From 7aefda6874afee94c0993839b5a052d21156561b Mon Sep 17 00:00:00 2001 From: Nicholas Landry Date: Thu, 26 Sep 2024 12:26:46 -0400 Subject: [PATCH] Updates (#16) * Update README.md * move requirements file and split into testing and tutorials * made extraneous files obsolete * Updated requirements file location * we don't support integration tests * Rename SCHEMAS to CHANGELOG * rename tutorial * format with isort and black * rename attr to attrs * add tutorials * updated tutorials * Update README.md * remove unnecessary files * format with isort * Delete README.md * Update nx.ipynb * Update TUTORIALS.md * Update conftest.py * Delete test_nx.py * slight rename * Fix code snippet * Update README.md --- .github/workflows/test.yml | 2 +- README.md | 29 +- {schemas => _OBS}/performance_testing.py | 0 .../performance_testing_output.txt | 0 requirements.txt | 4 - requirements/tests.txt | 2 + requirements/tutorials.txt | 5 + schemas/CHANGELOG.md | 4 + schemas/SCHEMAS.md | 17 - schemas/hif_schema_v0.1.0.json | 10 +- scripts/SCRIPTS.md | 3 - scripts/__init__.py | 1 - scripts/nx.py | 11 - {scripts => src}/hif.py | 8 +- tests/conftest.py | 8 +- tests/test_nx.py | 26 - tutorials/TUTORIALS.md | 7 + tutorials/data/diseasome.json | 13558 ++ tutorials/data/e-coli.json | 3856 + tutorials/data/email-enron.json | 173866 +++++++++++++++ tutorials/hgx.ipynb | 0 .../HIF_schemas.ipynb => tutorials/hnx.ipynb | 0 tutorials/integration.ipynb | 157 + tutorials/nx.ipynb | 31 + tutorials/xgi.ipynb | 442 + validate_hif.py | 3 +- 26 files changed, 191963 insertions(+), 87 deletions(-) rename {schemas => _OBS}/performance_testing.py (100%) rename {schemas => _OBS}/performance_testing_output.txt (100%) delete mode 100644 requirements.txt create mode 100644 requirements/tests.txt create mode 100644 requirements/tutorials.txt create mode 100644 schemas/CHANGELOG.md delete mode 100644 schemas/SCHEMAS.md delete mode 100644 scripts/SCRIPTS.md delete mode 100644 scripts/__init__.py delete mode 100644 scripts/nx.py rename {scripts => src}/hif.py (88%) delete mode 100644 tests/test_nx.py create mode 100644 tutorials/TUTORIALS.md create mode 100644 tutorials/data/diseasome.json create mode 100644 tutorials/data/e-coli.json create mode 100644 tutorials/data/email-enron.json create mode 100644 tutorials/hgx.ipynb rename schemas/HIF_schemas.ipynb => tutorials/hnx.ipynb (100%) create mode 100644 tutorials/integration.ipynb create mode 100644 tutorials/nx.ipynb create mode 100644 tutorials/xgi.ipynb diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 186fa6f..5218794 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -22,7 +22,7 @@ jobs: - name: Install packages run: | python -m pip install --upgrade pip wheel setuptools - python -m pip install -r requirements.txt + python -m pip install -r requirements/tests.txt python -m pip list - name: Test schema diff --git a/README.md b/README.md index 1d04af0..431322e 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,17 @@ -## A set of Hypergraph Exchange Format (HIF) specification & validators +## The Hypergraph Interchange Format (HIF) standard (Work-in-progress) -Hypergraph Exchange Format (HIF) is a forthcoming standard for data exchange between the existing hypergaph libraries. +Hypergraph Exchange Format (HIF) is a forthcoming standard for higher-order network data to facilitate seamless data exchange between existing higher-order network libraries. + +### Table of contents for this folder + +This repository is organized into the following folders: +* `examples`: This folder contains examples of higher-order datasets in the HIF standard. For details of its contents, see the [README](/examples/EXAMPLES.md). +* `requirements`: This folder contains a list of all dependencies used in this project. +* `schemas`: This folder contains all schemas used for specifying the HIF standard. For details of what has changed with each version, see the [CHANGELOG](/schemas/SCHEMAS.md). +* `src`: This folder contains addition functionality for checking against the HIF specification. +* `tests`: This folder contains all of the unit tests used for validating that the schema is correct. +* `tutorials`: This folder contains tutorials detailing how each library uses the HIF standard and how the HIF standard allows seamless integration between libraries. For details of its contents, see the [README](/examples/TUTORIALS.md). Initial assumptions about the core of the HIF data format: ``` @@ -25,13 +35,7 @@ Initial assumptions about the core of the HIF data format: - **direction keywords** : head, tail - If a hypergraph is, for instance, directed, the edge direction will be contained in the incidences record with keyword "direction". - Isolated nodes and empty edges are entries in "nodes" and "edges" which are not present in the incidences. - -### Table of contents for this folder - -This repository is organized into three folders: -* `examples`: This folder contains examples of higher-order datasets in the HIF standard. For details of its contents, see the [README](/examples/EXAMPLES.md). -* `schemas`: This folder contains all schemas used for specifying the HIF standard. For details of its contents, see the [README](/schemas/SCHEMAS.md). -* `scripts`: This folder contains scripts for checking that datasets match the HIF standard. For details of its contents, see the [README](/scripts/SCRIPTS.md). +- This schema explicitely describes all items in the schema using json objects and typing. This is a verbose presentation making it faster to instantiate than list-based schemas requiring a parser. - *validate_hif.py*: This Python command line executable checks whether a JSON file matches the HIF standard. All errors print to the command line. More details on running this are in the [next section](#validate-files-against-the-hif-standard). @@ -47,8 +51,9 @@ The only option is `--silent`, which suppresses all detailed warnings. Regardles ```python import fastjsonschema import json +import requests -schema = json.load(open("hif_schema_v0.1.0.json","r")) +schema = requests.get("https://raw.githubusercontent.com/pszufe/HIF_validators/main/schemas/hif_schema_v0.1.0.json").json() validator = fastjsonschema.compile(schema) hiftext = json.load(open(filename,'r')) validator(hiftext) @@ -66,10 +71,8 @@ The authors, co-authors or contributors of the following software libraries are This project is an ongoing colaborative work of the following people (alphabetical order): - [Audun Myers](https://www.audunmyers.com/) (Pacific Northwest National Laboratory) - [Brenda Praggastis](https://www.pnnl.gov/people/brenda-praggastis) (Pacific Northwest National Laboratory) -- [Caterina Debacco](https://www.cdebacco.com/) (Max Planck Institute for Intelligent Systems) - [Cliff Joslyn](https://www.pnnl.gov/people/cliff-joslyn) (Pacific Northwest National Laboratory) - [Francesco Lotito](https://scholar.google.it/citations?user=_r_zQAwAAAAJ&hl=en) (University of Trento) - [Martín Coll](https://about.me/mcoll) (University of Buenos Aires) - [Nicholas Landry](https://nwlandry.com/) (University of Virginia) -- [Przemyslaw Szufel](https://szufel.pl/) (SGH Warsaw School of Economics) - +- [Przemyslaw Szufel](https://szufel.pl/) (SGH Warsaw School of Economics) \ No newline at end of file diff --git a/schemas/performance_testing.py b/_OBS/performance_testing.py similarity index 100% rename from schemas/performance_testing.py rename to _OBS/performance_testing.py diff --git a/schemas/performance_testing_output.txt b/_OBS/performance_testing_output.txt similarity index 100% rename from schemas/performance_testing_output.txt rename to _OBS/performance_testing_output.txt diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index d0db9c3..0000000 --- a/requirements.txt +++ /dev/null @@ -1,4 +0,0 @@ -fastjsonschema -networkx -pytest -requests \ No newline at end of file diff --git a/requirements/tests.txt b/requirements/tests.txt new file mode 100644 index 0000000..6fd9ca0 --- /dev/null +++ b/requirements/tests.txt @@ -0,0 +1,2 @@ +fastjsonschema +pytest \ No newline at end of file diff --git a/requirements/tutorials.txt b/requirements/tutorials.txt new file mode 100644 index 0000000..e461868 --- /dev/null +++ b/requirements/tutorials.txt @@ -0,0 +1,5 @@ +hypergraphx +hypernetx +networkx +xgi +requests \ No newline at end of file diff --git a/schemas/CHANGELOG.md b/schemas/CHANGELOG.md new file mode 100644 index 0000000..4d22d5f --- /dev/null +++ b/schemas/CHANGELOG.md @@ -0,0 +1,4 @@ +# Changelog + +## v0.1.0 +Initial schema for the Hypergraph Interchange Format (HIF) standard. \ No newline at end of file diff --git a/schemas/SCHEMAS.md b/schemas/SCHEMAS.md deleted file mode 100644 index 5a35015..0000000 --- a/schemas/SCHEMAS.md +++ /dev/null @@ -1,17 +0,0 @@ -# Description of schemas - -## hif_schema_v0.1.0.json -Initial proposal for schema for HIF json format. -This schema explicitely describes all items in the schema using json objects and typing. This is a verbose presentation making it faster to instantiate than list based -schemas requiring a parser. - -## Times - performance_testing.py -Performance estimates for generating hif format from various libraries using hif_schema_v0.1.0.json: - -| library.method | HGX-data/contacts-high-school.json | -|-------------------|------------------------------------| -| hnx.to_hif | 0.01768 ns | -| hnx.from_hif | 0.02658 ns | - -## HIF_schemas.ipynb -Illustration of usage with fastschemajson library diff --git a/schemas/hif_schema_v0.1.0.json b/schemas/hif_schema_v0.1.0.json index 77c669e..e2675b2 100644 --- a/schemas/hif_schema_v0.1.0.json +++ b/schemas/hif_schema_v0.1.0.json @@ -1,11 +1,11 @@ { "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://raw.githubusercontent.com/pszufe/HIF_validators/main/schemas/hif_schema_v0.1.0.json", - "title": "Schema for Hypergraph Interchange Format - HIF", + "title": "Hypergraph Interchange Format v0.1.0", "type": "object", "properties":{ "network-type": { - "enum": ["undirected","directed","asc"] + "enum": ["undirected","directed","asc"] }, "metadata": { "type":"object" @@ -27,7 +27,7 @@ "direction": { "enum": ["head","tail"] }, - "attr": { + "attrs": { "type": "object" }, "unevaluatedProperties": false @@ -46,7 +46,7 @@ "weight": { "type":"number" }, - "attr": { + "attrs": { "type": "object" } , "unevaluatedProperties": false @@ -65,7 +65,7 @@ "weight": { "type":"number" }, - "attr": { + "attrs": { "type": "object" } , "unevaluatedProperties": false diff --git a/scripts/SCRIPTS.md b/scripts/SCRIPTS.md deleted file mode 100644 index e76d7bb..0000000 --- a/scripts/SCRIPTS.md +++ /dev/null @@ -1,3 +0,0 @@ -# Description of scripts - -`hif.py`: This script provides a function `validate_hif` which returns a dictionary specifying whether every part of the HIF specification is followed. \ No newline at end of file diff --git a/scripts/__init__.py b/scripts/__init__.py deleted file mode 100644 index 66abe04..0000000 --- a/scripts/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .hif import * diff --git a/scripts/nx.py b/scripts/nx.py deleted file mode 100644 index 6d1d1be..0000000 --- a/scripts/nx.py +++ /dev/null @@ -1,11 +0,0 @@ -import networkx as nx - -def from_hif(data) -> nx.Graph: - g = nx.Graph() - for n in data.get("nodes", []): - g.add_node(n["node"], bipartite=0, weight=n.get("weight", 0)) - for e in data.get("edges", []): - g.add_node(e["edge"], bipartite=1, weight=e.get("weight", 0)) - for i in data["incidences"]: - g.add_edge(i["node"], i["edge"], weight=i.get("weight", 0)) - return g \ No newline at end of file diff --git a/scripts/hif.py b/src/hif.py similarity index 88% rename from scripts/hif.py rename to src/hif.py index e91532a..5e9dc54 100644 --- a/scripts/hif.py +++ b/src/hif.py @@ -19,7 +19,11 @@ def validate_network_type(data, verbose): ) # in the case of simplicial complexes, make sure that the edges are maximal - if "network-type" in data and data["network-type"] == "asc" and "incidences" in data: + if ( + "network-type" in data + and data["network-type"] == "asc" + and "incidences" in data + ): edgedict = defaultdict(set) for record in data["incidences"]: e = record[0] @@ -31,4 +35,4 @@ def validate_network_type(data, verbose): if verbose: print( f"Only maximal faces should be stored for simplicial complexes." - ) + ) diff --git a/tests/conftest.py b/tests/conftest.py index b161a8b..a4c81a3 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,8 +1,7 @@ import json -import pytest -import requests import fastjsonschema +import pytest schema = "schemas/hif_schema_v0.1.0.json" json_dir = "tests/test_files" @@ -12,22 +11,27 @@ def validator(): return fastjsonschema.compile(json.load(open(schema))) + @pytest.fixture def empty(): return json.load(open(f"{json_dir}/empty.json", "r")) + @pytest.fixture def single_node(): return json.load(open(f"{json_dir}/single_node.json", "r")) + @pytest.fixture def single_edge(): return json.load(open(f"{json_dir}/single_edge.json", "r")) + @pytest.fixture def single_incidence(): return json.load(open(f"{json_dir}/single_incidence.json", "r")) + @pytest.fixture def bad_top_level_field(): return json.load(open(f"{json_dir}/bad_top_level_field.json", "r")) diff --git a/tests/test_nx.py b/tests/test_nx.py deleted file mode 100644 index 6f38125..0000000 --- a/tests/test_nx.py +++ /dev/null @@ -1,26 +0,0 @@ -import networkx as nx -from scripts.nx import from_hif - - -def test_empty_hypergraph(empty_hypergraph): - result = from_hif(empty_hypergraph) - expected = nx.Graph() - assert nx.utils.graphs_equal(result, expected) - -def test_single_node(single_node): - result = from_hif(single_node) - expected = nx.Graph() - expected.add_node(42, bipartite=0, weight=0) - assert nx.utils.graphs_equal(result, expected) - -def test_single_edge(single_edge): - result = from_hif(single_edge) - expected = nx.Graph() - expected.add_node(3, bipartite=1, weight=0) - assert nx.utils.graphs_equal(result, expected) - -def test_single_incidence(single_incidence): - result = from_hif(single_incidence) - expected = nx.Graph() - expected.add_edge("abcd", 42, weight=0) - assert nx.utils.graphs_equal(result, expected) diff --git a/tutorials/TUTORIALS.md b/tutorials/TUTORIALS.md new file mode 100644 index 0000000..dac9d0a --- /dev/null +++ b/tutorials/TUTORIALS.md @@ -0,0 +1,7 @@ +# List of tutorials + +* `integration.ipynb`: This tutorial demonstrates how to use the HIF standard to facilitate data exchange between different libraries. +* `hgx.ipynb`: +* `hnx.ipynb`: +* `nx.ipynb`: +* `xgi.ipynb`: This tutorial demonstrates how to use the HIF functionality available in XGI \ No newline at end of file diff --git a/tutorials/data/diseasome.json b/tutorials/data/diseasome.json new file mode 100644 index 0000000..e3af420 --- /dev/null +++ b/tutorials/data/diseasome.json @@ -0,0 +1,13558 @@ +{ + "metadata": {}, + "network-type": "asc", + "nodes": [ + { + "attr": { + "label": "Insulin resistance" + }, + "node": "919" + }, + { + "attr": { + "label": "Muscular dystrophy" + }, + "node": "223" + }, + { + "attr": { + "label": "Central core disease" + }, + "node": "814" + }, + { + "attr": { + "label": "Neuroblastoma" + }, + "node": "838" + }, + { + "attr": { + "label": "Epiphyseal dysplasia" + }, + "node": "306" + }, + { + "attr": { + "label": "Cleft palate" + }, + "node": "796" + }, + { + "attr": { + "label": "Pancreatic agenesis" + }, + "node": "669" + }, + { + "attr": { + "label": "Bladder cancer" + }, + "node": "474" + }, + { + "attr": { + "label": "Pyropoikilocytosis" + }, + "node": "1020" + }, + { + "attr": { + "label": "Rett syndrome" + }, + "node": "767" + }, + { + "attr": { + "label": "Desmoid disease, hereditary" + }, + "node": "115" + }, + { + "attr": { + "label": "Apert syndrome" + }, + "node": "480" + }, + { + "attr": { + "label": "Piebaldism" + }, + "node": "695" + }, + { + "attr": { + "label": "Newfoundland rod-cone dystrophy" + }, + "node": "966" + }, + { + "attr": { + "label": "Goiter" + }, + "node": "1048" + }, + { + "attr": { + "label": "Leukemia" + }, + "node": "47" + }, + { + "attr": { + "label": "Myxoma, intracardiac" + }, + "node": "924" + }, + { + "attr": { + "label": "Atrial fibrillation" + }, + "node": "327" + }, + { + "attr": { + "label": "Neuroectodermal tumors" + }, + "node": "912" + }, + { + "attr": { + "label": "Viral infection" + }, + "node": "463" + }, + { + "attr": { + "label": "Unna-Thost disease, nonepidermolytic" + }, + "node": "704" + }, + { + "attr": { + "label": "Nevus, epidermal, epidermolytic hyperkeratotic type" + }, + "node": "709" + }, + { + "attr": { + "label": "Sandho disease, infantile, juvenile, and adult forms" + }, + "node": "605" + }, + { + "attr": { + "label": "Pseudoachondroplasia" + }, + "node": "313" + }, + { + "attr": { + "label": "Adenoma, periampullary" + }, + "node": "112" + }, + { + "attr": { + "label": "Persistent hyperinsulinemic hypoglycemia of infancy" + }, + "node": "687" + }, + { + "attr": { + "label": "Myotilinopathy" + }, + "node": "1174" + }, + { + "attr": { + "label": "Myelofibrosis, idiopathic" + }, + "node": "680" + }, + { + "attr": { + "label": "Subcortical laminar heterotopia" + }, + "node": "370" + }, + { + "attr": { + "label": "Crouzon syndrome" + }, + "node": "476" + }, + { + "attr": { + "label": "Intervertebral disc disease" + }, + "node": "307" + }, + { + "attr": { + "label": "Stroke" + }, + "node": "100" + }, + { + "attr": { + "label": "Shprintzen-Goldberg syndrome" + }, + "node": "456" + }, + { + "attr": { + "label": "Primary lateral sclerosis" + }, + "node": "1270" + }, + { + "attr": { + "label": "Meningioma" + }, + "node": "790" + }, + { + "attr": { + "label": "Ossication of the posterior longitudinal spinal ligaments" + }, + "node": "887" + }, + { + "attr": { + "label": "Lynch cancer family syndrome II" + }, + "node": "794" + }, + { + "attr": { + "label": "Becker muscular dystrophy" + }, + "node": "385" + }, + { + "attr": { + "label": "Neutropenia" + }, + "node": "423" + }, + { + "attr": { + "label": "Pancreatic cancer" + }, + "node": "59" + }, + { + "attr": { + "label": "Adult i phenotype" + }, + "node": "542" + }, + { + "attr": { + "label": "Carcinoid tumors, intestinal" + }, + "node": "986" + }, + { + "attr": { + "label": "Myoclonic epilepsy" + }, + "node": "527" + }, + { + "attr": { + "label": "Rubenstein-Taybi syndrome" + }, + "node": "323" + }, + { + "attr": { + "label": "Malignant hyperthermia susceptibility" + }, + "node": "217" + }, + { + "attr": { + "label": "Achondrogenesis Ib" + }, + "node": "407" + }, + { + "attr": { + "label": "Anorexia nervosa" + }, + "node": "644" + }, + { + "attr": { + "label": "Heart block" + }, + "node": "978" + }, + { + "attr": { + "label": "Ehlers-Danlos syndrome" + }, + "node": "285" + }, + { + "attr": { + "label": "Osteoarthritis" + }, + "node": "290" + }, + { + "attr": { + "label": "Wegener granulomatosis" + }, + "node": "1029" + }, + { + "attr": { + "label": "Incontinentia pigmenti" + }, + "node": "1136" + }, + { + "attr": { + "label": "Migraine" + }, + "node": "158" + }, + { + "attr": { + "label": "Urolithiasise" + }, + "node": "131" + }, + { + "attr": { + "label": "Myelodysplastic syndrome" + }, + "node": "671" + }, + { + "attr": { + "label": "Lhermitte-Duclos syndrome" + }, + "node": "942" + }, + { + "attr": { + "label": "Spherocytosis" + }, + "node": "109" + }, + { + "attr": { + "label": "Achromatopsia" + }, + "node": "282" + }, + { + "attr": { + "label": "Malaria" + }, + "node": "245" + }, + { + "attr": { + "label": "Glutathione synthetase deciency" + }, + "node": "585" + }, + { + "attr": { + "label": "Orolaryngeal cancer" + }, + "node": "253" + }, + { + "attr": { + "label": "Oligodontia-colorectal cancer syndrome" + }, + "node": "1132" + }, + { + "attr": { + "label": "Dilated cardiomyopathy with woolly hair and keratoderma" + }, + "node": "403" + }, + { + "attr": { + "label": "Pilomatricoma" + }, + "node": "334" + }, + { + "attr": { + "label": "Histiocytoma" + }, + "node": "1066" + }, + { + "attr": { + "label": "Craniofacial anomalies, empty sella turcica, corneal endothelial changes" + }, + "node": "1227" + }, + { + "attr": { + "label": "Hystrix-like ichthyosis with deafness" + }, + "node": "556" + }, + { + "attr": { + "label": "Coronary artery disease" + }, + "node": "37" + }, + { + "attr": { + "label": "Thyroid carcinoma" + }, + "node": "634" + }, + { + "attr": { + "label": "Prostate cancer" + }, + "node": "139" + }, + { + "attr": { + "label": "Adenosine deaminase deficiency" + }, + "node": "62" + }, + { + "attr": { + "label": "Myoglobinuria/hemolysis due to PGK deciency" + }, + "node": "897" + }, + { + "attr": { + "label": "Aquaporin-1 deficiency" + }, + "node": "134" + }, + { + "attr": { + "label": "Menkes disease" + }, + "node": "166" + }, + { + "attr": { + "label": "HDL cholesterol level QTL" + }, + "node": "38" + }, + { + "attr": { + "label": "Vohwinkel syndrome" + }, + "node": "559" + }, + { + "attr": { + "label": "Foveomacular dystrophy, adult-onset, with choroidal neovascularization" + }, + "node": "959" + }, + { + "attr": { + "label": "Usher syndrome" + }, + "node": "822" + }, + { + "attr": { + "label": "Paragangliomas" + }, + "node": "984" + }, + { + "attr": { + "label": "Cataract" + }, + "node": "325" + }, + { + "attr": { + "label": "Alagille syndrome" + }, + "node": "77" + }, + { + "attr": { + "label": "Erythrokeratoderma" + }, + "node": "560" + }, + { + "attr": { + "label": "Night blindness" + }, + "node": "215" + }, + { + "attr": { + "label": "Ventricular brillation, idiopathic" + }, + "node": "980" + }, + { + "attr": { + "label": "Apolipoprotein deficiency" + }, + "node": "121" + }, + { + "attr": { + "label": "Cyclic ichthyosis with epidermolytic hyperkeratosis" + }, + "node": "702" + }, + { + "attr": { + "label": "Aortic aneurysm" + }, + "node": "453" + }, + { + "attr": { + "label": "Ectopia" + }, + "node": "454" + }, + { + "attr": { + "label": "Jackson-Weiss 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b/tutorials/hgx.ipynb new file mode 100644 index 0000000..e69de29 diff --git a/schemas/HIF_schemas.ipynb b/tutorials/hnx.ipynb similarity index 100% rename from schemas/HIF_schemas.ipynb rename to tutorials/hnx.ipynb diff --git a/tutorials/integration.ipynb b/tutorials/integration.ipynb new file mode 100644 index 0000000..80b22a4 --- /dev/null +++ b/tutorials/integration.ipynb @@ -0,0 +1,157 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "import xgi\n", + "import hypernetx as hnx\n", + "import hypergraphx as hgx\n", + "import networkx as nx\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Create a hypergraph in HypergraphX and use in other libraries\n", + "\n", + "HypergraphX will create an HIF-compliant file which other libraries can then read." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "H = hgx.Hypergraph([[1, 2, 3], [4, 5, 6]])\n", + "# H.write_hif(\"data/small_hypergraph.json\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Create a hypergraph in HyperNetX and use in other libraries\n", + "\n", + "HyperNetX will create an HIF-compliant file which other libraries can then read." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/miniconda3/envs/xgi/lib/python3.12/site-packages/hypernetx/utils/toys/lesmis.py:37: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " self.book_tour_data = self.df_scenes.groupby([\"Volume\", \"Book\"]).apply(\n", + "/var/folders/12/5tnqqv2d58qb9hs_fcf9tcdh0000gp/T/ipykernel_36386/1799623671.py:12: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\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", + " df[\"weights\"] = df.edges.map(lambda e: np.round(1 / cell_weights.get(e, 1), 2))\n" + ] + } + ], + "source": [ + "lesmis = hnx.utils.toys.LesMis()\n", + "names = lesmis.df_names\n", + "scenes = lesmis.df_scenes\n", + "scenes[\"edges\"] = [\n", + " \".\".join([str(scenes.loc[idx][col]) for col in scenes.columns[:-2]])\n", + " for idx in scenes.index\n", + "]\n", + "scenes[\"nodes\"] = scenes[\"Characters\"]\n", + "\n", + "df = scenes[[\"edges\", \"nodes\"]]\n", + "cell_weights = df.groupby([\"edges\"]).count().to_dict()[\"nodes\"]\n", + "df[\"weights\"] = df.edges.map(lambda e: np.round(1 / cell_weights.get(e, 1), 2))\n", + "\n", + "nprops = names\n", + "nprops[\"weights\"] = np.round(np.random.uniform(0, 1, len(names)), 2)\n", + "nprops\n", + "\n", + "H = hnx.Hypergraph(\n", + " df,\n", + " cell_weight_col=\"weights\",\n", + " node_properties=nprops,\n", + " node_weight_prop_col=\"weights\",\n", + ")\n", + "# H.write_hif(\"lesmis.json\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Create a bipartite network in NetworkX and use in other libraries\n", + "\n", + "NetworkX will create an HIF-compliant file which other libraries can then read." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Create a hypergraph in SimpleHypergraphs.jl and use in other libraries\n", + "\n", + "SimpleHypergraphs.jl will create an HIF-compliant file which other libraries can then read." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Create a hypergraph in XGI and use in other libraries\n", + "\n", + "XGI will create an HIF-compliant file which other libraries can then read." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "H = xgi.load_xgi_data(\"email-enron\") # load a dataset from XGI-DATA\n", + "xgi.write_hif(H, \"data/email-enron.json\") # write that dataset to HIF" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "xgi", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tutorials/nx.ipynb b/tutorials/nx.ipynb new file mode 100644 index 0000000..72e32b5 --- /dev/null +++ b/tutorials/nx.ipynb @@ -0,0 +1,31 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import networkx as nx\n", + "\n", + "\n", + "def from_hif(data) -> nx.Graph:\n", + " g = nx.Graph()\n", + " for n in data.get(\"nodes\", []):\n", + " g.add_node(n[\"node\"], bipartite=0, weight=n.get(\"weight\", 0))\n", + " for e in data.get(\"edges\", []):\n", + " g.add_node(e[\"edge\"], bipartite=1, weight=e.get(\"weight\", 0))\n", + " for i in data[\"incidences\"]:\n", + " g.add_edge(i[\"node\"], i[\"edge\"], weight=i.get(\"weight\", 0))\n", + " return g" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tutorials/xgi.ipynb b/tutorials/xgi.ipynb new file mode 100644 index 0000000..e565804 --- /dev/null +++ b/tutorials/xgi.ipynb @@ -0,0 +1,442 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yyu8dx/Documents/GitHub/xgi/xgi/core/dihypergraph.py:573: SyntaxWarning: invalid escape sequence '\\*'\n", + " \"\"\"Add multiple directed edges with optional attributes.\n" + ] + } + ], + "source": [ + "import xgi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Undirected Hypergraph" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "H = xgi.load_xgi_data(\"email-enron\")\n", + "xgi.write_hif(H, \"data/email-enron.json\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + 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120, 98, 74, 23, 147, 20, 57, 125, 44, 108, 116, 79, 8, 112, 142, 136, 132, 52, 40, 2, 72, 115, 95, 56, 140, 61, 58, 75, 85, 111, 80, 93, 11, 137, 99, 128, 38, 3, 102, 84, 5, 114, 55, 47, 87, 70, 6, 19, 145, 39, 54, 88, 126, 21, 9, 7, 28, 104, 60, 49, 141, 59, 143, 30, 123, 12, 118, 77, 101, 24, 64, 78, 14, 134, 13, 105, 94, 48, 26, 17, 53, 148, 43, 15, 76, 33, 27, 36, 138, 68, 69, 110, 46, 45, 18, 109, 130, 113, 144, 103, 127, 100, 22, 82, 106, 25, 89, 90, 146, 96, 32, 37, 135, 50, 66, 91, 73, 42, 131, 119, 121, 92, 86, 83, 139, 81, 34, 67, 10, 35, 16, 31, 124]\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H_hif = xgi.read_hif(\"data/email-enron.json\")\n", + "print(H_hif.nodes)\n", + "H_hif = xgi.read_hif(\"data/email-enron.json\", nodetype=int)\n", + "print(H_hif.nodes)\n", + "H_hif.cleanup()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " (,\n", + " ,\n", + " ))" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pos = xgi.pairwise_spring_layout(H_hif)\n", + "pos = xgi.pca_transform(pos)\n", + "xgi.draw(H_hif, pos=pos, max_order=3)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: 'phillip.allen@enron.com',\n", + " 1: 'robert.badeer@enron.com',\n", + " 2: 'fletcher.sturm@enron.com',\n", + " 3: 'hunter.shively@enron.com',\n", + " 4: 'keith.holst@enron.com',\n", + " 5: 'mike.grigsby@enron.com',\n", + " 6: 'matthew.lenhart@enron.com',\n", + " 7: 'monique.sanchez@enron.com',\n", + " 8: 'steven.south@enron.com',\n", + " 9: 'frank.ermis@enron.com',\n", + " 10: 'jane.tholt@enron.com',\n", + " 11: 'tori.kuykendall@enron.com',\n", + " 12: 'paul.lucci@enron.com',\n", + " 13: 'jay.reitmeyer@enron.com',\n", + " 14: 'john.lavorato@enron.com',\n", + " 15: 'matt.smith@enron.com',\n", + " 16: 'cooper.richey@enron.com',\n", + " 17: 'thomas.martin@enron.com',\n", + " 18: 'david.delainey@enron.com',\n", + " 19: 'andy.zipper@enron.com',\n", + " 20: 'jeff.dasovich@enron.com',\n", + " 21: 'steven.kean@enron.com',\n", + " 22: 'james.steffes@enron.com',\n", + " 23: 'mary.hain@enron.com',\n", + " 24: 'richard.sanders@enron.com',\n", + " 25: 'richard.shapiro@enron.com',\n", + " 26: 'jonathan.mckay@enron.com',\n", + " 27: 'sally.beck@enron.com',\n", + " 28: 'susan.scott@enron.com',\n", + " 29: 'mark.whitt@enron.com',\n", + " 30: 'barry.tycholiz@enron.com',\n", + " 31: 'mark.taylor@enron.com',\n", + " 32: 'stanley.horton@enron.com',\n", + " 33: 'john.griffith@enron.com',\n", + " 34: 'john.arnold@enron.com',\n", + " 35: 'mike.maggi@enron.com',\n", + " 36: 'jeffrey.shankman@enron.com',\n", + " 37: 'dutch.quigley@enron.com',\n", + " 38: 'vince.kaminski@enron.com',\n", + " 39: 'greg.whalley@enron.com',\n", + " 40: 'louise.kitchen@enron.com',\n", + " 41: 'peter.keavey@enron.com',\n", + " 42: 'larry.may@enron.com',\n", + " 43: 'scott.neal@enron.com',\n", + " 44: 'jim.schwieger@enron.com',\n", + " 45: 'errol.mclaughlin@enron.com',\n", + " 46: 'kevin.presto@enron.com',\n", + " 47: 'sandra.brawner@enron.com',\n", + " 48: 'kim.ward@enron.com',\n", + " 49: 'andrea.ring@enron.com',\n", + " 50: 'geoff.storey@enron.com',\n", + " 51: 'doug.gilbert-smith@enron.com',\n", + " 52: 'harry.arora@enron.com',\n", + " 53: 'benjamin.rogers@enron.com',\n", + " 54: 'matt.motley@enron.com',\n", + " 55: 'susan.bailey@enron.com',\n", + " 56: 'sara.shackleton@enron.com',\n", + " 57: 'tana.jones@enron.com',\n", + " 58: 'marie.heard@enron.com',\n", + " 59: 'stephanie.panus@enron.com',\n", + " 60: 'phillip.love@enron.com',\n", + " 61: 'eric.bass@enron.com',\n", + " 62: 'martin.cuilla@enron.com',\n", + " 63: 'jason.wolfe@enron.com',\n", + " 64: 'darron.giron@enron.com',\n", + " 65: 'dan.hyvl@enron.com',\n", + " 66: 'joe.parks@enron.com',\n", + " 67: 'joe.stepenovitch@enron.com',\n", + " 68: 'dana.davis@enron.com',\n", + " 69: 'robert.benson@enron.com',\n", + " 70: 'don.baughman@enron.com',\n", + " 71: 'chris.dorland@enron.com',\n", + " 72: 'elizabeth.sager@enron.com',\n", + " 73: 'jeff.king@enron.com',\n", + " 74: 'judy.hernandez@enron.com',\n", + " 75: 'stacey.white@enron.com',\n", + " 76: 'kam.keiser@enron.com',\n", + " 77: 'jason.williams@enron.com',\n", + " 78: 'daren.farmer@enron.com',\n", + " 79: 'theresa.staab@enron.com',\n", + " 80: 'rick.buy@enron.com',\n", + " 81: 'jeff.skilling@enron.com',\n", + " 82: 'mike.mcconnell@enron.com',\n", + " 83: 'robin.rodrigue@enron.com',\n", + " 84: 'james.derrick@enron.com',\n", + " 85: 'kenneth.lay@enron.com',\n", + " 86: 'brad.mckay@enron.com',\n", + " 87: 'mike.carson@enron.com',\n", + " 88: 'paul.thomas@enron.com',\n", + " 89: 'larry.campbell@enron.com',\n", + " 90: 'eric.saibi@enron.com',\n", + " 91: 'joe.quenet@enron.com',\n", + " 92: 'scott.hendrickson@enron.com',\n", + " 93: 'tom.donohoe@enron.com',\n", + " 94: 'shelley.corman@enron.com',\n", + " 95: 'kevin.hyatt@enron.com',\n", + " 96: 'john.zufferli@enron.com',\n", + " 97: 'mark.haedicke@enron.com',\n", + " 98: 'michelle.cash@enron.com',\n", + " 99: 'danny.mccarty@enron.com',\n", + " 100: 'drew.fossum@enron.com',\n", + " 101: 'lindy.donoho@enron.com',\n", + " 102: 'tracy.geaccone@enron.com',\n", + " 103: 'kimberly.watson@enron.com',\n", + " 104: 'michelle.lokay@enron.com',\n", + " 105: 'teb.lokey@enron.com',\n", + " 106: 'darrell.schoolcraft@enron.com',\n", + " 107: 'rod.hayslett@enron.com',\n", + " 108: 'steven.harris@enron.com',\n", + " 109: 'sean.crandall@enron.com',\n", + " 110: 'diana.scholtes@enron.com',\n", + " 111: 'mike.swerzbin@enron.com',\n", + " 112: 'cara.semperger@enron.com',\n", + " 113: 'bill.williams@enron.com',\n", + " 114: 'kevin.ruscitti@enron.com',\n", + " 115: 'chris.stokley@enron.com',\n", + " 116: 'richard.ring@enron.com',\n", + " 117: 'craig.dean@enron.com',\n", + " 118: 'albert.meyers@enron.com',\n", + " 119: 'holden.salisbury@enron.com',\n", + " 120: 'stacy.dickson@enron.com',\n", + " 121: 'susan.pereira@enron.com',\n", + " 122: 'debra.perlingiere@enron.com',\n", + " 123: \"paul.y'barbo@enron.com\",\n", + " 124: 'bill.rapp@enron.com',\n", + " 125: 'john.forney@enron.com',\n", + " 126: 'chris.germany@enron.com',\n", + " 127: 'judy.townsend@enron.com',\n", + " 128: 'john.hodge@enron.com',\n", + " 129: 'andrew.lewis@enron.com',\n", + " 130: 'vladi.pimenov@enron.com',\n", + " 131: 'kay.mann@enron.com',\n", + " 132: 'mark.guzman@enron.com',\n", + " 133: 'kate.symes@enron.com',\n", + " 134: 'ryan.slinger@enron.com',\n", + " 135: 'geir.solberg@enron.com',\n", + " 136: 'phillip.platter@enron.com',\n", + " 137: 'gerald.nemec@enron.com',\n", + " 138: 'patrice.mims@enron.com',\n", + " 139: 'v.weldon@enron.com',\n", + " 140: 'steven.merris@enron.com',\n", + " 141: 'lisa.gang@enron.com',\n", + " 142: 'eric.linder@enron.com'}" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get all the email addresses for every node\n", + "H_hif.nodes.attrs(\"name\").asdict()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Directed hypergraph" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "DH = xgi.load_bigg_data(\"e_coli_core\")\n", + "xgi.write_hif(DH, \"data/e-coli.json\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "DH_hif = xgi.read_hif(\"data/e-coli.json\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " (,\n", + " ))" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xgi.draw_bipartite(DH)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['PFK', 'PFL', 'PGI', 'PGI_reverse', 'PGK', 'PGK_reverse', 'PGL', 'ACALD', 'ACALD_reverse', 'AKGt2r', 'AKGt2r_reverse', 'PGM', 'PGM_reverse', 'PIt2r', 'PIt2r_reverse', 'ALCD2x', 'ALCD2x_reverse', 'ACALDt', 'ACALDt_reverse', 'ACKr', 'ACKr_reverse', 'PPC', 'ACONTa', 'ACONTa_reverse', 'ACONTb', 'ACONTb_reverse', 'ATPM', 'PPCK', 'ACt2r', 'ACt2r_reverse', 'PPS', 'ADK1', 'ADK1_reverse', 'AKGDH', 'ATPS4r', 'ATPS4r_reverse', 'PTAr', 'PTAr_reverse', 'PYK', 'BIOMASS_Ecoli_core_w_GAM', 'PYRt2', 'PYRt2_reverse', 'CO2t', 'CO2t_reverse', 'RPE', 'RPE_reverse', 'CS', 'RPI', 'RPI_reverse', 'SUCCt2_2', 'CYTBD', 'D_LACt2', 'D_LACt2_reverse', 'ENO', 'ENO_reverse', 'SUCCt3', 'ETOHt2r', 'ETOHt2r_reverse', 'SUCDi', 'SUCOAS', 'SUCOAS_reverse', 'TALA', 'TALA_reverse', 'THD2', 'TKT1', 'TKT1_reverse', 'TKT2', 'TKT2_reverse', 'TPI', 'TPI_reverse', 'EX_ac_e', 'EX_acald_e', 'EX_akg_e', 'EX_co2_e', 'EX_co2_e_reverse', 'EX_etoh_e', 'EX_for_e', 'EX_fru_e', 'EX_fum_e', 'EX_glc__D_e', 'EX_glc__D_e_reverse', 'EX_gln__L_e', 'EX_glu__L_e', 'EX_h_e', 'EX_h_e_reverse', 'EX_h2o_e', 'EX_h2o_e_reverse', 'EX_lac__D_e', 'EX_mal__L_e', 'EX_nh4_e', 'EX_nh4_e_reverse', 'EX_o2_e', 'EX_o2_e_reverse', 'EX_pi_e', 'EX_pi_e_reverse', 'EX_pyr_e', 'EX_succ_e', 'FBA', 'FBA_reverse', 'FBP', 'FORt2', 'FORt', 'FRD7', 'FRUpts2', 'FUM', 'FUM_reverse', 'FUMt2_2', 'G6PDH2r', 'G6PDH2r_reverse', 'GAPD', 'GAPD_reverse', 'GLCpts', 'GLNS', 'GLNabc', 'GLUDy', 'GLUDy_reverse', 'GLUN', 'GLUSy', 'GLUt2r', 'GLUt2r_reverse', 'GND', 'H2Ot', 'H2Ot_reverse', 'ICDHyr', 'ICDHyr_reverse', 'ICL', 'LDH_D', 'LDH_D_reverse', 'MALS', 'MALt2_2', 'MDH', 'MDH_reverse', 'ME1', 'ME2', 'NADH16', 'NADTRHD', 'NH4t', 'NH4t_reverse', 'O2t', 'O2t_reverse', 'PDH']\n", + "{'name': 'Phosphofructokinase'}\n", + "({'f6p_c', 'atp_c'}, {'fdp_c', 'adp_c', 'h_c'})\n" + ] + } + ], + "source": [ + "print(DH.edges)\n", + "print(DH.edges[\"PFK\"])\n", + "print(DH.edges.dimembers(\"PFK\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simplicial complex" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "_H = xgi.load_xgi_data(\"diseasome\")\n", + "_H = xgi.cut_to_order(_H, 3)\n", + "S = xgi.SimplicialComplex(_H)\n", + "xgi.write_hif(S, \"data/diseasome.json\")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "S = xgi.read_hif(\"Data/diseasome.json\")\n", + "S.cleanup()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " (,\n", + " ,\n", + " ))" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Vfu2srCyEh4dj9+7dSEpKQkZGBpKSkrB7926Eh4cjKyvL4BixQjgrVqx4YGOobcyYMQMXLlxAQkKCydj/xYv5CG/TD66uXmjcpD3qObpBpSpFvXquWPn+FgQENgQRoUmTJmZd/kxUqI5T09YIg8Gwnnv37lF4eLhQRhYQEEALFiyg9PR0WrBgAQUEBJCNjQ1lZmZW+7Urs8JXqVRka2srqtxNzOq0LpVVZmZmko2NjcFn7OfnT1KplAYPTaSZs9Np5ux0mvHSR6RUOhAAik94hfo+PdKqUkPmGai7MGOAwahlqNVqioqKIgDk6upKX3/9NcXFxem4yuPi4h7YRCjGda0fnigoKCAAlJGRYfbc6enpBIAKCwurfQy1mdzcXIqLiyOFQlE+uUvpyRZdKS5+sWAIzJydTu3aDyYA5Fnfj+ImvKgTKvD19a0zz4thPSxMwGDUMpYtW4b09HRIpVJs3boVAwYMQGpqKgoKClBQUIDCwkKkpqY+kMz8ypY0VmfC4+NQVmktYWFhSE1NFeSHCUC/AQnwrB8o7FNQcBNHjnwHAOjcuQ8+3rhc5xz5+fk1ElJi1A6YMcBg1CK2b9+OV155BYDGKOjZs6fwOz4D/EGWglWmpJEf25gxY7B+/XqDyYintLQUKSkpGDt2rNl7qOwYHgdCQ0MhVyhBahVu3ryk87u9e3KgKiuFv38Ivvk620C/oWXL1sjKykJoaCgWLlyIjIwMLFy4EKGhocjKykJaWhor7azDMGOAwaglnDp1CmPGjIFarcaECRMwderUhz6GqqzwLSXDiV2dPkpllQ8bqVSK4AahAIArl/8Vfn79Wj7++G0fAODO3VsoLr6nc9y0aTNw5MjPTFSIYZqajlMwGAzL3L59m5o0aUIAqH379lRcXFxjY6lKvJ5PhvP3969SwmNdyxnQZuSoCAJAbdoNEnIFQkJbEwCys3PUyRMAJLRy5SqDc6hUKiooKGDJggwBZgwwGI84KpWKBg/WJIb5+PhQfn5+jY7HUia/paY2ubm51L17d+I4rtIJj/wY6mJjnbfeeocAkH9Ac3rh5RSKjJqrZwBoNhsbGX355Zc1PVxGLYEZAwzGIwq/epszZw4BIIVCQT///HOlz6NSqaptbKbK3fz9/UWt8Dds2EAAqE+fPpVenU6fPp0kEgn5+Pg8tLLKR4H169cL5YIASCqVGhgC9vYOdPTo0ZoeKqMWwYwBBuMRQqVS0cGDBykmJkYoFeRf+osWLbLqXA9anY8vd9MeZ0hIiKjzf/DBBwSARowYUenrd+3alQBQWFjYQyurrGl4I8zX15cWLFhAGRkZtGDBAvL19SWJREIAqH59Lzp//nxND5VRy2DGAIPxCMBP3DKZjCQSicHLXuyKm4efNAIDA3XOExgYWO2rZpVKRTt27CAA5ODgQPfu3bN4zLvvvksAaNy4cZW6Zm5ubrkr3Ib++++/OhEDFxOe4TiOfvzxxxoaIaM2w4wBBqOGyczMJKlUSvXr1yepVGoyDi5WVa8m1PlUKhUFBAQQANq6davF/RcuXEgAKCEhoVLXi4+PJwA0ZsyYSh1fG6nLSZOMBw8rLWQwapAtW7Zg3Lhx4DgOly9fhpeXF9avX2+1dr9arUZhYSHUanW19wAwdg19OI4TStMyMzMtnouv/a9MW+Xr168jIyMDADBt2jSrj6+N1EWhJcbDhRkDDEYNkZWVhYiICPj4+GDOnDlQKBSYNGmSVS/7vLw8xMXFwcHBQdg2bdqEgQMHVtukYewasbGx+Omnn3QMA94Y+Oabb3Dr1i2z5+SNgcpoAKSkpKC4uBitW7dGhw4drD6+NlKXhZYYDwdmDDAYNUBeXh6io6Mxbtw4nD17Fi+//DJKSkpEv+wLCwuxYcMGo137vLy8sHbtWrNd+8ROGvqdAZcsWYLGjRsjPT0dHTp0gJ2dHeLi4pCXl4cWLVqgadOmKCkpwaeffmr2vPfuaURxrDUGysrKsHr1agAar8CDVFt8lKjLQkuMh0QNhykYjDqJfvxXbFe/xMREkkqlpFAoSCKRVLrO3lyHOj4Z78iRIzo5DKaSErVL+fhcgD59+pi9j+joaAJAb775ptn99Nm2bRsBIHd3dyoqKrLq2NpObGwsBQQEsJwBxgOBGQMMxkPG1MRvKUEsLS2NJBIJ+fn5UatWrSo9MZj6HV/RUNEZT1PSqFQqaciQISSVSi0mJX755ZfCsRcvXjT5DEaPHk0AaNUqQ3U8c3Tr1o0A0Jw5c6w67nFg7dq1VTIAGQxzMGOAwagmxIr7mGrna64K4PDhw8RxHEVFRdH169dFeRGMrf5NTRr8qt/d3Z2kUqkgJsSv/v38/EgikVBaWprRa2kbGG3btiUAtHLlSpNjGzRoEAGglJQUs/egTV5eniCyU9fq6I8fP05OTk6CoaUv9vS4Cy0xHjzMGGAwqoi14j7mQgKmlP0UCgXZ2dkJ1zBmTOiTnp5OAGju3LlmFQJ5I2TQoEFVkhnmjY9ly5YJPRRM0bNnT1H3oE1CQgIBoGeeeUb0MY8Dly9fpqCgIAJAHTt2pEOHDumIPT3uQkuMhwMzBhiMKlAZcR+VSkVRUVEmQwK5ubkUExOjIzMrkUiE5j6bNm0iuVwuyjMgk8lIqVQKK8onnnjCYNLgwxPR0dFVqmPnjY9Tp04JIYYzZ84Y3bdDhw4EgD755BOz98Bz7do1YfLbt2+fqGMeB+7du0ft27cnABQSEkJXrlwRflcXhJYYDw9mDDAYlcRacR99D4K5+G9UVBQBIM/6Hkb3s0aARqVSUVpaGgGgVq1a6ezHeymSk5PNhh74iYffz9gEpB2W4Ff+S5YsMTiHSqWili1bEgD67rvvzDzhCt58801h/HVl8lOpVEJuhYuLC/311181PSTGYwwzBhiMSmLNhGzMgzBq1CiTjXb4lbWdvS35+voaXMPazoH//POPEG8vLCwU9uXzF/jmN8byGLQNGD658ODBgwbX9Pf3p9jYWCooKKCPPvqIAFDz5s2NhlHq1atHAGjv3r0Wn3Npaamgbpiammpx/8eFpKQkAkAymYx2795d08NhPOYwY4DBqARiSwEXLFhASqXSZCb+4cOHKSQkxKCd73fffUd+/r7EcZzJa/AGhp+fn44x4ePjQ1KpVCdEoVarycvLiwDoaNeb8wyYCoH4+vrqhEDu379PAwcOJAAkl8uF++Ab55g6h0QioYULF1p81p988kmdKydMSUkRQkQff/xxTQ+HUQdgxgCDUQlMVQTow8fR/f39zXoQ/P39KSoqSscFzmfPm7tGbm4ude3aVTAmbGxk5ZOxHV2/fl1n36FDhxIAevfdd3V+bixnQIznQSqVUmJiIrm5uQklj9oTvqenZ7WUwvXo0YMAUFJSktn9Hhe+//57srGxIQA0b968mh4Oo47AjAEGoxJY4xngOI7mz59vcT/9WLxKpSKlUinqGprJOIQyN/9APj6azPPpM17U2W/JkiVGs/GNVROISSb08fEhjuOI4zijRkN0dDT5+flVSSTn2LFjQnjj33//NfscHgf++OMPoYQwMjKyzuRHMGoeZgwwGJVETM6Aj4+PVR4E7Xg+fw1L4kL8NQDQhPiX6JVX3yx32SvowoULwr47d+4kABQYGGhwnqlTp5JEIiFnZ2fiOI6kUqnoagVj47PGWDKVkEhENHHiRAJAo0aNMnuex4FLly4JJYSdOnWqMyERxqMB603AYFSSGTNm4MKFC0hISEBpaanO70pLSzFhwgRcvHgREomk0pry/DViYmJQUlJi9BqXL1+Gp6cnJBIJNm5YDs/63mgQ3AT375dg7tzXhP3Dw8MhkUjwzz//4PLly8LP8/LysGbNGgwcOBBDhw6FjY0NVCqVqD4JpaWliI6ONmiKVNXGOmq1GufPn0daWhqAx787YVFREYYOHYpz584hJCQEn332GZRKZU0Pi1GXqGlrhMGozZgSCfLx8SGJREIcJyUPT59Kucv15YGlUim1atWKFi9ebKA6x8fgJRIJubt705y5y8qPsaFTp04J52zWrBkBoM8//1z4mb6Ho7S01KoQSHp6usHvKusZ0K884DiOXFxc6NdffzV7ntqMSqWiUaNGCSWEJ06cqOkhMeogzBhgMEwgRl5YpVLRqlWryNvbR0ji4ziO5HIl9X16FKWkfkNvvrWBJBxnVlPAlDywqSx8mUxmoDqnHTLo2XMINWvehgDQiBGjhX0mTJhAAGj27NnC+CvTJ4E3YMyFE6wpvTR3z4+71O7MmTOFEkIxpZYMxoOAGQMMhh5i5IVv3LhBb775NgUEBAnxegDUuHFLevmVpbQ5ex9tyTlAW3IO0HOJcwSRIVMeBD7r/sSJE1aLGWnDr9YBUNT4KcJ18/LyiEjT7AYA9erVi4gq1ydBuxJgyJAhZpUUbWxsRBlBVbnnB43YnhOVYd26dcJ3x1TfBwbjYcCMAQZDC0vywkuXLqXx42NJqazoEaBU2lGfviNp+crNggHAbxvTdpBjPRcCQImJUww05QcNGkSdO3cWzsVxHAUHB4tKTAwNDTWYHPlERM35HahFmEbKtnfvp4lIM0EDoHr16pFKpapUnwTegBk1ahQtXrxYp82x/jg7d+5sVFiJPwe/2rfWi/AwsLbnhLXs2LFDkJx+/fXXq+WcDEZlYcYAg1GOmNUwL6QDgHx8gig+4WVK2/S9gRHAbwMGjiUAFBAQRMXFxURkXFP+8OHDNHjwYMEgEBNrl0qlBuJCvGfAwcFVUzkQ1EjwFOzbt49KS0vJzs6OANAff/xBROYnYv0+Cfy5XFxchH/LZDLLSop2doIgkVwuF8aQnp5ebZUH1Ullek5Yw++//y6oMI4bN46VEDJqHGYMMBjliC0VdHOrT6/PX03ZW/ebNAK25Byg5SuySCq1KU/Y+0LUGDZs2GBVKWJkZKTgPtctM5QQJ9UIEAUEhhIAatuuA6nVauratauOtK8Ydz5vAEn5c5bLA3/22Wf0yy+/CAmO2qvoXr16EQDhvNpGkLZxNWDAAFH3zPdXuHv3rqhnWVkedMji0qVLFBgYSACoc+fOgpHIYNQkrLSQwYCmlC07Oxvx8fEGZXI8MpkMkydPRkHBbTRt2hISicTk+YgI69a9B5WqDD179sGQIYMtjiErKwsJCQmQSqWiSxE3bNgAHx8fLFu2TChlLB8BSK0CAPz7zylIpTb4+dBBfPvtt2jXrh0A4NChQwCAsLAwpKWlISMjA0FBQVi4cCEyMjKwcOFCBAUFISMjA3Z2duXPSXPO//77DwDQrl07bN68GQAwbNgwFBQUoKCgAIWFhbhw4QJ8fX2xfv16yGQycBwHe3t7SCQSyGQyrF+/Hr6+vti7dy84jjN5z3l5eYiLi0NCQgIAwNPTE7Gxsfjpp5+gVqstPldrWb58OXx9fZGSkmLwXZDJZEhJSYGPjw9WrFhh9bnv3buHIUOG4J9//kFoaCg+++wzKBSK6ho6g1F5atoaYTAeBayVF96UsYu25BygzVt+pLT0nbR5y486XoFXZr4l6PKLKRXTXo1a20qYDxlAK5GR3ySctLzBkGbF3rRZc9qyZQsBoJYtW+rcv0zGu/EVOiEBAOTg4Ghwbk9PT1KpVOTv708AKCcnRzjf9evXSSKR0Ny5c80m3vGu/+DgYKMNmcRUVVRnHP9BhixUKhWNHDmSAJCrqyv9/fffVR0ug1FtMGOAwSDrJgGFQklvvr2RuvcYQAqFsnyyVVL3HgPorXc+poysPeTu4WNUEtgU2iEKazsS8gaKi6ufcYOgPM+Bn9xXrXpfcOvzioe8geDqWp+ysvfR3HkrdM7Bu/+h1f+gT58+tG/fPgJAjo6OdO/ePSLSGDatW7fWab5kasLmx75v3z6DPgZi+yN4e3tXW+mhtUahvmKkOV599VUhZ+KHH36o6lAZjGqFGQMMRjlicgb8/f2pSdOWJJVWZNlr18NLpTbUvoMmVu7u7kF37tyxeF1jhoi5TH79iY9PGpRIpGRn72LUINDegoKChdwCflIaPkIjetOv/zO0JecAZWbt1TmG9xYAIHsHBwJAr7zyCiUmJhIAio6O1hm3r6+vqMQ77RU239LZ39+fFixYQF26dLHY4CkgIIBiYmJENz2qzGdhDH7cZWVlosoO+ZbOAGjTpk1VGiOD8SBgxgCDUY64agJNYx7TnfiihZX4+vWpoq5rrtZfuxSRVyI8ePCgzjW1exOgPHnQkkHQsmVLAkBvv/02FRcXk729ZoJfuGitEOpwcnbT8gbYVBgD5ft+/PHH5OHhQQDo22+/tTrxTj/cwa+2u3brR3K5QnRVha2tLZWUlJCPjw9169ZN1DM3h5h+EF5eXhQaGiqq7HD79u1CGCc5ObnK42MwHgTMGGAwtNBf2fIrcn9/f5JIOJJIJEZj2zz85Ozq6iZapMbSapTPwp8/f75OnJrP9NcoHtpZNAC0N351P3LkSMrJySEAVK+eq07uQ1hYR61QA2dgGKxZs6bcA+JO9+/fN+pZ0Rbs0Z78jYU7+BBM9tb9tDFth9Xuet5DUlXp4rVr15ptvcxrJ+h7hox5P7RLCPVbVDMYjxLMGGAw9MjNzSV7ewch5q1QKCm8TRfiOI5kMpmo1apSqbTqxS+2rLFVq1YGwj0ymZy69xhIXbsOFPQFjG+GHgNt/QAvb396652PBWNg0OBxJs+lUCho/PjxBIBiYmJo27ZtOs/GlGBPYmIiyeVy8vf315k4K4SUmlL21v20ecuPpFCIa9/MG0i8YTB+/HjRz12f3NxccnR0FJ6JfpjGy8vLrKGg7f3QLiHs2rUrKyFkPNIwY4DB0KOkpESYJFesyqbsrfupe48B5Ofn98CSy8SEKDiOE0IFGsNEbiRZkCMvLz+ytatn1jPAezi0V7b+/v4kldrQtBnJtCXnACVOnWfyeC8vb53QAb9lZGSYFezhn+v48eN1wgVRUVFCeOXJJ9vSRylfUfceA0TlDGhXVcjlcqsNMZ5z586Rt7c3AaBu3brRzz//bKAYGRoaajGE4OvrSwMHDqS2bdsSAGrYsCFdu3bN6vEwGA8TZgwwGHocP35c8Ahor1KTk5MfqFKeqaRB7UY9KpWKYmLiCACFNmyumTxbhNOAgc+Qr2+gUePAmCFgbmUrldrQW+98TIsWrRUZdpCQt7fGRZ6YmChKxfG5554T7s/Pz5+kUik1bd5ZEGmyd3Ci3n2Hmh2rdpiBNwx4QSVrDDEiTSlk48aNCQA1a9aMbt68KfyOD3WUlZVZ1c0RYCWEjNoDMwYYDD22bdtGAMg/IJS25BygtPSdwqpXrDu/R4+elbq2ftKgUqk0SEzbtGkTASAXF03yXqfOfQTX/uoPt9HESTOpXfvuZGfnYHTytpTz4OvrS/YO9YjjjGsXaMalyVFo1boDLVr8ES1eso486/uQnZ2dqOdTEaawoSdbdKW4+MU0c3Y6TUhYSq5uvgbGizGpY/32zbwxYq0hdu/ePerUqRMBID8/Pzp//rzR/awtOwQqVB4ZjEcdGzAeC9RqNYqKimBrawuOY8KSVeH3348DAHx8AgEAcrkCCoUSp0+fxowZM5Ceno6EhASkpKRAKpUKz12lUgkqgPn5+Zg9ey4WLVpg1ecRFhaG6dOnQ61WY8uWLSgqKkJ2djYAYMaMGQgLC0Pnzp0BALduXQMAlN6/Lxzv4eGN3n2GonefoVCpynD61J/IzT2EQz/twfnzZ8BxHCZNmmRWZXHSpElITk42q+5XXHwPAPDr0YP49ehB4eccx4lSceTPbyNTot+ABOEZeXj6Y+ToF7Bh/RyUlZZAIpFgwIABcHd3x4IFC1BWVgapVIoWLVpg0qRJOHXqFEJDQ5Gfn4/U1FTMnTsXY8eONasOqY1KpUJUVBT2798PJycnfPvtt/Dz8zO67++//w4bGxvR6pBubm7Yt28f4uLiRI2FwahJ2KxRy+GlWh0cHIQtLi4OeXl5NT20Wsvx438CAPz8NMYAx3Ho0LEnUlJS0LRpU0G618XFBba2tnBwcICtrS2cnJyQnp6O4JAmAIClSxejb99+uHXrluhrZ2VlITw8HHv27EFSUhIyMjKQlJSE3bt3Izw8HFlZWQgMDIS7uweICABQWlphDKjVaty4fhV//ZmHH/ftQF7ez7h69RIcHBzh4FAParUaISEhZscQHBwsWubX1tYOCoVS5/rWnL+kuABnzxwTfldScg+fbluOstISSKU28PHxwaeffoqNGzfi559/BsdxCAwMxF9//YU5c+Zg6dKl6NWrFw4ePIgdO3YgPz8f06dPFzV2IsKMGTPwySefQC6X4/PPP0fz5s0N9svPz8f46Ci0b98eZWVlWLt2LUpLS42es7S0FCkpKRg7diwmTpyIzZs3C58Tg/FIU8OeCUYlUalUlJqa+kA7q9VVWrZ8igDQjBcXCu73t975mKRSTSw8LS2NbGxsyM/Pz6hELiAhN7f6QtxYKpXSiBEjLAriiK3T37dvH3XsWNH22NXVg1q16kA+PgFGkwq1N7G1+9pSxMbOAYDatm1Lbm4eOr+zsRFXbaERSZIIz6d5iy4UHbeAAoOaEQCSy22NjpXPq/D396e5c+fSpk2bDMIGYnnzzTeFcWdnZxv8/t69e5Q8P5ls7SrUF7v16Wy2ZbN2HkNlEkkfB7TLSRm1B2YM1DL4ki2FQiG6xIkhHrVaTfXqOREAevudNJ1+A9NmJBPHSS0mtUkkEvLw8NCZrHx9fQ3aDesjNh/B3GSvmayl5OnpQ82bP0U9ew2msRGTaNqMZJozbzm5uHiI0kkAJNSmbVdq0OAJkUmEKL9vL/LzM18B4OOjyS3Qr2SoMJ5syMZGbjI+r59XwYtAWfNd147rL1u2TOd3arWaMjIzyM+/InehRetmNPXlydSsRRPhXnlj0FgeA9HDbbn8KGCqnJS9g2oHzBioRWiXbLVq1cpiiZN22RVDHFeuXBFe9ukZuw3aEoeHdyY/Pz+Lkx1fQse/EA8fPixo6RsTxbFGBpfjOHJychImKicnV5o0eRbNe20lvb86hzI3/2Aw7uQFq8m5POFQTIb+wIEDSSqV0uTnkswaALa29lZVK/AiSYcPHzZ6bYlEIlQUWPJiqFQqmjt3LkkkEjpz5ozZ56bNjh07SCbT9Fd48UXd3hGHDh2idu3bCvfi6eVOTw/uTe4eWmqMMs347OzsdCa+uLg4k+qKjzvmykmZl7J2wIyBWoK2C7m4uPiBlrjVZX744Ydy13t9gwnVGiEcuVwurBj5F2JaWhr5+PhQQEAAFRQU6Bxjbab6tWvXhJW0t7e/wVj5LSv7Bxo2vEIiuZ6TJ7UO7yMqQ9/Hx4eCghoaNQIcHZ1pyRsptHLVFuHcE+JfpMhxk6lJ05bEcZzB+XmRpLS0NKP3pu35UCjtRVU+8Pvb2NiIWoX++uuvgqjQmDFjBFf2f//9R+OiIoX7Uyjk1OTJJ4SJHwDV9/KkF2c/T207hgtGT1RUFN28eVPnb8yYuuLjjLUy1IxHE2YM1BK0XcgPsrNaXWfNGk1tfdOmTxlMrNolhubQf+7aL8TExETiOI6CgoLpzz//FI6pTOvckJCG5Z4BF6OGwPurcyg4uKkwmTVt1plmvLSOGjfpQBKJhFq1amVyZctfy1TuQL/+z1Ba+k7q11/T4KhV6w46137rnY+pe4+BgkiSTCYjiURCiYmJFu9P+5oSiek+EFFRUSSVSmnJkiVCqMHcKvTcuXPk5eVFAKh79+5UXFxMhYWF9Hry6zp5AW4euiqOLVo3p/fWvkHH83+h73/+2sALYs6oqguICW/VJS9JbYWVFtYC1Go1srOzkZSUBJlMBqlUCltbW9ElTra2tg9ppNXPwy6Z/O233wEAvuWVBNpolxiaQ/+5y2QypKSkYM+ePfj999+hVqtx7twZNGnSBJ71PdEi7Ek0atQILVq0QEpKCmbNmmW0NE87U10ikSAsrCVOnz6J4uIig31/+OF/WPfR2ygpvgeZXImn+09As2Ydcfv2Nfz1p6YU8OWXX8bYsWNRVFQEOzs7g3I87ax/juOgVquF//7vuxx89+0W4TMJf6qzzrFBQQ2ROGUOJj+XhPv3S0BEiBnfG506dTL77PQrGYjUSE9Px86dOzF58mQEBwfjzJkzWLt2LS5fvoxNmzYhIiICADBr1iwkJCQgOjoaTZs2RVhYmHCeGzduoF+/frh06RKefPJJfPLJJ8jZloOZM1/Fhf/yAQByuQz375fi+tUbkEql6De4D2ImjUOrcM151Go1Mjdk64yXiNCwYUMsXbpU+J6OHTsW06dP17m+NjVRBvygrllcXIzNmzdj9uzZZstJExISsHTpUqxfv1502Sfj4cKMgVpAUVERioqKhJItjuMwZswYrF+/3uzEsW7dOqtqrh8l8vLysHz5cmRnZwsvsTFjxgi19g+Kv/46AQDw929g8DuO49C4SRjWrl0resLm4V+IixYtgkQiEcrNrly+gu+378T323cCACQSCeLj47F+/Xqd85eWliI+Pl6ndK59+zb45JOtOmVuRUWF+GjtO9j/4/8AAF7eIRg2fCqcnD0AAD8d/Fq4l9OnT4PjONjb2xt9Fp999hkkEgl8fHwwadIkhISE4PTp01i7di0uXbqEyZOnoH79+li7di1SU5fB1t4enTv3NXhmSqUt1Gq1aEOK4zgMHjoVAHDzxkVcuHAS+fmnBW0CqVSKqKgovPDCCzrfBd7o2rlzJ8aPH4+pU6eiefPmCAwMxJgxY/DXX3/B19cX8+bNw9P9+uLwz0eEZ05EuH+/FE7O9TA2ejTGTRgDb18vAMCfv5/AxrXp+Obz/6G4qFgwiABg4cKFmDt3rjDZGjOqeGriO12d17x69Sry8vJ0tuPHj6OsrExUOSn/HrOzs6vKLTEeEMwYqAXwq0ztF6m++I3+xDFhwgT8999/6N69ew2MuGpkZWUhOjoavr6+SEpKEiah9evXIz09HWlpacJqsLo5deokgAqNAW1UqjLkXziPa9cuip6wtQkODsZ9LYEgbWRyGezt7VB0r9joSnjNmjW4ePEiiAi9+/RGw4ahcKxXDwCgVqtw+vRfKC29j5XL5+PatYuQSCRo12EIunQdAY6TAgDu3buL347tKT9GbdaoOXLkCLZt24aoqCiD++RX4GvXrsWRI0eE/1+9ahH8/BogKKihwfl4rYZ168x7PtasWYNGjduicZO2Br9fteJ5FN27hddeew2vvfaa8eeoJZo0adIknYlbIpHg0qVLeOaZZ3RWx0SEkEbBiJk4DsNGD4KtXYUn7ctPvsGrU+bC19cHs5Nm6xhEFy9eRHBwsHB/powqoGa+05W9ZllZGf7++2+Dif/ixYtGr8MbluZ4HLyUjzsSIqaIURuIi4vD7t27cfLkSeFFyv+x+/j4ICEhQZg41q1bhwsXLkCtVsPe3gHff78D7du3r+E7EEdeXh7Cw8MRGRlp1MhJSEhAZmYmjhw5Uu2rqfv378POzg4qlQprPvocrq4eOr//5uut2LhhGWxtbVFaWmrw3D/66CNcunTJ5Et24cKFSE5Ohmd9D1y/dsOkcA2PvmteLFKpDUJCWyEwqCnc3Hzg4uoFR0dX/LB3G3468Jmg6ve///3P5HNu3LgxSkpKcPbsWZMTd2hoKHr16oXU1FSUlpYiJCQEIaEtkDhljtFxnTt3EkkzJyAyMtKoITVhwgRkZGQgJm4h6nsFGRz/0ZpXcPPGRWRkZCAyMtLk/WdkZCAqKgqpqan477//sGzZMty6dcuohyM/Px8Ojg5oGd4CDUICERwahKCQIASHBuHmjZsY2Xdclb+LNfGdFnvNXbt2QaVS4dixY8Kk/8cff6C4uNjgnBKJBKGhoQgLC9PZXn/9dYN3kzb63xXGowkzBmoJpv648/LysGzZMmRmZqK0tBQcx8HW1h4xsdOxY8fnOPn3b3BwcMT33+9Au3btavguLGPM6NHmQb5Y/vzzTzRt2hQKhRJp6Tt13L13797G1MTRKCoqwIoVK9GtW1esWLECmzdvRlFRUflzt8WePXsQHh5udNxBQUHIz8+3OA6FUg6p1AZqtRpqtRplZWVQq8QbA8aRQJPzBvj6+uLs2bPIyckxakx++OGHuHz5MpKTkzFv3jyTZ1y4cCGWLl2KwsJCSCQSLFy4EAsWLMS4qETY2tpBqbSFQmELhVKp+bdciffem4P8C//C29vbIAcgPz8fRITo2Pnw9qlwO9+4fhGHfvoGx/J2g+M4q8Z17NgxhIeHIyIiwqQnJz093ahKoFTKwcvL26xBFBISgoYNG2LatGmQSCSQSCTgOE7n3++++y5OnDiBU6dOQSaTGcTv+fO0aNEC8+bNMzhe7L+1f/bqq6/i559/Nvt3ZO776ODggBYtWuhM+s2bN4eDg4PBvpYMj/j4eGRlZT0QA55RjdRM3iKjMpjraieVSikh4VlBMIfjpDR4SBSFhGqyyR0cHOnQoUM1fQtmqUxGfXXCNygKCGhokJnfs+cQAkBPNG5KpaWlOmO+fPlyuViO1GR5FZ/5DpECPg9q06/d1xfwsbW1pRYtWlSqakJbyEfsWPj/SqU2gr6ATKYkF1dvcnL2JLnC1uA4S+WG2pnrYoWcbGQ2gvaAqWdlDEtqjdrnMSfKI+Y8VfmczY09MDCQhg4dSq+99hpt27aNTp06ZbV6oKl3E19O2rVrV1Za+IjDjIFahrGXt3ZJ2MWLF2nAgEHCS8HHJ4j8A0IEg+Dnn3+u4TswTU2XTM6fv5AAULv2vXTL5N7eKLQC3rVrl8FxvBEzatQosy2IR40aRUqlksaNGyfU5kskEho+fDiNGxdFgETnhd6+fQfq0aOHUJ4nl8spvE04TZw0kcLCWupNABIKbdiaGgQ/Sb5+jcjD05+cXTzJ3sGZZHKlzr7Gni8vIatWqyktLU30ZKJtlFX3hGZqE9vW2FohJ2PXsqZDobltypQpZkV5EhMTy++twkCSyxVk71CP6tVzJUdHZ3JwcCIHByeys3ckOztHsrW1J6XSnpRKO1IolCSXK0kmV5BUKquRv6Pc3Fzq1q2b8Czlcjl169aNEhMTmfhQLYAlENYywsLCkJqaipSUFKPZy15eXvjqqy+QmbkZU6ZMQX7+OXCcFM4uHrh18yp69uyFXbt2ok2bNsIxj0rHQ2OJksZ4UMlI+g2KAICI8NFH74BIjaHDRqBHjx4Gx/HVHbt378bBgwfxwQcfGJSaJSYmYuTIkYiIiEBqaiqSkpKQnJyMnJwcfPrpp+A4DgMG9Mcvv/yKy5c1iVqHDv0EX19fzJkzR4hzp6SkIGVdipGSPwk4ToouXUfCs36gzviO5e7Ft9+sg0Jhh9LSYqPPVzsB7ty5cxYTDPWrJvjqlY4dOyI6OgYqlQoqVRnKylQ4deoUPvzwA6hUKoPzjB49BnK5HHfu3MaJE3/j77//0vqtBAqlHZQKe0Aiwb3C2ygtLQbHSY0mWa5btw4XL15EWloawsLCUFhYqFOFYwpTjZnEJsYZy+ng/yaJCBKJBGvWrMG4ceMM3OjayZgcx+H1119HaGgoTp8+jY8++gj5+fno1XsI2rXvARcXN7i4uMPe3tFshZBarUbM+N6ix/7333+jZcuWZvcVy/79+zFu3DisXLkSTk5OwjiXL19usuyT8YhQ09YI48Fx6dIlGjRoiLA6kck0K0xHx3p0+PDhR1JLXKxb19PTs9rHaaxB0fPTkgkAKRRK+vfff00eq6/Cpr3SNqdI9+uvv9LgwYO1PiMZ+fsHiOp/UL9+fZ1Vpp+fP0mlUho8NJFmzk6nmbPT6dWkNHJ20QjteHkFEADy9zffOyAgIEBUDwb+fszd36lTp6hePUeTK+Y///yTEhOnkp29rqyxvb0LPT/9A+Ee4uIXU2DQkwRACCdAL9TQqlUrnetXh2dAjAKig4MzhYQ2o4DAUHJ19RC8PtaeJzQ01ORnrX0uGxsZubrVp+DgptT6qS7Uq/dwembsRHoucQ7Nnbec3nlvE3Xq3MeibHZAQADZ29tXmxgQEx+q3TBjoA6QmbmZnJ11VdUUCuUjqSVuSdo0KipKeDlyHEfTp0+n27dvV/m6xhoUpaXvJCcnjSb9vHmvWzyHuZwOS8/0p59+oj59+oiePHx9fSkmJsbg53z/g7j4xTRzdjoNHzm9/PO2JamNrHwyMf18x48fr6cAaKiwx/deSExMNHt/165dIx8fb53vnbdWoyWp1IY4riKPwssrgKLGPy/8rF2HQRQS2lqQJtY1FhyoZ88+tHjxEvrxxx8pOjra6ERkzQRVUFBAp0+fpv3799O2bduof/8BFvssGJv49TexIRelUmmQB8N/1o6O9cjJybnawymJiYkkk8lo8uTJNHnyZJo0aRJNnDiRnn32WUpISKD4+HiaMGECxcXFUWxsLMXExFB0dDSNHz+exo8fT1FRUTRu3DiKiIggmUxcx0omkf5owoyBOsLly5dpyJBhol4UNa0lbmlSXbVqFY0ePVprEvGizMzMKr1g+CRA7QZFQ4dFl0/M/nTv3j1R57GU02GJ3bt3k42NjeiXallZmU672Pv375Ofnz892aIrvZq0iTzrNyAA1PqpLgSAAgKCKCMjw+jz9fPzMzm58a2ReUNB2yDjOwZqt64tKiqips2a6JxjXFQkderUxeDcjZu0ookTX6W4+JcovE03nZU/v8nlSvLxCSIA1LJla50kTv65GzNy+J+bm9BtbGwMmkf9+++/VK9evXKjRWryuzh79mxKS0ujpUvfoKlTp9HIkc9Qp05dqWHDJ8jZpcIAr0r8XnsCLSoqorNnz9L+/fspJyeH3ntvGb344sv0zDMR1KVLd811nV20DC7TY8/MzLQ66dPSxiTSay8sZ6CO4Onpic8//xRZWdmIjY2Gh4eHQakVoCudu2LFihqpC46IiEDTpk2xYsUKkzKvU6dOxfbt2zF16lScPHkSkZGRWLduHVavXo0mTZpYfc0TJzTKgy4unpArFLh8+QK+/ioLALB8+TLR+QmWcjos0aZNG6sU3RwcHFBcXKyjLDdx4rNYuHAxmjbrhCuXz8LGRi7EtIcPH47IyEg0a9ZM5/lqckUk5TFuDkS6MfDevYchYtwkHNi/E2s+XFJeiieBWq3GyJEjDVTuHOs54srlK8Lxffv2xQ979+P8+X+EnykUtmjYsDn+/fc0PvroLYN75Dgphg2PRuvW7REc0gS5vx7EW2/OhFpNsLHRfXWFhYUhLS0N0dHR2LNnj06pZL169ZCeno7du3dj4sSJRoWcnkucjNdfS8bTTz8NIkJcXBzu3LmD9u3b4/3338fq1autkhzmKSkpgYuLS5XyYPTV+4KCghAUFGT2fEVFRXB1dcWECRNQVFRkcuwLFy6EXC7HzJkzdUoTxW5AhYLjnDlzmPhQbaZGTRHGQ6emy/esRTv2bozi4mJauHAhKZVKIeY+c+ZMg66AltBvUNSyVScCQJ27dHuoz8Caz0cqldL8+fNNZqb7+WvKSrt1H0Ryheb5/PTTTwbXa9OmXYUHQK4wiMej3KW/ctUWSkn9xmA1aCzc5OvrK3gP+M9Gsxn3PMjlcmrXviPNmTOPdu/eTfW9NOGF56e9rtOGGQAFBQWbfC76nhmO48jZxYlWrHubRkYMI6WtUrieTC4zGMdT4a3p2YnPEqBpUfz333/rPKuCggIDb4wlqhpLr+zfovZ1jf0dVXcMn+UM1G6YMVDHqOnyvQfFmTNndBLxAgIC6JNPPhH9Ap0y5XkCQH36jqDZc98rn0ik9McffzzgkRsi5qVqKmcgOjqapFIp2djYCJPhpMmzCAB5enoZTGB//PEH2ds7GJ2gFeU1/s2aaRL3nmzRjpLnry6f4B1ExaXNxdTd3T3p1Vdn0a5du6ioqEjn+KSkOQSAnniipWAMvP1OGgEgV1c3i89QpVLR6dOnhWv9kLedTl49Ricu51LeuZ/o7yt5dOTkjzQ+IZKkUuPJgwkJCTrPq7IJt2LyYEyF5aoygVq6bnW3WX7Y12NUL8wYqGNYs/I0ltD0qPP5559TYGCg8ELv378/nTp1yuJxvXr1JQAUGzeD6tf3JwD03HNTHsKIDanq5OHj40M2NpoVfrv2vahzl34EgOLjn9VZ0ebm5pKLi6vRidDJSfNzBwdHOnbsmGBc9Ow9VLM6bxBGdvZO5OPjQzdv3jS6SubHwhtWrVqFk6uru3CN11+fb/IZ/PPPP4IhsfL9LbQl5wB98OEngvdH7Peybbs2mmu9OZtOXj1mdPtqbw6169TG6HNo0rQJZWRmUHp6epUSbk3lwfj7+5NEIqEuXbo8kAm0KkmtteF6jOqDGQN1ELHlewDoxZderHUGQWFhIc2ZM0dQlFMoFJScnGyw+uRRqVTk56cpu+tdPtm5uLjRzZs3H+7AtTCn6CaVSs2+VLVL5aZNn09KpZ3wHPgV7eDBg8neQVPy5+sXbDAJPvlkWwJAY8ZEEBHR9Bkvlp9Dc66mzTqRRCIhuVxudpW8YMECUigUdOfOHSIi8vevMNQ++mid2WfQvXtPAkCDB4+jLTkHaGPaDuFYsQmdS5YsJgDUqXt7k8bAyavH6O8reTRg6NM6z4DT8hjwiZL83wzvdi8uLhadcGsquXTp0qUPdAKtalLro349RvXAjIE6iFh33sCBA0kikVDDRqGUsy3HaonSmuavv/6i3r17Cy/0kJAQ+uabb4Tf67t9OY4TytrWrFlbgyOvGJ/2S5WXM16yZInZ4/gQDy8FK5FIyNfX12hM393dm54K76ozCTZq1IIcHTVlbF9//TUREd25c4c8PDx1Jkf9cxpbJeuHm1xd3YRz8Oc2xdatWwkAOdZzoczNP9DmLT8KCn35+fminuGff/6pyWuQ2dDRMwdMGgOffr9Z8H70GdiT5Aq5EAbhOIlQ6mksVBAdHU1eXl6iXfnG4vcPYwK1lH9T3Tzs6zGqBjMG6iiZmZnEcZxBDbn2akTbQwCAmjZvSpuzN9cqo0CtVlN2drbOfYwYMYJWrVplMvGN4zhKT0+v6aEL8C/V+fMXWCUTfPjwYYMVLU+FpoBhv4SJk2aWhwqcdY7buHGjxTwB/VWyfvIb750AQL/88ovZ+ygpKRGMh5dfWUpbcg6QrZ0mV+H48eOinp1araaQUI3nY0XK20YNgd/+/ZlCGmn26T+kL/19JY92HfmG+gzsJRg+CxYsELw1xkIFUqnUqvCFKdgEyqgpmDFQR1GpVCSTyahVq1ZmVyMLFiwgmUxGdg52wkv8iSZP0Kb0TVRWVlaDd2Add+7coRdffFFYXT/KOgumOHXqlMatL7JRjzXhIKVtRRJh+w4ab0pUVLSw78WLF2nq1KlWXV8/+a20tFTH6Lhw4YLFe54+/YXysEU72pJzgFzd6hMAOnDggMVjeV54cQYBoEEj+hk1BiY8p9GTcPdwo0N/7dX53ZpNKwVvjCVvmkQioYMHD4oeF4PxKMGMgTrKwYMHCdBUFZhbjfBu3h+PfU9TX5lEjk4Vk0ZowxDasHGDgQDMo8yxY8fI09PTqs53jwoqlYr8/QNFKcsdPXrUCileXe8AX164fft2OnXqFE2ePFlY0VvjmRg3bpyOUXXjxg2d65h6/tr8/fff5cYbRx+u/Yz8/DVNt7TDPZbYt2+fJtzg5EDH83/RmezTP0sVEhXXZqwyMBROXM4lpa2SWrVqJcqwio2NFT0uBuNRoua60jBqlDVr1kAqleL06dNCkxpj4jh8M5P4sc/Bzs4O2V9vwoxZiXByrodTJ08jLjYOjZ5oiJSUFJSWltbAnVhHs2bNcPfuXUyaNMloAx5AI7yUkJCAzZs3G+1z/7DJy8tDXFwcHBwcBNGe9PR0NGjQAAsXLkRGRgYWLlyI0NBQZGVlIS0tDY0aNbKiSY+mgZBSaQcAKL1fAkdHJ6xbtw4NGzbEmjVrUFJSAn9/f6jVatGCSBkZGfD19RcEcu7evSvs4+ziavL5a9OwYUO0a9cRRGp8v+ML2Nk5AABu3rxp8VieDh06wN3dDXdvF+DIT0eFn9+9W4BZ0+aCiPBM1Aj07NvN4FiO49B/SF8cO3YM8fHxZr8zkydPRnZ29iPxnWEwrIUZA3UQtVqNLVu2oEWLFli/fr3JSby0tBRr1qwBEeHE8ZN4a/4yDOwyAof2H8ELSc9j6suT4OzqhLNnzuHZZ59FaMMQrFnzIUpKSh7yHYmHV3ITO6EVFRU9pJEZJysrC+Hh4di9ezeSkpKQkZGB+fPnw8PDAxcuXEBycjKioqKwdOlS9OrVC0eOHEFERIRVHSA5joObmxeaNG0l/Pzu3dvYtm0biDRqf/3790ez5i1Ed/KTSm0glyvxzz9n0bVbD9y8eVPHGPBw9xD9DBITJwMAdu36Cna2ms6KN27cEH28VCpF/4H9AQDbv9kp/HzpvLfx37/58AvwQdLCV0weHxEzGiqVqtZ8ZxiMSlGjfglGjcALD1mKg/KNWMaMH0lTXppEbTo8pePmVSgV1HdgLxoRMZRc3Sv00H39fGjV+ytNlvLVJLVJgVFM1QcA8vDwpJKSEoPjrckZCAxqSK6uHkI+hbFKAb5c0VLXQ39/f+reYyC9+fZGsrPXlC82a/Ykfffdd8J3pFOnrqKfw71798jRsV55SaPmO5icbP7z0+eTTzQaBT7+3vT3lTxak75SuNeMz1PNlh2euJxLcjlrwsN4vGHGQB1Ee0I0JxIilUp1FOScXZ2oa6+O1Kt/DwoI8tcxDJxdnKh125bk7Ook/MzL24veXfau6Jrwh0V1yKZqN+V5UFgzmRvLIbBUTaDfdY8vQ7SkKKg5p2kDRSq1obfe+VijGvjuJnJw0Hwn/PwqvjMjRz5j1bOYOHFyeZKf5n6fe26qVc++oKCAlEpN3kP6Z+vJzUMjqhQ/JcasIcBvzVo0qZV5JgyGWJgxUEfRnmiM1TjHxMRQ/fr1KTz8KerdtxfZ2dvpTP4AyNXdhYIbNSDHerpyts6uzmSvVX3g4elBb739ptX9Ah4UVZFNNVZnHhUVRUePHq3WMVrjweBX7MZaDfMTvKnfaXsCWrVqZXHV7+PjQ02ahJFUKjU4p7+/P0mlNjRtRrIgIbwl5wC9tzyTHOu56HxHpk6dZtXzyMvL09E44J+9GDlgnv4DNUqMIY00nRwbNg6h388ftmgInLicS/V9PEUlbj5qFSgMhliYMVBHMTYh8qvdkpISg5dbSUkJ/fjjj/Ta6/OoU5dOgvKc9mbvYEc2NnqZ6bKKZjBubq60ZMliQY1On4ex2ubhPSL+/v6iVd9M1ZnzAj5du3attsnA2h4SoU801ZkoOY4jiURCQ4cOIwDk4Ois8zttb8D48eOpuLiYFAqFKONDoVBS+/aaGny+VFMqlVL37gMEj4D+tnzlZrK1tReuO2vWbKueB6+LIUboyBQfrftIuL6NjQ19tjNblFcg7ZN1wnfZmGHFpHYZjwPMGKjDVEVHvLCwkLZv306vvPoyPRXeWmeCsbQ5uzjT/AXz6datW0RU+QYwVSU3N5c6duyos9I0pfomxpsgkUgsSgWLxVrPwOioCcLzfbrf6HK9gE7k4uKmM2nrb7zrW7vU1By88eHqqlEjXLt2LdnaarxAkyYnGTUE+G3EyFgtw9Cd/v33X1HPgn/2VdWF+OWXX4TrJ0yNFWUInLx6jAaN6E8AqL635p4bNmpYK6R2H6Zxzaj9MGOgjlNdMqg3b96kzz77jKY8n0hNmjYRZRTY29vRsOHDqtQApqrMnj2bANDEiRPNJn6JzTMICQmpNnex2JyB0MZNqUv3PsJzbdBA8/yHDRtu8Mw9PANILrcVVrq8sRETE0NSqVSU8SEv1yGQy+V09+5dWrJkqcb74OBEGz/ebtIYeGbMszpj8fPzp7Nnz1bLcxCT49GrVy/h2vOWzBJlCPx84gedVsc2NjZ09uzZR1opsKaMa0bthhkDDCKqfhnUS5cuUWZWJsXFx1KD4CCTBkFNKwFGRkYSAHr77bdN7mNtBYK/v3+1JJKJ6V4okUhoVGQcBQRq5HQVCqWJ58zRgEETqU3bgZqVubuX4Ang70+ssI63t6apU8+efYhIE0Jq0EAjBtT36VEmjYFBg8dVeIecNd0Lvb19zXaVrK7qj1WrVumErSw1LuK3uYtnlofANCGO6Nhoo+d/2Jha9ZuTTGahDIY5mDHAeCicO3eOUtan0JiIZ8jFVasMsYYztDt27EgAaOvWrSb3sTZ+P3fuXFIoFNWSMGmueyGfABjevivJZPLycICNUWNg0NBEmpT4nvD7l15ZQgqFkhYsWGB1qSl/ztWrVwu///bbb4V8hHeXpRs1Bnr0HCoc+867m8izvh8BIE9PLzpx4kS1PHu+IZI2f/31l7BKnjt3rmaFb6FxEd/JsFGTUGHMUqlUVDvsB4m5Vb+YUBbHcZSdnV1Do2c8yjBjgPHQUavV9Mcff5BcLhe14lMqlVRcXGz091WNi/KleYcPHza5j7Wr002bNgkTiIODI7Vt254WLlxI//zzT6XGmJubS+PGjTOaAKiZ2AyTOb29vYV/N3+yK82cnU6hDcMJADVu0oqyt+6n7j0GkL9/ABUXF1eq1LR7j2505coVYZz9+mm8Dk80bknZW/cbGAN8d0SJREKbt/xIH637krzKvQzu7h5Gmw9V1TNQWlpKbdtq2jH36dOHVCoVhTTUeDGWr3vLrDGw9bt0necdNX5cpT6/6sLSqr9r166iPDsSiYR5CBgGMGOAUSNYu+KTy+XUoUMnSkqaQzt37qSDBw9WOS5aXFwsTGxXr141u681cWvtcj/9TS6XU8OGjem55xKtampTVlamO9n7+Rs9P78plZrnYmfnRC++sp4ixs0RJuJ33t1EW3IO0MJFa4QwTXR0tMVSU09PT4JWOSIAqu9Vn77//nsiIjpz5oyQTzDjxYUGxsATjVuWj81e+FnK+q/Jx1cTRnJ1daNjx45V6dnrs2jRIgJATk5OdP78eSIievElTfMjU42L+O2ZqBHC8+Q4jv7++2/Rn1d1Y2nVHx0dTRKJhBITE82eh288JpVKWQ4BQwdmDDBqhMrU0evnGvj5+VUpLso3wbG3t7eYK2Epo50vxTx8+DAFBARQTEwMff755zR27Fjy8wswmc3PcRx5efnQ8OEjKTs720BJUNvzYWMjE0IB/KRrbHN2rgjDRI1/nV6ZlUbuHpoVeI+eQ2hLzgHavOVHCm/TRXiWHh4eJJVKde5Pu9Q0KipK53No2zGcghsGCcfPnPUqlZaWUlKSxuhwdvGgTRm7dIwBvsmQq6unzs/Xb/iW/Mt/5+TkYqDZUFldiKNHj5KNjSYsot2S2lzjIn779exBsrOzFe53bORYUd+pB4XYZNJu3bqZPQ9vXPv6+jKBJIYOzBhg1BhiXnC+vr46E52dnaNF8RepVEq7d++2eP3t27cTAGrWrJmo8fJuWlN15mlpacLEdPDgQYPQxa+//kozZrxATZo0M5nop5kQnally9bUpk0bYXWuVBrf3z/QT8eVrT1he3gG0szZ6fR0//jyc9hRyvqvaUvOARo9JqF8v4qVPh8GMC4mJCVXV1edMEHj5o1o4PCnhf9v174t/fXXX+TjoxnT0GHROpM+n7QYENDQwGuQuvE7CgxqRACoXj0ng7CNudwJbQOQN2AKCwupWbNmBIBGjhypY+yVlZWRu7um5DLtk3VGjYEly5J1DM8///xT1HekOuHvpbS0VLThLJfLzRq2fDhl/vz5pFAoHslqCEbNwIwBRo0hdsWXk5NDo0Y9I7TatZR0yOcBhDZ8guImJFBmZibl5+cb7Lt27VoCQAMHDrRqzN26dRMmXblcTl27dqXExETy9/cnjuOEjHVLoYuLFy/S22+/TZ06daF69ZwNPB/6Aju8uJGDYz0KaVQuMiQ1FOLh92vbbgDNeOkjsrXV6PqPi5pCW3IO0Kuz3qpQHyy/j979epCvry+lpmpa+urfw8GDB6m4uFjQU+DHKZVKaeDwfmTvaF9uyNSjF198kQCQjY2MVq3eKkz4Do4aWeLmzdsYTTDc+PF2Cg7W3JeDgyMdOHDA4Nlrhy/4z2DcuCiDxDp+/K6urjp5DTzjY6I0npOEsUaNgbCnnhTucfSY0aK/H9WB/r3whqDYkBqv36GPdjiF39eaUBXj8YYZA4waxRrho1OnTunUxpvCVGghICCIIiKjKDV1A509e5ZmzZpFAGjKlClWj/vo0aMUFRUlvKgVCgVJJBLy9vaudOiiqKiIli5darafgNAfoHwVb8lD0qy5JhTg4eFDmVl7afmKLEEkqGETzco5ICiQPtu5mSQSCYWEhFBgYCAVFxfTwYMHKSYmRid3IDo6mjw8PKhRo0Y6z9bHz5saNa3IvK/vpfEChLXsIEz2CoXmPJ279DNZfvjxph0UGtq83AtkTz/88IPBc+JXzM2btxAmflPKkPoiUPyx27ZtIwDk7edFf1/J0zEEvtqbo2OU/f7771Z/P0xhKeHVWJJgcnKyaA0IjuMoKirKYjhlwYIFJJVKKTY2ttrujVG7YcYAo8YRK3xkbdJhu/Y9qWXLDuTlFaCzmuU3Pslu+PAR9Ndff1XKZapSqejgwYPEcRxFREQYVD1oT8yW+heo1Wrq27cv+fn5ifJ8WPKQ+Pn5CWGAV159kzam7SBvH03iYXDDJ6hRE81kOnn6s5R37idhta1dVWAsc10qlZJMJqOjR49SQGCAzjNt3qqpwbOeNftd2pJzQChrHDpsvFmlwrT0ndToibDy74KdyZDP999/L0zYlrQqsrOzDRJOpVKNwfjlnhwdYyBmYoUewoiRw81+ZmIRIwRkzlMWHR0t6nvh5FyPOM68ZDLvIWjVqhXrssgQYMYA45HBkvBRVZIO5XIFedb3Ix/fBuTi6im4x7U3V1d3GjhwCL333jLKy8sTVa6Ym5tLoaGhQoKgft23vuvaWNigrKyMtm7dSq1btxYmYzH3N3/+fFH7NW7ckrKy91HrcI2mgpOLC81bslwIu3y7/zM6cTmXFOVd/SzpDfDeiYMHD1JZWRm9/vrrOgmSTs71yMm5nvD/Do7OlJ6xW/j/+ISXzRoDW3IO0KaMXdSkaetyr4uS/ve/7Qb3p1arSalUWjSK3NzciOM4A8PGz8+PJBIJPT24t2AI/H7+sE7jLWPVDdYiVgjIXA6NpQRWPsGzY7f2wti1Qz28ca3tIVi8eDEBxrUZGHUPZgwwahVikg79/f2pZctWNHz4KHriiSZCFr6pTS5XkERiaBw4Otaj3r2fpiVLltKhQ4eotLRU51r8S95Y8xyO40gqlRpMANortOLiYlq3bh01bNhQ57piPR+pqami9lvyRgqNHBVXHse3oVdeW0oRsZqWwA1Cg4WJcPiYISSVSkUrEWq7mM+dO0ctWrTQuQ93Tzfh33Z2DoKBJpPJqXsP002N+C09czc1f7Kt8Bl9/fU3wvVUKhXduXPHolZFbm6uQZWE9n3wQjxf7N5KJ68eo3fXLBXGPHjoYLPPVwxiSgJtbGzo6NGjFg3dzMxMo90ifXx8iOM4oRujjY2UpFIpcRxHfn5+NH/+fKMeAkuqjYy6BTMGGLWKypSZ3b9/n44fP05ZWVn06quzqF+/gRQQEGjWQDC22draUpeu3en115MpNTXV5DgOHz5sMe4vlUrJ3d1dOLeLiwvNmzfPKs+HGM+AjY0NvfRKxQQ3Lj6RVm/cSg2f0MTlp76SKBgDqVs+FEIFc+fONesZMTaRqNVqWrNmDckVFSJIHCcxmgypETEybHesv2Vk7aGwlh2Ele7y5ct1vC2WjKfY2FgKCAiwaNh07t6BRowdKng4OI6jIUOGVLkWX6xGwvjx40UZgvxqns9V4TiO7B3sKTA4oNzosqW5i14lWzsleXp6GuR8aHsIrFX3ZI2PHm+YMcCodVSl2yLPiRMnhBdkSsp6mjp1GnXt2oM8Pb1EGwem3NMxMTHk7+9vUjVRP+7/3nvv0d27d4nIunJLMVUVoQ2bkaI8N6Jrr360euNWemNlihAm+f7QV/T3lTxasnw+2drpZumbq4YwJ/97/fp16tGjh6h4vlRqY9FDkJm1l1o/VaGJwH/umzZtMusZsDasxLezri49/7KyMlIqlaLVE63Zt2kzTdWFh5c7+fhp1CZd3V0obvJ4spHZCJ9jdHQ0FRcX64TfzGkzGIM1PqobMGOAUSuparfF//3vfwQY1xi4ceMG7du3j1atWkVxcQnUtm17cnSsp2MIGIvt5+bmUkxMjKjJdMGCBaRQKAwMBjHNifjzm5to9fsIhDzRhFamZNHqjVtpzHiNxkDDxo1oz6/fUefuHYTziRVyEuNi7tmzp0WDxd/fn7p1629Uvlh7W/pmqlFviznjydqEU/2SPGuaZd28eZN++OEHWr16NU2aNIk6duxIjo6OVl1/wIABonp1uHtoPErOLk7k7Kop1/T196GO3SvyBYaPGEbr16+vstHMGh/VHZgxwKjVWNttkd//ww81LnGxGgNqtZouXLhA//vf/2jBgoUGL3lrX5rmVtamPB+8foCHp2YlaGtnZ1QkiNefl8krXOndeg+g9zdsodUbt1JwqKbFsY+ftyjDQn9CFNsy2JpVuUQiIYVCSQ4OTuTi6kn1vfzJPyCUQkKaUZOmT5Grq4fRbHpzxlNxcbHoUlRTho3+vZaUlFBeXh6lp6fTq6++Sv379y+v2jDuPRKbEKpUKsnBwcFiuSj/ednZ25KtrbI87yOIfPy8hFDKshXLhHupitEsNt+BeQgeD5gxwKgTmBKlGTNmjNXn0p/oKvPStLSyNiawY2ev+beXt6Y8ULv7o74CYWBQ8/JJviIxslWbjrTg7dXC5M/H8bt27Ur+/v6itP/FupitXZVb2sxNqrzxxHs1tFfAfFjBUgmmOcOGz71o2rSpIG9sbAsICKCBAwfSrFmzKDMzk3777Tedng+mru/v7y98H0NDQ40agryglSaZUibkNjQICSSZXDMm/wA/+umnn4xepzItyqvSE4JR+2DGAOOxx9Sq3ZgojTZqtZrOnz9P27dvpxUrVtBzzz1H3bt3p/r16+vE7K19afLx/Hr16lmUuVWpVDR48GBhAte4h93LPQO2RiclVzcf4d+9+kdT977jBKNAqbTTWX1as4KXy+Xk5+cnyj1srWeg+ZPNaOfOnXTs2DH66aefaPfu3fT1119TTk6OoBRpzrDIzc2lrl27ChOmUqmkuLg4ys7ONltNEBUVZbFpj77B4uTkRJ07d6bnnnuOPvjgA9q3bx/dvHnT5LjElGkCoC5dutCdO3coNzdXSDLlDdeQEE3vBl4bAdAIJvH/7j+gH12/ft3ss7aGqnaLZNQ+mDHAeKwRu2r/9NNP6ZNPPqHFixfT+PHjKTw8nBwcHIxOtvwmkUgEFUKx2fd80x9+AuA4jubNm0dlZWUmj01NTdW5rp29o45xoL+C5v/r4uZFY8bPoikvvU+9B8YKBoF2XNraFbyPj69ot7DY5jr82B0cHXQaCvFYMzHxz2TQoCFERJSfn09KpZIkEomQIMivtnmdgVGjRlk8r1wupy+//JL++ecfqyc+U2Eff39/Ybw9e/akgoIC4ZipU6dqJnxvb0p4Nt7g867n5FhuHEhp6dIl1Z7hb+33gmkV1H6YMcB4rLF2QtLfpFIpPfHEEzRs2DBKSkqijz/+mH7++We6c+cOLV26VCMNbEX2vbe3tyY+rtd4KCgoiI4fP250jKdOndLZVyYz7FhorHzP39+fOKmUmrboRHJFRbhBe1K1dgUvl4tvbmPJEBs3bpzRZx4dM15nYiSq3Od44sQJio6OJgDUvHlzGjZsGMnlcuE5dOvWjYYMGfJQXOH6YR+FQiGs/Pv160f37t0T9t2xY4dwD+OiDJ8RH6rw8vaivXv3VmlcpmCegboHMwYYjy3WTnStW7emqKgoWrRoEW3bto2OHz9u0FKYR3+1Jyb73li/BKlWDFoikdDLL79s4CVQq9Xk5uams5++IWCpl4H2/vqrPTETrXaS3L59+8w+T3PPKT09nRITE8ne3l54HsbaO4c2DNGRb7YkHqRfPQGA/P0rpJK9vb0NntmCBQtEVW9UZ5KcSqWirVu3CjkCgwcP1qkouXnzpvCsO3bqqPtcJBX/7tGzO12+fLlaxmSKyMhIUdUNLGfg8YAZA4zHlgfl6tSeQPgabt5Nayr7nleJMxd24DcfHx+DyWfUqFEm9xfbxdGYZ0D/fszF1fneAgMGiO/yyJ9/zJgxOpUL+iWMfLKfrgdERstXLie1Wk3vvPOOwbHaiYL8uflmSMY2hUJBffr0oU6dOuk8N3PtkTmOq9byuW3btgmGwMiRIw2MTV58yNPT08B44f877zXzYaXqQKVSUffu3S0amqya4PGBGQOMx5YH5eqMjY0lb29vio6ONirEop99z69aQ0Ia0uHDhykqKlpokmRqk0gkNHnyZEECeeXKlUb3s6aXgTnjwdSEyMfVNTH3kPJJVWm1W/jKlSvCfZnL3zBmMLUIq5A5nj59ukGp3IABAygqKooUCqXJ59m0aTP67LPPqGXLlhVeGalUGIu+G18mk5FEIqHs7Gyr7tMcWVlZghdk7NixBvLWfCdFSblqo/49uLm70Xf/+67axmOOpUuXCs+oqloFjNoBMwYYjzXVXR6lUqlIJpMZ7TugHSLgk874HAH+hX7+/Hki0riDly1bTqGhjUxOYADI3d2dDh06RL/++quOAaC9WrSmfM/GRmZSKvnw4cMUEhKikwMRFxdHhw8fLq9xr3Dn79+/X9Tz4rl9+7YoL0ZAQAD16dOHHBwNkzfHjBlDarWarl27RmlpaTR69GhycXEx+/wAieDRECZVNzf63//+Z9QASk5OFjwptra29Pfff1t1n6b4+OOPhecaHR1tsLK/dOmSIE/NcYaGQIeO7em///6rlrFY4vvvvxfGunbt2ioLfDFqB8wYYDzWVKaXgTkOHjwoSqCH15DXvNylZGevUTCMjY2lo0ePCvLDarWa9u7dS8NHjDLbUKlDhw4GSYLW9rnX9zwYEyuysbGh9PR0g5p0PtzAVyT06zdA1PPiKSwsFO3FsLW1peLiYurdu7eRkIhhuMXFxYUiIiIoPT2dfv/9d3JwcNT5vZ9/sJ6B5UlZWZtJrVYbnehiYmIoLCys3KPQlO7cuSP6Po3p96ekpAiGW0JCgkHmv1qtNigf1d5efuVlAy/Cg+Lff/8lDw8PAkBxcXE634HKaBUwag/MGGA89phzgVvr6oyJiRG1um3VqpXFHAEPD09q27Y9jYuKpkWLl9DGjRtp2vTp5OXlbbCvKQPEXJ97lUpFN2/eJJ/yXgaAhGLjptOIkTEUFtaWHB2ddEoRW7VqZdYoWrBgAXHlbm5rQwV37tyxyouxZ88esre3N/nsGjduTLNmzaJ9+/ZRaWmpMFHxiYbGjmnTthu5uFTE4rt06SboPOhPdPn5+YKHYMSIERbv1ZR+f1JSknC9KVOmCIaAttGgXzrKb/XqOdLnX3wu+hlXleLiYmrXrh0BoFatWulUODAef5gxwKgTGFP069Gjh1WuTmtyEKRSKdmXewM4zobc3Suy8eVyw9JA7Y3jOHJ1daN6Ts5aK+IKA0R7IjHW515/YuIn/KAGTxho/m9M20FR46daHW6wNlSwa9cu0Z4BYyp/+j/jpBylrE8xuFd+P+220BXJhUrq0rUf9eg5WPDC2NjY0IwXXhI8NdocPHhQKEVctGiRyTGbErXS1hF48cUXBU+E9niVSqXR+23ZqiWdPXtW9POtDhITEwkAOTs70+nTpx/qtRk1DzMGGHUKlUolKAgeOXLEqmOrW2JX7MZPoqZWn0uXLhX63I8aNYqkUqlBBz5fX1/iOClNm5FMmVl76dVZb1Gnzn2EpLvKJCI+/XR/i8/sr7/+oqFDhxo1avTRr3yQyWSUkJBA33zzDd27d49OnTpF/gH+Bs/GmLIk700x1To5JnYaPdminXCe+vW9hdCBNuvWrRPO9dVXXxmMWUwYSiqV0q+//mpWCVM7PDBp8kSTJa0Pik2bNgnXN3afjMcfZgww6hRFRUXCS+/atWtWHWuNZ0Amk9HMmbPKJ20HGjwkivzKs/F9/fypb9/+1LFTF2rZ8ilq1Kgx+fkFkJubO9na2hk1CKZMmWK2EdIzzzxjNpyg3ehGqXcNz/o+5ODoJGqi1nbBy+UKk/3tr1y5QlOmTBH257PSxXZa9Pb2FpIt9Vm0aJHZez18+LDJJEn91smvvPomubrWF+6pfYdO9Mcff+gcM3ny5HK3fT06ceKEzu/EJqgOHTpUlCzxG2++YfQ8D5K8vDzBwJw3b95Dvz7j0YAZA4w6xYkTJwgAOTg4VCoRSszL39/fn+Li4uinn34iAOTqVp+25Byg15JXlbthXczWiavVaiosLKQrV67Q6dOnSS6XE8dxFBERYdDyuGJykworYTErbxcXdxowcAzNX/ABtX6qs0VDgp+oebe5tvtdu6zy3r17tHTpUqF9LwDq3LmzYMzw19FPXtRuxOPu7m4w6eozduxYk/cq5jPy9fWl+vV9qXPnvtS8eTjZ2trr5E/Y2dlTq1atqHPnztSuXTtBmlqhUNATTzxBjRo1ogYNGohO4OSrTx41AZ+bN29SaGhouafn6QeuX8B4dGHGAKNO8b///Y8AjTxtZbCmOuHgwYM6xkDm5h/I1laTFCdGxa+srIxmzZoprKz1J17t63p7e4t29cvlcsra/AOlrP+agoObCnkNLVv3IqlUaiDqI7RELhfLMeZ+DwwMJKlUSq6uroIR4ObmpvP//BYUFERhYWGkLJdktrW1paCgIMFIO3z4sNl7MOehsVZ10tT96LvuzW2WwkZpaWlWVVI8rGx9lUolhHACAwOt9pQxHi+YMcCoU/Ad8AYNGiT6GP1yMVPVCfpCLLwx4ObmJSTstW3fkwDQ9OkvmL3mjz/+KCSgGZt49asg5s6da1U+w9vvppG7u3f5ateOIsbNoZmz0ykufjE1atxGJ+kuvE0XcnR0FhWGMDaBOjg40PDhwwVVvR9//FF4rnfv3qWJEyeWhx3k9P3331v8PMzlblib12EunMDfT1CDYPrggw9o2bJlOgmKCoVC1CRv7WfzoJr+6H+PeWEhuVxu0QBjPP4wY4BRp+BLvaZOnWpxX1MJe7m5uaKEWIwZA9NmzCcAFBwcavSaFy9epHFRkRYnXl7PgNfvt2b1KZfLydZW4/Z2dHSjhIlv0czZ6cIWl7CkfBJ3ouyt+2lLzgFa89HnZGfnKDoMERISQtOnT6cdO3YIoY1mzZoRANq1a5dwzLx584R73bp1q8XPhKj6PAPWJDRKpTY0fcaLFBsbq2Ogde3alfz9/S2GjWQyWY15Box9j59++mnBcPvoo4+q9XqM2gkzBhh1ioiICAJA77zzjtn9TGV+66/KzQmxGDMGNn68XVDy046L379/n9557x1yrFcRaxeb0BcbGyuUhVk6hpcX1iQOBtHUaat1DIGZs9MpKiZZJ7yxJecAbd7yIykUCrMTWm5uro6+gn5Io1WrVgSAvv32WyLSlVj+8MMPzX4e+pjLCxCTM2AurKK9gtbE+3WbSemXcYoJGz2s7oj6WKpg6NatGxMRYhARMwYYdYwOHToQAMrJyTG5j6UXvH4jIlMcOHBAxxjYnL2PNqbtoJDQ5uXeiedp7969tGTJEvL18xUmHDd3V6tW+XyTH5lMITpbPzikFb3wcoqBITBzdjqNjdR4T7y8AwVjIC19p1lXt6Uujunp6dSmTRsCQJ9//jllZmYK92vpPo1h7jOyVE0QFRVFgKGUs7EVdJcuXQgAzXhxESkUtlb1ddAOGxnTg9Ae04No+lPd6puMxxsbMBh1iHPnzgEAgoKCTO6zfPly+Pr6IiUlBTKZTOd3MpkMKSkp2LVrFyZOnIhBgwahoKDA6HblyhUAwI0bVzB+XE+UlBTrnOv991fh/fdXGVz/+rUbAICQkBCz9xIcHIz79+/j2LFjeP7555Geng65Qon09HTs3LkTkydPRnBwMM6cOYO1a9ciPz8fRISWrfugT9/x4DjO6HlLS+8DAORyhfAzuVwBhUKJ06dPG+yfl5eH6OhoREZGGjyz/v37Y+zYsYiOjoZarQbHcZg3bx7++OMPAMDUqVMxd+5cs/dpjLCwMKSlpSE6Ohp79uxBQkKCcK9r1qyBWq1GRkaGwXNYs2YNLl68CIDAcZxwP1lZWYiOjoavry+SkpIQEhKC06dPY926dZBIJCgrKwVAmDRpksF3IiIiAk2bNsWKFSuwaNEi3L9/HxzHITo6GjNmzEBYWBhKS0vh5eWF9PR07Nq1C5MmTRLGlJKSgvz8fKSlpSEsLMzqZ2EKS9/j9evXY+/evVixYgVSU1Or7bqMWkpNWyMMxsNCjMZAZbLRrd2MJdl51vegVm3CSKFUCIlt1sSY79+/L2jK8+fXLpXjr9OjZ6RRb4D2NmSYRpGwYaMWOmqFrVp3NLoyNuWWt+Si7tChg1GNAmvIzc2loUOHGr3XuAlx1LZtW63fGcoU+/r60uHDh0UIB9mIrhzgz33lyhXh58uWLSMA5OTkRJGRkQ+86c+D6tjJeHxhngFGneHff/8FADg4OMDV1dXoPkVFRSgqKhK1Kler1YiLi4OzszMcHBzg6OgIBwcHYfv3338xY8YMODu7Y9HiNVAqbfH337/j449X4vKlCwAA/yBfrFr/Lu6XlOLZyCkoKS6BXC7D/fulWLt2LWbNmmWwqgOA0tJSpKSkYOzYsZBIJMjJycGNGzfg6+uLSZMmISQkBCdPnsTatWvLV8KAvYMzGj0RLpyDSI3S0vuwsbFBWVkZZDI5JBIOpaUlAACFXCnse/z4r/jt2GGoVGWIj4/H+vXrIZPJoFarkZ2djaSkJJ1xmvMWzJo1C/Hx8cjKysJvv/1WpdVwWFgYZs+ejc8//xyenp6CNwYAMjMzcfrUafz22+945plncPfuHcjlSty/X+Ghyc/Px9ixYy2uoHfu3In8/IvYv38/IiMjTY7n3Llz4DgOarUaFy5cgIeHBy5evIjXXnsNAPDOO+8gISEBarUaRUVFsLOzg0QiqfT9m8Ka7zG/r52dXbWPg1GLqGlrhMF4WIjRGKjOFRWfM+Du7k2rP9xGbdp2EVaNsnLxnu59ulNq9odka6csz1qvWL1aKuPj471i4tG8t8DGRkY9e0dR8xZdBH1+fuUsk8mpeYsu1Lb9IAJArZ/qQltyDtCceStIJtMVG+LljlNSUoyumKu7dbQ59u7dS4CmeZG+zv/4mPFERHTq1CkKCWlo4BlQ2jqI9sLwn01aWprZe+K1FXhZ38hITXVI27Ztq+wJEQvzDDCshRkDjDqDWI2B6prI9u/fTwDIzs5BUO7jOI669+lP0159TTAKjPWv1zYI9NX69PUMxIxXW/NfIpGQi4sLSaVSg4Q/P78KJcAOHfvQzKS3dVorOzu70+vJq6h7j4Em+xo87Inou+++IwDUsmVLatykscHzy8vLIyKi27dvU+/efXV+3yKsvSj3P68BEBERQRzHGdTl84mJHMcJSapr166l3bt3C+OwthdGVdi/fz85OVmWmK4J1UPGowkzBhh1BrEaA9WVhf3Gm2/oTDwhTzShOYvepdUbt9Kq1GySySryA/j/SrQMg6YtmuisxmEkxmzNxCuRSEgikdDAgQNF6eSHhDTVKauzsZHRG29t0Ck3TEvfSd26D6CAgADhXNYK/1RVZOezzz4jANS+fXt65ZVXDAyqXr17CvuWlZXRjBkv6vxeLjdfMklUYbiUlJSQj48P2dvbG7TD5r0vgYGBBIDmzJlDTZtqFB6fe+65Kt2jWO7cuUPPJU4WxiLWu8RgMGOAUWcQqzFAJF5l0BinTp2i/gP6VaxOOY5iJ0+n9zdsodUbt9L7G7ZQqzYdzMrgPtm6mVFPQVRUlM6LXezEyye2+fj4UHR0tFWeBH6b+vxrBi2Qt+QcoLfe+Zik0grj4mF7BjZv3qxJjuzRg86dO6frGSg3rnhtA57k5PkGiYRiV9B8m2W+FTXHceTt7UPp6emkUFS0p27btm15mMidrl+/XqV7FMPnX3xOPr4Vn9vwsYNp0Xuvl3+P/Sk5OZlSUlIoOTlZ1PeYUbdgxgCjziBGY0AbMSqD2hQWFlLS7FmkUFSEBACQk7MbrUrNFjwCbTp0sUrW18HRyWTYIDk52WyzHL52ng9TyOVykkqllJiYaPbe9aslgoObUPL81ZSRtceoQTBtRjJJpTZCLkGXLl0sKvNVl4t6w4YNBID699e0VOabCgEQqjOaNm+q04QnMzOTOI4jX19fSkxMJKlUKnoFzXs0Pt70Pb3xVqqQ63Hp0iVhLNqf//r166t8j+a4dOkSjRo9UriuX6APbdi6lk5ePUYnrx6jFeveJr8AXx0PVGhoKGVnZz/QcTFqF8wYYNQZvL01WvzWxm7NqQwSaboMbs3ZSn7+FcJBLq7OxHGc8AK2sbGh5i2fouZhrUWtRAUZXCFeX2EcuLi5kNK2Il6vVCp13PQ85kr7pFKp2VUhP+HpbzKZnJo0aU1jxk6iJW+k0ObsfToeAu1cAjEu6oMHD1Y5qe7DDz/UrISHDycioq5du+hMxkpbjUGQkpJCRMbDQPyzspSfQaQxlBQKpSDVHBj0BAGgN998m4iIBg8eLDyvli1bPrCkQbVaTSkp68jZ2ancIOFowpRoOvbPIcEQeG/tG4KHKzk5mdavX0/JyclG+1sw6jbMGGDUCcRoDFSGv/76i3r26iGc28mlnhCb51fJ+iEAiURilY6BVCoje4eK7n8TEqPpxOVc6tyjIwEgO3s7g5VtVfMe+Ot7enrRO++8S8OGjSQ3N3cD40CptKewlh0oOmY6vbssnbK37hdyCaZN13gt9CdYX1/NKpXvgmisE6M1vPvuuwSAxo4dS0QViaL85h/kRwDIy9uLCgoKTCZc5ubmUmhoqE6HSH1PEN9roHuPgYIRFDdBk4PQuHFTIiL64IMPhGsHBQXRrVu3KnVf5jh16hR179FNuE7j5o3o0+83C0bAyavH6IvdW8nGxoYGDRpE0dHROh6u6OhoGjRoEMsZYAgwY4BRJzhx4oTG5e7gUC1lVHfu3KGXXn5JmNBkchmNjhpOUqmUOI6zmJy3ZMkSs+fnV+ZyhT090axDuVGgSeabu3gmnbx6jBa+M09rxS4jiUQitB+uipue90xIJBL69ddfhZ+r1Wr6/fff6b33llHfvv3JwcHRwDhwcHCmNm170LMTZ9Kq1Vvpzbc3UpcuTwsTLG/geHt7W+zEaAn9EIhMJqPY2FjatGmTzrU4jhO8A6+9/prZfIbc3FySSqU0duxYKikpMXgufMXAm29vFIyB1A3fCZ/N4cOHqWFD3RLGwYMHC94B/c6B1lJaWkpLly4Rwh8KpYJeeW0G/XnxqI4hcPLqMRoxdii5u7uZ7bHh5ubGqgkYRMSMAUYdQYzGgBjUajVlZGaQl7eX8LLv1qczfX/oKxoxdijZ29uLSs5r1aqV2evwK/N+QyeSRKKZ1PwD/QkArd64jE5ePUa7jnxjMBl369aNlEql1QqG2uPjexg888wzZo8vKyujw4cP04KFi6hL1+5CeEB7c3H1pM5d+tHk52aTp6cmjGKpE6OYlaqpEAjfp8HFxUWvZFKT7S8vz+cwl3CZmZlp1KPBG0gAaNjwaJ2cidZPaUITHTp01Ll/3lCZNGmSyQ6YYjly5Ai1CHtSOHf7Lm3o+5+/NjACTl49Ricu55JcockPMddjQyqVkkKhYDoDDGYMMOoGYjUGzPHbb79Rl66ddRK11qavFF6+CqWC5HK5aAEb/ZUnD28whDRsRc4umjyHTt26kIenxk3/yY4sOnn1GP19JU+Y3DQueyUtWLCA7ty5Y3HCI6rwPsydO9fohPfZZ59Z9XyKi4tp7969NGvWbAoPb6dTlshv1VH3XpkQiLZXxsbGxuJnxHeB5L0LcrlCKAXlt9i4FwVj4NWZb+r8jpeG5stZJRKJySZOlrwhhYWF9MKLLwjelXpOjrR05Xz6+0qeUUNg9y/f0qRpEwiA0VwS7Wfi768xMKta3smo/TBjgFEnEKsxYIxbt27R89OmCi9jhVJB02cm0u/nDwsv4COnfhQmAnOTsEqlElT7IiMjTXbV4ziOnmiuWWXa2zvS3tztwiR98I/dgjFgZ2+nyRuwsxNi4cXFxVb1V9DvZWBjozEwtm/fbvWz0ubu3bv07bff0rRpM6hpsycr7a3Qp7KiUNqJmdaWVo4anUDLlmeSg4OT1s8lNOOFhbQl5wBlbv5BEGdq0qQJde6sMRrfeOMNs5UKlrwh27dvp6AGgcI1+w/rK3z+2tvv5w/Tso/epI7d2ut8nmK/Aw9LGZHx6MKMAUadwBqNAR6VSkWpqank7lGRONd7QA/ac/Q7Onn1GP1y6kd6IWkqhTYOERIDTXkG9Nvj8pOwl5eXUVd063ZPC+GBt95fSrt/+VbITThxOVcoGePHJZGAfv75Z2HFbI2WQNfuY8nXT6Pc5+buRa6u9QkA7d+/v9LPW5/qEiKqqoaBdmKmuRbHxppQtW3XgxYvWUdKpb3wM6nUhl5LXkVz5y0Xfta1azcaO3YsAaDw8PBKGS7Xrl2jqPHjhHN6+XjS2oyVBkbA57u20PiESHJyrqcz1tZtw6rleTPqDswYYNQJjGkMmEvm+uWXX6hd+7bCyzUoJIBSsz+k7/Z/Ts9EjSRPLw+DyYJfoeu//M3Ft42tzAGQrZ1mBdqxa2f6+0oepX+2vjw04SusBH39dVevP/74o3AtLy8vsytSPi+gfYchFN6mv8bQkCno7XfSqF49TeWCdvJgVVGpVKRQiFP6s7GxoZ07dxr1DlTVqOB/7uzsTFKpVKj40DbGOI6jjIwMysrKInd33QoKP78QenXmmzohA7lcSe4eFTkkMpmMpkyZIvzbGsOFz0lxd3cTwgtR8WPo17MHBQPgl1M/UvKbs6mZlkIlAHL3dKMOXdpSs7AmJJFIRHsGlEolyxlgMGOAUTfQ1hjQX6VrJ3Ndv36dJk56VqtGXUnDxw6hLj07kr2Dnc7Lt6L0T0otWrSgl156Sfg5H88WE9+WSCTk7mGo+Gdra0dp29bRiLFDhUQ0qY2URowdSuMTIspXjPWFcbzw4gtEVCGWxFcYmEqEa9GyBw0a8pxwvekzFtCWnAPCyvfEiRPV+hl07dpVtL4CAGratCl98MEHdPfuXWGf6vAMyGQyKikpMRCV4itDANDRo0eJiOjKlStCo6EKQ82B4uNf0unZAIAcHZ3Jy1vj0h8+fLiosBFRhYHy119/Ub/+TwvHhTzRgLZ8s0nISdn0aQoNGTVQqCTgv3sNQgKpvrenwffHxcWF/Pz8LOYMsGoCBhEzBhh1AG2NgbVr15ostZJKpWRvX+ECrufkSFIbqcFLVruEjz/e399fRw+e36dVq1YWk7j8/PyEc7u5Bwj/9vDyKB9rgIFHgb/WOx8upcAGmiSwFmEtdM6tUqno4MGDBuEJANSyVS+KmbCIpFLNhDZo8DghGY5P/Dt//ny1fg5vv/22KCGi0aNH634O9erRtGnTBOOkqjkDMTExOj/nPUQlJSXk66upeBg3bpzOPl988QV5eXlpfQc46tN3pI5SpKOjM40cpUncCwxsQABEJSsuWLCA5HK5kP8hk8to2szn6I8Lv9APedtpxqypglaCcC0nR6HTpbZHomfvHrRy1Qr6559/qq3HBqNuwIwBxkOlqnXWleHPP//UrPKVSlGrdGPufxdXF+rdu5fF4zmOo7S0NBo6dKigQGiNwJBjPQ8dg8LcxMlxHH2+K5tGRQ4X7s+Yu7ekpIT69x+ocz+ubr7k4KgJBzRv3kZQEszc/IOwz40bNyr5xI3zxRdfCAaJpZ4PN2/epOXLlxvU7D/99NO0cuVKs59DVFSU0WqCqKgokkqlZic//rPgOI7+/fdfnd/dunWLYmNjdcNC9rpaC37+IbpS0g4OFg0X3gABNLH+L/fm0Mr171C3Xp11Qke8hoX29ZycnWhMxDOUkZlB+fn5Bn9XVemxwahbMGOA8VAw5Zo/evToAzMO+GvyzWM4jiN7e3uD9rM82m5qiURCQQ2C6IUXXhBWyNauSK0t8ZPaKMonkHrUqnUriy51f39/GhkxjFI2rxYmh3PnzunsV1RUJLTttbGR0ZSp80iprAh3uLt7U+rG7wSvwMaPtwu/Ky4uNjtua+FbDT/xxBOiez6oVCr67rvvaNCgQTqTrKenp04LZn6S4z00zs7OBpOfRCKhKVOmmB2jtgzzSy+9ZHSfHTt2kLOzs1GjEQDZ21ck89nY2Fg0XCQSCSltlZT44rMUOymKnF1NnxsABQYF0NRpU2n37t10+PBhs/oFxrxDlnpsMOomzBhgPHBMJdBpt32tqiStqWvq13b7+/ubXRHxLtuioiKdn1sTq1YqlVRWVmbVMXzZIgBKSVkv/lq2Sso9e1A4duXKlcLvCwsLqWvX7uUuZDklzXmPtuQcoGbNnhL2nzN3mY54ztp1Fav36k4q2717NwGa0jsiyz0f9Dl9+jS99NJLOhOxVCrVkTWOi4ujbt26kb29vcEEKTaBkTceHR0dTUoJX7t2jezsKowqUx4lfiWv3aFSP3fDy6c+NWn+hFkDILzNU7Rw0UL6/fffhedl6u+KD3l17dpV5xnExMTQwYMHWbIgwyjMGGA8UMTELfkuepWRpL137x4dO3aMtm7dSvPnL6SIiChq1qy5WRe7udpufmUYGRlJGRkZdOXKFTp9+jQtWbLEqlW+vb09derUiRo3bmwxZyAgIIBiYmIE1//U56dada1j/xwiNw+Ny793n15EpPFKtGunqaCQy5X0WvIq2pJzgBKnztOZZFqEtRca7mzJOUAr39+icX/b2Zu9dmXYv38/AaCQkJAqnaewsJDWrVtHLVq00LmXTp06UWZmpmBI6RsbYj07sbGx1LRpUwJAb7/9ttF9Fy5cqHHTOzkRxxnPK9FuT52YmEj29vY6EsnmJn+FUkH9B/ajtWvX0sWLFw2ub+7vKi0tTejIWFXJZ0bdgRkDjAeKNa51bYnU999/n7777jvavn07ffvtt7Rx40ZavHgxTZw4ifr1G0DNm7cgV1c3ky/Tyird6bfu1V/lWRP/154YxLTH1Q5TiC4Ls1XS31fyqFvvzuVufze6desWtW7dpnxSsaMFi9bQlpwDtPTNVEFQaMKEBLKx0SQKznhxoWAMvP1OGgEgV1c3s9euDEeOHCEA5O/vXy3nU6vVtG/fPnrmmWeEe+E3Y4aUNQl169evF75H+kqRZ8+eJaVSk7yXmZlJ586dIy8vH1Gfd1RUlMnvrKurC0XHjqdPP/2UCgoKzN57TEyMyWZL5u7RGslnRt2CGQOMB0ZlysCMqb9Zu0kkEpo7d67ZPARTuvx+fn7Ci74yRgY/9iFDh9D7779PL7/8MjVv3txoiZ+p9rh8yMCyQaPJGTh59Rgt0Gpa1Lx5i3LXsAMteSOFtuQcoJT1X5OLiyY5sVevPlRWVkYzZ2pUGevVc6WNH2+nLTkHaNGSjzTX9queCVubY8eOEaCJ91c3//33H7322mvk6elp1pDiXet8NYh2J0Xtz6K4uJjq19eIL23atEnnHEOHDiUA1L17d+H7U1xcTE/362/Vd0R7a9e+Hb333nu0cOFCeuWVV2jy5Mk0btw4Gjx4MHXv3p1at25NDRs2JC8vL7K1tTV5j/rGt37CLp+wOHTo0Eo9Z8bjCzMGGA+MygrEmFpd29jISKm0JTs7B7KzcyCFQmnURcsfay4PQf+a2slcGje5HY0cOZJWrlxJ77//Po0dO5YcHR1FZfjz43BwdKAlSxZTcXExHThwQLNSL49Hm0ri0k5g4zjOokfhi91b6eTVY3Twj106z8Devh69+dYGoUKg0RMaRbrAwAZ08+ZNItIkF/IlcD17DaUtOQfotddXEgAKDW1k1WctBr5zpLOzc7Wfm6ekpIS6du1qtr7+8OHDZG9vL+QacBxHQ4cONfgsFi9eTAAoLCxMmPS/+uorAjSJgX/88YfO/mVlZaJ7U1gKE4jZ9P+utI1vc1oa/PUt/V0y6hY2YDAeELa2trC1tcXp06fN7nfmzBlhXwAIDg6GWq3GhPiXEBAYDG9vf6hVavxy9AAO/7wPf/35K0pKig3OI5FI4OPjg0mTJiEkJASnT5/G+vXrkZ6ejrS0NEREROhcUy6X45NPPsHZs2exZs0aXLx4Ed26dcNLL72EXr16CeMBgLi4OLRp1wbHfz+O9PR07Ny5E5MnT0ZwcDDOnDkjHN+wcSjadQrHwR8P4dRfZzB79hx8tO4jDB0yDBzHISkpCS+//DLs7OwgkUiMPguO47B4WTLkchlemTLH4Frr1q3DxYsX8dbqRWjS/AkAgFpNkEgkICLIZHIsWPQB/P2DAQAbN6zA3yfyYGtnh2+++QrOzs4AAKVSiZSUj9CnTx/s3vUFevQcgJKSEgCAQqGAWq0Gx3FWfOLmkcvlACBc40Egl8uxcuVKhIeHIyEhASkpKZDJZMLvS0tLsWLFChQXF8Pd3R3Xrl1DWloaIiMjDc41efJkLF68GHl5edi5cyc6d+6MadOmAQBeeOEFNG3aVGf/4uJi3L9/HyEhIWbHyH+/qwLHcQZ/V0VFRSgqKsLly5cRHh4OX19fJCUlGfwtTJw4EWq1GtHR0WjWrBnCwsKqNBbGY0JNWyOMx5vKCMRoMrqV9Pr896n/wDHk7RNosCripLoeAWsSBvVdtTKZjAYMGEC//PKL0TGq1WoaGzFG53q9+nUXwgk2MhuytbM1GKOTcz1BLU4ikVBISIiomvPBIwfQyavH6NBfe4WQgXbimb2DHaV/liL0KPghbzv5+msLF3kKOQCTE+cIP8/J2Wb0umPGahT2PDx9qEmTlqI8K5XhwoULBGgqAB40purr+Qx+vovgmjVrzGbXP//88wRo9A2Sk5OFMMCdO3d09rt69SolJSVVOq/E1CaXK8nDw4dCGz5Jbdr2oH79R9O4qERq0qQl+fv763yXeMlnsW2LmfogQxtmDDAeKNaqoPETojH3v4Ojg85LVLucS2zCoLFGNDKZnJKS5phs1vLusnd1xjFi7FBBIjbv3E/095U8+vtKHn27/zOavfAV6tKjo45kLD++w4cPixLL4V3/rya/IBw/cuRI+u6770ihVOhIJfcb3IfcyhspKZS2wmSbvXU/LXkjRZDMnTVrtsnP6OrVq2Rra29UWbE6M9CvXbsm3E9ZWVmVz2cJfblhW1tb6tmzJ7Vp00bns2ncuDGtWrXKYIIn0pQzVrQx1iRfZmdnC7+/ePEivfzyyzqKiZYkgM3lxHAcR/4BgeTk7GLRUDBmAIeGhorKWWjYsKGoDpGMugMzBhgPnMzMTOI4zmICnX7c3t7BnvyD/MneXrcngNJWN8HPGslXb29vkkptaNqMZHrr7Y3UsFFFeZqXlw9t2pQhvBxzc3Opf//+OqtyqVRKqVs+NNpHXnv77d+fKTX7Q4qZOI6kUqkwPlMrVl5z4b01bwjtiT293IX7W758uVHdBF9fX5JIJGTvUI+mvDxXuJfX568mZ2fN8X379jObTJmbm1ulNrti4UWYANC9e/eqdC5rMKZncPz4cZo6dSo5ODgIY3J0dKSpU6fSn3/+qXP86NGjKzxCvXqRWq2m8+fP0/PPP6+TbNq6dWt67733RIkM2dnZmS0ztLW1ox49elNS0mxKTU2l1as/oJdeeoVGjBhN4eFtheoF7cTUtLQ0oTGSOaVPXgtj06ZNBLCOhQwNzBhgPHB492VQUJCuu9venhITE3UyuiUSCQU3bED+gb46L0cHRwdydKqQflUo5JTwbDzl5uYaTabSRzsxb+jQ8YIbPXvrfprx4kJyca1o9NKmTTtatGgR2djYGNRq86JF7619w8AA+On4bkr7ZB3NXTyTxowfSWFPtSClrcJgfMZWrF27diVAoxlw8uox2rBljTAe3ntiSath1vy3BI8Kfz8NGoSYFM7hqazWv7WUlJQI92RpTA+L27dv0/vvv0+NGzfW+b717t2bPvvsMyorK6O3365oFZ2dnU2TJk3SaWrUvn17+vrrrw3EgEw1iOI9RcaMOlNegICAIBoxYhRNnz6dEhMTqWvXrlSvXoXSobZBoS82pB/q4f8W5s6dyzwDDAFmDDAeGHfu3KHt27fTtGkzBPf1+PHj6ebNm7R582YKDQ01uzpSKOTUqEkoOdSrWL05uzhR0uxZdOnSJSKyrnyRd/M2aNBYR3VvS84BSs/YTSNHTSCZTG7SBUukG3dNfGkijU+IpPad25Cru2m3rqk4svaKVVsz4OTVY9S4XJFOqVTSuHHjLE7Wfv7+1L5LD3L3rC9c187O3mCVa2wMVekCaA1qtVoY2+XLlyt9ngeBWq2mHTt2CD0lKibhAHJxcTH4PHmPTd++fY22ev7111+FHgf8pBweHi4Yd9b2xjC1yWQyat26NcXFxVFERIRgaCQnJ5sM9fCfJcsZYGjDjAFGtXHp0iXasmULTZqUSE2bPWkwwfMJT9oyqsnJybR+/XqaP3++sDryC/Ch9l3a6IQD/Px96d1l7+q0s+URu7IdO3askJC3fEWWjjGwecuPlJa+k97/YBu5e3hXqlbc3GbpfL6+voJmwHcHPhOOmzNnjnhjR6GgoOBGwrGffPKp+Q+MKl/+WVl4g6y6OyJWJ2fPnqWZM2eSq6urzmeorypoLqfi9u3bwnFXrlwhtVpNsbGxFtUoLX2vjBkLnp5e1KlzF5JIJDrSzLxHQDvUc/jwYQoICKCQkBAmPsTQgRkDdZDq6ByoVqvp5MmTlJKyniIio4R6dUurYzEJhdovvOZPNqNN6ZtMvkCJrEtS7NmrDwGgwUOiaEvOAXrrnY+pe48BpFBoDA+5XKET4zfFggULiJNyJFfITd6zXC6jcVGRlJaWJiqOzCcOtmoTVv5CVwqTitjJWvvZ8XoC5niYngEiEmL0p06dqtJ5HjR5eXnUt29fnUnYmpyKkydPEqCRpSay7jlrex7i4uJo6NBh5OFRX+e7ZWfnSO7u3kILakuGCm8Qh4RouipKpVImS8zQgRkDdQhzQiT66BsMZWVldPToUXr33fdo0KCh5O7uYXE1bGtrR6OfGUtbt24VJjQxq3gfHx/y8vai7777TvTkYyoxT78x0ebNm8vDDR70/LTXSSrVTcqbO3euVZOvJvyh6wFp2CiU3nnvHbp+/brF8WnHkX8+8QN9/cM24TwvvviikG9RmXK1devWiXp2DytngIiE1fbx48erfK4HwZEjR2jYsGE6z1GhUIjqL6H9fHiRqQYNGhCR9R6Y4IZBBIBiYqOJiKi0tJS+/vprGjt2HNnZ2euMT6yhwn9HunbtyjwCDAOYMVBHMNfhTHuy1DcY5HI51a/vRUqlYR29RhVQd2WsVNrSkCHDadu2bULnP35VlJyc/EBXoXxiHp/hzXEcxcTE6Lz4ioqKyNGxXvkkbliPXZkVHL+KGzFqBO3cudPkuHNzc3VUCnk9ff7/U7esoSdbNtOMzUZK//33H8XHx4sKM/DuZf+gAHIpb4E7aNBA0c/NmvLPquDt7U0AjMbZa5IDBw5Q//79Db7jUqmUlEql6G6VvPH82WeaUE+7du2ISPdvwJxXjv9ePTN+pDCG/v376xjwUVFRtGjRYurWraeo7wZvqFRXqIfxeMKMgTqA2OYlfGKcfq05H8uXSmXk4elLjvV0E6rkcjn16z+QMjMzTTZYiY2NJX9//4cSn37ppZcIAEVERBj9fUzMBAJM14OL9V4AIBcXF0qen2y0s5wxzp8/Lzy3yMgo8vCs8LAMGlExGXXp0pn8/Px0JiVLYQYAtOWbNOrSoyMBIC9vL1FjIjLtuTDWP6EqBAZqBKQOHTpULeerKnv27KFevXrphLPGjh0rGC0vv/yyVd/ZJ598ktatW0erVq0qN8gGEZHmbzA0NFTIWTHmldNvVNWsZROz2g/p6elWGdfz589n1QMMkzBj4BGlOuL6PGImNw8PD4u6+9rxaKnUhnr27E0bNmyk27dvWxwDX8vO10GboyrxabVaTSEhIQSAtm7danSfH3/80axSHG88mes8p/0smjZrTnv27BE1Pr5ZDwAaMyaSJk2epOMd0Hf1h4aG0g8//KBTrjZ37lxKS0srN9T8dMbSe0APem2ppgGRhJNY9f3hPSv8hKVQKIz2T6gKjRppEhx/+OGHajuntajVatq+fTt16dJFx7MTHx9PJ0+epDlzNKqNAQEBdPfu3Up5iviV/KhRowwMLVMxff3vlRj3vzWGip+fH6seYJiEGQOPGNbE9cVQVlYmys3ZqlUrUa5oT8/6tGbNGrp27ZrVY8nMzBQSnR5UfJqfbBUKhdHKAyKiu3fvWnyJZmZmklQqNagV9/X1JalUSlOff42ixk8lpbIifjts+Ej6999/zY5vz549wv7h4W2Nahnwnph+/foJ3pHc3FwaMmSIjjyx9uQzcWJF7XvyW7OFn+/cudPqZ9ivXz8CQB999JHVx1qiefPmBIC+//77aj+3JdRqNX311VfUrl07Ha/Wc889R+fOnSMiTTMlvuLh008/JSLxORWRkZH0zjvvUIMGusm0HMdZ1Ijw9PQ0qBQQ83ciNtlVJpORVCpluQIMkzBj4BFCbFzfFCUlJfTrr7/Shg0baPr06dStWzdBmMTcxGdNklpV3YzZ2dmiuvFV9qXF68cPGTLE5D4qlUpUd7nExESSSqWCYcZxHHXvMZDeeudjoSQxZf3X1K37IOFFrlAoac6ceSZDHJ9++qmoSUI78cvU94I3Glq2bE0qlYrmL5hPAMihnoNQlpnwbILVHqbExEQCQLNnm5YwrixPPfUUAaBvvvmm2s9tCpVKRZ988gm1bt1aK7dFSdOmTaP//vtP2E+tVgsVBP3799dRorQmp6KsrIy6desmelL38fGh0NBQql/fS+e7IXaSF1uumJqaWi2eRsbjCTMGHhHExvX5F87Nmzdpz549tHz5coqNjaWWLVvqqKLpr0zMvVgedq35g4xPh4VpyvI2bNhgdr/Ro0eL9lCoVCpKSUkhALQpY5eBYNGWnAMaaeOGTwrP3NvblzIzswwMJ/485nIWtK8/dOhQ0RNRaWkpPRWumfB4Y8BcjNoUvOKeqZyLqtChQwedVfeDpKysjDZv3ix4IwBNqd8rr7xiNMcjJydH8BacPHlS53fWfmd79+4tnEvMpK5QKOiPP/4QSlyt+Xs0l08ycOBAwVNWHZ5GxuMLMwYeEcS4Iv38/CggIICCgoKMTvqApld89+7d6YUXXqCPP/6Y8vLyKDo62uy5i4uLRbsbqysByZgkb1Xj02fOnBFejpbCGLm5uVZ5KPhOitlb9xs1Bnhp4+kzFpCLS0VSYLt2HXQy5994402rVn5SqdSqsr8///yTbGQ2Vgnk6MNPinwmfHXSvXt3AnSb/VQ3paWllJaWpiMxXK9ePZozZw5dvXrV6DEFBQVCwua8efOM7mPNd7ZFixZWT+r8d9fHx8eqPAUbGxtNgyN/fx1Dxc3NTejO+KCaTzEeH5gx8AhQ2XK2wMBAGjp0KCUnJ9Nnn31G586dMzpRixX6sbaWujow1kSmsrz7rqa7YI8ePUTtP3HiJJ1GL+YaKPn7+1P3HgNNGgLa26aMXTRiZJyOtHFMTBxduXKFXn75VdGTRFpammijgTfSqqPp0C+//EIAyNPTU9RztAbeDZ+Wllbt5y4pKaGUlBQhgRTQVHvMnz+fbty4YfbYWbNmEQAKCgqy6PkS853lqxHEliVqJ5AuWLBA9OKgW7dutGDBAvL29iaJRCJ4ABQKhegwFINBxIyBRwJr3fTffvutxZebPpbcnEuXLn1oteYPis6dOxMAWrlypaj97969K7hl+Zi/UqnUWe1VJHnZ6OQKWNo2b/mRlq3IorZte2i5qB3Izc1dtGfAWgGkwsLCahEQunHjhjBmU6WilWXQoEEEgFJSUqrtnMXFxfTBBx9QQECAMG53d3daunSpqEqXP//8UwixffHFF1Uej0qlEjL9R48eLbpMVdtItGTA8+2u9b+nHMfRzJkzqV+/fg9NSIrxeMCMgUeAhyUJa8nN+bBqzR8Ely5dEiZ0Sxn92vTt208nti6VSqlVq1a0ePFiQcGQb3ksxgjQlzdWKJTUslV7cnZ2MwjpmMpZUKlUdPPmTfLz87OqFLOsrKzavkdOTk4EgH7//XdxD1IkI0dqxHRWr15d5XMVFhbS8uXLdSZTLy8vevfdd0UbMWq1WtAZ4DUBqsr169eF8fz888+ijOzo6Giyt7fXMRIttbuWyWQ68X99nYKHGfZj1H6YMfCI8DAlYc25OR9ELP9hsHbtWgJAbdq0EX0M/7I1VdpnYyMzqB4wt02bkWwgb6z98tY3BvTryPXLSvk4sNjwTXUmgrZs2ZIA0Jdffin6eYqB76y3bNmySp/j7t279NZbb5GnZ0XbaT8/P1q1ahXdu3fPqnNlZ2cLbvXTp09Xekza/PXXXwSAnJyciEi8kV1UVEQdO3bUMRKN/T3a2dnRU089ZbIjIW/YPqyEYMbjATMGHhEepiSsGKozlv8w4GvjlyxZImp/y8872qrQwFvvfExSqfnPj+M48qzva2AQ+Pn50ahRo0gqlQpJYLwhwceCxSQ6VqeHafjw4VaFXMQSGxtLAOiNN96w+thbt27RokWLyM2twssSFBREa9eupeLiYtHn4b/bt27dElbSycnJVo/HFD/88AMBGsEoHrFGtqnvJe8tMhYe0I7/8xP8gxb3Yjx+MGPgEaI2u+lrklu3bgkx3z///FPUMWI8MdYkDXbvMcDiCt7f399ojwdjXgLt4zp37qwjS2vue1FdHqYXX3yRANALL7xgdj9rmThxIgGwOFFpc/36dXrttdfI2dlZeF4NGzakDRs2mO1mqY++54X/zvj6+lrtUTDHtm2aZlMdO3Y0+J0YI9va94D2Z8onI9rb2wstw43BcgYY+jBj4BGjtrrpa5LMzEwCQI0bNxa1vzUraKlUSn7+IRQS2pyaNgunVq07U/sOvalb90H0dL/RNGToeBr9zLOiV2La1SByuYJmJr1DSqWdRc0DT09PatiwYaVXlvx5xHqYeG39YcOGmd3PWp5//nkCQHPnzrW475UrV2jWrFnk6OgoPLOmTZtSRkYGlZaWWnVdc8JN1d3O98MPPyQANHTo0EqfQ/89IJfLzb4H+FW+t7c3hYSE0OHDhx8pTyPj0YcZA48otc1NX5OMHj2aAFBSUpKo/a2NrYvdKnM+Nzcv0RoPSqWSzpw5Q1evXq3WlaUxvvrqKwJAYWFhFve1Br6J1PTp002q4eXn59OLL75IdnZ2wnMKCwujrVu3VkpBz1pBr6oyf75GCfLZZ5+t8rnu3LlDACg9Pd3sftrfrcOHDxOR6e+Br68v8zQyDLAB45GE4zjY29vX9DAeeYqLi/HNN98AAEaMGCHqGFtbW9ja2uL06dNm9ztz5gyUSiVycnJw7949FBQUoKCgAHcLClFYUIiCgkIU3itEwd0CbNu2RdT5OI6DWq0Wfnb9+iUAQEhIiNljg4ODUVxcjODgYACAUmkLV1c3uLq6wd3dHR4eHvD09ED9+vXh5VUf7777LrZv347FixejpKQEHMdh3LhxeOmllxAWFmbxGTVo0AAAcPbsWRARJBKJxWMskZeXhx07doDjOKxYsQIfffQRxowZgxkzZiAsLAznz5/HW2+9hXXr1qGkpAQAEB4ejnnz5mHw4MGVHsPy5cvh6+uLlJQUyGQynd/JZDKkpKRgz549WLFiBVJTU6t8n1evXgUAeHp6Vvlc9vb2sLW1xZkzZ8zux3+3hg8fjvDwcABAREQEmjZtihUrVmDp0qUoKiqCXC6HSqXCkSNH0LJlyyqPj/EYUdPWCINRFb744gsCQP7+/lZ5Uaq7ekPM+Xx9+eTBisqC3bt3i+4LoWlOJLXKW6G9OTm5UOPGTalTp640bNhIenbiZJo373V6//33KScnh/bu3UvHjx+nq1evCs2cAND169dFPQNz8KtU/QRJPhu+Z8+eOnLaHTt2pG+//dZqz1hBQQGdPXuWDh06RF999RWlpKSIlgSurmS6Z555hgDQ8uXLq3wuIutaapvyTvGexk2bNrEKAoZRmGeAUav59NNPAQDDhg2zauU4Y8YMpKenIyEhwWDFWFpaivj4eOTn52P69OnVcr4JEyYgPz8fAGBv74jCwjsAgKeeegoRERFYv349Zs2aZbBy5Y9fs2YNgho0wuLFH6Hkfgnu3LmJO3du4c6dW7h96wZu376FW7duan5++xbu3L2Fgru3UVBwG/fvFwMAbt++idu3b4q6H47jIJFIQETo2q07ggIbwN3dHfXre8LLS+N98PT0hIeHBzw8PODu7m507IDGIxAdHY3IyEiDZzNr1izEx8cjPT0dRITu3btj3rx56NGjByQSCUpKSnD16lVcuXIFV65csfjve/fuGR2DGM9LUVERioqKYGdnJ+oZmeLKlSsAqsczAIj7rl65cgUKhcKkd4r3NJ49e1bwjGmjVqtRVFQEW1tbcBxXLeNm1C4kREQ1PQgGozKUlZXBy8sL169fx65du9CjRw+rjs/KykJ0dDR8fHyQkJCA4OBgnDlzBikpKcjPz0daWhoiIiKq5Xznz58H/6dWv74/Ll8+D0DjUr5w4QLCw8MFo8CYIZGRkQEiQmBgIzw/bR4CAs1Pbtr877tPsD7lHQQ1aITIcZNx5/Yt3Lp1A7duaYyDO3du4u6d27h79xYKCm6jqKhQ9Lm1cXSsBxcXV7i5ucHdXWMk1K/viR9+2IOrV6/i1KlTJo2doKAgSKVStG7dWmdyv3PnjtXjUCgUOobKrl27MG/ePMybN8/kMQsXLsTSpUtRWFhY5ZBI8+bN8ccff2DHjh3o3bt3lc7FY+q7tXbtWly+fBlpaWnYvn07du/ejZMnT5p8ziEhIejdu7cQDsnLy8Py5cuRnZ0tGAPaoRtG3YEZA4xay549e9CjRw+4ubnh0qVLsLGx3tGVl5eHFStWYPPmzcLLcOzYsZg+fXqlXoZ5eXl4/fXX8c0336C0tBQcx4E0ibpwd3fHtWvXEBzcFOfOnYBarcJ///0HX19fxMTEYNOmTfD29sbkyZMNDJPx46OxZcsWFBYWgOOkGDxkHJ4ZMwEymdzimC5d/A/Tnn8GNjYybPj4f1AolGb3LysrQ8Hd2/jwgyX49deD6Ny5D0JCmwmehdu3b+Lu3du4e/c2Cu7eQmHhXRCpTZ6P4zgkJydbnIyTk5N18il4bGxsynMiPIVJXv/f2j9zcHDQmdBHjx6NgwcP4uzZsyYnydDQUPTq1atacgY8PT1x9epV5OXloUWLFlU+H4/+d5XPP5k7dy4WLlyIvLw8hIeHG/XAaBuVrVq1wmuvvYaCggLExsbC19cX8fHxCAkJwenTp7F+/XpcuHDBamOYUbthxgCj1jJ9+nSsXLkSsbGx2LBhQ5XOxbtJ7ezsqrQy1F7BRUdHo3HjxsIK7uLFi1Cr1XjyyXY4cSIP9+8X49SpU7h06RK6dOkCIoJSaQuJBEYNk/z8fMQnTMR3334NAPDy8kfi1Dlo3Nj8hENEeG7SMNy4cRWvvb4SzZ8MF3cvmWvw6Sdp6NlrMCZOmmnSfaxWq1FYeLciRHHnFm7cuIpTJ//CqVPHcfHiP8jIyEBkZKTJa2VkZCAqKgorV66Er6+vzmTv7Oxc6c/k1KlTaN++I27cuIaoqCijnpf4+HhkZWXhyJEjVV4Nq1QqyOVyqNVqXLx4EV5eXlU6nzH47+rq1asxc+ZMKBQKHDhwAK1btzbpQVi3bh0uXLggHA9ASCrVfyYlJSWIi4vDli1b8MsvvzAPQR2BGQOMWonGZR6I8+fP44svvsDgwYNrekgWV2Z8bLz5k21x+tRx3Lt3F3v37kWfPn1x/34J5HIF/v33H3h4eJg0TIgI2dlbMWVKIm7cuA6JRIKevYYhOiYRtramq09WrkjGj/u2Y+SoOIwZ+6zFezl37iRS1r2DUyf/gFqthkKhRIeOPTFg4BgEBTU0esy9e4X49ehBHPxpD37LOySEG8R6BpYsWYJ79+5VS+UCAJw4cQJdunTD1auXUa+eC+7evWXgeVmzZg0uXryIlJQUTJgwocrXvHr1qpArcP/+fZN5FNUBEWHo0KH48ssvERwcjKNHj8LJycmst8vd3R3vv/8+3nvvPXh4eOh4S/RDBlKpFA0aNEBOTg4zCOoAzBhg1EqOHDmCNm3awN7eHteuXYNSad71/TCIi4uzGLMNCgoCQaZZSd++ATc3d1y/fg0SiQT79u1Dp06dRF3rxo0bmDp1GrKyMgAAzi4emDR5Jp56qqPR/Xd+/wXWrnkDjRuHYcGiD82e+8cft2P1qkXw8fHGs88+K7iPU1JScOFCPqY8PxedO/fVjOP6VRw6tBeHDv2AE3/lQqUqE87j4uKGfv36YffunZBKpWbd9EFBQcjPv4jx0TFYsngh/Pz8RD0HUxw/fhxdu3bD9evX4O0diB49BiAz80M4ODhCpSrTcbMDwHPPPYcPPvigStcEgD/++APNmzeHq6srrl+/XuXzWeLmzZto3bo1zp07hxEjRiAnJ0cwpkx5u9RqNRwcHJCUlCQYaLxHQT9koJ2T8P/2zj0sqmr949/ZwwAD3lABZYBU8IYaauTxbopoeUnzmIICotDJLFM7VmqmGCXdD1aWFpASiGjn+OuiefSUmJqpSHA62cVETZEy0VAIdGDe3x/D3s7ADMwMcwPez/PMI86s2WvtvWGv73rXe+EtgxaOXWMXGMZKrFq1igDQzJkzHT0UIjIvq6GLi4K8Ovrohf1ZWrhn7969pFIFSMcZOmw8pabvqZcu+Y03dxAAkru40AdZX1heYyE2luRyOY2PmE6BgT3rhS9269aDHn98KR0+fJhu3rxJsyOjGk23HB0dXSczoystXryErly5YtE1KSgoIC+vjtpUw/49KDVtNwUEBNfWRHhJCrN7+OGH9cb++eefW9SfLgcOHCAA1Lt37yYfy1SOHz9Orq6uJv8e1U26Ze+kTIxzwmKAaZb07dvXpKx/9sLcrIbu7m2kSejBWbOb3PeiRx+TJlRPz3b02ONrKWfnEWmSz9l5hDp29CYA9PSKV2j7jsMW11jQLRksk8lo0KAwei7peb26EDdv3qT775+u004gmUxGfn5+etnwdEtEP/f8Jgru2V/6jqdnG1qzZi3duHHD5GuRl5dH7dpraxgEBvak9Pf30osvpUu1CHQFxnfffSedA2qLHpnTlyHEKoijRo1q0nHM5a233iIA5OLiQkePHm2wbV3hakoeA39/f4qOjrb6uBnngcUA0+wQS8QqFAr6448/HD0cIjLXMuAiTXgqlb/VUk4fPXqUevXqIx17wJ1/obc37ZJW/D6+fpJgcHNzp3vGTtKryrh9x2Fyc3M3+RzeeecdKikpqff5n3/+SePHT9ATDAMGhEr/F8cgCAINHTpWbww5O4/QilWvkr9/D6l9x46d6LXX/tFoZcKvv/6a2rZtp53Yu/eh97f+m3Z8+BWNHjOZANADM+pbkSIiIggAtWun/d6jjz5q3kWvw4YNGwgAzZgxo0nHEa0XpqZf1mg0UrKjgICARq0qogCoqqoy+fdWEASKiYmh3NxcTpPeAmExwDQ7kpOTCQBNnDjR0UPRw5xMceJr+/btVh3DzZs36ZlnnpUEh5ubksaMmURyef3sf4GBgdKqfMeHX9Gbb+00y7phKIvdjRs3aPjwkXrnuHr1sySTCXrvqVTdCAAtfGSlQQvF9h2HafHjidS5c1ed7wRQevr7VF1dXa/fQ4cOkYeHJwGgHkEhtCVjP+348Cva+sF+cnV1JwCUm5tb73uffPIJAaA2bW5bagy1awyxIqJorlcoFBQXF2e2ab1uZUWlUmnyccrKyqhnT+3WzX333Uc1NTWk0Wjo/Pnz9Nlnn9GLL75Mc+bG0ODBd5OHhyfJZDKKjIw0656Lr6CgIEpKSqJffvnFrPNjnBcWA0yzY8iQIQSANm/e7Oih6CHuvRrbG587d269PfacnBybjOW7776jwYPDGt2vj4mJIUEQyM+vm7RatzR179WrV2nQoDC985s/P57Wrl1X77zDx99PAGjkqAkNlobetv1Lik9YTu3adZS+27Nnb9q1a5fU/4EDB0ip1BY16tXrTsr44D/S9+MTlmsFQo9gg6vZmpoaCgoK0o5l5Mjatj2ovLzc5GttrCKimGrZ1IJATTlOdXU1nT59mjZs2CAJQV/fLpJAMvySmXXPXVxcKD4+Xk84yWQymjhxIuXk5DRquSEy3+LB2A8WA0yz4sKFC9JD6Ndff3X0cOoxadIkkslkpFKppL3xRYsWkaenp555XOmhfaBu2bLFZmOprq6mu+8e0mh5ZF1rhZdXRwoICDC7ZsPly5cpJKS/3iQzevQ9VFVVpefgKL6WLNEKBK+OnfV8G4y9Psj6giKjFpJSeXtyGzw4jF555VVyd9euovuGDK7nHCk6Dr700stGr1NKSork9Ofv708A6PHHHzfpGlvL+c7U45w4cYJOnTpFO3fupGefXUvTp/+V+vQJkSwShl6CIFD79p3I378H9eodSgPuHEKhA4fTgDv/Qv4BQdLWQmM+A3K5nDQaDZWXl9PWrVtpzJgxev107NiRHnvsMcrPzzd4fpZaPBj7wGKAaVa8+eabBIBGjBjh6KHUo6ioSHooR0RESA8+XXEgrvb8/f1JJpNRfHy8zcZjjh+Dq6srXbx4sdFJKSYmpt7kdvHiRerRI1jPHyA4uBddu3aN9u3bJ00WLi63CxG9l/ap9P+UDdmNigHxlb5lL02dOpcUCv3JLygohDKzDui1TX4xjQBtdEJDe+h//PGHtNpdv369dMwvv/yy0WtsrYJXlmwxWfMll8sbvOdyudzg1tDPP/9Mq1evlkSU+Bo4cCC98cYbdOXKFatZThjbwmKAaVaMGzeOANCrr77q6KHUIypKG0Y3fvx4qq6upiNHjpBcLm/QRC+Xy222OjI3wkF80IsP78DAQD3P/8DAwHoP76KiIvL3D6id7F0l60JRUREREU2dejuiwM/PXxJHOTuPUL9+gwkAJTz0pMliQHwtemy1FAUgvu4ecg9teDNHaiM6Ds7464PSeI2ZqRcvXkwAaMqUKZSQkFAraIIbrO5njtiqu61SU1NDFy5coIMHD1J6errJlRV1QzAbemkrXIrRJW1oxIjRNHXqdIqJiaMlS56gdeuSaOPGjbRt2zZyc3OjmTNnNnjPZ86c2WBVx+rqatq7dy/Nnj1bz0rh4uJCgiBw2GIzgMUA02y4cuWKtEI5c+aMo4ejx4kTJ6QH4P333y9ZBcQVl6GHnWh+NbVMsrk0ZbIqKCig+fPn65l158+fr3cep06dIm9vXwJA7u5a871C4UqHDh0iIu3WgW7kRM+evQjQOjXu+PArmjVbO+kOGx5ulhB4Yvl66fcg8I5+1KvPEL397zFjp9A/UrL1HAcbM1P/+OOPklDJz8+XVrrLli0zet3MFVsPPfQQ3XvvvdSrVy+DZn1TjzMvbgE99dQKeumllyktLY127dpFubm5VFhYSOfPn6fr16+TRqOh77//XrJ4rF692uhxRavEiRMnDN7zEydOmFXOu7S0lN58800aNGgQAWh0m8qcYzO2g8UA02zYsmULAaA777zT0UPRQ6PRSPungiCYZQ415oxnLZpqxhZX0nXHl5+fTx06eBEAatf+tnPf1q0ZUpvk5Bf1Jrs7uvWotRx0oh0ffkXrnntb+/12HUzyG9jx4Ve0ZOlzJAhaIdCr9xBa/vQWenpVJs1PWE/duuuGL2rb3HFHd8rKyjLJTD1p0iQCQEuWLKE9e/ZI4uDw4cMGr01VVRW5u5sWimloRS+Xy6lHjx4UHh5OCoXCYsfNhti2bZvU32effWawTd2tId17bmxryBRqampMvj62/BtgTIPFANMsqKmpocmTtWbfxMRERw9HDzE8TSaTmW0ObShMzxpY4gNQl7qm9SNHjkjx/D4+KilscOXKZ6TvaDQa6t49SJqI+ve/k9rXJgPyD+iujRTIPkiurm7abZ/XP2hUCDy2eI20NdCn7zB6csVWenpVpt5rbsxq6tI1WM9PoaH9cN37snfvXgJAbdu2pbKyMoqLi9NaHwIDacuWLfTCCy9QfHw8jR07lrp16yZN8I2tfFUqFXXv3p1WrVpF7733Hn3++ed09uxZUqvVUjtr+R4Y4pFHHiEA1KlTJ6OhgOZsDZmKpdtUjGNgMcA4NXXNu4Ig0P333+80e4xqtVrKhmiJF749VkXGHvQqlarBB70h0/q4ceGSiTswsCe5u2tD+mbMmKl3Drm5ubUCSTthLl/+lDSRh/QbJE3wd955NwGguPlLGxQCCx9ZpfP9kfTkiox6QkB8xcTphzI2NlkHBATQ+PHjKSUlhby8tNaOrl27Sufd0MvV1VVKxmOp2BKvdVNFmzGqqqrorrvu0m7JDBsmHb+uyDNla8gcmrJNxdgfFgOM09IcvJA3b94siRRzH3q29hnQpe6DXhC06YGNpa41du1VKhXJZDJSKj2pfe32wODBd1NlZaXe92fO1GbDE2r39j/66CNpAh2u4yMwZ+7CWue/0UaFwEN/e4pQKwQG3HkPPbXSuBB4elUm9RswmgDQkCFjSaGw3DFPNxRUawXxkYSQu7s7zZo1i/Lz8622qrbF6lzkzJkz1L59ewJAMTExDfpPGNsasgRbWjwY68JigHFKmkPxlBs3bpCvr6/ZDmAVFRV6BXrseQ41NTV048YNUqlUBID2799fr40pq1Rxle7l1ZF+++03vTZXr16VzP8AqEMHLzp8+LD0/4gJD0gT/Qvr39N6vLdpS9tzDtUTAnHzn5C+N3BQOD218oMGhcDSv79LLi7avlc+87pZ92Xq1Kk0ceJEg6GgogiaOXOmQVEqii1ROFi6qrb26lyXXbt2SdtZouCwtcC2pcWDsS4sBhinpDmsKBITEwnQZqwz1Rzq5uZG69atkyaXoUOH22m0+kRHRxMAeuaZZ+p9Zuq1DwoKMvggf/31f9RO8NqV6Iy/Pkg7d+6UJvXpD8RKk312zpdS9sD1L6ZRRubnUhGl6JjHpO/cFTaxUSHw9KpMipio3ef39fWnNWvfJLncxWSLzTfffNNgBsm6AtTQe6IYuHjxosn3whDWXJ2LFBQUNBjqaiuBbUuLB2M9WAwwTkdz2GssKSkhT09tON2OHTsoMjLS5Ex/giBQl67a2Pzp0/9q55FrSUvTJuSpm7zJ3GsfEBCgJ8g0Gg316tW3NkpAu42QmZlJr7zymjSxR8c8qrf679NHGwWgUGiTELm5uVP37r2l9nf/ZbJJQuCplR9Q584BtRYLb5N9BkRRaYkA1X1Po9FIfV6+fNnUW2E3HCmwbWnxYKyDAIZxMiorK1FZWYmgoKAG2/Xo0UNqa2/WrFmDiooKDBkyBNOmTcO+fftx6dIlxMfHQ61W67VVq9WIj4/H5cuXETFhIjQaDby8vAEAN2/etPvYAeCee+4BABw/fhwVFRXS++Ze+3nz5mH79u0gImg0Ghw8eBA//fQ9XFwUuH79KgRBwL333ovz589L3/X0bCv9fPjwPvz007dQqVR49tlnkZWVhWeeWYVbt8ohk8kQ3PMujB0XCZlM1uB4bt6sxH/2Z+LKlQsAgGvXfoerqysmT56K3377DQkJCUbvy6VLl7B48WLk5OQgPj4eCoXCYB8KhQIJCQnS+dZ9T/f4Li4uDY7X3mg0GovOz1qEhoYiPT0d5eXlKC8vR0VFBdLT0xEaGmrVfhjLca7fWIYBUFVVBRcXF5w5c6bBdkVFRVAqlVAqlXYaGVBYWIjExER8/PHHAID//ve/UKn8cfVqKQBg27ZtOHjwIBISEtCjRw8UFRUhNTUVly5dQkZGBmpqarB/379RUvILAO25OoLu3bsjICAAFy5cwNGjRzF+/HgAkK6nqde+d+/eqKysRGxsLP75z3+isrISgiDA3d0D5eVlGDjwLnTq1AkXLlyUvuvZRisGzp07jY1vPo+5c+ciLS1Nb5JasWIF4uPjsW3bNvx++Rf4+N5hcBzXr5fi+LHP8N/CXKhvaa+lQuGKv/99OZYufRy+vr7Izs5GbGwscnNzjd6XXr16mS1APTw89N67ceOG1M7ZxIAlAls8P2siCAI8PT2tflym6bBlgHEqDh8+jMGDB6O6uhqbN2+ut5oTUavVSE1NRWRk46tGa5GdnY2wsDDk5eUhMTERWVlZWLVqFdzcXCGTyTBixEicPHkS4eHhSE5ORnR0NJKTkxEeHo68vDxERUUhIiICAPDHtSsAHGcZkMlkknUgNzdXel8QBMyePRtpaWkmXfuPPvoIMpkMhw4dwsqVK5GVlYXExES0b98WMpkM3boFAgCKi2+LgTa1loE9u3OgUvnVEwKAdpWalpaGrl39kHfi3/XG8GvJWfzfv97Cpo3LcPLE3lohoP092L37UyQnvwBfX18AQFRUFPLy8hq8L+aKIF0BKr6new7GVt+Ooinnx7QSHLxNwTBEpI3XX7t2reSAFRAQ0KAzl729kM31im7IAaxnz9v74WFhQ+wyfkMY8xtorBSzeK5ZWVmNlkcWr4nK/3blwpdefp+27zhMbm6mZadTKNzoqZUf0FMrM2jGzGXkp+qlFwLYq9edNHbcFAJAQUE9G/Qhaei+NNVnoLS0VBqTbkIhZ8GU81OpVPTggw8a/Jxp2bAYYBzOuXPnaMSIEdKDdN68eXT9+nVpsvHz83O4F7I1na8efniRdK4hIf0dVtv9zJkzkuNeeXm53meiB7ixa5+RkUFBQUEmOefFxcVJzoEA6K23/0kZmZ+bFfY3bnw0te9wO4xTEOQ04M4hdFfYSHJzc5ccM8PCwiwWiOYKvrrv/fbbb9L4nDGBTmPnFx0dTTKZjFxdXWnz5ned8hwY28FigHEoOTk5UjKUdu3a6U0Op06dqpcAxhFeyNaObtiwYUO9c3JEbXeNRkMBAdoV+759++p9XlBQQGPGjJHG6erqSqNHj6ZFixZRQECAWYmWdFfyW7buM8syoJsQyN3dkyZNiaIF8U+QXO5i9Xh5Y2Fwfn5+Up4BY6K0uLiYAG2lPmelsfPTvU8TJtxLv/76q6OHzNgJFgOMQygvL6cFCxZID56hQ4dKZW9Fnkt6Tu/h9OmnnzpktWLNHOviw7huUhtHZVWMiYkhALRq1SqjbfLz8yk6Oprc3d0l8SLmKTD1mogvmUxG23ccpu05h8jXV2VyOGbHjr4UE/s4bf1gP7386laSyxtPSHX06FGLrC6GwuCmTZtG06ZNazA07ty5c1J2Qmem7vnpWm28vDrq3a8OHbxox46djh4yYwdYDDB25+TJk9SrVy9pcnjmmWcMTgiD7xqk92D63//+54DRai0Dptabb8gy4IxZFUW/geHDG09+pLvfbo61RHfF6dmmLWXnfElDh42X7r8xnwMxQ+PcmEWUnfOllJfgnrGTKDAw0CQR0RSriyH/goZ8Dn7++WcCtIWOmgPiufz+++9S4icAdM894/T+7gDQrFmRdO3aNUcPmbEhLAYYu1FTU0OvvfaatBLx9/en3Nxcg20vXLhQ74HkqEQupaWlJJfLm1yX3RmzKop+Ay4uLvX8BhojLi6O/P39jZ7PiRMnyNPTUy/Hv7u7kvr3v7tWCAg0cHA4CYJQzzdBpVKRXC6nx5cmUs7OI7TxnX/S8ieTadr0WJOzCorZHu1ldfn+++9rV9deNu3HFqxevUb6O3Nzc6e1axOlIlPiq0sXP4PbSUzLgMUAY1XqVkITKSkpoYkTJ0oPlgceeIBKS0uNHmfDGyl6DyJBEKi6utrWw6/HrVu3qH///o2uYhuLbnDWrIoajYYCAwON+g00RH5+vtFrkpGRQYIgGM3xL5PJqE/fYeTh0b6eX4hC4Up9QwbS8BETqHfvgeTh0baeMDS3DoQ9rC7ffvstASBvb2+b9WErrl+/Th063N4iCA0dTJ9+ups8PdtIDpviZw8//AiXG26BsBhgrIKhcreieXbPnj3k4+Mjvb9p06ZGJ7sxY8foPfy9fez/gP3jjz/0ohzatGmjV8TGnOgGZ67tHhsb26jfgCHEc5LL5XoOaYsWLWpUOOluHbi7e1C37n3I3z+IXFwU9SZ+bR8u1KdPCM2aFWXRlo09rC7ffPMNASA/Pz+b9WFLbqeM1t6bNWvW0n//+1/q2lVVaz26fW+6dw+iY8eOOXrIjBVhMcA0mYZKDcvlt1cUAwYMoO+++67R44lmed3JIKRfXzucyW3Onz8vWQQAbX17MeIhKirK7BzrzmoZICJKT0832W9AF/GcFi1apOeQJpfLG9w+0N3TN/RSKj1o8OC7aUH8Q7R587t08uRJqqqqkr5v6XaLra/t8ePHCQAFBgba5Pi2prKykrp08dMTYHl5eXTp0iXqPyBUshAolbetBStWrDJ6H5jmBYsBpkmYWu42KiqqXs17Y2zZukXaxxYfTGPGjrHB6A1z8uRJafIXXx4eWger9957j4gsqyrnjD4DRERFRUVN8hsQz6mmpoauX79usugRBIE6dOhIo0bdQ0uWLKOsrCz64YcfGt0OsrQsrq2tLl999RUBoKCgIJsc3x68++672olerv3bCw7uRZWVlVReXk733jtJ+ntQ+feQfu7f/046depUvWMZ2zJknBMWA0yTMGWCq1vZrjGmTptS35s50j5Z0T799FOpGqH4r7inPmzYsCY92Jy1tntT/AbqnpO52yHmig8RS8ri2toycPDgQQJAvXv3tsnx7YFarabu3YMIALm6akNJH3vscSIiqq6upkWP3i4r3afPQMlK4OrqSi+//ArV1NQ0uGXIOC8sBhiLsYXpu6KigtyV7tIDp4OX1sHssccftdawjfL2229LTmyDBg2qdWZTSKbvwsLCJvfRWGY/R9V2t9RvgEh/Yk5MTCQ3Nzebb4eUlpbS4sWLSalUSvdMLpfTvHnzDE469rC6fP65Nqti3759m/VqODt7u56PgEwmoy+++EL6/B//2CBd86Dg/tQ3ZLD099qzZy+jW4aO/P1mGofFAGMxtnCK27Vrl9ZZr512xRHQTeu8lPR8krWGXY+amhpavny59ECLi4ujvn37asVIhw4EgJYtW2a1/goKCkihUDg0q2JdRL+BoUOHWmTaLSgooKioKEk8mRuGaapJ+fvvv6eFCxfqZTX09fWlhx56iORyucOsLgUFBRQREeHwrJLWoKamhvr1G1DrDNmt9n4GUFlZmdTmo48+knIT+HYJoFmzHyIXFwXJZDKKjo6ma9eu6d1LR+XRYEyHxQBjMbawDMyNmUMAyD9QKwKCenXX7tWnvmetYevx559/0syZM6WJ5fnnn6fNmzfXerm7S97h169ft1qfarVa8qafNSvSKXLA7969u9YpzPzJTKPR0Pvvv0+dOnWSrqMgCCZNzKaYlDUaDe3bt4/uu+8+va2jgQMH0tatWyXnQku2DqxB3X5bwmp4z549khNhhw6dCQDNjY7Va5Ofn0/e3tp6EW3bdqCgoD7k4eFh9F46yieGMQ0WA0yTsKZTnFqtJi+vDnrbA92CtHvZn3zySZPHWnf1efnyZRo2bJi055mZmUnl5eXUpUsXyewMgHbs2NHkvnU5f/68NKH9/e9PWvXYltCUFMk//PAD3XPPPXoRI0ePHjU6MYvVKLdt29ZgFIqLiwtt2bKFUlNT9aI6ZDIZ3X///XTgwAGDIspQKmFbWl2cMaukNdBoNDTkL9q/jdDQoZJ43bVrl167CxcuUN++/aR7ExAQ0ODvkCOiZRjTYDHANAlrOsV98cUX2vC99m2lydi3qzcBaFJMs6HV54wZM0il0lofvLy8pEyI69at07MKTJw40eoPLtHRDAA9/8J6qx7bXCydzKqqqmjdunXk6uoqXdOXXnpJ7xgFBQU0depUvQyEU6dOlSwCpkShiNfJ09OTHnvsMTp9+rRJ52VJtIclOGuEiDU4fPiwdN/GjNFGEnTs2IkuX76sJ6yPHDlCgiAYzSuh+zvkiDwajGmwGGCajLXMs488+oh233qUNl1t75Ce5OqmnWzOnTvXpLHVXX2KmfC8vb3p+++/JyJtlkQxggAAubm5mTz5mMP7778v9bFx40arH98cTJ3MZs+eTZcuXaKSkhL617/+RUFBQdI5jBs3jgoKCuiPP/6gsrIyun79Ot24cYMqKiokc7P4EkMH582b12i/fn5+5OnpSa+88opT5sV35twR1mL8eG3W0LvCRlHXWv8Bf/8APWEdHBzcaK0IURA152vR0mExwFiFpppnNRoNqfy1CU8mTdc+gKbNvB1iaMlKwlyrxcMPP6wXQZCYmGh2n6bwzDPPSuflyP1kcyYz3TLC1niZU/7YWScOZ84qaS0KCgqkezbx3pl6GTizsrIoMTGR5HK5yffS3DBjxn4IYBgrEBoaivT0dJSXl6O8vBwVFRVIT09HaGhoo9/VaDQ4cuQIii9egtJDietlNwAAgd0DAACebTzh4eFh9phSUlKgUqmQmpoKhUKh95lCoUBaWhr8/PyQkpKCkydP4r333gMAqNVqBAcH4+mnnza7T1M4c6ZI+rl9+/Y26cMUKisrUVlZiaCgoAbb9ejRAxqNxqp9azQak/oVx+iMKJVKKJVKnDlzpsF2RUVFUtvmRmhoKB6YMRMAsO/f/0R0dDTOnj2LZ599FnPmzMHy5ctRU1Nj8r28dOkSlixZYo+hM2bCYoCxKoIgwNPTEzKZrNG2hYWFmD9/Ptq0aYNRo0ZBEAR08GqPwvxvAQBd/HwAAD4+3maPQ6PRICcnB/Hx8fWEgIhCoUBCQgIyMjIQFham99nGjRvh7u5udr+mcP78eenndu3a2aQPUzBnMhME7aOiX79+OHz4MDQaDWpqalBdXQ21Wo1bt26hqqoKlZWV+PPPP1FRUYHy8nK88sor0nHatWuH0tJSXL58uUVMooIgYPbs2UhLS4NarTbYRq1WIzU1FZGRkSb9TTgjo0YOBwD4+fkhLS1N7+/J3N+hjIwMkxYIjP1hMcA4hOzsbISFheHAgQNYuXIlsrKykJiYCLnMBTfKbkAQZFDWWgM6de5s9vHNXfWmp6cjMTERKpUKgiCgtLTUovMyhQsXf5F+dqQYMHUy27RpE2QyGV544QXk5+djxIgRkMlkEAQBcrkcLi4uUCgUcHNzg7u7O5RKJTw8PODp6Ylbt25Jx/Ly8kLHjh3h7e3dYibRpUuXori4GAkJCfXORa1WIz4+vlmvhgsLC/Hkk09CoVDg4YcfriesTf0d2rx5M6ZOnYo5c+bYY9iMJTh6n4JpfRjay6/r8Q+d0D4XFxezE7hY6txl63Cw6upqkstv11w4e/as1fswh4KCApLL5UY9waOjo0kQBPr4448tOv7TTz+tlxdAt19nTM1sCY7Kb2AP4uLiKCAgoEHfCPFeWlrem3EOWAwwdqeuB7uux//MmTNJLpc3Gq9sST91MRb2ZctwsF9++UXPka60tNTqfZhDRUUFde7cmWQyWb0UyX5+fiSXyxt1kGuIRx55RDrXsWPH6n3WkiZRe+c3sAeioE5MTGxUWG/bto3kcrnTpdlmTIfFAGNX6q7YdVeIJ06csGoCl6asPm3lyf7ll1/qiQFHl3999tlnazPItdXLQOji4kJz5sxp8mQ2d+5c6VxnzJhR7/OWNonaK7+BPdCNljBFWHfp0oV69uzZYu5la4PFAGNX6oZj6T5kbJHAxZRMeIawVTjY1q1bdfIYuFv12OZy+vRpKWlQ3dcLL7xglT6mTp0qHTM+Pt5ou5Y0ibYUdIV7Y8I6OjpaEtZ8L5sn7EDI2BVd72Ndj3+5XG6y9//27dtBRCb1FxUVhby8PAwaNAiJiYmIjo5GYmIiOnfujLy8PERFRRn8nq082X/++XZYYdu2ba16bHO4desWpkyZIjn4yeVyAECXLl0AANevX7dKP7rH8fLyMtrOnCgUxj7oOgeGhIQgIyMD27ZtQ3BwMJKSkpCVlYWkpCR069YN27ZtkyIF+F42T1gMMHZF9wFz/fp1yePfHO9/c2PPQ0ND4eXlBX9/f1y7dg0xMTG4evUqQkJCDLa3pSf7maLbYqBNG8eIga+//hq9evXCjz/+CAD4y1/+ggULFgAAVCoVAKCsrMwqfZkqBhjnRDdaYubMmcjLy0N4eDiSk5MRHR2NpKQklJSUIDs726iwZpoHLAYYuyM+YB5//HHJSmDLBC6iBSIhIQEdOnTAsmXLHBYOdu7cOelne4uBsrIyLFq0CMOHD5dyHUyaNAlHjx5FcXExAKBbt24A7G8ZYJyT0NBQPYvAxx9/jPDwcDz99NPw9/eHRqNBVlYWZs2a5eihMk3F0fsUTOtE3Mv39PSkgIAAm/kMEBlOG2vMl8DPz8+m3s8BAXdIe+jDho20SR910Wg0tGPHDqkao/jq2rUr3bhxo3Zc2vCxFStWEACaPHmyVfr29vZ2itTLTNNoaY6eTH1YDDAOo6CggKZNm0YymYxiYmIajSawNF7ZWM6Bug84V1dXksvl9M033zT11IyOw8VFcTvX+8RJNulHl3PnztHkyZOlPrt16ybVXhBLM1+9elX6fMuWLQSARo60jlBxc3OTjv3ZZ59Z5ZiM42DnwJYLiwHG4WRmZkqrdDHPgL+/v1XjlR988EFSqVQGrQ41NTV07do1mxdRuXjxIqG27jsAevDBSJv1pVar6dVXXyUPDw+p+NKaNWvovvvuIwAUHh4uPdDFcMeAgADau3cvAaABAwY0eQxVVVV6loivv/66ycdkGMY2sBhgnIK6q3S5XC6tYJtqkiwuLqbAwEDJAuGoLGlifXh3d+0EHZ/wN4uPpVtPvi7Hjx+ngQMHSpPwqFGjKC8vjz766CMph8CpU6ek9hs3bqwtTetP7u7u0vU3N+ujLgUFBRQZGSnlLRAEgWbMmMFmZYZxUlgMME6FrhnSGibJkpIS6tOnjzQxymQyKbuhvbOkZWRkEABq174jAaC///1Js49RN22zUqmUJu2ysjJavHixZHlo27YtjRgxQk9gAaC4uDi9Y4aHh+tdl6ZkfSTSzyhpjeMxDGN7WAwwLZbffvuNQkJCJDM5AJo6daqeBUIQBJo8ebJdVqxr1iQSAOrUuSsBoKQk8xL7NDTJyuVy8vLykkTPiBEjDLZVqVR6E3JBQQEJgmDUYmLPrI8MwzgOFgNMi+T333+nAQMGaFfi7dppJ+FOnej3338nIq0F4oEHHiAAtGbNGruMKTpmHgEgX1+t5/5bb71l8ndNmWRlMhn5+/vTO++8Y3Ja57i4OKO+FGJ7cyI4TIkI8fPzozFjxph0PIZh7APnGWBaHFevXkVERAS+/fZb+Pj44ObNmwCA1157DZ1ryyELgoApU6YAAPbu3WuXcZ0tOqv3/w4dOpj83ZSUFKhUKqSmptbL0KhQKJCWlgaVSoWxY8fi2LFjDbZNTU2Fn58fUlJSsH37doOlaXXbJyQkIDMzEytXrsTGjRvxf//3fzh+/DiKi4tRXV0ttdXNKNnQ8RYuXIhDhw6hoKDA5PNnGMa2uDh6AAxjTa5du4aIiAgUFBTA19cXwcHBOHLkCMaNG4fY2Fi9thMnTgQAnDhxAleuXJGEgrUpLCxESkoKvv76CADgypVLALSixRTESXblypUNTrJ/+9vfsH79eshkskbbJiQkYP369aiqqjIp66NarcaLL75Y7zNBEODr6wuVSgVfX1+Ts0hqNBq8/vrryMjIaLAtwzD2gS0DTIuhrKwMEydORH5+Pry9vfHEE0/gyJEjcHNzw6ZNm+qlFlapVBgwYACICPv377fJmLKzsxEWFoYDBw5g7dq1yMrKwtq1a6FSqfDEE08gOzu70WOYk6q5qqrKrLaurq4mZX10dXXFo48+igceeABDhgyBv78/5HI5NBoNSkpKkJeXh927d0MQBJOPt3PnTpNrTDAMY2McvU/BMNagrKyMhg4dKvkGHDp0iHx8fGod9ZKMfu/JJ58kADRv3jyrj6mxfX5TnfOMJU2qy3PPPUfu7u4mtV20aBHJ5XKSyWQW+wxUV1dTSUmJFLb4zjvvUP/+/U063ujRo21SFZJhGMtgMcA0e27cuEEjRowgAOTl5UXffPMNJSQkEADq27cv3bx50+h3P//881qnPl+DMftNwVrplU+ePElt27Y1edJurN+MjAzJ2VAUBcaiCaKjo0kQBMrJyTHhjIny8/NNyuewaNEiUiqVnMmOYZwEFgNMs6a8vFxaZbZv357y8vKkjHoA6NChQw1+v6qqSsrSZ800xOas5o1NihqNhlJSUsjV1VXKkWBKyF5DFokTJ07UCyUUQxbr5l8ICAgguVxOnTt3Nis/wOjRo0kmk9Wr+yDmc8jIyLCoxgTDMLaDxQDTbKmoqKBx48ZJ4YPHjh2jqqoqKcnQQw89ZNJxpkyZQgAoOTnZamMzVBzJEJmZmQbN5b///jtNnTpVEjXTp0+nd99912BxJUNJk4wVYvL09DRoYcjJySGZTGYw66O5+QYKCgpILpdTUFBQvcI2J06c4FwDDOOEsBhgmgV10+9WVlZSREQEAaA2bdrQV199RURE69atIwDk4+NDV69eNenYb731FgGg0aNHG03xa8l4LbUM5ObmkkqlIgDk5uZGb731lvS5OdXj6rZ1d3cnhUJhcEzi1kJVVZXBrI/m5hsQxUjXrl1p9erV9MEHH9g12yPDMObBYoBxagyl342JiaHhw4cTAPL09JS2An788UfJpG7OZPPJJ59I2QjFPpqSl1/EXJ+B6upqWrt2rTSO3r17Gx2DOamaxbY3btwwaK2wxpaGIfLy8vSuqyAINGrUKLYIMIwTwmKAcVqMpd/19/eXTNpffPEFlZeXU3V1NY0dO7a2NPBEkycssQ+VSmX1PPrmpOa9cOGC5PuA2voB5eXlFvdtCGOTflO3NIxx/vx5vaqFAGjatBkWj59hGNvBYoBxSkyZSAVBIDc3N8mcLv5bVFRklT7MzctvCGN797o1Aj7++GPq2LGjtOWRmZlpcX+NYchaYSvLgFilUaFwlcRAmzZtSa1WN+kcGIaxPiwGGKfE1Bz3gwYN0ivCI5fLTV7NWyv0rzHEvXsXFxfJXO7t7UPHjx+nJUuWSBPl4MGD6aeffmpSX6aMxZAAssW1yM7Org337KhnHTh8+HCTz4NhGOvCYoBxOixdqdoqkY+14uGjo+dJE+Lw4aNo0KBB0v+XLVtGVVVVTe7DFAxZKxYtWmRSfgBzrCQvv/wyAaDu3XvoiYEn/r7c2qfEMEwT4doEjNNhTvpdsa2Hh4dUhCc3NxcbNmxAenq61ftoCr1795J+PnbsK9TU1KBTp07YunUrJk+e3KRjm0NUVBRCQkKwYcMGJCcno7KyEkqlEqNHj0Z2djYOHjyIhIQE9OjRA0VFRUhNTcWlS5eQkZGB0NBQk/u5cOECAMDHxwdnzxZJ7+/ZvQevvfqK1c+LYRjL4doEjNOhVCqhVCpNynEvthURi/Bs3769wbz3TenDEgoLC7Fv314IgvZPjojQpUsXZGdn21UIiISGhiI9PR3l5eUoLy9HRUUFcnNzkZeXh/DwcCQnJyM6OhrJyckIDw9HXl4eoqKizOrjl19+AaCtAaHLDz+cQnFxsdXOhWGYpsNigHE6BEHA7NmzkZaWBrVabbCNWq1GamoqIiMj6xUg0l3N26oPcxCLFRUVFSExMRFZWVlITEyEm5sbJk2aZFKxIlshCAI8PT2l8zMkEtLT082yCIiIloHu3bvV++yTTz5p0rgZhrEyjt6nYBhDmBOWVxdT9/mb0oepfPPNNw3m/rdGxIKz4u3tTQBo06ZNtemUBclvYOLESY4eHsMwOsiIuIYo45xkZ2cjNjYWfn5+envYmzZtwuXLl5GRkVHPdK1WqxEcHIzw8PAGfQYa60N3n9xc87hIaWkpBg0aBI1Gg7Nnz0KhUNRrY+54mwtVVVXS1srBgwcxZswYCIIcGk0NAECp9MC1a1fh5ubmyGEyDCPiaDXCMA1hKKWuTCajKVOmWG01b06KX1P58ssvSaVSkSAIdo1YcBZOnz4tXcvi4mK9aAIx78C+ffscPUyGYWrhaALGqRH3sFNTUyWP/u3btyM2NhbBwcFW8Xo31IelPgI1NTVYv349EhMTodFoAMCuEQvOgugvEBgYCG9vb73PXF2VUKtv4V//+ggRERGOGB7DMHVgMcA0C0RHN8B4aFxkZCSWLFlikbNb3T4sobi4GNHR0cjNzQUAxMTE4MMPP7RbxIIzIUYSBAQEQKFQoG3bdrhx4zoA4NatKgDA3r2fOWx8DMPow9EETLPEml7v5qLRaFBRUSGt/AFg9+7dCA0NRW5uLjw9PbF161ZkZGTYLWLB2RAtAwEBAQCAjh07AQBkMgFq9U3IZALOnSvCzz//7LAxMgxzGxYDTLOmbmicLSksLMT8+fPRpk0b6RUbG4uYmBhMmTJFchjMz89HbGwsAGDp0qUoLi5GQkJCPUGgVqsRHx+PS5cuYcmSJTYfvz2pKwY6deoMAGjbzgsA4NtF+/7HH3OIIcM4A7xNwDAmIEYdqFQqrFy5EkFBQThz5gzeffddKYHOkiVL8NJLL+l5yIeGhiIjIwOxsbH4z3/+g4ULFzbZx6E5UFcMdO6sFQPV1bcgCAJ+LTkPQRDw8ssvIzx8XIs7f4Zpdjjag5FhnB1T8hHI5fIGow9efPFFqUgRaqsrNjViwZnp168fAaA9e/YQEdGIEaNIJpORv7+/Xqlo3eqNDMM4DhYDDNMI1qjot2DBAgIglSrev3+/rYbrUAoKCiguLk4SPe7u7nT//feTIAitMvESwzQX2GeAYRpAo9EgJycH8fHxBpMGAY3XQyAi7Nu3DwCkaAUXl5a3QyemXT5w4ICUdnnVqlXIz88HESEiIqLeNRSLS/n5+SElJcUxA2cYhn0GGKYhrFHd8Mcff8TFixfh5uYm+RPI5XKbjdkRFBYWIjY2FnPmzEFqaqrepL9ixQrEx8djwYIF6NmzJ4YMGSIVbAJui6nExEQQEZYtW8Y+BAxjZ9gywDANoFQq4e7u3qRcAaJVYOTIkZLloKWJgZSUFKhUqnpCANBO9mlpafDx8cGwYcPQpk0bzJ8/H4WFhVKbHj16QKPR4IsvvkBYWJhDizcxTGuExQDDNMD//vc/yGQybN682eJcAfv37wcATJgwATU12tz8LUkMmLqVsnDhQri5uWHFihU4cOCA3qQviqmff/4Zc+bMQWxsrJ5YYBjGtrAYYBgjHD58GKNHj0ZlZSVKSkosyhVw69YtHDhwAAAQERHRIsWAOVspN2/exPLly3H69Glp0s/Ly5PElKurq+RDsGHDBjudAcMwLAYYxgC7d+/GhAkTUFZWhpEjR2Lz5s3Ytm0bgoODkZSUhKysLCQlJSE4OBjZ2dlGcwV8/fXXqKiogLe3N0JDQ1ukGBC3R8zZStF1HIyMjNQTU405ZDIMY31YDDBMHTIzMzFt2jRUVlZi8uTJ+Pe//42EhATk5eUhPDwcycnJiI6ORnJyMsLDw5GXl2e0zLHoLzB+/HgIgtAixYAgCBalXRYn/bNnz2Lr1q16YkrXIZNhGNvDYoBhdHjjjTcQExODmpoaREdHY9euXVJ0gCX1EEQxMGHCBABokWIAsDztsug4OH36dL33W2LxJoZxZji0kGGgzQWwdu1aJCUlAdCmFn799df1QuBETK1uePXqVeTl5QGAVKq3pYoB3bTLubm5JpeWNjTpt9TiTQzj1Dgw4RHDOAXV1dW0cOFCAkAAKCkpiTQaTZOPu2PHDgJAISEh0nvt2rUjAPTTTz81+fjOSEFBAc2fP5+USiUBILlcTvPmzTOYXdBQ5kYxvTNnJGQY+8LbBEyr5tatW5gzZw42bdoEmUyGt99+G6tXr7bKilQ3pFCkpVoGRHS3Uo4ePQpAa3UJCQnRa6dWq7FgwQJcuHABSqXSZIdMhmFsg4yI3XWZ1kl5eTn++te/Yt++fVAoFMjMzMSsWbOscmwiQvfu3XH+/Hns3r0bkyZNAqD1vK+qqsK5c+dwxx13WKUvZ0as9ujn52dw62DEiBE4fvw4KisroVQqERkZiSVLlrAQYBg7w2KAaZWUlpZi8uTJOHbsGDw8PLBr1y69FXxT0Gg0+PbbbzFw4EAoFApcu3ZN8jFQKBSorq7G+fPnERgYaJX+nJ3CwkJs2LAB27dvNzjpazQaKY0z+wgwjGNgMcC0eMTJRqlUQhAEFBcXY8KECTh16hS8vLywZ88eDB06tMn9FBYWIiUlBTk5OaisrIQgCPDx8cHevXsBaFP2ZmRkQKPRQKlUYvbs2Vi6dGmrWQXzpM8wzguLAabFUndyViqVuO+++3D06FGUlJTAz88P+/btQ79+/Zrcl2gOV6lUiI+PR1BQEM6cOYP33nsPly5dAhEhICBA77O0tDQUFxcjIyPDaJ4ChmEYe8BigGmRGJucN2/ejEuXLsHX1xdHjx5Ft27dmtxXYWEhwsLCDFbsE2Pss7KycOzYMYSFhel9lpCQgG3btiEvL6/VWAgYhnE+WAwwLQ5TJufs7GyrTcDz58/HgQMHcPr0aYOFetRqNYKDgxEeHo709HSTP2MYhrEXHFrItDhMKadrrUI4plbsM5Zrn/PwMwzjDLAYYFoUTZ2czcWcin3Gcu1zHn6GYRwNiwGmRWGNydkcLKnYZ85nDMMw9oDFANOisMbkbA6WVuwz5TOGYRh7wWKAaVE0dXK2hMYq9i1YsAAXL17EokWL6n1mrJofwzCMPeFoAqbFYe9oAqDhtLvFxcUgIvj7+xut5sd5BhiGcSQsBpgWSWM58W0xATeUdhdAgyl5GYZhHAmLAabF0lhOfFvRUNpdTsnLMIwzwmKAafHwBMwwDNMwLAYYhmEYppXD0QQMwzAM08phMcAwDMMwrRwWAwzDMAzTymExwDAMwzCtHBYDDMMwDNPKYTHAMAzDMK0cFgMMwzAM08phMcAwDMMwrRwWAwzDMAzTymExwDAMwzCtHBYDDMMwDNPKYTHAMAzDMK0cFgMMwzAM08phMcAwDMMwrRwWAwzDMAzTymExwDAMwzCtHBYDDMMwDNPKYTHAMAzDMK0cFgMMwzAM08phMcAwDMMwrRwWAwzDMAzTymExwDAMwzCtHBYDDMMwDNPKYTHAMAzDMK0cFgMMwzAM08phMcAwDMMwrRwWAwzDMAzTymExwDAMwzCtHBYDDMMwDNPKYTHAMAzDMK0cFgMMwzAM08phMcAwDMMwrRwWAwzDMAzTymExwDAMwzCtnP8HP5wE3jehFzcAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xgi.draw(S)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "xgi", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/validate_hif.py b/validate_hif.py index 4dc3a08..57b54c6 100644 --- a/validate_hif.py +++ b/validate_hif.py @@ -3,8 +3,7 @@ import fastjsonschema -from scripts.hif import validate_network_type - +from src.hif import validate_network_type if len(sys.argv) > 2 and sys.argv[2] == "--silent": verbose = False