9eKz29fx28XcSFq2ZsADbjkSKyfcZDdqHZLMJekxNp+Ute8/nVKqkiTiv0fFklz9LTe+BX76mNty1qUs//UTyajejDyVrRlZYe28KuIdnmVw0oDNWvpDOlXxz+3Xffnbxd6rdWtisetVFFnCku4rjLyL8w7HAVanLGb+gv/K7zNj1TMwKEt6LvvqxtAD7jXtqFVld0aXaz2lulSf0KzQ5WPzDNnX766XHas1Z0aTawD0/nh3mnVSR+1V/amTfyV3fdzGOZJ3/qlP9hXDaRx2Np+qkVkb6u6AzFpGs1f0X6KGVWBfj0acWBT7dmqXunNkDXJXe0SqGKa1e/pc4VXTYpIM6/GScazWbIa+WmmNSxoqto+2CGtTh9yfZBZRLW1aLjh3bIwrB/bFvDFqoufsWg+jpJZwrSKN82GSJ5q/TvKowUSZWxqhlpo3Sbcn7aymG/okZ5zpLZpTOW8kDVvIZB1ck+DLed38vIvjr7MmGe1K/w7aY/91vyIm01ePicvpdJf5UVXV4Pkbaiq+62PJQFaXqiZN6Tv9XP9W2STfxK3k797c/I1HNp/bt21+miuhGdZe3zljbOSs1c4mJVvnl9kDDcOmS4kl3niq52t1tF6moRvU6iuPgJAQhUIKDZ3bgeIqCtoHzjpgFrXS7ssCUVn+HA+KCDDioUpc1ejdOp7e+SLmwI0xqFIp3sKoOHZDqSv6saukJlkDqmaQq8kGMZQ5dPoxSQYfkntzIIl7KnbUXowynyqQG46pm2qkvr7IVhhB3DooYu/7zNBG6EB7rb2T7+VvSpw9ilIFFa1Dlpp8vjWyTuImWcV/eT8RTpEBXtBIbpU7kVcdqOx8scGZFacTJyrQy2sJScqNuFCjfbA7108HXW/TKGrjrfX59pWwkUHcIumaQtsWQwlyJXyvaknPfPhJ+hHLYzn8Jbmd8l7319sZnhM/yFYRZVqCmQZoOrXpMTM6CkXPD5FUs7ezDFx/RLoRHnwx/+8LSb4cQTOzNt2r3kjzCcMoYuH47eOf8OKe3J7ZC1lbGvH+FWhP75Mp9SXiosO7ux0GO2siqOu6qhK5TfYlXEqTx8nqWgSDpf1rNl6LIz1uL02LlnyeRM+6333qc9y9ClB3x/TIp3KWvkQllwyimnRNeS/9VdN/NY5skfX3fr6PuEcdnqkGTWU3+H/ankpDM90Gr+wj5AVj+0jLLUZ0KToXw9UVsjJ0Onn2hRdHtRH174Gaa5zn5LXYYuO4Mrzru2jc3bMtkb6FXXqjpfD8S8SPtgKzPjNCbbB6UhrKtF2+V2yMIwzO9+97u5eGTs8eO2NGO638pafvLKJS+yKowUppeNKiu9E0WcreaMy8t294geCfuTdU8QS6apal7DcOpkH4bbzu9lZF+dfRmfJ9VnP87XpCFNSvGTaDWZRBOKmrky6ddkWS+zwwkqWeGrXff+0wxddbfloSxI0xNlpdNfD+W7rSr3l5t+egOz8pmm+5itOp2nG7GdM+Ky0Ji6iqvK17c9Wf3VMNw6ZLjyVlTHIb95sitMX119+DDMInW1iF5HecFBAAKtEcDQ1Rq/WX86FKZFZ0oUSaRfYSGjghrQ0IWDTA3QvBIj9JP8bocdx42wbfOTvB3N/PYdprRGIa+hUoDh4EGdgjqcHzCVWdElXlph5fOTNED5dIUcsxQM3m/Wp4wOj3vc46K4koO6MHzbpiwriNzr6tz5vBRRTnjFkJ4pa+jyifEde9W/pHLHd6o0kypZN/3zdX0241skjrAMsso4fIfT6n4yniIdIt8JfOELX5h8fMZvndmkstIqrSTrGZ7tghTVvj4cd9xxaV4KXdMAP1xtVWR2YqGAE560gtSnt+gseh9E3XU/VEzIoNvMhXWnlffXx6GzcSTPdNaEbaXgL5f61PvsDc2asV7ESf55/mlnyhWR7WnxeDmQNbjy93tBTqTlL3nN50cspezIc6FBQqtlQyejji+TvLBCZUUVQ5fiDc9l+shHPhImZdogtMw5gdMCefBHaBRInmWS5j+c4VvV0PWtb30rZimjcRGnCRyef9pKfF/WWXU7GUerK7ps+6EoPbbVZUOTD5q50CjWzNAVthOa+CPn2zrbMi1TGV933cxj2Uz+1C3/w7iK9KV0BoiMtqor6ueluVbyp/DCdiarjxIqS3/4wx+mJSP1mj9nQ30MOT3r632rZ2C1o98SKkJbSZ9WO/t82taTqWz8xdAoVpehK0+mK+6Pf/zjcRqT7YPuh3W1qKGrHbLQywzxzGOpdK9evTrOV5qyPgwvuWOEni/jqjBS+FXGqhrryNguDlrlKecnBapPpve4na5qXsM01ck+DLed38vIvpBRq30Zn6dwZwdvkFY/3I/xdP53s3FbmfTrjFGNEVTH7LgDn4TMTxnZvJxLM3TV3ZaH9afIWDmZ8HDS1pvf/Obk7Rm/NUb1nJXPNENXmKZW5cmMBKRcaKYb8ZNI1GeQ7qKsC/NShm9eHyQMtw4Zrnz5cimi4wjfy7S2rN3tVhGWRfQ6ZcsT/xCAwEwCGLpmMunqK5/97GfjjkbaloBVEq9Ok28w1YlKunBgrMY/L95QyaUZ12kHtocNYVqjkNdQKY3hlnlFBnrJfKX99p2+ooYuKbLDA2lt7+LU1VyKK+SYpWBIS1Pymhp6lUNydZ1mgoUGxrSVdMmw0n5fd911cR2zM1TSvMTXNNPQd3z1WdXQ5QdwCsPOeYjD15dwgO47/tM81Pwji2+RaIqUcV7dT8ZTpEOk91bsNJs+r8Mb8kxbcZOM39dvzS5Ufa/iNIBQXfJ1pUi8VeLRM3YGSUMKXMUlA3QZI3jddT/cBi5P0VnX++u5eYOTZEIrLpQpaatRwrA1Q9QrZ7RVnlZaJV0R2Z58Rr/zBldhve52OZGWv+Q1n1/V47StpkL/qjt+woHaMClTQ6ettPy718zoqXBUT73fqoau8NDu5EoWbenlB612fk20VWKY1jLfQ9mYt7Wt+iFeWa78VTV0yVAlw43CsLPQGsprM2dnnsY8s8rRl/VsGbrsPKUoTdqGqJnTVkS+b6j8NjN0ScaLh/xphwDJXb/NkQxzWa7uupnHspn8qVv+h3GJS94q2tDI/N73vjcVWSv5U4BF+ijf/va34zpbZuXIaaedFj+nvoKdxxX91gS5ZsrZ1IwmLobyvUj/oUi/pS5D19e+9rU433lpE0/VBf3VZejKkiseodphb0BNax/kL6yracpBH1b42Q5ZGPaP1X+TXGnmvCJYPM8888wZXkP5q8mBauOquiqMFFfVsap/f1R2ar/sPK6o3uT1JavmL3yual7DMOpkH4bbzu9lZF+dfRnlSe2DH7tofB9OQgmV86oXWa5M+hWG30ZVWyXmrXgM3800Q1fdbXkYX5qeKIuBvy7ZIZ2MZINWw2k81syF7a+eSTN0zXadbqYbCeWKDKRlXVW+eX2QMNw6ZLjyVUbHkSe72t1uFamr4dglbUJo2bLEPwQgkE4AQ1c6l669agc7x4OkN7zhDZnplOEnaTBI86yOQDjb7FibjZ904cBYjb86OFImpzlt2ScjkfzpL+08Cj0XNoRpjUJeQ6UwtCLEx5OWbvkp64oauqTQ1b7IWi3h0yAFbzNFcMgxzdCVxTTMgzpqMmYozrTOrpSYPk0qp2bp8eEmO3MaUIWKvLQZ6HpWSjCvXPUMkoYunRsTdtZ9nOGn6qAGoApDA7mkk+HmKU95SnRf5VPkrKBknhRmHXyTaUv+zitj+c+r+8kwi3SIwsG+tudq5sTGn7mlwU2zpfvhKpGqSu9Qxmgmap6hvFnai97T9my+Ttrhwrl10IdbZ933Yfo99vVepsk670+fdby/Pjxfz/Qup62q9f7yPsMZ09q2I+vsESnTpHDz3LOU4kVke1qa8gZX3SQntM2q0qu/vPcxLa+65vMrnqo7P/7xj7O8NsKz1NL26w/PHWq2klJKWl9++kx754vI0XB1j5TfSReeWfWyl70ss07556SASdsOOFRkqP3VmXRZLpzprLxVNXQp/FDpLmWD0pHmbrzxxuhcQ8WntivrjCJf1rNl6ArPE9LEpDSnPIXvs/KQ9U77548//vio/qgsdCaGntGflENZrs66qTjyWDaTP3XL/zAucVA7nTURRe+V709J2ZnsS3l+reRPYRTpo4ST1bSVU1Eno6/vW2g1td99QG1wq64d/Za6DF3huExlnOW0C4c/y071oS5DV7P2QbIzXJWZ1j4ovWFdLWro0nN1y0Lfb/Gyo9mKAKXZrziX7MwyYr3uda+LZZH6hlnyWvmR064laYbZqoyqjlXDFSlf//rX4zxIId/MaTtayQn9VTWKFcmr2tQDDjig8ba3vS2zb1sXe01C0GS5gw8+ONWgKR6f+MQn4nzn7aCQxa+s7KurLyPZ6bdilvxPmxRx9NFHx3Xg7LPPTs1C2fSHu2yknS3uI9HqpVB2pRm66m7LQ1mQN3by6Ux+fvWrX42ZacVnlj5C4xpv9POyJ02PoPDrqNN16EaUPr8NrtpabU9bxlXlm9cHCcMVyzpkeBkdRxHZ1c52q0hdzdPrSB5ospPqpN8KukzZ4hcCEHiAAIauHqsJ6qB7xakOqc1ymoWvTslLXvKShlaBaZaPzmtRZ1EdqB/aliI6H0dh+EZdK1nSVj+EA2N/oL1mZEtQ67BspUmdBO3F62ddKEwdEJ818AgbwrRGoUhDFXboNLjWCiY/I0l71hcx9CX5SRmltGsWkDpI/k8KQA0QX/GKV0SD07DDJ/8yFkqp1cyFHNMMXVI+aca5yuWyyy6bpvzTNhbaDsjz1eqaLMWnwvZlqnRqYCc2Sp/KScavCy64oKEtpRSf8pR04Zlt2tJAAyuVk/hKWfeftj2cP5TVb1ejOJPKGXV8NRtRaVJ6lQZfRmrItSJM8fv0Zs0eDhUS8quOpoyoUuDL6KhPKeQ///nPRyvs0g7orotvklX4O6+M5Tev7ofh6Xteh0h+QoOUFFOhYUNlkhzYh7MDNagSN9ULDQLE8yc/+UlDhnRfLpqZnzcbTulIc9oywoejQfEnP/nJwn86p6CK0/vvZzArbsk21WHJK9VjyUDJK20Jo7oeurrqvg8z3F5NLLzCXkrVNJlRx/uruCXjJSc8e8l6bVmmMtCfFENHHnlkNNtYSuksWa2wxMmHozZAxotrr702mmWs1UMy5oR72zebOV1EtivOpMsbXMl/N8gJvWu+HRGzIoahZF712+dXvKXIVFlKeaN2T4o4GRY1sJUxypeNjJpJGayw9G4rDPmTbNQgT+GozNW2KBw/kFS98LI9zdAleSGZr7ZRhlm/nazCuvXWWxtqK/3gW4b0NGWB2gDNWPbp1qqhk046KdqiUf5Vp9QGaoa+lLS6r35MmgtXUyhtCkfvud4vvWs6B8zLMimWfdm0YuiSnBQnn37xUBsrGam8Sf5KaRTKoGarDH1ZK8wirtWtC8PtkaSwUpl5I5zyoPdZMkL5C9v3PEOXuHsmfntETVJRWWS5Ouum4shjmSd/6pT/YVx+ZvmBBx4Y8ZVc0DujT/XPw+2v0/qHnl+r+SvSR5GSX++uL0vVD786V2OEZn2BY22ynJ7zRi5919ijDld3vyVsL1rZulDGSz82Un7Vx5M8ECv1c9XfEBf1x9WX8rKvDkOX6k1a+6AyVP/ab0uvdGW1DyqbsK6WMXTVLQt9/1hp9fJTBg7lRZPr1L7qHEiNX5Qn/9cszTfddFM8bpZ/8T/11FOjNlD93etsXKzJoWpLpPhX3Gp/kq4qo1bGqn7bW/8+aRV0mhEuTKu20fNcjjnmmPBW4e95eVW7H46Ds/rqdbFX++nzpDqf1l/Vlt/ej8q3iisr++rqy4T9fvVh0pzqqtfZSOeh/lbSlU2/Jgd5Y7HqvfQPapPUZquMVXfFXv1P1T2/GjzN0FV3W+5lgco0TU+UzHvab8mLpz/96XG9UH9GugLph3Tvt7/9bST7/Pvl+y2KM63vqjjqqNN16UbCd119W42vf/SjH0W6Ho0v1bdXfVK+kzqjqnzz+iA+3DpleBkdR57sUhm2q90qWlfz9DrqP3hZpk/VUxwEIFCeAIau8sw6/oRmQHsBqAOg01y43ZT32+xTiuCswWs4MJaCRErxUIEadnZ9HC9+8Yszw1N6fUMo/2kdmCINlcJ505veFLNQWGpY/dZZWavJ9FyW80own4+8T61AUoNUxIUc0xQZ4SxrH6/y4ldw+Wv6lOIhy6njLaWglH7hM1nf0wxdqgt+kOmf02A6yUcdqHAQl1SyhjO8fDh+sO9/+08pmNIGLz6fWiUQKoP8c2mfynvS1cU3GW74O6+M5Tev7ofh6Xteh0h+pFAJO/NiokGJrwNSECSdDD/+vmeY9i6/4AUvaPzud79LPl74dzJdPq4in4q7qtOZPX6lYLO4tMVR6Oqq+z5MKb2TXDVRQO+TlJ5JV8f7qzA1UD32QaVjs/z7e5pNmmZ4U1hK0wc+8IEZ8iSZL4X1lre8JTZ+6NmkKyrbk8/lDa68/07LCSk1PVPNPq7qfH7V5mrg6o1PCluKCW+48nHJoNDs3M5wBqN/xk+a8b81kUL13xu90gxdyTZAz0p5m6wLWcpCz0OKBtUVH3feZ5ahS+Hp7K1k/Mnfes9l+NI7p7haMXQpToUVGoF8+pPxipdm9Dcz9viyni1Dl9KSlvZkfdCEEikEvOEyz9AlLkmZq1n2ea6uuql48ljmyZ865b+PS30pKSC9wTWrrui6tuCUAi7LtZq/In0UxR32O5QuyRu1W5I9WauC9JwUMj5/+pQxp1m/Ts+UcXX2W+oydCn9WrXoFcY+/5KB4VhJ/XmtjNAYyrMpk/fQr68H6jfX0T74uqp0NTMahWnw3+uUhb5/rPZOCvdwQoHSlpSvYqzVTnlO/bCkbPLllPZZp6FLaas6Vk2+h5r4kefCFSdVt8XKqw9hP0f81NfMcnWwD1cX651Km8jqV5OqjsgoVNUlmefJvlb7MlqB5+ugjHXN5OUPfvCDaX7T+hVl06++kI/ffybfMxm4wu1o0wxd4l1nW+5lgdKUpicqWr5q89QX93nzn2Ee9V3GUemN/P0sQ5fibbVO16UbUfmrPUnrl/t8+M/kyvqqfH3bk9Vf9eHWKcPL6DjyZJevN+1ot8S6SF0N39E0Gf3lL385rocKU+NaHAQgUJ4Ahq7yzDr+RLgHc1bnUgMfKamaGQbUMGpbg2Tjl8xgODD2S5Bl3NE2Vhpk+EZUn+r8aNZ5s4G6wvcNYVajULSh0mxJdazCDovCVEdYnceyLquzoPCUNxlLpIiQ8lEdTjW+RV3IMc3QpZnn4uKVSiFXfVdnW539ZsrMMC3qiElh6WcqJcPTDNQPfvCDmVvXaVa9VqAkB+9K3+GHHx6t+lF8UoR5bklDl2aJa0WZnwWWTIN+qx5pYJ3WYQ/zo+8aUGh1icoimS6FJeOOBpRaoZJ0dfNNhq/feWUsP3l1X35Cl9ch8n61FUI4G92zlqE0a9Cnwaq2HUm+x6prmtmmFXZ577KPP+uzU4YupUdpl8zS8n/lyTPxn1J6n3LKKTOSXkfdDwPVO6sVrj5e/ynFS5Zr5f3V7Ge/3afef8kBvTca0OpP263pPdGkCT8xQGmSYVHvc5aT3NczyXdPdUzPFtlWtKhsT6Yhb3AV+u+knAjzp9mxVZ3P71VXXRUFoVnnKsfQ4KUy02onbWmTZswO45byRIaKpCxWWeod1VlafptavTMKO83QpTDUDqa9T3pGMlj9Es16LeI0gFMbkNXuafa9tmbUO9nMSb6n9UmkaJdi3q9I8Vs1t2roUlr0rkh++C2HlH//J6XbEUccEa16a5Zu3fNlnaU4SD7f6oouhadVKNoSJTmRRn0ppeM/bdW2V7j5c9uKGLo0s98zUN3yK8WSeQh/11U3FWYey/D9zFLo1yX/fVxql72TUkrtTmgA8czTtvn0z/nPVvNXpI/i45JRKTyjzZerVtM0c76+yL/e3bpdXf2WOg1dyqO2MEwzpqgNVh3w74JWD4lNHSu6/NZ0rbYPvq4qXVnvRbNyrEsW+v6x3g/JBRmItU2778/4OiijvIz1Wt1V1PlJRJLXyTGjwtU1yWz1uRVv0rXCqOpYVW1y2DaqnctzXkboOcVbxRXJa9i3z1u12Sp7rbj0ZS9jUNKFck1l2KqrIvuq9GVkTPGrZzWRIK+fo3xpSzPPQlvEprmy6ddWiP4MOB+2PtVflN7Bj+01yVbXswxddbblXhYoviLGgzQO/preA03WC1feKlyNfyRHpDOTkzFP1/XXzNAlv63U6bp1I0q36n1yfKB8SFZqjJCcyFiVr5cvWf1VH27dMryojqOI7FL5ydXdbol3kbqap9fRJA8/ztaYKmvL6wdywf8QgEAWgSHdcLieImCNq7MOprNl626nnXZypkR1c+bMSc2DitdmLThTdEd/tqWXW7hwoTMllVuyZIkbHh5OfS68aALX2YAsumQdHnfcccfFt5UWW1XmTLHobNZqlJ745ix+MYOTs4Ges06iW7BggbOGIcrnLCahtqjE1GYVO9tmMCq7efPmOWs83fLly934+HileFQHVE7WqLtdd93VLV68OPobGhrKDc8a2IitdfqcKcWcDQZdkefCgFUPlR9TxkafuufztMMOO4ReC3+3gaiz2cPOOhVu0aJFUb6WLVvmRkdHm4bRDr5NI5zlm7bdhLNt5aK6s8suuzjr+LqJiYmmqTAlsNN7boOZqF7YADn3maYBduFNyQjVF71b4qK6or9mro66H4avd8hWmjmlRe+z5FSRd6nM+2szxp2dEeXMcOxWrlzpbHDnJEOynA0AnRm0nW1XFnmx7aGcDWKzvEfXJe9VX/Q+26rA6K9IW9I00DbdnG05YUoIZ4OYqFzN4OhsEkDtOTOljrOBstN7KjlaxkkWq++g9lJywZQrrooM1ruh+qw6oPogGay0qG0ZGRkpk6TIr9JlxjFnq0ej/ozeUfVR1F8p4yTfFYbSZUr60s+XiSv0a4NwZ4oEJ1mq9zpPtoTPdvK7eOldVp1Smk3x48bGxjqSpLrqZl2Jr1v+h+lS2Lb1Z9SnK9JGh8/O5ne1I3ovJS9ULyTPTIHVNAl2FoozxWk0vlB79P/ZOxO4+4r5j09pX37tG0VIUUnIEqVoIZRKRSUlShIS2bVQaEEKoUQoQklUZCmSSmhRWbKWkH2PyP1/3/Pve35z586cM+fec5/n3uf5fl+v57n3njNnzsxntu86Iwqb2vTD3pxUvgWeFLxoY+ZX5sSuSbbC9PIOcpd4hPdlP8r60JfRkD9GmQtlqz0nBnX/ZtkK1ctzWgzmdDFyujXWWMOJ8naodUbzYt6DF6NvL1iwwMsP5FvHK+mzo3y2lVUppxj5vNwErwVPUUfIWeLg6pPI0QVOnG3qko90j3VfHEqdGA+cOMsV5zUs9mJI9vy7bOc4sEbJNsdOHEB8GcRRx4lDVnF5cgmHmfvIqyteJleu0uvDlB/5Ed6SOYx1iTExDE3aWh7WgbqJA5kf8/DQw/CrYX58H7ZPg1PXuhHmX/Q96EJYe1ivl1566bjIY/s97jl8GB1HSWVHWbdK8m+bhnVcthZ1cizAjMkxbcto6Q2BSUfADF2T3kKZ8olXqDv22GP93Xe84x1OPDkyKUe/HBq6ZK90J96co2dqORgChoAhYAh0joB4lLvrr7/eK9hQgJUIcbL9qJPta31ZJALTifd55+WaLxlK5J5DQbfVVls5OadpvlTb6mkIGAKGgHewkSgAr/iTSGon3tWGyhgQUEMXhjSJtB7DG2Yny1BJiiF4pZVWmp2CTMhbJUrISRSyL41EITuJlqgtmexm4XBIhTD+YISaDyS7kzjZ7ssbLXH+nUnF/nzA1+poCJQiYHN4KVKWzhAwBMaNgBm6xo3wmPKX7QycbH/i8EDAy+vSSy8dOtqnqYhm6GpCyO4bAoaAITD7COAtTESGbB/io7lkG9miQsm2Fw4vWagrb9iiF8+xRHgaypZ13qMXpYucCzDHamjVMQQMAUMgj4BspeXe+ta3+gRygLyT84Lzie3O0AiYoWto6Kbqwb333tvJ8QI+OoPoSHYCqCN2XDnttNP8DitxpF/dc9N+D14Lw2i868y018vKbwhMGwJm6Jq2FrPyGgJzFwEzdE1x237jG9/w4fmEPssBtU7O0xhLbczQNRZYLVNDwBAwBDpFAEPXBhts4ORsMr82YLQqoVA5+bWvfc0by0qeszT9CMi5jW6fffbxW/ihlCqJpuvPwX4ZAoaAITCdCLDVjpyp57fswwFPzj2xOXBMTWmGrjEBO0HZfu5zn3MHHXSQLxHbUb/zne9sLJ2cU+muu+46d/zxxzuMZPOB2J6abfZw8GLOYYt9I0PAEJgdBMzQNTu421sNAUNgEAEzdA1iMlVX1HuLs5vYvmIcDJ4ZuqaqS1hhDQFDYB4jwBaEbEXIGUcoSprOiLr44ov92QYYx1BO4kBRcm7YPIY4W3UUveyNz1lVnJ1iZAgYAobAfEAAJfPuu+/uMPBDJ5xwgttrr73mQ9VnpY5m6JoV2GfspZzb88QnPtGfrc35p0R1cS5ZE7G7C+cFsW1o7uzupjym7T473DDvUF/qbWQIGAKzh4AZumYPe3uzIWAI9CNghq5+PKbu11133VUdTouSss2BsKWVNUNXKVKWzhAwBAyB2UUAw9WBBx7ovVs5iJgIoyc96Ulu9dVX9+cWcBCzHurOoe94/0LcP//88xsNY7NbO3u7IWAIGAKGwGwj8L3vfc8hGyy77LKOKGDOBvrlL3/pi7XFFlu4s846y2+3NtvlnKvvN0PX3GpZosHvvvtuH43PuVxsO8hWyNA4d2yZWyhabQwBQ2C2ETBD12y3gL3fEDAEFAEzdCkS9plFwAxdWWjshiFgCBgCE4cASkaiff/5z382lg1v4a222sodccQRbv31129MbwkMAUPAEDAE5jcCJ510ko/ailFgC7HzzjvPLViwIL5lvztEwAxdHYI5AVmxNeEVV1wxUJLddtvNMdYsyn4AGrtgCBgCE4iAGbomsFGsSIbAPEXADF3ztOHbVNsMXW3QsrSGgCFgCMw+AngDn3POOe7LX/6y+81vfuP//vWvf7lVV13VR28RwbXxxhu7Pffc06299tqzX2ArgSFgCBgChsBUIPDJT37SnXzyye5Xv/qVW3LJJf22as985jN9BPFiiy02FXWY5kKaoWuaW2+w7K9//et9FNdvf/tbv+00Z60ecMABPhp/MLVdMQQMAUNgMhEwQ9dktouVyhCYjwiYoWs+tvoQdWbPbwjvf/6MDAFDwBAwBKYLgV6vZ57B09VkVlpDwBAwBAwBQ6APAZXJuDiXDIts3wefMtfq5Stk/wwBQ8AQmOMI2Bw+xxvYqmcITBECZuiaosayohoChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCCxEwAxdC7Gwb4aAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAlOEgBm6pqixrKiGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAILETBD10Is7JshYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChsAUIWCGrilqLCuqIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAobAQgTM0LUQC/tmCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCEwRQiYoWuKGsuKaggYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhsBABM3QtxMK+GQKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAITBECZuiaosayohoChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCCxEwAxdC7Gwb4aAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAlOEgBm6pqixrKiGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAILETBD10Is7JshYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChsAUIWCGrilqLCuqIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAobAQgTM0LUQi3n57aKLLnL//Oc/3QorrOC22267eYmBVdoQGCcCNsbGie7k5z0b7f+d73zH/exnP/Pg7Ljjjm7JJZecfKCshIbAlCLwi1/8wl1zzTW+9Jtvvrm7z33uM6U1mRvF/tWvfuV++MMfukc/+tFu2WWXnfFK/e1vf/P9YaONNnJrrLHGWN5/8803u7/+9a9us802c4sttthY3hFneuGFF7o777yz7/JOO+3kllhiib5r/Pjvf//rvvWtb7mVV17ZPfjBDx64P+0X/vSnP7mvfOUrfdWgrk960pP6rpX8+Mc//uEuvvhin3S99dZzm266acljlmaOI0CfoG8sWLDAbb/99nO8tlY9Q2ByEYC/g8+Dcmve5JZ+MksGLwFPAT3wgQ90D3/4wyezoFYqQ8AQmFoEzNA1tU3XTcFRBNx+++1eEI2Ftm7eYLmUInDttde6W265xT3taU/rRDlz2223ua997Wtum222cWuttVZpMeZ9uq7bwcbY/O5Ss9H+r3jFK9wnPvEJD/x1113nVltttfndCInadz3OE68Y6RKK4i996Uteic0cvuiii46Unz08PgTOOeccd9hhh/kXfOADH/Br+PjeZjnXIbD//vu7L37xiz7J4osv7o466ii333771T3S6b1TTz3Vve1tb/OGnkUWWcTtvPPO7t3vfndn78CItu2227pf/vKXPk+c1M4+++wZMY488pGPdL/5zW/66vK9733PG7PCi1dddZXHnLJC6667rjcKLbXUUmGyqf5+ww03uB122KGvDhioVHHXd6Phx6233uowkEPPe97z3DHHHNPwhN2eDwg87nGP88p1jJ/IcjEZjxAjMv7fk843jh+B+fmGl73sZe7Tn/60r/yNN97oVlpppfkJRIe1xiHpUY96lM9xn3328XxTh9lbVoaAIWAIODN0TVEnQKj617/+NVKJWZzPO++8Ko/ZUMJWL7cvFQJ33HGH98z93//+5w444ACvnKluDvnlCU94gvvJT37i8Cq+5JJLhsxlfj02jnawMTa/+lBc29lofzN0xa3Q/3sc47z/DaP/+uxnP+sOPvhgn9EZZ5zhnvzkJ4+e6YTn8P73v98baO91r3u5M888sy8yigiWF7/4xdkaoPBHIcgf3qF8omDH2DBu6tLQ9ZGPfMR96EMf8obN0047zT3gAQ8Yd/HnTP5EsW6xxRZ99QG/yy+/vO/auH7Avz3mMY9xKHCUMFAT2dSVs9FZZ53lXvWqV2n2/vM5z3mOO+644/qujeNHqaHrkEMOcZ/5zGf6ivCe97zHG/36Lk7xDzN0TXHjTUnRmwxd85FHmM2mmwa+cTbxmcvvNkNX961rhq7uMbUcDQFDoB8BM3T14zHRvx70oAf5bQZHKeSqq67qrr/++iqL2VDCVi+fB196vZ7jr8kb/4orrnB77LGHR2TLLbesojFSEKFMacrv3//+t9tggw3cf/7zH4cXLdv4zNT2NqkyT8u1rtuBes/mGCvpK5PcNtNe/tlqfzN01ffqNuO8Pqf2d1kPoCYDzAknnOBOOukkn/bVr361e+lLX+q/z9V/eMkSzYyX+oEHHuiOPPLIvqqyHSdbxrQhjA4YAOCdxkldGrrYSnrrrbf2kfZs5YIyE8OfUTMCN91008AWX/e+9729oalpvDXn3pyCvkub/fGPf+xL/I1vfMPd//7377umP4h6YnsyaJlllvHblOm91CfGT6LUQtp1113dKaecEl4ay/dSQ1cYVacFYT7ba6+99OfUf5qha+qbcOIr0GTomm88wmw32GzyjTNZd+Qu1suZWDPHUa9xlN8MXd23lBm6usfUcjQEDIF+BMzQ1Y/HRP9C2YUBI0VE7nz3u9/1t1Cs3+9+90slc8svv7x785vfXN2bTSV8VYg5/IUtc9h+ir2d6wxNKEg4S+enP/2pO/HEE/33FCxsi3T00Ue7j3/8446IrTp6/etf7/D+RelwxBFH1CW1e/cgMI52mK0x1qavTGIHmPbyK6az0f5m6FL005+l4zz99PBX7777bvfQhz7UG14wYNTRD37wA68YxsiBIWUuR/bcddddfhsw6oxh4rLLLhvYvjc0dIEhRiwlcGUrNyJ6WGtx8FBi+zoi41BUjOusui4NXZQbngHeAZoPRk5f0Y7+EfmI0VTpla98pXv5y1+uP8f+iREKY5QSyupPfepT+nPgE+Mu28tCz3rWs9w73vGOgTThhd/97ne+76sswPzANrW8Z9xUauhi60j4TiXOGCKqDfljrpAZuuZKS05uPZoMXfOJR5iEVpotvnEm685WtE95ylO8YxW8x7TRuMpvhq7ue4IZurrH1HI0BAyBCAHxLjaaAwjIdjc9URD5P9lHuLhGsj+uf0YOUC5+xhKWISDbTPZkCyWPryjeih4ShV9tut12283nJ/u116bTm035aTr77EegCbc27TBbY6xNGftrPxm/pr38iuJstL+cF+TnCdaE3/72t1oU+4wQaBrnUfKRf1555ZW+XSQyqSgvUaz0+JvrJGcYVf31ggsuSFb329/+dpVGnD2SabgIXqIA7MlZN1V6xoGcc9YT40D2uVFuiKGhetfnP//5UbKqnpXt6Hye973vfXtixKuu25d6BOC1vvnNb/Zku8+eOA7VJx7T3e9///u9D37wgz36rHiXZ9/yox/9qOo39FExyGXThjckCqxHPxMDa+8Pf/hDeGus3x/xiEf0lZcy594vZ3n1Pvaxj/Vk2+wevPBcI9kZYwCLpz71qUNVU4zzVV7ioDZUHvbQ3ENAzm3z/UKcGrOVmy88QhaAWbgx03zjTFZRHC18n5NzJmfytZ29a1zllx0VqjlaIrY7K+98zuj222+vMBWj6nyGwupuCBgCY0KAbdWM5gACZuiavEb88pe/XC3ipYauulr85S9/6aH0QrlQauiqy8/uDYdA23aYDUNH2zIOh8T4npr28ofIzEb7m6ErbIHJ+f6mN73Jz9+lhq7JKfn4SsLaqAp0PnOGvVJDV1hSiYzqSeRXtQ7LVk/h7c6+j8PQdemll1bllij8zspqGU0OAscee2zVxm0MXbNVAx2nlFX/coau2SrjTL1XogYrDBQLM3TNFPrz4z0lhq75gYTVcqYQkLPg/bw2rYaucZXfDF3d90AzdHWPqeVoCBgC/QjY1oVRhNu0/vzoRz/qXvOa1/jin3zyye6Zz3xmUVXqttWSruJ+/etfu1VWWWXkLX9EmeW3Flp77bUdWwmNkyj3rbfe6su93HLLdfKqP//5z+6vf/2ru8997lN8Xsahhx5abVnTtHVhSSHD7ZFKti4syTOVpou2Eg9e33fYVmfNNdd0SyyxROpVU3mtbTvM1BgLwWxbxvDZ8LtEA/mfq6++enh57N+7Kn/XBf373//u/vSnP7m11lqrdivS8L117R+ma/udeY7t2lZaaSUXz3PDbl3YxdzZ1dgXg4e77bbb3NJLL+1WW2214nk3xJHzjkSY8ufesI7VbR8bPtf0XXGiXJyrU0LiBewkqshvT7vZZpv5s5dKnhsmDfVm7LLedlVnzj1gHQNHtiLritjCka0FIfqtGGmTWYdbF77whS8s3o6XbZ3BnXUN3kMcUNx6662XfMewF8P56swzz3TbbrttX1bwD6yFbbZuo489/vGP95ivsMIKjvozFrqiYeayundzLpUYPXz/YE5qOt9DxxD9KZ6/6t5Td4/t/MJtC0nLGaUbbbTRwGNsPUefgGibTTfdtEpDX7/lllscaeg/8H0Sne+3HW1qwzBfzfBhD3vYwDgE/6222spJ5JMm8/2ULZJCYqyFZ8z9/ve/930iTMM8JE5Q4aWB78yDEkHm2C4Ivp6zwVjHmCMYDw9+8IMHnokvlG5dyBai8TllbL1Kv8jRtdde637+85/7svEs5wlr+VL45fJh/aGenEvLVuBgA378wYu2Ifoz5aJN4YHE0OfPvqW/ML9yHltI9KELL7wwvFT0HXlFjBo+bWpuo060F3WZBhrH2B5GBsthdeedd3q+YOWVV3b8tSX6BW3CvDAqwefAx6XW6qatC0d9N3VgPhBDrZ8nh80PPGgf8ulyjRq2PKXP0U+ZT+HpGVt181Npnk3pmIfhQ0aRqVRGX3bZZX25m9bapjLpffg7eA5w4UzYYbcu1PLNhL5Hy85nV+UP89Tv4daFrC9gH9Idd9zh55JR9Vtd8GWMa9b4UfUvXcn/nEHKHLHOOuv08YW2dWHYg+y7IWAIjAMBM3SNA9VZyHNUQxeKANlixLHIcr6AeE/7M78w7sBEISAi5GJMyx2qHVcbBpLzphAUETphflC6IXBuscUW7vDDDx9gFuI8Sn8jLMj2R+7yyy/3ig7qQbkR/jfZZBP32te+NntuGe9AOD3mmGO8cP25z33Ov5YDxDlbAQUTgjtE+VmsZVsh9/znP3/AaIcyk2dk2xpfZ/+Q/EspIT70oQ9VygUWfDVO7r777n3Kvq9+9avu9NNPdxLFpdl5JhkFTkiHHHKI23vvvatLu+yyi1eioKCRLWSq66kvXbTVj3/8Y8e5ShdffPGAkgNlFgy0eFs52SazWLFFX5QtiHyR3/rWt7qtt946VXx/jb527rnn+u/iWeve+MY3ZtPST171qlf5+wceeKCTba7893G0gxo6xjHG4goO21fCfD7zmc84/tjrXBldlE4bbrihe9GLXpQ9Gw5BgHM4IMYSyuUcMV733Xdfr4hadNFF/XhB0TZM+ZmjOJcF4p28u4n22msvP6YRzLXPpJ5BWPjkJz/p50aEKARiiDIzJ9KXUc7XCa3a/tTvK1/5Suo1ra6hSJdtq3z7oPyiLIxxlIHMAcyvr3vd6xzpIM5/qVOQjTp38o6uxj7KZebxm2++2efJfAohsFFHzg5gvIYKCYmS8nMOfYDzcaCrr77aHX/88e6qq67yv/m3n5x5JBEU/nfdONcHNF/eeeSRR/rzMd///vf7NYaxodijwGWN4Syg1NmYzK0f/vCHnURde2GP/DH8x0pXFET0fyVdk/j9lre8xT3xiU/UW8lPnuVMRtk2zTt6oKzgTKoNNtjAl6+pn5Kprhms8894xjMcCsFTTjnFXXPNNU626nIIrNCKK67olb6cA1miIPcPZf5xNiXni7K20m4xLvrYsIYunge/97znPT4rFMqyvbNm28lnaOjiO/zNF77wBXf++ed7JTlzB/wI/WPjjTf2vAPzQhO9973vrfrscccd5/mOpmdy97uYy7R/wE9JVKJ/FedD4VxFHZXgAzh7KqYu5po4z/A3hhL4jJDo/+G40nux0YY+znoA/8dYhoeMiXWQeYGxkaM4X9IxX4QKdYy7nLWKcqyJ4HkY10pnn3225531N5/h3BZepw6sFfCkjC3mhBxtueWWvt4Y4XNUUjeefclLXuLOO++8vmxyfYL6wOehPMwR8z083a677uoe+9jHJpMxV3H+MLIQhsoUUUfGUWqeDtNjMMXgzviNCcPjqaee6vkgZCH6tFIXhi74KHhT5nHkCOZdsOE9rOPMH09/+tPds5/9bH1t9Slb41ayw84771ysqMa4hjGPOQp+CANjWxp1bOt6xxgbRQbLlRsHBxwEOdcKw6L2EdZI2o35CpkuRaRFDiEPnuecPIi+AF+PQQreq9Shj76KvEJ70c7wOTwLjy07AHieEoM6az5tjyE6lP+0jIoZv1M8QsjnwMciuzJPw8cgl8Nn0W60+xprrOG22247P7cgrzUR5XnnO9/p8YAXUqKPpoxdvEO2lNVkRZ/I2TgaMHdS1yYKZUBkmBQvgR6Ce7QnbclvJdoA/hmejz/aI6QQz1hO13TKN4b8KPI3axB8jvYdMFp//fX92aEqv2geqU/Z5cLjjXxNOcL+i/wBvjEdcMABfWclxvf1NzgwBzNnK89N34bPC4m1FYxTNKwOATnlfe97n88S/kLl8tQ7uMb8rfMyzsSca9lF+XPv0+uhoYv5A7zBDD0RczSGHHhY+A1kMdaPknm0C76MMnYlgw0r/ytO+omTouyg4LHB4YT+Sp9CVkJOp2/i0MJvaJ999nESRaiP26chYAgYAp0gYIauTmCc/UxGNXQhPMJssNgglOeIhRxFMunqCKEapXidIL/uuus6FDkwBaMQjAKCGoqwHOExjJJTzv1JJgkVVTD/KAdQFodCbPwgCk45T6RP6YpiVQ1Wcfr490UXXVTVPfToxOgSKuvxiqpTUGi+GHYOOugg/elKFexdtBX4oUgtKSd9FQNBCSEIapvBGB11jyI79axsUeU9I7mHsIVQgREgRQgjCHsQTDPCJTTOduh6jPkCR/+G7Stkg3KHPhQq1aLsPXPPWEMRHnuu4ZVKJANCL4IXRp1QuRfmddJJJ3kmmGuh5+Aw5cf4hPIHQmmuQpO/kPmnCgQE/9AYEiZHMQ7jrQJleC/8TkQPCpScgrB0HIZ5pr5jZGCMqRIolQblCPVnTKN8huoMXV3NnV2MfQz/zHt4I+YI5QBCZehNqQKonGPh24E5Y8899+xTYJAfY14VWXXjXN+t+eLFj1IExQaGuBwRdYORLp7bUAbllANhXvSjMP9wTcopiXkepRlKc+bVOmIsyvkFXpmVS6d99QUveIFXVmOMpv/kCAMkcwZz8zCEoPvQhz7UP8r8WGd0HsXQRYQbSm6NnsEg34U3vtY5bCvWkyuuuMK3eW49hI+Cv2AurSOUBarYp181tXEur67nMjy9mbeZY1A8xYRC+CEPeUjf5S7mmr4MEz9GMXRRD9Yu+MRcu+krtf76O/xsMgbxbJPjUZjfKIYu5q06h5/wPfodpyocklLUVDd9ptTQBea6TumzdZ/M66m5FF6Pd9L+TcQaguNCToZBYQsPTp45Yvwyl2Jc0DmFtF0Yuugf8DPITyljq5YJox/4hRHFyCvwsjgooaTGmNFkfGFc8gx9fthI4y7GdjiHjiKDKT76ydzP+tg05pAfYuMsecDXwgvk+ER9DwYv5NmmaGEMTfAhGLhyhAEE5xjmWJxOc4auELMUjxDyORhNMWaxpqOUzxE8JMYH8EgR/DDrFvIrhMIfBwFkbOqW4t9Ig0xQN6ZS70IhjhED4yd8XxOFDl7wwMgTITG/M27oX02UGsshnrGcrvkp34iRDKMU4xlnkDrCiI/RJEfwEzh4ETUHMeZxnkX2yelYmOdwSFGeN5c31+FtS4yQtAcOWzGNokNgzsJphvZFXscpQ3me+D3w9pSVuYr+SVp40FHLH78n9VvblbmfsfviF7/YO0Cm0nINYzF8F3xnjrriy5gHRpXBRpX/wzrKttve8K/9Nbyn3+nzb3/72ys+0Qxdiox9GgKGQJcImKGrSzRnMa9RDV0w1jCoMHIoq/Fug7lGWEJ4xMtDhQAYKBYylMQpQskBcwUDQ9QRzDqMC0wnnh14OsPEQzBseMTAgA9DCFjbb799FUGElyNlpz4Ieyi0WEwRdiCUqaSPKRQYYOZQ0qO4xHAEw4rnJpEjbIuDgKuRLkSG4LWiBCOtAgxKchhACA9yGLKQEIxUYVvHQONpDGOH8Q1hBTpKDD6xgRDGN/RgU6VlXSRJF22FAhLhgfbGUxYBHcEZxSqMOFs1IKwhGN19993u61//etL7LMRGv+NtB/60H4ozypsijLN44IWE13TO+EAfuOmmm/xWUrQpzCs0znbocoyF9Qy/D9tXEF7xpqOdIPoOYxjs8fDTfq9e+zmjI/MEnq0Q4xDhOyby4h79BWGSdlL8hyn/uAxdCJd77LGHn5swtmLwYB5gzBLhSd00UoAx9sUvfrGqR1jnknEYps99x0MbfCDmXpQNKB5RTOD1ixCIYhNirIAzlDN0dTF3djX2UcZq2ekL4I6nH2sQnqysG6w5KFTe9a53+XrpPxVAaQMER3BiHmaME72DQwV1xRtVlVB14zzOF3yZ18ATvFlj8PplfWDeQZnBH4RCh7U4jL7C+xZlGYSHMgZLykqEakisD+SvFK5JKSUW6ZhP8e7HGx8i6g2BEUUpyiH6BWMabBlvEOtSTsmrfTU3V1Fn5oCQH8AjnrZpipLwL4/+gRtGNQhFtW6/HCXzP0cxdJFBuJUwUSRsG9cVhW3FdmYomFHswT/g4cvaDB/FWCQaRPmRl7/85T6Kpq4czDsos+iHKOhyzht1eXQ9l+2///6e/2DsweMx5ui78Iv0dZSp9AulLuYazavuE4yHjeiiHiklbeqCAk8hAABAAElEQVR98MBENKSMpeAQGj94PozoYv4goryURjF0obyC91Z+teSdtKGcbefn2jh9U900fYmhCwxSUUmaR+oT2UEN43ofwxQRlMz5MTEfp4yWzLXMPfDgMcG/ML81EXmTj86rpE8px5vy4X64HsHXs9YwzlFukyfrDU4BXGcup59DtG3sHBAaDzG81EUfkgdrJgY7iCjocFcIf7HhX1djO5xDR5HBwuKyPmK0hdeHWBPh5eBrkUcZpxhS6O8YLuK6I7tQFu1brBmst/Qb2p75GJlEo42YF+g7cR/VMmFgQvENTwPBnzAGmOOZe9j5BEcmeEnkJ3hNnB26MHQRdca6BD//3Oc+1xsKlB8iaop1SZ1a6G/US/lyLT+fpFNHTBzLcCBirYMYaxgfjjjiCI8Z1+mfYN1kcPUZRP/AvktDF3yP8uxEAuGUStlw2oNPg8+kL8DPMBaQa0MKx2mToYs8aV/kXfip/fbbz7cjawZjBr0HWDJHQ0TOx+/jOnoH+En6KsYTHDHog8w/EH0UA5/KxkQjs/7mnAz9Q9E/MOY9zCvwJBDjJB4PrA3UJSTeO6q+B3kKfh2+CF6JNoi3M8boj26K8QAvxHtpO2iU8od1qfuucgbtCk/HXMzcjPMFmBB1TDlY19RZlDkcXjNn7OqCL+tCButK/gc/+CLkHHUQBR8iRZlz4WOZ41jDwIprGq1shq663mf3DAFDYGgEhDExmgMIiJdNdTCyGFWKayQGieo5USL2ZFHOPiue6VVaCctOphPDRE8WdZ9OmP2eLGLJdCIMVHmJISyZpuSieLFU+YiAkHxEQrp7woj4dMLs94TRH0gXHiYPDsJI9mRRHkjHBVGs96gb6YRp7YniL5lOlEFV2cCljsiD/PiT7aCSScXjq0ojzEQyTXhR21Y8wcPL1feu2kq2i/HlEga1J8x4lX/qizDTqcu114QB8vmDtQiKybSivPVpqKsYt/x3ypUiURj4dgNrUbL2JRlnO2j7jjrG+gqc+dG2rzBnaPnE6NATBcFAzrSdHvRLW4twPJCGC6LkqvKK5yIR6noitPn7ImT3RLBM5tGm/LSnll2MP8n84ouiPPTPiFdgfKv6LYx677LLLuuJIqu6Fn8Rhr56twjH8W3/u2kcJh+KLorhvXqPCHvZuUm8MnsihFVpwUWUnFFu//+zi7mzi7HPGiGGO19mUaT2xDCTLG/uIusH9RTlTE8URv5TjKe55P56yTjXfLVviXNBti+I8a3CnDGSIzFw+XTiwZpLUl0P1yRxcqiuh1/ES716L+uNKOTC29V3MZD2RCj3aSkDYyZF2le1zpQhRyE/IEakXLLa66IQq8oviovatPQLLZd46NemTd0M20iiVlJJhr4WthVlFOVyT7YoSuYnytEe/Zx09NncmqYPi7K7qrcoV/Ryq8+u5zJR4PVYA/gUJXJjWbqYaxpfIglEYVZhpX2F9SZFzBWaJv4UB6aeKDp74iRVrXlxmhx/kco3bGPZQqwnzlE9UQ4OvF8UQv4e9/VPFMd9xRcl2sBzoujsSxP+kAhfn562ok5iLOqJkqknSu+eGDh6orQfyE+ipsIsqu9NddOEYiwayDOew3h3jKk4OPg1VyJbe6x5EnXfE2W059dEqa7Z933KVlcD+YiHf4+xAq8vhteeGH+qNUbfCY8f8zmsC7oWaTo+kR/gLSizKKx7spvDwDtJJ17qfWUr/RGuR+TDXC0RDsnHkT/ARMsnivu+dKKM74kC2N8XI0rfvdQPeGbyEieJ3jD8eVdjO55Du5DBxOmkwkmM8Y3ySYyPRG1Uz8suBD3m0RTxHuZDcBRjRSqJv6b8EukYIzm5kPVJ25dPiVZP5hliFo8vHoj7FXKrRFUl82Is0F/0vcxTMcFfrLvuuj6NGCay/FA4R8UyQJxn3W/tm+L0VJesuicRTFX5xSBSXecLZddxUTdfklYMLsm2CfHMyekx38j8hNyTIokSrMqbk0XEIapKI86iqWx8/szvtJ04emT7afLh4CJrubY/MnUTdaVD4D3Ixfpu5pSYwnkG/VGK2pY/lUfuWtyu9LXc+JWo/mo+EKfOXJa+nUaVMXVOGUX/0qX8zxpIO6KvEcfyZN1lF4peOLeSXiIfk2ntoiFgCBgCoyCAB47RHECgC0MXBoU6YnGSSAG/iOWUeaHiTTz06rLzAoEuiAjebQlhWIVS8bapfRylgTJREk02kDYUGEgnnm0DacILskVVlZ94H4W3qu+Tbujqqq1U2Y+BaRwUCn05Y6Z4Wvr2wEijDCkMf4oQCLUvIKCGVCLItDHCkHeoPO5ijIXlzX1vU0aUQQhZYCKe0VmhjHeJB1qFHQrYFKEs0fxQqounZJVMvD+r5+sMfm3KPy5DV1Xomi/ivVfVR6Itkym1/XMG5+RD0UUVHmgjid6J7vb/jBWIKUNXV3NnF2NfvE8rDBH62pKOdx3TTUYu8i8Z52G+KHhTDhJhWVGuahlQ0qaoS0OXeLj2xPvfv5N1md91hPCt5XvDG96QTKp9lXTi9Z1MoxdDfkCiafVyq081nCMUyzYntc+OauiiX2j9JXKs9l1tb8b8Q05JrfnKVqdVWcQ7Xi8nP8P1Tzxhk2m6uNhmLgNHiW7toVRvoq7mmqb3cH9UQxf9kLYJCWVWOLa1D+XGR6kxSHZIqPqA5ine9OGrk99DJbI+V6e4RWkrXt/JvLiIMU/z0U+J2E6mL61biaErnPf1vbFRTwtBP0sZeWX3hEp5rXnAw6QUkKHCWNPG6w046j39xBAoEXlaFP/Jb3Uc0HR8dmXowjhZR/Rz+mrunRKJ4e+h2MfQl6NQMUybtaUux3Y8h44qg0nkdNVGOFVhIGxDGIIV4xKDYWhwlQivgVdJ5GGPctBmGJxyxg99EEOf9q2uDF1N/QojmL4z5UzCPKL30TnkiPGnhj/4qGGpS0MX7allj+f40vK15Rsx0DH/1pGOVcqW4uFwuuAevF4d4Zyg9aOcw1A4H5QYurrSIWhZcTzVOoR6Fb7rdRwpc9S2/Ll8UtdDeUB2TOhJBGYqWXUtTJ+TB6rENV+a+LJRZbAu5f/QIZP1vY7g93Gu0HY1Q1cdWnbPEDAEhkXADF3DIjdhz3Vh6CIaoInwqmRhQrGWIhhy7iME5rzf9LnQ224YxpOFURdJBK46IvpE06YY71DIQqnRRAjImh9K+RRNuqGrq7aSrRQqLPBQ65qI+FCsUwpK2l7vI2Diiai/JUx+oDhhv4kVdSWCTBsjDC8PlcddjLGBCiUutCljqACWvfkTufVfUgVPnWFTtgytjNCyRYifC+gb6lGZU6Tpm9qUfzYNXbJtSNXXiE5Jkbb/sIYunAC0P5dEAsm2KBX2PJcydIVjYJS5c9SxH+InB3Kn4Gu8FgqUeLqXUMk4D/OVc2Qasw2FPNm+NZm+S0MXSmHtF0RqNBGRiUQ08wxKqJSgrn2VNCVzufID1GsYQhHEu1AmN9Gohi4MxIqXbMvT9LpW90P+IRd5EmYI9hpJw3xaR0S6ablzUUR1z5feC8di01xGeXAeKqGu5pqSd41q6MrNH+HY1rbIKZ9LjUEzZehqwi3kn7qqW4mhK4zm1PfCU+QiTlL1CB3YNI+UIxvPYmjQNPpJxFhIGMn0nn7K1n5hkuo71zWNfnZh6CJaTLa2q96T+6IKTt7NrhUhybaMVdlkq/XwVt/30PEIhWpb6nJsh3NoFzJYuD4eeeSRbavWw+is7SrbzDU+L9u+VXwX0WMxEd2g+ZUYEUK+PDfXhJg1RXQRlYjxr45Yl9S4h/waUxh1I1vyxbf7fmuEUc4pti9x5keXhi6MSGp8k+3UksbwTDGqy235RqLemyg0wGOoiUmjv4kSr6OwvzdFx+fyaWso6kqHoOXBGK3rJ4Y9IqGR71TmlK1aa6NO25Zf31vyGcoDtFkThYbVnDzQlAf3m/iyUWWwcJ4ZVf5Hrtc5rmTXoXD94LuRIWAIGAJdI2CGrq4RnaX8ujB0lWxbEW6jEzPNeHFphFWKSY6hYSHURbHJqzl+lt+6fYfs89toVMN7Thn4lDAaCgwlQhEGFC07wmKKJtnQ1WVboRBVbPHyJrIlpURNYVR6TZl9tsWMCSU0bUHfQ0GAol/bJqWgVmUGnzGVCDJtjDDkHyqPRx1jcXlzv9uUMfQETAla8TswtoAvbV7nrRgqoWT/+R5CCs8hyDR517Yp/2wauphXtK+lttsAO23/YQ1doTdjTukWt5FiTdlShq6u5s5Rxz4KJMWPreWGoVAAZR4voZJxHuYbepfm8sex4373u5+vT267ki4NXbpdK/ghVJcQa5viTTRETNpXSTMTc5UqnlJzcVy2UQ1doeKhbnup+L0lv0P+gajiEgq35CU6LkehF31uy+jcs22ut5nL6B+MoRLqaq4pedeohq5clDEOMTpu9DPn7KWKOk3HZ7h1odZjtgxdGHwYC/DfzGupcuSMr6V1KzF0seNDiFH4nQiaSy65ZGBrQcVOP+Ptj8gDRye2B0396Rbm+q7DDz9cs/KfqS0Jc1uQEqmu+ehnSrboe0HmR7geyblEmVT9l+V8n+r98faF8PdyVqC/T3R9yumQreo0jZzN2Ih1/9v//1eXYzucQ7uQwXD+0HZh6962hGGB5+kTpcR2fjyTctwgQkrLU7JeE4mn6bswdFG2EtJt+VMGqjASGWNqHRH1QvkxKg1LXRq6KANOd4opfTfFA9WVNRynJVsXyllrddn5exjmtUwpA5Vuxc+W5XUUGlLhlYahNoaiLnUIYVkxuKs+AcOJ6pyQ75vGcZvyh+8s+R7KA7ktJON8NIIzJw/E6VO/m/iyUWWwLuV/dnagLxOplVpz4vqFxlkzdMXo2G9DwBDoAoFFyGToA77swYlBQKKjqoPcRbnvD1ktKZwePs+htxwK2UQHH3ywEw8Qn4xDJcMDQ4UJdBx4C4lAmTzo2d+85x8H8urBsMJUO9miJ7zd+F0YQH+oK4eAypk7jek55JeDo1dYYQV/iHD4QHgQsghZ/hDo8H78ncN7Rfjwl4URczwTEwe0cng2BDapg331GVGk+INr+Z075BZ89D0icFTv1zziT21bUa468Ujuu911W1EeURpgOPfv4dBcOW/BybYLTgTFvncP80OMCE4EYf+oePy6NdZYo8pGlAtOtopy1FcPEefQWhFiBg4H5xBg+g0khkgnHvJVPnwZZzt0Mcb6Clvzo01fEQa+OtBcjFj+kO2arJ0w1n7ckUYEMycKv2RyxhqHK3NYrhIHKDPWZFtJvZT8bFN+MZo5Eap9PhJN4WR7lmSe4UUOd2a+E+HJ1ye8F38XhZCfLzgEWbzr/B/vFAHEiYK6OgSaQ3dFaIgf9/2S51LjcCBx4oIIsE62mvN3ZMtUt8suuyRS9V/iAHoRdv1FDhhfbbXV+hJ0OXeOMvY5tFm2/PFla7NuhZXRQ6K5xhwvytjwdvJ7yTgP8xWFsD84OZlZcFEMjP6wbPDWg92D236siAHJz0G6job3w+/hmvSBD3zAibAc3nbiJeouuOACfy2eE/sSBj/EgOzkrDF/hTHGuhuSrhms66zvTVTHDzQ9K2dm+DFBOvpjEx7MI8xPkJyX4w+89z8K/8k5BI42hYbhN+peE7aVnN3gRNFfl9zfY70Uw4r/LkYHf1B96iEOiNf5UqIe/UHeqXQl17qay5ZaaiknkUCOw9abqMu5puldIVaaloPjlc/Ua3yK84yTM0XDS06MPk4MA33X+CEOHU7OU+u7nuIjSZDKV7a6cyuvvHLf8/AqcT8RRayTCJy+dPEP+gx9JyQ5N8qJZ3d4qfouhhrfz5grmPeoSxOtvvrqTpTxA8lK6ybbS3kswwziOUy2THISWdnHH4Tp+S6OU36ss7am+GfmxNQ8G+eT+y1RJ455ARJjpJMI076kuTYmEbyunFfkZQp9SAyETnYV0J/Fn+F6hCzDuthE9FVwhsTpwYnhvO8RMfQ4cR7x15ifxJmg7744mTj6GyRnLA70qb7EmR9dju1wDu1CBmNsqTwAL7TWWmtlapG+TFsyduiDYFVCyBRi3PBJxdDqZU19DjlR+0bJei2GBN+/eF4U5o41IqYQs3h8kTbsV3L+nxOjSpzFwG8xfjpxjnJi8KrkV00EjvCWEGu/GHv0Vt8nvDK8ECTGaCdbgvbdL/0hRl8nOxq4VVdd1ct4Tc/xHolK8cmuvvpqJztI9D0i26V5uVQMIv468gg6C9k+0CFHLr744n3p4x8hnjk5PeQbkf/BsY5k+z8nSn6fhPahnUJi7pPoObfkkks6+s2KK64Y3q6+M4bFcODXZHi3ZZZZprpX+oU+q+9HLtRypZ7vWocQvkMcn50Y8sNLTpx8HHqAOmpTfuQ/xliO4BvCNSds11I5A74NniQnD+i7R+XLRpHBupT/kcORjUvnTPo1/Rti/WIdMzIEDAFDoFMEMHQZTT8Co0Z0lXhUgxIh2Op9FB98H27np2lKPzmEug2FWyyUvkPT4RkUU+hNyFkmTcRWIZqfKA6TySc5omscbYVXqXrgKTZ4ZrHFCu8r8fBJAikXw/D68HDj0Osx3IZGvTl5vyizqmxDD6JUlIYw71W75jz22kQb8WKNkuhijFUVafjSpoy6/Zi2WZtPESZrSyJMft/B7aLAqE2vN9uUf1wRXXfccUePrUdEmVP1iTpsxhXRFXoCl2x9CYbhXvdxRFfXcyfvG3bsh9tulNaN94UUelrmvO/D9HwvGefD5CtGSN9XmHdSUTpdRnSp9yRRUXjnl1B4PmEqOlDnqlTkbCr/On4glT68xtyg4yl33lGYHi9lTZ86PyRMm/p+3HHHVc9znkqXFPIPonwsyjqMeGX85IjoV613akus3HPh9a7nMs7ELKFxzDV17x01oiu3jSuRy9oG+jkNEV1EyWqUqZa75HMmIrpoR9ammGdMlU+MPz22sI6J3RxS6UuvhRFYnKsXP8d76wicwmfC/Oqei++F65EoVOPbyd/heamsozGJsaHaKprIt5hEMe7LzlrFXNyWuh7b4RzahQxGFAVtg7zHtr1tiG3utF1LtlHUvJEZ9Lk4akvX6zbl0f7dRURX6ZqnfTq3lbQ4ifk6Mq8QbRwT/UK31RRDcK9kl4g4D/2tcwNbHJeQOJlU+NP/U8SuH2ybStm0rfik3mzzWcdDhuM0Jx+GfCPrbhOFRzgQxRoT51JrOYluIsInJnhn3RZ+lG3y2kREjUOHoPXi3Chte+rOvFoyhtuUX3ldxTb+jPtP2K5i8NSi1n6ycwD55uSBrvgyCjGsDNaV/B/OmURLlhARlYq7RXSVIGZpDAFDoC0CFtHVqdlw9jIbNaKrNNqgzoMbbzW81iC8YmPvyDp0JNR5wCOxLn0YxUFUhggRdcn77uGFLIxu37Umz7i+xPJj2iO6xtVWMgE5EcCdGF69ZyNRPUqiPPUepmE0lt5r+hRjhpM9u50Yy5xsa+PkAHX/SBj5Q6QRfQHCg1r7hOyn7USR6q+r1xuee3h/xV5vJR574TtHjazzhYr+1Y2xKGn2Z5syqtck3mt4KbYhPFhF0Z59hEhCxZ5EeLgRmdcUCdCm/OFcUBrRRTQmY5j+Qr+JSQzZPnKKfgctv/zyDpyoqwgtjohFIvREqK8wG1dEF9FcRHVBYqhweNw2kZwv4WQLJ58sjugK8epi7tSyDDP2w7qVeknq+/Qz9LS88cYbHRG+TVQyzsN85cw53+5N+YqAV/UnIl7i+YXox64iukQR4KOumMtEwe/wTm4iPIyJNIbw1hXhve8Rjejqgh/oyzjxQ7b+cqJs8HfEcFJFNyWS+kujRnQddNBBPuKPzFg/WEe6opB/IIqCSJUmogwavcN6yfySIrzrdczjfY7XdhuazblsXHNNrv54T2v0m6ZpE9FFZDjRAzERuUtURUi5aJ/SqKdxR3SFfTIsN2sv8xBzP1FmrPv0v5BmIqJL3wePyPqGB78o/vTywCflZf0L20c9yAcSF14Q5XYVZcMOAOwEEBJRfKLQDS/1fUfOEWer6lqYX3Wx4Eu4HpVE9ZHllVdeWc0zzG2yZerAm/CSFwWojwaBD1iwYIFPQzQ6/DRRtUTenHvuuQPPNl3oemyH/TUVnRSXp0kGU76WSJif/vSn8eO1v+H7NBIHXhE+v4SIRIN3hYhQJuJNaZjyaIR4FxFduQgkLZ9+1kV0kYYIK/oV6zdzCTw3fQkemX4sRkof1U5adsxARhiWFLPSiC54GiKkoFREV1gO2cLV7y5BesqtBF9PuTXaUa/zGY7THJ4h31jCjzZFdCHzyvEIjmh8SAyMPqoOWYRdcViz4J3hv7kmxjLfFj5xy39tIqLGpUOgyOy8wlxMBB5ERBS7h4Rzv78R/WtTfuV1oyyqn3H/Cdu1VB6AD2SehmJ5oEu+TAs9jAymY2xU+T9cD9gxRcehli31ydqpEfQW0ZVCyK4ZAobAyAjIxGg0BxAYNaIL75kSqvPgFiaj8s6QLQRKshspDR61eIPgYTYqhd6EqUN94/ynPaJrJtqKMww4tFUUTVW/wGtOGKIYzqLf6hEpwl+VXs8ISHkfqseWbJ9YpdfoHGFAq2vhlxKPvTbRRuSt5ehijIVlrfvepoyi+K7aJ3WWSN176u7hrY0nJmOUPbvVcysVSRLn06b8w0R0aZ8UJjt+tT+0XpSVvrx44slWiMnoHB7EI0/rNa6ILt6v7yjdG16EhuqZOKKLcnc5d5JfTKVjXxRaVTnxXB2GQk9L+kIJlYzzMF/ZMqYk2+ocOs6nSFGXEV1EQWu/SLVx6v2cn6jPpPCeybmKiDctS2r+jss/SkQXXtx69gjvHCaCIS5P+DvkH2R70fBW9jvnA2n9RXmYTRd6veLR3YY4j2m257JxzzUhHqNGdOXWv2mM6FLctY/xKc4YPVHWhpD581TDNHyHT0tRl2d0xfnjxS8GhR7RK3F59Ddzckh6jpLe55NzXKhjyV8YccEcEebDd+brHBFFK4rlvme6iOiSbdRyr+y7Hp6tJobCvnv6QxwbqvIhIyox92tdxcCkl1t/ah+bRBlMtvOs6sg82IbYfULbNhdNlcovjKSP30nUsmIuCvzU4wPX9IyfXBnCdSclt5bwOfFLGfuUs25NZtxwX+sTf1LekvOp4nfHvzWqpzSiS4xPVZniiJw4b/3NOGacaPSN1oVzhWMqwTPkG0v40aaILi2DbGtYnYGuZdRP+irRbHGf02dLP9tERI1Lh0B7IJ9TN+ql45AowSZqU34iYsURM/sX78gQtmupPCBON74esTzQNV+WwqVUButS/hfHEF9fMZ6lijRwTZwvqvFqEV0D8NgFQ8AQ6AABvECM5gACk2DogjFAMQyD0nYrwmGaQLemYAuFkrD2unc0CQzxs9Nu6JrJtkIo0q0s6Bul29fFmGM0U8YeJg7FhDLBbNETk0SL+PRsUUFYfagEyykjSwSZNkYYyjSTymPFoE0Zw+3jmrYi1PybPlEUaJuzpQZba4iHpG8P2oxtguqoTfkxnGq/KFEEh1sspAxd4faW4klZV8xeyKiPy9CFAkPrd8YZZ9SWR2/KPvvVMykjSJdzp74z9dk09lGGaN3CrUdTeeWuhQJoiWKBfErGeZhv08Hr5EmfZy2iPjmFZ5eGrrB89MMSEk/lCm+Jeh14ZKbnKjm/0ZeH9zbRKIYutm3SfpZrm6b3190P+Qe2RSqh0Bj9j3/8I/sIc6eWva0yYBLmspmaawAwXOMVs5wSvtRoQ77TZujCkKv110/GGmtfTPBSmkY/Z8PQpeViHmXNk8iSgXKhOAyJNVfLrJ/i+R8mafVdFXWaF58SXZDMI9w2W9MPO7eE65FEMiTfF1+UCLiq7ihsU4RcpP0cRb6SbqtOfVN9QtM1fXY5tsM5NGW0icvSJIMhZ2i73HDDDfHjjb91LcTYVEq0P+/EkSomnD+1PDgvNJFEflfpJ83QxZxBP6U+rK1sw8t28aw3GJrl7KOm6hXdV0MXTiolpM6QlKvU0BXmyxb5cr6QrxefMe8cjtOSrQtL+NFSQxcyEbIUjp4Y4ZDbcBRju0M5AzisxtDf2xiKxqVDQDbXccLW8SeddFL1G0etOmpT/rp8UvdCfrtEHiAPNVTH60LXfFmqvHqtSQbrUv6H16LtNtpoI3197WfoiNGWt63N2G4aAoaAIXAPAmbomiNdYRIMXUCpwgGefjDq46SQ8ZDtx0Z6VddCFoVRYZKFP7WvdljgEgY6VP5feuml4ePJ79oWuUgivT8TbYWiSD3qY6YvWfjExVDhhzdreG4XQm9McoB0xSDDmEooffU7peTl+dloh7jcdVGTcdrc7zZ9Jez7CBZdkGzfUmGNch1COFZFP+eV1Sl325QfD0A1MJScYROexZEydMFwq6BFn6ujUGAZl6ErNKalztqIy4eSQXGmHrGwTvou5874/fHvurFPJItiXerJHucf1qVEscDzJeM8zFe2mYtfO/BbDouv6pIzuGq7PP3pTx94Pr4QjsuU4i/06D/55JPjx5O/t99++6qM8RmbPKBrQm7NiDMdda7SCFuU8Ci462hYQxfniKgDDn0N4bprCtuq5HwCzjFBGUB5mpR4F1xwQdVmnDPWhiZhLgvH0ah8WlPdp8nQJVs/Ve2qc2CJ1/pZZ5018Fy8gwLKT81TP3NjOuxfmnY2DV3axpytqo5MWi7GcchLh9HOmqbkvD99R/ypijrNi88TTzwxTuZ/41wVpuP7sLxtuB6VGp9CQ/kPf/jDZBm5GJ5XCw+GXKbnE3FO1yjU5dgO59DUeheXs8nQRZSbtk/OsS3OM/wdRtyy9jQRfJYaSVLRUKFhElmkiUI+dZIMXfBzajxtMjw01bHpvjrHYeAh4rOO4Hs1wpB2H8bQRf7vfe97q34TG5DDcTqThi6Vh2Tr4qF3RKnDTu+FhqK3vOUtejn7qfxiVzoEZB2d8zk7CkM9f/DLtCnjq85I3Lb82YolboRzXYk8EMptsTzQNV+WKG7fpToZLJx3R5X/wzVJtpbtK0PqR7h+m6ErhZBdMwQMgVERMEPXqAhOyPOTYuh629veVjGJquAeF0ThYagImE2KsrpyhIt9F0IW7wq9yJsU5iUMtJzpUGGbE77DOioTmlNwzGRbUS5lVks9VsO68B1BRz2kUOwovrkDw0PBh+guZVRlP/lsX5mNdojrOarymPza9BUOX1YF/Prrr++344vL1OY3gogqUmjrUEANlfOvfOUrs9m2KT+ZyPlvfmywxUlTdKf2AwSnlKHrkEMOqcaZ7LGfLSPzjW6dSV7jMnTRj2U/eV8mhEA89OooNL5RrpShq8u5s64sei839mkrxi/l5A9BtS2F7TkuQxeKX9qhjjSCkXqgPE4RBl7uY9hB+KyjpjUJQ5Uq1pjTMJ7UUdjmBxxwQDJp05oRPzTqXMW2str2ddv38d5hDF0YE3TrPt6DEnwUPiGuv/4O24r31CljeCYco695zWs0m+RnGIXH/NmGJmEuC/vdqHxaU92nydBFlIn2ff1kfidSSIm+inEipBJDV6gk17xRFsee/6wlOuY1HZ8zYejCaMt2XLnttihbuOUx5ULBHhJpdBvisPwY/nGASREONnImVS9lNJYz8wbahDLEUWKXX355n1Jd392FoYu8PiRGmjpiW0bak7QY53J1JQ/6k6ZFYU7dtbxNckldGbjX5dgO59AuZDAwUj6U/hwaSJvqxf3QcYUt8Zoo3HEiFXn/ox/9qGqHnEwWvuOwww6r2mmSDF0ahcFc1cTDhPUZ5rvKePTXpjWVbU+1X/M5rKELJ1LNJ47cKZEP2/KjJRFdukMDMvs4iflU617isNOlDoF5Wbf6w9gfbi8tZ+xVawFjJ8frti1/GyzDdi2RB+Sc5ArLWB7omi8rqUdOButS/g/7cux8E5eRNUvbmz5nhq4YIfttCBgCXSBghq4uUJyAPCbF0AXjq17aRFkQddNEKUVs0zN6P9wTnW3GmpSRbNORiiTpWsiifJxFpEzjkbKNRh2VMNDXXnttlR+MbxOpAiMnVHXVVgiUTQQDqttU1Rk4mvJRjyEid7baaiuPBx6rOVLmdIcdduiBA+3xkpe8JJe8KNKj63aICzOq8pj82pYxPLvn2c9+dg/mt44wUKTOM0EAUa9olAwp4fSFL3xh1Y9RRKeobfnD8xjOPvvsVJb+GhEF6jFIX0gZulCS6bitO08sPF+K9OMydFHwMBoR78DQeBhWlnZTo5/WITe/djF3djH2USJqWRmnePK3IR3j5DEuQxd513lxsn5o1BDzTM6YEhrDmiKLStakUNGAUii3/qH0UYMi63KoRAixblozwrR8H3WuCscaPEwdtTF0oVRUb3DtW6wX44oyD9uK99HOOSUgY2bzzTf3fZ45MjZkxBiogoJ8c9uoxc/o7xDf2ZzLuphrtE51n9Nk6OKcHu2b4Sfr0+67796Dx8GIE0f8lRi6MIKHeep31macpDC0YkBNGYlIOxOGLiJ4eRf1RamKoovtazHmwtOlzgDad999B5o/lH20nnzCIyMTnHnmmT3GAWfYwD+qs1Qq+pv1IzaukRdzO/M655nwqXN9+D6+d2Xogi/Jra3wWOF5T6mzFmOQlG9mXsLJgbIyB+XWqfj5ut9dje1wDu3C0EWZaX9tIxTPOb4pVT+w2WWXXfzztHfdWWbsHoGTGO+C/8qtw0Tka3ngH3ME/xvyqZNk6ArbCePSOCnksevkNtZQXVMV39jQxdpfcjYasrrmEa+3JXJ6W340NA4QiZsi5cuYv8fFw+h7df5bZ511GvnprnQIvDvchpY1LibmcW0XHFdz1Kb8uTxS18N2pRx18gBGcnVCS8kDXfJluXUirEOT/qUr+Z95T50yWWe/9a1vhcXo+65RitqmZujqg8d+GAKGQEcImKGrIyBnO5tQ2Pv0pz9dXBxloFiMS6hEsYWQoosXnwhCCGNsr8F5OnzCCLBFAOHpGECGJbwVlbHhXUSQIJAgKPAuFB94LcI4oQyH+WAro5hC5r0rIStU1m+44Yb+0FONNuF8qZDpLmGgMdARsaLYIgTogal4K8LMhFTStl20FQec45nDVi5gGxpJYMrPP//8nkYy4FmKN+ywpFvihUJgXRSIbg/Ee1U5UTc+ZqsdQjxKxliYPvW9bV+hX+qe+/QvDs9F6cTYwVCCJzhti2canqbcTx3WzHYe2j9zZy4xLvX8DcZFLExSn7blh6HW9mWM0xcRAPAaow8yFlHs0Q9QSOjWKylDF9taIuRRD+YmjAk8j+KDvDiDQA0WzJu6Xco4DV0IEOzNr9iigGEOZQ7h3i233NJjDtPtQVGMaNqcoauLubOrsY9iV8uLkhWPdvobfYUtMJgz8JjGWBMrq0IBdByGLvqTbjOHZzeHWBOFAO5EZRxzzDFV2alD3foRbl+EIjbccgplDXkqlaxJYEEfVOzoF2y3w1rAmCZ/DL9aftLVRVqXrBlaPj5HnasYS1r2pm05Q0MXxniMv/rHeEeRyTk0zC06F5A3awVtNMpZNGGdU9/DtlJBn76KMZN5iLmDTyJV6d9a59z2R/oOFEm61qHIa0uTMpd1MdeU1B1+T7HVT5SDKdI1QNPxmXLe4FnaIUzHd+b9FLXJVw0Qcd7h72EMXZQLh4gwn9x3xgoGmvD+TBq6wvfWfWccpCKQGFsYreqeTd1LGbrA7chA0Z16Tq+xjZhGDOm1LgxdOn8QZY8SnEhX1gXWtq9+9au9nXbaqarrNttsU2Ss0rMw4WfU0Ef0WhfU1dgO59C6NVTL3LR1IemQs8K1D6cBjLxgCp44YhG1wzaFGDFjIpJE8aKNcSa58sorPR+I7AVfyPlUyi+SJo7+C/OkzGFa8oPPwXgJzws/gSGavs571Wl0kgxd8D66AwT1BV/kOxxJ+GPdw3D9spe9rEdkW87hI8Ql9532C2VejF20HfIuf7QfBhDKwzwWOnnFhi74B8Yrhl7kQtpCo/zglchLz3WmXqmIphL5sC0/WmLoCh2a6BvMEWCtfzgFwJsydzWdf5zDWq+HaxI8ma6JyFIxpjzThQ4hzAM9TY7UOYL2ibeV1Gfall+fa/rUdiXaTOeUUB7QPoReS3k2ypmay7rky7qQwbqS/8EwdMRhvKEHYMzSf+hLnAN+0EEH+TUMnhbHO3AyQ1dTD7T7hoAhMAwCi/CQM5p6BIRZcrIFjq+HeIs4YdKK6iQMkxMlthNG0Qnj0PjMwQcf7CRKy6cTJZpbbrnlks+IZ5KThcuJkjV5P7y4xBJLOFFQhJdafRfvbSdKLid7Ihc9J0Y3J8qIvrRiHHOiwPfXxIDk5JDlvvvxD1G+OhE+/GVRKDhhMOMk/rcwik4MPdW9JZdc0t3rXvdywvw7YQCcCF7+nijBnCz6/rswT04Uc9Uz4RdR7Hlc9Rp5Lbvssk48eJ14eTrZV1tvudK2HbWtZPspJ0r36r18WWaZZZwoIJwIcH3XjzrqKCeCRt+1Nj9Eoe9EkKoeESbJifKj+h1/AWcxyjgRaPytRRZZxIlw6lZbbbU4qf89m+2gBSodY5o+99mmr5CHCJXujW98o5OtbXJZ9l0XD2knWzBU15g/6IOQGD4dYwq8U3TppZc6MRb5W6QVJYdbdNFF+5K2LT/zH/NgSIsttpgTJr66tOaaa/o0YkhxYgBwonRwEuVV3dcvsq2RYx4Naemll3ai3KguidLIYyUGLicKKCcChxMlRXVfv5SOQ02f+6RvMteIkNSXJKwj30Xx4sefRM75dMyLuf4+6tzZ1dhn/hIlgxMjdF/dUj8kGsktvvji1S1RqFTPyVaTbqWVVqru5b6UjHPNd4UVVnCiKHQigDsR2KosQ9y5yNzO/CtGmCpN/EUMU06UE473K7GGcp0/UXS5VVZZxd8qXZNEYefEmcSJAKlZ+s+4fGAmijUnQubAWNMH2/bVUecqxia8B+Nq9dVXd6KM8uujlif8FIWgEyVveKnxuyi+/FoqSsPGtKMk0Lai74nR3TEniFNAlWXcFtygPx199NGOezmSrcGcKHf87dz8kntWr0/KXDbqXKP1qftkbmA9CUmilvz8HF7ju2xp6SR6tO8yc+vKK6/cd40f9M+4DzEv3HzzzQNp2+TLfPKUpzzFiSFjIB+9wHzAvKDEuiWKef3pP+lLcqh83zV4bzHyOXGG6Lse/mB9Zs4SRbVjrCgxFuGTYiqtmyiknURm9T0e89Ws//ABJQRvQP2Uv4ifgc886aSTnDgS9K33cbrwN3OdGJ7DS/47cxLzJGM6R2J89PwD/GzIL4mB0IkSPfdY9nq4HomhxDHuaRd4aCg1f4jji68vbdVEomT08oD2d9odvkccf5oeLbrfxdjWOZQXxn0lVYhSGUyMVY7+2CQf0rfDOVvfyZzA+FLsuA5+9ElwVYLHEuOhE8cTvZT8FKcdh1woSt/qPnIcba3qGNpUDDieL+aTuSeWsXi4CbOwX9XJlVVB5Is4ini5nT4ujhrhreo7fRz+Ustb3Uh8Yf4SRxQ/FyVuN15ijIqRoRoLPAD2tIHiD28j5wv58tDWEPxQ2L9T/AN5LL/88l5+DuuCXEkdY16yBE/lGylDCT8ayjmylasTByge7SMxgnr5gjqUkOyM4OT8o1reIpcPY5kyhHLTggULHGUQp+LknD2KDkEcHZ0Y7L38ueqqq3o9FJ8pCtc00jBXxrLNMOVPvSu+pu0Ktuh7mBNGkQe64su6ksFGlf9DvNBtsX6FfShew5hv6e/oKmkzMVA6MeiG2dh3Q8AQMARGR0AWd6M5gMAkRXQpnEQb4ClH1EToYY33Bn9EVoiirHfRRRfpI0N/yoLqI0zw3g29afRdXGMrI7yn8JyLaRzehLwDTz28seIyEVkSev6VeIppmfFIJKJG66afeK2H1MY7f5S2wkMHbyc8nbQs4ScejHjRffe73w2LN/R3YZCq99RFJ+gL2O5Gy0MURR3NdjtQtlGjJML6lfaV8Bm8f8XQm21PIr9EqdR33gdRQ+p5iXdlfBZImL9+52wabZfcYeFty4+nJp7Wmq9+4mVPH9RtwoiG5F4qoovy4SVO5F/snc88RmTVEUcc0WN7KIgtLMhrnBFd/kXyj/kEr9NwDPBuvH+J5vn617/uk4aHMtM2dTTK3Nn12CfyF+9Uoqi07fSTc6iIgMEzMCT1tCTdOCK6mKvpD6wbbLuqXtZaLiKKwR5v7BJia0a8x/V5/cTbngg2pTZrEpFdeDaz/ml++knUJGtf3Xlz+s42awbPdDFX4dWuZWXuyVEY0aXp9XNd8RzdWjzJ8bBlTRDlkY+8zOXV9XVtqzAqAM9eykT/0XLCBxCBxzk5JcScpc8y1oahSZrLRplrSuouDlMVXorbJEd0USdR8lRbpGmZ9ZM1NT7rIvSY1nRxGsWKyE76UMx/85volrBPMYdpfjMR0cVaxdyd4mW1HMytzA8lB9tTZyJY999/fz9Hx3XWPBl/RIDC69UR4zfeDo01iCgH3T6MSHLNl89RI7qYqxmvEBEL8GHxWgjPIkrEvujfunroPSKFtKx77LGHXu7sc9SxrXMoZUxFQcQFLYno0meIiINPI+InjKhSPJinWT9zxC4VyHHK4+pzfMIP0I9zZ82l8oQPRS6BVw7zIn9RoFeRM7q916REdBHRoxGF9MvddtvNR1ITjaF/YMHWmmHkMvUUJ4QUFEXX4F14Vzym2XqV3QA00pNIGcUzjj6CXyeiHhlQ08Sf8D/IBsrbx4UrkQ/b8qNNEV2UR2VrZBt2yGFOVLzRsRC9S7uEfVucFuPiF/9GVidaNManbn4bRocAL0/knL5HDGaNZWRXEU3Pzho6X4YPDlP+8PnUd21XdpWBRpUHuuLLupbBhpH/U3hRrtT6xZrKNsJExEKs17Qn/dnIEDAEDIGuEbCIrtFthZZDAQJ4AxGNg/c5HrN44xBdUefNXJBtMokIXA5vP9lSw+GJxLvWWGMNH+WQfGAGLhJRJEoYHz2HB5kY+dyKK6449JvxZKN+5Ik3Gx5ooffa0BnLg8O2FbiLYsWJUOi9FYnqEgbGrbXWWo6ovblI42yHrvAatoyy2Pg+JgoFt9RSS/lIEzxNR+m3w9RpmPKLIsrh3c98I1tM+fE/zLvBAI9DxhkRO0Sf5KJYh8l/lGeoGxEFzG8iCGcjYdq8Y9i5s+uxT5uLUsG3IfMl/Y75Dc/nmSL14OR9eG5SDiVRajnZ6sb3K7xchykXfRRvczy78Xqmn9LHRiU8z0XJ46NQWGdYZyeZ4AuIPGGs8YmH81wioorx7GYNbNPGrKVEnTC2ho0UCXGctLls2LkmrNNc+k5UK+sMXuussczrYhjNRl+2qTt9EJ6YPkXe8IuxJ3yb/LpMKwo/zzOynjEXwisz38M3Mi8SdTEMUWfmV+ZDIjPAkz92QGhDlEscRzxmtMdME+OE3TPwuBdD2ND8F1HsRE1DbXb9GKa+kzy26V+sOYwF+hfrY+kaSb3YAYX1lfkcfhAZcxQiL/opfERXMtwo5ck9S2SoGAT9WGVdkjMfvXyXS896I8ZiH9lBGqJQDz300FzyoutEbhJVRRswFtlVYZj5gbogp8LHMU+gH0BWTUXzFhVsTIkYp0T+EMHGbhFioK6tL3OdbN/seWf6J/18FB0LaxHrBmOG+Rh+sgTvYXUIXcM4bPnblmMUeaArvoy5qUv9C+VCxzSq/E+5yAOM2F1npvUHbdvS0hsChsDcQsAMXXOrPa02hoAhYAgYAoaAITAiAqGhq2QLmhFfN68fZ9sStv9EiSJnoHml8rwGRCrPNlgSheBhQGH4jGc8Y75DYvU3BAyBIRHYfvvtvcEOhw22pWQrZiNDoBQBiZSutsOTaI0i4yBGbIwjbP0q0UBOItRKXzfv02Fgl2hBb2Riy1Y5o7YIEwyQbBsHsZ08xlgjQ8AQMAQMAUNgPiJghq752OpWZ0PAEDAEDAFDwBDIImCGriw0nd9A8Yohh0g+2aLIn+nR+UumKEOUXJwBKltZ+igwzkoZxTN7iqpuRTUEDIGOEZCtvNyOO+7oc7WzUDoGd55kx/rMGZoYrkrP1iMqZKONNvLRiLaut+sosrWrP5eLp8LzvJtywZjI2YEQ51cTvWtkCBgChoAhYAjMRwTM0DUfW93qbAgYAoaAIWAIGAJZBMzQlYVmLDdOOOEEJ2f/+bzlbD4n51GM5T1hphiQ5Fyt8FLxdzm/z8mZcsXp2yQ87LDD3DnnnOO3spQzTM0ruw14ltYQMAQqBNg6aocddvDbHLPF7uWXX27K7wod+1KKAFviEcmF4QQDSgmFBlY548xhZDUqQ4DIdrYqhORMQe8AVPLk3nvv7S677DK/Ne11111X8oilMQQMAUPAEDAE5iQCZuiak81qlTIEDAFDwBAwBAyBYREwQ9ewyA33HApZvMZRznBeCdvucP7kOGkSDV1XXXWVkwPafbWPPvpoJ4fPjxMCy9sQMATmMALHH398FSGLseKUU06Zw7W1qo0LAbbDY1s86MMf/rDbbrvtal/F2U4Yajg3irNH2Zp43XXXrX3Gbi5EgHOuONOTKHfORPv4xz/uz0pemKL/G9Fzxx57rDv11FP9jT333NOf69Wfyn4ZAoaAIWAIGALzBwEzdM2ftraaGgKGgCFgCBgChkABAmboKgCp4yQcHn7TTTf5XDfddFO30kordfyG/uw4O4R3DkNLLbWUP8R+mGfrnvnBD37gfv3rXzuiL7bccsuiw9/r8rN7hoAhMD8QYC4jEmTVVVd1119/vbvwwgvdDTfc4Cu/xhprOKJD11xzzfkBhtWyUwR+/vOfu5122sn94Q9/8A4oz3rWs/x2mOuss45bYYUV/PaEv//9792tt97qLrjgAm/YwnmFLXdPP/30RsNYp4WdI5mxBaGea4bRa99993WPfOQj/fimirQFmOMcc+6557rbbrvN13zzzTd3Z511ljcwzhEorBqGgCFgCBgChkBrBMzQ1Roye8AQMAQMAUPAEDAE5jICZuiay61rdTMEDAFDYG4hwNZyRG3FhCHiE5/4hNtkk03iW/bbEChGgGjr/fff391xxx1Fz2y44Ybu8MMPd9tvv31RekvUjwBRWq9+9at9NNf//ve//puJX0svvbTbeeed/Rldyy23XCKFXTIEDAFDwBAwBOYPAmbomj9tbTU1BAwBQ8AQMAQMgQIEzNBVAJIlMQQMAUPAEJgIBL7//e+7Qw45xN1+++3urrvucg94wAN8VChr2YorrjgRZbRCTDcCRGldfPHF7rzzzvMRRBi9/vznP/vo69VWW81HObNF4e677+4e/vCHT3dlJ6T0v/jFL9yZZ57prr32Wr8VJNtBLrLIIh7r1Vdf3fG3xRZbeCP38ssvPyGltmIYAoaAIWAIGAKzi4AZumYXf3u7IWAIGAKGgCFgCEwYApyNgEctxPY7RoaAIWAIGAKGgCFgCBgCCxGAT8LwYmQIGAKGgCFgCBgChsCkIGCGrklpCSuHIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoZAKwTM0NUKLktsCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCEwKQiYoWtSWsLKYQgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAh0AoBM3S1gssSGwKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAITAoCZuialJawchgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCLRCwAxdreCyxIaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYApOCgBm6JqUlrByGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKtEDBDVyu4LLEhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChsCkIGCGrklpCSuHIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoZAKwTM0NUKLktsCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCEwKQiYoWtSWsLKYQgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAh0AoBM3S1gssSGwKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCBgChoAhYAgYAoaAIWAITAoCZuialJawchgChsCcQODiiy92//jHP9yCBQvc9ttvPyfqZJUwBKYNgV/84hfummuu8cV+7GMf69Zee+2xVYHxzriH1ltvPbfpppuO7V1zOWPai3aDdtppJ7fEEkvM5erOu7qNY5xYn5mebhTOyZtvvrm7z33uMz2Ft5IOIHDnnXe6Cy+80F9/4AMf6B7+8IcPpOn6gvWhrhG1/AyB4RD4zne+4372s5/5h3fccUe35JJLDpeRPWUIGAKGgCFgCIwBATN0jQFUy9IQMATmLwKPe9zjvLIWhffXvva1+QuE1dwQmEUEPv3pT7uXvexlvgSnnnqqN5yMqzi33nqrQ3ELPe95z3PHHHPMuF41Ufnedtttfo7bZptt3FprrTVy2Wgv2g268cYb3UorrTRynnMtg7/97W9eubzhhhu6TTbZZKqqN45xYn1m9C5w7bXXultuucU97WlPc8suu+zoGWZyOOecc9xhhx3m737gAx/w78sktctTgMCvfvUr96hHPcqXdJ999nFve9vbxl5q60Njh3gqXvDf//7XfelLX3KLLbaYg/9YdNFFx17uaV57xwHOK17xCveJT3zCZ33ddde51VZbbeA1M7W2DLzYLsxLBLrub13LOPOyUazShsAsImCGrlkE315tCBgCcw8BM3T1t+lVV13lXvva1/qLr371q91TnvKUvgREvf3nP//pu8aPRRZZxEfFrbrqqm6VVVbxQtTWW2/tNttss4G08YWzzjrLnX766fHl2t8YJk877bSBNLnyIVgj2N373vf2Sn4Uz9TtXve610AeP/jBD9yLXvSigettL1D/I488su1j8zL9pBi6rr/+enfooYf6NkApv/POO8+Z9njCE57gfvKTn7iNNtrIXXLJJSPXy4wWzRAyh37sYx/zCj6E+pVXXrn5oQlJYYauCWmIoBh33HGHX1P/97//uQMOOMAdddRRwd1uv5qRols8Zzs3M3TNdgvM3/d/9rOfdQcffLAH4IwzznBPfvKTxw7GNK+94wCnydA1k2vLOOpneU4XAuPob13LONOFqJXWEJh+BMzQNf1taDWYAgRQIqC4589obiNghq6F7ctWVdtuu61Dwfmwhz3Mff7znx/wvFx33XWThq6FufR/wyD1ghe8wOFBnKNTTjmltXcxhio8RGNqU7773ve+3qC11157eUW05oWx46lPfar+HPqT7UHe9773Df38fHpwUgxdYH7ggQf6KBy2M/3qV7/aSfTTbLflv//9b7fBBhv4sbvUUku5H/7wh319Piwf61+Jx/VsGrpKyxjWaza+77rrru7qq6/2rz7//POriIrZKEvbd5qhqy1i409/xRVXuD322MO/aMstt6w89Mfx5nEZunq9nuOvZI4ZR73ma55dGrpoP6hJRhpXH5qvbTit9T7hhBPcSSed5IuPAeqlL33p2KsyzWvvOMBpMnTN5NoyjvpZnpOBQOn63qa/lfD7bWScyUDKSmEIGAIxAmboihGx34ZAxwh873vf85EeMOIw5EZzGwEzdC1s31e96lWO6CqinC666CK38cYbL7x5zzc1JBG5FUe7/P3vf3d/+MMf3G9+8xu/lZkqQ3j0sRZj/wAAQABJREFULW95i9t3330H8uNCaOh6/OMf76OukgmDi5wXcvjhhwdX/v+rlo/IidBYdffdd7vf/e53Di+yH/3oRw6mWOnFL36xe93rXqc/vaHvHe94R/U7/kLUG1skQGwftcwyy8RJ/G/OwMjVOfnAPL44SYYu+u9WW23l6M94CJ599tmNCr1paLrXv/71fnzvv//+7ogjjkgWmS3Kjj76aPfxj3/c1z2Z6J6Ls2XoalPGuvLPxD36NRGyD3nIQ9xnPvOZZATpTJRjmHeYoWsY1Mb7DFuA4UDx05/+1J144on++7jeOC4jxX777eedVDi/ia3MjGYGga4MXfBSD33oQ92DHvQgR6ROHY2rD9W90+5NHgLskoBDGbIFfeIBD3jA2As5zWvvOMBpMnTN5NoyjvpZnpOBQOn6Xtrf2vD7JTLOZKBkpTAEDIEkAqI4NDIEDIExIiAK7p5sb9aT/evH+BbLelIQkLN6fHuLQntSijQr5fjud7/rcaDvv+Y1r8mW4X73u59PJ9v+ZdNw45e//KXPh/z4W2eddXo33XRT8pmTTz65erdEaSXTlF4sKZ8Y43rvete7fJkomxjNehK5U/qK3kEHHVSVV5RHxc9ZwjwCn/rUpypMRXmWT9jBHVGwVu8SwSiZ43vf+94qjRgokmmm8eJdd91VW+zddtvN11vOK6xNx01xBqkw+uMf/9iYvqsEbcrY1TtHyacJ81HyHuezJeOk7ftnq8+0Leekp5+JPiXnuVTjW6K7O4HkX//6V++BD3ygz1e2QO4kT8ukDIHbb7+9ak9x4it7KJHqyiuv9PnstNNOibv9l8bRh/rfYL+mBQFRbPf4m0maiXlyJuszyrvkvMVq/P/2t7/NZmWYZaGxGw0IDLO+N/W3tvx+U34NVbDbhoAhMIsIsN2DkSFgCIwRgR122MEzg2boGiPIE5S1Gbr+vzFC440cdJ9toRJDUviwREtVwtUHP/jB8Fb1faYNXfpiiSSryvac5zxHLzd+hliZoasRrqIEk2bo+stf/tITr2PfPyQysKgO056IOst2nr7Ok2roalvGaW+T2Sy/GbpmE/3Zf/c4jBRf/vKXqzXXDF0z28ZdGbre9KY3+TY0Q9fMtp+9zRAYBYFSQ9co77Bn5zcCXa/vxu/P7/5ktZ9/CJihaw62uWyT1Pv973/fWc2IVpCtuXp8yr62jfmSRrbh6nXtkf3Xv/61J1vfNL6/JAF5oXQpqU9JfjmMfv7zn/voDqI8Jt3QBRaU929/+1tJlYvS/OlPf/I4d+F1989//rOHwQSshyE5L6r3s5/9rNeFMoQ8cnkNa+jCa0i2D+p15T1EfRm3zAdNdYb507RdtBXGGlVwP/OZz6xtrraGrksuuaRSbMlWZ8m8Z8vQBc5an0c+8pHJsqUuzoahi7Iy3mXboFSR+q7Jlnu9H//4x706r82+B2p+dL0+yPaRPdk+cuCNoxi6yC+V58BL7rlQqsB/+ctfXvXdb3/727ns5sz1ULHdhaGLNmHt7pLalrHu3Tk+IPeMbHfqeRrm6pmiO++8s/eTn/ykx+eoBJ/561//umgO4V3hOJHtLAdeT5nazjHDRnSNg98ZqNAsXGg7dw1bRNqeNQG+rJTCsZaK6GJst21/eACN8m7ic+Jy0gd4n5wv2Lm8Er+r6Td8N/JN2zrU5UsUfJt1LJcX639KXurC0MUcuMUWW3Rm6BqmD+XqPVNjSd9P2yMD0A9K5+euy8h4QG5rIvhGZAvWEtpwFJqNdZDygzWyz0xRV2vvMHPvsHVkjqQ/pvQC4zB0gRHtwnwzSr/qalx00TcZ18zFrJcpHEvbpmu9Vd17x8EfDaMPGmV9T9Uv5EFKZJJUHiXXutDndDUWSspraQyBuYqAndGV3NBxsi9eeOGF7phjjnFrrLGG4zBy6Nxzz3UiOLrrrrvOCaPqr6255pp+3/PnP//5jkOm62iXXXbx5+Bw9oN41fmksiA4URg7YTiqR9nbljNkYpLF23EGzXe+8x1/KD1nkUCUYaONNvJ5Srhw/Fjfb/Z7F6W4v8Ze2JyZI9ufuQ996EO+XmJY8AdOL1iwwOdJOZ73vOf15VH34/rrr3fve9/7HGdmiYLX57Xsssu6Bz/4wf5sIPKqOwi5DUaylYo77bTT3HnnnedkwfPFotwrrrhiXxE5P4g6C8Por3NGUek5Xi984QvdDTfc4MtM+6+11lp9eZf8EKOGe/e73+0uv/xyfwYS7QYGYqRwm2yyiT8LRBT32ay0L3K+0uc+9zmf7hvf+IYTJbPvC7QZxLkJstWckygXR39cfPHF/fWmf+LN4892YT92YbadMF/+kSWXXNJtuummvi+SX45k+zh/hsz3v/99/7xM5I5nN9hgA18/9hhfffXVc4/3XRemw59hIdusOPKjXZdYYgm34YYbukc96lGOvJZffnn3xCc+0Z/ZtN566zlhpPryiH+IwOLzvPbaa/24EYbYY8VZBSL8+zOj6KM5Ek9Yd/HFF7snP/nJ7qijjvLJrr76anf88cc7zn1SYo/rY489Vn/6T9rp/e9/vyO9KFqre+x5z9h70pOe5CQa0T32sY9tfe7FW9/6Vt+vyPTUU0+t5pTqJcEXPQOL/kZdmoi+sM022/hkzAHMSTGFZ3SdeeaZbtttt42TFP9uWz7KRhmhm2++2a2wwgqN73rRi17kLrjgAp9ODCBDjeXUS+L+wXinPRjvzK306eWWW8497GEPc5tttpl7yUte4pZeeukqq4997GMO/KiHEn38EY94hD+TibmzhLpYH8L30HdPP/10P5dz/hXE/Ec9nv3sZ7vtttvOr4fMkVBTHyQN5x3xx/qgayjzGuOb9uFsrRwxN4mB299mHWF9ThHrs66fz3jGM5xsZ5hKNtQ12pOz4aDdd9+9WlNSmTEvsvc8BG6sUzmi7ZhfmDvpI4wtJV0TWe/oK0rkT/uE8x/z7FJLLaVJ/Ochhxzi9t577+paeEYXY4i+xhl/X//6131/hUeAVlppJT+HH3rooY28TZV59GXYMmqdh+GVmGc5g4Y/UXr4fqZr2iqrrOLXNM4J5LyaHOmY5v4Xv/hFB18RUshHffKTn/TrLjwccz3rDGOZeYB1Hh6SscI7eX8TMTY4a401gz4vRg7/COs56/uee+7p13fW2BSF44S25gxH1lKJzHXwZ5x1SNlWW201f57j05/+dD+eU3nptbDP3Hjjjb5v6L34c1R+J85Pf8/G2NN38znK3BX2l6Z5g/H8zne+069vzAtKtFe4buh1+tg3v/lN/enP0lFe94wzzvDzCmsR4wEMxZHJ83icUQnfyXmUeg5PlYl8gfeCx6TfiJGqugXfGhPyQ7hOwWOBF+9njuG3EvwcvJdso+z/mPvHRWIgdoxPcdzxMpYoAf2rFl10US83wX818ac6F4T8H/Mwcxt4coYoRNusv/76jrFC2hLizNATTjjBj0tRPPt2Ya6BT4PHOeCAA5w4M/rf5LfPPvs4ceYrydqngff98Ic/7D7ykY/4c1i5CP7IjCFRduqjFJ7RNUof0vziz1HGUpxX6rfKTIwZ5fkUa8YBcxSEjBLWO8xrlDKG413XB/gS+Lxvfetb7uciGzNu73//+3s+D7k91B+wlpx00kmOeqjcQJ9de+21vXwHz9V0Tl4X66DiCC6c14vcFZOu1bJ1uoPfgt+Ff7nmmmt8v9byI5fD08IThXNFnJ+ON67P9No76twb16XpN/0BnRJrPnM9bQyfB48N38Y8yTnEpIPoQ/TpkMK+Vre2wAshxyH/MaeEBF+CngRZlDkReSVHo4wLzbOLvklezOdgw3wlRq5Kd8E96oD+gjqx1sRzHmmURtVbaT4ln6PyRzomR9UHDbu+1/W3Ufn9WMZJ4TmqPoc8uxoLqfLZNUNgPiJghq4pbHVl9GFGEfIQHGFIcgSDgiIDJSbPpOjRj360E+88b2QRD1lv4DruuOMGkmJ44BD0kFD8I0DxfB1hQEMBj/IqRaESBOUWQi+MpSqCUs+gNMTAVsf88BzC1BFHHNEn1Mb5bb311p6Bj5k1TdcGI94VCviaR/yJwIiwhqEE5SoMN8ooBL46QkjmGVU+IiC1JfJAKME4mSNwxUCSM1JqX+R5FGj0Q5hfFdZS+XJoMAIeysocoUATj+8+5Wkq7WMe85ikkhaBhuc/+tGPph6rrq288sq+/6DsqyOEOwxqKOVyhCIBwZ3xg7GiydCFshAFunie5bJ06667rleGI1ykSJV8KOFRQDIWUTaGyhueYxyFBkGJLPFKllSe4TUU0wiF4NSG1NiDApQ5Kqf4JE/qSHlLDV0w0wceeKAvDlinDMOzaehCkYTCFVJlvf9R829chi7tHyjswE0ix7yAnisKBkHmI9aMI4880isSc2lRZrz97W/Pzg36XFfrg+b3nve8x7E2cYB9iljj6BOMGcYCVGfoEo9N98Y3vtEbVFL5cY08mStRmKSM9OHaVWfoIi/mLARf1kE5Y84fps71UUn2svdGOeqDcwkK1Bxpv9D7CIEo1lLEmo/CGQJXxpySrokoh77yla/oZa/0Ym1qInCnTyppucAb5SqGEBTadcTaJOfj1SVJ3kMxN0wZtc6KBc5AJbwS4wAcVbmWLJRcpO6MPRTJKVKMuJcy7IR9EUMAxizeK9Fmqez8NfoiShn6Zo6e+9zn9rVxLh3GhpQSkPRh2cBv44039mugOkal8tx11109vhg/UtSEhz7TBb+jecWfszH2KMNMzV3w4Mx/F110ka86fVSiqDzfDW9E/WMiDcZtDC5KIb/IuJZoEK9czs3lPMfcggIzNOjixKNOcZp37pMyK/+Ewpb+FDpu5J5DEcmaOQ5iDcMoVCfb8F76PHwdDgYp0r7P+o6SmDGFg2Idyba53gmvLs2ll17qldl//vOfs8nIh/Vf5cG2hi4MpieeeGI2f70BBsiCSl31Ic1PP7sYS5pX3aeWHz4CR0CMkTvuuKPnCcLnUILjLBJSF2UM52DWB2Q8eBZ1Wgjfx3dkUfogDm/w8jgSqSNQnJbf8B44PeZ4/q7WQcWRd+YccHWtfsELXuD1H6yDGGRyhJMfPMkkrb1dzb25OsfX4U8wsKvjanyf3/ALOA0jw8L/QClDV9jXcnwx7cj7Sngx5HmMXTF1MS7Is6u+yfrCOhM6g8Rl1t/Ifm94wxv0Z99nF3qrvgxrfnTBH4VjchR90LDre11/G5Xfj2WcGMou9DldjIW4XPbbEJjvCJihawp7QLiY4EXO4owygwUTZRUTOl4BGFpQWqoQiRcOXsgpUoZw//3390IhAhRKbiKMZAsub4BBOQejGDKwCFconWHGEGzxzn7c4x7nhVPZEsAr8hBo8UqB8NJEcZZSWoSLFPVisUMYQMBG6MSjAqEAQxBMlnr+UD71jEvVLYwuQThHyY/HNIIzimg8PvEqhVC2I9yi6I2pDUYIMBJm7r3jeB+EQi70Xucahi0MJCjKlGHEyx/vszpCUMaLDcJ4GOdb9yz3YGq23377CkOEF4yGlAUhBs8+hFgVfsCI9DGFfRHjBspOIlhQXiJ84xUIDijkMEiqgISXLt6iKaK/IuShBIbwDgI78qNvE8FBu33pS1/yAlpcd57HE5xoN4h+gxCOUo288BrHEMXYUIMcSgfSpAgFIR6N9GeIvgleeACi4EH4QyhAuYdBiAgsPDTrDF2MAQxPvJ9xhvIYQZL6oeD9whe+4D4sRjOIsUIEC2M8JlV0wITRJxivMNe0FeVcV4xItDUecZQHQumvESekQQBh3mA8gC1lJ4KC+mAAzLVTXBb9jScb4wvBpWls8gxlbGPoAjfwQShFmU/dY5otQxfzIJ6O9Av6At6QJTRuQxfzKPPXFVdc4b2xmV/AjTmbccYcgjccxHii7c4++2zvaUiUEMosvA7x9kXpoQpAvC3JM+e80OX6QNnCeZJxw5qGch7lOuOGutD2jFWUm7ru5AxdtBdev8wHEBjRv5hr8CrUeQtlLoQCRCMn/YV7/oVrV06g1/SUGcUtRD+ui97RZ0o/MewxdmlX+l7KmYA5h3VO5zPyVqNN6j3Ul+hkKFQa81vXxFgIxDhOH8LxAWUaRD6qcPYX5B/tFnqz6nyGEZU5Cy9m1iT4DsYVkabMZ8yHtCkKDgh+AGVhGxq2jFrntrwS8zJrBsT6tNVWW/n1EWMATkJgpfwafRvjYyqaWjEinyZDF7wY/BJ9GUMVY0XXAYwMYKiKP/BlXcp547MO4MnP2MDIQJuzvjN3sx4zh5AnROR2yvgXjhP6AuWH14KHhMejDPB1XAcL5huItZGo9RQ14cEzXfE7qffrtZkeezM5d4U8A+MMxxmNhGecw+Pj3EUf5zptBS8TO2yF/CJOFfS3En6Rvgsfr8R71OkI3g0lE8ROEPAFIaF416h4eDyNknnWs57l+zHlZH1k/WMNga/E0EN/Rlk5DmLN3GOPPTxPB2/LvMBYopzIDijutZyMM3ix1LjUvk/54eWY+5kv99tvPz/Oc/Mla2Subsy5jF/6F0S/hg9k3OOUBb/L2GTMc02jMNsausAbmRLifSjYqWvYztyjPeEjlbrqQ5ofn12NpTDP3Pew/Mi4rCMohVmTGRP0VwyMRFqzRih1VcZwDqbP4OiITA9fAi/Cmky7IFPDA0KMUWQGHDCYn+mz9AnWEtYW1hDWB5XJcQjCsTZFXa2DIY5Nhi7GBDw5dQdjZF3KTr3g7eDHNKodLBj/k7L2djX3ptoidQ0ZEt4IIkob/QvjDx6fsY6+ifEPIRewVkPDGLroe8xD8KTgjRyEAy+yE3IkfBG8OXwncr3ytv6F9/zralyQXRd9kzxwPEXXgeyOLgTdCPI7Y4WxxXiH96f+rAXM0zF1pbeK80397oo/CsfkKPqgYdf3cG6L5bBR+f1Yxglx7EKf08VYCMtk3w0BQ+AeBERIMZoyBMI9ZtmbXpjO7J7aIiz1hMnz+5+Lwr/HeSYpEubCpxHG15+tw6coDVNJq2uiZOqJAsI/J4rynkz21b3wiyzuPfHM9ukorwiQ4e3quzCcVRrSifDXE2G2uh9+EQVIT4wPVfrcu0knjLtPJwxccj9uYZT6yge+KRoGIzCkLvyJQJ7K1l+TBbonArdPJ0aUbDq9IV5NPi1tyr7NbUk8qKpyiZEm+bgYS6u+Iwqz5NlRcV8UBV72TABhXHsiSPn3CmPn9+BOvVi8tqqy0WbsA9+GZOuW6nkRIrN7Ygvj0xPlmk8rTEz2jIY3v/nNVX4iDGbPUBDvyyod7S3MbrLYohis+i54iPCQTCfCV5WfGMKSabjOu0RB6McLnxLdl0yrF8UT1z8jgmq2LqQVwaLH2QxtSYwbVblFIdb4uAg4Pr1s4VCbVgSEngjQVd5i6M2mF6NxlU4UV9l0JTdKy0deovCr3ivbqpVk79OIMFQ9Jwqg4ueaEmr/0DlIFNXJR0RB0WMMaDo+xQCUXVfCvflFEE/m2fX6wLkEzHeUTQTsnhjjk++ln4gyo68uuTEhitEqnXjyJs8aYn4Vw7tPx1rCmRQxhWuXbH8T3+77LQbs6p2ioOm7N+oP2kLbUAwnyexEWeDTsN6IUdN/Z07Ika414igwgI+uiaRJkRjIqvKIAjWVpO9a3F8lEr0nCqq+NPpDlIRV3vArw1LbMmqd2/BKWjbKLEK8/hz4FGeFqk65+S3EiHEbU9gX6QusMRJVEyfzv5nj4Te0z8hWVsl0XOTMCzEcZ++zVoiy1ufF+i5R1QNp47Kx/ubyhF8Qg1pVNnjZFDXhwTNd8Tup9+u1mR57MzV30V/FGcW3gzjQ9EQpqVXu+5RdGKq2omwpivlFUThn+buQX2SuEgecVJY9eDztv/BWOaIeymPLrgO5ZP66OHjV8ka1DxfcROa47LLLsliShRh/qnqJ4j2Za9j3wQA5i3U3ReF8KQbvVBJ/TflDxrA4uCXTMbbFAaYqH+8WZ4lk2pKLynvIrh+NycfRh7oaS42FlwRh+VWGFSNSbV8g367KGM/ByHbIySlCVtexpZ85eTGUtdEHsLbkqIt1MMQxx+voWq1l55kcSYRhVdcc7x6Ot5lYe7uce3P1Dq+Lo2qFATw0a36KxIm6RxsrrnyKYWcgadjXUnyxytbw1U1yfk7P0dW40MKP2jdDDHP9Ut+Vq1M4lkbVW+m76j674o/CMUmf6EIfVLq+U7+m/kaaYfn9nIzTlT6ni7FA/YwMAUOgHwG8bo2mDIFwMUEYEc+62hqEDByTaYpChlA8C/3ho6l04bVQsJetg8JbA98R7MQ7zTNGsnVdL6XMDRcpFkkUgnUUCm45RZ0KYyirMdzkSDzoKsYN5UtKmB8Go1JDF+VSpSPCOMraHIV5YnhpS7INSE88tXxbiEdo7ePipVcxs6n2CPsibSZeXbX5yXlgVX4pA4R4dVbGJ/G4yyracy9B2Sae4v4dKMObDDVyxl1VHtk+YCBblOuUg7qhMMwpEfRBGDvS8pczdIWGOPGA0keTn+Lt5vPKjfNQ8OKdOYV+mDnjj7Q8Ow7CuKUYiNda4yvUkCSerD36Y/jH+BXP6x5MpiqpMICLp2ltvqGhC2WaeDg3/uUUaVq+JkOcRIVWcwiCW055kCr4TBi6UMzXKR9ki9Kq3Wi/nAKa8lM3bWOMXinqen1QQYD3ynlDqVdW11AMavn4TI0LHDBQ+HFfzsOrHdvidVnlJ9En1Xv0S7h2pQR6TceneHNWeUmEWHhr5O9h3hK9ncxPjcXicVkp3ZhfxKtzID2OMdwDI/G2Hbiva2JOCGwrVIbzGfMtCuc60jWT8rF2DENty6h15p2lvFJpuTDqqWOObLeUfCzEqETZJtFuyXz0IkYw6sKfbPerl4f6lCiuKq+Uk1I4TnhfU9kkuqXqfzkerwmPLvmdOlBmcuzN5NwlnsZVm8pWSlkIUPho383xFjG/KNGG2fy4EfKLOWe2UkUY79J+LlHJte+dhJvwE1peiYpNFins+xiZ28yXKd44VNJKFG3ynXoRmUkdTyjnbBm6Ru1DXY4lxabuMx4DJbh1WcZ4Dq5zbkARr/wvbdzUJ8L+KNE4dTDU3itZB0MccwaFcK2WqNDad2K8RWaknjleP6zfTKy9Xc69tZW/56YaucFAdkSpfQRHHNLp3zCGLjXmy9aste/K3exyXOTeEV9v6puhs1IbGTB8T5d6qzDf1Pcu+aNwTNIvRtUHUd7S9Z204dyWk8OG5fdzMk5X+pxRxwL1NzIEDIFBBMzQNYjJxF8JFxPZVqKxvDBkKpBgxElRyBBi3CghjeYiYky2QWp8JIx2QCESU7hI4S2U8+QOnwsZs9iQhTeSKulQJDfRwQcfXDFtKQZlGIxCo1RdRBdlCyNhZJu/bHFDQwLCcFtCsFLmFCanjohe0LQp5UXYF+Ww2bqs/D28WDU/GI6Ywj4i22TEtxt/h8/nIgfDTDBo4tFImVDSxH0Oj1Ytb1P7kS8KdU2fM3RxnTSMRQzAdRRGt6WUM6Hghfd7CWH40ffnIjxL8smlka0uKgxSys74uVCQVuxyn6985SuTnoNxnqGhK5dXfD1XVi0f/QRFkP7Jtok9mFz6GV53mh/K75xSLi6n/p4JQxeGpzqS7aaqOsj2VHVJ/T01mObGfdfrA4YPMGYta1pvQscKnkkZusKxKucTNdaX8UpeKaE8XLtyApa+AIOM9pWc8l7Ttv2k3mrox7EkJu5rPTDsY9zVsqQcGUKMUkZ5XRNzQmBboTKcz2Tr3Lj4A79le5eq/Ky1w1DbMmqdwa2UV2pTLgzS5I1HdYr+r73zgLeuqO72vPRehJdi+WKJMTEGxYIlIihKCSj6qogQRVQwKgZEEQsgKiiIGohiiYJCBDURJCgQiRGkiFixRMUCKhrRQExiEo2Jnm89o2u7zr67nrPvee+59z+/373nnL1nT3mm7rVmzURGbcI25mZtCkDGPJ8nIVSYxsXxl/lM2cV2Qv/R1o553gUAMCnP8bjfxmPI+Q7x1blZtr3YLhe772JRifcRWIM2Oa+7WMBWuThf7DJfaZsvEkdXQRiKHVfE8d7UZP1VlfZZX0NR4NxtW8jK6GPdZ0Fjm2vrL1l44XF2scCNbauLwqYufZNadA1Rh4ZsS3X5i9djG7CtH2t3kojPDJnG2AcTP8qCJufvR9QL2mOTi0J+FqJO47wvqRsHI8cuiq4u6WHeSz6pj1UutrdZjL1D9r1V+YnXWDDtbb+LZSULo3zBLM9NouiKi+u6lE9ML9+HbBflsJt+N9VNLM+dY5c+uRzP0HKrcvjl37EPX2ryINLadXzHb+zb6t7DJp3v173jDCXPmbYtkH85ERCBhQSk6FrIZMlfiRO8ritwsYrwwbdqS5kovGGwaHNMjt3CAkFEF8fqME9D1Ur2OEjVragqx4MlmYdZ3toG83q/x+DW5lBkuH+E2WXXlxHP91F08eK988475zRgaYDgpOywyHA/dlZIo4VG+Vn/7dsB8ZJTFYf74xMLJheCVQllY13sopiy/f0LxlXb2sWtMthasK+LZdi20tPDJt1e7mVlB+3L73UJD0s891+l6KKM/eWgi1ARYYOHx/YmZRdfvCiLLi62Gep0VV3vEk6dHzt7okhz3dYX8VlXJKHctrPbxv7YVostFlmt7PWQfgdBFdt91rmo6GKCSp1v+6tSbhO+p8/LoemTdLWtYqtK8ywUXW3lbOceFeXWZulJHvxlr6qeDz0+IKR07l3HGzsbsXiGF+Kye8Mb3lDc76Ik4eWfNFAPyyvn49hV94IV4/etwGA4tLOzMYp8ldufnXdQ3HOLWjsLK1+rWjQTtxyu2lrGx8S6l8C+L5WxP7NzaVrRxG0g+yqXPfC+afQ8Uxe6zJU8nq6fbhVcVzciozZhG1vNdXGuRK5TUHQJAz/RkrJq+7rYTrAo7OKiZWh5jsfzbTyGnO+0pXdWbW+WfRcLbLzvrVJeRiZsb4rfqr4Ef0PPFwmzjyAsvgdRL8rzPcJbKo65t3Nna6kqF+v+EP0l713EyWKStncD0hMV22tD0TXEO8eQbamqjMrXYhug/Lq4IdMY++Cqd7pyetjC2uth05yb52J9qJpzlcNu+t02DkaOXRRdddvExTRgre95rVogEtvbLMbeIfvemM+q78wHPe8oLLs4X8zGc5MoulBu+XsdCwSxXC0vNm1Kx5Dtoime8r2musl2k24ZCBd2UKhiUw7Tfw8tt/Jw6z6HnB/FNjlE30ya+4zvsW+rew+bdL5f9Y4zpDxn2rZQV766LgIrncAqAOjAsvkiEA98NEF8si1uWjNgQr9kWxRkfxw2zEGs0fkB6xyCbqs68gHh8X75u62sLQ7Kte2D8sHNZT9Vv22lVD7w0yYC+SDq6CceJGkvXMUh9tFP+btNrJPtp50vm5IjcSCyO5skJrMAyT9tVVo+DNTvVX1ykLqZ6+dbpoRJz3rWs8a89WXEwxw6yqG9OJskJ3sZzN/r/pmiJ5kiIt+mnG1LrTGvJoxOHKKNI992hsnY/S4/zCIhH86+9dZbp9133731EduTPR8Wy8G95Ce6WBdtYpMPlY/3y99hbILxfJkD6HkmOg5E5mBgHIfQciBzH8dhthyijLMtmVrLHH828UknnngiX5Ods5VM2Je/8480XnLJJfl3l/Bs4pNMiJ3908Zoa9HZRCxRF3EckMzB003OVrwXh5KTLtIXnSkk8gHsXKOcONS8zZkAI9l2c/kAefdrZ3sl2jGHTFMvpnEmXE2mOMhBmPIoH/TeFB684MZh3CZIq/XK4eVm4ZYZmKIhbbbZZsnOBUnU57LjsHX6A5yteM8HUJf9dP3t6Wvzb9u6JNvOo81b5f1Ybyep95WB2sVYP+xFNh8eX+eXQ6YpfxzPmZKjzmu+bgqSRPmaZUYyy9Ixv0OPDxx8z+HGuK7jjVkNJ1N45mdMWJ5MUZW/+z/6Y7Niyz+5x6H3Tc5eRHK/iR9TquSDuN1/HLvKhyC7n/jJ4d6mOMoHfJO3IZ0pGHL5EaZt/ZVMUFUEb9s/JtsuLh8+zyHiHJZt1gJ5rF1vvfXyweIcOu6Ovoo+i3HbFKV+ufj0MbHuPv2V9/GMx973FwGUvsT6Sl9An9DkzKKyGFNN6VWMtU3PlO/1TaPnuetcqRwfv2+66abcdmxhRD5w3Sxrkwl4kgm3kwk6kgnl8uHsfC+7yIgyLPfXsS4y94BLm7PFM/nwdFN45UPSm/ybADDPAzgonvTTL5siOqef77YgJD9O2zMhylhQMW3MPei/29yFF16YTIGUvZXneFxs4zHkfKctrbNqe7PsuxiP9t9//5x12/UgmQCpEoNZhyYTfOZ7tvVSsnOwFviL80X6HbP+XuAnXmibL+KXebptkZwfo6+iH6tztt1esoU4xfxk1apVeT7GmGJC/9a5Sl24k163hWu5LcGO9sSfnU2W+wFbkFi8I5niMJlQd0E0se7DgPbb5Nr6S1NU5vhN6Jx412hzZuGXSBuOdy+fc7U9V77P+yB9Hm3VFCTl22O/h65DQ7alsYTW/Ijpt+2FE+88bW7INMY+uMt7NnNC5obrrLNOuvnmmxvbV+yrTVmSbKeDxqxNMw5GjnbWabKdKhbE5WM17wq2yHLB/fIF+jevf/jnuehie5vF2Dtk3xvzUfXddi9JZuWfb5XnjVX+uca4QBpxtsAvrV69On/3f7Gu1c2LmRcix3BR5DbbbJP7aFv0mN8tPKyqzyHbRTn8aeomciTkNPRpuA033DCZciz3lbaAqRzV2O+h5VZjgVf8GHJ+FNvkEPIgkttnfO9S3yad71e94wwtz5mmLVQUrS6JgAhAYKVr+uYx/3HVhAn1O2UhWspUrYr1VcpV2x1VRRBX//Qxz2ZVBKtcOPeovGLQBo1iRRGrYLq4aIWA6W90cZsOX6nU9fP000+PQeXvfRnxUB+LLvyzlZRbyrFPc9lxSC55YBWUCZnLt1t/x22KurJwf1gilV2si5x31ebYesjDM+XSAu++rR5xVZ2TtuCB0gVfkcoWNU3nEcXHWA3oaSqvZPPw+qQHSznCq7J0iVvxeJxdP7GUKjub6Bdp77MNIWxswpctpWL8bCdlLx2t5/6V0xF/28Q5p8mUZ/Fy7Xe3mIJ1F8e5X95GTFhauQVRtOhyy5UuYVf58fSxhQqM4x9t0Fexswq66Wy9qrD92iwsusrWPR63f8aVhG3bHPKMb2nD+VZlN/T4EMPrsqUd6WF1qNftqtXFvk2N++nzef31149lOY5ddSsJ4wM+DhInqwKHdJSz56VsCeBWePGsjTiG2iKDIinROrXOctzHxKrVjgTUd/Vk7M/a6ivhx61d2Up0Etc3jZ7nrnMlTxNWgGxFhNWUl0/T5xAWXVjkdXG+neVee+1V6525DFYbbIfYlG6/12bRZULD2rjijXg+XnmOh79YZ8qr7Iee78R0VX2fVdubdd/1yEc+Mpc5YyHnxpQdnH2LSVsYkue9ZT/8jvPF2NdU+eVa23wRP31WfOOf7TLZCpB0el3lkzbAluF95lGEN4mjnvDe5HOlmI6q7+V+3OOMdX/a/jJaTbPKv4vDIs7TuzYsuoaoQ0O2pS7MYhvo+v4+ZBrjXKXL+OAWH7yzt7m4/XVd2Qw1DkaObRZdu+66a1vS833OIfX6jGVO2cX2Vh5r8NuXLc+0jb1D9b3E1eTi7iW8C3RxnCPqvKqsliKPpnkxMqk4JyZMZByMKbwzl2VFnrYh2wVhDlU3CYttAJlnOx//xJLdFBq1lmtDy61IS50ben4U2+QQ8iDS3Wd871LfJp3vV73jDC3PIb+TtgWelRMBEVhIQBZdc6jvjKsmsP7xVfhNWWE1oL1YZS92oHSxOt6f8ZVPVasW3E/8xMoFaxccVko2AYy3a7+zwhiroA022CCxWpNVYu7iagxWw9hLp9+q/WTFs50Rk++bsDgdf/zxhV9WJ7FKCcfKsvJqo8JjxRcb1BasPu/LiGD7WnTxDCsjbbDLq4BYJbXFFltwOa/ytPNXskUcK2fdGiHf7PiP1aKs2sSZ8iaxoq+ro6xYhRtdrIt1q+qi/7YVulhtYOHACihWVPV1lBsr8dZff/28+pAVu22OlbBuvVeuy5Okh7JhhW6VRVdsN7Y9ZavFQky7KVLGLBa517bCMD5f9R0LAizB6BNMgFV4gRuWoqzKpq32cW4FQhmYIqj1URM4dbLoigGx2s+t5WxynexFNt5Oi2HRVWdxhpWZKeZz/FVWd2MJq/kxC4uuqhWoMTnRoot+lP60yTVZdMV6Xm5TTWHWjQ8xPOokFgNtLlr7Vll0edvGAoDVpn2cvXwlU6YXj8Sxq27lauHZvmDZRF+IFZm9nKUu/VR8vu27KWWTCSHHrILiWGQLOYpx0xYU5H4I61ETHGSLL8LHAhxLcBwrDaussdrGxL6rJ/v2Z20WCjnxLf/6prEtz1XRYQXFnMatnahz8MSq1wQg2fJ40003zRZ2zKWwlDKlQrbuKofXxqhvXST8NosuxghWu2MNjLOFBtmi34RR2eoaq7KNN9442XbDheVJm0VX1zle7JfKczzS0sRj6PkO8bW5WbS9WfddzMmYl2KxxzyQfoK5KNaf1DcTauU5D2ywGqV/rHJDzxeJo8+K75im2267LZEe+hDy4I52SB6on4vhsHbGytYE5Tl4GFKejCe0JywaSIMJIYtxqYtFV9v4TmRN/WVsKyZcz37b8k8/xTwWtzYsuoZ85xhiHtDGi/t92wDPzLq9E6c7t+jC+pvdXppcm0XXkONgF459x+ohLbq6zANh2Tb2DtX3NpUb96K8xBSHOV1tz8Sdgia16PI4TDyZbFFLfhe1bVjzLjJ+j/c7ZF3bb7+9X8qfQ7aLIetmTOQ3vvGNvBMJ7yOmPC1uMb/Dcq68C0sshyHkVkWEFV9in78U5UEkuc/43mXuO+R8P76XDiHP8SKapC34s/oUAREoEVio+9KVpU4grpqwgbJTcuN5JTZxWvCMr1KuWrWwwLNdYEW7r1Dps5LPrV2wxCi7uBrDthIp3678HfcEN6XWmB8sVjyNdSu+xh5o+dGXEcH1tejiGSxWPN2mgOBSdiZsKq7bJN8v9/70/aNZKTati3WxC+O2FbrPeMYzijyaIKJ38uL5UFUrzKoCjJYfMI7u6U9/epEe2/Ym3qr9zspHyq/KosuEzUV4JrCvDaPrjbYVhl3Dwd8Xv/jFvDreraXIA2dm9XXs++/1t2pVZDk8Vonjv6tFF8/bFoFFHJRf2S2GRVdd+rA8xNrL89x2FlY5rfyehUVX1QrUmJYhLbqGHh+om87XlHAx2bXf49k+VRZd9gJVhHn77bfXhtPlRhy7mlaueli2ZWmOm7ORFsPF1bluZYglHAyxdi33Zd6PYK3D+Wo4v4aVJys/q1zbmNh39aTHSTrb6ivpWZsWXV3nSqSTM4u8/tpWVY1WI6w+x+8QFl1d6iLpa1pVTr9AnSFNnKPIitO6Fdas4vV8tll0dZ3jmfC0CLM8xyPtbXVmyPkO8bW5WbS9tdF3YTGExZ+Xb/mT+U7bOVFDzxcpiz4rvqvKDut25txr1qwZy5stlqnyPtU15rS2bW2OB4sF20Z2VHVmMpE0WQd6Itrqvvvzz7b+Eit8ytUEyP5I4yfnkXo96PMeWA7UFljmcDgHs80NXYeGbEttaed+3/TzzJBp7DtXGdKia8hxsAvHtvkJbKMb0qJriLHX0zZE3+th1X3SF3lbvvTSS+u8jV035XbxTNX7dt+65oHbgooRlk3MNzxNzFFMMeNe8ueQ7WLIujmWyN/8wGLWtpEuzjYmX8yrOJspuqHlVjHsqu9Dzo+6tMmYhjZ5EH77jO9d6lvfd5KmPmRoeU5k49+7tgX3r08REIFxAtq6cJzHXPyKgwlbcHRxBx54YDFhsJUrCx5p6swXeLYLcUBhstPFYRbukxYUGmUXw0Rw3MXZKp8izLKAGYGMx1e1FWGX8KOfvox4dhJFF4JzW+WT087Ltzsf8HkZZdI0qfPtAVEwTLI9YIw31sUhFF22r3NRZrbPdYyq0/f44s9LeBdnq3eLOL/85S+PPYIyyutQl4PLOfDY/VcpuhBqIODAT9VWhGORd/gR89tFMNwhyBHcfYsz0tkmvCqH6VsY8Sxtus1NouiKW7HSB5TdLBVdxG1WB0W5w46D5Pu45aboin35EOMDiihvV4cddlgntLEvqVJ0sQ2ah1neirBTBMFTzG+bgAPBqiuTq/qIEOzEX+OWGq5wQFFLfpkLlJ2tTCxY2Lkr+baPQU0KibYxse9LZd/+rE1wW85n1e++aWzLczkOO3enYMvY2zbmurB5qSi67DzHIv12Nl05e2O/o3LZ6130ENtJ1zleDLM8xyPstjoz5Hwn5qXu+yza3trouxC4+IIOtjw77bTTRozDLDYzS75OW7AOPV+kDHxeTN827TawjBN2PlWu73xWCW/ryr3L9bgwz84BbnwkKpG6bF3YZf7X1l/6NmksxOji4qK8eVV0DdmWujDr2wYIc8g0xj64ba5C3EMpuoYeB7tw7DtWL1VF1xB9L2XZ5Hh/9/nw2Wef3eS1uGc7MBTPVPWVfetaEfBvvqDgi++TzOmjG6pdDF03YxrL33k3jAs17UzrMS9Dy63GAq/4MeT8qEubjEmYd0XX0PKcyKb8va0tlP3rtwiIwK8JSNE1hzUhDiZd9lJnT3q3MqlbQd53Qgg227oqT3Kw0qpSnpXRIjD3iVTV+UxxUtRVmcMKQA/TtqwbizKGZ9sbjt2b5MckjKKii8lNV+eCfJQiTHJRoPiZApzTNY2LgqHyaqK+4ca6OISiixXbXp5drRVjmuPqb5QdXRwTTY+zbIEUhWy27UtrcNHypE6I7fWIlVSU6zQulmUXQUfXuGyLrYLJSSed1PWx7C+m6fOf/3zrs5MouqJwq+oMrlkrusjkc57znIIZZ330cctN0UXehx4ffAzjXJM2ZQHxR2vMKkVX7Lv6nDNJ2GUXx5o24RFnwHh/Y1uTlIMa5DcvYC6w5cw9XpJcwY6ws+wYv90/i2ds29gijbY9VNl78dv7sjrrpqhEuuKKK4rn6r7EvqNLf9YmuK2LJ17vm8a2PMew+U7d8/JuO18uClyWiqKLcYz0M/9wa79yHv13VIq1Kbq6zvHiqvHyHI942+pMvD/tfMfz2fQ5i7Y3676LRWqu+K6yoG7iEe/FdA8xXyTsOBfou8Akps2/v/Wtby3aa5Vi1f1N8okyyPuCtnNwolJsVoqu2NZsa93WLEYrkCEUXfvtt19rnEPXoRjetPOA1sSbhxhflzZAmPGZadPYZ65C3EMpuoYeByOTOo59x+qlqOgaqu+lLJtcVKxXnQ9efpZFBW6JSZ+2GIou4iT/yK2Ig91Coot1YJp2MXTdjGms++4KPOblUX4W2+cQcqu6+P36kPOjWB51bdLj5bOvoqttfI/s6t7Dhp7vex8zhDwnsqn63tQWqvzrmgiIgO2JKwjzRyAOJgz+bZYmZ555ZvFyZWfJVGbYO+s6gVXVQ6ecckoRbpMwzJ/1g0NZzY4CqOziIEW+qrapic9EYTwrEVkpHx3b60RF2LQvrZMwQsBIXvjropT09LPdlK/6Z2COh/y2vSB7GHWfccUxE8e6bYjqno/XY10cYmJjeywXCj22Kmib2MS08B1FlQts7QyJ2i23/LnIospSxPbXLsqhS9uIgr46RVdsN1iTTePiJLWLYLhrXPGQ2q5Wox42W/54nW9rwzzTV9HF5NitHojnhz/8oUddfK4NRRdtlm3eSBN10M4nK9LT9mU5KrpiPR9ifLDzE4p61dbXMJb4dmuUR5WiC4WTv6izZR999aQujl11L1geNuOQtw+UUIvl3IqbsZGD4YmTMaVKIEEa/OBs+rnYr1cpFzzNbWOix0vcdk6oP1b72bc/G0LR1TeNbXkuZ+68884ryrutHcDI68ZSUXS5goNthJoc27LZ+Z9F+tsUXeSzbXxgPuDzoKo5HulpqzNxjJ92vtOU/3hvsdverPsut9yhT0XYMqmL/UpbH04cXQRhWJd5m5l2bkycKOQ9vMsuu4xLgzm2LfWw7Uyt2nCZk7uCAf+zUnTF/rRta23et3wxC2mcRtH18Ic/PHNh/tRWv4auQ0O2pdoCDTf6pp9Hh0xjn7kKcXs9ZKFRm4vvqYyr0Q09Dnbh2HesXoqKrqH63lgWVd9RXNmZZrkd0s+3zYejIp72XzWv7FvXqtLFNRTgxFG2Ah+qXQxdN+vyEa9Hq664lfjQcqsYZ9X3IedHXdpkTMPQ43uX+jb0fD++504rz4ls6r7XtYU6/7ouAiudgBRdc1gD4mDC4M/KkLqXAyxM/DwQVuRiHVTl+k4ICYOJjZ+5tdNOO42atoqLljF1L21xkCJfdrjjCEFHlWMrK9+KCb/ls5X8GV4m7ZDNPEkivPLWdO4vflZN2Lg/CSOeu8c97pHjJx19lBG+upLyRQlDPhF+TaOYIj24Zz/72Tk8wmQLlbYtX9gqMa46+nUo4ysNhxJckB7SxR9ny7WtIve0+GeceCAEqcvbLbfcMuKsOOJB2VKnmGB1m6enSVCJ4jUK1+sUXbRVrFI83iohvOfFP+vqZJuQz5+Pn3VtKvqJ1pe8vPZxn/3sZwteKHDaXB9FF9sqepnBr0o5SXxrQ9FFvH4OEmnDoqirW46KrqHHBzsIvRB677bbbqNbb721Ei/tPVrXURZ1bSyez4dwmhfnJoclWdV5XnHsalN0xRfccttifGCc4Q+hQ127b0qj3/Mxl3HHz+h8whOe4LcXfL7vfe/L7RbFgvcrnCfT5NrGxLgYhW1u2pzHS5l1GSujYPbyyy9vC77yft80tuW5HEnsDxnL6xzWr3H8WCqKrnh2BayqHG3O5yiUHX9dFF1NczwWW0SrzLo5Xpc6M9R8pyrvVddm0fZm2XfFdw76iUldDGeo+WJcyPfK0tZWMZ1Yz0eBYrwXvxOG1+HyIhq27vT+uc/CNQ8/zktId51jnulp4LPunalL3Y9xtPWXtGMXdqPY+PSnPx0fH/seV8aTxmkUXW7dQDgI9pvcYtShodpSU7r9Xt/0+3NDpbHPXIW4h1J0DT0OduHYd6xeioqumM9p+l6vR02f7Fri/c7hhx9e++7NPNnPEnX/VXPVtrrW5V0UhZsvIHzxi1+8IPlDtIsh6ybvJW0yC/pZP8v6YQ972II8DSm3WhB4xYWh5kexrs56fCdbbfUNP0PP94eS5wzRFsifnAiIwDgBKbrGeczFrziY+MHGCH95QaCzRBFy880354Pao+VDkwCu74TQQcWt4lCkse0HyiQGeg4Oveaaa0ZRiMuq4LqVQnGQ8nyx4p6Xs69//etZYcEEi1WWvgKQSRYHJzcpf8i3T8YQJKFIYVU9ig7CI71sf8YWbaxQPOiggzx7Y5+TMnKFFWlAaeKCUlZEkoY658oGJnm+bVffLdHqwsb6xBVwpIuVUh/4wAfyJIByo/6wOpaVTpynhoXK5z73uQXBxbo41MSGrTZdOUvaWMHC6jHqAMJPLBipA1hDcBht2VH3sErwMke4S3lT7xBUY6Fw/vnnj8XRtBKHVUeuLCVMlGewQBCH8g/lCyvxqVuUkyux6hRdpBdWnj4+mWgiyCNt8OfzE5/4RG5PWEJSB6pcX0EHYdBOYcJLDRNq3z6RNoRgByGL9xsosKteYKrS4teYxHvd2nnnnf1y7acruhB6Us7lP9LDVqf+wu3ceEHwtJcDjwIlGHGOV9sfdaLKefpQrLc5tq1yQRHp7Hq+Wewj6xYjtMVddb9P/aC9O1sEtW0O/vinL65zQ44PxBFXxGNpcvHFF4/oy6i7fNLO/dwAlGGenzpFF/2BnzuDXyxS3vGOd+S+j3rPVnK0deLBWpP7WCyWXRy7msZZntt///2LdJXLmq3VPM20h2lcPCjZFSgIJ+scFjluPeP9XZ2A1cNoGxPpH+lDPE+0ZdoIDmvd8lygT30ljDbBLX7aXN80tuW5HB8vwj6fgQN5pJ6Sf8YQxrNXmnCdMmJ+5PVxqSi64uHo1EnK0BeFUH7MO72tMa54WbcpuryfLM/xGOM5pyJa4zfN8brUmaHmO+Wyrfs9i7Y3y76LvsGtXylf5mf0+5Q7f7x/MD4feeSRI853qVt4txjzxSi4YuEdbQs2OOaSrtxCmMncB4UsZxIyr/MdA/BPOzzuuOOK+lulyGJ7LK/f5LWv413D+1bmdCzKIv2MX8xlOOvMlT7MYdkOifjq+uEudT+msUt/Ga0b4MV4yNyb9xXeXTjP0ucr9FE+P5pG0eWKYfLK+B2tiBkjmVO6W4w6NFRb8jQ2ffZNv4c1VBr7zFWI2+fd01p0DT0OduHYd6xeioquofper0dNn7SzhzzkIUUfx3jOeyh9KPdYbAZ330rQtzWm3Va9J7bVNRbRIHPh3Yx5dlxoRn940UUXFbIe5qZXX331guQP0S6GrJu8ezI+8h5AepHxkEYc871rr702y5h8HKnb6WAoudUCYBUXhpofdWmTMfouFl1dx3fCbatv+FmM+f4Q8pwh2gL5kxMBERgnIEXXOI+5+BUHEyYH/tLhA6cLtfw3n2xDEV8WyhntOyGMzyOY5oUoxleVhn322Se/XMZn4/c4SCFcQWnmgjfCrgpzzZo1C4RlMUy+M8lAOFlOY0xv/D60oouXtnLaERrwwouAoM6Rbt82iPSxl3OTYqwunLrrpMtXFcX8132nrpVdrItDKbqIg/MBuqQNJVCV44U8Ct08T+Vy4CWdlbXlbS/LYV511VXF5N7Dovz83BuusdUiFpQve9nLcltoUnQRPkoQnvHwmj6pu1Wur6CDMFwwEeNDwFpmU6fcrEpH+Zpv3UQcbP/Y5KrSE9NW/g5zLHboL+pcVHSVn6/7Xd4Ww8P29HVRdPEMCkuPA8GwC/Y9vKrP2IeXlR9V/rte61M/FkPRRTqHGh8Ii5eUqOxyzuW6i9ANIbzfr1N0ESYv8S94wQsKv/5M3ec0ii5e3r0+VSky4urUqnMsSW9Xh/CU7VtjPnihbXLlPhMFX5PrMm+IwlXSQr/J+Ec7pq+Mrk995bkY9qQWXeVw2tLYJc8xT3xne5g4VhAH/Wuc3yBIRNHpZwRV1Q/CamMU51FtSlfCw/k4tNdee/36QvjP2FiuF6TfFzPwnT8Wa7DIxBdJtCm6UAYNMcdr4+FZGWK+42G1fc6i7ZGGWfZdzO/KddjLvvyJIBRlZdkt1nwxbmtLWmhbvjjMLQHjqn1PL/nxvsiv8Unbq7IojSvfJ+1v4o4DHme5LaFEZPxypdcsFV2UGWdvlcfU8m/m3syz3cJ+GkUXCscoYIcL2wn7OxvCfneLVYeGaEuexqbPvumPYQ2Rxr7jw1CKLvIx5DjYhWPfsXopKrrgNkTfSzhdHPWDeYD3Tf4Z2z/fWRgb33UmVXR5+P5Jv+0WXH6NTxbY1Lkh2sVQdbPq3RNevGPH/PCdhbrMFarcUHKrqrCrrg0xP+rSJmPcXRRd+O8yvuOva98W3xsoh6Z3kq59yLTynLhzgteTSdoCHOREQAR+S0CKrt+ymJtvcTDxPekRGPDCEQUnDK6sCixvj1SV0a6dedWzXGM15FFHHZVfML2T9gEEgT+rVpoUbYQRByk/tJ3Vmfvuu++CcBEgswVUW5iE646BnBdHX40U08l3Vl0ff/zxtVswTsOIbYlYlVyOE2VOk4tndhxwwAFNXie655Mpzr+IE1lPJ9ee8pSnZIEiQuayi3VxSEUX8VC21AO2SGAi4mnyT+r7OeecU05S8RuhG/fJmz/jn6z8JV9N5yQUAf3mCwqIQw45ZGxlM+FhsYDVmyshfUuXNkUXwTJBxzKN+lwlROJln0nepZdeWk5O/t1VyBcfRgDJpKqKKfkhzleahUGbUBeHn+cAAEAASURBVDyGWf4e98EmrCbngn8vm/Inwg4EPyigUdh3KbOql41yuOXfQym6yKsLB4gDwVabW86KLvI+xPgQGZ577rkj2ld5vGM1eLRaciuEJkWXh8uLCmONC+qr6sfpp5+erbz8Gf+MY1eTcgFrBw+XsMoutuembaPKz9X9jgq8trGGMFi97+mDLdalTa7rmIiyM57f5HFgRR1dzH+VoDn65Xt8YZ1U8Oxhdk1j1zx7uP6JoL1q8QbzEQQebiXlCuelougi/ax4Pu200xYIoHyO+e53v7sQ2Hjf16ToYvx1Ac+0c7w+dWba+Y6XZZfPxW57MQ2L2Xcxr3HrOhRIT3rSk/JWqCg2/I8yYJtJV5jSvul7vU57WhdrvshKecbZ8hyWPoztBnGc34rlkFv8eh8UP2nbCFTxW+W87TNGEOckjnpP24iL2EgD8z+UPZyJ6vH7VsizVnSRLyy3qt696JdYoOALeJ75zGfmMWMaRRfxseUX/WAsD74j9I7j0GLVIdKAm6Yt/TqE5v99018V2jRp7DpX8Xi9P0fo2uaazujyZ4caB7tw9PaKHKSLW2qKriH73i75dz/0bVi3Rkt02iJ1gEUvLPzEcda6t9dJFF30MYwddXNu3lGxwEV+0sVN0y4If4i6yZjHrkHl/t058Um/irykbYEtaZpWbkUYXd2086MubTKmpauiq8v4Trh9+rbFmO9PI88Zui1EzvouAiuZwCoyn+TmioCtpEm2jVJOswnOkq2+KdJvAolkguC0wQYbJNv2Im244YbFvVl8sZefZNsnJlMKpNWrVyebwHROA8/ZS1ROpk1ukq1oL5JsA3Ayy5BkA0kys/C05ZZbFvcm+WIrEXN4pgxJ2267bU4r6V21atUkwXV+xiaDyayVkq1gTDvuuGMypUJjnCZASjbhzOGb8D7ZS0fnuPp6hDFpMwVH2mKLLTKX7bffPm2yySZ9gxrcP7xs24Rkq1zTNttsk3bYYYf81zUie4lO9tKQqJ8w5/lpHGHddNNNyVbiJhOmTBNU8awpEnMeTcCb7nCHO2T+pHO99dYr/Az5hb6C+mirZXO7Ik6bhOe2sO66604VFXXJhDbJtkLMbdVeVNJGG200VZh6eP4JTDM+VOWeOmxKNBbsJFOkDFLHCIs+0F7Ccnj0N9ttt13aaqutqpLQ65op3fO4Q1uwl+q09dZbjz1v24DleOlTzLqncWwYe3AOfthLfeZ68803p/XXXz+ZgnuwvnOo7M8ijfTvMKDumjIg97dDpX+xw6FfZ55mAoU8hprgK5flEPEStgl1km03l0wRNkh7a0rXUp7vNKW76d7QfRfzbVtQlGxLqWRbTSazfs9zhLo0EL8tuku2CC17sUU8yRbA1Xkf/DrzRNqWbTmbNt988zzXq+q3yRd5Yu5DO2Sey9yHOVCdw78p8vJtU/Yl226rzmun67BifkR6eU+jL9hss806PTtLT7QTxkJYMcZW8RwyPWb1nOfWvKMx9q6N91jyM3RbGpKRhzUPafS0lj/neRws52Uxfi+VvpdyMuvr/D6KPGfad8MqVvQxvNvTx9LukTnQHyMjQZbV103bLoaom6TBxxg+cZ6nSfv5WcqtluL8qOv43rW+LOZ8f1J5ztBtoSsL+ROB5UpAiq45LNmo6LLVh8lWh8xhLhYmOSq6Dj300GSrvRd6WmFX9txzz2SrpvJLu+1VnDbeeOMVRkDZnVcCCLxOPvnknHw7Wy6ZBd28ZkXpFoGpCVx33XUJASnOLIvTqaeeOhamrVrPgkQuvvSlL01mETJ2Xz9EQAREYJYE7OzSZNvY5cU2tuK40wIhs1jKCiYWNZgFYzIL21kmedHiMqv6xAI8nG3pmszaYdHiUsAiIAIrm4D63pVd/sq9CIiACIjA9ASk6Jqe4cxDkKJr5sjXSoRYwdg++Dnupz3tacm2Zlkr6VCkIjAJAdt+J68Gx5rOth9MV1xxxUSr8yaJW8+IwFIjgJILZRerVW27tmTbbI0l0bbeSyzwwNoJay8sjeVEQAREYG0R2H///XNfhBU843cXx0p2dl3AMm8Iy6cucc7CDztMoLQjb/TVciIgAiKwWATU9y4WWYUrAiIgAiKwUghI0TWHJS1F1xwWWs8kY768zz775C0D2Crg6quvzls99QxG3kVgrRK45ppr0oEHHpi3gWG7VTtrYq2mR5GLwNogYGeypCOPPDJHbWcdJTtvbkEysH7ECtLOQEhvectbFtzXBREQARGYJYE1a9YkLLnYZtTOjusUdVygxeIsFmktB8fOGTfccEN6/etfnw4++ODlkCXlQQREYIkSUN+7RAtGyRIBERABEZgbAlJ0zU1R/TahUnT9lsVy/cbLtJ8BwIT3zW9+83LNqvK1zAn4Smj2WseSxQ4XX+Y5VvZE4LcEOGvhEY94RD57YO+9905nnXXWb2+GbwhR2csfiwH28pcTAREQgbVJgLO2OJcL9573vCc95jGPaUwOZ7wecMABCStuzp36+Mc/nq25Gx+ak5tYtLEAbddddx3kLMg5ybaSKQIisBYIqO9dC9AVpQiIgAiIwLIiIEXXHBanFF1zWGgNSf7xj3+crr322rxV1Re/+MV0ySWXpC996Uv5CQ7J5myAHXbYoSEE3RKBpUvgF7/4Ra7fpJAtDO92t7st3cQqZSIwMAGEvl/72tdyqJzrssUWWwwcg4ITAREQgeEJfOc730mPe9zjspKeLVU5Z5PttO9yl7ukLbfcMm9PeNtttyXO1+XcKhRbKIPWW2+99K53vatVMTZ8ihWiCIiACMw/AfW981+GyoEIiIAIiMDaJSBF19rlP1HsUnRNhG3JPsTWMFhtlR2ChPe///1pp512Kt/SbxEQAREQAREQAREQARFYNAJYmj7zmc9MP/rRjzrFce973zsdc8wxac899+zkX55EQAREQAQWElDfu5CJroiACIiACIhAVwJSdHUltYT8SdG1hApjgKSw2v+II45IP/jBDxLWL2ztxvYonOmy1VZbDRCDghABERABERABERABERCBfgSw0rrsssvShRdemG655Zas9GJL1q233jqtXr06sfMA1tpPfvKT084779wvcPkWAREQARGoJKC+txKLLoqACIiACIhAKwEpuloRLT0Po9Eo/fKXv8wJW3fdddOqVauWXiInTBGTOtw666yT/yYMRo+JgAiIgAiIgAiIgAiIgAgMTID3kOX07jEwHgUnAiIgAotCQH3vomBVoCIgAiIgAsuMgBRdy6xAlR0REAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERWCkEpOhaKSWtfIqACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjAMiMgRdcyK1BlRwREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARWCgEpulZKSSufIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIrDMCEjRtcwKVNkRAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgZVCQIqulVLSyqcIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAILDMCUnQtswJVdkRABERABERABERABERABERABERABERABERABERABERABERgpRCQomullLTyKQIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIALLjIAUXcusQJUdERABERABERABERABERABERABERABERABERABERABERABEVgpBKToWiklrXyKgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwDIjIEXXMitQZUcEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEVgoBKbpWSkkrnyIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKwzAhI0bXMClTZEQEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREIGVQkCKrpVS0sqnCIhAZwLf/e5302c+85ns/6EPfWi6053u1PnZ5eDxc5/7XLr55ptzVh772MemDTfccDlkS3kQAREYkMBll12W/uu//ittscUWac899xwwZAUlAkuXQJwfPOQhD0l3vvOdFy2xtC/aGe53f/d30/3ud79Fi0sBi4AIiIAIiIAIiIAIiIAIiMC8E5Cia95LUOkXgQ4E/u///i/9wz/8Q1pvvfXSHnvskdZZZ50OT03n5ac//Wm65JJL0r3vfe+00047TReYPT3LPHzgAx9IRx99dE7zX/3VX6V99913QfpvueWW9IlPfCLz3HHHHRfcn+cLL3rRi9L73//+nIUbbrghrV69ep6zU6T9C1/4QvrmN7+Zy3PTTTctruuLCAxBYJZ91BDpnTaMhz3sYQmhPwJ4+kI5EVgJBD74wQ+mI488Mmf1bW97W3rc4x63aNn+3ve+l1hsgzv00EPTSSedtGhxKWAREAEREAEREAEREAEREAERmHcCUnTNeQl+6lOfSi972ctyLo499ti09957Fzn66le/mp7//OcXv8tfttxyyyygQkh1j3vcI3+/613vmlatWlX2utZ/f/GLX0xHHXVUTgcChsc//vFrPU3zlIC/+7u/S8973vNyks8+++y01157LXryqY/vfe97s3INBcMd7nCHqeKcZR66KLoe8YhHpG9/+9vpD//wD9Pll18+Vd6W2sPLUdH1ox/9KD3wgQ9Mv/rVr9Jhhx2WTjzxxKWGXemZcwKz7KOWAqohFF1N85QNNtgg7bDDDomFBHe84x0T1jO77LLLUsj6kkzDeeedl971rnf1Shvzv3e+8529nlnpnqXoWuk1QPkXAREQAREQAREQAREQARFYqgSk6FqqJdMhXWxp8uhHPzqx4vO+971v+shHPjJmqcP2Y31Xmj74wQ9Op556arrnPe/ZIQWz9XL44YdnCyG2Sfr4xz+ehV+zTcH8xnbaaael008/PWcABdSf//mfL3pm1qxZk66//vocz0UXXZQe9KAHVcY5Go3y9TYF6yzz0Kbo+p//+Z90r3vdK/3v//5v2mijjdKNN96YFXqVGZzDi8tR0XXttdemAw44IJfGrrvuWliszWHxrLgko5ykf2jrI9Y2mFn2UWs7r8Q/hKKr7zwFRReLXXbfffeZImCc4m8W1tDljFH/u8T75je/OZ1yyinlxxt/Y3GNtbdcdwJSdHVnJZ8iIAIiIAIiIAIiIAIiIAIiMEsCUnTNkvbAcb3kJS9JrOBdd91106WXXpruc5/7jMUQBUh/9Ed/lFBiufvlL3+Zvv/97+dzeNh6CIG9u/XXXz9b/yBMWkpn89x6661pt912S//5n/+ZsKY5//zzl7zg05mu7c+vf/3r6aCDDsp1BSXO3e9+90VPEsIgrA3/4A/+IH3oQx/KcZcjpR5SN1GsYg3R5GaZhzZFF+l8xStekdvfM5/5zHTCCSc0JX3u7i1HRRfbynHe2E033ZTe8IY35O9zVzArMMFf/vKXs6UyynmU9EvZzbKPWgochlZ0MVY84AEPKLL285//PP34xz9OWGN+4xvfyIombqLwPPfcc9OjHvWowu9if3nGM56RFULMl9gCeFaOrXNf9apXpfe973153tMUb1R0/fEf/3G2gmvyzz3OnzzmmGPavOl+ICBFV4ChryIgAiIgAiIgAiIgAiIgAiKwhAhI0bWECqNPUtgKbr/99suPPP3pT0+ve93rFjweFV3Pec5zaoXxKBu+9a1vZUuuj370o0U4CJ1QoLF90FJxnIfgZxSceeaZ2sKwR8FQzjgUo7NyKFBRnNY5tt584hOfmLeUa1N0Ecas8tBF0UV62vKHn3l0y1HR5eWwXMvM87fcPv/iL/4iKybnQdEF+1n1UUuhnIdWdDXNU5ij/OVf/mW64IILctbZChdLJLY2XGyHBS9b1P7sZz/LZ5LNUtH15Cc/OX3yk5/sreg655xzssX/YrNZieFL0bUSS115FgEREAEREAEREAEREAERmAcCUnTNQylVpPG5z31uuvjii/MdDoHnnIWy66rois997GMfS8cdd1y65ZZb8uUXvvCF6cUvfnH0sla//8d//EfaeeedEyu973e/++WtDNdqghT5VARe85rXpLe//e2dFV1TRdbj4a6Krh5BzpXX5azomquCUGLTn/zJnyTOaJwXRddKKrJZKrrgytaBLOxh62IcVrV+9mS+sEj//vEf/zHHS/CztOhivoPFM9aofS26pOhapMpgwUrRtXhsFbIIiIAIiIAIiIAIiIAIiIAITENAiq5p6K2lZ3/4wx/mQ9kRfjz0oQ/NL91VSZlE0UU43/72t9Mee+xRWKug/KpSpFXFOcQ1hFnkEWXW6tWr0+abbz4W7NFHH51QROBQ9sWtjsY8TvDjF7/4Rd4maZtttkmbbLLJBCGMP0IZoTRkBTh54TynNsdWTbjtttuuzevM7lMW//zP/5y3QuqShy4JgzX1jK3kHvjAB7ZuXdglzCo/nG/Ctpcbb7xx2nrrrau8LLi2GIou6gJbcMFy++23T5ttttmCeLtcwCKJbUfvfOc7N1rLtYVFOyMcmJTTMg+KLtJ/2223pZ/85Ce5bXUt2zYuTfd/8IMfZObTtE0vv0033TSne1bnTlH36Ifo24Zw//qv/5puv/32HB7s2/JBeXGeJPGX61tdelAqsAUbz06r6Prv//7vRPlxxiNpaLPKGXosqMtjvD5kP/vTn/40t4273OUurWUT01D+Tr/l/U2Z2awVXaTNrYD5jjUwVl5dHfUVxmzX18cdddRR6W//9m/zI5MquiapT3EcmidFF3WGtkbdaztbjLNmGZ9pl8yRpnH0E8RL3zrEeMD4wvyh3N9Po+jqO7+jz2Sejzv00EOLHQ2m4aRnRUAEREAEREAEREAEREAERGC5EpCiaw5Llm0K3/KWt+SUs5Xf4x73uMpcTKroIrDXvva1ia0BcU3KtOxhgn8oTRBS4RAgIbRHEMkZE+95z3sSK5ndcUYL2xS5u+GGG9K+++6bf+6///7prW99q9/q/YmQhS3z+GNrJIQQCDZwCEOxGuP8ClZV17lLLrkkCx8Q0riVHcqt0047LYeL0Ad3r3vdq1iJXg6LM6z4I68uCNl2220TB8VjvceZZNM4TyNhULaPfOQjx4KL5fE3f/M3WUCFQO8d73hHYpvMr371q3lVOcJslDSPecxjMpcmofmrX/3qdNlll+V42BITQRYO4RFlzBkrCB5xbI9Z3oIKxZSv3MdPWx7wg2PrsCuvvDIrQ//pn/4pC2m9DBCwo7TFCsDr0K+fGv8fBYyckVLl9wlPeEIW0N3jHvdI733ve8cD+M0vlDCsrCc8hMVet7hNWqhf++yzTz6DqJz/GCDMOFeKsrjxxhuzEhqhM2ebPfzhD89lgXCviyM9H/nIR3JdQxiOIJI83Pe+901HHHFEDvPlL395Tjfh0d4mEUD+6Z/+aVaa03YpuzZH/nxbMtpCFQ+URNw7++yzE+ch8dsddQgee++9d/6j7UQX6zjbgaEwLzuvs3vttVc68cQT823Klnr4+c9/Pv3Lv/xLvkbd/L3f+73EOYb4bXP//u//ntiCj/ZAOrwecAYiQtQqJdFhhx2WOP+tq/P2Qfu86KKL8mPwpKwpQ+9X4Ep/9qxnPSvtuuuujcF7HeesPR9n3v/+92flAv2Du7o2QrtjrLr66qvTV77ylXy+Inn9f//v/6Wddtopn+H3O7/zOx5M8UnZvvOd70wXXnhhQkGAo//YaqutCj98QQlGvXFXVX7XX399ev3rX58VJO6P85ZOPvlk/5k/hxwLCHBW/WzMBJZvWMgyjnznO9/JCkL6hd///d/P2/wiKK+qazEMvrNFH1yvu+669LWvfS2XAe2LNvWgBz0ooQhnAQrjCGdn0adiWT6J6ztPoU/180hJD9sX1jnaGX0Fi3WoU95+qUtsRYiijj6vantm6h1zk7POOiv3uR4Hdbfs3v3ud2fG8fo09Yn+5l3vetcYU/qJ8iIT0n7wwQcX0cYzuhbboqvc1mjrzEdp6/SV1CHGOMYVFrK84AUvyItNPLH0q6SRuYU76tT973//vM02dbaLYwx705velKhHjI2c4Yqjn6OM6bee9KQndQkq+7nmmmsye9oQCjjcjjvumPNx4IEH5rkPfSrbbOKa5uDZg/2bZn4nRZdT1KcIiIAIiIAIiIAIiIAIiIAItBOQoqud0ZLzgRUMQhvOPuLFHmFplesrQIphoHRCCOov+p/+9Kd7r4KO4ZW/x5d3lEwI/BHCRcUGz2y55ZZjghAP58EPfnBWHCAYQZkxyblTCPEOOeSQhECqySEYfOUrX5kQPFc5V4pQHjfffHMWpj32sY/N6Yv+UWggvIqOsz+OP/74dN5558XLY9+JH6HKS1/60okteDyNBFwllI7lgWAPYTlsXBE1lqDf/IA9girKosqhBGDlMw4ht6+w9jN3qp6J17Co++Y3v1lcassDHlGQInz1els8XPGlqjzcW5e4dtlll7x6HIEcW1uVHQK8NWvWJARxbQ5lJluGVjkE9dzHIqfO3fWud80KX4SKdY56joD6wx/+cJ2XLLxGUE6cbikxqaLL+ykUtgjg21xUrhE/yu/o4AjPKBiN9+P3qm1NYx2vWxnvdRYBOkqpY489NqHYaXJsrYdSps5de+216fDDD0//9m//lr1QrxGWI7CvK1MUaSiXUEZ1dV5n6S8YF1DkIZCtcyg4UeIjgK5TfngdhwMWVdSJU089dUGQKBI40zE6rHLptxiH6hyCcBROZUG0n0tU95xfp46hMHfn5cfCACxg6OOf+tSnjilE8YuQPrIdeiwgjln1s8SFg8MJJ5ywIK+/vvvr/7vvvns6/fTTGxXXKDBhg4KrzqHkZbECdeKzn/3sTBVd9AOuBEHhFc8VjellYQH1AQuwJocyhMUyZav1aDnW9Dz3OMs09r3T1if6PqyT2hxzhz/7sz8rvM1S0eVtjb4SJTvpqCsLEvjoRz86Kx3pd5hPMc+ocyzieOMb37igXyj7hzPpwIqryaHsQtnNnKXJsbiL/s3P2Sv7pZ+kL6Ss6VdwTYquIeZ3Xcatcjr1WwREQAREQAREQAREQAREQARWKgEpuuas5BGOshofIQhb9rkFUVU2plF0EV7cruf8889Pu+22W1U0E12LL+8IBFFwIVBm5ex+++2Xz+FiNTarqp/ylKcsiIOVzKySxf393/99o8XVgod/cwGBGauHccRJ/u52t7tlCwsEJwiJWQ2O0IOV1KSxyvrABcyEg3AMKwyE8VgsINxBkIaQm7xFhuQPiwkEhTiEyggYERyRb5RDrFR2ywkUbW5lkh/o8S+msU0Ayyp3LIdIA+ehoMhyISDbWiLYQfmBw4IGIXd5SyvuuSCM71HRhUULQkgcVj8oYBBcYqkYHcrLuC1lWx78WZQhn/nMZ7IVHEoI0o5iAaUdChQsFdxiEMHW4x//eH+0+OwSlysBqhRd1C2E7VjRoNhACIhQHgUiXMk/dYS6SztFGVK1nRZsqROslqcOIlh+yEMekpVAbPnI8wicccTDanTiqHLkEy44tpRCCQFfhH9YZSA0pL7jUFpQZrilouh62tOeVijC6ROwCPXtG6lT8MC644orrshCTepBdLHPaVN0obTGkvWqq67KlltYAFGPKCMUOHCmHSDIxCFgLsfH9ah4xfoRpQ59jSuW6GdQ8FHOOM5DRMEcLVjzjQ7/Yp0l7ZQndQElKdaksMJq9ZOf/GTRrxEsfSlKtSrndZw+DeEubZp6SF2i7mBhRV0mzXHBBYz23HPPxPaGOCwhsIpEQUKbYOEEgmwWVOCwiMG/OxZywA6rJM6JxKEMi9YrXCN+wnTnfQ5t0ts2bZGwYYJCmLRhCeZ9Gs8uxlgwq36W9Ecr7zve8Y6ZGfMELJdgCV8sbXCMSygmqraUo49kgQsWiDiYUXaMk2z5hwIVRTkKDeoo1mJYL8NyVhZdcV5DnYJz2dGu6G8pVxzjLu2OsZhxhb6XNueWpiiWmU9Ey22edWXfKaeckscOwmLxRnlhDeFGi9pp6xP9NHM85iCuEGLsj8o00sK4Fi1f14aii76SfoIxDOZY2dP+6ONYhISCif4ZR/slX8wnSffzn//8PNbwnbaOctrLhP6SMOuUUyxEYAEB8yjiImzmLsRN/SVuLPJ8kQVzN8qccbLKoeDyxR30cfSLzH1gzNhCePAlbMrBw61TdA01v+syblXlR9dEQAREQAREQAREQAREQAREYEUSsJdOuTkiYC/3IxNk5T9bld6YclOgFH5f9apXNfqtunnGGWcUz5slUpWXia+Z8qYI2wRr+ftBBx00MsFopzBNuF88b4KuTs9UeTLF1MiEUlW38jUTlhbx2FZUlf5MQVf48bycdNJJI1NOVPr3iyYwK56zldkjU6j5reLThL0jszzK/kzgMjJFU3Gvz5eYRhOeLXg0lgf1ywR+I9t+aIE/LpBOE34WabetDiv9mVKm8FNXriaUyn5sxXVlGPFiWx7crwkxRybo9J8LPk2JV6TLhJ8L7nOhS1y2hVcO51GPetSCMMzCq4ijind8gDKucrYt38jrE+VhyqgqbyMT0BZxwbzKxfSY8nVklkRV3kamBBmZUqQIj7pgiolKv20X4cLzJlhv85rvm7KliNeE52PP0EZNUZPvm2Jo7F75hylPRrAru1jHX/GKV5Rv59+xzpL2l7zkJSNTZlX6pe/AD38mEK30YwqIwo9ZfVT6IXxTKGR/poAZmYC00l/bxVhnSZMphka2MKLyMVPaj0xBlOO0bStHtqVbpT+v46SP/odPE/hW+o0XzXKwyLcpRuKt4rsp3Yo0mIB6ZArg4p5/IS5nbMoGv1z76eVnCviRKWdGfJrFcK3/eGPosaCq3cc6SL6G6GdNQZDLhvBMATkyQXzMVv5OnaIuO0vqSpV7zWteU/gxQX9lO+I55gMeFp+m1K8KrtO1vvMUs1Qs4q4be0yBUvgxC7baNvXXf/3XBTtTVNem1xS9RXhVfUvVg0PUJ7MULeI1RWJVNGPXTFFT+Del/9i9oX94W/N6AOcqx9jv47z7tQU+tX1TLF9TIlUFmftkW/CR88p4ZQqsSn/0KbHem9Kt0p9tDTyiHyR9tshjZIr4Sn+m1B8xfno++KzrX4aa38U+o27cqkysLoqACIiACIiACIiACIiACIjACiTA6kq5OSKAcstfss2aozHlfQVI5cB4gfe4bNu88u2pfseXd+JAKN6mGIoRoszwtJmlU7w16HdbxV4Iwp797GdXhl0WMNvWNpX+4kUEMAjHyYOdsVQrTOcZW9Vc5NVWMMdgOn+PaewigLXt6xrDRgnm/OuUqFEQNktFV2PCf3MTgTDpN+u5Su9tvHjIlQBViq6oIEUQPYmzM0wKxmat0xgEQlryYxZHI7PgWODXLNuKsL70pS8tuB8voND1suVzKSi6onLSVv3H5Hb+HvucOoFhrLMo6FCaNTmzIihY2dkwC7yivIehWQAsuBcvmJVhEQ7pnMTFOltXD2K4toVoEScKjirndZw8mLXryKwLqryNXbPtRkdmMZjDNgursXvlH3aOYZEGFi+U3aSKLq+/dULocjxdfvcdC2bVz7pSxyxWRigP65xZFRdKbNvac8F4i7DfLLNyeaCAq1PwevgsEnDOs1B0oWBiUYvHybhZNWegr6D+448FGW0uKkLMmqjS+ySKrsqAwsUu9WkaRZdZu43MErX1r7yoICSx8WvsK1GAVy3U8QDMkrUoN8rFrKH81oJPxksvY5ReVQ4FmPthQVaTQ8lrFn3Z/93vfveRWZct8B4VvHYu6YL78YJZDBdxk4aqPmbI+V2XcSumT99FQAREQAREQAREQAREQAREYCUTkKJrzkrfthsrXrJtW53G1E+r6EIg7sIErAOGdPHlnThQ5vRxtt1dkTaE+Ivp3NqClbxVLgqYUZzUKXXis1GJaOdcxVuV3xFMwskOda+833YxprFNAIulB3ybHEI6FyYiBKxyURBWx8RXeg9p0VWVlvK1uGq8ygKijRfhuRKgStGFxYy3HRQKkziEx4RB2bdZ+WCZ4PGVFUEovvxeF862tVuhqOC5paDoQomERRHpsbNRai1NmjjHPqeLoqtLuUWLrSpLJ9veL6fZtvNqStrIttgqyqjOOqExALsZ6yyM2hxt0q0YqGNVzus43FFKdXEo+r2+ofRqclioul/6i7KbRtFlW1uWg5v6d5+xYBb9LJaZ3g/b9qit+Xve855X8C4r4G17w+JeF+u5OIYNpeiybVpHWJ/6Hxbstp3qCEWEW/BQX1gkUk6/Z962uizyYVuM+uXaT8JxxSwLIKrcYii6iKetPk2j6PJ21fbZNo+s4sG1OL7XWV75sxdccEFRJnZ+qV+u/UQhRbrtrL5KP14XmKtUjd/lh2L/alsUlm9ny0rioz9sCy8qznimStEV28a087su49aCDOmCCIiACIiACIiACIiACIiACKxQAlJ0zVnBH3DAAYXAoG77Mc/StIquaEXRtK2Px9fnM768I0ydxNl5K5kFwqLFdL5yvS6eKGCuEtZWpS1acFQJyMvPoKBAqIJQs83KpPwsv2Ma2wSwdp5NVRALrrHqnzSxtWKVi4KwpaboilZLVSu823iRX1cCVCm62GqPLZDgwx8WkX0URlgvuPC1TpEYmbOtlcfFtpnRsYWV38PSrItzQSLP9Ul3DBsuPD/E1oWEa+dyFflAidFXQBv7nC6KLjuHKGan8nvcQrVKQYViGgZ1SnIPNCoZ6LcncbHO1llZlsONTH/2s5+Vbxd1nDzAr4ujbPCP0r9NQYvVkCtqqhYsTKPogsfQrs9YMIt+lq1GYc0fSpE2hwLL/aNMio464/cY+9sc27i5/6EUXR5e3SdWa8ccc0zt1qukGaUyz6Ms6eoY83jGztqqfGSxFF1t9WkaRRf9L22x7a9OYVgJIlyM43u5LgVv+SsKRy/TNitPHnAFYFW9wlrKt7G1Mz7LUVX+Zntgj7+8AwCLKPxe1/CiMrVK0TXk/K7LuFWZaV0UAREQAREQAREQAREQAREQgRVIYBV5XpGHk81ppk0gkw/FJvkmoEgcBF7n4qHtZgmWTjjhhDqvldc5dN2EEvmeKTOSnctR6W+Si/GA7d133z2dd955vYMxa4l066235sPKzWql9/PxAQ4bh6cJ7xIH2duZNcmslpIJYpMJE5MJSpIJ2fL3+BzfbVu5ZBZC+bKdM5QPMS/7Kf82IVGyVc75simxFhxuX/Zv530ks7TJlzlQ3ZQoZS+Nv2MabfunZNsajfmP5fGYxzwmmQB/7H7Vj5133jmZEiSZwivZNpoLvFB3qEO4r3zlK2nrrbde4Id8wNYUAskERgvuxwtteYh++U7azKIklynlSl0xYX4uU9v6Mpc3/kyxkHbccUe+Fq5LXLvsskuuK2aVlkzQVzzrX8wiMpkiIeePaxtuuGEywWYya5tkgjz3Vvlpwq1k5xble7ZqPZkAttKfX7RV6MmsyPLPcls1JUo67rjj8r23vOUtyc5H8cdqP01YnLng4YYbbkirV6+u9Vt3Y4899ki0y2233TbZVlV13orrdvZWstXv+ff111+fTJhZ3OOLbb2WTNFf9H+rVq3KjGz7wGRKksa+kOdjHT/00EOTKQS5POZinaVOU7ebnG0vmcyCKXuhzdB2oqOsr7rqqlz2tt1n2mqrreLt4vtRRx2VzOogrbPOOunGG29Mm2yySXGv65dYZ01pkWyr1dZHTWCb7Jyj7M+Upcm2rht7xuv4RhttlNsS6WtztGX6Kto7fXubszO8km1Bl7bccstEu4yO386UPtNZRz/xeyw/wrVzuuLtTt+HGgtm0c+a9WZ68YtfnPNFf7H99ts35tEs6BL9Es62QU5mQVX4t21xk23dl39TV9vCMmV8ssUm2T/1hvoziYvzlLbnbVu53Ic2+TPrxDx+21abyRQsTV6Le6bISqbYzr+pc9TF6ODkYxx983rrrRdvN36fpj4x53rlK1+Zw6esTfHTGNeb3/zmZMrM7Ie+1BTsjf6nuRnbmi2mSKbYrg3uuuuuS7YrQL7Pc7ZdZK1fbthZhXl8NmVluvrqq8f82vacybYizNfo++3crbH7dT8Yp20BSp47MYdyxxjFWIXrGp5ZhSU7Dy0/Y9ZsiTlcdEPO77qMWzFufRcBERABERABERABERABERCBFU1gBSr35jrLbiFwz3veszUf01p0scWLr3TlHIshXVylOun5X24xQhq7HhAf84Bl1Pnnn58tkjyfTZ9dLLouvvjiGEXtd7bvaYqr6Z4pAWrDrbsRrT3aLA26lrVvp7jXXntVRhtXfM/KogsLElaXczaJW0Q1seTeYlh0ORC2bjvkkEMWlLUJ1kZsMcgWkFXuyiuvXPBMWz78Plaf0UVLDSxAujjOo/PwlopFF+lmWylT2I/cmtPTSF1805veNDIFdW32Yp/TxaKrzWKWiOKWkZdffvmCuE3ZUnDkfL2qc48oE7dQeO5zn7sgjK4XYhvv2g+ZkLhIH9ttlp1bLXLGTRcXtzT1sun6SXstu2ksuprqQjmexRgLZtHPxq0zu3J2f6effvoYhr333jvXBcqh6uyrMc+/+YHVHuFVWd5U+a+6FucpzAUot/hHf+5pxjKyKW3ROqdu27uqNNAfeBxV1mx9LbqGqk/TWHRhybuYLo7vbX1ltDxs2+aQNJvSNpcH57CVXbRQ7rK9rD/v80XOoYuWpjG8N77xje698fOss84q6kuVRdeQ87su41ZjYnVTBERABERABERABERABERABFYQAVl0zZmak1XbrCjGkus7ZoHU5OJK6UksuuzMj8SqeJwJAJId7N4UXa97Q6xSZXUzK9TXXXfdzAQLj67OzqDK1jYm1MqPsEKb8LCeMYFXXs2+6aabZssKVudiEdTFoqtqFX9VmtzahXixLunjWH1u5xX1eWTM6qwqjZOUx1K06DKB5Zg1Gqv7seqgTHfYYYe0xRZb5DJlpbyv0F8si65YQN/4xjeSKUWy1Q6ryt1Rp7CyKlueYFmBhQXOzqNJtv2fP9L6aeeMpKc97WmFP6y5sOrCmfA9UW5tLlr6zMqiC2sdLKRwVRZdMc233XZbrtP4p+66o83aeT65bfs1/+xSx6OVQp0VoofHZ5tFlwlUs+WMCazzY5Q31nK0X6zwsHSjj7U5R75myrJsoRrj6Po9WnSdccYZhQVF0/O2xVYyYXH2cu655xaWDf6MW3TVWS26P//8yU9+ku5zn/vkn6YwSaY88Vutn1iLla2Op7Ho6lJ+JGqWY0GXOlgG1dTPxrZt50v1srw0wf+YhZCPSVieYoXUxdkWp+mWW27JloBDWHTVzVNMAZxMeZuTVLZEi+m0BRWFFSbjOVZQXRxWU26xjmUxVonR9bHoGrI+zYtFV1tbixZdxx9/fGJu2eSaLLri2MiYwfysi8MylP5kgw02yPNGt06N4WFV/PznP781OKxvscLFVVl0eVsaYn43SZ/RmgF5EAEREAEREAEREAEREAEREIHlSmAFKfWWRVY5x8RXHnMOUJOLK6W7ntni4WE54WcwEZ8p1fzWIJ9DrFLlPA3SRjr7OttSrOB4xBFHNFqC7LrrrtlvF4uuqlX8VWkzwVkR/+23317lZdBr0dqjKo2TlMdSs+iyrYQKplhMmXKpliFWa96OFtOiq5wALA5si7viDBLSYEqPkW1NOebVBHJF+kz4Nnav74+3v/3tRViXXnppp8dNUVY8MyuLLlP4FnGa8LxTOn/5y1+OTGE54gxBL08+bQuvBc93qePRSqHOCjEG3GbR5X4p8zoLQ8rftjwdmfLOvU/0Gdu4KU87hRHPmrEtvBY84xZdWEN0dX423SMf+ciuj9T6m8aiq0v5EfEsx4IudbAMo6mfNUVIUe+r+vVyWE2/n/70pxdh2TahTV6Le1jH0N6Gsuiqm6fYdsIjU+DnuO51r3vVntGFpQ7tqW+aogVrVTvsY9E1ZH2aF4uutrY2pEUXFu3e15uiq6iLbV/c+tC2Ux3zaosNivBMCTd2r+4HVmmehiqLriHnd5P0GXXp1nUREAEREAEREAEREAEREAERWO4EWEkuN0cEOCzbX7B5AW5y0yi6oiIA5drQbtqXdwTcvt1XXyEbQjNnaGdVNW6FRL7ZJhL/Qyq6Tj755CINk2xF2Lc8ohC8SiA6SXk0CWBJXxelgVmKZA52xkVrltryQPlQTghf25QzUZEzS0WXZ5It7F772tcWdcDO3vNb+dPOEhvd6U53yvfLWxGOeezwg/L2+n722Wd3eGI0stXvxTNtLOsC9K2iuiqifes00tpV0RXjRuBo5/LkdPNZTneXOt6lzsY4uyq6EFjTX5kFTFbC0f7NsnLEdof0R0O42D7Y3rGLMyvdopzNEmXBI5MouuhTKUOzXmvtWxdEWLqw2IquWY8FXepgCcGoqZ9lu0lv2+WtCMvhtP1Goe5hfe1rX2vzPrKzFQv/fcfgGHjXeQpbk3r6XvCCF8Qgxr57nWUc6Op8ARFKtCrXVdE1dH2Somvh1oWxDTGOd3FsJel1h22No2Ohkd877LDD4q3a72YBWDxTpegacn4X81u35W5tQnVDBERABERABERABERABERABFYYASm65qzAoyDWDoxvTH1XAVI5ENvysBCyIwDAYmJoN+3LO2d4uHDCtmzqlTwEE/5s25kMUXA1pKIrCqX7nDPRK6PBc4xvKSq69ttvv5Da6q9NeUCp4WX6xCc+sTqAcNWVYjyzNhRdnhRXXKPUKisaXGCLhQxC5UmdbT1YsLFtmVqD4bw7V0DCp6wwag3gNx6e8pSn5HhR8PziF79ofIw43RKIOCdRdBHBW9/61iKvnO0TXZc+J/avbVYKhN1F0eXCas6dsa39YpIG/R7bR5c2gNWuW+TUKSO9Dvax6IoMy5aKfTMcFV0ohttcjLtL+c16LOhSB8t5bFJ0xfD6nElVjoPf0UrFtuSs8jJ2LVrCzELRhfLfttIs2nfdeYPHHHNM4Yc5UJujf3MFed15k1HRVXXOnscxdH3yvoM+8YorrvBoaj+jVfMsz+hqa2tDWnSRedvaMJcxVlrlcbMKzkc/+tGiTpx44okLvHg/yBm4TWfA+YPR+rFK0RX74mnnd7GNS9HlJaBPERABERABERABERABERABEagmIEVXNZcle5UtuRB68Gfn7jSmcxJFl51XMHrAAx5QxMELfTy4uzHCHjenfXmPB9Qj2OrjzjvvvCJ/WFU0OTvDpvA7pKILRZ0rE+xcsNqtmJrS1udeFLwsJUUXh81Tl+9+97uPWHXd5JrycPPNNxflxBZ4Te7aa68t/BL32lR0Rauu8nZhp5xySpFOO3eqKUuN91AiuYCYbb1+9KMfNfq380eKeOEzqaIrWoW2WYjYWTpjcU6q6EIYTJr5u+yyy8by2aXP6aso6aLocus4ynMxXWwf5L+N+ZlnnlmweulLX1qZtEkUXVdeeWURLpYy04wf1FUvzy7Ku77lN+uxoEsdLBdEk6ILtljDOqOycrccVtNvtnp1K+kuis2jjz66iHcWii7SHq1T2RqTvq3s7KywIl1tYwHPvu51ryv811m8xr6sTsFGWEPXpw996ENF2piLtLmVouiKY2PbHA5mj33sYzNH6jfK87J73vOeV3Cumh9F/7Rh3x6Tdlel6BpyfjdJnxHTq+8iIAIiIAIiIAIiIAIiIAIisJIISNE1Z6UdlVd2oHdj6qPfurMvPACEXG6B4UKz3XbbbSpLEg+76nPal/eoILjggguqoqi9FrlgUVPnsJiLAo0hFV3EedZZZxXCFbYQQzjS5FhpPOl5XlEIXiXImaQ8mgSw5KOL0NktmqhzbZaDTXlgK0tflX/f+953VHd+HeevRGsu4l0MRdett97ayYrJt8zC2qfsUPyxwpw0sg1clUCt/EydUgoLDW/Xhx9+eG3aqIN+Jp37rwuzHHf5NwJID6NpqzH4l8ukrOjCoq2sCCzHx+9Xhi2lfvjDH4556VLHu9TZGGgXRZcrixDMT2OZF+Ot+h7bB9xpW3XKY6xx/IzDu971rpVtgDg87V0UHzFN8cyjV7/61ZUKieifs+vqLDP8bCbOOGuzHOlbfrMeC7rUwciF72397Fe+8pXi/LcHP/jBoy9/+cvlIBb8rmvTWHx6m21SIHzhC18YGxtnpegiI0960pOKNHL+YNmh/HvCE56Q/WAp+4EPfKDspfh9zTXXjFhoQp7p96oUZ3iOSmH6mDo3dH2Cs5cHCvM2t1IUXdRfP3Nrp512GmG1XOeipeKLXvSiSm/f/OY3CyUv817G7ypH/XjOc55TlAllUzcuDzW/m6TPqEq7romACIiACIiACIiACIiACIjASiAgRdeclTIv2i7423nnnRtTH4UuKFIQdvvfGWecMXrhC184WrNmzYhw/DwgXtxR7px00kkjhI+L5aZ9ed9///0LYUOVoqIp3Qh/o9UawlFWwrMl0c9//vNsCYEwCw6c2fHoRz86xzW0ogvFlYcN9/vc5z6jd7zjHSNWjCPIYdtEtpG8+OKLR6ye5z4WfZO4KARfSoquKIRCkHfjjTcW2aNco+CxLQ/xAHi2s8QyCcE4nL/zne+M3m0WkL49ngtC4V5Vf9riIpFNSgAEjigS2Gro6quvzlvx+ZZI1DGsyg466KCiDtet1o8WDKQVBcKHP/zhzIlt8OCFBQNb9rFqHcu4KgdHzociDP7IP8+hPOIegj7yzBZ23Edw7X7rhOJV8cRrbI2HENLDQdn19a9/Pbcz2hoWR+ecc062bKT/iQq2sqKLvgyFDGeoYHX6rW99K4dDfHAlrOOOO66Iq8r6p0uf01dR0kXRFa0P6FOwrkOY6n9sl4blCX0OCqhJXayz3r/tvvvuWYH8ve99L1tWYflImv3cQcqmaTuspjrelM7vf//7xThFHPRzKBwQ3FNvSQf9HBYwnJmDkpq+rsrF8/RQxLiyH+V2uZ70Lb9ZjwVd6mCZQZuiC/+Uobcz6hjKRcY0+KC8RvnFVnaM62z7Rt9T5WhXKBQ9LCyZKBf6LBSRX/rSl0b0VcTBdm+uiJ+loou27mmkHpcV2uTrpptuKrblJC/k47rrrsuKZrZApB6edtppRTj4+djHPlaFJF+LCicULLD1/px+zpXwQ9cnmMc+FOUj6cfRh5atc6Oii7bAPK/t7/zzz8/h9f3Xp60NvXUhab3wwguLesrYwBhIPWebXPoYlJgsBvO6zFyuzCvm+Ygjjij83v/+98/zLvoxFKd8UuZunUvf7eHWKbqoH0PM7ybpM2K+9F0EREAEREAEREAEREAEREAEVhKBVWQ2yc0Vgac+9anpqquuymm2baKSCXsq028CqmTbGlXeq7towuZkwrBkQqw6L4NcN8FrMsVRDsuEvDnOrgGbtU4ygXwyAX0yS5dkQpSujxb+TMifDj74YBS9xbUNN9wwh2mCjXxtk002SaYYTGbZldNXF5cJcJMpovIzJohK++67bxFm2xcTkqXjjz8+mVVam9d8/2Uve1kygUwnv9FTWxonKQ9TkCZTguSyMGusGF3+fuSRR6YPfvCD+btZHaStt956gR8TSiUTGiXid7fZZpslrvNngtW0zTbb5FtteSAtZnmSTMjlQaV11103rbPOOrlc/aIpFJIpG4pyMiVK2nHHHf12p7jwRBimjEy2BWUyIdjY86aQTKbgGLu23nrrpY033jhRf6PbZ599kp3FklatWhUvF98vv/zydOyxx2bWxcWaLxtssEEyJULlXRibNVcyYeDYfdJlQrl8je8mAE7UfVu5nq/Zavm0evXqsWe6/rCtt5IJRJO3KZ6jPMirKSpyMOuvv36yc0xyWzRlWL52/fXXJ9tmKn/nX1VfRhibb7555hnbMe3UlGEL6luXOt6lzhaJsi/0D5QN7j3veU8yQWj+Hv+ZsDrRZ5OHLo76YJYqibLo42L7MGVorlOmJC+CiOXsF03JlMzatzaupjruYdR9mpVwssUUifrTxZFmEzAv8Eo4cPU6ioctttgiwdUWfSTbrrJ4pm/58eAsx4IudbDIzG++tPWzeKMt2aKBZGdO5n6zHEb5tylAkykZy5fzb1PMJ1MoJlMoFvfpR2nD3s622267ZErqZMrV/Ml8AY6TuNi26XNOOOGE1mBe/vKX53jxaAr+3F7KD9HPUb/NOqe4RZ9B/+N9Dzfo2970pjflsaPwWPEFJhdddFFxh/kCXEy5lWyBSrJzJvO9IesTAcY+ht/Euemmm+Z+z7aWTmbdzuXsqsYdv1f3aYq7ZErQutu11/u0NVMyJrPEy2Ex3zEFVG243DBlbLLFKckWbiTqY51jfmFbV4/V+ap+zqy8E2zoL+oc5Uhfbgq0MS/l8Ezxnud7tEsc7a5unj3E/G6SPmMsA/ohAiIgAiIgAiIgAiIgAiIgAiuJgAku5OaMQDy3ASuAOhctunz1qX/e1VbAmrArWxJw/g+WXp/5zGfqghr8+jSrVDlHw/Nx+umnT5w2+PjWcR4en1i1YB1kgpYctq9GHtqiKyacw9JNQTZmaRHTxMpg8oqV1yQuWnssJYsu8sI2QdEay/ONdRIrs9215QF/8MHqI1ooEh4r/7ECZJU3jlXfphDJ9WgxLLqoO1hVsDLc81P+pLwpCyxT2hwWA5xFx9Zk5bwRLttvcc7IpZde2hgUlhlYPrnFj6cJ6wysvEyBnp/nHBO/N6lFlyeErdXYbqycblbYP/nJT86WPfhlNb7HWbbUYStKrP98Rb37i59YH2HxULdtZZc+p4+VAmlus+giPW49xfaUWORhXWIC1fxHmbKVJOcsuZUKeTJhMMH3crF90GfhsHKgn/ezlwgbaxy2Iuyy5eukFl2ecKwasEJl20bijeXlaWHLXDhivVLn2EZ2jz32WPA8/Xd0fcvPn53VWNClDnqa/LOLRZf7xcKTLSvdMrPMm3ZP3Wra6o2w6BMPOeSQ4hxJDwfrIlMeFZZ0pqDPZTJLiy7Sx7jgW9eRNu+3uBcd1mxYVEarKM8L1mjUF7az7eLoOwmrXI9pW2VrsKHqk6cL62Qsuj3t/omFXnTRosv9tH0yt5jE9WlrPociLfTjbY6+Er+c4dnmsPA76qijiq2LPb/0p9RLLBCjZXhbeOeee25+rtxnMvZQ3935Gat1Fl3uj89p5neT9Bkxbn0XAREQAREQAREQAREQAREQgZVEQBZdc6jVZGW7bUOWbMuetOWWW2aLo4022mgOczJZkk1omljlT55NoLTAcqNvqLa9XbaCYUUv1jmTWq/0jbfKv3U+ybbJSbaFVM4f1kysnt9qq62qvC+ra3Z+UbItp7IlAfm2bQYTq+YncZQllk1YebEq3ISTtRZTk4Tf9RnK04StyYSp+ZPnTBCXLciwXJvEYcliWw0m6u0d7nCHtO2226Yddtih1iqnLg6e/+pXv5qfxyoUS4HFdCYozpZ7WMFRHpRLnRVbUzpM6VcwpZy33377zBQWS8mZ0Dmdeuqp2YLEhK3pgAMOaMwvlie2lWwywWbCMo8y7mPVFS26bDFAsi0RCxxwwqqScKdpV0WAE3xh3Pr2t7+d+zcssqi3lB3Wg10d7ZkwbNu23IZMwdvItGu47m8pjQWepkk/schinMQyFtaMa/z1bXOmdM79MtYw0cpy0nStjeeoe/Q75IU2wDhPHZzEUfcYWwgPi1LqYN34PGR9wgqNuQFxYwVrCzXmtjwm4d72jG3pmMcXU9Lmes6YNun8gbjoM02Jlq0YTcmY52NtaWi7v5Lnd21sdF8EREAEREAEREAEREAEREAEhiAgRdcQFNdCGLZSP52xQu19AAAMs0lEQVR88sk5ZrbdsVXxayEVs48yboFjK9ezIHn2qVCMIiACIlBPAAG3WYxkhQzbi73uda+r9xzunHnmmcVWZGyHiUC+q4uKrr5bqHaNQ/5EQAREQAREQAREQAREQAREQAREQAREQAREYCkSkKJrKZZKhzRxzo9tSZXPn7BtCPM5JaxUXu6Ocx5QdmEFgCAYyxA5ERABEVhKBDhDkXO5cPH8nrY0clbbiSeemL1x9iBWG12dFF1dScmfCIiACIiACIiACIiACIiACIiACIiACIjAciMgRdccl6idN5QOPPDAvLXK0UcfnV70ohctem7YXo6tryZ1bLszqUKOg8c5AB132mmnpYMOOmjSZOg5ERABEVg0Atdee23eqpAIzjjjjISCvos7+OCD05VXXpm33rJzlLo8UviRoqtAoS8iIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIrjIAUXXNe4Kz+xwoA5REWTpx7s5hubSm6OJfHDhbP5zftvffe6ayzzlrMbCpsERABEZiYAOeosSCAc3V22WWX9L73va/xjBfObmEr2re97W05TqzBONerj5Oiqw8t+RUBERABERABERABERABERABERABERABEVhOBKTomvPS5KB5rAdwbGF4t7vdbVFz9Ktf/Sof6D5pJGw1uGrVqt6P33rrrflgcB58wAMeMPFB8r0j1gMiIAIiMAEBX4TAoyi9DjnkkNx3bbvttjm022+/Pd12223pU5/6VLrggguKfvWhD31oOu+889KGG27YK1YpunrhkmcREAEREAEREAEREAEREAEREAEREAEREIFlRECKrmVUmMqKCIiACIjA0iCAldaxxx6brblYINDmNt544/T4xz8+n9G12WabtXlfcF+KrgVIdEEEREAEREAEREAEREAEREAEREAEREAERGCFEJCia4UUtLIpAiIgAiIwewLf/e530znnnJO+8IUvJCxT+cOqdfvtt0/bbbdd/nv4wx+e1qxZkzbffPOJEyhF18To9KAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMCcE5Cia84LUMkXAREQAREQASzIOBMMt+666060RawoioAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMA8EpCiax5LTWkWAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARFIUnSpEoiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACMwlASm65rLYlGgREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEpulQHREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAE5pKAFF1zWWxKtAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgBRdqgMiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJzSUCKrrksNiVaBERABERABERABERABERABERABERABERABERABERABERABERAii7VAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgbkkIEXXXBabEi0CIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiBFl+qACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjAXBKQomsui02JFgEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERkKJLdUAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERGAuCUjRNZfFpkSLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhI0aU6IAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMJcEpOiay2JTokVABERABERABERABERABERABERABERABERABERABERABERABKToUh0QAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARGYSwJSdM1lsSnRIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACUnSpDoiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACMwlASm65rLYlGgREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEpulQHREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAE5pKAFF1zWWxKtAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgBRdqgMiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJzSUCKrrksNiVaBERABERABERABERABERABERABERABERABERABERABERABERAii7VAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgbkkIEXXXBabEi0CIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiBFl+qACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjAXBKQomsui02JFgEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERkKJLdUAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERGAuCUjRNZfFpkSLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhI0aU6IAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMJcEpOiay2JTokVABERABERABERABERABERABERABERABERABERABERABERABKToUh0QAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARGYSwJSdM1lsSnRIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACUnSpDoiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACMwlASm65rLYlGgREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEpulQHREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAE5pKAFF1zWWxKtAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgBRdqgMiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJzSUCKrrksNiVaBERABERABERABERABERABERABERABERABERABERABERABERAii7VAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgbkkIEXXXBabEi0CIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiBFl+qACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjAXBKQomsui02JFgEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERkKJLdUAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERGAuCUjRNZfFpkSLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhI0aU6IAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMJcEpOiay2JTokVABERABERABERABERABERABERABERABERABERABERABERABKToUh0QAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARGYSwJSdM1lsSnRIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACUnSpDoiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACMwlASm65rLYlGgREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEpulQHREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAE5pKAFF1zWWxKtAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgBRdqgMiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJzSUCKrrksNiVaBERABERABERABERABERABERABERABERABERABERABERABERAii7VAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgbkk8P8BxrkUjLqBbXsAAAAASUVORK5CYII=", - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": { - "image/png": { - "width": 600 - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import Image\n", - "Image('data/imgs/eval_split_entity_view.png', width=600)" - ] - }, - { - "cell_type": "markdown", - "id": "4fec26cd", - "metadata": {}, - "source": [ - "From stats below, we see that all biokgb entities surprisingly have a relation - > D_r is an empty set. -> This is because we used the name of disease as decription in places where it was missing\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "4b6c8473", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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AgVACBEKhhOJ43BoI6S4tpx/1acSl0UHK3uPay5Rz+vvCAKcL6C/xpx3xqVRX2wOhh54b7fsi7/Sept730X/Xy/23/hTxZTOzPHLAIZ3l9At3k46dgwcuZx87VzZtKLdd/9IbB8vkE/vY9oWzEU1dpKQmyRHHd5dTzx7QJC1PoimDfrb2HVPluCm95KgT+khWljecx43onNuvXSzz59R/ad3/4E5yy72jfNe45PR58ssye/AS0cUtJ/9v0WFNFghddOrnsuqXXZari5x1cX+Zeu5A275YbRAIRSf7jwd+knffWG9786gxuXLPE/va9rWWjU0bdsmFJ30hFRX1LaL++sReste+HW2PSCBk42ADAQQQQAABBBBAoAEBAqEGcOJ9qCkCIeMZ0tt45P4n95ZBQ51b/Nx69WJZ+Gn9F/lefTLk2RkTjLfH/DXaQMgoWJ/+GfLgs2NUixjn1lDxDoSMcmaqVlz/eG2cdO3extgV1Wu0gZBxs05dUlX3mpG+saKMfY19/fC99fLAbfWhnv7MPfvWeLNllFsDoRmvrZKnH64fw8fjSZKXZk4wy91Yl1DvJxAKJeR8/OelO+TSMxbaDt549zA56PAetn2taeO1536Wl/+5ynwk/XP85PT9beEugZDJwwoCCCCAAAIIIIBACAECoRBA8TzclIGQfo4c1Y3pmbf293W58n+u6uoaWfJ1gRpUusDXTWyU+qtzOF2x/K8T7XZjAyF93xF7t5UHnhrjWAS3BEK6cLvvkSMPPrOveDzRd91qbCCky6Fbj91413CZcEjjx1wpVl3Ezjx6ruoqVq0v7VvOubS/ahFV38rGrYGQLqweUP1LNai0Hjdo7ITOQYPFuidr2v9PIBS9p/45+PLzPCkrq5b9JnaVbqp7ZmteKipq5IITP1PdX+tbOx57ak+5+Nqh5mMTCJkUrCCAAAIIIIAAAgiEECAQCgEUz8PhBEJTzuujugHVdZXSM+3s2F4pP35bKEuX7HQs+i33jZD9JzU+AHC8eCN2OgVCuoXJeZf9FijU1ooOHbbnl8uiL/IDun8Zt37r44mS0zawlVBzBEJGXdSocK1AlVOPl/PVvAJRRQ9Y/nD1bvL7qf0C9oe7I1ggZJRBX6dQdQVcu6pE1ql/a1btktqawKvrAZQffGZ00JZjge9w3vP2tFXy1EP1rWxSVRe5af870BasvP/uOuViH8dJX61aDQr82jOrAy78u+O6+cZhCjigdpx23m5Ou1vkPgKhFlltcSv09JdWyvOPrzTvn57hkdf+e4AaQy7Ft49AyKRhBQEEEEAAAQQQQCCEAIFQCKB4Hg4nEHr6zf2kT/+sgGJ+/skmuevGJQEhwMln95bzLh0ScH6pCpP8l7Q0T9hTz+u/XG9YU6wCiGLfezp3y5DuvdrYAgH/61u3nQKhtu288uaHk6ynmev/fPAneed1+/gh+uBdj42SffbrZJ5nrDRHIORUF8t+KJTrLlxkjvthlGe/gzrIbffvbWxG/BosEHIqg7740iXb5YHbf5D1a0oD7tVTdQ/ULcf0wOTRLHra9HOO/1Q2W8ZoOvjILnL9nSPDulx5ebUcM/7jgHMfeHq0jNirfcB+/x06UKmqqk+7dMs2/9ZX69Vnc82vxVK6q0o6d82QPfbuYF5G318/g3XRA297vYEtuPx/Tvx/RnT4t251sa/Fkf789x+U43gd672aIhDSz6Wfb8O6EumoWjn16pcl7TtEPmW9nsZ96+ZS0Z+v7QVlkp2d6us610GNz9WufeTX08/pb6b3BfPVx4xF/07RLReti/6ManO9+Ne73qfrPdyWjbqu8jbuEj1bmb5Xr76Z0qN3VoPvdyqT/pwEG6hdt1yq9UuE9aDz6el1z6DLbF2cnsn/+nrMt9OP/NScXU2//4IrB8qJp/f3XYpAyCrKOgIIIIAAAggggEBDAgRCDenE+VhjAiFddKfBcp2CiGi/kOov0W+98qvMmrlRNq4rVV+q7WB6LJZ9J7SXY07uEzDwqf1MkUgDoZ07KuSkg+f4X0b+eO1uctypgS1v4hUI6QI+9/dl8uaLa21l7dE7Q55/O/oxmiINhPTNdfBx53Vfq1ZL221l0RvX3TFUDjmqZ8D+cHZ8MXuzuu73tlMjGZC8sYHQ808sl+kvrDHvf9KZveX8y+tCTx1QPnHfT/LtokLz+G67Z8nfX9nP3L7y3AWy9Ht7i7pLbhgsx5zUxzxHrzj9nFz/l2Fy8BE9fKHHY3f/oLqdFUjxzvpwVbeUGrlPO7nmthFBAxWn6+r7hZp2Xr/vlad/lrmzNqtgozygJZoer2rCwZ2VxeCQwawODP/v9dXy+cf5AYPL67LopXvPdDngsC4yUc1c2G+3nLqdYfz/y86aJyt+tA8mftgxXeWaW/do8N1XnbdAfvrOXi/WoNG/3vXFJhzSSf58T90g5sEuvuLHQnnqkWXyy/ISKdtV38VRn5+sMsBe/drIuZfuproOdgm4xCtPr5BXn15t23/AoZ3k5r8F3lOHdCccNDvAU7d8fHv2QQGhpb7ozZcvCvj5vO5O9bN5pP1n8+6bvpFPP9xqlqNLtzR58d0DfKEugZDJwgoCCCCAAAIIIIBACAECoRBA8Tzc2EDI6QvVMSf3kEuuH2Z7rGi+kK5Rf1V/4M4lAV/0bBe2bBxzSg/5w1W7B20tEWkgpP9Sf+z+HwWEUH++Z4TjmDjxDIQ++1i11rphiUVDJEl98Zz5+SENtkawvcFvI5pASF9inWopc+FJ8wLcBg3Lksdfqg9J/G7X4Obfbv5G5nxQ/+W0a480eendAxt8j/VgUwdCu4/IkUdeGKtaLO2Sq877UnVTq7DeTs26107++vg+5r7GBEIHHtZJLr9puPz5isUBoZJ5A7XStXua3PnI3o6t+aL5+dNjHt136/cBs6NZ72ms57ZPUT/zQ9RsfM5dRWe+tUaeuHe5cXrIV9XARV58Z3/pGuZ4Pe/NWCOP/c1+fR1WTZ91UNCWNfrzfcbRnwaEXPepgfFHjq5r3RVpIKRbG7327C/yxvNrAkIap4fWdXvxdcNsY67p4OzKcxbZTtctGafPmhQw692XX2yRW6741nausfHoi/vKkOH2Af7177QTJ82WctWqyFj074k3PphoK4M+tuCzPLntqu+M03yvRghLIGRjYQMBBBBAAAEEEECgAQECoQZw4n2oMYFQ/pYyOe+EL6SstP7LhX6eK2/ZXY44tpft0SL9QvrL8p1yxdkLpapS9bmIYBkzoYPc+bBzN6lIA6F5czbLHdfaW6XoL6rPzRivun1kBpTKbYGQbjnyrgqEou2mFW0gpGEeuWuJvP/OJpuR/uL51kcTQ7Yksb3pt42pR8yRbVvrQ5dDju4i190eXncxfYmmDoT0YNnP/Gu83HzpV7JxfeCYRdZWJvr+jQmE2mR6pFPXNFmz0j5tvb6u/5Ld1isv//sAadPGazsU6c+fbuFy1fmLIvr50z8b9z8V2AXv64Vb5U+XfRPQtdRWQL8N/0DN73DAZnFRpUw5fE5At8k7Hh7p2ApHX8B/5je9TweNL75zoBm8RBoI3X7tYpk/p34mRX3NUMue++bKvf+on8Zet4o8+dDZUrSjvhWYvsaTr48NaDX1zKPL5F+vrHW8xflXDJCTzhhgO/btony54Y9f2/YFC2q1qQ6PrL3Rzr1sgJxy1gAhELIRsoEAAggggAACCCDQgACBUAM48T4UTiD091fGSE819oVeqlQXksKCClmmvjBOf2GVGsvEPl6Mbimgv5AaY3AYzxfpF9KrVVeOH/26cuhr6VChR68M2VFYGfCFybjXpTcOlskn2rvi6GNOgZCeFU2X11h0uFW4rVwWqr+8v/nSGikpsoddYw/sIHc86Bw4xTMQcvpiOHBIljzxanQtcrRHYwKh+XPz5PZr7K0L9DXveEh9QT8gsJuMPhZs2ajGrDnn+C9sh6+4eYgceXxv276GNpo6ENL3ylDdckr9ugMZZTh+ak+56Or6WZkaEwgZ19SvOojS4zGVqMHPt+bVB2TWcy68aqCccFp/6y7Hrmj6hGBdxpx+/nQrlWNO6SW9+mSJDoM//u9GWam6RFmXPv0z5B/Txtta6T14x/cy69+bradJVo5XfQ46+MYA27alXP0eKZEVPxWb4XI0n5N7//ytfPK/Lbb7+Adz1oNXnD1flv1QZN0lZ1zUT04/v34w8UgCIR183XTJN7br6Y1xEzvIvuM7SZoa02fZkkL579sbbWPz6HNuUFPZT7JMZX+PepbZfs/iNEj8pWfMk5+X1nWV078brYO677t/e/nLI6P15c3ledW1dLpf19LTL+wrZ1w4yDzHunLhKZ/bgsh9xreXux4dTSBkRWIdAQQQQAABBBBAoEEBAqEGeeJ7MJxAKNwS6i/Idz68p20wXeO9kQRCn/xvg9z75x+Nt5qvx6mpj8++eJD6Il7X+mHVzzvlzuu/840tZJ6kVvSMOG98cKB5nnHMKRAyjoXz2qtvhvztiX18A+A6nR+vQEh3Mbn2wq8CWnMcNlmNoXJbw2OoOD2Hsa8xgZCum4umLDAuZb5eftNgOeqEwLDOPMFh5YOZ6+ShO5fajgQLMmwnWTZiEQhZLq8+E6kydGRbs+WY7qozZv/O5ilNEQjp+rzkhmHmYMG/LNuhxoP5WgW0leZ99Iouix7rxTpgdSQ/f3NnbZS//umHgGs+/so42xhFepDtO6//RhZ+am8Rc9E1u8nxU/qZ7z9fTWHuHxxf/if1Ofi9/XOgx8P5TA1U/9W8fLnxrj0jbtn29Zf5ctPF9tYvunXV9A8PCug2uVkN9HzWMZ+bZdQrOlB56d39pUu3Nub+cAMh3arnj1O+UINH21txnX1Jf5lyzkDzenrlx+8K5NoLvrJ1qdRB+iv/OdAsp9PvKv+Ap2inGuPskDlmCKTD6p++2yE7C+taFmVmeeRfn0yyOVoDJKNQj720rwweZu9aZhx79K8/+AIsY1t7zpg9STLTesqAjncZu3lFAAEEEEAAAQQQQCCoAIFQUJr4H2iKQMibkqQGde4hR/6+t6/1gNNTRfKF9MKTP1OzGdlbHo2f1FFuvW+vgEvr0OKsYz4LGK/jhrvUX9x/18N2vtOXLNsJQTbad0yV46f2kiOO69Vgd6fmCIRuuW+EGng3U3R3ji15pb4vz3NnbbF9uTQew7/VgbE/3NfGBEJ6JqnfH/hJwK3O/GO/iKdzf+rhn+Tt19ab10pRXeH+/cWhZrce80ADK7EKhHSIcNYf+/ta5DQ081RjA6Feepa2f00IeOav5m+Vm1V3LP/lL4/uqVql1AdSkfz8OQ0Uf81tu8thk+3dQPU98zbtkjMn24MV3SLm9gfqW9E5XW+vsXVjLOluZk216FDm7GM/VWUqt13ytgf2kP0mdrXte+uVlfLsoytt+0aNyZV7nqjvuqUPhhsI6RkX/3L9Etv19ADZz87Y33Fg5wfvVK2mZtpbTf3jtbEyYHCO7xp6lq8ph8+1ddfSgfsMy0DR/l1adRexH78rtHVZe0Jdc+Bv19xRWCGnHKoCJEsvXN3q640PDrKFRtaHeO9tNTbTX+1jM700c3/p12c3AiErFOsIIIAAAggggAACQQUIhILSxP9AUwRC+in6DWwjh07uIZPVrElOX4zD/UKqB2WdvN/HAQHPX/8+SvYeGzjVu773bdcslgVz7a0U/L+U6vOiDYT0l/5RahanI4/v6TiYtL62XpojEKq7U+j/v//BneSWewNnJQr9zvozGhMI6atM3u/DgDFdTjm7t5pdqW52rvo7Nbx2/+3fyUf/yTNP6tApVaa9P9HcDmclVoHQSWep2cYuC/08jQ2EnMaD0c+tQ5Azjp6runDZu4/5z2AW7s+fvt7k/T4K6NL06nsHBG0Zd/pRc2zd13RLumdVeGUs99+m6u+9+voz9g8YnCmnnT9Axh3YJWggYZwb7uvLT62Q155ZbTt94uGd5Ka77T8Ll52pZiVTXdSsi1OAGm4g9OqzP8srT66yXk5+d1w3uerPI2z7jA2nVm9/+utwOfCw7sYp4tSa55Hn95Hd92jnO+cfD/wk775RH5Q+/Nw+8pNqLfjMI7+Y17DOiOjU8quhLnX6Ik5B1+Mv7ysjRw4jEDKVWUEAAQQQQAABBBBoSIBAqCGdOB9rqkDIeIwRe+XI7WqMnazsFGOX7zXcL6Qb1pbIub+3jxejL/DOZ5MkI8Nru6ax8ebLK+W5x+x/7ff/UqrPjTYQMu6jX4+bUjc2jFPLBrcEQp3VAMT/mDbO1ppJdyv7ZpE9NLM+l17vpQbKnmCZJaoxgdDOHao7y8Fz/G8hwYKNgBMtO2658iv58vMCc48OH598Y39zO5yVWARCetDuGXMOdgxA/cvU2EDIqZWLcY9br1osCz+z161/UBXuz98mNWva2cfaW/zoz7rujhRsWfL1DineWddNSZ+jxzma+cXBZsuYTz/aJHffaG89Y72Wns5cj030u+N6S1aW88+49fyG1vWsb2cf97mtFYzuQjr9w4lmVzunZ9QzkumWMv5hdriBkFPo1btfhvToU9/9zFpu3c1v6ff26e5P/0M/OeOC+vGLXnpyhUx7drX1bWJtYWcd30e3mntbfRZXLt9hm6Fsv4M6yG3317XWelgN9P4/v4Heb1RjFx1kGbvIdjO18f3ibXLdHxbbdt/9+CiZcMCeBEI2FTYQQAABBBBAAAEEggkQCAWTccH+cAIh3f2kR6+6QaWrq2vVmCXlsmZVsbw3Y72s+tk+qKx+pGPVWD8XX1s/oK7eF+4X0oWfb5Fbr7RPo5yuukq8++nB+jKOy0fvrZf7b/vJdkyPn6G/IFkXp0AoWw1u++iLY8zTKsqrZVt+uegA5b0ZG2X7NnvLC32i7ra1/6Ru5nuMlXgHQrrr3pG/7y5Tzh0o7TukGcXyvTp1kbGdoDb8W1U1JhDSs1RddtaX/reQq2/dXQ4/JrDrUcCJlh3+g//usXdbNZtVfZ1ZTg26GotAaKBq4fLEa+OD3tN6oLGB0ONqnJdBQcZ5cfqi798qJtyfv8UL1IxglwZ2QbM+Szjr/i2Knnpkqbz96roG36q7RJ1wRm/fLFb+wUyDb/Q7eP1FX8p3XxXa9v75nhFm2Dn9pZXy/OP2APmoE7vL5TcOt71Hb4QbCDnVb8DFQuzwb1H003fb5arz7NPPGzOS6S5lpx4217zisJE58tBzY1XLrho5XnXVrCiv8R3Tg+a/+WHddPVnHTtXNm+o706XrFo+vvlRw7P+rV5ZJH84Zb55H72iW1IddfS+BEI2FTYQQAABBBBAAAEEggkQCAWTccH+cAKhp9/cT/r0zwoore7edfPlX8k3C+1fvvRsOm/MOtA29XW4X0idxqzQg+S++t7EgPsbOxZ8mie3XW2f0Up38/rvgkNtXVGcAiE9hob+wuS0bNtaJpeducA23bk+b9ie6svXs2MD3tLcgZD+QqdbA3XpniF9B2bJ76f2la7dnVskNHcg5NQ9RYPd/9TejoOOB2BadviPKTVGzU5150N1rR4spzW4GotAKNi4Vk4FcQoM/Lt16fcF+zn557Sx0n9Q3fgy/td/8qGf5P+m1Xcd0seN4MA4N9h1/Qfnfv/ddfLIX5Yab4v61T8Q0l3RXn/hF3njudUB3Qj9bzJkeLbc99S+ATMV+p8XbPvj9zfIfbfYB6WfcEgn+fM9dd3GLj7ti4DZ0YIFbuEGQqcdOSeg216w8gXbf/ixXeXqW/YwD2uzkw6ZbWt9pVsyvT37YPEfP8jaIuy6PyxULXt2mNd5bsZ+kt02VU4+ZI65T6/svkeOPPJ84O8x60lOg2/rgeFPPHU/AiErFOsIIIAAAggggAACQQUIhILSxP9AYwIhXfov1fTst1xhb9Gj9z/x6hgZOKStXvUt4X4h/ezjTXLXDfbuJalpyWoQ4UOMSwW8zvrPOnnwdvuXWN0N5eV/H2g7N9JASL/52ceXyVsvrbVdR7dkeMehxVJzBEJ3PTZKtdZqI96UZOnQKc3slmMroMNGcwdCd17/tXzxSb6tJJF0sbK+8arzFqjZk+q71wQL5Kzv8V+PRSBkDRn87+e/3dhA6G//2Ev22rej/2V9207dlfzDqnB//pxa6Ol6G7h7tuO9g+289f5RthnJjPN0q7O3X1/lm7mqbFe1sTvgNRJb/zeXlVWrAZnnyK6S+uvr3yG6NUzB1vKALql9B7SRp6Y7d0EMNxByGpOoR+8MadvO3nXWv6zW7TETOsqpZw+07lKzvX0jc2dtte17Uc2EpltFvvr0anP/7Q+O9I3FpHf4dzX7099GqO6jXrnpEnvLL2v3M/NCfisrl++Ui0+zzxZ4093D5Yij9yEQ8rNiEwEEEEAAAQQQQMBZgEDI2cUVexsbCDl9YdAP5j/mSbhfSJ26SejrzZgzKej4Ik5dQPYa0843Rbx+r7FEEwj9n/ry+uSDPxuXMF+dytMcgVCw1lpmwYKsfPK/DTLzzYa77IzYK1fOswz4HG2XsR+/LZCrz/8qoCROdRJwksOOW69WY+RYpjbXY7M889YEhzOD72rpgZDTgMfG0/7pskWyeP52Y9P3qrsOXvGn4ea+cH/+nMbX0S3+3vnUPn25eeEoV/SU6f+ZsVbeeX2d6oJa6XiVF97ZX82o59zizfENlp3+06XrQ7p12sb1u+RhvxZQF161m5olrp/l3fWr4QZCTqHcuZcN8HV/q79a5GtOYbf+3frx+5vk84/rgyIddrXNTfXdwH/muSnn9fGN6WYdbFqf6B/aO5Xu6y/z5aaLv7Yd0uHk+PEjCYRsKmwggAACCCCAAAIIBBMgEAom44L9jQ2EnMbv0Y+lZ6IZNDTXfMJwv5DqwYj12Bh6rCLrEmzcHn3OTZcukq8X2L8QTz6pu1x6Q/0XYn1eNIGQ0/TQuoXQ2yqgSk5Wo+1aFjcHQpZihr0aTSCk6++mS76SX5bZZ3DSN/WfCj3cgvjXQUPd/IJds6UHQsec0kMuuW5YwONVVNSoqcRn21rD6JP8w4hwf/50N6Vj9v9IKivsP3/+XcsCChLlDt2a54UnlqtgyN7lTV/Of9atSG6hxwC78hz7+Ds6+Nm0vkT+/dZG81J6AOxX/3uAY2smfVK4gZDuDvfiE7+a19UrjWnlZFyoYFu5TP2dffp5Xbcfztwo69aU+k7r1UfN6jajPiAtKamSEw76RGpr6q6iW4u1aeOVD/9TP819uw6p8vr/JorT4PjGvfWrU9dPPZX9iOG7EwhZoVhHAAEEEEAAAQQQCCpAIBSUJv4HGhMI6S8rV5y1QLZsrh+oVD+RHtxYd6lKUd2ajCXcL6T6fKcWD6PG5Mrf/r5vwBeYjevUrGQnfGF++THud+Wfh8gRatYi6xJpILTk6wK54Y+LA8KpEWpQ4wccBjVO9EBIf3n8xwPLHVt8DB6WJY+9tJ+1OsJe9++2p8dOmqm6EFo/X6Eu1tIDoSzV5efV/xwgGeqLvXUJGsj6DUIdyc/fJWqMnV+W2weLt85WZb1/OOu1KlsKFTz4dwvU141mRjpreS446TNZu6ouNNH7Jx3RWQVCZWrA+Pruh/4DqVvfr9fDDYTmz82T26+xj2OmP6ePv2zvOut//XC2/evjsMld5ZP/5UlVZV1o5z/2kL7mH075XFav3OW7fL/dMkXPQrbix/qQVl/jmtvqxysKVo533lgl/3zA3kJSjw/Vu+cAAqFgaOxHAAEEEEAAAQQQsAkQCNk43LURTiCk/yLdsXO6r+C1qgWBnuFm3eoSmfPBVilXf+H3X5y+/EfyhVR3b7r3z/ZBYfU9Jv2us5x/5RDp0DFddEuG5T8Uyt03fSdb8+wzgXXvlSFPvzk+IDBwCoR0a5/LbhpiPkJVZY3kq8Gkl/+4U75UU3nrL7P+i3UAV+sxp0Do0KO7yqgxHaynOa73G5BtGzQ4mtY5jhduxM5gZTA+D9pqw7pdsn5NiaxdWWK2WPC/pQ4zHnlhX+nVJ8v/UFjbTq0UHnl+HzUobruw3q9PaumBkH6GgUOy5Lo7Rkjvflm+kHLhZ3lyrxo82ZhRSp+jF92CSk+hbm3BFsnPn9Mg7fq6vz+9l5x10SBz+na9z1jyNu2S2R9slE/+u0kee3k/2zk60Bg2qp2a3ryb7D4isM527aqSc4//PGBGv2hblBll8h83q1uPNDWDYKXNyzr2jvE+62u4gZD+fXTFOfNtoYu+Tvee6XLt7cPVQPTtrZf1resZwXT3rtn/2yg9+2TKGRcOCjhH73jhH8vljefXmMf0QPLWEN5p5r5H1BTz7/82xbyecVH/HrOOqXSzmnXtgEMCZ0o0b/Lbyt9u/sb3e97Yn9s+RabPOkgyUnoQCBkovCKAAAIIIIAAAgg0KEAg1CBPfA+GEwhFUkI9AO2Dz+wTMEV2JF9I9ZeXG/4YOHW0UQ7d3UF/uXEKo/Q5dzw8UsZO6GKcbr46BULmwTBX9Be8x14eqwZprRuvw/o2p0DIeryhdT3Ox9l/HGyeEiyMiXYMIfPCEawEK0MElxA9mO9fHtlT9tzHeUDkcK6lW6JNOXyu7dTzLh8gJ585wLavoY3WEAgZz5euQswaFSZU+HXrMo5feNVANSZOf2PT9xrJz59+w103fiOffVQ/Ro1xMf2zN2hYtnTrkSElRVWydUuZ5OeVy4a1pWZ4+u7nB9sCoSm/myMF+XWhrQ4UevXNkB69M6Vjl3TZpALFpd/vUGP7lBm3MF/1TIXt2qeZ25Gu6M/N6Ud+GtDCz7iOfpbXVHcxj6e+JaNxzHgNNxDS5/+6YqdcesbCgPvp1lFDhudIr35tfC28tuaVqhnJ6sxKiuoC9ZPO7C3nX14fTBv316/BxuQyznlWzSLmH7b+T80W5z9WknG+x5PkG2A7Kzv0gNf+s6cZ3eAIhAxNXhFAAAEEEEAAAQRCCRAIhRKK4/GmDoSuu2OoHHJUz4AnivQL6ZbNpb4p34MNOBtwg9927H9wJ7nl3lGOhxsbCOkv4o+pli59VGsep4VAyK7SR83edPNfRwb1sp/d8NZ5J3ymWiLVd/8ZM0FNPf9w+FPPt+RAKEnlFR41XlVVlUNzNT823TruqenjJTXVHnJE+vOnw5SLTv1Cdmyv8rtD6M2GAqHQ7647I1grvHDfb5znPyC5sV+/nnhGb7ngCucQxjgvkkBIv8d/hi/jOqFeGwqEqqtrfNPPG+GR9Vo5uV5566NJ1l2+9TW/FsuFJ88L2K93DB+Vo0L7hqeb1+dt3rBLzjr2c71qLpdcP0iOObkvLYRMEVYQQAABBBBAAAEEQgkQCIUSiuPxpgqEdt8jR06/YICMHtfJ8Wki/UKqL6JbqPxFTV++3DL2hePF1U7dEuWcSwbIcaf2tXWVsZ4fbSCkv5AfeGgnOe383XzddazXtK4TCNVp6Om2jzu1lxx+bC9JS/NYiaJe9581KjPb4+u6Eu44Qi05ENKf7QefGS13XvdtQPdIK2hX1SXqvif3kS7dAmfmiubnr3B7hTz76DLbYMTW+wVbb2wgpMf1ufW+vYL+HAe7r9P+eXM2yx3Xfu90SHUr3U/69G+4G2OkgZC+0eefbFIzEy5vsK78C9RQIKTPDdZia+yBHeSOBwODUd3K8oSDPpaS4sAuvf4DjvuXxdh2amX01PRx0lcF4rQQMpR4RQABBBBAAAEEEAglQCAUSiiOx6MJhPQ01F26pUqX7hnStXu67Dexi+w1xjkIMh4tmi+k+r36fXPUYMX/fXu9/PRd/WCw+pjuiqHH0xi4e7ace8kgNQ5Hw1/uwg2E9Jg3XbulSRfVLUZPe334MT1VN5eGr63Lk2iBkA4qspWV9urWM0OG7pErw0e2k6Ej24ccRFh7RbIs/7FQLj/rS9tbbrx7mBqXpodtX7CNlhwI6Wf61ycTfS2EdDD2/VeFti/6uh6OPL67nHrugKBdrKL9+dP3/n7xNpn2/EpZowYpNrp+6f3WpWv3NDngsC5y0GHdbWNh6XM++0hNkT57syyaV6C6mQUGFPocPQDzPuM7yImn95U99g495pZ+TziLHqdn6hFzAlo6DRmeLY++OC7kJaIJhPRFS9W4SK8994t89UW+rzudU/c+PcPZXmPV2Eq/6ybjDugSMGC4tXAfzFwnD9251LrLt95Q18mbLlGzLy60z76o3/TPaWMD6ijgwmrHlecssA3APUgNDP/4bwPDEwg5ibEPAQQQQAABBBBAwEmAQMhJxSX7rIGQS4oUtBh6SvMtm/WYJaXSrkOar7WO/6xLQd/MgRYvcPV5C+RHSygYbteXlvTgwYIb6zgxuvXHhrXFsn5tiXTqrELL3mpsmgz77GOxemY9pfmG1cW+gddz2qZKbnv9L03CGY9Gd33SgdLOwgrZUVguZaXVvp/jjuoZ2ndMbXAsn1g9T3NcVw84vWVTqRp0vW7mtna/mWk7r9feta85yhPOPVYu3ykXn7bAduqf/jpcDlSBn14IhGw0bCCAAAIIIIAAAgg0IEAg1ABOvA+1pEAo3lbcP74CuivOX65fYivE06oLS7AxnWwntpCNYIFQa3vOFlIdCVtM/y6auiXmi+9OMEM7AqGE/Wjw4AgggAACCCCAQMQCBEIRkzXfGwiEms+aOzVOQLe0uPi0ebLq57qWFvpqk37XWW64a8/GXdhF7yYQclFlJGhR9ID+5584zzaL4+V/GixH/b6PKUIgZFKwggACCCCAAAIIIBBCgEAoBFA8DxMIxVOfe0cqsHplkZrae4FUWqZcv/efezVqWvtIyxDL8wmEYqnLtcMRuP3axTJ/zjbz1NH7tZO7Ht3HNi4YgZDJwwoCCCCAAAIIIIBACAECoRBA8TxMIBRPfe4djcDb01bJUw/9bL61V58M+ecb4yXcGcfMN7pwhUDIhZWSQEVa8Gme3Hb1d+YT62ntn5o+XtqrMdusC4GQVYN1BBBAAAEEEEAAgYYECIQa0onzMQKhOFcAt49YQA+q/ObLK2WXGuDYWCYe1k36DcwxNlvsK4FQi626VlHw//7fWslTA2Aby95jOjrO+kYgZAjxigACCCCAAAIIIBBKgEAolFAcjxMIxRGfWyPgJ0Ag5AfCpisFCIRcWS0UCgEEEEAAAQQQcKUAgZArq6WuUARCLq4cipZwAgRCCVflLfKBCYRaZLVRaAQQQAABBBBAIC4CBEJxYQ/vpgRC4TlxFgLNIaBnUvvovfUBt9pvYlfJyk4J2M8OBOIhQCAUD3XuiQACCCCAAAIItEwBAiEX1xuBkIsrh6IhgAACLhQgEHJhpVAkBBBAAAEEEEDApQIEQi6tGF0sAiEXVw5FQwABBFwoQCDkwkqhSAgggAACCCCAgEsFCIRcWjG6WARCLq4cioYAAgi4UIBAyIWVQpEQQAABBBBAAAGXChAIubRidLF0IFRcscTFJaRoCCCAAAJuE+iUebzbikR5EEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBAAAEEEEAAAQQQcKEAgZALK4UiIYAAAggggAACCCCAAAIIIIAAArEUIBCKpS7XRgABBBBAAAEEEEAAAQQQQAABBFwoQCDkwkqhSAgggAACCCCAAAIIIIAAAggggEAsBQiEYqnLtRFAAAEEEEAAAQQQQAABBBBAAAEXChAIubBSKBICCCCAAAIIIIAAAggggAACCCAQSwECoVjqcm0EEEAAAQQQQAABBBBAAAEEEEDAhQIEQi6sFIqEAAIIIIAAAggggAACCCCAAAIIxFKAQCiWulwbAQQQQAABBBBIMIHaGvXANbXmUyd5kkTU/7EggAACCCCAgLsECITcVR+UBgEEEEAAAQQQaBECtdW1Ul1RKzVVtaLXfUFQiJLrcCgpWSTZozIib7J4UgiLQpBxGAEEEEAAgZgJEAjFjJYLI4AAAggggAACrUugulwFQJU1Ul2pWgDVNwJq1EP6AiIVDCWrgChZveptFgQQQAABBBCIvQCBUOyNuQMCCCCAAAIIINByBVTwU1VW4/vXVCFQQxi6FZE3XbUeSqX1UENOHEMAAQQQQKCxAgRCjRXk/QgggEC0AjXl6i/tW23vrq3MV391L7fta2ijtrpCaqvs1wh6fnKa+ut7x6CH9YGk1B4Bx5M8OaprR07AfnYggEDrFtBdwKpKq33dwpojCArQVHmQDoW8GR5aDQXgsAMBBBBAAIHGCxAINd6QKyCAQAIL1FbtVGNn7PQJWMOcGh3sqMDHutSUb7Ruttj15LTu9WW3hkxJaZL0W+BEiFRPxBoCLVFAdw2r3FXdZN3CGmvgSUuSlDZ64KHGXon3I4AAAggggIAhQCBkSPCKAAIIGAKWlju1FRt8e60tcWprVKscHfiwhCWgQ6Kk5FQ1imx9CyWjJRLBUViEnIRA8wmo7mGVJb+1Cmq+u4Z3JxUG6a5k+h/BUHhknIUAAggggEBDAgRCDelwDAEEWqWA0aqntrpIRLXuMcIegp44VrcvLOrgK0ByWl23NSM0Sk7rGceCcWsEEkdAzximw6C4dA+LgFmPMZSalSy+6ewjeB8VlKulAABAAElEQVSnIoAAAggggIBdgEDI7sEWAgi0EgE9No+vFY8KfGqq6oKfGh0A6XWWFilgdFUjMGqR1dfiCl1RVSM1v82iVVqpQhK/JSVZtVRRwUR6SuuYEsvXRUyHQS1l0a2F1NhC3nT6kLWUKqOcCCCAAALuEyAQcl+dUCIEEIhE4LfuXbprlw5+dAhEd65IAFvJuUYLI6Nbmh4I25OtBtHu5Ouq1kqekseIoYAOgErVdOplKvwpK9dhUPhzqicnqWAoLVmFQx7JUAFRqpo+vSUtLS4MsuDqQadTMhlbyELCKgIIIIAAAmELEAiFTcWJCCDgCgEdAJWr8Ef9qy7/lRY/rqgU9xfC17qIsMj9FdXMJdShz47SKikuq5KqqvADoFDF9HqTpE2qR3IyUiRFtSJy89KSwyDDVXcdS8shFDI8eEUAAQQQQCBcAQKhcKU4DwEE4ibg6/5V9utvQVDrmKkrbpjcOEDAFxapFkXJ3mxJ8uoWRalq/GvGLQqAakU7KqtVELSrQorUlOqxXtJTkyU7PUWy0lVg4bKlqrRGTSuv5pZvBUuSapSVmq2mp3d5ANcKqHkEBBBAAIFWJEAg1Ioqk0dBoLUIGOP/1PhCIBUA+U3f3lqek+dwuYAKiJJ1tzM9yHVSmujZ0qLtgmYMZB70ifXMdWq8K30P/4Vwyl8k+m3dImh7SaXs3FUV/UWifGeq6krWISvVNWMO1VTWSkVR7AOxKLmie5tqjKVbChEKRcfHuxBAAAEEEk+AQCjx6tyVT2x8WfKN/VJb7iuj7hIU8WJ0CbG+8bexRMxdvnNUKwCW+Ak4TOuu65tZvuJXJdw5AgHf75AOvtZESZ5U3xuNmeqMq8RkAPPf7itGa6ZUFVQ5/D4rKiqSO+64Q+bMmSMTJ06UBx54wChWQr/uKq+WbSUVTdo1LBpQ3WJIB0NxHWdI9Y4r31GlfudG8wQufw+hkMsriOIhgAACCLhJgEDITbWRQGWpKV8vvkGAfWPBxLkLkPEly+JvzGJk7iJUMimcVoxAzzhmC/Z+m+FLH6up3EZrHwOJVwSaSkD/Dkvv52vJ5EnvL/9+b5YvEDIuP23aNBk0aJCxmXCvulXQ1qIK2VXmrtYwuVkp0q5NSlzqQ08tr8cOarULoVCrrVoeDAEEEECgaQUIhJrWk6tZBEpLS6WiokLKy8t9/ypLN4uU/SBJFWulprpMqqurpVb9h3rXrl0kPT3d8s7wV8vKymTz5rzw3+B3ZlPfu6K2vd8d1JjHtRlqtpqMgP0DBw6UrBzVysChi0jAyZYduvtIYWGhfPvtt5a99lVv0g5Jlkr7TsvW0KFDJScnx7dHB3PBlho1Y5d/d61du3bJ5nXfBXtLyP1NbR7yhpYTuLcFI8xVt/2MhVls32mJWt8bttTIC6/NlpUbkqVC/RrQLYR0S6FwF92yKNqlb9++ov9FuzT1vfVYQVt2liuH0E1hVq9eHW2xJbddruS2zY34/bobWafsVJn3+acRv9d4Q5s2beT999+X5cuXy9FHHy1Tp041Djm+VlfUSmVxfTgW7nN7PB7R/7xer+NrSkp8wi3Hh9Q7CYWC0nAAAQQQQAABQ4BAyJDgNWqBkpISWbx4sRQUFMj27dt9/3SXBb2keSukXVaRdMstUOMmOI/ZMHLkCMnNbRvV/QsLd8h33y2J6r36Tdw7cjrMIzfjs8bPdySfmsb+jPXo0U2WLl0ha9ZtUYPsDpPLrn/K17Us3DLo7mbRLgceeGBE4ZP/fZry3noa+U3b1ayE6g8P4Sxz584N5zTHc/r06RN1EKanrH/zlWdkV9F2x2uH2qn/QPDZZ5+Zp82ePVuys7PNbduKoigrVP9bbCFpzHPbrq02dFiUkZHh+yOPfjXW27ZtK0nqOZt7Yfax5hbnfggggAACLU2AQKil1ZgLy6tbENx77722knXK3i7ts4ukfWaJbb/TBqGMk0rD+xr7hRHzhn2djmLupBJ6H5+10Eb+ZzT2s9anTy8VTvSxXTa5zRDxZu+rxj2qaxloO+i30ZShjN+lQ2421b3LVIugvMLwwyBdsMYEI40JhIx7529cJSWFW0Ma+Z+wadMm+eqrr8zdM2fOlO7du5vb1hWnKeYb89zWaze0roPCeC2+UKit+2Z4i5cH90UAAQQQQMAqQCBk1WA9aoF77rnH1y0sJ6NY+nbKk8y0irCvxRfGsKnMExv7hRFzkzLsFczDprKdyGfNxhHWRmM/a06BkO/Gaqwhb/Y+4snas8FyNFUo0+BNghxsinvrlkEbCsqC3CH47sYEI00RCOmSRRMK9ezZU9555x3RwZDuMnb77bcHfchy1TrIfyDpxjx30BtZDmRmZsro0aMte5p/1ZOWJCmZhELNL88dEUAAAQTcLkAg5PYaaqby6VY+0Y7jo4v4xqt/F2/5YsnJKPWVODOzja/puL5menqa41Pk5taNt5CVlek71/GkEDurqqqkuDh0K6Rgl+HewWSC78c8uE1DR/isNaTjfIzPmrNLqL36d25Dv8+T07pLSvujgnYjC3dMGady6N/rxu92p+Oh9jX23jmqa9K6/LKwu4lZy1O4o9C6GdF6epr+37roxsLTN7LeOy25Wtp46sf4CVWQcM2dWgf57q26nIWzFBcXqxnaArt+6/9+0P/0smPHjoBLdejQQYYPHx6wv7l3eNuo8Y/Sm7/bWnM/J/dDAAEEEEAgEgECoUi0Wtm5+j/svv/+e19Tcz0A9BVXXBHxE+rZpaqKvpSdWxb7/kMx2rGAIr4xb0AAAQQQiF5AtRZKyZ0kyRkDor+GC9+5qVCFExWhB5B2YdFtReqYkybZ6U3boqV8h5rIQQ2y3RyLHtdIL/o13MAqWLk2bNggnTt3lqYYtDolSw2MnUooFMya/QgggAACiSdAIJRAdV5TqcYmqCn3Df6sg6ANq7/yzQJmEJx4wgmSlZ3l26ytrpDaqtBjGdSUx3nKeKPwvCKAAAIImAKzZn0sq1evlw4dcuWwww5WgwzX/W43T/htxZt7sHgyd/ff3SK3txVXyM5dgS1YWuTDqEL3aJ8uqd7kJil+TWWtVBSF3+qoSW7aBBfRrZL0pBV6QOqOHTtKt27dpF27dtFfWWVBaW29ktQ0rNGXg3cigAACCCDgEgECIZdURFMUo6Z8vQp86oIcY7rwmmo121dVkdTU1MjWrfmyceMm2bmzbgYw/3sOGNBPevbs4b+bbQQQQACBFiSwbVuBzJjxb7PE48aNlhEjhpnb/iuezJHizZ3gv7vJtvXU7+VqkOdK9b9D1dXq9bdWKkZLHj31erL6op7iSVLTmev1JGmT6vFth1sIPYj0pu2RjxsU7vXjcZ7XmyQ92qX7PBp7/8qSatFdxlra8ssvv4huIWRddNc8PWh2165do2o1xCDTVk3WEUAAAQQSXYBAqKV+AlRLn5ryDXX/KjZIbWW+45PoIEiHQOvXb1CDPjc80HOXLp1lyJBBjtdhJwIIIIBAyxCINBDST6VnIUtpd0iTPaAe2LmorEp0UFOh/kWz6EBEB0PZ6d6QLWVaS1cxf6f01GTpltvw2EQbN26Uhx56SFasWCGnnnqqTJ061f8yUrbdPtV8wAku3bFw4UJzfCL/IiYnJ/uCIT2odlqa81iF/u8xthlk2pDgFQEEEEAg0QUIhFrQJ0B3+aopWaYaAQUPgIzH0eMD6RBow4aNamyf4M3E09JSVTPsDr6WQY0ZENO4L68IIIAAAvEXmD9/oSxfvlJ9Ye4i48aNCdplzFrSpgiFisuqZfuuCvW/O03bGkWHQ1kqGGqb4Q1oMVOk7pm/s9z6KK1qPTfTK+0yU4M+07Rp03yBkHHC7NmzVX1nG5u+cYP0+EEtcdm8ebPof06DVRvPo7uTdenSRXr37i0ZGRnG7pCvetYxHQyxIIAAAgggkMgCBEIur309aHN18Xeqqfevvq5foYpbWVkpa9euU62CNvu6iTmd7/F4fCFQ165d1GCPbZ1OYR8CCCCAQAIKeNuOV9PSj4r4yWMVBPkXRAdD7dqkqnCofsDldQWlTR5A+d83ntu6C113NZ6Q7lLntDz44IPy+uuvm4dmzpzpazlj7KgqrRH9ryUvehaz9evXS35+vmrtHDz80+MM6WDIGogFfW7GEwpKwwEEEEAAgcQRIBByY12r7mDVZb/6gqBgXcGCFTsvb4ssW7bC8bBuDdS3bx/V776L43F2IoAAAgggEMlA07vKq2VbSdO3CApVCzoY6pSdJuWqa1pBUcPdoUNdqyUcz8rw+J7Xqay6q9g111wjmzZtkqOPPlpuv/1222nNObuY7cYx2tChkG41tG3btqB30ANPDxo0SEK1fGY8oaCEHEAAAQQQSBABAiE3VbQOgkq+lari732zgUVbtAULvrSNF9S2bY6vS5juGsaCAAIIIIBAKIGUzqdIckqnBk/bvqtSCosrGzyHg00nEM2sY7WqYVB5YeuZec2qqVsNrV69WvLy8qy7fet6TKHRo0eL1+sNOOa/w5ueJN429S3O/I+zjQACCCCAQGsWIBByQ+02URBkPMrmzXlq7Iif1XTD7X1BEN3CDBleEUAAAQTCEvBmS1qnU9Vo04GD9dbU1spW1Spnlxq7h6X5BMIZYNq/NHpmMT3DWGtenIKhwYMH+2YhC/e5U7M9KgB17pIX7jU4DwEEEEAAgZYoQCAU51qrLlYtgooWNapFkNMj6P9ACtVU2ul97EMAAQQQaPkCelDpJUuWqbFUMmXixP2lW7euET+U0yDTevYwHQZFO3NYxIXgDTaBLm3TpE1a+K1ZWsP4QTaABjbqJtOoG2dItw6KaFFZUHquak1EJhQRGycjgAACCLR8AQKhONVhTfl6qdrxedDp4uNULG6LAAIIINAKBJ5++iXzKQYN6q9CoQnmdiQrKe2PkOSMAb636DBo0/Zy0S2EWOIjkJqSLD3aNTwNvbVk5TurpbaJZ3yzXr81rXtSkyQlK/ywrTU9O8+CAAIIIJC4AgRCzV33qntY1c4v1VhB3zX3nbkfAggggECCCLz44jSpqKgb36cxgZDuMpbW5UypSUqVTYXltAxywefHfyyhjRs3+qadX7x4sUyePFmuvvpqs5Rl29X4QeR3pkeoFR0I6WCIBQEEEEAAgUQRIBBqxprWrYIqC95v8u5hzfgI3AoBBBBAoAUILFnyo/zww1I1llw72XvvUb4x5aIttidzD8mr3ZcwKFrAJn6f/4xj06ZN8wVCxm2Maedb84DSxrM2+avKgtLaeiUpucmvzAURQAABBBBwpQCBUDNVS3XRQtUySI0VxIIAAggggEALEthW2V3KMg6SpKTAAaZb0GO0qqL26ZQhyUl1LVmCBULVFWpA6eLWPaB0LCpVDy6tB5lmQQABBBBAIBEECIRiXcuqi1hl4UdSU7oqojvl52+T6upq6dKlc0Tv42QEEEAAAQSaSqC4qq0UVPWQJG+OeDKGNtVluU4jBdpnp0rbjLop1XWXsWuvvVb0q+4yds011/iunkgDSjeSM+Dtehp6PR09CwIIIIAAAq1dgEAoljWswqCK/P+LaODompoaWbnyV/UfdpvF6/XIyJF7SFZWZixLybURQAABBBAIEKgRj2ws201qpK7/jCdzqOpKkxNwHjuaX8DrTZJe7TMavLFuHaRbCbGEJ6BnKVu5cqX07dtX0tLV2Fl0HQsPjrMQQAABBFq0AIFQrKovijBITxWvx33YtavULJUOg0aOHKHCobq/BJoHWEEAAQQQQKABgYqKCt/R1NTUBs4KfmhHVSfR/4yFVkKGhDteQ01BzwxjkdXT8uXLZfNm/cc4rwwdOlQ6dG5P17HICDkbAQQQQKAFChAIxaDSaiq3SmX+OxENHr1jx05fGKS7iVmXzMw2Mnz4UElPD3+aWev7WUcAAQQQSDwB/ceF+fO/8j34uHGjZcSIYREh+LcOMt5MKyFDIv6v/oNL+5eorEDNMMYSloAOgnQgZF0GDBgg/Yb0YdYxKwrrCCCAAAKtToBAqKmrVLUMKs97OaIwaOvWfFm6dLnU1tqbdnfo0F6GDBlE66CmriOuhwACCLRygddf/5cUFZX4njI7O1OmTDkxoifWA0mXVOcGvCcppb140gcF7GdH8wvoQaX14NKOi/rPCd+U844H2ekv4BQI6XO69+guI/bZXYThhPzJ2EYAAQQQaCUCBEJNWZFRdBNbv36D6rMeOOB0jx7dZODAAU1ZOq6FAAIIIJAgAjNmvCvbthX6nrZDh1w54YRjw35y3TpofdngoOd7skYx41hQneY9oLuNFW7L8w0qvWLFCpk4caI88MADUlNZKxVF9hbHzVuylne3/Px8WbZsmW9CD2vp22Sny34HjRWPh5nHrC6sI4AAAgi0DgECoSasx8rtajaxXcvCvqIePHr9+o228/V/cAwc2F+6du1i288GAggggAAC4Qps2rTZ1w1Zn6+7i3Xr1jXct4oxs1iwNySldFKthPiDRTCf5tyvu419+O8Z8tBDD5m31dPQ9++9m1TtIhAyUcJcKS4ulh9++EHKy8tt7yiq2CGTjztK0tLSbPvZQAABBBBAoKULEAg1UQ1W7Vwo1UWLwrqa7hqmu4jprmLWJS0tVY0XNIxZxaworCOAAAIINKvA1opeUlqTHfSeSUle8WTuqbrRMNlBUKRmOqC7jX3x4f/ZAqGZM2dK53ZdRU87zxK5gJ5t7Ntvv5WSkroul/oKVdVVsj5/tUyZOkVycphpL3JV3oEAAggg4FYBAqEmqBnfINJbpod1JT2t/Pff/yB6EGnrogeP3nPPPRgvyIrCOgIIIIBAswqE6i5mFMaTMUDlQfUzkBn7eW1+gSTVeuXxhx+QxYsXy+TJk+Waa64RZhhrfD3o7mN5eXnmhTbnb5CC4m1y+umnS6dOfPZNGFYQQAABBFq0AIFQE1RfxZY3pLbS3trH6bKVlZW+JvxFRcW2w4RBNg42EEAAAQTiJBCqu5hRLAaXNiTi/+o02xiBUNPUi38o9OPKJVJRVSZnnnmmdO/evWluwlUQQAABBBCIowCBUCPxI+kqVlCw3RzTwbgtYZAhwSsCCCCAQFMKVFRUqLFQKiQ7Oyvsy4bqLma9EINLWzXit+4025hvhjH7xKXxK2ALv7M1FCopLZYlP3+rfqay5YILLvC9tvDHo/gIIIAAAgkuQCDUiA9AbdVOqdBTzEewbN6cJ8uX/+x7R9u2OWrMoKF0E4vAj1MRQAABBEILrF69RmbNmuM7cdCg/mr2qQmh36TOyKvoK+U1bcI615PeV5JSwh+sOqyLclJUAt3apUt6SrL53rKCKnOdlcYLWEOh9XlrRf/r2bOnnHPOOZKcXO/e+DtxBQQQQAABBJpXgECoEd6VBWpWsdLwZxUzbqVDocLCHTJkyCBjF68IIIAAAgg0mcCsWR/L6tXrzeudffYUSU1NNbeDrWwsV7NT1aYEO2zbn+TJFE+bEbZ9bMRHIDfTK+0y6+uXQKjp62H9+vWycuVK3wDTeYUbZOrpUyU9Pb3pb8QVEUAAAQQQaEYBAqEosWvK10tl/jtRvpu3IYAAAgggEDuB+fMXqi7KdX+wSE1NkbPPnhrWzdaWDQ3rPOMkb9ZoZhszMOL0WlRcJO/8379k5usvyN577y3//PuTUlHElPOxqI7NmzeLDoZGjd5TMtsTBsXCmGsigAACCDSvAIFQlN6V+W9LTfnGKN/N2xBAAAEEEIidgJ68YPHib0SPIzRo0EDp27dPyJuFO8OY9ULMNmbViM/6kh+WyPx582X2e29KVWWFTJ/2pvTo2Ds+hUmgu6ZkecSTmpRAT8yjIoAAAgi0RgECoShqldZBUaDxFgQQQAABVwuU1WTKlorQwZH1IZJSOoknfYB1F+vNLLBixQqZM2eO/PjNfNm4ZiWBUDP5J6mhg9LaelULuWa6IbdBAAEEEEAgBgIEQlGg0jooCjTeggACCCDgaoGoAqEkr3h0tzGWuAnoVmDz5s2T779eKG3Tk+SWm26TyhK6jDVHhXgzkkX/Y0EAAQQQQKClChAIRVhztA6KEIzTEUAAAQRahEA0gZB+ME/WCElKymwRz9iaC2lMP19VWiP6H0vzCKTlekW3FmJBAAEEEECgJQoQCEVYa7QOihCM0xFAAAEE4iKgW47osYQ6dGgf1v2jDoSYfj4s3+Y4qYca6Di5UgiEmgP7t3skpyRJaranGe/IrRBAAAEEEGg6AQKhCCxrKrdK5ZbpEbyDUxFAAAEEEGh+gW3bCuQ///lAyssrVCCUKyeccGzIQkQbCDGOUEjaZjtBTz+fnewlEGo28bobMcB0M4NzOwQQQACBJhMgEIqAsrLgI6kprZvGN4K3cSoCCCCAAALNKqBnGFu8+HvznpMnHy7dunU1t51Wog6EPJniaTPC6ZLsa0YB3SIsKzNdOqemSHV5bTPemVsxwDSfAQQQQACBlipAIBRmzdVW7ZSKvJfDPJvTEEAAAQQQiJ/AihU/q5mn5pkFmDLlBMnOzjK3nVaiDYT0tbzZY50uyb5mENBB0Iy3Z0jRziLp0LGDXDZ1qtRWEQg1A73tFgwwbeNgAwEEEECghQgQCIVZUVWFn0p1Sf1fW61v27Jlq7Rv3068XjX9KAsCCCCAAAJxFtAhgW4llJ9fIIMHD5RBg3YLWSICoZBErjzBmHbeKNyUI46QQf0GGJu8NpeAmn5eT0PPANPNBc59EEAAAQSaQoBAKEzF8k3PiNSUB5xdWLhDvvtuiQqDPOo/ugdJR/XXORYEEEAAAQRamkBjAiFmGotfba9evVpmzZplFuCCk0+V7h07mtusNJ+AJy1JUjLtA0wXFhZKbm5u8xWCOyGAAAIIIBCBAIFQGFjVJUulqvDjgDNra2tl0aLFUlpaZh4bMKCf9OzZw9xmBQEEEEAAgZYg0KhAKHOoahmR0xIes1WWcc6cObKtYJt0795dDtl3vOSk0mI5XhWtZxzTM4+VlZXJ3Llz1X8nLpKLLrpI/cGQkC5edcJ9EUAAAQSCCxAIBbcxjwSban7t2nWyatUa8zyPxyOjR4+S9PR0cx8rCCCAAAIItAQBAqGWUEuhy5impp1vn5Ea+kTOiImADoMKSrbK9OnTRbcO0ku/fv3kzDPPjMn9uCgCCCCAAAKNESAQCqEXbDDp8vJy9Vefr6W6utq8Aq2DTApWEECgKQSSU9VfmjtKTWW+6rJa0RRX5BoJJrBp02Y17Xx7SU0NHRAQCLWOD0d6RZJkp3vFm6wGtWGJi0BZzS559ImHbfc+4YQTZPjw4bZ9bCCAAAIIIBBvAQKhEDVQtXOhVBctCjjrhx9+km3bCsz9mZltVOugvcxtVhBAAIHGCnhzD1ZDl/0qNaWrGnsp3p9gAnpQ6ddfnyHl5XVBYqxnGfPQZcw1nzAdCGWkeCQ9Jdk1ZUq0guiBpRd+N09mz5ltPnpOTo5ccsklYYWz5ptYQQABBBBAIMYCBEIhgMvzXhKpKrKdVVCwXZYs+dG2b++9R0lWVqZtHxsIIIBA1ALe7IDfPVFfizcmnMDq1WvUQMNzzOceN260jBgxzNx2WmlUC6GsUZKUlOZ0WfY1k0BRcZFkZ2WLDoRSVOugLNVKiCV+AjWeKnn6hSdlx44dZiHGjx8vhxxyiLnNCgIIIIAAAvEWIBBqoAZqSldKZcH7tjOcBpLu06eX9O3bx3YeGwgggAACCMRLoKio2NdCyLj/YYdNDPm/UzuqOon+F83izR4bzdt4TxMI6NZgM96eIUU7VSCUky1nHnuK6DEN27VJaYKrc4moBVSPvbV5v8rr0183L6HrhQGmTQ5WEEAAAQRcIEAg1EAlVBZ8pLpqLLOd4T+QdFpaqq+rmNfLX+JsUGwggAACCMRVYMWKn2X16rXSrVvXBlsHvbygrmVPeW2WlFWrlmlRLMnp/FEkCrYmeUv+1q2ycuVK81oHj95HJo8ZzDhCpkj8VvQ09DP+/ZYsX77cLAQDTJsUrCCAAAIIuECAQKiBSijf9IwayLXcPMNpIOnBg3eTrl27mOewggACCCCAQEsSuP7tTNm83Ss14pXq2uhalSR56DIdrzqvUONEFRXt9N0+KSlJzp40Sg4b1V/apHokzcs4QvGqF+O+ZUkl8uRT/1TjedX/9yQDTBs6vCKAAAIIxFuAQChIDTh1F1u2bIXk5W0x38FA0iYFKwgggAACLVSAQKiFVpyl2CXFu6SqqlJSU1LljIP2kIlDe/jCIB0KscRXQLcS+mLRZzJ37lyzIB06dJCLL75YkpMJ7EwUVhBAAAEE4iJAIBSE3b+7mO6jv2DBItFjCBnLyJEjJDe3rbHJKwIIIIAAAi1OIJEDoYqdm6R4zbeS3rGvtOm2e4uru4ACq/9EOXHMbr5ASE87r6efZ4m/QG1qlTz690dsrYSOPfZY2XPPPeNfOEqAAAIIIJDQAgRCQarfv7vYL7+slA0bNplnt22bo/6HfA9zmxUEEEAAAQTcJrBp02Y1A2aWZGdnBS1aogZCNVVlsuGDh6SmstRn027EEZIzYL+gTi3igCUQ0uXNVQNLq7GNWeIskJySJPMWB7YSuvTSS+NcMm6PAAIIIJDoAgRCDp8A/+5iVVVVMn/+l1JTU2OeTesgk4IVBBBAAAEXCrz++r/U2DIlvpI1NMtYogZCpfmrZcvnz5k1l951iHQZe5q53SJX/AIh3UJItxRiib+AUyuhU045RYYMGRL/wlECBBBAAIGEFSAQcqj6qsJPpbrke9uRsrIy32wtegwhWgfZaNhAAAEEEHCZwLZtBTJjxr/NUvXt21MOO+xgc9u60thAKClJjYOSnGG9ZItY1y2ENn/2nFTu2Owrb+f9z5MM1XWspS5VlVWiZzw1uozp58hI8Uh6CuPUuKFOnVoJ9ejRQ84//3w3FI8yIIAAAggkqACBkEPFV2x5Q2or8x2OiOhgqKqqWjXBZ0YVRyB2IoAAAgi4QuDFF6dJRUWlryzjxo0OOvV84wMhNXBxcrornjnSQuhQaNfGpZKa21VSc7rZ3r5z5Xwpy18l2aobmZuDIj22YWHBdqmpVfPEebxyzqF7y6ThvXzPkupJlsw0Bpa2VWwcN/xbCY0cOVKOPvpoX5AXx2JxawQQQACBBBYgEPKr/NqqnVKR97LfXjYRQAABBBBoWQJ6/KDly3+WDh3ay+DBu0lqaqrjAyRyIOQIonbu2rRUti6cZh7uNGaqawedLi8rl+LiIl9ZPckeOWX8UJk8ZnDdtuotlpORYj4HK/EV0K2Evv5xke+Pi2PHjpX09JYZpMZXkbsjgAACCDSlAIGQn2Z1yVKpKvzYby+bCCCAAAIItE4BAqHAei1Y8l8pUi2EjKXtkEmSO+QgY9NVr9Wq1XJh4XZfmVJUC6HTJ+4hh43qb5axrQqEGEbI5Ij7SkqWRzypjOsU94qgAAgggAACPgECIb8PQmXBf6SmdLXfXjYRQAABBBBonQIEQoH1qqejz/vseTUDWZkkp6RLlwnnBnQpC3xX/PaUlZb5pjTPSM+QqQcM8007b5SGgaUNCXe86lZCqdl043NHbVAKBBBAAAECIb/PgP90836H2UQAAQQQQKBVCRAIOVenHl+oeM3Xkt6pX0AYpLuUVe0qlKw+oyTZ655uP0lqlrETxuxmC4QYWNq5fuO5VwdCOhhiQQABBBBAIN4CBEKWGqgpXy+V+e9Y9rCKAAIIIIBAyxVYs2atr/B9+vQO+hAEQkFpHA9YxxdKTsmQbpMuFm9GruO5zb3TKRBK8yZLm1RapDR3XTR0P1oJNaTDMQQQQACB5hQgELJoV+1cKNVFiyx7WEUAAQQQQKBlCsya9bGsXr3eV/gRI4bIuHFjHB+EQMiRJejOTaorWcW2VeZxN40v5BQIedUAQrrbGIu7BNJyvZKU7K4yURoEEEAAgcQTIBCy1Hll/ttSU77RsodVBBBAAAEEWqbA00+/ZBa8W7fOMnnyEea2daXxgdD/s3ce8FGX9x//3F1yd9kbSBgJe+8VQDaCA1y4wLaoVLTVVqsdzn/t0GodddU6q1gVF4pCraAMAQ0gyAgzCRBGEgjZO5fc3f95fuF+uUvuLpeQcZf7PK8X3vN7fs98Pz9b/fgdInuZ1n8yWTlaCBmFhdCdXmEhVFtTK9LO63Bt8gAHlzF511HB/nM/9t+2N9d1Bg0CQ2i55c13xL2RAAmQgD8QoCBkd8vVWS/ZPbFKAiRAAiRAAr5LYPXq/yEnJ1c5wIABfTBjxlSnh6Eg5BSL28bKvExU5x2HIbY3gmKTHPrKgNSy6MPjHdrb6sFqtaKooBAWqwX6gED8dOZIzBmZ5LBcuLAQ0jHVmAMTb3iglZA33AL3QAIkQAL+TYCC0Pn7Z/wg//4bgacnARIggc5GoLS0DGlp6dDr9UhKSkRYWKjTI1IQcoqlRY1lJ3cj/8dPlbEhvUYjdsw1LZqnOYNM1SaUlpYoQ6QgdI0IKn3lpCEOUwTrA2AIYBBjByhe8BBg1CAgmFZCXnAV3AIJkAAJ+C0BCkLnr57xg/z27wEenARIgAT8mgAFoda7/lP/fVykqq9UJ5QBp9vaUshitqCwsEBZUwpC108ZgsvH91f3ICvMNOaAw3sehEZnFLGEQK3Oe+6EOyEBEiABPyNAQej8hTN+kJ99+TwuCZAACZCAQoCCUOt9CPYBp7WBRnSfd1+7pKWvrqqGyVQNo8GIRVOHNoohFCjcxUIZWLr1LroVZ5JxhGQ8IRYSIAESIAES6AgCFITOU6/OeR0ionRH3AHXJAESIAESIIEOI0BBqPXQW2qrULDvS9SUFyFm5KWNrIPke22AsfUWbDCTsyxjsotO6A3hQQws3QCXVzxqxOUYIug25hWXwU2QAAmQgB8SoCAkLt1Scw41uR8q13/6dJaIsxCGiIhwP/wceGQSIAESIIHORODEiZOorq5WYgjJWELOCgUhZ1Ravy1PxBYqFzGGAoIjEZe8uJFY1BoruhKE5NzMNNYahNtmDikISWGIhQRIgARIgATamwAFIUHcXLYbtcXfwWKx4Lvvtim/AQE6xMTEYNCgAe19J1yPBEiABEiABC6YQErKdqSmHlbmSUrqgblzZzudk4KQUyyt2igzj+VseFmdMzAiHgkzf6k+t1bFnSAUJlzGAphprLVQt+o8DVPQy38e1Wq1rboGJyMBEiABEiABZwQoCAkqNQXfwFJ5GEVFxdi7N1XlFBMTjWHDHDN1qC9ZIQESIAESIAEvJmCfdl5uc9myJU53e8GCkFa4QGno8uIU7vnGhoKQsdsgdE2+yd2QZr2TqefNtWYE6AJwbXL/RjGE5GTMNNYspO3bWRgH5ZZk49DhQ8jMzETfvn0xZ86c9t0DVyMBEiABEvBLAhSExLWbcj+AtSZP/J/wCZw4cUr9EPr27Y0ePbqrz6yQAAmQAAmQgK8QsLcQiomJxMKFVzrd+oULQkFCEKI1g1O4do0yJX1h6peQwaZb22WsML8AFqsFRr0MKj0Ec0f3sVu5rspMY42QeE1DVVUV3v/kXZwrPKvsKTExETfffLPX7I8bIQESIAES6LwEKAiJu63Oekm54T179qG4uES97bFjRyM0NER9ZoUESIAESIAEfIWAyWRS/kNHdbVJiSEUFhbqdOsUhJxiaddGGV+oOu84IgbNQmiv0c1au7amVvyzS5EyRgpCV4xNwtVThjWaQ6/TIsRAS65GYLykYd03a7H70E5lNwEBAfjDH/4A+ctCAiRAAiRAAm1JwO8FIUv1adTkrXKIH2QDPn36RbYqf0mABEiABEigUxKgINSx11p0eCOKD29QNxE3cTGC4werz01VLGYLCgsLlG5SELp20kBcPr5/o2FMPd8IiVc17N+/H998txbVpiplX0uWLBFCbpJX7ZGbIQESIAES6HwE/F4QsgWUbhg/SGYZGzVqROe7cZ6IBEiABEiABOwIUBCyg9EBVVv2MdvSUcMvRXjfybZHj35NwgqsRlgKGQ163DBlsNMYQnIiZhrzCGeHdJKxg75N2YQzeVnK+tOnT8eMGTM6ZC9clARIgARIwH8I+L0gZAso3TB+UGJiT8XE3n8+BZ6UBEiABEjAHwlQEOrYW6+tLELutvdQU3wGgRHd0G3qUmgDRKDuFhR3WcbkdBFBgWCisRaAbYchRUVF+H7bd0hN36OsxjhC7QCdS5AACZAACcDvBSFbQOn9+w8iXwRltJWRI4cjMjLC9shfEiABEiABEvA5AidOnERpaRkSE3uBMYS8+/oq8zJhiOzWSAySwahl8SS2UFOCEFPPe/c38O2332L34Z2K25jBYMD999/v3Rvm7kiABEiABHyegN8LQraA0jt3/ojy8gr1QqdMSWYwP5UGKyRAAiRAAr5GIC0tHZs2fa9s2yBciZYsWeT0CLQQcorFKxoLRFay0qMpyl4CI+KRMPOXbvfVlCAUrNfBEMCMcG4hduDLnTt34kD6ftVt7L777hPJTZwHg+/AbXJpEiABEiCBTkTArwUhW0BpeZ9bt6bAbDYrV6vT6XDRRZM60TXzKCRAAiRAAv5GYNOmLUhLO6Yee8GCeYiP76Y+2yoUhGwkvO/3xKpHHDbV5aKlCIpNcmiTD1arFTLbWIAuANdNGuAyhhBTzzdC51UNGRkZSMs4orqNMbC0V10PN0MCJEACnZKAXwtC5vJDqC1aj6qqKmzfXpfqU94yA0p3ym+dhyIBEiABvyJgbyGk1wfi5psXOz3/hQtCIYDG6dRsvEAC9hZCAcGR6D73PqczFgqXd4vVApllbNHUIZg7uo/Tfsw05hSL1zTKwNInTpzAzgPbUGuuxZVXXikSnIzymv1xIyRAAiRAAp2PgF8LQrUl22Eu/QEFBYVITT2g3m737vHo16+v+swKCZAACZAACfgiAZkwQcYQSkpKbLsYQjohCLG0GQEZQ8hUnIPQxNHQh8c3WkdaBhUXFyntQcYgLBidiKunDGvUTzYEiIjSMo4Qi3cSyMvLw4EDB3D0VDrOFZ7FlClTMGfOHO/cLHdFAiRAAiTQKQj4tSBUk/cpLNXZOH06C0ePHlcvlBnGVBSskAAJkAAJdHICF2whREGoQ74QW7p6aTkUOPAy6ELiEBIUjKsn9Mfl4/u73BNTz7tE0+EvZKaxvXv3orAkH0cyD2HgwIG48cYbO3xf3AAJkAAJkEDnJeDXglD12eVAbSkyMo4iKytHvWVmGFNRsEICJEACJNDJCVAQ8r0LNpXkIGfDy+rGA8K7IXLCLQgSmamunzLIZQwhOYCCkIrNKysy05gs2/ZtRUxMDO666y6v3Cc3RQIkQAIk0DkI+LcglPWScosyLW9hYZESS6i62oSJE8fBaDR2jhvmKUiABEiABEjADQEKQm7geOmrhoKQsdsgdE2+CRqLBguT+7kVhJh63ksv9fy2tm7dqiQ5OXA0FWUVJXjkkUeg0TBIl3ffGndHAiRAAr5LwG8FIfsMY757fdw5CZAACZAACbgmIP+DR15ePmJjY5CY2MtpRwpCjli6RAUjt7DCsbEZT/PGJ2Jcvzg8tqI+WUUzhnvcVcYWKhRp6WXpOvVWJb4QBSGP8Xltxz179oiYUMVK6vnM7OO4++67ERkZ6bX75cZIgARIgAR8m4DfCkK2DGO+fX3cPQmQAAmQAAk4J5AvMk+tXLlafblo0UKngaUpCKmIMHlYAu67aiT++N4O7D+eX/+iGbWllwzFJWN74rrHvmrGqNbpahOEcvatQ25uDhYsuB59evdzmJyp5x1weN3DmTNnFIt1aK0wRgYiPj4eBuEKyEICJEACJEACbUHAbwUhW4axtoDKOUmABEiABEigownI7JkpKfVWKjNmTMaAAY2DDTdHEHr4povw/Gc7UFphUo+naaOg0g8tGocXPt/nsJa6aBOViYO7oZuw9Pn8+2NN9HR8ndgtHLfNG4IXvtjXYiuhjhCELGYLTCYTDHoDulfsRcr6lcrBQkJC8cI/3kKXLt3Ug1IQUlF4fcUYJTLC0VvM6++JGyQBEiABXybgt4JQTcE3sFQe9uW7495JgARIgARIwCUBmW5+xYo6YUB2ulALoaT4SDy7bA5ufWYNisqq1HXbQhCSwsyzP5+Cpc9vRFFp/Vrqok1Ufn/dGBSVm/Dal/ub6Nn6rztCECoU1mAWq0XJMqZN+xQ5J46oB7tt6a9whbAUspVAkXo+lKnnbTi8+jcwVAednoqQV18SN0cCJEACPk7AfwWh8ynnffz+uH0SIAESIAEScElAikI5OTmK20lYWKjTfp5YCMVGBuOWuSMwaXAPvPHVHpRX1yhzpRw4jRpLfRKGft0jMUD8CTYEIDO3FLvTz8FssTRaNzzYgCFJ0egZG4KT58qQkV2M/OJKpV9sZBBunjMIkwZ1w5vrDqG86vxah87CVFPbaC77Bq0Ivjt+UFfcfcUIpGUVYeO+LOV1TmE50k4VQc49uGc0tqRmIUCnw9DeUcrz4VOF2JNxTnk/tFc0dh/LQ0lZtbof25iIUANG9I5FQkwwcgoqkJqZL1KEOwpW7gShrtHBGCLm7yL2kZ1fgd1izbLKemsr21nc8bH1sf3WCibFxUXKo0w7PyykEOtXvVL3HByKN1//GNJSyFYoCNlIeP+vzqBBYIjO+zfKHZIACZAACfgsAb8VhKpzXgcsdf+w57O3x42TAAmQAAmQwAUS8EQQemrZbMRFhCA8WI8zhWVC5LEqqz6yfDOKK7SKuLL0ksGYO7onzhZVIDBAh2ghnkhR5slPdqtWPlKE+e3CkRg3oCuKhQVPUXk1esWFQgo5Uvz5ckcm/i4sg+LCg8RagWKtivq1/rMdxedFGldHnjGyB66Z3EcINiGorK5F4fn+3x3KwYeb0pE8JB6/u2YUbn1uAx66YSx6C0ukkooafLkzEyu3HFXfP/jONhw5WagsYxvz2Ic7cdeCEagV7lkVYu7uyhpmPLNqN/Zm5KlbciUIXTy2F34+d7AQ02qFCFSjjC8Q+3v6093qWp7wUReyq9hbCF09oT/GJ4Zh2/bNSJ44zcFdTA4pLy9Dj7gou9GseisBjRYwRAq3MRYSIAESIAESaCMC/isInU8530ZcOS0JkAAJkAAJ+AQBTwQheZCrLhqEn80e5uAyptEI6wWtEQun9sXi6QMU8WfH4TPQabUYN7AL7rlyJHam5+KZlbsVFpOGxuO3V4/Cs6v24rv92UqbUR+Aft0jcDynRLUGulKIOj+bNbDFLmMfPDAPG/ZmNXIZs4k7x86WKFZJ73x9GJWmeqsj23tnglB1jRlPfPwj9gnrIVnihNXUw4vGCuHLiDte3KTu3ZkgNLBXFB7/WTJWb8/EO98cFu5dVvTvEYk75w+HUa/Dr1/eAlOtGZ7yUTZg9xezGFsXQ0iP6ycPcpl2fv2G/+G5Fx5HaGgYfn3H3bhs7ny7WVj1RgJSEJLCEAsJkAAJkAAJtAUBCkJtQZVzkgAJkAAJkICPELhQQSjIGIrX756puIg9vHybw6kfEFY44/p3wTIhmEiXsDnCSuYXlw7FXa9sRk5euUNf+4e2FoQOC/exh5an2C+p1N0JQv/94QT+vfagw5gRfWLxx8Xj8fb6w1idclx550wQevQnExRXuqXPbRSWS3UucLLz/OTeuEW4xz0ngmdLNzZP+Thswu7BlmVsxpDudq311RtvulSxELK1bF3neF+2dv56DwHpMiZdx1hIgARIgARIoC0I+KUgZKkWMQ/yVrUFT85JAiRAAiRAAl5DICfnDDIzTyAmJtpphjG50QsVhPr36oYnbp6Ej787iu8P5jicfdqw7rh6Um88+v4OpB7LR0xEEJ5aOllxu1rxbTq+O3DGaVygthaEXlqTio17TjvsVT64E4Se+WwPvj/geD45ZsX98/C9cEl7UYg6sjQUhOS/yr8v+hw8mY/l6+uDPcu+CTGhigubZPfBxjSP+cixzkqTgtBiIQhVlClDQ0Vcoa8++8bZNGzzIgKMI+RFl8GtkAAJkEAnJEBBqBNeKo9EAiRAAiRAAtKF6O23V6ggLjTtvCuXsSkj+uDeq0aq6zir2Cxg5LuE2FDFKmZ0vzglzs/Xu09j9Y7jDsGZ21oQeuTd7TiYWdBoq+4EIVdjXr5rOvKKq/B/IsaRLA0FocgwI94UFlTuytdCnHpFiFSyeMLH1VxNCULHjmfgsccfUEShu39xD13GXIH0onbGEfKiy+BWSIAESKATEqAg1AkvlUciARIgARIgAWkdtHr1WhXE2LEjMHbsaPXZVrlQC6EJQ5Lwh2tH4x+f70Xq8XzbtA6/lVW1Sowc+8au0SG4dFwvJRB1rdmKh4WgclLE9pGlrQUh+xhB9ntyJwg99tEu/JiWa99dqb/5m9k4llOMxz7YqTw3FIRCg/RYft9sEbj6JD7ZmtFovGyoqZGBqutdyWSbOz7yvX2xiEDXUgDUBwa6jSFkGxMUqIMx0DEwzceffYj0o+m47urr0b/vAFtX/noBAWOUCCxNrzEvuAlugQRIgAQ6HwG/FIRqS7bDXPpD57tNnogESIAESIAE7Ai8/fb7QiioExrmzp2BpKREu7d11QsVhHp0i8Xzy6biLREsec22ujg6jRZx0yBTsT8nxm8SMXRe/e9+pac3CkKvfXUQa3eecDhJiFGIPb+dja92ncQb/zugvGsoCMnGt+6dIzKuFeJvH+5yGO/JgzM+DcfZZxm7clxfLJg4sGEXh+eGgtCX69bg8af/qvSRAadffOqfFIUciHXsQ2CoiCOkpyLUsbfA1UmABEigcxKgINQ575WnIgESIAESIAHFaiQ7O0fEEIpBWFioUyKeCkLjByfggesn44/vbkHq0bPKXDLLmFYXhGeWXYRgYwDu/tcWVNll7XK6oJPGp5dNEXu14MG3U5S34wd1w/3C6sgWe8jJELdNcj9V1eZGgaOdWQDZT+Tsva3tyOkidX+2MVdP6YufzBwAmZL+x/RzSrMzQei2y4Zh3uge+O2b3yPzTJ0VlG0OT34b8rEfU1tTi+LiIqUpJCgY84Yl4Lrpo+y7NKrrdVqEGESGuPPlgUd/jy3fb7Y94taf/lz5ozaw0qEEAoK0kH9YSIAESIAESKC1CVAQam2inI8ESIAESIAEfIiAp4KQXrgZvfP7K5AuLF3+sz5VSdeeV1SFqtoADEmKxqOLJ+BsUQVWfncM2QVliI8KQb+ESPEbhL+uqHOnmjW6J3qJGEI/HjuHcyLrWFSoAWP6dlECT7+3KQ2fbj2qkNMHBihuVulZRXh30xERa8iMvKJKhxTx7hBfN60fbpjaD6+vO4Q9R/OgFf8uLbOa2cSdlriMFZRV49CpQqz78SRKK2swVsRAWjS9v+BR7CAUOROEpNvY83dMhT5Ai4+E21hGdjFkW/+ECPEnHK98eRBnC8rhKZ+GZ7e3EJpmiMf0+ISGXRyedRoNDHYuYyfPHceTqx4RfMsRpA/Bn294FjHhXRzG8KHjCAxcmABDeL2A13E74cokQAIkQAKdjYB/CkJFm2Eur8sG0tkulOchARIgARIggeYQ8FQQknPOGdsbl03oh6QuEcoSd7/yDU7n1bmkJcWHY9m8oUIEioBOW+feUmkyY6vIPGYLmDxKiCi3XzoEXSKC1S2Wi/hC/92ZiY++zYDValXbZ4/picvGJYq1wpS2e17bilO5pep7dxWZzUxa7kwc2FUIHzp8d+gMnl25+4IEoQdEmvrLxiUpc0php0bE7UkR87725QEHocqZICT3Gi7Er6VzB2N8/y7KnmSbRZw3NTMfz4sMZcVCcGoOHzneVuxjCCWXxSB+g2M8Ils/d7/FKMAh6w4M1kxABKLddeW7diTQdXwUpv9tMIzRIo4QCwmQAAmQAAm0MgG/FIRq8j6FpTpbQZmVlY2MjGMq1sTEnk5jLKgdWCEBEiABEiCBTkSgOYKQ7dhxUcGQgaLLq8yA1mhrVn4DdDrERRmF65gZJWUmmC0Wh/fyQVrHhIfoRSBl4e4khBB7Iahh57hIsZboV1ZpaviqyWeDsDSKCjcgt6BCEV+aHOCkg82q6IHl25AmLIR0wtwoNtIoLJaqnJ7NyRQOTRphnRMXGSTODOXsplrBsEFpDh/7oTLL2PiSiBYJQvbz2NcPCJFove4DhFmjMd9yC+I03e1fs97GBGyCkCFCB42OcYTaGDenJwESIAG/I0BBiIKQ3330PDAJkAAJ+AsBmWksLS0Den2gkmFMr9c3OnpLBCHbJBpNoBCEGs9pe9+avzK4cqyw/HFXjmeXNMrW5a6/J+9sgpArNzNP5mivPq0tCFWjCm9p/gyTpko5gt5qxB3Wx9vrOFxHEIgaGYyLnxmFgGAdAowUhPhRkAAJkAAJtC4BCkIUhFr3i+JsJEACJEACXkNgxYpPUFparuxn+PBBmDRpYqO9XZggJMQgrRCF2qEsnjUQVyX3drvSQ+9sQ7oI/tyaxd8FoVe1D6o4KQipKNqtEjxIh/kvTYTOoEFgCOMItRt4LkQCJEACfkKAghAFIT/51HlMEiABEvA/Aq+9tlw9dHx8FyxYcKn6bKv4iiBk2297//qCIGQWbmcmk0nEJtJjYnk0EjbUthom6TK2RbtKsRKabb4RQ0WMIZb2I2AThDQiMLohknGE2o88VyIBEiAB/yDgl4KQKfcDWGvylBtmDCH/+NB5ShIgARLwRwLr1q1HZuZp5eiTJo3D8OFDG2GgINQIiUND/x6RuHx8Ej7ckq5kKnN46SUP9lnGkitikbilfVyLdlvrUtUPESKRAY6xpLwEjc9vwyYIyYMYo4Qg1D5X6/PceAASIAESIAHPCPilIFSd9ZJKh4KQioIVEiABEiCBTkhAxhEKDQ1FWFio09NREHKKxWcapXVQUVGhst+QoGCMK4lC35S2tyTZZP0M+3RblHVjLAm4FndRFGqDr8ZeENKH6YSHJhWhNsDMKUmABEjAbwlQEKLLmN9+/Dw4CZAACZAAQEHI97+CooJCkfHMDCkItZeF0L81f0GZpk6IkgSvMd+JHpq+vg/Ty05gLwgFBGkh/7CQAAmQAAmQQGsRoCBEQai1viXOQwIkQAIk4IMEKAj54KU12LJV5LA3VZuglzGESqNaNe18g6XUR0cLoXhhIfQrWgipdFqvYi8I6fQisHQoA0u3Hl3ORAIkQAIkQEGIghD/LiABEiABEvBjAhSEOs/lt3ba+abIZFhTkYcsjNbMoBjUFKwWvrcXhBhYuoUQOYwESIAESMAlAQpCFIRcfhx8QQIkQAIk4NsE8vMLsH//QeUQw4YNQUxMdKMDURBqhMRnG9pbEHIFymY9NMI8FTM0V7vqxnYPCNgLQrK7Mbrt40N5sC12IQESIAES6CQEKAhREOoknzKPQQIkQAIk0JCAfZaxhISumD//koZdGEOoERHfbfAGQUimqV+v+0CFOME8F8maxt+d2oEVtwQaCkIMLO0WF1+SAAmQAAk0k4D/CUKWalTnvK5iYpYxFQUrJEACJEACnYzAihWfoLS0XDmVXh+Im29e3OiEtBBqhMTnGmSmsRpTjYghFIiJ5dFI2FDbYWeQqei36Fap69NKSEXRokpDQSggWIcAIzONtQgmB5EACZAACTQi4HeCkKX6NGry6v9BhYJQo2+CDSRAAiRAAp2EwK5du7Fr1z7lNMOHD8KkSRMbnYyCUCMkPtcgs4xZrBYEG4OQXB6LxK0dJxhUowqr8SaytUcRao3CQuudiEBjV0Wfg9xBG24oCOkMIrB0CANLd9B1cFkSIAES6HQEKAjRZazTfdQ8EAmQAAmQQD2B0tIy5SEsLLS+0a52QYKQ1gBofCemSYBOh9DgQBSVVtkR8I7q5ROTMDwpBk98uKtZG7KYLSgsLFDGyLTz40oi0TclsFlztEXnc9YsxGm6N5paCkayGGBs9I4NjQk0FIQ0ARoYy2QWcQAAMnZJREFUwikINSbFFhIgARIggZYQoCBEQagl3w3HkAAJkAAJdBICFyYIBQlBSOszJJZdNgwzR3THLc+uR5Wp49yqnAG7/fJhmDG8OxY9sdbZa7dt0kLIbDFDCkLJFcJCaEvHWQi526gtvpDeasRUy1UYqpngrjvfCQINBSEJhYGl+WmQAAmQAAm0FgG/F4TkfznNz89XeUZGRiIyMkJ9ZoUESIAESIAEOjMBXxSEFs0cgP0n8pF6rP7/vz25o+lCDJoypBv+9uGPsFqtngxR+7R0TXWCJioXIgjJs5iqTSKGkB4TS6MQv6GmidU65vUrmgdh0tRbZy2xPEx3siauwpkgZIjQQaPzTtGviePwNQmQAAmQgJcR8HtByMvug9shARIgARIggXYl4GuCkFajwVv3zsaraw/i+/3Z7cKqPda8EEHIBsEbsozZ9uLs99+av6BMU6i8klZCt1j/j65jzkDZtTkThGQMIRlLiIUESIAESIAELpQABaELJcjxJEACJEACJOClBEwmE1JSdqC6uhoDBvRDUlJio51eqCAUGxWCwT2jsSU1CzJGz9DeUcrz4VOF2JNxTl0vNEiPYb1j0CsuFAUihs/+EwU4k1+XAU3tJCr6wAAM6hmJgT0ica64Chk5Rcg6V65Y9AQZAjF/YiJunNYfX+06ibSsImXoIbFWbmEFYiOD3O6lX/dIJMSEYPO+LPsllbptbEJMMKprzMg8W4r9xwsQGKB1u6Ztoq7RwRjSKxpdxB6y8yuwW5y9rNJke+3w2ychQpwxCsZAHY7mFCvrLL1kiOLO1hKXMdvk3i4IybhC6zTvo1SIQnQZs92a+9+u46Mw/W+DHToFBGkh/7CQAAmQAAmQwIUSoCB0oQQ5ngRIgARIgAS8lEBKynakph5Wdmcw6LFkyaJGO60XhLQwW0WQ6GYUjVZktRraHb+7ZhRufW4DHrphLHp3C0dJRQ2+3JmJlVuOKrMN7BWF314zGiGGAOQI4SZRiEJmixVvfn0I63aeVFdcOLUvrr+oH2rNVmQXlKO7EG8MQjTZduQsnvr4R/z80qEY1z8OceFBKCirRmV1XRyg5esPY1daLpKHxLvdy9JLhuKSsT1x3WNfqWvKyrzxibh59iAECjeccyWVCDXqESz2eue/NmP+hCS3a8rxF4/thZ/PHYxysZ+yyhpl33J/T3+6G0dO1lnEyH4aYd30szmDcIUIIC37nS2uRPfoEKRlFyri19ShCS2KISTnlsXbBaG6Xbr+62nrUfTQ9HXdwQ/fOBOEGFjaDz8EHpkESIAE2ogABaE2AstpSYAESIAESKCjCaxbtx6ZmafVbSxatBANs43ZBCErtKi9AEHo2NkSZGQX452vD6PSLmBzsLDq+ddd03EitxRPfrwb5VUmxEUGY8mcgUge2BX3vvE9ToqxEaEG/PueWfjqx1N4438HFIsgnVaLxG5hynw5eXXWRP2F5dATN0/CM6v2NnIZswlCrvbiTBAaKqyW/nzTBGw9mINX/3sAFdU1kM44PbqE4ZTYsyzu1pRi1+M/S8bq7Zl455vDIv27Vel/5/zhMOp1+PXLW2CqNSvzTB4aj/uuHoU1O07g7XUHIaMYSauqZZcNweyRPUQ/S4sEodqaWlRVVSHIaBRp52OQsMG7AmYrh3fzF5l57BO8hHxtNsKs0ZhvucVphjI3U3TaV84EIfmBGqN8J7tfp70cHowESIAEOgEBCkKd4BJ5BBIgARIgARJwRiAn5wxWr67LWpWU1ANz585u1K21BKHDp4rw0PKURvNfN62f4uL16Ps7HIJAS7epp26djG/2nMa/1qQiITYUL94xFf/6cj++EaKQq+JOnLEJQq724kwQemzJJHQT7l53vLgJNeeFm4Zru1vz0Z9MwADhirb0uY3CYqk+mPP85N64RVgDPff5PsWdTs751G1TEBliwB0vbBIWUhZ1GaM+AK/fPVOIQ9oWCUIOWcbKRZaxrb4VX8aWfcwGJMk8FFdoltoe/frXqSAkiDDTmF9/Fjw8CZAACbQaAQpCrYaSE5EACZAACZCA9xGQcYRkRs2YmGinm2stQeglIepsFOJOw/LwonHolxCJP763o0FmLw0eX5KMEyJWjxSSpITxmLD86RMfjpXfHcU6IQoVC7erhsWdOGMThFztpaEgJNd8//552HIgGy+vTm24lPrsak3b+IMn87F8/RG1v6wkxIQq7msfi7N8sDENMjD1Bw/MwwYRv+gVwaph+eNPxmNQj+hmC0Iyw1jB+WypMu38uJJI9E0JbDi9Vz9LV7FPdf9U9zjCPBUzNFerz/5ccSUI6cN00Ab6lvDnz/fIs5MACZCAtxKgIOStN8N9kQAJkAAJkEA7EGgtQeiRd7fjYGZBox2/+MtpSBBxclyVMyKm0J3//FZ5Ld3Lbpo1ALOE+5ROq0HK4TP4fNtxHBOuaLbiSpyR722CkKu9NBSEosKNeOPXM/Hhlgx89G26bYlGv67WjAwz4k1h2eOufC1EMikAxUQE4bVfzRBrpYu1MhoN+fWVIzFpcLdmC0JyoqLCIpjNtZCCUHKFsBDa4ntCgbQS2q5di1hLAuZpbmL2sfNfiCtBiJnGGv0txAYSIAESIIEWEKAg1AJoHEICJEACJEACnYVAawlCD76zzSGAso3PM8sugkUEkP7rBzttTQ6/VuE5VVLhaAkkM5LNGNkdC0Tw5RgRW+ilNfuxaW+d9ZErcUZOahOEXO2loSAk11l+32x8lnIc74rA1K6KqzVt478UgbE/2dpY5JHz1dRYlLhEYcF6vH3vbKz8/hje3+BoTST73X3VSCQPapkgJMfLOEIBWh0mlEYhfkO965p858tFZiY7at2PWE0C+mmG+/JRWrR3V4IQM421CCcHkQAJkAAJNCBAQagBED6SAAmQAAmQgD8RaGtB6N6FozG6Tyxufma9Q9wcTxjLFPSP3TxRSc/+q5c3K0NciTPyZXMFITnmP7+7GKmZ+fi7yGLmqrhb86175yAtqxB/+3CXq+Fq+/t/mIsf0nPxj0/3qG22yp9/OhH9RSyizpx23nZWT39lsOm3NH+GSVOlDJlqvgqjNdM8Hd4p+rkShJhprFNcLw9BAiRAAh1OgIJQh18BN0ACJEACJEACbUNAxg/atWs38vMLER/fFWPHjm60UFsLQrbMWm+uO4Qvd2Q2Wr+phptFOvf5Ii384r9/A5OwgpGWNv/+zSzF0kbG5rEvLRGEpKvWRSL7110ixXyucF9zVtytedtlwzBvdA/89s3vkXmmxNlwte13147GmH5dcLsIKm1vFSXdyV6+c7piSUVBSMWFhrGFQq1RuNX6SH0HP6i5FIR0GhgidH5AgEckARIgARJoSwJ+JwiZyw+htmh9WzLl3CRAAiRAAiTgFQTS0tKxadP36l7aMu28Kzctufgji8djpEjvLl2rdmXkKqnZ+8VHor/INLb10BklfXxSt3BcNamPEjcop6BcybjVT7y/Zc5gHDxZgL+8/4N6jj8JaxqZGeyNtYdw6lypEIrMKCipapGFUGxkEJ5fNhUVplqsEHGETueVoXtMiNhbJFalHFNFIldrSrex50V2NH2AFh8Jt7EMEe9Itsmz9U8IxytfHsRZcR5ZenUNx1NLJyMrvwzvCrexc8VVIvh0CG6aMUCcV4OoUCMthNRbBurS0b8o0tHnKK3+GGzalSAkgTDTmN3HwioJkAAJkECLCPidIFRbsh3m0vp/qGwRNQ4iARIgARIgAR8gkJp6ACkp9bF7FiyYJyyFujnsvK0thORiATodrrmoDy4bl4iwoPoMWJm5pXh97UEcPlGAuMhg/PaaUSIjWYS6P7OIPbT1QA7e+voQSitMavvgxGhcd1FfjEiKgUZk73rtq4NYu/NEiwQhOWk3IcrccelQDOkVrQSzrjFblOxnT326G3lFlcq6rtaUL8NFnKOlwpJpfP8uMATWWW1YRPYv6Yr2vEg7b58tTbqf/WrBCEV0kmMLy014b2NdTKFllwxtkSAk4wdVVVXBaDBgkggqnbChVk7dKYoUhQ6KgNOy+Ju7mDyzO0FIWghphJDIQgIkQAIkQAItJUBBqKXkOI4ESIAESIAEvJyATDe/Zs1XIu18OcLCQrBo0bWNdnyhghA02kZzumuIEOJJkCEAJWUmJdhyw75B+gBFYFHSqZdUo9ZsbthFfZZCTKBOi/ziOtFGfdHCihSuYiKMYr4ql+u6W1OKU3HC4khoQYoIZKp1vfcQox4GvVaxbGrhdtVhRQWFIj6TWckyNqEsGr2/6/yuRFIoWmd9X2QjC8J0kaLeAKPKozNV3AlCTD3fmW6aZyEBEiCBjiFAQahjuHNVEiABEiABEmg3AlIYCgsLdbqeK0GoT0KUEG7qrXkaDpaCzaGTwhVKiCAsrUugq3CHixVxhdyV49klqqCWn5endJVp58eVRKJviut7czenL717D08LV7JsZcsxIlX9TfitL23f4726E4SYacxjjOxIAiRAAiTgggAFIRdg2EwCJEACJEAC/kDAlSD0+K0zRdaraJcIaoVb1eIn17l8zxctJ7B41kBcldzb7QQPvbMN6aeLlD6lJSWQAcSlIJQsXMYSt3R+ke4F7b0OfG63PN4prYTcCUI6gwaBIZ3fGszhovlAAiRAAiTQqgT8XhDKyspGRsYxFWpiYk8kJSWqz6yQAAmQAAmQQGcm4EoQ8uTMGl2IJ93Ypx0ImIV7mk64700ojUL8hpp2WLFjl9hk/Qz7dFuUTQw0j8c8zaKO3VAbre5OEGLq+TaCzmlJgARIwI8IUBCiIORHnzuPSgIkQAIk0JAABaGGRHz3WWPRYHxJhF8IQvKWzlmzkIssDNVM8N1La2LnUSODcfEzo1z2YqYxl2j4ggRIgARIwAMCFIQoCHnwmbALCZAACZCArxJISdmO7OwziI2NwaRJE6DX6x2OQkHIAYdPP/ibIOTssmSw6W+F9VCJpgDJ1kvQQ9PXWTefaQsepMP8lya63K8xKkDE8XL5mi9IgARIgARIwC0BCkIUhNx+IHxJAiRAAiTguwTy8wuwcuVq9QAzZkzGgAH91WdZoSDkgMOnHygIAfauZPIyl1geRgRcx8Ly9gtvShBipjFvv0HujwRIgAS8mwAFIQpC3v2FcnckQAIkQAItJpCTcwarV69Vx0+aNA7Dhw9Vn2WFgpADDp98qK2pRVVVlUhjr0dyeQx6bLL45DlaY9Of4J/I1h5Vp7os5KfoXzEGVrNVbWtOJXZEOEYs64WdTx9DSWZFc4a2St+mBKGAYB0CjDQRahXYnIQESIAE/JAABSEKQn742fPIJEACJOA/BFav/h9ycnJF2vkQzJ9/SaP08xSEfP9bKCoohNliVrKMjSuJEmnnhRuRnxYZV2il9p8waaoQp+2Oj755Fxkr8pH66skWEek5MwYznxmKL5fsQV5qSYvmuJBBTQpCQVrI9PMsJEACJEACJNASAhSEKAi15LvhGBIgARIgAR8iIFOSN4wdZNs+BSEbCd/9zc/LUzYv086PLYpAv+2OcaJcnWzELxJx9odinN1Zl77eVb/WaL+QtUK6GTD610nY+uARj7Yi4whJYaiboScueWEsDr6bheytBR6NbdjJ2wUhnV6kng9l6vmG98ZnEiABEiABzwhQEKIg5NmXwl4kQAIkQAKdkgAFId+/1rLSUlRXVysWQskVsUjc0rQLkUanwXXfJGPbY+k4+U2doNRWJC50rQE3JGCQ+PPFNTsvaIsZ1lTs0WxGX+twjNZM82gubxeEmHreo2tkJxIgARIgARcEKAhREHLxabCZBEiABEjAHwjYBCF51hprULOOrNGFNKs/O7cdAYvZAp1GK9LORzaZdl7GnRm0KAFj7uyNgx9mI29fsbKxc7tLUH6mWt1kSLwRXcaGI7S7ESXHK5GTUghTaa363lbRGbSQsXbiRoShLKca+QfKUHaqAlYRysjTtWxzNfyNGRyGyX8eAGNEIH74R11soNpyC05vzle6JlwUjbKsarG/ckhLou7TY2CICMChd7LE+lb0nB2DgiMVOHXsFJZr/6pOPynwUiRjHrqMi0TM4FBUFdQgd08JSo6Vq31kxZ0gpA8LQNfxkYjsF4zysybk7ipG2elKh/HywR2fRp0bNDTlMiYzjCmZxhqM4yMJkAAJkAAJeEKAghAFIU++E/YhARIgARLopAS8QRD65YLhyC+twoeb0lXKMRFBKCqtFrFx/DdAsgrDw4qnWcbG/b4vek2PRWi8ARXnTDCV14k8PzxzDDnf1blW9bs6Hsn390N1aQ2qS2oRmRSs9N3024MOsXSG3tITo+9IgrnGgpITFYhIClFi2mSuz8Pm3x2EJ2u5Ol5YYjBm/mMIQrsaoQ3UoOS82FKWXYUNd+1Xhi34eCxOCXGo4FAZZjw5ROy1Rmn/aM426EMDcMPGSdj1wnG8+9Z72KJbpS7VL3YwXnz6ZYT3CkJ5ThXCxVo6vRY/vnQcB94+pfZzJQjFDg/HjKcGQx8WiJKTFYjqH6oErt72ZAYyPs1RxzfFR+3ootKkICTGGaP9N2aUC2xsJgESIAES8JAABSEKQh5+KuxGAiRAAiTgiwRSUw9g//5DiImJwqRJE10GlZZn6ygLoZfunIac/Ao89kGdS1BkmBFv3D0TH2/NcBCJfJF/e+7ZU0FI7kla3lz+3mhs+v3BRi5jUuy4bPko7H/nNHa/eFwROmKGCEudPw1AYHAAPr/mB5irLcIyJRDXr5+EQx9lY+ffMxSLIOkeFtkvBDXlZtVaxt1anvCZ9cIwhPYwOnUZk4KQLAFBOmx9+AjO7amzdpJtBmFVZBOEfnw7HZ/gReRr68Sap596GqH7euGgOCNEAjJpxTPlLwORNCcO/7t1rzqPM0EoMESHq9dMQGF6OTbdexA1ZbUI7mrA2Pv6IGlWHL64fheKhaWRp3zkXl0VTwQhQ4QOkjsLCZAACZAACTSXAAUhCkLN/WbYnwRIgARIwEcIyGDSb7+9Qt3t8OGDFFFIbRAVb7AQaigI6QN0ePDGsVjzwwnsPHLWfrusuyHQWoLQnFeGo8vwCHx0cQpqK8zqigMXd8fE3/bFtw8cwom15xDWMwhXfz4eW/+UhmOfn1H7Nay0tSAU1TcEa2/fJwJkOwbHtheEbFY/aUG78LO3LkcsErDmxh8dtiotiq5dm4zsHYXY9JsDyjtngtCwpT0Vd7uvbtsn3MTq14waGIoFK8bgiLAQ2v7XdI/5OGyiwYMngpA+TKdYUDUYykcSIAESIAESaJIABSEKQk1+JOxAAiRAAiTgmwQaCkIDBvTBjBlTHQ7jjYKQwwb50CSB2ppaVFZWwGgwIrk8Bj02Ne1m51KkEYYmi7+7CGeE0LHzH8cd1o5ICsLMp4dgz2snsO+VE5Dxa+b9exRiRQyevW+cRMbKHFQV1rls2Q90uZZ9Jzf1piyEpNXSp5dvbzSDM0HI1iatmn54IkMZIzOSbcNaxFm748GX7lMsnD69rG4+Z4KQ3E/ssDCsFYKQVVgX2Yq00bls+UgUpJVj7dK9HvOxjXf264kgJOM0BRjl6iwkQAIkQAIk0DwCFIQoCDXvi2FvEiABEiABnyKQkrIdqamHhatYiBCDLkJ8fDeH/benIKTVaDC8bwz6dotAlcmMI1mFOJpVjBd/OQ1nCupdxgKFhdDkId1w/GwJTp4tddhv1+gQDE+KRliQHkdzinEspwRllSaHPvKhX/dIDBB/gg0ByMwtxe70c07jEcVFBmNIryh0iQxCpdhTplhz//G6gMX2k8q9J8WHY1hiNGpEAOeM7GJknilFTW29BY3sr9NqMaxPtHJGU60FaVlFSDtVaD9Vq9eLCotgNtcqWcbGlUShb0rTMWVciTTGaD2uF9nH3JUjQvjZLrKTySLdp0be1RsDruoGXYAGx7/OxYHlWSg8UqZO4WottUMTlaYEocoCE765PbXRLDbxR8YQslkI2dp+fDkT+4WIJVPUv6X5M0yaKmX8vPFX4K///D+8O3GL4irnTBC68rNxiBAxh1yVEhFQe9WVde6PnvBxNY9s90gQCtIqcZvczcN3JEACJEACJOCMAAUhCkLOvgu2kQAJkAAJ+AmB9hKEQoWAc9/CkRiRFIvc4kohvtSiuxB3/vvDSUXgKSqrVmMIhQcb8Na9s/DepjR8urUus5QMMv3oTeORIMbkFJZDCjRdhZgjy71vfIcTZ0qUeoBOh6WXDMbc0T1xtqgCUlyKDjUowsyTn+wWgarr/sVfdr5iUm/8bPYgZdzpvDJlPn2AFlsO5OC5z/Yo7fIvI/rG4nfXjIY+UAfZLzrUiPDgQBSXm7DshU2oNdeJQlHhRqVfv4QInM4vQzexP4MYs37vabz63wNOBSl1kQuoFOYXwCJSeoUEBWNsUQT6bdc3OZsrkUa6Td24eTIOrshSBBNnE5lNFiVGkP07Oa73FV0x9Cc9ENLFgC3/dxiZX+YqXVytZT/eXb0pQagi14T1dzZPEEpdfhK7n8/EaetRfKr7p7p8sDEEG77eiPenbFXanAlC8z8Yo4hF688HtlYHn6/I7GrVxY6WUu74NBxv/+yJIKTTaxAYqrMfxjoJkAAJkAAJeETA7wQhS/Vp1OTVZ5koLS1Dfn79fwmMjBTpQyMjPILHTiRAAiRAAiTg6wTaSxC67bJhuHhUD/zj871IEYKLLDJ49APXjYEUUH7MOOdWELrt0qGYNbIH7nltK84W1KUGjxBCT1LXMOw9mqdew8KpfbF4+gBI8WfH4TOKxc64gV1wz5UjsTM9F8+s3K327dElFIldwpGamY8SIUgFGQJx2yVDMH14Ah5YniIse+riwzz/i6lC9LHigX+nwHTeIqhbTIiwUgpE+un6GDJ//Ml49IwLxx/f3Y6sc2XCOikQl09MxI3T+uO1tQexVsREaotSXlaBqqoKRRBKrohF4pam3YfciTQyUPTZfSX49nwcnebsWQZnvuStUdAZtWoQaHdreTJ3WwhCx9flYsv9h5Xl11pX4IjuB6V+x013YeGV12H1tbuUZ2eC0NQnBqH7pGh8OCtFEYY8OYOtjzM+tnfOfj0RhDTCMssQTkHIGT+2kQAJkAAJuCfg94KQezx8SwIkQAIkQAKdm0B7CELS4uf1e2ZimxBo/vFpveWNJDtQuGs9/rPkJgWhe64ehUE9I3HnS5tdWtoE6QPwushOJl3EHl6+zeHiHrhhLMb174JlL25CvrBQclWG9o7Bn2+agJe/3I/1P9alH3/zN7MV0cjeaqjh+MHCleyvP52IjxpkRpMuZG/fNxulwq3tly9923BYqz1bhBubTqPF+JJIxG9wtE5xtog+XKRkF8LP3jdP1sUDsus0XqSbH3RtAlaLoMtFGfWuX3Zd3FbH/KYPht7UQ7GykdnI3K3ldqLzL8fc2weDr0/AhzNEkOsqRxc9mWWsJRZCtZUWfDJvG0wiQ5gsGdZUdBF3f9enNyL1bWE99EKm0u5MEOo1JxYz/j4E20QMojQRi6i5pSEfd+M9EYRkLCdjVNNugu7W4TsSIAESIAH/JEBByD/vnacmARIgARIgAYVAewhCg4RY8pgQS577fB+2pGY5kJe2LB8+eAn2HstzayE0un8cHrx+rBK7Z8XmdKQeyxcBfe0i+op5+veIxBM3T8LH3x3F9wfrrJBsi00b1h1XCxexR9/foYy1tdt+pWgVHhqIyBAD/iQEobfXH8bqlLqgyotnDcTCyX3wbWo2Vm071iiukZzjSvH+Z6LfEx//qLiq2eaVv7dePFiJPbToya8bxRyy73ehdY1wVfJUEJJrzXl1OMJ7BmP7E+koPlqhpJKvzDNBHxaAK1eOU1Kx73n1BPIPlEEvUpvHiEDKccPCsU1k0CrPrhLBl0Mx9ObuOPFNHkpOVEG6LsUMDcMEkYns7O4i4ca1Xz2Sq7XUDm4qcaMicOm/Ryrp7Q+vyIYuUKsKVS0VhCpyRfSgohrs/mcmSk9VIWpACCb+oR+0wtrmsyt/QLV4J4NN7+uyESPnDULS7mSUHagTj+RWZ/9zGBImRuPg+6eRtbUQFmFBFjssFLHDw5H5VS5OCibN4ePq+F3HR2H63wa7eq22G6MpCKkwWCEBEiABEvCYAAUhj1GxIwmQAAmQAAn4HoG0tHTs2iUyHokyadJ4JCUlOhyiPQShqcO7C5etEXhEuFIdzCxwWF8+vCasek6I4NGPfVAXiNdZDCHZb1S/OBHzZyAS48IU0eXLnSewbucp1Y1ryrAE3HvVSNnVZbEXpYYJi5ArJiaJGEaxkLGDqmvMQrCxIFS4gtkLQlK0ujy5N66Z1AcRIXocFq5kX+w4ju2H6lOt3375MCVukcuFxYvbXtiIgpL6GEbu+rbknUboY+OLPbMQkvPHjYzAiGW9hLARBWFchBQRKDpdBIyWxRAZiPG/74Ne0+PUgMVWIXpk7yjC1ocPo1pkEwvuasA0YSnTZXiYMkb+RfbJ+N9Z7Hr6GEwl9QKKu7XUwS4qGp0Go3/VG30u7YLgOL2Syeyj2SlK75YKQtv+lqHE3Rm2pKdwtwqAjPtzbn+JONsRlJ2ubBRsOil4IK4ou13doRSOht7aE4Nv7A6jYGUrBSKYtpw7T7jcNYePbXzDX08FIYMQ7CQnFhIgARIgARJoDgEKQs2hxb4kQAIkQAIk4GMEVqz4BKWldTF3YmIisXDhlQ4naA9BaOLgbvj9wtH484ofHOL92Dby+j2zRMaukiYFIVt/aXF0+bhETBLzyiDPv3/je0UUmjCoG/5w7WglTlGqk0xhcnxlVa3Sd8yALkr8ol0idtGn3x/FqdxyVFbXQAavfu1XMxwEIdu6MmD1hMFdceWEJCXukQwW/fLqumDGt84bgsvHJ+IX//xWEZZsY+x/S0QQ6oZWTfbvL7TeXEHItp4Uf7SBGlSea5ytTQpFwSJItDTGklYz0gWsYQkI0sEQFaiIQVX5JlhqRWcXxd1aLoaozXIvIQkiG9y5aqf7UDu6qdiyjNlnHpPCjam41sEdTVoHrdA94zDTry3POjzbHozi7AEhAUIkMzUKti37NIePbU7br6eCkD5Mp9yhbRx/SYAESIAESMATAhSEPKHEPiRAAiRAAiTgowS8QRDqI4JGP3XrZLzyvwP4etdJB5Iyxs4HD8zFHhEYuikLIYeB4sFmEfTsqr34bn82ZJDo55dNxVvfHMaabccbdnd4fmjROPRPiMTSf2xwiElkczuztxByGCgepB2GDJI9d3QP3C7iAsmYRPOEQLVMBKT+3b+/xzGRkr49S21NLSorK0QWND0mlcei52bXgkx77svdWtItLbJ/iLsuKMuqQsXZard9mvvSmSDkag77YNMTzHORrLnEVdc2a/dUEAoI1iHASAuhNrsITkwCJEACnZQABaFOerE8FgmQAAmQAAlIAs1xGau1CksQCDMMD4tG5/5f6G3TyNTvL981XXGXul8IJvZyxeSh8bhPBIxuKsuYbS7737BgPd4U1kWrhPjz/oYjSir6Z5ZdhGBjAO7+1xZUidT2rsqTQqCKE9ZAtz2/0UEQsln6uBOE5JzjB3bF/SJD2p+E1dM+IWZ1iQrG87dPFefIxVMiw1l7lqLCIpjNtTDqjZhYHo2+KfUuTO25j+as1W1CFC4WcXjclR+eP47D755216XZ75ojCMnJZbBpWfpphiu/7f0XjwWhIK3q2tfee+R6JEACJEACvkuAgpDv3h13TgIkQAIkQAIXTMDeZaytBCG5ybnjeuH2S4biexF3578i9k9VdS0G9ozCtVP6KkLOsZxitxZCN88djEKRGv5IVhGKxG93kfZdprGXmcMe+s92HDlZqLAYkhSNRxdPUGIMrfzuGLILyhAfFSJcvERsnagg/HVFXZyin84ZhKtEXKD/ilTwG/adRqBOi2kiBtFgkfWsV2wY/rPxiBpUWloTpRw+ixO5JUJkMqN3t3Bl3+FCkPrVy5tRXlWX1euai/riphkD8OPRc/hmz2kUlVcjqWs4BggLqcIyE94VgarbohQVFApRy6wIQuNLo9B/u74tlukUczZXEHJ2aBGOGt9aP0O4NRqjtdNhgNFZt1Zp81gQEtZB0kqIhQRIgARIgASaQ4CCUHNosS8JkAAJkAAJdDIC7SUISWyzRvfET2cORHiwiDcjnmX8nxe+2KfE3gkP0rsVhK6a0kdk+uqLYEN9NqUzhRV4b1Mavj/gmFEsKT4cy+YNVeL86LR1bjSVQsjZKjKPvbKmzuLDKFLUXz+tPyYP6Yq48CDUirTtO9Nz8dIXqfjzkonYLFzQbFnGficsgaTwFHB+LnmWAycKFNe040LIsi/S4uknMwega2Sw2pxfWgUpTq0VQlhblKrKKpSXlyHIaMTkyi5I3ELXIVecpWiS/FA/HF97DlmbGwc4dzXOvv09PI18bV26+d7mYVigudX+davWPRWENCLItSGcglCrwudkJEACJOAHBCgI+cEl84gkQAIkQAIk4IpAewpCtj1EhxtRLQQam2WNrb2pX61GI1LDGxAiXMKKhcVNWWXjIMj2c8gg0HFRRsWqp0T0N1saB0SW/aW7V35xlcv3so90e4sI1YtfLQpLhI2IG3c02T/IEIioMAPKKmpQWlHt4CYn37d2kcGqtSK6UXOyjLX2HvxhPmkd9Kr2QYejugo27dCphQ8UhFoIjsNIgARIgAQ8IkBByCNM7EQCJEACJEACnZNARwhCnZNkx5+qpVnGOn7nvrUD+2DTA83jMU+zqM0O4LEgJEJ/GSLrrefabEOcmARIgARIoFMRoCDUqa6ThyEBEiABEiABRwKZmSeQkvIDTKYaDBs2CGPHjnboQEHIAYdPP1AQar/rO2DdAZOwFhqtmdami3oqCMlNGKMpCLXpZXByEiABEuiEBCgIdcJL5ZFIgARIgARIwEZg3br1yMysy9RkMOixZImjNQMFIRsp3/+lINTxd3hQCEWyDNFMaJXNUBBqFYychARIgARIwAUBCkIuwLCZBEiABEiABDoDgU2btojU88eUo+j1gbj55sUOx6Ig5IDDJx9qa2pRVlYGg16PKSKodM/NMmQ3S3sT2CQyj+3TbVGWHSRcyea2gitZcwQhfZgO2kAGFG/ve+d6JEACJODLBCgI+fLtce8kQAIkQAIk0ASB/PwCSFGozmVsMIYPH+owgoKQAw6ffCgqLILZXMu08x18ey9o73XYwRLLw4hAtENbcx8oCDWXGPuTAAmQAAk0hwAFoebQYl8SIAESIAES6GQEKAj5/oUWFRSKDGlmCkIdfJVfWN9Epu6AsotQaxRutT5ywTtqjiAUGKqDTk8LoQuGzglIgARIwI8I+L0glJWVjYyMOlN6ee+JiT2RlJToR58Aj0oCJEACJODPBCgI+f7tV1VWobKiAjJG1GThMpa4xX9EgeCuBlScrfaKS5Qp6XdbN6EYhZg//DpMvWMUdjxxFGWnK1u8v+YIQgFBWsg/LCRAAiRAAiTgKQEKQhSEPP1W2I8ESIAESKATErAXhMwIhMXqeaYijS6kExLx3SP5W1DpXnNiMePvQ/DVbXuRu6vYqy4u8eI4TH9yMNYs3o2Cw6WQYlEVKprtQhY7Jgyz/j7co7NREPIIEzuRAAmQAAnYEaAgREHI7nNglQRIgARIoLMSMJlM0Iugww2LvSBkQQDM1sCGXVw+UxByiaZDXviqINRjRgxCewTh8Lt12fA8hRfRNwQTH+iL7x4+gvIzzbMSaumanu7NXhDad2gP1mjfhElThdnmGzG0GRnIggfpMP+liR4tqzNoEBii86gvO5EACZAACZCAJEBBiIIQ/04gARIgARLoxARkUOl16zagtLRcuET3wNy5sx1OS0HIAYdPP/iqIDTt6SGozDPhhycy2o1/W69pLwg9c+QPKNUUqGdbZL4PcZru6rO7SnMEIU2ABoZwCkLuePIdCZAACZCAIwH/E4RqzqEm90OVAmMIqShYIQESIAES6IQEdu3ajV279qknW7hwAWJi6jMfURBS0fh8pTUEIZ1ei56zY5CTUoTq4hpEDwxFwuQoUa9F+soclZFWiA9dxkYiZnAoaqstyE8tRd7+EvW9raLRaRDVP0T0jYDFZEX+gVIUZZTDbLJAvus+NRrTHhuM3NRiZHx+RhlWerJa9CsRAZLd70XGD+oyJrxur0U1tiWVX2kpI9eMFFZEcp3SE5XITilEbaXZ7Zq2SfRhAeg6PhKR/YJRftakuKS5igUk99F1fARCE4woSi/H2R+K0S05UnFnky5jrx1+Atnao7apQUFIRcEKCZAACZBABxPwO0FI8q7OeknFTkFIRcEKCZAACZBAJySQmnoAKSk71ZMtWrQQYWGh6jMFIRWFz1Zqa2pRVlaGAJ0OU03x6LXZ2uKzGCICccPGSfj6l6mQblWDr09AZb4J+YfLsOFX+5V5jTF6TH9qCLoMD0PhsQqEC3cvGb8mbVUOtj+WAau5bn0pqMwU1j8BQToUHS1HcBcDjFGBynwrL92OXiLOzojbeiEyMRimslpUiHVkOb42F6mvnkRTe+k5MwYznxmKL5fsQV5qvRgVNyoCUx8fhNBuIuD0ORM0IsZ2UKweWx9Ng6XG4nZNuX7s8HDMeGow9GGBKDlZIQStUOVM257MQMan9aKY7CvjGF30p0GAiOVcKM4YKsQhsxC+Dn+UhXF391FiCOUcPodP8CLytTlt6jIGcU5jlOcxwOT+WUiABEiABPybAAUhuoz5998BPD0JkAAJdHICpaVlwkJoN3JyzmLAgL4YO3a0w4kpCDng8MmHosIimM210AcEYmJ5LPpvbxwrytOD2UQYKQBJy58t9x9qlMVr9svDESUsb9Yu2ycsbyqUuDUDb0zAmDt7I+XxdKR/UieaLFg5FlYhjvzv5j0wi7lkkbGCDOEByD9Yqm7ppm0XCTHpTCOXsab24kwQ0ocG4Oo1E1CeU4VNvzukZviSVjwmYeVUW2VW1nW1prQskuMLhaXPpnsPokYIVXLs2Pv6IGlWHL64fheKj5UrcwR10WPhmonI3VuMjfccQE153dx9ruiGix4doPSxBZVWD9vMSnNcxuTUxmgKQs1EzO4kQAIk4NcEKAhREPLrvwF4eBIgARLwdwIUhHz/C7AJQjqtDpMqYjFgh7HFh7KJMKbSWnx2xQ+K25j9ZHEjI3DpWyOx+9VMxYrH9k66Zd2wYRKqhJvZKjFOluvWJSN7R6ES9NnWz9mvK3Gmqb04E4RG3JGIUcsSsfqGH4WoU+ZsOaXN1ZrDlvZUhK2vbtsn3MSK1PFRwnVuwYoxOCIshLb/NV1pH3NPHwz7WQ98dvVORRhTO4uKFM26J0epWcbs39nq56xZItj0W8rjfMstTuMK2QSh9KNp6N+3TmSyjXf2S0HIGRW2kQAJkAAJuCJAQYiCkKtvg+0kQAIkQAJ+QICCkO9fsqnahIrycmi1WkyriUfiFuE71MJiE2HSvziDFOFi1bAM/mkPjP9NH6y/ez9Ksxwze034fR/Ej4vC+5O3KjGCRt6ZiJFLE5G+5gwOvJWFkuN1ljUN53QlzjS1F2eC0KwXhyEiKRifLdjRcBmHZ1drznphGGKHhWGtEISsdp53kuhly0eiIK0ca5fuVeaa86/hIm6QAauurHfJtC0y9JaeGPur3m4Fobc0f1WDTeutRtxi/T8IpzrbFMpvXq9j+KJouXAJLEV813h8/J/PHN5LoejBR/+AnLM5GD1yDF57/TVohPuarZSWlmLNmjXCSnAXZsyYgfnz59te8ZcESIAESIAE/C/LmLxzxhDil08CJEACJEACdQQoCHWiL0EIGBOKIxG/wTHAcnNOaBNhfnw5E/vfONlo6IQH+mHQdQmN2u0bPp67TckaJmPaDLyxO0bc2hNBIu7Q2d3FOPCf0zi9Kd++O1yJM03txZkgdNWqcUrcoHVC0HFXXK155WfjECFiGrkqJacqVAHoqi/GK+nuvxaucw1L7wVdMfVPA90KQq9oHlRS0dvGLrE8jAhE2x6V342RK5BaUmdxJRteeOpljBHCj608/69n8fFnH9ke8dSTT2Hm7Jnq8/vvv49nn31Wff7iiy+QkFB/f5s2bcKf/vQnkYWwFIsXL8a9996r9rVV5Dv5x36c7R1/SYAESIAEfJsALYRoIeTbXzB3TwIkQAIk4BEBGUvIPpi0bRAFIRuJTvDbioLQrheO48DbpxpBGXtvHwz9SQ+svGy7GheoYSeZncxaFzJIeSUzkskA1UN+2lMJRJ32WQ62/aXO7Up2cCXO2AQhV3txJgjN/3CsiBNkwVdLdjfclsOzqzXnfzBGCSC9/q66ANoOg8SDPJc8nywLPhqLmgozvhIxkhoWWxwhdzGEMqyp+Ea7QhGFRpinYobm6obT4EDXLVh/rt4qSFoISUshW/no0w/wwivP2R7x7jvvYdCQgerzo48+qlgI2RpeffVVEUdsrO0R9913H7799lv1ueH71atXK4KR7LBgwQL88Y9/VPuyQgIkQAIk4PsEKAhREPL9r5gnIAESIAEScEnAZDJh5covxH/hLxeCUAgWLrwCen190GF7QcgqUiXVWg0u52r4QqMLadjE5w4mMKGodSyEXIkw/RfGY9JD/bF6kYjRc8R1jB6nGITF0Pg/CAujaxPwyaXCikhkAJPFlTjTEkFomshq1m1MBD6+eJua7czZXlytOfWJQeg+KRofzkpxO17OOf0fQ9FlaBg+nrdNKEWOqwwT2dPG/CLJrYWQHFGMApislU7jB8n3uv4mBF1dBukaNmbkWEydPF02q0W6kr35n9fF+wxMmzwNP1lyE7SBAvT5Il3FpOgjs9DFx8dDCjz2paEg1NCC6IorrkB2drY6pOF7aYH0+uuvi/9tCcONN96oWBmpnVkhARIgARLwegIUhCgIef1Hyg2SAAmQAAm0nEBaWjo2bfpenWDGjMki21h/9ZmCkIqiU1TaWhCSGbeuWjUep7fkY/PvDzWbWfep0Zj9/DCsvX0fzv5QF7R5vgjWLC1tbLF5bJO2RBCyuWp9++AhnPjqnG2qRr+u1pRp5Gf8fQi2PZGBtI/qhZBGE4iGAcJ1Llm40H39y1TkbCus7yL0mAUfj0VUn5AmBaH6QfW1alThW+tnCLdGY9aQyzD/pYn1L5uoBYbqoNPXC0K27mlpaeLv+wG2R/VXij2vvfaaIvpICyD5x77YC0ahoaHif0s22b/GzJkzFXcy2ShFoY0bNzq8l4KUtECSazN+kQMaPpAACZCAVxD4fwAAAP//y5Eo4QAAQABJREFU7J0JXJTV+sd/wDCsgwi4gAukiblgiZrZJrbYBtbNNqzutW5pt/5ZV2293ave9lJbvVe9WbYobZYppVEWtmiaUKZW4hKaghuogMrO/31enLdhGWYGZoZ3Zn7n8xnnvO973nOe8z1Hix/PeR6/OqXAx0rF3pe1Ge/dW4Dt23dq1/HxPZCQEK9ds0ICJEACJEACnkygqKgYS5Ys16YwenRKg//O3f9BGPYdNqjP6+CP6rogra2til9AmK0mfO4GApUVlTh+7Jg6UkpNN8R/7dfqUYM6BOL6L0cg58XfsGXh7832M2B8DwyZdAp+/7oI2z7Yh/LiKnTsG4aYgSacKKrEjy/lq++NemEA8j8/hKPbjqPqRA2iEsMwaGJPBEcGYulV36OqrEZtN/C2nhh8RwK+e2obCtYchp+/H8r2nIAtW3qMisaoWQPwyV9+xKFNJWpffgF+uPytwejYKww/zM3H/pyjCIkORLRi2/6cEhSuKW5xTHl44ZyBiBsehZ8X78Hebw6jtqZOmVs4YpIikL/yAHYrc5ISYPTHlR8OQ2BYANY/ux1FW8oQEmNEvxu7oeOpYTB1C0bmuB9Q/Gup2t7ePxZhJor8C9TmfcKS8NqH/7P3VRhC/NWP3S/YaFhQUICMjAzId1paGlJSUhq8IfcKCwvVe7GxsVi+/I9/a0pLSzFmzBjIt5TU1FRMnz5drfMPEiABEiABfRDwoyBEQUgfW5FWkAAJkAAJuIrA2rXrcOhQMWJiojBixPAGw1AQaoDDIy9KS0pQWVmp2n5ueRckrg9u9TxsiTDmjnteFIMh9/RSRQ/zvWP7K/DTK7uxbUm9QHD+s/3Rc2Q0/A1/CFSFG45gw8ydOJxXZn4NIZ2NGHz3KUi4oJMqZvyWdQBfP/hrqwQh6dQQEoAhU3qh92Vd6sUR5Vefh/OPYcOs3zRByNqY8r7YO+DWHuh3QzdVvJJ7Uoq3luG7J7fj0E/14pPcC44y4pxHExF3ZkeIGFV1rBp5H+3H1rcLcPWyYQ4LQhUoxzz/h6VrrXyT9Z1Wt1VxtiBka7zs7GwsXrxYFYWmTJnSQDDKycnBxIkTtS6Sk5Mxf/587VoqU6dOhfQhwtLkyZNhMpkaPOcFCZAACZCAawn4vCBUWlqGoqIijXJkZCQiIzto16yQAAmQAAmQgDcToCDk+avrTEHIURqG0ADFA8eIypJqVJRUAY38zsWLJqhjIPwD/VF+qBLV5fVeQc2NExDkr3rYHNtXgTrFK6fNRdGhQjsHobK0GtXHmx/X1pjBiu2GMAMqDlcqYk/zfYidMs/gqEAcP6DYXts2yz+ty8DWgO/VTk5VPIQWtqOHUNtmAlXoMXsQTZs2Tb029yneRDNmzDBfIj09HSIqsZAACZAACbiPgM8LQu5DzZFIgARIgARIQH8EKAjpb00ctcjyyNj51XE45Rv/Jl2ExQYjLLbl44CHFQ+YlkSPJp3yhl0EjCYDIvu0fLyybG85jiseVubyQ91XavWcfqOQ+nJDrz5zm+a+DcF+EJFOT0U8hcTzJzExsYFZjQUh8RAaN26c1kaOqd1xxx3qkTMRiyZMmKA9Y4UESIAESMA5BCgIOYcjeyEBEiABEiABjyRAQcgjl82q0cOORiJuleKp06gMujMep9/Ss9HdhpcSi6foZ8fi3TTsgVfNEeiqHCe7WIlL1FL5/oXf8Otbe5o0iUk24YJnkrT7P/yUi65dYhGrfJorfspxt6AIfQlCzdkp9yS20KxZs5CZmamKRfPmzWtwZEziDckzc5HnQ4YMMV/ymwRIgARIwAkEfFIQqjr0AWorCpyAj12QAAmQAAmQgGcQkODS0dFRTYylINQEiUffsCYIefSkfNj4LsM6YuST/VQCT8x8DJ9kZSI83ISXnp2DPr0betxII08ShGwtqxwfW716tdZMYhVZehmJ55HEJIqLi8Ptt9+ufmuNWSEBEiABErCLAAUhuzCxEQmQAAmQAAl4LoElSz5S4uUdQVCQUcn0c0kDYchSEJIZVtWF2D1RZhmzG5XbGlIQchtqtwxkFoRyN+Zi0n13amOKh9B7b36oXZsr3iQI5eXlYebMmcjNzW02Q9moUaO0DGYiFIlgxEICJEACJOAYAQpCjvFiaxIgARIgARLwKAKN084nJZ3WINMYBSGPWk6bxg5Vjox1a+bImM0X2UCXBMyCUOH+Qtxyx80oO1afne28s8/Hk9OfaWKzNwlCTSZncUPiC0lKe3MJDw9Xs5WZr+Vb2uzbtw99+vRpcBTNsg3rJEACJODrBCgI+foO4PxJgARIgAS8moCkI1+4MEOb44gRQ5GUNEC7piCkofDYijmodF1dHc6uVNLOrzV67FxoeEMCZkFI7m7bkYfHn30UsV1j8Y+p/1SPjjVsXX8VHGVo7rbX3ZP4QxkZ9f+2NReQ2iwYyZGyuXPn8kiZ1+0ATogESMAZBCgIOYMi+yABEiABEiABHRPIy9uGrVu3IyYmSgnKOhhG4x+CAQUhHS+cnaZZpp0fcrQjTt8YYeebbKZ3ApaCkL22+oogJDzEC0iKiD6WxVIskvuSoYxZyiwJsU4CJEAC9QQoCHEnkAAJkAAJkIAPE6Ag5PmLbykIDS2NwqAfTJ4/Kc5AJWCPICSBpld89gkGD0rGrTffBl8ShKxtk8Yp7RtnKBMhSTKYiZCUmppqrRveJwESIAGvJ0BByOuXmBMkARIgARIgAesE2iQI+YcpaY2s980n7iFQXVWNsjIltoxyZOzcqlj0/tYz0o67h45nj2JLEGocbFoEoTvvucOzJ+0k67OzsyHCkKSqHzduXINe5VqCVkuR5yIYsZAACZCALxKgIOSLq845kwAJkAAJkMBJAm0ThJSMZH7+ZKkjAkNLlKDSn1fpyCKa0hYCtgQh8Q6SdPTmcobiJfTKgvkUas1AmvluHJBammzYsKGZlrxFAiRAAt5PgIKQ968xZ0gCJEACJEACStr5YjV2kMkU3oAGBaEGODz+goKQxy9hgwnYEoTKykrxf1PvxPad2xAeFo4nlMxjZ507DP6BdN1rALLRhcQTknT2UtLT0zFlypQGLSRYdWlpqXqcrHF8ogYNeUECJEACHk6AgpCHLyDNJwESIAESIAFbBLKyViE/f4/azFaWseq6INTBPq8fP396CNli7+7nehCEEq+PQ+zwjlg9eYs2faPJgNqaOlQfr9HusWKbgC1ByNyDHB2T7GOxXWJhNAVQEDKDaeFbjpNJSUlJaZCWfv78+ZCPFJPJhEWLFjUJWq0+5B8kQAIk4AUEfFIQqi5Zh5rS771g+TgFEiABEiABErBNYP7817VGsbGdkZZ2mXbd2EOIgpCGxuMqknZ+WGnHdj8yNvzhU9E7tSsWn/2NxnDMB0NRXlSJrNt/0u6xYpuAvYKQZU9mQUg8XLZt24bk5GTLx6zbIGDpPSRNGwektvE6H5MACZCARxGgIORRy0VjSYAESIAESMBxAhkZ7yvHH46pLyYm9lJ+I36e1gkFIQ2Fx1YqKypxTAkqXVtXi7MruuC0dcHtOpfmBKEhU3ujsqQKm+bvblfbPG3w1gpC+w4W4sYbb1SPPSUmJqqihni7sNgmYJmhLDY2FosXL27gQSQxiPbt24c+ffo0uG+7Z7YgARIgAf0RoCCkvzWhRSRAAiRAAiTgVAISP2jTpi0ICjJi4MAByg8xf8QRoiDkVNTt0pll2vkBB0Mx/JdO7WKHedDmBCHzM347RqC1gtC/H5+hplU3jzZ58uQmmbbMz/jdlIBkIJMsZZKS3jKGkIhBZqFNBDbxHhLBjYUESIAEPJWAzwtCe/cWYPv2ndr6xcf3QEJCvHbNCgmQAAmQAAl4MwEKQp6/umXK0aCKigp1IklF4Ri2Jdptk4o6LRwxp0cgMCQART+XYX/OEQy9rzf6jGl4ZCzu3CjUVNRi//dHGtgW1CEQnYd0QIdeoTiy7RiKfinFiQOVDdrIRVhssNIuAuHdglHy2wkUrj2MytLqJu0CwwLQ9cxIhHcPgb/BDyW7T2Dv6iLUVtc1aRsWF4wuwyIRHGlQbT/8Sxkqy5r2GdXPhJgkE4zhASjOO6aOXafEQ3JHaa0g9PZ7GZg9e7ZmIgUhDUWbKpbxhaQjOV4mHxYSIAES8FQCFIQoCHnq3qXdJEACJEACTiBAQcgJENu5i5rqGhw/fgw1NcqRscrO6PNtoMst8lPijg+edAoG/rkHyo9WoXRvOSITQnHgpxIcKyxHr8u6NIghlPbeEBxXhJ5Vd21SbROx5rxn+iF+ZAxOKLGFThRXomPvMPgF+OG7p7Yj790CbQ6n/ikWZz14KipKq1BRUq2Oc/xgJbKn/oxDm0q0djGDIjB67iAYgv1RVlihfgd3DMSR/OP45KYftIDWIZ2MuHjeILWfkt3HAX8/RCgCkpSPrs3B0R31xyv9A/0xdGovnHZtHEr2nIDB6I/QzkHqHLMn/4xyxWZXl5hkEy54JsmhYcwxhES8kONPEjS5cRYthzpkY42AeA1NnTpVu542bZoSky1Nu2aFBEiABDyNAAUhCkKetmdpLwmQAAmQgBMJPJNV/4Owucvy2g6orrNPUPA3RMHP32h+ld86IBC+uRbdP69yuSU9L4pByjP9sfmtPch9TvG0VhxmREA588HeSFQEnOry2hYFoR4XxmDUs/2Rff/P2P35IdVeQ3AAogaE4/DWMlSV1Wcji0mKwOWvn4HNb+zBDy/9BvHMie5vwtkzEhEYasBHV3+veh5JBwFB/uiV2gWF646gTBFwRFw69epYjHjoVGx4YSd+fr0+097QB05F4pVd8dE1G3CsoFwdW4SjyD7h2Lf+sHotfwy4pQeG3H0Kvrh3C/Z8VaT2103xdDr/yX74/etD+PqBX7W2rqqEnhaA1JeHO9S9WRBy6CU2tpuAiEIitPXt27eJd5Dcz8zMxJAhQ5o8s3sANiQBEiABNxLwSUGopkz5LdHRb1XMPDLmxt3GoUiABEiABNqNgMQRkhIdHdWiDUerO0E+9pSAsP6KIBRhT1O2cROBvJd2Yf/HB10+2hWLkxESFYglV6xXRRrzgCLqXPPpcFUcsswy1thD6NSruuLsfyXigzHfq+KN+f3G3xfNTULnpA549+K1moePtOk7rhuGK4GqVz/0C3Z9an2+IhJdn302dq06iG8f2ap2f+7jfdH5jEgsvXJ9s0fJpJFBOQJ3rTKPorwyZN3WMDPayOcGKJ5N0Xjvku9wQvFUcmVxtiAkmcfkKJl8yzEyy/g4rpyHL/Sdk5ODiRMnalOV+EPTp0/XrlkhARIgAT0S8ElBqLZiD6oOLVXXg4KQHrclbSIBEiABEnAmgZycH5CTU/9DbeMsY43HoSDUmIhnXbtDEBLPm5u+Oxd5S/dh3ePbmgC68D9J6HJGhxY9hOTYVmpGMmqr6pA75zfs/uyQ5umjdegHjPv2XOxT4hJteO437bZUOiSEYNTM/vhx/i78NHdXg2dyIYJOSIxROTYWgJGz+uHIjuPI/vsWtV3sWR1x0UsDcXBLKX6Yk48DSv9KgrYGJVqJG3TFosFq//lZ9R5M5ga9ruiEQbf0xKcTfsL+DQ1jIpnbOOu7NYKQIcRfmb9ypq+ZIoKFCBdSRAxatmxZM614qzUELLOTyfsjR47ErFmzWtMV3yEBEiABtxGgIMQjY27bbByIBEiABEigfQgsX74ChYUH1MEl09hf/pJu1RAKQlbR6P5BaVkpCl8rdrmHkIg51356FnL/m4/N/2uaRn7EvxNxykWdWxSEBKapRwiGTOmFnudFq8Gct35QgF/eKkC5ElNISnCUEdd9fpZat/bH1iWFmiglgaQH/Lkb4i/qpASKDlTFpspj1QgyGfD7N8WaICR9dVVEoaF/74WoPmFq/KOfF+3F9g8LNVHKfCTO2rhyf/WDindSlnXvpJbetfeZswUhiSdUVlamDS9ZsuR4E0vbCYjXlcRqys3NVTuTdPXMQNZ2ruyBBEjAtQQoCFEQcu0OY+8kQAIkQALtTiA7+2vk5dVn1IyOjsTYsVdatckhQSg4AX6BXa32xQfuIZCfn4/Vq1ermcZO3TkQgT+6Nq6TMcKAG5RjWBsX7MLGOU29c85+tC8SLuxkUxAy05FsX32vj8Np18ShpqoWK2/diKM7jylZvZRxvjobP2fsxeZXmgpP8n5NZS2qjtUgtEsQrnhrsBrgOuf531C0Scm8pgS7lnLVsmENPITUmyf/kEDU/W6MUwWsw8qYEnxasqF1Pz8aFzw/AKsf+MWqF1DV8RpNQLLs05l1ZwtCll4sIlaIaMHiXAKSsj48PLzJcbwZM2aosYdEgJs5cyYkbT0LCZAACbQ3AQpCFITaew9yfBIgARIgARcTKC0tw+bNWxTBoFLxBhis/CASbnVERwQh/6Du8Dd2t9oXH7iHQFZWFkQUkhKT2x2d8jurdVf+IUe5dq8+iG8ero/LYznWxfMHodPACLsFIfO7klr+yiVDsX35Pqx/crt6+7pVI7BfyVy2+uRxL3Pbxt+n3dQdZ07uhWXX5eLI9j88YCQbWvo356Jg3eEGHkKN3zd7BJmDXJviQ/GnD4di3cwd2Lp4b+Pmbrt2tiAkhsuRsYKCAjX7GEUJ9yylpRAnIzK+kHu4cxQSIAHbBCgIURCyvUvYggRIgARIwGcIUBDyvKVe+91abPqpPp173OZe6JAX6fJJnK+kjO9+bjSWXLZO88SRQeU42diPh6vBmlsKKm3NwCuUuEKSoezTW35UmwxT0s2L59DyGxoKPY3fP+PuBDWuz9JrclCiePqYS7fzo3Dh8wMV8aqoRUFIvJ6uV8Snja/txk//2aVmFJMYR4GKl9KyqzcoNtVnPTP3665vVwhC1mwXkYhBpq3Radv9xunqKQi1jSffJgEScB4BnxSE6qpLULn/DZUig0o7bzOxJxIgARIgAc8nUFbdAcXV3eyaCD2E7MLk8kYSOyhnQw7kO3ZjAk58XeHyMTv0CkPa28k48ttx5Dy/E8cKKxChBHpOnnQKApT08yHRxhY9hE5J64KOvcOw99ti9V0Rkrqd21EVdXJe/A1bFv6uzsGoxP8RryHJFvbjvF0o2lIGY4cARA80qV5I3z22TU0dL4GiL1aCWe9ZU4zNr/6OiiPV6HpmJPrfVL+XD287pglCyUrsoBOHKnFwYwnKi6tgig9B4tiu6Hl+DFYoQtShTSXq2J2UwNiX/m8Qjv5+Aj8psZJKd5fD1DMIMYr3U4QS/+iLSZtdztldgpD5OJMIQnPnzqUw5IKVnT9/vnpETxhL7CZ6Z7kAMrskARJwmIBPCkJCqWLvyyosCkIO7xm+QAIkQAIk4MUEymvDcKAy3q4ZUhCyC5NbG7kjy5h5QtH9TTjnsb6ITAhVbx1XUrDnvFQfq2rEw0p8mrO/MTdF47TzEtR5xCN9YFLiB5lLRUm1Ei9ojxqo2jLrV5ASIHrY/Urw6ZGdtOxZdTV1KFh/BN888isqDtfHCkq8Ng69x3RBpwFKbJY6oGhrGVbf/wsSr4lFhCL6mLOM9ftzd5z+154QsclcSn4/jtyX8rH784YZxTr2CceZD5+KzooAJdnVpFQpgap3rjyoBbM29+GKb3cIQo3TpTM7litW0nqfEoxasr9J7CHGF7LOiU9IgARcQ4CCEI+MuWZnsVcSIAESIAFdEZA4QoWFhUrWmz4t2kVBqEU8un/oTkHIDEOOVRmC/VWvG/M9e79FlBHBRwJDVxypbJL+3bIfiQcU2jkIdYrYU3GkympAZ8lOVq0EfG7pmJeIO0HKMbFAU6AiKFWisrTacqgmdX+DH0K7BqP6hNhZBRGk3FHcIQiJEDFu3DhtOhSENBRuqUhg79mzZ2tjpaenq9nKtBuskAAJkIALCVAQoiDkwu3FrkmABEiABPRAIC9vG7Kz16immExhSE+/xqpZFISsovGIB+0hCHkEGA810h2CkKAxBz2OjY3FrFmzmC7djfulsSA0efLkBgKdG03hUCRAAj5IgIIQBSEf3PacMgmQAAn4FoGsrFVKFqo92qTHjk1DdHSUdm1ZcUQQ8guMQkBwouXrrLcTgcrKSlRUVqDwtWLs//hgO1nBYZ1NwF2CkLPtZn+OERARLiMjA8nJyaogx/hCjvFjaxIggdYToCBEQaj1u4dvkgAJkAAJeASBTZu2YO3aDaqtRmMgxo//43hI4wk4JAgZIhAQ0r9xF7x2MwFJOS+p56WcunMgAn80utkCDucqAq0RhIymAPgH1sc7aqtdEl9IjpRJViyKFG2l6fj7El9IAn7L94QJE9QYQ473wjdIgARIwDoBnxWEKg9koK6qSPkHtgxFRUUaocjISERGdtCuWSEBEiABEiABTycg3iNbt25T/ntXjL59+yA2tqvVKdUiAHvK+1p9bvnAj4KQJY52q4sYJKKQlJjc7uiU31mt8w/PJ9CegpD5GJlQTExMZGasdthO06dPR2ZmpjayHC+TtWAhARIgAWcR8FlBqOrQB6itKHAWR/ZDAiRAAiRAAl5DYHe5fV4/FIT0seRrv1uLTT9tUo3psjEeUTui9WEYrWgzgfYUhMQjJTc3V5vDtGnTkJaWpl2z4noCjddA0tVLJjIWEiABEnAWAQpCziLJfkiABEiABEjASwhQEPKshRQPsDVr1kC+o76PxYmvKzxrArTWKoGYZBMueCbJ6vPmHjjryFjjYMfLli1DXFxcc0PynosIyHE9EYXKyspUzyBZExYSIAEScCYBCkLOpMm+SIAESIAESMALCNgtCPkZEBA+1Atm7D1TYJYx71lLmUmXYR0x8sl+Dk3KWYKQDCrHxuQzceJEeqY4tArOayzxg0QYauwZJPfFg6tPnz4U6pyHmz2RgM8RoCDkc0vOCZMACZAACfgiAYmZV1hYqMQPilWCw4a3iMBeQUg6MZjOarEvPnQvAQpC7uXt6tHaWxBy9fzYf+sJjBs3ThWKpAce52s9R75JAr5OgIKQr+8Azp8ESIAESMDrCUgw6SVLlmvzHD8+HUaj9UxU+ysTUFEbqrVvqUJBqCU67n9GQcj9zF05oh4FIfFWmT9/vnqESY4zsbifgGR/E68tc5GjfHKkj4UESIAEHCXgs4JQdck61JR+7ygvticBEiABEiABjyOQk/MDcnJ+0uwePToFCQnx2nXjCgWhxkT0fy3xg0rLSlG0qAz7Pz6of4NpoV0E9CYIyTGlMWPGqGnQZQLp6emYMmWKXXNhI+cRkHWQAN8SW0hKamoqJCMZCwmQAAk4SoCCkKPE2J4ESIAESIAEPIxAYw+h9PSxLR4bO1jZAydqTXbNkh5CdmFyaaPCfYVYvqzeAyx+a1+Ebglz6Xjs3H0E9CYINfZMkSOoEmOIxf0ExFNLso6ZTCZVlJNvFhIgARJwlAAFIUeJsT0JkAAJkAAJeCCB/PxdEGEoLi5WiSPUtcUZHK3uBPnYUwLC+sPPP8KepmzjIgLZ2dlaLJGY3O7olN/ZRSOxW3cT0JsgJPO3TIUudR4bc/eusD2eHOmTmHG33347A07bxsUWJODTBCgI+fTyc/IkQAIkQAIk0JQABaGmTPR8Z9PmTVi7Zq1qYpeN8YjaEa1nc2mbAwT0KAiJ+eIVJB4pKSkpDsyGTd1BYNasWcjIyFCHkjVatGgRRSF3gOcYJOChBCgIeejC0WwSIAESIAEScBWBsuoOKK7uZlf39BCyC5NLG0n8oJzcHJSWlCLq+1ic+LrCpeOxc/cR0Ksg5D4CHMlRApbZx+RdOVbWOGW9o32yPQmQgPcS8FlBqKbsB1Qf/dZ7V5YzIwESIAESIIFWEiivDcOBSutBpy27pSBkSaP968wy1v5r4EwLWiMIBUcZnGmCXX1JkOMZM2aoRxcnT55MzyG7qLmmkXhvyVpISUxM1OIMuWY09koCJODpBHxWEKqt2IOqQ0s9ff1oPwmQAAmQAAnYRaC0tAy7du1W4wdFR0e1+I5DglBoIvwCWu6vxcH40KkEKAg5FWe7d+YpgpBkGlu9erXGS1KgSyp0lvYhIMG/t27dqmYiY7Dp9lkDjkoCnkKAgpCnrBTtJAESIAESIIFWEpAjRQsX1seUkC7S0i6xGVh6d3l/u0bzD+oOf2N3u9qykesJUBByPWN3juCpgtDMmTPpJeTOjWLnWBJsWsSi9PR0ro+dzNiMBLydAAUhb19hzo8ESIAESMDnCRQW7lOCwH6qcRgyZJASU2Kwdt1chYJQc1T0e6+0rBRlZWUofa8S+z8+qF9DaZlDBDxFEJIU6JJtTPagHFNavHixQ/NkY9cTsDxKJqNRtHM9c45AAp5AgIKQJ6wSbSQBEiABEiCBNhBo7CE0enQKEhJajhG0p/w01MLf5qj0ELKJyOUN8vPzkZWVpY4Tt7kXOuRFunxMDuAeAp4iCAmNgoICNdU5Axi7Z284Oopl9jF5VwQ8+bCQAAn4NgGfF4T27i3A9u07tV0QH9/D5v8ka41ZIQESIAESIAEPIVBUVIz8/F2Q+EG2xCCZ0v7KBFTUhtqcnZ8hAgEh9h0vs9kZG7SKQHZ2thrMV16Oye2OTvmdW9UPX9IfAYcFIT8guKP7g0rrjxwtakzA0osrPDxc9eJinKfGlHhNAr5HwGcFIdRWoKLwf6Ag5HubnjMmARIgARKwTYCCkG1GemmxafMmrF2zVjWny8Z4RO2I1otptKONBGKSTbjgmSS7e/Ez+CEoIsDu9q5uOHv2bFV4SElJwbRp08AAx64m3nL/kg1OBGTx4qIY1DIrPiUBXyHgu4KQssIVe1+mIOQrO53zJAESIAEScIhAUVUcjtXYPnrkFxCGgFD7f2B1yAg2touAHAncmrcVRYeK0OG7zijLPm7Xe2ykfwKhpwUg9eXhdhuqJ0FIhIepU6dqtksgY8lGxqI/ArJWkiUuNTVVFYv0ZyEtIgEScBUBCkI8MuaqvcV+SYAESIAEPJjA0epOkI89xWA6y55mbOMGAswy5gbIbhzCkwWhxkGMR44cCYljw6IvApJ1bOLEiZpR8+bNoyik0WCFBLyfAAUhCkLev8s5QxIgARIgAZSWlmHXrt0wGgPVGEJGo7FFKhSEWsSj24cUhHS7NK0yzJMFIZnw9OnTkZmZidjYWFUMkgxkLPoiIKno5WMu4iUk68ZCAiTgGwQoCFEQ8o2dzlmSAAmQgI8TyMh4XxGFjqkURowYiqSkAS0SOV5jwqGqHi22MT8MCE+Cn1+Y+ZLf7UiAglA7wnfB0I4KQoYQf8hHT0WCGVMI0tOKNLTFMti0PKGHUEM+vCIBbydAQYiCkLfvcc6PBEiABHyeQOO087GxnZGWdlmLXMprw3CgsuXU9OYOAsL6w88/wnzJ73YgUFpWimIlk9zxpTU4tKK4HSzgkK4g4A2CkCu4sE/nEigoKFA9uSTYtHxYSIAEfIeATwtCVYc+wO87NzDtvO/sd86UBEiABHyWwJIlH6Go6Ig6f3s8hCgIec5Wyc/PR1ZWlmpw3OZe6JBnOxi458zOty31RkFIYgtJ9jEp4o1C7yH97nERivbt24fk5GT9GknLSIAE2kSAghAFoTZtIL5MAiRAAiTgGQTESyg/f5cSQ8ioxhCyx+rd5f3taQb/oO7wN3a3qy0bOZ9ATm4OcjbkqB3H5HZHp/zOzh+EPbYLAW8ThCTt+ahRozSWkvp82bJl2jUr+iEgR8kk2LSsmYh2It6ZTCb9GEhLSIAEnEKAghAFIadsJHZCAiRAAiTgfQQoCHnGmsoPbpI2WkqXjfGI2hGt1vmH5xNwVBAymgLgH+in64mnpKSgrKxMtTE8PFzbu7o22geNMwcEN099woQJkA8LCZCAdxGgIERByLt2NGdDAiRAAiTgNAIFFX1QXRdosz9/Y1fFSyjBZjs2cA2Beu+vfBQVFyE4uwPKso+7ZiD26nYC3igIyZExc/r5KVOmKPHM0tzOlQPaJiDrNGPGDK3htGnTuFYaDVZIwHsIUBCiIOQ9u5kzIQESIAEScCqB/ZUJqKgNtdmnnyECASH2HS+z2RkbtIkAs4y1CZ/uXvZGQUggyzEkHj/S3XZrYpCkoxfvQ/HqondQEzy8QQJeQcC3BaHiTPy+fQ2DSnvFVuYkSIAESIAEWiJQWlqGXbt2q03i43sqP4yFt9RcfUZByCYi3TWgIKS7JWmTQd4qCLUJCl8mARIgARJwGgGfFoSqS9Zh968fURBy2nZiRyRAAiRAAnolkJW1SgkqvUc1LzGxl/Ib3/Nsmnq4qitKa6JstvPzD0ZA2Bk227GB6wlQEHI9Y3eO4KggFBxlcKd5ThtL4mBNnToVktWKR5OchtUlHYl3l/ko2eTJkyGBwVlIgAQ8lwAFIQpCnrt7aTkJkAAJkIDdBBYuXIzKyiq1vdEYiPHjx9l892h1J8jHnmIwnWVPM7ZxEQGJH1R0qAg1Kww4tKLYRaOwW3cT8BVBaMyYMaoYJHzlKNmiRYsoNLh7s9k5nmQey8mpz2ooYpCsFY//2QmPzUhAhwR8XhA6UvAlioqKtKWJjIxEZGQH7ZoVEiABEiABEvAGAtnZXyMvb6c6FXs9hCgIecbK5+fnIysrSzWWWcY8Y83stdJXBCGJT5Obm6thWbx4sZrqXLvBim4ISDwhc5Y4MUrS0Q8ZMkQ39tEQEiABxwj4vCBUU/q9Y8TYmgRIgARIgAQ8lEB+/i7V8oSEeLtmUFbdAcXV3exqGxDWH37+EXa1ZSPnEsjJzUHOhvrf2Mfkdken/M7OHYC9tRsBhwQhJdt8cEfPPTImopAIDenp6ZDsYyz6JGCZfSw5ORkSeJqFBEjAcwlQEKIg5Lm7l5aTAAmQAAm4lEB5bRgOVNonHlEQculStNi5pYcQBaEWUXncw5hkEy54Jskuu/0MfgiKCLCrrV4bMfuYXlemoV0S82nr1q1MQ98QC69IwCMJ+LQgVHPsF1QfWeWRC0ejSYAESIAESMDVBBwShEIT4RdgOwC1q2321f5FFJI4QoGrwnF0VamvYvC6eXcZ1hEjn+xn17y8QRCya6JsRAIkQAIk4DQCPi0I1VbsQdWhpU6DyY5IgARIgARIwJsIOCII+Qd1h7+xuzdN3yPnwixjHrlsVo12RBAyBPvBEOrZHkKWIMRbSDKPiTeKZLNKS0uzfMy6zgjMnj0bEvtJ4gnNnDmTgaZ1tj40hwSsEaAgREHI2t7gfRIgARIgAS8iUFlZqfxgtR3yQ1ZiYh9ER9v25qmuC0RBRR+7KFAQsguTyxuJIHR4/VF1nAB/PyhhZVg8mICpZ6jdHkKGEH/Ix1uKxBFavXq1Np1ly5Yx85hGQ18Vy7hCYllqaiqmT5+uLyNpDQmQQLMEKAhREGp2Y/AmCZAACZCAdxFYu3YdNm36VZ2UyRSmBG69xq4J7i7vb1c7v8AoBAQn2tWWjdxDIC7YiLpq94zFUdqfgLcLQsxm1f57zJoFkoZe0tGby8iRIzFr1izzJb9JgAR0TICCEAUhHW9PmkYCJEACJOAsAsuXr0Bh4QGtuwkT/qLVW6rYLQgZIhAQYp941NJ4fNY6AhI/qLCwEPHx8TCFm9RO4oKDFEGornUd8i2PI2A0BcA/0Ht8wuSomDnzGAUG/W9H8QjKzMxEbGysmoo+Li5O/0bTQhIgAfi0ICTrX7H3ZW4DEiABEiABEvB6Anl525CdvUadZ3R0JMaOvdKuOVMQsgtTuzYSMWjJ+0s0G8aPHw+j0YgepmBUn6jV7rPi3QS8TRCS1ZIjriJ0JibS+9ATdm9BQQGP9XnCQtFGErAgQEGIgpDFdmCVBEiABEjAmwkUFRWrP2AlJNiXSl5YFFb0RlVdkF1YDKaz7GrHRs4lkJObg5wNOVqnaWPSENs1loKQRsQ3KkGRBvh5Twgh31g0H5iliHpSTKZ6z0UfmDKnSAIeRYCCEAUhj9qwNJYESIAESMC9BPZXJqCiNtSuQSkI2YXJ6Y0k5XxWVpbWLz2ENBQ+VQmOMnj9fEVckGxW4okix8kkoxWLfgmYg02LGCSZx7he+l0rWua7BCgI7XsdqKlXrn13G3DmJEACJEACJNA8AYcEofChgJ/3/1DaPKn2vSuikBwdS0hIQHRUtGoMj4y175q4e3RfEITMcWqErYgMixYt4hEld280O8cT8W7UqFFaa1mvL7/8UrtmhQRIQB8EfF4Qqjr0AWorCvSxGrSCBEiABEiABHRGwBFBKCCsv3JkJUJnM/BNc4yB/uiiZBljDCHfWH8/gx+CIgK8frKNU9GL10lKSorXz9tTJyhrU1ZWppofHh6uxLHL9tSp0G4S8FoCFIQoCHnt5ubESIAESIAE/iBQWVmJvLztylELCdB6quJJYl8coaPVnSAfewoFIXsouadNsNEfnYIoCLmHdvuP4iuCkGXmMQk0LanoGZum/fefNQvM6yXPJQ09j4xZI8X7JNB+BCgIFWei9kR++60ARyYBEiABEiABNxCwzDImw40fn65morI1tEOCUHAC/AK72uqSz91AgIKQGyDraIiAID8Ehnm/h5Agl/hBknmM4oKONiBNIQES8FgCPi8IVZesU0IIfe+xC0jDSYAESIAESMAeAjk5PyAn5yetaVraJYiNtS3eOCII+Qd1h7+xuzYGK+4jsGvXLhwqOqTFEBJBqHNIEKqO1bjPCI7UbgQMIf6QDwsJkAAJkAAJOELA5wWhzesXomD7So1ZfHwPu93otZdYIQESIAESIAGdE5CU80uWLFetNBoDFQ+hcXZZTEHILkzt2kiCSS95f4lmg2QZ69wxFB2Uda4spSCkgfHiingHiZeQr5bMzEzVcyg9PZ1HyHS+CeQY2cSJE1UrJ0+ejLS0NJ1bTPNIwLsJUBCiIOTdO5yzIwESIAES0AhIHCERhuzxDDK/VF4bhgOV9sUb8jNEICCkv/lVfruJQE5uDnI25GijpY1JQ7/ePSgIaUQ8p1JdXY1jx45pBhsMBoSFhWnX1ipGUwD8A31TEJLYNBkZGSoaiSu0ePFia5h4XwcEJPOYZCCTIvGfli1bRhFPB+tCE3yXgM8LQhvXL8X+7W9rO4AeQhoKVkiABEiABEgAFIT0vwnoIaT/NbLXwiNHjmDjxo1a8+joaAwcOFC7tlYJ7mgAfFMPwoQJE5Cbm6uhkUDTjC+k4dBdRTyCJAaUuYggFBcXZ77kNwmQgJsJ+Lwg9MP6j3Fw+5sadgpCGgpWSIAESIAESMAxQcg/GAFhZ5BaOxAQUUiC7SYkJMAUbkJMRBDCAvx5ZKwd1qItQ7ZaEIpSBCEfLcuXL8eMGTPU2Utqc/EQosCg381gzjwm6einTZvGI2P6XSpa5iMEKAhREPKRrc5pkgAJkAAJtIZAVV0wCit62f2qwXSW3W3Z0HUEYjsGw6i4jDCGkOsYu6Ln1ghCfgF+COrgGxnGrDHPzs6GCA2pqakUg6xB0tl9OTYmR8ZYSIAE2peAzwtCG9Z/ieLt87RVoIeQhoIVEiABEiABLyOwefPPyM/frXiR9FSOodgf62d3uf1tKQjpY9NQENLHOjhqRasEIYMiCEX4tiDkKGe2JwESIAESqCfg84LQ+vXrcWT7bG0/UBDSULBCAiRAAiTgRQQss4zJtEaPTrE7qyYFIc/bCN2igmGoo4eQp61cawQhQ7AfDKEUhBqvtRyhlGNJEmiaRd8ExLtr/vz5qpFyjIyeQ/peL1rnXQQoCFEQ8q4dzdmQAAmQAAk0SyAvbxuys9doz0aMGIqkpAHadUsVhwSh8KFKcFvfjWfSEkdXPtu1axcOFR1CTHQM4uPjcUrnUNRW1fHImCuhu6DvVglCIf4wKB+WPwhYxhVinJo/uOi1NmbMGDUGmtjHTHF6XSXa5a0EKAhREPLWvc15kQAJkAAJWBCQlPOLF7+PysoqGI2BGDt2jPJb2HCLFtarBRV9UF0XaL2BxZOAsP7w84+wuMOqqwk0zjKWPi4dg3p1QV1NHSqO1rh6ePbvRAKtEYQCwwMQYPTRFGNW2A8dqgjTFuXLL7+k14kFD71VU1JSVG8us10bNmwwV/lNAiTgYgIUhBRBaPem/yIi5ISKmkfGXLzj2D0JkAAJkEC7Eigs3IfY2K4O2bC/MgEVtaF2vUNByC5MTm20afMmrF2zVutz9MUXYNTwQep1eXG1dp8V/RNojSBkNAXAP5CCkOXqWqail8xj4jHEY0iWhPRVt/ToksDg06dP15eBtIYEvJgABSEKQl68vTk1EiABEiABZxCgIOQMiq7ro7SsFBmLM7QBJtw2Hqd0jVSvKQhpWDyi0hpBKNiHU85bW1TJYDVlyhTV60TEBcYRskZKP/cljpCs25AhQ/RjFC0hAR8gQEGIgpAPbHNOkQRIgARIoC0EKAi1hZ573hVRqLCgELFxsegSE4kuEUHqwBSE3MPfWaM4Kgj5KaGDgiIZs8tZ/NkPCZAACfgaAQpCiiD0y4YFiI08qq49j4z52l8BzpcESIAESMAWAYcEoeAE+AU6diTN1vh87hiByDADOoYZ1ZcoCDnGrr1bOywIMeV8ey8Zx3cRAfEWyszMVD2G6OHlIsjslgQUAhSEFEFo07qF6BFdrG4ICkL8e0ECJEACJOCtBCTTWF7eDjWYdHLyGXYHlT5Y2QMnak12YfEP6g5/Y3e72rKRawhQEHINV3f06qggJNnFmGHMvpXJzs7G7Nmz1eNjTG1uH7P2aiVi0MSJE5X/XuWpJsybN49HydprMTiu1xOgIERByOs3OSdIAiRAAiQAJbtYJRYu/CPOjCNp549Wd4J87CkUhOyh5No2XToEITQoQB2EHkKuZe3s3h0VhALDlAxjQQwobWsdCgoKIKnNzYWBi80k9Pmdk5OjCkJm65KTkzF//nzzJb9JgAScSMDnBaG9e/eiYMeniAj4RcUaGRmJyMgOTkTMrkiABEiABEig/QmUlpYhI2OJZkhiYi+kpJynXbdU8RZBqLBwDz5e+r461f5Jp+Psc0e1NG2nPnt9wX9QpYhy4aYI3HDTrU7tWzqT36QXFioxhGJjMVLJMBYcqASXUQoFIRWDx/zhqCDEDGP2La38/Rg3bpzWWI4gLV68WLtmRV8ExEMoLS1NS0Wfnp6uBgnXl5W0hgS8g4DPC0KyjLUVe1B1aKl3rChnQQLtSCBn4x58/d1vSLukH3onxLSjJRyaBEigOQLLl69QRIMDMBoDccklF9idft4hQcjYFf5BCc0N3+73fshZh7tvu0m1Y+wNN+HvD0xrYtOx42WKaPQewsNNGH35VTAYnBOwd/S5Z+D4sWPo0jUOS1asbjJuW24UFRdhyft/iH3jr7sCfRP7qF1SEGoLWfe/66ggxAxj9q+RZBuTmDRS5MiYCA4s+iUgIt7MmTMxdOhQTJgwQb+G0jIS8HACFISUBaQg5OG72IPMnzJ9uSqYtNVkg8EfazL/r63dOPX9isoaDBv9PMqOV6JPrxh8+vbtTu2fnZEACTiHQFFRMaKjoxzqrCVB6NtvczHzmQVqf2ec0Q/TH38YASH9Heq/vPwEbrz6MuVYWwX8lbRJr779oWJjZ4f6sKexPYKQePL87+Xn1O4effYljLroUnu6ttnGlYLQps2bsHbNWs2GpF6dNW+I1ghCF1wxEseOlWn9tbZy5tCz8NLMOa193Sffq66u1rwiBEBgYCDCwsKaZcEMY81iafGmHEUSL7q4uLgW2/EhCZAACfgKAQpCykpTEPKV7d7+85ww5T18/vX2NhsiglDemgfa3I8zO9i15zBGXT1X7TLIGICNX0xRvBDqY1g4cxz2RQIk4H4CLQlC5eWVuGrMnSgvr0BAQAA+WL4Q0bFnOWTk5yuXY/pDk9V3Tk8ehjkLXHOUwx5B6NFHpuLTjz9Sbfnr3ybhlgl3OzQXa41dKQhJyvmMxfXxoQ4X7ce/7rtb+4G3NYLQ6SMGNBAlrM3J1v1zRpyHN+a/ZasZn7eSgB8zjLWSHF8jARIgARIwE6AgdJJExd6XzUz4TQIuIzDvje+w6ZdCq/1/sz4fJaXl6vMLzzsVQcbmjyoEBPjjhceutNpPez0YP+ltfL3uN/z52qGYNvXi9jKD45IACTiZQFl1BxRXd7Pa6+OPzcVnWd+qz++ZPAHX3nyf1bbNPbh/0gSs+fpL9dH9/3wUY66+oblmbb5njyC0/rtv8MjU/0NQUDBeXrAI8Qm92zyudOBKQUj6l6DhcnSsW5doxHeJlFtqaY0gdN8jU3DixAlzFw2+a2pqkLVqpXovLCwc558zssFzy4t+iafhromTLG/prv7Cf57Di/99HgvnvoHzWpiL7gxXDGKGsbavigSbXr16NSTItMlkanuH7MFlBCSukGSJ27p1qxpPaMiQIS4bix2TgC8RoCB0crUpCPnSttfvXFNvfhU/b92vGrh+5STERDXvJq7fGUAVtCJMwXo2kbaRAAk4SKC8NgwHKuOtvvX9+p9w39Rn1ef9ByRi/lsfW23b+MHRo4cx5sIREKEh0GjE8lVrlfg9EY2bOeXaHkFIBpIjbAZDoNPiB0mfrhaEZAwplinn5bo1gpC8Z62UlZVBPIik9D6lN7KWfWGtqUfcH6PEW9ryy2aPFIQCw5UMY0ZmGGvtRpMYNZLaXIQGCTItqc0pCrWWpuvfmzJliireyUiyTsuWLeN6uR47R/ABAhSETi4yBSEf2O0eMEVvEIQ8ADNNJAGfJZCfvws5OT8q/xMdjiFDBtsdS8iWIFRbW4uxf7obhw+XqGzfyfwC3br1sIvzh+8twqwnpqttR154CR6f6TqPXXsFIbsMd7CRuwShmIggmIL/OK5LQcj6Qu07sA/nXDhcbeCJHkJBkQZIHCGW1hGwDDItPUyePFmLvdW6HvmWKwlYCkIyjgh49BJyJXH27SsEKAidXOmKfa8DNaW+su6cp04JUBDS6cLQLBLwEgIZGe8rvw0/ps4mIaE7Ro++0K6Z2RKEpJOXX3oL77/3qdrfbXfdi/G33WVX338bfz02bcxV2z4xew7OHzXarvda08gXBKHYjsFaynlhREHI+k55+/3F+MeMh9QGHicIKY5BwR2bP1ZufcZ8YkkgOzsbU6dO1W5JRquUlBTtmhV9ERCPLsk2Jl6K4tG1eLFrYs3pa9a0hgRcT4CC0EnGVYc+UIJLF7ieOEcggRYItFYQen7e18jbeRDnnJmAG8cmqyOUllXgjXc3YPlnv2DX78UINAQgvkdHLH/z1iYW1NbWYc2GXcjK3orf9x7B7wVHceBgKWKiw9AjLhIDTuuC224cjqjI0CbvWt6484EP1Mu4rhF45O8XWT5S69t2HsJz875S60/84zJERoSguqYWK7/Yityf9mDjlgL8su0AOkaGIL5bR/RL7IKJfz4LnWPCm/TFGyRAAo4TWLhwsRJrpkp9MTa2s5J2+TK7OrFHENr662+YOOFfan/xylGiRR/Ux5lpaYCCgj247opRahNTRAcs+3ytmlWpuXfkGFf25yuRu2E9CvfsRsHePcoPBqXoGhuH2G7dMeysc3Dl2PQWj3nZIwh98dkn+CJrhWpC+p//igFJZzRnjnbv4MH9+GTZEuT98jN+/XkzykpL0LffAJw2IEmx6WwMG36u2vbylGEoOXrEJWnnZQD5YamwsBAxoXVIveJyzT69CkJHS47ig4/exyaF2c+/bMLve35HL2XfnNa3H4YpgcWvueo6+Pvbdn/5Ne8XvL74deRt+xWF+wpwqKgIkR06oGuXrujerSdGnT8KF6ZchKiO0RqTHb/twGtvLsDS5R/ghLKvpAxVxoyJ7qS1kUqSsoZ3/PXOBvf0csGA0s5ZieXLl0M+48aNoxjkHKQu7UViPsm/c/QMcilmdu5jBCgInVxwCkI+tvN1Ot3WCkLpdyzCutzduEgJRD1/1rXY/tshjL/nHRTsqz++YZ7ugL5dmghCGUt/wJxX1zRpa37H/B0eZsT0+0bj6suTzLeafPc680n1XmLvTliZcVuT598pNo5TbJWy6D/jkNQ/FncpIpIEorZWwkIC8cD/XYCbrq0Xuqy1430SIAHbBHJyflCOjP2kZAAMxNlnD1N+y9rH9ktKC3sEIeno5pvux++76wPnL8hYir6n1ceasTaIZYr3K6+5Aff949EmTevq6vDc0zPwaeZHNlOhx3XvAUkVb21cewShBfNexGtzX1LteGzmS0i50HraeenvX/ffg8NKMGdr5ea/TsSEu6bg+jEXokARPbp0jcOSFautNW/VfQkmveT9Jeq7ny19S/3NufwGXYoeBaFNP2/C3ZP/pvwC4nfVxub+OOvMszHryefQtXPX5h6jqqoK9z4wCSsVAc9WCfAPwJLFSxWBZxA2K/GCrro+FbKvbBURkua/tMBWs3Z5zoDS7YKdg5IACZCA1xGgIHRySauKM1F7It/rFpgT8iwCbRWETh8Qi/88PRZXjFuAIyUSFNUf/RUvm359OuNoSTl6xUdh6p0pDaC88tY6PPFifVDQU3pGIXlQN5zSIwodO4Zib8ERfPbVNohnj5SQYANWvj1B8Rrq0KAP84UjgtBtN56Jb9fnqx5BXTqZMOyM7ugdH40OitdQvuLRlL12B3bvOaJ27e/vh49evwUiaLGQAAm0jYBko5JiVAI421vsFYTefOMjLHjlfbXb62++Rfmh/+EWh7jx6kuxS/HWkPKf1zIw6IyhzbZ/4J6J+Par+n+nBg4ajD6n9UP3ngnqHHbv+k0Vi8T7RkrvPn3xasZHCAj4I46OuVNnCkKfLF+Cp6b/A7W1NWr3vU5NxBlDhqnj71M8VfK3b8f6td+goqIc518wGvk7t2N3/k6XCELiHSTHXyTl/IavP2sQC0VvgtBHH3+IB/91v5oVTcCde/b5OD3pdMR2iYV47nz97WpsV1hJ6RipeLW+9wliFRGtcfn7A/dg2SdL1dtdlXcvv+QK9FA8xYKDQ7Bvf6EiNu3BGoW/xAnq07sPVnz4Gfz8/FQvokXvvKm+t3b9Wvz40w9q/YpL09BTERQty6m9+uCqtKstb+mmzoDSulkKGtLOBMRrKC6u6b8R7WwWhycBjyFAQejkUlWXrFNCCH3vMQtHQ72TQFsFITla1UsRdcQTZ3hyT7z0xFU2M5UdPnoCTymC0LVjBmHo6Q3/Z1goV1fX4v5HM7F0xRYV+lWXDcDsGWOaXQBHBCFzB+l/GoyH770Q4glkWSoqa/DIUyuwJHOTeluEqvdf+bNlE9ZJgATcSGB3eX+boxUWHkT69ZPVdjGdOuODlV9bPfaTt/Vn3HrDlWpbOfL17vIv1B/Ymxtkw/o1yFE+V1x1Lbp3b5rt7MiRYtx92034bcc29fUHpz2BVKVt4+IsQejE8eMYe/lI9QiYjDH2hptwz33/bDLXnTvy8M/7Jmmil7R1hYeQiHwLFy7EwX2/48fvVqvZd8w/IOlJEDp8uBgpl5+nxgCJMEXg6UefxehGHlgyl0cVj7DF774luDDm8qsUD7EX1Lr5j70Fe3H+JWerlyOGn40FcxYiKCjI/Fj7Fi+gH37KRa1yNFmOhDUuT858HK+8Pl+97WkxhNT4QUocIRbnEhBxVYJNy9+fadOmMYuVc/E6tTfJDidZ4mTNmCXOqWjZmY8RoCB0csEpCPnYztfpdNsqCJmndfmFp+GFx69CgOJZ44xyqPgYzh0zR/mNbg2sHQeTcRwVhC5JScR/nxlr1cSy45UY9af/oujwceUHRWDLV/chOMhgtT0fkAAJuI6APYKQjP5/d/4bmzfXCzPPz3sdQ5WjP82Vl597Em+/8ar66M+3/U05VlUvJDXX1p57X6/+HA/d+ze1qQg0f39gWpPXnCUIvfHqXOUo0Sy1/4svG4NpT9TXmwyo3CgqOohrLhupHnGS564QhKRfEVKOHNyD/qfGN/ghVk+C0OPPPopX33hFzMXMx2fjT2Oa//dfstZd9mdOOIAAAEAASURBVKeLNU+h9976AMmnD1Hfkz+Wf/KRelxM6nNm/xeXXvxHzCS5Z2/xVEFIMotJhjEW5xIQgWHMmDFqGnrpWeLUSCYrFn0SmD9/PuRjLswSZybBbxJwjAAFoZO8KAg5tnHY2jUEnCEIhYcasWrJHeikBIR2Zrk0/RXk7TioCjIizIhA07g4KghJgGtbx8Am/WMpMpXA2FI+fft29OkV03hYXpMACbiBgL2C0EdLV+G52QtViy6/8ho8PL0+tpilifID/9WXnY9DB/artxd9uBLxCb0tmzhcLyk5gstH1nuBDD/nfMx6eUGTPpwhCFVXV2PMRSM07yB7YiU9phyRWrn8Q9UeVwlC0nmXDkEIDWp4VE4vgpAc4xp1+fmqcCWxfJa+vbzJ+ljeeH/pu3jgn/ept/5y4y3414PTtcdfrF6F2/+vPkHClEn34c7b/0975kjFUwWhAKMf5MgYi3MJiCA0atSoBp1u2LChwTUv9ENAgoHPmDFDM0gykMmHhQRIwDECFIRO8qo9sQNVxfVZRRxDyNYk4DwCzhCE7rrlbEz520jnGXWyp7/e+y6+XLNDvcr9/F41Q1jjQRwRhLrFdsDXH9nO3vLMnC8x9/Xv1KHmz7pGCZxtXxDcxrbxmgRIAEp2ln1KUOkflbg2Fcpvv89AQkLT41fWONkrCJWUlOHqq+5WjptWIyzchOVK5jBjo+M8Od+vxT0T6o+AntY/Ca8sqs9QaG1se+9fNGIQJBuZxBF6/d3MJq85QxDaq2Q4uz7tQrVve21f/903mPy3W9R3XCkIdY8OQWBAQ7VeL4LQJ59m4u6pd6kM7pp4Nyb/3x/pvpsslHJj05afcNUNaeqj884ZCTnSZS4lSia3IeeersRvqkV4eDiee+pFXDCyfk3Mbez59lRByBAaAENww3W2Z75sY5vArFmzkJGRoTaUI2NpafV70PabbNEeBOR4X2ZmJpKTkyFrZzKZ2sMMjkkCHk2AgtDJ5aut2IOqQ/XBCT16RWm8RxNwhiA099mxGD2yPrtMW2BI7KDiI8dRXlGt/Ea3GtOezcJaJTW9lJzP7kXHDiFNundEEBp2Rg+8M/+mJn00vvHfhWvw7H9Wq7efe/RKXHmJ7TgmjfvgNQmQQD2BrKxVyM/fo16YTGFIT7/GbjT2CkLS4SP/fAXfrK7/e9tcpq4nZzyMj5e+p4496b5/4Lpx49W6o3+UnziBktKjyr9RFahURK6//eV6NROZBHh+472Pm3TnDEFI4hndO/Evat+XKQGH//Hvp5uM0/hGfv4O3PSn+mxlrhKE/BW3zfhOjf5drlOyjB2ubmxOm67Lyspw+ogBah+9lTTxWcvqg33b6vS/r8zBzBeeUZs9Of0pnDPi/BZfKVbiQkk2MCk9uvVA9spvGrSf/fJMzJn3knpPgkWLIHTrzX/F8GEjrMaiatCBcuGpglBQhwD4NRL+Gs+N160nIDFppJgz9bW+J75JAiRAAvon4POC0Pr167FixQpEhJRhQPffER/fw6HfmOp/iWmhJxFwhiD0+XsTlGxi0Q5NW8SfT7O3Iis7D3sLj2DvvlIcLCpTfvuq/DTRTHGGIJR6cX+8+Hh9QNlmhtBuURDSULBCAm0mYCkISer58ePH2d2nI4LQV2v2Kkd8HlT7lgxbT8yao41TpcS6Sb3wLBwrK1UzgX2Y9Q2iomwfBS1VhJ8Vyz/Ajxu+x34li1ehEljYnFlM6/xkxZWCUKYiZD2lCFpSbr7tDkxUUsrbKmVlJbj0vCFqM1cJQlt/2YTPl7+nxj1JT09Xx6qtqkNlaY0t8xx63lpB6KFpD+DdD952aCxzY39/f2zb+Jv5Uvt+fs5szJn/kuopZL4Z3zMB464dh+vGpkMCV7dUPFIQUhyD1IDSLU2Mz0iABEiABEjATgIUhE4KQqFBJ3B6z3wKQnZuHDZzDQFnCELWxBprFs959VssfGeDGri5cRtTuBKPIsSofAKx/2Apjp+oUptYG8MRD6GbrxmCGfePbjxkk2sKQk2Q8AYJtJpAfv4uJT35t+r7SUn9FPFgsN19OSII1QSeqsTZuVj11gk0GrF81VrlaE/9D+fZq1bikal3q+Oede5IzHypPsiwNUOOHS/DC08/hs+VI0fiBWRZRCgIV37oDwkJRXBIiJbNy5WC0IJ5L+K1ufWeKX9/8F8Ye/3NliZZrY8aPgAihrlCECpVxLWnH5uGrT/VxzuZOXMmUlJSoCdB6Kbb0rF23RqrfGw92LGp3kO1cbu87VvxsuIp9OnnK9RjiubnocqeuFqJYXXPnfciqmPzvyTRoyAkRy2PHTtmngYMBgPCwsK0a8YP0lC4rSKxhQoLC+kx5DbirR9I1mrbtm3o2rUrU9G3HiPf9DECFIROCkKy7iP6/EJByMf+Auhtuu4WhJ584Qv8b9E6FYOIPqNT+iJtdD8k9IhC187KD1nBf2QxSb9jEdYp6eylOEMQ+vO1QzD9PgpCKlD+QQJuJiAZqYyKUONIcUQQCgjrjyf//SQ++eh9dYh/PPo0Lku9Wq1Pf+jv+HxlfXyfaU/OwsWXjrFqRkVFOabcdSt+zPlebRMd0xmXXDEG54y8AF1i4xAT00X9gdncwbmD62OMuVIQemfRa3hp5hPqkHfcMxU3jZ9oHr7Fb1cKQoX7ClWvpYJd9XHezNl29CQITZx0Oz7/Mktl9MIzLyFRifPkSEk8teX2h4oOqR5Ii955CxLA2lw6xXTC7KdewNnDzzHf0r71KAgdOXIEGzdu1GyMjo7GwIEDtevAsAAEBCluQixuISDHxyS1uQgNEk9I4gqx6JNAQUEB7rjjDsi3xBJatGgRRSF9LhWt0hkBCkIUhHS2JX3bHHcKQiu+3Iq7HqgP5BrdMVSN59PSUbNrbnsDuT/tVReIgpBv71PO3jcJFFb0RlVdkF2TF0EoN2eLFjh61MWX4dFnXlSO9tTgilHDUVpyFCGhoYrn0HcIDm4U98ZihOeenoElb7+l3hk4aDCen/u66glk0USrimdFyrB+6rUrBaGvFFHj4cl3qeOMTb8Zf7//X5oN1iqWGdBc4SEk49592zjsK9ijBllevHix+oNQdXkdqo/r48jY0889ifmvzlURPf/0i0i73PaRYWs8W7pfU1ONlZ+twLPPP43f9/6uNg0LC1diHa1SftHRtcGrnigISbp5STvP4h4CkrUqNzdXG0z+bjG2kIZDV5XGaejl6OyUKbaP9OpqEjSGBNqBAAUhCkLtsO04pDUC7hSE/vHkSmR8+INqyjP/ugLXpA6yZpZ6f9glL2jHyigItYiKD0nAKwnsr0xARW2oXXMTQagO4Vpqeck29kn299iy6QfceUt9fJtLUq/CPx99tsX+xv3pEuzO36m2ee+TLxEb291qe8vAza4UhPK2/oxbb6gXM0ZeeAken/myVZvMD7Zv+xXjr6vPVuQqQeiUzqFKBrkcNYaQedzqE7WQjzNLa2MISfwgiSMk5e477sG9d012pllN+pJMepPuu0vxSvpMfXb7LRPx4OT62E/mxp4mCIkQJIIQi/sINBYZzMcx3WcBR7KXgHhzjRv3R1w8pqG3lxzb+ToBCkIWgtCA7vlIOi2GQaV9/W9FO87fnYLQ5eMW4NftB9TZrnp/Ik7pGWV15kWHj0MEIXOhIGQmwW8S8B0CjgpCfv4RmPP8U8h4fYEK6eUFi/Hdt6vx1qvz1Ovn5r6GYcPPtQrQ0qtGjop99Fl97CNrL3ypxJD5532T1MeuFIQkuPXlI4ehrk6RvJT4RUs//caq15LZ1pWZH+Kxf96vXrpCEDIG+qNbx2DzcNp31bEa1FQ0nxxAa+RgpbWCUM6PObju5vpjg4lKFrjMJSsR4B/g4OiONZdjZMNT6oN5N05dLz1Zei29Muc1jDr/AscGcEHrlo6MyVExOTLG4j4CclRMvExEbBCBwVJwcJ8VHMleAsuXL4d8hg4dqq6Xve+xHQn4MgEKQhSEfHn/627u7hSE/nTLQmzcUh9nYWXGbUjs3ckqjxkzP8Pr79YHK5VGFISsouIDEtA1gdLSMqxdu04JkHpAiUtymkNBpVsjCG3b9gtuuW6MymTc+Nuxfs3X2J73K0Tg+fDTr+DfgiAgKeUvPud0VXiJ6BCpehhZg1tTU4MJN4/F1l+2qE1cKQjJAA9PuQtffVEfD2fyQ9Nw9XU3WTNNvT/++jR13nLhCkEoPCQAnUxNj/NVlNSgrlofgpAIaNcpa5S7MUdlMv3hf+Pm9L+odVf9Ua7EoBqkBPOWY2SXjr4cc2b9t8FQryvxoP791HT13r8feQw32hkgvEEnTr5oSRBi/CAnw2Z3JEACJEACoCBEQYh/DXREwJ2C0P3/zsT7mZvU2U/667m4d+J5zZKQWEN3P/RhgxT0FISaRcWbJKB7AiIGbdr0q2ZnevpYJfhmuHbdUqU1gpD09+drr8DO7XmI6dwFhw7sV4e4/uZbcHej4zvNjX1t6igU7t2jPnrxf28ieehZTZqJGPSfF57GO2++pj1ztSAkR8BuuX6MKlZ1jIrG0y/OQ/8Bp2vjmysigry1cB7mvTjLfMslglCUyYgOIU2PElUcVQShGn0IQgJgiyLYXXVDqpomXuL6PPrIo7jyZLBxDVCjyrYd2yCBoSMVUdBcftu1UwkmHoge3XqYbzX7bXlM7cHJD+H2W+5o0O7Lr77AbXfdot47U9lbGa+90+B5e1y0JAgxflB7rAjHJAESIAHvJkBByEIQ6t1lD4YlRfLImHfveV3Pzp2C0Fff/Ybxk95WeRgC/JXfrg/HtWNOR6ySXWz/oTLsyD+EjA9+wGdfbYOknx88MA7yjhQKQioG/kECHkegPQShN1+b20AQEWivvv0REvv2t8lv3ssz8eaC+iNmkR2jcMekqRh+zvnoEBGJPXt3Y+e2rcrzudihfJ+a2A+VlRVqzCFXC0Ji+L8euAdfZH2iziEoKBh/uf1ODBo8FL1O7YODivAlsY+WLXkX33/3jSoCwc8P+wv3ukQQilWOi334/jvIzs5G3759cfvtt6tZdsqLq20ydrRBa4+MmceZ8eR0vLH4D/Fu5LmjlKNao9BHOUYWHRWDg4cO4IDCT9LJZ63Kgog/S9/JRFL/JHMXeHdJBh6e8RCGJZ+J1MvS0LvXqejZvSc6d+qCEuVI367fd2H5J8vwVsYbqFECmXeM7Kj20T2uYQyqo0pw8wsuPx9Hjh5R+77hmnGY+Ne/Ia5rnHqvcF8Bkga0HF9PM8pJFWuCEOMHOQmwE7qRLFaZmZlISUlhgGkn8HRlF7JWEhQ8OTmZGcdcCZp9ezQBCkIWglD3qP04NzmMgpBHb2nPNt6dgpCQeviJFXh76Y8tQgsPNWLhi9ej8EAp7n54qdqWglCLyPiQBHRLQI6MZWWtQlHRESQlnYYRI4bbbWtrPYT27y/ANZelqN40MtgpvfvgzffrhRRbg1dVVuK2m65WBZ+W2saf0hsvL1iEBXNfxNJ3FyuiTCLeeO/jJq/8kLNOycZVf7xr7A034e8PTGvSZsG8F/Ha3JfU+4/NfAkpF17apI3cqFSCFj/3zL+x/IN3m31uvtm33wA889J8zJn9DLI++cglglBQ9RGMGVN/NE/GldTYqVekoeKI/gQh1Wvq7TfwzHNP4fiJ42ZMLX43Jwg9NP3BFt8xPzQajXjjf4tU8ch8z/L7zYyFmP5E030gbfooe3Xl0s8tm7u8bk0QMgT7wRDK+EEuXwAbA1imoWdqcxuw2vmx5VrFxcWpaehlzVhIgAQaEqAgREGo4Y7gVbsScLcgpJxmwPsf/4RZ/1mNA4pXkGXpHBOOMwf3wAN3X4BuXSOwp/Aozr/yP2oTCkKWpFgnAd8g0FpBSOjcfduN+CFnvQpq4qQpuLnR0Z2WCJ44fhxvvPZf9UiYiDDm4u/vjzjFK+T8URfh1jsmqenrP1m+BE/860G3CEJmO2RMOa6Wv3O7EqvmjxTv3Xr0RPKwszBpyj8QEhqK1+a/hAX/fdHpglCw0R8FO7Zg4sSJZpMwefJk3HBtOipL/7BHe9jGSls9hMzDS0r4p2Y9gR835mLfgX3m29p3UFAQzjt7JC4ffRkuvfgKyLW5SLDodxQvoeWKwCZHyporJiWz3Q3XjsP4m25tkm6+cftlnyzFY0//G0XFRQ0eDR6UjPcXfdjgnqsvrAlCgeEBCDD6uXp49m+DQOOsY8xkZQNYOz5uvFby7yKDgrfjgnBo3RKgIGQhCPHImG73KQ1zMQERhgr2lyhu9sXw8/fDaad2RscOIS4eld2TAAl4EoG2CELOmGdVVRUKCn5HwZ7d6KAcAerVO1EVgZzRtzP6ELFq5848lJWWIPG0AYhQjrW5o0SGGdAxzIi0tDQlWHghwsPDsXjxYnSOikX1cecLQq6YU4nCLE+JM3XkyGFER0erR8e6KMe/LEUga+MePlyMg4pAVKR8yo6VKvGGOiNWOfIlcYdENLS31NbWYk/BHuQrR/2kdFX6EA8hP+WonzuLNUEouKMSI8q9prhz2h4zlhxBauyNJ3/3WPRHQI7QTp06VTNMPCe5VhoOVkhAI0BByEIQYtp5bV+wQgIkQAIkQAINCLS3INTAGF5oBCR+ULCSdl6KHJFITExU69UnaiEfFs8i0JwglHR6EoI68LiYXlZShAZJbS7igsQRYtEvARHHZb3EM4hrpd91omXtS4CCEAWh9t2BHJ0ESIAESMAjCByu6orSmii7bA0I6694G0bY1ZaN2kYgvlMI/JvxYnFFyvm2Wcq37SHQnCB0xtAkxg+yBx7bkAAJkAAJOEyAghAFIYc3DV8gARIgARLwTAKVSpDm7OyvlWMxe5QECt0xevSFdk/kaHUnyMeeQkHIHkptb2NUPIO6KR5CzRUJKF1HB6Hm0Oj6XnOC0ODhpyMgiOfFdL1wNI4ESIAEPJSAzwtCe/fuxbZt9QEJow1r0bljLSIjO3joctJsEiABEiABErBOIC9vmyIIrdEajB6dYndmTQpCGjbdVCJCDYgONzZrjytSzjc7EG86lUBzgtCgwUkwmnhkzKmgndiZHEmSNPRDhgxBenq6E3tmV84mIDGgJDC++Wits/tnfyTgiQR8XhCyXLSqQx+gtqLA8hbrJEACJEACJOA1BCgIec1SqhPp0iEIoUH1QkFGRoYi9mVD0itPvmcKAmub9xzyLgLeN5vmBKGBAwciKNKgHMP0vvl6+owkbpdl5qqZM2cyVo1OF1XiCc2ePVu1jtnhdLpINKtdCFAQssBeUfg/KIqQxR1WSYAESIAESMC7CGRlreKRMS9Z0u7RIQgM8FOyrzXMfPTMkzNx9pBzvWSWvjWN6upq1YPBPOvAwECEhYWpMYQMwTw2Zuail28JLj1jxgzNnOTkZEi6cxb9ERg1ahRKS0s1w7788kuYTCbtmhUS8FUCFIQsVr5i78sWV6ySAAmQAAmQAAmYCfDImJmEPr4NihDUQxGEpDT2Unh8+pMYefYofRhKK5xCwM/gh6AIHhtzCkwndiICw8SJE9W/g9ItPYScCNfJXU2ZMgWrV6/WeqUgpKFgxccJUBCy2AAUhCxgsEoCJEACJEACFgQoCFnA0EE1PCQAnUxBmiVyBCI3NxexsbF4Zc5CdAhnPEQNjpdUgqMMXjIT75qGeOjJcc2+ffuqcYS8a3beMxsR76ZPn656CU2dOpVxhLxnaTmTNhKgIGQBkIKQBQxWSYAESIAESMCCgEOCUPhg+Pn9IVZYdMOqkwjERATBFNzQY0R+4JEjEMww5iTIOutGAkv7B/LYmM6WheaQAAmQgEcToCBksXwUhCxgsEoCJEACJEACFgQcEYQMprMs3mTVFQRilXTzwUra+SalDig/XN3kNm94PgFDiD/kw0ICJEACJEACziJAQciCJAUhCxiskgAJkAAJeCUBc1BpkykMqamXKh4l4XbNk4KQXZjc1igyzICOYcYm49VW1aGytKbJfd7wfAIBQX4IDGvoFeb5s/K+GcjxMcn6J2no5Sgni34JmL0q9WshLSMB1xOgIGTBmIKQBQxWSYAESIAEvI5AUVExlixZrs1rxIihSEoaoF23VKEg1BId9z8LNvojNrJpavnqE7WQD4v3EWBgaf2vaU5Ojhpk2mzptGnTkJaWZr7kt04IWAYDT0xMhKSkZyEBXyVAQejkytdW7EHVoaW+ug84bxIgARIgAR8gUFpapvzmeok2UwpCGgqPrJzSOVSzW1Jdi2fC5Rel4pILL2M6ZY2Md1UYWFrf69k4DX1qaqoayFjfVvuedfLvpXzMhcKdmQS/fZEABaGTq05ByBe3P+dMAiRAAr5HYO3addi6dQfi4rpgxIjhPDLmwVugW1QwjAZ/SJajMWPGqDNJvfgqXHHpFYrnV5IHz4ymWyNAQcgaGX3ct/Q8CQ8PV8WglJQUfRhHKzQCjYW7yZMnY9y4cdpzVkjAlwhQEDq52hSEfGnbc64kQAIkQAKOEuCRMUeJub59lMmIDiGGBoLQn6+5VY1dIvFLWLyPADON6X9NRRQSbz35OxgXF6d/g33UwilTpmD16tVKLL1USF0yNLKQgC8SoCB0ctUpCPni9uecSYAESIAE7CVwvMaEQ1U9bDb38w9GQNgZNtuxQdsJhIcEoJMpSO1IfqDZ+nMexqZeh9GjRyM6OrrtA7AH3RGgIKS7JaFBJEACJODRBCgInVw+CkIevY9pPAmQAAmQgIsJlNeG4UBlvM1R/AwRCAjpb7MdG7SdgFFJO99NST9vLiXFx2BEvUBkvsdv7yJgCA2AIdjPuybF2ZAACZAACbQbAQpCJ9FTEGq3PciBSYAESIAE3EygsrISRqPRoVEpCDmEy22NLQNLVx2rQU1FndvG5kDuJ2AI8Yd8WDyHgAQvluxjcjSJGcc8Z91oKQn4CgEKQidXmoKQr2x5zpMESIAEfJuABJXetOlXBAUZMXLk2UhIsO31I8QoCOlz38QqHkLBiqeQlIqjNairoSCkz5VyjlUUhJzD0V29zJo1S8nsmKENt2zZMsYV0mjopyJBpjMzM9W1kYxjLCTgSwR8XhBav349VqxYgYiQMgzo/jvi43vY/T/HvrRROFcSIAESIAHvIDB//uvaRBISuivxZi7UrluqUBBqiU77PTMHlhYLyour288QjuwWAnJcTI6NsXgGgenTp6tCg9laZrMyk9DPd15eXoMMY1wj/awNLXEPAQpCJwWh2MhDSOh0kIKQe/YdRyEBEiABEmgnAgsXLkZlZZU6emJiL6SknGeXJRSE7MLk9kbmwNIfLvkIR/aVqMGkR4wYwYw5bl8J5wxYXV2NY8eOaZ0ZDAaEhYVp134GPwRFUBDSgOi8UlBQoIoNZWVliI2Nxbx58+ghpLM1k+N8EydO1KwaOXIkxLOLhQR8hQAFoZOCUPeo/egRXUxByFd2PudJAiRAAj5KID9/lxLP4kdFMAhX0iIPVgSEKLtIUBCyC5PbG0lg6QhDFe6ccDeGnX6mOn5SUhJEFGLxPAJHjhzBxo0bNcMlW9zAgQO1awpCGgqPqYgoVFhYiMTERAq1Ol21CRMmIDc3F+Hh4RCvrpSUFJ1aSrNIwPkEKAhREHL+rmKPJEACJEACXkfAbkEosBMCgnt73fz1PKGg6iN47qkX0SOup2omBSE9r1bLtlEQapkPn5KAqwiIp5B4ccXFxblqCPZLArokQEGIgpAuNyaNIgESIAES0BcBewUh/6Du8Dd215fxXm6NBJb+dMkK7FK8v8SjZPTo0fRE8NA1pyDkoQtHs0mABEjAQwlQEKIg5KFbl2aTAAmQAAm4kwAFIXfSdmysqPBABJX7OfYSW+uSgC1BCMoyB3c06NJ2GmWbQGlpKWbPnq02lODFJpPJ9ktsQQIkQAIuJEBBiIKQC7cXuyYBEiABEtAjgcrKStUso9Fot3kUhOxG5faG4cYAmGoZaNjt4F0woE1BSBkzOIqCkAvQu6XLMWPGQGIKSRkyZIgaZNotA3MQuwmIaCcp6GV9JO4TCwl4OwEKQhSEvH2Pc34kQAIkQAIWBDZt2oK1azeod0aMGIqkpAEWT61XKQhZZ9PeT4Lhj45KNioWzydAQcjz17ClGUiwYsk4Zi4bNtT/W2y+5nf7EhCx7sYbb4SIQlIkK5wIQywk4M0EKAhREPLm/c25kQAJkAAJNCKQkfG+8j+79WmtTaYwpKdf06hF85cUhJrnooe7gdVATLD93l56sJk2NE+AglDzXLzlrqQzz8jIUKfD9Ob6W9XGKehTU1PVrGP6s5QWkYDzCFAQoiDkvN3EnkiABEiABHRPICtrFfLz96h2RkdHYuzYK+2ymYKQXZjapVGQcgJw17at+OnH+rTJDCrdLsvglEEpCDkFo647Wb58uWpfWlqaru30RePEQ2jcuHGaF5eko5cPCwl4MwEKQhSEvHl/c24kQAIkQAKNCBQW7oMcG5Mix8ViY7s2atH8JQWh5rm0910JJW04UYtVn67A0eKDqjlMO9/eq9L68SkItZ4d3yQBZxDIzs6GiHZyvI+inTOIsg+9E6AgREFI73uU9pEACZAACeiAAAUhHSxCMyYE1PrBv6IG36zOxoGC3WoLCkLNgPKQWxSEPGShaCYJkAAJeAkBCkIUhLxkK3MaJEACJPD/7J0JnFVl/f+/d58VBkaUQYpJFBQlETDFJShNLUErKwXrh23SL1sMbfm3/MT2RWjTSsyUStCSUqBU0oRKcQNRNBS1QJEBZBCZYZmZO3P/z+eB53DunXPuPefOvXfu8nl8Xc/2bOf9nDvM+cx3IYF8EvAqCIWqR0ogPCSfU2HfNgKR7oCEukVe3fyKPPHwP3Qaa7qM2QCV2C4FoRJbsD5OFzFr8IE1CjNa9REmm5MACWRFgIIQBaGsHhw2IgESIAESqCwCngWh2jESCA6oLDj9eLexLpFAAo5jIoNqIv04Ew6dCwIUhHJBsTT6gGvS1VdfrSdbX18vt912mwwbNqw0Js9ZkgAJlA0BCkIUhMrmYeaNkAAJkAAJeCPQ2dmpMo21S2PjYG8NVC0KQp5RFbRiVecBMQiD1leFJRw8dFzQiXCwnBCgIJQTjCXRyfz58wUfU2bPnq0DGptjbvuXAFLPQ7CDBRcCTWN9WEigHAlUvCD06quvygsvvCD1weelLvSiNDQ0qM/Aclxr3hMJkAAJkAAJqAxjm2T58hWaxLBhR8jUqed5okJByBOmglYKJkSiXYcEoJpoSGLhYEHnwMFyS4CCUG55FnNvGzZsSBKAbrzxRpkwYUIxT7mi5pYq2C1cuJBufRX1BFTOzVa8IGSWOr77Uelue9wccksCJEACJEACZUnAnnYeNzh9+kUq7kxdxnulIJQRUcErhFX8oLCKH2RKVTgk1VEKQoZHKW4pCJXiqmU/Z7iNQRiCEEQxKHuO+WgJAWjevHlW19dccw2zjlk0uFNOBCgIHVxNCkLl9FjzXkiABEiABNwIrFr1qEo7/5y+HI1G5LLLZrhVTTpPQSgJR1EcROIiyDKG0rJli7y8aaO8vn2LDlDb1NRUFHPkJPwRiMfj0t7ebjWKRCJSW1trHWOnanA46ZgHJEACuScAlzG4irW0tMj48eNl7ty5Omh/7kdijyTQvwQoCB3kT0Gofx9Ejk4CJEACJFAYAogftHr1kzqG0KhRR0tz8whPA1MQ8oSpoJVinSqgtPqvu7tb1q5dq8f+z/qntVsDshaxlCcBCkLlua68q+IkAGEIQb9ZSKBcCVAQOriyFITK9RHnfZEACZAACeSCAAWhXFDMXR+wC4odDChtF4Q2//cFGX3M0TJp0qTcDcaeiooABaGiWo6cTmbNmjUydOhQZhvLKVV2RgIkkI4ABaGDdCgIpXtMeI0ESIAESKDSCXgWhKqaJRAZWum48n7/cBWDy5gp27dtk+3bt0vbrlY587RT+RdtA6YMtxSEym9RYYUya9YsHU8I1igIMD1q1Kjyu1HeEQmQQNERoCB0cEkoCBXds8kJkQAJkAAJFBEBr4JQMDZcgtHhRTTz8pxKRAWUDtkCSpu7ZGBpQ6J8txSEym9tkdocgpApU6dOlTlz5phDbouAwLJly/QssDYsJFBOBCgIHVxNCkLl9FjzXkiABEiABNIRQByh1tad0tTk3ZKHglA6ooW/FutS8YMSh1LOmxlEggGpq2LQYcOjHLcUhMpvVbeooPAIYGwCilMQKq41xtogGxzK5Zdfrj/FNUPOhgSyJ0BB6CA7CkLZP0RsSQIkQAIkUDoEIAQtXrxUTzgWi8rMmdM9TZ6CkCdMBalkjx+UOiCuNdREUk/zuIwIUBAqo8W03crSpUsFn2HDhslVV11Ft08bm/7enThxojUFrM+SJUusY+6QQKkToCB0cAUpCJX6o8z5kwAJkAAJeCGADGOrVz9tVZ027VxPlkIUhCxk/b4TTIhEu3pbB5mJDayOiDIUYilTAhSEynRheVtFSwBWQQj4jTJ58mSdgr5oJ8uJkYBPAhSEDgKjIOTzyWF1EiABEiCBkiSwceMmWb58hTX36dMvUn+JrrOO3XYoCLmRKfz5sIofFE6JH7T5lVdkmwoqHYtG5ag3HylHNh1R+IlxxIIQoCBUEMwchAQsAnAXW7hwobbemj59Oq23LDLcKQcCFIQOriIFoXJ4nHkPJEACJEACXgisW/estLRslebmN6tMNsd4aSIUhDxhKkilqIofFEyJH4SgtKbUVUXl1JPHm0Nuy4wABaEyW1DeDgmQAAn0IwEKQgfhUxDqx6eQQ5MACZAACRQ9AQpCxbNEVZ29/cHWrl0r3d0HzIYG1tXIySe9tXgmzJnklAAFoZziLMrOFi1aJPg0NTXJddddR4uUolwlTooEyoMABaGD60hBqDweaN4FCZAACZBAfghQEMoPV7+9QgqKOQhC27dtk+3KZay6pka5izVJ02ED/XbN+iVCgIJQiSxUltOEexKyWpnCrFaGBLckQAL5IEBB6CBVCkL5eLzYJwmQAAmQQLkQ8CoIBSJDJFQ1slxuu+juI9QTkEg887QGMdNYZkglWCMQVIJgQ7gEZ84peyWQKgiNHz9e5s+f77U56+WRwJYtW+Smm24SbBFLaMqUKXkcjV2TQGEIUBA6yJmCUGEeOI5CAiRAAiTQ/wQ6OzsF6ecbGwdLVAUh9lI8C0LhARKqHuOlS9bJggDEIIhCmUp9VVjCTDWWCVPJXQ+EAxIbECq5eXPC/ggg7fzKlSulrq5OZ7SaMGGCvw5YOy8E5syZI8uWLdN919fXy4MPPpiXcdgpCRSSQMULQuvXr5fHHntMDqvZJENqX5Ujjjhchg5lZo5CPoQciwRIgARIoHAEIAbdeusia8BcZxkLUBCy2OZjJ9YpElD/ZSo10ZDEwsqchKWsCFAQKqvlTHszsBRCDCEIDyzFQcAIdWY2yDw2atQoc8gtCZQkgYoXhCAG3XPPPTKgul2OH/6KjBjxJpV1ZURJLiYnTQIkQAIkQAKZCCC72NKl91nVJkx4q0yYcJJ17LZDCyE3MoU77xY/yMwAQaVDoQPWI1XhkFRHKQgZNqWyjcfjsmfPHmu64XBYamtrrWMKQhYK7pBAwQkgm+OsWbP0uHTlKzh+DpgnAhSEKAjl6dFityRAAiRAAsVIoK2tXWWvWWxN7Zxzpnj6QwgFIQtZv+2kix/UomJabGlpkbAShEY0N8uQwYOkTrmNsZQWgV27dslTTz1lTbqxsVFOOOEE65iCkIWCOyTQLwQQP6hF/aylG1+/4OegeSBAQYiCUB4eK3ZJAiRAAiRQzAQ2bHhBBcXcKsOGDVXm7sd4mqpnQSgQllDdRE99spI/AuniBz2l0s7HD6adb2hokJEjRwoDS/vjWwy1MwlC4eqg4MNSOQTgOrZixQotQFCEqJx1552SQKEIUBCiIFSoZ43jkAAJkAAJlDABr4IQbjFcf2oJ32nxTj1d/KBn1q2TDhUfCgVWJc3KSmhgdUQYV7p419NpZhSEnKhU7rnUjGNLlixRQv6wygXCOycBEsg5AQpCFIRy/lCxQxIgARIggfIjQEGof9c0U/wgCAlwG4vGYjJMBaKtrqkRZhrr3zXLZnQKQtlQK982CFo8b9486wYvv/xywYelOAjAfYwCXXGsBWeRPQEKQhSEsn962JIESIAESKBiCPgRhEJ1J0kgEKsYNoW40XTxg9zGr46EpCpC9yI3PsV4noJQMa5K/80JgsOMGTOkvb1dT+Kaa66RadOm9d+EOLImgODS1157rXK93qLXA+vCQgKlSoCC0EFBKBzslpNHbmCWsVJ9kjlvEiABEiABzwSQen7jxk3ataixcbCndr4EodoxEggO8NQvK3kjEOkOSKjbW11TKxoKSm3sQNYxc47b4iaQSRCK1ockGIG9GEulEID4gBhCU6ZMYSDjIll0pp8vkoXgNHJCgILQQUEINCcds56CUE4eK3ZCAiRAAiRQzAQWLbpT2toOpLaeMuU0T4GlKQj174rGukQCCX9CQFgFEILbGEvpEKAgVDprxZlWLoH58+cLPqYwtpMhwW0pEqAgREGoFJ9bzpkESIAESCBLAq2tO2Xx4qVW6+bm4XLOOWdZx247fgShYGy4BKPD3brieZ8EMsUPMt11dnRIKKyyvKnU86Yw05ghURrbTIJQ1SAl8PnTBUvjxjlLEighAm1tbTJr1iztMgaXPsZ1KqHF41R7EaAgREGo10PBEyRAAiRAAuVNwG4hNGnSRBk79viMNxxPRGRLh7cU9RSEMuL0VSGUEIl0pVcBNr/yimzbvl33iwxjyDSGMkBZCIWYakyzKIX/ZRSEBtPiqxTWkXMkARIggVIhQEHIJgid1PyCjD66SaVqHVEq68d5kgAJkAAJkIBvArASQgyh+vo6/W9eNBr11MfL+8d4qheIDJZQ1ShPdVkpMwEv8YOeWrtW4t0HggzV19XJqNGjdcd1sbBEQunFpMwzYI1CEUgnCAXUOsYGHrL+KtScOE5xEEAK+jlz5khLS4vMnj2bwaWLY1k4CxIoeQIUhGyC0PHDN8rYYw+jIFTyjzVvgARIgARIIB8EPAtC4QESqvYmHuVjnuXWZ1TFDwpmiB/0zLp10qGChaPAOqhZWQmhMNOYxlAy/0srCIWVIDSAglDJLGaOJwq3pDVr1uhe6+vr5cEHH8zxCOyOBEigEglQEKIgVInPPe+ZBEiABEggCwKeBaFglYRqx2UxAps4EajqzGzhAyGhtbVVxw864vDDpbqmRnfFTGNORIv3XDpBKBQLSKSWglDxrl5+Z5aa2YqBjPPL22vvyAIHq63Jkycrq9t6r81YjwSKhgAFIZsgNHrYy3LSmMG0ECqax5MTIQESIAESKCYCXgUhzDlcf2oxTb1k5xJU8YOiGeIHpbs5ZhpLR6f4rqUThMLVQcGHpTIJQHhAIGOU6dOnCwQilv4lMHfuXFm0aJGexNSpU7VLX//OiKOTgH8CFS8IrV+/Xh599FFNbkjNJjlhZFyGDj3CP0m2IAESIAESIIESIrBhwwsSi8VkxIg3e561L0GobqLKhsQAuJ7hulQM9SirkLjLRY+nmWnMI6giqJZOEIrWhyQYyWwtVgS3wSnkiQCyW6HQEiVPgH12iwxjiO1kyhNPPGF2uSWBkiFQ8YKQfaXiux+V7rbH7ae4TwIkQAIkQAJlR2D58gdUUOnN+r7Gjj1WJk06xdM9+hGEQrVjJBAc4KlfVnInEO4OSPhArGj3ShmuMNNYBkBFdDmdIFTFDGNFtFKcCgmItghatmyZRtHU1CRLly4lFhIoOQIUhGxL1r1nvcR3PWA7w10SIAESIAESKD8C8+cvsG6qsbFBLrroQus43Q4FoXR08nPNS4YxM3JnR4fejSrLL3thpjE7jeLej8fj0t7ebk0yEolIbW2tMMOYhYQ7JFA0BGCxNX/+fMEWQb+HDRtWNHPjREjAKwEKQjZSPR2bpWvHXbYz3CUBEiABEiCB8iNgtxAaNeoomTLlTE836UsQqmqWQGSop35ZyZ2AlwxjaL35lVdk2/btuqM3DR8uhx9xyP2dmcbc+ZbKFQaULpWVKsw8IUCsXLlSxo8fTxGiMMg5CgmULQEKQralpSBkg8FdEiABEiCBsiXQ1tauXMY2qRhCUZ1IIRqNerpXP4JQMDZcgtHhnvplJXcCXgWhp9aulXj3Ad+y+ro6GTV6tNUpM41ZKEp2J1wTknAV4weV7ALmcOKIWYPg0hCFEEsI2cYYUyiHgNkVCVQYAQpCKQve8er1KWd4SAIkQAIkQAIkAAJ+BKFAZIiEqkYSXB8JeEk5jyHW//vfsnffPj1aY2OjEvqa9T7+FwkGpK6KAb4tICW4UzVIrR/1oBJcudxPGS5K+Jgye/ZsQXBjFhIgARLIhgAFoRRqHS3qB2xPZ8pZHpIACZAACZAACfgShMIDJFQ9htD6SMCrILRv717LZeyIww+X6pqapJGZaSwJR0kd0F2spJYr75O1p5/HYNddd51y+52S93E5gDuBLVu2yO233y6jRo0SpJ9nIYFSIkBBKGW1unb8SXo6tqSc5SEJkAAJkAAJkIAvQShUK6GasYTWBwLBhEi0KzdmIQOrI6IMhVhKkEBsYEgHlS7BqXPKeSKAbFb4TJs2TX/yNAy79UAArnvveMc7rJrXXHMN18SiwZ1SIEBBKGWVunYuk559G1PO8pAESIAESIAEyovApk0vqxgU7TJixJtV/Ik6TzfnRxBCh+H6Uz31y0rOBHIpCNUrl7EwFSFn0EV8ltnFinhxODUSUARSLbYQ6Nvu0kdIJFDsBCgIpaxQfPej0t32eMpZHpIACZAACZBA+RBYtepRWbfuOX1D+Uo7j84pCPXtmQn1BCQS71sfpjUzjRkSpbWN1IYELmMsJEACxUsAllotLS16gozpVLzrxJk5E6AglMKle896ie96IOUsD0mABEiABEigfAgsXXqP+uX1QIpy3NXll8/0dHN+LYRCdWMlEKj11Dcr9SYQ7g5I+EDisN4XHc4gjlAoFJJoLNbralU4JNXRYK/zPFHEBJQOVNXAYNJFvEKcGgloAoghtGLFChmtsjtOmDCBVEigpAhQEEpZLqaeTwHCQxIgARIggbIjsHr1k8rM/Wl9X/m0EArVjpFAcEDZ8SvUDfkRhDZu3Citra16asOamqRp2LCkaTLTWBKOkjiI1CnroCitg0pisfppkhAhFi1apINKT58+vZ9mwWFJgARKmQAFodTV6+mQjpabUs/ymARIgARIgATKisCGDS9IR0en+ovmMRKNRj3dW0vHSOlK9LY+cWscqh4pgfAQt8s8n4EA3MXgNualPLV2rcS7D5gTxdR6njA2OaA3emmoiXjpinWKgEC4SlmH1YSKYCacQrES2LBhQ1K6+RtvvJHWKcW6WJwXCRQxAQpCDovT8er1Dmd5igRIgARIgAQqm8C2zmbp6ElOZ56OSDA2XILR4emq8FoaAtEukWDCmyD00ksvya5du3RvDQ0NMnLkyF49M/V8LyRFeUIHkh6gxCBvS1+U98BJ5Z8Asoxde+211kCXX365cv+93DrmDgmQAAl4IUBByIESU887QOEpEiABEiCBiifgWxCKDpVgrLniuWULwI8g1NnRIdu3H4gLdfjhhzvGEWKmsWxXorDtmGa+sLxLdTSkO0cw4/b2dn0LtBDq35VEHKGbbrpJZe9sE7jvMZZQ/64HR/dOgIKQAysKQg5QeIoESIAESKDiCfgVhALhARKqHlPx3LIFEOuEkUjuzETqYmGJhHLXX7b3xXbuBOAmBncxFhLwQgAiBNKeQ3wYlhI3zEt71skdgauuukpWrlypO8RaLFmyJHedsycSyCOBiheE1q9fL4899piF+MQTT5QTjupg6nmLCHdIgARIgATKkcCmTS/Ljh2t0tw8QhobB3u6Rd+CUCAsobqJnvpmpd4EqjpzKwww9XxvxsV0BgGkEUiahQRIoPQIwF1vzZo11sSfeOIJa587JFDMBCpeEIIYdM8991hrNHnyZDlz4kCJv/GQdY47JEACJEACJFBOBBBQesWKh/UtxWJRmTnTW3Yav4IQBgjVnaRSz3sPRF1OnPt6L7kWhGLhoNREKTj0dV3y0T4QFIkNDMv+jv2ybds2a4jq6mqBCyALCZBAcROwx3SaOnWqzJkzp7gnzNmRwEECFS8IrVVZOe6++27rgYAg9PZJR0vXjrusc9whARIgARIggXIiYE87j/uaNu1caWoamvEWsxKEmHo+I1e3Cn4FoX179+quqmucA38z9bwb6f4/b+IGbdy4URYsWGBN6Pjjj5cPfOAD1jF3SIAEipcAXPgQ02nUqFHFO0nOjARSCFS8IPTMM8/I4sWLLSwQhKZMmSLMNGYh4Q4JkAAJkECZEdi4cZMsX75C31U0GpHLLpvh6Q6zEYSYacwT2l6VggmRaJd3lzEICa2trbqfxsZG5QrY3KtP9MbU872w9PsJe9ygVEEIsWFgbcBCAm4EEMR43rx5yupzhQ4yPXv2bLeqPE8CJEACvQhUvCD04osvym233WaBMYJQ5/ZFkug68IuVdZE7JEACJEACJFAmBFpbd8qWLS06hlB9fZ2nu3q9a6i0dXuLN2Q6DEQGS6iKfy01PLxu/QpCTymL53h3t+4+HArJiePGOQ7F1POOWPrtZCAckBhSzB8sqYLQ6aefLmeffba5zC0J9CIwf/58wceUhQsX0kLFwOCWBEggI4GKF4Q2b94sN998swXKCEJdO++Xnn3PWee5QwIkQAIkQAKVTuCN+BDBx08JhGolVDPWTxPWVQT8CkIvvfSS7Nq1S7NraGiQkSNHOnJk6nlHLP12MlofkmDkkCVYqiBkfi/ttwly4KInAAEIFkKmMP28IcEtCZCAFwIVLwht3bpV8IPTlBEjRijT+cuku/1JBpY2ULglARIgARIgAUUgG0EI4ML1p5KfTwJ+BaHOjg7Zvn27HgVBiKMx50DeFIR8LkQeq6daB2EouP2Y1NU4Puuss+SMM87ALgsJOBKAy9iMGTOkpaVFxo8fn2Qt5NiAJ/NGADGErr32WtmwYYNMnz5dkHmMhQSKnUDFC0I7duyQG264wVonIwj1dGxmYGmLCndIgARIgARIIHtBKMTA0r4fH7+CkNcBmHreK6n810u1DsKIqYLQ+eefLxMnTsz/ZDhCyROAMFRfX1/y91HKN4DMYsuWLbNuYcmSJTJs2DDrmDskUIwEKl4QQiT4uXPnWmtjBCGcYGBpCwt3SIAESIAEyozApk0vy44drXLYYY0yYsSbPd1dthZCoeqREgj7czXzNKEyrhTqCUgknvsbpCCUe6bZ9OhkHYR+UgWhiy66SE444YRshmAbEiCBAhNIFYQYz6nAC8DhsiJQ8YJQPB6X73znOxa8oUOHyqxZs/Rxx9YFIt1t1jXukAAJkAAJkEA5EEBA6cWLl1q3ctFF06SxMXOw6Pb4QNkZP9Jq53UnGB0qwViz1+qspwiEuwPqk3sU0VBQamOHghjnfgT26IVApDYkodih2EGmTaogdOmll8rRRx9tLnNLAiRQxATgKnbVVVdp9z1kB4RAxEICxU6g4gUhLNC3v/1t6T6YmQPH11xzDTbStXOZCiy9Ue/zfyRAAiRAAiRQLgTWrXtWVq16wrqdSZMmytixx1vHbjv7e2ple+cIt8uu5wPhARKqHuN6nRd6E8hGEHrjYFDpgSqotFuJBANSVxV2u8zzBSJQNUitQW89SG699VbZtGmTNYuZM2eqTIDN1jF3SCAdAcSwgdsYXcfSUcr/Nbrv5Z8xR8gdAQpCiuVPfvITeeONNyyqRhCK735UGQg9bp3nDgmQAAmQAAmUA4G2tnZZtGixdSvTp1+kXiAyp57PWhAKhCVUxzgoFnAPO34Foc2vvCLbDgaVbmxsdBURoEE01EQ8zIBV8kUgEFKp5gc6W2mlCkJXXHGFcus8LF9TYb9lRMCefv66666TKVOmlNHd8VZIgATyRYCCkCKb+o+v+WsMA0vn67FjvyRAAiRAAv1NAKIQstI0NTV5EoMw32wFIbQN1Z0kgYBz5itcZ0km4FcQWv/vf8vefft0J+FQSE4cNy65Q9vRIApCNhqF3w1XKXfAGmdBCBmKTAkEAvKNb3xDfW8g47GQQHoC9uDjzDaWnhWvkgAJHCJAQUixQDT41atXW1SMICQ9HdLRcpN1njskQAIkQAIkUMkE4omIbOk4JisEzDTmD5tfQWjjxo3S2tqqB2lQLmMjR450HXCAchkLKdcxlv4hEKlT8YOizvztghAsvT7zmc/0zyQ5askRmDZtmhb5MfHJkycnJc0puZvhhEmABApGgIKQQv3II4/IfffdZ0E/99xz5dRTT9XHndsXSaLrwC9YVgXukAAJkAAJkECFEnh5f3axgIKx4RKMDq9Qav5v268g1NnRIbsOxhCCIBSNuVtj1StBKExByP+i5KhF1WDnGE4Q9RYsWGCNMnr0aLnkkkusY+6QQDoCCEiOzMmw+rz66qtl1KhR6arzWp4IILA0gknDAnf69Oly+eWX52kkdksCuSFAQUhx3Llzp+DLiwxj+FRVVVl047v+Id17nraOuUMCJEACJEAClUwgW0EoEBksoSq+oHh9doIJkWiXsxWJ1z7c6tVEwxIL56dvtzF5/gABt3TzuJoqCJ1yyily3nnnER0JkEAJEYAYBO8TUx588EEG+TYwuC1KAhSEMiwL4whlAMTLJEACJEACJUmgpWWr+mPIizrd/KhRR0s0GvV0H5v3Hys9EvRU114pEKqVUM1Y+ynupyGQT0GoOhKSqoj/NUwzXV7ySCBcHRR8nAoEIVh5wNILyU7OP/98sceFcWrDcyRAAsVFIFUQWrJkiQwbNqy4JsnZkICNAAUhGwy33Y5Xr3e7xPMkQAIkQAIkUHIEOjs7VUKFRda8p0w5TbkXeIsNtK2zWTp6aqy2fnbC9Qfcsf20qdS6FITKc+URTBpBpb2U/fv3J1mte2nDOiRAAv1LAHFpIQoh9fyMGTPoMta/y8HRPRCgIOQBUtfOZdKzb6OHmqxCAiRAAiRAAsVPoLV1pyxevNSa6Nixx8qkSadYx+l2+iIIherGqoxJtem657WDBLIRhN5QliXx7m5BDKGQyjTmVqKhoNTG3K+7teP5vhOI1ockGPEmCPV9NPZQiQS2bNki7e3tjCFUiYvPeyaBLAhQEPIArbv9SYm/8ZCHmqxCAiRAAiRAAqVBYNGiO9VfMPfoyZ5zzhRpbh7haeJvxIcIPtmUUPVICYSza5vNeKXcBpJBrNO7cLD5lVdk2/bt+pYzZRmLqIDSdSqwNEvhCVAQKjzzShpx4cKFMm/ePH3LU6dO1ZYqlXT/vFcSIAH/BCgIeWDW0/WadG2/w0NNViEBEiABEiCB0iGAOEJ1dXUq4GWd50m3xRvl9fgRnuvbKzLTmJ1G5v0qH4LQhueflzZlFWDKhAkTzG6vLTKMIdMYS+EJxAaGJBDyLvQVfoYcsZQJIKPVmjVrrFt44oknrH3ukAAJkIATAQpCTlQcznVsXSDS3eZwhadIgARIgARIoHII7O+ple2d3qyJUqkEwgMkVJ1d2vrUvirh2I8g5MdCCOwG1UQqAWHR3aNbyvmimygnVJIEELvGZLhC+vmlSw+5BpfkDXHSJEACeSdAQcgj4q6d96s4Qs95rM1qJEACJEACJFCeBHokJJv3j87q5gKBsITqJmbVthIbRbtEgglv1iTdKnYQslN1x+M6hlA0FkuLjIJQWjx5u0hBKG9o2bEigPhB8+fPtwIap7MUJLD8EcAaLFp0IHHDNddcI1OmTMnfYOyZBPpIgIKQR4Dde9ZLfNcDHmuzGgmQAAmQAAmUL4FsU8+DSBiCkBKGWDIT8CMIZe4tuQYFoWQeBTlS2l7VID44cwi7AABAAElEQVT7BWHNQUigHwm84x3v0KIcpjB+/Hgt0vXjdDg0CaQlQEEoLR7bxZ4O6Wi5yXaCuyRAAiRAAiRQugQQP2jDhhclGo3IhAknqW3U8830KdNY7RgJBAd4HquSK4a7AxLuzg8BxBBCLCGWwhEIhAMSG8DsboUjzpFIoH8ITJs2TVpaWvTgFIT6Zw04qncCFIS8sxKmn/cBi1VJgARIgASKmoA9y9ioUUcpk/YzPc+3L5nGGFjaM2aBXOMn05j3nkUHlaYg5IdY3+tSEOo7Q/ZAAqVAALGb4DZWX18vV111lfqji3uQ/1K4H86xvAlQEPKxvj37XlKi0D0+WrAqCZAACZAACRQngfnzF1gTa2o6XKZNe7d1nGmnPT5QdsaPzFTN8ToFIUcsridjncrDTktDrlX0BSuGkIol1DBwoGSKIUQLofQ883GVglA+qLJPJwKrV6+WdpV1cPLkyU6XeY4ESIAELAIUhCwU3nY6WuaL9KjfzlhIgARIgARIoIQJLF/+gGzcuFnfwaRJE2Xs2OM9301XokpaOo7yXN9eMRAZIqGqkfZT3E9DIBIXCfVkdu2yZxmrqa6W48akz+ZWFwtLhOnP05DP/aVwdVDwYSGBfBKwZxqbOnWq4JiFBEiABNwIUBByI+NyntnGXMDwNAmQAAmQQMkRaG3dqWMH1dfX+Z77y/vTCw5uHTL1vBsZ5/MQgyAKZSobnn9e2pRFgCmZXBSqIyGpilCcMLwKsaUgVAjKHMMe0BguSw8++CChkAAJkIArAQpCrmhEp299Xv2Cdcopp1i1erpek67td1jH3CEBEiABEiCBSiTQ0jFSuhLpU5s7caEg5ETF/ZzXOEJ2C6GGhgYZOTK9FRYFIXfm+boSrglJuCqztVe+xme/lUHAbiHEgMb9u+YbNmyQUaNG9e8kODoJZCBAQcgB0Lp16+Thhx+WrVu36qszZ86U5uZmq2bH1gUi3W3WMXdIgARIgARIoNIIZBtYmoKQ/ycl1qXiCCUyCwm7du0SxBKCIBQKpc9mRUHI/zr0tUW0PiTBSOZ17Os4bF/ZBLZs2SKLFi3SEKZPny7Dhg2rbCD9cPdYg0996lOCLfgvWbKkH2bBIUnAGwEKQg6cHnnkEbnvvvusKyeeeKK8973vtY6725+U+BsPWcfcIQESIAESIIFKI5BtHCEKQv6fFK9uY356piDkh1YO6iodqGpQOKmj5557Tv++eeyxxwp+1xw6dGjSdR6QAAmUJoGFCxfKvHnzrMnfeOONzDRm0eBOsRGgIOSwInv27JHrrrvOulJVVSWf//znBVuURHy3dG77rXWdOyRAAiRAAiRQagQQP+iZZ/6tp33CCWOksXGw71vYvP9Y6RH/cWjC9af6HqvSG3jNNuaVEwUhr6RyUy8UVbGg6pKttm6//XZBaAJTPvjBD8qYDMHATV1uSYAEipcA0s5fe+211gQhENF1zMLBnSIjQEHIZUFuvfVW2bRpk3X1wgsvlHHjxlnHXTv+JD0dW6xj7pAACZAACZBAKRGwZxlrbGyQiy660Pf0W7uGyZ7uBt/tKAj5RqYzjXkJLu21ZwpCXknlpl6kNiSh2CF3Mbj3/fSnP7U6j0Qi8sUvflGwZSEBEih9AnPnztWC78SJE+Xyyy8v/RviHZQtAQpCLku7du1aufvuu62riCGEWEKm9HRslq4dd5lDbkmABEiABEigpAgsWnSntLXt0XOORiNy2WUzfM+/PT5QdsaP9N2OgpBvZLpBOishxA6yYggNHCjRWPqA3xSEsluDbFtpd7FDepCsWLFCVq5caXWXGp7AusAdEsiCAGLX4PlCtkFapmQBkE1IoIIIUBByWezOzk6BsoutKXAbQ6BGU2glZEhwSwIkQAIkUGoE1q17VlatekJPe+zYY2XSpEMZNb3eS4+EZPP+0V6rW/UoCFkofO2kiyVkzzJWU10tx2VwPaIg5At9nyoHwgGJDUh2F4N1EAQ8Uy699FI5+uijzSG3JJA1gba2NkHqeVPormRIcEsCJOBEgIKQE5WD5+6880559tlnrRqTJ0+WKVOmWMe0ErJQcIcESIAESKAECbS1tetZ19fXZT37bNLPh+pOkkAgvQVL1hMq84ZwG4MwlFo2qFg0be0H1hPXYBmQrlAQSkcnt9dSs4tt3LhRFixYYA1SU1MjV111lQSD/uNxWZ1whwQOEli9erXMmjXL4gF3JbosWTi4QwIkkEKAglAKEPshsj/ccccd1ikElf7yl79sHWOHVkJJOHhAAiRAAiRQYQRe7xoqbd3+AlKHasdIIDigwkjl5nYhBUUd0tBv37ZNXtm8WQ9CC6HcsM5FL07WQXfddZc89dRTVvennHKKnHfeedYxd0igLwRSLYSQKMf+B+2+9M22/ghs2LCBLnv+kLF2PxCgIJQB+vXXXy+tra1WrdTg0rQSstBwhwRIgARIoAIJZJN+noJQ3x4ULQopj/aA+s9erBhCyr09FEp2UbLXwz4thFKJ5Oc41TooNZg0rIKuuOIKGTzYn6ian9my13IhACECcaoQP4hiUP+s6owZMwTrUF9fL0g7z1hO/bMOHDUzAQpCGRilBpdGDCHEErIXWgnZaXCfBEiABEig0ghs6ThG4gnv2ZEoCPX9CUkXT8hL7xSEvFDqWx0v1kEMJt03xmxNAsVIAEIQBCFTpk6dKnPmzDGH3JJAURGgIJRhOXp6euQnP/mJysTSZtWklZCFgjskQAIkQAIlSgDxg9asWav+fWtXf7kcqT7HZH0nft3GKAhljTqpIVzHgolkK6GkCmkOKAilgZOLS2pZEEg6EDq0PqnWQRjms5/9LK2DcsGbfZBAERFIddubPXt2kkBURFPlVEhAKAh5eAgeeeQRue+++6yaQ4cOTQrWhgtdO5dJz76NVh3ukAAJkAAJkEAxE1i16lFZt+45PcVYLCozZ07Perp+3cYoCGWNOqlhX6yE6mJhidjEiqSOedBnApHakIRih8QgdHjvvffKo48+avU9evRoueSSS6xj7pCAEwGIC9dee63lAgbLE1ic5KogRf3tt98uS5cu1V1CvJg2bVquui+LfrAGV199tSBgN1y/vKwBeOKD7zmCesN1zK1gDW666Sa9xqjDNXAjxfP5IEBByAPVeDyuU9Dv37/fqj1z5kxpbm62jhPx3dL52u0iPYfS1FsXuUMCJEACJEACRUZgxYp/qvgG/7FmNX36ReoX1uyzjflxG6MgZGHv0w7khljnAdGhu7tbxzzs7OiQxsZGqVaZq9KV+qqwhIPJgkW6+rzmnUC4KiDhmuQYTvgdEqnm7b9LfvzjH5fhw4d775g1K5IAXI2WLVuWdO8QF6ZPn64/TkIDBIaVK1fKsGHDBFmSnQrEDfRrhCB7HcS8yZSp0F6/3Ped1gBsIcxhHZzWwAsTrMGiRYssIcjeZsmSJXr97Oe4TwL5IEBByCNVBGbDD1aUESNG6GwQsBSyl/juR6W77XH7Ke6TAAmQAAmQQFESaGnZqqxf/y6dnV3qDxzD5ZxzzurTPP24jVEQ6hPqpMaxg8Gl7VnGYtGonDB2bFK91AMKQqlEcnPsFDcIPdt/j8Qxfpe87LLLsMtCAmkJwLpkzZo1rnVgzfPJT34ySTwwAY3RKNVdCQIQhCCIEW6FqeqTyaRbA4hBCNydugbJPSQfYQ0gBCHWkFthdjg3MjyfawIUhDwSxV90/vznP8ukSZOSLINSm3dsXSBKFUo9zWMSIAESIAESKEoCiCHUF8sgc1N+3MYoCBlqfd8at7GXXnpJEKPGlHHjxqXNNNZQE0nJUWZacpstAcQLQtwgJ7C/+tWvZNu2bVbXqZbm1gXukEAKgfnz5ws+mQoseiBcYDtx4kSr+vjx47WnA0QgiBCwHspUaJ2STMjrGkAYgsWQk3UV3M7AH+vANUjmy6P+JUBBKMf8mYY+x0DZHQmQAAmQQMkQ8Oo2RkEod0sKp6+oshLa2bpTNm7cqDuuqa6W48aMcR0EbSAIseSOQDoxyIyCzLWII3TYYYfJJz7xCXOaWxJISwBCAix+Wlpa0tYzF+HKhKQ4W7du1acgCL3wwgtJCXJMXactBI2rrrrK6VLFnsMawBKrvb3dEwMTZwjuelg34xaGfrwUWmh5ocQ6uSJAQShXJG39MMC0DQZ3SYAESIAEKoaAV7cxCkK5fSQi3QEJdYvs27tXOjo7paGhIe0AERU7qE7FEGLJDQEEj0YQaS8FFud71ToNHjzYS3XWIQFNAC6HCGqc71JXV6djCmUbEyff8+vP/uHmheDe+S5NTU2OcZ3yPS77r1wCFITysPYMMJ0HqOySBEiABEig6AnEExGBlVCmQkEoEyF/12HxY4JLe2kZCwelJupNwPDSXyXXQfBoBJFmIYF8E4DVjolnmq+xGLcmPdl0sYTSt/R+lQG9vbNizdwQoCCUG469euluf1LibzzU6zxPkAAJkAAJkEAxEOhUliSrVj0mO3a0qmCkQ1WMvFNyMq2WjpHSlYil7YuCUFo8WV00VkJeGtdEwxILU8TwwsqtDlzEIjVBCUbI0Y0Rz+eWAOLOwHXMq9uS39HhWuYlVpHffsupPtbgggsuyNstwcVs7ty5eeufHZOAEwEKQk5UcnSOrmM5AsluSIAESIAEck5gw4YXVOajh61+L7pomkpX3nc3lrZ4o7weP8Lq12mHgpATlb6dgyyBWEIBp4jGKV0PrI4IM86nQPF4GAiKhKtDAjcxFhIoNAGvwY2zmRcDSXujlq81gLvewoULk7LFeZsRa5FA3whQEOobv/StezqkY9sCkR71GxoLCZAACZAACRQRgXXrnlUWQk9YM5o27VxpahpqHWe70yMh2bx/dNrmFITS4snqIiy+tmx6RaoTYSXsNUqdSoXsVCAEQRBi8UlAcQtXBZUYpBQhFhLoRwL2lPK5mgaDGHsn6TfIt9eeZ8+erS3AvNZnPRLIFQEKQrki6dJPz76XpGvnPS5XeZoESIAESIAE+ocABITFi5eozDN7lIDQIBdddGHOJvJa55tkX4+zIIFBQnVjJRCozdl47Ehk3TPrZNXDq2TsUaNl8IAGOVGlnXcq1ZGQVEUoajixcToXUK51EIJCUVoEOfHhucITWL16tcyaNStnAyOIMSxTGEjaO9JcB/lGVjKsAQsJ9AcBCkIFoB7f9Q/p3vN0AUbiECRAAiRAAiTgjwCEoWg06q9RhtrbOkdIR4+74BOuPzVDD7zsl8Dy5ct12vna6hoZ+5bRMu7EEyUa6x3Lie5i/sgiexjdw/wxY+38E5gzZ44sW7YsJwMxiHF2GHMZ5JtrkN0asFVuCFAQyg3H9L3AdWz77SLdbenr8SoJkAAJkAAJlDgBL5nGKAjlfpE3bNigYkKt0B2PHPEWOf8d5/QaJBoKSm2M2cV6gUlzompQGIGZWEigqAjAbWnatGl9DjDNIMbZL2uugnxPnTpVIPCxkEB/EaAgVCDyPV2vSdf2Owo0GochARIgARIggf4h0No1TPZ0N6QdnIJQWjxZX2xrb9MviE1Dm8Qp61hdLCwRlR2LxRsBZBKLDaSA5o0WaxWaAFyM5s2bl/WwDGKcNTqrYV8DTGMNli5dSnc9iyh3+oMABaECUo/vflQZCT1ewBE5FAmQAAmQAAkUjgACSm/Zf4z0iHuMmkB4gISqxxRuUhU6UjChso51HRJ/GEza/4MQrgmp+EGHGPrvgS1IIL8EEAx6zZo1WQ3CIMZZYevVCJZaLS0tvc57OXHNNddoSy8vdVmHBPJFgIJQHsiuXbtWVq5cKTNnzpSGhuS/knbt+JP0dGzJw6jskgRIgARIgAT8EVi58l8q7swrKrvY4TJlypl9jiXUHh8oO+NHpp0EBaG0eHJ6MWZLQ89g0v7RwjoIVkIsJFCsBOAqiqxjfguDGPsl5l4/2yDf48ePF1gYsZBAfxOgIJTDFejo6JB7771XIAihDB06VItCVVVVh0ZhKvpDLLhHAiRAAiTQbwRaW3eqLGNLrfGnTDlNRo06xjrOZidTdjH0GYgMkVDVyGy6ZxufBCJxldGtJ6BD4AysiTAUjg9+AWXkFmtQ8YM8FMRuwh8Ax7lkdvPQBauQQNYE5s6dK4sWLfLVnkGMfeHKWDmbIN9w+YMwx0IC/U2AglAOV+DVV1+Vm2++WRIJZad9sOCXgwsvTE7ly3hChg63JEACJEAC/UUgVRCaNGmijB17fJ+m09IxUroSvTNb2TsNxoZLMDrcfor7OSCAbHEbXtggW17dol8ympubtRgEUYjWQf4BI7MYMoxlKvgj4N13362rOf3Ol6k9r5NAXwn4DTDNIMZ9Jd67vd81gKsfPiwkUAwEKAjleBXuv/9+eeihh5J6Pffcc+XUU5NT7Ha3PynxN5LrJTXiAQmQAAmQAAnkmcDy5Q8ol7HN0tjYIOecc5YKbFnXpxFf3p85NlCoZpRywxncp3HYuDeBdc+sk1UPr9IXYirdPNzW4exUreIIIdU8iz8CkTqVbj6a3l1s69atAksLexk7dqy8//3vt5/iPgnknQCs1K6++uqM4zCIcUZEWVfwGuS7qalJULe+vj7rsdiQBHJJgIJQLmmqvrq7u+WWW24RWAvZy8UXXyzHHnus/ZR07bxfevY9l3SOByRAAiRAAiRQigT299TK9s4RGaceqh0jgeCAjPVYwR8BvBAinogp02dMl/q6ehkSikg4kF7YMG24PUhA4dLp5tMA2bVrlxaD9u/fb9VCiIBZs2b1ih9pVeAOCeSRgJcA0wxinMcFUF17WYPrrrtOxeybkt+JsHcS8EGAgpAPWF6ruv2SgL/WIa6QVVQ8oU4VZDrR1Wqd4g4JkAAJkAAJlCKBtnijvB4/IuPUmXI+I6KsKrRsbZGlSw7EhGoa1iTTpk6TqmhQhkQjEt9/yJU9q84rrFEmdzGIQAsWLBBYCNnLJZdcIqNHj7af4j4JFIzAli1b5IILLnAdj0GMXdHk7EKmIN9cg5yhZkc5JEBBKIcw7V1t3LhRbrvtNonHlfP+wYK/HKWKQjqe0I4/i/SoVCAsJEACJEACJFCiBN6IDxF80hVmGEtHp+/XEEeorb1NGgc36s6OHFwlEWUd1PFGd987r6AeMrmL3XHHHfLcc8kW3meddZacccYZFUSJt1qMBJC1yi1zFYMYF2bF3IJ8w10PazBs2LDCTISjkIBHAhSEPILKphpUYvzS0NPTYzV3yjzWs+8l5T52j1WHOyRAAiRAAiRQagS2dTZLR09N2mkzoHRaPDm9COugpoYDWU47dsUlcehXkZyOU3adZXAXQwBpk03W3Pvpp58uZ599tjnklgT6lcC0adOkpaUlaQ4MYpyEI68HbgGmuQZ5xc7O+0CAglAf4Hlp+swzz8if/qTcwmyZx5xEofjuR6W77XEvXbIOCZAACZAACeSEwLp1z8qaNU9LXV2NimlwpgounX2wZy+CEOMH5WTZPHViF4Ti+3oEH5bMBNK5izmJQRMnTpTzzz8/c8esQQIFIrB69Wody8oMh9TmCH7OIMaGSP63qUG+sQawDmIhgWIkQEGoAKvyxBNPyF/+8pekkZxEIQaZTkLEAxIgARIggTwSgHvRrbcuskYYNeooLQpZJ3zuvNb5JtnX4541JRCsklDtOJ+9snq2BAbUhKWxLqqbwzoIVkIsmQm4uYs5iUEnnHCCzigWYNDuzGBZo6AE4KVg3JOmT1cB5pnRqqD8MRhEIXzgIsY1KDh+DuiDAAUhH7D6UvVf//qXPPDAA0ld9BKFGGQ6iQ8PSIAESIAE8kcg14JQphhCoapmCURsiRXyd2sV2TPWc/Wa1dK2u03w1+hTThwtNbGQxQJxhBLdDC5tAXHYCQRFYg3hXlecxCAwRgbZYFA1YiEBEiABEiCBEiVAQaiAC3f//ffLQw89ZI14xBFHyGWXXSYINm0VJQp1bL9d5a9vs05xhwRIgARIgATyQWD16idl3br16q/HtX12GUsnCAUC4QPWQWrLkh8C655ZJ6seXmV1/qXPflwGDTxksYVMY/G9DC5tAXLYCVcHBR97cRKDmpub5dJLL5VwmM+znRX3SYAESIAESo8ABaECrxlcx+BC5igGHZwLM48VeFE4HAmQAAmQQJ8JpBOEgtGhEow193kMduBOAK4JcBNB2b9/j/zv/3xQWwqZFnQbMyTct7AOgpWQKUgvf+utt8q2bdvMKe3+gYyx0WjUOscdEiABEiABEihVAhSE+mHlHn74YRkzZow0NDS4jk5RyBUNL5AACZAACRQhgf09tbK9c4TjzEJ1J0kgEHO8xpO5IdCytUWWLlmqOwsH4vKtr13dq+Ou9m7p7qTbWC8w6kQgHJDYgEMudqaOXRQaMWKEtgyKRCLmMrckQAIkQAIkUNIEKAgV8fIxHX0RLw6nRgIkQAIkkESgR0Kyef/opHM4CEQGS6hqVK/zPJF7Aogj1NbeJqObh0l9VW9xA2IQRCGW3gQitSFBhjGnsmvXLh0cFum8Q6HeXJ3a8BwJkAAJkAAJlAIBCkJFvkrde9ZLfFdyMOoinzKnRwIkQAIkUKEEWjpGSlci2RKIqeYL+zAEVcarEUOqXQdFtjG4j7HYCCgdqGoQ4wHZiHCXBEiABEigQghQECqBhaYoVAKLxCmSAAmQQAkS2LDhBVm9+ik980mTTpbmZmeXL6+31to1TPZ0H3KHZuwgr+RyV8+ebt6pVwaX7k0lXBWQcA0tf3qT4RkSIAESIIFyJ0BBqERWmKJQiSwUp0kCJEACJURg0aI7pa1tj55xY2ODXHTRhX2a/d7uetnR9SbdRyBYJaGaExCcpU99srE/AsMbqyUScnZ90j2pEEL7lZWQMJSQBTY1mLR1gTslTaC7uzsrF79s25U0LE6+JAj86Ec/0skDvvvd78qQIUP6fc78rvT7EuRkAhSEcoKxMJ3omEJwH+vpLMyAHIUESIAESKCsCSxefLe0tu7S95gLQQgdbek4RuKJiITqxqpA0rVlza+Ybg7xgx7+59/lkRX3ydSpUwXxbtxK1x4VXLqDihD4IG4Q4gexpCdw0003yfPPP29VCgaD+oW0qalJxo4dKyeeeKJ1rRh2Fi1aJF//+tflxhtvlLPPPtvzlJ577jm54IIL5GMf+5h85Stf8dyOFUmgEAQ+8IEPyKpVqwQJihDkvj8Lvyv9ST+3Y1MQyi3PvPfG7GN5R8wBSIAESKBiCGzcuEn9cvm4vt8pU86Qpqahfb53pJ9vC50kwejwPvfFDrwTeP755+TbX5st+/e260YPPvig1NfXO3bAFPSHsETrQxKMpLGoOlS1ovc+/OEPC54pt3LqqafKt7/9bTnuuOPcquT8/Nq1a6WqqkqOPfbYXn1jLr/85S9lzpw58slPfjLperp2f//73+UjH/mInHPOOXLLLbcktSuWg3379sn999+vhd+AihnWH+WBBx6Qt771rUVhpWK//1deeUVefvllOf300+2nM+4XA9OMk1QV+iIIpXvuvYydWqcUviupc+axMwEKQs5civIsslwg/enhjSHp2vFnWgoV5SpxUiRAAiRQ4QTCh8uWwNQKh1D42//Xg/fKT3/0XWvghQsXyqhR7tndOnZ3SyJe2VZCbqnmLYjcsQgYQegPf/iDFgK6urpk+/bt2mro5ptvVrHIVsuRRx4p9913nwwaNMhql88dWP68613vki9/+cu9hnnjjTfkn//8p5x11llSXZ0cZD1dO7jALF++XMaNG6cE8qZe/RbDiXvuuUc+8YlPyKZNmyQcLrxL7s6dO7VF2G233SZvf/vbiwGJNYf/+7//k6eeekruvvtu65yXnf5m6mWOqNMXQSjdc+91fHu9Uviu2OfLfXcCFITc2RTdFZi9bt26VaZMmSKnnHyShPbeLz0dW4punpwQCZBA4QkEIo0SCCZnd8pmFoHwYSIe+knE25QovTubIXSbRE+HJLpas27PhsVJAM9h9LD3y2sqLFH7PqY3L9QqRSNB2fPay3L55ZdLe3u7jB8/XubPn592+J6uhHS2VdYa7dixQ1uU1NXVaTaROpVqPto/FhZpF6cILxpBaNmyZXLSSSclzRAvhhdffLF2Zbn66qvlC1/4QtL1fBy8+uqr8ra3vU0+97nPOQpCbmNm286tv/44P3v2bLnjjjv6TRC688475fOf/7zALa/YBKFJkybJ4Ycf7lsQ6m+mXp+jbAWhcnjuvTJiPf8EKAj5Z9YvLVasWCErV660xm5oaJALL7xQhje8LN17nrbOc4cESKB/CTgKM8GoiqvrHPwvgGsR52u4kyCueRBo+veu8zN6T8fmXh1DiEp0pwhREJfiO6y6PRCrutWHpaAEjBiE57Uz3iOv7txf0PErebAjB1dJNBzUCLZs2SLDhg3zhKNSYgnBuhrxb2BpDTFowoQJSkAXQTBpFm8E0glC6GHp0qXyqU99St797nfLr3/966RO9+7dK3/729/khRdeEDyfAwcOlKOPPloFsb9IC3RJldUB/gB6wgknaLcftMXvv8Zd7atf/aq0tLTID3/4Q23JA9egd77znVYXl156qXaVhMXSE088IZMnT7ZcytavX5+xHeaHeznmmGOS+jUDxONxgbvUv//9b9m4caO86U1vkuOPP15bKjlZ65j+4IL2lre8RZ599ll55JFHZN26dYLf5UePHq05RKNRM4TrFs8xxJjvfOc7snv3bgGLUOhA/CtYA9o5oBNYcIEbxsK8Mc9zzz1XCyZOg2zYsEH+8pe/CMQDxCQbOnSoXgf0i+9NIpHQ/cEdD98nsD7qqKN0V7iOZyRTaW1tlT/96U/y3//+V2DFhcDI6AOWXm4WWQ899JC2QHvppZfkzW9+s/7+4o/j9oJ7haXa9ddfL8OHD5ePfvSj1mXUdXIrRAW/TPEzBOuP+DmvvfaaXj8I8Keccoo1np8dv/0ZQWjNmjX6u4PvBiyiYLGH7wzuFYKYvXh57k39bdu26e8qrM8goOMZgLUcnt9U90TzbKd+V8z5XDzzZl7c5pcABaH88s1J7/hr39y5cx37wg+4aeeMltD+x+hC5kiIJ0kgAwElyAQjyirGVgLRI21HSo/B9VRRRh1rsSapJg+KkQBirylzygNTU9uergPiUaLzVX2OlpZ9XzW7GGR6e31Pp+zao7JZseSVwGEDYlJflV1Q5HKPJYSXYLzc4sXdXhCMddTYkepnOK2D7FzS7WcShB577DF53/veJ4gltHjxYqsrxLq54oortOUaTtbW1sqePcqEUBW8bN51111aVNEnDv4Prmfo65vf/Kb+4+d//vMffQXiB+KWQORxKybYLn5vnjdvnv79+ZJLLtHWNKeddppbMytILwL24qUbn5/+9KdJ9SFifOYznxHEYkGJxWLS0XHg3xa8NN9www3S3Nysr5n/mf6+8Y1vCCypvve972lhBQIQRBcUPI9//OMftcudaee0hVUOBCGnkjrff/zjH3quEGCM2ITxBg8eLD/+8Y97Bdq+9tprBYHDIfqgfk9PjxaRMBbeNSCC3H777XLVVVc5Da9F6McfPxCPzrGCOgmx6bOf/axmhqDkGAeCDArENLS3ixkQA+EOCAEJBTHR2toO/LEHQfORccvESTv55JO12KgrpvwPzwKeAafih+kK9cd5WL9BfEKxryH4Q6gz1odOY6Wey6Y/jINn6s9//rO2jkPMJPtz2NjYqJ/DM888Uw8HYcfLc4/KEFkhqOE5xfqgX8RWQoHlFdbfLnqaZzv12TPnc/HM68H5v7wToCCUd8S5GeDFF1/UPxDNF9PeKwLqvXPKyTJu5C66kNnBcL+iCCRZ5qRY5ARjhwSeQGiAstYZUFFseLPeCBjhKKEEpITK5mjc4rSAVKbZHU1QaaSenzDhreqT7ArihZyTGGTavfr6funs6jGH3OaYQF/EIDOVcrUSwl/eYcVgXjjN/WK7e88b8u73nuPr5c3evhL3MwlCv//97/XLO7Jzfetb37IQwZoHcV3wQg4rCrwww7rhF7/4hSBuy3ve8x4tRFgN1A4EIeOWBsuHr33ta9r6AWIAxBO8sEIkuPLKK7Xo8aUvfclqbixmUgUhVPDSzrzMpr7kQpw444wztBgAUWPmzJla0EIoh9/+9rfys5/9TFu7IG6RXRQw/Q0YMEC/TEPkQlyjmpoagSAAEeZf//qXnH/++ZndPJVIA8EGL/t40YdQZl7QYb2Bl3gUWC8ZS6DrrrtO18d5iGlwjTJWV7BuQoGVyYwZM2TMmDFaQMMW3CF8QaSBBQgsvzA2hKIvfvGL2mUNa25cxuzj605T/oe1QxBqrA8syCZOnKhjO8F6BZZceL/53//936RWcIGFiIS5QRg67LDDtFUOnqclS5bo4N/f//73dRvMC+IvBElYAEIwMQVcUq1bzDW088IUVlZgAEETwg+sX7DOWANYTMECDuuKZ8FLybY/Iwjh+cEc8OzDagp8wQQiDO4HzxQspVC8PPeod++99wqExA996EP6WQAzPDMQimARhe81vt+mmGc79btizufimTdjcZtfAhSE8ss3p73jhzO+4DCdxJc7tcD09Ny3D5O3DH2d1kKpcHhccgTsAo89ro1d3AnGDvxjV3I3xwmXHIFEfLeKefSati6CZVG5iETLlz+grCcOueZdfvlMX2sTjA2TyODze1vQHeyFrmO+cPqq3FAblkG1md1MMnVablZCEILwsoytU4GFxOgTj5YBDc4Z2Jza8JxodyC4HznFEHr99df1yzKsFfBCjBfjTAXuPxAT8JIPlxd7gSCEAhcnuG/BUiG1mDg2bjGEnAQh9JGpnXmZTX3JNf1BtEA6+9SCl2ZYFKXOx/SH+r/73e96uXVBtIRLFv64iz/+ugkX9vFg8YFnHB8jCNmvI0saXuQxH9yHvSDYPAQduOtBxEJBPcz/5z//ubz//e+3V3fch5UQrEX8xBAyFmQQd2DZk6k8+eSTOosaBEC899i5wPIPohgEIIhqxm0NrkqwFILY5DeodCamRohxWkMIMLgOV0CvTLLtz7SDRRrEstQCtzkIZhBwf/CDH1iXMz33VkWHHSP2wirrV7/6lVXDPNuYk92azpxHRSde2Tzz1qDcyQsBCkJ5wZrfTvEPL/6BhOmqUzm8sVrOPT0mRx6enQm5U588RwI5IRCql2D4wC/hxi3LHkOnkuPl5IQvOykogXIQiVas+Kds2HDAHSMajchll83wxlBZ4YUHnCmh2swppuk65g2pn1p11SEZUp/8koy/EMNFBr9sT5kyRQeY9tpnfG+3xPeXdsaxTEIQXrhh6TCkqVEitfz9yOuzYeoZCyG8+MGFCOEMEEMFYg4CHCPzVKp1kGnrtoUbClKEQxzC+phiBCH0C6scp5LpBdcIONja3YUytTMvs6kvubA8gQCB2ER2tyYzN/xuDqsmuDDB+sMU0x+scSAYOBUjRsBy6ogjjnCqknTO1HcShGCRBUEE8zBpxu2NEbcHFkCwHnn00Uf1JQgLsMbBzw1YLMH6JF3JRhDC8wELIawtMtVB6ElXEJwc4spXvvIV7WaWWheiB8QPuL/BogUlX4LQ5s2btXUbfn5AgHIqcI2E1ZgXS6++9GcEIQh4iOGUWvC9HDt2rLa+gqWYKZmee1PPaYvnHgHcU0Uo82ynflfM+Vw+807z4rncEaAglDuWBe8JZpZI74kf7k7lmOEd8s5JDTJoYPof7E5teY4EfBFwEHrscXdoyeOLJiuXMIFSE4laW3eqF5wnpbX1deWScZz6RfL4jPSD1c0SaXiXq1WQUwevtXUw65gTmCzODagJS2Ndb8sg/KEIcUBMgfuA1+DSorSg/bvigm2plUxCENxF8PKJlxNYGSCQNAJKs/gjYAQhp1ZwWUGcIAgvThYraIPfVTeqWE54GYY4AFc+ZMLDSzzcUUwsGNSFaADXIljMmPg3OG8vmV5wcykIwUIfViiwZoLliluB1QpciPD7OdxlUMzLMYJfQwhxKtOnT9euOnDdQrDtTCWdIIQYSh/84Ae1ix36dSrXXHONdv0CX1hfIbbQZZddpl3HENcJwgbW0kn4Qn/ZCEJoB/c1CDjV1dU6Kx2eqeOOc/6jAiyYIKDB4spJJAOr5cuXa7EIohFKvgQhuAGCx3vf+14dn0cPlvI/xBWCIAixDe5j6Upf+jOCEGJO4TlwKub5sH+vMn1f7P3ADRJCLYQgBC+HyPTd735XP1N47zTFPNtuglAun3kzJrf5IUBBKD9cC9ZrJjeyk8YdL++ZfDgzkRVsRcpvIMt1K4jYOwese4zbFi16ym+9eUe5J1BqIpErASX8RgaeIcHqka5V0l2gKJSOTuZrQSVmDBkQlZqYs3ULXEFgIWQKjpF5yGvp7kxIV3tvd3Sv7fuj3jPPPKPEzFbXoZHBaOTIkZbLUbg6KPiw+CdgBCEIBxAaYUUC4QYfZMpyE4IgoMAVCRYUJtwBYq+gPYQhuP/YX1wxM/QJYQLWOG4l0wtuLgUhWOTDUunEE0+Uv/71r25T0kIMBBnERoI1DIp5aUaQbATsdSq5FIRgVQPrGi8F1l0QuVAQHBvZ3RDfB98prCdchBBEOzVDV7aCEMaBK9dPfvITZZm6AYc65g/c8M4++2x9bP4HKydYO2Uq//M//6MDdaNevgSh2267TcfqQRY9xOhxKohF1KwCisPSzdybUz2c60t/RhCC+6bbz3dkoUZcJgQCN2uX6fuCeSHuEtbfBE2HgA6hFvcEwQtZzPwIQrl85jE/lvwRoCCUP7YF7RkKLuIL4R9e/ONqCqLnI7YQXkjiux+Tnn3PmUvckoCIseyxBWG2xB7G5+ETQgJ5I9BLJIqrzCndB7Kn5G3QbDtWPyfCdSoYaM0YX1ZBTsNRFHKikvlcVTQoRwxUmQ3VL+huBS9Ds2bN0i9RSIMM6wu/pdQCTENIQJrk1II4QbBaQXpzUwIhZR000FlMM3W4dSdgBCGnGEJurSDoXHzxxdoyC4GYEegYllrGJQmxc+Di6CQIQXRKl7Uq0wtuLgUhWEjAkgVp4xF0163AXQgv04h5A3EAxQhCqVYU+uLB/+VSEELWNlhrYTwEYk5XILqZQNSmHv7QjDX+zW9+o4N/RyIRLTTbYwv1RRAy44DLLbfcogMZQyiEVRKsUEwx1lawtsF7jFtBkGfzPc+XIIR4TIjLhO+APS6PfU4Iig3rrkxCJtr0pT8jCMHNDy5cTgXiGqzUELcJ4ipKpu+LiT0Ea0qIgODf1NSkhUEIt3BD8ysI5fKZd7pPnssdAQpCuWNZFD0hlSd8gvFDAKowzBvtpadjs3rnUMJQxxb7ae6XKQFj3WOCMhs3LmbaKtMF522VNoGeDhWsWgWu7nhVJQboUEL+Dn0//fLzWonECBgdqh2ntsNzypWikD+cg+ujMrA67LkRYgnZ3W88N0RF5TLW8UZcZdnz1arfKsPtyMRBwSTg4gIhCC+JSUXpaLGBdBVLYuLzIBtB6KMf/ah264FlDKwFUgssbnbs2FH0ghDmjfg6cKGB9Yc9wLH9nvCCjlhCiIlkLKYKLQg9/fTTOsA3AnbDWqgvBcIQrGLwnbIHds6FIGTmBTEQghjiUcFFzGTGgkAEqzJYFMFayEvJlyCEZxTPKgRMBEl2KnC/mzx5sk7PDvElXelLf0YQuvXWW+Vd71Ku2w4Fwg3+HYD7osm6l04QQlBsuLrhHRLPqxGRTNcvvPCCfv4pCBki5belIFR+a6rvCKaf+ILbg/TZb1ULQ3vWKouhjfbT3C8xAm6CD125SmwhOV0S8EAAYtEBoahNEt27cyoadXTXSnXdEAlGj5SAEoD0zxAPc8q2yt6Obnltd6f0qH+nWHoTgCXQgJqQ1FVFJKIsWwpZeroS0tlWOq5jsDBBwV+23X7nQRDpUKywHAu5ZoUYKxtBCIFoIaLA0ic1nhUykiFQM0o2FkKIkQVXI7vLkJ2Dm4VQpnZuAg4s7vFS7ZZFDcIkrGhgSYH03aa49WeuY+vXQgjCAwQIu8uX6Q8v9RCm4MKEWDWp3E09r1u4CMJKB/eEe0NBzB4II8g4BbeyvhZYMyL+GWIbIbg1ilk/jI80714KRCXce7rgz279pGOKNniW4UqHP7g3Njb26gZucMiehvnjPjKVbPszgtDHP/5x+eY3v9lrGLiKwWUMRgFwGTMl3XOPeEEI8I6foXB5TC2IV3TllVfSQigVTBkdUxAqo8XM5lbgttDdvla64UrW05lNF2yTRwIUfPIIl12TQBkSMKIRbk1bGjnco7EUxKX/bNwus784R8demDBhgo4h4dAkL6cgBr3W1il795eO+JAXELZOo5GgDKiOSH1V/7o2xff1CD6lUPDHLzeLDcw/FA1IpK5/eZYCx0xzzEYQMrFMvve972nhxoyBP1rihRZxUFCyEYRMWnJ7tizTP7ZGUMDWnmUsUzs3AQeiFrJZISYVUq6b2DsYCwGzkfEJfaem2XbrD+1M8SsImbVAzDC45KUWWGSBOUSOX/7yl5ZLlakHsQhWKiZoNIII436MVZOpt3fvXkFgYMSPwb2Z+jfccIN270rnEmT6MFswgnuak/WisST7xS9+ocUMtIGFC9yWYHGFzGfnnHOO6craQgCCe6ixgsHPArhtwXIQ3GHZ5LVkYgrx61vf+pZ2xcMzZWeF5xcsTFxXxC7LVLLtzwhCiMMFCy6IX6bgviGQwprrZz/7mSAwtynpnnt8H8ENzwWyqNn7hEvue97zHsEzQgshQ7P8thSEym9Ns76j7j3rVfDptZLoapVdu96QTZteVn67A7Xv7sCBB7IlZN05GzoTgFtGRAX0OxjD54ArV73QpcsZF8+SAAnklgD+MmuPNeM3EHEuZlPK1kLI+AVha3+nElC6/Vs7wRIoGglIlRKCqqNhvc0F01z00fFGt7JE839PfsZGbBZYNDhlEfLTj1tdZBODq5jQOMgNkefz5oXZTwyh3//+9zqODWK8IL4OXH9gMQRLG7zI46UWVizZCELIjAW3KFgawboB1jk4BzcauLy4CUKZ2qUTcIwLFZ5XiF3IPIbU77C+QPY0CEbIomUv6foz9fwKQoYrYutA7EJ8IwgUJkwEhAmchwsWRByIKYhphHijmCfiIMGFb86cOXoKsGxBn+edd54WvNAvUpZj7gjcnhocGG5ziFMDIRYWQnCnQ5wZY91j7su+hUgBsQLtjj/+eG25hKxziLkEYRCCBPjaBSME50Y8GwgdGAOBuvHMQKRYt26dDpyMedrbIH4S4igh3hOeWTx7WKdTTjnFPp1e+5mYosHXv/51HfcI88B9gC3GhwUNmEOEmzFjRq++3U5k0x8EIViGQagDUzxzCOoO6yUEPMd8cK+YkxHKMH6m5/7Tn/60ds+DlRDWFM8LrC8hfl5wwQU6mDTiI/kJKp1OMPT7zLsx5PncEKAglBuO5dWLil3xjwd+J1s2rlJ/qdwr4eCBXwjr6motgai2tsbVNLu8YPT9bnpZ+cQOBHjLdVyOvs+UPZAACVQagT6lKs8xrDZlKdS+v0uLKznuOufdwZJniIrtEw0rxeFggTDUGU/Ivs4DiR06lZjS09NbUIH4EwuHJKLa5tIdDH9Rh8UAAvnC2suL24KZu+NWTb1jd+5EISS8gJUARCCkisfHFMwXL3o5LUoEig0IqT+wUA3KBddsBCGMC0sFZBmDtQkKAkrD4gDBeeF+BVehbAQh9AWrB6QlR6wUFAgUEBXgNuQmCKFeunaZBBz0j/TxEFsgZmJMWKLMnj1bW4mgf3vJ1B/q+n05RhBmuAsh8DOsOlAgUCxYsEDv4384j4xRsK5BbB1TMF8Ic3CBe8c73qFPQyBCQGeILPYC0Q6xfMA4Go3aL2kG//d//6cteXABcbvSZdeCcPfVr35Vi1H25DcIWg0xD5nRnNzbsLZf+9rXtKsWhCFT4LYFAQvuZOjDFFgN4d6Qlt4UzBMB99MVr0xhfQVXLAhZuA8IcbCcwTzw3PkpWCO//UFkwVogUxmecXyHTKbFAQMGaIEImdDsFkxmTumee4iFaLd48WIdcgRtwBhCEeJIwXUPWd8oCBma5bWlIFRe65mzu0HqSZgHogyoblefPTKwZp/65bdL/QXzUBYzWBDhhw7EIvwyh/2ysSYyGbhsVAMqvoa9BGDZE0k2DWX8Hjsh7pMACRQzAYgI+KUSv8jjL7Dp/sJbqPvoUkLKrr1wJespuhhDyPaFuD797dLltBap4l5OrL2yEIUg+uBFCcKP2eJFzv4ylzp/uOGYYLKp17I6VhoQxaCsyOWlEZ4DxCmByxAsECBK5KrATQgvqngphmUQRAwvJdt2pm/cE+L44LnNuZhpBsmwhcgGCyUIIrCIsVuE2Jvi5zzqYZ5wZ+oVdP1gZdSDoGKs9lA33VqZdYXLUXNzs1RXV9uHddzHzwG4oEEQHjRokJXJyrGy7STEE4hKmBvc2/BJzZBmq65dzWANhechNUiyvV7qvlem+PkGoQ3WR07iS2q/mY770h/mAQslCJPp1gtzyPTc4/7xXQU34yKYae68XvoEKAiV/hrm/A7wwwC+rfiHwa1AJEKJKYEoFjkQeygWOSAWjR49SgUzG2017elSmXI8xieCqxp+mXQrPYmwxKXe7bI2m0wVbeyVTUp1+zmVQkcHUIXpKv7BzLbAVzvbwrGzI0fm/rnxWfPPDC3681lDdpN0aXfT3RF+6YZ5ebalv8euqRsgHcrqpjPerT49nq2H8NLhlI7cKwe4hNgDFEMIGlQb9eTS1V/MIQDBQsgUWCz4eRFCO8f19igK4S/m6f79NvNy2uIv0fgre04KxaCcYGQnJEACJEAClUGAglBlrHNWd4lAbhBI8AKJj9df9GBeir8UZFMQzMxu5um3j76YyHNsv7QP1Cdz/9z4rPlnhhaV+qz15Wcqfnbb3Qj8ki/WsSEOwRsrGg4I4vCgIBbRHuWuBcuinbtel6fW9kEIG3eiHH6YinFSFZaaqHLv8uF21F/M8VdiuHZgfAgsp512mt/l1u4hjv9+exCFEGvEuC54GfiARfGBOIUQPHNiZUExyAt61iEBEiABEiABiwAFIQsFdzIRgH8pzGNh6ongcRCMkKUgtfTlBYIvyqk0vR1X6osy79vb82Gvxe+YnYb3/f581vryM7W/xAmQ7c+xX/jPy/KXe++TqtoBEo3VSjCUOcvU/r27pWv/XunYv0/ed8H5MvItI7w/ILaa/XnfeR1biUJde7qlu1PtOBSM7WZlG4vFtDsJXEoQQyZnApBtHgElDsbq1Tof0AdtV7hLAiRAAiRAAiTgRoCCkBsZnvdMAK5lEIeMSHTGGWckBXjz3JGqyJdVP7QO1e3Pl1WOfWgdvO7xOfdKKrlepT5rFISSnwMvR6nCCAShaFWtY9PO/XukRwVptRcyt9NI3o/vT6iU9IpXii6EOC74PQCudhB+8DH7yT3k/ihcE5JwFZWg3JNljyRAAiRAAuVOgIJQua9wid0ffonHJ9uCoKjZFo6dHTky98+Nz5p/ZmhRqc8aMpf0JYYQYrtkWzi2f3KIIVTuzBMqsVFnu8pApuI79WdBBrFoXZCZxPpzETg2CZAACZBASROgIFTSy8fJkwAJkAAJkAAJkED/EIC1UPd+JQwdyHxdsEkEgiLh6pCEYrQKKhh0DkQCJEACJFCWBCgIleWy8qZIgARIgARIgARIoDAEujsOuJHlWxiiEFSY9eQoJEACJEAClUOAglDlrDXvlARIgARIgARIgATyRgABp3u6VAa4rkTOrIYgAoWiAWUNRNewvC0cOyYBEiABEqhYAhSEKnbpeeMkQAIkQAIkQAIkkB8CiW7lTqYEImx7VKwhr9ZDEICCkYCKCxSUUEQlDVNxglhIgARIgARIgATyQ4CCUH64slcSIAESIAESIAESIAEbAVgOuRUIPxCDWEiABEiABEiABApHgIJQ4VhzJBIgARIgARIgARIgARIgARIgARIgARIoCgIUhIpiGTgJEiABEiABEiABEiABEiABEiABEiABEigcAQpChWPNkUiABEiABEiABEiABEiABEiABEiABEigKAhQECqKZeAkSIAESIAESIAESIAESIAESIAESIAESKBwBCgIFY41RyIBEiABEiABEiABEiABErAR6O7ullAoZDuT/e6SJUtk6dKlMnPmTDnjjDOy74gtsybQ09MjgYAKEq8+uSq5fEZyNadC91MJz/bDDz8st9xyi0ydOlUuvPDCQiOu2PEoCFXs0vPGSYAESIAESIAESIAESMCdwE9/+lN55ZVX3CukXBk3bpx8+MMfTjnrfnjllVfK3/72N3nwwQfl8MMPd6/o8crcuXNl3rx5gu0ll1zisRWr5YoAhJszzzxTDjvsMIGAkYuS62ckF3MyfeC5/ctf/mIO9Rbi5vDhw+Xoo4/Wn5EjR0ow2PcUipXwbP/hD3+QL3zhC4I1/+IXv5jElQf5I0BBKH9s2TMJkAAJkAAJkAAJkAAJlCyB97znPfLUU095nv8FF1wgv/zlLz3XP//882Xt2rVy3333yQknnOC5nVvFSnhpdrv3bM7v27dP7r//fm2RkQuLnra2Nr2OtbW1sm7dupxYfuX6GcmGk1ubG264Qb773e+6XdbnIZL+4Ac/6PPzXQnPNgWhtI9S3i5SEMobWnZMAiRAAiRAAiRAAiRAAqVLoLW1VeLxeNINwGpowYIF8vWvf13e//73J12rqqqSgQMHJp1Ld7Bx40Z58cUX5eyzz05XzfO1Snhp9gzDQ8V77rlHPvGJT8imTZskHA57aJG5yiOPPCI1NTXy1re+NXNlDzVy/Yx4GNJzFSMIXXXVVfLJT35St4PIhjn/5z//0e6LK1as0MIYrF5mz57tue/UipXwbFMQSl31whxTECoMZ45CAiRAAiRAAiRAAiRAAiVPABYReBH+4Q9/KJdeemlR3U8lvDTnEjgEijvuuCOnglAu51fsfRlB6Ktf/apcccUVjtOFS9nVV18tu3fvljvvvFMmTZrkWC/TyUp4tikIZXoK8nOdglB+uLJXEiABEiABEiABEiABEig7Al4EoS1btmjriHPOOUfe8pa3yPbt27Vr0qOPPirDhg2TL3/5y5oLAkCj7owZM6S+vt5ihfMdHR3ygQ98QHbt2iUPPPCAdl3r7OzUrjdnnXWWNDU1WfXNTqaXZswDcV/gzgTLp+OPP17OPfdc1/hFsJD605/+JP/973/ljTfekCFDhshRRx0l73rXuxzHN/NI3WIs3MP69eu15UhdXZ3uB3ze/OY3J1U3df/9739rS5M3velNep4Y08mKJ5X1s88+K7DSwT02NDTI6NGj5aKLLpJoNGqNs3//fi1OfOc739FCBQQNE9h71KhR8s53vtOqiyDR//znP3V/iCeFepjze9/7Xhk6dKhVz+zceOONApex1FhSOA+3wNNPP12vOfpcs2aNboZnBHME39SS7hnBfXzwgx8UuKr94x//kCeffFJ27NghI0aMELDF+roVxK5avXq1vPrqqzJo0CB9L4YB2qCP8847z625Pu9FEELF3/3ud/KVr3xFEE8ILnr2tUg7gO2iebavv/56mTZtmr5fuHNu3bpVjj32WDnttNP0WtuaZNzNdk1Mx+a7+dxzz8lrr72mxx8/fryccsopporjFvWx/njG8QydeOKJ2krwrrvuks9//vOuMYTw/ce6Pf300/pnCp7tyZMny3HHHec4Tq6+v46dl9PJBAsJkAAJkAAJkAAJkAAJkAAJeCCgRISEEnUSv//9711rq2xBVh310p1QL8L6GO2UkGC1UyKAPq9cbKxz2MH5MWPGJJTbTUK96Oo6SjSw+sC1v//970ltcHDdddfpOosWLep1beXKlYmxY8fq683NzQl8MB8lUiTUS2av+suWLUuYMVWQ8KBHAAAAKLZJREFU4IQSgqzxlSCS2LZtW682TideeumlhIrFZLXFmOajXI2SmuB+7XXN+KiP80qYSqqPA8NaxW5KKLEgceSRR+r+zf2hrbJKSWzevNlq+7nPfc6ag5mL2eKaKUosSUycONGqe8wxx1j74HHvvfeaqtYW/aBNasH5j3zkIwkl3CTUi3yvOSohKqFEs9Rm+llAW6dnBG2Uu1tCiQK6PyXiWPPDmqkA473627NnT+J973ufrod1VDGKrHXGOEqAS5x88smJb33rW73app4Ab7TBNl1RwbYTyi1S11Vueumqul4zz7ay6EqogOnW/HEPmAO2SuBxbe90Ae2yWRP0pYTVhIqPpMdGP/bnDc+QEumchkz8+te/1nM1bcz8lbCXuP3223V/yvqwV1usvxJv9XWsrXkW0V65sfaqn6vvb6+Oy/CElOE98ZZIgARIgARIgARIgARIgATyQMCPIPSZz3xGCy6f/vSnE8p6I7Fz586EsmixZpVOEMILo7J8SODlEi/9ylJFt8fLN14I8SKI8/ZiXppTBSFlNaPbKOsFLSR1dXUl8FHBrBPKikQLAi+//LLVlXLv0S+4ELLw4ouXW2W5k1BWNwmVFjvxi1/8wqqbbgfig3lp/tKXvpRQFhEJZdWiGfz5z39OKIshqznqnnTSSVrQ+f73v59oaWnR17BVQYn1efSV+qJtBCGwgrilLJoSyppJ3x+Erg996EP6JVrFuLHGgkCB+4FQBM6YE47xwTV7wdrddtttCWVdpU/jxRzzQzvMR1lt2Kvr826CkMq8pcVBrJOybNFriudCWYxZ7VQMnqT+vDwjuDcVi0rPH8/Ez3/+8wTGgriDtbcXFftKj6WyWCWUBYm+1N7erkUF3BPu12vxKgihvzlz5uhxf/azn3ntPqmeebZxX8r6SX+fwF5Z0iWUtU1iwoQJun88V14L7jebNVEWOvp5hCD3xz/+UT9veG5eeOGFxMyZM/U8IDSllr/+9a/6GgRdiH+YP76HeAaU1Z8luqYKQngmcH8QnW6++eYEviso+D4Zoe3uu++2hsvV99fqsMx3KAiV+QLz9kiABEiABEiABEiABEggVwT8CEJ44cTLvlvJ9LJvtyay9wGBBH2r2Cz2064WQsp9SdfHy2tqgdiBvj772c9al5Rrm2P/VgWPO8rNR/fz//7f/8vYwrzwu1mmmHuGGGMvRhDCPThZ2Cj3HD0HWPRAVLMXIwjhpdxPQT9G6NqwYUNSU8zDTRDCNaf7g5igglDreSo3sqT+Mj0jsJxyKhCJMF6q9Q5EN5xPtTiC6ABxBGLj3r17nbrsdc6PIPTb3/5Wj2u3wOrVYZoT5vnAOr7++uu9akL4wn29/e1v7yXq9ap88ATq45Ptmjg9b3g2VLB53S+s8kzBeSPe2M+b68rVz7LUShWElGue7k/FvDLVrS2EQGPVZcTMXH1/rUHKfIeCUJkvMG+PBEiABEiABEiABEiABHJFwI8gBAsCWKu4lUwv+04CDvrCyyMshFTskKSuzUuz3UIIFkl46YWbUqr1CRqrOCj6+tve9jarL1iOwPUK51KFA6uShx0VS0X3Y3fXcmuGuhAj3FzRYF0FlyhYAdmLEYTQ3q0Y4QdWOfZizvsVhNDHF77wBc0tVRQA63SCkN0Syz4XvOyjLSyc7CXTMwIXKqeCZwf9wRLIFFjT4JwbKxWzSl+HpYuX4kcQAieMjfvJpphnWwWvdm2uYgvpMWA546VgPvj4WRMVR0q3gZueW4FlGvq1W6VBuME5CFZuBdZZqJMqCJnn9IknnnBsCusi+33k6vvrOFgZnqQgVIaLylsiARIgARIgARIgARIggXwQ8CMIXXjhhWmnkOll/7HHHnNtD7EGL4FwDzHFvDTbBaGHHnpI14ObzS3K3cvpA3EJYgxcp0z50Y9+pNvBbUwFXdbuKeaaly1EFlguqIC5GavDdQbjw+omXTnjjDP0nOwimxGEEIPFrZiYM6lCh3nRziQIQUiDe5sKiKxjR910001WbB+43dkL1sRNEAJnY8Vhb4N9xIFBW1jS2EumZ0QF0LZXt/Yff/xx3d+nPvUp6xx2VMBsfR7xmuwFbkhYa8wRwpGX4kcQwjOJ+0sn6KQb0zzbeC7dihHVUtfErT7m43dNEAMK7dK51kHURB1YBJnyoHK9zNTO3KNdEDLfI8QMcvru4hzEKfS9YsUKM1yir99fq6MK2KEgVAGLzFskARIgARIgARIgARIggVwQ8CMIIYZQupLpZT/1pd3el7GGsMfhMS+UdkFo4cKF+mURL4yZPipTkn2IhMp6lJgyZYrVDq4wTgGokxodPPivCgCN8RAIN1PBfaLuu9/97rRVjQWLyi5l1TOCUDqhIVtBCPGL4PIHSy/DDoGuEZzbBPVNFR9Qz00QgruWW8lWEHJ7RtwEIRP/CNYrcKdDgQWXifFz5ZVXuk2x13k/gpD53vz4xz/u1Y+XE+bZvvXWW12rm3v7zW9+41rHfgFr5XdNEEwe7b75zW/au0rah+gHMRTPiCkq05pud+2115pTvbbGrc4uCMFCzzx7mbZLlixJ6rMv39+kjsr8gIJQmS8wb48ESIAESIAESIAESIAEckXAvNh6yTKWKV5KJkEIwWbdirH0sLtjmZdmuyCEILt4kcRckDUr3cfNegWiCwQEvOSiLy8xgeCehbqwXshUECgaFkJnnnlm2qomAxnEJlOMIJSOdTaCENzyjEUS3K4gsMC9zhRYTeH+/AhCTkKR6S9bQcjNpc9NEILFCQJ8Y+74mFhI2McaI8C01+JHEDLBvVNFC69jmWc7XUDzb3zjG/qe3FwtU8fCPftdE+P6BoZuBTGY0DeCuJuyePFifQ7PjVtZsGCBrmMXhIy1EZ7FdN9dXHNyCcVY2Xx/3eZYjucpCJXjqvKeSIAESIAESIAESIAESCAPBAopCC1fvtzxDhCgFjGB4O6CzFimmJdmuyAEaxq8nEIU6WuBNRIEBMQXQiyVdAVzRABgu5VEuvoQjhDUGO3cCtzPcM92F698CULz58/X3OwxeOzzmjVrlr5eaoIQ7gGCCSydYFEDIQpxiLzG3bEz8CoIGREFMa8gtGVTzLMNSya3AkELz/qqVavcqiSdz0YQghUd2iFQu1uBayLqQPA1Be6fOPexj33MnOq1NRZOdkEIlWChhgxjboJtr45cTvj5/rp0UZanKQiV5bLypkiABEiABEiABEiABEgg9wQKKQjB4sGp/P3vf9cvl7ASshfz0mwXhGDxAaEF4gysCPpabrzxRj02tpmKsehJDbzs1A4WPnhhRpwep4JYObie6oLWF0EIAX7RZ6qrHMY383GyNrGnrC81Qej555/X95zO0saJv9M5L4IQgpqfeuqpekxktMu2mGfbHpfH3hesco499lgtGDqtp72u2cfa+7UQQtuTTz5Zf5/cxC24xaFvu3hlAsFjjiZtvJmH2V588cW6Xaog9P/buxNgOarqj+MnhAghYBaTEJFVAWUptEQsIaIsBigIS0BRQBZBcEVEBCmlUKki7JFFBLVkUVA2FSEVsEAg7IpCCIiABmTHACKyiHHp//md+t+xZ173zHsvzSP35dtVYWZ6uX37c+dRNafOPTdlEs6ePTudOujXgfz9DvommV1IQCizAaO7CCCAAAIIIIAAAgi8XgJDGRBSZkDnsuaatqSgiH5wXnbZZW0M6UdzOSCkE84444w4f4899mib9pQuVuZBeXUv3aNcrDqdp9f99tsv2lJ9kl5bWm1Jgaty++m6cqaPMiiUBaEVkzp/0Ks/O+ywQ9y3M7i0OAGhvfbaK9q86KKLUpdarylbQ5lAndusWbPiOo1BbgGhOXPmRN817a8uoNH5vHWfuwWENA1Q2UcKRspJ9Z+6ZX/V3SPtT99ttaXpV53bzJkz4z6HHXZY56Haz2prMAGhs846K+6loGH5O6wbKQtngw02iKyehQsXtt07rUyn/4d0bqnotPrUGRDS6mLKylMgqvP/B6kd1btKW1N/v6m94f46Qg9obAgggAACCCCAAAIIIIBADwH/4Wlnnnmm+Y8284BC5dk+ZcX8B3D88x/Fledop87RuR7UMF9SvXVe2u+BFPPMGPP6K+ZTxMx/YJoHYsxr6JgvHW6evWIjR45sXXfKKaeYBytMrz5FrLXff7TGZ7U1efJk8xXHzIMv5kEf8xpE5isn2YwZM8wzGuIaX5nM9tlnH/NsDPMft+Y/Us1r1di8efPMf7ia/8g3z1awlVZaqXWPuje+ypVdeeWVrft6HSLzYsbRlq+UFv1N16pNnb/yyiubr9BmntVkjzzyiHndmeinHDz7Ip0er/2x9kBYPOPcuXOj76kBrwNlXjTaxo0bFz4+pcmWXXZZ22WXXaKP2223nZIHbNq0aebFtc2DHOYBKfMlxGOfF+w2X+UpPFOb/sM9vLyGT9oVr3X700mnn366nXDCCeaBKNt7773T7p7fkc7vTrrQgwhhuNNOO5kHMNJu84yxaPOee+6JfXpebcstt1z0e+rUqebF0O3Nb35z7O/2H/0d6O/Bs17MVyiLU/Ud1XfFg3rxecyYMeaBEPPpXGHbrb1ux9J3W8+j74kHCM1r9NiIESNibD1rLr43+q54PapuTbWODXZM1MBRRx0VY7/RRhvF34n+rnzaXfxN6u/tuOOOsz333LN1L73xaZbmxeDDZssttzSfJhnH77333vi7nj59erx6YW/zqYpt16b/72icPPPOPFhsHmAzDwTF/0NGjx5tHpyMa5r8+23rxHD9MNwjXjwfAggggAACCCCAAAIINCMwlBlCzz33XCwfrVWtlDmgf5pycvTRR/fJTNDTpSyKzgwhHVMWkKaLKCMitaVXZR548KXQNLS0Pfroo1EjRfV6yud60KpQlsNAp55p9SRlN6S21K4HWQqtvNS5efCo8IBIaxUv9U/Lw1dN3dK1i5MhpKlfslRB69Q3D4S1unT11Vf36besVD9p/vz5cU1uGUJ6Jk2VUzaWpiIpS0r/9Fwe3IhnkvcLL7zQcqh7kzKEkp1eVdvKA2nFZz7zmcKDOEU5c6Wunf7s13db2UbKyLnqqqviO5Huq2dRTZ/OjJxe7er6wWQIqV39PSkDygNUMU1Nbel7rWmS3YrBK1NO3vpb0jX6fm+22WaFMrdSAenODKH0HMoiUrZdKu6enl/F2FXzKm1N//2mdofrKxlCwzXSx3MhgAACCCCAAAIIIJChQMoQUkaPMmq0eS0WU+aB/+iMrIjFeSxluijzZsUVV7RJkyaZsjiqtldffTWyknwKio0fPz6yRlJGSdX5vfbpvh5MMi9oHBkp3c73YE1k4ijbQ/18LTevPxMeo0aNir6Vs678R3BkYSibSlkwOifX7fvf/35kgR1yyCGRBbTCCiu0PYoyTpRZpgwTZbbpe7gkbx60Ml/NLsZlcb6Xi/uMyrrS36cy2vrbD32/FyxYYFOmTLGxY8cOqAuLFi2yhx56KLIDJ06cGH+bVQ00/fdbdY/hsI+A0HAYRZ4BAQQQQAABBBBAAIFhIpACQnXTgYbJY/IYQyygKYiaInjnnXfWBtk0DVFTlo488kg7+OCDh7iH3A6BoRcgIDT05twRAQQQQAABBBBAAAEEagQICNXAsHvQAsr+UR0qZYQp0Fi3HXHEEeargZlPOzSfWlZ32mLvV30d1dzptfkKZXb22Wf3Oo3jCAxagIDQoOm4EAEEEEAAAQQQQAABBJoWICDUtCjtSeCAAw4wryFkvnJaTAdTgChNj/Pl6KNIstd1Mq+rY5dccknPaX2Lo6pC18pW6rWts8465ivb9TqN4wgMWoCA0KDpuBABBBBAAAEEEEAAAQSaFiAg1LQo7UlANXf233//WLlOn7UylerXePHyqE+l+khavUsrZL3xjW/UKWwIDHsBAkLDfoh5QAQQQAABBBBAAAEE8hFQ8V8VjdXS0xMmTMin4/Q0CwFfIc20LL0KMvtqWbFc+8orr2y+WhXftyxGkE42KUBAqElN2kIAAQQQQAABBBBAAAEEEEAAAQQyECAglMEg0UUEEEAAAQQQQAABBBBAAAEEEECgSQECQk1q0hYCCCCAAAIIIIAAAggggAACCCCQgQABoQwGiS4igAACCCCAAAIIIIAAAggggAACTQoQEGpSk7YQQAABBBBAAAEEEEAAAQQQQACBDAQICGUwSHQRAQQQQAABBBBAAAEEEEAAAQQQaFKAgFCTmrSFAAIIIIAAAggggAACCCCAAAIIZCBAQCiDQaKLCCCAAAIIIIAAAggggAACCCCAQJMCBISa1KQtBBBAAAEEEEAAAQQQQAABBBBAIAMBAkIZDBJdRAABBBBAAAEEEEAAgd4C//3vf23EiBHxr/fZ/zvjpJNOsgcffNBmzpxpkyZN+t+BJfDdgQceaOPHj7cTTzxxCexd7y7deuutdu6559r06dNt55137n3BEJzxn//8x0aOHNl2p5y+E20d5wMCAxAgIDQALE5FAAEEEEAAAQQQQACBJVNAP+o333xzmzhxol1xxRUD6uSHP/xhu+2220zBijXWWGNA1w71yW95y1tslVVWsTvuuGOob93I/S655BI79NBD7Ytf/KIdfvjhtW0+8cQT9q1vfcs23HBD22+//WrPW9wD6sc111xj119/vU2ePLnVXE7fiVaneYPAAAUICA0QjNMRQAABBBBAAAEEEEBgyRN48cUXI3gwZswYu+eee9oyPv7xj3/YtddeG1kpyiDq3HL68b+0BIRmzZplp5xyip188sm2xx57xJD1GsfOce3P5x122MHmzZtnv/zlL+P7k67J6TuR+swrAgMVICA0UDHORwABBBBAAAEEEEAAgSVS4Pbbb7cVVljBNtpoo7b+XXXVVfbJT37SHnnkEVt22WXbjulDTj/+l4aAUFEUNnXqVFu4cKHdddddttJKK8WY9RrHPgPbjx1//vOf7U9/+pN96EMfajs7p+9EW8f5gMAABAgIDQCLUxFAAAEEEEAAAQQQQCA/gS996Ut28cUXExBaAoauP1PGfv3rX9uuu+5qM2bMsG9/+9utXvcax9aJDbwhINQAIk0s8QIEhJb4IaKDCCCAAAIIIIAAAgi8vgKvvPJK1Fn54x//aE8++aSNHTvW1l57bdttt91s+eWXr+zc3Llzoy6Pzn/DG95gU6ZMsfe9733xrypLp7IR3/nAAw/YLbfcYr///e9t3LhxtsEGG8TUL7XZuX33u981TRn7+Mc/HodeffVVu+yyy+zYY4+1v//97/bVr361NZVs3XXXta222irOSz/+VUdowoQJUUvozjvvtOeff95WX311mzZtmun8um3RokXhM3/+/Mhqefvb324f/OAHbb311utzye9+9zv77W9/a/vuu2/YyVTTlfScW2yxRZj2uai0QxlC+veb3/zGnnrqqeirsmiWWWYZW3PNNSOIoqLTdZuyblQvR9Pq/v3vf4fntttu21Y/p3ytCnXfdNNNcf5jjz0WfjLZZZddYkzL55bf33///XHdfffdF+e9853vjCycyy+/3A455JCuNYQOO+wwu+iii+wnP/mJfeADH7D+jqPuP9D+XnnllfGd3nPPPVuZSGonfSdyqCul/rIhMBgBAkKDUeMaBBBAAAEEEEAAAQSWEgHV3vnc5z5nL730UjyxAi4vv/xyvFeQRz/wV1tttZaG6rwoIKPpW9o0hUsBpbSpQLACNP3ZFODRyl8KXOi+als/+Ndff307++yz7W1ve1tbM53TqRR4UECoatMP/tNOOy0OpR//s2fPjmDFggULbNSoUfavf/0rjiuApQLIn//85/s0pWlon/rUpyJgoqDM6NGjw0fXKLDxhS98oe0a1cVRfZybb77ZrrvuOjv66KNbx9XfI444ovW56o2ecZ111rFvfvObphXHNBYKjikopU3BOtkokNK53XjjjfEMzz33XFyj47pOQTAVcO6cNqVgnlYC06u28tgrEPid73zHFEzq3H7wgx/YMcccE+OmvmnMNIaaBqYgojJ96opKa4zf9a53RXBGQS+Z9nccB9PfNPadgZ+6/Z3PymcEshbw+ZlsCCCAAAIIIIAAAggggEClgP/ILrz+TuGBocILN8c5nuVSHHDAAYWvdhXHyhced9xxsd8DIYUHVgoPBhTPPvts4VkwhQeCCs+EKZ9e+/6cc86JdnbaaafWNR78KM4888xi1VVXLTy7p/AgQ9v16s973vOe1j5feSzO2XTTTaMtzzSJz7pOx9LmQYo47oGmwoMshdeUifM82FOcccYZhWdDFR70Kv7whz+kS+LVgxfFxhtvXHhmTuFBkEL90+ZZMYUHV6LNX/ziF7Ev/ceLJMf+o446qvAVzQoPxMT9PHOn+Otf/5pOq33VM3pAqHjrW99aqK2nn346jD1LqPjKV74Sbb/3ve8t9KzlzTOswu3d73534YGowoNd8U/j4llXxVprrVU8+uij5Uvi/Wc/+9niwgsvLNQ/bV5zpzj++OPjPh64KTygFPvTf+bMmRPHZPmrX/0qjute6t/WW28d/dYznHjiiemSttef/vSncb2+R2nr7zjq/IH2N429nqu81e0vn8N7BHIXsNwfgP4jgAACCCCAAAIIIIDA0AsoaKIf9l7Aue3mu+++e+z36Uxt+wfywbORol0FfnyaUp9LPVMn7vHjH/+47VhnQCgdTAEhBSaqtvTjf/vtt686HEEita1gVHnTZ+33jJfy7ngvHwWRNtlkk7bgUwoI6TrPrupzXa8duk7/PAOnz6kKnGg8dFwBmPLmWVux/9JLLy3vjvcK+Oiagw8+uM+xqh0K8ikYpGsefPDB1inanwJhPmWwtT+9UWBQgSddVxcQ+uhHPxrH5de59RrHzvPT57r+6ngaewJCSYvXpUmAgNDSNNo8KwIIIIAAAggggAACDQp4TaD48a5MmbR97Wtf6/qDP53X7dWneUUbvtx45WkpC8WnErUdV6ChnCGUDvYKJKSggNetSZe0vSqIorZ92ljb/tSu1wRq258+KCNG15Uzb1JAyGvwpNMG9Kr29E/ZS1WbglM6/rOf/ax1WFle2ue1jYryWKUT/va3v8VxZRb1dzv00EPjGmUBpS0FCX26WtrV51UZPOpLVUDoiSeeiCwmXwq+z3XakbzrAnuVF/3/zqr+6lAaewJC3fQ4NlwFqCGU9YQ/Oo8AAggggAACCCCAwNAIvPDCC+Y/mu3xxx83n9oUhX6/973vRX0ZFRBOS4Or8LD/yDb/cR/Lv3/iE5+wHXfcMWrr9LenHjSJmja6ToWoOzcPsJjqC/l0LbviiitahztrCKUDm222Waww1mvZeZ+uVHk/FYFWLR2fvmZnnXVWNKuaOD5tKwpDq1h11XbeeeeZikZ7JlMUmdY5qYaQagv5FK+qy7ru0zOqPtHDDz8c9XU6Tz799NPthBNOMJ/WZXvvvXccVn2cj3zkI7bhhhuaB9k6L4nPX//616PWjwd1bLnllms7R0WdNfYaU5+iFrWcrr766igafu6559o222wT599www221157RcFpz55qayN9SM9fVUOoqu/pOr32Gsd0bn/7q/PragXV7U/34BWB4SBAQGg4jCLPgAACCCCAAAIIIIDAaySgFay8jo6puLRPSYq7rLjiilEsWoEhBUbKASGd8Je//MUU1FGA5Z///GcUOlag4NOf/rS96U1v6tlTBUt0ba9NxZUVhEjb4gaEVOjZpzSl5lqvVQEhBZcUoOjPpiLPCm5pSwGRk046ybSy1UA3PePkyZNN41K1VQVVtFrXl7/85arT++y7++67beLEibFfwZ9TTz3Vfv7zn7eKiitYpPFX0EUFrcsBoQsuuCCCXCqyXS6WXb7Jj370IzvyyCMri0pvvvnmEXCcN29efGfK1+l9r4DQQPurNusCP3X7dQ0bAsNGYLimPvFcCCCAAAIIIIAAAgggsHgCmgrlK3lFUWVfkavwwE+rcLJa3nLLLWP6jy/pXnkjX7a98JWoCk1F0jQhX3q8T2Hmqgt9pa04/4c//GGhaUR1/zzw1Ha57rE4U8Y8C6atvfThjjvuiP54QCvtKnRv3e/9739/bf9Sv8vTtNKUMQ/StNoayJu6Z0xtaJx0juzS5gGd2KdC36lPda+p2Lbq/ejZ1JamyslAU8vS5llRcUxFqdOWCkLrWN12/vnnx3WdU8ZUqFz3Ouigg+ou7TplbDD91Y2YMlbLzYGlQIAaQkvBIPOICCCAAAIIIIAAAggMRsCXiI8f6eV6NOV2UgHjuoBQOlc1X3xKUrRVVYA5nZdePaMmzlVwYyBbXbCkV+2ZuqBAundVQEjH1l133VhhLAVR0vndXl+PgJBn/YTnxz72sW5dazvm0wHjms66SekkzwKK4+WAkC8TH/v233//dFqf17RCWWdAKAUByzWJOi/uNo6D6a/arxv7uv2dfeIzAjkLEBDKefToOwIIIIAAAggggAACr6GAVshSkEXZJJ2bCiXrmP71CgjpWp86VngNmyhsrFWfum1e8ybaVVHmgQRb6gJCKnKsY88880zlbXv9+K8LCKXrZs+eXdlu1c7XIyCkVdvWXnvtWPK9aiyr+qlsIplVrUrm0wRb2TrlgJCydFZfffXiHe94R1smWbn9tIpYOSDk08/iGq1cprbrtm7jOJj+6j5pDDuzw+r21/WN/QjkKEBAKMdRo88IIIAAAggggAACCAyBgBdRjqCApvmUN/2A95pAcawzIFReUat8jbJUvP5N4XViyrtr33t9nWh/5syZlUGCV155pfBC123X1wWEUl/rVhHr9eO/LiCkKXV6JgXOysuvlzv11FNPlT8Wr0dASB3wOlDhqZXbylO/UucUeCtPwUuZPMoE6txmzZrVGvtyQEjnpdW8jj322M7Liuuvv751XTkg5IXBY/8xxxzT55ryjm7jONj+1o193f5yf3iPQO4CFJUeNtWgeBAEEEAAAQQQQAABBJoVSEWCx44da74UuHl9nlhpypeFtwkTJkRx4ZtuuqmtqPSuu+4aq5BttdVWtsYaa9jIkSNNRYLnzp0bK5J5ICBWourVU62itfvuu8c166+/vk2dOtWmTJlinuVjCxYsMN1XK36lFa7UXl1R6fQc48aNM582Zeutt16s1OVLv0c3ehUQrioqnfrvASvTiloqtrz99tubTyOL1bo8EBSrcI0ePdo8aJJObxWVVnFp9WWgW90zpnaqikrrmE/bi/vdfvvtUZRabmuuuaZ5dlcUcr7xxhttxowZ9o1vfCOaUqHw7bbbTgkENm3aNNtiiy3sxRdfNJ/SZVqJTPu0elq5qLQu1CpzKqCtcfIaU63V1e699167/PLLbfr06fFaXmVMq6Fdd9110bZnF8X9q/7TbRwH29+6sa/bX9Uv9iGQrUDuES36jwACCCCAAAIIIIAAAq+dgOr4aLqRsm/0T+81PUeFkn3p99hXnjKmWi4q7JzOT6+a7lM1/ahbz9Wuath4QKitPV/uvVCdGg8atV2ue1UVldY0JF/1qlh11VVb7eyzzz6ta3tlg9RlCKUGlPniAbBitdVWa7WvvigbSh7l7fXKEFIflAWkMescH2U57bzzzoUHZcpdLXxp+ch+SmOo6WA6z4M+xfz58+NZOzOE1IAyjZTN4wHBOEft+wphxZw5c1rFuFOGkM6V27bbbtt276oPvcZxMP2tG/u6/VX9Yh8CuQqQIZRtKI+OI4AAAggggAACCCAwNAL+Q9x8Kpgts8wykfUzYsSIrjf2H0eRJaQsEb33gELlMuJdG+k4uHDhwljOXplJWnZ91KhRHWf0/ujTzEzLxetaLS+v7KUmt0WLFtlDDz0U7Wrp9vHjxzfZfKNtKdtHFlpCftKkSTZmzJjK9jV+ynZSJpGvODcgd31vlM2lzC5lmTW1dRvHxelvU/2jHQRyESAglMtI0U8EEEAAAQQQQAABBBBAAAEEEECgIQECQg1B0gwCCCCAAAIIIIAAAggggAACCCCQiwABoVxGin4igAACCCCAAAIIIIAAAggggAACDQkQEGoIkmYQQAABBBBAAAEEEEAAAQQQQACBXAQICOUyUvQTAQQQQAABBBBAAAEEEEAAAQQQaEiAgFBDkDSDAAIIIIAAAggggAACCCCAAAII5CJAQCiXkaKfCCCAAAIIIIAAAggggAACCCCAQEMCBIQagqQZBBBAAAEEEEAAAQQQQAABBBBAIBcBAkK5jBT9RAABBBBAAAEEEEAAAQQQQAABBBoSICDUECTNIIAAAggggAACCCCAAAIIIIAAArkIEBDKZaToJwIIIIAAAggggAACCCCAAAIIINCQAAGhhiBpBgEEEEAAAQQQQAABBBBAAAEEEMhFgIBQLiNFPxFAAAEEEEAAAQQQQAABBBBAAIGGBAgINQRJMwgggAACCCCAAAIIIIAAAggggEAuAgSEchkp+okAAggggAACCCCAAAIIIIAAAgg0JEBAqCFImkEAAQQQQAABBBBAAAEEEEAAAQRyESAglMtI0U8EEEAAAQQQQAABBBBAAAEEEECgIQECQg1B0gwCCCCAAAIIIIAAAggggAACCCCQiwABoVxGin4igAACCCCAAAIIIIAAAggggAACDQkQEGoIkmYQQAABBBBAAAEEEEAAAQQQQACBXAQICOUyUvQTAQQQQAABBBBAAAEEEEAAAQQQaEiAgFBDkDSDAAIIIIAAAggggAACCCCAAAII5CJAQCiXkaKfCCCAAAIIIIAAAggggAACCCCAQEMCBIQagqQZBBBAAAEEEEAAAQQQQAABBBBAIBcBAkK5jBT9RAABBBBAAAEEEEAAAQQQQAABBBoSICDUECTNIIAAAggggAACCCCAAAIIIIAAArkIEBDKZaToJwIIIIAAAggggAACCCCAAAIIINCQAAGhhiBpBgEEEEAAAQQQQAABBBBAAAEEEMhFgIBQLiNFPxFAAAEEEEAAAQQQQAABBBBAAIGGBAgINQRJMwgggAACCCCAAAIIIIAAAggggEAuAgSEchkp+okAAggggAACCCCAAAIIIIAAAgg0JEBAqCFImkEAAQQQQAABBBBAAAEEEEAAAQRyESAglMtI0U8EEEAAAQQQQAABBBBAAAEEEECgIQECQg1B0gwCCCCAAAIIIIAAAggggAACCCCQiwABoVxGin4igAACCCCAAAIIIIAAAggggAACDQkQEGoIkmYQQAABBBBAAAEEEEAAAQQQQACBXAQICOUyUvQTAQQQQAABBBBAAAEEEEAAAQQQaEiAgFBDkDSDAAIIIIAAAggggAACCCCAAAII5CJAQCiXkaKfCCCAAAIIIIAAAggggAACCCCAQEMCBIQagqQZBBBAAAEEEEAAAQQQQAABBBBAIBcBAkK5jBT9RAABBBBAAAEEEEAAAQQQQAABBBoSICDUECTNIIAAAggggAACCCCAAAIIIIAAArkIEBDKZaToJwIIIIAAAggggAACCCCAAAIIINCQAAGhhiBpBgEEEEAAAQQQQAABBBBAAAEEEMhFgIBQLiNFPxFAAAEEEEAAAQQQQAABBBBAAIGGBAgINQRJMwgggAACCCCAAAIIIIAAAggggEAuAgSEchkp+okAAggggAACCCCAAAIIIIAAAgg0JEBAqCFImkEAAQQQQAABBBBAAAEEEEAAAQRyESAglMtI0U8EEEAAAQQQQAABBBBAAAEEEECgIQECQg1B0gwCCCCAAAIIIIAAAggggAACCCCQiwABoVxGin4igAACCCCAAAIIIIAAAggggAACDQkQEGoIkmYQQAABBBBAAAEEEEAAAQQQQACBXAQICOUyUvQTAQQQQAABBBBAAAEEEEAAAQQQaEiAgFBDkDSDAAIIIIAAAggggAACCCCAAAII5CJAQCiXkaKfCCCAAAIIIIAAAggggAACCCCAQEMC/wczdUB5AMdi9QAAAABJRU5ErkJggg==", - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": { - "image/png": { - "width": 500 - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "# The figure below demonstrates how we obtain the various test sets\n", - "Image('data/imgs/eval_split_triples_view.png', width=500)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "732dbdd4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'disease': PosixPath('../data/biokgb/properties/biokg.metadata.disease.tsv'),\n", - " 'protein': PosixPath('../data/biokgb/properties/biokg.metadata.protein.tsv')}" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ENTITY_TYPE_W_ATTR_ENCODE = 'protein'" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "576066a0-22f8-4ee1-bf2a-440abb2f6b74", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# protein entities in larger biokg (pre-benchmark removal): 122902\n", - "# protein entities for which we have attributes: 121988\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n", - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - } - ], - "source": [ - "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", - "test_triples_incl_ent_prop, test_triples_excl_ent_prop= create_entity_attr_aware_test_sets(entity_type_w_attribute=PROTEIN,\n", - " graph_cfg=graph_cfg,\n", - " train=train,\n", - " test=test)\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d5eca0e8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'COMPLEX_IN_PATHWAY': 0,\n", - " 'COMPLEX_TOP_LEVEL_PATHWAY': 1,\n", - " 'DDI': 2,\n", - " 'DISEASE_GENETIC_DISORDER': 3,\n", - " 'DISEASE_PATHWAY_ASSOCIATION': 4,\n", - " 'DPI': 5,\n", - " 'DRUG_CARRIER': 6,\n", - " 'DRUG_DISEASE_ASSOCIATION': 7,\n", - " 'DRUG_ENZYME': 8,\n", - " 'DRUG_PATHWAY_ASSOCIATION': 9,\n", - " 'DRUG_TARGET': 10,\n", - " 'DRUG_TRANSPORTER': 11,\n", - " 'MEMBER_OF_COMPLEX': 12,\n", - " 'PPI': 13,\n", - " 'PROTEIN_DISEASE_ASSOCIATION': 14,\n", - " 'PROTEIN_PATHWAY_ASSOCIATION': 15,\n", - " 'RELATED_GENETIC_DISORDER': 16}" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "train.relation_to_id" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "78bb33c6", - "metadata": {}, - "outputs": [], - "source": [ - "prot_assoc_rel_names = ['MEMBER_OF_COMPLEX', 'PROTEIN_PATHWAY_ASSOCIATION', 'PPI', \n", - " 'PROTEIN_DISEASE_ASSOCIATION', 'RELATED_GENETIC_DISORDER', 'DPI',\n", - " 'DRUG_TARGET', 'DRUG_TRANSPORTER', 'DRUG_ENZYME', 'DRUG_CARRIER']" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "f60920db", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'DPI': 5,\n", - " 'DRUG_CARRIER': 6,\n", - " 'DRUG_ENZYME': 8,\n", - " 'DRUG_TARGET': 10,\n", - " 'DRUG_TRANSPORTER': 11,\n", - " 'MEMBER_OF_COMPLEX': 12,\n", - " 'PPI': 13,\n", - " 'PROTEIN_DISEASE_ASSOCIATION': 14,\n", - " 'PROTEIN_PATHWAY_ASSOCIATION': 15,\n", - " 'RELATED_GENETIC_DISORDER': 16}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# relations containing proteins include -> UNWEILDY\n", - "#prot_assoc_rels = {rel:rel_id for rel, rel_id in train.relation_to_id.items() if 'PROTEIN' in rel or rel in ['PPI', 'DPI', 'MEMBER_OF_COMPLEX', 'DRUG_ENZYME', 'DRUG_TARGET']}\n", - "prot_assoc_rels = {rel:rel_id for rel, rel_id in train.relation_to_id.items() if rel in prot_assoc_rel_names}\n", - "prot_assoc_rels" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "618c08b2", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# triples originally in test: 185227, valid: 185226\n", - "# test triples with protein nodes: 54064\n", - "# test triples without protein nodes: 131163\n" - ] - } - ], - "source": [ - "# create set of triples\n", - "print(f\"# triples originally in test: {test.num_triples}, valid: {valid.num_triples}\")\n", - "print(f\"# test triples with {ENTITY_TYPE_W_ATTRIBUTE} nodes: {test_triples_incl_ent_prop.num_triples}\")\n", - "print(f\"# test triples without {ENTITY_TYPE_W_ATTRIBUTE} nodes: {test_triples_excl_ent_prop.num_triples}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "997c69ac", - "metadata": {}, - "outputs": [], - "source": [ - "triples_dict = {\n", - " TEST: test,\n", - " VALID: valid,\n", - " TRAIN: train,\n", - " TEST_RESTRICTED_PROT: test_triples_incl_ent_prop,\n", - " TEST_EXCLUDING_PROT: test_triples_excl_ent_prop,\n", - " DUMMY: dummy, \n", - "}\n", - "\n", - "TEST_SET_LIST = [TEST_RESTRICTED_PROT, TEST_EXCLUDING_PROT, TEST, VALID]\n" - ] - }, - { - "cell_type": "markdown", - "id": "4bd6d9de", - "metadata": {}, - "source": [ - "# Evaluation" - ] - }, - { - "cell_type": "markdown", - "id": "c9f19197", - "metadata": {}, - "source": [ - "wandb logging" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "bd79960d", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Failed to detect the name of this notebook, you can set it manually with the WANDB_NOTEBOOK_NAME environment variable to enable code saving.\n", - "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mpmitra01\u001b[0m (\u001b[33mdiscoverylab\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n" - ] - } - ], - "source": [ - "import wandb\n", - "wandb.login()\n", - "\n", - "WANDB_ENTITY_DISCOVERYLAB = \"discoverylab\"\n", - "WANDB_PROJECT_NAME = \"bioblp-jupyter-eval\"\n" - ] - }, - { - "cell_type": "markdown", - "id": "c01a090b", - "metadata": {}, - "source": [ - "sanity check logic for experiment run with wandb logging" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "d466ef2e", - "metadata": {}, - "outputs": [], - "source": [ - "def trial_func(x=1, y=2):\n", - " print(x*y)\n", - " return {'x': x, 'y':y}\n", - "\n", - "#trial_func_kwargs = {\"x\": 1, \"y\": 2} \n", - "#metrics = run_experiment('dummy-run', TEST, BIOBLP_D, trial_func, **trial_func_kwargs) " - ] - }, - { - "cell_type": "markdown", - "id": "a59db324", - "metadata": {}, - "source": [ - "## analyse effect of node degree?\n", - "1. compute a degree table for entities in train" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "0c12a37f", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - }, - { - "data": { - "text/html": [ - "
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srcreltgt
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" - ], - "text/plain": [ - " src rel tgt\n", - "0 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-1479277\n", - "1 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-1591211" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "training_df = pd.DataFrame(train.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET])\n", - "training_df[:2]" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "b136823e", - "metadata": { - "scrolled": true, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "DDI 906535\n", - "PROTEIN_PATHWAY_ASSOCIATION 205871\n", - "PPI 93643\n", - "PROTEIN_DISEASE_ASSOCIATION 89804\n", - "MEMBER_OF_COMPLEX 71035\n", - "DRUG_DISEASE_ASSOCIATION 53426\n", - "COMPLEX_IN_PATHWAY 19615\n", - "COMPLEX_TOP_LEVEL_PATHWAY 12488\n", - "DPI 7860\n", - "DRUG_TARGET 5714\n", - "DISEASE_GENETIC_DISORDER 4339\n", - "DRUG_PATHWAY_ASSOCIATION 4244\n", - "RELATED_GENETIC_DISORDER 3450\n", - "DISEASE_PATHWAY_ASSOCIATION 2945\n", - "DRUG_ENZYME 528\n", - "DRUG_TRANSPORTER 222\n", - "DRUG_CARRIER 90\n", - "Name: rel, dtype: int64" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# not a nec step, but to ease computation, let's restrict the triples to disease node containg triples\n", - "#training_df = training_df[training_df[COL_EDGE].isin(list(dis_assoc_rels.keys()))]\n", - "training_df.rel.value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "a33c90f6", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "node_train_degree_df = compute_node_degrees_in_out(training_df)\n", - "node_train_degree_dict = pd.Series(node_train_degree_df.degree.values,index=node_train_degree_df.ent).to_dict()" - ] - }, - { - "cell_type": "markdown", - "id": "be807528", - "metadata": {}, - "source": [ - "Now we attach the training node degrees against the disease entities in Test triples" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "158f9046", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Reconstructing all label-based triples. This is expensive and rarely needed.\n" - ] - }, - { - "data": { - "text/html": [ - "
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srcreltgtsrc_training_degreetgt_training_degree
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" - ], - "text/plain": [ - " src rel tgt src_training_degree \\\n", - "0 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2029130 67.0 \n", - "1 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2038750 67.0 \n", - "2 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2454243 67.0 \n", - "3 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-983670 67.0 \n", - "4 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-983674 67.0 \n", - "\n", - " tgt_training_degree \n", - "0 59.0 \n", - "1 23.0 \n", - "2 60.0 \n", - "3 35.0 \n", - "4 51.0 " - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# now bucket the test triples according to node degree\n", - "def retrieve_node_degree(node, node2degree_dict):\n", - " return node2degree_dict.get(node, 0)\n", - "\n", - "test_triples_ent_w_attr_df = pd.DataFrame(test_triples_incl_ent_prop.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET])\n", - "test_triples_ent_w_attr_df[\"src_training_degree\"] = test_triples_ent_w_attr_df[COL_SOURCE].apply(lambda x: retrieve_node_degree(x, node_train_degree_dict))\n", - "test_triples_ent_w_attr_df[\"tgt_training_degree\"] = test_triples_ent_w_attr_df[COL_TARGET].apply(lambda x: retrieve_node_degree(x, node_train_degree_dict))\n", - "test_triples_ent_w_attr_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "9ee1f0de", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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srcreltgtsrc_training_degreetgt_training_degree
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] - }, - { - "cell_type": "code", - "execution_count": 43, - "id": "0025a48d", - "metadata": {}, - "outputs": [], - "source": [ - "rels_w_prot_as_tgt = ['DPI',\n", - " 'DRUG_CARRIER'\n", - " 'DRUG_ENZYME',\n", - " 'DRUG_TARGET'\n", - " 'DRUG_TRANSPORTER',\n", - " ]\n", - "rels_w_prot_as_src = ['MEMBER_OF_COMPLEX', \n", - " 'PPI',\n", - " 'PROTEIN_DISEASE_ASSOCIATION'\n", - " 'PROTEIN_PATHWAY_ASSOCIATION',\n", - " 'RELATED_GENETIC_DISORDER',\n", - " \n", - " ]" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "id": "1e6c19d4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "count 526.000000\n", - "mean 68.604563\n", - "std 77.053967\n", - "min 1.000000\n", - "25% 24.000000\n", - "50% 41.000000\n", - "75% 84.750000\n", - "max 409.000000\n", - "Name: tgt_training_degree, dtype: float64" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_tgt)].tgt_training_degree.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "cad79df5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "count 19031.000000\n", - "mean 76.604330\n", - "std 81.642176\n", - "min 1.000000\n", - "25% 22.000000\n", - "50% 49.000000\n", - "75% 100.000000\n", - "max 480.000000\n", - "Name: src_training_degree, dtype: float64" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_src)].src_training_degree.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "150f7b2e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "We have 18505, or 3518.060836501901% more test triples with proteins occuring in source position than in tail position\n" - ] - } - ], - "source": [ - "print(f\"We have {19031-526}, or {(19031-526)/526*100}% more test triples with proteins occuring in source position than in tail position\")" - ] - }, - { - "cell_type": "markdown", - "id": "eab8e699", - "metadata": {}, - "source": [ - "Triples with protein as src entity far outnumber triples with protein as tail entity. \n" - ] - }, - { - "cell_type": "markdown", - "id": "65cb2adf", - "metadata": {}, - "source": [ - "### average performance predicting the node which has an entity degree of x\n", - "\n", - "Let's focus only relation types where proteins are the source, as these have more support in the train/test sets" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "7af7b697", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "node end point to predict, and evaluate performance on: src\n", - "Restricting analysis to relations where we predict protein as src\n" - ] - } - ], - "source": [ - "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", - "print(f\"node end point to predict, and evaluate performance on: {NODE_ENDPOINT_TO_PREDICT}\")\n", - "print(f\"Restricting analysis to relations where we predict {ENTITY_TYPE_W_ATTRIBUTE} as {NODE_ENDPOINT_TO_PREDICT}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "c3017f7c", - "metadata": {}, - "outputs": [], - "source": [ - "# define relations restrictions to consider, based on which node endpoint position the LP performance is evaluated on\n", - "RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE = { \n", - " COL_SOURCE: rels_w_prot_as_src,\n", - " COL_TARGET: rels_w_prot_as_tgt\n", - "}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "e69437ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'src': (19031, 5), 'tgt': (526, 5)}" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "def create_test_df_subset_given_node_endpoint_type_to_predict(test_df, \n", - " node_endpoint_to_predict,\n", - " restricted_rels_by_node_endpoint_type_dict):\n", - " test_subset_df = test_df.loc[test_df[COL_EDGE].isin(restricted_rels_by_node_endpoint_type_dict.get(node_endpoint_to_predict))]\n", - " return test_subset_df\n", - "\n", - "def get_unique_endpoint_entities_in_testset_of_given_degree(test_df, degree, node_endpoint_type=None,):\n", - "# restricted_rels_by_node_endpoint_type_dict=None):\n", - " if node_endpoint_type not in [COL_SOURCE, COL_TARGET]:\n", - " raise ValueError(f\"Invalid node end point type {node_endpoint_type}. Allowed values are '{COL_SOURCE}' and '{COL_TARGET}'\")\n", - " test_subset = test_df[test_df[f\"{node_endpoint_type}_training_degree\"]==degree]\n", - " test_unique_ents = test_subset.tgt.unique()\n", - " return test_unique_ents\n", - "\n", - "\n", - "test_triples_by_node_endpoint_to_predict = {\n", - " node_endpoint: create_test_df_subset_given_node_endpoint_type_to_predict(\n", - " test_df=test_triples_ent_w_attr_df, \n", - " node_endpoint_to_predict=node_endpoint,\n", - " restricted_rels_by_node_endpoint_type_dict=RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE\n", - " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", - "}\n", - "\n", - "{node_endpoint: test_triples_by_node_endpoint_to_predict[node_endpoint].shape for node_endpoint in [COL_SOURCE, COL_TARGET]}" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "5d5ddcf4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "16" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "unique_protein_tail_ents_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", - " degree=1, node_endpoint_type=COL_SOURCE)\n", - "len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", - " degree=1, node_endpoint_type=NODE_ENDPOINT_TO_PREDICT))" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "id": "f64d11d8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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srcreltgtsrc_training_degreetgt_training_degree
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" - ], - "text/plain": [ - " src rel tgt src_training_degree \\\n", - "0 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2029130 67.0 \n", - "1 A0A075B6P5 MEMBER_OF_COMPLEX R-HSA-2038750 67.0 \n", - "\n", - " tgt_training_degree \n", - "0 59.0 \n", - "1 23.0 " - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_triples_prot_as_src[:2]" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "df406a5a", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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+3t8pSsU836Ga7m6n1/eeaxPyMpO55cop3Dy/hPrmjn4P6zgcwuz8zH5VaQ3F+6nYMKzZR8aYOutrEXkM2OD+tgY4x+PUAuCTAK+xBlgDrtpH4WmpUpHjO1RTlJPCbQtKufv5XfbQzWPLy0lOdPRKLf2vNwY2UdyfKq1OpyE1aVRI3k9Fv6AF8UTkDGfv2K1P3Li/NsaYjKAv7ppT2OCRfZRnjKl1f/0d4GJjzA0iMhN4Btc8wiRgM1BqjOkJ9vpaEE/Fo+r6Zq5a/YZ9Z37LlVN4/M1qr7H/opwUbv+baXxU3+y1sxqEtvCdb9XV9u6esL6fGh6DLohnjEkfwpv+BrgCGCciNcAPgStEZA6uwHII+Kb7fXaLyDpgD9AN3NJXQFAqXvmWrRDBa+jGWoVckJVC+uhRYS185zmX8PTWw3x7YakW2otz/R4+EpHLcN29/0pExgHpxpiDgc43xnzZz+HHg5z/Y+DH/W2PUtFqqMXmAm3R6W/oxhpGCtV2nr48A1RtYzsfn24L6/upyOvXRLOI/BC4A/i++1AS8N/hapRSsSoUxeZ8t+h86b2j/OiaWV6rkMF1h373C++zamlZSLbz9LcOwQpQlvXbali5sDQk76eiU7822RGRHcAFwHZjzAXuYzuNMWXhbV5wOqegoo3vfAAMbszd6m1Yk7+FWalsOVDP15/s/f/7b781j+y00UPazjPQOoRF03N5dW+d1/FHl89lbHIStU3t5GWmMDMvg1GjtOByLAnFJjudxhgjIsb9gnpboJQfvvMBMLgxd9+yFeDqQfgbuslOG93r3IEKtA5hY+V8Fs+cyIyV86lr6qCzp4eTLV188+ntuogtTvUZ3kVEgA0i8igwVkS+AfwReCzcjVMq1vgOt0Doxtx9h5VCOXRjBTNrDcKtC1zrEE62dACwp/YMN/3qHbZWn+KO9Tt1EVsc67On4O4hXINrTqEJmAbca4z5Q5jbplTM8S1jHcoLd3/WFAzWhPRkinJSWFZe6FVOu3TCGLJSz/YiPDOhLJp9FF/6O3z0FnDaGPOP4WyMUrEunBdu6/WHOlTky+k0HGxo5s7F0/mOzxDSHet38h9fmdtryEqzj+JXf4PClcA3ReQwYPcTIz3RrFQ0CseFOxScTsORky3UNXXQ0tlNUXYak8elcaihhVuf+St/f8UUr/0VxB3H0kePsgPBln3HuWfJDO7fsCfkPSEVHfobFD4X1lYopcLK6TS8tq+O/XXNPLR5v9cFPSs1kfYuJ509Tr9DSLMmZfDg9XNYtWkvi2flsWbLR6y4rIQEB5QXZXNpSY5OMseRfqWkRitNSVWqf6rrm3l+x1G/JSqerbiEZWveIis1iXuWzPDKQrLO2bRyPo1tXSxbs1VLXMSBYCmpmlys1AhQ19SO0/ifJO7q6eHB6+dwqrWTA8eb/Z5zrKmd1s6egJPMKn7oHs1KjQC5GckkiP9J4uy00cwtzOa8yvnUN3cEnUjWSeb4pz0FpUaA4pw0ZhdkBixRYU2OX1iUzYPXz6EoJ4VbrpxC5cIpPLa8nMKs1LCuk1DRQ+cUlBohPLOPWju7KXRnH/lOEnd3O/n9rlp7kZrnqmXAq/xGKNNt1fAJNqegQUEp5SVU9ZtU9NKJZqVUvwWr36TinwYFpZSXcNZvUtFPg4JSykt/J5T97b+gYp+mpCoVR4a66xv0r35ToP0XtIR27NOgoFScCOWFuq/6TYH2XzhPJ6Njng4fKRUnAl2oB7vXQbDhIZ2Mjl/aU1AqToRq1zfou9dhTUbr6ub4oz0FpeJEKLOG+up1DGV1s05QRzftKSgVJ0K565tvr8PaY+HDujP2ew1mMyGdoI5+GhSUihOh3PXNc3goLzOZ5fOKvPZYsC7kA91MSCeoo58OHykVR6ysoXkl4ygZP2bQd9+ew0PXzi2wAwIMbQJbJ6ijnwYFpVQvVq9jY+V8ZudnhOxCrqulo1/YgoKIPCEix0Vkl8exbBH5g4jsd/83y+Ox74vIARHZJyL/K1ztUkr1j9XrmJqbHrILuZbfjn5hq5IqIpcDzcCvjTGz3Mf+BThpjPmpiNwJZBlj7hCRGcBvgIuAScAfganGmJ5g76FVUpUKv1BPDlurrrX8duQEq5IatolmY8wWESn2OXw1cIX766eAPwF3uI+vNcZ0AAdF5ACuAPFWuNqnlOqfUE5gW6830AlqNXyGO/so1xhTC2CMqRWRCe7j+cBWj/Nq3MeUUlFAL+QjR7SkpPq75fA7riUiFUAFQGFhYTjbpFRcCkXRvGh8LxUawx0U6kQkz91LyAOOu4/XAOd4nFcAfOLvBYwxa4A14JpTCGdjlYo3w7l4TBeqxabhTkl9EbjJ/fVNwAsex28QkdEiMhkoBd4Z5rYpFfdCXTQvWt5rsLTkRm9h6ymIyG9wTSqPE5Ea4IfAT4F1IrICOAJcB2CM2S0i64A9QDdwS1+ZR0qpgQtl0bxArCGjD+vOhP29hkJ7Mv6FradgjPmyMSbPGJNojCkwxjxujGkwxiw0xpS6/3vS4/wfG2PONcZMM8a8HK52KTWShXvxmHWhvWr1G+z6pCmqF6rFQk8mEnRFs1IjSLgXj3leaNdvq6FyQWnULlTTkhv+RUv2kVJqGIR6zYEvzwttbWM7T289zIrLSijLz6A0Nz2qso90Twj/tKeg1AgTqqJ5/iZpfYenahvbefzNakpz04f0XuGgJTf8056CUmrAPCdps1KTuK68gKkT0pk5KaPfezpEeg1DuHtNsUqDglJqwKy5g6zUJHuvBSs4zJqUybPfmEdrV0/Ai320ZP7oSu3edPhIKTVg1tyBtdeCFRzWbKmm4ultLHtsK6dauwLeeWvmT/TSoKCUGjBr7kAEr+AQ6CLvO/+gmT/RS4ePlFIDZk3S7jvW5BUcPFkX+eKctF5DRY8tLw+a+RPp+YZIv38kaVBQSg2YNUk7Iy+dopw0jje1B7zI+xsquvuF91m1tIw71u/sNSEd6fmGSL9/pOnwkVJqUBwOoXjcGL5QNonicWmsXOh/oZq/oaLDDW3kj01mY+V81lZczMbK+fZFN9LzDZF+/0jTnoJSakiOnGrl28+6MpFWXFaCCDgEZuSl43BIwEVi2Wmj/Wb+DEd9pmAi/f6RpkFBKTUk1kW0trGdR14/YB+/9NwciseNsecf/K1dcDoNR062UNfUQWdPDxmjE3GIRGylsdNp6O4xI3qlswYFpdSQ9FUuItAiMYDX9tWxv66Zte8eYVl5oZ3eunJhKQ9t3t/nArhQO9TQwt0vvE/lglI7myo50cGqpWUjZqWzBgWl1JAE6wlY/C0Sq65vZmdNI2u2VLPishL7Ilzb2M6v3zpMxeUlXHDOWIpy0vqd/TPUrKG6pnYON7TZNZtEwBjIH5s8IiaZQYOCUmqI/PUECrNS+7w41zW14zSu8XrflNbaxnZWbz7A2oqL+z2OH4qsIavX4zkUlpzoYOnckbNlvGYfKaWGzLPIXnFOGq/ureOq1W/w5cfe5qrVb7Bp97Feu5rlZiSTIHhlLHka6Dh+KLKGtEieBgWlVIj15+LsdBocAlNz01m5sJSX3js65L0XAmUN1TX1f5W01evxlyo7UujwkVIqpPpK6fStsPq1S4u4/+pZOIQ+C+kFk5o0yu+Ed2pSwoDaP9KL5GlPQSkVUn1t+XnwxNmeRG1jOw+8vI97XthFenLioAMCQGdPT6/eRuWCUrp6nH08U3nSnoJSKqT6Wpewt7bJ624+LzOZZeWFLFuzdUhlJXLSRvNs1RGvrKFnq46weNbEcPyYcUuDglIqpIJtXlNd38z+42e8hnkCVVg9r3J+0CEc3/TTwqxU7lg8vV8b/KjANCgopULG90J9UXGO191+XVM766pqvBaHJTgCV1gNFBQCpZ8ump7LppXzqWvqoKWzm6LsNLtNDS0dJCU4aO0c/BDVSKBBQSk1aJ5BIC8zmT21ZwKuE3A6DalJozjV2um1OGxqbvqAy0oEynDatHK+VxuKclK4bUEp//7afnvF9EisfDoQOtGslBoU627dWo/wu78eDZiKap1buXY7lQtKSRrluhA7BMalJfGL64KvDejudvLex6fYtKuW9z4+zbHGQOmnHV5tWFKWz93P72JJWX6vIapVm/by/tHT9sY/vusoRirtKSilBsX3bt1anezJczc169xNu2qpuPxc7t+wh/YuJy/sOMo/LJrG7Z8tJW9sKq2d3WSmjHKtZXAI3d1Onn/vKHc/v8u+y//lV+b67V20dHZ7HbNWSo8e5RjQ5PZI3mRHewpKqUGx1iPkZSZzy5VTmOYeBvJkDQN5rl2YP3WCHRDAdTf/81f30e2Ef/zte/zbH/fz9sGTbNxdy0fHm9n9SaMdEMB1kb/vpd385Iuze/UuirLT/LZh8jjv48G2D/XtAQVakR2vIhIUROSQiLwvIjtEpMp9LFtE/iAi+93/zYpE25RS/ZObkUxRTgrL5xXx+JvVPLBxb8CNdjzXLvjWORLBHt7JSk3iW5eXAPBhXTMvvneUI6fa/G7SMzZ1VK+Vx5PHeZepeOm9o/zomlnUnm71WsMQbHJbN9mJnCuNMSc8vr8T2GyM+amI3On+/o7INE0p1ZfinDTuv3o2FU9XeVU3vf2zpczMz6Sj28nknDQOnmjhZGuHvf0m0Gvox7pIf/WSIlq7elizpfrsfs5f9b+fc6BNevwV59td20Tl2u325HbphMCT2yN9k51oGj66GnjK/fVTwDWRa4pSqi8Oh5CYIL0uoN1OWPFUFT94bhebdh/j60+9Q9WhU6QkJvDY8nLmFWexammZ1938BeeMJTnRQUFWqr2PArguxg/9cR//fPUsrx7Ij66Zxcy8TK/3dToN1fXNvH2wAYCLinMoGT+GUaMczM7P5I7F09mw8yjGQO3pVn7sZ/ipOCeNCemBV2Rb7xHPk9OR6ikY4FURMcCjxpg1QK4xphbAGFMrIhMi1DalVD/5brDjOVZ/7dwC1r57hK9fOpnWrh4q1/7Vvvt/+MYL+P1t86lvdt3NF2SmsGppGW0+E8UAR093cO74VH79tYs40dJBfmYKMydlMmrU2Qt3X2WzHQ5h0fRcunqc3LF+p52uumZ5OYkJYk8mO52G/cfP+N3kpzArdciluWOBGDP8kU5EJhljPnFf+P8A3Aa8aIwZ63HOKWNMr3kFEakAKgAKCws/dfjw4WFqtVLKl+/FuHLhFFZvdu1DcOuCKRjjGhqyhoMsyYkONrpXLHsuLksQ4cb/ets+tyw/g2UXFdoT01ZAmZwzhuNnzmYGHWpo4arVbwR8D3Bt6uN7TlFOCqtvuIDWzh7yMpOpOd3GzU9VkZWaxN99poSicWmcauninOwUMpMTWfLwm0HfY7C/w+HOdBKRbcaYcn+PRaSnYIz5xP3f4yLyHHARUCciee5eQh5wPMBz1wBrAMrLy+Ov76ZUDPC8kM3IS7fv+lMSR3kFgARH8FTV4pw0r6BSlJPCj66Zxd3P73JdmK+Ywnc8Jn2zUpPYX9fMrc/81etufWxKYp/zAL5zBb5pqXd9bhrZY0bT3uVk/JgkEhMS+ObT27y25Az1XEN/NwYazsAx7HMKIpImIunW18AiYBfwInCT+7SbgBeGu21Kqb75pmwufugN9tWd4aLiHGbnZ9rZP+u31TA9L8NrIx1LcqKDiRnJvH/0tFemT2e34WRzB4/fVM6D15/P3mPexfOunVvQa85h1aa9dPU4A76HNQdgldb2fC3PtNS8sal8fLKV5EQHN19+Lv+0YbfX+1TXNw95IyBf/d17YtPuY3ztyXd480ADz+84yp8PnKC7OzzVXyPRU8gFnhMR6/2fMcZsEpF3gXUisgI4AlwXgbYppfoQ6EJmFbCzsn9OtnSQNjoBp9P0GqN/+MYL2FN7hg/cF/28zGS+ekkRGSmJ3L9hD1mpSXx30VScxjtTyTedFVzprPe+uMurnlJyooN/WzanV8kLqxfir+ZSa0e3XZfJc24jLzOZa+cWkJKUwI+/OJsfPPd+yAru9SfT6VBDC6s27bXLdGSlJgFwqq2TmXmZTB4X2l7DsAcFY0w1cL6f4w3AwuFuj1JqYPq6kDkcQnFOGh8cO8Ptj+9g6oQx3LqglEeXfwqMITMliY5uJzc98w43zy+hKCeFZeWFtHX12IHj2rkFfHyy1d6RzS6eJ/7TWQ83tHnVUzIGctKSWP7EO/a5hxva+PfX9vNsxTzaunp6DXWdaOmw6zKtWurKTMpKTWL5vCL7/f1NTg/lguw7UQ+9ex91Te1e6zg82xOOyW4tc6GUGpD+XMisjXSyUpNYPCuPyrV/JSs1ia9eUsRDm/dz8/wS2rucrN9Wwz1LZnD7uh32MYDRoxz85p0jLJ9XZO+RkJmcwPmFWUzNTWdf3RmcBhIELpqcTXKig9rGdh55/YDdnk8VjfW76K2tq4d5JeNwOo3Xvg/rqj62exI/f2UfP/z8TGob27yGmA43tFHxdFWvyeXBjvkH23vC8/dt9WoGW2Z8IDQoKKUGpK8LmedGOr4pqp7zAdaF/MDxZq9jWalJzMhLt+/ar51bQHpyAmnJifxs016WfqrQa3Hb7IJMv+2xSl4ECl7+9n0ozEplbmEWx8+4qr5+eKy5z+Eda8x/1aa9LCnLJ8EBFxZlc0lJjlfarD9WquyzFfOobWwnLzOFmXkZXgGlOCeNC4tcgc/f8FmoF9ZpUFBKDUiwTXTANQZubaTjeRHz/Hr9NtfY/bNVR+y6RNYxEVf6qDUP8bvtNfzgqun87NUPvDbRAVc20s6aRi4szuLZinleeyUAXsGiKCeF+6+eTV2Tq0Cf1WbfVdGe3/c4ew9X+faKfMf8PbOVPl82KWiPwek0vLq3Lmj2kcMhXFKSw6qlZfZkd7D2DFVE1imESnl5uamqqop0M5RSHt766AS3r3uP5fOK6Oju4VH3Xf2tC6bwX2+cHcO31iCs2fKR1yTqXVdNZ1/dGdZvq7Enn+ua2ulxuuYPrHUQeZnJfsfXF03P5cipVnuPhx4nnGrt4OjpdnvhWn/H4vuTMvrWRyd480ADj78ZeC1GIP7WTiQnOti0cj5Og9fGQHmZyRgDf/34NHf5THYPdE4h6tYpKKXiV25Gsj3089VLirhnyQzu37CHLfuO21+3dzm54ryz1VKtSeIEB2SnJpIgcKq1k+aOHnsOwlrzYN0pW0NTWalJXDu3ABGoOdnCxl21fM/j4v/wjRcwPm20HRDg7Fj8DPfF13cuINA6DN9ekfXzJjjwage4ekN97R53qKGl13DQ1Alj2H7kNA9t/tDvxkBfKJvEnHPG+u2lhYIGBaVUSHnOOazatI+inBR+9bcXUtvYzkObP7Qv/tMnZtgXRM9J4vV/dwk5aUmsXFhKj9PYE9L//IWZ/GjjHjsbSYRe2TiVC6fYAQHOLnbb2dXY6+KblZrE9iNn77qt4aWUJAefDKBXUZyTxqUlOaQkJvDQZleQuq68gO8umkpq0tl9ITxZPZB9x5q8hoPyMpPtBXsrLivxO6ls9T7CVZxPg4JSKqT8zTkYA1978l3au5z2xX/lwil+x8dz0pKYlJXCsdNt5Gel2hPSNadaueHCQta+68pGOm9iOteVe2fj+K6etia3b55f0uu9risvsAOCtbq54ukqVlxW4jUU1FeGj8MhjBsz2g4IfaWMOp3GXrSXlZrklXJ7XXmBvWBvOCaV/YmmKqlKqThhTeDOKxlHyXhXnSLfC9y6qhoe8FOptDA7jQXTcpldMJb7Xtpt74PQ0NrFr986zJKyfNKTE0hMcDBl/Jher+u56ti6sFqT2J7vNXVCuv1czyypYBfjQOqbO4KmjForlK0ewuYPjtPe5So3bg2d3bpgCjPyMuwhMt+fxfo+lJPK/mhPQSkVEsFy9f2tbTjV2sncwrFsDJDF1NrZ47UobVquK031d9trWD6viAc27uGBa2Z7ve76bTXc/jdTefAPH3otdvO8+CY4YOF5ExjjLnvhLxD468FYJTOC/XzW61iroK35hZMtHZSMH2OvBvfsuVhDZ8mJDp6tuISfvLzXzszyXaU91BXU/aHZR0qpIesrS6e/hd88+WbmWNlKdU3trNlSbS9o63bCs1VHWFKWT2ZyAnljU6g93Ube2FScxkm3k16lKRZNz+VP+4+zv67ZHl6yMqP8ZTU9fOMFAOysabQXzc0uyGTBtFx7H+nf76qlur6Z53ccDZie+vbBBr782NtBM6de3Vtnr3nITE5gdsFYgJAWwguWfaRBQSk1ZIFSKz1TMq2eRH+zZjwDibUaeu27R/j7z0zhjt+9z60LpgCw9aN6vjj3HO7fsIcVl5WwYaf3RbkoJ4V/+sIsRo9y9Cq1bb1uyfgxNLZ2cu+LriJ45UWZfHfRebR1dZOdOpoep+GdQye96jetXFjK52ZNpDA7zV68dsOFhZTmpnPrM9v9/i4AvvbkO/YQWP7YVA43tDC/dByz88d6ZT6FK7sINCVVKRVm/Sns5m+hWDCeE9b1Zzq46VeuOkYfn27z2rXNc0Gb737P1hDOh8ea+PSUcdSf6XCN73tMSBsDK91lOCouL2FWfiZtnT384tUP+PLFRew71sw5/naE27yfuYVZ9Dix33/Vpn3c/jdTvX4X1lDSh3VnmJ6Xzm0LSu2ifJ67yHkuVgtndlFfdKJZKTVk1pi6p1BMiloXSKcxvVZDv/Seq0dQXe9disJaM7B8XhGPv1nNln3HyUkfzZb9J7jpV+/w9SereK/mNMmJDq+J4drGdlZvPsCuo408+Id9fP2ycznc0MpDm/fT0tF7R7j2LiddPT12SY+8zGRuuXKKvUIbzi6we/zNar7139tZv/2oHRCs17j7+V0cOdU6pN9TKGlQUEoNmbU2wd+ex6HgGXSsSeOr5+RTVpDBJSU59mPrt9UwfWKGnaqalZrEt66YYl/crYvxuqoaVi4s7VU+G1xprUvK8l17MLt7FCdaOvwGvfTRiew/foainBT74v/Axr2sXFjaK+hYrz3QzKbhpkFBKTVk1lDPxsr5rK24mI2V80Naztk36Jxq7aSsIJO8zFScGFYtLbOzjB5/8yOmjB9DVmoS9y6ZwQfHmrwuxtbeDSXjx3DJua6AUpafwaPLP8UTN5Uzb3I2CQ4oykmzs5f+e+sRvvPZqb2CXmtXD+uqarhj8XSvHsev3zpMxeUlzJyU3isIRCLNdCB0TkEpFRLhHAv3XRCXl5nMjo8b+d///oY9mWztc5CXmUx9czt/95kSWjq77WwhqwLrty4vobWrx55H+OcvzCBxVALV9c2sffcIX790MtPzMvi4oYXs1CS7MN+TfzlExeUlTBk/hpmTXJvbHGpo4VRrp1elV8Aeinr2m/N6pcz6bjg0HGmmAzEiewpOp7G36Kuub8bpjN0MLKXiib+/TevY2wcbACgvzOZwQ5tXLaPDDW3c88L7pCYlUNfUQcOZLk60dNob9VgX9+vKC2ho7bQvyrWN7WSmJHHwRAsPbd7PkrJ8frLpA375+gHOnZDOE385CMDPvnQ+315YSkpiAmUFmZw74exmQg9eP4ceZ+/tQItyUkhLSvBaoHeqtZPS3DH8/rbw9KhCYcT1FAaTL62UCj9/f5sP33gBnd3GTku9rryA8qIsdtY09hoOykhJZNmardw8v4RzxqbgNK478+XzinjiLwe54cJCpuWm81G9dxG6ti6nPbxkLT7bebSJh/74IRWXn8uaLR9xw4WFnDt+DJPGplBd30KPE3sbzMUzJzIjL52inDSvOkq3LSjlS//5lp3VNDU3nekTM+znnTshMtlFfRlxQaGv/WWVUpHh729zZ00ja7ZUe9UUcs53rW723C7TcyvPlEQHmamJfNLY5rVRjwgkJyZQMt57853stEQSTniXlrACA+8coXJhKT09TuqbO+yqrr5luhvbOimdMIanV1xEW2cPDhFu/nWVV1aTtVYh2m8+R9zwUbB8aqVU5Pj727Tu4H2zeGpPt1K5oNTOMrLOK8vPoCgnFacxTJuYzg8/P5NTrZ088voBWjt7+OcNuxkleNVBOtLQQvG4NFYuLGXrR/Xcs2SG/dgV502g4UwH6clJdkAA3GsS9vL7XbV877c7OHSilb8eOUXVoVNUPL2NrQdPxux1ZsT1FPqzv6xSavj5+9u0Joh9d227d8kMfrppL3//mSn28aKcFL51xRQ+ONbEmi3V/MOiqXa9IxHIz0yhs9uQNjrR3vdZxBV4Ro9yMD0vnQkZyaz2Ke/d7TR25VJPS8ryuWP9Tv7lS+dz4PgZAHubUOh7x7ZoNeJ6CuHOp1ZKDY6/v01r/2UrOFjqz7Rz65WlfNLYZm/leefi6V7pp6fbujnc0MYjrx/g4dcO8PHpNldp6tpGlpUX8vib1azfVkNLZw+rNn1AW6eTHzz3vv2c1ZsP8MGxJtrcGUy+E8kp7ot+W4frcc+0V2uBXVFOCrdcOYXKhVN4bHk5hVmpw/cLHaQR11Poa39ZpVRkBPrbBOyJXGs3sgde/oCs1CS+dmkR9189i4df309bV49X+inQKx30u4umcqjBlZFk7cnwj799j/YuJ01tXX7Le//sS2U88qcDXhVLi3JSmDkpg+REB6mjR5HgvnxY8xzXzi1gTHICt15Zyj0v7CIrNQmAxrYupuednWyORiMuKEDka4sopfwL9LdZPG4MhdlpnDs+jWVrttoTuA+87NrZ7RfXzeGN/fW89N5Rvn7pZFYuLGXtu0fsEtRLyvJdC9KyU/n31/Zz40VF/OsfP+Tm+SV2IEgdParXkE/SKKGprYuvXFzE/337sF2Z9fxzsvje+veoXFDKU3+p5isXF3OmvYu7PnceLZ2uSW/XZj0f9GvjnWgy4oaPlFKxyeEQWjt7et3NH25o42RLB+uqalhWXmivLfjHRecxMz+dby+cyoadR0lJTODIqVZWfHoyKYkOKi4/m8UEcPR0q12eAlx3/Xcuns7t//Mev/rzIbuyaVpyIn/+6IS918PFJeM509HFlNwxTJuYbmdBWfMgfW28E200KCilYoa/wntFOSmMHpVgp58uKcunpbOHD4+fISsliX9zDzm1dfXwg+d20dTezQMvf8DqzQd4YONeOxPpqb8cJi0pgYrLXbugVVxeYhfiszbCOdPew/0b9thzDNbxe1/Yw9efrKLFJ2j5TpJbojkTKeqCgogsFpF9InJARO6MdHuUUtHD32T0/VfP5t4Xd1G5oNROP/2vN6o5d/wYWjp77FLa1kSw54Sw545s931+BpdPHc/V5+dz2ZQcrpmTz3kTM/q9veeD18+hKPtshVTrHN9Jcuv8aM1Eiqo5BRFJAB4B/gaoAd4VkReNMXsi2zKlVDTwNxld19TutW2niGuPhPyxyWSnjfaqhFqUk0LphDFecweuInrVbKycT/E411yGtdrY6TQ8eP0ce1FdsO09Z+ePBbDPr21s59mqI/z02jKv1c7RnvEYVUEBuAg4YIypBhCRtcDVgAYFpRTgfzLacyjH+n7p3HyKc9K4sCjbTlu9x72+wXfv41VLy/xepH2D0MSMZKZNzLAv+o+/Wc2D18+xd00DAmZQzTlnbExkPEZbUMgHPvb4vga4OEJtUUrFAGtIybeemXXhvaQkh1VLy7hj/U4OHG8O2KsIdJH2DUKF2WlBU9oDZVDFSsZjtAUFf5+KVwlTEakAKgAKCwuHo01KqSjW19qjUaMcfL5sErPzM6lv7gjYqxjI+8XKBX4wom2iuQY4x+P7AuATzxOMMWuMMeXGmPLx48cPa+OUUtHJulDPKxlHyfgxve76rccvLMrWigZ9iLaewrtAqYhMBo4CNwA3RrZJSql4oRUN+hZVQcEY0y0itwKvAAnAE8aY3RFullIqjsT78M9QRVVQADDGbAQ2RrodSik1EkXbnIJSSqkI0qCglFLKpkFBKaWUTYOCUkopmxhj+j4rSolIPXDY53Am0NiPYwDjgBNhaNpABWrfcL/eQJ7Xn3ODnTOYx/wd189w8M8b6mfY1+P6txi9n2ORMcb/Qi9jTFz9A9b055j7eFWk2xusfcP9egN5Xn/ODXbOYB4L8NnqZxihz3Awn6P+LUbn5+j5Lx6Hj17q57FoEur2Dfb1BvK8/pwb7JzBPBbNn+NI/Az7elz/FmPnc7TF9PDRUIlIlTGmPNLtUIOnn2F80M8xesRjT2Eg1kS6AWrI9DOMD/o5RokR3VNQSinlbaT3FJRSSnnQoKCUUsqmQUEppZRNg4KbiKSJyFMi8piIfCXS7VGDIyIlIvK4iPw20m1RgyMi17j/Dl8QkUWRbs9IE9dBQUSeEJHjIrLL5/hiEdknIgdE5E734WuB3xpjvgF8YdgbqwIayOdojKk2xqyITEtVIAP8DJ93/x3+LbAsAs0d0eI6KABPAos9D4hIAvAI8DlgBvBlEZmBa+vPj92n9QxjG1XfnqT/n6OKTk8y8M/wbvfjahjFdVAwxmwBTvocvgg44L6j7ATWAlfj2h+6wH1OXP9eYs0AP0cVhQbyGYrLKuBlY8z24W7rSDcSL375nO0RgCsY5AO/A5aKyC+J/qX4KsDnKCI5IvKfwAUi8v3INE31U6C/xduAzwJfEpFvRaJhI1nUbcc5DPzt0G2MMS3A14a7MWrQAn2ODYBeSGJDoM9wNbB6uBujXEZiT6EGOMfj+wLgkwi1RQ2efo6xTz/DKDQSg8K7QKmITBaRJOAG4MUIt0kNnH6OsU8/wygU10FBRH4DvAVME5EaEVlhjOkGbgVeAfYC64wxuyPZThWcfo6xTz/D2KEF8ZRSStniuqeglFJqYDQoKKWUsmlQUEopZdOgoJRSyqZBQSmllE2DglJKKZsGBaWUUjYNCiruicgVInLpIJ5XLiJ91uARkb8MrmX9bschERkXzvdQyjISC+KpOCAiCcaY/u57cQXQDPS6eIvIKPfK2l6MMVVAVV8vbowZcMCJhGA/q1IW7SmoqOTeHvX3IvKeiOwSkWXuO+Z7ReRN4Dr3rl3b3edsDvA6xbiqpn5HRHaIyHwReVJEHhSR14FVInKRiPxFRP7q/u8093OvEJEN7q/vc+8e9icRqRaRSo/3aPY4/08i8lsR+UBE/q+IiPuxq9zH3hSR1dbrBmhzjoi86m7Po3hUExWR/yMi77h/lkfdG9UgIitE5EP3+z8mIg+7j/v+rOeKyCYR2SYib4jIee7zxovIehF51/3v04P+8FRsM8boP/0Xdf+ApcBjHt9nAoeA77m/H4+rFv9k9/fZQV7rPuAfPL5/EtgAJLi/zwBGub/+LLDe/fUVwAaP1/gLMBoYBzQAie7Hmj3Ob8RV7dOBq9bPZUCyT1t/Y71ugPauBu51f/2/AeN+z+m49vqw3vc/gK8Ck9y/m2wgEXgDeDjAz7oZKHV/fTHwmvvrZ4DL3F8XAnsj/f+A/ovMPx0+UtHqfeDn7h24Nhhj3nDfdD/rfnwesMUYcxDAGOO7q1df/secHX7KBJ4SkVJcF+DEAM/5vTGmA+gQkeNALq7yz57eMcbUAIjIDqAY19BVtdVWXEGhIkjbLse1ZzjGmN+LyCn38YXAp4B33b+LFOA4rh3M/p/1OxCR/wGm+v6sIjIGuBT4H/fzwRXkwBUMZ3gczxCRdGPMmSDtVHFIg4KKSsaYD0XkU8BVwE9E5FX3Qy3u/wquC/hgtXh8fT/wujHmi+7hpj8FeE6Hx9c9+P/78XeOv81k+uLvZxPgKWOM145yIvLFPl7L+lkdwGljzBw/5ziAS4wxbQNtqIovOqegopKITAJajTH/DfwcmOtzylvAZ0Rksvv87CAvdwZID/J4JnDU/fXfDqrBwX0AlLgDDsCyPs7fAnwFQEQ+B2S5j2/GtUXlBPdj2SJSBLyD63eRJSKjcA299WKMaQIOish17ueLiJzvfvhVXGWscT82Z0A/oYobGhRUtJoNvOMegvkB8CPPB40x9biGYH4nIu9xdljJn5eAL1oTzX4e/xdcvZE/AwmhaLxPW9uAvwc2uSfJ63DNPQTyT8DlIrIdWAQccb/OHuBu4FUR2Qn8AcgzxhwFHgDeBv4I7Any+l8BVrh/Z7uBq93HK4FyEdkpInvQLU1HLN1PQalhICJjjDHN7mykR4D9xph/DcPrjwKeA54wxjwXqtdXI4f2FJQaHt9w93p24xquejTEr3+f+/V3AQeB50P8+mqE0J6Cihsi8jVgpc/hPxtjbolEe/oSa+1VI4MGBaWUUjYdPlJKKWXToKCUUsqmQUEppZRNg4JSSimbBgWllFK2/w91WkO4R4wbSQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import seaborn as sns\n", - "test_triples_prot_as_src = test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT]\n", - "prot_degrees = test_triples_prot_as_src.groupby(['src_training_degree'])[COL_EDGE].agg('count').reset_index()\n", - "sns.scatterplot(data=prot_degrees, x='src_training_degree', y='rel')\n", - "plt.xscale('log')\n", - "#plt.yscale('log')" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "id": "6b9fb1d8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import seaborn as sns\n", - "test_triples_prot_as_src = test_triples_by_node_endpoint_to_predict[COL_TARGET]\n", - "prot_degrees = test_triples_prot_as_src.groupby(['tgt_training_degree'])[COL_EDGE].agg('count').reset_index()\n", - "sns.scatterplot(data=prot_degrees, x='tgt_training_degree', y='rel')\n", - "plt.xscale('log')\n", - "#plt.yscale('log')" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "id": "00f1862a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plot, ax = plt.subplots(1, 2, figsize=(10,10))\n", - "sns.boxplot(ax=ax[0], y=test_triples_prot_as_src['src_training_degree'])\n", - "sns.boxplot(ax=ax[1], y=test_triples_prot_as_src['tgt_training_degree'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "32f88dbe", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "b39d144b", - "metadata": {}, - "source": [ - "define logic" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "e0a43dd1", - "metadata": {}, - "outputs": [], - "source": [ - "from pykeen.triples.triples_factory import TriplesFactory\n", - "train_triples=triples_dict.get(TRAIN)\n", - "valid_triples=triples_dict[VALID]\n", - "\n", - "def compute_metrics_over_triples_with_ent_node_endpoint(model_id, \n", - " test_triples_w_node_degree_df, \n", - " test_set_slug,\n", - " node_endpoint_type, \n", - " train_triples,\n", - " valid_triples,\n", - " restricted_rels_by_node_endpoint_type_dict):\n", - " col_node_degree = f\"{node_endpoint_type}_training_degree\" # if predicting head, this should be the 'src_training_degree'\n", - " evaluator = RankBasedEvaluator(filtered=True)\n", - " model_base_path = model_registry_paths.get(model_id)\n", - " model = load_kge_model(model_base_path=model_base_path)\n", - " print(f'loaded model from {str(model_base_path)}')\n", - " additional_filter_triples = obtain_filtered_triples(test_type=test_set_slug,\n", - " train_triples=train_triples,\n", - " valid_triples=valid_triples\n", - " )\n", - " \n", - " test_triples_with_ent_node_endpoint_df = test_triples_w_node_degree_df.loc[test_triples_w_node_degree_df[COL_EDGE].isin(\n", - " restricted_rels_by_node_endpoint_type_dict[NODE_ENDPOINT_TO_PREDICT])]\n", - " ent_degree_values = test_triples_with_ent_node_endpoint_df[col_node_degree].unique()\n", - " result_dicts = []\n", - " \n", - " for degree_val in tqdm(ent_degree_values): \n", - " df_subset = test_triples_with_ent_node_endpoint_df.loc[test_triples_with_ent_node_endpoint_df[col_node_degree]==degree_val][[COL_SOURCE, COL_EDGE, COL_TARGET]]\n", - " triples_subset = df_subset.values\n", - " triples_subset = TriplesFactory.from_labeled_triples(triples_subset, \n", - " relation_to_id=train_triples.relation_to_id, \n", - " entity_to_id=train_triples.entity_to_id)\n", - " if triples_subset.num_triples > 0:\n", - " subset_result = evaluator.evaluate(model,\n", - " triples_subset.mapped_triples, \n", - " additional_filter_triples=additional_filter_triples,\n", - " use_tqdm=False)\n", - " result_dicts.append({'ent_degree': degree_val, 'results': subset_result, 'relation': 'All', 'count': triples_subset.num_triples})\n", - " return result_dicts\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "id": "4eeb853e", - "metadata": {}, - "outputs": [], - "source": [ - "def extract_relevant_metrics(metric_name, results_by_node_degree_dict):\n", - " degrees = list(results_by_node_degree_dict.keys())\n", - " metrics = []\n", - " for deg, metric in results_by_node_degree_dict.items():\n", - " metrics.append(metric[metric_name])\n", - " return degrees, metrics\n", - " \n", - " \n", - "def plot_metric_vs_degree_scatterplot_single_model(model_id,\n", - " metric_name='hits_at_10', \n", - " results_by_node_degree_dict=None, \n", - " figsize=(7,7),\n", - " entity_type_examined=None, \n", - " ):\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " degrees, metrics = extract_relevant_metrics(metric_name, results_by_node_degree_dict) \n", - " plot, ax = plt.subplots(figsize=figsize)\n", - " sns.scatterplot(ax = ax, x=degrees, y=metrics)\n", - " plt.xscale('log')\n", - " plt.ylabel(metric_name)\n", - " plt.title(f'Average {metric_name} predicting {entity_type_examined} nodes Vs. {entity_type_examined} node degree | Model: {model_id}')\n", - " plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{model_id}-{timestr}')\n", - " #return degrees, metrics\n", - " \n", - " \n", - "def plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', \n", - " results_by_node_degree_dicts_combined=None,\n", - " entity_type_examined=None,\n", - " ):\n", - " result_dfs = {}\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " for model_id, result_dict in results_by_node_degree_dicts_combined.items():\n", - " degrees, metrics = extract_relevant_metrics(metric_name, result_dict)\n", - " result_dfs[model_id] = pd.DataFrame(np.column_stack([degrees, metrics]), columns=['degree', 'metrics'], dtype=float)\n", - " model_ids = result_dfs.keys()\n", - " concatenated = pd.concat([result_dfs[model_id].assign(dataset=f'{model_id}') for model_id in model_ids])\n", - " plot, ax = plt.subplots(figsize=(10,10))\n", - " sns.scatterplot(ax=ax, data=concatenated, x='degree', y='metrics', hue='dataset')\n", - " plt.xscale('log')\n", - " plt.ylabel(metric_name)\n", - " plt.title(f'Average {metric_name} predicting {entity_type_examined} nodes Vs. {entity_type_examined} node degree | Model: {list(model_ids)}')\n", - " plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{list(model_ids)}-{timestr}')\n", - "\n", - " #return degrees, metrics\n", - " " - ] - }, - { - "cell_type": "markdown", - "id": "d27ef02a", - "metadata": { - "tags": [] - }, - "source": [ - "#### predict on bioblp-p" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "deda5f8e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/bioblpp-cttc3ucm\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 253/253 [1:04:19<00:00, 15.26s/it]\n" - ] - } - ], - "source": [ - "MODEL_NAME_SLUG = BIOBLP_P\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "results_by_node_degree_bioblpp = compute_metrics_over_triples_with_ent_node_endpoint(model_id=MODEL_ID,\n", - " test_triples_w_node_degree_df=test_triples_prot_as_src, \n", - " test_set_slug=TEST_RESTRICTED_PROT,\n", - " node_endpoint_type=COL_SOURCE,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " restricted_rels_by_node_endpoint_type_dict=RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "id": "49420f6e", - "metadata": {}, - "outputs": [], - "source": [ - "results_by_node_degree_dicts_bioblpp = {}\n", - "for result in results_by_node_degree_bioblpp:\n", - " results_by_node_degree_dicts_bioblpp[result['ent_degree']] = make_results_dict_all_rel(result['results'],\n", - " relation=result['relation'],\n", - " relation_count=result['count'],\n", - " triple_endpoint='tail',\n", - " metric_type='realistic'\n", - " )\n", - "#results_by_node_degree_dicts_bioblpd" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "c2d16364", - "metadata": {}, - "outputs": [], - "source": [ - "results_by_node_degree_bioblpp = results_by_node_degree_bioblpd" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "0bfdee3a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing results to metrics/bioblpp-cttc3ucm/node-degree-eval.json\n" - ] - } - ], - "source": [ - "\n", - "WRITE_TO_FILE=True\n", - "if WRITE_TO_FILE:\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - " eval_out_dir.joinpath(timestr)\n", - " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", - " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", - " print(f\"Writing results to {str(eval_out_file)}\")\n", - " with open(eval_out_file, \"w+\") as f:\n", - " json.dump(results_by_node_degree_dicts_bioblpp, f)\n" - ] - }, - { - "cell_type": "markdown", - "id": "1538b10f", - "metadata": {}, - "source": [ - "### predict on rotate" - ] - }, - { - "cell_type": "code", - "execution_count": 163, - "id": "70cec981", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "loaded model from /home/jovyan/workbench-shared-folder/bioblp/models/rotate-otxtubeb\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 253/253 [1:05:45<00:00, 15.59s/it]\n" - ] - } - ], - "source": [ - "MODEL_NAME_SLUG = ROTATE\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "results_by_node_degree_rotate = compute_metrics_over_triples_with_ent_node_endpoint(model_id=MODEL_ID,\n", - " test_triples_w_node_degree_df=test_triples_prot_as_src, \n", - " test_set_slug=TEST_RESTRICTED_PROT,\n", - " node_endpoint_type=COL_SOURCE,\n", - " train_triples=triples_dict.get(TRAIN),\n", - " valid_triples=triples_dict.get(VALID),\n", - " restricted_rels_by_node_endpoint_type_dict=RESTRICTED_RELS_FOR_EVAL_BY_NODE_ENDPOINT_TYPE,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 165, - "id": "11a837fb", - "metadata": {}, - "outputs": [], - "source": [ - "results_by_node_degree_dicts_rotate = {}\n", - "for result in results_by_node_degree_rotate:\n", - " results_by_node_degree_dicts_rotate[result['ent_degree']] = make_results_dict_all_rel(result['results'],\n", - " relation=result['relation'],\n", - " relation_count=result['count'],\n", - " triple_endpoint='tail',\n", - " metric_type='realistic'\n", - " )\n", - "#results_by_node_degree_dicts_bioblpd" - ] - }, - { - "cell_type": "code", - "execution_count": 166, - "id": "2a46717e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing results to metrics/rotate-otxtubeb/node-degree-eval.json\n" - ] - } - ], - "source": [ - "WRITE_TO_FILE=True\n", - "if WRITE_TO_FILE:\n", - " timestr = time.strftime(\"%Y%m%d-%H%M%S\")\n", - " # eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - " eval_out_dir = eval_out_dir.joinpath(timestr)\n", - " eval_out_dir.mkdir(exist_ok=True, parents=True)\n", - " eval_out_file = eval_out_dir.joinpath(\"node-degree-eval.json\")\n", - " print(f\"Writing results to {str(eval_out_file)}\")\n", - " with open(eval_out_file, \"w+\") as f:\n", - " json.dump(results_by_node_degree_dicts_rotate, f)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "76985caa", - "metadata": {}, - "outputs": [], - "source": [ - "MODEL_NAME_SLUG = ROTATE\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "\n", - "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", - " results_by_node_degree_dicts_rotate = json.load(f)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0702ea05", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "af424686", - "metadata": {}, - "source": [ - "### Plots V2 - (improved 17/03) - Plotting the difference in LP scores by RotatE and BioBLP-X" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "74fe35fe", - "metadata": {}, - "outputs": [], - "source": [ - "MODEL_NAME_SLUG = ROTATE\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "\n", - "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", - " results_by_node_degree_dicts_rotate = json.load(f)\n", - "\n", - " \n", - "MODEL_NAME_SLUG = BIOBLP_P\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}/20230321-134444\")\n", - "#eval_out_dir = Path(f\"/metrics/{MODEL_ID}\")\n", - "with open(eval_out_dir.joinpath('node-degree-eval.json'), 'r') as f:\n", - " results_by_node_degree_dicts_bioblpp = json.load(f)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "7d82d2e5", - "metadata": {}, - "outputs": [], - "source": [ - "rotate_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_rotate, orient='index')\n", - "rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'})\n", - "rotate_df = rotate_df.astype({'degree':'float'})\n", - "\n", - "bioblpp_df = pd.DataFrame.from_dict(results_by_node_degree_dicts_bioblpp, orient='index')\n", - "bioblpp_df = bioblpp_df.reset_index().rename(columns={'index':'degree'})\n", - "bioblpp_df = bioblpp_df.astype({'degree':'float'})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "id": "29afa335", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblpphits_at_3_bioblpphits_at_5_bioblpphits_at_10_bioblppinverse_harmonic_mean_rank_bioblpp
067.01290.5426360.6124030.6279070.6589150.5910180.3100780.4108530.4186050.4418600.364500
161.01110.3423420.4234230.4324320.4954950.3916400.1441440.1891890.1891890.2072070.172978
251.01580.2658230.3481010.4113920.5000000.3394530.0569620.0759490.1139240.1708860.088043
\n", - "
" - ], - "text/plain": [ - " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", - "0 67.0 129 0.542636 0.612403 0.627907 \n", - "1 61.0 111 0.342342 0.423423 0.432432 \n", - "2 51.0 158 0.265823 0.348101 0.411392 \n", - "\n", - " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblpp \\\n", - "0 0.658915 0.591018 0.310078 \n", - "1 0.495495 0.391640 0.144144 \n", - "2 0.500000 0.339453 0.056962 \n", - "\n", - " hits_at_3_bioblpp hits_at_5_bioblpp hits_at_10_bioblpp \\\n", - "0 0.410853 0.418605 0.441860 \n", - "1 0.189189 0.189189 0.207207 \n", - "2 0.075949 0.113924 0.170886 \n", - "\n", - " inverse_harmonic_mean_rank_bioblpp \n", - "0 0.364500 \n", - "1 0.172978 \n", - "2 0.088043 " - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "merged_df = rotate_df.merge(bioblpp_df, how='inner', on='degree', suffixes=['_rotate', '_bioblpp'])\n", - "merged_df.drop(columns=['Relation_bioblpp', 'Relation_rotate', 'Count_bioblpp'], inplace=True)\n", - "merged_df = merged_df.astype({'degree':'float'})\n", - "merged_df = merged_df.rename(columns={\"Count_rotate\":\"count\"})\n", - "merged_df[:3]" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "1d506050", - "metadata": {}, - "outputs": [], - "source": [ - "merged_df['num_unique_ents'] = merged_df['degree'].apply(\n", - " lambda x: len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_prot_as_src, \n", - " degree=x, \n", - " node_endpoint_type=NODE_ENDPOINT_TO_PREDICT)))" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "58cee133", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "count 253.000000\n", - "mean 0.263196\n", - "std 0.253267\n", - "min 0.000000\n", - "25% 0.078014\n", - "50% 0.156028\n", - "75% 0.429078\n", - "max 1.000000\n", - "Name: proportion, dtype: float64" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "min_c, max_c, mean_c, std_c = merged_df['count'].min(), merged_df['count'].max(), merged_df['count'].mean(), merged_df['count'].std()\n", - "merged_df['proportion'] = (merged_df['count']-min_c)/(max_c-min_c)\n", - "merged_df.proportion.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "2221bf69", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblpphits_at_3_bioblpphits_at_5_bioblpphits_at_10_bioblppinverse_harmonic_mean_rank_bioblppnum_unique_entsproportion
231.0160.00.00.00.00.008280.00.00.00.00.00008520.053191
\n", - "
" - ], - "text/plain": [ - " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", - "23 1.0 16 0.0 0.0 0.0 \n", - "\n", - " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblpp \\\n", - "23 0.0 0.00828 0.0 \n", - "\n", - " hits_at_3_bioblpp hits_at_5_bioblpp hits_at_10_bioblpp \\\n", - "23 0.0 0.0 0.0 \n", - "\n", - " inverse_harmonic_mean_rank_bioblpp num_unique_ents proportion \n", - "23 0.000085 2 0.053191 " - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "merged_df[merged_df['degree']==1.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "47272b53", - "metadata": {}, - "outputs": [], - "source": [ - "from nb_utils.eval_utils import EVAL_METRICS_SHORTLIST\n", - "for metric in EVAL_METRICS_SHORTLIST:\n", - " merged_df[metric] = merged_df[f'{metric}_rotate'] - merged_df[f'{metric}_bioblpp']" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "a958d895", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.ticker as ticker\n", - "metric_name='inverse_harmonic_mean_rank'\n", - "#metric_name='hits_at_10'\n", - "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", - "plot, ax = plt.subplots(figsize=(10,10))\n", - "sns.color_palette(\"flare\", as_cmap=True)\n", - "#s_square = [n*n for n in props] \n", - "s_square = [n*n for n in num_unique_ents] \n", - "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", - "plt.xscale('log')\n", - "#ax.legend(title='# unique entities')\n", - "plt.ylabel(metric_name)\n", - "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTRIBUTE} entity being predicted')\n", - "plt.xticks(degrees, rotation='vertical')\n", - "\n", - "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", - "\n", - "plt.title(f'(avg_{metric_name}_rotate) - (avg_{metric_name}_bioblpp) \\n Difference b/w both models in {metric_name} when predicting {ENTITY_TYPE_W_ATTRIBUTE} as {NODE_ENDPOINT_TO_PREDICT} node, Vs. {ENTITY_TYPE_W_ATTRIBUTE} node degree')\n", - "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{MODEL_ID_bioblpp}-{MODEL_ID_rotate}')" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "35b5c29e", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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4ngZ8ZGZlePvFDc65tf5+cyJwPt5xtpm9DWO218t459HP8dZvBe1/hKEZ59x2vNpJ38NLjn+I1/BbUYsjBncx3o3Qz/DapPh2J4VZr6VzeDj7X2folO3hnCvBawviy2b2qzBGeRjvnPuF//frINNs7ZxRP51f4FW3n4J3I76lebY07DN4bSQsxmtg8Z4wlkNE9mH1rUKLiATll2otxWsdvaa14UVk/2BmXwfOd851pFaMiLSTmc3Ba7zvpyH6O2CUc251twYmIhGlEnwRaca8d18nmFlvvJKt55Tci+zfzGyQmR3pV48fjVea/FRr44mIiEj3UYIvIsFcg/fs4hq8Z1a/Ds1a6A78a6n6YI9jZneFWI62tKS+zzGzL4VY7rJIx1YvVHwWpEX4LowhKvbzLpCA13J9Kd6jBM/gPcs9pIXtNiSiEbfR/rrtzewnIZb7xdbH7no94dwVTfu5iEQ3VdEXERERERERiQIqwRcRERERERGJAl2S4JvZi2Z2acD3X5tZkZlt9r+faWb5frWmg7sihq7mxz689SGbjVdfxSu2K+LqTma2zsxOiHQcbWVmF5nZK5GOY19hZnlm5swsLszhE81suZkN7OrYImlf3f+7W1vOeW3d1zqTXwV4ZQv9IxZbe/hVzY/pAXF0yXHitwWwyt+3zujs6XdE02ugCMbxppld2YHx3+vMa7TWjrH2DhvGtP7PzK5t4zg97vzu/7Z+Zv7rMkMMM9vMHgrVv5Pi6NRzYXfEHK62HDP+OhjZ1THti8x7DPJnPSCOOWbW7E0W7ZxWh86n3a3NCb6/Q+/2f1S3m9nr5r2PtYFz7svOufv94XPxGuIZ65yrv+D/I3C9c66Xc25RRxciEvzYv2jHeBv8cWu7Ii5pnXPu3865Tnt3uTRzNfC2c25zpAPZH3XWRUc4F13hXATvK+c859w7zrmGV8/1tAv8tm5X59w459ybXRhSpN0M3OHvW0935Yzase4broH2VWZ2GlBaf43WGUlY02Oss4YNwx+Am8x7T/w+yzlXCdyL99rMdjOzbDMr6Jyo2jzvYyI1757GzH5sZm8H6Z5lZlVmNj4ScQXT1uTWOXetcy6c10pKF2lvCf5BzrleeO/hnQPcYWa/CDHsUGC7c25rk27L2jPjfaX0pKfpyTUGzKPHRbpIBI6Za4AHu3mePXof7wr7wrlwX4ixJ9B6apd2X0eEaz/fLtfShvN4T/4dd85tAj7De/d8RHXCPvUwcKmZJXZgGqcAL3UwDum4B4EjzGxYk+7nA0ucc0u7I4iefOzuD7rsd8Y516Y/wAEjm3Q7B6gA+vrf3wSuBE4AyoE6oAx4xP/vgN3AGn/4bOAJvFa71wLfCpj2bOA/wEPALn+6GcA9wCagEPg1EOsPPwt4F6+WQLE/vS8HTK8PcB+w0e//dEC/rwCLgRLgfWBiOOsB7ybHncB/8VoX/ggYEWK8PH/cuIB19SvgPX/cV4Asv99LeDUdAsf/BDjL/3wg8CqwA1gJnBcw3Bzg78AL/ro+Ae+kvtyfTyHw/fYse8A464DvA58CO4FHgSS/X2/geX+bFvufcwLGfRP4jb/c5cBIf718A1jlx/grYATwgb/tHwMSAqZxFbDaX/5ngewm2+daf1rF/vapb1RyFvBuwLDjAtbjFuAnrSz3bOBxvH2yFFgCHAD8GNgK5AMnBgzf0v46Aq816u1AEfBvIDOcddxCfMcABXh3+Tfj/YiEsz1C7Yd5NN5nz/bjGh9k3kP87RkX0O1UYJG/DfOB2QH9OnsfDzkvf5xLgPX++v6Zvxwn+P1igBvx3hywHW9/6xMw7sUB494UOG6Q9ZABPOCv7/XAT/3pJ+IdY+MDhu3nr7P+rR2L/jx/5O8PlYHr2e//NnvPr2XAV8OY5o/w9stSfx0fD5wMVAHV/nQ+CbKMD+Kd28v9YX4YsK9cAWzw46nvFnjOuwWYh7dPP1O/noMM29KxMxJ4y59GEfBoiG1xP/A9//Ngf/rfCJjGDsDwj5swlu1Sf9mKgJtaOA7nAHfh7b+lfqxDm5yjrsM7R61t6ZzWzu26jr379my8/fkBP5ZlwNQWYm/p/BmDtz+vxzvfPQBkhHOc0MoxFiSOUOtjTZPtkxhk3FzgSbxjcDteaX99v8uBFf6yvdzSdgm27gnvfHpl4O8NIa5JgsS9jhbO+aHWid9vBl4iuxO4A2+fuzKc5W4SQ4K/bnP870HPBwT/Hb/Mn0cp8AVwTdPfpnCWtS3D+v1/iHee2Ih3ndjoWhVvX7yvhfXe7v2Wln9XZtOGa9hwthPevnl0iOWon9+j/jb4GK9QLnCYJ4Gz/G31XED31cBjAd/zgUlB5pHnr9+r/fW9Cf8c6/dPBG7z+230PycCqTTOCcrwrv9n0/bzU2ddK7b7mKFxHhDy+rqlP7xrrZ836TYPPw8izN+5INOdhXdc/tUf9zPg+CbnqKbH7hHAfH/4+cAR/rC/wXubUoW/ze7wu7d2ffbrwGMZrzb3Vn9/uayF2N8kxPWo33+mv4+U+MOOCeh3MN4+X4p3DMytj8Pv35Y8ryP7xon+OtkJ/C1w3IBt82d/3f0a7/j4I961xRa8a4fk9sTdME44O0qQA6tpgh8P1OD/aNH4x+0YAk7SQQ6KGGAh8HO8H5XheD8KJwWcrKqBM/xhk4Gn8V7Vkwr0xzsYrglYcdV4B3Qs3uu9NrL34uS//kbv7cd9tN99Mt6Od6g/3qV4J+lmFw5BlmGOv5EOAeLwkrS5IcbLo/nF7hq8BDHZ/36r3+8S4L2Accf6G7f+RJmPd4KO8+MvAsYFxLQTONJfb0l4B9WX/P69gcntWfaAeNb56z4b78bJCuBav19fvEQwBUjDS4ifbnIAb8BLruP8beHwTr7pfvdK4HW8fSID7+R5qT/+cf7yTvbXx1/xqoUHbp/ngUy8pHMbcHLAPvKu/znNXy/f89dRGnBoK8s9G+9Ed5If+wN4F203+ctxFf4Fuz/804TeX0finUQS8RK9t4HbwlnHLcR3DN7x+Dt/uslhbo9Q+2Gevz7j8Pa31TQ5BwRM51RgWZB4JuDthxPxTl5ndNE+3tK8xuL9OE3HO9f8Ee9cUX8h9m3gQyDHn/8/gEeajHuU3+///HUcKsF/AC9xTfPX3+fAFX6/e4HfBAx7HfBSOMei/3kxXvKSHGLeTS9sQ04TrxZWPnsTpzz8m5N4+/lDYZwDTgj4nufP/wF/+yUT/JxXCIz3h3mifj5Bhn2a0MfOI3jHXP22nx4ixsvxL2KBC/H280cD+j0T7LeqhWW721+ug/DOUWNCzHcO3kVG/T5zO41vLDq8i6M+/vTCOaeFtV2bxs/ec9Yp/rC3AB+2sF1bOn9ejncOGA70wksWHgznOKGFYyxIDK2tj0bbp8m4sXg3Cv/s7zsN+wfetcRqYAzeeeWnwPuhtkuIdR/O+TTwYi7kNUmIYyrU72rIdQJk4SU35+D9Dn3HX/dXhrPcTWIYB+xu0m02Tc4HBP8dPxUv2TLgaGAPe681jqH5MRZqWdsy7Ml4N7PH+dvkwSDb7Czg4xDL2+79ltZ/V2bTtmvYVrcT3nXSt0IsS/386veD7+Ndn8T7/ePx9qE0vGO4xI9rEN5NikJ/uOF4iUtMkHnk+ev3EX8ZJuCdI+qX+WZ/ffXHu655H/hVsO3agfNTh68V6eAxQ+M8IOj1dWt/wEXAqoDvo/FupvXzv4f1OxdkurP8ZfmOv2xfxbteqr+Z/iaNj90B/va+2P9+gf+9UcFtwPTDuT4LTPBr/P0i3t/Oe4DeIWJ/k9DXowfg3Wyd4U/rh/42SvD/1gcs8zl4x0J9HGHnOh3ZNwLGPcvvd4Mfx5VNts03/f7JeDfBnsU7t6UBzwG3tDXuRssQzo4S5MBqdnGPd3K9qOmOQOsJ/qHAhib9f4x/pxXvwA/8UR+AdzAH3tm4AHgjYMWtDuiX4s9vIN4JrC7YToVXEvirJt1WEvouaeAyzAH+FdDvFOCzEOPl0fxi96cB/b/B3ov9NLwdeaj//TfAvf7nrwLvNJn2P4BfBMT0QJP+G/CqT6d3ZNkDhlkHfC3g+++Bu0IMOwkobnIA3xxknR4Z8H0h8KOA73/CT37x7n7/PqBfL7wDKC9gWtMD+j8G3Biwj9Qn+BcAi9p4DMwGXg34fhreD3x9yWKaP/9MWtlfg0z7jMB42rKOA4Y5Bu8HImRJf4jtEWo/zPOX5/t4P5w5LUz3Ilr4YfaHuQ34c1fs463M6+cEJBN454Yq9l6UrKDxHe5B/j4V5487N6BfauC4TeYZ62/zsQHdrgHe9D+fAHwR0O894BIXxrHo7w+Xt7LMjc7RLU0T7wbTVj+m+CD7eXsT/OFBugWe824N6D/WX5exNL6Z1Nq5/gHgny3tj/5wI9h7EXuXvy3qS+rvB74bcNyEk+AHltTOA84PMd85TfaZXnilILkB2+m4gP7hnNPC2q5N4/e35WtN1nl5K/tQqPPn6/g1IPzvownzOKGFYyxIDK2tj0bbp8m4h+MlHMGm+yL+zTb/ewzexebQYNsl2LoPMs1JND+fBl7MBb0maeGYCnrOb2md4N0s/TCgn+GVml0ZznI3ieFIYHOTbrMJnuDfHGw5AoZ5GrihhWMs1LK2Zdh78S+G/e/1NQIDj5cZBJx3m8TY7v2W1n9XZtO2a9hWtxNeIdLPQyzL7Cb7QQyNk8/jgdcD+ufjJRDn451P5+GVzF4GPBtiHnn++j2wyfa4x/+8BjgloN9JwLpg2zUg5raenzp8rUgHjxka5wFBr69b+/P3l100Li1/JqB/WL9zQaY7iyY3Ev1te3GwYxcvsZ/XZBofALMChg9M8MO5PgtM8JvW7NwKHBYi9jcJfT36MxrXMonBKzA4Bu8GXdNlfj8gjrBznY7sG/64HzQZN5/GvwkbmvTfTUDNb7zfsLVtjTvwL4ZOYGbxeHfpdrRj9KFAtpmV1P8BP8E7CdbLbzJ8PLApYPh/4N0prNfQuJdzbo//sRdeqdcO51xxiDi+1ySOXLy7xeEIbFBsjz+/cAUd1zlXilfj4Hy/3/l4J/b6eA9tEu9FeDcy6gWuN/BKHE4B1pvZW2Z2eMC02rvsQWM3sxQz+4eZrTezXXgl05lNnpNuGh94Ja71yoN8r1+v2Xh36gBwzpXhVY8b3FpsTeTi/Ri1VdO4itzeRsTK/f+9aGV/NbP+ZjbXzAr99fQQ3t2/QO3Zt7Y55yrqv4S5PVqbzw+AO51zLTWQU4yXtDcws0PN7A0z22ZmO/Gq/mZB5+/jLc0Lb59pGN4/N2wPGH0o8FTAvFbgJWQDgoy7u8m4gbLYeye53nr27pv/A5L9WIfiJQdPBcTQ2rEY7LhpSchpOudW45VOzQa2+vtiuOe8lrQWY2D/9XjHSNP9vrVz/Q/xfhjnmddi/OXBZuScW4N3A24S8CW8kumNZjYa7ybHW2EuU722HI+B+0wZ3m9kqG0ZzjktUFvP203jTmrl2b9Qy9koTv9z/Q2Z1o6Tlo6xptq6PgLlAuudczVB+g0Fbg+Iof4RjcDptrj/hnk+DRTqmiSUsNZ9k3XSdN07ml87tbbc9Zqdx1vQ9Bz8ZTP70Mx2+PM5hebHdqC2HE8trZfAOIJtvzS8G33BdGS/be13pWk8rZ3XwtlOLS1Lo/k55+rwEpP688IpeI+11XuLvcnRW3jJ1dGEd25seh6vn0ewc0RrvyttPT91xrViZx4zoa6vW+TvL48Dl5iZ4V3jBDbQGdbvXAiF/jLVa7odQv7+BAzf0u9Pa9dngbY3OR935FgP3J51/nLUb89gyxwYc7i/mR3ZN4KN2/S6OXBa/fBu9CwMmN5Lfve2xt2gUxJ84HS86gbz2jFuPt5disyAvzTn3CkBw7gmw1fiPY9RP3y6c25cmPPqY2aZIfr9pkkcKc65R9qxTJ3pEeAC/2SRDLzhd88H3moSby/n3NcDxg1cbzjn5jvnTsf7IXkar1SmflqdvezfwyvZOdQ5l4734wHeARA0vjbaiLfTexM1S8WrNlnYxunk45XwdZXW9tdb8NbDRH89fY3G66i9mq7bcLZHa04EfmpmZ7cwzKfA8CY/zA/jVT3Kdc5l4JWiBs630/bxVua1Ca+KJQBmVv/oQr18vMeMAueX5Jwr9MfNDRg3pcm4gYrwSgiGBnQbgr9v+j9Ij+GV2lwIPO/f6KiPobVjsa3HTYvTdM497Jyb7sfr8B7tCHc+oYZpbdzcgM9D8NZXUZC4Qx47zrnNzrmrnHPZeCUnf7PQLZ2/hVfVLsHfnm/h3WXvjffIQ3uWIRyB+0wvvOp3G0PMo63ntEj9ZjWKE2/71eBdYLd2nLR0jLU4nzae4/OBISEShHy86tCBMSQ7594PGKa1bd8Z59P2aGmdNF33RuPjLJzlrrfKn0TgxX2rx7p5Db89gVdNfYBzLhMvmezq9dLo3E7j5a43Bu+xjVDjt3e/be13Bdp2DRvOdmppWWiyLDF+fPXnnVPwbqrXq0/wv+R/fovwE/ym5/H6eQQ7R9T364zzalt0yzHTwvV1OO4HzsOrZZKGdxO6frpt+Z1rarC/TPUCtwO08PsTMHxhkGEhvOuzrtB0e9Zvs/rtGWyZA2MO9zezI/tG03OC0fj8BI3XZxHeTalxAdPKcF5j9m2Nu0GHEnwz62NmF+E1wPM751yoEq2WzAN2mdmPzCzZzGLNbLyZTQs2sPNaQ30F+JOZpZtZjJmNMLOjW5uRP+6LeAdIbzOLN7P6H+a7gWv9UjUzs1QzO9XMwr2L3VVewNuZb8Z7brTO7/48cICZXewvR7yZTTOzMcEmYmYJ5r3/PcM5V41XJai+xLkrlj0Nb4ctMbM+wC86MK1gHgYuM7NJ/kXFb4GPnHPr2jid54GBZvZt894xm2Zmh3ZWkGHsr2l4pYsl/sXUDzpr3k10xvZYhves451mFrQ1YueV7q/Ca48icN47nHMVZnYIXlIbqFP28TDm9R/gNDM7wrzXJf2SxheedwG/Ma9UHTPrZ2anB4z7FTOb7o97MyHOn86ryfGYP600f3rfxaudUe9hvCpuF/mf63XGsbgF71nEVqdpZqPN7Dj/GKrA20dqA6aTZy23rtt0XuH6mpmN9S+kbwb+45q8Rq+1Y8fMzjWz+h/NYrwfzEbTCPAWcD1eSSt4pVTfxHtUJ9Q47V22QKcE7DO/wjtHhSodbu2cFvZ27WDMrXkE+I6ZDTPvpsVv8Y7bGlo/Tlo6xprqyDl+Ht5F1q3+ekkysyMDYvixmY3zY8gws3NbmV7Tdd/Vv2+htLRO/guMM7OzzLux8S0al6aFvdz+NcJreElevXDOBwl4zzlvA2rM7Mt4N4a72mN462WMf075eZBhjsa7/gumI/tta78rjYRxTdDidvKvE/rgPeMeypSA/eDbeDcUPjSvtfZE59xnAcO+BRyL98hAAfAO3u98X7wGa1vyM/Nqs4zDq9L/qN/9EbzCgH5mloW3Pep//7YAfc0so5Vpd5YuP2as5evr+tdsHtNCjO/g1cj4J96jIlUB47bld66p/sC3/Gunc/FuDL0QYtgX8K63LjSzOPNefz6WvTcbmp4D23N91hkeA041s+PNqz3+Pbz9+328Rwpq8JY5zszOovG1aFt+Mzuyb/wXmGBmZ/jjXkfomg31hT53A382s/ravYPN7KR2xN2gvQn+J2ZWhtfAwJXAd5xzwU6orfIvrk7Dqz65Fu9Oxr/wGsoI5RK8H5LleDv8f/CeiQrHxXilRZ/hPQPybT+OBXiN4NzhT3M13nMSEeW8954+ifeM7MMB3UvxfjjPx7ujtZm9jaqFcjGwzrwqhdfilRZ31bLfhlcaW4T3Q9Spr2Rxzr2O9yzOE3gXciPYW827LdMpxbtrehreOlyF92PXmVraX3+J9/zbTryTwpOdPO96t9EJ28M59wlea553+xdvwfwDb1+r9w3gZjMrxfuhb3Rnu5P38ZDzcs4tw0vq5uLtM6V454BKf5Db8Ur/X/HH/xCvjZD6ca/z49uEtx1belThm3jPVH2B14L2w3jPidbH8pHfP5uAi85OOhZnA/ebV5XrvFammQjcirdfbMa7IPiJ3+9x//92M/s4xLxuwbuQKzGz77chxgfxntHbjNdw0LdCDNfSsTMN+Mj/LXoW7znftSGm8xZeUlaf4L+LVyXu7RDDQ/uXLdDDeMnfDmAK3g2doMI4p80m/O3ale7F235v4/1mV+Dt7+EcJyGPsaY6co4PuK4YifdsbAHeDTWcc0/hnUfm+r+FS4FQ57J6swlY93Tx71soLa0T51wRcC7e8bwdGIXXvkf9uG1d7qbn8VbPB/45+1t4591ivBusz7ZpIdvBOfci8Be82l+r8S70wT+3m9kgvGTl6RDjt3u/DeN3JZiQ57UwttOFwP3+72Yoz+Dt78V42/AsP/E8lSYJnnPuc7xChnf877vwfrfea+HmZ7238Nb368AfnXOv+N1/DSzAq9G3BK9V81/70/8M7wbAF/7x1BmPhIXUjcdM0OtrPzkvw1sPoWJ0eM/aD/X/Bwr5O2delf2Qvyl4b/QahXee+g1wTqiCWL/7V/AS5u14jwZ8xV9H4B0D55hZsZn9pZ3XZx3mnFuJt27/irdcpwGnOeeq/BsjZ+H9DhbjHQNPBowb9m9mR/aNgHF/7487Fu94aOmY/ZEfz4f+9F7DqyXW7uvC+pblRUQ6hX+XfBFeo0SbIh1PKOaVPpYAo1pIDKWTmdmbeI11/SvSsXQlM5uD15jUTyMdi0h7mNm7wDedc62V5PYofiniUrzS6hoz+xPea5n/1g3z7rLfFf+39RPgKOfc1naM/wLeK85CleJKJzOzr+FVvf5xN893Fl6jbtO7c77SnHm1ngrwGqJ/o7XhO0tLDViIiLSZX7IwNtJxBGNmp+GVNhjec6JL8FpnFhGRAPtScmBmZ+LVgkvFK1l7zn9sBOfc97p43t3yu+L/th7YgUm8yd42bqQbOOcean0oiTZ+9fqP8B7l+gHeuaGlx2o6XWc1sidRyMyGmFlZiL8hrU9h32VmL4ZY7p+0PnbXM7OfhIgv1DOG4jkdrzrZRrwqV+c7VWMSEdnXXYP37P8avGeUu7qxr0D7xO+Kc+73zrny1ocUkQ46HO9cVP8YwRndfeypir6IiIiIiIhIFFAJvoiIiIiIiEgUUIIvIiIiIiIiEgXUyJ5ID5OVleXy8vIiHYaIiIhIqxYuXFjknOsX6ThExKMEX6SHycvLY8GCBZEOQ0RERKRVZrY+0jGIyF6qoi8iIiIiIiISBZTgi4iIiIiIiEQBJfgiIiIiIiIiUUDP4IuIiIjIPqG6upqCggIqKioiHcp+JykpiZycHOLj4yMdioi0QAm+iIiIiOwTCgoKSEtLIy8vDzOLdDj7Decc27dvp6CggGHDhkU6HBFpgaroi4iIiMg+oaKigr59+yq572ZmRt++fVVzQmQfoARfRERERPYZSu4jQ+tdZN+gBF9EREREREQkCijBFxERERHpIqeccgolJSWRDiOoOXPmsHHjxkiHISKdSAm+iIiIiEgXeeGFF8jMzIx0GEEpwReJPkrwRdrJzO41s61mtjREfzOzv5jZajP71Mwmd3eMIiIi0W7dunWMGTOGq666inHjxnHiiSdSXl7OMcccw4IFCwAoKioiLy8P8JLaM844g9NOO41hw4Zxxx138H//938cfPDBHHbYYezYsSPkvFqa5llnncXJJ5/MqFGj+OEPf9gwTl5eHkVFRQD85je/YfTo0ZxwwglccMEF/PGPf2xxurW1tfzgBz9g2rRpTJw4kX/84x8tros//OEPDcP+4he/aHH9/Oc//2HBggVcdNFFTJo0ifLycm688UbGjh3LxIkT+f73v9+GrSAiPYUSfJH2mwOc3EL/LwOj/L+rgb93Q0wiIiL7nVWrVnHdddexbNkyMjMzeeKJJ1ocfunSpTz88MPMmzePm266iZSUFBYtWsThhx/OAw880K4YFi9ezKOPPsqSJUt49NFHyc/Pb9R/4cKFzJ07l0WLFvHkk08yf/78Vqd5zz33kJGRwfz585k/fz533303a9euDTrsK6+8wqpVq5g3bx6LFy9m4cKFvP3220Dw9XPOOecwdepU/v3vf7N48WLKy8t56qmnWLZsGZ9++ik//elP27UeRCSylOCLtJNz7m0g9G1+OB14wHk+BDLNbFD3RCciIrL/GDZsGJMmTQJgypQprFu3rsXhjz32WNLS0ujXrx8ZGRmcdtppAEyYMKHVcUM5/vjjycjIICkpibFjx7J+/fpG/d955x3OPPNMUlJSSE9PZ+bMma1O85VXXuGBBx5g0qRJHHrooWzfvp1Vq1aFHPaVV17h4IMPZvLkyXz22WcNw4azftLT00lKSuLKK6/kySefJCUlpW0rQER6hLhIByASxQYDgbfvC/xumyITjoiISHRKTExs+BwbG0t5eTlxcXHU1dUBNHt/e+DwMTExDd9jYmKoqakJOZ9wpxkbGxt0OqFeNRdqus45/vrXv3LSSSeFjClw2B//+Mdcc801jbqvW7cu6PoJFsO8efN4/fXXmTt3LnfccQf/+9//Wp2viPQsKsEX6TrBfsVd0AHNrjazBWa2YNu2bV0cloiISPTLy8tj4cKFAPznP/+J+DSPOuoonnrqKcrLyyktLeW5555rdbonnXQSf//736murgbg888/Z/fu3UGnf9JJJ3HvvfdSVlYGQGFhIVu3bm0xprS0NEpLSwEoKytj586dnHLKKdx2220sXry4TcsnIj2DSvBFuk4BkBvwPQcI2lStc+6fwD8Bpk6dGvQmgIiIiITv+9//Pueddx4PPvggxx13XMSnOXnyZL761a8yadIkhg4dype+9KVWp3vllVeybt06Jk+ejHOOfv368fTTTwed/oknnsiKFSs4/PDDAejVqxcPPfQQsbGxIWOaNWsW1157LcnJybz44oucfvrpVFRU4Jzjz3/+c5uWT0R6BnNOuYRIe5lZHvC8c258kH6nAtcDpwCHAn9xzh3S2jSnTp3q6lvSFRERkb1WrFjBmDFjIh1Gp5g9eza9evXap1qrD7b+zWyhc25qhEISkSZUgi/STmb2CHAMkGVmBcAvgHgA59xdwAt4yf1qYA9wWWQiFRERERGR/YESfJF2cs5d0Ep/B1zXTeGIiIhIJ7nuuut47733GnW74YYbuOyyzrtXP3v27HaNt2TJEi6++OJG3RITE/noo486ISoR2dcpwRcRERERCXDnnXdGOoSQJkyYoAbwRCQktaIvIiIiIiIiEgVUgi8iIlGvuraO5z/dyMaSCk47aBBD+qRGOiQRERGRTqcEX0REot6Sgp1859FPAIiLMa45ekSEIxIRERHpfKqiLyIiUa9vagKDMpIwg8G9kyMdjohII3l5eUyYMIFJkyYxdar3xrkdO3YwY8YMRo0axYwZMyguLo5wlCKyL1CCLyIiUW9oViqPXn04z143nVPGD4p0OCKyD1u5ciWvvfYaK1eu7NTpvvHGGyxevJgFCxYAcOutt3L88cezatUqjj/+eG699dZOnZ+IRCdV0RcRkf3CkL4pkQ5BRPZhRUVF3HDDDaxfv57Y2Fhqa2sZOnQot99+O1lZWZ0+v2eeeYY333wTgEsvvZRjjjmG3/3ud50+HxGJLirBFxERERFpxQ033MDq1aupqKhg9+7dVFRUsHr1ar797W93eNpmxoknnsiUKVP45z//CcCWLVsYNMircTRo0CC2bt3a4fmISPRTCb6IiIiISAs+++wz1q9fT21tbaPutbW1rFu3jpUrVzJ69Oh2T/+9994jOzubrVu3MmPGDA488MCOhiwi+ymV4IuIiIiItKCgoIDY2Nig/WJjY8nPz+/Q9LOzswHo378/Z555JvPmzWPAgAFs2rQJgE2bNtG/f/8OzUNE9g9K8EVEREREWpCTk9Os9L5ebW0tubm57Z727t27KS0tbfj8yiuvMH78eGbOnMn9998PwP3338/pp5/e7nmIyP5DVfRFRERERFpw4IEHMnToUFavXt0o0Y+NjSUvL69D1fO3bNnCmWeeCUBNTQ0XXnghJ598MtOmTeO8887jnnvuYciQITz++OMdXg4RiX5K8EVEREREWnH77bfz7W9/m3Xr1jW0op+Xl8dtt93WoekOHz6cTz75pFn3vn378vrrr3do2iKy/1GCLyIiIiLSiqysLB566CFWrlxJfn4+ubm5HSq5FxHpCkrwRURERETCNHr0aCX2ItJjqZE9ERERERERkSigBF9EREREREQkCijBFxEREREREYkCSvBFREREREREooASfBERERGRMJSVlfH8888zZ84cnn/+eXbv3t0p07388svp378/48ePb+i2Y8cOZsyYwahRo5gxYwbFxcUN/W655RZGjhzJ6NGjefnllzslBhGJDkrwRURERERa4Jzjnnvu4aSTTuJ3v/sdf//73/nd737HiSeeyD333INzrkPTnzVrFi+99FKjbrfeeivHH388q1at4vjjj+fWW28FYPny5cydO5dly5bx0ksv8Y1vfIPa2toOzV9EoocSfBERERGRFtx7773cd999VFZWUl5eTm1tLeXl5VRWVnLfffdx7733dmj6Rx11FH369GnU7ZlnnuHSSy8F4NJLL+Xpp59u6H7++eeTmJjIsGHDGDlyJPPmzevQ/EUkeijBFxEREREJYffu3dx7771UVFQE7V9RUcG9997badX1623ZsoVBgwYBMGjQILZu3QpAYWEhubm5DcPl5ORQWFjYqfMWkX2XEnwRERERkRDeeOMNYmJavmSOjY3ljTfe6JZ4gj0OYGbdMm8R6fmU4IuIiIiIhFBUVERVVVWLw1RWVlJUVNSp8x0wYACbNm0CYNOmTfTv3x/wSuzz8/MbhisoKCA7O7tT5y0i+y4l+CIiIiIiIWRlZZGQkNDiMImJiWRlZXXqfGfOnMn9998PwP3338/pp5/e0H3u3LlUVlaydu1aVq1axSGHHNKp8xaRfZcSfBERERGREI499ljq6upaHKa2tpZjjz223fO44IILOPzww1m5ciU5OTncc8893Hjjjbz66quMGjWKV199lRtvvBGAcePGcd555zF27FhOPvlk7rzzTmJjY9s9bxGJLtbR13qISOeaOnWqW7BgQaTDEBER6XFWrFjBmDFjun2+99xzD/fdd1/QhvaSkpK47LLLuOKKK7o9ru4WbP2b2ULn3NQIhSQiTcRFOgARERERkZ7s8ssvB7zX5cXGxlJZWUliYiK1tbVcdtllDf1FRCJNCb6IiIiISAvMjCuuuILzzz+fN954g6KiIrKysjj22GNJTU2NdHgiIg2U4IuIiIiIhCE1NZWvfOUrkQ5DRCQkNbInIiIiIiIiEgWU4IuIiIiIiIhEAVXRFxEREREJQ0VFBfPnz2fXrl2kp6czbdo0kpKSIh2WiEgDJfgiIiIiIi2orKzkjjvu4OmnnyYmJgbnHGZGXV0dZ5xxBtdffz2JiYntnv7ll1/O888/T//+/Vm6dCkAs2fP5u6776Zfv34A/Pa3v+WUU04B4JZbbuGee+4hNjaWv/zlL5x00kkdX0gRiQpK8EVEREREQqisrOSqq65izZo1VFZWNuv/5JNP8sknn3D33Xe3O8mfNWsW119/PZdcckmj7t/5znf4/ve/36jb8uXLmTt3LsuWLWPjxo2ccMIJfP7558TGxrZr3iISXfQMvoiIiIhICHfccUfI5B68GwBr1qzhzjvvbPc8jjrqKPr06RPWsM888wznn38+iYmJDBs2jJEjRzJv3rx2z1tEoosSfBERERGRICoqKnj66adDJvf1Kisreeqpp6ioqOjU+d9xxx1MnDiRyy+/nOLiYgAKCwvJzc1tGCYnJ4fCwsJOna+I7LuU4IuIiIiIBDF//nxiYsK7XI6JiWHBggWdNu+vf/3rrFmzhsWLFzNo0CC+973vAeCcazasmXXafEVk36YEX0REREQkiF27dgVNqINxzrFz585Om/eAAQOIjY0lJiaGq666qqEafk5ODvn5+Q3DFRQUkJ2d3WnzFZF9mxJ8EREREZEg0tPTwy4dNzMyMjI6bd6bNm1q+PzUU08xfvx4AGbOnMncuXOprKxk7dq1rFq1ikMOOaTT5isi+za1oi8iIiIiEsS0adOoq6sLa9i6ujqmTp3arvlccMEFvPnmmxQVFZGTk8Mvf/lL3nzzTRYvXoyZkZeXxz/+8Q8Axo0bx3nnncfYsWOJi4vjzjvvVAv6ItJACb6IiIiISBBJSUmcccYZPPnkky02tJeYmMiZZ55JUlJSu+bzyCOPNOt2xRVXhBz+pptu4qabbmrXvEQkuqmKvoiIiIhICNdffz0jRowI+Y77xMRERowYwXXXXdfNkYmINKcEX0REREQkhMTERO6++27OPvtskpOTSU1NJSUlhdTUVJKTkzn77LO5++67Q94AEBHpTqqiLyIiIiLSgsTERL773e/yjW98gwULFrBz504yMjKYOnVqu6vli4h0BSX4IiIiIiJhSEpKYvr06ZEOQ0QkJCX4IiIiIiJhKikpoaysjF69epGZmRnpcEREGlGCLyIiIiLSgqqqKl555RXmzJlDYWEhcXFx1NTUkJOTw6WXXsqJJ55IQkJCpMMUEVEjeyIiIiIioZSUlHDxxRdz6623sm7dOqqrqykvL6e6upq1a9fyu9/9jksuuYSSkpJ2TT8/P59jjz2WMWPGMG7cOG6//XYAduzYwYwZMxg1ahQzZsyguLi4YZxbbrmFkSNHMnr0aF5++eXOWEwRiRJK8EVEREREgqiqquKaa65h/fr1VFRUBB2mvLycdevWce2111JVVdXmecTFxfGnP/2JFStW8OGHH3LnnXeyfPlybr31Vo4//nhWrVrF8ccfz6233grA8uXLmTt3LsuWLeOll17iG9/4BrW1tR1aThGJHkrwRURERESCeOWVVygsLKSmpqbF4WpqaigsLOTVV19t8zwGDRrE5MmTAUhLS2PMmDEUFhbyzDPPcOmllwJw6aWX8vTTTwPwzDPPcP7555OYmMiwYcMYOXIk8+bNa/N8RSQ6KcEXEREREQlizpw5IUvumyovL2fOnDkdmt+6detYtGgRhx56KFu2bGHQoEGAdxNg69atABQWFpKbm9swTk5ODoWFhR2ar4hEDyX4IiIiIiJNlJSUtDlxLigoaPez+GVlZZx99tncdtttpKenhxzOOdesm5m1a54iEn2U4IuIiIiINFFWVkZcXNteOBUXF8fu3bvbPK/q6mrOPvtsLrroIs466ywABgwYwKZNmwDYtGkT/fv3B7wS+/z8/IZxCwoKyM7ObvM8RSQ6KcEXEREREWmiV69erT5731RNTQ2pqaltGsc5xxVXXMGYMWP47ne/29B95syZ3H///QDcf//9nH766Q3d586dS2VlJWvXrmXVqlUccsghbZqniESvtt2WFBERERHZD2RmZjJ48GDWrVsX9jg5OTlkZma2aT7vvfceDz74IBMmTGDSpEkA/Pa3v+XGG2/kvPPO45577mHIkCE8/vjjAIwbN47zzjuPsWPHEhcXx5133klsbGyb5iki0UsJvoiIiIhIELNmzeLWW28Nq6G95ORkZs2a1eZ5TJ8+Pehz9QCvv/560O433XQTN910U5vnJSLRT1X0RURERESCOPHEE8nJyWn1Wfy4uDgGDx7MjBkzuikyEZHglOCLiIiIiASRkJDAXXfdRV5eHsnJyUGHSU5OJi8vj7vuuouEhIRujlBEpDFV0RcRERERCSEzM5MHHniAV199lTlz5lBQUEBcXBw1NTXk5uZy6aWXMmPGDCX3ItIjKMEXEREREWlBQkICp556KqeeeiolJSXs3r2b1NTUNjeoJyLS1ZTgi4iIiIi0YvPmzTz++OO8++677Nmzh5SUFKZPn865557LwIEDIx2eiAigBF9EREREJKQ9e/bw85//nPfffx+Aqqqqhn75+fk88sgjHHHEEdx8882kpKREKkwREUCN7ImIiIiIBLVnzx5mzZrF+++/T1VVVaPkHmjo9v777zNr1iz27NnT5nnk5+dz7LHHMmbMGMaNG8ftt98OwOzZsxk8eDCTJk1i0qRJvPDCCw3j3HLLLYwcOZLRo0fz8ssvd2whRSSqqARfRERERCSIn//85xQUFDRL7JuqqqqioKCAn//85/zxj39s0zzi4uL405/+xOTJkyktLWXKlCkNr9v7zne+w/e///1Gwy9fvpy5c+eybNkyNm7cyAknnMDnn39ObGxs2xZORKKSSvBFRERERJrYvHlzQ8l9OOpL8rds2dKm+QwaNIjJkycDkJaWxpgxYygsLAw5/DPPPMP5559PYmIiw4YNY+TIkcybN69N8xSR6KUEX0RERESkiccff7xd4z322GPtnue6detYtGgRhx56KAB33HEHEydO5PLLL6e4uBiAwsJCcnNzG8bJyclp8YaAiOxflOCLiIiIiDTx7rvvhl16X6+qqop33323XfMrKyvj7LPP5rbbbiM9PZ2vf/3rrFmzhsWLFzNo0CC+973vAeCcazaumbVrniISfZTgi4iIiIg00Z4G89o7XnV1NWeffTYXXXQRZ511FgADBgwgNjaWmJgYrrrqqoZq+Dk5OeTn5zeMW1BQQHZ2drtiFZHoowRfRERERKSJ9r7yrq3jOee44oorGDNmDN/97ncbum/atKnh81NPPcX48eMBmDlzJnPnzqWyspK1a9eyatUqDjnkkHbFKiLRR63oi4iIiIg0MX36dPLz89tUTT8hIYHp06e3aT7vvfceDz74IBMmTGDSpEkA/Pa3v+WRRx5h8eLFmBl5eXn84x//AGDcuHGcd955jB07lri4OO688061oC8iDSzYczwiEjlTp051CxYsiHQYIiIiPc6KFSsYM2ZMt8xr8+bNnHXWWW1O8J966ikGDBjQhZFFTrD1b2YLnXNTIxSSiDShKvoiIiIiIk0MHDiQI444goSEhLCGT0hI4Igjjoja5F5E9g1K8EVEREREgrj55pvJyclpNclPSEggJyeHm2++uZsiExEJTgm+iIiIiEgQKSkpzJkzp6EkPz4+vlH/+Pj4hpL7OXPmtLthPhGRzqJG9kRERERkn+Gc69b3vqekpPDHP/6RzZs38/jjj/Puu++yZ88eUlJSmD59Ouedd95+US1f7XaJ7BvUyJ5ID6NG9kRERIJbu3YtaWlp9O3bt1uT/P2dc47t27dTWlrKsGHDGvVTI3siPYtK8EVERERkn5CTk0NBQQHbtm2LdCj7naSkJHJyciIdhoi0Qgm+iIiIiOwT4uPjm5Ugi4jIXmpkT0RERERERCQKKMEXERERERERiQJK8EVERERERESigBJ8ERERERERkSigBF9EREREREQkCijBF+kAMzvZzFaa2WozuzFI/wwze87MPjGzZWZ2WSTiFBERERGR6KcEX6SdzCwWuBP4MjAWuMDMxjYZ7DpguXPuIOAY4E9mltCtgYqIiIiIyH5BCb5I+x0CrHbOfeGcqwLmAqc3GcYBaWZmQC9gB1DTvWGKiIiIiMj+QAm+SPsNBvIDvhf43QLdAYwBNgJLgBucc3XdE56IiIiIiOxPlOCLtJ8F6eaafD8JWAxkA5OAO8wsvdmEzK42swVmtmDbtm2dHaeIiIiIiOwHlOCLtF8BkBvwPQevpD7QZcCTzrMaWAsc2HRCzrl/OuemOuem9uvXr8sCFhERERGR6KUEX6T95gOjzGyY33De+cCzTYbZABwPYGYDgNHAF90apYiIiIiI7BfiIh2AyL7KOVdjZtcDLwOxwL3OuWVmdq3f/y7gV8AcM1uCV6X/R865oogFLSIiIiIiUUsJvkgHOOdeAF5o0u2ugM8bgRO7Oy4REREREdn/qIq+iIiIiIiISBRQgi8iIiIiIiISBZTgi4iIiIiIiEQBJfgiIiIiIiIiUUAJvoiIiIiIiEgUUIIvIiIiIiIiEgWU4IuIiIiIiIhEASX4IiIiIiIiIlFACb6IiIiIiIhIFFCCLyIiIiIiIhIFlOCLiIiIiIiIRAEl+CIiIiIiIiJRQAm+iIiIiIiISBRQgi8iIiIiIiISBZTgi4iIiIiIiEQBJfgiIiIiIiIiUUAJvoiIiIiIiEgUUIIvIiIiIiIiEgWU4IuIiIiIiIhEASX4IiIiIiIiIlFACb6IiIiIiIhIFFCCLyIiIiIiIhIFlOCLiIiIiIiIRAEl+CIiIiIiIiJRQAm+iIiIiIiISBRQgi8iIiIi0sTGknJWby2jurYu0qGIiIQtLtIBiIiIiIj0FBXVtcydt4Hfv7ySPVW1nDpxID848UDyslIjHZqISKtUgi8iIiIi4vvoi+3Mfm45e6pqAfjvp5v590frIxyViEh4lOCLiIiIiPg+21zarNsLSzazp6omAtGIiLSNEnwREREREV92ZlKzblOH9iYpLjYC0YiItI0SfBERERER35EjszjtoOyG7/3TE5l1ZB4xMRbBqEREwqNG9kREREREfH1SE/nd2RO48JBcyiprGZedTnZmcqTDEhEJixJ8EREREZEAKQlxHD4iK9JhiIi0maroi4iIiIiIiEQBJfgiIiIiIiIiUUAJvoiIiIiIiEgUUIIvIiIiIiIiEgWU4IuIiIiIiIhEASX4IiIiIiIiIlFACb6IiIiIiIhIFFCCLyIiIiIiIhIFlOCLiIiIiIiIRAEl+CIiIiIiIiJRQAm+iIiIiIiISBRQgi8iIiIiIiISBZTgi4iIiIiIiEQBJfgiIiIiIiIiUUAJvoiIiIiIiEgUUIIvIiIiIiIiEgWU4IuIiIiIiIhEASX4IiIiIiIiIlFACb6IiIiIiIhIFFCCLyIiIiIiIhIFlOCLiIiIiIiIRAEl+CIiIiIiIiJRQAm+iIiIiIiISBRQgi8iIiIiIiISBZTgi4iIiIiIiEQBJfgiIiIiIiIiUUAJvoiIiIiIiEgUUIIvIiIiIiIiEgWU4IuIiIiIiIhEASX4IiIiIiIiIlFACb6IiIiIiIhIFFCCLyIiIiIiIhIFlOCLiIiIiIiIRAEl+CIiIiIiIiJRQAm+iIiIiIiISBRQgi8iIiIiIiISBZTgi4iIiIiIiEQBJfgiIiIiIiIiUUAJvoiIiIiIiEgUUIIvIiIiIiIiEgWU4IuIiIiIiIhEASX4IiIiIiIiIlFACb6IiIiIiIhIFFCCLyIiIiIiIhIFlOCLiIiIiIiIRAEl+CIiIiIiIiJRQAm+iIiIiIiISBRQgi8iIiIiIiISBZTgi4iIiIiIiEQBJfgiIiIiIiIiUUAJvoiIiIiIiEgUUIIvEoKZJYYxzMlmttLMVpvZjSGGOcbMFpvZMjN7q/MjFRERERERUYIvAoCZ3dvkey/ghVbGiQXuBL4MjAUuMLOxTYbJBP4GzHTOjQPO7cSwRUREREREGijBF/EUmtnfAcysN/AK8FAr4xwCrHbOfeGcqwLmAqc3GeZC4Enn3AYA59zWzg1bRERERETEowRfBHDO/QzYZWZ34SX3f3LO3dfKaIOB/IDvBX63QAcAvc3sTTNbaGaXdFrQIiIiIiIiAeIiHYBIJJnZWQFf5wE/8/87MzvLOfdkS6MH6eaafI8DpgDHA8nAB2b2oXPu8yZxXA1cDTBkyJC2LYSIiIiIiAhK8EVOa/J9ERDvd3dASwl+AZAb8D0H2BhkmCLn3G5gt5m9DRwENErwnXP/BP4JMHXq1KY3CURERERERFqlBF/2a865yzow+nxglJkNAwqB8/GeuQ/0DHCHmcUBCcChwJ87ME8REREREZGglOCLAGbWD7gKyCPguHDOXR5qHOdcjZldD7wMxAL3OueWmdm1fv+7nHMrzOwl4FOgDviXc25p1y2JiIiIiIjsr8w51QYWMbP3gXeAhUBtfXfn3BPdHcvUqVPdggULunu2IiIiIm1mZgudc1MjHYeIeFSCL+JJcc79KNJBiIiIiIiItJdekyfied7MTol0ECIiIiIiIu2lBF/EcwNekl9uZrvMrNTMdkU6KBERERERkXCpir4I4JxLi3QMIiIiIiIiHaEEX8RnZr2BUUBSfTfn3NuRi0hERERERCR8SvBFADO7Eq+afg6wGDgM+AA4LoJhiYiIiIiIhE3P4It4bgCmAeudc8cCBwPbIhuSiIiIiIhI+JTgi3gqnHMVAGaW6Jz7DBgd4ZhERERERETCpir6Ip4CM8sEngZeNbNiYGNEIxIREREREWkDJfgigHPuTP/jbDN7A8gAXopgSCIiIiIiIm2iBF/2e2YWA3zqnBsP4Jx7K8IhiYiIiIiItJmewZf9nnOuDvjEzIZEOhYREREREZH2Ugm+iGcQsMzM5gG76zs652ZGLiQRqbd1VwVllTUM7p1MYlxspMMRERER6ZGU4It4fhnpAESkufKqGh6dX8D/vbqSXRU1HDu6H987cTTjB2dEOjQRERGRHkcJvgitP3dvZh845w7vrnhExPO/z7Yy+7llDd/fWLmNorIqHrnqMHol6SdMREREJJCewRcJT1KkAxDZH72zuqhZtyWFO1mxeVcEohERERHp2ZTgi4THRToAkf1RSnzw5+0TYvXzJSIiItKUrpBERKTHOvbA/sRY426nThjEgYPSIhOQiIiISA+mBxhFwmOtDyIinW36yCz+delUHvpwA19sK+OsyYM5e3KOWtIXERERCUIJvkh4Lo50ACL7IzPjuAMHcMwB/amuq1NiLyIiItICVdEXAczsLDNbZWY7zWyXmZWaWUMrXs65pZGMT2R/FxNjSu5FREREWqESfBHP74HTnHMrIh2IiIiIiIhIe6gEX8SzRcm9iIiIiIjsy1SCL+JZYGaPAk8DlfUdnXNPRiwiEelSxXuqeOjD9bz1+TaOG92frx06lPSU+EiHJSIiItJuSvBFPOnAHuDEgG4OUIIvEqVeXLKZP73yOQAL1hXTLy2Rc6fmRjgqERERkfZTgi8COOcui3QMItK9tpVVNPpeVFYZYkgRERGRfYMSfBHAzJKAK4BxQFJ9d+fc5RELSkS61GHD+pIUv4aK6jpSE2I5ZFifSIckIiIi0iFK8EU8DwKfAScBNwMXAWp0TySKHTq8L/+55gjW7djNsKxUxmVnRDokERERkQ5Rgi/iGemcO9fMTnfO3W9mDwMvRzooEela43MyGJ+jxF5ERESig16TJ+Kp9v+XmNl4IAPIi1w4IiIiIiIibaMSfBHPP82sN/Az4FmgF/DzyIYkIiIiIiISPiX4IoBz7l/+x7eA4ZGMRUREREREpD1URV8EMLMBZnaPmb3ofx9rZldEOi4REREREZFwKcEX8czBa1Qv2//+OfDtSAUjIiIiIiLSVkrwRTxZzrnHgDoA51wNUBvZkERERERERMKnBF/Es9vM+gIOwMwOA3ZGNiQREREREZHwqZE9Ec938VrPH2Fm7wH9gHMiG5KIiIiIiEj4lOCLAM65j83saGA0YMBK51x1hMMSEREREREJmxJ8EcDMYoFTgDy84+JEM8M5938RDUykBRXVtRiQGB8b6VBEREREpAdQgi/ieQ6oAJbgN7Qn0lMV76ni6UWFPPjBOpLj47j0yDxOmziI5ISed0pfuWUXO8qqGJ+dQVpyfKTDEREREYlqPe9qUCQycpxzEyMdhEg45s7bwO9eWtnw/Yf/+ZQYg3Om5EYwqubmr93BJffOo7y6lksOG8pPvzKWhDi17SoiIiLSVXSlJeJ50cxOjHQQIq0pKqvkb2+sadb9gQ/WU13TsyqfLNm4k/Jq722Tjy7Ip2RPVYQjEhEREYluKsEX8XwIPGVmMUA1XkN7zjmXHtmwRBqrq3PU1Llm3atq6nA07x5J47PTSYqPoaK6jnOn5JCRoir6IiIiIl1JCb6I50/A4cAS51zPypJEAvRPT+KK6Xnc0aQU/6JDh5AQ17Ma2ztkWF+e/saRbC+rYkJOBok9LD4RERGRaKMEX8SzCliq5F72BRcfnoeZcd9760iIi+HrR4/g9EmDIx1WUAcOUiUYERERke6iBF/Eswl408xeBCrrO+o1edITDUhP4nsnjubSI4YSZzFkpiZEOiQRERER6QGU4It41vp/Cf6fSI+X1Ssp0iGIiIiISA+iBF8EcM79sqX+ZvZX59w3uyseERERERGRttJr8kTCc2SkAxAREREREWmJEnwRERERERGRKKAEX0RERERERCQKKMEXCY9FOgAREREREZGWKMEXCc/tkQ5ARERERESkJUrwRQAze9XMMgO+9zazl+u/O+fmRCIuERERERGRcCnBF/FkOedK6r8454qB/pELR0REREREpG2U4It46sxsSP0XMxsKuAjGIyIiIiIi0iZxkQ5ApIe4CXjXzN7yvx8FXB3BeERERERERNpECb4I4Jx7ycwmA4fhtZj/HedcUYTDEhERERERCZuq6Mt+zcwO9P9PBoYAG4FCYIjfTUREREREZJ+gEnzZ330Xryr+n4L0c8Bx3RuOiIiIiIhI+yjBl/2ac+5q//+xkY5FREREpDPsKq/m8y2lJCfEMnpAGnGxqrQrsr9Qgi/iM7MjgDwCjgvn3AMRC0hERESkjT4tKOFH//mUFZtLMYMLpg3huyceQFavxEiHJiLdQAm+CGBmDwIjgMVArd/ZAUrwRUT2MdW1dTjnSIiLjXQoIt2qoqqWW1/8jBWbSwFwDh6et4Fx2elcdNjQCEcnIt1BCb6IZyow1jnnIh2IiIi039KCncx+bikV1XXcfPp4Jg/tHemQRLpNQUk576/Z3qz7u6uLlOCL7CeU4It4lgIDgU2RDkRE2u/d1dt4f/V20pLimDF2ACP7p0U6JOlm/12yiQXrSwB4dP4GJfiyX0lPiqN3ajzFu6sbdR/SJyVCEYlId1OCL+LJApab2Tygsr6jc25m5EISkbZYsG4Hs+6dT02dVxHnxaWbeeiKQ0lPjo9wZNKd+qfvfc44R0mN7Gf6pyfxw5MO5MdPLmno1isxji+PHxTBqESkOynBF/HMjnQAItIxn+SXNCT3AJ8W7GT11lImD+0Twaiku5158GB6JcZRW+c4YWz/SIcj0u3OnpzDwPQkFm0oJjUxjumjshiXnRHpsESkmyjBFwGcc2+Z2QBgmt9pnnNuayRjEpG2GZCR1Oh7SkIsWWlqNXp/k5mSwLlTcyMdhkjEJMTFcOyB/Tn2QN3gEtkf6aWYIoCZnQfMA84FzgM+MrNzIhuViLTFUaP6cf1xI0mIjWFQRhK3fXUSQ/qkRjosERERkW5jajRcBMzsE2BGfam9mfUDXnPOHdTdsUydOtUtWLCgu2crEjU2lZSTFB9L79SESIciIhL1zGyhc25qpOMQEY+q6It4YppUyd+OariI7JMGZSZHOgQRERGRiFCCL+J5ycxeBh7xv38VeDGC8YiIiIiIiLSJEnwRwDn3AzM7GzgSMOCfzrmnIhyWiIiIiIhI2JTgi/icc0+Y2av4x4WZ9XHO7YhwWCIiIhJlduyuYltpBQPSk8hMUXshItJ5lOCLAGZ2DXAzUA7U4ZXiO2B4JOMSERGR6PLS0k38+vkVFJSUk9c3hZ99ZSzHjxkQ6bBEJEqoETERz/eBcc65POfccOfcMOecknsRERHpNIs2FHPdw4soKCkHYN32PVz70EKWb9wZ4chEJFoowRfxrAH2RDoIiT67yqtZUlDChu27Ix2KiIhE2KL8EmrrGr+iurrWsWhDSWQCEpGooyr6Ip4fA++b2UdAZX1H59y3IheS7Os+WFPEz55ZxuqtZSTFx/Ct40Zx6RFDSU2Mj3RoIiISAYmxwcvWEuNV5iYinUMJvojnH8D/gCV4z+CLdEhB8R6ueWghu8prAKioruP3L68kOzOZMw4eHOHoREQkEg4Z1of0pDh2VdQ0dOubGs/UoX0iGJWIRBMl+CKeGufcdyMdhESPJQU7G5L7QG+u3KoEX0RkPzVqQBr3zprGgx+s54MvtvOlA7L42qFDyctKjXRoIhIllOCLeN4ws6uB52hcRV+vyZN2iQ9RDTM5IbabIxERkZ5kal4fJg/pzZ6qWlITYzGzSIckIlFECb6I50L//48Duuk1edJuk4ZkMqJfKmu2NW5cb8ZYvQpJRGR/FxNj9ErSZbiIdD616CH7PTOLAW70X40X+KfkXtotq1cif7ngYM6dkkNyfCxjBqVxx4UHc/QB/SMdmoiIiIhEKXPOtT6USJQzs7edc0dFOg6AqVOnugULFkQ6DOkkzjmKyqpITYwlJUGlNSIiEl3MbKFzbmqk4xARj0rwRTyvmtn3zSzXzPrU/0U6KNn3mRn90hKV3IuIiIhIl9MVp4jncv//dQHdWn0G38xOBm4HYoF/OeduDTHcNOBD4KvOuf90PNyezTnHik27eG/1dj5cu53q2jom5WbypZH9mJiTQWK8GpoTEREREelsSvBFAOfcsLaOY2axwJ3ADKAAmG9mzzrnlgcZ7nfAy50Ra09XWV3Lvz9az29e+Izaur2PAL39eRF/eX01lxw2lBtmjKJvamIEo5Rot3prKQ9+uJ7EuFguOXwoOb1TIh2SiIiISJdTgi/iM7PxwFggqb6bc+6BFkY5BFjtnPvCH38ucDqwvMlw3wSeAKZ1asA91NOLC7n5+RUh+z/w4XpiYuCmU8eGfJWcSEc998km7n9/PQAD0hO5YrrazBQREZHop6trEcDMfgH81f87Fvg9MLOV0QYD+QHfC/xugdMdDJwJ3NVpwfZgm3aWc+tLn7U63Jz317O0cGc3RCT7q8yU+IbPGckJEYxEREREpPuoBF/Ecw5wELDIOXeZmQ0A/tXKOBakW9PXUtwG/Mg5V2sWbHB/QmZXA1cDDBkyJNyYe5z5a3dQvLs6rGHfX13EwUN6d3FEsr868+DBZCTHkxAbw7Fj9GpCERER2T8owRfxlDvn6sysxszSga200sAeXol9bsD3HGBjk2GmAnP95D4LOMXMapxzTwcO5Jz7J/BP8F6T1+6liLBNOyvCHvbzLWVdGIns7zJTEjhrck6kwxARERHpVkrwRTwLzCwTuBtYCJQB81oZZz4wysyGAYXA+cCFgQMENt5nZnOA55sm99Ekpg0P/STGBx/YOcfnW0rZWFJBbIwxsn8q2ZlqIE1EREREpDVK8EUA59w3/I93mdlLQLpz7tNWxqkxs+vxWsePBe51zi0zs2v9/vvFc/eBDhiQHvawk3Izm3VbtnEnD324nscXFFDjt8CfnhzHVdOHc+7UHAZmJHdWqCIiIiIiUUcJvojPbxBvKP5xYWZHOefebmkc59wLwAtNugVN7J1zszon0p5rypDejM1OY/nG0haHS4yL4bDhfRt1W1pQwuX3L2BraWWj7rvKa/jTq5/z8YZibj17IgPSkxARERERkebUir4IYGa/A94Dfgr8wP/7fkSD2gf1SorjZ6eOJTGu5VPLb84cz/B+vRq+19TW8be31jRL7gO9sXIbry3f0mmxioiIiIhEGyX4Ip4zgNHOuVOcc6f5f629Jk+COHxEFvdffghTgrSQP6RPMndeOJkzD27c+Nmyjbt4cenmVqd973tr2VUeXiv9IiIiIiL7G1XRF/F8AcQDoYuQJWyHDe/Lg1cewscbSvhiaxl1zpGdmcy0vD70Tm3+TvL123fjwnh3wJptu9m0s5z05PjWBxYRERER2c8owZf9mpn9Fe/d9XuAxWb2OgFJvnPuW5GKbV+XkhDH9JFZTB+ZFelQRERERET2C0rwZX+3wP+/EHg2koHsz0b070WMQV0rpfjjstMZrFfmiYiIiIgEpQRf9mvOufvDGc7MnnDOnd3V8eyvxgxM58yDB/PEx4UtDnfJYUPplaTTloiIiIhIMGpkTyQ8wyMdQDSLiTGuPno4eVmhS+fPmJTNieMGdmNUIiIiIiL7FhWFiYQnjCbgpCNGD0jnX5dM5alFhcx5bx27q2oByO2dzNVHDefUiYOCNtAnPUdVTR2rt5WBc4zsn0ZCK69LjITC4nJ2llczPCuVpITYSIcjIiIi0qmU4ItIjzGyfxo/OOlAvjotl807K4iNMYZl9aKPEvseb13Rbn7/8me8sMR73eEp4wfyg5NHMyyrV4Qj22vh+h1c9cACduyu5qovDeN7M0YryRcREZGo0vOKV0R6Jot0APuD2jrH0sKdfLaplN2VtQzOTI665N6F8z7AfdC9761tSO4BXli6mXveXRvBiJp7c+U2duyuBuDud9aydvvuCEckIiIi0rlUgi/iM7NkYIhzbmWQ3j/q7nj2N0sKSvjXO2t59tON1OfAmSnxfOOYkZwzZTB9UhMjG2AHFRaX8+LSTTy1qJDeKQmcNXkwJ40bQGpifKRD67Atuyp4dH5+s+6PzS/g+mNHMjAjOQJRNTcgfe8+1C8tkYxk/QSKiIhIdNHVjQhgZqcBfwQSgGFmNgm42Tk3E8A590oEw4t6SwpKmHXfPLb7pav1SvZU89sXVrB6ayk/+8pY0pL2zWR4554qfvLUp7z1eVFDt3dXF/GDkw7gumNHRTCyzpEQF0NGcjxbSysbdU9PjiMxrudUgT9t4mAMY0tpBceO7k+2XrkoIiIiUUZV9EU8s4FDgBIA59xiIC9i0USRsooalm/cyZKCEjbvLG/Wv67Ocf8H65sl94EeW1DAh2u2d2WYXWrB+uJGyX29v7y+mi+2lUUgos7VOyWB648b2az7N48b1ekNI1bW1HLfu2s5+2/v8dwnG9s0bkZKPBcdNpTvzhjNwUN6d2pcIiIiIj2BSvBFPDXOuZ1metS+s+zYXclLS7fw4IfrWLGpFID0pDiumD6Mk8cPYvTANABWbinlyY8LWp3ef5dsYsY++pq8wuLmNzYAKmvq2LKrguH9ek5DdO119pQcUhJieXR+Pg44f2ouX57Q+dtrxcZd/PL55QB8WriYqXm9GdRDHgEQERERiTQl+CKepWZ2IRBrZqOAbwHvRzimfda20kp+/vRSXly2uVH3XRU1/Pm1VTwybwP/vGQqE3My2bKrgrow2p1bsL6YiuoakuL3vdNWdu/gCWhiXAwD0pO6OZqukZoQxzlTcjlnSi7OObrqZllmSgK9U+Ip3lPNgQPSSE3Y9/YHERERka6iKyMRzzeBm4BK4BHgZeBXEY1oH1BTW8eyjbv4aO129lTVkp4Uz+Zd5ZRV1DZL7gNt3lXJDx7/hEevOZz4mPCeFEqOjyUuzGF7mmlDe3PUqCzeXtW4mv63jh/ZpaX3u8qr+WjtDjYW72FI31SmDetNr25o1K8ra8LkZaXy4BWHsmpLKQflZpKevG+2yyAiIiLSFZTgiwDOuT14Cf5NZhYLpDrnKiIcVo/hnOOzzaUs37iLqtpaeiXGk9c3hQc/XM/jCws4oH8aw/ql8tLSzcwYO4CPvmj5efkDBvRi9MB0/vfZVkb0S2VQRhKbdra8us+ZkkNc7L6Z4GekJHDLWRN5cekmnlxUSO/keM6eksNJ4wZ02TyLd1fxs2eW8vynmxq6nT8tl5tOHdPpjRVW1tSyeksZCXExjBqQ1qnTDmb84AzGD87o8vmIiIiI7GuU4IsAZvYwcC1QCywEMszs/5xzf4hsZJG3fONOL5FfUECNX5d+6tDe1NTWsbhgJ6kJsYzNTuepRYWAV9K+q6Im6LRG9OvF5CGZrNi8i2c/2cizn2zEDC4/cliL70xPjo/lqAP6df7CdaPBvZO58kvDufzIYcTEdH1bD++vKWqU3APMnZ/PieMGcNyBnXdjoaqmjr+9uYbbX1tFfKxx+1cP5pSJgzpt+iIiIiISvn2zOEyk8411zu0CzgBeAIYAF0c0oh5gScFOZs2ZzyPz8huSe4ChfVNYXLATgGNG9+eFJXsTyToX/IH6Uf17MbxfKo8vLGBp4a6G7s7Bu6uKmDE2eNKZHB/LXV+bzJhB6Z2xSI2UVdQw74vtvLlyK8s27qQunMYAOqg7knuAddt3h+i+p1Pns3Z7Gbe/tgqA6lrHH175jMrq2k6dh4iIiIiERyX4Ip54M4vHS/DvcM5Vm1nXZ3s9WFlFDTc9vYStuxq/2/ygnAwW5+9s+B4Xa1TW1DV8jwnx/PXBQ3rz2IL8oP1WbimloqaWsyYPJsbgk4KdpCTEMvOgbL40MosDBnZucl9X53j9sy3c/toqlm7c5ccNpx80mKuOGs7Y7M6/mdDdsjODN+yXndG5jfolx8WSHB9LuZ/UZ2ckE9/CoxTOORbll7BmaxlD+6YyeUhmyEcvqmvrWLCumN2VNUzN601mSue+ck9EREQk2ijBF/HcBawDPgHeNrOhwK4Wx4hyC9bv4NOCnc26D+mTwnMBVb+blnpv2VVBTu9kCgJeDTctrzfvr2n+HvhA67fvYf32PcwYO4BnrzuS5A60jl5dW8eywl0UlpQTH2uMGZRObp+Uhv6vLN/M1//9MYGVDeocPLW4kHnrtnPvrEMaXuO3rzpyRBZHjOjD+2t2NHSbMbY/hw7rC0BRWSWfby4lJTGWMQPTSYyPbdd8hvRN5e9fm8yfX11FVq8EvnPCAS3WUnhhySauf2RRw7r//TkTOW9qbtBhn/q4gB8+sQSA86bkcPPp40lKaF+cIiIiIvsDJfiy3zOzGGCLc25wQLcNwLGRiyryPlq7o/WBaN5i+kdrd3DBIbk8Mm9vaf2gjGTmrysOa3qvLt/C51vKOCg3M+xYAy0pKOGv/1vNK8u3NHRLTYjl68eM4MJDhwDGb/67ghBPElBYUsELSzYyeuDoVudVWV1LTZ0jNbHnnUr7pydx21cP5t3VReTvKCcvK4XpI7PonZrAmyu38qMnPmWLXzvjhDH9+ckpY9rdov8xo/tz1Kh+rT5+sLuyhv979fNG6/6WF1dw/IH96dsrsdnwTy/e2PD5sYUFfPP4UY1u1OyPlhTs5N3V24gx4+jR/Tiwk2u3iIiIyL6t512VinQz51ydmV0PPBbQzQHBW4rbTxQWB39Wu7rOkRgX01AtPy62eVL37uoizpg0mKcXew3vuVDZdAilFdVtjNazbONOZt03j+27G4+/u6qWP77yOet37OHUCYPID6hdEMw9767ja4fm0S+9edIJUFpezX+XbuKhD9ezo6yKMycP5syDBzOyf88q9e+fnsRZk3MadVu1pZRrHlzY6LGK11ZsJSM5nj+cc1C72wgwg3VFu4mNsZBJeG2do6yy8WFVUVXXqH2HQIeP6Mv7a7w3MkzL603Gfv5KvNVby/jaPR+ys9xbh/d/sI7Hrzmcwb3375seIiIispcSfBHPq2b2feBRoKF1MudceMXYUSg9xKvU3vl8G8eM7s/L/nvuPy3YycG5mSzKL2kYJn9HORXVRZw1eTB7qmpJaWO16qR2Vhd/bH5+s+Q+0OMLCjgoJ7PV6ZRV1lBWVU0/gif4c95fx59e/bzh+51vrOF/n21lzmXTGJAe/Nn3nuLjDcWNkvt6Ty0q5BvHjmREO0rxt5VW8rc3V/PAB+uJizG+ccwILp8+rNnr+NKT47n+2JH87JllDd2uP3YEA9KDtwtw8WFDGZiexO6qWo45oN9+/877xfnFDck9wMaSCj4t2KkEX0RERBoowRfxXO7/vy6gmwOGRyCWHmFibiZ8tKFZ991VtaQlxZEQG0NVbR2rt5Zx+qRsNu+qaPQu+22llTz5cSEpCbF86/gR9EmJZ8ee1kvmDxyY1q7n37/YVtbosYBQlhSUkJoQy+6q0C299+2VEDKZXLutjDveWN2s+4pNpXy4ZgenHzw4yFg9R23z3B7w2iCorQvRsxUvLt3Efe+t86fv+PNrqxjeL5XTDmq+Ls6dksuA9CQ+31LKsKxUjh4d+vWHmSkJnBvi+fz9Ue8gjQz2SVXDgyIiIrKXXpMnAjjnhgX522+Te4DDh/elV4hny5/7ZCPnH5JLgt/6+TOLNzIxJ4OZB2WTnrx3nOyMJL59/ChmHpTD1UePCGu+s47Ia1byG44de6qoCpW9BlizbTeHDOvT4jBXTR9O39TgpffbyiqDloADbN5VEbR7TzIpN4PYINXwZ4ztT17f9j2Dv2Bd84ouKzeXBR02KSGWE8cN5PrjRnHqxGx6Je7fpfJtcciwPlwxfRhmEBtj3HD8SCa1s60KERERiU4qwRcBzCwF+C4wxDl3tZmNAkY7556PcGgRk9snhZtPH8d3H/ukWb/KmjoenZ/PaQcNYk9VLW+s3MrLy7Zw2sRBXHvUCNYW7aa8upbiPVXc8+4XOODIEX05ZnQ/3ly5LeQ8z548mJPHDwwrvuraOuav28F7q7dTWLyH7Mxkzp48mFdXbGFXeejmE/qnJ3HxYUN4b/X2oDcExg5KbzGGgelJpCTEsidIDYDBvXt29XyAMYPS+fN5B3H/++vYWlZJ/o5yRg/oxbdPOICEuPbd8z1wYDrPfrKpUbfBIV7TJ+2XlhTPT04Zw7lTcoiNMUb279WskUsRERHZvynBF/HcBywEjvC/FwCPA/ttgg8w86Bs6hz89OklVFQ3ToYra+p4Z1URf71gEjedOobPN5dy41NLGr1Cr94tL35Gbu8U/nzeQUwd2pt/vvNFoyS8f1oC1x49gjMPzgnrXefVtXXc9946fvvCikbdzeDCQ4bw3KcbQyb5M8b05/ARWdx/+SH8+6P1/HfJJpzzWtqfdWQe50zOIS8rNeS8h/RN5XsnHsCvnm8876lDe3OY/wq6nuyLbWWs2lrG9t1V5GQmc/WXhvPl8QPJSgv+HHw4Th4/kNdXbGHhhhLAW8fHHdi/kyKWQLExxoGD1HK+iIiIBGdtbd1aJBqZ2QLn3FQzW+ScO9jv9olz7qDujmXq1KluwYIF3T3bkIp3V/FpQQkFxeVsLa1kaWEJGckJHDu6H4cO70v/9CQKi/fw1X9+QEFxy1XUR/RL5eGrDqO2ro4lhTspr6qjV2IcB+Vm0K8NCea7q7fxtX/NC9ovxuCMgwfz5MeFzfod0L8X919xCIMyvNLlmto6vigqY09VLVm9EskJs7Gy8qoaXl2+lacXF7K1tIKZBw3my+MHkNsn9I2B7lBX5/h8Sym7KqoZNaAXvVMaP2aweWc5l903nxWbSxt1/8M5Ezv8rPvO8mqWbdxJbIwxYXAGKQm6fywisj8ws4XOuamRjkNEPLoCE/FUmVkyXsN6mNkIoDKyIUXW+u27eeOzrdzz7tqG18rFmFeq/5WJg5g+qh97qmooKN7D0oKdLVaLr7dm224++mI7MycNJjuz/S1/v7WyKGS/OgdpiXEcd2B//vfZ1obuEwan8/tzDmpI7gHiYmM4YEDbS0OTE+KYOSmbmZOy2zxuVymtqObvb67hrrfWUOdgRFYqfzzvIA4e0rthmA+/2NEsuQf482ufc8LYAUEbcQtXRnI8R4zIavf4wawtKqO2Dob2TSE+Vk3GiIiIiLRGCb6IZzbwEpBrZv8GjgRmRTKgSFq+aRfffmQRn29t3FBancOr0o73rvvnPt3IttIqkuJjmD4yi4zkeN5ZVcTW0tD3Rp75ZCMzJ3WspfkvioI34FavqKyKz7fs4pczx7JjdzUTBmcwNa93WNX/91XvrNrG395c0/B9TdFubnnhM+6/YhrJ8d6pfkuIRgA3llRQsqeqQwl+Z3LO8fiCAn781BJq6xzfO/EArj5qOIlx7Xt9ooiIiMj+Qgm+COCce8XMFgKHAQbc4JwLXUwcxbbuquAHj33SLLkHSIiN4fxDcnlsQX6jZ/Irqut4bYVXWn7W5MHMW7uDAr/Uv6mVm0upqK4hKb79p5+R/Xrx+oqtIfvHx8ZQUFzBv95Zx9yrD+2294RX19axtHAnBcXlDO2bwrjs4C3Wd4XPg7RaP2/dDl78dDMnTRhIakIcQ/sGXw9js9Po16v9z+B3ti+KdnPjk59S5z9B9tryLRw+vA9T83p+GwciIiIikaQ6jyKAmT0LnAi86Zx7fn9N7gE+WLOdZZt2Be03c1I2j87Pb9bgXqAnPy7k6ANCv9s8MS6GuBjv1FNVU8vi/GLe+Gwr89ZuZ3dldVgxtjT9GPMa2wPIL97D+19sD2uaHVVZXctfXl/FmX97n28+sojT73yPe99bS00Yr+7rDH17NS99H5SRxGML83nq4wIADh3Wl+PHNG78LjbG+O4Jo+mV1HPu99bU1jUk9xceMoSyyhquemAh/3rnCyprmr+9QEREREQ8PeeKTiSy/gR8FbjVzOYBjwLPO+d6/ovNO1FVTS1PLCpo1C2vbwqTh/YmFqipqwv5DvhAb6/axrS83sxfV9ys31cmDiIuNob3Vxfxj7fX8Nbne++lHJSTwXXHjuSEMQOIaaHk+5BhfbjumBHcGVAlHbzk/sJDh/LMor0N7L3w6WbOndKxBuTCsXBDMX/93+qG787Bb19YwbS8Pt3yrvK+qQmMHZTOcv/mTGyMMWPsAB78cD1rtpZx0riB9EtL4rdnTuCtsdtYuKGYrNQEjjrAayyxJ8nLSuW6Y0fy8fpi3li5lU07vcPw1/9dwagBaS3e4BERERHZnynBFwGcc28Bb5lZLHAccBVwL7BfvY9q554a5q3dAXgl7WdNHszKzWU8+XEhXx4/sFGjdS3J31HOlCF9mE/zBP/oA/rxzqptXDFnQbP30H9SsJNrHlrIn8+bxBkHD2ZPVQ2LNpSwemspznmJ39ShfeiVFEetc5w1eTA1tY49VTX0SownJgaeWVRIaeXeBv827tzTgTWyV2V1LYvzS/i0YCcAE3MzmJSb2fBc+Nptu5uN4xysKyrrlgR/7fbdpCbGcsakwdTW1REbE8MTCwtwDraVVbGxpIJ+aUkMSE/ivGm5nDet6296tFdiXCzfPHYki/KLufiexm9L2LmnKkJRiYiIiPR8SvBFfH4r+qfhleRPBu6PbETdz5nDOa/096vTcnl0fn5DiX1sjIVVel+vtq75sN+ZMYrh/Xpxwd0fNkvuG2Jw8LOnl9I/PZHbXv2ceU1qAYzNTmP2aeNJTYjjyY+/wMy7GRHqsYED+qeFHXMoZZXV3P7aKu5+Z22j7l8/ZgTXHzeS1IQ4sjODP8Me2Gp/VxqQlkR2ZjJ1zpEYH8sryzezu8qrzh4XY6T1oCr44UhKiGVqXh8um57H3W976z23TzITcjKbDeucw6x72joQERER6cn2rSs+kS5iZo8Ch+K1pH8n3rP43fPwdA+SnhTPgQPTGNw7mSc/LmxTQt+SpPgYzjo4hyunD2Ph+mJWbGr+qrZAxx7Yn289soiisualtcs3lnLZffP4w7kTAe+GQEttApw0fmDHggf+t2Jrs+Qe4O9vrmF8djqnTsxmal4fzpmSw38W7n3E4Yojh3W49L6iqpZF+SV8sa2Mvr0SmZbXm769Gr/ffs3WUm57bRUFJXtfZ3jRoUN58MP1AJx/SC7DslI7FEckxMfG8K3jRnFwTm/KKmuYMjSz0XLsKKvksYUFPLWogOkjsrj48Dzy9sHlFBEREeksSvBFPPcBFzrn9usWvJLiY7no0CF8uHYHZZWN32tfWFzO8KxUvihqXhW9qdgYY9SAXpzmP29fUV3Ljt2VpCbGs3VX6FfoASTHx1JdWxc0ua+3u6qWxRtKOPvgwTwR8Lx9U1OH9uawYR1/vvyFJZtC9nt52WZOnZhNWlI8v/jKWL48fiAFxXsY2jeVacP6kBjf/le77Sqv5g8vf8aDH25o6DY+O53bzp/EyICaCW99vq0huQfvdYbvrS7ioJwMEuJiuOLIYftsCXdaUjynTBwUtN9/l2zi1hc/A2Dl5jIqaur49Rnj99llFREREekoJfgigHPuJTM7wszyCDgunHMPRC6qyDhseF/+9W7z0upF+SWcNXlwWAn+9JFZ3P/+erbv3puk/+Ecr8Q9Mb7ll3ccdUAWb67c1uo87nlvHY9fcxjEwBMLmyf5R47sy80zx5OVlhhk7LbJD3jlX5/UBI4c0RczY97aHWws2dsOY1pyPMePGdDh+dV7e9W2Rsk9wNKNu3hkXj4/+8rYhm7Fe5q/fWDzrgpmz5zMhMGZ9E7tGe+372yf+O0h1Htl+RZuPPlA0pLjIxSRiIiISGQpwRcBzOxBYASwGKgvxXfAfpfgpybGNUpaA63fvodJuZkszi8JOX7f1AR6pyQ0Su7Tk+I4zG+p/aCcTFISYtlTFbyyREJsDOXVrVekqK1zlFfX8dszJnDe1Fzmrd1BUVklGcnxTBnah8lDMklL6pxE77gD+7Ns4y6GZ6UyfnAG/12yiTrnOP7A/hwxoutaoP8kxHp+fEE+1x07gj6p3s2LiTkZzYY5d0oORx3Qv1n3zlBaXs1zn27khSWbOWBAL86ZmsvYQd3fHuWUob0bPRLxlYmDujW5L95dRVllDf3TEttcU6Oqpo4F63dQWlHDhMEZZGd2T1sNIiIiEt2U4It4pgJjnXMu0oFEWkyMER8bvIrzwvXFHDGiLyeNG8jrK7ZQU9d4dU0e0pvh/VIbJV0JsTHcfv7B5PZJASA7M5mzp+Tw4Afrg86jLdWrE+NiSIyP5dBhfTm0E6rih3LS2IHMeW8dB+Vm8lTAIwGvrdjKcQd2TRINkJwQPGlMS4ojPmZvTYijRvXjN2eM5/cvr6S0oppzp+Zy+fRhXRbXs59u5KanlgLw7uoi3lpVxOPXHE6fbq4pcOqEQVTX1vHKsi1MGZrJeVO7780Ai/OL+fbcxazfsYfzp+Xyo5MPJDMlvOWvq3Pc/8E6fvPfFYD3esi/XTSZwb1TujJkERER2Q8owRfxLAUGAqEftt5PZCbHc8KYATwekKQHen/NdjJT4jllgvdcdJ1zDM5MpqK6lndWFfGfhXtbvT9mdD+uPXo4e6pq+cdba6ipqyM9KZ74WOPEsQN4ZfmWZtM3HNOG9mb++uav2At04MA0Rg/seAv54Rifk8F9l03j+U83NutXWlETZIzOcdiwvvzVVtP0ttPlRw5rVFKdGB/LRYcN5cRxAyivriMnM5mYmK57Dv3pJu0erNlaxsotpRw+vOtusgSTnhzPJYfnccnhed06X4B/vv0F67Z7r2B8ZF4+R4zI4rSDssMat6iskj+9srLh+ycFO1m4vlgJvoiIiHSYEnwRTxaw3MzmAQ2twDnnZkYupMgwM748YWDIBB+gZE81z37iJbv90xL577emEx8bw9EH9GNLaSWxBiP696K0oppfPLOMlVvKGo2fGBfDV6fmcPWXhrGltJKqmjriY2OIjzU+LdjJlDAS/Ku+NLzVKvjl1TVsL6siNsYYkJbUoaR3al4f4mNj+PdHG6iu9TJuM5gQpHp8ZzlseF/+fN4kbn5+GTt2VxMfa1w5fThnHjw46PD90oK/qq+zjR6QxvyA1xfGxRh9Uvav595Lyxvf2KlqwxsnEmJjSEuKo6J672MsSR1ojFFERESknhJ8Ec/sSAfQk0wb2idkCXtTZ08ezH8/3cRRo/txXEADc/9bsYWrH1zYrBo/QGVNHQ98uIHjx/SnV0IcryzfQm3AcLsqqjl3Sk7Imww3HD+SUyaEfv3drvJqXluxhbnzNjBvXTGxMcbpk7I5Y9Jgpo/Maneif1BuJv+6dBr//nA9FdW1XHjokE5ppT+UmBjjjIMHc/jwvuQX7yEzJYGR/Xt12fzC9dVDhvD2qm1s2FFObIzx01PHcMCA7qlNEUppRTUffrGdFZtKSfPbfBjThe0CXHXUcBasL6a8upbDhvfh8Da0xZCZmsAfzzmI6x9eRGllDVdMH8YRI7u39oOIiIhEJ9MjxyI9y9SpU92CBQsiHQartpRy8/PLeWdVUchhzpmSw/uri9i4s4Kk+BhmzxzHWQfnULKnilP/8g7bWnjVXb2vHTqEWud4b/V2NuzY09A9q1cCFx82lN1Vtby4dBPOwbGj+3Pi2AFMG9YnZInnrvJqbnlhBY/Mz2/Wzwx+d9YEzp2aq1epddC20go+31JG39QERg9Mi+j6LK2o5rcvfMYj8/a+cSApPoZ/XTKN6aOyumy+a7aWUbynimFZqfTt1fa3NWzZVUFFVS0DM5NIjFMJvojsm8xsoXNuaqTjEBGPSvBlv2Zm7zrnpptZKV6r+Q29AOec6/6mwSOspraOl5dt5i+vryIpPpazJg9mw/Y9LPCrzCfFx3D0Af1JTYzljc+2NrSWX1Fdx41PLAHntcQfTnIP3mvfSiuqOSgng9o6R6H/Pvdd5TUcOrwvhw3vy/dOPADnwqvG/MryzUGTewDn4MYnl5CXlcohXVjyDl4r/58WlLBqSyn905OYMqR3VL2+rV9aUrc9EtCaD7/Y0Si5B29//OMrK8lMieOT/J1U1zkmD8lkYk5mp813RAdrUwxI7xnrT0RERKKHEnzZrznnpvv/I1u/uIeoq3M8PG8DP39mWUO3Twp2cubB2Yzol8qeqlqqaut4Z9W2kK+5++Vzy7hg2pCw57k4v4SZB2Xz7CcbOWdKDv9ZWEBqQix/vXByw6v1wi3d3FNVw0MhWuevV+fguU82cVBOZptfbdYWj8zbwE+fXtrw/fRJ2cyeOY7eYba0LuFbuXlX0O7jstM5964PG167GBtj/PX8gzll4qDuDE9ERESk2yjBF5EG768p4hfPLmvW3cx4dEHoRvcCOWDHnvBK7+sN7ZvCGZMGkxBrfPO4ERyS17dNzzTX27arksUFO1sdbtnGnSzduIspQ3u3eR7hWLO1jJufW96o2zOLN3LyuIF8eYKSy86WHqSxxQMHprE4v6QhuQevVsXPn13K1Lze9FfpeY+0eEMx//5oA7urajlvag7HjO6611CKiIhEIyX4IgKAc44Xlmxu9ko2s7a1EF5RXUdSG54njo81Cnbs4enFe19BZ7aGsw4ezHdmHEBOG14dZmE2nhcbYyxYt6PLEvyNO8upqm2+zjYU7wkytASzq7wa8F6F15pDR/QhJSG2Ua2SUf178dynzd96WVRWRX7xHiX4PVBh8R6ufWghm3d5LzJ5bfkWHr/2cA7KzYxsYCIiIvuQmEgHICI9w5ptu3lsQfNn15PjYxuVgrYmITaGEf1TOfPgwXxl4iBOmziIMw8ezJfHDyQpvvkp56gD+vG/ldsadXMOnvi4kJ89vZSSNtQGGJSRxEljB7Q6XE7vFJZvDF6tuzPk9E4JuqzD+qZ22TyjRV2d45nFhZx829ucdNtbPL2okLogb2IINHpAOvdcOrXhhk1iXAyTh/RmSJ/kZsMmxceQ1Y4G8aTrbdlV2ZDcA1TV1jVqeFNERERapxJ8EQFgx+7KoK+0K6+uJSXMZ9WHZ6UyNa8Pf/3fanZVNH5PeEpCLKdOGMSKTaUs3+Ql12bQJzWBnX5pbVP5xeV8vKGY0QPTyEpNJDE+ll3l1azeWkZVbR19U73XxtW34B4fG8M5U3J4uYXX+/VKjKOqpo6c3s2Tv84yLCuVX58xgRuf+LRhnV506JCGNgUktOUbd/GdRxdTvyt+57HFDMtKbbUU9/ARWTx0RSYbduwhJSGO3D4pZKUl8s1HFjUa7rszDmCobrT0SAMzEhmUkcSmnRWAd6NmSJ/wa/CIiIiIEnwR8YV6zZlz0D+99RLPQRlJjM1OD1oLAGBPVS1PfFzI8WP6U1Fdy9rtu7lg2hCeX7Kx2bATczIY2b8Xn28p5fI5CzCDI4b3ZfqoLBZtKOEVP4GPjTHOmTyYsybncKifPB9zYH9uOH4kt7++utl0UxNiOfPgwTw8bwP3XNK1b/Q5e/JgxmWns3prGf3TEjkoJ5OkBL0KrTWbdlUQeJ/JOe91cuFITohj9MC9L744ZcIgMpLjWVpYQkV1HckJsRx/oJ7p7qmyM1O462tTmDt/A7srazh7Sq6q54uIiLSREnwRASA7I5leiXGUVTYueU9LjCM5Ppac3skUFJeHHP+IEX154uPCVufz+oqtXDl9GL2S4pjz/jp2lTee3yHD+uCc48mAaTkH763ZzntrtnP4iL5MHtKbjzcUU1vneHRBAU8t2sjfvzaZ48cMID42hvOn5bK7spaNO8tZv30P8bExDMtKpaa2jofnbeDL4wcyJa9rnr+vZ2aMGZTOmEH73ZsWO2TMoDT6pSWyrdSrqt03NZ4DB7XtJRfFe6pYvnEniXGxTMrJ4LUVW3jAf7vCs59s4l+XTGFwG9p2kO5zUG6mknoREZEOUIIvIgAM7p3M5Ufm8Zf/NS75PmZ0P/759lrOPySXufPygzYel5YYR2mTKvktWbm5lKF9UyjZ07hqfnJ8LAPTk3j2k+al+vU+WLOdMw8ezLKNO6n0G//rk5rAi0s289nmUiqqa0mKj+HwEX15bfkWKqpr2VVRzScFJSTExnD1UcO47IhhpAVpeV0iL6d3CvddOo3/rdyKw3Hc6P4M6RN+lfpVW0r5zqOLWeq3sfCDkw5oSO4BVmzaxbJNu5Tgi4iISFRSgi8iDWaMHcC/3l3bqDXy2JgYqmrreHR+PtccPZzHFxSwuUmV6cNG9OXtVduaTi6kd9cUMTVvVLOWz48Z3Y9Xlm9udfzXlm/h6AP68cryLRw1KouYGOOJRQXN3gBw1Mi+/PTUsZRV1hBjxoED0xjRv1fYcQYqKqskITYmrFbdpXXrinazckspub2TGZud0ajf+JwMxudkhBizZU8vLmxI7gEWbSghIzmOnQE1RdITtQ1FREQkOinBF5EGE3Iy+ftFk7nmoYVUVHul47V13v/Kmjo2lpQzrF8qR4zsS3lVLaUVNaQmxnHwkAxebaFhu6acgyNGZhEXG8MfXl7Z0D0+NqZhvi0prawhKT6WaXm9Kd5TzZLCnUGHe3v1dpZu2sX9lx3ChJzMkNOrrK5lcX4J89buoKiskj6piUwb1pvJub0p3FnOvz9cz+MLCuiVFMuV04dz1uQceqcmhL289fPYvKuChLgYBmV0XQN/bVVb53jjs60NN1ZOHDuQYw/sT2yYrxxsj3VFu5l13zzWbd9DSkIsD15+CFPy+nTKtBdvKGn0/X+fbeUXp43j7ne+YFdFNd8/cTRTu/jxDBEREZFIUYIvIo0cPbo/D191GM8t3sjD8zZQXyiemhDLrooaPlizHfDeX5+aGMeeylqqa+uCPr8fSmyMMSAtkYsPG0rJnmrufucLr3uIhv6CqXOOnN4pPLWo5ef+d+yu5oEP1vP7czKCNiS4o6yS/3vtcx76cEOzfmdPGUysGY8tKAC8Gwu/+u8KdlfV8K3jDwgrTuccb32+jX+9u5Z3VxWRGBfD1w4bygWH5DKyf9ueLe8Kry7fzLUPfdzw/bEFBfzj4imcNG5gl81z5ZZS1m33Xn+2p6qWTwp2dlqCf9QB/XjP30cB6pzXAORLNxxFVW0dfdp4Y0ZERERkX9L8Rc0ist+bPKQ3v5g5jv9+60tM9KtK90tLZNPOvY3sVdc6SvZUU1Vbx/trijjqgKywp3/25MHk9kkhPTmeH5w0mv98/XC+N+MAxmSHn/D27ZUQsuS+qScXFbJiU/D33s/5YF3Q5B7giYWFlFXWkNGkWv7f3/yCgjDfz/3mym1cPmc+764qAryaEPe8u5ZvPryIwpLIv+O7/uZFoEfnB38TQmfJ6Z1McsCrF/OyOu+1dTMnZXPBtFxizHvn/Y+/fCDTR2XRKylOyb2IiIhEPZXgi0gze6pqcA5G9u9FUnwMf319NbXOEROihL2iuo7k+FjMaPYcfDBJcbHMeX8dRx/Qj+H9etE/LZF+aYl8kl/SqAX1UHJ6J9MrIY7VW8vCWp7aOscX23Y3e9Z7zdYy/vHWFy2O+8qyLZwyYVCjhv/Kq2spraxhd2U1H6zZwftriigqq2T84Ay+NKpfQ8v5FVW13P3OF41e+1ZvxeZS3ltdxHlTh4S1DF1lQHoiMw/KJsaMz7eUsnzTLsoqq1sfsQPGZWfwwOWH8GlBCcOyUjn6gH6dNu1BGcn85swJXHXUcBLiYsjp4sb0ivdU8ezijazZVsZBORmcOiFbr0MUERGRiFGCLyIA7Nhdxby12/nvp5tYuL4YgAmDMzh9UjY3nDCKP7y8kvHZGXxaELzU/H+fbeWcKTk8HqREONDMg7J5dcUWNn1YwcD0RP6/vfsOj6s88z7+fWZGo957lyzLTe6WbWyDTSc4YHoLJEBCCenJpmzKbtqmLXk3bQMbAgklAQKEhBJ6x4DBvXfZstV7r6M57x8zllVG1ZLVfp/r4kJzzplznpkzluZ+yn3/6LK5fO+fuyirb8Vm4PqlaTz6ke8R9RPOnhHLsUGOoJ/Q0aXnoaG1ncNlDewtrufsmbG8faC8z7X/Lh/R+bzkcGJCnNz98gEefP9o5/ZntxcT5DzIHz+Zy6rsGIrrmnm/y3TxnnYW1HFtLrjdFh2WhZ/99E6qampzUV7fymt7ywD42NwEyupbuHbJ6Hc6LM2MYmlmFCW1zXx0pJKwQD9mJYSNyNp/m80wLXZ4yRSH6slNx/npC/s6HztsNi5blHxari0iIiLSkwJ8EWFnQS1ff3Ib+0u7j4gX1bbw8p5SVkyL4taVGZQ19D2yXt3UzjsHyrlpeRpv7i+nsKa52/7YUH8umB3Pe4crKK71ZOFfmhHFN/++o7NcntuCdw+Vc8WiZP65rbDXbACbgVtXZfLCzmJmxIcSFeykqrFtUK8xISyANpebV/aUcN87eZ0dFUFOO+fOiqPN5e4MdHuyujQkyGnn2xfP4qMjVd2C+xOa2jr4xt+389wXzsRpt+G023qVFsyOC2FeSjgOu+HnL+7F1WFxrKqJOUlhXDI/8bStzS+ta+n2mj/Mq+Qnl89lzay4Ub+2223x3I4ifvDcbqob2zEGrl6SwlfOm0Fy5PhJQjiQj45UdXt8qHxws0pERERERoMCfJEpbm9xHbc/vJGSur6D9w/yqihvaOUbF86kpLalz1Hp0rpW/vLhMZZnRrF2bgKVTW20udw4bDYqGlp5fOOxzunqTu9o9Yng/oTjVc00tJRx2YJk3JZFSV0LBpgRH0qbq4OoIAduy2JHQQ0XzUng8U0DrxdfPi2K+Snh/PXDfH743J5u+5raOnhhZwlZscGcMzOON/f3DvJXz4hlUXokAQ4bSzOiyI4P5fOPbul13AlFNS1sOVbNBXMSuGFZKg91qcN+5vQY2jvcPL2le3LAnKQwjIFntxXx51uXkh49cuvS+xIV5GR+cjg7vLkMVkyL5oKchNMyk2Dj0Sq+8rdtnZ04lgVPbiogItDJdz8+e9SvP1KWZUZ16yTJHmYZRhERgPYON+sPVrA5vwp/PztnTo9hUZoqf4jI4CnAF5nCLMvi4Q+O9hvcn3CorJG/bynkh5fl8NXHt3WrNd7T1mM1XL4wiT/+40ifx6yeEcNb+8t97qtuauef2wqx2wzRwU4sC5IjAwl2Orj37TzmJIUT4LDhsBtiQ5yUN/Q9iu+Z9p/Kq3tK+a9/7e3zuMPljeQkheOwmW7T8rNigrlgTjwRQd0TtOUNMFJb2+zpuPjE8jTWH6rgcHkj8WH++NltrD9U0ev43UV1OGyGAD87bx8o51Mrugf4B0rrOVBaT1Swk4WpEQQ5T/3Xd3iQk/+5bgGv7inDz2742NyRCe4Lq5v5zesHKK5p4Rsfm8l8HyUKN+RV+czX8PAHR7l5Zfqor50fKdfkpuLvsJFX3sj8lAgunHPq1QeOlDdwqLyR9KhAZiSEjUArRWSieGZrIV9/akfn4/994xAP3rqUFVmDT2QrIlObAnyRKWxfSf2Aa+a7emVPKZ89O4t7blzCP7YW8MD6I9S1nCyNZwxcOj+RG5alU1rX0u+5Avzs1A9QVq/DbVHmTbhnM/DstkIaWju6TYu+YVkqb+wro9RHJ4Wf3XDXmiy+/8xuzp0VT4evbHddvHOwnDOzT3Y8+DtsfP+ynF7BPcCyjCj2Ftf3ea6kCM8085kJYTx46zLWH6ygurmNu1/e3+dzthfUcuXiZHb3qA7wwo5ivvK3bZ1T/dctSOL76+YQHezf7+sZjOlxoae0JKCpzYXTbsPRpWPg/cMVndn5Z+8I8xngt7R3+Dxfq8tNq8t3PoTxKDLIyc0rMwd9/InlHr5KNgJ8eKSST/95I41tHTjtNv7wySWccxqWTIjI2KtsbOW/e/yNaHW5eXJTgQJ8ERk0BfgiU9i24zU+k8j1Z+ORKu5ck8WXz5/B1bmpbD9WTV2LCz+7jez4EHKSwrHbDC/uLO73PENNpdbc5vbZIfDYR8e5fmkqfnbD3uJ6SutbCPF3sGJaNLXN7fzx3SO0uDpo7xg4aKxpaifU34Exnunqt6zMYHW27wzvF+Uk8PCGfJ+j0CumRbEwNaLzcWpUEDcsT+PpLQUDVhloc7lJ6VI2rrCmmX9/eke3dfzPbi/inFmxXLEoZcDXNFjtHW72l9Tj6nAzKyFswEzwpXUtPLHxOI9vPE5mTBC3nTWNs2d6AtGUyMDOmRDT+iiBNzfZ98j0ebPiSBmjNfhVja28c6CCfcV1RAY7OTM7hpwelReGq6immVf3lPKPrYV0uN1csSiZi3ISSO4xU+HpLYU0tnk6P9o63Nz3zmFWz4gdkeSDIjK+1Te7Oju1u+qrzKuIiC8K8EWmsIaWoZdDK6o9mTwvOSKQ5AjfwVhOUhhBTjtNbb5HapvaOwgLcHSbAdAfp8Pms9wcwOMbj3PZwiRK6lqIDnaSHh3EG/vKOFp5MtP+YAIkm4GZ8aEYY9h4tIr8qkYq6luJCe09Ur4iK5q7r17Ad/+xs9uI86LUCH6wLsfnFPrBtMFhMyyfFsWmo1WkRwdxrLLR53t0uKxxwHMNVmVjK3e/tJ/HN3ryGZw3O44frsvpd5r8Ix/k879vHgI8nRAfHqni73etZH5KBCuyYvj7XStpbHWxJN332tGzsmO5fmlq5zXBk4jxC+dOx99x+svMNbS286Pn9/DPrSfLIQa/bufhTy9jSUbUKZ27or6Vbz61o9vSjJ2Fdby0q5Tf3rCQhPCT/4asHj1AQ+x/E5EJLCkigHNmxvJmj+VrlyxIGqMWichEpABfZArzcwx9vXV1YxvHKhtJGyAJXFp0MJ85M5PfvXHI5/53D1RwUU48z+3of6QfPAn5XAOMwLvdFgXVzRRUN5MVF9ItuAdw2AcOrldNj+GhDfmUe0dQdhyv5Y29Zfzquu5BGHimWF+9JIXFaRFszq+modVFenQQuelRhAX6+Tx/TlI4/g5bv1PQl2VGcfvDm2lq6yAu1J//unwuAX62XmX8RnKU+429Zd0C7df3lrE8M4o7Vmf5PL6yoZWHPzjabVt7h8WWYzWd0/Gz4oLZUVDLuwcrmJ0U1qsjKCzQj/+4ZDYXz0vkYGk9EYF+LM2MOi3JBX3Zkl/TLbgHaGzr4PGNx1mcHtnnlPrBWH+owmfehY+OVvHuwQquyU3t3HbF4hSe215Mc3sHDpvhjtXTNHovMkU4HXa+esEMCmuaOeCtanPRnHguX6gAX0QGTwG+yBQW6WNt+UD87DY2HKkaMMAHT037TUer+CCvqte+E1POo4L8qGrqfybB2nmJvLGvdMDrnTMzjvBAP0KcDtYtSMIYeP9QJeUNrRworWdhagTbjtf4fK7DZkiKCOTdg55AzBiw22x8kFfFOwcquHZpqs/nTYsNGXTN9elxIXzunCx+9epBn/uvXpLCPW8d7pz1UFbfyo+e28MvrpzHl/+2vfO4pRmRrJ7he+nAcOT36AwBOssIAlQ1tlFe30JyZCAh/n74O+xEhzh7zSwI9k7rP1LRwHf/sauz2kJYgIPf3LCIc2Z2X0se7O/HmhmxrBnB1zJcx6t6vwcAH+RV0urqIMCv/z+Xja3tvHOggkNlDaRFBbFmZmxn7oY9/Uyv3VlY2y3AXzEtmue+eCYHy+pJjwpizggtERCRiWF+SgRP3rmCPSX1+Dts5CSG4e93+mc1icjEpQBfZIpqbe9g/aEKFqSEs72gduAnAOnRQeRXNg16lDU5MpD/uXYh/9xWyH3v5lHdeDKQXzMjhssXJXPzygy++NhWimt9J+W7KCeBvcV13YLJqGAnZ2XHYFmeKc1+DhtnZEbzP6/u71YRwGbgHG+N+3cPVnDOzDiWZkSy8Wh1t2uEBTi4fFEyT20+mXDwzOkxvH/YE+wfr/Yd/A3HrSszcdgMv3vjUOeovJ/d8OlVmSxJi+zWBoCCmmbSooN54s4V7CuuIzrEybLMaGJ9LBsYrqzY3vfzRA6Bdw+W852nd3K8upmFqeH86LK5zE+J4Cvnz+DLj2/rPD47LoQVWdEAPP7R8W6lFOtaXHz58a289OXVnckHx5vkPmZELM+MGtSSgQffO8rdrxzofHzrynS+d0kOdpshsJ98BsE+lnJMjwthusrtiUxZ4UFOVkyLHutmiMgEpQBfZIraXlDDk5sK+LcLstlZWDuotb6rs2N5ZEM+Z80YfDbfxIhA7jp7OlcsSmZfST1HKxpxW5ARc3I6+5OfXcH7hyt5ctNxDpc34u+wcc6sWFra3XyYV0Vhzcl1/zlJYWTGBPP8juJuWfFf2lXC5QuTeXVPKeUNniDfbXmmmy9ICWdRagRv7i8jOy6EKxcn4+qwcFsWSRGBHKlo5LGPjtHe4TlfWlQQEYF+ncmOMvpIFDccYYF+fP6cbNbOS2JvcR2WZZEdH8KM+DC2H6/BGLol4osOcZIUEUh8WADLMge/FrzDbbGnqJaSulYyooPIju87U/7ZM+O4dWU6D32Qj9uCdQsSWTsvkfL6Fr7+5PbOCgXbjtfy29cPcs+NS/j4vESigp3sOF5LRJAfq6bHkBIZRG1zG3/f0rsyQ12zi30ldeM2wF+SHskl8xN5vsuSkUA/O9cvTRtwen5hdTO/e7P7UpR3DlSw6WglGTEhLM3ou4b18iHcUxEREZGBKMAXmaK2H/eM2hdUN/OJ5ek8/tGxPjPqGwPX5abygjczfkLYySCtw22xs6CW9YfK2V1UR7C/gzOmRbFyWjRJ3iRttc3t/HNrEb9742BnhnCAGfEhfOtjszh3VhzX5qZyxaJkmtpcOGw2OtwW33hye7fgPtTfwfS4EJ7Z1n2tNEBTWwePfnSMm5an8ZcPj3V/rd7yc1uP13CwrAGX22JRWgRuNzS2uggLcHBRTgJbjlVz6YIkDpY2dOYGOH92XJ+Z9E9FZkwwmT06DuYmh/PdtbP56Qt7cVsQ4GfjZ1fMIz4swOc58sobeHm3Z+nCRTnxnUsFGttc/P7NQ9z71mEsy5PD4EeX53BdbqrPYDUy2Ml/XJLDDcvTcHVYTI8Lxemwsauwplf5wfcOVVLb3E5sqD9nZcdyVo/3xt9hJy4sgIqGtl7XCfYfv39yQgP8+OG6HM6ZFceewlqiQ/05a3oM83yU+Oupw+3u1tm0KDWCIH871933IVHBfvz+E4v5ztrZ/OzFvd06b75+4YzOWQ8iIiIiI8H0zNgrImMrNzfX2rRp06hf57evH+R/Xj3A3OQwDJ567Q2tLt7aX9Y5ddxpt3H2zFjCA/14eU8Jdc0uAv3svPSVs0iPDqbV1cHDH+Tzk3/t7XX+hDB/7rlxCTlJYfz8xX38+f2jPtthM/DHT+Vy3uz4XvtKapv52Yv7OgP6S+Yn8uqe0n6T1GXFhhDib++17GB5ZhTHq5qIDvEnOsTZWev+hCCnne+unYXNQHSIPxX1bcSFB5CbHtm5lvp0cLst9pbUUVLbwrSYYDL7WN9f39LOrX/eyKZ8z3KD5ZlRPHDzUkICHLy2t5TbHur+GbIZeO6LZw6p7Ft1UytX3vM+RypOLlG4bEES/3Pdwn4Tvz29pYCvPbG927ZzZsby+xsX+6wuMBn84qV93PvWYQAuW5jUrRNqYWoET9y5gj3FdWw/XoMFzE8JZ15yOH72oSe6FBEZT4wxmy3Lyh3rdoiIx+T8piUiA/L3ZtDfVVjHtbmpPLHpOEFOO2fPjMNhMxigw7J490BFt/rz6xYk4ucN7l7ZXeozuAcoqWvlrr9u5qeXz+szuAfPNPqfvbiPpRm9s88nhAfy0yvncc2SFF7bW0pTW0e/wT3A4fIG1i1I6hXg51c2kRYVSHpMME9u6j2FvKmtg5+8sI9zZ8Xxws5i/uOSOazOjsU5jEoDp8JmM+QkhQ8YiFc3tncG9wAfHqmiuqmNkAAH+3wkdXNbcLC0YUgBfmSQP3dfvYD/fmkfG/OruTgngc+fO33ArO4fn5eIMfDn9Ucpq2/lmtwUrlmSOmmDe4A7Vk9jWmwwB0sbCA3o/jqb2lwY4wn0T+Q2EBERERkNk/fbloj0a25SWOfPHx6p5NrcFJ7YVMBLu0r6fM6S9EjyKhr52Uv7+eGls/njO3n9XqOyoY13fZQH6+lQWQNb8qs5e1Zcr33BTgdnZsdyZnYsD79/lCfoHZz35GtmUpDTzvlz4vnze0f7fF5TWwd+dhtuC3743B7iwwJYOy9xwOuNhZhQJxflJPDybs/9unhuAtEhnpkGfSXgiw4e+kyE3IwoHvrMMmoa24kJ9e814lxQ3cT2glpC/O0sTo0kNNAPfz87VyxKYe3cRNrdFiHjeGr+SIkMcnLNEk82/KKaJt45UM7Go9X42Q1fv3CmRupFRETktJj837pExKdF6ZEsSY9kc341yRGB5JU3cv3SVN49WNFt3TtAeKAf586K43hVkzcDfTVr5yawo7D/7PuhAQ6OVjQOqj0nEuP1JzHC91r0ruw243Od+bW5qZw1PZafvrCv3+e3ujqwGc+I91825HPuzDgC+smCPlaCnA5+uG4O53o7RdbMiOkcIV81PYZZ8aHsK63vPH7t3AQWpIaz9Vg1+0vqiQp2kpsRSVTwwNn4A/0cBEb0/nOxo6CG2x7a1JmM8NIFifzk8nmdMzH8/eyMXK7/iSMpIoh7blzCobJ6IoKczE4MG/hJIiIiIiNAAb7IFBXkdPDFc6dz20ObSAwP4O9bCtmUX83yzCiWZkTR3uHGGHDYbNS3tvP8jqLOLPMAeRUNA16jub2DIP/BBccBfgOPcOamR5EWFcixquY+jzlregzre8waCPCzMT81jN3FtZ3Be18cNlvn/vcPV1JU2zzoOvenqq65nc35VZTVtzIjPpT5KRH9TodPCA/kuqWpvbanRAbxh08t4a395RTXNJMVF8KaGbE8vaWQHzy3p/O4JekR/Oq6haRFDa9KwHPbizqDe8/jYi5fmOwzn8JUExvqP6KlDEVEREQGQwG+yBR29sw4fveJRbzQpTTYh0eqBvXc/Iom/B22ftfEt7S7yRpEcBzktLNgENnKI4Od/Piyudz+8GbaOnpfNzbEn4ggJ1WNJzO4B/jZ+PlV8/n6kztoc7k5c3oM7xzse9nAQOvLR0tFQyvf/cfOzqz4AD9cl8PNKzOGdb706GBuXnkycN9TVMuPe+RL2Jxfwyu7S7ntrGnDukZRTUuvbTVN7cM612C0tHewo6CWktpmZiaEMTOh79J/IiIiIlORFgWKTHEXz00kMzaYS+cncun8RC6Zn8jFcxMGXDf97qFybljWe/S4p2UZUczspwY7wOfOziItenCjyGtmxvHQZ5ZxyXxPIjfwJAz81Ip0vvfx2ZQ3tBAd7CQtKpBvXDSTx24/g79+cJSimhYqGtqIDwvo87WtzIpmZ2EtDpvhnJlx3LF6Gi3tHd1KoI2Wdw6UdwvuAf7rX3vYX9I7Yd5w5FU0+nwdG/Iqe22raWqjtLbZZy6Drs6f0z1nQrDTzoJRSiLX3uHmnjcPce0fPuBLj2/j0t+t5/W9pQM/UUQmjYYWF3uK6yit6925KCIiHhrBF5nCmttcvH+4koMlDby8p6Rzarq/w1MeLzTAj9f2lvoclXU67J3Z7QuqfX/Z+syZGSzNiOJX1y3gK3/bxoHS3tP6b1qexo3L04fU7hXTolmaHsmXzp1OY1sHkUFOMrw15dfOT6SpzYXTbiPQ6WD9oQo25td0PvfprYVcuSiZkroW3jtUgduCmBAna2bEklfeiM3AFYuSeXVvKW/uL+P+d/NYtyCJz67JYtYorqXOr+ydq6C9w+J4dRMzE079urEhvqeLz+gyCt7Y5uLpzQX87o1D1DS1c82SFG49M5Ppcb5nYXwsJwH3NfCPrYUkhAdwXW5qn8eeqj1Ftfz2jUOdj9s63Pz0hX0sy4wiNMCvn2eKyGSw/XgN3/vnLnYW1hIZ7MeP183lkgVJY90sEZFxRwG+yBRV19zO7944yB/fPdJrX6vLzcu7SzEGrlmSytsHyiit654E79rcVHKSI7j/5qU89H4+T246jsvbQ5AQHsAXzsnisgXJBDjtzEkK5y+fWc6HR6pYf6icqsZ2pseFcFZ2DItTI4eVxM5htzHDR+DrZ7cRHngyW3xJj4SBHW6LJzcXEBvqz8e9GfIzY4L53zcP4e+ws3ZeAk9uPpmp323BP7cVsauoloc/vZykiMAht3Ug249XU9vcuxPFbjPYjeHZbYVEh/izIDWcEP/hBbMLUiK4ekkyT20u7NwWFujgYzkJnY//tb2Y/3hmd+fjv350jPzqJv74qSUE+vX+cxHodHDVkhSuWpIyrDYNRWWXZRcnHK1spKHFpQBfZJJraevgFy/tY6c3sWt1YztffWIbM+JDfP4dEBGZyhTgi0xBrg43f3jnsM/gvivLgic2HecTy9J4cvPxziR7xsBZ2TEAzEoI46dXzOWWlemU1LbgsNuYmRBKTI8R47iwAC5dkMSlp3nEJcg7HX9mfCgz4j2jy/lVTewoqOU5b+6BL5+fzXfWzsbfYeszy/6hskbeP1zB1UsGXpYwFPkVjdzxyGbSooJYkBLO9oKTlQluWZnOt/++kxJvIrtlmZH85PJ5ZA+w5MGXAKed71w8mxVZMewurCU21J/VM2LJSQoHPFPg//phfq/nrT9YwZ6iepakR7K/pI5X9pSyOb+amfGhXJgTz5L0qGG+8qGZlRBKVLAfVY0nO0KuWpxCfNjAlRVEZGIrb2jl/cPdlxO1d1jklTcqwBcR6UEBvsgUtLuojnveOjzo45/fWcTqGbG8vrcMgM+fndUZGAIYY7xJz8bfF60FqeF88ox0thyr7gzop8eFcG1uKpuOVpFX0cjq7BiWpEfx1v4ymts7+jzX/pL6PvcN13uHKyita6W0rpVFqRFcsSiZ9g43ToeNV/eUsig9khd3eWrdf3Skmp+/uI97blyMv9/QZz1Ehfhz1eIUrlrce8Tdsixa+kiY6Opws6+4jk/9+SPKvDM53tpfzoPvH+VPNy9llbezZzQlRQRx30253PP2YbYeq+ayhUncsjIT2xglRRSR0ycy2I95yeGdI/gANgPJUUFj2CoRkfFJAb7IFPTOgXIGyJ/WTV2zizDvNOjbz8rkjtVZY5ZtfijcbotXdpfyyIbuI9OHyho4VNbAJfMTWbcgiXnJEQAEDBA0Bw+QeHA4DnbJS7D1eA1bj9d02z+/R3WB1/eVsae4jkVpkSPaDqfDzvVLU/lhlzJ6ADlJYcxJCuP+d/M6g/sTWl1u/vTeEZZmRuF0jH7O1tzMKP6QFkFjq4uIIOfATxCRSSHE34/vfnw2n390C5UNbfjZDd/7+BxyRjEviojIRKUAX2SKaWh18ehHx4b8vPqWdh7+9DKWZkQS6JwYvzr2ltTx4+f39Ln/+R3F/OUzyzqD07lJ4cxODGVvse+R+tyMkQ2qAcKC+l8/bjO9O1Lqml0j3g6AyxYmUdnQyh/fPUKrt6Tgtz42k9AAP9471DvbPsA7B8upbmo7bVPl/ew2BfciU9AZ06J54Ytncai8gdgQ/24JQkVE5KSJ8S1dREZMc2tHtzrxg1Xd2MbqGbGj0KLR82FeFQNVuNt4tJozsz2vKyTAwX9eMofbHtpEY1v3qfpfOCeLpaOw3nxZRt/nnJscxr4eZfIC/GykRo18oj+AqGB/vn7RLK7NTaWprYPMmODOpQCzEkLZlF/d6znTYkNGZWaDiEhP8eEBxIcr74aISH/0rUzkFBhjPgb8BrAD91uW9fMe+28EvuV92ADcZVnW9tPbyu787IYAPzutfay37kto4MTLVF7Z2DrgMcermro9XpEVwxOfXcHb+8vZeryG+DB/zp4Rx6rp0f2ue69pamNDXiXFtS1MjwthWUbUoNbJL82I4psfm8l/v7S/2/aYECc5SeH8bePxbtu/fF4202L7L0VXVNPM+oMVlNa3MCs+lFXZMQQNYdZFWnRwr21r5yfy2MbjdPToMblz9TRCFOD3a/vxGp7eUkBogB9XL0npLOkoIiIiMtL0rUxkmIwxduD3wAVAAbDRGPOsZVld54QfAdZYllVtjLkYuA9Yfvpbe1JYoB/nzY7j6S2FAx/cxfLM6FFq0egJG0T5NF+jQTlJ4d2SCA5kf3Edv3x1P6/uKevc9o2LZvC5s6djfEyx78rpsPGZMzNZkBLOhrwqapvayY4PYUVWNAfLGsgrb2BzfjWZMSHccVYmH1+Q2O/5Smtb+OJjW9icX9O57SvnZ/Pl87IHbEt/VmbFcN8nl3DvW4fZlF9NRnQQXzx3emepQfGtocXFN57azgFvroXGNhffvzRnjFslIiIik5UCfJHhWwYcsiwrD8AY8zhwGdAZ4FuW9X6X4zcAo18wfAA2m+Hj8xKHFODbupTFm0iWZg48pX7FtFPruPgwr5K/bynoFtwD/OrVgySEBTA/JWLAsnb+Djurpseyanr3JRDT40I5e2YsNU3thPr7ERIw8K/sD/IquwX3AP/7xiEunpfAzPhTS0h13ux4VmRFU9XQRligH2ETcFbH6dbi6qC4pqXzcXFN8xi2RkRERCa70U97LDJ5JQNd508XeLf15TPAi752GGPuMMZsMsZsKi8vH8Em+pabHsmS9MEnjPvE8jTmTMBsxfOSw7lrTVaf+6/NTWHJKSTOq2tu53vP7KK5rXdpPZfb4u0D5Vzyu/W8uLN42NcI9HOQGB44qOAe8JlfweW2qOlSP/5UBDkdpEQFKbgfpJgQf350WQ5+dkNEkB+3rMwc6yaJiIjIJKYRfJHh8zXf2WdKN2PMOXgC/DN97bcs6z480/fJzc0dQgG74QkPcvLTK+fy+b9u4VBZY7/HrpkRy+fPmT5u6o2X1bXw/uFKXt9bSll9K3OTwjh7VpzPNe9+dhufOyeL5MgAfvfGIUq9Zd4ig/24a810rl6STPApVATYW1zHwdIG5iaFYwzdSg9GBTuJCnbS6nLzpce38vfIwF4l705Fu8uNzWZ6lSuck9S7IyY5IpDpcf2v25fRc8XiFJZlRuN0GGJDlSBMRERERo8CfJHhKwBSuzxOAYp6HmSMmQ/cD1xsWZbvWmNjYGZ8GPd9MpdHPzzGIxvyeyXdCwt0cOdZ07gmN5W401QCbSCHy+r5tye3s+14bee2D49U8cB7R/nsmiy+eG4Wwf7dR5ZDA/y46YwMLspJ4FBZAxaQGRNMYvipZ6I/kW/ujX1l3LgsjX9uK6Kh1UVcqD+XLUxiV6Gnne0dFu8dqugW4Le2d/DOwXLeO1RJc5uLZZnRnD0zlugQ/36vebC0nhd2FvPMtiJCAxxcvSSVj81NIDbU87zc9Eh+duU8fvKvvTS0usiKDeanV84b8LwyupIjR6fygYiIiEhXxrJGfbBQZFIyxjiAA8B5QCGwEfiEZVm7uxyTBrwBfKrHevw+5ebmWps2bRqFFvctr7yBjUerqGxowxhDYngAyzIjSYoIOq3t6E+rq4MvPrqVV/aU9nnML6+ez9W5qX3uH2nVjW1cfs968iub8XfYWD0jlgCHjaqmNqKCnLyyp7Sz4+TqxSn88toFAFiWxR/eOczPX+yeOf/j8xL5yRVz+6zzfrisnlsf3MSxHpn/185N4OdXze82bb6wppnKhlbSo4IIV914EREZJcaYzZZl5Y51O0TEQyP4IsNkWZbLGPMF4GU8ZfL+ZFnWbmPMZ737/w/4TyAauMebwdw1Hv8ITosNGbD02ljbUVDbb3AP8MB7R7hobgKhg8iePxIig538+LJ53P7wJlpdbl71ti8rNpggp6PbrIj4sJMj6PtK6vnlywd6ne9fO4tZtzCJi3ISfF7vlT1lvYJ7gBd2lXDlkhTOnx3fuS05IpDkiMk1alxS20x9i4vEiABC/JUDQERERKQnBfgip8CyrBeAF3ps+78uP98G3Ha62zUZHSipH/CYvcX1HK9qYs4QStydqtUzYvnH51by2t5SDpY24OewUVrX0hnsn7Ai62S2/sPlDbi88/ttBi6em4jDbnC7LfIrG2lqc/msW//Srr6T9e0trusW4E8m1Y1tPPrRMe596zANrS7mJ4fztQtmcPasuFG5Xn1LO/tL6gkL9CM7LuSUyguKiIiInE4K8EVkQhhsiDUWi47mJIWTHR/KA+uP8PMX9/Xa/9Xzs8nNOFmyL8T/5K/e65em8ex2z9p9gOd2FFNQ3cxZ02Moqm0mMTyQpRmRRAb7ExXc9zr6wB4JBieTRz/K5+4uMx52FNZy+yOb+NsdK1g8hGoQg3G4vIFvPrmDzceqcdgM31k7i1tWZo6bJJMjzbIsPjhcydsHy2lscbE0M4pzZ8YRqioJIiIiE5ICfBGZEKYPUEseYEZ8CKmR/ecNaHN1UFLXiuW2iAj2IzxwZNan+9ltfHpVJjMTQnltTym7i+qYmRDKBXPiOWt6TLcM/wtTI5idGEqH22JHYU1ncH/Cwx/k09Dq4ukthQAsSAnn/127gEsXJPLm/rJe1zaGIZU9nEiKa5q5583Dvba3d1i8e7BixAP8l3YVs/lYNeApL/hf/9rL8mnR5JzGWSGn06t7SvnsXzZ3Joz8y4fHuHPNNL510axJ26kx1ZTWtrC7qJaQAD/mJ4cT4Jy8nYEiIqIAX0QmiAUp4Zw/O47X9vYOcE+47cxpfdZnr25q492DFTy9+ThvHagAIDUykFtXZXL2zNgRyUHgdNg4Z2Yc58zsf+p4RJCTX16zgH9tL+aet3sHr+Apg3fC9oJa7nnrMP95yRxuXJ7GXz881rnPZuAnV8xjwQiW4BtP6lrbaWzr8LmvvL5lxK9XVNP9nG4LKhvaRvw640FTm4v/feNQZ3B/wh/fyWPdgqRJ26kxlewoqOGuv2ym0Pu5vn5pKt9ZO7vP35MiIjLxKcAXkQnB38/Ov188i7K6VnYU1vbaf/tZ01g733dyutK6Fn78/B6e39F9Dfvx6mZ+9Pwe7l8fwD03LmFhagSF1c3UNrcR5HSQHh00auuvc5LCCXY6+PP7R2lu7x3A9hw9fWZbETctT+N7H5/N2nmJ7Cmqw99hY1FaBDlJ4ZN2tDU5PIicpDB2F9X12jcnKWzEr7diWnS3DpTUqEBmJw48e2Qiqm1uZ1dR739Lbsvzb+Z0BfiWZbH+UAXvH6rEboNV2TGsmBZzWq492T3+0fHO4B7g8Y3HOW92PBfMmZz5OkRERAG+iEwg0+NC+eOnlvD+4Upe2VNKSW0LC1LDOXdWPMsyonxOPbUsiz++k9cruO+qqKaFz/91M7edlcl/v3SA5vYOHDbDtbmpXLUkmSXpUX0+91RkxARz++pMfvv6oW7bQ/wddPQYVu1wW+SVN7I4PYpV02NYNX1yBEANLS4C/Gw47Daf+0MCHHz9wpnc8cgm2jtOvieL0yJYM2Pkk+xdMCeeX1+3kJd2lZAcEcAVi1OIDQ0Y8euMB1FBTs7MjuEd74yWE/wdtgGXuoykN/aVcdvDmzhRtff/3s7jz7cu5azs2NPWhslqq3e5SVdldSM/80VERMYPBfgiMqHEhwdyxeIUrlicMqjj95XU8+D7Rwc8rrCmhZ2FdZ2j6S63xaMfHePprQU8cPPSbgF1Q4uLvSV1uDrcTI8LOaUA8JNnZABw3zt5tLS7mZccxrzkCP626Xi347LjQmjqY6r6YDS0ugh22sdNRvj8ykb+siGfZ7cXsSAlgtvPymRpZrTPY8+ZFcfjd6zg3YPllNW3MjcpjDUz4kiOHPkygP5+di5flMzli5JH/Nzjjb+fnbvWZLHpaHW3z9a3L55F9iByXoyUv2083hncg+ff3vM7ihXgj4B1C5PY+9L+zsfGMGlnpIiIiIcCfBGZ1DYeqeosSTeQg6UNTIsJJq+isXNbS7ub7z+7kyfvXEVksJP1B8v5yQt72VvsKdsXF+rkWx+bzbqFSfj1MQrdn9hQf752wUyuy02jsc3FscpGbn9kc7eAx2EzLJ8WTXz40DsSDpXV8+f3jvLa3lJWZ8fy6TMzmZ048lPbB3KkvIHa5naSIwOJCvbnt68f5O/eJIKv7Cllw5FKnv/CmaRFB/t8/pL0yNOaSLCivpUNRyrZW1yP025YmBZJbnoEwf6Ta+3yiqwYnv7cSjbkVdLc1sGClAiWZo7OjJW+VDX2znFQ39J+WtswWV25OIWa5nYeev8oCWEBfOOimSxKm5wJOUVExEMBvohMar6Ch74U1TQzIyGUvIpG/B02bliWitNho6S2hd+9cYjF6RH84JldVDSeDD7K6tv4tye3E+Bn4+Pzk4bdzhOj0dlxIfzp5lye3FzAobIG0qKCiAx2khDmpLXdza9fPUBIgIMzpkUzN7n/NdKt7R389IV9vLHPk5jwyc0F5JU38PBnlp22QLWktpk/rT/Kg+8fpa3DTWyIk+9dMoentxZ2O66u2cXOwto+A/zTKa+8gX97cjtbj9V0237NkhS+vXZWv+UKJ6JZCWHMSjj9nT4nXJ2bwqb87lPJL8rxnU9DhiY+LIBvXzyb21ZNw9/PpuR6IiJTgAJ8kSmspb2D3UV11DS1YbcZUqOCyBqBbPLjiZ9j8KPqgU47re0drMiKZm5iGDsLa9lwpKpz/5/fh5uWp/PXD/N7ZR7/0/qjnDMrjiDnqf1aNcZwzqx4Vk6P4UBJPUcrG4kO8eeRD/L55SsHO49z2m38302LOXd238myjlc1dQb3J2w+VsORikbmJkecUjsHw7Is7nnrMA9/kN+5rbyhjX9sLSQ80I+apu6jtKEBY/8nybIs7n/3SK/gHjwdJAtSI7jpjPTT37BJ7JL5ibg63Dyw/ih2Y7h9dSYXzVGAP5JiwyZXp5SIiPRt7L9Nichp19Dazmt7ynhs4zE+zDsZwPo7bNx0Rjofn5c44vXFe2pqc7G7sJbaZhdhgQ5yksL6HVVu73Czq7CWPUV1uNxu4sMCWJoRRXRI7y+uxyobKalrwd9hZ1bC4NebLkqNoKi2mdb2Diqb2roF9wCWBS/tLmFlVgzrD3VPTLb5WDWVDW0ERY3Mr1V/h515KRHMS4ng6S0FvLirpNv+tg43//HMbhamRhIV4vR5jvAgP6JDnN3KvAU77UQE+T5+pO0vqe+Wkf6E9QcruGVlOvevP9q5be3cBBaljs3UYVeHm7qWdkL8/civbOSJHvkPunrwvaNcvjCZkHHQGTFZhPj7cdMZGVy5OAUDBJ5iJ5mIiMhUpr+iIlNMTVMbd7+832fg1epy88D6I/xlQz733tj/6PBwWZbFG/vKuOetw2zuMi13UWo4nzsnm/NmxfUq+ba/tI7fvn6Qf+3oHuQmhgfwnbWzuHhuIg67jaMVDfxt43EefD+/M1neNUuSmZ0Qyt6S+gHb5nTYSI8O5ukthSRF+E7gVl7fyhk+1iiHBToI9JHFfyRsye+dCRugsKaZ/WX1rAjxnZwuNjSAH67L4SuPb8PltrAZ+MG6HFJOU4b0qsa2XtUAwJNE7fW9ZXzu7CxK61o4c3oMa2bGEjoG04eLapq5++X9vLanlBVZ0dy4PLXfnA1HKxtpaG1XgD8KTnX2i4iIiCjAF5lyHv4g32dw31Wry81df93Co7cvH/EScS/uKuELj27pNcV96/Fa7nhkE7+9fiGXLjiZwfxweQOf+8sWDpc30lNxbQtffGwbv7zGzdKMKL7w6FZ29aiX/uTmQm5ansaxqiYa+8lCf/WSFD48XMH0eM9aZIfN99R+f4fNZwB4+5nTiPExm2AkBPn3/avaf4AlCJfMTyIrNoQjFY2kRQUx5zQm2EsID8DfYaPV5e61LzYsgGe3F1FQ3cytqzLGbF378zuK+cfWk8n+psUEE+hn7+wg6mlGQojWMYuIiMi4NfSUzyIyYR0ua+D3bx4a+EA8Qf5z2/uuHT8cJbUtfO+fO3sF9ydYFnz3n7soqmnq3Pb89iKfwX1X339mNxsOV/YK7k94bONxLluUxJoZvctupUYGcvfV84kJdtLuPpm9u761nXgf61avXJTMOwfKu21bnR3LlUsGV7ZvOFZM8z1CPz8lnNrmgbONz04MY+28ROYmh/eaHTGapsWG8IVzpvfabjMwPTaEgupmnHYbIWOYmb6mqXsSxvKGVm5Z2X2Nfai/g2Dv7IxbVmRopFlERETGLX1LEZlCPsir8Dma2pdHPzzGTWekMz1uZBLvfXSkkqrG/gPSumYXHx6p5opFQRTVNPPA+iMDnrexrYPNx3xPYwfocFs8+uFxfn3dAr547nQOlDbgtiziw/xZkh5FVLCTlrYO1syM5bkdRWzKr+b1vWVctjCJ2uZ2PjhcSVigH2tmxFJW38p/Xz2fvIpGXB1uZieGsTwzmsjg0VvXvmp6DF+/cAa/ff0QbR2e+5cdF0JmTDA/+ddelqRFDjiq7HZb7Cis5UBJPXFh/uRmRJ6WwPrmlRmEB/lxz5uHKKlrZV5yOPNTwnluexEAn1yRTkbM2GXOP2NaNH98N4/2Ds8ShgvmJJCTFMae4nq2F9Rw8dwESutasRlYlhnFxXMTx6ytIiIiIgNRgC8yhRwobRjS8W0dbo5WNoxYgF9c2zK442qavcc3U9fiGtRzmvuZfn9CQXUzly9KITej97KDAKedFVkx2GyGRz/0JFl7ZlsRUcFOzp4ZS12Li39sLWTdgiQunps47JFwV4ebN/eX8freMoyB82fHs2ZGLA573xOqnA4bcaH+XJgTjwFsNsPxqiae2eYJkkvqWgYM8J/ZVsjXntyO5Z09ce2SFP5z3ZxuQX5FfSub86tpdblZkBpO+giUrAsL9ONTKzJYkRnNC7uKeX5HcecSkUvmJ/LpVRmnfI3qxjbeO1zB/pJ6IoOcrMyKZtYglyKsnhHLY7ef4SlJGB3EimnRGGP43xsW8eLuEr719x2d79lb+8tJjwriIgX5IiIiMk4pwBeZQpoGEQT3VF7fOmLXdw6yZN2J42xm8EF032nRTgruZy37CbnpUfxwXQ7ff3Y34EkU9/LuUgBmxIVw15qsU5rm/vLuUj7/6JbOx499dJx7b1zMxfP6Dxojg/15fkfvJRMxIU4ig/oP7ktqm/n+c7s7A1WAJzYX8PH5SayZ6Vm2cLSika88vpVtBbUAhAc6uP/mpSz10RkyHNkJodwZFcSKrBjK6ltICAtgXnI4/n6nlpiwuqmN/3hmV7f3JsTfwZ9uyWVZpu+lDT3lZkT16vQJDfTjQEl9t/fM5bZ4YWcJfnbbkBJQtne4WX+wgg+PVOGweWYNrJoegxnC51tERERkMBTgi0whieEBQ35OXfPgRtAHY0FK+CCPiwAgLSqIpIgAimoGHvnPiu1/loExsGQQpf/sNsONy9PIig3m5d2lvHeogoggP65anMJZM2JJixp+Bvo2l5s/vdd7ycFDH+RzwZz4fkfxl6RHsDwzig97lO776gUziA3t/75WNrb5vI+l9Sff1zf2lXYG9wC1zS7uf/cIi1Ij+m3XUAQ47SzzUYHgVHyYV9mr46Oh1cV97+SxMDVy0J1KvgT49X6uMYa7X9nPsszoQWfSf2ZbIV9/ckfn49+/dZh7b1zCx+aq1ruIiIiMLCXZE5lClg8xuJoZH8qre0pGbBR/bnIE6xb0P1L9sZwE5ns7AqJD/LntzGkDnjcu1MnqGTGE9DNC/+lVmeQkDa6DwWG3cWZ2LD++fC4vf3U1f79rJTeekX5KwT2A23JT0dD7vSyvb/FZTq6rqGB/7r56AV+/cAZZccGsyormN9cv5OrFAyf3S48KZk5SaLdtxsCshJPbjlc193re5vyqYc36OJ36Wnby+r4yn+/1UJwxLbozuR5AdLATl9vN3uJ6KhsHd+7Khlb++6V93bZZFvz2jQM0tg6/86y9w82uglq2HKumuW3kOuFERERkYlOALzKFLE6PZGHq4IJcgHkp4WzKrxnU+vbBcDpsfP3CWZyVHeNz/8qsaP794lndpm2vnZfAWdN9Hw/gtNv4xVULWJIexZ9uyWV2YvdA1t9h44vnTucL50zHPoyp9X5224hNpQ7wc3DDsrRe229Yljaoqepp0UF84dxsXvryah75zHIuW5g8qOeFBDj4r8vndgb5kcF+/OrahcxLPvlZmNXjfQNPZ8t4LwkX3Udyw5SIwG7B+XAsTo/kxuVprFuQxLoFSSzLjOL5HcXMTQojepAlEWua2ymrb+u1/WBpQ2fFhqFqbe/gf149wCX/u54r73mfbzy5Y9AdDjI4rg43m/Or2JJfjXuAzjcREZHxRFP0RaaQIKeDO1dn8a2/7xgwed3KrGj2FtfhtNtwOkZurXBadBC/uX4hHx6p4o29ZRypbCQjKpjzZsexfFpUr3roCeGB/PfV8/nbpuPc/+4RGrqMep4zM5bbzprGKm8HwLLMaJ64cwVb8msoqm3CabczPyWc7PjewetYuXpJCg0tLu5fnwfA7WdN44pFyUM6h98wpswvToviiTtWcqy6ieggJ/E9lmucPzueG5bV8thHngR4S9Ij+eSKjCFf53Q7Iyua6GA/KntUZ/j8udMJDzq1ygZBTgdnzYjltoc2dVaf8HfY+MZFM/udLdJVYngAS9Ij2ZzfvcrDRTkJxAyyk6CnHQU13PvW4c7Hz+8s5mPzErhkftKwzie9/WNrId94agfGwK+vW8hlC4f2b1RERGSsGMtSz7TIeJKbm2tt2rRp1M5fUtvCvW8fYsPhKvaX1vfa72c3XJSTQFFNM1uO1fCJZWn85Iq54yIhWEFVE/tK6ml3u4kPDSAnOQx/x6mN0o6VklrPlPiE8MAxbslJrg43+0vraWl3MzMhZEzr0w/FtuPVPPRePi/uLiYlIog71kzj0vmJBI5Qvfq9xXVsOlqFBeSmRzJnkEs9TvjoSBV3/mUT1d5OiOSIAO69cQnzUyOG1Z4395Vy64Pdf0f8/Mp5XO9jdogMz+0Pb+LVPZ7kmlcvSeGX1ywY4xaJjF/GmM2WZeWOdTtExEMj+CJTTEJ4APGhAfg5DFcuTqbd5aamuR0/u43wQD863BZvHyinttkTjFyYEz8ugnuAlKggUk5xHfx4MZ4C+xMcdtug8xSMJwtTI5l/bQTfaZhNoNM+6OR3gzU7MYzZgyy758uyzCie+8KZ7Dheg83YWJgWQcIwEl6eMC8lgpykMHYX1QEQFexHbsbACSSnstb2DjYfq6a0toWcpHBmJPQ/q+fCOfG8uqcUY+hzSZGIiMh4pABfZAq6ZH4SL+ws5ukthdiMp1Z5m8vdK6HarasyhpyYT2Qs2GyG2LDhTXk/HVIig0iJHJnOqZgQf37/icW8d6iCVlcHK7NimB43fpahjDeWZXHfO3n8v1cPAJ7qCH+6eSkr+8ntccWiZKbFBGNshoXeqh4iIiITgQJ8kSkoLTqI39ywiJ88v4c39pdT09R9/bLdZvjc2Vl85szMEZvmPJFVNrTyweFKdhfVYbd5RoyXZ0YROs4T0E1U5fWt2G30yscgJ2XEBJMREzzWzZgQDpc38pvXD3Y+bml38+hHx/oN8B12G0sy1LkpIiITj765i0xRWbEh3HPTErYeq+G9QxUcLm/AabcxPzWclVkxzEoIHTdT88dSYXUT33xqB+8druy2/eolKXx37Wwi+8jiLkPndls8tbmAHz63G4fdxi+umsfH5vZfVlFkIG2uDlw9MuHXNQ+vgoGIiMh4pwBfZAoL8LOzIiuaFVnRY92UcesfWwt7BfcAT20uYFlmFNfmpo5BqyannYW1fOvpHXhyv3bw5ce38dJXQsmMCRnrpskYK69vobKhjZTIoCHnWJgeF8qVi5N5ekth57brlurfrYiITE4K8EVE+lDV2Mb964/0uf/pLQVcvTgFm633TIeC6iaOVzURGxrA9DgFqIPR2Oqia2GXVh95IWTqeXl3Cf/xz52U1bcxLzmcH12ew6LUwScVdDpsfPvi2ayYFk1JbQvzUyJYNV2dmiIiMjkpwBcR6UNzu6tXfoKuCmuaaXe78bedLNXX4bZ4eksBP3xuDw2tLpx2G188dzqfPjOD4AlSdm6szEwIZXV2DO8crADgqsXJZERP/KoJLe0uHDYbDrttrJsy4eSVN/Clx7bS6nIDnlkeP3l+L498ZtmQ8oPEhvpzjWbbiIjIFKAAX0SkDzHB/qyYFsUHeVU+958zMw5/h73bto1Hq/jGUzs6H7d1uPl/rx4gIzqISxcmj2p7J7roEH9+ec0CNuRV4rDbWJkVPeE7RV7fW8oPn9tDWlQQ/3HJbGYmDL/c3lSUV9HQGdyfsCm/muLaFqbFamaMiIhITxpOEBHpg7+fnVtXZfrc52c3XDI/qdf2rceqfR7/tndUWvoXFxbAuoXJrJ2XSETQxE5gWNnQylf/to1jVU2sP1TBs9uKxrpJE05yRBD2HktgpseFEBOiCgsiIiK+aARfZApqc7nZWVjDxqPV1DS142c3TI8L4YzMaOLDA8a6eePKubPi+M31C/n5i/sorm0BYEZ8CN++eBbtrg6+/fQOCmuaOW9WPBflxGPvo/KAn92zva65nV1FtThshrnJ4QSpDOGkZbMZgpx26lpcgCeppQzNrIRQfrguhx8+t5v2DouwQAc/uHQOYSpRKSIi4pO+WYpMMftK6vh/r+zn1T1lvfZFBfvx7xfP5rIFSfgrGAE89bAvW5jMmdNjOFBaj8NumBkfxkdHq/jknz7iRPWtdw5U8N6hcm47axoOm+lVluucmXHklTfwjSe3s/lYDQAX5cTzo8vmEh+mTpXJKDLIye9uWMyD7x8lKSKAyxb1nvEh/TPGcNMZ6SzLiKK0voWs2GCSIiZ+XoaJ6GhFI7sKawn2d7A4LYLwCT7DRkRksjKWZQ18lIicNrm5udamTZtG5dz7Suq47aGNFFS39Hvcd9bO4tOrMpUUrA9trg5u/vNGPvBRPu+vty2jqc3NT/61h6OVTUQF+/HNj83iikXJ/PGdPH75yoFux//iqnlctzTtdDW9lzZXB3abrdc0aBk9HW6LQ2X1tLS7mR4XPOHzDMjk98HhSm5/eBMNrZ7ZKGtmxPCLq+aTEB44xi2T8cAYs9myrNyxboeIeGgEX2SKaO9w8+vXDg4Y3AP89IV9zE0OZ2VWzGlo2cTT2NrBnqI6n/tKa1u5ckkKSzMiKa5tITrYSZx3hH5vcX2v4wuqm0e1rX1pc7l5bnsRD6zPIyrEn8+unsaZ2bH9PmfLsWoOlTWQER3EssypVWbMsix2FdbS1uFmXnIETsfwOr+Kapr5zesHeWLTcSwLFqWG84N1c1mQGjGyDRYZIS1tHfz6tQOdwT3A2wcqeGt/OdcvG7vOSRER8U3DcyJTxK7CWl7aVTLo41/f23sKv3iEB/px7qw4n/syY4MBiAhyMjsxrDO4B1ia0bt298yE0NFp5ADeO1TBvz25nT3F9aw/WMFtD28ir7yhz+M35FVyw30b+OZTO/jEHz/k7QNT6/Px/I5iLvv9e1x17wc8+P6RYZ/n0Q+P8beNnuAeYOvxWr7x1HbqmvsuxyiDU93UyrsHy9lwuJLGVr2fp6qopokNeZUcrmhgi4/koQU1Y9M5KSIi/VOALzJFbDrqu9RbX/6yIZ/C6qZRas3EZrMZPrUinajg7lOrv3J+NnOTw/t83tp5idy8Mh27zeDvsPG1C7JZM6P/UfPRcqC0+2yClnY3h8sb+zx++/GaznJlLrfFlnzf1QImq3/tKOrMt/Dn947S2GU0c7CqGlt5eMPRXtsPlDawp9j3jBAZnLzyBm5+4CM++cBHXP/HDXzjyR1UNAw8W2mi6nBb7CqoZf2hcqoaW0f03JZl8dz2Ij7263e5/r4NfP6vm1k1vfdsruw4lSkUERmPNEVfZIqoHeIIYavLTX3L0IOYqWJRWiRPfXYlH+RV0tDiYk5iGMsyo/DrJ29BXFgAP7g0h1tXZmK3GVKjxi5ZWEZM92v72Q1pUX2vp03oUV0hcYqtvV2cHsVLu0sBWDMjliDn0JNQGmPws/n+fCjdxal5ZU8pOwpPdpK8sKuEi3ISuGxR8hi2avQ8+N4R/uuFvVgWzE0K43c3LCIzdmQC7l1FdXzlb9vo8PZoHa1sZnF6FFkxwRyuaMQY+OQZ6WPWOSkiIv1TgC8yRTj6CCz6fY6ijn5Niw1h2hC/VBtjyIgJHqUWDd7q7Fi+f+kcfv/mIaKCnHz9opnMTAjr8/gL5sTz0yvm8mFeFYvSIvn4vMTT2Nqxd8OyVJIiAmhtd7N6Riymj3KI/YkMcnL76mn8/MV93bYvz4wiJ6nvmR8ysIKq3rONSuuHNoLf2ObiSHkDwf4OMmPG7+j0obIGfv7Svs5lHruK6nhzf/mIBfi7C2s7g/sTnt5SyI8vy2FGfCjB/g5mJYTq74OIyDilAF9kipiRMLQvf0vSIkmKUPm2ySrQ6eDWVZlcsSgZP7uNYP/+/xwEOR18Ynk6n1iefppaOL6EBvhxyfxTL3N37ZIU2l1u7n37MC3tHVy2IJm7zskiyKk/x6dicXokf/nwWLdtQ+k0qW9p52cv7OXRj47j77Bx742LOXd2/Eg3c8gsy+J4VRMBfvbOfB6trg7aO7oH4M3tIzfbqq/fBa0uN8unTa3kmiIiE5G+UYhMEcsyo4kP86e0bnDrNW9YnqqgYwqImOS1rF0dnrwB42W0MSrEny+el801uSm0uSySIwNVonAEXJgTz/cvncMf3jlMiL+DL52bzRlDCEa3H6/h0Y+OA55A9mcv7uOs7Fj8hlktYSSU17dyz1uHeOSDfIKcdr69djZXL0lhelwIVyxK5h9bCwEI8LOxYtrIVTzJTY8kMyaYIxUnc3KE+Dt8rsMXEZHxR9/eRaaImBB/vn3xLL7yt+0DHrsgNZwz9WVuQimra6G9w01SROCwpo9PRhvyKvnZC3vpcFt89+OzWTGOyj6qfvjICvH349ZVmVy9OAWbzQw4I6Wnnh1Awf4ObGPc8fLirmL+/N5RAOpaXHz76Z1kxgRzxrRovvfx2ayZEUtNcztL0iOZ109yz6FKjAjk3psW8/SWAl7fW05uRiTX5qYwO7HvJTwiIjJ+KMAXmUI+Pj+JuhYX3392d+f6zZ4WpoZz99ULFIBMEOX1rTz6UT73vZ1Hi8vNVYuTue2sacyIH5vye41tLnYW1OLqcDMvJYLwQL+BnzQMu4tqKaxuJi0qiFk+Ao/a5ja+9rdtFNV61mF/+fGtvPyVNUQGT+4ZC1Nd6DA/b4vSIvjGRTP49WsHiQsN4LtrZ4/5zIodBbW9th0ua+CMadFEh/hz+SgmEJyVEMZ31s7hWx+zxvx9EBGRoVGALzKF+Nlt3LQ8nVkJoby5r4wH38+nub0DgKXpkVy/LI1V06MV3E8gD39wlN+9cajz8RObCsgrb+TBW5cREnB6f8XXN7fzg+d28/ctnqnDq6bH8P+umT/in6f1B8u57eFNtLS7CXLaeeDmpazI6j4du81lUdOlckRts4tWV8eItkMmD3+Hnc+umc6Vi1MI8LMTOQ6WrsxJ7N1JlxF9eitvKLgXEZl4FOCLTDE2m2FZZjTLMqP51MoMGlpcOOyG+LAArbmfYIpqmvnju3m9tm/Kr2ZHYQ0rhzklfW9xHW/tL6OmqZ35KeGcMytuUJ+NjflVncE9wHuHKlh/qIKrl6QOqx19eWRDPi3tnrX1TW0dPL2loFeAHxvqz48uy+GbT+0A4IfrctRxNYEcrWikpb2DabHBOB1DL0k4HHabGVflHy+el8juojqe3lqIv8PGv10wkyUZUWPdLBERGef0bV5kCksMDwRV55qwWto7OgPdnprbTo5WN7a285cNx3h+RxFnTIvhtrMyiQ/zXSFhf0kdN96/garGk6Pf31k7iztWZw3YnobW3iPkvradKr8e66WdfSRCu2pxCovSIrHcFllx47fsmZxU39LOA+uPcM+bh2nrcHPBnDj+/eLZZI1QCbiJJDE8kF9cNZ/PrsnC389GWtTYl9cUEZHxb3ykFRYRkSFLiQzigjm9S3mFBTqY3WV675v7yvnZi/vYWVjHH9/N49ltRX2e892DFd2Ce4Bfv3aQoprmAduzMCWCxPCTHQdBTjtLMyIH81KG5JaVGUQEedZax4b6c/WSFJ/HGWPIig1henzolE48WFbXwnsHK9hfWjfWTRnQm/vK+PVrB2nzVj94dU8Zf15/ZIxbNXYcdhvZ8aEK7kVEZNA0gi8iMkE5HTa+fF42eeUNHC73lLQK8Xfw62sXkhRxcq1uZWP30ojlDX2XSqxv6V1Pu6mtg6bWgetsp0UH8eCtS3n7QAXtHR2syoodUi3ywcrNiOKfn1tFcW0zSRGBpEcr+OlLcU0zX3hsK5vzqwn0s/OnW3LHVTWBnvYU1/fa9uz2Ir524UyilCBRRERkQArwRUQmsLnJ4Tx550q2Ha+m1eVmbnI4qVHdE3EtzYgiJsRJRUMb/g4bq7P7DvAWpEb02nbhnHjSBhlEz0wIY2bC6JfTyogJJiNm/AT2tU1tVDa2ER3iP2qVA4ZjR2Etm/OrAWhu7+CNfWXjOsCPDekdxM9OCCPYeXrW4YuIiEx0CvBFRCa4qBAn587uPVX/hDlJ4Tx+xxkcKmsgKSKQ+SkRfR575vQYfn7lPO5+ZT9VjW2snZfAl8+b0ec6d4EDpfV8/cnt7CioZUl6BP991YIhrflvc7nZW1xLdVM7yRGBZI9gicPIID+MobMsZl+5F8aLc2fF8fjG4xwsawDA32Hjc+dm4e+nAF9ERGQwjNVXMWwRGRO5ubnWpk2bxroZMsVVNLTS2OoiOSIQh13BfX/ufnkfv3/zcOfjr5yfzVfOnzGo5x4ub+CXL+/nxV0lADjtNu5cM42bzkinrrmdqGAn0SH+w26b223xwq5i/rWjmDmJYVy/LI3Y0OGf73QoqmnmoyNVNLa6WJQWwZxRWOYhIiPHGLPZsqzcsW6HiHhoBF9EZBS1ujrYkl/DnuJawgP9OGNaNCmRp7eW9XDEhPgTcwqB5VTS0CNvQeMg8hUAtLZ38LMX9vLa3rLObW7LorqxjU898CH7SxuIC/Xn2xfPYt3C5GHVJLfZDJfMT+KS+UlDfu5YSYoI5PJFyWPdDBERkQlJAb7IFFTZ0Mr24zXUtbrws9nIjg9hxghOCxaPDrfFn9Yf4Rcv7e/clhIZwH2fzJ3Qo5Ibj1Sxq6iW+LAAzp0ZR8AIrY+uafLkCAh0Tqw/TRfNTeCJTQU0t3cQ7LRzvo/KBr7sLKztFtwDXJgTzz+2FtLoLXNYVt/KV5/YTkyoP2dlx45420VERGRymVjfokTklJTVt/D89mLuX59HUU1L53an3cb1y1K5eklKv+uzZWj2FNVx98v7u20rqG7hqc0F/OcEDfA/zKvkkw981FnG7PuXzuHWVZmndM76lnYe/fAYf3gnj8TwAL5x0UzOnhk3Es09LVZmxfDUXSsoqG4mPSqIWYmDSzJY1djWa5vDZusM7rvadLRaAb6IiIgMSAsrRaaI4tpmvvXUDn70/J5uwT1AW4ebhz/I56YHPuTDvMoxauHkk1/ViNtHmpPX95XR5uodxE0E247XdAb3AE9sKsDt60UOwZv7yvjZi/uoamxjd1Edn/vrFo5WNJ5qU0+rnKRwLspJGHRwD56p6E674ZyZcaxbkMTMfmbRtHd5z0VERET6ogBfZAqwLIv73snjzf3l/R5X1+zic3/dPOGCq/Eqto817AtTI3A6JmZW8J4J2nKSwrANY214V0d6fN6a2jo4Xt10SuecCOYkhvH1C2ey9Xg1z24vIshpJzEigOge9d7tNkNlQxtbj1X3Okdtcztv7S/jXzuKOFLecLqaLiIiIuOUpuiLTAH7Sup5+IP8QR1b2djOe4crxlWN8YlqQUoEVy9J4anNBZ3b/B02rl+aOoatOjUXzI7nq+fP4Kktx5mfEsFn12QN6nmtrg5e2lnCwbIGlqRHcs6sk1Pwe+Z/CAt0kDkFPn/VTW3cv/4INU3tAGw9XkNWXAjfuGgmz20vYlN+NVmxISxOj+QfWwpIjAhgUVpk5/MLqpv41lM7eO+wZ9ZNoJ+d/7tpMWsm0PIGERERGVkK8EWmgA15lXQMYRr1g+8f5bIFyYQE6FfEqQhw2vn22lksz4xi67EaokOcnD0zjiXpkQM/eZwKDfTjy+dn89mzp+E/hFkI7xyo4Mt/2waAw2b4+10rWZAaAcA5M+P46RVz+dN7R0mJDOSzq6dNiEoDp6qupZ3yhtbOx067jbgwf8ICHORVNLJ6RizHq5r4ywZP51x1jzX7r+4p7QzuAZrbO/j+s7v55+cjiAjqPgtAREREpgZ9exeZAopqmod0/MHSBmqa2hTgj4DoYH+uyU3lmtyJO2rvy1CCe4Dy+pN5H1xuq1uCuQCnnU8sT+eqxSk47LZhlYObiFIjg7hqcTL/2FrEpfOTaO9ws7uwFocxLEmP5Pkdxd2OX5QW0e3x7sK6Xuc8WtlEUW2LAnwREZEpSt/eRcS3qRFjyWmyfFo0sxND2Vtcz4Vz4piX0ruKgL/fxMxLMFwOu42vXziTpRlR/Oi5PZ3Z898+UEFyRCCXzk/kuR3F2Ax85sxMzp3Vvfze9LiQXueMC/UnLtR37gcRERGZ/BTgi0wByREnpzvbDCxKiyQq2ElTm4utx2po6lGWa3ZCqEYAZURlxYbwyGeWU17fSnJEIGGBfmPdpHEhITyQA6UNvUrjFdY0c/PKdK5dmkpUsJPZCb2TGV6YE88/thayv7Qe8CTj+8G6HGL6SO4op19xbTP/2lGM3WZYOy+R+LCAsW6SiIhMcgrwRaaAM6ZFEey0c97seIyBzfnV7CqsJchpZ/WMWIKcdt4/VElJnWca9SdXZBDir18PE0VlQysdbou4cR48xIT4+ww+39xXxjsHy4kOdnLZwmRSo0Z//X11Uxt/+SCf9w5XcMm8JK7OTSFgjGYQbM7vnR0foKS2hTtW953EcFpsCA99ehkfHamkvsXFvJRw5qdEjFIrpaumNhdvHyjnSHkjsxJDOSs7Fj9778JEf9t4nF+/dhCAlrYO7jpn+uluqoiITDH6Bi8yBcxMCOWL507nf1492K2GeavLzUu7SgC4ZH4ie4vraGh1sWp69Fg1VYagrK6FRz86xgPvHqHd7ebG5el88oz0CVUB4aMjldz+8CZc3iSQe4rr+fV1C3E6RreK66u7S/l/rx4AYENeFclRgZwzRtnnl2VGsu14Ta/t6dED38eE8ADWLUwe8TZZlsVLu0rYfKyaNTNiOSs7dkjPr29p5/kdxRRWN7MiK5pV02NGvI1j6anNBfznM7s7H//m+oVc5uM+VDedzDVR2+I6LW0TEZGpbXS/QYnIuPDuwQrufuVAt+C+p+d3FLMsM4p7b1w8qMBCxpZlWdzz1iF+/dpB6ltdtLS7eWD9Ef7rX3to6THdezw7WtnUGdwDvL2/jLrmtn6eMTLqWtq7Pa5vbu/jyNF36fwkwgO797dnxQZz9syhBdUjaV9JPZ9/dAv3v3uEOx/ZTPEQE3U+v72Ibz+9k/998xCffnAje4pqR6mlp19zm4v7383rtu2pTQU+j71uaRoXz03gkvmJXLEo6XQ0T0REpjiN4ItMcq3tHfxpfd6gyuQ9s62IuwZZ11zG1qGyBh7ZcKzX9tf2lrG7uJYl6VFj0Kqhy4gKwm4znZ/P1TNiCT0N6/NXz4gle+NxDpY1sDo7hmWZY/d+zUuJ4LHbz+CNfWXklTcyJymM82bFjWhHm2VZvHOwnA/zqogMcnLe7DimxfZO0neCn92G02Gjpd1NSIADP/vQsm4WdukQaHW5Ka1rZc4kiW/97DamxYZwrOrka0zrY1nJnMQw7r1pyelqmoiIiAJ8kcluZ2Etbx2oGNSxTW0dfJBXSZpG8Me9xraOPjttGibQVOBl06K575NLeHt/OTGh/ly+KGnIJfiGY0Z8KI/evpzyhjaSwgPGPKnknKRw5iT1riwwUt49WMEtf96I5f3IvLSrmAc/vYzQAN+dKdPjQvjzLUvZVVjL0sxoYkKHlt9h+bRo/vjuEVpdbhamRjAzIfRUX8K44bDb+MLZ09lfUk9xbQvT40K4flnaWDdLREQEUIAvMukdq2oa4vFDm4orY2NaTDAz4kM4UNrQbXt4oB/Z8RMrmDpvdjznzY4f+MARFhsaQOwQA9eJauPRqs7gHmDzsRr2l9STm9H3zIUVWTGsyBre2vmzsmP5+10rKatvYVZCGEkRgcM6z3iVmxnFc188k6KaZtKigsa8g0hEROQEBfgi0sPAU/ll7IUF+vHDdTnc8fBm6ls9I/b+Dht3XzN/0gVTMnzHqho5WNpAalQgYQEO6ryzO/zshvBRXgoxNzkcGL1ZCWOtr6oQIiIiY0kBvsgklxg+tBHKxHAFhxPFiqwY/vWlM9lyrBqX22JBSsSEG70fK9uP15Bf2cjCtMg+10+fCleHmy3HqtldVEdogIMzpkWTEjn65f+62pBXyR0Pb6KuxYXdZrhz9TTuf/cIAN+/dM64/6yU17fyxKbjHK1o5JIFSayZMXZJB0VERCYKBfgik9yC1AiWpkeysY9a2135O2ysmKYSeRNJWnSwciYM0d7iOm744waa2jpYlhHJn25ZRkjAyP45/OuH+Xz/2T2dj1MiA7jvk7mjus6+K7fb4v538zpH7DvcFo98kM9fb1tGdIh/vwn2xotnthVy98v7AXh2exH/+tJZTI8b/+0WEREZSyqTJzLJBTkd3L56GmYQSbA/d04WWfoCLRNMXnkDf92Qz4d5lYM6vrS2hSZvKcEtx2qobxnZEnkHSuv4r3/t7batoLqFJzf7LqU2GlxuN0crG7ttq291ERk8OsF9h9vC1U8ZzuGoajxZLrHV5R7x+yQiIjIZKcAXmQLOnx3Pz66Yh62fIP9TZ6Rz84qM09YmkZHQ3uHmB8/u5rv/3MWn/vQR+0vqBnzO/NRwrl+aSkyIkx9dlkPCEJexDCS/spn2jt65LN7cV0abq2NEr9UXp8POp87I6LbtikXJZESP/DKBnQW13Hj/Bq79wwdsPTbwTKHBumBOPHGhnjXun16VwYxJlIlfRERktGiKvsgUYLMZrluayrTYYN7YV8ZD7+fT3N6BzcCl85O4ZEEiK7OiCfYf/frjIiPJ7baoaGgFoK3DTUv7wKPIUcH+/Nflc/n22lmEB4589vO4UH+MoVvWeoBFaZE4T0MJwBOuWpJMaKCDbcdryIgO5qKcBBz2ke/Xf2rzcTbkVQHwwPoj/O8nIkfkvIvSInn2C6uobW4nPSqYAOfpe+9EREQmKgX4IlOEMYZlmdEsy4zm1lWZNLS48HfYSIwIxN7f0L7IOObvZ+cnV8zj9b2lzEoIY17y4Na4O+y2UQnuAXKSwvj0qkweWH+kc1uAn43rl6aOyvX6EuzvxxWLUrhiUcqoXicy+OT7eGLEfaQkhAeSoMSfIiIig6YAX2QKig8LID5srFshMjIWpUWyKG1kRo1HgsNu48vnZbMwNYKdhbWEBzg4MzuWBakRY920UXHd0lSCnHbcFnx8XuKwzlFe34rDZrp1FoiIiMjQGavnHEIRGVO5ubnWpk2bxroZIjLBtLR1UN/aTkyIP2YwWTXHgaY2F498kM9vXz9IsL+d76ydw7oFSdg0q0hkwjDGbLYsK3es2yEiHkqyJyIio6awppn/eWU/d/1lM89tL8LtVqfyaCiqaebzj21hzd1v8dcN+RPmfd54pIoXdhbT2NZBWX0bX31iG7uKase6WSIiIhOWpuiLiMio+cuGo9z7Vh4AL+0uISbEnxVZ0WPcqsln49EqXt9bBsAPntvDeXPiSRyHa9c73BbvHChnb1EtljHc+9ZhEsIDuGxhEs9sK8KyoKC6mfkpEWPdVBERkQlJI/giIjJq9hadLFtnWVBe3zKGrZm8EsMDcHintS9IjSB0nFbEeHNfGbc+uJF9pQ388pX9NLS6OFTWQJvLjdNuI9DPzsx4lcMTEREZLo3gi4jIqFm3MJm3DlQAniA0J7nv7I4ltc28d6iCQKeDNTNiVLZxCJZlRvOX25ZTUNVEXFgAL+0qZlZCGHNTBldV4HT56KinnJ7bsnDYDO0dnqUEQU47F8yJ48bl6WTFhYxlE0VERCY0BfgiIjJq1i1IIjbUn/L6VuYlh5MV63t0tqnNxfef3c3Lu0sB+PbFs7hzTdbpbOq41eZyU17fQqDTTlSw7zJ0x6oaCfG3Exfmz6cf3IjLbRHq7+DxO88gJ2n8BPmxIZ72v7a3lE8sT+e9QxVMjwvhrrOzmB6nkXsREZFTpQBfRER6aWnv4NU9pRRUN3Hm9BjmDXNNtMNu46zs2AGPq2po6wzuAV7dUzpuA/ydhbU88sFR9pfUc/2yNC5bmESQc3T+nNY3t/Pr1w7y4AdHiQjy49fXLez1fm7Iq+SOhzdR1+LiU2ek4fIm2KtvdbG/pH5cBfgX5cSzKb+al3eX8Ma+Un517QJyM5STQUZPQ4uL2pY24kMDcNi1MlVEJj8F+CJTTKurg+rGNsKD/Aj0068A8e3NfWV88bGtAPwlIp9/fn4VsaEBo3a9qBAna+cm8MKuEgAuykkYtWuditqmNv7tiW0cKG0AYHvBTkKcdi5dmDys8zW3uWhu7+hzZP7N/WU88N4RACob2vjiY1t57WuriQk5eS+e3HScuhYXAK0dFsZ48h34O2xkxgQPq12jJS06mN/dsJBjVc1EBTmJDPajsLoZfz8bMSG+3wOR4Xp7fxk/e3Ef+0vruXhuAl8+L5uZCX0vExIRmQz07V5kCimrb+FnL+zl+R3FrMqK4YeX5ZAePb4CABkfyrokwyusaaGuxUUfs+tHRJDTwQ/W5XBhTgKBTjtnZceM3sVOwfHqps7g/oS9JfVcOoxzvbGvlF+/dpCjFY1ctzSNW1dlkBTRPfN9TXN798dN7TS1ubtti+7SOfDSrhK+cl42B8saOG9WHIvSIofRstHldNiZHheCZVk89tEx/vOZ3UQG+fH7G5ewLDNqrJsnk8ThsgbueGQzrS7Pv5cXdpbQ2u7mnpsW4++wj3HrRERGj+YqiUwhb+wt4x9bi2jvsHjrQDnP7yge6ybJOHVmdiyLUyOw2wzfvngWaVFBo37NuLAALl+UzEU5CaM25f1UJYYHktwjCM8Yxij5nqJa7nxkMzsKaqlrcfHHd/N4+IOjvY5bnBZJqP/J9+KGpanEh3Yf6b5uWSqXLUxiRlwIl85P5M/vH+X5HcX4+43vIOZ4VTPf++cuXG6L8oY2Hnz/6Fg3SSaRvSV1ncH9Ca/vK6OopnmMWiQicnqMz29QIhOEMeZjwG8AO3C/ZVk/77HfePevBZqAWyzL2nLaG+rV0uPLTkt7xxi1RMa7rNgQHvrMMupbXMSHBWD3lmCb6qJD/PnVdQv41WsHOVhazy0rM7hwTvyQz7O7qK4zg/wJT24q4K6zswgPdHZum5sczl9vX87m/GrCAvw4Z1Zsr8A9KzaE31y/iMNl9Xz1ie3UNLVzxaJkzpg2vkfDnQ5DsNNBfatneUF0sHOAZ3h0uC1qm9sI8ffD6dA4hfgWE9L785QQHkB4wOA+ZyIiE5UCfJFhMsbYgd8DFwAFwEZjzLOWZe3pctjFQLb3v+XAvd7/j4nV2THMTQpjV1EdyREBXDSMwESmjtAAP0IDVKqup2WZ0Tx4SwQtro5uwfhQRPoIZmckhBLoY9R9fkoE8weR5DArLpSHP72M2qZ24sL8CRynsyBOSAgP5P8+uYQ/vH2YhPAAbl6ZPuBzPEkHD/DEpgLOnRXHd9bOJj589HJDyMS1MCWSm1ek89AH+QDYbYb//PgconwE/iIik8n4/usvMr4tAw5ZlpUHYIx5HLgM6BrgXwY8bFmWBWwwxkQYYxItyxqTufHTYkP40y1LKappJi7Mn6SI0Z92LTIZ+fvZT2kK/LKMKNYtTOTZbZ5fBf4OG587OwvnKa4NjghyEhE0cQKYVdNjWDV98PkWNhyp5IH3jgLwzPYiVk6P5rqlaaPUOpnIApx2vnXxLC6YE09JXQuzEsKYmzx+KkqIiIwWBfgiw5cMHO/yuIDeo/O+jkkGxmzxe1xYAHFhGvESGUthgX785LJ5XLkwheqmNnKSw5gRr+zeA7GZ7ktFtHRE+hPkdHDmIMp0iohMJgrwRYbP1zdLaxjHYIy5A7gDIC1No1EiU0FooB9nz4ob62ZMKCuyovnaBTN4cvNxzpsVz7l6/0RERLpRgC8yfAVAapfHKUDRMI7Bsqz7gPsAcnNze3UAiIiIZ0T2S+dlc+eaaSp1JiIi4oPSz4oM30Yg2xiTaYxxAtcDz/Y45lngU8bjDKB2rNbfi4hMFgruRUREfNMIvsgwWZblMsZ8AXgZT5m8P1mWtdsY81nv/v8DXsBTIu8QnjJ5t45Ve0VEREREZHJTgC9yCizLegFPEN912/91+dkCPn+62yUiIiIiIlOPpuiLiIiIiIiITAIK8EVEREREREQmAQX4IiIiIiIiIpOAAnwRERERERGRSUABvoiIiIiIiMgkoABfREREREREZBJQgC8iIiIiIiIyCSjAFxEREREREZkEFOCLiIiIiIiITAIK8EVEREREREQmAQX4IiIiIiIiIpOAAnwRERERERGRSUABvoiIiIiIiMgkoABfREREREREZBJQgC8iIiIiIiIyCSjAFxEREREREZkEFOCLiIiIiIiITAIK8EVEREREREQmAQX4IiIiIiIiIpOAAnwRERERERGRSUABvoiIiIiIiMgkoABfREREREREZBJQgC8iIiIiIiIyCSjAFxEREREREZkEFOCLiIiIiIiITAIK8EVEREREREQmAQX4IiIiIiIiIpOAAnwRERlQSW0LO47XUFbXMtZNEREREZE+OMa6ASIiMr7tKarlrr9uIb+yiVnxofzuE4vIjg8d62aJiIiISA8awRcRkX69vLuU/MomAPaV1vPa3tIxbpGIiIiI+KIAX0RE+mUzpttje4/HIiIiIjI+KMAXEZF+rZ2XwPzkcABy0yO5MCdhjFskIiIiIr5oDb6IiPQrOz6Uhz6zlMqGdmJDnIQHOce6SSIiIiLigwJ8EREZUGSQP5FB/mPdDBERERHph6boi4iIiIiIiEwCCvBFREREREREJgEF+CIiIiIiIiKTgAJ8ERERERERkUlAAb6IiIiIiIjIJKAAX0RERERERGQSUIAvIiIiIiIiMgkowBcRERERERGZBBTgi4iIiIiIiEwCCvBFREREREREJgEF+CIiIiIiIiKTgAJ8ERERERERkUlAAb6IiIiIiIjIJKAAX0RERERERGQSUIAvIiIiIiIiMgkowBcRERERERGZBBTgi4iIiIiIiEwCCvBFREREREREJgEF+CIiIiIiIiKTgAJ8ERERERERkUlAAb6IiIiIiIjIJGAsyxrrNohIF8aYciD/NFwqBqg4DdeR4dM9mhh0nyYG3aeJQfdp4km3LCt2rBshIh4K8EWmKGPMJsuycse6HdI33aOJQfdpYtB9mhh0n0RETo2m6IuIiIiIiIhMAgrwRURERERERCYBBfgiU9d9Y90AGZDu0cSg+zQx6D5NDLpPIiKnQGvwRURERERERCYBjeCLiIiIiIiITAIK8EVEREREREQmAQX4IiIiIiIiIpOAAnyRKc4Yc+tYt0FkMjDGzBrrNsjAdJ8mBt0nEZHhUZI9kSnOGHPMsqy0sW6H9M8YM8uyrH1j3Q7pm/4tTQy6TxOD7pOIyPA4xroBIjL6jDE7+toFxJ/OtsiwvQLoy+4YM8b8tq9dQMRpbIr0Q/dpYtB9EhEZeQrwRaaGeOAioLrHdgO8f/qbI77oy+6EcCvwb0Crj303nOa2SN90nyYG3ScRkRGmAF9kangeCLEsa1vPHcaYt057a6Qv+rI7/m0EdlmW1atjzBjzg9PfHOmD7tPEoPskIjLCtAZfRGScMMa8AXyvjy+7RyzLyhyDZkkXxpgooMWyrKaxbov0TfdpYtB9EhEZeQrwRUTGCX3ZFREREZFToTJ5IiLjhGVZVQruxzdjTLgx5ufGmH3GmErvf3u92yLGun3iofs0Meg+iYiMPAX4IiLjhL7sTghP4ElWebZlWdGWZUUD53i3PTmmLZOudJ8mBt0nEZERpin6IiLjhDHmZeAN4CHLskq82xKAm4HzLcu6YCzbJ2CM2W9Z1syh7pPTS/dpYtB9EhEZeRrBFxEZPzIsy/rFieAewLKsEsuyfgGkjWG75KR8Y8w3jTHxJzYYY+KNMd8Cjo9hu6Q73aeJQfdJRGSEKcAXERk/9GV3/LsOiAbeNsZUG2OqgLeAKODasWyYdKP7NDH0vE/VeO5TNLpPIiLDoin6IiLjhDEmEvh34DIgzru5FHgW+LllWdVj1TY5yRgzC0gBNliW1dBl+8csy3pp7FomXRljlgGWZVkbjTE5wMeAvZZlvTDGTZN+GGMesSzrk2PdDhGRiUoBvojIBGCMudWyrD+PdTumOmPMl4DPA3uBhcCXLct6xrtvi2VZi8eweeJljPk+cDHgAF4FlgFvA+cDL1uW9ZMxbJ54GWOe9bH5XDy5SLAsa93pbZGIyMSnAF9EZAIwxhyzLEvr8MeYMWYnsMKyrAZjTAbwFPCIZVm/McZstSxr0di2UKDzPi0E/IESIMWyrDpjTCDwoWVZ88eyfeJhjNkC7AHuByzAAI8B1wNYlvX22LVORGRicox1A0RExMMYs6OvXUB8H/vk9LKfmJZvWdZRY8zZwFPGmHQ890nGB5dlWR1AkzHmsGVZdQCWZTUbY9xj3DY5KRf4MvBd4BuWZW0zxjQrsBcRGT4F+CIi40c8cBGeGtBdGeD9098c8aHEGLPQsqxtAN6R/EuAPwHzxrRl0lWbMSbIsqwmYMmJjcaYcEAB/jhhWZYb+JUx5knv/0vRd1MRkVOiX6IiIuPH80DIieCxK2PMW6e9NeLLpwBX1w2WZbmATxlj/jA2TRIfVluW1QqdQeQJfsDNY9Mk6YtlWQXANcaYjwN1Y90eEZGJTGvwRURERERERCYB21g3QEREREREREROnQJ8ERERERERkUlAAb6IyBRmjIk2xmzz/ldijCns8tg5wHNzjTG/HcQ1RiVBoDHmLWNM7mice6iMMXcbY3YbY+4eo+tnGGM+MYjjkowxT41yWxYaY9Z2ebzOGPPv3p8vN8bMGeL5hnSfB/u5HAtdX4sx5gVjTEQ/xw75vfI+r+EUmigiIhOckuyJiExhlmVV4qkXjjHmB0CDZVm/PLHfGOPwJpHz9dxNwKZBXGPliDR2lPT3GofgTiD2RGK30bimMcbgyZ3jKwt8BvAJ4NH+zmFZVhFw9VCuOwwL8ZQ/e8F7zWeBZ737LseTTHLPaF18sJ/LkTLcz49lWWsHOORyRvm9EhGRyUcj+CIi0o0x5kFjzP8YY94EfmGMWWaMed8Ys9X7/5ne4842xjzv/fkHxpg/eUco84wxX+pyvoYux79ljHnKGLPPGPNXb9CKMWatd9t6Y8xvT5y3R7sCjTGPG2N2GGP+BgR22XehMeYDY8wWY8yTxpiQ/s7rbe99xphXgIeNMbHGmL8bYzZ6/1vlPS7Y+7o2el//ZT7a9SwQDHxojLnOGJNujHnd287XjTFpvt7XHue4xRjzjDHmJWPMfmPM973bM4wxe40x9wBbgFTvbIFdxpidxpjrvKf4OXCWd+bFV40xdu9xG73tuLPL+XZ1uebT3mseNMb8dx+fhyXGmLeNMZuNMS8bYxK9298yxvzCGPORMeaAMeYs45n18SPgOm9brvNe53+NMSuBdcDd3n1ZxpgtXa6TbYzZ7KsNwE3ez94uY8yy/u7NED6X/+H9bLxqjHnMGPN1H6/9QWPM/xlj3vW+xku6vHdPGmOeA17ppy39fWaPGmNivD9/ynvMdmPMI328V1nee7XZ255Z3udmGs9nf6Mx5sd9vH8iIjJFaARfRER8mQGcb1lWhzEmDE/ZMZcx5nzgp8BVPp4zCzgHCAX2G2PutSyrvccxi4AcoAh4D1hljNkE/MF7jSPGmMf6aNNdQJNlWfONMfPxBLx4g6TvedvbaIz5FvA1b8Da33mXAGdaltVsjHkU+JVlWeu9AfnLwGzgu8AblmV92nimU39kjHnNsqzGEyexLGudMabBsqyF3vY8BzxsWdZDxphPA7/FMxrb7X318fqWAXOBJmCjMeZfQAUwE7jVsqzPGWOuwjNCvgCI8R73DvDvwNctyzoRgN4B1FqWtdQY4w+8ZzydGT1L5yz03pNWPPfsd5ZlHT+x0xjjB/wOuMyyrHJvh8JPgE97D3FYlrXMeKbkf9+yrPONMf8J5FqW9QXvOW7xvk/vG09nyPOWZT3l3VdrjFnoLQ15K/Cgj/cFINiyrJXGmNXAn7zvk8974+O5vT6X3vfvKu9rd+D5LPXVuZABrAGygDeNMdO921cA8y3LqjLG/LSPttyJj89sV8aYHO9rWWVZVoUxJsp7zp7v1evAZy3LOmiMWQ7cA5wL/Aa417Ksh40xn+/jNYiIyBShAF9ERHx5sksQGg48ZIzJxhMg+vXxnH95p6i3GmPKgHigoMcxH3lrXmOM2YYneGoA8izLOuI95jHgDh/nX40nWMayrB3GmB3e7WcAc/AEsQBO4AM8gV1/533Wsqxm78/nA3O8zwcIM8aEAhcC67qM7gYAacDePt4D8AR+V3p/fgToOjL+ZB/BPcCr3iUTGGOeBs4E/gnkW5a1wXvMmcBj3nOUGmPeBpbSu3b4hcB8Y8yJ6fjhQDZwoMdxr1uWVeu95h4gHTjeZf9MPMH0q973xg4Ud9n/tPf/m/Hcy6G6H7jVGPM14Do8nRy+PAZgWdY7xpgwbxDd173pydfn8kzgmRP339sp05cnvMsiDhpj8vB8rsBzv6q8P/fVlr4+s12dCzxlWVaF97iqngcYz4yUlcCTXT6j/t7/r+Jkh9sj9JgdIiIiU4sCfBER8aWxy88/Bt60LOsKY0wG8FYfz+m6/rwD339jfB1jfBzXl54j0Hif/6plWTd022jMogHO1fU12oAVXQL+E+cwwFWWZe0fQht76trmxj6P6v3aTjzu+pzBvlcG+KJlWS932+i5f10NdM8MsNuyrBV9XOfE8/u63wP5O/B94A1g84kODh98vTc+740xJr6PNnZt56l85vq6L77a4uv5PZlBHGMDak7MEhlEG0VEZIrSGnwRERlIOFDo/fmWUTj/PmBal+Dzuj6Oewe4EcAYMxeY792+Ac9U/+nefUHGmBlDOC/AK8AXTjwwxiz0/vgy8EVvoD+YTgOA94HrvT/fCKwfxHMALjDGRBljAvFM6X/PxzHv4FnfbjfGxOIZIf4IqMczBf2El4G7vFPsMcbMMMYED7IdXe0HYo0xK7zn8fNOKe9Pz7b0uc+yrBZvW+8F/tzPOa/zXv9MPEsPahnevTlhPXCpMSbAOzr+8X6OvcYYYzPGZAHT8LwnPfXVlr4+s129DlxrjIn2Hhfl3d75XlmWVQccMcZc4z3GGGMWeI97j+6fNxERmcIU4IuIyED+G/iZMeY9PFO0R5R31PxzwEvGmPVAKVDr49B7gRDvNOdv4glssSyrHE/Hw2PefRuAWUM4L8CXgFzjSXS2B/isd/uP8SxJ2GE8yekGk8TsS3imne8APgl8eRDPAU/Q+QiwDfi7Nxt8T/8AdgDb8Yx6f9OyrBLvNpfxJGn7Kp6p73uALd52/4FhjLBbltWGJ+v+L4wx271tG6gqwpt4ljtsMyeTAJ7wOPAN40lEl+Xd9lc8I9Cv9HPOauMpt/h/wGe824ZzbwCwLGsjnsz+2/EsM9hE35+N/cDbwIt41sC3+Dimr7b4/Mz2aMtuPHkN3va+x//j3dXzvboR+Iz3mN3AiYSPXwY+b4zZiKczTkREpjBjWZrVJSIiY8sYE2JZVoN3BPT3wEHLsn41Xs870ownEV1nYrqpxLtuPdyyrP84zdc98dkIwjPSfodlWVt6HPMgXRLdiYiIjHdagy8iIuPB7caYm/EkyNuKZ8R5PJ9XRoAx5h94stOfOwaXv88YMwdPQryHegb3IiIiE5FG8EVEREREREQmAa3BFxEREREREZkEFOCLiIiIiIiITAIK8EVEREREREQmAQX4IiIiIiIiIpOAAnwRERERERGRSUABvoiIiIiIiMgk8P8BvrkuSf69AmoAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.ticker as ticker\n", - "metric_name='inverse_harmonic_mean_rank'\n", - "#metric_name='hits_at_1'\n", - "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['num_unique_ents']\n", - "plot, ax = plt.subplots(figsize=(10,10))\n", - "sns.color_palette(\"flare\", as_cmap=True)\n", - "#s_square = [n*n for n in props] \n", - "s_square = [n*n for n in num_unique_ents] \n", - "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200))\n", - "#plt.xscale('log')\n", - "#ax.legend(title='# unique entities')\n", - "plt.ylabel(metric_name)\n", - "plt.xlabel(f'Training degree for {ENTITY_TYPE_W_ATTRIBUTE} entity being predicted')\n", - "plt.xticks(degrees, rotation='vertical')\n", - "\n", - "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", - "\n", - "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpp \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTRIBUTE} node of certain node (training) degree) b/w both models, Vs. {ENTITY_TYPE_W_ATTRIBUTE} node degree')\n", - "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "id": "0dd7921e", - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'cmap' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [87]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\u001b[39;00m\n\u001b[1;32m 16\u001b[0m norm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mNormalize(num_unique_ents\u001b[38;5;241m.\u001b[39mmin(), num_unique_ents\u001b[38;5;241m.\u001b[39mmax())\n\u001b[1;32m 17\u001b[0m cbar \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mcolorbar(plt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mScalarMappable(norm\u001b[38;5;241m=\u001b[39mnorm,\n\u001b[0;32m---> 18\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[43mcmap\u001b[49m),\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m#ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\u001b[39;00m\n\u001b[1;32m 20\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m# test_triples per unique disease\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 21\u001b[0m d\n\u001b[1;32m 22\u001b[0m plot_\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mset_major_locator(ticker\u001b[38;5;241m.\u001b[39mIndexLocator(\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m0\u001b[39m))\n", - "\u001b[0;31mNameError\u001b[0m: name 'cmap' is not defined" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.ticker as ticker\n", - "metric_name='inverse_harmonic_mean_rank'\n", - "#metric_name='hits_at_10'\n", - "degrees, metrics, counts, props, num_unique_ents = merged_df['degree'], merged_df[metric_name], merged_df['count'] , merged_df['proportion'], merged_df['count']/merged_df['num_unique_ents']\n", - "plot, ax = plt.subplots(figsize=(10,10))\n", - "sns.color_palette(\"flare\", as_cmap=True)\n", - "s_linear = [n*n for n in props] \n", - "plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=s_linear, sizes=(10,200), c=num_unique_ents, cmap='flare')\n", - "plt.xscale('log')\n", - "ax.legend(title='#(test triples)', labels = ['6', '45', '85', '124', '164', '204'])\n", - "plt.ylabel(metric_name)\n", - "plt.xlabel('Training degree for Disease entity being predicted')\n", - "plt.xticks(degrees, rotation='vertical')\n", - "#plot_.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0), ncol=1)\n", - "\n", - "norm = plt.Normalize(num_unique_ents.min(), num_unique_ents.max())\n", - "cbar = ax.figure.colorbar(plt.cm.ScalarMappable(norm=norm,\n", - " cmap=cmap),\n", - " #ticks=np.arange(num_unique_ents.min(), num_unique_ents.max() + 1),\n", - " label=r'# test_triples per unique disease')\n", - "d\n", - "plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0))\n", - "\n", - "plt.title(f'avg_{metric_name}_rotate - avg_{metric_name}_bioblpp \\n Difference in {metric_name} (averaged over test triples with {ENTITY_TYPE_W_ATTRIBUTE} node of certain node (training) degree) b/w both models, Vs. disease node degree')\n", - "plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis')" - ] - }, - { - "cell_type": "code", - "execution_count": 187, - "id": "f520e84c", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - }, - "tags": [] - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 187, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "def colors_from_values(values, palette_name):\n", - " # normalize the values to range [0, 1]\n", - " normalized = (values - min(values)) / (max(values) - min(values))\n", - " # convert to indices\n", - " indices = np.round(normalized * (len(values) - 1)).astype(np.int32)\n", - " # use the indices to get the colors\n", - " palette = sns.color_palette(palette_name, len(values))\n", - " return np.array(palette).take(indices, axis=0)\n", - "plot, ax = plt.subplots(figsize=(20,20))\n", - "sns.barplot(ax=ax, x=degrees, y=metrics, palette=colors_from_values(props, \"flare\"))\n", - "plt.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ed71892c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "ed983624", - "metadata": {}, - "source": [ - "### Plots V1 - Separate series plotted for BioBLP-D and RotatE" - ] - }, - { - "cell_type": "markdown", - "id": "75f44239", - "metadata": {}, - "source": [ - "load from file" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "id": "dd184206", - "metadata": {}, - "outputs": [], - "source": [ - "ENTITY_TYPE_W_ATTRIBUTE = 'Protein'\n", - "MODEL_NAME_SLUG = BIOBLP_D\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "LOAD_FROM_FILE=False\n", - "if LOAD_FROM_FILE:\n", - " with open(eval_out_dir.joinpath('node-degree-eval-new.json'), 'r') as f:\n", - " results_by_node_degree_dicts_bioblpd = json.load(f)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "id": "5d1ace4c", - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "strftime() takes at least 1 argument (0 given)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[69], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mplot_metric_vs_degree_scatterplot_single_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmetric_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhits_at_1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mMODELS\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mROTATE\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mresults_by_node_degree_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresults_by_node_degree_dicts_rotate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mentity_type_examined\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mENTITY_TYPE_W_ATTRIBUTE\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", - "Cell \u001b[0;32mIn[67], line 15\u001b[0m, in \u001b[0;36mplot_metric_vs_degree_scatterplot_single_model\u001b[0;34m(model_id, metric_name, results_by_node_degree_dict, figsize, entity_type_examined)\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mplot_metric_vs_degree_scatterplot_single_model\u001b[39m(model_id,\n\u001b[1;32m 10\u001b[0m metric_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhits_at_10\u001b[39m\u001b[38;5;124m'\u001b[39m, \n\u001b[1;32m 11\u001b[0m results_by_node_degree_dict\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 12\u001b[0m figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m7\u001b[39m,\u001b[38;5;241m7\u001b[39m),\n\u001b[1;32m 13\u001b[0m entity_type_examined\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 14\u001b[0m ):\n\u001b[0;32m---> 15\u001b[0m timestr \u001b[38;5;241m=\u001b[39m \u001b[43mtime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstrftime\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 16\u001b[0m degrees, metrics \u001b[38;5;241m=\u001b[39m extract_relevant_metrics(metric_name, results_by_node_degree_dict) \n\u001b[1;32m 17\u001b[0m plot, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(figsize\u001b[38;5;241m=\u001b[39mfigsize)\n", - "\u001b[0;31mTypeError\u001b[0m: strftime() takes at least 1 argument (0 given)" - ] - } - ], - "source": [ - "plot_metric_vs_degree_scatterplot_single_model(metric_name='hits_at_1',\n", - " model_id=MODELS.get(ROTATE),\n", - " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", - " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "id": "a5f9908d", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plot_metric_vs_degree_scatterplot_single_model(metric_name='hits_at_10', \n", - " model_id=MODELS.get(BIOBLP_P),\n", - " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", - " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", - " figsize=(6,6))" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "f4df56cd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "wandb version 0.13.10 is available! To upgrade, please run:\n", - " $ pip install wandb --upgrade" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Tracking run with wandb version 0.12.20" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230302_084743-1730mqbr" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Syncing run true-blaze-48 to Weights & Biases (docs)
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tags = {\"model_name\": MODEL_ID_bioblpp,\n", - " \"study_name\": 'node_degree_trend',\n", - " \"test_set_type\": TEST_RESTRICTED_DIS}\n", - "run = setup_wandb_result_tracker(**tags, project_name='bioblp-jupyter-trial', wandb_entity='discoverylab')" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "9117cfd8", - "metadata": {}, - "outputs": [], - "source": [ - "metric_name = \"hits_at_1\"\n", - "degrees, metrics = extract_relevant_metrics(metric_name, results_by_node_degree_dicts_bioblpdx)\n", - "data = [[x, y] for (x, y) in zip(degrees, metrics)]\n", - "table = wandb.Table(data=data, columns = [\"degrees\", \"metrics\"])\n", - "wandb.log({f\"bioblpd-{metric_name}_node_degree\" : wandb.plot.scatter(table, \"degrees\", \"metrics\")})\n" - ] - }, - { - "cell_type": "markdown", - "id": "54195927", - "metadata": { - "tags": [] - }, - "source": [ - "#### RotatE" - ] - }, - { - "cell_type": "markdown", - "id": "87f2668a", - "metadata": {}, - "source": [ - "All plots below look quite similar!" - ] - }, - { - "cell_type": "markdown", - "id": "b29d8ef1", - "metadata": {}, - "source": [ - "load from file" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "ad4cb1dc", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "MODEL_NAME_SLUG = ROTATE\n", - "MODEL_ID = MODELS.get(MODEL_NAME_SLUG) \n", - "eval_out_dir = Path(f\"./metrics/{MODEL_ID}\")\n", - "\n", - "with open(eval_out_dir.joinpath('node-degree-eval-new.json'), 'r') as f:\n", - " results_by_node_degree_dicts_rotate = json.load(f)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "id": "320da113", - "metadata": {}, - "outputs": [], - "source": [ - "from nb_utils.eval_utils import plot_metric_vs_degree_scatterplot_single_model\n", - "from nb_utils.eval_utils import plot_metric_vs_degree_scatterplot_multi_models\n" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "id": "d408e663", - "metadata": {}, - "outputs": [], - "source": [ - "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "id": "93fe5e2d", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "metric_name='hits_at_1'\n", - "MODEL_ID_SLUG = BIOBLP_P\n", - "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", - " model_id=MODELS.get(MODEL_ID_SLUG),\n", - " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", - " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n", - "#plt.savefig(f'data/imgs/{MODEL_ID}-{metric_name}-{ENTITY_TYPE_W_ATTRIBUTE}_node_degree_analysis')" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "id": "42e1109c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "metric_name='hits_at_10'\n", - "MODEL_ID_SLUG = BIOBLP_P\n", - "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", - " model_id=MODELS.get(MODEL_ID_SLUG),\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", - " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", - " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE)\n", - "#plt.savefig(f'data/imgs/{MODEL_ID}-{metric_name}-{ENTITY_TYPE_W_ATTRIBUTE}_node_degree_analysis')" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "id": "5daf587e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", - "MODEL_ID_SLUG = BIOBLP_P\n", - "metric_name=INVERSE_HARMONIC_MEAN_RANK\n", - "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", - " model_id=MODELS.get(MODEL_ID_SLUG),\n", - " results_by_node_degree_dict=results_by_node_degree_dicts_bioblpp,\n", - " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", - " )\n" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "id": "ae511626", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "metric_name='hits_at_10'\n", - "MODEL_ID_SLUG = ROTATE\n", - "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", - " model_id=MODELS.get(MODEL_ID_SLUG),\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", - " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", - " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE)\n", - "#plt.savefig(f'data/imgs/{MODEL_ID}-{metric_name}-{ENTITY_TYPE_W_ATTRIBUTE}_node_degree_analysis')" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "id": "7540b7c4", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", - "MODEL_ID_SLUG = ROTATE\n", - "metric_name=INVERSE_HARMONIC_MEAN_RANK\n", - "plot_metric_vs_degree_scatterplot_single_model(metric_name=metric_name, \n", - " model_id=MODELS.get(MODEL_ID_SLUG),\n", - " results_by_node_degree_dict=results_by_node_degree_dicts_rotate,\n", - " entity_type_examined=ENTITY_TYPE_W_ATTRIBUTE,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS,\n", - " )\n" - ] - }, - { - "cell_type": "markdown", - "id": "5fc0987c", - "metadata": { - "tags": [] - }, - "source": [ - "### combine into one graph" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "id": "e3391ae1", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "img_outdir = Path('./data/imgs/')\n", - "def plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', \n", - " results_by_node_degree_dicts_combined=None,\n", - " img_outdir=img_outdir):\n", - " result_dfs = {}\n", - " for model_id, result_dict in results_by_node_degree_dicts_combined.items():\n", - " degrees, metrics = extract_relevant_metrics(metric_name, result_dict)\n", - " result_dfs[model_id] = pd.DataFrame(np.column_stack([degrees, metrics]), columns=['degree', 'metrics'], dtype=float)\n", - " model_ids = list(result_dfs.keys())\n", - " if len(model_ids)>2:\n", - " raise ValueError(\"This function currently handles results from 2 models. Amend logic to handle >2 models\")\n", - " \n", - " concatenated = pd.concat([result_dfs[model_ids[0]].assign(dataset=f'{model_ids[0]}'),\n", - " result_dfs[model_ids[1]].assign(dataset=f'{model_ids[1]}')])\n", - " plot, ax = plt.subplots(figsize=(10,10))\n", - " sns.scatterplot(ax=ax, data=concatenated, x='degree', y='metrics', hue='dataset', style='dataset')\n", - " plt.xscale('log')\n", - " plt.ylabel(metric_name)\n", - " plt.title(f'Average {metric_name} predicting disease nodes Vs. {ENTITY_TYPE_W_ATTRIBUTE} node degree | 2 Model Comparison')\n", - " #return degrees, metr ics\n", - " plt.savefig(img_outdir.joinpath(f\"{metric_name}_vs_node_degree_{model_ids[0]}_and_{model_ids[1]}.png\"))\n", - " return concatenated" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "id": "85e0f673", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "model_result_dicts = {MODEL_ID_rotate: results_by_node_degree_dicts_rotate,\n", - " MODEL_ID_bioblpp: results_by_node_degree_dicts_bioblpp}#results_by_node_degree_dicts_bioblp}\n", - "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_1', results_by_node_degree_dicts_combined=model_result_dicts,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "id": "89b6bd9d", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', results_by_node_degree_dicts_combined=model_result_dicts,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "id": "3cc06655", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name='inverse_harmonic_mean_rank', results_by_node_degree_dicts_combined=model_result_dicts,\n", - " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "id": "2d3e22c4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "wandb.login()" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "id": "894fc6f9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Tracking run with wandb version 0.14.0" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230324_173738-akwag7r0" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Syncing run cerulean-moon-114 to Weights & Biases (docs)
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View project at https://wandb.ai/discoverylab/bioblp-jupyter-trial" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View run at https://wandb.ai/discoverylab/bioblp-jupyter-trial/runs/akwag7r0" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tags = {\"model_name\": MODELS.get(BIOBLP_P),\n", - " \"study_name\": 'node_degree_trends_both_models_combined',\n", - " \"test_set_type\": TEST_RESTRICTED_PROT}\n", - "run = setup_wandb_result_tracker(**tags, \n", - " notes=f'combined lp results for {MODELS.get(BIOBLP_P)} and {MODELS.get(ROTATE)}', \n", - " project_name='bioblp-jupyter-trial',\n", - " wandb_entity='discoverylab')" - ] - }, - { - "cell_type": "markdown", - "id": "00b54157", - "metadata": {}, - "source": [ - "Save custom plots to Weights and biases" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "id": "8f8b1a91", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "20230324-173105-hits_at_1_node_degree_analysis-rotate-otxtubeb-20230324-173105.png\n", - "20230324-173137-hits_at_10_node_degree_analysis-rotate-otxtubeb-20230324-173137.png\n", - "20230324-173248-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-20230324-173248.png\n", - "20230324-173341-hits_at_1_node_degree_analysis-bioblpp-cttc3ucm-20230324-173341.png\n", - "20230324-173404-hits_at_10_node_degree_analysis-bioblpp-cttc3ucm-20230324-173404.png\n", - "20230324-173426-inverse_harmonic_mean_rank_node_degree_analysis-bioblpp-cttc3ucm-20230324-173426.png\n", - "20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", - "20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", - "20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n" - ] - } - ], - "source": [ - "!ls {EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "id": "c659f3a7", - "metadata": {}, - "outputs": [], - "source": [ - "#degree_analysis_hits_at_1_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", - "#degree_analysis_hits_at_10_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", - "degree_analysis_mrr_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", - "\n", - "wandb.log({\"hits@1_combined_bioblpd_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_and_bioblpp_path)})\n", - "wandb.log({\"hits@10_combined_bioblpd_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_and_bioblpp_path)})\n", - "wandb.log({\"mrr_combined_bioblpd_rotate\": wandb.Image(degree_analysis_mrr_rotate_and_bioblpp_path)})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0ebb255b", - "metadata": {}, - "outputs": [], - "source": [ - "todo - change for bioblpp -> add the new diff plots!\n", - "todo - compare micro averages to sanity check" - ] - }, - { - "cell_type": "code", - "execution_count": 187, - "id": "3000dd82", - "metadata": {}, - "outputs": [], - "source": [ - "#degree_analysis_hits_at_10_bioblpd_path = \"./data/imgs/node_analysis_hits_at_10_bioblpd.png\"\n", - "#degree_analysis_hits_at_1_bioblpd_path = \"./data/imgs/node_analysis_hits_at_1_bioblpd.png\"\n", - "\n", - "#wandb.log({\"hits@10_bioblpd\": wandb.Image(degree_analysis_hits_at_10_bioblpd_path)})\n", - "#wandb.log({\"hits@1_bioblpd\": wandb.Image(degree_analysis_hits_at_1_bioblpd_path)})" - ] - }, - { - "cell_type": "markdown", - "id": "f91c7732", - "metadata": {}, - "source": [ - "## " - ] - }, - { - "cell_type": "code", - "execution_count": 188, - "id": "e23efca4", - "metadata": {}, - "outputs": [], - "source": [ - "test_entity_split_by_disease_descr_path = \"./data/imgs/eval_split_entity_view.png\"\n", - "test_triples_split_by_disease_descr_path = \"./data/imgs/eval_split_triples_view.png\"\n", - "wandb.log({\"Split test set entities conditioned on entity having properties with text modality\": wandb.Image(test_entity_split_by_disease_descr_path)})\n", - "wandb.log({\"Split test set triples conditioned on having node entities with properties of text modality\": wandb.Image(test_triples_split_by_disease_descr_path)})" - ] - }, - { - "cell_type": "code", - "execution_count": 206, - "id": "d2291af3", - "metadata": {}, - "outputs": [], - "source": [ - "degree_analysis_hits_at_10_rotate_path = \"./data/imgs/node_analysis_hits_at_10_rotate.png\"\n", - "degree_analysis_hits_at_1_rotate_path = \"./data/imgs/node_analysis_hits_at_1_rotate.png\"\n", - "\n", - "wandb.log({\"hits@10_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_path)})\n", - "wandb.log({\"hits@1_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_path)})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cd80967e", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cbe993ab", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "6388b6d7", - "metadata": { - "jp-MarkdownHeadingCollapsed": true, - "tags": [] - }, - "source": [ - "## archived" - ] - }, - { - "cell_type": "markdown", - "id": "1a8ef226", - "metadata": {}, - "source": [ - "### previous stuff" - ] - }, - { - "cell_type": "markdown", - "id": "96f5bfba", - "metadata": {}, - "source": [ - "How do MRR, H@k, and AMR correlate?" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "b02936ea", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def plot_metric_pair(results_df, metric_1: str, metric_2: str):\n", - " \"\"\"Make a scatter plot with one link prediction metric in each axis.\"\"\"\n", - " plt.figure()\n", - " plt.scatter(results_df[metric_1], results_df[metric_2])\n", - " plt.xlabel(metric_1)\n", - " plt.ylabel(metric_2)\n", - "\n", - "plot_metric_pair(results_df, 'mean_reciprocal_rank', 'hits_at_10')\n", - "plot_metric_pair(results_df, 'mean_reciprocal_rank', 'adjusted_mean_rank')\n", - "plot_metric_pair(results_df, 'mean_reciprocal_rank', 'Count')" - ] - }, - { - "cell_type": "markdown", - "id": "40233f42", - "metadata": {}, - "source": [ - "What are the relations where the model performs better?" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "878e5429", - "metadata": {}, - "outputs": [], - "source": [ - "def per_relation_plot(results_df, metric: str):\n", - " \"\"\"Make a bar plot of link prediction performance for each relation.\"\"\"\n", - " results_df[['Relation', metric]].sort_values(by=metric).plot.barh(x='Relation', figsize=(5, 5), grid=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "9ed1dc24", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "per_relation_plot(results_df, 'hits_at_10')" - ] - }, - { - "cell_type": "markdown", - "id": "37396113", - "metadata": {}, - "source": [ - "### Evaluating over specific entity and relation types\n", - "The source csv files contain the triples, plus extra information like the types of the entities involved in the triple. We will extract the type information." - ] - }, - { - "cell_type": "markdown", - "id": "2568226c", - "metadata": {}, - "source": [ - "We can see that restricting predictions over the correct domain and range of a relation only slightly increases the results." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "21979430", - "metadata": {}, - "outputs": [], - "source": [ - "can you do an. analysis on degree....\n", - "compare rotate to this" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f0e48027", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "bioblp-env", - "language": "python", - "name": "bioblp-env" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.16" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb b/notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb new file mode 100644 index 0000000..f70af3f --- /dev/null +++ b/notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb @@ -0,0 +1,2079 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "29e67efe", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "markdown", + "id": "5d001f82", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c91dbf0f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/jovyan/.conda/envs/bioblp-env/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import json\n", + "from IPython.display import Image\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "import seaborn as sns\n", + "import time\n", + "from tqdm import tqdm\n", + "from typing import List\n", + "#from typing import Union\n", + "\n", + "from pykeen.evaluation import RankBasedEvaluator\n", + "from pykeen.triples import TriplesFactory\n", + "import toml\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6c6d1fbe", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import TEST, VALID, TRAIN, DUMMY\n", + "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, EVAL_METRICS_SHORTLIST\n", + "from nb_utils.eval_utils import COL_SOURCE, COL_TARGET, COL_EDGE, COL_NODE, DEGREE, IN_DEGREE, OUT_DEGREE\n", + "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", + "from nb_utils.eval_utils import setup_wandb_result_tracker, run_experiment_and_log_wandb\n", + "from nb_utils.eval_utils import compute_node_degrees_in_out\n", + "from nb_utils.eval_utils import load_kge_model\n", + "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", + "from nb_utils.eval_utils import make_results_dict_all_rel\n", + "\n", + "\n", + "from nb_utils.config import ARTIFACT_REGISTRY_TOML_PATH, EntityType\n", + "from nb_utils.config import load_toml, ModelRegistryConfig, EvaluationConfig\n", + "from nb_utils.config import GraphRegistryConfig, EntityType\n", + "from nb_utils.config import PROTEIN, DRUG, DISEASE\n", + "from nb_utils.eval_utils import ENT_ASSOC_REL_NAMES, EVAL_METRIC_REALISTIC, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", + "from nb_utils.eval_utils import PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n", + "from nb_utils.eval_utils import TEST, TRAIN, VALID, DUMMY\n", + "from nb_utils.eval_utils import TEST_RESTRICTED_PROTEIN, TEST_RESTRICTED_DISEASE, TEST_RESTRICTED_DRUG\n", + "from nb_utils.eval_utils import ENT_SPECIFIC_TEST_SET_STUBS" + ] + }, + { + "cell_type": "markdown", + "id": "442832de", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "markdown", + "id": "75c18459", + "metadata": {}, + "source": [ + "1. add the paths to the following models and biokg files in ./nb_utils/artifact_registry.toml\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5cdcb04e", + "metadata": {}, + "outputs": [], + "source": [ + "ROTATE = \"rotate-otxtubeb\"\n", + "BIOBLP_D = \"bioblpd-38uz9fjs-16-03-2023\" \n", + "BIOBLP_P = \"rotate-bioblp-p-4o6x9h96\"\n", + "BIOBLP_M = \"rotate-bioblp-m-1r75g9na\"\n", + "BIOBLP_D_old = \"bioblpd-38uz9fjs\" # older pykeen and BioBLP version\n", + "#BIOBLP_P = \"bioblpp-cttc3ucm\" # this was not pretrained\n", + "#BIOBLP_M = \"bioblpm-5rxz3k57\" # this was not pretrained\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d5659268", + "metadata": {}, + "outputs": [], + "source": [ + "toml_path = ARTIFACT_REGISTRY_TOML_PATH\n", + "model_reg_cfg = ModelRegistryConfig.from_toml(toml_path)\n", + "model_registry_paths = model_reg_cfg.registered_model_paths\n", + "model_training_paths = model_reg_cfg.registered_model_training_triples_paths" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6cde741b", + "metadata": {}, + "outputs": [], + "source": [ + "graph_cfg = GraphRegistryConfig.from_toml(ARTIFACT_REGISTRY_TOML_PATH)\n" + ] + }, + { + "cell_type": "markdown", + "id": "8b43bfd3", + "metadata": {}, + "source": [ + "### load triples data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "27ab0cf9", + "metadata": {}, + "outputs": [], + "source": [ + "# load training splits\n", + "MODEL_ID = ROTATE # BIOBLP_D\n", + "train = TriplesFactory.from_path_binary(model_training_paths[MODEL_ID])\n", + "\n", + "\n", + "valid, test = [TriplesFactory.from_path(f,\n", + " entity_to_id=train.entity_to_id,\n", + " relation_to_id=train.relation_to_id)\n", + " for f in (map(graph_cfg.biokgb_data_splits.get, [VALID, TEST]))]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "fca5d53a", + "metadata": {}, + "outputs": [], + "source": [ + "triples_dict = {\n", + " TEST: test,\n", + " VALID: valid,\n", + " TRAIN: train, \n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "e64c0348", + "metadata": {}, + "source": [ + "#### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4b771eba", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating test sets with triples restricted to containing drug\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# drug entities in larger biokg (pre-benchmark removal): 13580\n", + "# drug entities for which we have attributes: 10815\n", + "Creating test sets with triples restricted to containing protein\n", + "# protein entities in larger biokg (pre-benchmark removal): 122902\n", + "# protein entities for which we have attributes: 121988\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating test sets with triples restricted to containing disease\n", + "# disease entities in larger biokg (pre-benchmark removal): 11347\n", + "# disease entities for which we have attributes: 11347\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "text/plain": [ + "dict_keys(['test', 'valid', 'train', 'TEST_RESTRICTED_DRUG', 'TEST_RESTRICTED_PROTEIN', 'TEST_RESTRICTED_DISEASE'])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "LIST_ENTITY_TYPES_W_ATTRIBUTE = [DRUG, PROTEIN, DISEASE]\n", + "\n", + "for ent_type in LIST_ENTITY_TYPES_W_ATTRIBUTE:\n", + " print(f\"Creating test sets with triples restricted to containing {ent_type}\")\n", + " test_triples_incl_ent_prop, test_triples_excl_ent_prop = create_entity_attr_aware_test_sets(entity_type_w_attribute=ent_type,\n", + " graph_cfg=graph_cfg,\n", + " train=train,\n", + " test=test) \n", + " triples_dict.update({ENT_SPECIFIC_TEST_SET_STUBS[ent_type]: test_triples_incl_ent_prop})\n", + " \n", + " \n", + "triples_dict.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "99fcbc46", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# triples originally in test: 185227, valid: 185226\n", + "# test triples with drug nodes: 123636\n", + "# test triples with protein nodes: 54064\n", + "# test triples with disease nodes: 17063\n" + ] + } + ], + "source": [ + "# create set of triples\n", + "print(f\"# triples originally in test: {test.num_triples}, valid: {valid.num_triples}\")\n", + "for ent_type in LIST_ENTITY_TYPES_W_ATTRIBUTE:\n", + " print(f\"# test triples with {ent_type} nodes: {triples_dict[ENT_SPECIFIC_TEST_SET_STUBS[ent_type]].num_triples}\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "59b06bc6", + "metadata": {}, + "source": [ + "## Plots" + ] + }, + { + "cell_type": "markdown", + "id": "1c013ad6", + "metadata": { + "tags": [] + }, + "source": [ + "#### exploratory peek into transformed data and distributions" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "467089c9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n", + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde_ = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "\n", + "test_triples_ent_w_attr_df = nde_.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde_._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "dfaa2b8d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'src': 52678, 'tgt': 1386}" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# we see the count of triples where the {ENTITY_TYPE_W_ATTR_ENCODE} occurs as the head/src vs tail/tgt\n", + "triples_by_node_endpoint = {node_endpoint: len(test_triples_by_node_endpoint_to_predict[node_endpoint]) for node_endpoint in [COL_SOURCE, COL_TARGET]}\n", + "triples_by_node_endpoint" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "ed99dcf3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Counts of triples with protein in src/tgt position {'src': 52678, 'tgt': 1386}\n", + "i.e.,97.44% test triples with protein occuring in source position than in tail position\n" + ] + } + ], + "source": [ + "print(f\"Counts of triples with {ENTITY_TYPE_W_ATTR_ENCODE} in src/tgt position {triples_by_node_endpoint}\")\n", + "print(f\"i.e.,{round((triples_by_node_endpoint[COL_SOURCE])/(triples_by_node_endpoint[COL_TARGET]+triples_by_node_endpoint[COL_SOURCE])*100, 2)}% test triples with {ENTITY_TYPE_W_ATTR_ENCODE} occuring in source position than in tail position\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "2184de00", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Restricting analysis to relations where we predict 'protein' as 'src'\n" + ] + } + ], + "source": [ + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "print(f\"Restricting analysis to relations where we predict '{ENTITY_TYPE_W_ATTR_ENCODE}' as '{NODE_ENDPOINT_TO_PREDICT}'\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "e64358cc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 52678.000000\n", + "mean 53.009795\n", + "std 67.602469\n", + "min 1.000000\n", + "25% 11.000000\n", + "50% 29.000000\n", + "75% 65.000000\n", + "max 480.000000\n", + "Name: src_training_degree, dtype: float64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rels_for_ent_w_attr_as_src = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_SOURCE]\n", + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_for_ent_w_attr_as_src)][f'{COL_SOURCE}_training_degree'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "44febcd2", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 1386.000000\n", + "mean 75.972583\n", + "std 82.988725\n", + "min 1.000000\n", + "25% 24.000000\n", + "50% 44.000000\n", + "75% 97.000000\n", + "max 409.000000\n", + "Name: tgt_training_degree, dtype: float64" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rels_w_prot_as_tgt = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_TARGET]\n", + "test_triples_ent_w_attr_df[test_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_prot_as_tgt)][f'{COL_TARGET}_training_degree'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "0e524c9e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# unique entities of type 'protein' of training degree 1 in associated triples where it occurs in position src: 803\n" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import get_unique_endpoint_entities_in_testset_of_given_degree\n", + "\n", + "DEGREE = 1\n", + "unique_ent_w_attr_as_src_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=DEGREE, node_endpoint_type=COL_SOURCE)\n", + "print(f\"# unique entities of type '{ENTITY_TYPE_W_ATTR_ENCODE}' of training degree {DEGREE} in associated triples where it occurs in position {NODE_ENDPOINT_TO_PREDICT}: {len(unique_ent_w_attr_as_src_in_test)}\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "fe09a47c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_prot_as_src = test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT]\n", + "prot_degrees = test_triples_prot_as_src.groupby(['src_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=prot_degrees, x='src_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "#plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "0ccc9272", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_prot_as_tgt = test_triples_by_node_endpoint_to_predict[COL_TARGET]\n", + "prot_degrees = test_triples_prot_as_tgt.groupby(['tgt_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=prot_degrees, x='tgt_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "#plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "e196113b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot, ax = plt.subplots(1, 2, figsize=(10,10))\n", + "sns.boxplot(ax=ax[0], y=test_triples_prot_as_src['src_training_degree'])\n", + "sns.boxplot(ax=ax[1], y=test_triples_prot_as_tgt['tgt_training_degree'])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "ca75bfb6", + "metadata": {}, + "outputs": [], + "source": [ + "from pykeen.triples.triples_factory import TriplesFactory\n", + "train_triples=triples_dict.get(TRAIN)\n", + "valid_triples=triples_dict[VALID]" + ] + }, + { + "cell_type": "markdown", + "id": "e33295e6", + "metadata": {}, + "source": [ + "## Plot - Plotting the difference in LP scores by RotatE and BioBLP-X\n", + "\n", + "Prerequisites:\n", + "- Get the json files for evaluation metrics by node degree from [Google drive](https://drive.google.com/file/d/1m9G9R_oYwpazNcUdAz-TESJsrIlCCQHb/view?usp=share_link) \n", + "- unpack and place the above archive in a directory `BioBLP/notebooks/metrics`" + ] + }, + { + "cell_type": "markdown", + "id": "e83b9a3a", + "metadata": {}, + "source": [ + "### define plotting logic" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "fa14cf52", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, get_unique_endpoint_entities_in_testset_of_given_degree\n", + "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", + "from nb_utils.eval_utils import HITS_AT_1, HITS_AT_3, HITS_AT_10\n", + "from nb_utils.plot_utils import merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff\n", + "import matplotlib.ticker as ticker\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "5de3f34a", + "metadata": {}, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "3c1c192f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "disease ['rotate-otxtubeb', 'bioblpd-38uz9fjs-16-03-2023']\n", + "protein ['rotate-otxtubeb', 'rotate-bioblp-p-4o6x9h96']\n", + "drug ['rotate-otxtubeb', 'rotate-bioblp-m-1r75g9na']\n" + ] + } + ], + "source": [ + "NODE_DEGREE_EVAL_RESULTS_DIR = Path(\"/home/jovyan/BioBLP/notebooks/metrics/node_degree_eval_lp/combined_spotlight_ent_as_src_and_tgt\")\n", + "ent_type_specific_models = {\n", + " DISEASE: [ROTATE, BIOBLP_D],\n", + " PROTEIN: [ROTATE, BIOBLP_P],\n", + " DRUG: [ROTATE, BIOBLP_M]\n", + "}\n", + "eval_out_dir = NODE_DEGREE_EVAL_RESULTS_DIR\n", + "results_dicts = {}\n", + "for ent_type, model_list in ent_type_specific_models.items():\n", + " print(ent_type, model_list)\n", + " results_dicts.update({ent_type: {}})\n", + " for model_name in model_list:\n", + " file_name = f\"node-degree-eval-{model_name}-spotlight-{ent_type}-as-src-and-tgt.json\"\n", + " with open(eval_out_dir.joinpath(file_name), 'r') as f:\n", + " result = json.load(f) \n", + " results_dicts[ent_type].update({model_name: result})" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "038c9598", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " degree hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 67.0 0.174061 0.395904 0.511945 \n", + "1 61.0 0.193916 0.342205 0.425856 \n", + "2 7.0 0.090008 0.172387 0.217391 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate count \\\n", + "0 0.617747 0.323485 293 \n", + "1 0.581749 0.305905 263 \n", + "2 0.282990 0.152639 1311 \n", + "\n", + " hits_at_1_bioblp hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.075085 0.139932 0.225256 0.283276 \n", + "1 0.038023 0.072243 0.133080 0.228137 \n", + "2 0.028223 0.031274 0.032799 0.034325 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.141346 43 0.098976 0.255973 \n", + "1 0.085021 46 0.155894 0.269962 \n", + "2 0.030723 905 0.061785 0.141114 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.286689 0.334471 0.182140 \n", + "1 0.292776 0.353612 0.220883 \n", + "2 0.184592 0.248665 0.121916 " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", + "BIOBLP_MODEL_ID = BIOBLP_P\n", + "ROTATE_MODEL_ID = ROTATE\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "merged_bioblpp_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][BIOBLP_MODEL_ID],\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_ent_w_attr_df,\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK) \n", + "merged_bioblpp_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "4df1732a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "text/html": [ + "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpinverse_harmonic_mean_rank_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
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\n", + "
" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 429.0 80 0.062500 0.150000 0.187500 \n", + "1 269.0 27 0.000000 0.074074 0.148148 \n", + "2 733.0 92 0.097826 0.271739 0.347826 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblp \\\n", + "0 0.375000 0.147620 0.05 \n", + "1 0.296296 0.084560 0.00 \n", + "2 0.500000 0.219906 0.00 \n", + "\n", + " hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.06250 0.062500 0.087500 \n", + "1 0.00000 0.037037 0.037037 \n", + "2 0.01087 0.021739 0.054348 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.071328 4 0.012500 0.087500 \n", + "1 0.027240 7 0.000000 0.074074 \n", + "2 0.018369 1 0.097826 0.260870 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.125000 0.287500 0.076292 \n", + "1 0.111111 0.259259 0.057320 \n", + "2 0.326087 0.445652 0.201537 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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VM4bgbdYar1pIuG1W27oJ3n/ygVlB+3GWc+5bzrn17uDGNQ+Jx9czIJ5D9k8z6w7cAfwT+KMd3DZF8PDFeMm+6nGT8RN9AXoE9E/CO59sIrrjO9y41QbjVVc8hPPeqlO9Pt4LMcgKb7IWmMj4G/AlXhXXNng/xgP3n3Dnqs1A9+r2JYJjj6Gn8c7RZwNL/CQQRHd+Cz5Xvumcm4SXFPoSr8pT9bS+GTStTOfcnAbEfZc//+H+er2CQ4/LmJ0r8fbxCg7+IRyNfCBku14xUts+X9v+V1/B6zaa7RHJLuBMvLZ4jq1nDKG22aYww0Ld100+8Ougdd3KOfe0c+7JgHPD6QHj1Ha+iSZ2gPb+uT9cf2obNsz5vE4Cx3fOrY92tDDdv45XtbO2t686DmyXzUS4f3TOFTjnLnfOdXXODcX7nTg3yjij2YfDXh9EpPEo4SPSNF7DexJTLRvvB/luM+uA92Ouhl/y43ng93j19d/2u1fiFbed5pdEOALvoh9Tznsl8nbgIeBN59xuv9dcYK95DT1m+iU4hpnZ2HDTMrMrzCzHfzpXPZ1KvKc/Z5nZZH86GeY1gBi2ockoZOO1BbET70fvbxowrVCeBb5qZiebWSpecqAUr72AupiLd+N1t5m19pc92pv0Wvnr+kHgz2bWGbykgZlN9geJuP/FUCy2xybgZOB7ZnZDPcZ/CrjKzEb4iZLfAB87r0FK8H6A9g2KOdK6CR7+38BAM/uamaX6f2MtoDHvIK/5w19mXiO/F+O1xfXvUNP3ExaP4lVNuwZvv/llhHiW4zV0+lV/H70dr2h/oNFmdp6fcLwJbxt9RHTHd7hx8dfvaPzzVV35JZn+y6Hnyr1AkX+++1bQOOHOVR/inWe+46/ns/Haioq1GXjt2XyLA4l5qOP5zbyG4qf4PzRLgSI/fvDazfmJ+Q2em1lbM7uwgXFn+/PY7SfYftTA6QV7Gvi+mfUxsyy84+6ZepRqfBKv4emL/O3Y0X8QEiu17fMR978YavD2cN4ryi8HXjKz8fWI4WngdjPLMa+R/p/j7cfgnWc6mt/wdkDMkdZN8LnpQeB6Mxtvntb+eSqb8MKeb+oQe7U7zSzNvNKFZ3Lom63qO2yD+PPJwEuOpPrnimh+n30d79oQOK12/jknwz9eLsd7aPGmP8izeNfDweaVSvx50Pj9/GMs2cxOxys1FrGh+wAR9+GGXh9EpP6U8BFpGo8BZ5j/liS8xmsz8UpifIRX3SbYU3glI54Lukn+Dl5piS14De49jXcTFGtP+/Ov+RHjJ5zOwmvXZA1e/A/58YRzGrDYvCLQ9+K101DinMvHeyp+G94Ptny8G4SGnJcewyt+vRFYQugbw3pzzi3De2r1V7xlPws4yzlXVsfpVK/H/nhtkGzAq84RSz/GazT1I/OKV/8Xr+QKRLf/xUJMtof/JPRk4Mdmdm0dx30Hr+2lF/CSJf2ASwIGmQZMN6+KwUXUvm7uxStRssvM/uKcK8T7wX8JXnJqCwcaQg0Vz068HxA/xEuE3QKc6ZzbEWr6eEXsu+C1IeHwGoe+yg5UiboL74fObjO72a/OcQPecbkRr8RPcJH8V/D2t114bQqd55wrj/L4Djmu328KMNM5F+7JeTT+7k+32s14JcUK8X4wPhNinFDnqjK8hpqvwUs0X4GXVIvpudI5txkvuXRMYGz1OL8l4e0Tm/CqbJ2Atx1xzr2Et0/N8I/lL/De/NgQd+I1orsH+A/eg4RYegTv+jQbb18qwWtLp078Y/8MvHVTgNeQ9FGxCjKKfT6a/S8WYrI9nHNv450jXjWz0XUc/VfAfLwSyYvwGn/+lT/dL/GOs9X+uSaX2tfNNALOrc65+XjtbN2Hd/5YSdBbp0KIdL6JKnbfFn8am/CSiNf7yxRKXYaNhbfwHjIcA/zD/zwx0ghmNgGvpE5wIioVb7mrG23+Ll77QcsAnHOv4zWc/D+89f+hP171eXE03vorxLu2XO6cWxzlctS2D8fi+iAi9VD9ZgsRaWRm9htgm3PunhhP97dAV+fclbGcrohIXZjZx3iNC3/RwOm8D3zXL70TM358Dzjn/hnL6YpIYjCzE/EaDG9ISePDhl8S9Qu8N6XVtfRdXecVk+uDiNSdEj4ihxm/6HQa3lOYsXhVRK51zr0cz7hERJoTMzsB7y1AO/CqujyA9xa5zXENTESapZaQ8DGzc/FK4LQGpgNVzrlz4hqUiDQqVekSOfxk4xWVLcarj/1H4BUzO94OfgNEqLdJHBbCLYeFfrNPwjCzB8Is9wPxjg3ADn6TSuBftEW+YxFDwuzn0ugG4TUQugevStAFzrnNZnZbmH3o9ciTa15a8rFgB7/xLfDv8njHBs3jXJ4o+7nE3DfxqnytwmsnrLHapRKRZkIlfEREREREREREEoxK+IiIiIiIiIiIJJhGSfiY2etmdmXA91+Z2Q4z2+J/P9fM8v2ipSMbI4bGZmbOzPo38jweNbNoX4cYzfQaPeYo4zjRzILfGhNu2GlmFvxqzWjGW+zXxa4zf7/sW/uQzZuZzazrG42aA7+awrJ4x3E4ifWxXZdjtLkJPG82ZF/yq2T8LLbRHTKPC81sjZntasR5NPpyyOGhIfcUweOa2WdmttnMvh+7CKOOZaiZfWpme817W1Fjzqu3f35Nacz5NLbD7X7AzP5lZtvN7PdNPN+p5jUa3+yZWVcze9+8t6DF+i2f1fPQ/ZgADbsvDB7XzG4x702kb5pZq9hFWWscMTufH273yXVO+Pgrqtj/UbzTzN4JPtE45053zk33h++BV3d+iHOuqz/IH4DvOOeyYv0WjubEzP5hZt+I07wPq4t7rDnnhjrnZtZz3Czn3OoYhyRRcs6955wbVPuQIpFFuy+Fusl3zl3vnPtl40UHwK3Avc659rGYWG3LEasblMPpR1F9hLopTPRlrivn3FF4r9i+Iw6zvxpYDbRzzn1Y28ASG0350NA5dxZwEnCzmbVrinnGkpl9aWZXh+h+o5nNj9FsLsR7DXtn59wzsZhg8DYOvoaa2VozOyXW80k0oX6DJfoy14Vz7ndAHnAEcGqcw2kR6lvC5yjnXBZeg4iPAveZWbiLfi9gp3NuW1C3ejXyeZg9ZTkN7w1KIhE19/3azJLjHUOiau7bPp5awLrpgPdKXEkALfA8+QXQNg7L3QFY6pyrauL5ShMKeH13x7gGUj/Tga+H6P41v18sdABWOOfKYjQ9iaMWcL9zEOdcMbCGw/P4bjSNtR80qEqXc26Hc+5xvBbef2JmHeFAZtPPAr8N5Polgp427+0RycBnZrbKHz7XzF7wi2+uMbPvVc/DvCo9z5vZE2a2F5hqZm3N7GG/OPFG86qMJfvDT/WLOP7BLy62xsxOD5heBzP7p5lt8vu/HNDvTDNb6BePnGNmw2tZBWeY2Wrzqqv93sxq1qc/7m7n3AYzW2dmo/3uV/hZ3iH+92sDYwihk5m9bWaFZjbLzHoFzOMYM5tnZnv8/8f43X8NHI+XiCsys/sCpneKma3wl/1+M7NQM/XX+3P+ei80s0VmNtDMfmJm28yrkndqwPC5ZvaqmRWY2Uozuy6gX6Z5xcF3mdkSvFeJEzRuyO0fNFyGH89OfxvNM7MuYYateQrhL8uzZvaYvyyLzWxMuBUemIX3477fzP7jj/uxmfXz+z1gZn8IGvcVM/tBbcsVZr8eZ2bzzSumvtXM/hQw/NH+PrnbvKL0J4aLP0gvM/vAj/0tM+sUMM3nzGyLv//MNrOhAf0eNbO/mdlrZlYMnOSv0x+Z2efmlfJ72My6mFeFs9DM/mtm7QOmMcVf17vNOycMDto+N/vT2mNmz5hZht8vuOhnDzN70V+PO4P251Dbb6q/zH/2573avGNlqr/fbrODq5ymm3e+WO+v9wfMLNPv197M/u3Pe5f/OS9g3Jlm9stw6zhMfNWlB64xs/XAu1Fuj5D7YYjpH+cv50kh+k03sx/6n7v7cdzgf+9v3vFrAcP/0F9fm83sqijX2YlmtiHCuI/6w4c7rzkz+7aZrQBW+N3CnpvNbKSZfeJP6xkgI6BfrfuSv18+AEww73y5OyDOXwVOJ8IydTSvCsJe885Lv7LoSoOkAIf8aDWzq81sqR0o8hy8fq63oPN4bcthZq2B1zlwPS4y7xy1z/xrtz/8aH/9pIYKONR8zGysvx8Elog538wW+p+rz3fP+NvpEzM7KmDYqK4BAcNnmNl+8481M7vdzCrMrI3//Vdmdk8t0/iqHagWlG9m0wJ6z/b/7/aXcUKEdXvQeTLC/BpyzGSa2R/Nu5fYY949TvW4kc6zYY8Nv3+9jqsA1ftuxBvUSOva6nBdDxDuuAl5nTSzSyyoVIWZfd/MXq0tvmhZ5HugOt2DBIwX9jrp97/On1eBP+/cgH6TzCtlsse8a6YFTTvsOSZMLNXHxGf+MXCxmX1hZmcFDJNq3v3wCDtwnfuGeffbm82/9vjDJpnZrWa2yt/2z5pZhxCzdtS+f0Vcv2Y22D82dvv9pgT06+ivu71mNhfoFzTtI8y7VhWY2TIzuyhSLAEeB46zg8/dg4HhwNP+96nm3Z8Umnfeq+sb5sIdB2Fjtsj3tKG2cc011MweB3oC//L73+JP57tB8//czM4JF3Qc96XAGKZbHe6FQozf3sLcG1qI32CR1q2Z/di8Jk/+WUvMkc7XtZ0rzvbH3euvp9P87o3y2622cQNUUfvxXdv1sa15x/52866Rt5v/e9zMks277u4ws9XAV4OmHTafECKOhq6P6f64S/1jJ/DedK2/H3wOFJtZikX43VeXuGs45+r0h3fy7R/ULRWoAE73v88ErvU/nwhsCDcNvKTTAuDnQBrQF6+o7mS//zSgHDjHHzYTeBn4O9Aa6AzMBb7pDz/VH/46vMTSt4BNUPNGsv8AzwDt/bhP8LuPArYB4/3xrgTWAukR1sP/8DLsPYHl1cvs978VuMv//BjwQ//zP/BehfitgH7fDzOPR4FCYCKQDtwLvO/36wDswntakAJc6n/vGLwNgmL+N9DOj3k7cFqYeU8DSoDJ/vQfw8vE/tRfb9cBawKGnwX8H95N4Qh/2if7/e4G3vNj7oH3VHBDHbb/E/7nbwL/Alr522g00CZM/GuBU4KW5Qx/vLuAj6LZx/1tUACM89fDk8AMv99EIJ8D+1Z7YD+QG+VyBe/XHwJf8/tnAUf7n7sDO/34k4BJ/vecWo7VmXj72kB/+jOBuwP6X433ivd04B5gYdC+twc41p9nhr9OPwK6+DFtAz4BRvrTeBe4wx9/IN5r4yfh7S+3ACuBtIDtM9dfVx2ApcD1wecMf3t9BvwZ73jPAI6rZbmn4p2PrvLH/xWwHrjfj/NUvOMqyx/+HuBVP45svH2s+tjtCJyPt89lA88BL0e7jsPE1xtvH3vMX6bMKLdHyP0wcJ/FO17zgXFh5n018C//82V+7M8E9HslYBtUAL/wt98ZwD6gfRTrrLZxHyXMeS1gWd72p51JhHMz3rG1Dvi+P68L8I6rX9VlX8LbZ94PWlePBk0n0jLN8P9aAUP8bfB+uH3AH+dIP9bg6+k5eMfKYH9b3w7MieY8HuVyBF+PX8O/Hvnf/wz8NYpjLHg+S/DvAfzvL3HgujfNX9YL/PV3M971JJVazpURYpgNnO9/fgtvXz49oN+5tYx/or8NkvB+hG0Fzgk6RlNqWeZHCTpPRpjfPdT/mLkf79zSHW8/PgZv/w97nqX2Y6Pex1XAMmXiXVvPbMC6jvq67g9ffb0Ivr8Je530p10IDAgYfh5wSX32hTBxRboHmkYd7kECprmW8NfJrwA7/O2YDvwVmO336wTs5cDx9n28/av6vvwcIpxjIsRz0P2/v789E/D9bGBR0Hp7Gu98e6S/Tqrvy27Cu5/I8+P/O/B0iHmuA76Nf58VJq6w69df/pXAbXj79Vf8fWGQ338G8Kwf4zBgIwfus1vjncuv8tfTKH+dD61tXfnjvw3cHvD9Lvz7B3/aewPi6BbtdP3hW+HdcwUfkxFjJsp7iaBjd0PA97XV29D/fhHwccD3o/COu7Tmti8FzT+qe6EI40dzbxjqN1jwuq0AfuvHnRlhfhF/oxL5XDEO7zo1Ce8c1x04IorzVkN+u4UdN2i5pgNPRdpfqP36+Bjwir8deuP9Hr/G73c98KUfQwe83+0153Mi5BNCxNHQ9TEL73diHvA5hx5XC/3pZlLL7766xF0zj2hPLuF22IDuW4DLg3d0ak/4jAfWB/X/CfBP//M0/IuY/70LUErAgYGX7Pif/3kqsDLopOiArngn1KrqnSRonn8DfhnUbRl+QijMejgt4PsNwDsB398Djvc/XwO86n9eClzLgaTBOmBUmHk8ysEn4iyg0t8hvgbMDRr+Q2BqLSeb4wK+PwvcGmbe04C3A76fBRQByf73bH967fx4KoHsgOHvAh71P68OWlff4MBBEs32r074XA3MAYZHsZ+u5eCEz38D+g0B9kezj/vb4KGAfmcAX/qfDS+RMNH/fh3wbn32a7/bbOBOoFNQ9x8Djwd1exO4spZ1MJODbzZuAN4IM2w7f7nbBiz3YyHW6eUB318A/hbw/bscuJn5GfBsQL8kvBupEwOmdUVA/98BD/ifTwzYPybgXYAi3mwHxTkVr5hz9fcj/WXrEtBtJ97FzfB+MPUL6DeBgGRm0LRHALvqs44Dhuntx9M3wjChtkfI/TBgn/0J3vnkyAjT7Qfs9rfHA3g/tqrX9XTgBwHbYD8H/+DdBhxd2zqLNG7AsoQ8rwUsy1cC+oc9N+MljWoS+n6/OYRO+ITdl4guURJufSTj/RgeFNDvV8HTC5r28/5y/jFEv9fxb1YCjp19QK+A9RPyPB7lcgRfjy8GPvA/J+Ndy0MmDGtZXz8GnvQ/d/Bj7uZ/n0bAD1x/mTbjPQWNeK6MEMMvgb/g/WjZAtyId1OV4W+rTpHGDzG9e4A/Bx2j0SR8Hoti2vU+Zvx1tR+vKn3wdMOeZ6n92Kj3cRU0znfx7qsW1nNd1+W6/l1/u3wEpIbY/8JeJ4EngJ/7nwfg/ehvVZ99IcTwtd0DTaMO9yABw60l/HXyYeB3Af2y8M5DvfGqEgUebwZs4MB9ecRzTIR4au6N/O+5/nps439/HrglaL0dERT/w/7npfg/LP3v3fz4U4LmeS5QhldiPlxcYdcv3jlmC5AU0P9pf5zqc3dgjL/hQMLnYuC9oHn9Hf/BVhTb7wpgWcA6Xo+fiMb7obYbL2kQ9od+mOlO8fe3lQT9nqktZqK7l6hLwicdL4E0wP/+B+D/oliGJt+XguYf1b1QHbbJCA69N4wm4VNGhAcFAcNG/I1K5HPF3/HPZ0HjN+Zvt7DjhtgOW/ztNSbMsp9I5PuvUrx2gqv7fROY6X9+Fz/x5X8/lQOlBiPmE0LE0dD1MTmg37UcelxdHfA97PWsrnFX/zWoSlc184p+5+Ad9HXVC6+I+e7qP7xMfGCR3vyg4VOBzQHD/x0vw1VtS/UH59w+/2MW3s5d4JzbFSaOHwbF0QPvJBROYFzrqoc1r4G5I/BuYsDL6h1vZl3xds5ngGPNrDfQFi+rV+s8nHNFeOs41/9bFzTsOrysYCRbAj7vw1sv4WwN+Lwf2OGcqwz4jj9+Lt56LQwTSy6Hrqtq0Wz/ao/j7fAzzCvW+TsLU+0ghODlzrDo60mGXGfOO8pm4B1o4D0leNL/XNf9GrzE4EDgS/OKtZ8ZMK0Lg6Z1HN5FrV6x+8Uc7/aLdu7FO9mA92QwXHxw6D4R/L16fzpo/3ReWwv5HLx/RrMv9gDWOecqQvSLJDgunHOhYq1++rsgYN2+4XfHzFqZ2d/9YqJ78ZJy7YKKTtblmApUs36j3B61zecmvB9/i8LN0Dm3Ci9xOwLvRvjfwCYzG4T3Q29WwOA7g9Z79TwjrrNaxq0W7rx2SH8in5tzgY3+sVgt+LxYrb77UrVI6yMlKOZQx04N59wFeKVCvutfFwL1Au4NWNYCvB9sdT12ovUKMMS8NxNOAvY45+bWYzpPAGeZWRbeU9/3nHObA/oHbvMqvB+gudTtGhBoFt6N4ChgEd7T9BPwbgJXOud2RBrZzMab2f/84td78J4ERqyOGUbEbe1ryDHTCS+JtSrEdCOdZ2s7Nhp8XPnX0DvxHkCFfeNqLes66uu6c+6veNe9rnglAALVdp18ioOv1S9X3x/GYF+o7R4I6n8PEu5YD972RXgPMqq3feDx5jj0nFrbOaZWzrlNwAfA+f597+kcuAeqFvI+2Y/hpYAYluL9+Aw+7u/ES85ErKJD+PWbC+S7g9t7qt42oc7dwcfI+KB96nK8/S8aLwLdzOxovHNVK7xaBjiv/ZKL8fa1zeZVjToimok656pLCu7Eu28MFE3MMbt+OOdK8R46XGFeNZpL8Y7puk6nKfalwPnV5V7oEFHeG0Zju3OuJIrhovmNGm679iD89aOxfrtFGjfQjXilLds45yI1Zh7p+lhdIrU+y1BbPiFQLNdHqPuG4HN0uOtZXeMGaqk3Vwdn4xW3qs9NYj7eU64BEYYJvOnIx8tsdarHjXs+0MHM2jnndofo92vn3K/rML0eHGh8uifeEzHwqlW8U50ccc6tNLN9wPfwSnUUmldf8xt4TxIiNTzYo/qDfyPdwZ/PJryNHqgn3k0kHLzOGtsmvPWaHXDi6In3pBG8J7nB66paNNsfAOdcOd7F/04/WfYaXob74QYvQf09DbxlZnfjZXjP9bvXdb/GObcCuNS/aJ4HPG9e2xr5eJne60JMo74uwztuT8FLLrTFqxIYWGe5IfvQJrySNQCYmeHtAxvDjhFaPtDTzFIa8EM9kh14yZ+hzrlQsf0Qr3H68c65LWY2AviUoPYQ6ilw/UazPWpzIfCwmW10zt0TYbhZeEX905xzG81sFt4T4fZETj5Xq22dRSPcea1a8Dk/5LnZzE4AupuZBfw47Unom5tI+1JD9vXteNe/PLyixBCwfOE45+aY2U68JG/gjVr18gbf7EajtuU4pL9zrsTMnsX7UXAE0d2sh5rORjP7EO8c+DW8J5KBArd5Et762oS37qK6BgSZg3dsngvMcs4tMbOeeHX0I96s+54C7sOrBlZiXps/1T/yQ63HcOs2mn2nIcfMDrzqKv3wqiQGinSedUQ+NmJxXHXBO2+8HJQcChZ2Xdf1uu6fhz/EK8URqLbr5Ft4bSKOwPtR+v1o4otSbfdAjeGge0Dz2ujq6M+z+p6rup9x8DmpIeeYYNPxnlanAB+G2L974FWpgIPvk/Pxnmh/UMv0B+NVr6lvA92bgB5mlhQwjepmGKrP3cExVsvHO7dMqs+MnXP7zOx5vOtrJl7J1rKA/m8Cb5rXHtevgAfxkg/RTHuPmb1L6OOg3jFHM+sQ3abjXTfeB/a5+r85r7H3pWANuReq7d4w2nuKaIerz2/UwHH7hejemL/dIo0baDDe9WN/mP612YFXOqgXXrXy6nkFLwMB/arVNZ/Q0PWRFxBjqHvE4PvekNczM+tWx7iBBjbabF4DyJfj1S//rXNuZz0mMxfYa15jRZnmPekeZmYhG3jynxi+BfzRzNqY11hXP/8GJSJ/3NeB/zOvwa1UM5vo934QuN5/0mNm1tq8hvyyI0zyR/50euBlKatfi/hVDn071yzgOxy4EZ0Z9D2cM8xrhDUNrwj7x865fH/6A83sMvMad7oY78T/b3+8rXh1CBudH88c4C7zGmAcjvfUofpm4lm8Rr3bm9eoWWADb1FvfzM7ycyO9DPoe/EO8srg4ZqSc+5TvJuGh4A3AxKJddqvAcxr0DvHvympnk4lB56cT/ank2FmJ1pA48H1kI13wtiJ99TpNw2YVijPAl81s5PNe1r7Q39+cyKPdoi5eCfKu/1jMsPMjo1VkP66fhD4s5l1hpoG/Cb7g2Tj/VDbbV4jgHfEat5BYrE9NgEnA98zv/HBMKrPRbP97zPxjsn3A0rwhRXFOotGuPNaKJHOzR/i3bB/zz8PnodXXz2USPvSViDPj6dO/HX2IjDNvKd+RxD67SyhlOI9nQr0AN75cijUNM53YZTTq205tgIdzaxtUPfH8KosTcE739R3Po/htcVwJF4bPoFGm9l55j11vwlv2T+iHudKqCm9uwCvfY/q6+gcvOLc0SR8svGebpaY2Ti8pGu17XjVlAKvoQ3ZR+p9zPjjPgL8ybxGIZPNbIKZpRP5PFvbsRGL46q6JE5pLYsRdl3X87oe6riJeJ30b4yfB36Pl2B+O5r4ohHFPVBjeAq4yrxGbdPxrhkfO+fW4pUiGRpwvH2Pg0t41PccE+q+8mW8UnY34h3/wX7mnxeH4rUrU32f/ADwa/MbNTazHDMLLrUF3o//2vavSD7Gq055i3n3/CfiNVEwI8S5ewhelYlq/8a7z/6aP26qeQ3UD/Zjnmpma2uZ/3S8kjznE/B2LvNeeDHFvERdKV5pk7rez4Y6DiLGHIXafjsc0t9P8FQBfyT60j3x2JeCNeReqLZ7w1DL15DfZfX5jVrtYbxzxcnm/WbubmZHNPJvt0jjBkqlAce3v52exdv+2f4+8AMO3Mc8i3cdyzPvpTK3Boxb13xCrNZHd7z9LpKw17P65kHqm/D5zLy3ba3Ey8Z+3zn38/pMyN9YZ+EVq1uDl617CO8JdzhfxzvJLcF7Cv480VVvAe/JYzlelngb3o0nflGy6/Ce8uzCW7aptUzrFbwbzoV4F9iHzczwisW/ETTsLLwTxOww38N5Cu9EUoDXmOHlfrw7gTPxbvB24t1kn+kOFGO/F7jAvBbB/1LLPGLhUrx6tpvwbvTvcM5V31DdiVf0bQ3eTlpzQajj9u+Kt6334hXZnEV0P04a29N4JTOequ5Qz/36NGCxf2zdi9egZIl/Uj4br3jgdrzM749oWML2MbxtshHvOPqoAdM6hHNuGV799b/iLftZwFmujq8PDViP/fHqv2/Au3mKpR/jHe8fmVc09794T27Aa8shE28ZPuLQ4zpWYrI9nHPr8ZI+Pzaza8MMFnzueR8vyVTbuShQpHUWjZDntVAinZv9/ek8//suvH3jxTDTibQvvYv31GaLmUWsChTGd/CO7S1457enie4mpoqg49g59xJeI44z/HX7BV7x9mhEXA7n3Jd+bKvNKwqc63f/wI/lE/8HY33n8xJ+8XrnVVkI9Are+t6Fdx0+zzlXXs9zZbVZeDeMcwO+R3NdBa+9rV+YWSFeQ4vPVvfwk0m/Bj7w19PREZY5Wg05Zm7Gq7Y2D++Y+S1emyRhz7O1HRsxOq6qqy/UVvoi7Lqmftf1UMdNNNfJp/Cu1c8FPRmNFF+0It0DxZxz7h28NpxewEtk9wMu8fvtwCvxeTfe/eEAvOoy1ePW9xwzDZjuHxMX+dPa78fQh9D7yCy8fesd4A/Oubf87vfiNWL+lr/eP8IrJV3DDrz5tr6le6r35Sl4y7cDr4Har/vnQvDO3Vl45+5HCXhTkl/q4VS89brJH6a6gV3wntLXVqpkNl6DuRudc/MCuifh3b9vwjumT8DbDzGz4/37wNqEOg5qi7k20wjaxkHuAm73+98c0P0xvER/tPfkh8ynMfelMBpyL3QPke8NQ/0Gm0bkdRtWPX+jVo87Fy9B9me8fXEWB0oHNtZvt7DjBkmmAce377t4Sd3VeNvwKbyHJOAlyt7EKx37CYfuV3XJJzRkffwC755zDd61/3ki3CNGcT2rcx6k+u1CEiPmPR26zzkX7imziEiLZWaP4jVWd3u8Y2ksZvZboKtz7spahpuD97DgN7VUiWl05lUPeMo591ADp7MK720R/w3oNg2vscorGhalNCf+j5b7nHMR2w5ohPn+Bq/NoCl+lTCJIzP7OTAw8Pg2r3reGrzGtetVHdu/n/4QaOcObmekWTCzt4AbnXNL4zT/b+CVcDwmRIK9qWP5OvAN59xxDZxOo+xL0vyY11bTErzGrYNrxSQ0M/sW3kP9WmsnxUpMGm2WQzRWtQ8REWlmzOwIMxvuF7Ueh1csOrhKUyi/wHsSu7W2ARuTX+x4FAeKyNd3Oufj1UN/NxZxSfNlZgvwqhH9OA6zfwjv6fomv/SVxIl51VmuAf4R4+m+jPfU+mfNMdkD4Jw7NV7JHt/z+G2H1LXESCyZWSu80kkN2gcaa1+S5scvHfYlXmmjd+IcTqMzs25mdqxf/WoQXum+aO4RY0YJnxhzzs11zr0e7zikZTCzojB/UTX8d7gyswfCLPcD8Y4NwMwuDxPf4trHlsNQNl5R4WK86iB/xKvCFJFz7g3n3JFNXUIikJlNxytifFPgD6u6HmNmNhOvoeZvu/o3sBo8zdfDxHBblOMvDjN+2CqEDYy3SecXT8650c65/s65f9Y+dMznvdo5d6JzLsc5F9PqyJHE+nprZj0jTDNcI6eNproqUai/MMNfh5dweN05V5cqwbVyzp3jnOvpnIt1+4IJwzlX4Jw70znX2TlXn2qIDWZeO2Tb8R5aPBXQPe77UkPvw8zstjDjN8pvvKaeXzw55/7gnOvqnLvUeW96S3RpeG/SKsR7IPYKXvXSJqMqXSIiIiIiIiIiCUYlfEREREREREREEowSPiIiIiIiIiIiCSYl3gGIiITSqVMn17t373iHISIiIlKrBQsW7HDO5cQ7DhGRQEr4iEiz1Lt3b+bPnx/vMERERERqZWbr4h2DiEgwVekSEREREREREUkwSviIiIiIiIiIiCQYJXxERERERERERBKM2vARERERETmMlJeXs2HDBkpKSuIdSouTkZFBXl4eqamp8Q5FRKRWSviIiIiIiBxGNmzYQHZ2Nr1798bM4h1Oi+GcY+fOnWzYsIE+ffrEOxwRkVqpSpeIiIiIyGGkpKSEjh07KtnTxMyMjh07qmSViBw2lPARERERETnMKNkTH1rvInI4UcJHRERERERERCTBKOEjIiIiIiKN6owzzmD37t3xDiOkRx99lE2bNsU7DBGRmFPCR0REREREGtVrr71Gu3bt4h1GSEr4iEiiUsJHREREROQwt3btWgYPHsx1113H0KFDOfXUU9m/fz8nnngi8+fPB2DHjh307t0b8JIc55xzDmeddRZ9+vThvvvu409/+hMjR47k6KOPpqCgIOy8Ik3zvPPO47TTTmPAgAHccsstNeP07t2bHTt2APDrX/+aQYMGccopp3DppZfyhz/8IeJ0Kysr+dGPfsTYsWMZPnw4f//73yOui9///vc1w95xxx0R18/zzz/P/PnzufzyyxkxYgT79+/n1ltvZciQIQwfPpybb765DltBRKR5UcJHRERERCQBrFixgm9/+9ssXryYdu3a8cILL0Qc/osvvuCpp55i7ty5/PSnP6VVq1Z8+umnTJgwgccee6xeMSxcuJBnnnmGRYsW8cwzz5Cfn39Q/wULFjBjxgw+/fRTXnzxRebNm1frNB9++GHatm3LvHnzmDdvHg8++CBr1qwJOexbb73FihUrmDt3LgsXLmTBggXMnj0bCL1+LrjgAsaMGcOTTz7JwoUL2b9/Py+99BKLFy/m888/5/bbb6/XehARaQ5S4h2AiIiIiIg0XJ8+fRgxYgQAo0ePZu3atRGHP+mkk8jOziY7O5u2bdty1llnAXDkkUfy+eef1yuGk08+mbZt2wIwZMgQ1q1bR48ePWr6v/fee5x77rm0atUKgClTptQ6zbfeeovPP/+c559/HoA9e/awYsUK+vTpE3LYt956i5EjRwJQVFTEihUr6NmzZ1Trp02bNmRkZHDttdfy1a9+lTPPPLNOyy8i0pwo4SMiIiIikgDS09NrPicnJ7N//35SUlKoqqoCoKSkJOzwSUlJNd+TkpKoqKgIO59op5mcnBxyOuFebR5uus45/vrXvzJ58uSwMQUO+5Of/IRvfvObB3Vfu3ZtyPUTKoa5c+fyzjvvMGPGDO677z7efffdWucrItIcqUqXiIiIiEiC6t27NwsWLACoKSETz2lOnDiRl156if3791NYWMi//vWvWqc7efJk/va3v1FeXg7A8uXLKS4uDjn9yZMn88gjj1BUVATAxo0b2bZtW8SYsrOzKSwsBLwSQXv27OGMM87gnnvuYeHChXVaPhGR5kQlfEREREREEtTNN9/MRRddxOOPP85XvvKVuE9z1KhRXHzxxYwYMYJevXpx/PHH1zrda6+9lrVr1zJq1Cicc+Tk5PDyyy+HnP6pp57K0qVLmTBhAgBZWVk88cQTJCcnh41p6tSpXH/99WRmZvL6669z9tlnU1JSgnOOP//5z3VaPhGR5sScc/GOQUTkEGPGjHHVb+oQERGRA5YuXcrgwYPjHUZMTJs2jaysrMPqbVih1r+ZLXDOjYlTSCIiIalKl4iIiIiIiIhIglGVLhEREREROcS3v/1tPvjgg4O63XjjjVx11VUxm8e0adPqNd6iRYv42te+dlC39PR0Pv744xhEJSKSGJTwEZEGM7NHgDOBbc65YSH6G3AvcAawD5jqnPukaaMUERGRurj//vvjHUJYRx55pBpUFhGphap0iUgsPAqcFqH/6cAA/+8bwN+aICYREWlEFZVVLMzfxZY9h77aWkREROJPCR8RaTDn3GygIMIgZwOPOc9HQDsz69Y00YmISGOYPmct59w/hysfmce2vSXxDkdERESCKOEjIk2hO5Af8H2D3+0gZvYNM5tvZvO3b9/eZMGJiEjdrdhWBMCyrYXsKC6LczQiIiISTG34iEhTsBDd3CEdnPsH8A/wXsve2EGJiEj9XT6+FynJxpBubTiiS3a8w5EE0Lt3b7Kzs0lOTiYlJYX58+dTUFDAxRdfzNq1a+nduzfPPvss7du3j3eoIiKHBZXwEZGmsAHoEfA9D9gUp1hERCQGjsxry6/OOZLLxvciKSlUXl8SXUFBAV988QUFBZFqddfN//73PxYuXMj8+fMBuPvuuzn55JNZsWIFJ598MnfffXfM5iUikuhUwkdEmsKrwHfMbAYwHtjjnNsc55hERESkHkpKSrjzzjuZNWsWaWlplJWVccIJJ3DHHXeQkZER03m98sorzJw5E4Arr7ySE088kd/+9rcxnYeISKJSCR8RaTAzexr4EBhkZhvM7Bozu97MrvcHeQ1YDawEHgRuiFOoIiIi0kB33nkns2fPpqysjKKiIsrKypg9ezZ33nlng6ZrZpx66qmMHj2af/zjHwBs3bqVbt289zx069aNbdu2NTh+EZGWQiV8RKTBnHOX1tLfAd9uonBERESkkRQUFDBr1izKyg5uqLu0tJRZs2ZRUFBAhw4d6jXtDz74gNzcXLZt28akSZM44ogjYhGyiEiLpRI+IiIiIiISlU2bNpGWlhayX1paGps21b+JvtzcXAA6d+7Mueeey9y5c+nSpQubN3u1wDdv3kznzp3rPX0RkZZGCR8REREREYlKbm7uIaV7qpWVldUkbeqquLiYwsLCms9vvfUWw4YNY8qUKUyfPh2A6dOnc/bZZ9cvcBGRFkhVukREREREJCodOnTghBNOYPbs2ZSWltZ0T09PZ+LEifWuzrV161bOPfdcACoqKrjssss47bTTGDt2LBdddBEPP/wwPXv25LnnnovJcoiItARK+IiIiIiISNTuuOOOQ97SNXHiRO644456T7Nv37589tlnh3Tv2LEj77zzTkPCFRFpsZTwERERERGRqGVkZHDXXXdRUFDApk2byM3NrXfJHhERaTxK+IiIiIiISJ116NBBiR4RkWZMjTaLiIiIiIiIiCQYJXxERERERERERBKMEj4iIiIiIiIiIglGCR8RERERERERkQSjhI+IiIiIiNSJc45ly5bx/vvvs2zZMpxzDZ7m1VdfTefOnRk2bFhNt4KCAiZNmsSAAQOYNGkSu3btqul311130b9/fwYNGsSbb77Z4PmLiCQaJXxERERERCRq8+bN49xzz+Xaa6/l9ttv59prr+Xcc89l3rx5DZru1KlTeeONNw7qdvfdd3PyySezYsUKTj75ZO6++24AlixZwowZM1i8eDFvvPEGN9xwA5WVlQ2av4hIolHCR0REREREojJv3jxuuukmNmzYwP79+ykqKmL//v1s2LCBm266qUFJn4kTJx7ymvdXXnmFK6+8EoArr7ySl19+uab7JZdcQnp6On369KF///7MnTu33vMWEUlESviIiIiIiEitnHP8+te/prS0NGT/0tJSfv3rX8ekele1rVu30q1bNwC6devGtm3bANi4cSM9evSoGS4vL4+NGzfGbL4iIolACR8REREREanV8uXL2blzZ8Rhdu7cyYoVKxo9llBJJTNr9PmKiBxOlPAREREREZFabd++neTk5IjDJCcns3379pjNs0uXLmzevBmAzZs307lzZ8Ar0ZOfn18z3IYNG8jNzY3ZfEVEEoESPiIiIiIiUqucnJxaG0aurKwkJycnZvOcMmUK06dPB2D69OmcffbZNd1nzJhBaWkpa9asYcWKFYwbNy5m8xURSQQp8Q5ARERERESav4EDB9KxY0c2bNgQdphOnToxYMCAek3/0ksvZebMmezYsYO8vDzuvPNObr31Vi666CIefvhhevbsyXPPPQfA0KFDueiiixgyZAgpKSncf//9tZY+EhFpaSyWjaqJiMTKmDFj3Pz58+MdhoiISLOzdOlSBg8eHJd5V7+lK1TDzenp6dxzzz2MHTs2DpE1nVDr38wWOOfGxCkkEZGQVKVLRERERESiMnbsWO655x7y8vLIzMwkKyuLzMxM8vLyWkSyR0TkcKIqXSIiIiIiErWxY8fy0ksvsXz5cnbs2EFOTg4DBgzQW7JERJoZJXxERERERKROzIxBgwYxaNCgeIciIiJhqEqXiIiIiIiIiEiCUcJHRERERERERCTBqEqXiIiIiIjU2e7duyksLCQ7O5t27drFOxwREQmiEj4iIiIiIhK1OXPmcNVVV3H66adz2WWXcfrpp3PVVVcxZ86cBk336quvpnPnzgwbNqym27Rp0+jevTsjRoxgxIgRvPbaazX97rrrLvr378+gQYN48803GzRvEZFEpISPiIiIiIhE5cEHH+SWW25h0aJFlJeXs3//fsrLy1m0aBG33HILDz74YL2nPXXqVN54441Dun//+99n4cKFLFy4kDPOOAOAJUuWMGPGDBYvXswbb7zBDTfcQGVlZb3nLSKSiJTwERERERGRWs2ZM4fp06dTUlISsn9JSQnTp0+vd0mfiRMn0qFDh6iGfeWVV7jkkktIT0+nT58+9O/fn7lz59ZrviIiiUoJHxERERERqdWDDz4YNtlTraSkhIceeiim873vvvsYPnw4V199Nbt27QJg48aN9OjRo2aYvLw8Nm7cGNP5iogc7pTwERERERGRiHbv3s2XX34Z1bBLly5l9+7dMZnvt771LVatWsXChQvp1q0bP/zhDwFwzh0yrJnFZJ4iIolCCR8REREREYmosLCQlJToXvCbkpJCYWFhTObbpUsXkpOTSUpK4rrrrquptpWXl0d+fn7NcBs2bCA3Nzcm8xQRSRRK+IiIiIiISETZ2dlUVFRENWxFRQXZ2dkxme/mzZtrPr/00ks1b/CaMmUKM2bMoLS0lDVr1rBixQrGjRsXk3mKiCSK6NL0IiIiIiLSYrVr144jjjiCRYsW1Trs4MGDadeuXZ3ncemllzJz5kx27NhBXl4ed955JzNnzmThwoWYGb179+bvf/87AEOHDuWiiy5iyJAhpKSkcP/995OcnFzneYqIJDILVf9VRCTexowZ4+bPnx/vMERERJqdpUuXMnjw4Caf75w5c7jlllsiNtyckZHB7373O4455pgmjKxphVr/ZrbAOTcmTiGJiISkKl0iIiIiIlKrY445hiuvvJKMjIyQ/TMyMpg6dWpCJ3tERA4nqtIlIiIiIiJRue666xg6dCgPPfQQS5cuJSUlhYqKCgYPHsy1116rZI+ISDOihI+IiIiIiETtmGOO4ZhjjmH37t0UFhaSnZ1drzZ7RESkcSnhIyIiIiIiddauXTslekREmjG14SMiIiIiIiIikmBUwkdERERERKK2detWnn/+ed58802Ki4tp3bo1kydP5oILLqBLly7xDk9ERHwq4SMiLdL+sgq2F5ZQUFxKRWVVvMMRERFp9pxzPPTQQ5x77rk8+eSTbNq0iT179rBp0yaefPJJzj33XB566CGcc3Wedn5+PieddBKDBw9m6NCh3HvvvQAUFBQwadIkBgwYwKRJk9i1a1fNOHfddRf9+/dn0KBBvPnmmzFbThGRRKESPiLSonyxcQ/vLN3KM/Py2bK3hJSkJMb0bs+5I7tzwqAcOmeHftWsiIhIS/fwww/z6KOPUlZWdki/6m6PPvooANdee22dpp2SksIf//hHRo0aRWFhIaNHj2bSpEk8+uijnHzyydx6663cfffd3H333fz2t79lyZIlzJgxg8WLF7Np0yZOOeUUli9fTnJycoOXU0QkUaiEj4i0CCXllfzf/1Yw5b73+fN/V7BpTwlVDsoqq5izaic/ev5zzrnvAz5evTPeoYqIiDQ7W7du5ZFHHqGkpCTicCUlJTzyyCNs27atTtPv1q0bo0aNAiA7O5vBgwezceNGXnnlFa688koArrzySl5++WUAXnnlFS655BLS09Pp06cP/fv3Z+7cuXVfMBGRBKaEj4gkvKoqx4OzV/O7N5dTFaGU+aY9JVw7fR7z1xY0XXAiIiKHgeeff75Rhw+0du1aPv30U8aPH8/WrVvp1q0b4CWFqhNJGzdupEePHjXj5OXlsXHjxnrPU0QkESnhIyIJb/66Av749vKohi0sreS3b3xJaUVlI0clIiJy+HjzzTdDVuUKpaysjDfeeKNe8ykqKuL888/nnnvuoU2bNmGHC9VOkJnVa54iIolKCR8RSXj/XVK3YuXz1u5i3hqV8hEREalWXFxcp+H37dtX53mUl5dz/vnnc/nll3PeeecB0KVLFzZv3gzA5s2b6dy5M+CV6MnPz68Zd8OGDeTm5tZ5niIiiUwJHxFJaNsLS3ni43V1Hm/28u2NEI2IiMjhqXXr1nUavlWrVnUa3jnHNddcw+DBg/nBD35Q033KlClMnz4dgOnTp3P22WfXdJ8xYwalpaWsWbOGFStWMG7cuDrNU0Qk0SnhIyIJraC4lH1lda+etb0oumLrIiIiLcHkyZNJS0uLati0tDROO+20Ok3/gw8+4PHHH+fdd99lxIgRjBgxgtdee41bb72Vt99+mwEDBvD2229z6623AjB06FAuuugihgwZwmmnncb999+vN3SJiATRa9lFJKHVtz6/mgEQERE54IILLuDJJ5+s0/B1cdxxx4VslwfgnXfeCdn9pz/9KT/96U/rNB8RkZZEJXxEJKHlZKeTkxXdE8lAee0yGyEaERGRw1OXLl24+uqrycjIiDhcRkYGV199dU1bOyIiEj9K+IhIQmvfKo3Lj+5V5/FOHKQbVRERkUDXXHMNU6dOJS0t7ZDqXdXdpk6dyjXXXBOnCEVEJJCqdIlIwps0uAv3vbuSiqrQRcWDTR7ahRE92jVuUCIiIocZM+Paa69lypQpPP/887zxxhvs27ePVq1acdppp3HBBReoZI+ISDOihI+IJLyh3dvym3OP5JYXPq912J4dMvnBqYNISlIjPiIiIqF07tyZG264gRtuuCHeoYiISARK+IhIi3DhmDzSUoxpry5m9/6KkMNM6NuBO84ayqAu2U0cnYiIyOFlyZIlfPzxxxQVFZGVlcX48eMZMmRIvMMSEZEASviISItgZpwzMo9j+ndi1rLtvPvlNtbuLCYzNZkju7fllMFdGNunAxmpeqWriIhIOLNnz+Yvf/kLW7Zsoby8nMrKSpKTk3n44Yfp2rUr3/ve95g4cWK8wxQREdRos4i0MJ2zM7hwTA/+dsVoXr9xIi/ecCx3nj2M4wfmKNkjIiISwRNPPMFtt93G2rVrKSkpobKyEoDKykpKSkpYu3Ytt912G0888USdp52fn89JJ53E4MGDGTp0KPfeey8A06ZNo3v37owYMYIRI0bw2muv1Yxz11130b9/fwYNGsSbb74Zm4UUEUkgKuEjIg1mZqcB9wLJwEPOubuD+rcFngB64p13/uCc+2eTByoiIiL1Mnv2bB544AFKSkoiDldSUsIDDzxAz54961TSJyUlhT/+8Y+MGjWKwsJCRo8ezaRJkwD4/ve/z80333zQ8EuWLGHGjBksXryYTZs2ccopp7B8+XKSk/XwRkSkmkr4iEiDmFkycD9wOjAEuNTMgivxfxtY4pw7CjgR+KOZpSEiIiKHhb/85S+1JnuqlZSU8Ne//rVO0+/WrRujRo0CIDs7m8GDB7Nx48aww7/yyitccsklpKen06dPH/r378/cuXPrNE8RkUSnhI+INNQ4YKVzbrVzrgyYAZwdNIwDss3MgCygAAjdcrKIiIg0K4sXL2bLli11Gmfz5s0sWbKkXvNbu3Ytn376KePHjwfgvvvuY/jw4Vx99dXs2rULgI0bN9KjR4+acfLy8iImiEREWiIlfESkoboD+QHfN/jdAt0HDAY2AYuAG51zVU0TnoiIiDTE3LlzKS8vr9M45eXl9SpxU1RUxPnnn88999xDmzZt+Na3vsWqVatYuHAh3bp144c//CEAzrlDxvWeK4mISDUlfESkoULdXQXfhU0GFgK5wAjgPjNrc8iEzL5hZvPNbP727dtjHaeIiIjUQ1FRUU0DzdGqrKyksLCwTuOUl5dz/vnnc/nll3PeeecB0KVLF5KTk0lKSuK6666rSSLl5eWRn3/gedOGDRvIzc2t0/xERBKdEj4i0lAbgB4B3/PwSvIEugp40XlWAmuAI4In5Jz7h3NujHNuTE5OTqMFLCIiItHLysqqc2PIycnJZGdnRz28c45rrrmGwYMH84Mf/KCm++bNm2s+v/TSSwwbNgyAKVOmMGPGDEpLS1mzZg0rVqxg3LhxdYpRRCTR6S1dItJQ84ABZtYH2AhcAlwWNMx64GTgPTPrAgwCVjdplCIiIlIv48eP5+GHH65TKZ/U1NSaNnii8cEHH/D4449z5JFHMmLECAB+85vf8PTTT7Nw4ULMjN69e/P3v/8dgKFDh3LRRRcxZMgQUlJSuP/++/WGLhGRIEr4iEiDOOcqzOw7wJt4r2V/xDm32Myu9/s/APwSeNTMFuFVAfuxc25H3IIWERGRqA0ZMoSuXbuydu3aqMfp1q0bgwcPjnr44447LmS7PGeccUbYcX7605/y05/+NOp5iIi0NEr4iEiDOedeA14L6vZAwOdNwKlNHZeIiIjExve+9z1uu+22qF7Nnp6ezne/+90miEpERCJRGz4iIiIiIhLRxIkTuf7668nIyIg4XHp6Ot/61reYOHFiE0UmIiLhqISPiIiIiMhhxjnX5K8hv+KKK+jZsyd/+ctf2LJlC+Xl5VRWVpKcnExqairdunXju9/9bkIne0JVOxMRaa6U8BEREREROYxkZGSwc+dOOnbs2ORJn4kTJzJx4kSWLFnC3LlzKSwsJDs7m/Hjx9epzZ7DkXOOnTt31lrKSUSkuVDCR0RERETkMJKXl8eGDRvYvn173GIws0PewrV06dI4RdN0MjIyyMvLi3cYIiJRUcJHREREROQwkpqaSp8+feIdhoiINHNqtFlEREREREREJMEo4SMiIiIiIiIikmCU8BERERERERERSTBK+IiIiIiIiIiIJBglfEREREREREREEowSPiIiIiIiIiIiCUYJHxERERERERGRBKOEj4iIiIiIiIhIglHCR0REREREREQkwSjhIyIiIiIiIiKSYJTwERERERERERFJMEr4iIiIiIiIiIgkGCV8REREREREREQSjBI+IiIiIiIiIiIJRgkfEREREREREZEEo4SPiIiIiIiIiEiCUcJHRERERERERCTBKOEjIiIiIiIiIpJglPAREREREREREUkwSviIiIiIiIiIiCQYJXxERERERERERBKMEj4iIiIiIiIiIglGCR8RERERERERkQSjhI+IiIiIiIiISIJRwkdEREREREREJMEo4SMiIiIiIiIikmCU8BERERERERERSTBK+IiIiIiIiIiIJBglfEREREREREREEowSPiIiIiIiIiIiCUYJHxERERERERGRBKOEj4iIiIiIiIhIglHCR0REREREREQkwSjhIyIiIiIiIiKSYJTwERERERERERFJMEr4iIiIiIiIiIgkGCV8REREREREREQSjBI+IiIiIiIiIiIJRgkfEREJq7S8koLiUsorq+IdioiIiIiI1EFKvAMQEZHmp3B/Oc9/soEZc/NZu7OYET3acdGYPM46qjtpKXpWICIiIiLS3CnhIyIiBykpr+TOfy3h+U821HT7eE0BH68pYMveUr59Uv84RiciIiIiItHQY1oRETnIx2sKDkr2BLrnv8tZua2oiSMSEREREZG6UsJHREQOMn9tQdh+5ZWOBevC9xcRERERkeZBCR8RETmIcy5i/yq13ywiIiIi0uwp4SMiIgcZ0bN92H7JScaInu2aLhgREREREakXJXxEROQgx/TtyGlDu4bs982JfRncrU0TRyQiIiIiInWlt3SJiMhBWqWn8OtzhzEsrw2PzVnHtsJSBnTO4msTenHh6B7xDk9ERERERKKghI+IiByiY1Y63zlpAF8/ujd795fTPiuN1mm6ZIiIiIiIHC509y4iImG1yUylTWZqvMMQEREREZE6Uhs+IiIiIiIiIiIJRgkfEREREREREZEEo4SPiIiIiIiIiEiCUcJHRBrMzE4zs2VmttLMbg0zzIlmttDMFpvZrKaOUUREREREpCVRo80i0iBmlgzcD0wCNgDzzOxV59ySgGHaAf8HnOacW29mneMSrIiIiIiISAuhEj4i0lDjgJXOudXOuTJgBnB20DCXAS8659YDOOe2NXGMIiIiIiIiLYoSPiLSUN2B/IDvG/xugQYC7c1sppktMLOvh5qQmX3DzOab2fzt27c3UrgiIiIiIiKJTwkfEWkoC9HNBX1PAUYDXwUmAz8zs4GHjOTcP5xzY5xzY3JycmIfqYiIiIiISAuhNnxEpKE2AD0CvucBm0IMs8M5VwwUm9ls4ChgedOEKCIiIiIi0rKohI+INNQ8YICZ9TGzNOAS4NWgYV4BjjezFDNrBYwHljZxnCIiIiIiIi2GSviISIM45yrM7DvAm0Ay8IhzbrGZXe/3f8A5t9TM3gA+B6qAh5xzX8QvahERERERkcRmzgU3tSEiEn9jxoxx8+fPj3cYIiIiIrUyswXOuTHxjkNEJJCqdImIiIiIiIiIJBglfEREREREREREEowSPiIiIiIiIiIiCUYJHxERERERERGRBKOEj4iIiIiIiIhIglHCR0REREREREQkwSjhIyIiIiIiIiKSYJTwERERERERERFJMEr4iIiIiIiIiIgkGCV8REREREREREQSjBI+IiIiIiIiIiIJRgkfEREREREREZEEo4SPiIiIiIiIiEiCUcJHRERERERERCTBKOEjIiIiIiIiIpJglPAREREREREREUkwSviIiIiIiIiIiCQYJXxERERERERERBKMEj4iIiIiIiIiIglGCR8RERERERERkQSjhI+IiIiIiIiISIJRwkdEREREREREJMEo4SMiIiIiIiIikmCU8BERERERERERSTBK+IiIiIiIiIiIJBglfEREREREREREEowSPiIiIiIiIiIiCUYJHxERERERERGRBKOEj4iIiIiIiIhIglHCR0REREREREQkwSjhIyIiIiIiIiKSYJTwERERERERERFJMEr4iIiIiIiIiIgkGCV8REREREREREQSjBI+IiIiIiIiIiIJRgkfEREREREREZEEo4SPiIiIiIiIiEiCUcJHRERERERERCTBKOEj0sKZWXq8YxCJp+KyCgqKS+MdhoiIiIhITCnhI9KCmNkjQd+zgNfiFI5IXJWUV/LPD1Zz2p/fY8Jd7/KTFxexaltRvMMSEREREYkJJXxEWpaNZvY3ADNrD7wFPBHfkETi4/kF+dz5r6Xk79pHaUUVT89dz20vLaKkvDLeoYmIiIiINJgSPiItiHPuZ8BeM3sAL9nzR+fcP+MclkiTq6pyPDMv/5DuH68pYGH+7qYPSEREREQkxlLiHYCIND4zOy/g61zgZ/5/Z2bnOedejE9kIvFR5Rx7SypC9iurqGriaEREREREYk8JH5GW4ayg758CqX53ByjhIy1KSnIS547szj3/XXFQ9x4dWjE8r22cohIRERERiR0lfERaAOfcVfGOQaS5uXx8LzbvKeHZ+fk4B4O6ZPGLs4fRrlVavEMTEREREWkwJXxEWhAzywGuA3oTcPw7566OV0wi8ZKTnc7d5x3J1cf2pqikgkHdsslKT413WCIiIiIiMaGEj0jL8grwHvBfQK8ikhbPzBjUtU28wxARERERiTklfERallbOuR/HOwgRERERERFpXHotu0jL8m8zOyPeQYiIiIiIiEjjUsJHpGW5ES/ps9/M9ppZoZntjXdQIiIiIiIiEluq0iXSgjjnsuMdg4iIiIiIiDQ+JXxEWhgzaw8MADKquznnZscvIhEREREREYk1JXxEWhAzuxavWlcesBA4GvgQ+EocwxIREREREZEYUxs+Ii3LjcBYYJ1z7iRgJLA9viGJiIiIiIhIrCnhI9KylDjnSgDMLN059yUwKM4xiYiIiIiISIypSpdIy7LBzNoBLwNvm9kuYFNcIxIREREREZGYUwkfkRbEOXeuc263c24a8DPgYeCchk7XzE4zs2VmttLMbo0w3FgzqzSzCxo6TxEREREREQlPJXxEWggzSwI+d84NA3DOzYrRdJOB+4FJwAZgnpm96pxbEmK43wJvxmK+Ldm6ncUUllTQu1MrstJT4x2OiIiIiIg0Q0r4iLQQzrkqM/vMzHo659bHcNLjgJXOudUAZjYDOBtYEjTcd4EX8BqNlnrYsmc///e/lTw1N5+KKseAzll8f9JAzjiyW7xDExERERGRZkYJH5GWpRuw2MzmAsXVHZ1zUxowze5AfsD3DcD4wAHMrDtwLt7r35XwqQfnHL9/cxkvfLKxptuKbUV89+lP6dA6jaP7doxjdCIiIiIi0two4SPSstzZCNO0EN1c0Pd7gB875yrNQg3uT8jsG8A3AHr27Bmr+BLCks17efHTjYd0r6xy/HfJViV8RERERETkIEr4iLQgtbXbY2YfOucm1HGyG4AeAd/zOPTNX2OAGX6ypxNwhplVOOdeDorvH8A/AMaMGROcNGrRdhWX4cKskR3FpU0bjIiIiIiINHtK+IhIoIx6jDMPGGBmfYCNwCXAZYEDOOf6VH82s0eBfwcneySyPp1a0zo9meLSykP6DeycHYeIRERERESkOdNr2UUkUJ1L1TjnKoDv4L19aynwrHNusZldb2bXxzrAlqp7+1b84JSBh3Tv2SGT04ep0WZpmfJ37WP6nLW8++XWeIcijais4tBEt4iIiNROJXxEpMGcc68BrwV1eyDMsFObIqZE9PVjetM5O53/LNrCpj37mTigE2eP6E6fnNbxDk1aqFXbi3jziy20SktmyojudGid1qTz/+W/lvDWkq2YwVPXjmdCv05NOn9pfG98sZk7Xl3M5KFd+cnpg8lMS453SCIiIocNJXxEJFD4FpUl7lKTkzhrRHfOGtE93qGIsHtfGd956hOWbi4EYPWOYn5x9rCDhtleWMJjH65jX1kFF4/tycAusat+WFXlWFewDwDnoKC4LGbTlubjtUVb2Lq3lMc+XMcVR/dkYJc28Q5JRETksKGEj4gE+lq8AxCRw8O2wtKaZA/ArGXbcM4R+Ca+Z+bn89d3VwKws6iMey4ZGbP5JyUZt391ME98uI4BXbOZOCgnZtOW5uPUoV2YvWI7k4d2pUf7VvEOR0RE5LCihI9IC2Jm5wG/BTrjleYxwDnn2uB9+CKO4YnExK7iMp6au55XF26iY1YaF4/pwVlH5ZKUpAJssdStbQZH9+nAR2sKAPjq8NyDkj0AFZUHmgUrq6iKeQzHD8jh+AFK9CSyM4fncuKgHFqlpugYFhERqSMlfERalt8BZznnlsY7EJHG8reZK/nHe2u8L1thzqqdpCQbXx2eG9/AEkx2Rip/vngE7y7bRuu0FE4d0uWQYS4c3YPC/eUUllbw9aN7xSFKSQRZ6anxDkFEROSwpISPSMuyVckeSWSbd+/n0TnrDun+1uKtSvg0gm7tMrl8fPhETvf2mfzsrKFNGJGIiIiIVFPCR6RlmW9mzwAvA6XVHZ1zL8YtIpEYqqxyVDp3SPeyythXJxIRERERac6S4h2AiDSpNsA+4FTgLP/vzLhGJBJDeR1acf6oQ99idtIRneMQjYiIiIhI/KiEj0gL4py7Kt4xiDS2m04eSKu0ZJ6em0+H1qlcd3w/phyl6lwiIiIi0rKYC1H0XUQSk5llANcAQ4GM6u7OuavjFlQYY8aMcfPnz493GNJM5BfsY+W2IjplpTM0t01Ub+spKC4lLSVJDb6KiEijM7MFzrkx8Y5DRCSQSviItCyPA18Ck4FfAJcDasRZmq3KKsejH6zh928to6Tca4fn/FF53Hr6IHKyMyKO26F1elOEKCIiIiLSLKkNH5GWpb9z7mdAsXNuOvBV4Mg4xyQS1rtLt/LL/yytSfYAvPDJBh778NA3cYmIiIiIyAFK+Ii0LOX+/91mNgxoC/SOXzgikb23ckfI7o99uJa9+8tD9hMREREREVXpEmlp/mFm7YGfAa8CWcDP4xuSSHjllaHbmSspr6LS6VXrIiIiIiLhKOEj0oI45x7yP84C+sYzFmlZyiqqePfLbXy2YRedszOYPKQrue0zax1vTK92PD13/SHdLxydR/tWaqOnOamscmwvLKF1WgrZmWooW0RERCTelPARaUHMrAvwGyDXOXe6mQ0BJjjnHo5zaJLg/vnBGu56/cua7y8s2MDDU8fSpU3khpcnD+3K/HW7eHpufk23YbltmHps78YKVephf1kFv3tjGY9+uJa8dpn86aIRjO3TId5hiYiIiLRoSviItCyPAv8Efup/Xw48AyjhI41my54S7vnvioO6fbFpL7OXb+fCMT0ijpuVkcqdU4Yx5ajurNhaSE52OhP6daRdq7TGDFnqaPby7fxzzloA8nft54FZq5TwEREREYkzJXxEWpZOzrlnzewnAM65CjOrjHdQktgKS8rZX37obrYnykaX01KSmNCvIxP6dYx1aFJPFZVVJJmRlGTAoW0tFZdVxCMsEREREQmgt3SJtCzFZtYRcABmdjSwJ74hSaLr06k1Xzki56BuyUnGmF7t4xSRNMQ7S7cy6U+zuPCBOSzM3wXAMf06cfLgzgBkpiVx3fFqIkxEREQk3lTCR6Rl+QHe27n6mdkHQA5wQXxDkkSXkpzET04fTFZ6Kv/+fBP9O2dx48kDGNFTCZ/DTXFpObe+8Dnbi8pYs3Mfj7y/lr9c2p4OWWncc8kIVm4ton2rNHp3ah3vUEVERERaPCV8RFoQ59wnZnYCMAgwYJlzLrp6NSINMKBLNvdeMoKfnTmYrPQUMtN0+TkcmRlpKQcKB6cmW83n7PRURiqJJyIiItJs6I5bpAUxs2TgDKA33vF/qpnhnPtTXAOTFsHMyMmO/FYuad5apaVw9/nDue/dFbTLTOOa41R1S0RERKS5UsJHpGX5F1ACLAKq4hyLiByGjh+Qw/EDcmofsIUoLq1g+pw15O8q4cLReYxS21QiIiLSTCjhI9Ky5Dnnhsc7CBGRRPHul9v43ZvLAVi9vZBnvnlMnCMSERER8egtXSIty+tmdmq8gxARSRSt0pJrPrdvlR7HSEREREQOphI+Ii3LR8BLZpYElOM13Oycc23iG5aIyOHpxEGduffiEWzYvY8zjuwW73BEREREaijhI9Ky/BGYACxyzrl4ByMijWvPvjLWFeyjW9sMNZjdSJKTjLNHdo93GCIiIiKHUMJHpGVZAXyhZI9I4tuyZz/fm7GQuWsK6NupNX+7YjSDumbHOywRERERaSJK+Ii0LJuBmWb2OlBa3VGvZRdJPHNW7WTumgIAVu8o5p0vtyrhIyIiItKCKOEj0rKs8f/S/D8RSVDtWx18iHdspUNeREREpCVRwkekBXHO3Rmpv5n91Tn33aaKRyQR7Cut4NP83VRVOUb2akdWemq8QwJg4sAcfnXOMD5avZPB3bI586jceIckIiIiIk1ICR8RCXRsvAMQOZzsKCrl5uc+Y+ay7QAc3bcD91w8gq5tM+McmdeY8BVH9+KKo3vFOxQRERERiYOkeAcgIiJyuHp7ydaaZA/AR6sLeOOLLXGMSERERETEo4SPiIhIPW0rLImqm0hjeXfpVh6YuYrV24viHYqIiIg0M6rSJSKBLN4BiBxOxvbugBk4d3A3kaaweOMernt8AZVVjoX5u3nga6PjHZKIiIg0I0r4iEige+MdgMjh5Jh+nbjv0pE8My+fiqoqLhrTgxMHdY53WNJCVDmH87ONFVVVcY5GREREmhtzgY8lRSShmdnbwIXOud3+9/bADOfc5LgGFsKYMWPc/Pnz4x2GiEiz9uYXW1i2dS+nDevGwC7Z8Q5HpMUyswXOuTHxjkNEJJBK+Ii0LJ2qkz0AzrldZqbiCCIih6nJw7oyeVjXeIchIiIizZAabRZpWarMrGf1FzPrBaiYn4iIiIiISIJRCR+RluWnwPtmNsv/PhH4RhzjERERERERkUaghI9IC+Kce8PMRgFH472R6/vOuR1xDktERERERERiTFW6RFoAMzvC/z8K6AlsAjYCPf1uIiIiIiIikkBUwkekZfgBXtWtP4bo54CvNG04IiIiIiIi0piU8BFpAZxz3/D/nxTvWESkedqyZz/Pzd9ASUUlZ4/o3uiv+HbO8dInG/l8425OHNSZEwfphYGxVFhSzmuLNtM2M5XJQ7tiZvEOSURERJqYEj4iLYyZHQP0JuD4d849FreARCQqhfvLaZWeQnJS7H64f56/m7UF+xjQOYsnP17HEx+tB2DOqp08fe3RZKQlx2xeweauKeAHz30GwDPz83nrphPo0aFVo82vpXlhwQam/WsJAE9eO45j++fEOSIRERFpakr4iLQgZvY40A9YCFT6nR2ghI9IGGu2F/POl1vZX17JMX07Mrp3hyad//6yCv709nJmzM1neF5b7jx7KP07N7z0zf++3Mo3H/+Essoqcttl0Dk7o6bfFxv3UFRW0agJn5KKyprPZRWOssqqRptXS1SdGDSDpCQ12SgiItISKeEj0rKMAYY451y8AxE5HKzcVsiVj8xl4+4SAO5NMv52xSgmDenaZDG8++U2HnxvDQAfrNrJEx+vZ9pZQw8Zbm9JOc/Oy2fr3hJOHdKFsX06Rpzum4u31iRZNu0u4azhuXy2YTfOwTdP6EfH1mn1jrmotJzte0vp3CaD1umhbzUm9O3EbWcMZsG6Ak4b1o1+OVlhp7d3fzlPz13PvrJKLh3Xg65tM2uN4aVPN/Dul9s4omsbph7TO2wc0Vq3s5jNe0oY3r0trRo4raZw/qg82mSm0iYjlQl9I+8LIiIikpia/x2LiMTSF0BXYHO8AxE5HLy1eGtNsgegosrxxEfrmzThs6+s8uDvpZUhh3v64/Xc9fqXALz4yUZe+c6x5LUPX0UqK+PgW4A2mSm8+u3jKK2o5Kge7erd5svq7UX84NnPWJi/m/F9OvDHi44KGUdaShLfmNgX6FvrNF/7YnPNsiUZ3HjKwIjDf7p+Fz949jOcg399tpnO2elcOKZHvZYHYPnWQr720MdsLSzl6xN68Yuzh9V7Wk2lVXoKZ4/oHu8wREREJI5UxlekZekELDGzN83s1eq/eAcl0lztLak4pNum3fubNIaJA3M4uq9Xjaxdq1TOG5UbcrgNuw7EtbO4jIKisojTvWxcT47t35HkJOOUIZ05d2QeR+a1ZUzvDqQm1//24NXPNrEwfzcAH68p4LXPG55fzgooUROcqAqluLSCwHKMhSXlDZr/iq2FbC0sBeD1L7ZQWh466dYQu4rL+Hj1TrbuLal9YBEREZEoqISPSMsyLd4BiBxOxvfpwAOzVh3U7dxRTVtqokubDB64YjRrdhSRk5VOXofWIYebNKQLz3+Sz/6yKs4+Kpf+ncNXkQLom5PFI1PHsnd/Be1apR6U5CmvrGLG3PUszN/NsO5tuHRcLzJSo2vP55ByQTFoY3ry0K783+Wj2F9WweShtZeuGt2rA1dO6MUTH6/n6D4dODWKcSJPrz1H9+3A3DUFfPvEfqRHuS6ita+0gh8+t5B3v9zO8O5teXjqGHIC2lQSERERqQ9TUx4iLYuZdQHG+l/nOue2xTOecMaMGePmz58f7zCkhXPO8dKnG3nk/TXsKCrl0vG9uOqYXrTJrH/7No1p9bYidhSXMaRbNlkZqfWezn8+38y3n/qk5vufLjqK80blRTXu2p1F/PDZz1iwbjfH9uvI7y84itz2tbe5E8rOolKem59PSUUV543sTs+OoZNdpRWVbNtbSk52ek1iqrLKUVBcRnZGStTJqkj2l1Wwq7iMKgc5bdJJT4ld0mfdzmJO+P3Mmu8v3TCBkT2btnFwEWkYM1vgnBsT7zhERAKphI9IC2JmFwG/B2biPXf/q5n9yDn3fFwDE2mmzIzzRuVx1lG5VFa6Rn1rVSz07ZwVRYs4tQuuVrR1b2nU4/bumMVjV4+noLiMTllpZKbV/1bjkQ/WcP//vBJWK7cVcd9low4ZprSikl/+awlPfLye80Z259fnDiMzzXt9fU52er3nHcqf/7uC5xZs4PxR3fnVOcMatGyBurXN5JrjevPw+2s5a3g3+sXgLWwiIiIiSviItCw/BcZWl+oxsxzgv4ASPiIRpCYnEeNaPM3asf07ktsug027S+icncbxAzrVafzW6SkNfisWwPbCA4mmVduLQg6zbW8pT3y8HoAXP93It07sx4AusU+YrCvYx3MLNgDwwicbufa4PgzObRuTaaelJHHr6YO55ri+dGidFpMSSQvW7SK/oJgTBnamfQPeuCYiIiKHLyV8RFqWpKAqXDtR4+0ijWZXcRnvrdxOaXkVx/XvRLd29avaFAvllVU8PXc9H6zYQd+cLK46tjed24RuJ2ZQ1zY8842jWbW9mN6dWtM7TFWqxnb+qDw+WLmTvSXl3BTmzVw52emcP6o7L3yykTOGdSW3kdZxbtsMJvTtwIerC5jQt0PM55OanBSzaS7bspfLHvyI0ooqbjixH7ecdkRMphto/c5inluwgU5Z6Vw8tkdMklQiIiISW0r4iLQsb5jZm8DT/veLgdfjGI9IwtpXWsH3n13IzGXbARjYJYtHp46rd3s2DfXGF1v4+SuL/W9bAfjx6eETAT06tKZHQAPRVVWOpKQYtMBcB+P7duSNm46nssrRrlXoUioZqcn86pxhXH9CP3LbZcakZFEobTLTuO/yUazaVky/zq1pGyae5qC4tJLSiioA9uz33lD23vLtvLl4CycMymHSkIY1Yg3w2IfreOj9NQB0zk7n9CO7NXiaIiIiEltK+Ii0IM65H5nZ+cCxeG34/MM591KcwxJJSAvzd9ckewCWby3ig1U7uHBMj7jEs2HXvoO+r91RHNV4zjme/Hg9D723ml4dW/GjyYMY1r1dI0QYWnYUjU9npqU0SjWuYB1bp9OxT2zbBWoMI3u2456Lj2L1jmLOPqo7lVWOaa8uZtWOYl79fBPv39KRNpn1b9QbIDOgPavMZt62lYiISEulhI9IC+Oce8HM3sY//s2sg3OuIM5hiSSc1JRDa0umhejWVEb37EBachJllV7Jjwn9O0Y13sdrCrj95S8AWLvTSxpNv3p84wQpMWFmnDPy4Leqje3TgVU7ipnQt2NMql9ddUwfurXLpGPrNCYOyGnw9ERERCT2lPARaUHM7JvAL4D9QBVeKR8HMXmxj4gEOCqvHVcc3YsnPloHwIkDczi+f+Qfxmt2FPHyp5vYureEsX06cObwbjF7/fe4vh144prxfLJ+F3kdMpk8NLpqPXv2lR/0fe3OfVRWOZKbuHqXNMxtXx3MhaPz6JuTFZPEY4esNC4b1zMGkYmIiEhjUcJHpGW5GRjqnNsRy4ma2WnAvUAy8JBz7u6g/pcDP/a/FgHfcs59FssYRJqbtJQk7jhrCOeMyKW0oooRPdpFbF+mqLSc7z+zkIX5ewCYMS+fkrJKLj+6V8xiGte3A+P6dqjTOCN7tmNs7/bMW7sLgGuP66NkTyPYWVRK6/SURmv8uE1GKqN7H7ztnXNs21tK28xUMpqgWtaq7UVkpSfTpU182rGqrHI8/N5qXv9iM9ce34+vDle7QyIiktiU8BFpWVYB+2odqg7MLBm4H5gEbADmmdmrzrklAYOtAU5wzu0ys9OBfwCqEyIJLzU5iTG9o0uwLNqwpybZU+3VzzbGNOFTH53bZHD/ZaP4dP1u2mamMr6OCSOp3eMfruUX/17C0X068vsLh9O1bd0SItUNM7etY7s8j3+4jmn/WswJA3P440Uj6NCIr2//12cbuXHGQnLbZvLo1WPp37nx21wKtn5nMb95/UsA/vDWMs44sitmiZu8XLBuF799YykDu2Rzy+RBtMlsvg2Ni4hI49DrmEValp8Ac8zs72b2l+q/Bk5zHLDSObfaOVcGzADODhzAOTfHObfL//oRkIeIHCQrROmfjlmhX5ve1Dq3yWDysK4c3a9jQv9AjofS8kr+8s5Kyisd763cwSfrd9dp/EUb9nDan2dz+r2z+WJD3cZ96uP1VDn437LtrNxWVKdx6+qTdbupcrBh935WNPK8wunUJp0TBnQC4LShiZ3sAXj9i83MXbOLJz5az6KNe2ofQUREEo4SPiIty9+Bd/GSLgsC/hqiO5Af8H2D3y2cawjzKngz+4aZzTez+du3bw81iEjCGprblmuO613zvVVaMperjZSEl56azKShnQHo0DqNfjmt6zT+Z/m72Ly3hE27S/isjj/qLxnXAzOvfan+OVl1Greuzjwql3F92nPRmDzGRVnqLday01P562Ujef3G47nxlAFxiaEpeQ10JzG6V3v6NfL2FRGR5smcc/GOQUSaiJnNcc4dE+NpXghMds5d63//GjDOOffdEMOeBPwfcJxzbmek6Y4ZM8bNnz8/lqGKNHulFZXMW1PAlr0ljOrZnr4J+COtssrx8ZqdlFVUcXSM3hjV2PaXVVDpHFnpdasytXtfGSu3FdG3UxYdssJXpyksLWfh+t10b5dZ6zZfvmUvby7ZSre2GUw5qjubdu/jN699iRncdvpgenWKPmHknGPznhLat0olM61xavlv2r2fuWsKOKJrNkd0a9Mo85DwdhSVkpmaHLH9MIkNM1vgnBsT7zhERALp7C/SsvzPzL4B/Asore7YwNeybwB6BHzPAzYFD2Rmw4GHgNNrS/aItFTpKckcl+CvuH78o3VMe3UxAN+Y2Jfbzhgc54gim7+2gFue/5zCknJ+d8FwTjqiS1TjlZRXcsvzn/PWkq2cMKATf7tiNK3C/OjOTk/l+Ci2+/6yCn743Gcs2rgXgCQzzhuVxz++Xr/fmGZGbrvGa0C5qspx24uLmLl8O12yM3j528fQrRHnJ4fqlJUe7xBERCSOVKVLpGW5DL8dHw5U52poMZp5wAAz62NmacAlwKuBA5hZT+BF4GvOueUNnJ+IHMbe+GJzzedn5+dTXFoeYej4e3nhRlbvKGZ7URkPvb8m6vH2lpTzzpfbAJi1Yge79pU1OJb95ZUs33qg/Ztte0sjDB1/5ZVVrNzuxbutqIRCf1tv2rWfj1fvpLi0Ip7hSRQKS8r55wdreOKjdewv0/YSETncqISPSAthZknArc65Z2I5XedchZl9B3gT77XsjzjnFpvZ9X7/B4CfAx2B//MbyaxQsWeRlmls7w58tNorVHjCwBxaNVJVoljp2uZAw9m9O0auLrVuZzErtxUxomc7OmdncMeZQ3jso7VcMrZnTErSdGidzi+mDOVX/1nKkNw2TB7atcHTbEzpqcncde6RvLZoM6N7d2BglzZs2bOfrz/yMSu3FzP1mN5MmzI03mFKgM827GbvvnIm9OtISnIS/1m0mTv/5b10s01GClNGRGqiT0REmpvmfZclIjHjnKsys28DMU34+NN+DXgtqNsDAZ+vBa6N9XxF5PDzzYl96d2xNWUVlZx6GLwp6esTetEmM5X9ZZWcPSKXisoq1hXso2OrNNoFvMZ8W2EJUx+Zx5qdxZxxZFfuv2wUXz+mN18/pndM47l4XE/OGN6N9JRk0lKaf0Ht4wfmcPzAA9XVNu8pYeX2YgBmLd9OVZUjKal57wMtxWf5u7jwgY8oq6zid+cP56KxPWib4bVbZQZtM+vWhpWIiMSfEj4iLcvbZnYzXtKnuLpjA9vwEZEmVlnleGfpVhbm76Znx1acPrQrbVuFbxS4OcnKSOX80XnxDiNqbTLT+PqE3oDXyPGf3l7OX99dyZBu2fztitH08kv9FBSVsWand1pdsG4XZRVVpAc0SP3Kwo3MXr6d04d145Qh0bUDFE52xuH7w3tIbhu+d/IAZn65jW+d2E/JnmZk9/5yyiqrANhZ7FUXnDy0K09cM47k5CQm9O0Y9bQKS8opKa8iJ1ttCImIxJPe0iXSgphZqAYonHOub5MHUwu9pUskvOcW5POj5z6v+X7lhF7cefawOEbUMhQUlzLhrncprfB+FN9z8QjOGelVcamqcjz+0TrmrNrB+aPyODWgutW2vSUcc/e7VFQ5OrdJZ9aPTiQztfk+c3PO8eTH63n9i81cMDqPc0cePgk6qb/yyipeWLCBgn1lXDg6j5zsjNpHCiF/1z6++dh8Vu8o5m+Xj+akIzrHONLmSW/pEpHmqPnebYhIzDnn+sQ7BhFpuFc/PfhFeE98vJ7rju9LXodWcYqodrOWbeftJVsYktuGi8b0ICW5+VdHCtYmI5WvHtmNFz/dSMfWaRzRNbumX1KSceUxvbkyRBWu1ukpjOzZnnlrCxjTqz3pyc37VfTrC/Zx+8tfAF5ppRMG5tChtUpqJLrU5CQuGdezwdNZubWQJZsLAe8tdy0l4SMi0hwp4SPSwpjZMGAIUPPozjn3WPwiEpG6at/64OpbWWnJZKQ13wTKlj37+daTC9hXVglA93atOGHQ4ff6+ZTkJKZNGcp5o7qT2z6Tvp2yohqvdXoK9102khVbCxma2zYm1ZhKyiuZvXw7rdKSObZ/p6jaQtpfVsniTXvo0iadHh3CN0DdvlUqR+W15bMNezimbydah3idfGWVw+CgZSkoLmPF1kIGdsk+ZB9tzsorqyguraDdYVItsikUlpSTnGT1alR9RI/2XHF0T9bv3HdQSTcREWl6SviItCBmdgdwIl7C5zXgdOB9QAkfkcPIpeN6MHPZNvaWVGAGPz79CDpl1a/6RVOoqHJUVB6oQl5eVdWg6ZVXVvHx6p20SkthVK/2DQ2vTtpkpnLcgLonq7q0yaBLm9hto0feX8Pv3lwGHFy1LJI/vb2cB99bTdc2GTx2zVgGdmkTcrg2mWk8cMVolm8rYmhuG9JTDi6R9OXmvdz64iIy05L5zbnD6NMpi8oqx09fWsTrX2zhzOHd+OulI5t9g9wAxaUV3P7yF7zxxRbuPv9IztZbqPho9U5umvEp7TJTueeSkRzRLfR+Ek771mn86pwjGyk6ERGpCyV8RFqWC4CjgE+dc1eZWRfgoTjHJCJ1NKFfJ1678Xi+2LiHvPatGNa9bbxDiiivfSv+cukIXv/Cq9J1/IBODZre4x+u4xf/XkKSwd+/NppJQ6IvRfDeiu08MGsVXdpk8L2v9Kd3lKV0Yqm8sorUCFXadu8ro8q5iNWolm7ZW/N55baiWudZVlHFKws3ArBlbwnLtxaFTfgAdGuXSbcwr5Kfs2oHC/N3AzB/7S76dMqirLKST9fvAuDT9Yc2Wt1cbdy9j5c+9dbLu19uO6wSPh+v3smLn2xkRM+2XDK2Z8wSbDOXbWPL3lK27C3lo9U765zwERGR5kMJH5GWZb//evYKM2sDbAOaXYPNIlK7vPatyGvffNvsCXbasG6cNqxbTKa1ZLOX7KhysHxrEZOGRDdeaXklt724iPxd+wGv1M2PTzsiJjFFY19pBXe/vpS3lmzjJ6cfwdkhSuV8vHon35vxKcWlFdx7yUhOHhz6jV7njsxj1vLtdGiVxqQo3vqVlpLE9Sf05Zf/WcqIHu0Y0aNdvZdjXO8O9O/c2ith1dMrYZWZmsJvLxjO/77cxleO6HxYJHsAenZozXXH9+G/S7dx5vDY7J9N5d53VjBn1U6emZ/PyJ7tOaJrbBIz4/t05J8frCU7PYURPdvFZJrRcs7FvGRYWUUVVVWOjLTDY58UEYklJXxEWpb5ZtYOeBBYABQBc+MakYhIHU05KpfZK7aTk5XOV+rYIGxayoGSNSlN/ErwJZv38thH6wH4y7srQiZ8XvtiM1v3eq/EfuGTjWETPl85ojMv33AsK7cWkpEaXftNVx3bh8nDutE2M4Ws9Pq/2n1YXjv+9Z3jSDI7KLFzwsDOnDAw9PbYuqeEtTuL2FpYyokDc2iT2Tzay8lITeanXx3CT04fXKe2lT5ctYMvNu7hhIE5DIwi0bJlz37u/99KKqocN5zUnx4xSNYO7taGOat20rtjKzrEsM2kk47ozLs3n0BqUhKdY1gNsTbPzc/nbzNXccXRPbnq2D71Tvy8vWQLby/ZyimDu3BE12x++Nxn7Cgq408XHcXInk1bBVREJN6U8BFpQZxzN/gfHzCzN4A2zrnPI40jItLcTByYw7s/9H6Q1qUkSXpqMnedO5wnPl5Hh9ZpXDK24W8kqoseHVpxZPe2LNq4h9PDlHYKbAh6YJfw1c2KSsv58QuLmLe2gPatUnn2mxMY0CU77PAAZkb3MNW06iqzDo35vvLpRn7w3GcM7JJFaXkVK7YW8cNTB9U63o6iUtKTk8jOrH9yKlp1Sfas3VnM1dPnsb+siv8s2swPJg3k+AE5ERMUs5Zv53E/2XdE1zYh3+ZWVzdNGsAJA3Po3bEVnev5CvVwurdr2tKDVVWOe99ZwYZd+/ndm8s4d2RevRr+Li2v5GevfMGWPaW8s3Qbt391MPPWelUNP1y1UwkfEWlxlPARaWHMrDvQC//4N7OJzrnZ8Y1KRKRu6ltCZVzfDozr2yFkv1Xbinj1s01kpiZz3qjuMS/d0KVNBv+8aiybd5cwsGvoZM4l43rQOTudssoqTh4cvvTS7uJy5q0tAGDXvnLyC/bVmvCJlw9X76SyyrF0cyET+nVkR2FpreO8s3Qr33nqU7q3y+D/rhjNwGa0bJUBjZAXllRy6wuL+M15R3LioPDba1DXbNq3SqWisoohuQeWpai0nPSU5IhtOoWTnZ7KxIGH39vuQklKMr52dC/+8NYyLhqdR1FZOesLimmdnkL/zt76WralkJXbCjm6b0c6ZoVu3yotJYmJA3J4dv4GThyUw5he7Tm2fycKiks5tn/D2g4TETkcKeEj0oKY2W+Bi4ElQKXf2QFK+IhIi1ZUWs5Nz3zKoo1e+0DrC/bxm/Ni+6ahf3+2iU/W72LSkC6HvPmqWnpKMqcfGbr0z/srdrB2ZxEnDOpMbrtMvveV/tz3v5WcMrgLRzVxWyt1MWVELmt2FNGnUxZtM1M4e0RerePMWr6d/eWVrNxezKfrdzc44bN1bwmvfLqRzm0yOOuoXJIbUJ2vX04Wf7t8FG8u3sqGXfv5cHUR+8sqI44zokd7Xr9xIs65msaw3126lZuf/4yxvTtw13nDY1otq7l4/YvN3P+/lZw1PJdrj+8bcb1/Y2JfMlKS+OPby3lv5Q4yUpNZX7CPZ74xgY5ZaVz5yFy27C3hsnE9wx6bZsZVx/TmxIGdOXZAR9pmpvH41eOodK5eSTURkcOdEj4iLcs5wCDnXO2PV0VEWpA9+8prkj1ATemZWFm6aQ/fm/EpVQ7+s2gz//3+CXWqqjR/bQFX/nMulVWOkwZt45GpY7nplIFccXQv2mSmktGMG0k+pl8njulXt9IVEwfk8My8fLq3y2Rkj4a/he6JD9fx1/+tBKBTVhrHDWhYyZhThnRlRM/2vLBgA1OOyuUrEUpjVeva9uASYzOXb6eguJw3F29lZI985q0tYOqxvTk+yth2FJWSlZ7SrLf9I++v4YuNe/li417OHJ5L9/bhqxSaGZ9v2MPekgqKSisY37cjSzcXsmVPCa3SktleVALA/rIKlm/dS99OWaQEJXFWbi3ksoc+Zte+cn573pFcPK4nSUlGEk3bXpeISHOhhI9Iy7IaSAWU8BERCZCTncGFo/N4bsEGAC4YXXsplLpI9avtlFZUkZ2eSnJy3X6A7igqpbLKq0a0cnsR5ZWOtJTYN6qbX1DMsq2FDO/erkkb7A12ypAuvPfjk0hPTqZtq4a34VPdWLcZpCYnsWVPCUWlFfTvfGjVuvLKKmav2E52egrj+nQMO81OWel884R+B3VbtqWQsooqjsyrPUk1aXAXZi3fzlF57Xhq7nrWF+wjIzU5qoTPqws3cvNznzNxUCf+dOFRNY1g7ygq5dWFm+jWNoPThnUN267Qvz/bxGcbdnP2iFyGdW9X6/xCWbJpDwvzdzOhX0f6dApdRfHM4bksWLeLC0bl0TGr9hJMVx3Xhw5ZaQzqks36Xfs4fUgXVm0v4o9vL+PHpx1BcWkFH68p4NQ/v8dtZwxmYJcs7nt3JUf37cB3vjKAbYWl7NpXDlDzNj4RkZZMCR+RFsDM/opXdWsfsNDM3iEg6eOc+168YhMRaQ7SUpL4+ZQhTBrShYzUpDqXSKlN/85ZPHzlWD7fuJuJA3JoVYdGjwGOG9CJb5/Uj0Ub9jD12D4HvW0sVnbtK+O66Qv4cmshJwzM4cGvj2mU+UQrlg0Rf21CLzq3SScnO51O2emc97cP2Lq3lL9eOoIzjsw9aNiXP93Ij57/nOQkY8Z14xkbIekTaNbybVw3fQHlVVX8/oKjak0aHj8wh//+4ARKyiv57tOfsr5gH+PDtC8V7P2VOyirrOK/S7axvmA/w7p7yZSnPl7Pn95ejhk8/80JjO596PTW7ijixmcWUlnl2F5Yyj2XjIw4r6oqd0iVqA9X7uAf763GzHhryVYevWpcyHG/PqEXpw/rSrtWaWH3paoqV9No9rDubWuW44NVO5g0uAsPf7AG5yA5aRP3XTqSe9/xSmrNWbmDOSt2MH/dLuav28Vpw7oxpncH7pwylM179sc8aSsicjhSwkekZZjv/18AvBrPQEREmqvs9FROHdo1qmGLS8tJSU4K2xZPKMcN6MRxA+qXSMpKT+VHk4+o17jR2r2vjGXbCgFYsG4XJeWVjZ7wWbC2gKLSCo7u17FO67Ku2rVK42L/rWz/+3Irm3Z71YOWbCrkjKDmYPbu90qIVFY5Cksjt80TaOH63ZRVVgFeFbxoEg6pyUmkJidx32Uj2VFYRq+O0b0d68zhuSzZvJdj+naiX86B0jWt0rx1mJqUxJdbCtleVMqpQ7oe9Bay7IxU+uW0ZvnWInp1bH3QdJ1zPPz+Gl79bBPfnNiPkT3b8ZMXP2fLnhLuPn94zVuu7nlnBR+vKSAzNZkLRnUPG6eZhSwpll+wj9++8SXFpRU4vDfvbd9bSt+cVtz9+jJ2Fpdx4qAcZi7bymXjevL03PWcO7I7vTq25lfnDGP+2gJystPJ37Wf5CRjQt+O5LXPJC0lKSZvQBMRSRRK+Ii0AM656dEMZ2YvOOfOb+x4REQOB6u2F/H24q20b53GlKO61byKfOaybdzy/Gf07NCa319wFH1yWtcypcNDn05Z3HXukcxevp0zh+fSppFfh/7O0q1c99h8qhz85Iwj+ObEg6tHfbFxN0/PzadHh1ZMPaZ3rW3VbNmznz+/vYIte/bz3ZMHMCZE6RaAcX068v1TBrBlbwnnjMw9pH9yknH8gE70aJ9JbtvQb4MKVlJeSaesdDq1TqOwtILJUSYOq2Wlp9bpzXMTB+aEfEPXZeN6kts2k8179/OzV76gysET14w7qM2ijlnpPDJ1LB+t3smGgn28++VWxvTqwKufbaSgqIw/v7MC5+Dvs1dx41cGMGv5DgDeW7G9JuHTL6cV89YWkNsug7z2GfziX4uprHJMOSo3ZKmiQM/Oy+e9ldv59+ebATimX0feXbqV91fu9JI3fTrw/qqdZGekcPuZQzm2fyduPGUAOVnpmBlXHN2LoblteHpuPhmpSdz4lf58bUIv2rVKvEavRUQaSgkfEQnUN94BiLQU63YWs2ZHMQM6Z9G9fXRP9aXpFO4v53tPf8riTV5DzntLyrnueO8U+e/PN7OtsIxthWXMWb0jYRI+AJeM68kl43o2ybxWbC3Cb5aIbXtK+Ms7K+jdsRVnHZWLmfHonLU8v2AjAAM6Z3Hy4C4Rp/fusm08Mz8fgC5tM8ImfFqnp3DjKQPDTuffizaTkmS8sXgr//58Mw9fOabWal3PL8jn9pcXMzyvLacM7szTc9fzwKxV3H7mEI7sHl2j0x+v3sn7K3fQL6c1Ewd0pkMUbd4Ea5WewhnDu/HEh+uocjCsexveXrqV9QX7uGhMj5pGjru0yeCBmatZub2IVmnJXDSmB4/OWcvALlkc378T763cwZSjchnYLZvxfTqweU8JE/p1oqrK8cCsVby3YieXjutJZWUVs1bsZM6qnYCXJL362D58xd9W+QXFPL9gA707tuackd0pLKngF/9ewrDubeiUlQYOkszIa58J7CS3bSbnjsrluIE5nHFkN3p28M6NwdX77n1nBTOXbSctOYlZPzqB9q2jS8yJiPw/e/cdHtdZpn/8e6aPyox6782We5FrbMfpvfdG2BAglNDbLrALu8vCD3bZhYUFAqGGBBJIJz2kx7Hj3pusYvWukWY0/fz+GEW245rYjhL5/lxXLo9mzpx5p8SWbr3P85xqFPiIyP7M8V6AyKngsQ2JhquhaJwkh5X/uW7WMZcSycm3q3OIXV1D9PnDY9ft6R4euzy7OI2/rGkh2Wll8nGOC5+IVtT3MBSMcvqk7COWaZ1Zm8PTW9rp8IUIRuPcPdp7piwrmRlFaeSNlgLZrQaZxzCyvDgtCYsBcTNxjnfrlgWlPLiuZez9X9XYz5uN/eR4nFw+qxCb1cJwMMK9K5sZicS4aWEpTb0BADa2DJKd6uT5bV0APLGp7ZgCnz5/iDvuWUN/IEJJRhJrmwb49mVTD9t0+WiumltIqtvGG/W9/O71JgBKMpLGdvpYDYOiDDe7u4cpy0ymsccPwM7OYZbXZHPFrAIum12ExWLw/WtmsLcnQHVOCj3DIX7wzA5ME1Y19HFaVSbRuInXbccXjOCyW9nYOshp1Vn86pUGVjf1EY7G+dHzuynLSmZmURpXzink9yua+McLJ3HNnGIwoHMwiMNmEInBj57fze9umz8W9hxKdU4KL+7oZnJ+6jvaGSUicqpR4CMiIvIe6h4K8s2HNxOKJnp9BMIxvvPENhZVZL6jMd0TyQs7unh+WxclGW5umF9Cqmv8Xod1zf3cfPdK/KEYF8/I5/ltXUTjcZZP2lcSc8P8EqYWevC47FRkH3o60alq5Z5ebvrVSuImfO/K6SytzuZ3rzdgsRh8eHEZed59Y7lrclP588cXEzPj/GE0lPA4baQ4E9+efmxZBZPyPOR7XcwaLSU6kqU12fz54wsZCERYUvXux65fNruQGUVefvZiPeFYnHA0NtYoOD3JwVm1uby4s5v/eHI7AF63nfOn5fP4hnZ6/CGWVWfx6q4eIrE44Wichp5h/KEof1nTQmV2CvPLM3DYLAdMtrJaLKQ4bfQHIjhsFja29BOOxnEepYxtJBzjiU1tAJRlJpOV6qQ0Mxm3w8Zlswpp6U8EUXarQe9wmLtf3cP5U/MpTHfzH5dPZ3VTP1MLPPQHwhSmufGHo/zhjWbCsThVuR52dg5x18v17Ogc5sOLSvnGxVO4bXEZ96xs5rypeeR7nDT1BLhqTgE2S2IKXXG6m61tPn7w9A4AFlVm4nHZeHFHF3keJzOKvHxyeSXnTckjIyWxM+dXrzTw+xXNifexKpNILPH7p3XN/Ty2oQ2P206+x8XVdcVYLQafObuaMyfnsLcvwDNbO7hwegFux/t3PL2IyHhR4CMi+3t3v0oUkWPWORRiYCR6wHVNvQF6/eFTMvDZ0eHjjj+sGQvAnDYLty4uH7f1bGkbxD/aqHd1Yz+//8g8kh02phTs26VhsRjMKj56APFBYJomhmEQi5u8saeHFJedmUVp7/p8wUhsrEwrEI7ywJq93PVKA5AIRj6xvOqA4xNNoS3csqiMqtwUCtLcYyGax+3gkpkH99g5knllB5demabJfauaWbGnl2vnFrP0EL1v3u6lnd08vKGV06uzsez3T6N1tPlxbqoTh9VCJB4n3+tibmk6T35uKaFInFyvi8GRCCsb+rjnjWaSHDYae/08tqGd5ZOy+dfHt2K3WvjDRxYwtzR97LX5+S1z+dvGNqJxWFSRcVDYMxgI85vXG+kbDnH9/FKmFHh4dEMbX/3rRgCWVWexpc3HPbcvoDbfA8C0Ai9XzSmkOMPNfz+7g8a+EdoGgnzz4ikUpLu5NN3Nzs4hAuEY37i4ln96aBMjkRjTCjzcu7KJPT3DNPYGyPO46POHueGXb3BdXTEr/vFMMpKdxOImOV4X65r6ae4L8MTmDhZWZDKtIJXavFS2dw4xpziNeNzkR8/vJj3Jwbce2wpApy/IP14wmTXNA2SnOHDaLMwpSeOWRaXUjO6c+96T2+gaClOSkURLioPy7GTml2eS6rQzHIrxlb9uAiBmwrV1xe/osyIicipQ4CNyijEMww2UmKa54xA3f/W9Xo/IqaYyK5kZRV42tgyOXXd6TdZoD4tTT68/PBb2AHQMBsdxNTCvPIOyzCQaewN8ZGn5IQOE95u1Tf08uK6V6YVerq0rOqYyoNb+Eb792BY6fEH++eIpbG4b5FuPbsVuNbj/44vGmvO+U6dVZfE/181icCTC5bMKeHBdy9htR2oC7XZYOXPykXv0vFst/SN8/eHNmCb4ApFDBj5/29jG5rZBLpqWz7SiNO55o5lw1OTZbV3cuKCEb1xUS67HydLRkqh55Zk89KnFhKNxvG47z23rZHZxGrneRBma02bltd2JvjbZKU6GgomQNxaLE4mZRGIxGnv9Y4EPwNQCL1MLDl/+9eTmDv7nuV0A+IJR/uf62cTj8QOO6fWHWd/cPxb43PXKHkwz8RrMKE4jEgePy8Yf32jiwXWtlGUksat7iI0tPr507iRmFHpZVJlFvtfFYxvaKM5IZnKeBxP4/YrELqxkp42r64rp8gV5flsn//jQZmrzPUwrSCVugmHAXa80UpWTwr9cPIUuX5DsVCfnTMmhNDOJVKeNoVCU/kCEn7ywm9++3oRhwHcun8ZPXtjNF+/fyLcvi3HlnCIqslNx2gK8tLMbgMJ0Fy9s78IfjjGzaN9rZdWvq0REDkmBj8gpxDCMS4D/BBxAuWEYs4B/NU3zUgDTNJ8Zx+WJnBLcDhvfuXw6P3lhF6/t7uWMydl86oyqsWaqp5pphV4umpHP3za2k5Pq4JwpefQMh/jL6r3EgWvmFpGdevBY55NlUq6HBz+5mMFA5Lj6wJxIpmlS3+3H47Yd1LwW4Gcv7ebZrYmeMdMLvUwp8Bz1nK/u7uaZrZ1jlze3JppTR2Im/YHIu16rzWrh8tn7xnRfW1dCqtOOxWJwwbT8d33etzNNE384ekz9WzKSHZxek82LO7pZWHlwgLerc4jP/Gk9sbjJzo5h7v7wPG5eWMK3H9/KmZNymFWczhmHCKOmFnhp7PFz/V1v0OELcnpNNv98cS33rtpLLG7y/aumY7daOH9aPv5wlKmFHnJSnNTme7BZLZxRk/OOnrPTvu/viOTRsrdLZxUSiZu09o/w3LZOphZ46B4OEY+bvLKrm6n5Hpp6Azw9+l5/48Ja+vxhHt/UzpqmftY09bOoIpNJuSk8tqGVHZ3DnFubw5rmAXr9YYrS3Vw6Ix+n3UJ5VhINPQGm5Ht4bH0bX3hgPeWZyUwt8LClzcdnz6xiYCRKrsfJa7t7icbiPLCmhcxkBy/v6sEw4NzaXP7xgsk8sbkD30iEziHL6PsJ/YEwxelJWDMNXtzZTV1pGl85bxK/fq2Bl3f1YLMYdA+HuXdlojH3BdPyuPtDcxmJxjlnSi49QyG2dfiYWuAl4xh6PomInAoU+IicWr4FzAdeBDBNc71hGGXjuB6RU9L0Ii8/u2nu6A+stnfdmHUi8LjsfP+qGXx8aQVZqU4K0tz8z3M7x3YyjIRifPG8Se/pmjKSnWS8j6b+/HFlE994eAslGW7uvnUe1W9rFF2WmQimZhV52dMzjNtuPerksJrcVFKcVvzhGOVZKTyztZOl1VkUpbk5rerE7Wp6azfIiTQSjvLdJ7bxyIZ2vnxeDTcvLDvg9mAkxiPrWxkMRLhsdiG5Hhf/e/1s2n1BKg4R4iU5rKS57fT6w+SMNoq+dXEZ50/LI83twHWE3jB7+wJ0+BK70l6v7+Ghda3c/WqihO2r508aK2FzO6xcMzfxOpw+6Z0FPW+5YFo+oWicvuEwF8/MJxY36RkO8cDqFnZ1DXH9vGKe2NTB4EiEZ7Z2cMc9awG4YX7icbNTHJxZm8P3ntpOqtOGxYAcj4szJmezuqmfkVCU86fm0R8I0xdINKzOTnXy6MZ22geD/MPiUvLT3LywrZNNrYNEYiY7u4a5ak4hdWXpbG4ZYF1THwsrMviXS2oxgNd295HiSrx+FsPgkQ3tLKvO5MxJWTQPjOAPRvjsWVWUZSZTkObkFy/vwTcS5eo5RezsGuLs2nw+ubyKKfkeBkbCPLK+lYwkO32BCPleF2dNSTS7j8TifPkvG3hhRzeXzMjnf2+c865eYxGRiUaBj8ipJWqa5uCp/MOlyPuFxWKMa3Pi95Nkp40ZxWljX49EYmOXA/tdPlU9vy1RztLcN8KWNt9Bgc9nzqxmcWUmz23r4tP3riPf4+L+OxZSnHHo0KdtYIS/rm3hHxaXs6gyk8VVWWQmO9nYMsC5U3OPOFnr/aC+28/v30g0+P3x87u5tq4Yx35rfnpzB18d7e3SFwjztQtqSXXbD9sjqzA9id/fNp8NewfwJNkIRmK47NYDGkwfzsxiL+dNzeW13b2cVpXFzs5909zyvW46fUECoSjlJ6C5t8tupcDrYnu7jxt/uZKF5RmcVp3J5rZBTBNGInFuXVxCz1CY13b3kJnsYGAkQvtAkKVVmVxTV0xFdgplGcns6hritiXlZCfb8bodPLOlkxvmF/PLVxuYVZTGdXXF9PrDTMlL5Ud/TzSsbhsMAgYrGvpZPimbfI+L4owkWvpHWNnQx5fOreGiGfns7PLzfy/uYVFFBmub+5lfnsHlswpwWi20+YLc9UoDTpuVPK+LFKeNLW1dPPHZpbzZ0DdW+uYLhvl/T+6kKieVsswULpie2B2WleLkV6/swWKxHDC5LRyNsaUtUSa7td1HJBbHforumhQR2Z8CH5FTy2bDMG4ErIZhVAOfAV4f5zWJiBzg+nnFBEJR4ibcOL9kvJcz7i6ekcfLu7qpyU1hVsnBPV5S3XbOmJzLfz+b2BXV7gvS4QsdNvB5cUcX94wGJnleF4urslhSnfjv/aTTF6R7KBEyVOWk4BptYlyY5mZBeQYrGxK7SVr7A+zpCRAIx1hWnUU4tq+vTSQaP8zZD9TnD/HPj24hGjf51qVT+PAhGodvaRskGIkzpyRtbFeex+3gs2dV4xuJ8OKOLs6dksuvb63DarHgddu49H9fpXs4xOfOrmZPt5/zpuaNhRfvxr0rmwmEY1Rmp/Dk5g4e29jOFbMK2dXlIxyJ8fsVzcwuSSfFYSXH4+SCaXmcVZtNfloSk/M8RGNxKnOSMAx4ZVcPW9t9fOvSKZRmJLG1zUcgHOP1Pb3MKUljwB9icCTCtXOL6BwK0TMc5tmtnZw7JZe2gRGWVGfS4QtRnpVMeVYy50/N5QsPbGRjyyDLJ2VTkOZmcn4qT27uAODy2QWUZSTzyq4eAEoykzBNk3On5LK3z8/9q/dyw7xi2gdGqM5JYV3zIDvah2kfDPG3je0srsykMjuF9XsHCUXjLKrYtxMt2Wnnv66Zxcu7ujlzco7CHhGRUQp8RE4tdwJfB0LAfcDTwL+N64pERN6mPCuFf7t8+ngv46TrGBzhjyubsVsNbl5QRkbKofuOXDW3mNOqskh22I44ye3z59bwu9cbqSvNYEbR4Zv/1uZ78LrtYJpMzj96v59jEYzE8IeipCU5sBgcd5nitnYf33x4M75ghJ2dw3zy9Eq+csFkANKTHcwpScNiMXi9vpfsVNdYGdVVcwr550umMDhSy0AgwrV1RUd9rEfWt/Lg2laio+PFunyhg455eWc3H/ndm0RiJj+8ZiY1ealEYnFml6QzpcDLd66Yzt7+EaYX7usf8+tX99A5FBq9fw8bWwZ5ZmsnCysyiZsmu7uGqc334LBaiGOS5Djyt+UdgyPs7vJTmpVEssNGWVYyW9p8OGwWzpmSx4+f3830Qi/JdgvbOobY1p74r3VghC+emyiLXNvcz29fa6IyJ4XsVCfnZeSytc3HGZOyyUi2s71jiAun5dE6OEJmqpPe4RDJLhtum4WXdnbjcdooSHORk+pga/sQbzb2s6qhj2c+v4wd7b6xZvRNPX7yPA5KM9xsdtsoyUgmw+1ge4ePeWXp2CwGy6oyaR0MkpFs548rm3lgTaLB95KqLDa2+rhsVgEzirz86LldPL+ji/vf3MurXzuDe25fQGt/gDMnH1gat7Qm+5gmsImInEoU+IicQkzTDJAIfL5uGIYVSDZNc3xH4oiInKIeXNfK/46Wy6QnObhlUdlhjz2W8qIzJuVwxjH0h5ldks7Tn1t6zOc9mj5/mC/dv4HX6nu4bFYBvf4w/3bZNArS3v25N7YM4LBZxkqknt/eye3Lysd6KyU7bayo78VmMdjTva+M6rEN7Xz9olpuX1pxzI/13NZOtrX7OGNSDsXpbq6fd2DPoXXN/Ty3rYNILBEI7egc4it/3UjMNPnRdbO4dFYhFdkpY+Pk3zK7JJ20JDsDgQilmUmsbupndkkGFgt87r4NvLSzmzuWVbK+pZ+MJDs3L0z0yCnJSB4b/76/XZ3D7O4epjDdxZa2QQYCEc6clM1IOMam1kGicZN1ewdYVp1FnteNx22nPDOJ7uEwbf0BphV6CYQSa+kdDpOWZMNhs3L/6kTQctviUqYVeglGYzy5OdHk+ROnV/DM1k7OmpzD4spMTKB9IEiux0FxehJDwSguu8HPX6zHYphcPD2ftsERFlVk8tMX6/G4bXxsSQW/W9HIPSuHWFqdxdTsZJIdFoKROA+ubSUcjfOJ5ZUAeJw2yrOSeHFHF188u5r/fWHX2PlsBqQ4bMwry2BeWcYxv78iIqcyBT4ipxDDMO4F7gBiwBrAaxjGD03T/MH4rkxE5NTj3a+H03vdz+lEBD1vaer18/cdiSlhe/tHWFHfy5Wz+48r8Jlbms4fVzRy/rQ8eodDVGansPT7L/DTG+ewfFIOty4uI9/rxm230D8SoXVghJ2dw1wwPQ/PO3gtY3GTkowkXtrZTSga49NnVR0wCW1FfQ+3/noVty4qY1FFZqJpsj88thvo9fpeLp1VSDxu8kZDL1bDYMFoqdHsknQev3MJw6EobpuFc6bkMqMwDUxY3dgHQHOfH7fdxhObO+kejtDc5+cfTivnjtMrD1prTV4qc0vTCEcTU9sg8bkJhKNgGNTkplBXmo7dAq/v6ePNxn7CkRh7+0co8LrAMHhwbQtPbUmEORdMyxvrmeOyWfC4HUzNTx3r4ZTitDEUjFKQ5sYfTvTIGRyJcs6UHJ7a0sltp5Xzyq4eCtJdrGnuJ8VpT+zgKU0nEotz6cx8Upx2Xt/TS/dwogm0120nGI3x8s5udnQOc97UPJ7e0sGMQi8/vmEWuzuHWdPcT67HxZ6eAB2DIV4eLQH71iVTSHIe/keXZ7Z00NIf4OIZBWPNt0VETnUKfEROLVNM0/QZhnET8ATwVRLBjwIfEZGT4KUd3by4s4tl1VkHjfa+am4RqW47DqvBWbX7bmvoGeaB1S2kJdm5YX7J+76596TcVG47rYw39vSSlZIot5peePiSsmNRlZPKH25fxEgkys6OIT70mzfJ87h4Zksnf9/exYcWlXHV3CLWNvXz38/twheM8K1LpnDpzAIeWNMy2oA676g7nnr9IX7xcj21+V52dg4RihzY86dzMEg4ZuIPx9jcNkg8brKgPJ2FFRlEYiZuu4XP/WkdCyoy+ccHN2EY8Mtb6qjITuaN+l6sFoPzp+XhTXLQNRTil6/uYW5JOp8+o4rhcJTpBR7+c7T30vq9/cwuSeeB1XtZXpPF5PwDX8OhYITr6oppGwjQMTjCcCiKPxylfTDIljYfV80pZHfXME6bha7RUrKWgRHmlqbz+MZ2HDaDnFQXbruVcCxOntfFw+taWV6TzZSCVH764m4iMZM7l1fwieUVhMJxwrH4WM+dWxeVkpPqpKk3wAVTc1nT1E/3cIju4RBLKjOZUZzGWZMz2dUVoG0wyJqmPq6tK2ZFfQ/LJ2VjtxokOSxgwo7RnVuRWIzvXjGNe1Y28dLOHj62tJzyrGSaegKYmOR79wU3uYcJccLRGNs6hrjjnjXETRgIRPjCue/tZD8RkfcrBT4ipxa7YRh24HLgJ6ZpRgzDMMd5TSIiJ4UvGOFPK5vpGApy8fQC5pSmn/zHHAnTNRQm3+siFI3xqXvXMByKcd+qZl7+8hkH7Dxw2a1cOrPgoHP86pUG/rgy0VQ51ZUIfba0DrK2uZ9phV5mlxz6efhDUf7377tYuaeXjy6r5MLjaA58OK/t6uHRDW3MK0/n6tEx40lOG/98yVQAhkMR7BYLTvvxTfra2u7DbjGozk3sOLlhfgnRWIx7VyVeF4fVwON20NjjZ1dXIjx4dlsnU/O9/OODiQldj6xv44UvLT8oKOgYHOH3K5pw263cvLCEfzitnF++0sDNC0rI8TgPOPbM2lzuPLOKQDjKT26YzVAwyuLKLJ7d2sGm1kHWNA/gD8VIGh3dbpqwu2uYr/xlI3leF7OKvQyFIty+tJLvP7WDN5v6uXdlM9MLvazfO8Bf7ljEF86p4YlN7WSmOHlw7V6WVGXzr49v5d6PLhpbR/vACLf99k2a+0bISXUypzQNt83KQ+vbOK0qk2vmFNI6EGRH5zDr9g5wbV0xBWl+HFYLhgGXzizgN681EY2b3LqoFBMTAzinNpdgNM7uzmEiMZOyzCQ6h8J0DYVYt3eAK2YnPp8WA1JdNn7xSmJs+pWzC8nxOCnPSqIgzc05tbns6fHT2BviiU2JJs2nVWWysWWQpTVZNPQE2Nnho2p2Ifeu3Mt5U/MYCUeZV5ZBffcw0bjJGZNy6PeHeWBtK5Bo6mwx4OPLyinJSObcqXkHfU4e29DGv/9tKzfNL8VutRCKxomZJrG4eciyOBGRU40CH5FTy8+BRmAD8LJhGKWAb1xXJCJykjy4toX/eHI7AM9s6eSJzyzFc4Smx8drb5+fO+9bz/q9AyyvyebfLp9GrsfFcLefnFQnDtu7mxzU2h/gtt+upnMoSIrTykOfPO2g0ewAKxt6+flLewD4+kObWFaTRYrz0M83HI3T2h8g1+M6YpnM2333qW1sbvVx/5q9zC1NpzwrBX8oyvPbO8lOcbKo8vgmfa3c08vz27p4s7GPLW0+7r61jqU12Xz3yunUdw/zyq5eOoeCxOImP3x2J8v3a9JbkpEM+/0Ow2Yx6PQF2d01zJySNNyjTZEfWtfK/71YD0B+mpuvnj+ZjyxJ9Ad6+3u0pW2Q377WQGaKkxvml1CVk3jdr5tfQkVjH49vamdqgYdVjf0sn5TFpFwP4WiU9GQHgXCUe1ft5fSaLKqyk6kt8PBmUz9VOSl0DYWIxk36AxEunJ7PhdPz2dExyNbWQZ7b1smMojTebOhlXnmiPKxrKERz38jYZX8oxsLyDIZDUWrzPfQMBXE7LJRkJJGV4sBqJEqy0pLsFKc56R+JjpWhdfiC+IJRItHYaPNmB8kOFzkeJ4FwjPtHmyefXpONPxTlo0vLcdutrGsewDeSKAHrHAry4LpevnpeDVarwb/9bRvJThtn1yZ2VGWnOEl2WEl12mnqHaE0I4kza7PxBaIMBSN0DwWpzfewrX2IjGQHr+1O9GP6xOkVzCjy4rRZeGhdK4FwjAum5ZHmdhA3TRq6/OR5nWOf6wfXttLpC/Hfz+/kf6+fxSMb2nh4XRuFaW5uXFB6XJ9FEZGJQIGPyCnCMAwL0GmaZuF+1zUDZ4zfqkRETh5fIDp2udMXJBiN4eHEBT5NvYk+KqWZifHnf9/ezfq9AwC8uLObtc39/PSmOaxp6mdOSTppSYeewvV2H11ajtdtJy3JwcUz8qnvHqZzKNFffzgUo2MweMjAJyfVhdOW2OUwpcAz1ovl7eJxk+8/tZ1fvdrAhdPy+ME1M0k+xtBnemEam1t91OSkjoVnf1rVzL/9bRtWi8FfP7GIWcXpdAyO8NLObqqyU5h7jA12G3v8/MNv3yQQjjG1IDFJbFPr4NjkpcrsFP76ycUMByM8tC6xC2Q4GOUfL5iMaZpcNquQPK+L/7pmJptbB1hQkclHf7eazqEQd55ZNTapKjPZwaLKTMy4Sb7Xic1qOWxPo7XNAwyFYgyFAmzvGBoLfADmlWXwyKcW85W/bmJ31zC7u4Y5f2o+v3h5D0urMrlndJfWnh4/j6xr45ypuTitFjqHggyORLhuXjGLKjPpHBzh4fVtOG0Gc8vSsdks5Huc3LuqmU2tg6Ql2dna7uPauiIeWd/GpTMLuGZuIWv3DlCWlcyf3mzGF4yypCqLTa2DnDkpm3tWNnP+tDxyUpxsaB0iK9nBhdPycNmtROMmmckWcj1O7n61EYBr64roGQ6R5t73GS1Ic7G2aYAdnUNcW1fEjs4hzpiUQ6rTRkPvMAsrMrAYBlvbhojGTQZHIsTjJp85o4r8NCdlWSl8/s/r6fCFuHpOIa19I7T2j3DdvBIisRi7uoZZ1dBHksPK3NJ0NrcOsqAig6iZ2NFkMQxWNvRhmiZ/39GJ3Wrh35/YxnlTc/nRdbNZsaeHmUVeWgb8LKrIIivVybNbE72k3upxJCJyqlPgI3KKME0zbhjGp4H797vOBKKHv5eIyAdDLG7y6PrWRH+R6XlMyvNw0Yx8Vjb0srXdxz9dWHtAM97j9cyWDj597zoAfnLjbM6dmkd60oFhUrrbweQ8D5Pz3tno87KsFL5y/uSxryfnefjIkjL+sKKZS2cVMLMk7ZD3m1bo5Z7bF7Cne5jFVVnYrRZM0yRuckB5y4NrW9jS7uOcKbk8sbmDL547icqclEOe8+2+dv4kzp+WR0V2MpmjE7PCsUTfm7hpEokmLv+/p3bw0LpW3A4Lj35qySEDqrdr7Q8QHr1/KBKnOjeZZTUH7hgqTHOzvT3CnJJ0/veG2UzOSz3o3FfNLeKquUW8uqtnbCz62uZ+AIZGItz9aiOdQ0EWlGXwyT+u47NnVeGyWejxh7lmbjH5o82mH17Xyo6OIT68uJSRcJz5hwiuSjNT+NI5NfxlTSu1+amUZyaR53GypyfAR5dWsLV9EKfNiifJwVcf3Myk3FSisRg1uR52dw3zq1f3sK5pgOe3J4KKG+eXMLckjb9t7KCh189D69pYVp3Fy7t6mF6Qys0LSmgdGOG+1XvpGAxR4HXSNZRoiDwSjgGQleKkIjuZWUVent3aRUlmEh63nT09ftoGglwzt5Bnt3aSmbwv3BkKRvG67GzrGOQjS8qwmBA3IMfjxDcSwReMsKwmC5thkJnqZCQSYyQSZdfohLQF5RmkumyYmLxa38OU/FQWV2XT60+szWoxcNmtZKY4WbGnj6qcZOzWxGcyPclOVXYyyQ4rr+zq4RcvNwBw3tRcrppTiIGB1WLQ7gsA8MzWTl7b08Ptv1uNacI/XTiZ25dUEDNNvnXJVBp7h7muruionzcRkVOBAh+RU8uzhmF8CfgzMPbrL9M0+8ZvSSIix++VXd18/v4NALzZ1M8fb19AZU4Kv//IAkLRGEmOw3/L09wbwBeMUJvvOea+Hy/v6hkLOl7Z1cO5U/M4d2oe37ioNrFToTyDJdXHV970FpfdytcvnMKnzqjC47Jjsx6+NGxeWQaT81IxDGjrH+Gbj26mtX+Ef798GnVlGewaHSkeNyHJYeWL51ZTmH7s07S8SQ5O36+MCuD6eSWkOG3kpDqpGw1FOn2JHUkj4TjDoWP7vcLfNrWzfFI2/lCMmxeWcObknLEyrLfs7hziurtWMDgS5WNLK7jkED2Q3jKnJI1PLq9k/d4BPr4sMfVqJBqjsdfPnNJ0nt6amFb1s5f24HHZR3vJwBfOqaF7KMSX/7KBSMxkeqGHx+5cetjHmVeeybzyTH7zWgMPrm2luW+E1oER3tjTy79fPpVOXxCbxUIgHMNptzCtyMtvX2sE4JIZ+WOlVpDoOxU348TNfc2jrRaDVKeN6twU7h6931m1Oayo7+WSGfl4nDYCkRizS9IoznDjD0WJx0xcNisdviBvNvVz88ISDMNgKBhhc5uPqGkSM00+d3Y1nb4g8Xicv6xtY1lVFqlOG20DwbHSrpsXlJDksBKJxSlOd/Ps9m5W1PcCcM3cIoKRKJPzUojETCJRk7LMZIrSkyjNTObL503CMOGuV/bQPRzm/Km5LChPJxyNMa3Qw6TcVDKS7Pzns7uYV5aOzWKQ73XS4QsRNyFuwkPrEuv47FlVXDg9n2XVWaTs97mwGgYWi4EFgw+fVnakj5iIyClHgY/IqeW20T8/td91JlAxDmsRETlh3toZAuAPRjBNE8NI7Aw4Utizor6Hj/1+NUOhGF88t4Y7z6w+psebV5rOvSubAKgbbQbtslu5fenJ+evUYjHISHYe9bhNrYN88p41OKwWPrqsgue3JXaOPLutk7qyDNx2K6lOG4PBKLmpLj60sBzXcTZYTk92cMuisgOu+/J5k3h0fSu1+R5mFacd9Rw9QyEK09zcu2ovyU4rNXlTDwp7ING/ZnC0j8yOjkO3oBsJR3l+excel52vnD+Z7R0+uodCjISj5KS6+PH1s1jZ0Ed2ipPHNrZx5exCfr+iEQCPK/GYqS4bZ0zK4ZmtnSytzj7k4+zv2a0dPLO1k6I0NzW5KZRkJhGKxNnVNcyDa1v51qVT+cXNc9jROTQ2Nj49yU6Ky4YJnDsll6qcZHZ2DvP4xnbOmJTN5DwPVqvB5NwU+gNhQlFYWJ7OGw39VGQlUby4lCc3d3DB9Hxa+gPYrAatA0EshsH0ojTiQPtgkFSnjaGRKGua+llWnUVdaTqZyQ7ueaOZZIeVKQUePG47s4vTsNsMWgdGSN+v/DAYjbG7a4g3Gvr58KJSCrwuPC4buR4X1TnJdA+F+OWrjZw9OYeVDX04bAZzStNY39xPS18Aj8tOz+hOn6wU51ip2/KabF7c2c1Xz6vmGxdN5q+rW/jpi3u4fl4xUws8vLiji5xUBw6rhbhpMrc0nc+fkyjLe7Ohh+U12UTjJoXpGsEuInI4CnxETiGmaZaP9xpERE6GZTXZfOOiWpp6/VwxuwjDOLadOq/t7mEolCiF+e1rjdy+tBy3/ejfHl02u5CK7EQZ1PSi4xtBfiIEIzGe2NjG7m4/oWicvf0jDAUjlGS46fSFWFCe2HlTlJHEr/9hPhv2DrCwIhPvaBlaffcwqS7bQWVvnb4gf1rVjNft4Pr5xcccDs0uST/sNLG3e2ZLB3fet44ZRV7+9/pZlGQlU51z6BKwOaXpfPm8Gra3D3HjgpJDHnP3qw385zM7MQz4wdUz+PpDmwlF49x2WhlOm4XGngAfO72CqQVevn5hLVmpTpbVZDEQiHDm5ETTYZfdyn9dM5Pm/gCVo+9zLG7SO5xotlyQduCuqN+taGJFfS9T8j30B8K0DwapzU/llZ099AciPLa+jQtn5DM5z8OyqiyGQxFe2dXLc9u6uHh6HhtbfUyxerhidiEv7+wh2+OkYyBIpsPBL19ppLbAw8BImKKMJD5a6OWlHT3s7Brm/Km5vLija6w86rX6Xlx2CzfOL2Ftcx9nTM4hN9XJ/atbiMVNXq/vJcluIU7i+JFIDLvVgj8YJc/r5PGNiQlb50/N5cxJ2eR6XOzuHqaxJ8CckjQsFgPDhIum57OyoY+G3gB7ewPMK0vHH4kxFIpCCLa2+fjR87vpHgoxrzSdmxaU0NDjZyi4b7dXjsfJP5xWyt939PBmYz9XzSlkTnkGkUicq+cWYTUMdnYOsawmEVKdVrUveGv3hXlhRzfAWKNoERE5mAIfkVOIYRhJwBeAEtM0P2YYRjUwyTTNx8d5aSIix+Xd7q6pLfBgGIlx2mfV5hxT2POWwwU9PUMhntzcztY2H0urs7hwxuHLjk6UJza184UHNgJw5exC+gJhzpmSy1VziwlFYmN9aQDmlqYzd78R9U9saufO+9ZRmObid7ctoDwreey2h9e18t/P7QKgKMPN2bW5J2S9r+3uYV1zP2dOzuaZrZ2EonHebOzni+dMYmZR2mHv57JbuWBaPudPyx8LYva3ak8fbzYmqpRNE1oHRgiN7v56dluihGtv3whpyQ6+e2U6ud5EwHVaVTbDwQgPr29jOBglHI1RV5bBgorElKxAKMr/PLeT1+t72dLu4+sX1uK2W7FZDV7d3UN1Tgor9/RSm5/K30f78YQicUoz3bQOjFCelcyDa1vp8AXZU1fEjo5hXh8ti2odCDKzyEuOx8lFMwpw2y384JmdbGsfIj3JzpLqTLqGwqxqSDyva+YWsnN0FP1TWzr55kWTKUhL4q5XEhPaQtE4NouB22FjVUMP3akOrp5byKMb2jlnSjbtAyF8wShnTc6hNDOJlQ19id09VgtWi0FuqpN8r5O+QJTtnUPYrRYykh3MKk5jRX0vacmOsZKurFQHgVCMKQUeUl02BgJhrIZBUbqLeWXpBCNxwtEYGUkOXu7rZnfXMNfWFZHqsvP4xjZOq8wkMNp7qKHHT67XxefPqiYSM3lqSwcbWgYZHInw/PYurphdNPZ+RaNxrpmbCF0vfg/+/xIR+aBS4CNyavkNsAZYPPp1C/AAoMBHRE5JF00vIP12BwOBMEuqjr/nTr8/zH8+s52/rm0lEjN5YE0Lk/I9B4UTb5WcnSiJHvwJ88ozuGH+oXe/HMrm1gFicZPmvhGaev0HBD65nsQP2E6bhayUY5sydjRtAyN89PerCYRjNPcG6PQFmVrgoTonhSmFh25wPRAI0zR67FvNsn9w9XRe2d2DacJHllRQnpXEq/XdtA0EWVKVRYHXxTm1uTy4ppXm/gDXzyvmpy8kxrFXZCUdcP7hYISf/H03P385EZqcXpPN71Y08dwXTsfjtrOtfZDhUJTNbYkysic3tROMxugeCtM1FMJqMbh5QQkdviDTCr3E4iZTCzx0DwX53pXTufNP6wFYVp1FY0+AUDTGjfOL+fv2buKmSXNfgI7BIJFYDNOEnZ2JQKc/EKE6N5XBkf6xtSY7bUwr8LC5zcdNC0r469o2vG47tfmppCc5KMtMImaabNg7SHaqg9kl6XQOBSnPSmZPd4DmvgD9gQhb231cNjOfiqwk2n1BhgIRvnB2NcFonKbeYbqHIqxrHgDgloWl3HF6BXu6/axvGeDiGXns6Q4wvTCNdU39FHqdNPaNcFpFJi/s6KahZ4QnNiV2C33h7GpuW1JGcUYSb+zpY3JOKv5IjDMmZbOivo9AOMr184oZDEYo9Lp5YlMH19YV0eULcsmMfPb0+FlUkUH6aJPpnZ0+vvSXDcRNuGlBCZkpRy91FBE5VSnwETm1VJqmeZ1hGDcAmKY5YpzInzhERD6AFleemObKAG2DI+zu8mO3WojEYtitBnbLvibLvf4Q33tiO2ub+/nKeZM5b1reCXncC6cXEDchZppc+g53PFw4PZ8uX5jCdDfz3jaJ6tKZBRSkuUh22phacGJK16wWA7fdSiAcw2IxeGVXD+lJdi6anj/W32Z/I+Eon/vzel7c0c2lMwsIxxI7WB7f2DG2aycSM0l2WNnT48c3EqGx188Pr53FlAIvD33qtNHytiTOmJRDnz/MvPIDn+dD61rZ2r6vJ5BpmjhtFra1D7KgIovNbT5e3NHNospMdncOU5WTwpNbOphZlEbXUIjK7GQykx30+8M8vSuxpumFXjp8IfoDEZw2C6FonNLMJO5dtZdY3GROSRqlGS6e29bF6TXZvLa7m4xkB9mpTs6uzWXD3gHmlqbT2OOnrjSNonQXyQ4bvkCErBQnty8u4/WGXra2DwFgsxpMy/ewq3uYQDjG9o7E9VU5Kdhtid07mCbXzitmdWM/FdnJpNosbOv2s6K+l4um5/PCjm5WN/WzuDKD9CQHHreNNLedJKeVD/16FcXpSdTme2juC3D5zHx2dg+T5LSyvmWIF3Z0saQqi7mlaQSjMSwGWIxEX6G/rGnlvlXN7OgcZmRaLk9u6WRhRSZNfYnJW6FojOwUJ+2DI/xtUwdTCjz86+XTufGXbxCNm8TiJpkpTm5cUEqq006e10XbQJA8j/r3iIgciQIfkVNL2DAMN4lGzRiGUQmExndJIiL77OocIslhpTA96egHvw9VZCVTmZNCisuG12XnijmFlGTuey6v7erlgdHpR997ajvnTMnFcoyTwY7E7bByTV3xO77fQCDMT16o58UdXfzHFdNJdh74raHFYjC/PPO417e/XI+Luz9cx+bWQRZWZDK3NJ1+f5gr5x56lHZ/IMJLOxP9WoKRGHkeJxaLgd2273ULR+M8tbmDcCzO1HwPNy4o4cUdXfQHwty0oJSM0d0hU94WWm1v9/G3Te1YDfC6bdy0oBirxYKFRGnUq7t7WVCRxeBIhPRkB06rwWfOqiQQivGZM6qwWiwkOazs6fazvXOInZ3DLK3KYnJ+Kk9tbic9xcHvVjRSV5ZORpKDgUCErBQHnb4QVdkpXDozn6zVe9nVOcys4jR2dAyyqQUumpHHzCIPPUNBPG4nOzuHiJkm969u5dIZ+cTicXpHEiHW1vYhLAaUZSZx16sN2CwGV8wupNMXxO2wkpvqYjgYpSLLoCInhd2dw7htFlw2C1s6h1hYkUmvL0h6sp0+f5il1Vm8squHz59VTWaKg9WNfXQNBsnzuhkeLb9aXp3Ds9u7GInESHJY6fQlvpVY2dDL9fOKcditnDMll8I0F91DIV7a2c1Vc4vY0TFEqsuOacJgIMLS6iyGg1Fa+kd4s7GNq+YUUpTmpjI7hcwUB9U5KWzrGCLJYeNnL9ZzzpRc8tPc3PORBbT0jzCv7Nj6RImInKoU+IicWr4FPAUUG4bxR+A04MPjuSARkbfcv7qZr/51E6lOG7/8UN1Y/5QPErfDxr9dNo1ef4isFCf2t41QL0xzYbcaRGIms4rTTkjYczz2dA/z1OZE6c0Tm9q5cs6BoUuXL0hjb4DJ+amH3H3T7w/z59V7sQDXzismLenYyr5mFaczqzidl3d287sVjUzOS6VnKMS2dh9JNitr9vYzpzSdutIMCtLc/Ptl03hmawdLqrKozfcwvzwDr8sGGJhxk+vmFdHjD7G6sZ+MFDu/frWB2SXpPLu1k2S7lasOE4b95zM7eG5bF4YBy6qy6Q9EeHV3LxYDzp6cw+LRMr+r5xTx+u5eXtzZw/qWQcozk/G67by4s5tzp+Rw84IS3mzqxwCipsmk3BQ6BtOwWg0eXtdGfbcfgAun5XHFrEKSnFZuXFBKQ/cweR4Xk/NSicXiPLW5iz09fs6szWFHxyBzSzP567pWtrb5mJSbSmGam2e3dTGvLJ2SDDepLntiopYBff4wsdHdMLG4yTcvmsyiqmy2t/u47hdv4HHb6R4K43Za8QUjPLqhncGRCHt6Anz38mnc/oc1ACyuzOScKbmcXZtNOG7y4cVlPLS+jZ7mAeq7ErubLFbY0uajJjeV+aUZxEyT4nQ3eV4XK/f0ke91sbQmG9M0+fVriWl2TruVYDhGMBxjeU02cdPk3Ck57O7y89sVTWSnOLhhfglfu2Ay2aPNw395ax13v7qHl3f0MKXAQ3NvgOxUFxXZKWNN00VE5PAU+IicQkzTfMYwjDXAQsAAPmuaZs84L0tEBICnN3dimuALRnljT+8HMvABcNgs5HsPnOL0Vs+euWUZ3PfRhbQOjHDaCegZ9E70DIUIRmIUZezbcVSVk8IlM/L5+/YuLpl5YClYvz/Mx/6wmvV7B7l6ThHfv3rGQQHVQ+ta+d6T2xNfGHDZrMKxvj/H4vcrGtnc6iMWN/nUvWspTHMzEAizsdVHisPKbUvKmZSXyk0LS5lbls6l//sa4Vic9CQ7T3x2Kf930xwAvvjABvr9ERZVZjK7OA2XzcqzoyPps1OczClLpzxrX0Dw4o4uHlnfRlG6G7vVwDTBxMQyWuUcN+GWRaUsGv0MZntcdA0FARgcieB2WImP9k16ZmsXXz5vMvPKM/jnR7awor6XnFQnj21sp8DrYll1Fq/s7uHSmQW4rBZ+/vIephd6CEdNAuEov1/RRDRuctH0PBZVplOZk0zPcIhUl4PNLYPs7U2UPXX4gpw/LReLYeGx9a3YrAZ/397NbaeV0ecPU5Dm5sLpeQwFo2xqHaR9MMjyyXk47Va+eXEt6/cOkJXqJC/Vicdt59Xdvfx1bStXzi4kP81FdU4Ku7qGmZKfyseWVZLjcRGKxtjc6uPGeSVcPrOAu17Zw/2rW7AaBoFwjPV7B5hT7KW5L8CKPX2MRGIsqcykNCuZDy0qo9M3wq9fbaTdFyQ9yU5XLM66vQNMKfBQlZPKXS/vwTTg+roi+gMRYnFzLOwBKEpP4qzJOXhcdlw2g81tg2xp93Hl7EJSDhFAiojIgRT4iJxCDMN4FLgPeNQ0Tf94r0dEZH9La7J5fnsXDquF2SVpB90ej5usaerDBOaWZiR6krzPjYSj/Pj53fxtUxuXzizg02dWU1eWQd17vI4dnT4+8pvVdA4F+emNczh3aqJ3kMft4IfXzSIQjuF1H/gDdPdwkPV7BwF4fnsnI5Eoyc4Dj3HZ9+1gWtPYz38/t5Of3TSX5ZOObVT21AIvz23rIivZySu7e5hVnMa20d4zw+EYzX0BfvpiPZPyPAwFo4RjiYlbgyORselOAMMjEXI8Trp8QdoGE42T3wp84sTY0urDahiUZCYaUv/w2Z1sbBnEZjH4zhXTyEx2kOqy47AbzCxOoyI7mSXV2by8s4tnt3axtDqLf79iOn/b2E6+14XdaqGlL0BJhpul1dn86pUGbphXzOa2xOu1qWWQGYVetrT7OKc2l/nlGVw3r5ifvrAbiwFet4OfvLAbm8VgXnkGwXAMb5KDXn+UYCRGz3CIJzcnegFdND0fm8WgIM3Fz1/eQ1ayg1sWlfLkpg6WVmeR5LCyoyPIyj29nFmbQzAcY355BtGYyYrdPXzqvrUMB2MsqkxM++pKCfHohjY8LjvfvWIaV9cV0zscZm5pGtmpTu5dtZdgJM7tS8t5aksH33tyB7V5qfzkxtlgmpxek43DZlCZnUJhuptILEYcmFrooTDNhdtmpWcoxH8/t4PLZhVy38cX0to/QqrLyh9eb+LKOYWcNzWPSXkeeobDtA6M8KfViTLHVLf9gKC3udfPPz64mZaBET5/djX/8ujWxOfOZuHaecfemFxE5FSlwEfk1PJfwHXA9wzDWAX8GXjcNM3g+C5LRCQxCWhGoZdkp5VJeQdPa/rDG038y6NbAPjmRbV85F2MYX+vvbyzm5+9lJgM9ZMX6plVkn7AaPN+f5iXdnaRluRgWXX2CS/xisdN6ruHWd88SMvACABrmvrHAh8Au9WC12056L4VWSl86dxJPL6hjY8uKz8o7AG4YnYhDquFhl4/D6xuYSQcZ0V97zEFPp2+IF63jX+9dCqzS9KYvNHDltYBTq/JoqV/hNKMZF7Y3onVMLAaMLs4jW9cVMsrO7u5aGbB2OSzYCSG22nj6a2dVOekcP28EqYWeDEMgw5fkHjc5NP3raMwzc3dt86lLCuFZdXZbGwZ5KzaHC6bVYjLbh1b1+ziREPnkUiUr/xlIx2+EPev3strXz2TxVfs25UVjcV5YnM7n7lvPQCGYfK9K2fw6IY2JuWm8MyWDhaUpTMYjHDhjHyyU118ZGkFaW4Hjb3+0fvAJ0+vpHsoxBce2MA5U3Kw2ywMBWPYLAbRuElTn5/KrCTWtwximtA9HMYfjjGzJI01Tf1EYyaNvQEunVXAL15uAGBpdRbzStP50fO7KM1IJmaaRONxrIZBWWYSkZhJcUYSvmCULl+QwvQkanJT+dObieBlb/8Iv3h5D5HRgG175xC/X9HE/WtacVgtfPuyKcwri2KzQDhm8ufVbYRjcWrmF7OjY5htHT4Cm2Ps6hzmV7fOIxSJEYmZ/ODaWQd8Bv798mk09gzzz49sYVVjP3NL0vGHovhDUXI8LloHRtjbPzL6PsfH7neo8kIRETmYAh+RU4hpmi8BLxmGYQXOBD4K/Bo49BxcEZH3kNViMKf08E1YH9vYNnb5L2tbTmrgs7qxl3XNA0wp8B5X6ZXNdmCQYrceGOh852/b+MvaxA/Z/33dLK6YXfiuH+tQfr+iiW89toVzJudw3tRcOgeDnDf1yJPBNrcOsra5n4UVmXz6zCo+fWYVkAiv9vYFOHdq7ljZjdth4+q6Yra1+3hyUweT81LJ97pZ1dBLx2CIRZUZZKe6iMTi9A6HyE51je3M+s2rDfz85T1YDPjrJxbz9QtrCUdj+EOJHS57RidALa7Monw03Ll9aQW3v+19b+ge5uF1rQDs6hqmqTdAXVkGnzmrGoDLfvIqAK0DI3zniUT52Q+umc5FM/IpTHcfEPbsz26xUJvvocPXzaS8VFyOA99Lm9VCSXoSDquFcCxOrseF1QKpTht2q8Hc0nTaBkM8vrGdC0ansRWnJ/G5c2po6x9hbmk68biJLxghI8VBUbobm2FQnO7m9fpezp+aSxxo7gtgknjsOSVp5HtdVGYns6fbz+LKLO5fvReAwZEomckOev1hcj1O9vT4eaOhD4Dr64opzXJTlZ1C3DT52U2z+NUrjXz3ye1sbBnkytkFtA0EuGNZBVvbfezpGaYo3c2HFpWR5LAxo9DLmqbEaPhIPM5gIMIrO3swDXizsY/zp+bx5OYOzpicy7V1Rdxxz7qxKWyrG/u48961TM73MDU/lUl5HnzBKBdOzyM92cnkfC+/urWOXn+YFIeNj/zuTdY09fOj62dz5uQcvnbBZFr6A1w6M58lVVnETJPTTuBkPRGRiUyBj8gpZnRK1yUkdvrMAX43visSETk2C8szWN2Y+KFz6Unsf7Ot3ceHfv0mgXBil8WfP7aQuW8bV/6WHR0+hkMxZhWnHbLEbGlVNl+/sJbX6ntYVp19wA+qoUiMl3Z1j329q9MHnNjA58WdibKmZ7d38YePzGdJVRaGcfhdRAOBRN+etoEgM4u9PPDxxThsFja1DHLbb98c3XES4J8urD3gfrX5Hn5xyxxuuGslL+/q4YxJ2by4s5uza3P46Q1z+P7TO3izsY85JelcU1fElAIv8cTASABG2+HgsFlx2KykJzuozk3lvGn5R32O/nCMQq+L1sEgdqtBnsd5wO2fPbuGn79YT67HycqGPrqGQjT1jByxR1TvcKLs6fxpedy0sJTJeamkHGKHU5LTxhfPqcZisTAQCPHkpg5e3tXDpLxUbp5fwvM7uvjMWVUsq8k+4H4F6W4ykp186t61AHzrkik4bRYGRqLs2dmL054IP3d1DlGTk8qOLh+TslNJcdkpSHMwtcDLfz2zkxyPi6n5HrZ2+CjLTOaWRSU4rFZyPXa2tA6Tk+rEMCDX62RuaQZ3v9rA01s6uXpOIetbEuVnjb1+HtnYxqPr20lyWPneldNo7B2hrjSNV3f3cO6UPOaVp/NqfQ+LKzOpyEom3+siI9XBYxvagUQI9ORnl1Kdm0r74AhVOcmUZydTk5NC68AIVbmpvLCjm2jc5Ccv7gFgKBjhjuWJMNHjduBxJyaCvbEnEVK9saeXC6fnc8fplUf9DIiIyKEp8BE5hRiG8WdgAYlJXT8FXjRNM37ke4mIvD98YnkV1bmpxE04e8qx9Yh5N1r6R8b6w7wVcBwq8Hl5Zxe3/24N4Vicf754CrctKT/oGIfNwkeXVfDRZQfvRnLardyxrIJ/+9s20pLsLKs58c/pmrnFrN87wLQCD9vbfUwr8JCe7Dzs8XHTHCudGQnHMEeTmFg8Tmz08ltlPm8XjJj0+MNAIoSxWyysqO+jLxAeG6v+m9cbeXJLB499+jRuO62cfK+LovSksZ1dgVCUNc39FGckUTbab+dwYrE4P3lhN5tbfVw+u5DNbYmSJ7vtwB07Z07OoSonmR8+u5ORcIzTKjOpzk094JiH17XwwOoWphV6ufOsKu5fvZf/99QOAO796AKK0hONrtfv7WcgEGFxZRYrG3q5f/Ve0pMctPaN8PyORLh2ek02uzqHmFuWzhWHGTUPEAhHxy6v3ztAfbef+m4/iyoz8Yei7Owc5snNnVw2q4DsZCfBaJySZAd3LK/hjT29+IJRfMFh6krTeOLOpTyxuZ0Newdo6PXz5XMnccfplWSlOAjH4uzuHiYYjpHqsrGoMpP+QJjbl5Szp9vPlAIPPcMhSjPczC/PpK40gwunu7j6Z6+zvmUQp83Co58+jVV7+mgbDDIwEuZjyyp4YE0Ll8zIZ1vHENfMLR57TfO9br5y/mR2dg5xek024Wic+q5hVuzpTZTnWQxicROH7eCdVbX5Hj66tJyNLYNcNP3oYZ+IiByZAh+RU8tvgBtN04wd9UgRkfeZZKeNy2ad2B0whzKjyMPc0nTWNPUzOTeVusOUma3fOzDWRPiVXT2HDHyO5rYl5SytySbFaaMgzX30O7xDF83Ip2dohB//vZ5Xd/eS5LBx08LSwx6fkezkFzfPYVVjP0urs3COljvNKknn5zfNZXf3MBfPOPQP4tMKPXz/qhlsah0gFjfZ2DLA186fTJ7XzafOqOTfHt8GJKaFBcIxSjOT+YfTDgzCfvnKHv77uV2UZLh54I5F5HoO/5o8ubmd/35uFwAjkRj5XherG/uwWgxa+gMUpScxHIzw6q4ePG4bLpuV6+cXc/msAjKSHfudp40/vNHMmqZ+XqvvJdVlo3W0b4zNYpA0+hqsaern+rtWEImZfGp5JX9+cy89/jA2i8GF0/eVyRVnuLl0Zj45qUeeVnbBtDwC4SjRuElOqpO/bWonz+Nian4qj2/qYGPLXs6dkkvbwAgv7kwM1MxKcdLc62d2SRpfPm8Sm1sGuKauiNf39PCrVxoYicRYVp2FPxwjx+vC7bTx4qZ2LBaDfK+Ll3b00D0coijdTfdQiDyvmx89vwuHzeCi6fk8sKaFvf0BfnnLXGLxfTuwHFYL/3P9LF6v7+X0mmyicZNdXcP0+yN869IpnLVfXyqAGUVpzChKA+BHz+3koXWtXDA1j0A4xg+vnYkBB90HEv+Pf/2iKUd83URE5Ngp8BE5hZim+ZRhGIsNwyhjv///TdP8/fitSkTkxPEFI/xtYzt2q8FF0wtwOw7dn+VIcj1u7vrQXBq7/RRnJJFzmDHjiyoySUtqxDcS4YLpR+6LcziGYVDztt0mJ5xhoXd0583bJ3EdyrzyTOaVH1zu5A9H+b8XdrO5dZD/uGI66fuFJpB4LtfOK+baecWEo3G+fN7ksWMun11EZrKTxza2UZmTQooz8U9QOBrDYbPy6PpWVoyGLUuqsljd1MdQMEbuETrMOWxWLEZihHrMNDGJ87FlFdzwyxXYrRa+e8V0ntzcQTASp6XPT7bHyev1fbjsVqYWpo2dZ3eXn/SkxOuSnmTnpZ3dNPYGuGFeMVfOKWRWSSLw6xkKEoklQpBef4jsVCc9/jBet51kh5Xr5hVRm+chJ9XJ5+/fwF/WtvIfl08j1+siyXHwt9wpLju3Lt4XEoYicVbs6QWgYzAxSyFmmtit+3oHNfUFuPXXb/LnOxbyyeWV/Oylem7//RrOnJzDgop0ojGozk3hktFQrmsoiNVqYUV9L7u7hpmS76F7V4jyzCQ2tvpIS0q8P267jfruRCPpNU39jETifPeq6fx9exczitIoz06hPDuF+aOfi9d299DpCwGwt2/k8G8SiV1jRRlJPLYxUf5VkZ2sUEdE5D2iwEfkFGIYxh+ASmA98NYuHxNQ4CMiE8KfVjXzH6ONeSNRkxsWvLvRzZnJTjKPUPoEiWDkyc8sJRCOUZmT8q4e53B2dg7x921d1OSlcubk4yv1urauiPQkO067lbOO41z3rmzGH47x5OYObl5YwmlV2Yc91mGz4LAdGAilpzh4dEPbaAATICPZyX2rmvn4sgp+8MwOFpRnsmJtL5F4nH88fzJVR3lNK3NSuOP0CvZ0+0l22vj79m4eWtfOeVNzeXpLJ09s7uCpzR0ALKlKlHEZmJhxk3veaOSaumKcNiuXzMjHFwzzqdxKTqvK4usPbaZ7KERpZhJuh4143MRiMVhWk81nz6pid/cwW9qGWFiZQWG6m6FglOpcD7ctKWdoJMK/PLqZUDROksPKZT95jZLMJH58w2wqsg98PkPBCIbBWG+gsqwkNrcOsKl1kLNrcxgKRpmUm8KzW7s4d0oupgnbO33s7RuhvmuI/3x6By/v7CFuwnPbulhUkUl6kp1Pn1FFyugUqwum5TPgj7C2qZ8kh5UvnTeJO5ZX4nXZeK2+l8rsFMqzk2nrH2F6oZcZRV4WV2aR43GRluRgb98IkWicWNw8oEfV3NJ0vnbBZNoHRrhq7pF33X1oURl5Hhc9QyEaevzMLjl8Y3YRETmxFPiInFrqgCnmW00ZREQmmOHgvorV4VDkpD9e/kkow4rHTb758GZWNiTKkx7+5GKmj5bHvBtuh41L30EpnGmarGsewGY1xspyAC6cnsfqpn5mFXvHRqLvf5/W/hEykh0kOQ/97WWXLzjWH2g4FOUPbzQD8POX91BXmkYkFh8rkYvEj9xermcoxEd++yaNvQFKMtxUZKXQN7qLaVVDHxVZyRR4EzuzHFYLFdkpvLKziwXlWfzkxXqmFnjISLZTm+elPDuFr184lRe2d/Lk5g4+eUYl2SkOvv3YNr731A6+d+V0rp9fgtth4/ZlFfzTXzfR2OPHabMwHIqSlexgRpGHP69q5jtPbOP8aXlkJjuIxuL4QlE2t/kSa9rvNXt+WyfffHgzDpuFn944h6mFXlx2K33+CHarlee2deG2W6jOSSHHk2i8fMXsAv6yxuQfFpfT3DfCQ+taOas2l9d29TCnNI1NrT4+ubzygB5Nb5VW3XlWFS67lYz9bqvKTeWul/awp9vPR5eUs2zSgWHgYxva+OIDGwD4v5vmcOF+PXVcdusxN1POTHFyw4JSzp+ez3AwSnFG0iGPa+zxJ0a7n+wdbyIipxAFPiKnls1AHtA+3gsRETkZrptXTDgWw261cPnswzfMfb+Kx01GIlF8wQjZqU6qclIIRk5e27XhYIRXdvVQlO4mK8XJH95oIhCO8vz2Llr7R/jxDbO5eEYBAB9eXM7ySTlkJDvGSoHect+qZv7poc2cNTmH/7l+FqkuOy9s7+L1+h7OnJzDososZhZ5Oac2l57hUKLvzbQ8ntjcwfXzirlsZgGbWgeZlJtKzDS5ZPQxAV7d1cNTWzpYXJk5FjoMjERo7A0AiSbbF88o4MXRxtA1Oal86bxqJud5yUh20Dsc5vntndyysJS1zQOcXpNNY6+fN+r7+NyfNvLzW+YwoyiNT92bGCWekezgxzfMoqE3UeK0o2NobC02w2BpdRZet42Xd/XQPFrOtHxSNo9tbMcXjHL/6hYev3MJe7qHeb2+l/QkB7u7hwhFYzhtVjoGg/xhRRNto2Vbbzb2MbXQy2u7exkKRanKTqYwzUVldgo/e6me4VCU6+eXcMH0Ai6YnnhdNrUMkuK08cKOLv772plUZSfT449QV3roaXIFaQeHLLu7hvmvZ3cCkJPqPCjwGQ7tayo9HIzQ0O1ne4ePurIMslP3BUd/frOZh9e3csP8Ei6defhgMT3JQfrbPjdvWb+3n1t+tZKRSJxf3lrHGZNOXlN2EZFTiQIfkVNLFrDVMIxVQOitK03TvHT8liQicuIUprv52gW1Rz8Q2N7h4+ktHeR73Vw2qwDnIaYGvZd6hkN88+HNrNvbz5fOmcRz2zt5anMnL5WkHbKnzonwuxWN/ODpnSQ7rdy2uJz/e7EegNOqMtnbN8L6vQNjgY/FYhxUlvSW1+sTvWee395Fx2CQUDTOp+5dSyAc46nNHTz7+dPJSHaS43Hwyu5uyrOTWd3UzzVzi7h+fhGFaclU5aZyxZxESHf/m3v59L3ruLauiF+92kBjb4A/v9nM7OI08tPcVGYn8++XTePJLe1cNquQC6blke914QtGuHh6AaVZiQlfkVice1Y2ketx0dgb4MnREq+PLCljR8cwBWkuVjf2U5vnIdVlozg9iRSnje89uZ2vXzSZpt4A19QVjz3Pe95o4jtPbMdhs/Cvl07lvlXNVOekcM/KZqYUeOjwBbm2rpjJealMK/Ty8s5utrYPcferjXzktAr84SjPbOkkx+Mk3+vCYbMwvzyD13f38L2ntmOacHZtDrcuKsNiMajOTaE0I5lPLT9wN830Ii+PfXoJw+Eok/MSjY5q3vaemKbJQCCC123Hsl851lsK09wsq87ild09LDzEiPrLZhUQisaxWxOTx2761Up2d/u5rq6Y/3f1DAAGA2G+/dhWAuEYe/tGuGh6wQGlX8eqqTfAUCgRbNZ3DSvwERE5QRT4iJxavjXeCxARGS/RWBx/KIo3ycFIOMqXHtjA5lYfAFaLwVVzxndH0Lqm/rFAYkfnEC+PTmZ6eH0bnz9n0rv6QfpohoKJXRwj4RjpyYm+LxYDnFYrSQ4ry6qzjuk819YV4RtJjCsvz0pmJBKjJD2J7Z1DlGQkY7MaGIbBP104hctnFfHHlU10DYV4YE0LV8wupDBt3wj2rqEg//TQJqJxk+b+AHWl6TT2BqjKSSHZmQjlDMPg9ElZjESjpLntpLrs3LKo7KB1XTG7iF5/GIthUJuXOnpf6B4K8eruHi6Ylsfymiz6AmHKs5LJ97p4aF0bTpsFTPj3y6cfcL7+QKJMMByNk53q5KFPnsYj61tY3zLI01s6+fjSCr547qSx48+ZkkdTX4CLp+dz98v1bO0c4vX6Pooz3HzmzErmlGYyKS+Vv2/v5K1i68l5Hjp9QTa0DLCqoZ9VDf2cOyWXPO+B5YNFhymNestdL+/hv5/byUeXVvCFc2owjAM/P3arhX+5ZCpuu5WC9INLE9OSHHxsWWKKWs9wiA5fcOz9eUuKy87Vc4v4/Yomrphd+K4/o6eP9kcKhGIHlI6JiMjxUeAjcgoxTfOl8V6DiMh46B0O8Y2HN/PSzm6+cE4NV84pZHfX8Njt3UOhI9z76La3+2jo8bOgPJOMlEOXrRxNVU4qJRlumvtGKM1I4tuXTuVvm9q5Zm7xSQl7INFQN83toDwrmbOn5FKdm4rbbiXH48JmOXQp0KEsq8lhWc2+XRmpVgs/u3kuW9oHmV2Shm100lSy08a88gz84Shb2hLlQdMLvQecK9VpY05JOqsa+0hz2/nK+ZO4bl4Jk/NS8Lj3vbbff3oHj21oxzDgTx9dyKTcVNoHgxSkufCOlg6VZSWPhTbxuElJZhLhSJzP/Hk9AL3+MA29fi6dWcTkPA87O32cXpWF1Wbw4NpWavI8nF6zrzn1DfNLsFksZKc6WFKdxX2rmvn6w5upzffwmTMruWi/UjSAKQUehkNR+gMR9ptyzvzSDN5o6Mdpt1GVk8LW1kHOnZJLQZqLv21qo6EnMSUMIC3JTknmsb0Pb4nG4vzu9UaCkTi/frWB25dWHDChbWgkwmf+tI4Xd3bznSumceP8Ulr7A0TjJqWZyQedLyvFyS9uqWNNUz9n1+57n60Wg69fVMvHllaQ5z3yGHpIvAe/X9HIK7t6uGVRKctHd/KkJTn4/DmTjnJvERF5pxT4iJwCDMN41TTNJYZhDJGYyjV2E2CapnmEwbciIh98qxr6xnbPfPfJ7Vw6q4B/u2wa//63bUwt8HDe1Nx3fe7GHj83/PIN+gMRbphfwnevnH7E4yOxOH9ZvTdRBmXAp86oYnKeh/LsZP7yicX0+8NU56RisRgHlBO9U/3+MA09w5RnpRw0Qv0tBWlu7tivXGhp9eEnb70ToUiMjBQ7G/YOcN+qZj53djXzyvaVDS2flENFVjLBaJzUt42Kdzts/Oj6WWxoGWBSnofyrGRqDjGf3Te628Y0odMX5C9rWhJjxAs9LKnOJhiNcfGMgrEAw2IxxiaLfe38yTy+qZ1oLM7apkGum1fKty6dSigSY1u7j8v/73UA/rax7YDApzgjiS+cu694alPrIADb2n3859UzqMo5sOGw122jJCOJp7d0AvBvl07jmrnF3P1qA5vbfPxtYzvTC73857O7Ro+3UzjaCNxpt/Cnjy0kJ9V52FK6w7FZLdx5VhU/faGeDy8uOyDsAWj3BXlhR6Ln0Rv1fUwr8PKhX69iJBzj7lvnseQQO7tOq8ritKqDr3farEfdbfSWloEA33psK5AYOb9cpVsiIieVAh+RU4BpmktG/zwpoy8Mwzgf+BFgBX5lmub33na7MXr7hUAA+LBpmmtPxlpERA6lJCMJl91CMBJnXlk6Hqeda+qKuWB6Hi6bdWwHyrvR6w+PlfrsaPcd9fjX63t4fFM7r+1O9L3JTXXxjYunAJCT6iIn9cg7JZp7/fzo+V009gT4+OkVnDs176Bj/KEoX7h/PS/s6Ob06ix+cvMcUp32g44bDkUIhGLkeA5+zPruYWwW45A7Po5kRX0PX/nLRuaXZfDXda0AVGWnHBD4bG4d5Oa7VzIcjPLzm+dw9pQDn0N+mvuoE9C+eN4kyrOTKc9KAUwGRyJEYnEyU538z3O7GApF2dk5zI+un33QfS+ZVcCeHj/b2n1cNGNfCZHTbqUiO5lzp+Ty0s5ulowGYAOBMFvbfdTkpJK1X8Pia+uKicTiTMn3MCnv4H9iPW4HxWlultdkEzdNApEItywupb7bz+Y2H2fX5pDmtrGkMotX63uYX57OnJJ0llRncV1dMZVHGU1/JDfML+W6upJD9u8pz0rma+dPZkV9D9fMLaK+a5iBtz7Dnb5DBj4nQmayk/Om5vL0ls5jLhcUEZF3T4GPiBwXwzCswE+Bc4AW4E3DMB41TXPrfoddAFSP/rcA+NnonyIi74mphV7+/PFFNHT7mV+WgcuR6AWTcogQ5J2aWeTlny+ewubWQa6uO3ofoFSnHYdtX8CUP1oK88SmdtY293NObS4LDtFE9y33r27hr2sTQcpn/7SeV75yxgEhBCRK1N7awfHSrh56fCFSsw98rs29fj593zq2tvn4wTUzuWL2vglLT2xq5zP3rcNmNfjlLXUsrTn2nT9/29jO3v4R3I5BZhR62NYxNPZ8hoMRHt3QRvdQaCxgeHV3D79+rZEb5pdwycyCI536AG+NHF9R38N/Pb0Dh83KnNJ0+v1hbNZEyHG4UjiPy87Sqkx2dPj47euNvLSzmzvPrCItyYHH7eDHN8yma3CEFQ19vLa7h4fXtfLAmhZOr87mP6+dgc1qIT3JwZzSdOaUph9xnTX5qfzqtUYACrwu9vYFuPOsKi6emc9QMMI9K/dy9pRc3E4LNbmp/MNp5bjsJ6aB+NvDnr7hMN99cht7uv18/aLasd1dvcMhPrasgmA4dsgA8URJdtr44bWz6B4KUpLxzoJEERF55xT4iMjxmg/sNk1zD4BhGH8CLgP2D3wuA35vmqYJvGEYRpphGPmmaWo8vIi8Z2YWpTGzKO2En9dmtXDbkvJjPn5OaTofX1bJsuosMpKcnDctj21tg3z63rXEzUTY8sznlx02jNr/R3jDeNsVowrT3Xzi9Ep+83oDH1pURmF6EsFIjF++soctrT5uWVhK93CIjS2JkqRH1rceEPi8vruHaNwkGjdZ2dD3jgKfGUVpsLKZpt4Av/5wHVXZqeSOhloPrWvlm49soSQjiZsWlGA1DNbvHWD93kFa+gNcND3/kDtS3q61fwS3w8r2Dh9f/etGclNddPiC1OZ7SE92cKHXRYrTzocO0cj5La/W9xIz4e/buwCYU5I21oPHZbfyyIZ2/uvZnRSmuUhxjn7LbJhc9pPXiMVN7vpQHTOL0464zljcJLZf8544BtvafRRn5DEpN5XLfvoaG1sGyUpx8NRnl5J1lN1dx2tjywAPrGkB4LltHWNhVWaKk3+68Nim2x2vZKeNZOe737kkIiLHToGPiByvQmDvfl+3cPDunUMdUwgo8BGR91wsbvLXtS3s6hzivKl51JVlvOdrWFiRecAobLvNis1iIRyLk2S3YTEOH3pcO6+YzqEgDT1+Pr6sgqwU50HH2K0WvnL+JD5+egUeV2Is94r6Hv7rmZ0A+IIRvn3pVIrS3LQMjHDm23qpLK3OoqnPj4lBbf7hq4FX7unlqS0dnFaZxdlTEn2QrqkroiY3BbvNoDAtibSkff2DYvHEn819AWpyU7lpQQnffmwL6/cOcvnsoqOGPS/t7Oax9a08vL6NonQ3l80qZG/fCHv7RlhUmcn0Ii95XhdzS9IpPkpfmbMm59DlC2K3GnhddiqzU3h5ZxfPbOlkWU02b70Fnb4QX7uulnXN/Xjcdl4anZ62Ye/AEQOfWNzk/z21nS0t/Zw3NZeRcAx/KMKP/76Lc6bkYhgGRelJbGwZpDQj6YTsNjuamrxU5pams7NziAXlh99FJiIiE4MCHxE5Xof67tx8F8dgGMbHgI8BlJSUHP/KREQO4dVd3XzlLxsBeGpzB098dimprpP/w/aRVOWk8Ktb57KxZZDTa3JIchz+W7TijCS+f/XMsa8jsTi/ebWBlQ193LSghDNrE8GLYRgHhC25HheZyQ56/WGmFniozk3lr59cxEAgQk3ugaHO5HwPG/cOMhiM4rRaeGNPH/leJx9eXE6Sc9/avvvkNtbvHeRPq/by2tfOICPZiWEYpLhs3PGHNfQHIvz8ljlj/XuunFNIfHT++BWzC7FZLXzj4il8fFnlMU15emJjO62DQaJxk8beAG67hZxUB5XZKVw2I5/LZhfiPsJr5xuJ8POX6tneMcTNC0v5wdUz+cxZ1SQ5bOR6XHzyj2vZ0+Pn0Q1tPP25ZWSnOinwullak80lMwt4bmsHS6oysVosLDlEA+MDHyvMb19rJByLc96UXPK9LlY29DG/LGNsRPq3LpnC5bMKqC3wjJUZniyPbWjjvlXN3LyghOWTcg7byFtERCYOBT4icrxagP3HyBQBbe/iGEzTvAu4C6Curu6gQEhE5ESIvLXNBAiEY5jvk79t3j7a/FhtaRvkP57cDiR2zpwxOWcsUNhfRXYKf/rYQlr6A9SVJ3Y15Xrc5HoObo48MBJhMBgFIBiN8Yc3moDE6Pj9e7xMLfSyfu8gs0rSSLLv+7Zyc6uP3d1+ANY0DowFPh63/aDyt3cy5WlZTRaPbWgjxWmjIjuZC6blc8uiUsLROF6346g7hF7Y0cX/vVgPJF63F760/IDJWvPLM9jT42dRZRZZqU6um3fgLx8eWd/G2uYBDCDOkaUlOfjMWVU8sKYFi8UgxWnlO1dMY2rBvjH0OR7XSe2Z85a3dhu19I+wrnmAFf945kl/TBERGX8KfETkeL0JVBuGUQ60AtcDN77tmEeBT4/291kADKp/j4iMl6U12Xzjolp2dgxxycwCPO7x3d1zvLJTXWOlWXNL0w8Z9rylOjeV6tyjD2ycVuDlGxfV8sKOLmYWeXltdy9Om4Vcr4tOX5BNrYNMK/Dw1fMmc/H0fKpyUg7YobKgPINLZuTjC0ZYPvnY+v/0DAcJReMUpu0Lf3Z3DfGLl/Zgsxh8/PQKLppRwKLKTGJxkxSnDbvVwk9f2M2vXmng3Kl5/MsltXjcB+9cebOxl77hMF6XnbQkOwOBCAVeFzbLvubZpmlSV5aO121nSr6Hn/59N8tqsg9oyjynJJ3HNrazqCKD7JQj75AxDINPnVFFQZqLNxv6uWhG4VEbPJ8sVovBFbML+d+/7+bquYXjvqNNRETeG4b5fvm1loh8YBmGcSHwPyTGsv/aNM3vGIZxB4Bpmj8fHcv+E+B8EmPZ/8E0zdVHOmddXZ25evURDxERkVENPX6aevzMLknDm3RiS3UisTirGvpIS7JTm+fho79fzfPbu1hancWvPzwP+3GMtH/L1rZBbvvtavoDYX5+81zOmJzY6fQff9vKXa80AHDnmVV88dxJB9xvR4eP8/7nlbGvf/mhOs4Z7SX0lhX1Pdx89ypicZMzJuXgdduozU/l9Ek5TM7zjB3X0D3MmT98ieqcFHwjETp8IWrzUnnsziXYRp9jLG6yp3uYnFTnAa9zU6+fDS2DzCryUrLfGPtoLM5f1rTQ6Qty9dwiCtOPbSfTyRCNxekYDJLtceK0ndzysVORYRhrTNOsG+91iIjsTzt8ROS4mab5BPDE2677+X6XTeBT7/W6REROFeVZyZRnnZwx13arhdNG+9WEo3EaewMANHT7icbiJybwaffR4QsCsLa5nxSXlb19Iwfsvso4RM+ZtCQ7BWku2gaCOKwW8jwHN7DuGAyOTcoKx2I8vL6Ljy9bckDYA5Ce7GBOSTptAyPkeV10+EIUprtp6B6mqW+EBZUZpDrtB+2QCoZjfPZP61i/d5A5JWnce/vCsd1Obzb287UHNwEQM+EL59Qcx6t0fGxWyzGXzomIyMSgwEdEREREjonDZuF7V07npZ3dLKnOOmKD5HdiYUUm59Tm0OsPM63Ay02/XEU4FufTyyv53lXTsRkGF07PB2B31zCv7e5hTmk60wu9/PKWOlY29FGbn8r0orSDzn3m5Bw+ubySHR1DDIxEmFOSRp734L5FaUkOfnHLXNoHRvC47OzoHCLX4+Tau96gPxA55A4jgHAsTtNoCNbU6ycSi+MiEfikJ9tJdlrxh2Ik2S38++NbmZSXwlVzio9p/LyIiMjxUOAjIiIiIkcVCEX57esNdPpC3LKojKqclBN27qL0JH556zxM0+S1+h7Co421G/sCfOn8yQcc++3HtvDKrh6K09088ZmlTC30MrXQe6jTMjQSAcPgK+dPpssXZGfnENW5qYedUJWV4hwbc1+alcy65n76AxEAWvtHDnkfj9vOj2+Yzcs7u1lWk03qfruSJud5+Msdi+n1h3hqUzv3rNwLQHVOKrNKxqefj4iInDoU+IiIiIjIUb1W38P3n94JgNNm4Z8umnLCH8MwDOaXZfIvl0yhocfPNXOLDzrGOrozxm61YByhmmxr2yCf/ONa/OEYNy0owWLALQvL3tE48hlFafzHFdPY1TnMVXMLD3vc0upsllYfujl1bX6idOz13b0AeF22D3yjcBER+WBQ4CMiIiIiR5XnceG0WQhF4xSfxF4wDpuFfzit/LC3f+uSKayY2ses4jRSnIcPTtY29Y/1G1rZ0MeK+l7SkxzcsqjsmNditRjcuKAUgI7BEX724m4shkFVTgoPrm2lMjuZT59ZjcN29D5Gnzi9kumFXkoyk6jIPnG7o0RERA5HgY+IiIiIHNFQKII3yc5fP7GIjS2DZCY7CEZiuOzv3bSnTS2DvLCjk9nF6dwwv+Sox88rz2BqgQdfMDJ2XbLj3a/34XUtvLSzh1UNfSyryebFHd0AVOYkc9msoqPeP9Vt54LRPkQiIiLvBQU+IiIiInJYff4wd967ltfqe/nKeTVjZV3fvWI6Nyw4evByIoSiMb7y141sa/fhtFl45vPLKM088lSySXkeHvzEYgYCYZ7Z2snVcwq5cEbBu15DqtPOrs5h4iZjQVd2ihPXIUacr27s46F1rUwv9HLdvGIM471r0Nzc6+dnL9bjtFv45PIqcjyu9+yxRUTk/UWBj4iIiIgcVnOvn9fqE/1n9vT4x64fCkUOd5cTzsDgraIpiwUsxxigOO1Wcr3ud1TG9RZfMMJdL+2hfWCE25aWc9HMAvqDETa1DHLh1FxmFaeRlezgrNrcg+770xfqeWFHF5DoAzSlwHPQMSfLc9s6ue/NRHPoaYVerj5EHyQRETk1KPARERER+QDwjYR5cF0rsZjJ5bMLyRydJnWy1eSmcuviMv6+rZOza3OZXuhlJBLnqjlHL2M6URw2C//v6hm8vLObmcVpJ7WH0FveqO/lJy/sBsCbZOefL5nKp8+oPqb7VuUk88IOKExzk5703jZori3wkuSw4rZbmZT73gVNIiLy/qPAR0REROQD4N5Ve/nek9sBGByJ8IVzJ70nj5vktPHtS6fyzYtqsVkT+2wCoSg9/hDemH3supNtWqGXaYcZv34ylGQmkZZkZyAQoSY39R3d986zqllcmUlZZgr5ae6TtMJDW1SRybOfX4bNYiHXq3IuEZFTmQIfERERkQ+AgUB43+WR966c6i1vBTtDoQhfun8DT2/p5M4zq/jiexQ87W8kHOU3rzXSOjDCjQtKmFpw4oOgyXkeHvrkYgYCEWYWpb2j+3pcds6YfHCp13ulMP3k74ASEZH3PwU+IiIiIh8A18wtpnsoRDhmHtOUqpOlpTfA01s6AfjjymY+sbySJMeJ+ZbSNE1WN/WBCXVlGYdtdvzq7h6+//QOAGJxk+9dNeOEPP7blWdpfLqIiHxwKfARERER+QCozEnhv66dddLOv6d7mF2dw8wuSTviZKfSzGSunlvEw+ta+fiy8hMW9gA8sr6Vz/15AwA/vHYmVx6mT1BGshObxSAaN8n1vDe9jERERD5oFPiIiIiInOK6hoLc9ts3aewNcHZtDr+4pQ6r5dC7a5KcNr575XS+dsFkMpMdJ3Qd29qHxi5vbfNx5ZxDHze3NJ0/fWwhnb4gS2uyT+ga3olH17fxZmMfF83IZ2FF5ritQ0RE5FAU+IiIiIic4gYDERp7AwBsaBkgFI1hmvDYxjaS7FYunJ5/QHNmu9VC1kmYEnbOlFye2NQBmJw39cg9cOrKMk74478TTb1+Pn//emJxk3V7+3n8zqXjuh4REZG3U+AjIiIicoqryknhP66cxhv1fVw6M5+RcIyntnTw9Yc2A4ldPWfXnpgmxNFYnG3tPnI9roNKx+rKMnjqc0swgRTnezvO/J1Kddooy0yivtv/jqd4iYiIvBcU+IiIiIic4gzD4Mb5peR73Hzq3rUk2a18+szqsdsdJ3D0+u9XNPGvj2+lNj+VP9y2gKzUA3cKJb/Pgp5gJEbHYJCCNDcO277XISPFyd0fnseuziHmlKaP4wpFREQOTYGPiIiIyATWMxSifTBITV4KTpv1iMc+v62TQDhGIByjayjI/900B7fdytLqrBO2nu0dPiDRr6dnOHRQ4PN+Eo3F+dfHt3Dvyr186oxKvnze5ANuL8tMpiwzeZxWJyIicmQKfEREREQmqE5fkNt/t5pNrYN8+owqvnTepCMeP6c0nT+uasZqGMwpSePsKXknfE03LijBbrUwJd/zvi+F8oeiPLyuDYBH1rfxhXMmHbaZtYiIyPuNAh8RERGRCWpvX4BNrYMAPLm5/aiBz5VziqjOScFmtVCb7zkpa5pVnM6s4g9GCZQ3ycG3L53KE5s6uKauSGGPiIh8oCjwEREREZmgpuR7+NCiUp7b1smd+/XkOZLpRWknd1EfMNfUFXNNXfF4L0NEROQdM0zTHO81iIgcpK6uzly9evV4L0NEZEKIxOLYT2DjZRE5kGEYa0zTrBvvdYiI7E//8ouIiIhMcAp7RERETj36119EREREJpxQNEbPUGi8lyEiIjJuFPiIiIiIyIQyEAjzmfvWsfC7z3PPG43jvRwREZFxocBHRERERCaUXV3DPL2lk2jc5PcrmsZ7OSIiIuNCgY+IiIiITCgV2cksqcwC4FpN2BIRkVOUxrKLiIiIyISSmezk5x+aQ78/QmGa+4DborE4MdPEabOO0+pERETeGwp8RERERGTCSXHaSXHaD7iuqcfPl/+ygcGRCP95zUymF6WNz+JERETeAwp8RERE5JT3wvYuVtT3MqPIy8UzC8Z7OXKSrG3uZ1VjPwAr6nuPGvjE4iYGYLEYJ39xIiIiJ5gCHxERETml7eoc4o571hCKxjEMyPE4mV+eOd7LkpNgdkka88vSGRyJsKgq64jHbmv38fWHNmG1GHzniunU5Ka+R6sUERE5MRT4iIiIyCnNH4oSisYBME3wjUTHeUVyspRlpfDHjy4kfgw9fF7e2c3a5gEAXtvdo8BHREQ+cDSlS0RERE5p0wq9fPncGorS3XxkSRmLK7W7ZyKzWy3H1LB5TmkaaUl2MpMdzCpOO/kLExEROcEM0zTHew0iIgepq6szV69ePd7LEJFTSDQWx2bV78Jkn66hIBYDslJc470UeZ8zDGONaZp1470OEZH9qaRLREREBBT2yEFyUhX0iIjIB5e+sxERERERERERmWAU+IiIiIiIiIiITDAKfEREREREREREJhgFPiIiIiIiIiIiE4wCHxERERERERGRCUaBj4iIiExo0VictU39NPT4x3spIiIiIu8ZBT4iIiIyof3u9Uau/NnrXP6TV9nUMjjeyxERERF5TyjwERERkQntzcZ+AAaDUXZ0+sZ5NcdvfXM/d71Uz4a9A+O9FBEREXkfs433AkREREROpqvmFvJmUx+T8zwsrMgc7+Uclz5/iI/9YTVdQ2EK0lw8+dlleN328V6WiIiIvA8p8BEREZEJ7ZwpeSyuzMRhs2K3frA3N8dNCEbiAIQiceJx86Bj2gZGWLmnl0l5qUwp8L7XSxQREZH3CQU+IiIiMuElOyfGLpisFCe/uGUur9f3sqQqi/RkxwG3m6bJNx/ezPPbu8hKdvDIp0+jMD1pnFYrIiIi40mBj4iIiMgHyKLKLBZVZh3ytmjcpKFnGIDeQJihYPS9XJqIiIi8jyjwEREREZkg7FYL/3bZdB7f1MbcknQm53vGe0kiIiIyThT4iIiIiEwgp1VncVr1oXcAiYiIyKnjg925UEREREREREREDqLAR0RERERERERkglHgIyIiIiIiIiIywSjwERERERERERGZYBT4iIiIiIiIiIhMMAp8REREREREREQmGAU+IiIiIiIiIiITjAIfEREREREREZEJRoGPiIiIiIiIiMgEo8BHRN41wzAyDMN41jCMXaN/ph/imGLDMF4wDGObYRhbDMP47HisVURERERE5FSiwEdEjsfXgOdN06wGnh/9+u2iwBdN06wFFgKfMgxjynu4RhERERERkVOOAh8ROR6XAb8bvfw74PK3H2CaZrtpmmtHLw8B24DC92qBIiJyfBp7/Ty3tZOBQPiA6+Nxkyc2tfOHFY30+cOHubeIiIiMF9t4L0BEPtByTdNsh0SwYxhGzpEONgyjDJgNrDzM7R8DPgZQUlJyYlcqIiLvWH8gzO2/fZPd3X5uO62Mf75k6thtr+zu4ZN/XAuALxjlU2dUjdcyRURE5BAU+IjIERmG8RyQd4ibvv4Oz5MC/BX4nGmavkMdY5rmXcBdAHV1deY7XKqIiJxgwXCMvf0jAHQMBg+4zdjvsmnqr2wREZH3GwU+InJEpmmefbjbDMPoNAwjf3R3Tz7QdZjj7CTCnj+apvngSVqqiIicYPlpbn5+81zWNvdzwbT8A25bUpXFT26cTZ8/zMUzCsZphSIiInI4CnxE5Hg8CtwKfG/0z0fefoBhGAZwN7DNNM0fvrfLExH5YPOHoty/uplYHK6tK8bjtr/nazhjcg5nTD64YtdiMSZ00NM2MMJru3uYVuilNt8z3ssRERF5xxT4iMjx+B5wv2EYHwGagWsADMMoAH5lmuaFwGnALcAmwzDWj97vn0zTfGIc1isi8oHyzJZOvv3YNgBSXDaun6f+Zu+V/3pmB39d20pBmou/3bmU9GTHeC9JRETkHVHgIyLvmmmavcBZh7i+Dbhw9PKrHNjqQUREjlFGih1j9G/QTAUO76mRSCzxZzhGXD2KRETkA0iBj4iIiMj71Ok1Odz/8UXE4ybzyzPGezmnlC+dO4m60nRmFKWRmeIc7+WIiIi8Ywp8RERERN7H5pUp6BkPFdkpVGSnjPcyRERE3jXLeC9AREREREREREROLAU+IiIiIiIiIiITjAIfEREREREREZEJRoGPiIiIiIiIiMgEo8BHRERERERERGSCUeAjIiIiIiIiIjLBKPAREREREREREZlgFPiIiIiIiIiIiEwwCnxERERERERERCYYBT4iIiIiIiIiIhOMAh8RERERERERkQlGgY+IiIiIiIiIyASjwEdEREREREREZIJR4CMiIiIiIiIiMsEo8BERERERERERmWAU+IiIiIiIiIiITDAKfEREREREREREJhgFPiIiIiIiIiIiE4wCHxERERERERGRCUaBj4iIiIiIiIjIBKPAR0RERERERERkglHgIyIiIiIiIiIywSjwERERERERERGZYGzjvQARERERkROpvmuYe1c1k5Xi5EOLSkl26lteERE59ehfPxERERGZUO5d1cTdrzYCUJTu5pKZBeO7IBERkXGgki4RERERmVDSkxwAGAZ43fZxXo2IiMj40A4fERERERk3/lCU37zWwEAgwq2LyyjOSDruc956WhnF6UlkJjuYVuQlHjexWIzjOqdpmhjG8Z1DRETkvaQdPiIiIiIybl6v7+E/n9nJr15t4JH1bSfknKlOOxfPLGBVUz8Lv/s83396B5FY/F2dq88f5ov3r+fCH7/CqobeE7I+ERGR94ICHxEREREZN4VpbrwuGxYDKrKTT9h5e4dD/OTvuwhG4vz8pXq6fMF3dZ4tbYP8dW0r29qHeG5r1wlbn4iIyMmmki4RERERGTdTCrw88ukl+MNRphZ4T9h505MdXDevmPtW7eWK2YVkpjjf1XlqclM5rTKTzW2DLK7KPGHrExEROdkM0zTHew0iIgepq6szV69ePd7LEBGRD7BgJEbbwAj5Xhdux7v/PWcwEiMcjeNRA2g5DMMw1pimWTfe6xAR2Z92+IiIiIjIhOSyW6nITjkh53HZrSdgRSIiIu8d9fAREREREREREZlgFPiIiIiIiIiIiEwwCnxERERERERERCYYBT4iIiIiIiIiIhOMAh8RERERERERkQlGgY+IiIiIiIiIyASjwEdEREREREREZIJR4CMiIiIiIiIiMsEo8BERERERERERmWAU+IiIiIiIiIiITDAKfEREREREREREJhgFPiIiIiIiIiIiE4wCHxERERERERGRCUaBj4iIiIiIiIjIBKPAR0RERERERERkglHgIyIiIiIiIiIywSjwERERERERERGZYBT4iIiIiIiIiIhMMAp8REREREREREQmGAU+IiIiIiIiIiITjAIfEREREREREZEJRoGPiIiIiIiIiMgEo8BHRN41wzAyDMN41jCMXaN/ph/hWKthGOsMw3j8vVyjiIiIiIjIqUiBj4gcj68Bz5umWQ08P/r14XwW2PaerEpEREREROQUp8BHRI7HZcDvRi//Drj8UAcZhlEEXAT86r1ZloiIiIiIyKlNgY+IHI9c0zTbAUb/zDnMcf8DfAWIv0frEhEREREROaXZxnsBIvL+ZhjGc0DeIW76+jHe/2KgyzTNNYZhLD/KsR8DPgZQUlLyzhYqIiIiIiIiYxT4iMgRmaZ59uFuMwyj0zCMfNM02w3DyAe6DnHYacClhmFcCLgAj2EY95imefMhHusu4C6Auro688Q8AxERERERkVOPSrpE5Hg8Ctw6evlW4JG3H2Ca5j+apllkmmYZcD3w90OFPSIiIiIiInLiKPARkePxPeAcwzB2AeeMfo1hGAWGYTwxrisTERERERE5hamkS0TeNdM0e4GzDnF9G3DhIa5/EXjxpC9MRERERETkFKcdPiIiIiIiIiIiE4wCHxERERERERGRCUaBj4iIiIiIiIjIBKPAR0RERERERERkglHgIyIiIiIiIiIywSjwERERERERERGZYBT4iIiIiIiIiIhMMAp8REREREREREQmGAU+IiIiIiIiIiITjAIfEREREREREZEJRoGPiIiIiIiIiMgEo8BHRERERERERGSCUeAjIiIiIiIiIjLBKPAREREREREREZlgFPiIiIiIiIiIiEwwCnxERERERERERCYYBT4iIiIiIiIiIhOMAh8RERERERERkQlGgY+IiIiIiIiIyASjwEdEREREREREZIJR4CMiIiIiIiIiMsEo8BERERERERERmWAU+IiIiIiIiIiITDAKfEREREREREREJhgFPiIiIiIiIiIiE4wCHxERERERERGRCUaBj4iIiIiIiIjIBKPAR0RERERERERkglHgIyIiIiLvS/5QhMGRyHgvQ0RE5ANJgY+IiIiIvO/s6R7m6p+t4JwfvsSbDX3jvRwREZEPHAU+IiIiIvK+s7nVx7aOIbqGQrzZpMBHRETknbKN9wJERERERN5uXlk6F07Po88fZnlNzngvR0RE5ANHgY+IiIiIvO/kp7n5v5vmjvcyREREPrBU0iUiIiIiIiIiMsEo8BERERERERERmWAU+IiIiIiIiIiITDAKfEREREREREREJhgFPiIiIiIiIiIiE4wCHxERERERERGRCUaBj4iIiIiIiIjIBKPAR0RERERERERkglHgIyIiIiIiIiIywSjwERERERERERGZYBT4iIiIiIiIiIhMMAp8REREREREREQmGAU+IiIiIiIiIiITjAIfEREREREREZEJRoGPiIiI/P/27j/asrKu4/j7MwkjPwpDWYTRaOYgatQoI0WQUctA0jB/lD8oZazMTJHKzMqVqctCaaWiBFI4pIugAq0BxNCpURETxuSXgprG4G+tEBpTE/j2x943Dodzzj1n7rn3zNn3/Vrrrrvvdz/Ps5/97GfOnP2sZz9bkiRJHeOAjyRJkiRJUsc44CNJkiRJktQxDvhIkiRJkiR1jAM+kiRJkiRJHeOAjyRJkiRJUsc44CNJkiRJktQxDvhIkiRJkiR1TKpq1nWQpHtJ8lVgB7AfcNsiyRdLM2r/A4D/mLiCszdOu+yux1pKeZPmHTf9cvezeTavfW219rN5/UxbB9wyh8daSlmT5t0P2IPxru84ZS+WZtT+Yf1skviuxpby93J+nj2oqg5YprIlaZc44CNpt5bk7Kp63lLSjNqfZHtVbVxqPVfaOO2yux5rKeVNmnfc9Mvdz+bZvPa11drP5vgz7asrdbM8zWMtpaxJ8yY5G3j0ONd3nLIXSzNq/7B+Nkl8V2NL+burn9OSNIyPdEna3V08hTTjlDFvVvKcpn2spZQ3ad5x09vPhpvXvmY/my9fm9NjLaWsSfNOcu3HKXuxNOOUMW+6+u9HkgZywEfSbq2qFv1ytliaccqYNyt5TtM+1lLKmzTvuOntZ8PNa1+zn82dlXwccprHWkpZE+Wd8NqPU/ZiaTr3iGqH//1I0kAO+Eha7c6edQUkaYrm9TNtJes9zWMtpaxdyTtunnHSLZZm1P5h+yaJ72psqX9L0qrhGj6SJEmSJEkd4wwfSZIkSZKkjnHAR5IkSZIkqWMc8JEkSZIkSeoYB3wkSZIkSZI65j6zroAkSZImk+SngV8Azqiqa5I8r6p8G5GmKsnzgcOBrcAvApdW1ZmTxIEaJ1ZVZ67kuUnSauCAj6RVIcmzgBOAO4EAF1fV+bOtlSTtshcAm4CXJ9kf2DDb6qijfgp4OvCBqjo6yVm7EN9/zJgkacp8pEvSavETVfWMqjqxqp4FHD3rCknSEny1qr5WVS8BjgUeM+sKqZP+s6oKeG3797d2IT5uTJI0Zc7wkbRarE3yBOCzwPcBe824PpK0FJcubFTVy5K8aJaVUWe9EaCqLm7/vmjC+DuALw9I+5Uh+SVJU5RmcF2Sui3J3sBTgINpBn3eUVXfmG2tJEna/SU5FHgS8L006+98AdjSbt8rXlU3jlnG9cBh4+SXJE3OAR9Jq0qSh9N84XwgfrmUNOeG3Yj7maZpSfK7wDOBC4DPteGDgZPb7dP74s+gWYz5K9zdL9cD3w/8VU/aE4FjgG3AeX35L6iqU5fjfCRpNXHAR9KqkeSl3P2l9fNt2C+XkubSiBtxP9M0NUk+CTyyqr49IJ6qWt8X/33gFe3PQr98Pc3/u//fL9v8G4Bre8tIsifwsf5yJUmTc8BH0qox4kurXy4lzR0/07QSktwEHFdVO/ri/0ZzL/EDffHPAN+uqof1lfFE4LKFftnGngts7kv7IODy3pgkade4aLOk1eQumke5dvTFD2r3SdI88TNNK+EUYGuST9GsgQewDtgbIMllffGDgV8ZUMZ7gQckObuN7aR5nOvantg64KHAC6d9EpK0GjnDR9KqkeTxA/tE4AAADwRJREFUwJuB/i+tDwVeVFWXzapukjQpP9O0UpKsAY6gWZMnNI9qXU2zPk9/fH+adX0G9cszgFt60m4HNvaXW1V3rsR5SVLXOeAjaVUZ9qXVL5eS5pGfadod2S8laffggI8kAUk2VdXmWddDkqbBzzSthGH9bJL4uDFJ0uQc8JEkIMktVbVu1vWQpGnwM00rYVg/myQ+bkySNDkXbZa0aiS5btgu4MCVrIskLZWfaVoJI/rZemDtgP2D4gtvjOuND4qB/VeSpsYZPpJWjSRfBo4Dbu3fBVxZVQ9c+VpJ0q7xM00rYUQ/206zaPNjxohvB54DbKZZ22dYDOy/kjQ1zvCRtJpcAuxbVdf070iybcVrI0lL42eaVsLAfpZkC7CuqnYsFm9jtwNbF+KDYj3pty3DeUjSquMMH0mSJEmSpI5ZM+sKSJIkSZIkaboc8JEkSZIkSeoYB3wkSZIkSZI6xgEfSZKkOZXkB5JckmSvntirkvzyLOulbhnRz142QfxNSa4dI2b/laQpccBHkiRpTlXVp4F/AN6b5P5J3gQ8BDh3phVTp4zoZ6dNEP9u4IwxYvZfSZoSX8suSZI0x6rqL5J8Hfg08E7gl8rXsGrKRvSzieJJdo4TW/ETlKQOcoaPJEnSHEuyJ/DzwGXA4cCDZlsjddGwfjZJfNzYyp2VJHWbAz6SJElzKsm+NDfKH6yqZwK/AbwrySNnWzN1yYh+tnGC+GXA+8eI2X8laUrijElJkqT5lOQA4Ceq6sKe2AZgr6r60Mwqpk4Z0c8OAvYZM/6TwJFV9ceLxDZg/5WkqXDAR5IkSZIkqWN8pEuSJEmSJKljHPCRJEmSJEnqGAd8JEmSJE0syaZJ4uOmnSS/JGk41/CRJEnqmCSbqmrzrOuhbktyS1WtmyB+r345KO2w/JKkyTjgI0mS1DHeMGtaklw3ZNd6YC1wQ38W4JCqWjugjEOBm3ryM6CMe+WXJO2a+8y6ApIkSZrciBvxAAeuZF3UaQcCxwG39sW3A/8N/Gxf/N3Amr7++XDgZqB60m8HngNs7isjwJXTqLgkrXYO+EiSJM2nYTfi3jBrmi4B9q2qa3qDSbYA66pqR198f+A9wK/3hF8LXAicvpC+zX87sHVAGdumfA6StCr5SJckSdIcSnIOsLmqrhiw76+r6lkzqJZWOfulJO0+HPCRJEmSJEnqGB/pkiRJmlNJDgWeBHwvzfooXwC2VNWNM62YOmVYP2u3x41fDxw2Rsz+K0lTsmbWFZAkSdLkkvwucAHNmj1XAVe32+cnedks66buGNHPtgL/NGb8GOCi9veomP1XkqbIR7okSZLmUJJPAo+sqm/3xfcEPlZV6wfnlMY3op99kuZeYv1i8Ta2Abh2IT4o1sbtv5I0Jc7wkSRJmk93AQ8cED+o3SdNw7B+tobB9xKD4nfRDO7ctUgM7L+SNDWu4SNJkjSfTgG2JvkU8Nk2tg54KPDCWVVKnXMKg/vZ3gBJLhsjvhPYBlyb5OwRMfuvJE2Rj3RJkiTNqSRrgCNoFr0N8Dng6qq6c6YVU6cM62c0Cy2PG98ObBwjZv+VpClxwEeSJKljknxPVX1p1vVQNwx5S9c/VNVNQ9L/Hs1CzB+uqp1t7AjgR6vq9CSPAB4P3FhVl/Xke1tVPXt5z0aSVg8f6ZIkSeqec4AnzLoSmn/tW7qeSfOmrqva8MHABUkuqKpT+9KfDLwKuBQ4J8mLadbqOR44LMlB3D3754AkXwE+1Wb/qST3A6iqE5bzvCRpNXCGjyRJkqSBRryl63rgEOATfVkOobnHWJvkwcCFNIs+fx/wEeAhNANG29q8RwDPpX0lO/AMgKp63/KckSStHs7wkSRJ6pgkm6pq86zroU5YeEvXjr749wBfBH62L/5eYB+Aqro5yTE0j4Cd1u7/dFXdnmQj8GLgicBtVXVNkm840CNJ0+OAjyRJUve8EnDAR9NwCoPf0rUWOLWq7jEQlOSzwDcX/q6qnUluBA4EDgP2aON3JXkrzeyeP0jyZbw3kaSp8pEuSZKkOZTkumG7gEOqau1K1kfdNcnb4JIcDNzRu2h4krVV9a0kR1XVB3viDwAOqqrrkzwBOKqqfn+5z0eSVgsHfCRJkuZQOyPiOODW/l3AlVX1wJWvlVaTYW+DmyQ+bkySNLk1s66AJEmSdsklwL5VtaPv52aaBXGl5XbOFOLjxiRJE3KGjyRJkiRJUsc4w0eSJEnSxJJsWmp83JgkaXLO8JEkSZI0sSS3VNW6pcTHjUmSJuerDyVJkiQNNOJtcOuBtQP2D4qvb3/3xgfFoFl0/MCl1FmS1HCGjyRJkqSBRrwNbjtQwGPGiG8HngNspnm9+7AY+JY5SZoaZ/hIkiRJGmbhbXDX9AaTbAHWVdWOxeJt7HZg60J8UKwn/bZlOA9JWnWc4SNJkiRJktQxvqVLkiRJkiSpYxzwkSRJkiRJ6hgHfCRJkiRJkjrGAR9JkiRJkqSOccBHkqQhktw/yTXtz5eSfL7n7z0XybsxyeljHOPK6dX4HuVuS7JxOcqeVJLTknwsyWlTKm93OrdjkvxYz9/PT/LsdvukJBO9WjrJzUkeMEH6E5K8bJJjrJTec1msn+9iWz04yQ1LqaMkSV3ma9klSRqiqv4T2ACQ5I+AnVX1pwv7k9ynqu4Yknc7sH2MY/zYYmlmadQ5TuDXgAOq6lvLecwk31FVd05cu6U5BtgJXAlQVWf17DsJuAH4wnIdvKq2AFuWq/x+u3ptxujnJ7HMbSVJ0mrjDB9JkiaQ5Nwkf5bkn4HXJjkiyZVJPtr+flib7pgkl7Tbf5Tkre3MlM8kObmnvJ096bcluTDJTUnOS5J238+0sSuSnL5Qbl+99kpyQZLrkvwNsFfPvmOTfCjJvyb5uyT7jiq3re/ZSS4H3pbkgCQXJbm6/TmqTbdPe15Xt+f/pAH12gLsA3w4ydOTPCjJ1raeW5OsG9SuE5zbziSvSvJh4Mi+WSUbk2xrtw9I8p62Dd6SZMegmTQj2urmJK9s49cnOTTJg4HnA7+ZZtbXj7dt95IkTwM2Aue1+56Q5J09x/npJO+4dw8D4HeSXNX+PLSn/oOuwUlJ3tzThqe3/fAzbR1IsibJn6eZZXVJknct7Os7921J3tDmvyHJERP2h/snubztC28B0nuderZf2rbhtUlOHdBWeyU5PMn7knwkyT8mOajNe3ib70PAbwxpP0mShAM+kiTtikOAx1XVbwM3AY+tqkcBfwj88ZA8hwLHAUcAr0iyx4A0jwJOAR4BPAQ4Ksl9gbcAx1fV0cABQ8r/deB/quqHgNcAhwO0gxovb+v7aJpZR781RrmHA0+qqmcBbwReX1WPAZ4K/GWb5g+Af2rjPwmclmSf3kKq6gTgG1W1oar+Bngz8La2nucBvY+99bbroufW2ge4oap+pKquGNI2AK9o6/po4J3Auv4Ew9qqJ8l/tPEzgZdU1c3AWW3bbKiqD/Sc94Vt/hOragPwLuDhSRbaeROweUhdb6+qI2ja6g1tbNg16HcQcDTwRODUNvYU4MHAYcCvAEcOyQuwTzsb5wXAW3vi4/SHVwBXtP8WtjC4jY8Hfg74kar6YeB1A9rqDuBNwNOq6vC2Hq9pi9gMnFxVo85BkiThI12SJO2Kv+t5dGg/4K+SrAcKGDSQA3Bp+0jTt5J8BTgQ+Fxfmquq6nMASa6huUnfCXymqv69TXM+8LwB5T+WdvCkqq5Lcl0b/1GaAaQPppkwtCfwIZoBqFHlbqmqb7TbjwMe0eYH+K4k3wkcC5yQ5CVt/L40N/k3DmkDaAYbntJuvx14Xc++3nYd59wA7gQuGnG8BUcDT27LeHeSWwekGdZWCxZm5Hyk5xzGUlWV5O3ALybZTNMOzx6S/Pye369vt4ddg35/X1V3AR9PcmAbO5qmbe8CvtTOohrm/La+70/yXUnu18bH6Q+PpW2Xqrp0SBs/DthcVf/TpvuvAWkeBvwg8J72GN8BfDHJfsD9qup9bbq3A8ePOBdJklY1B3wkSZrc13u2Xw38c1U9uX3EZ9uQPL3r19zJ4P+DB6XJgHTD1IBYgPdU1TPvEUwetUhZvee4Bjiy54Z/oYwAT62qT0xQx369df760FSDzw3gm32DRHdw9wzm+/bEx2nHgW3VY+H6DLt+i9kMXAx8k2YAZthaODVge9g1GFZHuPucl9KHFv4epz8Myt8vY6b5WP8snnbwabG8kiSp5SNdkiQtzX7A59vtk5ah/JuAh7SDSQBPH5Lu/cCJAEl+EPihNv4vNI+GLawFs3eSQyYoF+By4IULfyTZ0G7+I/CiduBnnEEkaBY3fka7fSIw6jGsBcPObZCbufuRr6f2xK8AfqEt41jguwfkHdZWo/w3MGimzb32VdUXaBYlfjlw7ogyn97ze2GG0bBrMI4rgKe2a/kcSLPQ9MhjJzkauK2qbhuQZlhdeq/T8Qxu48uB5ybZu023fxvvbatPAAckObJNs0eSR1bV14Db2rqxcCxJkjSYAz6SJC3N64A/SfJBmkdPpqqdRfEC4N1JrgC+DAy6CT8T2Ld93OmlwFVt/q/SDESd3+77F+DQCcoFOBnYmGbR5I/TLFQMzeymPYDr0rwe+9VjnNLJwKa2Lr8EvHiMPAPPbYhXAm9M8gGamTi98WOT/CvNY0BfpBlk+H/D2mqRul0MPLldbPjH+/adC5y1sBBxGzsP+GxVfXxEmWvTLEL9YuA329iwazCOi2geH7yBZt2mDzP8Wt+a5hXqZwG/PCTNsLq8Enhs28bHArf0Z6yqd9Os77O9fWxx4XHAc2nbiubf0dNoFkW/FrgGWHjL1ybgjHbR5nvMMJIkSfeUKmfGSpK0O0uyb1XtbGfSnAF8qqpev1i+WZW7O0qyFrizqu5oZ46c2S4QvNL1eDPw0ao6Z4WPu3Ct708zYHZUVX2pL802msWot69k3SRJ0vJwDR9JknZ/v5rkOTSLCH+UZpbG7lzu7mgd8LdJ1gD/C/zqSlcgyUdo1sLpfwvZSrikXQNnT+DV/YM9kiSpe5zhI0mSJEmS1DGu4SNJkiRJktQxDvhIkiRJkiR1jAM+kiRJkiRJHeOAjyRJkiRJUsc44CNJkiRJktQxDvhIkiRJkiR1zP8BhcU6eVzB8RAAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", + "BIOBLP_MODEL_ID = BIOBLP_M\n", + "ROTATE_MODEL_ID = ROTATE\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "merged_bioblpm_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][BIOBLP_MODEL_ID],\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_ent_w_attr_df,\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK) \n", + "merged_bioblpm_rotate_df[:3]" + ] + }, + { + "cell_type": "markdown", + "id": "2e12089d", + "metadata": {}, + "source": [ + "**DO NOT USE THE BIOBLP_D, USE THE BIOBLP_D_OLD VARIANT DEMONSTRATED AFTER THE IMMEDIATE CELL**" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "e43eea33", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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fWo5VPYFVYcsq0cfKxfiSFieaWQ5wEv7YDfEd30KX5Q78zeWVwBrz1RyHh4zrnpDxbMYnu6JuM7XFbr7h1almtipYro9Rc7+sEV+Ieh0rg89p1NyW4j1WLonwe23ijTPmNh9r+6vjfISrsWzjXB+xptMe3/bK7c5XX4pHQbDdVVtOzX25WjzH0ND5iTae2vrtGaEbAObfnld97JgXPkLn3GZ88uAF29Um0tP4xEgePjGxBL9c42K+2t+9wKnOuQ3BdN4EfoFPbi7Hn9O244+DMTnn3grGdx+wzsz+bmZto5wnalOMTzx+6nxV2l8CB5hZO/PV9KrHd3/QfyF+GVRrCxSGn0ucc+XOuVeAY8zspGA5RDxum68i/h/8Q4DbQ0YTPq3q6W0P/cHM/oA/p50V6ZzmfPWuJ4BbLaTqMH59xruNi0gclPARSYy5+KRHtRvxTzwnOd9I3iHB79V1/18HOpvZWPzNTPVNxAb8U7nQuvkR61k30BPAGebbiZiEv7gBfzG21DnXPuQvzzl3fMiw4RcQi5xz5+KL/f8OmGZm1dVgHg0bVxvnXENeufltfGOKR+GrSPQPfg9tU6EhN8ur8TcIfqRmhl/+q+o4nnygrzVeY50b8ReEo0KWbTvnXPUNQm3bX0OELt941kdtzgROMbMf1DOG8HXWBl8tJNo6q23ZhG8/+cA7YdtxrnPuKufciuBzbsiyrxFPoG9IPLttn+bfPPML4F/AnWaWGWVewZfsygkZNpUg0ReiT0j3FPzxZDXx7d/Rhq02Al9dcTfOuVEhy+O9CL0s8qO10BvJv+GreQwJ1sePqbn9RDtWrQF6BfvobrEn0BP4Y/TJwPwgCQTxHd/Cj5WvOecm45NCC/FVnqrH9d2wcWU75z5sQNy3B9MfEyzX89l9v0zYsRK/jVdQM/ESj3x8g7uNpbZtvrbtr77Cl2086yOWAnwVpn9ZzbcaxdIhOB5W60vNfblaPMfQ0H0r2nhq63dNhG7AzrfnVR87RhFZGv46ozrZsDfwgHNuR5Ckuh9fihRqOU6af7Pqc/jqs7NDJ+Kcu885N8Q51xV/vEkDvowxv6HD/tk5Nx5flXMocHOU80Rt5lJzG6r+bM6/5a56fFcGv8/DL49qewe/RZNGsN9FOm4H56Dn8dvAd8OGrTEtMxuIrwr4dchvv8SXJDraObetlnlNx1e1rBb1HCMi9aOEj0hivIyvI18tD39DvsX86yp/EdpzUPJjGvAHfFHlN4LfK/FtIdwWlEQYTiO8rSC4wNkAPIhvGHBL0GkGsM18Y57ZQQmOvcxs32jjMrPzzaxLUBqgejyV+CdtJ5rZMcF4ssw3pFhrQ5Mx5OHbgtiEv5j7bQPGFclTwAlmdqSZpeOTA6X4evR1MQN/cXuHmbUJ5j3ei/RaBcv6H8BdFry+1Mx6mdkxQS8xt78ESsT6WI0vRv89M7u6HsP/G7jEzMYGF6m/BT5xzi0Luq+j5sVkbcsmvP+XgKFmdoGZpQd/+1pIY95hXg76/7b5Rn7PxrfF9VKk8QcJi4fx1Souw283oa9LDo/na3zDyicE2+hP8Rfbocab2WlBwvEH+HX0MfHt39GGrb4JGE9wvKqroCTT/9j9WLkNKAyOd1eFDRPtWPUR/jhzbbCcT8a3FZVoU/FVT65iV2Ie6nh8M99Q/EnBzXQp/il5dWOt9wM/sqDB8+Ap/pkNjDsvmMaWIMF2cwPHF+4J4HozG2D+7T2/BZ50dS/V+Di+4emzgvXYKXgQkii1bfMxt78EavD6cM5Nx5cufM7CXpMdwy/NvwL8YHzC6OkI/dR2DAW42XyD933w7WY9GWOa0fp9Cn+c723+RQm3xgo8OA4NM99AeBd8lbbZQWkf8G0fXh6s12x8CajqREHU42RwbHsG3z7Xk2HTzAq2DzOzvvjXhN/jnCuIFWsw7L5mNimY3g58uzeRGmSu7j/TdjXMnRFMuzoJ+C/g1GCdpOOrm78fcvwL9whwQ3Ad0BN/7fJwMJ3hZnZcsJzSzex8/IOOdyKNKJjeNPx58sLgeiPU4/hj38HB8exXwLPOue3B8D/CPwya7JzbFDbu/cw30p4RxHMLvrTdJyG9HYqv5ioiCaKEj0hiPIJ/i0V28P1ufP3vjfibpVcjDPNvfMmIp8Mukq/Fl5ZYi3998RP4G4REeyKY/s6bmCDhdCK+XZOl+PgfDOKJ5lhgnvmiyvfg22kocc7l45+K/xh/w5aPv8htyHHnEXwx61X4V7Z+3IBx7cY59xX+yetf8PN+InCi82/rqMt4qpfjYHwbJCvx1TkS6RZ8o6kfm68i8D92vUXjbmrf/hIhIevDObcCn/S5xcwur+Owb+Ivhp/BJ0sGAeeE9HIbMMV8dY6zqH3Z3IMvUVJgZn8OLmKPDsa5Gr9f/o7dkyzV8WzC31jdiE+E/RD4lnNuY6TxA9/DX/D+LCj2fgn+5qu6aP3twE+D+G9yvjrH1fj9chX+xiK8usEL+O2tAN+m0GnOF+WPZ/+OOGzQ7SRguqv55py6qn6db7Wb8DcH2/FJzEg3kpGOVWX4hpovwyeaz8cn1RJ6rHTOrcEnlw4Ija0ex7cU/DaxGl9l61D8esQ59xx+m5oa7Mtf4p+ON8Qv8Y2fbgX+i3+QkEj/xJ+f3sVvSyX4tnTqJNj3j8cvm834hqT3jjVMHcdf2zYfz/aXCAlZH865N/DHiBfNbHwtva/F78er8TfpVzrnFkYYZ23HUPDHhVn49fNffII6mmj9/gPfztXn+Iana1sGvfDH5+34dmSqgFNDul+KL1W6En8sHEjwZqpajpO98W2a/cBCqloFCZ4s/HGmEJ8s/Ai/bOLRNpjHAvx5cRPwxxj9f4VPqvTCL5digpJWzlcP+zF++a3HX0t8O8a4HsBXv/oCf/z4b/Ab+JJktwXj2YBPwp3tnPssyrgOwJ/DjsYnKGtU93LOzcNXTX08GGcewbEs8Ft86a1FIcP+OOiWia/ytgm/Xo4HTqg+pwQJsOPx1fdEJEGq33whIg1kZr8F1jvn7k7weH8HdHfOXZTI8YqI1IWZfYJvXDiu6g0xxvM+cF14VYqGCuK73zn3r0SOV0TiY2YOXz1uca09twBmdim+se0jkh1LS2Bm1wF9nHM/THYsIi2JEj4izUxQrDwD/6RmX3wVkcudc88nMy4RkebEzA7FPyXfiK/qcj/+LXJrkhqYSCvVChM+dwLtnXOXJTsWEZFoVKVLpPnJwxd13oGv834n/s0UB4cVP67rWx+ajWjzYZHf7NNimNn9Ueb7/tqHbnxmdl6U+GI1/pjoGFrMdi6Nbhi+eshWfJWgM5xza6zmW2xC//aodiFa875gNd8cFPp3XrJjg+ZxLG8p2/meysyex1dpvzPJoYiIxKQSPiIiIiIiIiIiLYxK+IiIiIiIiIiItDCNkvAxs1fM7KKQ7782s41mtjb4fqqZ5QdFT/dpjBgam5k5MxvcyNN42Mx+ncDxNXrMccZxmJmFv1UmWr+3mdlj9ZjGPDM7rK7DBcMWmtnA2vts3sxsutXxjUfNQVCN4atkx7EnSfS+XZd9tLkJPW42ZFsKqmzE+3aWejGzM81sqZnV+srfBkyj0edD9gwNuaYIH9bMPjezNWZ2feIijDuWUWY228y2mdn+jTyt/sHxNa0xp9PY9rTrATP7j5ltMLM/NPF0LzbfqHyzZ2bdzex9829wTPRbQKunoesxARp2XRg+rJn90PybSl8zs5zERVlrHAk7nu9p18l1TvgEC2pHcFO8yczeDD/QOOeOc85NCfrvg69bP9I51z3o5Y/Atc653ES/paM5MbO/m9l3kjTtPerknmjOuVHOuen1HDbXOfdNgkOSODnn3nPODau9T5HY4t2WIl3kO+eudM79X+NFB8CtwD3OuQ6JGFlt85GoC5Q96aaoPiJdFLb0ea4r59zewBXAL5Iw+UuBb/CN5X6UhOm3Sk350NA5dyJwOHCTmbVvimkmkpktNP8Gr/Dfv29mMxM0mTOBdKCrc+7JRIwwfB2Hn0PNbJmZHZXo6bQ0ke7BWvo814Vz7vdAb2A4cHSSw2kV6lvCZ2/nXC6+wcSHgXvNLNpJvx+wyTm3Puy3ejUCuoc9ZTkW/4YlkZia+3ZtZqnJjqGlau7rPplawbLpCDToFefSfLTC4+SXQLskzHdHYIFzrqqJpytNyDlXfWzslNRA6mcKcGGE3y8IuiVCR2CRc64sQeOTJGoF1zs1OOd2AEvZM/fvRtNY20GDqnQ55zY65x4FrgJ+ZGadYFdmM8gCvwH0DEoEPWH+7RKpwOdmtiTov6eZPRMU31xqZt+rnob5Kj3TzOwxM9sGXGxm7czsoaA48SrzVcZSg/4vDoo4/jEoLrbUzI4LGV9HM/uXma0Ouj8f0u1bZjYnKB75oZmNqWURHG9m35ivrvYHM9u5PINhtzjnVprZcjMbH/x+fpDlHRl8vzw0hgg6m9kbZrbdzN4xs34h0zjAzD41s63B/wOC338DHIxPxBWa2b0h4zvKzBYF836fmVmkiQbL/elguW83sy/MbKiZ/cjM1puvknd0SP89zexFM9tsZovN7IqQbtnmi4MXmNl8/KvGCRs24voP6y8riGdTsI4+NbNuUfrd+RQimJenzOyRYF7mmdmEaAs8NAsfxH2fmf03GPYTMxsUdLvfzP4YNuwLZnZDbfMVZbueaGYzzRdTX2dmfwrpf79gm9xivij9YdHiD9PPzD4IYn/dzDqHjPNpM1sbbD/vmtmokG4Pm9nfzOxlM9sBHB4s05vNbK75Un4PmVk381U4t5vZ/8ysQ8g4TgqW9Rbzx4QRYevnpmBcW83sSTPLCrqFF/3sY2bPBstxU9j2HGn9XRzM813BtL8xv69cHGy3661mldNM88eLFcFyv9/MsoNuHczspWDaBcHn3iHDTjez/4u2jKPEV1164DIzWwG8Fef6iLgdRhj/QcF8Hh6h2xQzuzH43CuI4+rg+2Dz+6+F9H9jsLzWmNklcS6zw8xsZYxhHw76j3Zcc2Z2jZktAhYFv0U9NpvZPmb2WTCuJ4GskG61bkvBdnk/sL/54+WWkDh/HTqeGPPUyXwVhG3mj0u/tvhKg6QBu920mtmlZrbAdhV5Dl8+V1rYcby2+TCzNsAr7DofF5o/RhVZcO4O+h8fLJ/0SAFHmo6Z7RtsB6ElYk43sznB5+rj3ZPBevrMzPYO6Teuc0BI/1lmVmzBvmZmPzWzCjNrG3z/tZndXcs4TrBd1YLyzey2kM7vBv+3BPO4f4xlW+M4GWN6Ddlnss3sTvPXElvNX+NUDxvrOBt13wi612u/ClG97ca8QI21rK0O5/UQ0fabiOdJMzvHwkpVmNn1ZvZibfHFy2JfA9XpGiRkuKjnyaD7FcG0NgfT7hnSbbL5UiZbzZ8zLWzcUY8xUWKp3ic+D/aBs83sSzM7MaSfdPPXw2Nt13nuO+avt9dYcO4J+k0xs1vNbEmw7p8ys44RJu2offuKuXzNbESwb2wJup0U0q1TsOy2mdkMYFDYuIebP1dtNrOvzOysWLGEeBQ4yGoeu0cAY4Angu8Xm78+2W7+uFfXN9BF2w+ixmyxr2kjreOd51AzexToC/wn6P7DYDzXhU1/rpmdEi3oJG5LoTFMsTpcC0UYvoNFuTa0CPdgsZatmd1ivsmTf9USc6zjdW3HipODYbcFy+nY4PdGuXerbdgQVdS+f9d2fmxnft/fYP4c+VML7sfNLNX8eXejmX0DnBA27qj5hAhxNHR5TAmGXRDsO6HXpsuC7WAusMPM0izGfV9d4t7JOVenP/zBd3DYb+lABXBc8H06cHnw+TBgZbRx4JNOs4CfAxnAQHxR3WOC7rcB5cApQb/ZwPPAA0AboCswA/hu0P/FQf9X4BNLVwGrYecbyf4LPAl0COI+NPh9HLAemBQMdxGwDMiMsRzexmfY+wJfV89z0P1W4Pbg8yPAjcHnvwNLgKtCul0fZRoPA9uBQ4BM4B7g/aBbR6AA/7QgDTg3+N4pfB2ExfwS0D6IeQNwbJRp3waUAMcE438En4n9SbDcrgCWhvT/DvBX/EXh2GDcRwbd7gDeC2Lug38quLIO6/+x4PN3gf8AOcE6Gg+0jRL/MuCosHk5PhjuduDjeLbxYB1sBiYGy+FxYGrQ7RAgn13bVgegGOgZ53yFb9cfARcE3XOB/YLPvYBNQfwpwOTge5da9tXp+G1taDD+6cAdId0vxb8CPhO4G5gTtu1tBQ4MppkVLNOPgW5BTOuBz4B9gnG8BfwiGH4o/rXyk/Hbyw+BxUBGyPqZESyrjsAC4MrwY0awvj4H7sLv71nAQbXM98X449ElwfC/BlYA9wVxHo3fr3KD/u8GXgziyMNvY9X7bifgdPw2lwc8DTwf7zKOEl9//Db2SDBP2XGuj4jbYeg2i99f84GJUaZ9KfCf4PO3g9ifDOn2Qsg6qAB+Fay/44EioEMcy6y2YR8mynEtZF7eCMadTYxjM37fWg5cH0zrDPx+9eu6bEv4beb9sGX1cNh4Ys3T1OAvBxgZrIP3o20DwTCjg1jDz6en4PeVEcG6/inwYTzH8TjnI/x8/DLB+Sj4fhfwlzj2sfDpzCe4Bgi+P8eu895twbyeESy/m/Dnk3RqOVbGiOFd4PTg8+v4bfm4kG6n1jL8YcE6SMHfhK0DTgnbR9NqmeeHCTtOxpje3dR/n7kPf2zphd+OD8Bv/1GPs9S+b9R7vwqZp2z8ufVbDVjWcZ/Xg/6rzxfh1zdRz5PBuLcDQ0L6/xQ4pz7bQpS4Yl0D3UYdrkFCxrmM6OfJI4CNwXrMBP4CvBt06wxsY9f+dj1++6q+Lj+FGMeYGPHUuP4PtrcnQ76fDHwRttyewB9vRwfLpPq67Af464neQfwPAE9EmOZy4BqC66wocUVdvsH8LwZ+jN+ujwi2hWFB96nAU0GMewGr2HWd3QZ/LL8kWE7jgmU+qrZlFQz/BvDTkO+3E1w/BOPeFhJHj3jHG/Sfg7/mCt8nY8ZMnNcSYfvuypDvy6rXYfD9LOCTkO974/e7jOa2LYVNP65roRjDx3NtGOkeLHzZVgC/C+LOjjG9mPeoxD5WTMSfpybjj3G9gOFxHLcacu8Wddiw+ZoC/DvW9kLt58dHgBeC9dAffz9+WdDtSmBhEENH/H37zuM5MfIJEeJo6PJ4B3+f2BuYy+771ZxgvNnUct9Xl7h3TiPeg0u0DTbk97XAeeEbOrUnfCYBK8K6/wj4V/D5NoKTWPC9G1BKyI6BT3a8HXy+GFgcdlB0QHf8AbWqeiMJm+bfgP8L++0rgoRQlOVwbMj3q4E3Q76/BxwcfL4MeDH4vAC4nF1Jg+XAuCjTeJiaB+JcoDLYIC4AZoT1/xFwcS0Hm4NCvj8F3Bpl2rcBb4R8PxEoBFKD73nB+NoH8VQCeSH93w48HHz+JmxZfYddO0k867864XMp8CEwJo7tdBk1Ez7/C+k2EiiOZxsP1sGDId2OBxYGnw2fSDgk+H4F8FZ9tuvgt3eBXwKdw36/BXg07LfXgItqWQbTqXmxcTXwapR+2wfz3S5kvh+JsEzPC/n+DPC3kO/Xseti5mfAUyHdUvAXUoeFjOv8kO6/B+4PPh8Wsn3sjz8BxbzYDovzYnwx5+rvo4N56xby2yb8yc3wN0yDQrrtT0gyM2zcY4GC+izjkH76B/EMjNFPpPURcTsM2WZ/hD+ejI4x3kHAlmB93I+/2ape1lOAG0LWQTE1b3jXA/vVtsxiDRsyLxGPayHzckRI96jHZnzSaGdCP+j2IZETPlG3JeJLlERbHqn4m+FhId1+HT6+sHFPC+bzzgjdXiG4WAnZd4qAfiHLJ+JxPM75CD8fnw18EHxOxZ/LIyYMa1letwCPB587BjH3CL7fRsgNbjBPa/BPQWMeK2PE8H/An/E3LWuB7+MvqrKCddU51vARxnc3cFfYPhpPwueROMZd730mWFbF+Kr04eONepyl9n2j3vtV2DDX4a+r5tRzWdflvH5dsF4+BtIjbH9Rz5PAY8DPg89D8Df9OfXZFiL0X9s10G3U4RokpL9lRD9PPgT8PqRbLv441B9flSh0fzNgJbuuy2MeY2LEs/PaKPjeM1iObYPv04Afhi234WHxPxR8XkBwYxl87xHEnxY2zVOBMnyJ+WhxRV2++GPMWiAlpPsTwTDVx+7QGH/LroTP2cB7YdN6gODBVhzr73zgq5BlvIIgEY2/UduCTxpEvdGPMt6Tgu1tMWH3M7XFTHzXEnVJ+GTiE0hDgu9/BP4axzw0+bYUNv24roXqsE7Gsvu1YTwJnzJiPCgI6TfmPSqxjxUPEBzPwoZvzHu3qMNGWA9rg/U1Icq8H0bs669SfDvB1d2+C0wPPr9FkPgKvh/NrlKDMfMJEeJo6PI4JqTb5ey+X10a8j3q+ayucVf/NahKVzXzRb+74Hf6uuqHL2K+pfoPn4kPLdKbH9Z/OrAmpP8H8BmuamurPzjnioKPufiNe7NzriBKHDeGxdEHfxCKJjSu5dX9mm9gbjj+IgZ8Vu9gM+uO3zifBA40s/5AO3xWr9ZpOOcK8cu4Z/C3PKzf5fisYCxrQz4X4ZdLNOtCPhcDG51zlSHfCYbviV+u26PE0pPdl1W1eNZ/tUfxG/xU88U6f29Rqh1EED7fWRZ/PcmIy8z5vWwqfkcD/5Tg8eBzXbdr8InBocBC88XavxUyrjPDxnUQ/qRWr9iDYo53BEU7t+EPNuCfDEaLD3bfJsK/V29PNbZP59tayKfm9hnPttgHWO6cq4jQLZbwuHDORYq1+unvrJBl+2rwO2aWY2YPBMVEt+GTcu3Dik7WZZ8KtXP5xrk+apvOD/A3f19Em6Bzbgk+cTsWfyH8ErDazIbhb/TeCel9U9hyr55mzGVWy7DVoh3XdutO7GNzT2BVsC9WCz8uVqvvtlQt1vJIC4s50r6zk3PuDHypkOuC80KofsA9IfO6GX/DVtd9J14vACPNv5lwMrDVOTejHuN5DDjRzHLxT33fc86tCekeus6r8DegPanbOSDUO/gLwXHAF/in6YfiLwIXO+c2xhrYzCaZ2dtB8eut+CeBMatjRhFzXQcass90xiexlkQYb6zjbG37RoP3q+Ac+kv8A6iob1ytZVnHfV53zv0Ff97rji8BEKq28+S/qXmufr76+jAB20Jt10BQ/2uQaPt6+LovxD/IqF73ofubY/djam3HmFo551YDHwCnB9e9x7HrGqhaxOvkIIbnQmJYgL/5DN/vf4lPzsSsokP05dsTyHc123uqXjeRjt3h+8iksG3qPPz2F49ngR5mth/+WJWDr2WA8+2XnI3f1taYrxo1PJ6ROueqSwpuwl83hoon5oSdP5xzpfiHDuebr0ZzLn6frut4mmJbCp1eXa6FdhPntWE8NjjnSuLoL5571GjrtQ/Rzx+Nde8Wa9hQ38eXtmzrnIvVmHms82N1idT6zENt+YRQiVweka4bwo/R0c5ndY0bqKXeXB2cjC9uVZ+LxHz8U64hMfoJvejIx2e2Otfjwj0f6Ghm7Z1zWyJ0+41z7jd1GF8fdjU+3Rf/RAx8tYo3q5MjzrnFZlYEfA9fqmO7+fqa38E/SYjV8GCf6g/BhXTHYDqr8Ss9VF/8RSTUXGaNbTV+ueaFHDj64p80gn+SG76sqsWz/gFwzpXjT/6/DJJlL+Mz3A81eA7q7wngdTO7A5/hPTX4va7bNc65RcC5wUnzNGCa+bY18vGZ3isijKO+vo3fb4/CJxfa4asEhtZZbsg2tBpfsgYAMzP8NrAq6hCR5QN9zSytATfqsWzEJ39GOecixXYjvnH6Sc65tWY2FphNWHsI9RS6fONZH7U5E3jIzFY55+6O0d87+KL+Gc65VWb2Dv6JcAdiJ5+r1bbM4hHtuFYt/Jgf8dhsZocCvczMQm5O+xL54ibWttSQbX0D/vzXG1+UGELmLxrn3Idmtgmf5A29UKue3/CL3XjUNh+7dXfOlZjZU/ibguHEd7EeaTyrzOwj/DHwAvwTyVCh6zwFv7xW45ddXOeAMB/i981TgXecc/PNrC++jn7Mi/XAv4F78dXASsy3+VN9kx9pOUZbtvFsOw3ZZzbiq6sMwldJDBXrOOuIvW8kYr/qhj9uPB+WHAoXdVnX9bweHIc/wpfiCFXbefJ1fJuIY/E3pdfHE1+carsGagw1rgHNt9HVKZhm9TVXdTej5jGpIceYcFPwT6vTgI8ibN998FUqoOZ1cj7+ifYHtYx/BL56TX0b6F4N9DGzlJBxVDfDUH3sDo+xWj7+2DK5PhN2zhWZ2TT8+TUbX7K1LKT7a8Br5tvj+jXwD3zyIZ5xbzWzt4i8H9Q75ngmHeG3KfjzxvtAkav/m/Mae1sK15BrodquDeO9poi3v/rco4YOOyjC74157xZr2FAj8OeP4ijda7MRXzqoH75aefW0wueBkG7V6ppPaOjy6B0SY6RrxPDr3ojnMzPrUce4gQY22my+AeTz8PXLf+ec21SP0cwAtplvrCjb/JPuvcwsYgNPwRPD14E7zayt+ca6BgUXKDEFw74C/NV8g1vpZnZI0PkfwJXBkx4zszbmG/LLizHKm4Px9MFnKatfi3gCu7+d6x3gWnZdiE4P+x7N8eYbYc3AF2H/xDmXH4x/qJl923zjTmfjD/wvBcOtw9chbHRBPB8Ct5tvgHEM/qlD9cXEU/hGvTuYb9QstIG3uNe/mR1uZqODDPo2/E5eGd5fU3LOzcZfNDwIvBaSSKzTdg1gvkHvLsFFSfV4Ktn15PyYYDxZZnaYhTQeXA95+APGJvxTp982YFyRPAWcYGZHmn9ae2MwvQ9jD7abGfgD5R3BPpllZgcmKshgWf8DuMvMusLOBvyOCXrJw9+obTHfCOAvEjXtMIlYH6uBI4HvWdD4YBTVx6J3g+/T8fvk+yEl+KKKY5nFI9pxLZJYx+aP8Bfs3wuOg6fh66tHEmtbWgf0DuKpk2CZPQvcZv6p33Aiv50lklL806lQ9+OPl6NgZ+N8Z8Y5vtrmYx3Qyczahf3+CL7K0kn44019p/MIvi2G0fg2fEKNN7PTzD91/wF+3j+mHsdK2Fl6dxa+fY/q8+iH+OLc8SR88vBPN0vMbCI+6VptA76aUug5tCHbSL33mWDYfwJ/Mt8oZKqZ7W9mmcQ+zta2byRiv6ouiVNay2xEXdb1PK9H2m9inieDC+NpwB/wCeY34okvHnFcAzWGfwOXmG/UNhN/zvjEObcMX4pkVMj+9j1qlvCo7zEm0nXl8/hSdt/H7//hfhYcF0fh25Wpvk6+H/iNBY0am1kXMwsvtQX+5r+27SuWT/DVKX9o/pr/MHwTBVMjHLtH4qtMVHsJf519QTBsuvkG6kcEMV9sZstqmf4UfEme0wl5O5f5F16cZD5RV4ovbVLX69lI+0HMmONQ273Dbt2DBE8VcCfxl+5JxrYUriHXQrVdG0aav4bcl9XnHrXaQ/hjxZHm75l7mdnwRr53izVsqHQasH8H6+kp/PrPC7aBG9h1HfMU/jzW2/xLZW4NGbau+YRELY9e+O0ulqjns/rmQeqb8Pnc/Nu2FuOzsdc7535enxEFK+tEfLG6pfhs3YP4J9zRXIg/yM3HPwWfRnzVW8A/eSzHZ4nX4y88CYqSXYF/ylOAn7eLaxnXC/gLzjn4E+xDZmb4YvGvhvX7Dv4A8W6U79H8G38g2YxvzPC8IN5NwLfwF3ib8BfZ33K7irHfA5xhvkXwP9cyjUQ4F1/PdjX+Qv8XzrnqC6pf4ou+LcVvpDtPCHVc/93x63obvsjmO8R3c9LYnsCXzPh39Q/13K6PBeYF+9Y9+AYlS4KD8sn44oEb8Jnfm2lYwvYR/DpZhd+PPm7AuHbjnPsKX3/9L/h5PxE40dXx9aEhy3Ewvv77SvzFUyLdgt/fPzZfNPd/+Cc34NtyyMbPw8fsvl8nSkLWh3NuBT7pc4uZXR6lt/Bjz/v4JFNtx6JQsZZZPCIe1yKJdWwOtqfTgu8F+G3j2SjjibUtvYV/arPWzGJWBYriWvy+vRZ/fHuC+C5iqgjbj51zz+EbcZwaLNsv8cXb4xFzPpxzC4PYvjFfFLhn8PsHQSyfBTeM9Z3OcwTF652vshDqBfzyLsCfh09zzpXX81hZ7R38BeOMkO/xnFfBt7f1KzPbjm9o8anqDkEy6TfAB8Fy2i/GPMerIfvMTfhqa5/i95nf4dskiXqcrW3fSNB+VV19obbSF1GXNfU7r0fab+I5T/4bf65+OuzJaKz44hXrGijhnHNv4ttwegafyB4EnBN024gv8XkH/vpwCL66TPWw9T3G3AZMCfaJs4JxFQcxDCDyNvIOftt6E/ijc+714Pd78I2Yvx4s94/xpaR3sl1vvq1v6Z7qbfkk/PxtxDdQe2FwLAR/7M7FH7sfJuRNSUGph6Pxy3V10E91A7vgn9LXVqrkXXyDuaucc5+G/J6Cv35fjd+nD8Vvh5jZwcF1YG0i7Qe1xVyb2whbx2FuB34adL8p5PdH8In+eK/Jd5tOY25LUTTkWuhuYl8bRroHu43Yyzaqet6jVg87A58guwu/Lb7DrtKBjXXvFnXYMKk0YP8OXIdP6n6DX4f/xj8kAZ8oew1fOvYzdt+u6pJPaMjy+BX+mnMp/tw/jRjXiHGcz+qcB6l+u5AkiPmnQ/c656I9ZRYRabXM7GF8Y3U/TXYsjcXMfgd0d85dVEt/H+IfFvy2lioxjc589YB/O+cebOB4luDfFvG/kN9uwzdWeX7DopTmJLhpudc5F7PtgEaY7m/xbQadFFQJkyQys58DQ0P3b/PV85biG9euV3Xs4Hr6I6C9q9nOSLNgZq8D33fOLUjS9L+DL+F4QIQEe1PHciHwHefcQQ0cT6NsS9L8mG+raT6+cevwWjEtmpldhX+oX2vtpERJSKPNspvGqvYhIiLNjJkNN7MxQVHrifhi0eFVmiL5Ff5J7LraemxMQbHjcewqIl/f8ZyOr4f+ViLikubLzGbhqxHdkoTJP4h/ur46KH0lSWK+OstlwN8TPN7n8U+tf9Yckz0Azrmjk5XsCUwjaDukriVGEsnMcvClkxq0DTTWtiTNT1A6bCG+tNGbSQ6n0ZlZDzM7MKh+NQxfui+ea8SEUcInwZxzM5xzryQ7DmkdzKwwyl9cDf/tqczs/ijzfX+yYwMws/OixDev9qFlD5SHLyq8A18d5E58FaaYnHOvOudGN3UJiVBmNgVfxPgHoTdWdd3HzGw6vqHma1z9G1gNH+crUWL4cZzDz4syfNQqhA2Mt0mnl0zOufHOucHOuX/V3nfCp/2Nc+4w51wX51xCqyPHkujzrZn1jTHOaI2cNprqqkSR/qL0fwU+4fCKc64uVYJr5Zw7xTnX1zmX6PYFWwzn3Gbn3Lecc12dc/Wphthg5tsh24B/aPHvkN+Tvi019DrMzH4cZfhGucdr6uklk3Puj8657s65c51/01tLl4F/k9Z2/AOxF/DVS5uMqnSJiIiIiIiIiLQwKuEjIiIiIiIiItLCKOEjIiIiIiIiItLCpCU7ABGRSDp37uz69++f7DBEREREajVr1qyNzrkuyY5DRCSUEj4i0iz179+fmTNnJjsMERERkVqZ2fJkxyAiEk5VukREREREREREWhglfEREREREREREWhglfEREREREREREWhi14SMie4zy8nJWrlxJSUlJskNplbKysujduzfp6enJDkVERERERGqhhI+I7DFWrlxJXl4e/fv3x8ySHU6r4pxj06ZNrFy5kgEDBiQ7HBERERERqYWqdInIHqOkpIROnTop2ZMEZkanTp1UukpEREREZA+hhI+I7FGU7EkeLXsRERERkT2HEj4iIiIiIiIiIi2MEj4iIo3o+OOPZ8uWLckOI6KHH36Y1atXJzsMERERERFpBEr4iIg0opdffpn27dsnO4yIlPAREREREWm5lPARkT3asmXLGDFiBFdccQWjRo3i6KOPpri4mMMOO4yZM2cCsHHjRvr37w/4JMcpp5zCiSeeyIABA7j33nv505/+xD777MN+++3H5s2bo04r1jhPO+00jj32WIYMGcIPf/jDncP079+fjRs3AvCb3/yGYcOGcdRRR3Huuefyxz/+MeZ4Kysrufnmm9l3330ZM2YMDzzwQMxl8Yc//GFnv7/4xS9iLp9p06Yxc+ZMzjvvPMaOHUtxcTG33norI0eOZMyYMdx00011WAsiIiIiItLcKOEjInu8RYsWcc011zBv3jzat2/PM888E7P/L7/8kn//+9/MmDGDn/zkJ+Tk5DB79mz2339/HnnkkXrFMGfOHJ588km++OILnnzySfLz82t0nzVrFlOnTmX27Nk8++yzfPrpp7WO86GHHqJdu3Z8+umnfPrpp/zjH/9g6dKlEft9/fXXWbRoETNmzGDOnDnMmjWLd999F4i8fM444wwmTJjA448/zpw5cyguLua5555j3rx5zJ07l5/+9Kf1Wg4iIiIiItI8pCU7ABGRhhowYABjx44FYPz48Sxbtixm/4cffjh5eXnk5eXRrl07TjzxRABGjx7N3Llz6xXDkUceSbt27QAYOXIky5cvp0+fPju7v/fee5x66qnk5OQAcNJJJ9U6ztdff525c+cybdo0ALZu3cqiRYsYMGBAxH5ff/119tlnHwAKCwtZtGgRffv2jWv5tG3blqysLC6//HJOOOEEvvWtb9Vp/kVEREREpHlRwkdE9niZmZk7P6emplJcXExaWhpVVVUAlJSURO0/JSVl5/eUlBQqKiqiTifecaampkYcT7TXmkcbr3OOv/zlLxxzzDFRYwrt90c/+hHf/e53a/y+bNmyiMsnUgwzZszgzTffZOrUqdx777289dZbtU5XRERERESaJ1XpEpEWqX///syaNQtgZwmZZI7zkEMO4bnnnqO4uJjt27fzn//8p9bxHnPMMfztb3+jvLwcgK+//podO3ZEHP8xxxzDP//5TwoLCwFYtWoV69evjxlTXl4e27dvB3yJoK1bt3L88cdz9913M2fOnDrNn4iIiIiINC8q4SMiLdJNN93EWWedxaOPPsoRRxyR9HGOGzeOs88+m7Fjx9KvXz8OPvjgWsd7+eWXs2zZMsaNG4dzji5duvD8889HHP/RRx/NggUL2H///QHIzc3lscceIzU1NWpMF198MVdeeSXZ2dm88sornHzyyZSUlOCc46677qrT/ImIiIiISPNizrlkxyAispsJEya46jdXVVuwYAEjRoxIUkSJddttt5Gbm7vHvQ2rJa0DERGRRDGzWc65CcmOQ0QklKp0iYiIiIiIiIi0MKrSJSIS5pprruGDDz6o8dv3v/99LrnkkoRN47bbbqvXcF988QUXXHBBjd8yMzP55JNPEhCViIiIiIi0FEr4iEiDmdk/gW8B651ze0XobsA9wPFAEXCxc+6zpo0yfvfdd1+yQ4hq9OjRalBZRERERERqpSpdIpIIDwPHxuh+HDAk+PsO8LcmiElERJqxr9Zu47PlBag9yT1TeWUVqwqKKKuoSnYoIiIShUr4iEiDOefeNbP+MXo5GXjE+av6j82svZn1cM6taZoIRUSkOZm5bDPnPfgJpRVV3HPOWE4e2yvZIUkcPv5mEwU7yujbKZsH3vmG4vIqhnbL5YbJw0hNsWSHJyIiYZTwEZGm0AvID/m+MvitRsLHzL6DLwFE3759myw4ERFpWvmbiykNSoYs3bgj4eP/YuUWtpWUM2lAJ9JS61+gvaS8kpUFxfRsl0VOZs3L5q/WbuOv05fQISeDaw8fTOe8zIaG3ax9utQn6SqrHOdN6suLn/tTeEVlFduKy+jQpmXPv4jInkhVukSkKUR67LdbGX7n3N+dcxOccxO6dOnSBGE1H6+++irDhg1j8ODB3HHHHckOR0SkUR06rAvXHD6IC/brx0l790zouGct38zpf/uI8x6cwbRZK+s9Huccf3h1IUf96R1+8vyXlJRX1uj+0udreGHOah7+cBnvLd7Y0LBr2LC9hB1lFQkdZ0NtKymnssqfuqv/Z6enctDgzrTPyUhmaCIiEoVK+IhIU1gJ9An53htYnaRYmp3KykquueYa3njjDXr37s2+++7LSSedxMiRI5MdmohIo+jYJoObjxneKONet62EskpfemjVluJ6j2dHWQXPzF4FwPNzVnHrscPIape9s/vwHnmkGORmpjGwc5uGBR3iv3PXcP2Tcxjbpx1/PncfuodMM5kOHNyZX5+yFxsLSzlp754cs1d3Ouaks3efDskOTUREolDCR0SawovAtWY2FZgEbFX7PbvMmDGDwYMHM3DgQADOOeccXnjhBSV8RETq4eChXbjp6KEUFJVz2rje9R5PbmY6tx43nH+8+w3nTuxLl7ysGt1PGNOTAZ1zyclIpX8CEz7vLlpPWWUVM5YV8PW6wmaT8MlKT+X8/frt/D6wS24SoxERkXgo4SMiDWZmTwCHAZ3NbCXwCyAdwDl3P/Ay/pXsi/GvZb8kOZEmxjvvvMMnn3zCpEmTOPTQQxs8vlWrVtGnz64CUL179+aTTz5p8HhFRFqjvMx0rj1iSELGdc6+fTl7Qh/MIjdIPLJn24RMJ9TRI7vz1sL1jOvbgVGNMH4REWk9lPARkQZzzp1bS3cHXNNE4TSqd955h5/85CeUlJTw4osv8pvf/KbBSZ9IrySOdnMhIiJNq6mPx0eO6MY7Nx9ORmpKgxqcFhER0VlERKQOPvnkE0pKSgAoKSlJSEmc3r17k5+/6yVmK1eupGfPxDZiKiIie46cjDQle0REpMF0JhERqYNJkyaRleXbccjKymLSpEkNHue+++7LokWLWLp0KWVlZUydOpWTTjqpweMVEREREZHWS1W6RETq4NBDD+U3v/lNQtvwSUtL49577+WYY46hsrKSSy+9lFGjRiUgWhERERERaa2U8BERqaNDDz00IYmeUMcffzzHH398QscpIiIiIiKtl6p0iYiIiIiIiIi0MEr4iIiIiIiIiIi0MEr4iIiIiIiIiIi0MEr4iIiIiIiIiIi0MEr4iIiIiIiIiIi0MEr4iIiIiIiIiIi0MHotu4hIM9C/f3/y8vJITU0lLS2NmTNnsnnzZs4++2yWLVtG//79eeqpp+jQoUOyQxURERERkT2ASviIiNTRkiVLmD59OkuWLEnoeN9++23mzJnDzJkzAbjjjjs48sgjWbRoEUceeSR33HFHQqcnIiIiIiItl0r4iIjEqaCggOuvv57FixeTmppKZWUlgwcP5q677mqUkjcvvPAC06dPB+Ciiy7isMMO43e/+13CpyMiIiIiIi2PSviIiMTp+uuvZ+HChZSUlLBjxw5KSkpYuHAhN9xwQ4PHbWYcffTRjB8/nr///e8ArFu3jh49egDQo0cP1q9f3+DpiIiIiIhI66ASPiIicViyZAmLFy+moqKixu8VFRUsWrSIJUuWMGjQoHqP/4MPPqBnz56sX7+eyZMnM3z48IaGLCIiIiIirZhK+IiIxCE/P5/U1NSI3VJTU8nPz2/Q+Hv27AlA165dOfXUU5kxYwbdunVjzZo1AKxZs4auXbs2aBoiIiIiItJ6KOEjIhKHPn36UFlZGbFbZWUlffr0qfe4d+zYwfbt23d+fv3119lrr7046aSTmDJlCgBTpkzh5JNPrvc0RERERESkdVGVLhGROAwaNIjBgwezcOHCGtW60tLSGDJkSIOqc61bt45TTz0V8FXEvv3tb3Psscey7777ctZZZ/HQQw/Rt29fnn766QbPh4iIiIiItA5K+IiIxOmuu+7ihhtuYNGiRTvf0jVkyBD+9Kc/NWi8AwcO5PPPP9/t906dOvHmm282aNwiIiIiItI6KeEjIhKnDh068K9//YslS5aQn59Pnz59GlSyR0REREREpLEo4SMiUkeDBg1SokdERERERJo1NdosIiIiIiIiItLCKOEjIiIiIiIiItLCKOEjIiIiIiIiItLCKOEjIiIiIiIiItLCKOEjIlIHpaWlvP322zz99NO8/fbblJWVNXicl156KV27dmWvvfba+dvmzZuZPHkyQ4YMYfLkyRQUFOzsdvvttzN48GCGDRvGa6+91uDpi4iIiIhIy6OEj4hInKZNm8bkyZP5xS9+wd13380vfvELjjrqKKZNm9ag8V588cW8+uqrNX674447OPLII1m0aBFHHnkkd9xxBwDz589n6tSpzJs3j1dffZWrr76aysrKBk1fRERERERaHiV8RETiMG3aNO6++26KioooKiqitLR05+e77767QUmfQw45hI4dO9b47YUXXuCiiy4C4KKLLuL555/f+fs555xDZmYmAwYMYPDgwcyYMaPe0xYRERERkZZJCR8RkVqUlpby5z//mZKSkojdS0pK+POf/5yQ6l3V1q1bR48ePQDo0aMH69evB2DVqlX06dNnZ3+9e/dm1apVCZuuiIiIiIi0DEr4iIjU4sMPP4yrvw8++KCRIwHn3G6/mVmjT1dEpKUqKa/kpbmr+d+CdVRW7X6MFRER2VMp4SMiUouNGzfW2k5OZWUlmzZtStg0u3Xrxpo1awBYs2YNXbt2BXyJnvz8/J39rVy5kp49eyZsuiIirc2zn63k2n/P5vIpM3l74bpkhyMiIpIwSviIiNSic+fOpKamxuwnNTWVTp06JWyaJ510ElOmTAFgypQpnHzyyTt/nzp1KqWlpSxdupRFixYxceLEhE1XRKS1KSrbldDfUapG8EVEpOVIS3YAIiLN3QEHHBBXfwceeGC9xn/uuecyffp0Nm7cSO/evfnlL3/JrbfeyllnncVDDz1E3759efrppwEYNWoUZ511FiNHjiQtLY377ruv1mSUiIhEd9o+vXEOsjNSOHpUt2SHIyIikjAWqT0IEZFkmzBhgps5c2aN3xYsWMCIESOSEk/1W7oiNdyclZXFD37wA84444wkRNa0krkOREREmiszm+Wcm5DsOEREQqmEj4hIHKqTOX/+858B32ZPdcma733ve60i2SMiIiIiInsOJXxEROJ0xhlncNJJJ/HBBx+wadMmOnfuzAEHHEBGRkayQxMREREREalBCR8RkTrIyMjg8MMPT3YYIiIiIiIiMektXSIiIiIiIiIiLYwSPiIiIiIiIiIiLYyqdImI1EFlZSXz589n69attGvXjpEjR+q16CIiIiIi0uyohI+ISBwqKyuZMmUKxxxzDNdccw0/+clPuOaaazjmmGOYMmUKlZWV9R73pZdeSteuXdlrr712/nbbbbfRq1cvxo4dy9ixY3n55Zd3drv99tsZPHgww4YN47XXXmvQfImIiIiISMukEj4iIrWorKzkxhtvZObMmZSUlNToVlRUxD/+8Q9mz57NnXfeWa/SPhdffDHXXnstF154YY3fr7/+em666aYav82fP5+pU6cyb948Vq9ezVFHHcXXX3+tUkYiIiIiIlKDSviIiNTisccei5jsqVZSUsLMmTN57LHH6jX+Qw45hI4dO8bV7wsvvMA555xDZmYmAwYMYPDgwcyYMaNe0xURERERkZZLCR8RkRgqKyt59NFHoyZ7qpWUlPDYY481qGpXuHvvvZcxY8Zw6aWXUlBQAMCqVavo06fPzn569+7NqlWrEjZNERERERFpGZTwERGJYf78+ZSVlcXVb2lpKfPnz0/IdK+66iqWLFnCnDlz6NGjBzfeeCMAzrnd+jWzhExTRERERERaDiV8RERi2Lp1a9wJlZSUFLZu3ZqQ6Xbr1o3U1FRSUlK44oordlbb6t27N/n5+Tv7W7lyJT179kzINEVEREREpOVQwkdEJIZ27dpFLFUTSVVVFe3atUvIdNesWbPz83PPPbfzDV4nnXQSU6dOpbS0lKVLl7Jo0SImTpyYkGmKiIiIiEjLobd0iYjEMHLkSDIyMigqKqq138zMTEaOHFnnaZx77rlMnz6djRs30rt3b375y18yffp05syZg5nRv39/HnjgAQBGjRrFWWedxciRI0lLS+O+++7TG7pERERERGQ3Fu+TaxGRpjRhwgQ3c+bMGr8tWLCAESNGNHksU6ZM4R//+EfMhpuzsrK44ooruOiii5owsqaXrHUgIiLSnJnZLOfchGTHISISSlW6RERqcf755zNhwgSysrIids/KymLChAmcf/75TRyZiIiIiIhIZEr4iIjUIjU1lTvvvJMrrriCDh06kJOTQ25uLjk5OXTo0IErrriCO++8U1WrRERERESk2VAbPiIicUhNTeWiiy7i/PPPZ/78+WzdupV27doxcuRIJXpERERERKTZUcJHRKQOUlNTGT16dLLDEBERERERiUlVukRE6qiqqori4mKqqqqSHYqIiIiIiEhEKuEjIhKHqqoqZsyYwSOPPMLMmTMxM5xzTJgwgQsvvJCJEyeSkqIcuoiIiIiINA+6OxERqUVJSQnXXXcdN998MzNmzKCqqorKysqdSaCbb76Z6667LuZr22PJz8/n8MMPZ8SIEYwaNYp77rkHgM2bNzN58mSGDBnC5MmTKSgo2DnM7bffzuDBgxk2bBivvfZaQuZTRERERERaDiV8RERiqKqq4sYbb2TOnDkUFxdH7Ke4uJg5c+Zw44031quaV1paGnfeeScLFizg448/5r777mP+/PnccccdHHnkkSxatIgjjzySO+64A4D58+czdepU5s2bx6uvvsrVV19NZWVlg+ZTRERERERaFiV8RKTBzOxYM/vKzBab2a0Rurczs/+Y2edmNs/MLklGnPUxY8YM5s6dS2lpacz+SktLmTt3LjNmzKjzNHr06MG4ceMAyMvLY8SIEaxatYoXXniBiy66CICLLrqI559/HoAXXniBc845h8zMTAYMGMDgwYPrNV0REREREWm5lPARkQYxs1TgPuA4YCRwrpmNDOvtGmC+c25v4DDgTjPLaNJA62nKlClRS/aEKy4u5pFHHmnQ9JYtW8bs2bOZNGkS69ato0ePHoBPCq1fvx6AVatW0adPn53D9O7dm1WrVjVouiIiIiIi0rIo4SMiDTURWOyc+8Y5VwZMBU4O68cBeWZmQC6wGaho2jDrrqqqilmzZtVpmJkzZ9b77V2FhYWcfvrp3H333bRt2zZqf8653X7zi1ZERERERMRTwkdEGqoXkB/yfWXwW6h7gRHAauAL4PvOuWb/TvPS0tI6J1LMrNbqX5GUl5dz+umnc95553HaaacB0K1bN9asWQPAmjVr6Nq1K+BL9OTn71rkK1eupGfPnnWepoiIiIiItFxK+IhIQ0XKiIQXQTkGmAP0BMYC95rZbkVYzOw7ZjbTzGZu2LAh0XHWWWZmZsTSNLE458jMzKzzMJdddhkjRozghhtu2Pn7SSedxJQpUwBftezkk0/e+fvUqVMpLS1l6dKlLFq0iIkTJ9ZpmiIiIiIi0rIp4SMiDbUS6BPyvTe+JE+oS4BnnbcYWAoMDx+Rc+7vzrkJzrkJXbp0abSA45WSksL48ePrNMyECRNISanbofWDDz7g0Ucf5a233mLs2LGMHTuWl19+mVtvvZU33niDIUOG8MYbb3Drrb497FGjRnHWWWcxcuRIjj32WO677z5SU1PrNE0REREREWnZ0pIdgIjs8T4FhpjZAGAVcA7w7bB+VgBHAu+ZWTdgGPBNk0ZZTxdddBFffvllXA03Z2dnc+GFF9Z5GgcddFDUkkRvvvlmxN9/8pOf8JOf/KTO0xIRERERkdZBJXxEpEGccxXAtcBrwALgKefcPDO70syuDHr7P+AAM/sCeBO4xTm3MTkR183EiRMZM2ZMrdW0MjMzGTNmjKpWiYiIiIhIs6ASPiLSYM65l4GXw367P+TzauDopo4rEVJSUrjzzju58cYbmTt3bsSSPtnZ2YwZM4Y777yzztW5REREREREGoMSPiIitcjKyuIvf/kLM2bM4JFHHmHmzJmYGc45JkyYwIUXXsjEiROV7BERERERkWZDCR8RkTikpKSw3377sd9++1FVVUVpaSmZmZlK8oiIiIiISLOkhI+ISJyKiop45ZVXeOeddygsLCQ3N5dDDz2U4447jpycnGSHJyIiIiIispMSPiIitaioqODee+/l6aefJiUlpUY7PrNnz+ZPf/oTZ555Jtdeey1paTqsioiIiIhI8qkugohIDBUVFVx//fVMmzaN0tLS3RptLi4uprS0lGnTpnHDDTdQWVlZ52nk5+dz+OGHM2LECEaNGsU999wDwG233UavXr0YO3YsY8eO5eWXd7WLffvttzN48GCGDRvGa6+91rCZFBERERGRFkePokVEYrj33nuZPXs2JSUlMfsrKSnhs88+4y9/+Qs/+MEP6jSNtLQ07rzzTsaNG8f27dsZP348kydPBuD666/npptuqtH//PnzmTp1KvPmzWP16tUcddRRfP3116SmptZpuiIiIiIi0nKphI+ISBRFRUU8/fTTtSZ7qpWUlPD0009TVFRUp+n06NGDcePGAZCXl8eIESNYtWpV1P5feOEFzjnnHDIzMxkwYACDBw9mxowZdZqmiIiIiIi0bEr4iIhE8corr9T5LVwpKSm88sor9Z7msmXLmD17NpMmTQJ8CaMxY8Zw6aWXUlBQAMCqVavo06fPzmF69+4dM0EkIiIiIiKtjxI+IiJRvPPOO7u12VOb4uJi3n333XpNr7CwkNNPP527776btm3bctVVV7FkyRLmzJlDjx49uPHGGwFwzu02rJnVa5oiIiIiItIyKeEjIhJFYWFhkw1XXl7O6aefznnnncdpp50GQLdu3UhNTSUlJYUrrrhiZ7Wt3r17k5+fv3PYlStX0rNnz3rFKiIiIiIiLZMSPiIiUeTm5jbJcM45LrvsMkaMGMENN9yw8/c1a9bs/Pzcc8+x1157AXDSSScxdepUSktLWbp0KYsWLWLixIn1ilVERERERFomvaVLRCSKQw89lNmzZ9epWld2djaHHHJInabzwQcf8OijjzJ69GjGjh0LwG9/+1ueeOIJ5syZg5nRv39/HnjgAQBGjRrFWWedxciRI0lLS+O+++7TG7pERERERKQGi9QWhIhIsk2YMMHNnDmzxm8LFixgxIgRTRZDUVERkydPprS0NO5hMjMzeeONN8jJyWnEyJKnqdeBiIjInsDMZjnnJiQ7DhGRUKrSJSISRU5ODmeeeSZZWVlx9Z+VlcWZZ57ZYpM9IiLScuUXFPH3d5fw+ry1yQ5FREQSRAkfEZEYrr32WvbZZ59akz5ZWVmMGzeO6667rokiExERSZx/vreU3768kCsfm8Xn+VuSHY6IiCSAEj4iskdp6mqoaWlp3HXXXZxxxhlkZmaSnZ1do3t2djaZmZmcccYZ3HXXXS26LR1VARYRabnSUg2AFDPSUizJ0YiISCKoDR8RaZYiteGzdOlS8vLy6NSpE2ZNfzFaVFTEK6+8wrvvvkthYSG5ubkccsghHHfccS2+Gpdzjk2bNrF9+3YGDBiQ7HBERCTB1m8r4X/z19GnUw4HD+mS7HD2OGrDR0SaIyV8RKRZipTwKS8vZ+XKlZSUlCQpqtYtKyuL3r17k56enuxQREREmhUlfESkOdJr2UVkj5Genq7SJSIiIiIiInFQGz4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4iIiIiIiIiIi2MEj4i0mBmdqyZfWVmi83s1ij9HGZmc8xsnpm909QxioiIiIiItCZpyQ5ARPZsZpYK3AdMBlYCn5rZi865+SH9tAf+ChzrnFthZl2TEqyIiIiIiEgroRI+ItJQE4HFzrlvnHNlwFTg5LB+vg0865xbAeCcW9/EMYqIiIiIiLQqSviISEP1AvJDvq8Mfgs1FOhgZtPNbJaZXRhpRGb2HTObaWYzN2zY0EjhioiIiIiItHxK+IhIQ1mE31zY9zRgPHACcAzwMzMbuttAzv3dOTfBOTehS5cuiY9UREQa1bbiMpZv2kFVVfhpQERERJqaEj4i0lArgT4h33sDqyP086pzbodzbiPwLrB3E8UnIiJNYM2WYi765wwO/cN0Hnz/m2SHIyIi0uop4SMiDfUpMMTMBphZBnAO8GJYPy8AB5tZmpnlAJOABU0cp4iINKIFa7cxO38rAI98tJxKlfIRERFJKiV8RKRBnHMVwLXAa/gkzlPOuXlmdqWZXRn0swB4FZgLzAAedM59mayYRUQk8YZ3a8uYXu0AOG9SX1JTItX4FRERkaZizunpi4g0PxMmTHAzZ85MdhgiIlIHW4rK2LyjjH6d2ijhI62Kmc1yzk1IdhwiIqHSkh2AiIiIiLQM7XMyaJ+TkewwREREBFXpEhERERERERFpcZTwERERERERERFpYZTwERERERERERFpYZTwERERERERERFpYZTwERERERERERFpYZTwERERERERERFpYZTwERERERERERFpYZTwERERERERERFpYZTwERERERERERFpYZTwERERERERERFpYdKSHYCIiIiIiCTW5sIynvh0OWbGufv2pUObjGSHJCIiTUwJHxERERGRFua/X6zmD699DUD77HS+PalfkiMSEZGmpipdIiIiIiItTIecXSV62ueodI+ISGukEj4iIiIiIi3McaN7MCUrDTPjoMGdkx2OiIgkgRI+IiIiIiItTGqKceiwrskOQ0REkkhVukREREREREREWhglfERERESkVfhmQyGvfrmGDdtLkh2KiIhIo1OVLhERERFp8TYXlnLZwzNZumkHJ+3dgz+fOy7ZIYmIiDQqlfARERERkRZvR1kl+QVFACzZsIOqKpfkiERERBqXSviIiIiISIvXp2MOfzl3H2YuK+CYvbqTkmLJDklERKRRKeEjIiIiIq3CcaN7cNzoHskOQ0REpEmoSpeIiIiIiIiISAujhI+IiIiIiIiISAujKl0iIiIiEtWmwlJWbSlmSNc8sjNSo/a3fOMOHvl4OXlZaVxyQH/a5WQ0YZQiIiISTgkfEREREYloU2Epl0/5lNn5W7ni4AH85ISRUft9bs4qHnp/KQADOrfh5LG9mipMERERiUBVukREREQkopUFRczO3wrAS3PXUF5ZFbXfPh1yAEhPNXq0y67Rrayiine/3sC8VVsbL9h6WL5xBw+++w3vfLWh1n4/WLyRW5+Zy7RZ+U0QWcO9MX8dD777DSuDV9HHyznHvz9ZznkPfsx/Pl/dSNHtUlJeydMz83n8k+VsKylv9OmJiLQmKuEjIiIiIhEN7daWyw7qz3/nruXGo4eRnhr9WeEp+/Sid4dscjJTGd2rfY1uT8xYwS9enEdmWgpPfXd/9u7TPuI4arOpsJRHPlqOAefv34/OuZn1Gk+1+6Yv4amZ+aSnGv/93kEM7dY2ar+/fXkB81Zv48mZ+Yzr24GBXXLjmkZVleOVL9ewblspJ+7dgy55WQ2KOR5frNzCdx+dSZWDVVuK+cVJo+Ieds3WEn7y/Jc4B1+vLeSokV3JTm+8W4bX563l5mlzAaiorOKiAwY02rRERFobJXxEREREJKLsjFR+9q1R3HLscDLSorffA5CaYkwa2Clit9VbigEorahiw/aSesfz8hdruOfNRQB0bJPBhQf0r/e4AFLN/08xw7CY/Y7p3Z55q7cxtGse7XLSd+u+ZUcpz3y2irJKx5kTeu9MRn28dBPX/Hs2AFuLy7h+8rAGxRyPFDNSzKhyjtSU2PMVrkNOOkcM78qbC9Zz9KhuZNWy3hsqNWVXEjEtRZUPREQSSQkfEREREYmptmRPbc7atw8VVY6ueZkcOLhzvcfTNaR0TNe2dSvds3ZrMV+u2saonm3p0d5XObv6iMEM75HHkK55DOmWF3P4W48dxvF7dWdAlzZ0alNz2is27eCu/33Nc7N9FajUFPjOIYP8ZzPMwDlIsaZJaIzq1Y5/XbwvyzbvYPKIbnUaNjsjjT+duTfLNxcxqEsuZnVLGNXV5JHd+PM5YymrrOL4vXo06rRERFobc84lOwYRkd1MmDDBzZw5M9lhiIhIM+Kc4+NvNgGw38BOcScjSsoruWzKp3yweBP7DezIwxdPJCvGG8fq6sXPV/PcZ6t4+6v1ANx+6mjOndR3Z8z/W7CODdtLOXavHnRsU/+3l81bvZWv1xay38COO5NW0jyY2Szn3IRkxyEiEkolfERERESkUTjnElpCxMzYf1DdSwiVVlTxZdBg9JertlFSUZnQhM+Y3u147KOlHDuqG5MGduTUcbveUGZmTB7ZvcHTWLe1hEv/9Snrtpdy8t49uefcfRo8ThERadmU8BERERGRhJuxdBO//u8C+nfK4cfHj6B7u+SVSGmXnc5dZ43l7a/Wc+iwrrTPqX8pm0j6d2rDlEsnUVbpaJe9e/s+iVBSXsnmojIA1jWgHSQREWk9lPARERERkYR7Yc5q5q7cytyVWzl8WFdOHdc7qfEcMaIbR9SxPZu6yM5IozFTWv06t+Fv541nTn4BR49qeIkhERFp+ZTwEREREZGEG92rHQBts9IY1DW+V5hLbEeN7MZRIxsvaSUiIi2LEj4iIiIiknBnTejDiB5taZudxoDOSviIiIg0NSV8RFo5M8t0zpUmOw4REWlZUlKMvfu0T3YYjWbNlmJm529hePc8BnZRQktERJqflGQHICJNx8z+GfY9F3g5SeGIiIjskUorKrlp2udc/fhnXPbwTDYV6rlJQ329bht/eG0hz362EudcssMREWkRVMJHpHVZZWZ/c85dZWYdgP8C/0h2UCIiInuS0vIqvghe875s8w62lZTTKTczyVHt2f75/jKmfpoPwIDObdinb4ckRyQisudTwkekFXHO/czMfmdm9wPjgTucc88kOy4REZE9SdvsdP54xt68Nm8d+w/spDaKEqBjmwwAcjJSyctqnFfbi4i0NqYikyItn5mdFvoV+BkwA3gVwDn3bDLiimXChAlu5syZyQ5DREREmsCWojLeW7SRPh1zGLsHtv1kZrOccxOSHYeISCiV8BFpHU4M+z4bSA9+d0CzS/iIiIhI69E+J4MT9+6Z7DBERFoUJXxEWgHn3CXJjkFERERERESajhI+Iq2ImXUBrgD6E7L/O+cuTVZMIiIiIiIiknhK+Ii0Li8A7wH/AyqTHIuIiIiIiIg0EiV8RFqXHOfcLckOQkRERERERBpXSrIDEJEm9ZKZHZ/sIEREpPnL31zEb/47nz+98TUFO8qSHY6IiIjUkUr4iLQu3wd+bGalQDn+Fe3OOdc2uWGJiEhzMWdFAZ+tKGDTjjL+8d5SAPp2zOaM8X2SHJk0hTVbi9laVM6w7nmYWbLDERGRBlDCR6QVcc7lJTsGERFpvtZvK+HyKTPZuKOMU8f6V2SnpRg922cnOTJpCkvWF3LBPz9hzdYS/njm3pw+rneyQxIRkQZQwkeklTGzDsAQIKv6N+fcu8mLSEREmouKqioKyyoA+GxFAY9eNpF22emM6d0+uYFJk/hm4w5WbykBYG7+FiV8RET2cEr4iLQiZnY5vlpXb2AOsB/wEXBEEsMSEZFmomf7HB64YDyffLOZQ4Z2Yb+BnZIdkjShfft34JID+/PNhh2cPLZXssMREZEGMudcsmMQkSZiZl8A+wIfO+fGmtlw4JfOubOTHNpuJkyY4GbOnJnsMEREWqSyiipen7+WbcXlHLNXdzq1yUx2SCJ7NDOb5ZybkOw4RERCqYSPSOtS4pwrMTPMLNM5t9DMhiU7KBERaVr//WIN1z85B/Bv47rluBGNMp1lm3bwyTebGNGjraqFiYiINDElfERal5Vm1h54HnjDzAqA1UmNSEREmtymwtKdn9dvb5xXrpeWV3LjU3OYtXwL7bLSeOaqAxjcTe8OEBERaSpK+Ii0Is65U4OPt5nZ20A74NUkhiQiIklw/OgeLNu4g007yrhgv36NMo2SiioWrSsEYGtJBX94/SsmDejEpQcNaJTpiYiISE1qw0eklTCzFGCuc26vZMcSD7XhIyLSvJSUV/LsZyvZVFjKKfv0pk/HnFqHeX3eWl6Ys5oq5/hg8UYAPrz1SHKz9MxRWha14SMizVFKsgMQkabhnKsCPjezvsmORURE9jz/W7COHz/3JXe+sYiH3l8a1zBHj+rO3eeMpXNuBttKKjh3Yl/aZKY2cqQiIiICqtIl0tr0AOaZ2QxgR/WPzrmTkheSiIjsCUILhVfVoYR4emoKP/3WSK48dDBd22ZiZo0QnYiIiIRTwkekdfllY4zUzI4F7gFSgQedc3dE6W9f4GPgbOfctMaIRUREGsdRI7rxfyfvxcbCUk7bp1edhs1MS6VXh+xGikxEREQiUcJHpBVxzr0Tq7uZfeSc278u4zSzVOA+YDKwEvjUzF50zs2P0N/vgNfqFrWIiDQH2RmpXLB/4zTwLCIiIomnNnxEJFRWPYaZCCx2zn3jnCsDpgInR+jvOuAZYH0D4hMREREREZE4KOEjIqHq89q+XkB+yPeVwW87mVkv4FTg/lgjMrPvmNlMM5u5YcOGeoQiIiLNwdfrtvGXNxfx+ry1yQ5F6qGotIK/vr2Yn7/wBV+t3Z7scEREpJ5UpUtEGipS65vhiaO7gVucc5WxGut0zv0d+Dv417InKkAREWlav3vlK95cuJ4UgxeuPZDRvdonOySpg4++2cTvX/sK8I1u/+xbo5IckYiI1IcSPiISqj6vTlkJ9An53htYHdbPBGBqkOzpDBxvZhXOuefrE6SIyJ6gpLySrUVltMvJICu9db2KPDXFn07MjJR6nVokmbq3y6JNZio7Sivp16lNssMREZF6UsJHREJdUI9hPgWGmNkAYBVwDvDt0B6ccwOqP5vZw8BLSvaISEu2sqCInz3/JdO/3sABgzrx21NHt6ob5x8eO4x9+rZnaLc8RvVql+xwpI5G9WzHs1cdwOYdZUzo3zHZ4YiISD0p4SPSipjZafg3ZXXFl+YxwDnn2uI/fFnXcTrnKszsWvzbt1KBfzrn5pnZlUH3mO32iIi0RM9+toq3v/JtkX2weBPTZq7kxmOGJTmqpjO4ax6Du+YlOwxpgGHd2yY7BBERaSAlfERal98DJzrnFiRypM65l4GXw36LmOhxzl2cyGmLiDRHJeWVNb4XhX0XERERaWx6S5dI67Iu0ckeERHZ3bF7dad72ywAOrfJ4PjR3ZMckdTFJ0s38fbC9ZRVVCU7FBERkXpTCR+R1mWmmT0JPA+UVv/onHs2aRGJiLRAY3q356kr92P5xiL6dMyhf+fW037Pnu79RRu58J+fUOXgjtNGc87EvkmLZfWWYu57ezGlFVVcc9hgBnTRdiQiIvFTwkekdWkLFAFHh/zmACV8REQSrG/HNvTtqBv0Pc3mojKqnP+8cUdp7J4b2dsL1/P4JysAGNylDVceNjip8YiIyJ5FCR+RVsQ5d0myYxAREWnOjhjehR8dN5wdpRWcvk/vpMYyqGsumWkpVFY5hnZLfiPYc1duYcXmIg4c1JkObTKSHY6IiNTCnHPJjkFEmoiZZQGXAaOArOrfnXOXJi2oKCZMmOBmzpyZ7DBERESSavH6QiqrqpL+1qyv123j1L9+SPvsDE4Z15Objx6+s9vSjTtYs6WYcf06kJWemsQok8fMZjnnJiQ7DhGRUGq0WaR1eRToDhwDvAP0BrYnNSIRERGJanDX3KQnewA2FpYxtk97sjNSeferDSxa5y8fVmwq4py/f8S3H/yEh95fmuQoRUQklBI+Iq3LYOfcz4AdzrkpwAnA6CTHJCIiIs3chH4d6dU+m8XrC/li1Tbe+XoDAOu3l7Bum2/raOHabckMUUREwijhI9K6lAf/t5jZXkA7oH/ywhEREZE9QUZaCpNHdiMtxcjOSGGvXr7UUbe2GRw3ujsHD+lMbmYaai5CRKT5UKPNIq3L382sA/Az4EUgF/h5ckMSEZHW4P1FG3h9/jr2G9CJ48f0SHY4rUJJeSX/+mApSzfu4OwJfRjfv2ODxjd5ZHde+f7BpKUaAzrnApCRlsaMbzazaUcZRw7vgpklInQREUkAJXxEWhHn3IPBx3eAgcmMRUREWo+yiip+/NyXrNhcxBMzVrBPv/b0aJed7LBavBlLN/G7V78CYHtJRYMTPgBDwt4W1q1tFg9dPIH5q7dx4ODODR6/iIgkjqp0ibQiZtbNzB4ys1eC7yPN7LJkxyUiIi1beqoxqqdPFAztlkebjMQ8cyyvrKK8sioh42qJOudmkpXuL/f7dspptOmM7dOBb0/qR79ObRptGiIiUnd6LbtIKxIkev4F/MQ5t7eZpQGznXPNruFmvZZdRKRl2bi9lA+WbGT5ph3sKK3kwv3706tD/Uv5LFyzjVuemYtzjjtOH8PInu0SGG3LMXflFlZtKebAQZ1om53RaNPZVlLOs7NWUVFVxWnjetOxTeNNqznSa9lFpDlSlS6R1qWzc+4pM/sRgHOuwswqkx2UiIi0fJ3zMlmxuYg/vbEIgNysNK47YkjU/p1zPDFjBTOWbubUcb04dGjXGt0/WLKRz1duBeDDJZsiJnw+WLyR6V+t56AhXTh0aJcEzs2eY0zv9ozp3b7Rp/PS52u47T/zdn6//GDVHBcRSTYlfERalx1m1glwAGa2H7A1uSGJiEhr0S4rfdfn7PQYfcLSjTv48XNfAvDVusLdEj7j+3aga14GVVUwrm+H3YbfXlLO9U/OZv32Mp78NJ93bj6cDgkudbJkQyHlFVUM79E2oePdE6WlhH5Ww80iIs2BEj4ircsN+LdzDTKzD4AuwBnJDUlERPZkW4rKAGifU3sy5YzxvcnN8pefx47qHrPfDm0yGNOrHXNXbWXSwN0bGx7btwOv/uAQHNCpTeZu3TNSUxjQOZf12zfTr1MOGemJbbry06WbueCfn1Be6fjbeeM4upb5aelO3LsnYJRXVQWfG09pRSUvfb6a0grHt/buQdus2MlDEZHWSgkfkVbEOfeZmR0KDAMM+Mo5V57ksEREJIbKKkdqMy0xMXPZZq5+/DPM4K/fHlfrW6ByMtM4bVzviN3Wbyvh7+9+Q3F5JVccMpD+ndrw9wvHs2xTEaN6RS5B0zFCoqdaZnoqfzxzbz7P38Lo3u0S0lB0eWUVz8xaydptJXTLy6Sk3DcY/fX6Qo4e1eDRN9icFQU8OTOfYd3bcv6kvqSl1j/JtbWojD+/tYilG4u49vDBjOu3eymqUNkZaZy1b596T2/NlmI2FJYyskfbWuN+Y946bnx6LgAVVVVcuH//ek9XRKQlU8JHpBUxs1TgeKA/fv8/2sxwzv0pqYGJiMhu8jcXcfsrC5i/ehs/OGoop+zTK9kh7ebjbzazfnspAB99s7lBr/1+66v1PPj+UgB6tc/m6sMH071dNt0b8Pr2Ph1z6NMxcW+n+vibTdz67BcAXHpgfy7cvx87yio4bq/mUbpnykfLeW72KgBG92rH+FqSNLF8uryAh95fBkDvDtm1JnyqfZ6/hfLKKsb364BZfInK/M1FnP/QJyzfVMRtJ47k4gMHxOw/dLzNMxUqItI8KOEj0rr8BygBvgD0HlsRkWbshTmrePmLtQDcPO1zJg3sSI8GJD8aw8QBHemQ46vTTBpQ/2QPwIBObchMS6G8soqBXZrn673zstJISzEqqhyd8zK5+rDByQ6phgGd/XLrlpdJ59yGtVc0oFMberbLYs22Esb0ju8NaO99vYGLH/6UKue479v7cPzo+Kp2rdpSzPJNRQB8uWpbrf1PHtmNe84eS2lFFcePbh7JNhGR5kgJH5HWpbdzbkyygxARkdplZ6Tu/JyTnkp6SsPaoJmTX0BhSQX7DuhIZlpq7QPEYeKAjrxxw6EAdM6NXr0qHpMGduI/1x1IaUUVo3u1T0B0iTe2Twf+fcV+rN9ewqHDor/1a922Yu7+3yI2bC/l+0cOYXTwlqy1W4uZ/tUGBnfNZUIDSkNFc8XBA9inT3t6dcimX6eGJc0Gdc1l2lUHsLW4nOHd8+IaZtWWYiqrHAArNhfHPa2xvdtz/VFDmL9mG2ftG7nKX6iMtBROboYl3kREmhslfERal1fM7Gjn3OvJDkRERGI7dWxvthZXsKqgiFPG9qJzXv0TKm8uWMd3Hp1FZZXjh8cM4+rD61cyZcWmHXy6rIAh3XJ3vuq7oYmeUEO7Nf+3XU2MoyTT9K828MSMfAD6dcrZmfD5y1uLefyTFeRkpPLf6w5iQJfchMaWnZHGwQl8/XzP9tn0bB9/qbKjRnbjmoIiyiqqOHFM9NI967eVYGZ0CbbprIxUvn/U0AbHKyIiNSnhI9K6fAw8Z2YpQDm+6rtzzjX/K2wRkVamY24GN0xOzE3wl6u37ix58eGSjfVK+Owoq+AHT87hsxVbaJuVxrNXH8jgrolNWDSF/85dzRvz1zF5ZDdOiJGUaIgBnduQkZpCWWVVjWW0o6wCgLKKKsoq98ya1cVllbwxfy0ZaSkcNaJbjQaWO+dmcvMxw2MO/+nSzVw+5VNSUoyHLto37raBRESk7pTwEWld7gT2B75wzrlkByMiIvVXVeV4bd5alm3awaFDuzCyZ/R2Vg4e3IXHP17Oph3lnD6+9iozkewoqWDuyq0AbCupYN22kj0u4VOwo4ybp82lqKyS1+ev48DBneN6nXxdTRzQieevOZDtJeU1qm5dd/gQBnfJZWi3PIZ13zOftTw/ZxU/ChqufuD8cRyzV486DT8nfwtbSyqCzwVK+IiINCIlfERal0XAl0r2iIjs+d5csI6rHv8MgCc/zee5qw+kQ5vIyYtx/Trw3+8dTEl5Vb3fWtW1bRa/OXUv/vr2Yo4e1Z1xfdvXN/SkyclM5eAhnSmtqKJH2yywxjsdjuy5e0JnUNdcrj1iSFzDz1mxhbmrtrD/wE4M6RZfGzpNoaS8ctfnirqXUjpkaGden9+BFDMOGtI5kaGJiEgYJXxEWpc1wHQzewUorf5Rr2UXEdnzrNlasvPzsk1FbC0ui5rwAeiSl9XgaZ69b1/OHN+HlJQ982XYmWmpnDepL5c8PJPKKsegrrlcfvDAZIe1m7Vbi7nk4RkUFJUzpnc7nv7u/mSmJ6ah7WpzVhTw0hdr2Lt3e07cO/6qbafu0wvnICs9haNH1v0NWcO6t+XJ7+wPsMduRyIiewolfERal6XBX0bwJyIie6hDh3VhfL8OzF5RwA2Th9K3Y9O8ynxPv0kvr3Q72zPaUlSe5GgiKymvorDUV3vaXFhGRVUVmSQ24fOnN77m3UUbSTEY0SOPwV3jK0XUPieDSw8a0KBp7+nbkIjInkIJH5FWxDn3y1jdzewvzrnrmioeERGpv36d2vDopRPZXlJB17aZmOkmOh4HDu7Mr08ZxYbtpZw5oU+yw4mof+c2/PXb4/h0+WaOGN6NNpnpFJVW8NIXqykrd3xr7x4Nbnuod1C1r1teFrmZ6YkIW0REmhklfEQk1IHJDkBEROKXk5lGTqYu5+oiKz2V8/frn+wwajV5VHcmj9pVZWrarJX8/MV5ABQUlXHdkTXbAlq2sZDs9DS6tYuv6t6Nk4dy0ODODOqSS/c4hxERkT2LrhBEREREpEUp2FHG6/PX0TEnnSNHdGsRVYi2FJeFfK5ZFe31eWu5+vHP6JybycOX7svwON4A1ik3k+NH1+0NWyIismdRwkdEREQkii9XbeXxj1dQWlHJWRP6sN+gTskOSeLwyEfLuOt/iwB4+JJ9OWxY1yRH1HCn7tOLjYVllJRXcda+vWt0m52/hYoqx9ptJXy1dntcCR8REWn5lPARkVB7/iNQEZEE2VFazk1Pf87CtdsBePur9bx03UH06lC/15pL0yks3fXq8B1B48d7uj4d2/Crk/eK2O3YUd34bHkBPdplMWlAxyaOTEREmislfEQk1D3JDkBEpLnYVlLBV+u27/xeUFTOxh1lSvjUYm7+Fn7/2kI6tcnkh8cOp1eH7CaP4fz9+pKZlkKn3HSOGN78S/cs3bCDV75cw+CuuRw9qu6vOt+7Twee/O7+jRCZiIjsyVKSHYCINB0ze8PM2od872Bmr1V/d849nIy4RESao865mZwxblfVmQMHdWJAJyV7avPi3NW8v3gTL3y+mulfrU9KDP06teGmY4ZxyYEDyc5o/s83H3h3Cb9/7Suuevwz5q3emuxwRESkhWj+Z0ARSaTOzrkt1V+ccwVm1vwffYqINIKS8koWry+kfXb6zldUh0pPTeFn3xrBAYM6UVZZxeHDu9I2u2Gvwg63YM02Xpyzig5tMjhrQp8Gv2q7ORgRtB+TmZbCoK65SY5mz5CVngpAWoqRkarnsSIikhhK+Ii0LlVm1tc5twLAzPoBLskxiYg0uYVrtvHzF75kxrICMtNSuPHooVx64ADSwm6222ZncOq43lHG0jCl5ZXcMm0uc1f5Eh1VDq48dFCjTKspnTauFwM6t6FNZirD1HhwXK46bCDDuucxsHMbhnTLS3Y4IiLSQijhI9K6/AR438zeCb4fAnwnifGIiCTF/e8sYcayAgBKK6r47csLGdG9LQcP7dJkMZRUVPHNxh07v2/YVtpk025MZsa4fh2SHUajKC6rYGtxOd3b7WqXqLSiEhxkBqV06qNb22zOndi3wfFtKSqjpLyyRnwiItJ6qcyoSCvinHsVGAc8CTwFjHfOvRZ7KBGRlmV7STlvLdy9bZnQBpqbQrvsdH5x4khf9alzG04a26NJpy91s2lHKVc99hkH3PEWj360DIBF67Zz1gMf8a2/vM/n+VuSGt+SDYWc/rcPOfQP0/nfgnUx+/08v4B73vya9xZtqLW/X774JU/PzMc5FQgWEdnTqISPSCtgZsOdcwvNbFzw0+rgf9+gitdnyYpNRKSptclIY+KAjvxvQc2kT79ObZo8ljMn9OGI4V3JTE8hNzO91v5LyiqpwpGzBzRE3NIsWlfI9K99guTfM1Zwwf79mbF0M5/n+yp57y/eyN592jdqDMs27WB7cTmjerYjJcVqdFu4ZhtLNvgSYx9/s4mjRnSLOI6Sskpuenoui9YXkpmWwhs3HErfCG1YAfxt+je8Om8tACN7tGVUr3YJnBsREWlsuloQaR1uwFfdujNCNwcc0bThiIgkT0qKcdVhg1i4ZjsrtxQDcPEB/ThocOekxNMpNzOu/mYs3cytz8ylrKKKO04fzUFDalY/Kymv5Ot12+nWNpNubVWlJ9GGdM3l4MGdeX/JRs7Ztw8Ae/dtT58O2ewoq2Ri/46NOv25+QVc/+Qclmws4jen7MV5+/Wr0X1c3w4cObwryzcVMTlI9hSVVvD+4o10bZvJ2D6+mp0ZpKX6ZFFaqsUs7l+dCOqWl0m77NoTkiIi0ryYimeKSHM0YcIEN3PmzGSHISIt2KbCUr5YtZUOORmM7rV7iYnGtHRDIVuLyxnVqx3pcb6V6eanP+fpWSsBOHJ4Vx66eN8a3e94ZQH3v/MNQ7vm8s9L9uWLlVv5ZOkm9u3fkRPG9Ez4PLRGRaUVbCkup0e7LMz89rK1uJzKqio6tokvcVcfX6zcys3T5pBiKWSlp9K/Uw5/Onvsbv1VVTkqqhwZaX6buv+dJdzxykIy01KYdtX+jO7VHoAvV23lvUUb2LtPew4YFD3Rua24jBlLN9OvkxqTro2ZzXLOTUh2HCIioVTCR6SVMbMDgP6E7P/OuUeSFpCISJJ0ys3ksGFdm3y6Hy3ZyGVTZlJUVskNk4fyvSOHxDVc17a7Egq9O9QswVNWUcXzs31t3a/XF/LJ0s38cNpcKqscj3y0nL6dchjdqz1bi8rIzkjbmRCQusnJTCMns+blc1OUfHnn6w0sXFsIwKFDO3Pc6MjtPaWkGBkhicuN231D4KUVVRTsKN/5+1692rFXHNWz2mZncNTI7g0JXUREkkgJH5FWxMweBQYBc4DK4GcHKOEjItJEPl1WQFGZPwQ/MWMFVx02KK5SPpccMIC2WelUVDlO26dXjW4ZaSlcddgg/u+l+Rw6tAs922VRWeVLcVc5327LfW8v5q9vL2ZUz7b85tTRKrGxBxnfrz1ts9LIyUjlmsMHM3FAp7iG+/akvmSkpdC9XRb7DYxvGBERaTlUpUukFTGzBcBItwfs+KrSJSIt1TtfbeDyRz6lvNLx3UMG8qPjRyRs3Bu2l5KXlUZGagqPf7KcNxeu5/BhXdmrZ1tOv/+jnf1deehAbj0ucdNNtC9WbuUf7y+hc5tMrjpsEF3yspIdUtJt2F5KqkHHONt82pMs2VDIp8s2M7Z3e4b3aJvscOpFVbpEpDlSCR+R1uVLoDuwJtmBiIg0V0WlFbz8xRoWrNnO4G65nDC6O22zMxI2/kOHdeH5qw+koLiM8X0T29Bvl7xdyYAL9u/PBfv3B2BOfkGN/lJT6lala+HabawqKGZs3/Z0asS2aqpN/XQFL87xp6pBXXJ3a6C4uVtZUMSyTTvYu3d78rLqVuVrzootfLl6K/sP7MSgrrk7fw9dty1JaUUlNz/9OZ+t2MKATm144doDaVuHanLllVVxt4MlItLaKOEj0rp0Buab2QygtPpH59xJyQtJRKR5efjDZfz+ta92fl+2ccfOUjhVVY4XP1/F83NW0zEng29P6suEerydqalfbz2mV3tuO3EkD7z7DaN6tuXMCb3jHvbz/C18+8GP2VFayeSRXfnLOePIykhtxGihe7tdJXq6td2zEh2bC0u5fMpMFq7dzsUH9OO2k/aKe9hVBUVc8vAMCorKGd+vA09csd9u7S19sXILn6/cysQBHRjabc8sDRPKVcGWYt++UEFRKRVVVXEP+7/567jtP/M4aHBnfnLCiDon10REWjolfERal9uSHYCISHNWWFrOPz9YWuO3f32wjMsOGkDXtlm8u2gDP3jy853d3lu0gf9+72C6tm3eVY5SUoyLDxwQtOlSt2TNgrXb2FHq2xx6Y/56Nu0oo1dG4772/eID+9OvUxvaZaVxyNAutQ/QjGwuKmPh2u0AzF6xJa5hPs/fwlsL1zGyZzu2l1QAsLGwhMqqKgh5cfr67SVcPmUm67aXMrJHW6ZdtT85GXv25XxWRip/OGNv3l+0gUkDO9bpbWfPzV7FyoJipn6az+njerPvgMSWmBMR2dPt2WcIEakT59w7ZtYNqH6X7wzn3PpkxiQi0pykp6TQJS+TjYVlO39rn5NOZrpPksxdubVG/xsKy/hq7fZmn/CpVtdkD8A+fTrQp0M2+QXFXLBf3yapWpSXmc5Je++Zr5If1CWXO04bzWcrCuKah8oqx89e+JK5K7eSm5nK788Yw4I12zhqRDeyw5I55RVVFBT50jAbCkupqGz2TfLFZXy/Dozv16HOwx0ytDMvf7mGif07MqBzm0aITERkz6aEj0grYmZnAX8ApgMG/MXMbnbOTUtqYCIizURmeirfO2II1z0xm4oqhxn88JjhO1+9HX5TmZmWQt9OOckItckM657H01cewPrtJQzpmqdXukewtbgc5xztczIwM86Z2JdzJvaNa9gUgw5tfBtReZnpHDK0C6eNi1zlrleHHO47bx8+WbqZI4Z1rbWtm4IdZeRlpZHWQtu4OXvfvhw4uDPtstNVnUtEJAK9pUukFTGzz4HJ1aV6zKwL8D/n3N7JjWx3ekuXiCTTwjXb+GrddgZ2acPoXu13/l5cVsk/P1jKP977hq65mdxwzFCOHdUjeYFK0n2xcgtXPvYZFVVV/O288YyrR0mVFZt28MnSzYzq2ZaRPRPTvtOUD5dxxysLOXHvHvz8xJHkZjZeQqSsoor/LVgHwFEjujV6UrCwtJx5q7bRr1MO3ds1bvXCeOktXSLSHKmEj0jrkhJWhWsToY0DiIgIAMN7tI34eujsjFSuOXwwF+zXj4zUlEZvvFiav5nLC1i1pTj4vLleCZ++ndrQt1PiqiSVVVTy1+mLKS6v5KmZKzl/v3707ehLorXPSdwb56q9/MUafvDkHADuPnssp+zTK+HTCPXH17/m4Q+WMaZ3O6ZcOpEOjTBPIiItgW70RFqXV83sNTO72MwuBv4LvJLkmERE9jhts9OV7BEA9hvYiRE98hjaLZcDBnVOdjiAb6vp7H37AHDw4M4Ul1Vywp/f55i73mXW8oKET6+kvHLn5+Kyyhh9xqe0opJNhaVRu3+yZBPg29Qq2FEWtT8RkdZOJXxEWhHn3M1mdjpwIL4Nn787555LclgiIiJ7rBE92vL81QfiHBSWVlBUWkFOZvIvsa87Yggn792Lrm0zeeazlbtKIS3bXK8GkmM5Ye8elFZU4YLPDbGtpJyfPv8lr36xlv87ZRRn77t7W0i3HDecZ2evZL8BndVYs4hIDMk/G4lIk3LOPWNmbxDs/2bW0Tm3OclhiYi0am8uWMes5QUM757HCWN6kppiSYmjqsrx2YoC0lNT2LtP+6TE0Bx9vW4b90//hnbZ6Vxz+GA6h72pLDM9lRfnrOKmp+eyT9923H32PvRo3zhty6zbVsKbC9fTu30WhwztGrW/9NQUBnXNBWDSgE7s1bMtFZWOAwcnvhRSXmY6Fx3QPyHjWrGpiBfnrAbgmc9WRkz4HDasK4cNiz7vIiLiKeEj0oqY2XeBXwHFQBW+lI8DBiYzLhGRZFmyoZBXv1zL9pJyDhzUmYOHdknYuKuqHClxJG4+WbqJ7zw6i8oq/yKNrPRUjh7VPWFx1MXTs/K55ZkvSDH463njOHYvNUgN8NLctTw7exUAo3u32+0tWm8tXMezs1dRVlnFJ0sL+HL1tkZL+Pz5zUU8/skKzODfl09i/ziqkY3o0ZZnrjoA8MmpRJi/eivvLdrIuL4d2HdAx4SME6B/5xzOGN+LV75Yy1kT+iRsvCIirZESPiKty03AKOfcxmQHIiKSDEs2FDJj6WbaZKYxsnse331sFks27ADg7+9+wz8unMCRI7o1aBobtpdwz5uLmP7VBg4e0oXvHzk45puEVhYU70z2ACzfVNSg6TfE3JVbAahyMG/1NiV8AsO755FivtHugV1qViGatXwzl0+ZyfGje5BiMKpnO0b0yGu0WNZsLQHAOdhSVB73cJnpqawqKMLM6NnAZFRFZRU/evYLPl+5lfY56bxx/aF0CSv1VF+5menccdoYfnbCSNqpMWYRkQZRwkekdVkCJO9OQkQkiT7+ZiOXTZnJjlLfqOwpY3vuTPaAT3K8uWB9jYTPyoIicjJS6dgm/pvZf3+Sz2MfrwDgiRkr6JKXwQ2Th0Xtf5++7enXKYflm4rokJPOxASWlqirY0d156W5q2mTkcZhwxJX2mlPd/zoHvzn2oPIyUhlQJfcGt0KSyupcvDG/HUcNbIbvzpxFN0bqXQPwLWHD6ZzbiZ9O2ZzSB1KpL23aANXPDKTjNQUHrxoAhMHdGpQHOmp/t0vGalGomsgpqWmKNkjIpIASviItC4/Aj40s0+Ana+/cM59L3khiYg0jUc/WsGO0kpG9WxLpzYZZKTt/rLS6t/WbSvhT69/zdOz8umQk8Etxw7jzAl9MNv9znbdthL+O3c1q7eUMKF/B9ZuK67RfW1QIiOagZ1zeeyyiXy1rpABnXIY1LXxSofEUlXlyMlM5cELJ9A+O51vNu5gzZbiRquatKcZ1atdxN/3G9iRnxw/gnlrtnLK2F6NmuwBGNevQ71e/T5z2WZKyqsoKa9i9ootDUr4pKWm8NvT9uLDJZsY26c9nXITU7pHREQSSwkfkdblAeAt4At8Gz4iIq3G4vXbGdw1l5LyKt5dtJFBXXIZ2i2Xr9cVApCTkcrxo33bOc/MWsmTM/MB2LSjjFue/YJh3dvu1pBxRWUVv3ppPv+duwaAB99fyg+PGVqjn3hK7PTp2IY+HeN/29Ciddt58tN8sjNSOX+/fnRrm1XrMFVVjpe+WM0363dwzF7dGdGjbY3uz3y2kpunzSUtxTh5bE+e+WwV+w/sxMOX7Juwdl/2NNVV7WI1op2ZlsoVhzS/pvAqqxxvLlhHUVkFR4/szqFDu/L8nNVkpqYkpOHmod3aMrRb29p7FBGRpFHCR6R1qXDO3ZDokZrZscA9QCrwoHPujrDu5wG3BF8Lgaucc58nOg4RaRzzVm9l2cYiMtNT2GcPfpp/wpiefLpsM+8t8s2YLdlQyNBuuRw5vAuTBnTi4KFddiZBvl63vcawzsHiDYW7JXwWry9kW3E5Bw7uxNqtJSzZsIOv127n7xeO5+u1hQzpmsvkkQ1rEyiS+95ezPPBm4zSU4zvHTW0liHgoyWb+N4TcwB4b/EGnvzO/qSl7irlNH/1NgAqqhxrt/lSSXPyt1BUXtGghM9X67bz8tw1DOzchhP37hlXQ9bNwYI12/jpc1+QkmL85tS9Gj25sa2knKc+zaeorJKzJvSO2e5TPN7+aj3feXQWAL86uYIL9+/PK98/GICcjOTfAmwvKaeyytE+pOrWrOWbeeKTfIb3yOPC/ftHLIUnIiLxS/7RXkSa0ttm9h3gP9Ss0lXv17KbWSpwHzAZWAl8amYvOufmh/S2FDjUOVdgZscBfwcm1XeaItI0VmzawZ/fWsSzn62iuk3hrnmZ3DB5KGeM710jWbAnOG9SX7YWl+1M+AB8va6QZRuLuP20MXQNKSUzrHtbYPXO72YwpGvNtlsAZudv4cMlm6iscozokcewbnm0yUrn6JHdOXpk4udhW0k59721aGfDvQBllS7GELuUVFTu/Ly1qIIqV3O440f34L1FG2mXk8YJo3vQMSeD40b3oENOwxJ8v3tlIW8t/H/2zjq8rft+2/cRy0LLzMyxE8dO4nDaJE0xZcaV1nb9rWPq9g473rqto7Yrc7sypZSGmRPHzMy2LIul8/4hR7FjiJ2kbdac+7p61Tqkr47OUfR99Pk8TycAEUY1C6aQKnUiiKJIp9WFKUSJ5hRUJG2s7GJ3Yz8Am6t7JhV8dtT18vreFmbFm7hqzvitf8fjg0Pt/OrdsuFHIl9ffnwRbzJc3qOFvC5P4O/PQ+ixuTx4vCKhuok9eCrardzz3F6sDjf/uL4oWAX3zNaGoJBZmGCmKPmL87OSkJCQ+DIgCT4SEmcW1w3//4cjlp1sLPtcoFoUxVoAQRBeBC4GgoKPKIpbRmy/DRidZyshIXHa0W93893/HmB73Wg9uHPQxQ9eO4hMBlcVJ064v9Xh5o19rbx7oBWby8e5edFcOjuO+NCQz3roExKmV3PbolTe2d9Gx2BQ8+bG+UmjxB6Ay2fH0dhr56WdjVh0Kr5/bjYF8eZR23h9fj4p66A4KZS9jf2UtQ2yIieSK4pGf8T5/OKkLUHT4dOyTh7eUMeCtDDmp4URa9JwZfHUPlIXpofzkwtyqO0eYvXMWFSK0aLInBQL7923CJkgoJDLuG5e0ikZ80hhyT+sQWyu7qa0dYAFaeHMmMAbZ7o8sbmeX717mHPyovndZfmYQlQ43F7ePdCGIAhcUBAzLSGoMDEUc4gSuSAw65jKrmP52yeVbKru4YUdUJBgHtMudwSPz8/6yi6UMoHFGRGjqp20KvmIv0/+K/ry7Eh+d3k+Qy4vlxR+Pv/sVncOcu9ze0kODyEr2sAVRfHjtiruaeynpivQSrm9tico+GRGBfyr4sxaIo3/m5WEEhISEqcTkuAjIXGGIAiCDPiBKIovneJDxwFNIx43M3n1zm3A+6d4DBISEqeYjVXdY8SekTy0toZVuTGYQpRj1vn8Ir95v5wXdhz9aChttbKuopOHbyom/AtsCYs1a3nk5mJe2dVETecQizPDuXpOwpjtIo0afnNZPveelU6ISj5utcJb+1vZ1dCH3eVjUUY4ZW1WVhfEUpgYMNTttrn42ydVrC3vZHFGBN9ckTFGWDpRttT0oJAJ/PWaWSSFTc37R6OUc9viyfX9Y0WgI/QNudlQ1UW0UcO81OmZ/f7g3GzyY00kR+hYkBZGeZuVW5/cicvrJykshLfuXYRJO/Y6mg4+v8jjm+vwi7DmUDtfXZJKYaKKt/e38r1XDwIgE+DS2VMXPuakWPjwG0sQBIgwTP6+ZUcb2VTdQ1JYCKGTpEu9uruZH7wWGM/DN8xm1YwYKtqtuL1+zsmN5qFrZ2F3+zgvP2bK45wIjVLO1XMmFmU/C/Y3DxCqU7Gusos1pR009zr409Wzxmw3JymU/FgjA04vC9KOXk+3LkphdlIosWbNtDytjsXl8Z2xvlMSEhISI5EEHwmJMwRRFP2CIHwNONWCz3g/W4/bXyAIwlkEBJ9FE6y/E7gTIDHx8/2SKiEhMZqd9ZN3ejb12jnQ3M/icWKh9zb2jRJ7jrC7sZ/1lV1cPo1J92fBzHgzM4+p1pmIuNDxfVRqumx8/9UDeIbbqdaWd3LnklTOmREd3OblnU08vbUBCMSzR5s03Lc8Y9Lna+t38M7BVnw+kXPyokkdjgBfX9HF7sZeMqMMfHVJKm/vb+XCmbGclRU5pddxsvzj02r+s6kOuUzghTtKphUdnx1jJHtExYvN5Qm2G7UPOHF5fHCSgo9cJnBTSRK/fr+cs7MiSR4WwUb+Y+SfWufbKKYq0N23PINFGeEkh+uINo2/T2XHIOsquoKPrU4v6yu7uOOpXXj8fh68aubnVolzKhBFkWe3NfDx4Q4unhXHZUXxzE4MZUdtL7sb+gDwTHDS06MMvHLXAnyiH5366HuvUcopmaageOyYHttUxyMbarl9UQp3LEk9ofY6CQkJiS8LkuAjIXFm8ZEgCN8hIPoMHVl4Mh4+BCp6Rv48Hs9I44thBEEoAP4DnCeKYs94BxJF8REC/j4UFxefwFdzCQmJU4XHe/wgP49//G2OtGqMR3XnxOv+l+gYcAbFniNEGtSjWoY6B0fHsXcPTh7PPujy8O1X9rGlJvCR/MbeVp66bQ7tAy5uf3onHp+IIMCzt83ju6uyPlcPpbqewD8ZPr9Ih3Xy13E8ZiWE8rOLctnV0McF+TGnrOrp9sWpXFAQQ2iIihB14CvuRQWxCAIICJx/CqpmJsKgVbLsGPHN7xdHtWztb+qnqnOQZZkRxJg1rJoRzXPbGnD7AvfRgeaB/ynBp6pzkJ+8WQrAppoe5qeHkRKu4xcX53HujCiqOmysmMSwXKOS4/PLaOmzE6ZXnxLfpX67hz9+WIHT4+ePH1ZyeVH8/6zJvISEhMSpQBJ8JCTOLG4d/v/XRiw7WQ+fnUCGIAgpQAtwDUe9ggAQBCEReA24URTFypN4LgkJic+JzGjDpOvVChmp4WNNjAHCJjFrDZ9k3f8SubFGMiL1VA0LWCq5jDnHGMwuTA/nmW2N+PwiMgEWHCcKu63fQUu/E6VcwOMTKe8YpLZrCKvDExSXRDGw3ech9hxo7sft9bO/uZ8lGeHIBYHUCB1LMk7OdFkhl3HLwhRuWZhyikYaQCYTiDvGIypErZjUa+qzQBRFnt5Sz2Ob67ihJInbF6UikwkUJppRyGRsr+vl79cVYtQoWZIRwdv7WxlweDgn79SnuZ0opS0DqBQyMqIm/hwwaVUkhGpp6nOQFaVHP+w7pFbKOSs7irOyj/96/vFpFX/+qIoriuL51SUzTlr0MWqVXD8vicc21XHdvMSTbhWUkJCQ+F9HEEXpR3QJCYmTQxCE84G/EIhlf1wUxQcEQbgLQBTFfwuC8B/gcqBheBevKIrFkx2zuLhY3LVr12c4agkJicmo7x5i9d83YXV6x11/55JUfnR+zrjrBp0ernt0GwdbrKOWmzQKXvvaQtIixheK/teo6Bjknf2t2F1eludEjSvobK3ppqrDRlqEnoWTCCXdgy5+t6acrbU9ZEcb2N80gN3j5e17F2HQKLjvxX1sqekhP87EP64rJHGKvj0nymt7mvn2K/tZlhnJpxWBhK0/XTGTy6doEH060NgzxM76PvLijGRHf7aR6iPptDqZ/9u1+IbbmTZ9/6ygWfmg04Pb6x9VdeJ0+8a0Nk2H/c39vL2vlZwYI5fNjjvpFqY397bwjZf3oZLLeOzmYuamhFHdZSPKoB5TLVPZMUh5q5WDrQO0DTi5dWHAg2cquL1+lvz+U9qHK8Y2fu8sEiwnb+ru9vrpHHQSYVCjnsCT6rNAEITdx/tuIyEhIfF5I1X4SEicYQiCMAPIBYI19KIoPn0yxxRF8T3gvWOW/XvE37cDt5/Mc0hISHy+aFVyfnNpPi/uamRLTW9w8gpw7oxobl80cXWGQaPkj1fO4qG1Vbx7sA1RhDnJoXxrZeaXRuwByIoykHVO1qTbzE8LZ/4UYsjf2t/CK7ubAWjuc3BjSSIrcqOCHj7/un42TX0OYswawnQn36Jic3kA0E8gMuxu6EMUwTuiba/f4T7p550KQy4vB1sGSLKEEGMe30PpeDg9Pr7zyn521PcRY9LwxtcWEjXN1rGKdiuHWqzMTQkl1hxCebuVCIOayOMYOHfbXFxUEMOAw4so+keZOBs0Y8+3RiUn8HvJifH7NeVsrg50SqeE60YJLn6/yIDTjVGjmnJS3L6mfkQxEOt+sGWA7XW9PLS2mtxYI/+5sZjYEb5WmVEG6rqHeHRjXeC1KORTFnxUChlfX57Ogx9VcfXc+Am9j6aLSiH7QtMAJSQkJE4nJMFHQuIMQhCEnwLLCAg+7wHnAZuAkxJ8JCQkvjw09dp5fkcDT29pYMjtQ6uUc2lhLHEmLW6fn7kpYZSkWo4bG50VbeChawv5xvIM3D6RtEjd5/pr++eN3y+yvqqL1j4HubHGYFLXVDnWD2hxRgRLM496wphCVJgmSX+aDnsa+vjGy/sQ/fCXq2dSlGxhf1Mfj22uw6xV8dUlaazIieK1PS0oZAKXFcYRYVBz4czYU/L8R6jtslHWNsjsRPMoYecvH1fy6MY6cmONPHPr3BPyYPH4/NR1B3yHOgdd2N3jV6pNRK/NxW1P7qK538HSrAjOy4vkB6+Vkh1t4Ilb5kwqRP32/XI2VHWjU8l5/Z6F6NSf7dft8GEBUK2QoVMfvcf8fpGHPq3in5/WcNP8JL67KhuV4vitgCvzonj3UBuhWiUL08K445ndABxutVLdZRsl+ADEmjRolDKcHj8pEdOrPLtuXhKXzY4/Jf49EhISEhJjkQQfCYkziyuAmcBeURS/IghCFAEjZQkJCQk6rE6+8eJedjf2B5c5PD7+u7uFGbFGHjnm1/3jIQgC6ZN4gHyZeHlXUzBuW62Q8fgtc1h4HM+ekVxQEMOWmh621vRwzdwENEoZP3+rlPRIPVcWJ0xpoj5VPq3opLHHPvx3F0XJFh7dWMc7B9oAiDKq+dpZGaz/7jJkMoHwz8D0dsDu4c6nd1HdNcTy7Egevak4aHC8oy5gWn241UrPkPuEBB+DRskfr5rJh4c7KEmxkDKB39REuH1+uodcAHQNOiltGwSgvH2Q5j77pILPkZYquUxArzm5r9purx+X1zeqMqhvyM0ru5sQELh6TgLfOzebeakW0iP1ZA23rrX2Oxh0enjok2q8fpFHN9Zxw7wkksKPL8gsSAvnk28uRS4XCFEpuGNxKg+8V8bCtDByY8a2xuXHm3n17gV0WV0nlLA1mdjTY3PhcPuIPwWtXhISEhJnIpLgIyFxZuEYjmf3CoJgBDo5OcNmCQmJLxEfHe4YJfaM5FCrlTWl7dw6opVrwO6hqnMQpVxGdozhS13Bczye39EY/Nvl9bO+omtagk98aAiP3lSMzeUJRLL/ZQN99kDbVYRBzTl50cc5wtQpiDehGBZX+u1u/vhhOcYRgsIRL5lTlZ41Hk6Pj6Y+BwD1PUN4/SKq4TF955wsXt3TTHGShfRptgCWt1spa7UyLyWMpZmRo6qkpkO0ScvDNxSzq6GXs7MjGXJ5qe0aojDBzIw4U3A7URSp7xnCMqIC6/9dlMuGyk5mxJqJHUcY8vlFhlxejMcxFG7qHeIHrx7iYEs/P784j0sL4znUMsAjG2oYcvvoGnTSNehCJhO4qjg+2P63rbaHO5/ehVYp4+JZsby6p4WLZ8USaZy6cGYYMbbbFqVwfn4MZq0ymH52LHmxJji1BWBUdwxy61M7aRtw8s/rZrPyFN4DEhISEmcKkuAjIXFmsUsQBDPwKLAbsAE7vtARSZyWON0+ttf1sL95AKfHh16tYE6yJZAy8zlGQUt8vnxc1jHp+nf2t3LrohR8fpFX9zTx0NoamnoDlSJzkkP5v7MzWJIZ8XkM9TOhx+ZiR30vaoWcuSmhE/rbjEeMScuB5oHgY8OIyo6ddb1Udw6SGW2gKMky3u5AwHvEolDTPuBgyOULLnd6/RPucyKszI3mhTvm8fdPa3hxZxNev8iDVxUQa9agVyu5bHbcKX2+8YgyafjH9bPZXtvD8pyoURVMizMjWHwC11G3zcmtT+6ktd/JuXnR/PvGopMa49KsCJZmHR3HooyxY3pxZxM/fO0gRUmh/Ov62UQaNaRF6Cf0qhpyefnVu2W8e6CV75+bzfUlSRM+//rKbjbXdAOBNrHzZ8Tw3LZG3tofqMS6ujieRzbWAuDy+vjpRXkA7Grow+r0YnUG2q3Wfnsp0UbNcdswJ0IQhDHClSiK0zaH3t/czwPvHibSoOH+83OO689U3jFIY29AFNzZ0CsJPhISEhIngCT4SEicQYiieM/wn/8WBGENYBRF8cAXOSaJ04+Pyzp46JMq9o+YvB7hrKwI7j0rg6Lk6fmTSPxv0Gub3JS3e8iFKIq8vreF7/334Kh1O+v7uOPpXTz9lTn02j20Wx3EmUOYnxY2rlHt6UZjzxBffWY3Ze2B1p2VuVH8+cqZoyodJuOeZanUdA5S3TXEsswILpsdSLNaX9nJbU/uClSwyGU8dksxi8cRDkYSbdLy12tm8dKuJgriTJyVfepFtNQIPYdaBvAOm3Hr1EruPTvhhI/n94tsqu7G4faxJDMCrer41V4rcqJYkXPqosirO2x0Dwau4Q6r44REiSN4fH5qOm1EGjVYdBN7J22uDggyuxv6aOixH7cqqrpzkBeGq8EeWlvNVXMSUE4goidatMgE8IswJ9mCWiknxhSo0lHKhWB7VWq4DqVcYFttDyWpYZSkWAgNUeL0+ihKtgQrf8ajd8jN/qZ+UiN0JE0h+c3p8fHE5lre2NfGPUtT6Xd4UCnkXDwzdlT1T0W7lZd3NhEbquX6eUlolHI+ONTOjro+AFZkR3LJ7MkT34qTQjl/RjSNfXbOyZXEHgkJCYkTQRJ8JCTOMARBiAOSGL7/BUFYIorihi92VBKnC+8caOW+F/eNSmQayacVXexu6OPRm4qZdwJeDRKnN8XJoRxoGSv0HWFhejhDbi//Xlcz7vqZCWZ+/GYpVZ22o8dMCuWPV84keRLvkKqOQSo7bFj0KgoTzKfUwHU8D5Tx+PBwR1DsgUB725aaHlbNmNpEc2ZCKK/fs5ABp4dwnXo4eQm21vQERRW3z8/22t7jCj4A5+XHcF5+zJSeu33Awa6GPpIsIeTHm6e0T5hezT+un81HhztIj9RzVvb0W582V3fzn421FCaaSY/Uc89zewH44XnZfHVp2rSPN1Ucbi9qhTzo+QOwo66Hm5/YwbKsSMwhSq6bm3hS8eT/WlfNnz+qojDBxMM3Fk8o5FxaGEdZm5WFaeFkxx7fryrBomN+Whhba3q4ojhuQrEHYElmJM/ePo+2fieLMwLtgbcuTiEjykCkUc3sxFASw3R8UNrOIxvqeGxTPc/fPo95qWF8+M2l+Px+ok1jq2h6bS767B5SwkP4xdulvLGvlaSwEK6fl4hMELhubuKErVvvHmjlv7tbSLToeG1PC/GhIQw4PZS1Wfm/s9OJMGho63fw7/W1vL63BYAkSwgrcqOZnRiKSi7DolORFX38cxVt0vLPG4rw+8VR77WEhISExNSRBB8JiTMIQRB+B1wNHAaO9AuIgCT4SFDeZuXbL++fUOw5gtXp5Tuv7OfNry3E8hmYuUp8cazKi+bJLfWMdwkIApyfH0NDj53qLtuY9Xq1Ar9fHCX2QKC95NGNtTxwaf6YfXx+kcc21fGHD8qDKVXLsiL45cUzSDgFJq1v7WvhPxvraOi1c/nsOG5dlDJhXPOQa2yKk22cZZNh0CrHVATFHjPhjjlF0dNHGHJ5+dbL+9lS04NaIeOFO0qmHItdkhp2Qia7R3huWwOfVnTxaUUX31t1NJ7+SDrWZ8GaQ238+I1DLEoP5+er84K+OY29DlxekQ8Pd/CVBUnMmmZK2rG8ua8VgL1NAzT0Tly5szwnirOyIqcsSFh0Kv59/Ww6Bl0kT6GiZkHaaB8ovVrJefkxOD0+2q1OlmZG8Pz2BiBwP3VYnUDA92k8ttX2cP/rB6npGuKBS2awoz5gkN3QY2dDZTebqruJNmm4sGB8Q54397VS0zVETdcQX1mQTH3PEJ9WdAEQa9ZyZVE8tz29i+jh8yWXCZiH36MVuVF8/O0laBTyaflDSWKPhISExIkjCT4SEmcWlwBZoii6vuiBSJx+fFLeiWuKXiFNfQ42VHVzSeHUvT5cHh92jxelXDYtb5QvG36/yP6mfvY29eH0+NGp5cxODGVGnIkBh4fy9kFcHh9hejW5McaTmuy4PD6G3F60Kjla5fH/yZ+XGsYfr5jJ9187MComXCET+OXFeSzOiKC6cxBBAPEYUWhmgoktNT3jHvflXU3cc1Y6ccd4dmyu7uLX75WNWrauoounttbz4wtyp/gqx2djVRf3vbQvOM7HN9djdXr545Uzx91+UUY4/1xXE7wHYs0a5qVO7LczVS4tisPm8rK/uZ/ChNBp3TNToc/uDp53l9dPdadtyoLPyTI7KZT3DrWTFWVgXoqFklQLvUNuLj3Fr3Ek7x5oo9vm5o19rVw3N5G5w4LVsqwIbl2YTNegi8uLTrw17Qh3L0vngXcPszIn6rjVKNO9R00jDJ5PBIfby/1vHOL1vS18f1U2dy5JRSYTSA7TTeqh1Tbg4LFNtdR0BQS59ZWd/HJ1Hs/vbCIzUs9zOxoRBDBrJx7bWdmRbKjqZnaimdLWfnTqo9sa1Ao6rC4Ot1pxun2syI7kxgVJFCcfvY8SLdOLbZeQkJCQODkkwUdC4syiFlACkuAjMYpBp4fnhn8lniprDrUfd/IqiiKHWgdYW9bJK7ub6Rp0oVHKOTs7kvNnRDM/PeyMEn+21/bw2KY6Pjw82hxZEGBpZgR6tSIYjQ2wMieKK4vjWZkbNa32lKbeIdYc6uDlXU009NiJMKi4ek4Cq/Jijjt5vawonvx4ExuruugcdBGuV7MkI5zM6CN+IXpW5UWx5tBYg+djRaAjeHwiLo9vzPJttb3jbv/89kbuPSs9WBkQqBwaxOsTyYgyTCmifEt196jxxJo0dFmdPLG5luJkCzNiTaPOaVGShWdvm8eWYZPc0JBTc10a1EruOSv9lBxrPKKMGm5blMJjm+rIijJMy1/L6vCgVytOWFS8ZUEy81ItRBrURBm1PH97CX5R/EyN3c/KjuT9Q+2UpFpIizzqTROuV/P/hk2Lj+XT8k7aBhwsz4kiaoqVJVcUxXPejCi0yhM/PyMZcnn5+HAHRq2SZVkRJ9Vu1m518tqeQLvUczsauHNJKnNSxq/Usjo8KIbj1QedHhp7HBTEm6jvHuKigjhmJobSY/cQY9RQlGxBp5IzP23idLmb5yezOCOCcL2Kmi4bDd1DnJ8fhVIuZ1VeNAq5wHdXZfFBaTsXzYo94ZQ0CQkJCYlTgyBO9O1MQkLiS4MgCA8RaN2KA2YCnzBC9BFF8etf0NAmpLi4WNy1a9cXPYwzhuY+O4t+9+m09km0aFn3nbMmnAw5PT4e3VDLnz+unFAIKEm18MAl+aMmbidLU6+dzTXd9NncyGQCiZYQFqSFYzpFE/gTZX1lF199ZhdOz8RVVAa1gpK0MD4aIQgJAvxy9QxumD9xms9IKtqtfO25PVR3jW2rCdOp+NcNs5k7weRwquxp6OWOp3fTM3TU5DnBokUllwWrB0ayMD2cJ78yZ4xfyR8+KOcfn471AzKoFWz6/lmYQlQ099n5w5oK3twfaLFZlBHO/efnkDNsWDsRD35UyV8/qQIgOSyE0BAVe5v6gcA5/flFedy0IHnMfn/9pJIHPwrsF2vW8ORX5pIZdXy/kWM5nu9IWZuVRzbUYHf7uHVhypQ9sdxe/xjBy+X10dBjJ0yvIkwXaOXZUt3N79aUE2nQ8IPzssfcY49sqOGhTwKmwd9dlXVKfZNONVanh6e21NNjc3H9vESMGhUGjWJCn5mRvLCjkR+9fhBRhJvmJ/KLi8e2Fn4ePL6pll+8E6hme+a2uVPycZoIl9fHnz6s4JVdzXx3VTbXzUscd7tttd383wv7iDKo+eu1haRF6Pnv7ibKW60sy45kUUYEf1hTzj/W1SCXCbx29wIK4k2sKW2ntNWKXqUgVKfkksI41IrT9/oAGHR5+PenNVR3DfHVJamfW5XbSARB2C2KYvHn/sQSEhISkyBV+EhInBkcUU52A299kQOROD2RncCvzSq5fMIJrd8v8vD6Gh78uGrSY2yr7eW+F/fyrxuKTtqzpbbLxnPbG3l+eyOOY6pJEiwh3LIgiavmJGD4AiqK6ruH+PrzeyYVewAGXV72NvYxK8HMvmFxQhThJ28dIjVCx4L0iX95h4AY8MC7ZeOKPQA9Q26+/fJ+3rx3IRbdifsvzU6y8Ozt83jvYBsfl3USopSROVx509hrH9UOplHKuHtp6rjmtAtSw8cVfK4vSQy2vDyyoTYo9gBsqurmV+8e5olb5k5a6bM8J5JHN9Zid/tICtOxvrIruE4U4VfvlrEwI3xUfHZLn52/r60OPm7td7K2rHNagk+/3c3fPqni47IOVuVF8/WzM8ZN+vrnumreHo7Xrmy38e59iwiZJDa7tc/Br947zN7Gfr6+PINr5x6d5KsV8jFj/GswaW+A7BgD3z7nqMdOv93NXz6uwu728dimOq6Zk0DGCYhanxfrKrr404eVw48EfrZ6/EqeYyltHWDNobag4NxhPTXFrZuru1lb3smijHDOyppaBYtjxL3vcI+tdpsOaoWcH56XwzdWZE56zWyq6qFr0EXXoIt9jf2kRei5oigBio6Mw8uQ28uyzAjqeobw+v1srOrm7mf3ABBpUBNhUKNTKbhw5viePhNhc3pYW9FFaIjypMStqbKnvo9/DJvJh+tVX4jgIyEhIXE6Igk+EhJnAKIoPjWV7QRBeFUUxcs/6/FInH5YdCpmJZjY1zRxQtOxTOZvsruh77hizxEOtVp5ZXcT31qZdfyNJ6C83cq9E1S1QKDq55fvlHGoxcrPV+dinMSj4rNgbXknA86pGQB329zMiDWNWiaKAbPa4wk+uxt62VDVPek2TX0ONlZ2c/FJ+qzkxBjJiTFSmGDm+68eYHdjP3KZwOL0cETA6/eTF2vigvwYZiaYxz3G/LQwfnlxHg+8VxYUw87Pj+bm+ckAdFqdwQjrkWyu7uHt/a1cPCt2wvahgngzT986l8c31QVTskbi9vmp7RoaJfjIBAG5TBjtXySfnhj69v5WHt9cD8CjG+tIi9BzzdyxFRhWx9HrodfuPq5Z+ruHWnnvYDsA979+kJJUCynhE1fGjTSHNh8jOBk0Sq4oiufprQ2szI0k2nxqjaRPNWE6VTCePNI4daFSIRNo6LazPCcSpUzgrlOQHGZ3B0zr2wYC1+bG751F2BTM668qjkcpEzBqlSzNmroA4vb68Yn+MR5cgiBMKvZAoBru5V1NRBnVzEo0j1n/QWkHT24JtPLesyyN2YmhvLH3qLjabXOREaXH4Z2+QPX8jkZ+/V45MgG+uyqLgngzC4/z+XUyJFhCiDVpaB1wkhc7efWfhISExJmEJPhISEiMJPWLHoDEF4NGKefK4oRpCT4rc6MmXPdJ+Vh/l8l4eks9189NIuqYBKP2ASfrKjvZVttD+4ATk1bFzHgTZ2VHBlt6+u1uvvffAxOKPSN5fW8L8aHaUdUOJ0trv4OuQRcgEm5QE2ceXankcHt5cRzRYjK6bC7C9Sq6bUdbpl7c2czXzsoYc45GcqjFOqXjH2wZOGHBZ9DpobZ7CIUgEGFQcf8bB+kaHqfPL7JuuJJGKRe4aGbshGIPBMxub5yfzNLMSCo7BrHoVBTEm4IijlwmoJDJ8PjGTjjf2NfCkNvLTcPi0HgUJ1t4a18rDT1jrw25TCA+9JgELbOW75+bzS/eOYwoQk60gRWTXOfjcWza10RJX3cuSaWyY5BBp5cHLp1x3Nh4neroeq1Kjvo4PkbfXJlJaoQOg0bJ5bPjR62TywR+dH4ON5QkEWPWTFr15vL4UH/G7V5VHYPYXF5mxpvHrRpcmB7Oc7fPo3fIzbIpVtQAZEUb+c3l+dR0DbEiJ3LciPLpopDJSI3Q0zbgJDVch1o5Nb+iCIOGO6cpONV1D/GDV/fT0ufk91cUHFfwPZaS1DCeu30ez25r4NltDdy5OJWYYeN0q9OD03302jxSYbkkK5xLC2PZUtPDhQUxhOnUnJsbPa3nBRgcFrj9YqCS86G11Xz4zSUTpuSdLKkRel65az69djd5Mabj7yAhISFxhiAJPhISEiORTL3OYM7KiiTJEkJDr/242y5OD6dkAh+Y3iEXz2ydngF0v8PL9roeVs8KiBBen5+XdzXx2/fLsR5TGfNBaTt/+qiSG0uS+L+z09lS08OB5qkLVY9sqOWK2fG4fH7WVXTR0DOEzy8SqlOxIDWMOSmW4/qZiKLIzvo+PihtH9VCplbIuG5uIufkRTEvJQyZTKDP7qGyc2yM+WTUdw+REWUYJfi4fX6G3JNXCR2vSmS6243E4/Pz2p4WHtlQS81wLPvsRDMF8Wa6bZ2jqmIC24usLevkmjnj+4uMJDEshMSwsRPBML2aryxM5p/rRrd9FSWFcrBlgNJWK+fnRxOun1gEu3BmDL985zBZUQYqOgaDy7+5ImNcH6BbFiRTnBRKz5CbgngzFt3RajCnx8ere5rZWNlNokXL1XMTR1UIQaCq4tJ2GwdaBlArBM7OGV+gWJgezoffXILPLwbNqSfjwpkx9A65aOy1c35+DLHmySfOSWE6bl2Ywku7mvjPxlquLI4nYURCkkY5tg1sJE6Pjwc/quS1vS3csTiF2xelfibx2Lsbern+P9txevz87vICrp4zfsLWZEbCkzE/LfyE9x0PlULG7y8vYH9zP3mxxs/UdH57XQ/b6/oA+Ohwx7iCT7fNxfsH2zBqlJybHz3Ga2dDVRdPDX8ep4TpuGlBMusrOlhb3kVrv527l6aSFqGjpsvGOQ9u4IfnZfPg1YW4vT5U0/Tt+bisg5pOGytyorhubiIapZzGniE+KutkeXYkD62tZllWBOfNiDnBMzI5caEhxH1GgpKEhITE/yqS4CMhISEhAUCsWctfrp7FPc/voW3AOeF2sxLM/OLiGWhU408GBh1ehk7Ao6Lf7gECYsrjm+vHxHWPxOcXeXJLPb1DTuzuqUXJHyE9Us+fP6rk3YNtY1p9/rWuhqKkUL61MoOF6eO3XXh8fp7cXM8D44zP5fXzxJZ6nthSz7dXZnLn0hMrmhMEgWNDFRQyAe0E5/wIaRFTizw+EZPsF3c08pM3S0ct2zPcxnV2duQoo+kj9I0wdT5RbluUgsvr57ntDXh9InNTLAy5vMHrpXvQPangMzcljD9eOZM9jX302twIgsDMBBPzJhAsBUEgP9487ro397Vw/+uHgo/L2wf5z81zgl5Ch1oGuO/FfdR0DZEfZ+TXl+aTOknb1fGqekZi1Ci59+yMKW8PsKa0nV8OGwXbPb5pRd0fbrXy8IZaAH79XjmrcqNJCj/1kdrVnbZgO19529Qq1L5o4kK1xIWefLXQePj9Ig29Q4TpVOTFmAjXqehzeCb0pPnPxlr+vT7wPj0ozuTSEdVcXYNO/H4RuUxAAJLDdexu6OWD0k4+LuvA6fHh8orMSjTzr/V1ALy2t4Wzc6KmLfbsbejjzqd34RcDPlvP3D6Pr52VTl33ECWpYfxuTTntVhdv7G2h6PuhRBqm30a4rbaH9w62MTfZMm1PIQkJCYkzFUnwkZCQGMmp//lW4n+KwqRQnvzKXN7Y28Kz2xuCZfkA0UY1N85P5tJZccROMtmZrufJsfttqe6ZVOwZSeegm531fVN+jhlxRpwe/ygT4GPZ3dDHrU/u4uEbi8ZtH3lhe+O4Ys+x/OmjSpQKGbfMTyY72kB5++Bx9zlCUlgIzX2OUcsuL4on5jgtKfPTw8iM0lPZMXFFUYhKzrJpeIgAdAw4+dOHFeOu8/lFWvsdROjVdNlGm+LOnWLy1GSE6dV8e2UmPTYXHVYXuxv6cHkDAkF6hH5KE++saCNZ0Sfv67G3sX/U4w1V3TT32UkdrvJ5eVdTMKXsYIuVT8o7g+KR3y8y6AzEoMs/w9hyj8/Pttoe5DIB1YjncXl8bK3ppiQ1bEqR4BEGNTFGDW3WgCfKVKqQToQlGRFcWhhHa7+D1bO+vJN4h8c7xodnPJ7cUs8v3jnM3ORQ/n7dbN7+v0XY3b4JRdqRVYC99qN/e3x+Xt3TzN8+qWJJejhfWZTMkswI1lV0MuT2EG1Uo1MrkcsE/vFpDdnResrbbcwex+tnaq/PxxH9fMDpCabUpYTrSLSE8P6hdtoPd5AbYyDkOML1eIiiyC/fOUxpq5XntjeSH28iKezUC5ASEhISXzYkwUdC4gxDEAQtkCiK4nizt+9/3uOROP3Iijbw/fOyuaEkkcNtVhweH3q1klkJpiklO4Xp1RQmmIMR2FMlZbh6YE1p25T3kcuEKbcnaZQyjBolh1p6jruty+vn6y/s5c17F44yxq3vHpqS2HOEP35QwdnZEVw9J4Gfv314yvtF6NWUto6udjg///g+Gnq1kp9elMcdT+/CPk6VlVwm8LvLCqbto3GwpZ9+x8TtZKWtVhalh9NVfVTwCVHJOXfG9PxvJiJErWD1zFjufm5PUOxRyWV8/7zsaVXJTES/3c2/19fwaXknc1Is3HtW+rh+L8dOMFPDQ4gYYdg7tq0tMNb2AQc/fauUTVXdzEo0c3ZWJDctSB43uexkeW5bIz97O1CJ9cClM/jNZfmUt1vZUdfLM9sa+du1s1g98/j+TQmWEJ66bS7lbVYyIvUYtZ/NV8YYs5YHr571mRz7ZHB7/fQOuQjXqyc0Bp/qcf7ycSUv72ri9kUp3LkkbVRr3JbqbnY39HFWdiQz4ky8uqcZgB31fdR025ifOnk72k3zk9AoZYTpVCwfFqitTg8/eeMQH5S2syInivcOtvHtVQHfspLUMN4/1MaBFivzUiwYNApsLi9pETrC9RqijCdm4D3odLMqLwqby8uKnKhRr1EuE3jg0hlcOzeR7GjDCbXBCYJAZpSB0lYryWEhGNTSFEZCQkJiKnx2PzFJSEicdgiCcBGwD1gz/HiWIAjBmHZRFD/8goYmcRoSFxrCytxoVs+M4+zsyCnHeB8xgJ4O81MtFCVZqO8e4qWdzVPez+nxo52ioWxxkoXtdb1TPrbV6WVtWeeoZZ9WdAYFh6ng9Qd8bM7OjiQ0ZGqTnAiDmj776FaoH56fzeIJWsyOZWF6OE/fOperiuORj5h0rcqL4j83FXPRCVRRjJdydSyCcHSb3BgjD99YRH6cedrPNRFn50Tx9v8t5Oerc/npRbm8de/CSY3Dp8Mru5r59/paKjpsPLutkae3jO9BddnsWK6dm4hcJjAj1sgvL8kfFbl+yazY4Pscb9Zyfn7Aq+TNfa18UNrBkNvH5uoe1ld2sa32+MLjibCv6WjF26HmAa6dm4jXL1LWFqgwq56Gn1ScWcvmmh4u+ecW/rWuZkyb4ZeV13Y3cdczuyj5zVp+/0HFtDyvRFHEPSLVqq7bxj/X1dBtc/PbNRWj2mXbBxzc8cwu/vRRJfe/fhCfX+Tm+UmoFTLOzYsmO+poVdoHh9q59cmd/GdjbVBIBEiN0NFldfHXT6r588dVONxeDjT18+a+VpweP239Dh6+sYgZcQEjY41SzrkzYsiLMdDc5+Ct/W302Nyo5DKsTg/5cUcNjzsGnFNuy6zvcfBBaQebq3vGVCdCwLT6rOzIoGn0eOxv7uc7L+/njx+Wj3rerkEnj22spSTFwn9uKuKxm+dgmUIymoSEhISEVOEjIXGm8TNgLrAOQBTFfYIgJH+B45H4krIsK4JYs4bW/om9gEZy7bxEVAoZ7VYnbt/UBZUDzf3MTbGwufr4k+fpVAMd4fkdjZyfHx0wjhYE3j0w9eqjI7y2t2XY9yiPH7x2kCHXxP5GRq2CgngTnwwLTfNSLFw/L5ELCmKnZZhbnGyhONnCXUvT6LN7MKjlpEcaTth0d0asCa1SHjSnPpaZ8SbuPz+Xxl47OrWCWQlmdCfwC/yehj521feiVspYnBFBpFHNnoY+PD6RwgQzmVFGMqNOfeRya//oCWpj3/jG5VFGLb+5LJ9vrsjAqFGO8bGalxrG6/cspLXfQVK4jrjhya3nmGtaBE7AN3tKnJ0dydsH2pAJBOO/LyqIYVNVFwa1knOmkbhU1TnISzubAHjw40qunpMwpQjy/2UG7G7eOdDG2opA2txjm+q4fVEKkVOofOm2ufj5W6XsbernFxfncXZ2FBEGDTMTTOxvGmBxenhQEOwbcvPE5nrUCjlDLh96tQIBuGpOIityo9CpFUED5kGnh+++uh+rw8va8k5mJ4YGPX3a+53saexnVV4UHVYnn5Z38ureFuYkB4zNLymMY+Ux7/lZWZHEm7Vc/+h2IHB9XpAfw4L0MMzD43vnQCvffnk/kQY1j9xUPK7B+UjOmxFNefsgNpeHy45JAOwadPL2/jYiDGouyI+Z8HPo6S31vLqnBYCUcH0wXe75HU08+FElAE99ZQ7Jn4GXlISEhMSXFUnwkZA4s/CKojgwFf8GCYmTIdas5a9XF3LXs7vpOc4vxN89J5ML8o9UnUxvFuzxiShlUytWPXbSPRVquob4+duHWVPaQXqknkGnZ9rHaOt38sB75ZS2DnD74lRqu2x8Ut7JyGIJmQCXFsZx2ex4XB4/V86OJ0yvoiDBPCZ1ZzqkRkzfnHk84i0hfO2sNP74YeW4629blEp2jJHs40wKJ+P1Pc18+5X9QSHEqFVwZVE8ZW2DbK3tIcak4c9XzqIk7fi+QN2DLmQyplyVVpwUyhNb6oOPS47jPTTZ5D85XDdmQnpBfiwfHu7gQPMAuTEGFqaFU5JqmdLYpsvqWXHkxhiRyYTg+1+SGs4H9y1FkDGt6ykhNITCBBN7mwa4sCB2Wu1zoijy6p5mdtX3sSQzIljtdLqjUytIDAthfmoYW2t7uGV+8qiktsnY09DH28Oi8Gt7Wjg7OwqLTsXDNxRR2molK0pPyLAQergtYIq9IC2MBIuWu5akB4WQY69blULGjFgTW2p6MIcoR40n3hLCFUVx/GvYuDlMp2JDZRfzU8O4eFYcKSPS7w61DPDmvhbSIw2cNyOK4pRQBhwe0sL13PTETgCuKk7g/vOyeXtfKy6vn6Y+B49trGPI5eXbqzJJjzya7NZpdbC7oY8Ys5aE0BB+dUkeunHatR7ZUMujG+uGX5uKhRPEy49sJwvXH32NyhG+cEqF1JwgISEhMR0kwUdC4szikCAI1wFyQRAygK8DW77gMUl8SZmTYuGJr8zhqS31vLGvdUx1zYxYI7cuSuHiWXHB1qMwnRqZML3qh9I2K+fNiOL9Q2NToo4gCNOVko4y6Ap417i8vmAa03RQK2W4vX78YmDiY1Ar+PEFOShlMpweHyEqBbOTQsmNPfWVK6eSWxemIBcE/rm+JmjmHW/W8s2VGVxYcHKT+W6bkwfeKxv1vlsdXvY2DlDfY2NlThQfHu7gJ28e4vWvLZjQA6S5z85/Ntbx/PZG5DKBmxckc9uiZCKOkwh0fkEMjyhklLVZSQ7XjRsb3T3o4sUdjexr7mdmvJlr5yYSbpiaoJQSoeO52+fRbXMTqlVgnqIQdaKkjxO3PlGq3mSE6QPVHU29DtKj9NO6/g80D/Dd/x5AFOG/u5vJjjacMgHys0Qhl/HdVdnUdw2hVctJsIRM2cMnPVJPfKiW5j4Hc5KPCnq1XUN855X9xJi0PHRdIWkRetIidBQmmNhe18uVxTNJmSBhb39TH09uaSA/zsRVxfGkRxpGCYoapZxr5yayprSdum47BfEmYkxa3tzfwoaqbqKNahZlBrx9/vJxJR8PVw8mhs6judfBgZYBdCPMpDusTio6B1Er5ehUciw6FQ29Q+ys76MgwRQUfJ7f3sDvP6hgVryZyg4rGZFG+uxu/n5dIYkjvK7ePdBK1XAboSAwqs10W203uxv6WZoZwYw4E3csTiU1Qke4Xs2SjKMtrNfPTSRcryZMp2J+ahhbaro53Grl7OzI/4lrSkJCQuKLRBJ8JCTOLP4PuB9wAS8AHwC//EJHJPGlpiDezJ+umsVti1LZUdeD1elFJZeRGa2nJCUs+Gv3ETKiDFw8K47X97ZM+TncXh/fPicLtULOG/vGT98SRZCfQGWbUn60DaxjwEVRcihNvWP9KSYjJVw3yoB50OXll++U8eBVM7lpQfK0x/RFEaJWcPdZ6VxcGEd5uxW5TKAg3kzoCaQ3tfY78PlF4sxaZDKB5l7HqLShI9R224gza6nrHiLWpKGq00ZZ2+CoybTb62d7bQ/VnYM09Dp492BboC3QB/9eX4PT4+Nnq/MmHY8gCJyTF805eRO3Oz2ysZZHhmPKPy7rZNDp5UcX5Ez5NRs0ymkbTO9u6OVQywCFiaEUDKd9iaJI24ATvVqBUXvyhtXHI8KgCQpmH5d18KcPK1mQZuGbKzMnNd+VCYHYR5HAJP8Euwm/EHRqBXnxpuNveAypEXpeuWs+vTY3OTFGRFFkZ10fa0rb6bN76LN7ONDUT1qEnmiTlqdvm8eg00vsJL42L+5oCn4e/vP62UEvnpEkhul47vYS2geczIgz8ccPyoP308h0wLDhqhmVXIYxRMmfrprJ9rpecmIMJIeHUN4+iF4lJyE0hGVZEehUcmJDNfxrXS1qhYzcmMBz+/0i/15fQ7/dw7rKLhamhyEicqBlgMOt1lGCT3n7IEMuLzfPT8QcosKkVXDTY9vRKOUIiLi8IjWdgzxwaQGhOhVXFI31fzOFqLhq2BeusXeIW5/cidPjZ09DH/+8oWi6b5OEhITEGYUk+EhInEGIomgnIPjcLwiCHNCJojg1kxUJiZMgN9Y45QqWC/JjpiX43LwgmfRIA7+8dAZLMiN4c18L6yu7g+uVcoGr5ySQEWlgU3X3JEcaS3Gyhd3Dse9unx/1CaT16FSKcROzHtlYxzl50SfkdTMZoigeN3ZbFEUOtQ6wqaqbfruHML2KJRkRU2rJijVrJ52gTkZVxyCPbqzl1T0tZEbpmZVgxhyiIitKT060nrL20YbCyWE6arttWB1eFqaH0WZ1olMdPV9+v8hfPq7kn+tqgssWpofh84v0DrcSPre9gVsXpZBomV4y2UgcHi+v7RltJv7qnma+sTKDENVn81WqssPKjY/twO72EaZT8cbXFhAfGsJ/Ntbxm/fLSA3X8bdrC8mNnb4wcaI8vK6GsjYrZW1WlmdHsSA9nAPN/Qw4PMxNsYxqF8uPN/O3awrZ3dDHooxwksNPr0qMinYrKrmMlFNcIRJj0hIznPD20eEO7nxmF0szI4gyqok1aZmVGBrcdioiYOJwS5ZaISPGNHGl2sj78paFybRZnZS2WLl2bmJwm2+uyGRWQigp4SHkDV83GcPVYEVJFuq6bZhDVISGqLhsdjxxZg0HW6w8ccscIgzqYDWNTCZwQ0kSv3m/nLMyI0mLCOHDsk5mJ5qDwuQRlmSEs7m6mxd3NvPjC3L4pKyLDVWBz+HLZ8fR0jGICPxuTRn3Lc8kdArtczKpLV1CQkJiykiCj4TEGYQgCM8DdwE+YDdgEgThz6Io/uGLHZmExFGWZkVw5+JUHtlYe9xtixLNXDsnMKExqJVcNjue1TNjOdxmpXfIjVwmEG/WkhKhx+by8Nz2Bio7pp5SpJLLRplI13TbyIzST/kYyWEhNPePXxFU1mZlW20Py3NOPmmqpnOQDw938P6hdvrtboqTLZybF82SzAg0x6SYOT0+/rWumr+trR7lI/Q7WQU/OC870Lr1GZRj9Ay5+PqLeylrG2R2oplum5sXdjQF1y9MDyctAmq6AudWq5QTplexr8lLSriOxl47lxXGkR19tF3pUOsA/1pfM+p5Nlf3sCQjPDip9PhEnBOYTU8VjULO7MRQPjx8tG2wMNGM5iT8lY5H+4ArKBT2DLnpGnQjE2T8+v0yRBGqu4b4oLSD3FgTHp+fZ7c2cLBlgNWzYlk2HM99qpmfHsbOhj4SQrUkWLRsqenm5sd34PGJ/PiCHG5fnDpq+wtnxnLhzOmnwn3WfHS4g7uf3Y1aKePpW+dSlPTZ+Cm1DzgQRVhX0cUfrihg9cxY1FNMFTxCdoyBO5ekkBIWEEinQqw5hIeunY3PL466l6NN2kBqm8/PR4fbsbt8LM+JRD8sOilkArvqe5kZbybSqGFeajjzJoiFv31RKhfPjMXm9vGVJ3YQoVdzfn4Mays6uSA/ZpRws6exH4CNVd3EW7SoFTK0KjkZkXo6B12sr+xifWWgPS072sBFM+NGjdvh9qIdFlYTLToeu7mYqo5BIowaHG4f2hNoV5SQkJA4U5AEHwmJM4tcURStgiBcD7wHfJ+A8CMJPhKnDUq5jG+syECrkvHQ2uoJ/XyWZ0fy04tyx8T8KuSyMb8yA+jVSr63Kpu7nt09pZjxklQLpa0Do5Y19TqYnxZGtMNLu3Xy4rhwvYoESwgbqyauKqrpsp204LO9rod7nt0zyhy7sbeF1/a0cNP8JH54XnZwstTYO8THhzvY09iPUaNkwHHUhNrnF3ng3TIi9WouPiZl51Swo7YHi07FzHgTerUiOAk8wubqbr69MpNum4u6niF8fpG15Z0oZAIF8SbiQ7XcWJIUNLYddHjYUNnFeEnhvhELl2aGk3qSqT6CIPC1s9Jotzo50DxAQbyJe89KP+HUs6lQmGDmitnxvLW/letLEsmNNeLy+kmyhFDfE0gRizIGvID2Nvbx83cOA4Hr4ZNvLxsj9J0K7lmWzuL0CGLMGuJDQ9hQ2Y3HFzjXFSNah05XNlZ2UdczRKfVhdcv4nX5qOqwfWaCz7kzYuiyufCLgeTC6Yo9zX127n52D05PQHTOiNJTnGzB5vLw+KZ6+m0uzs2PoSDBPO77LZcJuL1++oZchBs0QRFlzaF27n1hLwA/OC+bu5amMejw8NVn93C41co5uVH8+4aiSa9vmUwgyqQlCnj5qwvYUtPNt17eD8Cg08vdy9IAhg2io9lY1Y1Fp+KJzfVcWRRPargOo1bJ3GQLG6u6UcgEKtpt/Ht9LeF6DYsyAkLTc9sa+NNHlVxdHM83V2ahUshIsITwnVcO0NLv4FsrM/n68oxpnVcJCQmJMwlJ8JGQOLNQCoKgBC4B/i6KokcQhM8oHFhC4sQJUSv45sosVuXF8GlFJ2/ua6Fr0EWISsHynEjOyY2mODl02pPaFblR/O2aQr758j5c3olTu+alWGgfcI7rK7O1pod5KRYSw0LYWd87RnAQBChMCEWjlE0q9gDTjok/lm6bk2+9tH/CJLSntzaQFWVgboqFZ7Y18NLOpuDrnpVgJlyv4tOKrlHjeGZbA6tmRJ8ywUAURd7a38rfP62mqsNGfqyR2u6hcbdt6rPz+ytmcqC5ny3VPSxMC2duioXsGMMovxi/X+S3a8qp7RpCrZCNei8VIyapuTFGvnNO9pRNdydjZkIoL91ZQtuAkxiTJiiifVYYtEp+e3k+Pzw/G3OICrlMQKOU8/frZrPmUDvRJjWXDgtz5hAlGqUMp8dPcrgO5TRfr9Pj42+fVPFhaQf3rcjgogmqcjRKOXNSLHh8ftoGHCxMD+Oc3Cia+uxcNhyhfbpysLmfrzy5E69f5M7FqVxSGItOpWBZVsTxdz5hRMxaFaE6FeYT8LoSYNTny5G/N1X18PTWenJijDz+yDYumhnDA5fmYzymPczl9fHLdw7z3PZGvrkig68vzwSg0+YKbtM1LFxXd9oI16lYnhNJx6ATj8+PWiZnY1UX6yu6mJdqGRPvfoRokwbLBK8vVKfir9cU4nB7+ce6aiAQSf/bXYEWyWdum8uTX5lDffcQv3q3DJkQaF+DQLLiPz6tpnfIzb/W13LNnESSwnV0DbpoGa6crOw4/YVGCQkJiS8SSfCRkDiz+DdQD+wHNgiCkARYJ91DQuIL5Ij3zz3L0nB4fKjkspOevJ9fEENqhI5Pyjt5Zms97dbA5EchEzgrOwKPV6S0zUrXoGvCY2yv60WvVrA4PRyFLOCt4fT66Bx0IQD7mvqxDidZTcZU/ComY31ld3DiMxHPbmvg/YNtbKrpGbV8X1M/KrmMFTmRfFB6tFVpV0MfDT1DZEWfmtSwdw+0cd+L+4KPWwecRJs0NPeNHbd+2M+oIH6sF8hIDrdZeX5HIzJB4Ny8aDZWdWF1etEPJ6DFmjXcvTSNWYnmSY2Fp4tWpfhcU4EUchlh+tGJXjPiTGOMezOjjDx72zyqOgZZmB4+7Za8inZr0Afpd2vKOW9G9IT3mdfn53fvl/OfTXXcND+Jh64rRCmTfabVTqcCl9cfrOxr7LXz7xvHmv3aXJ5Ter08vbWBh9YGRA6dSj6pKfh4xIWG8I/rCvm0oouCeBNFSaF4fH767W5yYwzBtsW397fxlQUpzE466g/UYXXw2p4Wnt3WGBzLHUtS0SoVnD8jmrZ+B1anl6KkULbWdPP2gTYGHB70GgUXzwq0ng04PNz34l56hzw8s62Btd9eRlzo+P5dizMj+Pt1hfQPebjgmNS+5j47jb12bl+Uwrl5Mby1L+DRJgjQNejiV++WoZAJ/Gx1LomWEOakBCqulHIZ15ck8ocPKrmyKJ7I4dj2GXEmfnpRLmVt1qCZ82T0Dbnx+P1EHietT0JCQuLLiCT4SEicIQiCIAM6RFGMG7GsETjrixuVhMTUEAThlJrjZscYyY4xct3cRNoHHHj9gSqJjVVd/Oj1Q1M6hs3lZUNVN5cWxvHAZfkMub1c+a+tHG6bmoYaopKzKH18f4ypUtoycNxtytoHWZgeNu46t89PVYeNREsIjb324PKTrTwKHt/r5+mt9aOW9Qy5KUw0j0oug8Dk7+zsqXnPdNtciGKgdeu9Q20UJpjRquQUxJm5ZoRJ7ZlEcbKF4uQTa02KMWvJiTZQ1j7IityoSUXVHpuLxzbXAQER4c4lqcSHnpghdkufHaNGieEUpY11DTp5fW8LBrWSS2fHjapSm50Yyp+vmkl1p43V41QwPbapjofWVnHT/CTuW555Snys/CPKc47cUw63lw2V3UQYVMyeQivZitxoVgxX1nxa3sGz2xrRKuXEGDUUJpjZ29TPjFgj8ccIMR8e7uDhDbWcnR3JnsY+7lmWjnY4fj3apOX+C3J5cXsD9zy/F0GAOxen0NLvoN/u4exhDyiFXCDKqKV3yMPijAj+u6eJTquLpl47Pzw/h5wRJu9ymcCFBWPP64Gmfm5/ZhedVhc3lCTyq0vyiTVrSA7XEWvWUt42EDRYtzl9LMkc/Rlw19J0LiuMx6JXBU3BlXIZX1mYctxzB1DeZuWOp3fRa3fz8A1FLMr4LCu6JCQkJE4/JMFHQuIMQRRFvyAI9wIvj1gmAscvQ5CQ+JISqlONqrJZnBGBVinHMQ2T3/NnBCZjOpWC6+Yl8OM3Sqe0303zk054onwqqe0eYnFGeFDwyYzSB5OBThar0zPGqwdgf9MAq/Ki2FHXS5/dQ2p4CN9YkTnlyVhOjBGzVkG/w4soHjWFXXkKDLDPRCINGp74yhya+hzkHiepzaJXc+vCFB7bVMcNJYlEGNSTbj8RL+xo5EevH2RGrIl/Xl9IguXkfJYAnt/exIMfVwKgU8tZPeuoF5VMJkzYdjbk8vDQ2ir67R4eWlvNdXMTiTYdP4nO4/Pz313NNPYOcdns+GDi1RFuLEnCoFYQqlNxdk5AyHhmWwO/fq8cpVzglbvmMyshdLxDj0EURX77fjkVw4bxC9PDsLu9PHZzMTkxRhp7h+i2uYk0qtnb2IdBrcTq8LC9toffXJY/6lwcoXy4HUoUA6L6kRbWjuE2L51KwV+vmcXB5n7+tb6Wj8s6iA/Vsjg9nA9L28iJMeLzi+yo60GnVoxblfdJeSedw1WUO+t6gYC4q1fLKW+3olMrMWkVqBVy5qaMFcDkMiHo0/ZJWQelrVZW5kaNEpsm42DLAE3D1YS7GvokwUdCQuKMQxJ8JCTOLD4SBOE7wEtA0ERDFMXeL25IElOlrd/BuoouDjT34/GJRBrVLM4IpzjZMm3PDonxSbCE8NUlqfzlk6opbT8nOZT5I6pnLimMY2/jAK8eE+F9LPNSLNyyIPlkhgowpUlPgkVL+8DkBtMjKxFuLEk+ZW0tBrWC7GgDh46p5umyufi4rJNX75qPViUn1qSdcpWHy+tje20vy7Ii6bW7UcplbKrqZnl2JF2DLr76zG7mpVi4fHYcphPwTZnoOT8+3Em3zcnspFDy48yn5LinmqqOQUREMqOOXhdNvUN8eLiDJEtIsFJkPML1at7a38pv3yvnloVJXDRzrECwvrKTlj4HX1mQzK0LU4gwqFEpTuyz56WdjYhiYEJ+oNk6oeDj9fmp7bIRYdQQepz380SLcnRqZaA9bW01N85LxKKbmoi1tbqHH75+EICeIQ+/v6Jg1Ppok5a7lqUDsKGyi7f2txKuVwV9p/rsAdP0l3c2sq6iiwtnxnJ+fgzbant4e38rBfEmrixKQCYTEASBBenhVHTYSI/U0Wl1cc3cRJbnRPH0lnr+31ulKOUCVxbF8/yOJpJCQ/jPzcUo5TIiDWrufHoXQ24v3z0nKxgNf35+LJ+Wd6FUCCzNiAhW7/hEkd+8X8ZdS9LIjDIQZ9bw1+HWNJfXz/7mAaLNgWvp9b3NfOeVAyjlAs/ePo95KaOrCWUCrMqLpmvQxY0liRxs7ufprfX02j18UtYJwC0LklDJZeTFTfx5VtFu5avPBAz3N1d38+KdJQhTiGefk2JhQVoYPTYXSzMlsUdCQuLMQxJ8JCTOLG4d/v/XRiwTgdRxtpU4jXhrXws/fuPQGF+Yf66r4dy8aH58Yc5pUS3yZeDWRck09Nh5fdhnYiKyoww8cGn+KHFEr1bys4tySbRoeXhDbTBW+whKucC1cxO5e2nalCoIjuD1+bG7fagVMtRKOaWtA2yp7qZz0MWyrAhEMRDz3jmO71BWlJGPyzrGOepRZMMTp9sWpXBF0akz31Ur5dw4P4nvv3pwzLpr5iQEJ57T4emtDTzwblnwsUyAH1+QyxOba3nvUDsAH5S2c7BlgJouG9nRBq6ek3BSSUz/2VDLHz4MVI4YNAqeuW0eEQY1a4fP6/KcKGLNU38/j0fnoJN15Z3oNUrOzo6ckoH2m/ta+NbL+xFFkT9cMZPLh9/H36+p4O0DbQgCvHTn/HGrKCCQGPfr98oBqO22cXZ2JLoR1/b2uh6+8sRO/GLgvfvt5QXjHmeqrJ4Zx76mAdIidOTEGCbc7skt9fzq3TKKkkJ55MaiUZ5Gfr8YMBcePj/XlSTi9fup7hri1T3N5MYYSY+a+NgjuW95JtfNDYg9UxWxtCo5MgH8YuC6mAhRFPnVu4ep7LAhCPCj83NQK2QsSAujvtvG9187iCjC+souSlIt/OLtwxxus/Lc9oCoe6Ry5jvnZLEsM4L9TQM099uZmxy4f/Y09gHg8YlBT6+GPjsGtYI5KWH8bk05Hx4OXKvx5qbgfTc3xcL731iMQMCfan56OD987QCPbaoHICvKwGWz49Gplfztmlm8squZhh47m6q7ubEkCSDoxeXxibT02fn2zmaMWgV3LU0jyqjhunlJfHS4nRCVgrI2K996ZT/hOhWrRvgZ1XXb2VzdzR1LUokwjH+tC0LgPwj4rU1F7AFIDtPxzG3z8PnFExYnJSQkJP6XkQQfCYkzCFEUp9b0fgbg9gaML5VygdAp/pr7RfHewTbue2nfuPHTAGtK27E6PTx0beEYg1eJ6WPUqvj5JXnkxRl5cnM9zceYImuUMm4oSeKGeUkkjxP3bdAquW9FJpcXxbO+oouGHjt+USTGpGFxZgSZU5yAAtR22Vhb3smre5pp7nWQE2MgwqDm/UPtY+Lq82KNpEfq2TLCnPmaOQlEGNSTCj5JYSEsyQhjQVoYdd1D/PjNQJvN8pxIEk9Bm82lhfE43D4eWltNz5Ab1bAR691L06Z9rK5BFw8dU33lF2HNoTYGXaPFtXcPtDE7yczLu5r58HAHr9294IQMl91eH88MG99CIHJ6X2Mfb+5rYW9TwEPptT3NPHJTMRGnwBR2yOXlOy/vDxry/vC8LL66NP24+72xtyXoE/P8jsag4HMkwU0UA8eeiHC9mtxYI4dbrSzNjAj6vRyh3+4JXnNtx6kYmwq3LEhmUUY4lhAV4ZO0hR1Jutvd0EdzvyP4Gdc+4OAnbxyitNXKry/LZ1lWJGE6Nd02N+8eaANgSWbXlAUfuUyYlggLgeqRx2+ZQ3mblYVpE/txCYLA7MRQKjts5MUYubIoPpjaZdSqyIo0UN4xSGFiKCEqBcnhIRxus2LSKEYlb+nUCio6bPx5uG3N5vTyzxuKOC8/hjWl7Zi0StIi9DT2OjgnN4r8YaEofETb6pEWPJfXx9rhCpvlI1ohzcOVdoIQ8Bk7QqRBw52LU3n3YBvLsiK4YGbAmPmywjiGXF5CQ1S8c6CdteWBY2ZE6rluXhIRBjXXzUvikfU1HG4bQBShy+ZGp5ZzaWEcBrWcdquTn63ODd4/DT1DPLetEVOIkpsWJHGwaYA1pe388LwcPD4fy6bo9XUEuUw4JZ5MEhISEv+LSIKPhMQZhCAIIcC3gERRFO8UBCEDyBJF8Z0veGifG/12N2sOtfPfPc3saehDKZdx2ew4LsiPZVHGyRnofhYMOjz88YPyCcWeI2yp6eHjsg6unnNmGtaeaowaJbcvTuXyong2V3fT1GvHL0KYXsXCtHASLMevpooPDeH64V/BT4S1ZR18/cW92IaFjASLFqfXz7sH28fdvrTVSrRRzbLMCDQqGRcUxLI8K5LGPjuv7Gqm3Tp2ki4T4FsrM3hsUz0Hmo8aQL+6u4WH19fyz+sLp2QsOxkqhYxbFqZw4cwYmnsdmENU4wplU2HA4Rk3/ay5z4ElREX/cIsMgNfvD1YB9Ns9bK7uPiHBRymXkRIRMur8uX3+oNgDsLdpgNLWAZZlTS74uL1+3trfSkPPEIvSw5mXOtZMu7RlICj2QEDwmIrgkxdr5NOKLgBmJ5qDy7+3KovX9raQEq5jwQTm3QBhejWP3VRMXfcQubHGMalbSzLC+d6qLBp67FxVfPJVYDKZMCXx86b5SfTZ3SzNjCBrxPa7G/r5aFiweGd/G8uGjYYL4k08tz0Q7Z1zipLmJqPf7uF3H1SgV1Xz9G3zKJygau1H52ezemYsKeE6zCEqPD4/7x5ow+r08ODVM2nud5AfZ+JA8wDXz0tkVW4UWpUcl9fHoMMTbHlUKQLixYqcSETgw9J2VuVFs/F7Z1PdaaWyw8bjNxeTMuJav3pOAjq1ApfXz4XDQs1b+1r57n8PAPDHKwu4oiiQdvXVpWn4EalsH+IPayrIizWyobKbn7x5iBlxJv5+bSGJYUfv38QwHfdfkMtDn1QFRRWZAPGhWry+wD0olwmkhIdQ0aFhdqKZKJOGtAg9c1PUo8SmI7y6u5lHNtYCAU+xP35QSUXHIHKZwLrvLiNBqmaVkJCQmDKS4CMhcWbxBLAbWDD8uBl4BTgjBJ/eITc/ev0gaw4dnTC7vH5e2NHESzub+N3lBVw5hYjXz5PNNd3UdtuPvyHw2p4WLimMCyaZSJw8oSGqcZNnPmt21vdy93N7cHn9wWVp4XrWVXZNul+71cUlhQZ+cF5OcFl2tJH/3FzMoxtqeftAa7BKoyjJzD1L03m/tG2U2HP0WE5+8mYpL981H90pSEgL12sI159cBUyCRUtJqoVttaNtx5bnRPLKrtG+SSWpYewdYRh9osljgiDww3Nz+NnbpVR32bi6OIEZsaYx203F9+idA61855X9ADyxuY437lmIVxSRCQHxY01pG394v4KsKAMVw4a6JZNUjozkziWpJFhC8Isi5+YdjcWelRg65da5GLM2aJB7LFqVgnvOOr7wdKpZnhM1riiQGa0n1qyhtd9JUbI5uPzKogQyIg3o1HKyPgfBZ39TP6IIgy4f5e2DEwo+Rq2KBSNS+dZXdPGNl/YBcGNJIosywtnT2Mfjm+oJN6jQKmS8vq+NhelhxJu0fPOcTKJNWi4rjEMuCPzynTLcPj8fl3XwwTeWkBqhJ8IQwfy0sT41eo2Sa+Ym4vH5OdDUz4DdE/QPAkYJpeYQFXsb+9lRF2gTq++x8+8NNfhFONA8wO6GvlGCzxEWpIfx9oEWLp4VywX5MVh0ai7/1xbUCjm/vmwGK/Ni0GuUVLQP8sy2ej4obed3lxXwwaE25qSEYRlRhXSkPVIpFwjXq8mOCdwP6RF69Gpp6iIhISExHaRPTQmJM4s0URSvFgThWgBRFB3CVBvhvwS8uKNxlNgzEr8IP3jtIJlRBmYmmD/fgU1Cdadtyttur+ulx+Y+pV4iEl8ML+5oGiX2mLRK+h2eSfY4ynPbG7lpfvKo62BGnIm/XDOLu5al0THgRK9RMCPOREPPEK/tmdirqLTVyo7aXs6aZgvFZ4VaIed7q7L5ziv7gkLoovRw7licyvKcKJ7b3kBVh43saCP1PUPBtDWtSjZpdcvxKEgw8/JX5+P0+NFrFPj9IvdfkMOv3wt4Cf3o/BxmT0FUaeo9Kt66vH7eP9TOnz+uRCYI/OHyAv67u5ma7iHy40wsSg9ncUY4N82fWpWYUas6oyr8MiINvHb3QvrtbrKij1b+yGQCs5Om7w11olxQEMOO+l6ijRoWpU+9SlQYYSfT1Ofgnuf28ovVuTT02NnV0MfZ2ZHIZQJba3q4aX4Sh1qsuH0iHq+fpVkR/GrYx0omCOOaVTvcXv6xrpqtNb3cuiiZOUkW3j3QwvM7mkmwaLljUSrfX5VJv8NLWsRoAeeOxakM2CtYkRvFm/taWT0zlofX12LQKMiMHr8qqyjJwqt3LUQmA61SwcMbatg/LCQ/v72Rr52VzubqHvY29VHTZWdlbhT/781Swg0qLp0Vx7fOyQoe64qieBIsWgwaJQXxZhItIayeGUtGpP64xt0SEhISEqORBB8JiTMLtyAIWgJGzQiCkAaMdXn9EtJjc/HklvpJt/H5RT4u6zitBJ/pFiX4j9f7JXHaU9Fu5Y1jDKPTIvQcbhtbhTMeg04vDb1DY4Q/QRDIiTGOSvZqG3Ae9xprPcbD6ItmdlIor9+ziAPN/aiVMgrizWiUchLDdCzLikQURSo7Bnlicz1dgy5mxpu5dVHyqOSqE0Ehl6EfTsOTyQTuWJzKeTMCxrNTNUxflBHOk1vq6bN7uKIonie31COK4BNFHt1US1FSKFtqezjYEnivv748A+1xqqt6bC5e3dOCTIDLCuOx6E/vCfGg08OAw0OcWTtl492JiDZpiDZpeH1vM4earayeFcPMKcacnyqKky28fe+iMS1wx2NZZiT/vH42m6u72VjVTYhSRpRRQ5ct8E+yy+MjzqQlN9bIkNOL0+vjnAfX4/GJPHjVTB6+sYhttT2UpISRHD62VXFHXS9/X1uDWiHjnQNt/N/ze7lsdjwev591FV3kxRjRqBQ8vKGWxzbV8d+7j0bEr8yNZkFaGMv+uJ6uQRdKucBTt84hxqSdtC1SpZTx0Noq3t7Xyu2LUzGqFSgVMkQRXt7VjEYpo7XfyeKMcBBFHB4fTb0OOgdHt5sq5DIWph+tVArTj9/6NRGflnfSMejknNzoUZVDEhISEmcikuAjIXFm8TNgDZAgCMJzwELgli9yQJ8XNZ22cROMjmVzVTffHvFL4xdN4hS8Yo6QFaWXvtx+CWjstY9pPxIEjuvjNIopbmueQhS6KeTURLSfSkwhShZPELEsCAJZ0UZ+e3kB/+8iLxqFfNqT8aky3WS8oiQLr9+zkHark8xIHU29djZVB0y2c2KMXD8vkYZuO7XdNu5ckkbxFCpVXtjRyB+HE8TcPj/3LDv5tqvyNitPbK5HpZBx66IUUk7Qc+lYWvsc3PvCHvY09vPzi3K5eeHJ5wiUt1mH08mgvneIx26ec0LH2dfYx0u7mkgJ13PT/KQpJaMd4USuL7lM4Pz8GIqSzBQmmMmIMpAfZ+K3l+VzqHWA1QWxOD0+HB4fBfFmnthSh9MTqPpbV9HFn6+eFfQtGo8wvRq1QkZymI5ddX34RWgbcFA/XBlX1j5IemRAvPH6RWzHeGNplAqKksysOdTB7EQzsxJC0R2nnaq6w8bf19YAsKm6m8xoA16/yEdlHXx9eQYrcqII06kIUckJ1akoa7MSadRw8cy4aZ+/idhZ38utT+1EFKHT6uLryzNO2bElJCQk/heRBB8JiTMIURQ/FARhN1ACCMB9oih2H2e3LwVTnSv7p7zl58OijHAiDeopiVXXzE0k5BR4rUicftR02ciKNozrtXMsISo5iWFTEyLy4kwszggPJiEdS6RBTck4xsL/K5yO94PPL/L01noq223cvCCJmfFmFHKBK4oSSLCE8Mzt83B7/VOOkB7Z+uf0+HjvYBtVHYMsz4liRtxYr6Gp8Pjmel7e1QSARiXn/vNzjrPH1ChtG2DPsK/SM9saT4ngY9AoiNSr6Rh0TclMfSIe2VDLe8Mtv9nRepZkfj5tjFFGLVeM8I67Zu74bXmzEy3IZfX4/CJzUsYXAkVRpNPqxKRVMSPOxDO3zaOu20Zjr51/fFpDoiUEW4KX8rZBLsiPoTg5FK1SToxJE7zP11V08s6BNuanWnjg0nyun5dEZpT+uGJPacsA3TYns+JN7GsewKxV0Nhjp6x9kBU5kcgEEbvby5v7W9lW28uPL8jho28tRSGXoZSfurh0j88fFMc9Pv/kG0tISEicAZx+34QkJCQ+MwRBeAt4AXhLFMWhL3o8nycpETrCdKpgRPFELJiiQernRbhezX0rMrj/9UOTbpcRqWdl7tRL3iVOX+JDQ5AJo9v5+u0eZsVPrXrrxpIk4sxTm/gq5TLuW57BwZaBUcatAAqZwM9X5xGunzgyW2L6PL65jveGk9Z+8mYpL9wxj/nHfO5MVewBuGpOAm6vH0GAwoTQYHXDmtJ23rhnIeppVKocQSk/WrGiPIXVUdnRRnKiDZS1D3JF0cknfQHEhYbw9G3zqO+2MTflxMXJI2KRWiELRr+fTpw7I5o3v7YQt9fPrAnajp/aUs8v3jnM2dmR/OGKmcxNsTA3xYLPL3Lt3ETChitAt9b0sLW2h7jQEO5bkRnc3+vz87O3SnF5/fTY3DT3ObhuXmIwLn0i9jf1c9XDW3F5/TxwyQwsOhWbqnsxaZXcvTSVNaUdfOeVg9y3PCNouP74pjqijRoKE0OJCz11vnMlKWE8dG0hHVYnFxbEHH8HCQkJiS85kuAjIXFm8SfgauC3giDsAF4C3hFFcWxe85eMSIOGmxYk8+BHlRNuIwiwIuf0MKcdyVXFCdicXn67Zvx49pwYA3++cua020skTk9yYoysnhnLG/taRy2v6xkiL9ZIaat1wn3jzBoun+ZEujjZwrO3zePt/a28uqcZj0/k/BnRrJ4Vx/y0/93qntOVDuvoj1urw4PV4eZQi5Uoo5q0yONHlY8kITSEHw5X4Gyo7Ap+RvTbPfiGH/QNuekcdJIaoQ9WUwy5POgmSBa7dWEKWqUcpVzG9fOmZho9pbFaQnj2jnn02tyTesFMl6SwEPY39fPqnmYunhVHhGH6gs3dy9IoiDcRHxpC3jgpbCdCU6+d0tYB7C4vBo2S5TlRJ9VeeGzFVl3XEK/sbiI0RMW18+J5emsDfhG6bW7WlLZxbl4MoToVcpkQ/Pehpc/BXc/uwe3zs66yiyuL4rkgP5a4UC1tAw7mp4YRopLz2OZ6Pq3oRC4TuPfso21RdpeXTdXdhOvVQXPs9gEnPr+IIEBTnx2DVklLvwOLTsWQ20tdd+D3peY+O2nhOmq6h5gRZ+Tbr+xnWVYED99YPOFr9vr8bK7pRobAwvTwUefP5fXx3sF23F4fF+QHUsBkMoGLZn7+yYoSEhISpyuS4CMhcQYhiuJ6YL0gCHLgbOAO4HHgs8+uPQ24bm4Cexv7WFcxfrT1L1bnMTvJ8jmP6vgo5TLuXJLK/NQw1lZ08klZBzaXl5xoI+fkRbM4M5ww3en3i7TEiXPN3MTARGZES0JDj52cGAPzU8PYVtczRvwrSgrlZ6tzyYyanmAAgYnkjDgT31iZgc8vTiliXOLEuKI4nvWVXXh8IovSw5gRb+IHrx3ivYNtGDUKHr9lDsXJJ/Y5ND8tjJ9flMv+5gGyovWsr+iiKMnM3c/tZXdDH99YkcEdi1P5/Zpy3trfyq2LUrh7aRpDLh99dhcJFh1ymUBapJ4fX5h7il95gDCd+pR/Xn10uIPvvXoAAJvLyzdGVK1MFXOIigsKTp1QMGD3cOczuyhrG2RuioXydit/u6Yw6Lvj8vo42DxAjElD3AmK9W/tb+FA8wDbanuQywNVQJ9WdNI75OaHrx1iS3UPRUmhnDsjmmhToIpGq5ITH6qltnsIg1rJP9fV0G/38L1zs/nLR1W8ureFC2ZEo1bIcHn9eH0if/ignJRwHZcVxvPEljr+8EElSrnAC3eUUJxsIcakYXlOJBqFnPNmxBBn1nDDvES6bS5++lag4kgpl9Hc50CpkPHTC3P429pqXF4/Lf0O/H5xQiHspV1NwQrXf1xXOOo9+qi0g28OR9t7fH5uKEk+ofMoISEh8WVGEnwkJM4whlO6LiJQ6TMbeOqLHdHnR4RBw5+unMk7B1p5cUcTZe2DyAS4sCCWSwtjJzXA/KIRBIGCBDMFCeYTmsxI/G9RkhrG368r5L6X9uJwHxV9ytoGMagVLMmIINqoRqdWoFMpKE4JZV5yGBrV9Nt3RqJVSl8LPmvOzYvhrXt19A65yYkx0m1z8t7BNgCsTi8763tPWPBRymVcOjueTdXdPL21kZZ+B99Zmcnuhj4A3t7fyqK0MJ7a2gDAnz6sZE5yKL98p4zSVivfWpnJ/52dftLpWacSn19EPiwGDDrdNPU6iDVpMY8wqB85WoGpjd3r87OvqZ8wvYqUcVKuThaby0Nlhw0IVHWZtSo8I/yWnthUx2/XVJASpuPZO+YRZ55eW9PWmm7+ua4Gn19kWVYEW2t6qeuycf3cRH75XiCyvbx9kJ31fXRYXXz/vGwA9GoF31qZSWu/nTf2tdJv96BWyOgedNFjdzM/NYxOm4tlWRGkR+hweX38a30tAMlhIbT2ByrUPD6RjuF0rXcPtvFBaQcAsaFa3trXQl6sibvPSkUQYG15J7csSGJTVTcquUBNl41r5iRgdXq5ZFYcMplAS5+Ddw60YtIq6RtykRltZHlOFLvq+4Kvuapz8ETeCgkJCYkzGumbnYTEGYQgCC8B8wgkdf0DWCeK4hnlahimV3PzghSuLE6gZ8iNUiYQZdScVhMcCQmAc/ICnh2flHXx4s4GWvqchKjkXFIYxzm50cxLtZxSs1OJz4+cmKNFlTIBZiWY2Nc0gEwI+NycDF6/H48vUDkB8H5pO1cWxfNRWQd3LU3DrFNj1CiwOr0kWrS0DTiDbYL/XFfNjfMTCQ05PSoGN1V18bO3SymIM3NDSSI/fuMQLq/I/FQL15UkkhKmR6uSsyI3it9fXoDV6eHiWVNLfHphRyM/ebMUi07FS3eWkDFBZZzV6eG5bQ0MOr1cPy9pyn4zcaEh/OXqWWyu7iZ12ENu6YgfFQ4Nn/O6niHaB5yjBB+3189/NtayvrKL82ZEU9tlY3ZyKJfMimfQ4UEmg5rOoaBhd6xJw676PoxaJb/9oILbFqXQZXMx6PTySVkng04PFe0DyGVyPq3o5IF3y9AqA2bcPlEkTKdia003A3YPsWYt7w4LkPNX5+D0+FmaGUFpaz96jZJr5ybi84tEmzQszggk5UUZA9eLXCZgc3ho6XfS0u/EpFXyrZWZpIbryI83c8uCFN4/2MY7B9twef3cujCZOSkBcfPJLXU8urEOQYClGRF8WtFFU6+dEKWMZZkRIMCMWBOPbapFo5Bz2ew4VuZF8eerZuL2+rlgpuTXIyEhITEekuAjIXFm8QRwnSiKvi96IF80ISrFaZngIyExkswoI5lRRr6yIJkhtxeVQoZBI7VbfZkwh6h46NrZbK/rJc6sGWPgPF0sOjUXzYpja20vLq+f/DgTv740n596vMFWvadvm0dZ2wCzEy24fT70ajk2l4+VuVEYvqB2vtY+B795v4xum5v7L8hhRpyJdw+0Ud05RHXnEFEmDYfbAhUesxLMPLW5nj1N/VxeGMedS9K4ak7CcZ5hNFWdgeqb3iE3rf2OCQWfdeWd/G5NBRBoh/q/s0fHfLu9fv67u4mWfgeXzY4nbYQ30UUzYyf0k7mxJAmBQDtl/jHePOXtVn7/QeA5W/odKOUyXtrVjM3p5a+fVKNXy/nVJTO4YV4iHp/IDSWJpITr+Pk7gcqeJzbXc2VRPKZQJdcUJ7C7sQ+r08PbB9pYPiw6OTw+ooxqXtzZxCflnRTEm1DJZXj9fuQyAYNazpDTF2y9+vEFOUEx8reXF4wa7+Wz46ntGkIE9Bo5M+NNRBrUuLw+/vxRJc/dPo/3Drbh9vrptbuDAuOhEX5kqmHxWiYIGDQKmvrs/Oztw5yfH01OjIGsaCPNvXZ+Ofwa9RoFF8+K47LZp8b8W0JCQuLLijTbkZA4gxBFcY0gCAsEQUhmxP0viuLTX9yoJCQkjodGJT/pdi2J05cES8hJRYofy+Wz48mJNtBhdVGcHIpMJozyZZqVYB6V9PTq3Qto6XdQmBCK4guqGttS28PbBwKVJR+UtjMjzkRJahgv724mK9rA/FQL/93VhNsn0m1zIRMEqjpsvLKrmRU5UaRP07vqyqIE7C4fiWFa5gy30HUPunB4fKPei3CDGrlMwOcXiRrHDHpLTTc/GvaYGXB4+dUlM6b0/PNSw5iXOr4peqRBTWq4jtruIRItIRxsHkAmCBxutTLo9NA16GJHXS+/ujSfT8o6uOmJnRTEmfnhuZm8f6iDrGgDB5r7aex1kBdnpKxtkNmJZgriTPQ5PFxVHI9JqyRcr+JQ6wAAFe2DvHHPfLw+mJ9q4dOKbrbV9QariNoGHDy1pY75aWFkRo2uQjNolOg0Ch7dUMutC5OZlxrGIxsCbWAXFsSwr6mf77wS8Fi6bWEyGqUMr09k0OnB5vKgVyu5dVEKCWEhhGqVuLw+9jX1A7CjrpdfX5qPOUTFC9sbg8+pPYH0OQkJCYkzEUnwkZA4gxAE4RkgDdgHHKnyEQFJ8JGQkJD4EpEbayJ3ih7EWdFGsk6ylexkyYk2EKFXMeDwBsWoiwvjmJ0UilGjxBSi5I9XFvCXj6sDrU550QDkxhoxhky/Kik/3sQfr5oZfFzdOcitT+6ktd/J36+bzbkzAsdfkBbOy18tYcjlY8E4qXUapRxBAFEE3RRFWa/Pz9Nb6znQPMA1cxMpOUb4iTZpeerWOTT02GnqcyAXBBItIdjdXhamh3OoZYAwnYrmPjtv7GuhfcBF+0AHBo2CtgEnhUmh6NQKokxqrp2bSF6skVd2NqNUyLhuXiIDdg+PbqzjhR2N/OayfLbV9hIaouTWp3ZxZVEC+5v6iTFr2Vrbw4UFMZhDlFR32Hj/YDulrVZ+eF42oSOMtwedHp4ZTgh7amsD31uVBQRavFbPjMU9wruortvOrAQzSWEhDDm9qBWBcxamV3NpYRwfHGpna00v5+RFoVHKWZoZgUyAdw60khap4+/XFqJWyjg7O2rMeR10efjn2moqOmzcsyzthL2wJCQkJL5MSIKPhMSZRTGQK4rjhXtLSEhISEh8MeTFmXjtngXUdNlGmSiPrLZZlBFJ75CHc2dEszgjnEtnx5IZZSTSoDnp569ot9HYG/A92t3QGxR8AIpGpDf22FzD8eciN81PoiQ1jD9cUcD22l40Shl9Q25CRxhKj8fhNiu/GG5Nsrm8owSfviE3T2+tx+X1c2NJErMSzbT126nvcfDW/lYA7js7nQfeK+fJLQ3cUJLE2/vbiDNraOix0zHoorJjEINWybfOyaQkNZzWfgdWlxdcEKFXs7EqkFSZF2tCKRdYlhnOgx9Xkxyu5x/DRtCxJg2XFsZx2ew4WvqdvLi9ntxYI6/sbkajlJMfZ+KSWbEoFXKMWiX3np3Ov9fVcNviFG6Yl0RyuB6zVsmcFAsOt5fvrsqkptPGkNtHXdsQ5+VFc25+zCgfsic31/Ob98uZEWNkdrKZgjgzbQNO3trXyrPbG1ErZLzxtYWjPLBGsrehP2gwHWVUS4KPhISEBJLgIyFxpnEIiAbavuiBSEhISEh8+fD6/HxwuB2rw8MF+TEYtZOLHyN572A7v3m/nFiThhfuLCEpTDdqfb/DTbfNjVohIyFUS26saYIjTcy22h56bC6WZEaM8sMqTg7looIYGnrsrMqLnnD/NYfa+esnVQBYdCq+sjCFfU39vLK7GYCsKCPnF0xuIByp1wRbto717/morIMHPw4c36xVcefSVKJMWkpbjyZU2VxeipNDaR9wUhBvZM19ixlyebnn+T3IBDBqlEToVcxJDghJizMieP9gOxqlnAXpYeTEGFlf2cVTW+q569m9nDcjmiG3l1izhpxoA6YQJanheu5aloZKLvCtl/eTFqFnS0Uni9LDeXlXE09vbaBz0MnXzspAEATuWZbOjSVJ6NUKBEFgZW6gAsfvF/nXuhr+vb6WxZnhDNpdPH/bPNLGacEra7OSFWXA7ffzzLZGwnRqHvy4iqWZAXNol9ePzemd8LwmhYWQEKqlqc8x5rxKSEhInKlIgo+ExJlFOHBYEIQdgOvIQlEUV39xQ5KQkJCQmAi/X2RPYy9+UaAoKTQYUX66sr6yi689txcAm9PLHUvSprxv1XCMeeuAk06rc4zg88L2Rv74YSUQMDP+/rnZ43oOiaKIw+MbY8y/uaqbGx/fjl+E+5Zn8M2VmcF1UUYND103G1EUJ01tjDSqgy1c0SYN3TYXA3YPggAGjQLzcHvZwZZ+2gecLEwLJ0Q9ehzRZg3P3DaXln4HBfHmUessIUpkAviHjw+BWHeLTsXqmTGYtUq6Bl1sru6hKCkUlUzGK7ubGXB4uP/8HBp77AhCwGC63+5GFOG5bQ0UJ5uZmxxGSrie9EiBqs5BBl0B8WTA4aGx186i9DBizVqe2dbAkMtLVccgjb12kiwhfFDazo0liYgI7KjrDbwHfYFYdrfXzydlHYiIRBk0qJVyZgwLLnXdNh7eUIvb52dTVTcffmMJSeGj39cjXDM3kTf3NvPCzoB4dqjVikImoFYI3Lk4hcxoA0VJoRO+N0lhOl7+6nx6h9wTVgFJSEhInGlIgo+ExJnFz77oAUhISEhITJ2XdzXxg9cOAvDLi/O4cX4yEBCCnt5azzPbGlicEcE3V2RgCpl6Nc3JUN9j4+F1dagUAncvSyPaFIgU31nXy4Fhs10IGMRNh+vmJQKQGaWnYISp9BH8R61gqOsZwur0YNGNNlJ2uH38bk05b+1v5dsrM7m+JCm4rt3qwD88qIaeoXHHMJnYA7AiJ4oX7yzB7xcpSQ2j2+ZmW203i9LD8fj8xFu0lLdZuerf23B4fHx3VRZfOyt9zHHiQkOICx1t1D3k8vLGvlYWZ0QwI87IecNtZefkRLGpuoumPgf7mvppswZ+r9nT2Me7h9pZc6iNmQkm/v5pNbEmLeuruhBF6LN7SLKEUNFho6nPzuObG/jFxXncND+ZktQwChPM1HbbyIrSc3ZWBIIQ8NhZkBZGmF7FbU/tos/uYWVuFDJBoLnfQb/dwzVzEogzawCB3fW9NPbaeWZbA9kxBl7c0YRMEHjiljlkxRj4ziv7WZwRzsaqblblReEV/ceeiiAlqWHkxhoREdhU3c2VRXFckB/Fp+XdlLVbWT0rDtkkgqcoihg0SmJGRNxLSEhInOlIgo+ExBmEKIrrv+gxSEhISEhMna21PcG/P63o4sb5yQy5vLy+p5mfvX0YgJquIfLjjFxeNL1o8hNlzaEOXtgZSEzKjDJwfUkSvUMuvvrsbnx+kfNmRDMnOXTakdmzk0KJMWmo6xnC7fMHDX2PcH1JIv0ON239DuamWggdR+Cq6bLx5JZ6AP7ycRWXF8WjGU50WpYVyS0Lk2nqtXPDCCFoPPrtbt4/1I5FpyInxsA7B9qINGhYPTOWeSlHPXciDGr+cs1s9jT0kR9vItGiY0tNNw5PIBehc9A56fP0Dbl5bW8zGoWc4qRQ3hlOKtte18Pti1LxOUQeeK+cvU19rMiJItKoIdGio2PQSZRRQ1m7lcwoA4eaB9CqAtVFR1z67G4vm6u7MWoUdA0GRKKy4Sj01Ag9L95ZgsvrZ3N1N3/8sIIriuJ472A7Fr2KlHAd4QYVfXYPMgEKk8zsaejHFKJEp3by9LYGdCoFlxXGUpBgQi4TsDo8+EXwiyINvXZCdSr2Ng2gVyu4aGYsGys72VEXRpRRw+EWK4lhIUGx8AhGjZLfXl6A3e3lyc11vLK7hbruIZZlRfDijka+fU7WuB5Jfr/I39ZW8fjmOu5Zms5dy6ZeWSYhISHxZUYSfCQkzgAEQdgkiuIiQRAGGf2jqwCIoihKtc8SEhISpyFzUyy8uS9g1rskIxyAZ7c1sKm6O9j6A4wyv50qLq+PV3c309bv5KJZMWPito9wqGWAp7c2EGlQcduiVDIi9chlAgqZQMiIZCqBQHvQrvqjUdrH0j7g4L2DbTg8fuLNWlbPig1W1fQMubjt6V0cbrVyy8JkfnZR3qh9w/Rq/t9FeQy5POjU4ydzxZm1lKRa2N3QxyWFsUGx58j+I49Z22Wj2+ZiVkIoKsXo8/f89kZ+/0EFAPcsS+Of62oA0KvlnDsjhrf3tfLa3kAkfLRJw7rKLvyinwG7B71GwQOXzqBjwMnqmZNHpb2+t4VfDhs4/+Xqmdy6MJmXdjbxtbPS6Rp08vKu5qDo19znYH6qhdlJFtr7hzjcbsPj9ZEaoUcmCCSH6/D5/PzykjzcHj9hehXfeGk/58+I5uo5CQw4PFxRfFSEU8hl1HUP8ciGWmq6hthS04spRIlcEHh2WyOXz47j4oI4ChNNZMYYeHxDPe+XtjPk8iGKAS8hp9dPtFFDYWIo22t7WJkTiV6jID/ORHa0gZ9ckMOWmm4GHG5EoCDOzG/fL+fZbY3kRBt46ra545pu99jcbKnppa47UInVaXURa9JyqGWAxcOePiPptrl4aG01Pr/IPz6t5rp5iRi1009vk5CQkPiyIQk+EhJnAKIoLhr+/1iXRAkJCQmJ05Zr5ySSFqFHFEXmDKcOVXYMsr02kCTVN+ShOCk0aJJ7PLoGnby5r5XQECV6lYIfvX4IgPIOK4/eNGfcfZ7Z2sDLu5qAgDHulcWJ/PDcLNZWdPG9Vw8QblCzOCOCh28sYntdL/NSLNR226grt7MkI5xI49EJ/e8/qOC1PS2YtErSIvREmzTMG06p6hvycHi4AmV7TQ/rKjrQKBUUJYWOErQmEnsADrYMUJQYiHL3+ES6B12EGwJtX26vn3UVnSgVMmJNaq55ZDt9dg8/Oi+bO5eOrgjxjugf8/nFEctF+u1uvv/aAexuHweaB0iwhLCvqR+TVsmDH1cD8LvL89le10v3kJvvnJOFZYLkLvWw0DQjzsiWmh5MWiXv/N9CksP1/Oa9crbV9ZAWoaemy8ac5FBuXZRChEHDJ+Xt/OStMhalhweTqdIj9Tg9PgqTQjm3OJqPSjvIiTbwSXknf7u2MGhGPWB38+qeFjqtTh7dVMdFBTHsberH7vJyQX4Mf/808Bp21PcSFqLksU0N3FCSQOegi4Xp4Ri1CjRKGSEqBaUtVl7d08LKnEj2Nw8AsDA9jE8rOpmZYCbKpGFzdQ+zk0L5zsosMqIMrC3vBKCsfZD2ASeRBg1ryzoobx/kgoIYXF4fOpWC5DAtRm00bq+fKKOami4bCWHjt2tZdCpuWZDM45vruGVhMgaNNMWRkJCQAEnwkZCQkJCQkJA4bZHJhFGx3QDz08J4dU8L7x1sZ1lmOHcuSUWrmtpXume2NfC3TwIT+vvPzwkud3km9laJMBz1yQkb9swpb7expSZQedLSF4gzL062UJxsobzdysV/34zL6+faOQn85vKC4P69Q24g4FejUcrYUd/LuwfbuHVhCmkROn54XjbrK7tIj9Rz97N7cXh8/PSiXL6yMGVKr+9vn1ShUcrZVN0NQF6sgSuLA95AT26p49fvlQPw0wtz6LN7ADjUOjDmONfPS8KoUWLRqcmNMaCQCUQaNSzPjkImg5IUC2srukiwaJmTbGFfUz/yEf4/lR2D7GnsA2BfYx9n54wvyF02Ox6DRsGhFiuPbAwIN8lhOlIiDMSFanF5fFyQH012TDrnzThaDZUfZyYpTItCJpARqaeq00ZujAGfX6S8fZBBp5cfv3GI9Ag9T9xSjNsr8vO3SlmaFUFDzxC/evcw81LD8PlF1lZ08utL8nhjXytPbqnjjsUp7G7oJ8akoXvIjdfvZ1ttLzZX4Hwp5QIXFMRwqLmft/YHBLpIg4Y4s5Y4s5beITcpw4bb/XY3Tq+fXfV9zEux8Oy2Bu4/P4enNtdTkh5GVrSBfU193PnMbrx+kYMtAzjcXuJDQ2jqs6NXKbmmOJ5eh5ebFyQTYwqcE7VydLufQi7jB+dlc+fiVMIN6uN6MUlISEicKUiCj4SEhISEhITE/xCXz44n1qylb8jDvBQLhmm0rogjmnpjTBruPz+H1n77pP4/ty1KITksBItOxbKsSACunpNAm9VBQmgIZ2WPbrEZdHhweQMCUuvAaA+b756TRUaEnhC1Aq1SxkNrq5mbEsbXX9zDzHgz185N5J+fViMThKAPTmXHIBPh94usr+rC5fbh9PpYmB5GeXtge4VMIH6EMXJDjz34t9Pr55rieA62WrHoVLT2OYgNPVo9EqZXc8sIkem752bT1GvnwY8qUcgFvrcqi4IEM9Udgcqbs7NLMGnkFCeHIhMEBuwuVuVFY3d7eWZbA4daB7hzSdqoFjMIpGmtnhWHRinnP5tALgu0ZgGszI3kzX0t/G1tDefkRhEaomZ+WqCtL9Kg4S9Xz+Lt/W102VwsTD8iCgqE61QcbB6gKCmU3Q192F1efvTmIfJizDRta+C8/Ej8Ihg1Cs6bEUV2tBGfCD1DblbPimXI6cXqcLOnsY/VM2PYUNXNhqpulmVGEKaX0djjoKrTxqqcaK4qjqdr0EVZu5WMKD33npWGTJBRmGgG4PwZsfTYPChk8KePKvGLsDw7goSwEG5fnIpaIad70I1cJuD1izg9PgYcbgrizby6pwWHx0dSuI7vnZtNRbuVK/+9FY9P5A9XFASTwI6glMuIMo1tD5OQkJA4k5EEHwkJCQkJCQmJ/yEEQWDB8MR/utxQkoRBrSRUp2RlXtQoY2SfX+TFHY3sb+5ncUY4F82MAyBUp+KK4tGC0JwUC8/dXjLuc8xOsvDAJTOo6BjkssK4Uevy4kzkDU/U9zT04fVX4fb5ONBs5UCzleU5UTx/Zwl1XUMkhYXQ0ufg8knMn9dWdHL7U7s4OzuSteWdCAI8eNVMLiuMI9qkZeZw2tfmqi621/WwLDOCGLOG1/e0sGpGNG1lnTy5pYE5yZZRgs94vLKrKViFY3N5eXprA4IA+5r6ef1rC4kwqPH44b+7m2gfcOLxi9icXnY19PFpRRezEswsyYwc99jn5EXz+j0LUcgFjBol7QMO6rvt7GnsB2BnfS9zkkOZEWvCoFXSYXXwQWkHCIE4e7fPz6WFsRjVcn71XhmiGPB8+sXFuRQlWViWGcnLuwJx5xEGNd9flUVTn4O9jf2syIniJ2+WYnf7aOy1c+9Z6RQmmlmZG0W7NSDYHQnHGnB6cHk9hKhVrKvsZHl2JPtbBkgJ1zEjzkBRkoUDhcgrpAAAOrxJREFUzQPUdQ+RGqHHoldx34oMDjb38+ePq0AU8YsCr+5p4cb5ScxKCMWgUXBBfjSDTi/5cSZ21vfy90+rubQwjh6bk/mpgVbGbbU9HBhuG9tc3c2MOBP9djd7G/tJCdcFhTIJCQkJiaNIgo+EhISEhISExGmMw+1jV30vEUY12dEn57EfZdRw59LUcddtq+nh/jcCnj7/3d1Marg+KM5MRG2Xje21PeTHm4MVF3KZMCoOfSJmJ4Xy5tcWsrm6my01PSRatLy9v5UlmRFcPCuOC49jeAxQ3z3EovRwIvSBVjNRBK1SwarhSPOtNT08tLaK+FAtTo+fdZVdLM4Ip7LTRlL7IC6Pj/QIHdkxxz+vI02AE8wari6OQ0Rgf1M/b+5r4fp5iXznlf1UddowaZVcVRxPXXegqkinko/yMjpCTaeN1/Y2kxgawoL0MKo7bVz6jy1oVTK+uiSVkuRQttX3UZISRln7IL965zC/vaKAp7Y00NhrR6OQsTI3ktRwHe8dbMMnwvzUsIAfUIiSm+YHqpRyYo5a+NndPobcXp7fEUhae2FHE/NTw/ikvJMri+LpHHSys76P/DgTB1oGWJoZzow4I4darKjlcjKjjDyxpQEAjUrBewcDyWLfXJHO01vr+elbhzGoFfzt2lmE69UcbrMiQ2RZVgSReg37m/s4Ny862Pbl9Hjx+kXiQjVsr+9lc3WgVfBQywBen59vvbyf/9xcTGFCKDFGDR6fn+LkUAD+9GEFz2xrJCkshFfumj+uAbSEhITEmYwk+EhISEhISEhInMY8urGGP39URYhKzgt3lASrVk4V22p7+N375USbNOTGGDncZsUvBgyKJ8PvF7n/9YNsre0l2qjmkZuKSAzVYZ7AoHg8smOMZMcYyYzS89s1Fby6p4V3DrSxKD2cML160n1LWwb49Xtl+EW4sSSRX6zORa2UsTQrArfXj9Xh4c19LUGvoevmJtI16MSsVZEQqmVFTiQ/PDebML0ao1aB1+dHJgi8sruJ0lYrF8+MpWjYKBvg6rkJqBUyBhxuntrWiE6loHfITZfNxa/eLePcvGg0ShmL0sPRKmXEmjQYNEqumB1HgiUkKNaJosjLuxp5/2AHBo2Cgy0DmENU/PD1g9y+OBWP34/b4WdzTQ+58SbOzY+mvH2QdRVdXDwrjtue2olFpyLaoKZj0MW7B9tZmB5GzbC4NCvRzN1LU7kgPwZRFBEEgWvnJmG1e2nutxOillOUZGZucig76vvIizXyyeEOzpsRRbfNxYeHO1mYFsagy0NujIHiJAuNvUPoVAr0agUhKgUKmYBcJhBv1rAsM4Kd9b1EGTVsqAx4Jw26ApVNB5oHEMWA4OX1+ShvH+DWBclsqOrh4Q013Dw/mb9+Us2exn5Wz4wlSq9mcUY4B5oHOCcvmn98Wo1fhP3NA9w0P5n3vrEYURSx6NQM2D34/SKCAI29dgYcHknwkZCQkDgGSfCRkJA4aQRBOBf4KyAH/iOK4m+PWS8Mrz8fsAO3iKK453MfqISEhMT/IHuH23rsbh913bZTLvi8tLOJvU390AS3LUpGp5Jz0axY8o9T3eMXRWwuLwChWiUPfliJze3j3zcWBc2dg9v6Rd471Eb7gJPz82OINY9un9KpFcQO+6/o1fJRce9VHYPIZAJpEfrgsrYBBz6/H7lMIMUSQlWHjWe2NfK9VVn4/CL3v3mQt/a38tUlqchlAgmhWkpbA61Gf7yyAJlc4PuvHmRheji/WJ3Lt18pp6nPwb3L0vn+qwcBqGgf5Lnb5/Hc9kYqOwa5sjieG+cn89y2Blr7HehUCualWvi4rJPzZ0Qjk8HK7Cge2VSHzeXF7RPZVN3N7YtSsDq9CALkxprY09DLq7tbUCpkuLx+cmONHGoZYH5aGLUdg2RG6vH4REwaBYgw5PLR3OdkaWYEz2xrwO4OeBvdtiiZoqRAS1RquJ76riEQBDoGXEQZ1Fz6ry18/9wsripORKdWcN/KTF7b08wD75bh88NPL8rhsU0NVLZbKU6xEBqiYmNV1/9v787j6yzLhI//rqRp0qRtuqdrSlu6QFkKLYWyCIKIC4o7m4royKuOou+Mo44zzqLOjI6OzjiujAr4OiPDiDMiCCMWyyrQVqDQltKWUrov6Z4uaZv7/eM8hZCepEmT5jQnv+/n00/OuZ77ec71POfuac7V+74fAOat3Mppo6vZ29DIXQvWUVe/j8nD+7F88y5GVldw1Vlj6N+njO89kLtd/fXnjuOnj63kNZOGct6Jg6noVcrAyt4E8FC2gPabTx1OVXkZ9y/ZyPa9B7h/yUZmjhv88rS159bv4NRR1QyqLOOf3nUaj63Ywskj+tOvTy/OOzE3hXFgZa6YuHzTLj5861zWbNvLB88bx5QR/Zg4zBuRSlJzFnwkdUhElALfAS4FVgNzI+LOlNKiJs3eCEzM/pwNfC/7KUk6gvfNGsuKzfWcPLL/y4v2tte8F7fw0NJNzBw3+OUvz4dMHJYrpPQqidx6LpdPbfE4q7fu5h/vXcLOvQf47Bsm83dvP5WHl27mv+avYvveA+zZf5C1W/ceVvB5ZNlmPv4fTwK5Ys0XLp/K1voG5izZxPDqcv7qlwtZunEX504YxFffeRpb6htYt3YHm3bs5fP/8yzD+pXzt1dM5ZzxQ7jnmXXceNuTjB1UybevPpOtu/dx/5KNXDR5KN9/cDnnTxzCHX9YA8Ds5zZx7ycvoKwU1m3bx9rte7h34Xoef2Hry3nd+fRa6nbtY3j/Ch5atonJw/qyZOMuRg7ow9Ort/PXdy4EcgW3aVcO5LwTh3D1WbWs2b6HcYMr+do7T+UNp41g88591O1uYHdDrgiWUuLiycPYUt/A4nXreHjpRnqXlXLwYGJEdR/mLNnIe88ZyzNrcrd2f2RZHZeePIzLptZQv+8gyzbt4sePvMiZtQPYtGsfC1Zv47pZY1myYRePLt/MgYON3PLoi4wZVMnDy+r408smkRoTW3bv57tzlnOwMbFw7U7O+8r9XHfuWNZt38vSjTupq2/gp4+9xIyxA5m7cgvjBlfxyLI6ThlVzawJgxk3tIqJw/qyZuseBlaWccvvc1O/Lp4yjFt/v5KJw/ryjmkjWb9zH2+bNoplG3eyeutuzh4/mNED+7B9z34272xgweqtnDa6Pw8u3UxJ5BbKnr14I1ecPpKde/bw2slDmDqiP3922SRmL95ITf8K6hsOcu+z6ykvK+X2easZ3r+Cj712wquKfQCL1u7ghWxE03Prd/CW00a0/y+FJPUAFnwkddRMYFlK6QWAiLgNuAJoWvC5AvhJSikBj0XEgIgYkVJa1/XpSlL3cvGUGi6YOJSy0pKj2n/Hnv18/D/+wPod+6gqX8HsP7mQ4dWvjLC5PhshMaiqN9PGDGz1WA9nBRKAM2oHcOMlE/nlk2tZsXk3K9jN/3nNeCbW9D1sv0ZemR7WmN0B/gcPLuf7D7zArPGDeGlL7sv7yOo+XH3T40ys6cvidTt5wyk1TB1ZzYt19Ty9ajvnjB/Cg0s3s/9gYtmmejbt2ssPH1rBsP4V1O87wEcvnMCJQ6u4ZmYtv3xqDdfNGkt5rxJuvO0pNu/ay/ghfXl42WauO/cE5r64hbGDqvj3x1byjjNHs3LLHtZs28OFU4YxfEAF7zhzJEP7llOTTZ0aNyR3x68ThlRx5cwxfO3e51hRt5vrzhtHv/Iy+pWXMWV4Pz5w7li27t5P7aAqvnX/UlKCN54ynL0HGrlzwXpKAs4/cQiXnzaC2+auYsqIfi+vWzNnySZGVPfhmdXbeGlL7nb3T6/ezsxxg1i1pY6Fa3fw0LLNvO+cWvqUlVKbFXsA/ueptezY3cCEYX2ZNmYAL9bVs3DtdqaM6MfSjbsAGD+kL8+s2cFFk4bygweW07e8F0P6ljN1ZPC7JRsBuHZmLY8sq+Pp1du5ZuYYxg6qpK5+H2u27SEleH7DLnbsO8gt2To+75kxmmH9yvn275YzqLKMd5w5msrygyzbuIsXNu3mmpm1jB5QzjNrdvDayUM5YUgl/fv0YkR1HzbszBXaKnuXMrmmL4vW7WDa6Gqmjx3Iz+evZk/DAcYMeuVOa4ecWTuQc8YNYs32PYzoX8GIAU7lkqR8LPhI6qhRwKomz1dz+OidfG1GARZ8JKkNjrbYAxAB5dntwHuXllAS8artfXqXcvGUmjYda0pNf6r7lLGn4SCnjsqtSXPOhEH8v8dWMnZwJVfPrD3s1uMA5584lH++8nTWbtvLW7LFmDfvagDgsRVb+PIVp7Cyrp612/eyetseVm/bw3knDqZPWSkPZ1OCDhUtXjt5KP/95GrGDali6YZdvFi3mxfrdnPJScN4y+kjqSwv40tvO4XPvmEy1ZW9uXvBWp5atY2Blbm8GxP8dtF6po8dxK+fWcf7Zo1lUk1ffvjwChoTNBxoZMmGnazdtpcLJg7jZzecw+qtezjrhFeKYaeNHsCtHzybkpJXX8v6hoOs2rqXlXX1VPfpTcrqXP0qer18m/my0hImDuvL+8+tpbS0hLsWrOONp9Tw0NI63nr6CK46azQfOv8EZi/eyKPL6zh3wmCWb6pn3OBKfvX0OlKCtdv2Mn5oXy6cNJQdew7wzNrtnDCoigV7DrDvQGL99j18+tLJbK7fx+zFG3N39CI3reoXH53F7EUb+d2S3PStq2aMYdXWPcx5Pvc8kSsyQW464TvPHMXW3fvZsXc/Ywf1YdaEIfTv04uI3CLZg6vKeTG75f2W3fup37efjTv38cyaHQBUV5ZRXlbCvYs2MKJ/Beu27+W59Tup6l3KnoaDPLZiC8P6lfMv9y/j1584n8nD+1NSEpw6agB9epcwoE8ZjY3p5Wv94PMbWbpxF3//jlPZ3XCAYf0rXLtHklpgwUdSR0WeWPOVPtvShoi4AbgBoLa2tuOZSZLoV1HGt68+g98vr+PMsQPz3i2qrabVDuDXN55Pw4FGxmXTbC49eTgPfOYi+pSVMqAy/4LNpSXB28549e3VP3jeCfSt6MWYgX145/TRVJSV8utn1vHwss2cWTuQ8l4lbN61j9edNIz5K7fy+pNzRanXTx3Ow5+9mIqyEp58aRv3PLueSTX9+PD54xg9sPLl16vOcjltdDUzxg7kxbp6PnDeCbx2yjBOG11NVe9Srj27luljB7Fu+x6G9C1n4859DOlbzumjq6nNjjV+aF/GDz181FLzYg/AhZOG8rslm5g0rC/XnDWaqSP7s3nXPt5+xiiWb9jJmAF9GDe0imH9KjhwEP78jSdx5pgBfP+B5UwcVsWbTx3BySMH5K7P+X354Pm5O6q9uKme7z2wjDNrBzB6UCUTh1bx9jNHUV1ZzlUza3lixRb+c+4qnlq1jadWbePas2s5bcwARg/sw869B3hw6WaqepfyvnPGckbtILbvOcCAJ15ick0/pp8wkGfX50bzDO9fQVlpCe86cxQL1+7gxksmUjuoki/8z7Mk4KwTBvL2M0YxqaYfvUtLaDjQyHtm1LJqaz3VfcoY3r+CAVVlbKlvYMLQKkgwbkgVyzfuon95L/Y3JiqzgmCfslIeWLqJBau3M6K6gg+fP44xgytfvq5Thvfjn3/7PD948AU+cuEEPnnJRBav38EHb5nHgcbE/Be38t33Tm9z35WknihSav0ODJLUmoiYBfxNSumy7PmfA6SU/qFJmx8Ac1JKP8ueLwEuam1K14wZM9K8efOOae6SpOPPzr37Wb5xFw88v5Epw/vzmknDONDYSL+Ksrzt6/ftp3ev0lZHQe3bf5CGgy0fA3KLNC/ftItFa7bz7TnL6Vteyn9/7Dwm1rRvMeBDv1tH5Pu/DvjhQy/w5bsXM7CyjNs/MouJw/rx1KqtlJWUMDVbKDulxM/nr2bRuh28fdooqsp7cck3HgBg7OBKDjYmPnbRiVxzdi0PLd3E+3/8BG8/YxS/+MMaxg+p4tYPnsWYQbnbnu9pOMjjK+oYlk2devyFOk4dVc2ogZVU9CqhvKyUvfsPsu9AI9V98l+fe55dyxf+ZyGbdzXwkQvH87k3nvSq87193ioWrNnO+MFVfOnuxZw0oh//99KJnDKimkeW1zF2cBWVvUt5sa6eEwZV8dCyTfQt78U9z67j0eVbuHZmLX9zxdRXvYd1u/Yx6x/up+FgIxVlJTz6uYtZtWUPb/vuI6QEF00eyi3Xz2zXe3MsRcT8lNKMQuchSU05wkdSR80FJkbEOGANcBVwTbM2dwIfz9b3ORvY7vo9kqR8+lWUMa12INNqm64ndPg0sUOqylsu4hxSXlb68rS2lkwe3o/Jw/vxH4/n1qbZte8gdfUNTGxT1q9oqdBzyIrN9QBs3b2fjTv2MnFYv8PWTlq4dgd/9vMFAGzYvpdvXDmN988ayy/+sIZTRlZz78L19MpOZ2t9AynBfQs38JdvnsLlp4181RpNfXqXctHkYTQ2Jt73o8d5ZHkdIwdUcNcnzqe8LHftKspK807FO2RKTTU1/SvYf7CR85st+r143c6X72z2jjNGvRzbWr+fkQMrefeMV9bgOSUraJ0yOvfz8tNGsnJLPROH9TusYDewsjefet1EHnuhjlkTBjOgT28GjSnnW1edwfMbdvLGU4a3ep0lSRZ8JHVQSulARHwc+F9yv5H/OKW0MCI+km3/PvBrcrdkX0butuzXFypfSZJa88lLJjFqwGomD+/H9LGtL2J9NK6eWUtKuZE608cOytumuk8vhvbtzaZdDYweWElFWSl/85ap/NH547hv0QbOnTCYy08dycYdezlj7AA+/8Yp1DccPKzY01RjSmzdk1s3afue/ew/2PZR/uOGVnH7R2bRsL+RgVWvnrY3sKqM0QP7sHrrHmoHVfKXbz6J0gjeeOqR75w1sKr3Ycc7ZH9jIwtWb+fBpZvZd6CR954zln4VZS+vASVJOjKndEk6LjmlS5LUky1Zv5OXttRz9rhB9O9zeFHksRfquOEn86goK+HfrjuL00cPeHnbis31fPv+pZSWBDdeMvHltY2eWrWVOc9tYsYJAzl/4tBOy/WFzbtYuXk3M8YOpF8L08Laq+mULoAHPn0RY4dUdcqxjwWndEk6HjnCR5IkSe2yZutuVtbt5qQR/VscoaGOOTTFrCVPvrSVHXsPsGMvPL1q26sKPvctWs8df1gDwNSR/bnu3HEATBsz8LDpYwA79jTw7JodjB9a1eIIodaMH9KX8UMOX9i6Iwb3Ledvr5jKT37/Iu+aPibv7dklSa2z4CNJkqQ2W711Nx/48RMs21TP608exreuOpOK3i2v/9LYmBtNnu+uVjp6r5k4lHufXU9F71LOm/DqdXWmDO9P79ISImDSERad3ttwkC/ftZjb56/m9DHV/OT6mS/f4azQrp5Zy9UzvWunJB0tCz6SJElqs5fqdrNsU27h4d8s2siW3Q2M7J1/VMjCNdv5q18upFdp8MUrpjJ5eP+uTLWoTR1VzR0fPZeIoLRZMe01k4Zy943nU1ISTMhzS/lDlm3YyT/8ejHLsoWkF6zezrY9+4+bgo8kqWMs+EiSJKnNThrRn8umDuc3i9bzsYsmUNO/osW29z+3kfkvbX35sQWfztWrlVvRt+V28o+t2MLsJZu4bGoNk2r6cdnJwxk7uH3r5KSUeHRZHbsbDvCayUMp79X63dAkSV3Hgo8kSZLabGBVb/7lqmls293A0H4Vh40uaWrqyP6UlQYlEZwysroLs1RbnDa6mmH9evO75zbxnWvO4NKp7b/V+YPPb+IDt8wlJfjKO07lKqdgSdJxw4KPJEmS2qWirLRNi/tefFINd994AaURTBjWuYv69jR79x/khw+t4Ln1O7hu1gmcNS7/Ld3b47TRA/jVxy+g4WDjUS+KvH3Pfg7d9Hfr7oYO5yRJ6jwWfCRJknTMHGnRYLXNgtXb+PpvlgBQVlrS4YLPM2u2sXbbXs6dMJiaipan5R3JJSfV8IU3n0R9wwHeceboDuUkSepcFnwkSZKk49yI6j6MGdiHVVv3cPKIjq2FtHDtdt79/d+zd38jH794Ap9+/ZSjPlZVeS8+dMH4DuUjSTo2LPhIkiRJx7kxgyq57YZz2LhzH6eM6th6SBt37GPv/kYAVm7efdj2AwcbWVm3myF9e3vHLknqxiz4SJIkSd3AqIGVjBp4dGvtNHXisCr+6i0nsWjNTq45+/BFlv/toRf46r1LmHnCQL577XSG9Cvv8GtKkrqeBR9JkiSph7hj/mo+c8cCzhgzgH+9+gxGDDh88e075q8B4IkXt7Jic70FH0nqpkoKnYAkSZKkrnHvs+s42JiYt3Iri9btyNvmw68ZR2XvUt46bSSTh3t3NUnqrhzhI0mSJPUQbzhlBPcv2cS0MQNaXPz5yrNquWzqcPqW96JXqf8/LEndlQUfSZIkqUAaGxPPrNnOgMoyxg6uOuav987poznvxMH0rehF3/KyFtsNaMdizQcONvLDh17gl0+t5UMXjONd08d0RqqSpA6yZC9JkiQVyB1/WM0V33mEt3/3UZaszz/FqrMNr+7TarGnvVZsrucr9y5h8fqd/O2di9ixZ3+nHbu5Z9ds57eL1lO/78Axew1JKhYWfCRJkqQCeS4r8mypb2Bl3eG3SO8OhvYtZ/rYgQBcfNIwKnuXHpPXeW79Dt7zg9/zRz+Zz82PrDgmryFJxcQpXZIkSVKBvP2M0WzatY9R1X2YNX5wodM5KgOqevPda8/kxc31TBne75it+7N19352NxwEYOPOvcfkNSSpmERKqdA5SNJhZsyYkebNm1foNCRJ0nFi/8FG/nPuKlbW1fOuGaOZXJN/0elCiIj5KaUZhc5DkppyhI8kSZKkTvXkS1v55VNrmFjTjytnjOmUUT9lpSW895yxnZCdJPUMFnwkSZIkdZqUEl++ezHzV24FYOygSs6fOLTAWUlSz+OizZIkSVIrDjYmfvTwCt79vUe5Y/7qQqdz3IsIqity/69cEtDnGC3iLElqnSN8JEmSpFYsWb+TL921CIAnV23jgolDGNa/osBZHd/+8vKTOWf8BsYP68v0sYMKnY4k9UgWfCRJkqRWDK7qzZiBfVi1dQ+njupPVYW/Qh/J+KF9ueHCvoVOQ5J6NP+1kiRJklpRU13BzR84i8XrdzJtzACqevsrtCTp+Oe/VpIkSdIRnFjTjxNr+hU6DUmS2sxFmyVJkiRJkoqMBR9JkiRJkqQiY8FHkiRJkiSpyFjwkSRJkiRJKjIWfCRJkiRJkoqMBR9JkiRJkqQiY8FHkiRJ6gFW1tVzw0/m8e7vPcrTq7cVOh1J0jFmwUeSJEnqQjv37mfjjr1d/roPPL+J3yzawNyVW7nnmXVd/vqSpK5lwUeSJEnqIqu21HP1TY9xwT/+jt8sXN+lrz2pph/lvUqIgJNHVHfpa0uSul6vQicgSZIkFYP9Bxv51dNr2byrgbeePoLh1X0Oa/Pc+p08u3YHAI8s38zrpw7vsvzOGT+Yuz5xPvsONHLKKAs+klTsLPhIkiRJnWDOcxv5k9ufBmDb7gY+84Yph7U5bXQ1l5w0jCXrd3LpSTVdnSITa/p1+WtKkgrDgo8kSZJ0lB57oY6Fa7dz0aRhbWpf078PN71vBvsPNlJRVnqMs5Mk9WQWfCRJkqSjsHrrbj5061zq9x3k0Sl1fP990/mn95xG3c79vHXaiBb3Ky0JSkss9kiSji0LPpIkSVJHBZSVlvDOM8cUOhNJkgALPpIkSdJRGT2wkps/cBbPrtnOhZPbNqWrNSklIqITMpMkyYKPJEmSdNRmjhvMzHGDO3SMuvp9fPWe53h27Q4+/6aTOP/EIZ2UnSSpJyspdAKSJElSTzb3hS3cPm81i9bu4OfzVxU6HUlSkbDgI0mSJBXQuKFVDKnqDcC00QMKm4wkqWg4pUuSJEkqoMnD+/OLj51HXf0+Th1VXeh0JElFwoKPJElSD7a74QDlvUopLXGx4EKqHVxJ7eDKQqchSSoiTumSJEnqoX67aD0Xfm0On/iPP1BXv6/Q6UiSpE5kwUeSJKmH+s2iDWzauY9fP7uexet2FDodtSClxIrNu9i2u6HQqUiSuhELPpIkST3UBROHUlYanD1uEBOH9St0OmrBbXNX8dqvP8D1Nz/Bhh17Cp2OJKmbcA0fSZKkHuotp4/k7HGDqCrvRVW5vxYerx5dvhmAJ1dtZ+Xm3dT071PgjCRJ3YH/skuSJPVgw/pXFDoFHcE7zxzNc+t2MmvCYE4a1b/Q6UiSugkLPpIkSdJx7KLJw7hw0lAivJOaJKntXMNHkiRJOs5Z7JEktZcFH0mSJEmd6u4Fa/n2/UtZWVdf6FQkqcdySpckSZKkTvPkS1v5+M+eJCXYuHMfX7zilEKnJEk9kiN8JEmSJHWairJSykpyXzMqe5cWOBtJ6rkc4SNJkiSp05w0oj8/+dBMVm2p5+IpNYVOR5J6LAs+kiRJkjrVOeMHc874wYVOQ5J6NKd0SZIkSZIkFRkLPpKOWkQMioj7ImJp9nNgnjZjIuJ3EbE4IhZGxCcLkaskSZIk9SQWfCR1xOeA2SmlicDs7HlzB4A/TSmdBJwD/HFEnNyFOUqSpGOs4UAjKzfXs6fhYKFTkSRlLPhI6ogrgFuzx7cCb2veIKW0LqX0h+zxTmAxMKqrEpQkScfeN+5bwoVfn8MXfvkse/db9JGk44EFH0kdUZNSWge5wg4wrLXGEXECcAbweAvbb4iIeRExb9OmTZ2dqyRJOgZ2Nxzg9nmrAfj5/NVsqW8ocEaSJLDgI+kIIuK3EfFsnj9XtPM4fYE7gE+llHbka5NSuimlNCOlNGPo0KGdkb4kSTrGKnv34k8vncTI6gr+7LLJ1PSvKHRKkiS8LbukI0gpva6lbRGxISJGpJTWRcQIYGML7crIFXv+PaX0i2OUqiRJKpBrzxnLlWeNoVep/58sSccLP5EldcSdwHXZ4+uAXzZvEBEB/AhYnFL6RhfmJkmSupDFHkk6vvipLKkjvgJcGhFLgUuz50TEyIj4ddbmPOB9wMUR8VT2502FSVeSJEmSegandEk6aimlOuCSPPG1wJuyxw8D0cWpSZIkSVKP5ggfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkSZKKjAUfSZIkSZKkImPBR5IkSZIkqchY8JEkSZIkSSoyFnwkSZIkAbB++x5ueWQF9y3aUOhUJEkd1KvQCUiSJEk6Ptz66Eq+98ByIuDnH5nF9LGDCp2SJOkoOcJHkiRJ0qsEEESh05AkdYAjfCRJkiQB8IHzTmBEdQWjBvbhzLEDC52OJKkDLPhIkiRJAqCmfwXvP/eEQqchSeoETumSJEmSJEkqMhZ8JEmSJEmSiowFH0mSJEmSpCJjwUeSJEmSJKnIWPCRJEmSJEkqMhZ8JEmSJEmSiowFH0mSJEmSpCJjwUeSJEmSJKnIWPCRJEmSJEkqMhZ8JEmSJEmSiowFH0mSJEmSpCJjwUeSJEmSJKnIWPCRJEmSJEkqMhZ8JEmSJEmSiowFH0lHLSIGRcR9EbE0+zmwlbalEfFkRNzVlTlKkiRJUk9kwUdSR3wOmJ1SmgjMzp635JPA4i7JSpIkSZJ6OAs+kjriCuDW7PGtwNvyNYqI0cCbgR92TVqSJEmS1LNZ8JHUETUppXUA2c9hLbT7Z+AzQGNrB4uIGyJiXkTM27RpU6cmKkmSJEk9Sa9CJyDp+BYRvwWG59n0F23c/3JgY0ppfkRc1FrblNJNwE0AM2bMSO3LVJIkSZJ0iAUfSa1KKb2upW0RsSEiRqSU1kXECGBjnmbnAW+NiDcBFUD/iPhpSum9xyhlSZIkSerxnNIlqSPuBK7LHl8H/LJ5g5TSn6eURqeUTgCuAu632CNJkiRJx5YFH0kd8RXg0ohYClyaPSciRkbErwuamSRJkiT1YE7pknTUUkp1wCV54muBN+WJzwHmHPPEJEmSJKmHc4SPJEmSJElSkbHgI0mSJEmSVGQs+EiSJEmSJBUZCz6SJEmSJElFxoKPJEmSJEl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" + ], + "text/plain": [ + " degree hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 148.0 0.275862 0.379310 0.413793 \n", + "1 4.0 0.161905 0.273016 0.298413 \n", + "2 2.0 0.118943 0.171806 0.207048 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate count \\\n", + "0 0.517241 0.342010 29 \n", + "1 0.358730 0.235106 315 \n", + "2 0.268722 0.169113 227 \n", + "\n", + " hits_at_1_bioblp hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.000000 0.034483 0.034483 0.103448 \n", + "1 0.069841 0.098413 0.117460 0.139683 \n", + "2 0.070485 0.096916 0.105727 0.118943 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.023348 4 0.275862 0.344828 \n", + "1 0.094960 264 0.092063 0.174603 \n", + "2 0.089802 192 0.048458 0.074890 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.379310 0.413793 0.318662 \n", + "1 0.180952 0.219048 0.140145 \n", + "2 0.101322 0.149780 0.079311 " + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "BIOBLP_MODEL_ID = BIOBLP_D\n", + "ROTATE_MODEL_ID = ROTATE\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][BIOBLP_MODEL_ID],\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint='tail',\n", + " test_triples=test_triples_ent_w_attr_df,\n", + " #test_triples=test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "markdown", + "id": "60dc999e", + "metadata": {}, + "source": [ + "### loading older BioBLP-D (pretrained) model" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "afea7cb2", + "metadata": {}, + "outputs": [], + "source": [ + "eval_out_file_bioblpd_old = './metrics/bioblpd-38uz9fjs/node-degree-eval.json'\n", + "eval_out_file_bioblpd_old = './metrics/node_degree_eval_lp/spotlight_ent_as_src/node-degree-eval-bioblpd-38uz9fjs-spotlight-disease-as-src.json'\n", + "with open(eval_out_file_bioblpd_old, 'r') as f:\n", + " results_by_node_degree_dicts_bioblpd_old = json.load(f)\n", + " \n", + "eval_out_file_rotate_disease_as_src = './metrics/node_degree_eval_lp/spotlight_ent_as_src/node-degree-eval-rotate-otxtubeb-spotlight-disease-as-src.json'\n", + "with open(eval_out_file_rotate_disease_as_src, 'r') as f:\n", + " results_by_node_degree_dicts_rotate_disease_src = json.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "b2e25868", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatearithmetic_mean_rankadjusted_arithmetic_mean_rankinverse_harmonic_mean_rank_bioblphits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
0148.0260.1153850.2692310.3461540.4615380.227222546.2619020.0103060.0762150.0476190.0476190.0714290.14285740.0677660.2216120.2747250.3186810.151008
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 148.0 26 0.115385 0.269231 0.346154 \n", + "1 4.0 291 0.020619 0.027491 0.037801 \n", + "2 2.0 207 0.000000 0.000000 0.000000 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate arithmetic_mean_rank \\\n", + "0 0.461538 0.227222 546.261902 \n", + "1 0.037801 0.028698 601.184204 \n", + "2 0.004831 0.002660 751.289856 \n", + "\n", + " adjusted_arithmetic_mean_rank inverse_harmonic_mean_rank_bioblp \\\n", + "0 0.010306 0.076215 \n", + "1 0.011342 0.089921 \n", + "2 0.014175 0.040792 \n", + "\n", + " hits_at_1_bioblp hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.047619 0.047619 0.071429 0.142857 \n", + "1 0.052632 0.098684 0.105263 0.164474 \n", + "2 0.007246 0.050725 0.072464 0.108696 \n", + "\n", + " num_unique_ents hits_at_1 hits_at_3 hits_at_5 hits_at_10 \\\n", + "0 4 0.067766 0.221612 0.274725 0.318681 \n", + "1 254 -0.032013 -0.071193 -0.067462 -0.126673 \n", + "2 189 -0.007246 -0.050725 -0.072464 -0.103865 \n", + "\n", + " inverse_harmonic_mean_rank \n", + "0 0.151008 \n", + "1 -0.061223 \n", + "2 -0.038132 " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Bt5lZcph1Ba9mV7eAeePxE30B8gLGx+GdT9YT3fEdbt46o/GaK+7FOTc2YHu8H2KSZV6xFngj+Xe8Zh7D/c/jFzTcf8KdqzYAA/xjdK/YW9GTeOfok4HFfhIIoju/BZ8rX3POzcBLCn2N1+SprqzvBpWV6pz7qAVx3+Ivf7y/Xc9n7+Oy1c6VePt4NQ0TL9EowOtwt600ts83tv81V/C2jebziGQ7XhOmf5nZN6Kcp4d/PqwzkIbHcp1ozqGBx1a4chqbdkOIcUD90/Pqzh1jCS0B7zqjLokyAbjPObfLT1Ldi1eLFBo5T5r3ZNXn8JrPfh64EOfcPc654c65PnjnmwTgywjrGzjvX51zk/Gaco4AfhowOuy5U0Q6DyV8RDqvl/HayNdJx7sh32FmPfFu5ur5NT+ewXtUZ0+8qsg452rw+kK4ya+JMAqvX4JW5V/gbAH+AbzmnNvhj5oNFJvXmWeqX4NjPzObGq4sMzvfzLL92gB15dTg/dJ2opkd45eTYl5Hio12NBlBOl5fEFvxLuZubkFZoTwNHG9mR5pZIl5yoAJo6o3XbLyL21vNLM1f92gv0hvlb+sHgNvNrA94SQMzO8afJOL+14pa4/NYj1eN/odmdlUz5n8CuNjMJvqJkpuBT51zq/3xm/D67QiMOdK2CZ7+JWCEmV1gZon+31QL6Mw7yMv+9Oea18nvWXh9cb0Uqnw/YfEQXrOKS/H2m8DHJQfHsxSvY+Xj/X30l3j9bgSabGan+gnHH+F9Rp8Q3fEdbl787TsZ/3zVVH5NpjfZ+1xZDJT657vvBc0T7lz1Md555vv+dj4Zr6+o1jYTr+nJ99iTmIcmnt/M6yj+JP9mugIo9eMH70b1BvM7PDezTDM7o4Vxp/vL2OEn2H7ayPRN9SRwrZkNNrPueMfdU82o1fg4XsfTZ/qfYy//h5DW0tg+H3H/a0Ut/jycc7Pwahc+Z2YHRDnbb80sybwadyfg1YoJ1tg5FOCn5nV4n4fXb9ZTEZYZbtqn8c7zueY9KOH6SIH756GR5nUQno3XpO1zv7YPeH0fXuZ/rql4NaDqEiphz5P+ue1ZvP65ngpaZoq/f5iZDQTuB+50zm2PFKs/71QzO8Bf3i68PrBqAib5Jl7zTRHpxJTwEem8HsF7ikWq//4OvPbfRXg3S6+GmOcJvJoR/w66SP4+Xm2JjXiPL34S7wahtT3pL7/+JsZPOJ2I16/JKrz4/+HHE86xwCLzmrTciddPQ7lzrgDvV/Ff4N2wFeBd5LbkXPgIXjXrdXiPbP2kBWXtxTm3BO+X17vw1v1E4ETnPa2jKeXUbcdheH2QFOI152hNP8frNPUT85oIvIlXcwWi2/9aQ6t8Hs65tXhJn5+b2WVNnPctvL6XnsVLlgwFzg6Y5CbgYfOac5xJ49vmTrwaJdvN7K/OuRK8G/6z8ZJTG/FqsgUnWeri2Yp3Y/UTvETYz4ATnHNFocoHfojXvORXfvOki/FuvuqaRN0C/NKP/zq/OcdVeMflOrwbi+DmBi/g7W/b8foUOtU5VxXl8R1yXn/cScAs1/DJOU11n19unevwaoqV4CUxQ91IhjpXVeJ1gnopXqL5fLykWqueK533OOWPgYMDY2vG+S0Ob59Yj9dk65t4nyPOuefw9qmZ/rH8Jd6TH1vit3id8O4E/of3Q0Jr+ife99N7ePtSOV5fOk3iH/vH4W2bbXgdSU9orSCj2Oej2f9aQ6t8Hs65N/DOEf81s8mNTL4R7zhej5dYu9I593WIMhs7h4J3XpiH9/n8Dy9BHU64aR/A6+dqAV7H041tgwF45+cSvP7NaoFTAsZfglertBDvXDgEr08dGjlP5uL1afYjC2iS6yd4UvDOM6V4ycKP8bZNNDL8ddyO9724FfgzgJn1x0v8Px9lWSKyj6p7yoSIdEJmdjOw2Tl3RyuX+wegn3PuwtYsV0SkKczsU7zOhaNq3hChnA+AHwQ3pWgpP757nXP/as1yRSQ6Zubwmsctb3TiTsDMLsHrbPuIRqa7DVjhnPtb+0QmIrGihI+INMqvVp6E94vWVLwmIpc5556PZVwiIh2JmX0TWIJXa+M8vKZRQ/xaOSLSzrpgwuc2IMs5d2msYxGRjkFNukQkGul4VZ134bV5vw3vyRSHBlU/Dn460D4j3HpY6Cf7dBpmdm+Y9b431rEBmNl5YeLb66kpbRhDp9nPpc2NxGseshOvSdDpzrkNZvaLMPvQPtV/Rlc+FqzhE98C/86LdWzQMc7lnWU/31eZ2fN4Tdpvi3EoItKBqIaPiIiIiIiIiEgnoxo+IiIiIiIiIiKdTJskfMzsFTO7MOD978ysyMw2+u9PMbMCv5rn/m0RQ1szM2dmw9p4GQ+Z2e9asbw2jznKOKabWfATXMJNe5OZPdaMZSwys+lNnc+ft9TMhjQ+ZcdmZrOa+nShjsBvMrAk1nHsS1r72G7KMdrRBJ43W7Iv+c0jon0SSrOY2RlmtsrMGn28bguW0ebrIfuGllxTBM9rZgvMbIOZXdt6EUYdy1gz+9zMis3soDZeVr5/fk1oy+W0tX3tesDMXjSzLWb2p3Ze7kXmdeDe4ZlZPzP7wLynJbb2EzfrlqHrMQFadl0YPK+Z/cy8p4K+ZmbdWi/KRuNotfP5vnad3OSEj7+hdvk3xVvN7K3gE41z7lvOuYf96fPw2rGPcc718yf5M/B951z31n4iRkdiZveb2RUxWvY+9eXe2pxzY51zs5o5b3fn3MpWDkmi5Jx73zk3svEpRSKLdl8KdZHvnLvSOff/2i46AK4H7nTO9WiNwhpbj9a6QNmXboqaI9RFYWdf56Zyzk0ALgd+E4PFXwKsxOuY9uMYLL9Las8fDZ1zJwKHA9eZWVZ7LLM1mdnX5j0tK3j4NWY2t5UWcwaQCPRxzj3VGgUGf8bB36FmttrMjmrt5XQ2oe7BOvs6N4Vz7o9ALjAKODrG4XQJza3hM8E51x2vc8KHgLvNLNyX/iBgq3Nuc9CwZnW4uY/9ynIs3tOMRCLq6Pu1mcXHOobOqqN/9rHUBbZNT6BFjxOXjqMLnie/BDJjsN49ga+cc7XtvFxpR865unNjr5gG0jwPA98JMfwCf1xr6Aksc85VtlJ5EkNd4HqnAefcLmAV++bx3Wbaaj9oUZMu51yRc+5R4HvADWbWC/ZkNv0s8BtAjl8j6EnznuQQDywwsxX+9Dlm9qxffXOVmf2wbhnmNel5xsweM7Ni4CIzyzSzB/3qxOvMazIW709/kV/F8c9+dbFVZvatgPJ6mtm/zGy9P/75gHEnmNl8v3rkR2Y2vpFNcJyZrTSvudqfzKx+e/rz7nDOFZrZGjOb7A8/38/yjvHfXxYYQwi9zewNMysxs3fNbFDAMg42szlmttP/f7A//PfAoXiJuFIzuzugvKPMbJm/7veYmYVaqL/d/+1v9xIzW2hmI8zsBjPbbF6TvKMDps8xs/+a2TYzW25mlweMSzWvOvh2M1uM91hvguYN+fkHTZfix7PV/4zmmFnfMNPW/wrhr8vTZvaIvy6LzGxKuA0emIX3477HzP7nz/upmQ31x91rZn8OmvcFM/txY+sVZr+eZmZzzaumvsnM/hIw/YH+PrnDvKr008PFH2SQmX3ox/66mfUOKPPfZrbR33/eM7OxAeMeMrO/m9nLZrYLONzfpj81sy/Mq+X3oJn1Na8JZ4mZvWlmPQLKOMnf1jvMOyeMDvp8rvPL2mlmT5lZij8uuOpnnpn9x9+OW4P251Cf30X+Ot/uL3ulecfKRf5+u9kaNjlNNu98sdbf7veaWao/roeZveQve7v/Ojdg3llm9v/CbeMw8dXVHrjUzNYCb0f5eYTcD0OUf4i/noeHGPewmf3Efz3Aj+Mq//0w845fC5j+J/722mBmF0e5zaabWWGEeR/ypw93XnNmdrWZLQOW+cPCnpvNbH8z+8wv6ykgJWBco/uSv1/eCxxk3vlyR0CcvwssJ8I69TKvCUKxeeel31l0tUESgL1uWs3sEjP7yvZUeQ7ePlda0Hm8sfUwszTgFfZ8H5ead47abf53tz/9ZH/7JIYKONRyzGyqvx8E1og5zczm+6/rzndP+Z/TZ2Y2IWDaqL4DAqZPMbMy8481M/ulmVWbWYb//ndmdkcjZRxve5oFFZjZTQGj3/P/7/DX8aAI27bBeTLC8lpyzKSa2W3mXUvsNO8ap27eSOfZsMeGP75Zx1WAun034gVqpG1tTfheDxDuuAn5PWlmZ1tQrQozu9bM/ttYfNGyyNdATboGCZgv7PekP/5yf1nb/GXnBIybYV4tk53mfWdaUNlhzzFhYqk7Jhb4x8BZZvalmZ0YME2iedfDE23P99wV5l1vbzD/u8efNs7MrjezFf5n/7SZ9QyxaEfj+1fE7Wtmo/1jY4c/7qSAcb38bVdsZrOBoUFljzLvu2qbmS0xszMjxRLgUeAQa3juHg2MB570319k3vVJiXnnvaY+7S3ccRA2Zot8TRvqM67/DjWzR4GBwIv++J/55fwgaPlfmNm3wwUdw30pMIaHrQnXQiHm72Fhrg0txD1YpG1rZj83r8uTfzUSc6TzdWPnipP9eYv97XSsP7xN7t0amzdALY0f3419P2aad+xvMe878pfm34+bWbx537tFZrYSOD6o7LD5hBBxtHR7POzP+5V/7ARem67294MvgF1mlmAR7vuaEnc951yT/vBOvsOChiUC1cC3/PezgMv819OBwnBl4CWd5gG/BpKAIXhVdY/xx98EVAHf9qdNBZ4H7gPSgD7AbOC7/vQX+dNfjpdY+h6wHuqfSPY/4Cmghx/3N/3hk4DNwAH+fBcCq4HkCNvhHbwM+0Bgad06++OvB27xXz8C/MR/fT+wAvhewLhrwyzjIaAEOAxIBu4EPvDH9QS24/1akACc47/vFfwZBMX8EpDlx7wFODbMsm8CyoFj/PIfwcvE3uhvt8uBVQHTvwv8De+icKJf9pH+uFuB9/2Y8/B+FSxswuf/mP/6u8CLQDf/M5oMZISJfzVwVNC6HOfPdwvwSTT7uP8ZbAOm+dvhcWCmP+4woIA9+1YPoAzIiXK9gvfrj4EL/PHdgQP91wOArX78ccAM/312I8fqLLx9bYRf/izg1oDxl+A9bj0ZuAOYH7Tv7QS+4S8zxd+mnwB9/Zg2A58B+/tlvA38xp9/BN4j3Gfg7S8/A5YDSQGfz2x/W/UEvgKuDD5n+J/XAuB2vOM9BTikkfW+CO98dLE//++AtcA9fpxH4x1X3f3p7wD+68eRjreP1R27vYDT8Pa5dODfwPPRbuMw8eXj7WOP+OuUGuXnEXI/DNxn8Y7XAmBamGVfArzovz7Xj/2pgHEvBHwG1cD/+Z/fccBuoEcU26yxeR8izHktYF3e8MtOJcK5Ge/YWgNc6y/rdLzj6ndN2Zfw9pkPgrbVQ0HlRFqnmf5fN2CM/xl8EG4f8OcZ58ca/H36bbxjZbT/Wf8S+Cia83iU6xH8ffwy/veR//524K4ojrHg5SzGvwbw3z/Hnu+9m/x1Pd3fftfhfZ8k0si5MkIM7wGn+a9fx9uXvxUw7pRG5p/ufwZxeDdhm4BvBx2jCY2s80MEnScjLO8Omn/M3IN3bhmAtx8fjLf/hz3P0vix0ezjKmCdUvG+W09owbaO+nvdn77u+yL4+ibs96RfdgkwPGD6OcDZzdkXwsQV6RroJppwDRJQ5mrCf08eART5n2MycBfwnj+uN1DMnuPtWrz9q+66/NtEOMdEiKfB9b+/vz0V8P5kYGHQdnsS73w7zt8mdddlP8K7nsj1478PeDLEMtcAV+NfZ4WJK+z29dd/OfALvP36CH9fGOmPnwk87ce4H7COPdfZaXjn8ov97TTJ3+ZjG9tW/vxvAL8MeH8L/vWDX3ZxQBz9oy3Xn74b3jVX8DEZMWaivJYIOnYLA96vrvsM/fdnAp8GvJ+Ad9wldbR9KWj5UV0LRZg/mmvDUPdgwdu2GviDH3dqhOVFvEcl8rliGt731Ay8c9wAYFQU562W3LuFnTdovR4Gnoi0v9D49+MjwAv+55CPdz9+qT/uSuBrP4aeePft9edzIuQTQsTR0u3xLt59Yi7wBXsfV/P9clNp5L6vKXHXLyPak0u4HTZg+EbgvOAdncYTPgcAa4PG3wD8y399E/6XmP++L1BBwIGBl+x4x399EbA86KTogH54J9Taup0kaJl/B/5f0LAl+AmhMNvh2ID3VwFvBbx/HzjUf30p8F//9VfAZexJGqwBJoVZxkM0PBF3B2r8HeICYHbQ9B8DFzVysjkk4P3TwPVhln0T8EbA+xOBUiDef5/ul5flx1MDpAdMfwvwkP96ZdC2uoI9B0k0n39dwucS4CNgfBT76WoaJnzeDBg3BiiLZh/3P4N/BIw7Dvjaf214iYTD/PeXA283Z7/2h70H/BboHTT858CjQcNeAy5sZBvMouHFxlXAq2GmzfLXOzNgvR8JsU3PC3j/LPD3gPc/YM/FzK+ApwPGxeFdSE0PKOv8gPF/BO71X08P2D8OwvsCinixHRTnRXjVnOvej/PXrW/AsK14X26Gd8M0NGDcQQQkM4PKnghsb842Dpgm349nSIRpQn0eIffDgH32BrzzybgI5Q4Fdvifx714N1t12/ph4McBn0EZDW94NwMHNrbNIs0bsC4hz2sB63JEwPiw52a8pFF9Qt8f9xGhEz5h9yWiS5SE2x7xeDfDIwPG/S64vKCyn/HX87YQ417Bv1gJOHZ2A4MCtk/I83iU6xH8fXwW8KH/Oh7vuzxkwrCR7fVz4HH/dU8/5v7++5sIuMH112kD3q+gEc+VEWL4f8Bf8W5aNgLX4F1UpfifVe9I84co7w7g9qBjNJqEzyNRlN3sY8bfVmV4TemDyw17nqXxY6PZx1XQPD/Au66a38xt3ZTv9R/4n8snQGKI/S/s9yTwGPBr//VwvJv+bs3ZF0JM39g10E004RokYLrVhP+efBD4Y8C47njnoXy8pkSBx5sBhey5Lo94jokQT/21kf8+x9+OGf77Z4CfBW23UUHxP+i//gr/xtJ/39+PPyFomacAlXg15sPFFXb74p1jNgJxAeOf9OepO3cHxngzexI+ZwHvBy3rPvwftqL4/M4HlgRs47X4iWi8G7UdeEmDsDf6Yco9yd/flhN0P9NYzER3LdGUhE8yXgJpuP/+z8DfoliHdt+XgpYf1bVQEz6Tiex9bRhNwqeSCD8UBEwb8R6VyOeK+/DPZ0Hzt+W9W9h5Q3wOG/3Pa0qYdZ9O5OuvCrx+guvGfReY5b9+Gz/x5b8/mj21BiPmE0LE0dLtcUzAuMvY+7i6JOB92O+zpsZd99eiJl11zKv6nY130DfVILwq5jvq/vAy8YFVeguCpk8ENgRMfx9ehqvOxroXzrnd/svueDv3Nufc9jBx/CQojjy8k1A4gXGtqZvWvA7mRuFdxICX1TvUzPrh7ZxPAd8ws3wgEy+r1+gynHOleNs4x/9bEzTtGrysYCQbA17vxtsu4WwKeF0GFDnnagLe48+fg7ddS8LEksPe26pONJ9/nUfxdviZ5lXr/KOFaXYQQvB6p1j07SRDbjPnHWUz8Q408H4leNx/3dT9GrzE4Ajga/OqtZ8QUNYZQWUdgvel1qzY/WqOt/pVO4vxTjbg/TIYLj7Ye58Ifl+3PzXYP53X10IBDffPaPbFPGCNc646xLhIguPCORcq1rpff+cFbNtX/eGYWTczu8+vJlqMl5TLCqo62ZRjKlD99o3y82hsOT/Cu/lbGG6BzrkVeInbiXgXwi8B681sJN6N3rsBk28N2u51y4y4zRqZt06489pe44l8bs4B1vnHYp3g82Kd5u5LdSJtj4SgmEMdO/Wcc6fj1Qr5gf+9EGgQcGfAum7Du2Fr6rETrReAMeY9mXAGsNM5N7sZ5TwGnGhm3fF+9X3fObchYHzgZ16LdwOaQ9O+AwK9i3chOAlYiPdr+jfxLgKXO+eKIs1sZgeY2Tt+9eudeL8ERmyOGUbEz9rXkmOmN14Sa0WIciOdZxs7Nlp8XPnfob/F+wEq7BNXG9nWUX+vO+fuwvve64dXAyBQY9+TT9Dwu/r5uuvDVtgXGrsGguZfg4Q71oM/+1K8HzLqPvvA482x9zm1sXNMo5xz64EPgdP8695vsecaqE7I62Q/hucCYvgK7+Yz+Lj/LV5yJmITHcJv3xygwDXs76nuswl17g4+Rg4I2qfOw9v/ovEfoL+ZHYh3ruqG18oA5/VfchbevrbBvKZRo6Ip1DlXV1NwK951Y6BoYm617w/nXAXejw7nm9eM5hy8Y7qp5bTHvhS4vKZcC+0lymvDaGxxzpVHMV0096jhPtc8wn9/tNW9W6R5A12DV9sywzkXqTPzSN+PdTVSm7MOjeUTArXm9gh13RB8jg73fdbUuIFG2s01wcl41a2ac5FYgPcr1/AI0wRedBTgZbZ6N+PCvQDoaWZZzrkdIcb93jn3+yaUl8eezqcH4v0iBl6zirfqkiPOueVmthv4IV6tjhLz2mtegfdLQqSOB/PqXvgX0j395azH+9ADDcS7iISG26ytrcfbrukBJ46BeL80gvdLbvC2qhPN5w+Ac64K78v/t36y7GW8DPeDLV6D5nsSeN3MbsXL8J7iD2/qfo1zbhlwjv+leSrwjHl9axTgZXovD1FGc52Ld9wehZdcyMRrEhjYZrkl+9B6vJo1AJiZ4e0D68LOEVoBMNDMElpwox5JEV7yZ6xzLlRsP8HrnP4A59xGM5sIfE5QfwjNFLh9o/k8GnMG8KCZrXPO3RFhunfxqvonOefWmdm7eL8I9yBy8rlOY9ssGuHOa3WCz/khz81m9k1ggJlZwM3pQEJf3ETal1qyr2/B+/7LxatKDAHrF45z7iMz24qX5A28UKtb3+CL3Wg0th57jXfOlZvZ03g3BaOI7mI9VDnrzOxjvHPgBXi/SAYK/Mzj8LbXerxtF9V3QJCP8I7NU4B3nXOLzWwgXhv9iBfrvieAu/GagZWb1+dP3U1+qO0YbttGs++05JgpwmuuMhSvSWKgSOdZR+RjozWOq754543ng5JDwcJu66Z+r/vn4Y/xanEEaux78nW8PhEn4t2UXhtNfFFq7BqoLTS4BjSvj65e/jLrrrnqxhkNz0ktOccEexjv1+oE4OMQ+3ceXpMKaHidXID3i/aHjZQ/Gq95TXM76F4P5JlZXEAZdd0w1J27g2OsU4B3bpnRnAU753ab2TN436+peDVbKwPGvwa8Zl5/XL8DHsBLPkRT9k4ze5vQx0GzY45m0SGGPYz3vfEBsNs1/8l5bb0vBWvJtVBj14bRXlNEO11z7lED5x0aYnhb3rtFmjfQaLzvj7Iw4xtThFc7aBBes/K6ZQWvAwHj6jQ1n9DS7ZEbEGOoa8Tg696Q32dm1r+JcQMt7LTZvA6Qz8NrX/4H59zWZhQzGyg2r7OiVPN+6d7PzEJ28OT/Yvg6cJuZZZjXWddQ/wIlIn/eV4C/mdfhVqKZHeaPfgC40v+lx8wszbyO/NIjFPlTv5w8vCxl3WMRj2fvp3O9C3yfPReis4Leh3OceZ2wJuFVYf/UOVfglz/CzM41r3Ons/BO/C/5823Ca0PY5vx4PgJuMa8DxvF4vzrUXUw8jdepdw/zOjUL7OAt6s/fzA43s3F+Br0Y7yCvCZ6uPTnnPse7aPgH8FpAIrFJ+zWAeR16Z/sXJXXl1LDnl/Nj/HJSzGy6BXQe3AzpeCeMrXi/Ot3cgrJCeRo43syONO/X2p/4y/so8mx7mY13orzVPyZTzOwbrRWkv60fAG43sz5Q34HfMf4k6Xg3ajvM6wTwN6217CCt8XmsB44Efmh+54Nh1J2L3vPfz8I7Jj8IqMEXVhTbLBrhzmuhRDo3f4x3wf5D/zx4Kl579VAi7UubgFw/nibxt9l/gJvM+9VvFKGfzhJKBd6vU4HuxTtfjoX6zvnOiLK8xtZjE9DLzDKDhj+C12TpJLzzTXOX8wheXwzj8PrwCTTZzE4171f3H+Gt+yc041wJ9bV35+H171H3PfoRXnXuaBI+6Xi/bpab2TS8pGudLXjNlAK/Q1uyjzT7mPHn/SfwF/M6hYw3s4PMLJnI59nGjo3WOK7qauJUNLIaYbd1M7/XQx03Eb8n/QvjZ4A/4SWY34gmvmhEcQ3UFp4ALjavU9tkvO+MT51zq/FqkYwNON5+SMMaHs09x4S6rnwer5bdNXjHf7Bf+efFsXj9ytRdJ98L/N78To3NLNvMgmttgXfz39j+FcmneM0pf2beNf90vC4KZoY4d4/BazJR5yW86+wL/HkTzeugfrQf80VmtrqR5T+MV5PnNAKezmXeAy9OMi9RV4FX26Sp17OhjoOIMUehsXuHvcb7CZ5a4Dair90Ti30pWEuuhRq7Ngy1fi25L2vOPWqdB/HOFUead888wMxGtfG9W6R5AyXSguPb/5yexvv80/194MfsuY55Gu97LNe8h8pcHzBvU/MJrbU9BuDtd5GE/T5rbh6kuQmfBeY9bWs5Xjb2Wufcr5tTkP9hnYhXrW4VXrbuH3i/cIfzHbyT3GK8X8GfIbrmLeD98liFlyXejHfhiV+V7HK8X3m2463bRY2U9QLeBed8vC/YB83M8KrFvxo07bt4J4j3wrwP5wm8E8k2vM4Mz/Pj3QqcgHeBtxXvIvsEt6ca+53A6eb1CP7XRpbRGs7Ba2e7Hu9C/zfOuboLqt/iVX1bhbeT1n8hNPHz74f3WRfjVdl8l+huTtrak3g1M56oG9DM/fpYYJF/bN2J16FkuX9SPhmveuAWvMzvT2lZwvYRvM9kHd5x9EkLytqLc24JXvv1u/DW/UTgRNfEx4cGbMdheO3fC/EunlrTz/GO90/Mq5r7Jt4vN+D15ZCKtw6fsPdx3Vpa5fNwzq3FS/r83MwuCzNZ8LnnA7wkU2PnokCRtlk0Qp7XQol0bvb3p1P999vx9o3/hCkn0r70Nt6vNhvNLGJToDC+j3dsb8Q7vz1JdBcxtQQdx8655/A6cZzpb9sv8aq3RyPiejjnvvZjW2leVeAcf/iHfiyf+TeMzV3Oc/jV653XZCHQC3jbezve9/CpzrmqZp4r67yLd8E4O+B9NN+r4PW39X9mVoLX0eLTdSP8ZNLvgQ/97XRghHWOVkuOmevwmq3NwTtm/oDXJ0nY82xjx0YrHVd1zRcaq30RdlvTvO/1UMdNNN+TT+B9V/876JfRSPFFK9I1UKtzzr2F14fTs3iJ7KHA2f64Irwan7fiXR8Ox2suUzdvc88xNwEP+8fEmX5ZZX4Mgwm9j7yLt2+9BfzZOfe6P/xOvE7MX/e3+yd4taTr2Z4n3za3dk/dvnwS3voV4XVQ+x3/XAjeubs73rn7IQKelOTXejgab7uu96ep62AXvF/pG6tV8h5eh7nrnHNzAobH4V2/r8c7pr+Jtx9iZof614GNCXUcNBZzY24i6DMOcgvwS3/8dQHDH8FL9Ed7Tb7XctpyXwqjJddCdxD52jDUPdhNRN62YTXzHrVu3tl4CbLb8fbFd9lTO7Ct7t3CzhsknhYc374f4CV1V+J9hk/g/UgCXqLsNbzasZ+x937VlHxCS7bH/+Fdc67C++5/hgjXiFF8nzU5D1L3dCFpJeb9OnS3cy7cr8wiIl2WmT2E11ndL2MdS1sxsz8A/ZxzFzYy3Ud4Pxbc3EiTmDZnXvOAJ5xz/2hhOSvwnhbxZsCwm/A6qzy/ZVFKR+LftNztnIvYd0AbLPdmvD6DTvKbhEkMmdmvgRGBx7d5zfNW4XWu3azm2P719MdAlmvYz0iHYGavA9c4576K0fKvwKvheHCIBHt7x/Id4Arn3CEtLKdN9iXpeMzrq2kxXufWwa1iOjUz+x7ej/qNtk5qLa3SabPspa2afYiISAdjZqPMbLxf1XoaXrXo4CZNofwf3i+xmxqbsC351Y4nsaeKfHPLOQ2vHfrbrRGXdFxmNg+vGdHPY7D4f+D9ur7er30lMWJec5ZLgftbudzn8X61/lVHTPYAOOeOjlWyx/cMft8hTa0x0prMrBte7aQW7QNttS9Jx+PXDvsar7bRWzEOp82ZWX8z+4bf/GokXu2+aK4RW40SPq3MOTfbOfdKrOOQrsHMSsP8RdXx377KzO4Ns973xjo2ADM7L0x8ixqfW/ZB6XhVhXfhNQe5Da8JU0TOuVedc+Pau4ZEIDN7GK+K8Y8Cb6yaeoyZ2Sy8jpqvds3vYDW4zFfCxPCLKOdfFGb+sE0IWxhvuy4vlpxzk51zw5xz/2p86lZf9krn3HTnXLZzrlWbI0fS2t+3ZjYwQpnhOjltM3VNiUL9hZn+cryEwyvOuaY0CW6Uc+7bzrmBzrnW7l+w03DObXPOneCc6+Oca04zxBYzrx+yLXg/WjwRMDzm+1JLr8PM7Bdh5m+Te7z2Xl4sOef+7Jzr55w7x3lPeuvskvCepFWC94PYC3jNS9uNmnSJiIiIiIiIiHQyquEjIiIiIiIiItLJKOEjIi1mZsea2RIzW25m14cYn2lmL5rZAr/Zw8WxiFNERERERKSrUJMuEWkRM4sHlgIz8B47OAc4xzm3OGCaXwCZzrmfm1k2sATvKUZhH9Peu3dvl5+f36axi4iIiLSGefPmFTnnsmMdh4hIoIRYByAi+7xpwHLn3EoAM5sJnIz3uMU6Dkg3MwO6A9uAiI/XzM/PZ+7cuW0TsYiIiEgrMrM1sY5BRCSYmnSJSEsNwHu6Qp1Cf1igu4HRwHpgIXBNaz3JR0RERERERPamhI+ItJSFGBbcVvQYYD6QA0wE7jazjL0KMrvCzOaa2dwtW7a0dpwiIiIiIiJdhhI+ItJShUBewPtcvJo8gS4G/uM8y4FVwKjggpxz9zvnpjjnpmRnqxm8iIiIiIhIc6kPHxFpqTnAcDMbDKwDzgbODZpmLXAk8L6Z9QVGAivbNUoREZFOoqqqisLCQsrLy2MdSpeTkpJCbm4uiYmJsQ5FRKRRSviISIs456rN7PvAa0A88E/n3CIzu9Iffy/w/4CHzGwhXhOwnzvnimIWtIiIyD6ssLCQ9PR08vPz8Z6HIO3BOcfWrVspLCxk8ODBsQ5HRKRRSviISIs5514GXg4adm/A6/XA0e0dl4iISGdUXl6uZE8MmBm9evVC/QyKyL5CffiIiIiIiOxjlOyJDW13EdmXKOEjIiIiIiIiItLJKOEjIiIiIiJt6rjjjmPHjh2xDiOkhx56iPXrgx8wKiKy71PCR0RERERE2tTLL79MVlZWrMMISQkfEemslPAREREREdnHrV69mtGjR3P55ZczduxYjj76aMrKypg+fTpz584FoKioiPz8fMBLcnz729/mxBNPZPDgwdx999385S9/Yf/99+fAAw9k27ZtYZcVqcxTTz2VY489luHDh/Ozn/2sfp78/HyKirwHdP7+979n5MiRHHXUUZxzzjn8+c9/jlhuTU0NP/3pT5k6dSrjx4/nvvvui7gt/vSnP9VP+5vf/Cbi9nnmmWeYO3cu5513HhMnTqSsrIzrr7+eMWPGMH78eK677romfAoiIh2LEj4iIiIiIp3AsmXLuPrqq1m0aBFZWVk8++yzEaf/8ssveeKJJ5g9ezY33ngj3bp14/PPP+eggw7ikUceaVYM8+fP56mnnmLhwoU89dRTFBQUNBg/b948Zs6cyeeff85//vMf5syZ02iZDz74IJmZmcyZM4c5c+bwwAMPsGrVqpDTvv766yxbtozZs2czf/585s2bx3vvvQeE3j6nn346U6ZM4fHHH2f+/PmUlZXx3HPPsWjRIr744gt++ctfNms7iIh0BHosu4iIiIhIJzB48GAmTpwIwOTJk1m9enXE6Q8//HDS09NJT08nMzOTE088EYBx48bxxRdfNCuGI488kszMTADGjBnDmjVryMvLqx///vvvc8opp9CtWzcATjrppEbLfP311/niiy945plnANi5cyfLli1j8ODBIad9/fXX2X///QEoLS1l2bJlDBw4MKrtk5GRQUpKCpdddhnHH388J5xwQpPWX0SkI1HCR0RERESkE0hOTq5/HR8fT1lZGQkJCdTW1gJQXl4edvq4uLj693FxcVRXV4ddTrRlxsfHhywn3KPNw5XrnOOuu+7imGOOCRtT4LQ33HAD3/3udxsMX716dcjtEyqG2bNn89ZbbzFz5kzuvvtu3n777UaXKyLSEalJl4iIiIhIJ5Wfn8+8efMA6mvIxLLMww47jOeee46ysjJKSkp48cUXGy33mGOO4e9//ztVVVUALF26lF27doUs/5hjjuGf//wnpaWlAKxbt47NmzdHjCk9PZ2SkhLAqxG0c+dOjjvuOO644w7mz5/fpPUTEelIVMNHRERERKSTuu666zjzzDN59NFHOeKII2Je5qRJkzjrrLOYOHEigwYN4tBDD2203Msuu4zVq1czadIknHNkZ2fz/PPPhyz/6KOP5quvvuKggw4CoHv37jz22GPEx8eHjemiiy7iyiuvJDU1lVdeeYWTTz6Z8vJynHPcfvvtTVo/EZGOxJxzsY5BRGQvU6ZMcXVP6hAREZE9vvrqK0aPHh3rMFrFTTfdRPfu3fepp2GF2v5mNs85NyVGIYmIhKQmXSIiIiIiIiIinYyadImIiIiIyF6uvvpqPvzwwwbDrrnmGi6++OJWW8ZNN93UrPkWLlzIBRdc0GBYcnIyn376aStEJSLSOSjhIyIiIiIie7nnnntiHUJY48aNU4fKIiKNUJMuEREREWlzzjkWFu5g3fbdsQ5FRESkS1DCR0RERETa3L/nFnDi3R9yxn0fs2Zr6Edqi4iISOtRwkdERERE2tzyLaUArN9Rzoad5TGORkREpPNTHz4iIiIi0ubOmJxHZXUtuT26MWlgj1iHIx1Qfn4+6enpxMfHk5CQwNy5c9m2bRtnnXUWq1evJj8/n6effpoePbT/iIhEQzV8RERERKTNDe+bzk0n7cdlhw4hKUGXoPs65xzz58/npZdeYv78+TjnWqXcd955h/nz5zN37lwAbr31Vo488kiWLVvGkUceya233toqyxER6QpUw0dERERERKK2ceNGrr76ajZv3lw/rE+fPtxzzz3069evVZf1wgsvMGvWLAAuvPBCpk+fzh/+8IdWXYaISGeln1dERERERCQqzjmuvvpqCgoKKCsrq/8rKCjg6quvblFNHzPj6KOPZvLkydx///0AbNq0if79+wPQv3//BkkmERGJTDV8REREREQkKgsWLGDz5s3U1tY2GF5bW8vmzZtZsGABEydObFbZH374ITk5OWzevJkZM2YwatSoVohYRKTrUg0fERERERGJSmFhYYvGR5KTkwN4zcNOOeUUZs+eTd++fdmwYQMAGzZsoE+fPs0uX0Skq1HCR0REREREopKbm9ui8eHs2rWLkpKS+tevv/46++23HyeddBIPP/wwAA8//DAnn3xys8oXEemK1KRLRERERESiMmHCBPr06UNBQUGDZl1xcXH06dOHCRMmNKvcTZs2ccoppwBQXV3Nueeey7HHHsvUqVM588wzefDBBxk4cCD//ve/W2U9RES6AiV8REREREQkKmbGPffcE/YpXWbWrHKHDBnCggUL9hreq1cv3nrrrWbHKyLSlSnhIyIiIiIiUevXrx/PPPMMCxYsoLCwkNzcXCZMmNDsZI+IiLQNJXxERERERKRJzIyJEyc2+4lcIiLS9tRps4iIiIiIiIhIJ6OEj4iIiIiIiIhIJ6OEj4iIiIiIiIhIJ6OEj4iIiIiIiIhIJ6OEj4iIiIiINMnWrVuZOXMmf/3rX5k5cyZbt25tcZmXXHIJffr0Yb/99qsftm3bNmbMmMHw4cOZMWMG27dvrx93yy23MGzYMEaOHMlrr73W4uWLiHQ2SviIiIiIiEhUamtrue222zjxxBO56667eOSRR7jrrrs48cQTue2226itrW122RdddBGvvvpqg2G33norRx55JMuWLePII4/k1ltvBWDx4sXMnDmTRYsW8eqrr3LVVVdRU1PTonUTEelslPAREREREZGo3H777Tz33HNUVlZSUVEBQEVFBZWVlTz33HPcfvvtzS77sMMOo2fPng2GvfDCC1x44YUAXHjhhTz//PP1w88++2ySk5MZPHgww4YNY/bs2c1etohIZ6SEj4iIiIiINGrr1q08++yzlJeXhxxfXl7Os88+y7Zt21ptmZs2baJ///4A9O/fn82bNwOwbt068vLy6qfLzc1l3bp1rbZcEZHOQAkfERERERFp1BtvvIGZRZzGzHj99dfbPBbnXMhli4jIHkr4iIiIiIhIozZv3lzfjCuciooKtmzZ0mrL7Nu3Lxs2bABgw4YN9OnTB/Bq9BQUFNRPV1hYSE5OTqstV0SkM1DCR0REREREGtWnTx+Sk5MjTpOcnEx2dnarLfOkk07i4YcfBuDhhx/m5JNPrh8+c+ZMKioqWLVqFcuWLWPatGmttlwRkc5ACR8REREREWnUjBkzQjalCuSc4+ijj25W+eeccw4HHXQQS5YsITc3lwcffJDrr7+eN954g+HDh/PGG29w/fXXAzB27FjOPPNMxowZw7HHHss999xDfHx8s5YrItJZJcQ6ABERERER6fh69erFaaedxnPPPRey4+aUlBROOeWUvZ60Fa0nn3wy5PC33nor5PAbb7yRG2+8sVnLEhHpCpTwERERERGRqFx77bUAPPvss5gZFRUVJCcn45zjlFNOqR8vIiKxp4SPiIiIiIhEJS4ujp/85CdcdNFFvPHGG2zZsoXs7GyOPvroZtfsERGRtqGEj4iIiIiINEmvXr04++yzYx2GiIhEoE6bRUREREREREQ6GSV8REREREREREQ6GTXpEhERERGRJtmxYwcffPABxcXFZGRkcMghh5CVlRXrsEREJIBq+IiIiIiISFSKi4v5xS9+wXHHHccf/vAH7rrrLv7whz9w3HHH8Ytf/IKSkpJml33JJZfQp08f9ttvv/phN910EwMGDGDixIlMnDiRl19+uX7cLbfcwrBhwxg5ciSvvfZai9ZLRKQzUsJHREREREQaVVxczAUXXMA777xDZWUlZWVlVFVVUVZWRmVlJe+88w7nn39+s5M+F110Ea+++upew6+99lrmz5/P/PnzOe644wBYvHgxM2fOZNGiRbz66qtcddVV1NTUtGj9REQ6GyV8RERERESkUbfeeiubN2+mqqoq5Piqqio2b97MLbfc0qzyDzvssKgf7f7CCy9w9tlnk5yczODBgxk2bBizZ89u1nJFRDorJXxERERERCSiHTt2MGvWrLDJnjpVVVXMmjWLHTt2tNqy7777bsaPH88ll1zC9u3bAVi3bh15eXn10+Tm5rJu3bpWW6aISGeghI+IiIiIiET0wQcfEB8fH9W08fHxfPDBB62y3O9973usWLGC+fPn079/f37yk58A4Jzba1oza5Vlioh0Fkr4iIiIiIhIRMXFxVRXV0c1bXV1NcXFxa2y3L59+xIfH09cXByXX355fbOt3NxcCgoK6qcrLCwkJyenVZYpItJZKOEjIiIiIiIRZWRkkJCQENW0CQkJZGRktMpyN2zYUP/6ueeeq3+C10knncTMmTOpqKhg1apVLFu2jGnTprXKMkVEOovoztoiIiIiItJlHXLIIdx8881RTVtTU8MhhxzS5GWcc845zJo1i6KiInJzc/ntb3/LrFmzmD9/PmZGfn4+9913HwBjx47lzDPPZMyYMSQkJHDPPfdE3eRMRKSrUMJHREREREQiysrKYvr06bzzzjsRO25OTExk+vTpZGVlNXkZTz755F7DLr300rDT33jjjdx4441NXo6ISFehJl0iIiIiItKoG264gT59+pCYmBhyfGJiIn369OGGG25o58hERCQUJXxERERERKRR6enpPPbYYxx++OEkJSWRmppKYmIiqampJCUlcfjhh/PYY4+Rnp4e61BFRAQ16RIRERERkSilp6dz8803s2PHDj744AOKi4vJyMjgkEMOaVYzLhERaTtK+IiIiIiISJNkZWVxwgknxDoMERGJQAkfERERERFpkpqaGtasWcOuXbtIS0tj0KBBekqWiEgHo4SPiIiIiIhEpbi4mGeeeYYnn3yS8vJy4uPjqampITU1lbPPPpszzjhDffiIiHQQ6rRZREREREQaVVhYyFlnncWDDz7I9u3bKSsro7S0lLKyMrZt28aDDz7ImWeeSWFhYZPLLigo4PDDD2f06NGMHTuWO++8E4Bt27YxY8YMhg8fzowZM9i+fXv9PLfccgvDhg1j5MiRvPbaa622niIinYUSPiIiIiIiElFxcTGXX345RUVFVFRUhJymoqKCoqIiLr/8ckpKSppUfkJCArfddhtfffUVn3zyCffccw+LFy/m1ltv5cgjj2TZsmUceeSR3HrrrQAsXryYmTNnsmjRIl599VWuuuoqampqWryeIiKdiRI+IiIiIiIS0TPPPENxcTHOuYjTOefqm301Rf/+/Zk0aRLgPQls9OjRrFu3jhdeeIELL7wQgAsvvJDnn38egBdeeIGzzz6b5ORkBg8ezLBhw5g9e3bTV0xEpBNTwkdERERERMKqqanhySefDFuzJ1hFRQVPPvkktbW1zVre6tWr+fzzzznggAPYtGkT/fv3B7yk0ObNmwFYt24deXl59fPk5uaybt26Zi1PRKSzUsJHRERERETCWrNmDeXl5U2ap6ysjNWrVzd5WaWlpZx22mnccccdZGRkhJ0uVE0jM2vy8kREOjMlfEREREREJKxdu3Y1+ZHr8fHx7Nq1q0nzVFVVcdppp3Heeedx6qmnAtC3b182bNgAwIYNG+jTpw/g1egpKCion7ewsJCcnJwmLU9EpLNTwkdEWszMjjWzJWa23MyuDzPNdDObb2aLzOzd9o5RREREmictLa3JHSLX1NSQlpYW9fTOOS699FJGjx7Nj3/84/rhJ510Eg8//DAADz/8MCeffHL98JkzZ1JRUcGqVatYtmwZ06ZNa1KMIiKdXUKsAxCRfZuZxQP3ADOAQmCOmf3XObc4YJos4G/Asc65tWbWJybBioiISJMNGjSIlJQUysrKop4nNTWV/Pz8qKf/8MMPefTRRxk3bhwTJ04E4Oabb+b666/nzDPP5MEHH2TgwIH8+9//BmDs2LGceeaZjBkzhoSEBO65554m10ISEenslPARkZaaBix3zq0EMLOZwMnA4oBpzgX+45xbC+Cc29zuUYqIiEizxMfHc8455/Dggw9G1XFzcnIy55xzDnFx0TcmOOSQQ8I+Aeytt94KOfzGG2/kxhtvjHoZIiJdjZp0iUhLDQAKAt4X+sMCjQB6mNksM5tnZt9pt+hERESkxc444wwyMjIa7RjZzMjIyOD0009vp8hERCQcJXxEpKVCXfkF/0SXAEwGjgeOAX5lZiP2KsjsCjOba2Zzt2zZ0vqRioiISLOkp6fzwAMP0Lt3b5KTk0NOk5ycTO/evXnggQdIT09v5whFRCSYEj4i0lKFQF7A+1xgfYhpXnXO7XLOFQHvAROCC3LO3e+cm+Kcm5Kdnd1mAYuIiEjT5ebm8vTTT3PZZZfRs2dPUlNT6d69O6mpqfTs2ZPLLruMp59+mtzc3FiHKiIiqA8fEWm5OcBwMxsMrAPOxuuzJ9ALwN1mlgAkAQcAt7drlCIiItJi6enpXHzxxVx44YWsXr2aXbt2kZaWRn5+fpP67BERkbanhI+ItIhzrtrMvg+8BsQD/3TOLTKzK/3x9zrnvjKzV4EvgFrgH865L2MXtYiIiDTX4sWLeeyxx5gzZw4VFRUkJyczdepUzj//fMaMGRPr8ERExKeEj4i0mHPuZeDloGH3Br3/E/Cn9oxLREREWk9RURHXXHMNa9asobKyktraWgB2797Nm2++yXvvvcegQYO488476d27d4yjFRER1bsUEREREZGItmzZwrnnnsvy5cspLy+vT/bUqa2tpby8nOXLl3PuuedSVFTUpPILCgo4/PDDGT16NGPHjuXOO+8E4KabbmLAgAFMnDiRiRMn8vLLe35fuuWWWxg2bBgjR47ktddea/lKioh0MqrhIyIiIiIiEf3oRz9i586d1NTURJyupqaGnTt3cs011/D4449HXX5CQgK33XYbkyZNoqSkhMmTJzNjxgwArr32Wq677roG0y9evJiZM2eyaNEi1q9fz1FHHcXSpUuJj49v+sqJiHRSquEjIiIiIp1SdU0tH6/YylcbimMdyj5t0aJFrFmzptFkT52amhrWrFnD4sWLo15G//79mTRpEuB1DD169GjWrVsXdvoXXniBs88+m+TkZAYPHsywYcOYPXt21MsTEekKlPARERERkU7p2c8KOeeBTzjt7x+xeP3OWIezz3r88ceprKxs0jyVlZU89thjzVre6tWr+fzzzznggAMAuPvuuxk/fjyXXHIJ27dvB2DdunXk5eXVz5ObmxsxQSQi0hUp4SMiIiIindLGneUA7K6sYduupiUsZI85c+bs1WdPY2pra5kzZ06Tl1VaWsppp53GHXfcQUZGBt/73vdYsWIF8+fPp3///vzkJz8BwDm317xm1uTliYh0ZurDR0REREQ6pTOm5OIcZKcnc8CQXrEOZ59VUVHRLvNVVVVx2mmncd5553HqqacC0Ldv3/rxl19+OSeccALg1egpKCioH1dYWEhOTk6z4hQR6axUw0dEREREOqWcrG78aMYIzjtwEInxuuxtruTk5DafzznHpZdeyujRo/nxj39cP3zDhg31r5977jn2228/AE466SRmzpxJRUUFq1atYtmyZUybNq1ZcYqIdFaq4SMiIiIiImFNnTqVN998s0nNuuLi4pg6dWrU03/44Yc8+uijjBs3jokTJwJw88038+STTzJ//nzMjPz8fO677z4Axo4dy5lnnsmYMWNISEjgnnvu0RO6RESCWKj2ryIisTZlyhQ3d+7cWIchIiLS4Xz11VeMHj263Za3ePFirrjiCsrLy6OeJyUlhQceeKBd42wvoba/mc1zzk2JUUgiIiGpbquIiIiIiIQ1ZswYBg0aFHUNmvj4eAYNGtQpkz0iIvsSJXxERERERCSiO++8k8zMzEaTPvHx8WRmZnLnnXe2U2QiIhKOEj4iIiIiIvuY9u6WoXfv3jzxxBMMGzaMlJQU4uIa3kbExcWRkpLC8OHDeeKJJ+jdu3e7xtde1B2GiOxL1GmziIiIiMg+JCUlha1bt9KrVy/MrN2W27t3bx5//HEWL17MY489xpw5c6ioqCA5OZmpU6dywQUXdOpmXM45tm7dSkpKSqxDERGJijptFpEOSZ02i4iIhFZVVUVhYWGTOlGW1pGSkkJubi6JiYkNhqvTZhHpiFTDR0RERERkH5KYmMjgwYNjHYaIiHRw6sNHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTSYh1ACIiIiKybyurrOaZeYWUlFdz+uRc+mSkNKuc8qoaVhXtIiczhcxuSa0cpYiISNeihI+IiIiItMirX27kVy8sAqCiuoZrZ4xsVjm3vb6EB95fxUFDevK38ybTI01JHxERkeZSky4RERERaZH4OKt/HWcWYcrwdldW8+xn6wD4eOU2CreXtUpsIiIiXZVq+IiIiIhIixw9th9/On08JRXVnDwhp1lldEtK4AdHDOO215dy4oT+DM1Oa+UoRUREuhZzzsU6BhGRvUyZMsXNnTs31mGIiEg7Ky6rontyAnFxzaspJBILZjbPOTcl1nGIiARSDR8RERER6TAyUhNjHYKIiEinoD58REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6mYRYByAiIiIi0ppWbill5pwCeqYlccGBg0hL1iWviIh0Pfr2ExEREZFO5fFP1vDgh6sByMlM4aSJA2IbkIiISAyoSZeIiIiIdCrpqYn1r7un6PdNERHpmvQNKCIiIiKdysUH5zMgK5Ue3ZKYPqJPrMMRERGJCSV8RERERKRTyeyWxBlT8mIdhoiISEypSZeIiIiItJrK6lq+Wr+TopKKWIciIiLSpSnhIyIiIiKtwjnHX95Yyrf++gFn3/8xq4p2xTokERGRLksJHxERERFpFbsqanj8kzUALN+yiy/X7YxxRCIiIl2XEj4iIiIi0irSkuM5c2ouAAN7pjImJ6PdYyjYtpuZs9fy+drt7b5sERGRjkSdNouIiIhIqzAzfnrMKE6eOIA+6cn0y0xt1+U75/j1C1/yzpItpCfH898fHMrg3mntGoOIiEhHoYSPiIiIiLSalMR4xudmxWTZNbWOddvLACipqKG0vDomcYiIiHQESviIiIiISKeQEB/Hb7+9H//7YgMTcjPZb0D7NykTERHpKJTwEREREZFO46AhvThoSK9YhyEiIhJz6rRZRERERERERKSTUcJHRERERERERKSTUcJHRERERERERKSTUcJHRFrMzI41syVmttzMro8w3VQzqzGz09szPhERERERka5GCR8RaREziwfuAb4FjAHOMbMxYab7A/Ba+0YoIiKt6bM127nlla945csNsQ5FREREItBTukSkpaYBy51zKwHMbCZwMrA4aLofAM8CU9s3PBERaS2V1bVc/58vWLqplPg445Vr0hjRV48+FxER6YhUw0dEWmoAUBDwvtAfVs/MBgCnAPe2Y1wiItLK4gzSUxIBSEowEuN1KSkiItJRqYaPiLSUhRjmgt7fAfzcOVdjFmpyvyCzK4ArAAYOHNha8YmISCtJiI/jllPH8d7SLYwdkMng3t1jHZKIiIiEoYSPiLRUIZAX8D4XWB80zRRgpp/s6Q0cZ2bVzrnnAydyzt0P3A8wZcqU4KSRiIh0ACP6pjOib3qswxAREZFGKOEjIi01BxhuZoOBdcDZwLmBEzjnBte9NrOHgJeCkz0iIiIiIiLSepTwEZEWcc5Vm9n38Z6+FQ/80zm3yMyu9Mer3x4REREREZF2poSPiLSYc+5l4OWgYSETPc65i9ojJhERERERka5Mj1YQEREREREREelklPAREREREREREelklPAREREREREREelklPAREREREREREelklPAREREREREREelklPAREREREREREelk9Fh2EREREWkVW0srePCDVVRU13LxN/LJ7dEt1iGJiIh0WUr4iIiIiEireH3xJv42awUAvdKSuOrwYTGOSEREpOtSky4RERERaRUDeqQSH2cA5HXi2j1lldUUl1XFOgwREZGIVMNHRERERFrFYcOzefbKg6isqWVqfs9Yh9MmVm8t5Zon51OwfTd/PXsShwzvHeuQREREQlLCR0RERERazcSBPWIdQpuav3YnCwp3AvDe0i1K+IiISIelJl0iIiIiIlGakJfFfjkZZKUmcOgIJXtERKTjUg0fEREREZEoDe6dxtNXHkRldS1Z3ZJiHY6IiEhYSviIiIiIiDRBt6QElOsREZGOTk26REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8REREREREREQ6GSV8RERERKRLWFi4k5e+WM+2XZWxDkVERKTN6bHsIiIiItLpLd1UwjkPfExpRQ3nHTiQ3397XKxDEhERaVNK+IiIiIh0Is45Xv5yAyu37OKIkX0YOyAz1iF1CEWlFZRW1ACwfFNJjKMRERFpe0r4iIiIiHQi7y8t4urHPwfg+c/X8fzV3yA9JTHGUcXe5EE9+MVxo/l6QzFnTs2LdTgiIiJtTgkfERERkU5ke9me/mkKt5dRUV1Legzj6SiSE+K54rAhsQ6jTVVW17Ju+276ZaaSmhQf63BERCTG1GmziIiISCcyfUQ2Fx40iDH9M/jj6ePp3T051iFJO7nzraUcftu7/Oa/i6iuqY11OCIiEmOq4SMiIiLSiWR2S+K3J+8X6zCknTnneHnhRgD+u2Ad139rJD3TlOwTEenKlPARERER2cfV1jrKq2volqRLu67KzPj5sSN59rNCjhnbT8keERFRwkdERERkX7Z0YzG/fXExX20s4bJDBnPFYUNIiO8YrfZLyqsoq6yhT0ZKrEPpEo7drz/H7tc/1mGIiEgH0TGuBkRERESkWR77dC0frtjKtl2V/PG1JcxetS3WIQGwbFMJZ/z9Yw6+9W2enVcQ63BERES6HCV8RERERPZhFVUNO+etqK6JUSQNfbRiK19vKqG61vGvj1bHOhwREZEuRwkfERERkX3Y6VNy6ec3mTpzSi7TBveKaTxlldU89NFqikorSE7wLjWnj+wT05hERES6IvXhIyIiIrIPm5rfk5d+cAg7y6vI7ZFKckJ8TOP5z2fruOm/izCDQ4b15rTJAzh2rPqVERERaW+q4SMiIiKyj+udnszQ7O4xT/YAFO7YDYBz8P6yInp2SyYlMfZxiYiIdDVK+IiIiIhIqzl8ZF8yUrxK5IcN781+OZn148oqa/jvgvW8snADVTW14YoQERGRVqAmXSIiIiLSaqYN7skL3/8Gm4srGNE3nR5pSfXjnplXwK9eWATA7WdO4JRJubEKU0REpNNTwkdEREREWtXg3t0Z3Lv7XsN37K7a87qsaq/xIiIi0nqU8BERERHZB1VW1/Lesi2UllczLb8nOT1SYx1So06bPICyqhoS442TJuTEOhwREZFOTQkfkS7OzJKdcxWxjkNERKLnnOOut5dx19vLARibk8EDF0zp8EmfnKxu/OzYUbEOQ0REpEtQp80iXYiZ/TPofXfg5RiFIyIizbR9dyX3vbuy/v2i9cXMXbs9hhGJiIhIR6OEj0jXss7M/g5gZj2A14HHYhuSiIg0VXJCHH0ykhoMq3syloiIiAgo4SPSpTjnfgUUm9m9eMme25xz/4pxWCIi0kRpyYnceuoEBvXsRrekeK47egSHDOsd67BERESkA9FPQSJdgJmdGvB2NvAr/78zs1Odc/+JTWQiItJchwzvzas/OpTK6loyuyU1PoOIiIh0KUr4iHQNJwa9/xxI9Ic7QAkfEZF9UGpSAqnK9YiIiEgISviIdAHOuYtjHYOIiIjsO8qrathaWkm/zBTi4yzW4YiISDMo4SPShZhZNnA5kE/A8e+cuyRWMYmIiATbVVFFRXUtPdOSYx1Kl1ReVcONzy3k2c/Wcc2Rw7l2xohYhyQiIs2gTptFupYXgEzgTeB/AX8iIiIdwtcbijnlno84+Na3eWXhhliH0yVtLinn2c/WAfDE7LVUVtfEOCIREWkO1fAR6Vq6Oed+HusgREREwnlv6RaWbi4F4Km5BXxrXP8YR9T19M9M5arpQ5k5p4AfHD6MpIT4WIckIiLNoISPSNfykpkd55x7OdaBiIiIhDKyXzoJcUZ1rWPyoB6xDqdLSoyP42fHjuL7RwyjW5JuF0RE9lXmnIt1DCLSTsysBEgDKoAqwADnnMuIaWAhTJkyxc2dOzfWYYiISAzML9jOjt1VHDikFymJql0iHZ+ZzXPOTYl1HCIigZSyF+lCnHPpsY5BREQ6l4Jtu3hj8Sb6Z6Zy9Nh+rfJEp4l5qtkjIiLSUkr4iHQxZtYDGA6k1A1zzr0Xu4hERGRfVVvr+OXzX/Lu0iIA7j1/Esfupz53REREOgIlfES6EDO7DLgGyAXmAwcCHwNHxDAsERHpYJZvLuH5z9eTmhTPGZNz6ZOREnK6qppaFm8oqX+/qbiivUIUERGRRuix7CJdyzXAVGCNc+5wYH9gS2xDEhGRjqSiuoYb/rOQu99Zzp9eW8J9763ca5qSsipWF5WSEB/Hb04cQ//MFGaM7stRo/vGIGIREREJRTV8RLqWcudcuZlhZsnOua/NbGSsgxIRkY6jvLKGReuL69+vKtrVYPzGnWVc/cTnzFuznZ8cPYIfHDGco8f0JTE+DrOW998jIiIirUM1fES6lkIzywKeB94wsxeA9TGNSEREOgTnHJuLy0lMiOOaI4cDkBhvnDYpt8F0X28oYd6a7QA88tEaKqpqSEqIV7JHRESkg1ENH5EuxDl3iv/yJjN7B8gEXo1hSCIi0gHU1jrufXcFf359CfvlZPKXMydw6PDeJCfGMzS7e4NpR/RLZ9yATBau28lZ0/JI3ocem15dU8sbizdRWV3LMfv10yPfRUSkU1PCR6SLMLM44Avn3H4Azrl3YxySiIh0EIU7dvPH15YA8MW6nbz51WaunD405LQ5Wak8fMk0tpSUMyQoGdTRvf31Zr73+GcA3FY7ntMm58U4IhERkbajJl0iXYRzrhZYYGYDYx2LiIh0LN2TE8jrkVr/vl9mcsTpe6YlMbJfBonx+9alZGCjMzVBExGRzk41fES6lv7AIjObDdT3wumcOyl2IYmISKz1TEvmnvMm8dZXm8ntkcpx43JiHVKbOHxUH/5+3iSqamo5emy/WIcjIiLSppTwEelafhvrAEREpGMan5vF+NysWIfRphLi4/jWuP6xDkNERKRdKOEj0oU01m+PmX3snDuoveIREZGOp7qmlre/3kxxeTVHjOpDz7SkWIckIiIizaCEj4gESol1ACIiElvPflbITf9dTFlVDecdMJDfnzIu1iGJiIhIMyjhIyKBXKwDEBGR2CmrrOazNdsZ2S+dvhkpzF61NdYhiYiISDMp4SMiIiIiAHy4fCtPzS0EICMlgd9/e78YRyQiIiLNtW89S1NE2pqeUSsi0oVldUskzv8mGNizGzPG6ElWIiIi+yrV8BGRQBfEOgAREWkfz31eyLtLtvCNYb05Y0oeAFPye/LghVNZvrmEb47IJiUpPsZRSjTmrNrG7FVb+eaIbPbr5E9aExGR6CnhI9KFmNmpwB+APni1eQxwzrkMvBdfxjA8ERFpJyu3lPKTpxdQ6+CFBesZOyCTMf0zADh8VB8OH9UnxhFKtErKqvj+k5+xqbiCt7/ewjPfOwgzVdgVERE16RLpav4InOScy3TOZTjn0uuSPSIiEhvVNbXMX7udT1dupbyypl2WmZQQR5pfeycpPo6UBF0S7qsS4o0+6ckA9OqepGSPiIjUUw0fka5lk3Puq9Yu1MyOBe4E4oF/OOduDRp/HvBz/20p8D3n3ILWjkNEZF9TXlXD715azGOfrgVg+oje/OmMiWT7N/BtJbdHN+7/zhQ+XbmNyfk9GJLdvdllbdxZRnlVLfm901oxQolWalICd527P4vWFTNpYI9YhyMiIh2IEj4iXctcM3sKeB6oqBvonPtPcws0s3jgHmAGUAjMMbP/OucWB0y2Cvimc267mX0LuB84oLnLFBHpLD5dtbU+2QMwa2kRb361iXOmDWzzZR80tDcHDe3dojI+WlHElY/OY1dlDX8+YwKn7D+glaKTpsjv1Z38Xs1P2omISOekhI9I15IB7AaODhjmgGYnfIBpwHLn3EoAM5sJnAzUJ3yccx8FTP8JkNuC5YmIdBo7dlftPWxXZf3r8qoa3v56E0s3lTKmfwaHj+pDYnzHaX717tItFJdXA/DigvVNTvis217Gk7PXkJmayHkHDKJbsi5NRUREWou+VUW6EOfcxW1Q7ACgIOB9IZFr71wKvNIGcYiI7HOm5Pekf2YKG3aWA5CcEMfBw3rVj3/wg5X86bWl9e9/c+IYLv7G4HaPM5z9cjIxA+dg2uCmNyd6em4Bd7+zAoD+WamcMD6ntUMUERHpspTwEelCzCwFL+EyFkipG+6cu6QlxYYY5sIs/3B/+YeEGX8FcAXAwIFt35xBRDq/wu27eX3RJgq27WZInzSOHduP7PSUxmdsJwOyUvnnRVN5eeEGKqtrOXJ0XybkeYmTbbsq+PusFQ2mv/+9lZw1NY9uSR3jEu7ECTn0y0xmd2UNBw7p1fgMQXp1TwIgzqBnt6TWDk9ERKRL6xhXCyLSXh4FvgaOAf4POA9oaSfOhUBewPtcYH3wRGY2HvgH8C3n3NZQBTnn7sfr34cpU6aETBqJiESrcPtuLn9kLl9tKKkf9r8vNvD38ybTI63jJBdG989gdP+9H5gYHxdHUkI8VOx5cldqYjxxGEs3FvP4p2spr6rl2/vntLgvnpaYmt/0RE+dM6fk0T8jhfTUxGYljERERCS8jtMIXETawzDn3K+AXc65h4HjgXEtLHMOMNzMBptZEnA28N/ACcxsIF4/QRc455aGKENEpNW9vnhTg2QPwCcrt/Hu0i3tHsvm4nJ2lu3dX08kmamJ/HjG8AbDrj58GBjc8NxCHv54DU/NLeDKxz5j7dbdrRluu0lJjGfG2H5K9oiIiLQB1fAR6Vrq7jZ2mNl+wEYgvyUFOueqzez7wGt4j2X/p3NukZld6Y+/F/g10Av4m5kBVDvnprRkuSIijSncFjoJUhBmeFsoLqvkrreW89DHq+nRLYmfHTuS0yfnNT6j79xpgxianc7yzSWM7p/O5EE92bqrkgUFO+un2VlWxaaScgb26hZVmYvX7+SD5UX0TEviuP36N9pRclFpBc99VsgXhTsZl5vJRQcPJilBvxmKiIh0dEr4iHQt95tZD+BXeLVwuuMlY1rEOfcy8HLQsHsDXl8GXNbS5YiINMWwPqEfUx1ueFt48YsNPPDBKgA2l1Tws2e+YFS/DPYbkBnV/HFxxkFDe3HQ0D01YHp2S+LUSQN4em4hABNyMxnSOy2q8lZsKeXif81hU0kFAGu37ebHM0ZGnOfxj9fwvy83sHRTKS9+sYERfdOZPrJPVMsTERGR2FHCR6QLcc79w3/5LjAklrGIiLS1o8f245WFG3l/eVH9sBPH9+fQ4e3X382KzaUN3tc6WFW0a6+Ez6bicp77bB1rtu1i8qAenDghh+SE+JBlxsUZvzx+NFPye1BWWcuRo/vQq3tyVPF8vaG4PtkDXp9GjSV8CrbvJjXRi8UM0pJCxyUiIiIdixI+Il2ImfUFbgZynHPfMrMxwEHOuQdjHJqISKvr3T2Zv56zP+8v2+I9pSu7O4cO7033lMR2i2FsTsPOmJPi4xjZL73BMOccf3z1a579bB0AT84uoLK6lnMPGMS2XRUUl1XRPyu1QQIoIzWJM6c0/WmGeT27kRQfR2VNLQBT83s2Os/JEwfwwAcrOWJkNkeO7svUwepvR0REZF+ghI9I1/IQ8C/gRv/9UuApQAkfEemUeqQlcdLEATFb/nHjcigqreThj1fTJz2Zq6YPY0Tfhgmf9TvK+c/n6xoMe3fJFoZmd+eHT85nU0k5p0wcwG9PHkNGasueLjY+N4t7z5/EG19toldaMucd0HjS6NAR2UzO74EBqR3kcfAAry/ayBOz1zJ5UA8uP3QIKYnxlFVWs21XJX0zUkiIVz9DIiLStXWcb20RaQ+9nXNPm9kNUN/hck1jM4mISPOkJsXz3W8O5cKD8omPNxJDJCEyUhPI69GNtQGdSQ/OTuNv7yxnU0k5AM/NX8dhI7I5ZVLLk1dHjO7LEaP7Nmmebh0o0fPe0s3MXb2dL9fvZNaSLcxasoXJA3swsn861z29gHeWbOHKw4Zw3TEjlfQREZEuTd+CIl3LLjPrBTgAMzsQ2Bl5FhERaamUpPiQyR6A9JREfnPiGHp392rv7J+XxWmTBrC7qmE+vrJG+fnC7bu5/JF5/PXt5WwuqSC7ezLdkuLp1T2JxeuKeWfJFgDufW8lm4orGilNRESkc+s4P9eISHv4Md7TuYaa2YdANnB6bEMSEela5q3ZzstfbKCipoYjRvXliFF9OHJ0X1695jA2FpczNDuN1KQErjhsCF8Ufk5FdS0HDumpJ2MBCXFxdE9OoKK6kl5pSVx2yBAG9erGyH4ZdEvaxaBe3VizdTdHjMqmV1rLmr+JiIjs68w5F+sYRKQdmVkCMBIwYIlzrirGIYU0ZcoUN3fu3FiHISLSqpZsLOH0v39ISYVXWyfO4KFLpnHY8OyQ06/cUsq2XZUM69OdrG5KYAAsKNjBl+t3csjQ3gwKehx9wbZdrN66m7E5mfRUwkfakZnNc85NiXUcIiKBVMNHpAsxs3jgOCAf7/g/2sxwzv0lpoGJiMSYc473lxXxwfItGMahw7M5pA0e3/7Jyq31yR7wHtP+wbItYRM+Q7K7MyT0KABWFZVy/7srWbt9N6dPymuVPn7aU0V1DffNWsHbX2/mjCl5nHfgoEbnmZCXxYS8rJDj8nqmkdczLeQ4ERGRrkYJH5Gu5UWgHFgI1MY4FhGRDuM/n63jJ/9eUP/+/vdXctsZEzh1Um6rLqd7yt6XXt2Tm/+Y+PveXcnMOQUAfLxiK4N6dWPSoB7NLq+9zVm9jb+8uQyABet2Mm1wT4YHPcVMREREmkcJH5GuJdc5Nz7WQYiIdCQlZVXc8dayBsOcg7vfXsbRY/u2KCETbPqIbA4a2pOPV2wDYFDPbhw3rl+zywt8sletg227vY6KK6pqSE6Mb1mw7SAjJZH4OKOm1pGRkki3pI4fs4iIyL5CCR+RruUVMzvaOfd6rAMREekotu2upCAgcVJnZdFudu6uatWET6/uyfz9vMl8vGIrlTW1HDC4J/0yU5td3umTc/l45Vacg2n5PclOS+HSh+bwReFOzjkgj6umDyMlIPGzubgcMyM7Pbk1VqfFxudmcf8Fk/micCcHD+3FgB7dYh2SiIhIp6GEj0jX8gnwnJnFAVV4HTc751xGbMMSEYmdvhkpTBqYxWdrdzQYfsDgnmSnp7T68rK6JfGtcf1bpaxTJ+UyqGc3tu2uYmJeJn+ftYK3vt4MwF/fWs7YnEyOGevVIHp90UZ+OPNzEuKMu86ZxOGjOsZTv44c3ZcjR/cNOa6yupbVW3fRJz1ZnVaLiIg0UVysAxCRdnUbcBDQzTmX4ZxLV7JHRLq6lMR4rp0xgrTkPTVhMlIS+OGRw0lK6PiXSpPzezJjTF+y01MoDegQGmB3RXX964c/Xk15VS2lFTX8e25Be4cZ0rrtZezcHfphkc45/vLGUo6+/T0ueWgOG3eWtXN0IiIi+zbV8BHpWpYBXzrnXKwDERHpSA4dns3/fnAoH6/cigEHDe3FoF773tOevj0xh1e/3EBxeTUHD+3JN4btedLYsD7pfLh8KwADO8C6Pfrxan7930UM7pXG386bxKj+DX9/KC2v5olP1wDw2dodLN9c2qLmbyIiIl2NEj4iXcsGYJaZvQJU1A3UY9lFRCC/dxr5vWOfCGmJg4f15qUfHMqWknKG9uneoBnU9w8fSl5WKnFxxskTc2IYJVRW13DX28txDlYW7eKD5UV7JXzSUxO58OB87np7OQcM7snIfnp6V1exfVclG4vLGZrdfZ+oZSci0lEp4SPStazy/5L8PxER6WQG9urGwF57d36cnZ7CZYcNaVHZSzeV8PScAtKS4zn/wEHN7uMoKSGe6SOzeXpuIfFxxvA+3UNOd82Rwzl1/wH07p5MemrrdZ4tHdf2XZV899F5zF69jWuPGs41R42IdUgiIvssJXxEuhDn3G8jjTezu5xzP2iveEREpO1UVNVQWlFNr+6t90Suv7y+lFcXbQTAzPhRC27Gf3HcaKaPzCY7PYWp+T1DTpMQH8fg7NDJIOmcNu4sY/bqbQC89dVmJXxERFpAdSRFJNA3Yh2AiIi03OqtpVzw4KccdMvb3PfuClqr67bi8j0dLJdX1USYsnFZ3ZI4blxO2GSPdE1D+6Rz7VHDGTcgk6sOHxrrcERE9mmq4SMiIiLSyby5eDOzV28H4JZXvuaYsX3J793ymjLXHuU9uSwrNZEzJue1uDyRYEkJcVxz1AjV7BERaQVK+IiIiIh0Mr277+mmrV9GCt1TWqf/m6mDe/HQ4F6tUpaIiIi0LSV8RCSQxToAERHZ26wlm1lQsIOcrFROGJ9DalJ8xOm/Na4/5VW1rN22mxlj+tK7Ffvxaal128u4+53l7Cyr4ruHDWFCXlasQxIREemUlPARkUB3xjoAEZGuzjnHltIKkuPjyOyWxJuLN3LFo/Oo9bvhWb65lLOm5jEkQmfGyQnxnD1tYDtF3DT/XbCOJ2evBSA1KY7b8ibGNiAREZFOSp02i3QhZvaGmWUFvO9hZq/VvXfOPRSLuERExFNZXcvtby7l4Fve5tA/vsPLCzfw6apt9ckegP8t3MDF/5rN85+vi12gLdAjbU9zs15pHafmkYiISGejGj4iXUtv59yOujfOue1m1ieG8YiISIC3v97MX99aDkBxeTXXPjWfq4OeVNQnPZllm0r502tfc9y4/iQl7Pn97qsNxazbUcaE3Eyy01NaHE95VQ1bSyvITk9psJyW+PbEASTEGaXl1Rw/PqdVyhQREZG9KeEj0rXUmtlA59xaADMbBLTOs3pFRKTFtu+qbPC+orqWAwf34uyp5bz0xQbyeqYyJDuNlMR4uiXGs2xTCWMHZAIwe9U2LvzXp5RV1nLgkJ78/bzJDWrTNNWO3ZX8/NkveG3RJs6emsdvThxDalLLLx1TEuM5XU/4EhERaXNK+Ih0LTcCH5jZu/77w4ArYhiPiIgE2H9gFlndEtmxuwqAg4f2YnT/DG4d0otfHDeaOSu38psXF1G4oxyA5VtKeeq7B9I3I5W5q7dRVlkLwCcrt7Fm264WJXwWrd/Ja4s2ATBzTgHnHTCIcbmZLVxDERERaS9K+Ih0Ic65V81sEnAg3hO5rnXOFcU4LBER8Y3qn8HDl0xj1tebSUmM56QJOaSneo9UT09JILNbIsmJey7fVm/dTcG2MvpmpDI2J4P4OKOm1jGqbzq5Wd1aFEtuj270TU9mU0kFw7LT6Juh/nZERET2JeacWnOIdHZmNso597Wf7NmLc+6z9o6pMVOmTHFz586NdRgiIh1CeVUNd7y5lH9+sJre3ZMY0TedWUu30D8zhWe/dzA5WakAfLpyKwXbdjN1cE8G9Upr8XKXbCpmyYZSxuVmMrh3y8sT6azMbJ5zbkqs4xARCaQaPiJdw4/xmm7dFmKcA45o33BERKQpZi3Zwr3vrgRg/c5yUhPjuXr6UI4a07c+2QNwwJBeHDCkV6std2TfDEb2zWi18kRERKT9KOEj0gU4567w/x8e61hERKRxzjmWbCyhqsYxvG93SsqrGozfuruSqw4fSlpyYowiFBERkY5OCR+RLsbMDgbyCTj+nXOPxCwgERFpwDnH/e+t4JZXlgBw5pRcLj90CCP7prNkUwkA3/umkj0iIiISmRI+Il2ImT0KDAXmAzX+YAco4SMi0kEsXl9cn+wBeHpuIYeP7MM/LprC52t3kJmawCHDsmMYoYiIiOwLlPAR6VqmAGOcemsXEWlTSzYW8/6yIlIT4zl8VJ8G/ew0pqK6Zq9h5dU15PXoRl6Plj15S0RERLoOJXxEupYvgX7AhlgHIiLSWS0s3MF5//iU4vJqAMbmZPDQxVPJTk+Jav5R/TI4YXx/XvpiQ/38BwxuvY6YRUREpGtQwkeka+kNLDaz2UBF3UDn3EmxC0lEpHN5ffGm+mQPwKL1xXy8cisnTRgQ1fzdkhO4+ZT9mDGmL5XVtRw8tHeTagiJiIiIgBI+Il3NTbEOQESkK2pqQ9qM1CROnhhdgihWamodj3y8mk9XbuOkCf05bnxOrEMSERGRAHGxDkBE2o9z7l3gayDd//vKHyYiIq3kqDF9SU+Or38/un86Bw3pfE2yvly3g9++uJhXF23k2qcXsG1XReMziYiISLtRDR+RLsTMzgT+BMwCDLjLzH7qnHsmpoGJiHRAc1ZvY97q7aSnJPDNkdnkRtFhcml5Feu3l/HjGSMpKq2gX2YKR4zqS5+M6Prv2ZdkdUsiMyWBneXVDOvTneTE+MZnEhERkXajhI9I13IjMNU5txnAzLKBNwElfEREArwwfx0/emp+fVOsIb3T+MeFUxiS3T3sPBXVNfz6hUX85/N19cP+cNo4BvTonP3vDOqVxiOXTmPx+hKmDe5JWpIuK0VERDoSNekS6Vri6pI9vq3oPCAiXYxzjnXby9haGroJ0q6KKu54c2mDfndWFu3ilS83Riz3szU7GiR7AG57fSk7y6paHHNHNSGvB+ccMJChfcInwvZ189Zs53cvLeb1RZE/fxERkY5GP8WIdC2vmtlrwJP++7OAV2IYj4hIu1q6qYS73l7GS19sIC0pnssOGcIlhw4mIyWxfpri8mpWFe3ea96CrbtxzmFmIcveWVa517Ci0gpKK6rJTE0MMYfsC257fQkfrdjKo5+s4f2fH06f9M7XPE9ERDon/bIv0oU4534K3A+MByYA9zvnfhbbqERE2kd5VQ2/eeFLXlywAeegtKKGO95axpOfrm0wXd/0FI4e03ev+dfvLOPX/11EcYjEDsD+eT3I7p7UYNgp+w9gQAd5pHpFVQ27K6sbn1AaGN43HYCxORl0S+qY/RRVVNfw0oL1vLxwPVU1tbEOR0REOgjV8BHpYpxzz5rZG/jHv5n1dM5ti3FYIiJtbtH6Yj5euffp7snZa7noG/kkJ3g383FxxjVHDWdLaQWfr91BQpzxjWG9WbqphPeWFTG0dxoXfWPwXuX0zUzhb+dP5l8frOLzgh0cN64/F38jv61XKypzV2/j589+QUl5NbeeNp4jRvWJdUj7jJ/MGMHRY/oyNDuN7skds6bWiwvWc92/vwDgr2dP5KSJA2IckYiIdARK+Ih0IWb2XeD/gDKgFu9JXQ4YEsu4RETqrN66i007y+mZllRfs6K11AZ2yhOgptZ5Z8IAY3MyOWXiAFIT46l1jo9XbKXSrznxzpLNDRI+JeVVfLS8iJ3l1UwZ1IO/nT+ZqppaEuM7TkXqp+cWsGLLLgDueGOpEj5NkJGayDeG9Y51GBGVVdbseV2lGj4iIuJRwkeka7kOGOucK4p1ICIigdbvKOOB91bw+KcFVNbUEmdec6jvTR/KsD6tk/gZl5PJpIFZfLZ2R4PhZ03LC/lI8VocH63Yutfw1MQ9l087dlfy46fn8/bXWwBIS47n/gumdLgEQc+0PU3Ncnt2jCZm0npOnphDZU0t8WYcN65frMMREZEOQgkfka5lBbB3T6QiIjG0u6KaG/6zkHeXbqkfVuvg2c/WsXhDMQ9fPI0+GS3vKDclKZ7ffXs//vTaEt5ZsoWk+DguOngQ500bFHL6Q4Zl0y0pnt0BtScAjhm7p3+fd5dsqU/2AOyqqOFfH67aK+HjnGPhup1sKq5gQl5mu3f8e8k3BpOWnEB5VQ2nT84NO11VTS1bSyvokZZU38StueYXbCcxPo6xOZktKqerKiqt4MvCnYzol05OI/1AZaQmcekhqqwrIiINKeEj0rXcAHxkZp8C9c8jds79MHYhici+rLbWERcX+qlV0fpo5dYGyZ5AX20o4e0lmzl76sAWLaPOmJxM/nHhVFYX7SIlKY4BWd3CTjusT3fuPX8St7+5jM/X7iC7exJXHz6M48fn1E+zOcSj3b/eWLLXdnnskzX8+r+LcA7G9k/ntrMmMqpfRqusUzT6ZKTwgyOGR5xmV0U1//fSYp6aU8AJ4/vz+2/vR2a3pIjzhPPigvX8cObnxJvxjwunMH2kmpA1RU2t48bnFvLaok1MyM3kscsOID2lY/YfJCIiHZcSPiJdy33A28BCvD58RESarKyymre+2szLX25g/tod9M1I5vjxORwzth95PcMnUMJZWLiz0fFnT21utHuLjzOG9uke1bSHjejDtMG92LCjjKxuSfRIa5gAmZSXRZx5NZLqnLL/gAbJnq2lFfzxtSX0y0hhdP8MNu4s5/Y3lnHNkcMY04Fqv3y5bidPzSkA4KUvNnDkqD6UV9cyICuVQ4f3Dvs4+lCWbCzGOah2jqUbS5TwaaLKmho+L9gBeJ2N76qoVsJHRESaTAkfka6l2jn341gHISL7rt0V1fzu5a94IuBR5ut3lvN5wU6e/HQt95w3iVH9m1ZzJb6RGkI90xJ5ZeEGikorGJrdncn5PVrc3KgpUhLjGZwdOkE0Ob8nd569P397ZzmF28s4Z1oe3zkov8E0NbWOqppaRvZN5+2vNwOweEMxm4rLmXn5gaR0kEd998lIIatbIjt2V5GaGMcbizfx8pcbMYO7z9m/Qc2mxnxrXH8+L9hJamIcR4V4xH1rK9i2m7SkeHp2T27zZbWH1MQEbj1lHK8u2sQhw3vTL1P9LomISNOZC/PEChHpfMzs98Aa4EUaNunqcI9lnzJlips7d26swxCRIE98upZfPLcw7PgjR/Xhvgsmk9CEJ1R9tKKIcx/4NOS4Awb3pKi0ov4JUwDHj+vH/528H70Cbu7LK2vYXVVNj25JTaqJUlJWRVwcpLXwcdsVVTVUVNeSkRq6nL/PWs57S4v4eGXDTqBf/dGh7dq0K5SS8ip2VVTTLzOV+QXb+WzNDrK6JfCTf39B3WXi5YcO5sbjx8Q0znDeWLyJqx6fR25WN/51yVTye6XFOiTpgsxsnnNuSqzjEBEJpBo+Il3Luf7/GwKG6bHsIhKV8qoaZs5ZG3Gat77ezOcFO5ia3zPqcqfm9+ScaXk8ObugwfCsbonU1LoGyR6A/y3cyH4DMvne9GFUVNfwzNxC/vnhKtZu282M0X25+JDBjS5/c3E5D320midmryUpPo7zDxzIdw7KJ6uZfdYkJ8aHfNJXncsOHcKO3VUNEj55PVLpnxHbmhtrinbxvcfnsWRTKbecOo4zp+QxMa8Hhdt3k9cjlbXbygDYb0DHaXoWbEHBdqpqHKu27mLl5lIlfERERHxK+Ih0EWYWB1zvnHsq1rGIyL5pS0kFXzTS3w7Ayi27mpTwSYyP44bjRjM0uzuPfLyGtdt207t7EpcfOphbXlkScp5n5hZy6SFDeHpuAb96flH98Je/3MjHK7fyzJUHR+yn5/Y3lvLknD0Jpr+8sYyK6lp+esyoqONuisT4OC47dDC7Kqt5ak4Bo/tn8PNjRpHZLbb9snxWsJ3FG0oA+PfcAs6ckgdAbo9u/OPCKXyycht5PVKj7oOnsrqWHbsr6d09ucmdeX+yciuvfbmBbwzLblIzsOPH51C4vYz+mSlN2u9EREQ6OyV8RLoI51ytmV0NKOEjIs2SGG97dVAcbrqmykhJ5LJDh3DW1Dy2764iIyWBVUW7wk5fXF7Nropq/vXBqr3Gbd9dxdtfbwqb8FmxpZSn5hbsNfyfH6zmooMHk53eNv3AZKen8Ltvj+NHR42ge3ICKRFqBLWXMf0z6Z+Zwoad5Rw9pl+DcSP6ZjA0O523vtrE45+sYfqoPuT2CN8p966Kan75/EKen7+eH88Y0ehTwYL9/n+LWbiumKfmFvLBzw+nZ1p0n8Po/hnccfb+TVqWiIhIV6CEj0jX8oaZXYeX9Km/k+qIffiISMfTLzOVkybk8Pz89WGnSU6IY9LAHs1eRnpKYv3TiEb0jWNU3+58val0r+lOnphDda1jjd/kKFjRrsqwyyivqgmZtCqvrqG8qqZ5gTdBb7/voYJtu1m/o4z83t3oG6OmXSP7pfOf7x3Mtt2VIfsS+u+C9Vz71HwADlq4gX9dPC1somr11l0897m3bzzw/kouOji/SU+WGjcgi4Xripk0MItuSbpEFRERaanoe1QUkc7gEuBq4D1gnv+nnpFFJGqnTs6N+FStyw8dTH7v1ulDJS05gZ8eO4rkhIaXK0N6p3HC+P58vKKIaWGa8IyJ8KSwYX26M23w3vOdMK4/uT3aJ/Eyv2A7p//9Y866/xPO/8dsVmzZO6nVXvpnpTI2JzPk57pisxdXfJyRlpzAba8v4aMVRSHLyevZjaP9pljnHzCI7slNS9pc/61RzLz8QO44a/8OUftJRERkX6endIlIh6SndIl0XC8uWM8vnltISXl1/TAzuODAQVx39AgyUpvX8XE4Cwt38NbXmykqqWBIdncOGNyDP7y6hPeWFfHNEdl8tmY7JRV7YjlmbD/+dPq4iHEsKNjBL/6zkEUbigHvaWD/7+SxjGinJ2bd+spX3Pvuyvr3vzx+NOdOG8jT8wqYu3o7+b26cda0geRFaELVmJ27K3n0kzWs21HGieNzOHhY7yaXMXf1Nq54ZC4j+2cwZ9U2qmsd6cnxvH7tN+mftXdybHdFNZtLKhjQI5XEJjypTWRfp6d0iUhHpPqyIl2Mme0HjAFS6oY55x6JXUQisq85cUIOUwb1YNbSLazfUUZaUgIHDe3J+NysJj0S3TnHB8uLePurzazfWU5ej1SOHNOXg4b0ajDduNwsxuVm1b//5wcreW+ZV8vk3aVbmDa4J0nxcRhw/Pj+HDeuX6NJpwl5WTx95UEsXLeTODPG52a2a62S4KZO6SmJPDW3gN++uLh+2Oqtu/nr2fs3ufPjOs/MK+TPry8F4OWFG3n92sPom5HSyFwNTcnvyUs/PJSv1hfzif+EsfLqWqrDdOTULTmB/CbW7InG6qJSbn1lCaUV1dzwrVGM7cBPDWsPW0rKedDvv+rSQ4a0Wb9TIiKyb1PCR6QLMbPfANPxEj4vA98CPgCU8BGRJumflco50wa2qIyHPlrdIMEB8OCHq7j11HGcNTV82R8u39rg/exVe7oh+87B+VHXMEpLTuDAoORSezl9ci5rtu7i/WVFHDeuP98a149rZ85vMM1LX2zghm+NZkAzm5ntKKuqf11cXsXugFpQTZGTlUpOVip/On0Cc1ZtY/qobPJ6Nr/mUXO8+dVmXl20EYCXFq7v8gmfNxdvqq8hNqhXWouPRRER6ZyU8BHpWk4HJgCfO+cuNrO+wD9iHJOIdEFfrtvJ/3tp8V7DnYNfPb+IKfk9GZod+ilbSQnhmwrtK12/9M1I4Y+nT6Cqpra+6dOQ7DTe+nrPNCP7dierBY9tP2lCDh8uL2LR+mJ+fuyoFvetdPrkXE6fnNuiMiJZuqmEmppaRufsncwZ3qc7CXFGjXOMbKdmd7FUXVNLWVVN2E6v87O71/dtNaSV+swSEZHORwkfka6lzH88e7WZZQCbgSGxDkpEOofqmlp2VVSTkhRPckLkzMuHy4vCPt69sqaWD5cXhU34HDa8N698uXGv4Xk9Utk/L3Qnzh1VYD8350wbyPLNpbyzZAtDe6fxqxPGkNaC5lHD+6bz5OUHsquyOupHnMfKO19v5ruPzqO6tpa7ztmf48fnNBj/zZF9eOH736CyupaJeVmxCbKdlJZX8asXFvHm4k3cfOo4TpyQs9c0Bw3pxSvXHIoBg8McJyIiIkr4iHQtc80sC3gA7wldpcDsmEYkIvu80ooqXlywgf98Vsii9cXkZKVy+uRcTp6QE7JjX2+eyM2LSsvDjz9+Qg7z1u7gmXmF9cMyUhL4/SnjyGxBjZjGlFZUsaWkgv4ZqaQkNV6VaN32Mu55ZznzC3Zw7H59ueyQIXSLkMAZkt2dB74zhcLtu+nVPblJjzQPJzkxnuQ2rvZUW+t45OM1vLF4I2dOyePk/Qc0uYxPVm6lsqYWgM/Wbuf48Tl8vKKIbbsq+eaIbLqnJDI2RM2f9lZcVsmmYq/z8EhPq2uJgm27ee7zdYDXafaofukM7p1GQlAn2EOU6BERkUYo4SPShTjnrvJf3mtmrwIZzrkvYhmTiOzbdlVUc9N/FzdIvizfXMqtr3zNG4s3ctfZk8gJ0QdNuNo7dYb1CT8+IyWR35+yH9+emMPi9cWkpyZy6PDe5LbgiVaNeWPRRm59dQkrtpQyPjeT648d1ehTrx78YCVPzF4LwOINxWSnJ3POtEER50mIjyO/9751I7+yaBc3vbgIgM/W7uCbI7PJ6hb9k9reX7rF2z7dk6mureWIUX35cPkWLnhwNrUOrpsxgu8fObytwo9aSXkVVz/xOe8vK+KXx4/mskMbryC7u6KalxduwOKM48f1j6pj8Pze3bno4HwWrd/B8i2lzLj9Pa7/1iiu/ObQ1lgNERHpQvS8TJEuxswGmNnBwEAgy8wOi3VMIrLveuurTQ2SPYHmrdnBM58VhBx36IjejOwbOrGxf14mBw+L3JlyckI8hwzP5opvDuWcaQPbNNmzbFMJ33/yc1ZsKQXgi8Kd/Oip+WwpKY843+qtuxu837izos1ijKWeaUmM7p8OwIFDepIaRe2nQAvX7+T9ZUX0z0zmF8eN5hvDelNUWlnf5K+sqobrn/2Cyx6ew9cbi1s7/KgVlVTwvv90uDmrt0c1zzOfFXLdM1/wk6cX8IJfa6cxqUnx3HTSWP50+oT6Dso/Xl7UvKBFRKRLUw0fkS7EzP4AnAUsBmr8wQ54L2ZBicg+7Y3FmyKOf/ijNXRLjGdKfi8mDsyqH94rLZk7zt6f/9/efUfHVd1rH3+2eu/Nsopt2XLvso1tbDqmhd5JAiRAQgikkfImuTeV3BTSOwkdQgsh9A4GjLtxwb3LTbZk9S6NZr9/zFiozEijOvLo+1nLS5pz9jnnN6MjWfNol5+9sq31TbQknTMxXd8+f7xiwgduaFZPrT9YoUaHs9224upGfXy4UmdO8L7M+en5qXpne7EkKSTIaPaoxAGt01+SosN032cLtOtotaZmxXc7f1NH505MV1FFvXYX16jWPdTvjPFp+spZ43S8plGZCZH689I9kqQZ2Qma0MNJmyvqmrThYIXGpEQrJ7n3ExyPSonWTy6ZrNX7y9qtiuV0WjW2tCgytPOv1XVNLa2f1za3dNrfldzkaP3ssilavqdU1xRk97puAMDwReADDC+XShpvrQ3MPzMDGHR7j9d2ub+0tklvby/Rz1/boXuvmq5L28zvMnFEnB64aY42HKhQSU2jMuIiND07YcDmRumtRC/zAsV3s/z7dfNylBQTpkNl9ZqeHa/5eV0PATuZZSdGKbuXvaxCgoP02KoDslZaua9Mi/NTNSY1Rl87J1+StKekRmNSolVc3aBZuYlqbG6RMabL1dra+tGLW/Xc+sPKTY7Sk7ee4nVeqe4YY/SZ+aP0mfmjWrdV1jXpBy9s0bLdx/WTS6bo/Kkj2h1zxawsNTmcCjLSpdPbz210sKxOTmuV6yWEMsbo+nm5un5e18MAAQDwhsAHGF72SgqVROADoF+MS4vRliPeh9mkxoSrrLZJDqfVN/+9UZMyY5Wf/kkPjdDgIM0ZPbRX1jplTLJOHZusZe7hNZJ0xayRmp7V9STCocFBumha5xWW0F5sRIiyEyN1oKxemfERio1o/+tpXmqMnvvSQjW1OHWkol4X/nGZEqNC9asrp3U731GTo0Ur9rp6kBWW1qm4utFj4LOtqEqbD1dqYV6KwsOCVHi8VvkZsd32NNt+tFr/3XBEkvTipqJOgU9qbLju8jD/0PoD5frs/avU7LR68KY5AR0GAgD8h8AHGAaMMX+Ua+hWnaQNxpi31Sb0sdbe5a/aAJzczpmU3vqG15MJI2Jbh2w1t1i9u72kXeDjb80tTr20qah16NWZE9J00bQR7ZZLj40I1W+vmaHXNh9VYWmd8tNjtGRyRqdVk05Wjhan3tlerEZHi86akN7lSmIDITkmXP/4bIE+OlChGdkJSo3tPEzuxOpr//nooHYXu+ZS2nCwstvAJywkWD+4aLIeWr5Pi/LTNCmz871XXtekzz+8RkcqGnTpzExV1DZp6c7jum5ujv7v8qldnj8vLUanjEnS6n1lOmN8qq9PWbuLa1Td6BritfNYTcAEPk+uPqAHPtyna+dk6+aFo2XM0OqtBwDDDYEPMDysdX9cJ+kFfxYCILCcNTFdnzklR4+uPNBp3/j0WBVXte9QuHZ/ucJD9unsSekDOtGyr55ac0Df/++W1scvbjyimobmdsN2JCk1NqLTtkDx3PrD+ua/XQs2fmtJvr50hm8rYm06VKHnNxzWmJQYXTMnu08B2PiMOI33YW6eBXkpmjiiSHGRIZrZZk6orpw/dURrz5sPdx3XoysLNXVkvK6ek6XU2Ag5rVW9e66dukaHVrsnZH5n+zE1OSYprIs5iVJiwnX/jXNUWd+szG6GitU3teixlYU6Wtmgi6Zl6NZFY+RwOnXupHSfnsdQV13frHte3qbqRod+8vI2XTQtU2lx3ue4AgAMPAIfYBiw1j7sSztjzLPW2it6en5jzHmSfi8pWNI/rbU/77DfuPdfIFcvo5ustR/19DoAhp6I0GB994JJmp2bpOc3HNbmw1VKig5TWly4iiobWntjnFDX7NAPX9yqR1cU6k83zNLEEf7r7VPb5NDf39/Xaft9H+zT5bOzFB02PH5NOlj2yWpihaX1Ph/305e2toYjWYmROm18Wr/X1tHUrAQ9f8dCBQeZXs319MSaA3pty1G9tuWodpdU61tLJmhEQqT+8dkCbTpUodPyU7V4b5ne2nZMV8/O7jLsOSE6PETRPvSKem9nse55ZZskqd7Rop9d1nXvoZNNdHiILp6RqcdXHdBF0zJbe2UBAPxnePwmA8BXY3p6gDEmWNKfJZ0j6ZCkNcaYF6y1W9s0O1/SOPe/eZL+6v4IIABEhgXr0pkjdenMkXpsZaF+99ZO7ThW3amdMZKR6036nuO1uvf1HbrvswUDNknz/uO1amhu0ZjUGI8T/DY2t+hYZeel1Y9W1quhqWXYBD4XTBuhVfvLVFXfrCtmj+z+ALfINq9PqI8TKPvqYFmdlu4o0cQRMSoYldxuX9uv5fajVaprbNHMnIRuhw/tOlatCRmxemlTkSaOiNVHByp0sLxOIxIiVTAqSQWjXHNJ5aXF6tOn9H2iZGutXtpUpMLSOl02c6TiI0NljGStlBDZuzBk17Fq/ebNnYqPDNXXz8nvcQ+aExNI99dwxEZHi5ocTkWGBqu5xanvXzhJNy7I1ciEqB6v1rZmf5kOlNXpzPFpSozuekJ0AIBvhsdvMgB8ZXtxzFxJu621eyXJGPOkpEvkWvr9hEskPWKttZJWGmMSjDEjrLVFfa4YQJ+U1jbqvR0lem9HiY5WNSg3KUqnT0jTovwUxfZiafRzJ6Xrtc1HtWz38U77zp6Yrg92lbQ+fnt7sTYerNCs3J4tV26tlbVSkJegqLSmUb9/e5f+teqAHE6rBXnJ+u4FEzVlZPtJlpOiw3XZzJF6au3Bdtsvn5ml5JjwHtV0MpuQEacnbz1FTqsehW/fu3CiZucmanRytOaPSe7+ALfD5fXacLBcU0bGe12h6levb9cLG4sUHR6sV+5a5LHdxoPluvrvK9XocOpP183URdO9T5C94WC5rv/HKhlJ/3vRRBUer1NGQrgy4iPU6GjxGE4cLKvT7uJqzcpJVHxUzwOITYcqdNeT62WtVNPo0DeXjNcfrpmhRodTZ07s3TCut7YV69XNRyVJ8/OSddG0TP13wyEdKW/QJTMztfVIlY5VNWjJ5AxlxLcfYrZ2f5m+/Z+PlRAZql9eMU15aV3Pf9SdQ+V1uvuZjdpxtFqfmp6pd7YV61dXTevVfER7Smr06X+uUqPDqbvOHKuvnzu+T7UBAFwIfAD01UhJbd8tHVLn3jue2oyUROAD+NHekhp94+mNWn+wonXbqn1lenrdIZ0zMU33XDa1xz0I0uIi9LtrZ+jVj4v0n48Oq6SmUZkJkYoKDdby3cfV0Oxs1/5QRb3Pgc/xmkb9Z91hPb/xsKobmnXRtExdPmukxqbFtmv36MpCPbKisPXx8j2l+t5zH+v318zQvtJaJcWEa2pmvIKCjL54Wp6OVjXovZ2uIOq0can6wmk97ux40jPGKLiHHa3y02OVnx7bfcM2mhxOffPfG1VYWqfpWfEyRrpp4WjNGdV+pbZG933S7LBqcXr+W8SxqkY1OlztDld0PRRtb0mt6tzz9Ow4WqNfXDlN/3h/rxb/cqmumZOtn1wypV3Pocq6Zt368FptP1atmxeO0g8+NbnL8ze3OPXYikIdKKvVdXNzlJ8Rp5jwUMWEBau6sUWJUaF6ZMV+/ejFrZo6Ml6nT0hzP88WhYd67gnT0NyitYVlyoiLaL3HZ2THKzY8WInRYZqYEauVe0v1jadd8y8dqWjQE2tcc2ntKq7RTy+dqnWF5Xp8ZaHGpceotKZJe9xDLN/fVdJt4ON0Wq+hquSaj2vl3rLW6x2qqNf7O0t6Ffi0OJ1yWtfX2eHl6w0A6DkCHwBt9WZchadjOv625ksbGWNuk3SbJOXk5PSiFAC+anI49ZOXtrYLe9p6c1uxRibu1g8vntLjc6fEhOsz80epvqlFj64q1MaDFa1vzDuKCfdt2EdNY7P+37Ob9Oa24tZtf1m6Ry9vKtJDN8/V6FRXD5DG5hY9tabzBNIbD1XqBy9ubQ12rpiVpe9eMEGjU6P1zxsLtNW9tPykzLh2K3ShfzmcTu0pqdHYtBi94u6pYozpFPjcvWS8pmXFa/LIeI1J9RxMLBqXou9fOFFVDc26ZIb33j0NzS0qPF6rBWOSVdvk0OWzXMPW3thSpHMnpetgWZ3W7CvVwnGfrLJV3+zQvtJaSe3nOPJ2/sdWFuqnL7vm5wkODtL3L5ykvLQYPXnbfBVVNmjh2BT94PnNkqSPD1equKpBT689qAeX7deti0brU9NH6J5XtqustlHfv3CSJmXG67EVhfrpK9uUEh2mZ7+0QLnJ0Zqfl6J37j5DIcFGiVFhqi4sV5CRnFZKiQ1TfGSoKuubVVrdJEl6fGWh/rP+sCTpxxdPVnCQUXhIkCZnxnt+MnL1oLt/2T49tHy/bjl1tG5aOFr/XX9Y//nokE4fn6b3dhZrbGqMLp01UpkJESqqbNDY1Bg5Wlp05oTe9VzKT4/T/TfO0f7jtVoyJaNX5wAAdEbgAwwzxphISTnW2h0edn+7F6c8JCm7zeMsSR3XaPaljay190m6T5IKCgr4Ex/gg+YWp9YVlmvL4Uo1tziVGhehU8emKL2bnjlrC8v07o6SLts8vuqAbpiXq3E97MVxwuzcRP3s1e1e9+cmR6kgN8nr/raW7SptF/acUFhWp1c2H9EdbVaWiggJkdTYqa3D+Uno9OxHhzQ2LVq3nz5WocFBmp6d4FMdJ5vjNY168MN9Kq5q1BWzs3RKh6FXa/eXaXtRlRaMTfEarPQHR4tTRysblBQdpnuvmq61+0q1dn+5Gh1OjU7pPFxrXHqsxqXHqrS2Ud95dpOOVNTrW0vGa0pWQmubyLAQ3bKo+95Yu4tr9Pt3disyNFgZ8RGaMtI1UfgN83L11ac3SpKiwoLV4HDqLPdQq4z4SP3lhllaV1im86d6D5Mk6cPdx/XSpiKlxoarpLpRY9u8jpNHukIrSbpuXo6MMZoyMk6pMeH6zRs75XBa/frNnUqKDtPLHxdp0og4rdhdqkmZ8Sqqcs0vdby2SRX1zToxq1Bq7CfDDWfnJurhm+dqT0mNHly+XzOyEzQ+PUYXTst0v46uWkbERei08al6ZcypCg8J1igPr/kJpTVN+vmr2+VwWv3fq9t15oR0ffvZTWp0OJUcE64tR6r03s7jmp2bqCWT09XSYnXupDRtPVKl7/xnk3515fQeD9OUpMX5qVqc7/vS9gCA7hH4AMOIMeZTku6VFCZptDFmhqQfW2svliRr7Ru9OO0aSeOMMaMlHZZ0raTrO7R5QdKX3fP7zJNUyfw9QN+t3lem37+9Ux/uLm23PSEyRLedlqcb54/yunrQ+sLybs/f3GK14WBFrwOfGTmJ+vypo3T/sv2d9hkjfeOc8YrzcfLarUWVXvet3V/R+nl4aLCun5ete15pHzRNzozTzmPtVwx7YeMR3X76WJ+uf7J6dt0h/fndPZKkD/cc1+tfXazYCNdrvqu4Wp99YLXqmlyTHj956ylehxf1VovTatOhCi3bVaJfv7lLC/OS9ZtrZmjRuFSdPWmEjlbWa/5Y7/P/fFRYoSfXuEYEz8hOaBf4+CozIVKXzczUnpJaTR0Zryj3ZNOnjktVfnqMdh6rkTFGP35pq07LT22d0PisiemtAVBXUmLCtK2oShMyYvX1s8fp6oJsj+1m5iRqZo4rCHG0OHXnmWP1ysdFWjIlQ5HhwbpmdpZe33pMq/aX6cqCLN0wL0eRocEakxKtaSO998hZlJ+q93aWqLC0ToWldbpt8ejWAPPmhaM1MydRGfERXudL6ig+KlSXz8rS02sP6qrZWUqJCdOcUYkKDw3W8j3HlZkQqYLcRJXWNOnBD11DJ62M1h1w/UxZuqO4V4HPQHC0OPX61mOqa2zWeVNGtN77ADBcEPgAw8sP5ZpkeakkWWs3GGNG9eWE1lqHMebLkl6Xa1n2B6y1W4wxX3Tv/5ukV+Rakn23XMuy39yXawKQVu4p1eceXtM6L0lbFfUO/fK1HTpSUa/vXzhJER7exPs6T4ajpfed7YKDjO4+d7yyE6P04PL9Kix1DY1ZODZZN84fpXMn+z50I6aLFbMSo9u/ibtubo6aWqz+8f4eVTe26JyJaTpa1aiS6va9fqJCA//XoEbHJ/dHTYNDzjZf96p6R+v9s7ekRk0tzn4PfP61qlD/8/wWxUeG6pQxSfpwT6nWHyjXeVNGaGpWvKZmdQ4yiqsbVN/UotzkaOWnx2hiRqwOlNdpzqik1ufTkxWgDlfUa/nuUjmcVt+/cGLral4pseH67dUz9Ie3d2n1/jKdPj6tx6tXlVQ3qL7JqX/dMk8Op9WcUUldzntzwmubj+oP7+xWXkq03t1WrD+8vVufmj5C5XXNemPrMd1+vFYzcxJ19xLfJi8+LT9VL2w8omlZ8ZqQEde6PSI0uFOvru6EBgfpx5dM1hdPG6PMhEhFhAbr11fP0M9f3aZjVY06VtWoLyweo9iIEIUEGTmcVpNHxCorIVKV9U06Ja9n1xtI72wv1h2PfyRJqmls0c0LR/u5IgAYXIH/mw6AthzW2srulq7tKWvtK3KFOm23/a3N51bSHf16UWAYq2ls1v++sNlj2NPWYysPaO7oZF3sYfUiX//an5sS1asaT4gMC9FNC0fr8lkjdaCsXiHBRnmpMT2eJ+fUcakKfn2Hxwl8zxif1u5xTESo7jhjrG6Yl6Mmh1NV9c361J+XdTruspldD9UJBJfNzNKeklrtKanRXWeOa7fa1PSseP3gU5O0rrBcl8zIHJDeDxvcc0RV1jfLGKO4iJAuhxPtLq7WjQ+sUXF1g/56wyydPSlDT39hvsrrmrT5SKUu/8tyBRmjX101rV2w0ZXNhyp1zB32bS+q1tzRnwQSk0fG61vnTdDe4zWa7cPwwvomh3731i59fLhSd5yRpz+/u0fL95TqhlNydM+lU32qR5LWHyxXi9NqZ3GN5rsDkkkj4rT+QIUW5CVrbHrPhtctyk/V0m+errDgoHahVUNTi4KCTLsJqX0RERrcbohfelyEzp2coZc2FWlcWoymZSUoOylKz31poZocLZqVm6jzpo6Qw2mVMoRWuGs7jLPZwUhxAMMPgQ8wvGw2xlwvKdgYM07SXZKW+7kmAD20Yndpp+FJ3ryw4bAumjqiU6+DxeNSlBEXrqNVnee6OWHe6CTN7qehGXGRYZoysudLW58wKTNO9141Xd9xzyUiuYaF3X5ans6d7HnYTYI73EiLi9Bfbpite1/boS1FVYoJD9btp43VFbOzel1PfymuatDmw5WKiwzV7NxE9Xcgn50Upd9fO9PjvpDgIN28cPSA9nq4dMZIbThYobzUaF00LVNjL5zYZVCzr6S2dcWtLUeqdPakDIWGBOmeV7apqsGhLe7JtdfuL2t3nhan1etbjqqstkkXTs1QYvQnocOp+Sm6dEamHE6rxfmpemHDYa3aV6bzp4zQqeNSlJcW4/MS5VuPVOnv7++VJI1KjtL6AxWSpI8PeR9yeMLekhptOlSp2aMSdfH0kTpa2ahRKVHKSozU4nEpurogW58/dUyPw5kTojr0glu7v0zffGaTkqLD9KurpvV5jqbzp4zQsm8lKiosWLHuoZhte2gl9GLp+oF21sR0/fKKaappcuiyLib2BoBAReADDC93SvqeXLOZPiHXMKyf+LUiIIDUNDZr/YEKVdQ1KzjIKDc5qsvVcHprrQ/z75zw1rZiFZbWanSHN3tJMeH66aVT9KXH16uppfMKWglRofrmkvE9Gjoz0C6bOVLTs+K1cl+pmh1W07MT3Et7dx+SnDE+TaeMTtKBsjolRIYpPb5ny80PhMPl9brjX+u04aArLPjxxZP12QWjBuXapTWN2niwQjlJURrbyzmafLEoP1Wvf3Wxz0Ol5o1J0u2n5am0tlEXTB0hSaqqb9abW49pRnai8tNjFBEarLkdVvX6YFeJvuQeulNZ36w7zvhkbqbsxCj9zh16HSir09ee3qgWp9XKvaV642unKdiHIVgn5KZE65QxSVq7v1wL8lJ0xoR0Ld99XOd1WFnqQFmtwkOCWydPb2hq0VeeXK+PD1fpjPGpevDmufrzDbN8vm5vvLezRPtKa7WvtFar95X1y6TcQ+H7pifCQ4J19RzPcyoBwHBA4AMMI9baOrkCn+8ZY4IlRVtrG/xcFnDSK6lu1Isbj+jJNQfa9bwJMtLF0zN1yYxMndHL5Yo9aXB0PZSrc3vPS6KfPSlDD39ujp5cc1Avbjwip5VCg42uLsjW1QXZQ3LlqjGpMb1+4xoZFqLxPg4DGgzv7yxpDXsk6RevbdclM0cq3seJrHurvsmhu5/ZqHd3lCgxKlRP3HaKz8OjeqMn8+LERYbp2+dPaLctNTZcd587Xn96d7c+PS9HXz5zrOIiXb1JDpXXaV1huUKCjM6dlK7qRocamhxezx8bEaK81GjVNrZozqgkLd1RrDMnpPncsyolJlz33zhHNQ2O1vDjnEntv7ff3V6sLzy6TsnRYXro83M1Pj1WLdapijpXXRV1zXI6rU9z/fTFKaOT9XDEfiVEhQ7J72UAwMAj8AGGEWPMvyR9UVKLpHWS4o0xv7HW/sq/laE3jlU2aOnOEm0/WiWntcqMj9Tp41OH1Bva4eBQeZ2+/e9N+nBPaad9Tiv9d8MRPb/xiH5w0STduGBUvwzZSfAhEEiNCdeEEbFyOq1W7Dmu49WNmjM6qdMEzvPzUjQ/L0V3nTVONQ0OJUaFKSe5b/P2wDehwe3vhfDQIPVwaqNeKatt0rs7SiRJ5XXN2nmsZkADn74yxuj20/N0w7wcxUSEtuuR87//3aJ3dhRr2sg4BQUZbThYqdX7ynTdvFxlJkR2OldiVJj++dkCPbX2oP787h49tfagnrz1FM3rZmLjJodT/11/SKW1Tbp8VlaXPV22HKlUU4tTRVUN2ltco/HpsYoOD9UfrpuhVXvLtCg/ZcDDHklaOC5F79x9ukKDgwY8RAQADE0EPsDwMslaW2WMuUGuSZa/LVfwQ+BzEmlxWv173UH97JVtqqxv/5fsX76+QzfNz9UdZ4xTUszQm08h0NQ1OvS/z2/2GPa0Za30wxe3KjE6TJfMGOm13dHKBr2/q1iHyxtkJGUmRui0cWmd3lwuyEvR79/e7fEcocFGp+Wn6nBFvT7YdVySWuubkZ2gW04drQV5yapvdiomIqT1jWBePwz3CBS1jQ5tOlSh0OAgTctK8DqnytHKej23/rC2Ha3SqKRoXTJjpM9zwUiu+UXOm5Kh1zYfVXhIkH56yVTFhPf+jfmhsloVVzdqXEasYrs4T1pchG6cn6uHVxRq0ohYzczu/2GH/c0Y027CaUlyOq3K65okuYKrsyamacPBSs3IildcpPdfcXOSo3s8sfD7O4v1rWc/liQ1NDv1tXPyvbY9f8oI19DBqLDWCZml9suyD5ahNIEyAGDwGdfiOQCGA2PMFkkzJP1L0p+ste8ZYzZaa6f7t7LOCgoK7Nq1a/1dxpD06Ir9+p/nt3TZ5uJpmfrZ5VMUMwCr7uATb209qlseWedz+4kZsfr37QsUHd7+zWhVfbMeXrFf/3x/ryob2od48ZEhumXRGN04f5Ti3OGMo8WpLzy6Vm9vL2nXNtg9rOX1LUfVcTGriNAgzRudrKYWpz4qLFejw6m4yBDdMC9X501O1/TswX0jaq2Vw2l7vFrXQNt5rFrffGajNron4T1rYpruuXSKMuLb9xZpcjh1x7/W6c2txa3bJmTE6vFb5yk52vc32XWNDu0trVVseIjPK6d58lFhuW59ZK1Ka5t0wZQM/fzKaYrr4vu/oblFB8rqlBITrqTokzcc3ny4Ust2Hdfc0UkanRKtrUWVGpsWo/S4zr172qppaNbrW44pMTpUZ/ow3HLZrhJ9+v7VkqTvnDdeXzx9bDdHDA3V9c2qamjWyER67Q00Y8w6a22Bv+sAgLaG1m9ZAAba3yTtlxQt6X1jTK6kKr9WhB7ZW1Kjn7y0rdt2L2w6one2F3fbDn3z6uajPWq/7Wi1lu853m5bdWOzfvDCZv36jZ2dwh5Jqqx36Ndv7NQPXtii6sZmSa45Ub57wSRNyGg/2e4pY5L01rZjncKeqLBgLR6Xqvd3lWjFntLWVa6q6h3669I9uupvK/XKx0U9ei69dbSyXv94f68+9cdlWvSLd/XNZzbq/V0l3R84SB5ZUdga9kjS29uK9d/1hzu123y4sl3YI0nbj1Zr1d6yHl0vKjxEUzLj+xT2SNK7O4pVWuvq7fLK5qPaebS6y/YRocHKT489qcMeSZoyMl5fPD1P49JitHZ/mVJiwrsNeyQpJiJUV8zO8inskaSFY1P0wE0Fuveq6br+lNwe1bi7uEY3/GOlPnv/au073v3qeu9uP6aL/7RMv3trp5q8zL/li6OV9frsg6u16Jfv6tmPDvX6PACAkxeBDzBMGGOCJB2z1o601l5gXd37Dkg6w8+loQfe2V7scUUlT17YeEQtHd/5o9+U1TbqxY09D0k2Hmy/fPMzaw7pufVHuj3uufWH9ezaT9605aXF6L7PzNZdZ41rfdMebIyaWzp/zefnJeuNrcfkrVNvU4tTX3lyvdbu71lY0VNFFfX68r/W655XtmnzkSodrWrQM+sO6aYHVus/6/3/htTptHrXQ1C63UN40uzl+9Db9oGWnfRJyJEQFaq02JNrNSVPDpfX61+rCrXOh/vyL0t369ZH1+na+1aqsLS232sxxujMCem6cnZWlz2nPPlw93F9uKdU7+8q0co93T+XZz86rE2HKvW7t3Zpfx+ey+7iGq0/UCGnlbYdqdI/3t/j0/LxAIDAwRw+wDBhrXUaY74s6ek226wk78uZYMhZf6DC57ZvbSvW0coGjUzs/q/dw1Ftk0Nr95WptLZJQcYoMyFCM3MSfR5i1NDs9Dl8a6u+6ZMVtqrqm/TIiv0+H/voygO6YnaWYt1vOHOSo/X1c/L16VNytPtYte5+ZlOnY5Kjw3S0svvF+JpbrF7aVKSCDstd96f/bjjscUl5p5V++PwWLRiTogw/LvscFGQ0d3SSnuvQo8dT75tpWfGanZOgdW2+JzPiIjRvdNeT/w6US2aMlKxr2fHT8lMDYuLtX72+Xf/dcEQxYcG6Zk62clOi9el5uR4nPD5UXi/JNZdPeV1Tn3tM9afZOQnKTY5SiDGakZPQbfvF+al6dfNRnTc5Q5kJvf9+mJwZr0tmZOpAaa2W7T6u7UerlZ8eoxe/fKrCO0zeDgAITAQ+wPDypjHmbklPSWr9s6G1dmD/rI9+U9vFcsOeNLX0bPnu4aCspknPbzysJ1cf0I5j7YdXzB+TrKsKsnTB1BGdVrPqKDI0SOEhQa3Do3wVFf7JeVftK9f+0jqfj91TUqPV+8p01sT2w1DSYiMUZIyKqxs7HTNhRKw+3N31pNInPLH6gG5bPMbj6kZ91eho0TNrvffiqWpwaMWe47psVla/X7snblyQqxV7SnW0yhWSTRoRq0tnZnZqFxkWol9cOU2PrijUOzuKNWdUkj5zSq7fAqvwkGBdPSfHL9fub0t3FOvZjw4pOixEcREhqm9u0daiat3/4X7NH5OscemxnY65ZdEYJUWHacKIOE0bmTD4RXdhSlaCXr7rVBlJ0T5Myn11QbZOz09VXGRotz+HupIYHabfXTND9Y0O3fyIa0682IjQPq8QVt/UosdWFqqkulHXz8vWqBQmfAeAoYrABxhePuf+eEebbVbSGD/Ugl7I6kFvnfjIECVEntzzc/S3o5X1+s6zH2vpTs9zxqzYW6oVe0u18WCFvn3eBEWFe/9vMjE6XJfMGKmn1x70+fpBRpoyMk7vbi9Wk8OpA2V1ykuN0Z6S7uf1OOF4TedQR5LCQ4IUFR6sqg4rt/VkVF+jw6mKuqYBCXyamp0q8RBItVXT6P8OhzOyE/X8HQu1en+ZQoON5o1JVmKU5++jsWmx+tElU/SjQa4xkDlanPrhC1tag9BvLclXdWOL7nt/r6ZlxXtddWp6doKmZyf0Sw0tTqsthyuVGhuuEf30vdDT1dfS4vonODTGKCoiVL+8fJrWHSjXzJyEPk+U/sGuEt3zimsuuaAg6TvnT+yPUgEAA4DABxhGrLWj/V0D+mbxuFQ9tvKAT20/c8ooJZ4EE7KW1Tbp/Z0l2nSoQg2OFkWFBmtmTqJOHZuq+Kj+W2WsoblFP3pxq9ewp62HVxQqOSZMd53lfellSVoyJd2nwMcYaWFeisJDgvTVJzeqvvmTnleZ8RFaPC5FpbVN2nKk+znUg43nv87HRoTq0hkj9ciKwm7P0ZWBGuoRExGiBWOT9fqWY17bjBoiw3DS4yP0qemde/Vg4IUEB2nKyHjtL61TWmyYPjU9U0nR4TpjfJpykyMH5WfaIyv260cvblV2YqQev2Wecny8L2sam3Xv6zu1fM9x3X3ueJ07OWOAK/Vdbkq0clP65/srOTpMIUFGDqdVWizLvgPAUEbgAwwjxpgoSV+XlGOtvc0YM07SeGvtS34ubdA0tzi1el+Z3tlerO1FVYoMC9a8MUk6a0K6xqQO/W7pC8Yma0Z2vDYc7HrizfCQIJ03Zei82fCkucWpp9cc1B/f2aWjVR17fuxXTlKU7jprrC6fmdXnIQiStHJvaY9W1frTO3v0qWmZGt3FfbFgTLKWTE7vMsQIMtK5kzP07vZij8O/jlQ26Ehlg7KTIlWQm+hxjpu2urpPl0xO7xT4lNU0KS023ONwr45Oy08dsNDFGKPLZ2Z5fa0Wjk3WnNHt5w8qr2tScVWjUmPClOSlZwdODtuLqtRirSZnxnfb9oefmqzzp2RobFqsspNc9+Pc0QM3t1RHmw+7fr4eLK/XgbI6nwOfDQcq9NDy/ZJck0gPpcCnP80elaSnvzBfZXVNOnVsir/LAQB0gcAHGF4elLRO0gL340OSnpE0LAKf+iaHfv3GDv1z2f5229/aVqzfvbVLf7puls6YkOaf4nwUEx6q/7t8mu58Yr12F3seBhQeEqQ/XDtTU0Z2/8bKX1qcVn95d49++9ZOr20OlNXp7mc2qbreoZtP7XvntNe39GwJ9aYWp97ZXqzPdxGwRIaF6IefmqxGh1NLd3juObQ4P1XvbOt+dbWDZfUyMpqQEetxVShJum5OltJiw3Wkol5J0WGd5veYNzpZt5+ep78u3dO6bcexap2Wn6ri6u57Nl02c6SC+yFc8+acSen60cWTdM/L29u9HvNGJ+rHF09pfT4NzS3616oD+vv7e3SsqlHJ0WG6dfEYfeaUXEV3McwOQ9ObW4/q9sc+ktNa/en6Wbpg6ogu26fEhuvCaf7rYXV1QbbKaps1OTNWs3ISfT4uOylKIxMidbiiXgvyAjsImZXr++sCAPAfY72t0Qog4Bhj1lprC4wx6621M93bNlprp/u7to4KCgrs2rVr+/Wc//xgr3768jav+yPDgvTMFxYM6aDkhMLjtXph42E9uvJAa8+NsOAgXTMnW5fMyBywlZYq65r1we4SrdlXptqmFkWEBGladoJOH5/ao2WgX/24SLc//pFPbY2RHrppjk4b3/swrry2SQt+/k67oVS+OGtCmu6/aU637cpqmvTy5iN6es1BfXz4k2FZCZEhmjAiTiv3+j4v+qJxKfpg1/HWx8ZIp4xOVkiw0b6SWh2qcK1GNHVknK4uyNaZE9I0MvGTFZnqm1r0yIr9+t1bu1qf75iUaEWGBXc5ZOyz83P13QsmKiI0WM0tTn1UWK5NhyvkaLEakxqjBXnJrauD9dXekhqt3Fuq2sYWjUuL0SljkhUR9kl4df8He/UTD9+r3zgnX3eeNa5fasDguff1HfrTu7slSbctHqPvXhAYc75Ya9XgaFFk6Cch5MGyWhVVNGhqVoIiw1gJazgxxqyz1hb4uw4AaIs/kwHDS5MxJlKuiZpljMmT1P04jwBQWtOo+97f22Wb+ianXttcdFIEPrkp0brzrHzdMC9X+0tr5XBK6XHhA7oU8SsfH9HPX92hA2UdVpVadUCJUaH6+jnjde3c7G4nBG1xWv17nffVmjqyVnpxU1GfAp8GR0uPwx5JOlbd/XLmkpQUE6bPnDJKV83K1oZDFaqoa1JIsJGx0ucfWdejax4qr1dWYqQOldcrOMjonEnpWrqjWA3N7XsIfXy4Sh8f3qK/LN2jP1w7s3U4VGRYsL5wWp4unDZC7+4o1r6SWtfM7MnRKqpq0JNrDqqstqn1PDlJUfrcwlG6Zk62IkKDteNYlf7v5e2d5jrKS43RDz41SYvzU3v0fDwZkxrjdWhaWU2j/vreHo/7/v7+Hl05O6vfJtJF/yuualB0eEi7nlhnTEjTc+sPq7nFqbOGeC9KX9U0NOvHL23VO9uLdc+lU7XEPYQ2Oym6dRgaAAD+RuADDC8/lPSapGxjzOOSFkq6yZ8FDZaPDlT4NIfJ02sP6UtnjFVU2Mnx4zEpJnxQ5jb57/rD+trTG+StU2h5XbP+5/nNqqxv0pdOH9vlnDsbD1bo7e3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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "BIOBLP_MODEL_ID = BIOBLP_D_old\n", + "ROTATE_MODEL_ID = ROTATE\n", + "METRIC_TO_PLOT = INVERSE_HARMONIC_MEAN_RANK\n", + "\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpd_old,\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_by_node_degree_dicts_rotate_disease_src,\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=METRIC_TO_PLOT) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "ee4a635c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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degreehits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatecountarithmetic_mean_rankadjusted_arithmetic_mean_rankinverse_harmonic_mean_rank_bioblphits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
0148.00.1034480.2413790.3103450.4137930.20484229546.2619020.0103060.0762150.0476190.0476190.0714290.14285740.0558290.1937600.2389160.2709360.128627
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" + ], + "text/plain": [ + " degree hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 148.0 0.103448 0.241379 0.310345 \n", + "1 4.0 0.073016 0.082540 0.095238 \n", + "2 2.0 0.039648 0.048458 0.052863 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate count \\\n", + "0 0.413793 0.204842 29 \n", + "1 0.098413 0.083203 315 \n", + "2 0.057269 0.046961 227 \n", + "\n", + " arithmetic_mean_rank adjusted_arithmetic_mean_rank \\\n", + "0 546.261902 0.010306 \n", + "1 601.184204 0.011342 \n", + "2 751.289856 0.014175 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp hits_at_1_bioblp hits_at_3_bioblp \\\n", + "0 0.076215 0.047619 0.047619 \n", + "1 0.089921 0.052632 0.098684 \n", + "2 0.040792 0.007246 0.050725 \n", + "\n", + " hits_at_5_bioblp hits_at_10_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.071429 0.142857 4 0.055829 0.193760 \n", + "1 0.105263 0.164474 254 0.020384 -0.016145 \n", + "2 0.072464 0.108696 189 0.032401 -0.002266 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.238916 0.270936 0.128627 \n", + "1 -0.010025 -0.066061 -0.006718 \n", + "2 -0.019600 -0.051427 0.006169 " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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aWXKYdQWvZleXgHnj8RN9AXIDxsfhnU82EtnxHW7eGqPxmivuwzk3NmB7vB9ikuVesRZ4I/l3vGYew/3P4ybq7j/hzlWbgP7+MbpP7FH0FN45+lRgqZ8EgsjOb8Hnytedc8fgJYW+wmvyVFPW/wsqK9U591Ez4r7NX/4Ef7teyL7HZdTOlXj7eCV1Ey+RWI/X4W5LaWifb2j/a6rgbRvJ51GfnXhNmP5lZgdHOE8P/3xYYwB1j+UakZxDA4+tcOU0NO2mEOOA2qfn1Zw7xhJaAt51Rk0SZT/gfudcsZ+kug+vFik0cJ4078mqL+A1n/0scCHOuXudc8Odc33wzjcJwJf1rG/gvP/nnJuM15RzBPCTgNFhz50i0nEo4SPScb2C10a+RhreDXmBmWXi3czV8mt+PIf3qM5MvKrIOOeq8PpCuMWviTAKr1+CqPIvcLYBDwKvO+cK/FHzgELzOvNM9WtwjDOzqeHKMrMLzay3XxugppwqvF/aTjGz4/xyUszrSLHBjibrkYbXF8R2vIu5W5tRVijPACeZ2VFmloiXHCgDGnvjNQ/v4vZ2M+vqr3ukF+kN8rf1P4C/mFkf8JIGZnacP0m9+18URePz2IhXjf77ZnZtE+Z/ErjMzCb6iZJbgbnOuTX++C14/XYExlzftgme/mVghJldZGaJ/t9UC+jMO8gr/vTnm9fJ7zl4fXG9HKp8P2HxMF6ziivw9pvAxyUHx/MNXsfKJ/n76M/x+t0INNnMTvcTjj/A+4w+IbLjO9y8+Nt3Mv75qrH8mkz/Y99zZSGw2z/fXRM0T7hz1cd455nv+tv5VLy+oqJtFl7Tk2vYm5iHRp7fzOsofqZ/M10G7PbjB+9G9Wfmd3huZt3N7Kxmxp3mL6PAT7D9pIHpG+sp4IdmNtjMuuEdd083oVbjE3gdT5/tf449/R9CoqWhfb7e/S+Kmv15OOfexatd+IKZTY9wtl+bWZJ5Ne5OxqsVE6yhcyjAT8zr8D4Xr9+sp+tZZrhpn8E7z+eY96CEG+sL3D8PjTSvg/DeeE3aPvNr+4DX9+GV/ueailcDqiahEvY86Z/bnsfrn+vpoGWm+PuHmdkA4AHgbufczvpi9eedambT/eUV4/WBVRUwyWF4zTdFpANTwkek43oU7ykWqf77u/Daf+fj3Sy9FmKeJ/FqRjwbdJH8XbzaEpvxHl/8FN4NQrQ95S+/9ibGTzidgtevyWq8+B/04wnneGCJeU1a7sbrp6HUObce71fxm/Bu2NbjXeQ251z4KF416w14j2z9pBll7cM59zXeL69/xVv3U4BTnPe0jsaUU7Mdh+H1QZKH15wjmm7A6zT1E/OaCPwPr+YKRLb/RUNUPg/n3Dq8pM8NZnZlI+d9C6/vpefxkiVDgXMDJrkFeMS85hxn0/C2uRuvRslOM/s/51wR3g3/uXjJqc14NdmCkyw18WzHu7H6MV4i7KfAyc65/FDlA9/Ha17yC7950mV4N181TaJuA37ux3+935zjWrzjcgPejUVwc4PZePvbTrw+hU53zlVEeHyHnNcfNxN419V9ck5j3e+XW+N6vJpiRXhJzFA3kqHOVeV4naBegZdovhAvqRbVc6XzHqf8MXBQYGxNOL/F4e0TG/GabB2G9zninHsBb5+a5R/LX+I9+bE5fo3XCe8u4L94PyRE0z/xvp/m4O1LpXh96TSKf+yfiLdtduB1JL1ftIKMYJ+PZP+Lhqh8Hs65N/HOEf8xs8kNTL4Z7zjeiJdYu9o591WIMhs6h4J3XliI9/n8Fy9BHU64af+B18/VYryOpxvaBv3xzs9FeP2bVQOnBYy/HK9WaR7euXAIXp86NHCezMHr0+wHFtAk10/wpOCdZ3bjJQs/xts2kUj313En3vfiduAOADPLwkv8vxhhWSLSTtU8ZUJEOiAzuxXY6py7K8rl/gHo55y7JJrliog0hpnNxetcOKLmDfWU8wHwveCmFM3lx3efc+5f0SxXRCJjZg6vedyKBifuAMzscrzOto9sYLo7gZXOub+1TmQiEitK+IhIg/xq5Ul4v2hNxWsicqVz7sVYxiUi0paY2WHA13i1Ni7Aaxo1xK+VIyKtrBMmfO4EMpxzV8Q6FhFpG9SkS0QikYZX1bkYr837nXhPpjg0qPpx8NOB2o1w62Ghn+zTYZjZfWHW+75YxwZgZheEiW+fp6a0YAwdZj+XFjcSr3nILrwmQWc65zaZ2U1h9qF21X9GZz4WrO4T3wL/Loh1bNA2zuUdZT9vr8zsRbwm7XfGOBQRaUNUw0dEREREREREpINRDR8RERERERERkQ6mRRI+ZvaqmV0S8P53ZpZvZpv996eZ2Xq/muf+LRFDSzMzZ2bDWngZD5vZ76JYXovHHGEch5tZ8BNcwk17i5k93oRlLDGzwxs7nz/vbjMb0vCUbZuZvdvYpwu1BX6Tga9jHUd7Eu1juzHHaFsTeN5szr7kN4+I9EkoTWJmZ5nZajNr8PG6zVhGi6+HtA/NuaYIntfMFpvZJjP7YfQijDiWsWb2mZkVmtmBLbysQf75NaEll9PS2tv1gJm9ZGbbzOxPrbzcS83rwL3NM7N+ZvaBeU9LjPYTN2uWoesxAZp3XRg8r5n91Lyngr5uZl2iF2WDcUTtfN7erpMbnfDxN1Sxf1O83czeCj7ROOdOcM494k+fi9eOfYxzrp8/yR3Ad51z3aL9RIy2xMweMLNvx2jZ7erLPdqcc2Odc+82cd5uzrlVUQ5JIuSce985N7LhKUXqF+m+FOoi3zl3tXPuty0XHQA3Anc753pEo7CG1iNaFyjt6aaoKUJdFHb0dW4s59x+wFXAr2Kw+MuBVXgd034cg+V3Sq35o6Fz7hTgCOB6M8tojWVGk5l9Zd7TsoKHX2dmC6K0mLOARKCPc+7paBQY/BkHf4ea2RozOzray+loQt2DdfR1bgzn3B+BHGAUcGyMw+kUmlrDZz/nXDe8zgkfBu4xs3Bf+gOB7c65rUHDmtThZjv7leV4vKcZidSrre/XZhYf6xg6qrb+2cdSJ9g2mUCzHicubUcnPE9+CXSPwXpnAsucc9WtvFxpRc65mnNjz5gG0jSPABeHGH6RPy4aMoHlzrnyKJUnMdQJrnfqcM4VA6tpn8d3i2mp/aBZTbqcc/nOuceAa4CfmVlP2JvZ9LPAbwLZfo2gp8x7kkM8sNjMVvrTZ5vZ8371zdVm9v2aZZjXpOc5M3vczAqBS82su5k95Fcn3mBek7F4f/pL/SqOd/jVxVab2QkB5WWa2b/MbKM//sWAcSeb2SK/euRHZjahgU1wopmtMq+52p/MrHZ7+vMWOOfyzGytmU32h1/oZ3nH+O+vDIwhhF5m9qaZFZnZe2Y2MGAZB5nZfDPb5f8/yB/+e+BQvETcbjO7J6C8o81sub/u95qZhVqov92f9bd7kZl9YWYjzOxnZrbVvCZ5xwZMn21m/zGzHWa2wsyuChiXal518J1mthTvsd4EzRvy8w+aLsWPZ7v/Gc03s75hpq39FcJfl2fM7FF/XZaY2ZRwGzwwC+/Hfa+Z/defd66ZDfXH3WdmdwTNO9vMftTQeoXZr6eZ2QLzqqlvMbM/B0x/gL9PFphXlf7wcPEHGWhmH/qxv2FmvQLKfNbMNvv7zxwzGxsw7mEz+7uZvWJmxcAR/jb9iZl9bl4tv4fMrK95TTiLzOx/ZtYjoIyZ/rYuMO+cMDro87neL2uXmT1tZin+uOCqn7lm9m9/O24P2p9DfX6X+uv8F3/Zq8w7Vi7199utVrfJabJ554t1/na/z8xS/XE9zOxlf9k7/dc5AfO+a2a/DbeNw8RXU3vgCjNbB7wd4ecRcj8MUf4h/noeEWLcI2b2Y/91fz+Oa/33w8w7fi1g+h/722uTmV0W4TY73Mzy6pn3YX/6cOc1Z2bfMbPlwHJ/WNhzs5ntb2af+mU9DaQEjGtwX/L3y/uAA807XxYExPm7wHLqWaee5jVBKDTvvPQ7i6w2SAKwz02rmV1uZstsb5Xn4O1ztQWdxxtaDzPrCrzK3u/j3eado/aY/93tTz/Z3z6JoQIOtRwzm+rvB4E1Ys4ws0X+65rz3dP+5/Spme0XMG1E3wEB06eYWYn5x5qZ/dzMKs0s3X//OzO7q4EyTrK9zYLWm9ktAaPn+P8L/HU8sJ5tW+c8Wc/ymnPMpJrZneZdS+wy7xqnZt76zrNhjw1/fJOOqwA1+269F6j1bWtrxPd6gHDHTcjvSTM714JqVZjZD83sPw3FFymr/xqoUdcgAfOF/Z70x1/lL2uHv+zsgHHHmFfLZJd535kWVHbYc0yYWGqOicX+MXCOmX1pZqcETJNo3vXwRNv7Pfdt8663N5n/3eNPG2dmN5rZSv+zf8bMMkMs2tHw/lXv9jWz0f6xUeCPmxkwrqe/7QrNbB4wNKjsUeZ9V+0ws6/N7Oz6YgnwGHCI1T13jwYmAE/57y817/qkyLzzXmOf9hbuOAgbs9V/TRvqM679DjWzx4ABwEv++J/65XwvaPmfm9m3wgUdw30pMIZHrBHXQiHm72Fhrg0txD1YfdvWzG4wr8uTfzUQc33n64bOFaf68xb62+l4f3iL3Ls1NG+Aaho+vhv6fuxu3rG/zbzvyJ+bfz9uZvHmfe/mm9kq4KSgssPmE0LE0dzt8Yg/7zL/2Am8Nl3j7wefA8VmlmD13Pc1Ju5azrlG/eGdfIcFDUsEKoET/PfvAlf6rw8H8sKVgZd0Wgj8EkgChuBV1T3OH38LUAF8y582FXgRuB/oCvQB5gH/z5/+Un/6q/ASS9cAG6H2iWT/BZ4GevhxH+YPnwRsBab7810CrAGS69kO7+Bl2AcA39Sssz/+RuA2//WjwI/91w8AK4FrAsb9MMwyHgaKgBlAMnA38IE/LhPYifdrQQJwnv++Z/BnEBTzy0CGH/M24Pgwy74FKAWO88t/FC8Te7O/3a4CVgdM/x7wN7yLwol+2Uf5424H3vdjzsX7VTCvEZ//4/7r/we8BHTxP6PJQHqY+NcARwety4n+fLcBn0Syj/ufwQ5gmr8dngBm+eNmAOvZu2/1AEqA7AjXK3i//hi4yB/fDTjAf90f2O7HHwcc47/v3cCx+i7evjbCL/9d4PaA8ZfjPW49GbgLWBS07+0CDvaXmeJv00+Avn5MW4FPgf39Mt4GfuXPPwLvEe7H4O0vPwVWAEkBn888f1tlAsuAq4PPGf7ntRj4C97xngIc0sB6X4p3PrrMn/93wDrgXj/OY/GOq27+9HcB//HjSMPbx2qO3Z7AGXj7XBrwLPBipNs4THyD8PaxR/11So3w8wi5Hwbus3jH63pgWphlXw685L8+34/96YBxswM+g0rgN/7ndyKwB+gRwTZraN6HCXNeC1iXN/2yU6nn3Ix3bK0Ffugv60y84+p3jdmX8PaZD4K21cNB5dS3TrP8vy7AGP8z+CDcPuDPM96PNfj79Ft4x8po/7P+OfBRJOfxCNcj+Pv4FfzvI//9X4C/RnCMBS9nKf41gP/+BfZ+793ir+uZ/va7Hu/7JJEGzpX1xDAHOMN//QbevnxCwLjTGpj/cP8ziMO7CdsCfCvoGE1oYJ0fJug8Wc/y7qLpx8y9eOeW/nj78UF4+3/Y8ywNHxtNPq4C1ikV77v15GZs64i/1/3pa74vgq9vwn5P+mUXAcMDpp8PnNuUfSFMXPVdA91CI65BAspcQ/jvySOBfP9zTAb+Cszxx/UCCtl7vP0Qb/+quS7/FvWcY+qJp871v7+/PR3w/lTgi6Dt9hTe+Xa8v01qrst+gHc9kePHfz/wVIhlrgW+g3+dFSausNvXX/8VwE14+/WR/r4w0h8/C3jGj3EcsIG919ld8c7ll/nbaZK/zcc2tK38+d8Efh7w/jb86we/7MKAOLIiLdefvgveNVfwMVlvzER4LRF07OYFvF9T8xn6788G5ga83w/vuEtqa/tS0PIjuhaqZ/5Irg1D3YMFb9tK4A9+3Kn1LK/ee1TqP1dMw/ueOgbvHNcfGBXBeas5925h5w1ar0eAJ+vbX2j4+/FRYLb/OQzCux+/wh93NfCVH0Mm3n177fmcevIJIeJo7vZ4D+8+MQf4nH2Pq0V+uak0cN/XmLhrlxHpySXcDhswfDNwQfCOTsMJn+nAuqDxPwP+5b++Bf9LzH/fFygj4MDAS3a847++FFgRdFJ0QD+8E2p1zU4StMy/A78NGvY1fkIozHY4PuD9tcBbAe/fBw71X18B/Md/vQy4kr1Jg7XApDDLeJi6J+JuQJW/Q1wEzAua/mPg0gZONocEvH8GuDHMsm8B3gx4fwqwG4j336f55WX48VQBaQHT3wY87L9eFbStvs3egySSz78m4XM58BEwIYL9dA11Ez7/Cxg3BiiJZB/3P4MHA8adCHzlvza8RMIM//1VwNtN2a/9YXOAXwO9gobfADwWNOx14JIGtsG71L3YuBZ4Lcy0Gf56dw9Y70dDbNMLAt4/D/w94P332Hsx8wvgmYBxcXgXUocHlHVhwPg/Avf5rw8P2D8OxPsCqvdiOyjOS/GqOde8H++vW9+AYdvxvtwM74ZpaMC4AwlIZgaVPRHY2ZRtHDDNID+eIfVME+rzCLkfBuyzP8M7n4yvp9yhQIH/edyHd7NVs60fAX4U8BmUUPeGdytwQEPbrL55A9Yl5HktYF2ODBgf9tyMlzSqTej74z4idMIn7L5EZImScNsjHu9meGTAuN8FlxdU9nP+et4ZYtyr+BcrAcfOHmBgwPYJeR6PcD2Cv4/PAT70X8fjfZeHTBg2sL1uAJ7wX2f6MWf5728h4AbXX6dNeL+C1nuurCeG3wL/h3fTshm4Du+iKsX/rHrVN3+I8u4C/hJ0jEaS8Hk0grKbfMz426oEryl9cLlhz7M0fGw0+bgKmud7eNdVi5q4rRvzvf49/3P5BEgMsf+F/Z4EHgd+6b8ejnfT36Up+0KI6Ru6BrqFRlyDBEy3hvDfkw8BfwwY1w3vPDQIrylR4PFmQB57r8vrPcfUE0/ttZH/Ptvfjun+++eAnwZtt1FB8T/kv16Gf2Ppv8/y408IWuZpQDlejflwcYXdvnjnmM1AXMD4p/x5as7dgTHeyt6EzznA+0HLuh//h60IPr8Lga8DtvE6/EQ03o1aAV7SIOyNfphyZ/r72wqC7mcaipnIriUak/BJxksgDfff3wH8LYJ1aPV9KWj5EV0LNeIzmci+14aRJHzKqeeHgoBp671Hpf5zxf3457Og+Vvy3i3svCE+h83+5zUlzLofTv3XX2V4/QTXjPt/wLv+67fxE1/++2PZW2uw3nxCiDiauz2OCxh3JfseV5cHvA/7fdbYuGv+mtWkq4Z5Vb974x30jTUQr4p5Qc0fXiY+sErv+qDpE4FNAdPfj5fhqrG55oVzbo//shvezr3DObczTBw/DoojF+8kFE5gXGtrpjWvg7lReBcx4GX1DjWzfng759PAwWY2COiOl9VrcBnOud142zjb/1sbNO1avKxgfTYHvN6Dt13C2RLwugTId85VBbzHnz8bb7sWhYklm323VY1IPv8aj+Ht8LPMq9b5RwvT7CCE4PVOscjbSYbcZs47ymbhHWjg/UrwhP+6sfs1eInBEcBX5lVrPzmgrLOCyjoE70utSbH71Rxv96t2FuKdbMD7ZTBcfLDvPhH8vmZ/qrN/Oq+vhfXU3T8j2RdzgbXOucoQ4+oTHBfOuVCx1vz6uzBg277mD8fMupjZ/X410UK8pFxGUNXJxhxTgWq3b4SfR0PL+QHezd8X4RbonFuJl7idiHch/DKw0cxG4t3ovRcw+fag7V6zzHq3WQPz1gh3XttnPPWfm7OBDf6xWCP4vFijqftSjfq2R0JQzKGOnVrOuTPxaoV8z/9eCDQQuDtgXXfg3bA19tiJ1GxgjHlPJjwG2OWcm9eEch4HTjGzbni/+r7vnNsUMD7wM6/GuwHNpnHfAYHew7sQnAR8gfdr+mF4F4ErnHP59c1sZtPN7B2/+vUuvF8C622OGUa9n7WvOcdML7wk1soQ5dZ3nm3o2Gj2ceV/h/4a7weosE9cbWBbR/y97pz7K973Xj+8GgCBGvqefJK639Uv1lwfRmFfaOgaCJp+DRLuWA/+7Hfj/ZBR89kHHm+Ofc+pDZ1jGuSc2wh8CJzhX/eewN5roBohr5P9GF4IiGEZ3s1n8HH/a7zkTL1NdAi/fbOB9a5uf081n02oc3fwMTI9aJ+6AG//i8S/gSwzOwDvXNUFr5UBzuu/5By8fW2TeU2jRkVSqHOupqbgdrzrxkCRxBy17w/nXBnejw4XmteM5jy8Y7qx5bTGvhS4vMZcC+0jwmvDSGxzzpVGMF0k96jhPtdcwn9/tNS9W33zBroOr7ZlunOuvs7M6/t+rKmR2pR1aCifECia2yPUdUPwOTrc91lj4wYaaDfXCKfiVbdqykXierxfuYbXM03gRcd6vMxWryZcuK8HMs0swzlXEGLc751zv29Eebns7Xx6AN4vYuA1q3irJjninFthZnuA7+PV6igyr73mt/F+Saiv48Hcmhf+hXSmv5yNeB96oAF4F5FQd5u1tI142zUt4MQxAO+XRvB+yQ3eVjUi+fwBcM5V4H35/9pPlr2Cl+F+qNlr0HRPAW+Y2e14Gd7T/OGN3a9xzi0HzvO/NE8HnjOvb431eJneq0KU0VTn4x23R+MlF7rjNQkMbLPcnH1oI17NGgDMzPD2gQ1h5whtPTDAzBKacaNen3y85M9Y51yo2H6M1zn9dOfcZjObCHxGUH8ITRS4fSP5PBpyFvCQmW1wzt1Vz3Tv4VX1T3LObTCz9/B+Ee5B/cnnGg1ts0iEO6/VCD7nhzw3m9lhQH8zs4Cb0wGEvripb19qzr6+De/7LwevKjEErF84zrmPzGw7XpI38EKtZn2DL3Yj0dB67DPeOVdqZs/g3RSMIrKL9VDlbDCzj/HOgRfh/SIZKPAzj8PbXhvxtl1E3wFBPsI7Nk8D3nPOLTWzAXht9Ou9WPc9CdyD1wys1Lw+f2pu8kNtx3DbNpJ9pznHTD5ec5WheE0SA9V3nnXUf2xE47jqi3feeDEoORQs7LZu7Pe6fx7+GK8WR6CGviffwOsTcSLeTekPI4kvQg1dA7WEOteA5vXR1dNfZs01V804o+45qTnnmGCP4P1anQB8HGL/zsVrUgF1r5PX4/2i/WED5Y/Ga17T1A66NwK5ZhYXUEZNNww15+7gGGusxzu3HNOUBTvn9pjZc3jfr6l4NVvLA8a/DrxuXn9cvwP+gZd8iKTsXWb2NqGPgybHHMmiQwx7BO974wNgj2v6k/Nael8K1pxroYauDSO9poh0uqbcowbOOzTE8Ja8d6tv3kCj8b4/SsKMb0g+Xu2ggXjNymuWFbwOBIyr0dh8QnO3R05AjKGuEYOve0N+n5lZViPjBprZabN5HSBfgNe+/A/Oue1NKGYeUGheZ0Wp5v3SPc7MQnbw5P9i+AZwp5mlm9dZ11D/AqVe/ryvAn8zr8OtRDOb4Y/+B3C1/0uPmVlX8zryS6unyJ/45eTiZSlrHot4Evs+nes94LvsvRB9N+h9OCea1wlrEl4V9rnOufV++SPM7HzzOnc6B+/E/7I/3xa8NoQtzo/nI+A28zpgnID3q0PNxcQzeJ169zCvU7PADt4i/vzN7AgzG+9n0AvxDvKq4Olak3PuM7yLhgeB1wMSiY3arwHM69C7t39RUlNOFXt/OT/OLyfFzA63gM6DmyAN74SxHe9Xp1ubUVYozwAnmdlR5v1a+2N/eR/VP9s+5uGdKG/3j8kUMzs4WkH62/ofwF/MrA/UduB3nD9JGt6NWoF5nQD+KlrLDhKNz2MjcBTwffM7Hwyj5lw0x3//Lt4x+UFADb6wIthmkQh3XgulvnPzx3gX7N/3z4On47VXD6W+fWkLkOPH0yj+Nvs3cIt5v/qNIvTTWUIpw/t1KtB9eOfLsVDbOd9ZEZbX0HpsAXqaWfeg4Y/iNVmaiXe+aepyHsXri2E8Xh8+gSab2enm/er+A7x1/4QmnCuhtvbuQrz+PWq+Rz/Cq84dScInDe/XzVIzm4aXdK2xDa+ZUuB3aHP2kSYfM/68/wT+bF6nkPFmdqCZJVP/ebahYyMax1VNTZyyBlYj7LZu4vd6qOOm3u9J/8L4OeBPeAnmNyOJLxIRXAO1hCeBy8zr1DYZ7ztjrnNuDV4tkrEBx9v3qVvDo6nnmFDXlS/i1bK7Du/4D/YL/7w4Fq9fmZrr5PuA35vfqbGZ9Taz4Fpb4N38N7R/1WcuXnPKn5p3zX84XhcFs0Kcu8fgNZmo8TLedfZF/ryJ5nVQP9qP+VIzW9PA8h/Bq8lzBgFP5zLvgRczzUvUleHVNmns9Wyo46DemCPQ0L3DPuP9BE81cCeR1+6Jxb4UrDnXQg1dG4Zav+bclzXlHrXGQ3jniqPMu2fub2ajWvjerb55AyXSjOPb/5yewfv80/x94EfsvY55Bu97LMe8h8rcGDBvY/MJ0doe/fH2u/qE/T5rah6kqQmfxeY9bWsFXjb2h865XzalIP/DOgWvWt1qvGzdg3i/cIdzMd5Jbiner+DPEVnzFvB+eazAyxJvxbvwxK9KdhXerzw78dbt0gbKmo13wbkI7wv2ITMzvGrxrwVN+x7eCWJOmPfhPIl3ItmB15nhBX6824GT8S7wtuNdZJ/s9lZjvxs407wewf+vgWVEw3l47Ww34l3o/8o5V3NB9Wu8qm+r8XbS2i+ERn7+/fA+60K8KpvvEdnNSUt7Cq9mxpM1A5q4Xx8PLPGPrbvxOpQs9U/Kp+JVD9yGl/n9Cc1L2D6K95lswDuOPmlGWftwzn2N1379r3jrfgpwimvk40MDtuMwvPbveXgXT9F0A97x/ol5VXP/h/fLDXh9OaTircMn7HtcR0tUPg/n3Dq8pM8NZnZlmMmCzz0f4CWZGjoXBapvm0Ui5HktlPrOzf7+dLr/fifevvHvMOXUty+9jferzWYzq7cpUBjfxTu2N+Od354isouYaoKOY+fcC3idOM7yt+2XeNXbI1HvejjnvvJjW2VeVeBsf/iHfiyf+jeMTV3OC/jV653XZCHQbLztvRPve/h051xFE8+VNd7Du2CcF/A+ku9V8Prb+o2ZFeF1tPhMzQg/mfR74EN/Ox1QzzpHqjnHzPV4zdbm4x0zf8DrkyTsebahYyNKx1VN84WGal+E3dY07Xs91HETyffkk3jf1c8G/TJaX3yRqu8aKOqcc2/h9eH0PF4ieyhwrj8uH6/G5+1414fD8ZrL1Mzb1HPMLcAj/jFxtl9WiR/DYELvI+/h7VtvAXc4597wh9+N14n5G/52/wSvlnQt2/vk26bW7qnZl2firV8+Xge1F/vnQvDO3d3wzt0PE/CkJL/Ww7F423WjP01NB7vg/UrfUK2SOXgd5m5wzs0PGB6Hd/2+Ee+YPgxvP8TMDvWvAxsS6jhoKOaG3ELQZxzkNuDn/vjrA4Y/ipfoj/SafJ/ltOS+FEZzroXuov5rw1D3YLdQ/7YNq4n3qDXzzsNLkP0Fb198j721A1vq3i3svEHiacbx7fseXlJ3Fd5n+CTejyTgJcpex6sd+yn77leNySc0Z3v8Bu+aczXed/9z1HONGMH3WaPzIDVPF5IoMe/XoXucc+F+ZRYR6bTM7GG8zup+HutYWoqZ/QHo55y7pIHpPsL7seDWBprEtDjzmgc86Zx7sJnlrMR7WsT/AobdgtdZ5YXNi1LaEv+m5R7nXL19B7TAcm/F6zNopt8kTGLIzH4JjAg8vs1rnrcar3PtJjXH9q+nPwYyXN1+RtoEM3sDuM45tyxGy/82Xg3Hg0Ik2Fs7louBbzvnDmlmOS2yL0nbY15fTUvxOrcObhXToZnZNXg/6jfYOilaotJps+yjpZp9iIhIG2Nmo8xsgl/VehpetejgJk2h/Abvl9gtDU3Ykvxqx5PYW0W+qeWcgdcO/e1oxCVtl5ktxGtGdEMMFv8g3q/rG/3aVxIj5jVnuQJ4IMrlvoj3q/Uv2mKyB8A5d2yskj2+5/D7DmlsjZFoMrMueLWTmrUPtNS+JG2PXzvsK7zaRm/FOJwWZ2ZZZnaw3/xqJF7tvkiuEaNGCZ8oc87Nc869Gus4pHMws91h/iLq+K+9MrP7wqz3fbGODcDMLggT35KG55Z2KA2vqnAxXnOQO/GaMNXLOfeac258a9eQCGRmj+BVMf5B4I1VY48xM3sXr6Pm77imd7AaXOarYWK4KcL5l4SZP2wTwmbG26rLiyXn3GTn3DDn3L8anjrqy17lnDvcOdfbORfV5sj1ifb3rZkNqKfMcJ2ctpiapkSh/sJMfxVewuFV51xjmgQ3yDn3LefcAOdctPsX7DCcczuccyc75/o455rSDLHZzOuHbBvejxZPBgyP+b7U3OswM7spzPwtco/X2suLJefcHc65fs6585z3pLeOLgnvSVpFeD+IzcZrXtpq1KRLRERERERERKSDUQ0fEREREREREZEORgkfEREREREREZEOJiHWAYiIhNKrVy83aNCgWIchIiIi0qCFCxfmO+d6xzoOEZFASviISJs0aNAgFixYEOswRERERBpkZmtjHYOISDA16RIRERERERER6WCU8BERERERERER6WCU8BERERERERER6WDUh4+IiIiISDtSUVFBXl4epaWlsQ6l00lJSSEnJ4fExMRYhyIi0iAlfERERERE2pG8vDzS0tIYNGgQZhbrcDoN5xzbt28nLy+PwYMHxzocEZEGqUmXiIiIiEg7UlpaSs+ePZXsaWVmRs+ePVWzSkTaDSV8RERERETaGSV7YkPbXUTaEyV8REREREREREQ6GCV8RKTZzOx4M/vazFaY2Y1hpjnczBaZ2RIze6+1YxQREZHYOfHEEykoKIh1GCE9/PDDbNy4MdZhiIhEnRI+ItIsZhYP3AucAIwBzjOzMUHTZAB/A2Y658YCZ7V2nCIiIhI7r7zyChkZGbEOIyQlfESko1LCR0Saaxqwwjm3yjlXDswCTg2a5nzg3865dQDOua2tHKOIiEiHtmbNGkaPHs1VV13F2LFjOfbYYykpKeHwww9nwYIFAOTn5zNo0CDAS3J861vf4pRTTmHw4MHcc889/PnPf2b//ffngAMOYMeOHWGXVV+Zp59+OscffzzDhw/npz/9ae08gwYNIj8/H4Df//73jBw5kqOPPprzzjuPO+64o95yq6qq+MlPfsLUqVOZMGEC999/f73b4k9/+lPttL/61a/q3T7PPfccCxYs4IILLmDixImUlJRw4403MmbMGCZMmMD111/fiE9BRKRtUcJHRJqrP7A+4H2ePyzQCKCHmb1rZgvN7OJQBZnZt81sgZkt2LZtWwuFKyIi0jEtX76c73znOyxZsoSMjAyef/75eqf/8ssvefLJJ5k3bx4333wzXbp04bPPPuPAAw/k0UcfbVIMixYt4umnn+aLL77g6aefZv369XXGL1y4kFmzZvHZZ5/x73//m/nz5zdY5kMPPUT37t2ZP38+8+fP5x//+AerV68OOe0bb7zB8uXLmTdvHosWLWLhwoXMmTMHCL19zjzzTKZMmcITTzzBokWLKCkp4YUXXmDJkiV8/vnn/PznP2/SdhARaQsSYh2AiLR7oR5X4YLeJwCTgaOAVOBjM/vEOfdNnZmcewB4AGDKlCnBZYiIiEg9Bg8ezMSJEwGYPHkya9asqXf6I444grS0NNLS0ujevTunnHIKAOPHj+fzzz9vUgxHHXUU3bt3B2DMmDGsXbuW3Nzc2vHvv/8+p512Gl26dAFg5syZDZb5xhtv8Pnnn/Pcc88BsGvXLpYvX87gwYNDTvvGG2+w//77A7B7926WL1/OgAEDIto+6enppKSkcOWVV3LSSSdx8sknN2r9RUTaEiV8RKS58oDcgPc5QHBD+Dwg3zlXDBSb2RxgP+AbREREJCqSk5NrX8fHx1NSUkJCQgLV1dUAlJaWhp0+Li6u9n1cXByVlZVhlxNpmfHx8SHLCfdo83DlOuf461//ynHHHRc2psBpf/azn/H//t//qzN8zZo1IbdPqBjmzZvHW2+9xaxZs7jnnnt4++23G1yuiEhbpCZdItJc84HhZjbYzJKAc4H/BE0zGzjUzBLMrAswHVjWynGKiIh0OoMGDWLhwoUAtTVkYlnmjBkzeOGFFygpKaGoqIiXXnqpwXKPO+44/v73v1NRUQHAN998Q3FxccjyjzvuOP75z3+ye/duADZs2MDWrfV3HZiWlkZRURHg1QjatWsXJ554InfddReLFi1q1PqJiLQlquEjIs3inKs0s+8CrwPxwD+dc0vM7Gp//H3OuWVm9hrwOVANPOic+zJ2UYuIiHQO119/PWeffTaPPfYYRx55ZMzLnDRpEueccw4TJ05k4MCBHHrooQ2We+WVV7JmzRomTZqEc47evXvz4osvhiz/2GOPZdmyZRx44IEAdOvWjccff5z4+PiwMV166aVcffXVpKam8uqrr3LqqadSWlqKc46//OUvjVo/EZG2xJxTNxki0vZMmTLF1TypQ0RERPZatmwZo0ePjnUYUXHLLbfQrVu3dvU0rFDb38wWOuemxCgkEZGQ1KRLRERERERERKSDUZMuERERERHZx3e+8x0+/PDDOsOuu+46Lrvssqgt45ZbbmnSfF988QUXXXRRnWHJycnMnTs3ClGJiHQMSviIiIiIiMg+7r333liHENb48ePVobKISAPUpEtEREREOqSqaseCNdtZvqUo1qGIiIi0OiV8RERERKRDenbBes687xO+9bcP+XLDrliHIyIi0qqU8BERERGRDmnVtmIAisuqyNtZEuNoREREWpcSPiIiIiLSIZ0+qT/nTR3A948azsFDe8Y6HGnAa6+9xsiRIxk2bBi33357rMMREWn31GmziIiIiHRIo7LSue2M8bEOQyJQVVXFd77zHd58801ycnKYOnUqM2fOZMyYMbEOTUSk3VINHxERERERial58+YxbNgwhgwZQlJSEueeey6zZ8+OdVgiIu2aEj4iIiIiItJo7733Hn/84x957733ml3Whg0byM3NrX2fk5PDhg0bml2uiEhnpoSPiIiIiIg0ynvvvcfNN9/MM888w80339zspI9zbp9hZtasMkVEOjslfEREREREpFHmzp1LaWkpAKWlpcydO7dZ5eXk5LB+/fra93l5eWRnZzerTBGRzk4JHxERERERaZTp06eTkpICQEpKCtOnT29WeVOnTmX58uWsXr2a8vJyZs2axcyZM6MRqohIp6WndImIiIiISKMcdthh/P73v2fu3LlMnz6dww47rFnlJSQkcM8993DcccdRVVXF5ZdfztixY6MUrYhI56SEj4iIiIiINNphhx3W7ERPoBNPPJETTzwxauWJiHR2atIlIiIiIiIiItLBKOEjIiIiIiIiItLBKOEjIiIiIiIiItLBKOEjIiIiIiIiItLBKOEjIiIiIiIiItLBKOEjIiIiIiIiItLB6LHsIiIiIiISc4MGDSItLY34+HgSEhJYsGABO3bs4JxzzmHNmjUMGjSIZ555hh49esQ6VBGRdkE1fEREREREpFGqq6tZsGABL7zwAgsWLKC6ujoq5b7zzjssWrSIBQsWAHD77bdz1FFHsXz5co466ihuv/32qCxHRKQzUA0fERERERGJWF5eHtdeey0FBQVUV1cTFxdHRkYGf/vb38jJyYnqsmbPns27774LwCWXXMLhhx/OH/7wh6guQ0Sko1INHxERERERiUh1dTXXXnstmzZtYs+ePZSWlrJnzx42bdrEtdde26yaPmbGsccey+TJk3nggQcA2LJlC1lZWQBkZWWxdevWqKyHiEhnoBo+IiIiIiISkU8//ZSCggKcc3WGO+coKCjg008/ZcqUKU0q+8MPPyQ7O5utW7dyzDHHMGrUqGiELCLSaamGj4iIiIiIRGT9+vVha/FUV1eTl5fX5LKzs7MB6NOnD6eddhrz5s2jb9++bNq0CYBNmzbRp0+fJpcvItLZKOEjIiIiIiIRyc3NJS4u9C1EXFxck/vwKS4upqioqPb1G2+8wbhx45g5cyaPPPIIAI888ginnnpq0wIXEemE1KRLREREREQiMmnSJDIyMigpKanTrMvMyMjIYNKkSU0qd8uWLZx22mkAVFZWcv7553P88cczdepUzj77bB566CEGDBjAs88+G5X1EBHpDJTwERERERGRiMTFxfG3v/0t7FO6wtX+aciQIUNYvHjxPsN79uzJW2+91dywRUQ6JSV8REREREQkYjk5Obz44ot8+umn5OXlkZOTw6RJk5qc7BERkZahhI+IiIiIiDRKXFwcU6ZMafITuUREpOUpDS8iIiIiIiIi0sGoho+IiIiINEthSTlPzVvP7rJKzp6SQ25m1yaVU1pRxZr8Yvp1TyGjS1KUoxQREelclPARERERkWZ5+fPN3PbqVwCUVVRz00mj95lmW1Epr36xmX4ZKRw7pt8+46uqHbe/9hUPf7iG6YMzufeCSfTqltzisYuIiHRUSviIiIiISLMkxFvI14Ee/nAN9767EjN45tsHMnVwZp3xhSXlPDV3HQBzV+9g9bbdSviIiIg0g/rwEREREZFmOXl8Fr//1jh+dsIoLj5wYMhpXJjXNbqnJnHFIYMBOGJkb4b1SYt+oBI1+fn5PP744/z5z3/m8ccfJz8/v9llXn755fTp04dx48bVDtuxYwfHHHMMw4cP55hjjmHnzp2142677TaGDRvGyJEjef3115u9fBGRjsacC/WVKyISW1OmTHELFiyIdRgiIhIlWwpLeeWLTWR3T+XYsX0x27cmUEVVNZsKSujZLZmuyaqIHs6yZcsYPXrfZnOtoaqqijvuuIPZs2cDUF5eTlKS19/SqaeeyvXXX098fHyTyp4zZw7dunXj4osv5ssvvwTgpz/9KZmZmdx4443cfvvt7Ny5kz/84Q8sXbqU8847j3nz5rFx40aOPvpovvnmmyYvuzFCbX8zW+ic0yPLRKRNUQ0fEREREWlxfdNTuOzgwRw3rl/IZA9AYnwcA3p2VbKnDbvjjjt46aWXKC8vp7y8HKD29UsvvcQdd9zR5LJnzJhBZmbdpn6zZ8/mkksuAeCSSy7hxRdfrB1+7rnnkpyczODBgxk2bBjz5s1r8rJFRDoiJXxERERERKRB27ZtY/bs2ZSWloYcX1payuzZs6PSvKvGli1byMrKAiArK4utW7cCsGHDBnJzc2uny8nJYcOGDVFbrohIR6CEj4iIiIiINCjSfnJee+21Fo4EQnVLEa7mmIhIZ6WEj4iIiIiINGjr1q21zbjCKS8vZ9u2bVFbZt++fdm0aRMAmzZtok+fPoBXo2f9+vW10+Xl5ZGdnR215YqIdARK+IiIiIiISIP69OlT20FzOElJSfTu3Ttqy5w5cyaPPPIIAI888ginnnpq7fBZs2ZRVlbG6tWrWb58OdOmTYvackVEOgIlfEREREREpEHHHXdcRNMdf/zxTSr/vPPO48ADD+Trr78mJyeHhx56iBtvvJE333yT4cOH8+abb3LjjTcCMHbsWM4++2zGjBnD8ccfz7333tsqT+gSEWlP9AgEERERERFpUO/evTn11FN56aWXQnbcnJKSwimnnEKvXr2aVP5TTz0Vcvhbb70VcvjNN9/MzTff3KRliYh0Bkr4iIiIiIhIRK6//nrAeyw6eH321DTzOuWUU2rHi4hI7CnhIyIiIiIiEYmPj+eGG27giiuu4LXXXmPbtm307t2b448/vsk1e0REpGUo4SMiIiIiIo3Sq1cvLrzwwliHISIi9VCnzSIiIiIiIiIiHYwSPiIiIiIiIiIiHYyadImIiIiISKMUFBQwZ84cCgsLSU9PZ8aMGWRkZMQ6LBERCaAaPiIiIiIiEpHCwkJuuOEGTjzxRP70pz9xzz338Kc//YkTTzyRG2+8kcLCwiaXffnll9OnTx/GjRtXO+yWW26hf//+TJw4kYkTJ/LKK6/UjrvtttsYNmwYI0eO5PXXX2/WeomIdERK+IiIiIiISIMKCwu58MILmTNnDuXl5ZSUlFBZWUlJSQnl5eW89957XHTRRU1O+lx66aW89tpr+wz/4Q9/yKJFi1i0aBEnnngiAEuXLmXWrFksWbKE1157jWuvvZaqqqpmrZ+ISEejhI+IiIiIiDTo1ltvZdu2bVRUVIQcX1FRwdatW7n11lubVP6MGTPIzMyMaNrZs2dz7rnnkpyczODBgxk2bBjz5s1r0nJFRDoqJXxERERERKReNX32hEv21KioqGDOnDkUFBREbdn33HMPEyZM4PLLL2fnzp0AbNiwgdzc3NppcnJy2LBhQ9SWKSLSESjhIyIiIiIi9ZozZw7x8fERTRsfH8+cOXOistxrrrmGlStXsmjRIrKysvjxj38MgHNun2nNLCrLFBHpKJTwERERERGRehUWFjZYu6dGZWVlszpvDtS3b1/i4+OJi4vjqquuqm22lZOTw/r162uny8vLIzs7OyrLFBHpKJTwERERERGReqWnp5OYmBjRtAkJCaSnp0dluZs2bap9/cILL9Q+wWvmzJnMmjWLsrIyVq9ezfLly5k2bVpUliki0lEkxDoAERERERFp22bMmMHtt98e0bRVVVXMmDGj0cs477zzePfdd8nPzycnJ4df//rXvPvuuyxatAgzY9CgQdx///0AjB07lrPPPpsxY8aQkJDAvffeG3GTMxGRzkIJHxERERERqVdGRgYzZszgvffeq7dpV2JiIjNmzCAjI6PRy3jqqaf2GXbFFVeEnf7mm2/m5ptvbvRyREQ6CzXpEhEREZEOZ3X+brYUlsY6jA7lpptuok+fPmGbdiUmJtKnTx9uuummVo5MRERCUcJHRERERDqUFz/bwNF/nsPMv37AF3kFsQ6nw0hPT+exxx7jsMMOIykpidTUVBITE0lNTSUpKYnDDjuMxx57LGr994iISPOoSZeIiIiIdChzvtlGVbVjS1EZn60rYHxORqxD6jDS09O5/fbbKSgoYM6cORQWFpKent7kZlwiItJylPARERERkQ7l8JG9mb14I326JTNpYI9Yh9MhZWRkMHPmzFiHISIi9VDCR0REREQ6lJkT+zNxQAapifH0TkuJdTgdUlVVFWvWrKG4uJiuXbsyaNAgPSVLRKSNUcJHRERERDqcAZldYx1Ch1RYWMhzzz3HU089RWlpKfHx8VRVVZGSksJ5553HWWedRVpaWqzDFBER1GmziIiIiIhEIC8vj7PPPpuHHnqInTt3UlJSwu7duykpKWHnzp089NBDnH322eTl5TW67PXr13PEEUcwevRoxo4dy9133w3Ajh07OOaYYxg+fDjHHHMMO3furJ3ntttuY9iwYYwcOZLXX389auspItJRKOEjIiIiIlHz/jfb+Mmzi7nvvZWUlFfFOhyJksLCQq688kq2b99OWVlZyGnKysrIz8/nqquuoqioqFHlJyQkcOedd7Js2TI++eQT7r33XpYuXcrtt9/OUUcdxfLlyznqqKO4/fbbAVi6dCmzZs1iyZIlvPbaa1x77bVUVWl/ExEJpISPiIiIiETFrpIKrnv6M55dmMftr37FO19vjXVIEiXPPfcchYWFOOfqnc45V9vsqzGysrKYNGkSAGlpaYwePZoNGzYwe/ZsLrnkEgAuueQSXnzxRQBmz57NueeeS3JyMoMHD2bYsGHMmzev8SsmItKBKeEjIiIiIlERByQn7L28jI+z2AUjUVNVVcVTTz1FeXl5RNOXlZXx5JNPNrnGzZo1a/jss8+YPn06W7ZsISsrC/CSQlu3eknEDRs2kJubWztPTk4OGzZsaNLyREQ6KnXaLCIiIiJRkZaayF3n7M+rX25iSO9uHD6yd6vHsHDNDt5ctoWx2d05Zb/sVl9+R7RmzRpKS0sbNU9paSlr1qxh6NChjZpv9+7dnHHGGdx1112kp6eHnS5UTSMzJRhFRAIp4SMiIiIiUTN9SE+mD+nZYuVv2LmHVfnFjO/fnYwuSXXGlZRXcv1zn7M6vxgzGJDZhf1yM1osls6iuLi40Y9cj4+Pp7i4uFHzVFRUcMYZZ3DBBRdw+umnA9C3b182bdpEVlYWmzZtok+fPoBXo2f9+vW18+bl5ZGdrQSfiEggNekSERERkXZha1Epl/1rPhc9NI9fv7Rkn1oehpHgNyMzQC3KoqNr166Nbp5VVVVF165dI57eOccVV1zB6NGj+dGPflQ7fObMmTzyyCMAPPLII5x66qm1w2fNmkVZWRmrV69m+fLlTJs2rVExioh0dKrhIyIiIiLtwrbCMr7ZuhuA95fnU1pZRWri3svZlKR47jhrAm99tZUxWemMz8mIUaQdy6BBg0hJSaGkpCTieVJSUhg0aFDE03/44Yc89thjjB8/nokTJwJw6623cuONN9Y+Cn7AgAE8++yzAIwdO5azzz6bMWPGkJCQwL333tvoWkgiIh2dNdTTvohILEyZMsUtWLAg1mGIiEgbUlFVzT/mrOKtZVu57OBBnNxJ++hZtmwZo0ePbtVl/vOf/+TBBx+MqOPm5ORkrrzySi677LJWiKz1hdr+ZrbQOTclRiGJiISkJl0iIiIi0i4kxsdx7RHDeP7agzptsidWzjrrLLp3795gx8hmRnp6OmeeeWYrRSYiIuEo4SMiIiIiIvVKS0vjH//4B7169SI5OTnkNMnJyfTq1Yt//OMfpKWltXKEIiISTAkfERERERFpUE5ODs888wxXXnklPXr0IDU1lW7dupGamkqPHj248soreeaZZ8jJyYl1qCIigjptFhERERGRCKWlpXHZZZdx8cUXs2bNGoqLi+natSuDBg1Sp8kiIm2MEj4iIiIiIhKxJUuW8MQTTzB//nzKyspITk5m6tSpXHjhhYwZMybW4YmIiE8JHxFpNjM7HrgbiAcedM7dHma6qcAnwDnOuedaMUQREYmSb7YU8cHybYzJTueAIb1iHY60ovz8fK677jrWrl1LeXk51dXVAOzZs4f//e9/zJkzh4EDB3L33XfTq5f2DRGRWFMfPiLSLGYWD9wLnACMAc4zs31+3vOn+wPweutGKCIi0VJaXsWPn17Eb15exiX/nM83W4piHZK0km3btnH++eezYsUKSktLa5M9NaqrqyktLWXFihWcf/755OfnN6r89evXc8QRRzB69GjGjh3L3XffDcAtt9xC//79mThxIhMnTuSVV16pnee2225j2LBhjBw5ktdf1+WFiEgw1fARkeaaBqxwzq0CMLNZwKnA0qDpvgc8D0xt3fBERCRaKqsdG3eVAFBWWU1xWWWMI5LW8oMf/IBdu3ZRVVVV73RVVVXs2rWL6667jieeeCLi8hMSErjzzjuZNGkSRUVFTJ48mWOOOQaAH/7wh1x//fV1pl+6dCmzZs1iyZIlbNy4kaOPPppvvvlG/QiJiARQDR8Raa7+wPqA93n+sFpm1h84DbivvoLM7NtmtsDMFmzbti3qgYqISPN0S0ngzrMncs7UHG47fRz75WTEOiRpBUuWLGHt2rUNJntqVFVVsXbtWpYuDf7tJ7ysrCwmTZoEeB1Djx49mg0bNoSdfvbs2Zx77rkkJyczePBghg0bxrx58yJenohIZ6CEj4g0l4UY5oLe3wXc4Jyr90rROfeAc26Kc25K7969oxWfiIhE0eEj+/CHM/bjvGkDiYsL9RUgHc0TTzxBeXl5o+YpLy/n8ccfb9Ly1qxZw2effcb06dMBuOeee5gwYQKXX345O3fuBGDDhg3k5ubWzpOTk1NvgkhEpDNSwkdEmisPyA14nwNsDJpmCjDLzNYAZwJ/M7NvtUp0IiIi0izz58/fp8+ehlRXVzN//vxGL2v37t2cccYZ3HXXXaSnp3PNNdewcuVKFi1aRFZWFj/+8Y8BcC74tyUwUwJSRCSQ+vARkeaaDww3s8HABuBc4PzACZxzg2tem9nDwMvOuRdbMUYRERFporKyslaZr6KigjPOOIMLLriA008/HYC+ffvWjr/qqqs4+eSTAa9Gz/r1e1uU5+XlkZ2d3aQ4RUQ6KtXwEZFmcc5VAt/Fe/rWMuAZ59wSM7vazK6ObXQiIiLSXMnJyS0+n3OOK664gtGjR/OjH/2odvimTZtqX7/wwguMGzcOgJkzZzJr1izKyspYvXo1y5cvZ9q0aU2KU0Sko1INHxFpNufcK8ArQcNCdtDsnLu0NWISERGR6Jg6dSr/+9//GtWsKy4ujqlTI38w54cffshjjz3G+PHjmThxIgC33norTz31FIsWLcLMGDRoEPfffz8AY8eO5eyzz2bMmDEkJCRw77336gldIiJBLFT7VxGRWJsyZYpbsGBBrMMQERFpc5YtW8bo0aNbbXlLly7l29/+NqWlpRHPk5KSwj/+8Y9WjbO1hNr+ZrbQOTclRiGJiISkJl0iIiIiIhLWmDFjGDhwYMQ1aOLj4xk4cGCHTPaIiLQnSviIiIiIiEi97r77brp3795g0ic+Pp7u3btz9913t1JkIiISjhI+IiIiIiLtTGt3y9CrVy+efPJJhg0bRkpKCnFxdW8j4uLiSElJYdiwYTz55JP06tWrVeNrLeoOQ0TaE3XaLCIiIiLSjqSkpLB9+3Z69uyJmbXacnv16sUTTzzB0qVLefzxx5k/fz5lZWUkJyczdepULrzwQsaMGdNq8bQ25xzbt28nJSUl1qGIiEREnTaLSJukTptFRERCq6ioIC8vr1GdKEt0pKSkkJOTQ2JiYp3h6rRZRNoi1fAREREREWlHEhMTGTx4cKzDEBGRNk4JHxERERGJitKKKl75YhNlFdWcNCGL9NTEhmcSERGRFqGEj4iIiIhExStfbOJHzywGYE95JVccOiTGEYmIiHReekqXiIiIiERFWUX13teV1fVMKSIiIi1NNXxEREREJCpOmpDFnvJKyiqrOWtKTqzDaTEfr8ynsKSSGSN6k5oUH+twREREQlLCR0RERESiIj01scM343r/m21c/K95OAc/P2k0V3bw9RURkfZLTbpERERERCK0pagU57zXmwpKYhuMiIhIPVTDR0REREQkQkeN6st3jxjGzj3lnDU1N9bhiIiIhKWEj4iIiIhIhHp0TeL640bGOgwREZEGqUmXiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiIiIiEgHo4SPiIiIiEgHUFhSzvzV28nfXRbrUEREpA1QwkdEREREOoXtu8v4enMhlVXVsQ4l6qqrHb/6zxLOuv8TfjDrM4rLKmMdkoiIxJgSPiIiIiLS4a3fUcz5/5jLcXe9z33vrYx1OFFXVlnF+8vzAfho5XYKSytiHJGIiMSaEj4iIiIiHczXmwt5a9kWtheraU+NrzYX8fWWIgCeXrCeqmoX44iiKzUpgd+eOo4Tx/Xjj2dOIKt7aqxDEhGRGEuIdQAiIiIi0nTlldW8sXQzWwtLmT6kJxVV1Vzw4FyKy6o4cmQf7jl/f7ok65JvXHZ3Jg3I4NN1BVx60GDi4yzWIUXdCeOzOGF8VqzDEBGRNkLf/iIiIiLt2FNz1/Krl5YC0LtbEj88ZgTFZVUAvP31VvKLyxgQg4RPRVU1r36xmW27Szl2TD9yM7u0egyBsjJSeeSyaewsKSe3R2xjERERaQ1K+IiIiIi0Y3NX76h9vW13OdXO0S89hc2FpZwxqT990lJiEtdrX2zm+7M+A2D+6p3cd9HkmMQRKC01kbTUxFiHISIi0iqU8BERERFpx0b1S+OVLzcDkJwQx8TcHjx39YFsLixlVFYaKYnxMYlra8CjwZdvKaKq2nXIZlQiIiJtlRI+IiIiIu3YpQcPomtyAlsKS5kxojfj+ncHICdGTagKSyp4cu5aCksqOXJkb9bu2MNNJ45WskdERKSVKeEjIiIi0o6lpyZxxaFDYh1GrWcWrOf2174GILNLIo9eMb02CSUiIiKtR49lFxEREZGo2bSrtPb1jj0VbA54LyIiIq1HCR8RERERiZqjRvWha7LXb9D0wZnsl1u3ds/WwlLyA/r3ERERkZahJl0iIiIiEjUHDevF7O8cwpbCUkb1S6Nnt+TacXO+2cY1TywkOSGe+y+czNTBmTGMVEREpGNTDR8RERERiaphfbpx8LBedZI94CV8isuq2FFczker8mMUnYiISOeghI+IiIiItIrpgzNJjDe6JMUzeUCPWIdTa/3OPdz33kreXLol1qGIiIhEjZp0iYiIiEirOGZsP9744Qzi4+IYEKPHxofy2EdreeD9VcTHGf/93iGMykqPdUgiIiLNpoSPiIiIiLSawb26xTqEfaSleJfE3ZLiSU2Kj3E0IiIi0aGEj4iIiIh0apccPIjhfdPI7ZHKwJ5dYx2OiIhIVCjhIyIiIiKdWnpKIseP6xfrMERERKJKnTaLiIiIiIiIiHQwquEjIiIi0g5VVTvmrtpOcXkl++Vk0Cc9JdYhiYiISBuihI+IiIhIO+Oc4/73VvLH178GYPLAHtx7/v70654a48hERESkrVCTLhEREZF2ZmthGX9+85va9wvX7uSTVTtiGJGIiIi0NUr4iIiIiLQzSQlGckLdy7jg9yLNUVhSzrJNhZSUV8U6FBERaSJdGYiIiIi0Mz26JvOnsybUJnnOnzaAGSN6xziq6HHOUVlVHeswOq2ikgq+/9QiTrj7fW57dRlV1S7WIYmISBOoDx8RERGRdujE8dlMzO3BnvIqBmR2IamD1PBZuW03v3lpKXk79vCLU8Zw+Mg+sQ6p09m4q4R3v9kGwPML8/jxMSPo3iUpxlGJiEhjdYwrAxEREZFOKDsjlWF9unWYZA/A619u5r1vtrEyv5i/vr0i1uF0SgN7duWygweRlpzAD5TsERFpt1TDR0RERETajL4Bj5cf1rtbDCPpvFIS4/nFSWP44dEjSE9NjHU4IiLSREr4iIiIiEibcfJ+WSTEGTv3VHD8uL6xDqfTioszJXtERNo5JXxEREREpM1ITojn1P37xzoMERGRdq/jNPgWERERERERERFACR8RERERERERkQ5HCR8RERERERERkQ5GCR8RERERERERkQ5GnTaLiIiISMRKyqt46INVfLFhF2dPyeWo0XqSloiISFukhI+IiIiIROyjlfnc8cY3AMxfs4MHLprC85/mkd09lUsOGkh6alKMIxQRERFQwkdEREREgA07S5i7ejtZ3VM4cGivsNOlpyQSZ1DtIKdHF/70+tfMXb0DgMxuSVwwfWBrhSwiIiL1UMJHREREpJPbtaec78/6jIVrdxJn8MBFUzh6TOimWlMHZ/LARZNZua2Yg4b25MpHF9SOq6xyrRVyk2zeVcLf311JeWU1/+/woQzq2TXWIYmIiLQYJXxEREREOrnNhaUsXLsT8GruLNm4K2zCB+DoMf042n99x1n78dTcdeT27MLJE7JaIdqm+9+yrTzy8VoABvTswjWHD4txRCIiIi1HCR8RERGRTi67RypHjOzNO19vIzkhjskDe0Q876HDe3Po8N4tGF30DOndlaT4OKqcY1iftFiHIyIi0qLMubZd9VZEOqcpU6a4BQsWNDyhiIhExfbdZSxaX0Df9BTG9e8e63BazDdbCqmodIztwOsorc/MFjrnpsQ6DhGRQKrhIyIiIiL07JZc5xHre8orSYgzkhLiYxhV9I3omx7rEERERFqFEj4iIiIiUsdbSzdz//ur2FFcwa2njWfa4MxYhyQiIiKNFBfrAERERESk7Zi/ejt/fP0b1m0vYUTfbtz7zopYhyQiIiJNoISPiIiIdFiVVdUsWLOD2Ys28Pn6AtR3YcM+WJ5Pr7Qkyquq+TxvF9ndU2IdkoiIiDSBmnSJiIhIh7S7rILbXvmKJ+auA8AMvnPEML5/5HCSEvSbVyjrthfzypebWb51N4eP6E1pZRXnTs+NdVgiIiLSBLraERERkQ7pzaVba5M9AM7BPW+v4KOV+TGMqm37bH0By7fuBuC95dv46XEj2S8n8ke0i4iISNuhhI+IiIh0SJ+vLwg9PC/0cIFhfbrRPcWrAH7kqD6Mydajy0VERNorNekSERGRDqlHl6RGDe9sPli+jXlrdjBpQA8OH9kHgLHZ3Xnm6gNZv6OE/QdkkJLYsR7J3lGt2FrElxt2MXlgD3Izu8Y6HBERaSOU8BEREZEO6egxfXnwg1UUllbWDsvOSOGwkb1jGFXbsHrbbq56bAEl5dUkxcfx0vcOZmS/dABG9kuvfS1tX+GeCq5+bCErthVz8LCePHLZNBLiVYlfRESU8BEREZEOakx2Ov+6bCrPLchjUd4uDhiSyRmTcxigGhDsqaiipLwagPKqaorLqmIckTRVaVUVGwpKAdiws4TKKkeCKmaJiAhK+IiIiEgHNnlgJpMHZsY6jHqtzi/m7WVbKKuq5rARvRnbCv3mjO6Xzm9OHcvLn2/kuLFZ7Jeb0eLLlJbRJy2Fv184iU9WbeeIUX1ISVK2R0REPOaci3UMItLOmdnxwN1APPCgc+72oPEXADf4b3cD1zjnFtdX5pQpU9yCBQtaIlwRkTZj865SLnjwE1ZuKwYgPSWBp759QKskfUQkesxsoXNuSqzjEBEJpAa+ItIsZhYP3AucAIwBzjOzMUGTrQYOc85NAH4LPNC6UYqItE1zV2+vTfYAFJZW8t4322IYkYiIiHQUatIlIs01DVjhnFsFYGazgFOBpTUTOOc+Cpj+EyCnVSMUEWmjkkJ0rpucsHfYzuJyZi/ewIqtuxndL52Z+2WTlprYmiG2qBVbi3j04zWkpyZxxcGD6dFVT1ATERGJFiV8RKS5+gPrA97nAdPrmf4K4NUWjUhEpJ04cGhPZgzvxZzl+QAM692Vo0b3rR3/f28v518frql9v7mwlB8fO7K1wwyrsKScf3+6keLySk6dmE1Ojy6Nmv/ZBXk8+vE6AAZmduGsKbktEaaIiEinpISPiDSXhRgWsnMwMzsCL+FzSJjx3wa+DTBgwIBoxSci0mZldEnir+ftz0crt1NeVc30wZn0654KwOZdJTz28do60//zg9VccchgMrq0jZowT85bz+2vfgXA2vxi/njWfo2av096MgBm0DstOerxiYiIdGZK+IhIc+UBgT/J5gAbgycyswnAg8AJzrntoQpyzj2A37/PlClT1KO8iHQK3bskccL4rH2GpyTGk9k1ia1FZbXD+nVPISmh7XTBmB8Q29odexo9//nTBpLdPZX0lEQOGtYzmqGJiIh0em3nikFE2qv5wHAzG2xmScC5wH8CJzCzAcC/gYucc9/EIEYRkXYno0sSPz1uFObXo4yPM35w9Ai6JLWd3+u+tX9/Jg/oweCeXfjukcMaPX9qUjwnjM/i4OG9MAtVYVRERESaSo9lF5FmM7MTgbvwHsv+T+fc783sagDn3H1m9iBwBlDTNqGyoUeX6rHsIiKeL/IKWJVfzIi+aYzOSo9ZHNuKSklLTiQlKb7O8KpqR1W1a1M1j0Ramx7LLiJtkRI+ItImKeEjItJ2PPbxGn7z8lKmDMrkzjP3I7tHaqxDEmlTlPARkbZIP8WIiIiItEMFe8rZFtCHTkvZvruMu/63nIoqx8crtzN/7Y4WX6aIiIg0X9tpBC4iIiLSSRWVVPD60s2s31HCxNwMDh/Zu94+bd5Yspnrn1tMSXkVNx4/issPGRxxHzirtu1m7urt9OiSxJGj+jbYFOupuWsZ0TeNj1dtp2tSPEN7d2vUuomIiEhsKOEjIiIiEmN/+d83/PPDNbXv/+/cicyc2D/ktDuKy7j+2cUUllYC8Nv/LmPyoB5MzO3R4HLWbC/msofns3a790Stnxw3ku8cUX9ny3NW5LO1sIyDh/VkTFY64/p3j3CtREREJJbUpEukkzOz5FjHICLSma3fsYdHPl5bZ9jsRRvZsLOE215dxvdnfcq/P82jpt/FyirHnvKqOtOXVlRHtKzF6wtqkz0AT85dS0VV/fOetn8Oa3fs4eOV2xmb3XaSPUs37uJv76zgzaVbYh2KiIhIm6QaPiKdiJn90zl3ecD7bsBs4KjYRSUi0rmlJMbTJSmeIr/GDkDPbknc9b9veHZhHgD/WbSJjC5JHDmqD33SU/jp8aO49ZVlAJw5OYcJEda66Z1WN8c/sm8aifH1//537tRcxvfvTnycxfQpYYGKyyv5wdOL+GbLbuIMnr36QPbP7cG/P9vAkg27OGJUH2aM6B3rMEVERGJKCR+RzmWDmf3dOXeNmfUA/gv8I9ZBiYh0Zr3Tkrnx+FH8fPaXOAfpKQmcMzWHHz69uM50a7cX176+8pDBTBnYg7LKKvbLyaBLcmSXdAcO6ckfzhjP0/PWM6BnF64+fGiD85hZm2vGVVlZzebCUgCqHewurWTemh1c/6y3zZ5ZuJ7//fAwsjL0NDEREem8lPAR6UScc78wsz+Y2X3AZOB259zzsY5LRKQjW7u9mHmrt9M1OYGDh/YiNSmBz/MKKK+qZkJOd7olJ3L+9AGMz+lO3s4SxmV3Z0DPLhw/LosH5qwCIDHeGBfQnCouzpg0sOE+e4KZGedMHcA5UwdEbf2aq7S8iu3FZfROS2mwA+ka3bsk8ZezJ/Liog2Mz+7OAUN7Mn/13qeHVVQ6qv0mcCIiIp2VOX0ZinR4ZnZ64FvgF8A84DUA59y/YxFXfaZMmeIWLFgQ6zBERJrly427uPxf89haVA7A4SN7MzCzS22fPVMH9eDPZ08kN7PLPvMWlpTz7882kl9UxgFDMjlkeMdropS/u4yfPvs5b3+9lQumD+DnJ40mNalpv0dWVFXzxCdr+WLDLo4e05cTxmVFOVqR8MxsoXNuSqzjEBEJpBo+Ip3DKUHvPwMS/eEOaHMJHxGRjuD1LzbXJnsA3v16GzOG96p9P3/NTl7+fCPXHL7vk7LSU5O49KBBrRFmzCxcs4O3v94KwBNz13H2lBz2i+BpY6Ekxsdx6cGDoxmeiIhIu6aEj0gn4Jy7LNYxiIg0VUVVNYvXF5C/u4zBvboysl/b6Dg4EmWVVfsMC65bvXlXaZPL31RQwhNz17J9dzlHjenL0aP7NrmsWMjp0YXkhDjKKqvJSk+hd1pKrEMSERHpMJTwEelEzKw3cBUwiIDjP/DJXSIizVVYUsE7X29lztfb2La7jFH90jh6TF+mDe7Z6LLWbC/mty8t5a2vvFog8XHGlYcM5ntHDaNbcmJU4164dgcfrdgOBocM68X+A5pW0yTQEaP68K+P1lBR5aV5hvTqwo7i8jrTTB6Y2eTy73lnBU/MXQfAc5/m8dzVB7FfbkaTy2ttY/t354krp7NsUxGTB2aQrU6WRUREokYJH5HOZTbwPvA/YN+fnUVEmmlncTk3v/gFr3yxuXbYnOX5PPjBam47fXyjOgt2znHXm9/UJnsAqqod989ZRXZGCpccFL3mO//9fBPfn/UZVdVeYubu/y3nr+fv3+x+YA4c2osnrjyA97/ZRreUBI4b248lG3fxzw/XsLuskgumD+C4cU2vlfPp2p21ryuqHBsLStpVwgdgyqBMpgxqetJLREREQlPCR6Rz6eKcuyHWQYhIx/XCZxvqJHtqVDu46YUvGZfdnbERPuL7681FzF68MeS4WfPWc960gRE/1ak+RaUV3PnGV7XJHoDKai/ZdOjwXs2uSTRtcCbTBu9NaAzq1ZUTxmXh8GosNcdJE7JYtrkIgKz0FEZmpTWrPBEREek4lPAR6VxeNrMTnXOvxDoQEel4SsormTVvXdjxVdWO977ZFnHCp6i0knAPE92wq4SyyqqoJHy2FpaxKn/PPsO/3rKb/KKyqDcdA++x6tFw5aFDyM3swo7iMg4a2oshvbpFpVwRERFp/5TwEelcrgNuMrMyoALvEe3OOdd+ekAVkTarqLSS5dt21zvN1qLIOyge2rsrfdKS2VpUts+4Y0f3Iy0lOomYPunJDO3djZVBsY/q243e6W27E+GUxHhOndg/1mGIiIhIG9T8n8VEpN1wzqU55+Kcc6nOuXT/vZI9IhIVXVMSGJDZpd5penVLjri8zG7J/OS4kfsM75Ycz7nTchsdXzhpKYn8+NgRdZpXJcQZPzhmBF2T2t9vYwvW7ODlxRtZs7041qHUq7KqmqUbC9lYUBLrUERERDqk9ncVIyLNYmY9gOFA7c/Wzrk5sYtIRDqKrkkJnD9tALe9+lXI8WYwY3jvRpV55uQcenRJ5OUvNrF6WzFTBmUyc7/sqHdMfOL4LLK6p/DRyu0YcNCwnkzMbf5TulrbS4s3ct2sz6h2kNsjlUcun8aQ3m2zmdff3l3Bn99cTq+uSTxw8RQmDWx/21tERKQtU8JHpBMxsyvxmnXlAIuAA4CPgSNjGJaIdCCnT+rPx6u28+7X2/YZ96uTxzA+J7L+e2qYGUeP6cfRY/pFK8Sw9h/QIyqPYo+l15dspqbv6fU7S5i3ekebTPgUllTwjzmrAcgvLufjVduV8JFaVdWO3WWVdE+Nfv9ZIiKdiZp0iXQu1wFTgbXOuSOA/YF978pERJqod1oKd569H7efPp7DRvRiZN9unDc1l0cun8olBw3CLDqdFUtoWd3r9jnUs1tSVMsvLCnnP4s28NayLVRUVTe5nG7JCRw1ug8AcQaj++npYuIpLK3ghucXc/Dtb/Pk3LWxDkdEpF1TDR+RzqXUOVdqZphZsnPuKzPbt4MMEZFm6Nk1mXOnDeDcaQNiHUqHVdPvTXZGap3hFx80iN1llSzZWMi3JmZzxMg+UV3unW8u55GP1gDwu2+N48IDBjapnLg441enjOXYMf3onZ7M1EGZDc8kncKKLbt5buEGAO55ewVnT8klIV6/UYuINIUSPiKdS56ZZQAvAm+a2U5gY0wjEhGRRnn8kzX86j9LAfjlSaO5OKDmVG6PLtx2+gSqqx3vfr2VJ+eu4+BhvRjaJ3SzrrLKKp5fmMeGghJOmZDNqKzw/fhXVTve/mpL7fulGwubtR49uiZx4oSsZpUhHc+Anl2YNqgH89bs5MwpOUr2iIg0gxI+Ip2Ic+40/+UtZvYO0B14LYYhiUgHsmN3GfnFZaQlJ5IVVPNEomPpxkJ+MXsJzu+n55aXlzJpUA/G98+oM93rSzdzzeOfAjCibzdmXXUAmSGekPbWsq3c9MKXAHyRt4tHr5gedtnxccZFBwzi1leWkRhvHDaicR1wi0SiV7dkHrhoCluKShncq+31PyUi0p4o4SPSSZhZHPC5c24cgHPuvRiHJCIdxJbCEmbNW8+jH69le3E5yQlxnDctl/OmDWSk+maJqpKKqtpkD4BzUFpetc90K7burn39zZbdbCkqC5nwqajc2w9PSYhygl1xyGCmDc6kS2IcI/qFrw0k0hwZXZPI6Brd/qdERDojJXxEOgnnXLWZLTazAc65dbGOR0Q6hu3FZfzk2c+Zszy/dlhZZTUPf7SWt7/ayoOXTGVEXyV9omVUvzRO2S+LlxZvAuDEcf0Ylb1v4uXAIT1JT0mgsLSSk8dnMTCzS8jyjhnTl5tOGEVeQQmnT+rf4PLj44yJuRnNWgcRERFpHeYCfyYSkQ7NzN7Ge0rXPKC4ZrhzbmbMggpjypQpbsGCBbEOQ0Qa8PT8ddzw/Bdhx1992BBuPGF0K0bUMX2Rt4ulm3aR1T2F/XIy+HjVDpxzHDS0J927hK4JsWrbbrYWlTE2K5201EQWrt3JPW8vJz7O+P6Rw5kQo8TN+h3F/P3dVRTsKefbM4YwcUD4x7Gv2FrEhyvyGd4njYOG9WrFKEUax8wWOuemxDoOEZFAquEj0rn8OtYBiEjH8saSLfWOf/TjtXx7xhAyu+7bnEgi88mq7Vz+8Hz2+E2ufnfqOC48sOGnYw3p3Y0hvff2gfLnN7/mwxXbAUiKj+NvF05umYAb8MKnG3ly3t6KpuHi2FNeyQ+fXsQXGwpJjDeev+YgJuRktFKUIiIi7Z8SPiKdSEP99pjZx865A1srHhFp/zbuKql3/J7yKvaUV5HZtZUC6oDeXLqlNtkD8Pf3VnD21BySEuJjGFXTdU3eG3f31PD9tJRVVLFiq1cZtaLKsaO4vMVjExER6UiU8BGRQCmxDkBE2pfx/buzbFNR2PFDe3ejhzpfbZaUxLqJnfSURIrLKhud8PnxMSNJjF9OvBlXHzY0miE2yllTcgDYXVbJafuH7zeoR9dk/nTmBB75aA0HDuvJ9MGZrRWiiIhIh6A+fESklpl96pybFOs4QH34iLQXb321hSseDn+s/urkMVx2yOBWjKjjWbl1N9fN+owvNxaSlpzAIcN78fHKfO48eyJHje5bO11haQWPfbyWtduLOWpUX44b16/Zy563egdLNhYwaUAm+6mzZpGw1IePiLRFcbEOQERERNqvw0f04fpjR4Qcd9rE/hE9+UnqN7RPNx65YhoPXjyZ0dnpvPrlZgpKKvnFi19SWrG3qdd/PtvAn17/mmcW5PHdpz7l682FzVru0k2FXPTQXH790jIu+9c81m3f09xVERERkVakJl0iEshiHYCItC/xccY1hw9jQk4Gb3+9lVVbd9OvewqHjezDYSN60S05MdYhtjufrMrnzaVb6ZacwCn7ZTGsTxo9uyaTm9mFeat31E5X6RzVATW1C0oqal9XVDmKSiubFcemghLKKqsB2LGngq1FpQzoGfrx7iIiItL2KOEjIoEuinUAItL+xMcZM0b0ZsaI3rEOpd37Iq+AS/45vzbR8ubSLTz97QNIS01kRN80bjpxFLe9+hVJ8XH8ZuZYuiTtvZQ7flw/Xl+yhS827OLKQwYzrn/3ZsUyeWAPTpmQxX+/2MT50wcwNju9WeWJiIhI61IfPiKdiJmdDvwB6INXm8cA55xrc1fx6sNHRDqjhz9czS0vLa0z7Nn/dwBTB/cEwDlH3s4SkuLj6Nt93372d5dVUFhSSZ+0ZBLim99yv6yyioLiCnp2S4pKeSIdlfrwEZG2SDV8RDqXPwKnOOeWxToQERHZV3ZGap33KYlx9Ou+d5iZkZsZvllVt+TEqDajS06Ip2/39vn4dxERkc5OCR+RzmWLkj0i0tFsKSzlwxX57CguZ3RWOlMHZZKU0D5ro8wY0Zvrjx3Jve+soGe3JH52wmhyM7tQXe2YNX8dzy3Io39mKtccNpQx2c1rsiUiIiIdmxI+Ip3LAjN7GngRKKsZ6Jz7d8wiEhFphi837uK7T3zKmoAnSF184EB+dsIoUpPa32VOSmI83z1yGEeO6s38NTv4eksh/densqO4nJte+BKAT9cXsHFnKU9+ezrJCap9IyIiIqG1vyshEWmOdGAPcGzAMAco4SMi7dJD76+uk+wBePTjtRw0tCfHj8uKUVTNU7CnnB8/s5hlm4sAePjDNVx7+NA603y5cRfFZZVK+IiIiEhYSviIdCLOuctiHYOISLRsLSzlP4s3hhy3aH1Bu034LNlYWJvsASgsraRrcgIpiXGUVnhP7zp5QjbdU5NiFaKIiIi0A0r4iHQiZpYCXAGMBWof7+KcuzxmQYmINFFyYjzpKQns3FOxz7jUxOjUfNm5p4zkhPg6jz9vab3TkoiPM6qq9z5JNTsjlUcvn8b7y/Pp0SWJU/fPJj7OWi0mERERaX+U8BHpXB4DvgKOA34DXACoE2cRaZe6pyZy2cGD+fOb39QZnhBnHDayd7PK3rCzhPvnrOTZBXn07Z7MNYcN5czJuREnWfJ2FDN39Q6SE+M5eGgvenSNvDbOiL7p3HbaOH7/yjJKK6q55rChHDysFymJ8UzzH88uIiIi0hAlfEQ6l2HOubPM7FTn3CNm9iTweqyDEhFpqosOGEhxWSX/+nAN5VXVDO7VhRuOH8XE3B7NKvf/3lrO0wvWA7Amfw83PP8FGV2SOG5svwbn/WpzIZf9cz6bCksBOGhoJvecP5nMRiR9zp46gKPG9KWisrrOY9lFREREIqWEj0jnUtPuocDMxgGbgUGxC0dE2qOKqmo+WbWdt7/ayvItRfTslswhw3pxxKg+9OqW3CoxbCsq5X/LtrBsYyHduyTxj4sn06NrEoN6diU9NbFZZW8sKOG5T/P2Gf7xyvyIEj6vfrGpNtkD8NHKHXy4Ip9T9stuVBw9u7bOthQREZGOSQkfkc7lATPrAfwC+A/QDfhlbEMSkfakrLKK/3trOfe+s7LO8NmLNjJpQAZ3njWRwb27tmgMGwtKuG7WZ8xfs7N2mBn86Yz9mJCT0ezykxLiSE2MY3dZVZ3hqYmRXTYFzwdQXF7Z7LhEREREGiMu1gGISOtxzj3onNvpnHvPOTfEOdfHOXdfrOMSkfbjv59v2ifZU+PTdQX8+c2vqQ7obLglvLR4Y51kD4Bz8OuXl7CxoKTZ5ffqlszVh9V9DHpyQhxHj+kT0fyHj+hNYFc/vbomcYD63hEREZFWpho+Ip2ImfUFbgWynXMnmNkY4EDn3EMxDk1E2oGyyiqenr++3mle/mITVx46hP1yM1osjjnLt4UcXlRayed5BWRnNL/PmysOGUzvtGTmrtpBemoiJ4zrx+SBmQ3Ot7O4nO3FZfzomBGs31lCz65JnDg+i0G9WrbWk4iIiEgwJXxEOpeHgX8BN/vvvwGeBpTwEZEGbS0sY+7qHfVO45zXaXFLJnzqe+R6YkJ0Ki+nJiVwztQBnDN1QMTz7Cmr5MZ/f87rS7bUDvv1zLGM6989KjGJiIiINIaadIl0Lr2cc88A1QDOuUpg384mRERCsMieSE58pBM20VGj+4YcntsjlckD6n861+6yCp6Zv46fPLeYW/7zJXO+CV1bqCnmr91ZJ9kD8Oc3v2b77rKoLUNa3/+WbeHaxxfy5Ny1ONeyzRVFRESiSTV8RDqXYjPrCTgAMzsA2BXbkESkvcjqnsoxo/vy5rItYaeJj7MWr9Fy0oQsPs8r4Kl5e5uX9eiSyO1nTCCjS/2PPr/rzeU8+MHq2vePfryWey+YxAnjssLO8/XmQr7espveaclMGpBBckLoGka7Syv2GVZYWklxeSU90RO32qOqasfv/7uM1fnFvPLlZg4c2pPBvbrFOiwREZGIKOEj0rn8CO/pXEPN7EOgN3BmbEMSkfYiPs44c3JOvQmfC6YPYFRWeovGkZ6SyG9OHcfMif1ZtnEX6amJHDS0V4N99yzbVMg/P1xdZ1i1g4c/XM0xo/uSEF+34nNVteOhD1bzh9e+osrviPq4sf347alj6ZOesk/5+w/oQa+uSeQXl9cOO3ViNrk9ujR1Vdu8BWt2sHRTIdMH92Rkv7RYhxN18XHGwcN6sjq/mMkDe5DZQEIxlr7YUEAcxlg1IRQREZ8SPiKdiHPuUzM7DBgJGPC1c27fn6RFRMI4dmxffnvqWG55aWltEqTG8eP68Z0jhoWcr7Kqmh3F5cTHGT27Nb+2S2J8HAcO6cmBQyJ/+tW2ojJCPUBs6cYi9pRXkZ5aN+Ezb/V2bn1lWZ1hry/ZzMTcDK45vO5TvACyM1K576LJ/PPDNSxeX8CJ4/txyUGDsBZu4haJzbtKeGb+esqqHKdP6s/Q3s2vpfLNliIu/uc89pRXMbR3V56/5qAGa1i1RzecMIpT9+vPoF5d6N5G1+/1LzdxzROfEmfGAxdP5shRoZs9iohI56KEj0gnYmbxwInAILzj/1gzwzn355gGJiLthplx0YGDmDIok3e/3sqmghJSkxM4cEhPDhjck5Skus2dqqodr325iWcX5PHe8m0kxcdx5uQcTtu/P1MGNfzUq2ga1qcbaSkJFJVW1hl+1Og+pKcm7jP9Z+sKQpbzv2VbQiZ8AKYMymTKoEwqq6r3qTEUSw++v7q2Kduyjbv452XTml3mjuJy9pR73cCtzi+muKyKjKDKTIvzCpg1dx19u6dw+cGDSE9tmwmT+qQlJzJ1cOvuq4311eYiqh1UO8fXm4uU8BEREUAJH5HO5iWgFPgCv+NmEZGmGJ2VzugGmm4553jog1Xc+spXtcPKKqt5Yu46nv80jwcumsKMEb3rzLNy6262FJaS2TWJkf3Solo7JjsjlV+fMpbrn1tcW9Mnq3sKlx08KOT0XZNDXyb16lo3abFk4y5e/WIzu0oqmD44k+PG9SOxDSV7ADbtKq19vXzr7qgkpPYfkMEPjxnOW0u3cuEBA+jfY98mdQ++v4qXFm8CYGBmV06b1L9Zy5TQjhvbj/lrdpIQbxwdplNzERHpfJTwEelccpxzE2IdhIh0Dks2FnL7q1+FHFdaUc0fX/uKKQN70CU5gbyde/j7eyt5et56KqsdZnDKhGy+c8SwqPYNc/rkHEb0S+PTdTtJTYzn4GHh+/45dHgvuqcksCuoRtDJ+2XXvl61bTeX/WseW4u8fnse+2Qtt542jvOnD4xazNFwztRcPlixjdKKan56/Kio1D5KTojnuqNGcN1RI8JO0yug+V5G131rUUl0jMpK5/Erp8c6DBERaWOU8BHpXF41s2Odc2/EOhAR6fjeX74tZJ85Nb7cWMjCdTuZOCCDG5/7gg9W5teOcw7+s3gjX28u5JHLp9Gve/0dMjfGuP7dI3qS2JDe3bj/4in8/d0VvPdNPoN6duHqw4Zywrh+tdO8vzy/NtlT47FP1nLWlNw6tXyqqx2L1hewtaiM/XK6k9VAB9PRNmNEb965/nAqq1zIDqdr7C6rYGNBCVnpqaSFaOYWqdKKKt79eiuTB/RgZN80enZN4rDhvRueUWp9s6WIeat3MCGnOxNyMmIdjoiItENK+Ih0Lp8AL5hZHFCB13Gzc8617CN1RKRT2lFcHtE0H6/YXifZE+jrLbt5+6utLVZjpsh/lHpaSujkxgFDejJlYA+27S4jPSWBrsl1p3Nu34xWRZUjePDDH63hNy8vBaBfegoPXjqFcdndcc61WqfOmV3r7yx7Z3E51z+3mLeWbeXAIZncde7+9K0nOVSfZxas55ezlwDw57P345ix/RqYQwIVl1dy3axFLNtUSJ+0JF7+3qH1JupERERCUcJHpHO5EzgQ+MKFuksREYmi3t0avkHt3S2ZT1Zvr3eaLzYURiukWlsKS3jko7U8PnctSfFxXHzgIC46YCA9uu7bqXBCfBxZYWoYHTysFxldEinYs/eBhxcfMJCkhL21ezbvKuGPr39F16R4Dhjak7KKap6au46M1EReW7KZ48f14+rDh5KWHNsmT19s2MVby7YC8PGqHXy2didHju5DUkJ8A3Pua8POktrXgf0HSWQqqxxbCr1tuHNPBWWV6nZPREQaTwkfkc5lOfClkj0i0hpmjOjFH163fR7fXmP/3AwmD+zBgrU76i0nMT66NWCcc9z5xnKeWbC+dtif3/yG0ooqfnr8qEaVNbxvGg9fOo3/fr6RnSUVHDgkk5MmZNeZpqrae1rZoSN78+bSLQB8sAImDehBwZ4K7n1nJTkZXThv+oDmr1wzZGekkp6SQGFpJckJcWzYVcqhf3yHibkZ3HTiaAb27BpxWaft35+NBSUkJcZx0oSsFoy6Y+qemsj/nbs/73y1jelDMsnN7NLwTCIiIkGU8BHpXDYB75rZq0BZzUA9ll1EWsKorHR+fcpYfj77y33GdU9J4MYTRpGcGN/g49mnDOwR1biWb93NswvX7zP8oQ9Wc/GBAxvdX9DEARlMHJARdnz/Hqlcc/hQFq7dWWf4p+t2csiwXnywIp+dexpu/tbShvXpxiOXTeOz9Tvp0TWZHz+ziGoHry/ZwrA+afzkuJH1zl9RVV3bb9GorHT+ev6k1gibLzfs4oH3V9IvzdvOoWpptUeHDO/NIer3SEREmqFtPTNURFraauAtIAlIC/gTEWkRFxwwgH9eOoVT98smLTmBnl2TuPqwITx+5QFMH9ITgCkDMzl3am7I+Q8f0ZvDRkT3pre0omqfPnbAe2R8SUVVVJdV49rDhzGgR91aGskJcVRUVdOraxKHDO/VIsttrP0H9uDyQ4bQq2tSnQ63K+ppUlRWWcUdr3/FjD++w8Mfrg7Zr1FLmr1oA/9ZtIkH3l/FJ6vqbx4oIiLSmaiGj0gn4pz7dX3jzeyvzrnvtVY8ItLxmRlHjurLkaP6UlRaQXyc0SVp7+VHaUUVn67dyZSBPRjcqyuvfLmJxet30bNrEpccNIhzpubSvUt0a2yM6JPGfjndWZy3q87wY0b3ZWBm5M2WGiMlMZ4LDhjIByvyWb+zhDiDHxw9nCE9uzKsbxpD+3RrkeU21dTBmVx5yGD++eFqRmelc/qk/mGn/WZzEfe8sxKA37y8lOPH9YvqU9UaMqqf99yBjC6JDOyppk8iIiI1TF15iEgNM/vUOdc6dfAbMGXKFLdgwYJYhyEiLeiLvF389uUlzFuzt6nTIcN68p0jhzG6XzoZUU70BFq4dgc/fe5zVm4rBmB8/3RuP2MCY7Mbflx7c2zfXcYXG3bRNz2F0Vlt+wGJVdWO/KJSuqUm0jUp/G+EW4tKOf+BT1ixrZgDhmRy3VHDGdUvvdWaVjnn+HLDLtJSExnUiH6GRKLJzBY656bEOg4RkUBK+IhILSV8RKS1bCsq5ez7PmH19uJ9xo3LTufJq6aTntqyCYNdeypYnFdAfJwxcUBGvUkNqd+67cUszivgpcUbeWPpVk4c34+/nDOR5CY84UukPVLCR0TaIl3ZiIiISKt7f3l+yGQPwJcbC/lgRT4njs8OOb4pSsqr+GhlPks3FtKrWxIzRvahf0YqM6LcP1BnNaBnV/J3l/PGUu+x7m8s2UJhSSW905TwERERiRUlfEQkUHSffSwiEsaqbaGTPXvH79lnWMGecl7+fBNvLdtKcXkFh43owykTshjQQDOekvIqfvPyEp6at/fJXAMyU7n/oiltvllVW/J5XgFLNu5i/9wejAqx3Ub2S+OC6QP4z6KNfO+o4fTq1jGeliUiItJeKeEjIoHujnUAItI5pKXUfwmSHjR+T1klv5y9hP8s3lg7bN7qnby8eCP3XzS53qTPRyvz6yR7ANbtKGHW/HX8eua4JkTfctZuL2bJxkJyeqQyvn93zJqXh5+7ejtbC8uYOqhHszpSXrltNxc9OJddpZXkZKTy/DUH0bd7Sp1puiYn8NtTx3HD8aNIT01sVtwiIiLSfHosu0gnYmZvmllGwPseZvZ6zXvn3MOxiEtEOp+Dh/UkLkwuIzHeOHhY3ceUf7Rqe51kT41lm4t49cvN9S5r2aaikMPfXLKFyqrwjxtvbZ+syufkv37AtU98yqn3fshT89Y1q7xXv9zEeQ98wvee+owfPL2IXXvKm1zW5l2l7CqtBCCvoIT84rKQ08XFWYske8oqq3h58Ub+vXA9u8sqol5+e+OcY/7qHcxfvSPWoYiISBumhI9I59LLOVdQ88Y5txPoE7twRKSzGtc/g1+ePHaf4XEGt542fp/HlH8e9Aj1QB+uyK93Wb3SQjctGt4vjYT4tnMpNGveeor8pIpzcPurX7GtKHRiJRIL1+6k2n82xyerdpBXUNLksvbL7c55U3NJTYzn2sOGMrxPWpPLaoqXFm/iu099xo+e/Zwn5zYvEdYRvLl0C2c/8DFnP/AxbyytP+EpIiKdl5p0iXQu1WY2wDm3DsDMBgJ6VJ+IxMQlBw1kRN9uvPPVVjbuKiG3RxeOHN2HaYN77jNtSkL4xEy3lH1rlBTsKWf+6h3sqahibFY6Q3p1YVX+3n6BzOC8qbnRWZEo2VVSWef9nvIqyiqqmlze+P57HzE/Iac72RlNa9L1xYYCtu8u58bjR/HT40eR0SWx2U3NQqmqdjjnQibhtu8uC3jd9JpKHcXGghJqHrS7uaA0tsGIiEibpYSPSOdyM/CBmb3nv58BfDuG8YhIJ2ZmHDSsFwcFNd8K5YCh+yaBahw+su6Ttr7aVMgPnl7EV5u9plypifH89tSxLN1UyBtLtzC8TzfOmZrLcWP7NW8FouzUidm88/XW2veXHDiQnMwuTS7vlAnZZKQmsqWwlAOH9qRHl8Z3ovzWsi38v8cWUlnt+NbEbG4/Y0KLJHuWbNjFL2cvobSyit+cOpbJAzPrjD9lv2y2FpVRWlHFWVNyor78tmb77jK2FpUxvE+3kAmwE8dnsa2oDDM4flzb2o9FRKTtMOf0475IZ2JmvYAD8J7I9bFzrv62EDEyZcoUt2DBgliHISJthHOORz5aw69fXkrgpcs5U3P4+cljSEveW8vnhuc/5+n5dTtp7tUtidd+cCiZXZKJC9d5UIxVVzve+2Ybi9bvJDezC8eN6UdajDs/vvW/S3ng/dW17z+44QhyejQ9CRXOH177ikc/WsP4nO5M6N+dm04aE/VltBdbC0u58pEFfL5hFz8/aTRXHjok1iFJBMxsoXNuSqzjEBEJpBo+Ip2AmY1yzn1lZpP8QTU9nw7wm3h9GqvYREQiYWZcctAg9h/Qg49Xbaeispr9cjOYNjiTlMT42ukKSyp45fNN+8yfv7ucZZuKOHR4yj7jWsqO3eU8OW8t63bsYdKAHpwxOYfEevoMioszjhjVhyNGtZ2u1cZm720WdvDQnmQ2oZZQJHJ7pHLI8N68tWwLfdNTKKusYsWW3ezcU87UwZkkJ8Q3XEgrKK+spqi0gp7dkltsGRsKSvh8g9dn1ed5BWzfXdaiyxMRkY5LCR+RzuFHeE237gwxzgFHtm44IiKNZ2bsl5vBfrkZYadJToxjYM8ufLmxMGhempWsWLe9mJc+38S6HcUM75PGKftl0ze9/uTRg++v4m/vrQTgmQV5JCfEcdqk9tUc6ZT9ssnoksi23eUcMqwnXZKjf+k4b/V23lyymS83FVFZ7Vi1rZgPlm/ju08uoqSiiptOHMW3ZwyN+nIbq6isgl+8uIRXPt/Er08dy3nTBkQ03+L1BZjBhJyMiKYfnZXO944cxrKNhTgHB93+Nr88eQwXHDCwGdGLiEhnpISPSCfgnPu2//+IWMciItKSkhPiueyQwfz4mcV1hp81OYfRWelNKnN7cRnfefIzvtiw90lhH63Yzt8unFSndlGwuWvqPjL7m627m7T8WIqLMw4b2bI1jj5Ykc9Hq3ZwxKg+7C6pZEX+bq55/DOOGNWb15dsYfW2Yp7/dD1FJZXMnNifzK4tU8uoIeu27+HFzzYA8Oz89RElfF5avJHvz/oMA+49fxInjM9qcJ6UxHh+fOxIvt5cyHF3vQ/AYx+vVcJHREQare08i1REWoWZHWRm55vZxTV/sY5JRCSavjWxP/ectz8njOvH9MGZ3HziKG48YXST++75eOX2OskegLe/3sqn63bWO9/0QXU7Hh7Zt1uYKTu36YN7khhvLFq3kyNH92bzrlLKq6r5/+3dZ3hc1bn28ftRr1YvVnOR5d4rYJtqek3ocFIJBAIkpCeHk/6mkMZJO0lISCEQeiBA6L3j3nuXLFuWbPVe1vthxkK22kiWPNLM/3ddvizt2XvPM6Ot8czttZ5lkkalxGjCyHh9+ZG1+u7TG/Xo8sJezzdYRqXE6PLZ2YoOD9XV831b4W1jcaWck9qctHF/Ve8HdJCXHKOr5uYoKjxEHzuZsAcA0HeM8AGCiJn9Q1K+pNWSjqz16yTd56+a0H8Nza1auuuwth2sVlublJkQ5emxQa8HBLnQENNFM7J00YysATlfbWNLn7Yf8ZnFYxUbGabC8jrNzE3UhdMHpp5As3Bcql750ukKDTU1t7Rp6a5yFVfU6zOLx2p6TqLe3lbavm9YP0K7t7aV6tm1+zU9N1FXz83td/AXFxmun1w+Xf9z0eSjVjxbv69ShYfrdHJ+ihKPmTZ49uRMvbCxRGEhpiWT+jZSKjoiTD/6yDR984KJSorhdR0A0HcEPkBwmStpsmN5vmHvtS0H9dtXt2nFnoqjtmeMiNTnTs/X1fPyepxqAvhTQ3OrNhRXqb6pRaNTYwdl1aeBNGdUsiLDQtTY0ta+LT0+ssdeQpKUHBehW88cN8jVDX9tbU7PrtuvJ1bv02Uzs/V/13vWFzgSzJw2IV2/v362qhpadP60TG3YV6mIsBAVZMT3eu6axmZ9+ZE1qmls0dLd5ZqYEa9Zo5L6XWt4aMhRYc+WA1W6+p73VNvYqhsWjda3Lppy1P6zRyXpP7cvkskUFfHha3Jza5te2ViiFue0ZFJGt6/XYaEhhD0AgH4j8AGCy3pJmZI6L2GDYePFDQf0uQdWqqWtc25XUtWo7zy1UQerG3XHkvE9rgjUX82tbdpZWqPaxlZFhodobGqsoiP458TfGppb1dzSptjIsCG77Lgkvb2tVHe/vE0r9nimQ0WHh+rGU8fqU6eMVpKferP0Zlx6nH5//Wzd/fJWrdtXpZPGJuuLS8YrPf7ErfgVyLaWVOt7z2yUJK0tqtRJY1M0OevDfkuhIdbe++b59fv1uQdWKjw0RPffsEDzxiR3ec4jwkNCNCkzXmamTQeqtHT34S4Dnze2HtTKPeVaMilTcZFh2lJSpZm5icpMiO7x/KXVjapt9AyY3X6wtst9unp9fGHDAd32z1WSpJ9dOV1XzvFtithwUN3QrLjIMJkN3dchAAgWvEMHgkuqpI1mtlRS45GNzrlL/FcS+mJ/Rb2+8tiaLsOejn732g7NHpWksyZmDNh9V9Y16ZXNB/XEqn16a1tZ+/Zp2SN09bw8LZmU3uuHIwysppY2Ld11WC9uPKDn1h1QY2urxqfH6yOzs3XGhHRlJQ6tn8eKPYf1mfuWq6H5w5Ey9c2t+vUr21RR26jvXTrVLx8Sl+8+rLe3l0lOWlSQqrmjO4cIZ07K0Cn5qTpc16TUuEhFhNEGcaAkRIcrPT5CB6ublBoboYTo7t+ebiupUZuTGlvatLOsptfAJzI8VNctGKXP3r9CkvSLF7fqijk5Ry1zvq+8Tjfdt0KNLW16e3uZzEnL91botPGp+tPH5/X4s547OllfP2+CtpXU6Bof+/pIUn1Ta/vXDR2+Hs7a2pz+8OYO/fGNnfqvk/IG7T8dAAC+I/ABgst3/V0Ajs/rW0pVVd9z35Ajnlu3f8ACn/0V9frWv9fr5U0HO922bl+V1u1br4eWjtAvrpqhCZn9WwkJfVPb2KJfvrRV976966jty/eUa/mecuUkRutX187UnFE9fyA+kZ5Yte+osKejf3ywV1fMzfV56eqB8ty6/brtwVVq9Yaov3ltu3573SydP7XzakpREaHKihhaIdpAaGpp02tbDqqxuVVnTEpXfGS4T8ftOFijlzYd0OiUWJ07JbPfYd3IxGjd+4l5WrW3QjPzEpXdwxS/C6aP1J7DdYqLDNXpPq4eNjUnQaNSYrTnUJ2unZ+rn72wRVOzRuiaeXkKCwtRWEiIEqLDdLC6SfFR4VpdWCFJWlVYoYbm1h4Dn6jwUN1yum/T9ppa2vTvNft0sKpB50zO0PcvnaKWVqdLBqjXlL+V1TTqFy9uVWub0+9e26Er5+RodCqNygHAnwh8gCDinHvDzDIkzfNuWuqc6/wJHkPW0mOWee7JE6uK9ZVzJhz3qJuaxmZ996kNXYY9Ha0vrtKXH1mjez4+t08jSw7VNOqNraVav69S9U2tiokM1czcJC0uSO3UABUf+vNbOzuFPR0VVdTrtn+u0j9umK9x6b33OhlsNQ0tempNcbe3O+eZznMiA5+Gplb97rXt7WGPJM+H1Ve364zx6Uf1XAlkj68o0jefWCdJ+uKSAn1hyfhej2ltc/qfJ9fpvZ2e16R/3DBfiwvS+l3DtJxETfPhZ5+fFqefXzmjT+fOTozWfZ+erz2HavWnt3a1j1DcfbhWt5w2ThkJUbr3E/O1cX+lTh6bore2l+mdbWW6eEaWRkT7Fn754tXNJfrqo2slScUVDfrhR6YN2LmHgsSYCF02M1uPryzSOZMzlMaURwDwOwIfIIiY2VWSfibpdUkm6Tdm9lXn3GPHed7zJP1KUqikPzvnfnLM7ea9/QJJdZI+6ZxbeTz3GawO1zb5vG9rm1N9N6Mp+uLd7Yf0wsYSn/ZdX1yllzYe0CdOGdPrvs2tbXpkeaF+9fI2HaxuPObW3cpNitYdSwr0kVk5Q7onjT/sKq3R717b0et++ysb9MKGkiER+MicQnoZAXKif8yV9U1aX9x5qez1xVWqrG9SVACO5unKrrKa9q+3HazpYc8Ptba1qbiyof37qvrmAa3JOafS6kaNiA4fkAb0o1JiNSolVm9vO6S3tpUpY0Sklu4q1+JxlTptQrqm5SRoWk6CJOn6lFhdv2BglkE/UNmg8romTciIV3OHYLGxn6/NNQ3NemFDiaIjQnXO5AyFDaEpUxFhIfr+pVN0w6Ixyk2KVmxk3z5mNLW0qbGlVfFRAxeyAUCwGzr/SgA4Ee6UNM859wnn3MclzZf0reM5oZmFSvqdpPMlTZZ0rZlNPma38yUVeP/cJOn3x3OfwSxjhO+rtUSGhSg28vg/KD27rm89vh9aWqjapp6nnbW2Of3fa9t15xPruwh7PArL6/XlR9fqr+/sEgvLHe21LQfV1OrbB8Z/vLdb5XW+B4WDJS4yXB+dld3t7aEhppm5/V89qT+S4yK1uCC10/ZFBalKjguelZHOmzpSo1NjlBwbrivm5Ph0TERYqH542VRdOG2k7lhSoNMm9H90T1fue2+PTv7Jq/rCQ6tV0c31W1bdqO89vUFffmS1tpR0Du46Kq9t0k+f36zmljZ98/wJykuK0eiUGO0sq9H6fZUDWvsRuw/V6up73tP5v3pLDy/fqyUTM/Sdiyfr5tPy9dnTxvbrnI+t3KcvP7pGn3tgpV7d7Bl1Wd/UosO1H76Odvd6WdvYoqfXFOuljQfU4uPrR0/a2pxe2nhA//xgj15cf0APLytUc2ubJmeNUHwfR0Ydqm3U7Q+u1MK7XtXz61lXAgAGCiN8gOAScswUrkM6/uB3vqTtzrmdkmRmD0m6VNLGDvtcKuk+73Lw75tZopmNdM7xrq6PTs5P0SPLi3za97r5uce9ilBpdYOeWdu3H9OmA9XaXlKtGT18eH9+w37d/fI2n873g/9sUn56nM/9OoJBUXm9z/seqGrUwaqGo5aSPtbhmkYt3V2u6oZmpcRFaN7o5EH5X/bLZmXr8RVFqmzoHAh+ZtGYo1ZmOhHCQ0N06xnjtH5fpcrrPCNUEmPCddsZ44Kq2eyRpcNb29SnKUyLCtK0qB/TuJ7fsF+vbDqoUwtSNT0nUaNSYo+6va3N6d63d6q1zemFDQd04+IxXTbSfnNbqf76zm5JUnZStCac3f3189LGA/q/1z2j4i6fnaPfXDdTX310nb739CZlxEfpmc8v7DQF6d+r92nFnnJdOG2kFoxN6fVxNTa3qq6ptX21uT1ltdpzqE6Sd/WxMalqbG7VvNFJPi0p35WOQU1zm1Ph4Tp96ZHV2lBcpR99ZKpe31KqLSXV+vp5E9tfM4vK65QQFa4Hl+7Vj57bLEn69TWzdMnM4+sd9MbWUt14n6cZ9ukT0vTG1lKVVo/XbWcW9PlcW/ZX64UNnpGkL24o0Xld9NACAPQdgQ8QXJ43sxckPej9/mpJzx3nObMlFXb4vkjSAh/2ydYxy8Ob2U3yjABSXl7ecZYVmE4rSFNOYrSKKnr+wG8mnTs187jvr7GlrdcVwbrSXWNeyTO6518r9vXpfM+s2U/g04Gpb3Ofumume2Ra3a9f2aaSqg9HCOSnxemLSwp04fSRA7pq1vScRN37yXn601s72z/cpcdH6qZTx/ZphaOBdNLYFD112yJ9sOuQJGnBmBTlJnffNDhQxfrYqPl4Ha5t1BcfWqNJI0fovR2HtK+iXj/6yDRdO//D1/yQENP1C0bpx89t1qJxKRqTFtvlucakxio2MlR1Ta0a30uA0nFVrowREUqPj1Z1Q7MiQkMUEWZqaT36dW5Xaa2++PBqtTlpdWGFnrptUY/nP1BZry8/ukar91bo7qtn6pwpmZo9Kkk3Lh6jTfur9NFZ2fr9G9v1yPIihYaYnr5tkUanxKiool65SdGKjghTeW2Tmtva2oP6feX1enZ9sUYlx+qcKZ7X88tn5ygs1BQTEaazJqbrpY0lWra7XJL0/PoSPb/hgCTpVy9v0+kT0vXQsr365r/WaUZOgqZnJ7bXW1LV878hDc2tOlBZr8yE6PYpdVX1nuXWK+ubFBUeetTIwcbmNoWFmJpa+jdyaHxGvBYXpGrprsM6cyKv9QAwUAh8gCDinPuqmV0uaaE8PXzucc49cZyn7erT4LEJgS/7yDl3j6R7JGnu3LnM4elCclykfnHVDN1433JVdTFK4ojvXTxFJ43tPFWlr6LDQxURGuLz9KEjYnqYSramsEKvbO5br/AnVu/TjaeOYQUwr/x031e+yU+L1ciErkd6/eO9Pfr+Mxs7bd9RWqPbH1ql2sYWzRuTrIyEKMVGDMxbhrmjkzU7L0nbD1arrrlVeUkxfp8+lZscE5Qhjz9EhYdq4sh4xUSEto9Ue2JV0VGBjyR9ZvFYnTc1U8lxEd2uGjYrL0lP37ZIdU2tmpqd0OP9njEhXX/+xFwdrm3SkkkZCgkxfffiKXpw2V5tOlCtLSXVGtmh2XxcVKhGJcdq16FaTeglTCqvbdLf39utd7Z7QsPXNh/UOVMyFR8Vrjsv/HCG879Xe5qWh4WYJKf/fmKdnlxdrMtn5+iTp4zS5x5YqcN1TfrD9XO0eHya/vLOTt379m6FmPT4LadoVl6SkmIj9MkOPdKmZI3QmJRY7Tlcq9PGp2pVYblKqho1IdNT87Nr98s5aXVhpT61cLSqG5sVGxGmC6Z1P7qnoblV3/73Bj2yvFDXLcjVty6convf3qk/vrFTnzhllP7yzm5NyRqhH390mr5wVoEOVDZoZm6CLpw+UqeO79+/O6nxkfrTx+aqprFFqfHBM50SAAYbgQ8QZJxzj5vZS/L+/ptZsnPO96WfOiuS1PG/5nMkHbsUjy/7wEcLxqbo75+er/vf36MnVxcftcLQgjHJ+vhJo3TB9IEZDp8SF6nL52TrwaWFve/sNWdUkgp6aBJcWF7X5zpa25yKyusDIvBpbGnVwapGNba0KS4ytF+rqJ0+IVWxkaGqbWztdd9r5+d1OT1rz6Fa3fX85m6Pc066++VtSogOl5PTtfPzdMmMrKNGSvRXSIhpfAD8LIeDusYW/Xt1scpqGnXOlMz2IOCIdfsqtK2kRvNGJyk3ueuRNAOlqaVVMRFh+tXVM7Vsd7n2Hq7T3sN1uqiL8CE0xDQqJVYlVfX6n3+tV1F5ne68cLJmjzp6qujYNN/Cz5AQ05JJGUdta5P0sHeK7B/f3KnW1jadNdkzkiYtPkr3fnKudpTWdLrPY725rVSvbynVlKwR2nOoTmdO6nqEyq1njNPEkSM0Lj1WI6LD9aQ3AHp8ZZFm5IxQYXm90uIitaqwXIvHpynU28XczLpteD42LU6P33Ky3tlepu89s1HjM+L11XMmtI+IvHRmtt7dcUhzRiVpwZgUXTqz9x5NZTWNemS55zX/nx8U6r9OGqWfv7hVkrT5QLWaW9u0bHe51hRWamtJtaobmnXu1Az97Pkt+t1r23X31TN1kg9T4I4VFREaNCvjAcCJQuADBBEz+6yk70uql+e9rue/GaX+dY/0WCapwMzGSNon6RpJ1x2zz1OSbvP291kgqZL+PcdnVl6SZuUl6TOLx2rbwRq1tbUpMyFas/ISFRk2sG+Yz52S2afA54rZOT2uquP6MUVM0lHB1nBUUlWv17eU6l8r9+mDXZ6MNSzE9NHZ2TpvaqZOHpuiaB9H0WQlxuir507Ud5/a0ON+EzPjdV43U/ve3Faqxl6mXxyoatD4jDi9ua1M33t6o97cWqqfXTEjKP4H/mBVg8JCTcmxw/uxPrqiUN95yjOK69l1+/XIzSe3B4BbS6p13Z8+UHVDi+aMStJ9N8wfsJFcHbW1Of313d364xs7dObEdH3j/Im6fE6OTh2fqor6Zo3rIbT5YNdh/XuNJxh5fsP+XsOXvshJjtbkrHhtLK5WUky4vvHEOr2en9I+vW1sWpxPgVJecox2ldUqJTZSP718us6e3PXv3MjEaP3XSZ7Vv5pb2/Slswt079u7dOvp4zQ9J1EfP3mUlu06rP2VDapubNanF45RbnKM8pJiNSM3sdv7T46L1Ae7D6uspkllNYd0w6Ix7b+jl8/J0eKCVMVFhinGx1Wz0uOj9OmFo/W3d3frM4vGKicpWmdMSJNzUlV9ixbmpyoxJkJV9U16br1nCllucow2HaiWJL2+5WC/Ap/BsraoQvVNrZo3OpkVHwEEHQIfILh8RdIU51zZQJ3QOddiZrdJekGeZdn/4pzbYGY3e2//g6Rn5VmSfbs8y7J/aqDuP9hNGjlCk0YO7kiJk8am6Io5OXpsRe/Nok8am6yzp2T0uM+RhqZ91d/jhoI1hRX60iOrtaO09qjtLW1Ojywv0iPLi3TZzCzdeeGkTo1ju3Pd/Dw1Nrfqruc3q6ssbEZugu766HTlJHU9VelQtW8rd7V2WPHntS2lenj5Xt16Rt+bsg4XpdUN+v3rO3T/+3sVEWb67Gn5+vTCMX1eYnqoKOzQ4HtzSbWqG1raA58DlQ2q9k4NXV1YoZr6lkEJfLaX1ugH3qmDDy0r1KKCVF00PUtp8VG9Xu8TMuKVlRilg1WNmpXXv7Cn8HCdfvPqNrU6p8+fWdDeJDo9Pko//sg0/eqVbXp7e5lm5iQqoh+B+ay8JD112yLVNLRoVl6iT8es3FOut7aV6dzJmXpxQ4l++fJWnTUxXZsOVGvTgWpdMiNLJ+en6mMnjfbpfKcWpOnR5UWakjVCE48ZPZc+om/N+yPCQvTfF0zSzaflKzk2QmGhIfr5VTP0g6c36vWtpZKkX109U2GhH4Yn4zPilRQTrtpGT7AyVLy1rVSf+usytbQ5/fTy6bpqnn96hQGAvwzPdy8A+muHPIHLgHLOPStPqNNx2x86fO0k3TrQ94sTIyo8VP99wSRJ6jH0WTQuRT/6yDSl9jLlZ87oJI1Li9P20hqfa5g/JlnTc3ru0TFUbT5QpVseWKHiioYe93tydbFa2px+fPm0bnuWdBQRFqLPnpavxQVpem3LQX2w85BqGlpUkBGvMyamaWF+ao9LI8dF+fYW4NipJH9/d4+unpfX6895uPrH+3v0F+/KT02t0i9e3KqU2Ahdt2CUfwvrp3OnZOrJlftUVtukLy4pUGaHD/+zRiXqYyeN0gsbDuj2M8cpo5teT8crLjJMSTHh7Suh9bRi3LEmZI7QE59bqPqmFqXGRer+93ZL8qz4FufjSnKvbCppX91wUsYIfebUDwe1zshN0hfOGq9tJdU6KT/Fp9XZPth5SEXldTptfLqeXLVPj68q0o2Lx+qjs31b0l6SnlpTrGW7y7Vsd7kWjktRQ3Nbezg7KTNeo/o4ve6cKZl65+tnKjoydEBCu7DQkKOCopTYSE3JStCTq4sVHR6q0amxmp6ToAc+E6GG5lYtKkjVeVMy1dzWprxBnhrYF7vLatsXHthR5vu/OQAQKAh8gODyTUnvmtkHktqX5HHOfd5/JWE4SI6N0A8unaoLpmXq+fUH9PjKfe1TrM6ZnKGLZ2RpcYFnmH9v4iLDdd2CvC6bBXfn8tnZAz5VbTA457TtYLUq65oVGhKinORo3f/+nl7DniOeWbtf50zO0CUzs32+z8lZIzQ5a4RuPWNcn2o9aWyKQkxdjg46Ij4yrFOfoIPVjdp5sCYgA5+mllY93kWo+d6OQ90GPm1tTpX1TYqLCh+SS7nPG52s/3xhsaoamjU2Ne6oKS3xkeH6wWVT9T8XTlJkD9Mwj1dWYrTu+dhcvbW9VBMzR+iU/L5N98nwBg8PLdur//m3ZxpjeFiIrp7n22qOBRnxigwLUZtzKsiMV21jiw5WNyg7MUYRYSGakZvY45Spjjbsq9TH7l2qptY23bh4jP701i5J0k+e26wLp430+XmclZeofy7dq9ykGI1JiVVtQ4sunJ6py+fkKCU2ol+9so6datnQ3KrXtxxUdHioFhekHfd0po+fMkqTs+KVEhupid6RpQvHfdikuWPT66HirIkZWltUqcr6Jl0y/fiWoQeA4YjABwguf5T0qqR18vTwAXwWHRGqMydm6MyJGfrS2eNV19SqyLBQjUyI6vMHiUtnZunNraXt0wN6csG0TF0wdWCaUA+WusYWvb61VM+sKdZzGw7oyCyosyam6a1th/p0rn+vLtaF07PaG7YOlilZI/Txkz19Orpzcn6KXtpUMqh1DCVhISHKSYrRvmMCuuRuphOuKarQ71/frtc2l2ruqCTdcnq+FhWk9ek+1++r1Ae7DishOkznTs30aXRXd0oqG3SotkljUmOO6geVMSKqPTTpymCGPUfMG5OseWP6P9WnorZR1fXN7d8fG66VVNXr5y9s1f7Ken35nAlHTf9aOC5V//n8YjnnlJkQpS8+vFovbizRLaeN1dfOmyjrpiFyVxpaWttXLWxsadO5kzP0wsYSXTyj97DnmTXFenNbqc6Zkqkr5uRqek6iEmPClR4fpbY2N+D9ZR5etre9f9MfPzZH507pureQryLDQrVwXN+ub3/LSorWz66c4e8yAMBvCHyA4NLinPuSv4vA8NeflaU6SomL1I8/Ok0/eGajnvU2/ezK5bOz9c3zJ/U4Ncnfymub9KNnN+nRLkaGNLW6Pi9p/8rmg9pyoFqTswa3N5OZ6QtnFajNOf3j/T3q0KpHYSGmU8enaU1RxVHbJSk1LkJj0obOlI2BFBJi+sTJo7R09+H2xx0ZFqILpnUOHCvrmvWlh9doh3dq4js7DmlNUYWeuX2xRqf69vxs2Fep6//8virrPX101hZV6jsXT+lX2Ld6b4Vuvn+FDlQ16COzsvT9y6b2GB7tLK3RBzsPaUxa3JBqsNuVx5YX6jevbdfMnARdMTtb88ckd/qZvLm1TI+tLFJyTISeXLWvU7+fceme5ssb91fpxY2eEPOBpZ5+VL5Ob5Sk2XlJ+vU1M7X7UK0umZmtlNgIfamivr0vkORpML9092HFRYZqWnaiJE8T8C8+slrNrU6vbTmoU756hsZ3WO59MJoJH+zQp+tQTWMPewIAAhWBDxBcXjOzmyQ9raOndB3PsuxAv4xMjNYvr56pa+Yf1ksbD+jptftV2+hpKPuRWVlaMilDc0YlKyJscKbJbCup1tvby3SopklmUk5itBaPT1NWH6YlNLW06WcvbO4y7JHUKSzxVUW9bw2Ve9LQ1Kqluw5r9yFPo+isxCidlJ+iuA4hQFJshL53yRRdPjtH7+4oU1F5vfYerpNz0jvby7pcxevjJ4/2ubH0cHTB9CzdHxOht7eXKSLUdMbEdM3M7dwseG1RRXvYc0RNY6uW7z7sc+CzdPeh9rBHkh74YK9uPb1/vXRe2HhAB6o8I5OeWFWsq+bm6eRupk6V1zXp1gdWatOBaoWFmB686aQh1Wi3o8bmVt31whaVVjdqz6E6LRyXopzkmPaVAHeU1mj57sNKignXxdNGaltpjWIiQrsdMTM6OUZXzc3Ryj3lOnV8ml7dfFAXTMtUmI/T8cys05TLCZlHB2tPrCrSVx5dq4jQED1w4wLNG52s2KgwzcxN1LLd5Zqdl6SIEzD974o52apvalFMpGf0GAAg+BD4AMHlyHLp3+yw7XiXZQf6LSo8VKeOT9Op49P09fMnqrG5TdERoYoZhJWCjthaUq2/vrNLj60oUnPr0YlMXGSoPnHKaH385NE9ToE5Yvmew/pnD0vWO/Uv8QkPOb4Pg8+t268/vLFDa4oqj9o+ISNOt54xTilxkWpobtWI6DBNy05s72HS1NKmu1/eot+/vrPL8y4uSNU1QbDKzcJxqUf1JulKTETX03eiI32fHpUYffRUsYwRkd2etzcpHaadhYeakmK6H91TXtvUvoR2S5vTnkN1QzbwiQwP1ZJJ6XpwaaFGpcQoLylGk7yrUDW2tOprj67Vir3lGpUco4SYMG3aX61N+6t1xZxc5ad3XlI9JjJM/++yafr969t198vbJO1WfNRcnTGx59UFW9ucnt+wXxW1zTp/2shup/lJUuFhz8poTa1tKq7wfB0bEabfXDtLWw5Ua0p2gs8B0/EYkxqnb188ZdDvBwAwdBH4AEHCzEIkfcM597C/awG6EhcZrsHuA7yhuFK33L9Cew/Xd3l7TWOrfvfaDq3cW65fXjmz1yakL23ofjqa5OkJ01dxkWF6c9tBPb6ySFmJ0TpjQpqmZif43Gfk0eWF+trjazuNLspNjlZ2Uox++sIWFXVYqnt2XqKuXzBKl8zMUkRYiO5YMl7jM+L16PJCvbvDM/hvTGqMrl8wSpfNzO7UGDZYTctJ1AXTMvXsug+vgek5CTp5bM9BUUfnTMnUpxdW6h/v71F6fKTuunx6v6cvXjknR40tbSo8XKczJ6a3N9XtSm5yjG46dazueXOnZuUlasFx9NY5Ee68cJIunZmlmIhQjUuLV0yk5+2ra5MO13pGw1XUNenMiWlaW1Sl6dkJSonrPpCJCAs5avn1Y1ei68prm0t06wOrJEmlNY26Y8n4bve9bFaWqhqalRgdrtPHf9jzJjMh+rinwwIA0Bfm+jveHMCwY2ZvOudO9Xcdvpg7d65bvny5v8tAACmva9L1f/5AG4urfNr/qjk5uuuK6TIztbU5rdtXqX0VnulOKbGRyk+L1ek/f121Ta3dnqMgPU51Ta3aV9F1wNSV08an6c1tpe2BjZl01Zxc3bGkoNcAam1RhT7yf++2r6B2RG5ytDLio7R8T3m3x37hrHG6/cyC9pEHTS1tKiqvU2ubU+aIqCHdR8lfyqob9fTaYm09UK3clBhdNG2k8lL61t+orc3pUG2ToiNCjppuN9iaW9u0v7JeSTERivdxefOhaMXuw3pzW6kWjEnRhMx4bdxfpXFpcb3+rlTUNenZdfuVFBOhc6dk9tpD5+k1xbr9QU/g89lTx+qbF0wasMeAwGBmK5xzc/1dBwB0ROADBBEz+5akekkPS6o9sn0o9vAh8MFA6/iBzRdm0pO3nKJ9lQ16ctW+9kavR8zITVBSTIT2HKrTrrLabs4iLZmUrpc3HfTpPiNCQ3Ryfore6GL1spPzk/W/V8/qcarZ3S9t1a9e2dZp+5kT0/Xq5t5r+MN/zdZ5Q3xFNKArjS2t2lhcpYwRUX3qw+Wr+qYWPbK8UIdrm3XFnBzlJsf4fGxTS5te3VQimXTWpIxOK4wdq6y6Ue/sKFN+WpymZif0u+bWNqcnVhVpd1mdLp2ZpYIOTaIx8Ah8AAxFTOkCgsunvX/f2mEbPXwQ8NranJ5eU9ynY9LjI/X39/foXyv3dXn7mkJPf5xp2QmamBmvzd6eKMdav69KJ49N0Xs7e16ePTTEdM6UDD27bn+Xt7+347AeXVao284q6PL2uqYWPbRsb6ft+Wlx2lrSdW3Hemp1sc6Z3PtoB2Co+eMbO/TLl7ZpVEqM7r9hvnKTB3YlueiIMH3ilDH9OvaZtcX60iNrJEm/uXamLp6R3eP+d7+8VQ98sFeJMeF6+rZFfQqXOnp/Z5m+8uhaSVJxRb1+efXMfp0HADB8EfgAQcQ51793q8AQVtPYrHe3H9IHuw6rprFZ4aEhmpg5QqdPSFNOkueDUnldk17b4tsoG8kTvkzPSew27Olo3b5Kzc5LVMaISJVUdV76+EBVg0JMOmdyhj7YdViV9c2d9slPi9W49Hi9sOGA2noYeHvf+3t07YI8pXTR7KiuqVWHajqv7jUyIUpvby/r9XFI0nMbDmjP4VqNSe3c7BY40d7dXqYnV+/TtOwEXbdgVI/L1b+x1XON7zlUpz2H6wY88DkedY0fTvus62EK6BFl1Z7Xkar6ZtU2tfSyd/ciw0JlJoWFmFLjI/Vff35fl87M1pVzA7/xOgDAg8AHCDJmNlXSZEnt80Kcc/f5ryKg/55fv1+/fGmrtpbUdLotJiJUN586Vp9aOEZNrW2dVuTqydxRSXqzi2lV3Vm5t0KnjU9TSVXXxxRXNqi4skFLJqXrrIkZ2lFaraZWp9Y2p33l9dpRVqMXemkALUkHqxu1bHe5zutiieXIsBDFRoZ1CpT6slKYc759IB3KqhuatbOsVvGRYRqbNnjB1YHKer2/87CiwkN1Sn6yRkR33yQYfdfW5vSD/2zUpv3VemR5kaZlJ2hmXlK3+9+0eKx+WL1RC8elaUZ24okr1AcXzxipxpZWmZnOn9b7lMnPLynQ2PQ4Tc0aoYmZ3Tff7s3c0cn608fm6HBds7771AbVNbVq2e5ynTkxvcvQGAAQeAh8gCBiZt+RdLo8gc+zks6X9LYkAh8MO0+uKtKXHlnT7YiYuqZW/fLlbdpzuE5fO2+CRkSFqarBt/8tjwoPVWNLW5/qaW5tU3io9RgsnTkxXdcuyGv//sGle/TAB52nYfWksr7zKB5Jio8K1xVzsnXv27uP2u7LCkRHhIWYRgzjBr4vbTygu57bou2lNQoNMV0zL1e3nzluwFdG2nuoVjf8fbm2HfQEjWdPztD/Xj1TsZG8rRoIL204oIeWF2pGTqJKqxvV3NqmxJieA7Vzp2ZqyeSMHkcB+UtCTIRuWOz7zOkpWQmaktX/3j0dLZmcqebWNr29vUxPrS7W2ZMzFBd1fNdpTWOz/vHeHpXVNOmaebn0BgKAIYx3JkBwuULSDEmrnHOfMrMMSX/2c01An60uLNdXH1vb4/SnIx5fuU+TR47QVXNz9ee3d/W6f2RYiOr6MY1i1d4KTctO0Mq9FV3efvuZ4zpNpei4NLSvInpo+LpkUkanwGfHwRoVpMe1hxM96Wsz2qFkTWGFPvfAyvbArbXNtYdpP/zItAG9rze2lh71fL60sUQr95ZrcUFaD0fBF7WNzfrmE+tU5p2e+INLp2h2XpJGp/Y+RWsgw57KuiZFRYQqsh+/o0NNeGiIfnjpVN2wcLTGpMYe92N6dXOp7np+iyTP79l3L5kyEGUCAAZBz8sEAAg09c65NkktZjZC0kHRsBnD0Is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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "BIOBLP_MODEL_ID = BIOBLP_D_old\n", + "ROTATE_MODEL_ID = ROTATE\n", + "METRIC_TO_PLOT = INVERSE_HARMONIC_MEAN_RANK\n", + "\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpd_old,\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=METRIC_TO_PLOT) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c2d2a911", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 208, + "id": "7d9a18c7", + "metadata": {}, + "outputs": [], + "source": [ + "### plot metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "f15dee81", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "\n", + "img_outdir = Path('./data/imgs/')\n" + ] + }, + { + "cell_type": "markdown", + "id": "70268872", + "metadata": {}, + "source": [ + "note,not all the cells have been amended after changing the structure of the eval results dictionary to store 'head', 'tail', 'both', results,\n", + "so if you face an error whilst plotting, try accessing the dictionaries at the 'head', 'tail', or 'both' keys of the results_dictionaries directly. E.g. results_by_node_degree_dicts_rotate_drug['head'] insetead of 'tail'\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "82adea8a", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'results_by_node_degree_dicts_rotate_prot' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[26], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./data/imgs/node-degree-analysis-rotate-and-bioblpp\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 2\u001b[0m model_result_dicts \u001b[38;5;241m=\u001b[39m {ROTATE: \u001b[43mresults_by_node_degree_dicts_rotate_prot\u001b[49m[EVAL_NODE_HEAD],\n\u001b[1;32m 3\u001b[0m BIOBLP_P: results_by_node_degree_dicts_bioblpp[EVAL_NODE_HEAD]}\u001b[38;5;66;03m#results_by_node_degree_dicts_bioblp}\u001b[39;00m\n\u001b[1;32m 4\u001b[0m x \u001b[38;5;241m=\u001b[39m plot_metric_vs_degree_scatterplot_multi_models(metric_name\u001b[38;5;241m=\u001b[39mHITS_AT_10, results_by_node_degree_dicts_combined\u001b[38;5;241m=\u001b[39mmodel_result_dicts,\n\u001b[1;32m 5\u001b[0m eval_out_dir\u001b[38;5;241m=\u001b[39mEVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n", + "\u001b[0;31mNameError\u001b[0m: name 'results_by_node_degree_dicts_rotate_prot' is not defined" + ] + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_prot[EVAL_NODE_HEAD],\n", + " BIOBLP_P: results_by_node_degree_dicts_bioblpp[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_10, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "ec188602", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_1, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "fafe652e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=INVERSE_HARMONIC_MEAN_RANK, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "018a63f6", + "metadata": {}, + "outputs": [], + "source": [ + "#molecules" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "b6ea4d8f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_1, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "23b07317", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_10, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 239, + "id": "d33bce0a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=INVERSE_HARMONIC_MEAN_RANK, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d269557", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "d3ff3e95", + "metadata": {}, + "source": [ + "\n", + "#### previous stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "bfd84abc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wandb.login()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "fd228a18", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.14.0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230324_173738-akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run cerulean-moon-114 to Weights & Biases (docs)
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View project at https://wandb.ai/discoverylab/bioblp-jupyter-trial" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View run at https://wandb.ai/discoverylab/bioblp-jupyter-trial/runs/akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tags = {\"model_name\": BIOBLP_M),\n", + " \"study_name\": 'node_degree_trends_both_models_combined',\n", + " \"test_set_type\": TEST_RESTRICTED_ENT}\n", + "run = setup_wandb_result_tracker(**tags, \n", + " notes=f'combined lp results for {BIOBLP_M)} and {MODELS.get(ROTATE)}', \n", + " project_name='bioblp-jupyter-trial',\n", + " wandb_entity='discoverylab')" + ] + }, + { + "cell_type": "markdown", + "id": "211e03fe", + "metadata": {}, + "source": [ + "Save custom plots to Weights and biases" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "2229e186", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20230324-173105-hits_at_1_node_degree_analysis-rotate-otxtubeb-20230324-173105.png\n", + "20230324-173137-hits_at_10_node_degree_analysis-rotate-otxtubeb-20230324-173137.png\n", + "20230324-173248-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-20230324-173248.png\n", + "20230324-173341-hits_at_1_node_degree_analysis-bioblpp-cttc3ucm-20230324-173341.png\n", + "20230324-173404-hits_at_10_node_degree_analysis-bioblpp-cttc3ucm-20230324-173404.png\n", + "20230324-173426-inverse_harmonic_mean_rank_node_degree_analysis-bioblpp-cttc3ucm-20230324-173426.png\n", + "20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n" + ] + } + ], + "source": [ + "!ls {EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "1439ef13", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_1_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "#degree_analysis_hits_at_10_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "degree_analysis_mrr_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "\n", + "wandb.log({\"hits@1_combined_bioblpm_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_and_bioblpm_path)})\n", + "wandb.log({\"hits@10_combined_bioblpm_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_and_bioblpm_path)})\n", + "wandb.log({\"mrr_combined_bioblpm_rotate\": wandb.Image(degree_analysis_mrr_rotate_and_bioblpm_path)})" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bioblp-env", + "language": "python", + "name": "bioblp-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/nb_utils/eval_utils.py b/notebooks/nb_utils/eval_utils.py index 761bf1e..f95d8f7 100644 --- a/notebooks/nb_utils/eval_utils.py +++ b/notebooks/nb_utils/eval_utils.py @@ -273,6 +273,9 @@ def evaluate_lp_all_rels_on_single_test_set(model, ): evaluator = RankBasedEvaluator(filtered=True) + #if evaluator.batch_size<32: + # evaluator.batch_size=32 + print(f"eval batch size: {evaluator.batch_size}") # should we filtering more triples in the disease restricted test sets? filtered_triples = obtain_filtered_triples(test_type=eval_test_set_slug, train_triples=train_triples, @@ -641,6 +644,11 @@ def compute_metrics_over_triples_with_ent_node_endpoint(model_id, ): col_node_degree = f"{node_endpoint_type}_training_degree" # if predicting head, this should be the 'src_training_degree' evaluator = RankBasedEvaluator(filtered=True) + #if evaluator.batch_size<32: + #evaluator.batch_size=32 + print(f"eval batch size: {evaluator.batch_size}") + + model_base_path = model_registry_cfg.registered_model_paths.get(model_id) model = load_kge_model(model_base_path=model_base_path) print(f'loaded model from {str(model_base_path)}') diff --git a/notebooks/nb_utils/plot_utils.py b/notebooks/nb_utils/plot_utils.py index 0d04115..8dec291 100644 --- a/notebooks/nb_utils/plot_utils.py +++ b/notebooks/nb_utils/plot_utils.py @@ -6,12 +6,21 @@ from pathlib import Path from pykeen.triples import TriplesFactory from pykeen.evaluation import RankBasedEvaluator +import matplotlib.ticker as ticker import seaborn as sns from tqdm import tqdm import wandb import time +from .eval_utils import EVAL_NODE_HEAD +from .eval_utils import COL_SOURCE, COL_TARGET +from .eval_utils import INVERSE_HARMONIC_MEAN_RANK +from .eval_utils import EVAL_METRICS_SHORTLIST +from .eval_utils import get_unique_endpoint_entities_in_testset_of_given_degree + + + DEFAULT_EVAL_IMG_DIR = "./data/imgs/" #### Plotting utils @@ -69,4 +78,106 @@ def plot_metric_vs_degree_scatterplot_multi_models(metric_name='hits_at_10', plt.savefig(eval_out_dir.joinpath(f"{timestr}-{metric_name}_node_degree_analysis-{'-'.join(list(model_ids))}")) #return degrees, metrics - \ No newline at end of file + + + + +def merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=None, + bioblp_eval_results=None, + rotate_model_id=None, + rotate_eval_results=None, + node_endpoint_type_for_entity_w_attribute = None, + eval_on_node_endpoint=EVAL_NODE_HEAD, + test_triples=None, + entity_type_w_attr_encoded=None, + metric_name=INVERSE_HARMONIC_MEAN_RANK + ): + merged_results_df = prep_data_for_node_degree_lp_multi_model_diff_plot(bioblp_model_id=bioblp_model_id, + bioblp_eval_results=bioblp_eval_results, + rotate_model_id=rotate_model_id, + rotate_eval_results=rotate_eval_results, + node_endpoint_type=node_endpoint_type_for_entity_w_attribute, + eval_on_node_endpoint=eval_on_node_endpoint, + test_triples=test_triples + ) + + plot_node_degree_analysis_multimodel_lp_eval_diff(merged_results_df=merged_results_df, + entity_type_w_attr_encoded=entity_type_w_attr_encoded, + bioblp_model_id=bioblp_model_id, + rotate_model_id=rotate_model_id, + eval_on_node_endpoint=eval_on_node_endpoint, + node_endpoint_type_for_entity_w_attribute=node_endpoint_type_for_entity_w_attribute, metric_name=metric_name) + + return merged_results_df + + +def _merge_results_df_multi_models(rotate_df, bioblp_df, + test_triples_subset=None, + node_endpoint_type=None): + merged_df = rotate_df.merge(bioblp_df, how='inner', on='degree', suffixes=['_rotate', '_bioblp']) + merged_df.drop(columns=['Relation_bioblp', 'Relation_rotate', 'Count_bioblp'], inplace=True) + merged_df = merged_df.astype({'degree':'float'}) + merged_df = merged_df.rename(columns={"Count_rotate":"count"}) + + merged_df['num_unique_ents'] = merged_df['degree'].apply( + lambda x: len(get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_subset, + degree=x, + node_endpoint_type=node_endpoint_type))) + return merged_df + + +def prep_data_for_node_degree_lp_multi_model_diff_plot(bioblp_model_id, bioblp_eval_results, + rotate_model_id, rotate_eval_results, + node_endpoint_type=COL_SOURCE, + eval_on_node_endpoint=EVAL_NODE_HEAD, + test_triples=None + ): + rotate_df = pd.DataFrame.from_dict(rotate_eval_results[eval_on_node_endpoint], orient='index') + #rotate_df = pd.DataFrame.from_dict(rotate_eval_results, orient='index') + rotate_df = rotate_df.reset_index().rename(columns={'index':'degree'}) + rotate_df = rotate_df.astype({'degree':'float'}) + + bioblp_df = pd.DataFrame.from_dict(bioblp_eval_results[eval_on_node_endpoint], orient='index') + #bioblp_df = pd.DataFrame.from_dict(bioblp_eval_results, orient='index') + bioblp_df = bioblp_df.reset_index().rename(columns={'index':'degree'}) + bioblp_df = bioblp_df.astype({'degree':'float'}) + + merged_df = _merge_results_df_multi_models(rotate_df=rotate_df, + bioblp_df=bioblp_df, + test_triples_subset=test_triples, + node_endpoint_type=node_endpoint_type) + + for metric in EVAL_METRICS_SHORTLIST: + merged_df[metric] = merged_df[f'{metric}_rotate'] - merged_df[f'{metric}_bioblp'] + return merged_df + + +def plot_node_degree_analysis_multimodel_lp_eval_diff(merged_results_df, + entity_type_w_attr_encoded, + bioblp_model_id, + rotate_model_id, + node_endpoint_type_for_entity_w_attribute=COL_SOURCE, + eval_on_node_endpoint=EVAL_NODE_HEAD, + metric_name=INVERSE_HARMONIC_MEAN_RANK): + + degrees, metrics, counts, num_unique_ents = merged_results_df['degree'], merged_results_df[metric_name], merged_results_df['count'], merged_results_df['num_unique_ents'] + plot, ax = plt.subplots(figsize=(10,10)) + sns.color_palette("flare", as_cmap=True) + s_square = [n*n for n in num_unique_ents] + plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200)) + plt.xscale('log') + plt.ylabel(metric_name) + plt.xlabel(f'Training degree for {entity_type_w_attr_encoded} entity being predicted') + #ax.axis([1, 10000, 1, 1000000]) + #ax.loglog() + plt.xticks(degrees, rotation='vertical') + + plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0)) + + plt.title(f'(avg_{metric_name}_{rotate_model_id}) - (avg_{metric_name}_{bioblp_model_id}) \n Difference b/w both models in {metric_name} when'\ + 'predicting {entity_type_w_attr_encoded} as {eval_on_node_type} node, Vs. {entity_type_w_attr_encoded} node degree') + #plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{bioblp_model_id}-{rotate_model_id}') + #plt.savefig(f"data/imgs/{metric_name}_node_degree_analysis-{bioblp_model_id}-{rotate_model_id}.pdf", format="pdf", bbox_inches="tight") + plt.show() + + From c1b1d7d091b1ec71ef9f88f59c183b5994eb31b1 Mon Sep 17 00:00:00 2001 From: Daniel Date: Mon, 24 Apr 2023 13:00:38 +0200 Subject: [PATCH 07/10] Use relative paths to retrieve files --- ...4_03_eval_lp_node_degree_effect-plot.ipynb | 103 ++++++++++++------ notebooks/nb_utils/config.py | 2 +- notebooks/nb_utils/eval_utils.py | 1 - notebooks/nb_utils/plot_utils.py | 1 - 4 files changed, 69 insertions(+), 38 deletions(-) diff --git a/notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb b/notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb index f70af3f..996a590 100644 --- a/notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb +++ b/notebooks/07_04_03_eval_lp_node_degree_effect-plot.ipynb @@ -4,7 +4,12 @@ "cell_type": "code", "execution_count": 1, "id": "29e67efe", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:56:07.555240Z", + "end_time": "2023-04-24T12:56:07.654588Z" + } + }, "outputs": [], "source": [ "%load_ext autoreload\n", @@ -23,17 +28,13 @@ "cell_type": "code", "execution_count": 2, "id": "c91dbf0f", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/jovyan/.conda/envs/bioblp-env/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:56:07.665999Z", + "end_time": "2023-04-24T12:56:11.760124Z" } - ], + }, + "outputs": [], "source": [ "import json\n", "from IPython.display import Image\n", @@ -41,7 +42,6 @@ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "from pathlib import Path\n", - "import seaborn as sns\n", "import time\n", "from tqdm import tqdm\n", "from typing import List\n", @@ -55,9 +55,14 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 11, "id": "6c6d1fbe", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:58:43.581560Z", + "end_time": "2023-04-24T12:58:43.679575Z" + } + }, "outputs": [], "source": [ "from nb_utils.eval_utils import TEST, VALID, TRAIN, DUMMY\n", @@ -100,9 +105,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "id": "5cdcb04e", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:58:44.923602Z", + "end_time": "2023-04-24T12:58:44.962174Z" + } + }, "outputs": [], "source": [ "ROTATE = \"rotate-otxtubeb\"\n", @@ -116,9 +126,14 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "id": "d5659268", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:58:46.093501Z", + "end_time": "2023-04-24T12:58:46.127011Z" + } + }, "outputs": [], "source": [ "toml_path = ARTIFACT_REGISTRY_TOML_PATH\n", @@ -129,9 +144,14 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 14, "id": "6cde741b", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:58:47.702451Z", + "end_time": "2023-04-24T12:58:47.777860Z" + } + }, "outputs": [], "source": [ "graph_cfg = GraphRegistryConfig.from_toml(ARTIFACT_REGISTRY_TOML_PATH)\n" @@ -617,10 +637,14 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "id": "fa14cf52", "metadata": { - "tags": [] + "tags": [], + "ExecuteTime": { + "start_time": "2023-04-24T12:59:28.194293Z", + "end_time": "2023-04-24T12:59:28.252411Z" + } }, "outputs": [], "source": [ @@ -630,15 +654,19 @@ "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", "from nb_utils.eval_utils import HITS_AT_1, HITS_AT_3, HITS_AT_10\n", "from nb_utils.plot_utils import merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff\n", - "import matplotlib.ticker as ticker\n", - "import seaborn as sns" + "import matplotlib.ticker as ticker" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 17, "id": "5de3f34a", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:59:29.602505Z", + "end_time": "2023-04-24T12:59:29.667129Z" + } + }, "outputs": [], "source": [ "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n" @@ -646,9 +674,14 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "id": "3c1c192f", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "start_time": "2023-04-24T12:59:50.223480Z", + "end_time": "2023-04-24T12:59:50.287397Z" + } + }, "outputs": [ { "name": "stdout", @@ -661,7 +694,7 @@ } ], "source": [ - "NODE_DEGREE_EVAL_RESULTS_DIR = Path(\"/home/jovyan/BioBLP/notebooks/metrics/node_degree_eval_lp/combined_spotlight_ent_as_src_and_tgt\")\n", + "NODE_DEGREE_EVAL_RESULTS_DIR = Path(\"metrics/node_degree_eval_lp/combined_spotlight_ent_as_src_and_tgt\")\n", "ent_type_specific_models = {\n", " DISEASE: [ROTATE, BIOBLP_D],\n", " PROTEIN: [ROTATE, BIOBLP_P],\n", @@ -1733,10 +1766,10 @@ "evalue": "name 'results_by_node_degree_dicts_rotate_prot' is not defined", "output_type": "error", "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[26], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./data/imgs/node-degree-analysis-rotate-and-bioblpp\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 2\u001b[0m model_result_dicts \u001b[38;5;241m=\u001b[39m {ROTATE: \u001b[43mresults_by_node_degree_dicts_rotate_prot\u001b[49m[EVAL_NODE_HEAD],\n\u001b[1;32m 3\u001b[0m BIOBLP_P: results_by_node_degree_dicts_bioblpp[EVAL_NODE_HEAD]}\u001b[38;5;66;03m#results_by_node_degree_dicts_bioblp}\u001b[39;00m\n\u001b[1;32m 4\u001b[0m x \u001b[38;5;241m=\u001b[39m plot_metric_vs_degree_scatterplot_multi_models(metric_name\u001b[38;5;241m=\u001b[39mHITS_AT_10, results_by_node_degree_dicts_combined\u001b[38;5;241m=\u001b[39mmodel_result_dicts,\n\u001b[1;32m 5\u001b[0m eval_out_dir\u001b[38;5;241m=\u001b[39mEVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n", - "\u001b[0;31mNameError\u001b[0m: name 'results_by_node_degree_dicts_rotate_prot' is not defined" + "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[0;31mNameError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[0;32mIn[26], line 2\u001B[0m\n\u001B[1;32m 1\u001B[0m EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m./data/imgs/node-degree-analysis-rotate-and-bioblpp\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m----> 2\u001B[0m model_result_dicts \u001B[38;5;241m=\u001B[39m {ROTATE: \u001B[43mresults_by_node_degree_dicts_rotate_prot\u001B[49m[EVAL_NODE_HEAD],\n\u001B[1;32m 3\u001B[0m BIOBLP_P: results_by_node_degree_dicts_bioblpp[EVAL_NODE_HEAD]}\u001B[38;5;66;03m#results_by_node_degree_dicts_bioblp}\u001B[39;00m\n\u001B[1;32m 4\u001B[0m x \u001B[38;5;241m=\u001B[39m plot_metric_vs_degree_scatterplot_multi_models(metric_name\u001B[38;5;241m=\u001B[39mHITS_AT_10, results_by_node_degree_dicts_combined\u001B[38;5;241m=\u001B[39mmodel_result_dicts,\n\u001B[1;32m 5\u001B[0m eval_out_dir\u001B[38;5;241m=\u001B[39mEVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n", + "\u001B[0;31mNameError\u001B[0m: name 'results_by_node_degree_dicts_rotate_prot' is not defined" ] } ], @@ -2057,9 +2090,9 @@ ], "metadata": { "kernelspec": { - "display_name": "bioblp-env", + "name": "python3", "language": "python", - "name": "bioblp-env" + "display_name": "Python 3 (ipykernel)" }, "language_info": { "codemirror_mode": { diff --git a/notebooks/nb_utils/config.py b/notebooks/nb_utils/config.py index fd037e7..318b547 100644 --- a/notebooks/nb_utils/config.py +++ b/notebooks/nb_utils/config.py @@ -15,7 +15,7 @@ PROTEIN = 'protein' -ARTIFACT_REGISTRY_TOML_PATH = "/home/jovyan/BioBLP/notebooks/nb_utils/artifact_registry.toml" +ARTIFACT_REGISTRY_TOML_PATH = "nb_utils/artifact_registry.toml" class EntityType(str, Enum): diff --git a/notebooks/nb_utils/eval_utils.py b/notebooks/nb_utils/eval_utils.py index f95d8f7..9a74ad9 100644 --- a/notebooks/nb_utils/eval_utils.py +++ b/notebooks/nb_utils/eval_utils.py @@ -10,7 +10,6 @@ from pathlib import Path from pykeen.triples import TriplesFactory from pykeen.evaluation import RankBasedEvaluator -import seaborn as sns import torch from tqdm import tqdm import wandb diff --git a/notebooks/nb_utils/plot_utils.py b/notebooks/nb_utils/plot_utils.py index 8dec291..a0244e6 100644 --- a/notebooks/nb_utils/plot_utils.py +++ b/notebooks/nb_utils/plot_utils.py @@ -7,7 +7,6 @@ from pykeen.triples import TriplesFactory from pykeen.evaluation import RankBasedEvaluator import matplotlib.ticker as ticker -import seaborn as sns from tqdm import tqdm import wandb import time From f3020d4d1cdefa384d65441a848d858542f256eb Mon Sep 17 00:00:00 2001 From: Daniel Date: Mon, 24 Apr 2023 14:08:15 +0200 Subject: [PATCH 08/10] Use relative paths to retrieve files --- notebooks/nb_utils/artifact_registry.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/nb_utils/artifact_registry.toml b/notebooks/nb_utils/artifact_registry.toml index ab5c3b0..7ec9a15 100644 --- a/notebooks/nb_utils/artifact_registry.toml +++ b/notebooks/nb_utils/artifact_registry.toml @@ -1,4 +1,4 @@ -model_registry_root_dir = "/home/jovyan/workbench-shared-folder/bioblp/models" +model_registry_root_dir = "../models" #test_set_lists = ['test', 'valid'] [biokgb_graph] From ea41d9a12ddbcf946a21f74c660f5cdf57940068 Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Tue, 25 Apr 2023 16:09:24 +0000 Subject: [PATCH 09/10] update node degree eval plot format --- notebooks/nb_utils/plot_utils.py | 45 ++++++++++++++++++++++---------- 1 file changed, 31 insertions(+), 14 deletions(-) diff --git a/notebooks/nb_utils/plot_utils.py b/notebooks/nb_utils/plot_utils.py index a0244e6..73e070b 100644 --- a/notebooks/nb_utils/plot_utils.py +++ b/notebooks/nb_utils/plot_utils.py @@ -6,10 +6,12 @@ from pathlib import Path from pykeen.triples import TriplesFactory from pykeen.evaluation import RankBasedEvaluator +import matplotlib import matplotlib.ticker as ticker from tqdm import tqdm import wandb import time +import seaborn as sns from .eval_utils import EVAL_NODE_HEAD @@ -157,26 +159,41 @@ def plot_node_degree_analysis_multimodel_lp_eval_diff(merged_results_df, rotate_model_id, node_endpoint_type_for_entity_w_attribute=COL_SOURCE, eval_on_node_endpoint=EVAL_NODE_HEAD, - metric_name=INVERSE_HARMONIC_MEAN_RANK): + metric_name=INVERSE_HARMONIC_MEAN_RANK, + plot_title=True): degrees, metrics, counts, num_unique_ents = merged_results_df['degree'], merged_results_df[metric_name], merged_results_df['count'], merged_results_df['num_unique_ents'] + sns.set_style("whitegrid") plot, ax = plt.subplots(figsize=(10,10)) - sns.color_palette("flare", as_cmap=True) s_square = [n*n for n in num_unique_ents] - plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,200)) - plt.xscale('log') - plt.ylabel(metric_name) - plt.xlabel(f'Training degree for {entity_type_w_attr_encoded} entity being predicted') - #ax.axis([1, 10000, 1, 1000000]) - #ax.loglog() - plt.xticks(degrees, rotation='vertical') - plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0)) + plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,250)) + plt.xscale('log') + plt.ylabel('\u0394 MRR', fontsize=15) + plt.xlabel(f'Training degree for entity being predicted', fontsize=14) + + # x axis ticks + plt.xticks(degrees, rotation='horizontal', fontsize=12) + def myLogFormat(y,pos): + # Find the number of decimal places required + decimalplaces = int(np.maximum(-np.log10(y),0)) # =0 for numbers >=1 + # Insert that number into a format string + formatstring = '{{:.{:1d}f}}'.format(decimalplaces) + # Return the formatted tick label + return formatstring.format(y) + + # plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0)) + plot_.xaxis.set_major_locator(ticker.LogLocator()) + plot_.xaxis.set_major_formatter(ticker.FuncFormatter(myLogFormat)) + plot_.legend(title='Unique test entities\n at each node degree', loc='upper right', prop={'size': 12}, title_fontsize=12) + plt.grid(axis='y', color='0.5') + + if plot_title: + plt.title(f'\u0394 MRR between {rotate_model_id} and {bioblp_model_id} when predicting {entity_type_w_attr_encoded} entity head at different node degree buckets') - plt.title(f'(avg_{metric_name}_{rotate_model_id}) - (avg_{metric_name}_{bioblp_model_id}) \n Difference b/w both models in {metric_name} when'\ - 'predicting {entity_type_w_attr_encoded} as {eval_on_node_type} node, Vs. {entity_type_w_attr_encoded} node degree') - #plt.savefig(f'data/imgs/{metric_name}_node_degree_analysis-{bioblp_model_id}-{rotate_model_id}') - #plt.savefig(f"data/imgs/{metric_name}_node_degree_analysis-{bioblp_model_id}-{rotate_model_id}.pdf", format="pdf", bbox_inches="tight") + if metric_name == INVERSE_HARMONIC_MEAN_RANK: + metric_name = 'mrr' + plt.savefig(f"data/imgs/{metric_name}_node_degree_analysis-{bioblp_model_id}-{rotate_model_id}.pdf", format="pdf", bbox_inches="tight") plt.show() From 8640c5d964c8040fd97376e62fedaee8fbaee951 Mon Sep 17 00:00:00 2001 From: "p.mitra" Date: Tue, 9 May 2023 20:22:32 +0000 Subject: [PATCH 10/10] update stats and plots --- notebooks/07_03_01_lp_graph_stats.ipynb | 3479 +++++++++++++++++++++ notebooks/nb_utils/artifact_registry.toml | 2 +- notebooks/nb_utils/eval_utils.py | 63 +- notebooks/nb_utils/plot_utils.py | 24 +- 4 files changed, 3546 insertions(+), 22 deletions(-) create mode 100644 notebooks/07_03_01_lp_graph_stats.ipynb diff --git a/notebooks/07_03_01_lp_graph_stats.ipynb b/notebooks/07_03_01_lp_graph_stats.ipynb new file mode 100644 index 0000000..dd3085b --- /dev/null +++ b/notebooks/07_03_01_lp_graph_stats.ipynb @@ -0,0 +1,3479 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "cd965874", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:56:07.654588Z", + "start_time": "2023-04-24T12:56:07.555240Z" + } + }, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "markdown", + "id": "ca46673a", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d15ed50f", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:56:11.760124Z", + "start_time": "2023-04-24T12:56:07.665999Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/jovyan/.conda/envs/bioblp-env/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import json\n", + "from IPython.display import Image\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "import time\n", + "from tqdm import tqdm\n", + "from typing import List\n", + "#from typing import Union\n", + "\n", + "from pykeen.evaluation import RankBasedEvaluator\n", + "from pykeen.triples import TriplesFactory\n", + "import toml\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0d13445f", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:58:43.679575Z", + "start_time": "2023-04-24T12:58:43.581560Z" + } + }, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import TEST, VALID, TRAIN, DUMMY\n", + "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, EVAL_METRICS_SHORTLIST\n", + "from nb_utils.eval_utils import COL_SOURCE, COL_TARGET, COL_EDGE, COL_NODE, DEGREE, IN_DEGREE, OUT_DEGREE\n", + "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", + "from nb_utils.eval_utils import setup_wandb_result_tracker, run_experiment_and_log_wandb\n", + "from nb_utils.eval_utils import compute_node_degrees_in_out\n", + "from nb_utils.eval_utils import load_kge_model\n", + "from nb_utils.eval_utils import create_entity_attr_aware_test_sets\n", + "from nb_utils.eval_utils import make_results_dict_all_rel\n", + "\n", + "\n", + "from nb_utils.config import ARTIFACT_REGISTRY_TOML_PATH, EntityType\n", + "from nb_utils.config import load_toml, ModelRegistryConfig, EvaluationConfig\n", + "from nb_utils.config import GraphRegistryConfig, EntityType\n", + "from nb_utils.config import PROTEIN, DRUG, DISEASE\n", + "from nb_utils.eval_utils import ENT_ASSOC_REL_NAMES, EVAL_METRIC_REALISTIC, EVAL_NODE_HEAD, EVAL_NODE_TAIL\n", + "from nb_utils.eval_utils import PROT_ASSOC_REL_NAMES, test_rel_list_validity, ENT_ASSOC_REL_NAMES\n", + "from nb_utils.eval_utils import TEST, TRAIN, VALID, DUMMY\n", + "from nb_utils.eval_utils import TEST_RESTRICTED_PROTEIN, TEST_RESTRICTED_DISEASE, TEST_RESTRICTED_DRUG\n", + "from nb_utils.eval_utils import ENT_SPECIFIC_TEST_SET_STUBS" + ] + }, + { + "cell_type": "markdown", + "id": "60c98ef4", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "markdown", + "id": "ebef4ec5", + "metadata": {}, + "source": [ + "1. add the paths to the following models and biokg files in ./nb_utils/artifact_registry.toml\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5bf6c47f", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:58:44.962174Z", + "start_time": "2023-04-24T12:58:44.923602Z" + } + }, + "outputs": [], + "source": [ + "ROTATE = \"rotate-otxtubeb\"\n", + "BIOBLP_D = \"bioblpd-38uz9fjs-16-03-2023\" \n", + "BIOBLP_P = \"rotate-bioblp-p-4o6x9h96\"\n", + "BIOBLP_M = \"rotate-bioblp-m-1r75g9na\"\n", + "BIOBLP_D_old = \"bioblpd-38uz9fjs\" # older pykeen and BioBLP version\n", + "#BIOBLP_P = \"bioblpp-cttc3ucm\" # this was not pretrained\n", + "#BIOBLP_M = \"bioblpm-5rxz3k57\" # this was not pretrained\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d35066b6", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:58:46.127011Z", + "start_time": "2023-04-24T12:58:46.093501Z" + } + }, + "outputs": [], + "source": [ + "toml_path = ARTIFACT_REGISTRY_TOML_PATH\n", + "model_reg_cfg = ModelRegistryConfig.from_toml(toml_path)\n", + "model_registry_paths = model_reg_cfg.registered_model_paths\n", + "model_training_paths = model_reg_cfg.registered_model_training_triples_paths" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f6d0a409", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:58:47.777860Z", + "start_time": "2023-04-24T12:58:47.702451Z" + } + }, + "outputs": [], + "source": [ + "graph_cfg = GraphRegistryConfig.from_toml(ARTIFACT_REGISTRY_TOML_PATH)\n" + ] + }, + { + "cell_type": "markdown", + "id": "fc7b52ec", + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, + "source": [ + "### load triples data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "911c44ea", + "metadata": {}, + "outputs": [], + "source": [ + "# load training splits\n", + "MODEL_ID = BIOBLP_D\n", + "train = TriplesFactory.from_path_binary(model_training_paths[MODEL_ID])\n", + "\n", + "\n", + "valid, test = [TriplesFactory.from_path(f,\n", + " entity_to_id=train.entity_to_id,\n", + " relation_to_id=train.relation_to_id)\n", + " for f in (map(graph_cfg.biokgb_data_splits.get, [VALID, TEST]))]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c70bd31e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "triples_dict = {\n", + " TEST: test,\n", + " VALID: valid,\n", + " TRAIN: train, \n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "44d87a62", + "metadata": { + "tags": [] + }, + "source": [ + "### Split test triples conditional on whether they contain entities whose properties were encoded in BIOBLP-X vs not" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "1783647c", + "metadata": { + "jupyter": { + "source_hidden": true + }, + "tags": [] + }, + "outputs": [], + "source": [ + "def create_entity_type_attr_aware_subsets(entity_type_w_attribute: str, \n", + " graph_cfg: GraphRegistryConfig,\n", + " train: TriplesFactory, \n", + " test: TriplesFactory):\n", + " entity_metadata_path = graph_cfg.biokgb_entity_type_metadata_paths.get(entity_type_w_attribute)\n", + " entity_attribute_path = graph_cfg.biokgb_entity_attribute_paths.get(entity_type_w_attribute)\n", + " \n", + " # create a subset of biokg entities of type {entity_type_w_attribute} \n", + " entities = pd.read_csv(entity_metadata_path, sep=\"\\t\", names=[entity_type_w_attribute, COL_EDGE, \"node_type\"])\n", + " entity_set = set(entities[entity_type_w_attribute].values)\n", + " print(f\"# {entity_type_w_attribute} entities in larger biokg metadata files: {len(entity_set)}\")\n", + "\n", + " # create a set of {entity_type_w_attribute} entities for which we have attr descriptions (e.g.: text for Diseases)\n", + " # TODO: Currently a quick hack. Standardise input reading\n", + " try:\n", + " entity_w_attr_df = pd.read_json(entity_attribute_path, orient=\"index\").reset_index()\n", + " entity_w_attr_df.rename(columns={\"index\": entity_type_w_attribute, 0: \"attr\"}, inplace=True)\n", + " except:\n", + " entity_w_attr_df = pd.read_csv(entity_attribute_path, sep=\"\\t\", header=0, names=[entity_type_w_attribute, \"attr\"])\n", + " entity_attr_set = set(entity_w_attr_df[entity_type_w_attribute].values)\n", + " print(f\"# {entity_type_w_attribute} entities for which we have attributes: {len(entity_attr_set)}\")\n", + " return entity_set, entity_attr_set\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "9089ea6a", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# protein entities in larger biokg metadata files: 122902\n", + "# protein entities for which we have attributes: 121988\n", + "# disease entities in larger biokg metadata files: 11347\n", + "# disease entities for which we have attributes: 11347\n", + "# drug entities in larger biokg metadata files: 13580\n", + "# drug entities for which we have attributes: 10815\n" + ] + } + ], + "source": [ + "prot_all, prot_attr = create_entity_type_attr_aware_subsets(PROTEIN, graph_cfg, train, test)\n", + "dis_all, dis_attr = create_entity_type_attr_aware_subsets(DISEASE, graph_cfg, train, test)\n", + "drug_all, drug_attr = create_entity_type_attr_aware_subsets(DRUG, graph_cfg, train, test)" + ] + }, + { + "cell_type": "markdown", + "id": "54c99704-8570-4b44-b1c6-5f0732d4150a", + "metadata": {}, + "source": [ + "### obtain entity counts" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "8b8577b5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# unique entities in biokg graphs (all splits): 106047\n", + "# Triples in biokg graphs (all splits): 1852262\n" + ] + } + ], + "source": [ + "biokg_triples = train.num_triples+valid.num_triples+test.num_triples\n", + "biokg_ents = set(train.entity_to_id).union(set(test.entity_to_id).union(valid.entity_to_id))\n", + "print(f\"# unique entities in biokg graphs (all splits): {len(biokg_ents)}\") \n", + "print(f\"# Triples in biokg graphs (all splits): {biokg_triples}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "87aa7524", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "#protein entities in BioKG graph: 59568\n", + "#drug entities in BioKG graph: 8614\n", + "#disease entities in BioKG graph: 5814\n" + ] + } + ], + "source": [ + "print(f\"#{PROTEIN} entities in BioKG graph: {len(biokg_ents.intersection(prot_all))}\")\n", + "print(f\"#{DRUG} entities in BioKG graph: {len(biokg_ents.intersection(drug_all))}\")\n", + "print(f\"#{DISEASE} entities in BioKG graph: {len(biokg_ents.intersection(dis_all))}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "83477a80", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "#protein entities with Attributes in BioKG graph: 59455\n", + "#drug entities with Attributes in BioKG graph: 7641\n", + "#disease entities with Attributes in BioKG graph: 5814\n" + ] + } + ], + "source": [ + "print(f\"#{PROTEIN} entities with Attributes in BioKG graph: {len(biokg_ents.intersection(prot_attr))}\")\n", + "print(f\"#{DRUG} entities with Attributes in BioKG graph: {len(biokg_ents.intersection(drug_attr))}\")\n", + "print(f\"#{DISEASE} entities with Attributes in BioKG graph: {len(biokg_ents.intersection(dis_attr))}\")" + ] + }, + { + "cell_type": "markdown", + "id": "96196482-4732-4911-9975-559894093b41", + "metadata": {}, + "source": [ + "note, the entity counts obtained from biokg metadata files **below** are larger than actual number of entities in biokg graph. Don't be alarmed, authors intend it." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "01258b83", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating test sets with triples restricted to containing drug\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# drug entities in larger biokg metadata files:(pre-benchmark removal): 13580\n", + "# drug entities for which we have attributes: 10815\n", + "Creating test sets with triples restricted to containing protein\n", + "# protein entities in larger biokg metadata files:(pre-benchmark removal): 122902\n", + "# protein entities for which we have attributes: 121988\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating test sets with triples restricted to containing disease\n", + "# disease entities in larger biokg metadata files:(pre-benchmark removal): 11347\n", + "# disease entities for which we have attributes: 11347\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "text/plain": [ + "dict_keys(['test', 'valid', 'train', 'TEST_RESTRICTED_DRUG', 'TEST_RESTRICTED_PROTEIN', 'TEST_RESTRICTED_DISEASE'])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "LIST_ENTITY_TYPES_W_ATTRIBUTE = [DRUG, PROTEIN, DISEASE]\n", + "\n", + "# note, the entity counts in biokg metadata files are larger than actual number of entities in biokg graph. Don't be alarmed, authors intend it.\n", + "for ent_type in LIST_ENTITY_TYPES_W_ATTRIBUTE:\n", + " print(f\"Creating test sets with triples restricted to containing {ent_type}\")\n", + " test_triples_incl_ent_prop, test_triples_excl_ent_prop = create_entity_attr_aware_test_sets(entity_type_w_attribute=ent_type,\n", + " graph_cfg=graph_cfg,\n", + " train=train,\n", + " test=test) \n", + " triples_dict.update({ENT_SPECIFIC_TEST_SET_STUBS[ent_type]: test_triples_incl_ent_prop})\n", + " \n", + " \n", + "triples_dict.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "48e8a192", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# triples originally in test: 185227, valid: 185226\n", + "# test triples with drug nodes: 123636\n", + "# test triples with protein nodes: 54064\n", + "# test triples with disease nodes: 17063\n" + ] + } + ], + "source": [ + "# create test subsets of triples that are aware of the special entities with attributes\n", + "print(f\"# triples originally in test: {test.num_triples}, valid: {valid.num_triples}\")\n", + "for ent_type in LIST_ENTITY_TYPES_W_ATTRIBUTE:\n", + " print(f\"# test triples with {ent_type} nodes: {triples_dict[ENT_SPECIFIC_TEST_SET_STUBS[ent_type]].num_triples}\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "873f9110", + "metadata": {}, + "source": [ + "## Plots" + ] + }, + { + "cell_type": "markdown", + "id": "2941cbc3", + "metadata": { + "tags": [] + }, + "source": [ + "#### node degree distribution within training set" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8ef6e9f1", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n", + "nde_ = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "\n", + "train_triples_ent_w_attr_df = nde_.prep_test_data(train)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "f41db8a2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 106047.000000\n", + "mean 27.946269\n", + "std 118.999582\n", + "min 1.000000\n", + "25% 2.000000\n", + "50% 4.000000\n", + "75% 10.000000\n", + "max 2448.000000\n", + "Name: degree, dtype: float64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "degree_df = pd.DataFrame.from_dict(nde_.node_train_degree_dict, orient='index').reset_index()\n", + "degree_df = degree_df.rename(columns = {'index': 'ent', 0: 'degree'})\n", + "degree_df.degree.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "40c38fd9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 59568.000000\n", + "mean 9.600121\n", + "std 19.327112\n", + "min 1.000000\n", + "25% 2.000000\n", + "50% 4.000000\n", + "75% 9.000000\n", + "max 480.000000\n", + "Name: degree, dtype: float64" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prot_degree_df = degree_df[degree_df.ent.isin(prot_all)]\n", + "dis_degree_df = degree_df[degree_df.ent.isin(dis_all)]\n", + "drug_degree_df = degree_df[degree_df.ent.isin(drug_all)]\n", + "\n", + "prot_degree_df.degree.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "1b0ea5d6-80cd-4c6f-9a92-06c4545131f8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 8614.000000\n", + "mean 218.847690\n", + "std 351.239731\n", + "min 1.000000\n", + "25% 2.000000\n", + "50% 6.000000\n", + "75% 368.500000\n", + "max 1942.000000\n", + "Name: degree, dtype: float64" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "drug_degree_df.degree.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "f8a1fe66-d4af-4df5-8a30-c0800ae1bcfa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 5814.000000\n", + "mean 25.888201\n", + "std 85.373106\n", + "min 1.000000\n", + "25% 3.000000\n", + "50% 5.000000\n", + "75% 15.000000\n", + "max 2448.000000\n", + "Name: degree, dtype: float64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dis_degree_df.degree.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "c9c86d6c", + "metadata": { + "tags": [] + }, + "source": [ + "let's check out the disease entity with apparently 2448 links!" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "44766d5d-802b-49a6-9aa1-b04112c3eeff", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " ent degree\n", + "84914 D008106 2448.0" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dis_degree_df[dis_degree_df['degree']==2448]" + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "id": "167102c4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " src rel tgt\n", + "568 A0A0R4IKU3 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "573 A0A0R4IQZ2 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "649 A0A1S6M251 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "669 A0A4X1UM84 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "679 A0AUR5 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "... ... ... ...\n", + "1448521 Q9Z1Q5 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "1448720 Q9Z250 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "1448887 Q9Z2C9 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "1448990 Q9Z2J0 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "1449256 Q9Z2V4 PROTEIN_DISEASE_ASSOCIATION D008106\n", + "\n", + "[2448 rows x 3 columns]" + ] + }, + "execution_count": 204, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_df[train_df['tgt']=='D008106']" + ] + }, + { + "cell_type": "markdown", + "id": "56775b1f-dcad-4a23-a279-af48a74439c3", + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, + "source": [ + "### distributions of node degree in test sets" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "a775e4aa-6254-4d49-a704-f4b6b57889fb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde_ = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "\n", + "test_triples_ent_w_attr_df = nde_.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde_._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "c0aec4da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'src': 554, 'tgt': 16509}" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# we see the count of triples where the {ENTITY_TYPE_W_ATTR_ENCODE} occurs as the head/src vs tail/tgt\n", + "triples_by_node_endpoint = {node_endpoint: len(test_triples_by_node_endpoint_to_predict[node_endpoint]) for node_endpoint in [COL_SOURCE, COL_TARGET]}\n", + "triples_by_node_endpoint" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "ab5e362c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Counts of triples with disease in src/tgt position {'src': 554, 'tgt': 16509}\n", + "i.e.,3.25% test triples with disease occuring in source position than in tail position\n" + ] + } + ], + "source": [ + "print(f\"Counts of triples with {ENTITY_TYPE_W_ATTR_ENCODE} in src/tgt position {triples_by_node_endpoint}\")\n", + "print(f\"i.e.,{round((triples_by_node_endpoint[COL_SOURCE])/(triples_by_node_endpoint[COL_TARGET]+triples_by_node_endpoint[COL_SOURCE])*100, 2)}% test triples with {ENTITY_TYPE_W_ATTR_ENCODE} occuring in source position than in tail position\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "3034472f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Restricting analysis to relations where we predict 'disease' as 'src'\n" + ] + } + ], + "source": [ + "NODE_ENDPOINT_TO_PREDICT = COL_SOURCE\n", + "print(f\"Restricting analysis to relations where we predict '{ENTITY_TYPE_W_ATTR_ENCODE}' as '{NODE_ENDPOINT_TO_PREDICT}'\")" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "015ce9c9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 7284.000000\n", + "mean 48.878913\n", + "std 93.734147\n", + "min 1.000000\n", + "25% 10.000000\n", + "50% 24.000000\n", + "75% 62.000000\n", + "max 1654.000000\n", + "Name: src_training_degree, dtype: float64" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rels_for_ent_w_attr_as_src = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_SOURCE]\n", + "train_triples_ent_w_attr_df[train_triples_ent_w_attr_df[COL_EDGE].isin(rels_for_ent_w_attr_as_src)][f'{COL_SOURCE}_training_degree'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "152bafd0", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 143230.000000\n", + "mean 320.526035\n", + "std 461.623944\n", + "min 1.000000\n", + "25% 43.000000\n", + "50% 149.000000\n", + "75% 390.000000\n", + "max 2448.000000\n", + "Name: tgt_training_degree, dtype: float64" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rels_w_ent_w_attr_as_tgt = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][COL_TARGET]\n", + "train_triples_ent_w_attr_df[train_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_ent_w_attr_as_tgt)][f'{COL_TARGET}_training_degree'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "64c865a1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "src\n", + "['DISEASE_PATHWAY_ASSOCIATION', 'DISEASE_GENETIC_DISORDER']\n", + "['DISEASE_GENETIC_DISORDER' 'DISEASE_PATHWAY_ASSOCIATION']\n", + "tgt\n", + "['PROTEIN_DISEASE_ASSOCIATION', 'DRUG_DISEASE_ASSOCIATION']\n", + "['PROTEIN_DISEASE_ASSOCIATION' 'DRUG_DISEASE_ASSOCIATION']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_56/3684726652.py:11: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " train_triples_w_ent_in_node_position_sliced.rename(columns={\n", + "/tmp/ipykernel_56/3684726652.py:11: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " train_triples_w_ent_in_node_position_sliced.rename(columns={\n" + ] + } + ], + "source": [ + "COL_ENT = \"ent\"\n", + "COL_ENT_DEGREE = \"ent_training_deg\"\n", + "fused_train_triple_ents = pd.DataFrame(columns=[COL_ENT, COL_ENT_DEGREE])\n", + "for node_position, rels in ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE].items():\n", + " print(node_position)\n", + " rels_w_ent_w_attr_in_node_position = ENT_ASSOC_REL_NAMES[ENTITY_TYPE_W_ATTR_ENCODE][node_position]\n", + " print(rels_w_ent_w_attr_in_node_position)\n", + " train_triples_w_ent_in_node_position = train_triples_ent_w_attr_df[train_triples_ent_w_attr_df[COL_EDGE].isin(rels_w_ent_w_attr_in_node_position)]\n", + " print(train_triples_w_ent_in_node_position.rel.unique())\n", + " train_triples_w_ent_in_node_position_sliced = train_triples_w_ent_in_node_position[[node_position, f\"{node_position}_training_degree\"]]\n", + " train_triples_w_ent_in_node_position_sliced.rename(columns={\n", + " node_position: COL_ENT,\n", + " f\"{node_position}_training_degree\": COL_ENT_DEGREE,\n", + " }, inplace=True)\n", + " fused_train_triple_ents = pd.concat([fused_train_triple_ents, train_triples_w_ent_in_node_position_sliced])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "cba5e17b", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['PROTEIN_DISEASE_ASSOCIATION', 'DRUG_DISEASE_ASSOCIATION'],\n", + " dtype=object)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_triples_w_ent_in_node_position['rel'].unique()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "cf7e7e64", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 150514.000000\n", + "mean 307.379898\n", + "std 454.540882\n", + "min 1.000000\n", + "25% 40.000000\n", + "50% 140.000000\n", + "75% 379.000000\n", + "max 2448.000000\n", + "Name: ent_training_deg, dtype: float64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fused_train_triple_deg_distr = fused_train_triple_ents.ent_training_deg.describe()\n", + "fused_train_triple_deg_distr" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "61c8aa67", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " ent ent_training_deg\n", + "13530 D000544 382.0\n", + "13531 D000544 382.0\n", + "13532 D000544 382.0\n", + "13571 D001171 384.0\n", + "13572 D001171 384.0\n", + "... ... ...\n", + "1449472 D013375 409.0\n", + "1449475 D001172 555.0\n", + "1449562 D011471 1823.0\n", + "1449575 D012640 853.0\n", + "1481765 D012640 853.0\n", + "\n", + "[37793 rows x 2 columns]" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fused_train_triple_ents[fused_train_triple_ents[COL_ENT_DEGREE]>=fused_train_triple_deg_distr['75%']]" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "00a9633c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 5814.000000\n", + "mean 25.888201\n", + "std 85.373106\n", + "min 1.000000\n", + "25% 3.000000\n", + "50% 5.000000\n", + "75% 15.000000\n", + "max 2448.000000\n", + "Name: degree, dtype: float64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dis_degree_df.degree.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "6d9b35d4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1510" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#ents_subset_top25pc = fused_train_triple_ents[fused_train_triple_ents[COL_ENT_DEGREE]>=fused_train_triple_deg_distr['75%']][COL_ENT].values\n", + "ents_subset_top25pc = fused_train_triple_ents[fused_train_triple_ents[COL_ENT_DEGREE]>=dis_degree_df.degree.describe()['75%']][COL_ENT].unique()\n", + "len(ents_subset_top25pc)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "c2f4004f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# unique entities of type 'disease' of training degree 1 in associated triples where it occurs in position src: 1\n" + ] + } + ], + "source": [ + "from nb_utils.eval_utils import get_unique_endpoint_entities_in_testset_of_given_degree\n", + "\n", + "DEGREE = 1\n", + "unique_ent_w_attr_as_src_in_test = get_unique_endpoint_entities_in_testset_of_given_degree(test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT], \n", + " degree=DEGREE, node_endpoint_type=COL_SOURCE)\n", + "print(f\"# unique entities of type '{ENTITY_TYPE_W_ATTR_ENCODE}' of training degree {DEGREE} in associated triples where it occurs in position {NODE_ENDPOINT_TO_PREDICT}: {len(unique_ent_w_attr_as_src_in_test)}\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "f46dea00", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_ent_as_src = test_triples_by_node_endpoint_to_predict[NODE_ENDPOINT_TO_PREDICT]\n", + "ent_src_degrees = test_triples_ent_as_src.groupby(['src_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=ent_src_degrees, x='src_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "971fd3d9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "test_triples_ent_as_tgt = test_triples_by_node_endpoint_to_predict[COL_TARGET]\n", + "ent_tgt_degrees = test_triples_ent_as_tgt.groupby(['tgt_training_degree'])[COL_EDGE].agg('count').reset_index()\n", + "sns.scatterplot(data=ent_tgt_degrees, x='tgt_training_degree', y='rel')\n", + "plt.xscale('log')\n", + "#plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "a75f3387", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot, ax = plt.subplots(1, 2, figsize=(10,10))\n", + "sns.boxplot(ax=ax[0], y=test_triples_ent_as_src['src_training_degree'])\n", + "sns.boxplot(ax=ax[1], y=test_triples_ent_as_tgt['tgt_training_degree'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ea77afb", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05bcb6f8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "32357ed1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "87ec52f3", + "metadata": {}, + "source": [ + "### define plotting logic" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "cc0d4350", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:59:28.252411Z", + "start_time": "2023-04-24T12:59:28.194293Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.eval_utils import EVAL_METRICS_CATALOG, get_unique_endpoint_entities_in_testset_of_given_degree\n", + "from nb_utils.eval_utils import INVERSE_HARMONIC_MEAN_RANK\n", + "from nb_utils.eval_utils import HITS_AT_1, HITS_AT_3, HITS_AT_10\n", + "from nb_utils.plot_utils import merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff\n", + "import matplotlib.ticker as ticker" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "b6779294", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:59:29.667129Z", + "start_time": "2023-04-24T12:59:29.602505Z" + } + }, + "outputs": [], + "source": [ + "from nb_utils.eval_utils import NodeDegreeEvalAnalyser\n" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "7d3ebacf", + "metadata": { + "ExecuteTime": { + "end_time": "2023-04-24T12:59:50.287397Z", + "start_time": "2023-04-24T12:59:50.223480Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "disease ['rotate-otxtubeb', 'bioblpd-38uz9fjs-16-03-2023']\n", + "protein ['rotate-otxtubeb', 'rotate-bioblp-p-4o6x9h96']\n", + "drug ['rotate-otxtubeb', 'rotate-bioblp-m-1r75g9na']\n" + ] + } + ], + "source": [ + "NODE_DEGREE_EVAL_RESULTS_DIR = Path(\"metrics/node_degree_eval_lp/combined_spotlight_ent_as_src_and_tgt\")\n", + "#NODE_DEGREE_EVAL_RESULTS_DIR = Path(\"metrics/node_degree_eval_lp/spotlight_ent_as_src\")#_and_tgt\")\n", + "\n", + "ent_type_specific_models = {\n", + " DISEASE: [ROTATE, BIOBLP_D],\n", + " PROTEIN: [ROTATE, BIOBLP_P],\n", + " DRUG: [ROTATE, BIOBLP_M]\n", + "}\n", + "eval_out_dir = NODE_DEGREE_EVAL_RESULTS_DIR\n", + "results_dicts = {}\n", + "for ent_type, model_list in ent_type_specific_models.items():\n", + " print(ent_type, model_list)\n", + " results_dicts.update({ent_type: {}})\n", + " for model_name in model_list:\n", + " file_name = f\"node-degree-eval-{model_name}-spotlight-{ent_type}-as-src-and-tgt.json\"\n", + " #file_name = f\"node-degree-eval-{model_name}-spotlight-{ent_type}-as-src.json\"\n", + " with open(eval_out_dir.joinpath(file_name), 'r') as f:\n", + " result = json.load(f) \n", + " results_dicts[ent_type].update({model_name: result})" + ] + }, + { + "cell_type": "code", + "execution_count": 252, + "id": "3520f14b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " degree hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 148.0 0.103448 0.241379 0.310345 \n", + "1 4.0 0.073016 0.082540 0.095238 \n", + "2 2.0 0.039648 0.048458 0.052863 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate count \\\n", + "0 0.413793 0.204842 29 \n", + "1 0.098413 0.083203 315 \n", + "2 0.057269 0.046961 227 \n", + "\n", + " hits_at_1_bioblp hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.000000 0.000000 0.000000 0.000000 \n", + "1 0.041270 0.050794 0.050794 0.050794 \n", + "2 0.030837 0.035242 0.035242 0.035242 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.001497 4 0.103448 0.241379 \n", + "1 0.046082 264 0.031746 0.031746 \n", + "2 0.032517 192 0.008811 0.013216 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.310345 0.413793 0.203345 \n", + "1 0.044444 0.047619 0.037121 \n", + "2 0.017621 0.022026 0.014444 " + ] + }, + "execution_count": 252, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from nb_utils.plot_utils import plot_node_degree_analysis_multimodel_lp_eval_diff\n", + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "BIOBLP_MODEL_ID = BIOBLP_D\n", + "ROTATE_MODEL_ID = ROTATE\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][BIOBLP_MODEL_ID],\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_ent_w_attr_df,\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK,\n", + " plot_title=False) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 253, + "id": "98e85e77", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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7jR49ejBgwADmz59fY81nvV7PsmXLuP/+++natSs9e/bkmWeeMSS5rrJ9+3ZGjRpFly5deOKJJ9izZ4+hB3jNmjUArFmzxrBt06ZNPPTQQ4SFhbF3716gsmTf7Nmz6dOnD2FhYYwbN47Vq1cb3ac+z0NjkHJ0QgghxC3Yt2+foRxaRUUFFy9e5JdffuHChQusWrUKDw8POnTowIULFwDo0KEDtra2+Pr61nrNl156iV27dqFUKunYsSPp6en8+uuvHDt2jF9++QUHBweSk5M5dOgQnp6eBAYGkpKSwqlTp3jjjTdwcHAwVEOpuhaAi4sLDg4OxMTEkJGRQfv27Q33PHnyJCdOnMDT05Pi4mJ2797Nhx9+yCeffHLTn8Fvv/2Gubk5jo6OZGZmsmHDBry9vXnllVeAymolq1atAsDPz4/8/HyioqI4fPgwX331FYMHDyYrK4uZM2dSXFyMhYUFGo3GqOZxldzcXB577DFSUlKwtrYmICCAhIQEFi5cSHx8PF999VWt7ZwzZw6bN28GwM3Nje+++67GMn9z587lhx9+ACr/vPLy8ti1axdHjhxh7dq1+Pr6cu7cOV566SW0Wi3W1tZkZ2fzpz/9qc6f05///GccHR3x8vIC4NixY0yZMoXy8nKcnZ3x9/cnLi6Ot99+m7y8PKZNmwbU73loDNIzKIQQQtyCjz/+mEOHDrFhwwY2bdrE3//+dwBiYmJITExkwoQJRuXF3nvvPX7++Weef/75Gq93+PBhQ/C2cOFCNmzYwPbt23F0dOTKlSv8+OOPAISHh7Nv3z527tzJ2rVr2bdvH/7+/gBs3Lix2rUmTZrE3r17+e2339i5c6dRrV2o7H1asWIFW7ZsYcSIEQAcPHiwXj8Dc3NzNm3axLZt2wgLCwMw9PolJSUZerqeeOIJtm3bxo4dO2jXrh06nY7PPvsMgB9//JHi4mIUCgXLly/nt99+q7H3dNmyZaSkpKBSqdiyZQvr169nyZIlAOzatavW3sSkpCRDIDh16lS2bNnCli1bMDc3NzouOTmZZcuWAfD+++/z22+/sWvXLgIDAykoKODrr78G4JtvvkGr1WJlZcXGjRvZvHkzTz75ZJ0/p1GjRrFnzx62bt3K0KFD+e9//0t5eTm9e/dmz549bNy40RBQzps3j7Kysno/D41BegaFEEKIW3D27FnefvttLl68SHFxsdG+jIwM/Pz8GnS9EydOGF5Pnz691v1KpZIPP/yQgwcPkpOTY9TDVTVEff21Zs6ciYmJCQDu7u7VrhsUFGQoU9ahQwe2bdtGdnZ2vdrct29fwzXbt2/PqVOnDDWMY2JiDEOxY8eOBcDW1pYhQ4awePFiYmNj0Wq1xMXFAeDv70/nzp0BGD16NHPmzDG618mTJwFQq9UMGjSoxp9Pz549q22vun7VdQGcnZ3p06cPW7duNey7vr3vvvsu7777brXrA5w/fx6oDMqrevoiIyNZsGBBrT+nyZMno1RW9r+ZmJgYPsvhw4cNQXSVoqIizp8/X+/noTFIMCiEEEI00JEjR3jrrbfQ6/WoVCo6dOhAcXGxYUi4piHIm7l+DlvXrl1RKBRG+z09PYHKIcc//vgDhUJBhw4dsLGxIT4+nqKiInQ6XYPva29vb3htamparS0NPbcmN36WW1HVJmtrawIDA6vtt7Ozu6Xr1fQ+JCQECwsLo/1ubm5G7xvymVxcXGrc7ubmZvhzvZ5Sqaz389AYJBgUQgghGujkyZOGX9YbNmzAzc2NBQsWVJtnZ2VlZXhdUlJS5zW7du1qeP30008zZswYoDJIOXLkiCHYOX78OACPPvoo77//Pmq1mrFjx1JUVGQ4v1u3bobX33zzDXPmzEGpVJKZmYlCoag1OGlMYWFhKBQK9Ho9GzZsoEePHhQWFrJ7924AQkNDMTExITAwkG3btpGYmEhsbCyhoaGGYd3rde3alb1796JQKPj3v/9tGBovLS1l9+7d9O/fv8Z2XB84bt68mR49epCTk8Phw4eNjuvSpYuhvZGRkUbzFk+dOmVYpBIUFMSZM2c4duwY6enpuLu7G4bn66tLly4cOnQINzc3Fi9ejLW1NQA5OTkcOHCATp06UVBQYDi+ruehMUgwKIQQQjRQcHCw4fW4ceNwcnIiJyen2nG+vr6YmZlRXl7Om2++ib+/P9OmTeO+++6rdmxERAT33HMPe/fu5ZVXXuGzzz7D3NyclJQUioqK+Oc//0lISAjBwcFER0ezcuVKjh49SkZGRrVeo969ezN06FB27drFsmXL2Lp1KyqVikuXLvHNN980SzDo5+fHww8/zKpVq1i2bBn79u0jPz8ftVqNUqnk5ZdfBuDxxx9n8eLFFBcXM3HiRHx8fEhJSal2vSeeeILVq1eTmppKZGQk7du3p6ysjNTUVDQaDTt27DDqqby+HaNGjWLLli0sXryY3bt3k52dTVlZmdFxvr6+TJw4keXLl/PJJ5+wfPly7OzsSEtLIy8vjxdeeIHw8HCmTZvGhg0bKC4uZsyYMbi6ujZ4de/LL7/MU089xalTpxg4cCB+fn6o1WrDgqTIyMh6Pw+NQRaQCCGEEA00YMAAXn/9ddzc3CgrKyMgIMBosUgVR0dH3nnnHTw9PcnLy+PEiROGOXU1mT9/Pi+++CIBAQGkpKSQlpaGr68v06ZNo0+fPkBlreKIiAgsLCwoKSnh7bffNgpOq3z++ee88sordOjQAbVazZUrVwgLC6s23NmU3n//fd544w06duxoCNoiIiL49ttvGTx4MACurq58/fXXBAcHo9VqUSqVfPnll9Wu5eTkxIoVK5gwYQJOTk4kJCRQWFhIly5dePXVV+sMcOfOnUtkZCRWVlbk5eUxadIkw/zB67377rvMmTOHkJAQsrOzSU5OxtXVlUmTJjFy5Eig8ovAZ599Rrt27dBoNKhUKubOnWu4hqWl5U1/Lr169WLZsmUMHToUU1NTQ+qawYMH89JLLxmOq8/z0BgU+vpODBBGqrqyW/s9hLjTyHMvWlJLPH8lJSVGw8niznfx4kWj9Dzz58/n888/B2DTpk3VVmw3p9qe4bqebRkmFkIIIYRogEcffRQvLy+8vb1JS0vj9OnTAIwfP75FA8FbJcGgEEIIIUQD3HvvvRw8eJALFy5gampK586defDBB3niiSdaumm3RIJBIYQQQogG+Oc//9nSTWhUsoBECCGEEKINk2BQCCGEEKINk2BQCCGEEKINk2BQCCGEEKINk2BQCCGEEKINk2BQCCGEEKINk2BQCCGEEM1qzpw5jBkzhh49ehAREcHMmTM5f/68Yf+aNWsIDg6u9l9MTIzhmOTkZJ599ll69OhBz549efnll8nMzGyJj9PqSZ5BIYQQQjSrlStX0q1bNyIjI/njjz/Yu3cv586dY9u2bVhYWBiOGzBgAB06dDC8r6o/rNPpmD17NvHx8QwcOBCNRsPmzZtJS0tjxYoVzf55WjsJBoUQQghhEBsby/Lly0lMTMTPz49JkyY1er3m5cuXEx4eDlT28A0fPpz09HTi4+Pp3Lmz4bixY8fy0EMPVTt/586dxMfHExQUxKJFi9DpdIwYMYLjx48TFRVFREREo7b3bifDxEIIIYQA4Ntvv2XmzJls3ryZU6dOsXnzZmbOnMm3337bqPepCgQBysvLAVAqlbi6uhod98EHH9C1a1fuu+8+lixZYth+5swZAMLCwlAoFJiYmBgC1tjY2EZta1sgwaAQQgghiI2N5dtvv6W0tBSdTgdUDseWlpby7bffNkmQVVRUxF/+8hcAnn76adzc3IDKwLBLly6MHj2ae+65h8TERP7xj38YhoCzsrIAsLa2NlzLysrKaJ+oPwkGhRBCCMHy5cvRaDQ17tNoNPz000+Ner+cnBymTp1KdHQ0jz76KH/+858N+x544AFWrVrF3LlzmTdvHtOnTwdg69atwLW5g8XFxYZzql5X7RP1J8GgEEIIIUhMTDT0CN5Ip9Nx+fLlRrtXSkoKkyZNIiYmhlmzZvH3v/8dhUJh1JaaKJWVYUvVkHBMTAx6vR6tVmsYOg4JCWm0drYVsoBECCGEEPj5+XHmzJkaA0KlUom/v3+j3WvixIlkZGTg5eVFaWkpH3zwAQDjxo2ja9euzJkzB7VaTZcuXcjPz2fnzp0AREZGAjB8+HACAgI4f/4806dPR6PRkJqaSteuXenbt2+jtbOtkGBQCCGEEEyaNImdO3dSWlpabZ+5uTkTJ05stHtlZGQAcOXKFb7//nvD9tDQULp27cr999/PihUr2Lp1K1qtluDgYKZMmcKDDz4IVAanCxYs4IMPPiAqKgqAUaNG8c477zRaG9sSCQaFEEIIQWhoKNOmTePbb79Fo9Gg0+lQKpWYm5szbdq0Rk0vc+7cuTr3T5gwgQkTJtR5jK+vL1999VWjtaktk2BQCCGEEABMmzaNfv368dNPP3H58mX8/f2ZOHFio+cZFHcWCQaFEEIIYRAaGsrf/va3lm6GaEaymlgIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQzWry5MkEBwcb/Td27FjD/k2bNhEZGUlYWBjDhg1j4cKFRucnJyfz7LPP0qNHD3r27MnLL79MZmZmc3+Mu4YknRZCCCEEABUVFezevZtVq1aRnZ2Ns7MzjzzyCEOGDMHUtPFDhilTphheu7q6AhAdHc0rr7yClZUVkZGRHDhwgI8//hg7OzsmTpyITqdj9uzZxMfHM3DgQDQaDZs3byYtLY0VK1Y0ehvbAgkGhRBCCEFGRgYzZ84kNzeX4uJiAC5evMiZM2f44osvWLhwIW5ubo16z3feeafatoULF6LX63nxxReZNm0aBw4c4KmnnmLBggVMnDiRnTt3Eh8fT1BQEIsWLUKn0zFixAiOHz9OVFQUERERjdrGtkCGiYUQQog2rqKigpkzZ5KWlmYIBKsUFxeTlpbGzJkzqaioaNT79u7dm969ezN16lROnjwJQGxsLABhYWFG/09JSSE/P58zZ84YtisUCkxMTAy1k6vOFQ0jwaAQQgjRxu3evZvc3Fy0Wm2N+7VaLbm5uezZs6dR7mdjY8PQoUMZPXo0np6eHDx4kBkzZpCZmUlWVhYA1tbWAFhZWRnOq2n/9cdU7RMN0yqHidVqNfPnz2f79u1kZmaiUqkYNGgQL730Ep6enjc9Py4ujv/9738cOXKEnJwczMzM8Pf3JzIykqeffhozM7Nm+BRCCCHEnWHVqlXVegRvVFxczKpVqxg+fPht3+9///sfCoUCAI1Gw3333UdKSgpRUVG4uLhw5coVQ3uub5erqysuLi7Vtle9rtonGqbVBYMFBQVMmjSJhIQEw7bMzEzWrFnDvn37WLFiBd7e3rWen5SUxGOPPWb0EFVUVHD27FnOnj1LQkICH374YZN+BiGEEOJOkp2d3ajH1aWkpIT8/Hzc3d2r7VMqlYSEhHDlyhVOnjxJnz59iImJAcDLywt7e3vDkHBMTAx6vR6dTmcYOg4JCbnt9rVFrW6YeP78+YZAcMaMGURFRTFnzhygMij86KOP6jx/06ZNhkDwnnvu4fDhw6xcuRILCwsA1q9fT1FRURN+AiGEEOLO4uzs3KjH1SU7O5vhw4czY8YM3n33XR555BFSUlJwcXGhb9++zJgxA4VCwfz583nzzTd56623AJg5cyYAw4cPJyAggPPnzzN9+nSmTp1KamoqXbt2pW/fvrfdvraoVQWDer2etWvXApXzA15++WVUKhWTJ0/G19cXgB07dpCXl1frNZTKax952LBh2Nvb07VrV9q1awdUzosoLy9vug8hhBBC3GEeeeQRozl4NbG2tuaRRx657XupVCoefPBBLl26xC+//EJ2djb33nsvixcvxsnJiZ49e/Lpp5/i6enJxo0bMTEx4bXXXmPSpElA5e/xBQsWMHToUKKjozl9+jSjRo1i3rx5t922tqpVDRMnJyejVqsB8PPzw9zc3LCvY8eOJCUlUVFRwZkzZ+jXr1+N14iMjGTBggXk5eWxc+dOIiMjuXTpEhcvXgSgW7duqFSqpv4oQgghxB1jyJAhfPHFF5SVldW4iMTExARHR0cGDx582/eytbVl7ty5dR4zZswYxowZU+t+X19fvvrqq9tui6jUqnoGr18lZGdnZ7Tv+vc5OTm1XsPT05Off/6Z9u3bs3fvXnr37s2ECRPQaDQMHTpUvlkIIYRoc0xNTVm4cCEeHh7Vegitra3x8PBg4cKFTZJ4WrS8u+ZPVa/X1+u4zMxMnnvuOUNP4PVSUlJISEioV1JNtVrNggULGtzOhigtLWXfvn1Neg8h7jTy3IuW1L1792Yva6bT6SgsLGzWe9ZEoVDw1VdfcfDgQX799Vdyc3NxdHRk7Nix9O3bF4VCISXfWoGCgoIa45NBgwbVek6rCgavXzKen59vtO/6v0hOTk61XmPhwoVcuHABgEmTJvH666+TnZ3NrFmziIuL45lnnmHLli01rnK6nkqlYtasWbfyMeotNjbWsGpKiLZCnnvRkmJjYw1l0ZpLSUmJUS69ljZ+/HjGjx/f0s0QtygrK6vG+KSuhNytapjYx8fHMJ8vMTERjUZj2BcfHw9UdnV36tSp1mtUBYIADz30ELa2tvj7+zNw4ECg8i9ldHR0E7ReCCGEEOLO06qCQYVCYfi2UlpaymeffUZeXh5Lly4lKSkJqFxy7uDgQFRUFMHBwQQHBxuWpQNGPX5r1qyhsLCQxMRE9u/fb9ju4ODQTJ9ICCGEEKJltaphYoDnn3+ePXv2kJCQwKJFi1i0aJFhn6urK2+++Wad50+ZMoWNGzdSWlrK8uXLWb58udH+0NBQevXq1SRtF0IIIYS407SqnkGoXDW8fPlyJk+ejJeXF2ZmZri6uvLQQw+xcuXKOquPQGV28p9++onRo0fj5uaGqakpFhYWBAQEMH36dJYsWSLl6IQQQgjRZrS6nkGoXLwxZ84cQ+WRmkRERHDu3Lka94WGhvLf//63iVonhBBCCNF6tLqeQSGEEEII0XhaZc+gEEIIIRqfXq/n2LFjbNmyhZycHJycnBg1ahTh4eEoFIpGuUdUVBRTpkypcd8///lPAP7yl79U27dq1Sq6dOkCVFYk++CDDzh48CBKpZKBAwcyZ86cZk8LdLeQYFAIIYQQxMbG8sYbb6BWqyktLUWv16NQKNi0aRMqlYp//etfjZID1MPDwygYLC4uZtWqVUBlqdnExEQABgwYQIcOHQzHVeUa1ul0zJ49m/j4eAYOHIhGo2Hz5s2kpaWxYsWK225fWyTBoBBCCNHGxcbGMmvWLEpKSoy26/V6SkpKKCkpYdasWSxcuJCQkJDbupe/vz/vvPOO4f3SpUsB6NSpE7169TIEg2PHjuWhhx6qdv7OnTuJj48nKCiIRYsWodPpGDFiBMePHycqKoqIiIjbal9bJHMGhRBCiDZMr9fzxhtvVAsEb1RSUsKf//znepd/re+9f/jhBwCmTp1qtO+DDz6ga9eu3HfffSxZssSw/cyZMwCEhYWhUCgwMTEx9FjWVWVD1E6CQSGEEKINO3bsGGq1ul7HqtXqRq3StWvXLi5duoSrqytjxowBQKlU0qVLF0aPHs0999xDYmIi//jHPwxDwFlZWQBYW1sbrlNVzq9qn2gYCQaFEEKINmzLli2UlpbW69jS0lK2bNnSaPeu6vGbNGkS5ubmADzwwAOsWrWKuXPnMm/ePKZPnw7A1q1bgWtzB4uLiw3XqXpdtU80jASDQgghRBuWk5NT76FfvV5PTk5Oo9z33LlzHDx4EAsLCyZNmmTYXjVn8EZKZWXIUjUkHBMTg16vR6vVGoaOb3c+Y1slC0iEEEKINszJyQmFQlGvgFChUODk5NQo963qFRw3bpzRNefMmYNaraZLly7k5+ezc+dOACIjIwEYPnw4AQEBnD9/nunTp6PRaEhNTaVr16707du3UdrW1kjPoBBCCNGGjRo1CktLy3oda2lpyahRo277njk5Ofz6669A9YUj999/PxYWFmzdupXff/+d4OBgPvzwQx588EGgsodwwYIFDB06lOjoaE6fPs2oUaOYN2/ebberrZKeQSGEEKINCw8PR6VS3XQ1MYCjoyM9evS47Xs6OTlx8uTJGvdNmDCBCRMm1Hm+r68vX3311W23Q1SSnkEhhBCiDVMoFPzrX/8yrMitjZWVFf/6178arRKJuHNIMCiEEEK0caGhoSxYsABPT0+srKwMAZ9CocDKygpPT89GSTgt7kwyTCyEEEIIQkNDWb9+PdHR0dVqE/fo0UN6BO9iEgwKIYQQAqjsCQwPDyc8PLylmyKakQwTCyGEEEK0YRIMCiGEEEK0YRIMCiGEEEK0YRIMCiGEEEK0YbKARAghhBAGarWao0ePUlxcjLW1NT179kSlUrV0s0QTkmBQCCGEECQkJPD111+zb98+zMzM0Ol0KJVKysvLGTRoELNnzyYgIKBR7rV48WJWr15NfHw8Op2OF154gRdffNGwf9OmTcybN4/Lly/j5ubGpEmTmDlzpmF/cnIyH3zwAQcPHkSpVDJw4EDmzJmDq6srADqdjvnz57Ny5UpycnLo0KEDr776KoMHD26U9t9tZJhYCCGEaOMOHTrE1KlT2blzJxqNhqKiIkpKSigqKkKj0bBz506mTp3KoUOHGuV+p0+fRqVS4enpWW1fdHQ0r7zyCleuXCEyMpKKigo+/vhjfvrpJ6Ay0Js9ezY7d+4kPDycTp06sXnzZl544QXDNRYtWsS8efMwNTUlMjKShIQEnn32Wc6fP98o7b/bSDAohBBCtGEJCQm89tprlJSUoNfrazxGr9dTUlLCa6+9RkJCwm3f89///jdLly6tsaLJwoUL0ev1vPjii3z00Ud89NFHACxYsACAnTt3Eh8fT1BQEIsWLWLx4sV4e3tz/PhxoqKiqKio4JtvvgHg888/56OPPmL69OlotVrDdmFMgkEhhBCiDfv6668pLS2t17GlpaWGoKypxMbGAhAWFmb0/5SUFPLz8zlz5oxhu0KhwMTEhNDQUMO5qampqNVqlEolnTt3NrpG1bWFMQkGhRBCiDZKrVazb9++WnsEb6TX69m7dy9qtbrJ2pSVlQWAtbU1AFZWVoZ9mZmZ1fZff0xWVhbZ2dkAWFpaGkroVR1bda4wJsGgEEII0UYdPXoUMzOzBp1jZmbGsWPHmqhF4OLiAkBxcbHR/wFcXV2r7b/+tYuLC87OzkBlL6ZOp6u2X1QnwaAQQgjRRhUXFxsCpvrS6XQUFRU1UYswzCM8efIkADExMQB4eXlhb29vGBKOiYlBr9ej1WoNQ8chISF4enqiUqnQ6XScOnXK6Bo1zVEUklpGCCGEaLOsra1RKhvWL6RUKrGxsbmt+65cuZKjR48agrjt27eTkpLCvffey4wZM9i1axfz58/n/Pnz/PHHHwCG1DLDhw8nICCA8+fPM336dDQaDampqXTt2pW+ffsC8PTTT/Of//yHP/3pT/Tq1YtNmzZhYmLC9OnTb6vddyvpGRRCCCHaqJ49e1JeXt6gc8rLywkPD7+t+x49epS1a9eSmpoKwNmzZ1m7di2xsbH07NmTTz/9FE9PTzZu3IiJiQmvvfYakyZNAiqD0QULFjB06FCio6M5ffo0o0aNYt68eYbrz5w5k2effZby8nJ+++032rdvz/z58wkKCrqtdt+tFPr6zhoVRmJjYw1d1a35HkLcaeS5Fy2pJZ6/kpISo0USze3NN99k586d9VpEolAoGD58OB9++GEztEzcitqe4bqebekZFEIIIdqw2bNnY2lpWa9jLS0tmTVrVhO3SDQ3CQaFEEKINiwgIIBPPvkEKysrQyqWGykUCqysrPjkk08arSSduHNIMCiEEEK0cX369GHJkiUMHz4cc3NzbGxssLKywsbGBnNzc4YPH86SJUvo06dPSzdVNAFZTSyEEEIIAgIC+PDDD1Gr1Rw7doyioiJsbGwIDw9HpVK1dPNEE5JgUAghhBAGKpWKYcOGtXQzRDOSYWIhhBBCiDZMgkEhhBBCiDZMgkEhhBBCGNHpdJSUlDS4VJ1onWTOoBBCCCEoLy9n586dLFmyhPPnz6NUKtHpdAQFBTF16lSGDh2KmZlZSzdTNAHpGRRCCCHauLNnzzJ69Gg++OAD4uLi0Ov1aLVa9Ho9586dY+7cuYwePZqzZ882yv0WL17MuHHjCA0NJTg4mC+++MKw79dff+Xxxx+nb9++dOvWjbFjx7Jq1Sqj84ODg6v99/777xv263Q6vvjiC+655x7CwsJ44IEH2LNnT6O0/W4kwaAQQgjRhp09e5aZM2eiVqspLi6u8Zji4mLUajUzZ85slIDw9OnTqFQqPD09q+3bv38/SUlJDBw4kJ49e3L+/Hneeecddu7caXScu7s7U6ZMMfwXERFh2Ldo0SLmzZuHqakpkZGRJCQk8Oyzz3L+/PnbbvvdSIaJhRBCiDaqvLycF154gZKSknodX1JSwgsvvMCmTZtua8j43//+NwDPPfccKSkpRvueeOIJ3n//fczNzQGYPHkyhw4d4o8//jBKeePv788777xT7doVFRV88803AHz++eeEhYXh6enJ//73P7755hupq1wD6RkUQggh2qhdu3ah0WgadI5Go2H37t1N0yCgS5cuhkAQKgNWqOwJvN6JEyfo1q0bAwcO5M9//jMZGRkApKamolarUSqVdO7cGYCwsDAAYmNjm6zdrZkEg0IIIUQbtWTJklqHhmtTXFzM4sWLm6ZBN/juu++Ijo7G39+fSZMmGba7urpy7733Mm7cOADWr1/PSy+9BEB2djYAlpaWhlrL1tbWAGRlZTVLu1sbGSYWQggh2iCdTkdcXNwtnVu1yKQq2GoK8+bN44svvsDX15fFixdja2tr2Ldv3z7DvRMSEhg9ejTR0dFkZGTg7OwMQGlpKTqdDqVSaQh4XVxcmqy9rZn0DAohhBBtUFlZGUrlrYUBSqWSsrKyRm5RJZ1Ox//93//xxRdf0KlTJ5YvX46Xl5dhf3p6OqWlpTWea2JigqenJyqVCp1Ox6lTpwCIiYkBICQkpEna3NpJz6AQQgjRBllYWNxyUmmdToeFhcUt33vlypUcPXqUM2fOALB9+3ZSUlK49957iYmJYfny5SiVSkJDQ1mwYAFQuWDkySef5Pfff+ejjz4iIiICe3t7w/zFfv36GXoFn376af7zn//wpz/9iV69erFp0yZMTEyYPn36Lbf5bibBoBBCCNEGKZVKgoKCOHfuXIPPDQoKuq0h4qNHj7J27VrD+7Nnz3L27Fm8vb1JT08HKgPO1atXG47p06cPTz75JGFhYfTq1Ytjx46hVqtxc3Nj8uTJvPDCC4ZjZ86cSWlpKatXr+a3334jICCAV155haCgoFtu891Modfr9S3diNYoNjaW0NDQVn8PIe408tyLltQSz19JSQlWVlbNes8qW7duZe7cuQ1aRGJtbc1f//pXRowY0YQtE7eqtme4rmdb5gwKIYQQbdTQoUON0rjUh7m5OUOGDGmaBokWIcGgEEII0UaZmZkxb968evdMWllZMW/ePKlRfJeRYFAIIYRow0JCQli4cCEqlcqQj+9G1tbWqFQqFi5cKCty70KygEQIIYRo40JCQti0aRO7du1iyZIlxMXFoVQq0el0BAUF8dRTTzFkyBDpEbxLSTAohBBCCMzMzBg5ciQjR45Er9dTVlaGhYVFkyaWFncGGSYWQgghriNJNkChUBiVcxOtw60+uxIMCiGEEFdZWlqSnZ0tAaFodfR6PdnZ2VhaWjb4XBkmFkIIIa7y8fEhOTmZzMzMZrtneXm5zMUTjcLS0hIfH58GnyfBoBBCCHGVmZkZ7du3b9Z7SqJ10dJkmFgIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog2TYFAIIYQQog1rlXkG1Wo18+fPZ/v27WRmZqJSqRg0aBAvvfQSnp6e9bpGeno6CxYsYPfu3aSnp2NlZYWPjw/3338/Tz/9dBN/AiGEEEKIO0OrCwYLCgqYNGkSCQkJhm2ZmZmsWbOGffv2sWLFCry9veu8xtmzZ3n66afJyckxbCsvL+fMmTNYWlpKMCiEEEKINqPVDRPPnz/fEAjOmDGDqKgo5syZA1QGhR999FGd51dUVPDyyy+Tk5ODmZkZ7777Lr///jtHjx5l5cqVPPLII03+GYQQQggh7hStKhjU6/WsXbsWACsrK15++WVUKhWTJ0/G19cXgB07dpCXl1frNbZv386lS5eAymDyiSeewMXFBVtbW7p27crDDz/c5J9DCCGEEOJO0aqCweTkZNRqNQB+fn6Ym5sb9nXs2BGo7Pk7c+ZMrdc4cOCA4XVeXh7jxo2ja9eu3HPPPXzwwQcUFRU1TeOFEEIIIe5ArWrOYFZWluG1nZ2d0b7r318/F/BGqamphtc//vij4XV6ejrff/89MTExLFu2DBMTk8ZoshBCCCHEHa1VBYN10ev19TquoqLC8NrLy4vvvvsOa2trnnnmGU6fPk10dDQ7duxg5MiRdV5HrVazYMGC22rzzZSWlrJv374mvYcQdxp57kVbI8+8aA6DBg2qdV+rCgZdXFwMr/Pz8432FRYWGl47OTnVeg1HR0fD65EjR9KuXTsAHnjgAU6fPg3A6dOnbxoMqlQqZs2aVe+234rY2FhCQ0Ob9B5C3GnkuRdtjTzzojnExsbWuq9VzRn08fFBpVIBkJiYiEajMeyLj48HwNTUlE6dOtV6jc6dO9/0PlZWVrfXUCGEEEKIVqJVBYMKhYLx48cDld3qn332GXl5eSxdupSkpCQAhg8fjoODA1FRUQQHBxMcHMxbb71luEZkZKRh4cnWrVu5fPkyGRkZrFu3znBMv379mvFTCSGEEEK0nFYVDAI8//zzBAQEALBo0SL69OnD3LlzAXB1deXNN9+s83x3d3feeOMNAK5cucLIkSMZNGiQYYj4kUceoVu3bk34CYQQQggh7hytas4gVK4aXr58OfPmzWPHjh23VI5u8uTJeHh48O233xIbG4tOp6Njx45MmDCBiRMnNsOnEEIIIYS4Myj09V2GK4w0x4RfmVQs2iJ57kVbI8+8aA51PWetbphYCCGEEEI0HgkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCCHaMAkGhRBCCGFQWl6BTqdv6WaIZiTBoBBCCCHQ6vT8fCSJUf/dx/QlhzmXVtDSTRLNxLSlGyCEEEKIlhedmMsbq04CcDm7GEcbcz59tHvLNko0C+kZFEIIIQTFGq3R+1R1aQu1RDQ3CQaFEEIIQRdveyK7eAJgYapk1j3tW7hFornIMLEQQgghcLSx4IPxYTw9oB32VmYEudu1dJNEM5FgUAghhBAAqKzN6dXOqaWbIZqZDBMLIYQQQrRhEgwKIYQQQrRhEgwKIYQQQrRhEgwKIYQQQrRhEgwKIYQQQrRhrXI1sVqtZv78+Wzfvp3MzExUKhWDBg3ipZdewtPTs0HXevbZZ9m5c6fh/bFjx7CxsWnsJgshhBBC3JFaXTBYUFDApEmTSEhIMGzLzMxkzZo17Nu3jxUrVuDt7V2va23evNkoEBRCCCGEaGta3TDx/PnzDYHgjBkziIqKYs6cOUBlUPjRRx/V6zoFBQXMnTsXpVKJhYVFk7VXCCGEEOJO1qqCQb1ez9q1awGwsrLi5ZdfRqVSMXnyZHx9fQHYsWMHeXl5N73Wv//9bzIzM3nyySdxcXFp0nYLIYQQQtypWlUwmJycjFqtBsDPzw9zc3PDvo4dOwJQUVHBmTNn6rzOkSNH+Pnnn/Hy8uJPf/pTUzVXCCGEEOKO16qCwaysLMNrOzvjmonXv8/Jyan1GhqNhnfffRe9Xs///d//yWIRIYQQQrRprW4BSW30en29jvv666+5cOECY8eOZfDgwbd8P7VazYIFC275/PooLS1l3759TXoPIe408tyLtkaeedEcBg0aVOu+VhUMXj+3Lz8/32hfYWGh4bWTU81FtktKSvj6668xNzfnoYceIjY2FqjsLawSFxeHu7s7Xl5edbZFpVIxa9asBn+GhoiNjSU0NLRJ7yHEnUaee9HWyDMvmkNVzFOTVhUM+vj4oFKpUKvVJCYmotFoDPMG4+PjATA1NaVTp041nl9eXk55eTkA06ZNq/GYiRMnMn78eD788MMm+ARCCCHE3UGn06NUKlq6GaIRtKo5gwqFgvHjxwOV3eqfffYZeXl5LF26lKSkJACGDx+Og4MDUVFRBAcHExwczFtvvdWSzRZCCCHuGiWaCr7Zf5Exn+/jb+tPc0Vd0tJNErepVfUMAjz//PPs2bOHhIQEFi1axKJFiwz7XF1defPNN2s9197ennPnzlXbPmzYMFJSUgCpQCKEEELUZX98Fn//tTJrx9m0ArwdrZgxKKCFWyVuR6vqGYTKVcPLly9n8uTJeHl5YWZmhqurKw899BArV66sd/URIYQQQjRcXnG50fvsIk0tR4rWotX1DELl4o05c+YYKo/UJCIiosZewJpISTohhBCifnr6OxLkbktceiG2FqYMDXZr6SaJ29Qqg0EhhBBCtIz2rrZ891RvLmYX425nQaC73c1PEnc0CQaFEEII0SDejtZ4O1q3dDNEI2l1cwaFEEIIIUTjkWBQCCGEEKINk2BQCCGEEKINk2BQCCGEEKINa7RgUKPRsHz58sa6nBBCCCGEaAa3HQyWlJTw3XffMXz4cN5///3GaJMQQgghhGgmN00ts3r1ahYvXszly5dxcHAgMjKS1157DTMzM3744Qe+/PJLcnJyCAwM5LXXXmuONgshhBBCiEZSZzC4YcMG3nnnHaytrQkKCiItLY0lS5ZQWlpKQUEBGzduJDw8nH/84x8MGTKkmZoshBBCCCEaS53B4LJly2jXrh0//vgjTk5OaLVa3nrrLX7++Wesra354osvGDFiRHO1VQghhBBCNLI65wzGxcUxYcIEnJycADAxMWHGjBnodDqeeeYZCQSFEEIIIVq5OoPB4uJiXF1djbZVvQ8JCWm6VgkhhBBCiGZx09XECoWixvcmJiZN0yIhhBBCCNFsbrqaeNWqVRw6dMjwXqPRoFAoWLx4Mb/99pvRsQqFQtLLCCGEEEK0IjcNBqOiooiKiqq2fc+ePdW2STAohBBCCNG61BkMnj17trnaIYQQQgghWoDUJhZCCCGEaMMaLRg8e/Ysr7zySmNdTgghhBBCNIObzhkEyMnJISkpCQcHB9q1a2e07+TJk3z55Zfs2bNHVhgLIYQQQrQydQaDGo2Gv/71r2zYsAG9Xg9AaGgo8+bNw8rKivfee49t27ZhYWHBxIkTmTZtWrM0WgghhBBCNI46g8GFCxeybt06unfvTnh4OMnJyWzbto23336b7OxskpOTmT17NlOmTDFUKRFCCCGEEK1HncHgxo0bGTBgAN98841h26JFi/j4449p164dmzZtwsPDo8kbKYQQQgghmkadC0iSk5MZNmyY0baRI0cCMHPmTAkEhRBCCCFauTqDQY1Gg729vdE2Ozs7ALy8vJquVUIIIYQQolk0uDbxzbYLIYQQQojW46apZT788EO++OILw3udTgfAm2++iaWlZbXjt2zZ0ojNE0IIIcTtyiosY93xFC5kFjKooyujOnugVEqnjqhUZzDYu3fvGrfLXEEhhBCi9VgbncwHGytLzC4/lMSy6RH07+jSwq0Sd4o6g8GlS5c2VzuEEEII0UTOpRYYXuv1kJpX2oKtEXcaqU0shBBC3CC7sIwtp9PYfiaN/JLylm7ObRsS4mZ47WBlSidP+zqOFm1NvcrRCSGEEG2FuljDX9ed5reYVACeiPDjnchQrM1b76/M+zp7sHRaH1LzSwnzsifUS4JBcU2dT3ZYWFiDL3jq1KlbbowQQgjR0i5kFhoCQYBlUYlM6deOYA+7FmzV7TE1UTIoyLWlmyHuUHUGgxUVFVhaWjJgwIBq+QaFEEKIu5GNuSmmSgUVOj0AVmYmWJubtHCrhGg6dQaDw4cPZ+/evezbt48hQ4Zw//33M2TIEExNW29XuRBCCFGXEE97PpvYnb9tOIOZiZIPxofh62Td0s0SosnUGdXNnz+f/Px8Nm7cyPr163nhhRdwcHBg9OjRPPDAA/To0aO52imEEEI0m8iuXgwKdEGpUGBradbSzRGiSd20i8/e3p5JkyYxadIkkpKSWLduHRs2bOCnn37Cx8eH+++/nwkTJuDp6dkc7RVCCCGahb2VeUs3QYhm0aDUMr6+vrzwwgts2bKFFStW4O3tzf/+9z9Wr17dVO0TQggh2qTEnCL+uJDFxayilm6KuMs1ePJfZmamYdj4zJkzuLm5ERIS0hRtE0IIIdqk2NR8pi8+zJW8Ulxszflmam+6+apaulniLlWvYLCkpIStW7eyfv16Dh48iIWFBSNHjuT111+nX79+KBRS31AIIYRoLPvPZ3HlapWQrEINe+MyJRgUTabOYHDfvn2sW7eOHTt2UF5eTv/+/fnoo4+49957sbS0bK42CiGEEG2KraXJDe/vziweRy/nsCkmDQdrM+7v5oW/s01LN6lNqvPpmjlzJpaWlgwZMoSxY8fi5OQEwJkzZ2o9Jzw8vHFbKIQQQrQxw0PdeTIin02n0hgS7Mqozh4t3aRGdzm7iOlLjqAuriz3dz69kP8+1h2lUkYbm9tNv2qUlpayefNmtmzZUudxer0ehUJBbGxsozVOCCGEaItUVubMGBTArMEBeDlYYWrSoPWerUJ2ocYQCAIcS8yltFyLtcXd2Qt6J6vzJ/7Pf/6zudohhBBCCKBYU8GXuy8wf1c8LjbmfPlEOL3bO7d0sxqdv7M1Azo683t8NlBZA1oCwZZR5099/PjxzdUOIYQQQgDRiWrm7YwHILNQw0ebz/Hz7H533fCps60FHz/SjSOXc7GxMKFfwN0X8LYWEoILIYQQdxDd1ZrIVcp1OvS1HNvaeaqsGKeyaulmtHl33yQEIYQQohXr7qfiqf7+ANhZmPLmqBBM7rJeQXFnkZ5BIYQQ4g5iZ2nGm/eF8ESEP9YWJnirrFu6SeIuJ8GgEEIIcYexMjcl0N2u1v3n0ws4fSUfNzsLIgKcpedQ3BYJBoUQQohWJD6jkMnfHiItrxSFAuZN6kFkV6+WbpZoxRptzqBWq2X37t2NdTkhhBCiQdRFGvJLym9+YCsXm5pP2tVSdXo9bD+T0cItEq3dbfcMxsTEsG7dOn777TfUanWd1UmEEEK0XkVlFVzOKcbWwhT7q+XRVNbmLdwqKCvXsvpYMv/Zdh5LcyVv3hfCmDDPuy4VSxV3ewuUCqhadBzsUftwcksq1+o4dDGHnCIN3Xwd8HOSUnN3qlsKBq9cucL69etZt24dly5dQq/XY29vj15/ty5+F0KI1i27sAyFApxsLG7p/JjkPP5v/SlKynV083Vge2wG6OHZIR0YH+5NSm4JWYVlBLrZ4e3YvKlCoi7m8PbaU4b3Ly2Pxu95a7r6qJq1HdfT6fSNGowWlZWTV1KBo40Zvds58dWTPdl9LoMAV1se6O5d4/EHLuRQrKmgVzsnvFogfcv64ym8tvIkAJ087Vk4pSfejrIY5k5U72CwsLCQTZs2sX79eo4ePYpOp6Njx468+OKLjB07ls2bN/Of//ynKdsqhBCigdLySvjpcBLf/X4JhQKmD2jPY719cbO3rPc1CkrLeXvtSWJS8nm8jx8/Hko07Hv/1zMUllXw2Y44tDqwtzLlf0/0ZEBHl6b4ODVKyik2eq/TQ2J2cYsEg2fT8pm3M57E7GJmDw5gTBdPFIrbCwovZxXx7vpT7I/PZmQnd/46NpSRnT0YWUu9Yr1ezzf7L/HptjgA+gY4Mf/xcJxtb+2LwK1adTTF8PpMaj7xGUUSDN6h6gwGtVote/fuZd26dezatYuysjK8vb2ZMWMGkZGRBAcHN1c7hRBCNJBOp+d/ey6w5I/Lhm2fbIsjv7Sct8eEGoKUS1lFHL6cQ4VWT3dfFaGe9kbXuZBZRExKPu2crTmbll/tPjti02nnbMOFzCLySyp4d91p1jzXDwcr4yHkxu4tq9LR3RaFonL+HIC5iZKO7raNfp+b0en0fLTpLLvOZQLw0k/H8Xa0oruv421dd/PpNPbEZQGw6VQa/QKcmdK/Xa3HF5SWs/TgtT/zgwk5XM4pbvZgsJuvAwcSKkvNWZgqcbFr+SkFomZ1BoMDBw5ErVbj7OzMhAkTGDt2LN27d2+mpgkhROtUoqlgf3w2u85mkFFQSr8OzgwOcqOjW/MGKAlZhfxwMLHa9sV/XOLxCD/au9gSk6zm6cWHySrUAJW/tBdN7cWgQFfD8TbmJpgqFRRptPg7m1W7nr2VGWn5pYb3FzILiUnOo18HF0yUCk6l5PHToUSOXM7lgW5ePBTujbtD4w1b9vZ34n9PhLNo/0WszUyYMSiAEA/7m5/YyDRaLRcyiwzvtTo9ecUVt33d0nKt8fsKbS1HVrIyN6WHr4qtZ9IBcLAyxdmm+QOxqf3aobI254q6hBGd3Ons5dDsbRD1U2cwmJubi7m5OePGjeOBBx4gJCSkudolhBCtUlmFlq/3JPDfHecN27bHZrDAPoFvpvYmzLv5fiGWlevQ6qrP5S7X6ikr1wHw89FkQyAY4mFHN18Vm2JSySooo38HF9wdLOnoZsuMQQF8tecCfp2tMVEqDNc1USpo72LDvvNZhuu3d7Hh853xpOaVMiTYled/PMrl7BIAzqadI6+0grdGN97vE6VSwX1hnozo5IHi6vuWYGlmyjODAwzzF/u0dyTE8/a/AAwPdeOnw0mk5pXS3sWGwUFudR5vZqLkrdEhhHjak1dSzriunvg7N//iDU+VFc8M7tDs9xUNV2cw+Pnnn7N+/Xp++OEHFi9eTPv27Rk7dixjxoyhXbt2zdREIYRoPWKS84wCwSrp+WX8GHWZD8Z3qdccssKyChIyC1EqFAS62WJhZtLgtrR3taGXvyNHLucabR/QwZl2LjbodHqirg7jBbjY4O9szYrDSQD8eCiJiPZOfDaxBx4OljwzOIBAN1uOXMphzphQMgrKMDdV0CfAmXOp+ZgqFVTo9DjZmDM02JVvf7/E6ZQ8Pnm0myEQrLLkj0tMH9gOV7v6z1usjzsh8fKEXr4EuNiSX1pOF28H3O3r1wManZjLpphULM1MGNvNi6DrEk6HeatYObsfafmleKms6rUYJMDVlldHBN3y57gVWp2efeczuZxdTIiHHREBzs16f3Hr6gwGR44cyciRI8nLy2Pjxo2sX7+ezz//nC+++IJOnToxbtw4Ro8ejbu7e3O1Vwgh7mgnk/Nq3ffzkWSeH9bxpuXFjlzK4YONsUQnqQEYHOTKn0cFN7hX0drclL+O68SrK44bhi8D3Wz5y+gQLK8Gl/eGuhOXXkjPdo6sPJJsdH7UxRz2x2fySE9fVNbmPNzTh4d7+lS7T/8AZzwcrNh2Jp3CsgqWHKicr1ak0dYYoHmpLA33v1GpRktsWj55JeWYmSiwtzIn1MMOU5NGS4vbpMxMlPTt0LAgqBBLnllymOyiyhyJu89l8v30PkZpe3ycrPFxuv3FF+fTC1h34grFZRWM6+ZFD7/bm894vZ1n05n5/VEAzEwULJvRlz7tnRrt+qLp1Gs1sYODA48//jiPP/44SUlJ/PLLL2zYsIEPP/yQf/3rX4SHh2Nh0bwTU4UQ4k6kqyPFlp5rixxqcymriOlLDpNXcm2u2Z64TJJzilnxTD9calkEoNXp+T0+i13nMigqq2BgRxeGBLvRzUfFqmf6czo1DwXQycsBx+uCjPE9vNkTl0l5Rc0Nu6IurXH79RQKBUHutryy4jhlFTrD9gAXa3r4OjJjYHsW7b8IVPbevXFfCHaWZpRrdVzMKsLMREF7F1sKSsr5aPNZfoiqnOfYzaeyrUEedoR52TE0xB07y+pzFlu73FKdIRAEOJmSh7q4vNFzOBZrKnh3/WkOXKjsDV5/4gq/PD8An0Za4RubWmB4Xa7Vcy4tX4LBVqLBeQZ9fX158cUXefHFFzl27Bjr1q1j8+bN5OXl3fbyeSGEaO3q6r0b390br5ssnDh8KccoEKxyIauI6MRcRnSqOZ3IplOpvPBjtOH9z0eSmXVPAG/eF4KjjTkDO7rWeF6gux1Lp0Xwx4UsfjmeUm2/v3PdgUJusYYSjZYAF1vmPxHOX3+JITWvjE5edsx9IAwXOwteGRHIPUGupOeXEuJhR5i3A1fUJXyy9RxrolMwUyp5cVhHQjztDIEgwInkPCb08uHb/RcZ29WLIo2OSX386mzPnS63SENBaTmudhZYmVf+Cna2VNDO2ZpL2ZUpcgYHudYa9DdUQUk5yw8nsvFkKo/18uXYdVMGsgo15BRpGi0YDHC5Ni9RoaicOypah9uqQBIeHk54eDhz5sxh9+7drF+/vrHaJYQQrVIPXxUzB7Vn4b6LRttV1mZM7ud/08UNeXWUU8srrnlfbrGGf28+V237on0J3N/N66bDy0625ozs7MGf7g3kv9uvzXcc1dmdAR1qzhdYVqFl/fEr/HvLOXKKNEzo5cPsezqw4cVBZBWW4a2yMvTi2ViYcU+QcTC6KSaV1ccqg0+NVscn2+KYExla7T5anZ4KnR6lElYfTa4xGLycXcSlrGL8nK1o71K5YCM2NZ+dZzMoq9ByT6Arvdo1Tg9VQmYhuUUa/FxscG1gwBaTrOZPV4fsx/fw5u3IUFxtLbCmjK8n92T3uUzMTZXcG+qOreVtFwgDYOe5DP7x21mgMvi7v7uXYTpA/w7O+DRigvARndyZ/3gPErKK6OxpT/9anh2A/ecziUnJx8/JmntD3W5pTqxoPI3ytJmZmTFixAhGjBjRGJcTQohWy8LMhJeGB9LVR8XGmFRS1SXcG+rO8E7udPK8ebqTDq6196Z0cK15Zaq6WMPlGxIvQ2Xy5SvqknrNNTQ3VfLs4A70C3DmQmYhHvaWhPs71jpUuf98Fn9eddLwfvmhJCq0ej58uGu9erUO37CoBcDB0hRbC1MKyyp7RpUKsDIzoae/I+fSCujpX31+2+/xWcz6/ghFGi1WZiZ8PbkngW62zFhymJSrQ9xf70lg9bP9b3sl9+/xWcz8/gjFGi09/R3572Pd8W3APL5F+y8a5m6ujU5hQEcXHrk6BzPYw57gJkiHk11YZnidoi4h0M2WeY/3oKxcR78OTrdckaYmFmYmRHb1uulxUQnZTP3usGFF+ucTu3N/DVVURPNpnK8eQgghDOwszRjXzYtx3W7+i/FGPf2dGNfNiw0nrhhtnzkogM61BDMuthaEetoZzdkCMFUq+ONCNheziniwuzfuDnWv3rUwMyEiwLleq0CP1RDMrT6WzAvDOt40jUlusYZgd1s2nzLerkXPN0/1YnNMGnkl5XTysicltxg7C1OKNRVM7G3cK1hWruW/2+Io0lTm3Ssp1/Lx1rO8eV+IIRAEKKvQcTJZfdvB4Pxd8RRfvdfRy7nsj89q0LB1/g29vprr5lc2lXB/J+wsTCkoq8DcREmIh321XtrmdjGryCjl0fmMwhZsjQAJBoUQwqBCqyO3uHIVa2NP3q8veysz3hvbicGBrmyPTcfcVElEgBMFJeVMW3yI3u2cGNnZw6hKiJ2lGW+MCmHW0iOUa6/9kh0f7s264ynkFpdzOaeYvz8Q1mjpV2oaxrS1MMXqJsN9V9TFvL7yJOamSvoFOHMgIRsTpYLILp58/0ciAwNd+MuYUMxNK1cPp6pLyCwsw9/JGocb/kzKtXrMTBVGgXCqugw7SzOjiiRAo8zBM79hRbNpA3+W0we252BCDiXlWjp72dOvgauOAVLzSlh7LIWyCi2FZVri0vKJ7ObF+O7eNQ61dvdV8fMz/biQWYiPozVhXvbkFGmwszTFrIVWaAe622FhqjQsNurk1fwJwoUxCQaFEG1ehVbHvvNZrDqazJ64TKzMTHi8rx+jO3sQUo+h3aprZBeWYW5mYrRat0phaQUnktXkFJbham9JNx8HwwKCG7nYWfBILx8e6eXDicRcJi6MouRqFYr98dksPXiZH2ZEGFXZGBrixs+z+3EwobInUKFQcDAhm9yr8wx/OpTIlL7+9f48NzOwoyvzzOMNvXIAr4wIumnN4z1xWfxxdTXrqM7uzBjYnuwiDfvPZ5FZWMaZ1Hwiu3jSzVcFVCYu9rwur55erzf0LCXlllCuBaVCwdMD2vHryVRm3xNAJ0973r+/Mx/8Fku5Vs+Mge3p2wg5714Y1pFTV/LIKtQwPNTNqEpLfaiszfnb/Z1xtjWjs5cKj5v01Nbk+wOXWbg3gfE9vFl5tHLu3774bFxtLRgeWnOat1BPe0I97cnIL+WdX06x5XQa94a68frIYDwasRJMffX0d+SH6RGcSc3H19GaQUHNV8f6ehVaHfml5dhZmrVYYHynaJXBoFqtZv78+Wzfvp3MzExUKhWDBg3ipZdewtPTs85zz549y6pVqzh27BhpaWkUFBTg7u5Ot27deO655+jQQbKlC9GW6PV6Vh1N5q01MYZthWUVfLb9PD8evMy3T/Wmi4+qzvP3x2fx06FEtsdmYGthytT+7Rjb1ZOAq3P8zlzJ5+21JzmedC0H4cCOzrw3rjOB1yUXrunaPx5ONASCVbIKNWw7k463yoodsRn8Ep2CTq/nge5eRHbx5L7P9hmGM6vo9FCkuf3SaFW6+Djw48y+7D6XQU5xOX3aOTI0pO7KGMcTc4lNvVbbuFijZd2JK2QWlBkdV1hay0KZojK2nE5n3fEUfBytWRudQsXV4cbTV/L59yNdua+zB6YmSib3a8fgYDcqtDraOds0SlWSXu2c2PDiQPJKyvFysMLequY0NxVaHTEpeZRVaAnxsEdlbc7BC1k8tfgwpeU6rM1NWDKtzy0Fg0cu5WBraUpmofHP7FhiLuYmCkI8HHCyNa+xB3hHbLohqfiqoyl093Xkyb7+DW5DY+jd3oneLZh2JrOgjE+3neO3mDSGh7jx51HBRl862ppWFwwWFBQwadIkEhISDNsyMzNZs2YN+/btY8WKFXh71z4Rde/evSxdutRoW1JSEklJSWzbto0ffviBrl27Nln7hRB3lrj0Av667lSN+zILNSzce5FPH+tWa9LjHbHpzFp6lKopUGUVGj7dFsemU2l89WQ4tpamvLwimvPpxvOi9sdn8+760yya0gsbi5r/KS4t13LgQk6t7V568DL/um4V8d7zWbw0PJDJff35em+C0fGBbrZ0rGUByq3q5qsy9OBdL6+knAMXsknOLaaDmy192zuRrC5hyneHGBN27Qv74Us5jO3qxaqj15Jdd3SzJaSGYcMTSWr++sspTqbkEeBiQ09/J0MgWKWwrAK76wI0v0ZI0nwjTwcrPOvoTdPp9CyLusx7688A8GB3L/7v/s7sv5BF6dUSgMUaLX/EZ9H76grnXJ0l//jtDHnFFYwP966zF/OBbl7MWXea9i427InLRK8HByszrM1M+GTbeS5kFDK5nz/PDulQLSdjSbnxHMWSRvxy0NrsOpfB8kOVgfGa6BTC/Rx5sl/LBMZ3glbXLzp//nxDIDhjxgyioqKYM2cOUBkUfvTRRze9xuDBg1m0aBHR0dHs2LGDvn37AlBWVsaXX37ZdI0XQjSqnKIyNp9K5fWVx3n4yz94Y9UJtp5OI6eo7OYnX3X0cq7RPLsbbYi5QlwtE9zVxRr+ueksNZT/JTY1n71xmRy9nFstEKxy4EI2J65WGYHK4E9dpEF/dbKbpZkJPWupENGvvTOf11D27qvdF7g31I2+Add6XXwcrfjnw12qzblrCuVaHf/dHsczPxxl7sZYnv7uMMuiEjmZpCa/pILoRDUTevlgaaakXKvH19GKd8d2on8HZ2bfE8C8ST1wvmGFa1m5ln9vOcvJlMqe1YSsomq9pQB+jZQv73ZcySvh/V9jDe9/OX6FE0l5OFobf6aqOamFZRV8ujeFBXsvsuJIEtMWHyYuzXgh0PUe6enLgsk9CfWw46snwnluSAAjO7sTl1HI8SQ1BWUVfLn7Ageulhm83qBAF4LcK78QdHC14Z6b1Di+W2gqtBSXGQe+ZTcExqUV1Z+ntqRV9Qzq9XrWrl0LgJWVFS+//DLm5uZMnjyZJUuWkJSUxI4dO8jLy8PBoeZVY48//jizZs0yvLe2tub111/nkUceAeDSpUtN/jmEELcvMbuIOb+cYu/5LMO2o4m5/HwkmWEhbvz9gc6YmSiJzyxEpwd/J+sa04DUldcPKhchpKlLsDRV4qmyxMrMFL1ez5W8EhKzi41WRd5obXQK43vUnTLjQmYhfk7WHEjIZsmBS1xRlzKikxuP9vKlp78Tj/b24deYK0YB6+AgF+ysTBkd5snv8VlkXDfMqtHq0KNg0dTenLmSh6ZCR6inPc6NlMT4Zs6lFbD4j0tG2z7ZGsenj1aOuJxLLyDlarodR2szpg7wR2VlwdMD2hGXXkBqXik2FqZGf1a5xRoOJhj3kG44cYWXhwey+I9LlGt1/Gl4IH07tnwtXFOlEjMThdFzYWGmwNPekif7+mGiUGBvZcZ9nT0oK9ey+VQqPo62hHiq+D0+i4tZRWQUlBLkUfP0AUtzE0Z2vpZ4vFij5bvfTzE42Hj+oqa8+krlQHc7lk6PIDWvFA97y1sapm5tjifl8n/rz5BVWMZb94Uw9uoK/0GBLnT3VXE8SU2oh121n19b06qCweTkZNRqNQB+fn6Ym1/7ltuxY0eSkpKoqKjgzJkz9OvXr8Zr2NpWHyYpK7v2D+nN5hwKIVpeuVbH5zvjjQLB62UUlPLDwURWHUsis0ADgJ2FKbMHB/BoL1+jRQ6udnUHSWYmCjacvMLa6Cv0C3BiSr92/B6fxYojSZRr9US0d+KeIFfWHkuh4Ibeh3KtHkebunvjzqTmczI5z7AYAGDF4WQ2nEhl2YwI+nVwYem0CFYfS+ZEch6T+vjyw8HLvLj8OCZKBcND3Cgt1xp+Fo7WZvg6WmFrYUqf9s0fHJVVaKuV3Cut0OLuYIm3ypIUdSmFZRX8ejKVDx/qgsqq8ue/7vgVXl95ggqdHnsrUxZN6W0oZeZkY8G9ndzZfCrNcE0vlRV921fOedPpdLg7WJGUW8zyqEQuZhUR0d6Jezu5Y13LIp2m4uFgyaePdudPPx1Ho9Xx0rCOFJVpeX75McPP5b1xnXB3sOTXE1d4feW1XI1V8/faNaByx5gunlhbmJJfouHwpRyyCzUMD3GrtQycu70l7jdZ5NOSDl3MYePJKzjamPNgd+8G/SxuVK7V8fcNZzh+tff9TyuOV05D8LSnnYsN307tTVp+Ka525rja3bk/k+bQqoLBrKxr//Db2Rl/a7r+fU5OzXNsalJRUcHnn39ueD9x4sTbaKEQojmcuZLH6mPJNe7zc7LGx9Ga/+25YLS9oKyCj7fGUVBSTs92TpxNy0ej1eHtYMWD3bxYf/JKjcO9w0Lc2HUuEwAfR2v+sjYG9XWVQKIu5nDkci5T+/nz7e+XjM69v5sXPf0ccbE1J6tQU+3a7ZytcbezZP7u+Gr7ijVa1kan0MPPkb4dnOnbwZkLGQU8MP8PQ1JmrU7P1jPp3N/NCzsLU4o0Fbz/QFiLToQPdrcnop0TUZeu/Tv8SLgPXb1VfPdUH3adyyC7qIwefo4MvTpMmaou4d11pwxzAPNLKliw9wLhfipMTZSYmyp59d4gTBQKtsemM7CjC6+MCDLKG6ip0PLhb2fZGJMKwLKoRD6Z0I2HryZ1bk5junjSxcsBjVaLj5M1S/64ZBQg74nL5OkB7YnPNJ4+YKKABZN7Nqg8nIWZCaOu9hT27+BKTrEGX0ereqVGKigtZ93xKxy7nEvfDs6M6+pptMI9p6iMdcevcCGzkEGBrowIdW+UhTi1uZhVyIwlh8kvrXy+L2QW8vnEHrdc6lar05FVdO3vXYVOb1Q728nWHCfblkkhdadpVcFgXfQ3q/5eA41Gw6uvvkpUVBQAkydPZtSoUfU6V61Ws2DBggbfsyFKS0vZt29fk95DiDtNfZ77Qvdu1XqfqvQNcObnI0k17rs31I1Dl3L5+oZScc425jw9oD3f/X7RKCDs6GaLmYkSdXG5IdhS11ASTqvT83t8tmHYCcDDzhy7wkR+XbmDP/fvwYf7s8ktvtZz6GFvycCOLlzOKa51zuKucxms+mU9ORmVPWIaz26GQPB6W8+k8ddRHVAWZ5MdvY0FUfWfM9kUxvsG0snFldOZGsI9LfBXpvHtN5X/zioAV4WCpGQ93/9RebzKP8QQAFSJzyjkl/UbyMlMN2zrZ2PLvQPdKVYn8MfGaP647niVfwgbY4zn2q06fBlN3D4KCmqfg9ccTPzCjd4P9Ldl7a9bUFkaz9nzsihj17rl7LrN+x248f4mJjgGhnOp0AS05XhWpFGQmUKFTzj/2lv5810TnUJeZhr6pGv1rQs8e/HF79eC678Pcab48kmaipVPJ6PnIDpRzZp1v5Kdkdqg6zh4BZCoVaHV63lxoA9/+fU85Vo9j/dwJeb3rUTlqxu55a3DoEGDat3XqoJBF5druYjy8/ON9hUWXvuG5eR08+XqhYWFPP/88xw8eBConEv4zjvv1LstKpXKaO5hU4iNjSU0tHqtTiHuZvV57pceuATUPESsqyVK9HKwRKuD6OsWbFTJLtKw5lgyH4wPY/XRFGwtTPFwsCQtr5RfT1b+Iurd3onf46tPyq9yLr2A8T28OZWSx8Tevjwe4UcnLwdgCACDwks4fCmHpJxiLmcXk1Os4YeoRCbU0XPV0dWW8fcPNaQJWXEoscbPXa7Vc0+oD77OQUDNU2RupKnQcfpKHim5Jfg5W9PJ077WFdNNTVOhZX/OCdafuPZLf2r/djwyoH29r5GeX4oqaq9RsB7irWLSuAGN2taGiM8oZPe5DGzMTfnXw+4cvZxLr3Yqlh5IJDXfhBeGqVgw2ZPoS1l08nFiRKg7luY9a7xWhVZ3y38+v8dn8s3+S6iLS+jhpyLVpiOvjo9k/q7zwLVg28TOhWnX/V6b80tluqUu3g54qaxw9vTiyVF9b6kN9ZFVWMbG5GOG+aFPRvjz8JCGpXsr1lTwwrJj7DxX+bm6epey7rkBaPV6OrrZYmXep9Hb3VrExsbWuq9VBYM+Pj6oVCrUajWJiYloNBrDvMH4+MphFlNTUzp16lTndXJycpg5cyanTlWmk3jhhRd48cUXm7bxQohGU9swmqWZssaeM4ABHV1YVcvQMkBucTlKhYJVz/YnI7+U/h/uNEpdolTcfATige5evHJvIL5O1tWGtrxUVjzQ3ZuEzEJGf7bPMFx1MjmPXv6OHKmhvNujvXyN8sWFeTtgolRUW7TyUA9vvB3rPzRcVq7lf3su8N/tlauRFQp4Z0woT/Vv1yIBobmpCW+MCqGrj4q49AJ6t3MyDH3Wl7u9JR+O78KrK09QrNHS0dXWUPf3RrlFGhJzivF0sLxpkuxblZFfyos/HiP26srgQYEufPZYd55efNiwKvq9dWf4aVZf7g8wITS05tKFFVoda6JT+HZ/AoFu9rx8byAd3W6eIig2NZ/L2UUEuNqyYO9F9sRVTnU4fSWPaQPaARDu52ioBGJtbkL3G9IEDQp0Jb+kgotZReyNy8RLZcnAQBej9D2NycXWgk8f7c6RyznYWpjS7xYSheeVlLPnurnEJ1PyMTNV0qmOfJ6ilaWWUSgUjB8/HqgcSvrss8/Iy8tj6dKlJCVVDgsNHz4cBwcHoqKiCA4OJjg4mLfeestwjdTUVJ544glOnTqFUqnkb3/7mwSCQrQy4X4qAmv4hVharsO2lpx9FTp9rUPLVWKu/pJ2trVgbFfjxWRHLufSr0PtlRKC3G0J93PEz9mmzjlOAa62zBh0rcfrXHoB7vaWRr/4bC1M+fsDYQy7IYlzJy97Pp3QDUuza/90d/NxYOaggAbN5YpOUhsCQahcMf3Bb7GcupJXx1lNy8fJmhmDAvjXI92Y0Mu3WkLnxOwiknKK67zGfV082fzyPax+th8rn+lHZ6/qWSViUvKY8NUBHpj/O+Pm7efQxdp7e29HirrEEAgC7DufRXaRhtS8UqPjCkrrzvV3+FIOb6w6ydm0QjacvMKXu6qnE7pRdGIuE746wDM/HONv609xMavIsK+sQofX1Tml/Tq48J/HuvFYL18eCvcm+4aUTCNC3XGyMScmJY+Sci3f/X6J3y/U3CPfWLxUVtzfzZthIe61Vuipi6OVOZFdrn2R6N/BGbebLBITraxnEOD5559nz549JCQksGjRIhYtWmTY5+rqyptvvlnn+atWrTLkKdTpdLz33nu89957RsecO3euplOFEHcIB2tz5j4YxtOLD1ertFFb7d36zEGvKkllolQwsbcfG2NSDfP51MXlOFqbYWNuYlSCrerar40IrrUixY2m9m+HTgff7L+IRqtjx9l03rwvmFfuDUSj1eHnbFNjwmSFQsEDPbzp4uNAXHoBNhamdPV2aHD+wEvXBQdV9HpIyi6mu2/NeQ1bSkFJOYv2X+R/uy+gUMCrI4KY0s+/1kDBz9kaP+faF2D8fDjJsHAjPb+MT7fG8e8JXfF1uvVVqzVxtbPA3d6C9PzKACvUww5nWwteHh7IO79Ujkr1ae9ImLc96iu1L3q8cY5qfEYROp2+zuD/0MUcQw95dFIezw7uwCfb4gAYEuTCiE6VZetS1SW8vvKk4e/QyiPJbH91sCGtj1KpQKM1ftZvzM93p7E0N+GdyFAGdHRBq9MzKNC1WfJrtnatLhi0s7Nj+fLlzJs3jx07djS4HJ0Q4u4QEeDMshkRrDmWwk+HEynX6jE3UeJmZ87T/dvx3Q257nQ6DENitQm/LsFz3w7OfPtUb/6zLY5jiWoA9p/P5O8PhLH9bDqbTqWh10NPPxXPDOnAsJCa68LWxM3OkjdHh/BILx+yCzW42pnT3qX+1UECXG0Npe5uRW1DyjWtQr6QWcjmU6mcTM4jor0z94W546VqvuTOBxKy+ey65Nr/3HSWUE977gm6tbxwl7ONA+Gk3BK+P3CZV0cE1RpgJucWs+H4FTIKyxgW7MagIFdyizTklZTjameOjUX1LwE+jtYsnNyLjTGpmJkoGNvVCycbcx7r7Uugmy0FZRV09nLAw8ES9RXjc8sqtMSmFqDX6wnxsCPU047Y1AIUCnh6YPub9gK7XJdTslijxdbChGXT+6DR6uni7YDL1Z4yjVZnlLy7rEJHudb478fDPXzYdCqN3KJy7gl0IeKGoduTyWoSc4rp6GprVPe6XKsjr7gcO0tTLMxM6mxvY3O3t+Kx3n7Nes/WTqG/lWW4olkWd8gCEtEWNfS51+v1XMouoqhMi62lKe2cbSgoKeeX4yl8sTPekJDZW2XJyM4efHdD+pcqnTzt+e7p3tVysBWVVXA+o/BqjVtrXOwsKdfqSMwuokJXWd2jtnJyd6qisnL+uekcPxy8bNj27JAO/Gl4oNEv7pwiDU9/d4gTydeGjyO7ePDpo92b7Rf8t/sTjCp6APxzfBcmRdT/l71OpydFXYKdpSn747N44cdrK2Yn9fFl9dEUVj/br8Ya1Dqdnj+vOsHqYykAmJso+erJ8KuVZ/SMCfNgUoS/Yei1vuLSCtgfn4m1hSkhduV0D6lcKFGu1bFobwIfbakcoXpxWEce6uHN+YxCVNZm9PR3qrX3u0p+STmL/7jIzrOZdHC1IS69kJGd3HlxeKDRcVqdniV/XOL9XytL5/1ldAjTB7avNm80KaeI3OJyfBytcLquOszBhGymfnuIsgod9pamLJsRQRcfFdmFZfxnWxxro1MY0NGFOZGh+Dk3bs+raLi6/m1tXf+CCSHEDRQKRbVeNTsrMyb3a8d9YR5cyCxEpwN/Z2uszE2wNjPh670JRotDBnZ05t1xnWtMxmtjYVptYr2ZiZIObq13QrqFqQlv3hfMyE7uJOeW4O9sTbifqlqAF5OsNgoEATbGpDF7cAFdawicmsL1vU1QuZAnpJbqHDXJyC9l3q54lkUl4qOyYu6DYfzjwc4cvqzG3FTJkUu5mCgVOFiZo9Xp2X0ug6iL2Xg6WDGyswcOlqZGq8g1Wh1HLucQ6G5LdqGGZYeSSC8o4437Qox65OpyRV3MM8uOkpBZ2Uv5SA9POgfqMDNRcjGryBAIAnyxM56RndyNqo7cjL2VGaEe9qyNvsJvMWmG3r8XhnU0ms9qolQwpZ8/fdo5ogNCPGpeUe7rZINvDUk6jlzKMfS055dWcPRyLl18VOyJy+SHqEQAtp5Jp1c7R2bd07BVwaJ5STAohLhrudpZVqss8PqoYMZ19+JUSh4VWj3tXGzo5uNwS5PVW5sr6hLWH7/Cmuhk/J2tebyPPxN7+zY8kXAzjif1aefE/MfDWbAvAXMTBbPvCaC7n6rOc8rKtVzOKcbByoydZzP4/kBlD+jlnGJeX3mCTyZ05WiimhWHk7C1MOWjh7vg52zN3rhMpi85YrjO+fRC/v5AZ8Z08TAkFLe1MMXa3BStrjLhOMDPR5Lp4etY797KpJwSQyAIsOVMJm+VlONia4GJUoFSgSHfpUJBvVd4H7mcw4K9CSiBiX38yMgvNQSC94a61biwydRESdgtBvZuN/zdKtfq0On0aG6YinHje3Hnufv/9RNCiOsoFApCPOwJ8bC/+cF3EU2Flo82n2Xd8coJanHpheyIzWDx031qnX/XxVtFZy97Tl+5ltd1VGePWuvmNgVTEyWRXT0Z2ckdFNcW+dQmObeYDzbGsulUGo7WZjzay9dof3pBGb+cuMKMge2ZOSgAW0tTrM1N+OHgZS7cUBFk5dEkXhoeyPNDOxLoboe6WEPfAGc05Tp2ns00OjanqHqFmdp4OljiamtO5tWqNP0CHLG7OtUgwMWGjx7uyltrYtDp9fz9/s4E1SMtSlpeCc8sPWqodHMyOY8l0/oQlZCDs605IzvXf05rfQV72PFkhB9p+aV4qaz45fgVHunpy4COLkS0dyLqYg4BrjYMD6373poKHbnFGuwtTdvEl7I7kfzUhRB3NK1Oz5nUfGKS1ZSWa3G2taCXvyPeDSjZJeBsWoEhEKyi08PGmNRag0EnW3M+m9iD32KucCxRTf8OLowJ88CymRcEAJiZ1q93bEds5eIeqMwdqblhQUTfACeOJ+WRkFVEZNfK3H7zdp7n461x1QLH3u2cUFmbYWlmwqQ+xr1+D4d7czwpl9FhnliZKQm/SW/l9fycbVg0tTe7zmZgbWFKuAuGIXqFQsEjPX3o094JvR6cbMz5Iz4LPdDDV1Vrjr+C0gqjkodX8kpxsbXg+WEd692uhnK1s2Dr6TRKK3Tkl1YwJMgVa3MTHG3M+WpyOKl5Zbja1l33N6eojE+3xbHySDL9Apx47/4w2t9GPWJxayQYFELcsVJyi5m/+wI/HUo0KhNnb2nKX8aE8FAPn2ZfqdhaldyQDqdKdmHdpes6utny0vCgpmhSk8i+oQb0hhNX+PTRbuw+l4mFqZKcYg2HL+Uape7ZcTYDqEzI/FhvX36Pz6KrjwPPDelYa+D7aG9fHG3MeWdtDLnF5cSlF/DZxB60r8cq7/iMQn6Pz8JEqWBQoAuoKxenXM4uIjY1H2cbC3r6O1Ku1fHvLedYtL+yfOKUfv68NToE6xp6z7wdrXi0lw8/H0k2HOvpUP+E2lUrpnOKNYzo5IGdpSl/XMjC1sKMe0PdcK5hPqSXyoqvp/Ri3fEr2JibMD782t9HR2sLHK1vPody3/ksfjhYOb9wd1wWEadSeXZI0wWwomYSDAoh7kg5RWXM+eU0u85lVNuXX1rBX9acQqvV82S/ds3fuFYoyMOODq42XMg0Tq1SV6WPnKIytLrKHqBbVXy1nrOLrTnmpk0fuIf7O6JQYEgw3i/AmbFdPXGyMWf+rnjKynXMiQylqKwCvV6PQqFgQAcXohPVnL6ST3xGIf97oieDg13rXLVrZqJk19kMcq/mATyZks+Osxloz6STnl/KPUGuDAl2q3ZebpGGV1ccN1QhWX0smf+M8+diVhEzlhzmQmYRCgV8PrEHIR52hkAQ4PsDl3m8j1+1RTUA1uamvD0mlOGh7qSpSwj1tG/QF6X5u+JZfqiyeENaXinHEtWkqEsAmDmoPe9E1lzZq4efIz38bj035Y2pbG7syRXNQ4JBIcQd6UBCdo2B4PX+seksgwJd8ZdhpZtytDbnkwnd+Ou6U8Sk5GNuouSZwQGGBMTXKygtZ9XRZD7fcZ5yrZ6Z97TniQj/eq+WrXIwIZt/bT5LdJKae0PcefneQMK8q1cFaUz3BLqy5Ok+HL2ci4O1GU7W5ny+I54u3vYMDnJlY0wqf9twBqUCvp/Wh4GBrkzp54+NhSmxqfkM7OhCvw43T98CYGZifExmQRlf760savD9gcv8PLsf4f7GgVJWYZkhEAS4lF1MbhkkJqsNgbpeDz8cvMynj3UzSnJuZWZSY69glfT8Mt5dd4r0/DJMlQoWTunF0Buq2Oj1erbHZhCVkI2fkzVju3liZ2HGoYvXyiGaKJWGQBBg8+m0OvMw3o5BgS6M7OTO1jPptHexqfF5FE1PgkEhRJMqLdcSk5xHekEpJgoFHVxtCXS3NVrZqNPpuZxTRGFpBSVYodXqWH/D/LaaFGu0HL6cK8FgPXX3c2T5zH5czCrExsK01sTV286k87cNZwzv/7PtPDbmpswYFFDveyXnFjNr6RHySyorYWyLTSezsIwfpkdga9l0v3qUSgX3BLkyKNCFD36L5f2rn+P+bl78FpNqSCmk01eWGBwY6IqbvSXPDml46pNJffzYH59NYk4x/Ts4Gy0iqdDpSc4txspcyf7z2dhYmHBvqDsuthZ083EwpOxp52yNowWYKo3nAga42uCtsuarJ3vyfxtOo9PreW9c5zqrqxxPUhsqnlTo9Ow7n1ktGIy6mMPspUcM0y7KdTqmDWjPU/39OZaoxsrMBE97CzwcLEm7WjpvROitlYari16vZ/OpNNZEp9DexYaVz/SjnbN1nfMLRdORYFAI0ST0ej174zL5am8CBy5cy9NmZqLgsV6+PNnPnxAPew5cyOKX4ymsOpqCVqfHRKng5eEaTqXk13H1azIL6p7zJozZWprWmFz5eltOp1XbtizqMk/29cPSrH6/Ns6lFRgCwSrHk9Rcyi5q8t5BgGR1CYuvSzCeUVC54jXxuvrGDe3pvFEXHxWrn+1HbrGG7/+4TP51dYatzU1wt7Ng5vdHSc6t7GU7kZzH3x8I45NHu7PtTBoVWj33dnIHdQqdAvz5+wNhLDlwiU6e9ob61YOCXPntpUHo0d/0Z+9mZ1x2raZKM1fUJUbzb0+l5HPoYg7/t+EM2qs73hvXiW+m9mL/+SzsrcwYcZPVwLfiyOVcnv/x2LWgVKvjvXGdG/0+on4kGBRC3LL0/FIuZxej1elwsbWgo9u1Hr/fTqXy0vLjhl8wVcq1en6ISmTn2QzmjO3Ei8ujjY7R6vRsO5OBlXn95juZ1zMHm6i/G/PHAXg6WGGirP/P2smmej1YG3MTHOpZv/l2WZtVrmqt+rIQdTGHP48MZvmhRJLVJTzY3atar9mtqMplqbI2w8bclCl9/ckvreDeUDe2xmbQw1fFPYGu/HgokY0nU3l9ZDAd3Wzp6HZtkUSsOgULUxMm96vM+3jjyun6zv3r39GFfz3SlU0xqXT3UzHu6mrp64V42GFnYUrB1drFg4NcScopNvo7eD69gKcHtKezV9MF7VkFZUZBacwNyc1F85JgUAjRYAmZhWw5nc6i/QmG1ZumSgUP9/Thwe7euNqZ8+qKE9UCwetdyStlyR+X8HOy5mKW8aKGM6n5jO/hTXxGYS1nX9PFp23lC2wOY7t6suJwkmEyv0IBTw9of9Mcf9fr5GXP7MEBfL0nwbBtTmQnfJ2aJyWQs60Ff7u/My//FE25Vo+tuSnhfiom9fFDXVJZWq0hnyc9r5SNMalkFJQS0d6ZIcGuhi8+p1Py2HUuk3NpBQwJdiWyiyef7zxPXHrl8+tqa8Gozu7o9ZUr4etSWwqdhMxC1kSnkFVQRmRXTwYFVk8HZGFqwqO9fKulyLleJy8HfpzZl5gUNZ4Olgzo6Mq5tHyszU0ovjo3MaK9c63nN5ZQL3vaO9tw8Wqt6Md6195m0fQkGBRCNEhsaj7P/3jMqIICVM5RWnE4iTXHknl5eKChTFVdoi7m8Ggv32rBoFanR6/XY2VmYqigUJN7Q93o1kxl0dqSiABnls/qyx8XsqjQ6und3on+AQ0LECxMTXh5eCADO7qQqi4hwNW2Wlm/W5VTVMavJ1LZEZtOr/ZOjO/ujU8NQeaYLp50dLMlJbeEDq62hvl2jjX0Wt7M//bEs/iPykomC/dd5McZEURc/Zks2JdgSMy9PTaDB7t7GQJBgMzCMvp3cGFwkOstpULSVGj556azbDuTDsDa6BRWPdufLt4OxKUVcDIlDxdbc/p3cMG8HvkYu/g40MXH4br3Kn6YHsHe85mUlGuJScmjm68D7VxuniZHf3XZdk3VTWo7vqxCRztnG759qhcnU/JwtrEgIqCGenei2UgwKISot7xiDX9ZfbJaIHg9Twcrdp3LrHX/jSp0NQeNG06kMrmfP8uiLlNaXv2Ybj4O/GV0qOQZbCI9/R3p6X/rKUOgMt1JTT1Yt+uX6BTe/zUWgD3ns0jPL+XvD4TVGJAEudvVWsHjfHoB+85nAXoGdHQluJbKKiWaCkMuQqj8spKQWWQIBjPyjeetluv09A1w4mBCZbm6EHc77gvzqLH2dX0UlFZw6GrpO4CyCh1peaVYmip58psoMq4Ohf/rka519grWpaxCy3+3nzfaNmdszelkqhy+mM2n2yrPeX1kEN6OVrjYWtRaPi8+o5CPt57jbGo+s+/pwIRePvXKyyiangSDQtzFUvNKOH0lnxJNBZamJoR42t/WMN3RRDXHbzK3x8rMpNYExzXR1zKSrNHqWHrgMo/19sHN3pKfDiVRUFZOoKsdk/r40b+jM16q6hPkxd1vw8lUo/drjqXw0vDAGuc61iZFXcK0xYdJurq4w9PhIitm98XPqfrKdCtzU4YGufH9wcqeQaUC2rlc+3s0bWB7Dl/KoUKnx9fJijAvB8IfdmRHbAZanY6IACcSMgvJKiy7pXl4KmtzHujuZaix7GprToCrDadS8gyBIMCao8n1CgaLNRXsjctEXVxOT3/Hq6X2yo2OuX6hTU3nH72cy59WHCe7UMPjffx45ecTpOaV8OKwQGYNCsCyhjm/Pxy8zOar1WH+sjaGDm429GmGIWlxcxIMCnEXupxdxK8nr7Bg70XySq79I29rYcq0ge14oJs3Hdwa/o18T1zdef+gckisu6+KM6n1Ww1sWkc+N41Wx8WsYt4d15mn+7enrEKLrYWp9Aa2cRHtnIhOVBve9/J3xMGyYQtTTqXkGQJBgNS8Uk6n5NcYDAI8N7QDfs7WpOaV0r+DM32vGzYf0cmdNc/1J7OgjI6utoZUR9MGtueKuoRXVkQTdTEXMxMF8x4Pr5bou0BvxdHLObRztqmx0oeJUsFLwytzNBaUVNA3wIkOrrZkFJQZJdi+fui3Lj8dSuL9XytT7vg6WfHDtAi6+jgYUt6YKhVMqCOoXPLHJeLSC8ku1OBub0FSbrEhePx0Wxw92zkyoINLtfPS80uN3heVVVQ7RrQMCQaFuMtcyCzkT8ujiblSPRgrLKvg8x3xbDiRyv+eCK+xkkFd4tJuvqAjp0hT74oV1uYmN51bOKGnD2YmSsxMlNjKP1mCylJwKeoSfo1JpU87J14fFdzgLwhO1tXnDapsag8oPRys6syz2LWWuauHL+YQdTWhc7lWz7+2nGVIsCsWV6uxHLiQxcwV5ygsqwzyPn20G16q6r33LrYW1Xr9+rRz4otJPdhw4goh7nY8dkP95Jro9XpWH0s2vE/KKSEhq4ihIW7878mexKUX4GRjXuvnKSyrYOnVHsoHuntx+GIOFVrj7n2dtubu/ici/Nh9rnJe4qhO7rXeQzQ/yckgxF2kRFPBBxtjawwEr3cxq4i/rDmJulhT53E3sqtnsuDEnGKC3G/e8/hwuDfbY9Nr3R/up6JvB5lYLowFuNry6WPd+f3NoSx+uvctBRVdfRx4874QzEwUmJkoeH1kED18bm2O5ImkXLaeTiMhs/qXpRtXB9tZmGJy3dzGH6ISKbzaQ3Yw4VrgWJsrucX8cSGLCxmFmCgVjO3qxeeTeuDmYMn0xYd5c9VJLmfXPqdXoVDQr8O1Xk1LMyUeV2sYe6msGBLsVufP08rMhD7tnbiSV8qplDwGBbnyeIQfzlcD6af7+9Pdr+bzBwa6suHFAax+th9/e6Ayp6C+tnkiolnJ12wh7iLHk/LYefbmQ7kA0Ul5HEtUM+xqrjW9Xk9cegEHE7LZH59NabmWEA877glypYevI7aWpgwKdGHrmdqDtyoHLmTzzOAATE2UnKklMJ3Sz59JfXy5nF3M3vNZ1fYP7OjM3+4Pw91e5gWK6sxMlDX2oNWXhZkJzw7pwH1hlSlf2rvY1HtF7PV2nc1g1tIjlGv1eDhYsvip3kY97gM6OPNkXz9+OJiIm50570R2Mlpg4XDDFyzLOlYDJ2QWMmvpUeIzCrGzMOW7p3vTq50ThxJyeGftKQBi0wpQWZvxlzGhAGgqdMSlF2CiUBDkYYeJUsGMge3xsLckq7CMwUFuhNZzhCA1r4Rfoq9gaWbC3+7vxKWsYkZ38aBPe2d6t3OkqKwCb5V1jfMFq3R0s+NEkpqnFx8hRV3MK/cG8USEf71WQYumI8GgEHeR+szpu96WU6kMC3GjVKPlx0OJ/HNTLOXXDfHsO5/Fwn0XuSfQhf+7vzN9A5wxN1HWq5h8oLsdU/q142BCNsuiEjmVkoeZiZL7OnswpqsnEe0dsbEw48snehKdlMvRy7lkFpThYKGkb0c3wv0cm7RsmRAA7euRPqUua6KTDX9n0vJKOXwpxygYdLA256+RnZgxMAAbC9NqUyie7NuOUyl5nE0rZHJfPwZ0rD7XrkpUQrYh92ZBWQXbY9Pp1c4JdYnx4o/k3Mr5e+VaHd/uv8iHm8+iUMDcB8J4PMLvpkPetVl28DLzdl0AKpO9r362v2GeoodD5Ze2s2n57I3LxNrclBGh7rg7GC/q0ev1fLz1HLFX5xT/bcMZwrwc6N1eRgBakvxLK8Rd5FRKw7L4H01UU6HVseJwomFCeU32ns/i9Z9PMP/JHrw3rhPv/HKqzusOC3HjnkBXXO0seCjch9FdPMgvqUCpUOBkY47JdYtGKnscXQ0pSGJjYwkNavx0JEI0Bc8bgh37GhayWJiZ0K6W+tmdvOz5cJQXTh7eONuY15kI2+6Ga1dVc+nm60Copx2xqQWYmSh4KNwHqJyu8eHms0DlIpO/bTjD0BC3W1qFv/NsBocvXRvC1mh1pKiLjRatXFEXM+v7o4bFJDEpefxjfBejv+86PeRfDV69VVb07+DM5ewiOrrZ3lL+R9E4pF9WiLtIQ4e5FFT2Ivxj09mbHnssSc3uc5k80suHjx7ugk0NQ0EKBTzW24e/P9DZqAfEyswUd3tLXO0sjH4xCHEnupxdxPrjKWw7k05hWXmdxz7W24+RndxxtbXgmcEBDA5u+BcZhVaDh73lTSuiDA5y5aXhgXirrHgo3NtQbs7PyYZFU3rx3VO9WfNsf4ZfrSVsplRicd3wq5W5iVH5xgsZhUQlZJOeX0JdTqXk8cwPR42Gkzu42qIuLmfOLzH8dCiRwrJyUtWlRilptp9Jp6DU+OdnolTwyogg3OzMGRTowsqjyby+6iTvbzhDQUndP2vRdKRnUIg7WEFJOUcTczmZnEdhaTlW5qZ09ranl79TjbVfe/ipribRrZ9+HZw5fCm3XtVCAL77/RJjwjx5rLcf/QJciLqYzdm0AjQVWnydrOnT3pnOXvYNKvMlREvS6vScS8snv6SCEE87CkormL30CGevrpx/ZnAALwytrCNsW0OvXwdXW+Y/EU6xpgJ7S7NbmndYm1R1Cb8cv0JSbhHDQ9wZHurOqyOCmH1PANbmJkb38na0xtvReA6ln7M18x7vwTtrT2FuquSf47vgcvVL2sGEbKYvPkyRRks3Hwe+eLxHrWl1Cssq0FTo2Hgylcd6+2KmVBDobstba2IMx1iYKYlo70Q7Z2suZVcGhCM7u1frzQQYEuzG99P68OiCg4Zta4+nMLV/u1oXn4imJcGgEHeofeczmbsxlnNpBdX2+TpaMWdsJ0aEuqO8rqdtUKArn++Ir/c9RoS68+sNCXzrEpdeSGpeKQ7W5vg5WxvKewnRWv10OJG//nIKnR56t3Pk8T5+hkAQYMHeBCq0On49mcafRgTySLhPtQobZiZKHKwaf4jzu98vsWBfZW3nFYeTWTGrL73aOWFjUf9f3SM6eRDR3gmlQmEUzK47nkLR1eTwJ5LzOHwxt9ZgMMTDjnFdPdlwMpVVR5OZ2s+f44nGU1JSckvw6mHN15N7si8uC2sLE+4Nda91JMDXyQZfR2tOl1TOHbQwVWJreW20oaxCy/7zWWQWVOYtbWgaLNEw8vVdiDvQrrMZTFt8uMZAECApt4RnfjjKuuMpRtu7ejtwfzevet3jnkAXevg51msxyPV0kglC3CWSc4qZ+2us4Zk+fCmX0grj6jkqa3MuZReTll/KW6tjOHK57tQvjUWv1xN1MdvwXqvTk5pX93BubeytzKv1ajrekGfRuo4VwCprc95/IIxlMyJ4qn87Vh1LxsrcBEuzyhDCzERhqDsd7GHPjHsCeDzCH7c6yu/ZWJjyz4e6MDTIlW6+Dnz1ZDgd3a6VA1x//ArTlxzhrTUxTPk2yrBwpi4V2soyfTcOTYubk55BIe4wl7KLeHF5tNGq3pro9fDnVSfp6GZnmMRtYWbCn0cFk12k4ff42oeLe/iq+L/7O2NraUoH15p7A2pib2mKUx2JeYVoTbR6fbXa2JamJsyJDOU/2+JQWZsxqrMHi/+4ZNh/Y9m2xnYxq4jvD1wiIaOQ+7t7kZxbQnaRBgcrUwLdaq6dfCse7ulDXHoB0YlqHo/wY2Adq5gBHG3MGdDRhdwiDYv/uMTqY8k8N6Qj7g4WBLrZ3VId664+Kr6b1gedTm80wgGw5Uya4XVGgYbz6QV0rKNqUrGmgi93X2DTyVSGhboxLNiNfjf5TOIaCQaFuMNEJWQbktDeTIVOz/74TKMVfb5O1nwyoSvbYzP4Zn8CF7OuTej2VlkxY1B7RnRyx+fq/KLrE9DezIxB7Q0pJIRo7fycrHl5eCAfb40DoJ2zNd18VbRztuHB7t4olDBvx3lDz2EHVxtCPRsvIKvJFzvOsya6ssd/b3wWHz/SlSKNlh6+jnUOlV7KKkKn19PO2aZaYFVFq/v/9u47vqlycQP4kzRN9266J11AWzqhjJZRFEG5CCgCAleUKQoqoOLFxVK8Il4FFYGfg43KEJmyqSJ770JbWtrSvUeapOf3R2kgdKWLtuT5fj5+TE7ec/KecpI+fc87BCRkFUEiFsFLZopvR4WhWK6EhbH2fR2f6eQIdxtjFJcpIYIIenoidHQ0Q6FcgaM3s1BUpkSEp3W95oCsrr4hrlaITStEkIsl7uaVwNGy9nWnTyZkY9u5FIS4WWJFTDx+/DsB/xsRjIGdtLtTousYBomaSU5RGe7ml0BVXrFyh5u1cZ1fuHKFCuuOJ9brfVb+FY/hnV1hbXJ/9K6DhRFGd3XHM50ccT21ACUKJQz1JfC1N62y9mmgswWeD3PGb6eTHz60BlMDCaLb29erbkStmUgkwvjIdgjzsEJesRI+diZQqARkF8lha1YRPt580g9hHtYoLlMh3MMK7jbat6TXV5lShfN3ctXPBQGQ6Inx7241rxMMAFvO3sHbv16AShAw/9kAjOziViVgKVXlWH3sNuZuvwKJWIQvhwfD2lgfX+6LhbmhPt54wkerlVxEIhECnC2w7kSieqLrt/r6oBzAV/tjAQARntb4dlRotessa+uZTo6ITSvAtvMpCHCygLF+7XFFVQ6EuVthy70grSwX8MmOq+jta8f5SrXAnxBRE7uZXoC/b2ZiZUw8knIq+vhIxCIM7+yKp/wd0NnDCkbS6j96RWVK9Ug8bWUVliG/RKkRBitZGUvRtY6WP6lED9Of9EVOkQL7a1i9xNRAgu/HhCHA2aLa14naKkOpHrq1s0VcRiFm/nIeZ5Jy4WlrgiUjQxDgbAELI/1H1roklehheGc3fLLzKgDA1lRa5+ogd/NKMGvTRSjvNV++//sldPe2qTKZdlxmEeb8UTGXqEIl4L1NFxHla6ueOzCtoBQbJ3bTanBKZmEZFu68Px3VP/FZSHjgDsTx+Gz8fi4ZemIRngl0Uo9gro/LyfnYei4FAHAhOQ/bL6ZiukPNrbLh7laIyyjE9gsp6i421iZSSPQ4lZU2GAaJmtA/tzIxec1p5JVo3uZVlgtYezwRa48nYkJPT7zW2xuWxlVHH4pFIkgaMA+fXiOns3CyNMZ/n++Ev29mYuPJJPx9q6Ljuo2pFBMiK+ZO03bJKqK2aNeluziTlAugot/e2uO38enQTo+8HqO7usHN2gg5RQoEu1nC177229ISPTG8ZSa4crcAglDxXSAIQGxaAfQlYnjca8kUARCL7g8Ak+iJUKq4318yKbsEcqWqxjB4NTUfWYVyeMlM1SupFNzrzpKeX4pwDyv1zAQ2JlIcj8/Bnst3kVVYhun9/Or9cyh/aM1iZR0D3cyN9DEqwg02JlJ8sfcGrI2l+PhZfxjq1zwwhu5jGCRqIqdvZ2Pcz6dQXKaqtdyKI/HQF4vx5hO+VdbjNDfUR6S3LX4/n6L1+4a4WsLGrPHTWtiYGmBQsDP6+Tvgbl4pVOUCLIwlsDWtva8O0eNArtD83OaXaNdvt6kZSyXoH+CoVdlTt7Pxv703YCTVw4TIdlh34jbmDw7E3itp+HTXNUj1xFgyMgRPBTjA284U/30+CLO3XISBRIzPhwXhrxsZ6mO99aRPlRHGlWJiMzD+51OQK8vRydkC34wKxefDOmHuH1dRKFdg9jMd4C0zg7+TOdLz5ShTlWPdiYruLkdiMzEk1AWeNazAUpOuXjbq6WzayUwwsFPdPxMjqQRDQl3Qz98BErEIBjUEwTs5xbibVwoXK2M4WPD7DWAYJGoSlWuA1hUEK3176Bae6GCHUHfN9TjFYhEGBjnWKwyO7uoO4xpuOzeEYS1LZxE9rvr42eGnfxKQX6KEgUSMEZ1r76fX0jIK5Jiy5jTSC8oAANfuFmLjpG4QygW8ufEcgIol42ZvvYgIT2tYmkjxfJgLIr1tIBGLYWtmgAgPa/QLcIBUT4wgV8sa+zT/cT5FPTH9heQ8nEvKxb+CnPDbq91QLggwkFSErld7e+Nqaj6Gf/8PKhv2fO3N8O5v57Hypc4wN9J+JgKZqQEWPheIt570hYWRPmxMDZCSW4wjNzIh0ROhp49MPXWNQlWOA1fTcC2tAN4yMzzR0U5dp4ddTs7DhFWnkJJXCj97U3w7OgxessatT/04YBgkagJXUvKw89Ldugs+4PCNjCphEKjo+xLmboXTWsxn5mFjXGefQCKqW4i7FX6b3B23s4rhaGHY6vvHFsmV6iAIVKwSgmpmo5KIxRA9cAPiwdkAzIz00d2r7ulXHp5BoHJN5OpWGurgaI5vR4di0+lkGEjEOJuYixvpBcgukuPg9XTcuFuAjk7meLKjQ5U7Iw8zMdBHO1nFexWUKvCfzZdw6F5r5uBgJywc2gmGUj0cuZGBSWvOqPdbNiYU/f2rb0mMic1ESl4pAOB6WiGO3cpiGAQnnSZqEhfu5EOo52TMa48nIre4rMp2KxMDfDo0sM4pLJwsDPH1yBA4N2DReSKqytfeDE92tG/1QRAAHC0M8VI3d/XzZ4Oc4GZtjPaO5pgzqCP0xCKYGkjw2XOBjV4d5flQF4zo7Ir2DmaY+6w/ItpV/SP2QZ2cLeAlM0GZqhymhhI8H+qCi8l5eGPDOXxz6BZeW3cWh69XP1itJhkFcnUQBIDtF1KRU1Lx/fngesgANAazPOzBVU6AisFxxJZBoiZRVFb//kW5xQqUKqq/rexrb4Zlo8Ow+9JdrIiJQ2bh/dBoZiDB+ChPDAh0rLNzORE9ngz09TCjnx+ifGyhEgR09rCG2b0WuzFdPdC3gz309cSwNpEit7gMFkYNXzfZzcYYC5/rBKWqvMpSfJVyistgIBHDWCrBHxdS1XM3PtHBDlOjvbHjouayl0k59Zs1wdpEimBXS5y7N8gn0sdW3ULZwdEc+noiKFQC9MQiBDjVPNitX0cHxKYV4uD1DAwKckIvP1m96vG4YhgkagLSBkxfYKSvV+MXKwC425hgUi8vDA5xxtWUfBQrVDCQiOHnYKaeMJqIHi+nErKRkFUET1vTOlf1MDfSxxMdHapsF4tFcLEyRlxGIT7YeglnEnPwYoQ7JkR5wsyw4SsIVfd9pVSVY+OpJHzx5w04WRpizr8CsPTA/fXR911Nx6ReXujkbAmJWARluQCpnhgdnerX+mppLMUXw4Kw/1o69MTAEx3s1X2lu7azwbrxEYhNL0I7mQkiPGtuubQzN8ScZwPw3r25V6kCfxJETaAhy0Q9FeAA6xpG7z3I3twQ9rWs8UlEj1ZidjGyi8rgamXUqImVj8dl4WRCNsz09eBUosCFO7l4+ceT6sD008ud0b0RS6ptPZeCP6+kAQC+3h8LfydzPOVfNTw+KDW3BL+evoO4jEL08pUhs6AUUn0JnvK3r3b1oUvJeerJp7OLyrD0YCwiPK3VcwRK9cQwM5CgvYc51k2IQHxmEbwbuHydl50pvGpYkq6zpw06e2rff5pBUBN/GqSzCkuViMssREmZClKJGO42JrA2aVjfmhA3K/g7meNySr7W+zzTybHGZaOIqHU6mZCNCatOIbdYgTB3K3w5PAhu1vUffX/hTi7+/cMJ9ShdBSQoLVOpJ48uU5XjXFJuo8JgfonmOsrFdXRnKS8X8NPRBHx/JA4A8MeFVDwX6oJfTiXhUnIePh0aWKV1sOyh+f/yShSY/XQHlKnKcTevFFP6eKuX0eviaYMu9QhsmsctQ0GpEjJTgxqnjKGGYxgknZOSW4KjN7Ow6lgCLtzJU293tTLChKh2iPSxRbt6ji4zNZTg9WhvvPrAiLbaRPnYItTVsl7vQUQt78e/4pFbXBGyTt/OwZEbmRjdtf5h8HZWsToIAsA/t7IwJMRZo0xj58Ab2MkRW87eQV6JEuEeVujsUfvAj71X0jS+E1XlAsqFijr+E5eFPy/fxdMPrcbi72SO8ZGeWPlXPIylenjrCV9425vh21FhEAQBIpEIZxNzcDurGF4yU4111LV1JSUPb208hxvphRjT1R0z+vmp+wtS02AYJJ1y424B3v7tPM4/8IVXKSmnBB9uuwx7cwN8NyoMofW8jfFEB3vMGeSPj7ZdrrVcqJsl5gzyh4UWt4iJqHV5uDW/oY37nrYmMJbqqecm7ekrQ09fGT4c2BFH4zIR5S3Dkx0atxZ4uIc1fn8tElmFcrjZmkBWyy1tQRCw7PBNBLtZ4Vh8FgQBcLM2grfMDK7WRgh2scQ3h26ht58djB8YgWtioI8Z/XzxXJgLTA0kcLW+359ZJBLhWFwWXrrXAmos1cOacRH1/m795dQdXE8rBACs+uc2unvZon9A7be7qX4YBkln3MkpxoxfzuFiHbdy0/LlmLj6FH5+pQv869HJWV9PjFERbnCxMsL6E0nYdzVN43U7Mykm9vRC/wAHDgAhaqNeifTEifhspBfIEelti16+DRuNGuBsgdWvdMGZxFyYSlQYGOoMM0N9vBLpiVciPZusvh62JlpNIi8SidBOZoo/zqdgeLgrShXl8HMwxcLd1zDjSV/svZoGWxNptbdojaSSGperPJuYo24BLS5T4cKd3HqHQcVDt6IrWyup6TAMks44dD2jziBYKbOwDFvOJNcrDAIVo+36drBHlI8tLiXnIymnGKpyAeZG+ujkbKGeMZ+I2qZQNyv8/loP5JQo4GRhWO0a49oK87BGmIc1rl692qhRvk1lSm8viEUiXE7JQ7iHNZbf6zuYXVSGdrYmmNzLC3piEQRBQF6JAsZSPUhrWOmj0sPzoDo1YF7UF8JdcOBaOlLzSvFskBMiGtjvkGrGMEg6Iae4DP/3V1y99ll97DZejHCrd/9BAJBK9BDqblXvv4CJqPVztDSCYxuf7P3Q9XRsOnMHzpZGGNHZDR62JvCyM8Pnw4Jw+nYWxv54EgWlKoS7W2F8lCec793NKC5T4se/4/Hj3wkIcLbA+890hHcNI3wB4ImO9lg0rBMup+Qj2NWyQS2pQa4VATyvRAFHS0OYGtwPzqdv5+BUQjYcLAzRt4OdxmuPklyhwt4raYjLLESAsyV6+8ra1ABBhkHSCdfvFiC+llnpqyNXluPCnbwGhUEiopZSJFeipEwFaxNptYHkako+Jq0+rb59m1Egx7PBzrAzM0B7R3OEudvgt8k9kFUkh5etKewfGMhyLC4bn++pmFD60PUMtLdPwqynO9RYF2OpBM+HueL5sMadk525YZU7K1dS8vHv/zuOonv9LucPDsDoru7V7d7s9l5Jw+vrzwIARCJg9StdEOkjw928UqTmlcDRwqjRA4KaE8MgtRi5QgWFqhxGUgn0mvkvqEJ5/VcIARq2sggRUUu5mJyL9zZdREJWMV7t7YVxPTxhKNW8lZtVXKYxkvlKaj4up+QjMbsYP7/cBZ09reHnYAag6vyp8odWTcorVVQp86gkZhepgyAAHI/ParEwGJdZpH4sCBWjxe3MCvDq2tO4lVEEL5kJvhsd1mpXjWIYpEeqUK7AuaRc7LuSjoPX0yFXlMPRwhDDwl0Q0c6m2RYM129g2KxuIXYi0g0ZhXL8HZsJVbmAiHbWbWLg1zcHb+LSvb7Rn++5jkAXC/T00bw162tnii6eVjgRnwMACHe3xi+nkiBXluOfuCx0rmUFjzB3K/TtYIf9V9NhaayPoaEuzXcydfCwMYGZgQQF9/7Y7+7Vcn0J/Z3MIRJVBMHKlaKOxGbgVkZFSLyVUYSY2AyGQaJbGYWY88dlHLmRqbH9bn4pziblwkAixpxB/hgS4tzkk4q62xjDSF8PJTWsBVwTTy1G4RHR46egRIGPf7+sXlM3zM0S344KhX01q3C0JpVzIFaSK6qOvLUzN8T/hofgwp08FMoV+HzPdXVLoU0dE+/bmRvii2FBSMwuhqWxFG7WLReQ2zuaY/X4CJy9nQN7cwP0bm/XYnXp42eHVa90we2sIrR3MEe4hzVi0wo0ylQun9catd6a0WMlIbMIr689g6t3C2osI1eWY9bmi1CoyjEqwr1JO9962Jripe7uWHZY+0EkvXxt0cm5/hOkElHbl5RbrA6CAHA6MRexGUUtGgazCuU4m5gLA30xOrtbV7n9CwBTenvjXNIplCrK0T/AHqFultUey8nSCE6WRiiSK5BfosTOS6mI9NZu/j5LY2mjRlE3pWBXSwS3ggn8xWIRonxkiHqgFbZvB3uMTsnHnitpeKqjPfp2aLmwWheGQXok1h6/XWsQfNCH2y4jwNkCIW5NOxL3KX8H/Ph3gkZfmdqM6erBZY+IdJSZgb7GpNB6YhEsWnD6l7wSBT74/TJ23guo7/T3w+SeXlX+aO7pK8OOqVHIK1HAS2ZS5+T2JgZNP7chVbAzN8TcZwPwTn8/mBrot+rRxewQRc3uVkYhVv1zW+vyggAcic1o8nqEuFlhycgQ6OvV/YGcO8gfvf0aNpksEbV9rtbGWDY6DG7WRrA3N8D/hgcjwLn6iZUfhfiMInUQBIBlh24hu7is2rJedqYIdbfiKketgFgsgrlR9aO6WxO2DFKzO5OQo3VrXKX/i4nHyM5uTT5Jcz9/B/z8chf831/x2H8tvcrrwa4WeLWXN/p2sKuyIDsR6ZaevjLsfqMnVOUCzFp4LVxzI4lGv2dPWcVydm1BbnEZdl++i/T8UkS0s2mSSaNvphdizbHbSMsvxaiuboj0bto/3s8n5WLf1TSYGkjwdCdHuLaBwUONwTBIzS6rhr9ea5NfqkRusaJZVuzo7m2LcA8rXLyTh0sp+SguU8JAIoavvRlC3KxgYsCPBRFVMG4l3wftZKZY8e8wLDt8C1bGUkzq5dVkAxLiM4uw40IKistU6Odvj2DXpu2i88upJHyy8xoAwEg/Dr+92q3O1Z3kShUMaljdpLxcwOd7rmHP5YolPw9dz8D2aZFNNhvFnZxiTFh9Cun5cgDAtdQCfPFCUKtv3WuM1nGVE1VD1IyfO6lET70UFBFRWxDpI0OkT9O2gMkVKsz94zIOXq/omvPbmTvY/Gr3Jp1G53hctvpxiUKF5JySasNgXEYh7uaX4O/YLOy4mIrefjJM6e1dpVGgTKXCtQf6oJcoVMhtQKNDpUK5ArfSi2BqKIGXzBSZBWXqIAgAx+KzUFymgqnh4xuZeB+Mmp29uUG997EzM4B1HVMcEBFR4xSUKnEi/n5YS8+XIz6jCD//k4DfzyajoKTxk0pHPzCK1sZEH+WCgLO3czTKnL2dg6HfHcXWs6n45tAtJGQV46ejt7Hn8t0qxzPUl2Biz3bq50/522u0CipV2ndLKihRYOHOa3j2m7/x9FcxOHQ9Ha7WRujicb919IVw18c6CAJsGaRHoLOHtcbEoNqY2LMdbEzrHyKJiEh7Fsb6eC7MRT3Ib2w3D/xny0Uk5ZQAAGb288Xr0T6Neo+hIc6wNpEiObsEKXklmLL2DMQiEZb/OxzR9+YGPBybgdxiBRQPBbmC0up/b7wQ7gofmSmKypTo5GIJS2MpiuQKrP4nEb+duYNIbxu82surzqmALqfmYc3xRAAV05t9tS8Wm17tjsXDg3EiPhvGUgl6eLfcZNaPCsMgNTsXK2NM6tUOi/68oVV5qZ4YPbxtm7lWRESkryfGm0/4IMzNCiWKivWMf/onQf36joupmNLbu1H95YykEgwIcMS288mYv/MqAKBcEHDwero6DFrcG6CjVJXD3cYYt7OK4WhhiJ6+1d8W19cTo0s7zZB25EYmFu6u6Jt4M70Q7jYmeLlH7VPmGOlL1CuHAIDM3ABisQguVsbNvuKMUlWOPVfu4lR8DnwdTDEw0KnFBioxDNIjMSzcBScTsnH4odVHHiYWAf8bEYwOji03hQMRkS6xNjHAsyHOACoWCJCZSpFRWNEHr4+fXZMNnJCZGWoELwtDfShV5ZDoiRHiaolREW44Hp+NST3bwdnSCJ4yE7hZa78KVEGpEq7WRujla4fCUiUUqnIoVOW1Lisa6GyBz58PwuI/r8PNxhhvNLIVtD7+vpWF19aeVT+XiMUYFu76yN7/QQyDrZi+fstOZdCU7M2NsPC5Tlh2+BbWHEuEqlyoUsbZ0ghznvVH3xZcUoiISJd52Jrgh7Gd8dfNTFgaS9Gvo32Dj1VeLmDvlTQcvpEObztT9PKV4ZUenriZXgg7cwMcj89CQpYTMgrkeOWnUzCW6qG3ry1i0wrw3z3XMbOfH0Z0NtJ6mq/OntYYkO6A5THxAICt5wBvOzN162N1xGIRng9zQf8ABxjoiaEveXRDKVJzSzSe38kpqaFk82MYbEUEQcCNtAIci8vC0VtZyC8ug/v5YvT0laGzhxVkZk0/zcqj5GhhhI8G+mN4uCv+uZWFM0m5KJIr4WZtjB5eFdO9sJ8gEVHLCnSxRKCLZaOPcyIhG5PXnla3BH4wEPj9XDLKBSD/pgJikQiXU/JxPC4LJQoVShQqbDqbgsHBzsgtVuD9rZfg72Su9WpULlZGVVaNSsou1mpf0xaYQijA2QLmhhLklyohEYsQ5t60U/rUB8NgK5FbXIafjyZg6cGbUKjut5r9E5+DDSeT4GBugP8+H1Rj/4m2QiwWoaOTBTo6WWBcS1eGiKgNUpULuJVeCIgAb5lpq53/Lj2/VB0EAeBOdgm+HhGMt3+9AD1jKQYFO2H2lksYHOKksZ+B/v3WuTItFyxQlQtY9U8CcosV0BOLoCoXYCARw9+p/l2OMgvlyCiQw8HCAFbGzddAEeBsgQ2TuiH2bgFcrI0ZBnVdUZkSX++/iR/+jq+xzN18Ocb9fBL/91LnNh8IiYioYcrLBaw/fhsfbLsMAJg/OAAvdnGDqDknZm2gjk4WcLQwRGpeKfTEIvTwsUV3bxl+eqUL5m2/gjXHbkOuLMednBKM7OKK80m5GBzijF9OVIzuHR/pqfUSgCm5JViw4ypMpBK8EO6CkrJyDA11Qng955K9cbcAU9efwfW0QnTxsMKiF4LhZt18A0k6OpqjYyvoI88w2Ar8fTOz1iBYSaESMOPX89g5NQqyBszdR0REbVtidjE+2HZZ3eL24e+X0dNbBlebpg0sJWVK7L+Wjru5pQh2s6x3qAIAbztTrBkXgSup+XAwN0T4vbn7HCwMIQLUy5QaSyX4YGBHFJQqsPdKGib28oKTpRHC3K1gpOUqKwYSMUwNKm65rj+RBDMDCWYN8Kt3nQ9cT8f1tEIAwImEHJxOyMbRW5koKFGgh7ctOtaxckpbxTDYwhSqcvx+NkXr8hkFcpxIyMYznRybsVZERNQaSfREkOqJ1UFKIhZBT6/pWwV3XEjFzN8uAAAM9cX4dVJ3BLrUPwh52ZnCy05zmTgzQ318MjQQh29kQCwSoZefDIYSPXz852X8cuoOAMDJwhC/Tu4OZy3DoJ25Ib4dFYoPt12GIAiY92wAHOqYY7A6Bg8MILEy1sfpxBysOZaortPGSd3g2owthS2FK5C0sLiMQuy8lFqvffZdrTojOxERPf5crIzx1YhgmBlIYG4owdcjQ+BkWf/QU5ezSbnqx6WKciRkFjbp8Z2tjPFihDtGdHGDo4URiuRKHHlg6rH8UiWyi+W1HKGqSB8Zdk6LxM5pUTUu21dcpkRcRiEyC6s/dr+O9hjYyRFmBhK80sMT/9zKUr+WkleKlNyWG/HbnNgy2MIKSpUaHWy1EZdR1DyVISKiVq9/gCPC3K0hAmBr1jxdhkJcLbH23socRvp68LA1rWOPxjE1lGBQsBOWH4lDdHs7WBjpY/GfNzCiixue8nfQ+jiG+jXHmpwiOebvuIpNZ5Lhbm2Mb0aFIsBZs7XT2coYi18IQl6JEpbG+ihTlWPJgZsAAA8bY7hYNX3wbg3aZBjMzc3FN998g3379iEjIwOWlpaIiorCtGnT4OhY9+1TlUqF1atXY9OmTbh9+zYMDAwQFBSEKVOmIDQ09BGcwX3azp/0ILPHfI1EIiKqnayZQmClZzo5wliqh5S8UgS7WjboFnF9iEQiTOnthU7O5jh6Kxvr7g0iORKbic2vdkOQa+NH2h6Ly8amM8kAgNvZxfj9XHKVMAgAUokeZGYVU9SMi/SEp60JCkqV6OZlA+dmXpWkpbS5VFFQUICRI0ciLi5OvS0jIwObN29GTEwMNm7cCGdn51qP8c4772D79u3q53K5HDExMfjnn3/w7bffolevXs1W/4e5WhvB2dIIyfVoeuZoYiIiak5GUgme7uRUd0EtxWUUYseFVJQqVejv71DtPIaWxlIMDHLGr/f6DQIVU8bkFCka9d5lynLsu5KGs0k5GNPVHQevp+NOTgkk4robYyyNpRga6tKo928L2lyfwW+++UYdBMePH4/jx4/j/fffB1ARCj/77LNa9z9w4IA6CHbt2hV//fUX1qxZA2NjYyiVSsyePRtlZWXNexIPsDExwISo2tdOfJBYBHT34rq9RETUNpQqVJi7/Qq+2HsD3xy8hVfXnsbdvJobQEZ0cUPl1ImdPazQ3tGsUe9/+Ho6pqw7gxUx8Vh97Db6+MkQ6mqJwSG1NxzpkjYVBgVBwJYtWwAARkZGeOONN2BpaYkxY8bA1bViPb/9+/cjLy+vxmNU7g8AU6dOhUwmQ+fOnTFgwAAAFYHyr7/+asazqKqnrwwuVtqtLjI+qh3X7SUiojajoFSJUwk56ud3ckqRXVxza1//AAdserU7fhgbjiUjQxo0KvhBtx9ahcTe3BCrxkXAz6FxIfNx0qbC4J07d5CbmwsAcHNzg1QqVb/m7e0NAFAqlbhy5UqNx7h48aL6sY+PT7WPHyzzKLSTmeKbF8PqDITDw10xqWc76LXS2eaJiIgeZmWsjxGdXdXPe/vK4GxR8+87kUiEEDcrRLe3b3QQBAB/J3NI7v3e1BOLEOxqCdMG9L2/lJyHNzacxcs/nsA/tzJrLFckV+DCndyKVWLaiDbVZzAz8/4P38xMM9E/+Dw7O7vexzA1vT9SKisrC49akKslVr0SgUPX0/H9kTik5d8f9t7bT4ZhYa7o6WMLMyP9R143IiKihpLoiTG1rw9C3a0gV6rQrZ0tLIylde/YRLp52WL9hK6ITS+El8wEEe1s6n2MkjIl3t96EeeSKu48nr6dg51vRMHloQElBaUKfLb7GtYcS4SBRIzvRociur19k5xHc2pTYbA2Qn3nZ2mk3NxcLF++vMmPKxKJ8HYnN5ToWUChLIeRvhjITUDysXNYf6zJ346o1SktLUVMTExLV4PokdGla14kEuFImi8KVfqwszBCUWEhygsyUZCT8Uje//y9/+rL1tkd8Zn378rllyrx1/HTyE+8qlHOwMUfa47lAqhYYWXRnmvIvBiD3JyaG6kelaioqBpfa1Nh0Nb2/sCJ/Px8jdcKC+83x1pb17xsjq2tLVJTU9XHsLS0rLK/jU3dfzVYWlpi4sSJWtW7oa5evYoOHTo063sQtTa87knX6NI1fzYxB2N/PIG8kkI4WpQgwtMGJQojzBsxAHbm2vWdbwmCICDXMgFz/6johja6qxv+Fd0BJlLNgHU+KReimL/V8wfbmhpi2PPPtYq1o69evVrja22qz6CLi4s6vCUmJmqM+r15s2JSSIlEgo4dO9Z4jMDAwCr7AEBsbGy1ZYiIiKhpHLmRgbwSJQAgNa8UIhGw53Iajse3fMtZbUQiEUZHuOOXSd2wZlwXvPtUe5hUs1RegLMFPhvaCXZmBgh2tcTMp/xaRRCsS5sKgyKRCEOGDAFQ0az+1VdfIS8vD6tXr0ZSUhIAoG/fvrCwsMDx48fh5+cHPz8/zJo1S32Myv0BYMmSJcjMzMSJEyewa9cuAIBMJkNkZOQjPCsiIqLWrVCuhFyhavRxrB7qKyi9txawtBnWV25qUokYXTytEekjq7H/vp5YhBc6u2Lf9F7YOLErOj0wn6JcocLm03fw9q/nsfbYbRSUNG7+xKbUpm4TA8Brr72Gw4cPIy4uDitXrsTKlSvVr8lkMrz77ru17h8dHY2BAwdi+/btOHbsGHr06KF+TSKRYP78+RqjlImIiHSVIAjYejYZn++5DjtzQ8wZ5I8gV8sGH69/gAOScopx6HoGOnta42pKPsZHejb5/Ll/xWbg20O3YG0sxeTeXtWuNNIQKbnFOHIjE3piEXr7ySAzq/7Wtnk1YfFIbAam/1rRY/HX03dgqC/Gc2GuVcq1hDYXBs3MzLB+/XosXboU+/fvb9BydJ999hkCAwOxadMmJCQkwMDAAMHBwS2yHB0REVFrdTklHzN+PY9yAUjJK8X8HVewfkLXBi2lCgB25oaY/UxHvNu/HApVOQrlSlgaS6HfwONVJzGrCJNWn0aJQoVBQc749VQSShQqdPaoeTyBNvJLFHhv8yUcvlEx2OW5MGd8MjgQBvp6Wu1/N79U43lqXmkNJR+9NhcGgYrBG++//7565ZHqRERE4Pr169W+JpFIMHbsWIwdO7aZakhERNT2lShUKH9gso6MAjmU5QIk2uWfGkn0xJDoiWFUTb+7xiqUK1FUpsLzYS7YeyUNeSUKrDuRiB/GdkaUT8OXc80oKFUHQQDYdi4Fb/drDwcL7X4YwS6WMDeUIL9UCQOJGOGNDKdNqU31GSQiIqJHp72DGUZHuAEAhoW5YHCIM/Zcutuq+rs9zMPWBKO7ukGpEpB3r54KlYCTD6yC0hDWJgYIdLq/AliUty0sjLQPs4EulvhlUjd882IIfpvcDV0bMN9hc2mTLYNERETU/MwM9THr6fYYEOiA6b+cVy+I8HY/P7wW7d3CtauesVSCd59qj71X07D1XLJ6u7Nl46ausTKR4ssRIdh3NQ0SsQj9OtrXu2WzvaM52rfCJWUZBomIiKhGpgb6UKgEjZWxtl9MweTeXvVeHlUQhEcy1YqZkT7+FeQEiViMY3GZ6OBogQEBdY8pqIu3nSm87UzrLtjGMAwSERFRrZwsjWBmIEGBvGKOwF6+dvUOggevpWPpwZuQmUrxerRPjSN8z97Owe/nU2Ai1cOQUJcGhy99PTEGBTthULBTg/bXJQyDREREVCtfezP89HJn/H0rC5bG+ugf4FCv/W+mF2DymtOQK8sBAJmFZVg7PqLKSNyU3BJMWH0KmYUVi0pcTsnH92PCtB6xSw3DMEhERER1CvOwRlgDR8AWlqrUQRAAbmcXQ65UVQl5OcVl6iAIABeS81BcVrUcNS2OJiYiIqJm5SUzwdBQZ/XzN/r6wNyo6gIPrlbG6B9gr37+Ujd3WNSw2gc1HbYMEhERUbMyM9LHhwM7YkiIM4z09RBcwyom5kb6mDc4EM8GOcNQXw8R7awhrmffRKo/hkEiIiJqdpbGUq0mfZaZGmBAYP1H/pYqlFCqBJgasiWxvhgGiYiIqE07l5iDXZfuIrdEgShvWwwM4gji+mAYJCIiojarVKHC3qtpWBETh3IB2H4+BeZG+ujp2/Cl53QNB5AQERFRm6UsF5CWX6peQ7moTIUbaQUtW6k2hmGQiIiI2ixTAwn8HDSXeHscVwlpTrxNTERERG3aiM6uMNATIyGrCOHuVoj0tm3pKrUpDINERETUppkZ6uPf3T1auhptFm8TExEREekwhkEiIiIiHcbbxERERNQiisuUiLmRiZziMoS5W8HH3qylq6STGAaJiIioRWw8mYQ5f1wBALhZG2HN+Ai4WZu0cK10D28TExERUYv4/Vyy+nFidgniM4pasDa6i2GQiIiIWkR3r/tTwJhI9eBoYdSCtdFdvE1MRERELWJsDw/Ymxsgq7AMUb628HVgn8GWwDBIRERELcLOzBAvdfds6WroPN4mJiIiItJhDINEREREOoxhkIiIiEiHMQwSERER6TCGQSIiIiIdxjBIREREpMMYBomIiIh0GMMgERERkQ5jGCQiIiLSYQyDRERERDqMYZCIiIhIhzEMEhEREekwhkEiIiIiHcYwSERERKTDGAaJiIiIdBjDIBEREZEOYxgkIiIi0mEMg0REREQ6jGGQiIiISIdJWroCRERERLois1COq6n5MDWUINjFEiKRqKWrxDBIRERE9ChkF8nx3uaL2HslDWIR8NWIYPwryLmlq8XbxERERNQ6ZRfJkZBZhNIyVUtXpUncuFuAvVfSAADlArD8SBzKy4UWrhVbBomIiKgVungnF1PXn0VCVjFGdXHDO/39YGEsbelqNYq5sT709URQqCoCoLedKcTilr9NzJZBIiIianU2nUlGQlYxAGDtiUScTMhu4Ro1XkdHC3w3OgzdvWwwsosrXu/j3dJVAsCWQSIiImqFxA81V7WGgRZN4YkO9niig31LV0MDWwaJiIio1Xk+1AUdncygJxZhXKQnunhYt3SVHltsGSQiIqJWp6OTBdaP74qiMiVsTQ0hlbD9qrkwDBIREVGrZGEsbfODRtoCxmwiIiIiHcYwSERERKTDGAaJiIiIdBjDIBEREZEOYxgkIiIi0mEMg0REREQ6jGGQiIiISIcxDBIRERHpMIZBIiIiIh3GMEhERESkwxgGiYiIiHQYwyARERGRDmMYJCIiItJhDINEREREOkzS0hVoiM2bN2PdunW4efMmxGIxOnbsiHHjxqFPnz517iuXy/HTTz/hxIkTiIuLQ1ZWFkxNTeHu7o4xY8ZgwIABEIlEj+AsiIiIiFpemwuDixcvxvfff6+x7eTJkzh58iTmzp2L4cOH17p/fn4+Fi9erLFNLpcjKysLZ86cwfnz5/Hee+81eb2JiIiIWqM2dZv42rVrWL58OQDAx8cH+/fvx7Zt2yCTyQAAn376KTIzM+s8jrOzMz788EMcOXIEp0+f1gh/q1atQnZ2dvOcABERkY65nVWEjScSse1cMvKKy1q6OlSNNhUGt27dCkEQAAATJkyAi4sL/Pz8MHLkSABASUkJdu3aVesxLC0tsWvXLowaNQr29vYwNTXF2LFj4ePjAwAoLy9HYmJi854IERHRYyS7SI4zt3OQkFmksT2jUI43N5zDu5svYtqGc/j20C317/HWLi2/BBtPJGLd8dtIzilu6eo0qzZ1m/jixYvqx5Xh7eHHD5apjr6+frXb5XK5+rGDg0NDq0hERKRT0vNLMWvzBRy4lgEzAwlWvhSOiHY2AICUnBKcTcpVl91yNhmv9fGGuVH1v4tbi9IyFeZvv4o/LqQCAHr52GLpqFCYGbbuejdUm2oZfPAWsJmZWbWPs7Ky6n3c3377Td0a2KdPH4ZBIiIiLZ1JzMGBaxkAgAK5ElvOJqtfk5lJ4WplpH7e00cGU4PW3w6VXVyGnZfuqp8fjs1EZoG8lj3athb9Fzl69ChefvnlOst16dIFq1evrvH1xjQ5//HHH/j4448BAO7u7liwYIFW++Xm5qr7LzaX0tJSxMTENOt7ELU2vO5J17T1a17fNVDjuVQow8qVK1FeXg4AmBoSgBuFZjCUiOCMu1i58nhLVLNezKxs0NXNHn8n5AEAOjma4OTfB7E3PbWFa9ZwUVFRNb7WomHQyMgInp6edZZzdHQEANja2iIhIQFAxajgSoWFherHNjY2Wr//mjVrMH/+fAiCAA8PD/z0009a729paYmJEydq/V4NcfXqVXTo0KFZ34OoteF1T7qmrV/zcoUKglkifvg7HoHOFhjbyw/tZOEtXa1G65FVjP3X0qAqFxDd3g7tZKYtXaVGuXr1ao2vtWgYDAkJwe7du7UuHxgYiFOnTgEAbt68CX9/fwBAbGysRhltLF26FEuWLFHvs3z5clhbW2tdFyIiIgIM9PXwSqQnRnR2haG+HsTix2OuXjcbY7zco+4Gq8dBm+ozOHjwYPWE0CtWrMCdO3dw/fp1rF+/HkBFS+OAAQPU5aOjo+Hn5wc/Pz/1NkEQMG/ePHUQjIyMxM8//8wgSERE1AjGBpLHJgjqmjYVBtu3b6++NRsbG4u+ffti0KBByMio6Lg6a9Ys2Nra1nqM5ORkrFmzRv38r7/+QmhoqDo0+vn5YfPmzc13EkREREStSOsf0vOQ6dOnw8PDA2vXrlUvR+fv76/1cnREREREdF+bC4MAMHToUAwdOrTOcgcOHKiyzcXFBdevX2+OahERERG1OW3qNjERERERNS2GQSIiIiIdxjBIREREpMMYBomIiIh0GMMgERERkQ5jGCQiIiLSYQyDRERERDqMYZCIiIhIhzEMEhEREekwhkEiIiIiHcYwSERERKTDGAaJiIiIdBjDIBEREZEOYxgkIiIi0mEMg0REREQ6jGGQiIiISIcxDBIRERHpMIZBIiIiIh3GMEhERESkwxgGiYiIiHQYwyARERGRDmMYJCIiItJhDINEREREOoxhkIiIiEiHMQwSERER6TCGQSIiIiIdxjBIREREpMMYBomIiIh0GMMgERERkQ5jGCQiIiLSYQyDRERERDqMYZCIiIhIhzEMEhEREekwhkEiIiIiHcYwSERERKTDGAaJiIiIdBjDIBEREZEOYxgkIiIi0mEMg0REREQ6jGGQiIiISIcxDBIRERHpMIZBIiIiIh3GMEhERESkwxgGiYiIiHQYwyARERGRDmMYJCIiItJhDINEREREOoxhkIiIiEiHMQwSERER6TCGQSIiIiIdxjBIREREpMMYBomIiIh0GMMgERERkQ5jGCQiIiLSYQyDRERERDqMYZCIiIhIhzEMEhEREekwhkEiIiIiHcYwSERERKTDGAaJiIiIdBjDIBEREZEOYxgkIiIi0mEMg0REREQ6jGGQiIiISIcxDBIRERHpsDYZBjdv3oznn38ewcHBCA0NxejRo3Hw4MEGHWvv3r3w8/NT/7dmzZomri0RERFR6yVp6QrU1+LFi/H9999rbDt58iROnjyJuXPnYvjw4Vofq7CwEHPnzm3qKhIRERG1GW2qZfDatWtYvnw5AMDHxwf79+/Htm3bIJPJAACffvopMjMztT7eokWLkJ6eDmNj42apLxEREVFr16bC4NatWyEIAgBgwoQJcHFxgZ+fH0aOHAkAKCkpwa5du7Q61pkzZ7BhwwY4ODjUqzWRiIiI6HHSpsLgxYsX1Y99fHyqffxgmZooFAp8+OGHEAQBH330EUxMTJq2okRERERtRJsKgw/eAjYzM6v2cVZWVp3HWb58OWJjYzFgwABER0c3bSWJiIiI2pAWHUBy9OhRvPzyy3WW69KlC1avXl3j65W3jrURFxeHZcuWwcLCAu+//77W+z1MLpfj6tWrDd5fW4/iPYhaG173pGt4zVNzk8vlNb7WomHQyMgInp6edZZzdHQEANja2iIhIQEAkJ+fr369sLBQ/djGxqbWY3333XcoKyvD6NGjkZGRof6vUlpaGq5evYoOHTrUepzg4OA6601ERETU2rVoGAwJCcHu3bu1Lh8YGIhTp04BAG7evAl/f38AQGxsrEaZ2hQVFQEAfvjhB/zwww9VXl++fDmWL1+O69eva10vIiIioraqTfUZHDx4MEQiEQBgxYoVuHPnDq5fv47169cDqGhpHDBggLp8dHS0ejJpIiIiIqpKJNSnw10rUN2k05XmzJmDESNGqJ9HR0cjOTkZAGpt6VuyZAmWLl0KAPjggw8wevToJqwxERERUevV5lYgmT59Ojw8PLB27VrcvHkTYrEY/v7+GDduHPr06dPS1SMiIiJqU9pcyyARERERNZ021WeQiIiIiJoWw2Arc/LkSUyaNAndu3dXD35ZsmRJS1eLqEloc30rFAosXboUffv2RUBAAHr27IkFCxZoTCFF1Fo15TWemZmJ9957D926dUNAQACefvpprFq16lGeDukIhsFW5vLly4iJiYGFhUVLV4WoyWlzff/nP//BkiVLkJKSAhcXF2RnZ2PVqlV49dVXUV5e/ghrS1R/TXWNFxcXY/To0di8eTOKi4vh7OyMW7duYcGCBfjqq68e1emQjmAYbGWeffZZnD59Gr/99ltLV4WoydV1fV++fBnbtm0DAMyePRu7d+/G119/DQA4ceIE9u3b98jqStQQTXWNb9y4EfHx8RCJRNi4cSP27NmjXrFrxYoVGsuzEjUWw2ArY2VlBSMjo5auBlGzqOv6PnLkiPpxv379AAC9e/eGgYEBAOCvv/5q3goSNVJTXeOV5dzd3dG+fXuN8gqFAseOHWv6ypPOYhgkolYjNTVV/bhyaUmxWAwrKysAQEpKSovUi6ipaHuNV5Z7cIlVW1tb9WN+FqgpMQwSUavHGbDocffwNV7dNc/PATUXhkEiajUcHR3Vj7OysgAA5eXlyM3NrfI6UVuk7TXu5OSkUebhx/wsUFNiGCSiViMqKkr9+M8//wQAHDp0CHK5vMrrRG2Rttd45f9v376Na9euaZSXSCTo1q3bI6szPf64Akkr8+eff+Lzzz+HIAhISkoCAFhYWMDCwgKdOnXCF1980cI1JGo4ba7vGTNmYPv27RCLxfDw8EBSUhIUCgXCwsKwZs0aiMX8G5Zar6a6xouKijB06FAkJCTA0NAQDg4OSEhIAABMnjwZb731VgueJT1u2tzaxI+7wsJCJCYmamzLy8tDXl4eHBwcWqhWRE1Dm+t74cKFcHd3x9atW5GUlARLS0v0798fb775JoMgtXpNdY2bmJhg9erVWLx4MQ4dOoTk5GR4enpixIgReOmllx75edHjjS2DRERERDqMf2YTERER6TCGQSIiIiIdxjBIREREpMMYBomIiIh0GMMgERERkQ5jGCQiIiLSYQyDpHP8/Pzq/C86OrpR77F582b4+fnhzp079d531qxZjX7/pjRmzBiMGTOmpavRbIqLi/H222+jW7du8PPzw4IFC1q6Slrbt28ffvzxxyrbjx8/Dj8/Pxw/fly97aefflKvYNFUoqOjMXPmzCY73uN+rdWkuu+L6OhozJo1q97H+e2335q6ejr776JLOOk06ZyNGzdqPH/99dfh5+eHqVOnqrdJpdJGvUfv3r2xceNG2NnZ1XvfKVOm4N///nej3p+0t3btWuzYsQOffPIJPDw8IJPJWrpKWtu3bx+OHj2Kl19+WWO7v78/Nm7cCG9vb/W2VatWITQ0FP369XvU1dTaRx991NJVaDWWLl0KU1PTeu2zZcsWKJVKPP/8881UK3pcMQySzgkODtZ4LpVKYWVlVWX7g1QqFQRBgESi3UfG2toa1tbWDaqfm5tbg/Z7nCgUCkgkEohEomZ/r7i4ONjZ2WHw4MFNcryysrJG/zHRWKamprVez63Vg+G1rWiuf++OHTs2+TGJasLbxETV8PPzw5dffonly5cjOjoaAQEBuHHjBuRyOT755BMMHDgQISEh6NGjByZPnoxbt25p7F/TbZ+ZM2dix44dGDBgAIKDgzF06FCcOnVKY9+HbxPfuXMHfn5+2LBhA7766itERkYiPDwckydPxt27dzX2LSkpwUcffYSIiAiEhITgtddew5kzZ+Dn54fNmzfXed47duxA//79ERAQgGeeeQZ79+6ttlx2djY++ugjREVFISAgAP3796/S4goAR48exeDBgxEYGIgnn3wSv/76a43nt3btWvz3v/9FZGQkAgMDkZ+fD6BirdcXXngBQUFBCA8Px7Rp05CSklLlvX755RcMGjQIgYGBiIiIwH/+8x/k5ubWer6VP5fU1FR1F4HKW6txcXF47bXXEB4ejk6dOuGFF17AkSNHNPZfsmQJ/Pz8cOPGDYwbNw4hISF44403an3PEydO4KWXXkJISAiCg4Mxbtw43LhxQ6PMmDFjMHLkSBw9ehRDhgxBUFAQBg4ciH379qnLzJo1C1u2bEFaWlqV7g0P3yaOjo5GcnIy/vjjD3XZWbNmYffu3fDz88O1a9eq1HPMmDEYPnx4redS6ZdffsGTTz6JwMBADBkyBMeOHWvweT94O7LyPPbv34+5c+ciIiICXbt2xcyZM9XXR6Xs7GxMnz4doaGh6Ny5M9577z3s37+/yu3y6syaNQs9e/bEmTNn8NxzzyEwMBDR0dFYvXq1RrnKz/XJkycxbdo0hIeHY9iwYQAApVKJ77//Xv35iYyMxMKFCyGXyzWOkZSUhIkTJyIoKAhdu3bF/PnzUVZWVqVO1d0mTkpKwttvv40ePXogICAAffv2xfz589U/uxMnTqg/735+fho/y6SkJMyYMQNdu3ZFQEAAnn322Wo/39p+B9DjhS2DRDXYvHkzXF1d8e6778LIyAh2dnYoKytDUVERXn31VchkMuTl5WHdunUYPnw4du3aVectxtOnTyM+Ph5vvPEGDAwM8NVXX2Hy5Mk4cOAAzM3Na913+fLlCAkJwYIFC5CdnY2FCxdi5syZWLNmjbrMBx98gN27d2Pq1KkICAjAP//8o3WfrqNHj2LGjBno3bs3Zs2ahezsbCxYsABKpRKenp7qcoWFhRg5ciTkcjmmTp0KFxcXxMTE4OOPP0ZZWZn6F9DNmzcxceJEdOrUCV9++SXKysrw3XffoaCgoNo1hpctW4bAwEDMmzcPKpUKBgYGWL9+PT7++GMMHToUr732GoqKirBkyRKMHj0a27ZtU99GW7RoEX788UeMGTMG77zzDtLS0vC///0PsbGx2LBhA/T09Ko9540bN2LJkiW4fv06li5dCqCidSotLQ0vvvgiTExM8MEHH8DMzAxr167FpEmTsGzZMvTq1UvjOFOmTMHzzz+P8ePH17p+8qFDhzBlyhT06tULn3/+OQBg5cqVGDVqFLZt2wZHR0d12aSkJCxYsAATJ06ElZUVfvzxR0ybNg27du2Cu7s7pkyZguzsbFy8eBHfffcdgJq7NyxduhQTJ07U6A5hbW0NJycn2NnZYcOGDfj444/V5ePi4nDixAl8+umnNZ5LpZMnT+Ly5ct46623IJVKsWLFCkyYMAG///472rVrV+/zrs6CBQvQp08ffPHFF4iPj8fnn38OPT09fPbZZ+oyr7/+Om7cuIEZM2bAzc0Nf/75pzooaaOwsBBvvfUWJkyYADc3N+zcuRPz58+HiYkJhg4dqlF25syZeOaZZ/D1119DqVQCAN5++20cPHgQ48ePR2hoKG7duoWvvvoKycnJWLJkCYCKVsSXX34ZpaWl+PDDD2FjY4MNGzZoFbiSkpIwbNgwGBkZYerUqXB3d8fdu3fx119/Aai4xf72229DpVJh7ty5AKD+fKSmpuKFF16AjY0N3nvvPVhbW2Pnzp2YOnUqvvnmG/Tt2xeA9t8B9BgSiHRcnz59hBkzZmhs8/X1FXr06CGUlJTUuq9SqRSKi4uF4OBg4ccff1Rv37Rpk+Dr6yskJSVpvE94eLiQm5ur3nbhwgXB19dX2LZtm3rbu+++K/Tp00f9PCkpSfD19RVGjRql8d4rV64UfH19hbt37wqCIAi3bt0S/Pz8hOXLl2uUmzdvnuDr6yts2rSp1nMZPny4MGDAAEGlUqm3nTt3TvD19RVGjx6t3rZ06VIhICBAiI+P19h/9uzZQpcuXQSFQiEIgiBMnz5diIiIEIqLi9Vl0tLShICAgGrPb/DgwUJ5ebl6e2FhoRAaGirMmjVL432SkpIEf39/9c87KSlJaN++vbBkyRKNcqdOnRJ8fX2FvXv31nreM2bM0KiPIAjCwoULhQ4dOggJCQnqbUqlUujXr58wePBg9bavv/5a8PX1FX766ada36PSE088Ifz73//W2FZQUCB06dJFmD9/vnrb6NGjhY4dO2r8jDMzM4X27dsL3333nXrbu+++K0RFRVV5n2PHjgm+vr7CsWPH1Nuqu84rzyE0NFQoKipSb/vkk0+E8PDwOq//Pn36CP7+/kJycrLG+XTu3FmYOXNmg877wWut8jzeeecdjX3nzJkjBAQEqK+XmJgYwdfXV9ixY4dGuUmTJlX5OVTn3XffFXx9fYXt27drbB87dqzQu3dv9ftUfq4XLFigUe7kyZOCr6+vsGXLFo3tv//+u+Dr6ytcuXJFEARB2Lhxo+Dr6yucPXtWXUalUglPP/10td8X7777rvr522+/LQQHB6s/79UZPXq0MGLEiCrb33vvPSEiIkLIzs6ucn6DBg1SP9f2O4AeP7xNTFSDqKgoGBoaVtm+c+dODBs2DOHh4ejYsSOCg4NRXFyMuLi4Oo8ZHBwMCwsL9XM/Pz8AFX+51+Xh1ihfX1+NfS9cuABBENC/f3+Nck899VSdx1apVLh06RKeeuopjZatoKAgODs7a5SNiYlBUFAQXFxcoFQq1f9FRkYiNzcXN2/eBACcO3cOvXr1gpGRkXpfOzs7hISEVFuHvn37avQRPHfuHAoLCzFo0CCN93FwcICnp6f69vrRo0dRXl5epVxQUBBMTU1x8uTJOs//YSdPnkRQUBDc3d3V2/T09DBw4EBcvXoVhYWFGuWffPLJOo+ZkJCAxMRE/Otf/9Kop6GhIUJCQqp0F3B3d4eHh4f6uY2NDWxsbKq9Rd4YL7zwAkpLS7Fjxw4AgFwux9atW/Hss89We/0/LCgoCE5OTurnpqam6NWrF86dOweg/uddnequ/bKyMmRmZgKouFb09PSq/Ds8/FmojZ6eXpXBNU8//TRSUlKQlpamsf3h94mJiYG+vj769etX5TMBQH0Nnj17Fo6Ojhr9OcViMQYMGFBn/f7++2/07t0b9vb2Wp/Tg/Xr1asXzMzMqtTv2rVrKCwsrNd3AD1+eJuYqAbVjQQ+cOAA3nrrLQwZMgSvv/46rKysIBKJMHHixGr7/TzswSAI3L+t93C/oupYWlrWum96ejqAitDwoIefVycnJwcKhQK2trZVXnt4W3Z2Nm7fvg1/f/9qj1XZTy8jI6PaQTS2trbVTrnz8M87KysLADB27Nhq36fyZ1lZrqZAVle/werk5eWhQ4cOVbbb2tpCEATk5eVpjPTUZgRyZT1nz56N2bNnV3n9wUAFVL1WgIp/c22us/qwt7dH3759sX79egwbNgy7du1Cbm4uRowYodX+1V1ftra26gBV3/OuTl3XfkZGBszNzaGvr19n3WpS3f6V135aWhocHBzU2x/+987KyoJCoajxD50HPxPV1Umbeubm5mrUoT6ys7OxdetWbN26tdrXc3JyUFpaqvV3AD1+GAaJ6mHHjh1wd3fHwoUL1dsUCgXy8vJasFYVKsNUVlYWjI2N1dsrfxnXxsrKCvr6+uqWlgdlZmZqtAxYWlrC2tq62l/sANR9i2QyGbKzs6s9XnUeHjlcGQAWLlxY7ShTExMTjXI//PBDtf0uHw4S2rCwsKjxZyESiaoENW1GPVfWY8aMGejWrVuV1x8OIo/SyJEjMXbsWFy6dAkbN25EeHi41iN7q7u+MjMz1S1Yj+K8ZTIZ8vPzoVAoNI6nzbVfqbr9K6+Bh1vjqrtWDQwMsHbt2mqPXfnZlMlk6pbzB2n7GX24hVJblpaWCAsLw4QJE6p93d7eHnp6elp/B9Djh2GQqB5KS0urDEb4/fffoVKpWqhG93Xq1AkikQi7d+/W+NLfvXt3nfvq6ekhICAAe/bswdSpU9W3ic6fP4/k5GSNXwRRUVFYs2YNnJycam3RCA4OxuHDh1FSUqK+VZyeno4zZ85oNf9iaGgoTExMcPv2bQwZMqTGcj169IBYLEZKSgp69OhR53G10blzZ6xatQp37tyBi4sLgIpb6Tt37kTHjh3rPf8bALRr1w7Ozs6IjY3FxIkTm6SeUqlUq1ZloCJ01VS2W7du8PLywsKFC3HmzBksWrRI6zqcP38eqamp6kEghYWFOHz4sPrWbnOc98OCg4OhUqmwd+9ePP300+rt2lz7lVQqFf78808888wz6m07d+6Ek5NTnbdmo6KisGLFChQWFlYbeCuFhIRg8+bNOHfunPpWcXl5OXbt2lVn/Xr06IE///wT6enpNX5+pFIpioqKqq3f2bNn4ePjU+utf22/A+jxwzBIVA9RUVHYt28fPvnkE/Tp0weXLl3C6tWr6xwJ/Ci0a9cOAwcOxFdffQVBEODv749jx47h4MGDAFDrKFcAmDZtGl555RVMmTIFI0aMQHZ2NpYsWVLlltjYsWOxc+dOvPjiixg7diw8PT1RUlKCuLg4nDp1Sj2y9dVXX8WePXswbtw4vPLKK+rRxLa2tlq1pJmamuKdd97B3LlzkZ2djZ49e8LMzAxpaWk4efIkunTpgn/9619wc3PDhAkTMG/ePMTHx6NLly4wMDBAamoq/v77bwwbNgxdu3at189y7Nix2LJlC1555RVMnToVpqamWLduHRISEvD999/X61iVRCIRPvroI0yZMgUKhQIDBgyAlZUVMjMzcfbsWTg5OVWZPLouXl5eyM3Nxbp16xAQEAADAwN1P9SHeXt749SpUzh48CBsbW1hZWWlDroAMGLECCxYsABWVlZa9TOtZGNjo/45VY4mLi4uxpQpU5rtvB8WGRmJsLAwfPjhh8jJyYG7uzv27NmjnjKnrmsfqGhp/vzzz9X779ixA0ePHsXChQvrvF4jIiIwcOBATJs2DWPHjkWnTp0gFouRnJyMw4cPY+bMmfD09MTgwYOxfPlyvP7665g+fTpsbGywfv36Kn1QqzN16lQcOnQII0aMwOTJk+Hm5oa0tDTExMSow7uXlxfWrVuHnTt3wtXVFSYmJmjXrh2mTZuGYcOGYdSoURg9ejScnZ2Rn5+PGzduICkpST1qXNvvAHr8MAwS1cMLL7yA1NRUbNq0CRs3bkRgYCCWLVuG119/vaWrBgCYN28eTExMsHLlSigUCkRERODDDz/EpEmT6mzN6t69OxYtWoQlS5bg9ddfh7u7O/7zn/9g1apVGuXMzMywYcMGfPPNN1ixYgXS09NhZmYGT09PjQ743t7e+P777/Hf//4Xb775Juzt7TFhwgTExMQgOTlZq/MZMWIEHB0dsXLlSmzfvh1KpRL29vYIDw/X6NM3ffp0tGvXDuvWrcO6desgEong4OCAbt26aQzC0Ja9vT3WrVuHRYsWqafM6dChA77//nv07Nmz3ser1KtXL6xZswbLli3D+++/j9LSUshkMgQFBWm0aGlr2LBhOH/+PL788kvk5+fD2dkZBw4cqLbs9OnT8cEHH+DNN99EaWkphgwZotHdoX///li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degreehits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatecounthits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpinverse_harmonic_mean_rank_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
067.00.1740610.3959040.5119450.6177470.3234852930.0750850.1399320.2252560.2832760.141346430.0989760.2559730.2866890.3344710.182140
161.00.1939160.3422050.4258560.5817490.3059052630.0380230.0722430.1330800.2281370.085021460.1558940.2699620.2927760.3536120.220883
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" + ], + "text/plain": [ + " degree hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 67.0 0.174061 0.395904 0.511945 \n", + "1 61.0 0.193916 0.342205 0.425856 \n", + "2 7.0 0.090008 0.172387 0.217391 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate count \\\n", + "0 0.617747 0.323485 293 \n", + "1 0.581749 0.305905 263 \n", + "2 0.282990 0.152639 1311 \n", + "\n", + " hits_at_1_bioblp hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.075085 0.139932 0.225256 0.283276 \n", + "1 0.038023 0.072243 0.133080 0.228137 \n", + "2 0.028223 0.031274 0.032799 0.034325 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.141346 43 0.098976 0.255973 \n", + "1 0.085021 46 0.155894 0.269962 \n", + "2 0.030723 905 0.061785 0.141114 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.286689 0.334471 0.182140 \n", + "1 0.292776 0.353612 0.220883 \n", + "2 0.184592 0.248665 0.121916 " + ] + }, + "execution_count": 253, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", + "BIOBLP_MODEL_ID = BIOBLP_P\n", + "ROTATE_MODEL_ID = ROTATE\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "merged_bioblpp_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][BIOBLP_MODEL_ID],\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_ent_w_attr_df,\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK,\n", + " plot_title=False) \n", + "merged_bioblpp_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 251, + "id": "fd1a5cd7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 429.0 80 0.062500 0.150000 0.187500 \n", + "1 269.0 27 0.000000 0.074074 0.148148 \n", + "2 733.0 92 0.097826 0.271739 0.347826 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblp \\\n", + "0 0.375000 0.147620 0.05 \n", + "1 0.296296 0.084560 0.00 \n", + "2 0.500000 0.219906 0.00 \n", + "\n", + " hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.06250 0.062500 0.087500 \n", + "1 0.00000 0.037037 0.037037 \n", + "2 0.01087 0.021739 0.054348 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.071328 4 0.012500 0.087500 \n", + "1 0.027240 7 0.000000 0.074074 \n", + "2 0.018369 1 0.097826 0.260870 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.125000 0.287500 0.076292 \n", + "1 0.111111 0.259259 0.057320 \n", + "2 0.326087 0.445652 0.201537 " + ] + }, + "execution_count": 251, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", + "BIOBLP_MODEL_ID = BIOBLP_M\n", + "ROTATE_MODEL_ID = ROTATE\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "\n", + "merged_bioblpm_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][BIOBLP_MODEL_ID],\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],#test_triples_ent_w_attr_df,\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=INVERSE_HARMONIC_MEAN_RANK,\n", + " plot_title=False) \n", + "merged_bioblpm_rotate_df[:3]" + ] + }, + { + "cell_type": "markdown", + "id": "e98c5906", + "metadata": {}, + "source": [ + "**DO NOT USE THE BIOBLP_D, USE THE BIOBLP_D_OLD VARIANT DEMONSTRATED AFTER THE IMMEDIATE CELL**" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "fae819b0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PROTEIN_DISEASE_ASSOCIATION 9760\n", + "DRUG_DISEASE_ASSOCIATION 6749\n", + "DISEASE_PATHWAY_ASSOCIATION 293\n", + "DISEASE_GENETIC_DISORDER 261\n", + "Name: rel, dtype: int64" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_triples_ent_w_attr_df.rel.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c75af240", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "ec1b46bb", + "metadata": {}, + "source": [ + "### Predicting 'partner' entity, against 'partner' entity degree" + ] + }, + { + "cell_type": "code", + "execution_count": 241, + "id": "eef29a23", + "metadata": {}, + "outputs": [], + "source": [ + "eval_out_file_bioblpd_expt = './metrics/bioblpd-38uz9fjs-16-03-2023/20230425-073317/node-degree-eval.json'\n", + "with open(eval_out_file_bioblpd_expt, 'r') as f:\n", + " results_by_node_degree_dicts_bioblpd_expt = json.load(f)\n", + " \n", + "eval_out_file_rotate_disease_expt = './metrics/rotate-otxtubeb/20230425-083758/node-degree-eval.json'\n", + "with open(eval_out_file_rotate_disease_expt, 'r') as f:\n", + " results_by_node_degree_dicts_rotate_disease_expt = json.load(f) " + ] + }, + { + "cell_type": "code", + "execution_count": 250, + "id": "0c334a35", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpinverse_harmonic_mean_rank_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 464.0 46 0.260870 0.413043 0.413043 \n", + "1 56.0 72 0.027778 0.069444 0.083333 \n", + "2 180.0 27 0.074074 0.185185 0.222222 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblp \\\n", + "0 0.434783 0.357222 0.108696 \n", + "1 0.208333 0.077358 0.041667 \n", + "2 0.444444 0.179837 0.111111 \n", + "\n", + " hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.195652 0.217391 0.239130 \n", + "1 0.097222 0.152778 0.194444 \n", + "2 0.259259 0.259259 0.333333 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.162678 0 0.152174 0.217391 \n", + "1 0.091676 24 -0.013889 -0.027778 \n", + "2 0.203343 3 -0.037037 -0.074074 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.195652 0.195652 0.194544 \n", + "1 -0.069444 0.013889 -0.014317 \n", + "2 -0.037037 0.111111 -0.023506 " + ] + }, + "execution_count": 250, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "BIOBLP_MODEL_ID = BIOBLP_D\n", + "ROTATE_MODEL_ID = ROTATE\n", + "METRIC_TO_PLOT = INVERSE_HARMONIC_MEAN_RANK\n", + "\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpd_expt,\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_by_node_degree_dicts_rotate_disease_expt,\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint='tail',\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=METRIC_TO_PLOT,\n", + " plot_title=False) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "a0838f59", + "metadata": {}, + "outputs": [], + "source": [ + "eval_out_file_bioblpp_expt = './metrics/rotate-bioblp-p-4o6x9h96/20230425-105626/node-degree-eval.json'\n", + "with open(eval_out_file_bioblpp_expt, 'r') as f:\n", + " results_by_node_degree_dicts_bioblpp_expt = json.load(f)\n", + " \n", + "eval_out_file_rotate_prot_expt = './metrics/rotate-otxtubeb/20230425-173731/node-degree-eval.json'\n", + "with open(eval_out_file_rotate_prot_expt, 'r') as f:\n", + " results_by_node_degree_dicts_rotate_prot_expt = json.load(f) " + ] + }, + { + "cell_type": "code", + "execution_count": 248, + "id": "f49d15ff", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatehits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpinverse_harmonic_mean_rank_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 59.0 262 0.202290 0.385496 0.477099 \n", + "1 23.0 613 0.200653 0.394780 0.491028 \n", + "2 60.0 243 0.246914 0.407407 0.506173 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblp \\\n", + "0 0.572519 0.323075 0.030534 \n", + "1 0.613377 0.332018 0.034258 \n", + "2 0.600823 0.359856 0.053498 \n", + "\n", + " hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.091603 0.118321 0.160305 \n", + "1 0.058728 0.092985 0.148450 \n", + "2 0.115226 0.156379 0.197531 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.076199 53 0.171756 0.293893 \n", + "1 0.071970 229 0.166395 0.336052 \n", + "2 0.101204 44 0.193416 0.292181 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.358779 0.412214 0.246876 \n", + "1 0.398042 0.464927 0.260049 \n", + "2 0.349794 0.403292 0.258652 " + ] + }, + "execution_count": 248, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = PROTEIN\n", + "BIOBLP_MODEL_ID = BIOBLP_P\n", + "ROTATE_MODEL_ID = ROTATE\n", + "METRIC_TO_PLOT = INVERSE_HARMONIC_MEAN_RANK\n", + "\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpp_expt,\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_by_node_degree_dicts_rotate_prot_expt,\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint='tail',\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=METRIC_TO_PLOT,\n", + " plot_title=False\n", + " ) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "3c4eb687", + "metadata": {}, + "outputs": [], + "source": [ + "eval_out_file_bioblpm_expt = './metrics/rotate-bioblp-m-1r75g9na/20230426-045049/node-degree-eval.json'\n", + "with open(eval_out_file_bioblpm_expt, 'r') as f:\n", + " results_by_node_degree_dicts_bioblpm_expt = json.load(f)\n", + " \n", + "eval_out_file_rotate_drug_expt = './metrics/rotate-otxtubeb/20230425-225516/node-degree-eval.json'\n", + "with open(eval_out_file_rotate_drug_expt, 'r') as f:\n", + " results_by_node_degree_dicts_rotate_drug_expt = json.load(f) " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "fe99dc28", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 796.0 122 0.024590 0.065574 0.090164 \n", + "1 569.0 344 0.020349 0.061047 0.110465 \n", + "2 1413.0 66 0.000000 0.030303 0.075758 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate hits_at_1_bioblp \\\n", + "0 0.131148 0.073719 0.0 \n", + "1 0.255814 0.092142 0.0 \n", + "2 0.121212 0.052167 0.0 \n", + "\n", + " hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.000000 0.000000 0.00000 \n", + "1 0.008721 0.011628 0.02907 \n", + "2 0.000000 0.000000 0.00000 \n", + "\n", + " inverse_harmonic_mean_rank_bioblp num_unique_ents hits_at_1 hits_at_3 \\\n", + "0 0.002652 4 0.024590 0.065574 \n", + "1 0.019130 7 0.020349 0.052326 \n", + "2 0.000571 2 0.000000 0.030303 \n", + "\n", + " hits_at_5 hits_at_10 inverse_harmonic_mean_rank \n", + "0 0.090164 0.131148 0.071067 \n", + "1 0.098837 0.226744 0.073012 \n", + "2 0.075758 0.121212 0.051596 " + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DRUG\n", + "BIOBLP_MODEL_ID = BIOBLP_M\n", + "ROTATE_MODEL_ID = ROTATE\n", + "METRIC_TO_PLOT = INVERSE_HARMONIC_MEAN_RANK\n", + "\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "merged_bioblpm_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpm_expt,\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_by_node_degree_dicts_rotate_drug_expt,\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint='tail',\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=METRIC_TO_PLOT,\n", + " plot_title=False\n", + " ) \n", + "merged_bioblpm_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "410a504a", + "metadata": {}, + "outputs": [], + "source": [ + "eval_out_file_bioblpd_old = './metrics/bioblpd-38uz9fjs/node-degree-eval.json'\n", + "eval_out_file_bioblpd_old = './metrics/node_degree_eval_lp/spotlight_ent_as_src/node-degree-eval-bioblpd-38uz9fjs-spotlight-disease-as-src.json'\n", + "with open(eval_out_file_bioblpd_old, 'r') as f:\n", + " results_by_node_degree_dicts_bioblpd_old = json.load(f)\n", + " \n", + "eval_out_file_rotate_disease_as_src = './metrics/node_degree_eval_lp/spotlight_ent_as_src/node-degree-eval-rotate-otxtubeb-spotlight-disease-as-src.json'\n", + "with open(eval_out_file_rotate_disease_as_src, 'r') as f:\n", + " results_by_node_degree_dicts_rotate_disease_src = json.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 249, + "id": "864fe6b5", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstructing all label-based triples. This is expensive and rarely needed.\n", + "Reconstructing all label-based triples. This is expensive and rarely needed.\n" + ] + }, + { + "data": { + "image/png": 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degreecounthits_at_1_rotatehits_at_3_rotatehits_at_5_rotatehits_at_10_rotateinverse_harmonic_mean_rank_rotatearithmetic_mean_rankadjusted_arithmetic_mean_rankinverse_harmonic_mean_rank_bioblphits_at_1_bioblphits_at_3_bioblphits_at_5_bioblphits_at_10_bioblpnum_unique_entshits_at_1hits_at_3hits_at_5hits_at_10inverse_harmonic_mean_rank
0148.0260.1153850.2692310.3461540.4615380.227222546.2619020.0103060.0762150.0476190.0476190.0714290.14285740.0677660.2216120.2747250.3186810.151008
14.02910.0206190.0274910.0378010.0378010.028698601.1842040.0113420.0899210.0526320.0986840.1052630.164474254-0.032013-0.071193-0.067462-0.126673-0.061223
22.02070.0000000.0000000.0000000.0048310.002660751.2898560.0141750.0407920.0072460.0507250.0724640.108696189-0.007246-0.050725-0.072464-0.103865-0.038132
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" + ], + "text/plain": [ + " degree count hits_at_1_rotate hits_at_3_rotate hits_at_5_rotate \\\n", + "0 148.0 26 0.115385 0.269231 0.346154 \n", + "1 4.0 291 0.020619 0.027491 0.037801 \n", + "2 2.0 207 0.000000 0.000000 0.000000 \n", + "\n", + " hits_at_10_rotate inverse_harmonic_mean_rank_rotate arithmetic_mean_rank \\\n", + "0 0.461538 0.227222 546.261902 \n", + "1 0.037801 0.028698 601.184204 \n", + "2 0.004831 0.002660 751.289856 \n", + "\n", + " adjusted_arithmetic_mean_rank inverse_harmonic_mean_rank_bioblp \\\n", + "0 0.010306 0.076215 \n", + "1 0.011342 0.089921 \n", + "2 0.014175 0.040792 \n", + "\n", + " hits_at_1_bioblp hits_at_3_bioblp hits_at_5_bioblp hits_at_10_bioblp \\\n", + "0 0.047619 0.047619 0.071429 0.142857 \n", + "1 0.052632 0.098684 0.105263 0.164474 \n", + "2 0.007246 0.050725 0.072464 0.108696 \n", + "\n", + " num_unique_ents hits_at_1 hits_at_3 hits_at_5 hits_at_10 \\\n", + "0 4 0.067766 0.221612 0.274725 0.318681 \n", + "1 254 -0.032013 -0.071193 -0.067462 -0.126673 \n", + "2 189 -0.007246 -0.050725 -0.072464 -0.103865 \n", + "\n", + " inverse_harmonic_mean_rank \n", + "0 0.151008 \n", + "1 -0.061223 \n", + "2 -0.038132 " + ] + }, + "execution_count": 249, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "BIOBLP_MODEL_ID = BIOBLP_D_old\n", + "ROTATE_MODEL_ID = ROTATE\n", + "METRIC_TO_PLOT = INVERSE_HARMONIC_MEAN_RANK\n", + "\n", + "\n", + "test_triples_incl_ent_prop = triples_dict.get(ENT_SPECIFIC_TEST_SET_STUBS.get(ENTITY_TYPE_W_ATTR_ENCODE))\n", + "\n", + "nde = NodeDegreeEvalAnalyser(train_triples=train,\n", + " rels_assoc_by_node_endpoint_type_dict=ENT_ASSOC_REL_NAMES)\n", + "test_triples_ent_w_attr_df = nde.prep_test_data(test_triples_incl_ent_prop)\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpd_old,\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_by_node_degree_dicts_rotate_disease_src,\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=METRIC_TO_PLOT) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b91ee707", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "ae7a5e00", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'results_by_node_degree_dicts_bioblpd_old' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 16\u001b[0m\n\u001b[1;32m 4\u001b[0m METRIC_TO_PLOT \u001b[38;5;241m=\u001b[39m INVERSE_HARMONIC_MEAN_RANK\n\u001b[1;32m 7\u001b[0m test_triples_by_node_endpoint_to_predict \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 8\u001b[0m node_endpoint: nde\u001b[38;5;241m.\u001b[39m_create_test_df_subset_given_node_endpoint_type_to_predict(\n\u001b[1;32m 9\u001b[0m test_df\u001b[38;5;241m=\u001b[39mtest_triples_ent_w_attr_df, \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 12\u001b[0m ) \u001b[38;5;28;01mfor\u001b[39;00m node_endpoint \u001b[38;5;129;01min\u001b[39;00m [COL_SOURCE, COL_TARGET]\n\u001b[1;32m 13\u001b[0m }\n\u001b[1;32m 15\u001b[0m merged_bioblpd_rotate_df \u001b[38;5;241m=\u001b[39m merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id\u001b[38;5;241m=\u001b[39mBIOBLP_MODEL_ID,\n\u001b[0;32m---> 16\u001b[0m bioblp_eval_results\u001b[38;5;241m=\u001b[39m\u001b[43mresults_by_node_degree_dicts_bioblpd_old\u001b[49m,\n\u001b[1;32m 17\u001b[0m rotate_model_id\u001b[38;5;241m=\u001b[39mROTATE_MODEL_ID,\n\u001b[1;32m 18\u001b[0m rotate_eval_results\u001b[38;5;241m=\u001b[39mresults_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n\u001b[1;32m 19\u001b[0m node_endpoint_type_for_entity_w_attribute\u001b[38;5;241m=\u001b[39mCOL_SOURCE,\n\u001b[1;32m 20\u001b[0m eval_on_node_endpoint\u001b[38;5;241m=\u001b[39mEVAL_NODE_HEAD,\n\u001b[1;32m 21\u001b[0m test_triples\u001b[38;5;241m=\u001b[39mtest_triples_by_node_endpoint_to_predict[COL_SOURCE],\n\u001b[1;32m 22\u001b[0m entity_type_w_attr_encoded\u001b[38;5;241m=\u001b[39mENTITY_TYPE_W_ATTR_ENCODE,\n\u001b[1;32m 23\u001b[0m metric_name\u001b[38;5;241m=\u001b[39mMETRIC_TO_PLOT) \n\u001b[1;32m 24\u001b[0m merged_bioblpd_rotate_df[:\u001b[38;5;241m3\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'results_by_node_degree_dicts_bioblpd_old' is not defined" + ] + } + ], + "source": [ + "ENTITY_TYPE_W_ATTR_ENCODE = DISEASE\n", + "BIOBLP_MODEL_ID = BIOBLP_D_old\n", + "ROTATE_MODEL_ID = ROTATE\n", + "METRIC_TO_PLOT = INVERSE_HARMONIC_MEAN_RANK\n", + "\n", + "\n", + "test_triples_by_node_endpoint_to_predict = {\n", + " node_endpoint: nde._create_test_df_subset_given_node_endpoint_type_to_predict(\n", + " test_df=test_triples_ent_w_attr_df, \n", + " entity_type_to_predict = ENTITY_TYPE_W_ATTR_ENCODE,\n", + " node_endpoint_to_predict=node_endpoint,\n", + " ) for node_endpoint in [COL_SOURCE, COL_TARGET]\n", + "}\n", + "\n", + "merged_bioblpd_rotate_df = merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id=BIOBLP_MODEL_ID,\n", + " bioblp_eval_results=results_by_node_degree_dicts_bioblpd_old,\n", + " rotate_model_id=ROTATE_MODEL_ID,\n", + " rotate_eval_results=results_dicts[ENTITY_TYPE_W_ATTR_ENCODE][ROTATE_MODEL_ID],\n", + " node_endpoint_type_for_entity_w_attribute=COL_SOURCE,\n", + " eval_on_node_endpoint=EVAL_NODE_HEAD,\n", + " test_triples=test_triples_by_node_endpoint_to_predict[COL_SOURCE],\n", + " entity_type_w_attr_encoded=ENTITY_TYPE_W_ATTR_ENCODE,\n", + " metric_name=METRIC_TO_PLOT) \n", + "merged_bioblpd_rotate_df[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3f600bff", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 208, + "id": "a243580d", + "metadata": {}, + "outputs": [], + "source": [ + "### plot metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "0700937d", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_single_model\n", + "from nb_utils.plot_utils import plot_metric_vs_degree_scatterplot_multi_models\n", + "\n", + "img_outdir = Path('./data/imgs/')\n" + ] + }, + { + "cell_type": "markdown", + "id": "e970abda", + "metadata": {}, + "source": [ + "note,not all the cells have been amended after changing the structure of the eval results dictionary to store 'head', 'tail', 'both', results,\n", + "so if you face an error whilst plotting, try accessing the dictionaries at the 'head', 'tail', or 'both' keys of the results_dictionaries directly. E.g. results_by_node_degree_dicts_rotate_drug['head'] insetead of 'tail'\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "fc5db6ee", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'results_by_node_degree_dicts_rotate_prot' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[26], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./data/imgs/node-degree-analysis-rotate-and-bioblpp\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 2\u001b[0m model_result_dicts \u001b[38;5;241m=\u001b[39m {ROTATE: \u001b[43mresults_by_node_degree_dicts_rotate_prot\u001b[49m[EVAL_NODE_HEAD],\n\u001b[1;32m 3\u001b[0m BIOBLP_P: results_by_node_degree_dicts_bioblpp[EVAL_NODE_HEAD]}\u001b[38;5;66;03m#results_by_node_degree_dicts_bioblp}\u001b[39;00m\n\u001b[1;32m 4\u001b[0m x \u001b[38;5;241m=\u001b[39m plot_metric_vs_degree_scatterplot_multi_models(metric_name\u001b[38;5;241m=\u001b[39mHITS_AT_10, results_by_node_degree_dicts_combined\u001b[38;5;241m=\u001b[39mmodel_result_dicts,\n\u001b[1;32m 5\u001b[0m eval_out_dir\u001b[38;5;241m=\u001b[39mEVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n", + "\u001b[0;31mNameError\u001b[0m: name 'results_by_node_degree_dicts_rotate_prot' is not defined" + ] + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_prot[EVAL_NODE_HEAD],\n", + " BIOBLP_P: results_by_node_degree_dicts_bioblpp[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_10, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "4ef677f7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_1, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "09a080d5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpp\"\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=INVERSE_HARMONIC_MEAN_RANK, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "27f578fc", + "metadata": {}, + "outputs": [], + "source": [ + "#molecules" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "955a2f72", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_1, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "c7bbf994", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=HITS_AT_10, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 239, + "id": "5b90d729", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS = \"./data/imgs/node-degree-analysis-rotate-and-bioblpm\"\n", + "model_result_dicts = {ROTATE: results_by_node_degree_dicts_rotate_drug[EVAL_NODE_HEAD],\n", + " BIOBLP_M: results_by_node_degree_dicts_bioblpm[EVAL_NODE_HEAD]}#results_by_node_degree_dicts_bioblp}\n", + "x = plot_metric_vs_degree_scatterplot_multi_models(metric_name=INVERSE_HARMONIC_MEAN_RANK, results_by_node_degree_dicts_combined=model_result_dicts,\n", + " eval_out_dir=EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c3176e8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "75ca49e0", + "metadata": {}, + "source": [ + "\n", + "#### previous stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "79596779", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wandb.login()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "ee28a661", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.14.0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /home/jovyan/BioBLP/notebooks/wandb/run-20230324_173738-akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run cerulean-moon-114 to Weights & Biases (docs)
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View project at https://wandb.ai/discoverylab/bioblp-jupyter-trial" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View run at https://wandb.ai/discoverylab/bioblp-jupyter-trial/runs/akwag7r0" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tags = {\"model_name\": BIOBLP_M),\n", + " \"study_name\": 'node_degree_trends_both_models_combined',\n", + " \"test_set_type\": TEST_RESTRICTED_ENT}\n", + "run = setup_wandb_result_tracker(**tags, \n", + " notes=f'combined lp results for {BIOBLP_M)} and {MODELS.get(ROTATE)}', \n", + " project_name='bioblp-jupyter-trial',\n", + " wandb_entity='discoverylab')" + ] + }, + { + "cell_type": "markdown", + "id": "e3772f6a", + "metadata": {}, + "source": [ + "Save custom plots to Weights and biases" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "857acc04", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20230324-173105-hits_at_1_node_degree_analysis-rotate-otxtubeb-20230324-173105.png\n", + "20230324-173137-hits_at_10_node_degree_analysis-rotate-otxtubeb-20230324-173137.png\n", + "20230324-173248-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-20230324-173248.png\n", + "20230324-173341-hits_at_1_node_degree_analysis-bioblpp-cttc3ucm-20230324-173341.png\n", + "20230324-173404-hits_at_10_node_degree_analysis-bioblpp-cttc3ucm-20230324-173404.png\n", + "20230324-173426-inverse_harmonic_mean_rank_node_degree_analysis-bioblpp-cttc3ucm-20230324-173426.png\n", + "20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n", + "20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\n" + ] + } + ], + "source": [ + "!ls {EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "d862ce8e", + "metadata": {}, + "outputs": [], + "source": [ + "#degree_analysis_hits_at_1_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174539-hits_at_1_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "#degree_analysis_hits_at_10_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174536-hits_at_10_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "degree_analysis_mrr_rotate_and_bioblpp_path = f\"{EVAL_OUT_DIR_NODE_DEGREE_ANALYSIS}/20230324-174518-inverse_harmonic_mean_rank_node_degree_analysis-rotate-otxtubeb-bioblpp-cttc3ucm.png\"\n", + "\n", + "wandb.log({\"hits@1_combined_bioblpm_rotate\": wandb.Image(degree_analysis_hits_at_1_rotate_and_bioblpm_path)})\n", + "wandb.log({\"hits@10_combined_bioblpm_rotate\": wandb.Image(degree_analysis_hits_at_10_rotate_and_bioblpm_path)})\n", + "wandb.log({\"mrr_combined_bioblpm_rotate\": wandb.Image(degree_analysis_mrr_rotate_and_bioblpm_path)})" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bioblp-env", + "language": "python", + "name": "bioblp-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/nb_utils/artifact_registry.toml b/notebooks/nb_utils/artifact_registry.toml index 7ec9a15..6ec97a5 100644 --- a/notebooks/nb_utils/artifact_registry.toml +++ b/notebooks/nb_utils/artifact_registry.toml @@ -1,4 +1,4 @@ -model_registry_root_dir = "../models" +model_registry_root_dir = "/home/jovyan/workbench-shared-folder/bioblp/models"#"../models" #test_set_lists = ['test', 'valid'] [biokgb_graph] diff --git a/notebooks/nb_utils/eval_utils.py b/notebooks/nb_utils/eval_utils.py index 9a74ad9..625eeab 100644 --- a/notebooks/nb_utils/eval_utils.py +++ b/notebooks/nb_utils/eval_utils.py @@ -93,10 +93,10 @@ # todo infer this programmatically, but it might require iterating through all entities ENT_ASSOC_REL_NAMES = { - DISEASE: {COL_SOURCE: [PROTEIN_DISEASE_ASSOCIATION, - DRUG_DISEASE_ASSOCIATION], - COL_TARGET: [DISEASE_PATHWAY_ASSOCIATION, - DISEASE_GENETIC_DISORDER] + DISEASE: {COL_SOURCE: [DISEASE_PATHWAY_ASSOCIATION, + DISEASE_GENETIC_DISORDER], + COL_TARGET: [PROTEIN_DISEASE_ASSOCIATION, + DRUG_DISEASE_ASSOCIATION] }, PROTEIN: {COL_SOURCE: [MEMBER_OF_COMPLEX, PPI, @@ -364,7 +364,7 @@ def create_entity_attr_aware_test_sets(entity_type_w_attribute: str, # create a subset of biokg entities of type {entity_type_w_attribute} entities = pd.read_csv(entity_metadata_path, sep="\t", names=[entity_type_w_attribute, COL_EDGE, "node_type"]) entity_set = set(entities[entity_type_w_attribute].values) - print(f"# {entity_type_w_attribute} entities in larger biokg (pre-benchmark removal): {len(entity_set)}") + print(f"# {entity_type_w_attribute} entities in larger biokg metadata files:(pre-benchmark removal): {len(entity_set)}") # create a set of {entity_type_w_attribute} entities for which we have attr descriptions (e.g.: text for Diseases) # TODO: Currently a quick hack. Standardise input reading @@ -486,8 +486,8 @@ def _compute_train_node_degree(self, train_triples): def prep_test_data(self, test_triples): # now bucket the test triples according to node degree test_triples_with_degree_df = pd.DataFrame(test_triples.triples, columns=[COL_SOURCE, COL_EDGE, COL_TARGET]) - test_triples_with_degree_df["src_training_degree"] = test_triples_with_degree_df[COL_SOURCE].apply(lambda node: self.node_train_degree_dict.get(node, 0)) - test_triples_with_degree_df["tgt_training_degree"] = test_triples_with_degree_df[COL_TARGET].apply(lambda node: self.node_train_degree_dict.get(node, 0)) + test_triples_with_degree_df[f"{COL_SOURCE}_training_degree"] = test_triples_with_degree_df[COL_SOURCE].apply(lambda node: self.node_train_degree_dict.get(node, 0)) + test_triples_with_degree_df[f"{COL_TARGET}_training_degree"] = test_triples_with_degree_df[COL_TARGET].apply(lambda node: self.node_train_degree_dict.get(node, 0)) return test_triples_with_degree_df def evaluate(self, @@ -510,7 +510,7 @@ def evaluate(self, test_triples_w_node_degree_df=test_triples_with_degree_subset_df, test_set_slug=test_set_slug, entity_type_to_predict=entity_type_to_predict, - node_endpoint_type=node_endpoint_to_predict, + node_endpoint_type=node_endpoint_to_predict, train_triples=train_triples, valid_triples=valid_triples, rels_assoc_by_node_endpoint_type_dict=self.rels_assoc_by_node_endpoint_type_dict, @@ -642,11 +642,50 @@ def compute_metrics_over_triples_with_ent_node_endpoint(model_id, model_registry_cfg: ModelRegistryConfig, ): col_node_degree = f"{node_endpoint_type}_training_degree" # if predicting head, this should be the 'src_training_degree' - evaluator = RankBasedEvaluator(filtered=True) - #if evaluator.batch_size<32: - #evaluator.batch_size=32 - print(f"eval batch size: {evaluator.batch_size}") + evaluator = RankBasedEvaluator(filtered=True) + + model_base_path = model_registry_cfg.registered_model_paths.get(model_id) + model = load_kge_model(model_base_path=model_base_path) + print(f'loaded model from {str(model_base_path)}') + additional_filter_triples = obtain_filtered_triples(test_type=test_set_slug, + train_triples=train_triples, + valid_triples=valid_triples + ) + test_triples_with_ent_node_endpoint_df = test_triples_w_node_degree_df.loc[test_triples_w_node_degree_df[COL_EDGE].isin( + rels_assoc_by_node_endpoint_type_dict.get(entity_type_to_predict)[node_endpoint_type])] + ent_degree_values = test_triples_with_ent_node_endpoint_df[col_node_degree].unique() + result_dicts = [] + + for degree_val in tqdm(ent_degree_values): + df_subset = test_triples_with_ent_node_endpoint_df.loc[test_triples_with_ent_node_endpoint_df[col_node_degree]==degree_val][[COL_SOURCE, COL_EDGE, COL_TARGET]] + triples_subset = df_subset.values + triples_subset = TriplesFactory.from_labeled_triples(triples_subset, + relation_to_id=train_triples.relation_to_id, + entity_to_id=train_triples.entity_to_id) + if triples_subset.num_triples > 0: + subset_result = evaluator.evaluate(model, + triples_subset.mapped_triples, + additional_filter_triples=additional_filter_triples, + use_tqdm=False) + result_dicts.append({'ent_degree': degree_val, 'results': subset_result, 'relation': 'All', 'count': triples_subset.num_triples}) + return result_dicts + + +def compute_metrics_over_triples_with_ent_node_endpoint_partner(model_id, + test_triples_w_node_degree_df, + test_set_slug, + node_endpoint_type, + train_triples, + valid_triples, + entity_type_to_predict, + rels_assoc_by_node_endpoint_type_dict, + model_registry_cfg: ModelRegistryConfig, +): + col_node_degree = f"{node_endpoint_type}_training_degree" # if predicting head, this should be the 'src_training_degree' + print('HARD CODED for an experiment, correct @line 645 compute_metrics_over_triples_with_ent_node_endpoint') + col_node_degree = f"{COL_TARGET}_training_degree" # if predicting head, this should be the 'src_training_degree' + evaluator = RankBasedEvaluator(filtered=True) model_base_path = model_registry_cfg.registered_model_paths.get(model_id) model = load_kge_model(model_base_path=model_base_path) diff --git a/notebooks/nb_utils/plot_utils.py b/notebooks/nb_utils/plot_utils.py index 73e070b..7bf596a 100644 --- a/notebooks/nb_utils/plot_utils.py +++ b/notebooks/nb_utils/plot_utils.py @@ -91,7 +91,8 @@ def merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id= eval_on_node_endpoint=EVAL_NODE_HEAD, test_triples=None, entity_type_w_attr_encoded=None, - metric_name=INVERSE_HARMONIC_MEAN_RANK + metric_name=INVERSE_HARMONIC_MEAN_RANK, + plot_title=True ): merged_results_df = prep_data_for_node_degree_lp_multi_model_diff_plot(bioblp_model_id=bioblp_model_id, bioblp_eval_results=bioblp_eval_results, @@ -107,7 +108,8 @@ def merge_and_plot_node_degree_analysis_multimodel_lp_eval_diff(bioblp_model_id= bioblp_model_id=bioblp_model_id, rotate_model_id=rotate_model_id, eval_on_node_endpoint=eval_on_node_endpoint, - node_endpoint_type_for_entity_w_attribute=node_endpoint_type_for_entity_w_attribute, metric_name=metric_name) + node_endpoint_type_for_entity_w_attribute=node_endpoint_type_for_entity_w_attribute, metric_name=metric_name, + plot_title=plot_title) return merged_results_df @@ -167,13 +169,17 @@ def plot_node_degree_analysis_multimodel_lp_eval_diff(merged_results_df, plot, ax = plt.subplots(figsize=(10,10)) s_square = [n*n for n in num_unique_ents] - plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(10,250)) - plt.xscale('log') - plt.ylabel('\u0394 MRR', fontsize=15) - plt.xlabel(f'Training degree for entity being predicted', fontsize=14) + plot_ = sns.scatterplot(ax = ax, x=degrees, y=metrics, size=num_unique_ents, sizes=(20,200)) + + plt.ylabel('\u0394 MRR', fontsize=17) + plt.ylabel('\u0394 MRR', fontsize=17) + ax.set_ylim([-0.4, 1]) + plt.xscale('log') + plt.xlabel(f'Training degree for entity being predicted', fontsize=16) + # x axis ticks - plt.xticks(degrees, rotation='horizontal', fontsize=12) + plt.xticks(degrees, rotation='horizontal', fontsize=14) def myLogFormat(y,pos): # Find the number of decimal places required decimalplaces = int(np.maximum(-np.log10(y),0)) # =0 for numbers >=1 @@ -185,11 +191,11 @@ def myLogFormat(y,pos): # plot_.xaxis.set_major_locator(ticker.IndexLocator(100, 0)) plot_.xaxis.set_major_locator(ticker.LogLocator()) plot_.xaxis.set_major_formatter(ticker.FuncFormatter(myLogFormat)) - plot_.legend(title='Unique test entities\n at each node degree', loc='upper right', prop={'size': 12}, title_fontsize=12) + plot_.legend(title='Unique test entities\n at each node degree', loc='upper right', prop={'size': 12}, title_fontsize=14) plt.grid(axis='y', color='0.5') if plot_title: - plt.title(f'\u0394 MRR between {rotate_model_id} and {bioblp_model_id} when predicting {entity_type_w_attr_encoded} entity head at different node degree buckets') + plt.title(f'\u0394 MRR between {rotate_model_id} and {bioblp_model_id} predicting {eval_on_node_endpoint}') if metric_name == INVERSE_HARMONIC_MEAN_RANK: metric_name = 'mrr'