From b31eb441c3f4ed0a001a2000014e79163f7b9587 Mon Sep 17 00:00:00 2001 From: LilSpazJoekp <15524072+LilSpazJoekp@users.noreply.github.com> Date: Sun, 4 Dec 2022 19:45:35 -0600 Subject: [PATCH 1/4] Cleanup tests and fully migrate from nose to pytest --- setup.py | 17 +- tests/__init__.py | 12 - tests/conftest.py | 202 +- tests/integration/__init__.py | 181 +- .../cassettes/TestAuthWeb.test_authorize.json | 126 +- ...quest_without_json_text_html_response.json | 218 +- ...uest_without_json_text_plain_response.json | 112 +- .../models/listing/test_generator.py | 25 +- .../models/reddit/test_collections.py | 535 ++- .../integration/models/reddit/test_comment.py | 611 ++- tests/integration/models/reddit/test_draft.py | 259 +- tests/integration/models/reddit/test_emoji.py | 146 +- tests/integration/models/reddit/test_live.py | 410 +- .../integration/models/reddit/test_message.py | 265 +- .../integration/models/reddit/test_modmail.py | 179 +- tests/integration/models/reddit/test_more.py | 23 +- tests/integration/models/reddit/test_multi.py | 291 +- tests/integration/models/reddit/test_poll.py | 35 +- .../models/reddit/test_redditor.py | 556 ++- .../models/reddit/test_removal_reasons.py | 139 +- tests/integration/models/reddit/test_rules.py | 355 +- .../models/reddit/test_submission.py | 976 +++-- .../models/reddit/test_subreddit.py | 3420 ++++++++--------- .../models/reddit/test_user_subreddit.py | 51 +- .../integration/models/reddit/test_widgets.py | 1458 ++++--- .../models/reddit/test_wikipage.py | 310 +- tests/integration/models/test_auth.py | 63 +- .../integration/models/test_comment_forest.py | 185 +- tests/integration/models/test_front.py | 30 +- tests/integration/models/test_inbox.py | 264 +- tests/integration/models/test_mod_notes.py | 116 +- tests/integration/models/test_preferences.py | 63 +- tests/integration/models/test_redditors.py | 63 +- tests/integration/models/test_subreddits.py | 118 +- tests/integration/models/test_trophy.py | 20 +- tests/integration/models/test_user.py | 391 +- tests/integration/test_objector.py | 13 +- tests/integration/test_reddit.py | 273 +- tests/integration/utils.py | 141 + tests/unit/conftest.py | 7 + tests/unit/models/list/test_base.py | 10 +- tests/unit/models/reddit/test_subreddit.py | 4 +- tests/unit/models/test_preferences.py | 10 + tests/unit/test_deprecations.py | 51 +- tests/unit/test_reddit.py | 44 +- tests/unit/util/test_deprecate_args.py | 3 +- tests/unit/util/test_token_manager.py | 62 +- 47 files changed, 5830 insertions(+), 7013 deletions(-) create mode 100644 tests/integration/utils.py create mode 100644 tests/unit/models/test_preferences.py diff --git a/setup.py b/setup.py index cb45b4157..298d8c7a9 100644 --- a/setup.py +++ b/setup.py @@ -1,5 +1,4 @@ """asyncpraw setup.py""" -import os import re from codecs import open from os import path @@ -24,15 +23,13 @@ "sphinxcontrib-trio", ], "test": [ - "asynctest >=0.13.0 ; python_version < '3.8'", - "mock >=0.8", - "pytest ==7.2.*", - "pytest-asyncio", - "pytest-vcr", - "testfixtures >4.13.2, <7", - "vcrpy >=4.1.1" - if os.getenv("PYPI_UPLOAD", False) - else "vcrpy@git+https://github.com/kevin1024/vcrpy.git@b1bc5c3a02db0447c28ab9a4cee314aeb6cdf1a7", + "asynctest ==0.13.* ; python_version < '3.8'", # TODO: Remove me when support for 3.7 is dropped + "mock ==4.*", + "pytest ==7.*", + "pytest-asyncio ==0.18.*", + "pytest-vcr ==1.*", + "testfixtures ==6.*", + "vcrpy ==4.*", ], } extras["lint"] += extras["readthedocs"] diff --git a/tests/__init__.py b/tests/__init__.py index 75957b04a..214345e1d 100644 --- a/tests/__init__.py +++ b/tests/__init__.py @@ -1,16 +1,4 @@ """Async PRAW Test Suite.""" -import sys - -if sys.version_info < (3, 8): - from asynctest import TestCase - - class BaseTest(TestCase): - """Base class for Async PRAW tests.""" - -else: - - class BaseTest: - """Base class for Async PRAW tests.""" class HelperMethodMixin: diff --git a/tests/conftest.py b/tests/conftest.py index d5fda98ea..3a3a164ad 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,190 +1,58 @@ -"""Prepare py.test.""" +"""Prepare pytest.""" import asyncio -import json import os from base64 import b64encode -from datetime import datetime -from functools import wraps import pytest -from _pytest.tmpdir import _mk_tmp -from vcr import VCR -from vcr.cassette import Cassette -from vcr.persisters.filesystem import FilesystemPersister -from vcr.serialize import deserialize, serialize -# Prevent calls to sleep -async def _sleep(*args): - raise Exception("Call to sleep") +class Placeholders: + def __init__(self, _dict): + self.__dict__ = _dict -asyncio.sleep = _sleep +@pytest.fixture +def image_path(): + """Return path to image.""" + + def _get_path(name): + """Return path to image.""" + return os.path.join(os.path.dirname(__file__), "integration", "files", name) + return _get_path -def b64_string(input_string): - """Return a base64 encoded string (not bytes) from input_string.""" - return b64encode(input_string.encode("utf-8")).decode("utf-8") +def pytest_configure(config): + pytest.placeholders = Placeholders(placeholders) + config.addinivalue_line( + "markers", "cassette_name: Name of cassette to use for test." + ) + config.addinivalue_line( + "markers", "recorder_kwargs: Arguments to pass to the recorder." + ) -def env_default(key): - """Return environment variable or placeholder string.""" - return os.environ.get(f"prawtest_{key}", f"placeholder_{key}") +@pytest.fixture(autouse=True) +def patch_sleep(monkeypatch): + """Auto patch sleep to speed up tests.""" -def filter_access_token(response): - """Add VCR callback to filter access token.""" - request_uri = response["url"] - if "api/v1/access_token" not in request_uri or response["status"]["code"] != 200: - return response - body = response["body"]["string"].decode() - try: - token = json.loads(body)["access_token"] - response["body"]["string"] = response["body"]["string"].replace( - token.encode("utf-8"), b"" - ) - placeholders["access_token"] = token - except (KeyError, TypeError, ValueError): + async def _sleep(*_, **__): + """Dud sleep function.""" pass - return response - - -def serialize_dict(data: dict): - """This is to filter out buffered readers.""" - new_dict = {} - for key, value in data.items(): - if key == "file": - new_dict[key] = serialize_file(value.name) - elif isinstance(value, dict): - new_dict[key] = serialize_dict(value) - elif isinstance(value, list): - new_dict[key] = serialize_list(value) - else: - new_dict[key] = value - return new_dict - - -def serialize_file(file_name): - with open(file_name, "rb") as f: - return f.read().decode("utf-8", "replace") - - -def serialize_list(data: list): - new_list = [] - for item in data: - if isinstance(item, dict): - new_list.append(serialize_dict(item)) - elif isinstance(item, list): - new_list.append(serialize_list(item)) - elif isinstance(item, tuple): - if item[0] == "file": - item = (item[0], serialize_file(item[1].name)) - new_list.append(item) - else: - new_list.append(item) - return new_list + monkeypatch.setattr(asyncio, "sleep", value=_sleep) + + +os.environ["praw_check_for_updates"] = "False" placeholders = { - x: env_default(x) + x: os.environ.get(f"prawtest_{x}", f"placeholder_{x}") for x in ( - "auth_code client_id client_secret password redirect_uri test_subreddit" - " user_agent username refresh_token" + "auth_code client_id client_secret password redirect_uri refresh_token" + " test_subreddit user_agent username" ).split() } -placeholders["basic_auth"] = b64_string( - f"{placeholders['client_id']}:{placeholders['client_secret']}" -) - - -class CustomPersister(FilesystemPersister): - @classmethod - def load_cassette(cls, cassette_path, serializer): - try: - with open(cassette_path) as f: - cassette_content = f.read() - except OSError: - raise ValueError("Cassette not found.") - for replacement, value in [ - (v, f"<{k.upper()}>") for k, v in placeholders.items() - ]: - cassette_content = cassette_content.replace(value, replacement) - cassette = deserialize(cassette_content, serializer) - return cassette - - @staticmethod - def save_cassette(cassette_path, cassette_dict, serializer): - data = serialize(cassette_dict, serializer) - for replacement, value in [ - (f"<{k.upper()}>", v) for k, v in placeholders.items() - ]: - data = data.replace(value, replacement) - dirname, filename = os.path.split(cassette_path) - if dirname and not os.path.exists(dirname): - os.makedirs(dirname) - with open(cassette_path, "w") as f: - f.write(data) - - -class CustomSerializer(object): - @staticmethod - def serialize(cassette_dict): - cassette_dict["recorded_at"] = datetime.now().isoformat()[:-7] - return ( - f"{json.dumps(serialize_dict(cassette_dict), sort_keys=True, indent=2)}\n" - ) - - @staticmethod - def deserialize(cassette_string): - return json.loads(cassette_string) - - -vcr = VCR( - before_record_response=filter_access_token, - cassette_library_dir="tests/integration/cassettes", - match_on=["uri", "method"], - path_transformer=VCR.ensure_suffix(".json"), - serializer="custom_serializer", -) -vcr.register_serializer("custom_serializer", CustomSerializer) -vcr.register_persister(CustomPersister) - - -def after_init(func, *args): - func(*args) - - -def add_init_hook(original_init): - """Wrap an __init__ method to also call some hooks.""" - - @wraps(original_init) - def wrapper(self, *args, **kwargs): - original_init(self, *args, **kwargs) - after_init(init_hook, self) - - return wrapper - - -Cassette.__init__ = add_init_hook(Cassette.__init__) - - -def init_hook(cassette): - if not cassette.requests: - pytest.set_up_record() # dynamically defined in __init__.py - - -class Placeholders: - def __init__(self, _dict): - self.__dict__ = _dict - - -def pytest_configure(): - pytest.placeholders = Placeholders(placeholders) - - -@pytest.fixture -def tmp_path(request, tmp_path_factory): - # Manually create tmp_path fixture since asynctest does not play nicely with - # fixtures as args - request.cls.tmp_path = _mk_tmp(request, tmp_path_factory) +placeholders["basic_auth"] = b64encode( + f"{placeholders['client_id']}:{placeholders['client_secret']}".encode("utf-8") +).decode("utf-8") diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py index f3697e04e..71c7d2c5c 100644 --- a/tests/integration/__init__.py +++ b/tests/integration/__init__.py @@ -1,115 +1,106 @@ """Async PRAW Integration test suite.""" import asyncio -import inspect -import logging +import os import aiohttp import pytest +from vcr import VCR from asyncpraw import Reddit -from tests import BaseTest, HelperMethodMixin -from tests.conftest import vcr +from tests import HelperMethodMixin +from .utils import ( + CustomPersister, + CustomSerializer, + ensure_environment_variables, + ensure_integration_test, + filter_access_token, +) -class IntegrationTest(BaseTest, HelperMethodMixin): - """Base class for Async PRAW integration tests.""" - - logger = logging.getLogger(__name__) +CASSETTES_PATH = "tests/integration/cassettes" +existing_cassettes = set() +used_cassettes = set() - @pytest.fixture(autouse=True) - def auto_close_reddit(self, event_loop): - yield - event_loop.run_until_complete(self.reddit.close()) - def setup_method(self, method): - self._overrode_reddit_setup = True - self.setup_reddit() - self.setup_vcr() - - def setup_vcr(self): - """Configure VCR instance.""" - self.recorder = vcr +class IntegrationTest(HelperMethodMixin): + """Base class for Async PRAW integration tests.""" - # Disable response compression in order to see the response bodies in - # the VCR cassettes. - self.reddit._core._requestor._http._default_headers[ - "Accept-Encoding" - ] = "identity" + @pytest.fixture + def cassette_name(self, request, vcr_cassette_name): + """Return the name of the cassette to use.""" + marker = request.node.get_closest_marker("cassette_name") + if marker is None: + return vcr_cassette_name + return marker.args[0] + + @pytest.fixture(scope="session", autouse=True) + def cassette_tracker(self): + """Return a dictionary to track cassettes.""" + global existing_cassettes + for cassette in os.listdir(CASSETTES_PATH): + if cassette.endswith(".json"): + existing_cassettes.add(cassette.replace(".json", "")) + yield + unused_cassettes = existing_cassettes - used_cassettes + if unused_cassettes: + raise AssertionError( + f"The following cassettes are unused: {', '.join(unused_cassettes)}." + ) + @pytest.fixture(autouse=True) + def read_only(self, reddit): + """Make reddit instance read-only.""" # Require tests to explicitly disable read_only mode. - self.reddit.read_only = True - - pytest.set_up_record = self.set_up_record # used in conftest.py - - def setup_reddit(self): - self._overrode_reddit_setup = False + reddit.read_only = True + + @pytest.fixture + async def reddit(self, vcr, event_loop: asyncio.AbstractEventLoop): + """Configure Reddit.""" + reddit_kwargs = { + "client_id": pytest.placeholders.client_id, + "client_secret": pytest.placeholders.client_secret, + "requestor_kwargs": { + "session": aiohttp.ClientSession( + loop=event_loop, headers={"Accept-Encoding": "identity"} + ) + }, + "user_agent": pytest.placeholders.user_agent, + } - self._session = aiohttp.ClientSession() if pytest.placeholders.refresh_token != "placeholder_refresh_token": - self.reddit = Reddit( - requestor_kwargs={"session": self._session}, - client_id=pytest.placeholders.client_id, - client_secret=pytest.placeholders.client_secret, - user_agent=pytest.placeholders.user_agent, - refresh_token=pytest.placeholders.refresh_token, - ) + reddit_kwargs["refresh_token"] = pytest.placeholders.refresh_token else: - self.reddit = Reddit( - requestor_kwargs={"session": self._session}, - client_id=pytest.placeholders.client_id, - client_secret=pytest.placeholders.client_secret, - password=pytest.placeholders.password, - user_agent=pytest.placeholders.user_agent, - username=pytest.placeholders.username, - ) - - def set_up_record(self): - if not self._overrode_reddit_setup: - if pytest.placeholders.refresh_token != "placeholder_refresh_token": - self.reddit = Reddit( - requestor_kwargs={"session": self._session}, - client_id=pytest.placeholders.client_id, - client_secret=pytest.placeholders.client_secret, - user_agent=pytest.placeholders.user_agent, - refresh_token=pytest.placeholders.refresh_token, - ) + reddit_kwargs["username"] = pytest.placeholders.username + reddit_kwargs["password"] = pytest.placeholders.password - def use_cassette(self, cassette_name=None, **kwargs): - """Use a cassette. The cassette name is dynamically generated. + async with Reddit(**reddit_kwargs) as reddit_instance: + yield reddit_instance - :param cassette_name: (Deprecated) The name to use for the cassette. All names - that are not equal to the dynamically generated name will be logged. - :param kwargs: All keyword arguments for the main function - (``VCR.use_cassette``). - - """ - dynamic_name = self.get_cassette_name() - if cassette_name: - self.logger.debug( - f"Static cassette name provided by {dynamic_name}. The following name" - f" was provided: {cassette_name}" - ) - if cassette_name != dynamic_name: - self.logger.warning( - f"Dynamic cassette name for function {dynamic_name} does not match" - f" the provided cassette name: {cassette_name}" - ) - match_on = kwargs.get( - "match_requests_on", None - ) # keep interface same as in PRAW - if match_on: - kwargs["match_on"] = kwargs.pop("match_requests_on") - return self.recorder.use_cassette(cassette_name or dynamic_name, **kwargs) - - def get_cassette_name(self) -> str: - function_name = inspect.currentframe().f_back.f_back.f_code.co_name - return f"{type(self).__name__}.{function_name}" - - @pytest.fixture(autouse=True, scope="function") - def patch_sleep(self, monkeypatch): - """Patch sleep to speed up tests.""" - - async def _sleep(*_, **__): - pass + @pytest.fixture(autouse=True) + def vcr(self): + """Configure VCR instance.""" + vcr = VCR() + vcr.before_record_response = filter_access_token + vcr.cassette_library_dir = CASSETTES_PATH + vcr.decode_compressed_response = True + vcr.match_on = ["uri", "method"] + vcr.path_transformer = VCR.ensure_suffix(".json") + vcr.register_persister(CustomPersister) + vcr.register_serializer("custom_serializer", CustomSerializer) + vcr.serializer = "custom_serializer" + yield vcr - monkeypatch.setattr(asyncio, "sleep", value=_sleep) + @pytest.fixture(autouse=True) + def vcr_cassette(self, request, vcr, cassette_name): + """Wrap a test in a VCR.py cassette""" + global used_cassettes + kwargs = {} + marker = request.node.get_closest_marker("recorder_kwargs") + if marker is not None: + kwargs.update(kwargs) + with vcr.use_cassette(cassette_name, **kwargs) as cassette: + if not cassette.write_protected: + ensure_environment_variables() + yield cassette + ensure_integration_test(cassette) + used_cassettes.add(cassette_name) diff --git a/tests/integration/cassettes/TestAuthWeb.test_authorize.json b/tests/integration/cassettes/TestAuthWeb.test_authorize.json index 4096ac3c1..cd021de5b 100644 --- a/tests/integration/cassettes/TestAuthWeb.test_authorize.json +++ b/tests/integration/cassettes/TestAuthWeb.test_authorize.json @@ -1,69 +1,69 @@ { "interactions": [ - { - "request": { - "method": "POST", - "uri": "https://www.reddit.com/api/v1/access_token", - "body": [ - [ - "code", - "" - ], - [ - "grant_type", - "authorization_code" - ], - [ - "redirect_uri", - "" - ] - ], - "headers": { - "User-Agent": [ - " Async PRAW/7.1.1.dev0 asyncprawcore/1.4.0.post1" - ], - "Accept-Encoding": [ - "identity" - ], - "Connection": [ - "close" - ], - "AUTHORIZATION": [ - "Basic " - ] + { + "request": { + "method": "POST", + "uri": "https://www.reddit.com/api/v1/access_token", + "body": [ + [ + "code", + "" + ], + [ + "grant_type", + "authorization_code" + ], + [ + "redirect_uri", + "" + ] + ], + "headers": { + "User-Agent": [ + " Async PRAW/7.1.1.dev0 asyncprawcore/1.4.0.post1" + ], + "Accept-Encoding": [ + "identity" + ], + "Connection": [ + "close" + ], + "AUTHORIZATION": [ + "Basic " + ] + } + }, + "response": { + "status": { + "code": 200, + "message": "OK" + }, + "headers": { + "Connection": "close", + "Content-Length": "176", + "Content-Type": "application/json; charset=UTF-8", + "x-frame-options": "SAMEORIGIN", + "x-content-type-options": "nosniff", + "x-xss-protection": "1; mode=block", + "Cache-Control": "max-age=0, must-revalidate", + "X-Moose": "majestic", + "Accept-Ranges": "bytes", + "Date": "Sat, 04 Jul 2020 20:47:13 GMT", + "Via": "1.1 varnish", + "X-Served-By": "cache-mci5949-MCI", + "X-Cache": "MISS", + "X-Cache-Hits": "0", + "X-Timer": "S1593895633.443734,VS0,VE169", + "Set-Cookie": "edgebucket=jAOlvRQiwVTzbZ17mQ; Domain=reddit.com; Max-Age=63071999; Path=/; secure", + "Strict-Transport-Security": "max-age=15552000; includeSubDomains; preload", + "Server": "snooserv" + }, + "body": { + "string": "{\"access_token\": \"\", \"token_type\": \"bearer\", \"expires_in\": 3600, \"refresh_token\": \"40646879-jy7U4xwiZr66H1H3lmI9_3ARDWQ\", \"scope\": \"submit\"}" + }, + "url": "https://www.reddit.com/api/v1/access_token" + } } - }, - "response": { - "status": { - "code": 200, - "message": "OK" - }, - "headers": { - "Connection": "close", - "Content-Length": "176", - "Content-Type": "application/json; charset=UTF-8", - "x-frame-options": "SAMEORIGIN", - "x-content-type-options": "nosniff", - "x-xss-protection": "1; mode=block", - "Cache-Control": "max-age=0, must-revalidate", - "X-Moose": "majestic", - "Accept-Ranges": "bytes", - "Date": "Sat, 04 Jul 2020 20:47:13 GMT", - "Via": "1.1 varnish", - "X-Served-By": "cache-mci5949-MCI", - "X-Cache": "MISS", - "X-Cache-Hits": "0", - "X-Timer": "S1593895633.443734,VS0,VE169", - "Set-Cookie": "edgebucket=jAOlvRQiwVTzbZ17mQ; Domain=reddit.com; Max-Age=63071999; Path=/; secure", - "Strict-Transport-Security": "max-age=15552000; includeSubDomains; preload", - "Server": "snooserv" - }, - "body": { - "string": "{\"access_token\": \"\", \"token_type\": \"bearer\", \"expires_in\": 3600, \"refresh_token\": \"40646879-jy7U4xwiZr66H1H3lmI9_3ARDWQ\", \"scope\": \"submit\"}" - }, - "url": "https://www.reddit.com/api/v1/access_token" - } - } ], "recorded_at": "2020-07-04T18:07:23", "version": 1 diff --git a/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_html_response.json b/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_html_response.json index 90c496784..52ef11e50 100644 --- a/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_html_response.json +++ b/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_html_response.json @@ -5,7 +5,11 @@ "body": [ [ "grant_type", - "client_credentials" + "refresh_token" + ], + [ + "refresh_token", + "" ] ], "headers": { @@ -19,7 +23,7 @@ "close" ], "User-Agent": [ - " Async PRAW/7.2.1.dev0 asyncprawcore/2.2.0" + " Async PRAW/7.6.1.dev0 asyncprawcore/2.3.0" ] }, "method": "POST", @@ -27,28 +31,66 @@ }, "response": { "body": { - "string": 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400 Bad request

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400 Bad request

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} } ], - "recorded_at": "2021-06-16T16:20:00", + "recorded_at": "2022-11-26T12:39:40", "version": 1 } diff --git a/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_plain_response.json b/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_plain_response.json index 95e8bf7bf..2c1c25d1b 100644 --- a/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_plain_response.json +++ b/tests/integration/cassettes/TestReddit.test_bad_request_without_json_text_plain_response.json @@ -5,7 +5,11 @@ "body": [ [ "grant_type", - "client_credentials" + "refresh_token" + ], + [ + "refresh_token", + "" ] ], "headers": { @@ -19,7 +23,7 @@ "close" ], "User-Agent": [ - " Async PRAW/7.2.1.dev0 asyncprawcore/2.2.0" + " Async PRAW/7.6.1.dev0 asyncprawcore/2.3.0" ] }, "method": "POST", @@ -27,28 +31,66 @@ }, "response": { "body": { - "string": "{\"access_token\": \"\", \"token_type\": \"bearer\", \"expires_in\": 3600, \"scope\": \"*\"}" + "string": "{\"access_token\": \"\", \"token_type\": \"bearer\", \"expires_in\": 86400, \"refresh_token\": \"\", \"scope\": \"creddits modnote modcontributors modmail modconfig subscribe structuredstyles vote wikiedit mysubreddits submit modlog modposts modflair save modothers adsconversions read privatemessages report identity livemanage account modtraffic wikiread edit modwiki modself flair history\"}" }, "headers": { - "Accept-Ranges": "bytes", - "Cache-Control": "max-age=0, must-revalidate", - "Connection": "close", - "Content-Length": "109", - "Content-Type": "application/json; charset=UTF-8", - "Date": "Wed, 16 Jun 2021 21:39:47 GMT", - "Server": "snooserv", - "Set-Cookie": "edgebucket=R2wnyKFGO63egqd4TT; Domain=reddit.com; Max-Age=63071999; Path=/; secure", - "Strict-Transport-Security": "max-age=15552000; includeSubDomains; preload", - "Via": "1.1 varnish", - "X-Clacks-Overhead": "GNU Terry Pratchett", - "X-Moose": "majestic", - "x-content-type-options": "nosniff", - "x-frame-options": "SAMEORIGIN", - "x-ratelimit-remaining": "109", - "x-ratelimit-reset": "13", - "x-ratelimit-used": "191", - "x-reddit-loid": "0000000000crl0lg50.2.1623879587377.Z0FBQUFBQmd5bS1qd2ozVXl0b2lLd0hyQ2hvZllFbm10bjdhZnlqT3FsVmhIc1B5LXExZUFLakZvclAycWZQQ2NiOUlzbWhjdC1Tb0tHcFZEZGliVnlCWDBENXZZZXQyZWszOUNqUy1LYXdSc25xM0dKYnp3bXAzN0hjYVhWUXdZc0xxakJNQTg4Mms", - "x-xss-protection": "1; mode=block" + "Accept-Ranges": [ + "bytes" + ], + "Cache-Control": [ + "private, max-age=3600" + ], + "Connection": [ + "close" + ], + "Content-Length": [ + "454" + ], + "Content-Type": [ + "application/json; charset=UTF-8" + ], + "Date": [ + "Sat, 26 Nov 2022 18:28:03 GMT" + ], + "NEL": [ + "{\"report_to\": \"w3-reporting-nel\", \"max_age\": 14400, \"include_subdomains\": false, \"success_fraction\": 0.2, \"failure_fraction\": 0.2}" + ], + "Report-To": [ + "{\"group\": \"w3-reporting-nel\", \"max_age\": 14400, \"include_subdomains\": true, \"endpoints\": [{ \"url\": \"https://w3-reporting-nel.reddit.com/reports\" }]}, {\"group\": \"w3-reporting\", \"max_age\": 14400, \"include_subdomains\": true, \"endpoints\": [{ \"url\": \"https://w3-reporting.reddit.com/reports\" }]}" + ], + "Server": [ + "snooserv" + ], + "Set-Cookie": [ + "edgebucket=6NDHAAKLPChZjHSfe3; Domain=reddit.com; Max-Age=63071999; Path=/; secure" + ], + "Strict-Transport-Security": [ + "max-age=31536000; includeSubdomains" + ], + "Via": [ + "1.1 varnish" + ], + "X-Content-Type-Options": [ + "nosniff" + ], + "X-Frame-Options": [ + "SAMEORIGIN" + ], + "X-XSS-Protection": [ + "1; mode=block" + ], + "x-moose": [ + "majestic" + ], + "x-ratelimit-remaining": [ + "298" + ], + "x-ratelimit-reset": [ + "117" + ], + "x-ratelimit-used": [ + "2" + ] }, "status": { "code": 200, @@ -67,30 +109,42 @@ "Authorization": [ "bearer " ], + "Cookie": [ + "edgebucket=6NDHAAKLPChZjHSfe3" + ], "User-Agent": [ - " Async PRAW/7.2.1.dev0 asyncprawcore/2.2.0" + " Async PRAW/7.6.1.dev0 asyncprawcore/2.3.0" ] }, 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kclLcbV9Hu7RhTQrm6SMQCAZCu6GdSJiFNZa-moNa12rP4Wdaa20JGo9wRqLDpoLfyudsaqnpxE3BWvhIY9PguMQk9UnpCSZEHZWibqcGW_bhSVC-mQMyXG9rq2hm0Rgbqf2q9GiQMjP39l14oo7p4MiPNlq1zrO6m3VmAN15-XawzaWvaAN1nv6uGZQzOF0lxZMMWwQB9zhTlWgNLiI5hZ9YEM0QZHMpof0tUwQBCa18A0ibRphXWdVp0SNIlsmwW5U1qbSMhpiQunxPTuojSZaZ52T41mM7qTmSbHghY9BFKTEbcJrNB1GBJtNrFNEhQ3AkKNFdSiRglStC2lqBJggWWVMykGgz9Sz6KNpNO0WugP-G1YIjfhW1KrTpEOAO26S_GMWZTzIC6bqzVvRiIHlGscOlBsAB8orvQcD4WeSYYUNRkEhT3pVRRgOmDvCvjGkd00OGn3O6gL6Rj6Z8rOrI6nSvMfAU1Wimw8QFuVI6r0wy0W8pyaK1pYBi4WD1u6bozUaHEADhdJx-1zqz-kgS3hb5TrogspQBOSFNkKD6EDgq8u-0T9MEzEnkLlLl7dILaLg6RAAWNhVfRJ91pMd6F7Aj3USwTRLpEJoozp4vYxsgsGgEabEXut6GbSvqMJ6YIoAnCDvSk4gYhAooBs28KWmOFEixhWWh29Nrb3fcBBQ9MDACBDQLYGwKGAKU-83RMU9AA4wrvxR9DTJEfKaYHowcfZExzKVsAEmQoYIpRJIzdNMVFHVNj4hXUsD_DC4mEgH-HgmRtZS-pgGkA68xhNXOgNLUZFtkWQGdNrkm8IeK-gcZ91ZUXZRE2zC1xrOC6iAJ3Vt_ZEf8ADxcYWP7aP6Bi48ouBT6bvaS35UXxYUQItHuFWc7c7p9xnwhYIowMQUiYZtAm538KtSOfQIc2MJqg2nyI-FNSnZR7wYn3WpWKJ6edsp9I4UIN_iFFcaAcJETym6lFlESCQR8wm4hjTwAFbRzaN4hBT0rfSnYZlHXNrytRKLqHLd-E3UjvSJkBpRoxowPpMnlaHehgCIU0EUoid-E0UFC2FrWfAf0-gHb-Vm-tC2hvpk-FqWBvQMJeSWHbQm5H3Vl6SFNHu_sVnWkxSOobSEtqRQdMZxCsqqNpbgCBwpuM0XdOScBXUEdNp9-Fq3oE9OQMfBWdDs6cPcDEFa1MdU6buKpg_wCGI2TxRb047pG9k1LDs6e8EfKupHP6YSmlhG9OD7ys_Qv-EIMGLq7i_is3pu0SJnKSrmA_pRpxfnhLRIdMZu3KxEw7emJEgLWmKHpxpxnZXdVxoeFS9kNAE2v55U9TDN6Wb_lDHf4YcBWVcOKBsFq1MKelN5zKwoegAPPuqYdvTFwB7c7KHi7OmhpsVqMcocUbkFVjB9DATVUZRjIn3WigenBMiZS0IenvxHKzqYIoTciYWFOOnmbLctBHTR_utbQ3oji3hWUEdPqE7q6FPTgEAi44U0H0LGBKkTHCgePwtKP-G3wqAaGIH3WdHOoSPCmgDpO4FNDegOI8q6ld_hwbQT5TSA6gBa8-6aojph72wmjh0tr38K7RzelMi1kFB04sJstbg4UA2Rn4UtAHTT5_CzUpx0wAxtyojh007DGy2ot6bS4GFEUFKTYKyocUIkxdXYD6Rc0Ttsrv7HGhvCu9L8M2iSIj7LCONCdithm0ZMEeQgY0YtC0Y70IvGLoHbRLhYIlMKACIU0be6q4ZvTO4lTUH0LxhEpx0_iIWpcZU9KnEFpJH5XX8-OdplBtMgxYLM5d4qjaDSRZdmD-gAJ0mVnWuyupA7fCdMh_ggcSp0pHdIW2hTWgPTW5WbRJ3TxtKx-TX4727_DkgEx8JqyCKGjyUlTDegTtfdb_ACSw7eim4wukxn_DnoeETSf4SJ_cmVdA9KWiwUyppR0jtxPlTWnf4Yh3ATVd_hicYQc7puCluIVvSkOWZWhPTmMLWsnZ00TZIO_wx4S2Cb-lIOFi_wBAGg7EKLB_wvIwrkKV_SkX_CYsIenJuBcKeKLenItAWdHHpSDhAv8AhnTiQouO_wANFondEcOmJkwgA6eThagdvSkFQcaMbFAP8NeYTVwPRi8BEH_D6hYKLgHprRC2hRQLdpWGjDp9iETBHTEbey1EK6ieJUrUIaE4b8qBP8NBPbKDv8NaITQp6Yt2kKaE9DkYVHf4eDJErAX0ATcK-BD0szZS0J_hI-Fht3-HvKA-h-VdSm9GNlvGX8pXMI40jZ1l2rzSGAL2d_1DgbLOx0TfTIBA7idgs30K1gDQ0bypqRXAPtdWVTNb2EggHZD1MnS51sHATsM6C0DDldpZq_TdO7VYlwF1041mTHt0G6gTAxYK1ap6bnAO7jOwRir0W6XAwAcSERorNFSmW7D6grgWlRJJA3EFXoi9HptJd-wTIkzZZab-lpkkCSGgSBFyVYLGm4McSYc7yl7GdrHtHcSbXhSjRTpNYBE8gbKDU7pdX1x6gIIvC1aPPrEUqga3ucf2i0Ln-XwaabHdjtXcLG2fZUVdWIADd9jchXU-sj6eqqCccFZtrcNRpim0ktEEi4MrUupVKdMO6g1DYExZTe0b3UZpAA9zQMFL-2oyFrjIbJg3BXP1cCtScKTBcyZ0mwTxcSpNLSDAFwdM3ypjT1HVR1ZIgBzGwHC1li3Ooz9egPX6b9Pphhb6T3S7dx91u3pa9rpKbKfXNdUY4aWEwN58LE5MvVp1g-g2m01HNpkk4mPK7Tl0PZ_TSKtXpuopmJboPqDHP3WpfrL6vp63a2mT6QyyDlS7GHodJS0t_wAwhzskjJ9l03o1jq1HnqHl4mTbZc5co9ejHpBx7H2-ybo19CxrnEukAfYrYyda3W90Sxk3E_UschPpGgVO2GNd5mPKz52a9hgpupa3Eag23ursqNX6XSc-oNUl2QQLrW6jwP8AqH-jnq_0cinTJdM2uQZXH-Ttvj6_x6n0Yo9WQ8em-e5sYsuHHp2rR-o0QKQcLgC5hdcSPm-oa1wIaCIXK-usZ39MXSTZsWlTcZsScwtLWgw07FP7ZkRqtGouHt7LaWBTpB_cDHuseIZ7YOmBBM5j8JuukLTNm8TdWNrNAOqGiRtyqjOGObYiW5A3lSpimhrXQ4Xja11FwobpAOXRNtkC1WOtzlNWOp0u0u0mdpCa1kXFM0xIgG0nlNwc4Bsyb7K70fBZAaC0EEZkyuXJHABzyHN0g3MrLpDt0zw38rUVYUu0EE3U3tVGNuGkWi8pUOCQ0tAgTlS1dV9PUwLGtC3kWETdXWj6NQnHCKAoy5snU6PhGFhQApghslGylpaf-4WvhSgBjpPGFeg0Bp5J3WKH0ajqIJHATYNdKidAsIiY3WPq41UaQdYk2E5RqNNOl3ybck7lKq3pkSB2xupqlLTMWnxupQhZhxgkq41gU-m1OJNwVcYwr6cVJgEmwuserjmUpOPstQ_FpDNORHyt-B2smRP3Wt1mxB3TSSQuX0h6dLANzKXuqepTBdpiADKTpfQ9GWgYbCq4704tOVnTHekBIaA73wn5YlgtpTedWxWbjOdgxoc6xj33RGilQvJANwukMbP8OCwkjPC7QO2kwsuCSBaTlW-DOaWgEnB2XMwhpkQAbcqbDHClqaf3A2iU1nE3dPcnTtlZ1qFNISPsnrbtAaBMXvKyCaOtk7zZZgalSJJPPlNFgyDi_hN0UDCCbmRYqztLFG07Tgm62SYuylMxg5G6KOg7lc6uQGtsZE8SoigpBoxcY2C1OS-uZRMEzdb1iua0BxnuO0LOJHPpA4E-JSxs7KFoiyz4lUbTBIyAukqHqU8asKciFFNoI0iNwseNN_TtJaBI916eHjnfWgUwTY24V3sgOoAmQPa6lkXor6Y4uNguVtXP0kaIbaPys_61jvTDrZ9lnexRjWEzGbLWrijqQefCzrOOFHSZtCamKNYA0A58KxDilAgXvcoKCloE5HhagbQHH82Kb8AFMGCcSpugupAnIyoCaAkyR8LUFP8ADwLW-VdHGmWgiM-VnQDQLu4g4TR3oBsyLJooKOoknuE4WgfQl5J-yyAaIEy2U0K2g0XhaDekDI04Cz_Y6nROeDMIKCmckQjIPYQLyT4TVxDRJgCSVPFUbSEQQqD6YbbAKgdlK98DCrKoZDZ0xKujnU5ErdTpNtGHd3d7FY1qYYiRj3TVUpUdQkzGyaD6YJIj5TQfTBhPyD-kA0Ec8q-djiwWOFNHFstMG3lNAdSJFolKqzKUNgXnZVMc6iL9sD3QFtEACBeeUSh6EGI9yEZ6-iaAcNz4Kh0AohpCqKNpwJF_Yq6sEUTv-Ut1TCkB59lZg4tmCBEq70Oa2f4WZcDloMCbre6D6RbBWNDMoSJytSsqegZgK6gej3G3ypoZvTht4vF1rdDGhMbgjcq2Lrm0RABgQFYz5XVKQafHIUqxMdOHdxkD3U0UFMTa05koD6J1wiZqooRci4VZMWQZiyaoiiCJIvstfEcGQbxOymhvRAEq6OFMDyFdBNMN2mVNg7RYQroBpSSZEoG0BwOkY8poDaUg_wBk1qURT9_ukQTSAkZVtQopNBWRzaRiyBxTk3HyqD6YIsVrR3oQPPupQgogbT5lQOymNhBhNDilAWpQvpAyYI90AHT8iYU0WZSwIz5TQ_pCZi_uqzYcUcElXWHObJ8qasM2mXAGcKxaZ1IWVtZL6BjMrMoZtC6uhvRja_utQEUtTRAJ-U0N_h7ATJQEUoBSVcK6kJxf3V1BbSEf8poYUQTxGbpoBptNxzymjn0RIdn5Ug49OBkflaC-mALYWQz6UgWj2V0AUwCb_CoJob5KxRzaN-VoN6QAETKujjR4GfKoPpGwNkSmFHabopfR74Nz4TQ5ojg3TQW9PBkjCugtot3Ez5UqUWU7kR8qMnDJW1wwpJQzenvv91NDegAbAzypqCaLR4Kuq40snda0wzaQgnT-VVwPRnb4Qw7aUG4uUMOacGIWogGlbhXtDaIRRDCRiEZwxpwDYJWcAU5FgjWCKN7t_KkSw3omMH4W_wAriSdiKZjH3WLatmubTg3AVnKs40MA0gQGldpzjOKf4VrwQPda6qpu6LSDZSwQf00ujTC5WOm9AOmj9sIRx6cm4FgoB_hy0zpIlRDtYW2AgLUqYsBqHELrKljhSHC1rOAWB2wT8p8MK6kHbLOtYQ0WlhsUpjhSANheFFwDS7cX8oY5lIDMSolB1K8G8p4h_QtEflAh6cf-FVcKaILrjFli9rjhQgmAplRxpxaLpDHGjjC3DCHpyTMSEWCengEx-VmxdA0TNxCxjWx3-GM4_KuGj6NsWSwJ6Ek2Kg70IFgmUMaF_pVMKaHAIHkrSY70w0QTKxVhBQAKKYUgiO9KeUXAHTXwhhjQlEcKObY5WtMKaN5hc7TAFEwbfKa1hT00tlWmEFFpPlQwDSGIUMKenH-n8qfTA_w83utGFHTESpTHOokfKymIOowCCCTys1oPQsLfKBx08iE9Si6hpMBaTH8lmVDd4ETibhei680oajTaQRr4U96XsRUwLDysVobapiSBjlQO2XN49loEAuAAn4SiVWJJBkTukuCtI-pmAMK_2NnSzTc1s6vMQtweqzTAAkXWs-sqtbYFtyM-LrMus1o9BxOxP-oWlakRr0BktcQTK0CQ17G6XCWk5GFMFaRNTsY6HjIIz5WsG2jSexsuvsCP7rOLArBzGS03AmFi1WRnVGq4t0kTyrovTqRDZkb-FPRup1ps4S4izuFoYK7dNUPu5zjM_wArA0UXetRb3exVsFYDGywAR-4qCWouJgDXsSq1AALCHOjRvAUSno1mvqaHN0yLGcqXUanucATIF1NbTYdTnPLogWH907EqjjU_1YkTZZtWG6Ou-peAXgXAjZZl1pqc7_DVH07aTE8mU5TGXo9Ox7aetrSWEg6ZiOFm77EfQdD1mpoq1ZNX9rBkePKss3VUpdf69ZwwSb0wN_JT8s8SR736ATWosmfT_dwTK68LnVK-rbQ9ZzHU3AFjdLQdhyutjD0P0-rLQHF1QtyfZXEw9LRXqEuGi0iSVykRdtfDw46Ww2GqDb0Nc1HSZLjOTsumxpp6npm1AHvdoaFKy89v-URVbIabZyuY00KgcQXS4kzfZQe_0tbQdRMGItwunHxE_wBTDq9N5bTN7ZUskXi_xv8AqWp0z_1H0OnZFWm4-o8uyV57mu0rF19IO6IADY3jK37FfH1gdTxN2OGFyx0gPcaZEhz9WApGb0y1H6nPcGgEc7LWEhnt1sGdjIwpelxEh2jJAm1sqaljmgOqEuMHElZzDLDdtTsuBkq7jolJBLgYOAFfUrnAi5sDup6ijJEOMgcxdMwEOGmQ0-Sp9WFcwNJl07hVRpy0d0SVLFO_SMy-dzspDUPUc6r3GQRk7LQ0NOlsgiY_aL_KzZPoPa4kgk6TcrH0UcyQ10DOVp0hqddpJbYXj3Uw1emBOqLKGadtMExOcQs1ZPi9OmSwA5iy5uvhQ0tgE3GAg4w3e7tiZujGqsBDA7J5BW21AJbtbaVPGihpcRss2hi1zozFloCozQTedxZYIpRogjUT5PhKNtMB1Nw2Hws78GhjCZuTG3CYNrGksIj2lYXzDHPvmVq1oju4kgtEHZGki4EgcndUp3GGmLK7kY2oBpcTAMrnO25FqdMMIaRPjC14KiAA0WvMytazaI1EnySUjJtDsxbcLN8DsDZkiBgLManrm3znyn1ccW9pbwFrY0RtIuIvAWLRSGnjOErNLVbe_wBPARM0KbIcTEALUaxtpNlzRO2OV0ZrXTsSA0kRhdYwVzSXgzAF8pVRrOmZEieVzpESZMTB4WVoF41QBjwtMm9MkSAb7LNawjQC4i88KNZ4nVphxMZ45WLe8P6c17miA0CdyU_GEi7WyZDTBWQwEgASLpp_itFuomJN5VkpIqDpEQT-F0aVpRGqbKTsPkiYJ5WKmEku3j3Kmww4Gp1z_srqqsaXt0iVqM2aDqYBaCLDhaSQje4EiC4Lnt1szXSZaLe-Fpn6sDA2gcLUXDhpeAIsQjEmABogY2k7LFaaumIPbkThdeF-M2NLiA8A29l2rJw6Tb7ImEe07CVysalwhb2wTJ4XOrrmtOox2rFal04kHEDyrrSkdoHBlRKMguuIbwpcTDtkE4I2V9ZzFIOqFUh20nSfCIa02gIA5rcx7yiuA3F1Z2Hpi_8AIRFYB5MeUE3dxJNo5WaGLdQgYzAWh31IOaYuDfwkDASdyUCl0EnO0JBw4BMbIAJYCSN0F2w4Cx-6AugD_SeZQJpPMuUE3_UDcJoAIMxtdUUYTUEzPsgo0um8j3UNEGMmGnlagsTYgGRlajKDmEOuJUrUgtFvE2Cx9T6sLEAC_uqrpkti2xU1KIBJmZ9khDQc2B8haVxGRN1ADaxH2QM0d2TEoLAw2N1YFc3cyEqqNDXDgC6awMAXVABtKDnScDbZZqnpiGwBA8rSGeyQOEB0mDsEHaRbchao5tM6jBz-FIvxxaD5Kk6Q4B0kGVRYDts3fZWRBcNtMRi6quPaYEkjyp6CHC_nla8HO-riQr_o5smbmCrO-mbNc7tECCYhStOaATMf7KfQNJa_Azuoh2wTiCU1Vj2iTZXXPCi5kn8pooAY7crUZBsG2eUDNEjxtCAHVMQYRYYMGiMpCuYzS2x-FcQC29wpfQQ0C8Ryr_Y4ttx4Cima3FoPhArmOLrflTtDNZBMwtSAgWOFQQNI9-VQbBtwFAJk49lndEiCRBgD3QWa0AYzZaFCLQOVqKV0kkWtZZtQRIABCCjSNxJQWABGFrQfTm_KrnHaABeJUrooxuoCNlWb24svb8prMJEEghTVsUaO32U3tlx7tr8q6G0wLG6vEc143ifCuhj-IWmsTPeYHwpCHbAjefCDj9JsqgEEGBcBGjgh0CIKI5wi5RlMy6P7KNHa0kYUKWIjCsrJ-ALLWQAiDMGVlYIFiVWhZBC0wJZqhUMAPBUA0gCYSgs91NDXBBFwqARJ-UBYYtG6GRQNEg_C1o5owNk9FgLfKxEom61CDpxe63FdAwTKlgOmSANrq_AdJB1R8LOgkAf2VDNbq-VoO1n_AIVdZAMhxJiFJSqsAjyjNB7LwrpClhafHlTVM25nZUp5gfSjIRF1AC69xZUMXAiyBfUd7D3VnKxcUbWcB9X3V_Kxn8dN6nquutS76mWNHpNLZHK7SRNOxjQIIF0yJtB3TNk8LN4xdRNAEi6n4mnbR0WuVrE0HtiZuFrOhAiDIsuNn6bgaQdvsrJVgj7QqgAXvlRRdTm_lXQuiJWPQ1Nq3iUTBkGflTpkhE4mFWo4Ns7-6K7QCT7LN5AGnaRkKSIWAT5VUdE4CyAWkjhTQRTg3EldMDCnF4hXBwZNkw1xokcgKfiaRzVnxdCBCql0E24XO0KWGMEqVqOayxQpiyL2RCBhuRhGjttmPdAIhGB0hzht4QK9sDlGoU3FkUpBbABugOm0kIJOP3WaFcyQeUgAdpm35Wgw7rhSib2qBPRkgyVmgmkW5-6mDmANMwtQPYbArPY_kH6prljZ1NF4I_BXqryQzZJ1EiIOCjbnMkWNhiFy3sMwgObJkxjdCLiQCbwR8rUCG7oBMSloBHcIJAjEJ6jqbgyIBJOQtRnxv6b_ANybXFgDstQelTc0gAk8i-62VppEj6bXyCpjLU2rMWBP_bdVpWp1ABBcdNlpKQ1XEDQ62xWdRfomuc4vBNrA8oPWpNLmyCTy08q0jL1tYdMXMuDGPKxWtYabS-oCYmVk9ej0bJdInUMA4VGoP1kzIn4haEAadIuY4-qDi-FBpospuBLSaQFx78IBXJ9MuFrXjdZEHuA0kAgRaDvyUCtqNrgtM3xBV-CdEkVACCc73CzNqvUoVWvp97m5iDwpf8aRrDRq0kAOEWWYjHXefUDZLQBgfwnLHXGj9NpspaqlVhaR5x5WZEaOpLK1XSCKj23Dv9QU5X4Po_6d6Gr1T-oZWphrfSFRocZbI8LX49sLP62prNRtMOcRpYKew3XOjf0nT0qtP13uIrRqDODK1xnW0fRfpxHT1BJBMTO7vZdZ12V7nTltUsewEazg8_7Lqw9X9LqNd1D2ip6jgSNbbCdwpdLHoFwohhJ0uDDIIyprOMNHqqbtNEmSTaFj1p6tF3pvDtVgMblWMvS16mAgl2qLLp8EX9I59eNR0ATp3XLBExS6sBrTG8rF9Gmj1ZYwAiA11hm_MrcI9jU3ren0MJDoOpb9jM6r_Gf6i_p9_wCm_qdZ7WvDCZLtW5XkvH_1O07eb1ZLOnADhqAzj_7V8aj5fq3wZN3ZnErEvWNaymuXN1XAORv8K-G72n2ua6CM_uurGuIh7WEl7iALQMK3tque_tJtf6QsWIzmscOIF0goLNlru4qe1Ue4PvMK1XUpeWtF1J6KOLmubew2cVb3QJ1EEEIDrkadsDnyVFijD6YaCSdpys0o6w0XIccdwREDB-ki52CutQ4BMkavJKXtKrSEC7pHg5XOLLh_obu4edlpZ-ztZeSZMT7LNavfi9IkD6o5CyRaBAc0-xUv9t-q97WgGCOZUwltDRMEkwMLLVF7RAM7mUc_pmFweBbayOjSx41WaC3cJa16DwC5t9M_SsKcNDGjkrYkTJAn_wDdKyNNAagZEAZQbaNLSNRIIMGBlZo0MpOYSSNMZvJKqtjA0C5mNipjXIj9JtvwmEqNXDcnymNoTpuDNvdIxbvQPfHbJbf7rPK_EnVMx0k6bu3uscdjWrtcfUJkZwusumnAzMyRZViiPpbOcXRDt7wQL-yqncQNrcSs46SEJgZBPhZNUB1NMZ3SQENIDojELM9AhrgOeOVvCzpN-rVpxzKzCdOc4gCXageFdSttFhY6SSOF0jLbSdLrNtbuwu0ZTc46mmYyFBHqX6KczqMrNWM7RJ1TYXjZYbzozQIkmAVcYULZcQfcKY1L8QLCx4tBNxGVnlsWdEcXTIBusXlD6DWSbjAsrrTTLRYEHws0OB6glvaPKlDMDiXEibXB3XSM5VgBUDhMxvwtNKfSBb2WJQTaIkxypfQQABIFxys4K6ZAdYKitPHErpPELUcIiPyqRJhvFwAVhV6VMEmwI8LcZ-m9Mg2gBMXVqRc5okkhbjFoVADEHSs2LKr0_aHGwO0bq8IcmpkgRAJIyuzBYLR8qT0aWEOAjMKYUpZIBN3DZPxVNzS02wF5-UJ04wYJiFh1EHTMXhUOJI5WfehRoGgzYnlEqrHYW3NZrjcfnlE9LqBtMGVKFqGHRqlWDokeUDMaRF83KqnaTgXshQdtJsVKiltBkxAxCoFoAk3OyDhDTEj5UBeC9ogxCfERJ7iNlkEHe_stKNyQTa_wmirXG87KijSHNkoJVDmBfwshD3GLhaB02j7KUc1pbIifbZX4qrHyNJuVDpRveAJAjIWogi7-Z3V1nBeQDi-FmtQjQATyET6Zp1EGLjKlVVxnA1HnhRPosi43VxRIibqgTBJJQBvMygLTqBvBCCzCNzq5RYZxtb6SVCua09wu1VmnDbzNvKagSA73RY4G0zk4RVWQb7cKxkzQNMTKoIcBIV_Ec5wvYKAPHbAMAXkKhRtJkqaKgDyCifVZjafC3J0rvMQY3SoLASBgeSoX-ikgGBZVTG_7jHlWgtbw4QSk6AfifstcgRJiPgLnC9ugvBJkkqVk1OGyN06aXDhpAifK6fHP6UgzE3RabXfTJBHhKyZhMROVqLgjJg_BUjINuceTKtFBIbHnAV8Ag4kqaCYgTBVokXgkktidws_0sEOjeyfGp2cGQABJSMi0w-4yFajjUaDdNC_v3I2T0MXwb4_hNVzjqsNtk9Ab5KYjsG1x5UswUpkESCtBm3ObrUWC42ndS9lcHAZtZTxD0zIBTdFgZIA-yuL8U1SAOFXKTsjj3XhI7fFGmBDTKrlXXlGShpJkqY3-Nw2LmxCjAmTFoTwM0Eghag791gMICGkbrbbtIAz9lIOJJObZSs10z8pCBBJHlVVA3coybUDblS9hCzTKyJkluZhVTBwOVcHGL7qkcHmLiFK0YG_AKJpnAAcKtSA0wIm6srNh29xJGVWXPBiFKsANgDlRTDPC0y5xhBzfHKlDxeyQOBZaDAmFMD5iyBwLqy4DpkclLRxaBG3KgIdIVBGVvQ7MqpVMhVI4GAQYJRaLbkwoxQJOCVSARJF1IqjYwUSucbwrumALn_dZpjnFO1Li8rPYEyFVK5xOL-y1pjmOg7pq4uyoW2krc54xZqrOoc0kGPda_wDMZ_FRnVx9V1Zzn0_FQvY4asFdPylTKm_qSPsp-RhA8GZJlPyMAuBtlRMwQGyL4Wl2mgPxCyaYUcEiAtYAWkNNkIi8yYXLO1O140x4XRKQXm0BSRYUyDwFz3Krgt3lKFPg3Wfx-glthmSoF0xyni7DBvmFcQxAAgZWMyoESc3W5Q8HSb5wtmnadDYcL8q6yDu4xtCeibmWG6WftqFLBtZZsANpXPMa0CbrLUKCCAi0jpBhaZcTbgLLWuAgRhEokyUXHCBF0RzvpRdTs3KKEhxQEgwRwgibG-VKOM8JAsd2bJQT24PwsygGHDHyroWDPCzRwOo5sr4OeJiMKhdJWKP5BOe1wDaQAAsbXXpu68ilCoXCTYjY7pVl041FgEXnbZYrSTRpeQ7cWKJ9WZUcAA7HBW4oGoZ3jaFDSk64mZCRLVaZ1G9yRsrHO1toyCCIcJ_C1PVehTdIsNLQbFdIrfSb6o_aYuFZEqwa5tQHaLpUUcwVGzgDlRKzUpJ04lZxXpdK4NsyAJuqPTqOhpLZe0juvC0MnV0SQ2TM5PhZwDpeiBMgF3-m2yysaKPT-nVOnVbYFVdah07qtGxj3VHmdUPRAODNwsUaulqPq02lxDQSLEbKDX1DNTS1umYON0HnPAJMB0RcclJBRgFBpJEyQSBsinrkU9LtJ0Pv5RqK0qzYIaLznwm6HL_T1kw4gS2VkYupqCr1DZJk30gYWbjcvTT0lWnV_wC4tdPyn1Wk1CwF4AIaS0Rkys30x736N1dPpwXV3PhzYgmT4hal6Mc71BVD6LW06TgTqdn3XGubUyq5rC8OktiN_j5VnIe2K1Qfp9M0SPWJDvjwu2XNHv8AR1gSx1Nz2O0mW7QtflWcex-l9SIGgSQ25baOZWpVx6ruqqODmgAuFpcZU-kjDUr0xW7Q31dVtJs5ZWzXo9P1Pa6LSJg7XRix9B09RnpU6ZM1QJmLELr8ZqhJp9QCADLLg4BWb0iTmtNRxDYcLwFmz6qLXOq2s2DJEqbvQ39JX9IlpMN9lqJXmf1h-kt_V_09wa5tMNOpzt1OXHrV43t_kH6ux1Nnce2mcMyQvL53XaPl-oq-trmSJkDhSXVQqudkQ4xBstNI1Hlva1oJjbYpFxznmqBqAMC5K01DOqPH0kEDKlKzl2qqRBAJlSQjRfS0EEF090boqdWp9JBvERCzUgUSYgt1Qb3WPqnddpDo-At7MQtMguaDYTsNllTu1F1-cxaFQ7HkYAJaNis0qYk6Q4yd5ViwrWlltMCZF1VaKb8g3EY3WLTcVY7ta2O7z-FJ2n0wHdqiI-yy3DvMNPwheoaiWuDsgm5VWL0vqEwYspVNTbreCSeVhri0NAd2RHKNnADZxGPZLP0mDTpm2SReZWcIo-waGwT_ACs1qCASNRMkZurilkEHe3GSqy6m0tgzBOyw02UGlzrYP8rWjcaZNsk7KWDRTDouwLKquZLeIt7qtZpHtxMh3jCn1cxmrOMycwrV6Kw6QMRjCkSYkQahJIuFmpRpu0PxfeU-M6uyrcgWV4m60MuwNuPZaQcAix8lAYAIgAN98o1HOcSIaCJStwA6W3ix2WE8WawkHVc7ELP5LLpnCwDiVZ-whhtzPghS1R0-pBJWogM7rOEkYCl6Gmi46u4eLLrHOtlAaATGpvhdojq0AAGSNlKIlgrM0uNyeFLNVm9P07ERaP8AlZa1QmCN4H3WpGBLu0ndZ5dNQr3aahJnFlzq3vxAZaMXWLFksPqaSJteCsxo8AGJurRakYAAx4UosAJ4jhdhRtINcC0kyNrSUDOFiRJA2KyFBkwL3WNwULZ3ibqaCw7G4JiyCmmBMyBsus7gDmjJsFRPTJsYXPRRr9JgXIykv7RRta5kAeVqUxUEOu2y3OWMWVVlwCb-VbdTHN7XDMTykuVu-NlOqJA2XWVzp_qNsKhy2QMDgIz4YEAAqVdFsFhOTxyscp9WVndd1jYLzusAgaSfKnqi0QMkycJmCrZAmCeFmJWilIAmBPldI54rZoJOPBRCmIMCRm6AWgXN7QkBDm6o3UtxqTXNJtCHhi_SRG6qOOlwx5lVAp5wYPlQUIDXWJE4GUHNw3Dp4VHCQAcTyl7CvGhwJ3QK0yfHusik5DubKjiIM3I2VFJkQ36jygmSS3j_ALUAggT-UA1GfKy06dRGRyrKhwSwNH5CIqwzc5VDtgHPlaiA54c65spVFrQRNzKgPE9vyoDdgOb7FTQ7CCc_C0lO3vF1ECoATOynrRQTAB-lTsHIwYG60KU2gC-CqH1lpEwZQpmOJdM-_lEw0QbZKBi3GJ8hFTaJi1gqKsqGQchIyYTqMiFoOe39vugUAXjKg4kxAypQAHTOfCRYsPuqlO-LYB55WtDNPbyUxXZcYMKoD22JH4U0hXOI8eyocO4CJDkWMi-6tTSEgi2xysyG9mmNP_aeEk7aLqmIGMymC7HCLyrDPphUk7hNsSzRgTMTGU3WeJw6MYOy3KldtO5CRlzYAT6uftQYutejn2AItymIk42AJPKlVMQDmVjW86NDSMFbZ7k07LYwiGDtjayUTIk7FNMwzxYJahZ8krNajmOnckykiVSACdgtVEnVQIWdrUnS1N2Lwtxk-qRIQcXamgBADIiLlBSnZSDRSBuQR8rWhrg2AKq4UCX2VU7RBzB4WfrjyvZpEStLHDkGyOtNctMo41w_EqIMkEgFUEAOAIkKxrTiL_haTSypq6JNhKzazSF0nNuEDtMBXV0Z-yurogA4QoON1PWS6Q_myeKBLYi4901BtZNXQDRaeVdWmBDT74RILu725R0lgGwvc7LOs2xSmIgSeVuVimLZMreaFJM8ws0EGcwL2UwB4JcIuE9WHjtjB8LpEFsgiUsBa-4lZDE_-BA7TpMKppw8xZZkDap-rHhTdUQ7bIWoFLoggZVgbVgLYow6jCqVZsx_urrIE3mL-FKpmuIsd1UCN4PyixzSM8Ih4ssBZM4WtAmCVQSNQkbIEwYKzg4CSooACYlGnEx7oKUgSJOSrJvTBzcgfyr-IGmDvZXARPNvKeFcc3TUcLJqO1WmVucjBYbyTZX8hopkECy6SsGc4wnYVlbU1WUJUgxePhLWoQi2SsWqRuYTdBmTBAHsudn7AI3hMHNAEytXaA0aStQWBuJAhXcRQ9wMWAW9ljHaZkeVnF7dqGGwU8DsAAsr6C6wicoJE6XWwoGJGmVdlCxGwT0AtCzY2k-d8rjyWEMi0WUdA-5PCJgtdNhjyiY50szui4WdJtkqKJAHwqzQF5BQhXiyNFDTZAzjMoJkx7rNChsmSEHZkRHKgWLXF8BZnQ6YgALfVoDu48JQ0Bo4T0D2UCkAFB_IB4L-7TEX0r0PIrSB0uuARZ07qU4g7shs3H0ibBc62UgElsyfCJpmssW5MWukom6xaDd0bLcrJ2ktEgW5JUnorRAe6TYcnC2zXodEzSTvx5WoNpmzYcDwFsaunf6YEd1vlWf6NbXkt1_uHlUWHe2AAGxIBN1BnZHru0gg4BURp6YufUDMkFFeq2npsT9QiVrBCu40y0GXRbtF1MHp_pHTHqKYgGJy4wpJ2PUrfp7JLqY0CN1r8c9GOmHG7o0zHuuax59XpxU6nUW9t5Z4WF1o6jptDmk9zuIsENB1N72nANoBsiesddrnSSCGtvlPFCjXa6oxxmHWudk9F-pbqDSCQ3SYJ2ClWXCmiHaYkExflVdcXOa4h0jSc_2WbVYeoc99YgGBm-SsWtRo6Bh9Qu1aTsAcqRe3pfp9Yse90F4blr-UptbaVF_W1alQOc002tL4cIzgLNZ16Qov6ohrnu1Cwa7YbqajWOgNF7W_s0zpaZjytZ-lev0Dah6ek6pTdpBiQMA7kLp4j6j9P6X_ACnsbUJjvY0j8LWDR036ZUp9U009bKDWkPGx8qyWUbR1rT1bGU4LWjBzHKzb2za839Te2lVcye_MDYbLGrK3fp1drzTYXF0fu5W4r7T9OeDRpwJ1De66-OVb2sJpva2GgZtlKxrDXBbOo3JjtysVtkpj0az-4AHB3Kkn6G3pCypLdUbwP7q-g9fq_wALUMB5I7hyFrOkj_I_6pb0vT067muAc50aWmw8Beax1j4auwR2iRkgFYVmgEl0kDFijVB9SA45aNxlI3CB2kF2qSPGy0sK46mgzBN0adTGpxJviYQUcSCIJtwsJqZe6DIx5WFcx_pkbiJUrnaNSoXusSIM6YyFZCU9AS4AiYwq6HeBGlwEg5GECtkFxce0ZcFEHU1zQZM7eFqDqtWRdWxZXMh0CwaL5XOxY0UGHcicSszql9WkuhoHcMlLG4JMkO-mLSsnI7dTi43EmPdCGY46eL5UaxtaTMT48Lm6Tw7GkgSACN5V1TEgzgH2ss6CSSbGbAKjqpAbEExxZZXRYwgTIE7FaIdryXEXnftWVxopUyIAix3Cg19PTAyALqxWtlO4vdZ22ovBY0gY8cqqLiGsAjeUrcTfULGkTHvhZi1jqG5AMxiVakgF7g0AkRuoSYnEPBERjKlZtOGiSRIm1zdSdsyNDaRi1_ddIKtGjFnbo1nR2ucSWm6ILmXAss9rHS6M24hTWokH33wi1ek-WwSQud6IoHEkgiYWjwKjosGwfKJa4va1sQQk7XCF2wJF7wFcZt7aKR7B7yVvilaaFTSRNr_C7RlSudPl3hWjK17te7vKByQ4A5BTA9OjY9pNuVqAf4XVYT5WeUTWevRex0XBO5wuXKLrNT7XOF9WQubcm9r0r3jwp40q2HFwPGVn-1M4ENtN1fRs6cxTFs7ldIijaZdJkeDgqqcM0EE48HKCT3S0DB5K5fj2C0gCBCzehzGkS4GPlalGgO7AQuvwI5xixi99QWKFcYz-Fj0Tc6HiWwTmVfxDsjO_CngPrGnkWPC3KjRS6nTAKfl2YuKjXeFvdKaSBM3T8mcXp9TqaBEO4XSc2DtqCo1sZC1orEkQb5hTTFGOmxH3WvYYSq2HwB9l5-UxvjUnNLja3vuubZw3S3JmUFG9w5HkKCtN2kx-FrWKcuJjc8KM0HuOkg3nJCoNKppMXsqFe85n3spZrXE7DIkkqslvJvIPCnqqtAiTJWogtYXXsIWsQ5JIzf8AhZwM1pIMbflBNx0XbHmUCubkj6fKADPcSAFkGRMYGxTFOHlueYyqHPa2QBO6ahNdjKoDSXSPpaeVABad7qTpoWkEG0pe-0MHaSMz4RDNaS50ErQqXkD8YTcBFwSYj7KXR04E_EoHMQLSg6bF3wgIOkTGAqGa7SJA9pWUB0vyBbgorgCBi6QcyQZO2yooCQ3KoJcSOboHBANzZFUmLj7QhYDjInfyrU8M2x2teyimmWifcBWMHa-TB3VHF1iRvaEHEjSJQI12kkErNDl8i8IHokwrA7ZDpNwVoUDcRMLRSubqcf7jKWIHqRmx2hYnagDqJAytaC490xDh4TQ0mpK1jOBph07cSogl8EG_ynjbtRkSFNgppOm0BUM15Bygq0kkBakZ80xbDCQjHoA6Yg7XRAa4gGb33VaqwxstMn1w2CfsgjUdrMCbLNWekJIGcrnHUrTLjN1tL_Z51cCFXOndgEbC6hPU2vlxzMqa1yizwMyumMJOlxiQFi90FsSG5K1A5kHcgbJRMCBtCy6Tw7cAbHZbYqjRDbW8ohXSRG3KuB6bYHCUWFjEXUDggbx8IHJ4yFYsNTdNxa6oAIB1cLJ4cuEGFrWPuupmCZ9oUW0xuc4V1zBs7qdr8MNlZqCBA8KhmuJMjPlXR1SAoEgungIAWaRnKodzhsPurYC3dRTQCCJVq0rXEEC1llkHHUYFt0CxcTZAR7ygJPdiIVixx7r7qqZvaboBq1EzZRlRpAIKT0VEEzyusPIQhs2v7qDiBaFKBvCzFWa60LrEBzTtZavgUNg3AWA4sQI7T5UDW2KM4OI3VinBkThYPozmbrSlFzdWdhxAW6KUsk58oKi5PKupgsJLsyhRNytztk8yFkTH13xKCjhDcLASZtKuLgRBuVS44EgWKqO1arR8oCbNtlFiWSpWnNaSPZZGijUAbEXXXjcc7KtSIJuuvGxjFzTa8G631Taz1KZZvIWLxi7pHHwuPKZ4sKQDn8LM1pxEeyDuFTFWvMWMLU5YzYYPMHddJylZwuruiLJFht52VqlcBK5Wibok2Tw6ENvYp3QCQAloLXABJdBC6Q-HaN-FpkC8zIMeOVFc06jJsmqqKetljHutes0gGkeVjzoB9W8HCurhS66qnJAATWQuSSQCOEi4A1HOFm1SyDAPKnIK9ghLxlXXNNovKz-JoOpk-Vn8LDXOZb3UyrOSYaRtdMXXEXnKNOcIvEytVCm7Qs4mjEs8qETDobiTuq0Qgzm5UBbYXMrNALtROyyEnuytAE3nZWAh0NMFSjgNbZsgNiRZBxBnKuD-QVSnTD6jg_US4EGbBd3hdrBbpJm8ePulbiLmwDF5MWMys5jTgIqACwGUmYyqZ0iAZHCmHeuI19uFqJRDLGRNsKEXog6w3NpvstlehTa5jAJIW5Ea6VQuABzyt4mruaSCNRm0QrmGrNaQALgeDZNGrpwCyLRMOT01z6QJ1ActEJhAo6vXYTciJKWfpXrmrMMnSYs6bHwrQWw9zAfZQfU_pTDT6YamDEWuuknbFrZUqt0FkY5xK65qaw1-lc2HidTyIEWB5Xm5ZG5dZK9M06oIwckiSeVy5T9Ko-gQ9r8tGRvhT8b6EqdOe03LYwRcWW8WPJ6rpgcyQNyY-I3WFZ6dFzHtcNJI23UzsaWtFcOBeHDkbeFBUsIk_sEWTNCVGMeCXckCVLix5VcijWMDUOVy5OqtKoWE9sPIkOC2Rto0vTomoAX1JxMj3WfV6bnn1Gh0EGQ4yYn_AHWbxtYse_R6iR6rQ0vaIM2ErOfjUVodbUbUdUtVqAEQRYArp_ivU6P9QD3adIhoA1D6W_7qyo-k6OqHUqb2gFrBMycLTNr0KvWhz2Pgtc5ukngey6Ts-M7Khd1L6bKodUcQ0kDHss4la-p6NtOiG1H6qpN4F_ZZ5TAvQMdQ6okvaxkjSOFmTKa-s_T-oIfDT2NP2PK7S_tmvapdSTTADSQ43st_GejVaLqrA5sTmQcLOdGvLI9J7tQnwVlpSifTlxGmcRurxGpwmk6Bq1DB3Wqkf45_V36XUo9T1VMkAM7iQO0DMe683L66zx8EeoeyBrAYTFhsuLUiZYKZBDtTHC0rSi0BlEkmZOEjfiL6kkAk93-n-6qwWtJEA2zfBRo7Kem2BnwFKHeAac2bHF5UjCRk_UBGyZ-lI93piCYMxEKWM5QBJfaG-d0I1N50mI3Wb03C63OBhsB15RTuAexwAiMAKiNRjiBNnAQCE2ABxdk4GDuqK0m6zDe2BJkLPIaw0kDURmx2WBZrtIcCQZ8KWtSg46puIiP-Vlr1SnMTOohsX_lVqKgGpG7ZwFmumNQBY0ZscLKm_eTBM8KYCWmJJk-VEKXa2OE6SOEKZh1wLwL-6laigkAhx1ERdIi1MSWkgmTklYtab2NGiIklVMVpiXWAIHCNNjWyBiM22QPdhgqfW5E6joAddq0z9Z6z_Vh17LNVnZUcSZmD7LOdtTuHLWmDv5WjExaYAJnPKw52avSAkngLUh4uwxc5WmpTjIJEyUQ3qEPJ42Qo1YaC4DVa8Je_FiNOoXCJh0c4WPGvBBLoE34F0VelJBAhZybgqxul2bqUCoJNrBI5pOJFgYAWo3o0yW9wsCNxhVj72uw6zxOy1CxopXbFze66Sp4FVxD4mIFoC2ibSWgXBO6zQWugRq-BhX8hVvUTAIgbKyw1ppPJINvHlaQa1A1WD-PKWavjz3dKQ4jcLjeONyi1hgDH91yz9tqMYHARPys0OIb2yZ8rPg1UXDQ3mF2iVV86RETgCF0xja5rw6S_CzWpv0ji0W0zeSFnGiAQ4kYXPkDqkDNzHspPRoaRpAORldoJ1HWsSufIRY4XBEnN1J_QFVxczuwDK1QWGZJIB2CxboLDLjkTaSpvQue4xkqwODpbIEIG1SQDc7hOw0xf9wwms5FKTy1-Y8LpOWMWPRpE1GjtJ8hd5_6kU0-mZuYOFq3DQqWk8leflf01ET3TJ-Vzx0d6kgTBUos18fuurPBYHUJ3iZWUpmCHTlac_XPPNxwqsL9IgOjwm4OAInZNjUc53aIMq6kc1xBg78KrYcGDpF5uTwkvbCzX6sc3K2KRNxdQA2dc2AhZRMk90C6aFcSD9RnhSAaiJ99lQ-oHe53JwpqmZAlRRuNQn6kysue0GZzytBCSSYFs3U1UwHScrK6IJZ7T8lajKuq4icYK10HDtIJmAeFA7TEXn3QF0xZAQRANigMZGAEAa42GUDl2LD4QEHE7oHgNm6ziV2rUcmyeI4OvcWPKrRwbRgqq4vnAgIG3Ec7oRUG3CvSutcYKielJ7rIizQQN_dGXHEm8brQYtmOBsmo530yfspq-p3MGygYN7hueeEF2kCZstQMHECFQwOm0StRAqOPt8paQjhEGZPssqbVgZVtTQAFQmZxFllTSRBW5QLkXJkqahmuJzf3S3VEX_hM_YpTBbJi3hWBi2TlbTYoy32U1Njpm101jCkwQRflNbx2u45Fii4o1zhnCOdwdcizYE5V1HOEH6rI3Im4giTJWK2QktcNMKwPqLp_stM8vDVHmLYlRmJtPeTKxPW60hoDSSu8sxyTcYtfKwpgIk5CIc4FoWlRcYDReVluKtHbmPhajFO1siDlaQGdpgmUDzBA-VBSZaPygZrokZ4UUwEmRZaiK2i2P7qtOjVFhCzjNGJblMc3NsYQNBlMQNRAmEHatrLQp82U0dFs3mbJoBdeTZUCZN7IGaS47TstRTgkG5HsrUcLlSNg7PASpQPcVlkNN54QI-QRGUBKAag4xEK70Ktnb7qATqdOStNGJmISlFpgjCkSG1WB3wuhQMk5spSGAhl5VRwcP_tAzTJVgOorVvQ7Xa5WNHCptCA6oMhA7XarYKuBmkkEZKZAXS0yDlIAZBWswO02Vodj4tNkgq12UTFKRgDlUp41Y2WpcZASN5S9ggW4_ssjiYHA5T6QgBLrSq1rnGDYQpEnZQ4xfCauH_bJNk1HftO0hVYk60RbypVLJmCVA7XnCuizX4hVixQPPK6cazhtZ3NvK6bsQHAB21wpm9iT_AAudjUFgkXXOztQxKoZp7eUZdqkgLU6FBK69Jpp8IqbjlY5QJfUpxvwM2y3cCE2hcVhg2Wi-6mrpsEDddOOsm1GBBuuoUoA0SVA2ssVRzp-6lqpnK59gnnCUBpnf4W4LBwaBe_C1E7NqD5G63sZykc0MMZ8rFmVpNxWdi4AscrRigqACYmeU_JnCk2tlZxoj3Ei651YSVluAN4MFaUbiwwpWSFxGbXUaKPCACxE43UoBEE3hZCuMDkoFzixQEE4T0AN_lUcBwpARmDZa8DN1NECPlNH8hPQcHkFulsxpO44XovUeGIPgsIZgGIXK624CTpJIjAAWrYfCgaDcQ0ZEZWdFLtpxJg3gBBzakvaBbOVqFEOMapyYW2WujTAvFwclWRr_AF6tNrapN4gbrcYqzaekGc-Fplak0lpE-6vqwHVtBiM2sFFVpdQabXBx1AXvZPjLXSqeuwBthcyVpRDdDwTHwmtNVN0VRPcYm6Xsel0UeoKjg0GPpOD7KZqa9uj1Ba1rQCGmDYrU6rHbXTYX-oCdM3FrLohpMBoLoaJkmZUs0a6PTUtbXOEt0-LLGNSpP6VvqOdqmRgBZsSVneaegNA7uSsNy6xVmsLw4iHETBws_irIWNfLRTdMyTCmCn_49jaBMFs82lZsNefUf6FaC-8Wbt8qSgkh_wC4uDjM-VmtR5fU09FTTO8yf4WLNbP07HVO36BuSU1rXo9B1Ao06lNrdRfhx3We4mvRptou9T0qjZ0tlrm6gtyyrLr0KIDKR9NzjLY07SpSnZTPqNd3A_uaBEhZ8Y16HT6qNGqaLJDnD2atxr8n0n9OdSRTbTgucT3iMLrxmOb03touJe57XFziWhrsQrSVs6em6hTeXvbSrvcC1oAl3yuf5FavUc-q6WYI1PI3Vt_Lo1Ihn-MLtOlthA_lMR7H6d1Ae8afoiC08qs17_R1HMqmmN4ILTNuFtl6nS0y7bwV0kSpdb-nTTJYwl5yVMWV5DaFRtQgl0zxhYyrrdUGpsBpDwABdPB8Z_X3Sir0bm0WB1S5cAPqMbrPKbG5cf4n1zTTfUa8acmNgV5K6SsRrio1kgwW2IWZWtN6s4OVsQZUHqnuls4hXWpVaT4a6AHcHhGpTvrOAIcTBbKWLT0HksgiNX4RkHW0kEEzgo2z1dQI1Qb77KVKrQdkjAM3WWI0g9rrk6vsEsbI1wd2_SdodYpIO9V4aLkNOyuFTql5iH38LBCiXtyA4CCrFaelcYa2fcrPLtY9B1MCIxvOFkTLi4kDvG0CFkn9iGkO_wBPKOni0kExiNlGd7XZJA9rKV3njS4tp3JUU4dIsYwoOdUBaWi7v9QSoTTjAndZBptjJtwAriruGYgXiSosaKFTT9QFyAb7crFitbCXGJxgHdWDZ0tPSZd9xaEwbadNpBIERayzW8K_udOYKNs3U6RgBwmSTunrOfWGpWLX_wBhumM0geHEQCS7dXMJRbJ_aeJJWffD8jNbAALSTyApbiVek2AIFwbjwrKLhwY1pBLgrAWkulokEm8KoJcGOIMaZ2QcHeo28ETbZGoUNgT8QmfXQ7G92QDM_CwzFWAtJtMo0bU6S7EcbJ-P1M0gdqeRMjOVm7oOiIIIzeyrNsKajhYifCVm1SkS450LXHqktbWPaWkNyN12kQ1QzBjHG66CD6ZZBbabws4JlmSXz8LnYBLiIBiVFxo6aoW_U7O5C1KPQpVQ4YBnB5XXWeRiwVIgTKZKSoP6UCoCBYcLny4tyle0MpmLXyVxsyNam1mlts8m6x0aqLBocYAF4W400epqaXG8CbLpL0xeqALWnJ-yy1sB5Gm2DyioOsZzOFzorAJsYnIU4wVp9rbmS3BIyukEaz5I2HhLBF5AGPlY8DS1wjHys-oP7yA0z5UVQOBGBKgo10AQMWVgoPoM5WvAYuSLhYDBpm9h5RnMpqbhmCPe61x_a9PR6Ovofpccrtx5MVsNxqbuvRe2EXCCQZJyCvNyi6hMOgC8SVydYIbh2AqK5EkwUqqAwADtwrQTUdwW-ZUY8drlx9sqppm90XieU2NTspJE7xZZvZscwkyIkqphw8exWoWua7Nj8oys0QzUM8Ba1FKbyLE6QVQahlt4v5UwRJIndYsHFwnCa1JogybtV1CtvIuoKX_82RdMJ1cq9sucJab2PlBJxJnP3Uxa5u5Mwi4JuQbeyhjgNWTbZaTFGi2VUNTkESZsgq6oQJ52QBvtaEBbP0ophDXRklEEWk5GIQHMQEDC4kgICBvlA-kXtfyomib3iCiymmKeQfCqhMkwNuURQHTadTY-yiduYA03J91Wj6e44VjKgPaQZIRBDWwM-yBatQtjtsosmpufgm_iUWGBkx4RmqNMtiM7q_2HbMkkbRcq-irSBI3K14C4kCVQju6_9lkdJIzY-MKDpBGL8qajmu0mNUqqZ1TBiZ5Qc4boAw7RnYoHYyHfxC2KtyYJI4hAQCSbnGE1nDaowYhUtkcTF5vuqgSSB9lI1rrTZ3wqUwdY2IHCmsWC2_8AstIBcQHXUje4mTqI2thZv7acDG1lRSdI97rbPpTY4_5WK0ALYmI8LM6PirXHSRkE2XTccs1xggxKi2Ga0EiZhVkzsRjeStCWNysN7irHXAFwN1qVhUmROV0PBiBgK4zabSCJEJifkOkneYusVfyOxtze-wRv3sfUjYlRDNeSDwhfFGmTGJV1jdGYEZPKMhebgnykFAYHKdhW38HyjrJ05rZMR7-VpyG4daSp1oM3OTKmLJohsB15laQ1oA2VkDNAiwXQIQQ47LNU4-lFdOLqXsoR3LKFeNIN0OkxMwfuiCbAX3ypo6CXZTQ7TpF1R1iZwttmDyMfKlSg0lwJ84UjJmmSQumijR7Ep6oXdeISI6d4UqwuuSCBbhTTpaSfdWMp6YaJEnlXGgOSCFPCqM244WkWtpMC60GAxdXAdOpswYTANMjCobRYXSggdyyKMOmVYKteStJTNcd7IU-kXupNZcbbWW9gAub4GyyR2sQeOEXE3GTazeEWA4lvsop2SpiVzxI8rRCbX2UUpEyLBZCyQ7AKv0VpyfstMqYEpOksMDZdON6THHYlJTCOJ-FNUwgi5hZvo4kXuoOYJ3sloaSXWSH-KMcQJ3xddZGLBLrxK1IkIRe95slVwAniFnM7UCZJIUvYBMiYWbFhdUTCzjR5BAByd10nUZpognc7FdEB0AYQBtiEDviLIEucEhAu91zygTHlZBjyukBIjeVpBB0gxYrH5KV1QuNzCl1cTLiDIusqpODuqAb-yAyunjLnOBWOTUTObXXNXFsGQjQHVCJIQwTG6KIEXUAN9rKaFMWtdWhALnlZCGxQM24srAY7crQU_lQHJF7pQ3ypg_kjW6GuemFT05jvHIXqeJiPSlohpLjMuhYaZmtLXajOSLrnRRhGq8QcQcq7DReNAIk54wkEHH0y65JWw9MEwBqiVYy39O0GBc3m66Qej0biXODiNQ8K9JXoBh1gj9y0y5k0TLjpkwjYE639oJaMFSIFUDTe7nGYVOlOjqFhsbG0cLOnSjqwa8v1RAgtViPR6Ku2sWjULCziFr1dexSEuZLiSLRFl0jL0OlYKcl4BBMjwFRuZW1Mu7uJsRwtIvTdJFtRGw4RMXa4ai0O1ACABusmUalXUGtHZ52-6lpWVzgYBYDfPCxhqNajJDjJM3G2MLFjWk9Fsh1wQJ7f4WcNdWa5zi6S4acHCvrTx-vax73EANIxuuP1Ywio9ouSxg3HPKlaiXUVhWaJbqixdgyuV1slElrmy9xBsRGAkHpdK40ie0yzF5BWsFqLXUA6r6YDajgGjlcrLFjb0fX1WF7GtcWyXEBa_L4j1el66l1ES7T2wIzJV2X1nlGr_wDaKUU2lx7bkYK7z_0-I-t_Qy4dGHhzWVKjI9Mi88rQqGt9FoLA2rTMnUN9ws23jU7a-mh_qlrQ5og6ibj2WleiK1NgqteHmWgm9oWfGcH_ABFGowRpgxBzCk7MbehbDWPe0ktJAEwFcR9F0TSXHtdrc28HC3O2W6i6tSqCCXNabN3VxK39P-pNazRVJHk7LpGTVfSrkPDQdhwpnas9eixgl5I8DlZxd18r_Un6dW6-jUdQqlrjgRZZ5TV3H-E_rP6VU6Xqa4rgioHGRz7LxWdu0vTw6VP0apZ9cwBe0-FmNxKs4ueA0nVKq6APbIZPJwqe-LMc2bNt5wlJqjiZkmADBCrcM0t0gj6m2Q34D2n6gWuIMkYRoggnSXSZmSs2alW0gtJM3McBO2dLqcwuzpIgSq6EpPLagMDTgBMFLuPdY4HlPADLiIiJv4WU8FoIqEY3Vg19NDIJBINiYWMaawTDoMg7LA4m2Ymxg7KfUOIdE3YLRlV19PTAeSLEc8LLM9axTNotFwVhraq1gdk6uJR0lNpaAO42sstARJDo8WwrcHaNIAiFkO1hsBiMK6Rem3WILoi9gpV7Wp0NRBsfZZVv6dugd5uOQt-jbQaC0ux4Kl6Duffi2AstzoXuDARIAi9pUvTWsPU1WtaQe4gTC5JrIILgT9XPCs9c73dcwjSIMRNgtUBzSSBLhupOk8XbYBocZ8rXvqqsESBnkKDi48lwPwtQEGD2zIGyuCwhrR3ONo-VAuos31AXsEvigASJEDlZjeqXzh2EuyrFQ6ANJk4NlDTnSxgt8la0RJmQO0ncLnfUvjnRBaXEO8LTmmXd2dcZBU3BroEBurnYLrxur8WZIzMHldkWfUhwgWHBTROXOBc6wO6fBGodJGoyQN1ztCNMHVndYa1em-BMSfK3EamPLSRj2W2a00qj5tnA8pGVnUg--PC1ymqhVYCBAEHlcuTprM4aTDZ_88LlkWeupm86pMbpG2ilLiQbTay1O3P0NUHEAY8o2LzrIEfVdFSq2JIMj2WbEUpkFsz7gbqxXaiL38HKonUJmX4WKhC4E2IIWP7CGzgJ-y1J-0xWgYk4MXClWTFmUzIk3ypIqoFxaRK1grcTaFL4jgCOQshicy42wkDNMDUJPwtToUpkmbfTutGPQ6aprIieLrvw7c7FalEkySZ-yWaxGdzCCDfK8_KXXaWCJLTAFlElHVn_AFYlGzsfDSN09gLHFzbjdWWM3w1m3CtiSOaQSd5WL00UuEETELM97YzD6pbYz45W_GtTBJcYEHk7KVGj9oi3uunbNO0wDFwVPvaHBsduJutq43vAP9kROocR9UrNtJ2Vpk7AHKzmraabm-26Q_0wkxJzsrFpnyNvc8pWVM3GTlUTBJmTE54WcADA12_v5Rqg7EAjnKvxPrhYSbnCyuiwB0jBAhWdJez6XA5ibKhwLWHwrA7GktuVrpBjttceFmjp0z_q4QFvcJmEDRIOLKBx2RFxummiDcgCAcqhje4MQpqaZlsmZzKaGkAATY3BVWEMT73UDC-DdAQDeNhuqKsBJBmABhRNOIdeLqnZrzARDB2jJWp2uIHuJGVmk6AlojCKpTMkkGESqtiQYMIijYcYmy14Ocb8kIGDgWQ4H3VCnULDIEKEBo0gZxcSkHfUcIOnwgBdgwgZrm5uYKBhIvbKfAxdpBuZJW52KMOpuqw2TWdwNRt_pTpqqgTEYVlZsc6IIAIndXWYnLrHJnCy2cOGsyAtTpL4D3EkH-FLVzTiYmcrTnZid5IuQsr65rQNQGVWx0wL2d-Fko-JtytsSaLu697H8LG62LSCDaVqRLTkAtt-VWJexba0JjfqgsDaVf8AGEqjiQQcKETLoz9lzjdilMlpnbC6Ri58VpuuYldIzVLkiDbdbjGrU2yVqRFANRI3TIG0uZBvCl4tSkcLzlc7Mb3R4E_8LKnBI8oxZ9MbSYhVJHMdMgzBUmpenGWtuUQWTF1rXTYYy0-fdVzAkwLXUCucZEXBTQzXE2i3KaGBMwRblbgb9szut4GNxlSrrhdRegjVwIQ0sxP9lPU1xIc2I-SsoV3aJyYQKQZsLeeVLAWm-BZWAwSZwVv4vh9NsqLpYOpSmiLGdzsoGAgXstpQDjqsrCKscC2JhaQ20EfKJS6bSs00zSIPdBSWNYnLgb__AGs7VFx7jcYU1kwMR-VZRVp0zNl3gsx4O5VBcZxKoGiLSgdgsEDFpt4UBBIiBKbgplUMLC9yiemk2KJgggZvOfCnaFeQ2TKoQ5HCjbhAF7jhUK62fhTQzXED_dNAcfCATOygGr8rNg4e61Og7Txb5WkOYM5hCjeIC1GRaAYm6oOkHCgUNBOVfRxaQbQQpYCXEnhYswMGh-8Ing5XeFUZcyRdbZptAMkWUTxM-yl8VzYvdSVXbRIKlQIuud9a0YBzsrqAQW2krsOLhzKzaOAzGOVRwucwqOJGM-UCxbN1nkOiMG26zJvhHSRgQrN-rjru4V0wJ2XMwJkKqW1-FjQ4iPbympRkAi-VqK4xtZdPyZwPqNlmtQjs_wArnVKCSfCNDmQb8IF0wbhBx5GdwgAGoKDi0yYGd0oTSDF77rIQgWVwOxpEwkAi0EknhaCubrnwpo4NnGQqO0yg_kq_q6vUU2tJ9JogFp8rvL8eGddMv0VnMI2-rlOmtY6pY8kwWtIuRdc7li-lIIa3TB4UTHQ4gOcZBOAopajWkzdaTDNrgPFyTHwrEel094LTf-V0iN_TEmS-G_C2mvR6d-poFjxIWzVnUC-iGx3TPCWWJvbIZYYbcEwL_dZWGLjYQBGxRojCaZMQCfCYjtILXEm-0hGXofp1W9MOcR4K3Lg-jpWLY75wSbLY2MEuOoCMINlLDcCBFt1tmtAa7UwHtcBtv4Rz70wcaYJnQZtGyzXWOZWIY6S4NOeJUUzWisCcacq39DqlLSADkXXKzGQfTLiSxoMZ2WKsS6l5BAf3AWhS7I1Hk161Osx7BAc0TK5txjqsa6i5mHGCTlZvhGB0VH9staTETF1jW9czte0Ew33SRrGym4k0yZjVMb-yuo9XpaYrU2uJ0MbHbOLqWCNcNpdS4a3MmRbgLN4rmtHRai1hYQx2YIyn4rj1v0zqnV64a4u1QQSNwusuM2fp7f6J-oVek6t7tZLmWDXXsQkttY5PXpPd1DmUzLHxdzzLT4_5WrNPXrtpEdSx1LU6m1o7KhsVZ2laequyo4S0Gxi0BTlLVfPfqDndA99bp6zniO1pM_MLltg1foX9ZOr_AOVWDS-YE7qznWbH-h_o36lS6qkHRBsCGm5Xpl2Odj6JrqVSWs1eXbhbkRkfR1McRJ0G_kqXpGVvUV6bml7iaRkqDW_9QZUaA6z7QSqrnMp1GscRpdNm8qj_ADj-t_0EdRUq9R6JqPH7gIXn5cenWV_k_W9K3p6waGjtMAf3Xlx2jy67tDXHSAZgQLqrWeiS8lokOJwUSXGmlSk3tBwd1fWp2o-xlx35Ub-B6hgyLg5BwjG9jZxOr6s4UdQfZpcLexmVaCy8xuMIzhntBIJiMHwiphsETZs2JRKJENiMn6pUacwAknLcX3QWo07ybQLSqNtIhwDZ0uiyxRaozRStOre6xZfGuiUW4FhPOFjMTGoO7QIhoMwcKtzw_Tva0xb4Cwm942UyNABmCLbrNaUMaw76gBaEVN7j6jrEfKzjrMo_UBJHgJhejhuoQbOmxKgowBroDrAXPKDRTaAIEkZxupyrTVQEAOd2xNgoNjGgNJBBJ2Wti400HQ0h37t-EtQxYAQSbFYVF7iQbXJUyo86sdRs4RzCyENQglnI-6okxx1fTA45WlXYXPMDiLlc76lWpAa9JJnFwtwHW5u3bKoOAMgG9igalOkmSQLq-0aKdzF8TKgWo4MNrXUo4EahewysoNN_qEibZVyt8elwzRJIsmN5oftIJ7dpylrPdRc4sxscqer_AK5zpa5xJITUxNwBqWBxKjNa6Zs0gydwuk6RupM1sOxGy9EBeLwbBSs2laWtbAM_lTO2mWs0mTNoWOQkNXx4XJWhrgIG5stTYjTSDi2SusGug6CWyYBseFWW1sCTvzytfAj9LjiByljTNXYGmZjyuHKYsZHS13aTe_usf06NDAGtEx5W-LP-OY_v75iVGoaSGgmCYKKlU7QJkSYspUsNSIkScbkIp9Otp8qzoRqCBpOeFzv9pUwNIk2HhZSSiGNkm_xut1o_qQ76ZWE1opuLnWONytaq30bHlXUdh0Z3iVU3elW8xcqXV8NAJkuj4Uk6TYGqfp-6iq027XvmE39K2dEdNQmSJ5Xb-O_HHk9CQ5kET7rvjMjK_wCr32XHlO2ygQIg5uufLx0mBY4ysTxnRLTM2mNlfIs2iJi1ipiDMC11dagtIH-4UvZri2Yss52l8BomQQFr-kMJEQISodlQtBFs7rpKuKtkmRceFU6GLyOd0L-lSAPfdVlN7gQcyudEwySbWIkoOsCLT7lStGEtA_upARUyQJ91rUVMEZzKIWowFnDp5VAAGnNuJysXpvCgEEEQTwFphxBDrzfhSqYQAe4wb3V8RRhBM5KoqATGLBQOGWuII2lUA9hFlPRxAItc7qhZiBkIHB1AGIJUDFhFplAIvmGlBSm7U2Ywp6yoYBBOFZDALhIiCIVjRWmN8qCkAXP2QMzt1GSU1lQiCCNtkgZs3JyVqrppsLLMQSSQSCVqN-pOBmb6kALb8e6jJgZI2TEWbdpySrBRuYi26vnYBBBkmxTQQ4gXvGyBfUDgdnKUcb7yfCsBIsL3QECMm6BXDVzCDrseJJM8IKNaGgFpn3QPrCoq2IBGN1phxZIlx2wFV0W2CYhHDURfCjRrahJgRsrCuJiMJRzJng5WbLSqAyAD9gtse0pY0m9hPKfWsKe10BZUWu1C90AJht_stYmOL2kRNzwsYpqY0mR8yt6mOc7V4UMNScXGLrUupOlyQ1tyrWUKjgQCMeVhYWznEnKmNaYy2JJjhbjCrHDSCJnytJ6tYXmD4W9xzsWpPl4n-FuaRebgytChALR_ugTRaxWc3o0Hsja652fpfycCeLKGn2dM_dX1ueFEghI53ui5uPdStyQW9tzdWFM1wqETY8KsZ9c47EX5lDNIZi5gEws1uT6dkNndaSzvTDuN1qMmcCBe0YW74yIsPKwp2O0kzEqy6BIJixCt8UHBpzYeFkxINLZt91m1AJItCDibRKlABAlZ0MDqvOFvQwM-3KAkeYQCL2uUgLSMGx9lQXdt5lIOpuMLcV18_wB039GGDtVhlN1L0UVNJiQo1pg7yEAc6Gki_iFnGQZJcLWSei7m2XVNO10ALc8U77gRK0CxxkAzHKCoIagoLrXrLvT3WbFGS0SdyoONTuz-FSKNda5U1XDc3z91Z0y52LZKXsJssWtF1AWOFrdBeSBcW2WRzDe9gVQcm-FRzjISCZaYysjmi-JVFmW2V1KYEC2EZHUqBcGyaDN1dDNFluFGJsrmqBaBAws2IamA0LmldC1NQwFsrXGh2uIN911jNEtFsqhLTwVmxQ0yeVL-lA2WLDClxBHhTOwxOq-V1ngFtzf2XP6OAnddJdMEAbEqgR5QdMhADYWwudn6aEOQAzeLLWJpXsIKwoX-FL6FmBdSwFuJTAxicKwkECQDOLIB4VCu_CxZFhMYwjRpk2ugDYJxCDnQBlEBgsb2KKAdNvKAGR5ClmjgRIECEzBQC_hWIV4BEj7q0iRGLrGK4dtloKZBwg_k9Q6Y1qb2V9RfTgBp2Oy9HT8-dsvWdCOkbquXF1xOCs8mnlOBY4m2kn6Ss9LKJdLGkiB_qCq6hLmkAWHnCmKd5nTBA2lSIXTDmk920BbiPY6NwpMGoCFrilepSOrUA0EOFl1Za6NMUWAuwbLpILGoKdIG-kA_VeVMTO0C2ACQ2DcDlT8Y0UAaWtALZvnCzmLAc0Zl2UUS4tLnWB4N7KamK9NU1Oc6DqH5VJHq0OpLmNcQI4Gy1GXudHWqOdoJbwuiVvb3RH1ZAWlaYa4y5kujcoyFQl7CIENFgFmr_iNJxAaCCJyAZss3rtWnWG02lriIwJwqlOKmppgBrQIBJlDCguqPgEfTcqZqo_qB9I-sAD-3T_dc86ajwHDU5zGttNzC5NeI9dSNNpgExeQbBc74evJeRVqsMk6rAx_C5rGtrJpl8gEGBJufda8dFKBNdxJdpOIm6kZ17FJr6VICpMTcRsq0z1Xy8vg2NimtSq0ao1CA5wEw3n_hB6FHqHPqgUxTpAtyM_yl6ZfQ_oXVPp1KrqrWkEAucMutsnH1np9H-ktbVY4PpREO0OPcusZax1LKXVtf3vqURAacCeVNwYKv6n1dRj2PJaC76mCZWbbB4_V9aOkp1GSXkknyud7g8zpuo_znEDTAkzaFznQ-2_pv9b0ObTY8iIuNzC9HCs19pR_X3UupFPUBQDdU3kH-67TljFe3-nfq7eqonVgixHC1KM_6m_0qQLWaG3juyqPPHVuDYcbkXuiY29P-oOLR6pLxEyDdVLG8vp1ukLSzWHDBMmPKze1j_Lv61_oymx7anSUahp1JAtgrjz4_p2nJ_nn6h-g1ek1tq6mxtuvNZjWvEeCyQy2k5KmtRRlcwLhrSb2VbkP6s3mxMNHKFvw_pxLoMHzuiYUCXA6pvEnZHUvqyadoGxjKgp9TSCRBN1UoOJEhvaBsVCEqN1OaTYC8p5RxqFwaQCYMqqdrosG2nfhYvovSB1DukcSpN-DVTbNPUQebnCooHB7ZBKzW5BBLnQIiQsLbFQ0g6jEeFfhPD05YWm5G8rmWa3Ma0t1AkjYN29llVWk6DP5RSPa4Aj6Si7hWnUGibys1e6u3EbA5wo2qNLoMXyQk7XGim0F4yWjF0qtTXdpAWRqpjSB_phRqNDGyAIiPKLY6q1pBAHvwjCNWWsNiOCEXHnVYZJ3JwVLBNlSCMZvOyoqGACbTMSpfDNGmNR075-VILai6SWmSIVqF9IF1hc7hTtZNVbAEEq9rh2MlpuQI3KvaYrTnMGOUCPI7hJ-0qYgjsAkRZSmb4o3SBpkt8q-xuTPVKdQFuxHlI2DjrtFt4CYziekNdOFIoP4-kHMpjXSRcSY_IUvHWLGigTqgCFtzbqNY05BsTYyu-lPWdpkm_CrOIsJxYHwlbc5thwTBhYviJFpBMXJN7rji4oGNgtMmbyrBqptgkZ8ldJ0jQHXtHsqyqwmBtykq4q1weTYjg8qqn1TNVIuH7cg7LPOb2MTDqqO5HhcsdJ4vTYYBcRLtiFVTquIN8SgYEF0yCUJ2Srpc1oJMg2hSqVgkRcgJ2K-r2aRf2VZ0HPcADFzknZY5RUnvDiJOozhcxzaZbEEkz9ldVQdsSRY5CvvYvTOkyc-TlT0VFQls_hWehnAkNT2phTULRa11LaqrSYAMTMqys2DMkyVKK0ze5gJDtr6Zrg7tj2K6cOqljczBEGfBsvVcc9Te_UbyXDZcrGimHNv9uFi-NS9A0hhFr-FiJ9EmJi07K3uNSd9GFrbwsRKB-kGcpsajmHTKhYGubECTuFWQHaQM2-EXAJ0vtk_ZZiYu0F15sMrU6Kq1htBsTldYxadogWzOEFnCRJsVr4JSJFliiZgkCCL7LILzpbDRdStaDJJPgIRze2x2-ynpVGu1wJg-QtVkvqAOiJOymgAO43_Kua1rohxm1olZxNH_AEwZVv7QxeBIIicIuGB0iBIlWIs2oAL3lWCgJIERK1IOqP0WIsoEP02JUCwRH7kDkXBuoCKk4ON1Q7ZcAMeyAwIMZHKgcOsbWPKoOW8wgDGlrvygrAPuihAtYudhZrNUbUbebQqYo18tnAVRzjF5RqEL4Jz7KxRLoaRsoObBPlWVinbGrz7qUOO0i-8mOEkoZ1TtkZnB2SjgbT-BhIC5xJFwFvQrm6fPlQBhg3OUFSZ8FACdIvEptCkwYiUBa7j8oCyX2tCs7FGthw-6Hhw4Psfha-s4oG6e0j5hamLjj4hExPVpbfPhSetHEFsTZaS-OmL4BFlzpCseGmfwngo0tAJMj5V1nykLhJMeQnxoBU7gT-Fn6UTe-BwuniQTTOmRMKW9K5srHqmD9FvOVQwM8WNlUM1obgwrGKLnZut1Ei6QN_ZY10jgZ4HhNDwCAd1Uv6VaDnPK3GFQQ0QPda9RWm-TbPldPWGlsafK0gufAESsbh0LHHfGyahnQ833VXB0Bo5hTDCm8mfhZWXAMuJOFmrkIS6OQo0LXHT_ALqlgujVP7lozrtwExIP3RLxF1zGbYWas8wWWA42V0UMab48LUYM2IBI-60zQNzYZsoDdpvhJ0uAXSYAutaYJ2lRopvvKzWaBYYmZUR29oSzoJi5ysfQ1ieIyFYCDPgLQbMwY8FANZAupgBcS6AboOBk-y0Dk2GFdxdcDpPCyadhAud10SlIE25WavwJvYQpEc0m6t6WmpiCkPYtOy6IemCRGy3BfUGAZWgraszKA-oTlZFGVQ6wViYsH4hatJCveCDItKyrgLyE0MEgoHgkKztnHFsglFiRcWzHKzVBwkXUnQU7IGaZ9lZQbTPOU0EkK6EBBJCyBN4_CCjbQriYcm1lowdpRXTI8omDFkMEOWpSmBkLcrFF_d7pUgACVyxsdey0mGa6B_urxiU31EWXaMU-m0TBUIUD3UaD6b3lKFD_APwrFWC5gIm8rGlLMLpOUTCze6zVxx229ki0wEYWpe2XabLQ7GyzuAFw2Cflo5lzKkaCADla_JMD90C3usVXE7BShWiY_un-gjfZAZvCHZiYOUCkKwKRq-VmrCOluIPhRpzTdAxaJkZQIYgoOZBEIA4iYx7qUANMZCBgYGJhUEPlAHOsYQL6dgZEoATGcoHDSRNkH8rOk6ihUouq1x6dSQ4wcr0cc-vzpUf1XqqnXdMBToCk9n7tIu3krVmt18j1lAs6jRTOoyGlxvdcTxNvaLi5tKhougtbkxkK6v5QrtLHNE5OBsp_rOqtPpENEl052WpV16nTXYAwbzcbrpFbWVCAIMbkDdac69OiGVKTYs7K6xNO9wa3SQQ3cLS6RmmbnuP0kLJpNUkk38hZv6aiTwXTeCcArONEqO0MktOkn7KYK0qsUwWiSrKmtvSVQHNDm9szErUupY93pq-nBExY8FdEe301QOpgg3mCBmFsaSWFvb3N4JRnHFw0ZvwBZZq-MbupPqNDgQTM6RCmqs2oHhrwBMYTUrSHGmABcCD5RVACKrodkXVgn1Tg-mQW6SL3XLMN7eTSZJOumWhxk-yxjTN-uaDR9Nv0tFgM3WeTUfNg3Di1zSywXnrUjVSc3qKTp7RON0jTR-n63VXPa3tG4GUjD1fUFUVA4hpIEg7q2dKiWm-p7TJs0Ln9abejoBx0kkaxctv8LeDY_pCxrf2hgkDGknZKPR6KuOnpMBIbWBJc7gDAsk6YyPpf0fqn1ofPplxiX_u8SktPHoepYVHaXFwJLtUXBXTlozOqf4g06ga5rWPgkmSZ3HhYy2aPL_XukbQY-uCANUNc0SSZvHspZjc8eDra4Ey-oDcPIg_K5Ur0_wBIqmjVbpfpJMmTcrpwYsfe9LUf1XQhzarS9okRydl3Zsej0HVVKNVrJiPqN49lrj6zj1K1Zlai6iQSNWqeAt3wjA15bUMXM4PCkqvQbVDKepwub2yVpj6v0_Vkgkgguz4QjWyoK1Asu4Rq8kpmtePiv6q_Q-ne5zvqdGogLhy4rK_yP-oOi_wXWQxktJ2NlxsdY8lxayWmXS76TssWNymYC17yC0b22UT60ABjJN9V8qusSMkagCRNvCNC-4aAEAadILouiXxQkEiDFrhTUlK2C0km4_8AIRoSLg_SCqHp07El02hYvdFSSBBAk7gKT1F2nU2T2mdlpVxIbu0nE4WK1pGmCDIEH7rCNZqkjREOO4FknbUpmAl0zJNrrNi63Ue2nFhOywapTqDUARqF8rOtQ1gABJm0kKtyp6QHGxtwE2KpTBgcFZVoaNIJaAJhBooUjbxsnrTUxuh0g2AmeVmjVSALhcXwFGpWlsWIgxyq1U3HvJm0bBRhDqX6aZ09reQjcsee8MqTaDGVmXazUGmHXE3m-y1WWrVAsb58LDXgUzYkmQrGVWghkmb4Wm5BF3jOIQzvDloEEjKNdr2AzNsKs3oG1AHtEZUZDQWOBNx5ShgZBkiVjW8MIOBc_cLUMMHZyDvbKtaPwfpCBHHu58rnekSd3C94wtzxS02anuJyqignUDExuq5t1N4Ii3mV1RY0gWk4B5KqaRggmQnq-rtZ2y2I_un9DJVMSDIJFo3WLB1ESbgjysxrW6mJbfYZ5W2dK6RJacLF6FWVjbeQtSi2otMGQAcrpBYOLqcES7c-Fm_oYXNDCbEkm5XFqCKwBN8EX4RtKo5xIMC8oaFwRMD4QDUbd2N8Ss1TMNs5WgzQDBiAjGEe6w7fmVK1HMIjeVzsBMkxPuFJBYu04G6vaqiHRMeBKlDMhh_dHkJofUdMZutBXgufJ-ngLIaC0AHHJWRRpkA3InZVFrOsbDmVdwaKLgZ3vg7rcpW4VC-5HF8L1RysO4aiTIB4SiRBmOcrjVhH_SCuYUPuU7dItMzsQhY4iHjcLP4jnNyQTHCm_D0g3kRCqYLm3HteEUQABaQeVIqjR3ibDkLf46xa0NBuBJGVtg7KcguMAzvlJ6im0D4K16RBwcTDsrNVwbByZWQr7kzeFPoWm4NODJ2UutOn6jhrt0kSnY4gXJ8FUBztME-whTEMLH4WgC2d5UHAxjCKLYJgnP4T1dPG04RD03dlr-6qLNeIuFuVDw0wYzzslmmFcbG0FZv6UBAH_Cg6cj7KZoQu0ujKos2ppER_ugM6ggZrZzPsgo0RYFB1t8ormECdyiX0zvpgzys30cR3RAHC0KCw8lEpiQ8EXCGJmbi8flFgh4JgmSgIBn2QO0yBvKMnBHEAKhXkEi8hRcNTcHDN1YlEmTbndNDGMAz7KaAANQH8oGM6rG3-laC-pG5vmU0ENJuLhA2kaeUTe8Fm5GUU-RMflC9mY7Va8q7RW5zJvstpp3QIF_8AdaqS6m4EttA91hpMEOEj7poLZ3khL0CTqIAIss6htBvv7JGd7J6k_txZLWwbBGLoK_V4GZXT0c2JuSFEMHE4M-FjcqhHdcWWhzXDPOEDl1r2ViZrniRIuFqseE_8jdYbjqZAi191Kp2ZAhbYvqzDfjwtRg8Fy3BemyAJi3C1HOtAANgrqAJECFkOHRYlA7bixm-CtyKoQBYWWsZI5mkqY1pKjLEiFz5EqQEAascLDoLnW8eFdX7ogyA6YV99PmGht5twmlcbXEYUqEa_EYBlSCoM4K7SMVVrpF1pilc4h0WAhZvTUMTLRuoukDyb4Kppp7d0V2oDwolAkgWFllkoB1cxwqFdLjOOVjA0AyRadkwE7ArQMkCIvyg51mkT5UCB4dfcJ6CwmR5WhTVcxZZoUmZt8qShm-8Bb3VEu8H3QTLZvGVnUFo0-FVp2k8WOFqIrYQBndb0V1AAFWIZzscLopmiOFQrvqWaGpyCYCsFxDW-VR1ohShgbLI4gfKodo-61Og3zZBM3J91L2BFr2QAKYCBpE4UAc8m2UCk6hCAiBulCzJmboKNcDaPla0PaYm6oYSRwgUGCboHa6coOAh26ILPqW4ypZasxPQwsyb2tEALWamjF4CsmMmkgiMhaUwJkIGwEAcAR5QTPlcqsEnFys40Qi6iOjGFZRwytFck91kZAAK6b1oU914yuf1Y4WRXA3sroDm3EArI43dByl6HPmJCmhcG6oLhN0HQHCTkYV6BIBjwg4GxATQNFzsopYBKy04NAMygDnmbXQJINx-VBzQATOU7BIDrk2CoAOnyECklvygLHCJmEAa8akBAi5QcQHBA0FE1_KL9S6VvSV30abTUqU41OOYXpuPzpO2WnWqayHOdVa4aTT2ANlqX5fHV4_Vs9Cs5gLTBuVzs7SMgJcRuBgjELnZiYo5rYlroHCiIuhpkf5dSc5QMxtjBLrm-6o9bpWhlPXqIE2BN1249xW3XawsqxWrp3F0tkiAtyo2Oh0B0i2ZXTTU2uLTvAuFAgLWD_tNh4KzfXRmktMuuAYBUI6rXbpDpFrFvKjRejqnuG52WNZbukaXBrXWGxySOVqL69zoGhxbF_ddoy9bpHlgMnS6ZWkbWV5AySTaBdXTFTW9V12-D4WbcKwOqxX0l3bgXWJ2RdsAsgSCJAJWsvw9jV05JLTkg5CvdMbCA1r3xpAgwcof0X_DeqxxMGbkk3XPkrD1bB0bGlwvvJuAuax87-r1Zp27tX0wcDyscq1Hg1SaYhxLWO7heTK4310jT0jx6QIOouMTwmq9j9Pe2k0g_UDAE4WmDVKho6hkuOTdZtWH6cmsHS2IvLliTWnq9AxtOABqdZxLThbHr1-o0Bgrsa6RA8nyt2sO_TqTRVio4OdEhgFwue_B7XSUQHMFfvLCCwRkcwunGEe4zT_h31S0BxBDQRZ3uqPC6mtWa1jXntA7dP7jPhY7lBdUY3qm9M2oHP06mFwNtzC1cvpOni0GlvXu9RpLYtTNt91xs7yNr9FUNOr36Ws1dzQLgFamRX1X6T1f-GfqcNNNxJ0E3AXojnY97oP1Nj2ve8S6x0kSrKy9RvWivUDT2OAggLUYTpsdUdLm2mQ4G61n1Wh4DA4ulzjcBGcaKNTTTaCYOSBdTTx6XTUw6iJcLjIWoTt4H9UdM93S1KgOmGm53XHk14_xb9WYfVqyJIMBxOy8311j57q6op1CC2RNiOVNxuBQJNRxMNBInys7q-1aoT6xIgePCrcqjSHMzBmxBwjYPcC6-cSEBpjXNPSJzKzWaPpcunuxyjMmC5rqRHi07Kyt6oAXTqMxyqpmgjsgXvAWfEWiQIJByQeFkWZpsSJPEqqd4JgzqG7eUXf0NIBwmJIsCVzpWihTOt4g2wZlYh40BmYsfIhWulXbAeBAPlYrM6U9JzbgxaIWMb6dRcCRMWAsQlXj6cyHACzdzKjocFrnQLcklC9Lt73A6YBFoU0bKALyXcWsrGmg08AXIuApYL0qZBJgSDIWRoa7S06iC4BagRxkGBYXlSrIw9XJmLeQoZjAwYBcXGLrP9xDBkfUC08yrBUw4ceVLi0tMiZwNp3SIr6jQAbkYF1u9LLhqbtTbWus62uZc3AI2VNBk6hvCrNMGmCRafwssmkgB0mcLNHMJLiYk-ykjSpOi52tZb8dAe4FwN4hSpVG3wB83Wr4qVc6S3mbwFzQj6jWtF4vdb3pSCoLX3upKzqjSdX-ofj3WkxrpjsIDpNpC7TxhrJgAgAiJlEwWgv3zvCsIoWEANIjcK1WWq_b6ZNysehaABJ8XUk7G9o1MDt8kKskIk48JYsOILoGSMLCqFxpnuueDurNHMqEjMOha_sdVYXMafpgSpyis2o6jcW_KwsCoTqBAHE7hRb4UOkGbxZGpdc0hzgR8LCqaw0gCCt6garZgIzOwHcZkwN1K0FmkyZC5qek6Kjv3TeyngbWGkmTc2urtQ7H3ufws3tV2OkRtsoGaQGjP3V0LpgTNyFdFBVB3g8LIdtySBm0SrA7JkTccLYvTdDp-kqs1vpOMAyY8r0Suamok2MjghbEq4IcdM3yuVi6AP0tBlc8wgOEnjwFmugtadMGx5TFUMg23U1NGf9RHyozpS8DbtynSQHuwVd_bcETYrKtFIF4gDBwukvTnVWi04O_haZ1QPNOzgHBD1RrgBZseVpPEnd7rgEz9SzVI6RIiJOVKI6e4jYHlYaEgNg_hA72y0WgK6mO-mYuodlkybR5V3QxmbmLJiHIuCFQHZCgAjUI-UU2oE_lEUpgidvCocHVH_gQWaZG0cLfHsAw45hX6FeYzMcLnZ2En_UYm48IGD5bKgZtoi5KB2jgyqmKtcGmHZRp0tkuA-6I7TObg7KASNUAkQpveCgda8uHKUcRcO1WVgeCQFQxeQ0zsoFJAObwqFaCBNj53QUBgc-CgZjrmb8ICXwAifSBxMAZJRVWmLTCM1wMggSeZUo4EQYtwgYWAtcqhx7RGVqCc98E2Ugq2G2CrHKuGTuLYU1kfpaSbFNbl0wu3A91WjMM1YA2uUFQ6WmRhdIzewfNgMJV8cW6W82wuala44P8A9LUHG7j_AHTkOjRPblQ9NJERbyFn65-VKpDpiDO5VbcGntMqrFWmC29xyMrpAS4i5EIJuc4uKyKMeSDGRnygMgXAknYKSgnGSRwVQxeNJH8BaqYUEDe6eqBk4zwsBtXOVuJV6cOFgtxzXYLC8LSW4s0R_uq5qtluUQ7rgRaUE76s_ZBVpIgzK1A7DJkmy1EpnPAuDJmIVVJ7hJWeQkZ3-65Os7KLW2KuHbm_Vm_MKB2uMAxNrKBNRd7wlANTSQJxsk6F2OsAAukZpg4Ndb7Leudhp1EE2UvamYebqToBwgj3WrQZkx-VnWvSuaR5RDtBI8LKEPb4QIQBkKaCHgXj7qaASZsBCWgtdcTdIGLZFpC0JuOmxMovotMNCDpc6YMKWNTj-3U3wYJlC8f0o0guPI2VSwXfnhX4y5zg2-Rwsqk18zefCRFmuxBWoYtIi4n2XRmzBZHNuFYsUY0v910iqeCqEiHeCs4Ga7MSgoXfK0GZPClDXL1kOYiZWoA2oQR4ympigOoYVUmkkk7oA8GZP4QCSdrLNoXXtjyoBUcRBBug5r5GJ8IOcY4QcCDtAQM0fIQVABm11sNP_KBbgklAWgcoGkgqAtPdddJWTNiStbvTOGJkgHOwWvqCcQfsqAG33CIJO0rKmY6QtAh5wg4OvJygDwd1zsWFOFlQiBJMSs1L2DnicJI04Gy0lFEgRJVU0XhRCkQVcUN_ZASe43UCONrJexzTYhZHYM5QMLi9loLq_wCJQEGTsgMabygDrtBPyikMnBsFmrrnOgYlqKUkNaECg6xjCBXE22CDmk42QORJgcIOc0lBOC0IO074QHPsUDABsKBtROCAFUx_Lr9YbR6ipUe2maRqOloJ7pXssmPzdsvbzP1Douoa5vUOZpc1oIbTFjdS9usuvE6ulpqeq9mog9rSFmfqkYx08Q4w6-rTGFyt7NZK1WXEAXF7qNYg1xc2A285OVpFqL2tq6cgTccqYzj1aJ0UQAbHMr0TqEaQ4veIn2UStVJ1_BtCsm1MaKdQktBvpnC6UxVjmu7hM78IY58OILRi1lM1pI0joMAX5ysnjHWa17m91vPKlX0aY0ObBibEbrmPVYe0BuCb8ra69fo6rmOBaJJ5XWVzev0zmGmA8yTeCt4q2uS5xdYCzRhBPU5rJ_MrF_SYzDTrkuGrMlZ43KpqdcWh2rZs_wArW9o39E4uMB1p-y3qV7FN4MGTc2aTcp6s8VqadAJJze34T0jzv1hj6_TEste5HC482o-L_WK3pgDVpIOQMrhZ06R4r6jXOaASYntPss1tfonmm4dwu2dJ2XMfQ_p-msx3cIbi11pgvUOAeHODgARnJWKsXZVaKRMfuiEjb2P0sBge2S0AXGwPhbndRtrddQpVGNrFxbE-Vb36mNnR9Q1oNYAP7iARkD3Unq-TXq_p_WMa5r6p1tEtAYJjiVr8srDTW_VDUcaQJcxrTGrDil2jy3fqLj6VKo7Q2mJ7RJWPyakhv1DqhQqdNWbpPUPu6pksb7LVsxMJ-p1x1PWBzQCNIAe1kTbCznexr5gVW0SBWqkU6bhDXNPc47BUb_03qBX0mo4PbkHeFuM19ZQo6BLH6A7uut9M1opdUyZBOqIc52fYqsT1p6TqA1kSCdr391uVW4VRScGudL4kyMfKrLjX0kkxHA3WLE16PS1m4AMkZC1CI_q8VOme1xjtIAN5Sxr1_gf9VU30eucwCA55II3Xl5OseD1HTVIbqBveBt5XKxuJsrAS0C_lTwAue_UcOI34UitFFo0gC7dz5Wp23KuabQ0gmAd0bc15pnBNsqVKqXQQNLdUXus78c6mXSRqJJn6YRqKB2u4scnla8XUNeqpq-lqnq63NIc0STxAKz4ntVZDHG5nEcpreKNB1sPOw2V1YszQQYEXysWq2sp6WucLRbUsrisaiQzUd5ndSzSfpTQ0tJuN9RWKrm7NzNwVkNAawncgTCjQ03gsmJnAUros1sx-5x24QamhtITBJ3WBqpjtJbmdludNL09r4ypbo1NeGgwbDZQdTqlzjkgmMKwJXqdptEnZZajBV72uA9wQcoVjLXMMxCzWVmSaPzumzBzO5obO9zOFPU00NMy6wU00aTfVa6wMbrpbqqtcGuEXPsswnRi-O5wWnSfswcA028pqtDAHhrmuAIFwjlS1HTbFtlzvqaRjnNaJnmYTW1PVtqgyTZdGxbcSRcfZZztTBwazEDlWiL3uDpItus6zUi_tIsRkBHLexpMBu4SDwq3F223stNWtPT1LEkZzC6SuetjDpZJGLwtprtQLTEykJC1axOC6PylqpVHzIOYmSsVTU4tJm1kiNtMwADblWs1zyQ0krFXDU3tMkGYKqqES43BMTc7KaFBj91jwVd0UIDwNLpELqMr2BoLrxtZcbCIapcJPuFlqXo0TgA7XRqGpQ0SbX3WDY53dIbYm6m9tEJDgWumOFvUwdYNgDYYKzfToAZAmI8qVVWP0G7gI4We4gNcJM3Mbq6lOGxBM_wBioRanUJYLjyFL00drhEzJn4UDMjS4TKDm0wHj-UF39jSRnYqwcH6YxO_lX0UpP1OBmy1EzXoUXh49l1lc8X1d8YIXWVNDBMzfdZog48YF5XPyNa5pBac3wVhqHc-wnKtaMdTwbzOBwuaU2qCZurWZHMsb38LDRXC5jAOVcBa6XXuVYq1Em0iPMrpO2OTUxzYibrpI5UjiRicqNGY6QZuroDhIkmBwFAlQgwJOn-6zWigRsJJhcxwvfcXWrUFhiRc3lZaFwnaPZaZK0QZv5Un6PTwbC5JHC0garhZaNANzPgqpg--FUMCCMRFpQDFibZugrTs3EfKCocQQM_KvH0PpAAJstUBxDvM2UNScwzbCyDTcR7IHbBJnCAtn_hQO5siRbxKCjGCZzZUcSLCbqCbpccYzdTwMx0EjHhX0OH6QIEz-EDCZbGI5VAsXG8oCJcSQEAjT55JQM582ge6BZ05sOEHAybG3lE-nENuMx9kVVj-0CLHdGaBN8fdFcxwnTP8AuiG16bAEhA4fAt-VdEw-XRJUgqHkAg5WmbNpmusbQfdZT8RDm-fsiyYcmBa5WmjsAc4SNIhRDghoBuPZdIoZESSSVL2O1kdodfhZHNIIByOVqDiO64gKhg5pEi6gnU7d9LTwsVmz6m2GOiQRsqRSTpMKtHa4SCeFsF7mkbfKWJU3N1G1vAwoQzCZIi6mazgmdU3sYsjZgAG3t4KUK5xLSQT_APFNBa0AScnhUNOp2IAWYC1xxN8XXVjk00mwY33WmFmNDRK1GeS9MTgzdVjVNQ1HdAM23mUdPxAgg4RmzDseCIAE4UZc0mOFvcBDpdGUDvbaREhKTtnc4g7QsY3HQREAFO1_KlDtLrRKyu67UGmcBCdpiZ-MoA53fsgvScdObrc6c91RpO2N1oxUn7KmDOj2lLDBIkSFlHEaW8H-UxrChxJBVpTHttOVlkptAkmUCkHzCwDYkLWbFk0pBItPsmOgtIBttsqxyimrtPlRlOLAaZ5lVuT6BLYGB4RrCkSDAsjUK06dvsi4oTLZvJ3Rzqg7rowFXSW2yoJMaSVIjQIaBO4W4sc2psJhb0xSmS0TC1KjS3OrkQF0gYukCDCoQk75WdHTJsoGBvKouwmVQH5J4QHDfCS6C0SDeylFGuhvhaBBFhugUuhAmrMrNgmQX4mFnqDnSUBYRjdSDi0udiVoOAAP7ICANlYGBt5V-g4N1QZ1GJtsgXBJQFigo0HSVqMmDo_5WvqKBsiQtes5gAxvJRYeb8qlLMvNlIghwAutgiDht0BiMq4OJGmMqUTG642auuMEAFZxSNbqKSqoRpatys0pcQfCtpB1QZIsoomHC1lqMhkQrRwkAhYjRC-DPKAEXthQdMbQpR15lQccXstTscAYkoCDHhKGDreUgVxm5FkC5xZSrCG50jAUaB1ggQmeR5CAE4UoIBzCn0UbeRcFaC6tpJhBxBlSgB35QBw03VBmxuoHawFosqP5nf1z-g_4Hq3upveOoAa6TiCvfyn6flbr5l3XdQBpqAiIa5wXOa6xan0Df1Doupr0mtAY2dLjcDldMl7xXkO_T6lWkJpBpgkBv7oXLO2nz_VA6yY0gTHlcr6rFTqkv04lWI0Na5wDgADixRHq9GfUYAbuBiV2niVdpgaibzBAWsGtrSzuADbZBVnSLNJDQGw3claorTMAyYIMeFQznd7SBdu-ylUz6g3OeOVmoxdU8ObYAAG0rnasTon1HaSJnEKSK9OgfpDgbbbrZXqdI4hsmImY5KvGMePSpPewiI0wus6U5_8AcAJgTuVai1VhqCwi8ATlZVlMPA_cBkrFl0V6eqBqcQO4x7rUG7p3RUOklpOGqpj0KFTWDk8aAtQeh07YbcNINy0nCmYmY879XqmmxzP25ECFm-Nx8X-sMc4EktI2BC83JuV4r6cAWBv9QOFxvbov07mgAgmQCJIlTEtx6XTuqBs6u0YtCaqtVxqNl7yHWJGygejU1PY0AuAPbyVIj0-l61_RueTbYB9087iqu6qj1dTcPAjUcK22j0eha-m0OJmDZoNvsr8LesfSUf8AIotaxtOvXcJDRYfPMLXH3WDO6x76WmroDi2zYiD4U_Kprxf8MaLjDi52kmW87qfj9dJ4zDpalZwc3VUIvrLvuCp-NGynWcQXkFzg7tG3_gV0To9Q_U3W3VkgE3BVVv8A0nVRrB47y67A4wCNwruMV9HR_UXVATAa4O0jyFrEr0ujFTqWiHAwD7uPKsc8bunJhrXQ8Abcrc9RseXhogjSLAjK6A0qzgRqdA2kLKY2U-pE-pDg3FipTxZvUesdLomc5ICstV_nf9W_ofo1nu6oamOcdDmbAlcrP23xr5L9R6CiKLDTa9zmzcm5GwXO46a8Kr0TmGajQ15z_YLjWtQe307GIi3usjW1mltgO6xXSNcRLO9o06mgXBKOqgpGATgGbLNSpdzHHVaBnlZxyc4jQDYnMYWsa0lzE4uZlSqYN1AbjgKDT0Z1ANAwclZWNoEjc3kEjZXG9cBpINzBUIqY9Qbzss419awwtcLnTFuFGtaQGgNcO2RYqaKtbBcb8TMrFZqoYA2AJOCVlpBxFMFu8xdMWenBJiA0xt4WXVem2SGkETu1UamsIbM2P5WTNa2EU_AgbLS6uxrctO_Cx40o4Q2wurUdTPbN5lIFqd7bAW4UxuPO6khhvLeIWb0lQMucAdtykjJgDYzFpCzYKMLmuIe2Abm-6JgsDZLpMTgq59MUEsHa0Q5Z0wjdRkNj5ytRpaNLYtCtqy4AcSSARJ_CxPW9PRqaZ7jIyt65WGNTWcwFiJgA2gHURs5ZztVWuDg0cDC67jpDU_qdGCkaULu0zcfwlRjLiLbHF1hm3oAYO8jwrXPHA6HEguO8KxZTgh0H_wACujT05LQ0nHK3DW6i_WMZMZXWJ6WCXAzpEwSqotJLQHGP-5SgEGIJsP4WKK0mwJPwDhWDTQLR_twtM0tZvcBJ-VzsaI2mZMXCyLuOmmAbHY8IBSBe4G7iBYFWDSIa0E9tsELsrF1BDCb32XLksQY-XyIvOQsLPcHViTpIwOVLVsF7C72HCkSTQDi1rZPss2NiCLxYnElannabCvF7i8Ikn0WiAAbLNtjQtnUREtPhTU08aSJsSMqUyG9QyL_hMDMcDIMz4WjTiXczwMLNVUPBO84jCyNDXdokKgh3dBNuEHAxcCTOFRanDjIFuFpGyk2IvAM2JXSMVfVMRk7rrHOjIAIBUpEqg2MEZPhc740UXIgSsRrio2wBgAHhZtdDsjIKyDl11fUAuhxvCsZu_BgOsQTAWVlrgQ0Wsoq1Fwc7HldIxWjLYgDyF2jnQ0h2oi_uo05o0nB8qBov254VoRwvEyFi0SMgHM7Qo1Agn3iFKtVA7bgzvdRJSuh2SQQIWsXNFs3_ALbqSZ2VzhabjlNYLri0Iv8Aimogk7JK05o18_KrB2ONwSAVQ31kXkgIOg2n5QVpiCdloUL-6NuFrU9TJJAmwB2WVzDNi5BxuVmwTbdxOR4V-BiIdN4WVUDwWySZ8KYirTqaMSqGLodH91QHS7IuEUn0nCgbTPdgoCSLZVQWnF5CBokSMbBAXtMC8IkAEzEf3UUQ0yLW8qjnOk3iEHET_wAIggyBe6KaCBAk8BQEPJ91QzpnAA5UZGmIdBn3VaNUAPuFnWShsRyFppVpJEEXG6sZEnVNyAsjrEZsqLUmwBMrU6goG5F4KIOgk3sPC1Ko4GbpqWpl1_KzFw_cRO8bLWhDdsyYKaOaNibRKlAJ7YO6gXTBJ_lARM2v8qh9ZaQIlblBLdcxHKaAOJMqaGLdNyN_ur8Q2kgE2IcZuoACACCL8rODphxAOUXPppJZgBX1Ba0vgmyYp6VzEfVytxjk0wbWwNl0xgweQ2D_AArGOXqtNwiZ-AqyuDMHARXOG4uhtKLwR_KFF3c0abEGUR2oxBypBRoFl0i5p3QdQut1mdJ6YyZXLG_S2vBv5UZReIP91lueEFjfKizo_aR4_KKn9W8Jg0UwNIAwtudmKNA2Wl8MCT7BBRg3OChRIgxN1hkNM4JhbXXOs0DKzaaAf3RlEBrtQtlAwnMx8qYEcdPtyjfHwurMbp62Zt5TE6Ag6pn4KrGBUPJupW4WZzH3SJri6PCrUpdQBI35KCjWmJNkcrqjTFkQrnSlWFDtBkiBCzHSSU9M6gNwN5WmOUxSIHha1NOy8AYWoiocWAWuukBBmBMIGkO8hagIECAs0cJNkFmuJF1dHatORK0GB1C32WIODoP9lRRomRNloMCGkSECOvfKBS2CoCQbKZFIZwsIcQBOwyoOFgRJnwrACDgZK0GbTLTM24QO6IV-gNxytBkAkAIA0y7AQVaTpMqxKJZFxflVkwNpGEB-oQFrQcW3U0cJB8qxK4Xiy3qOEtKIfbytapc7qAEQsUK51xCw0LZGMFZwGbWutAwQAFQoIIO6gAMbyEUQ4ErURzjeAFKBAObKAARlJ2AST5WQATZAW4-VqdA8oOi6AE6UUSCZuLKauJmZE48LJB2sqqbpkxdAobEbxlQKXCVPoJiBGSn0ENvm48qh34GPsgUElNA03VBdYTKBC6SOUFA2c2Qfzt_6g9I79S9L0nei-wdJtC_R5vxo_wAw6rpR09Go0dQTJM3kn4XHcdp4h0PXHp6H-Hc93ome0q8b3jpP2nV61vSOptbVD6LhLIMkHcLNudrXh9YRqffeQ0Ll72srDpHpkyT7qi_R1tNRpeAAbBIj1unDaerRMzcldp4Vezn6g6WuOAt8e0xrFTQ0M0kMhaxDlzmNhpGmJg8Kb2NNCrrEzE4QM6GwRJ8qTsFw9RkTO-EoxdS4NImfjdcqpKIax5IzN43Vi-PRoVQ4E3Bba-y0V6_RtEd0keMLozjd09QE3BJxK0N1FzdLhEkbIlgPq6mgQWQZ4RUWAEmT9xlTJQQ5rC0Fs7DUs5g0dM0loMEPB-VZdHo9K80wXsIBgCAVuDfSLg0GO4T9N0qaw_qBdU1t0zbuccNWb4Svjv1amKdF73hxAOOV5uUdI8JkDEtk4K4ui9KqGOc503EQMKaY9dj3FoI7QBjlTFTqE6mmC873ws2DXTOl_bIOqx4KzJjRhUFYOaSfUBIkbla9ZX6AaXhxcO4jtKfcPH03R9f_AISlIax5Igu4K3vWMPQb1bm6XUjFWmyWxyVc_Qet1Ffq_Ta4nW4EuMQZ2CuNcegDSelOlraRcLtcbNH_ACre_F8YXdWOne9ji7QWxqpiAPAWE1WpU6WvRIp1HEm5DREK2RYydNT1PqveC8xsYUWtnRhrKLqZJJjTiZ9k96Yr3-jLmsEhwcYBMWaujNel09dwLSxxcGuIgb-FGa9foKnqS0tLZyAVuddsvQfTBa04AMCDK6boLGMnW3VDrGVmJhzUa1gJBkC5labw3TVSys4NI1OuspjyP6grCtSYX02uJeSdeB5WeRHyfSfotP8AVWVOop1sVLjYnEBc8aeD-odM2l1dakTo9I9oddcbMrpHgUKRqFxLIAP1RBCxitfTsDahEE8F26etyqupi0GCBC024QQZAgbjdZtQPRn9uDY8oynVpNZE77HIV0Qb3EjINpCnrTgz_Ncf2gCQVM7XG7pwI0kZ-oBVcaQ9oaASSQIssarnkthuqcbI0YWIM3H2UrXxdrnEQ4_ZZrMxegCLEl087LLbbQhjQCCJO95UFdQAuZB8rLUI-HiJsOd1hbIemywLZ7kaWbGnbwmf2rSCwtAAMBRYsCd8QtYjT0wdsRMKVYq-1yZ5gZWHROk4B06YMnK1GcB733NvMp9PHn14Lrn2OyzUKK4DBOeSFnMDyDYDUeUvS0sHtaYA3Jypn1MCCXuggRyrKCwkRpz5wpRWTqkOjmMKzrsdrD3G2LEpG5Z9cxoBPcIO6YcsvizQHCQTIsIRJDAEC9zi6ml4mYABMCQIg5Uk1nAAO9lcbm0Q-XXImdt1rxvVHEQW7eFRlL9Z0gRe8rlemLHHsLrE-yTtM7cGlpMZN8oU7H6CAR5Wp6y0UxqJBJ4svRBtpwwNJ5wtalUYCx0uwDYKs_XSZi54ClbLVgNi_wALjoNGoWiHCAeVqDX0zi8bATlbiDVbJiQb5UogaxaYE32XNTCprIBm2xygeiYfMQrPRo9T1AAT9OIsuuDL1IhpFy47rly7akrO3S283mVGp-xdAPAIm6jR6TydI28ImuN2xkTZD0rWmYDY4lDINbU-QbSgXU65IF-VzvpQbULTpiUSHA1OBd9lncVQPLZAxsqKMqBrTzEonhy5zhM2GCFMNNIBzMXUw1XXfSTE4Kq6Zo1C0hA7HwP-5QWZBcCOJjyrE1sYdQEtFl3lZq4AEAb-VuMenYACBJEflW-JKnUeCYIMnwubSQOkiduFyvTcn1dsNaCcrOLog6STA9kw0zmjUTMKs29i5g0hwEIrmkCbxwFMXXXdtsopqTdJbHC1NYrWww0GIC7RzpnG0cnKi4UN0gkX-VVAngE3upQjnbi17qCb3TJso1xDUQImfhZvTVnYtdAM3_uoz56ctBAJk_K2srgbREQoWDO53-Vn_GcK36gJAK0jjcAz7wpqnpGAYP3Vhgm98Ko5ktdbAGVYKvJsCUoLSdzEcKxThxERndEMDrHiUA-kjYEJVOHQLrAQnVEAIjmjVjKot6mlrTPv4QG7vnwgcPDGkOlQI904U8Bbgh2RdUPaG3tKoDbE2QNrgXBCKDnGbnt4RBERc38KAh0OEyQcSUBeBF7jgKhW3FrICHBtwgoSdslNA0tJETIQEuJIi5KJVARpyScQhrtp3WcQGGwk3WhRrplWBnGQBIKtBbYXv44WQwdJmYW_RopNtY7crQewYdM-6BZGLwL4WahYBfMH5CKJBiPCoW4vnlMwc8DOLKCOq8CVBbAOFRMEtJ2lX0M0nO4VgfVIgRc3U0NZtsLWJqgcDKvwKSHERsFMCm7ZKeBSSBAknKLp2kkEn5U_wOO2cwgow6rkRwtRiq05EHMeV01hQQWzvxMqxmztRg-6rDQ10DhGpccZiQe1F_sWgEYRfXPhDIDYPvuiq2sFdSg8gOmZV1ilNxAb8ysmliQqJuvZZx0lTEE3n7rJv9GdEIJEl1QcJlFaboOk28KxmtLCIndb1nRk5VUWuM8pSqg6rkXWWTB0CAtRSOOeVmzETcYhZgZt_pEDytDpjaUHPcHDlG-PiUd03UWnaSGSL3VZgOdMnIU3HSEcYFvyoYIcBZVzsAtseVWoDDqN4PwjfigeNQRLggTMmJUcQbva0J2AAdr-6OvG9HZY490TlVZDhErUczM-qFuC7tNjcfK2FABIVnYqw6RytDrzZYoLLuukFgRCoE6jiFdwMBeFAXZtCujg-bALQa5PcgFmyNggSSDBUDmDZPRMmLZWKG1Q2DhZDNN75VHE3kG61AATflaHanf2QUYGtgRCAkibfyqA67UAEbfdBRpkKxnVgQRK0hXX8IOEgwEHSRuoDm6KdpgQPutTtmgWwZlamoOrZaDaggR4BypQhbBsuV6aGSDZQGJ2utAl38Kb8CRBthA0CIOdoQCLq9hrD3UC590CybA53V-A-ywrhaUBjTutoJHAlQAGMoFIkk_dFA2wsroGTtZB1pRSk6RGfKgmQQT_AKVMCbp4GJJ9lAGuOqNhstQOZIVBAgZWaDOxWhN4lQBoEYuqGI8oPwr-ufpQ6gO0sYYxq2_8sv1a_G43H-Vf1H-lMpVKhfQIMnC8_KO077fGmhUo1m1SO-NJBNoXLx0jDWpFxILYpg2Hlc-XpWPqn1C07gGxAupFjJDi4DN7-FcUzSDaCbXV3GXtdNL6AfILjYRn5XaJa1UY9TQ4CBsElZlrVOQ1rnBdF1T0hVB7bgLN6qXo9NwpkCxha3F1cVA9ukdxBm6swB3VaALG42KxaPK6zqDqsHRt4WbNaxp6ZrSxpzNwrJg9Pp2AMA2OVZ6nJ63TEU2HU0yMLsmNjBpcLS3KiRppd9TI5VXV3aXtBLpItcKGpsfpLmhoEfuKozPAqkktk_tPlRWnp2awwgyRYzZMHp0QQDZoMRFsLUG2g0ObDJa02gmFUT6pwb07m4JzJsFnlTx8X-rt9XWR2NaYA_1HeF5uTq8mlQzgCbArje25XV2E1dLRA073Wcxda6LSaUkguyZsgqGRTa7OrJ4UxrFqEPFzIN22j7rK49CgxoaXtI1TpKrNUoOFN7QCRFrjdZ-7Uvbd0j6VOsDVYS0OwMFdpZ9Ht0n06z29Qxmk2GgmHR5CspHpuM1mkwW6jgxM48rbNZete4Viym2CCHAtwG8ErlerhLIw9U6nT6__AD2xREFrdU3UixOrUbV6kHT6NHA04B_ulWMzK7W1WAHWGkS4WkzhTVrZ01Vrqr3EPaxhkFt4WfrD6Xp4LG2IloLhqXbWKtTqPaWkHuJuApUe1-m1CR9Uy7YLZj1vVY2NN6fAvBW4idbqWQWye07K3tcVaw1QQ4hoccbrJpK76YpllNzmvJ0uLRC0mo9b-knradQCq2xALJWbLSF6n9Ob0P6f_wDs4Y17GmWxE3S9RdfD_qvTV-paHHp9NWo6XFogflcrLyalxjr_AKT0_Q02VKzvVqlsNpg4PlS8c9dHhF7aFR0t7h9V1y_pVmdRTdA8XCmLKoym0ND4AJBAvKzWtcCW9oMwJRE6rb64EcG6uIV7GuZpBgDHhVsjWm7SDHKlajR09KTfi6l8xWimyXCRsufUDGlrItDo-6o7SNYtCla-K0XQTJkjYrnWY1U4L2uMiTgKOs8atJxgoO7mdp04m14UoLO9rR_Iyo1uxraZMOsBawystRSnSmQAc2ustL0m3cSe0bG91RctbfFgrq6tQJNyLWwljSlUGJvM8rOGkIxZpIsVNxdJVdB0Y3HCzGb2xVL1JI1fwFKJVDpMQCZmEm0cIfUcZIE42WrmChggAQ72WZ2F-qoBBDTYgm0rNmBxFISZJBgBa-YA95bLW2neFYAwF0nB38-yvSqlzwANQ8hGp2ZurVBIjaEzVxU92TcbFZxYNM-neBfK1iXpzXhxiCDyVmsA-JJFj5V9dJMFzyWXBMbhKInJBMbrOGAXEERjBVPDU3tIs1xvsljn6o2k1x1E2H4Uk7MaGA-p223XoiNdO7JF_BVSrMOoG6sTBYIcL2KlaBzQATtMSueBCCYDjebKYNPTyzU3B2XWM1R7gSCbwcqVYi5vcAbrmp2U5dpJAHJN1cDG0-dgqGB-kEzP-orU5d4FqODQdO9r7KWLLiDWBhAcNQODlZ6rpHOgEg7i-6yoN1dpGEDt3INpxyprMTdLXAmRwAmtOqVJiRKiEvpIm2bhS0D1LCScxAsVJBVgM3PwrkU4dpbNlizQW6TE3KliW4tHaTA9pSdFdN4FhC1aNDARJJvCyObBMyftuoCzUXeeU8VoZbSf_JWuLOtbcSRM8brrGWhpJsBFvpK6zpFZAEDOy3rOJTqfcHwuV6UppQ6-CuNXT07QJM8oh9O9-Us-tS44umNuCUxd03q6YOTwl68alUAFSTBBCuqTRpdPhSjQCHAWiOE49OdXY8TAXXWcAWN7mIUFIgCACIWoISZOQ2OVnkJ6QHGMEbrADm_adiq6aBGItKzUnY6AIkwPCmlh5g8jwtal7EAll7BZWBJBiDyhaF5Bj-62wPEQOQsrAFrfgI0oHg84WmRIiDYzdNQXdwuoCwxOSeVqKoHAX38oYNN0gxmcrKHEtBvJFlRz3aheZ5SeBMTawUDsLQZGfCooxoJF_goGBDb3F0COJc4j7IAM3vAlQM1xBJvcboGa6QRgncpoMWk_cIOB2Jsiao64BI-ymmlLSwjhaU7SHN8bhAHPBEAXSlqbXaXweFnSdrNEmRfhUFzdLQZ3mFU0PUIMHOLIp2ObYH8IDtM_EImGMATaPdRSsBJtIKoqJgXxmysZMGubMwQqHAFyLEqYHbMG6sorSjSQLFaFA3U6dktE4g7xiyyOubiRHlW-AwYwJG0qyhHy3_ZNHMMsgjHKyFcCBaRKAi43tygUWMxvkoHbGq5EKhmuBJ49lRSJAmAVusYUu-3Km62LRxmIkJoUec-cKhms1H6od5ws4H09w_0q-APccbeFAWEgAasqxmrgxay6TphZktkkROwWozfFWNl3ICrmrI-kTA8oHADhAR1ngEFsQY5RQLgRANio0DTAMSpfWTB8Aflac67UHWxKMiAQPpSDr6bytyLE3wfZZ5GploJMRbwuf11B7u2d4UqJgG039lRakJJsQeVYnJcSYtAW45nDbZAWl0aYk8LNU7GiIG-ZUZOG67RcLUUrmxJ25SzRPTqA3WMQ1MHex2VDOETKt6WJkgZJhZrpJkACbyU9SiNW5kJ2zuF0kk2ynrpKUskg5UXdcY1C9luOdGRv8JWdBrwTgLGtfkYN34WmHau7eEDZER8poJgDyjcnQEkC2VYl9MwGDJVSqti24WoilybyVpNFtoFwtRVJ0iOeFqhhEQsUEC_CkDtcflaBFrqWjpvK1_i4aRHjdZQWtA_4W5Q1IxbIVDOEyeUCOwIUoYR_yufcE3DuQdEkSg5oIIBN1YKQbg3jfZXQogHb7p6OzhbDTgZPugZwthAoMiDgoGYyAQgo0Y44CM2KDtHhbQbFshWAMMOJKgDmySYUBaLKgl0HKs_aejIN5C1-SOcZi6zauO3VlSibjCtveLhCRYLnZ2phZTwBx0m26hCRkqxXWjytIAJKwsMD5-612CSRlEcBOcooFgJKlR2Nwo1jpAzZEAutOFcQzHLUuGDAIkSVnlQgBa7KzBxvlVQtBuEXHAWRSPsYyfCBS2R44QT9O-As0NAbnfHhQc0RYLUFIDQqFNnRErNgBAPhXQjpAN1AGzJ45TQSWk8rQ_F8NrtIqAuAvI3X6tj8V8h_UX6W6o-pVDdRMkDhZ5RqXH-Yfr36Y-l1DqjmGm3yMLz2PRxsfN9YO5skMMXA2XKxfXmVbgNBl2bbrOHjO6lquARqOJU01ORRqAZIFhKD2-goaqLTqExkr0ybGKZw9EETLpymYNnT1vVGiIccwV0mLjQ5wpTebQRslmppD1DHO7QBaVzsRZrg5gdpzypqo1SGNOAdvKEYZfqE5HKOr0f0-lLe4gNBsFUe3RpS2Mxey6yfXP1sos0mBJBE3TWmhpMAE5OxVTP0pSqhu8WuUSubWBA0yWncqaxqxOgdpm8FVvK6i5jWzJLiJhNaXpPJdFyHHAKg9HpoMCATIm11udj0KPe6R2kugk8BErz_ANXp6GOgucSJ0gLnzHy3WMPqmQ7SMabkHdcuTqxM6V7XQyGjMuEyuRpHFlI6nNIes4oMq98uJDnGAIU1qdNTXPcGyQQPuo1o0yRdxhx7QSjUbqLwyaLnEhxvCxsZrYemmi2oyTTEiCYVk61GgDSwaacFpBa0n-FZB6nRdYyiQ1xY_UJJBuVo_wBexR9XqIdU9PVqiRklaltYtCvTo0S6kx13drg76Z8K6PNdRpFlQuZIaO2DdZaM_p_8hriQ5lgDMQR_dZV51Sk1rXNDiWNuQW5PgqYp-l_UDRpt0Nc7u-k4I8qRLH1fSV2uYCXhpqNFo3XWxzq1QQLVILjqnwiPX_T3Pplj2mzbTxZVK9L_ABDQ1xdd54MLSAw63EO0xmxhaieLavTEmAYkXla8ZQq9WKz-8w8OsOVEO2o79PovLRqc90wb_YqY1A6T9ZLqemtS1Pc7TcTHmVRP9Z_TqJ_SadX1fV9N8lzTJB4U5TrpqP8AP_14ObUa003MrBhcXeeV57v12j5_qNQFFze7VlwvqWM3tqRIUoeYJAcZhYbkxZnVOpAQe0WCLY0isSAGu1bnhKwnUqmo6Ab7WspqUocQA18uI3arHSTCvrS4XiNlptu6J7TpGva8hYqV6NENMwCTxNlnImlcAXwTLh5TF1zg3TAiRgFMUzWlxkRjJXOzFaKbAdJcTPKw1O_VvWaHaS7GARlDfhjUgEiGE2sJU8XAZVh_0lzhgSs1V6dcgXuSsdr3GinWMATErTfG762kOiXGP_MJjeGpnW5wN9pU-mN1JoY0eYPspVCoLGAT8rIhqvAvOfdZzamC6l6dMydROy1jTz6zTTJaYAzlSxE3tDRJv7p70BSfDQcgG90wXbGoge53VnQUuJALW-SVLl6HNcHSTMJiz9FcfTdgkQkRxe57QMHKW4Kt031kaoBlVvioXNiRgflGgpfUYPaVJ6lc581MgDwrZrF7BrgCDGoqYnh_WBgOFlG9MS2DFmnzdIm6k4BwkDwpb26OJhoGGhVK4gsIIMEm0JHOXFA4NcALz9Xlaxr8m2gQ-7XTOZ3XSdsNtNp0RN10jOjBYcTbOyile_XERCfFORLYDrDAWQoJDgAAYSC-ol0Czja_Ks6HO7t4IF_KBQ6Aczlc9AHc6SN-MJrWH1gOu6QMFWdoGuSSBEecpO70GbLhJlbxEajiRYEtiLLFaiZdEi43WHQ3qEhuIRjBBgzKNa4u1Ax9uFKX-gDw0tNpn_z-6yxlLUqWktjjlZ_tsA0Ezv53T8sUWu0mQbq7oqydAIAHyruBx3AwfhSs39rtM203sshgCyYN5x4UWma4NJj5ul7VTVYGcKB6RLifdBoYJILpHhajNaaf0ltoXZjVWgNvsFv4imqYAMDZAbRj3IS9hPVn28rjjWGZDjaJRbFAwEAaoM4UqYAyOclEpXMJiPKXpYqLU8yfYqNuB1OloyLqXxWikYaf9lqOd9UaNAJBkrrO2RBLmzxsk7DNBeLWXTE1zm2jdTNNc4aQQYxdYsaZ3wLG5subXwBGqLj33WbekjtJ58J61TBoaAdhhEnZyYHwr541ZqZeJm48KphS-XG5HsqXoGvgmBc78LNZ8M1xMxlXE0Wu7rgiFVqojSIiY3RkwhtslRR1AjcSmAth2bxsVdNMDExMTumodoLgYt7q-gh2khumNpJTMUrRIg3-VlDNEbieAgadJvMKhnEO9huiy46QCI-UQrhqF5j-FKKEA2P3lQFoBIuRZEokBsZhVXRq7ckXnlMxLHPqhgzZSGC2qHQLQd1pTBo1efCAP7CDcKCYLjJJAHjKYLMILdUphTPMgg54U0K0QIgxyr2jg32HCqqh7mTYkQg5sElpEEmVcTwcOiTdSGrNOnOOUQwv5WqgtGp3N1Naw7QQBtdRGim21yPhdOIoXQIGEwQc4kxj2WV6EEhmSY4V1AMGNiVAsn_ZBMF0wrBUNkZnylHapbyFn0LEjEDyrgIBda3wg7SJAmObLUFRJIAMrbEGNLrX8qY04kXJm6mYoMAMzjhalRWzYmQOFPvadu1SDNiNlLV7CdRAupQWAkkYC1E5eNDAA0G3ELoxVWxAM33Wozf2o05vEJrGqsbqxARuQXP0WkKt4Ae3cSoxXSFFDSRgW8q4bHCTIj5VY5Xs7QGe4UZFxkOlaiwWGAJGcLeriVRt-E6rJDIMrlZ9bnJMguKnvcbc4ECSfsoitEwAYmVqM8mhhvE2yt-sCDJOPYqhxfa_KlXRaCXbYhZRVr9MmJkLcPSl0lXTE50kjfKyAHSb2vlXIOLth91LPrUI8mYiRCxXW-GYQpjnbsUAstMAZAsLK-r0R18WCNRN7A08KyljtBmFKzSgBlyuaKAkrWrJtECSFqKf9sDC0OaQTys4a4kNd5TGTNl7j_dWCtOGGCBK1FUNznKuMCBvK3GnG8mZWqGEN9lgc14JNpCYKNOIVD3QAkhamVoWtnSs31KJdHKkRzHw7dblGiNQlUTqNMiASEEy7S4WWLFEFzpv8LP-I6mYPMJQ2qbpBznSPHC1n0GLSqODSd91QzbGYBKoNTnCCTSdXhA4N7yUFA-BEolNMgWtytMmp2OJVDwPb2UBBjkoA4BVSwoOwMohm2MlagMgiQFdMGYRCGwi6xelcHBQBxmFKsA5jI8IoASTOPCGDjCHjgeVYgjuN8Ks-DAaJz7IpS-TeFkcSNhZGtcRZGQNhlWDgPKt6FJiBKlQrrmVIoFWxSwZsVldc-QVVLmwsECuzCg60eVm9gmCJOUwdpv4WvASJi5PugUiHGSgDid7BMCOOD90oGo6fCx7QBUIwtYPxXTqy8EaiW9vEr9h-ITrGtqsILA4xBBOVCevjf6l_SKdb9Nq1nfWw4AsscprpLlx_kP6n0L6PVvbJNrkiLcLy3p2leW_p3U3AiCSYt7rOtJ1XaB2i7sSuaMj2aXOBIHC0uV7HROLKLBtF16eF6Y-qdVT1vGnust_V8P0z9JBgcSqa11mGpkiMytU3Cf4drNLpt4C5s7qhBFtOq1lzswdpc4YGLT_AAs1YyPbqcCRpANwkdXo9MGjERkrcZet0z5iSSBedl2-M5HodNVDnR9Lbi-UwpqrASHUzJGy0yz03OaQIlxMXNli6tUptI1F4ggfdVJDf4l0aQQXcNUq5YtRfpDWPgCIlPixr6VzGOk9oFwQc8rnJVejQeWvLmkT-AF1nQ1srl1OmQHWuQNlpKPU9M_qKQALicgThSzR4dfo9NSSTqdtH91y5eNMNah6LC8kgAwI5XLGnmdU5_UueQNTW7my53-mowvYBLQ4h0bXgrA9Ho6WlhLnE2tKNtZ9MU4tBEiLklRd-F76VbOrZGdxuo9Vqa2mWkNAIJJSX4b23dO41XelqIAabkR9lVa6LRRqUG0ol2P91ZGd19D0rhUirVrGnTZJJBuuuxHdZ1FEl9OmzDR3AflTEleVpdRMRIFo5Utb6M95bTaxzWyCT8Ln6rG-rOk6ZEyLxCBKNOpU6ok9jYkNG6SaXt9D01M0302hxNpXXzpzrcajaeovjEeFlHp9NX0UQ5rhEXHKs7qN1GsKv-Y4xIs2F0zBWmRTaW5dnC1EsI6qajxcgEaYGyrA9Q49zdLSDuPZZsWPn6v6yaNSmaTfUbMO1kw3z5WNrWPZq9TTBaPVFI1ALxIEJvbOL_rNar0XQ9J_hgK1Ws6Gg2HuQtcvGo-Z_VS7p3vLgKvVklpgzC42ukr5p7DFR1ajoa0iDtdcs71tYfp3rU2abtb2kt_88qY28vrumb01U09bXOBggKNfE31gymGAZ3Urn9EE1CYIkXAJU9UwcS4tkBwG25Wo3HUxLiCIMXRtr6aWtkmTOHWUviN1OoQS0AAxkmFjyGK0GlrocROSVJTFKp3aNUK6pGVS8kRthZvbXxaiS54Au7MBYsxPFQ5wMONhBErLUn1ST6YLrbWulaK3VqtDvJssDTTYTcaY3CitDG3kXvHysjdTe3SQTbErW46yhTqODxE6T8LTT0aTw1oiWzvGViwM7SQ0i04WGWQ1Q2o4GJ8JjR4LxewAuQVueDHVLbtcQTO4WBicHSSbCYIKB6YNMS4ANJxuUFWvAb9PMABAA81e0kkDcIJPJANnacIph9bdZ-RsqhmuM6m4jJUoam_W4A-yeLp3DJDvpMRCq6Rr7EC3tupia4PvJAJ4RBc4RAmeApQ3p6SS6SFLRQOsDkeQkhIm95i1jKmOk7AlzmgEwNyFUtzo1OIAufMJGTGZaLmLzCuweh0bdIaSMrrxxHosMgAWBXTGMKJNQAkgfwsqZ4EiMRlUhHkDH3UaTa8l8kILMq82MyFRRx18YmeFmjP6hDowFzANU3yPlZxdO2IEzEfdVqdu1QAfNpQsaA4ltsfyusYB1PXLQb_6ZumNRkqNh-m-qfpC542NNwmBBgXUJ2WsQHSrGaDawfJs643VxnTMcNJMLFbhXkHIkLFMcO9wgSP4WcXTh4EiY8FaxTgl7fmIKuClOWzYYidlm9pVmPIJ58Im4Jq3gD5SQ_sblxE5CWNHbJEnCzILUSJPEpZlFxVJMWhWJfGxhGn_AMuu08c1ItBMRstopTBB1C9sK4KkammbcQliVMs5FuQuVXXMAAkEkrHinDi5p8bhF8cCQDsVFEQTYxb7o1DTa5MYTzxRYW6vKbBdpkRJbeIV_wAc76cWA94XTjWTmMR8rpJEWHa0dwA4XRAcZIIExupUTfcSbLFahSA4iYlcsVF_-WQJjysXxqFDtRF4nlId1QEwTc7wl9XwwdbAIjdX6bU3W8eAlmrLpIuBi0ypbjTtJv8A-SlZwdRMNweE1PxUcA1ts-6us2WFZUDbHmVUUc-cW8qKcXESCg4lzjAAAjKiKNOkiSqG1uI7Rbla8DNuZOyVRDgW7fKxULrLSAAPdIrgXPiZIlWo5p0832IVDMN7H4KA-pwPugdjQWDV-EHeTvwoCNRMDuhawMHETaCoIwTaYv8AdTBRgAcB5VFNUOOA5BziYG5QIGnUDHwgsBA5UKZt5390xIUEgxNt1Wh0wRF-EQQS7a0Qk6DtsJAumhmODrZjdWJVWukGRAVRzYLs24lGobS5osM3CyaoHE74-VtlWiT88rX-JVx9ypemUHm5vBWfVl0J7gDlGnOaQPdWBCY3UBJBGb5gpoDXlo_stWBw6w2AWQBY7XU0c4nDbqgt7Tlags83sJtYrbEnZGgl0mCRystnloJk-yAgWkflawAglhmT4T6OAwMWWfoIPcCQl7FmENvC1HO34pTAJ91tNPdsxCunwwJe8wZRxXpyALW5Vb3p1QhxKWtyua0RlE5ABHlLcaEyciSqmmAMYnwkcuXpnkEm2VMRwbcKwEPDTgH2W10pE4UXCvadEmSfKnKMo6Z8LDrCvdpErNFqAMD-y3GeS7DFjjYrXcYOOZW_VoAmJFyFMBa4xF1ixFBxKBX8Srq6GdvlXUDTafumjgNMkYWW4I7myYHhFpI0wZUYVa4xjKqOJhwv7hG5hHaQ23OEaxzmkjhWepSkgMEDUVax6i4OsTOcLljX4qk2EqmYZj4ErUZ04ktPstmlawiFIaJEE8Kize0couOYdRk8QhVYEAiV0lZdHaVocJEhZvoNzAnZUO1kCSoKQRMCeFQQ48XQMQTstSAzYbxspjQuuVmTrWQLtIEfypBZpkAXk7LqO5Wk0jm6iSQsrKSQJGFiwIwkEoH1QfCB3CQCEC6r-eEHBx8qwWYbSZ-VocTIiPugkLT_AHQOII_2QdYEXKCwgg-6sZsdOlVFWunZagJjhXIlBxGwWfFLBuoAXDT5Uo4SRMXSBhZslUcHeEUpJe7hL-0CL8qaOiDEqKIMXGEK6Z9kR0TKL6BVhRZMG0hblZon6bfhZUA0HIQcWgXFwoOycFRYJG1ghTMh0rVRzhdApIAwsq4EPhaiABDoSegOubCErWlJAPAWVTLtwJQcbC8_CzQQQ4JoOqCReFACbybLUHGx8KgPxMSoJnBPOyYB9QJKxICKchbH4n06A0Te0FfrPxE-qBZT7XB0j6hshHj_AKsxx_TK2kCMAbn3Claf5l-q_pomSAC7YFea8LXXi-a6_p2sqBti4G8LnY3HkVWtEg_tOYwudislXqGvZAaL7uUB6Pq_Qr9x1NXXjyxa-hpup12au1tpg7r1TOU1mn_w4Dg6QIwArIjS5o0BxcRHiyudLlSNbtvAjBG4UQjy7SXtAbN7LP476R1Oo5zbi0rnZi6nYTJETIAUbh6FU-pE4zwtRl7nRVNTQwgScBdh6FGnBDjcNK0lVc0zOGnypSIVKvptiPssNEbXNSC4u-FZf2zHMphnc3tEfJRWhgfAcRI2DlRu6caJIAgXhZS3GumXseJaGtG3KuK9LoarJBAOggg-VtK2vaGhugkGMqYjJ1vRh41N1Hw3CzymtSvB6vp_Ua5kOaG3B2XDk28jqXN_w5Y1paYwd1x8WPMZAfqpsGYM3XO9-t5r0KFUUnguFm7HdFavUZUaHCASYAB_8ulFXNDJcZkWjdB1FhD21BAJvHCJjfQqFrtQILyclVXpmvqptDB_nsgF22bj2W_Yy3dP1L6YaasQXEGRN_ZTEaOqrf4hgDJBIuSqRjpS5wySbGeEz9idZhbTbpkSfqiYUvisVRr6L3PMEYElZaV_Si5_UnUQ7SMnYpO0r6Oi4hg1cTqaurFXcfUbpxAkc-6Yj0-hJ9MgtLyZgRhZGul_ly8EAgXYVuaHqOHpu75MyHArpqHoVfUJcWDVYTsU1nFur6gBr2ubLYguVJHmCgyoKYaxpLbARaOfdZ5NVX021Ot6asD9DCfTIkuPsVjO0J-uf1CadFtFtBpeBqJcdLmpyqvmavUu6ylXqCWtgEDck7rnWsU6mlSq_p76bSCSACA5Zt2dNRg6Yf8A7KR62hjRpAFy4jdZm46PH6mn6daXEkAwXbrNa6xOl0hILiYbx5Uc76YwwarGFFiTXOfIAHg7o6SrtZAbMibkk5VbUp9jzpvJm4Qbct1xE2G91ysg19I6ATUmRtypOga7i24ALAJstYJte31ARmJUrUaWwANBBlY_00S4kwXQCIJUuRuLB7YGowPA3UopTEtEnysX0XbOR3KWDTR1CAYAyb5WVxo9QAZuHThXGpVGtbI3EiEl11bWwWCbzgIFfIMnt-VnGUCYqQQJI2UXVRVApi8jwFv4rBUcHOmRM3kLmM4IB0kiAfqde6oc6C-bgzhNHAQZuBfe5UCsIY6zovhA4cDqJbNygQO1NkCQLSN0axzDpMG2yqKgNb2_IKzcQCNRPdHhaXXBwaBKI4uABDb3yTdQPSMmZdH-oqWlWZBEDu5SeNSbHOlo7QCPdSs2VmDjr-mD4UjfGqBxBgxETIwrjN7c1-kEDBNlUVpyXSSSEwbOmZ3iCQLrtx8K9Gm2QDewvK6MmBLX2IcVj6KNcA10gEYC0Mr26SYGoqNFu8Z-FBSkSDcgHFrkqwWmW2zv5SwZnuD6kmx4hcqFdGkuJEzhT4F9aHNH7VHTifU2SHCxRVKVW8aoGFqftm5FRWMfVBI4wtsle81AHGQZ4V5Q1HU1jjH1Li1AeJEiflU5JknxIthNZOHwJIHwsugE6XWu3MrIDaobYExOd1n0Ua4F2DY2ndPFWBLYkTJzNlqeChjtDXb4hZqKikItNtyppkAkNeG3-FqVhdoAgkfbKlroAPcBtm6cUXpiTI-mbFSjQxtiSPlIXxopggSYK6xz_tdhsATBXSVFgdAJbcK6OHbEXvMK26onH_dmFyvi-lmJ8LkOcdBggcyOUy3trAJwbK4z9BpEEnPCjZ2OJwdsFNxVYOmY91Ew7XGSD7rVZsWa4gLUZUZ9UEyusQ5PfEWXWeM47US6NMbBZtRLUdUEQPC57rZw223uVUQrQDpdBPIXLk3x7JDXEAbbrEq3odRxlaJ_Yh1zETnKX9rjncgFE4puiLkn4WK2UP1GLrXsDMItIjkqWJbh5BFxvnhIz6Zogc_Cun400xBMAcozlhmutEqxDs0xMkmd1IHBBkTHwtyAmWYweFmjtUCCqokdvJPiwUsSkc4TAPypCHY-QDghUFxOqVQokvgEfZBdvdcQg7UD7IOAG53WaK2BkGPZa3TSk35KBaj2i9jGwQc0y0QUDPlpxfCAapiRFolAWObMzhBQODhAsUDu2hABBFwgJJAiCEHMzcAeyB3ERaZ_CgZti6w48yqlFpiRgbq6ijCCJG-LKw8UJAaAcJiOLmkRJPsiqU9QAI_ha1Kq10tPIwr6yUkXg_cLHixwgmCjQzIiVuYEmJBus2AQCYLjdcw5bG4IK6BbCyg5thymAtIF1Q4cCBBEjwrx7FYiYiCt1jzwogBxhZbLAdcygIMNi8q6h2OIFx_wpuBpDfq9lFB3cQMEKi1Nsgg2K3PExZoAFhhbzHOmm24URzCJnBKs97c76oDcrQYbErFdIdhBuVtSEkSdlmgNcSJm60HaZBByjly9Enu44U1DzLYwVZVicELWkhogibfhVoXCbRCJiNcALlWojkj8rNVdgIA8rcSrC-Vuds4edII3PC2yeYGLwnwTcSIIPwudDB4icKBXHuiZ9lK1IZpGAkW8Q1wI3VZxwGkibouiSHEAFZq2uAtvYwkYEnxK0OLtNyJsjUicggSLqV1qgfO0LUnbFcG48rTMTeIdwsOsc0asyfhGOUOKcTf4RzFpiL5yroYXaElBdjZaawwAkjkKB40bJAW35WozVIG5W5RxiPKBmAb5VFG7g8IFvNh8q-gh8nhNDB-0BQNMC6z9HTcE2C356EjuPCnosy4t91qB5lXUwxaA2UVmeyXTnwpgXSRcLNDNv7qCgCoGL4VHbmDdIHa6LFaCkw6_3QHULiyANvdQOBMqiwIDVqJREE8oye4v-FQQZKQBxulC6lAoIPumA4KmAg7KQFzYgXWlCbiFLQw5j7KIBIJkhFACNkWjgXtwiQsEkouDwESmaIGSZW4lEG98bJoBtPhQBwIwoEnS6FFEuMoDNo2VtR2okqDjfYlFdGTuFqIMm0BXQJjKzasSc5RohghZoDTOZKQOGwLGPCYAMmZCuDskHPhUcSSQLoCY05QTcNJCgBbeZUgLSYstD8Rsq64Bhu8edhK_VfiCI0lsh2XRIF-EHk_qVUCjUpmCHX8hKR8P-s0msovJddvcYEELlv6d-NfF_qNYvpOdEHABC5cve248Gu9j2gmQ-dJ2BsuXKK8asQ1zpu2bQsBnM1yBA3Kg9P8ATuq7w3ECxK9H8XLOqPomNOgPOm5EkL0xmr1KjXANmb8KibwINr4gYCYvabodEktjYXUqeM5d3WJBzA4XG0K5kOAiHG8-OFNdI1dFR1kDbIkpx9Lj1unbpIJlxj9oXeesR6geLAw1pEnlWeKk6o97i0NACUTqhz6doG1ln4lN01AEQDDgN8JfNUW0XMLxEgYlErRQDjUMh2wlLP0R6HSmGhx7jOmYVy_StL5LWvEOkSYF1WLyxWgRUc2ZIcMRcFE_J6_TDSWhziLcSq1O13giGuEh19I3Uvi5283q6QdDSIiTAXGukfK_qnTPLX2iXQ2y89hHlU-ndRLnamloNlix00jq8w8HUW2iLLK9noPOSRn9qyr1QS5pAyIuUwN0dRprODm6mwRdbHoUgXem2AGl2d1c0aatVlH_AC2n1KkTJsCJytbiYd5f1T6Yc1rgySXA3dzCbnqY1dK6axGslxbiLyiVoLS9heYzEiy10OYWg6BLQ4QC42C55_6ljzOuZNR-oAkYcrWk-id_huoadRMCCeVOPqY-mo1w51O1tibLqy103vdXsYBw47lCt1Cr_mQ90uECRssxhsq6pdpgGLtBmRyukVZjC6gNB0tOZ3QWptpzgDTg8lHPUurcX0XHBF1dass8YjXf0lBpFSXPdPaLq6ruv697W0uopsaK0aCHDAnK58rUeO7rDV6v1a4ZVo2_bk8LPrT1XdLRbQLntbT9Ruvty3aFqSLHh1f0R3axjGhpcQJdj_dc7xV6XQ9H-n_p36fWY-pqY68nYq5Ir5D9U6im2oC2C0iQ0bkjK4X1ueoM6gNpgafk7hQY3vh_gZlZ1cWY9zQKpA8bhWFaaAa_9tzglV0lXpiHiRizSCpWhLwDAkkbDCxVjb0bpcRFgJVN1Sq71AGgwHcqaYywdMHI4TVbemJYPqm8gwufI7VcQWhwFz4ysNww7WNBEGTMFTsaGftB7RAtuqNvT0xyByVKsVc6G3EgjMLHcdFLOmCSDYmE0zF6RkaTeMLMbaQ4DwRnytfROsQNRmwUSs4cIjSdUZWfEUkhgiSckLfxpkqCSTIBJyuYjoMEOu1s5Vy3wGlVtluqMpJRH1CCDtKXoPaAZIjlARULXwLjbdRTMqaZa11iZxYo30D3EOgiyMVZtTTaARiVzZoQHC2B4hbiwtQkGDYm6ugSXQeVQaThp-ojxCyL03mAZghVvZBeYuQDIkFC1F7obxO4WGZ-waC4cgXIwtzpDN7Zm8WKetSbGik0gA7HdVcbemcGnABndbkc24CciJGxXVDEaBG3myzVpWVJ1Tf8KajngxMQfBWtWI1JDiCYss1VOndcDad0lGmQfptbiytGSpYug2yuVEWjUJbg8qCpFxyOFcblIXBhmQDkhZTVWP7JBiwPctyIDS4wcWXTEXdUilBnUNgoM9tUjbK5dNw0EXFwdlFqPUGagz5hTHMWNiYIgYDlFjgJAuL5UxrdK2deBYT7KeNeGawAzN0NXaXFtyccLXUNWpODTMTbdZVaxIAj3lM1MijBq3jTkqeGGe45iePKn9prmi8zM-FVXAI08eVmqvSJLR5W-MxmtTSJkjbZdD-jUjpIdkeQjNWa4X7oC2ydhgC8oOc_VM2KzYeEZOrnkrnjUpmunY-8qXp0doBuDEX91fjP3HBjQZvH8LHawwbe0--FdVcHSY0yAgSZMmBeLK1F6bpBAcI8rUYs7MXFriDtutJF2GG3Ntl1lRzgNAbcE3UrKQNpuLwsyY0oXgB32V0Zq5MzyLwuNa4lZJFiVNayKTqyi0saYj2yozoPdLYiUXS6dQGxlStOcSAbYUCi8kyN1Z2hjULm3kElbTDyHAQSpVqg7hIF034xTSfUvAVZcC7VFsoKtFwScjHC3AwaRqur6OiHZyszNUS-W6ZhDUQHEDwLLKGaTuqDrnchAWczg_dBRrgW2seEDtInaFKG1ETBEBW9gsd-brNTHGcjCRcSe6HQMHhUGZAEyVQxcS6Ljyg53c7_AHQGmO8GwCKsw6oMQQhigIBtdWiYJdIt9llHAECJkjZB0km3GVRYdzS05CAXmQBPlDABvAkIYtTI1E7p4mLONgFpAF3cBSDQyIsLqpZohoFtxdalpjnubFuFLQl7k7YWVUbMHHytwJkmyl9DNF_HKz9DOM04P3VtEgAR_CkDadJtEKhiIZINkv8ASfTMbgla49KdzbjSB7LfSQNJkTYzhYUS6JN_CBGiWwTBVDtkZvH5RBadQnjlFM6SbccodU9OoLWHwuk6cqtkK7qCScAwEBkSCT8J0WHBBnZViTsXPDALK9V0khmvlmSCquDqFgbnysoBmSJ8rRTNaQo5XsxsDuQoYM6Ym_8AZaWGcLjgqzpqlaIi60xp3WCKg5kk2OPsuVbhTZpsJUBB2ki-yrNq9NwObrcrOqZH9lvR0k-FFwWMUqYBaAZixCy1ONCQLHPhStxwBlGnNNyqgm-RIRw-i3gLK2HbaeEiEiXGMLXawSNIthF34QiwAymuvw7Wm03haYolsgcpWS6cG0-QstaLXRImCi7hS6Xb-6jkct0mIC3g4cbJi9G0yQIslNNJlIsMZdCSJozOJACK4y2y1EqulbiGGJJEoCHTsZVHNJbyLpo5wiTsg4MJvhBQCGgG_wAqfT6MfKoMQFPEp2mDGfC1FORjYLQDTAMoFLZI8oJvGkFSwFtnSsfQ4h233WtALYEFZtBDL3K1A-jexWgCNIlBIuJODCgemCX2wmCswYj5Viaduy0yYGE1Xau5NFI3CqBObJoTkRnhBwaYwoAWmOQgIICYOkoDp3lLFdqIU-I51h7qKUEyLbo0a8YhAodqQEcG8on0QZ_4SVLDCwB3WkdIkSn-hSYUoEgEEjCixxbMlCgBDSiGATVNKL_pTETFzla8ToB8LOkKfwjSbx_4Fm0KQY8J6CwkGE8U5vaMcpqBpdG0KzwBre7wqKkAj2QJAAzIQTe7UZFhG4QKdRIusBxhXR-GXOEt7RFrL9d-IeTpdaXYnYf8oTt5H6o5zKjAxuoExfKza1OL5H-paNcNNW0bGLErHOEf5_8AqBq1KztZGdrrn7Onok6fPdaw0y6XCGmxGy5co3jznt1EEgtj_wAlc6hyXQ0NPwoVq6YD1Q5sxkXXTgj6foq5fSHcAAMleqJfWum-PqmTucBb-ngPqQDDrccq6SuYwenMjUdgVilZH0ZvEFuLYWLCTHNaXZJc0ZKxW429FRj_ADAIAEgFb4xm9vTot0uDnXNyuv1J41OOlpGqBuYxwninpnsh5mRYgwgozpyQ10H-yiU1JgIDtIANjKEF1OJbqHMi6b8VWhF5mxBkrStNNnqWmWkzIUjnW6nSLabjkwB7rTlq3SkteRJbe-6hXpdLUY0ggi9zCrfFoeC-mSHEuntOzcrNb-vLIBqO1SQCdrrFmrvbzv1TpSGEkjTEyP7Lly4tx811jPSa0adOqQAf5XHk1HmgElrgBOASsV1aKGqbmXCfZTEbGvJgF1toUVbpyWDTBvceArP7R6_TdSwU3aG8_VmeF0lxO2fqXB5brJ7T9IOyze1er-mVBScSS3U0GGm_aeFZkFKfXN7XmnpIJIpsP7Ve9YPX6gva0tJDZkAjCzVw7acsdBBBhwHC1L00y13F2p0RewCzdowVdTakkTFyBlXzset-ndY8enN2OsWrU5SsPdpdRpdo1QwYkXlbG_pwalZo1BxNjspIx9bKdYOc8NbLufGFtWhlQu0htoFtSUWDItJwDdI5qs0uZpGfO6uOmsdZga2oXRra22kWiVi6leW6p_i_Vpl7cSHH6pGwU9gzfo4d1_VltcxQp91_x8rE97V6n6m3_EPApCpSeWgCBkclapq562kzo6tJ9NocwXqNF3WTV9fKdVWo9QH1uoc6lSbcU23nhcrdbj5_resbVrh8aXNhuniFyVKqSGk24spWprPyQ7UCVlV2BzpHOLWCdlnTZSdP1Zi3C0s77VpiWbyCclV0APLmkRxhc6RrouAYZ7fZTaKMY51h3cGLBYXT6CxvbMzeeFdFm1A8cXvKlbnioqS2xwIht1ktw4YWkbtnKhLqtBwDZdEzylab-ndruQDuTyp6HEkQ0zfHCxa6SruPpMDQZ9vKimpNNtonCgu12kk3I2sukaK90m4sblZwZ2jvJKzYyuXTEAjmd0XWWsQ4m2kf6VFTrVC4AhsHlaGZ5I2B5UygNDSQcDcGyUV1NOQZO82V9EpLRLTDuIysh21HAyCLbAKKeC8CSNRyiOfUvA2wN0wXZUkFwkiLmZgoJklx7geZTAR2zaLTc5VCkajJJ2uFFUc7UNs4QMxxI7xHulQuoAkY4KmL8xwcYAzJlTxIYZIKR1kxdsBotcDlaK19OfpsIzJK6ca5N2okTPzGFswXulolt-SiUJy04yoyBdpJM2hFiNZxaJmfhGjtE6JMgKC82IuRvOVbRndUaCbQBYBcqEJLSSR3jkqBy8EDc-F0ngkWkODhifssCzD2i0bXV0P6moXE22XSXrscXay4EzAypRPS6mDxGy5N-KB5IgFF9Z6mT9Q5lKxhmPzbysrLnThOoQCI2Wt6dDB-kgjOFy5M30znRA_Ki4qx5IEgq91VZBEkgkDKsD0WCoRYkj4VGkDSDEkcBZA9N3Nxe6lRRoLcb5VmVVmHUczHws-i9My6-F1kTNaKZMQT9lpny9GNTA-r2RpRsjFhutRzpiXGAJVRVrSZAymBngtsdlixqRKNBF5XNuuL9RvIRnvTgS0HfhP8bEQAW5BsshmuzCoJkic-FBUPhsYGVqM1QTqi5kWMLrGF2iHkCF0kQzgYGCRgK2ayHpy2NysWKm9ul0CROYWb0pXtBm2ryFztaiBOItfdTGt_Zi4F1rDZWds21xu0kcqfU-OwLRM3lTxr0HQ0EGZWe13pLVNjKpv6FzYl3Csxp2uYvCuDgTtdTIlUDozwr0wbJaccqoo034OZ4VQ-s6QJ-VYDTfpBBz4KofPcSIQpC2SbEjlZquJ0mBIjlAAO4ShmOJus1YLdW8D2VnhVmDSDN_IRkWQblpjZA-qIjfZUcyGjBCgZ5tfBtZBN5a04Jug5moC1hwbqghwJ4HhBxdaRMeUFaekidlKdmDotEzZVZTsJaIGIugAhpIyojtWkeVQWjcY4QMb4RDZEW90UWGCZ-om6Ko24GysSrCLAgzujJARqghQXBhgGCtQNBPgxnla0KARNrJYCXge65_QXOMHaV0g4CxKl9wcDNpjdQGo6198KUK18aW2tlSBpFxdaABg4wmC1NxLYiVvixbhwSHzpgLZoOkknAncqXG0yO4GSRwNljQwaWwYvyp6OLjchp91fKKNh2AVrpK5zi3JkeEquaThthykrFjQ04GBuV0ZcalxAOMC8ogiM7oKMJiJneyCggNBIPygDHQSditRs4b_q-Lqs0p-mOcrKexamdQvKJOIuvfyqVwgmTvsmMw0y7Cs7brg2ALKzfrGAe4FaMI-5nBjBWaviLRI_3XLtZdPSaQQJsqxYq0fk5W4i7Gyf78rTQOIBTtNGdMJVoABwMiTsskuJ4cR-EdN0wkNmVDSa7wobqjQSIlXUyaZrtLsfKM8vTEWErTOEBjZTQZkmBZEJuVK7QzXW8rUrn9DUbTslrUgE6-YWIvhs4C050Q2LkKyEGNRI35WlMBG6lZdJwDZZ9DACBButwMwX9t1oEngRwVlqObcXEKxKsHQStxHRbUrYC0y6cBSgkk-yyCZOAtDmOyCoHsZIFggAdK1BQCwO6m6Cw6eSVRadQjhbCEg-6BZtkBBN9rSIKgO87LNq6oy88K4hnOg2vKmAarYWg-sAc-FQlRpm0ndAHN03wg5lQb39kDtIn-EgsDpsVdTCEkXlZIDXXEK4qhK0lGI_5VZdMG1lApcQqGDiRZQIbR-UDtFkBiUCwSPKlVz7xdZacbnyqgOMA2_KKAOlAQS5AQSDEK5qUwN1WReQSLq0T1WiFzBmMCVWxmHe6JRIEZyh0EjHCKIKM0OE1HFxiEawjjaEVGTzdZ9HOEiZlARdoiw3U9DxJsEgawC1_gUOtwmjrkyFQHTIIMFAouFm3sKXCY_hMC9xVwfh9gJZTpkywj6dgv2MfiKHTOktFjYDZZoydT0Yq1DXgMA2zdG3zn9R9O4dE5hbqfnT_CzfFyv82_V-kMOLWaAB38grjY7y5HyXWt0uJcIbpkzuuVaebU0veTA9lyCMdAi4MKMrUnFlS1gfK1Fj3v0t5kkW_K9HFmevRNWYDnEmJFl12l7UpntIBBEY4Km1P7p_oIBABOTC0vRdDiJm5WKzf6Bg1eDOAsY1Ho0G6m37R_K6cYrc1oe2AY4K2GYx1TU15OmJUFgzS0OsABabomr0XFxbDr_6YsLIeuqAdPBMluVelTDw9uoiJsAFKKU3NLQHOmYM8Ikeh0mCQIIsRMyFqJW5jzBa6WxGcH2Vcqoxhpvc4X1A3BsVGdbqDWtpBujS4Nv5Vb3GlphgOghpsRNz5WabfjNLqdXuuJ-oKY3P2l-q9OKtEuDNLcwTZZ5-dNyviP1Kg91fQJc3OogmAvLXSML2iLNgMOCudb3VqTW9x-rTgBFMapc4AN0zvCziY2MpanNDSXCLlaVrpUxSbAdbB1H72WsXRqNaHgxD4BsmI1tdUpVJpgHUImNkkwUog1XBzjAbeALqpjRTe8hmDIOL7qYa71KlNp37oAGVKqT3uIIJcA2Bm11Bgd1AdWjTIBglpV3R6PQF8vDG6CHQJNh5WpWH0HRumhrJl-qIIv7rd6K39NUc8GCLOi_K1GWzp3ML8hpAiysGtpNVzdLYgw3yrjNrUyrLWH6oEB04KYyLnBtRsENO87o2zVahioC4ub-4DZZuo8Op0z29QatIjSRpAjuHK5eNNlBjafRaKjvSc52YuYV1HoN_UX1OmMhwDiACG3tsr-WI879Z6g1GCiKILqr5lpgtHlTlVx8f-sVKlDqHjUDPaG_6R_5_C4V2eSXy5pcBpJPdN5WLLO2sh6jS1hhw22VamfEtJAyYmbLNK0ao1CQLDKeM7-2im3XE_TFiVZdbmKuLA4AtgnyljbqZ07_AWOhv6d7TRMiAN-SoGpk650ww58FTBao0uDS3DSmLD9PEHnwVK1qv0EugNIGY2WbEvarHaxIwTyskoFg1CIaBzujb0GNOgNaIBwpW_wAVg_0pBgDncFZT6uyoHXDbRkXWW4em4sAbclaxvFTqY0Xt4VCDscJj7ZUNR1eoC6IvBss9mC9wPdBgCLoyi5sGHGN0NSNUAuDRPj42WsVncSKjziM-6K4Os0_VO5GFj-xSqWta0NGqREgqyCbn6SJHyNlMDtMtJgn8SsjqQIOogTtJwgZoBfIBBG5VFPpcBHbH7cIKgN0Xg2-yDP1FxyoDTqkkwYsgpoFnCCAYQUPa2RJvjhShb1BeFJoTVfEmcFa9FGk3v5THWKUbNxc3jlErXScGusdsHAW56zW6lq0AGeV1ZO4kMIJJnlRK44E4O5RC1I-k4UaxJ9SXWPi6gNJ41adN-QqKOquBOylGZ7tUtXOhg7MCCUwI4lp1AELXzBwqlxA5z4WcFajhYncSIUDtLg0mQfAzK6aGpmGunOIU0DUSYFyU_FdOCW8e6iy4R1IkScuuAVMUhBD5mItCxi4s0DTMzyjSRdEAWC5_Ul0B3FuqRwrf0rTq0AQNQGZW_Bxkw6IkTZZ-jRRqdvgWKuouKjdQIwLKYDqsIyCsfSnYXPtlWfuKtRzfAzKsRqu0RDeQtrKqDawm91pINNwaIJBhBcNBAMWOyrnRY02Cv-osADz5Wt6Ace_chc63KnpL4E6Vz6i_SuIDgCZAU3tpYGGA3mMFUEQBzKzIhiz_AE2TtTMzJF1NwO0REkEfwujNaWNGB95XSOVOZabCfK6QijBLSd8ytSp9cY1C1-FPmriFf6rAgcrlWknguEE34WcjphJaIDhOxWKGcMDYcK7jn2XU7WBlw5UXwapluASdlL21EmN333U0oBsum6qQxlxuZI2Ua0jnBu11fFOw2uCiCGlsTlMMVYZ2B8J4zYZsXseIWmRcSHRFuOFUFoDBOb4VgoTraSAJ8YVCgkkXm2FkdUe10g2PCKi6oTIjAss61OJ2PLji4wieKmQbRBWkVAsOER1yNjygZlxm6By4gSilkuaYIF0Qpu4gySg49kzcT9kUJgm26LmH0_SBgqMqMJDTawQOB5NlRSDpm8-2UHQDsbBBNpc0ukwgoCI3PsgNri0lZ1KInE6fyqoiQ_uzOQqqpnT5V1KOu0E35TpILjB91N0xaRpAg_daiO1H_T-VQ4O4BBQI2HuIkyFiGKaJgk3W5QXXtnwFb32FmWkgQVmgF5cBNwDZZHaJcVYKAwI8QqATDo8ICyQ62dlvizZrQy8wc7rbn4So8OmBhYvUdYmDBEGVmKrq8LXgUG40yRspVPSdcxbwrP2hql4ghN1Mx1NsfC1PSrNM7ALrGcAOBdYwWqM2YpxAUQw7D8K_FM2HEarz_soh2gabq6qgHbsqODIAN0QRLZ3lKOIJN8RMqRmmAmSd-Fpg4zF45Rvdc8LaEJki4uiuLbXv7rNEwBOIKxUnpmNAP1SeEjVWH0yR9ltzFr7xMLU7XTWzlXEcACFmtUuNisp6AkuJOIR1hTYgDEI5312nbN1MdcVbgg2I3TAcNvYquXK64HVbZEF422Qk0rbSjf4ufGucDCN-O9v4Ryy6WxcL3UdI4mHRlSA0wYkLTNh42_K0y5x0ujPlTxkpdBCd0UaLA4OwUnQNNs2lbi1oAGkR7LeIlVESMCVhqHbDvJViUx5haiDF74W53AzQCRtZSwDJiDKwC0R78LXwEAap3Jv4WQTJsgo1ojhblXHOBbi4WUEtgcKwO12ldAZBwJQdbiETsj2xnCikp3BWUUDotFlao5gzhWDpE3Sr8K_tfbPKzKhhVBtcrQ4wVRwFpGOUDs7coG1iYKCTqsugX8oCCdMBBdmBdXUUcZGbrTKZEhQCMXCKMmdkQALoHBgCbBATYHygUvi8wlBBDh_dZaAC94QcbjkopTCA0zCAk6pyrErhPwprJiJhaCmQcLKwYB3g8Itcc-ysRxIjClHN4x4RdEtINkR2khEAm26NQjiCMqKkREkhUcWW7TCzQWxjhYBJh3hbgYnaZWgDE3usZoBk_SLq-DidXskujnDccLOCbW7ggrcAIM4Ko_DnTvMdpJJFwCv1_H4iz3Q0SNJFvhToAtDmuDTclS-rrx_13pfWoECx_wBU4Ual77f57-sdG9sueAdUtgFc-Ts-R_XOhb6JeRobgNdlceU_TpPHy3UAeo6DcrhU1AN0wHG4RHEOc4ReNlZg9_8ASeojp2tiHNE-crvxG9tUVWzJkYK7CocHATbmP3INjH64kxsFvEwpYS0m4kxBKxYYkbETIG6x9V61ANNITOMroLtcCw7iMDKBmFx7TquIGyo1MqCmwT3Pbsd1lMNTnXP7NzGVo_wP1B8ERku7mqJ2gXBo1xGbE4UadQ0amlhLmkR3YKqPU6WXPeXuAGCQtpXr9NcAkB-17gI5Voc0WaCJH7QLj3RF2OIGprhIwEdvxlMx7y9ziQRFwdlEyRRtQVKjWyGjwMrVP6HrQCxwYySBvj7LHLxqR8n-pUu4wQHTaRkLx3jY1rwf1SiaVRry8U2_eVm9Nyo0KsTBM-LQudtdfi1NzjULXOibj2U1G3pKuhwbBI_CsGlnUim6dIqX43XRKan1L3vcRGkQXAKYRv6Y6wGN1BxMAi_wtarW_ozSohjDd2TdJ_bNTp0XtLXRN_2nCajq1V4eJ7TwFGox1apZ0r2tIhwlz9wsKwiuKhbMgnYJJg9noNQqPcXQXNF1Yj1-jqP0kuzOkXWr2xXp0KjQ240jknK6TxGqjWZUbpa0DkrXzUrb0mprWte6ZweFZa51tFMuqOda8NtaRyqKHtFwQAbA7qV0jG4mtX06oE7DKnal6unUD_UcWtbJNheIws2fRm6RgqENr0OwNLm2k2ysUFjHfqXo1HA0xPYwGAByVfEJ_UbaHTt6dwc2k-mLvA-oqXFeDUpMqCoS6m6SHAuC5Nz14fXUaLdbmwXsNmgWMrHLcxt57_UYCAXaZyDhYWUWP9S4JG0G90rWmdUGruPfgeFGI3UXjQA0iAJv_ZWN-HdV1AS0E8pO1lNQd6h2EG6Y220nAix3iP7rA06S0mHQAAgYVGgRqE_6TupRWmwPeRcW4U7WLFjqgAbng8JXQWVBSfcAC8QFms52Iu73_K5tNtJxaBcgjM7ey0pnOGuJkeFLBfp3ta5skxFgFzjXFpYC1298eFdb0jqrwY2tlWmlLnNAJdJNlKpA5ziAJ4N8K-qoToaDuBB9lMZxnqPBDo7if9WEwYiH6yRIPOU0CrVLyJGjScK4Qab9A5aFMaUDg-7u2L4wrom4WM3KYKMOh42tdZsKIdDpsATCyHFQCGtu6LuQUZcGSSI2wFYDr1tOi4G6UTdIJLnSNpWQoLQciEFWuIJ1fjZAxlzrG26lCseS-CQLZhPATpN3GOYKR0khmMIdLvsrbirsMG0IrRRDjPcPdbjlbW-jeDIkyurDnk2mwH5UFGOa5kk3HjC1_oLgYIyQJM7qfF1kqvZebQNsLClaQ6wPyCnaKH6tMk-YQ1F9RpjaP5UuKX1ryQZFgFGVHNJBzOYUrRRU9MCGCR4VvhirXS0QO0YlZFNXpNccGZErQGvgSZUgenTkOJdG6t6UxBBtEKRK5zi4QOICpCPOlt4J4C51dc1xFO8TOOUjXZS3Nib3vhKvggQY2B3XKyrqvpudJER4Wpf2oteRAIOnYqWM5WiibR9R5Wcq7iojJNsXQxQd5F5HKB2giLEEnEYViraYfmNJj3VwaNdhaAtClN2p1jcLUDhwG15VYuqMJBhxybrUYaWltirM1TEX7R7lW3UcCC4AXAuudCVCWQd-Fzs1uXUjJEuN_Aws2NqsNxewVgqW6o2_uniOgkgAwVmoDXwdjGUNVNS0ESIxC13q-tVJ4tIj2XVyUaZJMLcQ4cA4A4nAWpe8QpMyYJut40mZmZIA2WLBMkSbrk3pCZkQIibImG06xFxK52kv7JEe-ZSdrY6xM4H8lZImTpuSFPGierpmRYhaZGneZdnfhZ7XAcATaTbK1O2hbOkEuvCvgZpzcE-SpfdgoHESfp9907YtEEwY334Wowp9W9o_Kob0ycGAtDgSztQLNs9ylAMOGYOCsrAADm8AHZYzt02GaAbAm24Crms5xGBJIGVqIYOE3OFR0y4wQAoGs2BtG5VBaXA7-2ygcxGb-FQlQmBeZ3lAQ-RmfCKQm8_yjVvQtda7pHhRhZl3ZgKi-oATFkBMaQc_CCQqkSJhAxeJ55QGmRMTndA4OomBIUwEvI-kGTwqACInYolWpu1fCSIcluiFcCtdMwZUaVY6AZuU1KJJBmE1BB1WmPIVgYDS69gM2UXTteZ8BIjmxmTK2A5xIMBZoSmXATBjgqB9Tsm3hAW3cCrqDPed0qmaSJg_PC1tgq1s4EGNt10l1mxNwIBiDO3CzypJgNFwbz4WY0sAQw8lbBDZFiJ2US0zWRg3T4k7K46TySpuqNF0WMBdOJVXGQIF1tILTFztsozXdxvceArGVNQiCe5aU7XAgR91KC03gqYi2BgoX-nNdGo3SAkyZm6UPdok3CRLNCeJvytOeHlF1xfIMrp0am0aiVGlJnCllo4kATYlZqQpEuBARrkLTm_wjmbWIvhanLA7XtgRcLe6GAg8cLNgV9OIKziwpIgiN1l0lc0QBupKZKNhj_7V1dAOh0QpqXxQntNplXXJzZnGMKgiS4hBNzjKzrpLrvqkESq24TMYKJ6U9wJAQ8BoMgkQUgZsalRUSbFajmM7ImFLL8qIZsyRcqb2Hp2yIW4tX1DTZb1EiLSVFNMntuiHaIBm3hWDtUtK14OJiRgzZXsNfVINt1gBsoGmd4KgZg7phBQHJFh4V2rpHkjBuVEO10gBakHFxK6BmnYQSUFQ0RfO6BKjZYL3nhSiIMG1lBQOhQFp7bG_Cbg4RqEhNX4NQagYkIiGuHCysFmNETYytBx2i9kAc4xZBzTuUE3zOPsgLDcXQaWGxi4VgOoGxKrDsO4RQdfKlaKQRdWM0dV8fKGHJAAMSN_CDnSDKagEashAQ3A2WWoJMIpHOEk7oEkyUFBfAQEAjJV6R0iY_hRMGY9gmmAJmyEGSBAyi0M3RlwEygIE-6K50hXpABndVQJMqdNFdfgLNCjiFKCXAKBdSmACQYmfdUOCJN4WoAXDVkH4TwGfhS9hZ0kTiVnwGSQ4_hUKYDZ_haCG_Ko_C1KppYBYmIC_VfiNbG6rkaSR9lrEv9I1aZeDtGRypWkOoot6imKbyADgTf5Up9fH_wBS9Kabe0T6ZPuVix6On-f_AK-IpXYSI7wOVw5Vp8j1IkyWEDAC899GCr9czaN1CmpPJg6fklEj1P055j5vC9PG9K9KjVEy1pBC7Tsa6REOOYxK1GZq7HSBERuStKp6n1Rba6yoVQDcEiMArA29I5z6UuI-VovjRSJkmQRi9pVPjZT1AAOs4HE4QOQGkkuDd1nBfpaeqTIbj_yFqJEOt7qosA7Gcpf6PWbq6YeSRJGIULqvTAucyWgNabBDXq9KwMLgCRm8blbR6nTOmr6TbgCzkcb60XktaN8nKjchnzRbJiS7crVdNZm9a8E6SIib7-Fje06avVDQHmzoxwtVFqVf1enc5p-rnws7rcZP1SjRZSLheTBkSZXLmPjP1wNhjYJfMeV5G4xNDfTc7SXPNilrQsEWuCIIlYsO2yl9IGsueTjCsbbnVAYAEbzyPC1rPpaIc6qBp0tsrCPov09junYAIE-MLeYtaXxVaRJiZyn-onVc1rAAQ107G5WUed1sNdP1Ab8eFFecJMyQNJwVlpzqOsw1zQ43KYNPR1HNeA12oyM8rY9vpqzmEy6XOOxn_wCkc69am4u0EGWjIXWRG7pyAdTQQ07H-yJW3py0MaZMxuLlbnjnWkVniXtZM_tNiFYRreHVA0ud9Qyq6RiDQyswOvB2KxFbKrh6boMPJgAbKXzoefWq97u13qNOkGchc8webU6j_F16gqVHA0QDqxbiFkZf1Q1Or6kMDtVNjASD-0JmjO2hU6h_qaQzpwyNTW5KzeKyvma9bX1GotIInIsVzre6hUIY0AntcPysWY1hPV0kSQBM2CyuKejrkzY3lGpGqj20XYhoiZyFL-0oerdoFhsrLCK9M0ardwyZV101tZ2G1uQs-s60VKwim0W5ndS9Na5rwczI-0LPqt_TnQ0zJjjZSUWLjq1AgH_VsjcptTXfUbEzPhSoejqe4EWGztgsrGgNBAcTe5hZac89kwQTbGFLRTpzrcAXA8DcrONyNdOS2Bn3WsbHUR5JClE3_QSYk2xCnIAQQN5EcK8emtDqDoEEYCozEa3TIIjCnYVgJLSbAbBJGWd5iYOTedldAptlxDjuprSwBmCJbtCb-00kFkG8u-Vr1dM51tU6XYNrLNFaTdTWyRI_KlFKTQ91o1LAsWgMJGRYqiBe5wkDAVhCXdqB-BwlgBETve6yGOdINvOyCrnQ0wQBhZ9oQmXC0ADM5W7iqNcQy5A4EKN7HMPfmTyUzVUYYedRRWmhUDCTt-5WeufJ6TKjS0HdeidxzB0TMeyzevAWmBG5MydldXHPqEtNyfZNRB7A50xfg7rFCGGtk3vMqbQ-oinxGPK0JlkunaMhYrRfTjJjylFGXbvEZ8q_4AH91-eFcFmv7zA1Qs5g5zm1Lknj291RQU4Ei45CYBTbpNj8hKKkzYkHynwdOkX2tIWQrS2TMETELLUASRMQNpCeOgNFySTdTXO9maNWFz5LIs53bft0qeqRgm4vyruNavQg2EmOFbUWiDFlmhr6to2CitIIAD57uArmAB-p1m78oNjYwRJ2lbgowgmE1ja6ZLR-2eFo1pbLzpsCLrTNOGFoGysmIZjy5toO3stQUfxtlc6FI1tPKzGpClxa6J9lM-ugUyAZMErOirnEiTYR9lkEOtESSLWUQGzqIBhainYZNrnBC18GqkDMA28rUc6sG6bkrfrNdh8g3m61OkF41TbZdNWIlwAIMx7LOQBsPZIvC5qQ0pM_-FSwggFs7-FnEK55I8cqYqb3wGlvcmNcU3mTDhBPCzWwgw3j2U1nAFjyD-Fq4aZ5-k7RlYaBhMRmccrXgoH91_4UjNODJO4Cv-s1zSZMGJV0xVjhe8mLBaiKNdAEti6ulBxGbm-ZQhC4z7-Fm1cAicSSeVAwE4Puosmw7e4c-xVZNqLX5VhTMDYkmGoh7A3VCOeBMWnCCjMNBgyoKaYtlbCuGmwGDulgUuBbblYUmsCwyhXCzgSbHaVIK6hIl0FaRcOkRYoK6wGwL8XRKi8ScXUHAgwJJIyFWlA3V7oigbIuY9kCmJiSVB2bYSClJ0YIK1GVDBBE2UClkkflSGnaWiGglUF7rAflB1N4aD_ZWCrHEtzZWgtjUYupgcjET7K0F3sUCYcb3WQzRYSrgJNxvCYOMyDvuqao0lpOw8KxMVp2GLeTldJ4pXRMQbLOBCD7DYLNFGGQINo3WgYECM-EDB0iBYZQJUdBEG4QNTFyZVjN8XaIFyujBXPLbgT5RHBxm5tmEDRJki6uhmu5U1VadUEGwTUV1QIK16OLu08KYl6AukYjdRVKbpbwrBVswbrSWaE74RiOLr5ACF6dpvOxWoacMJ0zaFQXNv55Us1StE743WG_SuOkxFlQBd0KVn8TMb5WuLOdtNPtEkSujNGoDptH3SxWcy03XOxqVzcFYzDTNphpGf7LRoOZMXvOVMbnhgJaUxnl4DbZVZhxYEZnyiEcJwB91MdvgBlwf4VNBxLSSB91IsASXAi_hKU0km4SMuFjbC1GdUZebR7lWRmi5hM7cKVCiQYm6gcks9ymb4KME3K3F-LMhaQlXaECMc6cD5KCjhqm6sHAwIsunQIPypQ0iAsDhkwoODu3-y17RzXkkgBShmPgjgJA7u4F2yuAAwL4Wuw47m-FOw7WiJwVtapENyiJuvaLIJVBo8XWaGZc53TBQCQQpyA0QcyYWQH4mbq9iNputwUpug5VFRDpz4QAtIF7oBMN5QSc6UFKccoLUjFkFDdoutMOIgZRS_JPhZaMT2qxmgDBstI4dxuoDAJxCYGGeUHExdSrCmSNlGiEXxKDjA1AQg5rSXeEDwSDdAC02goG12iPug602OUSOyLZGZQogwMXWsZcJmyzWo6dJCKLipjJDELVAOM_CjToBEGylEzbCUFoBPmVn0cRHhZvQWbH-VoNlsqwAMJNzCUFpMEJApHcrkUS64m-yln6AJBn3V1AgnCzo_CPTPDCGOOomB4X7PT8RcVmtk8bi6sSOqVYeNPcI3GFPVZupL9A0BubzaVFed1lH_EkvewB0WHlG_yf5l_U_TihWrEuFMarBt_wvNzmV1l2PjOvpODyWukEZAXO8Y6R59aloEut8ZXO-pWem2GyBAUiN_Q09bpmJNguvEx7LA1mrUDMZA_uvRxS1am8GYAg7LpqNLWgC0gZklVpR3e0gwCPys1nTUQXOIiQL3WcaaqfYRYWUg1taS-wMjAAsqz4s2XEzFytzw1bSKjnDx_CytaKFXSIYLnnZbZ3EarB6hJdZoJPCLNrqMU6dyS530tDcfKy0H6fR9SoS4d5t4CY5ble90wa4tBkDmbyta1rdRpMYJnXb5CjlYR7yNJkgbWVdNhOsfoptc9pc0kQ7cKcr0zb-mDp3tMEX55WEb6bjDWjJJJEzZbjfFV1cURYxqFrYnKzf01WLraoZSmSBBPgrjWo-Z6rqPUq2Pa3xhcOU71WVoa64dJ2WGtTfId3EyRZW10njR0zTTeWmP8A9FZ88K2NqGQBZxJ0zhajH1opvDqktHa2L8rTWvoOmq-mwOBBZ-8zkLW-pr0JZ6bi0tLSJviPdNt9Hk9R1DG1DB07CAsjNUc9zTqfPxBWLVjO-mx75iTuXYRpnq1cFh-dytRKpQ6kNgkRiSqa9voWOqDW5ucQtXpivY6ciNLiXOH3ldPEUodS81YvAODlMHv9HHpWDdLtyVvHOxRriXyPqAmZuUwkqlEAvkTBtq8rWNDUqinUkHU1ubXlYyLDVax9Kr6nc0N7b_lSq8F1PW4EksJba-FzzsT6RjqD2jtLHOBJN7LPLJUrf0_oVeqqveyAXGSP3Hf-y1IqP6hSc7pXCiP8v6tM2cfPCmfpHzH6h-nt6UEPcGvI1aGXlc7G3h1oqvB1Q4RErlfXSEqOgAADV4UrdNTq6STIk2WcRXXqhmScEBPmLILGkul0MyJIWZMqLdE4moRBA55VqyvVDpZJN5yFmaUKulhDhcTslah6RZEiZPKxjeNdI915BA4yp9GkH0zaT7pWlWiQQ0GJVncSVVrgwie0WmFlXMqAuIk3vO0LNjR_UuWsi-VmrIvTEgXiMypHVsIDmgtuY-60J6iQXHAsFgI-s0tkCPc7oE1XbGxvFwgd8Rqk6zyrrTOID5IAHKvwTfUawuGkmbgLLKekm4A5knHsgDogmTAyBuUHB97TbdCCXvORMflbaGn3-x-kn-FPUXBIdGBhYqqNdqqWMRvysh5LnEki3KoSs4Edmcxst_BAkGb9xF4UFG_SbRhYBDRJNgJjGyo6pYcBQLcEgAEExjCDi-074hFOxrbkE8IstVYYFyBe6NrUXB7tOom9irPWLXrNDfTGTtZeidzpzB7ixwb4sFbASC6D9UiIKxV0RTD7ARG2ykmohWOmpEkNJS9CbQTcSQVBSS694GAqJ_uBMiNgo07VJJJvClCMcODb8qSAv7Gx8la1NPTeIMAg7RdLNVdrtbGk3dzwpjJ2PuLe4Wmjl04OlxtJQB0uEZb_ANynoGrVa52PhSzRzQAf-4wTO3ssVuUajdIgiTyFGtLTbqdG0YWWLYsyWmDMeyzY1OvTPeQYFpyspdoNbqIIOM-VfrUaGESAZsofTEzEXIvKhXU6pdOw5SJVtRIA_ar20qzUIOyckbQ4ObaQdytK5ryQCY-yqKgFwvdam1nWmm0yBhq6SJatBHjiMK_GXNp52VkFnMBERaFLxEg0BsTJFlzXU6mRJieFhuXXAEsgCTyVOmhuCLqWAzMkGIys0NEAGIGbqwUbLIOStDQHSRABWoxYsH5gQStxhzu0mM7xdal-VLDueC2YIHlW3EjM867_AIK53tuQus8XWQ-suIEiAtjjGv3sSoib29hInTxKmKlqAF8Cyjc8RquEiQTtZYtacDpA4mwQM50ZI8LPqEJMEagbWWvCDSFy2QDOyzYL9oIOI4SGBEgrXbOHpmQZGFauYsMHhVgzoAkWIwgBOtoIsg4RF7lGuJBpL2n4hZ-rY71dLokW8Kp4fV5CeRqdmaZuDdJf2zYqHDTn5VZdqc50WhEKO2xycIqtL6RqknwqizSQTm_K1KoubqEXJ4C6Z12zEXtiwyuKoFvcD8rNaVaZHcB4CiKU8DiVoUawgk_lQpmuLBDftsrEcdR3hqoXJ1BBcOkf7oGac8BACLxmVAKZk-QqKgA5P2Rmi5wbY4jZKOFTtgkfCgYG0k53WQYkbiFscwggiSBwrA4qac2AwU1pRthJJAOLq6lMXhzRJM-Fm1Ba84mfha-AR3Tf5UoYNhpEq-QGJuk80dBnBAGyBw0SDskgs36W-fyumCbiJIOZUsDNAbm6nobVpM2SAOqEDNiqhwbRHul6CFs9x3_Cf1A7bNufkKxm3TBxc0DK6Rm9HAsZJHgIgNM5x-UBBEn23QFpEDczumBmDSZxJ2QUJnJVDMm-48pjNcHDUo1FabdT-fdagrMTZUugBOE8YzAMyJO6uJ9UZUBgAX8phgjPnwtLBzf8KBWuEkRZZZjqkOAnAR2lTDgDcSpVUpuAFhafstRy-tVJ2pokkn2XSMX1xh2f4WqqbhsVixNAHSbrnVc0gElBwxYTyjruFGSYPyiW6MAowZkq1AeJM7KO29AARxCsYtB_aBf7qNwGwRM_BCNGiBBKOXMWwPKywrIImF0gD3AgnlShWGAP9lAxAcLqwUZFhj2W4KawwjhUcTqiYG6ARL7YVAsXJQ8j3HhXjQzQNMkLoFMTafCwA2cwpYGtJF_smYFI3WQ4MZO3CsD0jqK3A9RoiDn8LQWm-JWatWadS0hwZscBAL6jONkEqhvJUo5vKBvUG0nlSg-pc2KzIJuNtrK4JO9rcrUD0iB4VFgQJMFBxdBsgm6pxnwEEzDjgz5CgLXfLeFPo00jbK0lUC2ycwfdRSgy7EELDQkxnC1KlcOQQrqCGg4t7IjifOEHBxt_CDnYx8KVqASA03UUmuJAQcwyTPsgc9uyBheOEAP3RK4AmOPZE0S0I0BJB2hEppt5WmXR9llYVxcLyjTmu1eUwF-N0ExIcEAJvM_CyOVo4hc_B0w1a9CAzJmEB1XQM1wKAGAUHHJhWDpAKtCuvcSpANXuoP5_UazgTqPFl-z0_Ea6dfvuS4Hi8qDdTqOqviIYRBK1evD4Z1OHQ6WNiYO5RGTreic_pKjhdwEtCy18f4x-tOd1HXVmVWwGO5XDle3bj1I83qOlhrpa3ScRss2a6zt4PXsFNhi2J8rz8uksYwdQxlQaenqGnUm_iCunGtfHt0nBzBDrxJld5rnVmPhhLci8LW0i1J2ppY4ls3JWrfrStF3qP7sgbWsrrLa0MpEAyRGxUvawWdzpAIk5N1qQrSKvqPxbkbojWx4YRY2vrSCxqjTMgzNzuVTupNe4OBEmQM4U0Ozdsy45MYTAGzWeXTDm2MhMNa-lY1oDD-LI58o9XpGgV26Yb7FVuR6dBvqNJ0Fp5nKM01Si1zTG2Sf4RMed1zS94bp1NDROwWcZz9MNKiKbtWkBouI_hZWNXTQ86o0k-VqVvcaKnbQD7yDEjZZtXXndT1JqtDSCBqIvlca6R5HUU-5x_aPqWOSvLqAAvJFnNsODyuXf6WF16mgaSSYEuxCzXVakQ9zZ_a4-VfiVrpAtgfVJPwrGV6YdT0gXNhY_laTt9B0zAymDqL3xcATCf2rRVr6mhuSBqthXujyXPdXq6nnSBuBdTo9SFR7qszova2Qs1q9Grup0wdP-ZrMEjHsomsj5DaYMgQZ5K1E0abzqb2uB03GAqPb_AEuu_qnupuADgNTZste9lehTe0Pk2P8AK1x79ZaulOqrLSGhdOh7nShgpkhx0jaVrRbo3BxLjAAFgcK6lb2gkNEycCGws2oQ0mukNf3ACL5sl9IhGrW0uLgRAtdRpg6lzulrAv0ua6AdA3XPkMzQ7qXnpxqDg6WPAgD5WJNHof8A4x1Gj67j3tGkgGw8rpnWCVF7H1yym8htNoOtxm_suc9Hm_r3QdTpeZb3AnXAEqcpR8s_o2NoMkguA5E-bri6R5tRxaZEAQQLLOtxzc4t-Uaw7XlumJaOd1mdq0MqF0zMxYHdMS-NXTTqDjjSmMyPRbVFNxIb2zzukdMSq1Q55aQdU2hc_op05yYJO0myrTbRdBAyZlYrTQ2bBzSPMrFRoayGA3E42WuPhIenULgNQgjdWumKB2ogTvII2XOi_ptbJb2kn7rPTU8Frmtun10aWvs0AXG6q6iarmusHEQs4zUqhgEx9yoaOs6C4iAb5RVG1Bl0E2iEyDPVqF0tIsHYVn6XUKcuqNDjfaBhWeos-nAj6IM-IVuRGeoe6fkGViqWmdAGkoCasNm8g3KC9AF7Tsw5QO4N1NgERZStRWi0i4_lMPq4c1wdjULElBnLjcDEyOVpKRpINjAi91hT0zGJj3wootqRYnuRCvdDiZOOESuLoG5nMZRSAYLnAef7Iqje0xFvBujUpw_tgCQfGEW1ahEk6o48Kudep01YgWdZd-LJ6oLnAge66UHWGwJIaSsYijKgFpJkpiuqDU3u2UwQgSCPdMgcU-0Agncx_ZXJU0ho6c6ifCzYqBJDvHhcwpcdR4_lFogiLBWdoemTORqyrV7Vpv1GJgTFiqqosCSdJ2VAc_XYCTCzodr3RFmgYgJQtRzg6xifyrOgAQXgGARuVzrUUNUObwsloUjDbzcLKKOJYSAdt0bnZXHUAARKk79IpSYdBBEys72fWkMAABiVaol4LsSYOCsyJoNgtPsCrfSLUn6jLbSN1LutLgRYOyr1RelDmgSZ5K1NwVaQ51yriKsMOkHK1GbGymQ4TqFvC7awsIZpMCBeCUZ3GhovewyFo1z2lzbmPCXtJdK9gLbQD5K53i1KyVGwY7Z8bLhydJ66QAcugb7rPjXvRQ46Re3CTtTtgtErIZrtJjY3urBUiRItGy1gdhDYI94QWD4GZjK6SudODIEnNp_siFIDtUTA84S9kiJMyTMKXpb0SznAAHSp6hmuMzMf9oRBLhHmUHNFr39ypL23Z-kDd5GmPKzVzCOeWm20LLRXkkzZUBpkATlWAgiGtAsblS2gl0CcE7hA5AIFyTKsDNJ-nJF5VwODBMzB8qo0NJ0xt5RjOw1kMEKoRkXP4hEx0aSA6Y91l0hQRMxYHdGhk72BVxLB1xe4OAsanikabEStFFn48qIq06YkSFrxhzosRnZL4KMJ2-SLKjQA0C11vAHEXJgDyr2M1SqQJXOiLak4lYaijTcTGVYlXpODSqK5Fjp-Mojm5k2TwO_MiyoTS4g3wgdh42WUp2OyqrmuIuNxCooxgiYv5ViUzoggbBKhC8OHlVcdBAmdJ8DKzYhm1hN-IUXBB1ATJSoYDSeEgZriMGSjWrtIdMR5lWMiYaNlaOGTybym9DhEXNx4ULTNmxM_C1aGAzwg4OuBM-FuCrvpsMWWfoZpiRFwuvxEzTLjJWKHu2b9u8qKB03gWWhwMYk-IUSiTAuDKsUZLwDNlIC1odeJkrTN02CY5wqzTvtB_urWQYbi_wAwroZxBPJTVhWvLSsa1igqXjNtlvYyId3CeURVuJxsrGeRw3Sbq002uAIKEqgfyqv5GcQG5RPyLq1EyZSXtnTAwtbqGDiDkHxCvrRpk2vyssuDLzyVHSSEcNJPlSerE3eFKtVoDt48rXFzrSHdukm4XaMFk6v9lm1qOJg7n3SJgASZWRwEzkrNanroDRiEb6nYCD_yjFNI0iSmtSFndLUx2x54U9XAuNJKdsYOoaTuU10hHEACco19cJeYF43VY5Ha1wKwx6oCAuk6QDBAjKUHVmcKBmy4XM-EHQZgLUoptZbB0jTNzNroFa4gYVHEzY52U0cx8WnKkFmViCQ666aE9Xvk2BtdLZ4Hm9rgfhQcADeQ4-EA_J8LNlBa4zyUSrMA4BXSK7WXHwpQC2Ix5Ugqy1l0Bm8En4QMAIQRqjSbboOZmNoygb4-VBznaVPBEjWT_dICQBb-FQWgi8_CB2E73nCoLpJQTcZKAB20qUK2dRsg007nCs9Fg4Az9lusGBtJkqAX3lSqQybKNCGYQPIG6rNdI02umnx2szOyo6bFZ8aLUA2QScCCVKDTcNwmhwTtyqHEgnhB0wgIPi6DiTN0SCXSbR8hFcd0SuJkQiYEnfbCNDnyrEoPdBAEhSkI5xnlFA9vspQC6I3UHTbkrNmjoMYVnQWBZBwEwcoGaFaOdLja3ws8RxbbF-QtaFi5S0NEYsoFLZQfzyYQ4gEFu5Plfsya_FrXScATLNFxJJ_hWxHr0TpBIHbsJ_KFVquc0Me5h1GJPAWQr3Oc1zZLQBM8q1Y_x79X_Tn1f1Oq4hpdrJLd15-U7dONxCr0QdRLdBa2LzZXHaV8j-sdOA8t0jVyFw5xqvF1Frg0iYtdcWVmixJuJvCv-LG7oKpDi0mxxO678OVZr2WUnuAvqabeAu8ur7GltG1wCDuqLNY4AT3DYhTyh9TXEzfwMlbkG7p2wSQAd1UpnODHQJDMyE6Qp6iQ3uM8FYtE29SHPmewHZNWNVPqgWiTImZVtKr6wABvqHdKaNXTva97SfqyRGVYzb-lRUgw098DOVU7vdel0NVjQ09ryMHhFex09em2xgRexTcZ5ftao6dNiRx45Wjdeb1x9RnlzogbLFZ5PNq1DphwkNMABYR6P6aGupiJBM9p2W5Mak1bqGsNIyLnyufKa3I8d3a7TeAsNx5PUEuFWDABAJO6xyivI6k6nZxtwuTUK25vMGABus7jq3NAa6CWtOxBWfalaaU1JmRf7roy9HpaDa7QH0wABeckJB7HRMbSpuYAGh034CAVHNFR8OcG6QCTha8GF7Xet9Q0u-0LHqxj6kGm6zffwpYWnZpLbtBOzht8LWZ2hWsiJuRcSNk7Fx09GtSJdqLtgN0GroqYFdukOE2mbeyesvSdSIrtippaJ0yN4W5BWk7SWnUBBj3K1J2n17tGo1zSW94Oy6RW2g7S4tIAta2FGK19K4-mXy8kG0HKJCVWF9ZkAMPJ2Wd1SvHp03S--DAiD4WsWPKFZh9Iuph3fABz7rMabHdMwU3aarGuB-PZXyg_4yszo3saNT2OD8SNMJb6M1DqSW1OoZRDS82E_Uf7LEqO6jrP_wAh01VnWa6Tj2yBIHhT31t8d13SCg94ouJph2HrztR53UU26iAB7bBTG4kaTJMlLHR1MBwc2MHhc7Fq1FztcExBsnUG0VWNbcM8SVLcS9LUHF31X3hW3e2fy7E9ji4AmRIE4Kw3qtB5LWmLTeFqK3UQyZgknIKxWo1B7WQTLTmciFzZaKTjUBMQdoP5SeNb0ZpAIsS7dRNPqP7e323UrUPRMubLt91mtrkggDSLwVW5TVC6G8f3T4pNQDe4Sf8AuKKlrFR8AQI3usY5fVLBrRpL_KNyiXCmDAsco0hVE3kn3ygaiCyoxwIkiRC3Ok2GqQdQkODrgJf2rJUdodBGuONlmhdM2EAC45UwVYBAbAj2QWpM002lomeMoHdJcNRvtKrStKppI7YDf3DdXEEvFRsZm6mKg95a4ubnhZoztOvTJ0kbLI0scS2ACPCAmwJ1k-YQLUd_AvKANBM90DYopY0EiOLRZBZn0mQA4m5OUaxUHVECwBgAolEEtcLQTstRl6fTWF4I5XbilWcQN5hbqFBBOJjY7ILspgNMzfZagazLERuTlTEtxmIcKgwJtAWMZl1rYAGg3IaVqRsjmSO25m0LVms29stVkO7tpsvPynbSIApmS1x1bThPV9AOvsQTAVhF8AkH2KlVL1TqiDCdfsWdUkniMFSIcEyZNjvK1FVpwGDSSQrUohoMmJ8QoQjjJiIB4C52WNFe3SM6nC0rKKABgaQL7rMmC7XahtIWr03PHMlxzDZ-VjolVZLbHPsnTQviMxyCpaz25pJdgDkBZ9Fm0w2Rf3VbO0aS4zcDEILguIMnSFPo069FMCdVsrr8HMqFwxbkposwaR_ukRrYS44iF2jmuxwEz9lWbFQ4mPK3PWbFQ-XCTdTE8cGywmYVxuMXUNLT5mfheXlGigAgGByufrTgJ3kpOmp2NOTOwHKWfpVgRE6hbCQUaQXTg4Cmg6hqMmSbWWhVptMGMWXRzvpgdLje6Km5_eINjsEWOqA6SJlSlqc6TY-yjmRxLuY8rN7anQtMbAxukKcuDjBACsa-pVCLxgFZvTTPUfmB4lZCEktWg7QIF_8AhSDsRcm_wlFKbYgETN_ZM6TVSQSYN1rCi3MG_idlf6SHaBvYDA5VjSpNgYjmEc6WNV9tkQWuIyZUWROodZ-UajmwTwsfF-m1EGDgrU8UxgkCb7rOfWaZrhZwxwr6ptQMkXK105na4Rn45VBPaZHwog6zaxlaGmlAbfGVuBi2ZItawWpfiVmrNLXyfuuV9WM7RJsZvKxWoqCZvjaFFVpgRsVYlaWEaYAWmXenCByLC9wgUxqAFpN0KaQR_CwyMW4O6160BIJGr8qioc1xtc7wkZFxGm5gnK0sI4gXws_VEFwtMlPUK2S4i1t1LCrB4DQIg-6qHYJbMrTQSI_2WQ7HEA5-UZp2mcn8IGaJ3WoCBBG6n1FZ0h0SPCqiBJ3wp9BbGIWwzSCWg7qBjfBhJe2N1zN9Rj2W7GxeTpEZ3WcwSBvdaFREZWQ1RkAbrXwK0CYBjdJM9DAS4wbcKpuCH6MmQbWWpHO3XVC0wQJSgBxgTtspAZwf7q1BDNc6ccysuk8OGwCcD8KyM07DeIIi60yoG6Y3WoWdGYOTPhVyXxxKDtN73QA3nxsg4bhYFGkEZn2W4GiTm621RAnNrbrOMjYEAEWUdZSvPOVmiEXmVmei9MHK6CgcN_styudg67Xsh8OwB-6vqC8AWTAl24t5WbDXNjUd1lq3rHOuYFkWFi0GbI14cAHI2Q1xuZjxhPGLyrnNBElsJpKUxqxZZrrAMXEC-6o4U9LgmMW4pEA4lITsJ07hVzML7KAloIwqGAwEBP1CcBWd1fhybiy65iAcKLCkkbrKpi5F9wLJasmmk4GTypuJyjmCo-pLTMCYV43eoWXH546b_rzX_q3_ANUdT-jv0l3qfo36T0rx1jmmQa_naAvL_wCXz_m_n4_yy9bmf1Pa_av_AC_x_wAX_h9_k5f-62PqP0T_ANQXQ_1V_wBYD_Rn6If8XR6Wi9_XdS0S1jwbMlc-f8_8n_m8Lx_9vLln-_u_5GL_AOH3-P8A5b_0fyXLfI_12n1LBV9IuAcP2SLf3X6Mzjbxt8-fX48lza2CBptErf8ASDpl2JPKzgMHcWVBadJypQ2kEZUgYEFvBXQAHyshxUgwYWoELidlQWkTvEWKDid7yEAqCYlQKIb4WNCgycqyh4i8zG0rYDXkOmNKDnukxME4lBNxjFlgcATF00O0bpovSu0beVsUAi0E-VtgwdHhQObjKljUIWXyop22CBHZC0wZhzfdTGtEwZVR06RP8pSJvJiZsstIuecrALXB1pugqzMLQJJ1EKhstg5QNFrZRNCYKMiMDyjWuJjb4RQOrIiPKDngWM3Qc2VYlNA3UqlIGxugVwlSielZBwFdHTqcIwrAXtAPthShYkWyoOa204S-BwLLMCugeVr0dEC6BSScBAHTKD-eVEn6dXqahH_C_Zj8SvSpUW6CNIPsrYkejRJ16QJb_BWVXpf57JbLbfuNpQeT-rNqdLpcHOAdJ7Tlaa4-Plj-kev1JrEFzCZLgJJK452rTX_R6NenAptBAuJutyN8a-B_q_8ASxTaXNZpc36gFw_kkdNf59UkOIDsYheWqemTg3jINlBvpGKgggQJgLpxHu_p9QPAAgti4P8AK9HFMei6m5on8DC6lMGthzREAbp2QzqJa7tMCLDdTVXpPAa0RaIKaCagaBDg6bwiVmqABxLbk48LndQlNjKYAc6SbwVJy77Nw9Sq2k8CQWnI2Cv5dtettCq0tDnWMXJNgF0l0a6VQEO0u7pEq-DWajWiSIcMOHwqNdMtc4AQWg7bpGa9KhrDi5wnA-VXPl43Oram6TqJ2CJEeoio0aWhrsEnKNSa800mOEOHdP1E2Kkn1r8Z9P0_UtbVDWukDE2hVrpqd1YdSc5wDXRgX3ysVLe8ef1TXVPUNMGoDuFysWPK_U6D6bA2RcfS04WLNivEqCXRlzgblcmpS0g7UYLReIKzY1qja2l97aceUkV6nQFtRhY4g-YwtYPY6R5ZMEOgXi0LXg1f4nSWFsCREnZUT6jrNFKbVZ2hZv8AQ813UlgOoy0iZGxWBL1xVqF7ZkZBP5V9GkaqbdV3croOdWAptdcuNjHCzQ_TVjVMlxAb4yNlBZhcK1pABkBa-D1mdSfTa0ju28K70mNNNw7dQkgxYZW5UepSIDH-nd2dUx8LTNbmVQQIJ1E35Rhs6GoWlzNRNOZBOURbtdXJgmcEmyNfD9aNTXMOkQLxupSV5bOhokl8XF44KkbZ_wBZ6un-mUmHSXudho3KnLpTU-tD-j9cn0xUFm_9whWXoef0r3t6P1qlSA1wIabX49ljz0auu_UKPpubRrtdqcajmRg_7BZtWPE62hT6qsHkgOeBqH91mxp5fU9PpY46e64uuVjceR1EFoaSQscq1aFKsTplpBxlSkrQw6gbSSYsbrMdGsNYzSQfpEXC1UsaOmLXACAbZNj7KfWfjVVZqY0NP_7qWQg0gQQ1t5MrLo9GiW9w0WnG4QUbenpcb4uudFqZ0AkES3HssijH2FwfKNHcRUDcTsEIZrnEB0Y_Kl6X_Vqb9Dr9xAwbXWL20oHmYNtyr9bnSXUEZnSOPCyWp0XBry4HtW2GlhDh2zGyzIqVUhok3vgK41KkCAYDpG8bphafW4xp7Tv4WsZI54kgQQTKH5Vle4nUbgccqVuXRpGBH4UrShe4PDbiRysjQbNAuBG2yz9B6d0kA90brcWLM-loMX55TVKKgpgFov74RKhUMSI0-eU1NRbIce4KYsaWOuRkxuime6IkyCMLAMB5bMTGy1QjSGiBe6kinJD3g_yt9AsNr2IuCsVqVSk-LxBO3ChQFQOeBmHAKxh6vTfTcgDhejgzVfqkSLbrf9A0Yc6BYcp4xbjS4Q0XJ4KsZ1xEiSLKiYaC4kW4WcJcM95GoA92w5V8dS03wR_dVM3slchoBAgrNmpvbFUaSTFp5XPMbgABhOq_hZVVrxGCRe2FNTQJBBIkX-6ya4ap-oXvZaxVAME3vN1RenUMzETMAIlPqLWkfe6gnq1EOF42XOtRV8Foh3dhRvTACe5VM-ka-XtIOkccrFxn60lpa2Ss-VsRuCc8p2v5YeS5odLeLBZvR64DuBcfvZWVmquLpG88bLLStzGSTm6aq9My8tiVcG5lHsA5Ert-Nxj8iejoucLPZ-R2H_tk7LWLrRRNpldYxVWkgC61EaKZcRm6qqN7xYfI4WoysNIAAPyrh4zdQzX_AMLz8-Ixl3pvI2XDpvaam4Em8CFitw3qTpmQCEVZsOsbeVZ2KahEzKYEa7ScW_hL0l8aKdUDt2K6RzUA1AkXXSdxESQ11rj8LNa0HvyJIKzau6i6R7zyiZjjVm-AiR0TaBE55WcIYixM_O6smNM9SpBtcDPlZraboc28AIAHEDFtkwM21jBGy1Og7QZkAD5RmnktAIm9vCzuoMzI22K01PDuNttQylVRkQLQPKSpTl3mynbOYBMm2EQurcW8LXrcobm8g8LO1XCwzZS1im1T_MpJ024QAd3G-cKgudAIBlxupekxRoFjIA3VJFRpIsVr6zydqtGymsC114u0be6sGlhgSV1wVDts-6JWauSTgxCzyWJNAn_hcqCCCCIP-6sFWO0QG3VGkEht4hAxeC0SJEoC107qxoHTNoPlRAbLXTqj3TEFr-6d9ygLgHG26DtQa4Wk8hWCpcPccqiRtM82WLOw-ubOJISdgF0iwAEwtsuDS4wT9gja5cGNgyY2StFkESZWWT03aTYSiUSHNstEO152GFnRdpDhKJggl21lqIowzaTey10AJuoDg24SirRLc2zdIznYOk4dAW4pdR1ZMrSug2MReFL4Ha4xETGSuftBMkSSfELXgQyy8z7rUD5g6Ym0gq29JoRDYGVNc6BwA3O6v9tcYDnbZV1mjTcQ4S6Vn6i7XSSBF-FqtQQZEFSVeSwteYGFpg4ImIkK-KMQJgArTPKGD5E48o5qa2tHKAB0oG0gEEZRcBx0ibBWGHa4lvCUqn1eSohiNI88BXGsSdAbOfdZraLRIJgxKzBRrgfAC1QS_jKgbIyZ4XTXO9KssLLcQ-rVi6omSROY8KUcQ4XA7QuQGvbMIs34Zkm5Rbv0xM7WViRzdQbfClQCYMZU8ahDYxj2UdYLIIiJuqpnPk_7KsFBJOYRfgi4zlHIwdcLNWenEkziFpkSHAcBAzQTc48rfFfixGoDfhdviFeBpsFixGd5gRMFYa0jSPM-FmtQOs66l0HS1-qrP0UOmpuqVHHZoBJWby_DjeX6X-Pj-fOT91-Xf6L_APVI79N_6C_9Q_8AqB-qv1U-l_Uuo6f9PpuP1yCKbR8rX_L_AMfPh_FeMvfKz_8A6_8At6_a_wC3_n4fw_z8P475J_6v_j_-r80_0Z_VdT_ox_0B_Xv-oPW9QT_WX9edTUp9FJl9OiXEueBnn8L9Xl_HtnDh1fP_AInt_wDnx1v_AOb_ACz-Llb-PHu_78n_AMR9L_0i_rPof_Sv_wBJH_1P-rO__Lf13_U519J0RM1Q0_SXNzecrjy_jnO_-b_HMvk_Un2_65f9HPn_AD8v_L_L8uHD7-7f_s_1n_p7_wBXev8A-nv6F1H9cf8AUX9QL_1j9WAf0n6Mx0vpA_SA3Mr8yf8APw_g_k_83vlyzJvt_fK_Jnxz5_x__ic_i_hn_t-v0x_0y_rPrv6z_pql-qdf0H-AdXGujSqWdp2nyn8HP-TnPz_k8-Pzv5-HHhz_AB49vtaTxps6ZuvbHmDVP_KzYHAbF1mgPMjx4VgUPN4FlrQRf3UDEAZN_ZbHBw5QMI0hAXWHCBS62xQQcbEGVigtsT_CyGFQAQQus8C6t_wgJkuM28FAoMOmZWAQSHGZAUqUS8CIP2UnpF6BXVV3HcGx2W2HZyIUDtPlFc90e_upVieq2UhRkkJSGbYzuqlMZxMEhEB8wL_dZrcQgnOAgQmBCwAAQtQWY-Mi6o7XbfKCoOwMoGBhEx0B0q6yLTpkLNXHQSq0UOFxCDgZugYvuBNkHNx8IgRLUIm43sEUrTIvZc6OIkTKQBtlQzu6yWgTphWQdrI9_KUGTeVgLHCoGq9xKoBdOy0Drdwg_nh07PTglsEEHtX7D8R6nS1nnxMQ2Fkej0fa54kvdE8Qrg6tXbPaCNOWi_yngw9Z1TvRAsdwYiEtajB0mslttTxIFsrnFeV_UNKr0cV2FwdgxsFcJr47-oOsd1_RPeXzqaQDifhcbdldY_zOofTdpcTqE4XlxqKUyCxrnEgEY3UajSHA6QBqtldOPhHrfp7HMLXNMgjbC9HFmvcoP9RvcbkYXZKsJJAFoEWwr_a_FANLe6O3dZtXUwY1FvbebhSWWAjJuGibDlEqXVQ704gGLRlYrKQe4uBI-VzWKMpis_tiBycqzXT43OefTDQGBkiSBsumYxpmk02udI06wCNgFqGtVN12MJmBMeFm2GvS6RpDmkPnMABdJdjOvWc8zpae4kH_AHVc7dWeNLrOkm4IQkOCKgcX2Y0bDdHR5nVgNpvAMdpOLoqHTVgR2nJiDsueEmxre41SG2vaQtLOOLUqbabhGrUMyVOqcWL9VpNdTBpgmR9R2XKxt8z1bG64aCSd-Fw5eqxCm4yWgG-VGlG0nNkuAc2JlB6NDU0AWLDcR4WoPX6aoHNBaTpj2U3sJ1T2vAOwJOMxlQ9Hpz6lARcnAT0SdTqYBLpxAvCDPRDnP0iwaZk3B-EGmpWhmlhEi-rA8oIve1tMSe6Ztug7pa5bUMkgkbIPQ6aoadUn1PUtvsg30A2qXEGwF5WittInt1QxoNgDddeLL1ujry1o02PGVupWyi-D3OLHAWJOVlzrZ01VryS7S4zHunqN1MCXBvYJghTMb-O6imTSd3d05H8LXxmdx5weWu0l7Q7cgTCsdGH9RP8AiHd5bV9NpJJEB3CxyqvN6Dq61Cs3_EU_8lz9zNtgAuco9bqemPWdU2oWx0waIphsK8oPFNIf_kwwtbSYJ7-fdc6N_WfpZFJupzXFhABbj4Wl18__AFBqoVNNLVFMadTsErnz6jUuvmq575dMuzwvPXQjAIIjuJTFah2RAvGQpK0uxxhgmd7pVa2P7hczkJErZSqaWtjcXKJK0UGapM7Rmyz9dG-hUBtsLfKzyuJqjzpOoGBiThc732o0TYyIIyeEujQwDUTpGkfdQNp03En_AE3Ul77FKQBv_ZLWpWlrW6iRiIiFPjZAdAAcJ5Em6z9S1OuSWyQCeTe3Cmqk17g2QJn6gtS0nbRTqyG3g4iVrVCrUZ2skXvhRLGbX6RIDombAZUblNRdNoDgbWytM3KpVpBrLxpOIWqjJVcRMCRieFzrc6M0tgnfxdRtwqkkDaJmLoL0nWETANkGikdMi2rJT8QajnBrSGgjlMw1NjxIBMmZ-ENJXPaSQ4XKLEaZkyG7Tdat6VVroIknlZ3pD3qQSQJMzKYscHGRhrRN5lTAp7riZJ22U8FPTMW_lPQXQG6RLbAyN7o2LXOi1hkozYpScCTggqxG7pXOZYG_J2Xfhe8StTziTcrf9oan2uOCq58mme0OnfA3VZhdZ1EEk-EFYHaQb5MqzaJ1XNazaZ2CWftqVma52obexWW9VeRBDcZk5C1fGWSsb2vuuN_tuMxJ1S4xebbrA0U5JMgE-bwhHC4vYSjRqTdMX1E-NkFg0GJt7_2T0VDXAQN-EBfNyIbsP7qWJiQJdNxlc_qq0nSYsY2StztQPDoaQBFoUapdIkHjYLNjljQW9oI7p2IgD2WLXSGEnMTwtaxTfRYQJNlityiA58kNtKyun1XaOSLf3RVA4NEjfP2CHfxp6Uy4S3Jyt8fWbv160DSYgRa69mOZm05AcBbdRE6tLSSdsLP46soNBa4AXWcxv1oY5vaI7r2Cu4wpMiLtG_stS6h2EsbEWnK19aXY6SDOFrUK8FxloWOXYyVwMdupeawiURHnA5WW4ozucAJME7LNbVaLAi02QEkkxZsqyjrATZo5UopRkzt8rpxYq7XFojK67jOJO_cP3Lna0jMEj9xwcrALJcIJv5WtT_Uy6DBtJwqufozSNyZIxFkayA4397GUqb3iZ7ZwSNlhpNzpBkkfwE_L4FAIIyNwmhtYNzYHEBTaKtDXRNx5WtFJJEfgqT6l8ESwwRpgK6kh9UkBymytKMcWzbHKTxjkD4N5hXWQk_tmNyU3FzXAzchIvjrXMj2wrqbSBxJM2HhZ7jYTwZHum_tRDwTKmh2u1Ox8rcFQDaIPupbg5tQh0EgeAm6wrBMEfdVmiABJBMzclXkjUx7XNE5XSX4adzrkAA-63oyvkOJBLp3K50KyHEuOwWA4aSLLNaizCG_V8JCrNE3WmXG7oBmMHwgZwIEYgzlAO6b_AIQEixQT9Q6ogfKBw6bGRG4UiQzeCISK59nCblULql2SQsA4v-FqXDw7bCTgKighsCYP9kIoADM4ncoAQJg9rkHNAab4QUntGwAQFjrmPdCtDCBEABNZO1omTifhageS0mYAVzB02mLf6lApgyZQVpntEH4VgpckCGhbiW4XTDoNuArf2pckDhJ-xwhg3O91lIGsEQIG4hWKDnFzr35Wktw2otEAgj-Fi-s-k1EWJhbZvShEt7YBRqXpL6SiVZrZFhPCfEEkRZwPso3Dtm39yrGrNVYSbLTlTAgyBzZTfhigcWC8D4lagZjgTc2Wkxwz4RyOWEwCiyaI1DiByjoEHYJErhUMqaxiuog2ETwqh2EiJuCtNxKqL3twFzrSYdJ0gWN1A12HNigM6u4zHIQUbjORN1uMU7Zk7Ba3GVAdjg7qypRLZsJW_UcW6W7-QsWNy6QtESM7LDpxFmokmL7o1TEEGYjwrHKnO0YWsQsZjKwsSfDiQFK6a4ARCRYYCLQFVcJEmwCJRJcIiEZs2CCM7rNLDa4G6smuZmknY-xV8QQYBOYVlDhzok7LrKGmWwLlWjK-dRC480Ck7W4yLBR1f43_AOsL-umf0D_0A_qnr2PcyrWpjpAQbjXb-JXXhw5fyXjx43u2f_R6_wDhvGfz_nzuTj2_m5_15_qil_Sn_p__AOnP_Tzpqr6dfrXH9Z_U2l27idOoexn4X1H_ADfx_wDq_wDN9k2__Pjh_wCI_wA28-UnL2yf_wCvr_Nf6m_67_8A57-tf0Prq3Qf4j9D_QunZ03Q_p73dsMAhzvd1124_wDH-P8AHk9fmT_xPnOWTxTof-t1b9R_6h9V_WP610o_U_1dmkdB0k_5FAgQ2BwON1jn_wAt4_xz-Phcn12_i_6Jf5LP_wCf_wBX6F_6f_1F-j_0bX__AMjf9Wuu_wDyv61XIf8Ap36Gx-tzN2kt_aML8r-f_klySb_X7_u_0_f_AIv5v5Lxv8f8d_GX7_8Ayn9__wAX6I_6Wf8AVX-s_wDrB-qN_qL9d6vp_wCjf6GY-em6dx0PrjYr8f8A6v8An5c__fy_Gfb8n9Sfv-3W8f4_4ZeH8XD8uf79fsD9A_V-l_Weho9V0dX1ulcIFRv7gtfxc-HPjv8AH4_D58bx5WcvXqFo0_wurBHW-m-nlY_0KCRlQc62FqYOJgCMq-hp1eyUc62FJVgtdYR91spzJGURIHUflSjpiZPws2ANkgmLrAbTFgt6Ec0T5WtDNixOVmg9pMRKg7RwIUADAPJ3SejRTBAtZdBVpB37ltgXO23Qc0aTkoBMnE-6y2LGk7QgJ7TyE0EDVMpEpnHn7rVRNx5ustJl9iN-VLREkrILTflA-ogmVoPTcICosI1BAQJaUHC0XRnDRvlGnCR7oFcRMDKDnZCAZlE8EdqKDjvgoIk6SUAF24WbPo5uYBlQOSdIVHNdYjdYADS68YtC3Vvjs2CztQxADuVQAZNvhBxag4tBFjdTcAAWs0fzv6aoHMAvrN4wv2X4mtVOr6boAgkGCAsprd0lQvMk_wCXEAO3K16rSYJBNp4uf_pZE-ooNLOwai7DSYRe0KbBSqiZJZaW7o0x_wBQV2Vv06t6YGtoLXNd7KVvjdf4T136jUp9TVa43adMArw3llrpjyKve91rkrFV1IEEX-FZNWNLWc4OTwuk6WvT6R4aQJ0MG_K6xl69G7ZntGF3ifW_pz9TSYCqq1WAf9uIn-VllKoSPU0jOxOVmT6upBurUXRA_JV0xOq0vAJkR-0LFEKrw1jsutkrOtQ_TdX6GqQPBWd_bTV0XUwS8wbStzlIw1l4cCAZBv8AKu6lnR6Jbp0hzj-6VuzT8Xrfpjg8zDoFwYspHLk9Sn1P-cHEjSRaMrcYjSZe8vbsbB2SqsvapAaNR7TxIyjtuvK_UXnV6UEE4ETP-yJuPPaX0ah1ZAgTeFirv6eh01UvaCCJiNQ5Tpdla3dUaWqm0EudEkjtWVeV1tUwW90yZMWXPlWnj9XSFSn2kgwbgZXGqx06hFraxgG9lFilJxDg4sAAlxIvJKK9GgSAAA1jtp4WvBtFdraTQHjPcYWRCt1LWyTIaDYZlJQ_T1NDg9w7IybJKD1PVv1Op6SQf3YQJ0wMklocJix3TAvWh9OHsAaZkhWDMWGsCQbAzewUot0zoeBsREFB6PTvNEyW2GAjNa21iWjU0CbmRutSWD0qBFZrRBaMnyFuan1toCOS5uCTH_m63icnodMAA6bnbeUc2lmmnMduIId91Vb6VSWu583TU-nfWa3UJEi2nxsUvjcYn1A2pqIIbpzwkbZq1WkymSHC4wVm3BKn07qVamRDjVH17D2WUrV13X1mijQp9suBiLk8D7JfFeYzph1PXawHAMc71C4XBjC5d6PUovaW1KM6TFtQV0fOf1NWNPpmhlHQ3SW6g3J5Wecl9aj4cuqVq7peCW8b22XmuOkijGjS0iM3g2UdGqmALExpWZRzKmmCYE7FasaaengvAkwLyVJMPW4AT2gwIWbXPcrS03tb3VdI29NHbewOy58vVaS06CYBM7JgDTo1DIFzGylg0NeGg407JYOFbS4AgnVghc-xoogXP-q-VmtdfppjQwSLgqxdSe8g3IBlX1rEH1D98EKZiedOj1R2gSBEGynqzpMHS437sQFqClR5JBGCLmFRB81BJNpwQi7ilCzgBZx3WpNrOq1iXkZltonK3Z8XWeuIZLRAObLj_RqTXl4DRfyRlTHSVWlLe0i53OyjTY0AN1GQAdt1YHDxDiR2ndL6A_SB2wXTcJRIPNIBpi_1QFkTcXSdRhu91b4AwQ5suyFNFoBBEahyt0FpgmG3UWO1EnA1YCKDW7uucdt1zFrgTF8WwrCu1y2Z7p42RXTqbAt85WkCkdL4FwRcKYN3SSHSIAHOVvj6y2GTEwvRRagIIk_da4Rzvrbp1XnSPAhbxnUHU4rE3sFMopSNyYkpAldsNAED_tWhmeyAQb-y5SLumYIdBII3A2V3JiI1mANJbBj5XOzXSeMpMzMADdcf_wBTStOwABH2W2tNqLhJiyBw4PfBmYieFkXpu1AE25CvguwE3NxOAqlqdRg1T5WSFIBNp4hc7FEHQSZFzA8FZbh_UtFuPdGzwWgQbgXCzWVG1NBtkCVKuiHB9-cKcQ7TYkiBj3TDADiwkXvaCLBWwVa0uIbcFc_U1djABE4yJym71Vkxr6ezwRMDnZdOMwvj02PBIO5vhemOK4ADZgTO5WkI5ljb3UonphuFfjQtvBmfK52bRWn2gONzwtwUZVJOASU6BLgHjjdBW7m6d8laEqjg5smw4XHkIGwtYnlcW-Lg7RgC26zZ22oHEkGZKg4HUYJv_KyDJMYHhUVoESBad_ZdOPrNi0gxJI8LrZ0zqTyI-km0SVyqkiBmfCrPwGvgEG9sqcV9qdSdRjBVdHRYX3QHXEtJE7SEZ-6g-oTMu9rLDRXd3dMQpg4uuAceFf8AR1I9-ZA2hZFtVh4ERK1mBgQHSQs0P9RiLK_GaoAQJzbCeoYEADgYVxNAuviCd1YpDU0mTAOwarmpPQFXVGVJrXIwk2vPhVjE3HS90c3uo3Jnh2OiOPCYvf02kl15AypaprNiT7KBg42vIUiGEiTi2VdQ7RrM3stOdU0mCcBW-DV04tyRuunGalVewnJtmF0_FYg8-_Fys2YJaCbRHgbrnYKNafpIPysh2k2Fk-hy90gYUoIe61pPsqHBkWzymDh3Zdccqg3LSBAPKCZbBwJRYb6QCMmxRDtINg7GUALfv5UgLCBJix-EwcQZkARPKoZrTpAMG8oHD9EACUDerI2AQdqOrMuPhZoIfFoSJhi-REWWlUbkCbIK6iBFsoVZhAIBH5W4yfTvM-VQLh0bDdMDb6ibpQ7Jb_CkNw2oTEAzsuyTxMO1DEXWbFI86fflInbhL8ifKlSf25gkTcnypn1oxAnAnadk3Uo6ptu38rVZgNEvBjfCkaMQOfstzHOg0dwB_lVBgtMKUUALjDfwst8dMHiSLgAXJTcq6ZpkRgG61srNVZDbJGTA3AF91oORK0ODZN_wpgoDAIVHOqAOLSFLR1NpBM4KkHBugzAstM_iuMG2ysjAtMCCcqNypPIcZzsjSYgOM5WJ6Oe7YH3Vo6nY7XwpKNAMgHK2D6kHaCjnY5tW-EIdjzJExK6wqhdIIEla-ISIbtPlca3OnAaY38qLb0o10ZRg8z7IhC4YATWuPpCI2tKjpXFvkRwU8CzbZLdHB3soOcLTeArq6Rri8-PCiKiyscqqxoydlUMJtMgLbQtAcY2VnpReQQRtsujLNUOk3hceakZdxAMOOFiOlr8Wf_rS_wCpx0H_AEq_pn9LFT0_8X-olzxjUGNBX6P_AAcZz_6szuTf_r09P8PLj_H_AA8-fK53M_8Ar2_mT_1B_q7qP6z_AKhqfqFeoX_5bKNME_QxrdIA-y-w_i43jx7fNf8Ad_Jw5_yf_l3eL5hzpleh-canUNNwc0lpBkEHClkvSy2XY2n9Y6s9Y3qj1FSpXaQ4PqHVEXGVn8ONmWO3D-b-Thd48q-5_Tv-tn9QdX_Uf6T1f9Q_qHU_q_6f0dZr3dE6ppYWg3AAsF4v-j_i4fzfx3jx9x-n_wAn_iX8v8P8nG8r1H9uP-hv9Us_rb_p5-ifq1H9O_8AxnS16LXM6Um7WxZfE_xdT8fxzOn6v80zldu2v9GkjBsF6XBMugys0cZAlcx2kagTBPutShxc3wtQDUGn3ss2jiQbKwFouW7LYLjIF1KFiQFIOdIF0oXXGyzJo41O6BeVPoBdA91sDUdsqB24t8qX0MHRY7rIDG3nHlag1N7gHTNl0BJgStMCDPsgLXanRaykoaZ_4WmoSRus1RNwcQoOYSAQrEptOoQQrUgESCNjZZaSqkTiEEnwBCwEAgKwNtytLHARBmPZGmim2IE2RhXVpPugaQUAGb2QMSMoAZAlApJLNkCtfCJ6eSbooOkjCCdSnN_4QcDglYsCahqKnYOppMjBVAJIgQpQxdI3WgAduVjA4FvGFZQAYturaF9SdvupAQ_MEWWr4BDjcJL0P50UiGtkaRaS0nK_XfiVop1PVcNZl5t2oPQo1RTvcukCDaFYsh3dU8nUwjSZAadlEdTdWcwOd2tZuboF62t_kf5Zh7bAkWMq1qPg_wCs_wBWd-ldM91IOqvqs9Op3QRPC4c-WK_ydjy18XDZN5XjeieKGj2uEgvz5UE6BwR9QuVuLGhtSL2ImV0s1pr6aqXPES3w5dJWfr2umfYfVGIcVudVh6bH6mQ0Qd52XaqqXamE6bbxuoYjUqdsx4iMBMSxzXNIPA-6w0g_JtczJ8LNVlr9rW3JO3sudMZwXNgGwjcSFOvqt1GCGgRAsSAnXw9aejeGPgXAFhwkSvQ6ZjalQt1wTsBErrIj2unJpMMRsLLZVBU9TQZDp4Ex_stOFaulcRV7iRFhuES9RpqPLWQATPi8o6SY8rqw1oBEkTF5nwsU5S3thbSAETAccvOYWYmV6PQPsC8BrjuRMrWtSYv1DiGEm7XgtAlc-VjpHmdTbUC4vjgW_wDtZrTHVZLJaCJmzzgLnZsSsHoilLv3TAnhcfE10Av0BpdpvLd1te2yi8PBDobpwHI21U2BzA5wBdkyP4WvBJ7Sx7b6wfqB2WMGimWsDRa4w7ZayBwxvUVBqEgC0FQXZpDJpmNxqGdkGWq8EkhmoD7-fhBkqFrD5mczCBf8Q2Xu1BnxEoPQ6as51MO1gGbQdkZrd03UNqPId9P7ZwtTR6_T6i0Rtkz_AGW5RrZYDIDtytpXoUCHyS6BaT7boxWik00y7tadzwEZVpvJls3GbXQGs8h0zY8jCNR5fWdY0MdTBi86is1t5lfqi5mhoa6TIJWPLipf_k-q6Z-n1AaMiBP3S3Er0B-q1GGmHtfqLtQc3YK93xe_j1en6c02tqB7yHdzn1LjUkmJ39A0-8mi4hkAlxyfZXJVY_1VtTrQG-o0UQHS4D8LHKbFj_P-qHoVnBukgmII_K8dzjXXS6CwOIEWtIyr_bSQd_mG_mJwspqzKustg5OR_CNRv6YupkGTI2hG69Gk_U0SPsLqYzijQdbC4GJsFip230I1NBdbymLK0ioC0Egz4_2UbMxjXFzZIBvMqdwafS0ACLjEpe5oWDbVzeRErnZRppCHEXtmOVhr_WkQ5sYIFy5aiRCoAAQPq5KmtaxVbPgmbi42Vva-mptJ1Sd8wsqV5BJEfUtBr6YJtjlagV79AsNwnoNNxFQTk7LfH1mt9dmsWHc3cLdlzUl7eXUf6bovBz5XGunroGmdMHjVhY1Z6pTqmRB7jaSo6L0ZfpGq8Wsgp9A-LqwAgAEk22cMK4Ec4tHaBI_IWQNcmNViMKg-m11iSNKz9DB8xNvYbq30c-o6naLnKsWBJaNIvOVOSnbUDnY2tZYVQEtET_wtSawV7hTInAOeVca0S_U2AItdYC0vrBBIi2FUr0emq6YgfSMHBXXinxsdV1De-zdl1c-VGgTruRYf3W-Kbsegx9yTBvf2XVDVRrcJBBC1B1KiQdWAcjjysjqrbEgR4UvgxVHOJ3-FiBC8iYBH-pPQtR2pnbNlLOnTizFpLzOCvO0u1g0RGo7eVYvojuMSCDyqogAODonwgu03vjZSpV6X1CSI54U_xC9QWCHahqn7rVlkWMvqEPIBziNgudU_qn3WG5fh2lwEZ4UaOXSDJJdHwhilMS2CS22yGQ7YnS2e60lc7FOH8_Ub-y1LoI7jcxF7KWi9EwSDpG2VjwUDTMGC0Jo1UDpc2YdwunFL49CkYMyvTI5NLYDQPlVkNZJ2jeU0NpBbGW8IAWini4UwTDyLEX9lnWjMeZkGOZUFWOBmCYSWBy4k5geSroVzye0kOHCzyXCxMOggjErlXRJzYk5O6zyqmDiBY2OFBQVRkCCBwgm5xmCsz9i1J5eQYnhbiVpN2zj3XW1lEiX5GnwubM9BzyCYPlZPpZkDe2IWzcRyLTP91nXQwMG25V9UrwHDM-yXoKYnlZAILRY53GytgQgNMWssUOx4abAytwNq1WynooBJzIOykgYHQ0E77KWCjHamgSJGStSJXatImLnYJfQs3OT7mFWLMIXZGRJCy3HCRci2PhJ2n04jf4WsPpQQ43kflZvrSmprBbB5C1gDnE7gg7BGbNMZ1ATHhYQ5de0AhXOmzg6j48J0lVpPJ8DytRzWEEW_CqL9N2kgaiuvCp61OBLcz7Lr6jK-03-FLBIOGozZcr6sVaSbh2FmqBaQBe5CyKCBgW2sg42aSSSdkHMc4NBJRVS4A_G6ImXHGRexQLmRMBA4IDdpKAQSJnzZBaYiZDtkC6u884Qc1skEiTNk1KZp0RNvCaroAcP9MLOpp2jHHlWU0SGwT5iAqo3AiPchEw4cMAX4QhmQ7korS3tGlsAHnlQqgEADbeVfjKoAAF_ZbgDQSZMAnhAw7TzYLXoNg6RZWTEo2OSDF1onRCTMjdc9xQPeYVlAB0-_CWjtUiQY91ANgMwqGJmOdk3EkxxJkfm6aWGabtAkW3W_XOmsW_8AcECtkCQbnI2RdOb4MXGEanhHSHuyRO6zV1Vrgb_3USeqB0SJiVYzVGvIAi5XRlYOGmBlbHAk3PtCuMXsRaSoyIdqIm5R1kwA8xaB5QMHX8omKMPLThHM2mxNwtNOcdLZWF4s7pi9wFlpwbJlwxwg49pm4UooHeCJutShmXn-xWjNPHuPKOdmGa7SZViKNOkEkWXRPpQZNlmtYYb3hZxfXOabaSCSo1-KjHam2-Ucy2J3RYV_YQVK3oGBlVi12SMQpWoIFpwkXcpSb7wl67b-FDYdNp8FZZaGXi8QFr6zy8EQbkraHtEbrcSuwFn6fHOMCYyt6n9JObrnuXOrPUA25mR5UkxvlPr-Zv8A-tj_AKsPVf1j_R39PsqE_wCD6Wp1D27S8gD-F-__AOD8OPL-Tny_Uz_-bw_938l4_wAHDh-7r8BPMr6h-CCDkHIHY7S4EjdL2vG5ZX9sv_QlW6jqf_Tv_TFSv1VTqn1GnuqOJLW7CfC_nXLh_wCX_P8AyZevy8fZ_wDTZz5S8Z8fo5ruBpi0ldt6eMdW5x7KgOMGReVnAWkAbqUEOIMlZAjXM_AQPEXQAPmF0CaTv9OymhyIbAFlZPq4GWn-FUIAdQgLHQdzdpvyshSIvwtaE1CVQwM4TAYvfKxYHZ-2eVviLtMEjyulDPIF0oAOm4UB1A5uVphQxpyqFEEkC6w27VGbhQUa0EYW2aJcNkQCCUxdTLdOVlpJ3wpRIQXXyFIHnVkhaXRFiDZRFGPOJtyqHLp3KBtUM9-EDswBEoCZmZ-ECm5ugCAaeEDCYQBz7ecIELuVaJkmJ3KzRx4WRzRpQFzpwgQkn_goGAgAhZtDh4cLbeVYpDceVvFwaeDPwsVKJtLQD5WUK4knK2P5zsYGwAQWxnwv2H4lbaVAxr7S6JlBqbSlzC2BcI1K0toGjT7gWyZHKtW9rU2BjYe71JwCYUYzXlfqTNIfqaWH9jsR_uivkv1b-nm_qVCqXvLHmPqKxy46153HzH6h_Qjq1Nv-F0NewjUXOxzZcL_E6zk8L9R_pj9Q6Bh6pobWpNMu9ISscuFkb143qenX0gx3YAxK5w3toYHlplke2911lajbQGkjWDfY7LfEej07XvgyWNH0zkroxY9OhVLTDp1SLDddJTWlpN47b5VBqXaW5nPjws0qQDnkRFjgIkPVGq2CItGFLjbD1NN8AbxFgudGdlF4YWuloWEtUA9BveIPkrBKp07ntdrZabk-F0njUejQq66g0nvAkbBa4-pXrPrkNEOLYXVFqHUAHsJc02nhHCy2tdHqNB-otAdMTn2VlZzG13VFwa43cfpJ2Vd53GCr267ySbrNaYnOY2oHOg2MGbT5WbmI09HUc5otoItGUnibWx1wAZc6eYvss2bVjP1VJrnk5lwsLBqy6Mtfpg10Fuqxz7rI8-pSIJ7YyFz_AB1gtGlI0mAQbCcrGNrlsANHbGXE7Lc7g3UAGtL7lu8FMaGo8lhc-Dt7K3plmqP00y6QOeT7Kbi4em0sBc46jE2U_s8XpQG6onNoVl7NYqrhdxGlsQBN5U3tWOtUlsBoAm5lQZ2AzABN-7grMHpsJnTrOnYREcLXjL0OkrNL22Aa3JjdbmYj1OkqE1e6SDhzTstK9ai46R6gmD2gH8rY29K_tAmYvpAyrHOxuc9ugw7M2_ss_WVWOIcZidIIAWlR6p-tkOaWgyQFitTp4HV03VKzy27dIzhStsgqs6f1w8agBIcP4UnYz9SHOFKlSEvaASTz7qW_Ee50euozptbPWIadTdyPddJNirHrqtPpR0jA5rgdTnEWN8Ll-QvX6-jT6F7WahVLhpDP7K3lPg-X_VatWsxrfXJDSTomD7lZtzurHidVVFVxdSMMn6jz_wCSvPzs-OgNIJBkOO0lZ3Y3KzPE1JEMJycrILRDhMWNoVHp9O7XANzn2R0j06bfc_3RVSdDpggcnZSxmq0eomW82lczGxrnNMm82lQjRQAcckjeQjTaaV3Na0wLyECGGvDnCRtP1LH1Y0UjpII7bb7rOaub4uSGiZH2Q_1Co7XJHEZWYyxdTpDtIEchP7amEcYa0i4290N7FncSfqPjIWmzagBM24K0zoOf2HEj-Fk11F-CXQV0iNTK3qSA-TmIwu3wk-sNcggONryQd15rO2u0dWoOtAO6jXw1MFhm7yN0Jc6bOnqGpEENGTJhRqclSdTriALqtTtN1UatOqG-Vm3VdrdNyYJP2UAAjeIMAblA7jILo3QBhuJGdggs1xLpOOIQAsyY7jmDsr8aCl2PubndYooXF94Jmy1KlIe4GypFCLWJIcLLOKWmb3JB_CYmtlAuHabjK6yp_bSyq7cLtuudVa8umcpOqjS3qBJi3lditTKpjS64IyVqIuBLDlzSI4ShMtIOIWRlrsLXm5AhZsGMVoqObP8AysB_rGYGbDK1jaFQ3xAXCzGz-o3QCWk2ysxexLgCAbAhNU4dq9_5Tfo0Uz2SNtlUpg_VEHTyEqOc1pnc7krIzucBJEfKNFDpAkzOIXPkLiQ2SD_dZdOPh2uBgx4uo0o3ESlSqMGun9V-efZTNi9mkxiBysfcBMDaBGQtUOxpyJMILNqQdw5ZxPrVQdJAzyV04xK269E6WxC7a5tLasNBN1bcSma5uvP3URZrhvtutbgWCdUZ5W_Ql_ghYxore4SLHhSwWY0tvN_dZzA5ufqwNwpgi4lsSbLNU9N2oT55UrWlcdJNt73XOt-lNzJMRup2DqdIgiFr4EJ1OBufIWNwXpVADaysz1M1oBd6UHiV09jnUnP7j3ASbrG_shG97jGdwp61kEv8QFYWFe6DBIM8K4klISTYEiFM_TWOeSQeeAUvTSdojSB4CzoJtAix4WwLWG_Cx6Ha0Rqi5V7gDHG4i3lA7WwJPd_ZUUkBpJuRZWgNqyIBiyQMKjmxqsYtZB2oAGRIymM1NwJibA4Washm_wCnK1Eu_FDJhp3vZE7voXa1pi-UbcAHHMtOykc66e68DgpW4cG538hSZWcKTAwdU7qtYrQwL38rM_tWhrxb9oHIW2bFaTgQBiVdc2jpZdWN4XXhO2b411BAtc-V1GerTnJg-ESXEXUtItlc-c1vXMJloJusChkNvdZoLb7n2WQ0EmAqHcdoQCIJiPuiRwg2NijQWiAL7yiAAWDgeEDAxi6BpMTceQVYOPacRKoJqQATNrGFkITvJnyFA02gEqCrDbBUZM4gQdltoQ64FzC1J9DtDSROYwEqiLWiCAuf1mtNJltRM-63EXAFzM-FQA42zm87Kyb2GaSR4V34KB0CIkeECfvgCPcqgssbwLqaCWwAJluVPgQmxGx4TzsBxLido2VgBs2_3VDBwIgkH2WbvwIYvtGJWdHMeXGNUeVZew5dIgjG66VHTeQZG6m94z-JwQDn2XSM1Y35lShYuAdV-Nk7XyGLSGG87yogNeWi5xZJFtWYdIkTBXSMmDpP0wCr4KNt4jhJSqSCwEArVYvRDM2UWXR1QwccI0IIEk7IqrJJLt42KORyQIE-4REql3f3WG-KZeOSSNkaKHHY55KDg7VAMi6ClMuAM3JVFWgNnZaU0knBtyjFjmugc3RhRr5F9luLjgCDa60htB4HhYxY4G1j7hYuN_lB1RgEDynTFuu1HayqOBkybrADjBkQPC2OGJm52RvjNOWyDueFK1mE3BM4wjQADcx5WUUaNIlbcqo11vdEAGZ28rVqg13dyIWYhnOht7hdPixF8wDN1mrPU6va3tME5B3Uk-1rld6j-NH_AOsC_rel_Wf_AKjP1f8Aw3Uf4jpf02kzo2kftLfqH3X1n_hPH_8AJ5c8_wDdf_4Pzf8AxP8A9N4cN847_wDV-Z3GSv234oIOQcgpTgObIkSLcpfF4-zX99__AE7UP0Zn_RT-km_olOjR6J_Q0naaBkB0AkHyvguUl53_AF9Z_Ju5fj_S2CAYteB5WK5Fec-FJQGyQtjjYyVKBM6SuY7Vj3QOXS3_AGVnqwJNiASunSm1SMQsJXZnwtSxAxcrNCiZJixWQSCZOeFQux1fhACLWx4TQx52NltR1F2FLCi3NrFWdIq517LQ4uLhZA7DLbn7IGaBBgR7rUSi4EjgoyIbAsVK1DBscg-VFdPCupgNYYlVD4BMIhKo1YWW0Ko0kRypQjdlIDFpWhwv4KwK0cX5WhU5VBiS0coHDdBBQEmQgmCTfiyA6D5PygLNwPygD752QLBDxeRygV0tNzZBN0kwEBuc8LGAA2QdEhXQAdB8LOjhVBBiSPKXsdOqIsAkqw2om0WSldqghZQNRQcx4jC2P52URAa50Bgj3av2H4jd07g4WJcL3QbKNIaQQwh3lWrOl3tmsS4mJGk7BQ1ZlIMBBuXD6kRn6qg2qHCo11SAIgY4siz181VptqO0AkOYbudb4Vb_AMfN_rtLrP0__Op0i4l0l04BWWOw_Rf1YUaRoVqYdSIjE5V96rtxrwus_R6FXrKlKp0T2vc_WxzDgf3XHI0-d_Un0-j6k06bxUg3dhcL1Wt6Qo9Xoqs1DU1xtJ2WpV3p7XT1HFhESAZjcLtIn-t1CagaLtvYk5XSM3G9tUQSBINgeFT4l6pc-CIi1t1kjtWkSIHElFd6gNMtBOqQbKWGoVmu1XkjcrFNClTJ1SLbkrmgVWB5iBY2nf3URbp2PawQRnfdI20U2Uy7UbEWibrpxHoUWur0HMIIi0yugLHvpNa0XBsUStVJ09QyTA_0kpHOPTrOLGh14B2GFqOmJ99Q9oieRlLFebUpQ8EsBB4N1JMSePV6ag6lQDj9d887JOympU3amkgOjbgq4QXN1usdpK51vWLq3DSJGqbd1lhl5_dqIifBNli9-NIVKgBDpBkfQP8AdZs1TMfrdBGe6FNkRWnVD5IkgC7R-FjWRFdzQ0HbDTz_AOcq61qlKmIDnN8yMI2oxrXloFpsfdBR8gMfYBhII8K5nbLD1D9RBaQ2BMEKaMDiG1DrbqB7hsjSZcdbXNzkiUg20Xks9QkX2OU-sWNvRVWvewFpc7IAWpEe70wa1paxs6TifldWnodPr16S0NcBIIKo9PpHkNbd2qO4FHOtNMFz509otzKIrrh1mxAFuERHqajmNL9OoXhqLHl1KjGvcBTMEQQTafCl8dI8brQGtqBzYE2AOFyzO1Y6T2gtHdUgzmFJtH0f6V-pU_UFN7BTDAAHaseF1lwbP1l1KvQc-k7S9sagDePCzcvg-be9xqkyQINgbn2WMHm9X6rgNWt8DT3WkFZ5eNMQpuY1wLS4NtPHC4WNQ7qjfT7oEtMgDCw3EZa8thsAC5nCs9KowNeYDrxaytWtdKQ4YDSIKNR6XTuaxmoAwBFipY2uXMLNILiSEo09O0EDUAYxNlgXpGXXbpHupR6FCWv0log5JMLIuS64bnibQs3F6I2TNoH-lZ8Rame4j7ykjcVL_TiQXRys52l9SfVsXWN88LNZYKjjrkuGrgLUaKXau2IHhb1lZrtIDWm4_ci6FOZMxBOTumIYG5sCZ3FkBLQGhwLcrUXDtc5pgQPIXW3prj-maq4F5gy47LjW0yNT8NIAveLrAq0epTaGyDwg0UyQDHZtDhZFkjnVC4CLAmCDus1uFc5sERfZqimpdzwRfwCg7SRm0GwQdOpwO3E5Uocu0mJiNhhX4Ha8ltoA38oCHgN1acWyiylLyHQLkqfFFpDIuSVA4e0z2iDuVpI50gcBFKHGmGgiR_qKMtvTuLu2b87LfFK1gGInVzC9E8cztcWvsB4B3UWFDiXx-0bKXk1YuK3aJJ0-y3OTGY2UHGA09wJyukqLtIgn6TkhGbcZas90mTsosusD7Fpvq3gLlWpHMeQW7chXWvxVq3ZqEhqxybZBVIJwRyuSxVoLwZsOZlFFr9FMAWJOybo2UT2icLfxKcO0PwczPIUqEqugAm3JCnTWJOkiLg7FQMwNpsBIEjMrFFR5v_3HdYbh26Wmf_5Qp40pqaWGSQBsAmap2mD22EWU3E07TGkE3G5WdhouYS2zQ6-ZT6rTStNtlvNgdjSXQYtdQXD9DYkAeFrizWim6b2K3HNcOJbiFtKcOLXSY-ERYFz2gNEnlBZvYBtbdaE3O1WzzGyEI118AfN0bVc8RMZ3WOU7RwIaZv7LO50JVHgOFhPMrNWRQXFojyo1naD36Tz7LGNHY4lw3AxdRTPcYvc-bKWhT2EgxfhLNFKIBJ0w5QaWu00_x7LrPGekngyby3ysVksySQY2gKY2BJ1QTF8K3E35AI1nAJlRosDGf5WsHB2CAEtCtM3AgzkrIWo4kmTB5QKwwIH43QU1ZEzOLKgBwBFr-6geQBF4zK1B2vUDm2yxRSmA0AmDIsFQziXj_V7bK_AocAIi_CJTgkNiBmyEhYJmE1RE7hGd7H6QYVTlDAxbMJ_TMK4l1hEbJnTfvhdRAgnNlmNK5Bybq-i1MTj8qUUgkDa8FaZ5KU3CIsSpGdbKBLS4kWXo4esVpdU1QM7yurFRJMmQPuriSfSvgNm52Nlz5Rsk4kge651ofU7pF4ssUUYBEhZgEmbX9kDagWiMcKhhMWt5hBzbEk_coFMTP1NlA4aCdxZQSIl3abqizWh2nIjyoOd9IiSfKsIX64zG4Qc-GzClHUyJTEsVGZi3KDjUIBuL87Kmu1AX_KKYGbg_hBU7WvzKDRSdILf_AAqfWV2OjJsbStyaGFzqut-BhMmL7LOB4De07_haHOaRsAT8rIENm2fKnYDiZvsqBAgnI8cKBY7v7KzsF4JsmBR2kWsgQvlsGIygNPuBtMqLTOm_8rSA0guiTPhZFGggzBMcrcuJivrWOkWV1n8TBxNyIstM3oxcIibnhWwnZAdRELPi2KCpay1Kji86tpKgcPIMTdWIs2oCDN_ddGbDRM7eyWJI7AxjlYbGQYO_lbWrMItt7BHEXCfytNEe0EACyxWp4zVXQO0RwsVuEaSIwk0xdgMWVRVhDjwfZaiKPgxhUdJbebeUClomYlEcDG5XSM1ZpAib2VZUD4gG04UCFwE3lc7AdBcRws4DBvBE7KboLWwBqWoCbCbQlWTQcQTaCo6-CHFwvYqsb26zrbqNF0kG8qJpjYLUc_XA7p9HajqFoBVodp444VgMWgiRG6tvQjN_qM8Ka6Tx89_1E_XWf0n_AEX-u_rVV3p0-j6OpX1OwNLSpy5cp_Hbxnf_AN_G_wCHh_5n8k4__D-A_wDV361V_qH-pf1T9Sr1fVrdX1L6z3nJJcSvv_8An_j_APK_h48J8j5__v8A5P8Azf8Ap_k5y9PEOV6Xgcg5ByBw642jdDx_T_8A_Vff1x13U_0_-r_oHVV-p6ijTitRc9xcyk3gL4X_AL-M_i_7LJ5yn_7vubxvP_h_j_l5ev37SqnWJJxuuG7H5xz3fSsghxBIVl7HFwIg4Vo6IFsLIVxBtug5kh2bFBUDSBfZAkwfKCmAtQI4HmylAAAMHCBoMHPsgD7zf7IIkmYH8LP0MDG8jhagrTc3iF0Dh4JG3sqCAC7MhAIAMDlBQCBhA7YI2kcrTBhETb4QETgRHMopje26zVjgIIRTA6h5ViUsfKtQhxmFPjSbxa4ErNEi24sSFIBgRBAC0GaC8iLWWYLAhgzC0mODpjf3RVWu_CBi8WkZQB5AGUCzGd0D4b7oFBLTmyAC83QHfPwgDiHtg2KBWskcxugUgAEE5QIWm15Hss0NESbmVmibjklZHUyCEFCADcQqGsG2QRJM7_Cg6cWIK1ICB7K6P52-qabYByLyv2H4l_bZ08vEN90TL8ehSfD5eXExaP5V9VdpLhTaCS-_1beUxPemhpc57dV3DE7qLE-saXkwb5d_siyx8x1QNwA0SXTIkEeVGmF2vq6VRhaKYcACT9UKo8et-ndP0TTUc86SYbJjGEJLO3ndN1tU9RSlv-cKlwTMNWdmu_H-3yH9WUKbP197GCNBuY-sm6838uTxK83pw17xJ7_4XHcaj2ukrCAG_JK9XHxcet0ztVhM73wusZxskCSBAwI3WhKqGtOpsiNlKp2gVGxBvusjtJ1w2ZG6qUlQEkm8BSyLTBgLJkgG87Lj5VxlcZeTAf7FT6w2Mb2NaT3i0TZavS7jZTaCBqAIAyBgrrJJFVpVgJbMf3V9TWilQBcIJLtpP3UZ1t6fpwx8j_8AR1ZTEk7a6o7S0kOdK21aPTSxz2RrIGpvjlEhm9N6jzOktGEa1YnT2kCGtkIWot02Dj7xlSucu3otVpDmhtt3DxtC5WuzPXZrYCWfVvKyzqZ6b1HBpEABTGpWTq-kDD6REkibZCzS2sTg9tRrYgYkLnYGdSdJgQXX91nwT9RzqhAPvJz7KtSfW1kNp6RIncg58Kap6FTU9rbioDkiys7NbnCKBcSCbtnZbsR49as1wJbtkc-VxJ6zdQ4vDQQG2sOVuNsVN4bUcHOF7QtRqNnTnVpY76SbRdYvrnfXs0aAbdv1iBEwF1mpXpdM_wBNxDiwM8brUWvV6StrBHbq2PK0N1F8UyS4Y7r4TXOtNO5Aa6wIMYJVkWLipDgJJkC0LTLuuPqQQJaBEWCyR5PVtDKribtsSCo1rx-trtaCSNMkxGD7rFaL0fRsr0S9zmsecefZZnHsW6p1BnRubWpem8EDWLSryz4rv03q2-vqcSQSWuOZEWhYnvQ216bqDxTc0hxbLnnYHA8Lpy6HlvoOYyoyo_UGGRpErnjTzazS7WIMYEbrjyjUQiSRpOk7SuPjcZalnkGzYmyNnotLw0EEW_CmjZS0sbY2GLqjfSFgQXOH2hXelaWAPcBcGFnVaqf0ELOq0UKY1EGQ04HlZo30Xu1EOiBAWRp9SHxMmYFk6HMZ_mQLTbOFMWLsEHgneFEB81BB2GZVuW9LWWo8tYW3-SphWdz4a4ATbCzhUNT2GHYGVvJUaKBlpnTmPKoJMW-qNpiVcUHPMkCw2CWQUbVLZZa91P6RYCaJdaPK6_FYtY13gGNlyq6DtUE5_wBRIhTG9P09RofJJAiApiarUqO0zqmkDjdQ0GkuaIIIbJEZUrrEvUgGxIJu47LKreoBfTPtshp2sDmy6b7eUUQDnfcBAXu0gNmbzGUFWkadQBInhAK9RoGqZnaEE51AaiAOUFIJDRGPKLDsaCXDSPcKK4ODobKuYUzA17rmY2Rlq6ZoL5PE22XTjGOV-PQpCRbderGHOpabzJn7LPInrJVP-ZLbLz2uylJ-kgXM4MpxqWdNLOrLKlxPJK7zk5N1HqNQsXELqlhXNBaZLpmyYkjL1LAyBJE_grlydYzHtdJJBC5Wti6u7TAt5_4U9Ei4tcDY2mOQstGHcRAJMfu3RNUeyB53lFX6eo_SGiL_AHVgqXAEiSVpIJqAsA8psVF4LZm05PKyG1kkxBgCPC5pDtcXmwx-VlVQ6S2JkD5Uanotfp8zmUrooxxIk_fhYxFWvE6YlTDFQJYNNxtdJ2Gae0ggieV0Ght7ifNlJCU7IJAOJutSYzcVpy2d4O-YWoxFz1OkjduwWqHa71LiR4C1gsw-T7FPEqpeSQ02KIdrdQE2VoLoDbLLRWibxPiUs0VDQRi3MrAi8FrhYELKuaRqI8YKjcqb4nIAjACzWivMCeBysAtcN3B3yoHgye7290nYZhJbYAeQFYjQ2SGmRBW81n0H1IJJi6xYYXUCNzHhNCE6hqNxYWVawTiQr9UriQ3e-VAj3FovYQnwdrsSAB7pmibqhJBkJ5EM04Jv_ZTVFpmTMjwVQrn3ggAbTlQdTc4zvutSBtUgGAQbqhmVQQBbxZZofXI8YMFQMy1t-VR2qW4BAzJur0Ga6cC_CmagucZgY3nlXwwQJO_sE8ZtTe_zfnhT61ADg6IN4VqQW5HM7rDSrOw2Mp2izH7wCfwtaLl3qAHB3KrnaNxjOxRqRoouOXEldZWGui5pFzK7MUxESCFSpubIjfY8pZsVI2PndcK1ADIIJkDNlihnEMNrrKu1WjBzZNDAC0G38KoqHFttRQA9xkyEB1NAiUAaTqkWI5WUpXtPttCeNQWuaQCRBWkAwfpyPCBhFi0lTVFzdQJnt5VRzbYugqwj2UKVzrkEW2KEPTZrCoOgybBFUa0tAPjYIitIkEX3RmtTBIFsKzYHBEGVrQQ6BCsQ4BaRuPKo6RO5b4Uvil1TtcBSDnOIggWRY7VaSLKJ4UgU3bHyknYIM4ytXrtEyczMqKR4gA2-VCHpOgQbeysi0zjqtEFL0jhYCNt1mUGCBNwteh5nSqLTou2SF0ZuJvdLjt_ZEn01PDdP1Eqpad0Qp4hA87hZ1pam4PA55C3LGVQNh-V0SnYYiZHtdbZM4y0mTdcvPWiBwBnIN4U3sVpGbTC1Gbi2ntBIWmYSoZFu0KVuMz2wYJJnwsNykZpum66Ksg4BVc6tSe0NMKMjTeHE2-6sBc6TFo91oBr9RgouHAJ9irpehvvtyrrlrjVkQPur6KMqSIgSs4KtcYG3sogg6QLAJkBnV_wgU5iCZ5UrUK4xPhV0-Ga4xcIz-LpE7SjTjcCSs1mkDwJm6nqcYbblahhYEuJyFPq4droWmKJqyM4VtJEXAapusfXWdP8AGv8A1efqrP0v_wBOX9d16lQtYf09zAZ3NoXo4TeXGfuz_wDi3_z8vw53n-pb_wDs_hq6Tcr-hPjilByDkHIGAkHwg_qP_wDqu_6VqN_ovr_6g9cjp6tQ9O6kWZI4K-D_APEZy5f91s84zv8At9rw_nl_4P4_4n70YxobkkmwlcXiMOJICWB2kOyYUA-kyb8LUoZom4NioGAMSmBbTaVAZFhMFBwAm8lA-AYVCzNpVswTLiXQRhZof1SCBhAr3XgD7Kibm3WasFo2iIVQ2qMKy4KscXWP3XQO2AIlUAHa0eUFJLhwgLSBg_C0yoXAJCi2T4CVY7Ve8LCumQYEeyBg8NhbZrjiQgRzZ9gs0ibrX2OCjSbzfH2UwCAAZzsqC36uEDiRN5QWYAAgLi0eEBY_VsgLxIGPlAA4AG3ug4PgAQgDrGxsgWDE_wAIGLhJi5QIQBclAbRAMcoEDSDe4UCl2k33U0cTqgiYUtClvcCSsh4DQoOnn8qhXPLbbKjnOkWIPsoJud3Cy0HDAbyQg_neykKl5bqt3L9h-I39KxrWtAkGMDdBoY_U7t7SbAi_uEPrT0ckm1x-4lbc5f8A1N7RMggNcfGFK6E6lmqkRBmYJHCyjxv1j9OYaQqMaXuIzgiMo3K-a6up39moWETk-EK8HrG163VCs95p0qY-loyd4Cjv8Zekp1P0_wDUDXcC4V8Pdgf82XPbKa8H-sv0_rOrezraIa6npkgi4MwsfycfqPlgKvqCAWjba-4XmrcmPc6Jwq08umLhd-NaetRGp0gkWyCusrNjbScAQ12qeThdGcdVZDRI8mDhKQrCdQJJgYlRpppg1GajYDjdEvhS0h0kw3FlCeJue4EybBc60h6h1kwAOYWMtYxqos1usAJvLhdao9JgLaebAQu3wiAmnVa7uAEWIklNRtp1YEQAW3uo5WVto1_RaC4C4wPKM9rMiq_W0kRYrTcsaHdjYkibHMwq1m-KDqNLCLahiTsjThUblzgQcmUY5SpOdciQ6-Fz5HHii98VAQYOLrFdu1QX9ogacjyolh3gOL7XJgWCMsVfo3vqEQWk2lT66Rg62m-jHIJ1E2spyjSbuqpeg1p-pzog7LFyJjIGCm8XgNOVg8a6VUVWNBBOkyoVe5AqNngqzrxkatb_ACS0ktH8lO8XGJ7Ax7XbG0LJEeoqOcACQGg25WnR5xZDzaXFWDX0Zc1tiDptCl7Zr6PoaYZRaSJkzP8Ayu0iNAnu1cbGyo29J3BhMg7Jo9ajVLKYO4Gw_lbnFj1opVAIdxytquKv0hwbfaJCSAVKhMtkNvkbfCljLz_1AAUdDvqBDoaYlcqjyeqpmtSZA0hxkz7pO46QejoH1MBtRggXzykaD9Rc89Qz1muIbcW_CxymoTohSZ1VIOcWDUXzs0rMmD2K73dV1AYQ7WLyYuFb-2o6v0AZSqeq6BGrtNyr_avnnvYaxA_y24O5XDl6svbza4uQz9ptNivO0zATUJbDXjcnKrUaqJBaRALgNiina1ttQNuFGp1W5l2zslS1s6Y6JJ_JWVnbSG636QYnlG2ga2kXERJHClg10tTIkTN4XPGWrpnQdRuThT-mlmaTORPlWij5xcgDJUkV1M6mcSN1YjHX-rx4WZ4tTIJY8ATA3VMYqgLbOME7wiNFKr2El0uVlCCBO5JuUvYqHh0OaANoiyuKm-o5wBJFjgDCvS9RqpvHp3medk3oSLxdptpH1RlYZvSVXtYSB2zdGpaLGgs1SbiwlVvNEP7Q1xxdZpjmlzhqb2g5J3Wau45rdRcHEfCi7pmuJkXH-yiL0nuAlxAHsjpDTaDIJk3QH1ILdUE-EDtc4NA2RUy0zJNig6wkEbIHGwG6qxQHUINo4T-1M1oJswmFdFdYa9p0eAsM1u6WmC3UM8yvTwjle3psAaAGx5lehnyE6pgc0AC_I3WbCVgNPU_mNjYLz8o3KEhsFxusN-gx8OkjFlrixmN9F4c0GQbZXr4s1pabxmb-6JGfqHA5bM-VjlF8YwCwEm5POy42OoAXBBGneOVmrhR_mVJiGhZaWAbDTIEWiN0T6WzTkXMYRVqE2EYOyCzm3Bbcc-VQ7W9oi8G_ColUY5xJsANlkPTv9QjYrNgLRbbwCs2ijSRk3WWpT6SWkukGZkqVY4NaYmPaVnttcN7AI-eFrwVpmaZhtx4hOoKNAcy7sbKirXaTewNroircwL-Fpi-npt0ncyrP6ZO5kOABtGFRSm4zJvstDRTtAyDurErQHaLgEtFhKVHGtYCQJ8KLCtJNsg8Kapw07Xi6s7BguEusOApRJxk8-9lyahGyXSM4St4Jhtsg7rKuPePqss0LHpgwbzusCmsBl7HIKvgamdTtJx42VnbN8amm0GQWhdGYR9zMAg7LNjaYBLTF42VzDXUwSZiL_Ss8gznA2_hIpHdokm04S_oSLQ92oW8EKeA2mzgB7KwNpB5BH2KM47VIIkg-FGktWnafJVvXYM6hcXGDOFJdHAicmVYBJkkgTGJT0cwkWxvKnoZr5BAtxdSdCrKga24mVr0EGSLAtPCUM2W75KooIc0wJKYgB0mJuFn1nOkXPJMz8LTU8c0zB2myx-SqlwaZ5WgzDEEZOymjSwAXAv8AhTP0ilM6Q4CB7rfnrBiTqMypb-m5MXpuLB2ifC6cblc6v6moAzdd_WFJl-R7kq7gdtPDpOeVqXBOpSBc6MErjyhpILDA_K51oHMiDkhYDNEG5upirNZ2wM7qxHadO6o4VNUx-VIJuBIiLFUMwFo2HhAj3S3MTus2qA5ViHDiSN-IQEPg_TAO_Cna5P2IIcCMBaQWgvwJAQUa4xCDg2QYycoKsI7W4ugF9QhFXF2EHKIegAMx9kZrQ0E3_C14CXCAIiVUMTMAZ3TiyIeQ2ZuixznWi8JuNOaLRMK6OJmYiyysBtzchQrnAuybLcZtwt2x5Sszuudgk3WK2XSSL54VDhoLcXVAkggAXQUxlQFkCSACR-VsA2-eUwc4kuFwICvjnfR0CxCq8evTAmRBAGZVZcSbBZqxzoGZnCxEi9C2RPsusF7PkfStoYMAPcbQtM8hv9NrflLNaLBBmBCxRVjYEnJWozyWBkey3GCOIB90sbZ6wmwucrm3Ew0iDP2WW_hy4h2ZHumsnBLmgCwjYrU_bNp29rYtflaY0wIuN0dI6GiAET8sEuvYFVi3VWyRMBOkKWwfdISnDbcFaKoJbZSwhgZAn8qYYDRpMzKhOhe7iUbibQS6TkI1b0aIflFl6EkA2ud1PpXOEix-yYhA2QYyE8FSdt0iEm9zZKvwQ3gwq5ZSu7cqVuTrSsMuGo2HCSNV-QP_ANZ3_WVH9C_6EdP-jiqWdV-sda1rWgwS1l3A-F-l_wAPG_yf9XDj-u__ALJyvHh_z_ycre_H8kHm6-4vb5Iqg5ByDkFGNkicIP7A_wD6tf8ATqvRf-n5jqtKpRp1Ore5hNtdshfBf9n_APk_yXfv_wDJ9deM4fxfxcf6frfW3YR7rzTZ644IG_8AddN0H1INsLP1fglxm0LWoowWndQO06RjKomTJ8-FqjibgzlYFGCLlUc46s24VwCe0xdKJiQbgSsgC5lATGSgm4wLGUDUzqlA4scQgYG9sLUDh110Bc8AIFDjMxCCodPlA2qRBHympTtxlaZMbZWWyl8NMKAgSQcrcZp2gzCLAcYHClPqToaYyoqTh3G1uEBAjEBAwgBAw1A7e6BgYEIOaRFyRKBg6JO6BZLosUFAJ90HSg4nttbyUCkarhBwdpwZPlAr5MDBzKDtPyRug43Uom8Am5hZHYAz7LI6mybxjhAXOm0QPyqA4wL7rPwAt1OBsrAukl_hQU0AEHwtdBhEKD-dVKlYBty0iw4X7dfiNrdVOHCZCuDQx7S-A2XbDA91Rr6Z7nDuHbNoKOV_9zYxxdIH18BZrreoq8hjWuEzFhkhRJf2h1lHV07rdunuG6LHwX6-H9P1TKVQBzTIHvtJ5S9N141Tq_RZ6IIfUAJJzBOymurxOur1adZj9eoH6GuFg7lY5fuLcSo9ZV6emw9SXPdVJBINj8LjNvVR5_611tGmKvQOoBwJ1MrR9M7K_wAl4zqOjw6HVOa8usA20SuH5I-g6Hq21O0m_AXq4XZi2vW6Z5ezS0mJ_cV1ZtVcNH7SRwFUwmoNBIEgmIypiadrWkyXXPypinEVWuJ-kWuLKrEqlMMIFzaxCxZsX4gGAVNWxMSFzyjX0zoE5nBWv7F6Z1BzXRc8rp6yao4MBhpLcEHKi6FHqCHBhnSBZDJW7pnNc2BEtGZUrF449DoG5aLGLuOFYzOPbU5npgQ4xl0HKrrJjB1FcOMAS85B2RbSdPVFMOgjH1C7lO2VmTSLh3Eu_cLGPdS1fDh5DtJcXa3fUQud7NXA1lt7XMixCQrQbN1gk9u5kKWJ8ZH1dMSGk8k4VhHn_q3VCrBcDqacZkJyvTo8M1Gv6lrj9JXnVoDcyC4uP0g2CM1oLSGSMiBfYLCNbHNLRNwBk7ey6cWohWaNJbExcHEK8lYqet8hzJLOd1kJMMAfIdhobsPKDBVGmXGbn9qL2r0lRrnmxc4lVK-p6E__ALKHEkDiF1F_WjsdY-BlaRsoug03ZbNtIwrg9JjoYJkE4DVdxlouCXEds4IWvRspvbqn62AC4P5WmbUeqq6nSwmSL-3spfF15dQtq9QZcDg8riilagP8O0aheSOVvOm4hQ_y31GtJkGST_CxPVDqero9Q1pcHS3JBUpI809b6PWtqik0EGC2Zm1iuOke3Squq95gF37wJEe63OSvXrekOkf6hkBvbA2K1Z0PjNPTf4o049KhgySfkrz7L1XSR5nWOYw1BRINMHJESuF9VnokOIgZGVGo00qEQXAahMEiIRqKUw7UAYLgVP8AFbKZeDnVNz4U1n61UZpk7zsdkjc6bqLgSQTLi20cq0jZSpNLIMasgAbLOtKerL-2eICz0NVNhaLQXZzspiRYNbAtaLgrG40dshhvInKaYYkwZsBtKqMdfvdYAOKCDXkgAuIMwEXQr3aDBgGFcxHU2hsAm6yqVUgOEGP9QVQzBqGRa61AS3sBkaBdUUptlpju1YutSddiTm98FpIItCxZgYu1uLSTA22WW4JDmYOBEK7Gki4AkESAJsFCuaA4GxWcZxVggkggQJuFK0Yu0yZJkSVIqtN7WgPyOErpDVs5ON1FKzuj_wAlTUV1mBF_C0pS4wQDvsg4EC-OVAQ9rgHCYPnCB6bgWgEfICaLSQ4STA2KkaUcQ6SJO08LU7Zbf094YzSc5uF6P47rnXqU26r2IzZeiOVpqjQ5lgY3lX1deYfrdaNpXDlGpSPYHAkHC411gAhpBiR5SX9JWunV03GRyu_Gua4fDQZkzkLohHuBBkAtsFOSoljZiRA2hcK6QHSReJOFiuiAALgbxvGVBZoOmJ23UDBzhJi4QUpjTaDfdBoYdQIAFrgqjp9O8G_5VHaZE39jhZDabSblZqfUyQQAABi5WGlaT-0xAvwoi5sLfcrN1uEM82G4U1qXVrySLttdWdqoHbEuid0_oW16yCJMcrQYVcWkT9kRRjpfaQZVgsCAXR-4zKsc6q12rEg-FpFKV_7rQqwzEGbqwP6ujnOCVTB1m-26geYtuMLF9DsMS26uDhUDTYETsgm52omcBc6sBphsARPKjpoE7RIWL6pMY_hc9wPUZqnVHhAA7TIggn7FW-ClIgNjJjZWRGn6wBMwF1jIFkSbY2Sk6LqMAXnmVz-LmgSXbQcXVsWmZByRHCsiTU6jRqsLYU-tFcfTtFypomWb3C0OvO48KANJIuTbZZAmW5Od1KOa6bZQOLmwsQtf4Fc6RYTbKgIIgRwpQ-jSBI8qwFptgA8qwUayLzb-FoF4kZn2UALS5oGbqgB-k5kLNALhgQI_KoAcP_pZsDNfq5VFKQ7r_KxRsY4BpaRbIVkYtMMESHErVTFGuF22mMpjajCGkA5AWp6xfV2nQAd4XojJ21CZI2VtkZWov1MnyrKn1R8BpkE3lSxUIjwJvK48osBg8XXPO1HVfceFQQRt7oGJLrOM-EALgwWQJN-LypQw7mgEEeUE3MDoBBumrjjAMFT4hh3fG6qnABaGkwrOkENBAAB90FWt0ZMojj3OuTOyK5sC_wCUDDjndA7SQc52CCrXQboqzLHEE54KRldhjGFpMPZyo7THnhIlK4ib3PhKriN9woHDZaMQgSA1pthAKckAjKyh7uF7rpD0DixspaQhdLYyVmKLhAlUEkaVQZ7hN7WAUFGmJCn0JBxPstaHObi6sQpN5j3WrYn472DDq2spCw-s53VxgBUtIwqT3DCHE5jMLMbq7CNgQukYO5pMG4VRQFzhpJlWJZpxDDEQqSOIJMYjhMU4JnF07SqBs_VutRiDH4W6iHUdlrX3XKusSa20W5lZUwaCCMoh2gtgG1sqxmxzvsN1cMAW1RaeVGoDZbJF_hRzsqjAfndaiKF0BUNeJNzwqKMcNwt7BUQ_YiEtD6LcqNam6N5ngKAm_wArDc8DHugV1zi_Ko4E6hIunqm1Sb5RYUmMbqFdrvhPEx067JTDB3b4VMSquJAjClPDUnikNbsO7bK8fcPJX8q__wBaV_1JH9Tf9Yf0z-menqT0v6H0k1Wg2NV5mfsvpf8Awf8AjlvP-X_4flf99vHjx4fub_8AZ-I3GSvo34wIOQcg5B7n9KfpD_179d6LomM1urVBTAAm5XD_AKOf_lfxcud-PZ_yfxf-d_Px4fuv7v8A_Q7-h6H_AE5_6Y_0_wDoVGlo_wAP0zTUAw5zrlfz7hby_wDXy9vb6f8A6eU5fy38fPP8j710O2I8rpXkBpI7RJWZf2KMgC62GLjFpgoHYbYKBmuknKoJbvgqgOnVIlZDQWiTdWdhrYJniFcwK6WCPKcqt7TeSN1z1cTFjJVjJ3OMAqhC6DMqVTB0ReygIdNsq6hmOt42WhVr7YldIGs-2FQCCMoGae0BA7ASYwgcwCJutMOJg6QLFStwZi1rbKBgYPmLLUZo6gMoBJMjHhSrEyVFSc-J3O6ANPvO6mhwdRVDNvOcoGc78oCDYCyAxCDg4IDJj2wgDzI_ug4GRcYwg4CLygVwvMwgAMmxPygZruR8oOiXG6BHCPndSjgLnwFzo4efsg4tte6gDm6oCAOlojlArWEoKKjhcXsg_nnT0B4c0auJuv2n4irZYQADEGbrc_tMUpf5bGxJJzpRNenRpgUxpdG5BUMVpgMkh8EjA5Uqfic9QGu1aYDRBE5Ubw7j6rQALm8C6rcj5L-qaZrDX6Qc4mQCMrNK_wA566o5nUEUyWvedx_5dc66Tx5X6nra003VNTSNYpPyDyufLYpOh6it1PQvhp9SwM5AU49wZv1-emps6cMiO57nZcnLpt4LnjUWgDTbTGQuPo9TpusFPqGaXRgOgLfG5R9bR0RsMGNl7J32yq8vjcgfhVmcoQkv033QtkVpjtaIh185RZdVp9zdJyTPupQvU0y50zOJAVxsR0-lwJsAZlyxf0louAawH9kxHCzjOlaSx4-kNWoKF8XDtQmICZqpmr9RvAtCVemyhpDYOMxF1rNSvU6eoWvsWsEZJU8Ua3WlrW0y3VqMAhRXmveKld8kzBDr5WbrNWawimADJtjYK5bFjY2pLnEyNtI9ln3oqzHkEHNQW0LPiNWgAOk3Fg0crpGuiVqjm_S6SQACEsTGHrHE0bkOc2TPC5k9fN9b1RLnkkteTYnYcLna3EaYc3TI1En5AWMareHn1sAYk4WsZrUx0AOaC5xtlMiFfUaKZBkTNwccpFiWu2mdckQFmkRLiHwBAcc8-EjeE6u5cbBxgAcKGs4ohgJEuLjhA3SMmt9Q8RstMV9RSqNdTZgjTk2XWJKJdpc3QNIwTMymptb-kMtxqgkZVl3pWulU0tDpi8AFaystVOq58ku7eCtzxMaOnLTSaIMm1klXJRqOHo3bcEjKl6RgNPQ0uBGrBJ3KzmoBdpogavpHdAyVL_TcGvSZ6eqHAGJGJKTxrx4fVi1XTM4DWrlyVLp6dQupuqSRUPdY4XLvUfX_AKPRZQoOptYdBE6HZldZFS_U-uqB8eowVCL2gBqzb2j5n9UZRZ1LqLXFwIkmPqXC-usea6mNN34F5wueKFAtLjpIc5o2WWo1UXAsILZkzY4RumZ_mVTeWjYZwpf6YbaLyGgEgN4j-6xfVzF6dTu7jfFhsrOWNrtqASGGN5K1uq3UaoDQC6w_cs4q7Xh7h3ab7rI2S3STI8ou9LUTpDXbRgLnZtQ5cNJ2kqNalWnWAIIiSTdJWNQc4ucLxvK0rKyA6TJ3JTQX1bwbxulgQPc39xHgBTwSq1dRGZ8qwUa8vcfbIQdVIfJDYMfZagv05aKUmDvC6fO18qheHxpGBus3tbOiO06w83Mds4KyTUzIk6STiVnol1F8uiQPY5U1qVRlQCBdxNrnClqqy0Tk6dwp9HNcC2wJBvJClxcUpGZi04kKOkFxNoN-UUre4kAkgYKufpMVY4gd04woqY_y5cAYKBqf0G8e6B2QWk2MBUUYWy6-yguA117i26BmjU4A2bxyqrXTJaQASG5Fl14WRnlHo0Kpa0Am-ZGF6pdee-tDjNOTe8LY8-vZxuIXHksTLgRAsQFw5TPXeeO0gNFoWYlMypIkGTOF24ObSHk-LYhdjU3kAGCNXPKYOM2My3cFcbxalAt1Rtc3WLxb9AsGoNEmOVzagsHaABF8FFM10uILb7nCkFHGGyLWiDj3QFryxo02JzPCocv1uDZ-6Mqh2mQTN4jZWgVNLYgxqU-NIVDqAN7rlVVoPtBBI8KCxdJBIngLNdJ4pSu6XEaeEhIq4GDe07cIoNJ0gk72CnGJmtLLmRzZbMwdNzJMG1kVopAiII1Rnwqh9Wp2kEn2W4xT0zpkkkgKsn12GFQRJqAC3srBUTf9yaHb2kAiFkVeZBIiAtYAypuSflQce6TneVAc7WhcxwmVFlITpBsZCxY6iTpwZjlc0KTAN5SK5rZJMyrQ7Ia4d1iVqDY0gH_ddEw0ageeVUsReIm6xi-Qju42UzA7dIAO-y1FJUd3QHXzZT6nYOcWQReR9lhQBiLX5WwpIdUN7RNzkrPQDnYsrgRzmkGLfKzo5sxaxQM6o4DIkbIEjQTe3AwgDTrIx7BKNLXBwPBComHlhAyCsijYIAnOQtXQ2CLpATU0gn4MqiXqGDIgbQpg6BUEY9leoGNha211NHNcAdO6mjSx0n6SRuAswWYZNrDyFvGMU1SJiOFMrTpvcz_K1P7Vdjjb93CrnZVwWgid_wCV0lxmjN4iIyFWVqTtLoi25W4NAMgSZWqEgQSTF1x5LE3ugbkchc6pgZvBE4lA7RPtugUTmUCmZ8_hAC3ElA-kiII90HPF5JJMZO6ze2tScLybCNlE-dKRYASRwtIWW83U7XpRs6c2WkUAI3UDtcCcqjt4A-SgY9vn2QO2CBsgbTdW1VWOi0_hSIoC4EGfstJVWuOqYyiKYNxbeFqCV2kwYBUtDNMuEiZWAxEd2BK1BxgyrR0kew2RCteQTN_KYrnNMWdb2UCgQDeUBBEYQAzYY4CtDtMWIwpEtcCSVqyhplt8hWRRdgWRCTAIxO6ypTYQAblIhnOgCLeF1-Of0bNsYja6kW-mY-MTjlZvS26sxxgbbrU1lZpzJJPK1UO2TcH4Wp6KEEmd1oMbGdoRKZryXTj2Rm8lgYAgIyBwt-qjWcRJGT4WK1LiMw2-OIWGgBkZhBSIyZVimDtWRfwrUDUL2xZZA1QLXlBSkRF7LUc6LvqhVqdna474RmnYSdytaa0MublWdpaqHRstYiLyWukLnWvCh2oyRHkKNca4jukfdHT2CDB7lKFcQXSnh46bhVLXNbDZwjRCRJvELNSn1CIi6sQheBIE2RewmbRYcJO0Zv1b9Qo_pX6Z1nWV3ilQ6Wi-u8nhola38ZaTj-fKcf3X8Ff-tP8AW9b_AKif9Uv6m_qCtVNT_GdbUcwuOGBxDR9gvuv-H-Gf8_8Az8eH33_6vwP-3-Sfy_z8rPJ1Hwhyva8DkHIOQEMPwg_V3_oB_wCi3V_9TP8AqrQ_VHUg79K_R3trdRq_ef2gexXzH_jn89nHh_zcf_dy9_qPo_8AwrjP4_y_6OX6yf3X9haTS2kW3DcAey_AnyR2_tWZMESt6rnNO8Bc6yGqAAbJIuHGLkrpKizCIjKuAjNgoDvklWABxIscJQZkXzzKs9HO-mVq-BZmLrmFJDhypi6WB8qNGJgCFWCNMHEIrqgEADhZVzSYtsqKB2qAbLTIg6bZXSCzOQVoGpe_CDmOBbMIGHcRICCtM2ibcLTOFe4C4NwlxYAfIvjiFlVGSRf4QNvE2V0d6nbiSoJPIwBCCU_MqUTLoUwMwnIwk0P-VoO12kQRdASdQJ5QBtSJOyB5BaT_ACgIqREXUBLzOchUBhi33KA3BN0HTz_CBTMFAC6IhyB7C_KCZMxyFAsm4UwESlgJiLWPhSQcJJA1JYOLo8-VnBzSIVkHDuVDagpB_Onp306b5Jgg42X7WPw41PDtRcHHG60q9FssBc8gwiY9Nj4DWNdDPN1FLTe0vhpi8e5WRRg9RrgaekjBnKDTTogPBBw28Hdaq7Y-f_qSox-ljXTO7f4WV3X-df1BTPTVAx9EQDBduJWOU3t2j5ytTDqhqPaXuBAEnuC892q10qfTdN0FR8VHky9rIMk-Y2W-M_Ga1mPjeq6ur1L21Kz3VGgmdWx4HgLjbeUVJhaA0aw4gRhY7Rq6dsOEC5ubrUH2XQltShTcTJLQPZezjZYzWrURYEG0Qta4QgEw2dOk2UpfWof5jYJPhWOkWFQMbBs7Ej2VadSDnuMzgCQIRTPa3ROqXH_Up9NSeCGEQBsVMRCQx0BxDQYuN0FKVNzwCcnhWDbT6JjQAZI-ot3KCvpkGAO50THCqtBo-m8Akkm4Clq6q2gNUuhzo-nhZ0xOr0VLS5-ktI34VMCg0hsEwIuQs6uENUU62mz55MQpGavQe01QdIk3DspYPQLiKYeXWcCSYzwrGkOpr9gbBPACvjLyep6ojp6pJGbnwuXK6r5zrK-qtDT2gGPJXF0HpXup1NThN7gcJuta9FlZlYAtvO5W2W_poZTw0l3_AGqWJfEKrjRYNvBSJGX1mOqXuCIkccrLRuoe2G1GFxbmBtCdNagwwA4G-xOY4U_xmASWAuLjf8IutP6ZRYK4cSA1xC1Ga91rgRp0jSbHwVv4yNLXpLCM2AHCMt9Gs1oAjBgBWerjQHGnFg8ONvddlaW1S2iQ86Rp4SjVQqgFrjMWiEz9BHODjpLrgZQI9rHEAvABvBCJiPpCpre0AniYWLMVem4ttc-ThZGGtUp0nu1sGkidQys3-2kOgosqCTVhguQ4SY8LnJPVex09WmH1GUqgdbudHc1bnKXqIydZ1NGu9zKrSNbSA51_lY5TasfMdTVqNrOBIcB9JAXLlMdWdx9Njg55HIO3hc2oSk_S6mJAOynwajYzMFxggBZrS1Nul4hl5jKxiY2UWlurVIA5WTutAbmYACY6qsDWwY__AESqNnSTpLDcDhTRtptAI_bbEKWjQ3AyVnRopGASSCDYQFi6KOcWnULhuWlWCL5qNJbDTKYM7y4U4Nm4lUZ6TpqEF1iLK_Qa2RIAJ44SjO9xMaSNOygn60yP3c-FOxopAsGQRkFagk90PIwCrgt00PuLNGSunxfWgEO1AG-JO6lPhLNqC1hbuKmG5HSch07FYq2oPaZ12cSY9li9IWYJi_sud77F2S6w7QLjThabnXZ2_SRq91ZHRwqQ4nMjb-EvSHa7UB-1Za0C5rRIjP1DKJolxOD8obgtqtIALr-UagkF0gXvmFaq1hIiADMKDgIecHlX4NLIMEEEttAWQwJ1kF1jdUaqT5aRME4W-NStNIkvtgDHnlevg4VuYXO06jBi_C6LjP1IBJiDF5CzynRiBMm-CPuuGb66yzEnvJESsY1Y7p2_5k-ZkLc2OVavU0t7rrvGMc6cizSiw1PuvFvdc6p6gGmRxb3UWalJEE4iPK4V1in0g-NistFkOIP1E7JEc1wLtO3EpSnjMgxzwqotHdaAVcZxUvBaQXAnZKYm90xwB-Vi3FK1xe4Zvclc1aaVKL3BJ-yrcipEZ_8AtZrbg7E_hZZu_F2EGdRSrBi8G_BCvG9CjWk4J1BXd8NjQJBaVU_KKNi3K3E_IxGP22yE0Va7Q2-FpgriI1TYYhUVp1AR2tgoKtgzIE8wgabi9vZIK09wSBK0OIiIgjlZoNODtEb8p6Hc0QSNlzsCl0zsRZZahCNMflS-Nwp38fgLnqle8m23ndT0Fse3Cuhw-IIiN5Vno0U6o0j2hdp4ydrwGhRgrml9ys1uWUIyWj8rCWi0fVAAIC6RsC06yWjHClCvdYX_AAsUDPhZ0KGkusSWjwmBXnUREhaCtkCCBcpgaAdrKCRMSRHlA7gIAOchWAMacR3DITBbV6djdQL9Rke4WfoYyNsrcDeoCIIggLfQV1QCASLrNsSlMiwuDZZlT_T02R-6CpbrQmSdMz7qo5pEgiJUqtFJxc28BJNFbzMwFZEmq6tQAkAxsr4Fa48R5Kzb2NFOGPgyeVuXStAEjcgbLrI50Q4_72W2cXaQZiZPK1siLMa4YAulBI1A_wArjyWJ4ta65qLWuiZnhUOLAbIEe2INgEC6tU7DYoFd2gS6QgLXyInfCDnRM-LIugDO8c-VnF1QNAblaZTa0yYQVY02tKC4sZg35QcW6TM3KBgBpvZAzYLrC6Dg-Di6ChJAHlA7JJuZKQqrCIVrKjReZvsqKAxmQFYOiXQIsnKdjtBaQd_woASRAm3srOgGGSdlaHgg5-VZkC6fhLRzh_8Ao-eVgLBvhFgsBxP2VSiWu82S2Ak6mxqupGb2LbHyt2qpqjNzwFNVMmHZknlS0IbOlQc0gkFxkpKldEmSJK1qSKAahHmcJvaWCGwfC1yIoyC4SVSRZoABBwt6nKYqIDQMKxkzXQSN1oGQW5U1XNIJ4VZq4eAB7YRjCF5daIWgBYEHClEKszELlXSOZbP3SCjL5WlGLZjidlQuBe8brIAeACJTQ7DF1qMcp0q0FwN1WPHARCC1ASJn3QaGNGVvj4HDSPJWgrwHe6xVpdMLKATpB9kblK44OOUbmuI1QRdAdJBRjw0AAkmZUXWd4vPKnrQQZxI5UNg6XDYgg4W_9WO9RrGkFwDjtupIzbj81_8ArC_6q_8A4_8AoH9U_pP9F6tn_wCW_VaBoPqz_wC0w5v5X6X_AD_8vP8AlvGzyXf_AKOV_l_8v_X8sf1L_od-tdK19Sn1XSdQ1t3APgj7r7Wcunz3_lcr9fCfrP6B1v6HXNLqqJYf9Qu0-xWnK8bx9ecjLkHIPoP6G_pHrv67_qz9J_p_9Op-p1v6j1DOnpA4lxifhcP-j-bj_B_Fy_l5fHf-DhP5P5OPH9v7ff8Apv8A-gH6X_0A_obpP0no6bX9c5od1nUt_wD4j918Ffz5_wAnL-X-T_3X_wDh_wD0fU8_5Jk4cJnGdSf_AM3-tTrBAO8rN6rzugh2U1pziMFZWTsuqT3KxKeYO8eVdZM14C6Si7HAt-oIOc69j7oOY0E5ug5ztWREYW4OdgDxKtDMjTf4WMCVACbCFBLSQVnGtNJEyZE2UxCucZxKvhAkOB5CyOm0GwCh2Ztj5WxQOnKsqHYI3XSXQ7ng2m60Oa0CAgLTcHAQAPkHaN0DTbM_CDgXD28oKh2kZQAvLrygJtjjKBXe6CRcMFShHD5QMwgi05TsOSATGd00MDqMmVR1vY8IBAOEHB5gFTQ7XaTZSAa5OVdDNt5lUOYJKBC6_IQESTwPCBH2OUAs3wEHO_7fuoAwXE3JU8DuvfEK0c10NthA1POEs0c9gMxZcswTDbxgLpLgcDSMrOjm4yqP5yFpaA0uLgIiAv28fiNjXl7odJiDPARG6jUBe0uEtNhA3TDtoqMDnQ4AN5GQpVUoQLg6g031BT1VaNcVKotcWumI1te6tcENA2G6aPm_6q6Yekypp0uBMRtwVFf59-rtrkGnWc0QJJacyj0cXz4p0m9Q9suAJAJccrnkYy29B-pUa3TODmVPTphnYA-dQ8LPL9ulj5Tr2PpnRILWySW7LzXq9NVipPc2mJabgSeSoj1_0vpX9S8NIIZEkldOHG8qPr-iaKdJrS2IAtC9cmdM2tQGhwsL7I4eGaNbpgRKHq1OmW3ktGyrUNoJfyNwjo1U2hhvLvMoOe0EkAWiYIQTdRMGCdJweEEagYDa8ZJQDp3wRABQra4eoCXO0tiBpyCpXKq0HydLn2DJ1c_Ka1xvTYGteC7UC4YjZZv9LahVqDUQXEEYEXSXOmpTGoHU4dd2JGPlGvywlQmo1rGkhsAW_KTDdCj0Y1Oy85l3C559I0g-mC0AaYuIvC1NMJ1FdzmRTiGtjSrv7VJtRzHB5gDk-yliV5v6rV9KmNJAEYG5XK9NSPnqgdD3CJMdx25Wa0NOqAA10zkH-yzia2sB0fUXHaMSteK3U67u1wfIblo5VR1cu6mkXE6iMFZ2s_WIEagbwLI0002_5PcI4ATP2O9IUy0gSRmQhqfUuttEJINv6VTYaIcT3bWWpO0rc59wIMOuqwvSa1gMyX2uDha499L9b-jc17zMQ3nddMitrZI7g0AmxVZtngaiIg2E3K0LtradIAENALVNahyNQdD4Fy62FOxN2p7wS0aUqVN7wNR4j6d1ztO60U3NcNU3mwO6hrzetpiS7V_tCldGSj1EPLaI16bETcjgLju1NejTqvFd9UsIBIBAF1qKf9RY9rDrpup6bNkbKcpV-vB_VXNOlwAFSO4gY_3XHk3HmuJim_TqB3O_uFhqDTphznSZAPCw00tqaabg4GSIA2UaaKBhw0t0zvKUbQR6kES6wN1jYs6VpVZEAtzBJykI0sJLvqMbHlVpopODagzDtlmwbaRMjGN1lKu2p2ltjz4TCNHTe8k-LLFVoBAFonyoM9SWU40CeSli4yuqPI0lsgibqSInaRIgjK1AtWq0sgaXHY8LVGV1UuAJuDaDsomo2cZG9lI140Nq6KYAF-Dutw0jqvqasSLwMwqjb0QaWmXbAR4VgYGHksEtGSrq2kqVJNiXF1wCFm9htcjSDEbeVjEQFg3UdMm0Irg8taZOrOMrFM1VgLRkkxNv4UjpMzowAYSJN-VrTKMmZtEYWb21QeSBId7-VGdwW3Z-cKtDMgi_uolAfVJxi6NynmBAMt_goqjX2ERG4RVWDUBJtvGUwVDpaIzzCAEF4G3lA1OrpuMgcp4NfTdSaemxNsLvx545_i9Ol1LajOHeV6ZylTMaBRFabj4WkZqnTaHGMYC5XjozupFhFpG4Wbxalc0Fh7h-FCq0xJM2JFguvHqM6sKdoDjJGEzXO3sABTOZjdTFlN-3EqVvS1e0RHsV5766S6mXnWC4zGyxWtMREWdBtOE1ojCdUwPdNZOHuLiIMcKxrVaLgT3ABy1qufU0wAJj8rNRJ9R0iQBPC58g9Al7oBNt1j63JK1fS4jV7FVs7n3DYkc7oKUafYZzNyshi3SbcbpieKUoEkkTKSHS1J8B0RIvCnH2udUaCXTOki9ltFddrzHK1iwzDIJEkhNXVHMtE35V3pl0ajax_lagP03iDuOFQ7DIJmPCC9N3lBaCBieEDOEtiMRMKgNsAApgoRIgGIypmhC6GubFgbWus2dLE3nWw87LDogd8Zjyud6VwGZFpgLGijSHNANo_BWhzQIAIk8KzqjSABc55XVztVaRBv7oybRpZqi0pYqTjcSbnhYzGp2IdExYqzfrbi9oiM7xupaI1Hg3z5XPuBw6BGNrJgmRqMxAG4VTR_bx_daVNxDoJtHJUtC6jBP4UBaQDLrjhAxfpaYIN4jJT4EadyYQMH6iBqHsgMaN0wE1RABmU8Zwwke3lZ9XHGGkfla9mKGouM2kXspOkUY44cJJ8LUiUwYS_wCbIyrpEgN7QMqV0MwEuM5V-M24oe8zMeEZtO12wF9vClpDbzN_O6jXZ2WIEyd1ePvRWkSIzfcL0awe5wPutbEPTcZ88Jo1UiTvB8rW6zTuwQL8kLHKdLKi0htTSQuKqlsWAiyBXEgk7YhAkEixsg64MzbjlBOZcYtvdBSk0BuSCUC1Ya6f9XJUVwBI8cpouB2-42VQouTN_YKaaIGkyU0Va5rgIJIVFcNlAhlzpBtCB2kaQd1NNKbe6BmlzkF6c7gKwUlojzm-E-ph21NURti2VpDh5xBud1Q7jJz5U3QpeRungP1kbrcuwEsMcHZZo4HS24v4SejnXNxblATi0FArxGLn-FAoebXugYguvq-EHDBuPZA0w4l26tCOMumSIUHASbGfKAEDZGfpQ65EA-SjQtMbmArA7H5T6iggOyuk7TKozJO0xCnpqoyLrpIm9YowH390n9snNi4yFtcEugXufaywhqbJvJA8raUxI1KxgQ0xPlaxNcfCYiLwQ6VzrtvSYOoE4CxKQzSCPqVKoHR590RKo44bAUtjedDSbMzGFGVhAscQtxKbV2-3Cus4dp1WiR5VZxopnm0cLUiKtN4AtyV0-JVJ91GeyEEXWeTZS4gg_wArAm4F4OyOnGiRYTdG9KSQYARKcTARizsHOGmM-FKSYleLHOyz1fW-sf4l_wBVv_VN-h_9Mesr9BX_AEr9Q6ypSHdVp0j6YPGpeD-P_q5fzWz-OTq_bl_-j9b-H_w3n_PJePKP8Zr_AP6xf9Nf1foM_SG9xka6sGF-z_B_D_N_Jf8A1zJ_9XD_ALv-X_8ABdcq8T-q_wD13fqHV9F1RYzpv0f9OZTJ_wAQXS554av3_wCD_gkvdfgc_wCfj9fk_wDqX_1O9H-u_qVWvX6fqupNc99R9iByF-3w_h4_xdcX5_P_AKJy-Pjer_6qfotaj1Ppt65j6jjaZ1D-y7Y5f-bP0_zb9b_Vz-qV9YrVnMN9FQzp8BVw5XbryijLkHDKD9T_AP6uqp-k9H_6hOn_AFL9XFAUOj6Kq-lU6gw1lQwAQecr83_xDj-X8X4z9vd_x_8A9zX9daP9c_0_1NAV2frnQaYBA_xDf918dy6vb938eV-PU6b9Q6b9Qo-r0telXZA7qbg4fhcdl2S6uWdYpVeZBk2CEjmkEA7p9U_mF1jnXOOm-ylwMxuq8wrEWExAP4W4DpvlUMLYypg6wPhWDidQ4urQdQ5CgWSLZS4F1CYi6yAW7ohHGNlmtQgcDqEXlRXC5Agx5UouyI2laiUrneyiKMcAIW5RQQukAkwTuEDTqthUcI_3QPJaLDCAaiARzdA94QHSL6s8ICTA_sgQnt3QTB5uFgcbustAPsApoAMpILDnnC0EiHfygOoajA-EHF0Qd-FBwdIvsVkMDLdlcoIkb_ZWAnKoLBqFxdBQfTYWQBzQ8eZQAtaPIQTcNgoB9H9lPQSTI3thaBAwpoeBGb8Kgb2XOwGLHlZwBv1XQOIG62P5ysJLxNxtwv3X4caSG026WklxsmI00pJv7HQUq6qCS6GmMWiT7rne1a6LgWkapODAyrDwW6TpIuTbhMv1nZVum_ztTSIDTFrKSa08j-qGCr-nODBL5jUTgQlWP89rNaxzATDoDb3UduNjzv1P9PNTp_VIAIOW7qVZY8g9aD0VLpq1HsabEC-VyttuN1436h0ZLBSYQZcY5nhceUxmMAolrix22B7Lle409z9Dez1TTJnULThen-KlfTU6QpiTqdJyvRKwd9IWM6ScSiXit07DfA_1RlEnQVnaWmGmZRqOo1CDd0Rzv4RqtdNwgh2IkHdEUB3mZEQUFG04aG4I3OERlqMaGmwByUE-ncDVOqQ28RYIVrFP1CdV2gfClcr60BjfTDYgk3aReEZaW0zpbJEgZUaTq0pe2oDO1xlSrJWSsKtMaWjLrzssulaOne0tc2bxclU4ndTPcW2EJOo0TV6NbUDfBI2Wfy_aaJ7mOqwG32NyntGOs9wdJEgYYtW5Gni9bUNV4AItJscLl60xNDSYg3XOmup03GpG2D4RMbaEENbdoB-Skq41tpS5jIGh2wyVvoa20yxp0QZm3CmMX14dWo9lVocIeDjyjcbmEt-q7tMwmpV6pkMLjZuIVxGPqKQc9rWkkkWCti69jp6fp0WsJ2-JTGfa0Dvc2CDb6jn5VkRakCGkZbkuNpWkXoaWNM9wiwGy1FbaVQekAHXGJVSdqh0kkkxH7VV5VUNDRJzPaFascapY4gjLZgjHuspKzsqim2LmTnhXWvWukQ6gJAAGDyud4_oWLmtaHaLDcZSxI8j9WpOqUSGhxIGSsW_GteP01fqOn6imaYBeJjtxyVxswfYfo9ZlSi6vVqXedGkiPwunHPa02_qXRP6ohwc0taIOnC3znXS4-O_UaU9WWEXFrYXmsaledUo2AbZzDaBcrlf00i0gSIDZvMZWcVbWHTbUQMY9lhuL0CdDQW3F1MVtaPUI03kKdb4mNFANpTAOo3jKjWNDHXeJBOT_AMKtKUNRggXBvdKPQY605IwVgO2oHSNzaUGlh7WiCCLTKwL0xAbYzwoJ1DqN2gHypaMtUab3IzCfBOqyW9omRmVTxncdH_xByqM7QHvJ1WcEZwGNh1jNt0vbS4giY1QtSiLqQa4kPEiwVVSjXc2oNJj2RG2m5rmgOMDNsIJVTMtGMi23CmhHAlpOo3OMKAsaY0mwBUFiQy7fkFYsdJCCWEAmQTcqRZMEME4MSTmUxtRpBMYm90jNoai4QNlaSa6mMS2J43T1FHVMwWxwpZgnrdJkAqNRQPi_4hVvFQ2QbwQJSNYZnc0RncFavRio7dwB5WEHVr-NsIOgWIs4WCAtqlhPdKs0aqdYRabLWpe3p9F1Tnsg2E2svVw7jnWvWHxxP2XXESqCSLgonaPpzlonycqVDiGtvnF1KxTNJtFzz4U89AAJJkfCLFYsJ7vKzybzpBxuRtNgVw5N8ZhXDSSQDDtysOgNYXPEkc5WcXRiHCRbhRBMOgiRK1oqwi2PlGoSowtOCRGUqUHZGkQTzZc2z0C5r3QM8KLx9aNQdAAFrqW61bhywjuz8rMPVm1NMQRiY5V3sVI1QQ2BFwpypQ1EE6YH9k-J4s0gtP8Aq4lakYq9Nz8TA3K0imhoA5OFqDi476YndasFG7mTlTAA4NcLkrQoHEgACVYKU2lzriSpRZr7FsdxsgcEmHTmxVgYkg5VDh3aIU0Fpg4MD8p4EqEwXZGwWOSxJx1CCJJ3FlzdIECSCRhZsVMgiG8LngYVJ_uEnQYGRkEjPKu7RopvDWyC48jK6sVcSDeVYwZp7Y_hWiRbpIyBMyVijgdzEYCrpKV7LxEg8JjRdGmRnwufLwK6SZ22WAwuJBMGysmds31KJEI06pgBsQoJvIbi5m3hAPtPuro49rQQQL3i6QUa4ECQBfK18CtadUkQAchZ-iznYnHMK7o4gEjBCABxHm6vQZuxInm2VAHHQQLXOQpmh5Dv7XWsxnBpE67DHKKvpkwcqkmCARf4EFTYU7ZImLjyp9Y9FuBsTsVeqTq9qB2mACCNwpvba1MajmDstTosaNQAJiSMSujnhSSRIdfMQrBQuIEyeRAulGujUBaDvyrGas24guj23W_YyhBFQ2zuVw5TtpRtSc7iApmKRzv5QOIbugRxu6AZ28IBpOv-6gowhoJgSAqEcJyJG6zVgU2y7AE4ChaoRE2gDZa7QNZ3mFBUibGCVA7KegZkLYobNAWgBgQLiywEdJdY4TEM3tk7qB2WABBWlirSRkrV8a8MWyZsPHKyypSIImD_ALK6UwJk3nyrrKgkGygb6j3BWq5h0kgEQrEcCDjI3QM5rWtMm5SBS6AfCWfQozZZ3Qwg8rQRowR-UBOo8DyVAzYjgq4A54zN5SjnSchDCghog2EqAeoDIRPqZgb2RVWvlo_K1oYCTqHsrOwSblWirKk2BxdI507HH78q6WtNIxcXXSMiX2iB5sqrpJvCyirDDYyVqAm4dz7Ks2O1EZhdNZwSIPM8JpiVUiIGd1y5OkZTIJvHg7rmuKMEjURP9ldRWYZeyauJGHY3WG86cL3_AAtMLtAviTyVpDQQ6-IQPTkTb8rUYrQwC110iVoYdIvdbQZv4UHA2UqugPNwY8LOfpf8IWhp8KYvGplxLrYWfGx0gwTnwg4GABsqzfSVBiObqWKGkPABxEeyi_MeF_Uf9Jfo_wDVPSv6H9Q_T-n6zp6lniqwT915uX_N_Dz_APVy4d__AL__AA6cP5v5f4-W8a_lx_68f-gH6H_0l6vp_wBV_ReubQo9ZXI__HON6flu8DC-v_8ACd_H8d3_AH15P_Ev-r-T-b-Ofk_IXVfq_V9X09Hpq_UPqUaM-mxxkNnhfRzjJ4-att9YpVZBByDkHQgZrTmLIP8Af_8Aob_T_TfpX6R1PXdcKlPquoIdT0nTpYBb7r8n_u_kySa_X_4uHtf6p03WsPpllcktJBLnn4Xzn8k_j5_-7t-7w3H6Y_8ASF_WXVH-t6n6O7rC6hV6dz2UiZBj-F8z_HOP8f8A0y8L09n8s_8AyPH7AcZee66_U5b8fnzFKQmCcqxizVA6F1lY_wBO3uMgJSGnTm5KsSrNMtWkcTaVv4GF7rNHGIlOIGQTytUcwSJUDYPuFkTDQCeU8B0y2FdEXMlwys8v6WFAh3CyogECZm-FEPCq1zR3HhEhzkSZV4lVYL5XWUHJVQS3B_KoYuiLTOPCBwJF3Y35QTDjJCBxygZsRjfdAXDYIJOBbbIKBT2m2Fi-jtQLzJWgNU2GFAGgm_C0KmoIMRhAhcSZsoBqIi08rOhoLsH5WtC3kZhTAzHFo2WhWzslBxAcUDCQPKCgKAakCm8WQK90GFAhkwq1DMgQhT5nnlYZIASVdDlkbXUvYBmSTZSwHYwfusjmMLhNh8rWj-cHT1y_BkDu0lfv4-flrZTcasguBqN4TBu6dpDItIMwpyjUaKdIag6RwSuTa2kBsgRpyOfK33O2d-R0tbSJY6DloKzbak44NCu6mdLxOq61xjYfqVKl1nSmmQIMbJelj_OP1TohSrPY0antJMtHB2WGnnN64FzxVplzg3c4-Fm0fPdVSNbqC9rP8wmWacCFizfG5W39V_R6PS0aNZ9RhqvBkzf38KWSTXTHyvXFoOtg0gbC5XmsztbR6TqjR6tr4MWOnhOPLKPuulrMrU2kA4wCvdLsZvXdW9EkAyARvuqzuqNBaNIIc4iSiEq9MXdxnTyhpPRaH9o1DeUO620hpAMSeOVNZ1VjDUItHhVuXVKrZIAxggo0z1tLmG0nwjNZNY1wG2OATdGfj0OjfIH1ZuDdGWp0NqBxsTnwpRRlFus6jf8AbJWcqRzHlriB_wC2BBP-yuNS4h1LicRoiCs2N2fSUwKjmuILqUCQNlWr1Gv0QaZg93-o4jyorC6mTULrVSHQY4xdZZPVeKZadIIbIE7q5g8frK1R75a49wiSsd1t59WmGkumSBfyi6QaTABsccrnQaVNweASCc23VjTQ2o2i_vkAmxhTA9F7af8AmNLteBG_uFYi1N__AOzVqsgSYg7rfzUeSatSq46SGnM-Fm9-q29IajdTqjxpIAj_AITEx6VNuum8ueJIsBha-Iz0KE1O67gdVjEKDcO2WiRbnflajP1ppBzzewsI5XRpp1CnAfds5Cl_Sf0r0zxpIDS2ZgYkKmKelDYDgCBJCqcfGqg8-oIdFryFU3vtZoLm_UTJvKrXguDqrIc4C8rDNjFVIY67wSLrPcWLs65wDA5w9NrbmEtaUf15fLJBAOyndTsKzHPovdqGmwgnfZTGmWlTot_VAa0EhsDYSudnZF-q6Z_TvqijU9ZpdfaFOUrTfT6hzuhfSAcapEEByn5WdNPHr9IOn1NfGomWiblZ0eXUlzzADSAGgutC41qIluk2ILhwsfk14VrNBY65MrDfrXrLqhAgEjcoY3U9FNmmNMCZU_tWgGWgtz_ZTY1F6DBYOzn5U1WinUJIYwafITRpJLmOjlYoFJziwA2A85UujfQZLBifKng0m2jVt4WfRLqHNcDpaZIyl496I1nwJkD3VgxVXODWibNt7LXRUHvs0yXOJyMIJEkAzC55gU1NIzA8LeilMtdMT8pEoOAcRqAt8LWqWkdLyLfKgv6ukSCQ2Nt1dFWPLiCbwMz-Ek0K9o1AuJgcLPgrSF9WkGDmVPQwALiQ25MnyFXSA4Aanb7NG6xemt-A17ThoxJPHhNZ7cKd5mfCLYIeW5_-wosuHB7QWgyFYt7K_uBaHQc8JWRpuMC48QkiuD3EQARO8qN6swgnUbkeVdb1Wm8kiHAxmRdZVVpa0dp7huEZoQckgTygPvaMEIFDSScEHOyaKslhIiPCs_Y2dLU9N4M_Ertx5d9MWPTp1HVGGN169Y89dUiAJ33TRHW1rRuR5WWaq3vZIyIyjB2NLe4RmCr6GAAJIt7pY1IfV28ujOwXOts5bDgJkjdcOTpAbdl7tyZWL00WDDgHAjhZ7BDiWx4yoCxna2wFsyrgLAS1x2G8KrDy0GDe2yzWiPJIbfGxWTT0i1rZIBUalxUODnYx4Ss2nb3EzIjMLPrU5LlwBb3C-xCkjRnvOD2kbq4phHacD-VRdneZB_GVqM2LNLWg6jEYhPWMXpw4DNuFuIZzCXRstAy0OIiCoE0S4wSCpodvabQTytSjQJINgT7oGpkj90c2wgox8NzhXwBzydxymhqbpybnEKChdqIvBAS0K6QSZErnasTeyZAMLLomBscKWqE6nYO2Vy-ikCRFlMBiDcz5CsFaURwV2Zs1qEQTuVqRgDE3k7JVgmSxzSLLIjBB_wDjiyzFnXgkm44TWki-c5UqgH3Mg8BTA4dzb-IUoBa2D3QCptEdV422lZEy4AyUAa_UZmB7KwEOsOJW5N6D6yQNMT5TJA9F0A-ThMBedRsZ8cLOYBrAbpAIcn-hi7QJ245TPsDa9AJm_B2WgNRcQRabyqK6ZbAMjygo1pbYHt3CaHLpP0w3koGw2ABB4WUs0wcDFj8Ks5hnNL3yLFGthmMLReCeUyDVSEwcqxLTfT7-Vtg7RpdJiEM0_qAOBn_ha08UZULfY4VjNaGmSADc3W_UM9oBF_uscosKGywEf_S5KHpw6xk8oGLdRAG-6Di0t9uUHBgt3W4U-gxYchULUadRnPhB1IQZ8SoUxiROOZVCaTr7bA8rIsO29ifCB2v5NjtCamucSfbZVYMw6dtrqgiYlsDyg7US4jITAwzbP8Iqjfqtf2Vt1b4Yul5m6jKgcNIaChe3Nd3Hfwr4mK69QF48JqC46B_srocABue7lUEWN_woO1GLG_CsHHyLpQoboOYJWZA0CMGBuqAAC0wYVAkf8qAg9p0iFqAFhb5KtiGyTeU6xqVA55CwFAkAk3lTTBJJPgJrOma6d4A2WsVYERjKo5ogGSmgsg-fC1KzThrtbSJI4WvXNcGGkAAkLUFWjtH7SVpccJDgfxClRYGAIyrocEAxmcpL2zQ033AW012oNNlRPqGmJEXXPk1LjPpMiYJXK10nalIkSCcflakZo1TIBwpV0gsIWcNqjW3BC3IX9qNkXz4WsZEgOIMXT2qcYP8AZWM1dlo7rLpGGgPEQFpAa7uKBsKVqO-kSkAcATxKlrMqRF-1Yx3nh9gfCJob34spaz-JQzUZIIMwCosjzP139b6H-negq9f-odVS6TpaQJf1FR2lrPcq8e-19_8ATH4R_wCvn_6yz9M_RHdT-lf9P-lH6n17XFh_Ueon0WHctG6_a_5__Dv5f58vKfjP39_-jwfzf9XD-Pr_ANz-f3_Un_qp_Uv_AFX_AKgq_q_9TfqdX9R6tziWhx7Kc7NGAF9P_D_z_wAf_PM_jn_zX5H838_P-e_-t8gSCTleh5wQcg5AdMp_q4v03SVurr0-noU3Vq9RwYymwS5xOAAs8uU48by5XJF4cbzucfX6e_SP_wBX9_1Krf0L0v8AVdfpaLaDqf8AiHfpzJPVNYPGPhfh_wAn_i__ADzjfwr9Ph_wc7yk5XK0fpn6eHUH9FVB6Tq6TNHo1BpcSNoK_H_6v-z-P-fjJ-vP_wCtfvfxf-H_AM_8U38ev23dD_RP6_1_VU29BSdWa5o1U2sJifIX4H8n_T_D_HLOV7j3fx_8_wDJJknT9if-kP8A6Jfrn9OfrR_qf9cpmiPRNKmx7YJnxsvP_wA9v838vH-TjxzhNy_up_085_H_AB_-XfX6scyHHmV-nX50lxanYTYHhGKdrSZnHC05qgYi0LTWiWxPKqapSAAytIYt1b3ytaCBoQBw7AVIOAJAOy1R06ZVg4PtHlYHCDN1c0c4iLrIm6Tf9yDo1DF06AcIFlMCnHzKjR2W90SudZw4VhVp7QtxBDbEkrpAwcJg391cDCAbKDtekxCDu11yUFGNk-FA7sf7KiUwg551BBLmMrNgBbc2yqOAgRgrIo8AlaC6RIxB5TR308LIUn4Uln0MHRlag6dW9uFQA2HcqQVDB9V8LQZsNN90BAMzAhBRt8GEHAG9pQK5vhQIWktkpgGnSRsq1DNvKhQGqCsMiHaVRRj9QIm6lCx91NHNh1jCgdpa0QqP5m9P1IGglxJMWyvonz70qNc0gASHDKbcZ-49WjWENIIEjZSzW5Wj1Icbz2_TyuOY6ei2u_VpcC0EWC6W3HKZKSQ8i9xAK5Or0KbRmCdpGQteDP1rajqRc1xGmACN1eUNfE_qDHUNXqBxcQbg85WB4fU9P0ZqM06tYIaSLk-6ixjf0LR1ThRqHTS7sYKzjW41Vf6c6v8AWm0vTBD3gtDnC5-FbN6dJy318x-rf0j1PQ9WaNRpqvc31NTREcheblxsrTx_RbUqBrSW2y5cfKvx7X6N1R6ar6Ln6n5C9XC6zmx9R0vVeoYcdMiZhejGJem_TrZIMmMgKKTVLT2Ebe6Ms2mJcHdxNgNkdJ4pRfYudJjMZRysXbUN4cPfdQnRHVcEyTMgqtanUOo5gzsiazQQ4lwybItaaANF4Pc4kXCMvUovHU0yLBxba6g0Um6maojTaSgg8VKhkP07WwqiVU1C2YkjAAus13ncHpqoDIkwTDo2CZ9ayVqLmDUJAjJBz7qXU86YXsdTcCGkRBI591nOzEOp6r1mEN0tyRISxl4jtRcXGJ97rH9NztnaNYBc4wbQi46oyAS2zgQApSyNXSUmGg_UADgGcqJpKwptp6wTINgo2zl9UFmh0i5DlYnZmMc-mXEkgjVJwtfMRjoUWm9R0GbcLNZ1qoyH-oe4uOhoH91JdaerQEyC28TYrdZ0-hwJvAOSeFqTpWim6XwSYjYWK1BWk-TBktP3VqVppuaO0mADPKiXvtoouIbpkzMkEfhaWNFKRkkzcwkJMXY4NaH5nuK0znbS7ubDe-cIl5IEPcJIjYQhsKOkAdD9JB3Ubh6lEeiQLtbeCs2aqNOi5r3aj9WARdTEqXXdS7pdJe3s53CzWvWDov1IdbXa5zdDXPloIXDNqx7HrVOjBY2HveQJIsrelelS6cdTT9V1SK7BENEJ80Y6nR-tXLtDngyWXlc8t8XXjfqdINJEgkRDTlYsqvIfXf6haQAyZgm8rGNxqpt0wA6BsFm9OkaqLmviLu5WLF1Zs6g-ATEiDhT-k-tlCoDAjU0i8HCzjcbmMD2mQRHCn9K4OkwIbvKCzHl2Yj2UDU3AvuLWsqN9KqKbsNg3BOy5UanktaHWEm6QZnuLnkXEWTOhAuJBmIxjZWDNUMmAQ2MEhBnqMmDg591dXekHSXQTjJWbZuI4OkG_i42WbMFxqLSQ6SIAWoynVl13SCPwqsLTOp5cCDH-pFFzx-24GLJo6jUOsSNJGVO4NLHajEkHKb2LMe4AgGSdwnQoXciYyquldDcASfwsVqUrHN1aRvmVlvFB2kGNoWl0jrm7bAQOVO0PTJcIAJ2WtxNJULpId-0XJS1XUs3-gXU0UaZMwMfAUzV0wt-4AYBG6NnYXtd2mQOACoa0NlwJDhe6KDKhMggGOEBOJO2yJrp7xIOlXDvTteOYPEop2V4cCXSFqVK9Xp6sMnAAwvTxuxyvZuoq9oHOy3bog6ppaRF0SxajXFg4Yz5VYsxspPEiNxIBVWAXEkTAvdVYZplpgz7bLHKNEdU0ENgaTkcrlY6SgXNMRhYs1ojxYkCfZc7CkDsAE2ys4najG6vqkDbwtKeYGkCSBB4UaKWAun8lZvQAxsQsB2mXACC3lF1Y6v2nZDPrhIIvvBU1cVaNLw0nG5UkbkOcgB1_CtDB5eJxFr2VhLrQypJI_hEtXuGi0lXxmtFIEmYvwVueYys0jIGMFaCGNX91KODDAvblOgwI0XgXSBqb4mYcPCUVLySGi88KaAAYJjfdWdg2mbY2S_0LR9MRA3CdhhUloyCs6O1k5-6liwlR5AF88rG46Iulx3DeFnlVJ6puMALMgqyoHA4nyrUFhOeFeKrUiSZO62jQKkNjddJXMcmROFahWuNIC1yuTpAmXWIF1M7VzyCfP4KokQS4mZJwAFiq4nSTMkxPCyENTugXGU2AGprtEk7BNCaiMm3lJMSkqEOIGqwGYSq79sA32TBzWx9Qv4VgZo0vvjwmiuuDawNoCmjnOAwYJ8qhJP8AyoH45Ks6geIBE9261gDiWOA28qYKsdYGJKyKyCbyfCBnAi8x4WtZ04ZpcYxsprQuJuQRYTZTxinY-84QkUa6Tpm_jCutr0XAOuPskSxQkhpLTDV0SQpBDRF97onigBAF7ZVwqrQTvK0yowmc35VjNVa8uAkxB4U5aqhNrcriBMzDYiFQGktAuZ2hQdqgG0clNCk9tve6AsOoySVQS-0fcoCGy3ygnUIBuL8oGpPHPcNtllcVcfaeVYhGyTyqLt1b-6gE6XAAgqh2kY4KgDnw42825U0cHEEzuros1wa0QbnhUM0gYGo7qA6yYAH3VgaQBgAq2h7ZUBY515-ESqtENkjK3EFp8oOJLZtn8IC1wcMymAySTkKAOmLCPdUcAS0WzhKOERBseEHZFjjaEBJ0gTe2ISiesDaD4QCobW_CzoziSbkx5UaVYJbmEjNVaAZ54W7EEjImVJQs2vjCtVakIAjfdXilMXEidJB2XRyWZA9zmFqdirHgHuyta1ol1sGRvKyy4VJIEGEVRri1GOQhxzCusCeXLUaji5pGm8JWkKgMARfkLnWp65sO33VBdZpvMYlZpPU6ZiNUFJWr0u2pxKrCzSY4JW4ODjwVAzWixm61IlWaC68R4W50xikwtIIMXx5U8XFGuBElPTwGk3P2VhpyC4iZ-VbGUYBGd1yrtAMgFx9oUaK1wk_uIE-ylR4f9Zf1t-j_ANB_071X6z-u_qFL9O_TumbrfWrGJ8Dypesk9pJeW58fyY_9YX_rV6__AK8_qB_RP0AVv0z-k-neYZqLXdTBs50HHhfU_wDD_wCG_wDl2fzfz_8Au-T9Pyf-j_tll_j_AIv_AJr8qF4iON19Fr8chMlQcg5AdKA-mfCp6-s_6d_9Mf6h_wCp_wDUXSfov6B-n1es6rqHhgLWnQ3kkr8__s_7_wCD_g_j_wDM_m5f5Pt_yP0f-f8A4f5v-i9TOP2_H9P_AP0w_wDoG_Qv-kZ6b9f_AKp0frP9QgamtqN_y-ndFoH918T_ANP_AGfzf9-c_wCTrh84zr_5v_28fu_x_wAP8X_LM_i7v7fsPpQ11JrTttP4WZff_smfqviP6x_6C_0R_W3VHq_1b9B6St1RP_vMbpd9wvNf-bjyuy2f5cj2fw_93_R_Bs4cuv09v-kf6F_R_wChv05nQ_pP6fS6bpm_9sl3yZXT-L-D-P8Ahn_pnf8A8uH8v_T_ACfz8vy519DRGkSD_wDERELrf6cJ0R8hwJuZus1uXYemwRI25SRnkYP0EStYximqRb4VMIXG9woigJABGV0gqCSQqOfsTeEAD5-dkHagDJ-AloUm8AyFYCyQVMALpcRumji-5MTeyAOtgT5UCgzfhApN5KlBI13AKy1BBhaiVwiZKEVY8He6soYm_wDK6ajh5VFNWL2QHVOci4VClwJ90Fqb5aIuEDPecAIJmRlAMcoEcYJCmgklZtQJm8SeFFFr5iy1oUiXRNoTQQLjcLAJAAM2CBXCwvKsAaSJW90ODeUgb1CMgwqGaZIMwFBQPAxdUHVNwECueWyJhAGvndAXVLADKBSdTd0WAKkDClLTapg7KTEK517WQUpk33WaOcS3ZOgGuBJKlDGOFqTofy96arDuQNxsv3__ANT596XTVJeCTbgFVj69Ol1ZDhDYacEHCK30eqMPZIcIBLSpka3GoO1tlxJaBIAss-rn0afYBpDnEnc4WfHTW_p6hNgSSRECyt8GirppUnFtiRHcs1MfI_qvQelWLtDr4I2UxXg1uhPpvqiHCSBDb4_KisXTdM2jWLQTpcfsdwlLX3H6RT9Ckx7QBUJEA7DdbmFv6V_qDomdPQ6nrtLDUbT7JE3WLLlWX9v8k6n-mav6t-nvr0HAVaTi6AIN7leX8bXedvmg00OqezU5tQW1cchPKzeo-i_S-pdWD26nFzIESvVK5yvqOjLm0Gt_deJKNI1qjnRNmzHyh6iHg6w6zp90X_DAhzi1t7cIxV26WNg3MRKIQgAnvFh9KKi5hMmC3fOUU3pkmwAk7oinTuL51EtuYlFel0xY2k0TpIEEt5RlrpEOIxU8H_ZFLWa1pEiNVxbdBkY-qyoKbpjOotn4WLcdeNmLUKUElw-oRBVla3TVGDOoOGZwT4RL6jVqCmDbIwSri68WrVcO5jGkGwlceSVi6ulpee4FxAsBFln1uA4MpNFNrtQByUJQpubVZMASchLCtsCl07gQ1wIyd1csZyPG6qoRoptdrIMTysNyp9P1BpFgNrG2YWorUapFPXqJBGnQVly1hLCx4IMtmSw7JajVQbVd1LXTpblobt7pwnbUemx51AS10WJbkrv_AEqr-oYx0FxJGxus3oXp9QXta5v0YsrBek4ajpkhWlXpksLgHO8xwnxjWxlQi5MGZturGfyVp1W1HMc1ukSbD-614fktSdN3O1A2E7In5WtWsBrQ0yR5hVm20p7w5o7ROyieEqVC1g1EANNiTlNdZyM2oPSL9eqxADbyst7EqXc9znus0nGUza08v9cc-q_TUdDDEEC6582dZKEdPUDnDDpBmxXNqPS6DqW1TpqtJjGo7-FK09roP1HQ6pSpyQ8aDqGFjUre5g6bojLS1ziO3VEAcK-QeB-oUabKprag6pBJbGCstR89VpNLjrIDiSbhc7HSDTJ9LBk4lc3SVp6aJYfoHhZ_1Gui8kwRMjJWeosbekotFMl0m8alG43NfoaYlxwW8LAdrWEy1sGFKqjD27xlUdTH7pOFEbaNP1AJdJEZ2Sq11XhpAAJA2O6wMpOolsCJ2KoR1gb382CJrHFzJEnYlKalU1NIAwBlFRBbpg3BzCze6HEsA1RfCZ-w-kxAjM3Ws_QSodx2jAJOVPBEOi-ScWym0Gs0ugWJCoelZoAIN87q5RZgcDJN9pQ9aqThmBYYmFiz6uLuESR4N0_JCPp6nZBkZAwkurE_R0kXh3kLNdfyhnui2NpG6qa4i47Z8lTb9VQwGgzEXU3tJ-knO13EEla9PHNnRcW55UxRDg-IdeOEiOJc4xEgnGFfVirAQRJi0W_hZb6XjS0AgyLgFFI52s8BFUJbLRgchVLDvALXS4ETaeFVIDcme3wpRUQCAB-FIPR6UaXW7gNivV_HXOxapIvcmeF3ZRq6mvN5A8LPinozTcHHdVmza1UyBfVY4RmqFuo8Hxj7rXxqQ0mImIypiVN8mdhMybwsVpLWNJmRbC5W4uqQdjYbErNbgEtdBjumMWXKtHabEacKwNgEg6fdAhq9sYWK0DdJvNpyAsjm2cYOyir0i6IAkEXKS9tXxUd7Y1EDiEqw7COb-UaN_qsBe11lMMwWEj4N1SdL0hFQXPwtxLca27YJAyrmsW6s2HEcoig2N43K3o5vvugV5gkTbgFTNA19onKnngo18cRur7BVrwXWi2CpgZrw5443VnQLAws7onyqOc4sECxOAoCHRg33WA9MEXkmVKvhKpkW7litykcLAn6Zyo0UsGZtEXCz_SA0jYWVSd9qsAJkusPytyYutAExeJxC3E0xaQ8DAzKrCoLo3CIBbuBJnBVxZQmbmGzwFzdXQTNgDsd00I5hcRFvlSwSPFwAs0TEDF8ys9LgOz2mXYgWUR2rBDb4vygBl4homSgVwuNMjzC18B1gO4ndQMyOc4UFGklwFjvZUB14IySmjhMRPd7LNwHVJjVYfda4-hh9Mi-8grVgB3JEtUl-CrJzgbFLUXY4GCc8hSf2qv7I-VpzAGAZMKZ26GaQSbmBnyqhgQ0m8ztwmauKUmgNmSCnnQ0Uo4gJBSGwII9uVuIJfJIFwY-ESR2oAkGB7LUT6duAeBY8qs1elcx-6JVjPqrGlwLiITlFGQCNx-VwvQ5ptufAQGC0NKBNNzJtKAiNscp9BIlpgwJj4VEiw6Twg0CXNkDaUnQi8ax_cIOpMGZj-6ka1cAE5uqhYyAbohtR0gSJWd0OwCSdxukTXEkX_sqrmuiZGTZZNNeTfCsJezNs2IutCrHwIJLo5RR1A3sAtXwEPBN7-FkOD58Qogsf3DVsdkTF9QjM_wBluIZpFryqOJIMm4UAkYATcBY75UD_AFHfC0F0zgxx4QHcZ8lZ0dcCSdIK1KFeRMyTsoJ72WdCueWmwlAsAuvaEXVrDGI3XSRima0ltjv8rUZ7KLSTnhSxY4tJcJ-ylbUBLW5IK1Gb07UdU3n3wtMer0HWjB5VnSKlw-fdWdg4GxnlW9BmQW2MwpmB2gu3VnaqAC0TCJkcb2OAt6zegLAWmbRcFSrE3Wi651oG2FxukAqEmyUhGgA3v4WPG730dovY2WoxirHEG-MLaKtNycDAQVay14WhZjtIv-UcqOrURNgtyrDCAMyraphZsm6Qsc2fhVkz3Q3M3wmmajUOiTk8LnXVh6jr6fq-kKjdedOq65X-Thv4y9_p0_Hlm4_zf_rZ_wCoD9B_6M_05X_UOt__AGquGxS6enmq7Ye3lJ_Lxv8AJP4v47-XL9fJ_der_m_4-X_Tzk-P5Rf-pT_1Gf1X_wBbv12q_wDVv1Cp0n6ZSefQ_S6LiKLR5GHHyV9Z_wAH_Lx_i_8AXZvK_wD7f45_-K_xcf8Anv8A5XHlmf8A7_8A9H-CVCC6cfK-gfFX1MjyjIQgYMkcIuadlAveGtGpxMAAZTyaSXlZxk7f7L_RX_pG_wCpn9bdJ0_V9H_TfVUukrPDRVqt0iDvfZfPfz_-Of8AJ_B5bf8AJbH0v8H_AIJ_Jyy_zc5xn_7v1V_0i_8A1X1ah-of4r-uv1emekDQ5nT9CZdPDiV-V_J_4t_0_wDT_wCn-Ph-E_dfo_xf8_8Aw_8AHyt_j3-S_wBzqf8A3fuP_pr_ANGP6Q_6Vfpzem_p79GodI7SAaukF7jGSV-HP-bh_wCZ_wCdzt5cv3e__o3_ADf9P8n8sy9T9R9u-S0amgkHfder3uvLkUZTAmM-EY2OaXarmbqxjTulxyb7ErWSMiL-Fm3W50W7jhWrp5OoiIlZcwLbgG61qyiAAJn4S-Gi2Jg5KhhwF0iHbab5QNBwqOLYPATAriG7yoCRImJVCE6TGFr0dBcVkPojwoBAkCTCDiRAgIFc3U2TypVhWgtGbKYa4vgxlD0WwQpurFKbY2hbiHwPphbQTAE7rQXVqOYhTQxcRGyaC2CPOy0Hp2GY3QVLrBAs6igVwvOyBYGm-VzoE9sbpg4Xv-FR1hbB4QFvnKUNETtZZCt7omx8LpgV4MnukKYOElsCySLgtbAgq3oBxItFllDtMOAWoKmAARMlUBvcDchAHADuJQIQdj8KAg3uccKhZPk32UBFoPKBpi-BwshmtDxNpQEW5UoMahaU8HARtdPQwgCyso_loAWloBP_AOjuvoPj596PR1D2kCP9QG6m94zjfSqEgBp3xFkwxsa42FmDyqr0KPUN0loIgDtlXCVWm71HASWR9IP91xrrHpdO4v0gOcZMLfxWqo4VW9zO4NwTdRNeT-oUg8hsHW27r4CEeH1DHerD2AsDp0gxblYrWaX9L_S21uuc4U2xta3upJpeOPraFD_D0-wMLSIOux-AumSM3vxsNCh1lF9E2NRhbB8rNlWPnq39F9L0fR9Uzo9TqzmgB07WUzG5z_T_ADP-r_6c6f8ATetqu6a7nuboDgQXO_dC5cuM9bnPfXlfpnT1D1Qa0ONRxlzYwpxrVx9fWZ6YaNECJM7Lr4xjJVFnOM2xCmtSYwsI0kgkGZ0hGmyh3MLtUghGLNWc_Ww3AIFwjDOKgdfYH5Qaaf8AmBp3j7hE1SpSBbAhp3IVw0rZZNgRO6jcM6t3QIzgIkeh0dSmHg6jIMEgIm760B7nNdJAM9oO4Rm1lIBcdiTHbOVirIp0waWiNRaLSVpqXK0uDSwtJDQJGFXWd9vN6qlEaiYA_lS0ec7pnBjWtAMfSs2bFYeq6X0WioXSfpAJXORP6ZHv7QNJJPOFrMWXWtnSsY1sSCMgKm4HWMAYwS4ibArFt3F14jtRfDZOk-yzjYtLWxrBBOICmClZpLabmNLgcvJ2UcuXSddxnSCTpMwLFZq4HTdW6n3VHy8XIAyOFrwj1Om6qm2h6hkP1YIsu29KzmtNcvccmSeFztZ16fQ1qdSgA0GxJMrpM9Gvp6sgwS1s_dPWbcawQWgtm4ytOd_ppa4GmBtMkrUZPTPpntac2kqq0glrWhvMkDdRWou1MLQ1oacHKBe6HAXcLaU9BcGF1yLCADdTGUXS1zHCAI2sstToXO9LU8iRkwq7Tx4v6j1VTqQ9zILtgdlw5VPuPO6d56iWvfLmnANiVzu_HTG3pP1DQx9Ivzgi5lTVb6FYmSJNQxpE3lPg-iFZtToiyvVIcwAmblNHmVqjald7Q0mmXSOVFjxetpuLwdIJcbcrPJ0lQa4hzWmWgTc3XCttFKrqGjVecG0qNY10Wua1oN95Oy51fHpUHamC-k8n-ykqa1UwHD3O2yuxqXVadnEZBmZ55Wb2vqjgXSMnwiuoggkcCIWKPX6Si0CZt7LQt1IGkFriL7jCiawVmAvDmgA6YsoqVSNAkCRzyjLLVJmXCD4REXOaIEkA_uRtBoguyRwUFWn_AC4tBvdFO52GuA2sEqIVWiO291LoW97GfO3skEw2COJycpSNFEtDhjeYCQXNMNDXRfPlbavTR043jPhZZVe6Zy8b-FirjhHp2BtypEcToIkSfutrqbw4jGkHJhU0rexsmQeFn1qHMugDJus4kpHiSYEH2UdOnd2nuN-AtQ6c0FrC4iGnhWhw4GJEFTxfVWOGI1ReQpWsVJc5kxfY8KGXSU26XRJN0aVLseBY7BWXAdJd9Ui1txCsvTNK0Q5wdgfCYeLMfeCJbskK3dG8Nf5HN4Xb-O4w2ugBxOdivQiNnOsMWMlQMbAjiyC1EFtjbwtQWDw0aWkEG5OI-Fpl2sAx9Q5CmrZpHO0uBnK51UQNRJnG64LbIowBxJkt291MIZ40gNmwODZYdVGtsRceECuc1puDGIUtCFk6iZsbQFixYJbYkZWVIJYSAIKzf2L0naReAtRWjLARibSYlHSeKUzEE5HyikqPIqfSPCmIu0DSZFxukZva7G63ANuBnwtS4laKbdEWLeERRr9BJgX5V1Fm1Q4SLED4W8BD7RM-6oQgAE7TmVAk6nSXRItG6xb8D0zpGoCQVRdoBwLxfhW6GB0tMj3WoOYAQCDInj8oKNGuCDfICzQwDTMQSeVLA4aYED7FZVOoINpB91bEB12xFhc8lYdYnvBnSudqf0VwAq7-3CSrJh2VCS0QI38rXHfqWRppSC3JhdYxtWtcnHldPUMDqi9uNigq0C9trpYIvjAJHA4XKzHSOiRG8ItgtA4j2TGalWbHcSYH5U5RWd-kHIkbLkqbxYG6KJPaXTfZTKCxx1kk44VwIXaZEZ2la6QseoceSpsNVYwWBBWf7UaYLXWkEbhXPoYvdqEgEIGLdTQDI9lkLTbLgCYC3x6qW4q_cAQDiF0sURMD2wufiKNG7QMXVSxSiImbg7KerFQ4FrSZHhUwQ4ycXwiu0mSUBjVcD3TcXVGOIwFLdRQPNiQAFRYHXBMAA2W9Z07TN9kK4aZtK0k9VpWMm8bJL2zVWHTtncFdZ4i4HAtHKxyCgXm4XP0WGLGSRdZE5uBMtQK5oaCQSQUBkiMRwg5z9iNSChh2edkAngwAgncAWiVFMAHTwEiKa2wbmVQofYwL8KBwATcwReYShmmBY_PKmAlwJMgyNgqGDQMyPdB0m8qgiwmQPEqKI7neyCoINz91Uc4anEg2hRRa4mIHiVehUP1GN94RnFKbCPbyrIVWIxt-FUCZnlQE3SgAEHj-ykDahMbLQOveAAOECEl7nccLPgcEXAvC6yfRCpIdB-LrFg4OvYD5UALS5rrD4VoZrYIt7pBzYJAggrWitwIuHcBaswdIaT77rEHOMCwknyl7HO-ndalQwgke11oqzBYQ7uKsc1gyy1ECJF5PG6AiSLuzuguwyDIt4RR1AQArGaYtgHgXWmLSVDBtcwpa3EgQ51z91hVW3BP2VCOAIkza11MVOQQZMeFOmoo1wVlZp2Am5FlUUbJBBsCqNDRbYxhajNolwAgm_lajAhoPJtKqw7QIsSIUtw10uJ5CrR2uxOEQH_Va6lpIhWxE9xx4XO11keN136U3qtdSi2lT68NPp9RVE6XckL87_p_5pz__ADP4pP8AzJ5b8ej-P-S8b_6v_a_Jn_qqo_pf_T_-kOtd-tdT_wD1X_W36w30f06lUpwygHdstbyJT_j_AOX_AMn-X_8AN5bz9tnkn7v7_T6H_h58_wDp5z_yZ-PHj7_b8N_9Yf8AoH1v9E_q_wDSf6K-q_qf6k_WaNOv1HTDHT-oQGN9199_z_8AR-E5Xl1xk6fhf9v_ADc_--3-T-Odb3fn_wAf0-R_Wv8AoZ-rfo3_AFdp_wDT2p1NKp-rHq6fRuqNadLXviLeJuv0_wD8R_6fyr5y_wDh9vLjON9Z_wBU_wCiP65-l_8AVKt_QtV9AfqVPrR0PrEkU9RNj7FY5f8AXw48PzrfH_wn-fn_AOqf-33Wn-rP_T9_VH9J_wBfV_6P6jpXVv1mnV9JjKLSRW4c07hcOX_iH8XDjeXO5J7_AE9_8X_gH8v8_GX-Ozvv_wCP2_3_AP6Bf_q7P6m_rzra4_rRnU_0v0tK41s76i_E_wCr_wAZ_k5c_wDy_wDjnzbb5Hf-L_w3_m_g_j3_AKf_AFcv6v8A_F-0f0H_ANBf_SP9B6f9Kn-n29X1fRODv8Q9x_znDdw91-Ly_k_6P5ONn8n8t79zx2n8nDhd4fx8ZH6E6To2dF01LpunY2jTY3QGAQGgYWOH_on48eo89v5XauGgwNIJ3W7v7Tb-1NBEWEpFguAJ_wC7CqWnmNgCUcv7CYKsQ4IdhqVcCLKdmuaZOVtTEXBWGTNZqFzdAGzJCtvWAh3dhXiqhOFtHSAREXQUbnVJVAc6wumiJI1clQMHRvAQHIucXVHN3uYUHarRKAgkvEE6Qg6pcCEHDubwkomSYExHss2KAIPdssrBDIwtBmHSYGUhVg42nC6RlxBytABoAMqDm3dBQNiP5Ww7Zd8iyBiCIOSEBk6TCDmnUAECkAKBDAEhYoIMDgpv7AJ2MTygYEzi61ZGs60HGwBMRsFcTRmwMABUxwh4kLmghoNpgpo6-4-UvYGDykHAgG62KGTIkwqOjRgygZ3G4UE7gqaOJjwoFFjIlAQSBzdAwb-UDCwthAcmRhZDtAEXJWg0AkqaAWTuQmj-WT6oMAGQ4Ak4X0L59alVc1xJcBvdZ6TemyhXgCXHkhac22jVLQ2TAm0LN9al1vovIAYCDz7Lpuq29LTJImwO-Vmzp0j3umaKTRpIjOVhrT1niLxJEKoy1KbnU7nSfNtSDy-poNc8yTPjYrFmrKt0fSN6ZzXNkONs5KRq21tbUayo1xH08_tPla-Yx9X6Wt_ltLTqJdYEXlakYt1s6Oq2mSXHXExp5U5NcHzv9T_odDqut6fqaTmivqsX_T5XKx0j5fpP0Rv6d-odU-s3_PedTBPbHIUzt0k_YfqdNvbDSDuYtKNW482pR9Rpf-7FzYIjEaYZUcwCAOcolUYYubgWBVNcSNRA352TGRABbq12xHIUSmpEO1aTAGLq4y26TZ0jYR_dWCjWl_7tLJuYUrpxvaD6YaCSSGCYsocmmkG0unEm-QJyjmel1RcWy4-W8KUGtVe4tDbCcbymK2UWhrQ-e-Pp2VWJmo30Xkne8nKNSsdSp6pJJu3IJUs1mXsgp-o4aDAiQSM8pJkdZY8_r6R1jt1D9vICi7-mFrBUaGaiYsLJizI9BoApgEQCBad1KevK_UOoazUYkRiVyvutSPJd3FxJB1ZKkbUY0PaWh2k84VGjQ8s-v_KAiYUxlLqepBouLGAHkpUv6eSKjqNf06bg7ULudys3tPxbf8c59Ms7g0nHBV34l6Z3VCwkiS2djcKfUfRfojyemOwcbnhduPa-vQ6droEmBwujHNvpgNpQ10jMJjnizIAALolVMMzczbaSjTdTq6Q0ETGALoKg6btBsd9kVQFrmudJBmSAiJeoXvLmmAP2nKJVCyagJABi0qAVntNC0FxsbYWb668Xg9Y00WF8tIiIAuuXKNfXjEvo1WwNDydRB4WHT4v05Bc50aXDYf7rFg9fpoquiXA04OrclY97R7Qc2lTrkVNBaADN5J8rXSstXqG1CXE3aAbBMajH-pdSypQe9oLXCD7-yxb008uBV7WgyRN1waaOnZEAkQMz_ZMdPj0Kbu1oORcCFypW6gJlzhYXnYLLm3dPcS69-VY68elaYBqXMNNylbVqkObDTk7JgpR0h2Y_uVio9Hpny0iwQ01erqBiRba5UMYi4VQDMX2RcpDrAOoAm9iiM7yCIMgNQxnqnQ8CQRHKniiIfAufZWDhpsN_KAQS5zfsrgi_S2WzBH2SwIHxIwRaVznoB7vJyVvRalLQ0j5VnY1jOodw2lWrbq9IgAkiW8SsVBfTBe8gabDdYtXXMdqFxf3TEJrJ1A2M23WewLyQJg8regvjAi_N1f7dITXgzMhSX5Uv9O1u-kg-QFKsoMePpxB33SNGeZctIpSqB7RteL7KWCt9UCB7KYurxDIccrOtTkVjbmDJnKoZxIvM8cLXjUpWv1PtY_hNDa9ThFyUtc1bgNyfBSCtB7g8QYB2H91qdVHqCbNJEHAGD8r1ceVsYtc0tZGrGra6uk5EPc27ZkzdZta07HAxkjYJKao0kcOOLLpKqkNDRjGJUoVw1XwOdlm9CIaA5rQe3crz0vazXgCJgW2WnSLMZIIM6YsdlmtEALJAGfK5hXvM2x4ClaVa7tJmRMqegOAJk2OfZZCAAkOm_BWb-g7WCL728J9GljRTGQJ2HCrXcFlQMkHGxWfGtn0Xy5-r7K600UmQ2SZi6szGcWYZJIGbqs1djgXZIOVZGVnNL97C63ArYaBJmdiYWheQCIgjhQSeRqjTY-VBxApgWgLH0AOm204W4LsMHYe6oNR0tA3QOXO0m8WN2qQPSdY-1vCWB3VBET5VDNqX-NgseUI8yYEYiAgm4mMge5WLHWIvJESZCzYZ2PqEE8gLGYitJ_cLbZ4WoSNDAZN8rrGbFQLfVA4XSMnBgjj2yrBUGDBJPClEzBEb7lYrUpXgtvxhYbNSqmmCQ661OmbEq9TUJJgOU5dtRmqOgeOSuOKQkN3tspRzXTnHC1y8TQjuEAXMrGq4wWutflNQWMkSDfeU0xQAEXkO3urZigLNiSZUDAkkkreQc46W6psFMAY6HatsLcg0vh0R91pnA7myZBWK0YCdMDF4ws7gdjzYYKC2okQVZRw7DYJocnVCo6ZHhUMw2mc4UDlw2ud0TcVabXs2OUY-qMf258WWon1bUA0cqtwaDs7ytxhfVMCwlblRdskCJvus8k1Mm9pIlc_FWm1_p9lmiRgmcIHbcgccBARBN5-yBCe5AQZE48oGI7SZACBSbQZvug4Q0dxzwoC8kTAaJCoVr9BQUY_VKzooO2Yn5VBa6Ji4ibqgsJNzE8FBxYXukbZugcmIwgLHTBIvKgpqmUTCxfBI5Qhg4ExcItqjGzBndE1ei-Qc2WpTVnODgDucKolpM3MKYC5sxN_ISrpmQILv5VkQxYIgfKmBHN0Rf4TwMAI_unodoDvC6cbvQk-mCLmZWaFkCxE_Cg7TpAQE2BzhWRHMJdgSAmKfVpMg3wuvxBkZJg7LlVBoh5mI2PlQBwvAEWuQrBWkNWxXSMWrEA4C36wIEABBxedRAJPugL3XBCmB6ZJkExdUVuMqijnAYytMWEcLzsstTpIQc7LFVRjidPAWgz3F5tbhBNzRIlZan6EASIE-6qHkkxEQqirRrMiVYYtTaWnb3WnP65rtRxKnaNDBJ8ELWjj2iJgKBQWStNGAsqEJ1HSMe6zVhHaSPOFjHSMj2d0XzMcpf03mx_l39Yf-n79D_rn_AKq_on9afrNSt1FX9NIFDoy__KDgZEj3Xl4fxfy8f5uV_P8A9PKy2fevk_p7-P8A2_yfxfwcv4eP1_kf6n_6b_6i_rf_ANXDv62_VxT6f-mf0-tSf04N3VAwWAHEyvX_ABf9vL-b-S_wfjZtttvmfqX-_wBfHr__ABHH_n_4rw4cttmZ_rwv6d_9M36j_Vv_AKx_17-uP1Dp_R_ROi_Uh1tMvkGoQO2PZa_i_wDF_wD8Rzn8HD2X_wBX9Rf5J_B_B_yS8LvKyT_Hv_13_wCkbqf6o_8AUxT_AK0pFlH9Ie9nV13MJ1Go3aMXXm_6v-3-T-S8_wDk48b_AOq7vyT_AO7n_B_P_H_F_wAvf_ukz_8Aq_RXWf8ATD-lv1T-quk_qTqP0unU_WulYGM6h4kiFx_n_g4_zfyTnz5X518v6tn7fn_x_wA_8n8f8d_j43qvqPXNS1Uy7bTuvVbbf_U81kk66MGwZPurmsqHtBOwC0m9lDgL5JRTazAkflMUzCC7yqze3PMGZn4QzrBDg5phJWfxKMjKtXDOMkNvKqOY3FkQ0QYWGXRBIJxdUGSbGxQM4QFqNQJ1EbhWdmng2tHytMi15aIJQce4T-VQkSDHuoFLi0EDCCuoRmSUTXRuc8Ka0WYKekMHEkAGAqUXRClAp9syYSDnEarfSrQBaIWZDXYMXKkaKSZnzEIizbe66xkS4NaBKo5tSJCnoAPdMfK1IKEANzcrQYGLhAweHZyg54mDhBzMSgUkzBWaFLJhYDfTOECm5kZK6eNmBO6ms71jnfVbKqFeJsU1s7HQY28Lnuslc8g2g-yiGmW2ugRpNt5XToE9ufwtBmuLSDIQOHQZCCgEtwggTfKzaOxYKDmt0gjMoC1s2VvQYC_4TAS0jClBa7tP91kUZe4wtAttCyGyrg_lM90kEAA7TwvoXz6tOpLYs1pELLPJtpQ0xYQMLTDWHupuOjb8pg3dPUc3Q4XsbStSY1I97oSTf6dMZU5Nzp6VI2IGBbz7rMXlM7M9xe-LERZyrOp1ammWh14v5KmNbkQ-kNDrjiFfxWU76kktqEd1gGjCmNl6h7ntgNaeFIxVaFaGZz-FvcYkXp1A2AILbjCw3Ok6-l7zUqMJc10NYD9U8qbjWodd0repkaGa2jTrdsOFmze296fOfqVJtMCncCmIznwsGvNeNTJdDT4yjevJqUvqc0EwVUqvR0w9sjIyDstM2aTqATUbB7jn2RcxFzbjYC2VMzsHpKwbWa4GBezsLfSV61E-q1pGlzyZI8LLnFfTLWXGsE22UxqJVwHjSSAGkXmFlvdUpUxI1CG7wiYSi19SoXEBobglT0xrp04c2SHEzPhU8M6aepoMwB3Ra6GsXVVIdDIN7XkFFYa1drhLTc7lEXpdQHM1NIJaMkZQwTDzJiG28hFlyspYylU0tscXGUdTdQGtoAYcN1mxY-X_AFCsTUOktJi_hebk2zMcXMc4m6rSj2_5TYOpxvAKqa29CX1Wua7tZsV0nbKPW9M0gw6REBpMSpZjTx2tdTeGbbzeVizC3HodN0zHdNUquIbH7Sf7KRzvbM7TruSTn2U-o9n9BqaPUZe4mF04LHrUnOcS09p2lddY5PQp9rSHadQxG60wqahaRuyIKmhQBTaAJI2BVG3pHyJhwAFoRY2-sJLSTBAdZE8I0SA5pcWyZRnRDQ3tBuOTn3Rp1NxntbpcJJjAQPWgtAEFo2GYWbGpe3j_AKi3VTc0gEMHbe658nZ4lerUY4ED6s6hPws39NAXio_UbAQXgDAXOj3P02sx76ppglxEgHBUswb6XWB1GtSdTa5pHvflc1LXHp9KHeNx_ZanRK8jqnmoIkkE-y51UBJgD6RYlc46xppHvb9OLFK68Xq0GnTLnEe6xZFxto9zHCLnJ8LOJirJc_tJ2Kz602Uxq-qzW7wng6qA11j28wudoekdJEn4hJWa3UAHmQbxN1BSo4OBF7jJRWcObOBBwqu1J51amSCeUXU6hIbBuCfuojLWcHvg2O5S9hRvpBB2HKJpnAkkOJbi2EUY0tkmIxByVoZ6hsBJShGiTqdE5JWQw7TAEDPKzfVxooMDiXC088rc6RWm2AYE6eE0bKbQ8Nht4ys0Se90wQQYycBTAovl0k8KW4OaYBIkD_uKzuhqkRqd28QVY1xRa8hwFieVvYt6O4yAMe6ZGdTMFxxOLrF7bw1GmQSJ-6zjcxRzmggTqutagUw8HTt_KbUXp9pBwYw4yrFWBJaC36seFhZOzsFiL6tyq3AdBhwEECJ2W2OXXZWEnS0uBnkLNWXVBTJOIE7WRMMHyAJvgSqyekS11sTBKsHp9M49rTA3tsV6eF6ZvSxYXNi0G8FarBC4Nc0ReIjZcsqnpkXGOCunEWBGkQQTHGytNJpkTGDlK1PNCrYkGQR-5Z5NJhpgGZnK5X0MKmmJuJkhZrfFooEemDwrPG1K4AycjKzehKdLfEWWF0WwHD7myigXCDa3up9HZP8ACgvTZDpxCmLTPJ1uIn2Q2nF7fVA2U-tTv0QAwi9hnlRb4tTdqAAJJyJH8qwi9MtmCZJWozfWmk3Nj7LcZV1FpvAbhW9jsX48KTRx2LSSqOmRqiVRE1JJE-0rNFaYlskifdSdC5MlptdbDtYRU2OylBixm0YWYGggkC9luUBrYPkCZhLeg-sajz4XP6AXANNrZsqqdZ0tFnH4WXT4mXA4kuPIWayDgSI3ODC52tQzKhaS05G3hZ36rXTwTkHg4XeC3qOvMR7LtHKqAh19UDPsrUOHwRIuc8FQEwTYW3Ug5rAA4A-3BTIu0PRBkh2-ExdZqogO2IXO9NsZLiLxA8KBILXXuJXPIpw9oiMTCuJjnuiTblYxXUySCQbK4igINzYLNDyDm5hb9UCSbSJUBF4GSBda0LVMwYJCaA1waIiZ3SDXQOloE3_C0OflxgQpYOBIiDJ4CyK0xlQV1wTxgQqF1FxkW90DtAcNQMnjCDmmRcxCodrjpiJ291UxUOEgCMSJUMOHGwcDc52Rnw-gkDYArWL6tGxmFVO0lrZAha1zsw1MlxzBOCkRsY4Rc4FluMjqIdaIXO9rBe3UBsN1nFSye2BCgpeSLoO-jyg7TJkkGyAkvEmBH8rP3Bzzgn6VoLOQYUxdcINyIjNkQznaSDM-FQkFzpnCDmmx_sFMDgmbEwqKxpIJ4sgMgmccoHJJiIugIu_VM_2UDtdP9lQZDmibxsgDpEFpQM29ygrIDcSFExSm8XIt7rcMUa4GTlEcXbbIOi1jvspQwEm0LWAEkC2eAgYEn_5QpgLQCPKsgIJEgwV08Enk4mw3XIBpiDJjcnCDtRBzbwtYghpcDFwslMGAYtAutxJXERi_urfFcZMgxlYXw1xAMXyrgA2AsEkTxRouCWx7Lo51Vpi37crUQSYbcjT7qhBfOThSBiS5oDYj8qWqemXG425WdXFwdRBIAW5UNcC5ELWgYaFMBqU9V8eFLEBtziyB2mOPsqJVWuB_2Was9MwWx91YGdHJ9gqL0Te60xuKg6onZGThukCEFGwG7yqhXOtOCU8XwhMpp6cuhnJW4uJlxB85smHoFoeQdv7rnW4SC20kxkhHTSaACCDcjdc76ml0AgGCN8rW76nX6M0adTgBqO8XWe-_3-__ALmk1OdIP8m6nedLrm_UAR8pJ-zq-nYQCOButes1dztAMHK2gaiQRkwhCyW-Qpq3ww7mm6qTuHYNKNOJsilktkblJ0KB30hXdYvQkmQPyt6yLSSfA3WazpjlRHZJUBER5VxccTLeFYvgxH0_cqzpPQuVdMEGDcpUMH2K1AXG1jdRE3wccJ8agtaA7KyVz3EGxVo4SQZKeEAO0gj8q6UzSDb8KeoEkuvdTzpTEwJ_CviOLiBlZ1SE4sZzKK46i5T1FafmxXaXUHJhaBibBZBB0iButaKZb5WgpEZ3Qc0mcKaKAmL55VBxe10HEcXWKFdESLrIAMnhakALgBIIsU7HAyFNQzSIJOeVFMRdNCaSHZV0c0aTMAKAuIkQd0AEi2VrwDfBlJ2GYCTZUVa0nBWg73wAJgoM5ETf5WNA2QM0boHCBozug4iABCyOYybnHugJjz7LfwNTJIusUE9tpWh_KPW4w1wk-2LL6N-Byn4xSmwvFjadrLmw9RjIJ7RBMXK2zi25bEd_9k1ZMev0Dm6qfdHFslVuTt7XSka5ElxMmVn10xvpvLbk2wAMlPGeTqpJaXaocRsOU8YiDqWow5xgWBAymhQ-z2zMb8JasSo1HangkEg48LM6al-HdWLHiGnULgrLSjaxFEa3APdewU1Dis7TBBg3J2Cvq4TV3OuCSYBGU9XCPd6IhwtkzlTR5P6m5jnF9iQJIXNNeV1L2OZpIDTO-6NPPfSNRpbGlrjayEIA9piSByUa_wASqN1anSDHlD_WetLhIsNmrV5dYuM4qQ6HYHIUh8e10b20YLS0OaIcq549Fjg9v0yA2xKok-gPTDgGm9_dTF07IJ7zF40rLSrWmkQ1n04JKIZpgugzfJ2U0sTqVQZaJaIglVXm9Q_06tiyBu3KDz-qIBtb32QOx4BJBAB2G6DZTboY2HQY4QE0obi8TJRuco8vqzUYCdVvIWcbfO1g2o57YIOQ7lcL21OwAdBO0T8LIVhAc60R-7hTtjcX6bqC17GNOm8gk_UusWR6NeKsw3UCdJYYgnldV3Hk9T0jmPgEUnC-ZXOxfTdOTS6YNqAveZ1Fc7MZYalQanEU4J344UiNPT9e7pauoPDSBlXwr1-l_qBj49UROHtMwukrlyu19F07m9RSDqTw62N11gd7HEA_ZqM10uc1pJDTsQqRr6cFr2jUSP8AhG21jpcIMkCYRacy0XaYj4lGEzUc8uBJEgWCRuRaiO8agZLYOkIvh67NALWnJIapU2R5HWDRp1M7X7zeFj1uWV4_X0tbtUkDiVjlHSM9OufS1EFv7p2jyueNPVodS1oLKRnWANcfhWzBrotewtDWEtb225XJG2rSd6Ac4hwi7SLhRp4XWE1AXiGxgC1ljl2sSZVY4s1E33G6410benex1SwDSMEqa3Lj0G1S8AkBxMJ_bet_S0w6m4Nk-SVmmrtdD3anacAALGK9CmSWx9LIsMpbPBOqfTqzIki4hQUp3uSQ0RBWEx6HSfvDiC44KGOrOkRaTdW9QZHy0kn92CsmlDIBjAwSFrVS1SLi8b7LIzVYNUgRpHKtAY3uECfJNpRk9MNktxe8KSqWpDzaSQtbhiFQASMXgSmmpNHcSBF8bKVVW0w4ajLXTeDhY-i1NpJJDZOdRW6NFIE7e8LEvY1NfY2IG0rYi8gi2RkFYoiJGPhX8VlwzQWgwQ6DhSxDPux2obrNixIxhuxyslPBcAJv-V2I4gXIuMFHQmpxeDPjVGyyzTucGw7k7KYuqMYY-q2bqxVHiCLDGyVZ4tREC_bIuVluT6rTAF4i0IaV7iLAX3Gy0x7CBrmCxmbqVqdKscXATMcFWNmI1428qsVWk46pIIAOyz9ZbulcDNrcr0cazymtU6WBwIgDddWMTpUy6Sc-FFvR9JAj6eLyjKjdRbbaxVANiINxaJUsdM6TqEukRjzhZsUKZJcC-JPC53rocTqJIIF7rna20UjAF54ELc6jS1RskuF91OUVJ5LJ34XPFji-I2Kig8w8GPspRSizVIIiL3WWpVg1p1NDP_0ghKOkcz5BRqQwqQAGi53WZ6edma2ci_uri-mghwuY5CXxVaUOmBPlRyvrV079cT9QwF1lRpBAaQb-FvNA0gi5I8BS6FaSXQDA_hUdBBLQZtOEEiwQcQgrTaCRcRHGFBrptGlpkELQLnHewTBI1bjJHhZGunLzYhoi8rUgV-CW-ylE2GXEtixuoKtgAgZKWCVRxbcExiAVzxrUQCJdg7E3UpxcwueDaFzsjoIiRNiRErA0UHEAC5_C7zxGprg4iB8rrHNTQCcfAW6joMGRg8rIo51zA9xwpuCes37hI4XPWpNOHF7Lm-66caiNaTLgRwFOX7b1icJdBMQcLmovAJcD4WVI1obBws2o54AEgi-yk7JXCADqNuRut0rhUJBIGTYlZxPYo1ww0TbAK1FngtdgyZPKlVR1mluSOMlZiEfYFsEYsUsHNggCPBW4q9EHBgnfyrBQiYOfHCqOALZEfAWKGb9VhEDdSeKuCARJgZhWBCATmAs4CXSAZBOy1oYtLXN8-FRQNBu0xeLp_YamCDmRuNlIKkNgkCwKvjHV9OHENxnBC0Q4cbXhG1hL2323RmiGkgR9ROVWKsxwEWsDkrpGVw4DOfCzymIZzoi0_Kw0VoM7Ssjg4tmTEWQMXWu5AA3SbX-EFGmTcExsgV7ZkRfZBJo2-koKWkBZ0ANvyUDQT7laALoteyB2d0nCB5-DG6DjfOUDNPbBygAeVBQHSJGFQWn6SDnKB7HNkDtGgcoC0BpNiAUFGwJtZUM1zicTNhCmpRzbcFX1FGstgyVPAfEXXSAiAYupRxjAUlHOMAQtQF1gDhWidSHEAhc9HaCSeFocGahO_lJemLcozpG8LUBDyf8A6Woyae2B-VeTXEumXcnwuONudYXyd1sVpAG5IHC1GLFzBbM-wWsYSFzpBKoc4yrQzLWydioJvb35vxys1VWOtiDCzi6q2-V0mMuAki1lYKgDSVQQdRAJA8KDgCSN0BcIsoEc4kxjZFO0DTAuVQpEm226CtKRMmyuOdUDpFlUk1UO0kXmyOnxwfq4urHIWsBcNlWvTFsSdlMWzEybyLhalQQJdOkpaY5sgzpgLLUFwsYtZRvUi0RhYsSk0iSBjyiGbb25QSqvzGygGqb4tKQFsFubKire5t1rUvRhZwHhGYVtjndMbHWWgwBZNJ0LXyTcAKtmEoHOkMmUZKH4SdFhmRExI4K3O3NVv2UTBgnZTEDSWiN1VUH05kqtFdBws-MG1SL3TQto8pq6V261qAz_AMsqCYncJinntjAVZAmDKKBM2QEkAEzdSrCE2UKLTBEKEHex-VqHh9eDv7JSEL5JjHCweBYOE3Wl9cIMxYLOJijXaogLcFDjGF0R1wbWV3F0TeOeU_sG8GLlX1BdJjwqC03UwUJVClxiMIOG4WOSldmM7LKC1uTlXQCw6p_smgm02WUwC4gYhFc2odVwQtYKWKyEeSwEhbg5jrQs3oM0CUygZIIsStDmtIWoKsl2bKg1GyAAZKBPpGAViwKY4SDiDa_xwoCwElUVZZSguktsclZCjB4VgMyDwVsM3IKmBnOuqP5RsfDrNPsV9E-e3emmmwAAhsGeVmxG6iCTeMzdXBpplrTDiSUw98bqJ0PDnQJsBwqsvb2-nqDOq-ARsjrb02U6jpsZgXUrlbqoawuaC6Qb2tCnpEXuc4Q275kSdlcMSdV1a2lpEiylieM5JpPJdY2Nli-NRTp63c5o7yDgqWtTb61DSJsNQEeyw1PT6SGktf2G5BWoUkgPD9Yg2V-qXqIr0nBhBJxO6zeh8V-uPqdNXqMLS10xBOPZYGNv6r_mRUM8CUM_Tf09RnVU2xc4MZQyjX6UNtMRyi9xgNP6m6Q7yrgyOp62y_tOx4TDS7F0DtFjK1I0rRc70ZBLjN1r4PQ6fqYDQXaffIUk_aY1lzqhdAgET_yoYPT03GXuIJAyRlYa-YanUL6hmMWnCMtYomowuaWgx9SNV5vUvIL2t7pxIwjLyqwd3aibGSRghFZ_U1OcSGxtKBixwe0ggxeOEGxpNQatQlBoYS7vf7WQ8ZP1CmPTdydlK6yvl-pp4dBF4_4Xnvq6xtrku0C82zgKVdVIbUpFjXRICjLqNZlFhadBvFitcWo31I1McYvHa3byu-s29aFdhq6ngs04DRypsc9rF6jjSh7nNqNdmMhYrXG6xOqanuLCSJMzsFyzGkKz4bqDd7CcqGG6QS9sX5AGFYmS19J-k9Y5ldgpky4wTML0cXPlMfVFxfI1GcQto6nTLXloMsNsXQ8bWBzXMAbAxlE1a9LU9ocPYoun9ST4LUPTCGvbcbWOyvjUaqZBESc7KMpVycC4BJ-Vkx4tdw9TU8E3IgnCSOvHplrML6bvp04adlmt_WB1OoxzmNd2kRIwQuV1ovSOcKrfUfDDOmDAsuY-h_T-oqGpT0EgxHdeVZ2uva6tjTQB1AOAklpt7JVfNfq9JtOpJpkNibHJXCrHm0ZdYMmBIk7SsXx1xr6QQdQJBGJwubUj2KLoYyYbtYKtTpu6cy6xGjhMVqoFpfDhDmmTHC51prbMN0uPMSpJKJWeSIl0xdZu6L0KQae60bEqDZRZIDgTGZUFHDuBsANyFKMdZoLgAYI8q6mH0a2QRBxMqGM9UFoNyTH3RENAc4_cqetOLA2SJaN7JqYE6nBoGoR90sUjiBAmYMAcFT4Iv7bfURJ9lQ1JogkxPCqatSb6gcLA7Xys520u2nB44K0YqAWG0AlZxDmmSJFvKCLhLpsJtMKUK5mpwg3_AJW54GIIBg_AG6gR7STEmDknZXAHExbO9lj8RQEvYHQI4C1Jiwre0GMTJg4Va0WwWzgDkLnWoIaCJbnEKfUEiRON1da9Vloe2TMp6LWBlpjkbqNW_Aa01IMwBf3WazTmGnURnZNNNtuW-FuUGRETqMZ8KtSjLWmYiYyq2NN-l-ZHAwjlemujWghom-wXSVm-PToyaRBMA4kZXeMHIE6cRuFN7WTSPjXGLbfyqmOZ2N7YIG8YSAinrcHH8LToV9FrnTODBXPkEc2JcOYELjeg1IS_SBm1ljNdI1G4BA3gQtydKcNLrEx7pio1mw03kEfZc61gMJaJx5OFkUgPm8nMhKJjt5mcrA0smZm8XHCLFA4N2AMb7o6BGt5ixB-FnMVZlPUBMWutAmR4I3Uqao0QBkD-VFVpw0TMkYVjFi7aheBGRmF1lZULrThy0jnNBm5kqhXy2DMfKCeoF1vgrIZjw5uCT5KYNdKpIgWthagcnUDaNjKtEoG1p3WBopmSBiBJndXQartJthqCTnh0xId4UoAcST4QNILIgWulEHTkWg4XDlF3ClxAvMTZZ-Op2vsDxupgrTqS7M8gLpP0xe2pjgXRi9gusrDWwztK3gYYE_T_AAoFe7QBaeSFnkIF1pBElc3WTD0zcEmJMQt8XOuqguzuLWW6jJVYB55XKtxAGIkGTvwuda0ZEf34WPSi2WuEntVxMc9um2d_AWoSpX3jSlLF9I0hokmZnEBTtXAaA6STCzap2y50kQQMcrUDuAI1THMq2_oDext7ImtIAYBAnyFpjcp2tMAjbIKrVpQLmZnysUnh6YBPkhTKn5CSCQCIHKNS6BfAgGfhNUWshskY3RNM0EtJ42V1VWktaAgox_aGkZF0-iwdAEyCtY5CBP7YHKsa0-n8o1fFJjJn-EZO0nSb-USq0Hhy6ca5rkyd1qgh0SSLrjWjCdUD6fKyJvsRewuUURfOeEQ7an0za6AkyMQZygLXC8m_lADg_wAqAOaWj_UeQUwDAsQCdkUS74k2VDs742g7BEFwgkXnNkDC4xqjlAzIAIjBlALmEDhsyQT9kHMF_HCB2tAA0wBNwrgaBOc-FAzXwBJsgb90l0Dygs1wIthAwgCQJK2YIAmI7j-VCqNBBk7IyIIJIhJB1Q6RGyYJ6swZWBQCDfBXWeDqgJbBM8Ss0TBuBe3BWYGE_ccrQBdoNwCPdImafVq2sUVwgHyusupijiLY9lti9Bo3_hZ_FZS6WixE-VLMX8nCxABkolq7YGVtguo_OyyODidyPdbD07m2PKgeoBEQrYEYdJdIsAsh6dmk53U8FmEuMbZWpQ4xdArTJ3JG6aGZM5t4QVLQ5tkEngMWbVdT2V0VZckkQtByzgKs4OmRmPYpVwQS5wuqqlOGkco5Hd23_CqyFLjyYhR0dZzRzyoH1BvwFrGbcdJN4UUzQX3JuNkEn3zYqWied5Uo51sYUEHjBnKlBDSTvwYSAOaW2HKocS2d_CM8hLjMXB4VWQQDp1bKxTEfkKgyLSJHCNmpnmPZEtc4TfcIpmuDQJvq_CM0R24WpWLFGzC2wcQSDEWUHOkXypYoAmcWUUCY2T1kdWnyVMCyCd1ATIV1cCJBXRHf-XQcXEWQc283upq4do5urDAcBq91KgG5Bsua6GSIWpQzRbhagWoIiFKhWghxlZgd5E5sFpYUEgiN1Kq1I3grU8Sq6gAZXRHAagVmhg0RdIuAcwZC3DBJwPxC0YYEgjlT1CucSZlUEEOxdBzckrFUSb2PlYQRMEwqATKAFwGAUHBwKgQYytirfp9lgK50XN_CAmIkRHKuANnK1uBhsk7DAmZ_aFoNqByqOJAuBIQTDjc78FSjjNvdZgIMTc_ZAwJwCgJkTypQTcQDKkRzNg5VVAwHZa8HAWMKhtCyP5PvcX9waS2MFfSY-djV0tUEwOLReFnB6NIy24wLlTMRT1HAB2AYymq2dNUPaXbnYXTUenRrNLjqBzK0trd0_Uy4Nc4kH6VBuBYQ2O0gTHKYR2gPcdQEaYsVV0khkyQ0C0FuyI8-qJItqETO6xcWa6hRc6o5wBJBN52WLmN8Y16g2s18xLZg7lZnjaoqGq-AYIVilfTDWnU60YAV_tKjUeenpsglzv4WeRHwn9XdSKfUOaQalVxkklcqv187SrvpEOIiDGnJUldPxe1-lde1zwZ0PC2nj03dbrcGuEb5yun4sUgIbeAAZsrIiTqJqAE2vNsKUQZ0-olpaATkAWRrVqfRlhnTmy3L8WC-iWvBAafDjC53ZRv6eoHzvAxNlhZGr1HVGNa0e87IzTU2lxLXdoNrBEmmqlwYQ24aMAxZGr28qqXmQXGTiERhcYOk2c0wQdwisli4TBIwPCLBa8ayHSBP3RfW9jf8uGtkm7eYRlcEgm-1wgy9W5rmgSS7co3xfOdY71KjmlxF5AAXKz628_SGvddxO64oVlYNEzYi54VndWOpdOSQQ4w445CsveG43Pe2vTptaRTaRcDZdsc7fiIrUKUD1S8k3nHws2Mr6afUt0UiTe87KxvjcY30Cyk4hxMNg2grN4633XldRNPI7Bb4XK8cTK09Npqv1iQ03EHZXh2smPX_AEoNdWEHGJC7Ryr7CjUZVptkkvHC6MVq9XvEuMDJCI2UnNeBJBbNhygvTbqDtOQeUXCPIaSJIa4YOZRHEFobLg02McIutDKzXNu6ACTODKN-kqPjVq1OnECyiPK6ppNBxa22pVvj6xGmWthjg9mfTFoWW_pB0btJeNTTnwAuN6rW6xDqAXCwBBhu651ZXs_p5ea7XXZbtdi6zxHvUAXtcyppY3TLjyFutPJ_U6RqPLi5ugWDQFw5LHjhgrVIDTDQL4XJ2lmNNGi4A6pcIMBc1len0g1U2jeRndXWnodOSXQ8CdoU1t6PSHuj905i8eVzxIu-iQYBtEEjZWdKzPYW1S2dTZss6KU6p1B2Sc-EHpUXAg3JOWxlY0MWyHD6iebfCUZ6oGotbJJG5up0Cxv-U2LgpoiWmQOLKpiNRhl0gk7EhZ2KQjuIcJkYlaDFgDWw2OTKlGdzgS6AATmNliwSjUdQk8R_dbl6Bg4i8XhXRUPe36hEWyrRspuAY3NxKmCtiO254VC6ziCSFmiTiHQGkho3WLIAXAG7vZb-BgQWjuNxngp4IvqQ2NRhXRznwbHHKDm1Zd22KBtBET2mcIKCIOZWK1K4vLXCDgXtdMWmadeTAWWp0cmXkghzcQFqGfVRfuuSpRzSLWlQVLgW-2FMVx-k29lVsCnqJnBAvKu4gl2ohsyrrUqoAc2BAJ3GyRaemS19rGcrcc69fpHksEiSV6JXPDXbt2gqZqy4dsC2Rm3K02czqkomAGxMHNyVpTOYSY4EybIA5oYBpEk4XKwK2nGTBmy5eNatJbtAVxuXVWRIAB8yqqdSkO4YO0LlV0BTIFsDnlTFjmOtcAAZhSwd6YcRckYxusB_VLe2YGwUBkVBIkEpF1waRAdzMosuHZUc3uEz5TW520OfLC45PCl8UQTknOxWd-Cmt2kwBBstah2uMnbmFqVmzFWuh0G52K6sNDNI3ugjUdHaECt-kbm6ANyAPZBopl3_ACFYLg3kKVNRDw0CxJQ1UumwM7WKuKd4kANJjeVBMSZuFPQA0gHP3VHa4G4PJQBzRkSuVUsGMyo3bhYLjpmYssVpak_SZJ8RiFZ0jZSAIB-oHjK7xzaKZg5JjBW4it2yYlvKmAucIg3kSs3sSc2QS0Y2XJ17K5oA7SXRmFrGKUk6AbyOSuus4nJvYArjW4zVGgPk3AwubQMAa2CN1mnqkB0AjuWQSWlxtAhOzEdBNyIVlUwcWyXCByFrQzHB4OcbDKl7DghmNxfwtcQavfLRmLFW5EFtMsu4rP0XIsImBwujm0U5qADEKrC1KbmuDifCzY14VxIAI9rJVyOi0xC4q5sRG6t8Ba_Tb7BMDNcTefhUO10zJytQVYQDYflJ6i8F0kmy3WBpiXDJWdMs9Vc68xacrTWjqGQhL-zNdqnlEtWpCXG8ey1HOtLWQQcFdL3E6FwINyuPJpzXl4JyFkKW6jfnAGFPqmaAN5IMWVQacSdlFMA5zQZkyqgTAAi6DjYTnwoAHjj4ARdNLSQQLBAhgHKmr8UpENaZWmT5gX90DNi_KlKJMXGFllzDI9lpo8ki25VDNvIEjlFULS2IammuB1bwfKIOm3MICwSAUFWhw-6BieAVqUpqWYN_lE1bIvYcojpAaQDJShXEnIKgk6ATn2WRVhJbMyt4GqOmDBiNkCAAmYUwB7gwbAq3wJBLRErEqqNLpDTMLaHI0ubMLfFDCof9I-AurnR1ZyERwALc3JhXNBFPQ5ron4WMVQkNkkxPK0iGuXiBCz9FtZjN1oUpNkZstrqgbNzI5WKiemSQBA3UnQIZHtHKQVpiBaI4lUOSHRYA-6KZmOEQ4ECAECzcxgboJumpgTKxVMwHC1BVgJIvhVFAZ1C61BwMZNkqi1pmRCaaqBGL7yifiLTqEHIWlolgINo90CNdNjA8LKwzWytal7NqJkQJSIDS5vhKOLQQcSosiQgOIypi4GfCjJXNxtGCoBpxPMoC8g7_AIQBxsAcSheyuFyeMIGZ3T_Cs9HYMQtKPcGico0PqEHiEiYZp1QSfsibAIkmcKaikyICLioBAWtcrDBwJAwtwM8Ei91UKxsGYtus1dcb-QudQQJH-yYuE0wINlUFvcJRuYIMZsFZUdqBW9McQCLQPKaYng23UFGmCgM3yFdCRIjcrFBbJLeVZExRki8SrUB0kWEKVZNvZNIk3JKy6WONrEI5eO0gLXq6rSMuNgtQpz_mH6rreobtba8-FAhcZxMbLcuLFC6Y38qRHNO0mRda9HN5kn3QENkf3U0dIacpocXV9Ac4Mi1lzvQGWhQLpJ2WtHFp9ioOb-5SDm1IMRPuroAMDNuUAdd3uMoHaBpHKuBsiAgJcIj7pAZLhbHBW9AB23S0cIeluByAIhc9Clk4MK70ObOEgadN1Q2oFA0T7FZRxYG4klWKZp23S-9BwAL8q4OguvH2WR_KJg9UEFxB4X09fOympUwx3fLSMKajdTfDRqxyd1LFNJe1sEif3SpIVroF2sAQWjeUxHqNIcbWIv7oY10XmzXEgXBhCdPQp1QL3c3Eoq7T3EAwSd7wFQXBrWbuvjc-VGmLqG90tMtNj4CxZ9WDRILHHSWt_lY_qtxTTrdEYbAnACRWinTaxpmHOzlVNUfRaKjKmohumDpuis3VahRc6nLrTqIhYukj_PP6n6Uiq6qRJJmcrFjePnnAgNc4AHM7lZjt8UZULKomJN4la1ix6PTdUS8kyTsCu0usVv6fqAW6XQ4gR5ut6y1UWgNAcRG10obQ18lrYngrmzVaAaDJJImBKpHVKPrt50mxlZa1ZtDQHHUHA4I3UxvVC1xaWkkYhp_3TDdNixME4j-Fk6J1NUnS3eJjdEZK1ZlOjNrSbcoevF6qrNQvZcmC5ZMqWvS4ObZkXgLS-HpkOqAhxEXgoXWllYS4hxmbnwiKVesFWxAgXJ5QLVr_AOWS4AghGpykeN1tMOkQBH1CVjGuNeP_AIdzny2efhcbMaSMSDBaQbmMrM2C1CoBUgOlhGorpxk3XO2K9VVaAG2p9gMA4C3bjnryepoAS4tOhouwHPlYtaW_Tuu9GoO-GNyTueFeNXt6PVdQXNc-mYY7gLZ-VZqejrP8mwfNyQmSxfypanRv6eq5pENGIK55lJy7ev8Ao9J1NznP7YGAV1ibtfR9FXYaZMuvsQtJymN1Go01GtaIMXBRhvo0xUbBdAzbKLjRMUjF4jwik1Oa76Y3vujI1HNeG6nRuCBhEOym0hwIGt3JRuFrA6S0ST4KKy1emNVmkSYz4WdrXH1iZ0YqVLtgNzJsVP8AV_LtqpML6bxTA5NQ4SzY1LHl9T-nsBe4HUPqaeVwsVb9P0ta11ZjgRsDhc1le90FQgxHqB30gccFbbYv1SiKbNUWJJI3C48p9V4-lrqcmWyLSVxl7b4q9O7uF3dotwsOkejTJLIa2byFm3G3oUw4Cm43AF4Tf0rbRqN1S2TIjCysmNlN5pnUZgAAjlVWWoTUPkuJkLnQzOxumQIMyFR6FEio1sfUd8Ln4K0xrLhYXGT-VRDqQx1UFoPCyA17SNJJ8QtAPOsmAIKCLyWmYsMXTBCo4vcCDBOLKBYLo_dnJS2BCA4kyYAkgDCBcDU28_EJgDRpcxxmDa6o3OotdeTGcJ4Jsn1LEQNzskGyk7U5sTxOy1BJzCHG5OYBNieVmjm6nNcARqWLApGlpJi3GVIJ2MQZA5Uy6JPIcO0H7LpJgJdquJAwkodoG9wQmhmd4g_T7JbjWLNuNMfT_C5ysuFKTqIzha1qTXRpu2De6Z-mxmdIMAE7mITMO1BU0ggbWzn2UgdgIMNuMXVwULTpERClXshsCQIHhRe_otdpbP7Sp6yawNh99k1VNIIMfccqytbo03N9SYMnEro5V6nS1CAALzeV2lYWc0ttac5W1jqdTX2AQRyVY6NB7g2Zg7reJpwdLXA2EcKKFMERugoYqtIA7lAxZEE2gQIXGwITsSSRsVNjTv3Sc-EWUarpB0kCeVi-NkB99WSuXgZzhJGPOxS1dI0EACfdZWO0wLuxi11FxVhLQHG0KSY1ZgOfpaXebpawqyHgbED4Kx63L0qIYHNFuCtxtzKuohpcTp3jKYKBwdyERSlqL8SN7rUYt1rDdR7fe66sqBuDugk9wnttyUHMFp_-0Ba1rSDJPhBRjibA_BRKsPCiJuAkkcoKtAEnchXWtdqOnTjhPQXCAAMnPhXAjjLx42TAQwkYAE_dTBN9M5vdc7FjhEQPssuhg0OaTYSijTjW2T3KT1nGhlUCCXfBXWMLtfpkyQFYizXFwk39lrsB1QQZPcNli3vpqTQIkOBPcRKxroU1G6hJgebKypQ0y6VvrHOxKoYIkwYkhYsa4sb3aTDseFxvVapqeDx5KjKl4kkgLDVK14a4NMmVr1SS6SSJP8JgYVBIsYPhNHBs5xyCqKAbgW_lNzoOW3JmMJboLDqJkZSXBemdRv2-y172zZtagNInhdpWL07XqDhMAoJPEgYB8LnW4Ql2o-y5dNBOr6cxvstegAxc5NlNFmuaMmFR0gixU8o0UXC15sukSrmoN91WdNT7QL38KYtUA1nghVlQCYg-6LbBBDHQLgqsq03htyN1n6jVTsBN3LtO4x250vdcfhYrcDQRImyxR0wIFjzOVlZ2ezgTad4CUEdpvk7hFwdY-EjIEgixJTF0mqZO_myAF0y26YjmmdkxdcTBMgeFA2qTwrA2og322VQ7bm0qCwEC4TDCggE5AQc1wm5IQWY-9vwqLB0kT7IEDS6SDAxlAxbIAab7oGptBBsUDB7m7WndBVp1OzEKwzTgAmVWTNOmZV-DgJibjwoOaIkwQOEoBbqIgrEDGBeVsF1QAWmCpoBI_stQK5kAE7KWgarchYkQ7YEHDVtRMHM3xGy3GeXiukBsEzJXVzKTpyLKA04MkR4Wpos9he0bAflQRcXC0i3KzY1JqLheb-Vm3sxSlUvB2wYW5Ua6UgXiFv1DBzWwM7XUUrnB0ysdIabAzJ4hagIefZA4HmUDtdGLgoGm1jtsgRxLoFoWe1TcSBkR4ypVk01I6sfZajP1pbb2VBnjC1GsKCC_dTWVQ6RwgYPEGfwqrnPkyOEoXYXSVDMicqmKDtxk5RNUaTYQJhWJo-mIyZStSokEftnyo0UEajOYQpHw24v7rNZK47FQETN8IOnF7IEnOIlADvhARUAiCqODtW6apnOkHhQ1zGSATfytzo1TVYQjQfVHussqNdaSO3kIgtcRbZaWxRrZIK6RypyCROFUAG-bFZquAINsLFRxA9gjrKE3IOESyUuomwAgImYJBEHbdakTA1BaxNB0x48KLHTLRAus6pgYCoB2A5VBN9rrNSeuMSJmQrKX9CXREzC1Uji-BAys1r64OAMKYug90iNyrjFDSfhSIpTBXQWa3S4GFQQbzaFR2kGTgnhW3Zi_CkwYjCkRzXd0rYJMi2UoLbCJyshomf5QMIBO8LQ4vF-FmwLr8LA6QAIJ9oQJMmQLoCHRtISAtiZG2yAvsLCPConOAUFBO2FoBroJslDZJlJQo8Jv0O0pQXDTgKW6GY6R5WQJGpXBzyZstDgCRdAzYItchBRsx_ZTAWm52Vvg7EndSByZaRhX8qDqH-mfKzbg_lNTIBbAlxz5X075qLOkQZAPlTGwNNzdwZOcwqdQ9NzWvBmZsFO01vo1Q0RpjzKzZo30qjXgGbQJ8qYmttLtLTgG4kzJV8jTd09SYbOm1yB9kR6NF5ZpaTc5I3VV3UtL6biGgbSorGGwe1mrkc_7IrhqpgBwEzIAwFjlx-t3lgsqaxEh8f6bhYwvKaswS46YAAVX-1HAeo1oMHc8ImtFfp21aUEtMgxBwFKsfB_1F1lHpemdQe1pe92ojcBc7XR8X19WmKM0nS52AdgsO07iVKoA2dEvwTKjFqtKpqqERAxc_hbjOt9Op6RaGOJIEwu0qWNresJvIABxC3bP2w20HlwDnD2C53-huptbIgWlQOzseIIm8bq4KOcQwu-kESZEQkTCiuKjNJOoG8cqVolTtpaqbmjkTdZrfjLX6prGkiC6NJedlEndZatRrmCIEbo1I8nqX9pI-q-EbtYfVcX9xlnvlHPpt6ckMlkQf_IQ7aGvAfpMzGRshHNItrIubAcIuHOq0gexNkMZOqisYae03JO5U_0jE3p_TbcgOJss3-nXZ8edXcPVIAMLl-LJGVWUnGO4zAAW5058vU-u6kB_dZ2gACFaw87qOqFSk-m3sm4L8LlemmerWloqCLHSSCputa9n9A6lhI1DUw5C7cZsStdfpD0dZ7mE6HOkOKuYyr1DGllN1pGGk7oNlGoKLhLQHESQFYu49fpawcyWiCdiFpeXb0qEkdpBcYujGPRonVaPqESLXVsaWDfSbpJFrCVGVmtOoGZbtfCINSmWOLQQ4GLEYQcafotLndzomUWVB8U3gkTqG2EWg54YxoaQHE8rnarzeqqmmwPkAHIlU3VOi6ltVroODYBZ0kRFJtZjqcO1AE2Nhdc-Tsei1xcAyKkjn-VjG5Hs9DTNKgCHDW7AnCrTH-pVH1W_Rqdqudj4XLlCPJq0zX1CQxwNhs3wuNnbUWosNwCBy72XOukenQDSWlzgHZFln61Nb6YljgASTuBZTqR0xooE6mtLcYIUVqpmaZAGnyUk77EWNcC4NyAnKJRoZ51brnYet3TgzO0ZWaqgDp1YJsePugR7ZdIgH8H2QReSHtkwAYEJg4gMnUIhUTqYEAniOFfyCOaL2MxuQgmJDpILfYLNB1AEht4ErInEumR7K7nQLXh7wCIb_daGr1GhtvYIFDTOogWxG6gek4xqiDMwtQORofqgxFpMqUJUaA0HcXiYUCl0EHO8ArlZ2IOqTkWmw3W5ArgLkG04W72C1lxx7rGYqxpkRPNoCIam1wbq1SMlSumdLObJBYLEb5WcZwzWgAZnA2VxLnxKJbJ-y1eljmN7jYknlZrdEi5dFwOUkF6btUgQCYzwteAho1aSYAOfCyb8EPsAG5UsXK5tMSTEn3yk69QX6vPvCZoUEw4AELWJ9Uaztn93MrUWt_SntJnwu3GYxY2vfopgTc8Lp_pOiMqubUj6uFJyixupO1ST2zkhddWqNAJP7r7K0twwZcmd8LKS7TBsH6Y8I07USIMFToc5hc-SZ8rlymAPbpB_1fhZWdAWib45Usb0rmtL7SdvysWK4MsRYxeFzxSVGkGwgKY0ZzoIODzKxre76o3ubODPFk1KR7wH-CbrJIrRI_aO2ccKTpVnAvbcCADaV0bTDPpiBpEwlRRriHNk2A2WarXQENJiAcldeLlWmmIJEiPOVtDuuIIPwjJTT1OF4J2VB9LTO45lF1N9MWIkfClppx2nhSIpaMR8qhiwEDA8qIM2IJhVXC8A4SLDuvAtOy0pAbmRcboG1Q43GLKCbxqdcSBGTlYs0LovEweAsXpYY1CxhETHAWW9TpVtTw2cm0LKcrizAQ4LpEaGu1QHfTyTlaZXpO00yJC2FJIMz9R_C4ukMahkZEYUrRC8tMiPEXVDtdAANt1rWan1BiMHypWZcYqz7m0TsVzp06m0GzvgLHbeKkazMieJTopdWok3nCuM6RxByMHlF07Tabtn9qzsVQd7WkQARELStDCdJbkgQmAOaDf4hZAkg2EOwt_BWk484yk9RoDrzOkFdZWbAM-4U3THPOoENzwpWok4xYg3XGxSg3s22LKwcMwBYJZgpr7Y5WqCDGQMbLP0UZJaedl1gux5-lthwVtixdh2m6lSqydNojxsiSmbAtF4zKi_2DCdUbcqbU9WY0gbRNpVGqg8N_8AlzK6cWDhsuBieZKlna6appJAGFiqk6DIyZXNVJgRO2AruoGshwJFoTF1xIgbqRcMYDef9lplzA0E2ACile-YIEQEQGmXHhUB41GSbbKUEOiPNoKgo0agbwfK0KgeZCBmy4QRZAXUpNjZAsQ6JmN1BZlmm8qyKs3AME8q4YF4iYAOCojmkRFiVBUGBf7KjiCGiEFKcTPKKprmwhVPTvb3Tmy0yUWMY8qBg6Gx5sSpVkLYOyLlQwbsJn7IhSNWPygeIF_5W5QrgHHP5WaEDTqAATFxWA3PwniCwH3utz-kviwEtjF11jklUbpEbpRzDGSFIrRTYC0SJat70hX0w5sRJ2lZWXEXho8-y411GlTBMYtuunGscmlktERJ8LpP6ZAusLmStNEJJEjYxCwwsw2_GUgoGy8EwtBnYgCBzKYrmmTcLKGJ0tAFrJgQuAbZS1uYSCYvC5tqUwGkkEmV0jko1xJzZVFP2i8StRqBEEAhRKdjS3lXEMBJzCgoWyCVrAjbWlZwOCScKqqbzKrnygg9y1CH1gggWKZrJHtEAxfwpZjcTcI2UdMRdcEbzKzSkOcSoyYHTc24QK50oFDfIQAEOQAtIcYCCjCNBOy1gJEkgYA3UDscS2IxZVSxpmAq0YMdIwFlMUZhaMUaJiChTtjTebrUcfuGaQAABZbQXMgiFmrE3ON944WYuO-ryrgBmOFlqeg24k5OySLTONiMytskJ0-REQrrNEERbKUcJAhZwpmukWEoQCBqjcKqDjBEQPdYWT6IiELBJDRJghbSOAjKKEXRK4xHCEAEl0bLB7VAQPHutypYsxw91qVCEyTIQNrtCaOe31Mj4Wp4kCNJx9lVM25GyopE-yBmuAA4yoBq1f8A0rKAWy1NAsdsLFHFhBBvCupoASPhMUukGCLLN7BaIJP4QA2uLoOBkknPCbAQNRHAWg9iQBAQdIuNsqAAS5NDICXQIyVB2oGw2VgLW5P8q26ON8n_AJWoHY6G8IOYNJuZ3WaKhwxuU0LMHyqHaZdBiBygYiDcj2WRMuLbCYTNH8qaLiHki7uF9RZPj5uKkFxk_Secq43mBq0GLQXXAKlYvajCGAhojnSURroh3cQJbYibqJ22U3NAAAI8rKNnTVHGD9QI-oYTGtejRdaQeAQPCvTUeiyo4tYIaB-SmKoHy1wdIggDSmDqX-Y8OBhzjed1MXUuvoimS5slpuonrDSe7uIdAm2xWGmqg76puBg5UxqNZEi4a4uPN1Gmr1A5jwQGt0WblXFf5f8A1DRqP6pwNLS2buK4cpg8F_TizTTgzlZ_10mvPr0TRcRGkzNymM267pnBzC8tuDiVYka21T6rdMgNytNXxvp1iRq1WJktPKsZel09cNe20zwtI9WjUDnag4NBtwrA7NGog24MJRqpaQdJFiD5lQQqdPGnSCIyiz3EyDYBsgC6w6PL6tpaZ1ZnyhMlSnVSuJjIhVrc6ed1tSWHSANlEvKMDmBvB8FRhqo1IpAxEcGVY1qhrvOlwBxc8odKhwe9vqHVaAritD6cs7e10_hQYngBslwc6ZTEZ-pqlzS21t1m-JLjxOsGbmRYkbpjpO5qDNWvTPd9RjhZrHLltTr1RVrh9RuogaWDeFNYxm6hzqrTAtN2TgLNiphxpMYSwAOM6ZiFJExs_TK5DiNDTql0A4uunHqr6-oj_E0dB0sc0CAbrorLSZd3qMJIt3bLNYNS1aZcZLRNkw9et-n1NcDVB4_stNyPY6c6WDHkD_dE1r6d5YRLu07ImtjHh7CJiMWQ6rQ9xGDaLSEZUoy-XuMOtYo1M-uqAucQR2xdFZo9K2078IMtbuq9oNxnhZsGKrQNVgDu8xbhQ2O6FppElollhJGDws4Suq66PVOY0Q03MlZ112NVCnGqBpY3cfuKzjcr0mPDX0qYY3URhuVK1ofrJNDpGOGkOzGx9ljlPMJXkVAz0A4UZrujVC8_KOkM2mfUEvjct3suTpI9DogKjml1IyRZxwFG49KmzuDZ1wLcBZrbQ2mA0OcBJkiCpBeAIA3GJVCuEMdBgjNsqZoSg0k6SYJ_CnUHpUCGDSRi5B3XOis-oZO_Oyz2M_Us0TDdIBgKURYZbi5PytgvwARqvJlPq6i6NGDJEWRlLuH12i0FRTESLfUT8JYnaDzcgTI4Wd-KlTJMg2PKuaL-k5xbDQDqV8gtIMmCBOFjj-wzWAM1Gw4Ws7FqYGmQATuDwuk69CvnQcg-VkAdrCXfCDO-oS4iRA2AWb_TUkDDQ0CARIlZ7ifCDBsLeFfUNT7nG0eVMVsaSZGGgJR0DSABIGYUnbqoJaNM_KuM2ak86XgQZ8rLFF9UOaDaI4V9Qjq4MAAk5krcjW0Gkl4AaS0kJYq4BaTeIWfWjPJGl8CAk8HBxgEzEWTxdcw2s3zdS9os89stsgnJLQLk-6sXpQtLiIMeFYlvTR0tXRUMiYtK78axj0hpe3tgzeJXS9pOg0wWkAmPws9y-OmNNGoBpEXOQuqNTTIIiFdSzTU9UkzgqEirmuu4CTwErQagXcRC5aA6A-xg7nZS9ib3AmSDpwIKyrnEFoFvYo1jqbCTayl7axfuaACQQFmzFjITA-qZ_C52fWk_ULHEQI5C5WaCx5bm_uUzpYZ5Bb5G6y6atSqaYbhpGU9vbNqjXE3JjyFtdBz_ACCf-45RblhqdZr_AKZ-VExqoOIMEmCunFmt7cgYW3NdrSIN2zghbQNJDrkE-FMP8Tc2IA91kc0kRueAiifodEE8coluOotcSIuOUFKlMxcYPKdqAJ0EzHuoOa4z_wBqSYKG7RcwRhWgFoDE1dRcC73mxCqu1RmOEoRzyyCBNrrlYscahazgkLLeJUXTUv3DkrH0z9tLSDAiOCts0zCZiJGyustVMgNE2MRErqKOMae2FxdYTVAcLyLormMv3Z8IH7tQO-yMFrAPaSM_hVPxZKjYEEA8k3UamlAAuO6MLJ_pszAHsmaZnibiLj6W8qXpPvaRhxLTeVlaq2GkZEJmrFmvgg5AV86Vcu0lpEwdlZQjnnM-3hY9DiprEj2Vn9hqUt028yk7Dl3df3ldPgsHNsCb7qRm764PvYflaWdouBc4xIAK51SQBMSDOVnwFp0OJGE7od7i0WuCbeFf9BDi53hBRroOb4AVFPUgxkwtaKUahDhcm2FqXUs1ta_U3-StRyw7CHZ2WqpjDdxfZZxqU7HAiMqVK0U2amjaMrf9RiqXaPMLNSFd23ORssVoJNiVzbO103wVWQ1zm5TUO0wYjCSNWgSNQNzfYLTInSATptsFAC4kRpzsoOEtdcW-y0BBOQOZU9AccfypBoZDmiQDytAtgQ0CCeFBZokBUGwaZQIM2iEDsMkjdIqwsIk-ytpaV7_F1EPJI4nwolB1QmYwN1VVYO2CgowgG90DtGp0A2KJatOkQc4ldPJiJkjUZusYDM4dbhU0Hwcm6GuBkckYWQXTab8woOiI5lDRAIdM-y3OzRAkgzfBQ0HAzmQlDUp-omBwtcIXxTXP3yuzkV7wSPsFn0wrbutYbKyYNNK4JOAqhomOEGUiCdlyrrPFKJJN1uM8lgZIEDyVphznGfHCurpDGrEeVjUM3Nz7QFqC7YIBIi3KfVOIeIiPda7HFpFwmAEiVhCOGYnO6lanrmCRc_dGxadLrghvCMWYpuTsLrTJmvmLWPKao3kGbIKtfqAmDHC18Q8D9tiquaYPkQSFdMwpJ2ClHA9onPhRFqeCMyrNSmi-IWsrGmMCIF95QwCYAP4Uqyd9IvcbmCTwo6aR8-ymmkMCSZUABM3IPAlRHHiT5WtCyQB_dQLJ1XsPZQNINp-UBIJPK2vTmAxc-4WQ0wTGCgcaS0bEK2mhIyLfKkFGkjIWlhwYd23CFO_6rElXXOzFGOkEFdIxXOcDZSrxI92m_KxW9cHCAQFYwVxDrm3hLizdc0CP91lui0hoj6vMrc7ms_XOvNogI1fCE3C1rmoxsmb-yqOAvn4CyOdIJcosJIcJMSs1uXRDQFChe_8AZaZBzneflKGZgyrKeuKDmmAVip9BtpvqE5SKpTdBErpEp3iTuqhwJHCJQkA3srEg-oOFpowNjaOFrA4PiVKFBvwoH0m-ykAvESt4FPaN1igl-L7LKYR57eT4VVwu2Cp6A9pnP_KAmwQLqBznwUDtBJPC1A-mLyJQK7AOVNDNk6YgSFAZEYMoOOFQrTMExPKCkzYWHCANFzZa0MInx7pBUwRwpQjCYPupAwEi0rQZv1XKWihNpysCL3DVgrWj-UoPd7AGy-rkx80t6hc4OLtPv_useGlqO0gHXN4sUo2dO0BsuuTzgQsjXrLmOItFrLVxBNclsA3AvyuaNPSdSbMcYBKNPX6Z-kySLmxFijUaRXNN5eCTBFpXRLVf8b_mGNzKiymb1Ze6mWj6czul8Feur66Idpz9wsLHnTMQJk53XO60q2o6mHNDZkgl2wSdVqeHf1QDjeRIEnAW8bj0Ok6qlAI1TMQd0VSt-ndJ1rdLqLSHjUXb-yxy4xHzv65_TZqdK-n09Brmi-o5b4XKxrdmP80_UafovdqbDswdhwudSPLNZtHuDiA4xMZRVqHUu0yZLTytLWzpuoFU3sB91Yw9ahVkN0l07SIWh63SudLWEf8A2rB6GsuA7rDaLJRobUZYgwB-3AUGmm0PtfSclamLGbrGhrzJbAvA3WbI3rzeqpOdSL5bDVg15FeqKDXSTBHzKJf28qpV9UPP1OFoGyyz2zOOiRm_1FaaX6es0dsgySAUGh7vSuJDfKEDpXg1LAEOO-y1F16rT2W-rE_7JmprBGs4gAhoKqysvUP0tabPF5nKwPL6inrfgNOe0KF68YnPZTOh0lxuSVElrL1VYsMscBa-lZrZaZAa4kHuEzN1GF__AMf_APkenaWvIiT78KyG1Kg93RusNLTE6rqXqmWtNb-pg2toa1jYEgxlPyTMaP0z-pD1DiysyTwCtS6V9P0XTUOpYCacOiJGV0iedt9HofQPY4ERcFXF_JpBBZ22i2mLBSxK0sqFwaP3DbyojZ6ji5oMXN9KZVjU4lwBsQBhA9J7IAaJcbgcoy0QQC4tOcBHSMtXpwX3wT9wi2p1-lp0mEBpadiozfHnPa5r2NgwP2gqWMKUXhrXBrQTYQ7AUbibxBL3EB4cZCxmq1Ui1lFpDwQFOp66yq9HUJqOqU3XGIz5XL1qeqfqlU1NPrgFrQGNAtCzb3I28x3dWcNTyT-0WXLl63xq_TsfUe9wmB9U5BnZcrxeidvUoMDCGzpG6zjWNxpMpgOa7tiflZqtXTtbUaNAA2NrrGqd7fQeA490TqJU1EKxc6gZcDNwroHTN7g4m_m0LNZ16FPvIEh0G3lZaafTcDBAIOwOEGetUaCQRqG0qWaJkCS0Ngm-oIJwAIyd52V_odW06JEfCk6oysGonVLiDjKoZ7xTa6WjVNryl8EAZMN-o8LOdAMpQ6GknglJMFi7S2bvdO2yzb2HaXNeO0iRNjcJZndWeqBgJcTe31ZutTVsw9NoLZB7Tiy6ysurQGCCDsdoUog6pFm4xdZEZLnAuseQufbWHewPIOogBa6xEXnV2gnK5otQJDSCfGF043oX1lo_1DFlLixYN-kaQCB91nxd6K8yO_8AafhXV1GpqBP8yss3sHvtmZtG63EANkEkAwtKOoNcImDhPXTI1USbmZj9qngnVqNJBIFraVLVcH2mAP8AZQwrq0EAT91DFmv1CY3uN0A4MraLteCNJB8QkGmm0FrbRA5XSf0NVB8A294suqYdjyXRMjwoq7QGjOb3W9VqZVkOaXSDcQridLsuJBNvCqqTp7QYPKIR14IzwsdCbngWlZwNEuDgIUxuaVxuC67pU8bWpVAXadMgfuHKk9Dvdc9oEBTkMlU6TkAxdeflFiAc12Lunm6in0HVLtrQoGBDQRFpss5VFpIBHcd4myM1QOi0xvZNa8IO5wzlVZV2D0yTEjkqNarSquAa43HutSs269SjULhMA7G-F6JmOdjW3_NbEwAt4z2D3RYnGVYml7pcf2xusWNJOJGBjJTFBrrGRE7wsovSdAg7rcU-qWjhLApZMyY4WMQzKftfhSr6adEE4FjCekK9-q5Exuq1iBJmIAaM8qDmG5w0DyglVe4wJvwsclhXF3pEOtA2WL06QlKJDgbLML00j6c25C0zVKR2gyMKxldjA4GxnN1qkihJAImTwsOjtExOIGEUwIa6zsZQAnTGL8ozegNSO0CBydkJdTc3VY3A3RpMt9OQQR5WcYvpNRdsBG6u40k4AwJuNln0AOIEG4PlMxi-qXgTA-VN7aijXBr23FzYkQrWli-Xm4tupBN9MEzPkeVPopRIvpEArVBD-4xYLM6FmmQInSun9B4vurOktVYwDOOFUiNc9pixlZxpnc_VfJWKK0iDaIWYKFwAaCCrQjbHuJyngY3JDQgowmoQLAgbKCzDGnldJYNIfaG3K0lVpmDDiPcrUc6qw6jaIC3iLsaAJBudljF1egZtK1Gaq8ECYBHKWESe8G0XjKzVDUIMkyuWdrrgSMXHKl7IQbg5CuIq19rmZTpcVZJMkWyqjngatvAnKgQZPd7-FJ21h3DtB2WmSNIBIClXAgONzJUwxRva0gZvZUWaNJ88hMT1djdM7R-VQS5rrZHKBHt0jjhA1LTqI1eyCkm8qAGIlUEVGyMwiUCdbrWCEUpugxsjRw_U-Iid0RopOvOIVjKjwS0rpvQQMsZnUPyuQ4EGdvdWLSh4cYiTCVBYYMbqLDAQ43N_soCBvKsQXkNMC5Oy0Eb7QZUDEaY3Sh2HSCBdb4peyuycjwt6khQ4z4UhdWbeCcjha1zXowB4Oy3A7s_SSlGR1nc8lcuUdJ4YOIcINlPKlUYYj-66zpgzo1SbIFcQI5UoekCbbKioAm5sgs2ABYx4VHFurEpoR4DREn3KhiZffMlY-tyObAARrezN7imMWmDu0ZPsqkmuZUvcA-11I1ZIvEDJAXSMOB0xBmbkq-Cusadip6Fa_tE4ShS9pxcobilK2ysT1Rp0kbBaZssP7G-xWtJDtuWzPus9l6cYcPKixHSQSjeC46e0j5UpWd7jrAzCygN7ZsJQFwOyBPEwgE2vngoOg8QVMDtmLz8LpAd5yfKyBcOviFIHFxa6tDNZYz-E2rqgsSchaaMLe_CBmvlxm3hEvZwQIK6RypdRLj-CpWQd3G6w6SAN74Rmz9CZe4kwLIsMYAvYI0Aa3bZXUzsJDj2prXwILSrKxh9btNj8rbDgDndZV2qbFaQA2XDyFLGp04kNWK2YjVBFvKgk4iZF_CBmGSiYVpNycldGMMSBvtKyuFaJwIQPGmDlagqT2g7laZK06ln6p3W7RfyqgUxLvC1BezQtaA4xg2WPqfSNkG60q4OscJAM2Wx0S0h1wuVEyAMqBCPugIEASYQF0xMSJQIWkhA1OmCQTfZBUduAqBkE7qhXWIzZZHNIOLHZWBnAyBKAv8JBwdDSlBAm4KgoDEEiCqDFkoLTIjhQFjYEqh5CvoR1t7hZHCpa5KA53QfyiYC2DzFl9c-aM-oPpdYG4lYvQ5h9UxAddZG5ridIJA8ZlBoZrqTPbaeEsQWw98OIYRxwsrJG2lTE6okjELLWPVou0UwZE4g_yroD26HS4kEf6VdrNIx5q1B-0H6YyU0j0-mpTRAbIM3BWm_DOcRosDErBqT9ZLnBmcuNgFBn6qpUp9gs058-VnexmdWuACB4AVg9DpaxvLvYErTpK9Tpa4Y8AkNcDIJuFittP-Ja2nVDg06tisI_zb-vulpUKzntZTDi6Dxdc63H-d9RRLa4aZtHss4vxdrNT41Q1ptCp620oFcAxpP-nKJZj2qFTSxoJEc7rfHtl6_S1NR7ZDwPhW9JGkVNQdiMSOVFU6cOg6sZjMFEvT0CQ0Fo7ZIuSqptAeR2kl0iVaqHVUmNY51iTaDjC5LLMfIfqECs5kg7glGnnyTTsGtI43Uw-MlRhqSZ7puIRk3TzTqNvIBsqrQa1yCDpNyCixq6WiydbTaMla4_2jWHu9MRknf-y3LjXTJXeWAGbys1kBT9ZskQTb_6TNP6YOq6csLi0mS38rNi3t871wio91nmO65ssM5kY3UyNN4GSdip9G6i4tDRGlsRIATNTW7pqh6SmWghzdIAELfjTxv1DqXva7tAECYXDl668fHkVHes8YaPe65648vWnpeo9GtTdjTvlbhr7X9L_WNZAH0rvxqPqenrlzA4kaTC6xmtzYqOkyOCLArFVzdbtJbgnPskVspt1hsS2MeVpxtutlBp9JxETNpKnrpFms-knYRAKYq7ajm0wCdPubpkVzJqNIaJE3JUppK1EvJlx0be6i3tl6nofTGt0uaTvuiY8_8AxDKTzLS1gysWrGWtVJYKlNsg7FY7jpOK9JoqGHENaRJJS2NPa6ZrAykGQA1v1Gy543jP-p0nVqQFM6marxk-y5cl8Qo0vS7C4Pk_VHd7LjfXbjjR0-kNOtpY6LablxUrt_bZTY2q4HU4cthY1ZW49O9xbqHZ4XO3Y0vSLZDcRsVhMO9usAhxO0FMUjgZIOQEXSU7CYm-OFKj0unEtcWgA-dlkisahpI0kXnlTsZ-oolsuw0RkJn6UmoMMkGdoVqEfD3Ai0G5OMKSdAlgIsAR5Uv7gmRZ0RMXhWQQcw6XHSA3kbpRnqD0nSHRaRKk_Q4E6DBI3J4Wr2LUmFxBEy0Y2K53iKQ5pBMOOStWS-hT3RpdvcKwa6TdNFpO984WkRe4kRGoZKqkc0sGA6L3WauJvGoS2wxbZc76qbpAIJLoOYVvi9EbmxzuAlnTN_pppgQMqSYivGkCRyl9FNbi3UIPyoEc8BhtZ3ytZq1MvcwXDdKf0hKbu6N8SszoOJibmOd103RYQ4ibCeFn66wpLWvOYBS6A5oqOMN7tlm6oNH-o6Vf6HGHNEGHT-FUx1NxaQ6D91PFa6LNQn6rYJTVhxUDTY3PC1EWpHVADiJXSI0tpu2Mifuu2jS2mGC0yshmAu3nhWGtdCWHaZla1ietbHaXmc5Wmzgy4G3-_KCZBLhx4WMEdPznKS6o6gBOJWLdblc4gmBkcLLRwdJAggASk6Ts89xJGcXWbZRnee6DEwCs2dNRAN0uc_XHF1xqmbMZJLhKAspF5EmFm01Rp0PInVO8LKAXBrp1EnjwteNKNJIJtlZIYEtvEzsVrBSm6BJAI4VRv6WqNMkar7ldp4lbKUsdjtN11l_bNVLg8AQHHey05jYCZkDaFluFiZ1D5RpMtc1wNnN4UyIo0nRJn_ZPE09MnmeCkrShu6DA4VsDjtEYlZxHVKepuoGVMVkc6DAmZvKyuhrkERvmd1oLpcGkGFKpXAHVe4XO1qJvuBIk_wALHrTqbfESZvurFaWmNhfhQw2kO0y-PYKmRqptJAzi616C4aW3I1ey52qmO4gSQeAqKxBuY90HCJGo7b2KeoR1Xuix8cq_GfKBBIJP4UaRqt31ElGc1L1DJEicS1c72kcCTMG_lXcb0ukBgBNydldZs7M3tMZvkqNSKiZjj5RT_tJ0_LVZ4EmYJBHlZ-s78L3GBcwbCcq2qqG6SIvupBUPIG88LWq0UnS6DkflaTDF0QSRq4QwjhNyBPE2RWd4kkAGYsCsXoM3UD_pjZYnoZ7-c-NlQWuDYkyVOx0EEjE4U2ijAQZFhyrBdjiMwtRmrNcJEW5hdLT4s12p1-2y1MYVpO7hF1uck1rpiQRJlaFtOmIhXA4fcNF5KxZRz2QMSsmpzpdBvAXKhXgHHss-NwrCS4l1o_K0uTVQ4iNuPKln6KuzEkkbQq5kdcGL8KVYDWibzlSNYqD2xzaZWmEiy5AE-VnxqGDYi-91YWm1em6Re6Mr0y5wEAFUORaJlB2-CPdAAdW90D02ge6CgBBEFFc4Q6JkQmAESLCAiAHCYBHKBm73F0F9J0NtAKDTT06YctJT53k7LViEqGc2Phc6uCCHXiSVYhXAgXEcJQCJaL35CyHtpAJwtAttJwkCuALtWr5S0c0ar3nlQMx0WWgS07XPCsQCSbnK0rrQYGESnBDgbx5C1rni9KwzPlbQ5fGrn2VojVESQLfys1qVNoIzY8LMn7VpgmNz4W4w5zCYuS0Z8oC8AEmAR-VKKMIzKsHRqMbIKsB5t5Wg8WibpgSoyRhZqpENawwZ8qZI3NTbUgjAXO1cUpvhvklalZscRIi8-DCavHY6lYrUw5NNN0mCtRzOAIEGVegBgXuVNAe7QLZQKAT_AMolmnYb5IKasmKM7iNyt6tyq4A58IhwdMThWhHOk2MBZXopfyooFxMmLblXkhInOVhHFg9uZVE5twoOsLyI2QdOrIklBzWgxmVQxdAjdNHNdmRKmgtlrTKBm3-0qh2m1yBKgoAAFdXQkiP5V1dPIge6emifJXSOdO67QrazE4O6xWpcOAWiYB8KNzKBdM2g8IeBA0yDuhHAYtEeUWnbYk7fhUoRIJyrrNACLOyrvTGOnSROcXQdrkmAtMgTIiCIwgBbb_dSx0lPNiMQFitIvJkQVFK3ESrCnBGSYK1rnZpmuLhcSoeDvcRKdhmgAZW4zo5EzEKoAJBG4WfoJcHEGbcKizHWFvlT6GJPuFvQXC9sJ0CwD4U0MMmNlqASHcra44zA3WLiEcbnZZEi8gmbqAtuBjygLSQ4nZBxMn_uQMCGtg2JQUZBwZQEwI4VCatU8qBSZEREbhAWkRaZTQbzjK1A4bA5TAzY3UBi1p-UHMafcq26KiA3ysgF0kKggyZSBKlydkBZcRAUHFt8FB_KBlRpcAcD4X1fb5rHTraQATBt5U7XFKbg1sHM2HhMJGmj1MtFu0GBAupiVY1TTBlwdaQDlaTFqL2ukwDAHypZjUb2OLXgutn5C54rd072sh2SQLcIrupeX_SYAkko5m6VrjUBk6ZzCsaj1KWql2A9pMhxytLS9Q-IkkkAiy50-IDrwxkfszESp3istbqP8S76tIJsFLO1gUmta4hxk5GlPEvrXqbTeNIlwElaX429LVLu5rYeLHVuudrcux6FXpG1elewO_zQCRCyr_Kf6t62pTrE9QP81pgcEcrF6blfM0HUOsGmS1wMkqNad3Rupy6JpzaUXwwP-YI5TGbXrdNUGlstlwOFqRl6_SVS0EAgXmxn4VI2GroGtrJkxjCsRSjXNXTJ0HgCVcT16NN3qBo03cZmZhFUpv0tJE6hgyopawDWYF-Vmj5P9XZpc5zmwCYEbeVlrXj1WQ0mYAsDujWsrnlj2knuGR4Rf8XbUY93aSXDeE1kAJqA90TutYlv6bKT_TpOnJwZsqR1WsGAw4TgIqQeYAI1Rdt8oNfTu1A4mJjjwF04g9RRDaTsDYbpykzYR8z1rm06wbp7T4uVwsavbzqzA9w0NMNvnKxjn2m1h9VpmAckGy1Fka6jiejfotLczKWatr5utVLXQ3U4D6pOVzs-ptTb_l1S8QWkXDlzvqbqjD6j5AgeMKj2P0jqdDu4w0bArpKuPtP0jqw8mXEEiQPC6ys4-ipuJpscII3Gy1mjS03PaYNkyQaaI1h0EQALGylLWrpcXcABtusjQ4hjYB1SZNtl0gem7VTA0kGeFcFqTQ2qRcarcqWCtXS0hpZLhYXysY6DUe2pTcCdRiYAwoma-Urt_wA12s5J-ndc6k6QDb6Hg6cx5Wcd5Vuj0mtpe4Bsj7D_AMCxZ30r6j9NNNmp7mOeyILXLXkaU6-kzrCynRbpEzERHyufKS-K8VtQCo9tUEEdodG64WY1G_pKDjSLe1rgO0gyVzrpK2soFjA8jTpgxyVjxvadrnAECxOT4XNZt8VoM9RzTzwpZ9dFQ0U3loOvcqaA4aibgkYU6BYA2LRP1GFBr6ZrtEBwjMlZGnSBTBcQTMAcrK9JVod9X7dgcIjI8EPbnFlQlOm4AkX1DZN7wGpqMXEC5skEiRFrTYqjnukENERyoMtSmAdRMnjKBmOlsWBNsJKL6gxpAIEnIClCvEGQ4EEGAVL2Fb3OnEXWxqpPe-jLRvFxstQSedYmCWzBGFWuiT6jiBj-y51E9JEht4F5Wb4QCJN8gY2UlMLLnU4kSMStnh6ZDbkn_wCLdli9oq0awRN_Ky16o0zBdtYwtSdI4QJtnA4U1EnuOo9wvkFau9CTXFhDiCJGFm9jQwhrcw111PAWu0iDJK21pXGxIGcDKq6cNLWnZTtpNzpdBO0Y3WVgCneDlGlA0DFyFr1PFGGAG4k4RLVJ1WiIOeQqzvbXSkxAHyV0nqtfqHSTYRZdJ2GpvcBc74Ctg0UjocDBucKJ0s1-TYkb7LXHtPWqk7W0kETiDZbjS37RpzshAcwnVMjyoEAmcRtK50LUHaOFheKbQbGMqV0OAeb7oFJIJAG2yxi0XENgA45CUSdTcW5BHELlWoDXOAAj2WQ4c12JJUwA6gw_6ZUwCNTpFhvC0GdUEx9oCyvajO_JIdCsas6Wa8EBpsRbCpeK9M6SA25HK3Kw30Kmqxt5GF0iWLt-q0m0ZXTWLIYG9wTaCEI4PDmkN-EXSkFpBIniEY5VdoGmYvuNlrGY5rtJ07rLrDa4N4lNF2AObJJ0hamAvAZEfSUsIzVgCZJELlYMz7AmReykUgqENF7SlaBztQ1DJGQuV9bjiGsaL-0LLQNfG_4Q_wAXDxUECD75RVteltrkYsqKMqabCAcGcrTNrn1IO8HMrNhOwY4BxLvssNNBOsAZH5WgO0jSTMboJ2cbTMWhGc7GC0STlGkapkOAMlKM77arGNx5XKxn6k0FzoEgC91qKu6RTAtHJ_hXxSgGYIgeVi3ehUOIgCPdakFgS-O626eBXvECMT90rNcyoDOo_hZzSU5aO4wHfhIrhDiIAE5utVVGVQ2BPakoo4gxgnwtgAw2HTM5CCTgDJvOLoCDbTnyVzo4AEhuRseFkGb92FrQxqYA23CzQ9LUMCwufKQXbcTHwdlv-0scKkO5OAFPTGhjgQSduVuM1poASHTEfkLpI541UzcEY3XRWrVqaBEKpoAaSSPdTcUdQgkZPK56Ym45O3lcgLAXJlZrU_sgB8kDKjUpwZ8nnZaiWrSWNj8FVgpeQLEXWa1CB5Bn7pBUnUB-FWRL4aLx_ustQQ4yBmCtQxwAJOooyq0FgkfCoqCWmdkDjAm5QSEkhQXZ9KvwMHSI390iuBkcQYiMq2lri4uGmAAVCEcPTIiPdEVp1O2EGlrtQ2KKpTEZ_mVpm-qBxvOeVdQhM-yzfWwA0OPCiOqAuIIFlaYDMjAWUxXJtC1qBpknxsrAHC1_tClBaDnI8qQUYAZmy2A6Ad4U-o6NZkLcUWwTGPC1jNK4Q6RjeVMY1oovkEZW4h_qb3EyqEBuLd02lX0CA6QbHZZXRZOoEd3unaLEycR4Wv8AQtR0m1jELNHUiDJGeEgedBkZWg2omN0VaJF1piXsHQGnN9uFlpB5NycrFdJUX3IJj2C51o7Bk3-UiCTOknlahoj6tsrTPLxdp9pW2FqRMKzpSkFpjZSlDVO_3UR13SN_KDmtNMZhBoovwTAPC1FVLmzZVnSm-SrqS6QnJuVlsofOOLwoSgJybBaaogyfBKyzXOESDKiEgQTB4V9aK4WFlEGQ049kQQYIhVoRB-FEGWtn_dRHNMk2N1Q7RFxjCCpAFhbyVrA2sAQRKkE3GTcIuC0RbAmVrww7Pqg_C1GOSgAmN91qxmFJi2xWKV2qBBMeQiCSY7ospjpCOO4wL-6NwNeeSqU1N0m3CVP9PYWKjNAGblaQr-4TJVADZiJTUwbi-E0vY2IzdDAcQ3Ky6RPOTfhRfCntMonqrSTwgb1IGlatxMcBeSkrI6hMQtxmi5wwgR2RspVxzTfKn5M1am8_Ks7FWiRwVtNc58yoo05B8KCo7tp9lQNOYBWpV1xOnNlEI4B28LKagPq8_dFVBAsgBE2AQL9JEoGNxvdA9F2nOVRzjqylCEEYv5UHTdAWgSISByAwA8rXEEG0yIlavQdtt1gM48YUAD8qjtUtKg51iLoOk6swgJk3ydlRSmGkcnyoOIvckLfQ_kqDpiHXOLL6h8-q0tbBOqfCBmFziHEaTOQMoniwrAAiCjFg-uamBfAsrDGnp3EhrQNIiZ8Kcuzxpo1vp1EnIvwsLG2l1ZDSZAPA4UxK09O7U6HQ4QmMvX6U0-yCYJiBlMdG80vVAcL_ALbnC0hOs6JzqIAI0gXjJWOUP6eVULmNLQImIkLM6ViqOOrss4E35UnrSlIEMJAOgGNWLraf23McHFocZHhYtp63dNRa0SHudJm4WHWePUoy2hgxYDZFf5T_ANRukrUuoLnMLWEzY2MrlyI-Ga4062sGRu1SNyR73SVxWpd4gOHOFtbYV9M06o0wRCtY9aOjqBxAuXDYqy4j1Wl1MBwEJfVb-kqtqvDiCXDYqsNlFop9xJFjjZEx6HStNSmBsR8pGyT6LgA0jSfupUsdVfLdTQXAG44WR4P6vFbUARBGIxCuK-dr9sE28LCysVVrgQSGgnMG6NxXp6oFXSZcCfkIlV9YAO0mYMQVph1LqgQW4B2GxVbhTUnTxuTyi1ZtRpdqcbm0BGa006mrBgNK68cRQd03kZEnCDy-s6Rzq0RYXHlcrxq68St0wFUtBLZNuQsmodR0_ojUSXA3Dm7KYs5Z67_FzQBEw2IJFlEvdfP9SHMqOtqDjkrnaYk-o6QGxaxA_lYSTTU9ekEzBdgoudtvTktfpH08rUWvoP0XrnMDQ7VAwukZr7n9G6z1QQ90zucrrB7DaopsaA2CbyN1ajR0xBEi7Sbys2DRTIpNmYM_hSCzardDjBAnJW8S3HU6rW5J-9lrE1anUaXHST9WeVnV9XZW1kDuaZzCy6TzFajBpybySIuVkeB1FJxDgQSRfF_us2CEFvc6bjB2A2WbHUaHS6sQCAe5wtfZc7_6Wq9_9H6t_VEUq2ANxAPlX8rSNDyX1g2nBJGWFc7L8dKxV-kf3-qw2bLXbArjyjWdq9F02uixvqaXgl1x5ysuj1CAG6QZcZcCRErlzaTIc6odVgMDlc766RenLdV2mFhVHMBa0Nl-8TZQKBAnaLkqYDSEiDcE2J5Wamt3TtDmta4i11O1WDNdi4EZaR_CdCDgW3Jhu0iFm0ZXU9ZiIB4Mq4OpQAbuM-MJQKrTBLQbeMrWdCFSlIDy4WyMKaJVXkDeI-ygi5zfH3QcwETH3AU7DmNRMGxj3WtFO1w7gTwAMJIgPOoBrQ4DcKyK30W6ena6zoPOF0k6GeudDoaROYF1mpWcmznTB45WKROZaARBcLicrNVwbqbBAaFcE9RMG1hpurfBWPTZAFpWOIrSADgQNM3vupZ9F6bdJ7fryrO6JFwEHI3SxaDmggONhwt70iTojt-52WN2h6bxIBknCWYLlg0yLrOiTSWuLs-Cta1x9aMmSRC1O42SGvGBM2CzZlV3pcggDJKhpHtIxjwtQczWACeYROlmmbD7rUjLVRqBtjgYlbh21AnVAFvK6TpdaHNBqDgbrW9EuqNznt2ACxDFhDYLoDt75XTw87aKD9gZGy1C1rptgjUMoR1eA3u-kTupVSFnWELnf9DObIlpmUWeoPs6MxvK48unVQH1QwgRsYVgQOmQLX3Vqeg6sA2zbnyudqua8OAMe8FZ6DuotcNmjIus4sQqNI0xcLNU0lzC2YB8LHncT6WQ0wBfwina0ZiPdaz9tyYLyaYg74hVs1Oo57i52yMS9tFB4N5i9pCssTl61UCfmcLtvTFbdepsftG618YsUaQwAyTPC0uGa85LZdshjiQHRj3K1GPxcHgEAifdKpy4EAkyufbabqjfUBF4vlF-LdP1Gp1p1EStSo2EtfFiDC6XuDJXaZab_AsudEXtOkQ2xMyVzomNIBAztCRYBadRDp1RkWhc-XrpxdUIiWgefKw0k3V5RPD0jD7kgEbo0u0FlyLbhGf7XpXkwdJN4VMM-wsRJydkXwAzuBM4lYxV2yW8HK0Ob2uBAgRwgnqLHN28oHLQR5HKCFZpFwPKDO5wuZFhF91ys7RMOAwLWK3EPrJG53nlSqdhOpxJknF7qRVGw1kXk3WyFB1kiIIvKx9SnFTSLAFY71P9C9TwVuL0YSGC4BO6uHjg4B07xClQzHSZNtoWWmmiO3BgGF1gFZpJAMkfwqEd2ugm-ZCCNR3iDm6mANfqcd5WKKNNtpHlM6FPUl1w6MGyzehdoAGCfKZoqCQ02-CVsKLgzBE4CaKsPbcGCtRixop19LpgkARddJ6w29O4PjwIAK7QVcSze-8KCmsvbFgYssUESTe99gueGg8G5JBAKzQpIIxKzcWaSnIMY91ItM1ulwdElaZaNH-W0zpjZBN2BFvdZ1qQoGqfzCKq0SM4RMNBLY025KrIAwMZOyKZo4yFDFac2ECdrqoeYMEmOAqHp9x7jAAtbKB3RYxPlAGuhoBGyAgEkEHPKBnA2tfdAsydkDFvbfPKB2AQfCB2XBiZQaKbb3BlbSqF3xtcrNQogRE8W5UaJUcZLZnmEB_a0ZAyr8TSk3u35CgowS2w7hiVYlO1t3HfZPoDpxBE8qh6Ylt7xhQF0txhWhfUubFICHQLAglalCuJkbTtKfkyo0hzY3wuk8Zzs4im3N-SpPT8aZlQnJwtRkNRGeJWg7gXkERAU-B6d8KwGIPnlKFcNQJjBUDsZNxjMQiqBurwVto9FuqxEGcqRhQNzuVTIlUzMX5WaIv7QTM_K51Z6g46iXAfdYx0Mx0m_af4TKqpAiTt-VtmeGZd0iIKrNWAvmVWTsJmCtKR5MmOcKI6Ab_gICYI9igen7TKCzTBjIVimxJhacqBdujckJl0I6G0AHMFGaSpY9pAI2UoVocBOfBUBc4nhPEKRPbMbqLKAGTAjhAJDXAIigDQJvKqlJORZRCl3cs5RSntYgrQrPlAzSOJJ_CoppECbRwoJB3ctetGJEyLFIRRo1MsqlMwiYwt655gAScSLrNPXWMDwouYUC2kWPKWrHRsQFlpwbJytmnYyCYPaoCMwc7KxBAARPxTcSbY8KLmBMWKLDZBmVrizY4TnbhSpgOEjbwo6QhJ-PCKnUgwUBYJEqVKf1DAEwqp2ybmCPCsYsMZBibZW_jOaR2bX9klWQXAxGytMBoO2Fzuua7BpBv8Kw9ULtDQceFr4znabJc4_wB1WjtOm-_CB9cRkrUDzMnAUAdYB3PK1QpcHSBkLAT058FARkfygEjJUqwriSQYKsQGv97oLsaCJm6uhXOgwlAF_ZQPDS08oOaIOnI5QULfMXVgXTaLG6W6ObIJA_Kg7U7e_CoIb3SgYmBiyAE3WapmgQJutIZpsQbSoOu3MEFA3cfpiEH8lKUOBltsgusV9X_T5yVRoEAX0xIRZdA1DqBvAwCpfWlC4Oba1twqDScQ9jRJ3J2QXa-8NkDE7oNba7WOb3De26jGq-sBBbZwhIuNnT1mt7tQBmCYKjNj1ujrT9JEOMS7lRXqdN1QogYxE-UGsdWAQ0tJnhD1536gxhe6WmXXhYqzp4zqQZUa9v1H_Usqq2oS4tMEEgRMXTStFEyGl3bGASl3Uj0-g6kvL2ZAwTx4V_Fvf09Sl1ThQAyALDKljO36-a_qDoen_W2VGVWudpHbBsDwudjpK_x_r-lq9LXqCowt2jhcsytq_p9UOqC-0ZwtwevUpn0xLg694GVrEd02mhpOkybeyg9EVA49rpO6Db0ukGSS42wVamPSHeHxLfmxUqtPTlzDq8AqwU6qsDStAN8LWCdLWW6ZDRM-Vcg879QGlryRLgNhlSwfM9cG1DqcCHDBWLDO3mVHPa4wQQbWF1nGtwaeoFzXQDyri-ldDZGmAd5VHAva7U3GflYDmq4ADSQ0mZVjVEPk4JE3nK051rpO06QHQCIWojVRrhxDCd4PldZn0HqiKTCS1sHE5CXseN19HTqqGXGRpPPhc_xS3HjdTHpgAaRGJsSs2E2ztn6zqjT6anRZSJaMzhcq3jx3kEvDXQSfq_tC51Eg5tNzjqEnFllqKAan6oMn5UbmL0iKbwT9Q2FlcYvr1ulrsgOBh3utwfT_AKN1Pphp1at73XSJX1_R9QKzNRMkXF8Lp8Z-ttN7qLmiCQb5sopm9UH6NYMzAJuFZGWlj9QvBAO61rNlPVphpkQLJazYcE0w4Ey2b_8A2p66Raiwmq0m28bKVrXoNqA6hgWMhc3SdsVWlq1Q2RIyEEK3RNc6TMzFt0WVnf0rmuDZJAN1y5cXTqtgoNZUY5wDWBtwHT8piZ29roeldVY1xqduGhox7p43Uf1Crolh1O7QHNFhHK8_JuUOmAe8OYBqc0tMcQVxdZY0VKTXhkmCBGgOuPdcuSyr0wDTaQO8WB4XKus8cGt1SNPvGCs9Kq0ABk3c3KaJvIjJjEJA_TkMdEHxNgs2DUHAgDF7LAtT4BM7QqF6tp9NwInkrAwM00zBBnwtwVDjGw8lZC9rREA7WKuDJVPdpIvfKlgyvaA6ASJykgUs0iZABVwcQ1tyASAN1MBc0P0yIadgpRVpBIlaFD2gaWxO8rcG-iD6YBII_IXSeDPXaA-bXwMLFTWJocSDBBmJCwrmgMku3-FmjiWVGkxAxcq_RJrGtIggicLPK_oOJc0WBB2RVAwNdrjAsCVndWWOdX1Z9pF1NwrgJZADirZqV1Ro0iARPKslniELoADZA_lXP2AJD955KW4LFxFwZg3XOtSaUZkSB9wtcf7PFmtltxfZalWWmaCwu_d7KVpR7gQIHiCoF0ycEHeFqUI5pY8i_vK2lOHm0QHFHPxWgQ4EC438qxremui0AYK6jQ9-uDvsFfhNWY4CCSY8KcXQz6l2k4GPC1WatRqOEEmxtAV8c21lWWgSVuNyrB58afKjSb3OcT3ETiy42Z6Cy1thtCqwHtaTa03lcL3XSFpvEiBJ2lJcU9VpLYgWv7LV8GN4GrvAnAgrhQjDpuYvgKjVTfrGQJGFNXHPYAIBmBaLq2aqDmiQ4dsD5WPAdV4AiEUwdu5Gpyc8gxuDZF2GbYGbozc-K0WjUZx5Kz9ZejR7zBMWsSu8StlKCA0QT7WXX4hiA7tAmDglUEwAZ_agiawbcxHBKBqUAWgnZXcQ5EAYJm6ze1TfLXACGgg3lRqKUe1wjbhEraDIBmDC6S_GKBOsBwvtHC1iJvaCPElcrGkH04b2zBP4WWog9wcJc03K48_XSOa6W2MeN4WU2kcHAwMnE_3UratIgiJEcAKRWptyJ-o7laT5V6DAATpRRrNLWkY8JoQAgHERsp6HD77kJlHOqERHK1EF7pwtSaxeVKX6djEXKliylLyCYMAKNflGR2kugm0GyzS9mLBYkRFoCgaTpE38LNQGR9I7fdWEVa0EXsDhVpN_Y6RcC11LiHHe0nFrFSSz0Cm46zvATIKB3bEQbELW_o1zjqyJ3ssaaDakumCL2T8VbKclmZ3uuklBL5Ii-xhaSVGoJAlkXUEiQRBgn3WargAIwfAWLKC2LhoF8yk_QuxufOYQVZUABLbHyUwVaQ4F1srWUEC5G5U1m3Dg4suinp6ncxPCsuOdbaRAEzddpUXLg4Nmx5VPq1J5NtuVPqU7gQDaQEs6VLWQIA-V56JsdpOdK5euk2GDr5tKs2FmrUnNx9ltmxQ2bE2xZKkSBvbPKxmtDoLXGdzKuM0-iB5SrBDoFj91YmUrnfdTFFtUjASIrSdN9wkQxeQYmQtAyQL_AMoKh852wgbSbbIOYb2gDZBSLbeyAaBqjBCAtlx7jbZA2rYZQOx9rj_dBrpNsJNhdbSi53IgLKDqEA5KVpMHumRAOEgYg382VZANAIIEnknCCoZBm3zdT6G04MxComWxe0oC1_p3i4U-gl4yQCqFAuA66DoJmLRypgQgFxEXTBelZmYC7Txn6fVqkTYKxp3qaItE7-FazhHfXYzITWbM8UYSPaNlfWVNQJIhAx51QRlW0PT7r2MneyCzWbxI8IG0hosJ_lFOWkkm4-FYhDINsJ9CF0T_AHRUqhvEwsX9NcWck4_hc7K2UPAMn8qC4qTN7-y60MXG83-FqJZqlKpNt1cTF24WWC1XGwAkohGl2rZBSx8KhwNDo-EFQ7TJgRELQJMRcmdkc8247Iwjo4Et4RTNteboibskz3I1HOsNW6zUoMAgk5UBJBvwrSkIhpJOVEIzffyUFPoAwZQK-pa6BB34WRYNAHhaDAwYQUpiStrpyY3zlGiAEXjPlAXCTKJQpnTj8Ihi4uN1ZWKowH7KE6FuLBGiuJIMWRr4UnUpWTsFsLUOQgSZBE-UxIXVDolRsScqxnQNgZ2SgE6yAZG6ijqi0gLc6Oi6yInuWaY5pBMqLBgRuikJG0rLIGeEWHbTlszC0C0FrcqxDHtJvC0sCTkiR4RK4XOIRDfQDCn1zqjSA3K1EF0WBvKU9dOCqGALjJdHkoHBEZCo63IQdOr22uroVwIMqAF4JvupA0i-wQLpkCBKlWEdYmJVQcw4bIKzEAFBMkg8qUOy44VgfzKDgJt_BQUF9oQcbWOBugBIGTdAgMm-UgdsEYQc5t8_YIF4krLRi4wtMi11vdAS-LRhSjtR4UH8mQ5rRBbcL63x83h6nUBgbIk7jhNPGdznOcS4y6bTsFGpVGAzAnElVrpZjtIBAGobIKvJa7YwRlMYtGk6ASbFXJjK5qOYAL-_CY1LqtGoTUdeQCN7AcrFV63T1g3gQP8AyFEb6HUuJdGJ3UK9voyxmkuPc7ZTWi_qVMteS2XDIIQeN1DjZ2kEDIm4WD1J9Q03l8FpJBjhZyh2V3VXG4AzBC3qtXRVWMqktIc2YtZUem3rbtbDRaAWGFUryf1zqWdJ0-tlQt0kuAjJ91ytxeL_ACr9e_UT1tcPqO-qwGFyrq8vo-obScXBtwLmIU0e70_XGqwASZGFvRduqoA3ALrk7IN_Ru9NpvpbMTGVYNzXFj9bWmBwtWdDcyvLA4Hu_cOEzsVbVc0kNJHutYLOeCBqcbXyETTN6sVA1pcOZjK1F2E6sP8A8NYAyImfKYbL4-V_U6OmXg74WOUweYWQ4ucZ4K5pEKldr2kTecwjeomo5xAjUJRGpgBYAQM7rOET9YCvH7eBwq1am_qw1wIDTOG8KsL0K0y93bHHPKsmpbi9PqAS0BwcYv7rchLK1F5Y0ahJNg0rpFQ6yq19I0i2G_UBnCY5bbXg9bTeaf8A7ZDeCchc_wAdddyMVeuWMIbZpM6Tey53ji_HldY6lVLTp0VTgjC51GTTed-CudkVdjgwSPq4G6knbfnZmPNV51EYWqxbrb05FMiCXeYWoPf6GqQ5rQ4n2Wh9t-j9USwtcBIEDwty6j1A8Oc3SA45vsrSi7TrbrMQDtlTVbOle1gmNTTi6eo2ua54loE7XyridOY4ubdoBmCCmqu3SxgM6nACNwU9SKB4L4bGLgYWMaUc8UzIaJgfdRr8jekH0yJInbyhsI1rdJ1R7Tg8ITpbpenNZwY4Mlwj2CY68br0ejrf4YkuZLsATb3WL02wdZV_xYAbTOtwh17-xXl5dtRu6Lo2UYAguDQXEFTGx6oubVD2gR_pH7jK8tzXWKMe5zHNcJJnCxY3C0A71YDocSsWNrOYGkuMxhYsSkPa4kwWYngqAF1pBBHIGVorVRa54BBvFgVz1cbA3Q1rsDC0FqDWzSbeSuW0efVHpOdBkzkrc7Eg8knsvudwqKF7bASZzIU0YOoeKb7x5UEATUqGW6gBtlanSaoNLRAMkXxhbEH6nknuucHBWFXYCB9IAxJKmB2uMEAAEWmcpgIqa3NbJY3zutS4kbaWo0h3W_5XeTSo9SGkwR3xYrHJnWZrtPc02HhcWwk1XxA08K0K5o09s8RErnbqxB02IJt-1ZiK0x3GWyBzsFdFoBbgm-2UwS9PNwAmNHPYIEYnhalSle8mwbhaiOEPAa7czJKxdFNIDZaLTAWaEedeomQQPulbn6Bjj6YJEcxlQ3tqpmWwOFprRbLXATED7pfBUkOABBypTwtTtkC5B_8AAkS1B7-6NN-SbrpO2dNr0GXAcROFoq_Tu1Dtz4srDi1MrFpdsTiFptVjtVz2_wB1vKk9aaTdLb3A_wBSK4uAA3vKiYtTMARB3xuk6S9NtKpLS2fldZWGh0Fl-bBVsktDh-6cSs1YZxDYM4mQuVUhqAsHaTByVzrt8IHAEk3KwK6wWOm0jBV2jFGpx2EbLFoXUAWgxA53WVwQ8mS0aQN5yit1BwLIIuRZdpehGqGh7oG25XLkINqZAGd1kOSZIwY-EAIwEU9DEzIKLFRVy2I2lEr0On0tAgyfZdIzWxtS0aoHC6y6gtPcAQIjK38DPcGsdcyLwsjP6YLtXKoqzs3ugIcW4A4TB2q0XO1srFWGbAIbvvCKsT28DIKsuM2K0ri58jZb3WFGwWOmxFxujUZq7IH91zajLUEEOjt8hcuTRadmDaVlqQC4O_up62sxmkAi444U8GoO1wDAPAVFmH0xzxdWpqVWodQcbC_up9Zl2um8CQCp9bUBDRefuqFDgMCUFGMMyIC68XOudTidMwc-6cmUCIMHIzJXIRqwDYY5Wb63O-ga8gQTKq-gST3Hm6530w7CHtBI1RtKLhpcARupeqkGNDwXkSVWhcTo0txOR_daoamDa0nwsyTQfUaMmTMRlXMCGsImLzccJYGaJgyDOANlqDTRlg-k34XWM2U4dpfAEgYKlYnqdWodXHysuiWgaZmBKzdKBcARc-6zv7JMK2S4fuClxWpr9JAAjwm6HpCAJv7K24LgCYBBOVqcg2rtNrjnKYmHaBJNyBwFpP6VadLwDg3tshi7DA7gAOQt8azV6L5dn7rqy003aWkmBIylDudFzBEWU3YkiLzqwDMLzWNQumIJhYjq7UOL5IVoai7UB-0C4KW9oudN7342WnPSXYTFxmyzmNQ-r6eDkrTH0zpnJJ_hZsWF0kZvCR0pQZO4IVYPnuMKJjh2kCY8qNHa4yIAH-3KouIIuFUoGppAm8oyoKkgCU3vA7MYVVQnAtfcIaUuIMn4KI4vi4iVKGEzdsqQWbpnzyqLsfAgCRzK38Si5_ZJN-FlCXk5B8LbpI4QD_uoVUuiL_ZZjFM0fm8ha1k1mmfyiuIvygm58GCFm1fgnUSb2ICs8ZdpA3-E1RY6b87p9DQXZvwtAAb3ViVRwaAFvxJaXfcprR2PAgXvlXAhdq_dYrO6KMdFhN1uOV0WTJEXjCdoLnyP7KHZqLyQGmwRWui4Cy3EOWizhB9lpTMfaRN0Kk-paxWahS6L7nMJFZqzpdbbdc-TXFMPyCL7LMbEt4MFEGYJJMgLWmL03Cpc5VlZvRm2dN10-JqpeC2_4WWTMcDCaOOhsAHfZX1TASNsqhjjEnmUxAaSbFVKrqAaAZQnQCppxdGhcZ9lEDBEm60kroBAkqNCYj2ws1C0zOccFJ2OccqaJuN41H2QMwXuIQE3Ld0CFkWcYQFjNOLhBUGMm0YVHST4hQUa77xZbXHCDeYG4Rp0gW8IKRPsiUuHGBKJ64Amx3V1mw7Xab7LWRfDCbiCR5KzQYAi6iiWt2uFUcLCONlo5Fkex3RlzrGTlc3SDlskKoQzHPuiwpbrVjny8ECB7LTMMCIJWa6EJ0QoptWqUWBYEQUVwjJj5UxKYSfZEcTAMkH4VROXEycLUqnDtOQfhbTRaQPZZoMlxgIxfTAQDKJhjMhX4hmESkX4LnTYLaOawBUEmDErOA3DZj7qBXmyDgw3koCLGUABO_ag7_yUBaA43-yA6ZMzdAv0hAQ7U0XQMwkWKkWqsBIutIaYA2W7xapS4yZFlislJkycBSrAkO91lXayPhEo6icmFpHCXZIWVNbIVhHC9xhVBHc4lZD6StMv5HtfqF3SV9Tr591SqS0tOolGLdPQJA2DgYIduoNFhGotk8WXSBqpaMHQ4Gw5UHUXerGq-kY3VnYrXqw8tiRwITyjhDDBcSTgLQ0Uo0zfVN4C5WDaypi5En3UWPT6SsWhupwIlX4le30r_UgBwJB3Kw1vTT1s-iXaQA0fVK01rxQxz5kQPf8AKxiTwtaSGgu1RuQlq6g0hhaSTqdsBvKzmjd0jDIAjuNjCsTW0dM5moyYFp4S9o-U_WK1dpqf4i_TsNneVjlHSP8AOP1Kq6rUpkshhxAXKuiDnNYCNUN55UVr_TqhY4QPklIPUq9S70221GNltI39FV7YJ-SVqDe6s6kDBBAAnldBZlZoHaTc9y0NbapEhriSjPKmp1Zbaxwd1HOdmZUDZlxnFgqYuaoLdJx5UxPHifq1RupuiIi6cp03x5a-d6nqPRbhoJ_aVwdHnvrCo8EHSM23QWdVZSDXtnF5Q0raz21BpyRJ-6JpyTruO7cjZMXXei2qe0RpyDiVZC9-NLKBbTl0AC5aBsuk4skaXUjd067greObV0_UBzhruR5QnL4BDXa3argx7IT3srOipmk41TqJsJP5hHXp81-rdH_hm1DTPq2_C5ch8x1NQA_TAAAJ4Xl5VdSFeWgAXOCsT0b-mq20usDgjK31qrFoY7SILjtuqjRSqhrwHyDYHwtQe5-lt1mQ6BG-6o-w_T62kAExhano96m8lrNMOMZPC6WdhzV7i6CNr7LNHUTpcC0awBYpPS9PR6OuS4iw02ubLpZ0xrWYDryBMXXPGzUj6ZbsALEGASp5Up9bWvkG2_laxNIww8gvDouT_YLGNNbKoJkXmSTJHwn1qG1NLXBrR3XxhZVs6dtONQdBiJiVfjrOmmhRB6c6O9xEN1Gx8rlyXWXpuhqUqr9TJptbIfqtPC89jq9Xp3ve1r3Na3SYINrZCzy6GSu_1KjnuAh95C8vLNd540dKwOaTlwGGrGVZVKvTspgPbIdvAWW4XX2nVEZg7LNjSNVrXQ3Vq4OJWPqDToxTDZNvKarRSdoAESJvJUG0ulviQQDgIpHuD2v1WBOyyjJXpHUTYgHjCnlEHNOppFj43WvRzu0Tq7gJPlTB5vU1ATew5VkTUhUInS0sI3C0h2v1Au3x7rTRmnAIvsCs1KamJdBgQT28KLQeDIJd26kCVah1iBIMwpqfW39OJcAHYwF148lVqtgXEmSBN0oyuDmEAgwc2WaOGinkdxxO65y7RMtdBJmP9IOVbFiJo3kWA2WZ1CqMuzS65PKdVGmkGxYmeApaoOiTImSMBY01CqwF5AMDYrf9mkDu7Tj3K0gh0OE2CuimsMIAFp2T0AjW0EHfK5rN-AQXEFs3Rr8b9WptMkGxhWNKmQwSNQ3KoemRpdyTuspfAqAEx4RzRLSZAgGNxZWCcExJH8rpBalUIAEScSEXuNlCrqkYI8LcXf20U6rXMsYPsuqdKitbSTqIUzWp3TgjTmPKjS9E4AdYmeEkc62UhpaCI_2W5E_1dr5GCdlvVlBztZOkADxssVuXRYA4b2K5VuOe0gEmxWK6JSBkwMyQsFigBLQS3UCnYzVSWWiBk-Fz5TtYiXh0QYAGOFlQJ1ETsNko39M_UwNNwBEFduPiu6qjBlotFpKxyRkDYfb7BYF2O3jYKUB8FxMeSIwtNaFMzqOAMWhTxnxYMbTGp0AkSSdk1rOmug4_VJaPC3KxWynOoQS73W0awYuBJK6QIYA-oEnZXAQMtAEnFt00I-wifhAA7TDSwX3QFxm_BhZoZoDO5pE8FRqGpv1t58qVKq0y3MgbBXixi7MEavay6KlWHfMGf5XPW4gQSDqAAAmOFz5Kg_TdkiJ3K510ibCbQBm0brPibGmm6wGeRuterP6aKcat5yiqeqDAIgDzlbYTe4E6hcLBAmCe63O6mNYNOrraCZF1T1VhBdlWMm1aXGcbLUuJYoajnNjjkrc7ZSrEEgxA9rrNgymXOMz7Hlca6QQHEE7zgK60m49_HNli4lMyJmbHws2JFDEm591WgAacEO8qglpAJAAA8qAgnTEkXGFYGc0mYyMpog_si5klJNGnp5J0mBvAC3E1oksIv2nYbrcLaBJcbAXtAOFWIU3dMeFh0BwcBH7NoWM_aWaiBMAuwLQqnhw7AuPhY6WXThwa7cDyg0UjpOUWr6pIhQB8svudldFaTi62mbLcvbPlVpm9xB2C1YbqofIAEKzpLGgCLRbldpWF6bi0XGdlQ-q87YUAJBN4FrLzX1pOoC225ws5rZNJ8kc4UnSrU2kZgz5U0UECTkeVr1iuc4ttFz5VYEWtsqFcYmIg_hRrz0W3eB74Knha5xvwrCKQKgnAhSrYUOm2xCsZqrLGPsqisjmfZFCznE7AbhQUaLDbyiKiNiDCBpaLiD4RPrnPAi9-IVUpM-RuoKMMtvYhPEqrWyRsTuURUdrbi-y2C2SPlZaPEcA8ytNFI1OAEzP3WdTTtE5t5KIeYtEDlZlHNkSJkcLcZqkaZOCRsrvwSfd05gbLNV1MWJ44WogPJJ3I2ss1YDTE72SFWBJbK2ggzPvZaHPeL8qbRxE2nuUCCRmfdXQRi1mzYqeUUaQLR8rQs4w2R2n-66pLrPqvORuVyUWvgTMgJuI00n7x4ytyuda2nS0YjwukR3qBuFWkqkG5UsZQe8iSbErFWesznaiZyudrphwAecLMALvHwtK4O0-EFWPtDbA_KsRra2NxK6OYQQIRBAgTsmAHNuZRVA8EQbb-6Dp1eyuodrzn4V-pZo_XtIWvjIloaJ2UdJ66neUZ-qEGJ2G6qplwIubrA5QPEETCBb3v9kBLb-CqA4RAU0MAbbwEHC6BIMGMe6BwTgCPKegCdRub48JOhQkCDwr_AKrgYHjnhAG_cclNFmvkK6gKq50jAKLABOnlXUx031H2ypTDnB2QgB9hwjWHDw8zN-FrWLHECZm6mphAScmVGnaxjIQwbRJNkNdMQiOJMyRAVrBXmBmyjrCka4lRcUiTZGPCfuMgfCrZp-6JT67CVv4yRx1zkjiyzgUktME2yp9WiHTggAeVpDaZ_wB1k3HNN8rUc6uBIuLKrCl3NwfC1ErmapvjwpiKWA4K0A6S43gJvwEARN1dDlwIjZQJrDrLOmO1RYiSoC48ALQXUdUQgJNxIhBwiEBa8ZyAgDhMESU_wFoAtN0DtPygtSMyqFc4B1ldAkTiVkITq4EJVgsb4usxa4zFzdaxl0h32QLJhT6HaQRcwFUFo_04UpB1EE4UVQOdC6QfyKaSYAjSTvuvpnzRs9u5OAcqzs6UpOgCWwZ-s5VnQ1U3CpG2n8redJqfUuLgSwAA88rOKjRrOovIAJqDk2WJexoqVXOLnvbY3MK6iwcSYBxutxVqT_8AM7Xar2VzUbaTyHHVAPErn4u9N1GqcwGgZUSvY6AnQ46gZOQMJJfiR6QrB8B8Gm0WGwPJWvxa_Jk6pvqvBDYcMgbLPKdm36y9RRqNgYIH4XOukrNLS7VJ9QYAU7npXpdFGkmJnAJVjL0XNc5jZm7YcfK0vx8J_V1P0641F4acgmy58iXHw_WU31GtjsabAzhca6y68l49OIkQc7Hyo3q_RVDqcbgyLot7elRqAFpNxJmCtRl6vQVBpJuT_wDFWen16jP_AGjYBpgk5K7xd6cyAZfFyZjZSvNr0enOk6iAQcxa6sVXBMASdgcLWLD6NAJkk59lMKmXud231AKZjLx-tp6ml0je-4VvbXF8n1tQueGyAW7jdcbHX8onTe31JFiOf4WMppOorBrT2gd0ey1IxbhKFYa9EF5yfPytYmtdKvToGKj-0mNJuQmLLl7etSbT6mmz0Kg1bArpxjVvXT0KPRVHtDHBsNbklduMZt1j6n9FqyNMac-Ar-LlWKpSq0m_QNWJ8LP44gOfpYSCCAMbLGFu1gf1D21JDhcCSN1K1Hn_AKw97adnS3Bkrny8b43t8rXE1HH_AFWXl5NoseXkBuwydlyaWpVyXt3MW9lR6nSv9QXjyd4XWDU2nDe2YJ3Wh736NTB6eI3gqwfRdOS3TEDTgla4wfQdNVPpAm9skZXTl6LVKjm6iZDYyNlP9ShSrgNDdJxIJVnGTtmtVB15ALZvC1rDcxzwA7VJN4KlyrKuwsc1odA7ZlYytaIJaWiJHBytRjwja0AECSLErPJvje2miSy0tttOFydZe2lz-wlwJMWIWrxxrGjpDDodqve2FldelQImANOnfI-yzY1K576dOqQ6XuN42XB2jXU6gs6d73AFoaSGtbfhc-avL9d3Uvimbx7RyvJY6R6lCmRQ1d1_2xc2Uy63FWA1CQ5xjYGwJStRm6hpAmNRiJXB0IzTSI1tMDYXWWVKTg8gjta7ci5-Ew8Vp09DjABHJys1ppLnFukREYCoHqBxEiAMnlYglUIDnEmB_CozEBzpb9J44Vgh1LTTYYOo5MGPhUebVAF4JkCQcJlTEiYsLybxshigb_l4JvMg2RPBBjVcQceFdVakAQA3MRzKiI13uNQEYGVLPqxzqYLA8usRMJp9NS6nRUaGnG43VlV6tSAwYJiZK6bsGOoZd32NlmhHAMwRE7rOBNZE3l4OFjYIYhpu511c-g0HktcDM8kYupo1h5IOPjKm4iZdqzIK51pMwCZBELpNxArQ68GdnJN-rJoU2dk5g7raHDQwTsZk5WdwLZgkRpss_wCrLlNqBJi26V1qjHG073SVhYnU084T1oWkOs6dPhGbRJaTYzdGE3klxk2FytxU9sfdaQ1LtcAA2ZEgla6Fm1S2RgH5Wo029PAFonzutw7a4_cLEDbZXxJT026mkmP7hT7rqZj9xid1rGb02UXEkTkE22Uc2nUWMsRIxZawK04IsJzClWNIhul1jzZcq6yodQ6TcnVwsV0iAaTmSPJXNtfpa1yHOkcrfG_A9dn1i3gq8pGY86rRDKjtRg2AELjY0SD3cALI09FUAdDjIBsVvjcGnq3kUyCJvYq2dM_WNpJAMgT5XLd6aMH_AE37hYQimlsySNXKGiTpZJbHzlFWB1abACN0XirRJmS2BGRupPUrZ07zuCCRZdZWM1spPntcAbcrpKmHa0uHcAAPhbCHOzfZM2IV7odqHdbdLciixwLS2IOL5Tb8HemZgk4UkBDAAZtv5UvbUCmILjJ8E7KVK10naNr8pEVkwTj2_K6CVe7iW9oXKxYyvl0QB97hc_Gp6lVYNcm5zG6y3nZSAdOmIWEqjJAkNg4k5Tf0k5Z01UoGDLvKsWHOMXOYC38Sy6nB1Az9rSstwz2nTB7fdZUJkwDCsrMNqBMtm2ZVXDteXFsgE7BVLV3EgWDZyV0jFQe5rnYv7rVQlsCZK4104uJbF9t1Gki0uAxnlc76CwCScEFKGe02OfZAQw6Z2PCbo7tIBkEcFZ8DTBsPeNlrBz67tJgEjCYIhoe02Mp3PBppuhnNsA3XSDQ0km53QM-4GDE4yt4zf6RFQGwt7rGYsBwLiBB9lKFcCZ2Cx4f6VuDYrPingaydxyrtxNXpuAzYHcJ4NDdjNgnSmkE5lLAKc6xpmMZwrxZsa2UwSIkeV2-MeKANLhEy3JKi7sXabNm7ZXWMqSSLWHhatFaNwcGeVi2hahII2XKtQhdJByBzssf46DOY33QMHAm1gdlMxPFQ4NyBP8q-Me10QMC3KvsMoiCYhZ2ENAlSetVxhtsey2zO6EjGDgTuo1XAmCSb8KMWmYQ0EWEbq7hJpmv1Og2BvAT-zFmuHx5TQWPsRAnjhC_szTqeqig7TYdqBz9ILTCBX7m3wUAm5jAUDklrhGUiNAeXCRcqrh2u1AzlWJRYQAQstHaQ6PGy1DT6SASYlMZ0ASHQTHhS9KM6pM4Qqgs2JyLIyV7haChHE9s8lGnazTt8omEe6cHKA03XktJ8KzVqkAYEz5XRkQy-0pAzwHN078q1YRoItErHxDOk2Bvwp4FbMiwzvdWCplp2XVmnBBbElWuZcT27ZK5euxCSLzZQXoOBMXOlb4xzrW4nSNl3iQridMrUwDIu2_lYtJN6Qq92B7ey510kxB0NN1zu-qZhJdfCsSg2xO9zlOXVUuqTcxdTRejC1Bp1Tm_ldN0MHW5RyrrDdOkAi3nyn0dpJiSAtUdkW4UD6iGj-ysFRUBbO6oDpJFkDRBF58IAX6iRgqUA9otzeVnMCa5eZwovxdpxIm6qDm0E7WVBzA8wl_sKbwVM_Q5x7ZuJGyDjzM2ugRh2IneyCjiAcZWgzGagCqGcA0ERKlCTpPHhTQNdrG6gLHEHEoHLjzC1GoLO4XvdVKo0CYP3QTBkjws1aeTI4ha7SGB1DwUaLtERH4Qcy0k3siYL8g-LhCJyAbzHhFdqLsRp2lEqrPqx98KxkahIib-y0JkLNUBE_GFFlLql4I-yKc2MwJTcBY3tJnKbrNNMHNvCsqFLCQTEKhC3bBWQtN0OhwHvCsq_DPcSc2C1e2Koz6ZhZ-s4rriCFpBmPcqjhbNgFc0M4kKTocD3b4VAOdxKuaCP_CsL0AN3fys0oa5MzC1EGbm5M_laP7dtjCkuL64AOnT233V3UFrdOboAGxcWlTQwcQlUBIIJMpKigE3lNXFKT-CrEFw8oFcL5lApscJQwOw2Qc4kC-VRNok8KByLEcIOgZGOSg7XAJab8IHaJItdP7FtWm2lB_IPBBM_7r6h80f6H27XZEnZbZlPp9SHWaJiPPKmtfFqbniNQkBIDWrGdL7tO26ngjpBOoDUdtKgqw297eQtRcaabiTpBmPK38RppMbMgXPC530bKEuAhocA0gJ4PS6YBjW5O8HCeo9HpHFp7SI4VzR6VOHsDojwFqTBRlMOEMab3JcVmtQtekH0Q42LbuHJK5tx5L6Gh8ugTcQpStNCoKIY_fVYqsvS6aoS1zdQAcCSUw7eD_V_6Y7rafqCCWYA3UsWY-C6npiHOa4C2RwvPZvTrI8X9V6cCkajC0RkHdZ8a3HlUepkSNIG4Vg9fo6pDWtdGnYrTG949Xp34YCSdVjwjb0umc5zQSfc_wALe6NbHSLgS3J3WnO8V2P9P6pOrIJWox8WZXbpENa4gwJFltGmh1AnSSbkgSL_AAhpKzmsDWyJ42KhrxP1J7RTeWB0usXFWta-XrUNRuYIzKxamsdRz2OM5nJ3WemojUDniXkaTtupq2b4DGOpASCCJuNwndY8RqV2vIkHTuRsVUaum6v0RSqQ5ukEmMm6sLc6fWfo_wCseowyYaLycrtL-y8npu6qYqHuZkNXdj_WZ9T_ABAlkAGxBGFM_bLyf1HptAhrHX-k6crneLWvFe2HhzW6WRGd-VzV4363XFS0zpC50fNuLrAmQb9q8vN241IPIOmwJGSuORpaQNNzjIRdbOlqa3tAJLibrrNV7nTlpaA04F5Wux9N-miembTDb5I5WoPU6eo5lgRG7TkJ4Pa6CudBN3RgLtaNIDnguY7OeQkmpb0IeHPJuXAbYlXXLZfWmg9rokkGLcJiY3scHPLQZnkLS-KNYRBMGOTYIaL6gMkGBxuVzqHYZbrMAm11zxZ-2qk1uiYb5I5WHeVXVrcG_SMahc-ysdFaNRwIDiGuaIuLfKjLf0jouYJJ5hZrcaKemR6ploxC4WfXSG_UuobBa1x0G172i65W66MnQdMx9QRem2AALSVzdJX0NACgyC8amizBz7rFalQZUDCTBk59lzsaLWPq0wMEzDVysaZqrAKlpFgSNljptai6ScwL3WUxd1W47ZPjCmK6mS5x02M3AOE_pdA1C0kXdH-nCk6QtR2ttr-FYtZKRIeSJaALBXER6up6lnEkhBgrEB0_T45RlnLpNjo8q2a0oXkW8YxKgq0-pENg4KdgVKgJIBLDixV6HPbLJggi0ErOiYdraWjBwkmXQtKWumYi0LQ-i6Utq0Kcdpxdds3j2lQ6noIEtvM3WbxvxI8-tTIfEEwIsuNaI12kEjJysqi6xgm5ur_SBTqFj4ABj_UpOoNzSckzImBss6spHE6JF_ZTEnpNYiCT_ZVtEvsTpJUvbNNScWsBk5JwtYijmw85M3UWEeZcAW2CmdgA6gCBj9xVtFWDskmTws5vZFC4gbjxCsa-CTLQMQlYAPJbJgH-VVgvJDbAO3W-IV0QAcALUQWNIxZp5XVZWgEM8xhIX1ppEahIMrWI9BsEW2Gk_wArf9giNNhMfhSWNz3TtEkRIYRGFNarQ14DomYvb-6uftyag4OxIthaHP7WGTCzVitIktHHJCxXRKsBqkG4zC5co6TxJwlwJMFc29Ck5wfMRbhZRqbWGjtJjay7xGPqjpJtLjmy5U1mtIEXOSubcqrRMX7gYC6Qq7HetT0kl2VnemUQ4jkjYLnY0ZssIEDV7rQAeQTBnchQxVlT1JM3RpWjpIM43lK3JGmlAFy4XskjNmtNHtdBJjeOV0kYXYYAI7TP3XSQWDyQ2Tpvhbl-Muc3Eh0HlWpSHUbRbws0cGiIud0iqNcWmQDBWqOfUL2xBmZhc2okyXOIbcm9lOxtoEFthHnhamsrhhN98WWxOo6AYH_0uYyVBedzYeSsVZUHdpgnTxKxXWOAJ0iBzzKza0oO5scHlTtM3szCREGIsZVLWsQJJkDlGfU5D3DME5RYDyMNkD8lTFtxxAa0ht77ndPEnotOoE2BG0KqfV3CMebqudVBA9wukZ-g6npOoHP3VUgmTdvjlc7HTik-CSNws1oriJMgwOCudDgDgpgaQJIFgMHZWwI98AHMj6QMKYEbUIJkAe6mJ9VAcAZIELfqkde5EqW9o5pDXX4WpTTagHAi04KqtFNztI_aQcKinqHV3fSTlXAr4AM3uoFuZIkCFESqVLXNjZSnjmODQC2Y5WLNS3tdgn9wMWus1pcDS0AWAUDNedM77LXnQYuEXMk8ICHAwYFjblWVmt9Co2s2LzuF0nbFNAYQQL8LaK0bEbRfKsvfYsJuON4W7NDsJbgeFPOhzgZgxZc61EnEgm_3XKx0cHaojG0J1BRjrmZEi1lPPA4bIxEZss0VYO0n7rcHGxIIsEcSk3gfaE1cH6pgXO6NfE2ZOSRypeo2piCfwkYoVHyTALRK01PFGNvP5RnksHEzGQLeyjDjNpOykD0jAsb4WhRg1gm8jnCBmgBpmJQdrMbAoF1GTP2WaKMJscjyrgs0Bx-mfZXBVmb72TManF0TfYWRlRjr6SAQESrscSYkGcrrxu9IV4AMx7ALFWEMExe-VlTOecBtkTHNAgm6DpIzui6dtPS2Y7imdMpCWuGAPyosMSImStxr04dLbTyrKxVWutuFJQrwJF8qjv3SZgrUANj7qUc0gHkhSBg6SR54W9HOfImJPlPjOFaCRJhsrm04Hm99kGikTMbHhdePTnY10hqknldYg1Y2yOFWkSbGx8rNuM1J7gdrbLFujPve5WPXQ0wJJ-OFPfFA1PcLN36AwTbgzZalF6ZkgWMH7LURp0w0zjay6Rne3NMDERupTlHB8lVMAOAgQJRk5fzjg7oAXjWLW4VDl0i3KgFvJPCBgQDK1F-GcdQi88qVHMEEYvlA7yRYGytCOALmmxGVnoO1xglpke6CgIDbKq4d0TnhKVwM4sFEdYCIKsCvkHUJgKACC7gpmBhGMFXwOH2hWNRxF5wcJSlgzJH5WWQiDKvsBAAPxCfAdUk7IKNEiSPpwtAySEWTC3nZGlDyRndSMwWNuQfwq0NQw0DZNCMuD_KAG55RnXAaZJEQiHAuRgJ9HAgujKuASXGcStMgSWZMrDZHOniEWOpjBCKcuERHhRKAIAuIEcohpmypqboAMIF1FxaAiASDFvhFO1t5B90Y_FUEOZAvKuJ-OCQW-8qpRJc2VQZJzZNRwdA_2TVxRr4GbncrWo6ST3GUHOcdrAcqUhNWpx4CxfGqGoFxwtHwdfaJP_CaCHgE_wAolFpv7rRqhvi54WSgCDIHyiOHcG-CjQhtyTdbZPEtUkVSmNAvl1wkiOc66tgRwhQdFsfKDmtIMDdTxTOdExurqEB8XSrHCH4GbLOrRdYCASE1HCFdMNqhWUVbVtt8q6j-Q7C4OgiwxbC-nfNCajXNbJ3_AHK1jcLSqDVN9G0FTS8l6XUGXAnP7owq1E62o3AAHIWapqbNN4lUaWBrmuAsOCukKv07oBJAaVdG6mGiDIJcMxlU8aOnnURAadr5XIa6dRxpMDiCY3t8IPR6apoY3IO4WpOx6VCpjAPgK3w3G1mqmNIHyFjGtMBoZLrYvysNR5fWDVWl8ROcIoin9QDd_eyiVqotgQ6YiRAXRncN17XvoOFNrgS2BOLqJ-T_AD_9U_TDRdUJAuuN4t8bvT5P9apEU3MI2kQuNdny4aBUcBY8-fCQe10NeB3ukgZK0j16NSA43cMCUV6XQVxAbcHIlWTR6lJzZkw4AXC9GM8jPeHsDYLZNlXKlbU0A4A87lBqo1Q9zWkucdyU1LFfSBBuHCPslI87r6PqU4LjIOYsVPg-c6lpYdBNvxKxRgrtNQOAbDm4cki2sunU7SQRI-pSxZyzpGrSL64GpzBEEvEBGR_wBayfUmDYDhC9Fr0ndO1uppmLkZVkYva36dXNPqHE63XgbhdIR9H0fVesSHkFwIsF0_JVOm_VKf8AiX03sJY4kW2WvyZx6gbroB0B4FiIWljyf1P9L_y3vLI8lcbFfG_rlH_DyGtiBeBlc-U6R8nUfdzZgcndeTlHXjcTIJLnidQNieFyzHQ9N2kETJmZSjb-n1AK0m0BXgPY6DqW0-o0EQ0mQuiyvqeheGloJJk5RXq03TUa4ADid1YPV6F5g694EFdIPTpU2hhdxzkLWxLNA03MAmTcRAS2XxysWo0nRq1bTEYWvjL0KDhJdeTwtNRXUC0AHbJWauacUQ6ZNvCxq_ik4nN3NkQE-I205aA0QDycLi6TxU1XQJMf_Eo3OXxeg4SBAInJH5RWj_EjGjeJGFi3GuNamO0am1DNMiYXHl106zsC5tQS1wETIwuN9dD9J1bIFPDg7USBEBTIv17fSxXpMe586JPY3lZanqb9JLy1rjpIAvC485-nVn9R1GS4C7ZJIt_9rjf7biNKqXOIMkbe6y0rABaR2zlSjU1lmgAubsVj-xzf8to03vHghJew8NeACbjJVCOHadIJO1reyl8HnsBu0NIbPCaVLqGubMm0QY4VZxjquBaTkYCIyWnVg8hayq769I344RppokMJaZDidlBzruOflZHGIDnAmbJn6QjmtEwRM8XTtSaix-pon3Ko3dJ1Rp917TAOArOVlHtdLWFalJAJPheiXYwy9b0kmWgOIvAXK8Vjzuqp-mIgQbk8Lm0yuIEizov7LMCEHUTGokpJ1g2NeXO7iCIspkBqQ6Lx8rOCTiLntJ9lYu4kKbjixzEJah2vAMON-CEm_A5eZFtXHKuBDeGjuI2TBxYdttlj-mpVqZ0uJaLbgqt3wwdYAkQBZSuRmuBGBKQI45xBxB3WpIsRBJIMnSbe66RFab2OON4MrVgenUk3n2XRudKs7z9eqditM31qom9zjYbKprVJI3O8pFijXucACJa288o3q922G2CFFUpHutv5Td6ZrdTlsOgg-y3WBIJN5ncosPThk_8A8olYsdS1mkzIN72yuHJ1-IfSZJM4HK5jpBNzhZBLhpEgQfK2nqdRpqWNo25UqzplcJMbThZzsUkh8gW2RV6Dzf7XNlYhKoa187jc_wBlmxpH1SBFpB33WRZj9Y5PhUUYCXix08LP1VqZAPdmYF0dWhrha2DCT1i8mui1ppRq7Z2ML0RhVzWtGbbJZ9DUnuMNFvC6YyuG2yPErbNBzBqElxnZZs1YVkkEDA5STFNUzJNwm7AHntkRblc2onTABMg33GymFbWOaGiLA7DcrUZXYC65VoWsXACdysUYawBtaYnwstM9WzjIknhcq6Q7Bi-neCs2l7UEAiTc7Bai_wCO7mv3xmFIzL2sHbiFV-hUsQJ94RojxEkXhS0cKlyDxmcK6KBzS0WMnlGbcGn3NMkTPwpfXOtjQQ6Y7vC6zwK4uc68QM2utBXC8ArNVBxMDb-651udpgGQf2-QsL9Xpw603m4TVdUF8yeECkWAxPKvwICJIBk4ss9odzu0EC44XSeNfEy8tJMnMrnUFrmE3n2KvGDnAFsAdsWWqNFF5c2ALRhUO5sOj6SbLUSnNObEARsqaSo4BtiR4WFZTczsblKn1ame0wLSLLlb8U7H6WuAsZxysirXDuO-J5UFMNGn8bK4BDnGI08k7q9jRp7Rb7bqyfRp6aLxJC6cfWK1bjaeV2sYUb2kXEk5Ugdk4_dytXoOwEEmZHstGiXk-y481nabmgjySuPc9dSm4kASDdJBRsgiTKtFW9wEZSBi42JIF_uqx7XE6QRziFNOJGATOT7pGwD9MDfhVNMIgyM8bLNTXSHGOcKxM0xBI5O6Q_owJgAj4UhYu36ZEgzFlWBYHPxsclPTIaTqORfdBemCWgSSqHAaPfygmWkTFt0BLQ1kxlAzRMECfZFWaIgCYPhBWRhEEPsQBMIGpkTxPCsFG4tPKqU5aDeFqoRrQJtCzjQAwbFZFIBxfhACe4RErUFPLk1mp6SC4jjCy1A0m20qw1UU4AvsunrJqY07XVkSudmf5WbOwdIjOFv_AFWdx7iJ9lz5BZINjKkDNqatwr2HaQTcq94BMiAPwshtpJFkRSmRjI8FdOLPJqpvIkLtGBc4mXEyDa4VahZBBIEXhYqVKo7TjtvzlKIjvMnJ3XF1B5bAkxNlQgbFokrAowabWPurBencbLcStGuRzZb-Of1xkCJhItuiBDb38qpIXU1xmDKkLMAmPuqjmklx2PupocOERN1QadmXO6Ck23KoUuII8IGY-J_2UDvsDyronOqxUX4emAcoihcIA2lB20lNBJHt5QMbkThAhsRi3OUA25ugZouO6PCB2TrMXKsBcdQzA4WmwDTaQgBkLDDiYBIsEHB0ZMILNNoWoFPsqs7HcSpPWlh9NgqzEg4j_wCKNDH22UrOlm5HKkR0AX_utBm1AUALsosc1hvFwVYtO1sKsfS1B7knJUbiJMWtCimkkQBq8BTUp4gScIyUxsq1DGNNh7IVJxMwZF90ZdOknHymrSjIRDtIBkrNFgRBWpSgX4WmTzqCqaUQCZNoQERIv3copwbWlGDNM5N1YOeC5uJ8pTU5JwIUb0Iki0cLBYOPCM5RguiD5wtrmGDuTK0yoT22H4Ui0A2YhTxehIhNVRjbKxmiJwVpFM_7qAEIA0EOthB1Mi4P3Qc5xaQECGT-74RdAAasbYUwjjAEgQFF0PVkg7BRKLja2NlSObYzurCmglVH8jTIBcCS6BnZfUPmmdxc-xAacgI51RjRBaDqNvdEWDSJ0ugjcZPhV0hX6ngySSRgDCzVXpvEAPm2ZWpA0l06RBaTcXWkxr6d3piCQZyHKzFXp6i7Lg3AACQb2PGkzAdCX-xSm5usEybZGQsdDf09c1QGjtLrgHPumfR61OqGU7SDYGcQng2UOoe4GHBoBNpsnSyr-o4tAYO0Gyyus3WBkHt86jsol_plDHABw1BpuTx_wiTfp2VhIDtUEWMx9lubq260tqhzI_8A4n-km3yryTenzf6tQFSNZB_cZHCy3xfLfrfRB1HWxsiD2heflxd3-eVQ2lUGpugybDa65DbQIc5rgZBGSrBvo1yTlwE2hao9j9OrsLWudyB3Fak1LXrtqmm4aXhwwAu8cdq9GoHOJLZ04J_j8KhnM1Hughu3CIShXJJ2Aw4IPUa_SzujU0T5RWHqqksLZLd5KSLjwOqZ6zidcAXvhTBir09AfEOJwExi1gc70ycgYnymM7jNL6-QWluZ91E3stbqNLr3iH6jgo3b02trtqtDXd8X90ZSpUhR6i8sabqyq9WjX9Nhc2A5wgHdagBmn_mOgEXt-VB6FCq6rTEODWzqAK3tG-t1RNIU6rdQdhzsLV8Hy3610VOuXCQHRgLly8HwnXdGWagBeReF5eUanTG2k4BxdMgxGy5WOkNSBaXNdE5ko0rQqBhJAhxzG6QbuhaDVa4uJEqxY-k9apThzA4NOwVV6f6Z-rku9OsQ0DDiib2-l_T-obWH1aw45IwukV61Cv2m0WN5WsF5sC4YATHO-qUZ9SRYYC05r-pERIM3jcKwb6bGvbqcYnB3Wa3xBkvqEtNhsBlc3Upbpb2uMfZat1zqtGoQe4X2Ernellw2ol5L5yLHZRqN7C0N0N7pyFVOx-l2mzgB8rnVlaNeqkBEuGLrnXo4-HotDowfAyDwuVdPunpM_wA6G5kyIwFzbe10lfV0elh7hloGylayAyixpJJku-nVMyuV_tuTGXqAahsCZIEZ91xv9NazU3GhWi7gfOFzxW4sIaHHdZorSeLDB98LONlqPLnACbi0GyeC9GHNAcTAwFAjwRP-mLLWaMEaqlhpJ3CGpdXPp6BMTl1kYeZVfo7QdQtIBlUSbM2m3_0lBaNGYJndQXpgtuSSfZFMC14MiAb2P8otc98CCC5mnc4VSDQc3W0OMQTBcMrMWlDQXXGvPwpbiQxGt2kQRtOyetNn6d1HodQA4CDmcLpxtjNj06_UsLT9J8xsu3sY3GKrTD2kk3ixGyzeMw15dVpAcGxq_wC0ZXLG5UKTjrIf9lFaKVQF0GIxC53VOXm5jwCp39CDlxm8XwrGv8I53dhpg204XTOtQKzpwRI_K5y5UVow9kiJGFRIWeQCAP2kKUOTBOkSRkpIpRXdMTvur-J_SlN3YO0BX8UOxwaYmOSsZi-CHkG4HActREnVAZkC177LcmLAbLQYi4W0XEGJF_wrF-HpkWkweAuiNjJbPO5Ktg2UnB0AiGjgrEoq3S3AOMEwtUWbLiSMAT8LNalNrFISN4SN-tVCtqDRq1GbwcBdZrF_pqpibkgQUZM4Q42gE_2WaukqyNLQQZ4N1wrtKm-W5yuddEPV0G-QdlgEG0QB8rU7DdOAXXgjkpNt_GiPVUZdI_GyX9CHqOa8SJGJWRopugBre5srUagVHN7yR2nlKIky4RdvlcxUarQL8bKCzA7UC0yRuUFQ5jYtCN_l0pRh1SB7yjDc1xjAPkLrBdrTeZAIWozuKtOmDNvK6GrGCHRAB8LYBPdAM-AsDiC3iUHBkN7jkzdAhbqcRwVmrDs0h184UVdo0mxBIsiVQVIIvPulQtUl7SZgC88rIz1IlxH3lLOmkGiXDM8ndcasNaCALrn26A7tgyA7-y6KenBlwlykclNyLAhVuOd9Rt3c8-yGkLfBPlYvVKmD6R1RDuVZVirIqmxg8fytBmGBMaYCOdaqdTWzeVqIUk6jeAVvR1QOIDgLc8LOqUkkExIGyzWuJA2BqMydlDRa5xnDUrUounUO0xzysX9KQy6xsFnEIRs0W87rc6SfswcWjkbjhVpOXEB0dyVAa7YEjeTkLKTdN3OIgy2N1e2l2bkGDBgDdVFWnU0yRyruizakDN1vi5o1nEmQ6-Uqz1HchxBJ2Gyw1bZ4DAWuA7gJ5hZ6VXU1rRpJDjY3wpkVQOmCPuFM_YtTJIMETq-6go2abBb7qQWZdhMK9i3Tkh8TAjhbjN7a9QFyJK678YsxVoECBHurGXGq4HE8eytVUPJHI3TBzogXEi4Cxy76JUHOOoEDbK5OmnDxFokY9lWhaTJNieFPotRFpLipazZp9QA2lO08I6YmbHhNag04AJRSvbDu7BwptTDSIgWtkq9sz0Ly42gFJfjZvVGkbR-VpmTBpdxJm8qF8abQAb_3Vcz0xpxb3KBmtOv-UF2O75DYjCDp1wLkoC1oIAMz7oFqHxlQBktIQXpm6ocnwJ8qBmEHETuqKtBIMC3g3RTsntOfdJ-2Dtf2w4LdugOiBF1AxOLR5Uo4MIFpB8KQdqbvAPCBi7U0kHUQr9A1YvEZ8qUcCQZ-xPCsuL8MHETFxgLX5MibOF4TVMdOnwVq3Ar3AjNlLRkqu7r7LGdgepuqAwzkA-VZcFgdU3-AtA6gcBYHatQbET4SUUbsZK3xvaVrDxp7iMhdo5mcfbOFdaIzudEAxdZZJXYZEze91CIl5FlyzHQjpMA3VUS4hoAMFYDtJLruzuFufpmtVLyQYWpD04Ol2FuUyQZtMw3dXxjrQJLgc2T43hCSXGLkfdc56lM6XTAg8LVYcAdHJKQcDo2v5VDtdJu74QPq0ZFirWq5pBkbqMna0AjKAuDp3PugRrDqMzE5lZxrelWR3RI9lqM-ngNbMyfKtCF02iB4WaKMMCHXK1Fc50N54QqQq95E32WfpBYTcnCt6buGYTY_eeFI5nbmccqijWS2SttaJHdIAhCIvlZrLmuLiOU_ocO50wJQWaZZC0oz7KeKY983GVUgzbJlGgGZmQMolK42JBBRIDDMAhFouEtIJ-EQocGu490QRkkw5GzB4aICu4yJJjZU0NUkAuUEiIeYuFn6uuFu2THhVPTmY5BRCudspWoYOkRdPiWaVwtyqn_tQM3vPhZqWiKhI4PKsTfirCTeCVWoq0wD-UKOm_PjlajAmwibc8LdSFJvOyy0YvaRtK1GHAEi0wpVhxgQFFNqLbExutMYmXCTeyy2DyPhGztM2uQpYDJxNkiUQJjfyujOYenM3WD0bE2t45TAQ0mTONlqRNMCQRcoji6TBsP5U1cOx32V8Qw5ITQC4RpmE0cYIEWQc25zlBzoBMFBGb7DypVg5BU3FpIDbEgeFjdZOJMGVYsO2wJ8rojnOIOCg_kPWqEO0zIGSF9Q-aI9xjUNRIO6OdNTqlznXICJ_wDqaW1C6YsOd1XUJ0lm5Bkg5QUabEkmXRkYQaqbdILnWdGy3JE8FzoeIAgxIWhop1nNYBpzPwp2qw1BskSED0q0EwdsJ4PR6CtpJJEkG4G6lHqUa5cWtuCRcG6cvBsoVSYIbAGQMKTwbDWkE6iL3_4WZDdSq6jqJg9sAKWCbXiHBpuBF8KQZOqf6bgYk4E4VAb1PeGzBN-3E8oO6ima0m_aBJImVSPm_wCo6Wik6oaZYBeQFz5x3lf5R-okHq3OMgFxC88a1p6SqHUhiBvuUztLcOOodSfJ1QPK3jneT2f0yqHniRvyrOke5SqH0w1uZu5dZUaqT9Lvqscnla34uw9Wu5oLWiJG6Jv0tB-juLjMXAXTDenpdPWmjO5tcXTGfyxCqJe622Dso1K8uvSEt4GYxKla1j6qmDRJEDkrNjFeRUpEg6QSQbhZRkfSNMOpEulxkgZCBHtuxobOowTGyejM5rqL2huoNm4wflb_AKYeqxraQa5wPaYBdc-6zjRH9Q-lUDgQQ5xuVr4nHztGp-oSMkkXysnem6P9Zc-ropmzsGcLS69jpetfVpOMkvBsSbEpqi-h6zSXxPjcrNI-Y_WegfTkaJ5K5co0-Zr0zQJacATcmFxrUpGjW3VGRdYb1Xp2NBBN25uit1J4BYRBaTstEe2OoJZIFsBFrmBxc10G3G6OV9fVfolf_JZqJadwtx0j6bpagqHTAkjbddq03gaXAb4Ib7KuPL1SkCNVhAxa6lRbuIF78EYUzUaaF2lpuNypZjpx7cx3-YATDYIgZXN01N9YBoXSOdUpPFQCRpm-pcb6sbKIa5hgmeRuo2s1sNmDEAG-UIoG-mDqcQA4XWWo10AQ5kW4B3WK78fGivppUrC4M2sVzsbhaL2vrU3AEF1rWXOz41r3On6cNApsJ9ZwhoG6liysPVn0uoqPvT0t0EOuPJXm5XvHT1lb1UzBif2i0Dlc7G4bpXB1VjixwibEZXLw87b6dfWRw1RqU9NgMd2rUZMKRt1R2km18SFNSuoP1GQ4hX7iqucXM7NQM3BWpB551BzyRbysJU6sFuiZgTfKvxl5vVC5j6iOExUHgtaQTIi85T4gU3Bzy5okC0FRWpzhEaouAg4PEkiN0QZ1EgmfcKLHU2Q02Jzcqxa5mprrmBEQs9EU1aQHOgyIssy9q5ry7eOPK3_g9LpialJrgA7Yzsu_Hxzsd1Tg2m5oIPK2jy36oJEi-yxY1xrKQ55vZu3JXHGzjIGHZP8Aysy0aWvBAtaVcEHkayQTF7BZlE3OlwiO4asbrUo5zrXF0wFlYtDotHCgGKtt91j-wHPI7SbTcjdWWh2PBmwI2lbBcQQ3TacwqKtGkjfyp8CumSZPxhBMfV_qJOT_AArL8WKEESczgcLbUn07A7YgE_ZFqwgwBcCy1GGuiCdJJMC0eV1Rt6d0EH6juSs2ZRoYZfeL54QWbE5vgHCLA7KgABvOeN1I1rRRu4GInnlblYa6FwL77hUVDrHIk43UoDyXQTBgcXWLNb43UKrg2YvJyV5-TrKzObz7ysY0ai4hpBIJ3UVxeA6RIKsTBcToLtxZKrJMEcjf_dQUo1T9M33gyhFKjYxJbvKlaQMzazdgVkVaRAvH8ILU3h4uY2SijSbTZ0xHKqtdCW7iScBWJWlgLtVrwujNrQHEtid1uDi_R8jK6RFWVTEA3tlUXJDjYBvsp6rmsBaCANVxJKgB7ZDRNvdQSc4tM5JP2UodtnnY5JCmNL6iGgj-EZqgcALR5CgElwMR7QoRncBJAOoYus2NJ_8A8QF1gMLFahS0E5Nll0K5pd_2ngIGpO1HS4xKTpnpoZEC_vIutpaVwyc7C6wvqYJALZJGLrFmtEeLAusNwFWZ105josASMeUVs0kg2IstM2GaA0iM5WoypBab3uTZb9ROq6HADVymAgau3LvKxVc4wSbkHnZZdIm3usQMf3WZVFwM6soJF4MgjKlQpedIn5PKtX_QBD7kW4CvxEXOOqBYKRJxPe1rK4pi7SJBjb2UVRhc4bgj9wUFKbzqMfZaia0vIAEH5hb1mxKo7u7hDjwsrIg86XWEnZGjtLjAsXKIo5ptEyNoUtDtcKbTmCsKo14A7QJQUY8z9SDQxxmDiE0UpOuMrURtDjGIIK7eMW6q10suL-61O2XAidp3CtFWQTuZ22TwEgNJN42ELlyuiD7GJyueNydFbEQXDE8qNqNHaJx4VFGOiBJBKmd6HbDnQ42TRxGotacD4hZ-h2dpj8bLehHiZkA8LKOkNbcj2hLKQLkRFnLKhosf7rYsxh1rUZvirpBCViKMsZ-yykUaC6CbRmN1RZh1Y2VDu4NlKCB25VCE4zhBzQCbH4KbgoXdv0wQrLocNtJupyDNGgiFIKUzIue0-FVOHxDON09YOHapP3lXbOhTTbKgU45CvwGXN9lmjgCQbQqDIMyYQFsOyL7KwcBqNzYYTAzQYBPKoDzgi6sSiHkz_CtMI91jOOAsmYz1Hd0cqeqTgYhUVa2b48K9DrgYj5U3BxPx4U9DtBmIkcp_QpMOFrfyunH1OXiwdGRthdcczRJAAha1o7Whjpkwg6u86CAd91msxjMb2XOukcD2zH2XNTNF8qjhZWDRRnQ6DBWoKNsZ-rlbiU0mRJgHlaM_TqjsgCFcMpGnvPPIXOeud0z36DEx5WqhWuJg4EpAxIcTkoC207KhxJaC6SoH8Rp9kwOwaXAAFAajw03RrCtEiThDpSmYB_lGRc6Rmyn0c25IjyrgZ02MZ8oIueYuIiymrO021AXjYBZvrf4qh8aRJXSeM1QG52UZHXGLoK03H787K6GORsFoReciM3ys-hQdseVBSmAROx3VnYoIJhaUCJAF7LJTCAREoOcSLi5OFpaaZxa90SFdBBiZlFL6enMpMNHVA390-lJMzO_Kl_pIZn1FTto5yDvwFpK4iJJAgqxlIXz-FVgAEkcDhSxa53aZkqJDsJ0xuUQgdptMrNUZgXvK0x-RKjiYvZZq8vEnO0nid0ZzenCxsZ9wtL-KzbjMKNKAREhItNqOZWq5USY9lYsIDJMlUOxt7WU1lRpzC3AGuuN0Dkku5sggTmbBGjNdB0jHlZXTT4iENOMgrBphg8-y6RnRpuh3-6qKht0FdPbi3KCZcM7IOAk5U-r8OGqoJFslAumAZIPiLpV0HYnFoSIE2ygUk5nKzqk0EibqxRZbOFilB3nKRIZrsCbHhaXVHNBG6MkcXTZphYtH8inluoAugGIX1r5lGo9tNxkkyLu_2V8Y0lMhhaQM3wri53rbSedMh3dtAVTcaG0gHBxEOvMmy3I1LqwbpcTMjxhXGlgTF4IMm6uM0xZAa58EcrHIjqUxJM5wkrS9OpeRMHt9ipvYpAmDkGzgl9Rv6BzWAjB3KlVuD2j9xuU3aPR6SoXAE9ogSIuVdzobWVRMNIjhwWdC1GkkmwPAV0TfUDSHAXaYDU2DH1RDw64IaQflTf0IMcNTu7G0Kasa6D5aGXk77LTLD-q9KesomlUBJJnU3DY_lc72352_y7-r_wBK_wDx4Dg9rtbiQ3eSvPZlLXznRy2WvadZKl_YvVIc4F1gckFX2j1v013-Hfeptlbia92hWYW6gdMZC1IutzajQ0E3bwujNGARa87ArXXtNPTryYkK_l-jW5tf0hAyR9QEwtMxN7j3gXO5S9qyVagDoZ9J_Kzqs1emHtEtDZEhSowPoQQ4znYQsq8-tpa9xeJ_06Sg8_qqpeWiYM6rWskGelXHqav-4zNyeFth7VKoA5kAOESQTJHssNsv6k5g6c6XAGZI5_2VHhmsdLSxxDgNxm95WbVx6nR9IOlbrc4HV2w0XutJnbY2rNZrvU7RbtwoPaoVGadTYEC4cjXHGT9Q6dvU0TBkf3WcK-O_U-gJNQPaLYhcbMHlsadUuEbWK53i1PTXGLjYLONtHSyL-ZIOy1FelQeXAaRDZkSUrVytdCfUFyMqGR9F-n9U2m1rYgQJJVhj6DoetYC0kEidlucqPcoQ8ai7OAu0c762MZiO-d1UMyG12tEiTCONanPOgAw2BAlSus6jP1FYsaNRcPYLDWs5PqXbcjYWlTcZl1akSLOcfbhc63I2UHxU0EhokQsttdN2p0mGtJsJwitMGrJmR5RfqrDpDSckZBus11jcSRSbewxpC5Wurujpt9aTOxghY9aerUrsoOq1x2vAho4Wbchrw6vU0-pYSx-oOPcDkFebl-24x0nl7jczMSVx9dG3pamitpLy8kc2C53vsejQrNa0gTzlRri00QNQ0yJNpR0SrAh1nXGxWaFomGjG19lZBpq1DUZLYAEeJVHnPear8wDssMFqEMg4MRpVV5ter3O7gRkl1lY0zulxOm7T5Ss0aBJqBpIA-wWUWe5rhkxwFVFgJggYwoQ7jqMlxBHCqufWBkgSYgHYqI6nWJ-oXxZZvTRz3Ntg7J1Q9MEAssRstNN1FzmsOAJXT-PxioVHPe4ti3kro5oVRM4cfPKl8EH5EiD-FyxrNOwS3URbnwsWNrBwLRBgDkLUGOo5vcYICxndRFgIeIMgXVNdVcGCzgTk-UIAeYgWBG6lii15piSLHfysAtdqcNRkKwOHwNNr7LQZrxTNyJ-60RQ1AB78JFri4_TuThZqJD6pI7AtQaA4tEtNon3W2rdETcybmYhVNVDgHZgi6RGuhVFSYnEwusGpjhGCIG-VaNDTpAdeDe2FnxPq5cIuffwmKkKgdcm2L8o18bKbu6zrWN1qRloY8zaZm44Ws6Gim4OAscrN0NUJBOSRkQstyI1tIcCDyVw5NMj7WFiR9WVhQZF5OSjq71ARYQ4GCUFQ4EWJI3sk7SM9RhBm8nypYDIgBrS3ysqLnWDJNuVKsSlzn3BAGNKiqh3iw5QOxzQLN3vfCDTIteSoL0al-06fC1ErbTfAAGd5W50i7AHwSY42WsDtadJIuug5ktOoXPlWirXB0i4GTZIgh5EFot5VBLu2XbYAKmABwixBJ2UUSNMEmfZZ1YsxxI3N5yoiwbuD_dagWdMAxBM2UvYz1f8AMOBIO2yxWihocTeZ5XJYSoI82wFHQrXAgmIJGCilpti5ucCVYzV2n6b3FgtOZnPlwGPEQpjc7Sc3uInP7llodMMMj-6JRYGiTF-JQnXTQ13ba02shSNIDgDPsqlXFQmBngbLpKwmTBMe10DsaNRIAkbLKi9mpszHss10iMA3yOZupiufHgeApURe4tsIjZZqeOcQGgTBWTSnSS4CQRuukUABBdZ07EKgaw0m0eyH0PUJcBzynqqse6Ib7SmClKBY5CI0GoSy_wABU9QdULyPG6jOjaASL7QjUFo3ypV-qBpZcZ91z3UjgQ0mT7DlFO0y3EbJuh2gB4HOTws_Rpack7fwtQWou1EEJxvY1sJdEZK9G65KtcdGb87LpOkOwab4900M034jwr6KlwIncCFy5DNUguBN_C43p0hRbUQdJBnCnpatTILRIjdSkuj-6DPxsrGj6xABGxiFAxqRkwUtQznDiZCokSSOYuligHAHPlTfgYu1ExKA731R91fgtTMN7p-EnTN8UBBbBJJ2srfGIakNTx9lJVsxpbEC60yMwZx7IGIJvvyoohxFhYeURzj2zhUBpAkT4QWkRyg6QH4MIG1OFgLHwrFWa46AlHESZKiKti4IV-h3OtKtSiAAJNh_KIV15tYys0hQbEQflGsMCXNuPaEZO2Bk5QGwJWoGDoyJQBxBB2WwhAMCZQI8hszeFLJBJw1GRhZE2jum5tCSCofII3lawHUYIPKyC0zaMjJQM2zgCUFXOgwTK1A4fBg38rf5Odh21AJMyMYuukFWnWwEn2VxKlU7gZ5ws8iM7rmBbZcK6QBUvBNgmxVBBvJCgZhvO3st8RVro8XytVDl0AnMX4VhP2LahIv8SrquMPEmfda1nSAiQfKzjAuI1EtE-6iFDzMoGBB3PkKijSJubJouCABeyoD3Bom-UDU6gdf8ornDVEfhVuGY4A4hHMxdb8qAiXZMSqOD-4bx_CyC-26ok-oI5UtjUTs427Rypm-NnNgMrc8OS1Kc2Ucz2O8weFdiGkkwBurjWGvIJCrJHw92IWaAWnhQBh0mLkKzoVZa25V1dMZiFVwodD7myyhz9x7rTRhYWt5Rgr7TvfKBCQ4mZWYoGwWl0CNLZkLMQzSAJWlotuReyB3O0zAlXGLciJNjFj_CazxrnHVED3KNlAB8ArKz05MNi8c7qn1Im6zUrgTESSUjGO16rQbKtci2fY4SEgtaRcwq0syC20qYhnOBBjMQrOig1xsJhHOmc7VaZBRCttYYVgc1DptlaaFpLnLTJzNoQc6PpvKmqEDCi0IH_KKYQTZGBYNmjKNK5HytRkxAJHKB2CBBSCkg2m3CoWo21h-VAGCHD-UFhaP9lQSNgFZAjyQ-JmVbMCuPwFgIRk7cIELt4usXsM1wK3IEdvsudWlPKiGa6MIG1SJug4PMIP5DS83nSNxuvrny1qNTQHAmfdaIr-8TI-FnW2np3AdpJMXNlrZU6bKb9TZLJ8i9lucp4h6TW6jJncAK1tdjjTgOhwIlWINWn2QDuCpZo5rXECTpA5tdZzBUy6BJO9lFUa_tDWkGLmVYn1op9Q6k4jfPhT6rdQrMcwMBhpMgRumDd03VabONzZZo3dLVDX6jnF9k9WKvc4OkEx-YUKk2o19WTOmbl2ys-oh1zD6TnkN1CwB4UHnMruDnN1byifWyg4H6ptcHF-FritavUfW6cl1y2Tpbf2C1Ylf5x_U_6V1Ffq_Wc1xbq08x7Lyc-Nbzp8n1X6WyhXcGanSMuMQuc1cS_wAN6dSHSARbUtRGnpjoIhkb33XSOdev05L2SwR4OFpY9Wi9vp6XWttstRqRUNa0ZMLUSiAXfS2XbHZXxcbWHQ2fEH3WpEHU4gklwbwVU6ZKjTSYXNBtbSrgg1wdn6thlT8WUqzppkGZ9lzrTxNbqj3sNwTYFc1eb14NJ5baMDlX1GGlLH0xvMiFuSGPcPVs6aiAG_5mHRePCyrzOuqOqhpgzGdltKwkOqVtMQBuVzrU8Wr9RV_xDrhtPTH4VvU6Z1Xo3sDHHXN4-6mke50nWRTYGSYxOSFNV6DavqtuYBGUa15P6n0PqyYEbxlZ5D5Pq_04UyC0EtNzOVzoyNlrpztCwvjVRAe2QC0DlZdJdbel1aBFxEXVaj0KTvTaATuor1Oh6sGGwAZjke6Ja9UdYaYdDhIxpC2mvU_R_wBeL6gFQ3x7rrxrD6_pazasABtrzC0za2UqDTUDg4EG5_4SsfiZ0EggE1AN8AKVpjrsc-wJJO2yjY0aIaCON-FyrU44LammRMulG1KD7kGYNs3CzRs6RzWQSZnElRWtr9JIMzEiUaaR_nOD3fQTZoMLnya4za1fSBc8X4WM6dmzoWj1SRfg7KeNRqrmhSoubq9N3MyFjlivkut6n0HPLiImxaNl5uXTU9Z6NRvptfBtP1FcbfjpHo0q7Wuc6DEi_CxZvjWa9Xo6weP_AI3neFhuR6NLqBqMHVaDIiEaQeSCHjJ5QSpvknUAdiZQVNSIDrwN1MOmKrWJf2kNZgk-_wDKyyhVqQzVIJFvdBkrHse65G0rcioh3aJMg4hE9cyYAdOnblQMXy0CCR4VaUpNMWEH3_lZ-suNPtBOZwCq0Zz7Etbp2Cx9QKNQsM7g3vdVIsx2oWNs9yljSjaLSQGNJgyZK18R6dLpnMbLRE3XTinrJXAfJuIzNkvVYZA4ay2YkzGVr4OcNUtOknkLna3KSmDTLrkxgLFaOKrgLnNoAVGSu5zXG8CVm3BFztRsfgDKTtKV8VCJAIbgYgoQWG95mccKapnOhw1E6TjhZwNSIMblagaSDEwZ2SBHSSR9Sui9MkNgEAfwtzwO4tBkkkDeJupQoAIdqgX2sue2UOxjbC4K6zsUmDGoqjmEB9yZPCsGzpiAbk-Iyuso20v8wyMhbo0tbDDJdHErPKBg4EREgcBYHUnE1AJdp8hZ1v1ra6YwSd-Quk1henJFxETC1o0UnwQM2sjUGo4l1mmXD7LNjbPWqSBAggQVw5EZ3vi8wYXN0kJSc7UWgtj2RoDUzAIaTgGEBpPIJ077Qk6Ypi0lkzqJ2RnXU4AM3PhZrcoO7nuIO0wo3CtPdJMFCma8gmAb-FlVAQ76rmcoLUR8E2uoNNB0uhxPjZaguyuKVR0ZJmYW0r0KLgQ06oPJXTjWfFRDnAAR7brrmpouAaPqWVl0j3GQdsKKYvBaImYuoAWkgTIjbdUVp6CC10zkLNDNAbEzGywHpGXcQr9SrAkOIBW4xoVWmCTHapf6b49oG0WgxeFitg5xaJB8mywsCJHvuFl0R0AAgi5KgTIYXbHACsZrTpxY6StMRwuZJJAUrcgVjquDErK9EIAsHTI-ViVddh15SXaetNP6RC2ufBe24tc4Rina3s024VnrAggYi1r7LdFCRJIEwcqhKgDgWgzeSFiunFLUTF8YhZaSJIcQJ-6zWculfW0ug22Us1anrInZJEK2YifHulo6QAQSquEL5IF_k2UUAQHwrBZjiIBEmcLSKs0398hSJn7W0lhkGZGOVv4eVPTOZI4GyiC7I5UXDU3awTO3CXxVXGTcwFw-jsCxn-y0ptR02hx8qi9JwcyDlMFAbi39lBehAeMAFakGunIIIFvK7cZ251WkNUDZdWVMOOm5NvELNTTxIvpB8qxRxTNvlY5CDnWJBhy83L1uOF5nGPfykBptuNynp4s0TIAgqxNolsgAao35WNdHQCGkexlGRc4OaQPpW4UGsyZmy0scA02hYsV37S50DhXwMROI5iEFBDRNgVKlUYbArbmu0ahkAhTDTtPbyAqirSWtHB5UDvNgI-yo4m3-6ipVX8FCBSkuzhCrku4BB4VQQAJIn2UDCWutcFVVWP8AGOQgqwh1yohmXebnwtfUqm3IGVUc7THPklZCOOpuY9wg4yRlF0-ohgj8qw9DWIi8qJhdd1Y0rq-BGUZoiIsZW5QjnaTIvCnom94cPe5QI4wfCgDe65hXsATPytAg7b-d1gVpCLke6kBcwlwgWUWGDQIzC1EEOEyJlA7HDZdJWbFWHUIN11iCWSZburfE1CoyJsfdcavEgFwTbZY6bUA1DO6gZsDdagdpJdMX91qChILbk_2TRIPdJPCCjHQJLvhbjnXEy0QVb2gl2hoKeIkXxeLKVrHapI3jwkRZjdRBkW4T1GhjWgDMyqC-NIMH5RQHtAOyLp290ibBajXx0QbbcqVJgtgZkrEqWKbStsoh-AsQUcZAnKolJiCbrGOkBpJi8zwrIKNJBvcjla1PyUaNM3ndVKpP7vOAruMmsQDF-Qmrpg6RH7lopNJUqOE-FkJBAbuJwgowweFVOTPvsrFho1EGAFVcbHj2QNqBkySDhGCkSLoEdYE7-EUplxBCgbTsUHGwgKrK5h5MBTsrnunBytWufJLWH34tlRgWvlxuY8o1-TgjbnReJPhKJycrALY0yUCl1jeyANnG2y1A0RYflSh2kRf6ginLgbiZPK2gMdpnxysxmjN94PC1WHOsf-VAQDYTF0lFqYAyZWtWGYcwtqZwMeCsnQNGkiPyoOJIOFT12bG4Qh9rbq_E-mJnz7p_iGAluL-FQ7bNugq1oieVfQCYNlcAlzhF0wO0gyqGLondZC2ct3wTe2DY_dcqsSMcrNWlsd1Egh2keFuUpXXuFio7TblQcyZOyBiYcAgFhvCD-RVRpqCAb_6hlfXV8oi5sAW0mcrTXHpXU1zWkmeIWGoqAHQ-CDOAjXS7ahhgbtzuqeG9bSSZmNuVdotTrhztPbi98LrLqNOpulpjtjPlbxlM1pa0HG4lYqq9OQWOeTN88LFbihOoWB1bwnxn6vT7WzM2sUitTHXaARGZC0NTHuc3Tq1jMcLnR6PQVoqGSHGQbYhWI1vqHSdJAIgNGVKqVNp1OkQdSQDrKeqjUAOl07iZQeSwBjyydjfkrIsKrA1jdZLtrYPhWb8G6gQ2kC4zVucfaVuXpHz1aX9SQ4YfMP8AysW63rP1n6N0vV0Opr02sFeIaJ33WbF18t-ofotTpnanzpEgEhZsY15TAKWiHSZSM16PTkuIInSTgpix6TKvkkC07hbVYVwGyQbc7rUot07y-cGDMrXvZrUyu24iZ2WsFaby6bE7EK4yxPcZe3VIF1SJAw4R2zIiMIjL1epmoGZEC-4WOUaeV1GlkwLEWPC5WJHkdRJ-o5sJSdLjPTbFQgt0xEEoqz-oD3MZaxyCkAB1wzUC7TAMWC1_jPrM6nUouFwNWTGAs1uFruFZopgknYrOOZOlcKbocCQMuH8q4r6P9P0-kdRB7hYbpVe1S6Yvo6mAgt5NytSarupoMcxjAZc4TI4UsI8brP0xjS14OkTeVy5cWny36hTDKznBumTHsuQjRDWl0y47LLcbaNTS1wjtAwpja9BzqkOEwNksV6nSuiNOZv4VjPJ6NJzgC4E44stxlBlcis04vhX_AAfZfov6k6mxsnU2btB2WvyTJX1fQ9W2qWtzdbRvkEjSO4hZvoy9VSIvayn-rGW4c4OOkEY4U_GN6P0v0EzNlhqL0T2wCFmq0UC15F4IF1FxvoOB4k4c7YI0uaugN12G0LNai_TkkkkyNrrNjtHr9FTETfQb4usZ-j6n-olr6IOoNaDcgLHLj-23x3U1KZ6l1OTpi4eLn_ZcOV1T9NVIY5npuDYJzK8tdWrpHf5ndAthc9saeqyqACbOdCa03U-pLnARaYF1GjlhmPUEarSLrMUjm6HGbNNzvCuCVdxAhxkDHCjCMSRqHmdkraNYjWT9IGCFroZS8NkFtz-5MGcltI6ZJF5tuoz4LHAvET8KtK2a21zMeyCzY0usST4WazUHvDXGbmIhqgdrZp47xi-EVzQBI3yfdVbFqJjBmcA7FPiNdNxlomxNrxJSD0HVYptFmuAt5XWRnuPPrEPeRm1wlnbLMCKYMTfYBZ0IB6xsSQLmQoKObqpAloLjwpY6QKbbWysqzdS4QSXGckQrYMtKQ2NjupJ2lTqPIMANI5lPpFgCyMjk7qZqjU7RM6oumBWOJIuJnhYkFfoacSTYrWANAL7ED3urBdvEACF0FWWDg4WIiP7qUI4tnYiOVmwNSLgQLaFePg02a4ajaIsN1uBDOtonBn4VwW6ckgEE8xNlriN_TmJJbbNguuwbRUAINhBShnFrQRq-QudIT1NTiALC4Kx034uMZiR9luMNLIae0kbTsti7GlrTBJlS9tSmedNol0WhS1qIVcReTm-Fx5OkjPUNrgEcrlWyNcGvBNidlA77tBt7k2VZxEEtdO3A3RGlrgaYjGYRhGqTc7ThRQpP2nOQQpenSU7G5OSDtZZqmYAHao0_3UlwMCTJJARpQVDpjBN5QXp1Bm3CC4OgyG9wF5WpdZa-nql8NP0_ldYxyr0KUOEG4Nl1jG_tUsJZaIxHCuLKi9rovbCzZizl-yMaTuPOcLOtS6FV2CbjyqqtH65IwN0qrm7b29lyqFaTAAyDEkZVlT_WvWX6XnTxZa9ME0w4OuBO8pZjU6ReA3zyVitIVW9w0kwcrnVhCcmflZreoVXQZBmEY0zWhzheAeFZ2trWCCQAZAxfC6f0ykWnTm_O6xXSAG9odcxZZMc8i23JUxrMOxuo6jeFOMTFXOvIF_K0mV0kkRF90ZwzBpkHfCuMuqSCSMZEbpgrTySbg3ldPiwavYztEGd1zrcZx2tn6h4UaK8g3gADflZvYk5zXAx-VL0zU8m0gjflONX-hBtJzwpgnUJGog2K1O2cqVMyRJ0xfwlh5FQQXC3yqscGeeciUxVaTogXHhUzVQ-P3AjwtRKDajIibcpUH9wt8rLYj6g2_AkyqKTpIJBIi652AAE6QJMflYFmTFxvsIXQVpQC4zpnBSRJ4q-QAXXUsxVuncC7UBJG-yko20XiDbZd-LHJZrSHSNrrp9YUaCYOygqwEgYWgX6Ygn5WKMjyNdoXmvbpAtIusLh9ThDgbrU8KsKk3NiU7THA6jEi3lT60H0k78GFvOgwBNjfdSgFwxCaLAdoPCUTLrRH_CzP2mnBnLrqmnYbYnmUZpmS4k2EolaKWbyZytaysAGDEJQ4acCAMwcqQElrbQVasKHDVf8AKnhQe3uibhUhqYOs4lIUzyTaT4VQrTeIlBfAB2zZA4MiQDlBQHuiUFqZg5CsSmdU0H_lKhS8RiZWQjjAVHMJMmJJypQMOMCAqsV0hrbkx-UNcPqgj5SIq8CAJkeFaEIk9onx4VCGzomymtFgbD8JrJCCdwPdaDDTCToB0aZ3U_0D6iJzOyn-CrcAHZUdIgyb7LLQ0wCTeStJVBZuRM_hTNRxEmFqeudttVaLxG2F2lS1XUGgWJtutiTwXYv7rHKb4s9SdABi64Ojgb2PkoCyDJ_KsFMx4utjnaoE39t1OvBwtB-8pKK6gTeB8Le6xm0PqIzEXRrHFwAi62ZEzBmy5b2p6ctBBvbK0xYoHERBJskMizTMcwtMnERd14QwdGpthBQFriBmCbHwq1IBBkHVPsEp-Tj7zKziWqiDYjUfCrKZhuAoODpvFkCk3EC6y3xc0aBjdVqma4ziVrdc12fScYSoYRqHCBgQJI-VVMe7_dNQHjImFoI0aSJKYGLRGZ5WVFjcCIGxlaaESCAVlkzC0jNlYab6jGqQqaLnBpxaEQhvg-VkI9hicqxYEBvMpGjsIO8HymsmJjtyOVUSLiLC3ujPIhJ90Z9K4dsNIHuhIWCBciOUXDNuJshBLtUEFStltO8rIDjFtkAI1R_CXwM1hAkXutfA5I4WVJq0unI9lsqjTM3iFNQQCU034MQEidOjb8rTF9NMGIurIsVpm38rWQNIkRZXpHNkkZWMXDkSBn4K1gPpn2lQC2pDwzGyLFaZdMOEjdSLVmC0wqgmxJQcwkngIHDYMzK1KGAggpQBpFshTUMBA2RSl8cYTRNztbo28KJSP_4WKvqcweVkIYPKAgAY-6qwdWpKU0CL2URMmMFACTuEH8iW1ewtB1YuV9a-URe8v2LuSdlV1SlUgESXNCjMrX07S4EkwI2RrTQWGJMOx4RuXTkX1ftIyUaPSaC8D9xytTobKdXSQ0N1N3C7ShapFo-kYG658qHZVIBEyBspP7GimeyZkYCvR_R9ZsB3jytQaqLQ0g_YcqDRRcLAC45WL6N1JxYWydM8bqDcyq2rTEANn6kFGkGmYdi8KDJWrljDF_I2VGNzGhwtqdN5Kgmaopka2h7bf_on3W5KNo6yKOplMiAZIwUkHm9M09SH1naQ2C0hylgzfqYf0ValRbSZ6hZqpkWkb3UyjN-uU2_qDdLCO2ARtMKWGdPj-p6Rzajg8kADtOyxjOHpO9NrQIMZW4sbWvEENbfkIqhLnWnU6N9kF-mqCmAzVlWbE1rZVFzYFdZRVry4kg32E7LSfUHy2mXiZ2VKnSdJNtU3uiFqgVZ3H-k7LPJNeL-pdkTOmcAWXHG9eO4-o0lwhpx7qUYnVfRBAvw7EIqbS0S50dx22UlTtu6EESD3EWbbZdJin6oh1MN1Ra5GymVNTb07HS65m0EwcZTEZq1J3qNY1xAJi17KK9noqjGn02H1LjUFbNZx7XQOqO0saHAtydipGp09FvSwBUe-XziNl1_GfTWPr-i9aakQMaVx5Q18t-r_AKYYLgNV7ndeflMrXseHU_yXaRfErn9dYYVNIABEnMq602dI5xAIMDiVmrHq9G53qC4I4VicnpUwQQAdphaYdX6cNdrLQOUdJI2_p_WGkGaWzIvdT6zeL6j9P680ogfum667GLH1XQdeK9INw6B9K1IjRUDTS0ucXA7FZ5TuNPG1Nc8m5INxwpsFabQbuBG991htVs_Vu3IG_hZq1ooTMnLRaMqK9Bl5Ni42I5RtQtMSIt4Up429B3sgmMmwv7LM312439vQbW9INJJ0gXAKm_qNQtWqzqaNWdmzY3K58u42-M_UBo6qoxlMua_Bdkrz2ekDpSTYEBsxBN15-cx1j0aLHNiczYLl_rUbGVTcOAiZlSxqtvTdR3hwkTtystRt1vGkyCTknZL00nUcGmLnxOUEnFzn6Q4jjysspdS_LcCNjlbkaZdcAmLcHCdDNULg4ET5A2C16JPaAJEF2FnB1KqXEgSd74CdCwcSCOFBQPgkEiQbHlXAj2ybWK5o4DSwxcnAJuila6XQCRbHCui7aZ1QHENiboN_QvLnucdNhnlIlbiA5gEXjfdd-LLF1DW0yCBf_SqyyueXOIkC0XxCxYFpGCWzpjPCxekqmvu9o2RqKi5cIvssx0YarCahDu3eSlRmDTTk_XBykRLQB3mfIIS0Gm_UGy2IvMyoKl2mCYB4CLpW1GiRYgcKYac9zDIiOVpSkYjtjZZgqyqJIIMrepavTcS0yBbEpqleJJ1EYmRss2oai_VkgHZWCwdMgYJ-63FOGhrgbDZatgtQgvnMDGyTRtpFxlp7RtJWvrC9N5ZdwsVr8m3GpkkASfspQrXh2oz7LP8A8Nf3Wphe8iYJHK0zrSHO3253QUp1HTbtPhKLuJpsg9038rNWVmc7UO0STsuPKOsvSXUOAwYA4WHSXUA6Hm2kjblDZBDgXEYMq7AmsgkmbGyxFVa_9oMWlaTI50OOT8KMYZgMyYAjdL26SCZdAPMAhYzQCSwCbjkLUi4o14c5o0kpn7RobeZiyjWmaW8w4fhQOyo4knjfdXGWvp6m5JvuukSxtp19EmbgW5XRixup1CWFxxErpO2fBf3uLY8gq2CZaGki4XPFlKGgnYqXo22Gb_lyCNQwQVJV1TUH3xFljG_Tu0XAPmVZCrtuBYQU8VTTpbtO0BavgjVcTaxneFzIgX6iQRDczKzY0k8wSJMThYqztEuBcMwo3ijSDM2JvPHha4xhoY21rEGMbcrrEGqWkE6oGCQuVWJ2AHaRByN1nXVMNJ8Nm5N1i9Iem4h1_pSKv7C_Mraa6SALeJi5VZ_E41MzYey1rAgkyW7ZQOCGg3DkaxJzy4A7zhSibjqcf2mcLLUTc4mA43WbjSL3kOcJAjndZvdQQAASccrWH1Nx07x5TBOZNzJnZJFGNDRe3KtTOxDpYY2UwNqgA5V0vbmvcH6ZLvI2RPIu0Rb-VvxkHjTNwAla6wQ6du3CzCHuJEkeeEaOTsfpF0sDAxF4XIVa-Gi0wRdalF6TdLREyeVdDepINsWJWL6KUnFum4PhBro1BLZIA5C3KzfGw1PK9HrnVabsEEoLsDWnYyMELQjVfpmLz-FL4Mz3mT224XlrpPChkgG2k7KY0YkCL77IkVnS1ptn2SxR0y68HcFQOHlwt7IFucDeJBWh0angWPkhOhTXAMGbrNR2qRIyp_jJmEm8WGZWsTVB2NsdM7pTs9M9ts-UT600RMkkwOEi1WZN8FaZUkQTdBMvJBEkqBA6DpmJyinDzpAgfCkQZgyLqgh0t2lBwBBBVFSTEASFA7TqMwUl7FGki-6qVVroP--yeIBAIGD52RYBfAsLBFLqMEAz7olMHQBc32CGGa7cEoYd1QkQTJOVA7ABcXViKTeIEZ-VoI_taSLeU0QqVIMmJ39lkhBWAGZV1aLHyMAyuiGECCQPss0TdkREKUNTdGAQVIKzLcFUTMCbprS1MjTIOUSu1SYIBHhWVMU1QMXUiYGsxpGTutys2Ki4F5K7fGTOGn3UEnR4-Vx5ZK6RO5uLDhZt7FBCemma_EASukmKYOlovpAwDssUKXkkzhAwdA7t1vRzSWuiFrQX_SJ5T1CtuTdc70ODiN1qclPTeZkxa0BWXaK6ibwuuJkqtJ4AsN0MxUd3tKy51xGkmLIC0EjCq0wAMW3UZc7ssMygSobcFSiYOnJM3Ua4wbl0zKzW5MNJ2O-E-FM1pAadlqObRTOljSd1pBc0XcB7IOYb3ABV7aqkhoEkhMZKYcTc-Fusd0dIKjrHAi-0Iei10lEB7vuiwwA0_wB0YpqQtG5RJjnN2zypWkg62LbKRYBdZaUuqSZU_wAQWkC6smrhy-RCtiJOyNrqINzYZQI4ztccovjmnY58Iei9waDEIzYRro4jwpaS76585vHCyodrgZBHMIA0xEGUDayAgUVJKBw50eEB1R7lAxfMC98lAxuc2hWBgS9t2gLTnnYtaHCy20qwaRJ-0qbqKSSMQig0YKrKuYCKdxgBWpCgF8yIKRDAXO2lVfinphzSdwiA06DBvKBiQb4CDtUoKN7xgBWDn9uwIG6gVpj2QAOLmwgBAhBOTzZKEeblctbwlsmQhygSDcFXGcpXDuFiJUMM1hMk2CtR2u8bKLgEyByiAQ7hTR_IksmTBniF9c-UKSXEt0ge6GHpsawOydWQd0XJbrRTqA2aQP8AtCIux5GwJ4KrpHOBAaMuIkHwo0Rr3Bxa7I3VG5roZ2i82K1LQmu5F58hZFqQBlxGcxstos5wZT7b8KZ2GpjQ0fuJvHC0rZSY57LmAbqjTTaXGYsMQcrFg9HpoAhwmVkrYxkkEiAb2FggBALXQYVnQyVhocIwdxwsjDVe9xaWNgu34WpAj-nL6YaHAtmZ5W4gs62aIY0BpaYPt_dS3Fef1fWuL20XuOlrtQIEWSWCrK_UVX09Ltb2uJD3CSGxsp-Qv0_Q_wCLpVaxGmo8_BP9ljdV8z_Vn6ZV6V7D2mlIa0i3yiPObQNNo1QQfpLclBqoNiC4dsQgZ5gPEjNiriKULkhuLFanrFazLG_SBJ2Vu_E1WjS1DOMkrcjUd1Lu206QIVWoU2sa0ht3FEzDaC4kiyM5WH9Q6QvpEnfk4WLP0a-d6rp3McCPonC5tS9dvPrU_UO0zkpcbZI12nSBwpuI1UH6AWg90A6pWpDV_Uc4uAA8Sd1q3EqlE1HAuOmBwJlYvaxU0w-swsY0uAzNgUVT9PoF1Vz6robqmMK6Pf6fqaboGC61jssjV_iwXOaIc0b-FrbnaO6nqGupvLDm0E2WbdWPn_1Go9rYc25sSCuPKasfNdQ1sl2TMDSMLjY6RlbIJLrzuQs7nTbd0hByAIsCr0R7H6a4HcuM2hWNPULdDeXbhaTHdRVcKeLCxARpOidBGP7qVHrdH172PAc4wYuVqdOdfXfoHXl9QNDhpuF0lrHb6IvD2zEjFitr2w16GhkMBmIvyudh2WLNabu3JOVnG4pTOA25K51uq0ajWEyLEGScKDeH6QHgjRIzgqHjVRGtpJiG2AlGvW5gNJhvqBGWqWu0B9U9rG3J-oQsSW-OkK4-nTNjoGbWWMaYevfS6p75YdbW_wDuC0LlyI8xjfTqvkSx3Iz8ry8v7dI09OHMqAlzXGSPZcm5WxjnATAjkflSzGpV6R0gBpibglZxO9elQeNEz3DYDdS9umoO6hpcNV3XkRZFQm4cMk4vCuDng6XuIGobnhXU7Z-oMU5HEyplNZnP10ySB7LpOvFZ6jnGrpseFgNSaG3LiSMiVmiwc6mbiWaYUZxWlSJdwfJUtaVc3RFu73_KMwBT9RsuFpTFSfZxmB53VxVWENaTqkkJg00agPcQAYkgFVK3sqOewPP2C68WEas1ATAgcoywlh1gGSJnkqap2umCIJKzYh3NmpexiwWXSKSXAu1C-xUislYun_fJVVmf2gybHCziVjcx4gkmJuCoypSLXO0DmSg59j7KtfChva7abi2ETBFRzbAl3JNlnUuiXGRAIMYGLpU2mL3MAbM2WpNX1amSGMcDnIVxtx73Fx9iEwXa0kAgRunieKNcC03ElXVVYLaokoK0XntZknYrUg3WgXLiumMmLpc4WkYWGhD4EEAzm2E39p2J7natuP8Az3_C03vTZ077dxvsTsp2y1NiWkGCqKspw87A_SgZwcQCb8Qgz1CRMCIK51086ZXvltgJ5hca1uJPqYk908WUSumHSHweAlWX9iXS6RJBO6joq0khxAmNoVU8DQDmdkAM6SSEWA520YM3UUS6d48IHZUAB2JwRupekxUEwQMEKamDTqSYJ3sstL6tLuJwVuJV6NTQ_ERZdIr0PUAI_ldGMWp1ZMSYxZalZsamVHQWu5XSdueKOIl1ySMQs1UjJIhuN1ih_qEHJ8KUASTGPBUxvj0o0gEAC5zZL_TWnYdBnJ4SedmrjH-k88p70n9J1O2LkwudWITrBmxKljbNfUQTNrSubUJpLQSAJ8KN_DUXhrjdb4ubbS7xPBtC32z2BGjVvBISxQLe0E73PlccdImQDUde25WasOxhjAnZYlykULGugDO666KtZpzfYFVRdcXkEb-Ec6d7G202HKqJkHBsdipjcTL41WsNii52hl3dY-FKrnt0si3Kzgz1DOmTJO8SsfUtxzjIF7C191vtStnMCDsp2hS0NMxbdWKFNwJAb22zlaDlwaHAGx8J4n-BgggiIQ39ua86yYid1BbVc31EC60zf6IKkNBNgeVElPq0ggfdGpYox-sbnw5GlhJbnO3hKBq0iwgbLOQcHFkkjO6YNlB5dAJsB91MDuGuxAWfRRtgAbXyks-i7XWDvwrGW2nBYNUEg2C9M8c1xJOqYEq8RdrnERGN1rQlWIJMx4C50YXP77_hca3xAu7TeTuprZ2jUJOyQUDdAk2hAwdqHsd0DBxGQR_dTQze0SSZ2V0HSbRspewWjTcmb7hWzodqkiTciFz8Q4tvK12z0u0ANg9wPKy11h2MgRb4W2emhje2IhGTfS5tt8qh9RLr4VT4QgaicNUE3Q4zhOopm4gXKqHDoGwG6gYYmB8ICCXAgRP8KijQGCQbnJQM15Ld5mbKeBm1JfcZRKqHyJ_lVABdIJwdkWGc8OET7KJhBpbf-E1RE4HweEU4JaCG5VCjVIMR7qVGikeRASIdxuIWqYRz5scKGMzoKEIBJsi1TYLUqO1nSQbq0GBgqAAmYQWNgTwp2J5JkT5KmNA5xBxFoTUM19_hFUDwB_daZFjtR-r5VwXpkftMOGCV2njkq0AkSJOSVpE6zQ4zAElc-eOkR06XEA4XKtHDhthEUERIXTVCLxGVmgFpEWM8KAyQMTKQMYN4VoV3c62AOVZQAm6Oa2xtM8q4GAwSN9lYLg6YgAeSums9qAWzjdEunFQG03TGcODPuOUQ7DAMmfCnwIHxYi5KkUwcB5gq1E3mTJmFAoJGBY77qf41BaQJkyFGrrtJF9lMZ39q0wT7YhaTV2sDQtIYEAeFRzO42ymqcOEwPnyrqXwNMNBFr7rUYkoOLmxF_cqOnwS3UAixwJaYj7IgvJEQISgM7h_KJypnG-I8o5ACCBE-6OkBzYkzqJyVlogyRsgDgNVoVnSwWiciVTXcWkeFNKGgG_2VZO22coFLRquUCGJ5KmqRzCTICIDjpbNswVKmdiIJzhGgcQBjZRCtGmL-UBcS44CoAbJxCn0MSZAiUDgZJCAtIBv-UBlxdGxwVcFqZtGFqSh4dmLcqww9ITOFqRi9HLYurjOiw9wsAjSrtINj8Ix2V4IyIC0vpW2gf-FYaUAtM5WmTAFn90DcQAZ_CAnTPByqOaIJI3woK3ABtK6SdBTJF_ws1NIbGJusqIsz-6BSTkTKCZgicTygmDBM52XOxuXHEark_CRLStABgK61Ox7bXWFsgk-RCrE7rjM2wUdMwhjG4ypphY91jtnH8iTdwE6ZX2L5ArjoeDaSM7oGpiXZvwVejWmk0zEZwUGumBTEgzZdcjpCVNBaIJDgIlc7_TRKcVHSZJFpU0WZUm0kgcp6KscQ6AQTuU8FW1NLsHymh7kuAwR8fCu1Fqb9MAYGU4-jS1-kbib3C3p23dOQ6YwRYqWD0qF4baLLCt7iNOcWhIjPUpkGQAYtYq1WOoXNpub7ZUEX_wDuAhxbAyAiM7maBDSTbnK6TsQY19EksDRY6dV7pRi9JlOnV9SoC-JjIUuK9Dpo9MtFQCWgGP7FEbenNKmWNaS6ZztZPR5_9S1KfW_p9Kk93pvYdTGuFyFilfFtY9tQy-Cw3BGFmJGymxwY0m5P7SVvxQrUxaRF8JqVsptGmR9OJhak1nFQIsRM-F1nUMaWkgZAdH0orLXqzDQS07qKhTdwRq8oVoFbTAkX3AW0sc9gA7pg7FVh5HWUG6nACAuNjUfN9Q9ofgQCsfi3rPVLWgADtAyFilTaSXapA8HYK6LVqh9LtAFslXplmodUWAtLgRur_jXT1qL4eyDdw2wsKZrXSdQMk4BQb6Vc0ABq7gONlWbcbWPYwNJeQbmQFm1ZUv1GrVqsbREE_V22sorx-rL6jtIdbV-5Y5LHk9ayCWzg2grnW-PTCym4vgyDwFzba6ALXabyVVev0tZzQCDBnEJG3s0Xl7IBBdytIetT10pgic-6gyUm-m4S0z5KlqVtomKo52Gyuufj6L9NrupimWkebbrco-t6OqX0w4mLTnK16NERTcCP8sid0yjI5rmkTEDBHCxWoei4sIPwASstq0p1yCCwG7TcKUbaROrT2uiYBBsNlBs6WsAAXwSckbKVr69Fn-c3QXk72ELna6RL1HMr3Mhqz-WeN6p-ouq1endoOAQGyMrF77anbym1HVHtNRn0tktBz7rla34yVS95Li0hoiG7Lz83Sf2oysWkC0TPuVz9baWVhqMEkR8LN9anutPSVSD9O8Dwnxpqo13B8SNU5WMY0r6ulrgDJBkGMqVdwGh5iQ2Jyt6svZ6rYp6jzEC6NslZ2tggmbAghInTLVcIJaZMwLZXTTUKhBdAPM2wuZKrTkuEtGkZ5TFVkARI5ushvUL4JdkbKVFvrZMkwMbLKOa4kAHbA4VCuLnF0wTsYwrqi0-oRJi17ZUtVWk67QW2yiN9AjSQJJPBsunFmuruhpaJA3JW9jDGSQ4gHTAWQj2luSBw4LarA6g3Vdw42C52tSw8QJMyRFrrDaFYtdpkwcKjHVYGgnc2yolQeGuOt5vv5U9TNKx0NBHbdU8LUk3_AHY-FKSkDnNJ0WE39lJ_bQ6zqJH0-VUpwTB4UuOZoIcC4-bKz-jcaAQRNoHha10icgvcNtxyitLHCAORdZqVRjQxwEEjJlIy0A6mgQRGFps9MO1guvfbIXTjMTW4ahLmwBkcroGa9oEiPFli7WZsK-pDdjfhYxuGY_VcCxUlGim7U6CbYELpo3UjDwTneFV-NIcWk_u9kzUBziSBIHBKgk-q1w7bmbrnXSM1UFvBhcqrO2ImI8qAOfAgG3tdAG1ImTiyz9anpw-Zj3WnRZlQuF_upRwdIc0iRzMKCektMmB-VA1N5cLnTz5QijXWEXA5UrWqT2yTPhZDtbBa6JMoKNeS9sG45XSf2NdMkkCxaOFqejawjSNWMLoyo3_LcMCflWJWtlaRBJB5C3HNaC9wIJHASoaQAXEmeFkKHyCRtslUabXE3zM-VF0HksJIzm6YsOwkP1ACYmEavjROoC2NsKfXOXRrAvbJI9lLHWJFocIxCxdvjcY6wAqNOkm8mVydM_QPIAiLeFF-FZTAIc287LXFybaIGhsyJ4K6xD6DAkAnPhL4A5pa4AHGZXF0iOmPk4WMaPTeN8eFJEVAJcYMeUNW1HSDAaDaYyt71ik1SRdGLD9zri_ujJDULhGIV3puEc46o5OVGiOaWG9yeAglUOqAcDlSiHi5N8BRmkLtLQCDI5CqwmohosI5UyqSSRkwCoFNT03kC4OCdlUcA4_tnxKW9kVadtQPlZSuaAJMkn8LS7FA5rtV4BGy0xSzuADPKMiyRvdUXpNtIvKjpBBLCZnhTTex0kuaYJgJGlWEFxhw9kGqngK0VmAJJyuMuBy7UPHlWT6HY8NvExytRK3UjpAcY8ABduE2Od6aWuJaDhdPIizX6hCkAqglpaCI8lZox-mW4A91yrpC1CGmwmSsY0ZlTVYTHi6oLtJE6lBSiSIuDNgqHIjbxdQVptzvwoGNpI4ViFLzbc8K6ADMx8yFg7WaBEZ5WmFG4iJG91lpWmZIAx4VTxdpMWzN1rxgQ-JAicIHBAGMKibnAGM-FFdOk8FTEcSRxB3CvamuWm3hSUFpsbrSDqDXWsY3wVFUYS4BVmGadNxF1FEODYM35T4KMeHgDhBckOgCxhGUi0gQQq1pTcgE-yh6LTeCqKCwOm0IOaSNigq19hdRD4Atm60qb4wL_KqoPiY-yymOEAScSiYaSRFhPhX_ABBaTj-yoAFzaEMUpsm5un9HihBLSORugiSIINkagOcHEAGICyz9LF5BH3Ua1Vptytxmmpjflbg0UtryV0jlVfUsFqIDnSCNksa3EHP0kmBK899dIVj5NsnKhirXCLXK1QwIF91nQCQDJyEBDpaCbeEHB8ex2VoA3JwFcBJm4EWV8AFS0CfMqoDHEXEp9VVx7fquPK3GdjmOc7BVi-tFK7iDsrp8XsAN_lI50ziHC4B9lmwANNsmcLMHG3bstoiQdzlZxRIg-UqyGB7fPCOlVYQQWx5RyM20-FYi7MA5nlUB7YEm54UomCRAkDlQVBn6sTlaBJvHvldL0zvYiwBGCo05sl0iIUBAIcXHCoDjKBGGCsxLFS1pEYWiT9kALHWwiueQW7_ZSiUzmyyC60kC3KBg7S3nytKmalzsAkQWOAEmPumhyQBO_hVQedN9_ZEJm5hSQAEXJUg5wDr7JQhfpPMeEChxjcH-yBpLhEX8q5AmqLTfyFigaozc-FQ5Np22VHBxIiVBSmIB58oKMAi5VFmOh1hIXSCgECBMcrWKcN0733V1zvruRfwmphtJaAbLGrphIsQPhVDhumZydhdaQOMZlZalFjRkq-sqWi5lUKL3QHJVBbnn3UDTd0D2W_gWfUPEFZoOguInPKgYifhBM2fn7KpU3m-LFYsaiZGk-6LXHBCmJhY24Ua3DaYmwhQt6KTDT_ClZn7d6gibqreQasugKVueODS64Uxen8iXiDiebr698caWvOmL4kDZAKTAxwOnUcXKL01Uz6fcLtnJW5hO141NFw3eAul8bkZ641AQBc_UVyrRHjuFQGPayyKMq6Y0yB5TcGhr3PBMiVnRzbEEmSDskF6bztOZgZW0VFQ63SZTpWqg71S10O0xF10RuptwGktgXss6let04LQDJBwstNoMtYc29_hQvRRaj9IgGI_urhrKaZYXGINrKFqZIlwIM-6oxV3Opicg9p8KwS9TTSIbuII5WrdHnjpaT6hc5paRgD-6zSiKfpBoaXS-xAwtS9Yzj2uja5tJoIZDRYi3KsmGPnv6v6dw6miWue92kNcR-3hYvq181DxXd6suIsSP3HkrJGhji0iZMGxlFXbpcQS65N0RbpztMXkrUuK2tALS7UZAwV1nc1MVa4glxI_uqyy9Qzuk4F7KWXV6Qq6pESM3VQzIb3S1pH-o_wABXQ75AtI8tutMsHWXaXTmYA3WL_a18t1tIlzgHEEHYZWb0s6eZWrllTc-FiZ9bMX65tpMWlTpmjUd6tNoMk_ZZYRaNTw6w2lb8aj0enqAloGANlMbejRb6Y1XcBf8LIZtQukjDDquriVp6Vj-seNbs9wtZZqSNlTpm06IY6ppdM6gcrLePP66k5jWukOE3G8Lna08LqS3uIbpBwTus2ozUx3TIna6510kdS7nEkQZ2KT9NPTpVHaDAIVxp6nS1yCNRMCCqNfUO1UxB7hulGJ1U6i0CQcELI2dK5wbmSMXQe5-ldUGOmHaj_PKsrNfWfpXUaqQa4tAORF12jk9Gk7GoOgWE7q3Wo0uIbLSJngSuTUY6mrWA0Re0bKOjRRsDyTYcBSstLSNTtQJa45FiosaKLPU7gO4bXErNaelSmkwFzgDOxmVnCXshqfvGAcArOO8ys3U16heGFxIfO1wsXpqMPUdSKcMaI7YdBXC91ojHCpBcSzaxuufKNylpsH-IABOkXE7LjZjrG1oEAFkQbXhYzG1mEPMtlrW78qaxqrC5r3aHQ1wk8rGmjUfqIDRDhgm0rWGqdNVDSC7JEycLOrxuGqjUwAyCcQt66azFx1Ri0kqaVh6ggOO17QtRlBxmdMkfYqC1Optn_5KtasS0tIkf3XO6h6E69IMxssiziG23BuQrWj2NwblRnCu0uIAF-Fc0hA01H90NgSFL00sBpbpMGRsVRq6QjRUaNJi0rcY5dndU0twTA-Ct4xQqN10zJBBvE3CiRkrDVVDQcCwCtaNSfMBxEzuuaLuJgQAIzCN6zOdO5JN8ISoVTMibZgjdFtZn03apJEedkWJMn1e7HKFc4kmBY8ys50n9pk2MC-JUn9roNqaDBMt3CKsXwJE8AK4zYAdBJuDG6vjnVGPgw5wndTXXR-kANuIsStKvTkNc5xkWsiK0qkwSA5STtMaQS7Age62000b37pNp8Kys40U3B8iTAvK6tOc46gLt1KVnDiQReD4C51YLQQYBjeVjFaaBvI2K2NlKpYkCRv5XSeEXYIycxhO6C4apNtIxClEnuIk6dM77LnW4hXIAmB7eVzrSAu0arRlZolUcW53G_CyEYZxEc-FMVdsEARINxdablN6mkgTfxhT1dMBczg_hVSl0RItiVj6OnVYEHbhBRv1QdkFmw2SHTAwVhYYDtBvnZFXpPc3jhbFS4gtjGFrU1qpHRiSPK6TtFdemLiVpmtFJ5aQSNUFamubXSdDDJxgSqHIvBNlAhdpJ2ErOigqF8G9sBAH2HP9lfjfw9F-ixuM3UpuxYPBEgfKz3GfDCqXibxN1rrGpUnulxk3iFx8blZar4hoJ-8rnXSUjW6jlG9VZAdAxuk_pirscSdLSAAMFdWWik2RbI3WgHgEEDtGPdcrGpcQcAZMR5IssN9nbT3kR4Wb_SXxdkRaCTZQ-GADRAOki0JFB-MYN7rbPbgIF8ExYo054Gmx-5QReSzJCKm8ktHO5QICXASLoMj3lpIJJkp0z6kHAviJ-UaOWy1xmTOQgBfcze1oSokYcQIkqRTAhhGLjYrKaBJdbcnCuGapBaLY4WmJOzMiDaBlIlExMxcKxBpuD_B8_wAJaKDSG7AnZTdadcmcHHuplJ6dj_JPjhI6VzahkmBGMJqNlB7SZHzJylVY3aIicwVyofVYHDVYKtqAgZjxday70NVJx0SZXXi5VrpOIM3jwutRpFQlqkgSo_Vkg-eFbBCoDYT9lxsaQc6I3nYrDeuZJJP4WfqqRpOR5Cgqw9siJnfC1EUZ2Agbm0LNmqZt3A5Kvgp9TTeB4Tr4hYgwL2yorqYtqLphSDQ0BzZ1ETeE3GcNrj74V9S9Hpt_zBH2VZaCbQIEnZW9o5og2Eb4UFNWoFpPwtCbDF4k4UUQYyJVQASTb3RfpzpImTlQOGjQXWA55VQhAcb4OEFQQweEHEmbfTwg6Li--AhFW_UBgoNJEuF_dT6zQ1ZGyoGgEjGOVIsIxuki_vuqqokgjTA_KGlBPt7oLBwBFhI3RTFxdAb9XPhAjnduIPgLTN1AuE3v5WVB5k-Ag5hJNr3RlSTcGJ8LX9BXAhwT-m1aZ0tEWlXKzTRqM34F0xSVGE2wngBbpAIysJqRdBxJ8J0izJzn-y3AxhhvgWC0KsIawRcFdHOqMGx-LqsnIaRiBhX2CBaJkrhfXUTYQVlStJJEfdBWJBtflALFxGSpoZrtQ9kgm51wBe90ooABddfibgGDjdGaLrta2y0nH1zW6jAWZMrd8PawyVuOZmwMz7yq140NdeWz5RqqNM3sT5Wo5HmJB3V9awxPbAifKx4iLnkNsD9lKOzEwFJyjeAYDoP8KqNIaj7KM2rOJiIjytRgwG3mUW9rNMTlEA1JTRNsuceThZ9FW_SQB91tegL7xsd1q9mHDgYBi3BQvQ64Frq9M6QVINlFAiTn7KaGBDoIMe6mCrQAMm-60JvJidRhFTe4mDtws9mFLSDyFEB5sYsgBJkD_hWLBLQR7qI4NAI4CrOVUGHF1luJpHuEQB8rPjZBc3wpo4NiePF0HCwjPlQTqCDk33QcRm2ooOIDhIEfKvYGbFTKODZH8IHFgbH-yoZrBP5UgoCHCMFAw-FUq1NthZahL0uxtjwrrNri3SPK0np23GMovbnMIOZUZEYjcmVrF0zpA5K10hcZ4WacTsg7_CQPEE4hUdvtdXpNcDBCiiReB91U7FufZXVK52kefZZTQY8cG6ao6yZ2WgpIHgLNuBALzkJ6pS6SLLFUjgTMKarj2m26ep6QuF8yFnUjo1EKun9GLNzhGfx0satWnE7qermeD6fBP3Uxi3t_I6pTvBuRdfZ8o-TKGEAXkzgLmGDc3gjCDRTiwIIHHnlbk2NSr-ppadTg47ALpfG9ZXlry4m_-kFczUyA5hH08LJosOr6TJlZsWdrNc-SJlpESAoqpc7S3fYBaiLUz2ntdMXITdGhs2c4mLGSrO0a-nY4OsYE_C6eQelRqWDTzZ0XWUehRd6els6jMEhTDWwVYaQTeYgLeGmq5sSdNoGSs2EuhVbqa63DpdcrOY0wdRSewggAHMpBgq69Rl1ze6sz6Mzq7KbjqhpiYWpIeMj2veTUaS0kg_Clgp3VNOuJGHTELHg9Cj1Y9No0aWxDiThdJRTqm0j0tSsGkl4tebwr_Y-I60Pax0kDumQM-FzTGcO1gObAnAUF6fawyZMzhbk1VaJiqS6wPCzZiNramkQeN11434qzHwJcASVplN1MioQTY2AV1Gbqnik8Ag2RcSDhUeSIIOAMqIvTggEuieSr2mIdQQ4kHtO8DKrT5j9VpPoayGg3zwuXIx4dzJI13WL_AG0YszFj_pmSkTHOo9pMgReFbMZz44UdLC-ZaMBqLOONvSU20mguOBLQFP6aelTh7vTHYYiSpiHoMYJLpLIV0ehQY5npg1gGOsG4IWDww0OAc9t4IGoyDCzZ03687rqvr5u9o2MR4WOWHrwuqd6lnmw_lcljIW6dMCwSumYoH5i3IUivV6K7QS7VZWtNdNzmEarAkiCtRLW9rvUaWxhTkzrOQGvMmRFgFhtag6Whxz4Qev0L4cyC4DdB9Z-mVe1rZBGRddJcTHudNUaGDefwtW74dRqMCSB91gZw0h0F31HMYQ1RrtDi6DBsCoqrnklsQJGN1lWyg4OY0lxDuSUaa2OIqREloMFZsMt7Rd2vZIJE3hZrtxnTL1fWeg-s1hIcdzeB4XLl21ryum_UKbqwNSn6kGSJ3XGta9BtVp6h9d-pxA-ltiFmzWoq1lIvY8At5ad_KxY66o8gGwM591xqi13p04eOSQsYmLB40tOrEe5UvHDD1qjNjaPqT_VSJtIPaYP2UwUo1YAkkT9U7-yuNbUOqqTYnIgEbrKsD3F_dqmDYBblCa5I_sr0u1Wm4PIhpYR_5KncRpZDwQ4gH2XOqtRAL5BF7mE-arQBLRtzN1qKnUcGSBklSwSYHapm_wDq5WGVRYdsBpGm4koHcTLQxhLRkhWEXouioNJBG60VpqtcSCQIzAuuk7c2esHOY4yGngBa8E4JYXNs7HwosCiZeNQnwsVGoVI-oOa2MrFGOu1p-lwIzYXKozDUwzuTgIXZUHH1AXCxNoR1iIJLhEtOdU_2QvcULO6YBnKzom0BroAtzKjJHmRc2Wo1Csc4OBmZ5WsFdRAmNWMqWMWONXu4GflZxrFKbrHWbgTdaaWY8nti0YCC1OzrSP7eFYNTZIgjkTK0L0qxgNGBdQa6bpYCJifddZQXnURERv4TciapqAFiHLMkSGY42BkWTF1aiQfM_hT_ABZ0103DQe2YNlVvawcHgAWIyrJiGFmkg3JsrROs7Sy22QuVbljFUcXkcLnWpdI6o9oMkRxF1AtSqDTx7FTBETqnAxcKYdtAE7t7cE2UUXtAaDjykXwWvtEwqm1JwOufxspTVKc6nCI5JWW4u9wnzyjQAybQQsi7D5xuEa1pLW2cO3eOVudJpqROoCAAcDhJiNlF_my6yCzoIvEJWaemQZ022krUrDdRBDbxqIiQtaizySSJEZQSnVE_wsZ2uKsJgjgWhasQoMOwZWdahm2bcHO6v9uijSR7bKVnFXvJaSMjIVRGu-BFsYH91x5NMhMEEm0RhYxYm12G5A3WW5VqUFwvAGy1BtYHNEnnddIizXxMEDwtUCqcgASsUZ5JOkH33XJ1ijSNJjMxBWLcKo15bsQPdVmZp9bQTAmco1RbOhxjURdaTU3PvEGxmFT-wiHHc_6ikXSVSNLgbnISms1R-cXzKilNQtAAkccInqDnSe4W55UwkSbcgzAVSmNzpDtLeeVNWJGcEkRg7LPZQaQFqM66DqnjZMakhg8MibHgqpuHqPkWuRayM6RgLYn5ndVFg8adQ5XTP0jm3MgRfJWPBVshptKlajtUEQT7Ss1uRZhIEgEHzdQzQgF5tLveyJWmjTcMHImFLWl2VSCNQA99lmwOCQcfZWClMknSRI2O4WpRrpz6jTn2W4xybWW_cYXWeMLYcb2WgC6QRJlSiL7XBgrnY1EC3_SY8crlXSOadLsfKzoOd-3-VBppuIE39kQ2oAAzYKqdodcx8qCgIAAJuridgCI87Jelc3tmBCkFWumL92yorpBILrk-UxL4djtJ-mCknbn6ZzdMHImUtJ2dhG8QAkpRL4fMR8Ks1weWg8cpqwC-bOumqE6XC_wjWRS3MIzqhdAG6UDUPEcrOjg4Fo8laiGEwZwgYGYv7Kh6Uai42PEpBZr3EwSB7oCal4hEwA4aoCKMmbEQgoTpOCZQFpkEEQg4MtmI2RVA5zbGAiEfb_dBEtmyMjpABbcgKrojEDPhJEp8gE_eFqeaAW_AU-rKowNAnJGxVSmAMk4MyilqOuItaFKtSe46SpjJKZ7ri_Kiq03FrbHfdanSCXSb2K3BRpiAcrbnfVmZkjdaZOTJJAiSlVJ4jJ3XOtwsyTJtsubQxDxwgbJkAgIB-FkBzosrBMmTKt9WKB0tkiV0jnyrgdxZIvxTJF8LfpOq6IIvZY3sPIbHHJWtZ_oTeeFpqYenLbiY5VxWmkQYjCljkcxIzCs6ULnOAgR9hDt1mkJAERfws-tiZiccyr50qtIhzQdwrGL6ob72VZcG5AJTRRsgG_ygJba1zypgDbE5JmxCngoe0Fu_K6XwKO0G1-FF0AbyP4V0MCZnlaxyv9FLtJE2BUagmXHt_hZaPENM_laDF3byECGM84RSFxEiPmFKpS8EAn8LLIG5kn2Qc2SZN0DN7trIOBzwgdplvC3GHVAABlStzuIy5xgW8JjNpmwDweFVgVLCRdZxUXEnbCgpJIG_hUKT4ITxNCdRuUVRjQcFAQ0OPhJAQTgCfKCrQSAZHwoKNsciFUqwEwtRg88LSGO8qLHNENWmlBERurrOA107SqihEAAlUIRJt9JylTwwb6dwZ-FFEOvJ5U0woceFTDMOq5CF6NMX2VtHTOCoO0wRYKhHAqDifKmrjnYgqomHbGyaYUiZ3WK0UuLYvBTGtI6ocW90Ywu_HhYqymN3Ai11XSdwS6WiDJlDBFjOApGbcEXxhVyvdfyReCTJcBG_K-05R8qDWD6iZgrgGaQ3JmfK6cZqi8iIzwSuilqPLWRlZtNZ2kk3E3yuenazcARO8lZRzaeltgRO4VbkXps0ag02_hFO2BAMmPsoqnrESGEkf6VUVpvcHXEi1lZ0f49CjVLTIMXHwtbBvonW5t-6fkq4PQa8NIGnVBuVlMXBBuLEZWp2liweXugfULX3Soq36D_qnBU9biNRpe7VpJPBWc1Xn1-nBeTB9nJ4jz30_UN4ucEXU1rE39OQwG7BOyIy06YfVdrcXN2tdZwehWYAzSWlgefdblGatUd0NNgc4inVJDd8rUsHhfqnShphx13z4WMTWOp0_pCWtJ2AGyJqtElxEsHEFdOMaaXNOkHTg4KWJpqbtOozO0FOPQu11jAAaBjJW0-uq1RAIOp0Wb4Q9eT1FciNUmb3UROlWi5yCkZrW2q0Nj6hmOFpori59W_0m6uiPW0qT6Ikz8ZXPk2-T62gzp6x0CzzMcLOdiBA1XaAOVz_AMDvYCwzBnIAW9tifUqVF7WuIBgHG0LKtVJgqPEOaBvBSeo9Ki9vrk6XQT2k7rSN4Y1rbMEfublZaMaAcA8kDuJAI2WaMnUV3sboJBE2AU5eLHlV-pbqIYA7xOFwrTzqhe6SW2nZRZE2jS6xlxzOyjo5rS6q6QNM3MJB6fSVgGAtva42VWNAquD5IGi0-60zXp9MSRw12ACrYwHVMwALxC52NaNJ7KYDXZAwFknL9vT6Oq06AJDsi6uL-UfT9AbMGoDcwukz6297pavqVO6wjlWzPCxqZULobrJN8jZSMXpfTqbMyPClWGaGNseLE7LLR6bQ0AAkb6-VmjSwAgwJB23Wa00MBa54l1xgKxYaswCk7S4kgAQBdZ5Ok4vF6jQ2k5znw51u7JXGtfWOj0zKbg8WE_SR_K4brT0h6hBa5oIeQAY2RuNT6J6ZxLWAyJlxxKxZ9aT9c1ADcW0kcLjb26am6rNN0OIg_uGVFAVnMdFgcAYWWmttUtpkuwYiU6R1OqLPIgZngrNTk71ADcxzJmVqdLE-pIc9sS0HzhS-tMlUFrAAQHYtuqJBsOvI54Kzo10Qw4y2L8rVVaRMiDJsudinpzSdp02ByERpBDoGEnrRK8aRaOfKWhKbZaWtbJ2KzGdO52mAWwrhgTLsmDtKYuNFFwc5kC--yqVrfsQ23hd-sc_rPgl2rfdSq54dsTcbBQTsyBAkmbZTNDVHud9WBss2Y1Ih6kiw03wFlcQqPkkEyP8ATsExnlEQ8NtONhsoS9J6w10aT8o0JBLM75CzglU7XCC4DmExEzqO3ynjRxwcqyihIcxo0-8reImbOIDQZ5XNDhx7RNpRVmuLXCO4chXV1rYNDtVzafCsvarerpIm66UW6Yje3sslbWEBwAYYVY8O4t06YOncrUCAOIkCAON0yJ2oypqcMtPCKtTOkRa5tCy22UxAN_JARGhr4HHmV0iucWuv9O0gJRKsXODgDBG4XKxZGZ9t5_lZq-JXcLDu3JCxc-JoNe1wiLixCzK1KJLXTYKtaIcBYCR52VxfD6u0dxHspWbe3AC4iR_qUUrzMiBbEbqVY5hmLARclZdD-ppJAm4kWyinoOt9MKYjU0wALAlRTkibjSBaVoVBkM0_dBroEU2txcLrNc8p9Zfn3lbNzpQODL3glS9I3Ueo0sn8q8UV9UGedpWlKXknz_ZTF1UfT2nPKrIadLZJt4TFM15dMnKjcutNOYvJMyVGhkAmY0nCCTiAw2vuJXOoyVHnFwFzvSxFwJm5gWsstK0gA5pkyrDK2sqm07LrILs3_BKo6oNvpOJ5Wb6qbWwZbnyuHcdXNHcC0mYWKHBmPyrEHTpDT73VwAOdPbbkpO0sEvmxBnlbXOnVIc2xMTlMZxnLpniYlRZE3GGhw3sjSbhqkSXDY8Ik6RJGqCJA3RSusIAjwsbqUr2ktJbf2W_gQNJtMe5UxLccWuHDk8ZvfZNUOhwnm-FKscDc31EyZ4VjNpidJteb32WgzDqzjzskMX0A05F248rcuoUWkBulAzX6m2223KzV8PTcGyXcqOkqnqiLSBKiubdxgglZTO2ylUdpaI2vClirsGshxFlrNR3qCZOIws2BqRJwYSK2MMzctW-LFbabjDRNuF1YXDpbf4lbHajqBhAlQzBGZ2XPlVjPUyTC4WR0l1Mt7u0zZZVVjcA2AwpovJDRfITQQdTw2xBCv-i7bNtMjKsFGNAyJK0FIEyI8-FmjhMkQSsijbSY9k1FBPIlWU1Sncwf_wB5aYvqj_pLYurYk6LTHiQfwpCjYl0yYKiOMgc-ExS6iHG0nPsiqttBhDTgTZIvQyqzC6RBjuErOK5pkm3wrEq7mHbcYKqBDqcbBTsMx-rcKiwIIEC3KoDjY2JPhQAECIMKh6Qk9w3QWLrkZ3iUAaZkkwOCgqwIGc3VBOyYanUfbCCL3ajmJQx2ocmy0yNJ9zOfCpirO6JsBsVcmBo2yoCG8brWAvt4KlamIVD3wICxUqRmCCY2TUgDsFjfkqLYdrzbyVpGmm2WkxJ_hbiXqOAwcLTn6oaloNlrTFWkRJ_-lURqEG-6510ieo824WGjM3mSFBVj_wDuIHEoFP1KYQCOBPkpg5o1CJHwrDwdOkSceV0Z9O2NoVSiSZkKsgJ1YgrH1ueGy7MgK1mHF7kWwus8NWa4BoAtyAr4HYA3P2TUpwYMfhRFLTMW3UCuu4y2U9WICQQf3TCljfwX3dcTxJws6sUYQP8AhWSpVCbHhacwaTMHCzgrSdIyFYKSA2ABJ8KgAA7QpYC8wQN0CF41GTB8qgsJJ_uqDPdPCuudHVqyLHnZVZVAIb22TMbcQYglTV6BphvI5TQhcLg5AVc76nq1Ek4jCNzw7WamnjhTArmxtZZo7AGFAG5_03Wr0Os_NlAQ7aFpiiZiVWYDHCY5U1v8Qc4SSbJrQGoHssmqRzYcQDfKyhhscQqroECAmjrA2UQR8_C1elFoEiSmlXbTxaPZPUUaO1wAUzAzWHOVWLf0INhJvutRlVpHyquGuInCSGATpyqp5mCBshrmmBwriaoXT_yt-IE3BFhuFAdcEWWdPoFsT7yqE1ci6CrTPsqA-2cKUcJBSClw0W-6BC-RBsUHQItdDSHEE28oJkAYuVmrogZUNSJ7pPsm6RzWSZMqUrnAWKhB1wLY3R2hGC9uEL4IdsVNcaX1SLC4TUfybqA6RYHBJhfbXt8oQ3mSD7LN46qTvrFgLbBWTFnR21G-mBkg7pb02m-XWORwudZ_EpYWEBtyRKz0WH1AwIIIwOUZVB9TSDAgxATVlOQGiZnyVGwBcXTMKqenUbryZ5lQaKTocP3DyVUjb0pADgIiZXSYr0OncHVe3I2Bt7qch6NJjYmCCPOVEWfWDNBgEbhVlejU9QnAKqxQU9TgAJO6VpVzWNaNRMutErOUYOsvBu28R4WR51RzXa5iHfu3BRv1MsElsudHIUDN6RrIa6QYubIn-IVXXAmA10A5lajNtiDaArQGiwvcq2Jun6no6dfpy3T3gTi6WK8SpTD6l3do4ykZwj6ehssGq-Fd_Q6m7UYLZ8rpO-0UbU1Edtv4VTVKD9TySYG5i5KYujVaQAAc3jlFeL1LHepJbEeUZQpvLnmcYUnXhjexzTTMNgi3uqov1atQkQYjZRdef-pViKOkDeAZUrNrw69M3N5Im-yzq6xCoA-CXLnjWqGo391jNtKvgq17osJ9ypitnQtZpcS1od4V1NaWU_TrMtYC0KprfRewtc17g0H6Wxnys4uo1HenTY5wLbnB_ss2K87r6jrVCNUW04nys1N7ebVZpHeyD-0j_dcbHWestaoT2QGHFjdTMb1MuFNol2o8nZQnbPUqPL-3fEIrd0NdzXgECN1Z2serUBaGujyW5W05NvTVwwj_AFHaFr44qukOwQDzlYoVpgkG14XJ0mN_SvwdmnK0zj6j9O6htQaYAOJPK1L27va6SBpcY1CxBEXW65W9t1IueJL9BAuMrMiPRoG0tiBb3KjpBl2qXEgi5kWWap2teXGHXNzGyyN1FrdOogki8KNencWh4a1wxM8ndU8F7A6jLdVxAOpSu3G9PL6ikx7gx2-_BXDk2hUoNpObBcS5wBLhlc8aj1-lpBzmPBgAHUDiymdqv1dFgY1rdLXkyZcTI2U5eLHllrmVbxptfY2Xm_F0Z6lTvEdoNiVF0WsI3gm91hWrR6lMCMcJkEqlTTTAae0HBNypYo06xc3SQD5ISQPq0U8aYt3Ji6zucGtkAX8wkNR1anNMzHlMRppO0BrgN4PlTG40CKbdO-ASLJ40egYHN88KUaKb--CASsfU0aoJ1EgRsrmnqbarW21KZiYNRxLiZ2VaLpMB-Q0WIypopTqFrC4tm3MlPWGxlYuaDERaSu8nTAOYGgX39wVcBLwSQSAfIUEyCS0XBCimqMAbJsANlK6RkrhrQHSMWssalrK6pFj-7hWsW6SBqB0mxjKwk6IQAAADutNewtJ8tvcYIWKoO06nXOlogXViolxa8BxLf7KMynYWugtdPgp43DkxyfddJdVN2fqiVm-s02LDb8rFY-qioQ0TadlcaaqD-2Q88QFvjG1QLlxmV03pNaenc1ryJnysjbQAA0k6Yv5W8SzVHGDBt7Ix4Lnhg5E7WUXTNcBpIIObkK2dKqGGCQ6T7LDbXRcWsbb5WuPYZztIIkFy0HZUiCLg8qib3aSSTAmVzqovfqxC53sqLjqBgY_KziEZ3PJu0D9p3XO9BnOMgyA07QtTx0ng0iCe2TJuqao15c4Ni2ApU9ULO0hw25WWt-Mpe1jjNr2A2U1Vw7tMAEbysteQAyQRqz5wqmmZ9ViDCqS9rtfoyAf7KY6KsbrdcyEVakDIIM-AUk0amy1kx4hd4laOnZqYZFzFlfrms5gAvZWzUNTyRIg-VRqpAFokzGHeVTs8S4apvhBRrhJGDKJ9AtyBYfuKKXBlpiBhZqxrpVWuF7mFG_yHURLYDjmEVKpdpyVmrGQsN8lc6057tDSbgNxws2A0X6rg3HISejTSBdfVI2jZdRspmGibyI9kAeCDqmZ2Oy51qA91hEEwuToBdDTEC9ysUEPhswFqBi3U0uDvha9TwBM3uEUju0iT8BWIWDqBMExCusEfOwWW4hqAJAgCcIqbn6hEwL4QIRn_AE7KUJq0tLjfTgrGZUpC8F0NvHCsrNpajgJsFvUcX_T9k9ZRqnS53POVMWK03Ne3UMxsFY3HAh7ha4siYaS15B4wi6tTqw0WJjbhdIxRcdZ4HhWoWdEXiFhVKUkTEALLUVZJMwfhGlKelsydspFWp1NVhdovdBqa7U2MyilLdLgbx7qijIBbaDzK54jYwAtIwfK3ErSyBAF9_K6yObUx4EmZK2hrOnM8IJkSOFzv6VnrA6pHyFxsjcwIkh0Qud9aVpkG2FBUiSYJt4wrIGpMaJdcwtWi9MEwQSOQCs_RZtm57t1q1nSkAgjfNlO1KHOe0zaRAVDsZN5IgRCzU04bHk8pIizGi5Jt4XSMue8zE2H5VtHD6QYgjyswDVYkfKBi6BYSSEQgAnN1FUYO6PGxTBQvgCDBVQSfeEXwQQBNwhrg5uoKaLUnDQAc7StI5xAIyPCDgIInPCYHD9NrTwrg4vsdis3qgNIvf2Sh2uLouYlILtMuANpVVUNYXTA9kTcOwgSOEhqliJVrPrNWEmDAhZaQcYE7KhdeoGDCgemN5uV0iVakRMOMreIo7Nis0CbmRPF1QplwzdZWVF4DHAmQFmxL2nUe3G_9kxYVt4uVFXotJgat1YzWgP0-3hdYl7Bk5yZtK0xmGa46oiTyVUtE1No-6mtTxxGqBcKVtPR3ABc8FYTAuCPdQPYi8Z9ldAcYBt7XUBbAAnPhagaJEnuXVIJ0iFEs12qWwDN1NTMFpgybnAKy38EPjPytscVA8adoVhY5jw0_8rWCzXgiDg4RkzmQJx5CiHDrd33KuBy7UIwAp4qDrCVKb2RriXZ9isY3fFmXjnddIxqxaBg2RCu-qyyGp2cAbKiwZEyqCDYwBKAepIAItuVCdov7sm8qgMdpcQTATIqrZcDF4RMEQDMSFrWbFWyTE_ZaWU-kjGVGk3kBhH5Uoi46gfskc76DBBEZ8qtxcWz-FArgMb-VKADfAM5Cgk8wbDdAwI1FFFzdJ_Ksc-TjJHC0ynIJgn5Cw6wzTM7rUCh3hSwFpjb7rXSgbnn2WagwLSoA4tHAlUFh0-yewUonUTIAVwrUBLTGUBbEgExGUpTuMAEfTyq512md1dQzAQbY5Wp2unBgbkouhkyVnVAEg-6rKoE4W2aO0XHyrVK4kBQcDJPlUOQXCZUDU2iTaSqGBEEQmBHDkKBA46uEFRVkRKBSZEoFcYIgx7KIU4EBLVK5-mP4WPoUmRZWr4QsF5N-FIaZohqVAwIJUa4uqVA1wgWRqXspdIMBT1qkc4iDCjiLaYcJkj2TG5x1_KAtDQ7BEyLr7jHyKBEOtYHYIqckuIiJFoUvbQhowBdZva6NRuPKxYqLnagC6GgY07qYlcQNOoXtZRhRoDTIsSRYKIvIc6HSCZxsq3D6ZbqkHwU3GknuhhiPIU97VSmHOeIz4QehTgDt2F27rpBu6cankAx4CqPRY8tJAnUIgLPvYrrEnY8K6w00CBD9OThVW-nUa6IdEbbpuNOc7S5pc46dvBVVj6otayHGXFsriuPGqh2uQ23C1GnMtRDr3O5ulU9auXhxEyRAWWdxmadTpfaREDnlakSmpsJLmU3AECVtFRrpNDtcSINpVHhdQwvrvLe0bxusWiLgX9o7ZkWzZWVmhTZUp0yDGckLfGsKBgYyDJ8LW4h2aGw3UdIwElbiXUkz2g235Rp5vUEmbBvkbrnfWaxCW1IcCAV0G6idLB3SeYsoKuqaTJHuJQZOrd6zIgY04x_ymM14XVtNAzEnhZs_RHmvcHOfFib-yzjYkhxb23FrWWWlKLb5kkc2VRtpOFHTeDwBlGWvpnPNQEmG8hTRqcS2o6nTIIzJGFNZlCpVFRocS7ggjCi_lXndc2o-kabRqZzvKzW_ryRRc5hDw5rhgSuV6bZvT1mXEh4WfhIHoui8GPyst8Qs9gIFwYjwlbGnV0uDREccJOlj06df1GATBI-62V6HSAdgJhwvK1ri2u_zKbWzJ_hKRBwgxOkYKxi-vT6SBTl40mABCjrO3sdBU01TJOlC3p9N0lZr3ASCIgWXaRzelRpl4JkCOd1nlMajXSrlrhglY8bjQQ6q8OAP_wCkbKUUpgl0tMHBMLA2dKS4FhA-95UamuqQ15cGgunBOELq7gSxzQLET5lGp13WE0XHtLZHB_lcuXbpp6vSh9OmPUcX-RKxZXSV6fQ9L6dEU3jsyLbLJsZP1CiadZ1QMgBouTN1y5NR5dV7qghxDQMad1ydInViX4GrlYv6axDULDMwAVk1qpVntdZwECQpf7dHdU0uAManDIwjJKb2yYMNiJKXpALiRJaZBtJkFVU6rwWEnuA2hBmcL40z9KhGtlYPAiZACmjTScC1uoXBm6l7a-Kh4aQLgnACwcauKuuDdvxcqT9r6q90tA3iy6f20g4aXDk2WKFBIe5rhqspRakSTAggiBOyep65gBebkZsAs1MWY5pZvp3MLvxvTnV6QjBtmFqpouDXO0kajmTskhHOMkizvA3WW4lUqkjTMDEAYVsTUXsDmw6Y2OFyZ_1hqkMBIBJcN9oTdWJBzmEEmfZWK50v0A2GSrSxFna6IMHJWCX4o4tdEQZwFltF9MufAIEIzI4EgWg7X5W43KoZIDf3DMqb2pS1rjDh3bK1KdoAbMEOIiMwspglveALluD5VF6JJgRYDjK1LVbWNMyRG0LprIsLYJuLgEDKzKuvQpaiLXJtJXRVmSHgmInEp2lES4_6SssqMZpuTcYKb3iKAgH6jdZ-ujQx1oi3ldIqj3O1EEQORCoBfLSSIi0coJPOppBuPCxRHUSYNh9lmtIvcSe2bFZTB9ZvvAn3WKjnOBa65E3nAUHNAgGTYSIOVPo0NcfTHOTCzV7M55c3tB0qa1GZ8vgl0XUxtVhmYOcSLFEUILTDcyLQsgMILjI3ykJ0q1vcJEAqumxZj3MxcFXtda-nc2QDk4tlWDcS0NAgRz5XWM6dtUNEGNULU9ZO2HiTYC5utIfDrAzFlRanMyAWAeZQX-qQdslAT2yACJQOXAMgE6jsd1m0K1jQQBklZVoYNJwVrxDucSNged1GtSzDXXPAKzVlQc2DB7RjK52OqPUkOETbe6xQKZyC4O4SejdQGohwIaDwusGwObpgnTp4VSi4adxHus2EQcCWl1hBXF2l1wcTnCx9VVrRAA91ql7HUNIOcymImahgTGdlQTgD8hUvhgYEiPlGYzVydpM5CNYzPc4ESQ45woVCpUkxtKMyi02uInylaTquAeADIj4UsE24cQIHhTpjl65oOgmxCvrIF0GAUioVHEuJIieCqi1IuIF9I_lG4qSATAvmUa9IZfJOdiqzYs3uBOqDELWsqGYabla1AgargweFzwWY8NHb3TsUWWwfVMAi3hTV9MzvdnyjUXZI7hgo0uz5AQM0SMzJ3RpdrQBBkjckIy2dMQAJJCI1sAIzFhC3HOqABskwJ8rdSqtdrk3EWlagEG84K58vdEXsg3sFxuVuF0B4EGJMXXPGzUGabGfdXBZrZzidlqByBMXBPKA0maiYcTHlZwaC1zmWkey0xfSPbMbELLUNTp_aeVfhVQ1oBAmyYxXCZKiRVpMGwWusMdoNpCyjnCBIvC2JYJHKjUgkubTkZ8pUpWODN77qCoPGOVUPgiCRKKpTu3nj2SF9c4ASRlBMOJdcQf5UPFmuuMWVRU93dE-VRwvJPwVAw-mbytQD6gbqVKLogHjhZwh6RJAIGFVVHNzwqKMJnifCCrCdzkcJEPUMtgXJ3VqTpkqFwgHPlZrXqTyGi8ygDXeYQUp1Ppvi2FZUxemALrtKxZVGuOICzsaI899j-EoQDJAlZCPd27lFxANGqbm03QOKdoDrO3Uw1opRSyMmyqUXnWRFuVYOaZGkYmfZdJWbNViBYfK2wUgSscuq3xOAA25ypjQAFpmbKTsUaJulEXHS7xKwuO1yTF91NQxMtuJjZXR2ohg7ZKsDtcWm5-y7RNE7ndZu_DY45EyovQYxMKIYm8xnZa1Xai2xAPspKxyMD3YXSMtTSIvkbKgntA4JxwiDOoG8wkvYcCG3KtoXVaD_AAsf0A1ku9kxrTh0kWAVZM91tpQFo1DzwoCAMQoKNcAeVoORObKaFcIdmBwrSdEcQLQfsstcYkLOyIVas1Vr4Ii4O6rmsbumJhWQNTMmd1pzq7TF9_KIy1APzhSus8TdF9gpA7YgrRXOIJGkIA-xgiRys6C0EbIO0zM5QcAAScSk7UKkGFcZs1wB4V1PxK5padoWWi4umgEGD7poAqWPjZNCOcQ6QFBTWDvhAGiWjtQO1hPkoLNYBlBoEhs7eFqKcNiCtRndMAQCT9laYANwQLLKYOXRJAWpcYEtvulujhM-FlZTWixutKcGOCtRKL3dxBsAlQG3-pSUGNIdC0GY0OAkQgo3zYKhSdOMpo6bXKgm5knJU8HFxaAFQHutH5QJ9RvYhYXB1DfKnpZhH3PKshHSAAVb4UGZk58rJjnAO3hRZC6ouri0jpcZ2UsY8GRFwpjX5ELRAj8LKQdUbrbtH8nqzrlwm2w2X29fGpatN_t4WVODJAEcyjTibExvFlU0s6g3IUvqak9gaLGLTbdc-Q5gA7hAtMcrCyaLSdXc02jCJjRRaLi4iZ8pjUigAaxsg5UbI7S04AvMoHpOM8jwk7G6gS491xwukG_p3tYQNLQTN1UamdQaggGAMkhT-laqcOkwRG_KYxVRW0Ogg-5V9PFKcmqIMAfdTr61Lrex00yTHzysUed-oVmsqR-6ALKNx5ji4ls4BViwj3dthebErWNFp0pZBeYnOywzy6UIbSc2CBseZVmuZGvLKxkDSRlbinqVGOaKRmR3TstZqaw9R0bGhzmgkuH1A2T8U1jNM0WmDEi8hREqkuMCdOcLUTCAHVJ1TFlqqsT6YIsC4ZUE6jiWiDfKDD1DdLtU3jBQZa7O3UHEnhUChWLWkGG7QpYkaNQedIN_KLO3OoFwc1xvmwRh5fW9JpDnCXe6lg8R1A03yRIGQsa6QHU4AIIDt5P8IupsZLsBs8LRrexsMaTqBysMqsq9obqAm4Wa52tDusJae7unYIvp2dQKocHB2oGY2hL01gVKXp0XaiQC7H8KN-POrNc-iXBpLge6Vx5Rt5hs-DdhPaAsf0osLWSSHQTaUrUvwKtIS92G7xustswEVeIsER6HTSeDFjAW52nLpu6dwFRoGRuVcc3oU64a8TMeFr2KR9Ruo6LzyFlY2dJVD2tBcTbZY8alx7XRVIIHcQDutcWr3097pHa2Nc2Q8HfhdWPHsUarxSgEA5upe4zrZRsA477lc811lbmVZ0hoMNF1mtK0qrtQDbCMlYWK0WFp1Bxc7EhRpRg_zBNy298odrOqGzuURP1TMOAEknN1mtStdMMDjrb2AS0t_upbMd49Khpp0biSWwHbBcamdvD_AFTq9JqMALmNMazYE7hcfro8NxBrwxrWibXsufJY6vLXudEhptIXOx0LTqEua28EXGyzBqqO0Nbqa3EXUrpoPqiowOI-o35CbWUW1wfqc4gui9kIs5zY0kYuChqOoP04uVNVF47yQe0YHCU3DseNJmQAPuoRtY8Bom4jBUtW0zzcGJnKxTVaTzqAxOyvsanbXTfqBHCeNAYImTiFlNQqPiRMW-6VLVKQlrnAEQNikqxUO1CASCMFaU9Go51xpHIK3K51paYNxHKsc3af8w3ieVdxYZml1M4sflVpnfJe1xMXt4UGeq8OLhyclSzUzWWsBBJtNpWPBEmDd0kYWpGnOOsEHJ4Sr6i8WIbI4ndZsTCkiSIk-BELH-mla8gEA3zASzV3DRLQ85Nsqsn1NaN_cp9blAO_7SSb-yYuCBuCfC0Y4Q12S07Xys2o0UjJlske-EjNra2pLS6AQDhaZt6NTAJMyBE9qkTW-gC6LwAJXWNWtLnEWgX3GVtLdAgS20nB9kZ9PhuSR-VMaMJJkn7cKZ23uNbKukmCPGo5Vq2i2qKjtMRbKkBJhpnuEi600RxgAYaMkbrNES3VkT4XOtJ1GhxAbJjKfBGA1oIuMXXOoDXFjSDgqIMi5FwLTKsFQSwkg7bpYsWbUMDMbDZZxrspcXuvAb_KilDtFh-NkUWuuSCZO5WbA7CdcCQJuSs5nS5L6v6jmk9skYEqyLYrSM3MW8rPbOLhwMOEgjHhajbd07o7cTuV1lYWBAacDZbFaVX0-7BxBC3Ow9NvcRjgypemadrobF7IsXbVkkbcALWLfDu7YAmSl_SShUe1zdNz5UzFJTfoeXbTus3wb2j1INiVAS7TqIGLXQSJLGkQTvhZsEqji4E2adgdljx1jM8WBMWWa3BpvJIFgdrbLMaa2YtErp4y2UXajH3WkqlTS48ed1m0iBfocWkkztC5NEvqLjYi0LOOmqNeS2AL8SninBLm8AKjmvDRmQDuLIhWOAsCHEnEoUHuIJAFomVdYRdUGm04wou9oPIcJDSLKa0g9ogGL7WV1LJnRW2tEnwhAMAmb-FNaJUbFgAms2IkOGmxcDlaZsc14ae2RsoSOdc2j5RrDtGk7kIsMdJI5OyKJ7bDtJQdqMxEf3Ksc6sypLg08RldJ4yo5zS2NUEDZZopSBaZIvNiVgF3a0czlZrUCmBIO03IUa7nrS1-QbjaFZTVWvaBcStL_arDLjYfKNaqx1iZJOLqajdQcAAjFXpmfZbjDSTqjH2XQMOyIJJOwVDF14Uoi8l_EzuuFdIk2nInVpIOVmK007Hx5CmqcHIF9k_0MB3GccrOhmU72tK0Nga1rQDZVz26z1e4k8LNbdSi7SN8qaVUSbRG0rTnTNdD1Olhw6P3ZP2TCnfMdpPurWZ2UPtfPKa1YSA42zuOEPguFrppIiBqMxncKauKTfGVdZwS4mIiZQw9MSDH7bKwqjiYEWSgB03mSFD07TAm3NlYHD8agYPCqGmADeBsoHa6Wt1RG5WoOcYdi2ylCySSJiUVSnqZvjhEammBM_CK7W4TJV007XzeVEO94AyVdZZKlbUYH5WV1F_dJz_KRQYYtB-UDWkabcoNDSdJBN9l1njJ2PGLrc7CueDDdsWXOjnuLsWV-aIaXG-CbLGtOYXAzki100Va7jHELTJ2mTG6DjmIugamNB2W4izX62433XSOabnQfwufNriXU5pCzK2qCWnlalwOX-YU9EqjjqJxOFlotNwkgrCVYHEi6tQNRmD9lJ6KMs05Xp4-OfLuhEqa1-MFxkYwp6sJfEqYphmYuFBwMumY-FYzVQbZkrcZwzXf6r7iVUVBsTBglEL6lzZBX1JAIwVcVwMybjaFEcck4WdaxRrhqGA2FdLBdDiOFayZpuWg-bLK4IIFxJRHaoNrqCofeDmNlqXBz4Gxgcq0SeNQmCL8pO1BvcQMKYGb2yd-FUUa8ZEwrBVh-Vpiw82uFWUqg0jyVmusTdAAI35WQonP4RTYIgq4otmBumILnkARdRCkTHlBzhBAyZU8BMgT8LWDg46ZwoFI1nePKBATBGAqC50wcqBHAwI5QJpAN5PKAtxYIL0xNiEDBkTtKDRTYCBLf-VqCzDAvsql7hidW618TjCPfpMklZrRaZwTKkKpqvytSa52Y4vmwnysrIYEEA3wq1Z0Lmy633WozDtIztyrEok3ARDFzQ2-VaQARCRcEPAsMqodskSc8Sg50BBMmWkouFBhwspU-Cdybq6mE1wFmqWQIzKlaJcyMrJTCNMkK6kcTLfISlLJySbbKEuCDqBjdHT3tOoNTpmI2W2RLiGi32UrNQcbXvdYqOyLbKNSGl3C06Sv5TFkNcYjzyvt8fHMjGkujzKjbg3OM5RNMQQDEgJ0eC2eb8FQ0oIk6m2hSxUx3bQMQVxssWHlpN5DrXCNLaiYIdFvlX1ndqlNrtIJMC6ilqMLg0izYw7KiqBgADRIBEyFqC7IaNMO1wCtQb6NQHU6SBtutDSHAVNJAggfKg006pa0lsyLAKesX1ZhJcJaTIsSmLfGzp9buGuG4WfCNLXPcS2dRiSIU9aeZ-qv1VQIgxdsK4uvOLS11ydPKRdw4e2HE3PCuh3NLWRAg3sLLCcu0KhIBcH9x2hajJXVDBDe60QOVbPpqdRxrCCfEjI8LcTGTqusIADXFgxDleVyKgzqHVA8OiIsVJdLDscCGTMAYWkc9gaJ0i-xOFTEK4c324CIVjxDe2Sfsk7EeoZqJBODxdRcY6zixhOL5hDxke31DIvpd91WKt001Hk2taZunrU6b6bnAmYPhRhl60El3_d-EV5FahYuLTBsufIteZ1vTnXLWiIsSnkNJRZscjhDVn9XocAJnCNYkKn-fYEk_TfCljN4xVoLGvABaD53SRpt6FjhX9R7ttMeFKsaq9RtTUDg4-Flp5PWOdSa6LB2Sscu1jzNd_psMQuWKRzi15aTEXCNRSm59Yao7N1Ma1lqwXySQJsVWbXodDUaAIgyd1qG61Mdpce3eFWWyjVHpgB4kftV_oWa1uprpgm6zYStPTOa0kAALNbev0ryBMmJ2R0j3_05xJgm2SeF1jPJ7HT6nDTquTMnCVz8b6TgWBgdq2krHjcrZTwAXHSRgBYro00AGmBcnMrm1FSYaT9IMYKFptJu79wRVWOLQHfuP7VNBbR9RryT2jfzwos6a2NmmSHQ0C-0qXc6dp2WpWAqEhw0MbJbPbOy4UlYq_Tl1INqS3W7VJxK52V0Y_8ABgF40gkGQSIWfxaZ-oDmCS4SbQudhrLRBc6CNV4tlYxZdaXsNR7Wt7WkSAsf405xcC4hticHb5UjW4m9prDSROkXRNJUc4BjQSS3CVCAlrgbAg4CmLoVnOs0TIyoenonU0Fw3wUG4hpbqAknF8JjcO11wS4jblc7C-HLy0QJLdoRdi7XxBueFrFtixJi9gdxsrkSVkqdzjLmiMTwudxfWqm4NbB7p_CLjjDmwBELpim6cOvInwFeMYrRJb2zJOZyrvbkYF5xxMpQWNBbAuY1SqEMavpJIvGPlFlZOpYTqcRcCYCXuNM0ahc2zpWZDEXkm_8A3RAV8a3BA9N5MTuISpqFVxDnHUb8KLoNcCACc2usWJU3Oh1-3iEc9MCbyBB3UU7XFjScgZVahafbaYgWhGpyUZABmQVd-Nns5re6-YhZxk1OoQ485VYrUx0yZFlTpdlQNFpkjIKYzjXQqH_USTZdY1WvWNMRDudlWVWt1MzfaCqgh3aSXFwbvwFNaUYQXQBLdvKNy6o8BzbNA91eS0Guhpi59llnVHVSTFpmI2UNS9Q6yDuNkppHuMm-SudrUqbrtBdIHKz_AEvqVQxEmJH4U-mFdDyCDcJqjSHfy3flTcGk3ggxfESrVx1iCTAj8qIFyQNIAG4OVMbnfRXk22vlZ1s7HjkgSno71QSSPqOJWcQ9N5kkHa5OyrU1djtAdBHduoapSqHUIkjf2WsNerQAa4NLte_styMqE3jEX4XSFVDtZdiMZV7ZrqZDqhtNovsiRcETt7LSaZr5gkxwVYsvxelU1m0-ZKG4q58U_nZarWlqMgZMHZcrFVoPyZsLSFM7LD6pabzbC1Qrn9rriTwVm4ibiBlYrpxuo1TkC04hc7NdIg2oadQScDiVjxa2U36rxfyug09PVAjfjlaF6pPpgk3nCERMNdMyuF9HNhzfpAPKjcrqQk2-kI2s8y2MxlEA0xDoF9iilpAjIk_wriaNR1xAI8KFZK5GrlpGQlY-oyIABKkaC53VVJpDSRcX2RdK54OoEQfCwEicW8laTeylxBIuD4VCCoeLblAocZjT85VVZpIEzGMqCjAQTGEAc_8A7TZGdRcS5wMGAZCMLtcLkG8_ZaiKtedVpJW6LBxABMk-VzoYyTOhZxqKG9osL2Tx0FjjHmcJ6njQIkXnhPFO2Q6_cdgjOtLXaTpi54SVpopGXGTHwqxY3UHS2wzvytRhoBcIBFtrKhy3uEwJ3Gy3B0Qf7ylCOHdBj3XCty9BMAg4WcA0wZtE7rDaofDY2N0zQ_xfZBRn1XMLSW40T234sAqx9Tc8SJHaubYtuQNQHKsgo6QIMrpGPa5pg9wscFZya24HS4HKfSqmoQ0NmN5VYnhRkbjlRK5zyXE55VX4AeTEX9lPGokbPA1GN0yFUmMTjE5UvSTtxGkwO3dE-rsIgkjdWJfQLtRsLYWkKw5tO2VmqtTFrCysFAzS3VMKoLniZCgDTrOLKhz77KCTSSclBpotJbJ-qU1V-4NGJKM6MkN-mT_KqkD3AxtwQgNR9jf7IIvABAlFhS4fI4UQJ1NZJv5VDzMl0SAgbUSIJ-N1Z4mH1H3ErcuI58NkyJUpOzCpImL-FZegjmx5Wel0mrS0neUX0S4zJm3AUxMdTeZuqYZ1TgoYpTcQL9y1LjNWY_VEgrrGCVTpAIvfJU5Te140NUeTwuLajCCNyUDObJyYhb-AG7YMz52WGkhczY3hYFWvkAXBG60mHDSCDM-FPUFwIdcwDwus1mjLWxMreJKDoNws-NGbB91dVznAHHiVNAiHRcyoKMECcFbnSU-TLiBFlpzH1YaQd91m1cTDtxZWJi9IkfUMXWtB1ybYF4WasEgu8BZrc7FsaRCpijH2P91LWMGI_wCN0alMx2qwIB3VYvSjWgNH7VUNAbMWjKYBUPkweVrANW0RZRQcYPmEQswI3iFNFGt7dxK0KNOm0yfCupVRGm91WJNJVus2uk6QLiRINxlRSzqNyUDOsBsOVqGiJEDPlKCHX8_hRBMBs7oOxBN1KFs4zwqC-YCgX6biEAN7fhUITEWIUHFxgcC6NSaRzjplTUwzHQRIlVGhhBFgc7oK0xJGFRcWvgbLSldd2cKJTXjiy0TolWTafMwsgtNx_ATFU1NJgZWtQuotJRqQ8xtA5TTDgkkRhWOd66P8WVnSYEw4ornAki1lbYxOnAAmFF0zWWJkW3WkOCDEICZM7IEA02N01oHQTAWWSPFjfKmiQBi6mjiY3V-NaDXXwspVAZEfZWQISTIm_CU0pMOIOFEdIDbG_hWOvhS-d_hVgQQ1xAPypqaV8OFoWahGiN5UdIbWVFfyiJuSXTeV92-QJoAHkqY0LmhonDvZL0yVzTGmSQ5SYuuZSI7RaPP4WsiObSJABaZGCSpZi6ZzSHRbi-xWb21MGG1DLcYsFn8YuqMp6dILB5MpZ14x4MAwSJHB5XOLukc7SS2YBSrFqTtL2lxDvwo0tqD4dMkHK1KitJjnkdtp5WjttaNTQMEWk8IrWIaDeLQNpSTExt6dhwDZtuU9MbqTA0eZus2E6Ue4ES2x3gqK8Xr5c91jqNpJ2WpOmN1gcToHdO0KY2LKhjFtlcyGnqVAGgSJG3KzIvrIKzn6h9APC1rFUpT6ZPc6BYDJKjnaxN6gCoQW6XGAATutTqusYupIf1DwT4hZvdxTBxaBYGBgWWpcvjFqrbkOmNlsjQ2mHDE2RdQrsGDkZVTtkuCBAgm2yBq8ltsHeMLNi687rHHTAPbYEKw1lp6tMkjTiMKsNNBobERmeURqAju0unhQHQOob5JglVqRnq9HowC4x91FyPB_U2aGlhEXuCpZqY8xrtLyCAwcNWMTA6urMOpyLKSOkYqdV76wJeWibLV8ZetS9RzHS-Wk2MYUitvT0iHim4kh37oWb0saKbPTLWADR_qIT4rN1tM1aRBIbH7RlcuSzuPJqUmsaMapuVyaYngl51dxOLqs6t0tT_Lc0y2DhRqO6hkOJBtFpQPQd9IN4K1BubVYWglwnOnhBeh3ODgLe2VZ0zjfTbqpuLhA28KbrUilItp1GkYUaj0uneTvc7DhMXa9z9PqXaNRxBhdIzbbHt9MdTW4cQLHdVHodM4l173-yzfGvr0-mc7RJdAiIIsuLqamQyoY7Jt4WabjQ-HA6iABFlB2t0lrR4sjUWpnUYAOuIvhTFVBc2m5gDtFjnJUTcXkFzTriRYFV143onYWkVASbgxhceXrc6L1XTv9Vrw8vAsJEj3XPl03qYYXxrcS5wXO8qv5MvXsaNIB1yYmMLGaTt5ziGy4smDlYxqfpSmBoaXSYBAAOyn4yNW5CPMtcQ0hs2Dlmz9JEGVC5xyLWSzrWi1autgiBPCyrqYJEkEACPdShHElx7vgZWRak3MgyUiN1KpoBmBOQrXSAHaiTCxTV2gaZDg_zuolM18ubtOPC1VyNbJ037RP38LJuMtQAnVqBGIiVhqKNBF5kEbrWNHIcWkj6dlRXpiG9jslWMVV3_u7EC1hst2OdOQXaRpIGwKiKNbqbaAQZlNEKlTU-Q4EEX90pYnVeQILsDdZ8GGs0OMixG6srUqINzLYtkrXrWaR8sbc2VTxCpVBfE54Cz4JB3dpM5mVEM94gyCRsVEIyoRYYjfZMWLtcW3be11cUpcQQAPMpiNFNwJcXG6zWoUuuSBNpU1vFqebm5xyqYvJDjaJRixdkAS22xhb1GzpzMACQN1sbGQALQOCkTYq0yRJDVpldjAcYj4UxdKQAACJ4lD07akiBa0yVNatI0wLGBvfKHro1OG2991WfoNEiRFjFyo1HETEXndYrULqaLOPwVmyNJPpticyJUqp8z2gbhYsTQLzDpdnhDV6TwGADPsp9Uxc4OAixyqHZONVlKEqnVvAF7rm3ORQAXWM_Csa1QRAdAkWMKbqS6tTIA05HlGhBBBA22ViL0HQ4ZV0elQfra10kE_K3O0sVqPIh0G1o5K7yYx39UpOAkEy4pV2Ks0mDefKi9KNlpN4WmZNVddswdJ4Q-mBEDkYaqfVReSMRhWp4ZwAYCZI4WLPrUpWu0mQe0nCxrooypqcf27prOFc4asiTlM1kA_tIfY7FSytSoVXBoJ-onZcrHo1Nm0w3ZZVqcO2A2eVoVoHYA2GRlINTXag3cBaAewRP7lz5TRMTrDgfhc2oZrp3kZ4UKo19iRfkKkuuc7mb-UbDXJH2lUwj7i0xMAqOaVWLSYObIjM4G_9kdZ4UlzcmAOd0PI4wTewjKniRNwgTsN1FvTO8kkWVjF9BjzYudEqoD2kOtEI3rm6iZB0zyi7FnO1EDO10S0QNQmBA2RnQ-oC0OGSUQWtcwTHbmQUjc7CZqeVY51rpwBdsOjldBYNAcAZusUnagBlzZBhZahQ7SbuseFmt6eW6TsdknUT1ek2SCW-JC1LqtDGy6xus1mxSm3SDaxurjUrTTlxn7gKljZQMaVccr00teSAWjSTkrQdhLtyruA1JAkmfEKW0S1WAP0-yxYsKXtBJBwMLLc8AE1G2BXNpZv0gGTgQrBzSHPvZLBemLg5PCb8ZrSIdEzItwr8ZkSc2TEweFzdDU2w32XSdQWcbHk3U_JmTC6tNjayzrQOaGxY-8rSGmQY-Vqdschb2suTcKoBb22MxhG-NK0OaZOTwsXtVGhroAC1Oy9lcCSTFv4SkmDrmLypoYFs3kX2SM2Gc_cYCrIBsXJv4QWbtcqoqBpGSgkCAYi6gtT9ohUM4ggXE4ygkJD4i5witjCBnKzWaoTBzPA8qxIQPAcJP0nhNa9MWiDcEhUpS0GYNjwg4sDm7A-UVncAHfOQiC1k7oGbe4JhAwNzYCd91YHY6SMl0bLbLntMGTaEpOiBzmkHA3CnlDgtIADoPBUWwk67fCLBaNW5kbKaOMtmbKjgCRn4U0Xpt7YhVmjgixB8KxmmdcATI4K6Xxieku0kENHuuTqLH6HYNzGEgtOseeE3QKjZElWrqTBpKy0tyBKnjB28kX91YOJaTHK6SoIBItdb1gJIsRBKNRwgePlZxozgDBG1pBTEBrSXAk78piqg9tzJG60maRx1ETuZlDHG8TiVGfrgRi6Li2sCmIz5K3Gc7GYzeyVFA7WLyIXOt8XN7YyU1oRcA39k0VDtdseFr1m9dmAkgXEJGFBIgST7p3obtaTvC1fq4DsRMTsEQhBzBNpsprpkK52Bg8lTGb0E3Mi8wqwq1xnP3WgzXd1oQXkADZaMSqOvBxyshA0tF_lBKo8AiFnRTAAixW4OYSJsoDBJkKDtrqh50gSVLVTe4TiR4RccSXGwsqgdxF7IFb9RM_lKUrjq3NlNQrhcEAlTW4BIm6i4q1gbzlaZqrTGcIyqwkkQI-EGie2Bla0SPyFPoBcSBdVQdyDJUHNkHcq6qjDnYRvumGKCAC2x5VBa0b3HBQ1VpEdoIWo53uqkAAfwr81nSO_nBUacIi5iFrIyBvj7qGGbiMBaQ4GnCAufMIJ7zKzWoJz7omI1HQLLGYiRMkxZBNzpsMqEM14sr2H1gGcrU6CSSQ6DcpVwHutCyQsktsFY1ui36v5VrNFxiNwsa1nRM4tCMz0YiCd-Ex0GRyqP5QaJC-518gLXbRAOZUQKrpJEkTY2ShGkzMG26yqoiwmRuVsFsXmR5KBCzXbXpE_dZofppgGIO8qLqzjDSHGOPKuIg55LxuCvP41A1FxmNIO5T3pYtlgG-6WY0amQ0G2Fka6DiJ1COJXSDZSrOBiZI2K0NVEiQ-Y2h3KDbSqFhAyPKiVek8uI1EgzPwk8RoDpDgLh15UrDzusp98z2ugKDC4aZaS2JwNlfW4ZtBsjIacBL4qVSmfUwLJJsa0vT0C8HcTJE4CvkYqoDCLGWG4IyprnjzP1ak1nTOqy1gbfVFypa6Tx4tKq1zi57jOQTkLLV8atbC0tLySRMhdY5VegSALSOP7rf1ZVXOBLS0GOVcaEUNRJMk8yq0zdQPTJFiI32WL6mM1QkN0iYAmxRMZape-XEGD90xGPUGQJne4RldtX6DvwFUnbTSqF9yZcRMSjWNFFrdJ_a6be6sZR6xxBAkxHKVdeZV6Zldwc4SOJWWkOo_SaYaHNhYvTXTzKnQafrdDLrH5DzH0RRc3R3BroJKtvSvRpguaW30ES2-UjNev0lEUOmpsLu-xk_wAKXtfGiuAwwxs4HystT1j6_p3EO7rxeNlmtXHkmlpNQFoIGJK5WoxdVQdSfNi0iVGKz0wadYSTpK1CdtPUUi1uCQBMqtkomYgwZnwsDV07XazYHytb8M6ejTtDgO2JBlNF6FeHdw0g_lRqL0D3S7flRXpUHDQHWBnKToepRd3gtMDldEr2-jqReZd43TWXr0CXXFog-6XxqPSpOLYgdoyThca7rBskOBIEX4lYxlUENNjJiTq3RVaVQve6Gidzwgox2h4gTe5iPujY06rnPP7r84CmJ6tp1PaQfoEkFS9Nxzuqaavot1OEAkx_K43XXx6FDqAGmmG62g3dGFM61nGXqw1z2hgjey5Wa3GJ9MDuc0zNuD4RtieyHGmyScYws2LrF_iA8Fhdodf4EwsWFCkaj3Q4FzXCziYCzZ3hPWh3ThriMWx_qCljo8_qaopghrYkxhYsTYk15JBJEAwI43WcaUbDtRB0g_6UxB9dwadMuMi2FeoNdCt6gHZI3MrONxtaWjV-07LFSiMwLiNhC3Irg8U5IuTa6zV1rp1JoAgyf7piepB2n24WMbM14IixPBK3BdukUw0kjwpGkgTqZvvKuudbqXdBgwB910ZDqamloAI49kZdTqF2kAkAFSgAwCdQIJgA7KY1jP1Bc1jsO8rFZY31SGzNgrjSWpodJH3WsaqT5m11lllfWAMCAQbkIJucY3v5VQTqLR3WOyNyHaMAA-RKlZsWB0DOr3U9BawVBIyduE8FdIZDTkYWd1qFiSbbwPKuY1q1M6dpHlGlGOvNowZytxmtTDp7bj2utMNtIhjBv7phWhjpGZvupKwu2rqkY4sr_qqtJiZ-o4ctah31BAIvAxhRpIEyTBJxEK4p6Z1OAsWz9kxfFC0ED7Qqxoag2SLuNlMNSe4gTBbbYrNhqVQahvzJWK6SuAsZEiJmVldRNTTAGTvwph9BrbkTcFStyNFMDIGrwiGkG5jP2SjtXgYlRU2an_tP3XOoZz4E35ARdHWCJHOFGuM2KN1MLj5VjpVmuDmyBO5V8ZUDhEgBpi6yNnRViTZ0QI7V14jW4gNBm-7ZXoY0W2MgnTuES40BwORJdeVRdp1NMwBwEwnSoqWIbc4lEvYOdtjF0IcPLSRh210FmgvZ-FQhaQeYuuXL1uKagAbmdKkjSZcHNMOyOFQ4GgF15OPKlPGXqHQRgmbTkLly6b4hRqaHNkfZc3TWudTRPJ-Vs1Rr_YSR5Q1rpQGzMEclDS1HQ4FuDaFapKjS2SIgbbrmqQcQJIjgLn7UWECbnmVcCuqFpBIEjKmNS4N3ZzsqsUALjcIkjPVgSdgd0Xxn1EPwCDgShK55DsY3nKq2oujtMki4hZxmzKTUXCwzzhXGs0vpd17mEMLUaQQ4jfCMM5dqcS4mfHCItSIgt4xfKKYgkgmfB4S9B9QF5gDdJ21JrrvJvdGb6Lm4N42CR0kcAC4QMqpYuwkNl1jj3XSXXNRjnFwGfClmE6WpQZ1Ot4yubc_s5sQDduxWLVuACZMixsLpIZ2tTf2nY8Tsr8L0vQqTb7KVfjRTcGuEE43SEaKTdNgYB4K1BqoOiwtut8a52NlPc_UB-Vu9-Iq0RAJgTsszsdZx4IWgtSn6YnVfaVnlVjORLiTkhcr06QWkmSFmxVAe0kGAIM8qVBaYBjblL2q1JwMSY5V6xGkOaRkuhImOAkYk7EpGiuEwBacLNoq09pn7lM1L0R7rHtN9yrmJa7Vrc7gcIzq1IFomFuMi4gSbIJF8xa44UdOMx0yYIJWP8aULfTatsaR79LrEkRhY-tgIfE29lPKmL4EAxO8K-pY50EacCFuMGa0agSTGLKisaI3-UQXkRF_dBMvktuLcKDQw6wJMQqA45sp4FZd5JMAJqrAgEgklRk4d3DjYqwxwJJgHt3RXB5EEbqjteiJF52WdCsrXxc3WgAAXTM3wgaZcMgeECkQ6JhBRv1e-UiHNjIPldEI54MTvZQIBqmZuUawAQLtgrNoYEkkxZVTtJLgIWJ6gzBkiVtXCBJk-yCtN7HAiSrO5rNACRb-Vrl4hwXRFiFqeYxYOiDcSs2HG6lVmbfzELn_TcPTqbTHzlaXFL7C5S0wLNzjhZxo4cAOJVzXMwJ_5STBwHdk_Cm9q4m4M9wyu0ShkY-6H-G7WjypKfDMM2x7LTn4Lj3CPupa1K4kaW2EFNbcSCECOJGBMJ8HAn2WRQEjtO15VlSzTNdYmDf7LU7YsEmHQCY8qXpqRRrseyY0q0SLqSIZp0SYWyzTscS88KJigeC4KpYd5BbJ4iOVfU0jrh0ZU9SJvJJzZRrsrrGZkRlZtXN9EGLqxmzFGmWgwtRk4FxAstCpIiN1oI6H3ElKELozlYCn6jN0DyMTAVigXtve6YCwkuAhEOQf-ECAAi5uoFP1DhSN_AEgEAElVgZPlUAtHF01SG0mwRHSCINlGoUCbwbLPTVVbYGbgLTB8yERek0NjPygqXEC2VROS4fKAGw7bXUCtaW3JQM1wHlBRjpHPhF07be-62VRt-Ec6IF7Y4W4KOd25WsY7LYrLYb-2FpkZn4WWooDMeBBSd0pwC4bBaZITI2QI5xgLNahCTEyilcbWWKwmXRMXgqfcWJnudZVqwQ0bqs4ExZPUcXOuNlmt8Sun3lSFgxaJWmdcXsaTeLK6aUu1PkYXPUUB03c1ajU7IJ1XsNlXQ8cfws6j-UDCX5AIxZfcx8epp03_AGeVQj5lwLbWIlBKm2DpJQWDTp4vlAXPLoFiMXQKGGoYnaEU1Np0gtNibzwgpUgAEC55QZ3S90kARgCy58pq-HYwFoBM23wFysxqGBJm2OMe6jQl4JAc4qDVSqgTEumy6dSo0UXaiNUk4k2WpZVbKU2ImBgcq2jbR6jW8g2LeAso3049HUBqcBN8-yeJQqPc0lzJIi82jwo5stSoKpaJjhQYnNuR9M5d5VjpAZU-oAkkbTlL-lOTq1aYvCS4a5jjrBDRqHCvqa0FgaA5zQGkSQ0YlW-Ejyv1ynSb0GlhDng3BWLMix8uab3OaGXbkSMhY0rd0vTudpcPpv8AF104_tz-ruN4_dNvZdorS0ANgu8lVPoOaXWbJHCLqHUUKjQTEklZsWdsdY-m14eCDGVBhJlsAyTeZVS-M1Ua3ggmBkhHK9OoVWm2YMyUbjbSMyBZo3U-NvTodrRcuAGRytce2L7herpF8FwGZFkV5ugtf2k6SVk1n66o-k36YKWauvG6zqNNJxIlx_C5fcV5FE63tNS5BmIuljT0KDBqBbYEXE4CeTR7VJ7alNpA7IsPZZo9KnWp9QIa0SRMJip9RQa_XTeBBbOoFQeP1f6VUa6oGw-nEghc7GteX1f_APrB5HcBDrrDNyvPZUkgkARykTx6E6umGqP91r4sYGv9N9voHOyzI020tTKQ3B3Ci_MbenrhrQCIbi6I002AkmZANoRqLNMwLzwcKq39JWcRpeRbwsUer0n1BwaTb4W5y_Y9fonkEZDhe6u6uPc6WrqI3PKvxJHpU3GCT_8Aa5x1W1aYuQDkAZSirKgLHaheO0xZc0UiG9sC4kDMlGs0xY9zgcTwclE-r07CYkxxZGotWqB1Mgc9xO9lK1PWbpqD9ZdebC2y58p07Y9CqX6HtaZmwjCx8TxhNYh7f3SIjELHh6TqepaKLQxxBDSTIzwscm9ZGEllSoHFoA35WLWvjLRpltfvABLTNs3Uo5zi3uDQaexzB4WZMNw5OuiWhxNQ5nGcBLNix59ftq6RcBTk1sRkvcGjjhZq6rSe4Nc39w_dCwkoNALyZJA3UaaunGg9o3uJRrW0VCTJHaTF1ir60MtIONikqJNdZ0ERsEVZr7TG0K_BznBoaHwJWK2oxwuAII53WosUZUcCA6G2yns0BwDagI7rcpGa2dG1xjVIgWW_GHE-ox0s-SnrJab4cD8ZwEHB0kwJaTGEbR6topyHG5wNljGXnvIFSBMFajUmhVAMY5-Eq1mqmaZAJiVMRjc5zTFgDaQolFpk90j2CqQzmgmCZOxhWRXMsADbeUsWXFZlsEDmVn-03tVoDYO_CVVWP1AW-Vz-rBqdmGzqkAcLfx0I4klpAxayz2xuNNAgOBMj4yukpuvSpU9bZJE-V0woBriSIuPuoy2UpLBgwFImLtIYJHG2yIs8xJMjeeFUFoBvPgSVcXRu3STxsZWdqyYJaRcQPdXS3XFwOZJthaKIAbU4kb3Rk_UsGwji0BGpNQgB0OA8XXOtzC-pBgNFt1hekOo5EC2Eq4VrzkXkXWcaXpBzoMR_ZMQXOhwtJyZShXmWkaonCyEpktcfNlmzQCQCRPsUqqMMOBx_CysqhadOqfdWNao02t-FnVVp9pIndWDVREPbAgTfytQbqjg0NgX5hdtZosJcS4xbA5VlYaPUDPHhalxntromZa2LreqYnSSCIG8KUJrdSBIbYndRRNQ6tx5Voqx4eQDIcPKsWzFjIi4G_as3tJUy6Z2PKy6ShAmIkIaZrpBvE_hTCVHqCLkxOJXHm7JUSSDDQfdc1bKX0Rwc_C3BYjvjc4_5RJ20Mc68jM2Cs6awzm92LEq1UXOMluGrlelLpEk3XO_0lMyXOzCSAVTHtFyqCDMgZHKNaIJDryflGojVESQZB2KLZqLnd2wduIysmBTaSJdczhXGMrnOABiQVXRIgGBMfKCZcWgzcnyiVxc54JIj3KJiL2wRaYNgdx5RmlDg0kbg7BGTU3Ou66CoMd384UjUoguJmT8iyauxQy4cD3VTSg3GABfKNfGmiTNgII-y1GFACDa0paiusBpkEHlRowIc0GQQVjwBpkiWgEcosVbUE2_hFna1LS0Tql5vEJatXa4EZmdjssysedtFOobACAcrcbjVTgANjK1x9YrdSOgcWhdKyoHiBzKxhhyMfyugVxa4yCR7rF7VJwm43XOtyptfDiAFn40JYcYjKyHYQXaT-3lSJau0RGR8rSrNAGnF1RWJxbws78HXO8DwnQUNIdINkn6czaC0e_lJ62LfpjEFbMNTBbqEGBvso5i8SDG0WNlKOgARuortIA8q5iKOvc_hVpF_cZj4CmNBThro2UxVqZ1nC0l8WLNSMZ0ZrT4J2KrLi2CRF4tKgYEFt7eEE4uYH3TwaKT3acTFlQridJBkGVMAa4cKW4HmU7R2uIvbhFD1HGY-_KoZpzjGyBi_tumEIOdlVEAl1jJO0oigcW2wQgRzgb_EIDTJaRgnAV6DB-pxacZWvUxxEgmPutZDCTFuDdc7cUA6xsE9B1fTsCqNDWrMiGkaobgqmkqCIACXxQpNLiMW3SCtxeFr1k7NwLlbjN8M4Ejyt9YzOkXMMXuuNblGmdLogfCmft0irRa5sjNMWgkKoZkRe6Am5yoC1ukAzKg7cX-y3KeuDYPPK6Mzq45pJdAWbGltH0yRM3WnKpOMERHlSrEyeL3WZXRTUDHla9CON4UgZrzFwDaZlZoZoM3tZIGbMzkrUT-lGku2_Kuy1TMcAIO6l9Dh94bcH8KxDssDNxMKaqje0R5ytM6oJLvZPpfHagQDHstawUvMERspSE1iRJxss7HQNO435wmM3zXAmTycqSJq7AQJB-F0TTiw8IgtdJiFdCufpsMbq6Fce6dllqQrXC95J5Qsw5-m2d1WS6Z4-U0VBLQFADmT-EE3nSY3CoQFwdJxwjcOAQe4EHlRkXBUBwE2JUQuj5QMWANARUWgNJsSuddJ4vT7vldJ4505b3GERYGIzCoqBN0-KVwjVCiIOMjhUc1xIuPkqCtmtjN1cBYCAMIHiCFYqjYmPyVXK07eMxutzpRHn7BXTB1hnPysamgQdrremO1AOO8qCgdMW-ysyKbUIiDKrJC4t4umhCZMcLFbkK4gixWfVxF7y2JVxmpA6nWOVj6vGfVY0lajQPMQMeyKR2fKOV9ICfdZbnhrSDdIriQCtMVLSXuMxKMrMp83KmAn6iDgYVa4uAIF8lHRIkg7_CmM6_lAKsd0iP8ASvt3yKnrh7QTzjhaQahBETJyUCM4iPc5QVALbY90DM-n9p9yiphwDZMjeAgoKgNMQJvhACCSBBJmwQxdkl1wCRtupVIaZEwJkrHKbGoV9PSTe_GIXLLGiOrXaXWhZGmg6XSTAzEWWhsDydMGb4C6SDbRDgGS-IQamhugyQJPCJWmg6HSDss1M1Z4mmQBk6iSVcTMZnNvpHaZmCpiYz9QHREyCYAmFf6aiXpyGtknlXCqs0tc2QY_hT8WYcMY57iLG8E7qyFXa5jBknE8K2LHm_q_QNqOc9n7jFyr70082n-mtMEmRtC53jg106LaTHAtDiBBBXSdM2MHUx6gAMCBNlQ7HhgFotiLrXTNXB1kEESbQFpD1aBcQMkmbKVYxdbQLmA4iZWHSx4tajpaHTAKMVirsJey8W2Ry5eA1_pkhom03_hG1OkrEVImXHcKLr2KVcjSDedlqdDQHBsFxicFVpE9OxxmJdOeUYZep6cVGvAaAfJWB81-odC_UXYnZYzKrE2h_h2v7g55wVK3p-jpWDtUvEGw-6v9GvVpt0UwyYe_c4Ul77VSn_lkmmdLxa7oKzbtU9Wr_iIdXMgW7MlS9DX-lhtenUYSYNxPHCXpHj_rH6A9zXOphsFv0g3XKw8eS3oHUNAcO3EZ-FjxZCPcTrjDTEGy1pGWo0vfM6RCNNtCqNGlx7v7LNGyiZAMQPKDXRdIIAmPiUaitHUCbjOFLVbaR_zSSQCBEBZZer0TSWh0SVY3xexQfDYuHeAn10e10QAphxMcA8rSY9Wg4xoaC2PyFDV9AAccGczYqTtVmVCwBrSeCFmxFn9ziGNMWJtKy3HUnNaYaSDqgXm6LJq7n9jHHmbjKCnTgkjUBpmXBF4-tvTtDA0ts7dZrrpuouwRGq8gLFjGvMLWkHTM8kYWK3Kx9aNIGg6gG5Oy5cmp2x1X_wCVJeNQMtacFYsbI8Pqh7RsZAcYjysfdYO1hDzUadIabgmxCfVsCsXP6WnOfqgDdW-Y1GR3Y7vBDtyueDPUGoHSfJdwFPAXDRBEgck5WWo5gDi4knS5Str9OdVSTYQs6rfTgOjSSJyVlpT1b_UInZTENSu8kEEIsXpN_wA0gjV4CrcB9xnNoKze1w9FhuXfUDPhakU7pgglrgMQm9JXNLDVG5zBUiNPRCKj4dBJt4XVzpy9zJa0d03lGXOGpwbkC8j-FBzXBwJnSBYA2VbR6qY0mHWwFB5ryQ9wxEWQ1OrU0bidoUpUS5z2kiI_lIM7m3E2GYCjNB7NUWMczZCGFmgAxH2VjZqTdMmz_lLWbRbUGqCRJ8LHSa0URJDj8RulVem0CZE_ys_21Oj1gNIsQQFS3WcUw3T-32KSlVB1NgmBKs9I9Tov_bme6Puusu-J9WfqaSfEAqClA8jui91b-xZ5IkCW-4hRhWkQWwDbhaxrOjPcWkWjwTCpHMJiTJmRIsslUiKYJdJF5URzAXTLom0oau1oaJd_9rUROveYJ05uU1dKxsU5klDWcAvJC5WNag8ajG2LlZtblMWsYbHSQFNWH6eqYMukuNlVaHs3JPugg8HSDIcThShJLW6jtsFACA_TMiVPFk1VpafY4XL_AEsO0CT3SMgEKoraDBj2RqVSkfTJDjG_hI21sdIBmGldOKa0ai0TaYwulus2qscIsL-6sZWa7O5jOYWsSqsqXHPIU7I0er6pMWM3nlaxQM6XiJJ24QK3vESRaIOyopSeGOAwBce6LrQ1xINpPlRHOm7o7doVyVYQkz3GR4UxHNJc8XkcLNjfEldxLcZN1ys10lxFj4MiM5lc8dG7pyCCyw-VQ5nXA-VbBppvggkAxsCmhvWAgkype1lQeZqf6ljk0OwEX5lYbwwaWgw4C2DlMYoNdqJkW9lUdIuXCOCrgVz3GoA0j5wqsuFsR3c7LLpLqdV0sBtIUKnSJcLNJulWFqEEkAXbwU1m-p1DEACSmrSHQA0gXFinp4D3SZaZhOmbU3EudmLZUrMlpSDpEb8qyLitxTgWBylJNc4QBI7UQwA2n_4krE9YVB7QJuMkrbpBc29gTAhG16A0OEk32Wpcc60uaSzzP2SpLExIBGq5sFjFvZtOlupxbPupfRzXk3vHKfiapT1yT9RRqVqaZsLmN1iytLsZp4PMcKCoALRe0yCt7fDWnprEC8A8LcY5N8yRxC3bGVmEAB1_9kDjuESCBgrYUtkHgD7rP9gESDfdc2-KRu_E23WK24OGtrBaVjQzGkPAiM5URYCwMX8oq9N0WJiMK6KAy3ZUFrowfGFoU0QRGYmVnccykgOjJjKn9txxku-OFtRJLRAuOJU8c6LbvLiB8lXNZVs4WH3VzFTYS1xm-9liy1uYD7m7T8JZSepuIGk-Fpo7A2CbTCxqKMJ2Mf3WoizNT82WmmhoAbEBXGMI5oYATcqM0oANhMoG9OD5UQ7W6RhUc8AstJQIxhaZNgUFTAGUVB7ouAfCysmgDqMF2-ITE1VpHd_pwqguI1AbTcqqVjoBmMrO0MBzE7KobYi0qiVpGSP7oKAy0abn-FAT5MldAQSQA0BzfdAjmkEif-VmhwNJEx9lIGDJmJjK0HBAMzfCgL6ZHcLBUJF7n7LNqqU3hoAx7jKsSnc68YC14yVrodOyss8GgQRqAnyusc6g_MmVy5Ok8MYIEYWKspgSBb7KFPBMf6lpFGuaG4n3VCaiHXAJ8KNYeRFjHwnrKcQZ4U1VGwQukrH1zXwFdaVa6W4-61HKlNpMgFZrUT03krPjYPJgDcqgfUJOBZZ8HAzm0FaFA4EnZZAAutxLGqmYibLXRPOyVCJOmymKYE6b38rIq13aL3RFGvGm_wBytpnajXXmY8qSal8wzXGDaGqsyFLDqkpY34m4Fk3mfypiix0iNuFJcSzrDtbpyLresrgSLEKsleNJ0kXQcJFxYoFeQSJBmMo1PSPMe4vbBUrboLmzgqs09OdMxbeUZsNqIsIQPMtkZRHNFrYQTeAR7IIusZP1bJW4qwahjwSVIzfTEXn4WvQIJN7BRDtsL58BUTqi0klRUwO2SpG1aZBg4HlaYsNd1T_YqXwWaYtwEQ4cRHlVddBaSZEe6dIi69yPgICQBO5UD0_NrK6GcO7x4QNTcCYgkeUgfTqiLFaZzVmAt3QxzomJwhYXJiwRgwIEXzhaa-k1ZjATWVGG2QEaNq7vhb1MLm04WYaV7JuMrNbiYJvIIGFY0iWXJmyWz45UGg6tisNzpQ5veyqlbBuQJ8IoPz5RzpLC0e6yS_HSC1WOhWgwVXKhMHFlnUWBsRN1dCg7X91RSz5vCraRcWmBBWdZr-S2qI3MZX2z5VzHaARvM-6pioP7t5VjKzGhxJkkxAbwqH7i7fRgyFegOIAHuLKKLmmoO27YyiWa5rS7wPCLOlmOLbGYO4Cmn0A4NdgEkwSU1pSqJEBuP3BKanVYagDjdwv7rNhaj6dpIkm9zhcNrUam_wCYTBFxhMVoY7QBBH9wu08Z1qpVXubcgXyVFjZrc5obuSg0U6rmsLS2LxKz6laS4hkge4V0ZzX7j_q_1H-yGEcSTqGd5CpGQvJqN1Rm0LU7Sr0naXQDf3WolFshxOnJixxylFKzXBxJBiBhFK-uyswscwkxyl6WMpaGVA508iMBY9VKrUNQOLiIJjhUxl6hhaJJkTaBlKmMQqaGy4kzaTlWMWtdCs1ggOgrSNtOsAIEt5JGyBa7NVMgfSR9ijpHidR0_ouLs8BZpXm9Q0uOLmwsjPKaxVQGyfpcMhRl3TPZTf3CDFjKNSa9ig9rgDzuFUM6s4G7tTZtZXWlWPdrD3C20pqajUqB8mWgTABUR5PX1_RNS2rUIHhPU-vEewE6yQHbQsWY2sx8Fgib_CwrW1rmtgAgg3BEhVEabga7xGsvNk8qx6zKTWdPo_cBJtCzbrQU2GmW6Q4aRq-6zextDntcdbSS4doCni48v9Z9OgwNcCCe6BkFc7FfPPu4hoIcQDdDGd0uAOSJGElFelALiXATgJaPTotnS0QQAs-i4pRBkDhPFM0kGLwLqI29ISHB5NiYhc6vr3OjqEMA025VldZHq9NpFQEnZX609Toqup5DpjYLdK9RhuLuEYjhJ2531dj3uOgSZMhRZWhrvTuTN8EKWa2emRVfYxzpKzeg5s4Pg6N5ysunGrUa4f2wQACTBvCJrVRbDS55FrAblGdyt1ItcC1xgkbBR0t1KoHsqaPqYBIlZrm859ZzdROZ-Qubpx7ef13UioHiwkzqGyxY6xlDGspl4a71AdQMSPZcOTW_pah1FU1mtaA1gsdQwVMtIoKRrVHOc4B2ogB1oG0_lbmW1fS9dTqBjWyCDdYtia89zm6SC0gjdRpFoDgAWzeDxCxgZ51tc3YWATF8Se52rx4WLHRpo1ZAtf8AhZwb6Z1XJhFl2m3DhNrwFL42Vh1AfUADNsrOK10ahae0En_VCU8GvUMw0YHF1lrVaBOlxibXjIW5elFgIkmAdgs1m0pjXpvj_wAhRzaejc5jgXYGZC3L8Sr1qgJ1OsJytWInScBgTOyg51Rzi5trCZhXxdQqMc7VrwgxEAucJieSi4jWYJviMhMVnj0wJJ9iiGMOZAbo_MqGamXaZbEjYKKVocSC6PYIC50Ok_SAonIzY0ycqYyoyrpuD8hXFjRScYtYLDShJqwCD3WCWoRwcSdwLYVnTYse1hcLgIm49X9PeQRpxFiusZWqu1OAaDLr3wiVWhcmCLZKTo1YifI8rURzKkOL9MAcKi7yCbXAOYRdAukRJRM0QCXuBwYhRcO1xkNHcR-VDxTUZJPdP2CsRN0Co2QTwAqKNc36Zlv8qUZ6hNMw0523C5XWsZoL3Xn3Iss1cB8amwbjlYdILCSYbEeVrcK3U3F4ItHkrXrO9o_S6LQs1pFxgECSdlztxSOLmztsJU_LRpodjdRwOVi3amuLww2m66bFUY9pABiR4WBYVA5sm3hGpe1-nqXOXe66RL61CoRME6TddEOxtzfUStzBqaQQYEWv5WwQR9QsDkKGYdlVwGbHZXSqse4vg5JURQu0OIAnmFVIHaydgNypRopvOmMkboC6qCP9O3uo3Km6o4N2mYstTxkWO1GSY9lmrOkH1iYBnHwuNb3QYIsAQMkrDU_S9Cqabs38o3ra2pLSQIcdhsplUzapa06e12ZKoJfI8nwjWC-Ws88jZZokS0EtGolc61qjXhwkgkDZGvYIq4kaZ2COYPM4MrWjoLReJG-yoVwib5ss1qM7x3aRhZtxq0uoUzYFpnnKm6uxzjaxgkyVpi1Co8tdnJ2Qn6K6A0zcykmN7Ae9ocY91PXO9kdItLfMJFlO27Wt5F53Wm3Oc5okt4gKM0HPcTMw2YgoxdPSOokiRtqKzmJI0NNiYvG6004FziCMndHT41UTpsRHtujndWiIbFzsFq-JCFtrZ42UWwlQuBIA91L-zDUYlu0bIjRS-qZPuEdJFQYuD8hSq0UXENYCQDMzvChZrTEYk7xsrCTGqlDiCBG91UsaWm0C5laYXpvOkg7qoYu0idMDwrmgFxcZxwAmfA2oCe6-FzvTc9SDZDbQTvwsVsg7H41XWLBdt-6JOQnnq9LTqtG1yrIh6YLs5WsFWmGAE3U-jmuaQACJS3tFJhvNkrOFJg23Wc1rwX9oEGQtM65pgQT8JfcZsFkjaT5WvDD6plv0q7oDnBgmL491nQhIzgrFrcTcXT4hXWjsbEg5ibrOou0ENabE8BblSeqMPAk-Vta0sAIBmIUcwqd07oJUxrcAR8oLZbiPKLJotwbyUZcSSATaECF02KDiYaPCKg5xLgcAflG8zxx1T5UYxalDW3N5VQXAkR-UCkQRf8IKNqREmfhQM94DSZn4REDVnxdZVZrobMytlEwXXEey3gMAutEjdPE1JxOoZKlixVhtOYUwXAFj-VplMwCSbrDSwqAsAIOFpJdRcf8AwLK4Oom82Gy3J0GDo90ZBr5_cZVGimQ2GkrpHOlcO4xdZ5Nzww-kQVz9UzRfYqDiCTt908NwA3YkD5Wll0zGgZM-ZSunptRi4U8ZkTLjPKXtcO0FzQd91uRzsOxt75WsFGuIvYhajnyupueDMrFa4-EBOcrNaB7nRIsFZ5omLkfuO_hTqio4_JSAgk-fdBUWufhUEOA8nytCkyy-VNEwSXXAkbrOi7BqybwtdBmkcx_dZ7FNUYImVfyHeqYOS2brWxn1Rr7Hda3WiPdBIIzhY3ArDJlxU1Ks2pBbIJ8rpGZ2sHiZVZsI6oSTF_KILXQJN0COdfaI-yKlUOoC4jhZrp1gtqAiAbKlUa6Zm8nYWSH0cG8BHP07DaARCqG1QJP4QTeYEm88IqLjsLnKz66ZilMzF7FakZsw7QSbm6rJi0mwBKSI7TDb58q0KSBnHKyqWq8bTIU3HSTDNcCeR4V3S-LNOSQjmcRqPBRFAMcDCoD3TaFBHXYgW4KBsxGUFQ297oDMCb-yAtOmRytdKdr4vGDCqKh8iyKLSTclD0pa64gIx-MACXRsjM2U7ACCBuqSOLQLaoVrV6BpI2mUPTA8CwVTHOd7ws1ZYm5snjeFGrUnP3FkcsBpmb3R2ri_EIjmkTJMIngOOsbIzUnmT4CykK14E7-UdFRBbYEiFpyTIOAMrOB22MjKuBi6Bb3lXNCa5iZWe10pfJ-k_dRH8lNbS4AGRAwF9w-UFnf3bbFVrtZpvAGLqwxop1NUkkf7Ksn9RrgTIAjMoOc6RAdA5hAzRJJMWH1SgbVoALTE7LK6IqzU_wC2LIaDQDL7ByRfR1iIJPwrrNE1CQfqnhYtbiWoTDheMyuM6aUawhoIItwcq7qtPTAyTyt_ExppML3mTcW0lXR6fTj0wAQD_KiqMDtWq5aNnJEwzXEggzJvKoDaYLzODGLqVoXhjabwTqJ3CYmMDgGugEGMqz1i0wc7SJPZ7Lqw1UrgAE53Us1qJPe-4OoAc7qpShrYYdQkC5j8KVYD2M1QTMxc4Cy3jHWpwS2zgLgojOQ9hDXE33KGstVha7uIF_pWZMrINAF5k7FdNLGmnVMEE2dkJrLZ01UvMubIjtStxm_U-mkF8nworxKjdGqXavB2WZdSPO6tocCRaDbyrqYythzYkDidyp-Uax6XSVZptzYqo3UCS5s2HHKqa0VAAwnVjZEedWLxpuCAZgKaryf1R7iTEgb8Iy8cP11NIBbtI3XO3fRt6LIDrtMCHflWTWpXptAFKWEmZC1Y0zUelLK_qNNozuFz5EepQ1aKcPL3TfUNlhpvrUf8vWIhsT5RqcQc8vFKoWwAdjkKD5_9YZqruqvEDAgzCyPCc7TWHJsZWKBVYLRBE7KA0iBGrYpRuoQJLbwLSkFwXFwa4wRvsEVWkHveGl0LKRv6dha2QRpHlYrpI39D1DiXNMgWiTukdXs9PUHqkE2NrhaR7PSloc0G7v4TbUr1qEENuCTaMLpOnNppsBPY_S4SmB4c8Atlx5hZsalPRaaThm52XOtqsLjYnt2lRRZcPl2bzCI2Uq4J2sIAyEVvpEMAc76Rn3WVwj6odq-rTMDypTHlVxDy6-m1zuuda49PJ6qsHVXAaWgE2m59ljk6K0q9WlSZIc2nwd1mzV1rpNBAdpaWnPupOmtaW_prtDnA6HGCNRuLITlGD0n06TqlWpBxHA8LnyVgqESb4_0nKY3HMa0tcS4aRkpi4WoCG3AAgkE7rAzyWsNjmL2WK38OytqxYmQYXMbaNUSQSf8A4nKlF3ajAEgm11dbhtOiTk4sCs7rWqUyQJnSFKXxT1GvHnyVlnxdryxxa0xOY4V0_I1RliS8wfplQcGy2fqMSNj_AOZUoLaxeA0C4EKzqpVqjhAAgx_qwutZBpwA4i6mBtctcbmRcDdaAr1bEgdoEDUVB5p0uedPbyjUZaxd9Ml191nQI15MAq6mg5oYDHacSQq0k-XYmP8AUs1nRuHAmyGueyW3tN0LdBsg_VYchEaGBs37Wm1lnV1ZggkAExiUU41arzb8LNV0kHJzwtaaIpibxGbqD0OicGDtI9l0hbjbAdAbI2JWv7Y9FocwzJ8NCsmismpTkbWM7K-Di2Inm8BZ0VZjLpMSeE0d6ggRBO6utyngFpNheAm6W99GotySSAf9OEiXtR9vpgEiYVMJfVANkQaYaHk6dHCInXa5xkNtzyudbiXqA2Bi0QcFZdIzVHaqhtDgecLN68UzHaQQVnErf0-kMAP1bLrxjMhazX2JyUuNoOOQbEcLz2diYJcGSZdF5WBQFroAOLd2FnKhxJJm-0JimZULDFiNoVWq0zLGHebg5WkVpv8ATdI2K3B6FJ3qBpyu0BY70zpO-43VWtPTvD25AK0zT1WuEw2dkSA7tbEGwk3wjWnoveASSRO3CQaNbtJ3P2UqaBF4F_eyixRnbeTELQLpIvDePKIEQBi2bqx0uOdqpgACZ4UuEyoxDRquYuFx5RrCtqFomXEG0Lmu4uzuie7ykWNTSNM6vcBV0O1-uQbwdhKgMEvkXPg2Q34d5JEzm0FZq6gXidVh7Fc6quotHa63ARR9QOjZ2LoijQWxtPF1Y1Y6BqtuMEYWmU6lYTcX_up8XxK2qZhyxWpeknQHWJzusoV4kmJJO4GFUIB-0zwrFiVR07geSqhGfuIOrghJ0ji01HEmQBhGsNFiAI4ujWLN-nuudvCMam8kszAlSr6rRaQO53wqWLN2BP3RqQwgO5HlGlqZEHug7Izq1MyBBk_yre0wzbNINr2HKVHRAjlR0-FOkPLfyjGaoWhrQRc-6NtNE62mXGTfCJi9JpLySb8wp1BZz7jfzKqtdExTkkewVT41U9OkSYK0wtTcSbmRyrEU7TI1W5VzEAANAggxjyr8AqDTf-yxyahLkmD8FcHQA3V9REjaVb4i7WtbHdFlLJWdqjYJJmfARtQS0gAic-yegF5JzEYITwWZeec4ws6GIbySQLLXwKDYrCXwSfuVvWYGm9jJ9lNmrYd9gCNJhXf0vkNTuR_dXjuOf0Ko9SRPtCn3pqELYIFzZS1sGh2szYcLIrGkAzlE2HaZAg_2W_GZ9UpAzE_KupbVoIEW91WSgiR3H2hAWPzwgoSdM-LBPjfEGGT24B2ULMO52lsYvhVlNzgRKIkTZRYnql20GyjdpgcQcK_0aqwg5F0xmqEWkFVlDVqdJkqKowk5J9kBeSGib2wlRCS4ibSo1i9BwcTfeyvFKqQCYifK7_2zotYOZnKk78R3pAydvZZq6o2jNxgrUhpnNgQTZZ5ERuXQcTmFhVDAbxfK0zPUzeFlozWGbmy3uJSEn2nEqVT02zYwk67StVNkXkey7Ryvox3GRAUqyiNgGghR0kG8n9vhYKNmtz91n1AIkzAsdkqi67YTW44thq0pXMi_CzWdUa6GzK1tZpha4IPhbiCTgAe605WYm-1xfZZrpJhRY5sVn1RcZiPkKCenvMYPCgo1hGL-6s6D6YgmyoOu4kKywP8AUYNvK1o4YF_hYtDiC0RndMBL5aAcqjpkHSfslo4OLrE-87LIrqIJh0Aq53oo0huCqEdU1E7glS9hWvIMQs6LAed8LtLrN_pZmJlaczQDY5RSR9huqFwPOFnRO9xhStdUohu6krarXQdWxtJRFGtgmAB5C3HM1xAyEQQQ4EyYCCdVoJ4JSqRstINwAsuijDLhErSVcMtJ-614wZlhLlUSqOzxys2iYdaJsosJpAsbDhRraamJPa3Cq3xcEAwdxujBmQSCCPZVFIdpBH2ShalhO_CCLHXys6Ltb_8AYVDGLwYOQg6Qeb8qh4gdxCuBGvJcYuNlNFC6Yk4WhUEaUAe42t-UWdA0y0yICRm_s1PFjB4XTohHlwcRb3WU5GvsVklES05VN_RXP2HKjPpSdQ3Q7JVbAsjXGak0jJsVNbODrdIMeFQHTMFajNAC5KVmkqSb7nwsU4zShsGT9Kkb8UBjGOFpz-iGh9w0DzKN4Vz9MI50C6ZO3CDnNnZSibgWGAsj-SlcEFwHtZfcvlfg0TDdpKuNasxwtH4Spdo0xpFzmVNZVFWI39wmqZ1bubFoMQmrhmuyQ7STwETFJ1C5JdMQdkQhe4S0EGLFTc9DMq6ptqAypsqwdXqD6QAFpXB3cDtiVz5zGo6m5riNB1HyubS9MtDzrOn_ALQFrBoaYaDloNoTBtokmSAZO-CtSYNQwCSbeEofp3kRJMym4C6oadQ6SZ4QaKUuYXNfE-bq-JpH2pPDRqtMlS2msDpDSdIOq1lY51ai1zxAbqjZdTpcd0ibNOw3QWqUSC0OHfNiSgydQS2o4TgmRws6RkqObDnAREEwnx0Q9Yme2ZHaTupp19I8mrpZqiDiFz5f05iaIfTB1W5hdZDWOrS7STLQPEK2VT9O7Qe63uso9Po2mSAAdwq0frKJNG2Rsor5zr6QpEE_ws-JHk9WRUdpEi0rGtY81wcz90la0aaVRxILSXAbFWTGXrdCHOJ1Ni1vC0yp1LnMcWtk8ys3lhpBT1sIF_ayv5Rp4P6gGtqubJJiZ8rF5M15hcwOcDmVjUbOkDgQ7YXhdONyEeiOqFgIg_YLe61ol_qAQNLWmSRuuVajVQqte_T9JJtCy09ik9rmAOsWwQBus1uVl6tpbqIb9Vw3hTV14_6mA8ikQS4i53BWL2y8Cs3VVaNLYiPMrNgD2FrQSPsoBLS4jB9k-DbR7oDhpCDW4FjS6x5VFaLQ5oc3PlYWRppg6DqAnVCmRuL9I8hzSTcHCOj3KLpgk3OESvZ6Jpe2x7t10kTHs0ruMxPKrNmNbHQAQIvkqay1U3OLYgNNyQl_tqelDzpbJ0vJjwByuVdDtYHNJNQ33jKgeo5tPS1ttQlBTptIdZxjwEHoeuCQ0fTYRvKlXUajwDc6Wg3EYWa1I8_qjOsNJtt5WLFeX1AaymXPAkWc4Llyiyn_AE1p6qkWGo5wBkOnCeuj2eiD2U9LWa26YOuyH1tHTOqsBkgtN4MlawfP_qHUFtaXaXtvpB5Xn5etsTqU6XfTOISNQzach2kyMRyquoVQ6SLm30uWL4mpvJkl4gYC51vXBpbpOmWk77qY000j9M2EbWKxfRoD7tN-IJUsWKitZswBMeVnMaM1rnOySPslNVY5w1aYLhzdTGviza0Am0l10S5VJFUATbFshGZB1OnSSSBuMp2uUtRpbBa0yIk4VkZq4MsBJ1AnfZdZP2g4edQ0kbK5AwAaIglwH4WaE6gtNEAkiTNgpaMVVkD_ALYsU1Yg7u7ZEzMnhZylKAHAGII8rWIapL4JMWJIRvtA04bBvAyQnphP9OoiFmph9EtE4QwjWOk5I4ToxcMj4_lZSNFMy4yI1GJU-rhwWAETm6tihTJcTmBspRSJBkffZTFaelAaRJgnZdeKN4LQ0BoJg3K0zVAQTs3EJqLNGkwSbmQEvawWgT9JIO-6iC0XyDtZBz6ZI0ht_BQUpAuEEwdUZS9rp5DTpMkTsins6SZHEK6mgWaRZxstIiTpdBk8BZ1YdpLmgEW91PWol1FPcARwAsXXSMg7TqdYb2WfVK2XONyATYeE49D0undLIIsN8rpx7ZXqUnPAhswtfji-sVVhYLxndcbFZy_ReO7Zc7FitJ4Ive-FFcHEGdRIlSJ0PMAKcs0pqVWNRwQMELeRD06ncNR9lR6VB5IuIBGxwtyixqX7vYELYtQIBsSYV0amuDwS-87rQ50GAbLND02iwBgLUDk3iQeISxMc8SyCZB-4WFW6fvEWLTglNSncxzDn5G6sAgAgxJ8rSucbzEOAWb2s6RqdhLiYHtK58q6Il_cJmMrjexopk3dgQLJGpn1RrwDJsCbRut8fGtV1TqIdc42lStLNeG2DQOY2UTO9MXAMkOIteFmqhYaYE8glYaNEmR3DcAqUATnDiIIRY0U3Q2N_yVY3fBJOmD-FXNN49TV48JRBwDnSCRa6yJu7e5xPiFmemgC6HFwueFoAmxtfEjKLrPGgwRB4N0QlSZEGPY2QMKh0iIncoDqmwvbKKdgBgOkeTdUDXYgACDhSxYvTkaYiDgAo3hgcxaMyjOqAyIAkndRrRp6vnAstOerU3S4ONgT9lFi7JM2l3B2VXDYmVFypCmA-R3RkSjS1O5AMeyjPlbGOwDbbypq7qs6MXEZWd07NIJJJIn8rcG2gLRYSLALUK0UjecxaFpznVaWt7bCfdA0gNBjGyurigbqdIBAi18LTLqjdxOd1zqxB16hM6hmy5duqlIReLnkLMAL5wApodpiMX3AQWYYFzBV8BaGzmCMpo0saJbfP5V1KdwAPKYmpNAGTfhTE3QIIM_wjTgSIdzhS4ru1xGByrmdxmmbAbGqQtazSvGkjJGbI1HSSZj8rnWjfXY48LQYMiIgeUc1CLCNksJVqYsSQQtYlWeQJA5hLcRB5LTMyE9BpkEATPstQUc4m1wJ9lL43OgpxqOklpUhyUyL2W8YQmCRpndZonVqXIF1K1IRgMneL-yw1VWndsTuCtsKNdLt1Q4Mm8YwoJZJAwpVxUGBYzOFUTfIBJuFk0giEaVpkhwgmVvj6zWoN7fPhdr5jDmg5NoF1PhFGdwKmCjZFgFfBOqe6MFZ5dtQkGMyOVgdUOohsCAms-FABPKRqH1c4WvTEyNbiBNvwpdFaekbyVUaqektXeOdnZgzXfYflWrIbTEbhc7rQvZa38XWT1NxsAcrCzXOY0e5SmFc0nFwosESR5Curph3Hg_yozRLS2brSHPaD91rNApn8rc_pmlJGqBNlKqdQEOJz4WFAOgu388JJvg4kkE4HK1mCrXSMH3WB2SJdJ_hAHOIgAFAxOll5lXaKNcXEQNpW9Bmwj8pRziJB34Cxo4cwQUBPtc7qCjTJBGxV0OAS0g2M5C1vSdlkuIi191mqGuHTnwFmQaGNmTvxwus6ZuRdmwsQV0YoOMlwG3Cqxze4QRKNJmBYSCozQLIkqWMkcO2CIuue9uotI37VrbRpp3GVuMcjBkyJRkWi8ceEAfBaQPuis-g8rLph2juFx8KputTWagFtihVdpulRBxIBk54WRNzdQsb-ylqkBve5Cy3Jh2OMgbHCsZt1oHE3C2yekNNzE4wgcOg5yiwtSXNjzcqeomGTgfKZgu06PdArnacC6A03gxeUDEgeZCuiYcQAYwk_sMHzM2O0qrF6ZtBF1qFKZANsKNGaYsdwjFhhYTHyjMmCe4BC6VjtVt5Sds5h5uScrR4k_wCqd1k0HGG7hETcdTYnOEdOJSwt9lMaM1sFU0TbaVpihZu-VGHAF0nZRvjMTcYBx5lGr4U5t-FK5Snb2n-UjX5UHukyLNSoAIk3twprd7gmA0wSd4K05lAkKj-SnWnAA0-dl9o-WqNIyQ4TMRJNltJ4ZtTu0tOOEXVGVHCAY8RusGLnupmMohGtiJJABmRmVWlg6IiSPKBjUubQZ4RmuaAHFxdE5sufJvDeoGyP43WJe2JDatLBYzC6ytEeY7piBupbqxSkbNI8zC4tLscQ6ZziVvcGplWwx9sJRbp6xGogOJP4V89FTXLjckgC4HKDVSJqUwZkxfwqDAfBDjPMwniHoVzSJJLQDYGFrNjFq4mpqtnMWlYyxNY-pJbaIE7bKyYOoamibyDgLsY0Uu0W28oNDy4NDvqi0k_wojNU0yXAkxi0n5WcWRGpSa9rn6oEXMJrbzKp0dU1pIws2fpmpuc9_UENAviOFjuVlsY0lrjJaRgBdp4s7LWpk0e-5GxStPJeCKzhIIbcBZl1l6fS1nBrdOStRZ_b0NR0mYANvwmK8zrembXpzBE-MqVceN1XTwOCbey5WYrwK9M6nbCMJGbf0p05baCfkLqSvc6MGCADEWlZwJ1Rmr_K1YzXNc3S0tm9pC4jxesoFz3ERJwmI8ur0xp1CHD6ibpjOi13pMIm0zK1i5vq1OuBq7u0nhabxbp6upjgbibSsX3pts6d-kAtMxhStY9fpa_q9pseWrCdxqqODqYaQD2wXE4UX4-e6-qA4zBJs128KZE14NbsqumQ6bLFaTqO1ADUZHCyBReX1JmYzITwbqQBdqGsAHkLP5LJsejSLarAQZObqy6GYTqDSIncJQ9VrmXNjMxKmNcWnpSXZbB5R2e10ZaIDruRI9fo6ppSLWuYXWXpY9rp3h7NQBPBRyr0w4OogE3iJCznbPTqMkFroti95Ut31qHc31ABZxF4ByufrosHF9MAiIHKhhHMET3SLyEKtQdBglwE_KJNXBLZiBF5cceUbxWs8tmxmQCRhZxUi3VSMuDXWkj-FB5nV6TVdDRxLjb7LFi9IdMD67WMOgE304Hlc5sdJbX0HqNHTW7juDaSrJin6GjVdqdIpn6tWx4V7qWPB_U-ppPr1KPp_wCY09pLd1x5TtdTaQGAEglpglZzt0hKppgwMbQs1lnrmQYscSMrPaxAgN1NLu2MuWbG9D1ALSQ4TbI-FMbi1J4BIeT7LFitBzOJ52Kz2saaQLIMSY2OAq1h31C2C0XJyVMMVplrnamyRgpQwDr4EKQilFwLpkk7q1qqB1tBnmUa-EqkwIOe6FI51fpjFMtN9xIW5dZrnOkzcA7lbQW1QCdeowNjhZzQlap_nW2sGlSzBCu82BkE8YhZkEvV1NgkeCQtDM6pAmLoKFwc0HMo3uA1rp7pvxhQ0jqcasn5WRwGmDBI4nCCstiMmNgohqVMtBLswpFkVkz3AieVWnFpLiB98Ks04Glr-4ibLFHNbNzObQiVtpwSOF0izxoZ2gmBe2LLe9Iux5BGoAjaFGTgayDaf7cqDUDAGC6NggBIB_uEAa-RsPMIOpB2o7-U0aHX02sN0FGfR2_lUcWizSblPBCo0Nc6YQKwRB3hXVgV5DTIicLNjpKxiATvbB3XONg1kATcDFk8StfTuLSPf7rfG4y3vaXhrmk-02XX1dxj6uNU_TGVxsWVjqtm0SBviVzq7idN2j_Vm0LF9D-rqGbDlZzF6Um4dYQrIKsOmpJ3K0g2dU9jhWDd0z5ECWicE7LcgtUIa3TBscrQtSlouLbrOdjTSqANguAC3qUzqjnEQJI3We6RZlQFkxdbnSuYYOofY5-Fu9wFxJduJsuSLUIkOOJgglawXce3Twn9GOZDh8rWKSuIJzE78KeCVQXOdJ5MrlY3qIaWnMxuMLlY0Zp0g3ueVmTBak86wJuOVsXPbDwbebp97djtcHU5wdybKWfpIUuJJFo8LHJTzYbeIWbGhquhgEtvxsoQrHgbgeQs2foVaO4QdU8LU_sUe6GjtvmygUODhYmdwQlEXSDfJ2WLWUntDQcwd5wtTxqI69IMk2-xShiTJdeCFNozg9-qbJuhKhwItyArBzHTYARwqKaQ5thG3ygcuLhsNo5VgDQ5wixExKVuKUnGnAiRmQourAFk9sjeUZsOLtiPhTWWhlPSyZ2WgdAAsLwo18VpyBxNpOZRqKExLkaSuQSbDbSpazb2rRcGkA23kKUzfWttuL7rH08UpmW3zOyviwTd9rnytQ1todwBmfhbGppiCDOy1GLjU1w0iRBRkzQD-0kZS9LqrZMgW5ndEF1xO4UqoOHdqFhMrnXSOLoJEkSd1nFcxmIlZwU0RfPym30Fj4kQbq-i7HEuAgeZTBqY0gEgWmFpKbUC0bjcqRzRc-CSf4VdAuSYN1MKL7ERLrfZZBZ3RaIVncZsuqAaolVm6D3AYlW9txB0EkcXXKzWjtmJC1KirHAkEmy1GVi4OaAPsrb0ilKTMC0RBUiUQ7Ajf8qog5x3NvCq_DsECYtCILoLZv7ylU7TggSfKkKc_SYgH2V1EHCwJMc-UEnuDVGpcSDwDIJMbLLSgfaZsAtb-2c7PTMmZkIlmH9UA3HylIIcHAEAeFnV0zCQTAg-VpAeCLRbhRA_bEfZXF1WkyDY6grx6o0tb2jjldfWDhoc4lW99CjgBF7FaHMGqY2WcE6jL6vwuf1uA8QAYKlhUHWaTe-yyijG3G3C1AS-4EDGZWvBNzu634UuClOY49klStNInaT7rtKiod3brYcEPAJF1mhjItCxUiJEEgZXOukOLRF9oWcAIki-6IURJ5lXA4YZ_uriTsHHUdPG_KAvdLfK6fEI2eIUlBmCSbhKJ1HWlYAYO7nwrA2gReZmw5Wt1FWtAt4UHCHA_wAhTFIGHXkqCthk_dWBRIEzvKvngdrxeclNCl0ExYqAazqCg0BwAg38KhdRDhYRxus4KEnT5O8rUABkicjdQMLxMifstcZRZoiTwLrozasx2rFhC1GTuAg3t7IshHHAxyVYYT05c4SZjCuJTaDHCyiJbpkm6xjcoNGu8qfVaaZIniN1uMVYPvAhaZUYNQNxO6vgi-BP8rKxKoII4O6la0rBeBaN0itNEuDiLRsVuOf1z6kzgDCUScQ0CLqNYRxLiR-VmkTJBMTKjZ2Wdb8_2VxKq23sqwrTfzdEGLjyUUrzgkhS9GOY-9gkqKtuDeCtBKjJMzEflSjqI0kbFZgoTczZbE5JMZHKgZviSrFODFwTflaDNMzwhpgIcIuQrhpnGFFwGkGBOEMNcYFuUZc8k7wtazYkXXyspgE8yOPKjJQCDYSUjrBHcT75VaM1pjgoykTvyrK5-m0GLbJcbkc3VcSkbs6I8FxjCjllcxom6n-suPaZF_BVCkzH3RSidRBtbZZrWCXHBujNcHQMhOkfyS6l0AixOy-3fKXxmNUgRMDhW034emQ39vadwpqy9mLxqsbcBVasyrDQIyTZXo-rsgmfumKq0z5IyFncZDQXOg3uno58gG4bHKzY3oU3Hgchcmd7UeNRcHXvbhWVd1zpe2SO3Exulqr0xAI1S0-FlozBpsLNG5Wtg0NBcACfaEm0WpnSbkNjMLV7HCsYtZoN_KyjVSqlwBvp2ha9hqpsBab4SKodTo1RMzA2XSOZzUcy4k8iVohS71nC40-cqKaidTdQF_JuUvUABcHtMw4GIVSrP1BsGIdaUiRnaGuNnaS05BsUradd_pgmJ9lnEry67nVq4a60blZsqL0WhgvFzFlZP2YtSc9oHaDvlaPqnUmm2g5rgL3lZ1qPn-orQ7c72sFiXKzZjX0Nc1RIAECy6advUpP1uN4Dc-61bi-LFs2BkhpWV143XdAHUnRqEZk2Kzha-b6voS0SwGPdc50xYz0wSXSZ5AXWXUnb1qNU-iRBkDZVtGrVcXm9hueU7Ztz01CGnU13_BQnbP1YDmhzRcJhXldSwlxJJjJXJnHlVqhcQWi_AzC1HTiZtUNY5oMk7KVpTp6jpbYkEfZS3F8ejQqggsy4jZYtXXsfp9Rwe1psLXCyu6316ehpa0dpMgoPF6wanE8Z8ozZXj9c_wDzQTYEZi651ZGS_wDqF8DdRXUGRvc5UGtjtwBPKw6cGuk90iWiI2V3GeXVbG0tLCQM4B2T1AdVsWkyREWUWNNGqHDVewRr8nqdJUDnCLF17q9LK9zpZ0GADGwW-Pbb2-gJNNxkTsAFu1izt6LB6kgFrZ23lc90_FR4dTAkAQbkhYqyYckuMmG2yLJGlaY0gGRbASh3PDhaGhxi5hZwEuJIkB0WkIOqOBBAFhsUahfUIs6w98QEVm6jqXVHNa0WOAN1MTWV4FUEmxPwsWK2dHSYQ3W6GzsFjHTj09Jz2h72OANpLht8LVli2yKt6n1KTQ02HcPIVkwnKVm640-rpU-oDdLtUAxEkHdc7O7TXm9X0ppVCI-sm5xK5ZldNxiL6bcO0kbELHKfpGZ9Vz3AghuwBCwrqLQA4kzOQRIStMjaxFQjzJMLLcrQx0ukWvuZlZrTVReQSL6Suaxpp91hMxY7o6Qz2iGzMjkqhqbiCSIH-6zWbV6dUuJLh7ys-DmEmpcXJt5S2NNBd6TQbTuDlJdZTc7S31QYAzJvKot0tXVUdcRGLlWes1d5sCTAMWjC6olOp7wIvYEp5Auol7jhwwVBCo5rm2cS6eUGZ0tLgSBFwFIOpiHEiT_YrN0PJa0b3U3Goam2GhptOwVEnAl2DZSwK0HWJNidgrkGim3VBmCTayysjRT7532KY6fALC0fTJ5Kms6ABBDXX2CmsmZJbAEjAlQO0w-RgWjkqfUrTTaGgAnuyukGim6LCZKtTV9BaJtwtIb1NLZaRO4KgtRa54FxYRIESgOrSdMy0ixOyAt3E9rrSgcO0W2KYNDHFzBqInYJgfWCL2nbEKhSxrXWJIMQCnoR5cBkNPKgiztcZd-VVx1aoDN54uo1IzkFwB35Iws-OkAjQBmJ5WLWLVaBJDiRfF1dTW2g8sgbt2XXjyEep7yCLzcrPJqMdSrMgDtmBC539tIB2ki1hwsGCJJkbi8oqjXCQYvwoKFzi-cH3VFHOMfyStQa-jqao3IsStQbQNYMkC3wuuI49rJvdZVSlVnttm6kT6s0nVcEgZKuYp_Umcgws-ijauoAEXK7dYHqBuDOLEFZwVpExMA8ArWC0GxESdlmhhVLdTT-0wAoEeSJIMu8q2kRJJkAAzdc61Ey4_SALeVytancdrLWyTbZS1VaRbtLiczsrNGpgsAAdSVrXHuY4zabKUlI8gTbfzC53t0c2qXQDjzsjR2uLQcGfCyGaQCYEeyXcF2YubcJA5FhfN_ZUK4RebFZEaj2km1yYKxZTGeqYmLxaFqdCM941Ax4VVV5EGbg2woM5d-2YEYUqFAhgvfJV3sBrmmRFptNloV0xEkA8twUHfuthB2rS6IkqKsCYHdcfgJuClN008kziVG4pTJfINyFcSxYOhpByLXyjCocdQwTyOEanRtZmLzMgo0qBLQZRoC0Em0DOVms_dBp0mbD8qVfWmkSQATfYQp3EnrSHTgiFffVtLrLXt1ACMK-Jjd0zrAGdR22hJV-NtKXAbCF1xzVmXSDthZ1GqmdBHtstwO0B7gScoZgvkAkZjdSrGd1zqFp5XLk6CZkF1ws3xXZHsMrOhmCYMzCaDoLiZETur4L0mjSc8StaLtJAmc5lPWLTvhgnYIkmoveNXgbqWNmbB7hE-VnxSkX1xp2STaHBc4ARMrU6FLaZF4RzspHOsQ0yfKun3UtEic8ws62Yu0tIaeIUUabjuROwCXpKu0apJEeVWKuxxMXv9lYyNQFg2JlaVmJgmBI5CVu-G1RGTCzrCky2yIdm5Jwqp9RBu6RsVUQrPl2fGFmqz6rmDKlqxJxAJJ4tBV9bigMgRYxeVLgZnbAuOZWovqpHGVnWLDMu7uHgBajLS3VpiDG6qEeC0_9uVB1Ma8Nj5VFGNOMBBqaNQ2zhdZUw5Gj29lYgWqOb-VZRUC4iw5Kf4A9mrURtsudiyo1JAkz7BRvUDBGVllVoORgLUiUtQatO3wixIANLtxKlHMdBjf3UGqnJbMGfC6ypY0NIgZBC6ocPg4hQNOoys2b4m4DhBEDK51qODoBxBUUriAZBuVKoNnexlVlTX26RzdCIzBsUQ0SZkQrt8ABgnN1YOP02K1cEHuhYBa_SDGVAzKmoXnVsStSmLNmY3O6uo5sC20wpP7UXQwyLq2fRwcCJ_KzO0F3a7wQtWANJWfFDIkZB3Wd1TNsQQbjKsQ7QbyLcrVocQ0f77LI5x2H5VDNGsmRYpAYkjTNxhUUpuN7_K3rF3Wlp1MnELUTDB5c0jA85VkrYaSdvdaiW_oACZkYUrAkGbm0KIDoIgJV3EQ1x2kbrnnbpuLtOwuts3tRrYNrKsHc-Db-FZdClubSrROpcabD-yy1PUmOgRF_5WO43ejtqTbBW5XJQmbm6oUGxOf7I6xJ7gJgqeMyJh-ozv7LGtGp_UTv5V1KdjibYIMpKzWgOkjC0ycnSQbSr8LcTeCXSDB8rNUk6XXz4WUaGm0FdBwfIM_woGAt4QI9xZcRHlSgWIDgZVHB5B2lUO1xmNloMHzi8q9YHpmHTvsmrDPncKNOFpGyBgQ3GN0tYcCYypAkyCIHuFQhPdEko57BY2TPN4OyjcpjJMCPZVrQL8TZT_EvhWtvFkYnpr2Fp5Cro5sy7hDXSJ8pjOkLPvupWc1N4IHlTxMKKcXsfCrcg1O1vbb-VKqTZORCjnXaXIj-RVao51WPPK-45dPk7fiYcDq2vyuX5aVQXgAmFZVO2Xw0yCORZdZ_Q2MbBaZzmcn_AIRTSCRyqsUa9zBJuFEomuS2Q4GIB5WaFqRVfOHFYtpFaLRDtzF5WA7mEtIN9wmLBYT6cXB91G4MuEauZQaKbg5o1HzdWRTB2kEgDVtBwr4HfUBaGukEXPkpBSnBJJILfdbyI20zLRAsOFVUaC5xAsp_bNVYXtGk3JNpUnIzFngREgxwumjGXEPMEDwd00Up1cHk39lUUaWue17RIuJRcUBBphoBtshiT6dmyNJk2iJQ1g6qq4Psb4hErMwvDhaYzN1JWZV2t0UzeSTOMKtJf4zS91i0ht53Wbyz1ll6_rtFMBr_AKlztXXj1up1VARGFJ2W63fp9cM1t1AAwu88Nx7NGreQ6045UX1vpPIDzF4WliHUN147rxClR4XX0hTaWibBcuRXkN6eapdGBMLMuMeLtiJDSRyV2l1tkqu1VO5ptmFXPN9DpuoIIgy3MKNxvdoqMLQYnJCW4rwv1Hs1N3Izyscs-MPAq1RJbpIGJCxpxveOdWL2S1wte391OVdNa6VcPZm4Awsy_F1rovLHg647ZgCZRZdex-mP1arkDI1KK39RU1UKYDiXltzwivNdQqP1GQW2iFlXm9VScaoGfAWajLoNPUzJG6yM9NziY2T0a-lIc0j4hTGpcb6dMNaCHAiNsomqP4fMeNlYaYPbY4afus1GnpHsLdIJM7HKmNSa9WiA1zW7xgo1mPYouc0aQC5lsLUuVuV7vRudS0jUCOG5WuSvVoOa9_aW4AM7LCWtjXAtdNu2wF7qYqD9Mxo0iYJCngYnba0R7KxPote0teXbjJUqnpOJEGGmO0FL6KVgXkwGluRP8KCNUNbqdPgIrM5j3NJLiALouKdPSb3F7iNm8LNVpbThoa2GyJLlmxn641XUWNDqgaT-4G-VP9b23xP1Kkta18U2OkmMhE1U12wdLAx1SzgfHjZTl41x7rNX6ztLXVA98m3C5eNvMqVWEtYANZM2OFh0hXsaTrbYDnlc6vTO54dcyDMYUVmqNHqCQRyZystRVlSLCWngKNtdAzix8rlVjVSJ1uJgubk8rOtasSIaIIOU1KNCzmgDb4T1Iq6XANJ1HhMa9OCWFp1rNirU3hzbiYzO61JkIzPJe17ZETujJ-ndoe0zqvJAyjLce5oOsOcD7LtOwjyGvmCXTJI2VWJGrN5gYhWxGXUWPIE_CmBHuDPqcCD95UwKS6SCbRiIUFaTQSBNvys1VXEMBa0wBnlFTcRqtMo1QE0zmAb2F1KSLUu1hHzG5WMPqukRa28qtVRrjpE3us1zI5smYmTPssq4t0kQMfhA9FpLuDsTt5VWRop3Ak2H7kZvVaemIFoPwundO2lw7WHHsqyDSC5txI4yrgs0jXPE2UDucRJgE-ECdzWyL3uFRRh7xP3UGhga0SdkHeoNYBMA7oCYdBiSr8AdLhFrb8qLEa3tJRpMGRpLJjHgoFqiA0gTsSOVjkbSzIBeDxZcxSm0km8yLcLUkRppAxJBL1pfpa_-ZJALdiOQrfF3GWvLG5afCw1KzmxmLzMrC6DZe-CbxnZIOY6HgWLYWfqqU4DhGYnK6SQVadUG8AYKo1dLVOoWBCsHoU61he3C7xnRe8OEEnkKWNGpEyZiJzuseVmrggugTiSt-rCmuC2f5XPMVpoPbLbEmFqByRMgD2XT4KMcdQcL7Zws2i1N5I-rT5K5ih95dGy0mp6nNkxqA3dhSrEqrg50iDuDyud8EajRpmIMyIWNdIAaDANjyU9VZjtLycO8JOhqoutEytYHLeyQYnBWLGozvcZtYjhYroek7W0ajacFZrQvHkQMEZlZD02y3UTBGRx7LY0tgGXWjACYHa8iZFjKWISs6wIMAm0KZisz2kEkAHeCshHtDtMEBx4KUI9oiZ-xT4FuG4iSpBN3F_MpYFaCQBgQpgUtJdb4Cs8F2N7S5uBe60FeIeLW8IKUyd8eygYuExNigZr5NjPlVdUpOE51Om4UXVWw58k3PKM6o3uPhNbizZaAfsjWKPdAAAjwilc46QJnwpULLiJwQd1nGNaaeoRcEncJrX9tFNx7ZF1YYpIgCxPBSq10HmTt7JxHoUrNF8G0rrrnYfWdYEqekjTTNhePK3PEUp3cNTrBOhWo4G3mFlUtIkwYM_dYdIg8t03vxC58v0ptILZInlQM1xJzaMILNBJEFX1VQJDdjwMKVFGXtzmd1dxiYZ5Gm8A-FmXtrpnqM1mQQOFqq5rpETELIZroAEH4WoLtcWsIacK9JqercX4Wfvae-FDw4XsR5VvqWOLd825TIuiwAEm5CzfV07WlskNTd9S1emNQAOF09YUa3SS2beQo11gujTEWVYZnwCLXlYstdJ3DsMtkG8wtYxfTAXBBAUFqcm5PsqWEqvOBkIiLzJtc78KUS0uuRlRqJOsYmQrGxLi0CP4usKZj59sXW5cRemdYE24KkStFMEHkfytMKg85VQajC1iB24BygAM9uByUFWagAZOZW4lqpcYJJWt6QrDJMEJJvQ2tbLTyukgV8RjuC50YarjBAwdlyrUTAEG4lWRVg4C18rp8ShWAkXNlzpECb5B5U0c36jZT6fWmh-fK19XFxZxBIE7r0Txg4aBgg-VmitMaf9itRiueQBuuVbiJdrtc3WK04BoOICgYNAEgQOFoTMTJF9kMdBUpjteBukZcXWs666ToIbAzZL2M9R1zM-6wsNSeICFWacWlEWEuOYWqF1SMYUBNwNyrBzJ8Dyl6DgOOSCVNHCGftlX0SD-e3hZzVzVKLzJkap3VpV3TyMLNQsm0kwRwqUdQdZTQ7HAA2sVriDqBmBBK3oYywxJ-3hZty-DUxwJEm0XXSUMIm3wts24cOj6jIymuf_wDgIwoJ1CWxCaot7p2CIIZpxZF042OoSpgYw28gmMKoINxdWAyLndWjPWcCQLyVG-KBMWlceVut-qMcQM_K3K52KteBeZjdaQtRwdi26u4sSIsCYvkKXt0LYGI3yufgZoE8-VYLAA4yt4zYpBsfyjmpkYvyipPBvIKiGawNgi28jdQO25sbjYLWh2gAeUBE3MxKCbxqdE-6USa68RAWYGAEk5nZaDg3j4stA6iHRtt5TY10LaveOJU6TVwbkD4K0aYicxBRdAiTcyBKI5hsIyrIVxMEgDu8pWaQm9rFRzGCO4fKN5TgmLkKtEeLZCg5hh0G5hGZRljgZBlGpdcbARgKVL4DBJlbrAPtI-Vl08ISSMoxLtKRF5uMKOlTe-0bqVL4DRdsmFcczaTsQpiP5DvaBDs2khfcV8pkTLfTBLTc_hYwdTeZicqXiRejfJ-y1JitD3GRFhsCMKjqb24c6VV1oA1NznZRUn3cGajEWhGNFhPcTOqVMlVpoS55MWI3U_EaHDSe6Y5iy510-A0CTI7eQsn-KhrRuL4RT02gGHXDvGEAqATAJDTjKodgbUbIAkboKYgTP5WpUbKWkCxgzf2W1VabDOomfhGavT1Nxib-FMjR6jg4GCb4gJbgwOgiNIBB_cVZdBFUtsROkxIW2VWgmXB0tnA2UG-jD6mSAD8KiXUAglznug4siPKqt9SrNgQNyjNTpMnS6D5KLI01emYabovJtPKK8_riaTTUcJcRErlzjNeT1nqPjUDLWzixXNZGN2TIAtg4Wp0p-meRUIafeVvekse50L4aDqJ2vyk5LHqUnF0ZbOV01fF9LXDAIxp4RHnfqNAEAgASY0qWSnbxeqbqfpYCJEWvC4MaXSdAaTFrQty43GLrngWbMxedluXVxKgyWyLAiITUbmlrGSI--Fm5fUteN1tNz6hklw4F1OXSPn-r6N-sEHFzsuVPxxnq6aZtBEXCjTX0rRAGqzsoNrO_DiNPbYZRqdPU6TtLaevBsEa1vIIplsfJRdT1lukAQ07BQZuopgVNYEwJPIWaMXVNOoFt54UwY6ga7ADfEbrIqxmloMj4WdGuk8Ogh8AftAQWpkVJEgg85C0BUYGi0wsC_Qg6-4y3bwtNT17_SPaAZPtyo6-vU6YnSCSWl2Z3QzHq9NWdqZoHdyVv409fpagBdqjUZkAZUxGyk4vF7g4WSCcOEgGJhQcyzREs3NsIELDqA1Fw9lkMKwdUIOdWCEWDVeQ0MDtV5nwri2Y5pY-NRDnRhRgootAEOibmUagMPpuguJ1fb5RpWp1TWYb2tHsD8rPIY-rfUcYaC3VBsJnwsA9IH1Hlrn6dLT9RwgFdzn0GuHqPeHAHTlx8eE5NRgrnTWAqD0i251WLiuFvbpFarQKRfpDQcSFFlQkOuWw_wAYhYajg0d0hsnH-y510Y3ugODryd1CDSbrcHDYb7o02dNDhNmuK52arQHu1Q15AFvCzg0tOqmQ03jbdZqg0Fn0902JCRT03tJDhDQLAwravjg_VAZgGY8qiwLpnW5pdtKlhIh1Gqm-57XXM8qI71CHX-IT6j1Gy-m06SCSD4XdPiXUVdTB3AOm8BCVENDmgwRvdUSPc5xDoPKBdct0SPFsIASHRJlqzRVrRkH5UCgaiTi-6zbFPIa7kzeFGgIJknUPCNHZc4IcBvupRoaLyYt4UBB0mQJM2KzjOATJzpUwO24OCrUPTDnCxNxibLMbniur9pMbqs1ak4sPa2ffldInrQ130hzh5ByqycMFxgeAqsVaZkgSArO0M5ogSNXsUwc1wLTePZZHNF95nJQaBUOLzygApiTqvO4V0PJDTvCLgbC8jeVFI7_uHsqrhTawkuGbnhEoPEwpYT1nJ0l0AAnfhcsbxRok3OBlWFjZTdbgtC6RK6rRBbLe0wmIw1IJcC0WPC501nqt1gzzCzjcT9NzmtEgWMrNacBBBnuMDCkgu1oBmZm08LXaGdUkwZmMjlFX6R0nSWw7ZbkZrbSg5EO9l2Zig-ojPsmruKWtLhMHIWK1O1g8kA6g0YTtSvbpOtkNEXEyk_sdTeS_TMblJ0NrXgCYEroGdUdbEbhYGhrrAm1rFRnTtfI5hTLECqS-8xG3KtajO4gE2AWK1YVxgAm48LjYQoeP9UTgQkbjvVO1gfC2rZQ7SIuSFYLF2oOGSdtlKqLwHOkCFyrcrogQAADubrMa1TYH6pW8jSxIgg3aBvsshmHW_czurKKaCD9Rg3wqJuBAMgibXus8hM05IgSRvNlKs7TfFN7jN4WVxL1IkmAAbbIgiSNRcLbKRE6jg7kxsVQAABpEwBzlUKAWEEWHKgrNrz4KAOjWJJPIJygDWinY3ObIGcS03INshARgAGIum4GbIbAkxfyguKkxknYHhA7KhLtJ-kmPZGo0U3aDGG7I6HDiR3G07omke7utAWbWLyUYTIJOOFfiTv1ooiN7zhSOjWxwdqsNS2BpcAYPxssXobukybAneQkV6NMntAzuV1Ypw2CT9pCyeKNMAg3C2ypTdJmLeVEW1QB26VcxIDz2gg74XPk6SoEkvBJ_5XK-tQcsMTPnZZU9MEM1iJxCC7TMG_ytxMXazUAZMeyGuIIdFr_wnTGgTxAgqZtagGNBH4WsxpIEti_yoG06CTIJ3Cm6CyfPsrImHwCBvspe-jqJup6XiRthX4zvRmyT4UDft_sstKhs4M-VYy002wAI95W2HPENcATfdFJqtEn2QwjxrOdpuhv6B0CDB2EJmB2dov8AdUwWkl31BRv4D3B0iUZxEmNvuohC83kSjURP03uExss8CfCmClPYabjEbK2Qa6QvM3PCkc7WqnkEABaZUtqg3PJVCv7SbHxZAaZ7SJOUVQExBPwiKCdA2PutphS4EYsnzUWoyP7rpN9TW2nGk9pnytpuVF8wSPsudi-slYkmNlyrUSNjnGFCKM7hJ2W5VtJUqO2sTuoQkS0CLLNB0ht5skFGiSJwn0aKbtyAF2njJwwnFlrNYvJpZTIbM3V8PUXvOoi48LjW5HMgHjxCjQhkiZGdwmJrnk8KmkI7YmDCyul1AEwcFQ0S0ZzGVpkI7ZiFr0SJJ9kEHuAeJNuFlYPqCbYCCtGoZvYcK7DF8xsDhX4hXDuyoOFhcoOa6Y48qh9ZyLqDnPAiJcpR0CZ0i2yn00zTAE_haBcYBIso0NM3EmfJRk5aARwpgYE82tZagpgiLWhQGSTckeVsVY6IESrKKNcTEACcLpEndVnVtqCrFd9QO07KespuJO-yl_oc1pBF5HKQOLmIVBJIEDuIuED0jImZ8qQULO3JJWtEiD91AjgZFzbKutRnqCXAjHC52Oh2NnxC14x9FxP3Vax30gTIPlGQeA4XRpKDNhedlhVmCJvf2VRVkARAB8lXazasyLWCrDs4ICAEk7mFPg7VEDcpARGxEq9QPF5m3hBxAPlBKoDMbHcKBAIMSSqpzaYlEG5EwJVHF5IERKgdgESVYKsIO_ytEtMXTg_dGoEkx_CHhgRE8WRm1MyTOVqsaI5AspWpFACbwov0SDblBOpMC0yrGbSkke3CywIsVXTj4Y7_AIU1mi0HSRNzxsrqUjzpzhGt6ScSIAv4UTjCueT8bKOhQ3UcWSMWi4QbDdaYdpCD-Q_VwHgNMQLgL7avlEWvL3ZzuVA8SPCouBoaA0XJkIlM4u1NLgZ8iVVFjBMuJzhZXN7bWdrSdW1oVGWWFwIcQd_Cpn1WmdTpMQRkLK5rbQaLlwlxF1JMOMVcwuAMmCOVOXhRpggkAXmFyrUXLd_tOCq0AJdaB91kNAEXMxadkAY09smZtK1gqKZa4ajPgbrckS1Zh0A9wO4atYmrUX31awHHIWfGGppLgIsTkkqTW1C0lhmYGNvspurGMiHAHu5BWolqc650zPgLpqGa40wcgzfyoL06ut0iBAv7oGZ-of5Za7tdBsVPyGRtRr7GWtBvAUtZq9Oi0uaDzPwttOqUzqAkxMZUGTqek1kNJIYf3ZlLNXJWHrGU2UGtd_7mrG5HuuVkivC6ullwlwCyJ9NBqEkkFB7fTXbBAjOnlRXqdNAbaG8nwu3FhraewQZExdaE67dbYwRe53Rrt4_WMFMvJd5NrFcuUxzsecx0kmxt9llqaydVQ1S4kSfiVfPGi0nFzZbcjYHC1t-sh6zocCc4CVhj6guD3C4jcKNSPI697fR0tdOPqG6zmt3yPJNAkHeDys3pltowHCJBACixZlRwc2Sbm0IWvS6epqqsdJBBzK1B7Yqiq0n6g3LlLHSIO0y4bNJLd5UZc1mqmHXdI52UaZa3TlvdEeFB5lUOY1p5djKxYOLw4w1wzkrGDV025J0ycKwVgtJcVQzpIbG_4WRqoxfUbhIr0eiqF2kEwBhab17vT1XNAk3mxUxqV6fSPiSRI8rXrb1-kql0ON4sb5UvSPTpES0NIAG_hZAc2G5EbEoVzHO0OGqTxNis0hdQYe7Kg5lVj4s0vm1kahgNQMHTzAQpHUzSILcgwIN0ZK-RqtfcoaT_ABDvTIAlzrR4RZUzVaDZry6wLfKyObX9WoQ6o9upuYvlZkXdU_wIpu16w6mDLtRu7wlm9q6tWcCwMGl4hznRiFm0YH0KlfqjWfUFR5Jt5XHNrpLh-qc97WiqS0zEJymLEGyH_WQf2g3XN0hqtQT-0mRHupjo86uz1KziCR_dc7A9N8N9ORa2EbizKmioGkSIuoNTHGGkCS4D4ClGujUDragImy50CSYLZjiVkVaP8v6w0bFAryNJhxaW3kFF01OqCIL5ncbIbU69YuMfVq_CILKrS-50gWkYSJHq9JUc9kAx7r0fGKlXpCm7uFid8Iic9rr_AD4RuVme_SJbB9kTSGbd0cEG6LK5plxufNrLNNaGAOaCLAcrDQEQACXaBmPws_VhtQBBcM5WlcSALrNao0iclxH_AMsfi6lRqDoAH7TzslXVdQNGL5UlCmgRBJ9yrq4DZcfbKlTFmSP2jTyFnw3FgIABgeQNkX_VGtEzq7vwtxiL_wCnud3ZlaZOwuBgbZb5QWpkBoJ7hwtcQSJcZB8RhbCPc5ovsdt1zDUgC6MkRlQaqbpmbcBAxbEAmIvCmNp6nNN7x4WkjiW6RmFYUtR8WNr4G6x9TSvkuE2jZaNM6IuAJ3V9WMLnOpuOSTa3CxZGtxei_WwEbZlTG9aemqkvJMzaJOVqMbFqjzrvnkLXqsdUXdJN-ViiEQSC4d15Wa1CgAX1HiwXO-qFgYDpPlQUoxoxgEGCqlK94aIFxwoRbp2mnebyLrcpXqdMdVp5m2V6E-O0hsgXHEImi2XQTt_CxfSK6osHEjkhWNQ31AmznC6clcy5cLiRlQaW1PTgGCRFwr8DsIc6MrNFoiwOPsArKz9aKWk_aZ8q-tGcA0AuuPCgz1GDSdxmSFixYhVJIsbeVyvqCKcNE_K5tSnYZ407nf4Wtxq3GymBIc0wYXSJLtPUaHDMGcqVpmc4suSTeIXOxVGuzaDlZx0h7E_3Wopg7s9-Fmi9KNM5KzBUnWQYiLZyVrVI5piLtGIlKqbm6bDCZ0s6QezX3SfIXP6uovdoEEdp34V1kQdTRi-bbIJuAYTJLm-6IVztIsflFEVC50CA0flA9gIdPwhSuI-YkEIHY4i87RZErjYZtwiuEanXIugd0Bxg6huAgrScXA7FAZANs5KCzAXCfp4KLtUa-W4MTeVqG0hqHUb2GFmzvUVpvLyAMpVjVSfOZnhYdI0taGv0jBvIW1UAl3krFqfWvpqhbcq8WdepRcMgFdsZWI1C-eFLAxI0AGxHAT-0PScIjn_UposO76QT8qidWRYlwgrFaibm7zPCxY3DUyHAaoWYq7WzE34QUMaS2YRDU7YJPEIyYkzGdhKJguIMH4KmtQrr_wAKz1pKADcxwroMC05GZU-h6bSXEggLUwM60xbys1KXWKhgSTiVqJhxDWuvqB5RJAL9MTAMRZc7MrR6QIInuhbiVrcYpy0wBcrTmkyoXGJRZcFzjOAB4WGt1ImGi954Q6MAXHJBn7rWph3QGqqUTI9lIt5OdDi6D7FGEC4OJP8AKjWS-lLhG3wqt68RcJvdTcaTaC0z9lnsaWggifkqyJrTSdxI9lpzvrQz5KqSKC0ElTVdUaZBJKt6WTRYYM3CkL6q0h5Frqsi693C6t8VzRAuQPhX-kbOnALYN_dd5452NLhIC1O2c2s9btB88KZrowvGo2JN-VxsxYQOtcQeFiqam4HASdDpkymiU9wbm95S0M06fAJ3CQVpnt-qXSn0aaXcRN1qXtmtVNt4Ajyu7l9WBgHPiE3G4lUbLt_dcuUaI7tEXJ5Oyzsixw4OfCzAY8wqqZJzCywlo1SbkTMKKZxAaQIHgLYmCZErcgWo-JlKjNUMk_hYbKzVBt8yoasy5F7p9GxjuyC45vC6_GQeAYveVjMETUh0GBBUDktnM8K6CJjMygMYEKAtkEnKkHGpBAwNhK0DrkzdZ1Y5rpxMTwkqLNOoWueVRUbH7hAC-8E28LQcYicKB6U2m0cKxGlpIIsIXSMzoz-B8Qr4uFLSAI7TytcTI6neDPycqMnsTiAjKjSOYVgFQltvyoBTJmPlFqpcWohZA-UE6mCioOcNYHFlj66QW2d4S-hoIBIFloEjfcq7ApMxON1fpqZbEXXO-miHyT-0BZFWO14K3xS-Ka9MNm60wLHEHJMblEOTOLypRMmCb3UUzHzEYWjxVrRARAIzeEE3OBBiT4TytSQmogXNo-yvrX4w7O4C-yjNEEuMDayqV2kgg_dRFGSAeFQ2vTaBhXxXBxIvhQO0EkW-VoOAIjjKIQCHWVc_rtUQCJUb4mDzGcI1hhfeYQhXC9rI50DE3_hZZcGha-OnEre0kE2ODwgdgDWmAhYFUjVBuOEYsTIgzEo6TxGqIEjVdYCF7mgCTlHIzX3Mn7hbDTOxPsUH8hq7tZcNjbEL7Z8rv6QNPTBBsEi6ZlUmJiAZnZaStWuWNJvGYRCkkaYcUPrRTBEG4jJWFw7mwzuMGctVgLQ1gl0g5mEqq0jJMXBGIUV6PTMa5o1SDG6L47qSARpmISpIIJZ3GwG_KxyjRnXc0SdWVzkqnLbXJ8tKAubBG5O6sDtw4mPCvIB5fBmCRhWM0G1DIADV0_xMaKTS2JgRiERuo7tffdMaUq91MgF1ojws_i08940PcXSINnLLOEqVAW6iTzAWonji-QDdxsD4WxWhqe2xGcKUI_0w57n48XXPqqmH6iALDZJ7hi5eQO7xAH-66IrVmqQ1p-UaGpSf6ekAabSg8P8AUGGrWdH0jM7Lnz9SPL6kdukmFhpjo1A1xEkFtz91Wa9Tpq4c7VcgWIKjOvRoVy6A36dwt8SV6lGt2AuFuV0UlUlxLgJBsSjWvJ64aiYkxmVjkywCk0uIE8uWW2P9Rq6HNa1upuQSsjPRefVMwPZNRWpTIJgkWy7C3mudYnVAAdVovK1jUeN1wLi_VfGNkarzgXB3aYjlc8ZbaIc8GDGD7rFmCxbp-r6f9LdlINvRRacHcrU0e90dRnptgTEbKXXSVL0C2tUqOJF88IzaasRpboBx2icI3KnU7qbiBqA5UNeJ1DXEDbyFzvHCXRp0RSZD4JODC52jWxhgQDPJKsFAfUcGgyBZUBzDF5IBUofp3vjxOCkHpUBJBj3Vaj2OmJOkkkgbQqa9fpHRIAztK0ba9Lpdu7J2THTenrUKkxkTuOAsWM6rIeAGucQOVl03XEw6wBMRPKYFeSQJMBuQpYJv6mmGFzZBOLLILOpixcA2QIQOSX0xsJyDn5WglSm6nSsYmJGVKJO0lrdiohwGhwdYkCI_5U1vWDreuAnS40y1oaP9QKaf0p0v6k11IspkhwsSdzyPKzLsWzE6PX16VYU9LnB312BsueWDZQ6xjK9OHBobcyN-PdQZv1nqPXfTFJtom-fdcr3XaMVFh1M0EFwB3wsVpT1YdoEnyFI6Ss_UzTZqbPcIuVmxU6dQWwNVvCmG1fRB1iTaIUrUK2s4OAvc4Kit_T1NTrAA4WLBebF0if5WKLUXxpB0wPlQKXuGrBHJ4QTDmUtQAkoFqPaZgmf4KsCsvU7nC4mNlUr1-krB9ITckWJFgu07jGGqO9ZjgCG2gyriYg4iIIMAxCkgnp-lx243SonZoMWnYiYUtUjqmtwi1xEDdRvj4sJAMkXzHKw0b1S55ANowVF1zKZ0yLu4CDm9zTJcQHAE8qU1VjrGD7SoqxYRBBmVBookEbZyVhYYhpBbqOPhVuFdIdaMXKLTBpgusLo56sH3JBBJ5Rnd9UbqIv8ASOFYpmv1NiJ9zddGVacFw7bEg-UF4hpE6iOFviCwSQCLgWjZavTSj75ELnjJGASBiTYhQaaTmhtwdWIK1BVxJfJAFslStI1HBwHvhZ8T4X09Ia2b7BUjtJG4mcDdCufIkk34REzULmAkGFViNRgNxN9lzrrPAaSywgeCpGFqTtLwZBIv7rpBdxBM7nIKCbxJcCNMLPItRc2HbCVjW4n2tc4NNjcrAi9-l28HKLFmmzRsDsrCqkhonDcJSGpucTFgdpwrFenQfcMiHcxZelKppDsAxyjGdmIv4_hZrRA4gEERwFIKOfoZAtqsSUt1qEa4tcL_ADCyNbXl4AHb5C1KgtDmyD8Jy7GinNNt3WUSNDQYGmJJuo0u7S8QCBOyDHUj1Dpz4WfDypuvNgdoOVirqOp4bfE7LnTFaZdeLEHCyjRQqXLQ64uty0VD5dE85C6uk8TJLnC0tM3WL2pnSCJNi1YsdOJWui89vCy0q18DU7A2Cn0WpENHv5VGgPa2mAfiy1gU1dP1Xm0LFWOLg4G-2QtLWSoZJEfHKxRDSWkk4OAsB2SO1zu7K0IufrcW2E4KBvqaG7cxhBP6HCRBWoH9SWiRPkFKOAFwRI2nZZHNa4keLIKFocCSCSNpQFoBk4E5KBy6BEk3FwgAcQ-G44QWB091vZUU1HYmLILB2jYA7QtT1PqLhqfB-rJWaq9NvcwzYKUaabywg_NlmNb1jTTcbgWGbq0_JWXb_CymtXTkkYGIKRN16NKWQQb7r0SDVSkibfdS6LOOs2MHFlbOhze0jYzsuQrOkgTErYLiDJMyfCzZq-paXPMgT7lZsbjmAtiYMlYaWa63-xUDuOlx49kFWXJj7LPtQxhrwDYK4al6ji4xBE3CuDiQD_2-EVN51OtjylC64gnCyLU3yDaW7K_Az33Em2FNCtvcFbjMcBEnTI4V8aMxtjtfdYzsWpEtcG5BW8ZrUHAsLYgKsJvbpuMqUwA46fG6yFMEbRsqsEN4A-FUpy0yLflUTcLgm1tlidVqxzoAAm3ha1jGd7pNseQprciYbEk_TKutucZBiPB4WOVAptmb9vJWoLi4A2OFM-pWlgDWzMkI5rtECxzytfAzYcDwiOc7UBO3CrUuGZqgmB8qFuqFpaYiPZalSDHeZMyfslWiy5CpZGzp4m9uPK6Sua9SNI44C7TpmTGWu8EWPwp00xVbk-Fz5NRAmDN1yaMKkPgYRkxJAknIWRGqdTh_KlFWG0KhmGXYIHMoNbHRH8rUStbHgEZ-F3l1yvq0g7mEpLhXPiQAsW_G0nVNOYHlc1CQTLeEHRknKbi0DDpWaid2RF_dCA50ZvN1auA4D9v2XXj4jM9xmItuFaIl0l2QNlz8aKCbRYeVMGii_sAJuUStLZGbQrIji4FkkLQz1ny7jCw0NJxMg3Te2aoamgRGyCjHX5QMXksMWH8oJkAGTvspVhgRf3spFOHAkRYLX-p0tqEGLR5UvRjg85gxKqjcmyzrJ2BxFyFYL03AOglaVekTqOCCukZUMQZE-y36pBDhO-QtTIjnEl2PmVlm34eJsdk1gRY2v5QGTkxndAQ4FtoN0V1xaLjMqkAE6QJwpFswHkxymoy1SCZAiTN1h0gtsLEzKiq65aALgZW2aAdpN-FIQXPDzAWmb6VzTpIm6lQjRaIvuVydTB2kSJEcqzRRjtUHYrpGZPi4bINySqxZhSSMW90qEDpfaAeQstwzCTjIVjK7XTZVCuEyT9IQQc-Tb5KxyrchC4TEpxrV6UZLoC2xbqohgRAL3bQOURRjg46YstQNp1HwqCbABuFmqOu0OIBWk00wTdBMPIcUc7dMXahKN8YDSbo6KgEGQAjNoPnVMyjHIpdIF1msg1wcTlWNy9CXBoKpKeTpRpKo4auPKMUjiXDMhGok_EKUSAk3wFn650CSxpi5KviGD3gWFldXH8i3EGQM-V9zj5P1NzyY8HCBNOjAKL4oHwPZEVbUJaBu1SpyvQ06v-ZBJ1HCOfG23K1UyKTAzUXONzKrvIpRa294nlDFGAs-kg_Ch9bKDgAeVlTh3qw0yRxys6utRDWNaHDNgOFpdRLHXOYxzC51NVYwPpEidUZ_spOOqZh0ugAjm61JinqNOgwAfdZ5DI97mul0kTYTZSsVVvfT1AXO4W-NyMtVGQGyDxG63PGmyk3IgwTsVK0Z7tA5GCZSVXndTX1O-oRFrZUt6EgQWE5IWJfgcAsNjpBsQeVq3EVDi0mOIlW5QRdrbHe0LPUVJwkaiJjIhaZrVRaalNzRGkj7LRV9PpUtR2gAn-UWLHW-iTgON0qvLr9GHhxHBPkrnZo-a6qm574OcQTCylYtJYbAQbXKrFbencSQCJ8LDL0ulc0PAINjlalxXrUCHdoJIzIK7OirnDucLyLTaEZebVYdTi6LLHMrA5wDzGoCYPlcyVg66nLb3scbIu4yULF3aC5a_Et1et3HSTBIyt8XNi6ikXB3tnlWtR4_V6WwTkgZUdHngCXNzJzCiNPTNa11pKwKV6gpSZvuFj6laKFfSxtjqP2WiPX_AE7qHU2HuB_7lanjSSaj8kzmDCysujIpuJuXjB3UaI4tp0wSBHBtdUYn0u98hoBwFzqxmcAwyTPyuanwZFr2hBQNJcSyIjG6BHa5aXW5AKyKUXywXge6sHpdC-WiZnaCrZ0sr2uikNABMvyOFuTpXp9M_wBMGADwSlMej0lV5aQDc5MYVnLpHqUKnqWkyApmrGgAsp6rgG0EqXi1KEjU0uIF9iubp8GvWLobhuJGEZZaryA0G4adlGhpVWlhMkxlBfpiA1rMgSZKyKgA0ySCCAg8-q4hzQSQTcEKasZq_UVRUbpLjoOZFwojJ1nY7W1uoG8uNzzKzW-PZWdS6hT0ho7gHNG6eQD9McaPV1XA1HVP23MeVnRs6inT9YOpmTUMhpNhynqw_VF76lMaSBZpXLk6lpdO5tUE2JBghZs6bw73tY_RphvKxFjNX0hxgkngG07pW0Kb2kwWlsYsitAqu3EcLnVnhXHVLjdw2GyzVXoOOnBMDMfysDVTeC-QCZ_KxnQ71CNhYpgqyphzjAAmEwT1skC_MpFF9ItuTIKqIkzcc7IPT6KdESYj6V6JmdM31rsWkkQY7iePC36jL1Diwt0EgH7rGYkRe4tIkn7XWc6ImZJkEwcKKZjZJjHKVqGaHZ2GwXP1TAy78wVBSk6ZyBOEDCZ491kUazS4kxKNRQvIb3XEKU8U6d-qRMOjEJTfrTSMGLC0XKyRN4-kcZCuN09MjRHI-yhJ0ppIMOILdkY8NSBBImZC1PNFA4Mzed1uMtNJzYJmDMK2YCW6HNEDSf8AQtTsjmOcXAX94hatkLFpJv2yDysaGaIE9ribwFJ6ur0mgAFrfP8AuqpngEAC43T6yU6GtAJEwMrIm8wOfblFhmtGnPf_AAhouaHNBmYF_dUZahGrTJjMKE9carRTDplpKldES0vkEiBeyx5WVaIi2wPErpKNEkBsCYyqjqxEEneMLne63mpsaNJjUQMLOLJiVQyJMkOwAFLPrSDhrcbkDys7BWn9ABEHbx5SepTxqDQBveVfopSaHPFhPMqxXo0Xh2o74K6zklazOYtIXRiVzmtOvMkfZZtbT0a3Z8ichRKFRpdpkX5WasAFotON0VbpyNUQbjYqxLGsXdfbBKtU1ONWqL7DKmi_qFtoGfsrgprMDVspYiT_AKgJSyLNReILrCTe64URa0gSbtPGyxWtwadTSST9JKRI0UjDpmSFtGgmziRMi5lb_pqUJwJwLJmOkqdd0ADA3AWOS7pWvMSAVzrUUYdW9tlmztpoomDe5aqNbHammD7rSfSVGm9yVLNUWEBpImVN0QrsMNIMEbOWa0z6oEmIxbKzR0t0wMk7q3xUngCSJ9wkuxDtqQybhqAarj7eSrBEHS46oIHOy3aKBwDLWJWcDtc4HcRspgM6QRec3QdqmBxlIOe7W2LCFcDU3kgWBKyKTe1igdnEmDlXBXXa5myBdVgCDcZWboo0k07WOFE-tdB0Q3nyteKs2dUE9s7p6rYLNA_1bhZqK0vqaTeUg9Nj9RFoB2Xfj1BqptMxhUaA4t2mBFkZK10mdospjSrO4zefZUOQY2jF1gLSMEjdYdYJYS6Z-FmqDRDpLYbwFjOxR5wIg-6zYKsfaxj-6RKZ92AgCN5WmUHXvfF4VbBrjq_1NP4QMcnCtglAi-ZMrPoenAIiQeeVm7gtG5NxygAE3_Kt6oNMjUAcLYqADtqCCjDturEvi2oac-6ViJF2qYyL3WW8cW2A3N5UZwRkyMBA1MaokLUZovhpxN9jhVviQgTIJzlZ0pXmPbeU1hnqHQLHeyzrqWGm177qgA6S4b_ylkFKbReRm2VkWbO0Sms2_FKTfsTBPC1GauWFtpM8rbJmAg8pGpmHiCZ-6msmY3VcXlUXtoN0AewGRsVNDMBY0iYA3ytQWa_SR4Wp0yo92oScrqM1cgCxgeVes0ZHg6p2_lZs6WIPfqxB8lcsUrHy7EwgZ75YANws0AQLA4ylFfqO3vyoGF2iP-Cp9T60UiZaFv2K1UXQJBnZdONYsaNUwC7K66xnRC6BBBxAWa6JFwDfdceSwWWObeVIU-JkpUAOaTsFGiuAHkTgJPRJzhJk32hAdZtzF12niVlqsLpIiSlRA5BjG6laFo1g2lZFKYkgmfCg1AgN1RO1lWQebXMLQi6ncb-6ypQ6XgC0qKc2MG6qfVKbpERi5WdRRoH_AIVIFN3IoaQDfKkVWxx_9rXzExzJJuIUVoaZgLTJmC1xugYAlosgpTZcXugtScdRF_su3FPV3dwIHK62azpIgWAkeVhuUuqSHRB3CRiz6sSYjM78IwFxacIHzi_koOYRJGUAc-NUpqxIOONwUllaI9xB5KdfFkwhF5Jk8FYrTrMkcnAWA4d3Y7dlvsLMOtJV7vqHaBPsrGKLhpNxJ8FK1CuIbbfhc2haAQc84ViHY-7RtxC3F8amkgmQq526nVbLSJBVrKIaR7Lna6w9N8HFzvwkZs-rSReVtgjnwI_hGpEHEHBlYvbUvwjQTe0rMaqtM3MkrccVXCAtBI1Cd9wpW-KjNo5VjP1RpJMCZW1oubcHN1msu3mBZaYvTryULXNOrYgoyYGJm10dOJmgSfdGli05sgg83I3RPupEg2_KzQW3yYI_KsS-CHar5Vc1g5rQdQlG5yxnrEh4AQ38itcQ3N_KNEc-TcfZEl0DDjiAo5JvABEiVlUy8g2MDhB_JAw4uMSvvnyk8BzSTYW4WApf6ctJB4hFLrEkeJQXYy04twiHFTuDQDJ3OyMflNxbUZgdzmqfXWnLyG7Ra0qm4tSeTAJEHcKL4v0z3NdJdEAjMLNG6jVY6Lwff-6nHpcM97yQRmYM8Ko6m0kkk24WLx1n61UqWSJDY43WpMbc6GEGx34WglaqNJ02nYrnyrTGWlx1EaTyLLDNP0rwCcROQVUbOnnXJcdRkrqNIqFl7xs3cK2yNl9U1TDhA55WNujL1FWaoH7f9K52gDSOTxCe9CrKYB1FwPiFqBzTsXYHk7qiba4JuC0xeFnq9ppBV7mwLG1ytSstnQ1HVG6W_U3cFbXF-odUFN37mm0HZFX6U6qYa92omw8oqNU6pAaWTIT4w-Z_VOmAeXSNXPK4XpfjxeogCbiOBhRyuhQrQ9pDlpXr0XanfVsLArI9jpmkMaQYMXXodNWqvs0EgRklEYOqcXNJBMi8lTlNSvLrDIjC5WYhGNF2mSTeVcGZ9LVUiADsFmoFYam6sA2IK1OWDL1DgymSSI2hX8taj53rXai4nczBKvxtkpF7tIB-Fi3KjZTd6bSS2JtPhXdaRe7WZn1DEAAXWeTNVZVcIhxkC4WCPU_TnlwgkSRxhbqWPXpvxG_j8qYTSHW8uIIAablZbXqsLwdUQdsoTtGrQgtd9MjMXhVrMeX1A_zC4BzgDGNlzDtLWv8AqDrLOBtRBsCDGUEiC6JH_wCkVgM2GvGOBdQbekLhUaYI8HAXWD6HpqlxcxvCqvSpOkiA_wATss10kejQqFgsfdac69Dpnt0y2ZmwVlNbXPLy0OdYCzfKvrWla6bOaAZk-yxYunkg6f2i4Oyy1GevdjyBpnHkrLRX1AILR7gIHZrAadVsW2UNaaM1GOBdsLcIMnVj0zLQRNy5ZoxPcHGnYS7JOSjTF1DQS4-kRAiTv5WasuFaGvZReXhjpte6z1Bd3UDUSQDoMGNgd1QfRZX6o1W9okCHfysjX1PVNAeydZkCSudx0niTeqDA4RIIsQVi3I6SkHVGrqJC5X9iRFg4G5wtStylDfUMuteZP9lK1VYLgdOBaVj66JFxYZm2COfKzUXZ1MT3SbTChq9Ko5tgAIvJ3UvgJJGQXbyFnADXJ_dI2b43VyLh2PJLtOdvCwincBGoEDBSjOXEEw_fJW5B6XR1D6uNl04xhsqOPpggw6SJAW9Y1jcZeA6dQtdY0CvUBESQYwQoqesNZcyDxaCogeu0wYLp8o6SnZd0DfZZaNoLCADfKlFWmC0kk8kLK4oXnAuOeFKGpuxsNyosaJgSDp88oUaRBJIF4uU96FwdeOIj_ZXFhdWogkXO_KVuL0yAOZ_lYXFXX4lRiph5EkXJytyxzUYC-LQJskGmjJfBt4XT4KubckNgxEqbgLJAJNwFfV1XtF7H3WfOkGA0xY8JqxUVC1skrbTgBaJjeyzf6Qrw5rjN4zHCYSlY4uZa_soyAe5pccXCDhViZMAbLVkGesJcXF0SLHhRpweNGkCSDkqGlYQ03BlYpp21GzY3JSdqvTeDeLYklakwBwJGnY7BKsqDjoMAlo2UdHB0mTI8LHJKUM1PJ4vIELmkGJJAueFqFVpmAAQNW_hRFRIaDAPstNRahLngRuJutyX4V6Ia4Ni5EzldccuXR2OHpzpvI-pSt6kajdgSQd1Ifk57iSbSN1LDSQ0AOP2Cy0pScIkWWorWHktHJVvQem51PPcZ22WRWk4S0yZ8K6Voa7WGyZPurdCPuSIi2OFiDI6edRG3CxyXCvIaIac8rln7QGEau0bYnCy3uRpoO7TvvIN12jNunDg50EQ3C0hg8tBBdB2lNa3E68taDp1eBuuVrc8BrvqBkRxss1b4q3tMyT4UalVYTckf_KVY2207AWDQDbwtBidW-q-yWdBCXM4BHC5iFU63lWjLUeQfmI8rDWol5IAkHMoKTraThvCZnQ5jtAFi4TtwgDnDV23O3hAhcKdjfdBwqtIHvhago10Ak32U0Go6AALeVvQrXZIvG_KxoNSoS6wBjhXQzHERNospRUP0gyZ8qCrKmlxJM2sIVlHOfsfmFaA1zoM49lkVouOnYRcFBdtUA2mDeye9DTTrgiMk4lZ8bk2NtAyc4vCTtPxaqUttgC6vHpls6dxF52jC6wbaTyBcyt70NLaupozZTtkofLpNhsEF9YJECLZV_pY47TeTdc1c0ATGeSs1vxdrQWm3uVntYm4XP8LNjQTIjfysjgSIM2lZgtr1NvfwN1vAhdaOb-VPAsge_CmhoEC0krYkNRMiwwVNDsgm2fdYtP8AFix0ZHJSXE7-g0nUIMBa1TvGjuB_4U1KOuRLZC0x9Xokzp-cJCn3Mk3vhW9ESLg42BjypvToo1zYjI_hWMcg1DUd_ClSKAdpJsDsrEqbjbHyiObIz3cQgnVJ0kkzGylakQqd4Ak3WcdADtJsZACvwc0y8O8zBUgciTbCfUVY4hvI4UztnPqtFwDjNpK3ErS-o0D6o2haSBSqEOICn0O46m8fCt_Uas_SlLtACjCrcn3yVSqRMHhT1IVrzqv-EU5qkbwrEw5eLHS4yusRj6h8OkXH8LdzFiDjqyMGFn3pSSC3EgH6li9CYnUBqjYqBqg1GMCMJRMSCI3z7rnV-L0CTk_dWIqMjYHCo0tbbiN1qJp2kAgwhqgJOmy6xDvcN7lACCGzadgFzoIu2MeVAHHSDBm2VkKHxHPEKxtwdBOzuFRncb4lS9VHB82_C1KlI5wZc3B24XREHOF8_CUUptgwDgZKy0MmZAWaL03TbnZGa5z_AD5V1cS1HP0grNp9SbZwxyp6rQHzmI8BXUx2vusQB5U0xoZ3Rb5VQtQFrje0rFHOgZMnhF1xeLRYi6tUWOJJm3uEguMiFYypvMStB6Zk3EKCrTiAbLUFG1dJEGButToX1jSTpdddJWYFQEz3Q3zsr0uFY4EgEbfZZpV2iGiNlXNxbnPKYgOcLX7twqsK4lvgoufSFxjPusVeMxMnQ6d_5Ua9K58mb3tCmhdJcCCLKKJFwQO0IGJhsEyFdHNb3SDEpvYoJcMavZdZ2zgajBBg-UqoPebiYXKqdj4FySUid_F2kkxcb2wuk0_1oYYaYtCf651N5gSRHg7rNXj6nr1Cfwo3gsP_ANKlmnBsZNk1PxiZ-rMo0V0yReylCNnVlZWqtMGxnytyuK5fNhBst4YR1hGLKLPXU7Rwi2fVrgi0-VYkOHg5tzK0y4mJhGaBmTaUYc4FsFAJJcNws1viowwIE-ysbN6hFoVXCmwMcqUqYuTP8rLJX3EEwrC-Gpi0HZac82qFwAF8qVEnkeoImVGuPqTnQ29jwmuhBc4ICjiINyCYuqErCBZRWZz3uMhDH8ky46-R4X3z5NYMgTCw42_-rGfqG3tB8cI7cb0FOkQZd9oQP6mkEEWjdFc1-owGyfCzUvGetFMidr3ko1DCW3Bm6aLsc59QuEXOyJe2km5Fyo1VKTyHC2LTKrMbW1BDBJdEqNKsqtaYGqYFk6FWV9DLgi90FS1rnNIPmSEaZ-ootYA4mJwDlc6lYy4PcGmROwURakNN2NJIUM1toOiMA-Nl2iyYtVIDRpfB2PlStM4BDS4dwAmVzozvLWO1OtNhJWbnwLReabw4vnSPuro1UDrA7YaTcKwUrMaRH0jZXl4jDVBYTDyGThYrm6mxthdoJurxuepvarKuio4AkEH7rt-UvjrPHoivqpjW4kiwjEolPTcKJA1QD5RV3U2lrge8TcIy8X9V6Vo0ktkzd658ovx4XV0AAD9QM34XNzrzL06o0mBuRiEZer0Z0C5DibwjT3aVb_LaQCXYg7Bd-PcbixAcO4SCM5lVfWDrSA0AEHGdgiMD2SXNIhsXXO9uf1CsNDoFgbNMLUnTSb3EtBDdJ5CmUTezWNYMQspJ2wdfBpEy4EX8FSeukjwKzNbDkX4VvVWogNbW-nImVzzakVqVeyLx4XbFRbAJJmYj_lcuV1Bqf5dQuJmThZRu6Ku4BhAgRhtwrL8Hu-vppiTcCdOFWtBtbVIa2CcwbIr0GSSCAbnGdllYevUEthkuiO0orxesboLjpcJyZWMwYg8OqCJjcEqUbNALb9oixUE_U0iC2TwsKH0O1ABx2aCi2Yt01TTUBcJGzZ3SesR73Q9QAGExAu666tvV6V5cdYkgHCXxucm0VJqOgH2laxyxu6SppGdUFMax6tKqKmotki0jlZRaq1r3FrSWtOTwhqdg2GEmLQN1h040pkMLWnVH4KZ-22ZoFNxkn3jCmDSx2uwMkmVExem9rdRuGn8qVUqxFV5izQCY3Kya85zBgtN7ydvClGfqGU_TcXGSQJaNysjy6hdT9QUpabWF4XL_AF0k0Oj6vXVeXv1wRMjIW4j1mUjXrue0yLQFgUqUfTJ9RhJGwucKWOkYX1mtpuaDqJOBkLGOsdScDJBGrcm658oVak10QXxOCcLKGe3sJ0gtAmVp0hKfc2SRq5WeSkdU1kgE2tMZWDaWjJqHjEoPQc8BgBGr_uF0dLQ9fvwTNsrGJukquDXWEAm391cGin_mBjg6_HKz4EqVS6W6iTKuA0h2DVIg8KymtNLqPScw6S4ERC6_HOvTdULmNEkmMJ8c2Nz9MNcLiY8rGasTdULgDGNpWs6biT3hwGZNoCkq4elTLpmLC8YSzSQW9lx-cQufja9N2oE5HjdL0KAwAZ0jhYDjEg_PKlBDgY7iZ_CYLE9jWn7rNjUNTf3WdYGLJOlaQ6WgQ7UNyVsjg3VEEzIiFzvrqo0AAnVJUFWw85JdcwEZBwGoTIgLUjNMwgE_u-MrWObS0WLhchdIKGoD2ahA9lnBVvdGL5HKgqA2mINjwgo1gIBGdoWpAS3ULumNlWqLXQNIdi4UxKSo7USIgxnlVAENiTFlKEDpJiDus0Sc10km-6sCvIdTEiRkXRYi1-rtib_ZRqGcNPaTqm6zYhabJdiTOFZ32PSpUw1snPCrXxGqQ2S2TvZOSMz3a34gRusVsZLmi4hc6CHZAEH-VAwbbcQJuUE5INnAhahGikCb6iVWmugdGbE3C2zW2m5zmmdXtF1uOfL07xYiIOYGSliS_EmUw4kzABusyNyKGBIBGZW7MdEolxgSdlxoenE37YEyVYNLXaoFgBiOVr4G1vBySRYxCzBSkdAmMqitMw3OnStyjn1WgRk4lZqep2LCQJOFz9aiQ0wL4Auscp0vwWgyQLnxeViMqEbCDewC6aAH6LiI3HCvdDth5AwQstdUtR-mSSTsEbM02ILR75WLg0N06XftClXMOwgja2FG40UXueCHOIjYLcZtXYRgZnJK1WpS1yQBHPKx9a1nqkNd_pKxRldUa4kG8DbKysQe2RP4RTdPUDQeeEDvJyO0ccoAYpnmdwrBB4k9skk42WmVKNJn7e4m4UoZpaGkgA7RKRY5zg4iMxcyqoth7CBJbvBWBwBpwHCSfhVKZl3F0TKGn4HOyhosqC5NuZCKfWdQBJI2MIKF3Z48FCADYGCLboKUnXuCJELN67Gtlntn6dkxuV6HSvaBBIjxsmGtlM2iM7q4ln1qoVACG5vMrcrLW2t2_wByt-C1FxidJiQqlOydYEwmq0zaMg2kbKWsicXkjlYrR2w4jULEQsi7TpBGqOEblxOpFsgj8o2lIO_xC53odkgzBNlN0PrIwdJCnYnrBE_Ywn0DWA7USlFmPaRY3VlCuGkzqhaQ1IgEz9yudxJ-1nGWmAMbKzK0AggGItgq4Oc9pjuB88LOByDBgQAJF1rawvQkOcZg5KsiUHklw91COvMtve4U3enQXEXIEBXcZpmN4I-E9Zqjn6WwBdaRn1lzxv7_ANlUOwgCASd4OVm9NQr_AKCQZG4SKzul2CdPCuNle4NcbEzwpYJiS7SPdY8ovFpNwrLtDjOJK32mKNGna3KyzVXYFpVxIt07BYmAZV4-ryUqOiBEDZW-mdGpmQLHxyjCzPvvlBQmNx4KCTSZJkj-6eBXGXSpqap6sAYK6zxGaoS9xOZVWM7x3RNuFPPFB8tETZW0CZAMY_KzAXgD9wBG4GVmqRsuIN7KRbV6YAHF1qsqMcDH7r4WRopi0nlajJ2vGu9wp9X4tovYrrEOAAQSPmFqzASZFh8rlQAJ7gL7qCbiCYmJys40E9stGDlXBN0hwAuVZRGobWPyshQdQj8qyguJqAGR91tKVtMuJk2yrvTIggPiPCzGzA3I83Ws1KdsNPJwFLEGo0QXC07qNRFzw8CMKUDUBGAYKyGY-0QY8rQq1pMHA4Rm1oY6GzITNE6jtJdayz8EyZBMjKw0LWgyDvvK1Up21Ym3yqq7XzEZPCayq2oHYt4Wg4MHVmNldDNJJkYg4WhVt73IQWYSLTnZdOPQJLnERHm6txBgH9s7rH1myrsaIsfM8rcYMTqBAsYvCCRGky6ASLko6WJufP7ilpEw6_d9lz1fHagZuVb4zqbgCTiZxspGxBFhqjiFfRU3bqAvvbdSp9TAuScfZRT6hGCPZSBwZkm4wusZqbyG4geVnlcWEOmJAkHhZ3VEANkCysF2kAHuutyJirHTDeVr4zReNQicLNiT1DSdSz46KWbOofhN0c52m4-ncKhTbIWWJ2BcHAcDMq62k60jJnIWRVkwfBVjNuK3zwujDoJgXBHKNC06cyI5RLaoDqaLTC3GSl1zO6z0K0u7OMLR6JOlxOxRLMjh3bf8o5gZDhYrNDaobgz4R1gOdLoJOrhXWtF2q8cJSpEXmSJCyhXTYN2VZtM3sEi07oSaLe42KiWOJmROFtjxItviVit6V3GFWSxfP2URKrUJA7tkWIS7awU1v8X8k2kjJmeV996-QWFQRcqY53jl0hAeXB0O4hWukwXHtnBHGVmiV3vDoAA5RZ0E6cGCRaFmobudN4OIUFg6Wn3iENbOn7QXF1xcjhF9aG6nS6wBuCN0XFQ3Lrk7oijC7MdpJRFC9wbLTHhTcWLUq7tIJif7qfk6Y1lzhTECxM2WrRkr9SDILgZnK4wrOA1pbqMulVlpo14dADSQcFTEx6FNstkdpO67RudHYdLmh0zP4WVTrmCdP0ShPWSo3W5oAAHMrlU0hIazTEyCJhYLN6a-kGDqIBELrx_RJhq7C50AxAzsrlVkNJwyY8O3WeUSkMawACJ2WpGTtbBIbIc4Z4WvLiblbaZ002AOMzAB5XSdN_GqnUZTbdmq_wC8rNjJ6ddzASxoANz4VkEOsomuJ1EHdqxyjTxOvoilS1EFolcmOUfJmq1tRwLrEqMXHs_p9RrtMkRpui3x6vT1XNbAwdhZdeMbbWOLGDBnMbrYn1DA9o7Z1WVhWCqzS6D4lZyM9MlUaol5MG4hXxEdBaSRI8TFkEK9QtkEbcpivLqPDtQkkHAWa08uu4MZZpaQIlZy1pha9zzEAWiZS3Eq7yCwQIAgLH5IfQXC5jghZ-jPUkWJsVBo6FwptEnTx7KD2aVYPMC-wK1KKajsb4CurrVQ6moAwE2GXBStNhcXNBDQ0xkbqLrF1L_8pwe0A7jdTNNYWdNqJgCImIwpYz-SuoyNUmBulh-TO9hLZJhcq3vaTKpY6HFRWikTUOrSCDdB6_QPkA2aDeFrdMfRdNem0NgTwtSKuHFo0g3JixWqlejQIZAgEjeMqxG-hVDgBP7rqtRqAJMB0XOqNwilYw6m3tcKYS9j1BDGggaefZZk6ddjJUDnGSZAFhZJRo6cgNgDSfuR7Lkn1enVloaQCeDZaVF7y-7RELJqLmkm9nchYxWbrqXp0IFptewWbDHh9RSPqnU_s08LFkalDoqDH1hGtzRkEXSQe7Ra8sxBGdNrLUiepVqtQuqmS20WWK6cWAaXTDbi0g_C5eOs0G1PTcCO1wvACze2mlhNiYngbeVnGV2h5Y6btF1FjOe1uuDp9wo1qAAbUJ1QDxhTpRpkgtBgZNlzqtTH-oyLGOVFlM8aCZGoeFWjtBqNHbIndKHY51P6ogYvKoWZcLw3eMqUFjwBEEwZGpZg1UnCpVBvY_8AhW-NvxhtbVc0PLhf3wtesFrai4ahaJn-6YMrqhDDMGcQmNpNeJsNTogCVb0u4rTlo0jEzHCzWtlUcRfjCwGZUDHAjYXus2DQx5fLs7AeFKOBmSO0NsBKkDNYNpv_ALKaapTJDb3MWJU3W9aKcAGQJIumdjS2CMwNvCLHVNQMYI2HCOgtBF57DsVgXAa0WPcjFECZvJW4l7MymWuOpsHytObVRweJwVtcKXDVB-Ss9xGmkJbf6ZlBR9Mg7k8QpBWmDoZkAZVDEBpdBuLwn0RqSHkCGyM4Wmikl0CTn7rOlUa3WQHEWlRlMgao35CoSo8gkE3i5Ks8X4zkl2HH7pkIRhIePBySp60as7W4aTeDaVCGoEFwcBfBTMRvY8XMSDsrEGpTF4-qJVpGJzdW1pvC5WOkI7XTcTm_Ky27UCQLk4JhSpBB3ibEQVMUW0yIJgEjAUSqMkWEjYThWI20W6my4EiV0it1LU2CMDeV0ZxUf5moEzN8SrjF9TqdjzqKNcfBaNUEWG_lLZHQlRga4aRJ3PC5hmEE6YukGinJGIA3W5lFbajeTHyp4GaY0kkWM-3hTBZkOk6SdyIsFrAlU4EgRvysXsTiKYdfhZ_01N4dHneTCzVlNSaSyTIM5KxIhy6LTc8rpjc6SaAXi0nEk2RK0MIjFti3lXNM_SbqmpxxIK5Z2umY3ulzQB5VaVDjEA3PJssWL3fRa67hM3ustyRopu1xeBhVixoLwxs_VeLrekI6oXZBN5kKa6yI1nAuuAs0ZnywFwEX4UCPqahOoQpgkx5a_OUpqryXZDj_AGQAvADQXGYSLpI3N0sQ-vBAI2ukHfugTOAm4A25sdJFlLbVhydI1AGPHKsVzqsCI7jhMSubUsRgeyiHaSSYbAm6gLiQezGEagioIBiYyDugcOMgtnTk6UBm4E5RN1VlRzXNzp8jKmK0UnahcG_4VzOxtouI0_3Ug3UqoDQC0klaXWuk-O2PsrEbaAFgQT8LpaLk6TbKborTdqzETaMqYmNbSLCw8FJNMFzvMj3XOkFjdV4Pjwo1FGkR3d0ZU1qT9ke_YFRcpC2NyVi3406QAYmdyrBM1ZAAE33VCl0G3GAVkKCCDDiTynoo12hxgbK7gqH6xGr5T-0FlxBNpWPYdfFW9sxJHC1IqmmQI2_aVfAC0kEGP9k6ZqjT_wBxgZuohwZdY38oG0wTOTupbPiuBExEFTv2NOHe5XOtodwOm2yeMZpmkvHcIV9ZsxMiHTaZVQHtN1apXuhlzthZjciGqxdeAtVQN74BwVlXMB2MlTBZkiAQSdoVkS9C4SYF_IVpOxY-cggqwvfbSAC0cKsaswZmZsjJqmGkZ4RqfolOr3ZPgcKatxsaQGgwMKsOMNMbolK7eJEbKS_FIwEutIAsStxKpUOlpBt5W0ZniRIN0XxAXcIMkjdEKGZBmyzW3PJaYaTnACinLNTWk3J8YWayXTpbYScQoKtdpAFj7rXwFrjnSBfIUFmuJIiRugdgh4vblXErSHgZM-Vvj6yoO4gAhwK6_DCw68YGy5_irnEgCJngLnVicWiLysgOJbOQtZrSdZ0z3KVGYAmUBa6GmRAHhAzHBzYA_C3tSn1RTNjxPC6exC6iXBowN1ir8UaYaMDzynHqobIFvMlWgPcdDZmJ3WeREI1cxKxWhJGwQM0WPjCuCjahgDI5VGiewc-FNSJucRkT5UVIZda6BdcW33CgdsZkwcKirHgG9rZQaaZDhIAHlGTicmw8LQq0doi3mFsVYHC0G95QVaQBbuPnZa1MFpBMzBVh_SjjcjHK0UzbeRiEc1HANyIBQQeJBIvHO6Os8JBmZJPusRKR50zYT5UZk6SLyQbAlRrBbOnEIrgLSTK6RDsJAAmBC58p3COgC8yVLe1HTJ49lrBUTBJEeFvGak8AuknxhZvXacQhrd_sFlsQZBOVZAWE7K-CrJ3gqueqE2tndC_sk3xI8LNb9LMSMj-EKcQLQCMyr6pSdYIyNlkIwFkjbkq50l9ANkx-VMVVgkxlWM8juFjG98LokgbWmfdX1s4giSJTGao12mCLBI5pNMvHJ2UDscI4m19ltRdBNpWa58r2drg0gkWxhNIrIdiLLTWQIBB2hSqIAdfEFSAu7SYElKJingH7IFqNAICQDIg3UMKG8GCrEpnNAbJseVa5pQXXm38qLmui0keyTxEnuEHtvwoMz3y6wiNlK1JqJ1tNgVh11_JUPDyIMlvhf0CdPjTE6oi5VDBxaHQPKyudg50m4tCL0FMi4j45RPRLCRaxWDMT1hvcTFlUs2dKNERpuNkc8s6aadSHzJ9tlnlDjy-Vto1bNkgNPhc3bdaWD_URoJtCu0HSGtN7jAK1bc6Qzqg0yQGxvC591Yo1-vUD8xzsncbbTUaaYbqMiD4S3VefVcPUsY8qRKeS5oDSPdaZVo0tTg3UAcTCg9Km9zxrkTiy038NpDwBMRdWJBqU2kEXgCZCoxVz3C3hc6Ug7nNBiSfhZhGqkTotkWBCqmc8hocBJOIK3NGWs4gXi_5WfRF7iZMZICSorTLWl2nuMRC3kv1zq_TN0QST2nC3Go0uc27YRelXG5Il7YiTlVXFznvbIIcZNjZKy879ZoHqf06qGmCO5tpXK-Ff5tVfHUu1GHNcbLm549X9MrEUTuOVqNfHvdH1PYCDK6xZXo064LCBFtwtLsVa4VCBFsn3UWpVGNYyXDOxVTGR2guMxjELjy1hJ7b2E2WR5HWsJeQB_wALW0eR1ThSDtpxCa6R5dd7pm__AHFaWsoaGPDiYC52squI0ahed1nxZgtqlrG3gDflW2YVOpDpdMrKDRfdv58IPT6fqBTFxMXHKDV6z3tpub9JNyUGig-b6gb2hat1Y9SlUDqcTbcLLSD2awRBII-SrozsAY9wcS0YBUYHqGRIEi2-FKMb6gII0jC43puMrmyACTPIUbW6apEtvZEze3qfp1UNqwSTPhai_H0XSv1AAcBbGoPE3Fzvwh62Uqugt1cWW5cG_p6pwTDokRwnqx6FGq91wLjZE-qCrZ1QcRIRpOo_WBcg7cqG4nBBdOYwVnD8jU36nkzAAiRuscpixVrw7bgmykbFwidPc055CYrO5-kcXt7LFMLUqU6rS3WWyMgKUeP1hDawaZIg22WLBDohVpB2mXA5lZzG3os6oscWzBcZI8QtamfWOvXBBLDMuvC51viWjWiqGbi1h_K5-ukpnUS27gTBlYX8mnpHCQCACd5WV1urMZGkbCVmjz64uJaQYwN1FjG7_wB7ce5TlddI5tQnAkzGVkrVSfq7tOLGThTNZO55c-1gdzspjtRp6i3tGoK4i9QscwBuoGSJndURgaTs_JB34U3BZjw2DZtsLO9pbh21RUIAsd_ZdJn1hspVNLhqkzAJm6118Za6zGupyT3G0zsia82tUGvS3u2uE2umpiGEANzaVPfUqz3BoEGJKwh21QBBxjKVqU7QJBER4WbW12EseCMHJWFMHASSBKyilMCSRJfmUFLCJjg8pFizHgAHI97rVaXYZh4OrgO3WYuC90kAgEbXurWo4PiDaMXKzIGZVNgb3TGO2lrw0gE3OysoobunVjIWkq4uHCB7q6ybQNYsS7ckpovSHdeQCpBZpGmCTibp3RWBH0yM-UgQgh4ETuU9E6kugCPdUS0lm5BG6i6ox2klpkTvlNQCNZmASLQgAwRHwFRKsQATF8RugzOYSBiEi2nqNDQ2CHBaAYdIIwM2WVaRUHpgEiSmtKGta_2VTNTeBFhJWKYk-LjfxssWY6Qj3AkwbclZtKZoNphoiYQhhexKyVRjtJwOIVI10amntIIBGJWp0V6FICZBnYhdvjNaDSj5v7LWudRqgOOoA8kLNN6LSfGqRIJmeFHSOq3IIFj91nxrAbpBBiIsritLSAYEkYW86F5Oskm8QJUs7BdFOSLgqilN4cHkWCZ8NJUmTws52BWfFhcWWL2M73WFpXP6muZW0mXWBzCszWpVSbahIFl0-NYUEPIA-nJCh6vSdqZBsohBp9Qg5OxXKn0WkxpDd-VWpdUpVLESFm4ri9tyMELDUM2pDtIMoetJc7tacxlEcHFpjMebI3KUkBsHMGxRpnquLgZOkRYKDOXaYAi28JAWVQ25t8JQalUvaYE--ykEmumIdIJutCheNIANvdAHVJNzEiAgcuayZm5ypQpN9WPCodr4baZQKQQRbuzeyBiABsNwQUBLxA7Y-VgB0t8D3WoxtUY_WJn4_uo3FGu0xkidt1GqoBqOBMYKMnpgECbGcJWoekZfGADdTyD0GOLoIBPMqjVTviTGJQbqLsTH8rpIN3TOAZqJIJELQqwkgTchaFqTgd48LOjVTM2m8YVwO98DEWidiuVWQzXwInKyuONU5gSDHupV7c10sIub3Kyk9LUqS1oFwLEnZZ-tUGPAbEEmdkJUnkC5JDSikDs3slUGuOuJ02mxWBYE6syeVYGa6WAXWg9IOgg3QWae6IQUExqE253VgcEvHIyqhm-RnIKJYsyADYLMZM7uNplZsalTIkkEk_haxoQYb4VYwC-TEQP5VxszJE8eE8ZsM_ubaYH2VYTBAgk_KzWsTqRwLJn1tI2M7RlWhS7SABcjdZDMBucIL0hfb7q_EpntETJhZ-kdTbIzMLUK00iHANvbZVz-rtzP_gT4Oc46CDk7IJMYS_Iv5WJfjVn1sp1BpxfhdGHEggguPypQoJcCQLJgAcSTMCy3AjnSYN0COx-Fv4IudouL-6uMpuqOte05WK0MgOJmTKgo0xbiyKYDcjOymGFIBMmwGyf0RwdYAYFwpfUWpugYid0g0tqNLiT_ACtFMXZstSsrUHFrYWpQ06c39loI4yc42XG-hS8QYA91mhCYvYzyta2kXgwD8EBZRF5JMAfKDnukAEkR4Vgm0kOyTvBVKoxxhb1k7RDoH05KlDiCkIdjXEyfpV9Xp1XJkm11m1UDM5lYHWa63sgem7WZFzwVqJVAB5goRaNIN5UqpOPcQFBN4g335sgA-52WZ-iq08YvJmQrgZgiJzyqVppOAOL87LQox5ebkyLKSfGVxcRcDdUMHwY25QEvOP4WqK0XS9a4ilRxAkZC1Rwqui4SWs0zagNzMreJ-NDUAf7KXtruJH6gdyeFj6oVgSZSiUSDpBcN1nwKZk7JuooCC2-2Strv6CobweFhMCk5xdYbKdKq2SMyeJXSeCgMnMcrbNBxgGLmVz5HFNzTkyfCxWjU3XuLcQuvENrBMG-0cLN9QTkC5GyRR1Q4A2V0KHQZB7vws2JrpJ3n2sn9KfX5kZsFoI4Q6ADpF5WQQGloJsFACLnNldTDtMOB97q_6qgOoyCFd76ADgSCfq8YC1_gqIaMyf5Wt6cUy8TFv9llcdIa4E_hPUOTDeR4QAPgkHCtSzTNGoqQkXPbBxK20AcS6HGALXWd-IMDVYrQ6QCZWaC46QT_AAkEycEiZVqSFImTELLRWuOqbBViuLyYEAovHwD23OBhRoDsMQjinU7mkZQZXtEG11nHSAG6QBf7rWNP5EMDgQfp3sbEL7t8hi1J17juHBRlUd1wLgboeTCPfDjewRqE9XXAmIshijXAAScBYSo1X99yA7gXWl-Cx5BE-0KRnWiiC7U10EC-blZqZFmVxqAaHQOVMZ_JrbUa46ie33WO3SX60tqgvG8bwnf1pZxDxAEHlZ8YFjhTeRf3lW3W5VWv7S0y5pOOFPWkzR1EMItkEpEq_ogUyW2vsVpGjp_pm7vhXNWPRphtEBrrtzIWvOlLUaC8lo4MJjNh2NFRhgROxUjU9ZardQsBI3OylGP0e8m5fNo5WCVemHSHAtaBf3VzpTtLajgAC3yVZ4IVzOsiwGxCiVJkvaQDcD8qVjf0ZkAgxpgRPJXbjeitGvRJAl3utamuqPLjEFwi94-Eaa2VQ4AE6XFGvh3OAcZueQceyMo9Z1FOn072VG3cC0HC539D_NOvLR1lX6ZaYEYXNm-rfp9QCWYOStSGPW6d5ZEHtnYLcvwerReDEiZxda-DY2q2Q4C07bq4uue88xeRN1i34mszxeNX-yzUJoFyIHuVzHi_qFaKmcnYKrHidY4uqEXIGJSujzupaQIG6zqawu1NJgT7qRC0XObTcTBabgcLVBrPs0N7hn2WQlOoWkNMiDPugtRDnOEgAuyEG4kNaAJHO6Df0-l9HtkgcoLsHpkltm4g7IPV6N-qk5uuDYXG6rbq5ZRc2Q4ujMoMlR8OwRq-ZUYVLmvpw7VOygxVKLWkvhwPlceXrrJjG1xM3t4Chmnpv0G8EYiYRv8AHI9Hp6o7CIC1x_TOPd_TqsjU4ECNlrBuDySADIJsJutxY10Xgvh3cQLKs29ttElzZadPK1Gno0K2AXG4iVKyu2pJgmCNsBRvw9BrA4l0SOSjJjRa8EQ4bkA5CyYrS6YUwXap3iMLPLxuI1KgfLW4n6gseOhwTpGu-bEQpUjI9mkE6gYsAorG8xeO02WRGpS1kwR285J4UoHStc27mkMNvlQZOrcW1iA4m8GNlmxqKNaypSc6O1o7gLErGKyvfocYiNgMx5XN0lbQ4Tpn_hSq1UKYcRBk-AorVVPqBzm6WvGJ4UrTzuseNYJnSbXtdc6MFYgvABJnMD-6lbgkDuzq4wFlpdlU02gRB3GQjOnLwWFwEHg4VrUp6VQhojJHOFF0S8SQZAJxKGu9RzrgAAf6lEtri5tMahJJ3yFnDGjpKge7_uO_K6QejSpxY2Mb7e6rnWinWLBdo9tgERirNYSXuxhGozOcNQgQW31ZRqnZWkCJJFwpZiHgEgz8DdQdSeWvLXGTIwFit63Nq6ouLDBWDT6mlgHO6NQ1OQBcjhSihIYTfPN5UDseS5um8bBaajYyzIab5ErLdAkYNyMRhM1NCDgwRn2TMVWmAWw4cQspVXEMgTqM4CzEaWNkAEwSJg5K6-MLMmcCAd1Q7CW6YNvqIK3ILUGaJB7m-91ii1MuBIAv5QXYRHIOQUCOcIJk223CCbm6gDsponcATY5yoBqDWSLbyVr-ldbBAMmTBT1NF0tMC0cLUC1GhztWHEbKf0MrxBIvEo0IcADCo4AHN4wJSrxFoMG0k8qXUMahcdrOSLxpy4kOJgeRsmLWUlxnbyuVZ0dQcGgNje5subcurH6Z334VahWOEl5-rYJZ0qjGDVHN0nY00hBhxuLLQ30Xye6wiLLrGGltWRMmeF0xkj342k_dZqfRptDgYHvK51uEqWIjGZC1srUKHaj-VlW2i5t5F4W4LFt9Nz7bLQFQRY5WIhmdogkaskeFrVG0zGeVmxkrmuB5j_TC58lxmrfUPObqK4NAi2bXQWdOkd2NuVqdiTDpkbjysWrrQ14BIOSLWVQjtZc29r3Wa6SKMdMAm-TClhTDTFpAyuekqgIeQCYItGyRSO1NuMRwpGoq1-tgIm0eJVjXqlMFr97-VaxTFgDZ1XjdZNZK0A2zzKxW5yQcRLiLcrUrWpeqHiTsYVB1doESYvdBwcGA6iZGwQBoL8z8JuChZg3gKzsBzy6xvdMB1SJH-6mYA4wL3PhXDTGoXNM2J5VzAwGRGAbFTIAKgLrwBGUSldpqOk29lFNSc65k6RhSkbKbi5oIE-JUK7UBYW2jKZooyqNUZhMNWAAE3IjfCyStNN8Q0SZ84VbbqNTWxsxrNphGY9DpSNwc7YldJVbT2wSRA_CtFWzpBBknhIGp1Q0CBbCvo2MdLAQL4srAXdoBOPJXPksUY7tzCw1oPEMmd1mtY4GbDAzdTOmcC2q-Dss8uji4vh1lmetEfBBvjwrdSJAziD4JhZaOIbF7DBQPZ31G2Qgc_QNNid1qC1N2oYvGStaGFyNiN0waGkB03hIOkxNjwtCtNo3ieVGarkQIJHCYjtX3UCxLyTPlK2AJO4AT4FeNEAGRmVQge6bHUTiNkiKh8hokQfwjGEJkib-FFiQOCBEX91ZWymXTIsdlL7oXTqkRYDhY0U09oGyT0VbIwAYut9B9YIgH4QMwBsGIkJ6xVGOicLSRei7UOP7oVWs0ab54KyiDH3uJIUjVaKZ0yDvey2wNQ3gWHIWb0uEDxa8WWkc6TgYyCrGy-TPwrjAvFgG4Wu0QqNIyLqqztBMbk5lYFABiPsilY4gwdjmVn6dLF15n8rQ50OFilAaAZvBxPKyjtZb-6Soq9IzY2ndEaGCZ_d4Wg9KtotMla2phnPK3u-I5xEXhYEalS4GROyzWgc8NMfYlQTNQNzFxkIIOdPdeyAE6iCSSoGb9NsbLYoybAxdagbUYACpTt7Rf7IyrgCDCuiVZ1wJPyscq1Er6tWCbQsaDIbptlRPqtJoifhXxVG6m2j7rTIh-bHzKNEcYjI9lkSe_UdwfKJHU3AkhT1bF29t5-yb8BpOMgbSlGtjwRIstRlRgMfKq1VpjKiGtqsVroAXItI3hOhZjCLDK6SCjriLlW0K0QdJtHJUiKhsEe63VI-ZMLKQroDQZuoqbnEjdZvomXGd4WLyAMxOPKaY6m7SYnPK3GcNoBgTAzJWWjUzDpJBH5V9DOI1SLewTwU1amg2EZXXWbcAvt2iJClSXSkHcm2PK52NnNm2krWgPgui05TQzbiAFuDiYMfBhY5MztNzoNxJGBspa0IfaMeVmdgsl0kldAC8xzErNoLXEnFuFE6M5pMmVqQPGluFpNFp7vJSKaBtY5urFEP2j5Vc8I54D9USRcp506Oe4ADlHEabsgyeAkDBgI8FSgsJY8xdWCpdMWiPK1ooIdMG6DmP02IU1I55AUUzRAg3C1BIgSQJTAMWJkLKgACLZWoxQdGqVWpPpXnVv9lz1ShpOTurriR7hBEn4QQLTgmx3RYk5t7Y8lTXaP5F6dRIsZ2hfePj7VKe05CMn9TMiE8WTCO0u2AjIKysdSEFt4jOlNUX0zE3iN0NINLHSbuWkvZ2ug233WUzFJ0zBg4MKM1Sm1rmi5xysWszi0M-ktw3E-VNdM6aaIDXFxdeMgqNY0CoHuEAkhSphiA1pJtO8qJjRSJdMgKzo1ak3UZNoO6vqi8wXzJ8gJZir9PUc54bcGM7LcvRrQ2HE4gLZpmvMiZIPAUtNVpua4mW_YrDSdYOLC6O6cJfFZm9ztWGu3GyykcH6jEjRP7b3WaC4FgAkF3urBGqZ1AGHTdQQDXMNnA3uoximr0wRGreFYhqeoz2-YK7zxcV9TTSOoHP7VVKKxc7U4R54QlaenrOa6C4Hbygw_wBW9v6e-oCWubb3XPlGn-aeqKz3Nu5xMyTuszr1mRu6YxEbm4Cuj2uleWi0lTez49DpyYA1RfIWvyG1uiItMxdJyrCjTLWtNptIW8Uj7aoAibHZSxE3uidV7Zlc7B4XXNHqTENWR5XUghsRA_lL26PMrPBNoA4Kwjz3SzVyfskDhp1WESLfZaGc9kkmZWdCF4dVLiARM3Qaema7VJ-oXBCDeHa2nkDZBp6RxaBfUCQSAg1UqrH1iPqE5JhB6fTvaA0RPdeN0WK9TSDg0wSY-y141rHVa6mWl05s5ZYOwk6Q4EW3UXxHqHEOIc4aI2XKty68950PAbBB3hZalKfquLnlR0nbX01R1N4GFtK97oXh7RAIt91uVnXqAuDgWkTsmo0UakvDyb4hWJI3U6msjS73AWotbGVGlmmYOy0NbHAFpDnTEaiE9RookktGYsfIWBpoEFxeLjhTVN1FaG9sgGxtcJmt8WH1NFVw1SeYWa3sUPUTZ4NrCy5KzVSQ0QB91cGKuCGA6SQb5_CzU7rPSqem5paDJOyitYfA1A6iRJHCDzOqrlr3EEl252XOrGWn1csi4m9llo9WHhrog8jELHrpGqi4NEEkknOyz6r0umIpkuLZB2WW41PINOWjNrFSq8jrL1YaTibrnUZRWinl0HJRqItqNzqJ4kpjR9R1XdaFMMWbWljZHwmLh2tMkmANgTss4lM8hkTcDc5KYRzb3ntRRDw55E45Vkyi3S9kuNwSrB6VLqA4wRaJF1qxitLXamybSIUZR6tvqNsMCDCsajzi-AG3HLtilbcx7tRMg-yzUrU52gBoif4WSFYdLzeCVDWsPcW5MkYGVyzVUBc2wE-SmLDmqAWgjBklXGmiZGoA6ZgBBVg0iSYhRZWoGGCO0-UdHEaoJMeEZFo1CYMY91Kum0EEzbEBc1VBNN18zwtZrK4cSRAJ8rc_tnF2ktaIPuYWpEO2SYAcQRjwqKUTpEAGBcBSjQHm0ZORFvusitK2kE7oGNOTYXPCLqbrm8wEQkgEWvsSsxaTTHcSHWiJ3WkHTaZg-1iqmFDbg2PI5UUzxmxE4abKjM9gyXdx8oJmwmZn_SqsCm_uGq4zdVVWCWtJIyimc_QSGjHKwgaTBEzaxU0AtYTB-r3sFm-pU3NBggXi5WWuIzJEuspXSGMDF4yslMyqHGDICS4N1MCAR8Dyt6zapTt3RFwty_GdbKLocLyYXTQ1ZpcAYmBtsrUKCWNvxdcvWt7F79UX2VxotMn77HKzKtaKRIIg7xBW4yu5xAIBuZsra0DXFoEj33lY9VUEgQQeJW50Gd22n4O6x2FcDJFpF1mwZHG7m5UJCuJERgc8LOhmvLRL3WydPC1KC-rINt-IUgo2pqDcTOFqLBqPa32i3uo1eoWie8uFlhNWNUzNvdYsaOXBptxMqK4kPM2gWup_q7h6TwwAGRGy0a0a2vYDEEcqmi5stsYClIwV5g4AnAWMakZHAOa4j8KteuLgHAAAGSiW4WYmd0TXNdqJ_BlFnamvU43PuQimLtg63hFA1NBAEmOEDsl51OvP4RKDi3UR4yPdT8mNwrh3y24lXWp2cGGxqN90QHN1Ng_TyrQjuq0GG5AiyiTpSnVY5uZePKN7K00TIMBTFUcPpIE_2VAbqhxyQcomtFIyBqOFmrP20UqhqN4PKeNN_SVQ4Qc59lPo9DpZc6ZEDZdIza2y4WI8-60kpqVWbznhF1RjgACcYU1ZW2iTpHB2W1M58NjDfsufKilJ0ZiBuuax1VxdYABpWa3padvIi_ui8vDvfbBNtisckkqLnEnMAXAUi1xfbSZlVEGuHqEYKy0s15IzKgoDqA_kqizJDYyFcFQ2Gk8pOvQdQM2ICfQ7HB3aJzla_sO7YYAyUl0UZ3uvxgLSLt7dIwpqbBLALEeZWe12OaDqvYeN0wLVeMYW1TNSQYWBIu0nVjYp4KBxIhuFpmue5rALYyiSIkwZ34Wa2bDdzF5QKbibGVKObDHG9jbwkgqx-y3oqGguB52Si9OlCRzqr2mIP8KpPQonuIuB5UbsUqP1yDgI5owQ4D6ln63V2kbut_C2wL3Qb8KUQD5cMwVNVckimOTcrcQKZv4VnQ51QNAbY-yujPVBN4mU7CQQdwIlQKWkXBFucoBOggkyDssVYbXe1gtRaZry25vdPrJTVDnEx87JVx2vyBKi_wBKseWi4PujLTTMg5uBZaFQNMbynQoXxAAuumdMpF2-ZsVz5dLE35tBPus-qQnSdNo90EyA1pN54UgDhFsg7qhZ1QNW8YVodpDQAAkFqRaSRutAkEE_3VoLCCQTNlIlaKdMb3m-V09RHqYd4XLm1GYXBM3HlYDtIe6-eFRVjvTJnCJVzUkXWmSEidzPCmtufDidgFNEHzIMIQGmH_8AaTPwi_Fw8AgcLCGpiDEzdaGloMgWgqzploYC0RmOFoPIa4fe6BgDnlBzHEd3xCuCzKkzGYW5-g4cC0ECBED3VBaJx-VnewZJIBNyt6gkaCOd0z4qTnT9IIHkLOCZMTYyoJVKhJMx4hZsChwaTBUwOCTkfYLUBpxMzIVwWczjCI7SIGVGnfuH8LcYpjTmMytsFLSyJEg_hYzW5dOGASZtCljRWmB4UFGQPGy6azbdTqO0jHyFi3VI6oSJFysK7VMEgfZWS6KNdYroFOLk5uuXL0UptBmCtyB2tAuStM0C7UTLoCGdFBOoX_Kzqqar3VhpiQRaSukMI9ocbWO91mqDmxv-Ffjk5jS05lEWB0gAWQOCJcJWsBPcBGVIGGoCwkqB_qA5VxIEkiOOVCmkzwtRSl4kbFShXeflQK0CMH2VjnewLSZ7rcK10ngEQIdnZcwjndsrUc6i9xvNkROo8RYE-UkaicjYD7q5XWP5JwA6-PC-6fH_AEpOlpkZzyhhWgxnJiUQkOdUNwbXlYunh6TYePflWTT1d5tfOysgzCnrDnG-11Sf2Dg5logI0Lahe-De2yxWbGlrmgtgaY3K508OyprkN5UWNYhwEnSiqBxwWkjkHZBoYTuyW7IrXTguB8qVhpaMjzKRqdjoDu4z7Lc7FqRh4aQD8rp-KVciL6iQflPDHN7acxM-Vy1ZO2qlQBBERAnlaaRrwGwLnwMKDCSXgtiCbQsM6LXsEyCBMCNkWVznkOIjaZKl_polR-tsgdx34QTYXTkSmBgzU8SO6JtyrIzVGkuDch4m66S1DPcQBqm3lXtoKrZYHNN8AnARlCgXsrEkl7W7xEpaMf8AVf6ix36R6Wo-p5XPbWn-amo6nUMAgBHOVu6HrC3tIsd-Fp017vSdUbNDtTeVLGXpUajQJaIkWErNljN6b6fcAe6fN1Yer6hYi5zK1eTRXzuDe8Ky56mI16jAdOnaSSVm8pYy8nrC0guEEcSsLHk9W6WOOABYLTpHh9SXMfqzMQFmpWSrTuSTHtssIfBY-ZAsgzVpe8uNrGAgmJJkEWGyg0dO9xbF8qj0-lbJDYMoNzqTWPgd0xcKxY6lSZBJ7dZkSE-lr0qNUUWjDuACoRt9ZtS4ZAAuArGkOpaKjQQIAvJ4RLHU2DSABBImMqIy9SwEENPvZYrUxhrvFMNE_dcmkXnW6WOAPhWNav0lUzcy7grSV7v6f9ekN8rTnr1RVaBOm-IVw2r0X6YAkE2lv91HSeNtNwp9oiRnSITsrW2oO0idM6pyStyr8aafVuAm8zGkYWmWvp6uoua9-knF0wbqQDCCDtBCmA9U9vp6SDIKiaw1nAaZGqRYkxCmLOQM2zpGw3U_GN650AycTvdc-UyrC12trNcIB4WK6PLqg0ajoIhZJBo1g6iJb3GxcgzdU8VJcI4gLnR57HMY5wEybwd_Kxe11elNRg1DQT8-yz46StFJ4aIkOfMEELMbelR1vAgREG5z4VblbzSDWDU2InCZrTyeu7KhLcWkrlygwOqB7dLYF7rESMr2lt5gYgLTR3PmxP3T1popVLQTYrOCtOp6lVodYf6ZUzBzsyZzjhUA1DoIlMMFuNWmBOZS-izakFoF3A8qwbqAAYJtbdVK30S5w1agRGyZqWIV6hfZo0gCbo1GIy4wAbnIKB6bYbLjcGAP91jklULgGjTIO07rKGa9rAC5ok5hQWpOmIJnhYai9MkOgGfC01DRqqWAB5lKrQXaG3sBv5WaLMJcJLbQsfVjU2MwZKrUPIIF0Wi2RBAloys1DNdqfwRdquErrAS422CRemthboxPjZdMZqtN_cTBdvCmsrUy10__ANpCs9FI0wMq2arR07pO4G5JWL0ihIYe0902J4UgLX6Wkm7ggmakztKyoVSO22nyVUKzVUtEeVRUgtZ3Ht4Voi7UDg_BVwUDOzU5piJklBkqPYRETHKgk6oCBYE8qrEnNIcTcblZF6RlgMkBWCzAwi38oAWkcW2KxiBVpSZkwMBuEETIBBJB2Cw6RzNTbRIjZStwxcINr_dYNc1s43Vk7Gmi7tAmfZajFVFQ6riRNzK3x9RspPIw2y3ErUHDSdhjC1ezSOMEQfup1DCaS0E2J549kq7g03NMRAM8rDUrRTBbMOJAVnjO4tBeBbG5NlWp2ZxaDsAcGFK1BDhMG6s8KaxP-6KX6pAgEcnKWCDrECIJmSFyPEnOvAiAL2TAxe4iNiLFPV6H6gA2yeIowYAsBdIsIDqeQ4AAp4eD6eQLDyFn1FqJAAB7ZgEFZrcp3kEEiCIhTxZMSFY2DzPI4WataGEuF9soRpouGmCZC3B1R2lp0t1QVLDfjz6n_uCDEmYKzjcZqriZaGieQcq41sKBfGHSVLkTkckex4WbK5la8NBFyR-FY1oODrHMyqspmudoLgMlMLQ1SYEzumJqzXimAIM-6had1O4ggE-ZWcZSL9JJEx5WsblwrSSTa03CMiHNDRILXGbIalE3cCPJQO2S4m2dkWftqoVXSQchStfk0SSNUTF7FMzs_IaV3tJHd5KaS6qTBtncrNaWpNk_yeAtfGm7pawDibmRAKzEen0rtJmS4QByFuFbdZdtIO66Rk4iBIFhlKoh51aM3lYrM7bqBLmATBHK1rcq7QC0bDlY5KLDoBB7lgJVqloEHtnKlWdFY-4lxCx46ad7h7fKeiOsGbwApIrmvBxafylCx35jkqC1I6SRcziyyNAggEWhUFjjIkn2KsDglsSLEq-h7DBtvKkHMqNaYnKou0nJkjeUFw4NabAmLFa9SnYQSNwnxnO1XOBaBiNlJ4lnYEN0yZB4Ui7qNdstyQM-VptKHNJg90KBKboeJJ94WRUHTJGVq3pCGXsJIEm08LM01P6Qc2tdXFc4kQL4vdW9DtQAFr-VNAIGqRjeQmirGxg5WhrY0tIkTIsljFq7HWi4-UjChEiZ91dWdJloFwZKzF0AIAiboyewODZGlGHzK0ySo-xCgi0CQYnwVltUPs6AbjZdWHNJ0wM7p6oObBuPlVCvaW3I1GFuCJfpv8LNilDjg2nhZWOIsLlZTSeoA4Z91JVUc_s58q2oz6omDE2hZbxYGIkk2zCrGL0i17R43VRVlXRgqwWLpE7bqBmVBMfZbmpXVHCDCcvSI3MyYObiVFI-oPlSiEkuv-VhTOdaLFXRzXwbCJ4Kahg852PlWClOdQk28LcFXG1x8Qt0cyGg2-VzVenU1CQcLfHpjxKtLp3CxzutRB3vBOyzOwQ0mwzygeCbgzIhIKsbEXhbZpXnR3EA3i6xWhD5MR8LIDnbYConeQW_Coo1s4NjdBelH_2pUrUwB8kLaKsMDkJmh8mThQHVa2PKSgU3QZi3-lXQ4ABAgH2VlooHar2-Fr0OXktJvY4QcKpknC0mZTueXReCFQjqmkafqPhNNiDj3ZmeFmqR1wYt5WAowAe4bqCtMib3g2Vg76d4PAC6ijXAkkXKzgIkmAFjR24tMb8LU9S-KiXC87iy6uQkDSJJdgKRqeovLhbEW91nlWzN7RJsswMDY4AG638EXv8AU8xwufapNkzyoKtxBstQOwS2eN1NoJdNsp6HYAHECT4WoDqltoHutJhTIdMT7LN6V2qW3Ck7oMXEwBHC3f0HYNM5P9lZdHAwZj7rQJLiLi6kc765t5GE3tlQQXbT7oODwGzk4QUD5Ei0KqM3CuLnRhcYlT-mRIAOw3UANSSbELQm915NwoAXBwmFAnqC-YIRiDqM8A4VbKXFwvss0pDdpIvCrnSkyTiFNiJETYfEha8b4pOMG73A-Cs9_tt_JgsFiDf-V97j5DSVKelhMyormBzwI9yVKlUe0AS4R_dRlGqWOMtERmBhai7L2tTPq2IEgZIVxAeIbmx_dCdKk6nqsXLNXUvTINjBG3IXPT1ZwLxJiIsFndZVokNbLojeNksS8vxaRUYMO9j4SNS72qx-gF-meVGmihULgQJjc8KjW2oC2HEyLLGXWV6T5J28BbkqxcHWA0_W4Wut5IU1MAOEzOJWyNROgBpkA74WVUpwYa5sDbys401aO36jMbLeM1n6kQ0kYifZZsR5L9QfGN7rjWRsAYv5SLKNQ6b3g87rX4umgxwxObAFSJouEAQ7UZmPCv8Ai65lQaifpP8AC1mGmdL3F2vuwPK2dFe8WDTbBCVipu1ybEgeVMpp3VRRYS4G3N0rUfNfr_UM6sBsgHIIC5VLXy3VUCO6JByqmFpNLXNGm5umpr0uiqtZaJcpta17VNwsZDSNiJS3SvTo12ub9UE5AU7-M_4ux-onT3TjwtY1O-zvqdxmwxEqdr0x1mag6D8wsubzepp6W9xj4VHn1qZqN7fytN68nqqOgXbfysVXnVyHiAACVlHUpJ0ui3CClWkAyGtkn8IPPqU9FhaVBt6WmCySbEZC18G6m0taD8SMpFj0ulNP0ni5cLNJ_lW0ptQLgQRA-bqVCvIMgt7QJKyNXQ9SOoDqcGW8cKrLjYw95a4gCJElXGhe7SA6YkQIUGSoxzYcZHupWPHldXTLnScRcrnXWeM8kYd2rMFumqBr7AX3Wi-Ppeie11MQbkWK38cm6mbGJcRYkpVizA9sEAwSszp0b9YeNZG2yvbpkzVWVC1oIgg8qxht6epB8cBbGqke6Q4g7ojdRqO1Q4hsWuZsl8VTqHa2AaoEWskjNxlIBaGEzbB3UQ1mntF5wizU3amki5JMws2a6Qr4e0iYjJGy5WN6wVWi_bqIO5wubSNdgpHWPe1kVhrA3P0h17BZsL0zNYI7iGztusZiNLHNEtFQeCsWa3_bfRaCA4Q5xO1ll1jf0haypDiNLjPMJ4rfTDXPcX34HC3FleR-q0fTeSDMCZ2XPks-vHaXCBYb33XG9K4guBBAzusrKlraY1EGDkrpIumpun_4xvhRY1sLaZkDIUqlc8lxMkeFkc0tcZyeQFqQXEafq1Re6nYahd2xnBVg30NLjqIuLQqlbKD4AAGZlWIk951wPIsixl1w4T9Jn4Uq6ZpDGtAOTYndYMF1nA5g3TxMVDSYI_cLLNWKUhpPBCzRYPkH9087KNRek8aDF_YKLTNbmDMjcKVhZjpFj8KNRqYS9wBcRHlG1G1IIAbiwhF0wOue7H5U99AkOE2DlEM3uhpAxZXsXpHzZbiVrpujHKu6jREA6cLSw7NesEAQTNimrsaKUNIBAbba6xyZW7RPlZCG5Eg_dIEJ1mTI2hBz3AgOdaDEkWVagMqBh0kAiMhRKYQ9hkh3haqAWkjgKfQ5s0XJbEQtDG-mLQ43OFkRqxfSSeSr4JtPc7VeMrOtKUKga8j8cILOcWukWjKJTmB3OgjMhDHElwnP8pmmIPpwC49x8rlVnVFst8So6gDeM3usooTpsfhagLe06WgybQqz2o3U1sECFvGWyi4CD5XTC-tbf3XnwqkJJloIkHICy0NQTJnBtCkQjRpcSW38JSNlF8u_4Tj1GvWiWzaBzdSp4m7JKjqrTYdgAPKjOiHaXEOstS6krtQE4LdrXWr02yV3FzoOfuuIm2oHSM8SgQvLXQLNFpVzfGsVDrZE72VxlqotsTJiFmBXaQdW3uh6RxJIIERdMxuZItSdMm19ys1gw75ghs7Qs10l6Sa3VVie4XWVWYZk6LDclQaqTrCwI8JP2OLw0m9itaMPUOBcADJ44QZXyPpbAByooEy2xicxupn7NB4lkttfAVqFaCG3NzcqYKNJ1tsYHKoo4Am0zH0hURqS7E--6CgI-oyDa5KwuadziQ0B0jNgrEQJDhEk-diriqtEXMNjblTAro1DYymIIdoeYwRhXG4YNkkj6lmpV6btFyBMYUiKh_ba02ynYZrgCDMx5UyrFBUaZ0kEYjymLd1ppDU25EjY8J9yNa00O4kiWg2so09PpTBAm5wCukZre2rC6a572JeC4Ac8LK6q22591nGo0sLgY1E_K0sa6Tp_7ieVj1tzjbY-6YFLhpLZtMrF7EwdExB8rOL65xAiTBOCLpW54mTJmZ8Fc_rTj3O5i6ofUWtgZWRWg-SHG9vdJ-xqABwfK16lNBIlASYIFveVJ0ppm9vgKI6QIIifZIq7a2g3N4WxdmZHwVQzXScRyUqK3c0Re-yMWOFhc3S0idRwI_lTddE3EWO-yyFdzbVyrfAzdxvurrNCoO2MeUSIOkOkySFnW3AwZkg7KjnG8_lIKNht8DdPovRAcZwPKvguGmZDbCyrn9VpbW9lIhnuj2RJ2kXdwM_CqmYQAbRvZB2rYrIrq0tHAWkSqPgyRBGLKVSOgKNXo7TYECy1vTJrt-omFuBQ6L_haiOqPiSZj3W9ESQSfFpXOtQrhpIjCRPCuJeTrtBWapS0Tys2NYJnTyCtfCTEw7Tg_CyqrXEROyMX-lg7UBgIlVFgP7LUQS8hv9lQzKkX_BWoHnV4_urYmEfUgAx8crNaRqOBMgZxwFhC6hOBOFFTjUJmSseVv50LBAJNlthRhlwA2yEqNDDaTYwdluCmqWxM-VoBgIG4WQ7XBrgOU2mFqAgzeCs4OAmMeFcwcWas53CgLY0xwN0wUYRH-60I1HHESMrPvoRr-5zlAXPkkEK_AAQImWjaFBRhAMiCFVaGtMg4U9RqB1QQTPlagq0nOQtMqkgNlZoQR7yoOF-RF5QORO62GDgDIFjgqyh2ua4l2638ALhpnclA9M37oHlVi0Xy4GCjKdo5AWK6UlRpEFYgk8ukSbKVTscHCAR8J4HDLCInYrpod0NElplWjjO8TsuY6NRyBHAXXiizagiNt42W0zoQBAvjkKuabnFriNjvC5WNy6BEmBNt1MxsHEm2eSrolqkkE2WNtDxvjlQc0NAN87rfEEQDytUWaAIi5xPKyDr_ANRjwrAQQLm4TWbNEmbg3V1Z5gACxyVPFEgT_ZW9jrh0gC6QcXCxM6sWXZBc-CFhzwA5sgTPupiHBz_dWQK4zMXBI-FqLi1M2P8AumBw4T_5ZTTVKbu2MIhXO1SSZjwgnq8wgmSXZkqDtXAjwgEhx4Rni5zQ42N4RohcQL_dT_QXOhpi5U7YJgZsFcEniCTN1Wog6q47SuNuVvX8mhUvETzK_oj44wl8MMLCeHawibiDOd0UhDX5JAUxE9RMgNGmYk5WokMx8zM6se6taO8D0okR42WRL68RJvdSok4l9QmIItC45Vi7WkGRHsVmM0tR41b8WWtYzTU5cHRuN0l1rjMa2VJJFyAICjprXQ7RI3O2Cr9VpNMiADbcrfXrLVSpguaAXTsVZ_SxVrgwdwvxus2DTeoWsAsRPstNY5pc0hsyfKqNPTu0wS23AOExNbKYc-kQc-cKxWfqbsfglogA4KUePVOkwSJ3BXG9dMuDgwar2wOVnM7Qah1AcDcla3V7-I69RuCQCs2C9IkNaLaom4VksXtT0wWdwuTIAXVqeFL_AE41wJNijIgue8gtgG4-yoahTLi60tH4WiE_UWaqcXHkLFWvmut6OWugEgm3hcL6w8brqUUnajg4KNevLplprEA4GMK_GWtjg1wt7yVeKx7fSPOhpZ8ypVs1upNJJ7QDPMQkJGtrJgiQusn7NM86thJ33XLl0mlqEQSMYKyjzeoJqvNoGIVT6zVmBnttC03HkdV_mOe3MlZqvNqN0xDQRMXWAjAWkyIPjZBSq97KckNAI2yg80OkFoMg8oL9OQ1mmxA24RNep05L74iNluNa9DT6Yc6w4aArh6k95vFguaE9RzhFziScqLFv08sZVLy7fGEi49h1PSGuIcQRbyuilY9hYQbGVKJVGmkTq0u9zKjFeZ1RNMQWgyVysblea4lrzvGyjSzC4GZFrmFIr2_0qqHu7iRGF1-M495h0loG91lZFRUMEfTP4TppppvIdNhAvytTuLrVRcCM2Ii4VTpeg46hpBb5aiN1J0Dcj3utRGwENeHHGLXhCqGoGtg92wJyrO4ykXlwBI13mTlZxNPQbqeXkW85CiylqiIBsJuZus7Wh0tBMSWRBhtlOUbjF1FPQ8y2GDBXGx115vUnS4aZ7hPcsrGXqy6ix7QPqEm-FmlZWMJaHCbi7lmov0zTVdox5hZaj0aNNopSyQ7hJG5bG_pmuFENe1oi5cpjf5N3RuikdTr87HwtdRn8nk_qbnVKg7Y-Vy5OkeV1FINqSBqm5C41dQqvhwFtPByFmLEo0wWnBtO620o0u1d0D5UI0tc5zeRsUq64OHMQbghY-AgaQRcF1xFrLUVamewBuNyVQ9N2kGwHF1N0bunqami-kjMKs2tLXgu3AmyIbqQDeM_EIMT2lzgW4HKzbqaYBrWdwOrY5RuVwsRwUxVg6xAAI_IXM1QFxi1lrFaCTpgwFMadRcS_VMN_7d1nGd7XadI3J55URQPAcCJBjOVnCa1UanbiCmNxbXJEGSMzhMaMXaQA3HCiuY0tg2M7IuLGLdpkA72WdZq3TQGy2wOy1x7ZaNcEgRtC3-Is2ccRutDQHdoBgR8K41ZrRR02MQN_PuudiLtbIkfZZiJ1XAv8-FqBfSBvmeVhdIWiDl198LQkQWEYysopTdkY8FaUdNtLo8EFWTtHCAwk42W8GauYM4G6xRJzSabiPsCp61GZzrSbOm43WZuilNwguvdaXxfua-TEpcTVGWaIvqF7qBhd5As7YKqlVkGbyViyIlcukuIkLnjrHMdpdsBsFClfW1Egm44KRF-nqgkTiF0mHTXLnsAHsIW7NZ9WoNN-BdbZvrU14a25JO6lZKTqB0g6hdRoQ4ZyeEUsXnFuVi3E9aunLg3OTurK1JVS_uIBt7LVjWKgzcYO3Cx4Y4vIawYaclZZoMqd1jPlWJBqGA2BJK1ddWesfqsFzwQEkmAgDTY2gbyJutaunY6X2Nxspuo109i0A-ArgBFg4bnCnQEENNhE3TVEOJBBztCi6fUNNrRlYa-dg9zbhrr72WKkp6TtRBI8RsstKMcQ_SXW4C18D1CAJnCkgzPp95JtCtIy1GHiPyp4E1aDAHuZQ11R0iJIBV0K0am7mMSmhtYIuDbMIKN7rnjO6BBqAJ24JunQdjwI3PHCnoLobpdcXlIqNRzS4ZAn8KjmuJMQDfdEGrq1EAb7oGEybAiIzlUUY0FszcYgrNXV6bw61idwEHGZAFjsEUWB2q17flKurhoBt9XtCjfrRReARwfCnSZY1CvqMCwCZnqtnS1HRLb-61ErcKx9lpzaaTrAh0mVUXYCS7Txe-EreNFJ4ZBBt55Wa20sqADVErniw7TqMgX2laUHM1GbNlYv9BWNkyQRtZZ1SOJBj9wm8JukuJVKguD9QwOVity6DHyCHRxEKVpYVAGaoj-6DqTr5jwp2N1J40gRflEq4IIgpKQgAeYAxutZodoggn6VMPrjAxOExTAl04K1BeJiDZPQzbOlaGhlQbb8KepRAkETCMf4Qy1xH2KmYu6k4S6HYWK0RxycgZKs2q4O7yLyr4zTu1ODsAFWJE3tMSLnZZxpmIDjYkIqjbOsPun-CoJaBYTwUo00cmFfYizD3NBM7QtRjGgzbTgKspvbGLbFZaibmkgCbtwQs2RcAG9yt4nZiTpaJyoeix2Ihx8pqYV7hsc58qXohafcDGUjVXbjztJwunTBXm5v7hWBQ6Bc4vCCT3ajyFdbwhJc08KlUbYjhSIV7czkwVmo5xAaDNzsldUw506YmFEKxsRMQVKoeqS63yss4vSqEwP2qxOSzXwCLQtxnAa-HRkK6YZtSJB-5ypsRZpDmyLrrOxKtdp8LPI1CCBIHsuQUkgA4hAWu8kE3upY1prvNyB7KJVGnSNuJVhigcAYBk4hbguwxgi_4WsRzzJGqOApdHaiTcD33QGbWM-6AxMTkXsmAEmORC50GSAdoXQd6k-3sp2JF2RF0wc5hLLWWcChoyQT4BsqDpAAE3U-AtF5sB7qta1McdJM_CzjH1Wk6HAm_ha8Vpa4wNvCpTB8k7eFWR35Cy1gB2k-CtQWkP8AsozAAJvutLp8N2B9luIIHO2yoJOCVqVnN9MSIk2HhKmdkEgkALFjddJmIus3pIjUF8_hYWC0aN5Hhai260AyRIBhb9QrzJMSfBVoV3abXXIVpEaSd-CusswNMyIicFb1m78DkjATXNxaS7wmNT0QQGicrFjcRqOkiLcrFikDATO6zvYbXFskq0NIJ9lqB5h8kfCBmw2ADbKDvaCfZBwteblA19P-1kBBkgG54UtALpmVKB6gu4CL_dXjcFXEFvC7az9Z6gJkzbZEo07GCAfZPrKgMGQJE7rXnjUhgZGRPCnbRoPgFNYtVaTH91Edqk3tHCIcusDYqmkqRBmwlWieoATGVkAkQIEyUKOgzkY2VZ4ua2De6k8aF4kYvyiXwsZxB3UYoF2oS2IGyqI1AQ4HSJiU10nibqZBw0rCv5IQCA0ttHK_oD49dg0d2OPCyqmnV_mAdo53RCVGuDjpMGJ8IqYLnkC0TEAIxh3U41OAMYEK60lDT2wWg3I5TR1Uw0hp9uVFCm0Ph0EDH_KlLTvqlrCQQeFy5TEviTSJ1XvkDlc2VqRLTNsp43GoRd0SMWWmsaqDwRbVa6iTxuovFUaSDyk9MqzBB1E_E4XX70aem8OfqMNnEXVnaNDXtAsAZ3lHSC86Wt0i_CMr0axcLgMINrrbL0KVYek8i83kqVYz9Xqc3IaSPkoV5RMV2gtA4lZQvpgnREETcK3KYIZqF5k84XL8cXCOc0OiCTvC3EwzYsQT3cq1Yo0ydRH04ARUgNVVpLJdOUZamVARcHVyjWHpkPEta5hO-y2JvourU4MNLc33UGPrqIbR0AQ6SfBXHlGK-Y_U-mJoOJJvgBcybHzF6VScTxlbVto6HtJLSSUiz9vV6HSKcOJm1lar1umvMwNiFn_EtbGPwf2nYLfGpjnk82x7Jy474JVBqiJjgLn4iNSiBcT7IYw9aD6dvmDhWNR4lVpaY2OXcK2NxjrvcCW5-MKfiIloEu5vlTETr1i9rRnaVMRme0U2kN_KkSjROp4MGeFUet0hcS1gIEGVYsj16fdSJPc6bwrWoy1mltTU21rgrNaIxrKlAulwcDNt1nBPpK01hpBvblZk7ae_RqiozSdRiwBXTtkr4NS4AbhBGsRWl8RtCM1l6pmka4BOJXOrHn9X0_ouB-lrjthZraNNxe4QSQd4UnSvX_T6kG5h4wVdR9B0lbWO6Cf7qquCR_2yZWaVbW0lxcT4IVg09OZdv8rUo9CjUa4sMxsI3WitjXNDSTMgwY3RF6bxpaLx4ytFVnVUhwkTqlJ0lMIF2gg4uVMZcKup1s-FFMaZqCwNxlZxp1JxBMuj-ErWu6imXUxLcrNg83qOnDKWsEFkfZc-U_TpK83qGguc3uveYyubWsUhjHAtmMCbhZqrdIdFQCO03kqYuvRNTW6IgnBCmK26tVMy2XZIK1hrdRYHUhcajnTsFWdeZ1VFrnFzS4QCDP8AZcucej48mvZpAHdFgvPVjzmtNTU7AAvKzjQuFRsCBESt1o7BMEwHAxHCngs46CYcSW4hZt1DscZPddyyuwQXEkHHKsTT0zAJAsMgq61q7DckkY2TRppvkgt2G6k7YrdReXw0kCd4XSTCHLgJDgXQNlaVkcNMAyBzC5eoaoL6cRdXxYnYwJIhS10Vpgm4PzyphjWxkskyPZVsC-CbX2UBo1A3sO91KxWguuYieDsskMxxDw4jwjTbSePTAiyzelXazVtaZWdjUV04ItJMhYXHU391htZaWKPAeRAkHJSQpqbA0tDgeBK1OnNsbdomL7ldBobGkWH-yuBw7XaSCcBVuNFPUwaXQ5sWWE1ZjnAbhTFxM2qG9-f7LLOHbUaMzxZSxCPBDycjgoJ1nBokOiSovRdUGBjlWCwqHSGgYvcZW5IhHS5pMjUZVEKokwJJN7rNl9CFuoRI-FgZ3s77nCNR2kMk8CYVX_VG3bcRbKI5rw3ZwE4Kai9J0tk2PCa0DzqdfHIRZErMnTK52NpazrvwsqU6QBGVnGar07xvJWorcwBpuCAL2K7xMaGOLCQN1WK0_XTBEIlCARpkEkYBwpWTMAJIHtKjUpw3UATELNOKtN0C0wciEjtFGCYJXQcXljgAfaQs2AkOyTYbLORnHNOoEWAF1cMMRpiCf_0lcaCo2JLTkbrnRmMOABEeylyBancQMEWJJUAkySDBPCQaaJJpyMjINlsWDgAdh91ME3OaS2bXuFkC4kh1pxwjR9WswAMwQFnEtSq6g8GC0-Fi4i7CDEkkTssxqVbQLGPJlabdVIAdH1RfwmBKzjp-JEZSwZHEAnUSQRlZwvacglMY_FNxBN27QCo1IMaGm9tyjRtAcZkNJ5OVUM-RPIwAl9SlmTMW8qGwIh0c-VYbDsAPbBEbFLS1Jz57TcQnaaDXBp3nZMooD28cNmUypao2AN5Cauma6AMQRsq1BJ0w4GCdlQwqkweEGmg7WwnfhZoIPpCHCDsJR0itMxIEzsFKWrAw1s38J6brV01eHaWn4VhXotqkky6w8breObVSeQ4Xmc8q2aNrXucLWJOE8a1ShVD3Q42iT5WffVlaWjSbLN8baKDTqDh9lGjVHNHm-VKJOeBO6xgm52oEzqJtlYk7EdF4gzmV0sb4j_7YmJkZ4WLGx1CSACRypYK0y5rQ7fypRspVNdpWGasbNuYOysmmix2ne5yRutGqO-nxsqT9lFgJCVo1N-psixm8LMvYtSqtkytwHWS43AaoGpO3gzspYjSAGicE4TdSkqDUJN1b2Z-kqjZObLORohkjAgft5VvQ5oLD_qnBKsRSQLQp9MK994AwrYM1QX8FZqmZ3HMJBS0XJPCtGvpmlpkYjHCs_tNWImdyFZ0RdpBadIMxuqzUqjgTBJUWJW2WWnTLpKvqWGEiRgHlPGCzo_4UUHHVFx7FX8dXHF4GJBTyGKNdMAQtObolwmFpS1Bg7nYo1JPqUaXcRwmNg4w4eFWKZtQBkyAd5QEEOAjHCyamZnk8K1r10Fw28eUiSdle_U0bcrPaphtrLP0Vov05zytF7WJzaBv5VYTGLH2Ub9EOztZSM2LMOkXwusc7Dkgg3x4VsRnc8A7DyFzsbI54ebNwL-VlvBBEgwTwjNmKnkW8JGwc4utN_CjOOpuPaYkprPxsY9wBvddp4z66oQ4AbbqVStfuBEWhBVsxYhQMLiVZR24ws0KCSDqN91REvl0g44KBzBbxsgXVDSN8CVmgU6ly3A5QM8YUoDRLrgn3VGqmd5M_ygu2GuFvlBZpnEzyVYGnf4Sq5jpmYCuNGEzn2TWKu06vjYKsixt42AQObGfwtQcXCZOVoDUXH-6SDjbNwtXwUb22wOFnRN7-6wjys2aJO7pm8rADCGW-6CzXENK6BdckcKbo6QXXys4OYSHTErUFW1IAz8rWgF8tutRyULtVgtILu1sAAkqG1Ko3hZrpx8JEWK540m6YvaEoZsxaySigdJDjndUEGBmUBDoE4KlDAk_V-EnYZrosI-Ut6CtdLpNikMTe-TISgB8T_wByyNDXNJJIJGy7RPpXul07LedM3owAtsVGHONojG61HSGZBDTwUaPgcrLlTawAYRBBiZsg4OLjEoxPXPmQSbI19IQXBs8pe1c1km-CnhVgzSDFoVh1CjmFM7UHO-PdGKV1jaSNgjAEAAACyYvqNSqADvsE10_plq1HPdIEWV1cfyVabAA3X3j49YPDxc2WVhvWAbEGMRKVkgryDFzwimcCGSO2f2rXSGYGhkHVfKBC1jgJGmFkZXk6w7BIiUVRj_SYC24IysiTq98RPKl7MNTJIhzrrgzkaKY0iRnhMdZ4ux2o21E8DZdJNR6FAOawySSs0jX05DHFt7-ZQWIDnAEWG5tKRgKjBchwANg4Lso03RAcQI-ZRvcaA4ueDEAojRQfIsR_8StrjfShowIjAWCpdUG1ACGwTsVYzXndQ2NWoycRwsVAqSGtIBDwcKtJB5JudJ8oOLYBOoH2GFQG6WsMXLuSoOa_02CAb8q4lMx7XuiCDs5FirAGu0h0Dymtao0GLAg-MLUSmc4ulueYMSljHlJ1dE1-nIALXNwCs3wx4P6h-nF7XwHA7k8rhZfR8T1lLV1jgLdsA-U0aP05h16SS4D4Vanj2AwNINjNuCkmpW-g_wBQkgX3lLMZbunAgOO2wXSTG1AbCAcyQd1WXFoaAY82Wc1cQqZg5WOUxl5fWRBAFhkTlSNR49aA5zcifyt1qMHUS5th3KS_GmamyAT-7yr0AabdYjPvZSzpKnVp998ysyYyAboewggnchSuVltbumq6YIaQd1HTjMer09Wo5ncYbwq6FNKSXatNlBne0sOCDG2FKsaOipOaQ-GwNuVJ6tepQc1jr3dvp2W6wXrC0CDebymKSnpfgWGxOUGesTrH7p2yFmxmp9TSNSkA23giwUWSvNANJ5bqgDK52NtvSuAqNLyNJE2Ug9zpHBzmut7LoVvYSbOsMglRnVaMNkESP5TGWmjUcTA_K1ka1v6cOv3XF8JGo2tdyBflaXGhp9K9w6IJiyB2O1juBI2jZEp6pa6wBEnKM45gLIcJMyErUXp1CAAcG8ystamS0ugAuJ-yz0ypTcNDQJnkXUrfHtg_VAW0g0dzSbluxXG11jyalOpIAk2ysVUnUWRrIuLf_ayKeiG6bA6cBaxcbeibLiTmLByyj0m0tVQg5deRsqi4JpioWnECI8K616wdRUFTSXW_3WOTtJ08jqmwXCZOZXGyK8t501CWna4WcdIdrtTbypuGjRcTJc2SLkeVzvpp2ET2mTMqMmqEam2sTJI5QVB1tANyMJlWKWtAviVa0Yai6zuzysprV0zQ1wstT1lswCTOcLoNFGXCZDWEbhBGuZadQkNwud4riVV-W3mNsAKYsibCSAG28pjaododm20Kwag6GSAfHClalBrySTa-FNUwPdzGYUFpaDe453UZq7Bpdnt4N0TtqoOBcQBJOCpWp40tqGYAIAN4WcjUMZc2NQP8rGtK0IdfI5VXRe_SQYsMwonp6Vb6QBvxdaiVsc6wi1r-F0ZXojaIK0NFBkNcXWMYGUa0wgaRAJ8LOMqPq6GmGyBAF1GyBtjybqoak5xdmZtACWJiuppGm58rOaYy1H2ECRKziIukgTaDsl6Ggdob-6OFqKLjckiJwtESe8tkm4I32We0SaQ10xMlYEqztUOEgjMqNQtOprN7hWCrC5wkxA2KqeFIADWwL4uoqrRpg2M2gXUU-pv7uSBdXFiVZw0kHBxCw2yue4kDB9lg0CO4NzIuiK0pFUEERiElabKTiSB-0CCF2l1i1djyXQTb3TGWmi_tEf8AKsTF2XJsAjIwJsQBwEVQCBmRxws1qOYHSC4kQbAqyuq4hzfquNwtBajQSD9UZRKLSARpsPJlFO0jWZEgImjVcGugEfISmpai7cauOVi5pqT2zYiCVzsVKoAALE_OFAjXzI7vB3WuhqY4AHSdrgq4Oa0tvkk3AQFrZfvys3A9tB_cYnSMqBfUEi5aYiQnoOqRqdMDfdYsD0tgIj-FlqTtrpkVAQRt-eUbLUtMDOfKv0RBM7Yi6qbGSr2ybuFgQCselqZgntkcpISmDYBjAOFrGoUhpI5F7qYzXajBl0A4jCmU2GFTTHP4SpKSo8uMedkkBkNiQQJVwF7_AE4Ik5smIlqDSL-4VxKYDtLgM2hUFj9EwDMfZD6qC7STMmd1nF-jUBbTEEGb4hXFDeAY8nZPGlYi2QckKK0UKrZIGJsQs1FS7uLrG0dwU8XjyijWAXweSpVt1xdLrYGFYTpeg4l5gkRwFqFejRdqtIEwSN1tltoFsSZJlXRta8mO2fZXf2K03dzXGNXOFzvatnrtIEzKNS_tWjWNhJHE5UxtSo9wEmLrNWMz6gkAXssLqPqlpjE7KhxUEEuacc3UanRGkODgTYXaZRtSNZFpgZClVakTHMC5XOo0U3BrZH5VmKuwl5Gon5CvXxFsuJvb7KROjugCCccJbhC6hqAuFjdaFpEnb3SdIdjdMyZtstW6oF-u8W4lWUVY4h7f3GPstDWwtLFnEzQdYEbJTxBzi2wus31XOwD9N4K0A28WwYJ5VDRJMWHCgUsuTg4VEnwRi_ssX0K0S61irBYCS2T7QFb2N3TtDcn4VZqsAGQITGNUGqDsqes1SQ_Yo6RM9xBIIg8rOKIgGYnhZ3RzXF3k-Vb0mFqfXacXM4U9pgNdrOfYbroeCZOokKSqVrg04ItuiKydAJ-5W9Zs-jqDWxt4RO0C8hwAMeThG4AES4m53CKJDXAgiAVv_XO-unRsb5AWbjcMHggwL-ygk494FkQKgkAAEGfhZtXYABjSZBU_tTtt8boeqAlzSJWvjOYRzoiP4UaES0zkgJgs125Ocwukc6Z5mRcxwujCLgAb5Oy5V0iYcAeZK5fW3A3kGBtK0KyYAKIV9QA2yPhZoDKg1WuJlS9JW5rpAIt4XeeOZTLgYNxlSqLG93HlSIrEmOOApYKgaR_Kqke4au2BzKmImSQfHlXOgrQNQIgHdTYCXR3E6tko43ae74UE-4kWUDgwRgauVQWNDnYIte6mrq7AYAJm-OFUXk24UFA8tZ9V5sFYaYO2P3V000h5kCwsrq6o3MwspV6bwdreFr5rJmvi9_lB2o8gjhbnQ4kE3Wt6AkCSAZWdFGP1DFludgnMmZ8q4EfY-_CxfdCSWAxnkrNhmkaNRiLnhZasULosPut-siW6mAXJUzBwGlKGlhgwVmXsLaBv4W4gC0SCOQt6Y0teADkLTFDUQZJsjLjcHdGpfiDoBXOxvxNxErnVUHcMoACCbydlRQC9rJA-qFaC0y0AwVeIFVhA5j8K41JpWB235U8KV0E2wprLtz4WRagzVNyI22XXig1ATIv7BbvjFuheDbCRHNYAJycla10igBBAEQVkO3GMqsUNQkbDyoy4XOZ8oKC5HMWhDCuB2QBpvglAXPgw2ymJbigMix8LepCudBgiwCxrZHOG2VGbCNeS6blVzGoToB4T1WapYZneFNyOk9YaxGvuDifdS8satj-TYaS2Zgr-ga-PqrXlogjKUhnER2kOWTCCzhpEeyLi2mWTHyidO1H6XWjk4WvWb0WtUBu03hTGd1CrAcJO2CLqN9s7y5rJaS0bACVEvSVKqHN73Eu3BXO7aktaWvFjaYsVmylaGOJIBfBV_FZW6kQGDUQNjZbkxtrouLgBIn2yoLg6XiDc4nZSwadOkCbkXJSRmOJ1tPe0D2suni9QmstzsFk9XpVHPP0zG3KaRfpwC7u2ON1rW49KmQKgnG4CiO6kNADoObThWJXndS0OeCSO7JKWMztMOMgB21lGiPc5zWmTM7qKBPDtRlTO9Z8dSqBzjqEx_pWlCpLjqcSW-VYzQa5rXwME5Uqxp06hpIk5sdlY0Y9QG1NINo2wVf8AEo-s2pUvbaCrGKuWg6yDMCPlK1Eq9Nrqby6QSLFc74r_ACT9VbVZ-oVaZLiA4kEBc-mHdLXcx7RjAvsq29yj1PqxFxKniWPV6IucSJgxK3ZqNzSWtxLuQrsXV2NMydkRz3wNhCq6xdQ8XOkXuCp0dMTiDsDusUkeX1NECYMEmZKzWo8ysXGXT4wrknbRaQyD9ypvYNSk3AA5lbiVncy0l0-6amI1NWoFthECFmov0ry1wLo-cqXjqx61B8UmtA-SdllpOvXdcWtuDsiKUm-q0ASR5ys1ZWvpaRbrBkHhRqtFxpIADhvytazh6-k0pI1SZI4VGWg5hmDpAUTUn62kQPBMrXWJhqdXULmDiBusGvO6pp9Vzi2xNvZYrcVpQ4SBeIhZivd6F7RTBIkrQ2tqB-L2UlZxoYJsDfMFbRqoBw1Ak_KNSN3TaRh2dhurGm2kZOkQHG8kKrqxmBDdX_bKagioGVTaJAEAojQ2ZHBJhBQ1A3B-2yUSrVgCSLGN1jVLRgEHXqWRopiWEQfHE8pydeKHWB7O0DU2LiFwq2sNWiHO0N1Xt7WUCs_Ty8inMDcjdJG2t3TwWu-kxH2VsUtGGVNRDql8BZxMa6fcO43ByVSi5znS64nYKMvPrVXmZac3PCx9d5uPPq6XuhxIdtG658mnndRSLXXuVl0hC5wlpd2AWsudShReWvc6doCz4Ys57dGkOEG1srPqAwl9y4Fo2CZRoAD2gszyEnQalLYkj2O61bF9VY8PdBgDhYS9K0K0VJMeyD0qNyCTIJuV0g0MfqtIYcE7WWhPqLs7m6uDsjUQFNxJcXZERCza1CBow3mSs2KJGnUR_wDSditKq4tHdMciFL-qv9KMP_6WykjSupoaCDB88q0Mx0NNpOYKzRajUkhs4H2UxmtVJxa6zrhSpK2suCA7TN4Wb-nWUWuESH6SLSpei2fBpGHckiIUVV4yPMgBQkJTLWOD-4EHC1jNeizU8hxgXv5W0aR2Nt-6y1BUVLkZJ3VFqYs2L-VLR1Uw4kb7KNal6hAmf-EFKL5NyXXxgK6lq7YDCGuMHYKLrOWtGkQfKxWSBoa4zjlZoLQSTYjiN1rQz32h0ttkrUq6iT23lwIiEokXDVOIwPK5ENp9SZd5V9VN7CwSCGzsmBadSHRkhPEqztJY04ICtQWHUYB_skaCpN4id1LcVBzi4icLOLKUwXWNuOVmxU3kDuAWUtUoO7tWrV4GykhuRtJvAmeZytfGNNTHx7rXG2ty9NvSzqAB1e66aw12kiLlPQWtEthwICk7bkDU7V_YpYrmuh15ubFSeta1jEwAMwtqUkEmJuLQgQgSfzCCjHFsAGJ5CM3ob7kQcysXULZ4mzSFMxSVO9p3IUaQqNcBIt5WBJh9NhMbkXK1BopO9RurldYmqUwGumAJ8qVVNWkWP_CxgANgdQaTlZwTrH_MBDTBss-DmFz2kmT44UFqWoCQTa0HhYtWVppOOm4AA2KNaJEaiW3O4wEixOqOxoHzCus2MdZpFohYlRMWJlse6fVlB0kmM8LetWove0O0gQ0Yk3Ul7TThmpoLb22WmBd2snjISiVQkQYmbpFose1w7hJ2Eojqr9i6Z4QTFgZu5AztQNpjPsqLU3y04LsKCji7UDsOEXXCdIIdbcJqH1lzcRf7rLWna6RckjgI1qlK7oGYRV506TMzklSxqSKtcSNJcPB8pi5CF5BFpJ_CmJVKdVwN8Hg4U8c5f229NUAIdNpv5XWXprY9Xp3gvtccLWK9IOFNsRIm_lKjmv7tQOVjBop94J1H43S9DVRdJEmJsSVluX9qVXagb4xZSf21rIXGCRmYWarLUBbUJd_KjRhUOoNNxzKgqx-mCIABRTGsTaQOCs10lV6UlxmfuphG5hOiPtCmqdshu_mcqQWpkmxNsq6zgkl5JjHCWasgNzJBJKzgswGJG_KnjPdOGzFpPgrXq7EtRGwVjS1N0iR7LUF21CwQWiVAxeIyI8JUvaL2DVnK51RaCGXtK3A7TEaj8QrmhnQR2nCt6CEQL3Jws0ReY5JPAUHMECTnytCgIte4GQpRsoElgmxOTCaxWoNxKrItfBINwmojWZL5x4VbiJAYO6D5Us1tKSBYgrOCZ6gtE_lZAbU1gXnwk9DsMRa_PC6s3v1ziRYX5upjQ9oBtA5Kmhy4GBYiFqM72Uklsao9gtRP8IRrBDiDGyLBBDSYxsrmrscC4iIkhTMZzQqMJAMEjyYVaSLzYAyZUBa6M3HlFU9TUQPmVPU6TcNbjc52UD53uBCz9UzJdubcLolT1OLiCDCwphu0m61BXVpAHHCrNhqRcXEzstd1zsCqIEwdRCtWXGVwLXAiflcq1-SjH6yRFhtsprRgTEkKqRzpyZWQ9Jmq5GcK-pWyjYGCJHK6zxzcSNW4B_KlIIc3VY_O6iKC5Ek4umqckkENn_dAGvibA-6W4hXvA3F9lj6JNIkzY7LWQOPJBndMUrSZETJVxAqNESLELALRIJ_BVKOTIA4ss4TxQTtj3WhdlS93KeBvU1O_ACooKsxf2lBRrgMIH1amWOEVekcA2HC1rNMDkpoawEyrUK03AzIT4G8b-6GObUDV0gpJifqBVlCulh4Kz6JVHajAKxascxpGDdZmxdMJBuukjJi44gq0KXQYMysWjg824WJ6KNBaDA-YXbpnL6UkB2YPlZtaM3UTJkyusrny9U1jhaZAkut_CipHN1mtypuBlcq0a4iDCg4Tq1Z-U9FNbSPZAWgneAtiogAQ3G62sdB_cbHlRQYdpzYKfcqUj-08HwuaA36gRcqfRdg9N0QfhduKWadzbdxvsVtyAfjccooxJ4OIVb7hiNMqxi1M1Da98LKFc-SJIgbKqdpDRgT4UqKMcN4-UgYkAEgCEEdQ15i2QnQds_6wR-UDiwjCCbnEwVKDEA3USozAk3uklZEmdpHhBCq80wTYHZOU-O0jwuv_AFAUuoI1HE2K5c5t6ax_KudM3iF_QnxkWZT3gyimLBF5tmN0Z-mayGkbD7osI6rpLW27UQazC4N4IwdlUvYhoFMjHCh1-kahh3uIBKmtI15ZTDS0k-FKzWZlEi5bbykWL0ovYeAUsXGui6QS3OJhTz1MbenncyQFca8aGTpkAzOTsiNBJA7Tjc7oKsqEtuCSJViqUqktJtnEJ6lmlquJNwRNoChJitJ4LzG2Y3UV6FOn6oAG97LW4utTGuhrw3TB2usorU72mDBBvOFRnfTE6Q3TuXQrBgqDS4gO7QZtyoyjP-ZAJIAUW0sOJDQYJEmFcPXCaZgEiQlSnc8lts8FTTE2iDLnZ2hVRbVOgybTiUJcMXFriDurDSuqENEHuB4VSvQoVDUoEzJF09Cva4U3EktIF3E2us2NP8r_AFqaX6h1Eukl1iN1yxlnpvs1wAc2Zltlpp6nR1CYH0mdwpS-Y9bpa2h8k-Fth6dCqSRBypZGsbNQAI5wtGOqHSyY1HCDy6zC9wP-k2CW9ON9Tq0_8sXg_wAlcXWa8ysyXkXetY3KxV6fpkiPN1JKupAepByNws-VQYA3y0WLk0RrkQzDmgrUTUyS4O0tGlSoLaTnPANhtIWzxrpVCJ1EN0iIGVmzVXoObWeQ5oNrLNhVoNPQTYSuaSL0ajg42LhuVHRqL6b2iLGMrSUWAuYRlsLTLzgw9PWkgydlPyzpK1PGtjD9PBGEXUi6nLcB2_lZJNR6qjrAsQOQVztbZ6Yh0Akeymj1enfp0wSDxKuj0-ndILRBm5BytGNrGNaIkkxYTZWDRRHcwmxn4VVvpNAkAgziEiNIYWw-IgfZUX1kU2nVBbe6YI06sFr3d0YgQlXpro19Ti4g4kKi7YJBDoPGylqI1qf-W4jtfPvZc1_x1PU4A4IMWV88GmiSKcF5iVLLW5cjqwNV7gHbLk1CTToU4edZvbedlZkdILRIBAAICZ1sUlWq2kCDc8lZZR_xUVQQRIHbAyst4JqPfJMtg3ceVEnalCuGkF_c51vDfKq4zVDL6jMzxv5WKz4yO6eHEHtaLzMrnXWXpi6kem-LidnbrnW5WBzg14cSd7LlvalYwuFnEDN91bOmtMGaogZWMRVpLGEA42hbQ9OqZsO4iLWCzgq0GpEtxg7rIcM0AQe60lVVaLwK1-bGMqr69QVJ-MLc8TGujZ7ALeSN1YzruoaHklwGpuQrjUZNR1OjfxELmqTiGuBBIG3ulbhi8HPyFPA7XACMeU9WKU36mxq3mQFnvWjA6bGXTtCoct5sTYXUopTEEgHGx3U8ZtbJgauRjhS9sLCtAFwDiVLI6as27Z-658ulVYC528crMFTWhjhqkCy0ulpvDyATB8LU6Ruoum4kjytjUw63DUbDC0Kt-uw7TupotRkGQSBwrg495i83U8EgdUgCANuUxdVoum7iJGwUSqF2LLXaanVOps41YWeXa6iR3QDvAk7LnRZrw0EfgKQBx28e63BIEkGbq1cTdSuIFjyYXPTAYYkyCB5lbINZwdc-4EKf2tZ_pdyMkhYRppOa882wVq3TFKYDCYIkYSH1F3c-w0n-UqoVNZuAR4WKqUFp7jHkqbrVIHaQNysMLNfEGQRGwRO2inU1MMRq8qrY0NgvgiSStSYZjX0zyXtIaQJwtxLW0wRiSbjwrVg64gtuUrZ21GxJEnnhTVTA1mQRZLUa2drSQZ2urO2oBls6SYCqpkSQSJAymIcHSJuPlTWeVEua9oEgzyP5RiaLDYwSZ3KmOn-ovuSADp5WbGkSTouSZNws3-hG7KkGQ2bwpOho9RoiJn3XWVleGvEZ4T_V3R0yRGBkcqLAc4i2BiyUSqnU5oBnfK5WLilEud2kw3MjKziNLDeDcDcYXOxvFmkE_wB5WdxkYJcACJhblhpKpaWaR9-SgykkN0uEkLFESC6CbAZVxHVXhhcWrWb6M4YSATY_yp4osN7EiLEKwOXSwt1YsCtCDqge6wsLWVPQgBocfutYQXggye2cQVn0sKahZYRB3Vz6hpJMGARutNbMUY2ZPJ3KzcZUa4CR9XiVnAWmGmxvwVMDtqFx2sMlTBSnJvIEhFjm_U2b8GVfjXa5Je0GBE4hRpak-KfzCGkqVdRBBvi6hHUao1NG3AtKmD0-kALbCx2K3xZ-vT6dwYfrMH9q3rb0qUVGnc-U1DOza8KAsfBhpIHKnIbKD5Jn4mFiN5Far7QTMbgJe24ztEEAmdwpewla7pEfKzYus7jpdM4_lZaFtWRHOURUAEZ-6zV1oadJDbXT1uX42sJbTnIwubStN8wDKt6Fw4W3IyN0DzYbA8LQcXeA7PjCz7WbTgxZp8LNWOFvMb5WkyFc3uNlY0dhAgQPdVGgCRqjdPFAnS0xLSdgoE1kxMRys39QEP0sAmbrWYK0snz5Wpf2KBoIM2gK3sTqaSCRcgYU6Ga5HnlYsBY0num24SUVY5pOPsrRsoRcloziVGa0NOBJg7LTm4DfzhUTrPE3MIsZnOBG_vss5vrog9-gEESPClz4qBN2zid1gHUJiVqCoJIsYcrueCjQItlaCVCccqaDSdbMqxLHVagBx8hbZKCXOJElFw7AdNon2VhggaXnUYPlXDcJVcGNmAY3TD8mbVF8KYembUwbrNZxeiwBxIJvsVIswah02AlWtptIJxBAusiweQLjO4WtEah1TFiFm0VB7bDPC1ErrAx9rp4XxSnIddbjF8F5MCJOyvJGevDjcflcathbNAAJUO1RLm4NkdCOaS4E28Joeg2Df5ukqNtOADvwuvG7HOucNRB3wiRzWgOuYU_sWJlo3VAHgW8FTQtWXH_SFm9iLjeBEBZBB1Rb4VDnMbhbUG-dhlAHHtWEPSs0iZ29lRzTpkYJMhQKDeMBO1qzXA2jSFZbUWaAY3jdXA44-ygcugGfugai-I34BQaQ4tvk8rcDh42zwU1n053IxhWZQNMGdUcqUOCLEAzKsgVxE7LVDseDc7bBT4OdDocXX3WAjhkxASQFhklUM1hcumJovJj-FnkpIdAn6lyHNGkCQR7JPQ8iN591sB51f2QDUWixgrcSwQ45WtrGCHiM33CuoDgQSs2tcS3Lli1sptBJ-FhqDSOsGLe6Ss07Wwce4Wg82MKhmSQLLXZBcDHCdlpCRGf-EAL5Gki3JWOQYNMA_wALMF2wdMCZvYwu0S3FHYAifC25I6nNJgatlPFL6hLh42COlWNWJ-ys7c09Ql3OEQAAcXV1RaCBtfdZ-oeS0Zkfytegg7i9kE3m9j8Qs_Qabu0km_sqLDTAJExugV9xxCWqXV2jdTNZxJzpmQAOeEMIaosGWBOylq4zdXUb6TiXaQ2brNuTa1H-efr360536i8MolzQAJmJXi5fy9vTOPT-cDW27iPC_pT4SCO10ScKr4o4gPAmWqo4CbwPhFjOWae43dOEU9J2sukTHOFcSYYlzWEECNlGiETci2ICzjNQqlwElxAwJvKglQGmpeIKEXcBogxyqur0W6IB7d1n8ZUXZ2kkHuAC1OlxspvecwB4VMVboJN5A5xKUOwOLgRvwcLKnNZ1J3nF91Q7YcQQTbZQO7ufIOmRsg9DoKmuAYEcZVwbqdXSPbPCLhtbiXuIOlxkJhhSGvmQZJiZVPGLqaejFgNoup9YY9bWm9wRkDCFIXgaSLC4ndRdPbQLkk4T2JUy2BE35UkXSOdLoNuJ3WjVDUY0gATbACGJ6gXkXJPKiC06mlsgRuclDGnpHaBDrg7LUoxfrvUVOn6NzmONyWwPKxyqP8560uZWAqE6uSsRYjSh5OkzB2V0b-lqFrhAOwucLNHt0SWiZkG8LpLqa9Hp3hw9twq1rfSMmZJAshrQQN40rneSMPUMbTdPyFN1i3GLqXDSDEycK4S9sjtRvvxwtOrH1FLWIIuEGZrdLoeNotspilqOhuwG8bpisemXWaCFm3tmuoEucWxad1c6I0FgLsE2gwcJGyuOm53AlWh-nrAOa4HB-5XK1Gus_U0ZtclZamKdMXamjUINxKn1caw0MeId8FaSqy-DFm8yqyyVqekyZsJlZT0elqeuw3uNtlbWpCPjVEXlYahngua4EySsYM1MDXomxwoN_Sw9wP4Vg9HpDoqEGWiMhbqvUbLdI-oEZViK0qjWOAHb7qq19O9tMgtsbnO6DZTcSJyHZ91UUEvcbkgWlURfFF5AwFKuLU6gZF7zfwm9JkVbUkC-nJWXSQrup77EHV_qWWpxk8K2poaYcNJNzuq5eNQquMuaZG6q66nUg73C58vXSRn6qoa3YBjzlc3SI0OsfQcGOOubQUl6VWvW0y6ncuwCVLUslToVIGoyRBmf7KKq4AU2tPvPJQ1qpUhWp6wQBMG26NbAqBsuIOBeLSpYxWOsWGmSySRyudJXldVFQmYkLjXWPNdTLgA6APdYztueDTBY5oIgcpWos6ppjR3AlY0oanOFr3wmosJ1AAWGSoLZ3uAmKOogCYxsi5VKBl2qTAVkSzHodKXVIN448LcNb6TDTcAG3yDmy6YvRq0NaTp0u8mUp4y1GlwMZ_lcams1T_LYAYv5RqUGuLoEws1tRrQ12YSUWpvayxdPgJV1RpvmxRTBxD4bvdRNPq01JkNE7ZWaxbrXrLhO3G6JirD2yBjZF1VpBxnysVZa0MqxJkYwFjGwNQvZIsM4Wggc4VAZ7luQepQqQ29rLXg0ggEGfsqLseNWkD2lE1cv7rOg_hNXSCpJaQJJOYS9xNISc3EZQ0zHNADpHmMqVNh5Oi95MrLOGbLmkC2xkW-FutSIEBrmkgEg7LlWja2h0kmIjtUgctgQNrZhbHCiL8nNsJWmerpAF7g7LCWkY-WmTg7qngvOrAGN1moQAMAIxv5U8FGHS4QJObq41p6YcNhnMrTI1G_5cTB_lStMtTum8Wws2qV1hHhYWoSNZMz55KlQ7YsJt4wrKNFAkFpyDym9o1B0gT3HMLat3R3YALEXtZa8ZxsDe2DBICp4V74ZYGeVlrTNp21OMeEJ2m2Wv7nG9pA2Wb2vbZTcciSJurxajgdQdJzhbaTq43viFb4lPTu2ZJPlcu2McLgQYPGJVieVxuGiYcMjKpqb3SIN_AWa6am4beeVk1Gpd2cWE4VyKNNwkmSrJ9ZxrBBiHfZaJMEENeL_AIUwgPMjHslaSMtEgXlYrfxzZcbT7rGs62NEtGk9q5e1YrTJi8YiyY3ZKoHXgmD4KYz-JKj8giB45SljLWeIaefypGbMTJ0Og3nZdJEI4te0S6fBsoIF-lxF_eVANZbYD7pBwqQ2RF8HhaEqh0QWgmTfygLHiCDBOyuoU1STi3PKGkJAd3GBtN1ap2udJJE3TRdjnQZOridlKKgt0wReNlA7WBsQ7TbKBcOAF_JQX1yBLcGLIuua6J24lGt6VaXB0_yVKmqa8wAiEcS6e7GwWKrqZ1ET9I52VNet0LtTBpOqLXW-JLI9Hp3lrr_KNWa9GlLqYxHCTtJ0swyAJIjFlfurpmn9sgX3U3VnbQxwDmgxAETCy6TtSrUtb-FK0nqi-f7KeIm8ar3nhS21UKsAz_KwsJryJnhFUY_ULfYrJWqk8-D5VjXFsoEAXJJlc-XVdGhvc6_8rOC9MXguj-62KF0OgXHhF02oweUsxnDA5FjZY_tT04DR3TfhXWQBB1Abn7LUJdVp2FxEmFU8Pr072mFn61HPqQDZFSBh0QB7rPQcyYkyZ2Vz9B6ZhxJst4KS7xdP6gVx0iCIHKmYIwNfjCmjvTmI2UFGy6xwVRpokAgYhEq4cIN7-FpyDWXEyAAquJveJ0_Ky3Ik4SLD42VnbSFaSSN-FmwRcRBO38LGhGk2Mi2VqXBenU1AknutZP2L0yC0TEg3Vmpey1huPhN7VnbV0u4Purtoo50kRxK6IF2OsQiDTqRfyqWqiDzA3WmbdReNTTFzuiMpdpMHKNcVA4OtMLnZq1ppGG3cT7qRmeuqYODKtdEg7QQDcBZFWkOHAPlXAHMl3dYBMHF0NsVGeSeqCCLjAJRZOmhrpAIPutpVAYaQTlbvcYRfdwMScfC42NAGhoHCkJ2YgXEq9tkeYuDIUD0nhpBNzGU9Rqpu9RubgbLfH9MWHDtRgwCqyE8QSgszS4Yn32RBABNjPspig5hcb_KdibgCAbQMlMCiCf4IWgHCByeVBwdAA0iDmVKri8ajudx_ss6p4gzaYxyqnTn2PB-yzegrcj-y0HwwmbqItSqdsQIPC2KepAAx7rIBqTaZAygZj4eIMNOyDexw0Az7rUTsQbSRvyosh21QN_hai2CHB2qcLNqZgsdaRstypQgbhaxDBwYJ2UoYw-SCLbKTwcXEk8cJ4OF2zEBWVFTFtl1mYmJuIL-QuXJoBDhGolc6AJBIhJA9omDdaAmSAoFLgBldNHB2qCDAV3UOTM8RF0l0xIvgeyzujmvN9j4UxTkB-QpgDRpJaPuoHw6B90FGNLzB_C1AwGmzSFrRzpiD91mhL3-yyFLQNjlEM0yAJI5WoqjJaD4W96Zs2A50NkzM5Rmwr7xfbIVSTTQ6k0EiR4VW0AZA2nKsQHnIt4KfUCm4tyI8q0V1k32UgNgNMyZlVRcSHWAUQrvqJCn0cPCuizTAAJug4OmxslCOiwmwQZartLpWaI65z9WZWZNq_Hgf1H-s0uip9zy3kLPO46cJr4L9W_qWhV61z6dNoaQI7Vw3fI6bX89mjMnUF_SHwxwBEXibwotEu7p2VRz6kDTcQJCKVzNTSHAx4MIvpGMl5dJI4nCupJ2tMaQRqHIUUKg0sOnOUGY1DUN7KWAeg0wZl0SsqsGHQDMclGaoyoD7jYjKIZlXuc2MXVa1opVTbulxkKw1pDtElxHtlKpw-LsN9hyshvUD3ATI31KxKs1opgRbgIqzBqadQAPIUF-laW1YmLZC0PUo1dTLntI4iVGtHWBuWhWIUNa10h2cBVm1CuIcWzMjdDYwuDQwx7FRm0DSDmggwfO6aBIDQ0keY_sstFGku8RdFSrQAO0k8nZUc0kvLsACIUTTF5dRlxAcOFN7RnokUgSZPutErb0xDg189xOEaJ-vVqJ_T6ja1tMON91jklf5Z-odR69cm-i9oWGU-mb6dSwlhRXqUWkhoiPIQexQIbTaSZIvb8LUuMxsoVXau7H4XRZ29Gi8Pi9_suXKq0vNrgD3WLgzvYCQXGdpKSufJk6imA1sDByVdPxxlImw-Qtce25UqlL1AQRAHG6t6a151alofpBIAuq1EHEiZIcIwo0lUoNLJAi05U-oSm0tpOOCr9MWqVC6nBAxaFnRMuGiAJNiAdlLyNDonOFa-9yVi9pr02APAJIuIjlMPHNeKNYNIgD6ZUaleixocA50cwDlaWrMudMNMYCtrKFY9xBBJOZwsjPpZTqt0iIWY3HOc4vBIEHJUwMaf_dI8LIyxD_nPCg09M_Q_TvsUg9WiA9pdMYuMlaG5ksDQ2b7ytQXphgdpDJd_Cq429OLjztwg10nBrQHCxKsRenSDj2uhiol1DWl0XEnhTGtNSdDb3AMnZPiKU68anRImVh14-Ih0vnm6ze2j0tFXuGBuE7YvFoY7UATqE7haYs3wGuIqEMAAIkpZ121xqFUEanQXNzO64NsznXMYdfysqozVOoMEb3wjWl1Fxk2E2hG2ikfUa3_ADDa0xKM9NtJrWUGy5urebBE2JWqvJiWATYqerO7jNVcKVI6RBzdY5Rv8Y8nqqpd3C88rjWmKo9rg3TAJuTspjcKQ17mATqGUbO5ukDSNMHlc5MZqtM6owDyFNmo6kblp0knJlT-1aGnSAXdoOISUhqbQJtjzlbaPSEEB15OANlnSt1GrDpcbYACsievVpn6QDY5K6xIrVpOqTMX_CUrJ1Dw0DtuDAXOz6MrzqOmN7cLmQkFjL5Oy036YnS6AmBQdWIUxWhjzqF2jYE7LPaqGoRIJtkQEiYdomLwFm-ou2cEzyTmUVrpkkicG9kkTDtNwTN8KWLIqH6AXE2wpmN-ASSJj7lXA1M6YsY8oN3T1LaZOo48LdGxlSWnLbXkIKNlr4tbJRnK169YDSA4AYVjJmOFMRtkRspRKq8F3vgIYmJBnyouLU3k6bwFcXFqQhwvPyiwXA1JFgfClVlfNPsmOFjOxWmSZkZKodgDiQXAEcZRWasRqcBbiVmoiCQR_spq26oTYmApURqQ2838YUoZgLrjbF1qLO16bQ4AH6totZUzBrMiI3_Cli6g9vcZFsLOavrO6Q4GI2BKzZjWazucWi4ho3Kln1lT1ce2AISHbVRJcCdI-CkX1qFOXDAA3BTtG7p4D4PcN5W4mt7XAtbMx4W09Lo1OnfZQwahLZMg-SoedImdWoSTwpWlqL7B2HZKsalP6gxnxCu_WtNILYMkk2gxCvqVzQGxm2bqIBeC2TY7WUS9g_iDa4O6X9JCVrdxbPjCzRle6bAmw2_hTYAzu06iWjMK7K6qMaNQdtwtbRo-iL3GQluIpY4gA7JKjnDSQLF3vYrOrrO8hpI_aDmVztXVO3S0iZ4BWBdgcWibbWwstRoa1rIE9yTttRpOqTcH8K4JVXQ-WkX54UwtxiedRgC5tKSYxbpC4gNAMuFj4VZRc60EgwqEfEC1zwoibnXIMwop_ULSNlqQQdfuJNirgRrpPJmZRKoHkRqs0lDCvkQ6CALCMyrhmKMcXOzjKmKph2xi0yl6Ks1_bIkTyoK-pi5n2QJ6mp2owRf3UVzKwMnFt1UXY4CSADA-6NRVlrgQOCs1lQO8gKrpXQ1xjJWNHMc5zBpzvwrEej0UAgbDdbnQ9ahAMzIWnWV6NJwxtFrKqdnc28wMSVKxeJmduBJGQljUXY82s4-IWMUznawSMeSpVK9wdbciLKWOkAOgXnEZUwZ6n1EjCzjWpmQO34UFqR9QavxG6xfRqa_SzeOAtTxWmkSG3gHypY6StYh7Zj2jZc1WDi8XFsWVQ4cAI8IomoZAEThLexYuPsFkF1S49sKRKF234uYWqzFGPNyDY8qxpwMk772UFi_9oBmJVEXxI1GSEyKZgLiJi-6m54K0nB2_b5V3RobZgOW-FuCFcCLWuufomAXAzzuoG7j_ALJeg7D2AkRwVZ2L0zqOMcKo0EkiTha-MfUXO7gMKNhBDjiVJ32pXEO4-VfBnPc6PypfBKo2GkkYWBIEOgW-FrBWiwN5IyBsnou14AOAtSdCL6snmAs-CcAu1RHmVqBmbA7n7qwUI7QBOpaZ0GNggtsTyrGaprtBIkrSJgSTAtxN0EarXAxHsApVldTaZLllv3pqBOkDM7QsuedlJaH9oM-UdSgAmdRE-N1lKqxuqxIHlWU7IdU3GOVbV34DiQAQBHCiVO_xwEnY0s7afK2k7PqDokxZblZsxN51wAfZZsahRkSPuuauDrmRhVU3umPP4WcDU3SY3UGuj3RZdZ-2OSxABxHgKsmAP7VEVDQW5goEGQ0DwiuJteDClCyDO42VQusAkHHhAoqCZKAP_dpuFMUGtg6iLj8rGLVi6RIFwmMlcZjcjCuAtA9wLqrrg6SBGpQO0EEWyfhXUPqtfm3hTQA4TePBQVYNcYVGmiQ2FdFpuQDJ2CWqa3zhWGqMJbIIgZUsXRDXGL2KrnTOgzmy1oXwDAUWRaiZmZI2sqUYEylQYM3wOFZnoJf-3CWiLnkusVgEu7rO-MIAau7cHyi4YVDYGJ4SXUwmsE_KGELoB3OAthtLgYEAoCXAZsRutAGCFJ4C1waQeLKioaXN2ypQHUyBbM5WA7WRIEz5VnYsGiLgg8hW9BXOh28IFNjE2WKAy1soASZHPCq9Drh58flWVDufA0g24VCfVm_ys73iHDmwLHhdYoOeTIsQFrzxzoWiVm1qeFEmbSArEtB4c0EoydjgCCBBUiq674vwFqVAc0uN5kbhVHEefN1AwPJn3VAJuMkKBpIubqidQ6vELOiLxIMWUGV5DZGJtPCuNTvp_l39X_q_r_qhpB_YyxtYrx87terjJj43rK7jWOMbFSWRm1-I3Xs3K_pWvhgBJGD8KI4jvAyOOVb2py7STO9pjCiiZdpGoGPyrIaABYSLWP3VUgqlri2YBUSueGuJyZGQnxETLYgO-VFOzZ0yTwFnDXNdDjteLol_Z3VC1sk9puSNkCskvLWuvvfZEbKOGyQ5oJKsWRan3fUJn-FWmkFrR27Wws-poBjtZ8lXw9WYHvaC4tgGIKUaaBaBptoF8qFaabgCCQDexCm6Rta8G93OO5VVRzy5hElzhclXApf26pFsKss9R8XdMzYhStYzPPYCYngKM_SucTiEaScyCD_CF6MKzDkQfZGU5DoIMnglRqEc8NbJaCJ5VC-oSxzQTHkbp4yFNgLnaoNvypel1qptmNLw2MCUSPnP6tdUqNbqJMGIAyFirXxnUMFIyPuSsMk6cl1WSIZwtRqPVoOgtABgCQSolen0dVpJbFsSCiRuaLgNsfK7E6eh0zywiXNM-JXLlBtcGlpIn2OFjBnc28SmFI-lqzOncIt7jLUok_TAMYSXEnTO0BpgtIMLrO41GDr3Q4NlrZHCjUeeawdF42gKtFq1WAOAkzspgiarZcJ2-kZUsvqak651iSG7LNuMKQCTpkGIKxap6DS2IME7KD0aTiWNBg-AttK1aTgQWkFpyPCzVkaKD2iBElogBa9G_pYsW4OTuVA1agXsLtxgkIPDqzT6vTqIM42WUbdIbIzys1qC2kG0jNx5UkXWRzAXSBBiw8LNFqH_AHGXbWyFYPW6QtIg28KjZRdbGFVXpvOouBAnlVdbKLzEtBtmLqo1UaYjU-_yiN1KPSu3TvO3srVZ31WmsY9yDymmA0h1yJcdlEVpthtpBm4jKmNS9s5ZqqnIExCz47L0w1jdLSG3wU-4HDnNMC4yjnZhhUAa2QZOIWeV6OMF9UVgYgCMhcXRlZSZ9JHd_qCBabW06hBkA8coKGg2nYuJcTIARvT9NrpeoSRe3FkSqdTWHokarkQY2WWWOhV0H6vEkYCizrs9ZxqtiQZdus12nbB1DQ8XiWmy51p5unSwu0h3A8qNwNGlze-wO6jQl-CLAbrFT1Rjpplw5kBc70yalUAe2AQSDO61O4sO2H6QXHyDsso0wC0FoJmySrqrWOAHcGk8oat08FpcTcWuunGkr1umdDAJjkFbMaiAd5Bvc4WojJXaxptadxlZsbZazwW6b2wuNifUHOdI_uq3DgiBJElBwBDhcNP3U0WYGji-SU9HEkEcYUFqTgRG82AURZlQiqRdwFlcGym_TpdwIgJO1h9WsNcL_wABYWDkQZEcKetXtRpA08g5Kqi2qHvi0TmVnUbqZvMwMj3XT4NDKoNrgY591rE1ZvUd9sziFk1sa697-QLqsgXGzdUtNirgQNJdvIwqC4kGQZj8LOKowNA0kaiLqKadABiHTcBTVUFTg3O6YlI9jiA_6t1MSHpktMwmNJGs4EwbE3soFe_VMSBsN5XMQDtLoEk7kqYCDYk3A2XTBOobZhpXPKAzU0kC5JV0bKD5FiDsimc4ObgGOStGstWHEftG6z41KzVHNNiLA2tlGk_T1ZuD4WLUwW_W4H6lDGnpHFuD4mFqxY1aoDnGBffdJP2t6bOkMkTMZBWow9ShBbBJxhaT-g-gylgRzQWEkzOFgxEwahiLZKmr8Vpw1s38qztDPGn_AOJzBUjbg6x3nC2mxzHd0C1rnlSnqk9oAg-6Gh6kSLngbJnbM9SrENkE2nJKtXUKYjAHMrlSBVcDU0zvBU1uLtpgFpIHsFvaunfUayAMq--oYvc-NMExuk6Z0znANGqxGCs1JWJ5IfkO-FzxuLdOSIDhLc4Vxpua4lu7RNliqqCDpk73AXPcWVUxEwR7LUrWs1R-p95HnZU5eMlRkviQBsprmBMTgj3SSyjPUaC4xHK0JMGokHtOZCM-jJ1XEqY0bT9JIkEZ4WtEXvnGBaCN1dTUW6mbSeQoapTBJMn5KaaZ5E9twOVdNK55AAt4Q1anDWycm8DCq-qMIeLAWt4WatUJLW53hWIm7Pmdih2domSSAsilMgWEm-RhFlxqY-RBspiC4Q0jIzJ3UCCXRfdMFqBGA66g9DpLXMauVWnpUYiQ73ndaR6A0ta1xO0AKpDF_dIOMlbdVab8yYLt8qei4qCm1onBvdZo7WXkybFYCwGnHcTaEdOJalQZG1iCjRCZGfgLF6Ey4gSBMcLNaNTeQ03gqXsa6L5aTkqeNS4tScXECIKvrfvb0KJIACxUl1YQHGLLFaUaT_8AaRPoh0mS0YV8VSbCyocS4COVJ6xyPzqgGVaRxcZsI4SdLvZAQXGbEbjCVpp1CJubRIVkl9WErM1NBFgFnl14lIwnVAJKwLsI1SCI4K6QW9QQeD5wqJVCSW2nZYmyhYvYW5WvRQ2g7pmwVZki2PhSi2kiD_ZWJrnVCWgDHCok8HVfu9lne1dOtuE8C74MDHlW0TeC04T2DO905I-6bMAAAuIlYFKZsJIAW4GceyYkxF0wZHOvgSsUMKkUwc_C1AzXktbNytQXEFhyCV1nbF6oa82lTwAtvOmFdMFz2tMQQFWfaQ97pwpW8gi0ZjKyeD6xYN1MJExUJBkyDwstHD3CIIhVKsMSblOsY2m8x-MJ6kTqtJdIkT4yli7SBoAMgg-FJFMDpgSYW5CdK-0SrFvYQRINtlapXwBAzysUJJacTtKyoAB2rhUPpkDbhZF6DrZnZbiXxYzqB5stMVSYi8RayMq6g9psPCgm4EE8C9kXwhmBYn4UoIHaBBB2lNRN2prDYHyoFmYM3_hX0E6oyICavgtcQYyMBTaKtDedI8pOkdVuCdJHwl6E2uwMe6mrh2R_2zixVRYABpnYq4rnN7cyBgLOIk_jMpVVpG8Y4VK00alyDJCIvTMGf_Agq1xkiZCsRUDUB4yqhhFyd_sEC69RgKtSC2zoVxb0cOLY0zKXpgzdWqDBlWdh3NIbEWVoibk-2VArRcSsWjnyTYBFhRGmd1mtOJDBfKBJiTHyiHYXAbX8LpqYqagAzdIiDnwSSFRSlBFvdUWptLrACZlXsVazTk4KtALSBkrmLNaBkldJMQKrhptJ5U5KgT-4W91jQhdqdE-VjRXUCJycLUHFkCZ2QKAS7M-6BmQBJiVvAHCHAG_us5l0NTAaybATytShyNTYW52531EgtkLNht8FkmJstRKcjj-VUJaYi26ypjDDmwxKugBwDffypauOD5OYAVlQ5cIBBRHF4id1Qusl1iFNHOeA2LqVUXVW7lIPJ_Xut_wHQVaxiwkWuufO3G-M7f45-rdX6tWrVFiTk3Xmk6dvHh1ary-zZHJCia_FZgRN1_S3w4QHQTcTyhhi6YjZUdT7rgkkbKKVpLN7HYLTKoMxYAlVUqjA5xgwOSs-ro6oGlrS4Rss1krzYZtbKrU8MH6WgarKVRZJEbE2UZvZaoIMDiCE39m9YLWlp1XvfCz6jTTeAdJFhutcelXa0tbb74srTV2uDsZ5myni4rqDZIu7winpWBIEnPsr6jTSpt1dxEz91CrQKbsAmZuoyvTd2lwPmFqNRbVYEDPiU1Sw1rZIDSLwjJajm2JMwo0zVORgiyJ2i6ppgHI8IaX1dQkA2Gyna3tIu9RwvJH7TZGcE1dDYw44RQY9tRxJHwdk7TsrnOc4imJO6I6mxzCYkApexv8A08gktcNeoSCRBT1qPH_qToXVqfqEmG2hZv6ar4L9QzAadO-8Kes4z0CYOrHOFM7xJ63dPXPqBrpeBtsi429PUDCye0O3GyYY9jpHE-ffhdfVehQqDSL6YzZRhb1XAATvCAkmLW5JWcaw726miGhxFiuWdozFkOgEt8JmDH1DS1z3Ez4XSXpY8n9QBLdUHtMKtR5zxci05MI0iX3gNa6M8oIViSQAYHhZ1hSi5xAbuDlc6NDHF78CDkrI0UgSO0gXlBso9O2C4EiL3KuukUd1A7XaZkbLLTqD_Tfqi3Ku1nG3p-obOoNEi8ytGPUpvZWGnXImRAVxHjfqnR6OqFW8nbhYQKZae5wgqeg1CALCxVVmqPaDZpHB4XOxpWg71DP-nCD1un7RMCMrQ10yHNzm6qtNB1hvfhVG3p3gBwgG-EVoY46iQIdwUGgVXmm2bg_tOPdETfYOxE_JKLpmGDBEGYlAXVyw2xgcpvQmwOc-dJdG82XKz9u0uqB0TJLjCf2qtNxkNfIO4_haY5OqFuoNuYzFlnlNXj1BpOawg6SGkQZ2XKzGkepe4Oa4AYtp3CyEaBoBAA9syqLudoIOol4GeUa8R_xEv0tBYBJM5WWp2g5-t57iNyQcpjf4RSk0OdLZIJ-UPxM57mkh7ROQFLGp0xdS51Sp2mDwAud1plq0HPiLReVzNxNokEkQQTBO6ms3kQxERJCzuNQGO9LuAAPB5WfVUDTpJIIPC1UVoTckdpwCFyGhlRzXkTDhs3-EFPVzpJuMQgpRZ6j2x_8Aa3xWPX6VwLfldNZ1uawOdLQRZajLL1DCLuyDkKV1jG6C5xL4J2XKiT_8xw7jZ3vKmrKoxjS3AkBRoroLbEzmyYFp1LxELQcVS8CSiYs2ALui822RWnp3gktH1fys-VWiWw67p8bp5A9KqBmbW-Vhcc6oAfiMoqjXmHTLfdGLyK0lp-o3uUG6jXmA7BwtwW9eZaDH8FaL2syo-bAi6DZTqwZLrG8BX_BYP1G_aCRCBnH04kg3sVAkl12jPBVNM52nBCxWtF51gbb5yhp2Vo07DhRVtRibgHYIEcYET7EIJlwEmLjdZwBzh7eVKMrn6ACYN1yqjqJFhfIWpTE3ku7YkThLqGpWJlpF8ysWizHBsWwcLQoSHAcc4WhGo-DGrBwixmqGSQ4mBhc46CwuH22SyBB3u5J3UTWqmQ0gdzYGNlqU1pDRUEDda9ava_SODHDcgRCMvaoOEDIAVZ9o19IAJt58Kl6qBIIAg8rCp1HQPpPHlEjqVTuIy-10i0-qCWmw4CiBfUNhC0k7rqYAeSD7yUxVzGmCYKJoEATb_hUlSquIvAcQbzuFKsQLw24BAOLLFWptpkuBF9S5jTTrXFrEQukDa2kQPqlVdc1x7ZAI5CJTPc4MAP0xBlZuIzzcxYYJKw1NaWuA24R0XY-YtN7lRcamOk3MHwuXI8Fzi5pa4C2Dup_aM1R2nVA2lai6z1jMkHAVqJOd2nlBnc68GxVZ0o7jqEW8oC18EGZ8o0Lmkskk5myIzOqaQ4zP-6uGEDQMmCLkTlEw7GtbYEkC9ioG1GYGJk-yBPphVF6b_wDKEkAcKKsJh0bflGjF5IOCVr4A2zt5N7Kau1Rj9RIg8KIIcGGJl26C7KkxYRyEwO58iJ9xiEHU2wAATxhSjQ0AGR-VnujXRdpLSYiMBbkXXq0Kh0zB07StYjQ2pY2N_wArUFWGSf3Hyr26a0U_2jndSzpVXCzh4tCx6O1tDtyYj2WcoLiCDAIjdK3Kk4y4XHkqNoVXEZkxkrNgLKgFhkjdZq6rTfJxJWTVGOcwyJjdTFrXReeJKrfFtZUhuod0DBWK1f2NOvqcfuFLDWinULg4O-EoYEgA5GYWKqodAuYOy1KKUqkDe32T6hy4uGRK0l6dcwCZnZSDriLW4CX1pZjv9PyFfEAS4m8eFm-CcPDs5WFaKYhzQT9lq3BdoAcRHzC18EXHVqaAbHIWb4C0GzVriHFiP4VgvSgTEmylqWLOIcBExuCmsdks26l7aibiJsAfKxOmiuOkahdal30JrtMAHiVvoI5w09xzhZt7EQy2rcXQOdNM2E3ulCarDB8Qkok6oQPG6eiOouOLnhTdDiGAe1pVFJgA2EpvQrTILYJsuvFD_tyLYC1SFBJNhfwozQqNki61YOIDAQSpi7kEEaYNvdMTd6Tc6HZusVb1CkHQLTuoQWWsLlE-tdJ1xmVo_Ezn3gixRMKQTc_hLDtOe-JkeVI3nRXW-6qeKU32I2Bgqxiqa7mOZurXSJucJPPhZUhu0kZxBQAOAsRC5WBg46s22VFmdh-eFqJWgSTggrTFXay0wMpPWTOcWYMyqqTiXTFlFBvBwiCIF5m6zmIm90SMTsgVjRM4ukDlokOHtE5RrXAHuOD7YUZOx8A6hqhAz3w0gwFb2M5eHmRfwcrDa7WkkbALTCxEjUNltSOf9RAusiRLiMXO4Uq4cNGmfgSqjXRFpnKIu1l5VxNVYQPANkjWKNfGYlVm-mDjfN0MLcGdhtCsNUY8EXCpppkDhRFGyDYfdanQ55gS7C0IixjHuudoD3w42HhcxwfLbhdPhAczTGk9ubrNaTcbScgbqBWkEgZCYHLiywsYWg2NwVqMlPcT7bqUNSOkjyrBppEkwLScrpKNDmyRNgN05DqbdWe6-UkDmA2DlbtgjU7CHSVx5XRJ5IMm0rFE2yHTss-i9MyI3yumYGeQ2wss3oK1uqCTPuk7FGu02mYW50Fc1pi8HcFYtHMdeBst8aCH3kwPhbZzvSVnd0beFKlFsYMn3V1nszgJgWhVEw4TEA8qL8KXgi9hK530EggAFb-Losi8p8T0SbQqAJBBmAriG7RBMEpipuMjwsXtfEnaabS521xZWf2ev8v_AK1_qx9Xqn9BSbqpTcnZeb-Tlb1HXjMfE_qNeKehskxssSXFYDVew6e6y3OI_GAaC4jEflf0d8Q6YBGmEQn0nP8Asijq1U7GCdhZGhD9JiPlXWFXE6G_uJTRF8h0EbSAEwMQDpcJmJss4oAgG9jlUx22qERzjpZYSc-VkSdUNOHSZNzKZqXxSm_U1onJk3UzCLtBeCAId-EaaKbg2mQ8D-VrVxeiA0OMBvsitFKNTvNwsilMAERLSRMLUSqTDp09xP2Uqr0xrJJJgYndXErVTqaoGkWP3Skc57qLpD7SpiVSBgxPlXDxF50kuJAbxCpO06r9Y0tFokXUrVZHjQWyTP8AKiGadwY-VDWaqXAWuTiMqqnqkE_cnlRNxcxAJ7XHwrqaQTrBvqJ-yFXDQ2nIMtOY2Sot04NNpLXB7trYUkaZf1o1HUHAd25HCxy9N6fDdd0xplwgHeYz4KJxeeW6aosC0mInCfdaqtKGvnT9lB6FFgqkwdLWzlNL1Ho9Ez0wRqJJ2G63xZb6cyZHxusW9jdTZqZcRexTTTOfJLdI-y1DdPbTqO-0QpLPyGau4Euw0zwpygwVyS1wIBjyrJ0R5_UiWF0W48o3Hk1tTQZbDjuFZ20k1oDJAErnfRB4AIPzCu6w0UXAjZYosxoaABJvsFnFjYzpiKYdfUMgK41FQ6CWxkYUbRLABpaCRm-yiGou0wDuYQ6b6cEhwaIButRK09HXaHDGjCu6y3ddRHU9I0x3TsNllrHi6XMcA0ao5KwsV0SedyOFYJ1To2BVoWmdDmuAgHICyPU6QyQTLgOd0VtAP1AaQNlZ4i1NwcGgSD7wro9Ki2AL3POyLGug0VCNIHacgqix0taHOxiPKuDK15nYzaOFEWpi0uAsMnKqkqtaCXCfHusaJ0w4XJJG4BS3YutFKC5lwSNuUa1YE653OZ_CYn-m0Eu1hocYuAEbmFqO10D295tdc7NbU6emDTgNktuVjKifWBo9NgGbmBhQSA00wdYmLhRr1Fg7o06v-45WW-MBtHU8uDRBtladDhpYAWM1YMlEUIc7UXHTGTCla6rB1Ba15vEbrlTMZnVO0NJD8mVyxlndUc6LCRxwpiJFxgmwGZTGsGm_UIs6dis1r4LzfuaRNheyyL0Hl1hfysjS1osWnuH4UajokOG_uqlU6dxBE2aP5W4PY6Z0kNmC_wALTD0qTiDOkuGI4W52jurYQA5sad7pY6S68ytTlxvABsIXNpnc0NJO-ZWMJDMksbLRJ3hVoHOl3HgIEI0mRZAzSXFotfdBoogEXaPN8omtLBpIIhvB4RqLEgfST4lSl6UY4xLo1LGLpLF8iCVEXk2vMC8owBdNuceEXWvp5OQCTwtRVBBPAP4K2NFNpiHOhwOSVcTWuk-AHEg-ITzxWhr9Rk_BV-hXuJGAYOCpoahUgmO0lXVMHA30ieFioDnj0oxMWTAtN-l9j5usrGpryTIvO-FV0ZBAaWwf5Q1B7S06S0eFmqLiXDBFuVmqy1jpMGSDBhcquFa7vJk8QrLEppFQjUIgJazKkHEjSMSs5-1V6esHuLTczsVqK1TLIIJH8LZhXGAQ2_4UaxmqN7hJkjwsNJwRFiJUoVpcACTbgbJ6LU36pMk2i4TxK0sBYB_Y5WmWlrhrkC_PCStPa6WC1pIkn8qs-LVjrgtAO8bKqx1XkFzhfkIjO9ziQI7YWVNTgd2kfKqRaztwByEsTQc7VAN4EgEpOlVpiADpEqqPqnVGo2x4RK4y5pMyBf3RlF5l4ECDb2UaiDwXAXPibLNUgJ1gT2xcjKz8F6YJOInY7rS4q5s6RABOQNkUaINwSbY4Rk1cSILiQsWCIs6IDhk2WW5qwYdWDFr5CNLUgQBtefdHSWY1McZl1jhc-UZpnuiZuR-VlllqElwkkTeQtwSqkP3mEGaoHOwPhBF7JM6byiYDT2QBAPjlWlcx2lmn6gFEGrUcG2-y1IrC6ppqTAjNlWbRmIIMF2x2CiaYOLZwDglMTad7rCTINrbqH0pgPA291G2hgGnuIA2EIHZUcWxePdXGgc8tcZOdk8DasQTIRDAuOmBcnCuNNH0ybN8KSILY09sX23VD3LRIm0pV_srX92YEWss6i9Oq_tkSkG2mdLQSLDjdNHpdNU9QhowBiV0xqNDHkHAjhWwvbRTcC4kjTtBSbVvTXTN2m_idvClSqmpJ0_E8FYXiS7XC5HMJLWh19okwZxlQnRA4NAGZWWpUiJILrgn7qOnwH9wk5OAFztJ2eiIHiVF8adYMgTnnCK1UbNmZ9lNGmm5wFge7MlSxv2CDoeJGVKk6rVSJbFt1m1vV2yGXGdlKp2jVvGyQG1MHiZJWhVpt9IHKiUQwzjdW9RzB5LTGmbyrHQ7HFjdUmTKK41WlsgjlZvY7WXGdIJWcFvU0-52Wg4cdQNwgYN1bXj7q5ABYRi-EsDtcHSYwqKMeSJB8LPtDOfDBe_kq1EjUJk7LPhicxa5UVUAaQJgC6BXOgg6bFBnL9RlNDloAaOBfytCdZxmQO3coEc-AsDM6oZgCAtShCSHmCWzwsijW6yJE23VDj3iLCN1qQWpkGBiMrpxLFA2Mkn4yt655TMBDScDwmAOJAvnYhT6pANRhwnyVdXFNM2weChiNRpDxBkrnVcGQyAD7KA0mwIFwP5RMaKf0efK3GjemZB8bozYFQEYupVwAA5sgymqWo3USNoyqmlpwJhxmchWUxQOvJl02TUgtp3wQeYWapXksH0ztKl8VKCCXGx4WZR2qBJtKe0XZUBJkzyURqpvlrSLrcZq0wLiJK6TGHTfHysrEz9U7-6i0GmCZKzUMXAC2PZUxGqNUu3UvQ6nII2nlPOxWO4iBbC0jgSDeSFgcwgmxssgVAA7MtWlRDdMgGCDIKy3Ysx0GP5Wo5r6i1h5W52pKjxecnZZoQSOY8FZXVGW7plaZamCL4GSkGim4WBBE7rS4sG9oESD-EijkxEHlL4yZreDKTxLTAFxPhN7Q7WXxZXQQIbn4WaKsB5vxC1BzyIv9oWtuDPMnfwuYR7CTOeFkGYYLQVrAJGYKjQPcIi8wgXSCroI-rmym6phfZWXGBwDaZ5WgzGyZhWDRSIaZOV04wWLnHz7q3sMypJiQBuOFnQtRxA1Bs25U0R1EkE3MQs0I8TH91mgMaD7qwWYYvNwqFcS48rK45pIA88rUQ7gImcqW4Jz3Ai4UvYYCCIt5VDOBI1TjZbngIbILoyFpytIQWskkzKgGvtJNjsr8MTMtM2v5U9INw0YKnima8nNyTKu6Yc4kCOVV5F1gWIvKusOJJk5WdUD2mPqclq4MQDJJ8JLiPM_WupFDoqridIAtKnO_GuL_ABb9R6gO6iq702uc5xnVsvFjpXj9RTa5z9JMCxhbisT62h5BcPkrW1NfjNtSXN2B2X9KfD4LnaHNJzGCs43hWyRJ_KhhmwXiSCEVVoY2AO4nCMGHcBa4-yuAPpFxBNmjcLUEZcNyHYgYWarg20ZPBTDQMszncSmIF6kiZB2nZYoR72gHgC9kg5jQWw2WgiYQbqQ0mLkosaKcHt-8pjSuuZAF_bCCtMFzAcWkK4L0yC0TMzkJgcPcXaYBE8XT0Xol2hwgHwqlaabNDhaJweFYilUNNLXpJzI5KuQNSZ_ltLjB3upQtWkHGRPIJUMxnqdkHeIJ5QZKvebSdxfCwiTdRJkooVG6b4I4VGd7i87XuQQgpTqO0FpuSbIG1f5lomEFWEtYWTJNjZErVSIaA1kNdJklbkNiX6wS6izH05G5XPnOjZj4_rqJc7Ub8hcW3j16f-ZqiW3wtaySm8ACJEnCWEb-mqtBEy5sqtXx6tOqWNBMAbcrXHpjW6lVkNOePJXO-jY3uvExsCtZiwXN0Oab5lWWM_VD_miQb4iE6i3pCtpIJBBjkK6PPqvBcXEW4hVfryur6kQWxHwufL9NsL3teCADMZSdGoOGu2wtAylisbwfU0gEyoi3T0yHwTdL4R6nSgnLZ8CwWFaKr_QBFyZkyhqTHtcS6YMbJfCXDHtgmTIwbrJaDX6HRMg4B5UZafXLQBDb5CoNCrqdpLYEmwCRXsdHXHpFrxLQFcdNed1DTQfeNErGJpqTTq7QLmfhPqwH0yHFxIiVapWtkTOVlG3o4DbgK_BvpuaWxJHiUlwaKQJdpmYjKvo2gCsYBPE-UGnpvrDhLWgrUGmvek1xtdVKyufAkNxuFllRle0ySfZGy1KpBzcizVj6JkuBdaHWwn1qRajUDLagXbFWwaqTiG5BAvZNO1mNF5OkEXEp9dOPKqaJY2PpN7IupuqGkXGwMTC5WqhUqAtBgAnJi8rFGX1y52ZGFGonU6iHNIdM4BCyHa6xkmSYMGxCadtLWB1IvFgBY-Ek07Zq9U1hAJZI5yl6GZ4OkNmSBMlc66S9JFoJuCBErnWmarUawzENwolZg-2m8ngI6zwwrRLTc8xhZsXDNZqMO_B2WZ0y0sYGvmwBspcGqmQQARolZv8AQOgWnfBUDU3anAQBBmOVviPS6YwJbNjc8rpGa9NlTQWvku2K1qKVSTSloaPCVZ1XnVdWqJILr_C546RkLbG8g_6istaFIlhN-3EAIpoJMkiyAOaS4CQgZrhqMG0bqeilN0O2APKqY0B7XDMooy5oF97rNF2VNVgTMxdEVDdWItfUFhThhkkxGyMiNQgEiPZXBroVGkARaYsrOkaacabRpO4sqGZ9V4I8WWlWpO7pj7LUGqm-bRLQfsnzGhcQYaSXbhTAgcJdH23Cgo0iZgieUBc8EREGMDdBN7wSNMWypmClKsBFrRhazYLNc51yLZELADj6gAkje6zWoQnSwtBPuo0zVGaSC4niVy5X9HpWvBdGBkrMhijqkgRc5stYiLiACdVgdlRSiDTBcAAZS2QWDyXeOE0MdThgAcqxoh7tU4G6zel3EdIaLyQMLC-9uiQ60KxNdTB9SZLQLcKr62MePTkjG6syHTT0omdREHBByom49HpHHUbAH3WvEvbXUdDpza6az4g-1SZH04VXWWoS4iLmVFn9mawl1xEcG6Jv6aW3bvO5TUSeBIGBdF09MteNxvIUXTPPbPNlpHUzDOHeFNMI--q0yclNNReJI5PnCy0QPDSYiTlZvYo2p27RgLTSzHBx-FdYWbEh0kj2UP8AXOqh7hNxGQlb1FxIdLRHsuTUWpEOaAThFXbBhpz-EFG_ULd0rAoXAg6r3SjO6AIFv5VgjUnFvhQZ3vGmM-eFSoBxaQ6BqUwSfV0uncwiUYk6rxmysQzhYAGJHOVpfGCp2vgi98hHE1N4c0H4IJyhpnw4nBHhDQae2Wg_KEEAXtIO0xCjrarTIJMYB3uUkxJV2du4HjlVsX1GvzLfIKImydRbnypietVPubmAqsNTOomw9zlFHWQBad7qJhjUM_2SqDjBYd8chQVpOMhpAgCISQnbdTcdETbaFMwel0ZDBIFzvK6ztdaDUBmMTurb8Reg6ZvAF5WhsZpdFySNpWKtUDiJvg7WXNriUvJkySBvKsadvYXt7LOhXOh4AiRmUoR1UC0CCpi70R1UaIm4XOunFSnVBbAPdws4qrK0vzLRlGo3U6l-3AvKlFxWF8AkcXWbRSlUa1zWkzN5KXpuNlMzEkERK5-tqtfcX34ypRYRILrrUS3HOiPqAuoTuGY75BKpVNUEg2O10vbMI9xBmDPlJ0sFgcYMkey00MjVws2ijWBpaRc-VQwOu0XCxRdok2gwtyDml2JuFfALyIHcs0GC11s5NlJ2KMBcSZ-wVFC-c7DdXRmqu0tMzzAWcApOIJvHCmBg8mys6BqEwYAKtEdOoybN2WYU5J0G2FuCVR9ptB_hJRGoC4CwWBFrTJJv4QPUY4gk2MbbpgDXlgDTdxEhA7X6iASScQtSi1I6YkAzmVuXF1aQQIkrSCO_Y-JWpWbCvlo8rJIQEgzYhFWbUBBMKxNTqX2B-FLGoDDpIFyJwVMXBeQxoABPwlqKUHyNkg0ZHddaS3AcCW2MQoROQ1p8yICzFLbTO43W2aQEy5wgCFlmna5zWiPqWllMHXtJHuo2WqbgwfjCCALnO1DlYDQ4H_wp4HFhGqJQb6JAZE3C3x7c-VVDdQ0kyTcKsa5_06RYphqTxibou6FznO0qWtTpx1AC_usLspHmPlZukxzDIIJwFrSqsxmfZa1gXEGfOyg4SNh7KYFf3C0RulVKYNhIWfrempHSN4WmemkF0zgeVvxALe7xus0cGgqag0yfhBsa2WjuutRVaQLCN_dX_FW1ACBfZTalESTB2zCvqLNb23n4WvjNK1wjhYDtq2thUEGIkfZUP6hBMGSn0BxkXN1b0JE25XMBpAHsrAY1YEhIFedF4IUqwghxnlFEjaO7lDS6tIMC6gImZvKqU-mQTkrSCySBC3J0NLBEclbnQsGgtzhTsAEh0GIKm4CRLYuRiVBFzdAELNEiC6ZMj-EB06RAwUlwOHAgWuMFXVxzXaYLjErKCXh2B7wgQiHeApQSdIH8LIdpIBhdIK3IECF2_pHatO-bXVc0Huv4WKsiWcA_KzrVhoJ4stxzohoNrn3WeVb8jpa19klZ1UwRYwFoRqNuTPlAzXdvJKzWigEkgFMTVHDS0k3gSrIj_Ov6_wD6gd6Y6amZnIXn_ku124zp_mlXqw583E3K4yYYz-uahLjZu4C1FY67S98hgcOSt4mPxowAkE4X9KfEKECoSDJO0hZ1rRbDfYKKG4LcogttpGnSd7rWJirbuzsk6HVjAGCOE9RMEuJAbY8puKPJcL-VlGfkn3PlDSio7UDYT42RYlrNSoLxAjCgtTJeWmYEQeUqNVOoXmxBPlQamEimQCJWhopv0tAudjIRrTh4LZIkD7oempvIEgGNiiY0NrhrO4EuEmyA06rtbhFpsi43MqNDIvO4VxFGVAGHVNsJUsl9O2H6YF8m6Qz9KVXaW9sA7BKqNdocyIGs2UR51SjpqAZPKyqTjp_sEXCVSCQdzvKiMjiXF0G2CjO94swagHCZiLI6CwEucTI_aAVUrS1-lsTbwVpIelTdUqN0W5JKus53pf1Wn2tAdoLVm99FnkeH1XTWLRBdknZc7HR871dLS94BhuVMZYmA6oJg5KVFtZY-znac2TinKvQ6d5dUaJkROVtz43vHs9O6dInPGyldXp0P8xo0iDuSpb03FyxsATY_ys4ghunuIJ4hSxlj6uWbBsG63xWMHUMJa7E8laaeJ1re4MmOAud3e2WV4Om5uDeFNEalQUoc3exWvmtXpB7y-BMeyzU1Tp6YALgL-6s5RdelQqOdEkAAC0JV9N1ALjIfbNxZIoCCwNBIvMhYqWGqAudIb3RaFhkrXFrHOOQJ-UVSn1A0kkOMoOp1HPdaWjyg3dJViqMwBed_hdfVj1Ou9OpTpucM8Bc6uPOdUewmDI4hQkozqbNp2Urf-lp6A6CM3KyNVMyJHIsg3UmAE6gR8pouyqWskjTfZbg20SX6THbEiFTWkODO29xKMtDTqpyBO1ytTsZ6zv8AMcMe1oWbBSNYDbkjJBUaLcOkSdOdVis6Jl2l0j6SbwbqNaoxodcDSeSiNLRpLZEEm5wl6O12OaNEgadyFr4rTSqlzg3-OFlJ0zdcA94IJLzYDaFyrtKz1wGuvkAfdYVJ7w1liIwbZRpA021B2m4Nr4UxFmN_zGtBLQL3wUw1obGgiQRMQCqqbqDO4T2gzbZYqIPm4E4ycKY1GKo4ueXOJI_hY5OrK9kEgxJxdcxIU9JfJvFkdIUC8gnz5U9aaaLg9oaYaTyudiYo5oL4-YBWpBdtXS1oNyMbrKeudVL83UkmkNRcWCJkmwldPB6dCqNAgcKxhtoPLnGDAxKqNgrQ0E8WC36sYeoIFQlsidysV0Yq0NBh0k5AC5eJogkEXs0bJuroh0CQJjCmrpC688hX1dM2SQTbYnlTFWAETEcFICwkkktsbiFRQPLhm8wJUwUY4iCDJm6pja13b2kSFlBZVP2EzCxi2Fc8Q0g5zJWkxq6YW3IJtGERtpiWxM-FqEVN2iAJiZKoo1xkNBgwrBelgSYvhVdPaxOxRQtDlkc-4aQZIVHAktIDpMTbYKCRqNcAS0kf3UwMypkzM5hIt6XFQAAAkyNkqHn4OFMUoG5M-CVnG8RfpuJneQudiyIab5APlSB2AggtI-y1fCuDQ2CLibzlJ4yIAN7klSwUY9x0kgAjcrNyLFIk3Mg8K-NekI0CCY4lSrEnPnIvyFIUrXBo5v8AKIcQRMkgZBRfFWkNuDbghIla6VWx7bC4hVHp0HDtIJ90TWg1ALSXEqxE3P0xMAfymib3A3DQCceECsqF0ajcWuEXF5ltzABsFKYmXl0wJByE0xSg0sOwHChVH1JMARN5V1EWNOqxsBdSrpnN_wAuL6husoyVO18XnkLTQhog27jujaoaWxcHaJUlnwWpNGqOdzsrouYbFtJPKrLPqAO8QMWCzUyleDckwBssVuKsuRcHhZ1tqpxAMECeMJRZsB3cdTgVIH7pMCx3VvYy1SCSASPhYEXOnfSAt_FkQqN0scZMcgKFZ3POk2-yRlE6S6Lk7phQ1spQD9M4lWRNGq9zGGN8RlVjldYnvLjnaJRgW3iAbBAxIabGfCq51p2vLoaQLLJ4dwDQ8gflIW66kSCS06kWXF2vE48gzMI3-Ser_MxB8Ba-N-npPBcZuPKiK03kxDo5BVU7qmpoiCPCCoqtdTuM3UA1a3AuyApUGm-BiIO6yi4cJEmDiFqNNNJ7hEHNiYS9j0KD4gDtEfda49DRSqubBtMzddC9tlB2qwII28INkgRe-_hZI71A4giJ9lzocmxk6ZzCmNSVEP0yBJ2yo3s0HGD8TKpexYOIdOAok6SeTII-ZWK6SqUyIvud91ltYPkmLu4OFnFlaqbnOgkQBayitLbgybIGa7Ti444WbWpW7pnFzc22suf1uVqYbgErVmKsztdEgpEc43j-yzSTBaRE8K8VMJcSbR5UoIIdM_CRLcH6G5IWqmiwhwKljSrmkFpOClDUmkvzG4WZBZzcT3bWWxzSGOAxtKoLjkm55CyEYS4TeQeUkFmug5gcLWAOOqbw7ys0QqO1ETaLGUA7sTB8KigJIh1jypex2sBoF5g3VEA4k-35QO1xarArnDgkrIzVSb6TIU5QKxjacEXODdXwObGTMDCtgSrTIda9srFBB9PH1eygq0iQYzmFuejSxk2x-F00Ue0s88XWpcC1A18XJ5Caz2gGQ86reFFXa0HF1YUS3JNgdt0JSBkDIJyoul1S4nZYotSIbiElGgCBEySLcLpEs0CSW8rNIzFt7SSsy9mi4XtcLUJUiSP9kxm9qtIgcgXW5-jDGD9ION0q_C1HiwuGhYrH0jWiM_dc29MCItCuNFa4l-3sojbQO35W-PTnWkENBG4wVtjAc4B0zN4hAt3OyAFGoTQ0kyDPKKUui0ysIRzrZyUWRze21neUxa0YAtZVlw7GSYmUDCxk8ouFqwRZPhJqDqZ1QBjcLOdr_SrDpA1YV-4yfUWmBid1sMxxIIOSs-AtggWyUFG0-7woNVIFkTHsrotT5NyrKum0zg2nla6B-gTF5SVVdctMyE-s4RlzBWYKi1jEqph2wRwE1HAgEcTwgLhIMZK6CWkAxcHlZsnwCJJvHnZYwMHDEbbKidQ3IUoDW2mVB1iCQMbqa1DBpLY5WsDFuRKfEoBsHFzxwkQ7GAXF5XQaGETG8qxFQdV2jwQtK5rJl2fCmaDpiZsP7qYIPsRyExCtFgpVLUEOvhZ0K0ycwsroVH9oMSqYVlQxBt5CJh2Olp4WaGDrqwNTJLpJkLcFw8QSBkRK7QTqA2go5VEyfabrnyrUK4gi1vCRsGHJN1qMWCTpcSN1mrejtaSIn3SMCWltsDhUcTfuiFN_a4m4GLYU1OPhg2wI5utS9A1YNN4EyBIury86J6_xP-qRUP6p1D3yXaovwvz5tt16rmdPnK9GCdW-I4WnP1kLNIIAtyVY0zim-pcTHuuiPxqGwBk-V_SXw6rBpBMl0rOAOAcN_sla0hsBJtzwinEcg-yayYABuq448qBZLy4iJF5K1L8XBcWuERclMZJUeNcCdPhTBJ74hsyJsIUSTAc76iRBEXiyNAA02cbHdQh6VMPmw4kBTBqZ2UgPj3US3GlkSGj-LrUVYOmAJJn7K9Ir3OJAkEWNkWKio1rQDJBAsBui2g9rv9XuY_CHrT0_ZTPdc3uMIrSx7SzyRcqxn3SPqkkuF90oah1Bc4OF7SVBtefUYTEHwEQoIGx1Rg8orDWqGCDYzlZX-mWqWyDqMg4O6HiDnhjZtfZRPUWgB4JMH6pPCphi-LgmPARdVFVrgHOif4SKs0DWBIDTgEflaZ8bGs0iLDg8q4rL1bTVaXOEnVELNP8AXn1WsZTcSREWlYtxXy_6pW0VLt0mclc0rAHEEuuPICMrghxDXEXwQtcWOTV01PTUaBxdy3sviSXde50o0lhAkHMKXt1etTAFO2M22XL-l0zWgE7jaVrRUNlovp8KdsslWkHBwdeV1nbUZn0iW6ZHCGvA66kRXcdJDYiCuWaza84u79rjhMaxDqD2kTJFoVazWZ0yHWiL-FLGbF2uLGENMk5PCzGWvpqhEGJtEhbs2Okai_WAHWbOFitH06oAbHEIGAdTa7uFtvCxUxF1QgueIuLAIibHE3M3RFGvIhuRMoPS6Uts7S6TlWVXqCl6zXCXNMWCY0wQ9tQg28xlS9I71Qx41AgfynqJT6tYOGdisSOmtAfNMSYfOIwivQpPDgCe4zGEGljb6pnkIVtov0kwCR4V1jKc1Jpi5jEhUbKJLWgmDGYWoJPLS-XGx8_yqKCJEMtmRhRoHgPBMWGxKzgmQDpiMXCYpydIETphY0Va71tM3ER_ur2utFPSGAG17gjKuprXpFJuq4jBURmfULnEau7a11zrtIj1dTUZkOdgxkeVhplqu1U9EaSDYSoFpSRJc0ReAgvSbADm6TP1DKC1JuoiGiMkIpqtEAFpsXXDtlKPNrUiHSBLQsms7jpbEjNwTlY5R0lZuoc1zh2zBjiflYxvplrVJrBuIwFluGFSNQy3chYXTaewlsgHZKq7HYJEGYk7JLp6rRcAJJtOwUov9ckmwWO4mkFnQ2dJGcrRXpdI0seBaCLwt7rm9Cm5pFiHXwFuQaqFQuALmidpXSNQnU0R3HZY5Nx54fo1CIcLQRlcrDEyBUcReMQVj-mSjWTs0Ysp4CWWOwV1rXagTANitf0un1zYi0ZUaUH0w117XQMwlz-2LfhBoY_Q4Hfyg1061tJABI2CmK6xHaTA2KSYoHIJ-lRmtvTmYtqjg7plYvbXSqFrhcmBvaVqdK00y13Nvyi4drRpH7t54V8uIem4EcXvIQPMWMZmUXSvfBwQR-5aUo1VQRN1mhS5zrAAOGT4SBXFpxI3BKngV9QkCYtvhVWmg51QC8QpKipmYkfKqyAQAJONhvKzjcRqS2CeLLlY1qOo_wB1mdBqkFgAmTwmdpQxxqzCtZWDtLu7IwG4WdDlw08EjC1mrOwY6YgSAmKUkkGXfBWPGtK6oHG1hGwRALAQINypQwGneboirTLzBnwp_StNOYjfI5Wj2vR6Z-D9LhyjDY2oC234VEarnG0YFyoIvlukR8Jq4LXGS4xO8Jp4ux2psC_hVQILQJkNOxGFFUaQ0EiHSs6yOoRORwtIDqgaBeAeFAjqszJLifCmCNQEkgy3myqwhJECEb1UHS2wBJ4WfGlWPLYixHGCtTtmXVdbSIaZO6s69ZxN7JJEybWClNKHw0yO4GL4XOtwaLNN3HV5WG21rwGxc2u4LQLXGTcfKziLCo5sDbyU1pF9QGxBNlmbEQwSJscFb1UaomRaPeyUrFWbLtM44wfdTxEie8c7wrKA12pwvbiFXK-g52oxN5iRsrUrNUMbSfCiA1-luoWnKGH1TdohDeha4VLzB3KsDNcQ7_VPKgZri54vjgKqqwkMtg3woCbgEfUVp0n6TZqJBJJyVlV21rjckcLWKJfALbgC5jKsmpdWpFrgYsBgEIC9wLx2i-4Kxg59SXgXA8hQUpwDc3m0Kq106jnDULEbLWD0enqDSBMuGQnGC0uIwZBW7Rq6R5aBDhcwVN6HoNqa5iLn7pYToQ8sIiMXJ3WM0NWrQydoupXSM7KonfMSFMW9diKhaQOTuoHYRc2B8K0TqAsE3b8LnVM0gCd8QsR0ilNwIgm43C1VaadX0pmZhc1jR07y-5HwVLZFbKYgH6T5WbNmtzMOyrDxlZ8I3dM8uI8C87peXTbW14F3KJAfINjnhZVzRAiZCoNRumDn2S4Oa7tv-EgoSKgyfZbrNUpN5CzVXnaxA_lX4QrAASYEeSpuKZr7ng2EJuikyLDeLqwI9xsORchYuRccwuJIBWpdRoaDHcIhWUE3bDhE_ZSDLUp63ZuOVmhWkgQXEmLKhmu0kwJnMrUDHDgLeIVv9CLjB5IWZQQ8OZbPKShCHZj5CmiUloiWgR8qW6BTEE5AImSrBxsSQ6dlQKhvf7KULxnOVBRpAdAyUGylUOIvMSV0gpUMtBjGCtiZMXm_ARKRolwMwfKJFxAjlWJejzIJNz_KLAIN5gjMKVpF4DLrnQWMLjOAkStVMB21uFuJaWq8tJAF0TdQM6tvgrCH_bJzstxEXyZgKtwzWlvc77Iqmm03lExMjHG6lYoBxNo-Fi9HpQchwsrG4LJ3Ijws31pqouJcOIN1uM8l2y4xMHnZbc_FJAaQTqAuogQGix-yKV7-LHylCi98lYtWA4ajkIToBT-QqW6qCQ0gniER2rUBeAeLoGa9rQDaSkHVHFwzfKW6u4Vpm0RvCka_s2iTq5T6wPcHXv7LYIdDgDeFkOIeAcDElA9MH92BuoNTBKoqDpmMoHbVN8fZFwBUkH2yh4LZJByAtgtEvEiYvlSTe0XgZ29lrE0Q6xOE8TTQTF7HdBxdDMZF1URcS4xBhZxXMJFsEKAVLSd4VbkREkzN1gqjbm_siC4SOD_ZTEOG2F4utRDFhJtBVDNbBEIHAANhkrWilOnc3jyt8YHaJcPF0noq4xIEn2XTAj4DowFn6Jvtm6lRGO6RaeVz7UHCRG4UCtBtIBg4U_wB5yOFPfGkyRsbFNUzWwYmyjNOHSJIJM7JEO24JK1BX9mSF2-Dg4AAxdXXKoOGokXucLFbhZAjdWWY0Am5wPJRi3sTGPurn7S9qMiL5G6uJhg6QZOPCxL-zwHWgi6t8X0jnkHELHSyYDa2l2AbZCsas1xOsxNvbddNY8fD_wBff063qunPWUmQ5t3j4Xk58LLrrx_T_MOqaAxoaC488LnpmMFZzSdJlpJi61is2nTZuqPCrOvxs10aQTI9rL-lx8ScOnF42WhJtQttFwmaC4as72EqYuiSWgQANljEMysXfUBGJBwmK4uZIAbI8FXDQE6HdpF8-FNOiOa4WB1GIkJq4lotdtxuoguOYOFFKfqw73TU71pojQwXEylT-lRL_ptBsVkzWjX6Yaclu45Viq0na3bg591pFmvc3c2yi0Q_UwhsgzKYsUptJdqOOPKyrTT0tdc6wdzsgWpWb6mmW-eCrEx2p5JAGmLASqi1OlcwQDwEI1MJJDSTcoK1nFrBDgZMTwr8VicwVGjVY8FYRCtQ0XmQNhsorA8kugi4x5Vxmdpky_6bjAOVcXxRpLc2BCgajcG2dicJF1ak8hwdIjhaR6XT1jVDWuAIm0oqj6Ze1-8Gyl8ZeP1VANa7VBGmzeFy5K-V_VOnNSrnzC56PJYAyQLjhaFqMBzS4TO3C12l7et0ugsDw36t1Ppem_p6kVIgQRhb_wAV6dGtADQ0hp2my5I16WknBbaxUBMd207StXwZupJIAA7RmN1vjelZ3jRTNr5S2JvTxerIe_ZxybrmPNqtDXCwngqukY-qZd8NmRMjZb3DWVgIJcDMxMpezDMaWn6Tc3UyJY2tfERYDYINNPuaTmdiudbjb0zdTdR2wFmtBUIfrbY-eFkYasNBESQMcKuRKPUYAOg7GUDvJ9TImMqDV03Uv1yTBNoVHt9DVe4MuQR-VppTr-n_AMzWO4bBFY6oDvqaAfJWaiJaG6RGn_uBUTWlhD7EgHYjdLGpdaumcdRb-cLLbXRlgIuLSLKzxWuk4FuokgxhMqVsoiGRp233VD0mG5cL-TZbSwDDe0hZrJ2kNgkyONgo0hW6gEiMjyqogF891ztC0wcvBEk6gFlpbpngW2UXO16cS0h0HgrOajaz_NcDciIzK1jWJ16LZ-psxEBcOUzx2jG-nD5JmDAndZC1tNUtdpDTud1BM0qYpSQGzug6k8aIaQ2Bvug0g3ADoMXCCtRpfpOkw1FnbH1bg1rtIgnI4WR5NW7i4mRgyFmtSs1etLQAd5hcq6xmLm37b8HdZx0w7qWtrSW9o2CzaKNBi9gMApIsVcDMhsiJyln6KvTf6dNgmXG0FY7p6IqFwEjFzOFcxMWpu0wWiGnzmVaN_S1O8NiSBtlOMYr0GNDIMz3RZdNRei8TGnfc_lanaweq-gON3BZrceY-dTJImbSs2NEeSTAEy65C5MGIA06ReMHdQcTbBHjdFhQ2fpEk7q7WjESB3RspqympGX5EArRrTSYATOJwEDawHGXAWgA7Iat041iYh3-olGlC6ZscIKSCwWMEfZTEX6Z5aXNaDfykG0ONQiHBvFldg0McGsJmCLAKmnD5HFp90-pgtcC4nV7grRhnOLja3zhEc98tNrkwVmRXU2w3NzstKlUDtRJkwLFZ6gQVQWN5yAVB0jeDugtQfBn8oNJrahdwH9kWDJJg2HhF0lQtc0jFvqCzWox6fgclct_bS7HaG6bCR-5a9ZpWvF3YERASxBB7NmyYC552YrkjVFrLpIsU0teAAJzBAV8aI_lsja-6508RNQnb4K5jqL4dIF2qi4qHSCcYRNdTIDy6bxjlRVg_Q64PGVoeh0jyWnbSCL7ow1CpA0wQI5urJ0A8kv2Ii6l6CySb7YkKLrmWJBxmERYAB8xJ_hF0XiXGTbymmiJaGuBsPwrMRUP1bi_hPBKqLiTYFAmkAu0kSVFB_AzM5WoJafqOneFixqduGTAAU9XWim6WhpAlJEnR29mwF1sLLps4Ak3hTF9Gm0OENu8W_wCVmtQSJ0iSJMErDSrTgMN73Uooy7RIupBYAmBlXAp0gmbHGVKJVaY0y0T8qDLUnSYIC18GWqDB1OgFT1nUXNABIv7K4aSmQ2sJiwuFWKnXcQ6APKIzHtc0QRvMqxccx4LTefJwmLnR2EmIgjlRmdBfS33W8aqjILInBwpJrPqzI16oEAbJlXMca-lm5_spegnqFvJIsIW7GpVWvhl7EC5WdXTawNJJAgcqzs_IfXFwBJGDyribqjHAwAROwPKmYuua4k2M8hTGjU3m0i5zKn4xMaqJLyCZgfhWdK1UnjS3cDlUbaUWwb4CsuDQ-oQ343UsTVelIDJsZWpYrfTseIKWk7Wc6RpEX4usqi43iAfPCl7WUwM2InysltrmRJkAxeN1jCGY6XNOCeNlW3VHkAhwN-d1itYjOmIgiMrDUp6dSQCPqwrrTWwzAcbrKxrpv0svOornnatFF-L6k7iNDWgklGpy1t6cabzqm5vYLnHT40iacnNpEqs_lIq18zt5WWgmA683STQdUkfkK3oBrSSSDfhPFWptInULq7oo2ZgHt2O6odzYaJE-d1LPrMTa4ng-CpWlGGS0QQAkFg6LX5WhMNE6b-6z_Sw1EaXcQrErWXCJnUkiJPdAE77FaEy4yZycSsWdqRwNWwERuCrRziGgA39lIODnE40mN1oTq1DLri35UuCIdAM2M2UzfA2twaZkAjZTBMg6hbVv5Cgchsjxut_4KNbYECDwgnUZO9_yrRIscWcSVn_Q9NpAEXMwoNTAYAMcrpPBR2MSFqBGtEkxnZVL2Yt3GCIhahTNkjMgKM-iACTNzChuOe6XbuMbqNue0WBvZQdTgA2yiK2a4AlIxam_uJmBuqsnYFowDc7LJZ2MaczmBK1F_GOLBqkgwquY5wBO3siubIbEke6AOMmJHKzaxmpPkvJj5UvayDEsEtIA_KLgspw4nSTuitNPU0nJGwVc7dVsLgRyrrKn1GcgqwKfpBLr_wAeVVDSXEGFAheGxxELFiyJudJuJbhTVsWouAbB_C0zhpl1vuiOiGxMlB2oExefZZqdiSYG8lJFEG4G43V-ClMTF5QUdPC1okBqdyDusizQJLYgecKizWtJAmwQWpsh4CdFWDYItdPSF0F2TYqxdxRtMDGITU3XBkDgKxnxQAAGxKSmnBlo2A2V0K-MA_ClopsBZUK4iLjtRCTcmIj7KKR13OI7ZRrHPaXAWvIQlcGQY43KzVFtOdUCOZRFGgul0SMQgbQ0AHlXCw7WwbZVZh9G9pK1EM9hEAbJ2KMbLDkRwtxLoae6ZIm108UwdmOMLp8VzGgifwsnZHjBiBlKIlsk2geVgCoLW4U5CeoDwfK5wRfUDvEZVbkK0nVA-VMStFM2MiVMrJh27QZ-U8BD2kkAGCtTuoq55LZyuk8ZvSRJkSVcZ0smeR7I3ALN4tGylUwDZu2fdWM8o4AiREnnYp2vEWgEfVCQtwDYgTKWxj0XC5cDc7KWzxqdIk9xP43XNpzGarxAV01xJtAsty2sUnXdM3quiqUS2zxBWeU2EuV_h_8AUf6PW_SurrUzTOgHtIH1LxeXK9N77fPdT3G_7bSQusc6xHUYhhIFpmJVZfjX1u5oixzK_pc6fE6q10TaSrqkdUDTPxC3AW1ZaMl2crKSd6BcXkXI4CNC5ha7tP1In-HD9V9N8aViqc1NQBHaRspip1QGhxPaNiN1CszS55Mk6RYwUQzD3ZtECyNNTA1rtnEjhSpSkNbYGfJWUaGDMQDGERRzIjbc-VdUzHhmgtzydlSLCrqDiYbO53VaotxpaYcRJhE8WbVbaXEGN1KmtMlzAW2G8bpGihvdcCwsmi7B9MOnlIlXpNGqNMXkulVlpp6dRce0g2I3VUlYggXNzM8KL6jR0u1g90b7rNqE6hlpkhCPMqBriTOp3lVfEWkamm8i_lEAmBBbi51IaaiSXDAGZ3KitFMaqlmktRPXodNd4sbcbKwaXECoPIy0rXabGXrGNqUiAADj3XOyVfmvluvoFtUiIsbLlmMy_t4FfS2pZsco3vWupmbuEzb2WyVvoVIMHGyzUrbTqtDsAOwfC1JkR6NGo0NIG9xdc6nb0OnqAgECFlWqRAJB91dGQlsGRqDjMcIMfVO0ktJLW88oPL6xkML4gzHuFR5tQAGCIOxKedukZuodEgiCRbSn5LjBp0HccrX5RBZqLrTHKzarZSpgFtxHsqY9FlEamvAtwuf1ZMaC40zDRHAKrRHU9znPAKzYM3UUREkZv5T4xjMwAsd22EBDDlgc8tjtbuhnZ6bYBNnEWRbHrfptV1OWl-kD5VSx6lYuq0CWGQL5TWpHnuaRBEETfyoliROslsm-yM4pRY8C0Tg-ApWprXSqR2gwD-5RptYRETqJwUmxdaunZYgkA-VobNROluoCTdBSmbESMGxTUtTNRxdtx7ImiC5kkiJ8osSfZx_7jnhGXFuhxNzjZXQS9z3AAX4lS-trMqgNyDEYsitdOpq_-QN1hlrouhonnKsuta0Aw2NDSSZDjg_KzY7SsfUsDi46XE8bBc6MdeDjMDtlYAPawN0yM-yDqTDMxIFhKDZ04g3DRFwMoNzdWg2lpMzwiz14_wCoQ2sb7QSFmrXmdRYFoks3KiPM6iHHtIgbrnXo4-MzXOa4kt__AEiVHRoHVxAItGVzvEVpv1C0yIIm6qqF-siCQZiAjO6s0E-nr_bnZSZqxUuiiB82WLOywPVhrSZB4TtLWvpave3YkzKMV7Q1O02tkLXaK0yATYG0zyunEVqP1UxZoG8cLV4tvLrsa9xIvGBiy5rrO0mmRJ7doXOxDipMAe_spiuzBn7LNU8tDTct9tlr_GsTdM8gcqYYLaukaR_9J2iravL5A4CVKoHdoLjEjEZSUla6bS2n_CrajTIkkmLEFAxqXgmwtayDRQkEQJbEThTCtQfoc1wIcALg7FN1yaTLmgCfnAUi6alJ1NIkzkFbb02stJBz5VTQZWkyd7KhtegXBA2KCjHhwBI2_KLqVQk2BiLwClhqDmx43BWNz1NIKsDJklCNFCqD_wDH8o0vrknU0QfhAweWxcRgBAXuin8rNXWYuIda4wueLv7OwS0idRnK1Fl6KXQbXi0FUOKukAAmOCFhVg8VROCtQhhUkaSftZK3CF3ZuJsuZkIxstbwPlZsSmbGmxkTsoizSCDO_KJ470xcgz5T4HBJc0xJO6kVt6Spluq97HdaqVulrvpECMLpPDEidMjEbJiDTqhzfqBBGDsud6DSA8zcxgLIs06g7EeFoNkDSNTSJncKYOkNzA8FLP0O9QF0gzzpGFfoSoQ_ugxlaHAta6WmeSQpewtg6xlx_wBQU8WFqvFNtxedjhTGiGoABDRe8ysioqTAgzkraNGkubqdKiakRpMwIJtByjStN1gT2jYBL2spS5uo6eVzxuVRri10xaIgcrNVVtSYn4ss6NAdpAsQeRdblEzNxgjdCpVrZm0IM9QaiIIE-FPBCvEgECOVJ0iTgBhojkqysoudpkGJ2PKrCLzqaLidwiazm4P-oqxdpACDAaIGRytqPraCTEbRKmEgl2uCDpA4KNC2oWEXyrE1ZhJbcGRkhUvZmuDjBw643WbGRa4OB2i5S7ql9SJaJNscq2RMUDwTpMRGIuFjtAdDXDTjytzVM2oGvElotuqqjXTF8ZhZzG5VWyAALgboutNBwDp1T5Kia1UzIBdHuFV1soPExa_KQ0736wXAkwcGy1dY1fpqgFS8iP2_2TGtenSqhxzpJKjUWc62bp1mNJWvKx4z4SQTMkRwpqiHmxudpKnbpFGOAaSR3RKt8UjqocdIm17rlWtLIeScGfpXOnL-nNIa4QAQPyU9WVsY6-sflVpdrj6gzcfUVirrUx9xpF_5Rpop1S46Tf2KzYN1Ct6d4j33WWtaA9xJkyTg5V6XDsqSfZZw2Caom_3CuYZp3O1NBtf4KzVkxZglsgb5CTtVZjugBbwUaRAgzdZSi9xdkX4C1_pCNbYHfgqKuztF5nKTQHOJAgkFX_Q7mloknKAMk-Qpn6FWTJ22CsiW4c07xM7ypRnfc7nys_FBosTh38p6CGWkqeCbiANXlaEnus6fyp2IzDpB7TvwouLtcb3WkAgkAgqziFkaodAbys0WY3YErUBcBAPcClEHd0CYHCxQ9FpIwf8AbytSDRTbiDfzugdpmxsAVuAhvaSR3cLSb2o1mojEKxL454GDNkqA0ySIicGFm-M0ppEPG6y1LtNUaQ0jHla-Nozoecn3UFdQcLj5IRn8YRziBGVGpMc0Q7H3VTpzsDcEqJsGZxfwt7qy6cR8hFEyAb45VSVDXgxfhc7NIR5METcXTFcypch1wNip4Kh2DgG11RdjZv8ATGFqOdh7CCYCthh_U12lTEDREmASLKhSS6ItCKm90AKWNQGmxkWWVtMSGnY2Q07SSYgtOLKudUP4G6uHwNQkj8qBw8CMRwVlcNY2tK3MrJqUsMGYTBcDUIaY9lBL04IEyJuoLsaJGLqkO28-EFPUBET8qfRoZds6s7oHbT5_KuguAHhPVcHCDexWmb6nrJdEwsyoqXlvgLXQB-sXNinVFSIte-JQIZMqBC65bcyqOAvBBPui6oGzJII9ytVNKGyZi3JWPV09_hMHZM7zFk9qqADdVTNOwWonirO4XHAWsY5XFHTJ8KpxrmmIOAtdN-GcTpsRpT1iQDTJvwFaUswDP3WIeAXgDBPyqeou5O-yy0g88ThY5XRIg6YOcKNGiWxMFSqnLQ4ZUnaVdgBMY8rp-LH3BNxmSs2_prAbLSOd1nVUaZFyusrnYD2mZspWcTuCLkcwrPNWHkneZRsDYX2OFtmmtEgwErPgwZjZE0wBA91mQSc7aflZvpqWglzS7KWrq7S1gzHsFlNpYBdGowFruRQqVC0hobb-U438Uj5n-tv0hn6j-nFzWAPbcFc-fDbrtxr_ABLrh6dS4wSDB3XKTGrHn1enL3kh8T4WnPt-LundrJGoGNyv6XY-KnamuHWN8opC9znQWi94W5We9O06IgC18K9L3ejtENke491Okww1GxGn33UtizFHNljSLEbAZWGsBgIxqDp3RCVKva4xpkxAWRITJdgmwJRcTFdxJLdtoRmWrNeXFoBj28qLdvjTpNy0yMeygc9tSA3u5CCkkPEGT5RDu_d9ohBWnaNWJRs7SHGfEAytRKekNIOoGwieVaitGsCImANwsqdr3Go9wgtO5CnatXTkAjgm6dstlOmD9MEBaFWt0PNgQdpmERmrsc58Wj-yKDuxoiAZzF4WWkqjwQBqJvujLzOpBBGkWByMKw-ohpaSIg8pVNpJa6fqiLmUjLg0NLWk3m7gVGjeoW1JbdFj0-iqOqWd2iPqH8IiwE1SYscldHLlL8d1dGaLNIAJusV0nUeN-qdOSdTmgFc-W1OXT5r9SptpjVGoxdc-9Mea15ZEA22VFvWIYQDvNxhFej0TjUjT9RyFR61CnFUdp0kcpkXHoUXtBaYiFnMMaX1CWiOdlr4YzgGSMyeFjGUq7Gu_bcZHCDy-paXMM_TtKakePU7ie0kjCsbjDVeGiHSTkGcLbaQcX03AxI33XPl0lPQALvaRCx6u_pppkl2BGYhb6JW9uotaAIvIlZ-ttApB40gkEmSqA5v0iOQSpRi6uk5psSTgFZiXxm06SA4kHxuqkuL0HDU5uQc2RrdXBZmLQJELNVp6ekaVWZkZVlHtdLUc06QAWeLKjFUaSQ5okgkeETWcsIlzZBGyzqYtRdpEEaiVndXFWnQLznbAWsNag-TGmNXCprf0pDWgOIByPPhFaHHUGqirnHTpxbhXGb_Qy5oN5-FEdSDoDnC-26NQlVkAucZJwUTGeq8gtg7RZDD9PWNsE_lDF2AahNpyTspGm5sAWv5Us-o006s6Zbg4VzFbBWGmHQ3zkLOt8bjy6rXVXjS-ASZauVdC1aQqaQGXNgYWcAZRc9rW3gJ2LUejcyoxpI1AyRN0wbfSFMDSCIuYVxNXLXwe2GRZ3KYteV1lA6iSDOw5WbB4_VkNaQSbXgbLnYseR1DwXmBqb_AXJ6Z4zkNcSDIaP3bFVqA4em--BjdD609MXCGnjdZsOVxopEB8A3mVhz_tc1NLb3M2CeNS4UV3BxabAIu6vSGpkOJk4lCqUWmmSJBhZYe5RqaWA7eV1kFWuc7PaGiJG60q7e5hIdAOfBW5V1j6j6C2ZcLwQuRrEWOIgG-TGyxemqBEGwiN5yuaKVCQ0AQXm58KeiTnOc6NMx9ityty9HBtcO1HY4V1dI8aiDBbHBys2s2rsMAuHH0rKa0UxpcLxIjlWEaRUDiGkuurroaXsibOHKDmhxhxFpwUGvp363taT2g8_lBra0A3FgLArHbnVRUa-m06oE8ZViK0nkgWEi600fqBqAccrp2oMEsMX3mFcTCFxcHAgwbgzhFOyq7AM-UE6ri_9_CISpVO5uCuXIrOarnaiTY2AFlmEUoCIubbrTWtwfqbER7omhMuBAuE00wqAwTzhX1dUb2gk7-Fm8T0ocGOIA-YWMWbCVWaXYBkTISmuBsATY3lRrRY4yCJi6aSrtLQAdRnghS9twHywwbbibrNi7ibHkOubZusatGe6QO08FGV6QAyDflM71KJZcuJJAMjypaCCSRAICs7NWokB3bflX6j06TmhtzAXVoKzTUaNIgYnhRPqQIYIGRlZqK6zV7t49lgaKZMgGI_7cp0KM7c5wJyEC1Mk6pCq6mI0kNJHPlXe0L3Th2nhMHGq0hwMtG61OIpRd2yIkcqVey12G5sfCwjM0k9rpBJwEba6f8AlzlMGkVA9pc2SDyqyjpLXWAVxdOZAuIsudi1Nv04nhYsNO0ucGuBiRPsjcOx7mOGxG5Uxppa7ib4CoJu25mTYndDxCo-XEQCVKiD2kQ4YxdQiFiRqMCd0VJ7gcTHHK1PEZ3NLiSPsUcazlxE295RfSusJwBhbkWRnd39838q-FE2kg78J6aYGT235QO0AAE44Kko0A6GaoB1LVJ4g-qQHAC03PKxe-kEuNQzjkGy2KSJmYm10xXDUS4DG5TAAckSP7ool0ze-bqsrseAW3kg4WKrQ3vs0wDcFGoo0-mIJjhZSr0K4IItbMC6msy9NlJ0g88rcWLYJDtud1tqZF6byTOScnhIsen0pmm4AyYF4wrZ014s6SGgmDN1yxolWppIbMO3U5f0VnBc6o64g3UZUBLnadIHsjX9qRA4Clq_kBtJv8LFaQe_S6BNjCzjWmpVCHCRMYss4luN9LU5vcYU3Om5etVpmbEqVpppvMgg4CjS9Oo6QTa95QbGPJYJz53WJ1Rqp1dJcCfmUs1uVz6wkAGRIvhPyxzWY4WKvrrPF6boJm8rONLU390QAPCmYKTOxkpaGb9RELKWa0CIkgg88rVp4kSSHQYj5WVUb3Ra8LYoGQ4f6tggZ2BOQEvgNNsSRc8FSUUY8kXAsZstM2AZF4gHhMWeEe0EZMrFUodvMbiUglUdJgGHYMq2CdQ58BQS1i8nNoIVqBYuB1GSstas1vBgLSGm4iP7qibxD7Q4RxhY0UpSefdakDvIIIGRytSYIABrr53WRem0lufblXQwdpaJ-pZDQZEGysFgA9q6xKLWaRj7rWOdUDBadxslXRLQ2ASQeVkI7SDklTIeFf8ASbfMpfG4iQXOg3HKzA5lotcbJWEzOS0eLKSNwQ6HTMx4TsoMPecknlXxz7EPzGcEFWNcTU7gAC45WlUBLtvlVJEn9s_gLONoPJwRErGgQd4PNlfRVlhB2_CDTSfIjPlWJZFO0k7ErVYCfkpBQGQZRHDTIM4yENQqGMwDsjU7RdUMkTMCFi-tYanqgDfOEYsUJP3TcWeHF4k3lbSi82vb2Wb70habpBt28nKy1jSx7YEOPstcYzqjRLiSbcJqHuwGLcIA6dQ0jygoGg3El3CCjZsJhAdF5lBqYNOAPZVPq7AWiYlMUKhI9ziVcE3EhsBTQKQIBm_uspVaZBBn2Wu0hrAGTdGsGZaLyOFUpmguEAj3KiFcy8wqODdQ3kKjtJP1XWg4Iggi3gLAU9uD-EsDtgumfwgeJAM33V_0M1hByi6oywBWpUUkkdt_dEKQQQSLeVr6p23BDojIhXxLRF7Rb3VMIQB7FTC9pvaIPIRnykLLT9vClmxtJ4GBx91y_EhXjS2PZa6kaQeTJx4WPVCm0yCZEHCfWa0SA0hVP7RLyDKy0dpJH8oCx0wR-VZWatMgXXWSM4k5g9yFVwRYWElMAcS6wF1fErgNQjdZ_wAL4s0cm60wJbb-4K0jPUAcBCxWo5moucT-VjDDOeC3P4V8MKCRJIJUv7KBa7VI_JWTih1FH16Tg4HSl8xt_hn9Wfp7el_Wa4iWgkgRyuHjtfHzrqVzEDxK05vxG1rmiY4X9M18Px6i1NxALoUaVB1cSERxMGSLRlRTDTA1Y3Q1TUWBvMJhp_ViAcRYDlZNcZ_cdMiyRENMVHsdn-EUobpa2bwbQZQmpkaME3uPdFkw1N0S0mINwFKrW1wfvA8KEmKt0TBmMyEjPrtcRoiRyFcMXplrgZmDeUqGbVbvg4lGt6BjA59wYtla8ZaC41IiAPdRTtIZaIPIQHVqaTgEosWNeAXNvFigpQ6gubkydsIr0umrNAM2b-SUZoVnft7SMSJsiIOeGgUycfcrNa-IupEE6sm4lQ9Z6lMAGSC43gKp4wVXFz9OIV1Sh4a909xIVQh1NJA-FMaUpvc6rDoBGw4VR6lGsKYtYRMD-VmxXpUnNb6btsrU7ZaIFSkS4XP0kNRfjzet6dtSzgdWAItHKnJmTfXzP6p0elr2uEALlf6V4NTp_SqHeZWTxMsLiJHxmURsouAc0_8A9pRXqdHeJcD4EyttPR6caoE3F8LNmja0kMk8_dTAzSYndZrDD1L3Exce2VFeX1I7LyW8lUzHlV-4AtM_t91VnbzupGJaGjkZXSdNRIEAmG5wVz5LT0zJdMNEzKyy2U3BsEONrWU1Y1DqC1025-Eret1NwLGtYSRkkqNFc-YdBgqWoz1nQSQZ8EYWc0ZTSD6jZNydk8DNIpv1TIk3IWoCdiJnGUG7pXkWdEAXJVkNet0kNLCTngozR6huYs0ZViMtQFgAEk7k7LFjaTJBcCLbEFRfijYaQJuMycrTFbabtIDp0gnf_hTSNVFsG-9wSnjprW0ybwXRaFpmrsDhLsE2WmRqVHadIglMCk6DpJtyN1lorgJBBMG4aRhFidQuAwPBQK18MmADbZEXZUa8A-b-EG5le4cR2xso1jWyoHi0E_ZSo1tB0AGP7KZ0T1la1ravcIF5EXHssY7a0-mTaYaLiVfxaMyiWlptpBP1KXiiY6fRVeC67jmdk_GwUF3lsXJhW79g20u2gWnGLrCPN6sEO5bCzVfN_qNQaXOJjIsFi-NfXgkmsXG7Rv5XGx6J4Rp0NLWtkeSiuBdOwEIsWovDXAkEt3nlZq3tq1N9QkEA7BYxzsxZotc3zZRAfW1QBPiyuLi2otDf9RRvP0006gcLiXMymM3p6vTdS00rglx9sLpwStVPvgEZ2BWxdp0duL5IsriMnUtDzLTcbFcq19YNbmOmR3WjdSt4VjRl5karQVzrKrqmsdo0nkjZYExWDWRMEHZApeXOnVYG98KqE-mbE3wpfUaG1RNoMC9k0VZU0gkmdldGqmNeYH_xN1W9aI1P1BoIjc7osEv0gW7uFbFBh0uBAvwozrU6o57RMduQVcxGjpiXNBN-FGWumSYOkC-5WpG1gQ5hE2ytibO1wINuCpocuaItcZVgVjJMWO8oFriIDRlEZHHMC8Rcrle2UWu1PMgiLeFHRdpgAzYYRGkOtJ-6Vmm16TAweVCENT_ttvK3GpVadYgAaY5ndVo5qhz-0khZ-hmPGmCbBSiPcCbQZn4WMB12u4klKSq03lwFwBKRqU7nAhwvqU5Nag4zBIjdcqadj4hx24WfrcirXEDJK2lVZVExe220LOM0DUc_AtPKs6ReiYEAGeVfaPQpPBABkW4XWAl5buSBb3UoWoNfcSJPCmKLXhpN9XwsYY0U3xk_hZxFC7W7_STay3IvRKgAIBkkcJiFY4m2TmBsg4OLgDiN-FrBN5BsCLnunKnY0UGkkAD3kJbi6esSWuBaBvIWCMMy4ugwNwp_qtDSYH-oeNlrputFF5IMW07KswRUDicFSpUw_ucJDioshHzYNdfhZsnotRqNiZHsFzWVRji4k7byjcq4MxDiJGEUXO7RIwpRnnU7dvspqWEqCRAgRuVpIxVSbHM7Qpi1P1NJgGPdVm2X0roMi19yUZtZKlTQI28rUjMRNSbG84ha6b2kky6BsnqeucDlx0iJskBbBnMeFRYEGQRMcqdLKYki95AsFU1OYaAR9kxmu1wRPwSk9Iam7UQ43JtflWtYc6Rab7mbIFY4lwi8bKbA7YLJAM8lT1DMJi5NuEs7Vem4hw_0jlBc1C8CYsVjwXoObSnXJOCBdM3xG2lXvJIE3wtxfgtfN9ycLeJ61dNYCFZ63xex0pEQB7I2s84aLkblZw1jrO1VYM23ByudiygGyGiYJ3QsUgsblpspM-mm9WQDuNlnlESqOkOnfCy1PEXm5AxN1lYv07odpz8qNN1J2h1z91zqrN7HYhx_CjpF_UtmZsjUaaI1vAn4Kqt9NrgwSRKzZq5sHJzZc2RJ8CBdGlQSXCC0B2IVlxqdNVO4Frretq07GcQs0amHVHdJyVgUb2kzumB3P7b3VxnaXTLQd5xKyCH9wJzut4sVJkX-IVVRrQAoKDtLTJgrOBj2mVsTL9_Kze6J6gXA3EIAXRNsq0TLgf8AcqYFfDgRY24WaIt3v3HZMCgd4ABPkoLtBc2LTiFoPpDQBxvupoUm4IEDAHKWYHyDtC1BJzSQRcm26WgMsDniVkUktvmygdoIAiJ8lIKtDdV5kreitH4EC63KlEuk2Nt1rXOmYb92ceyurBLCCNwnaaVwl39lG654kXCz6Sp6Yg4WcxaGszBI8I57hXOBMX-Eb_LXBocP9ldilLZvv4Rm9miTc_ZXVikANET5KqT0haY-oXx4RtJwm1x5Ss6GomWk_ZYVwJab3PupTR1a5tc7Ia00AC0Xv7LSXtRzoIkXBWmcrpsSBaUMUbcGTvZEB5AuPaUXEahbFiD8JVnTMXO1WGVhtZuYzHlAzj3WBCrO4oyHRH2Wi_0LxPjwscuqYUHTgzzKYwoSNAiZJVPvazCQNP5RFg3RBvfYIATE-6CtIkmIhQUDS51yB7INFKmGnN0Z1p06hIFit-CgGkSMFaw1N3d9QxhZpOk4v5wFlszRYjmyRKLe3YkDC0z4csJiQlNUDLW9lZAxjSPCuA_WRt7LPnSbgAXM2VkN0RDhiFcUQwxGFQhbLgsB6bZIG6os1rQCD-UsClpG8zuk_RgtEOjKkFGPEkcbraYaNyRH8qzFcXib2EQtepkAGcrVxXZttssdhXnSDG-SUTNTOMEEcq7gk4aiLxIuuWKm5stj7qWGoOvEQUxtwEbXOSjCjjqHCCXqd2IWWjB-omYTBRhjIWkpzEQum9IlrMm2VNDEblamoUGJhLGTNcAANyjSoOqxutOZyADMQCqiFR1ztC52tQjc6pnwsaGIHm-wKsO3aTqBJMcKJ6M9oDhJ8KNRCqC5hEkki_CXxrY_x7-t-kNL9SrOMG0yd158z119j5AsFQkl2kiy2zH4gkRNh4lf0t8O5rr2NuEBZLZ_1IsrS0WkmRwsrpqYgySDOfCrJiGkxBnM-FNCtBPsVBWA4mxsLSgnWZDdUyI2yixAudabDaFGk6g7bag3hNUSYAYGkF2CmopTdALWzbcoX-muQWkarEbqRnDaYkn6YxOFpeooDDYza0IxoZIJdpAHuVY1mr03EGdVwbTZKh7l0D3LYgqCjzBDgJk43QGSHSLRxhGo4dzi4mQUGqiySAHA2-obJR6FKwIBmBJKsSqFwIEG2wG6VEHt1OiQdPJWapQ0kWdcGYO6gy9Q2CXSLGTCUY3GSXZA2KETcwBhxBWmki803XxyE1LT9ORImA4_dDWxvc8tJxshW_p6jg0zifspOken05a9gMgxtGQqJ9WxtV7mg6TmSpUeL-pdIWjUQXTAgZ91kfJdfTNPqTpAi5vysY1_7kGvaWlwEO3OyZi4alT1OkERNkxMet0wDIkieQp3VelQqaHAz4utbiVoZUF-crM7TWtju2Wj38KYvTH1lKId91KV5fWuD6cEWA2UiR4tZwLgW9vwtY2wvpiHapyry7aY6o7mwbBM6SrNpOLQDEBTGVgJBcLu_wC3CxjTRTdpExcnJClZbKLzTBBwcWSNSrtdqptBcB2pYupPohwviN91lZdQqjQ0loIkQpipNcX0i0kwr4LUwHGDAj8lS3BalraYfEusVqVmvX6WkWlgnTnO6GNPVsfDACAN7IMdfYgyBkDdStIUmlxtBn8LKqAdznGHEbhajFWpVXEw2wjZMI20TqJk52KrbXSqNAhro3CJWimSYktg7nZaZF1WWTAzcqaAXBxwFF0Wn04OQUXUzBDjttKCVRvdaIiyA0HgEgYKDdRdqEapjfKLrZTcHQDEjBOCoNjHEwbWtp58hawdUADw5xv_ACpi7-2ilVm7xqnEJVlORqBe2DOdWymRbyL6bg4Y_uiTlV6QFNxmT8LNbnJV41OgxJvbf2XNdeV1zHPaSNTdIj3War5jrx6x0SBpyXFc61PXk1QKdQ4PMYXOyu88RqUwHkAnGdllpzJLbtkztgosUeQCBg5IKKdtQ65sWlZpjUw6mluRhZrGYYMLTql21klag5ubmZO0K-qtQJIJsL7lSpXodA_I090xGy3wrm9Si8NqWHdbzK6NYvLpdMtB_aiJ1-0DYbwscu1jzazC50tIIxK5uiRljNMQZycLF9QwqHQORIus4lJqIbc6vZVDNrarRpUUXnUB3X4KiA17gYGf7KDTTrS8kgWBsqNVIltmQTzwFprVg_HcJ3V6XSNq6dQ3BVtNWpVJdEAg8FZGgS5rjIc7JtjwrRopPMxEAqMNgcBoAjuNpXSRpqZpbYbCCSqoOhxImUEKrwww5AzO46dUbyEDdSAaJM72UqPNe7STvFrLnUSnU4FpMA3usqvQeJLTa_4TU1uEBhIJcOE9RL19R0yRwStAk-o54BxyN0WFpucbuME8Kytxo1tBk491KrqdYXtc43UmjgSHzMjhKEeRp7T2zE8LOMqUXkHMnayyLVoaIBBm-MKVuVAWdpuZssNGmdiAN-VldqlOrrcYsMZVkNqzHguI1StLriQ2CTjaVmpVKVU6psIOTZJEelQqyBJ95XeChAuJOZQITpY7klTFhWRqkAxgHlZvUWtLHFkybnlSMr31WgEC3lUTfkTIm4ClrRGFwcJ_Kk7ZF5dA_hbEXkB7TtypRfpnvIz2kQsf6K1jpDuQIyp_gzAHU3JKla1ZjYBgkD-6sTVdWpp53Wl_xQlukmwMWUxEHFrDMi42UrTnPMD7TCgZsNyYkLki1J8uGACpWo1CoWgtcPAKR0Te-7hN1WbUXHUyCIOVmppJgBNNZupIibk-FdLWIusZmP4Vcy1CIEWELWQrO90DIJndNWEYdLtRi84WsVzyC0iLqyYsIJIIwhTGLlthgohWFwnHvKhirjqgkiBsFoITPPwoji4E2MxudkWR1N8ObvGULFHQSBqFygAfIO8HZZTswJDQAQTnwrBQPIM-FpWphintJtpWaHbJjFshYopS76pE3PCs6G1pIaIJkWutzsMwjUSDtFlpmtlB5aQJk8hWN8f7etQdBGAEdF9WptoI8K6MtYai2bj8rjb2kcx0wNQaP7qf4pw4AAucHeBK50EOm0H3WV6LUtADrG0pV6QqEtcJbJuuYvRg6ZtAyFdbjYwhx1OmOVnFzF2PjVcSbXWV4tFMa4i5H5R08rV0w_cTAn7qVp6FL6O3ulNWXB1lswA7wcqXuIZh0ugiSbLM8agwQRaPKaWdtFIgEEmY8qtxoa7VeDmSrYq1IgyTYkbLE0bKYtIxHKorpuTOq02S6z4BYCJxBkQsn-plszFvdanaxVkHKqqXMxnhQOA57bmACs7gZzbAnC1aI1XgNtaT_wCFZ-jO8u05ycqgOf8A-AqAlsOO_utwBxzBhYok6ZhxgC4KyKUxqvk-FRXMAWtcwtb0FeNQ4KwOeLmdtgt9UGm605E5KAkaSSTnZSwBlOxMz7JASdAkrQAFwDjKz9FNUGdkD03GZJstxKtIMQIHJ3W2c7EDzcbrUWxUnRJkEBa8cwB1RiVmtd30lQESQN-VirIkQ6IMDiVmtJOl5IkSOFNZs_RC4k6W28qtYLXXEn4Ckk9DaoMyZW4Ha6SHG5SRVHAPBuZKqFItMD_ZFRe-ABdRzyptbDiZyLBMap9Gn33WSRzO50l0AcLN6XGtkWH5WpTRPdgxfJXQ6cIAzeVErgY8QbICCSQJt_KGpVXGSDaOFmkxFrxkZmFnuNGp_SReVrpNVBOmeLJXO-i2GiL3TV_xxcA2RmedlP7MoucXA7NPhVFKU6gCdpUW99tLWEEGbHdVlRxhkCZCBAZt-Spqr0zNpvyFUXpgRGSoNLIJhaniYux_adyNldTBL5HCu1rEXPANlDCBxN7C6YsNrGoW3VkVVggw0K1LF2NIEyCPysdsCI1RsPytygubAgYKoTi8LnfdWHY2bWK3EOAAYhbwPpJnKYEqM1RkFYwPSIs2MbwrOIpAM7wlgUARFuYTPoUugCJss4tggh0XWpKyYNuP7rWKJbIAtC1LgM6LeNlmgPIwAZG5CuCY7RfBwpRN1wP91kB0wL_YLXWJ9QeSJjhcaqMg7_cK41SkzMbi6MiHyCJiFLWsSmScGCoK6fi0p2KsgjhWM07RnhaE3Nh0T5krQBdDSJF1Z4JiYM2_unlTDsJOY5Wf2m4sx9pxK1OmKL32Ala0R1Xtss2NZQc4h1-VBxIBkRypL0nol5JBtG4WWocPDSGyZO6pvrqjmEb4yFP9Yf5d_wBQunc3qhUkXsFjnxnrtxvT_OuoGp4jULXhYxZK_C9N0yCv6c-HtxaSbjMWhZZ3DUiZnBCL0103zAJI9gorQ1gcwjEFTVJVAvDJIsFEMwCm63CuKZxAsD8KJ_qdQ4BEzlWKg9rWtEWJNhwpWpS3gibDgKYIhw9UOkk-SmBm1NL9VnEW9lPGd-NVNwI3vtGFY20ABwkmSTlVgWEN1ASHHBVAaS9v1RFkgvRfeJkBQqvqj09QMHhD4l60kuaS5xEG2FYipq6GjUdXlFCjVMuiNJNkqf49Dp2gRcAeBlRtupkuEAEAYhEqjCWkGzhi-yMp1KZJBcANhe6gU9sj8pgjVu27AIGZtCowVQJOG3teUVB8EkahKBCQHDWZJuCpUI2toq3bvlNab6dQkXEE3spo1tqSGzcbiYhEtk9eh-nVjMwC0ncwtRictbKtNtQxyAQdpRti6zpSA50WHbws1Zj5X9X6GSdTSCVjlcWdPGDRSd9JgWAjKxdvrXxanAkQJJkBWUxrpuDWkggDeLrU9Zb2HVuIIGFbNZWpkuIusyfiPRpz6bpybrPpE-pptf8AMGeFcaeV1FEBrpYYNlPGNx4delpIEzebq3t0l1m6ggtmYJysyYrz6gh8kSDgrojRTMjVsbQVKuHB0utYCJhYvqqsOpvaZgyfC5mSttiCSZwjNmCGapOkCNpyFpVdIILYzidlKqVelBaRtmVmtf6zPaS4hrpErIo3tk5ndPRQOGotLfp_dK1B6HRdS86WvOuPpPCo9Gu6oWgPNs3QYHvABcRGyglIbG3MLIZr76QCGkrciVo6UAPIsABMk5VqRukWIHaDlRtYDva2BGbIlbKREGW9p2ROhq0w-CO0DYIiJB-5sSguxocdJd2_wi4R8NdLb2siouc55JAPwJU-iYcQTFhO4VGnp3mCJi2AMoPQp1A4ghqDbR7bkSWlagrr1EGbm4uqNlGmC0CL5tuoK0w5jiSyWzgqYH9FrndrDLsknCz2K0uleJgiPKYGdSdckAxaeFn8f01rJ1_TPq9O47DELlZW5Xx_W0CSXWcMSudjrnWvNrdOGuMDUCLFZb48mJ9JzbR2591zvHt2VZTEBru2--QpdWdJuBBkjU2YuoS7TsENB06OFK0vTgNHP8qJVTrcZmBj4UY3DscC0CQBgqa1rnAAagRBsCqVo6Ks6nUbnT5wU3GentdLVY9odkzcDZdpdPW01BUiCJ98rXhC1KOlurUXHyFKPOrva1xFjfBsuVjcY6tQh1ocOFnIC0uFydI4AyubJHOa12kTIumLhmuaDgjzOVnuoQ1Ida-5I2Wvxq4am8mCXCCMqYirHiwFo35Vg0MeYEG3ICuKvTdpeYbqlL4hzFr2J-mLqRqGYCbk7cYWrCNtMkN3iZiMqqZlUN0jNzhZxhsp12mIBAFxK1INlF3qNgTJyYWpe13sXQXACQSYnC2tSqaXbEn7rmmmotOsREbndbnfqqdQ4CkL33BClivMJLpJvthcOXrKD3FtQkDT5WTXCo3IPsQiPSp1B6Ykkk4WpNEXBwJGqD4S9Bg82GrxCmhnVIdOfELWt6cBraWomRwrVgMeQ4GbFQrQ4TAJjeVampF2oQL3WaHpSdiOBK5DU8w0nUBa_KZqxlc4hwg43Ux0BhAEE_dYvoqIcQbHTwtSh2OnSbjiFdFXNEFxtewAmVEM2sRBt8qxp6FB1zNxwukRqJAbLh4jdAlR8GNhEygUOMANkNlZUzqsDYzuojVTqgtFzqSjqztI1Du4WVRY-e52PKIoROpwMzytCJEnPjCLD9PV090GTe15Wai_USRLYbeLqQZ6L--0jmVKNA7hIEHeEjWLNcNIkeTBwtTr08CRYFu9ilTUySIGmQLzKgTVyZIwVmtLaTpAcLgLkldSgCYudlmtNNOtaCLeU7US36SAfIK3BIgtabZ3WaYhVcIk3G97rLLNVLXNsSLSrgzknaZ8rTNSc0ht3RsUPWerZxafhFSaSWEZjlbMcT9JuHZlWdNiHwAXTmyrPri4kSDJOEagsdkOb7wESmJJBuI8oRIumwuiVzJaSXQDsU-igJEwRB5VX4LWnEGfOyzGNMGCcwfKtimBhsOAbebZSJ2djSb6u4ZBVVoY7S0RcxdRTCroADbE5WcFaDy7BiMuVzBqZUIbBOo-Ct9L0enV9S1jfdPjLXRfLiAb8QmEer0lQvpGTEYsm9tyt1N8MuJxhW9NaxvMuMZm0LlUTBv_AMJI0q9w5--yxyn6IRhc2RJjbysLhrgAlsxdZqAdLicuIO6zgdlRgmxBNspjrGmk4mCNVlHT2LtdLxefdTcYv9NlIdoGQSuc3e3T2tHSyXXteFpvW6i4gaTOeFiwxoaNfbvyVqAxF-LRwnvUbwhdJ3JlYsazFemdqcDHutRjWxswCPpmxWbW1-nDpLothZ1WtjiwCceE0aGYdgyMlXUpi2wBsjH-kLdwZTxdOL4N1o26LYbZ2VLW1mHVt5us-jnuhrjgHdW9DLUMkEQeVkTc5oOfhXREAapnuPhINDWwIn5Ks6CuIkjHlZ0Q0z-7f3UFmiHAg35V-6KYuJmBdagVsmQB3IEfMtl1tgFn7jTqZEnYcLTKhJhuLncqhWPntFpOynQMEgST8BSgBpng5UVSLBrh7KoamADBOPCdjRMxJEyu3xNgj7qparqkQbgrUYdgi1lmmhUaYAAzdRqVGoy1_wArFa2IsYAZED2WfUhdIDhdW_poxZEusrJgRjg777qjQxgB29lrdSU5MMBd9J2RUjBMYKJZpagFiL-wRJYRrDmSP-4oqlSzZ1TqsFLEvSbIm5hc-Sb20Uhk7LUjXWKxLYHvC2yAi5JvxCBR23iZ5QOSHMkGBxKJE6jtwZEcKVfrKRDpnyp60owzkiBfKiU7gCJx4Ss4YMLjMGNpWV8VYABdogrc8Z7cW6hx8qdoemzS69_KjUamwZkYWmQNaagA4si4LWEyVnFUY9rdsbrTLTTfItad5QVDw2YN-VQ7SW2m6ig-peIxutoDibSc7KWqLAG9u2VnahtAd4WovxekLzda1LWnTAmVndZLiIEwk9DEy2QIVt-CekkmbLEFqIl0AfddcxFgA7uGBa61B0Bt7nyqoPNxP4WMDtaIFzJvIW4OcQN1MEX3uBm_ss4CB2giZ3SnwCTiQPC1KzigcQBeVKpWuLuPlZU7bYuuoYyTf8K1Kk-zSDPuQsVWYnzIWQdXwpdROoew6ThZvisz9Rm58eVlaDZEX_Cva4V_e614UDUmXnDR-UFGsAknGy0lUDhEAwiGAgXQIe3afCvYi54nxxC12BJHzyqmlLyzafKfS9rMcNzlVz7c9xGDJWGpHNbJmZnlVrQqGLRdE9JkWmJysxMwzXZtMKAzxfcqNYVwMXdJGwSmR_ln9eV3j9UDS7tAmF5ryt5Y6STHxz6lMuJldFj8FkQDcDwv6Zr4H1weTvplaieLseA4zg2-UxJa0McQRwU_F0lbGOEG-1yFLxLsT1-pU-qFMal0wxYwN1KpmuDXXEDfyspRcWxM3KsJGGrUh2lzrE5GUrUTMtDmk2NwZUUjmaxIIPtssnoU4pm7UxMkbKJDS7Vk4TxV6dVrYaYHlan9sdmd25kh22yuigYNXE7BQFoNMnedlLVO89pgSYVEhULKnba0Kxnx1SqNYETNrbJVt6P0bCXB86QRvdRnjxy69Si9ji0DLco6R6NN7o7BkolqrXB2u0SN1Yxy5Z45kEjURbeFWZyQq6T3ExBzss119Zajg9pE2H5RWV7i5vc2UWxjqF0kN7Z42RgrAKkySfcLOq5vYTbVafZXFXo1ZjuBgQYUVspPIcJALo-E9c-XCXt6fR-kS0xcXzutRz4TOVje2q2RjUcgYnZXHZ1W7XFwkHIOyziPD_WaFIdO4gmRcTsufKLcx8n1ANIjJJusSa1KFMOdqJAgxN1rMXW9gbpGE-sWqUqxpt0g2zK3EaqNVrtOTGTwE9V6LHDQHNObRypmNLVKf-SJz_ZUed1TQA4ObI24WLxZs6eF1lGHw2Z3hZnVONxiewFxDshbblYqze4EbXupuetIOqx2n8KaHFTS-xOIMrNwbKDwGjcjhZzUaGOlrQQU8F9REFpEbiUVWnDW3MybBFgVJFKq4iwwPKlZ1gdUDQSBabrNWFcz06gdJIkLMbWafWc1xwTCuo9Dph3NhsFv1SrBvd1BI0_tA33ViVEs1gG0eyoyVh3AAlzsrJotJe-LEha1fWmiYyO4cqVOo3UHh4dP_wBItaaZD3G-EZaqDmMIIcTsgYu1BgEFw84QT1RYNGoDlBejDidWfKNROs4WA7h7IrMTGpt5zG6IQayYi3KDVQLWvFi0iEGynVacC3sg20arrHA4C0NlGHy57QNOAN0F9TmgmYg2CDXQqCoyNswittOiG0wWzJuodLNbpOkzMSSNlMTVWUW6D26nO5VkCdT0RrUSGAwSJjlStR8t-ofo7mEuiBJgBcOU7d5yx4XU_pkCNJwe02hcrC1nP6M8tkgnYeExZyqVX9Lc0iZvlxWbGpypT0Z1nsB8bLn-Pbpx5RGr07xMCw2Wa3-UKGm064H5UzE_JVsuYQSJOAsMjpIJgXhGoLKhJIw0cDdVqwadTuaTMG0eVPWJ69r9LpS0VNRa3YRldJCevUpkPYIbcTg3XSXDaaoXOogC1vstesXk8zqaRcWi-reVx5RqVirM0gAgB20rm2m2rF2ukjN1GjS2sZbYBPAmgM48KT1EC4Nc1pEuK6Ku15IgiHG8cBZqVQVNLgJtbPuseUi9J-rDiZIwtq1sqttJ8aVGfAaSDzzCZjTSHaWOhoMwYm6zZUV6Wqb65YSbLpPD1RzIcADfZJDxZr3B8gGcZVitvSueHOhpJ5JTGZO2rWHEEt0uwCVvP7VOo9rbtu4bBTFLTq6STEcqhy4VZi5AypUYKhdTL2zbIXOzVrI-pqF8rGJDUoBOCYUxa2U3aWiCHeCukxI5h1EFxJBkEFZs0FrzpvkbgSVjCOYAahvjKvi-NJfLYkK7qSla4iTG-yrS4-mY1eClCgm4Axe65gavqOBOApiHFTtLZ-DeVr41CuMiZg7rm1KXXJ2E8rHrXRi91mixGUwtXpHSSJNluM61NLngEAz_AArjZWXcZ7jjCmYNnT2YYJMbrXHxGvU6Ggy4RkLSa5o1kg3nMqKDiadpkDBUwJIcBNo8ZUGuiBpABgTeRClAqOLR2jVaZWQe4wYEAfCqfCl7hBkz7KzsibjLrYM4urVOx4pbmPKgao4G9z8JQHVCMiAsSB2VXS44Fsq2NNDC2NVo8jKlZLUJDwbAeQgUk-cQtfApZgloAC510i5cNMzcjHhcUsMGxnbdUUBxq7tro1BaS0zJibrbab6kMIN1LEvjM5l5JBOQAsObNWcLkNtlVm1A1A5zRjeChCOfEugxNwhUagDXDN8EqxZ2iX6SRMTaV0a0GvNQjFhsmaouEmxiEzE8EEdgAvuia6JuQbbhFJrcSBMjjdU1zDqbGoz5CiARsbeUBaTpMjwIQUa8t7Sb8KyJhXvGogTJCtX4u2BY3MZKyzFJmQIuLQq1T03bEx8KIqxo3veEVSh2DJAPIyiVeQ937ZO5SMrUwaYzjc7q400NeNRMy02tn3Vg9bonEtt9ITEegaoFMlxA_Eou1ifUaNgFn_W5QY4SDI4N1cUatQHDrhZsaBlTY8XK5WNOqvIBLbA8LOJRawaASQhPRaDpvLQfysVvWmk8luoHtwRKy3rUx2ozpt7oethqS0XEjYLNONyLUa2lwtMYAUdZPreyqCNz7lKq7HtaQAfMIHdUOomNQIvdZzFKwajI7QMSpWp21Ug20ntn5VX8ZWtrI7TjKz-KtQMAR9MKfip2tPbbSIspZg0seGsAyRlagYdxAAvynnqWRQs1g3iOVGeiwAZJB2hJUv8ARjaROOUroX1DqAvfcJAznjVF-Fb2JmLkxZQSezSJLRyUCtJa8k_dZDB4AM2MLU8C1Gw4Eix2CyBEOsPFlK0qwGIz7rcZEsIaBBIWdCg6RfELQR5DSe2VOg9Nuokz5VlDPgxe43hX0SDHa5Avys4Cw2bNmxneVQtM3i5U9vQ0S0mS4wqOaQ0CDI9kFaVUGcEg28resXjqokAAGJvP9luLZkVpmZ4HK1_TDt8EhEcT2NhSrEXtBExcbrFbhG3ykaSqPmpAAhLAT9JtbwoJsbEnAUZqzHxBJNshGZ0qXGoJgLbom5obfc8KeBQNIsSAcq6x-I6YcAO5p5UO7RqCWAqVojG6gLXG6no0MdptFoRLLVQA4C8Fa-mY6DqwCtYmlcYH9kRF0zEg-6ilcDEggiEaiZ7hf8rFHMYdVgJO-6RWgiO4YAVrPbtUObiY5UxJN9Wb3NuTGVsqgsJAg8wpWCgOcJFwoXpZrYvOUnYJpXmDPKz9WK_st8haDNZJBmERcC2fwgLahJjc2hWIJqQb5SrBDtTj4UgbYGfurVOwtJIkewUReiDqgiVqFWIdawVjJxOJm6tDEQFnNCC2FuwFpMzF1idCzXAG4AW90MXAf93sgYOgDzaFpkCBEgYtKinYYbeT7KxRPcIAJnhBPSDYhZ8E9RA7R8qA654nZN3wDXM7KUNS3mwWpBUugWv4XUNAjeDhKzySqDImYWOXjSAbcYssyBKncbZ42WrBEjUPlcghpgB084WQh1DbGFdaAS0dsebK41hi7SLiI4UqUuvVJwqzTA2sURQulljKCbjYEG-y1ArmiZutTb6npHVJbEyl6SQsg5MFL-2lGmIuCms44uDAN1n6pp0i8XuLq-Jm1znGRNws7tTHCLibeVq_0eODg05-11nK1ug3tPMqYo1XQ0kgX4VnrO9v8z_6hdMafWMqvMAiLLz85nLXWePhK9NusFpyJPaiPwU1-okgDiOV_To-BtPo0xeZ_C6Y58dt7Wa4OJnbYLDos0uDs22CrrGlr8ajDhwlWuJJJ0j7qMyGEmQCZGIWWnE2cL7SpQlSrpZDSDPJssqzvktBAA1GIRYR4a03dJAjCKHqFzDAICmBXEXaRG4ITBr6esC25743Cos06xe3hZZtxQvGokXk4VDtqO25VQwfEkkqVTGWw5oJG4JSCYgVBN4wtRArN1RAlKnLcW6Z-ktEQ4CCocbr0ulp6ofMDBHKNNbax1C8CYACIqz6oOdxstRLknajSGs7GyQb8lHLh3Uepc4QQbHKy7MBkHVmUVCqS1joybBWLqBgwAYdEQoz6R4kRqN5IIyinax0Omdo8oKUjoDxBMnYIrRQaZg2bm6uM16HSfXH7YtCmscJfy7eh01aWgaogXgLWujRo1m4BgfUspHn_rHTT0wgk2Nispyr5LqqBOoFu8X_AJXK9Xpqesg7KkNNjMjZNaXplxOkjCOdaqYbodMgretdVai7TDogcrSPQoSHQ24RuNxGtouo08zqmWOjuOE1mvBqx6z5IBG5XOxnGKq2ZnBU_wAbjC-lDCZ_bYkqd31UoJBPb5hXYgtboF5Ihc_ai9B2rtaB7nK3JixpZNPSDuFlps6UN0xEzyJUqxo9LUS42a3G0JFCqWuZoBmL3Vc8ePVqH1C2Gi84WVjmO1GSZthYdFBctc0aicgJqN9KuZhwm4mNlVen07mPaDpBIyQcrTCdU7EgAmQAr8Gd0F306QN1irmg1xZp4m5VirSc7k2W2a09M9oBvqJOCoNtJ4FmkRuUwWa46tQwNgg0uBvaMyVBFjuzkkWQ9X1AtIJIRpP0iDIaeQZRSO7KnngIiNw46Z-DKDQxhBEm2SZQaqWkG854mUGu7gIiEVu6d5aDmcRzZaStNFwLiTaTY-UxNXpnQ4OYCBNyd1cNelTrOAH0i0TC1kZVYdLgCBzM5KWdKs2vpLgInwsNSiakU3ECPCVUK1HWCXc2dMrOGsNXoaZ1aRO5kZWPx02p_wD4-m1w1MuThYvF1lZqv6Y2SLyRjKzeKsj_ANFkkjVe91jF1kf-iuJ1GmRIM-Fn8V3GF36SXPaQ0hkRKxeLXG6gf08skNnVi6x-DoX_AAL2uc6DAvzKz-Kl9P0jIBDSZhYxddVph7wAbcAQpOhv6SsBRDZIg7Fd5y_Y9Dp62mm0GDJsdwt9escrY0MeXv0uNsSExyS6zpg0aidQwOVLHTi8rqSS3h4sFxdYzMcHTpb5Iws2NuDiC7ABGyYEcZgZBi6mYiDzoeZaLYJWp4qrXuc0G1k8SrCqDd7u4bDdY5doehUmNIBdxwtCjSbgw4HKrTRTdBEgCEqtLXtPdgi1hsp6h21A0GBM4_5Wp-hdrHPdrBETfytsrOYQWkCG6pIUxppo1IedNxxwqrQKhDQYLiUE6j9DokuaBuiLMqB2mGidiBhEUbIkwCYS06Yuog1BgXyOFhpjrtGRg7pifSh5ZOmIj7rODV05NSAWxNwRcpkhjq1UugCLNzur0hWO1UyBIMqdEGmYk6rzeVzqtLCAwnzuESw8upkEfScqeo0OIDG3I5K1jURc6HEzMiJWcAa4tMAiN5VbVpuOo_clQF1TT3CPcrngmRJBsQdxsshg4l5ggzmyZ0laabh9MTIiQFqEXGkNAiCBBW29Kx5AiAQs01roVdbhqMfK1BqAE76VtlWk_DDYDdF0lR4ti54WL0ulnUYJkALJrbQuzI88hDSvNyQO3GNlFcQTEdxzJKCTpDQTlFkKTBBJxMBbUWCXEgGTi6yycamgwbZP-ynRCVAXP1EarTZUWa62q7AcSrrR6Z1kgE932Uwpn63DSW3ndRmACTpAJ8yoOknP06tlmtaqGjUDJJm84XGxVwO0TEqBGt5JLs2VxZqsSLmJ-601qdUNyBfkKVNZXv7pz77LLnWR8ybe4REnx2ix9-FY1qLqhgwfuris9R5DheeQrhHaRIMECZyrFwASCSAP90rJS8lpIFuFpQBJDdXuVEE1NETcbEopHkkzknBRDF403MEZhLAW1Gv-dlPEM7I8ZWvVjhUaGgWnN0VwBJ3MibIHpmCSBfgnCgsyoHxAg4spWaeBaSZxZIjQDpbaZWh1OCAXTbAUGmwdBF-NkGik4H428rWQXbYargzeFL1R6P6dVsRe45VixrqvMfVPKsrWsr399p04ws5FwQ2QZwdwtFoioADBMbhYt_TculdUhwIus40PqlrRazcrnSg0l2DAi6iKUuw2uFizVnrVSMAYBUx0VpPeHXAjlT6sahUkGBLdwubPjb07x4xHyjvxrYDDSSL8yjTVTqSJzbdZGkBrtg3gKwKQGGDulak1ooVO8ZkYWNaxtc706ZMy7lat6Z8XaSR4jZZnjasQARJUztVadzcWKB3vFtLRZM1FGuLhBF1rxiwMgxIUtiY4uEGRJnCNSlvNogYWWzayG3MEeFdE9ZcIBTQHxpM7q6BqbN9-FnQdAJnbwpoUsAcDxyro7XJ-eEFGRpk7lUHDgM-VNEXVRoIAAUExcgrOtNFMBojBBXSMmqE6HGxjhKM_rS4CLLIYzgA4-FfgNKGtN5O6ShnOPbBVDsZdpz7oCSA4xn2WoNFAAgebrcrNXJGkRhb_ALYcAc5UHESIiBCUiDgQYNuAFit6m682uFF2JgEm9gFNCVXkmANQVUzMFpn7qJZqtNs_UNspHOqtDg3-VqNwjzqEhSxpzWjJO0QkTTbACwWqQlUEfulZvii0ahEW5UFCIEZI3Vc93w9MnVFvla4neH0xMytIkTaFGtwpGqbiFGijtH9vCKg50PixCxgtStaArAz3tptvZWiRqF5tZYF6Ly5sTK3Eq2oRFvCZrGKMAJG6zevGVA0kD-FqBnT-7M7HZYsWKtbInf8AstBojIjyEKq23aQCeVPGdD1CCP5WopXkltrScyp9BpvH_wCnuFVizQTJm5sVWjUmkuiMZhEbaTcxCMVWGxvJRAIix7flb3RzGl1xf5U8DSTffFk0KWwYyFnwNqtF_utQOwd11r4KlxOInlVmCzEcLFvbWHFvZbiQHjSMRPKVU6jiB8bLlRJo1GbR4SNY4WJz5CsZB977jZQPTcQPGVqXBcvDhIJJ8rrKzvZdcCFbWsSe6-SsUTbY5ymgfVwYFkqE0yBERusYpHwJjdSwCJGyiwpt7K40R5DgQDnKz56ibm6WEKskNVzcgBYaNTq67E4VSmJmQukQrnRkQVUxLVqA_sigCWycBBVtTEiyqC8x9OyngHqahcYV3VEHSQSuf1n0WmScTsFtcDTrbESTlNTMM0abRcCYCxrQPfqkkRur52xXxn_UHptfQOq6TIOoLnyn5dunGv8AK3lwcQCRGbrELLr8HNOkWgfyv6Z4-DES4mbrVSLtYQ0gWJ5TU9aaTSBaNW8q668fBc0CYJA3U_KNK02gNkHu2lM08M0AHJ9lmzD0XMlvaTndSqyvouEEklgwDssrh2vkkkAhFQeNDi7KlAFNzokicpAH2cqvTRRhxNgBCK0tLWgQInClYw3puI1OgKI5sBpBJJN_YrQYEgxqPwl7Qas6Tc_KSGCBpAgq4VxLpFrEW5Vka-LUGAvDZjcknKM5nj1ena1tMRERhT6Ksb_macNN7K4vxoY5sTyYEXSOfKWjVZoO3hGeGMvUy7JAde8rLswesQ1oJBAF5RMQr1jBsdOQN1YqWuTMADwLqAmRcXMGxwhQ1AOJdnxsh2swD1AQYASK0PJgGxH5RJP21UCXPEkWGJUp1uN_T1mtfAJniJCTsbKTxqmWmc2lVE_1MTRPccnClbfLdfQNCXwXDblcb2x1ry6dJocSJAcZIUVzSS60DyiVoo1SRc_EK9_EjZR7qZl0-F0mtRt6JpBkmFV4t7pdTmQCRiFmta83qpaJJt5UR4Ve2reeFmjE9oc1xMlwsJ_sqvxjr0nASLyLhKhaN4bYt3C430GAXWJ0rXFYtRZPAI_K1WsaHQRFpCwsi3TVXa2NGI4UrTa6G0yHSRwkuIwP1yRqB8FTlWPrHoio4kD2WG8QAcDuGk5VGqmYpmDqjMLA19EztDpI1WAWtHp0yWBlgDgzutalGsyGXkTcQqwyl2kERjMrNbhmta90at5ha4qr2tBg72lWM1Rss0vHGyDZ0zCBewsSVaNVMkAQb8FZFavUami8zmd1penUwHD6rN2WSRcNa-Mki6KV7ixkxYQQGnCDLWqywxbkG6LiY1Xd-M2RPFW1C3QcmMcoNvTVS14Akyb3VxWtjtT5JtmAtLW1lg2JO3lbxzWA1NnuIBxhWSI1dKNdQkiBshXpU3ikdIcHHdGVR1ApuHixjdS-NnpO782zJXNDOeSSHS6bZRqHcSGi4OwAwioh0vFhMC8qX0F06rgjhwyoqIY01AS0gkxPKiy0ool1wQLkSsWau4tTY12qQDsOSs2Y6TtHq-ha8AAaYAvC51Xn1f04VGuxY77qOvGoVv09lMREAxAB33WbHTXk9T0jROloLvaQuV4s7rO6hFSDpaSMhc8VJp0OOjSbRHKng1dISC0TAmfqyukqWa9SmQ8k7xsuzneNk1Sm_UwB5JAx_wAqXxZyeZ1tLQXOB7QbxsuN6b415mnaBnLuFiOqbgXOmLTEgpVNSB03JIjiyl6ZI7vdc38qSrCtb6cEknHsruqJfraYaC4LPjKlIuJLwSDgxwtQaacNNjqJt_ytNrB8yIki0oLscW3mZypBVjmuMNdjJGZT6w0U5fSgmTt4VZtWY8uImMRBVXV-neGgNmd7q61urNfINwANkCNfEF13YaRsq0Zr3AyZdtcrDFrdTDQ0TtOd0ZnrDWo63WIJjbC1XT4zOZeDeMwYWUIWNpusO0rNaWo1g0FoguO6BX9wsTa8IA4l7iRAba4UopDdWS7SIWfVwwdBDXAXwQrhY0CprGkkH3KxjFitOo0wADey1qBVGpxDSFKqE6AdQl38qNxrpuljbgGMbJiuMOAiD_8Aal6Spg-kZsbmeFzQW9pDm35CufBqphoaTMT8KixN43HKLCPaWySWgnwtLrTQaakEQIEQqNjH2DTfYH2Wg9My4wYAWfoZ_iHTdYvfoSm7uOprZJupiY3UaemHSNXJW1wlWRUMiT4WWtTAjuwfdDRcS5hEHwhqBJ1AAD3U1rdUY4ATMEBVDmqSI3PBUoQPPO8ExsqKUjOAHe5UF2UxDhkzYqg-ppLpzgKWCbHy50k3NlzodjiHAyJOQrBSk7Vcu-JUrcqziHCG5zJXNdKxwaDFx4Srpg4651yCss0j4kiRnK1OxmqtDWCMndXEZatUt1OgE2g_8J-P1cQe7WwTG82Wf7MxCs-ABMkeFuIUmSANxlVtPVDTqNpyiURpztwiEL2sMGTOZWlgPEi9nHblTWKmBpcJ0lSIdtQhuokSPyFYJ6jFxc-UBY4tdJHsFKH9Q65Fp8qytSuDnOcZ-iJPKKebQBNlYKsNhDQEww5BLQB9M4KzYw5p05HspitJMgEfdVFWyHSTwLbp4L3PF1oOw95g4g-6t8GllQzcD3ypIN3RESCScKrGx75a2BM8FHRkcXNLgIufhYY1dsltjeNyr2oiqZPjhZxqJvcSZBtzCjZdf06iRPmyXiKAmRBXGdBqdSJkkfCt7VspvtBuTuudbhtUECxOZWd7VoZVy0wBumaua39PWae1u4sTzysNbjVSeC4TPB4R0jVSeXEbA7JuK2scKZyA7wJQUeJbqJk-VKo0XOFxAHG6541K3McS3a-E3rFrZT-kDcqxdaGAMbO-IKm7VdaIBkDKlDMEk3hIHba-_KVDxLDpIlVlN7CTge4Vq4Mib-8rl9UrqncDJLZVUoEuP038rpgFYgtBxbYKcvCEZ9MCPlZ-CgdAgGVAxmL3TQWtFzsdhutjngh4N1KJuEjCxAh2BzOyq4cUtPkDndSIdoAAEwZXSUI9xBLdli1Yk1oNxcbyVUUgeD7rQ4N7wYnxss_RSbQYEcK7gYOvkQqC4gkbBUaqVmtIA0jxdbnbCzmS3C1vxkLtAm87LUn0KW6QLyD5UolWPt7LkqJdYYBtCjcgAltpRUTckm44S-hyREb-AlFqILhcwAriYoHCJMzytXqJf6IXmQNhys6ztFmotFxF0xFA0jJmy26Qkd03lZqiSPIPjCBqQ1XJ_KiLaQHCQDfIW4zXOdAO483WtST6iRaQo1jmPi0EKKnUALzeVnxQa0yZGPutAyGtFiPKxok5-u03_wC4QnX7HQKc3kIHonWSQbE_ZNzxK204OYVYtUDdNwljLQ36ZFyrilLJkx7JRRh2JgqIpe17ID9IMmZ4WbEwromQCfhbkakdIEwLj7JYC0OdE7XUIpTBmcSbrTTRTs7yg1B1hpyjnTh0Rf8ACIP1tH87qwEAggkmy1YA50MkEgrnqxMuJEjM2lTVFjiW2zKsZaKboJwYyugcm-BBWviQxMCcFc1FhHmPKsuDnP1nkcLVMRLwHZmbLFMAEgnAg7DZSNS_DOjVqGM3W2UwCXTsd1iigbGfa2FsOBLgZ-FfgWo4TE44V-J2SQebrGqm5hkmcYVBYCM7qwdUJ7QMnhZ_tKiZm1x5KzVK5wbeLHdGuJH1M23hLRM2O33WQtSXRutJET2kTjwFlXAQZGTugs0CIytRmkLLnMFW9HSboA7RcbKzsKLkF0hVNM0zv8q_El05cHEZHsputH7YgoAQXtjKlY2F7gZPtKkXdijXkYUU2sZyUJSFwIgZPK1e52zmvlv63qt__HPpZ1Wgrnbkb4-v8trdM71DDG_LVw_-Vvr8ChlwYB4X9RfCfRDi2G_MrKL0THknlBZhJIJsYwPdHSTDgFzSAYHkKKsymLNkzytQM4SMwpaoiTJkR_pUoWoZeNUlYaiIAbcjJjN4SGhVbpvu2ZKq9IVjGDcjIRNxNp0uGqxO_hGPyaqLZuD7qVtZp0kXuDkKBw4uALloxVlhMz_ZMYd6kGP3HchakNLOhpIhwnCqbo0qgm_1BZp-NsO14nVHynxczo1OqdUyLYla-D0aFchw1RBGRgLA1NqadpdurGou2qGQ8i2yupZ0o6q17SCDAyCpXL8bx8YesiLkB-0WUdnmveXZiZuVcEnVi4m9phXERNcNy4SDCYFZVOgi-DclSjhXi8EDdFq7eoJB3Gyl68RooOh93fCek7bKYc9wIFiIU0_Ga1Uzou23vskWvQoP0Ui4g2HMSqyPUPfWoDf_ALzaylV8z-pUqgr5B3kLPrlJlYHMcKkuws2a6pCjN4EKYuKMGgOIIOrkrU6ZbOnLQJ0gf9wOfhaV6FGagG26asaRUntBkHworz_1G9Pk7lTB49YBrYAmQpU1iNMuMDtAyJuUWMteWgWtMLFWs06XSO3gcrnUWbDmxhxukuB2F3YSRYkLW6ur6NQLjfxhR03T0BDmz-CsjYDDLnNhygw1nHVpI7QdhdBDVqkju0rNE_UJEFhyoNFKQTJAlFa6D-5v72zY8K4l6eoyqCDImN1RKrVLhDjPAWmELtEyYJwFKlog6qmrgJDarmm0zIzBC0q1KoA3RBv-FKuN9F0ggmALe6i540SXEBpEkYKKUNc1ukkEA4RMUZU0gzAH5RVGOsCLyZA4QB5kOdBLoBGyKzVZc4uAthamLI6ie7H3UxVXtc9xcG9owr_TOLf-27EW3wrIxemrpKoLXa49wnR3439P1DO4EklqsurmNHrF0mZaCFdxF2VQ6D-77LWo0s6rTUeWuAMzchE7TPWQ-x7QMBTVw1HrQ506jf8AbKWK1N68aQCO33wsWCrutY0BrSCTcjIUbnhW9WHtAOl08BEVp1Cahg9pEAcKWACs0EBxEk5CmLBNYE2AIblZ-k8Tf1Lmls_SBklMVWjXdUYAYE7rlyjpP06pTNaWaZ0iVi63qLunkXAjJ9lDWN_Stgw2GzuVKa8rq6Aa8kFsLnZjrxYeopllQgMAtmFxaRpudJDbnAhEel0vVCo5zIcHGxK6zkzyutgDmmYBPLlu3phPrYewOdAAtZZ5cSdV5FemzS4yRb6cSuN6d5c9YnONogA-VI3Ba7TcnaICWa06q7VpkSB-0LMkRF3-YzSbObtytqbp6jWDBBi6zjDS1oDiMg3BWg7KpEWEmbko2pSDgR3Ag3QXDtJloBHBRNOyo0VQ65jhZYtbaP8AmZm3C0ysyXOiYIvhBRpPqQDACL360h5eyJkxEBbXQcQxum8couhQbrfDwXQJjyp6jc14Y4MBtH3K1-PREepLoluOCs43GF4LgJMmOPKz5VIWzpGHbDYp9AYyZAO_5Uo6pU1ESfdQdTrBrg1thsCr1RV1QsYJBJKTIsJrOq8Zws1VmkMuLDeyyljSyppvAP8A3KRMXJOmAMXkKs1CqdTm5necI1xGlVJ1R9IwJRpRtQvOn_VwpRxmYjtXPNFaB0vGL2yrBWOCJnMYVSnEgZV-GuLjIky4rDNbKL4i0xe3KsWNGsu7rDwtxp2u0nfMfwrZoLX6myDpss3iFo1XU3gfVfPlQeg1ziBAkReUla1Ko8jyMQEZc0zbBAtKBfVDR3TPusZok5wJmAZvC1gpquY7Uxtx1OcCTe2wWNY3s8y0iYWmyNIBkQSL5Whsa8ObIgeAoC8mC2_up0IkwQJkeViiuktMgybTpvCysPT7bnv2hGofXJHPgrNKOv0zYADcrOEPIi0A-QpnZfU6jjYCJ30rc8PibxDAd-YWjWLqAGOMQTG5WbFrLUb6cBx-AkKg9xk8chUhNdjMg-BeFKVFzpuJLfIVRTTPdEQgWpUDgTf2VAANzgm6zZrNKZDjYzviFPEAODXARI42WooVXuEaQCr8QIO2cIKMDZ21qChJ-qQD5Ui64AkOLYcYi3K6fG54sx5AmYPkWC0ol4aDM5HwFm9ud9DWXPAmOZWOojV6kMAix-fZXYK0agBl2_7TsoH9QjUGyfK36Ha-DJN-StDUH6WHuGcjdYsG7pqkw0kgkZW8waS6NoINoKxemgLwWlwyLKEFpDWmBcflFNrkdtjgzlPWoXuaOFmtpFwLgCZMXUNWp3EDI5WKC1waZsARaVnBqpP0tz8ws2LFWuAvk5tusVv4oyHkzbwcqNzpelWEhoBAxEqVi79elSrDTIGk7Ss_47cWqlUkggkkjKz39baune4eYGVoaadwNQKlGikLSIdGFnFWb2EA7_hZq8btbqDwQLyApLjo2UzaYMfyr9ZvoO1PO7RuDsFdaOxsgWj2UFAQYEfZUUYS-8wBsFWLBqYhS9drPGWt2kRY-VzaKSYj5W6AAcoC8HRupQgEm4-ZUFmtgkSJGFAA86uSUFhe8BbC1XS2xOEs_YQzTpyHSfZYGd1TSfJUq_F21A9gI9rpEcCTtAXTBJ1oEyNvCzZ8WFBsTmPChHF5BBAJIVRak_UOPhOw5gtJi_8AqWfoWncWMf8AyK6iv4Kl6FqNU2DjI4VlYra1wNhbe67MfQIAuGm26qpvJAJAmVbOlkZHMk6jlcbMUugnP_gUW1wFwTa1pUmWokWgHg5S-tma4OAdKZoox2pszYWVkY5KOEwZMcKrCDuN7KM_VgDZ2bRC0sMZMDjZVsgdJG_lYAcTBAt7BN_YrT-m4kzsrGaeQ0wBBnC2kTc6XWAB3lRfeh1EE40ouke7923CGxLUahgGVi-s_TEiL3OFrVrmUw519hYHYqROJS0gi191K2VzY8g7nKCjAY0lthwpjFa6YIvM-FrGfVm1CLX-yGKsgOMGFqeNFc8h0mZGJWawo2oC3koONQmYBFsIKNMgOjOy0oHMtBJ4QjibScZhTdWnplrv2n3lTGWlpBbMR7K41BY7uH91rOla6YgbXT4530ZtGI5UQQ4HN-EDl4JuDJ3V-BHG8Y8rAnJc65F74Ro7BrNojwrEq9OlG111iHDCTJwoCe5pBggHKg4uPp8jwmT6EcbAX9lc_SwjgAZKzYYJEx3GBeAsyfE8EEudmy36OaQ2bQPKyKNM2ifIWoCbSCLjcLoz52SABffwpWk3dpgT87rKAItBuijILpNh5WdCF4iZk7KatRcLXyEZSkyL24WW3FzcA_daE3EAyBgXWd7T0hffx7KmFBnYwpiiXAZn4VgdkkAyIF1vixSufBwYVsSJvIIzKNIPqQZtZRHCpaDYBVMUY_ULEp4vis2gHCf2aZlQAQTccqbrnbrojBEKkK54BABgFZnjemYXc-MLUaCpYHcbpZb9S9Phf636sPqUgAQQcLzcmp1HxrnyZIkm8grM6iP58tmYMkHHhf058LijW6nNM2iPZIskVYzutj8LXxc2r0wQRJ23xlZrSrXWJcAdrIKsYWmJzwpV9OGmINlU-i1mhxM29srNEarbuIBIGFF-IAtLycQiAfoIJ3mCgk894AbJjIxCFs0tRrRUBLfk7IzerKakXNk0zM5KN8e9XpucHZlRpZrS91wbXARKpq03dn_StRlzpc7JEXhaUrQahkTblEtwr2STgWkEZRdO2x1WJIgys1F2MBAeHY2Sb8VdjnaPpMQl_tLc7bqTzEXEwirUDUcAC3tmbqLi1iwkm90TGHqHh1nGxzyh4xPpembXnlFZa1bSTMt8kIzrE46qsuziEc7ytuRYjUAQZtYco6Wa5riXO1xHCM5qzakkN82hSxrueLhoAMOEn_dWG16FB50ElxsckINTXAkOA8w66nnat1KH02yQ519J2VRcsBpaQAXbSjUeN11A1HgiYHKzemOU_J5HU0C2S6wGAiyYytzAJcDsjZnjuiIAj4UYaunBDrCSd0Ho0AWmASP9lMk7VpbEjQI5hXUeb1rZJuRGyavryKzC10gSTssXGLSuYAA7DhlSOvHtmr09RO4N1OTbCaQd9QLYxJXKsG1hgk3PKsmi9Et0EZ3up4sVqvAaIn2R0kPSZILmHbKz9AL3EDU6SN-FRnrveSW_Y8hBJrxFsccJRwc55sLblMXF6X_uEWmJuFjXSNLf8stBG2y1E5trANMlwvgLTnmqemCRggDZXU6jM6neYJhUx1MEG5-ylYq1I6gWkhyrUXYxt5jEArNa1togNMEiyDUGt0yDbwgR-pmmxmYQBokSYsdUoKxqIl0ECI4QE1XtaGiSALk7oIueHEgCQbo12R0NE_SZnu4Wli1CvqbJzwgq-pqEEfJKH472RtfRTc1zpFibrNPwEfqQos0h7QW3CJ-NNT_WXkaANM391pzux6ND9RGJJgSp2SqmsCC7UIOQd1Y1bE6nVw8NaTJFwVqVloo9SG6ZaNQsm0ijv1AsLm6iAeFi1pOl-ow6BmY7U1d6xspdXqPa7QdwFdRWl1np_WfYblBtfXYaN2w-JBmIWeTXxld1pLNPOb2Kwk6aA8PEaR_ZW-ukkUplrRpkNBuo301UiBABBJF9WFzs0ULgWw9t4gTuVPxZ1mdTaWyTADRIGVn1d3p5PW0f9QBdM8FYsanTzupa4sDSY88rnY7y9MEaHgC0G5KwzaNKs6m-xhuJaVYw9Tp-qMMa-NJ3yukM1aqYZ3OLmk38BaJK83q2ggmdUTYi49lys6dJ_bznMa5xuBOBwubcpHsMWOohG9Ldz5IIcAqqYJbLgbHwoKMBbUg_QZsUqYvTcA0ycqeBmsa46hAgfdNLVJ0CbyeBhNTVmEmSXdu3hRjT4FoHgIVag9zB2gmcFbxHoCoMhsu3UF2uDoc1vbiSgNJrmkttEzZdVw9hLcu5UwN07tDgZvhTM7b1ekC4giw5WvEdXfA7R4lWqyOJc0TxkbLC6i1xkwY8lSpaA7Zi0b8rK6SoSG4udkxUg9-STe0hOhqa9ukjUdUWlSmle64Lj3LP1daDUJaJd8pTRpvlx1kxOFkrW18mDEi8reMeo1zqY02xeCsZizooeAPJ2CNq06oJnPspc-ijTIBA-5WfxDUnNnSAA43mZQaXv0gQSBwt4KidESQAFjxmgxhDdWXEbjCIrTqg2BBxcKfVbG1YHucQujUFxAaYdF7hBOQ7ENGxQU6fSXEEknKyNeAO6ARhRcTcYDZtmISo58uYTkDZTApjSHQYHGUxMLMQRYZKVThwxYbCFGyvLn3aQfcKM4cPdpLS6x8XWsaLpF4MHkqi1CoGjMk2lBrYQRpEkhSnoaA5umCBOVyoWmwgt4MqaKuOmTk-VHQofptEHcIho1OnJm4KBmgsmcTKAl7S3JF8la-BKg_y7OBKkR59YkTfI-xUWVkMXnnPlGmarZpzmwCMObU0knVm0I1ric2jafCM_UyC0HunTkFEoNdBABF7kKo4vAfY244UgV1QSZFzunoXUCSN-IWpAJsARA9laGLok5AOyyCXB2c7Kji8tvlovYbqYC1_cSSQDGFtdWa-SZ7hOE1ZyUcYMB2qVLMS-iwkgnbebws4fFicGfeAmIam8Ocd_wCflXxaswiBH4WszxGin2MkGJMFUGdLiDk5lUel07iCIsB5RYtqeR3AmNpsVmxfTMadDSDpItfdZtw6U1XLTmyMlNWAADe6TXSUj6mpkF2L3Uq6RjwcCP7Lnnba7CGkQYGPJUswVmRBE8Sp4TxSg64tGxvhZqxe-LD2Wa3szpRrySNRuLQsfW5VWOBcCO1Gp22UwHBlhffhYlxON-PQpEOf23ItCOrbRLmvgxMcqDU10Mu6fjCluDR07pMdrpVVUEF2me0FZufUbaD5sLLFdY2UnTEmyTpmqOcJPBUtaK2XWDo88qaq1N0OG5HhXRdnbMH3lWDqszA3CtiMrxrABz5KzJqlLRfJ2U9DgWF49lrwSe4FwmRvdZ9oJbDLGVaGpkjn3VAc7_MxMXWWlvU0C5zBhXWQ1ayJkJRN0-17qYMz3N1mASeYhSrilOIAyAre0WpiR2wYyeFqUSr51fNuUtlHNJLc-6wJGXfum6NL0rMBmPK1WR1YaDqKz9X4qMWsDhbRzXkG_wB1PaGY3vJJ_wCVpGphLxtK3GLMWDpb3AADZdemXA2iIBUWI1GATERuFKtRvuZmy5Ik50xYQLWCkb_IhI1R8SjRwzsjMbrQrREEAiVBVxtJPiFtL4ygRMSRsFztZ-NQcXNBbE8FbnaQSMFoiP3KuhSDqHcs30Nlx2hX6HYCN5EqjneCS6cIzdTcXaRg3yi_ChxqDtv_ALrUc6V5AJxkKVqeAyoA6ZsLWWLqSHJEbQVV5HptgXbF1Ikp3iPpMndWxqM2gufe98lRb0sxhnwkYt1qZ5n_AHWk7Fzjqgi0LNWTpWQ60JGXVGgOAF0X09JkCZkjAQwxA1QJnVZaQDqIiR90ii1xAzjhGhJIMGUZNTYA42lZg0UyMFwxaF0NUa2wIPuBhZ3tdO2oWjKM6fXLQSJPKMKRJMopi6c7KWjrPAAE2WmwItMRCzRWi3SI3Wow0Nie29ltIZpABvbcKFAMgWJg8oFc7TaDCkWE1_aFdxpOJIM34S9hwIAiZ3HKn9JRcPi2SiFBi4yp3Q4dpkNMytAF8GR9SmrjnGWzMhVC3I2nymheQdr2QK5xM8WWQDAMSAFEt_ST4AObrJEHOEG0o1Ei64AyEUheRa_sVBUOgTNjlIyV4hsD7rYm92kn-yxGha76Z-V0lZpnmBe4K1u9CJN5NgrE-pEA3MCeUqkIOqBaB91A9JxBwJ4KM1YucBPKmF8LN5iRyo5m9XMFQEFrhuJVjfEJIHbcYW1K9-ppJdA3HCW4V_nP9UdSK36g8NMtFrryc7tb-R8-QWkhpACwj-f7m5IsV_U5HxK1CA0HTF91MZMQGtB8xCu_DfrqWqXSbRzhZsY42720NcIAI2-6jqtTF5O1kFbg6WiwugBIuRn_AEhSpjMQSYnTvZZVN7gbBozJ0rWCZMuMNsMJRLQ4Oa8CTvdZZzLotAqVMh05CJLt7aGsFNwtpm0Ka7HaGj2MJqVRkzLbt91qMqy0AOna4haUtyLm8YhEvUI4kO7TfwEZnYaCA4tNjyjPcvbmugC0gKY6rsIdgQk6RtoguZFg0KVLJZjbSaAw6bRuBCjU_TSxsN1AW2vlai78Sqk63QbxhSk8Y3sa4l0gQJwolk9Qf1Ha6RDv2_Yq45_lrK8Cq-C6-q4KjbK9rTB1TfJCGT0zXAMs0tvYcq4A0TFu3gqCoYS4xJaitIbu4kRtKMxrpVGt0gvvyittMNJDS4ybkIv-tEmmGQ5zh_ZI5crl6bAXVoIElpjiysb-B1FEVQddidlL208f9R6PSXRJ98LN6WPJ6rp_R0gR3CYWdUlI3IcDMX_sqw1UABUcBEjhVY29O1wcTeDdT600ts0wLblDxk6tgvpaB55WZGbNebWpar4I3G3hWQzYgaUQHX3mYlSw8Zq1M6gAJk5jC51uV59UEv05IlZsax2gkgFupQwQ10dokTccKNY50axe84Q8aaT2w2QRNrGJKGqVHNA5ixlSmsVZ37gdW1sJDWZuoB1yPJSCtIipYmYEqcpsai4eXEkGDHKzOm9aqTTUvN235Wma3UQXECJIubKsGL4eLQeRlUcaeppbcXxygk8hsgNghaiYLDp-qJcERam6BYRbCYRrpEugTOxWWm2m8NgarRlMAruDzBOnwrAjCGv06iSBhPWVNTYEmBs6MqLoBgeD4RUHu9JwIFvwgUuNTtPvK1GorRcNMyIIyiqV6zadHI7tll1jyqlZxnQ8kgYCDqDDXDm3BF4J-6DdQ6RxcC5v7QB_8lGOfjfTpaXFwEHGmVXBo9UMp4udkEA41KjXGQfdBrdcguJRn6x9U6oHNLZAPKxHVnHWijWAJOrhEer0f6iKv0wSM3WtanbW-o0UwQSXQcJWsP03Xa5puNzaSp6zWksOrWyD5O6sjKjXlrWtvr3VsO_jSyp2hpzvCzjtL01UHipIAIcBZpSsWtIktaC4NbFwOVmoJEk2GmMlZvjUS6jpmVmaWgPEkjlc7NdHj9R0pdiA8bLF4tS48utQeZEQOALrP4rusXpH1GjPd7LNhPWnV6bQAAI34VldZGug71KY1uMwtqjXpy5pN4_3WeXcRgfTJqOGmTMg_wB1xokWgF1pkXKlXsk6XQ4wTYHlTNIR2onU7YxCvjcp4GkuLQCSs31HaBJBsTwjOauwhrdIgkb-ETTCqXbw2ZDkMVZ9Qk6p2jKC7SASCAQrCGog-pDT7eF0G2mwtcA3bYWlJWouwFzCHWtv7rVTF6Z0kmREXWpF-HLNbi8vDeHBMxHU2NBiZup_rSwPpR9Uj9pKuM9udUJb3NyOZUtX_UalJpZLbgDjKw1sZGN7pIILcqVn6FcaSQHHkJG4eJpknSIKzip6HOdLcRe6sgct002mwUBcWkzDfZYoek7sjN7g7LPqw2n03uuTF4W5CtAf2B0SbXOFcxE3OLnSTCxVgNqEOcTkiyimAkGxB3vlBo9QOYbRNphEhaepuADeJCn1W-jLm2Ik8haZqtMjVBsZiywS_DvLgYu2-fCjRGg64nt25SDfqingjeSVsTA1AyZkWO6Dg1zNIP0-UFKLYMkAGVllra4HGMgKxohdDtUnOcJewjnue4w4kRkqeAkjTOYtPCgi92lwOeFaGaNHcJk8ZKjajnkX-mN-FkBztBguERutM725xh1rzeJsjWnpOIcQ0xHxZGa1MAzl2xKLDmo7BBMc_wBlixTMxYSN52XJYYuktvjflWNELdTtRII8K0Bjr9x9jyspva3cDqIBlVTkhzLH_hVPqDzL3NMRwqyxdUATDRG0KVWNw0gEmZHOFluVCo4FsRIO0IiJpluouHsZRmmc4GZA1czlCFDrA5EbrUQj-94hx5sMpoX_ANy-RPCehCbybgZlXMBNTTsUCzMk42G6lFG9287mUgAJeTAkjaFQweCNoBTPocdpGmReVc2BwQAYEgA3VkyChkxZwgXEqYGokNI4POySdLgl82DpHlJ1EVBtIJjcFILse2xH0jlbwaGPgDMngqigAcQQbzmVmpK00ahc8Bv_AIYRY9BkWtb3UAe8Ex5tOyyGL9A1GLYlPxEvVLgDGVMEnVNUuBg-6NQ1N2iLX_lZbX9Rp0gnTa3spgrYdxEwMrNai1FxEgyTklc2ouHQZvBwudU4IdAyRN5WWtVpuaTc4AgKxrWymdIBFtpIWKm9tdHqDPbJ_spbjtxr0qL9YBm54VxpWm_USJza6zRupdokR_dTZ8Ff2jnhOXcGnpXhwLAb8LPLd6alb6Rc7NtlG7Depa1wOErMNTeQ_gKSVtoEkjSSPAT6KCIBmSFdS4FR9gFvazM-MxI7gLxeJWbVhBUMmLhZ69aWDu2MgpRFx1v_ANXysiosIgA_2Wpvwc2P_tXfg50l1hKxWnQS0ETP5TGTgwN8rYz1nGDn2WRB8Oi5sp40Zj4M87FbmYyuHmDpEW2SAOdqEY5hZ-iZeQCAZ5hOhPWdMZErC_FNZtwFuIdg1EEukQrgr6hkCLH9qoVoBcYIlSC9PuB7lRpp3GfkLcFG9wuQtsWZ0P022m0pamFqtkF1rXRfWcgAunBWYmJkYbNvdZrUSeIbY2U8rQ0n2EbK7o1UySybfdagV5HuUtSkLPAJN1PXNak4AyeN1puK6r2gCOU1NQdPqN_ErPbYtdeMyrA7jYWi2VKCTYAON91qCVR8AC_ygUu7RuJWo5JudAgQ5ZrUdTqSBNiFPG1GzJH8rOseetLbiD9gVYn11SxIx8paulLhqzIF4TV2Ga7UJgFTWelA4k37bWEytaduYCXDV_8ASxpP00a4Mh2nwtMmeJbP7uFocx03OMFZFC4wYF1oK0GCInysjtZbZIGBgZ2wlDhwgbGEiqNfLRJ7lpPqjXzE28qaVQO1GMAKsqNmYJmLoKhwaLwZ3VIZsuIAwrO3TB9PTYCQpiqObqaJEDws1gwcBZwMDBWoyLCHG5vzKuiukgGDKtoAfgAyVQXXMHAWakRIlxi4Gyy6xzWwNRhXUpmE6gZgIwd7wRylESJJttCso6bg7BUHUD9lmhm3GTqK0BESBhBF7hOwsLLI7UQDxwgDnRaJurmxMK8CHWMBYsVBxAzY88qGIkQJMe6NFcCd5OYKwy5pERiTstRoXzEAW4W0-sznHBuFhTNfNpJV41lUHVE74XT-xKoDqN901PpXQTfZNUhmfMKgEinJN5sgLHmbzbZGKYOFzknClYEQDm-TZZXNc54Ate-QtdZ234OvWSMDCTPjF9Y-vrN6bpnPnUImAFnlciz1_mvVv9avUeQXEmfZeXd7dawEimYabG6I_ADjJgY3X9U18SemScC3M3Wa5009gaBpd4ypbtTdAAuGkiPIVJ00MMsyJxhC8qdk68mOSrrcrTqIZqBkLDRS7WCRaDdZ-iRZl0eIVwK9wFMkAAnblKMpcG3BvGOFlf7Z3v0Euwf-3CM3Z3DdFWMtOm29kY4Xva2U3b67Sj06qTIIaJ4EIw5r7wWgWiPKJhy4ujU6bXJ5W0NZzRBuRkLOJy8SqN1S5t_MqnGbBpEgDMeVVwS7U4DYnBKzUvRi0arxBOysYljd0wc-TcjydvCY6br0KHdBbYDnKY1HoAhzQSNS1Y48uViNVo0kggzYLHxvjy3x51em2oAJ7iLDZRqzpgc46gMRZHmyy9o1HlxgNtKPQhUF5N7WbKDqckarifMx5QPOlxtveUF3HXGj7BBpoTp7u0YMqUWpNDjeLFVttpumXREHZGbq-blzm-Urhyl3pfp3iLOJG8La8bjSY0uECQbe6w7MXWR6br9xGEpuPm-u6ltQ9kdtgFk_KVCiXEQHAkqJrZRe6m8EvI2QehRPaRPb74VajTQAEiYtnlZnSRCpTAHBJlalX6zmgMtK0kR6ii0xP1ARCy1GCv0ziLSBiZXPksjx6hFKo8E43WNVzKpiYk7W2SmhfTexicLC7pQNdRxzEXKjCzHNY8OkyPCC7tJbN-SUGKsdTwB2eAjUSeCQcEnysNlpmBEXjlBRpBhuXG2bBBt6Z7qTsTyVfeh6DKrahAaS0gZViVoMej9UfC3DUTqdqE7ImpFhI8-6hqrHBwBiCB90q_FKYBvN-eEjE9WpUw55g5PKrTVSrAAtIl2xSmtFd5DYhp1WndSDKQbc4nZbDai1xB2sIws4gCqdWgOiAjslWcXnOTsiYSmXtJmSOJRVm9QG2kAcqVviz1qmuGi7JUb1mplwDxcAmIG6wzuNvQ6WunSXOGZWsNj1qYaMZP4VZtgvcW2Bl02hHI1N4I06dJ3sjKoEOiDJxqCoo5tRrAcgb8qDM5oqCDc5yjceXWpf5kmeOVjlcdJNP073UKrnSWgrH5Vfxe303UsLQNWk-VfyaxCpUIe4_TeIG61K47lbOj6wMdGRHOVdK9E9QNBcCBNyfKTfiEp9W4vuYEWV7-jX0vVi4kgm0osb6fVsIDdJc0WvhUbGu9SHGdMQOCuVbi1OrTI0CBGwysZreMXU9IK12CJME7qU-vP6voXt1kNNgYO6xg8__wDHek1p0gOcFLHSM7-maydRM7DlYdLeg6bWyubEGMBXHLatVc1zM6TylnSy9vOeIY5p5XGurFUcXPHcC1RCuBJLTMRYoBLo0mxBClXcBjnHMX_aFC1YAOguFvzPsiOJNN0_uiIPCsFBVhomExf_ANKvTguPdYnHskRp0hrgMCLrWClJ0BsW3STvsbWkAkWJ2kWXTFWoh0jum-SVS-tLHCkGNMRF3RhdJF8Uc9vp3Mgqs2uB1PJgwb8LN6ZnK6ckR9ckXWP7Xe3MaQ4OuXHdyetaSoA0Q4Q07BZ5RGUWcZJnbyuYSq5zmyRN7xhajcMWm5sSTsrjWotcfUGgkQbhDWkXdqvOfZCkqTr1aoE3C51SU3EOgug7FIL1Kul7dhCUUY6MXlQORaYAGCSVhZcTc4F47gQP3AIumFWIm_mUDsqRv8xlUPMjEXEFTMVr6Or2gEw44JwUZ-NxOwggicqWfWXOZ2g6ojfhZNSpmHYLvIVixsaOyS6VppziWkZ0g7KZdZok6QZEvO4VaP0rpnuAiLFZvYux4Jm958SkgV7tJkb7TZaE2u7w4nGFKC9suMH5KQK52lwbBn-FlKVzyxwN598rOKek9mi43wmpQeXPkhuloJutIGqLYHIRpZkgRkIkvbTSqFo-q2QPKuKo6ScfUJss46RSkQ2B4XOxFJAJI-k7lTBNrdQEmTEFVYZrQbxpJsDCmtdGLi24B7MafyqzVWODm2BbIvZCf2yuOkSRY7IXPjNVINxZSow1RqDtgst7iDgHGJKG6Sp3WvO11lmpPEh0Nkg7bKxCjVrgk-_ldN0M4NgAiAfiFkSLpbawnhIGA0iTeMLoM73wDpJBwsg-obibbqwEv03kG11Q9NwLJaZlSh6ZiRCsD-pNhfxOVPpsjmviYsnia0UKfqvMkwCIK3xm9n5LnpXNbIEtz5CuHqBBabe5JWTVKVQ6bx_-j_dDWik4PcMuaRJC18VRzzrtOrMcozVGvJbJ4wjNl-NVBxLmn7CVmtR6Aq6QA4yDsPysNOdGxtkTcLWBH6ntH-kbKUD1LGMgYKuBPWg7QcysXpsbtbAuRs4qeL8VpONzb2iFFilKqY3M2hc-bVaWSYcLEZE4XMjQXEMuQB5WarqNTU6Zl_gKVZn1rYdVyICyS2LtqQ2CbLPxvbOmrp3SSNUXvCjpK9Gg8uGoEEI7NNF3qOHtsiPQpVJFo-91z-pVQDosLzJtcrVI0UjoeRgkzdYsblbKTzDZJsU-NbqrHyCN_OFk-jTGiLkBI01h3aSARwrkDB1iIObLVxL2LhIJiL8LXxJfjNVOkRdpJtZYaQaAXmVnOxcPDGwJBb5QCm0kl0plFGgNPM7rWYKGNNiCgm0HWZuPCng7UZABv7YUWm1Sw73yrUZ3XdbPlZGYS2IECeUz40oCHXkjxlWRlapVFMAAweJWvBne8mQCbxbkqXBJ7nckgbLIOoEC_uVc1pdgAgnPKZjKzWgx-FuIQuIffZc2vijSYEHO_K1Ki1MAHCvgqHYJOq-EFRVkxEldIHDtUm5Vc6JB03CJCObqnYJe3T_ET3Ei48rN6XtEMmRJCyBSaA6Zm91RpbZpaNjYpvTG4R5BIbPcVeLalyMXFlpzscy31Qi2qTptAg7oym46J2PMLN76dI5lwDf3UNF15N2-OVqJvx2oECJniVWkXOJBGClQADiJbwkTPpXGL3b5RY6nIeThFWbYA4I5WUrQyCYA2WvHMlZw1bx4wsUjmuDmgAg-FP8AGnBwDxpuJ2K0mLNBLTe6G7TNM-3hGVJ4MlCm1emTIV0dqBkjj7qYKujRG8IEDpMAmVegly0bEFUOxwbve6n0M0yfZUaGkOE_lZ0K1xY68EFBp9UREArRVWDUQr6ypABMfKuLD6jCutLiCzcFYvbI06ZaO6VNTTSJgW8KodjYB_dN0aqnpm14H8ojtALpEErcia4tLbT9komXBpIJJusOnHwWx7nhaha4Em__AIFLWCuJcYAtG6nf0Sa6HfHKdrgiCdTTMK78QD3EHZQUpgEYW-IJAJuLcytZBJzPdwO6l6ClsDaOVjRNzpJBsM4WraEc6eWhc6I1HajfY7qNA9wIIiCgRpFsWWboRxjA82zlMCVasGdjyVoZWuJdebnKzRVrC0k3mTdRlcS2N4vld_gV77wI4iFBzW9sj2Tq1mouB-OTutKDmk5BM8K_FBtid1hnNO0zMCfCjFHSCdxbfZVePqbiRN8pjdM13YJAI2lI5PD_AKlqx0Dge0kWus87M7jpw9fCVgQWAE6uQV55k8duXqE6SRLc7q6y_n4xsAnnZf1B8OpTcC4MJss5rFh3DS2Df2KM3CthrzByNlqNRUSHDtkOHyiWLMk9wseHIk69VaS4SYn8KY6aJzpOYkQo1GZ79BLdV8lANWoCO7mdkGSs_UdJAtgLNEqrC6ARIGVEPTbpaADZGJL-TRSBABEZyo7LSXDu5tC2lVaTAbIt9Vk8BDi2Y-nyqjgJbc7ohQ4yWhQO0EsGoi5yEBAILTAHKqWKNAcRBBaVNcuWSL03mmQGfSFvNZ43HodNVL-4gSLKWY9Eu9vSpOAgGzSIsolLUaIsbj-VKnDp5defWBB7f4WWu2bqWa3A7DBRz5sDjoEEXBmyNzqM9RxaREgIpmtaNJGJkxwgf1AXanA-SsjVSgxsoLU3O1t4Fjayp9bqdgIF_dXGsVbaDqEeAkKYEE9rptYrWsZ-U7UpuLATFjmdlHPnxnFpFWOmiSCLmb3Rrhembrarn0S5rm2ET5Rvfx7r5jqHmrUJsA2x2kox-W0enedLRk_2WW2umGgE_iUWN_TPbDSZmN0abWt_y5kWQSc4nJ-4WYxWdwdMC28rbWpVA6A0dwOeVlNYao9MOAIA2WPy1Y8GtqY92qC2cbrFrZqb4iTILcBc0ohhcBEnT5wniA1mlsNgEm5V1YUAmoQSbqI0O7gRHYCiyayVQWvcxoHuVKuVJ0td4WWwAa4m3aEDUobOmQTueVZBuoOcC4HSY3VG6g52g3vsrGbVHg1DHwm1gS0gQ3iy0FqNJJO4vATV1zC7dwARd-NFiwA5OFFEjXAG-42WpUWa7Xp0tgAKK11voJJAAhBie5zHEzIO6AtJMuI2sJQkI58gl0g8gp9bg-pOSJnCNJ1KuoxABkEmUxhV9T1GARlZdONScGgkElvsjX5RlNTS0OGx3KzXK3Wnpeoc57QYAO6sR6PSE03dxBbkeVRtYZeCckyrCtj6fqAAANMySSmMq0qgp7CPCoqKYrDtF8xNkazGN1HS4gGADdKMnVUgDLbuvK5V24vOc8uAacm0lcsaV6eq6bu1DHsg1GqdBMb3Byukcvqfrljg9ptwdlJcHq_p_VCq44AAhblGqtrp6TpEEpQ9BxD3uk4xwola6FZxeSRJ1SALytRW1vUkuaQ6XARxHhZyfWuKw6l5dYNDcnkp-M-N3xWhXDGGAYm0mVjMZnJY1-1sQXTkhZX1h6tzXEN1NnBthZrceV1B0vBEwDGMrOLlqbWOa-xGk5CYlmAQXAzETiFE8YKzS6ZMDjwsWfXaVjqMDRZo1HnZcq0kCYxNsqImx51xMGRspSqt0gzuPCYC4wIAj3UALyBAGRxhIC1ssbIsOVoOHuDw4AcHytSDZSf6gJmDEFbyBqdQUjBIMG3KqW_G3pKo0AapdFkXems1TAHiIKsc7bK1U3lw7jMD7eF0hqjANQ1HunAQV9NjoBJFsDdREoJxghYytTjfVKbI7SbzkpjpIl1QiQIngbq2L9ZnkuEFvtdcsWhrhv45QJq1kOn2RSEhruN5QxT1v8sHIRUX9SXPJ02O642JhgDM2E3jdJeirAhoEWtg3lWVFKcGBt42VWGc_U2BaDMJjRQ8h5kS7ysWodjhLZuOVN1qAHXGq7Ysh9XLpInYhF1foHubUI7ZMm6lSvV6cGdQE2umdOar2FzTmItCzlgzFsAabncgKxqLtJAAm4sDst61pw86g7M7q6p3GCO6RGUoDXFo0yL39ljBWm4sGZur2HcC1pI7gdkEXywuESIFxv4WsFAXEEzchZCVWyHO5MGEEnnSIEOJP5WKlCkQ7Vs4crOIoXSPqJ8K-riVOXVLWbuliqtdpc4Fu4Hut4mNNF-kgj7FVV7jw11z4WK1vitEGSAYHtlcrVVdUBJabgYWBJ9RriHETHndWLC06pIM_BOVauqPvaP9_lZTTCoKQaJJHhVArF2kgntzhPFZHgtaDIB3lX1GOq7VqBsOeUsajK_tN_qIgFTNXMRLpGQAmMpufAEE33UZLqIk3JNpRRkloMRE5Wwre4QSD8KfQtRx0kccLRuEJhxnMWKsT2hdzYFhO6rRyz90b_PlTUOQAG3tsspRJM4BtvutRlwOrIh2IGylZqrYdJItghRqNPS1Sx17zsAunHoeg2Il893GFvU1DqKUmwDiLqZqoaXAiwnxupmGK06xp5nEwiyYqDr7sCMjdEvZmvLQTpA-UTGvp6pJBiQcxss1Z69Cm5xImD7FHVW14JlvhE1OdGyIQyXy7HmyCRsYB3tKxe11P1CSRbUd5URZjoMyT_ZS9tLteLQMC8LlXSNNCqGttAG4KlaWa_WS4fTws4LUWnAHlYqxYPaTJmRbKxnaGZXI0xDj5R0nXTZQqmZgRujpHqMcBSBElu4CxY6tdGr3EgmFm1ht6V2cAKK2Me4t5EJPRWn_AJYt_Kl9deLRScdJvdZra7KmPfBUFGG2xjlGa0MIJuTAFgrDDsqScrRh9UWHurioVO5pJsDwsqzudeJ22ws0O2QMyrBWm47kADndN7FIg8Kji77hAzbNkXKBS61tslZtg6QXjEclZgjVAaNJBvla6gjF5AsoC0lncczwt4BWJcRAMLAm8OmRcTdBNxMTv4QNSkC4sg0yC0C_IsqHa4NeZsJsEAJl5ANpToFgNMmBMFXMgq15dAIA91fRRrMRlZgcmN8ZXQUo1A64zG4W9Z-qa5cFe2fDkadokbKNS6g8SYGPGfhc60ziBJabnlIALGDJn-VpmzVw-KYsGkCI5UzSTENcEQLyi5q9OXAcyts-9HLrBsXWeTNmKMaXNkWWoidWBBhZqgCC1x2Chgh4c4xYrUanH6mYk5VbT1aTEzPKJa5wDTk3Q9ASTd1hn2RfD4cMce6Cre4mwHuiW4swQwxA8lZt3pz9SLZJPKiOAcGgGI_KY2pTGmTvsh-SoeWgWuc-6rDg7UcAeZ3Wf_l0kEVLZwtJZh2khp4AWqwcE6bWgbBZXMFxBABMmLQiJm4gWKBi-wJPj3VoU1O04EFZWTT0ngjlPq2Y0tOmPKrIueRAjtQUbYjhEqzXCYFhKs9TF6XdJO-y39XFmW90nrS9N2fdKwJdJggnhSYKAdsFLgq0A2kgfykHOA0xfNpKuYAHGRjG61KGDRBdpvCtmJ9ZiCQYwDJXPp0tUgmU39M7pS7AVQrriQcKUiD4us_WzUjf_tWkpw6WwcJjJmjSSJKsHPMHePfdbok7tE48ErHoQv2n_lTAjngNOCRZKJz3fwFFwpcCTa5U1cqVUi9jIUEtTgSFKC0hvddBKo-QfyoJaZgWlLAzXFkDjYJBUGW6Y-V0vUZroJzgKb0xtMHS0iNJmU0n7L6faDk7rr8bIQRYn5UCtBF8bLKU4IF1E_H6BbYEGFtcK50MIAlEqbQS0EcpvTNfKf1p1Ba1jfuuH8vddONyPkKhLu4lcoMpc9pgBseXGVR-BmVCbSYOCv6g-JPMNtebYSA6QTY2A3WsZs0GAyDGkTlMJK10nBgbgckrONAKgL4EXPc4qpirXC5LtTfClpC1XSCd-VlUKvdV_aNkT66cgGYySib2zkAtc22pZqy9p7lsEWm5Uac6SwSfZStK0qupukGEg0tqWAtPhbSqWdBw4KsrNIJcXY2hB2posZJlEpXNM2gKVoJfIEx7BSCtMFgIc-2cLSOaDTLog7wrIzbPqzakgS37LWOMx6HSlohwEe-Fi3K9EaqNZobpvKmtf40VHD0mgGCfCl7c-O_WKuNT5HbdR0jPVpEw2RpuSEY5TXldQA0wXEzeRwjSAcA76pI3KILSAItq3PKA-nxEi98JYq9Kwj1BPCym419OQLi97osbaQmDk3wtNOb3D9qG_s7B3EAX3ujC9G_sRlGefmVqZSZOpwLhlDj4wdX0-mqRB0ccJ4t4a-e6pnp1oklpOTyssfjjmsJADY7RdT2urTSs9oNlXK8srdRgOIguQ3a9SkwineCZiCo7o9W4Nff_AMsq58_E3MLtLwdsIzxl9QeDpa4iLWCzy8bed1p1UxME8i0LlPVjwa9JzSJmTMK8nQlIFpN4O8rOZ2NFLTTa6QZ9lmmE1kuMg3wozievTYS0kQEFmjS25Hi6LE-oEHuwbo6MzYeTsMfKlHMdF7x7JAwJaSRIBxKo0UnuBiwBtMIl8epRDiNQgRm2Uc1i2XBzSLWhNwM5wInVhBOoG4nz7IJAaXkaToSC7JLHC_yVtdV1aRAIxuVRood9iYAWVXru0sc7mwT1Xn1Ja_SSOZyqHpmC86g6d1nXaTZqVZ7SYyd0jNsR9TREOG-N1WU3ul7RIEXlE1rpODQHmZ4RUKlU1HOPbEqUxMsDiyIg5UbnFr6Oj_mMtiywfjXpEhhJId2wFqMqN6xjiXQTwtM_XpNqBzRpEnceFUqrnMqTAh-ZGCgbp_8AKEus4lHWnr1GNp_STAypWY893cBAFtlzrU5TMYa9JpEzJ3AWPxrX5IMa6mBcidiEN1ZhLhk8OlGSHqAabg6JmAnrLZ0RFO5c0TiNk1vNesCKh7nat-FqWH4qFlOmZ0uvuDK14zgs6jTXGQFm0jT0_UNDmiC7JAwkrpxbnND7yInBMrcTl6DarqMCwbxlY-stbH6m6RAJMknhYrpGDrj6NQn9vA3XNphqVXGdI1CbTsjeuvTZqJE6rwibpw0ljTacjlZqfWXqaYqA3Ei6dOnGxjfS1WJERdYvbesr2Rlp9lnMiayvEVAR3RtwuYdjcRaNkoBAg4g5QUa9zW20phioNmmwA5SRU3OIMCImfhbg19M9tRwOq4thbkX6d7ZvqmDiMo58vWmkdDRBFzE7q-ufbW12rTInzKrLX072sEvMkZdC1GvWpjhUeATpB_K2qjRciPuVlf6UFNtTtAIflGrywHtDWaACYsIyEbnLWeu_tgjaFL4tY3EaJB7xwuSOsRqIJ52WY2RsgnU0GcFuVKRMw3uExyn1aYuNSXNII5IhKkTdcSQNHAMXXNVaT4BJA-eEkFJ2NzkWwExMNScKdTgRMKxYpAP-kWkEJVKwEgF1_dZrKjjA0xbJjdZWJmqQd52kJmtVodVNyQJiJTMU_TVCKwJsAYPlKle8ww2QAANjutzxiGY6MC8WupWgmCDMHdc0oh12gtPiEiavLrGbzBthX6sDVqlwMtiIhVsrhAMZH5KC1GdIJx4QM8y08eSrIJkDSABfjKXpNTbUMtbyblTdNVOl7gAYnEf3RUKhOSZ4WbWaFwD3CZlSEK91gZxaFtoBLiGk2G3JWBYmSRwJmcLUFOmmD3BxGFqDTdwAMWF1OUgtTki9hMzOFxsag1KtrWn8rOH1IvB2nmSmKdrhpDmi5tCyLuaS2LuA52VwSAAtgSl6Bc7sc50mMBXNGR7w9xgG53MLnciM1dmoyIHICu_pWR-YdIPK1reoOaTpAmQTciAqwOu0EROYXOmaQjugnt2VhhHG1zhbw0uo28layGue3XIBweUCvpnSZbi6p9dTYNAvN7qap3VA1-CNsZRi0hqWEymJVqbhUbiAN0IJYRaZJjCrNNq0E3g-UWLdNUDXQc8LpPFenTrAjEeJUZxxJc6Q8CBxutNMrnGxByIlTAW6YGrzeFlk9KA25BFiQNkXV7OBkeZlVVqYtAxbdQa6TnGARP8A3Iu1cOkX2UqbpoPdhxIUTQuCQ7ff_wA_8spGtZ6lQM7QcFX1uJA6rRdYpV2u0_VERup0jmENMk7yYKxW410XYAMAmZK511XolzfA-6z2NLKmkWMwoAahzq8alMDsrNdAJwpYsbOmcWiIkDkqY7R6vTvAB_b4XOrnJv6dwGBAnlZabemf3RtlVWv1CSQLDCLFmOkwQRGSd1K1FmuOkDaVz-teNlMamgTeVO9aipMERnlVVBUAEk2lS-9JFJm4IMjC1OxWNWbEDCsVJ4gGJv8AZTl4MrgZMwSsUD1NOLeygdtQmQY_-IVk0a6ZJbpO6uji2Jss6GpnUL29t1qeJfRcBMiAPIWapbNcSTAPIVwQqO1NgAlTWknSHR_4EZEucJJM2uFrcCW1AiCFkc98AAiEEnAGDgoA0gHScHhUaqbxoj7LQo18yXRZYAL-THgBB2ru5JyVQ7H6jtIVnouw6RIMkq3oK9-o6QVqDqdUMlqbg00XS-0Tmy6ztzqrn6QJwpiRnqODhq_HCxZrqiSFAGuvlZ3ARDXTB-VqIXUAbSgpSqWAytn9tABIIESVLrN7MyQLyY3ULxLUcBYT5JWazCtcTYER7KkB7hGLytR11Oq50GTH90rPoAam5-FYuG0TTB_uhQYyHRGRlC1YN0nMc2RQcdLjws31j13qOeDNh_KJueOZU7haxEKJexfU05E8CVXSeAKhdkSeFL2zjQ1zRabbraZnoB4Jt7LHjWiHl7iBn2UX1Uu0iMlat-MSCxx-CLolF5BPaZ8hZ_swA46tz5Ksur4LoORHCERqOEkAT7JGr1NUokE2xv7qua7X3sUFqZLibx7oKg774RVKdiAFuGNNKSZI-VaNG48pWKqztELPocEH3yrgIqTexKyHDzN4jcLcHWMSsh2AHuxA3VlxHElxDskFb0I5o91iqTWQYHtCDokXkFQRe6J3dyrVkI4zgqNOovAcQn1Kq54HbEq78TCtM2mComO1Am60JPfOrZTMEybn4uFfQr7uMpQpOm-SsukRNU_m6pqZqBzhAnys1kC4SI7fHC5ib3kibrWGEkDFvOyWhtYtBkjhQc4g3GVQx7Q4mwVjNO1xIE73laO3OO2_2RmSupvIwYS3WheQQfbBVgm5oDZH2UrHlBjZdNx4U8WXRNgb39rLe7Wk3SW2IUc6BAAm0DhajL4X-uesA6pjdrErjzvbrPHyrHFxBddq5KbU3cge6D8AU26HNnHuv6f8fEqgEbmTiArL0a5jiBcz8LWuemadT2_-BTTVe4m8Qfwo6CAQ0mZtYlagLA_mB4H3UuMxSoNQsSY5WGmbUZkiTwEE6lR7ajhMtd-Ecb1WVxLHguBgmJJWa4y9qteS4CC6ThR74oQ1zQIuMICG6DEAgeUFqRHIb4ViVVjm1DE-JWmXFpaGibIHaZN_ygbY5ngooBxEnHIjIUpgMcJIgOkftSF6VpOa83aR5XTM7Zv_AOy0aTdrojKax-J2VnaSA4xMaQufL1nb49Bj_THcdJzJWXb_AFYvDhIgtjndDSt0vGoD3KDJ1LyXTqsPGESvLrHXqgz_ANwRi8suMrw7Va-qy1GLfqlOWmMb3UduN2dtDIAu2JwFFGmxzXAwDtayyRroUznVcbIsaGOcHBot7LTTSwaSRMOOyAGmNVzZ20oytTc5sg7W7VpNk7rdQqH0yPrsFlznLKevTZVmCNXlK6Tt8v8ArfT6epLgJ8BZs6KxUmkukTJWZ10NNPu0guxkKs3jr1OmLcOidiq1Jjf-yf28-Ub1g6kaXHU7bBR5v5O6p0_eyxOL3UdePiVRhY_SDM7cJZpaxdTT1yGkFZvHGpdeL1jHMdj4KzI6MTwWSQMqWqoKhaLdzTlYpumaxriZkGbLIHpQTczwiWOY2HAi3siQz6eom4fIzwFG2apT0yBsPumqkWkZnTCoamdJOYjlZo1UancBN53urBvoVIdIkqudmKOFzILd7Ih2Oc5rgZMC0LUahCXOkzJvYLNSuadTQLgk_ZSIpSn1YyceCunixVwNQwIxElRo9Ko4nSBqMJiTNay4OoRqm0ynjeMDjJkyBExyrtqokua4XgO2UW8sKXYJERvyoyzV3kuAiCNgqDRBeRBg2yi_i0BxDQ03PKLjm0C9zXE9wM3siTj2b0mgxuDN1h3jRT6llOrYkoK1ur1MImRzKmpmsP8AjDRAFx4lNc7Hs_pnW697DeVU_Fsf-ospvBkTiNlUbunqurskGZNgeFVaXw5oBeJ_0q4jF1NHUXaTi_8A9rlyiPOqscHE2ur8ajJU1PdIseFmqd4dTg6tMzY7qfBF9M0iSbtNyolW6Z9Si1sWBMEndStyV6lN9R7RUIseVF7jQzq3EACJ4WttYUZUAmSQDfGU78GulFgKgbxOSp41K20x6lhLZwR_K3x5WpVsMvDg0_JVqZWukLghzfGndc66TxKrQMtLrnVJCmNaz1aAc5sN0knCzWtZSKgc5v0jaVnEwC19gZLjYnwmIhVlrZczxZVWPqW3nTLf9Phc76ayVLNiwjBlRqIhhbJLSYKxXQxMgtBAtN1nBN4AeAGyEWhUIMNFiDAhIivTub9LvqGAVvGtriwFxMlqZUymZqBLgNMW9_K1KNbXA2LZncLWM_iuyNI0jfZMS8Wvp2gjTEEn9y1h-LU1umATc8KrI1Umao2H-p2yH4tIpB3dIMDIRmlbVNMgSDNy7kKMtVJ7S51gDEXyP_OVUrBVZ6NR0Q5ptfdZdONQADzpgBrrAhZvTqlUaANAAjBKxRFzgxxgmItbdRsHkEBuqHEYAUoLSRS1CHQYA4UZ-s1RxLnTcg3cd1iqLalyAbEcrStLajtUOcIwJ3WfQ7DPcMzGFoWkw622yyJl5cJi3KZqRenU1sMhsgWlTGonU_yyDN-YspVFrvYA75lQVpOvc6rwTCJXr9N1AAAmQLBajDcHBzZsADGFo0oM6rCxiVyvoEzH-oKYjSHh5iCRtC140Wo46hcQBYBTViZJLo0gQM7K-tLUqgDdiPK0nR3yfpU1NSnYuMcgXUSpucQ6QD7AoyM6dje0o3qdQim2Q5pBFgs274zS0qgB784JO6viwSJJAMOjdVSANDw0SDnUs3Q7TNNpzyokvbVSINKG2dA-F0lbaaRJlpJHLosVmixBAlyybhA4EEhstG_BSmkfYDgmVlqHHa0OFnBTpVWVnSATM3IVDuLXkmxbi5UzQlQGLAEQmYMjxFgDJ4XOzexKqSGQLD2wswY3y0S50E8hUQLg6C4x_daES8XBN9iVkI-poYJMXyFqQO02AJsTlbCOcSCf3DlUxxMjyPKYl6ICZIg3-YQ0zXbHZC0RDrZ_sjF7IIBF7oirGwSdWQixQjsBxwiuB1ECRxdGQa_vI1SQtTpqNjHQAYJcLwtjTT6jtAkEnj-60FeHRgEbpQjQLhtydwuaem1Ak2-Cima9xccStDVTIgEmf7q2DZTdo0zEk2m6xYKa3B86rlQUbUESQScWVwI53fP0jglFhKjPUgwL3BAWa0jBAjJOFi0MHTaYItHKwHbVFt9wYUaizKjtWJ9lzsdY2sJ0zMzYRdZtxRp1C7U6YHgrLJmu7C7T7cqtCexxdMxsoNnTOudoOSpY6S49fp36g38rm7evTa6GgC4N1zo9Dp9IaLZv7LSql7gTGDhRpdlUm2qD5Uvg1UKgcQCf-Fj41O21kgT8LM7dFTFMNvfgrdmQTpvPMzyuQ0sJfAkE5jhb1n6sHum4urqkqPJcJiOIV9gg-DJGMLCpGJAIJ2lNgpTZe0LJWsOhsTJ3hWhSRkGNlgVpAExqutxBcIgfVJiFc0jhcXFhyrbnSoxOPeDwuS6Q0zk2IW0TeSMXG8K-CQeZuI4a7ZQI6odQBHyno7XDCZwrgVlQGwgkbrIq0gC5lBTXqaN94xCoAe7VIMRsgdpm8zbZWCmkHElUAuIdBmB8LPYaQXE7Hbha0I8d04EqzwbunBiZC3xYsVJsLXO66MfU6hsCYtsFzrpEHDUMfcLNaT1nVAxiVJNFQdYtkBUK4wLxKgr0zQ4i1xZbiNgAuTYrVCPc7SBq34WbEtSc6CJM8-FzZgAkCxkIEJNybBGyuE6TJAVlUBIAgm_ha1Fmt0iMrUAcQTZEkUc8_wD2jQOOoCymM3-h0ANM2JUjHZYuROIVxuTpz4NwR9lL00AqBub-yZ0C58SRhLWfTUj3QbNNiVP6RUO0mZtsnSSqtcX5wjP-G1QBbHCo5zy0XblZv9NxMPuQRPCRL27WXfutuCqSXSAk5tZWRt1N3fAv8qJkamEudBvfM4VYqrXllgURrokPaLykVoFMt-ButrDs1SMQeEStlMQRaw3VYMb4G2ygUmwELNpBBjP5SVV2nVebroguBm4hBxJaAJWaC20kGZTQj6kZIyhgATc3HsoFcBIgFGog8mTdGoQuNucEBTVMxuoRN1YzaPkWHlWoR7jqgH5TFG8GTCsYqVRxERfeUrTiZxIJSMg6SJhKJvdDZNystalvMwClpai9wLrC20bIOeBESGzgrIk9wAkAFT0B5zBvuolBh1Ymy16pg8B3CtgIqEkgEx5UHDUTBlX0pnE6TI3S-MwtMmbbbJGqrrBNvmVdxkc3BhXdjHICFGYm4wb9oVdMI4gTER7qMWVLVIMkxsEZf51_WtNzf1Z14aQMDdefldrv8eGAWzt7XlEcQbWLvhB-BKhkCDblf06PiLTUnk2O2EYqsCb9o5C1GJ04kaWxOd0bk1amCSAWxuq6yHLBscKNGB031WjClvTOA_TZzXwCLys6uImuw1DaLKs_lNTqvAZyTyhZKyup6wJmcrFZ4_xydhJEgXPsEdFH1tBjxui6DKxBmwm0AyiLB2gGSScwV0lceVuuoVC18SBK31U48l3OJcANVslTHY3qhl3OInlMQfXDyYknwVMNM5xLRlpxMpjUBskxg7HlY8SxekdL7wTuCts3qKvPqEBt_DSjGixhaJM6gdyudXjPrRVry8xBabRsonLnPyaul6prgGRfeDhGuPKXxYEFva3tGdKN5GDqzrEF0A7BHHnfkeRUc6m52YmxRy_1HW4Y3MgrUWXVKdTtjLpucGFNeiNdEkkEEmFmquwB74kBQaKYLWmGk3t5VwXaMloF8wLqtyKyWg7k2lBVpa52l31BGNOGtp_tBAzYInLuNPTva0SA2OMlE48c9aaYNWSCQCd0bzHgf1OCWB7MzBKI8KlVMtBJHws2b2uNzHTAIkf6goj0KFT_ACyA7G6Db07iQAbN3MzdFR6-lpcHSPgflWTXP-Saj09awh28WVxynKxrqUhVph0mQbpjvn5MraYDxJAAuSlXjxx5n6r04BP-oGQuN_UdHj1aWhr-QcLOZ2us_pO9Qh1gb5SjS1g7XRB3WGolWqBpnUL4KhY6mIc25uY7QizqC6qA2cwIFlBOrLiCJA8oJVCTmw_ClAa8OdpuCSrBpAdpuCCMGE-q2dPawNtyqzY0NI1hrhARhd8FmimSB-4KxEI06iNQhQKw6vPuo1I00C2G203st261i3ZESNQOyqFpQDIOmNxuojSW_WQTYfZGpe2KudJcJJ2wrroh6n-XBJkGASs29rIiXEOudvuqzIiahqEbEYUjpi9IAC19tRRYswu0CAAc6VFwwJbTJIMhaMYavUu1kOMSudC06pFQd0qWq2MeaogCHG0qeoz9RTdqLiSBieU3Gcep-kPDKZBHd4PhWVqdF6qtUp1w28G61XCvZ_TOqeAGkTaQqj2aT2vGZJvZaixnqvIc6J85WcPGSuGvc0Y8rF9GGpR1SQ4QDwpVgOIcBMGBZTHWcUnP0t0klzXbnZQyGp1stIHp7ErKvR6aqdEE7bKamNDacRAILsrpHM7mk6r9sAC1vhT6HZUNN2oAABtidipTWujXLh6nc3yMJLjXr0GvL3GCJibLpuxZxv7b-mdrDSCb7GwCxZ201NBJA_8A3jsFPPRCqWObp1NEAyYTN7EKnSu9IExNis4u_ETQLX2vIystJPoNgz3g-bIuM1WhTLMaTws1ix5lSlEgNk8HZZqxiqNJe4a7utdMdJfjidFnDIiVmxuhrax5nJthYpXaRLnbbjlZQhaQ4EGJXSNme_TABJ9wuo6nUBeWkg6uFga6YLAL6RO110lZ9Wp1XUxEx_ZUbumrhzokPl2TshjWyaryCWsjAG6DQNTBJcQQIthGbcUp1nGZMHBkbIxaWAXsIdiyIq2sWuj6TNiN1VvY9Z_mGG3IuTwsVqRha_0ahBN_9azfXZCq9zTLnkjZZqFc8EBw-yy0Qu7hqOm-FA2pxBAEK_Gak6mSHRYzeVztxpOmAHCDfaVNVqpFpOnUJzIKsF9QpjknEqhgexoB5naFOxImKjWz2xgFXwVpyWgkOncqVYeNV5twsVUxVFLn4TxK4O1yfOJWUbenqWF4hNzuM163Su9QG5mV0nYqJJcfyrZrTtxeTZSSQWpu0l2k678LXVQlR41wD8T_AAsfjFdGqwickzEKeI0UtBv8eSoov1EmAZQTIc3BIETcolTcADgkH9yMl9RrdO8ncLAJ0vbNoiPYqiREtJmYCgRjHAmdQi8-FrW1PUGkHjwsoYi5DYAyqyvQqBmo588LTpGqk_eZ8FLZirepqIEiI3WFASRYwET6Ss3TiABgKVuGYSckicrKKF4ZBBDRsU1qA51hGTkxlai12ogZunxhmrPMGDIKz40hIex8jFweVzxGOu8l7pMtjAUzBlrVO5ozb9q1E0g7iZttdXNHGLd0iYWortWkxfiFQHO0XsQNsyoEkHUBE-Cq56QvvAkO8IHpMeTJOqEQztRZAEexUWFB0ySTwJuqijagjImIQMX9sTc8hIEy4Q4jyrWj0wWnOd8JBqZULGg5It8LoK06uoktbcIKera9pVQXE20uAPsp_ajTLYFr8p_aQ7bEEjV8oq9I6XAZGLrVG1rXQS1wdI4v91n0U9QFsT73UpFWFrm9sNkqBKjbAAmeFqtROXQRBgYuueKk8EubBiNlzsBcRLYNsSOVm9AsaGmS60H4U_saabw5k_T7brFduLQNWkBtibAnZZ9aOCSCQICDnPIcA0lwO8KeirHg3sYyrIsaaRbTkh2oDIndc-VV6nR1OwCZBGSsukr06BLy0kCALSud9dHo03EtBETwEaizHd2m4tyirsM5_wBlgaaZinIvfZSemt1CoXxOoRzupG9WqG0gj3Vt6a1OkdJAkLn6rSDczaBlbkRRlbWbgaYymGOdUOmxxsFL0YQs1Nm5vdYEnZIHlVVabz2gGY8JgvJJiIVyIVzSI7vMFYxVaBBADjpB3haniYuQNQMyBskVzxJlwAgcq0RZJcbAEWsszoSquI-q3lbGV7hEmfdLY0AcNRnfKn9JqLqgJMTMqIk9zmgEk2x91oOy-4dKw00U3aSOeFWTTrMWnytUKO06QRB2GVz26pw4yLLfiHbVm0G9kDQdOZKDh3RykgMm8H4Co10KkEi11rj4laT3iN_C6fHPEajDHJWa3Ki8El1w2FGk40zBCwGa8x5WqAWg6iL-Cp2LU8ACAdr4Vg106pBBvfZdYGeQZMnlZozuMBxnVK5_UxNpLp2CM2fp0SDfCs6aISdMggXWYl1IvB7ZiTMAp4sUFdwi--ZW5QS8OEkmRhaBD5dGbbIpmj0yZn7oGdq0ySspQeS-8AR-UrMCSSbzGymtpvlhJwJW_A4JcPIuPH-6xUqgcSLg6eUYxVp1GBtwVrE8VbNh_HKhBBu4OMrP0pal6l9iq1CEnYqY1hbkQHXVDB-qxJlW1RaeQJ2PKmpWilBMYKrna0NbkxEcpiNFGKZBAn2VX41hxn35V1FqJ2NzsrqetLHHTEz4hb-IDqgDh7QQsLgB_ssLmACZ3F0FQTGbc8JKKNecbHla1g4AEOgyrVKXg-FBN7g4wApVhA6LGwU0qbqkAf7rRCvJMRvss1ojDe5APCIZju4x-FuFUcTpgGFOTMROTeIRdI-ta58SmmJOqwS0G2FNPFpGkQZsunxCPdM34gLNWIVHOEkiFm9qm7BE2iyglqK1oVz5E7brPgR7iXaRERdAms4vPupqCx7g0XWooGqGgz8qXkKMeCBBEeysm9hiYcCZmVcZrqjtRibJsWHBaBbdNSg0Tufso53VKboGmdRW5ASYnV-FLMbkTc8BwhtoyVYAYcZssjNWaTfIJyVYxj4z-t-jIdQ6jixndcecx047nb5Np0uJM6SZwuc8WiXlpN2gZuVUfgdrQRewxK_p_wDj4nHGmGgFllrE_GV1MuAmA6BsrhZFqdIPY3VYTdZ8WTF2UiDiIwVm8moqaeqCO6FNTS6LdxGMFRoS1jbHjZRNYq5GqWwbbhbjzX1MN1gEm-85Kld54nVcCQB8-FhuBq03gKpUqxD3NgQTmeEZPSb6UgYk3RpcugiRIjJWmbx0hGXAYwVdxxvGxwquNzYrWn5XV2VnuZFpPK3sb_KAxvp6nGyzW-PH7VadTSTJ2lZrajahI0xm8hYFqTSfqcG-d1rcZWazSJkg_wAqa53j30qKrYMEkFZbRJLjgki6J-MaujJZUc89u2oIvHjI3vfpi0g4Mo3Hn9Z2Em4IGEcuXCXt5lZhfUvcad-Vek_GYi5mgEhoCas4yHa1vqEiIhRpqogNiMboNDSNeSWnN8ILMIY6z54CGxX1Gn6TACNT9KMqb2F9gi_FTDy7ST2n7ok6UcNYHcS3eUZWotY4EmTNyg2FxpUZExFzx7Ivr5f9a6uo15oESMysW4MdNjRyTmRspOxenIM7fytGN1BupriYjaAh9bemDwJDpG3CB-pAc2TdEs3qsDQWzIEbQtON48Y30XhwuJAxKzP7d8w1TQSIiUrc8ef1tBrqbi4bZ4XG3ta8CsAxriCCTfGVKkQc6CLCDe6jQGo1waIgE5CyuFeQIiNxdKpWCGXh0XF8LIVpDrAlrQFBP6hGRulAAMFoAIzlRXU6DiS7CrUn7XGoBsk6ZwkayNlFwJ0kCDyJS3D8dVDBqGdM35V3XO8GovaaRIIA5i6a5yMtiYa8_Krc470V1UvloE-Qi_j-JmVIIJAte-ySpWk1AWwLk3JhdWFKbO6Xc_Cxasi7yH0gZvgqNziy1WnTEAe6jr-MZ3x2gOBjMhCTGdx7ze85my01-KVRw1yDewsmxcUcQ55aHESb-yLjWH6GDSLecj2UqFHUwbwI2Kz4PO6iqKjzpmFlvCsZqcIyoy20KmgtAkHwoitY-mwOkkTJkJ6i_wCn9S3VJAh3K1B6_oU-pImwwIWmOU1rodKJaxkTF1XJvpObRgC0SEWIViH4JBPJyi3tKC5tw2BvKzUnqT2xIAAZvdZrpPUqekTgRsd1Y61Ku1kuAdbMBQ4p0qfqVLxiB4WLFsa6Tm03dtrLLGNdF7nMEHUd_C1rNmtQbNPtdIzZVMO2jYF2PIWbWsWZTAYQ02OQFFaKdRpbAsZGV0lg10qsNMkYyBhWd0bWVSahcwbXBK11fRweapOrt07DdOp4O1D03NFmyueAVGMa21wMgqXMbjPWDSRFh53WMxqsVYt9NzR2uGywy817Q9x7j5BzKE9SqMDbEX2lMdL_AEyOok8ZuFDjLP8A3OdY5nTZYs1r1N7nEatli2QtBtSzrwdoW-Mac0FzZORmVvekqE6cHOFn1XpdNV104w-JW4h3vaBfJOESnoVbgAkcxumsTk9ahXaaTWg9xwYWmt1YVpaGi7skozVdbXsAEgz9_KMA8aTJcRe8HZFw2sMInUeZRlppuGlxBk8EI3xrLXpA9-kGCsuqFVoqkSYEXB_ssWqzOJY4CbbCFjVI90ZGok2iyhizARrdMGOVoxB8tcSSLrnVKxr7mzv7KYLUQ31IB7vIhVWl722JsQIIQAjSWC05QTOjU6Xb3UorRfJIvbAWRbX-0xqKVYlp1CwCnpa7SGv2B_CxiNFCppJBAFlY1j0ulr6SAMjJWox49D6h75IXUTDXTj_c-VFUY4kkEQIv7IOcNJBsBabKVBpw1zTpDScFcvU9Xa8B5hw1TJIFlZFEPh2YET7pikcdBxJ87K4I1XOhziDfyoIFwDYNiM-FIwZri5sBv2VVz3hrjYnnlXptMPc7cx5KzYldJDwSDqc2NIUYMHyGyNI91MGmm5pBmYzIWo1K2UXdp7pJxbC1jSnqaA7PkQpYpWVNJ8mZCmBjVa8ODpFhELN6agMJBBkg8BYqmJ0iDb3VvmDqfcZkk_hIA2rLiIxiRlaHVyPTdbFxCl8GCfqMn4XKdjNVFyb3xK3cGapLQ39srMiWEkA3-5WgTBNmgeFqKR50E37hsnoZ7mmO2AFE-pQCHQBOx4RzEMaHiZJjI3RqTRJuACfMoYcSAS65xZExPSHO0_3TxcVawWBAkHZD8XOBYHBwBvYzhMMAuAGdZVm0wpfAERPgJmLitOoRNpMDwtxGim7TY2njlUVpuiZIF0RWo5rxIm1vCKABJk5wFf6DFwb-8tHAwp38Z1eiQ0yTtaVr1pvpuJgiICfRRkGTJZJ23WQ9MkkNIm1iFcwUJgAEmZTFZy0OcRqxdYsZKWAXdecFRYmGgGCd8wuVjarX_wCYf9OxWVVpnaSByFit8Wmn2tBknTup-Lo5tQzqAJINoT-hX1BcGxKxZg5gJeL9uCqNNBxa4EGWzedlij0ujdpMAydiTCzY6R6vSVjZhb_cLFjrHrdL_mDTaBkqRrGhzQ022_KVqGpOnS6MbLI0UqkgcThYsI20Xn6hMbBZMxoJ1CLBStykFjMrLbR6rYImDa5C1E0WVWklsyOQtapmlu4gSs0BzoYRN5wohXOlskXG6dtK03kgbHa6s8RsFOKUm61nSJhoBkewOyxiqU2teXF0WufJVkFTcF2W7-FPAhLniIH_AAmCTnROxJToZ3nuLiDMRAWpehF51S3i6l_R4iIabmyzi1N5B8Ec3VxnUg4F0AyCqqlMti4AKyaswaZJwr_8taLnEQ2QbpqF-kg2CItq1DTMK_B2ogcLIdrg6LYAuN1oUETb_wCk0c49xIxypopTcA8y6B4Vg2MqSP8AUPZdZUA1DGBPhaEaj9RcY-FmiRBIi3IWFM3eSZQdJY6S6RmITRbp3Q8WgH5VlGxtPSByusoDnxNo991PgyPcTsQDsseAAOA7dtpUD_VMqUQrAwcZ4SCQdpk3PwoAXD291YKNdMzYcrUTFdYEgZC0p2vBIJvygfUHMkgxxwp0FIIBJvOyYjm2AMWAvfKzIqb-7SNJ8grVDUjqBGT7qZ0KBxAhZDsuTgcFajNmrF0NwJPGyvjOV3qQ3SDYrPbWJukOtiUWTHOA05-ExU2uy3fjdUN6k2hAzA60_KzWK003RJGFqMLAkGTad1dGqmZbwTvKDQw6M38yp2LUnTo5m5WoNVMyIkrbIVHkGPpWa3COeGaRJJWC-mFXYIh21JtJA3WsXDB1-05RmwS4xeSlqFdiMeQs6FJLRN54OE9aD1RN49kAMG0wVdVH1Di5jcqFI1x1XRFaTowtwq2vtiPlORiLyNP8lZ3E-oOIuBbe4SqAcIvc7WUkSq6zbYge66_EiWoTYeZWdaTe_U637sqETqOmwGN9lm9iTWiWmT77pmBah0_JwpRmNS8WlUc-oQ4kCSoYT1hJEqhHuMgxnhYq4vSqwLrUrDSHSAQAPda2CL3Se0gDCw1FGP0kCJnchaiU7XN8q9snL_YFalTqhJORH91b20Wo4aSJgjypExJsvwfkrag58g902RHyf9Wlxp0wbybAbrhzrU8fGFva6QNWwEwuS1Gr2uADdt4RnH4TbThxvJBlf0-Ph97B7dYgC-8ro06myHEN3ws1WgdsySQRjysWGYoBqaDJiJWEPTpjVF_aUDvZ6ZG87FAlRhDNLTHl2yLHm1ZBIifKuuObyKSHsJEgt3-FHaMxcNpvmUaM4SJP08ygmZiSQTtCJDsMb398KK4vippbN8rWjSIFOBgiU9Ssz26HAknSbiFpx_Ej6kO1AyeE1jO2sEemHACSj0zw7P8ANhpJ8lFXA9OnFoU0MzqDImI3Kg2uc17A-ZIsoy54LGWOmbzuiItBLxi155V6VspnWIg6gZCiNTHZkad5IRdZ-raXCRAkfdCsdQEtB06j9Mk4RYyuFgItJyjRKMg2mTyiXFmSbNFiEYa2NOmLEHCCjXEQ2Q07I0drhMEQORujO9r0zqnMi6NRpYO5ztzCFPTqOBIeJdxKMWzi09PUBqWO8Ecq6ssr0KbGVGG3aMKtT18j_UTdHUhw-tceXcWsdF5IIka0iRqp05aHStNNdLtLDO1wiY9Cg3sgE_2UML1DGtaQ4_CdnjK7Swgg-ArHK8du60USeSCclXG7RqNIOQBss1qM_UAvbF7jOy52L68CtRLXOJuRhZpGeo0MmT9llpIjSYm2RCy2g-4M2O0IiAsRzH3RV2NIbMiDsEDGm7SCTB28LNakAsE5sOMyo1h2_TMXjKKoPpbB90-i7CaUX7cgqqoKpe07e6uQvitMeqyRHbsq4JEnSSWwN0xvii-Q5psAdpUb5U9J0uNMQDt5VcW-k522YgEbrSK0zPaPqnCixS7qAaTAF5KrcZqj4BwTCy6sL7EzEi_shGd1Vx0kEF2Fes9bOKZ0ugQcyVNQWN9NrZAgnIWlXcGtnVIkZTRkqkF5sQOJmVj1NQedUDjMbLnddPY6g8-uG2_-UyUjFj0f_bcN0GhzPVbqJ22wl1mwvRx60TiNJSUepTr-mByTElal7St9BxeddhpOGn-FtxsxsAtqvq_7RlELEvmJJEQiEfTMaSLC91zsxUnA0w50SOE9dOLK6qPqyHYACa7JEyNQ0g7CMKWrpCdIdNgTcgJ_aWqNraKlwSBcjysJG7p63br3dlEel01bU2KZDQdipLUXgvgEEjcg7K0HSRcnHlAWgCSDc58qCgBFg4QLloyV0nLBspVJAAs05la3Q9GuXSAZuQASgNN-W6tN8Kf4LNpgFwBknys2Kz16jhY2II2lZqvMqyZuY3nZYbxAmdUSSMSpWKlWDnzuRaBZSOvGomWEix91K3e2SqSJaTN5ss4k0khsgiJxCn1dTa40iR-4mxKqrUqoe8G_hExm6qQ_uOLxCKr0dfS8C7h4WpiWNr8kky9VzuptfDy4kSVHL69LpapAD4I5C1GpW5pB0uEhvk3lVrxdlS9yRN0T-1a5OqNv7K0tEV2svq1eAssnbVEiXCDkTBVWVSo_U3YtAjCO3xmfpaBIgLnyiMtZhIdJsMLm1GclzTcSWhG9VZU7A0GwuTyipVO0Ec7rIWi4AEaiZP3WaK03h8jPEZSdi7Gk91gOSt4DUdM_VAwRlSwRdgGxMcXUFKNS7Y-pZwaQ4OaSAJ5WbAzGkkgkQMQmIFfp4JcJE58qNk6c_tkk-VRrZULQBMG-FYzXqdLXJMTLtpWmdxpLe_24KvsNNTaGyI9jOExXOpjUDBEiYU5BWVjTYIxxlYgLKsyAQJ2AWlNBDgC8SQVqBnFz-2QfJSpUHuAgG55CzVZ6r4dIuw2_5XPWZ46i8B7ZMnZUnSsyQ5xhonCLpJ0ukiG7GJvupe0tdVcHBpJgYEKn-pOdMk_BUyHTR05MAapnELchj0en1ammwJ4Vbirxrba5Bv5RUX6ZAmSMkFZtF2DSwOgjjdYsIDmSwRuZMlTOmzuALAePKzQrHTF4BUgWrW0VIyRdbE6tUnXeApfBnLiQL5XIZK3_ALhAMrXq1n3OSf4SIQnuF78rSltcOv7FGfpR9IGPe6KV4L4GIvlanRmiC5sGRLjf2UqXifSHtOnbzdROwbIbpNhNoKsX31VwJYRg5MlUs_RGy1uADzmVlRD7CPcoOeSXe-SStydBGyIm0rRXagwtkxdTAxd3gz2ykYrRTdEAzMWCos1pdAyZmSLp0lX1AE2AEb8oiTqtxLoFkFDJJcCAeFqeJGuie3SCIARYtRcAQRNtlfWmtpMk2lviyl_9Iam-wv8AYJQ75O40jys7ROWtuSb52lZuhiJb44lGohUiMGJvC51RYQAQ4kgbFYFKbi1wxBv7rNb39NAdIImIvbdXp0jmHMmLcwudU7DMYdpsTOPZNa1ZjrnIKww19MRJCVqPQoOgRYhYrp02dIdI3BlR18e70TuwC43krDbU5509txypfAosYAB9lPg00XFpAIkfwp0N1E9oa0klc7O2qs4kAECQeFbCdOFQCJn3CxjewS7UN_lbSfs1N-k7A4UrSmrU-LFYoDTpifulSC43H2UtU9F0yLGL2CsG0Hstn-y6b8C1Lew2WRSkzSLX4SBySLm4ShSQWEQZwIS9iFRwYzBwphqLtJAsVKIugAgnIjKunnjM6qSZBJAx4WQHNJmI5W9Yk7SJ9M2_Cy0pROpwcbjCuDS0l4gbbLKkdUmSbbqhDUAaNN90grTeCJAVqwwyRcBQUpgAm990RengxugoGS08JB2gw3dXBRgg4jzK6ToVcNLfK0MxOqoYO2JyudHCdQAssirXA2b8yqFe0D28BA9J3dwedkGynVAAEhdIhKs-ZmwWqRF8yMgjKxyUoIvM-6yHeRpBmFRB77XUwQcRrNlAIhoMYVHMdrMCYOUgq06QQdl0FWEQDscqVFQYJIzwsQBl7Tfe66apXO0nB-6zKA4EjyqFo2dOxthILNcDMCRKgakRY49lBV7gWhboBwB9rrAD6hgA5WsS-JtcXGCp4rgMnbEpQqyNLXgtha9YxVjtLRJnZRnMWa6BBPv5QaaBkxmLrY1NcYJ_chitK7jJiDYytcRZ1SN-7ZVmQocD3TEZBU6rfhHvDJ1blc76ldTdB4CIuD3AzYrWrqzXQWwpoZzv72Ss4TWBgflRojnav3XVixJ9QNzf2UqUh6gi0yFNPiRqaidWPCINMyZ291RdlQajIuFqNQS4kC83vZXkoCXA_wClYZ6SfJx9PKI4WK3OmTF4bMkHiApaYzHJJF_dNaMJcBFjugVwxGClmCLjeYlBkruLgTiTZZpEC7UefdRfE3ST7bYU34uGBmwvPOyRkNZnMQd1KuKNe0zuZvCqVUEkjITQxfcElXSnY8mZN5SdVlQGCthSSQd0SKNqCmLiY4RU3uDCCd8FaiXQ1gEm4Rman-5wixwrGnyX9YVI6hjZsDheb-TqukfJdQ-AQfp4C58bqMDgXmQ_QOCVofiZ1PSXb8Qv6d-L4ezEajB8eMrV6NwWkNhhN-QMI1HHtcB-QsUq4bqORzdZZUBbMiQYidkS3IroGmTcgwEJdLWa4NtvEpjTyuroFpnaZCLJGZrngFs3hCZ8TPaRMH3QrK98VSfOESXVKUBhM9pOEadR7jf6eUDuILeOShehp1g2b3P8Kxztwzx6gG8bFNT8utTYA8xFlLVycu1aDSHxv5V1uTGxre0QDCvqr09L3CZWQjj_AJl4AJwFYla6JAPbckKM7pq7AKZdKAUGBxFptuitfTw7M4zKI0MZiLzygjXOsntnhBi6oFjDJF9kVjc4mm6DccKdtEpuLMCT5KrNaGEEwTEcIjQ02GRpugIeXO7RKDhVBeC65_7UVrpag0ODo97oz20NqnsbAgjSY2RppqkBgOSM-ULhQ-Y0luOESdPS6V5DS0Oud-EV85_UoNTqwXSWgCCLFc7vxp51GPN3fhSQelQBaG6hb-FpYs13eTz-EG-g8homwFkU1eNALgjNYX5kkEg2a1akZaKMvBAgmLyqi1WnEc4WW2TqAQALiMTuufKaPI6gyJMt2XPG3ndVOozZk3JCjSYaXzpAEKUZKxIqRAiVAoIZkieOUDscA4AW8osUF9yb5hHZ0OZERcrNhSTNSIMcpIioJEibAqX0XoEPcwG1itJq9WoWgaTbeQjNq9JzSz6ST9lWIXqhqAgj_wCPiFprXnE2gtICyafp6jRUvcA5GyM16fSua5pj6ueVYjRYOGTP8qtYrVDtEEgSo3xjA6dV4jhS-OjK92gukRBum6M5HqHA8ELOqZtp1SCdpWpcWO1OLhE32ha1mq1Q70wTedlhZWI97nE2tb3WKib9UFpA8Qs2usN07SHttBJzCqV6bX-qwTFlvEOypoyY2gJgrROp7Te3iJRLGp2oTFo8omN3Ruc1kzBORKrHJ6VGvpIkw0C3KrirqGloFpNygSpTEGZNrLN9GLqHdmgG0fSpenXizhmrtJ0kCx8LDog51jfGICNTwNbnC06uThX4vgVNVN8NPuSud6Zl7Xp1SRF45CRL69DpaneyxsLGFUb39Q5hBaRbndKLirrpjuhpuY3KBPVaB_BQMKveQ0TbMSoNDHFukzJyQFraNA0gUy8EcgLU5dKpreHAAaf5WdR3-JNNoBF5TVhKvUipIkAj9w3UtjTPVcw0w4tLSbu4WF_1irtLzYRI3NypUqR7A6ecrK8bjLUqDVEH4VX8mZ8E4N91HSJ1XSGOM6rtPssxfEwDIM_cK-qek0-o4OAH91kT6gw4WkkwixOjV0vk9oJiypa3OdM2MRdXtzsJTHMhO3Kx6HTOw0uAgZWl2Y9Hp3AlpAnyVpWtpLJMxaCOUKoyIsCXbzdWss9V5Y4tNtxZRcQbXIfJdMZEIWPU6fqPVpwSXCxkiwRrjdg1SC11jfBOFz5NvNa4NOqSDmf7KSRYBioDMnf3UxTUgCwgdxOBwmJtZqhdqBMfCzyjepsqGxbAvvsuVGqk4AgXjdFaDmJkFdQrjBJuXeFKOkEjUc7rGhWghttikJD032Ig2UK0udAn-ykFA_U2DA5VaIR6YEgQN1MDioSdvhXMStnSOIdMkHeUndZserQ1PYTInb2XVzUa0ADS06fCLpax05kkrFXUmuDGyYbfhZw9FlQOJDgPMKxowJMgCCL92EVzXnXBAcBc6cKjPUcKZJbYOzdMEzUALGiQ3YxhZskZxNteJJnxCz-JTF-ttib5J3W0MHudUaNQMY8rNjWHqjQ0XmOFkTFTVNgSOQssq02hoBJxYLerr0aRAMj7J-S6oytzLRyqrO9rTU0tbGYjCyRqa5xbDcSEaAVP8wkmwtAupZrUMH6nYGk4BCx50qcloIkC8wVnPoNQ63gzDCN1qCJM3zt491LeljM8wY44XNio1awc0491uGs7q4JFj_5lVYmeRzhFc9wE7HyiQoIBBP4TVLAaY2P4Wlgx2xNxupUtNTfpwRbciJUgdxPMHNlvBN1U3mZWsBLi0aQQZvEZWMAa4uIMH2bZPxAe4ZJkbhbChznNmboH0_7Qgak0GQL7yjKrJAmY02IRFab4Fs7GFRWlWBPyjIOILrmTstYLsJ1ECRxaVZBWmYdJv7Jo207tBDSOOSli60h0uIgxYqRQY4AwcAz7KUOO9oJEqBHSI-1zhS6K0zNMmb4UrUI-IAtfKxYpBc7fKzgo1pmTI9lzqxbUQIbe-So6xzryDcxCxY0ZjTgYAjCyLskuHcZCDQ0lrbSSDus0badXUGmbbQstPR6OqSIvqGTylbl7ez0tbtnPhc3Vrc4uAzESYWa3qtM6WgnflSzTVadSY87BYzD1spOIMAhoI-yqruqG2bq2r0VoOqIDisRLBdUcQDqNilre7FQ4m835WZCU9NxBMiBkSnJo73ixEC9iVBHV3kRvKujV0x8WmCnnadtLTJjHCm6Hc6x7gSlVVj-3i0rUgU907ReUETUIiXT7BTRMkvce2_uqJ1DYRKwM73anGRG6uNbEau4kwdlGSE6QAAZHlUI6S4HfEK4zRonTIweCpVjWx0D_AGVxU3uFv9O6dCTzB0i8YMLIu0OptNtOJWvgekNTQLEjeVIvxZhA9hb5RGhhMXiVqeBg-RvAWfosDzNtlYA4y4bldBYsJaN52WoM1RkA2E8nZYoVjiWg4OQshtcNsCCMkJgUVpJEEzFwmwVog-pwBsg0NMDHutcQwdDZOPK6ISo4ESZWb4qc3gY3lY6HO-nMwglUuL3VoiZcL4WM7CnubBPyqC0O1N5PCs78FiZJ1SI3hdEuhqzpv5WfrHcuqtcTF7q2Og6jO1zxZZ9oL3RO8cFXCJ-piLg58K9gB0zBuTndSVfioFycHlP9RVpAcITQS-AbQMWUoga3cGnbdZFC8tabrfqAXgDypYGvpsbcLXwK0tqZERuseqvTIL4mY-y1mC7SP_ApWaem9rRE34URopuIMyJK1GWqkQRmffK00s06Xk3hVKc1NQBU1knqTP8AdZ26Fe-cm6UAPIiTdFXY-3CIqKxawzhFMKoIiCmIV1WBYSUEg8zqsi6Rzi6RCIQ77qKVtt_uqKMe2I4RFGO9TaAkqnbcQre1EDYOt5UQXMkzYWVkqam0aT45Wqyk8kvtys1ogPcZMexUwEtJH91oAt7QRnMlKazdSMGMqQZKjC4GTPIWFiJgNJmCLWUjXpKlwIE_2T6yJYW3x7FaAIEC8hS4diHHWL-9lmF7PqA2_CqKipbi0whT0nB1zlWesqOMtkFatE9QBg4GVRRroFscynaWBUdnt-efdVnKT1BncnAUl3xqfoDJkjPlalV85-s0mdb1zW1HNaBcyFjnJyrWvjv1fRT6pwYJYMELj1uRP7eU-tqcSNJ9xdFfiU1S54IFjnlf1F8PfTsAIJNm7DdSmanUp6DLII3CizjilGmCJIvwFcSqidLgAJHKzYeBqkNH7pUsT1ppPEQXcypFzBkFrge66rWsvV9M6oQQNQ8LLPbDXoaXOi5I-yKwupEkACNIuOUPaz1KJ1BwBAnHCGCMaQL-EXIQEtABaWtBRReNQcAZAKOXK6WqwUgD9LoRx5arSrzAJJB8o7cZs7aKYEg6SR4VdPGhjQ10wHE7hMVpax0Eg2CdwJSaS4m6oL2bi3lUXov03JGqcLNZxbTrDpO8woY5pBdE6Z5CI1B3puaZAGqYCDTIMaZiZJRn8ojUhpMWRp5fVvMyYzEIMVV2nDrnZGtdTfe41eERobLnAx88oNOsEDu1eEQXO0XHa3wgDIY7fmYgIN1J0MJGTlBWlBa0GZNz4QaHVWaIEe4KXpZ2ag_WOzubETCyY3dOfTsTm4WtHl_rrQ4l5EEQAf7LLTyGhr4OqPlQeg2A2QQbWU7FOmbrbqiPOyY1Ho0mtAAN9QyVTU6pLgA4EwLQjLK5waWk59oVZUotIcSAbnBKWjU2oHtsdr2UaS6lutoaSScjlFjxeubc0wCBsSuF9bledXYXgC9syoqAgQ4GCRhZVjrktLpa4DyjF1mMvMWI3RqNFJssJG3KCzahawA3lG5XOIAlrdRnHCNbpQ6DLh8LGU05d2zMCbwplNTZVPrnJgrcYrXrD4ni6IrReaerukbQqsCvX1EAXhWox1iI0nHuogMIpg3AE7IPR6KrJ7RN1YPXZSJsYbO52WsagVi5zXi0i8pqvOe-HEn6iIwpW5f2zVXh0i-LrGfppB7W3yREyCsgPeD3OPwCtap2h2oOEfdSXvE1arVlkzrJ3SjKNDmnt3ws3sjJUio82cueOmnZVFM6QQCNyrIlr1KFVgY2BJET9l0gZzhANrWWho6Z4LxJNj9lnwbHt1NBmSTnha6Rbp3GoXF8duCp4y20xqbYSIsfKrNmtdJwp7SXHJU1zsLWqwdLiCJwSntSMdRzabtX08B11LHeQ-ljy11iYkgnC56MVaC4CNJJ2291v1srXBjXAkfOCozpW1GuixA_7srNgswQAGy0EkypiNlIlpbeDtJQahUM6iwjwEHCpLRf4OyC7WgSJBHMoGY4N7m2I8xKDRTIczVETeyBm9QWAgzpNyCVNGilWtP0kAZKBa9Yuc0i4GSFKsjN1L9X1On4hRv4mRFw4gY0ohK9TUY_KlKk90Wi7vKymsrmwSS7SfG6JvZIBaZyceErrLqDmem0l0yTF9lnHRP1CexpJHJVUWyYdIgcphSdQ4kQXSTeyYIMF22kEwZUSttN0UjIaCMTutn44enDnSLGMkyozynS9Jxe-HOEjHlWOD2Ok7Q0WNsLTfFcvAMOaXMMIohzQeM7okQqObEmSTcQULUCws3BtndRl6HQ1-0CLGAAN07dOErR1JJbE9p2Usbjz-1ji0meJWNacWj1IsTAWonrfRos0kzMCLDdak1WH9QYaGkhsCLyuXOLjztYbEiG5MrisbKT_VtqiN1MVqZULWRg8xldIAKhAOoylEXVBr2MBZwGg7U6P9e6ixQO0G4EHzulSqGqXtkT7tWdTTNrwdOCVZ2enZ9MyScrTWmBDXWM33UqNnS1AXyZzHKn1Hr03mIAgRcrprFa2OGkZAjP9lWRePVptBJJ4ATFZn0n6SHNIB5WbMXxm0iTcAjynVX8lRVa6md4ufClPyEQ0AwQftZTGknsDnSTfNwtKjUcCTB1QMjdZohGo6nAgKM4YPBEE2nHC1rQznuJPMIHLy4EAm_4WLEcwanSLEC5G65stDCBqBIHErWDXScCyBLpV_FVHOMESA2BlasrQCo1rRBuLZWCGNbSIAIHIwjRpDDqgC8myVqJmpD5kyBtwuf1R1B7pmP7psFA4EXJDYxa6uqlVaRpi52GFnEZKjQ0RJg5C5s1lrxBBjNuYWp0hGU4dqjJWmoSo7cSL7JFR9TWd5n8Lpgo1wLbbYWcCu7XAb7qrgsdpgTPupf7Cl4IiQTvGUwc2qdRiYxdbYAuIdfO5KLri8XgWIgRsiaIqFrRAItlDUWu1PIz78q4aqGhu_2UX4qKsui4g7ooepmB8hGbRL73MhEpvWtBJvjSiKsc7TuQcStzEM2RAsrRelVEG-qOGpBqpPaBN4lag1UHaon8FXBra6IBiIwVnGgcO7BbOFgVY-CL6Y2CCT3Q915uThZBbW0jTIui6Yw--TysXpdBkB0mfaFzuq0gtePqBHmyjUuOc0tEB0De1lHSBTLRY3PMqJL-zl502n3XJtVrvpJgRhWxV21NWYusWFa6bhFxA3hZRt6V-ipuLYStx63S1odwD_K41047XpiprGQy3OVHT6bVIERA2UGnpG6u44nHCVfG2k4aoP1AErGKIq6jiDCSKem8B24d5VaM8icalms3pQOJAAhE08gbk-6OksTfWtsbrNmGmYCc7gyVlWug_SCBY7lb-KuHxHaZWcBafUMEQRdBpY0GCXQIwuk8CvdpaB9XIKzozVDp2_KyYT1ALREq6ErPAAunQx-oTBmxGkhUKRpORyQchTodOm7iTGByr1yEny-SdzYBWh2iSATHwsh_U9IQHC61e4Cb2IyJlY8EwYIBcJHwr1Wbbq2rVJDz9pUVWiTT3iRworTTAqyOOFrBVwDdIG25VDA99zdYFAdMmYnKsDNguk2391uDQLskXOy6Rm3EKo1Ays0iJc2Imx4WWigEkxNuEAHBEHYSoLB-kSAZQXY_UItIvdb4hnjU0E_haSJMpk7WhKprN7SuedhH1ATvJOIVog9_cTjZETNyTcRYyoqYtg2WYGY4kSQJGFudRVNRfbEibHK2htVxaExFA8NaZFkUuvTNobvKms9kdUOBc-FdaNALbmLbcqaFZUh3I4WcGhrg1oO52WxRrxuCDwsA1HWtg5CuDJHdY2m6zaKgF4HdeVqJoEXyCd5Vqm1kkx91ncTB2gW5U-qpTFhpkDlbg1M-mJJPCliGAGfyNllMWpuGDccrUYaqTgHWN1tV2VC9RDOIAIixUqEnecKKcttIicygmXXBsXeURTXBm2pBRrp7XARwEU2sNEEwtDi4Rb6lKJPEXm6gY1AG4URF1SRA-8qqP1ED-VDcjmNlxG4QaKbQDJyqCHXnbZUMHAGT-U8MUDg5jdvhWazhHmGwiYgTEyIUrSTi0mbfCsFBdoEXyfK18wI5wAmI2UpjPVBJsDbdQZKze3Jys4ImkJIGPKzhAjSQLmVn6v8AZjdoMK6RNwM8BStBNpEn2SMCSZsCSidnA2JlVT0nd0WgLcjKlSpaBJ3UvQTi1-OFYsUbBJ5Wkc5xcIF1KJkEEbBSVHGoQDEGbLcHwv8AVtZ3-P0teQIXDny_TpxfM1a7j-6QTCxDl-mZwYHHUb-yuo_E4bYQCv6fr4o-toBvG9wqrhNUNtqlyzazVQSMjSORlJyRRjJDSWxfla9Sw4BmLglZoLqAMEZNvdZv9Ko0gMuIPlImmayWHuWhir0oeXBoAjbcqKx1ekcGgjcXWVZK9Fzcg8HyioGiSeybEYQI4E6pMCeLoC5hDJIsL-6us2M1SoXamzM3aSEeb2hSaGach3Cj1RrpdR6bLA6pwVYW5030zMCN8qkaqTQe02BOFtL66pTIf2tIB-FzXXBnqhowOU00-gBmACDMhQ0NYdz4RD0hrcQTqGVYjXRpOL5MX5KVc-rv_wAsQ1xk7JGbxZKz3DDtRN8KNXpi6glzHbRdEefUe2Tqh0XQNSJfdrYPKDQxhcwiS0bgK6HpGHNJkDZQW1zIJicEhBwAc_ctGUGmi97IDScQrhrWxzoEm5tZQGpBAAbPgrINCuWwHm4PCN6arXcXF37RjkIwy9Z1ZrdPpJObwrVeSewOaY0m4Uabekru0kSC0AAWQerQqzTvDTjwoa20ZqNAGB-6byp2KvpioCXAC0SrJRjqNJadosFWEG1Cx8vjwVRo6cEmcCMLLcVqN9URa26LHlfqNCTIuRZcb66vIr0y4XiQsomWiMCRbtypRgq2LtccCVCzUdAvpvfPCJFaZAcCZgZtZFVLAXZlBJx9MmQZAwiu1jSHFuonYoulphxBJOlpvygcUnBwLbE_lS3EWp6gDYkk5CqyNNMBmQLqdtcukaoDXT9il7c2atEi5PhUSYxxeRsqrZQJpOBkDEoPe6LqC-mNTiROFvVaajQ2nMA2vyorxqjYkG5N4OwWa1GVwL5DW-LHCnjWxJwLiQZaTiFnFZqrTMzqAMQtC9J2lwLjbypjLRXYNDQJN9llplILQYOLp9WMZqEB14Kzjor0LDXq6i0BotPKn1zemYofSdIK6Y0Aqi5m6eJdaOleXOsThRW9k2sBB3V5RmnA75BMTsVZ4j0uklzcR_ZSCtN3eW5UsOlarJIlswLuhNGNzZIAJdm5SCBq6A5vEAlZkioCpqLpPcTlUiPUPGoMMvjlQMycE4UFWPe1xABIjfZB6FAS0am43UqNbXkNGodxkz4UEqR1EgfUeQgsC5jdJBJJBCCgbLrGQb22QVY8sNidEboLB4eO4SBiMrIJNhB08kqxqRwLWsIaZJVVmqPNw4av7LNq6dsNguMHPsot8SqvAa8SAMkIyhUeWwA6fCyyhBcQ6SogvgAn8rWO3HxGpqqh3cXEbcrNdNjM1hY8yY4lZtUajg1xkDIhqsEqrtVtG2AtXxrEQ14IB7P91hlraHaTcuIG66JYIkAEE6RewWal8aWaXAGQHpHnvr1unNm5nwVtqN1MOcIiSL2RtEMcW_TM3k-6M7oVJbm05cMhERqVO2ZxYefKn1Z3RoFxqCJEXkKusek9xcwTe2UVjrND3EtOp8RZYw9UaC8ktFgBcqRIp09csqlsSDaFuNG_UaZfaLm8KWbE14zzGO5uIXnsxvTUn-iRMFpMqK1-qHmxBjfcLUDl0nTqLjCBHzIG2_KYOa9zXDSRawn-UwcalwXDVfPKxQzKmgmLNO0rLOH9UPqCG2B5yl6h4sKkkgHTtBWpWlHNJba58KUNSf6b2kbG5ndIj3ukIcwSDEHfK3GL60uktFgyL3yusqNXTVtTCbOdzC0vhqjCDLiHyJIUs2JGSv0WnuLPIHAXGzCxk1j1ACYBH1BY1PDF9tJdjcZK3HSeFe0lkciDOQr8XWV4LKdw7nKxqoNf6hLZgJgIaLT9IyN_lRMXm47uwhM6UC9gB7QACLhYxnDatIMN035wtLijG-p-8ugWndbGrpnhrdJlp9lrExpeWlpIOl1gZUxUnOJpN1DeOFiw11KocFrrGIWFlanP1HJd4KNM1QSZIDQLrN_oBtYFoOoADhYxMNRe6qLu8YutSNTpe7SZcXRujTF1D9QLBJuSudnZYyxYCJI2OVGE6lUtfaR4W2kyXOnIacoqEQe0EH3yr_oIOh1hF8cK7oLn6gZPdwtRKLSG2BOLCMJZpCuiNRBPJG6pXaTp9zsjIEOvOTshjnS24I8oFdUDrTYiAgE6ADe2w_lA9I5y48IqmknYA5MpPWha5sSAXeyJYSZdBHkeUZMyxBP2KDQ2XA3d4haiYqxpc7s7eDlXEVaWxEadiAtQVY-R44U7FqL5ff4lWaPQpFzm6nC-yWtaqX6obecrAakx15BN8qhnNGkaYss0Z5GqDFsnhTwWa4wLWuUs1TEawAP4XO9Lp6YLHx42XO1oziXMuYIWa1tSgTkkrN3GlCXXIOdkzptVroAGVkWAI1YgD7LI1Un6bg_lYsGuhVOpp23JRqV6vSvcAJMziVh0lekyv_lAHI4UxrVKNUkukF3mbKZq6103FoDRI391munrXQOoao0kmcrOC7iQ8clJf2ToHCcAyM-UrVpmP7iHROymMrtI1Z0wpmJhtUwLgc8q5-lQqVIiZB9li9rKvSrFoA0zKY3rS0ktsbkLKw4qyPI8q7-1aqWktJaclBdjycwI5WwlWqN_4WcGZz7mBO6yhbCTEeyipOjtuRaSFRGpYENsB4yronE_ttMpoWREviAcq9iWoauPKntBa6an14XSYGGSSA4bLNQtStpJFgcABZqg0XP7icSFIljTTHaRFyFfp4o1wa3IcVKa1dKYBgGOUVR7iSLkEJoDT3TkzmUGgOGLAnc4V6Ba3S4EO1DlUaKYABvcrpEsSrEltjZFZw0DAuuY5rtIiTPumBHOMyDPhQNTlxBuCqLtdpv91rBdji4gEyFsUJNxiLoIPqEm7RixWRB7yRBI8rInp1NMSBsSgk53pzqNtyoEa4F0zZXJTFmdxBy0_hdJBTDRBuBlXEKCR7Sop3DVtgKUTc6BJsY2UxI5sGTEFwm_KsHasAkGVbFFrSDJuJvZZDhwDhN_ZKLtOoAwfus7RxecHC3ojpuC0RK5-0WE-nwungVxDf23O6zoDQNOrVCnobV5vOUFaJIiZhWUaJAMzBxZa0OwaxJPwswaKYgwRpKrnYqHgC-ThXUi1N42kW2VX1Rz3aDBIHlTGUnk8yfKRqHDhqvgJYVxc2dyoyBdBOkwY4QOHWBwgexE-VAHODbkwVqVYWo8xGq6enpA81Jk5WQgkG9ggZrtTheyGrsfBsL-UFRfzO42VRVrIbifKK4gEHcK0pHOIbBKsRNz5NipR0Z_d7rIRzRpzBWouOBeDBGAtRAJ1C4WdgjUdodDgT7KjMTqNxlTRMsIMZPlZCuYCZxClCgkC4tsVASQ-wDZG5VxMTA7rdqvWK4QRIgeAsmuJji4QUaCBi8K0oseO7lXIwD3E4seeVr-o3DMeTiwIuqyYi24PKxbvQSCTm0bqzqhCACSSGixV3UfB_1ARV_UargRaIB3C8_L3G51HjD9PrdZULOmoGqQSewYWfxu9Jusdbp6jahDqZa4WIK6ZivxKDY39l_S9fEF06rEmZwVZSHputE3B-pShg4aS25BwmLF6QLfqloMRN01FntDwSCZj8Jph2yQJs0bBQd6bNQNrCIKvYs5vbYAhIiLgwAWvwqqD6RZqgSDustM7-nbUYZsAgg-iGgxYWRYX_Bio0ktvGyKzVemhsOMaVdc7NYKlDuIFiDdRzk7cAI0hsu_hHRRlEucDMOwtRPx31tZUhslsGcKttPTO1MJiTODstJV2kPfk6QN1zrLtctEZwIQJ6mp0XLuEsxL1ADiQTggqLDseWgkNgE43QaadXSRvG0q-ruRqadZbrdH9lGpGOs9oaQ0m1jKMb2wVnaJzJ2KNMdSC_ugNjYK4zpmdo7PpiVBYOIcL3yYQaWu1Om8bWsEHOdY7gnhA7TDbY8oVek-7b23QaqL4e0OMBo4TwWcfVkMEnkrN7GUuPTG7S64u7cIqr-raQQBAO6DJW0vnTk3C0jzarQ4ukmQIus_Wop0bvTLge4H7K4r1elq7TPMpiPQpV_SI7pBMwmGvRbUFZggy7aFS1mr9M5kugubmZUxljfTbq1EGNkVVu2mfN0xGhhgEib4ss1uI9X05qsluYuFysrcrxK_RuBIus4trHUsIOqRuVKSsVUaxAvysqkKTZLBI1HKNyaL2AWEyRbyiWKthrLgkgYRlmqtPdJudxdBOSBGRGQgvRcHC4gYAWa3PFtMmQSAOFmtFBAnYjcnK6KtTeCdLrEIzyLXlsyB4RjL9Yaj3G4ixuUwAVidRvMYCOnxWjULn3Ee6Y5_Xs9C7S_uN-CtQlei2r6jjOYiEb9ZeqptFIE2O6LOLznANgUzN7lStSYiWkyZhwwsnbvSbcmwj8qqmynpcAcEKK0MLiwtBsN1e09Y6pLGl3lYWPNqkucNgdipRt6KsAzTAzhSI9Km31W9wsMrcrSTAdehwE-Ape1b6cNLYAGxWciRrpiSAR4BnK6XtKfT6biLkRsmp409JVJb2mT-AFI5Xk103kukWM42VZ1s9Rrm5It8KdDFWpOLnD6rbWRqVjqjVHcRFoWMrqyEEhwmHBbUKgIbduR_4Vmr1XBxeRAh-x2WVVoVP80tggnLT_KlSvTpFlMAfVfPlRlenUOw3sUGhlJrSDxeUB0tYy5Oomx4QVpkU2AHJ4QF7RUfJxiEFQ0UgBIE4lFhtbTsBwFGwaPTLowRIkIqHVNi4aQ7-Vk1H1hJDnWwh6VzdZEGQUTAdqbPbJmZ2hZxjGZ9VwJMaRi2UxcAVDoc0XIN55WnadOc3RJ1QTwo3jNVeXuALpI3CzZjST3y3MDVbdIo06faYMu3W_RFzC0iLeAFnGa1UD_ljkLSHn0x2A6fIUYp6XdVA3Ky4316PT1CagdsLStRY9GnUMHSYuPlVr4JfodHi3KJ_adVhc4O-4QZnPLZcWCJsEOK9Oo0gEkAcQjt49Bj56cxABwQiYyVKQaQdRj93upV8TqONOrBbYcKRDtdNRp1CRwtDe8tqUBJmLEb_dCPF6npjTdE3Jmy4840kwA9pmZXJtpp1dTzcC0StQEuMXvH7YVBNSSYGnypokapa4bcIKNLSZJvMgLF8BJkE43IKyuFIIcCNvKes4103g6nHmw4SDTSgtLjIvZasUAQXYxskg9ro3OZTDpmBEHdbjny9b6dYNDO4x5wF2I4EUnh3qGDiAitNKppaO4YJLiiYq98y79sc7rNm-q8qswCo4kSZvFlxzKyg7OqxIvJ2WvjpPHVnkQN95CrLHUrF0gzabcLH1tKdIBJLRf5QVe7XaZjAiI_3QUa8hpBFougVrwLEkmcbKYkUIN3QZOfCinpv1ammZGIVia1McGtP7iD9l0-Cza_qSIGFCjqOlwIvzlYxMLSeab7G-8rEna4v62nS4t-r8LTUJWBqUxxN1PelZtYpO0AAt9ljBrpPAYSD6YlRD1ari0ntM4A38qU2vPqF1RpIN_Zc17TOBHad1IRGpJIGXeLrbcRqP7CC4HhXwQceDHspRRr5BkmElDQG6YB9yuu6Oa64IN_CBXvn2HKM0pfgW08qIaBmSD4VCl2mJECb-VcXHG4tAGQoYLWasXQcS1hsNoVq9Kk6hpbcDKkhC2b3CZ_AW1pTV1NkGd5U6ZFrwbu_KjOtVMyJBgIqrXktJa0DxC6MiKkuMCCERRriIPGSppp2VNJ3N5Kv-mvRo1-fpxJulVqpmW2OrYHhZXVXObmxPMXCnZrsAj8pVRBAfwfysh5IAG_9lLf0GY5oJlZWLNbqAIuRdYsbgkyCABjdYq6m4aHSZiPhZalDVJJH0nF1SXtZlSAC10xkQs10aWH1YxKxg0BoNhYrPo1dPUhwBweQsj06FYVIIM7RwstyttJxhP7aWpVYhsds4WPjUehTraoi4Fp3UrrGmhUDR_4VFWfWLjIM22WcDUy62oQD5VVVgF8E8oHcJfLRAjKlqGDgG52wQspqb3EuG4I3WZGtUoAvpm-B-Fana4cWttaLLGN-NNAaxmIKNNdMCNI2M2WlUed9_ZSiNR-qxEqDNUJsYAGLBQIahm4BjwkHBxf9VicQr9EyNU_wgRxbBbBBG61gjVdJg_YK8fOxIS0OBMEKfU3A1FsRfmFoL6mk3zm6dpKmXlz3GfsueK00nYEk73K3gox8zHPKz4NDBqc2fewUo30hDLGPPKKFQkvBnNkwMxoG8zsUwc18T-LK4Lslo8cLQdjyDeIVlAdDpvI8LYSZmABCmCceneLlZE_UxusirDbEHgqyaHEyJsfK0NFJ4b_AGK0G9SZn7q_EQeSHbwuaoVdLrCflY1AYZMTA4Kqp1AXOM3KCbLRgGfhWerqzToEkgzwuqGLpECxMBXQGuEEE23UDagBaTCgQu1yMwgLYEibYuiV1Q9ulpvgQEUGPBMEZ8LHYoWhxNpkpYK02BvHhPPA9MgnydlNHaZIgkD3VgYuALRt5W_REv1OINuCudDMbBi2EDG8gwd1RzHl08yrJBpBDmiTfhXBaiNLgAb-UzEXkWdMXhVm08zpvcbrNZNTdIAgHmSrBTUTYY8LSm1AxNo3WKkLqgxmRZbX1wcZmCPdZqY4vkgTMKIIqEn3ygb1yBpAmFFMCcndNA1u3P4Wo1PCuv8ATgZStbhSTgiBsQsp8Fpi28qsxRj9JIm_sjVkaKRBMgSc5gIzjXIcDuoyR4IJ4IwqqTwHiJ8oiZZIjCKLSQfAGUCOuJm61FcHEGDMrXSGBDCdwoiDyPUd91BJ9MMcDurehJ7Tpkm_8LEmhGw0ETHupRJzpcTqjZMgi5-i0kg7lY0D1e_gHdOwA8Tki04TUMXgRv7LXq6YVQAZuP8AUtfiVzXiRAhsZGVKkEkki_5Woo-tpk4OFWBFUne0KYaLiAQTaYUs7Vg_VutbRoPOAB91Lfx0k18S95rVHvPccgxheaZbreYp0f6nU_Ri-r07prY07XXb_wA38fGfx14HU9TVq16j3Xc4yfdY_LfWsfiBgLYsv6Y-Jsc0w7i2UYVY0uPaJJ28K4sU9MSBYQMLSCXPaZ-MI1itOZbypirBwhoJdf7Kedsma4tsTcCIhNQWs1RMlo4VPBqAQRJ0jYZKmrCGiDSEAgcxdRdSdSdTcJkDJndFc5mptrz4RZ0ozptEz8yh-UZOq6YNkbRcwjOvL6mi1xsCTMcIuIOomlO58lFXY4aGu24WkpqZDIa46Z2CDUxsjkHcbrWsWrYae6Bxus2BG9rr_tEgpAhaHAwZAP3KXtnZvYaS5_bfaOFlZZfGhlMAADO8op6TCdTiNJ2KspY1U_pixJHyo38Qq0tbTUbdrbOlHOxgrs0FxJvydkTWGs9z7CCMq6vZKQLrzA3UZnK600uym0nO6NtDCTYkhvhBTBbBv5RRYQQQRcq4509NhmQJjYiUxt6DG6HS8EjAgrNuihcC_QTaJiYWROoA0lrrzjwqtQNn6ZEFMZ7SNPSJwBgq6rB1ABdyfCao0gS6ACADIKo9GgYaBzmyI1UrjTp1b34Qen0zvSotJgSfwi41VHa6OkXaPuhjzKzCCLERsiFofXeBqOyi43N0hoIJcT-3hZbjngmmQJcMlGmOrQ7NTbAZWKleJ1LIJgSfK5q8ys0NMntdxss1rdZ5FOSftF1FlxQaPT3wjpsxQUnNBJLrCQAbI5JBwG182F0VL6iXftKGLMYC3xssWtwYDSdUwN1n60VwkiwJyF0McCXVCSSLTZVPo1Q6pTBBkt5K0WMxYRd0gn7KufhGg6h73WF1eiBrm52goy39I_XGS4LUHoU3uYSSTMSFW5SVep9RpENOZlR1jzXyXadwYsonbmtMaj9QNgmKAqAFt7ReeeVPAQJObcLMoOotvAxiFr0jN1E3cDndoWL0rzXiRJ_aFNWrUnQGiwlIY9jpwH3_AGYwtYrRoLYIG8Sgdg1ua4YRK3UgBm554SRlVzRUIZFoynrN8WpHQ2Q0eVJ6xJVNfohul2b4WqlUoVC4E2MCIKygPmJxbIN1YuMlSkRYAibqO3H-0HU3Gq4xiBnKhbI0t6bSYuQ0RdIsSHTtL7SYyMLNXTU-lLajiJdGDKaza2U6ZF4IO6mDYxki5vwFBYOg34woFY4OOmQCrgcUpDTLuTdAzahbUgntNsIHn1XMLhDWzYpCKQHCWtuBckSFGnNfpBDpMiyq7ifUAE6wZbss4msxaC4iDDr2UXYmGElzRbjlCdhUJa4B8OtYBBBzDqMCwRdK8xVyS3JGyOkLWcCXEwCcRso2zux_dTkIa4c4RvAUkkFaYLOwuInZba0H0zPabLNqjRdox9W8qs1VrQ90yT8qsYek-KjbwRZTGLNbKbu4cCQfdGfxx6VF2qmGHchVfijAC3cxkonxzz_lwM-DdEZKxAE4jlTWpcKxzagBFiLqtvT6d80v58I18Tc8Q4ATe6IWoC0STI_KYCxg9PV-47KGm6esQ_TAnhaITrmm7oghc-U2NTt5jXEXdva4XDGtUpPlukRyrFadYADi6CbWVCPqh0SYPClTUnG5N4_AUVWm_V5AwVmgvragQTYiJUxdAkWuSPK1iK0arQDcyDymDfQeKmCSgFcFtYFpHkFB6nQ9TrDWmwOIOFvizZr0mVG6Y3P7SurNuOqmPqn2Vpgit6bbnO6z4zf6bfW1Uzu0xsre2PyzqsXVsJfIkGNRIXLlGpbWU03AAzPkYKz26ZYSvqbFjpIggH8rXwYqoLQ0OsTusVtznANBy3NlOwwYTOXeZhUXY8NbDRchawKGyXEXJ2IUxMOWF0jE5VxU2OcK2kOiPKmI9Km5tRovpPPJWjT1HQ0AWO6dFgOqBzTOoeQVKfE21QS2ReFyiRe1NpvDwFqtENb1JAkH3WPonSPbxeJWS1opnsM2JMXvKmdpoaopWiYu4bKco1GRzu20gk2lY9bhGSbvnOEVN8skkaeIwteDLVdMBpC1glkwZkXssgdwsZJO2y3kFtZAgXtF0iVzSIwSAqQrjIuZBtZCjptyMQjIh2m1_AVxcc54Jgwr4vhS5sRyVPTSteG5sVfE0QQ9wN_7LKd0T2NFy2SqKetLL2MbJpupNdBvcDflQUEgEnC1ExcRFr_CmL4oHlrZBza60mBJmYJMxlXVxRrjP5tZZ8YXDuYj3Wt7ZbKLu2JjwrrWvQpODTAkeymdqpSEgG8E8pQ9SGtEyL7Ln2IVHy7WZlGtOz6LiSRgrNFIgja1wFFh2SQWibqVvTkhgNu6IXNdN9Tc3jbdZqy_tmvJBEAX1RhC_wBNNFgABJu7Hlc7WpVmk6wARhPW2ph7hYrIvSdNgfss4NXTE0yCTZSrHo0qmoGXESkjX5Rag6TZxlYsXdelQeGggH5Kz8duKoquBADrLLWqCtFpmcRsoq7KgNpvwiLUqhdc4CKdry1xLrcKWaHNQNGmTC1VK4g2kxlYPDNcaZEG4CXtqXfVmVtQ0yPKxhW_pnBoF991mtTxdtWfblaibhjVDm2kbWMSpejdSrO0X_JUnq6g6vDRrwLpTQDwSZPlAXEftII_1LUNIHE_G6yqdV0aog3-61b8RkqP1yTMi1itcfGbUyTE6rzur0sgiHzkHyVlMLn6gB5ha6XCs-kXBMLn9aaKZhsYIst-RlUDSTptIWarVR2E_cLMVvbBZcgRkcrQm4QLzJwgUPMEHAWRRpDQTe-Lqh2VQz2VB1XJBsqHcA8ggwPddApMPhx_CCZILoJscLFgYWOkYwoGDQHG-LyqAS5xBctDRThxF7JGPFnYAi52W6sZXvIa5oWL41jM55BOI2lc8UpMDbMyFo1M1GmQD9wmfYekm42lS9eoqKgY2Jv5W5QzX6mgSRvdUM20SYlVDCpkf-FRUw7SCT-boEe4STcTCA06oDYE-6CohoDmkgp2KU3GdP5XP6L6tTQcD2XTAwEsAGVzzKOFgBEXWsC1CWti0nCbgkO90O4sAFkOxheCAAVRV7Z3Wsg5gIIHG6vguwSPKItTdbedlLWNxYEmNvCyjnVDGJJ3AWo1IpTOoX24Cq4sG5-9lYzpdVvHlSxHHHjkKnhRVJObeVmugOJJtdZYvRmy4cWuApUw1tzcYHhPVh6ZdYkR8piVQuAF8-FuN8fEzJMzATGnfVAH4UYum03BBkrN7SdLMbAJy7YSqVRrSwA4nhVNWpvdE5P4VwI59gfwoiYdNjMoCb-yuKD4Zgq6aVsEyd8IG0GDczO5REyY3QTdfOdiglUdcEIzEnOkcEpWi-nPJKziIPOl90VCo9sjxlYswS9QExEe6LgtN4n5UxDai2eCqYOo6YAtK1qYLLjTN_CyYo0gASbrVpSvcRbyms0Qe4W_2WyR1QHLjbZSj5n-pnuqelSggg6rWlef-W29N8XjECjTe2CCbhZkyFvbqPTis51N1gbkuF1qSX1NeX1PTupV3tY6Gg2us_jGn4acABGy_pz4mi0F_wC7tRhUPudv9kVZsMZYSTzla1HahLQYM3I4WVM0GbAt4KCrNLALXNsouGMFxh8OzCJghzm-SfwraGDg5ubm0FQ8VDhSb9ekxYomXOiOIJLsyLocZy3soYwyCJMWuq1ri0saXXB_7lGNYK5dVL9RvyN0ajI9gc909xGPCNpub6rXSBnKRBYx5cAe0gWIC2lK-g4GYHMqMr0aui7zbYRZXGvejNfre45GytZsxTQ4QctjCzC-A1oY0OOJlNc7x0opw7VFjxupV4zK0MgXsVHRVrWm9223ui-qUqZAcS6OCiHntJGw4QeR1AcH3bBJ2wjlONlY6hgkxcbo6o6xVE_uG5Q6Va6dI1Hm6C_qzMkicIitMaxAJ07ozK2U2AgbNKNNVCk1swC0TlSrjSKYggZA_CjTNUp98WBd2k5sowVzC-G3DphUFtEMEkmZsVdArMlogAj_AFKDz6jO4AARk-UahC91MQTgwtNY0dPUIMOmQMyi4206-mZIPCJj0qbtbWwMIx_T0ekDdAmAVf6X4j1fTNfLwZP8piR52j0yXO7Rt4WDVqVUlurPF1God1XQbkkm8-FI2iagfAys1K839SoDjTPC5jxOopt1WBjlZajM4aomfEpjQsbB0ye4XSoqCNRBNoUVJ50u5_lCA-mJtEExEqOoh2gixjFlz9CVzJ3IW5EvhmlzyNJHsFptzngvm-IVxm9L6mvBNpAwEiTtlrU2lwPzplaY5RGzoIBkbrOIak0ySXXG6I29LUAc29yqNnrOAB3WsajPX6sk91otZR0jM-oXOJJtNuVGjmu4ECUZQ6moQ4NcSQcqa0PSmHCTqnhZGxg03B8KRYh1Dw0ECxOyWa7ZHkVYINok3XNMJo0tBnP4SVh7H6fXFOmGucTC6bo9RjWljzJjwrnRpqZLnCPpFrbrLL0KbNQLQADE3K3ENqNOnpFjyLwpA9FxqEC0c8rFLVCWl0h1hsFXFWkXFogCZ4VirNp6j3xfZRm07qQcCJBaJCuHTK_piyIaHCMpelgCX3dY7XssOsoUaDXPNQbnAWa0oNJqFpYZvdMZxubQAYQJdZVpf_DN7Swd0XAKqW4VziGEFobG6YkupM0CtOmRvAStHdVLX2N8QCsAguNRxuW2sgqXktEZ4VlDkuYTFlGi1q2qmA0SCZlFzSmNADTAGx5RnGcku3gj8rFTBkCREOzIyp23JhKrgRBEtm4J_KqM7iCHAC55CmpWdzHavtBKrrEXktfJGpStUHOBptOmIupjUZ3SauokQblTID_iC54afpiFVVBIba0iVmrpKdYhpkyJvbC3Gchw865yJVF6T4cCidN1Kq0PhwBvjlGLY9Gk8FhvF7eEc7ymLtiZMEQjDM9pYJixtYo1PUKjBZwFxa_HKi2hQJawwYI2TVla6Du3tMvKrodxdBv3f9qDm1jVYREOCBmOu3UZGLoJai2u5kGJ3RqK1HCrSMm-xUqzp59SBLJm--y4NekptgzZx_hFXeJIbsMAmyCbw4CBss1MLrBaRJNoKgZlQQYtOyGjMDlFAPIm9lNFGNGQRKo3Un6MWdvCC1Z2oDSJdG6DT0L9PE4MrcqPTpPOlzgRMQIuus8Zrh1JnTNskwnYZtQEAz2n-VWW2i4lgDjeMEZUcL6o9rfRg3jZY5TXTjWKoIeS7fLjb4VkdtZ6r2kdrSYys3-jGKtLmlv0iTYrF6XQLi0m4IHCindVmxJbq3ypg4PIYN5N9l0TO1PXEwASOEVzawbdpidkDUqjoJaQHeRsiKUqoPAndTudst7HNqtDiSIV9DPpEtvbcEK4M9VzWuILQTkrFig1xqOJJGkeVlU3O0OJZj3WKsGjD_JBlRa1OrANMA6osjKQIqA6h3T9P91K2zvc0OJMl4WK1JhW1jp7ognBFkihUeC1xad8Qgza-4Aiy6eCZuQ23-ymB2humx7phUKYu03jlEoOdpESUZcLDtvKB21dI28ygXW0kkWIwrrWuBkEkwVfT1xsARcTuniJvffP3Cmo6nIb9QlQU1amjnF0DaoJtsgiJgScXjlBZtQlvcDnCsDsqd1j8LTNaWvAE6rG1kWU9OIucYKppASHjg_hS8fqNVJ7RgnOEYaqRABDZA3RWukHNAJNuVtprpVO0gCbLNmgue95tEDaVzEw_Tm0LTQ03gkGZ8rN7Fg4kWu2JtmVhYLSSb2jZStL6hpHb3ZsuVVzh2giYA2UjcB3daNsyrWr1BpAOwI88lcrGJ2cCHwMnYpI6RelUMgyARe6lVqD9JDrQVGo0061oi3Kwy20aodBAwEXGug7BAj3KYvjdQfI-oAlc7Md-N6WD_TycnKjShJe8wJCz4KseG6ZNxwcIa0sOkkiYJyo0Zr7mLXlEpjUbpsDc5BSmuZV01ACdUW91IqhqB8E43UrcsxopnVUEYjhGo2U2hncZIBWbelVL5HwrOozQbVDok4UrMJVrF0iYhC3sjKhkACfhRSP2g2m_ha-J9BtQg3vOSsr45z4I2dESpJ02nVcZlzhyrWOmRzoce2N5V9LEDUBfE2_lSerqukZJGnwuuGlJPn5OyxYuxSiLOvxtKz2a0NIDXFtj53XTqmmoESYJHus1W6lDhB-AsXBRr4MrIWrXJkTvugi59z9REwqLU3amiC4bKixEYNjvlPQ2sRAz5VDUyDESJ_ldOKU9ZsC2cFdLGJWdx7w0znK5cm1A4AGZN7LMtinIvy3NiqOHGOboLseWiAPhaiGD7FpvHldPYrHVqdxvJjCwupPeS3tM-6nSIl-n6p91kK5wfJwrF0C6BNjGFL2jg4OMm544WpEcKuh0kxOIVNWZ1LSBvc5KuJoueXAQTpxKig_TeCQUVJzpschAKboMHuvsg0MfFj2qaK03uMXtKmdi5qYF4WlxVrzET8KeoVxLtIOLpbgWoLCP91i_wBmFpRa5EbqizYlawc4gx5UvQ6nwAbGJKmizAX3JwVsXDiyNnDcIzZqof3zJlFnQuJZYm0KqZtUCxUZqzXw0WvtdWJcJUcSL3EqJ4VjiPKNQCCCSCD44WWlGkTawRM0ZIGInlRkxAaSYBshn0cCMyNlb0ypTmO6QFY6QrjZpAiTumrOzsEvyjFqh0stElRmXBY-Xi6mrafUCRxsFUMKvbAsfCuoU3vKmgB1zfA5ykAbUMztsi4V1TUbogFwMOt7rUFvW17yFQhbOByompFtrD7IoObbNkZSfScXZsg5w0N8FFl-MVa1QnJhZ8VmqhxEWWVnaDgW3yVGqYv1ACD5ko5qA3MGPCK5zoIBFyVKKazAkjVsN1NHF2r-636EmeZCiYYFzgBafstwwX1A1suJhapj5D9Z6z1esIEuaDE5Xh58tvTcmoaqp7tMgbhdJ4knZWsdWcdLiGnndSTWsgD9EfV7m03keArekx-BC4B07iIX9Ox8PaZlQbgn4UZMZc0OBObiEVRrnAb8oSFYQKgFiDc-Fcaxc1BY3KiZIDR6smIMyJRVJdINuDAQOHkkSY2xsjOOa8McAJJ_7hshriWvdYycounc3axkXCHpmENOkiQR9kZkO9kiNMGPdEuMNdh1AxvwjWMr6DZLiQQ66LpGs1G51gn7KqpTrsa_ubbEqFK931dxO1lqMoGrNok8FbRSkRqNhAyi3uNNMggC8mwWb0nouBc3REcgrNWFYwNJER5lRDAaXcgC0BFUY86TB--yIq1zyWmQRzFirlF3RTE6hJ2UajzK5kyZBmVcR5_V0wNu4_hSms-kgyHSZg2UDtb6dRxJ_wDiQrEvFpaA5guCcytY53fD0XFkycnAWa3xj0KJD2RpIRpu6YgOuZKykjS1opSQ4SRFkWMzmF1QumGjlRCObEuA1PhVsjgYOvHjcp4yD3NgC0gYlRGCqQCDBhVYzVXSSRZvlVrUqdVwLQHd2ZVPyeh0jwQDUIkFDXsUq8NB2NgJRK3dHVDnyTYCyMvULWVmEm9riIhXR5PXdG5jZB8wsrjKz_KADmmcysrBqvEBoNtlI3pKbWyJJE7KWGurUtdKI1AbBcqrwer6ZzCZDxBhCMdRpbaDAzKjbiyACMxgIhDTEggiCVkGrDXAG_lFTqAl50vAOYhHTRkdwJkxMKZDYkG642O6p6XWAZAGkGPKNbhWvglukn-61rlyutFIANM590SdJ9RcGwnkZRbWbWQT9XtsiA1xOI_-KZPUaKD3F0uMEWjhUerJqUTDbDfCjc7YuogNxIB23VdZ4z-nruJ9gomjpdTe2YIzKILtNVskXndZanSTH-lVgHSIyoNTK_aTpuRiUkWJ1HiQWmFHXY86vp1GCJOVzsSXU6YLxBEAKYnKvU6V7HAkiwsDytxnXo639tyGuEWC0Vt6VjWQ6DJyOVcRvoubAaLjyqC5wkBhIsdrFBLSXEltpAkAYRL1DEQ68QB7LN_pwbemqXmO2NikFS_1XggRHKfiip3vMYbEQtDi8VKYFhtZS4rBXJokggXMAqYbg0AQy8C-yw7xv6ek0OMSbZK0NNNopwPkhTBZr_SMsbpt7ynH-2OQdQwOaRpJJ3VsxmdMoaTTg2Mzq2XPXZM3eZcATeE1YdlQNscHfyspThxqNaAYJCq6tTedUFxJNv8AdAh0h8cJjWmfEhphu_urh_ZXU9bw_AlZvQy1CWuD3ZJONvCypXtD2m3uCZhExB1XuMSGxBCLmMpqOFTedg47I3xnRXB098QOEWkJAbYahEeyNTpnd3CXX8f2WeQGk1HRgbTunixVjpaLyQbpUK1zS8xMOurAwgOMY5lUWbX1OEtB0_lExtouAGo2ccp65XuvT6eoCQYAgbo4tQf6jAAIi18QrjWEqgU9QmWjhQZasvEtnSNyjeOpj0wH6YM7qY6SZ2qx4a83neyrWGq1WuADA73BuiJDU5-QAMTuhjVTaS0A_Qb-yIDmkAukG8khGom-uTTLBfedlMVhrjS4x2yuNUKcB1zHF1nU0-pzmyQiyg90tN4lRpMC-RwiemHaAQQT-VDBbVj_AORWbFPTcXEGId4UguyJIIWtFWPDYibKjXTqANuJKuCtI6gdJg_dWDfTJbEH-y6Rlz6p9TtEgZhXEaW_SLQOV0jNaadTS8EEkA5Ky4Wdthe15Egk7eVmtRCqwODmuADslpMlV06edX_yzuNzCx6usjqsvJGCZkrnjSRc53cDnaMqtma9obOq7SmA_UZEEDYbpqKgEyBbhWdigpOAM5F4jK0FANN02icrKGrSGBzYAFvlPTD9L1GmoGuBjTuVZ-jHqUqktk5_0uwtSRBr0w5kkCcgqWJa85zjTLg1hxzhca3vSYllnO1TBIlYqxx6iDDGmZ23UaqtN8tdqBkGbozinrd2qBPgqVtn9RokkYNlMaJVJLWFzjA8WTBMGQ732QKex0Ee03T0Se8DIvumBgT6WqQLqxKXUZvInMrXjJQS4TOsDZZofVMmC0jhIJfUIHP3VHBobkidkDNqQ7uFldBqPIh2kuINkEw4lwMlwKgq0aRm-TKJpqekH_VF4Kq6fU0i4ji-EwQfILTMjZQOTqbJJLs2K1E1VglkzMBVFQ4E6SNQWoRVl2kjbHlavdFWQ4Y-6qaoB6eotBFuJWL0yvSqi0HH8o23U3uc4mQW4ug00yNZ_wBQCBj9hMlZzsTcZEgRKjQUvqtxKmDSyWNyDJhZxY0PBDDjOVitEDgwkO_-lyoIJImSPlR1hg42kz5V9a9Ox7RpEkkcbrFjH07HQ4G4PlZb1UBrS513EDZA1PW4gE-YKVvWthgRuDysZqa1Mq6QDsMrOEbumqAy4kBswrF9b6JIMyDus8_1F3OlmvaXiTB5XN2lW9WJnPlStGaQ8ONgfbCyKsqQHEyYQU1yQQNgtYsNr7YwJlZquDwSYucQpBZrWhoJOk8K-9DT07iHy4Sdrpit3qnSBt77rnZdXT64AvBPG6vrO6m-pPHkA2Wau_srXBzoBA8QiwxeybTbyixN4JJ_d4V-JU2uLTJMjEFRaIA1742VzpZdTqv0A9uUxWao8OBEQCLras9OIxf3WZMvSdK6tN5MxgLZpTVJP1ElTNYsWpVdQEOg8KSIuKu7j3G0JellujTcC6Dkbys--t69BjoaJJcRvws3FBxHM_KyFLnNJ3AvIQLqG8gned1QaVbSb3I4WoNdOoBcRdTwUDgDeAf5Qc2o0OMXm8LrxSrl3qXiALwF29jETqAGIuTwVysdHZdF7CVnJA5-kNIHJWaOmBf6VZAzKg7ozG63AHE2IuT-FRkqGHEkweFnwAOllgQCs3sZXVNdS3bE2O61IEb3AKjnEEgFEPSAANroOqAiN9vZDDUqcgAEW5C1KxYrZjZHdBxwljWg9-vV23OVMXSSHbY-6iarpGkTBP8ApFkacWwRp_KgrScG2j53VRVo1-SNgjWrsqQJuZ2XNBEPOInZagM6XWILRaArV0rQRyGhZQC403Hb2W_AHVQ4f6t1ig0qwcSHSTsmYNFOpG5C3BVpdcuP3QVbUaBifdNDB2pxBgx5QUZdsbolHUYFrZRmw_qah3SG-VlJGdzyHHTjZS10NTfLtwTlBcDtEG07oHhsGTJi4TXOgDJta0Kt-iHQDvGylczB_nCsvS-G1AtFo9ype18mma7NhbhVgHVJIjfcrOLO6AsZFyN08WNFOHZ2MLTIuMM8oENUH3UwCSAYudhCoV5sAHR4UC929lbgacNJM8KwNT-rx7LUFJ0tIGCVEwhqBthb2RRtiDE8LXrGkkEuE3lZakQrnUMhDO9ZqkNZeJSZistQa4IsscosZzZxElZLaU3NwIHKzqKeoA3SLRurKAXgg2ncKhxILSd0WxQ6S0zk8IwRzg2AJRdT9TfG8LcXWD9W6lzOmLQ6CuH8vPIsef0n6RWr9P8A4h7HFlyXAQFj-Pj-TVydNf6Uz9N6gPPU1iwYFNhyunHl_HZfyuM2X419J0XS9U6aVA-m2ff3WuP429S4VCr_AFj0PQVDQpU2hrLHVuV1_P8Aj_TnZf2_nEWarDJxG6_oj4oQyB3G5Q98VDiWiDICGf2rbY34KLpKgDtOn6t_Curp2iW-1jKiHeRpIZk3nhEKLEiTzHlG_jRT7YBJnJB2WsZtdUl3cCRw3lRCy1gEi-T4UD04cT_qlAznyQYNsrSrg-owDTAPBWXLlx2-oupa2AXkH2lHRlqsY4uvcmLIXqaxup6QWkuaVfTjdm1HBLndpiPdGyFxYJzabrcjIA7BpE5JWhZ8N0gGORyi4qxzhGD54UKOt4IJMzgSs2MqFsEkwYiRKyKknEQMBRcdSf6bTBEkwZ4Q8WY8MLS0y3ha2zoVLmv-oxzKhrJ1LRUfIIcOAotvTz-qLdJJBgchXHK8s-MZcWu0i48K4fk6S1oDud1l0a6bdTm3gHCC7WQ4GZbjCI2UmFsAsLvdBu6aLy1ttipe1Vqv9PhpsCAss3_3FfUDu6Rb9vKKQMBaXNm95CrWJUz6lW5M4JVrPKBVpAtIcbg2dCgwdRTdphzhpHCDAS4CCTflaAaIbYQQMoNDHCWG-qLI1Jr0-jcJAcJ90SyPSo1PTnSJgIPTo1S5jJfY5lBrNEVR3TiJVajF1XQ3OAIiYWTMefVoEDknAK5XpAptlxiVZ0s7NpgEBsDJKxWmLqqf1uaCSeVhXh1GFxc1xIBJuQjSJbm8RYXygDQA-4gQshalIlwkGDe6CEOc43EDKEceQBGJ3QK8WyRwUxYk0ASc8e6N3uaHc0g74KOe6pTcSbmI25V0Co4sabSCqMzaoaCbzwmFHTq7wc7K_BWmQ4y61hEpg9WlD2hriSRglR24-I1hpbBOfKLrJOm0AkZuiAyoYLiBHCVcPUcwtgEDzCxGiGk2IHccoKNwHACMBBOoC2TEOOIWUYagmZ7Z5WVcyprpkY2lMK19If8ASBewBVlZeu2fTLTa9iFYsaqBcYaSCVtpto0TpBLjHlHLlcUcCdBa_VFiMIxtUot1c_whqvps9MAnuNpKMmZZjewSdygsx0GY9uUCVqhaZcSApRzHHSHAi-4WNPDCl6uvWA7cQixWl07W6QQPhbd_h6tYUmmAZBvCmMXl-kG9Q8VNTBLTypenRsZ1d_og4KymOHUEuiYEWBT8gr3NDALAcysDNBLw4tmLyED1S3tdGoEygfpvpFyItZBUgsADQXXzwgb1BpyL2CjUAODrTLRkFXW_gOJOog42iyzfXPUK0Oa6baRhLV1FsuEt2zCjaFQAucTYnElCJFgeXEkA-Ub-JOcZM23EbouJOcHNMuPcjTOXdzu6DEBTU0YgEzJUqhrMOjAzfdRKZlRrntgAHmbLRpwBGY8qqo1-LAkZg3-UTWuk4wHED_hI5316FB2ttwAfpkI55lej0dWTG3MLbX0XEF0OMDI8rNXGauS36TAdngKBazyWi9uFKn5ZMTptOo5O6kJbValYU3Sw3wRwq64m551uOkadkNbKLgGzBJBkg4hVDGA5wAlszZFiegCSdIGblStTth6guLpBgDcXXLk1_iTDqN-6dlzxiztppvDWkjEWC3jSLotDpBNws6ui2CQfsopapDcAyoJeq5sjByChqnqkGXHSVMKu2rJJyYzOEwVplz3N7TJEzsqjbTJIlsQM-FdS1WgIdezh3W3VjOtlOq6BJJ3W5EaWxcRAhbxdNTh0NLiRODZaiNNMkQGggH5VS5Wmm4tIBBtuSo4mc5rrXBySmEx53VVJBaQAdoUx3kx59Qg2JMzaVx8aZ_Vvo06uCCpWzNqBt5Fr2OVUVovOoGQW-FnxK2USC_6id7LpLrGtF3lpBJA3XTF2gA2NLoPvlZs1YzOfDiA4xMrlbdbK6z4DdRmxQa6VaTJADp5W5emK306wcMWbwt1C1QxoloDtW648-O9jza4Be6bSRcLljpE3uLJgW2M_lMxpzqwLRkAHKzh6dp1YJ90ahZuLglFcT6hDg3_YrNHEhv7RMGfJUzRB1Uft-bLXgV-hzZuRwmoRjpsBIxlE3TlpwDOwkrWhtOiNhNwpewLSQRYGZ5RAiHB0gTfH4VCVATJUCteWiTMYugJdIJEgERdAoJDtWYEfKCjXh_kxEKigB0cflKFyBOOVEx06XAG7Y3Kpp2aSRNhgAbrUFHQDM_CYjmmLWlaFWHAjzdaGmQAL6vda1nFG940wRIzKl7XFGAUpGx3XK8cTVqT9LtEz_C3JrTZReXxLr7DZL0KOcZzF9lKOcQ4kfwufqwnqEO0tycbKVW6hUaI1NmBCK0OcHCMEjBWbGkXCHTJ8LlgakYsQXfCuNGEXAFyufcUJALfBUWTpq1NN41RtKlawzC4ERYgcZWsXxRjtUOFvdcb1ReiQT_qJ4CsVogtmZIwAVkaund_lkzcnCivUFT1GCDBjCi4YOu0ggg7lc8bhmmTpJ9pUblXa4taWiJOVnG12ElrZfnIVwVp2nI_ha1DPcSbmWKNaak4CHc7cLnVVpuLi6Iid1JBZtQi4ErQ10ngsiIAda6xUo-pDCJ3wk_tCeqRAbbwEskaUcXAxmceVMCl4DS4giDCsg41S10XgnKz_AE1rpuCRec7rUmxfS1HCJNtirrP-M7yNNhI91BkqFzTNiCnxE2uAJIsONwtQxU1tLRNh7qqVjmyCCCYhBVrxSBIHcmFMX6jOCedlmopRMuaA7f7rOLK9VtSBEg_CmNwhqiYgTg2TMaK2qRa0jKqDMzBjhSwgtGkDBumyKs1xGYnjhTRQVSzgArUiAypcCc3lal7SttN4IEEfK9M8YB0EmAJPGyxVlO1s2hc7G3aYBAz5XPFSJcwG8-NlqBWVQYFzwtCusacACN-UGepD2kxJ53QQc4ntdviSgg4hh8id0RLVcS6FcFGNDjJ3JuAl4izwQz4lTxXMuJt7oKNIiAL-61Ixak6oLw24W8YA1C4ui87rN7alGbnUdIws4vqzZAbsMSo2Nw0OgXWb4UodJurEaendclrjB4VVUO0nIPss3oWDjpzdTwKXN2AvzyqAdWQbfhWCVQnJ4VXSNfawWLCxSlcasey16laTUBgyfhUPr1Wm3lPQ-q5E9vKnjFilOCQcR-U1r4o15H3VWGFQxJMTwqzjvVDWnjeVml6IWFwsZkbLNpLpwNEQDaEaXaTHHCA6g5pJJEiLBPGcKHRYmFIsMLtkXUtTFWc7LUSwxBuPwdkT4H0nOUJNI10k39lVz8e2hmmPss1Pq2sC5Aicq6yRpPwgV7tO0EbqgBzjuQf5UCObe51ewVa2Y4gAAyT_AGVkZFjoOASmioMiDF9laGwMjEKiWotNonhRNL6oETbkyqYnUqC2wUUjjJHEIM9UgnUb-FmiDvoH8J6qDgIIsZ2XOxHAhrbKWaIFhJvBHhJ0HLCNMbHlbWKMvIJj2UWqsyQ0TG5VxlKpBIJcBsmK70PWAAI1RAA3U_KeI8frOtH6bVa7q6eqmx0kchY_9t7OXfi39V_9ROl6_oKPR_pbPQpRpedMK_y_yyzOExnhx-8nnf0p-hM_UKxFSs1oF2uN15px48r27Xl-M7ev_U_R_qX9N_pbuto1GDpnH0w7DrrvZ_Jw8vTn-XHl2_zGvUq9VULzoJwS43lZ_GQ3-34xqOEHcr-nPh0qbdTmjAP3RZP0vpLIbwUZ8BrDUAm0FFO0OkwBp_KBmukkgQd0AdIJEEeUPTO1SAAJgIrtY7om53Wpb4hg52oSCZsCUAcbgEZF90Factte5mVPFUp1AXAEgnN901nNUcARA_ChP1RFIHLS0oo1qVMgCJcOETl48zq-neAZJN1Ys8ee_Xq0k2NrrQnTaZIPdGAQtotqg7TiFHValDmjlGLQgmQSCQjIh2okAW3Waer0nNu57bYAys4uNBJIkCwTV7Rc6TGJyFU1q6ZpgTcbKVVXAac5NpTESqAG1mknbJUW9MPVDUXAiDG_HK1HLm81lEkkn6U1jjOx9NuvSAByBdTXdopWAbAt91BsohoGDKC1FsvgEwcbpVbmDRH7TiSsqtVpioBpAscf8KLkRcxznQBOkqphXMEAidItCKkXubUvM4srqVV9TXRAAuLQsprzuqDg6_weVYR5tcllQiJutLibKhe4sntnZBopvINrmIjhFbKFUucJsWhGa2sru-qIEbIj0OlrAtGk52RY9GjXgeRlXWpcbidTZtYfdRrWSvSkAnA8KY56gKbdYE84CzjcRe30wNV_hZrTN1MGk6TfaFzo8LrKDmAQTe5usrGWowObDjdFTFIsMOktUwPUJLdjO04UGZ9IioRsg5_-UwyAQNkGIO9R0TnZXWpDtAa8CRzZR0-JuJOrUb5RxwfUvgANP3Q1N9XW2w-VoTDpHJlWClJvaTBzYFNFBEhxuI25TRv6TsJ1b8KOvHwesGhjZbYlGqwtJLy2PJRC1HFhggQVMXXOh7mtBsbqE7aqZbYGAYWWgkB0DE2C6Z0tCuw0zAHsSsMsNVkNyCRyo1EiXOIbtkwoVr6WlDA5puDujFezQfqpwdhJha6WNfSm4sS4GQVS3G5z3ahA0ibBVwvdWFItbrEk-TIChgCoQ-5gabgohalYU4DYcTdFd6znBoLWz4QyqvrQQ0CY3Rr8ao2oXMIJMjY4WazlKXgNDfxsphiranYIzGZSdrFKNcuZdobvKtLpDV1OBkNBzIUb4zUpFObWJtCzXRR7paLwORlPQjXOJkzE5BWA4cWskggusiDHpkaZcBgSgIqQTDSfGUD0yWGYIJE-yKuHy0CJm52hEAm0QGjBOUF9IY0HAOTKmt70V5OkmIPPKyyVtEzzN5lUJUYyHBoPso1O2GqztILTAMQDhGog1shpjUTnwrWtCrThoIED7Qo3qLmwA4iQQhrPUOkFwuLX4UMRqMLXiCPZTFAuhpAAa1RKHT__AKJvjhVI2VaYAEiRm2FpbcTbUvEkEbfwpjnbvjb04c67BLjyrEn9tnSnt9hg7IVt6aqWvB0AytstbmS0i4MRCzWtZ9LgHB06YsVAkAktmcQTClZsQqVjcCWxuEi8XOBcGuJvj3VdyPrFgbtBWfqY1UepAdLrlwiNlYmY1zppgwCRkjCqJdTqP0wQRiVK1GCs8anEySBcLnY14n6mkh0AA8LOBmu9MaZJnylZKXkOFm2ss41I5nUAmBE4mMrLQPrDVc243QLLSHXJnB4QBpLwQCTG5RFqdiBBABuUVpbep2m3KRlu6eqNz4gq4zWhrNZDrGTEi0BdJGK9PpqGvTF5t5hdIce47qaLmNBIsPqjK0qYcabBHcJkTmEVvo1DpAEFpyUZ5eL-s1ob3TfEIfDes1sAG-45RqVi6sky46R4AUrTy3fVBbabLnRGqLOgG5hc9bLTAc4EuAbiE1Gj1JALTLlGaalWcKjHbnaFudM49Si7SJ0gTsCukKdw1Yu7InZbXcZq7S1peJg2uFw5NSpVKrYINp_KwaNGpDSbgjZpVxFGVjrO0w4zut1c1pbV1vgfTMkTlWXYzg1eku3IBNoKn4z1qMVRrmHBcL5XKtM7XhjyI7TctWMWHPUCRaDHKjTqbi5sObPkKdtKTDL4iwnCZ9AJL4JExwoI1gQ2SBBKMWs_qC8O_Cg5j4Nxpv7q-Cs75AOyqhrJkybIjjUdGIJuUBdWIiN9-ECuqWyL3QAPBE_hArjBaNRM7EoOptcSe7_hBUQbtEE7wroox0aQbDwoBWJItsgRp1xJvuqzTOdAwTNo_wCUlZ1QSRAuQtStCIAxN5uropTdcR3HGVRoa8ENvpcVrVxobqlruPsVWNPq1kbcqTtGhgxJxwkbaaTbAQQYylZ1W8RF1mtOJLmu1Wi1rLnYCPpEjwBN0aVpv1E7EYUVqpG0GdXlYqyneQWEEXjbZZUlPudOogf-ZWbV08AHTd3kZWSC8Q8AAR5UjeqNJfciNrXT1qXpVoIB0yRwTlL0ugTpJm98cKe9q1Uaga2Gid5KwNTDqO11PDcaqThpvys1pqp1jp02LTv4WMWLucIaIB99krR2VDe8HgbrkTpVrzEwG-Aq6bjS2qdOlv5Q07ahcJBvGyGnDjAdl044Rpam8tbcAgKYuiKjWm9p8qK0Uql7QLXMrF1NP6g7jf35VzV9Fzi2wInMSpay4vIiAo0dtUtlpnwTkLfod9Sf8sfKzehNpJIOT5KkDGW3I3VvREvVDmtBMnF1f9a4hWMNP9lKXtjeRuSOVn-mLcIHyZOJWoaZx1WdB4WmimzgB9gg0MfDRu0bIOLpNzdRrItTcG3d2-yYfjGyj1BtItHKfWvDMfq23sVixjeyl4JvE8q-NHaQIMWxdXpZdWD4E4uudVzHB890jwrICZm23KtodjpJtfwFZBspuIbwRwF6Z4xYctJAOVPWVADpB-n-6ysGoYEBsCMLNjUZarnXgQAs4pHS11rkRhVZFdeoltr8omovdBAEF3JRUHHdwk7IM9UgkWggXKJ0QOBbAvfMK6LUamlgBzOOFdTV_UJYDKy05va04AGFcBDpg-DeFtyqFRwa48pfEMyLuJI4hQAnyYPCza3KuwzE_cqNi69ybcq39AFxiRceFMFWOLc_wgfWQNh53KzbRWi8ucZOU2WCjT3CYskg5zpHEKwSc6QQTtKomagIkXCz7V1zXw3ieAtI09O4xc_ZUaLAiJiLygcAgEkQNlmodrjkQpIzgkkvP8K4s2KlxhwkDwbqrpdZEHeLn_hSp6LToPI5KySYYvBI3gpFVBgENvJVUzTAIugUT9MLIek-wAsfKQWEwAbStM8vHB82d906-swj3yBi-Lq9OgsaQQBHkKM3tTWAb5WayoHCI24V-MnNTS0SrioF-omTAWVwWuzvFlUOAGySQJ2lawdpJEbe6oWSBqgRKxJ2gNfJ2E8LUhOlC5o1RZJ2FdUxbbhVMQdDyTec24Q0AztkmWotuA8YIuENSqXwYIUwQcCDqJIO6zehndMyudE574M-4V-CmgCTxuEiuP1YMeEMwWOAte60LSNjhL-0TpUzUqtptHc4wDCxyuQj_XP6X_6Z0x-iGv1NMGu5uprl7v4_4Jf4_wAq81_k_wDU_wAS_wCq36ZU6T9U9LRpbkN8L8r-TePPL49k818d0PQur1Q_TrpNIJJGAFOPH_6HJ951P9c_pH6V-kU6fQdGx_VCNb9K9tv8f45J25Scq-I_qH-p-r_XarG1H_5Qu2iMBcfy5WWVrMeFWID4hkxuYKxezt-K7axb_df0_XxGGENk7jBUdHEOdedwBKM0Ydri0RsjCusuc0EYtIQcYBMCQETBJFRwGxF9ka8c9-kCAYhAJbqBOCNlYuH1EjV9lopgGhjRJPIj7qMixxaZiPCmgtg9xB9-FFxYVA9og6gN0Z7ja1wrU5mYHCNxJzQGlwkAXtlEsQfDnzMk3jwrEZa_RibQZvIVLc9YH0DRcQZ3RZ4ysM1biY3XSkq4rf5QcCb7KDmkvb4QuK0sieIspZoqxpJIwZsk8Z9aqLZcS6TCziyBVqNBIiYxCJbPDUnBrdLZJdf2UrSrxLQSCXbQr2Vla_8AzRqMuBsmMS9mrCWiYJwfZPG7NedUaGu3v4sspgMaXRa4QWYe_SG5xZBYzGwCDT0vaDEGOEo2NAeIgyLQVlr07ZMSYv8AJVxNd6pc10iINrQmLpKkbmwTGbZGSo4uPaD5PClW2KFoaATJExZRGTqGt0yJIyCd1W48vraZcXEHzZXRlYTpaPm2VRX1iYBbBG_KDbRBJBEm1zKM1q9QCxJkojf09b0mtaCPcor0KFbXcGZyhPW2n1JNo3F0a5D65cZcbYVjJdUkubAE4Cza3HOIqtzgYWb2rFWaAxwiTi4XKwlYKlIVAGELODzur6MNPbFsyjXjK0Co8kTGFDT1A0NLpbJsFFZzDHie4nKzgWs0vplo-n8rWDyXyDLctso1BpuLgRhGvy6dLoMm1kcxrmCRzha8EabS90E2G6mij2gNzsrKOpPEE9xAt8oLNg9pgAGfdUa6JhwF-VHTjcU697uZA_ajdeZ6kbk32CI5o9QkSbmCEqKsHpnSYcI2UzW4cEgyW2iJSzGz0iNUx5BK0lrqkO1S4knKxWWJzAZBBhTFMwMDsQCMlMXVGOIeA02GSmM49jo3B4cWiSCLnhBs3BFjvCsceW_kvSc3S0yfPKv1K0HqtTB2wTYJjedMdTqXNY6QLdskyss_jUGdS7W0WjeVYfjY2Ui1wl1neCjtOhqnQ6RNsEGSgpRrQwAzJuJ2WQlOs55h4MzkKs2apT6oMJGT52WU_H9LDqP8wSc8Kb-0_G_SdR1ILewjX5V11kwzOoLwC4gEiOIUpR9VgaQ4wVlHUa-pwa4WnhZ8FraTFjOSbICWgg-MkboGBBYII0j4KBpBbrFwMjhFV9UPENG2-6Ia06IJIMzspocPe4wQCeFPVxz9RJ7hmfZUUc4NpNOWnjZESiQZnST9QWVjPVY1oiSDMo6RmBFzBnlFiNQ5EyCLh2UaZ6jIDe60WvsgnpaQAMI6J1v9JETjdTBme4ufJFoj3USr0gWEag2-YCkZek5rq1GLDaYW2L2897Aypb_9IlRjuL0qwDgLg7AHZWNRupPJggmYhFbKD9OmDccrTOPTbUFRowNWQbEozdJW0tYGtF1MSXWKozIJ03kFZq1Bw7nNk-DsprfBzqgjwTyldfIL6RbMOExN1dh6myq8hp1aSMiLJ6mPT6et61Eki8WhULVfpx9Jaixgc4HuLiSbLCoatD4c2Y4WFUpuMAkX5KlUHvh17zwsUJqAHaCCL3QI5-oTzxlQ0rXwbkxCC_TvJ1RIB5VVZ0wIm6ziGFW2ndTsxehUJBEQOYW5pjUzqDYgkAWIG61rNep0nWloZBMi112iSY3N6jWJO9gFpm9A4NNRrXXG0IbDsa-mwPsAMXyol5TFWvNRpJaJBvdVfVGEOl2rwJF0J0n1DYbkmylV5NUgaQXEidly5NTtkqVAXW_b5ystJNeYc4TlYVoZU7QQ4NPndbDCtoJF4Fp5RloZ1QlozHC1Er0emraW_OAurOLEeq18SRc4WeU2L482swTjS4ZAK4eMp6w0gAEjA5WvW5Q9TQTd2cHdWwvbTTrFjp1SQJg4SfpI30qxLGkvib4sujSHVFxD5yN9ly5ztdeW4uYSTBbGQuSkMElzrLLWLsrCQDMYhRdEO7hG-CeFVi1wD3d20KFQcTUOnUAN4RlCozRbP9lLArC0GATAuqGdVL7yb7JIBMXF_AQUc8k323QAkQQLgeECB1wIBHKJri6DYrXw0KkCHAg-6yqrCHAZBHGEBDoybncICwOte-boDeCMR-UTXA5gG3lELcumzhsEZUDobbG8JPV1Qk1MLampuAF4mMBaFWuIEReYRG2m0ta0GbCYU1lYFoGCSt-xcPO0EHlYNa6B_wD3oyrEnq7BqMGTNjCVsC0nU4bcrAk90SJz4U8aWpBwjSe3xsrVamVC60zGy52ak6PVGq-MWWcrYf8At4GcrFgJcHeYCyOa6wyo0tSeWsicYRqLU6rTYgxvGVM1qUZlxsRPKsnTS9KLC5bhYStbG6Z0zGwlZtxIsGkgkOIEc7rLersIsMRwFlGhtclwEC-fZSuvpw4tM4GwWBZlQOMGbpI00tqkC4kDKzy6SqUyIm44WpelitJzocJkZscKN6u140AuufaEVMOBe6CIF8ys1daKbrg5HspUXZUBhvzBCLpZ1VDaSb4WKhQe7JgKNKNfrqTM7z_5lXwO2oR9IgnJV6zRRh0xafMYKk9Cuqa7cGfdawRqEh0yGzscq4qZcXNLfFrqe-IgXAACyYFcbgG88bLSYDTq8EWBUU7nwZAvGwQMXhoEn25KUcx2qT_KToVY8tvOd0I103B0GZOMpmtaZtcAgXBmEyfWQadRAkGJysz9N8aq2sWvLTHuFGvB1mL4O6smdkFjy1vvYBFVNVpyTwmB6LsScK4NrKw1WjC0np21hrAiQFuM8mhjgR9No3Vxh1QggOkkrFWM9rgEwMrLpuo1HB8ACEUGkiMCVcY-lqFxiI8JjaLyW2sJ8piMdeoWkCbmyuJ19IKmnER5UNPSq3OEvTFUZWkECDvdNNOypc6rg_hXWlg_XBGwuFqMg8h5JiJ4VqJaiCbO491kMx4I0zIBjygZ1TQZm39lMdNT9UOiHdoyhrQ10jUCeFk07H6WmYuUUp6m-kyTtZTFXo1LTvumCvqEAgbZ8K4E9XS43_5QDqKugWsYyVm0JRqBwg2PAVgqWlkSfaVRSlU0zMwMxys0aG1NXgFILXtJsVoUafhE8M54hvIyih6oJJm5QcammZ_3U9HGo5wkAwSlBBgndZY3F6b5sdkal07XDVAMHYIouLZEA3OUs6C-oBA2CkGhtXU3g5gqsX9J1Hlx_mFWswAQcCfKzqnDiS0b7K6hg8gmLwssWKCpB3V1MO5xcBE23WtWJS5xOTHCN4s0jTN5KaxZgzqN8rRD6tM8ohCZiYCmIQtE2VKdhlo_1cpOhKqdIIMg8oINfBzIIiyCk9mChib6kEtFxyiYm6H3ggoqbu8gnbZS-iVQgttkBZohr7rZG6wBTdJzdWdL6Yktg3ujXgarfmyJVGAFtpIO-6eMPpf6M_Q3fqv6i1zQAymQ4gnKcf4eX8vjPPlJMf7J1f8A1P8A6b_Sv0o0ndS316QLDSbkEL9r_wDGfw8P4fxns6fmT-H-S89r85_9Sf6qb_V36v8A4mkAyk0aGyMhfh_y8v8AzeX5Z0_V47Jj47qKjf0_ow6m0lpkRN04dQ9eE93qQLAuyo3xQ9bS6HOgbEf7qYXtCoBUdLnSecrTnr8ZmQQD-F_SnxQzI0ztfwjoYVGxAHt7ozSU3wYvfCMKvHbgnmMhFAREAEDdGaqGAiJtxuizopaC6QLxuUahmBv7ZuMxhCgLPc4Wi0FaZUbBaS4BKsEthrhIJysrTNElrSDJ32Q3Io2adztmEZ_uq9NWtAJlGtUqN11BaD5OUNRNHQ5zg4TsFUsdTpvgNqNk3EjACan476zfqHTlzW6AA2FZVzI8N0tLhIIxdb1nxRhJpkxeN7LWKHTgazEk8yoNYJ3iRi6irOcA0mJAOyiGa8kEE6Z3UHNOkkkiORkqJJI0Ui1rBIubgyriynbXDdUAt5m8q2YrMQxznO_dsss5qLXwYP0_9wupWLyxOo0k6TkmR4Ub48t7EU9Nt9_KNH7SDpkRyiGB1DSZ-yDRSB1QIaYyQg2Ue1xBcORG6lVV4hwdkfwqZ-0zYGJ1cxKAgEgzB8wpU_1naA4kAOMm4CyqzSabQS4ZsIRGDrXCmdG8I1Hl1XhrjAMHMKq86o_Q8xgrSWnD5vMOCI19JUvE3G6D0Kbm4Jn3RFQ46gwczdBu6erpIdBkGCAitjK3cSARwppWphJA1QfZNXFqLdQxJOPCiuIgYNzFlFxMhwmYE7KeEZ30gXSZ1HYLOL39eZ-o0Q6pBJJAmVz8X15rqLSZAMZhQzEKrHMiMTsjUZwC2DJsdwgFSsQwi1t0HlVBrcYMbqUI12lwFyUwVpiTDjFvsrOm_wAStjSQRYcq3tLMIHk-OPCMqwTBgOAUNBhA1G-faEFBDZMQ44JVGqhUDpOQbAqNcS9Y4ufu4-eEdGRzS2Wiwn7IOa4tBEzfKmrDMqgwwW3wmtNGv_LZYl1lfTRFMta0C8GES0dBDrmSs0JWogs1QfcFE1FjSXgaTblFa6FIPLS6M4wg9Lp6IY4WMAfdBsqAsktGkgbo58p9Myrpie4H7K_XPUa9dtEuIkuOEtd4wv6oh2pw7Tn3Wa0Iqa7gkCMlZFemrOLiX42hEbbNaD-7JhJVc-oAD5F1cXCmq2YJ9gs270lSrV2tGSSFJcRSn1UjMHlXdWJPeNYDcArG1oB1B15JI2TUa6VR1VoMxPIT1Gqi8i5vNjGyYjWDIb2kj-AoGaGupgDIKCVSkWOs6GoKNdDCIuUUWaw6JAss6jSKup5gA-QVYOMCoJkE4hVdVqMDZAIAjCAU3yHsNgRvuiM9SqQ0tEtEws43xQe57v3X8JjaTwKmR7BQZ3w1xOknytNTtN9doJGnNj7LKoVSCRpkRdGiwWidkomAGSYIcdgsk_sabtLgDc-CkjDfRrkAtJ1RtwtIStRljnNGoOxsjN7S6ei5tYOJA2hUemGgidMO91FVpu7QQLK6l_b0aBdULSRpgTf-y0xWiu2dLiCokYa7XAtIkFYaZapeCSQXAbqLxuEOkt16ZEWHCR1l_IxJdTl0ycCVcaRNbVLY0tPOVncGnoKrnHRkTYKyypWuuJEuFwLXWiPPqvax4Iv4WFQc7SYiQTMA3XOtCagAgzJuBwopXPeWNFoQLYw0EAzmUAqNIPI82UxMLTcSQJiVBra4tET9k-Kb1pG5A5UCtc0zGUFGktEyYVFqbzm5I24V-s1v6bqXUyHEgDyF0lR61LrQ8AmBP-kfldI48va0CqyRb6lUX-lgAAFgoZpi4E3wq3BNV2rtkkeEXetQr1nOAbYE2IcFmsS2151Y9zZbvhcrHSMHU3eToJAM9qxtdCtq7R4twoqhc0M_dHK1okx0gOLiHbDwmi9Kq4GRe94VlSt46rSQQb4gWXbUbum6wsLQf3Xgq-pei9Q2XPcLDHlYsT489xcDAOi9tS5fSLNMsz3RlVuBrgkAzbfdBo6eqbQ6BELUvaNRcKlM6gX7TK1Zo8vqwXCB26TyvNZZVlZw9znkSHRsVmtaq17XX_bKimbVntLcY9kXVmVAQbEiEVOrU0GBaRsqyiXCINve6zQpcAJMgxsrOwARdwzm5V8TRa6NWwKhrvUgRaDfyqsM3kzfYlQIWkSBAQwGHS4iwP4V1MOZAABEHKiiy2O3lAWS03EjlBV1M6YmCMHb2QAS4yTA4KMkvqyIC10CTBgxIGOVQwA06riCFM71nD0W9vuVtpazhfJOUFQRpsDfnZSUrTSqmAMTyrRqpuDZbP1XWolUqNAYCLzsmMr9NVFrGMR5TCNbSIdsRf4WWyxqBEx4lShXNa8jMDZNWKMNmx7Qsq0sbLp0wcTsmKao4TnhYxoocXSNRiclZsDtcAOfC5XsIXDUBiQp41pxIMAnlFUokk5nVYrMvZLjRrBbyArW9WpVTYT8qenrX6kt4I_dypn7WKMrBjcl3iFm4p6dcusRlcxpY6SDBg2UblaAAQ6MeVK0enGAbzuVk3VaVWbSFKNFJ31GDCjZ6VQajDiB7K_EXa4loLr8BRqV0Q1zhBtdZqjSPcALkjIwFFa9R0Zk8hCFNQtNreVmwIahg3gDdMWLMIqAxG0Eq4VRoLjDiPgq4aNSqW3buLypZql9XU43AWoJO7i6TYiYUtwK2Y-kg8rOfpEzU7TMW23laVPVqbO8hB1N5LQ0juJ-EDXaJmRH3VwBvdAm-JKg5j3NObbyETYpSq6nWB8KYq2sCRbO6vgJqk2xGICeq00HtBjxfymNywH1REi2lTGfrqVbUNJud1JV3tqknTpEHlaa0abi0kEahlYtVTUA6TnwrxFg_FyOAAtI0UjeZv8AlblZ5NLHgCL_AO62wb1SBaxKgzVXkCNQlc-UVDXHuo16Lal7HZanig-odNgZ8ojM8_LudkiyspbcmYG6pYm5xYSJAjwnjMVpuDri6zWsIXHWCO2DdRmnp1C8W2GOVU1soODyYi33XWQCs43zBRCtDnzJHgKYFc0MOoxqzAS9-DnvJttseExroQGwTNzlGU3VjSw6W7FMHGuS2xIPA2UsWXHNrnWCbEcrONy69Hp3AgG0EjO6YqmpsjAN5jdQ1F1XUc43KFCpVDmHLiSmMxNlTST3H5Cfi1VRXJguPb4VxIejWDnGM8lZaaaZ03GUGmm8OPjgqYKOdBkWVQzSXNs6-xRXMdpZcX5VCOfJxE-VkGjWjtMgzCdUWcey0lZTDU3SbkBKrRqta3lWToCq4dsTbypZglebnGygu14EAnui6M24BcTN4O6Euua_QLnKVo4eAPKoIeWuacmFBanU1TaPHCT9s2OZfz7q-sw1iZOfFlVp9WkEzKhvRhUDm6T8ELWs6Z7gdjMSmo4ulxtYXCaFIINhHMpsPXHeJDeAqJvBcBcWzKCLrA7gGLIO1ahmfZAjmXn-ETUnudMbcIuFJybTCCbnFoEuHiFiprM-XEnErJoETge4RqGk7RGyNGpgEu44VSlqVfSLi2QBuoy8939TfqnRV_T6Hq9IIuWi6x_5vPh_7aXjOU2vLq9S7qupcXuc-oZLi7lcuPuxuM3VaHRBJDc-66_0zjz-u6htGgHB5e92Wq5h08evWbpsO7MJGc-o5aCDPsrjSdRvddrifBTWH46DYMjOwK_pL4vHOpgGcEosrskYmLShVWM0jtIkbowDtViZJOyAsg2eII8oOeRcg_ZBzKYglxAIHyjXgHUBaQ07KmidJEz3-VUHXbMu5Sk7HWXGAYO_lZGlrhEk4sgDD6gvtICMctzo9FzmEhsAOi3CMcOdvVa5boGvut9QKO-IPpksd3WJkRsjOMz-pqANiYtYI4fnYz9V1VV1MhxJiwhG-PK8q8gt1OFrA7rUrrYoWgNN5buAtaG0tp3iCE3fEVADi11j4CsnQrLiDBg_wshxBbBMhFVNMGJPhoCkZq1Fgee4zCt6analWlDm6mktG42TdKzuiHBrSDNissbvTK9kOh0z5UcLxs9B1WJaJB5R34-F9QvdEgRe6Nra2w4aiTzCILHlrxcjyQgsHOdp0yQPCDRTcSRYSDdWkaSTVcRYaTNr2UbkBssa4NcWBT3xbNB7P3McS5wyifiiynUYQ7DRayYzWljDU0jVDd53TEeZ-ptDD3NI4JKYuvEqugw0x77qXpdQc0kg2B5U_JAGo2JMixK00v0btDu6RKqY3s05B83RloYCYc8_Kmi9N51WJamrj0-jbI74t5ysrI2Ne0AgcyAjUVpVZaJN0laWL3xg6cyFNZ1mquc45hu6VEnDT9JjmVIusnV9M9zS_VIOQsWOsjz30m69TTaFlcYeoljQAPKjLC59QszA2CLGHqKgeSJsql6Z3gOENvCzRzdO4IjhWChaHifOyOkpjRgfVpnAiUasReIkE2Cm6z-MNAAs_wCAqZI7QHv0kZErXjB5JbpEnhv91EaG1BTuLjlG-JKjiZLiXE_wo2T1CLAENjG4QRqlxJa0xupjSlGnJFwbYUI0AOiBgLarsLoAAJPMqM0j36RoF_KzVEQ5gaBc5jZGStb3D9o_1IuNNFsEucJGyRW-idMEzIvdaIo3qTWkEzGZUL2V9b0pJb2gSFnYz-MYalYVHh5MB2PCi2Ep03GSYLdpV9WRZrHOtMx9lOlxShrDp0mMJYjSSN98mVMVF4cGOIPaDPKmrrP1D30-5h1W2UWoeprfFTIz4KjAisLjUC0YRV6dURBgN53T01ai0zMTOIWWlabnNcNMgC0KxK2U3ajLrHnhUsbel7qWouzZZrLTp1A6YBtKgnUZGpwcQSVQWEd17ZkqaqT3lxBA8LKHoODcZ4VwbqIBMlsk-cKtYppBa4WJ8KspOZoaNNiTBCAVKcAaj2m-EbnTI4Ny0gOIso2zu-omdInTBymCVWm4t0wcxEzKmtIPYKYadJmVGyOYXSSYBtEIJud6LCTkm17KYjPUqu0i8n_UNllLdUpODQBIN8AXW0XY-50zCM1pMvYIzsOEZ1mDoMOJubojZRqTRcBFyMo000AWN0iZn7rSa9fp2cu7QMKs6u5rngWOlEjLWdMxPvwsN4xF8AtjUDmCss6zlrXvuYaNp3VjvJMVLdTZMwMJVxjqgSQA6-w2WPVW6KqaPUMMl0WwrJhbj1epDXN1RPytM48ysw3iL7hZq-MjmksbpiQdjjyufrWi15BgiG7ymNKuLAJBAHCqJmo1rhiAsoZrjUfqu722Q1zmlhIH1c8IqrC7R3GYtIRUzqk3JushnVATIsVAfUdkGyIvT6h4psgza60za0CpBG8GZ4Vhsbukq6XHwF0lYs3t6XT1RqGoH5wujn340irEwIa61ygZjtJeS4eN7KWMrse405L7YngI170jWIJIF3A2JVdJJJked1ZJItMH8LHKH1leO0QYLtwuVjpJvrO0FpM2kyPKjSjtTh9UeFgSJDXAzeIBTBza5EmfkqwaqdUvpkl3cdl1lz1Ma21tRDgSXReFrf0y2srl9Ancj7q9pWJ5cDJN5wVysxlOnUcwucjcMKxcSYscI1jQyoXHJAiMIrRTq3gNkNtJ3Wt-JUeocADLDe652MsZaSCZBBzC4ZlWOcANIIgAX0nCrccNMi-r-yKoHOvpsBwpKJ1KjiQASVfANbXATndT0Jr0zBibQrgEzkS7BA3Qdqc0mJA4jCsTDtiAZE8pVEuEg3cZyVBwqSTiJxCAuxsCOFRweKrLi3BCeVNc1xgtE3xASquwNcO434O6iacsdyJQ1Iv0kgnARnXGp2_3W4s7FgBqSQIVxcHWBUGfjCYYu3SQCBdZY0W9zs_a61GpVZlgOq26hWhpBiTZazRekSD3GdrDC1Eq9HvmXRtCuxlakIfJyMJRqpOhoExys42oG931X5JWKELiD2i3vlZ2roUnm5JnZPYrZRMNaCTG1lqKd8wRws1pIEuae0wMLFWFbUOoWFhGVzxcc5xkWnxusUkVY8hhiQRso10sGwe3fhRk4fpMRAFrIu40UHS4GYOwVjUXNSQCRPypautDTDAIk-CuamYNBOb_ACseK00CXAAmTtCiNTSS0zCla07nAAxB3xhZNcwguGozO6WNStTXloAmxTHTVaTtX1ESOdlK1K0eoA0Gb5UTdT9Qat5PGyLirHyZcLDjdZZtxopvLsGFU1Os4izTbko6S65gsASTNjwoq7YaYwLXVDhxBE9wUwK6poBMk8BQI1wAFwWjLirA76oc2AJtdTlF0TU7IxGJNknRiFVzTG-pGd7SJJcG3gcIbC-tpObDn-Ea0alWQIIc3xst_DSMqQ42vOFldPqL7EGZwomQWVPTcIwfwqRVz4eCcKK5tQ6pBgBWC4rFxm97lFij3tIO87KVbCsrEESJWJGGtldx7ebrbc6U9QF2MCLLOOimoEwJE3hakxNMx5LzJhaxNaaZtNyZyNlr1LVmHSSSCCtMKOrS3Om_CDPXqgukzbdZs0ZxUaYdJlMVZjuTcjPCsQHE7mQPus2drqBdEzMeUGZ8SODwi6zOJJBcbcFLUh_UGntJxdZdFGkPFxBJAEozTBwdI2wIKuMNNF4FhDYwSukDvdORPMYVoTUQ4wdtwoDUJmbRCDgJBcbmUGd9YsJDcEk8otZX1zJAcZO-yzqFbXLgCDbnlX0g062oifqzCuQelRqDSALnNlhdaHVxa0Aco3Mibqsi1uCFJD0wcXNEGPha1nLCknQZn5Ub9hQ8BkiL7InjqNSK0QUXW_1i2YH2WCq0OoBMkEHF0GtpJbJEooiqKcGdJ4VC1KpcAMN5VwBoDm5H91jAabocdxOEwVbUId2kpgcFwHB4TAwq6e0iTupOg3qaoAgJo7XuQSQsUEOJIMzCmIc1C4GwJ8rf-mFJmBEgnIUina-ARiLKT0UEOcDMgK6KjtBvlTfgLasG-FqJh9QyL2utYxXBxcTeGqJnR2kbYU1DBxc7ugQPupocuE5gcLQm15L45Kfew2q_haEajr8RmyCb3E5JBHhBzHWk4lAlQw6AfKGIPc5hc4GfCBW1XGMCyCVeoSP7KUQaTGAsqcCxBH3RcwXOGiOPwsVSMdovqsVuM3tn_U6rqNMnVErnzuRZNfP9JYPe14DyTcrn_HMmp9ZanUltYkXJs4jdZ_K2unTS6lUbT0sb7rpJ2m_t83-oE6zrtBurfXO9MDahcA7_AMC14fMHV6bpDTcSAETwgrEYMpiPx96gAsLi3mV_SXx7nMBAuTHKzsc6QMiNMA-60sWpHU0tNzsUSud26QL3xKMuDdbScBAvpjSSQW-26AmoA_EouiHO3E-QrqJvYSS6LnYhNAYLl0E_9qaTVqcPhwbB_hRcWDRqIEuGTJQnijCQwGOQUcud6c7T6jTMbS3dXGeE-rtOpkAG177pju4dweDZoIscqCDwzGwIBaOEeWzKzdc1ujIZAwEb4XK8w0y50xH_AGhaj0SlvbSNMm8KpSuGhzckk7rURei4OtYEcIHm5gwFkWogOOnYJqVdrYcADvnhNMaabHNkGYNz5Ut1o1UxTNrlT0rO9gF9oRJkZi3WObqFmpehofBvygm8aGi2k4RVA86JBKINMOB1Fx-UGmk4gQdWUIsSHDtyDIS1Y0MIcBBiTchZxZV7Nde3iMeStOhC5xeLGPGyzqVwIbUjIImEYq7GtIbIjyiPK_V6YMuku3Wlx8_VZJJ-g5UxEAXC0yTY-FlcM4ae2ZJMrUVamSQDzsqudN1AgCSCW4nypWfrQ6o0MAaJEFZVbpqhJ7RYi8oPSoPLhB23U-tNDHa3gggR4VGukWujcj7IKGW4B0k7IlRee9xDRHCYRB1QNj_y6mHhg41BESN0rpK8jqSG1IIuJsFzsb151eKzS4t0xgysJWDqalMU4iCOEI8t_PhXWsierUL2OAdys6wckBsAxa8ZWpEGkNPbf3Kl6WXFKlU0iBJKY6oXdpO04UxFHgMNrkmQt45WiGwQ4kg4SjSxumA0zJnCyFIGo6hCrpxIYLjBmFGnOYCA4TJF7Kdribm_U6IjEqofpxBcWmTCY0sCXQbxwVrpq1em7uAJgHACyxRc2WkgAnjcKY18BjWi8aXKMufYgEmIxwmKqHEkECREK4mtDKzw2DLQVGi6ywGwJJ5WkZnVqhBFy07LFwZnGAAZEYU0zVKPVPa2_ecAKLjdRqt1d3a3Hyk6Rqov9QWBDROd1q0VZTYSe0u4HCyrPWqaWPAdNrjhYZed6xLoaJG_lWNRCo9znScDKFIXAZx_qCl7Rso1WuLZv5RY3aiIjZTHTFQ-7dLYkSkZsUo1BMkEHyr9G3pKkuLbkfwtX9xlub2uAuL5O65-osXaCe0adxwgiXMaCIbACmKXQHACSA7BCE7PQpiN5_1KaXpdghrtTiD5GysSdtLKjdAdaIuq1iVQkAH5ujIEhzZkyNihqL6UEmBJF-Co2xVqZuXEtbNgAjRJGkyXcwstzuIVajXOLSDG26NZEnXI0m3CKjULazTqdAHARGd7Y2MHJUxkKRgQT7QqLMeS8gX2ARK20CQQXCAMkK4zjhpa4g_UecFRMVouAYJkxayutY3U5DJgGTdNZsbqT-1hafhNc2svBZrgtHAKox9QcOi3lZa1ifV0vdiM2ClZ9JTaIJEHeYU134XXPc4wJhowrXRCqABrLi2NlAnTVdVUWJaTkHCiV7DIcBBEEKsS9sleGOIHCl9av7Ye4tiNXtZPxkbjmy6xBB4KRSPYacgxe4SgGzcy7yueEUY7SCAYBF_CYVenVDmBzoLsQQoRSWuNwJBRUKwc18wADwVLBN7u6SLwsijXWa6PNt1rAwhpJ-qBlVnI0U6oAsM_tO6o2USJibOsCFpK9bpMOaHdpuJW5WMbaYBuTjnlaYunqXvYDdVkaVRztQI-VF_s7S2owTeckqReNef1bD3lhgLNrc7eeH6Q7SLLnWvCmJvwsy6soGo0CWZUq6hUirAOQSVGgDe0Adw3RD0zpcNUgKyprTTrOa9rQSRkQrpj06D5YBJ1E4_ldUrq8yCG2O6zZqYxz_mOF4zYZWVggkkwTFoEKNKNcdLmgn-6ov0tYmQWx5JQUcBUAEmPupgy1tLJaDHssWKg5rtU7Ote0rFiwQA0zPabFIqw1FtsLP0TL_8AMtcQrYJGAIHvJWYAGgRqImbFaMK5_e4jMoKB7nNtPCugBhaQSL4N7KwO1-kHVeNtk-poU3i5Fw7MqLHF8uIMEAc3KsDiAWy2Z4Ss0j9Rdbtg7KGrapH03GCoLscHMg7HlFI_STJi9yBsozYRjg-05wFuNSGDYPwtaowXEaZ9uElZ0zTcQ7GD_qRMXZBGCLcKILHwRBm111k1uLUYLjM2wr_7fVa2OMGJjhRmrUTAAm-UYaC6DiQTFlLKrSxxImbm0QpWlHf-22Tc5WQrm6HEgSYypn6CfRUgT8LLTZSmILpIxCsFWuMQ45S9tfE3HUQ0yBvGVzaiLiS4QbbrF9bwzMw0lc6WKsIcYPaYjO6yyszttM72QEu1vnMco0tTOkgi0cqrjQCCAQb4wsWp4uCAO0fKz63FqTrbkDhYqVpoOiLyWpIsatTS3H_kqVR1YJEA2XPAhqBtW8uHK36NPTulrQ7U6eFGpWim1wMEW8KY6KuePfaAmEIKmkkgWUsb1SnUIfYyCPssJbGum_BBHyjKFR2ojuiPKOkilKoTkfCKo2qW4IjESrgo2tJgw2BsVIAanqdoMHYwmAtuRtaYQF4DhqBNx8hQSe7VBweUC6QYDbxkoJEemSJnzOEADxvBB2Kom4zGkTJWhxkOyQ7AsiGfVLRBBLsWUxQDgNiIN1QwquGXg3spV0zHaiIIc6bKK0NJABAjUcpgcPOk3EgKLpabtNyZBsiPQY8FuQDG6ocVGtcbXOIWWtUbU7jIII3Wl6UDtEaiB_3Ks1ak914OoFb8RY9QIAnu4KqUQ8gRvmeEWJVnS3YwrIMxtc22UoelWNgDkxJQUqVS1pBcYKmCZeDTm2MSplGWoNTtQAIGTKWYrPWaHMBBBHushGPmY_lMJVQS503O_stQrhUcHi8DlVF6VcTogefdUX9YzAiFo1Vk3i1pUwhKzxiMqCQqOmAdvsgxVakPLSdPhQRqP0jOm8ncKYnZRUaDP0mcpmKtQIJJBJ2mFRuov_aHHGwQO98HP3TFLSeQ031Xwpgrq0mZOIuqONTUzJk58qVdwHHskRxCjXpKfa8SeLoxWoVdO5-EsQ9LqAXxjyUxZcejRrlw0kggbgrNbl1YjWC4GT7o0R_cSCIjdPQuM2CtAFQja04WRZtYmN0Fdeob2QDVIMkzyFMHOqmBeVihvVcSDOygcPmDKuwUa4gSRBS3RweXdps3eEgoHCTGOVjAWuuDtMLQsY03OkDCAsd6ltshX4hg3MXBSM0RIBEiya18FrrwAIHCuOd6OHarpiUD2-61g71eAZnKykFz9Mxb-61qkc_ViZSUTLjuJg8qiZcQRwb2yhCvJxaTvwglUdpMCPJlY_JNJ2if3AJ-VNScQTGqfhZtUGgCwHyrFGe27rprVKHAOE_dRBqvAAM34VZYOuaK_TvLjcY4U5SWdrrwOuNOhTbD2gxcA5K8_LlnUdPHr_0Z_QP6h_V1U-lVZ09Mb1DYrX8f8XP-S_8ApY5cpx9D-qf0yp_T36hX6J1ZlV9Kzn0zYnwuvKcuHL8eS8bLNfE9c4OcSTlSRm9sLYcQNuAFaA8BzSCIASJWVzhN6Zf5VTH5HpAbm_lf0V8W59sFaiUodpN99wqi4IgbnZG5eiGnL9UeUYOCAIcCBwESIudqGk77qz9rhmM3-n_uymgh1u4S0Ziyg5g1E3yLShoxEnTYWjlFhhDAIEakaomCbmAdkc2im92kiIHKM85pqTocCDIGxV1Zxs6MBUJiw-chK1jndpNh4aMH5UTtIMLg9zRE7bBHn5brH1tQEmQDzsrJqZdY9YuRBK3I9G9JCZvYC9lMamWFjXcSePCssFunlvZq7iryS3I0PY3Bwsk7UphtKZO3CzVVFTSQQ6xsYCg06dLGnIGEQdJcM3ci-pup6ZESBkyrqYhV0C0j_dQY3uDXGcO3RLsKXDSd0agNdomTLeUakWY8EWcWjN0LMWpOh0TBJsZUrC7CDgERcqKvReNQ0mZP1LTXTTGhurOqxJMIgtGsOkwJ-4WU3U3NAe43xayNNvTtaGhx-j-6jN6eZ-uNa0S1xDeFTXz9ZgbD5kG6asRLWQbdxgypVIaZqQYhWdC1OdQwANldVfWW_T9PCqZ9aKTNZiAAMlTBooiSS0KDfRqwLf8AhUWNtMt5t-Vm3F1ppmW2I0j7qy6GP02J-FQA4mwAIGEEHkB8TEm_hE9HS5w0tNuVL2sZuq6QVHTAacKUnrxutohoDTYT9IXLXR4nVi-4E7IjBUeCTOFF1na42m-48Jg0Nbrc2IjdWIRryHuBMX-yt7FXOEXukCBzad5kHbhSrLg6gQXC485Cs8Zp2lj2zMAlRT0JJByeJ2UU1RmmdyUdIRp0xO6KAf3CH7_SEXXAdzrh88og3aBAv_qKvQoD6n07bwoat04l4OJwh60VW6WzJk_lG2aS4mdshEOdWiSfEcK9B6TsbwFGVg5oElxsJATGlA02dmbkKUZa5Z9YkRZc7RifUDGl2ou2AKNR1Ou2CbaijVbGO1tOruGflTWHo9I4hrGG42ute-o0V6hpucW6fImIUGUtcZhoM5MovjzKx01O3bZYWIVXFxBwZwpPSua2CJyqyp07pdIMNm6TaseqWhwAiDa4KvjW4o0kv54lCncC-rcwf9KmDb0-qYbIjdJ6w2kkBuuQDgzhTBVjvUsSYsJ5CWAvpBpduNgkEac0wJ5tKlFGka9N9P3UxVi4gNbBF7knKeIZr4cAbNnHHlUaXvD2vdpgwgVgDhI7gDugnWY1znwDIwNkXWWoz1KhE6YUXWV7HNJbM8FMdJfjNXYQBIJJvdZb6RBDRqi6LbCPDXHJ9oRkHxg3G45ReknN0v7YHiULAp6XkAfUDkIzWtr9JABJnK16y0kMdkGeVMag0mGmJNyYgJ0VupOJaMHON0rK9J7dTRpIjKjGN79JbYaR4QkZqwD2CCTpyIRKwvEmYv7KUxKm4CQSSRzso7cJhhVD2CbaRKuOiPUP9Rha3u5MXCyM1H_JPYJ8lB7dAzQg3dEqx58usdao5-wkiCrjpGR5DbGxFll1dqhouRxG6FO5hewWJ91V1EukmD4I_usUBzmAOvJO5QTbVLSYBKlVdry86sEDlYF31A6iALnyqJFxE2AjndTABVazB8iNlRZhAZL7HHuk9ZxVrwCJIABiQrRrouDGtcDYGSnEr1ukqtEyJJ_C6xzeo0gMBBgkWMLSqOc2owEmSc2yohGuBJDbKs2foXVRAGqBGFDjOmXqH6iQCB45WbHSPOqsDJANznwufap6YJk6iB91OM_aQru5pvdLGozVHhxiS32yVz7XsC-wIN-FVO-rqdEwAMcomGpVAQAXGRvC1FelQqOJaZgkzHK6MtLi0sEkxxwrjH1jqOaHiCRtA3TGgpulxGoqWL4Z9nG33WTVZDdyPa6iyqMcNMDug5lFO4scbmLbBSiDy1jy0E8XE3XOwQ9YMOkCQSsrqtOvuLyMKYQoJp3EE-dkKR8ASCJ4CER9UuMubHEIpgQRJdBKCgO2fIQVA1tg_dXRN4ABtdNMAOh2kXvgqji3QRur0HDwXYj2WazTBwANt8rGAMlwwtLh2VPTAvI4VUC7U2JkcqyJjgcEWWzVG1AGCDcqGnY_1IjYXndYhhyxzWzBBPCrJ6DoAAJkHfK1hijfqvJ8rrG2hoBG49gqLN_y_wB1zcDlSMdrMqhriXQP-0qVK1B4eLDcnKnjGq03Q0zZRvVhVYDuA05hRRPbk2VVEvg8rFXVqNUAkYtZLVbKbg4DVY4CLP0V7TpvcjJWLWmYnSbE8xsueN6bVLsG-4WWvV6R0kTgnKymKsBLTfUVGLXC-LrFajTTaGRqElVpTWWXntHhWRjdVa_0xZ0iN1Ma1ahVgiMcGyxjbTQH-Y4zf8BZVspuEAkSi0r6p1GRHE8KYhqUOedXwoNVFpFwLeDhYqxppAavMZUjerGBbUGjlVZUZhwEgE5hStWjTLWn6oOYhZsZaKfU6oAbAUjXEjn5iTbJVdCsd3RJd5QXbUM4wgo1wcQRc8KBC8ayRPsrKzqzXaSRN-UUTWLmjUZtspipOeHGTg7lJMEhUgkTc7gpiduqQ3Nh4Cip6wxmJErQk-szVAcQEDNeCASQY3m6mpbh3uBBOZ2lUiQeDIMj3P5Qc6oGmzonHlGhZVFM2JJKDQyvEwfuqgnqe8H9uM5U_wBXVA-CNgVkjX09RxDdR3iUVrJkGTEflWBmlw9jst1VBsI1BYkGinUkg7RAHC6DmvA3UYXklhMZF0EKpES4xqNy3ZVpkdVOqZmUDUaxqQbagZuiVes3XEm7eCmfUTD73iAosQ6h5bEC3CqomXEke1yp8ERHqAAfPKyKtc5rsW3EqgscDewGQFvAPUAMuJPIhMK0NeCTB9gt4ysypJhRqEr1LkZJWcEHOIIAkH-UwZax0uuQDyboIjuNsFQcG6v_AJDcXQaKJgwTA3Ki9NArEAtsBtdVFGv1Og3soOFT038Kh31P8u6g5tSGyPuoF_xA1OhwI4VxXMr6rgwOQiH9YkzeT5QGnU0umfhUb-n6hrRJ3OIXOxqXGyn1ALR_ZTGpVadVpcWjukyrip1qugETJBgpS3EnVu_ULxwspqra2C0wCifkqKsC0-_KNGDtjIIyEUwu3KlmgU6neBINsLNgo4xY4UwXp_ROZKuDrNEtsDeFNDh8AGStdAmpqcJus6zLVmu1tAjdStKMdAxPlWazaJe5oMQqdUC6CYsSr1DtxdFrT4UjHJZrhztsg5xJgmxjCsqJF5y24sZWbQpfgTF0xrXUy4GYn5Wp6yapDWmTBGbLTKNUwGkZRpNzp45ygS5z91jEwHHTqsDKzO0Zqjix8EQPG6ljQa7g3njhWauDq7TJnwoboOdBjAVRxdLXGZsVLsHmfqVcNpWlsDB3XPncnRI-fo_p_UfrnWsb09N9V5P0MbK8kttdfHt1eo_VP6bqN6VlTqOjqBv1EEH4XpnLnx6jNk5d18_1vUValQmpUfWqHuc5xkldZN7rPnTx-rhzr6vbhIyhTAYJKtUrnsIwZ3SFYq1UtfA1ARwqzr8i0XksBccGLr-iTx8YsCIi_MLcS9hBa4XkHBVZMHQIwRyFejtQAPBm0cFRSMc0T4RAcQRfB2RqA5mloDXHTa5KJTw55_bzlEdUBAzPgIHA7BEGEHBwxOojZFFkOBBJlExRpMG2OUTe-2gMDJk9xwZRQZ1IDyACdjKKIh7oIIYcgmyLpny1kmGkGI5Rz5cbyvTyOtcS0thszlbjnyudPNpM-uTfYrda4-Oc5wwQDwpVmrUKkxaOVydFwxuqRk3V0-CWEOEgnhaRRhmBMTc7hSwXpDGk3m6yNjHgdpAI3hFBsyf9I_KNY6qG6ZnIhExirAaZjwEZrOYIIgTBMovqbREkGZbtsprQuZPdngKrqrKjXNOr2RLTUiDBImJhGFqZc0AzEW91MFKbyC0W8hVW9kaG2kkSQMBWrDnu02sRss06CpSLqlrWWe1aKYLSIIiLg7Kjzv1ZkOGqXCEY9ux4XUkNaA0yPIwiyspsIthGjxqZpJgR90E2taC21jvug0NDgTBkEKjQ1gbbwRcqrGqkXARpGOVmmr03wRP4Rmt9B2IiMKDbSdDZs7wq1FWPAJmw4UKjWIaQAO0bosKKZBkx_ugdhuQPtwoWkdUDmkQXE2BhL2keN-odGXuJJLY3XKyNx49ai4ksLRjJUaeH1NMsraTAEx8qIgAWVtJuduEgqHS4NAvKAvaHuuADgpo6oNGn9wWoAQCYgjwFKGaxukxcqy4Cf8qQ4CSoGpfVY3Sr9a6oaWReOIUdUS3xaJQJTcXOM2vYxlAWgNcXQHXQB8uNxYG4nCClJ5BiLLWJd-L9M_MBpDdysrP7Xdkx9KLqWWm1swhp9Qa0kj7IiLa2o9wgcjIQOXkkXlF7ah9LBJMbhM1qJvote3UZa4HC5WLjz6s6nkSROyRU6T_80QY-FKm9vRpNMwCHNzdSI1tYA5jQSDN0hja2mD5dyd1pHGgxxsbjfhB5HU0tFQgHV5Wb0rG5rhOow0XWJ6rqQlxhw8BWpVy0MqadIiJSLG018DAGCEpVDVMAky3lNq9wwrF0RNsGVU-NlHqgWjPgIy1s6nW6C0-Ag3UmNa0apjgKUO58aREjyE8gg8FpFyRO6gdksJMmCblA4cKhgjTeboKaQ4iRixHKDS3p26CTc8Sglpa1oBBbCDmhpB16iTJBRQ0BryYtsSgzdRRBG48EQjTz61EQNTnYws41jKI-iCPdRbhSQCASY3KEmJEanCbRkI0Ws41C3aMkBFdRIYbDJyicvFhINjqnZXtiVqpUw6CJmLk4VblXpEfXIdaI3WUrR0gLwZOkZgIxdbQ6QewRkzwqSmbUlpAFtpTGnPZFEFwPuDlRLIxviq06gMWupUiHptGbGPkquuiXAsg2McIusdapqcbkk8LGKk4dgNw7wUix63RntaCbkZJytRl3U0Zfpwdg0wChjz3Niu6Yi3lT_VUDJvA08yinYGwO85kwmIz1mWkZCxgzVLOwFntQ1b3mYKa0e4iDN8qDVSqAjcu8IhHXgczc5RTUGSS7eIjYoKjtOkNHKBmj1BMQ6ZujFaadUtvAIOAcLU8J09XonghuqABudlqFexSqf5eZmwK6Mq6QGkBzi4bAokIx1p07xIKii-mNMG5GOSFV_wAY6jQyHADSCpTxk6mC0nc8LFhCMnTeZO2IWezAqNDSG8_wmNRjqH0zYSQc-FlSO72km17ElZ7UkknS0XBygrTe1jpHz4WhqbVFi3I_K1GLW9lTU0SPeFpP7Zq0tfBsRdXVhKRLnmBYZkrK6rWqtNmm_lZq4DKpAk_ZQxopOJvEDfhBSkCRBEzhzShS9Q1oNxI53WORrDrAfIELF6aUpvA07wIhZVVzmvBmQRaESs555G5QhA7SdNpOIVimcQLXARNPScXlpHyosULgDiXcKjnu1NOiMbm6iaRpIvaVqLDNOoE3I5GyoZrQSN90MERJE5vdRl0xYE-ZTGoAcXeAEHaiDfHAViaYEmNlpDUyOTOyiK0nwHQM291F1UPDQdRVxdHT3mbqsq-oZLSbgZ2VlxdUpPBi5DStGtDTriD90FKbw51yBzaUZrXRaO2xkTndTxhRrpc7PJtsszqk9WadJk3atWOkOXBzADMk7rKpOOgCYIPGylILXBg88rFaa2uEA7A_CaeGc8PAHIke6l7al_bM6cRc2AjC51rRY_SRY8EyriytjBpYZOrcBZsbMO24yc-FmpkdTJDhAhwEwFhncaqRiZdPlDdO6GOiSZ2iyJ4L6gxNxlQ1drzGkiRsp23OTZRAIMm8eyxjou0lx0i4CYG1_ULkcFZoq2GskXnAUGig46NpnGFirGpjpMQdRNlZBR5loDSAcmVFjO-oQbcbbI1pqby4kagCbSphp6b5dAkR8KY1OlLAy4wVW-k_VaSSJ1cqYuxWnU1SLklMNWY4NHkKKT1Zd9Xuk_tnFmtGTeeVLU1zXe0RqJ4VWXUxVvBFt7q2614mTLiQQ0kom9A8aSAQb38SoRN4gG9zwioGNPk2EoODy0aX_gIlh2wZmw4N0Y8K-o0Azc-Ub3pD1ZAkiAtYn5YdlYkw4e1lcPzaGP8A8sGwI5Uxd0WOAIcCT_CVWqnUDmxBLuSVkXo1iXEAEtRY0B8Fpv7nCiriqactcb7ELWCzKvZc_KToVbVB2vwE1NNkDbwmoZ1QsfIuDbKsC1XRZz78FXSVleYxeSmro0XwNvlErUwh7TvOSVROqdItjyUxYzPcCMA_KYpHtkCGk8XUEm_VB4UDOA0jUYtuqDrEW5C1E0ja9xtcxZaxFaHUQQZkjaFcGgVACRA9_dDXG8k3j8K4uo1L3gkxkFZxdZ6zrx9JOLLKpBoabABZQBUgkmPhBeh3TqAgwcoKlxHAONSBxVAm-oi1kDONv7hUB1SIm-yg7WKZmIhAjnACSTMzAGUAFTQYJibwArgJfe5zsmCzLtk4lQaad4ItvhPRrpVxZZxV2v0udEgTmUw0r6wqQSAAM-UwBlZomM88JgX1Qw6RfdYzEXY--Tpyo1LizaoE7giZRvelGmQMkQikNUNdftH5QH1CHGDg5Qa2Ocad_qyscvQS4OucqTA2sFp2SgtMkWiP5UGmk-TCYKkwOIWp4zQcTBOJVTj6AqB0GII4wpe1tL6kOvnws-M3tUHQAbX2WqjvU7vfYoiestdJ7vCYbAfVuRAkGSpiYq0Aj35WuMVz5iCZvsVpMScW6dMm-_CKm6QIJn4QCYbn4WL0lTqOLSBY-6khEatKQCSARkhL6fUyTiYPCa0OuYB_hDAc1wJNxIwqidSG0iTMAYWaPmP1HrxUcJLjIyvNzbk-v9L_AOmX9ffof9Mfpxf1PT_57ROrTcr3f8_Phxm2dvPz48rXzn9f_wDVL_8Aqg1Ws6VtKi50seQJGVn-T-W_y29N8eNkf5pU6g1X6gSflc5v1pGo5w1XHF1BAOkkAweEgZ7ptE-y0lRqUhUcDAFuUR-PKPc4iDMk3K_osj4qLi75ECDcKtKtaBBjtm101mg8SREqww1zYC4VEy9zXZ7d_dEBjzMmJIwiq6QR3X9ipoDyCI23KqDTEXixsgezRDCfIJgopYcyxuDtlX4n07tgCPhQPBi7pG9kBpw941gniFm3FaGt0Fw-kqy6hXC_0kjeFVTruIpWF_e6Hjy6gBLid-cq65Xjt1mLdHtNiNlvVkxN7S8SM8lNjZqTSTqvbblYqY0tfAj93hRe12Olxc60WCujqZdcZJ5TaqzWuMRceE9Rr9NoaSJAMe6VqLM0lkASGqFoPZrDoIEfhDWHqYaC2SYvyi1hfVmQL2OUZK0OMhTGoJbD7EQPOFSg0OJ1HaxAGUYXZDCJacZQVGqoeBgA7o1i1N7RAh2tuyGNdN7W9ocdMx4PhDpazjDjPvgIK0iQ50wbIa2Cm0sAiSbwpia8P9UltW5MjEKDyKrOy5kqIyuYKjgIgiydrHOEe6saEMc5wMgQFRcOEh0CTZw4TRaA4SDPsq0f1CwEHClTDUHHPG0LLNj1enqaS0N3zKLj0KR7RKL4eZcJiBwh6UwNrRdZtqkJ1C1wrqOpggt855VRV-RDRqxHhc7caRr9IajHgOaJG6zyV5dbpWUajQ4gta0h0nKyu18_1_6XqrvcI0DIGSpVjJU6QHpnvhzhTwIwgxtuS2QHXPwroVxGgC175T1QpEuqCYjmVrqeLIt9Li65BCesucYAAtIkp0EqAXOw23QPTIAu0wVRpadVxMRYFTHo49wr7GCTO6Y1Up7g0SIvcLLmDJNSwESgDh7CblBRrS4GLCLEK6NFBjQAS0xueFFaasvFmfiJREG_VhxccgYQWcwNa4iWH3RUSwcEE7og0mOAa-BxdG4r63bBH2Flrxp2sAN1CZ4WKgN6QOEzAzws9iNSk1rAG23IXPUPQLmgEi5wE0b2tJg_S7Ks6a-NAcbHJF1cZwlWpqNiROVmxGCqPTwDHndWNYw1Ga3EWAN8pW8P6bQ0QL8wsRLBJcDqEHYgq1lspODmE3HPEqQM4Gm2AQGnJSiTm-mZcA0bQqHZFNgc2QfKzpjf03UFrwAZI3GyvqWY9jp6hdSE3ndVGlrSzuiRnKzQXDX3iCCOUE9ILdOG5N0ABIgGwOEFmPAOmZHJMKKt01YiqGEdmJVRaqO1vcINkE2yWG1yMhAoYCwas-bIFqtAbi5OTsjTzuoADoJuCRJU7bjNUZqkuJB2hZW8dY6j9E6QS3ko1mJvl5ta1pGUCEkagDFo8FArJ0AA_YIlvxoo0wLm4C002B4DRptwEFqQE9w1H_tSmLUSKUuvHB2WWOT0GuDm6vwtpMUpknAkxMHZQUqE6cZEgAWUsO_ryuomk6w9wofS04-o34VdID-5zmmNR3lRpkfSDS6D7KUR9NwPjysRXodK4tAESRacrcZrZWd61PVEaRuqa8zqGim6wI5lSqRpkuCo0NaGN1YMRZBCqwlt7GJPlYtGZ4lxtHC51olNsO1RfF1CA8lrjeflCq09IGqYMQhFxBEAbIrmSDIMe6QM-7gZmOFrBZjtRExm5JWRpaNMAXcTMhWJW_pAGPhgyd910n9sV7PTQWhzrzgA7rWs2yRYuLA1ogOwSAq57hiyAGggRckLOr-UoOJbEkX3C03LKxVXlxe20c7LGxfjIWta64JImQpWiuc1z4ANzfwoao4Eg2m290_wrzupfpeQP4WL16qDnlwZFx5CigJbeIvI0rOqDC4Eua6Zx58q6NdMy8B2fC3qV6VB-ikIO8QVtlOsZyNSCQIb-1xvkmE6NiwfqBMyeYgrmsukb3X_AHNRpanWmQ6CJsAiVUGcGI5RPTt0ubYgcyMouMzqYpubqEt8LjVSqNFOoDpcCsrDEuMuzKKkXFo1Zb4RPE9fcADMIg6gDO_lBQO0gCfthWLFGmMm_IUKLDFhb3VQHughpIjKsXTMlziGkgbgrcNF2psyLCwhMIBIqRBKzVw0kWyFnRJztjYKs6LC5wiwCotS7ybjBgqds6IbA3JA2KqnDNMEZyinZJE_yqHNcAFwjVxlU10iBcmeUFqVeGgusro1U3ggCNM3V1nV2CX3EEC0ZVG-nUAY0E90oxV2NGkYjjKzCOLxqHjBC06RwcXCDIP8KVU4kHUbgx7rnSGYCSQDm11hpZoJNjqvwrCrVLDFohPBG7o33hYrUdTAGm0A8qVqNVEirYGAVna2d4JaGgx77rOUmnomDBz5WDIvUd2zeeIWsSyJtcdYnPBUYXa6RmR5WW-J5sI5xwhemyg7S4XknlSukbAQQcAjhZqhrgwTANxGVjRZoEjV3wLKDQ2p2CADFgYUWNPTvIcCdWPsiGfanmQNyovSFRxa28QeEwI07bEFXCVdtUgNBv7KY6GLi68H2UqbApS0mJlRVKY0vwTPCX-hoFUubFuJUrpDAgkiBG6jSurS0DLeFO6gOeHtgT7gJJhkTcbzNwLynFi79Qe4XAiQFU106gATujUpD2t-q4Rtme_U0RK1iXxwlzpz7pjGraw0XsmFpXvLpIG6uMsdZ37SRE4WpDP05lSHCJjZBdjy10Ek-Qpizowdpg4vYKY6NDKrokCTuFmprbTqhoEBwgflRppY8uaCCYRfVJIB7ZHutKdtQCRgeCguypoLWzqm6YlaKT5gZvlMQznA6mgklSCFQgHmRwtCU-87Qg5ncyYttOy1BVjpbc3_ALq6He8FwFjAuVaahVqRa_8AdYom8tNzNt1GokDGqwBCJpH1NWQYCJpKlWCNIJW-IAJB1j7LTCtJ-JseRurtajSCWgDFjBG6ikD5N_wtjtYHMcFc7QlSXeTyVijPUaW23jlRdK0lttW33RWhg0gxcEY4VBDxeADG87qDhUcWkEm5kqwOazQIF98pQG1PWJ2GygsHamz2myCL6hMRKQTcZvExxZaFKTgQQZErPo10rmziLwrjXSzqmhsAm1pUZUZUsDJ-UDis4OA2ygV9aY_bOyBTVOqNhkoKB7QZP3Us0aW1ScQQNyueDRTI9M78-EdJ4YVS2Qcx9kWWEc8i4Fx-VIv-nonTkgomtbawAMLFilFQhwuRJuIT4ivqAC178LHxTsdJMtk8qilN8nfOy1OkaA60TeUibKBrAwCLi10WTCN7hpEAbwjNgSGWEmOVEVa-_A2XRI4ntJM3TF1OHDG_8LGX6mnbIkgg2TEq9JzoER8rUqQr-zjzGyqgQDgxCA1GSJJyiS6zPcQMQZys1SaJvYym_o0jgBg34WfTEj3ExJ8pipE6SBFpi6loZhGqDcpKM3WtcaTmtNr3jKnLjsT6-f8A0-n0Z_U2M61zqdJpgkbLj_HxlucluxL-p3dP0vUlvRVjUaW6r7eF1vGcbsZ3rt83Ve6q3ugHiVZMa0GPBl2n4RDVC17xExkmVkSqN9JxvuqJkkg6ZF8kLSVOp9X7R7qyaj8eUWPBIN3OFuF_RXxWNDWw4HTPuo0qHaZmSFWaLASM3OAiASWEwc4WjHEQ5p0i-SVApYDBbBHKoAf2hrRJnZZwBzr6cifkLQox7vBA5QVp3l4ufMKmpl8hsXzKgZlLT3EgeFNFqYkwcnYqasOKejS4ajJixUWxqA0tJFidyrEnEtR4a10vlvhaZlu9xhqkQSCXHZGr2x1RpJJDROASmDFVHdcA-ERMVQ02BvwFfmqsyXRFgqLBgYBBglZGgmGDDt7IgaC4gt95G6NSLU5gNJPsNkZs7aGuBxILckI1ijtTiO_SSgZ7tIib7lEZOptJIDTF5KF7eY86SSO6UQrHEuMAwbq6ol2SWySo0ZriTMgRmESmFUvc1uIRlop1LAOz_dG7VBVJdeDHwjOtDACAWwZ24RGnp32c0Ym8I161gwALgkZCHS7CYnG0IleX-ptBcD-Fgvjxq48QT5VIxepDiJuDdRonfJdtMAFIKtMs1ReVsaC1rg0gXKz9T64O0yIvwrrWmdg7lTTVKLy0Z-VEep0lUQDM7Isb2vJiCPZFrXSp9pwDwsypBdpjBkrN9aQfSDQXXK1Iwn6kE7-SVasFlTUA5zhqnn8LlrRmdQ17iBdpyCpuiT6VJxc5wA3IjKDyf1KlRqNc9vc2JLIRZXg_qHUkUIoMLQIEcq4vzp5TySZ0w6FPEl0DSGm8Y43UdZDUQ0NvEgGRwjWiWYgkjhbcnMdokOi-NSuMg4gGNJJKiwA5xbGYsAQlRpY40gNRgxEKSvRLkK-oHAB2RvKLoOcZBFj_ACoyXW5xsbxMBXArDLw438KUaaUl0AkSIAhKYcVvTkZMX8KDRTrl1oOg5koFDtL9U9u0FA8NjUWkkIF1HXNjNkPqlQhzW2Lf7eUbZnOLHQSFdTT0yXjEkbLnfVb6FNppdzTqOyKy1KcO0gab5KxiC9jw5t7ZsExGykH9SyYs0ZVb3pqFIenOYyCtCdRrGEOj7rLDD1TmlsxA5hVuPPDnAxMCbLFb8M0nYyci-Vm_0aJlpMGN7qMVbo26qkWAPKuo9P8AwxLSQ0ODdgpjXWM9Xpw9h2gYTtLGVjjZpEkD4WsJW7pS3UHAgHgKNevU6SqDDTa9hyqzY9NsANMWGfCywappcwQA3yd0EWkDUdIEYQc5xfTOokbyixAAuBMA-DstRpq6SppGiQYwVKzV3umk6AJnE_lZQafaSZdpVBJFzpkDF1el6TqGWGS5oi07qI8ypRDSHQQJUtdIzOJcSCCdh4WXSX9oV3NkyZRq3UjJlpsSJ_4RlF5BI2aNkUtOuZAAi-SiZN1rD_TaQ6CTuquqMeS4EAk-E1Na5Gg6ZHsbqtauwtc4XJjYrLnW6g4aWmRnBW2L141sbd0EtjAIyhaSo6Lahe19lmrKyOAdqgi_aQ4ZUak-ssFpktiAZR1RcYjOc8IEqNOlvHKysQZU7y0jU3VuoNvSNBJD8TyVqI2inFNwNgcKsvN6iqXkgjSMSfCixnpud6mLbqq3BznUxcSpQtUhzeLLFXt59VpcSIn3WKoNinYCSdlArneo0nTDjuiBTqHWWxbwitQJ8Ag4T4ovfLiAYKROzNFg25BWhVjQ1urMYWVWoVGsdpy45PKJXo9K8mppAAHvhblZev00dpyMAELcZvjSNLTGxVcKoXsEjUA4eFNRGZaNoymiFQAOJjtBkjwo6cUng2JbHJlX8XZm9KRqAtNysYzFmQ9udsLWGsHVtAcdvOVmxpi1bbDdc701iRfYi7T77LKqNIAlseSrBppva1uoGSMq-o1UOomHEGTOF0c5V6ztQnUAYvCNIB5Mah8lZpg-qO4AjTupdPDMI0yZB3RdNqcBqkCd1El31T1e5oFQ6vbKrS4eHxxOeFFdVaKhJAJa3JXOwSDXAWJ5BKmBTLBcgk8ZTDUHsBdaYIwmCEaXGBYbndZDBx1G0AcXWoHLu4d0gY4WuosOKx1XNvCz0vqocHCwg_ypUKe4x-3nhaiHpt0WkQStB3PkRgTI8LOiV2Gwkb3VNM0kWJ__AElnDRdVDAZ3WU6Tpg7Xuia0MZBiADlb1XPho7RurE04OqcqK4nusRAwq104dhaGgBpzCSouz9oABvuqnYwBf7JCKNq6bTN0MbunqanS0Z3KsqvQDgHC944WmLBFX0miADucoLhzSJETkwUWKYaZuOU_1pCXTIj5CzZo5t3E4Pg_hc87Vro1DpLiZtFlMUHVNbb7YlX1KUEzEEFc63HA7G4JsVlqKUyWmSIlRuNBeTA-q1vCiiaojEEeZUxnXOrQ0EEmdlRxcdU6veExMXpVdMtAgHdc70RWi5zjAMibq43jRSq6XNm8bKY1HoMdMEgjdYUXMBMtNzeymC1JzdEXk7DKxgvaM_ZMajRQqGFEVqVP4yFBlqHUO63KGlYCwzEHYSiL0nCZk7QAjpKJcW3kjx4WKmix4J1WmfupqbVm1LE7bAKNS6ak4OJMSf8ASCjcrQN5kSE_1r8k6jw2J3tYq6u6oaoAB_Kbqkc4kOJzuJ2UZqD4lxi0KVzc4hzJAFlZ0JPJdIOPCvS6k4lubbyFtfy0jHdxBBJ4CM073a4iCRwqdp1Kj4gQPlO1ZmuEaovbO6qAyppfkhJMDf4h02kjKtFW1b6RBWcWVrpvDrmRHHKzWmylXvewBWWmplUCTJjlT2HGnFcggZIGyTpdFlQHkidldNVpVWidMkg7qyjVTrjQJt7KgurgPsZjZakxnSay5sZPuqugDoAnfZZ7CVKpqO3kZAwtYrmVNLtRuVfxRUu9QTMOhXBPqCDM5FgJWbFSe80x2u1E7FRXB7g0kb2TETLzpNzMxCYJOeWuEG03lanSFNXTcX8coxatSh-8nkKou2ppABBjFiq1p9ycTf2Sbi6i6pJmT58LnZVmgKgIku-4UyqlUqhxBEYMpQWiXh0QMSosPUfaI94VVMP7h235lOjQfVIEEe11E1MVe29iTCamtNCqDFyP-0KNLl7XXAECy0JNqi9x4CeCZfkAAzupoLahnSbe6DRSfF5OqfurBZtf_VHmSrgYV40y4pgsaxkOvMRCYEdVkk5AsmB2Ps0TBm_ssirqgAkcDOEFOnqkiMgfhTBqbUc2YgicDhZa1zqsEumRmyYgU6svEknKzi_kqKjmkQ2I5UTVmVs3hLG91amXaeZ2WK0Zpidr4WA7HRe91Q4c4DnfG61PE9UbW15TWLM8MKg0AGLLPTU1wcWDaD91cjQepuZBTuVmzpRlQtbtJ5W9c1BUkxEneNlPyI4GQORZS9rh2t3iOZ3VxFmkQAYtwrIAe4WsfZL0JufDw3hWdofWD9W2QdkMQqhpdI_-1KqZZNwI8rmFLWGQInZNIgTJ7R7mYT1vpKNQ0viJkOOSVmysFcNIk9xK1mKia7QHTEq1Hyn6lWDuorMbLTMGdxwuX1PrBUpaGCpIEZEYWs-q89zmzqElEgEljhJ0gIFAtqxq-yRS1n9wBggq4FDxDm_dVlN_cRqbMCFdo_IDKgL7Q0jYr-ia-MUFTu0geCZsmrqsBrReVWa4VJARkwJhpIxyrqi4ECBdpEgrOriZOkmRAhaMFzR26BeJnhVlJjYgj2VvSRZunT_4VNVznBo7TLvCaz4VtIhzZJIOwSNtQaHNu64O4WQZIcCJn2ykWRoYwOEubjc7q1Vv2m0N2SMs7mh4IJMHErXS4xdTIcxoGnzsoMlaXiS28WnZGWMsN5B0qpE9eo6dJACsnSnY8tkXnyFNGqk4E9wvt4UFiDFyGsnEIKB-QLgcbKxTlukTMA_vSjRSI0AxA55Ua9cHBrCZ7icIlVJ_ywc8-EZZK0FploHkmUHnVqUVI34RS2DbW8ojmMBa5wdJAwjpIAJl0AuFsIlEt0dx3NijPh319MCO3mVcGpjmuGoZOfdRFgQ4kAtb5KJ2swhjLOu44GyN_Gyk86NJZcecoNjexo0xe_siMfXuAcDpvyFkeJ1VISDOb-yLHm9QWlxa06ScrONdOpEkaYuL3VQxMGQZG7VdX4oHlrRIgZnhEM1wO8u4RDBxkwO7dT1T06wNojlZGzp3gYnOFoelQcCAYgrPZr0aNfV_C1mLFg2ZEidljlP00jUn6SI5nZTthlFMk7QcQtEpXBrDNrZAyscmkXuBa0g6L7cLOK4vLqRaBqcLzOQrekjLUc6ZaC2RjPwoPL6x1DpSf8p2rJ1G3wt9tR4nX9Sx1VrqbQ0cHdVPqAdqaZ1PEC52KxZjrxv7M9paC2AB43WfVuFc_QwBucQFXNO94nmXbKyoo0h8QY5MK6roaHB2qRiUq8ZqzQSS03cBjwsOng6Bu0QMk7LW1dibwTBDjnt8oKUxEiJMyfKmtDpDTkE8Iy4OJaHXJ4FkHQ4wS2Yyrgo2oS0BgEE3ATGa1U3AtEkSNuFlNVLgAGtaBOTwp21KkyGPNxfZVVA4zBbMhDUH0i94lvccHYLILQ2k4SNSNtdOqKjpPZawhRdNUfocZjUd-Fk1Jr3mWyUStvSHS1xwIuAiKmoQ1xAsrF0LVBEE-CUIwdYNDgI7YRp5uj1HEQYmVmzW5dUf2u59srP9LUaodWM3AGJRyo0K7mEDjcbphH0HQ1dbQHOsrFP1VNzb6e0pykary6hE2vB-YWNYxalgxaLmcqxZ03dI6A7J4K1Fvb1aFV5DRmYWKwuX6pkn2CIk_tA2PlWBXEupN1Xvtun1XBxc7Vi0ELcxdXDIY0ttJieAsX1BYZa4_UTiyiNNJhAmbi-gjKCgbJiAfxCLIj1DS0wcjAIQYq06gDgbbk8LONcWOtTEmWQ7V-UrTJUaSDEATeFGuKJaWEgugi8bo6J1GgEajE7FEqcf5gImAZnZGWto1tNu3yinY-GkiJ45Rhp6Z4fTd2gOO84WqNTCNA1CJ4WRs6ZrdU6sflaYra4ucWmS4TYqsekc2ZlsTKzW86YyHZO_OVG4zPJLbiIwo6pmroHJncLUWJ1H5OqWEZGyWKzNcHOIB0TcEnZc_GWqi9xLYbMCJWoNtCtIgmw52VSxk_UGgvMfS68xYndFZWuDXAAx7rQ1tIAGqx2WQlUl9twsNVlqBzDj5WbEiUTLj7XWGi6S28FzdoUYHtJIAGo3EqrFpIbBaG2-6NGosGvURqtKCkuBDhcRZvCA-qTMt0edlrAadQtcCYJN5wolej0tcEOgC975VnXrL2uk6l0NixaMcrrGW1pkAxB3hVAY4DUSRbwphjnS-TG2OVK5cokYDw2JnmyjO2FcxwYWzc37lp6N3xFzZlosAmDo0bEHhVGLrNM2gHcrnWo815hxkwDgrnWpSTqBlwDdiVho2kkNaDA2jdBVri4hobf2V3O0aqVQNEmWwMD3W5dYz9LiuHSSACRGFqw7Iaoa4iQYCnakcdZmREKbjNXlulrgZgYCxFjjNQmG_BWmsUYC25iwx5WVxdgloEH42SKq2wPcSN5SwQqkwC0w0WhZAaZLiWgjYzEJiJ9R2NIb3GMwpisVWqXEgi_CYO1TcTMXhSAscPurRo0w27oB24WRznBrYEX3SmupOcwQbiMhWDQ12oCdhK2Ee6G58pkAJA_0ys4f4UHmC3hSoBbrsc_6TwsaydsySMTbytTBem6W3gXWo0DgXXIJlawc12ADBGSd0xQZUA7ZxeQs4irQDtD9wVYphG-An-J2YPJhpIjkKkU2kCD-Ci1r6RxYQZA8KeVnXsU6gLRMzGVsrnCCDGq9vZXo6UHIaGgDCIaTqsYkyfCK4kwRMg7lGizAgXOFyvuilIEtiLD_AEhS1dXAFgbTuia5x1OG3B5WK6QRexEb-yxVNGoB8Sd0rpFGGe3O6xqmJJFmiM-ybUxObmwjyVbTDU3gkgCRwsriw99PgpIziofaGuAIOyNS4vTqatJdBJyQo1Lr0WPLhmW_tClhQdXIONMrPw1q6WoLHeYnlc6LUz5Gd1fjbbRY03E3O2yziFq1CBAcLKYjOXaQHb8K4JOqukBz8GbqCrKh2OdwgpqAbDrxus4OpvBDjYhZ_EXpOAmZ5F1LDw9N2kNtflMb4_2qKoHJ4VzVkdUqAkeymNy4Dq0GAQBOTwmL-RnHSDEwbSMK4zuoVCS8cnflTNQheWwAIF5lXDDBwFwLQmCNRnmN1qM0jRPdEFUl7B_aJ3xPKNpOeXSQJjlaTcRkBkwIi11U1Ml1odc7wl7NAuhogk8rH1mWtDHtF2nVHKum1enUgkgEzsFmtTk10ZBvfe5WTa1-tFo7ZymOsOao1amm8xIWWha8kkAwQeUmClN4bJDz5K1E1rbVt5XSJKOqAASASl8S9ldW0ySNosqm4V7w2HF2RYKVNAVQ6bw7wtLpqb5EP7vlbTVdYDZuADspBmqVXGpMxebrnfXSGDpGqJJ_Cjcc91rTcIzUH1C0jaNygz1KoEw64WpHOgC5skT4A2WsZaenq6S4TA38pRpY4EAZndXOtMVDpBuYcVcozvIDrAG-xWbtdJU9YmcDzdY7Z2kcRGqC0n8JZrWm9TSbCbTIOViruAXWnLicJqypmqWzYE5tsoJuqElpxO6mhmQ43GoK4LsPpieFcUwrW_cT4Wk0fpEnHlZ9a0uoEiLbymJC6i20hXFq1OoYzhZjOmbV7oIHIV1VWv1kG3gcq9mLteTY54Aynag0ggS-fEJgsztI2FxKgJBIBg2sEFqVUtZIAnEKDQyqNMm_gZUxS1qoLQB2mLhMQlKp3Akm2CpRspkuMnu91lFW5mMRhStxqB0tMd11jHR2ubGxyspqocAbnZO1dUqaf5WwW1bTiVmoDq3cbWV_FTUapdP7lfBXXqdcQPK16zfDteJg3O0LGsenMF0kmdlDw3-0j3Va2KscYBi3ha1irMP7nC03VyfA4IEGNkE3BpcSCCdkE3DbGreMJil0iSWmQs24hCHBudRNgoJOkngrORUqoiBAlVE3AETmDhBKo8EzEjMKJWXqW9jnBsA87LKvj-vc2l1NQud3aiQVD6zPq1HUnahIO3KulZd7AT_CiEdsCZI_CsIBw4TABtdWqjUJ12YNRPOymgljSRsNzwtJUC8Zc9wJ2GybGNfjxlOHNBIJJxuv6G-OVjQRMndaFWO13aSQPwr4lVpls3kN5RFobpm8-cFGnT6gsYcFBzm-obnaIhWJaibvJBjwtMjTpSNIOo_wlHBsOcM8gLKqaS4wLA7jZEOww21hGTygJaCIvOxVFKbII58lRZVm_U1t3bGVYumfUIdiSNvChE6khpdIaNjykVnrNIpCQDJytJWGvUDToAwY8oyzgEtcIt5RWdrfTqGb2stOf5ZVi2Gkzc7LLorT-nTMuduiHE6jcyUFKBcHHMEZRVtOojcDN0WKspuLTkcX_CKq0XBIGOEQ9R0kCwbF4RKy1Hh1M_6gcHdEnbFUJB0kDXmyCEkkNHzKNyODdNgZndGwuGgQZOYKlZp2DTGoz4VYNp1CIAjKIeg4MyY8EINjLtExeYCLqrT2_SB7Iv8ATTRdhwuRyFlV21nMk6p4IH4UYZv1FwIFQGCTccKjy-oDqgIwPARXmVGaXCxBGShotAIDtXdFxCjUOCKlgLkhQGBGgE2OStSgkG7cRuAqhgDpsNSypGktdmPCxVbaLpiIB8LaN9B2k2IJFyqmPS6UzEHIvKlXxrpOGkAaidp3UUOoeGAXLjxyqxWerV9OYAE3hFjHUql5LiQBiRlTNUrXNIMkOtupi66m99MiB2kXlSzVI2gQXO02ybp-MkPr5j9XMdUHvH-WSRJMorynN1vJgAYg3EKpT09DWEEloFgHbrHJYJZcDUTuVzaTLf8AM0gWFzKtDVQHtvJnaEkZpWNcH3mI2W8ahy3SyABndZdJFKLr2ggmICYuHDwAWiflaMkK5xbeABtCyqTq0CQ3umyYKNeG5ytAscQTIzuUDsm5J07kBDZVmM1kRcTws1yxoYNOwng2VwynN5yBmVCdFs93aGn3UdJ2fU0NDpk4wioPqEO3HgYWaQK0VKRLSQQLKKi1513Jk8FKrW14LWyAXDnZZVak1paXvsRuN1Vxei8OmCA07xdRlpY4NGjIPhBUt0NjAOIWleX1kOJBMjhYo857PTdqmLRATV3PABOng8hc2_XSWgOdccKxLAAGsadNrkIzPXpdACS0lxDZWtV7Vca2SZMbK1qvGq03NyAHTf7rOMQaTSRETfKLmtfTg03AZadhsrPTx6NGsWzaWhLx1nGig8uxjjwp-OJ4eozUdQBzzhZ8DkaiGiI8coaRo0k65BGNKoemA1xh5hwwAso4ktIGTvBWsXWynXkCN8A_lTA0ajYGZnOy1iwepAc02MRbePlZV57vpkiSLYyjXjz63UNaTMn-yw0zPdLHEDtBsUWJOOl-p5iBHlGtQJ1Pl2YsgRpuSQQAbq4NVPU5xk2nbhTGvDAhxdDSROQFcc7NaOnDWRIETMK1GpjiQTkHHssjY0FtmiXWN9lYljZQqhrZJFlpjHVnlxd26RwDlZrc8ZXnIwOTsorz6z36S0EQbyjcqQaZJcZOysbjntGkg2BCza0zkFpAaQ4NsTGFi-MNPT6QGnU4wdlZRsZ2tzkxdaS1l6oF7B3zGfKeEYniQIFhe6arXSqdu19wtYsF40t1EmBwJXOqz1KvqA2g-EZSeC5xtY8LnZjYuA0i5ACiJh3dq04sESrMIcGiLxInIV6WKxojM5N1lU6j3aibWFxKsg4u9QjjcLa1Vs1QJBbM-ymMt1AtLAA0ADMKsvX6N41U9J-3C0xyuPRoua52SWjeFqppzYaiZjeLKrsULxokGSN4sjny7Rd3EA33GpZrFmFeyaZmTbYpHTj6hMAktBcMrTrE6tWwMzbCzTHnVqpJeREe-VzqR59eC5pEBoWW8IIc65sN1MaVDi6MaRaMKCrCdU4kWvhRGmhDpZIJz5K6QxpiKYLx3Te61LqYRzg6ZIaPGVrEARAcMnZcbGadpLCZAHhJF4-u9Uua4gATuq6Gp1A517u2umILepdTe4TJNimYrVTdMFxtCCrafqEjF5MLKCKWgRaQd91ZEqNZgfJuPCWLHnV2lpJGf4WVQBmC1ZDtYSLfbdXRZlQiRkJQ4pEAQZB_Cz6ODg1042mMrWCm0EwTwqOmxAgLN9UGmQIIt4TzpXGrIJLZJWUri4g6iYdhRnFNUwRHvlakxk_qRIt4gXlVo5c42uCiuZLAWxfK0FMA4hp4QUa6WxJLj4U8DwHGCTIF1R1MiYcLE7IkU0yZF_co3V6BLJ1SSFHN6_T1QIbOfFlqUaXVGugkxGPZGLaZrwYGSRcbK1ZTkyD4ufKRSvhxInONWylaTdqkaYdG-FkrRTqjQbX3AK5Eq9NzTAMLfxqi6W5NhusY1C6gXFpcSDc-VLGlgJva_hZytSgIaTiP4U_FsKtUlwAuIvCmKn6ndEbbolptWmDMN_umGqMfraHBovurRZrtIFpJMAws0aqbiw8TwFjs3G2nVGloggjcIacEvPAFtazYRSi8gxqAjc7qeNtjDIws0baZLGAYOfCip1XajEjV4VRM1NMSQRCxvSag5sAuGSICinpODXWO15WoKk6mG9_ZUc06LfUN5WMFG1ck2giymBxWAaQRJPxCuNTuKB5buAMxN1MbM15B3jeQpQGHvJMEGYupi60PcW03GL8QqzIhrBiQBwEVP6zpBOcAICCYA4_dsrgjWJqOAAxuTlImJggi8yRCrHlB7IiDwnrfxCpUMQRbBA5WpGf7SLhFhcjCpoaxpgxiQCr_AGjOH7bYIlQm_FaRAETM8mEbn6bGP0wbyMSsMVt6arpvk7ymNRUvEiwAwBwp4v5B6oFpWcalVpvg3-k3VwWbVjumL_hMwamdSBIAXXihTUc42MHmbLWRRNQw18-DG6siepGprIH4KzYmCww_S4gz9wpZVWBA-okDxhbwOXRIJIk2laWEcdU6RP8AJ9lzrpALoaA3m_KihqIJG4iyliWsXU1bwbErMmEqBdODJHByukZqlGrpaZvImCt4wqx890wfClg2dO_tBJ1bRCZRq1i1_hbghXcAMXXO-mYyyCJILfcqYAakkgnyFikSLiTsREG6imFYm4vsjUrgSTOnt9lMbAC8xgxqKzIHp1I3IvhbwOX6hBMcQEyhPULXRMwp8Q5rEgQbHCYzeWFac3jaVq9L-Qky3uNwdkv9Lursq4wNoWMNPTc2QNVzbEpitAf6d8gGy35DStr6SczmNoWdDUn6ZOoz7LRqvqgQCAfMrFNWBJAvJ4nCLqzR8-As6miKmgyBB3stxpN9WXDyZShmPl0gW4XMbPXGneRss0VpVHEAja6jpMbQ4BkjBBkO2RdQNclwbmyyxq9IyRO4UnrUVcwGYnG-Fa05sAX7h7IJvqaRE2PhNTwrKha0NNzvATdZ_Jpp1CS68jytLauCRHBRiacEOgSJ_KmLeztOh0OJPhSpi1MS4RZZRZg3H2Txnz1X1NDJtwujSJdebeCCpR0C0xPIVZ2pkQTA8rNaJiTEfCzgi8y5pubbKXoSqAkXFoCaCWgYxCtoxvdNb6bDnCiYR7BV1D1AA63sFeMl9V8P-sM0dbVa063ExESPdYrKbwTQktPEjZMaZCJJbHsRumJeknjQ7WZIFlYR3qMDYjzIFkqW4zVKrRBFuSNipDdD12mnduLGFvBIvc4y11jiWrGJj8hUx6bGuLc3K_oj469GNRuDdw_C2zqlMinJJmcq1PVi52RGkiwRotz-6_HCJVKfcQZwPurias9uHE7YQZ2hxdp2O5TUW0uAk2tyqEaAAD9ygJdDjIEHymBXOxggmwQOw6nHTAEW1JiqCoQ4FpvgymDRTeS3aSbkKEVbUaREkOxKLGXqLA_6GmB5VLcZPVLnR_IRlCvUbJv3bKDM8uG-VQlRlxBN8yrKlmma6HwdRjeUqzp1Rhe9p-kSoNNEhgBm_HKJptZGmfpOIRpWmJdpdYnhBoD9BIMWiEIYANjvjVeyLQILgQIJ8FGLNJWZ2m51AgZQkxjrfWT-2I-Ua-oPIbY7cI6aGoOaIMbQhaQNiYdcGCpWNOAWmCSXJC4ow644hVlwbJgmSDyg0tljtiCbeyDSwa3ac25si_WtlMnSMTYkFZDvY59MubtaP7ouMVVxkg3EKM7iTqTQ3JIBVZl2vN6oQ52gTb7KxpmbqLSDE8osVpETwbYWWlzS1NuTfZTAjxpxcK4Ha0OpSRF9kGdwA1Qd1KWr9NWdqECAVR6DOoE6bwcWVHo0aoc0NmYKzrTYa2kRIE2gLSJgvb3ECxiPKJYm54Muwb4CJjBUNyG_TMkqJS03w4kCR5CLGkPBYJIICNQWVi1xYHAN5JmUo-e_Uf0us-o5rWgl92ie1YaeF6TadY03ODdIl0GRPCvxCk6ywkiNgbLMv7VqpsdTaZE72WGk3kkFxiJWslSoGQQCCWkYGy1mMnfTgCLDlStwHu1NG21lh1nhqcepZ0QFpV9ILQCTqypRImAZMtb-1QZ3PE76DjlaA9XXDQYJFwUg1UZdYyPlBoa2BmCbCESNfTskQYmVgNUHabm61E6JVOgCCPF1WKkK1p_d4UxZcU1l9Frdt1l1I1oBDLlZQXQ3UNRxDuVGtTqAB3aLWRNO0QP-7ypTWvpQ8ucXHsiM2SLqtNoYYklpNlBsYw6TLsCRCCTqpgEkzi6XdGPqHFzLgEHJRt51U9_dxYArKED7gTLjuVmtS9GqVQ0AB0zsAkXQplrmkRBP7lXP8no_p9QBw1A38qrLr3OnPaZAIi0rTdZOpZ3FxEmB91LGEWkjUAfBEYWWpTMBLgISdFehSeA28-62zV9bmmWkRg22WdrKraoIBJ8e6lifDs73AjM3-yyf2Lg4wJgbkpFGmI1OLpBuAr6lp5DrkANni6uMS4NOIkED3WsX8u1muGnULuNlnG44OFQFknGxSzG2OtTIhxMRxssprJWoNY5wI-qCFG4yVGEFwbvysumdo1JaS8TxEIjO-qwA2PdYHZArBLomx4QXY0uqAHtHM5RVGl1JwbvNoQsWpkgkmZnPC0xWim9zIkh05kXUGunUBtYkW1INVEkNcZEkBXU-qHGm_cprO4hWMEiIi2kKNzKw9QJ-kQDZGpOtQAAcWk6owUbjiCYBHyFKupMJY8td9OxU-IvRaCQQbHJ4UVWk-XEEwSZthGTdQHOAiDC0POq0y0zNgZkLKq0XaAQXA7iy21FH1ZYZuVEZWOGqbysfU-ubcEkbpZK0Xugj9q5qlUcSQTtZGa00XiARc8EosNUzJsVtSyQI1CTY8QogGq24adoU00mt0lurtyLK70zrd09TUTNowiV7f6dqY0kETytxmzXoUdXqGbjjZVxsxfX2ltsKxYUl_wC0kiLlVccyAeDkTsomWuJBcGyQ4pjfGI1WgBwBjjhV01mMkEwIC58mWKuA24EyLDysas9edWb47lHVIHS0bEoHY0kyT2uQWDCHSALnZZGmlU0HUI04stDVqFRv1XyfCssjNIKZ0k2I2PKtqYQGSAbzuVm7UxSi8_UYNt91b0T0pc0HVq9hCjUNPptM2A33KsacKgquBkz4WLRoZWLDEm9pcpo2068iG6SFtmKNqd3deVYqfUVWyXNJJ-yWsvJ6l0vwdPLcrDUQa46_p9is1Vx9MmxOyRRadAJNxsEqKtqwLzEKQTFS4vaZPC0K0izUXTAKEF82LYHupjWlLpOkQFU0S5paQJmdlMQHNnucMWHKZBSiHxsHJYijpBl0l25U8Urag1Xdb-6ei82OknH1IFIkmBBIwr2GAdyVRUEtBGYzZSgau62dgEgpSBIdOB-CinpuLHAuMuNspIj0ulJJHcYW4jfR78wdh4VZxWW2IE3uEDMYNMHuBMglIOvBm0XsFmtEc5zoIObkQoh23wDeyzh4tTbEGx_-SjcVNTWy0XUqoTNSG43I5Wa1GgPc3JUUKj5cQTIm0KbrUK90guNoP3RrSA2MHPOy5sWnLw9oac7HlWClI6Af5BVa3FaWpokQByjXxpaDpbaywx79b6bwG6QSs2CjzpGPJAKz97WVTp3y8xds4hatlb16DNWoY9isNRZjhpNrztsoEqPNiSD_ACpRnc8icQBcLIBP0tBxyrZ2GLy8droIG6SAF7iBEHYhaxelaVSYBspTpXV2EkCyyAXw_IIOPClNXbV7ALCcrOLpX1zbnJKWGgx8EtnH-r-yLKuKsAAyW-6Y0FTIAGreBsqxbgfSLTfKyspnO0jIAixCNI1CSdwdiN1cTak8Obf_AE3haxMup1KgDZJJad91qRjayB2om41TEDhbWOP0gGYapVSie4i-AtfETc6YLpiZFlnEPTrBzReIzIWbDa10nH6STEYixTGrN7a2VYbnutEJmFqgqlzrwQFzqQpeTb6SfKq_FadYiLmFWpelDVBbMW3CYa00assz7LUXYqXkEARI8LW4mlqVA4WxYzG61FDVlO6B6uoyG-4KYGa8uFib5CCrSYgg32BWopXnTMkgchc2pXerHdEjkqFoufIkmIwRutZ0x2wVe6qSSJyFnFnSbqhaJmIF1qQ0r6xLhp3W8RRlQg6CSHZmENbqL82dJVGsVg0E6Y4G6rUZ6tYl5l2M2wufLqlqbSDm5P8AqMQmMpVXh0gGNpWQrndrZIg5WLAr3j9sATZTAtJ4i8zPwmNS3VG3IB7vKuY3p4OBkKqowmJIi5ClQpcS4nnnIUjkADgRdIOcNBmwvhABUluokzGUTPo0nkum4J82SOk9bKdjexHC02Y1G_TtupQrXRABkRMOWcDtqA4yNirjFurUzA2nIWa1PGmm4lokC-FlPqzb2No3KNwj6uZiTYEKqV5INiDGYCAsqfZQaKdXV_ypYNdM9sRc8LLWtBqOaNOJzdZRNhaXZNsq4jZRfOCSFmztuYtr1TJvKq6Uvde2UaSqEaZz_KMWoBxBEk6vKnTDXQxc3PBVI0agD3SEdNxam-G-6JFBUMTHymRhalU0tvaeFnOxZrjpBMRytYF1Gf8ASDzlZtNLrmDhNTTB4AmxJF1qKm8htSxIIN1KBloJJtmVjAj3RYXslEdu4xtlMIkcEzPg4CVLUXDIH07nlNTWDrnOo0XPESME5CysfH9VWdVrPBg9xgj-Vz7-KZvXOP6a-i0tLZu45XbesRjDQKYc0l20ELnukZKziBpOy3iol_Y0gnUTjhGSO0tME24CngVpIBbJ8SNloECRZv3UH4-qVC0aSLEL-gevitAQBBJk8IzVJkyww3hbl_a-HD3WsTGJXTIrQXCCXd0Y0qoNMgy7ABsEFmS-mb3m3hSrDtDS0SLxEyso5xAMRIGCtQI6dcA2kRGFQ7GgCbh3tYpp4V1ObHe4U0cW6nR2zEHZVfh6dRzBeBeMZRFGPe09oBBWWo0tLSS2L8hFS6yk5zZbIDbJ4lYKrwBJ9i6N1pNZKrSXahBcfFkTU5BZe3KKRha45Pm6IXSQdQsPutYKn6m72WS-A1wMG088KscWmmLyb2wEdFBULIB97qIq2s17LDuOJQOyoWnujUimp9ridM7-yJhH9wJYDO0hBkcBpJdAdwgzgd_dcYRSOs6DMA7boEA1OLjOmZRFWkATMNlATU7u0W9kFmFzTOnUEg1MsSXgOBtZBZrJggBrY-UGumNIBloac8oNABOTqBGAoMNSidRBOlpFr7rLny6d_hS9jmgAHck7qsyXXkdVS0uIdqHJCOzAQQ6DAEZCtWHpgOqTtwo00Ui5w_7hlCrQCDzGyeKk8aQIv4URnriGtINjlGafpn2E7YUnq8W6k6SDtO6qtdBziSNY-cIPRpOLAQYIGClWHJGkOJn2U1dZ3nVUJG98KpWauyGRqAEzCM1NlUNyMW8KkVJwSYE2_wB1FGk92p8w4g5IsUGPraz6XU6ZLAP3bQs2L8fK9S8dR1LniA3YhTU0HQ-mCSCQQIRppaRVaJEFuFi-txOtT9NskEicASrGag2pGoTmwW2XOeHCLhptbZZron6hEl7hdZxuUW9zxNwMEKttLyGt3B4KJUKjtTocJAHKJpHNFiPpgI0NQAf7wgq0l8dpF8AoxWqg_SLAW2JVxNW9cNADZ5kJOMNB_UEkEwBGAozamahcBqM-EC14y3tOJJQGjULxd0D8rDpK0sAPfPwstB6YJknS3JjhBNztRIIMbXQxFryypDhjdBu6aYlrgBcws1pqZGoRg-FBVzwDpBgJoWo8hpDvpmyDB1AEEAyCLSEXWStq0ahY4WDU6d3XlA9R3Fx9lKdlokgwPpKRLHodKSyoCXR7DKu6Tp7LK50h0AjEBba2mbUDr_uO0bJqBUpatTgIlZApU9MiIMTMqGrU2F47W23uqa0ta9pacgpuhyC4w7YzATemc7ULiC2BG8rKqAghwd9QvKznY4SLGS3la8SzRve8O_stxzsxzXkxE4OAjOLseA0QJvfwr068fEzOkEG2Zi6XtonUVDJJEt3EwfuuQxVnAutg2MmUdJ4yPqayZbpCw6zxnrtEnQbk58ovxne0QHA2wYRlJr8MB7rwEFaY0Dgn7SqLudobe98qJQoVHOuTlXWdelSc6DDgTwQomnDmBuYdxsitPTAv1DtAHKKuC60wIFryiVOqO6Rd3lRnxjrw10bZtyq68bsYxqD8g3RRbU0kkG4WWy1tIaYkze6niAHFoAbMkSZ5QbGVdAZEaSN-VQ9Q62ktseVqQeeXhs_VblZBokv7iA6crTUXILjYXOJU9SMvUQ06myDv7rNjN9SDXATPyudqyne4mZGPOVBB5mTH3QVpO7sCxQamm4Ob74QTqnVkeDZBEy2ADugDyZuNUibIlb-l7mNEBWQvcev0btI0HEWXaI30XuggEHhHG-tTAHEHixlSEuHfV0aAB_2xG3K01oOqRM3vxuhpGzUJIImSJKmrORHtDqcCQMXyVW0KjCxsAdp2lYWR53UvMnI-FzsIxVGgzYyo6I6LyREfZAHvA1NDoO0BXBenpaRqu4391BoBES77BA9OsAYEQdiEFGv7jAFrKgaw98XkZjCm4lAOLXQ2wGxCvs1zFrXAlkjlYClpa3SZDtiEdIcABoOTumKemNR8Tug2UHOdAJ0mI91e2FnFwHcJKvYzVHlrMwZv7KVYxOBcC6fjwudWpghkGBdZotTdGqbhNVwcQ5s28qp9Xb2tuLHcrap1oki8gYQdTY4tN-LFAS8lgtcnfZUIHOG0g2U0XaZgTPEpoqzS50_-BBuYy0BoNrFBk6lr2PLTLebTKl8So2mQNUGLrESNrLsJDbC0LcaBrHNM7ebroH0mmTF4WApaRcAwTlM0cNQM7INHqO9ODLWnI_ugUVdd4JJsoN3TuMAAX91uVHpUjIcfpdEEhXWVWOlwtc4J3QVFRoLY7RGEB0wb3nCzWkS_QG9pJvKzoei2XsJktB32VVqaQGGXHTkFZWBWcdWmO0KVGek_S83sTYLLUbNYIE_ypW0nkC8ROAsQKXAk7GIslC6SAATkKCjGyAS4mMIKlwfYERN5RZVKZAbBxyFNdPjUx4ve_AUrGNPTkOF5EKDQDItaVzF6Ra4gt-oQ2Duo6xro6tYvbhFarjiLKBHktBdBtwsjLUJdG8nHKUK2XNmbDBwg7UWiNUxyNoWg5dB8nhUVpuLXBpFkFajjpgDuFrbrDWdFL4FxYDCzjIh1heRjUgdr3BsY8lQNTcGuEm2E9FJFzIAVddCtVLQ3uvuFlilbUmIdLsq4yf1NAcEa0DVJBItH5QlQqVbTvyVuNayVKwiSfNlplJsF2PIRIJeAJgj4V-ImXWMuJb7wtTsTcZw6ASpZg67ZtIxKi6qx0uJg8fCEbKT-3LiOFLNVR_URAaR_cLP4nRGVBqF7fhTBqbUAEEA8RlWQH1NQ4GCtYq9Elsdwg2uJVMaWOOmSbeNz7KDrAtH7DxZaibibnHHCuStFc_EukQpmeJKrTrQ2BZvlMbOyr3Ac4K3EM5-vSALDlZsCOfcNJtkhc5AHuBFhA5Vk-qzV3wQbT5WoiTCJEgG0yFqBhDnC11oMWHSI_wDtGNVY8scMOIWWq1tcdNxB4laZ1N9XucSSZ8LFnbYeppBEmSU2hHPmxBjIMrNn1az1XS6ZkbBYRPU9pMiBmOVoPTqd17_2WWosHycY-UbMDN5xur0rhUlt8zKzUVkkA_VOUiYm6qRI2GCFqSJfCOrarkHUn0Gm73PgLWaYo0g1A6cbRlYw4r-oIJm8qtldXkf7rIYPBp9txm-y2lP6gdDgJERKmJh21tT-2wjdca23UTqb2ieZUrK5qkCSIO0KtomrcGwGcSrADV7WgmygGoYJiUGiidybBBvbd0g3WKKl035WArbG0kG6B6b3MOTcwUGtlURmPMI1DVXAi18XRq1CpUAOnKMFaC25Mg45Rmq03tdIDreQirtfrDYOAmK0UXlzQTjlZ-o1iMHZUM2C6I8ZU8q_DtwDaTlLUFzvusyJCa5jz4W56qjfoubGbKhNUmBJI3IysVSVHAwJE7hVCHtfa58p6nqVV8C4xeFnwxKo4m37jmMJqVJ2q4dGn3hQef8Aq2p3RP5DT9lOUo-JqNLXCbgGwU-NNf6a-kazadRxYwi5Axda45vYT9RNCh1dRlGo57QbOU5cZL0keX1R10yGWC1vRWKXOM4ElZ_pBgO02kcqijW6m3j-6vvQ57GtIEHHAKl6H48vVfaY_hf0LI-M_GKCj2amt1QCFKlibe1oa5skWKlZsNr1OgyQMGYhWXPRYO0NENvJyVv8lVpVMh1_AwFvUaKTgBpaLE3lQMKZAJgyTacKDgCzULkC0BUsyAGEuuJg5NiFdD6yzu_YDYJ6JPqEOkiRkeyVYam6QZAkm0pF8PAfYAiDc7FVFm1W0pMF17LM8FaFWT22eTKY0tUcDTdGqZRHj1pLHQQHTN0GdhI0i4ls9wVjNQqCGknuM8KqhbVB5vCqLtgPbBIF7EZUWm0AzB22RHMomImJMXQaCdNPMmYQJkWEgGCEFGNLQe2eJQWY3UbxPhBV50wSJ2iduUVM1Hk90HyiMlYRqJwMhFjNUlz5bBHCDnNkAPN9owiOgsBxOwQLTbkktcBPaprUaGsJMfSDyoqtMG-kyBwNkYXotlwdpnlptC0N1BjS4HTH_dypVVLdLiSBqPA2VayHph4GZvYRlGcd6LahNxMy0BCzTmHHUGzN4O8LNiPJ_U2Dt7SNV4CivFfS0mT72VoLHAOGpuppG6zlGpgY2Q2_sq0oG3mCJj4VE9BzbKDJWYSQIMFSpe-zUahBAvBAEbrE_ZGhtfUbfTi61Fej0T-T28LNqxtpv1aobBjbhZrNXEMBgy7cLUmqk6oS-Q1zbWM2WpMGXqnF2qdJIFoVGRtW5kgHcnZKHbVkCSSJyN1nQ5qn0wbuaDdoFyn5K8z9W65j6b2OA-mxJ-lT1XiviowBsMkXIGCpjJTQc9wMt1QB-VZI1400qL21H5FsxZS4umrNdTpOxEbKRK80nVmMLdIDwAyYsIkBYbTZAdMDSNig0NILdJECZRdGXBoiYK3DU3MzaPE5UpBsQO62wWW5VGs1ZkgbItq9MNabWHK1lc3GW1A4x3DlPjUhxpe5sGdk8ZojtFiJHJU1nCCXyS2SDgHKii5gJJAMjPAWapSGh7YN4yVnSetAOlxEAAcqOs66Ua31AATB38I0m-gSQALN3O6msgaVjAiDHus72NXRUwKjSYDOCtVYtWqAOGgkAHA3CzZ0UW1GlgIHxusxRqTYQY3G8LSxlqsgAyRmAVarFWaSQTadlispkmm0Ec7qBDU9Qg3ObKUU6d4a8Ac3UvjUbaVSKrRM-ysSvWpAMbd0E7LojRTcMAEGUNizJ0NnyBJUi9ABBa0mdilQze15Im1rBZo1hsYn5CmjoABMaT53UHNc21pm07ILNIdbU33QEWeOfCuiukgF034KrPJKmSDqsJkQm9sYpSaBcnuCm63IFYlpJElvBCRpGq9radxAI2UPXnzIMY3gZUrshUcHNmS0jlZWeMrzaJxe4RpJzpEGzQNkRMkAg0wIRVGu18xt5RLWymwvYQBAGYRi9npUvS-pwnIUrGVpptdpl1hkkbqE_R6LNZgjtz7LTfjdQDQ2WgETecppqpgHzteES1N06ZJubAlZrDD1M0QWwBJkkbo3xY2iCJsRe26n13iYEC93eUt6DtdIkW2hZBNNuqZsdys_VVpkEaWgiORldJTFKp1AtHaBkFblZjB1LXbXWap6BDW2jyoKer2iJJNpVghUqTdrbjJOVLUpPVl0QLn4XJTRJNxbwgg-oOLIGZzEhBoaYaWiTPCDi7FydoQIAfqktvFxdA7QBqkSdyrg29IA04tm3KvhHpUDIgGJ3IvK1ErayWNAnG4F1XLk1UyQ4kxeIBytsC5zi8iSGi0KaaIbLptzOSmpoVBp8kQsuvHjoMcBtvstY2lWAEwCIupWnmdVJqRj3XOxMYqo0hxaY2J5SxWUvIGlpueUagsMmyzaq4MMED5Wfoem6SeeVoVYJAceFNDgyASLcKhhFvfZZrFMxgc64gXycqb0xXOOkAib7qqLjqBN_dHSA1pAkQ6boq9LDRBmbwkGlkwLFvk7LcuMLl_abybXNlfRMtEdwBnlSrGLqaY4I8rlfGmPLt-MLAdrtLCJmLKB2gF2rUQRytQOKtsmStQdrIMxfKCgfNIGM3TEcY1NIMGbqmEc4NcIJRXeoXQAIGFB1KqWXOo-wVlHp9P1QBZ3RK1obqXeoS4EybSFjklZWWsbicrn-WsqU6gaC7PhdJemvWls1BIt43WopHANJIMjZXoXY31Q1075TQalIg2Ig7wpiEDTqwJFiFFEDSZIkjhZRrouEWtF4m6sI3UnEtgi8zBW4L03lgGq1trpWasDBkgAHAKjJzUJd-0f2Uy1uJiNRy7ypirMMAXE4IOyKoGmY1C2AAg57RqIJMTIPKVYzkGbQYwud6KvTlo0ky6PgLDoBDZ1HbN8pixJzmsdEnUTNlK1TseSQQRdRhWnDXXMhpyoKNPpE85Cnqw5cZubESFZG9UZUIE4JtYKU-N9CpJuZ8rMZahBBWbA9EgNIh2chMalb-n3BM_CzWovEHE-FGkq1Ui1rbyp-IyGodUG0mVcxNWpkOZsTM3WU1Ko_UTpveJK18aKawAvJJ4WRejVDnF2MWWidqOcXOMHzBWWqXW4EwSDwEZPTqHSJg-FPBUgEguxOFkc1zS44BBkIL6oZtB2CLrPWPqPmQCNlqQnfRWOOJIHlVb0oXlsj_TckFZxkhccTqTpekqjwMiAeF0hrM4jVuBxGVUTc64ibYWaOLy0xMla-iDu4wSSZxsFdHepfbiyrOuc_EmR4WWlqNe_jAk5UFvV0uk7bRdNFWP1uiYOZIWqvptemwOqbmAo1ijKmkAuBGUzRemdUHSQUtRcGCIkcFWG4oyq4EaSdUpYvpnVRUgggjxsVPE6K54JBAhpQK95vAAHhXRzXQJJnwmrVmVCDJ-AtEqhqWkN-2Fav5J65dMZssYvpCYOomeQriVCtUl2IHKyVwraSIMt5WmZQfUIN8HhVbT06jhOAPBV1mG9XYm44Uq2tPTuERJxMyiaNRzdXHEp8b1NzpZIJg_uWl1N9QNEmPZSprO55IFgR4XOqHqTkEhE-mc6wiB4JWcN7VpROY8gqOsvRnwRc6ZtIRJXMeC4GdlNPyM1--q5FgspukdUJaQdwtRne02Oc0Ex8cqtynFQSIBj-yLq_qaWgXtdDex9Ub6reEXSOqy4_ttPwhsc2pLe207bqmq06pNuRumjRRfpeNXdIi65-tVro1NL8wB5WcxGsOB0wYJVgUjSZFzMWVbZqxMB0EG6xyZrmuBc2R-VJSNdN40gWvsFfFbqT3AnKxRYviJIHIWRwfLhFghVmOABjYoQ7XYkyd7I1vQmrqsD90tZpXkHAHCkZK58AFrVVgh8m5iEVqa7uzKo1Nf2_VF8LNguys7F7ZJ3WJ0si7akmYgLSH9Q2zfys2aOYQ6TIImVd-QCdLSYEzMK_GXTbIINwrrRTULBmbrN86AdUIdAwLklZOivcTFxJWtxcZ6hBFp9lfYlLgC5BJUxkjgx0gu-SLKYPL_VhUp0DoGpv_cLJyvQ-Nc0tqOdmT9lz1dJTcRUJLpA28LQlTDdTmloMmZBSRUOobpJkJWUS3TAAtypPRJzg1zhtawVorezN4vsrEglzRABLQEt7V-PG1NABNOWxlffyPjlm13G4Hachaz9pqdVncHEQPdTpmuoub6ek3IMqVMMZLbi84VlZw-h7QYsXbLc5Y0vTqQMTBMBa9Rf1TUMA6TmEHCJMumTZFC5OXOEgQUQzDJdnTOEvQBaNUG42B2VlIXU25bfZGv6Upw5xAEDzsjOXVCBbIi8DdWLqzC2kGuLdJJBVPVnPDmwDeVk8eX11MOnR9ROUGSpVOm7sbIIv7m67jiFRJhHqO7hJsquqNaXkw4yERem30hiMSeERQiQJtGDygUsMadRN5QFoByQCOVF34J5mwyQojTQcAC6NR2JQM4SZIF91dEHOLnQbEcKjNeoTeOfKCBbBgAm6AVCdWCA3IQK5xf77EbIGY4OLWhsGZWRU1nasQDyrir0n6bloDllGqnU1EEydvZUaGv7Q3UM2Spbhx1I0QfqGPZWE5dLNqFrA-5LcAGFrV11Os2oQWgNdcGFCKmtqiTAaIsjWY8yu8OquDnbxBWWXn9RSIIwARA9lmtRE0XaAfpAtC1AW9kS2L2PKI0tqzILfa6jabvq4RGeu0wDMQbJRlDw17SSJ5AWRsbECbA4Qbqbwx0AT4T_AEvTfRqmMARkcqWT4nq5LTtBOVqRdQqw4O0t3hU1Go6WbQbSsjz3uAcSO6fygLXObGo6QFMVxrkyQ7SW7hTqDxutLT1Bw5pFzyq0RtAuqaGuN5IgKW4ivT0jEaO8ZMrPJWpoIa4avlVay9YdLLEmbYVmObzC1uS6doC0sLUJcQBaTb3Wcb0KYD7_AFHBlRVmv1HeNpCB3VBOki3K1tgnbUAMndKOc2CBefAU0UaCXWABJhWdrpg_bN1tHNcHAhwuRuVLGtFlf0nt8TkrPbJqlYAxpE2MrIq02kADwFgUDwTdwAm7UaiVRobqDSPAQs76VoS5pJBcudb4xWjBcZbpPuo2rVpEMd4M3WtTECZcDMgjCxeP1PrRUYQ1rgLRnhXWgrRUY04NO5I3Tv6lCg86u4zaZTlCNHqkuEaTyVJNaidWkXsc5zt5ASrWGuIJi4G24WWGOq6WgbkqrHDtGYg38qCrCLECJygr09SDBAadipeh7vTnWL8YTRoYYAkAkXurupTUqje2wJNjbCn1Kpp1X1CBsP7rfxPoh0ETLSbDhYrcaaT_AFIpgyQM7rILnaiATM7lUcAGkaSGkpIKtBDg091rBawOHBjocQTkkH8LIZz9Ys8E4hAoZpJa6M_ZBqZT2LoG0boJ1oZY5goMNd5BiBAtEoSslUelJaC0e6w6ds9V2lwdEg5BRuJdRT0Akuv90VmInUIOLX3QSdDRFtQ5QP0j5Ba4SImETXodMDTB7bORVarhrggPM5hGWqk_W0GzRsAVMYygO28aH7lVq9tXT1RAncZWa51oaBVJgam4vlPi94SoWthukGLXKjLJ1BFJwaWmCLqb27cHnVBoOYnPhPXUpsQQJPhTO0Wa1r5zc3O6uKAcGm41gbQpgqytpaTbRMzwtSAEF7iXEkESFvxIhXBbUMOgjY7LN6Vl1uEl0kzaymi7LtAccbpoWqWESAFKlZw4EuESBf2WKqrpPbkjflQSgExpvygYP9MkWj-UFZ1GBbygAkQ68G0ytQWYLS508jlKuKU2dxEk8JxK0Un6dJLhIsQteI3dPLS2LtzMqys16LKjWtBmL2HKrlz9XDmkQHT_AGUYM4gkH6Z8Ih6EAu_kotK46hZGpSEuY2GiTG627JvJ0Tpk7BGnndU4aQcyfss39DFXaKgmQBwuX5YMbmuzElTWpRbLSdUArKqUnjew4VwOSA6wsbJRekZDWlpICC3qTYAC8WU1nRkMcBiFGJ3HNqD6rETF1DADtYtEeEWRQEAG1p5ytNnYZ7RY4uoqkhuJA_lagux5dTDgJtyss0PULgCYmVdQ7G6Qf3NF4JV3W2XqXAMJAkGbEqcoMmoOaY2A-FxkSFkNkGx2I3WlMyZbqzO6kJ6pTBcSJwt0UMASM4JUgnILhH_2tBw8QbXGw2TQIOmdvZB1mlp1C4wQlAJtaLrCfThxY4adrytSq0N6xxYNTp5CVKUuLx9UN4WIyoxwBNzbC6NdtfTuuDk2BUlU1Y6XEDtAxKtAbWDovG0fwpKmtIqawO6AM7rUqmqNA7gZIMTCUT1Egm_GVL4l8Up2g_V_ZSJHoUHgi8z53W4izKgdJIgxEOVFKZNQEgwOOUFWhxyA4FSirwGhrjbyFlOyanAuIiZ2ujfwQ-SXtaC4Zgx-FLEh3uLha87nZStImodQgCPC5VYsSWsuQZwUbhHOcIH1RusLuIeoZMXO8ItrVrDadzI82hEPT0taI0mVgVL5NwDAViw1M6mhpzP2Wl9Xbq1FtxH5WfqtNMOAAbl1oOy18GttUhsCwGVhg9OtrfOqDhZrUb6LtImRAWN2rouquucN3haxd1AkTfGyUpJL3AOIMGcKQ0hqEEBueOPZTCia0iIJ8rKTXPIc4kNxiEx1M17QQRuYBSJrXIcDAFt5utKz1XH3JsoK06jg1twCdt1noaHVS5sfIsgSWj6oCzRUPMQ06ovaygUySJjyt6E9aCCYtgBF0HPLj5zICI6c3kgK4IvJdcOOkbcK4JFwIBkmcDhbkExV1PuAfIWaA54IxNiFZN7GeodTgBIA3UvSUkmZAsDMSs65245rzqIItkrcutSnNU8S7-FVivrAjcQn4tLUKkkm5spg0NfAkADiSrI1oirBl2CbwLLPjOnpVCLAzJi3CmDXTqxlsuwFZfgsKkQSLrQem4Q3HlXBznQ3BM-FLF0nqgm91nDRDwDYQCZaU8NWYLAmQZ3WojqjvEGcq1Ym6sdZ7Tqi0KRdpHv2Mynp6jUJJEFx2hTEIKhe8TF8hMRbUCFT0hcG2Ei2FYHY4gAkgEWmVRq6dxcMfY4KzeqaevJaSBMcq31ekdbSIIi2YRdiT3G5kuExAUZQ1lphuAITK6eiXk7wSM7LN9VOnpBMmOStDVTNgJB3kfwsWCk-wWQmsNm6YOFQid_bYoDYnOolApdbcTa-VYA1xGTc2hawMKxwQSBxdMxVTW0tvh1pUqI6zrI-Apgrdo5KiqHVAlsSOUPsWY-7YdMbcFZjq2Ua1pcO5SwaadUtiTdZlFHPgSII2V0QqVdRyYG0LMCToFgZQaOnfJANvPCy1G6nWixMk8KmrNqh5lwAspYC6o4NJGCsWBqNUF4BMCEFvUgGOMoGa4X38hTEoa95lVkNQfc2RrXaTIkiBhTV1pZqEEkAHdag0tLtyM5CWaNTANIM42XP6LFw0yAAP5WUnoNOqPNytKs2x-nzKzrImmMHIvIV3fQodAAKua04yGwTbgLYkTpOSPcLNT6V7wRAJJUzFZ60ggkyoEdULTIIIxCrJDItJI28Lcmkef8Aq_Uk9IWvdAAycrPLtp8d1JGsw_VByucgk3SQb6bb7qp9R1NpOji8qVm0lSxIcfuVRKo8abQADgoeszzBBAN_wij6oDwPq5aSrIHeS4gxqtlZwfkShak4RLcG6-_8fHlDdDwIh2YnK3PEUqv1AtI2sEjKFJvc0ATF_haaXbLoc617Ln9ZxQuuCcN_K1x9T8TEBwDg4i0AJ-WMXpRjSMdx5nC3O41O1mASNUAZiFTFCYaXNJdxxCIjrcQYaP8AZGbtpXh7n3MOi0bprU6VcyW_VIEXHKKcNgkA7fdainALi2CdQ2JVKZ7cPuSRsbLJDU6jWuE_AlX4pa8VWugxdQePUoupPdfMwYViVE1LEFgAHKIQzrc6G3Eagqs8aKTC0B0nS7JRldzGlpAufKkBY0ahedz4UoUhxBbMnJurGusFgFNo15PClZK6dUDubNxCfBVj3QW7nEKDRDmsbOnkxwi4m6mAHF0QcErWjLUAoyA4i211SI1exxIdNoMFTCubqqRgA7qok2nDgbASUbW9ENg6YKyyWDq2k7FX4izaoa28XsRCYtaKboc2DaFUW16m9oBnlZyh2_tEEuF4VwyNDP3C8HYqrpKru6RaBGERGrXdTJ7dX_xRWCpXc-s7T_KyigM02a7htvKn1qAWH6blp2JRS_4UvEkkkYGymJjg0Mbnu3VUoOkgOtBmTugjXAdjZSjC6oA8YzsFBSk91SHTAF1msvT6cAMDXXIMys1mtbY0tPyt8VaqT9LDqcbnhdG0604dIAMgiyjDOSBMjflc7u9NT1KpptGTwnbVSdRncxMyrUZa4LR2tHdbUpZ01Hn1abtQIaCG58q-BunY4u1tDmkSFLTxr6Vml0Tc27gs-rKZ5LHXgEHIwtfGrXn9bU1yAIUkYYHN9OXWFuFtEjd4gklF0C5zDA98IsUpgs-q_Cs7bVANQ3sAJyqjtIGcRaFm9AOkBp1SSFPVFj3DYcLXiA5xm9vCTwTqHVJFnAZhZ3tqQjS4gOJu25JWtZM_q9QIIEjMLlq2G6fqXAkyRxKvSPQpO9Qg5dH0gLDUXADqQBHd7o6OazTDbkbhq51qNBptaZgiAkDucXNMix8LQzvbofIMCMFEaKDvUp6X5GR42WaqTholrbk_gKJQpgF7ml0tFlb1CLFogSYvaFN1XEvfTgmZJvgwi6xV7nTIUqMdeQSIF1kTYdjeyCtOA0ybbILUGljSdhyg9ak8hgcbSOUVpYSGgj7qUWpEDUQTPhSI1U6jdABE--Vrv4Oq0y6NMOHCf6KUQaZbYZzGFkaHgOYGiA7KQK1mo8EbbLQvTe0CTnhZolVZckghoP3QMxw0a4BhE-qUbm4MHaUVd9QFgaHRwEHVGu0NJuTiboMlWi7VJbIwgyVunBeAT2jYLDpO0n0mnuJ8e6On4sfUQaYBcJwUGQP1agBJB5VonXZOmYJE3Czop0lzfGyo9KhSMEG3AGUZB7iHAOi33UZq9JxqEFtvOyrrPFdZcIdFjEJjnZ2ag6aj9QwIHhEkrSXugQTMbI050aC5xaTvaVK5MdaoXNDmwY8rLctYngvpgmLlYdJdHpmjVfLrALbUaC3SRoAkFZ7Ugbqf9WbkJuAOYCYvcyYXSCgJYYzxKoz9S9odBIJ3IXOjM5-mJEi0HlZob1ZaBzhagUtJBmSPCtEmt0OOcSudA1HJMX22UBbJw6Z-6AAlrhE6uCEF2EayJscosX9MOaBO6u4tgNa6m0QJcCrusi0kiS0AmwV8a9XptDo1WEfcp0y9CgQ1zQDFrAbpGb09FlPWS7DbZyOFuOVur0mjRAbcfu5URSjJ1OuWk4BlE6M7TJbqJaOEJCtki_8A-jKE9KS783jAW3cKlzGktEZBRr-mDqaYEkTHK56PPdckHdq5X1ms7oa8wBhI3E3NLpMR4VaFpiNzk-EDNcS8jb3QaaLphth7FE-neTPZmeFliiDDjJuok9I9x1QLeRgrWNxWk0gXBgqtLgDTMZ5KDhnM-wUoJcHuP2UganU9OHAYstCoqDVc3F1mxmuqVw0S2zlPCMdd5cRcmThGkGh1tgLXwVkAEAgut44QXEgTkZQcKmi4EQpUo6y5wMn3CSxIMEmQYE83WtXU3nuIbqG0FUWpOiYPwUUDONyEHNOkgvPi6lQ50iSw35CzKQwZJcTY8FW_op6bpAkYWPE8VaAIkwPAW96XVqQ0uGkEja4upE_1Ws8FrRFuMQttJNZD7uBECAAsjRSLnEMtAE5Vg3PENHMLWCES6A6Bup6Gbqc-QBxKeDbRdAAI1XOdlrWa0Nu3aDZVVBVDT9RCFPRMnOL5RlqDSTcapv7qNRI2Jba-3KmM_wBpdweCIdyWlRs-uCXCwcsVKR7ogSBYGQVlqLiqA1pJjxmUbhKh1DsIAWMUgDZkGwz7rN6FqfdkDm6Z9FKcepAySnoYyXYBM8pmAho4Oqb8oNbCDYGTstNtTHObM5KzfTv4oQXCZJjjEpU7PSkdokOm4C5U8enQcQ0h0DaIlTAxcNJ0iRO6xfVZ61Utn6WkZXQZ_Vc-BP2KmLmmdeCDYZVXOiud3j9tln8d7QnqkEt5VyOi4MOBLpByBssVi1enVaACSY2i6kALmuiDMclWtrMaW90yAYVwW9SSR-4DhYxMLp1u7QJx_uiqtZAw6_lYYBxll7kC8LVjaLgATGfOykE3OMgH6toK0KhzWU7i58rQg-S8jAyYC1Lgg6Z0wBaZlNkE9Wh0FsH33Vk1Dl0guIwl6VlrQw5IJvZZs0QqPOswdrJnTFPReSDM8SSkgLB_mbx_qC3FaCbzE8eVpdM1zgR2xJ-lT-jV_VJDjm_EpiupPcJDjm4SxKsyo3tIB8jMfCmDRSdqAMXKitWofVOdvKm36KF7WyTAO8LUC1HESSe3a60JPFyBYkjJWbBWm63dYBMFmVPtxyn4_Q-oPIBMk4HC2EePeQpDUajpE_ErAzF41QDf3QCnYxAIPndDVDUgX24VyBdWp2dpWhRr5AkmeUDUKjmRM-_Kl46NjgXCSYHMypgzuBBse3daCOqNIbvGLYWbBF7A0HusFAorOa6LFpWa04i40wTB9kXV2SRa5AwTZb9XVy9roh0g_hc7DUHSbkRtCpoHU0yBbCzVPTtMmDuVAj6rRvJzdbzodJBaBBOYlJA2m5AbDTyVrMDMl7b8QI2WOUDlrdU3lZDOPE-IKpYak5wJFp4JWa1L-1mkA4GJKkaljXTcHAEEXxOFC2LMdif_AArBsXaRYkACMThWRpne-8zF9lcAqVg8yDhZ8FaJ7b3KlGn1S0cyeUixVtUgQIDtpV6-mrCq4twNO5Wbhp2EAyTMrCasH9kTpnYhKumbU0QWxdIhRUBJbNgOcovxzS0uiYH91i3KjRRaXHTY_MLbTS0AECL8koNDZ-PGFLcKZry02sRuuepq7Haxc3OJW1UbLZIWdTTsqWvMHdazYoeob-eFhkNTXP7bzAjC3eovji9sRMn2_CtvSlgkZ-JwlnQlVcGOltwpJpEXu1tGJ3WbO0qUasWlWf8ApQHOMiTfCcqPJ_Xo9B5GwsYyd0tWPk-okslgMgSSQsrqdFuodwt7qalZq9VpaZMOmOU-omahAMj77qjhTc4zAibhP6YxN4c1xMDOOFLMaIxom4s3fcpFPUlrrYN11wfj7p5AfBJ02lffvjf7am6Wj1GidpWahK_edM6XeeFYuEbU9NtmCcRymdodlTVpAIJyfCYuHDoptuTblUsWa-YJmATjZZsZwwf3gOO3C1F8Wa4fSTAG3C1jNrnADSf7ojiC18ukTgeEAafU3kFBXSS2YBE7lVtxAYYMuIGRukFA4CwFyQtJo1AHvIktiTLTdTQtMt1Czg0jA2UUlWnpnSSQdioyy9U41WARjZGmT0g1xGCbxCJQc2HmBDYsqirCXW4vCM_VGsJEGXErTR4DRJuDaCs1O3HtOmxlDNJkaSO6bKHjnMAJt3ccoK0RoAM9xNkFvULvY2RPykSL4cdRkxElVr-2as0Nee6422Q1AjSYmfK00Dn6f_keApWVgJGsxcYU1o7Hhxmc8JQn1G1z7fZaSqMB1OaYG6k8ZO0APBAsLhUWg6A7bgIKMJIsIOBOUDUmEPg3PMoKQ0tIce4CZNws1diT_wDMEkAnwIURi06ahgQJsqsOR6rTJ05wLo0rSpAC06Q75NkDVQNIAEXvyp9NZ6rIAj6Rccquf54QfVuQSIRdlZuta5rTFlK28txuDcW5WVjVRc7U3BP9kWt9JwcABfSFmudjZQNpx4C6I0NqBjgR3GZwiyue_wBQNk5FxCJqcgWBgC-LpZsGes0E2tOyYFa46XNLZjlT8Rn6ikN99wVK1GR1MgNAaI5A32UXw9JokNaCBG6ym6ejSM34zKGjVaA2HuNrwr8beV1RLTq5ViVgeTcTnAVWEOQHXIuhhmah7oQ73mIAA8lSetg06XAOuF0_oUqkgNdMDMKYE1uOYghS-B9UNBgBTUrqjmlkwTebLSypMJc6TYBcr63K6vWmmW44I5WGvUmsdpbMCd1lcWoU2h9zI8WWoxZrbRlv0_TMq2wksaadTU0ACyzrqLQ5rzLzpJsAnQrTNyHEyMJErTT_AMwGQRGylWBUlv0gQRaVOxEvB7iNJGNI3VTXS0zcknJGyzTTtbkC42PKnqqyQ0mxO5P8JmDg0NG5i91KMnVgl9jG6ixirEabQeD4UxamHkGwEeyMqkAmBMkYQVpjS0EEgbqX0bqL-4aQbqjZS7xBaGx_pFypnYu0NZ9IPkRhXMFe0CWiTFjha9Bp1C0XEn3TBpp27i4GdgcLIqH6RDQXA5nZZoq187gbTCvgR7S8lpgjAITQCbxMg-VA4fMECQzkWTsPSdripYCYPugsGAQHHOIQMGucBcHiUTAqvgFrh3Isef1Iki-o7gKOnFirSWSLRmcLLozOvJGPCDPUfkgCQCPKzRDUKlpNvwoNXRujtIgTkZViWvRZW0s0nAuCMque9lLdRkgXv5VN1egxrXlocCDnz5T1247h3g1JOZuTxGyuNEoS1xgFxOS5YrlzjSGPzJ0jhWMbjntIsdUC8qtazVmae0O2n3UvbpGWIFxbdZxSDqA1wbIBm90yrKsyoC4gSTNle2tUYYcbEzm-EV2ogwAAYz4UZpRpcLGfAKl1E-opBzZGTa4SaMJbIcC0k2URxJAd4Vn6SrUqgDZcCZUaK-kWb42UwRO4g2-yyFa46jt54QMRlxmdkFGEAQD5QWpOc0SDnlagoCS6TuNk0BtZouLuwB5Ui60Mqw1xMycCFqzpGljnueCRsO7CSsW9PSoC4kkt97rTztgcAwtBggzKBqdQ1SCRbJgI1IqDrEkyCMkIyVrS4aRMbnkLXxsXu9IE2O-MrLe9M1QmCQO4C4RPyZnt1U40kuic7KZ9dJylYdJLYBg8QudwxJ7Sci43Ky3EDOqG5K00V3bYxH5QOwxCC9EmZkH3_lBcltyTpPhZYpWmwIMndWLITSQ4BUxQfTBxOyIqG2EAx5Ro2BIH1LNqaJiTpF_dZ1N0SS1sDPstLCPdqPm2MqNJ1CdZkg4tsgDrF0wTFgpQh1EGbHgKImHhwIvMboqjTaCL8LNDk6CAYJ8iwTKgCqDN54TKn9nbU1kSPCm4gOcGzczElWasBlYlw03aRey6NC2q2JIjwpoAfqG48LOgtfpNj2hTP2mKF-oiPqKqq0joNsyrgtSqy8zZTExVrxYAyJVkMFzC-CbjchaqmZAnPiVkXpnUQDAvHwrBtpvNQEEN7bLUiUj7OIgtSeq5jo3B91mjRTOufAWhenVBBEwDYJ4KgEEAm0Y5V3We1qLtNQSB9lfDtpNZoJB-wTSJOcNcRq5kLOtDqDIMgESZhQFxH7TJPhZtSokCCSRwsNQNWiBN7lGotBJBLYHCl8aM8DAsuehA7SdQMxZakFmP1tMGCBwsi3qDS0kguG-lDNMHObUxc7hDxRtSTqM2Rpra8aRJgi48qxq1X1IaGncSbJZqwaNQ1Kg2HgrLNen05B1N3NxIuss6LqsRYkXGFMWUKs6iecLKsLiNUATyhKf1AZAOFY3Cve0OMmR5WmkRVl0Ni-6z2yq10HuvOYWfxZxWlVaR3TnCYeCXCxExNyeUka1em_U1zY-xyt4sXBAkWmMrnVFtUOgT2wsYLMqXt7JgDmmbOHMymAOAaGOEmcoIucGkNIkDxhApcB53utdAPwdzGVpPqLoAabdwUVKo7aSQjNTbVIkzDcZV9TU6j4cYFzYluflXFZ6kAEEAHfcodmFSwAxHKpFJDiCDBPnKvi07a01CDkGLJrO4sKgEA8ZKLKs1xcwDDo3VaK1xYbkzhBVhPB-Sg00SH4t-EFGWcDqIhMDsc4iTfwmE9XY-WYvt_wAqYJ1ZjUYkYt91RwqkhxkAbQrgalUt9WoDMp0HFYwHfYqCnqajJged1qfoLWaC0mJFlMGJ0F5aCRGZ4WbANcxMgDjdZwB1UkixHjwtwcHwQA4Ai-UDmqL6riUXTs6kB0RvJKJrdTrh7G6rzsiajVeC7x5slVnqOtYEmb-Ez6Jl5JjHulwJgHU75thZwVpn-LEpgsyqeSJ3Vxvz0pqWOB_8VKkm3owqaRYSd9Kzi4YmWSCTJ3UxKXVAmDDrTKuMkdpbpk42aq6TRpOdAgA5mCmFMagNp0nymMW70Vri1wh3aDMJeyLAmzifupi-9nbUi8cWi5WLO1vqofIBti8FZah21AWWFhfGFLBahUiTYg85VxWpz9QED3WMF6TiQASNK1G4FRsOJStM4AdaYA4ysDTRJaLxpkXU1Nzp2t0i8ifuoqgeZOq22ZUGim8-nBAgHEoLawYtG6lDmpqIBMcrI4EzG-yLoNdBIkIi1OoY4jeFnOxupbTJ_wC4JeqsaSWuDYz4KttUzX6mn25SQc197kRzCxYNTHAAZ7uE7ooIDG295WvxDPrgCBgxMj-FOxNry4Ek2stdBi-DfGb_AIWhNzwf5lY9upRY8tGkCVo1Eklzp5wp_wC0qTqrWgxaVnuok6toFiCZg8rWXBGpUMjnyp-Mnow_qNF9am4S5wcLRypz432Dyei_TW9a4sdUFF7D-5c8t9Gn9a_ovq_0bo29e-t09ShEn03Xv4VvHlO_h6-RfRe5swXAGJAmFOz8SemTDo0-63hioq6GDAdC1IZjK92oHUfFgVgEMzpEQIuYlWeijYeJIbIthatH5CYQyHMEEiV939fH2BS6jTMzGYhbxmlqvs06pcT91YeC06dIxG52RRoj09UkGThTcY1QVGtk3JGyZrcPqJs0Q07BT-kqstJjU4Quk8QNbiSQQTyVpNWD3EtJcJA2RBeNIDjJ3uogh8M0CxKoZznNGkCXWRvTuYAxxMBpwJViWuEAw4TA58ImfDa9TAG4NrbJVl1wMuEmw5OVFB9UvEls6cFE1i6gl0jtAnAyppqL2FzpnxcIpvQOqdhc-yJTsggmQCdjwqyswgaSbcCFYEcHt3i_3VDGpAvcYaAsDm02u2wgV8tcYMDgoOpu7CbWVKoyqCRvdMJYNal_l2ObSVcVlrTJBFohVCNYDBm_hTRKpTBc45gnVsqsUp1SAQTA2ss5rfpe4yZnyExnoQ_um4OcoizXGzidRPi6n-ILiWuBEQbmN1rjdVanVDrOkxeyXo6Ue0E3MA8qaL0wMkhxjCer0c1RrIAuLFaZTdTh7zlwRqM5oPaS4fKJ2FJri4THsobWwNA7b-4TDv8AaFZ02bg7rMZus7gNIO4stMWf-mIEgPAFy28KpxuVDrHF1HMR_wDzLna7S68kOmckjZRuNPT1S1gMuG1lGmphLQYn_lanjnW7pySwd0k_VK1jLWxva2CROSoDIa0m5Bx5RevpXONxpsDPlDr4XRJLdsohHsvcQYzCCLm6he0fhSzV1N9I6YOOVjlAobvpsFGaLWbxvMoT0a7C5roMpK6x4vVHStq855kdwMHEIqJcRjG8oGY4ze3lSkOagdaTlTGji8H4utQFwIYJEytBWOByCEBcBtfdVLXSIIG4ys-pPQDtQg2i5jdKtZK1QktAsAcrjXbiehOkSAb5UkarV3AghsIjTTPaJJ5hBTUao1aYGBCyK0e-5ttAKLGppDiJBsitgubmBmET8k-oaS6Q0CLRyjneTMaWtxJdB4JsEWcnCo0SJuTyo3KvRgNETEXnErHaqMjB3VHVnftEARutDHXJc7SCCAMLGYa8-qwzE_ELIWzQTcWQVpEzrEyD90GvRd-mAXRnCZovRb2ExN4sg30WhrgJuBvuguDeQYPC1Goox2jQ0AlpO2VSn06OBxKz8ZOx0tiZJ3UDtfDSDIINt0FmO0hodAgyY4WaAamljjcDhaiEs9g0meQsopReGkj6o8IsX9QgiIAIMqYpwWh_Yb7nZU7PL4BBEE8oROq_6tM6kVhrVw6ZyQBBMLDUZiNQcTFkdJemSqdbiQSAOAhsZK7IaIm-5KNJtBabG4WLYjX0z_UkFwE4PCQ5ePSpaQw2Ek_-Fa9cs0dBGrEAcJhmE1nQ0CRJ3VbnL9tTeo1NDYOnlqLqdRwMhswLGUan_qaaMFjmggtnCnjhZitVp0RcCMo3K82sC4SR7Ku2sxbIjYbrPJKg0O1kHM3QjVTeGC8ylsqmJEEN1A5WIEe4tqFwmHZWsw0WkNiGlNwc9xAgHBmUGQkh5DryeFhgQwEwAT7WhanUXHNAcY_0mJhZXGhxDmw69onhWmsFRpLjJkHEbrBCBklpMiVNVXV2CM6sKrg0iYmbeVdRqYABAAIPha0ATq1Gb2kLQ5jdT3SRYDuapRdjiXEEiSmDb0oaS0ntOJlIxy_p6NM9kCA2yuxi8f7XY5xcQSLYgKsmMkx-EiaqYLtXnZN_Sn1F15Em-k8qMBUcG-_goJuA3zvCDPVGcf7KfW-Nxir6Wvi_lY5R0nKVN2kBxgkjPssN6xOZpdcSc5Wm4HrX5990UAHU7xIPClF6boGxnlZRUgns3iCVYrmvNK4iBa60DIeYAjyiCIaZvJ3KlYq-uGzBPuVll2sxGmxCM11MQBBPtyhxqht-72U12l1MzTEEzf8Abda1ojnAmDAHMKIkYeYmR7IpnQASTpPCURAgB-SNgFgWGodzsDygSoLzGrAstQK4SYAiLqVKYPgDkmVhkj3S4AugFAWulpMmxXTGoNareQY9yFm4UWEl0m6z8ZWtmUa07QZEY8K6apTn1BJ2yukVVna7USb4koyuyqIgtFvKNKF8GBmMrI7X3CwjcLUFGPj6rH3U0a6BAaBN_wCVrcFXMJ4J2laCEFpNvEeVjwWpG5MWOxWoNDYER83SooaumW5M2grKLMIsACBC1phmmSC4WNoUpDa9MSQDxOFmNFdVgTqEzOEzAodq7hlAzqhp2dlc7FjOKrmVZImdlMVrD9QFjJPulbKRMEGSORCxLgaCWlwA9goHpu0OnYqxKoHQJNyUqaoKkRiPuo0s3VTMntAxCLGqm9oDZ7xkkZKjcF1YXDZAmwIwtdSLhqVYFwtqjaLrJOno0apmbfb7rLNUkuImIRINSodM_hQ1ieXB0QBOyy1PC1Hab6QT5VTe3PcY0mNPhXGk40C0TvurYuOFbYTPJWNgox-qJhGasx_sSFcWYq2qQXaQOVC1Z1S4MBqtn6FWEm_FyIysNa0NcAJnUCIkbKeqf1e0AD2kpgnWcIkAC6YM_qEAQJHEbqhCdYhwuDKAGI0gwVcEHHS0ybJgiXAmNV8FPHPeyPqAgaRCl6PpXVAGkm-0KtIt0OBJBLp_cpOujSvs6xF9hhaKoKh0jHElJ4O9TUZkEAXsmFgtqXDW4HKYzjXTqmCZGkW9ltZbnZ3HSNr7LXrfqzK25B8XspGDh41TkqX1Lvxem4aAZE8lXprenCrce8W2UUzXwQTtjZX4lM6oTefqWYbJ0UuM6pGcq7iresyNOE3VJ6ncYBkYWoLUagAvIEpPWaZzwSZwBIJCprPUYbnAUrSViQJggLI7UBTmSSDuFcEx2zaCoOa86RP5Kf4HiADJvBhBppVQ1hIzNwgL6uoQDEmVcE3QSb2KghWcQe4eyeBG2AkkxvKC1OQ1pMXtdA8HSceyzSempEObiQMiVNWOdUbMtMDhN1qVWnUDWSCBtEIWldUi5IiMQtFrO54BsbcqdLvRqbpsSCUlczhwdIJmSqH_AHCRKmN7PFLkNcJIdtOFdPyjmOD3EGxF4Cxf2sqhcC0XzmeFfVUbV0nIEWJhYsP9a6FTU0jJiZjKz2deHDjLRE7wpRoY8gGDjhZXQrVHPu7MWRdqNN5JgiLcrJ-VjQKmtoN_eUnpL-RmOOB8LONaPq45nnKqb2sKgMGcpavarHHVYmbXOFhVSZBJNwd0-Krr0AEuO-N1kK4iZDTIFwVRfp4DgXdwOx3KMy7cbaT47QcqNLBxaQBYeynxpSi-HOCmijHBwg2POyXRcOIIN4z7K4yo18A3xfuVa0jjrBJIsp9AbUvE4wroZ79hayJqQePp5OURxcZjVICLpS4Hwp4zUi6G_wCwRJWWq8NdYzO_C0uxM1i4mTYbeVJDr45zm1C2HRG5RXgdZ1T_APGPDSGuByFx52UIf1rqdVM1qj6tJpu17lnv4eva_qv9X_pJ_wDS1A_pvRel-uPdL6jXGw3kYXaz-PNk7Z_9T_PatdzhdzS07hRe3f4gXbnyFv1uLGmCwEXFt1zsYANgESCdUwP91MVJ7muII1Cy6ydOfL1-RKRbAwGttBX3cj5OhXYWwWna1lqDOQ8ugftyFNMMHnUGl0DfynqVegJY5o-obndZxjFWyLR3xxZXxuRVpJgNMmMlXq-FUe6X2IBj7ptjnXDS22mT7LpO0VayYM22Wby1NMSQ1wm3lWXWnU3d4OqRH4Woze1tOpuqQSMkG6iyUILQQBPhVoXNDm6jAc3YqkIxpa4txaSeUqY6A5v1SRuotTe5pEA-cqXxGR9TU10dvkrM4_tEmvdq7QS4_uOF0XVxJaCXA-FAabo2tghRGgQ6AHW44WoJ1chrZAypRzQ4N1G6fAQAXSAflQJWb3G1zbCCrO4NBaDFlRwDWOsdIxe8LS1VzSWAE921kRnrUxMuIkGPdFvSLtAeYbeRupUnKUlZpGBIOSMql9xLgG87I1qlNsNcTYE4OQhXQJ06rbQiXw7Dd0ix-FMSL6NQLZ-eEiqNYAMGBkylpn6Oao0kZ8FRYUPAqA4jbhEaS8vLYMjeFqQpxSdUcZdpGZ8IjqgJaJdPkDCuKl6TWuk2vkrNiYq1oINgLzMwgV1J5AgzvB2UixOs1pY3Aj-VpLHndQ3RXLncWXO3HPGXrnRSzpbuFznrtjyHPcxzf7rW70Voouf7mZ0qrr0mEOJJcD44U-s6vQbJsLLpajfRDnUoIkDB4UWASKbrQTuQpLqFZqeC2bTkqhg2CQQBIsQgSoWzH5QQLm6uTNoQdUkgSc7cJmql9DrajzCZA7GxcWHBTIjqrwWubv8Ays2R0njw-sYQSCZAvCmwryuomRlEiRE4m_lVtWlTaWaTYZWGoBA__RlXRaiMTgqChaA0SRvCv0QeAHWE8rpADVJEgHiFkwmskRiVo8Js4gwBmVztP8BsOcDOc3x5UnaXrpYENLd43G6mx1krUyoyqybSstNIpgAgNkHZAWugkfSIwhFqFNjBAgeSpjTS0dpIILvCuOVvxam99WQ4zpsSEc60EhzZLpgbZUw1gq6XOmzvMKeKkWObpAg6jsjpxaem1XaDDZUdGsU5YQTEeFMEajQe4kOAskEave10NLRKzUrLVYM_ZZVlqMdrmbEJgrSOgN7gOQd0GkQ-Ii38INFEtaYBIB2RG5lOGnjYJrSjXZG_k5RFAy7b-3hNM-qB0wCdZ2lCD6pYdJu3cJg0Mk3JibRCyFe5rSAL3zKAPII1glvC0zWdlXSXGPeN0SNVPUSHYBuFl0VLgam45RF2R6YiwOSgrTEVBkyg7qKA02sCJUo8yrSOuDDoMWWW54k5gDgRgo6ybGWoyBjUJFhupXO9MhcHOsJAvBVdN1N4c7VC52Dumkv7SQTmd1YxyetTrtLRfFoC1GIpWaXMDQ7MKt3xOnUbq7r-ESNbaUt1HmBOUaITLnFwgBF4dmpkHUGm2Z5QvrQ2oAwtLpdGSjNrD1DCG6YIm5hNdJUNRECY5astMtVxJBmzeFEq1I9rXu7oEhoUqrMAkETO88qAF4aCLNHC2JSQ4BpBj9qJqtJ2qdIIBCGs1X64FzklY8SjTcXt9gterCwabjtBWcxWrUDTgFQYNJa6ALzfgrnUz67QDJ34KTl8U0t0gix4Wl01OkGkk3G4RF2tDbiw4VlAc70p3at7oALg0hpIHBCotLdZLjLvCXtNbelcKhaCABErKWt7DD51Axey30zWlg9UyTY4KjirUZ6dMCC48g2Wo1IoxusO7ADOEsLBb2vaYDjvBUFH0w9pvL-FGGctNMEWEXhG0asuM4JypTLGaq1rpGm5zdYx049szjDSBMnJWcbxkqhzngNGkTdVqVF-kEGL-UaUcRABInNkD0mSNR_dwgsDpGk87oBp1YEzwiGDdDhMiNxZAXva92AQpDBpEaZN5FvCViqGRJF5jKyxZrqbi6XAwMRwiyGL5a4cWR1zEnvBAEw3ZFLNjEygDi4mRICAPLnC0XsJzCDqb2h30wQsWBnuBHcQVM2s1M1CGmD7ELWVCh2lzjsVM_a4YuALd5ypYuEaHTMmOEifRc2xIMtGThajRXOBaZBWb6zV2zZxcCSs-oo2JmYESrlDCtpu2Li6si4rScSwQLxlb8U5dDbkSm6HpVGkQbgKqq57Wh0iQgZjy8gTYKeJWlgLQHWKiq0ngPDYM8rQqyoZvmd1tlqDW1BMagRfwjRYLDIdHgBEM09xyALCFNSNIs4WyMlMaWpn02wO07SqlWIdTaLGTxss4ySq3Y2TFTddt5LTYDEKLpKX1A6t4RVSBDhBIPK50I1skWxyo3FGmAO0kYyjQuAcdBknKxmBmdsuJgYgZUkDuN5kmPwlYUb2kGYJzCiVVr7EO9ohG54q2zhvG-yLqjDN5jgIum1mMmco1K4Eh40kXCsXXp9HV9Fg1TPCliVqLy5v1EE3Ii6wwiaknkQoBu0kTnZGpqVeCQ4H43UIztcQ6RJVjoJb2tIuTeSrS0WM0wT91hj1XP0uJzgWQ8MMSeAJCmoIqW1SWuxlVqKMrOdeJMQL7LbcWY86QHHC54l7aaVaW-2xsrIvq-sdurfbcJikqVA_tERwmM9p6RYxGyn1pCpDajpnwQqyk8zzpFlV0PrZcXGSp0ms7gTJnwPKM_ULghurOUNEmWAWibSp4fUnEN1Wg8q59Upqam4BBCK6bDUJH9lrpZRYYcDtKznaKScNjzBVztK0UyWEO0-LlXxNxdrw42nJurKacNDTckgJ6sphUvJi3KJqjHzbM2M_hbRQC4GTFx5WNa0e8kGJcTklahqmouYZJLuRgKVr1EPGq5HuAoxTMfMBxgKancMH8j5VjcuqNqjRDTMlbaOKtwTJHmysTD6vVZMaWjM7qKhVBDpA0hBMmwk-Qswc7S65Mi2FfU8RfdzoBvsd7rKnZJnUZOy0KsfBAImPyqKGoHDtMXuEAbLZmDaZKwJvcC0yMXTBMul0kyMqaKsJcCNVs4SguNwRYOwspStLTOkxNzKGkD9RhrtJjJwmLrRQdDjqNuVQasGRxus6eszyHEY0gZJyqgsbptJjKEqhMwAInMlG5FNYBAEeyaligeCTIHsEQWzGoRGIOUVZpkSP25WFM1wkAkSeBdVb41dNZ50zAGFgni2ofBysNSqNcQZG2VRz3hwgTB3F1ApZeRt4TFO0wJJj-VMSAagte-rdMDtIcZG3CgfUQ4cbhZrrPGqme0mZAwOVM1Vg6YJMtFoCYOLrgXuiC0EREja-6mM-tNF37XTmxKlakxtpAWdtBiE9XVmuJdaR7lZ5CrHAjNgYskmGnbUgzIHupe1q9N40haRz3F-SSBsiwjXyD-SinawNbx7lYm6yLqgMdw3ytp4k4E5Pvb7Isri9oH_y8JDUqjzqsLA_dMS_tOpUOqSdKeOdusNWqC-B-UzWeyNcx7nS7TG8q_43KvT_AFfpP06i41mGtWI7QN-FZykna7r5ipU9bqnVS0jWZvsvN9bT_U6lKpTDGCTFyFq39DyeqbqY4saNpJ3Tb9TGRp0OMAxvCWpJkVFLRBMeYTVlOCWhoNgVu1dULQwC8AnEZWZU_Jlq12h50mFrCzX5Hp02-nLuIX3n9PkHajr0gwB_K38WI6_84Et3MXXNQru9V7YBnlbjFWpiPP8Aq8LSKsq6nQInlZstVWC7eI4VkxnTi_cBHiLq59Sx0nVedVr7K5UNrOOChioaSbGPJCzxMHTpbA7vhbIam-DGkSBz_KqxVsAH2tOSopHvGoiL5RHPkNDi2TI-FVJUcWnEAmRGCjLzw9wcC4wOER2ghxAGrcgqghvpwWnjJVU7ngVYI1NH4UqbF6VHW4GJHMrIcUwI0kQMwtQS0kg6dQ9koq27ALQBeFA1It0ybQoEqtABcXdu8LUCAjSAXEO2hVVW94HaCZiEUahcZEHgELPjKdSmABk-6aXxEM7ydoTXPj0V4cKYi2kGVp1RGrXdskiURdtMNZOAclBPtHB_CCsmIAt91NKq1vYSDfYKw_8AkS91p_G6UnTp9S95wVnQ7hLSQJOMoOFbQ2w3GMFaNaWVANDhhuUU1RzTqJkSJzlF8cA3QHHeCAbqoPrAgCxGQlgq8FzbX5G6weJOptP1dwbhXUYOtpy4k4GPCxZq48f9SqFvTuBnKjWvJBDnAn6YzKYzjbTYDgmUbbKDYiR27kIxW6g_W7eJsSto2seDZxkyooVO2XQAOIRmDw4WJGQikqk-pIwMAoJuEiQTfKAEaSOPyEUahAibwjSXparBwAPCusu0x22J5QRqODQTp-xUrUeR1VWQTczYzkLmPKqGXwTbkKtSFLQIl3xwprWODtNgbwrJqix14N5TBT1C0YPgK5QzTqMF07rPgFXtW5dGdz4aRv8A2SiJrFsGJjyuVtWdlDoJDYncErna65hXdU0AtF_ICTYdAzq3yJ7VnRt6V5fMmAPyty6PToVXemb3mPcKo2U2FxBaB8orVT6fQ0xBHKn1DMBaCRmPZVyvqogMdBBdbGyFO0S06DuJ5RhE0RBMkgnEbqNREu_ZBDtvCmO_FZg_ym20uOFitLsa4QDed1qDq7J2kYMWUswYqznNbpBsUiVBpkmcArNxPIPptJCyaV9Ai4AdGFTVKUxs3lWLGhru7wmK00iXAzEKdRmrtiAA0CFNjUUu9kNMxlA8y0GdIG6kDNYXAQLly1_Qu2pJLpGqYlZs7U4a2qIEG8EqYhKjWBpFyYAE-6RLNSgDSADO0bq6k440USQRqALuDwo0tqAeQJ0zNsIrRTA-nVIOyIs3Sye4e2UPAkibTJwbws0YKx0uNgCduVG4xOlxOoQAN0dZ4zV-1va6N7I1jC46apIBAdjwVKxJiWtwfJBJ8KYrVQbpAJbpIUws1em5rTNiVqMWY2Nrl7MZufCqag1oqVfhEbaXUOpN0ukcWT1dQqVw4kC5Gxypi-L9MJBsCdWEZ3tYtiCAL5lTWdZeoeQ7UTqG4R1434zNf28OAOyn10rMDf6iDuiKB4pzffhTNWtFJxM8KKQtdq1EAzaCtJS-lIkAe4KGCJntOnwristT6nAEgn7KWJVaEemdRlFJUIc42uoKNcfTAAgDhSiNYwY4v7rnQA8Ox-FjMoWe88jc7rcFKbpECRfCosCbzf2WoBoDiZALtvK1B1N2oQSZGxUvotRa0zA7uFobumYKZbJtwVImxqYQYDbSblVi2N1Nwb9QhuEcVS6Y_bHK23FB2s0zBdkBGjgBoBJvIJIUrFF1QgBwIkLLLqjg4SWwQIPlWEY61MzYlozdMW1mqUwBNp5WHTjWOqZdgyldNZHte07meVg4gQ6JdYfyjoDgAeSLSgZj3NgAWKCp7jP1KUNqLPI4TUqZrxN9Q4JVSC1jiQZtwiqgyCSII2lSsVQ1Jde0cLKYm1-h4zB_KrcmOmXAk25CjTnub3EHbMIFp1TIveNkDOcY7R2_yg5kDYgoFqbwYP8AKCTXOcZk2tMK4A1xk20xzuoOJixuCpsHEgNE2Oy1QwLri8xusYGc-YiJjmygVjZdLjJj2U5M1YCJEgjlIR15MkxCH1VjTAm4GyiNFIhl9icLfxoPUBO0xusy4hqVMtgknSTtut6urOu3tNiFVPTa6Jafed0sGgOMEyBAkKYGDtN9V52VFdUS6QRypqNDOpHbpM8rURoNQOGoRE4TWk54kN8cLTNaqcTqJJ2zhEXabgZA3KlK0vq9mkGApE_tNot9NzyVa0SoNc3AUxcSEB42iyzVc_DRMu91itFlzBM3deAoD_iS1zgQb_ZTxYrIeJEiTObKW600AamwMeVPOkrmg6TqMOU-sRVr9TgLWGVb2UHhwPasYkaaIDaYAcTB3yq6xU1CHgNxlAZLhmLXsi-Op1JMREbndF3W2lVzrmAbEIYoa0OdckkxnCjWGDyXQRDeQssKl8iRtwosSqEANy0xMrVakZwS76iIFxwsR0D1A2BafwmudM1zmtEgZUZWmwgAA7yqVIPc1o7hcqRc07XXG44RcVi5DT98rZpm1dOQNPHPysGtNMatRDgNluOi7XgkhsA_ys_6yDiQAQ3fZYX0usamiBB3lFIPpGrOZV1lJwBguN_CdxKi8th0G8wI3TLO2SFzi4gbHKuajNVfpiOPtdMUtN3dLnFxOFfQ7gCDMEBaxYzVBDQcePCzii2pOWmScqEo4aIs3ytqdtWXWAgFGfrT6skAiAiK0XkND_BEIac1iCJIJKjODJqGbWEJqy40NGkRkha1rejscWi9p3TGTOJBgOxtCY1jpOkAGBCn9JKkRpbMbQDyq0d7wTm4UwWEwJPcTYgK4uA6BIvqCrQ6y0A3N_snTFczqC20yDbTstmi986S4ypRDI-uJuLLm27cCCQdwtMg4dxsLYkqk6DUBckRtdEMH3kE5-EGhsDFzid5RsSXNnTa2FBF5nmeVkI1kQYAg4QUNTBDpug4nW7tA59kE3ktm8qYmFY9wNuFVXp1ZNwJi4hZo59QF8SDvlXAhdqMahI5KYONVpi8nwoBSqiWgmxMBXBYmCDBA8LOHZxJMukA4lNRR9iLQfdT6aYSJMb7HCtXRpkm5k8OWKr0aUAi3dCxmlM59j9LhhSTsirKsNk4_wC1XHRzqgIJEgi9kZxE1iBf4kqND6mqLwUDsPH8IqlOoWSReUwUNS2oEkELLM6aKbu3J1cFYdJTtk6p_Cmn5GFQAHM2schSzWd1SkS5ufytY3GiidMAklZqt9MgNMD8KKc1YaCM4iFBVlZ0AmTsRsET5VGuDwQSMyiiHy6wnwCmoqHyMWAvdFhZGqSZA_KNVQP1ixEcoyIgiQ3dVE6z3ECMHfdBOCTeP9iobpXOsAACQN0Z5MtapII-JlHNnI1XgGFNUsCXAm5sIWoPF_UQ6hUAAPBErhy9dZ4zeqY7rOOA4WKyrPVdFUEkASDACUJ1PTF0hjXlpyWsJhPynH0x5j2U6Z0apJ4Wp32dnY7vtcDbK3goYdIa2CTucrKUoDnnJaMQdlcxPxTfSANhaFdZ3H49HUF5dpaS4WkYX9Ax8mo5xLCZMu8LO_BM1JeQ4RaLbIsoNa7WImAREraetvT0PUL3SYnblEMQ7U4iIAiVEMx7nx-2Lymoq0hwgG_KsBaQGtJutUUFwO2PIWRdrgO2b-ykqUuvU1wiRsVfyZOdJBaSASfurLotTcL5mN_4VE3NGdycQipvAEwJB_ahus1RxM9sMaiEiA4l0meECafTfIl0bq6oGpLu4YMgJ6KNYWEOAB1ZumH4yNFNxty3lBUuBa60AcBNREVTq-nt3V9BAAcSJEjdZvQqyPTDZBA-oqhKw0AiYGcZQRZR7gSJ9lpYcgtmAQBcovS7Hf5ZANxcLNRGsSSXDHjMqILaJAgglx2lCQjhDXEiDuisoY4PjLP9W62ihZrbYiItCLAYGu91nQzWdxIsN1BoaO3ythDF7eyzqOYS1wkW3JKBy8F5ED4KCbyBJcIAGFoMyoPTaAAJuUWKEnUO-y0HJBbwRggySosL6wZABl0IU9PqSQ6bOjIF1msiysQS0ybZJWVjL1xLqMzYZE5UtuNPD6yr_wDsjjpkg5K5yduf15lB0h0iN_hdHRto1BsdrJg3UnFrW6vq4IWPrFehRdbEkLr8aam6ZPGJUTHVOGn4REw84AsqOEvdJ2UCn6DEzwUEy-HERYoFLtY8bIqk6ABMFKvoONybBVWHreo02EXys1rHkdSQfaVBgqkDVNyTaFmtRJ2LXBTxStEjtIgbrUotNytgt0nNifKxbgcu0tsfpEKy72Ec0kAzPuVRAyHXEWWeRWXqNUyCeM2XGk6TOoxcuBtIXLlXSXSB0VCCRB3U3WnOMuBbhZGvoqkAyfhalwex0tTU4ccrrLrnXoU6hpkRcEYhaSVpZ1EugNEYKi6qXNEEAwB90ZFhBDobm2UFXA3MzcRt8qpiop6mwcHJ4RWLqWBhGkzO5Wa3-QUnOD2wJBxOyx_rpK2sbpc1pGRndXpQq3IaXmJwBkIYzOGqwZubLH1KzBsEkf8ACX1Clw1CDB3UMWZTJJtIyCCrGsUc0UmTIAOxCVaq0-oGi0HgKhxYNuWweExMWY_QwSN7rGC1N3rPgYGwTIKxqkAX9rhAxfFok-d1tT0nNdDQS7JsIjws1NUpuyfpMXveFA74gCAScHdCsz3GXDR34BTNY_KqNOq8gAZthZbjTSAkyRZBpYQLhvff7IDTp-qTDZcL5QpzTLQMW8rAydRTBdqcL-8o3Hn1bhwI1FxkN8I6_GJ7S5vbgHdBleDqEjSQcyikI7nFt_lFxopwQXSSQEQ2jQ_OTKlc-bYwSzsieSVWY5rCKoBs6MotkbA4PYRkAxJVxqTUalMGSBDY2Wazy6Vo1YaJbt-U9ZxoDNRn6QL5TFxl6p4DyNI1Qo3JjznvEXz4U8b1Fj5BB3QWYwA2NzgEWKLKv6rmNmO0bHlVSVCS3VcHe6k_QLXkOtqPAVB16HFkC_3WhCtTLXEji4UoLHgaRm2DaVihKmoVTKgNOoAZvewUC1XamxYTYQsUSIAaRNxaQshQSHcrYpTlxAEtRY0B3cGiZF1paJJYMWF5WsZcHNlxwTslmi1IDWDEAbhXBqpVCJIgtPKkSxsaXNAMCBfCrhya2k1GtDTMi4VZjQ1ulo1kjhaaNGqCCfBI3RfRg6gII1njCl7LD6SWEZ97FZY7I4XF-03uUQru6TqmbWxCutsdWiXTpbI8FQiFWm5jY035WXb4x1hOmDeMLDXGJBktmYI5KNlI0kuIk8IKAhzBEDwg6LtvnYKVFHDS6DeVlUnwDhWBmuOkSJ8nC0HpCQS3T8qVkz22AsL7LBYmQ5riDYiwutwgU3aXESTtBStGI1ASYOFkKDBxdBVp1NIAxtKAinqaM3-6BKsggOEgYKal6JowCPOVJTU6sfUfyFjdZcNTwODwtyKJfvmDuq0PqabxdAocBJnO0JRzXlr5A1RsVjGaq2tNyL4CyirSIYJJcbcFBWjqiS22JNyrJvaxdp7RwCt1aLhYObGcrnQwc15mBfAC1xSNDB29psBsttC2Z0x-FRRrLEYkbnCgs1w0AygcjUJgHhIC2mWku8YQVa6AGg54RGhhmBiPKH9rtJc6x8wtDSwlogCU9Yp51NJuB5KuLgB7gImQMcosTe0GbauE1QLgWEwGrChYtwQRfMys8vFgVHgEA2jAWFIBkQfJUoswEYwN-FMbaaJ9QuI_2VwUqthoNwVjxgrXdsxHtupqUT9Q0m5ACsJ610wSRfSd5Uroe4E54Rkgqktj6Z2UWXXNIvfSeVo8aWPIaXXzuka07iAAWxJ3O5Uvqq9NUsRzkQpg0SXUiG52I3UzDxKrVZz7W8KbrcS9RojgpmLa4yASeYxhZYMXDE3C3-JDF8WIMRgKWLRnUO0mwHspiQYhwcG6idlFjvVMx9V5lXxmiKgEHJlQaqFUhoBMO4WnWL-qdLtMTxgBSpaU9R3bWsRyVMRwqAXwCMcKY1rm1AWiLwk6NSrPNgAXQqzWeXj9gIUZLUGlrr3G6vxPrOTqFrmFGvHAjbK1F9M5j2jPkmF0EC4Oc4xA3HPlZqWpzD7WLvK5pqjGmxF9oVNGiQbReeE3EXLdZJEYwFuVV2NIYIMLNZ-ma2RBb8qrmq0iWunIwbIljQw_6slGs-qkwyP5W1t0rqp0tEqd0-A92iO6R_phSRIBGqDAaCc5Vp6BA1Ai58JF07axaC0_JVHF4mCZtuopBVMkCW75RVWGWtgEne6qODru2ETdL8ZsJ6ukiMReVKt2QofAvJAWbU05qBsYjaQpqak-XusC2FrU0Nc-NvCa6NlF7pLSIafur6HI1XggcKVtAgkkytMjrkXmbSQjRS5urU0WG-5WKA4yBJMk7ozrn1NRiYkcI0iXwN3QYxhGbcV9aWxHseUajmuETF8ZQB5AEwTOVN0RgvcSNrgIKgkuGDzIV3RZhAAl0TZSg6gTEk7ZVzQzST3CZ8pgq15kSpgvT7dMCfnCznRuNtJwA7XaTO2y56s7OHltQz3cq4uOe-bgAymLtKahIcSZHlZqW0NQc_TYjwiqBhyDHiULQ_xE2I3jKx2n5K0iHNBvA3BU3GpTNOlxwRtKhu1emZEzgXUqq03ReNQNjKyGPaIFyNo2RVqBLBsBI3Q1qYTIME91iTspg0UngtMH5FlWtaKb-0gd3lZZvIaRdqImNyErUsqwqhoAADi4ovZy4zq_lZa07aoOnc7qkVJDhIMfGULTAtLt7ZsjN2eENUgCRYWF1r1YQgOMwWjhBKrUGpwkiNgss3lEHdQ5hAd9WEYt1JzwbNN3XhPRLX6bzJkbgqXoZeo6htMQ4Z-kgLFtiyPF6zq3MdBIMk3IWPXVFlQvvmBcnb2WuM6TcQfVmtLxAAj3Wb70Pv8A-lv-qjf6Z_pzrP0136dT6itVa5rHlrYE73XbjznDjZZtSza_zA03VH__APQySNlmea0o1hZH7Yx5U0c0S8k4G82U0VcPTpkmXAiQAt_Etx5dapUqvkVHNHDbqyOXr8juqQJscSBkr76ePlHUnFxg7lT8VUrU3CkJbLwcg7KoWhqE-bXU1nW3p6rWNLe4AXN7ppoObpBcyZIzlRBaQ2S4wTsFPWLT6RoDgYnK1LjUqlNjmls3be8ytW9NRpaLwRJFxCxrTpaASb7tVnjNVDHPLTbCzWcc4-1t1vgHLrm_bsrvaaRrgW3JaJytrHVC6A3S0CLXyhPGaozW11wDOEECzQR3xvBCIZ7u0QSPOUajhSaWbWMkAqKZ2oOiAGxIVSqNYLRYHJJRlQGAALt8bqJLpABOkEgTcyqp2PDDYk7QVKGhzSQAIPK2qNRpgyZQrhWOoA_SLEhEM6oS4tixCnY1Uw30r458qKz1GEuBy4mbYUQ8nVmZJ-FqKlWEOBnt8qDM-xnnZaQzSSQJFrIqlOA2LncghTE8K10vFoAN1Km6u907_ARdsQdpDQdZjOPwg5gBeZJjOUinaZYYAEHMIIucf3R9loxwJa02BccXRcMwljyX84RlZontBk7EKaI1RYkHG-0poRtSBLnfZF6UYWuktJkjJWVjP1byaDsAKWq8fqK2qhont3WJ6xPWADuBuR4Wm2ymXFoMQJWqPSo3F7u91jNZbenqHV2kTNrLU8anjW14pgg3EjOyUc3U8mHB11pmg7IbI3ws78RP03QqBV7WmbHgKiOklsmRwAcoGB0kwBjCgDp1bieUUryGtkXJ3CW4seT1by5xved1hrXn1qhaTBkhUlYazzqDosi6nTJwbgmRdStSnY6wgQPKfjqqF2psAZ3T8aANQMTbKuaKXcAZBIwD_dWdBCYbj7Kpqb40k29yFyVkrnTfPgrFPWSpUJDdiud9dIoHgC57pyVyrSWs6ogG-xVGltcMERA_lNXHo9C_UZ24BhdON7ZsetT_AMw2JiPaF2cvF2n0nkAifP8AKgrSrFxjUDe_hQb6JLSOwNm0hA7G63guEjBH90VYtLY1GNmgIjI-NRG828qUJTANQl2wtdZrtxaaVRsMAdKVoDLsGyyEY06QCL7qiVem0Eabf7KZ-0rKREG0DlRVunfDtDrypFixdLQ0C82lapTimGbw8XWU3Fendqkgg7HUtt7LDaS1zRmDcLn9ZVa0OcSMeCkqLNZBkG3hA1MFszJHugak3RqMX98KJFQCTqdHFlVVbIZMiR4wspWZ7A4_V3TlXcY9Wa0BsOsTdRrirTIcwQzfe6Rpei4uMmwSjQx4pyLGRYFBR9TW1wa5rXcRZYEXsbpIycoPK6hkjaDjlHSMFSmaggiBmyOrJPYZF4KLEyZAtLxylV1MuLSLbIw0Me1rgXm422Qv-NVjcAAQLDlSM52s0kMBFrmYGVWbFqT_AFJEw3c-UdfiNapqhgJAGIRLNUptAc3uJm43CmLeLU97gBJBJOyoydU4uM7bqWrrz-qpyQWyGrnrGFFP0xfA23KutQ7TqIaJbewC0vjXpkBoE2vOVFTmW5kgRAQJo1EiZJiOFQ7ZZZwsN-EoNdw0Tu6wUEWNaGi8ncrNCvYWPlwjws0TbU0acjyqA4TpJsMhZCzJi0jfYrPIAg0yQYg5WhWC49pNgIgoHYIJOYwroYjU93ByrooGBpLmwBtIW96Fmt1gkgHTmEF6IxkGbBErWx2zyRB2UcOUxspAPg_EqsNOoOBYDBAlGtFjH6mzi8GbBbdDglriTec-EZp_Ua6CR8kSpiMr3y8yLwYgWTDpYEGZ-qBbgLIlUYQwgSZ8qtcGKqyHOEkgbBZrp_TE4mS1wiTIJ2WK3EHuPqFsQAMqNJ0xZpP0jhBRz5uDfkoldSqTBBss1IL3TyffZGiOsMyZSAOIZALvhaFmPLAJgNOB5UoeSRgElZSp1QXAAd0ZVI5rSWxEDzlRRfZpuY5QD9gj-UD09MiZnEhBomBAsPKJUKjDqnEibqXxnuua6QZIAFpOy5iL3nBOo7AKwK0y-5DRK1qg98GR9M2JFlpRa71LxEbIrnOk7CyAEx_pO0bpUPRaBHAMhcmWhoLSBOq-VfRpYNLWiALGCN0l7xqKkhsEkxutVS3d7crNZoggwdRgcK6jVSqi14aBturK1rSwNc2ctn5XSKZoaKg3BUoDgQ6Da9rojTTZNMEwCLpFO7tAn6c2F1LAmq4B1QeFlhppOgCYvgjdDfizGkFpAEzcrQs15a7Tsd1qCwcNR0zYLWyppaj3SIMwFGtJqdqIIhpzGYUpBe8PEDOIWWiU6gDnSYOCdlOQjWcHXc4n4XNYOr90fVghCqMMi51eUajRTqmBBBg7IqxqGqDPdGIUrLg8hptHysQ07BBBIza6lXF2xpgGCNymLVmuGZ24TGcqLTGfujUE_SY-qVYp6ZdIBMz5UGhru7MAC26gek7S-SbeFZ_a91sa6XZFjabSs7qM3UVNZJmwzZZxuJ0jqBEwQDIK3WjlzRTByCccLMDCe020ncLpoOox9RmFzqUs6CGg2hT1B1B2rRPhOwKjrg5jblX-l2Ayo4QLELCNdN7gD9X3Q1b1L5PBVQoMuB28qKJfY6VQrjpc42PCJaD3GJIgoupuqiwEQMqCbnkNF4HhBAGHQdR88IH0gyRnZdOJHPcQQd8Favi1CoT2m1uNyuVZqRuQ7TAKjJi8ywQrqrU36NIIibLPqq0nFtSLHla1ZV9QBsTHjZaQQQ1xkmDeVKlUa4VDk5-6Yi9J8H2O6ufpvVTVkCcAmw3WzCay1xJH2VlNNTa5xki3lUCoYwPkrHJaFOC0wSPI3WongOdEGISm0RA7pguG6zjURAOQYCbifWmhVdAZbN-VVEuBcQbEHK1ETeS9w0iDGFlaGshsEmYn2WbO2MJ6hm4mMrfUUWu0O_ddZsYOzUTE7qZjpGqkwl0xNt1FF8tadjtCJqTn3Jm-CrppWw8SbDYcqrri4kWaLbrLGkc43gz4PKNa7UDaSXNySbBN1dI4gmLg-US0WuBFzcYEYU1qUTLgHAgxexVaAuLp97AJoGrQbWO8qammdUEWIJU1NFjtU93a1BQRMjhVTsdgSVVWYNWotPgXUTY00iGHguHCWFUFSPdc_CNDal5mC7hTWoDngxBEcq6qNR7Q3Oc2hRKWi8yTn2yFCer0-ol0ascoguqDXZ1_ZZyh6fUWHjxhZsFKb9VQGBb-FixqKCpBJntla9bOC89034TNFqTwGjMi9_4WKluNAN5i3CK2UamotBMtB22VK1NknIInPCx9RVpDSR3STmEa6OSWun7-UxZDtlwzI3kKuikmNP02ybrnYAHOjMnjZWxNjU0gtAJOOUjHYNkMF8i6OgEX2jOECFwuTJ2hEtxKoAXH7wErjWRxL38mZsniwKbdbu36jhXNDs6UeuxnU_5Wt0A8rFuXKsen_WX6J0n9P_pvTVh1Da_UVROholX-Tj-GX1rjdf5v1FVtS5MOMmAFy69bdR6ltIFr5MjOyv5J4jJqt5JMWys39k_Yt1OMuAJkhXOjSadDjeTkK_0eFDyZBu4YTMUKcaRqFze-EQahYKJItbG4W0s2PDfqc4n0wfJMLTn1H5RqU4bTfN7fIX3uPlHUxo8klFaDDcSHHB2SgUiPVJJLhFkxMaIJdYkgDdTHOlJ09gBki5Jss1DNeHN_0gbbpEqtM-o5rg7xpjCUjVTfp1Bxlx-y1G4MBpbBvNyreLQkEAOsYEGVJPh9G-oH-FqTPWaq1oc2-Z23U3KyL_qIF-JVk71StEXnGxC2hfUe4wcgWgI1Ew0NJOXRKhU31PUENbBAy5aRm-m1gTgq1DUa3e4D6sFZairn3cQdZ44QoNqOeSHRGxKMrg6WgavshI5ukNJmSTF0AjRVBcSYwByqL62kE31KCT3YzKQTbJJG-YXSirAXRcGDeNlkaaUNEOEybAKL2k8EdumDP1Spg4Q0EluckbrQjVqGHEQQcW3TC6g1ncXlwneEDspuJkWU0cWyIEg7lU9UZTaxpJkG0ibKVMxXTr7o9pWRk6hzmPbIBAOArArBqcCQSAFcUQ8QTgTyq0k9xLXOBF7WQZ2VO8kwSNyiNDahc9s2j4BRlSnVJdpbi-VlcZP1PqG02hoPfORhZpZ0n0_Ul1OCQSRhZ7jUjRSqh2kNJaRnylWxZwljnOl3_amdI-drQG1LkmbBJ2k8ZQ0kwBc8rStjTr-mIO3CVpu6ZmoEu-k4I3SHjfR_aDf2WkrTpJMAeyiH1GA3928BGaZt2yYLT4usX1A9QBsSfC6LiLmkS53yFER1gvbqB8K_FWMTExdZkXEar4kFw8StLjJVrFswBpXPkzXn13a3SbrKMVZpmYA9lY1GR7gRESDuVpqkaNP1CwMiFKsdqOxC22tTBAO6Di6CYwgUHQZMCUwxxgCwM8qamJOc6Jm2VgrBWGp8xAGxOVyrUQqFz3NABgELnrpAMsBJOPKwoMAdBIPlZWLaxUu7awRWnpq5pvBB7ZzK1x9Svc_xI_w4I5EEBdvyZs0vrF9R1yP7qsWN3StDi1wGLHyqy9Om4ReQyVVam1A5oDInkplWDUfp7Wt9zwiVmeJc6R-cKWAWp3ES7A4Wcdp44vAc5rRBOCiqscWxbe6wEqPmTMXwVqJd-Jl-pgmxP4Sr39RfTc9kWNiVlLUqbe8SL2UprYxwLCG2I8qLpiCSBI0xzeUtHNc6mbNyR8q0a6Ly8utG6yKiq1jiCDERIQFgcYBIPygd1SHXENHjKCrHhwMCQNkDGqSbQAUDeo5t5GnF1BwZqABuUTMOWlzXOB-m1xhZUKZFGRLpP5VGukTTMCwyZU0U12GmfAKmBw57XANIAJk2U0TrPJlpIDYygx1nNLCXTLUb4vPru1Av_d42R22sT3epcCCJndEReDUdmwsig4lre28bFEVYy5Y4wDHuEGqg2SQSTGIRm8u8afU1PLYJA_CqWqsljbXAHKjUZXuLgM3uQjcVou0uZEgxEotbX6i0Cbm6kc9YuqeXm9rQUX8WOo4DtaCItBusYv8ARRU0CwOo54Wc7Q7DJBdHwuitFMta1rhIGDdRoj3wSQdRwBCoNNkRJmc-FA7nh1miY3PCBHACYgNaLK0LTYSNIcYdglYGauHFxn7ys0LTEkADxMqB6lPt28yUE3hwbEiNiE9Ch5JbfFlJMF2O0uM3aqKSKpGntb5QcXlmwHnZdJOhamQRaAQN1cDsqBsc-yC1Pufq1DV52WsGtlUabyT7qY4c_WujUkBotHKjmrSqQ6IJJtGy1jeNesP0EG5za6qwj3lgJDTm55QwS5wAIEohahOxgxkhZqUDAebHU0Am6GqOe2owOIkTsrjpxZK7osG_KVpg6sTMtB2Mrle1lZgwhpAgmVl0iZb6Yu2J2RU6rsNgx4RBpuFKwAvyJKIoXQLb5lFT1OLds8bIoCA02uiVVlxkgm0cqJBeSJbft_CVpwIaIj8rIcP0gOg3SJE31DMZaU1RptkmJA3JQUBvk5lBVpDwbxqMidkHViJIOfCCAcAYBI5WcZwrzpBcLyoiUOvGcwUnQZogAC4Wp2uAKcNJG5wr4rg6LwAVVDWXkHJ2hBZs6JvAKziL03ipIMg-VzvHtGmgey-2N1qQ07yGkQbJUuk1FkluOFkAvJIuPsgcVQCRPcVZ1V-tfTvMtOq58LeqvRrtbVOsd2FvVa3hr2Ne0QZumM4rT7hOw-FWhM1GnFgs1CRcAOUorSILQPpnysudamOEASRH3WosptelxyY5K1oqarsbnIhSeobQaYcbQRtdbuNkDXXJxGxupnWoWp2GwhpM5uFmxpItADo25WMUNUOBn4hRCkusTckY4WcajqZ0TwUVqpO0gXEEYCKeb5gO8qeo5tTSCSTMqWGLM6iTchwi6n4rqzaz6l5Ei0gK4aqH2Akkxk8K4a4OAyTA43Wa2T1DM5A3KwitOrpguEatwqapRcWgZHhBqYCcHHKLpyXFoNiTx_ZFTqQ7Vqn7qVqAB2930z73UiiGu5HkDCoUVe1o3BKqXoweS0SBzb-Fm9JpKlTA_cLys-prvV0CdREG8IlKa0zIEg7WVXf6M14kTIOCJ2WRZvUEEZtYK9GrtqluYvm-fdFc2oWOkXzCDnPIMuJ5InClB9QVG6TP3RHau3JE7IqRLr3AdiZ2UW0rnSCOBKJ6i5-k8mEVRtQNaBB9-FqJ9ccxuDcrVrSD6kDxwsMptB1ySS7JjCYgGSZOIss1lRhgADGVFitImQZmVpGhlQWGBH7bXWgxcXDVafC3g5hLny4ERspINTO8HZoO5yq1FJ7XOwAq1StdMf6uVM1nqqsqy0WNrXCuY1mBUeSYF4MBEpQTFwDO6MwSQ2czE-6umlL3OAaO522o4TY1LoamzIyTEDdM1Tgw6THMjZUhy_UJBBHKKQ4Jk8XOUEyHNItI8n8LKFIgBu-ZWlAjTY82RDUnGYvpKze09ehScHAkwYUrRX1Q1pzIEWESp0bGd1SHEmLflLGL0RtaL3HuUxc6UD2jc285UZRdUlxBNlcqi2pDQbGLe6YZSvdNrXus0IXEEFZztdVZW8-NK1E0zXZ1fhK1pXiCS3cZcoaDZBI-Z2Q0dWL-bBRNUa8gBwuXJ2asx0yUNXpi4EwtRqLtfruMi0JWobXqtoxmCs_iqgMSL6s2T8QA8GP9I2CYAXeqCCPspiFJMgQCOPKzYphVcRyb4CQPqvIMkcoHD8SfJSxRFWXwYE5WLxRb1AMx7BZ8NWbWLcGXTY7KNauw6nQAI3GxWbE-tNLeSScSUdNjX0tT_ME22IAhUb6WBq-ZWA_qNBIKmmnpEHuuB75Vb4wwJEgmwujZmkAnf2sss2qU8GLf6So5asIBBBETElIu6Dqml0ZRr8q4OlswL5AWlnYVHkGAYB8LKXrpF17ytdM-sr6ggm5bMWUsmFcysKY1NbduyS4Sb0w_q_8AU9brqrQ5un0xa0lq5c7-Vbx4fV_qXVdfArViWswCsW3ksmMVYB4Em54Vin6L9L6r9Ue-j0lF9VzNgCs3qj1eu_Sh-kUGtrPLeqOaYFx7rpnXZLMefX6Y0S1ps0iSBul6MZHF0hrQIGxyFC-hciS6YyAtexOyNcSSCRBzZZnq31m6-sxlN28C5BXVi8njVJe6SQTHKuMdPyvTNwDB9tl96-Vh6JJcZMtys3uKs6SQGw0ZhWFJTNxrdPhVGqpW10yDEbNGFnGKzAuwD7TsqRamC1zYEm5KLjUAGO7bWkrFYs7VY-ftwtS43Dgyf91rf2VRrtMzBC0atYRGYT1AeO5siZXO8WQMtaS0jK3F-J0Xl2oucQdlow2l7hINgbg7oscXCngX8cKKiDrEQQDiRdajNZPT167fClCsadQgAQJso1IsIY0TDifiAqlMyGDVa3yjIuE5-nxsrFUbqA02BGDylQWSZB2tPJTRQAaOC077oOfDnCbk8KBDQDcbrQLHEODSSDsf90XGhl5kQBsCiFqUtQu6TlFBrwSGmwGyHpKkPd42IU0S0QHXi-yhFm9jYJndItSNzMaQtMraW6WtsbWKl7BLZYBc-FFZqgc5wBZAUHQHUzNwqsZntAubjENytKhWlsAHO4290Y5XIzxD8Eyjnxt3tpokvgyHRgEI6wK3Uu6d7ARbfgLN6W15H6pWc6qIcCM2U1YTpnFjYLpJMkqar1encRB-6i1uq9RpoA49lfjL51xD6ribkmx4SftZ52kG6HSCJVVrou0tDbEcKVW3p3drZGDjwoNjRBkEAwrrNVpVnFzZIic8LSL3MAuyMgKM0zMb-3KqFqVnSQ0RPhGtRfDnuBkjiYUZZqwggO5VVoZ2smc3hRolRgJN283CVXmdQTc4vaFJGcZtMg5cpfURqNntnO6Y2817Jc5s2nKLO3TpBJItaFP7awNOm4iJv5Vl1TNcZxC2GNzJwlCOGsAfyoOL4IbB0j8rFNRqkEWxEXWbf0yw17XmD91wtaJQdFyRGyxW5S1XhxcA2I3Rv0Gk6Im1s7LFqxzWw1x-VLVUpVC2YBF91RvpdQ7SIdYZWp6y1036zqm3jK6y_tmx6fT1w1o85BW0_F6NFzDB07SIOFSxqbVc0Q0wPKrC09vbeVAlWmTLhedlBOqDe0AXRqUgbBBLvbwpXWn_AMSTYjtmD5THKcjdQGuBiD4UJy7Ss1ukkmN1K6ztNxEEskrNiEBgTtiIWcodjGuu0htsSlmAP1SLzwrBpYXaYF8RKlWdtNJmimQIHJKimJGvQLHJKlFAZc0mIz7FA8EiTJDrwkoelTPcZ_8A0VQ4p3JECdldBLXFukmY8JPQ9AFwJcCSry6aVLyyYBDchc2S-nLiXd26C7ZAFxpysAuaXXEAxa6Ate5rgZPsECdRU1gEnNkGKq2KVpAna5VjpIzOD2y3bYwo3v6ZepMNECxt7BDYj6f7vpjCm4o0wQZOVKHD2ufBbJJuSrCtFF5nb2VSSXuttFmswMEYKJnZiwUp0tJxKNM73OGIEm_lZ-r8Kxxc5tw2CkrneV8bw6GRMwqntYq16ZLjJBsAq7sD3RGk9w358LLBmuIYLSWj7lcxRl3MbYuCToaC11Ucjc4utStpspjBsPe6uhg6Haf3RmUkBLyKYGSbeFbMHNp6g614xsoGp09DQXEyNlmDM-dZgCCVmiOkNAiG92VAXF0RMoEd2iBJ5QKxrrRdxvPCzvYtq05knkLQOogEfUVYzVRSBa4us3ha34QaZltzpIMid01poDdemSBAIlaFWENba4W54lXph2oGADws65cu2xjngtIgTbCjkr_7jmkyOQVp1aKf-Xg6WbgCxVPVQadXtAHugFUFhcBLiOEKQNLg4iADss1ii2GAxfzyoyRjwNUYPAV1rcLXYKjTI7grVvLWPqKZ0ua1pbOZK5Xrpvj_AGwVGGm6BjlZdJUqtRoEwe6yN6gCBUElE-qRLpsSDlFUfxB9wglq7rG4yEVx7XmTBN0FWEFsk-JQcMGSLecoA02MTI8KIq1_bfnhDQe2RmDM-FMUGg6TefZL0HAO1wVAadQsccQcSmajp1E2xjwnikc3cu7uJVQgfNoH3WcTHaiHAgT4VaAuaXuBBv8AhTxCl2nF1pXNMumLncqg02yCTlNFQ4NESDGUwMHwdU7Y8LNRppOLQC0-6xuM3sS_1HQJBnKmphw3UdM7zKkU4b6f0kAFXFwjmxG5GPCiNDHOAtI_utyxqKGXZJEflU16XQvZNzpP8rRrQ9rQf9S0aV59MEbrNEQ91p-r_SVCtLRqIItIi-yOdPTJp1NUkxwiLNqAxLbncILUyGiIOrM_2VairmH2J2C34qjX6Gmbncpi6yVbnyVikScS5oIdM7HKza0VzTgAEDHlcwupx1QAIG5TV6K5x0iRqH91VXptdAuIOVAzjqJvZUAudGkAaSoK06sEAm3sqNdN4bveNsKC7f2xbyECucdQE6nbk8o1rg4CTj23WbCU-sh7bwCPp2-VEp6Z1PknzKlWPS6UNLMlv91Y1ilQQQGxqi0JixlqhhqAxMDc4Wf7UB2AhseFGk6dYucSe0DdNZ1R0vde5GQmsW6YuDRJAj_SN1jBKQ90xA4iyf0EPdJkZ9lKA492kAE_6-VdaO4f5ZsCs96lMI05Gpt7YWqh2OcXagZabxCkrXazHGB3WOy10oaySc3tdS4DTsLi85UFDUMgOM3uQiUKgEmBbI5RUi-CIEScnZMWJCHuuNN8T-VcWuMvcBNhYaTgKMHJcCDLv-VdaibnCTIJG08qMkf_AKhhIsH6GgEgDaVbO2aU1IjaDEqYi0iBJHuFZOw7LMuumNRWnUsBpHyYTwpxU0M-re44TExYGIsHN8ISmc4_TcSov5OLtBgiZ3Wouq0nS7ucP90qSiHDUJtByFF9BhIAi0A7JjOFdJByCY2RmmdAAjc5hZhNiTnOc8Xnn3W5W9UDmzMc2CupqmsEzZ0jEJrWi3u0iPshpH2IJBCYak4BrnaYPshKUNLiZOBkpqWrsaSQ0Ej_AElZxWhgtAsBkqVMdWB02dLeVZGpGZwBIsQN1bSo1IHm-yzx7ZlEdrZIvlLFFoHdFrzMKoD5BAPzAQ3EwTMkkjYpjXoanNsLTvCzfUw9JpM8bElZ-pn6VY68ahb8q2NeRz3AzAE4glSppPUcHE20ixCiZp4FQAHBNvCuh41WJtsOE9PTtJAA_aM3QzPWtr2vbYGPBVdJVNRsQUXYIqbl1p4RR9cfSCXeUTR1NGrcEfZQ2FZJJuimL9Eg52SwMasNF44A3XPKlBr9d50_GU8NVBOlpBLTtCk9UGkTJEu54Voo10AEZ3lc7EaqPIF85UXWhj_3fuUGyk6SZMeFy-r20sMEdxnbaFp0vba2uQ0gHFpzKyOe9pAOeTuFkxVj9IAAPyrv6P8AF2uknFlfW9GYLiLz8LNZtUoEENghpzCjKh1O7SZnM_ykhAcHQYcDayK4QI7sJ3FlLUeRgeFS9puvF8pWcRdRimZdbMBSXTWDqq7qbwWusBELHK543xeU-mK9V1Q2nIByufrbBXDjULJI07gJBOl_74aS5s5dC16z38fRdH_Udb-kG6uheKlSrck5C6TP450mW-vnK3XV_wBR_UHdV1VQ1KtR2pznLlu3a1jVUeauk658Lp_7mmZ9MOGoCZvMrFCPaW0yQ3tzfdagy9TqLDplojEpOkteX1Lg6iQLGLgmy05Mj6hpnTb4AXRjX5XruDTDbbGN191_r5gOndLL3AJmUG2m_saMuKkAFJzXSWyPwtBzEAWMDbdEwjCS4QYHCIenIcIdA3hRNaGP1XyQYWWatTcZANnbITdVmDiUrSjb1I0-U_JlfSI0gSTk8LrOzCPEnUczhVHfTYiN4UAENl2mwsm42qWw1zgCZSVIi5kw7FkUrRp7gSSMIxmIVKZBJBuc-yqpPpaXTknbwmLb8BoBaTEQE8KLSSJ02IwkRYS4QeMJqH1GG6SCCi4rENmAZO6IZzQ-wBEbFVUoEiHSRZA-oxi6sIVrW1HDU4QUVogEC83ytazd0CA1uROPdZSelZTtqJMA7hFv9C9n-ZixwApQXMt_8bQVFTeAQABKjOmHTxH_AJCuqY0C3HcRvskC1HGLEHibJCXtGsYsQQfeVcanTOZYdj77JhSPgsIE6tlSM7h3CZIwUZ5ZibC2XHHAUY4f2ZuthBv7QmuvTH-qdY1lMtyPe6zyLHkP6j1SJaGyMhZWLUu4gAkRlFr2OmAA5Kgt-qAs6W03G2y18ZeGx0aWiDsb3SeK4kOdDWqtL0p3bcKVW9kNGQTGCoi1KQbS0lQrRRdmYgZkLUZaWVQWS0TsqyYHUZMi0XRCuIIEXjhFxmqsg6gSN77oBp7dQzugNCZGrnhVYes8OpugSRmyzW486oM7FQ6ZHgtG8nZEqLx_lukySN0R59RoNgIjhWzWomG8xdVs7GkHxlIoQDYmD_C0mnYwMJBOoESpTQcIFvuspqEEmZWb_TOpVhwJGSBuVxta6ZKrPUC531UmHtOMWkLFjchIvmJCmtwNNrGfhN_axwnSRnwFkrRTcX6RGkeVMIuGEwRvstyla6Z0NIw44W9RooV3NgOkrrPEr0um6nS4B0wbWVc9b2gugXzHwtRG1r9LnGJMREqBzU-otEGL3QIYqMyNUSosRGAJN-dkx1-ucwgzBkcbqH49mJin3C55WXPlMpSQKbQQJPCrpx8SIgHS052XMCe0Nggq5oqymAxoi4uCpi4dze4FpknkIK0T-0ZyphGlsuB1fS0KKBbDi0O3yl8HGLSYIH3Tj2p2AuEOcQ47pmClNxa7TcnydkS-HMlwYLEmZCOWq0Zdcgh30ylWXteBSBJm5sJWd10cKb3kuknTfOUFWHtEi3PCBWN0ukvMEQpRZrgAAwGQbqYY5wgyLA-VArmwA05N55RqRI0gIgSMo18Y61MkglxPICGsVZkAjN5gZU1nWd1MuDgRaMcKOsTaQ13dhRTMLNUh0cLUGnp2yZBknHlVem6gWtAF9RFgqi1PU0Q5kDkYVVi6oBzyWnHC530L041OGw8p65WX1sbrMg2E_habnFPqmyBcWweVHV5_UMJFmzG4WdYTb9AOfflYnoux-oAloLvC0sXpmaRJIEmY4UxSNAAmSYKAua6TaAb2WuPoBDgzV-3YLdBDtTSdzgSsCtPuBjJ3O650QeA0Ge0zsoIaBBLRKDon4x4QK4TIwfKUDdobPMhZmBqYh5Bd5haFmMAFreUSqsZqEOOoIkLUpljhjSEaUY4k_TP8LWjTSJd2kQBuB-FqVK2MZp7iSLZK05WHYbyASAN-VHJp1DWbSIuQtRqaLf8A3AZ0wZG9lWu1WGQZuDibIRQtPYBpvkgo0Z7dOmCOAYss-uc7LpAcQIi8gqMpOb6RGki6BjMZ7hgwghVJcdJBBmNSlmtyvNrUyxxBIJKx07Rkr02ueQLAKNM_p6nC9zgouKMBpmCTzIQE1CJyZO2EDQHtmYccgBGiNBLgCMZBQMHQe0DSUDky0GBPJQK50m1rXAWcZrhIBmfsmGGLwZtcbcqxdUZBvETkIp9IYTGALBQIQ3STEmLKwcwjWQQbbqUEuFpEwYsoJPaATIhAAS2bGOZRCA3JDtUhZtShEYG10lWHkNaCbrajqhwFyDuFkUDbGD_ytyhtbQIO8j2WQWOOuBcYUsTFxTMgzIm6zhi4fF4EHhUKdQghtifhFMHaiXEQVis1Wm4ucAD8pOiNLSNIkD3zKu1FqFqggrXG6N5a1rNR2XUc50tP5WaqDjckGSLYwouqtcCGmIG4lZ1zqhd2yDDvCqNNNhsHQbWlaGiiNIdaT7o1DHUHCTnyuk7U8a2tGCTkrVxWR8AkSbSIlcqqIB1AgxG6wpRUJqkidG8hYwGdTbkA7hYzsJBcQ0WHK2rUBpYAL8wkaGkbQSPA8p6sgEWnLpiZUMNTaS7BMDKM5irKmnJkbe6DQKkgXOMSjOueXEh34Ropq3giCBdBzHkzJmM-VOljQx8GADOZHCdK3Uq9riRsoa0MrBwxfkZCLrO95NS0wTwuK6OrSQLAlWVdTDg1_AUZP6hDiRMnZQcZfJvMWVCNcGkkmVBF2oOIBibxGVoI65BabZMJi1Sm-eD_ANx54UkRUO_G43Cf6LUXQ0G44ClrWm9QsAbxJkQopmGIFzJvKuGDUfLRAIK1mNR1NrYF7i91LEsO9wI59lzt_TKGouJbOMXwFr2LHZjuMjcBMxokgSYLROyjOGGLmeEMBzMjfIQwh1QDsgVw-qV1I5rdicjdFqjJGmPp390YVc4N-m_J4WoumYQ6NRsbXT1VAC041AbBZ0aWmWgCTxZVgAC0km5PKgdu7YtIi6zl0MLXgOWg1pHJWo1oSADbtkT5RNO86gJFgbEKIXVLoIv5VwTc7QMW2UwAuIHP9kDtdpIi8qCjXWJ2GAE0LVc05JmN1ZSlczMfEpo5jdzcDbcoNFOSAJuOVprVBqd2zEeMrKp1XNMxa0rSazkmYkjwsUtSDXFpJMHhSXtk4MOMiZjK6LoB9_pmFldO4h03JndGUnRrj4AUrX-Fa6ZtgLNvYpq0hpAHCLCsIa4wZMxZW3fFt6OX92LDeFjtnpzDJIJ3xGVSqMe1r3tiR_Cesma8Fuki3Kq4oxpcM-xU9XFPoIAmN7Kr3F2GQCLzlG5AqvOoQJAUTtOm6XTMi6RnVbFsXB3CVdcw6QYz4SG1Vr_UA7TJ3VbhHNLTZ0rJTtYBM248Je0FpveQOd1MmLqoeHPsbC5k5WaCJBJiQDiVijUx4EedlhFWu0EAm2C4JWo10agNJoBmN1zrpMrV01SHmTbynxWoVCM4TNDh0gk3nYpgpqFhGEkFqbogXgXUo0NJIH7ZN1N_Yq3tNgLBKG1aoAzssW4UoqarAz5TRxNyCZPsr7ROdMDMbrUCvBve2xUk0RdJBDiT_dTMpjyOsqF9YhwMN2K48rt6dJMgPpgU3S25uCNkjWdvLe06naplSLhWs06nFwDTbSclRm6xuY41JLjp_aEg5jcAgG-5VUzWmSTAaFuUUFRoaA0k7Qs3aOLy54B-nAKsSodYxrW_UIO3K6M8ng9Y8B5wRPwrHKzGPs3ErbD8q9RV9SGti5B1Bfdvmj0r4BcYwg30WgNiLjhZwO2qSNDsza-VoK4aGOBaQcgozqDWy5sktG6jGtRILO2CIU0NSaHERLY3CiNVIPAlxk7FFi4IAM3dKuNGY7SBBMnZXNMWDoIhx0jaMqyVQkaZBkEn4W2am20yZtGVEWDhGN99kNCm8nVLu_EbKtOrRrAHaQNiiW4ZjC8AC5ARndRqUZMNdcXJSJ-UYn9jxNmkytOV5fYmx-qp7mIUdOPK1pe3uGkGfBUbCi5waTed0Q4EuBFgcwmNauYABn7qo50Am5nlRnUy0AAiZ4C2pmuLi24F90xr_HSSe0b2TKNVMCLktHCjNKRp23QcLyDMBKDVAqfTIi_lQCmAI1YmSTlL0d1Rha6Db7ZWTpUtl8WHkboS6U21OmDsEGasQ_tabTeyv-M8ZYxu1Ols3BgLTqjUcTcOhwy3lESdWBwbn8Imkce0wSTvJROXhQ0suQAXbIxx6Za1dzDGpwbyMrn9dI8vqu_OOClaYmUHC9-IUVvoN0hp-pyK3Uq5vtcYCtYW62tr6ciCBbdPivKZUDX30m5gqwKDDi6ZM2QbKLyS2TB8KU2tjH6nYE8wosqky_JJRa10nNIJgAbyrGdXpHSbsjey0501V2lk6jqOyLLqbDqJG8So2lUaSRMl3tYIALHu-SFRRrhplroiygHUDQyTIkSUNec8EmJzsudrKDmyDmRyVZV1Oo0af91V9YK1PcYWmp0g1mqYzsYRrS6nARg8Ks7Taj4lMTRyZ3UNAAkn-Eq6lUdBiCPlYvjPqNWXN7THsuF9dIhpdFwsXHWRB5bqIxay53a1MIRgRIhRPukgggSQEUA6XDRZ2D5QaKbe8TlRa0scWhrQTIWojZReNFxLgLz_AGWg4kQZyYAXSDZQsQCLDJK3HH69Om9zTI1XHwg3UKmqMFoF5VDEE1CRABGQUV1JokzqcVA0STYI6amWn1IEnxhGeVt8Ue1rW37j74WavHPrNULS9x1RGEZt7I14ef8AZYsbnh6TdbxBmN4V-NRrfRMN43WZqnBawGLkWlTMS3ETUIeIFtyM-y2x-S2suk38Bc763HUHG4N_JGVr40oWgRqHtKxuUcJaZJMkW8LU7Y5eKNqAACQfO63kctqwDhTkQSd1n6eqU5loyCcq3xrj6s0uOoGZJtK5OqrYLS0mHTZyg6WukzN7IzbhmAVSIBIiQIuqzqlOafkHlG5v1R2nQDGq-6wqOmQ3Gf2o1LhajQ147TzIRvZGbqCWnSRHsMoyyvALdOTHyss4yVGPYJDSTyq6TWapDTfe-FlsWWsBkyrBspjFzYYGVpcaWi06oIFgVqs3pQvcKYcTm0ArKyslW0wY8cKWKPSmN7TkpCNnrG5P04VXoj3F4P8A_LAwpTYw1XdxcLkcWlYqJaTUc0g-SFnwOWucQWwIykqLUYDTMArXrUM92iqJILSNlPFBzg0w0kgqzoMAA0jVIBuFdEzUbrAEAA7oGLtUWIA3CwErgQQZdxKsWo1HECRIHgZWahadTRbIHKxfVwa7rAgj7YSUxLXp0302ymGAHlz9QMbLSNRMtEuIBzZGbuma5x0n9s2goLktc0ahHvdXGrT9OGuDwCLb8qMmaQ18zYGCF0kXpswRMkEfZbSyrU-x0mSSInZZefFmOvp_I3W2uKrRDmtJm8EI1J-zOIYW-Dujn2pTeA3Vpnwpf6VRj9YA3nO6imedIba5JuVGcSe0QZZ8qtfEA-O1x8gIynUJL4BdF1HSRGrDAXGzgRnhc7HWR5tU6qhc0i-RGFGojOmDYbKVooPc0655WmVGHVqJM-wiyhhhDWtLZ07xdFAHSZ53RQdjgAIGa4m1_hBwzbbICI5z9RIM6jiCii1l-6dQxCzrMO3JlxIGJ3KrSs6RjeZUqJumZBxfCSmgxpbMEk5ulDvLcAyoqbhMGZAyqJPlskb7LNZrvpEiw8LCJtdkm88rU6WKEBzIgExZa1dBl2nYhXDXCoQ6E8TVKcuveAVFU8gkCUVpp1QRDuzxypRWmRqBJGkm_hS-DnO77AAjZYlDBp0ap7VUWpGLxuICdVOjtcbacbqSitI-m-cSZut8Vj2qTRVYGgyTsuqYmATMhavFEqrNLxa0XhcwuATgYgbLNMaA4tDdgP8AUFIzitGoQZvHC0eetQk8wb2yusn7a6O2HDusMAla_L9B9TXwI8_KtuwQqQBJi24XCrGR7hqN9vhZ9aI0aiL_ACUqBJIJJJP4XLOwrXgvJDjzHhaIv_iAWiJCjXbqDna5mxVjUrQ6A3BBlKuk9VwgbTsolaAwFoP4CIDJBaC4j2RMXcYp27wecosQLobOqTwEDUXnUQc-NlKsrU0zDo0uFs5WfUO2o5vMngyqNLaw0jviNis6a6nU7jpg3Wcb9Iaga7Pi-6yDkza_lBTWRIdmFbNE3ViWwZBbkSmCYMYxwriaV2qwFwLg7pik9U0-L5VDsfrdIiDaNlPmCxdEFogYA8rIpSc5wOl1wPygNyRIvurja-vSDpJjystC1wcW8RlGe3AS2Zgn_wAsmnYPqXgiY4Kl_o8Te4yIaBykibqrbMYTMHMLpY2kGgSZ33WMBdUl8AgD2TE-64zVm-naFlXNJgh2FWcKCDq84C3q-BqBAsG_7-6qWjAsC43KawYEabERupofTsAJsc3TWlWng3WvYa0MqgGJExhMZMHYJvZTTYII_d7omiHkGxgcm6uqowSDuDug51OGzNp5VgLXQCRJB2T0I5xBuJcoFBJ7s7RKvYBsOZNgSs4Oa8QcDhazBZjtQAJ-eVLBMPL6kNAIFoVwM6QZP0jZXBSm4EYHwud0Wa_QROCTZN6FCdAt8ReEl1tnfnIuLwMrFYRfEX-o3CaJAu1OBv5W_R2ruM2jlJQSbTaW8qgNkggExmyonUaXDHcOE_pSttFyY2WbGpDF0iQ4zkiFpehbDxIwPys94z6UvIkedypekWdUAm0GJV9XcEHuxfJKzejVWPBMaVTTGoA0NH4srhp2PkAaj7qeepq1N5YN78K_46SwX1RYHB5TGdFjgBgRNjhZ8ZMdjfO26eroN7JuZPKIpJY5sz90a7jhIGcpq6oyoINzI5FljcqpklvcME4K218VFSJIIgrFh8VpvGrV9Q4Kzir0nDWJPsVjwnpx9Z_0xPur01jV0ztTReCLmdlyqStjXy-cm4xlZa21oa_U7cyrFaKYG5kDCKpqDsmCfKmsaelVnO-6jotTeS-FMrNnTQXEsANo2BTV0WvAYAYkZtlZvYGsyQIbwmGi2DNwYHKT0Am1zN9ls344jU25UisXVVHUqeqATsNlz5bhPXiOeajjrMEnhcXTdjU2B0jQRLr3mFpr7rztRaDe87m6mKrR6Y1HaPqJFiYkKyFYalB9J72loaQY5TrcZR9KQ4gw7YQt-Agybkjmd1kc5rmkGJkZiwVFabiGgkA7Qd1JErB-oVv8pwIDSbAjZdJ6xbtfOV6g1gwdPGZWr-nOp_4n07ACM3W2MflcUQbnB4X3X9vml6TmuwfkKaNHq6KY2M5VEHVCakA45URVr3aWCZBTUxzMAtgngqM2K02l7HHjbAWdZaqIJEF0eyUqtNxYdJH3K16sWacAiZuCq3FGOLnFpgEYhWCxEtBBgeFsF0OaQAC0bTlGUiwnVa3BwoyBwZInxug0UxDmtsSLk4VagucS4mRpyRF0Y5f0NF8d57doFkYkpRcQJzN0dMn6ZeqpB3-lgJkBb-MXhKy1AWPBiAcgBZJxynkucCe0SpXQ7pBkNFkQWjLhmcQrGmhoFtV5SgOgkg7c7pIymImSdInAWqOH-YQALA7KKdjAMklwJMgK6aZtQtOkWnlQEsIuDe83RaoHNdBHad0TB1jV2iSedkAa4OILjKJnRyYqRJO6PPbijYNhIjdTHTjKWqwMaNJJJzOCo6MlW4cZjmEgi9vp05aZtMbq1dZH1XOBcDMCFLcXEGs1FpElpuT5WfyZF79FMCLnNldWzYFLuDnEiRaFn8mZMeTXqAVTtJUnbeI1IhxN554W6pWgFoAEnzZTGzUxt9KnjN8UDi0gQDwQrO2NJ1FZzW6Zz5VbiFJzXOPE3JVVqJbBwJ4UTFKDYGJUo1t-kRcqEUABNoveSitNFznNAOnTGRws1zvrZSIa0ACdxOQugWtUkyBI_hUcxweLAe6jRXuBdNzIgBArA4NdOAFQdPaTDZGwU0FzfXpaBmLozXn9Qw03QJ8SFzvqMzn6jgTF4QBhLjcCFYsQ6imCzwtNMT6cGBZvKsaQqvEi1uVpkBDTJuNk0F74iDlRS6SQScnCiEqnBdkcLNWJFvbGZ3C4V0iVQmYmPlc7HZOo0QDIWKIujVFrrkibgIBDl0xSiZBiDe6vUFunJFyYn7LNK0U3aoi7pWoNzAHgRYgyVoVBjcScLU7Gnpm6nB1yTybLoxY9JlQaAbk4gKstPTuh20HYqDRTcCdJbcmBCIsxga6HW2Q_0zxpEAWlVCOYabvU8blRS1Dq2GrwpgzOMRABB2Sl7I5vcSwXi-yzXSXpfphocIn5WWpfjfIAzBGVY2nESAR77qX1mpNZEu1WP8o5YfUQBypm11ngh5IHP4Wum4pqaWgzqcOVipRpw9xAgHgm61JjHKaenTLnHGLlWsTi0UXl7BaMiFzuuuRRjNBJa4SWwREqbTGhhLg0GG5HlQBhmpDW4OCs-ihicC_7RsrHPl3VaNLtAbZ258KtxbTgQfJhFEUj9V5_CwFqiCCbgC_gonaBBqEEAQDGUaktZapgFpknnlG81nAbMfhRJ_6WfqO3tk-I2VdZWZzAWicfcrNAxDiPhSdKpSOt8EmY4W19a4eQJiJlXWLDBvqOcXD2AKzWL1WKo9pJaZ1TuFCXtakS9sOhzttkjq1PIbNiRH5Vrjy0hhwBPBIAUZYqh1PPEXIWcdp0m2HOEWjZZqrMdJIN43CZKp2gsMSADvutZg6oC0zZ0DlT1crmy9gIsTtwtK5zjYASZ2SyUDVpknIys5gtqJYDFiN1cEqgkmRPErHglU7xe0DCgkWFuwPsp60X4-FAHixIHsCtFGk4gAwNXGyMrCzSCSZuETDgOzDfaVvOkxoax0kkDgzhMima-JBaBNu1SxDU292qJJV3FxoDnNYQ6L8rpPFrRScRbLuEcrMutVJwAIcAD_CrF7OwhwORbi6Jji7SDqiTfmUUrS_STJmZiUSLNcYbpjUDJCnq-maHGAQIjIQ8c-WONyWHlZZ9Zw4Ce0GbXWlgPqZkDTOUx3lTc0Fl4lZq682o6Nz8jK5X1plqXdIkE8IuuBgOaL6d5VHNbNUN1QTwVBR0sI8W90HNecRAO3-lADLTOYMZRTAgmGm-yAtYWmSCJ43RCCbjfkqUOKpaYNwsRIYEOgyInC1FVDtTZgFFD6rGAdgpGcC8ugQd5VUMP_KYoOdq3jwgm8d1xYqDnBoECwygjJaSQM3uqzguuRe543WcwPECJEK7iA0kEmIGxVs1VW-d_CiiHCfARWik6SJg-6UaQ4D6sEbiVCJuYC6XE2wQpeiqgDTcW8nC58r-kp2nTJFgTE8JLlTa0Nf5EDAAWplBB1EHi11rMVv6HqRReJdA8Lco9c02VwCMxsu_sZYepp6QY7TxyuVisrHHFwDkrONKiGk3J5JUZuLB4GmJ8o5zuNQqwLG63Nah6bphpmTcLV_pVGVz3Ai_ha-KjXdIMO0t2hcqrHpJMAkg5WYpQ59hPapUoucadMQY_KxU8RbUIcQ4DiUtNNTdvxaFG4tTqw4Ab5ViqmoQNwEoLHA2NptbhBUVvR0wdWygqHepOkgkWygpUc19PP08IMvqgkgRdXGaLO0uuL7qDTSe5zZtGFLG1mVC2ZMbKfjngrOoE2gflZspmmpum8wY9oWfrXg6YaDAmbnhXoGlUgxcSgq8gDkneUGWo8sJ4nPKBRU1XjSMQd0xQFSR23vMozoQSMyTsmKpTcWG7QDERKBnu1uF4ANigtTeXAQQfxKiw5qyMAO90b8PqgFpgDPysmnLgZ8mU_FJ2PqSbWbxsmLpKj2mIFsyFfjNKxwadUuv5usxHGq4G5m9idltrTAl4MGb_CLBEadRh_8AZPVFp0kuAwJWPxNBxOvVmPqDcFX8cTVA20kX2lXC1I09gbcJWKBIkkAXtdRA1kugZxZXwVpSJJueE9WVZtxLTp5lbiK0yZA_b_qCot6ltLhKzjFlGxEnCuJK5roFxPsmOitNx0zEAbKwFrxJBE7lKC2LCItlqSYI1BtgG87_AHWaELyy8yDZagUuIHcJfKlHNcA5tmgeVBZjtTQQZtiMK9QEEXMT72VBjV9N52TwM0mb4WaNDHaGEESscplxcdqlwuJ5ha39qV7WugwQFnImYzVD3zG1kkMpNYJw0iNlfEcWS0EjPlNCOqAw2wJ_Ct6UQ2GuiZAyCiXsHmbEWiAQVRzBqtZqzf03BcQ3EAqYmBtIaQpKA8iIz5W52oQBDhgbFPy-JXOdpaC0iPNljWVmgubNxzGFdDayTeAMra4Zjw6wvJyFLEVFUF0Ex5KRTB4AJHcFm0otNxMgecKIqKgIM2cPKAipLgDZUVZ9ILjJCmNpuefpkyTOFMQfVJcXWN4IVxtz3-nUuCRi6d4sotubkSTYBNXVabxJBtysDTTcJG7Dk8LOaqgrAgCbEqYdtFGoc6iQRiFjlBdlQgxncn-yzYrZTqABpi6x3DWqjUsDnws4izn9pIEDibha6Aa6bkuCnjprV09nkzfgq7qrvcJ1TAxCz0vQscdiL48KYh4tJFlEpg4kTF9gqozqIBtbbdaP7TqlrWkS4EbJOiPM66s59QUxBkSZ2XHnXXjx_bzqLCXEebmVyvXTWNPUO1UWNDQCJlaSWXpi9ITESfbKNVr6V56aq2dJEEYunHljPrH1E1H1DuCpb2uM9Rmlkm3PKvviYygBu-8iVnUHU42O-y36o06LmD6iIxKamvF_XeoI1XDwLlb4z6xcfOan1T9ZA_C6fXPBiPqcSfC3q5X5jLdb3CDBX229Pl8Wp9LDREaRm8pvWIqabWC2BytiFRoJaRlQa6NAw2QOcKeDqlLRUa1pBKqYfSWSHkQdgFGbDu7YgtJnSIWdYamt9Te-ySrOlwLESAYhVuUGsLQfwukRcVNDBK0lKXyybZjEKJDUxrZpBjczhFxR1MEF0guPAlDCktLpeTI3ixRFRIBMhzTjlAxLRqBxkIaQsLgWntJtK1EYeqq1DUgw4CBhUIS7Gr7qDtIYLaROFMFotqid5VigIabzJvdUp2uaA6zi4rNR2mKYLtrXKCcuc4XA8LQoSSWkQNhCAN1NJBPmyNTxSm4iTja-6FO2abXEOgYjlEIWAAgW4VxdUa0luknNrKVHbmItkcqClgP_AJBVnJaAuGkTKN_4d47RMwLrLjeWMZEBziIbwjp6gCGumDG8osQcxoeTHab-6laRc4N0iIbwshHg6YHyEXHmOqFlSLtBUMZKx73F0mcQrEFjXOa0SJ5TRU0mziSpTTkFkwRGFlmkILqckW25K3GpGSowua0TfytLQo0S17QDEmUWNrW_TYd3OyaqlIhgIIvOymJTsqO1HcAYTEitFxeA0jKy09CiDg7YTcYsXLiImDbK1LrDgDUOrLYWlUYWho_sjRCe-w9ioCNbe0ibKgyTu0A8KSJRDJeS2OFUZ-ulrfmJC5X0eZUaLEWURBxIdYWyrFEjW07Bb-tRirDujZVqs1YHAgcoyg_t7pnZFxweT5ARqRZoDmzaeZTtPxTNsEGSpn7a_GJQBaYXKxqdIuaJkZ8rlY6epVT23zK41UPqLsQFMRIAahwduFptRlMC8WWUdaYv4VkRso6YadJN8hWDU14pOAAM8rcDmHOF51Cyn1FulcWuE5ldZWd7ewxzWic-yq7GmgRq2RmteAwOIJFxCMmpOqVG5AHJQMHapuQAbozQ1a2VBEtJyixN1J4uDMYgI0m6m4uaAQSb_KlQXU9GRebwsqpSMuE2hLCWxdjg58AEjyFMbnLsxpRkgCbkKOibmQ2TOk7AIFEHBIIsirAsIIbZozChOhJBMixOQmYG0upiZafi6mopSmwEGdlLRctdZoPdOUitVEFpIIkgLP1DO0k3zn2WaAH94IJBCQFjtVQz2jA1LQtTMEAAzu7ZBpY6QDOl2JIQUcyGCTOm9jlZwZalzYkNz4BQCAYIvAhRqXEazRokiCOEbjC6kaZLic5HCNWalVaP_kZRJxxnfmS2AFK2y1qg1N02GLqRApVJEmZwrB6tIiqA0ZG0qtQawExBkcKMcp9YqjG9pEng8KMTiox8bGYsZR2yNtMCpS1GRH5VZyWYi4REm3KmMzh9Z6zAWg6ST_KjriVEF0wL8Jg00tJkEgyflZzsMNXcBFsEras9R2t0HtLRaVmBqTYcWi1tlWY4scJcILeUVSpTlgMtBOPKm6GLoAtaIITRF9bUYDSAuYzuJabXBGEBs7uFgdpUjSdR2lvbadkNR1mBEySoL03ieT4VjK7arbfYLct8FKb3AFxgjgi63LRop1DUg9vEQgZ1IC0SVlrFemJaRcQcBPWPxv7WcQXkEEeIV3EuqBzWgR7Hlb1zs_arJc61iMlU6aHj0rzc2IJRn8XNMH6mki9kDNpktJtfZC_oS4MgiDeIOVIs6Ua86YdAEpWaPUOIa7UJ4UgxuaQJsI_AWnWaYD1ILr7QMIpXYDTeVmxY83rHANkDuWLGmGpBdcDGywBLXtDQNJI3RrVdYDQ3JHCn1NBobEEaZKq-gSBcEmCieHDg6AfdRp1oBwJyqHa4QRBjlRCk6yYkOH5VPVPTNjM-6zhD6YwArFcBjwpRx-sSRczGEkC1AXOccHOVocGuAv8AlTQwpyIn7KUSLiznUOUwI8l18oFDpJxPKgYkgWI1DBClrNI1wIBIm8p6irdOmSd1Woobe6KIGqLgQoK0SdV4jkqi4dLQM-VkFrNIGmTOZT_Q8iwPdys2ByRpOm17tWMYGiZtc2m5Wp6L7Te4wurZ6TiwgkoPb6CqXZk23K68b0jutYLiI8qclYX6i04Bm91mhmkECT9lEw1yZAMbElWRMyL03lzQx0SN1SLMfDAZkYhXTDsqEWgyLjyrphK5wLgRhKqLCDyDiFjFcQGsmI5grNRFwGL6QMkrBU5hwl1gJWKy5vc6DcZhablVqHIBgRNgotUH0DH3Qhg5rW_SZKtVUPIETHsoKUiNUg-ENWcT6b9REoVlLNIn-dlLWHG-DHJ2VWNTDDbAYiQjpDtfoEHe0nEIH9UbmTECymBfWm82tCYqra2vUCAIv7qYK03aSHfunINkwM9-o3k3kAbpgg95DSbEG4WdCaiBJJA5wqFD_UEWHgo1gh-l0aiDwQprPioPcA4gngDynoJnNo4Ugu2uWtuYBEiUWHpFrjKN6LTqIbBzMqIoX2Ol26p76XWT98bqJ4YkmQBAT1lzdQbJEn-yzmDmglwMC4haazpSm0DTePmyTxYR1MiqBhpM2VXVB2EmZjCGdBTbfVn8IijXCDFyP4QTqBxbP4QxKAJnAvKiWBJB1AW3PCyioI1XBj3hWVGinBAIBA-63A7ORdu6abYr4bZpzyqzb-xaQczO5KmsHY25MW91XSKU2hrc2O6KYiADPmQg4l0fVlAjm64zbypYJloc0A7TdIEDDabmcq1LNDQZAIEjzZZZ8Gi8MLZMvOSFcdDtfFQkAz9PaqirHyBwdzdE07bAqVqHc4SIkCJAlZaUbcTDoxO8Ji9CRpMRZSxbNjLWkOsYPC3JiXxEmBE54CwwYPIbeJCqJFhc6cid0aqriY7ogXRlJ2l25jPlFTJAdN7hL21HNgtJPGeFVoeoeTELOMuDibNvzK3GtOHlroAUvGVLeky8_SRIG8J-MZirakyTBJV_GKIcJECHYVKpTNwTBJ3ClZV3tblIp2vFMzEgLNiAKxcXYIFwFkOHBxBIPduEFqTpIO-19k1qLEscLiwtZTbDSVA28Eg-CqexJ_ZYSI3O6zSCIMEGQbXRRAglhcdYuCpehdrou03Obp6sXouAMBxIPi6z43qocHNguwZSqvSqdo4WKL0iD2ke6zYNnTwGEEH3KzYNTbTiB91za_GrSdQ7rJ6YcEE3kkxaUWTFWV9LyRjCvV9aW9YapIvmThZotRybj24WRUl2m15Ww7G7OsVMFO1u8-wVGesS2dLSTkqW4seFXFUnUASXXIIXm9rtBZSqtMw1onBGVP8AVW6lhcAGugzsjCOstMEyirdL0Tutc7Q0ucJ8K8ZVeb1FP0nYgj_y6vq6ibuvMxuqM1RgJIBmd4ws2MY5rJBmJi9lfFH0yRq1ifZVHzv619TyBMjAXbjHN4LWH1W6rgbArTnaDj3HIE2CGvzVTsdUTJxK-5zt8w1NJptkAAEcLPe4ugHuLnOMFsYWkSeQ58zac7LQvSeTLSLu-kKUWBADSQCRg8Kpp_SdUaHE_UJMBGRbTkgAiBc2WcTFmX-rPhTxk7DLiLwTF0ailMua6_OVqNYqHlzjImFpDaCJ3naVQzWBjrdwA5ygLpaCWnP4RfB0NdqaSZAF0ZsF1EscIIIi2y1EwwY2DqBjYqGA4wAQZE75UHn1CS46XAcgqok5vcQGkt5VgFtWCHDcqi1N8WLb8hFqgcTTuTYoijXC3dCBap__AEhdTBBgJ7i36fyqONQyCDpHhai4q2KjJ3wpTFCwAZJ8KKZtMEFuXZIRDMg6hpIHkYV1AEzbAMqXsPpIcDNhugEkGMADKNYs1oEHxibo48uVnQmkXU5Jj-ylY9vbBUuSNNgbFZd4m4nRpsD43VbSqABouJjK529pqQbMz-Et1qEqAEFxnVwq08usXOqiDabqUSqjU4km2BAUmlKKZaJBlsXC0fDM7HEkgNMWUc6LhLjpdPwohHMhogg3-y1G_GdzSJaYjYlaKLJa4WPhCNDiRpOmR_CmLpn1g0jgqrHBocZsYwjWNNFvdm84WGHodK0HuFiMyqlVe8ABpIcNiEvTOO0kYMt_hWXSCAQ7us3wtGqNIBOwUUxkwTDTMe6CbjeDiL-FUqtINadMESMoRj_UDqZAE7rlhY8sw6ZMCE3GXBoMQduVA76R0iRHK1NbjBXBLgIAW2mOoSXQDuhIkQHTcHwAjUifpn6mu_8A0Ua6MJiTaeEHTazTA3REqroMQuNok4F2knGyxW5dRrkgRus3G0fpzYzuuQ50GbEKa0RziIi4KmM09JxFjAT6NVFwaG6ThbS3F6cudqJtG6KvTbqAGNO60lVo6jmwnMLcc3sUX2BBtGIWkaWhxhwFxk-EDtqxeQ0IFbXl9iSg1a9LfqEnhA1MEHNswrQ3dpOmQVnRKq1xaCJG5PCzQ4ENDmd8pILU6ZLdOBmTlW0UpsuYIBjfdSRVDpfbc5RqcmeqQbuM7DwjqTVckEQiupZn9pus2oq3tqDcb8LFo0glwbFmncCyQDUck3GLXKzRWxM7SBZajcWbIaIGoDF8KUoi7mAmCbrLmNMGDl3E7hKZTNY7nJu6JMcIqjXSSIIA4Ko003ukg8WhBoaNbYJEAQECPolriALKUQeJ-n7FZCVWEAAA3R0lZqzIIOm3hG5dZnUyQWuME4Rpk6qkWibkY9kKxGlJuM84WairaYNSMDF1Is7aqL_TdIItuLx4WzcadZ1CTbMGyLWdwZLxNnXzYLKFpaXmDHEym4vrXTMQwNIHKsuq6s12QbeQqiDv8tjZcJWFTY3GQSMhSjgwa-CPGVQ1VxqAgO-yoj6biJJBOCSsammpBzSXYDjEhJUi4JbEAQdzsre2nVJ0aoBKzOqA1wfTcAbxvytYMzoJNiCN1zESRqgkNi5MoGOA2QeCFKJE6Bd1hssd0K5oc3tIBN1YsIz6iBYjhbRowJA7hcDlBoZVJFseVrRq6a7ocdrQrOxSs2zDB1DCuLrqTg20W3SRdXe7BmJFit4ze1WjRUuZ3thSOdtaqT3aiZDQRtfdHLc8WJngasmJV1UWgsItmZCvovSggSYBJmVFzvTvpjWdL5PJVKWNQgXKGA9wABMunfhSolU72yANRz7qL-TmSTYmD9lpuBVY5jBeW7-6jceVVZqMGeFi1WUtAgRInMrmEAFMndyBqbnEzMHeUFXkmYMgbovhXaASBucoWqNZDvxKKJaWtsgTSROqY8LNqDT7jJytLFWg2bMk5RT-AUCwSLHGSpQrruBmYUlQZAda5C0pg7UCCb8cKWDgSBGymBANUyD91YAWzYpQsBkXEcLnYzSReJaLqIVjA-NiStRowp84GVpVgAQCf4UD0z2tAvcygq2Qbi2LoHbBgaZG6yHB8gGEvHWa5r47rz72RTMeSATedxus7GVqbiHEm0BQX9WwE6ib5wumtqAhzZEW4Co09JW9N-4GLqxmvUrAPaDta60PPrCTMiTayLpKYGqZu3blBSn5F5sina5zicAbFBWw4HsEBZrL5H2WviKO7WkAZuRlQS0-m8YmJgqKBqE2NuVm9p9K4Aju7YOOVzojXdAJDRdZzVwtIwcG-6vXxFGSCbm_yoqzBcSUNwW2IBdbCLpnRAAaDJsiKUX6DJNuIWpBrYNbQCQGnIhXBFwklphc-XqVJxmAYA_KRZTNrEG2BsjSjapdMjCqnmfMo0YOa7a3hBVkhoMzewU0UaYALTjhNTSmpOTJPG6lNRqPLSWAyBce6Gizh2Igf-crKiJIjUQYjTCrWlDzGQIixWcZvZ2vLY491uXAS_2twVKKU6oILSJcN1KqzSQ0lZFGuuYkbrWNHeXEYBEf2WU0jXgv1TgY2KJrjWJAMzN_YqXxFhdswZhRcUaJa0kxGy004NOsggjwqsimnVeA2bSrnQnUlpvt-VFNTBNwdUfhQK92l2L5lUc2BEmN_KM7UXhw8zscoW36SbkRtER-VGa0iHC7iRwoi7S0NaMkLQo0QToAPIhaxVC3uGkQQLylY5G1EkAkE8ZWfEh9YBguv7LWtu1ixyM23QODInkWCmAwTabRlaAIgfXO3wVBJ1PA4UkAm4tAHm6tCPdpqADe5KyzQLrCACAqao1jSCWyJvfcq-L6drdLQJgge0oSQ4OoiRHKKsI5m9lkO09wA-m6tjYtuSIgGwuoJVJbq0x7rRqDh3Gw8WWWCEwNO5MYQKNLbi0n92EVzXQYyBewuh0mahJvPEJi4GqJuhoNBdILoaDfypegHDU4xYDE7poGqJBsfCS9mnY7UBN7LWpo6G6bGBF5VJcAsAu3flF_JwbcGIU6LdUDjDRgcJWV6dTzO0cq6OqvDQQBq8FShWlsXBBWVh41E5EXvhF0_q6Y_wBPELPhq9J4AMEAFZZUmWxm_wAq6srocXEWJ8KUIQKkGAAMphrrsdufdMXVRUEntBgfKng0U6kaXWjcp66Q1OveCd8K2ZF1pFQOs13YOVypq9B2nJkQs01rpS1oGo91wsVWijVDQd1zblXa_VEmSVcxcO11xAk_laVopuadtN991gVa6CCXb4TzwWplpEHuJ3RcaWkHSciIRPDcw6PZAzS5wAExyixn6iu3p6jNVxHddcuV-LOKjP12n0j4o0WQL6y1PzkmSNyPN6_9Rrda_U-HWsGiLLnbrTFUfD2u0xAjPlZQrqsvJMlvAQGl1lSjamS1s5nK1LjTJUeQXBwkkzMpO0K6S0E38HZVpJ7Wl0EWzA5WWfeiOlhIB_CiYU6jDSRPC2Pnf1FvfUIveL4XaXpxvTwyyHEi2nMJHO1B2mTLiSeFvFnHX5qdUcNJbj-F90-Xy1WnW1nTzg8qKeNJH7BuqHcIa05Ow5QdSe7UHGbbqIapVFSCDBCg0MrAhvdbgJqY1tcAyxg7qoLampzyYado3WaDMguycGCknRejuBcGwbGxT6zLfose9oMZwtz1pQOaKgeZkbFaBNSIAtCJp2MLxBIHNlVFg0hpBid4urgo5rg4C7oMyQgeYAl1px_dQQe6XPuJRKy9SLktEGLjlRlJp0sAkycA7nhUc1rXP1OsTkO2QU0GO0wR5VgaCBmSVQwG8T4QCo8emAI5iUUjIdgfARDBrXAtJRqUrC4GJ7couKsOu0nVlaiVRrmjYlzjus1MHV2wBBGwKIIHcTqxwi9KiGtgBwt90HMadcxaJUZtyacGXNIEk5kKuFv5U3_vU4M2WWuPFhrMuYJI38KOzOXAXkCbzwgmWOeDw7ws33Vhah0sIYb-FnK6eM1WsSCDNytDzq1yf5KJqTgNDgTJ8I0Ia5wiCBiVr4ldVaLjwJ5C51zoUw0sjVF_urIQXMEAY8hbdEZBqNEWnJQM7SHNN5m3sjIMqOq2E3PuiuqtLdIcYBvhGoLWnQC65n8Ka1Wuk4SQLFRht6Q6ancdI87olOXRLtpt5USrgEyRJwSOEnTMO6cZabrcaEkAwYgCxQM5xNz9WxUxCgSwmbHJhX1WimzWA5xsfCmfoeb-pNHcxlvP-yix5xpmBNhyoWHptPN97KVhYgFv0xKsajDVDHPggW8KtMNWkACcBaWMxZoeb_IRokwZnPhA-q1zeEc9TcHOi8jhGkKhLHkYtlc7E-aQAh41GbWK5V04pOHbZYtdWdzYJ391x1Ym6oXWMhPxRwyL2WgzHhx9jCZ0NdNhrHtOdldxLNbGGGBgsQrJvZrm1SO11xn5WsTWhji6AbEjZbjFb-gqEAgm45WkbWVCZgujBC1i4qafZY2WWpxSIa0GHEe6heKlNwJA1CRyjOLMr6W_6hzwiNBqhzfqsPOVAaMPdIMTtKauUINN9wfJ4TVyr03S0wYGATupDKeo5owbxEhVMpX1HQCCRtKxVnqFd-pwkjSN0dgotc7SZnws0aKbC2mIFpU0VYSDoMAHJUotgCJIOJNlNCUiQ5s3MbKCzHAuyCCtRdaA0NggyFKaR7CXDRMjB4WUO1znu0k9wvKKdlQtcTpIAsSDZTGsUD2y4EAN2PKGNbQdQJPEeFGFPocO7U47QtwF7y1ocQRO0KUSLf2nGSAsiNQF0kiDwixGoRTDYbJxdG5Un09RJnUd4EQjpGLqGlzn2EbKat9ZH0oAjG8rNqJCppNwdKHjTRbdrmmATwrEsq9Y6CGk6nCxPK00yVe8giRHjCxC9LUTDbhsRmExYqwlkAzGVpV3uD6YJG8XKUZyxoIJyNlgJUmXabT5wtBpAaZO26noi_udmETS0zqmbhc6yak4U8nUOOEirsdqps2GDC00V1T_ADAI_wD0kCnOqTq_BWtCmdVwNJWKMjqgbBIysiZcXgmcXvsoFqHtZqAucp_Q5pOowBEYCzblWGots6bEq70hmuDLWnEqwVa6BaSqKUqjvUadx-FqUeqHCtSIa4lxyCF0E2gMk6Y2WIKkEwQC4RwuoanULKmk93CyljdTkEmJcLzhHmzvGgVGwD26uZwrFB2moJa0e6s6anToGdTccI0YBz2iDpbKMWbcBzzJdFjb2R1nRK0uDgw6QBwssctiRJG5h25Rg7XCZDh_8QEanLD1rWkB0I68bseRXa4OcC6-VzrTC4FttIgGZWQdLXzfNyg5xFMAHfCuA65phos4qKDWBpkmSUMO9xaJndGnCqHb42UoDzqzA4UQ8iQRkcKxTB5Lu4xwgH-kgmQVRbWAS2c8LNCONyWnNr7LMSEDwdUC5hdFUECwycqaOc2QBMBTQWgktAkpo59PS6SLLQk4wsVKm_DjN9hupGXU2w7TvEyVvGzNYQeXREpkRUQyCSSfKgo2LkH44TFNIOZv5UFAdIs2SFMDhmkumBaZWf6QC0zM2yniCHOae4yNxhL4as0ENkfysaigII-1uEjbSwQwrpKi1MxF7raV6VAufStfSFr1nUK7II1ZRqI6gBp1RIujTmusJ7gcFSs1WiCWibXwqpnVIDQOYRVKbo1TNt1ZUM95kRF90omHetFxM77LNTXOqFrbHUNxCi6RxkRPiSs4IPbpdJGoRsooGppbbAupEN09dr7Xk4Uqa1B2rc-52UKLnCAQ4EflPVjmGdJMiMBXFVZa8BJyxGhtQQ0OcBfJW9NTqvaSSDIWbFQbVDn3F9pWcQSZcXRJ-0I1pwHTaYiTCKLd9Ljq2CCuv03gEWjKLpm1wGmDjA4KmLp6NeAckYIKmIAdBDjbaFcQXS0N3usgyTckk-FNbD1O7TquRMLeAEmcJAW4iT4lSzQzIA7gNUxCh6pfu03At7o0cOcweIwmMtVN-uHNsdwlDPqtmCYPhYwTpCWgQT7qtKNphp0kgHgZUZMwFr3C7ROfCrUq1OoW2sYyUa1zX6miCTc74TxNXaHwDEjYLZOivJLSQA0-FmxdAuOk2vvtKyup6jqABJ9gqCW6AAbnAKiXPrO92twAJLhuqxunDNJJyY4RBpuESMfwjUUhwExIJhEq9N5H7oMxZXUMyrci8nMqsRoa4l30gbyEa6htOkEh08tVXdINTcCBCgcFrm2O0KigEC5iEwTFyZcIiJ8SoFFRpdoJsXWMoOc1vqEmCNknYSo6Q69xhWibop25WdSzo7XFrQYBcDETKjOqTcmQ3SPkrTUunaA7e-bIrQGEg27RzwpgYt5900OLg6iQAON1W0SROLSjNK9gtMi6x4iJH1CZjcoEMNucZASdjnEFsgG6uCT7EDHlAoJggndABVIBbAzlZsCl4BM5WAdUix-d1cA1d1pHldIHa52MkjdWAteQ0gqgtqEdoIJsbpQPUh8C43nCyzbitN5LzefJ28Izpmv1A6vqH3VxuOMAEzM7FMaxxcCCCLFY8MOw6g25HHhLEXY8AQLwYWBSRUMgwYhBwJvJh8WIQMHAQHASW7pAZAiN_Kq6LagEAmSmLp2vgEACJ_2TG5fqhIiNRaJ-VKqtN0PMHAWbGdbqTtTWgutC51qNDarY58rCtFF9xBgcqY1K0sqRYXA3UaijHQZwDaVGl2vhsSYnBuFMFTVgXEXmQoKMceQyUnQ1tJd5A2RjNptYAAiQdkXL8Va6KYBH5wjUeb-ouDXRAdIgrhy9dpGJ7i0QZc3ysVpJriKjSL2UCVBqA0kmLkFGRZc7AoQujtecgG5VaQYSXOE-xIutTqLBNO4DwIzMogVIkWAkWlZpsDSNTjBBiPBRKydUAykXjunYCy1Ky-Y_UajpJcZC6xxrzN5nP2VYjNoOp0mLremvzeAHMLQIxhfc7HzN_pONBJv8bJC9L0rtEkEG8FUO4zSb77ZhTEd6ZIBBMRuqFc3U0OAnkbqUPTmnEmALAQg9Gm7XaQ2TMFVmqADVaDbdTA4pgNDnCB4WbbOkoPqAYMNSTazqjHHQHYAOeV1ii_vfBMHygZmmm0gjUUFdRY4uI3CsaNIBdlxm1loUc46C4EtH8qDnkuDewEaYlQZXgtE_u45Ss1J0H6p-VETggFpBtgoA1mr6hbnlUO9sEGNPPlWAtLfKo5pc6Yx44T4OqDRULgABi6kVNlSX6BuYkKoJ7RB_CNRzgRYDPlFUcXNYBgHdajNNrBJNjAhZNVLdPbEAW8FAkzUJb2-AhmKMqFpJLj7FGjh4P0wBmZU1zs2nZWj6rcSEw_AxJJcWG2So1uMdVrnE3JGfdEllRDLRtMkHCYoVJogNOIkIRAn_ADdgB4RdSr0BBgnUpWo89wdM6dQF74KyhWs-ppgTeAhKo2iabQBe0lG067O02gncIzWUCI1Y_KsM-tbKYcwEj5CpC-g3UMzNrItZnjufNtsIg02tg6ZkFAawNTTMFvJQ09O9MAmPKGrU2TJ53WWmyk6ADpmAiVcEPc0ZG8bJCrAyP9V8hbZFj9OwgXElQB1LWb2i9kHNBcWl0gbKi9CC5rcqC8GwyDeUo8r9UpgjUDc3ELGjBTdAiZ5lVo0nUYFuQs1ixSo0ta0kwQqMFTtcSJN4wtSmpuo2dNgqsZa9OCf9SOkrLpsZ91cS0HQdOmXHeVGDQQBCDL1JvOCufKtT0jngDTMEYhcb26IVKoOJWL06M7qmQud4qk86iNOeFqdDmsdYAmeCr0sPTYG3wVm0a-nf6Q1EhJ2jdScYa4ib4K6YizqYLZGSbqbVTBcwhovt8LbNj0ej7qgJAwu08c_r020zE5JG6jSzaZDMfYrLbNWa5jIM2yVm1U6FWHESCPISJGlz2kEiAJVTFKWouxEcIs4qNqBttVh4Uaz9O9UuA_dtdMVVlUkFmABssUaKQ1AE3HlNUX_Se2RKVGao4VTYaeLKBwLwAPfcILU-wkc8qUVLdQB077FZXDOBDIGJsVMK5pFNoImAImFEVA7paYWoNFNwhwkkcpQG1GhzgH_fZY8BfUBDYBmFVcNRbHPlPWlBhrvq8LI1UnEgOkxKjCgrh7SJMKyAy7Vu5rRIk5Voaey5lyBHsdg2uFKVnrU5Bc4y8XlRvim6fTz9kdIwdS8QQDJ4UrUYalZzZi4POAsWLifqB7Yn_wDRCQrV07C2Gl0HaVtD1g0nuERgHKUxB7ROtszmNlItGn1BfcMJAzwjLawa2mHacJGtdUaGQBczN1ojPWaSRpHk-6zYVKZqW-yzTcUYXPmW7wkunpTRLHQDIO_CalmJu0Cwlxz7LHL1B1AQYkRZWNYuDo0ARJRSCSSXXIMFUAEuHzZQc-pA08ZssjMaUnULiUALdFQ6R7eVBOpmHBX-xOCwtAFyMrlQC9zKjCDqnlazYKOcT-yPbZagZjtLTJtuFRRhJYNLyNyiWvS6Tuc2SZJJwunGq2GAIdkq2Cbq2hzhMbQrKBTIY-BBIEyVDxvo1XOb2tNwjzW3VmuY5hEd7RIWtNpW1HFsgQBuFWtUbUaXtGrU84MIW4Zji7JshLtISZOq0jdHUpqGJcCBgEKM3wKhAYQTI28LLiDT2EybC0KtziRzgW3cI_0qWV2njHXkk2-JWMVmqU4JBOk7rIzkQckDlWAlpbJcBB2VoeJtJJjZZCtq6i0At-dka02sVW2gewRNLqDIBuOIQ1xfMSPuij5u0-FCqU2OJJ_JSooGkxaZMLMIOklwkwZwlqlcWsdDiLHbdSEJAOqBJ8Loq7GNabm_KlgDnAO3hTBai4zhRNBzC9x54VEywEtPnhX1UakNic-UxhNvbMG_lVdW1d8wJ3KjQmau3yoAAWibk4haD0jyYI2KyNOrU0RMhRcEE_uMEbLP3UEmDbcbbqVmiySJ87hZ-YKUQc6SL3lZqLAhriDaSiqMdqNjbhdIsXpHS8brZXo9OXF8W9lqOcDqBBjDZwtX10jK4d7hhvhRXNPp-xKlTFqZMG5zbwqBIN3ESOQgrTq6sXGLKVjTuqAAYDgka1nBl0j6fBVN0WzG7hiCoR1QdsaiDmIWWkfViGxPKxalK11oIjZTUK0FrpBnxhM31GkVbNNw0K4vqgOprf2xupJig15lxI1FUXpg6DJvlYSncYABFsrcILXhrIIgeyu60mXgiwkHkYQwGmBMlZq4oX9o7rZsVFc1wEEx_wDLdQEu1ObYiTIndPBamDpIMEjwmhpIbMFthYpo6dTj3f7JoZjy7Vu6N8IuwG1JJGjP7t0yNEe3TkwYmD-UlDtPdd15TQdRwZPlNHNGk3ORYrBOlRidjBVnbRw7VEGbH5RlophzWQwXT0c90DVjyOVFxzKhExGYNt1MRVlQyJB_3QULjIALRaM5UCDVAFzH3S3BfTEmbxhWLFhUNNuq94WtbhRVgyTdTWfrv8Q2SSZGxCiwC9jndmc5UKUvgYgC_uqyi4A1Q5rYtdDDOOuciEQafeTtPARVwAwEj8oVWmIMxDgriC9kAxmclI55ilJ5LbkT_CYKAjcgEiIVajg2GgB2p0XRdMwy2DAKvigdTQAflNUwMGQcmMYRHOa17gQAXC4BUoV0vJJAbFgPKToBxtpEHeUvYUM_7WlZU4bLc2JzEQiVRtOASYJJzF1dSTDNEEQJKqqMfJIEHZTQ4dJkDVzKYHHYSSJMyqIVAS-4ygXTYB0nZBzG9uLE2B2UwSLS95aRABzKWHhX_SYkWACyvrMYkjUTCphXkkRtOxRaDw6G7gIhCQbb8p-KDcDeOVnO0rtYc0RLjNyVpexacOO1rnC1ptE1DpbIAKocSJjIiDypTNK-peeMqY544vEgFxANypOzFG1WkyHeFqtQ4qHJwOVmx00NRcbHfCvSaZrtjnAusUqjCQ5sgAk7LOIux2m4_wDpJ-g7HagHRY4HlasFHN1m1iNlmCeoMcAQfC16uGDvpAyLSsmUwkDJEprU6aKZkw6491BdrC0EAW5T1uRek5oNnQ0XMhYsVpY8GSRM7LnYq9B0vaQI8KWJG5p3m_Ky6cTB4LrGb3Cy3jQ0xAkwMhVDU-515IU1a0UxJgd191lGltQCfKkTj3FJkCxMfCql9Z1MOsSizpg6h1TqHkxpb4Xnt7dox1HEgidIbY-CpbqlaIAMahGVkLUA1Egn2RmjTDDYGXKztY5zwLBxcOU8VIGDeHDY7rWpC1S80yNNyss1N8BhLZcRyr6hPq7gC2bWNkjTq_6f1NTpqj2UnFgb2nZWcb6za-K6gP1u1XXZxrK94DX2E7SFYkZXU9UEflb1Mr810uoaSIzN-F9rj5w5fqsAJySVdZs1ziGkRlaRoYZcL7W902Cr2hzWaTcC91JdC0KX-Y3NzPslRo9IU33uTcA8JCHpUwIDb7mVpK1Nll4EHm6zqGcAWGP_ALUSoh4IAx5jC3IzVG2gESSLELajmDbiFENpJaDN5ugIMZOqeSjUrQxnfY28bqmnBawBryYOIWayNZmlgeJEGL7pLoSsxv1C7vJVVOrTDw0SZ52RGZzHtzB2ugk-pqxpsdigYkuZM6tOdlQ_02kEZhaXCtmme24iEQa7zUZ25FzKCbHG_wCUDvnSBAsN0UQ8RbbN0aO4n05b3DIWozQYROpoiNkxDufqJ7u3zZTFFgIaQCBOyjQwDpGXKamqgy1tiObKJo0_ptqBBwFpf7UEvJIwBZHCywrG9xJnhZiSyUjgLwBm6073zUq1KW33yOEGQgB5JBB84UxBd3AgHu9lLxVg6npySTueNlMNSp0Q14JFt0_E1QmKZaMHBWb0uslUDOPdSVZUamlkk5jC3O274fpqsNiSTtK1jDS-roBcYCmDzatZtR5ZfU7cKL4ag4NF_ClPVHkA6SDp_uqgtGiAWmAsirH6RfINkajSwusZzwg1UgWmxGqJMFaSiwEnVOlp3C0ipaABggYMrOIZj-zUbEcFFnbmOD3f2JRcVpSwHuEIhqlaWQc-FKPM6yoapOAfGFBkaCCI-UDtEOa6ImxQPUcNLgMpemaxPqanX24VkQ8tFExcEbqyNvOq90mZvK23GYPBz9RQsJF5khTWBLjtsoMlWSCQuPJqe6zlrmgSJBXJ0Se0YJK510jO5gkyI4HKvnimDRbbkrnasjgDrbcE3i6b0VUAAaYlZ9RopgW_hag2UXy682XWUag8BoGk3QRfT1EvJuD-1IzyauhqaSdVjuu0uOePYovbqtNxCjUqpyCZ83Ub0tWHUyTII43UoxaRrJPwoQ7GmJPwFdVoZWLnNJsRaymrFqrfTBcSTyqaFMlzMRIkyqz-SlKm7W0tE2WGqu0OnSe7kSmaQzm6RIJEHErKpBrngmQXSgLWvAJuTF1caxqY6WkATvJ2UtxT03AgzcC1rLNDAgj_AONrrOpZoaC1wOeL2UTMP6hphwi8QtRDscXMLQSDA-CgpTaZdNi3EpgL5LbnBWap9QpgTefyi-mFUt7dMXyFhK0Uh3GxJP2RFKJIJmACcALQs2qHPMmCDsqOc6Kkut7IA90t_upYZpAJIMXA34UzHTiFWA0nAImyjpjx-sbpfMkjkK6282ue4SZbt5XOpqdMwIJkzkLMqVspag4AAGcmV0hO2mu8emC43jJUtaQDdRluoWyoFbUh0RHsEwb6L-0C2qdhK2OfJm4lBjrSSbmVnUR1aS2TeVmopTqSHRMFTcIemGuaRN52UXSVXNe6BYDhWwqbW6jquRjhNxWgFsAGZAsVNTSEjUHhpI3WpTR1BwF4g4NgpUJUMgkcxdYaZtZuMD3U1qObkmSQFUoOa0m4tm6iM72OkAECUDMgmwBItdTaC2demSBupRXSACJJ8wthvTGZJMbFGbGij1J1gZOxVjT02dTqubuixiy6olp11InN1FN9UgxIRK2dK_RTbM3Rws7aS4RsWvF-UZwzHxpi3Hn3WsboE6askkDMgIxboh7WObIOlZWXKeq6Q0EjTGBlbdPyTe0NBh33Cyl_9XibQSAHR4RqcRNOpqDjkAtstN4lUaL9mN9lFSqBoDfZQZepLYMyGkRhYoydxa0W4-FgEPIaDtMEqhz3P1TI2hQTqw1xBOLxCBmODQNMx7IA8F_gcoEFOSAZKgq0DQczNkGlpBaCBY2T1s7Y2JUoSq8AEHbdGaiR6gBH3KzNRRrC05zkhbm_WoMS2cHwFVPTdt83ClGkMloN58LLNJVwBvmUWIPBMAfK1ozOuYuWqsl0RaD7bouLMDdMTc-ZUVQtIMNmZvBsopjbtnKiB6ZdAGVLdNWEtaOIusamlbVO8wVppRpLxOGnhSpVmggHcHF1lIIcZcbWMLNRX1AWhwAIFkWjSqAO1E2WjW9rWzcCxzOV0jNbKBIuBMlb9SKV2h4sIAvJRdZXCPcZATWtTNyRtFgmigDhY2GcqrLrpDiRIBAnKlZtVaGxJJtf3U9Z9I-IlvO91ZFwmqxLRBCmoemSZJ-0pa1KaqdTDpn7rLUZntDd5BH3WalI0tjF-Cp5UOA0AbRus6Hzkm_BW4sMHFpBBkxvhVpWmdTBmZvKziKh0vN884RFXPAIAkk8HC0am5zXQLk-VIpDAANrWVaggx7ALKg2qBIIAJ8JgduQALHJQNexkTzOFBWbAkeCZUwO3EE3_spAazdAllwtBGEgSZg-USC4kQ6Ta45KlrWmcR6YJGsj5UUA2HEXaDjwmKcdgkH7oD6kHNuCrjWmB1XkieFJ0ao0mnaDG6zWVW1Yj22VinNQvbb6hmBspVEva6XYNpVZUB2AEHcqYLtc0_uFhgLNgLagJtJnlTFFp0EFpP1LUiwTVOuQA2DeArfCg4wS8OJb_CjKdp0e-FG5FKRAnkBFEkEQJnKHQOAJc5sxG-ysPfAaSyZk23RIs0gCDa2EXXCC3MwtSJe1aDw7U6-oxCMKioXXJDjzGEHQJ1CJO0ozh2idzO8KngtJdqhsD7QiwXAOOYAysz9NKgCJMgHC0hGnbyrrOFDzqGqB_KjQgh1i_S4-N1BMu0A3i2Bug6mRJkQDeyDTRg3II4nCnYoGyCAVQHQBAJ1fdBRokAgZKAwGmNVrqhw5ugjug78qCdi24IMwgVxAaAD72QBrXNEmSBsCglVeGgkACbCEE6kOEHYBKMxwTMcALLWpSWmYmTso5296p6w0gWVjW6nqEQbGVoHVILROo2IWFJMWuIO6oYPDyRknYKbiARd2q8Wha0FjyHC8XlalDyHAmQSD9lb4AAWC-JyshgYOZHCJjtUAze9rKVow06gBblRRgh4uQBhTRpZbTc25CmotqgSFEMw-3wtYuLSNTZkTgqYudp1MmSCdk8XylDiourMAJiCDEycKYze1hEWsTwixopOGgEkgC2cpjppqda4dkTPus3tGikTIdJIWLcq600qgMCZjELF7Gpri0gHAuVLOtVpbUJGoEDmy5eNflVGEES0CPOVbca2L0bGAe3Cyzyq0jVcxbZVuVdh1tteFVM6fiYypiM3UdS1rSxrgCclcuazusVKqXPdD7i1lxdTamul1yByosM1pFyRAHKqoVA61rkXTExOn9X-k7qzGlSIbE-yliJ1QXOzEZKsPEKjtGHCY-SoymXFs5GozCQc14D88wCqm4Xr_ANY6x_RGj6xYzTGlmF1_K5iWPkiAHuabAYVcsedXdDzOMWWoljK8S7j4VZ2x-YKT-8jMYAX2r5v60B30WJG6oswtDxJvP2Vt1mtNGGm1yDdMDGm8l5Ha3Ks6FqTQ0iA4P5OFpFQHaiXTrFgfCoo6aZIB13v4URRz5OmwjZTMMPTqF8jjZVHabtO38JKJAltWQftut7p_S9MFrC4CZujODQBc4CDGYQWIaJxM44Qcyo1pdBgbIirQ57ATYTklAzcnttuECUgO4O2uI_hUBwcbmcyLIqD9Je6CSdzwomoVHDVpsW-MqqVwbSc0QYOx4URMy6XR8Bai6dkaLkyBIB3VRRo1tBiTGEE47943QcXSCIJjdFcAGttbklD6s0lzPK1Clpv0kD9oMXTEUcNTTYHTcrI6BMi3ujYhx1NLdlli9KudYEkzFiCoHptIAdczYrYewFplGuj6iGnkDdTHPJus73mCbXH5VaLhsSCTeyKyPBfV1Okt4U1CltgQCJKauJu7Q52J-6kXGYkOMmb4i60ilRnYAwe4KxR5ldkC8zOFzhPWdzS9xLjK3K3mmYC1tgA7N1rTC1nu9EmbHlNR5ge5lbwcKK9Lo6gc0l14GAosd1D5Om5AvhVKow9pg6Tm6I6nVl0jG6laj0A8Hu4Gygqx7Q6BbkrSVVhmc_OCtRHODhBtpKVKTuFSIMTzhQlXY90HEbwo1qzXBxaN4wQiBWqFslpTBi6hrQ4OgxlZvSayuLjiw22UvRpg0OFxfyrKaE6gf7JbqMz6ZJJBg-VeN6C1YbRIGw2W2nm1XOg_ZVqXEmnURtZStTtxJDoKiWCQJhGcZKkaiHYXHksL6YcJgLnXSI1jqAkiTws46RnNMvI8YlZ-4o4bgH4UxqEDpasees0WE3jK1IizHxcXPCYrWxxdbeVqdJWjVYhohw3K1rP5OaQ3wJuqluqNeCbkwPurGXr9LWGgab-60Vra6dIBMhQ3sCS8Ej6cKukuouE2mCLNkZWaqdHU55kS6YhRrF9JaBeCShIdz3uJANxfwjny9drc5jY9jK1KzGiiXu0xLSLRiViu8Xe403AjtIuSkodpDmETqm91kSlpNhBHlUOTcyRiBZVtLWRYm4OyzBoFSS21jsFmpbi7NWoA8Wm6xVlHtpgA2m5PlEtPI0k7zMq6ydrmvExLh4VD6i9sCxNkb-OaSW3BOymFioyGkRO6lIdzdYsCDnCJVQ6WtM90wdKwyIBkxYeVoPRMkg2k5WRYnRc3d4V1NdqD3Ex4A2K01EazgHAQTtZZ10sTL26oh1hed1Gtef1ZlrwCNM8Irx6rYENk-TspQKfaSSQLYhYyGNPTO-oRMhb8akxrLg0wSSOP7q-qzOOl5cci_wAKYmmL9Ya4DODCitjMXERfwtBg6d7-UGfqHC_cPZZxLWR1QEmB7WWayeiwtImYPCkwVpmCQD7q-Lmi5uk6dJA5WaYiGuLrGTwovqsgm4gxPhIYoO3TeXOHwoidSWtdqN9gmGMbnDBF8xsVpoHteQCRjHhYwOBMkgtJyquEfUEuAMxhD6jUGrSQD7KeFKWCpGqLcKb2ipA9IgQStAsdAZAt4UDyZcSHCyaq3TQGgiQ7YkYVlR6DXB4EmIO1l0jKgIdIFvdaaCIfclXBtpOaxoIJhxkjhGLNrVS0PAiRFlGczqCBJIJFhAWmamWhxdpt5hZrFmACTUgGw5URVpuKkA_CRQe6WEF5AGYV1uXOmcugicHCRdFtQTZsG83wtOgVKjg2Ae08qUjHVcHttuVitM9WWgAQRtdT5gzl59SJH2WQC703xfSUwd6jiPqgbeFBSQ5si4GYRRpdtMEmf9kQHEOkA4xCDnPbABIDkAp1mg4soLCqTk3Frbo1qzagNgAEVzxIG5m6YiDx3NgyCYss7jJ2gkRk7DcLUutRVs6TaT5TVUAEwpodsnwDZWAGRScbRClGV1Qg3Flms1N1RrCZi-YW54aSQ6SCZ2O6qHpAkX22hFijTpOMCYWbV0Wh0QL7rNRRpghxztCxUUpmZ3UCuh7-42z2rfxs4IFxnZLEO0kkdojwudxlVjA0F9s8pRZrQWzqPJhSKDBpe4SdK0jZ07y4abyTutypW2hqYG--F0niY1PJ9IEW8KXssZSTEBtskhREHNl03gj5RfBb2mbxi61KuyGLiKpOcDGEXBc_VIub_Cquc10DZp_lQxOTYT7rLOKEknULYwr8ZGq91oloPKiy4g52mB9UDJUrp6k14EkGfKzZ0ihdLhnTF7LCKCppaGECTwtACpiROMLSqhzg65ACSLDtdggqmKMe65OdoSpgvcSSJEiyzFLJILbEeyqgyWiNlitO1d1490B1jVEYtCM1ooTpBhtzeyljUMHB7_AN4wqOYdPdOdlAXV5JA4wqOptm-D5QMyKZAMFxyVMWQjTD9MaT4STCKtBcBcwNjlVoNQkt-UHOqAPAxqMQUFqbmtFxkHClg4ukWA_uVMkFW6Z3EZMo3mqNMtBLQTyoZpQ_xEkSETFw4F7gRJO0pUUDjJcDNllDUc3dByEF2vDRG5VwAkbH7pgkXRsRJlRrj6WAxxgwNkxtQuIaCdhsgDXm-YlWGa57jpjVKqeDqJiHSSMFSsiXOi0k7lRk1Ou0GB9UTGVoWkkSbDgC6iYsXS2bmyQPTdESB9lpVBVEybWwpgZrC_FiciZWsHOIEA6gAcBBwJvN2mQAgLXHAEWi4WYoGCLQZEEqonqcKkNAve6g4ybARgSk7CufqcTAIIAMpYNPTv0mzQG4hS9KtgmJVQYBEbx7KaAHxg33CSA6jIFgVAzmnJuDwtBnNjYniSgBBa4AiEEXuaCOWm3sgUvhgI3UqajUcS0wCXSpVvTK4lziRZv5U1ils4mbiLAWRqEENLhxiLqtZPR0g6sjhXUcKjYvcwD5KgRog7gk_hAwmQbQdigV7g0gAmBtys6lc1-qf2j8rcZN6mp0AutkjdUMYJ1RE_lXGoaT26tlmK4AuJcJP9iqHaDP1XIWVUAAhpPcDEhQ07HEAzcjlMWqsfDmkkHVvEwjKxcSRcE7bQtV08W_ZYzOQVTe03N1GBk5XK-pfTB2k9u1rhEOwkz9QMqaLMgjM8EqqYF0DSZHCyOY5zZjm2yg00qhmfK52b2NlMw6cfCjcrWKvBuAFK0djie6VmxWmk6SBkjcLnYizn6SDiCnQ00X6u0jbhL14unFRoMgGyroZ9WXNnHhVNx5H6i57arQHN0iTbK4cvW-KQq9jTJbObQudb2LMedUDJCw1LF9QFMN02RSOJ0TJEFP9XolItqlznEuPC118Q9V5DNIgeTwqsSpku7TJHhSxmkq0mtyT7KIi_SHxJkbKbi4hUqtYQSCC6xW52zZrzeuqB7Xem4wDuYlb8rnbrxH1P8AOJBwIW7JEY6zZOoyCUSsz2tc4nuPstOb8ttOlwDe12V9rxfP8p0003CGuHaMe66XIxKsKfcSLA85Czo9HpaEgGIPlTtMaW9pcSPpva6GFrHUywk7Arc66MGhXBGIO5VZquiASRN5tZT_ABCOMvEHPhW9Gqk6Z3JOyzqunW2YMjaVZEwYLRcd38LXFFTUAbAkkhbSp69IALYIMyiWKEGo4wcYHKiLNpgxEAjOpBYPBIDhtsEDNho1dzoH7VVLOBcnlAHuBB7iLZUIxF51AiwNp5Wox7UH0wS0wJO8qtyFy-Z1RyUKamSTgmZMDZVGkgksFgIm6ii5ha0AW9rIhKtGR2tybkXQTdS0CANJ5O6AtvcG0REIriTSJM3GAroM-qC474AVFYDHAkGTusmGLw4xIKlCuaWjtNk2HrmENPdcKlmNDHSJEk8BEUpM7WyDY_VKK574bpiNgjM6u0kAzFpzF_lL0s7TqtIcGyRuioVWwQR91lEwZcMiIMkKNROrTDmSCTuZVVno9PJwRbdLcSqOaAQwLPsRi6lmRBN0xZGZlLTeL-cpjYFulzjHaecpglVHqUyGjGyzdi48qs4h4sRpU2i1HqNI0kEk3XQaA9zhLgY-6ML-o0gc8IOpyCYDtJ5Uos2QRDpmykSttFpLTOQVpWhleAReEDEaG3JeAcKoUvEGZVQdUuBFp_hRdVbUG0kTkIodRLjf6VBj6gxvacKWaYiTJmL4Us1mwz-5kAwcXWE0C3S3tMA5KQSd9J38rc9Vmr_-2dh7ro082obnYKiQ7L_ypcalHWHFSN7pnNkG11dGeq0AZBvyuHIIZFxYYmNlztajLUzqMKNiKgLTEEDC533VZ3nWT2knaVLVhSQ0EDLdlMtK6RaBJTuMnpAsIcZiVZVejTI03JJnZanbNPpcQ2TJ5Wsc1NGoQYnlUNRpeo4R9WFuQev05axo32JVzBpDy10hUw7QNYO3BWa6SKup-pBnZRpEgAS0ERwUXTCw0u3HCmGolpc4Q0xHKjHKWqspmMkIfjjX09USMx5UdDOqS4G8J4JVKjtHmcYU9D0gCQHXndZvQo3_AC2mxcQNitRpIOa44JJvdY8qVdpGLYwVGbVqbmgWMxYKY1Ozl2owf5TCuJLtQwOEww9N4BJLo2jhVFgdYEE23CmqLQ5je0G95UXumpgudtIvO6zVXYQ9sFxMmZCqUbUwS6wO6mJlOHl0gSRF74WgGOLXEg42lZE6nUnWGzpG5UWTRZ1AgiHBwwCVpvC62NH1CTysqk43BuHRaETU6odWkahA28o18Ya1Fo0zbm-VmtMhg1iHNJaLBFjVRY2lyCBuUnane8FheLgwFpNZyAC4l0xus2o1UIcy-8WUWLsf2GmYc0Gw3V01Rrf8uS6P5TVZKlEvIbM8wFWUXUhSABIPuuVp9d6jmFmAJwp4HYTUqTgbptWRazp0kwErSU6KuQ0xdQO0nSZsRuVUPrBaDpmNwmiJfrkTbaU0ZywNPce3yosF-pwhoifKnjQVXyIwqM7W6nkm6J9EN0AgEAcLOqEzNvFip2CHtAsD7qs1Sm8VCSBA4laQHv21aZMZUwUoVArB6NEtLfqDYwDuu8Z-mdUBJBOVGjUakS42OxCujbROsi8u4VRsou7i0kcKOU91f05wBA35VLC1GQ0DbaFGayFmdTgbrLCra5AEGUHOGpxme76vKOmdIEaSdr4cUSOY5rtpM38prtNSrCW950gYC1GogII7TJOVi0Z-oIa1rdt1nUqLWtbp7YORKiQpc02IlzTJjdNaKG6pkXGygai-JHwQbKqNhyGgYUQWtgh0wIwjWJvBAO887IyenRiCbgqW4sMHQSZiDEKotrDjJBiLo0pIHYHXjCzTWct9ItBBHBWZNZPSJ13IE8LXjRnkn3zIunqnFS8gR4TBRhcCJ95lUM6NBAupRhrOMxgrOfWalTbrkEyFvUMKXpxpKaNLazTAwqugXaZIaTyZWL6h2uB2Mxlaxo2vS3STPlZwwWPDG--fCyY4CALhaUwda0E-FKHY7kOmOFnIK07yJvuDkoNGvug2GJjKz8Q7WBzphWTEaOnkcCdhlakG2mQ-BI4XSCzOymRNxaJslYvrPVJLwCS4gWPCi4RhHab23O6jXqjWipN9ThfwqzgvDgSRFwtN-kA0niR8IYckgEqaVKWgiWkA5JU1IoGgQCLbXyhYNVkgX2VwkY6o0Ey6w8KKlOl4iQ0nYWKlmi4cbOGPKzYmOI0gODzplZhFabJg_db1rFHOFwJmbKFBri4RBJCIei8CWncYKtU7_wDLk7eE9AbmRf5TAazg2D2-yzYsSFXXkYxATDRIc54IMu-yqNFNwbAAIJN91hqD62kHTIg2sqmO1Fwz7p0apADQ4wTsoomodAad8oDIIBuQL2Rs7XS4y2_MoC50Wk2xZETbULp0m8XKLDOZJkGD7pegWVL8gW91N2irXgui8BZsFYmRNj_Ky6Rdoaw2gKs0rwHOBbnwqHafTPcYAGTv7IlM58kS4TlTEMwk3DoPKfRRri92dU4CaNDm2Ag_2TRF7gbF0tO4UWXCntbIuMprWlp1BqEz7KNL07tMCVYzdI75JNxZaUPUDgYve6lZt0C6BDZjmVGHMs8-2QFqNNjCGt3mMhEVDO0bO5lA2oEXgW2QNSaXuxnBKujT9FhacnhNE2kyRd3sqC0Btpgz8pQxgEbR_CyAXkwAAGm5ELQEBzQ4m_lZsCHvtYkmUigKbi2It-VUXpENvpk4uFirVNdjsTurEcCHOBI8ZTA8XkgF3IQcHw3FhhT_AAUbG4k7XytAO7Zm9hI3CBmOIpmHACUEXHU8F2NlRF7Y4EZlZtTEqjSBJLRJmyi-oFpIJGDmEZzsCyB22nyo3nRXCJIgAi6IQvwR3eFQxYWDVAkiAUEi-JMqULqIeSTsLqrHOcHEgmw3Uc7ewDXDtg5VF9V4cR5WhRuJbC1KsKDL73jlStKtcIIgTsoGaddrk8cJiyGkAEm3AO6yuOZpJAHM2FlPQ4aW3IxZVlqa8nIAI3CxQ7XEySYU2hnEaYm8ZGxTRNrJdzBuRda6VcBrQDkTlZsQwcRYAGPwq1HahAMEDnyphapBcA4CAB8LKztWm6RAIAnPCDdTdpZDjP8A3crGNSCyoGOBEkFt_usWNtLDgkkAflMGgVbNizgNljBT1HOEmSI4TILsrFtIyCCTAuoKNOxkzwVdbioeabY1A2UPa8nrHl3UF8ATsAuPL104o-rDWg44JWLNa3itSeMSZCxZi9fGz1TpO0nAWVZ6ryReQTyi5D9MYMyAtKpUMkHjaMqqNFuhnbMlKJ1KYcZGRMyspjK5wLu-54GViiXU1KT6M-mSeT-1dZz4-M14XWVgwkPcDOzcALpxmuTx6r9U4JFgeVupbjPWdf6r_wDaoxbrIQRGgmDe5WlnHY_Lgc4H-PC-0j56zWxjrDVAMT8q1y8XoSXQbuKuj0W1Y0x27QVFXD9UkAiL2RP6BzWvLge13C3BFzdExItYLU7Ya6NaxDseVIYmXaXE6_YQrieKsGoSQZyTys52aZ8sAIBE5K2aLS4-ePKmIdrRBgGW5hbgJqyLEGVUp59Nl7kGZUZUpHWTi-CEFALgXBGJVDUagaCMOvY7qLY500yBoIkZlVEhMwTAOxCCHVsMEgQBgBITqszQajWtiBytNmENYBDQRjUjNOxuZIEiLKoP1kXkQFGosKZc2bwOUSuqENlrScqYJOouNz3T-FML0JZpYQM-FuRcK5zTaS6LqBG5s0yDMg5Q1TW55F9NsFXFBjS2oLgjY8qVlVsukn4EIEa0AWuLmVcFqTnNE7FXBenULmtdg8QsmOcxrmgtgTtF1EdTthw-QqTotYO1CHCdkX1CpRcWgnHCzSoOcW2cbAQkhEA7t0nU7gcp405zy9sRECyik1eo4ADb6gNlQK4BAdgYkrNRirMBcXRB5BTRGpUGi8-5SVdSLRocS_TCVvXmVAHHNwcrMvawA0ySMi1uFsq1MuIDYIm6MNL2RBjuCJh2ulvcPuVDF26dNr-yk6ZrVSIPaT91pVWM1OgkR7rWC4OnVIuceFFpSdY9QMzsqxSsLiTLgGxuqaoJYxobbdRY5xJbEEk7qKR9IaYLdpkosZWzqmQgLmuacg3XOxlIhznEYG6iEe0Bpg_C6RpCrdjsnxCvgwOEjALuOFdEDMbTuEVNoyYMFSukxQvcb_RNiFnF1leYDrWB_KxYzKm-qA-JtC5VplqGbg5iFnc9dUydLj74CzWdc52mcgrHrekPeMD3TxK5p0OGPlXNRoEwLiFJ-laaOoTBgfyukyMVel2uORuVthRoBqSHb3EIsa6Ac2RpMZladMjZQkgDMnhVjlHoMAaLyQFmtxRgDhcGNiUUW09MtNwMOQTcCHjTAAsYQBwExBJ91KOjS6BePKi-mYSRYQdyhVWtJb9PcEUQS2A68fCANIJO5OylwIKwaA0m8rGasipMu_7T-FWiTpdEyJ2ws1mtTDqYYGFGYIJI1fTtPhVTNdlreYRuHh7SbyPCi_0enShuszPsppi1OGu0mxjiynrChsJLpthXAsOpxoxuYUrU7aaRDQ4i11nVuG-sOMnmOVYuHpC5LgRwFUzU6jg03iJxusM8ogS12GxI2Q40Q4_SbcFXV1Opkkw6RHso2j6zg1omAdkZI3qP8tzg-JuG8o3GLqKpc8AwIGyxatJTOsXJMIsaaLtdiBqASa0FRpJBPaORZaSpOJc0mQREid1llbppDiARjKt6WetbGO1B0iDlIudqVC1whrg0-Mwq1SvcXO1MAsIJxKyzjLV1QZGq3GFLEv7IAII06jGBssJTMIOm-Akb07RpIh0tIwFrNClw1RYlZsDAxtqMbpmgtBttOyYErgsNpIHwoM06mwbjZGoakfTfe4PCnqkf_mTMGNgngmXenIKt8TQF9JJAWdxNLVdpNgNO5UvamaWOtkeE7naVzIa7SBEXmFqdop2vMkyc4VDtBLwTcLpxRvoNcDMAtAsEtI572MfcCw-mfymK5riGzqtMKjX0zXOpy3JyrqXp6XTjSJIAdsVdcJWii8klsyW2CrWq6Zl308hGZ0z1mQZN2gXBCmJZqDKjWvjQAfChipqktggj4wmN8ZtZawL2kyXA7KL-NnZWHQ1zZ0GbFVqaXqH6hO2_lRrxkcYZJEEGUikqh5dBE734WbFZ3kvdBBOw8LCJvYIGB5CDmmYM2G6AtJLMXOUBOoC_dGwMIokyAYuL3OEaKSbHJ3RmrF5LZ4GFLNVzb3AA91PGRY8gaTncK7qqF2kAgfCWauFrEOOxIwmYYDCdN5JjYqKLX31CQoKB4GB5Woh2vvcECd1VUe8hogWPCmDHU73XHymM0Q3SBADRCxIY6NUK-DoibXWpTFKbg4RAvnypnZishlgAVpohsW6vss0EnMG0rOodjXEnjgpKG06RqiOVFG-okuIEYURWidZG5aEqtlJoddw7hgrGoUOIqQSLbKzpI00tQgSXHnwukaaw7S6Gg-6upa1ahpvc-N1uM-oVr5ZE5i6lh4mRDY1W4hTtNdTJpzpsNlDdqoJqQDYxfyq3rvRDJBJJGI2WoJ1C7SGnCzYOBgNk3UkTcOAA3e-StYlok5EeRsqsZeoPeTudjdSqzOERck_ZZVWnUGkBxjwiLMvE9wHKmEWa_WyRYpjUIaZc4uHYReSoVRgAcTMHnlEFw09zWlX0cXAtsInZFgM7N9IEkhVK76rieQQppqZ1A2M7yoGa6RuOEF2dosbm6houd_l3kiflZXRFmyJHnMqMjqBdE-1lV0wPJBJRp3qQZI0naDZDw5cGwYBEI1pJLTJcY4AUpp3HT9M4mwSU8cxpfIv5JS9rFQNDbQeOVkM0Bm-_K1RakdRjZMXWikSXQ6IncJjWg4QYkBMNEu7JMudMAjAWagHF_qxKGGY9ogEgkbqM4qyq36gTfKmCp6gaQQYmxEK4uIEy8cfhMMK6oBqaXW2UWHBALGggkj7KtarTcWNJvM8qw1xqEiSIOwJUzGHNE3gRfCiELwSA10mYhAxc6bG5yCg0N1BpdfRiFdFabZ3thNWKA6ZaMDlVbV6RkXGkCAh6oxus5J21BXGTRDe7ItZXAry5pMi5GVPo7VEB2NylCMvUF4CgYnukw8KLBI1XnAECPyr4hWOcxvaScCYyEWH0BrsEE2nJWUqrZa3SgL3gAQB5stAB5IgwLG0oKUgA12o2z8KX0FrwHXEQJVoYHWDYuvup2Fs42AaqA-WuEEEG0pozPl7yM6jlMXHFgBGo7cKYiP0mcOclLUy0wYJ_usxSGXECLedkRzoYO3JygV0kNESByigxsTMTlZ1khvJEE8Era24AfIMC_hEgCoZzpPB3KMheC4mYyVuC1IknUCQ0LRmnIO26lah2t0mYssqq1pgQIJ8oumHdJLTp2PlSmukNe2bTsszopnPdEXk7TshirHlxkYFimB6Zgzi0lTEUDrm5PwpQ-8taTNzFlIATFoLieMBUUA7e4A7hT1rDl5cy12kJamOY8s7SZbtdRcFr2-pneBAwo1jax5giQ6BhGp0tTkn-T_ZStNFN7mtbPzK5irKxzk5BOArgrSrlhuJ2ys4uNHqB0AmIyAsmKU63p3JUxrxYObUgBwIPA3UnRKwde30yCLhxXPk1uMNRwdqEX2Oy53pT0Xlz5s3kws-tcXoU3gUiQcrFjSWohxtcHJUVSg0xqdcHabqxpVrwXEZjhaVznnSdBkjZEZqhfEt-lwv7rKV9B_TfR_o7KwrdfUNrwN_C3Jx__Ulq_wDVP9Rf03-odNWHQ9DdjdLXEKz8Jeoxj_KesaC5zogbAhdJWPrz3NDahJECPumjNWe2JazuBsq5M51k9rDHhVqcsflsEG4gkeV9o_AM2XCSTnZalcuU7bOnPpiQ6JKn1G1laacRN7EoRRtUttJVxCuql51SQVuIdhdAkk7XWkqzRBaJl3ChBJIqHugBKxatRqNZDTa6yilVzxTH-grbTqZ1jgDhZayKSA0XtOxW4h2jWJBx42S3GKpTp6iAMcpLqUB_lvkCTM-y0rQ4-oAQdTh-FEIKIcDeHKlpy8ub33gLRKSdbbuhzdyqqbh6gN4jflYGMjU7OD9K00BdLhgFuyJi1K7Zi5KiY4VS0A4GLqqcVXODZd-FfUOQHOJmHH7J4O1AtzrOxmEgDCQQXK4ulqNAPcYssqnUplrXBo7cgqxkAYIO0QZTTVe0xG2EX1Mnc-wsoq1GWiciDIV1MEAMdEdp_C0kXYQXzP058rF6L6cP1gWAdueES7IDSGiSCYydlcPR1SSIEbQlMyOde9nHgLFI87qaJc90kiUjWIAEDBNohWqW7jFiedgsg02Frpm34VqX1OtMOGoFvHClWdvIrl4cLnTKmNF16wTNt1cMR6t2prQL-OEV576vpBwNlz_tuQ9GXkvBnwty6ZjXRMsAcfPsrUp3Pg2JJVZUpuDmC9jm11zSVamYlphtsrVSqhw0gCx_JTUbKFTX2uAPwtCraZfplwCKGo02huwmIyVYzXUyHTMifwnrJ_reBNhZZwE1PpbJBAyrjULUuw6jA_lRrWJ31Yiym4muNXS24lNQuuWkiw2hWE9K4h0HwioVA6DGrGIQYKv1WG1wixnqjVBhDEQIxJlVHPLtM_ko0hUc3TYxAkrlWnn1Kmp3BXNXUwXONpm6xykandBze8W3wst4R7iIEwSpJpaVtWRBElSxlRtyCfsq1Gim64kCFlW5gBbIMkWhbjPJxs4Nu0Znlbc1KMFwcXdpWlnTXRqw631T-FXTdbKUky0yPBTV9axUBcBNsFRnytFDDhqkbThK1F2AOAZIEDjKkEXUu0wCSPhUGQx1xJIvwpQhbrgtgRdRdkPRs64Mk3HCL62aATJ-FgLpBIaWgnMqUTqU_Te4Zb7LO6SI9QBSaZOcQLrUXxGm-BcXPOVTVWhznRbSApi-tFL_ACwO6ZClMWDocREbYUQRFM2MneOFNWdrNAbmSE1dO1-gwbNlQtPS7nCRImLGxUjKhBNoiLSVvUAVDcEWAwCsh6VU1BaAJmVhY00y1tziRlV1VfLzqBgApqJV4dSdpAPvlQYw2TAhzsLWBngsF7D-Vkwl3U7uDeTvCVlmqt9Nh0wBmTujLzKry1xDSYwpbjtCVaurmVytK5lUgjkrUWdNXTVQzYHg8rUXWp81gTAAzE2V0Z3ODLEAgYWajSwtDGktF7wFM1VXAinY3O4W40Ipw7OyoNVwpmRgC3lc9TUuo1VLgdo4KVNIXdozIG1oXPETYx1OoIm4W54qjaYcTMh3MrWrAeyJuPC51QpAtc1ztsqC-oGdiVoSqPJjVbTb3UwZqkNEAkTmy531dTbU02diMbLUXQe2D4dcwqaJptdgyDeSiEa5odew5Wahasl1iNOEkyBWtcO7UIwm6qmqLDHKqHDRaZg8bqrFWuDYJaSZ3WoY303xTnb-FTU6tUOOoNBBm8LXiEc53b2ANHG6DT01YsIYZg7z_Ko9EVu0AkiTERhWufOfpooO0tDpAvnwo5Y0epq03WlCtVljmm3tuq1WFsapBMjkLFYUdUNrnyFkhBUAe5t5TXaIuES438hWNRJ7fUfaxiTGFro-lqtLLEmYwsX1UXOLGw6x-6CReGQYN-VippKgL3do0g3AmyilaQ0wQASgqCwN7b8mEXwpfY2FsIupObpbPPCKdzg0NBEA8IlE1AR3CDGUTTMPaLfKz6gEua6d1oXnU3uBvujZHgN8eSixze0k_lTxKIjMiFAYBjVbyrEVaQ3JtwqWias5twhEajRYxBGUMBhFSBcu4WbAwJBk4S9qDpdcR5hIjg06pBgcK6iuuNpVaA9xDibRdZFKcOFzOyxyZUYQHENHhJFjqrwSYIG0BZs7QCbXBM5stKdrjo1Fttis6mqtqukHgYmyhq7RqIJ-QMrWmtjagY0C0YstRpam8NGZBylZsaKbxcAwDgrUZkx1YFriQd8haKkx2lxk6hwSojnAER9R4KgAd2tbIkXuri9tIcdGoidVp4VbiLibyLHdClkXiI2lRzHUXmLGUlQzQRLRBG83ValTqBotYW3Wa36xvMkib4uoo0xqu7tItCS6LU36WcFBRtUgASJ5CBmfUZNsSSsrouIc3t-ZTUFjjkntWgQASSJIyhoPMuAi17lTABU0kNa4grNiFeTM3IOQmGH-rft2KiydKF_YSCfcBA7e6Dl0XKga0aZgi8K6uJudEQcKIYVGltiNWwTxokTyCiYYVhYRiyKoJd-76TnlQM0m-XSjVA1WlxzPATCKsq9pEHWmKZrtbyTYZgBUUbqiSDGBCCjKzmW2WmdUDy7JxmNvZYv6dIbUGt7SczCgXU4CTJUHSAeAiKMcTti6YQwkgXIO6NOycmEQju62qCMIijWHRc6pPCsWVQNLbkbYVw0jjqAJN8qeM6oKgLQdwMcLMUC2Lzm4lVHMqCwJDr3gYQaGVATa7d0Fxc42sVkMxxLcgqi9KrpOZWsVpYTYjfMLSLB3a8iAY4QZXSZkOgHlMYtdGog3iIiFMWUAQGjTjBspWlKZ0Ag77DZRXPe6Gie0HASpSNd2fU6c_Kms_l2q2o5t5vOExpQ1y5jiW3HKYBTe0klriATEeVQHjS8YmDJhB3qt0xBJnDgnwM0ERNsmFnRYHTYzbhbADjcAkeFAsd5YHEmLwghVBY7SJuchEI4zZ3bIsTsikPd3QLWglBN4dkHGfKYFc-HOgAyLQZUwTnWIIEgYUBEN5xaVAAS4GePhTDGd_IHggKpXNPaDE7lHOlLtUH9wwmLFGiWHUukUWmwA-_K0LU9zNtgVKqjJMB3KyavTdIAkAFPrUO5wDS2LbQs0LpcW6pQPAc06oITV1Sm8FsEZthWpexc7SO6IxZQMHaYubk-0KWB2u1byMXKmYOBGoGD5upbjUXLjJvE7qJSvBa6AbcKo5t4bJJxbdStRVrTJafa2VlrV6bzEwOFrCXWim8lxIFxe5WG5VmGZMQXHBKziqucATMzwCqDTrN1NgeSHLA103AvndPVVBlncSVlVKb-4N7ZzZSsw1UNqWeIacbwpymxqevF6lvpOiYYZuvPZ3jpOgpVgCDcDdYzDW-lUAIaDqJHwVLGod7g0X7jNgVMa1wcGkTed5TxqVam5zmRsmp9TqmDpBEcjZVpJ9bSQRA0jYpjLzqvWvIc0usTJKuHTHU6gtdpD4B_aMJl-MXkw9W8VDAJc5uy3Ixbjzq7u1-8Wlbw-MDzEwSX8cqyOST3uB3b4lawfllkze97L69-ErSqBh4BP7brc7Sz9tFJ5dLhDpVnTnY30xLdPsVWZClxx-AukZcydTBOkEWVVra3VeYEZRFaQIhxAva6A6CRBkeZWaxTMeBEyADE7p9RoqCabSZIFxKcugG9puOw3ynvbcuKtI9KGix2VlZtOyAD3H2KudsiH-naSR7rQo3TVbYkAYRT3YHH5yiHbUMEOFwqCG6R3ETkRhXQj2OfewEzAV0LoaRa_g2hZLcZqzS1xMQQtNS6zuEy7dFWpsIuETTBsDN0U7JcHOF_CsTBY0lpkkk7qshpOoREjMqeGVQMcRYAk5TYGdD3EqLOkS0OEnP4KIlpmxmZuQgtTGqYxyCoulLbkz3DCrR6TrEExKusgZYQYicmVdXFWXOoydR3F1OqmqPkuNsbBIhm7HJndRVCJdpwCJuFmibtMQGyOZ3Q15vVSXO1Ei02UZvNOJeS2WjaVpZQdTIcABY5hMb0oqFgDZtcdwUROowmlYiCeEV5HXtc0aDYDecqDHRrNIM_twizslVxJcJvwpa1IwV3NbLZzuubvx8aOnANOJJ3WpXOrvmm1sYHK1rNirarHNDQTMZVZaGkMY0uMkBSwhBXl5g2KJWik9rwBMmM8KI00e02JHutaNlOo40tNozKoAEnUewHi6iVQAOadI-SkZNSaIk_tz5VqoVnObUiwGSUWRN1U1Ref91FSe0uFpn8LFZqT5Nip9QzBdoiIW9WKBgOPypW2Sq1xENuquMlWmW7XVTxlqnthtziENRiYE4RC1JgjjymjE58GBgjKxjTO6mCR7yuVbFjtBn4tuud7ahXTMgfBUdEnNLoJwN908ZpYgtMi_Ceou0Axxys40swG1rTlBpoth_nxhdI505BdEdoHCqL04kAER5WoLjtlxB4hNdOMaqdQsjS4TG6NXpppVdQJJg8LWOVrQx0MGJzZTG5VKVYgls5yTsrUtMXl7gQL76Sskpe2lJAMn8I1bg0SHEzfZSs-1o0w7kgQFHU9OrIGoRF1mhw4GXEFsrPqxKrUJcSHEf3TF1F721iQ4HVxOFURZRl1ptupaZqtMlrjb3laXFi--rYCIhSxd_a7e6m4gklZN_RWg6uCs0mtDC7u3BTEswxOo6TYflMZNRZdzZvtKgobk6ibYhQCo1xfpibTKoqynoqTcxuFMbirqkvLXHUSbCFlrs4bEAkRFxKKSpWEFrQC4GwQJRaWOAc0XutaGqt7gDdpwVIlRBDSYy7eFarNX0wTOSspPa8qqYqm4jK58proz1nkRp7lzaUokvYIN5XTj4zWrp3NDANN53Wk1raQGAg-_sqkukfbYAZBKjUM0B7G6buFrKydtLkkNDb2WqCw6GyCSScHYKCnpbkkQueJjOSGgvwTkFKylTqOqOwDul6gDbkuvOMrNugh4AgC8ZVxsS5xa0WI3WA4ZYEgDUYF1YKtqNe7GAtUTrUQSDJlS-DEXaahBscBYsA1STFweFmdA1b0gBc8BbEm1JfclomA1ATS9S8mOFN6AqBzXAAgWwQsrHOIkNyPqlJFwzS0gsJvNgqyDYAuILsgLSqgAwTgbKw1uaxzqbZiOVrzxCEAO-qW-yu6E0lgId9OyQVbJ7gcrQ9KnqOgE5dEFGbGtr2tAcTixPKOOVTVJIIieFTZhqlRoAGCQomWsznOkGw1WklSrZXPDyDBBJtCyvHjUqtTS7ORAR1wtTvcSLWmBiVY0H_twLSVpCdSSWyPq8borOCTTEZOxF1mpU_T0kyJPEyFispCHTb2SzGoI-nVIEZUUXOJYL2mbBFKZYN5O6IQOIEl1-EWCBqzeVKoiBebhVkHVXPNgDKzYCyS-Sf9loPrGZlGtc-oHYgE7FAaYOCSB4WVEuAEGBtC0LGHRpPhAHXEZ9lEot2GB5QjnNGkiVVQ0kOkGI33QWY71RYx4WKOLTTEEyPKSoZp1N4O0KfWVGtmxXRor-10zG0LFo6_bF_Cz6hqZdOACTcytWr4pMQbQM2VpXOa6THPK5YYbLZGBklX8amLU2ax_dTDGtgloH2KmYKBowDf-V0jSzW-nokzOyqL03EEmYCqaqSXmXn2V1J2z1GtaYN1Q5Ie0F1rbIuOEjIjhFWY8FkS2QkRI9jxN9xCK4NEXEk3n-yM5oN3uFMTDtMNufjlVMR6i7CJ-Bus10YvpAkrNUWm5BJF5JUnQtTBebG20rWooWzABAi6zo71YI58hXFcC4BswBulgBfrMGwGIVgqxx0g_CAAZBxfCCZqSRG26B51NBBPus_U-mYdIECB-SjWrMqA4vsQs1HOdoME3NoCnSEL9AETG_KLp2vbUENtHhAHN0tkGATgKz-103raQZj3hKSl0x9YibgpVWDXEAAbc2UBBAGNVrnhL01QonvEAWyrEghuok3BC00qxpBiMDKxRdoAbYm2ysFGCRJ-VLUwWtg2knlZVQSSBN4j2VAMtJi5HKoJlzSQJHhZgppkEkEHFilixwbqdNp8lRVWtntJAJxdE0D9RENluISlPRdqAgyNirEK8wbybrQGXk3IFgBlSqFR-rSZIWIgisHk-MRyqBrm1r8qilL6jPaDYyk7GrXeDbAlMwVEOaIE3soKNaW1ImZSUa2uc2IAsthmO1sdIk4VA0gam85CiACZAOxwi4Al9zjhYuhi6JajNdDWs7nWdiMhZT1I0yO6CRujPh6dQHIPvC06QxaX5wcrKlksMkR5iVoUZU1CZcGxmAnwNTa39pkkWU0vSlOrG0CSJKjP5GLpaTFhZaWU9nN5ixSqSNA0i0cKDPUOgkOkz-AqFcy7JmI4wgg5oOLz-5SjmkSAB7qwJ9Yid-MIA1vcQSRB4UwANMGCAZyVArqd5NuLq-DO90gQ7OCAozeoP1HS4Rp_07-UjHrm09Wo2thK1jmktfEZ3XSDSwYJNuDZUUa7vBdF7BSzQKoLSXdxAFrKZgtSOqmLcWyo3FXu0NsLHCyEa4uN7DkFF6P9IbcE-UQwA1-CeVoVABcRAACQO3S1obcE35QNENt8LHvoRpc0k78LF9FaTyRNgdynoXW5oJ3mxVApnS7SHZKzi6swOJJwfdNNXEBvkCwK0XapQqBrz_5KldJWgEMvqkgSi6sytAa0xlc_8WU1MggyDpzClmq0se7yPhZ8Q9OoJ0uLjPCNS4tTYC2bkpUNUqem4wA4cDZZ-NeV4letrJc0y6ZiF5762NB4MtHPcsDXRqANAyNlmtxZ7iDbEZRM0t7ayIkLP1uL9PU-puZFlTBqQO1wJOxCjUYuqcGgtgj33VlrOvPrnvgS2crTFZq4aP3Wx5VZY6jbkHB4SVn6ydQYa4ONxZb1r484gtEEi-8LcYxnc0tMC_uVvWcfls2yCAOF9dH4RmB1Q4AOZWjl400asOgzA4C1I4630aoLZha_FLdEHEBaxBg6jkbINFLqBTI13VZrQ0kkukE-yhhn1oaHFok7cJi46mA5uqJm0Je2cWe4UW-SIk7LXxMRZUa-SASDYlc70y0U4LjqgDAjhJQ7gWi0ySus7g5ztRMG4thUXojU2DsoLPMhwc22PhUdTfDi2Cd0HOaXOsDEqA-qNLgR2j9wEIJ-oA6x02ytYvX0lQ3LyQZVJnxOmGnWXCZxdRTQNQEdvhVkzmiC4jjdFgEQ4logH7I0ZrTZwsOAjJpaJsb7org_YfchRDeoNDnEYVX6yOdrO3wpqX12uIDbzfhRHFwcABIjgwFoPBAIgxZF07SWiRcLNL05rjNtRVNGSCNMgjcqyIcg2bu7cpIpqZOpoLY_bndBaNAiNRGCsifUEk2bj7Ijz6rHTF43HKuMfiWrqADRI90xuTCjiZIVWwrDoa6b33UvZE3PcyXWjhRp53WsaWaiZIWarxOpiZb_APSzbkanpC4ta0u-pY1tieS9xJiMrO4suNvSuNFsOME4W_msruqCqQHfdakUxhpbBkbLUiLlo3mwwlYCm6YGmFUqtIkvDScypSNTKhY4CAc5UXGinVcwgEGCAYRlWoC84gHaVYHo1S0hpAEWW2VdbXFs2G6LEqrbgkDGVFRpiTMyoKvYYlZwZalGDMW91L0zRonhsOSI1-l26rTOFW4w1iGl1kxp51d0G0iVpGWdOc5wiIVnAzb7IMz6mwmRlZajLWfGTANsIqTJJ8rjWlGtFlityBIaCb_7LLaFU3Bm6Ri1F7LSTeLLbnpmEsgSYUWN_TsgREb2WV1qp4FifK2KtEGGjVuVcRVsUwbFx4hGpNWY5pBkn5Tx1ilM6Xm_wtJyixeSJFiprn-C1OHEzJJHKupmLsfLYxH5TUsVom9zYJutcYBcKj4JmN1Gr2tSikdRsCMDZFxdrgTEH3UxqGa0Q8C_uViqcMlrSQeCZlZEqo1CODmFfoyua5tQiLf6uUHAuBEWHi6zVONQnSPcq-nYkOcAbkRur0tWoFzA1tzqWak6PVcAYwZ2UXT03FxBFmjlKjQ8kkEAGIlEWY6Y0iHTAlYoYAubLreCprUghrSCNN8Sq1DNYXE4yq3IqBqk3FwOAhY7qKkWAki1lhEmVC541NE8lBbQTPbDeJWkpDNMwMeLoes1Z5a0A9wmJ4Qrz64gxm9lgnrLVbpkkCZ3WLXSIPLRNt4XKtOokB27uPC3xP7bOnZIGq2d10Ys1e7ACHdptYLSZ-PYadZnbcgo1P2qKopB7WggyAi6q0guBFh_3YQ1am0hrSZgWFkUtSoXOO4-yyzL0k68AQAdpUxE9QDXAxOApSJhuogbKdLIqG9ukSTwkjQBoIgEgjkJZA4a4dv1ReQkgctDWzeGrQnXrAtiCJ5UsGJ1zIbg7lcwgpt02mdhOVkM0FukNtF4WgHsOkRBMzhXNgJGlktPusZRNz5c0g7bqLHB3qC2ZVaCDTuRJ2Wmao1w0Afu8ohqU_T90G-m54pNafq2MbLcDPdLLmQEGeSYi03lBWiWE6bk7LQ30GO0C8g7FBo76QJkYsUcrKq2qWtEON8IxshXOkyIMWjK1rUqdatYAdodIUsb5-Y4PDNMDbJKzjnOWUHPc7W4sAA3THaXWdxAduJ3lVVg2YcbxYmN1QXDVOpuBkKCFV3eWgbA_CzUqJYKphvaNwN1mss5p6fYZCvrUIyl6jp2H5UU5cGv0gzvCg6o0ETBmUExm6LFddoIvtCjQugtyAeOU8TCDJAEKysgNTgPdAS1rXO7jPHlSgBh1WH3SC4hoySN0xYBY05tJmVWjepAMbXJUwFrmmDzwmClnOO1rSl6Z8cGQJnPKkqpPgSR91pVKdhqNyRlYHPJcwSb7KYxSsdLQHXKLijZ1Tn3W_iiDBmJMrGK5tySLXwqh29jgbQTgIpxYbHwVEAgaTkqqN51G5PlMGmmCWuvYrI1UWERKeorJY8BwzutKpTLjE2AvBygvq7JjuiyMOa-AYsVYeELjJEX8rSx0k3nFrLWKpTBe0WLZOVPqHY4tEQBO8KfVdUdJAkk-yFDSRiTGVYnhHMk2BB_lKsFriZkQfdRU67m-GnmVmoxP-qNlFKe58kmJi3CzWdamVcCHQDCuLhg7UDEfC52WJQNwdpxHK6TpYDnEujn-VVUa0CST3cKIMQdWq2yql1aRJscIFaQ6Yt4hEEVAwAGTfhZoIdI-qCOUVoYR2g3Ecrnb2za5wlsnEHfCkiyam5wIEfhbawaby0kgD4KUOa0ggm3hQwKdS8HewVXBc0uJlxA2CAirocZBg8K4G9QuO4ttcJjazQS0lwAng3WYxinTjSZzwrbizpRzyCQbg7KNOBOXOge-EFmANBIBdpsf90HMGkTMk7A4UwUBDf-4rQJcX2iJUZ1dhOnuwcWwjQEjuBOLoE1mcAfKwugXuIMmOEQaROo88pU8XYQ24PbuVO2ha6J34hbiJOcddjF5BlUK7cEiTg8LAUgteLXH5SijWQy4A8BTBVoLXQ61pmZlag0MggETCUVbaBcSZlQaKeMEkYA3QaKZ0GSe4bBbFjgGzvGIQEggybhAlQDVJEDhAGsAbJO2yxVFjjUuJtsjF7c9hZBJtkGFMJEidTtN8SVEzswa0QACBPKa14D28SN5JWlK2SG7XlTf0HY2XQYO8BUX1WlxgXAhZPXU5iDMHEjK0lmn0OFi6HHwpIkgTogk_YWKvjRalQF8wQNwNkHOOqmCfsgUm8k2FitaIvBpxsdligRr4M3utSdFKRJMC8qXRFzXaySQD91EpwTqvc-E8SJVXf_AKIUaTDTJ1fTseVDNK7gk5wFWc7N6oayduUaIXOAki2Y5XSM7q9F8EiPhVGgHTcCZQc0ibqVYuHgAjB_Cy0R7CASRaJWaOcwMptAPdyFYHZ2umA48KC7ILBAh24OyBm3d9WfEqwUnRGonVzCoIGq5hpWQkQ6XCI25UDgANxBm8JJgVzQ8iZtlTwEYEAxNoSdph2nuicKWSKrTOokExG6mrqzDBDonaeEqxX1gSM6R42WVW1NjUDbyrPG9VbBk-Nli1dUFQh-mRPupina57HA3jOVKNLXmmW6QSDvN1nYaz_qfUmmyREnhZ5dRr2vHqVNbdTZiJlcfXQ1F7qTxcGcwpZ0ljWK4IDQ4tMrniTY1USSwt1Z5KN-9KOAgjcEXKmNTro7HANgCdrrM7aF1QvbA_bkzlUYeocJcbkTlyrlvbz6hNR053kKiVaZGoX55RGPqKkjtECcKyJXnPeS4GLRfytwlZa1YOEiwG5W4lz4yOl73FrYE7lbYfl81WkAziLFfXPxIo0taNRsIXTi586sx5IJ-y39c8aKIcHG82wtMNALZaL2RVHVA25Drm3lQKGF7ZsJ5VZaaLzTyRdIvgVna3jRJO61iavQfpLRp0CbrFWjXfqEF15y3BWvjJW0AMwNQ3XP_XO1oB0Q2J2HC1J00s1-okFhBF10mQzDxJBwCcIKgEE-UMM1hm9wOEMVD22seFBx1ZBn2RBLg2kTd0qpbkSaZabRA4WmeNt9I9xLYGDsUbIwR26SSQUXTUnt_wBBAnYoh9IaZFwdkWBqJIdAJIujVAPdp0teCcox4OkiO6EbKTIEGM5QF5BaRuRHhXOmfrM9pY7J4ssHpWhwe_UdR2IKuCva9oB7TFpVQraxpNIJBRVqbxVbiBn3UpezBwxAxgFVHN0tAxfYIppc4uI7RM9yIs0sLQdXdm6NfDAOJuZm0BEwlcdmkf8A7s5UxGMvAMzLTYQMqidVxLXCwjnKKzsc7UJM_CmqMS25ib5ROlHHRTBN_ZS-Dxeq_wA57pBB_hYl_az9PJr0yw9154V6ajOWkNBJnwudlrcxnd2nTpLSd1jFWFwATPyukZWZSIi_wVuVdqgdpIkWlNVpbWBgRbeCkYDUSQWiALXVPWqnhrpEeFKH1aiYP4uoNtKoxsWNoWsQ57gYIImfZWRHMDtP1Eg7bqsLsdrdB35RYjVdpMiYFiClLetCgSAQGmScxZGmklrQdV7bGyiay9S20_kJUQpvIcRus2DYyrNMiTK01GOve5yoMfUtaYsbqjE9ukAXKZRnqU53glKsYqtI2xG5WKuEeJEG_K52tYyOOh-Z9gsqpTqYtI5Cxf6blA2MTHhZZ1KqwNhxuRsnEuItmp4W2MWaQ5lyJwsKvSkhpv8A7rWNPQohohsEWhUXaGgAAFaa_EzqgfLQdMnKjciLnG51Sq0enVIJ1W4lNGynUBaIsMnhZoZlYPe1sQOZWp0l7aGw20i52CrOA-uW76Y2UF-nrB13BxBsitEkgCzjsoLU2anSSW8poLi6mC6NXssVdWp1e0RMKK4uae0Tc3lFQLNbcwQbeUOkSCHW7TugrQOljjB1FCK1JIsdJ8ot_YUnFrtJcJIxClPVHAVBNrKLg036HgfuIRloYf8AMcTKiKMILwYEkT7LNFw1rqcC5zEYWGvTB4FotC1rWY5tQh7hqiMSMqa1qjGl-nVcAE3TTVNINMGDe9uOVAvohgEy4O4QO2CCCTqkrTOUrgTGpttUGUOzOpNqS21v9Kmq-f8A1JpoVoaewlQ4zGL1pI1dxAuSsXi6J1H7Ag3mFzrR2gGCbE_dIl8aKFRzobfkmF2jF1ta0DtLgQBMCyq8p0yVXODgGjQ2LnlEitFwLNbpF7TyprUbKTotEGQVV1Y1iY0m8xIQ1Ks12siQIREaTO2DjyEIqA0TETysNIVHAy0ZO6ziHc21uFom_U_oEAxe90U9KofU-mxwgqXg0zcAHLRlUSewT23CUZnsLXEyPYXXMSa-AABOnhZFmEMYZknBKBWySRBiMoJVQYGkgHyoJs-hxiYPKzQznhwDQYCLpdLqZFzxda1GknSLgkC0rWgD9u3lINbalxIBaLD3XSdJo1TqBJkAbIqegOuMETG6zfRTp36SIMTiUnbD0adeKggze84W420Fz3tEOBB3KuJkoscQ4EGB_CmMfj-3F5piPN4VxcRcdbi0Dab7KJzmqBstItEW5RyyjbIvtdK68ekajRBeM8G6R0CnV0AhxJn8K4HdUkk8WUE3w8AET7LNGd7gyWgE8kLGftKlqDXGSINvKp8SeSAW07wln1HUoc4Ei4WWjvfa0IOa8NFxebWRU3NkCTF7KRYZocG3M-YVUAINk_tg7nCmyMnwgno7AQYJWdBc7AyP7pq45tQsMEExtstHizarTH_kIakZkuNwTZEVp0jaQIygpqgxeTdS-KqHYdk-bLM6aK_6rzfZbAI0nMflYqOBOTeBsEpg0yCT2wYmUBJcPHFlpXPdqgcbrIZohmrG191rBzstGbzYqB41ATNlcDUjqbYkAcrNAgN1AXGxKkFW1DY4GLBMGujVqSSHH_ZZlZ1cEmW3ctaqjD6hFoc3crfStAEDYGFlii0CAAYHkLc6CF4a2Ik8qrAdpeyZgorqdQsi-obK1m1VhDtIjSsU04AuCZ8JGnFrZEXlULBbJkAYugB0t1aboM9YhxNpapU9ZXGfjnKypmEEYUod3_th3nCqlpuMgzA8p6zTNIBF7osEvLSkVSn3Nk52KBnG8RhGYm6Zvck5CNOwdwQcpgSq8jVaQCsXpnRpsgbDhSVV_UJEOOeCmSofXqcRt7KrCPGoyDpvYI1DFvxJSobcC0LJp21AXXElaxoXPJDiCCfwsggS0kz8K6GYzU3Vpmdk1dVa8SACbhLF07HDTbt_Kl7JXTDiLQc3RTiC6wsgcVCGwT8-EHU3OLjDr8INH0iZEHKDmkF8CAReU1MWa7_LExI3JRSA6hZ0ICbVG3nnhQF0OB3Kz2tIwkHkeCkRWm_bSYOVrJQWl1MwLAhTxr0rqgjaJ2VSu0uqODsNzCyirLCf4VgJuZP2WhVrQ1n0iZlS6KtIaBb28qUUFSZDbQJvsrIC2rD2uEkDBCvo1CoGiSQSRkbINVN4FKXECEwdrNU4P9lP7BeCIJOsbgJojJcMAX2WfoLDpmWuI_1cIm_Fqp1U5mRFlu9eDLoLXR8SsKcGDcSP-0youg54k5IGQUxABkk3tzuE7FqYgNcAJFoV9DuYA0EGwJMLKY71BTfDuMLQu6wPKqyOvF8FQZzTDnnNz90CMOlxkwcXukJYVjiXGLxuRZVei1DD_bf-yIUkEggXRimNW0YPIRZUBUN3XvgqGuvMlxPM7qVNScQM83lRrS1JgzDpxHC1i65jWvvgjJTFBwJgwDwAo52iwudO_lWWQ0BqZU99xhag1sdqEXmObIGY0NgSYm-8JdU74YCT7LGml1F4zbcSpTTzLYMSAhpqZcC7IBEq-rKqBLWwIB_Kvi7FGQ3UA3EKaGFUEHSZPunbMtLUJIMgz4UaGXPu5pBG_hBRjgAY-FKFc4OdwOVi6AJFgLWyroZvIcsijHaSJg3RY0NOoCJBJVNUa3UOPdZaUn05ESFRWlU0uaGiIyTiFnNWRZrx6ZE5MSVbHRek0BhPiZBXOiju-CDpI-6wmPP_AFCq1oaDc7rnyWMJIgR2mIAC5t7RpHTVgnS7OFdai7HA1TvGSs0a6b5c0GBNwsxYu-q5xMgmcK3x0Br7gk6rWlZgNWqHUzZuuPspSsNarIElXHPqXWH1JJEkD2hXGbUy4kS68blawjLWIOB2mYQs159YTb9pCrCL2CI7dJ5yVoz9M7qbSSZI-F00x-VGtk5F19e_DVy3S4nK3Mc-cbenu1uoew5WnLttptGq2VdZGpdw0-xutHwWU9YE3jZRFS0MBDbj-FUIHFwElFaGsgAzDldQW3Ikm6itBc302kQBOAl8ZpQQ-QRLvO6wziokySPB8LpOumopSOlpIB0j8qqtTM2Jg5kjKEPrAk39lRRjy0XEOJj4UHBswb5iSiVSzDJkN5HKrJ3dxDo08-UY5TfCVwA2QQB7ZVi8eOM7ruL_AKvIGFrpsGlzCcu5JMKLguDWkuk-UZ-qU3RYtm2UaABjYgkki6siaR59Eggj4CVYRtYEmT3ZUD_UR3C3Kqac3aLiOAFRmrPaHRGdllUyQGgFoHuiGBFgLNFggLmNLmwLbwiZqoaRhpPF9kDtbpJsC4IsDeGmIzKLaprmLgTsEZM2J7WiT-Ea_tooukiPhXE1J4DpMxGCouMvUUixhGwuEZZ2GJF4KKoGkUgTkC5CwiFQNaJDfYlaXHMbrGl0OJII8JekZeu6YUmuLRcC5XKxt891I1xkcqxImyn2EXk4Kvjcxj6knUQDjcrlfWtkaumpAsJBBdytTpFw3UTYEDlLWolJ12BiUnYqx2oG07rXbkowy9wgtK0saWO0kAkWwpV9WpNh2qLFSMqX1Emx5XSDQCSARJCqVQHSJIvyEZVntMRMfU5Zl7ESQXajLrXQCXM7mkz4RrejioHgGb8FS1ktQ9gED2Ul1WcEB8-FoaG6dMg_8JrcY-sf_mCRE7wquMldxmJ-UxKkWCJGSqjPUYQ74WVjE8QbiwWOU10Zq8QdNrrnYMzqTjEZ3WbQANIkWWQS7FvuuYQtDxEwTurFFolpGI5UsbkgtpAkEQPCumRsoCCJtCsRsB1E-8-VpuBeLOJHlLWtIHFroEEThNTVmwWGQcqaakxwcwaocINwqmrUHGAP24uU01oAbTfJzFrbqyhtTjMkt9lQpmZJ1e6NY20nw1oLrfwsmRt6dzXwMkYIytMtLH6b6TPCzcWONnGGzO0rNUzHWs0zwCoM76jw8Ek22WsTtzqhpiNvKyqcS7VMFShw4vdaHDwkai7SA3kjMqihlpBEOBNwNlKp6el7SYNis_QgaHPF9QVZxqpAvEgRwFgUpg6wXWtKIvrcx0AXAvCZG-LrPbgg8TspjUotiqdR82ITFKHlzgJMDMLKVrbpbTztlFGm8BxBJzYjCtT_AAxBZUJGInuViaGokS5siIlU1B_UilqDQAYzKzVjwupYahLiZucLNajGWkNAvA8KWtTsjmF0ucABhc1E6Wu8cqxO2rp6gpnTExMOC1t1WyiG1WkGCSts-pdUXU7kFrTshJhQS7S2RpPnKzBqotxpJNhErS40EGm4hpHwgNQkkkgwd0NQ1Brr7bE4RdFx7nANkYtupV0vpsD8QMLmCZkFrcWWgpZ6kCxO6ocnSdOxEWUHaGtGdRKu5AKp7QAJcs6M1QaXEwcWjdZEG1dBuz4Uzoc9xBJNgdis6DpH1DfPhTsQc69pcJhXAKzfUBjYRAVWOp09IGxhEWbYQbnJErM6vYvR0uBiPAK0AQC8NnH4VgrTlogCD_5ddGTkf6ibYdKL2Q9tgJcLzKlVak9tVoDvqGIU49M410oI0GBp_K1jS7HloIA1Gd1tNVb3RcTuMIW6ZrLt7iebIynVbFQkP23RrtMOLnNySEZuHpkAXFxeFKuaBGrffACkaIKbhOHGbX2TQJsIETIMqJrnAaY0m2QmKzB-l7gYIdERss3sc4MIvubKYM7qfp3g5v5WWT4pTEXRpMtkRMQRYIOiAJN_KDmSWgltpWYH1BvPsqul1BzgWiFMqH0y0nadlYF3FkwDTYyZ4UqWGAtN44CvYJGJJ8BVVGNa0mbj8IsVAtIA8I0RznNMmBOyMi6oQ3dF0ReL4G5Q0cgAkEcBZs1Mdp7Zx_cIrhGCCJRTmWZWggeJwR4lZFHHsgflWDh2zAEjJ4U0cHObMY8pocZ3IUDE7EfdBWnAsDDSpdRobAI_0rPrHazZ0ZdbJCrUqlKoA8EnUeOPK2NgcX2xwr4gOLgHCQSbQtUxM6SRYSFG3aQRIvGyA0gNQBBg4UrnTsOkwdibhTWdOALkXnlI6aNmRH2hdMTSVTLu4AzchMCiwnSYWE7SqDtJDoVb1kcA8yLmM8rNIWSy5gHZRVJJv9XCo5ziy4EDhRBFyLGUUzA55ncWWbcRQ_5YsDwYVl1XNcXCzrDlVBawwTqjcIoPcTtH5Qc0bmCs2MgCHGwNvOVJ1AwcRgSAl6UzSXNIA85VUvqSIuVOwW1QCbwTYIC53DbRbypR1FxuTsququFhYtbwFk09EQYAAE5nZE1Zz9LCR25tyjRaRke_4V9DdzWwAJNxfKYvcNP7jJdgtCixXUWsI22lFNbSPpxsgE6KhLL8lUVFWbY4M5UHau7PmCUDmqHA_wBkDCqQQAPyrgprO952KB3Q-AOwDBUCVKcRA1RmLKXoNTMOJg3CSgucGNUsVJ0EwIaN_KIf1dcSdMbKQcKuPdUWZ1AnzsrBookVCR-4b7Khw1wBJuIjNgrMHNJBcJmEF2djQdMWsVBZpGSQSQrKlaaNMtN3WP5S3U9aWMaGzB332UkWELSZAcZCWKk2mNWQ1YBMj_5FUVDuQNQGPKbVReQ46SJByskIZbHb2jhVC6i-YnEoGadLi2TqxB2TUtVDg0tBERjymKewOotslikEuEk6rR5RFmOs5w-mI9lSdH7YsCQRMyoOIZ6ercDIU7GV25yMeStzpgmo3LZ08FaUrwXEndY-tOnQLNke6MEJHInN-FAtXYiQgk-ri9_OQlCOc1wu78LKVWGtbA5TVlKQBBgROEbBxySQBP2RyumbpHbIM8KDm0QGNlw9gFuWrFw3TpLcYstEUMRxyFSg_TUMZadzypilYQ0EOhpwSN1LEMIzlpssigcS4tnyCcKxYvqD4EQB9wlayOLYi50k3gZUkXCiGPPg7KizJcwkwWzjClCai2ZMiYTGphqdQiSMAp0KFukEzBiwXO9sp6y595Hyp0K0hNzcJYLGAIknhZFKTtitLi4sDMmMeyetOc7uxM7KYGZULtsWhXpuVVrgHEOxwd0rTVTI0wcG07jhY7TVpDRMC24U89V4nXu9SuSJjAXn5XtqEBA0ndouuVJ3U21CDDjJ5UW3G3p2scBHvAyp2s7VBGokG24ITFVL9TW6cDjK3Y6W9JmoXEAkjdZz9MygajWNMXfOAs2NW6jXcHgSQ0g3VjlGN7w_VfBgFUxB73Fp4CKnUIIiZEQI2RO2FwkHugBGbGeo0hgeHad5C2yQPc-4gfC1g_JrKsAQJHK-xfharRcXktmCTIKDaz_LsZtddp24cumjp6pqkA2j7rTLSCZ1BreFC-GpvgyDcXiEQzXFwjSQMWRcA5IAEG4jZVKuO49phw2OAgBlpDrmbQjNPrDc4NisoYPgETMi1lEaqT2u0DEC61GhMt3JM4C6YdtDGuMSYH8IKFgkAatXPKigC5s6885hA7ahAa0NgG8rbJhULgRkSpUc55DRAiT-4pIC0Ojmb-yqgQXA7cXQRi7dREyiU7SNN4AFoQxxJLdQAEZ8o1CPN4AAC1PEOwCL5J-FnRN1NrXmbSdgr0ZaaGhup1jFvKdGC91_p-yoz6C4F0XGVKsI4w4NdE77ws1lRrSCAM8DhTWjthgdMLQLHB5DWkutkIhnyyLb5O6NCWmZFyUZsCHOMQBBvG11cVX0y1rdJn5UPVAdLZ-mL2QwKtRtyAY4QqFV5e6DgWKMoNa5r4O-6JJg6zUOmYO8brOKlUEOEXmRBVikY4-p3WJwlC9c4_4c6myTuAs1p81Uc06g034UgyVatwNRtvwlVlqyZOw35XP-kaumcabRAAJvdWNxpaRkxbhdGwAbIuiO06ZgkF17JXOw7aZtJJJRGsRA1G_sstRakZgX-VGauDABgGTEwtS4CwllTTlo2W9StGo6pgAHZVlNjw6zubA7qYJ1H9-mwKzbh9E1Cdw07gLOhmvFiRPkLA5x1NNp9lueDI45Ji1lrVilOtoJnuAwFW4nVd6rgSIjZI30hVIDe6w5WkuMrqhMWHujDmnUeVBDrGyMaQldJWEsaRFiCOIhc-S6Q0QHG3mVxprJUMEfwmBajSwyZM7rIdjCWzErn21HemdMEQVK6OptJ3urqLtJAMjG61GK0UqoAG6WtQxrGQCIS-NDGlwcAiGfWDXgXjgFTU2O0BgAaLeU1pdh0iHiBNkFmuIfj2W-KW4rTLW3BLxvJwtVJy1Ko4mxEHKkb9UotJgjUADlKkmPT6R5juss1rGtp1aY2-r2WQHPawuvc4nhAvqRdpDSLaggWq0lrnFxd_3K6sSLQGgknSeVCo6tMgEQcSFmk9WpVNIsAmtNLH21Xk7ALSKvnR2xcovwWEwNR0i8Qs31I4gseJjlN6PrRSfDgZgDjdZLnxcXItJNsKMr05O14iFdb8dDRGohsWBCVcLSHcReBYrKxV7OGwPdMF2ABl4DY3usrbDNe1gGkggHdGNMWSBEyQtM653-XTJgGRNzZVqvM6u51AS4mINlmr5GCsS0C3MkLLc8YalQMeL4vHK51qdEeHOhwE7wVGtTZ_mgkC84V8o1UHlpuLELrGWzpSZIGw-6IPVtc5kG9kGXpwC-DA0YJUwbGPLBLRpB-VWpWgH1GgkH2CGj6hZBIsEREkXdu4TdZQzZDZLYbGxVadUIDSLkZkrOKAdL7mDGOUZ0Xu0iTDRGQrbpqLC5s7zYScKGma4tLgRIFpT00jiHDiMKYaRzoOc7hZ9aZ3RkmTyshNRJNyfZBVvmxhSiFT65ZPwkHB3cLx8Kd6sTcSf8ySCLKs1opOLmAQ1wdk7rNVRjtJLfvC2KMaGjGouuScqwVa4ub4tBW9HPqtb22JGAnsAm82BWbehRnBAPvlag00u8gN5W4PRaA5rgAdfhVcBlNznG0uB3KMYtbSNPde4lDxneIaTpAOrAKiy6MhoLouchTe2OSZIg2k2gJq8aZt2mwDkbK9gAIkNdOQifQ06mB0QRgKaYVt7EFtpkK6n1mrNLHCIMXWZ20iQdU_IAVTsBIGJG8qWRP9ECCdRkbkFZsaI55BMaTO8XUwCS9kQbbhMWCMcHCiG7SARYgws8gsltwAFONDtdGPstAgEun6VWo54JuBhFEAumMeUZoNlryIuRuiKio1pixbBKNQ5MAXA_lFL2vMZPJU1mkzgn2VQzGkuBCLFSwB3aSDss24ujzqtdWdxQdceRwpgVrnOaCVoK6RGCfdZwUaZFyDGyAsNsXWewwdNpyqHpuAAkxJwUDHJLgJU1KIBc6RteAEtGyiZ7fE3ysxlpaARY338reKBdpeOZ2Cqr06gh0gtcNgqlaCIF85BTUiJIcYOco1oDutEFTU0zCdI5U1hVncBjzCJ6YAE4gLUahn_9skey2eMtUEku23TTXAlriNRhSqSrINjpBVxYzVHBrrNJlc7qptbqOkjfdQWYNLY0xfJKoUkE6TjkKK7XpNhPuVNFWO-ozc7KcvGaJcSZIi9ypEdUeT5PK3GonrJcII9kU2u4MZtCAvqjSJIJOR8IE2tBnGyzYi7IIAiDvBRRLiIa2JwgQNdqABE8JR1Rg2Op07IhgC1uOLLOftT4GnM3KviUzSScmxuFJlIq55BMNkbAK43jgZGfuFNDB5gmPhQEvuMkDhajfpmvBkmw2IWcDl5OQS02VgOoEmBG0K4KB9huTlKDpuSd8HhZDGMOJ90HBmmJAbPG6CtBpuTtuVdDOqOLhLRYqCtM3NgBkIGc67hchBMOLXACFpPSVnEA3EHhZ08KTqb9WDlTpRBLmgWJifhTygkFrAAZETOVfQxdDdUEQJEKQaeleC4GwnYhaGtpLw0kQCMBAdPo1Ig3tKCzImJ3gakF6Q0xAkgbhEqzNRcJMf2VRobUMAm0bjlRdc6pDZkOMxJRSfSGwQ4zcrIZlyC7EKDie0OIiNlbehF94IM2UwLJAjGCgR40iALxYBSgUgS8EyZN4KTtMlbWt7NJN-St-tOaBAuTzCVA1kGwAdsZushmggxxsroc9thYEfZXAghpubYjZUKQGwZsTEYUYRqFzRJs6N1lS06oDiJnlVdOdLxabLPese1lJJBNpnhVTMk5AMK_E1OswNk5BWQrRpHdGnncLPdhTONrQ6DdUgtmTayNHqToiAENI0QfqBByjNXGkOEmwOQrEAuEgSb39lrxYYSB3dw5Vijlp84BVE3UyGxF1KlM1mmDJgZErJizJqggwflajSzC1w7zcb8qVofXM6QQIys_QSYPaZkbqhmuLSDIveEuDiybxm8Ss6vwWy0FxEBDTPJkbjlZqAH2MD7rMmh2SHOB4stirTqEY4lc_RWmbiYPkYVWKmoCdxI5V8dMJrMmTDSU-M1VriY2aRcrJFKRy1xkzwrW5rRRm8nfhZXGmSKePspVeHXq6apMg5sdl5OWa1CVNRDXbuzE3WKy4HPaROVF-K0DDpBhuJCNzprktdIjSTA5Q9PUfpB0kBuxV1pEV22GXE3CgD6gDTFyDBIQ8RrVIaZgTumIyNkudk2QF7bQLmeUGeq1onSJBOZQZX6XOJaGn8IlS6mnoDXBt4mJldpljFZtZaTpFplZtR-R23dm1l9k_CaaR0CTYotamOBBv8rfG45Xi1Umd2BbHst6xjSakkYjCsTDgaHAmImyrNDUH2BIDrkoKOMWbBkwYVxKqJa0EO8KYOc4k-Mg8K4jg4G_IT8UGk5zTe4U_FO2pjtQDiI8KZYTYqKguWmD5XTWpW2k9r72BAui0msgl0nKJrmvEzcyeFYmqNaW_SI4BVDDtqXmcojnAVDOY2QEVS0GCIdiUxXFpMgCSBlESY6XtDoBG0KVpQsEkG0nCK6nT1E6hKqeOrNEknuncIiZLWiJMEZIUxHTr3IOB_uquFZTJfufdGjQYtng8Kp0i6oAYEkuUVFjXSCIJyQVKyu15abCHKRRJMNkhovYrSDScGbjV4QkM4h_c0mxsRur0pPogOseZURSnUB1CI9wi-npPBeGyBGT4RFHvLxYdsLWGpvac391kqemCIwLgnfwiSpuaXkOFjuEV2jSG4IOUsEK73Ns0SoibWgAOmLbFVXVntdQfM6oiFitPlup7HODZtP1BZGV7hUEm1oMBNE4IgABw8rnZl0W6cASTvtK3HSKjtfqERwVtVXD1ALQBwEHWAkGXRuFmlaKT5hu8bBO6zYq1utwkgAZSJ4q0AwS72hWpa1NBJFrHEKINmu91nayAqS8gfErf5I4wDIvFitaEYZcZsVjkCJEyJvnlMOzP06uJGAs0TY0SQ6fhVrAdsP5SQZ6jgRZbUWkPzjmVWtRqDS9aZRdBdYWQcHtHAI4UoSoz1GmGkkmym_tdZarC2xF1Kai-TA_8lcvxXWapT0GZtG6xY3KlVaCCDKyEo2mZgLFb4nc-8C48rGa2UPtmyT-xoBGmy34jrgHaU9HAgixM7oqzqpewCI2RL4SnrIJAEzCvTnmtWotIgTaJUkdJ4drQRJPcTJCneqrMCTIOy6RztFr9JIEl52hWpDuJqG_a5oyFMdfi_T1NIsL8lL0sbKRBdnF7Keq0tfqxcpgd1VtbS0gN8RhKM9So2mSDjk4WAjOoDQBBLdz4TDQqPJsDN9lRKo7uloMC8rNSVSnULhMSG4myjTbTdvMHcAq6Lah-0zHKauiBrN_qAnwr8U37rgagPpKyzVGmHRYh3GyLI2tk02kyPIys4HY0xMnS4_KmNeneA0EkCCpqA10Em__AOiq0GsS6BZ34VVSdDWyRp91mM2dKsIJBG-5SOZj1I1FsxsIFytLEq_UG82EQEbxjq1dP1OHibqer0w1zNtIINyVm7Go8yo2XXJzlZvjRXVYbBkE2auaVNhhxjMKxP8AGmjUgiIPgro323sc5g2-FWb16s-qDShsSdyiflKxg6TLgGnwEVppFrzkzvZBqY9vpw1xtvujRKrXAmLGJRlB2uA43EC52WQ7SXs7fwr418dq0kS4jknZT00tP69ZzdMZHXNnN7jsngDWw4gaS7_SVMHVCYaZHspAj3gM07xhPWoUudpEgBwS_wBKzua3WZJxMBcvpPU_U09wxvOytX6s4io0EEgEWUUjbMDZEqspWDSM33U3sENJLZ-lQWYRB0nTe5STVw9OmGmXGZ3ldMQdUPabk4tuoLNDhFob5VZ1wcCwxBJOMK-VYEkuBw3Fwre1aaTfTgzJjByn1dWoPBqi8CcRddPEbadS_aDPBV6XTuYGhxBybhQtNRhoOm98RcI48trqull5BjeFn6nG4yuqx2ttunTNvZml0aiJ4g4T1uaIqWloBMwQVZHUtSJLQ3umxUqURWgCfp43Kiwj2BuJkmSriVNwbJsZ3WZMUr-xgO_jZaGc1QNU3l1ljknqZcYIIAGQsyETaAe4zFoWlVbDDcf_ACWaOdMj_u3KgPc2TDZ4XOhdZfMwAVqQEFoB3WgWC4BjmUDGs4SNMosUp6WkHfhGhqP5GNwjNKDkCZQgtcWnuvvEKVTuABBJIaQsoVpwRfNltFBeIEc2RYJIBM52sjWgH6hG-6ABukS4yd0QoIaDe-L2RXA9wJAQN2tLjIjhYFT3C0C0-6AMdLj_ANo_KA_ugZzdSCrBqGrxMjCiH1ickcEJiYvQgvAMyki40GwObYWlPTgnJnMpouxwYATF8pWL2s-o2Pe4lVlMtklwP2UNIKo1aRKhK4jUTq7Ywi2fpem8NbsLLU7SdCIdgkknhbkxVA6QI1Aq4UlSoHAyACpZfiYixxDyTZRY6tL7RLY2smqzVIMG9vws261EmAs4LSbeFFO10Au5MIgOIBwB4lDsvqOJAjfCzgY9pcceFbNBk3AmDe6SIcutIwq0BMAHKo4VJHCzWbXHSY1G_EIpA7S4G2d1BpIGnULTsp70QNV4mNwPK3iqNcHi4AKxQtQhtyM4IU0KKo1ZuQmCtN0NsPlWimoTBsczysyDtUxvC2C-p2gj_eVOgA4xa48pgZhB0tdAHgqus8cAJNoM85QWYdViSVBTWGuwPeEHahpsSQRkZWdBDoFx4F1AWEeoAZtsqNTDqGJIKBmuGSYvBHKIDmgHAJB3wij6zQYw77oC900ySSBN4QSpkjh3CqA8gg7FYqduZUtmOExYo18AAEGyvVUrKvfYaQmZ4DUOt0MgRykD0zJ1SfYKj06DRAJ1EQiU9R_qDtz52RRYSWyRYkQZQaKby0X_ACcoNrBDrOyNrha-J059WMEFwtCyyX1LEA6iLgypV0oqE3gi2VlqKNcXEHIFpQM0hpOq_CYEqPjEEQc2TBMvkFpGDjlAlR8tA1WFoQToPAdpA3sUxNa23iHfJV9MU1fylVwA7SSPYXQVEi8SZiNx5QMXB5IbMxK1sAeA6RqMgbIms2sPcR53UxlJ-o2PxfHhBz3NYW2hYsK6iXGQbeQncQtUAXBP_wAVfVLTdEuEEY9lYY50FsTbeyWMszzpBAvAUmRpVmktbIxeBus1FNTWgjBFwOD5WsEiS93khMXDdzDpcD8JYYcVHOdjt4UkTCgsFQGSRjwFv31YsCAHGZHhUFoiRHCBw9odEAzuUEqlciGAWPlZoqyu7SWtudypuAF8jOeE9VzHAn6rRwhOl2nVpaSATYGFd1vdc1rmskEEiyyipMSQJPKzZQ4DntkkHkBBN7ic6tI4CZqw1PUAS4guO5KZhVGvD5Ezx4VRTUWzYZ5WfxFmntg_hSzoTLtZ7W-eU9dJdMx5dG39lqz9M1dtQgjUSb_6VipFaVXu2Iymtzk2B0AaTG_CjWne8lmkEgjuMjZZza08bq2CnUtEm683Pjla_HpLVcGTAXKob1RtadlFUYdTTBF7ovi1OqS6CCfISkVe42JuDaTdGkHaS1p1XHGynilZULnQG2dulrNqtRgazu-5Q-MpDXVCTNt0IlUqiZmRuVU1krkhsTNzccImpN0wBtvOUSs_V19LSyLRAXSfpHnO6gzZp_8A3lLxuj8nscQQDaV9m_CaG_5hF7YUFWPgkBp0hak1Lyxt6auQIIj4XSyOe6oaxcIb-VqMVrpua5oB3vKuM4cNA2AHMoY6mdbw4xPlNVpAaJ0yTuFqVjSAQZAti6q-mFPt8qaCBDdvZT8mdVYcXv8AhWcmo1MadNwHeeE1mtNGADcmd0RN5Pqz-1AdHcQHGQZgrUDCoWmHZ5VDgmWgEckqaCxweLEWVNUa1r2EyGom6VoEHTJ90acWGO4AxiNlKKE9smbKw0GOkRIB5TE3QeA0GSCCMhBEAFkiQgj9DnCTE5V-NRZpmMjghRSzLtP0ja6JiVUEgDBzAFkUrIbDZHbmd1mxm9HDg8G5BG5CqabVqEAOdAxCq_DOBc-N4sURRjCGhpgB1_ZZ1S1aWgiCZjAViJuJaXHJBiJWoqlFpJkwLyqi5cNJG0yFVKKnbErAFVo_cTPACM1OdB7ebq1r4STTOki5-wTRCqzW0uBghNRJstaTA1eBZRqC9oFOReQsVXyXWmOoc0EyDeViKkwXHHAVXCPYA8EfZYvbUh-nbnUQBwFrj6q7GRqI4Ww4BgEE-yB9LheLDhZ0UpAuqtLhLtvC0LAFzSIm6lSzWhjZDbhRzVpEg906Z2VwUqMJb24F0yJiIJmSRHhSxlxaTfb3V3FKwAui9zupbqNB-kgws5qoPqabY91kQPUEnMDwuzUc6q4xJwi4Vga-eeEMMGlhtY-eFUI4hxJ5WhjrgarIOa3Tgg2QO1_bBudlkQqNDpAmFF9Zzcxgg5GFOlwr6MsAGN5XOxYyPplryDvwudWEe0ASN1zbiVS17YR0AEm4ELKL64fBsgBcTe33SKoBOSDKaGADADNygszQ0y2wP4VzpMVhpM8ZjdWdKekCTqINseFd0aKdIVLlxndJWPxM-kGuiZJvK0fi0CkCDNiOEbRqNIdGl08hFjZTqOgQDtIUqtNPS108KaDUMknccBQRa15JOAcAoAX6RJM7RCLIWu8OwIOLKFiJdYNMT4UtTAgtzOnhRW2iY1RY_wAoNVN7miCQrFkVcCRq4gSMBUM_SX6RqnBkqL9WpNi9mt25UbnHGyiW8-xCJkOKkEQCBJws1zvVO2mXjI05Uw2gWguOQbQZVdNTcGSYEHPsVhRZU1RqvGYErUSqF8NaRIIRzwQ3V3CfbhVZEa5LGhxuf5WbWqwmqSCXNvMWUXiRzwGOAyDCOkedVaWguAsVjkvLxDQ7VIIJj7LHrmf09TtVwDlIs9PSjQDECTK7R0a6L3EA2N4Hsq5clmODC3UIFzI3Uco6oPUram9rTkQjupSeCBhzRYnCDQCxsmJHEo1C1H6mgluL-ShUHuLhpF729lGXNeS7SfpCqme3ULjZRCkCl3XjHuoKsMsvGnZWjqrddPMDwsiPqO7QRBHOAilczG5OSEWJ1tRjtssXxUBqcbQ3nUFhYctvBIEZEZRTNcPRgAQMKQQcBpiQC5brJalLRcGflcxzCC7VqMntgKeBm1CDcXxJWpWl3EuYYiQbwtoOmzTBJ_7TCiKMLgGQccrcZxzh3SDdLNXwCSx0xstSKs2oXMtB4JyrmJVWP0tiD4gqkejT0-nLrmNlSiyodRnuO0IizSPTbBMzchC-JvaHHWTMFTHEkFztRwNlleM2mbUgkmCBsE8dpMKT6ZL7wfutyqm2STLhYYKlCMBe4RczccKIvNjzN01USILrmEEnguaQO3woIuotY2Tnwpmp4nVII1CZhSTDSMLoA2jELKqWJm4HJUCl0iBJJ5QFlUuEGy530I4aTDT2puBw2GyDYrcughrSCJgKgMMuJP0lRYoHho91WnB_aYMFGfoC7u76zwhTuHbONkQwcHdozuUFA10AGD7IuCwxYkycooupagTOBZCpFjhJGUTQs-zrO5lZqCWugzEHZSclgglsAxPhVowFjO6gIxxBsEDNmQ4mQTgBBRwLG8lAzHEcHwpiZaZo53OyqtNDSY_1cqUXLgG2JImZhXQ1OSCCb5Qc1svOZGDKJWvUTAwMK705ne8AWE8hERc0HujeIRfHA6zaQAUa07Zcc33JCRmtFKWzuunwO6Ae0EOyk8VlriHQPqzKGupjtM3J4WE1Oo8QBJIjBSmoF0Abzb2WV0roixAtlWtpGpp7ZluZUUtOpBLTccolOW3tHhCGLy1jrSd1VMGB5DQ8gTnlA9OdRGRO5UFDpOojfN1Rm-gmMebqM_RLpbciNoKL9c1mkEwHSMqKdkmACCB-ERVstM2ICfFMzJ_1TKz6Oqw5w42QIGt2MHYJqaZhIsSIHCnqqOdBFptAVgZri5p-mN1NADiI8bBANy3nYrSKUyQ0zBg5wjfGqtALJj5CNi5xaSN4-EHanZMEHhCmBBaJ-oWzZQFj_TloFvN5S-CrHF5gNmOVmQMCQdMkAXtlaxjezklv7ok7I271XYkat5Uo71dX_aRsojhV1WIhDXOLg6JgRuinBcg7tY27TJtCUdUMEwb8_wBlIA1oME9t8KirXA2OAcoGpPLDkQXZQb6LgBDyORCJVXkBx3jJVwijHMER9JH2Tw3FC9ogtEwLBRGmkdIFwXZ9ldQZNyW7zKmib3gPA0-c4RFGAZMDUMKNS4LKgDhqAHiVM1dO2pqvi4CeGlcMX1bKaqZfeT9W3uoJPLnCHEE-NlQWRIvqMn4VtsGtvewE94OJsmAtAcdJ2mzbpV6K15BvGVGLVHEi4_3Rdc2q4HtIJ9rLaaBcXm4E8AoiVSLtAMRtslAHcyCLZTRJpD2i87-yxoVtbTAuP5K3mwPUcSJcJdONkwcwgS6yBCC24mDglAjjNnNgcLFiVxJkZjCkiA6QAJmdoWtwGm9zZBkA87JK0pqlugy-2Qrum6XUfoFz42Wahi002AT5C1FPRDpDzN8zhUXqRcnuI2UolUFgSCIGyQSEu0mJabeyUFsU3i59xeyxQQ67ozFieElSqUwAxpsfKtFpDWzJkmymLFWvJ0kkW2hVtQd-QYO6loLnAcGBss-hXwYOHkbnKvg49o7RBmLoKt-mARI4UDk3jPsqG9Q2Db-FiwBsagJjeByrPFhzcEC4nCuqemS6zSARfN1Op6edrMqmO6LWxlYOmqnVAbyBZK3qoeDTIDocNydk-Na8XrajvXcNQLQY9l5OV7bhGHUA6PF91iwM1xJE8ZIWGsijHAtuLqwzVBAxMHMK1ZFHVSwADGAVkIagiIgngqWBBV9NwEEEG5TEqjtTyDqDhwteEI9kmPqTWmTqCAHaLgXiFEZKtYvvBcMkRCJWeq-A3i-dlY51nc0lsh2VuDFoBJs4X2XTYPysDrdO_hfXPwlgwRG_hXBRlOwAuCd1qa5cmhjCPptAuul7YM4HS2DIOISRfWihUGmHEg8HCtVcOtLSAVYzYowwe4_7qodrnF8AEB2wUjNjQxg0lxPf5OFVgPB9MO3iymFdTf2gh0OUsxnFmOEglu8Kz9K0UQXCzhHBVFh_lgBm-UBLAdIcZgbKgGYmZndAWuOn-_KvrBxVBaTtsCFZEoMGu8fKqq6e4bjhQXdoaAQPuUUrhLg4C0XRCzIs5s-UXoHQ5pkgEFFgPI0QYPtstJSAtacxp4UxAe3W5s7Kq4OE2ymBXMnS2b5Cg6s_IaLqFY6jzUc2TABkk2Rw5cr4Zkua6XBxN0Z9qtEOa0XJN8o7q03uJjA2UqrPdOlp7ib_ACpAlR8kiTPgreNfEiTJgw3IVZOWab5cRYhZaxRjnBwc7B8K6iTakkcZiPKiGc7XqJAJQgMgNMG7jhFB1CXAzJOL4V6WIuLwZLpF4AUEKb_2ut8IilYM9GG5IkLFi6-O_UqTv8Q5xMiYss5hLUA4w3S28o2NMavqi2PKy1GmjpgzzstxQYZc6DCovSEt7pKxyHBznGBud1LNFWt9O83klal0aWN1Mk-9rK1KdkA_V2_6Slc12kwf9I3CsWqBx0zxc-QqiDjrk_YLF9YKcWypPQ7IEEyCsjqv0-Sngx1nO0FovHKs9Eg-LWAXVuHmWgyFGgp_VGwuiRSqXGngwrEZnPgjngLQiO67oQOHQ2J0k7oJVHSVKBpJ9uFlqRItLXEo1jpLnb_KlVnrsLRET7LhYMtUzEW91ysVNptiOfKOkKRqAJM_CyQWgkT-VVO1wqOF_uqLN8gxys_RRsF3mc7LQo0NBJP5CaLNOqAbzeVNFqUCdtlcGlrW6rxItKsgb0yZEiMH2WgSNEBjT5IRaekZPf3DaeURVpEkeOclGzMcGOcCdMbKBw4kmSTMXbssfUJXqOa6GERsttE1FzHAQTO-yyrmMdBc4k_CCXpNyCJzErFShJZqIwbA5upMIvSqatIcYstYmNlN4fUAAmPhWRWikQWDkXlSpVKbe4BwlZpPWoBrmGHEYEFXXTTUWkYNzwiNNJxa-XYMYWWaoHaRIIndIhQQWkl0jEQmasB1NxbpaTyRCnToVvaAYsOLlbY-ldcucGyAudWnovFEEk2JiBwriIddXOiBc5ymRb48-nIgSAcuI4WW-PgOlpLhngK1vWWs90wLCFnEQBIBJ3-6wyDBoBnBOOFLFUpuIbiCDutztWim7URMETgrTF7VaDIzpntV-E4tNRpLQbhwwCMo0FIODgHQ9vsorQWtBgYx7IuxzgXCCbbFEScwtc0AzOLYRCB2ioO0mDfygd-gNBm52CCMuc8AOEDNkXDse1ohvccyCri45vUuDoeIBzayx0UXNYSC35TEKe0uOnti90nbRHyHSDqBGOFnkJVnFjRFiualc8unUQIuIWGkqD3OObKinUNbt2mPda9YSdqABGIiOVKEbVOqCYndZwF7wYGY4VkVWmGgEai1aRdgmdUycHAQFsAwLAnC0DUbeW2PJwtgwQ2XGTiVOkpmOBfIPgxZXxGmk4Ekk33P91VjdQv9JuchaVxHpl0C-0owoHGppMxtY48ocvBiCSRb_VsVlx8IKhMmZGLbJI7cZhGkEnu_2Sx0GpIvEmMpP7KlqOmN5uFcRRgJcXGZiDCuRqACNWo8JgRzSSXXk-ExMEMLsmZsbYWfDGeo3_TIYNk2MM7406eFn6sSAIPM2WKpg7t-VA12kNEnzwpocAhlgSJvJWLexzp0yBJ4hAZBAJEH-FrKELy6Ra_hXwMDGc4snqgTLTkHyENM6A2xE7wqji4TO_PCBw8wQMFA2sM3N0FaNQlx4_KsWGF3RMRylaVhrgARdZgWqwjZVGZzodJPwjLi-diTysfRzL6Tg7q1pZsAAzaCoo2BtYoAAATurAzXOc7OMFSiwbEEwSpBxJm5scQqL9OcEC552Uo0RJ1ONgEgdl8CfhVNOxul0bjPhE9aabtI9-FZHOQgcXuJJkC3cqpX2bm_hZ-oLHkDaeSFrGjsqFxzp5slLFmXdO435VVRxcIMZ3W_gSoXemIiZKmsouBDYFvI2XO0ReC0fucfsr6Yzu7qgnHCygVIgkgg7BV0iekOFsnyo0Ogi8gEIB3GScxhRFGAaLjuVUdV4BmMBAzGlxlxwNkSGe86QGk_ZFRL4FyQdzygAfqGe4bxZP7QGvd84wno0MdImIO_lZqVVjiWCQNOD5RoA4tNiAPdTEsFx1NviMrQEObJkEYFrhZxPRNQkA6bAx7pJjUg06s6ZuBkHKUNawNj4WQzWzEQ45OlWAhwBxjdAuXCO5puktFmulhEwRwJWm4cPlom82sjTv2mEDUoLjJPbeBuUTXVJLru7c4wp9U9IyMxfKos4h1rygZ1eDG4CCLqhc_ME4KgqxhAsQUoX1CHSbEWwspBdUfVB38kIpg8lvsLGFPoq8yDzaVQJIEAD5RXAQNVyVGfogw5xcSLThI0q0yWyYHC3kY-tdMgsAiCBhTFnjTIiSYJyn1NdTaXfeQVPU99U1XE3i3smDRSfBg_dGVDpAyJPyliwgaSe6CN5U8i_QcSwwyYOboWAypEhx3xNwgrTM2JsLhUF75MF0HZZaiU5b8ysVSuqlxgWErepaJJbEWN7cqM6vQeQy7pEDIVxVBE9rrTdKjiNGO28JIGa-CeB5WghMx2mOFPBQhrvpIaCLgDHyqOcxrmCZ-Fmog5whsmwthWKm9xIsTPEKhLnVqBPwgIIABm_AQFvF7n3UoapAho-ZKkEXBoOIJFoVvhSUxJByVlMUefTtubQmUxNzy_tHsrmKpTu5vdJGDwh8LB1S2Ym6lZUa-JANidwrGlg0hsG4ytFcTDRuDaFKjnOEtF2pqEdOm9hKlaSM6pAERYKdBmvl1rDwmYKseBJ2V0WYLxec3KErQxkGTHso2oMQ199pOFKEALXHe1-FBxY0ucN_BQ0YLiQbjCvTRhLGAt1AggSoycPOoB2D-Sp8DCGvIsNORyhBBOo284QU12k3BTGp6YPgjI4B2RtfXERGrdZxzxWm93gg8FZxo5uDEB1s2QeN1Et6ioSRBPzK83K9usJRqlxPMbrHJVnPDoIFsQuZ2aiYBzPEp9ai7XQ24M-Vpsr64LQBBMWCyiJH_dpdOVA2pzSDIIKsTFQQ0yINubq1SOqOIuIvBUwZ6-pgcIkXgKUeeX6Gg3aZiFfU9I_wCsklXGbO06jQxmsPi263rLMTrcSDqE5lTKPyfTeARbHC-yj8Jspg6dVtUYW4tO1kQ6IdN2rTlyaaZ1BpjO61450D2lsnV4Wo1KciXCd0F2EBurHlSpfDVHgvk9w5Wo5tFKoYuD4ujSpBaCROJN1Ygse141AxAuCtI5lSTqIHAXOwXYQIBggrUF6LpAIhrUVSo-ILSJ8KIZr9bCIHjygFM20z2g38LUShqaWgEx_dVk4Le3SdPtugq2mTcGPCKsBBB-knhEKWyQAZEoKbWgOAvKCOqSMEG9kFIDnQ42GIG6NQrmaRDbmUSlDXMkkgSbwiOqOI8mMo1Eh2kOGTsVqFM13bMTFlWQLCCQSCePCwvrJ1LAyIt7o585-gYXBkzJRxm60UdRDSTaLyj1rU7DSbHYlSsqPbMGAb7LImWhsA9srrC3CPtUJLgRhUFjv8y_c3hYbyKPf9Qmwu26Mo1HEA85CI4EuBJsOAgYC4w0jEcoGnUYLoBRqeJVwWMAJ1HIURlf3wTHlVBaA5ptMfuOFeh8x-sEevAM3XGetRipvLCbGB5wp566RxYalw32UqiypBImDCS4ar05ZVcAP43W5dXV3OIaLxslmhmN0vJuQFmzsUc4aYBnyrE1WhUc-0rSWr0iC7BEDdSsNDHkwNlIK6gWxEDlbEHjUbGI_KesAGeIIXO9dhoMeeCkg672i07zCcoMPUAiotSdLiLWlxEnNk-tKgaRpF1V0W0Xa9V8Ii9YEUyQJVjWPLMeobxJOVpcFricxCJjg0OyYBOETCuaL233QkFoAAv9lmukiTmahk-0KKEDVMEjZELWaXMd-4wscpsZeZUYW_8AyXndIBAbBm-651uFgyIPwopibQQeMqNQoEwTjC0zV6Op5Aw2FBUMgxH3VgsxjgZdf5VqRZrRz2qKrRGoicAzfdbn6GinR1SGgGb5WhYscGvbzwoBQJcbAyM3yttrOYaosDClMJ6Tg8NiTvqUQ0gPLbTOxRVW2sDHhYCvGk0xpkRcqxoJ1su0Ak4CYJt1NAvJ3hRKSozvBsNplZIfTbSGj4K5tWKUabGAgi53C3Lq41U7gCR78LVqVpYABBN_wsazFgIZkbqqZkgTZ-_yhq7WlkO3OITNa1cOhxcbOGwwmM1fQBBm4EFZ8ZwvouIkmwutNxQamtaQRzZZsaZnOLnXbpBzKeM1xADmtaZBCziBVYHgwYAsNIutNMVUTbI2KwzbWDumHET4Wmos1zgDf_dStxCrnUR3cqCc6oLhc2-Fzq5Ex3NIIgkxZTswxaS0kkkxCqZ2alU1Ai-q1lZb9G-nUAaIJsLThdN6GhjdTNUgxciUgWmSIDSdyoHLZG5PKBmOc2GucCBgxlAariWDu0jhBA1ASWgxP7kCkNcQRtaDugLW-nOBayLGU1tOM8QmroPqueSGgzysalaGuOgT95V1HO0ixAPlPFJVe6me2AOVzrRKj9WkuEjc4WROo4NyCLEmCs1qJ06uhznC_jlMVWodQ1RNrjhX4mFBDWggTayyyiXBpvH_ACqHYdRBz5Wml2MIOx5lBQahP-2FpkkS_UTJb5Wg7rgkmAMApEpWOLxpJ3mwVrKtPua0uumtrMbqENJAj3RnHodK46dIdB4FlWvjS4l0zci07LQI0iYNyAEYp6sAFrXRbhFs1liSQADJyixICKkYRqKVHGW3JkJSpd2oWJOTJWEUY6XGSb5W4rnghxsYIi62pQTBM9owFioEmIBuTIKxUI95wRhSJWKp9TiHW4OUqphwy2ZWaCDBmM_ZZBILRY2OfCgo1wLO2Z8rNg41CXc-FuQDTLrmygJaWgau1xMQqJPqOD3W9oQOKssEgoBpLQTtlBwGoaiJB2QO07AAE48IKtfIibhFizHYJF-ZVjRtTQcwfO6tRTUS0EWdiJWYoXe1pJLjPKIhUAuSSJsAUZSLhYg2OwWL6L02yATcDZNaEd1xIHBUuqBlzvqBgqwPotexiU8DUyC6Jg4AhBZhBJHG6DrEGDCopTDmkXseVBscRp0kWm5Qc1wp3meIKVmrtdqbByeUZ1YNc0mDKIlX1NdI4ytfCElxI_uExqQ1Mki8lsZVa8UpvBdGq45RK0NdBjO6vR8Va6HQBAN10iJ1HX_tK41m-pNkESItvdI1IjW7gSDdVcZj9VxcWyhhahm5kwFhYSXBtj8bopw9wsQCOUJ6i6ppN5mcBM0aQ5pptJdAOZ2QcKYc4F0QMR_KoZ1RrAwZtFlYF12Ei2xlSiFRtjHuoFaQ3MxE2QVD2ugybXhBWm4O03z9kRXXAJiSDCla1NzwSpFNTfqAacZWmXCCDujPQF2oRgDcLLopTaHO1WaUZPpNyZG0LAHpnMQcAytQK7I48KBqMudiCkWKCWGQ-ZtddG8wzZLwCZ3hFMSBAAEzsspyFssJuZN5jdZc9UNTtIJJMKtynpEONzEQtRdVa6zuVKqRgTN55QK6zQQIIJygq15DCLIOvIcZ82UBbYG58qchawadIysAFxa6AYmM7rQrqmJG_KoMkvvJE4BU3R2qADcjcIGMSOZ-FYNdHupgudae7MrQuD2WbvYkoh2PhxBu45CmMqF-jeZwMLJFGuBMkX3GUFmFskZBuVcJ66o7_JlpbpJwExd7J6kC2bwFFrm95LhcRZGAY409OoBpwIui4JeXughGy6yHAf2WKFdZxkQBdXpiiKnaALmCtB-mcBI4PwhGpkEm8A-MouKCLCAYEyTujQPsYEDVujNKwHJEEohwQ0BobFkCVK5DQDLeSgkTsbBAjnAbzOSozaDjJDdWomykpKIphu87QrLrWgGOYZJMq0F2DF_C5_RFph3dYbgLfwO14c-P2jCmAOHqiSbzupqkLYa50bwAVpHMcXCwCoAcbtMzEKUXa0NaMgx91lIux0tsZdG61FdB_wDpUI8Rt733QK5-og3IjmylANTUB-0rFE26rWzukFmy4RMiZWvBZhkS5vgK9VPrXRIaWiTMbpXRUwyHEjfCyFJLrznMIEazU6RubgrILmlswZsgpTN74-6o6odVvyVBLUGdrhc8IK6hq_1SLGUBDw0C5-UWf2dj2vIxOPa6034tScQDqEmPdZpFqVUgzsbQsJVXVQNzMZiyyR4_V1Gt6l8Ri8BefnO3UtJ7YyDC5Bp1D6rEZ4WPoekNLSciQmNRY_5bTc5sVVtxMuBeTE7ASlTwMRNrqRqXTNf2hxIJGBC0pnNBIkHVmyxobSSAXWBdwm6ag7ua4uMkYUqVhqN9WpBwcytxlFw0kBpFvuVWdR6jv1EmGgEQteCB6fUZGPATR-UKDdOQZ2lfYfX4da6YLY7vK1EWbVaHwRM84XSVxrSyGlsAnwMLUSg9ri8EmTwFrWVWPhkxHwostc59tJED-VpLVKbp1FwgbIilNxubREIfF6Li6xJLeURRwA2A2srq4AiYBvwohwALgmQUG-i2WiZAibhUK9zQ7MkflVNTGtxkCAEQznem3eUgZs1CImB4RFWCDaD7IK03kw0kKiweXOgmCEVzcPIHtOyH4mpGQ4SQSiOey4BgWuCgUAAEk2HCNUDUDGm87SjJCLNcXAQcxlFwoBc2JMO3GAi_CObpkECduVqI4FgOkGPJUqaBdEkn2lQtQe7UBYObyET4DLZMAGPdGeMm7VgZJvY5B2R0UYDADsqVFYOkgWM4WQCAWgg3J3C2Eey0m8ndF11GH6osPCbgVzpuDEcpoUtg9wk8yiC4gEAEtn7FCW0_qAEXLgZKLhqYESBcBETqMLoLoDoU-jM5vfJEbRsqMtWoWgQZHug8P9SYfV1RYhc6285sioYkjxhRqLidiYjCzY18KYGQAIEmFpD0maSCYvmNknrSzma7lw8gLQNJztGmLT8qVKalpFQGd_skc16YJIjEbGFRcAgjVaM-U0XY8OEwBOAs2h3drQ03Scv2x-TpvB9hZLdN1x4OVnAwl3kAQrPVAWz_ACulaZOraAGyFmLjPT7RJIhUxUOaDOQjF9N6uqRgrTQPeS0nAiIVajBUDWm2NpRsJAjk7oAAWn6iRKJgufc3KKUu4v7LI76sXUAaJbk3Qc2na7r4BO6nqWMPV0fTcDnYrhyixlqUzGoLk7xzBJ8LnToXNkxKsVzaRsY7ZRPVmNaOZRMWs4TqwgpSAc0mIIVFTLi0GIsncGmkyIbMAG5XSDaHabtid0AaXayGgX53QV9JrXmIJIBMbKrKZwIADLTkKWrpqYySMnJKmmu9JuslsQDlaUzqcztwZWaymZbkSYgSrXQlRobfLsQCs9pdD0yB2gAe6mVPSOmm0ahE8rGusiQdqIDbH3yotXY4XGJ3V4-kaaTtMAkLdic_Gtr7iTaLQs50woTJDXTOVkMHaHAbA7LUMjZSc27gZJwIwi5-jHM6wZs6UotqadLTc8DAWTYoyq2-khzY-yU7ACXfVHEeyunaTp-p0kEXBVWmYGgibbzC59iNbumD4gYVislapc4NoEqWM2shH1OAg8eFDiF9IId3DJhHQtQG2Yy73QZyzSCHEkDjZZwibXEOBJzEAo2sGarjH8qWJU2POqCYKTusY1B0DSXGDwFtW2gC4Swl1sHhBqZTBDQPqOQMoJz2kOzfOyAMOoBpsB-VQHAvphoPYoI-nocQLyEDE6Wg5cAgjUe5xFoP3hBF50g3GofCw1ml1YMw42WPq40UBrd3DH5VnrGYtDXAE77RhaqpVmBw3gHZZzGmV8McW5AGDdYonUfqbLjANlzDN-kQLrU66bEhwaSRfaStZ0JCqME3JzsFnGaIpls9wG9wtIQPFNwk_bdStNXrnmQRupqVQOJbEyTgBbiA4lgiCJwRhblSnbULmz9R3kLNUjRrMgwd4VlTFgWkCZBFoCKtRq9wBMHENsrBsoVL_VJImVqDSQXM-qGgrQZjRqkmQAiHqO9Vv16diQENZ3Et7dUxf3REye4Wi1iEXXNDXWMSsqEObJJ7lA7CMzkXC1B1UuDgZLmuxBV0TgkkaoMqWjnE3aDDuVio6sQIM4GYVa-MhaXTfVCUxPQBMxJ5XOgCG2kicBRCufpLW2uY90FGvgeAgTSQ6c2QMHCMSTsiw4fryLhGnQIIJiVms0mReeAVNQ4YQJJybK2hSL-_CsBkgG8zZNDsG8z4VF2mWmRphBzXZ3KCrBf-xN0aEnTbf3shqdRk3mZH1BExlI7tQO6I0GqCAQbhMaFlYkfCzqiH-mLZPCgdjtQuYi90DBmp8zB_hBZoDWEnYIEc4NMxY4UovTu5rz9RVg1NGokTi8lUGlDrTeMqVmrDB0n3MLLksx8Ngkz5W4pK_cDa8ZacLTchGOxcxFrypUtwZ1G0gzaVld6O1trGCOd1qNRVtUyABI38KlVbUNhMxudlq3GKDyJuQd5OVndQsEskG_lHSIvbMkGAbwioObpIJiSgm8TN4jZYEWPNN9wYP5ToM58YMnICCT2Fzmu3uYQaKMPaYsYwgZznNBBAvbKBm3bcWFkCO7p8FBFxIcQMcoFiBm3KBwIiDAKBhaYOrxCC-ubaf-ECj67yR4QAkucQB5jCDi9wbGCganJmQs2itwZmAgJfYid0oJfI7r72XMEnUTIBgSFTx1I3NyHcq_01FS5o-2y6OvwQ4UwCHZ5Rl3qxIJBOJC51i0xMtJBkAqMkc-fnCoai4Myb4utxqLPrNDfJ7hB-ErWpiradioaYP1jkcoS6ox4aRsOUUzz3GCY5CBmNPd5OSVmisZG6wAMCZMnK38FTAEzq8LOfsGm3XiG_lUd6gLwABAthBVjTMENI8INjHQ0RA2InK1DdWaQ2HW9vKoAe7VMCeED1G-pBFmgSCETFKEuIsGxc3yp9MX9SLhuQRKpSDcAC8XUxmRweac6c8LNbOxxFg4E_6VIGd3TpaGWyLqohUqBoIi4O6lUpcJ2HsVgEPc42FvJW8C9pqAT5VYVLi0HTedgsDRTcWgEuAgLaqU3eoIntP8I0atGiMohaEOAkzNgNkZNIDyTtsh4m50lsHyZ2QS19zSbSf_CgLxLSItNypU6KAGixlvlTEh9QaCS6YVkaBx1tLriTmEqRMmDcRe0brPpU-4SLxlWfohmNaI1ED2VqjEgXBi5Ui_NEP1i3dNwDstIkD-0YyVKH1XbG5uPKwKUhP7paRHkFVK1MBDLzMRYC62pDLXRY2wgBaQwTaLgcoEmbmCPCCLzq1N5NuVzsSmpNL3Q0TzJx7KzojVDYEH_9IIUZgTMncbIi1OqHtOqdU7KukaKbtQDYgBZuxquc2GgC5G6IR50y4XcBdTAWvNQgnO4Wg7XENGmQOFkOTIx3ZglBF_a6SJ2uFNXA7WkDUbbqmO1anQJgbj-yIpTOiYOpuy18F2v0jMOiYH91h01RpOlum5OSpUtUe_SxxIDWjc7KZhHgVauuq4EzqMahuF5-X7dTUyRLcghc8mi1Or3NbEWvKznY0h8ugTByVig1XAdok352VogHR4vsotVadTHEmBgSU-tcRZBaSD9KrRjUvqJMR9PKlgIr-o-GmJtBUwwvpyYmGncKMWIVuncXSGOccGBZWJ2xuZ_hyHPaWu_7gumGM1SqHuMOhx43Vk_aKCqQAPGxhX8GsfkSi7uvbwvrNfhNQIbuR8rYpq1VTIkAgytR5-UbabgWxNmrYrp1CT_K1AKTRJ7pE2C3C-KGnDYODxlHIKg0gEH4KBqdTXBiAEGiSAY28rNWKl5cwQATF5Ra5roBJABmLLTKtB_qTgT-EGynVdvcgRnZApDaZl2TbKsZCe4kCwO60g5JAyTe26lFmvLWi-yRLchmVHOYQdIJvZK1O5rqYjMgi87Ks9ztVrjB7viMIv8AajH9ue3eVlvTeke2TaZ-FYzZgwS4SbRYqoRzg1hAmUHFhc10T4BsCixJ9mBsRGZujRGgjw0ZvlAHuwRMDcrUS9Hhroe4SDaeFKlcSKjGk5wQozmztnLRRaYgjmAlL_6Z0nqGoGCZFpwjjOdaKbhUbgTujvxuxRjjkgaQIndZFGHTvqtndawc7ta0BwmeFMXE9Vje58YSITUdRyARIhKpiS4EADEpF1MlzoBvPlVXEwQXOkTEhbZyGLtLRawM3WLBWnDYBwd4SBi31WGdtkRjqtAeA1xAhBlqNIJOB5OUHkfrdMNAdJgDGyx9beNSdrBEabIsaYOkjBiJ5Us2OpWHU23KxiLNNzMEnAC6Bwe-IuRsijHLbi2Vn3tgWU_8wOOPF1ay1NAcGuGwsEgq1-rIurYjUykG3GRf3WTNNO5aLrNSxCDqAxJuol8NTu4D5Wo1IdmBEHlVcdWbqvsFqqw9VixhRGdjrxc8CMrRqzGam-9lNZs0QfTk2BVGeq6C4AyAtNxF9xJuAjZGgneBwiYq0y0giBtCK4tAIEqVNTcIIOyyumaJ5Eq4O-kRGFAQ2DNnN3UoSvR1U3Wne1liqwVKJDXbey8vKOkZy6RgDzCyrnXA0kzyr4G0mGifcKNQ5YLSSTuESnZbUZkThEXpugiJ_wB0GltPV2_VF7LfwNpggNkncLpMMbKQIAkT7qC4Y1x1AiQoGpO9N2BfdUOKeoF32WbcDUmHNpjLkwVY24MNHPlMbLEPEwQHJqJVAGug33vsous5p6jqORxujRnVBp2CVO0n19UBwkjAhYWcitsA4xJ4WGzscQ4N4st9M73jQNU6gbbha-Lf0103SRaRjKkSRoLwRER5CzjOiBbIJF7J4etNJpA-pRuTFNWkbEO2haZUYA4gF1heYRPp7UzcCIzyi-OIDiIEcrOLqlVkMvY7wVhpBsC2eJWgr3idIxyQprNYq4F3GLXURldU1u7gAPCN8arTADYtGxRpOq28gAygzPBJEZAiCMoanqEyAOCjUqnTt7TYAARJTkvqbtIcS2BGQQsyYGY4umMRIm0LcZ-vQ6N5DCANWo2Chjd6etkulp97IhHva15mXam8ZRQY8aW2BIHGUNAuke5tBwiI9TThocSZHCBQySZsPJQTlrnlpB1RYgqDNWeWPdPFlmt7hmFxcSWyJ3XPw09PV6zbmCfsmjYSQS7jdbibiXUOaA4RJVs6VlrOhpN5NlxwRdT9Rv8AcqWYsVaQxkT7qNA6qQ0A3acSFvdYLTaHucZDR7I1HOLqZ_1WUVJ8uOqPgZTWadpIa25cTaCFPqNVK2mBYA7LcDubLSIgm49lpKQ05J0yQdwrqjI0zfMWWdFAQ0QJjwmgiNUgyAfq3VGxhFgCDC6QbaQJbd0-YVTBYQJaLAFCrs0tZBIucQjPiVVoJMugcKJeWxFwgCD7BVqdlY6BMe5KKNXskgwcQVMUA6G3J4sMqpC1HyY3BkQpQh7qsgzO3CyYdztBaB5nyrIqRJLO36c3VSsxDtXLTecLFhEzLgC4xaAd1z_pXWMTOoFFA3JEboYZronBgQmYhntESc3xspAjWkwZJ8qh2gCNRmFK1HVJaQZtOFlKfVpMiCN5Kwgudi58cLYUvkjTGkfdSdAOPbaJJWxRhGntMxklUPciwAkcoHZ5EbIKh9sounABcYwf5RcdUOiAIk3gojAQXOOAZwhh2MhpmDB4Q8P9Mk2APysNHaIx2_3U7BbTF_ZUUpxqI1GMwgcukWM8oOneZAN5QaG1QWgTCC1Mk5mCgp9LhjVtARF2PLbgHuJMFGav9dLmPwVYknZSS0ZMbK1c7I1jRHJ5NllkXXAgiRJ91YRwf2ie2eAtOijextx7QVqTSma4TBF4Ss_0NRwaRa_lZTCF5JiwIGyKnUkmZsUaiVSdRttkoqLtLQSSTaYWaJveNQ3EKASIbMEcIGYA9oP7UBY3MoHdaA42QMQKbLXQJrmABCCboJgyD7oduAkCBMZQBhEnGMIKNqiYIgFAzHF0iSJ43U8DAaAQTi8KhSJBjJCmjgQ6BFjZS3GVWyxoMmE3WpTB0iJHvF1odTAJvbwsWh2driDJ3CoaQ2dzGVgAM1POBMQVqNQwYWm7hgrbbi-JnujkYUrOiwA2mZudVgsViu16BpsB4Vom10PJNgsirngWBIM5WtXQ1kgG8BVD0XaptJQig7MmAbwEa8MDFyTBwjf9rMOumYBQPTPda0ZUtwUa4ACSdBWd0HXDeBKZocNgDV_CzgV7w2JIHEcrUg4lztMXVFWE6hEDYqbg2UqbRmRb4Wp2NH7AAA69yqA2xzaUFxEgSAN1PoDQ0xB8SqK022Pi2VPoZwEEXxccqiIdciBB3KzQ2qS4EXHjKxgoHWGC3chQSe641nuLpCtmjMHy8SZ90wV1Nk39oWhRoAJIhwmwQMSBcEzEYwjB2VCYJEuwUXGllhYZ_dujQO6iJkA2zCnjNTaIGSQd1UOHaXf7lTVHWDi54VaK-mC6YgCyMWJPe4E8zvhApJa4xJ3j-yB24JImUDjtpm_2V9gmWuLxAJKgDoZp1AETgXXJLCtAcOBzC350RVtWQ-wjEQrGyPBkkGGiMJUxD6nXt5CyjQMOEifKlBY4ioAIBW4LDUBcFpnCAPJcHnTNokrYak4FsnbClAcOwDAByoM75c36vkhZrIt1MsAQZzKsGlhEmxB_lLGlLEONyOCFQrHEXDYg2hZqzpuo3Igd53KjW6XqWaSTJJNkqdkBIgnM3RTiDaTLTJWO4KMILjMHxC1BQgtLogzfyoJuAMGJJuNWVGtTf2mRIaeRhWf2yX1D2tEdvC0tOXaXA4P3WSKtDoa4XBsQN00tWa4Rc_ZA3UVAemcNIgjI3U5Na-fLpqEwATYeF5rNbnageGEaQCG7_wArnY0u10biBuCona7HlgImfB2WbIrnOvGqVnAHQ8C4QjnWEgz5F4U7bknxWi4EGcEZiFZ-l_Jz3hzidUNNhCnL00jAWvlwHmMrKa5ztYtPsCrGfXofpn9SU_0qm4PpeoTa67cbhP7eH-o9cet6guFgTstX0ufHn-sGEB04OQsIapVuJG3Ka2_Jk6jb-V9bH4FXpYiTGy6SM60026YyFcca0lmkAqrPFGPghsR-VrCC4lr9Qg-F0gX1tT4PaDcFVnFKjG1CC4G-6EjmvsNQIPhFxRpIdwTgDZZZ-tDH_VFjMXW4xQktABje0LSKtsWy7SfOEXW5rSBJP23Q1MkPN7iUQ7XBoxG2UaEukmOUDEvMztaSjz8vVWAOYASPfhHXjejCA3vweEPR0xee7eUMWpkaTJFsjCh4oXjSNrcqh6b-yTHGECQNNygBJjHbygi-nDuZ2lGoGsaZIAg4RSG5MRlXUwHvDGaSe3gKoQVdZ0g3GPdZTUXP1yMDxur8c-XL4RgIcIMRYAqOTRSEwcjaAjtxmNTYDgNo2Ux1oAnII0kqqZzWOI7T5lAhfBLBYRc7FYrBHOLQGzkWhagA1NBAgSNrymA1DIibWyFvFSJBfYSRwgswHTifCyVWzmCDjBKVCOkNAH1RlBm6hzie60IMVepe5NtlkeV-t1QWU2kTKWNvEaYaW3jZZixpMxMEtAuq6EYS5_bE--AsDVSY5pk39lsO4hwaYAbgpmhr6YtoOVnM6c6nTOl43AtlaI9CkQ1oBAA8lZ8KoWh7uSdgrpGlmpvaCJCVVGyReDZRU3tAxN0TCAA-YsgpTBxZFUcBoEAQM-6DzqwLiS4RCf2531AMuTchanZF22Ai3lZrULUEiwytLWZ7NA3AVSVIXJIWnQx7WwQbi6BWOuCCYxdBxBJvEKVyMaQcyAbeVI1OyOBMTa6vjZmgEAwYJWWbRa4OfBgeIRJVO3TcHiVmxWbqKQaDtK4co6SvPq0_TO_C5WY3qbdQ3vKmqpOnOSFApkmDA4goK0mneyDSwDTDREGUaxWiXaJm-5W96ZrSym52klwgLfWNRqiGAgEkZRk7YLZiNzCAagLiSEFGO1ngIsaHFrhIyfCz5FXYwtuNMxF0jUSew3mJHCqpFrjTloAPJU8ZrPEPOCOQpummDABM74cVL30sqFdmpwtEXwubUjP3MI7oRv4pTnWDZx2hWOV9bWDS6SRfYbqyp8aqYDrTDf4Uvrrpqby2xI0jlNc7600mR9QuRBjhRZ0ox0GCYBMK_wBrutAID7EAbFT06VY4nYhw3Wj-ysBIIM22QvjTScxu2Bfe6MaFSHCJggrFdS1AGsub7GLhTWfrDUfpHbdw8ZWmmTqnFwtIBF7KOVZzLS6Lui88LLpxO0uYwYiMo27S0gyJIsgyVnkwG77LNEySxxmSfCzuNSHp1Awh1wCk5aokyXOEj5Te087Bmq2IN7rpE16VF5MFwDiMQrmmr6yQQCS03tyoh2tBJjEWMboqlNkkixO6GJmnpJOPZCM9Yy2x7It7IiXq9uflTBKRqmQb3ulgjUAyNzNysVsHPlwg3NjdZ6-izC2LAyFOvgqA50GfgiAty4wJJcSZAPlVtAkhoIiVnkM9R-m5z42XODg4GTNwJvhLWoMl7DGTlIVzHaTqMcYT-2XVNROonVaJCiwoadUk32cVnVqjXQQA6CbFJWVKY9M2J0yusGkkbkCMLaUmvScZ3CmYzpyzMDzdYbcZ0mI8QtQI0dzhh2JWvBq6dwYQ6TbJC1Ox6FJzTAuP7LQ1ABrCSLSPeUCucTJ_ebeEZoVXue2-kwEcrECJeCdrthT63xI4uabG2Sq6BSYC4iTPIRMO4imwGC6cA7LMCQSQ44zA5SqQlggiTuZ3UTXOqGpjAuNkTQLXOIiL7ErXw1J4MkER4K53CMtR98x4WfjTqZbG498pFikXhKtI4XxcbrO_pkzXE72GFJoanAELQEwY_agP1e6gV8tYLQYMXymQFrjp0k5UsAu-SAAApk-jpIaJ3K1AzAdRMKitxAs4jCBm6XuAM5sUFmNJFzIwi40sYNIAEAcq4aSvTJGoQEqsxEuAdkeVFcABE7DZSjnAtNvvys6HD7iYINsoC-oBi-ykZ1Zl2md9lWhDjGboEu58HubkWSCjJ1TjiAg20zpA38ILNAABuSTnhEO3SIM3hVlRtUkECwWlhw3VTMzM5CzUqdyfIzKlYcDBDtztOFYsEgAkjf8A1LTZg46ZggcrpAwBqC4I8qWIbUCSNlyswI8Xhto5ViwjnODosZyIVaRrjtt9Wx2USsvqSSADq5GExIE3iRexWWjOb2xkYmERRvZ2mx4BU9PQBM3G4wrDHepINzflDTRIuZjhBN7ob5CKk13dJMID6lzA7SEBZLW3j2QEwXHckSANkFodpvc-DhAge0uMiDzMrPgqIGIvzkJe2fQcLgi0-Vg9Pqc4AANV3EEN0zMxvKutmDS6JEjNrrIpAiSZuFsKS6JAB5IKwONQG1sYQXZVBGnTLv8Aha-NykNQtMTP_cdk1n6Bfa1_KmpXPMZJDVdXSWGwIClRWmTB0Ef8JCFe7QSJMjMrXq11F4BNonlWRIcmXiLtjA2T60s27GjfaSo350uwGRnzZBRgAgWnIPClDXNhjysggg9t53QFtQAadRcDugd7dcSJmw4TcCNa9pgY_um6lWDwQBFjvtKlTdXpOLYkOt9lSNlMu0i0AkX4Wo1mqOIcy0EbLXw8EBxAvJjOFkEPjTftyCNiqKmpk2PIG6lBqaS1trTyqM7nBkgAxsphjg8l8HDeVkVAI0n9xQZ6r3MDjIOxQSYLbfdBZjSW8e6B9WmoRwdtkFg4ajpORcwieCw4NyZj2U01XV-3Mi4OAqrhIbgZRmnpyGAwIuphOiOOpsEQDghVHNqEScXyEFXVGhsH3k3U01npu1lxt5hUORkkgiP2oBctBm4GEBBOi0xkoAHNaIIPMoJh2qoYXOpT6gGzxcyk0iRqkHx5F4W41sB9TXbHIVUj3gSAJJMRKMnBcYBM72QaKTWOOB7QpRUul2mO3F8KAOAI7gZ42WgWtDLuixnSTMoC4gyLO9kEnMLQHEfCA6oa4R4nhM0cx5aw_wApmJq7TItLjsCAs1VqdMnwTcyFE-rUwA1wDhwCOVY6OrtcSAXSdlImpA6WADbNkWftdrg-BtlZDsGkAtn5ELQWo8veQAJ3B2WfAr7ic7YU9CjU1gB0ixsd7q_6VJxIcf8AVxtK0KUjAEG88ZUouSbCWtaVAzCZkNEAjKHhesfooEgaovYXCzy8afPUar3kSM8-64NxqpO-Tj2WeTa4IkY9lyvYu14cIAAm6zn7A1RM--VcHAhxItjKcQHPLaukF2iSLLVgqCBGm4BjC5fVufHPrEmCLpUAkvJtcb4SrOw16WlwETYpG7MebXeNUNiZ3WoxZibjqdJIzkrff1EnP0ixJOxTBQw4A6i22FvIPyYwQbwZ4X1kj8Jd0saP3e2F1c-XfTXSeDYD8WV1jGlr5ESIjKiwslvndbnoowjTN5WghY0vMGwvdAwqlh0gSM2UwH1CCBn4wnZV2VDN3aimOdWbIGNPCz9YE1CLAeIXRFaDCBqt7FaVva4MboyMW2UtwxFw9O-fKzLc1FAQbjjdXa2PqNZB1aiNgqyZjjcg3mSY2VRdtMgyQeQBwgD9LLn3QNrIZN2k7lA0mAZ9yrQwDWus6wF75UFiW-mJm-RwUClup1z28wh9O06S0C97BFqVYYcBMcFGmeoA65-rYbj3VClzqdjHuFfieBLH3BIA2SJe0nAted5Crnn40HOIcSW552WHPldoNfeY1E4RePFpokvA0y1nBR2Go8AgQ6BmOVpatSfINp8lKDrIJDhMjI2WUqNRoLg4GJ2KAMEh0mSjVGSYEgRvwtRkp7iSSjOl02afqaVlqK0y0MGfaUDteXOgY8IE1VGsLiZHCtV59eo5ztWoidlHLlbEHsFQyfud1Ks5V5P6xNMiAT7DCzfHWV4rSRtCy2uHO9O3H1QrVUpEB0z-MrJGoPdptBJtZWVs_pkgX0gXV1zOagaCYEkpRPRqcXKbiVspvEA3kBX0rZQIyTII-VCHa6XgabBGjkTJBhBJzYIg2VwFoGgkSoik7gSRyjO4d1KKcxdGoxVAHNnGxRLGYiImDButRDsfpnYouAXhxvn_AEoqPVS4CSNOysZZ2NLZlabgiDHOYRojnkOBHOyJVGum_wCTupWcBrtyL8JrUMe4HAvJCzsUpJbYjZGbE2vIOi8FExZtUtcJuOFlRcwOaXQRfcrNXGOrTl0zK5c5rcYzT0gRYErjjoBs7O6hHNkkkI0rRdEZnMImNbe5xgnVmVUVbTcS5od2j7ytzFaaWqpkZhy10rWyk1zB90TDil6ZJBneEMScS24seEJFemdFgbHITNVrpNJNxBJyrGVyTfu-FcdInUpawIBM3IWVRmHTZwBws2awzuYXOnTEncrOKRz5gEAfKgm27DLhCzXSI1SKlSBBI2G6jUNSpTfEeVdZs7aiCYAEfKfUsWoPaBAn2C0jQx5c2TcRlZ_tFWsiXF0CPsqmL0SGh2xNuY8qVrxZo7CYAPHKs8F6bhqN43RYIIeZiflGeV7Ua52kgGxGAjJWMsDi2-VkLXqAtj4jCLHm1qwPaZjCNJVx2g3UEHCXDWYHsskvw9IkO0iY2KOkNUf6LRbU7cnZFYqjnapaLFZ5zpXPBguDoM3C5xpIVA-c2SXKOL3SILRJWvGLVWmHkCzjcytQa2guvuukTGyiMQTdFVMOcSZ0-6mBhWAAcG6S4wLqM3lQq6i1sbkzujTI8X9P6p3QQYAWuB2Kl34uJupgEyIEzZTtcI-agJyc-6xy9E2vBduD_qAWFXnUBnxKsGhjtUSYVglUcajy0H8q7iROoyLF0nNlnkqT2-rpP9lgTDoJZkRdavYoyqJaJEKRYZ7xI03I3CL9K64gCBCilDWuBBvwoA0ta4tNyRlWTWatTrB7tLhAGFpGho9RpG0rUqYMaHloE2WrKypAImIMZUbIBcHdNHZvG-yk7FqT4sJHlbnSWtdIGZDgCDcnhbPWoVW5LrDI5RRc4RDXZRi9FLiabW7bEcoxeyOJDLkfZCcsRNSMTp3R1l07ZpsBOCsd1fANSHTPeLTyteMyyiSS0lp0kXKzSxN7vUAEEkCUM6dLROntIMxyiOcR6bSOB8IvxB5JuTHvlXOiM1Zp1Fud5XLGhbLSQQR5SBy6xI-2ytWh3PbcwPZc_qAXFp-qY8KfQzWgYuIlagDqXdiwVDtcCRYjaUCPedVtkHS5zYLrDwgowmJMHklFhT3EzcDCFUa0sALjMoijofjIRcNTBpGSR7cojVTvYGbLUXWlrdJ2JBAgraIPcWNjJIuQufJdZPTEgH48Lm05jbwRqjfZbHVIa6JABWAzu6wiJvCtiWFloIiJnKkZbAQQPFv90k6aiZi-8Ipw6Ab_ALcLYZjm_UNt0GijBdH5WBpd2CZtJRNNTcQBAOP3KxNVu0zmeDhaUpqFsySUSua4C38rOMZVJmDAPhFxPV6jXWkg2PldMMOwXDsRyVKp2ODgQ4EA7jZaBIDBAdHk7oJlxeG3B2zClWOcS64yM2Wa0z1HaTG5ugzPbmCYQHtsDJ91gc17g8gE4sg4EtuXEE7oHH-qTICAkNgkwbBagDjzceFKErGGCJ5JjCsE9ZAEkf7qUMDM7CFAwJAIlAzGhh1nbEJop2_TBM3mVzvXbNKB6Z1CSOVqdocOBDjzubqYCHgGwBIyVnLQ1Nw1SQYODK1W1dOk8jZT0do4GoG8ThQcH3DgJ91toLbZO0ZWdZK9oBkRPhRDkQwlptvK1GoFRxcZkGeFNNO1xic2wohdYcLZ_hawS1F5udVoVz60szsaBIHtZS34UuoOA7SYPKjMUZUh-R7LcaUDpydQGLKgioB3OF3LFJWlhJIixWWv7H1oOnY5RnV6dWYGY5CN6Q1C0ul1zeEDtMBrgI2jhBUPLp3GMoOJgYJPMomHYSL_ALfCuJYek4TOHInjZQfsBBG5Viw_qOY4tgNIOVWjB5MkGQDYIuGa_wBXiQURYkO2BvkIOjRPbq2ndT6mo1X6BH39lWokyppOSPdSlXZVlwP2Kl8ROq_tMXdF1BIUwXFwMt3KVPrTTeBJA1bCef8A6RXaSNRkgRIU8HB8tkiYF9KrCgfHcYBJ5ShvU9QzMkiCGosMDMkmwICNLF1gQR5RmkLxUbYuJ0wAURxdM2ghAHs1EIBRsBYA3AhAQ2DIiJgwUwcG6TIi0i26Di4EmbGNzCBHuDrWt-2EVI9oBiCb2Wf9MP6gqNINibWTIySq8kmbcJFI5x1H2ytDtUwXbWlSirDfSXd2wKynqrX6Mi44RcxVj3NdMGDtK1BRz304h0jVMq4EfBGoxk3KBfWdrbcbQQUDeoJBbJbtaUZtKZvJEEypixzO4Zk8BMKqJJxBjzdTxNWaT2iCCd-E1daLMAgwUb3rsusmxJ9liudECWmRBAwFqNy_AH-WJmDOJui-HFUXk9_Kms3l8TfU7hg8GIlTFl1RznwZsYE3UxbSVKl3AG-BxCqaQwRY9x-VppanLWgzJCy1ikh7gbmM3_hZrI036lVqfVVA2i91tJEE7qcp0j50VQ5-i2kZXGR1jfTE0g6IbtCxe21GlsAXD_fKyzpw8A4MiVnNblFtSQQb-VizEBoEAkKg0zqfmUui0xqGDuBdZCMf_mAyR4IQUbVY0EkeMJ-Ky4jV6hukiSPcLUnTVryy6RJjK2xey03hznMdJBKRFqjTH0iffCuKYS4TpJ-FnW35Kojuxf8AlfYSvnzufEw0hVysrZQDWi2TMx_K1EaQ-ANJXWT9gl43urg4vDWz9kETXdIvpEoLTIwb5LUDA6RuItB3RmrUYcSeQiVYP7QQCUkjI9zXYEZWukrRROvtIIm5lCNY7pAudjupiutB1AW3cududMgXAh0YP2Vl1CMFybXwukGlkam6Zba6qnbUIJ7TxdSlNoIEc7hQB9S7QI0gwqgguBgYHIsqLUyS6HiSgZwM4AHnCKLngjTECOd0Zot1NkXkRJ55V-JL8F1wS0aQo6Yg-BqJyDIPK1ELGq-SbFSrChgdhgEDKgSpSc0WcPIhaZwrqYLQCc8lZZ_DXNboJIOoI3JkPSdDbAyTMhCCaZaJiTOStFaLEAETH7gd1KsU0gSZzaWrOlZ6_cC0GIwqiWowYLQeWhbRUd2BA3WFJ6JLjEt8koZDN1BxhviQi3wabJBOxzKIcOFwIaeUE3vOk2mMyrT68_qnS91zEhRx5TakHlv7T_8AJHTjMjy_1J4LjP1cqV0eHpOsl0iFzrcaaYDjMEf3UXFaTA1st7gT9k1MVptLS10HOAk9XWn1tdiIlbZI4E4g8IaZhixBg7KJrVQplxsBp8Kbjo0UqbS8m4m1k3WLFg2GjLTKISXCZBKLDae2wufK2hW9sgwRwpTVmCC10GCMKmKnubcdsLCxjrsLQ6MRdFeeSYEX8rSYBaQJkT_CJ4an3OMfdFdXbIyJHKsZZ4Jz7LSwpAF4E4RvUngm4zwELT0wQPBM_Kz6xqrQ1xmRIUdJXEz5myoXSQCSL8FQKWGJzebIKMaNOJOw3WfExQARonN54WctVN9NrQYIM2UqsLwGPOHHled0jOaeDpi6zW4F2iwuoHawuOqEK10jedN-Sqy0MdBO_utSLGmiLiDA3A2Wm16bnD6WyIF1UaKZFQQWgn8oida7sR4RKeiAcCCN-VfCNbHAHUBPhFol5eZIgjCu4SlvvIB3JWfrSdajAk3aeFEqB1B29uQpaS4V-kYaJWHSVme0uds0b8rNS1P0_qgwBhZUWuLZE6yVZ6Z9aqRM2Fhm3hTPpFab9O0E8rcn5JY0NJDdYxvCeIZtQmYl3LUGum0NaHtBAJzwspYdlRrdRJaSN1qMqsZqaD92jCLKpScJgNMjB4RqxVzwSBIzhGBB1TaQMNGVkZ6oc-SWko6SSdvLqtDng6xA8WHuoi3Tlz7OPcbD_hVZNdWoNcQceFhv8UJ0OIkiDZFw1RheSYhotjKKxvOhriL-Cs1PEqbtbbgNM_TsuZqVQhpLw3S4mLJ91dBsaxJGZWkxqpvIeHRqytwaGgmnZkDMLejZRfocbSDidlNK0lorOafoAySJlRzohzQRMvbOYRBe8NkSjcuMlV0vIiJwcI1LL4yVC4AQDaygFJ0khwB2CY1ArU5AgFrdlMUGtaw3lxiICJTW0tJhpGywqbKhe-BIB8KQwfUIcZGbTCtkZ8c94cAZPGFOo3EqmuYAxgHdZ7VFzo_-W6MlOZ34QVb-0wPITWo5ziyXTt9KyqbdTnT9I8qJovHbqIm6s7jKrO9riB91oa6VUxFhG3K31BVzQ5uIM2UqYSfMkCbqqVup4JJyJvusB50wLOOwK1orTdLQ0nSSMHIWozWtsABgcNI3XRFacTZomOUjE8VDdUEANMfZHSdqUrae6QPptaUsTE6jS7JbATF_GJOpmW6RIIvKLZguGogRHMImaRoDTpI2tKjlNlJ6kucSNJIi26mO-iXNbPbgWlEqFSCA42lXWTNu2w1NxBUgWNQEDKtajO5kOkjdcqoNOq2kjz4U0c6WSMiFBwf2i-y54GaQH-eSbJoadWASRnhagUVNViDJz4Coc6dMidKzApcABg8QtVZ44t0mI-CkqGEkEcqgaiwxBKB2nUbi24QUbIOPsjUWY4TDhBGx2QxdhgSYWppjS2LEwYN4WqYh1ECQLeyzWWSTqJLYJOxWWjFwiDIlFTs4w0SRMyUAGoiAQAN-UDMaDc_UsJYuwHTm2wNltRnW6BYcrOAn6Ti9ohaFaDdLc6RwVmjVRDWNys7rna0NMgyLTYqazlo6gJMAE2W43xmHdLSJPacrTYkQACYGxUZpTDMQ6_CYsMDNgD8J4VzWhrnSL-63rH0WE-pERGzlcqqwRJvB3QTrPaRYrMAb2sAsZyQtJri-RMLM9WdpVAHDhL60yPJBIDZB3lQO1o0klwMZaeFLDE9R223UADi51xACirkwAfq1YlAmoiwBaBsd0T6encSACSipVTBE2WwWt1TAgxZZoLewCwPxuomFuDqEOJV9MVDpJabORXEmBpkOOOFyvdZpmOkGQSAteKDnF1mgAZhUwBbIETaFMSRVrABYxupVp31XS2xMCCSpElMMDYcJa0m6qG9sWHlQAvM2FjugZj5MESCtUB5dqBjSAcDdIsc199LdgmGCXFskmSso4OB7gdB5Wvi_E3v0unfkKwirJeCcmbmFOin0Aw7TB24TUMxpabHucVYRYDULun2T60IogHULmOUPT0y7cEo1JhnTIMavCKramIAPmDZZqYpYxEEHbhFc8gjSBJB4VwdTOkZumCze50wTH5SdByybgERyqOp6pBzHlGcbaLBIJEHYA5Rpcua6wEO3QAusd3AoGbWBkzgftRXa4cIJbPKlY3FQ9rhqNibZykRmqPdqB-kg52Pgo1AZBMOIEbndKp2aSTgGMThZC1C4mfuJygT1dRwQDsgoyJbJJm_-yCrahuXBpB3lAWOAeRAMb8owcAO7gbQR4QriSGzqGoFBwcW2JJi-EFZLr20nCBtOnx54U0K5xmQIMavdUO-0EmSRhAoaYkWG8hCmD9IGkwTkLWrDx_ltFgDclLPpSgAvgCY4_lZREjuAJnmUWEMuEGScAItMWZ7cKVnNJUp9w5EwpDMSpktALjJ_haDwHOndPOg1Jx1GbQpRQFwOq_ysQWpOkSRvhdBRzhA5GI2QK46sxJ2RKmzYkgE2KLVdRDiLEbQs1j64sLgBn2VjUcQGDHzN0_pVqbQWAgOBB5UTDgjWL3z7qKrr0gnNsK4UvqO_aQ26mJjvVLbwC3AKsiuplrrkg_z9kZc4xk_I4Wfo6QYgkhXFh7OqH9tt0Upkzf44WMZ0Wus0XgnJFlqNyqCdUiLpW9PTBNxa8QQqmnaBFhqmPf48KYMP6yQ2jMQscx4zY1k_tGCOVzdJK0MeQ3uLpyFiw8VpPIf3GTtZZsXYoXBpm5-VhdwZ1QQe43lWLuOa6xvfhWnp2gGCMm2Fyt-Kb1GtDpJ1eFlZ_YZHcRfIjKFz4eo6bSdQvnZWRGfqv2jUNRurxmDEGtc6CYEyFtDDQCQG3ORsEKVzraZjtwraqlNxg6rmVNH5JpElxvdfVvxKq6oabgZJ8rpus5i_TEucCCSty45X9toknc-67IUnSYGeCgZrtRtaFKOgPeHbcwqKNIc0GcWjlGdBrTeASgtTEOB-98oLgFwhpvN9oCGVZjtLQDBjdVzqg7ojfdWEaKDjDe43yUpTVauotbOonkLjZvbKZqjW4NB8E4C3xgdnd3FxHGnELYu0yIIuIiVRTXcjT8BZxVKZcJGm0XMqpu9J0zBg3PB3VcNu9qF007i-0I7RRjr37SfCKeoA8ANk-MIn5fE6dnTsLGQjR3EkiCY4KIcN7b4j6Qqf2hWYdYsWwqtKXBgLYAAEzlUoGqCAQFmoPqgnYEZ9lFRLoinYuNz4WsTc6cS0CAB8lMXTtOlsgDUD90WnZEDU6bkglGVAZjxeVK1ohwAI2IgLOJpapaDAgeVZ0fGdxmXHA_0q0UYQ0du6iw7asOdBnZECo6ACDB3haa1MF1R4LVkUp2A1Qb8LUTBMNGom3EJU8YaxY8_ToJM33WWdm9JOuNIMnJ4Rp436sJe4AgQFGo8ktMm8f3XKuk8Ua0tab3I-ymqs0kQR2njlVKu0w0Akl0_hVlQZ1DEY4RRa0tAcbzcoHDgHXu4zCMNdI-mQABMXUrerNIIAiBmypqgdqBGffZGZQmGm3yUxdG5JgSFcT0hadQkCJVXGhhAMG3lSppwQGDPspmKxdYSbA33SDJ9JiFpNSe6bC3KL6NIXsjKlRh0Q4W4Vi_EnSwTAuFpGd7iBFvlF1zbAEwOEQpqATfB4UwM02B3_AJUqxVjI-q_BUdJ0Db3OB5UFANQAb9JzCxNEz2-8rqCyC6Tb-6xaHqAOYQG8fwsNyPPrgNbc3lceUbZDjVJWK0BdLR91A7X6oa3PhazO0rVQaIh8l02TUagwOMfSMyVqEaab26jG9phVdaKbtI0i_FkXVI9NoaBc3ncIaUDVJJtsteIsJABAg8FSkVbi9jyFPFUaSLk_VaFLQ5gkmRbYpG0agJngXhSib2BvdM23USxB7gxkwCVKms7hrgtb73UzBMksOmLC0rnjXF1N5bqOfKLV2EvcIBPIla3ojRpc51gCAFZemo1UxqsLNDbwr61jgxrX2MAXupjlmLghjY1xJgRhZHBugwSHTeysStlN8N8qmHpt7_pLSLyi_jVC25Lib7rLIEgNuZI5BCERrVQBe2rjZZrTzKlTUScCbuUak09F_dJMELTeLFzXse85AsPKDG8_5uojJRnYe7xpw0blZaZqoDhDYdY5UoyidRB0staFz9CvGpuocaY2CuAMOGGCc4VhqzXzYuxhWC4fFrNOy0N3TVPUp3d3AbKi9Oo4NDCQT5KjnZtWAIAkHNlcPxouptc04aRmFW8ZK7w0C4MZccyssSWVmc4QTJJ2CljdTAFOCWyeFrW4JcdJGqZO6ipweJF7olM5tj7WK51U6btJLiYELmC46yDaCtQBoc-LnwNkoFQFzQZE3KyM9i0WneVOlCTM5VQ1PscHG54KlFddzDZaQoM7neo4kZ4TDId4c5oAEb2QXotlukMkwZVlGhjdDgLiVuDSIAzAiFrAhYA2SZteU8HMibiOAuYQk6pgzyt6KNa4uaTJG_haZrXRJJI0_dbDl8QSL7Qh0tT73HTc7yiLNcCGnABx_KKJILcQAi6jVlxB09oRQeTYbZlE6K4B0WE-UXpJ4jIAm10Ok3kOaQCLWlZxkpIJAi-4Uh6YDSMad5Qc53YY2Qlxm3jc7rFa3US8tkTMHKyATqeCZQO2wO11K0cRYRLpkrOBiQ4FzSYVxKBjVNzZSVCulxJE22GFqAtbYRjaVbeg2p2oDMcrPsWG1FxvhaPpnEFtvupihTBBAVSKgTOqeBCsXTfuEDUJgzwn0aWvgQfgLRrTS3MR_ZWeCPVnT77rmMJqAuLYHsimJ7dICzoNNgbJy7C0BXaLxET7IKUtOcHMcoKmHXBkIC0NacdvAWaC43MYJVgalIBMTJ5VRsouH_CwzZqramoYFuVMZsxSQA06RK1GpTh0tgnzKta12oGQMDCz456WSSdgtRuVwqNba4JtAVNDtJIMknYqIuwBwEiANk2izKjagc0XAW1-JloEkAREQVURqDScaTjlTcTMIXmABAGCsoR9QN_dvay02yVSWvF7x91lQpu1nVtxwincCCSYjZS0FoAbOTwoHblokQPKgGkuqAD8olC5BEwRstQLBcZAvjkKqLf8u1zB3QF8zIMjCB2wIMA3QcQGTs07rFZp2nSTF_jCyuEce4AGTlZRzu0kRMWWoQaeMQBhaaVFTtgEELKVxeCbtFs3WGTsMNHHKrcTa0ipBAgi0q-AvBDTEzvJWQrXtg3-eFvKDAJAmVZGsCmXNJsAJyFKn1Rx1M7iCEilDLgGUv8ATLnsLTM-LhPWlW2bwMKMh6gAsJH8K4KMf2x8gcJIGb9Q-0JYtamWaRmAMqLxcBHM8JW1GiIJJgXgBQO64FiSckbrP0K0kiDn2WoGaACDv-FoUb4EA7jlA5rRAaMZKG471O6SZBQ3T-ppGYup9GmlW1Cxk7FXEvq7HfutGLrWLDvc0NF7qYtdTcII-xCliGJLhF5UZs1z3QWgtuLgqtYQAPneeUE9BDm3iZ8otUA_PjdZrMF8sN8qKnqEmT8wgLHFoG87lBYOuDvMYQFxAjTacgmFZ36KNMgNMGTstFjiQQ5paIBBmdllhNriwTZoJzlXBopPfFjPzlTDDicEEAmTZRMOXNmSLC3lFTa8HGNkFy2WgTJODGyCLpY641RYmNkPDapsJiZHkJpaWTq3AQk0HiWknOyL4Rz9DRi3CGgHt1ETLcxN0IDqoyWw0clFqLnAQ4fUbq4mVzKgEEZccFXDKdjhJacE5KlaVYC5sk24KzUq1MSZaAQBykYjvV0mJIJVVxLXTNpyVIAADYDG258qhxWYLb8qYyo06e6e7yFMRz2tc0kOg-yAUqhdpAJyt1dWZZoB-pTxpQQ4G33QTdUiQI9ypuDrSOFQJ9Nv_cc2ws0w31OABtFyUBqNLQ4mw2M5WgWvhkOJlTAuoMeSTlMT_VKbpgCABkLNhelgTO0cHnhZ-rKckAg3Jx8rV7rZg70g0kG1pKDx_wBd6gkNA3MEyufJqPMpkAhv1DyVzq6cVYI7cWStNDakiTY-FjGcUMucIEbQs-IsCAI22gLNalcH6X5sRF8KLKIgtcNdr-wV6a0kiRDpkcJ0qrKjdItc4KxZoJkTAhwzFyVO4JVmEaiTtYlazBlDrXMnlVE6lYExYHiExRa4uDu3wUHVHOBAbpIA_cUH5La4Aage1fXPxFmEVCASrBqojQBvBVc75i7SSJBAErrxrGEdqOkkqb2DTcXGJhb9Zq4dYXtGAmJosfEBskeVcZvao1Pki3IlVT0oaNydwmxZKq2tBAmGqNWLNeXuOIuFqY5WNAaCGwJA3VTB-pogwRmVL2g6zAMAOUxHNc2Lm6sF2iRGw3Cq4driCCB28ndFxpbUbquR7BRK41DJAAANpKImBqAAJJm5PC10mQzXQYxBwo0eHObP2RFGnRMmfCMZ2RznQSO0mI3RsWmHEOn2lEtkV9SCBiMXVhL-QOIcIBuUrSbWFx0gSJIMp4ONMEg4OFdRMAgl0GHAglUJpMmRcCZGSg5zwcRzdQ1QQW6j4ibLLZsYs7MFGTh5qA2gRM-UXAIJ7ZIO8IylXaGVL34VlaRkNdINuDslVVh1Ztt7qMmDdQEW8DdDwZY0gGwzJROVwsAOBFkWd9qNfaWt1eUaTrPc6RIiVfjhztlZYAGkjV7qHDrsaoaymBEuyTwOFK7-vD6-BVJBubQRspg81w11IcY04gLlfXSOYAXOl07J4pi8yIwLLVxKoKhJ5hRMaabgQ1p-qZMKoeoJkDIsBsg5hdE2nhEaOmqN_dZ3CEaqZ1ENBgeyNGbZ1s-UYU1yLkD4UE3VC2IMNJzstrSg-0-VPoZnmFpFCZHg8LNaidVoDZiSpisNST_ur9ZqIEwSI3VppgyPY3RFjNRgJVCmgXbhWCFaiAPPgJogPq8D8KaFcDY7eAmtYIaRYXOPC0kjTTu6DcQs2464Dm2BO-ymmC0ky0bWJ4UvSI1PqmVJdgYCBOCd1gVcdTTB_sjcYqrCMwLrjW0HUgAf3OBlZIzFwaYvcKNKU6cd0nnKg2Mdqgi7uCkMWZqcACf2rpDGqlMRO1hCrNXpNsZzsosVGkmRYjlbinzAgXF0wEgB03AKkrJm1YGk_VnxCl7WG9cmIgzZZqqNfqpkH8JG3cebIJvBETcFKIEAknO0BRhN5uRNjvwsKhUbBAab-UIZpBbB52WXT2KGpNmACfCKtSfqkHYbK_0RYOINrbQtxrcUNS_hSud5aegCDL4jlZrMbG9wIgC-YVnimJLQYPZOYWVizRDdV3IV13ACSRsjJtJIEGS60cIYydQ3QajXAwTYhYV5zpktF5uQjfHp2rTcHtkAmELVGV9UtueLItA0-7EHkrTMnYmxIOBnwq2jXsNIADjcKVPWKs3S_gYXNSlhFOSZCgm14F5jgpILUXg03X1ThWC7WyGB0mdoWlbKM0ACYg7LWLjTShzg5sg-yanTUXW0FxnyiJhzybiAD90RnqtgkviJwEVm0GSLEDCysmpvbphxmeFWsNTcXNmJM72QCrTdgTpWYlLVqChLTeRYpWWao4kuxhcs7al1anUloBJ9j7K2dKRjHaJmImyzU0rnHSIABjMqKiHAxH0gxClBe5kWGCs5RxYS0DBmRC2KU3gCMWUwB7g1jTmOBnws4mbUTUNR_cCAb9uyqeNFJ5iZghJY010xcHM7rcGhrCDJEhbtHOdx-VnAjgDqGDErWANZLSZgi-lRn2qU3Avic8rVjTSy4iYAOFtI0NAa4agPF0M7O0aZgSCiXpanLtLQcbQmoZ5FxImLpqoOBIDsNNkIV9MgBrfeSblT6v0hOkkQCCPyqXpN5Lm2jlGUmMcXeCpQJ0kzz8qeKDXNe8gmQOUWVTQBLsg29kZZqg0kzYcrlW0C0OcVA4aGsvlQBxc04gSgHcXOl3smB6bdRnaLhBQiDG0Kf6Aw5bpvyUq658hhnJxGykvYFLtBJn52WohwbZnyqEa7SbbILNdMwgeTHaRAzZAS6BjO4Qa2aHgckZhaira9F9jwqjFWqlwkyfdYoiDOTBGxGVmRodZDoIEFaVQGwOB_qOyBahJMxvAQIxriQMkWKMNrHBoMj7Keti84Ig2VCFs7Rugak8hwLgQdoCzWWs4gXPJsrFUoucRaBHyqNTGCzwPKJmGcLQbSVKhgGll5zxdRlN-QG455UNTc05F0jUsFuLybrVGhj3AGbE4WWFKLTqsRG8rrGxqOiI0_CoyVXf5vup6Bpkn3UoSoC64HbyVF-sVZ14M6psimogU7ky3eFKp9eogAdmyyjiIda_ygpTAc2cFVKq5t2mw-FIsSiXHMbEqqDmX42thQJBNiTK1AS4EiVKC4WMb39lfQ7dL4GANlkc5zotKmDtWnMT7oCx7RpkwpjLpDgOBO6hD0m5g22UtNXcGgg21ESs9omalyAMLcxopfDQQJO8rIX2dJ2lXTSlkDIg3hblVVhAAUnqwxjiFcXEdc1L2AGFEp8yJsDMohxDr5nhTikNp1SY_8hbUpgnYFYgZrdU7za-yL8WY4NkOt5hW-EVpP1gkTGCSnxqKtEuxPEqNOOoNiCL2BU2irXagIO-yBXHuLRY8KwEktIkY4wiU5fgjfHhNTSl0uF82sUZtUpixAupW5dWFrEk-3KRWmg2CLQPOFvTFgSWiIJSChBfMGL7KwM4Xg5NpwgoW9kNjH1EqAGeZ8p9CEiJEewSrUzZxJ2wFEO1xc2AIUwTquu29zzhMAqOOkNJAiCssnDjAn48o05r3btNt_Kuaf0sypADic4UFmvA1BsOctpShoOHcyjMlEx9POAAjUOx5Z9DQPdZvaYsx0mR9R22TEEO7gCSBJki6lgm5tgW2I_hA1CQCMRgzMoFcdQkiR4NkT6USQJ7W7ItCoDEzYjIQgtd_lzOBEFFTLSTAEkixQBrGtMOBJHCEMWaoiYFyCtNIVIc4n7JoE6hpj5TTVGQSNRzaCsC7YInYKilJ0AtMA4PCMYNalAvuIB5QKQTwQB8oHd3DYtnExCBTqZNjfblEqlIgmYEzglEwzjZ205RMcxkAQYAKrUVtUEbg5lU9dqdBBz4WTaDbQ4iZN5WaqgYY5PKkvSfSmxBO2b7oqgvke_lbCPBJAJJN1KFL4aIHdO5TtEqjyATAKSqek_tgyAd0qNFKoGtuJtzKx4eKB5JIEEHEJpKY1W03AuHjMqxv8o8f9dqB2lwnVMXsFz5-tTt5IJadyZvdYanrRSeOPlTG1TW9Mg5i_wpiWHpV9TxkAjZZxMWFQvN9tpss4hmkzAFjsRhT8W4eSCSJA2AS9GB6mtx3i17Qs-g6yJMyBiyY1qjz-9pg8HKu9rIg58yA4mNjlS-rYzPce0CdO4VYLo3MkHBlRXAEAt7u75Qamtpuy0HaZQfkNrCGlmQCvrNfiKUhBubjELUTWxri4WMfK6RizVGvBcOOFqFnRnaRki2IUvbmmGmZBvkLUqVai83jnK2zhydQsEWRWm4MJkESjWKtdHaLXsVA7XBskuvvZXNZ1ooEPN8-y0w0NEui4aOVRQtDGgRfypQj33dI8JGQZc6TYbKo1XLZG2QSpW1u3SLGOQsgicmJW0p2uc4BsDOSiGiAJyUQWthzoE-EDCz2lvGEBc6MG5F0HSJiSQLWQAktaION-UTlOhL2-SfKuuPG4ZkljrROFHo43XU2h5nJvCLhXGcTa19ihhSR9R-2y1EK8EXcZGQqhXuEyT7QLLCuGkuJi3CIoAGm57Ywg41CHWYZ4KLrmucZ85CJ_YV4P1AjTghBkqQcRi8labWphzXNMAk7rIeA0iwjnygUts4TYBGeU2AGnSSW3CJBpiGxgeEXRIkQRHHlGOffaDmhzoGAMocPE3anOJna3lS9u0eJ-oXeQZkSVPiPMMtLYIM5hYqnNmiBpG8qrFGMDoMDGyzW1G9wgj43UlwVpskaZHudlfe2WhrPSkuaNsKpRDtHcIPChh6ADHSRfKauNTMC10FWC3mcKpYEA7QJ_KIVwyLFF0rCAYP4RJTa9Ts4wrqC7vbwVNVOq4uibeyGs7u0je61CpgkmbWwpQWuuLKrirX2FxEqrYQvl0kQtMs_WPAMjPhY9WMwJx-RuhfTCHCLxvKNmJDDYWV0kVYNZkCD4WasOwQ4XM-yqFqPaIAtynozVCZkXjZZvSVei6Wd3_wBLCx1Q6wQBC1ZghWpzJEEBY5RePLemas2NRBXCu7G4TUzY3-FgUYIGTnfhQWoSDIPhbjUeh0rHAAyIJuMqpVnvAdAmJyFphakYqhsyBhUa2iJBAuVZ03I4tkdpzyrKuGDtTQR7FZYo0mhwuJEwOUIctMkCWgXss1SufpsLgpFUoAkcK1SVDIJFhKyqbSQbb-EQj2hweDEwVmqzAGmSZhwAvysGi-CJGDad1ZG3NcQ9si2AVfBoaTN4EqfVUqPD4DTfwtJbsWZJhro4ujkrTcTSIiwWFi1MyS6bD9qo0UqhLfBvCimFZrT3CxQ3DsfqcWiNJulYc6qNQyAeNlG_jB11RtQjS6SslY2Ve7SRtla9dSuf_pz5wsphHANAIn7oUzKmpoaANR3KJlXp09NsnbUtmU3WaWMBOeEaeTUJe-ZiDMFYwgB5fthYzQpLHCButKeg1xMRAhVGykwuaO0Ai0cpFi5BD9VvK20u1zQYIMEflZqYvpiCTbaMoxZptR1WgAWMphJlT6poeDYyR90jVYnt0Dt3AsDK0jg05N24PgrNVxpgERNxhIaDQYOq3uVRAtLnmVmji0ACDfbUuP1rCOZABnGy2luAabmNkGVm1klR0ugABo3Kw2mRIjjcIHADnTIcApek5BTYTVl2-PCnhDOfewggQIwtKTUQbg5xupgJdIbJmZnSFEqjXn0w2AJ3SRWrp3GwOIkeFoaaFSGwD8ndbzoCNckHCsSj6mlo3JzZKhKtWHQ6IkgqYm4DXFzgGLUbamEOaQDkQtQamGA4knbdVIrTeRFx8oVanoaQRJM-wQkHT2ui742RLEXOOmHCDKLECC10u-IUU1R3Zdsp4lZnvBOkEYtISftndAVXCwAsMxhQdLXC-r32UCMZqdEhWDQKRaLmb3CYM1dkmDMjhc61Ei2IkwQdlFJGq50x5UWla6SGiJ2nhEPbTqd9wpQWEj_YqijSQRAgFM0cHAmY3hAZDpvaYlTGoUvvEhyqUWnU0ftRB0E4uZuYQO2meQDsCgoe0DEHPlAWOBGm_wABBppPJBOOCcK6sdXfBBI_4UKhUgAgdwO6lRIduRPCNGnUDfCqi12kZkFANd7iWuM-yAsLRgjUVPiRZph0ap5SKoHggxeFQxq6XC-RgoDBmbyQgpTqWgb2KDRSFiTIKzo1ghrWlpvwVpDNjJBnglSs4IEGdURsoziT3we4QTjwoiX0nJI8I3IdpmJAAHlUxRtQXZjeFuQxopVNOII8qhqtQE3N8QFU1lqWcSAb2SeARo3sbFZrKVQWI28FR0jFV7ji4RpzCHARgoCHBrQDa6lFW2HccLIo0gSThWBtZgxY_wDdhQK5-o3BF8LUHOdpgE6pUoRxcxwgWnKsD-n3ajn8KAQHNg5iyoDGkmAQAOVBS9Nmp0cKCYfpOyDjDzYSZtKzlFQwQBkjIWcZVaAGt2zKiOd3QTFhFxC20My3FpssanpGwDDiPlES1ONQm0brWNYdpGoEugERCuKDnScHXxsni6XV6ZuIWkH1icDSshi8E4vKBmdu0nZXFFv13m6VadljqAkArDIl4gE5JUIsCDGAN5WqtM1-l0Gwm3lT4iheXnVsNgrW9O0QTEm1lWyOqhkwYi0LP1jTUnkkkiTa60srUHhzhMkeFmqFaGtkEgJIzZqUAAPtHhXExem1wiTINxGUakxWmJ0yRAVVpptJba5_0oKAQAIgHYqjRTLmnEzb2TWdCdTgLZvOU1qU7XOaYmO0gnNkQNZPbpAIC1jZHsIIxBuIKlZTc7TMHORlZNFh5-PCAv5ztBCFTMkwT7LGwFhMEGCNyLFX1FJLtJ9z4SFVpVNQsR54Squ1h0WdJzI2Winb2sJ99lmhHGbi0HG6sHDteZkGbTuqGa6CJPtCzWaPqkuBDTHMqIZ7tbOzO8q4CXwBsBZZ-npGOnILoMdqfRSRpm1sCFQrnioSTbeAi_Eg4B5cTDUJCE6nzsbcI07XB0m-nEoG9TSCZ-EE3unTERKDqgEe-6Dqc4AFhlBooHT-4H3UofVpBkkmcqpRL5IcbgbqVlwqa2gF1_skHGHRH2VADpBvYeUSqUpLnEaQFPqxYH2OJK1QQYcZEg8ZSAE6TJuU1HDFgQCbkmEqliXnSN-VnOhQuLQBMNGxylBfMGQJIWQA5wEA34WuwfUJaIyLKgai5hDoOyBHRiSPZYHBtyAZGI3WxeizSRqIjcjlYtDvIgg3IOMFZZB1Vr5sBbjNloYP1fS-k0ibyIO3lc-XbpxePScA4i8nwsx2ijblVsC9wiBecqJVQ-41Te1lzqY1FwBEDHJQwzXneL7ouKhxLALRiQbrNilpgkl22w5WcMUDhI1C3BWLsDtqSYJDQeMrRuMtYktsfeTdJTWd-lz7CJ8rQLi1rGiM7ypFrqZk5tN0qNDQCN_hRcr8iNcZgn5X1T8NZrO6ZWowrRPaNUiDhdIRaHZkniFtTFxaBzyVGLPpRUBdcakc_V6YDTDZ5kLrvxTlxZHbN0BbABvMIHYSTc-VRoFQNMfV4RiqNqEuaXTcwqy3Bw0TMXykHa_VbG_lKA5wEjMZhSJSsdIOm3utMtLKpDhJwVK2oyoSDLpvuoLtJNiI8rQcWAtPKMGcye4GDuEDtbLmwIHlApYcggXsEHQ54INhhBWSwATF0CVD2tEz5VTl47T23wMKPNK6kL3EfKO3CqnSHE3aEdo4vmZmN7IqbgHS-4EYViVKo6TIIBaVplOTpaXy69hwsC1J508gcoFGlomZZt4KAkYvpgZRrHAm-kg8g5RMISQ1pgkk7lEIA2oCQL4V0MabRB32ukajgC4jIAyFFMIcMgweEZdUcC42jjyjRX1HQDGkcHCMA2lIgnFwUM3owwBOofwjUmM79LcX8Ss2tfHj9dTgvcG5wVEeWWaXeXIA2kXv3gW-FlqNDXNpxBtxuVJNdCueTBy03jdayQaumeBa2nzypjNjUO7tjURws2pjgGtbH1HgKa0oHAEAC4W7Mgt3TYjlcw1OqSYwYwtwM2SWnn6vCrnRLQWyQCAURMtDnWAAU2oVwLWyDHkqqBh83g-6ARJuPeEVJwLRqBkqw-JG4JJErSODA5vICjccGyXWtkKtJ9SIBF1DGV1QlsRfhMwSkOdmBwqmKloGDKKFN8kCT_CzRpovAiSPdUBziXapjwgEl5a0XHKBXUr9pGrdZv8A6h1IEA2-FMwOW68Sf7pboSqAGwG5yuf1ZGKpmQIXLlHaM7magIdqO8nC5KJZJGbcKjXSnTIsd5GQrE1qpNbqkCwuArsTV3EhsiwOQtQPQsARtsFobWgucDpJHutdOvwzDq7jAItHCymmeASC3i6n1lZrm0wBqAIvCluiFaqTdo2ukEW1Y3hMFqdYTGbJqlc6BJ5-FlBY4C2mCbzKnrUCqSQRMgjKmSqyVXkOA4tMIz9IKkEyZM8Ss7jpKo0Htkb5KmqbVrbAEDdbjNrRQaPpGTuFGWgNJDbgEYTTNO0EPAkEnxZRWhjS06nGJvZX4HDsnUCQYCIam3UdR2zwVKmA5zYDbkeVDHOOhkBpH8KunjBVLg2QI8DP3U1ZWZ_-ZadJ8lVrCyACDbw66HjgTBvLZwsB6RDXtLZAPlXRvkVmBzLRyqnZKrG-kWggHfkqjy61JoME32lc6rO5rtcAHUN9lm0c1wqftM4sm4LsaNEXEXMlWXaua003hukC078LXR41ul7bnutCumgBpd9MkmZTTWum8Cm4NkHMlWM6lT_zHwQS45RN11VwpyAIG8q4uoFwezUYuUJTCkXsyQcgKKzvY7XA7W-VRaQWCxQJ2sLpF_OylEKry4AA3G652NbUzU0mAd8rJ_oVammxJM2WKpXsGpxsLYUEqlQEiGm_BQOxxIyIH3WatI55bMk-CpO0Uc-NJmRC34HbRJ8md0ALQ3scIOZQdRY1rp058qdjXIOkTcLU_sUDHBsZG0LpOw-ktLXA6ZzKzbgZ7jqOYbe60zSGnNQmN5sr8RxboBsY5Ck6ajV0rWjukkCxW1XhoAiQQMoHbV0iDMm8gIzVGP0PvCI5jzqgOA3lFwznNcCQCXA5RpHqSC3SCeZRmpau2DExMoI6SRmQceFEhHAyGiXHa6g4OsQQfMJiqtDQ087AlQUJ7TyqRlrdxvb3WK0k89sz8gLNCsOrtydiNlmhHsd8gxKQFoAA48pA47o_lUUaYblAIOJIQG5BiO3hGyMB1SY90YPrtEkt8BAJxJIKLjS09ndBPI2U1AHe4RYeVVw_0NBE-UReg4uZIGNkaCqSDJi_KqVN3c1pt7BRE9JiRCy1HTyLHlaVxiJ-yBC7UbmJ2WQabcEERCaw1MBLQTcgyJWmzvf2tGJ22QKLuk_CkRQy0Xt5TVPSbqcIs7hUaWPHqTEukCEkGtlQkQ4CCpQQBqJmeJwEg5zjtBJSudSqPM7SNiphkhCZbiCcwkagNaAPqBGPKqqtBMwYAI-pVK0MBkXGkjZWId0TJmIxwqJaA0-IySlEXMhxjcTCyzU3kmxHk3RuM5ZLg4EeBMqa0Rp0kgg-yooYNgRpRD0xpzvgKVTU9LpwVEV05i_smDtGlpkEnlVcI1obI1S05UoQgRaZSCjqoAvceFFI4hzTqFjxtCrKlN0gnbgqDqn-aHWx-EVKoWiRczvKDmEE-yBiTmwjKlFW1C5pv3TZTMZxZt42vxlc-0I5wkQZYcq_2AWyfblZi-JZ8AbLp_iu0O0kjbAWlN6ZLYwc3UCPlmOVYF02zfN0FBTAAm42Wd7FWAG8RsFps5AFoIIS-M2DqIIEWjZc0KDMOj4QOyJlv2QVPcO4WQxVjoaJk8BbjpHNaahNzp4UrN6As11IjZRk1NujDgf7qytcVWgRrcCPZXdbUa0EAmc_f3UAIBxnhBRriCdNuUouWgaYhw45Q1UOkTY8eE39OeqCbOaInMIqzIABI9pVT6em_tcCRc_SFZG4DgGQQ0uvzhKloicnfZJSXtNzu4gmD_CtaK9vda_zssgS0EQTayJpHVHP2MTF0MVovGnfSJiMqWLPHOe020yeVkO0lgP7trWtCuJi1J4LWyD7KKtJnNslXQG1SHgzMcqAiSMm6sDXBMkyLhNHOII3G99lGQElwDXR_dBUUzAPbMcogGWwBmJQCkHU2gi4AujUAOkOMFsiYCGA5p0E2hFRNotab2RNB5JbpIIGQil1GQIHscoAHahsPbdbXHOJgEgTiFnEGbQR24EZTA7YaWw4224UBk6zft8oLtIdAiRspiVbSWxeT-FWYQsyQIO6ANYC1oBxsg54jTY8Z_ugYdpOkEDdBpaQ7SQQLQtDgwmO4gD88LFZpjYWjyBhZ26zqVTumwAj3WtagNqHTYSSq1T6JF2D7okGS8SRH8orvrNxfNwLoA-QWkSJ2AWcB1BjQ6bnIKoi6oS8wIG6yKUawc8Wm4mFsaNcaQbkGbG5XPB2oMcSbumfZVMIarATMzmVZP2R5_6tVDmAkjP2sufJ14x4zqtg2bA2jdZdIZrzlpmMI2qHEN55UFWw5pgE-CVMFmva2BGs-VLA7HS3wTYrIbUWhpIkSMBBdpMyXSZw1ZsE_WL3mXGxU5RKrShwMDuOIKzExlrkj9uPC1ilDy0wGgahHhM1QZJwNJxCZjWKganwBpJRPD6CP3Qi2vyE54DbjyvqH4UVbUIEiwKzdhYZtTQfJXbjf2yvSq6tMkreiznagJkATlVnkixvcQAbo5Y1Un6TC1J9VTVrG4_hbDhobMm6MfXBxdAv5CLqjXHUACjLV09tIzc3WoixqdxAMhUUZ4EH_TspQ7qcyfMwFAe0Q7HhWJijTY6bOJVNUZMxaZyitIcQO5wF8IHFxIIE8oyIcGmLQMIgnVsR7BBzXFsZBzhVXeoCSdVzlVBaSRBM2lMDMbJEmymM2m3cNUAbKH4QzBAJ-vg8Iskjmv8AUcJkEbo0R9WTBkFGierdoFiNxutRKk76tEk7k4KqBq1OAwAsIL33BbeMcoG1h8Q06ijQCqZv9kawHPDb3DjwjNn6AE1CJBJ8oz64drgJFzsgprbcixFkUSNLC6L-TcpWga4QC0QZup2wVzi3I-VV0tN7SIJt5RejTLINhyUHP1NbqwMWClaYqj4Pd-0ZWTxj6h-qWhsTyhrya9ItOZ_siEYXwYNwstGdAcMnwrPHRoLRp2DRmVUMyGPJ0g3i2yUaGOxBFrW3UyBwybix28LCVSnBZqiLxdaNX9VrvJjZYikbJubrpMpVKdTSYP0jBKVzpy_XN7qIVuhpE_KBKrA6wKBKQMycosUc4Re_lF-sz3SIBuUNKxgJ-pWhy2LTBUizoKY1H-y1rSdbuJEfdBgrdpj7oEbExEBBX0odmU7Z0dJg5naEaEvi1yCd9kBD9Q77nwgLDpN7QgcOEYVwK4zKxYOL4GYjACwEe8XzYSFlYhUYXNJE25XLlHaMrI1Htgrm07XkBMZqlN_pkXEQqjbRqAFpEkDZBpjU1p3JmeV08WK0QSQ45HCqt9JwxB8kIA-iS4uJI_upsHfQYabZMJA1UEgHdSokRqbP7UjRXjQ2wAETCVKiKs-FmJpwdYJIIlVo7Gx2OvG6xelUBBpNBAJVsxKx12tbN7KIymrABJ0zdZrU34rTrk6ROp0rM6b3OjtcS7uhy3Ky1UiAZaSJtCrNbaYOwMDdZaw-stbcgyPsmJ4ZpBdAJIwbLRVA0kDuA-FdI0MaGUyCfustRxloMuBNhHCmYzrPXfI0lsjlG6zVoYR2m425WGox1SGOH7oFvK1FJUpuFydXxhNWg2SI0mDys72z9Au7Q2YKtVs6LqIplrhrjBlSGtJ_9o2sTMFaIxdQ1r7lhd5Uzo9edWLnw0Ai3K52IUdrQQQOVK1O2qm4ANi85WpDLGqmSSbduCVvpcU1yQYMDCLhy6XSASBlY-sVelV1BoDrTeV0jNUcQ0amGYzCJekXf5jtJuTeeFqMeosOZEkWSp2qx40AkFwnI2WXWXUarddQuH0KRs-gsALTFvsFRnqEwQeclEpQNbbGD7LGtRMABjjOk8jdc7S-JCcwPPhZqS9GINQAXJyHLMaRe0y0EZKoXW0Fw_dNgpYHIkiDFrypALsPbtuqNdGoDF9UeVYD1TQ5sm0bK2piVOnp7hnBspFWZkbzyr0nbQ2oBBd2zaNluKdrrwHCdgrgZw1CTsbIZ2MaLi4NkToTT1Ou6A7m61jKjHCkIGSq1rS2HCQ0EfyiW44u7b5nARJy1cUYbqnF4OUUabHA2FshyNOqM29zMojOXEu-MIYjVDqbrNEEXU-phJlrYb8SiOBuYGk8oAGWsfnlUHUWgmZhZB9QTAJvsosRq2xBkystIm_03AOFgAu0zFiUHF4Jm2rYoFkvdyeBsgYCHETi6CmoATnxwECgmqBBgcwiwC70wb25RaaS6CcRsjJ6TNVjeL5RYqGapxqjco0DCBFt1P7RqYS8H_VsBskUhbfEcqs1WmA1xh2QiGqwGyInBQZqg0jB8KhGvAybjZYac5xkbNnAWlEEaf8AuUoncukdxWUqrIB0iw2KTtlYVCRkTwr2srg_UTBx9UKxpSm0AyCC3ZUO46Qe4cFZFKY06dytClMAgmwdmFBdjw8XAHyqLtgkaTpG45RALTqjIClrKbhLi4mBiUgmamiTOTczcqrE_Vk2Aib2lGmmhUgkNn5RGhri0xp9jyqldDtZm95V6QHEY-ogyhU3kEAtMzNlnv6z2jXeWwCNkaiAgGGxfJWGiuDQ7VcOwtROzB0tvcqtH13mB2oC4w76RJ2RKuw9okR4nKJoai7FgMLK-uIlp2VEC4k3uoosbBIFxsoLaQ0jN5QKGzcn4QNg3EHhBKoO6duEB0sGnTYG5JQNGoOOmSOUCsGkbX8IK0qm2vA3WOUvxKYnUARAAjCyy5rgdUn7KZq4RzSTc3B2W4QzGR3QQTngI0R9QuPHBVE5dpgmbyBugoO5pveMcq6HcdbR4ysqdgg5sNgFe1UDpaJgXtOUqJF-NpysyI6mdR4KtFQ1zCskUmYEHJkk4RrXTETIIwdirDTaw5jg2zuUqURUM6oueUiRVrgwgkfJUzGlbvJM7bqxpQdwjVutKIImFBWLCJLowqHA1dwiQPsolVLiWRgcpHNQPBJ8WHlVYZhJFyQEXO1Bqa2TjFwtTpr4abxABNy5TGQfVjP3UkQpHaNW5meFpU3VXSIP2ClVIkEtP7h-VllZwySbKuhC70iIEiIQO12oQbH-VBXSZESAVRSmxt7Q4ZWaNDC1wtaOf4TAobrcT4UHBxa65i6twuKucSdIuPCgQuPhwIi6B8lsOFzmLQrgqGEtADQSMSoy6pgSYg5OyLMReS0GHSXDCKUDbVBhAXOMFsgWsgAdGTINkES7U4NOEHENEyPYoA3643mARsttDVpxNyVNYc0duAPdEcQW21d3Cy0ZpaQJttlBWk8tkAW8hErQx9xDb-6MiXgyQTA_aN0HNPpgRIN7IAXdpbAmMlBzAGk4MjKaL0odkAHIVgrqJkx8cKVmlmYOoR7LDBapH0gwIzyUXShpJkEYmy1q6Gq3cHHzwprWnL4JBOpXTYVwII_iFfV0XVI1CJERE4QTfUJuNyJHhA7WAU53JvCmAtYGkxa8ylFKRMfSAI2UwUNMOGmNQ5KX0KaQIu2PIK0R8_8AqfURV0EA925wuNuO3Hp5zn6vqPaMQjQ06hGT7KWKuKomzryouqgxZ2eVlPqrSIkGOfJTtozXHBuMwVkaG1SIkyTtwqGNYf6w4bRss2BDIBcSATcEKUXpnQAJN8EqQxnqOdqu4A7zwrRJ9QNOnLR-VItp2vDacxpB2V6NXovbYnB2nCeCtzcNEeU1rH49awkwbDyvp34KjIa7JU_0FztTgN4sujK1LuLcWWpRrcARc6jFitzty5UrhpaD4SsacUxEg3hbgtT7XQ3PBwqatDXcAcIy5pAvuVQQZfMJiKNc5xbpddaGhrWlwIkRZBonU8XMjdSg6y2obkneTdSih-kajpHCRT0iGxMDhaRpAa4dpgIODCXanXCmi1J2q0EbyiU8guMAEclVkzWENnIO6DnEkRkrUEwADeAcqrh-8GBYndDFGQwaTmVGLNITqJgyJUrYlxENH4URzSQDqEkqr8Es2J-yIi7SzGQrrO3Uy_uLtUkbJqy6oIeCTACyqUaah2BPujWqOBbOJ53KBC8COUb0HVRDTEeyMpteWnU648q-sdQ-uRAgjITBVga4g5OVFWc3U7ILSN9kEqrIeDYeyBXwdNtMfShE9MPMDuNoRpdpgQQSN4RNHqJLCMfKzVea5hqNIJuEw1ke3UHSbAomsfVMkgfSOVFnaVNjYkGSDdc7rQOubROcLXF0NPqSALLQ0ilqbP0kZHKIdkw3clBYS2AfeFm9B4LhJJHsp7Ew1NtpkQstLAgjYKxKUshxButOdg6ttpTFguIJGnMboJOAMGZlBWm4BoF58IqfURpBmLqs1kJgyIPsqh6fYCSBflRoXnidXCRXElo4J_KrU_sHjtwmKxPZqJkXhVE7MJkm4soUS2SDMrWOeHbJNh8grLoR7e-49zygYARMWQGbbiB90DAjSbbIA0apspehR1PtMWMLmuVn0OcRMoslhazTJvHhcq6xjqNxMEgbLkoODg0WEHdMSndSAYCbQJ91fjLZ0gDmAHa8eFIrU1sttduwK6i_TU7kAwBi6L20N7ZJOEVoa4vA9sqYGY0FxEiw-6uLDVHgEdotGUxOmWrUOqIhZoUtDwdWOEEaghsQPcLJIF2bmOVW2mn3NA1aeTypYlMQD9N0RCsGaYORysdxGCtRLm2vIsAFFcNFIggT7rIsNMmG3yrF1voM1QAYIutVqTXoMJ1CbA-VG8JUaCZgtycZVjNn6Ua0tbIuQIK1WcxSk12XT7qVZiusERNt9ypppSwiHOAJOyuoi-Q4usQVOkRqAvkkQ1ZdJWWpTGoEgSBc8qtJVjFOdWq4WKJte7VmTys_TR6huoEj6smUD9OAYsLXtZahjdHa7VvhaMSedUnJFlO0vTy6zdVSwgEZTCWUuoOEQAAd8lYxZ0vQEggiAMLcXVtLgwC-dioaqB23Me6NGbUguIuJUjK9My0FuFuMVZh1HuADXbhKzptAa4EXIytQxL0SHi4F5SoQ0i2LwFHWTCEGnMQWHZSix01Kbgc4mIUgydQRAESPKUZmVMAN8zKx6oskmHfTH5V6gGgMmYuudSJl12gSPlZrXhXPk2kk7qLqWka5BJM4jKCzYgSZ8LOAkaxE_CK5n-VFpnwtI1tHqsuBdApFwMIOawQNRgBBdtMBt_pW-IIMAgNEg2JWhVgNQ8NOw4TRoDQ4aAQ2-61ErmUrFxvnO6rJXsDjIBgcorVTMkDTj8IxyWZTEuiwzdEiojUQDcC6OuOY5oMETurijUGppBHsFFZy1oJwHHZEZ6rTMAG_lESADbDnKIV5AdzByiGDwYDoIJlAXkFxiLjJUo5lOwM3GSFFiTwA0ncLNaTJ2N1zEi2bwgGoMcN9igZoi4nKBnEiDcGYnNlfg54mBufCxoDAWgRJ5hO1086s4ViGFgBmeVQzXcABAzTqPtsEbUa0EzyUDkuDiGy1BzTiLzkIzVYDRJueAiCyq0Ezbw5BnrS4RIti6DOGaHGY9kWKsI03bB2KNFIDQB73U0dTsbneZj8LF7rNU0mARK3JiGaGyQObKtYdouYIxccoqrXtaGg2BWcTXfW4QQRutJpmjURYCJ3Re1mvgABt-UVembXv7hBoY4NIGojaylZtAVZMC58qMnqXaBACJKyO7hwNpWm4QhzBEm-6sVWi4aoIEndaZ1pe6YEgWRBY4uMzcWurkUKhLXcnBAUA0EkmRZPif4jVx9Ujlc4s1mnS7E-AjZHPOo3I3AWugWGffndQXxfmyg6IbMXCDQymHUw65IwqzhASyMTPuhDlwuTE7KVpHYkfhZHNf4wqCapLgRlQMGCxP3QdUBJtMmwIOUEQ5xsTfygM7EoHB1WcLbKUVBaSBMhZgQt0vGYm9lqpRDjIJuDwLrIZ0hxMWN04jmiWnUc3kImKNqAQIBtgYKy0zvbc8G66QwrSSQLl21lTFWtsS74lZ9IRo7zkX2KrSwdtudwqactLRJE-6ygNphwu6XFTcQe1rYGVAS6HSXSFBakS4E_2RYDhYgt0-6BmgWAO_wB1NUQDrvJSS1FQ4OaBBPutZYK0ngy2TEXCRuHfVgHSLnhaUGEuILfYqUaqbHBhc1xA4KodzAIExF_BUZpmOmQQRGxWoydw0n6c-VRoZcXBJGyNxz3GIIsqUBJkECfOyjAGM6ZI8ofDSC1rXC-yhqYYDj6f7qVSu0l2kDAm-6Ec5xcO0Dx4RrsPS1Al13zOdkUXdrbbnJyFBSnVJ-okE4VGlk6JMCPCUqjSLbtiZOyCrCA0GchZwTe2CXTIKg4OAdYRfPhVNcW6sZBur0qgYMwUStdKCBG_KyylUAFyAQixmf8A5ZktERYBI05o0iSLjLkAqnUYADSL-6BHvDMEXFgSiaRjHEgltoxK10ptMguMABE0S0DuNpxCqucQADMRtype2aDXd3a2fdZTReyCJ9yi67TqJIcRbCB6ZFjB8oL03DUSMHKmoo48GHRsFQ0agHZvzlBNxGgCJjJKJXSS8AiPZEXZfc2NpVixVxgTMhKlKGzpsQ0DHKxWChjj2kC5n2UBY68RAlBxEugavYboB6ZOoCB75UHAOJAg2H7tlpqO0gwcO3tlabK5oDyCIMAglARUJgm1reEDNb3Qb5MbRwgq0aWwLwgeSMmxQcJqRAiODZDt85-t0dFYuGlwNjGQuXKOkea4NgS6eFl0n9ugn6cKapw_TBRmrteC1sXJ3KmmrNBeSLg8JrUUHYZcD5Cy0LiHElBQRpBgDlAzNVtU6Y5WQwqyJk2yglUqahLgDHKCDW6ngndSqYmagBkeyyjRSIa5skATYq1Yc1Q1xBJN9lDX5CAJBIzwSvq-n4eqskS7I4Vw1Rp7kjKtMkGIEjlbkc7y_TSKktzfwtRjYZ3YJuRC0zPTNNoNhlajZyXX58K4zYoPpiYKJjm2jiURUEBaQWzxnjZBppvLiDMDEINDYn-ylB1XwIBiYUwVhpLjJgH8JgLXAk6nEt2Vg4EtqNhxnN0qa1esXtHOENWpuLTcnhaRVlQPyPZRD6pZBgEcoJ3OfsEHMaA9xmR5V1b2Z1QAgTeLJrNnemAi5ufeyjeAQ0GcO4CGOY40y7BkRHCqGLiYAgQLohA4zm6T1U3zqgxJCidXqg5rQ4SET8ZBktuQABhFLUzM-Qq1ifqgS4wCVEA1psPsUXQu4dw7cwNkSks7JjjyFqOPLau1rogQI3U1qcaqwECNwo1IJY723VytBrk3yNkxa6ZN3AyrjO9mMMJMAyeEartVibCcQERGs4mkY5mVirWIm0zAOwRGXqJc0QRoBshjNWIdBde9lj-lnTOWkTcaZVxuUzWkCduUxrR1Q-wgqmtbCdADXC2Sd1jvVMGw0OLrTYhbUQ_TqiT7rNmiurWQMGMLOWM6cQCI33VZ9F0HGd0DNcSIge6GmLLAnC0rnAQCCPcrIV7hgGw8KCTXGcwCFUc58ATJIygzOfcmI4IWmc7GnMZmeUah9Aa6SSCpelwwYYkmR5WdaLUeACBkrpBkqOvF4BSiDiS4Ha9k6BB0i4t4WjD-oIgCFgc53qCZj3CANeRkwOE0MXBwEi4sp3q_DtEkSLK24H-i5iAue61g6plv5UaIGF20R5WVQqsJF5F1mwYqmoOIcd-Vzsac17i2CAADAQMahm4BtCymL0KwMzjFkg20SHgyThdUXpOjAwg0sJ0GA0g5RqavTeGwTjFlnyqs5pcezYW2lXUJUh1MNMCMla1Gd7iSfwVlQnQDJgrIzPJ1H4lGo5rg0jebKdjVREsvZUPUIZFzKJWLqjLXaZkbrFJGJr3NMEg_Kw6SdCGyNbsTgGVUzprpuwRBdyjFb-nfobcCd0deMXJLnAWEG0LWNHDSMuJBOOVOxb1BpDmkduZV_wBZ5DTe7U03c3Fk8YV0N0wZaAcjdE0jqbnEkOsLhTV9UqODWwBcjhZa15fUB4B79pWsIz1nGN7CCosRcSWwYhc60W-gRJUpjtYc2Jn-VLcB6V3-c2x07ytcR6gcDTaN72XRKmWTJFlHL1g6uk0OMSI5UrfHYy-kJt3XkKNtdAwIN5VDv1ybGBaygXWRZ0m2Utah2VHCAGjF7bKajb075pi3bwtxFu0ADbdVzotmwbcqxnu-Jk6HkG44IwlWUS8ny7zwo6alGrTnOEU1d_8AliJu7ZQeeahc4umXTF1ztCEkNaREg3IV_wADsktk_YqAObtus8umozvIBELmtT16fZGYbtAEEkn8I0cd5AmxQK3UH7hoUa7WDTUPgcFVlWg4CRN9rIKFwaCSYRPpS0m4ctyKoww28gcla9MPkQLkmViyjmucYixGY3Wuon1YO1mY1AnlahWhjdZgE-5sukMP6npsjTbEKVkwkw68zA0qJY0NI0ET3C91Ekrg84gebqt6pTfcnTsprR9Za6DFwqIPJa4gRG6HqT3AEmbcoiMT9ILgUSJ1jpAjPAQTDodmYRFabSYJ4QUcwhthnyioVJEwCZWa0i8w-BuuVgWbETMXUCT3SIQHVaL5uUDBhYbX9ygaYyYIxCzYO1HuJz4VngYEBpzIUnoZrYIJdnZaDkhuwlAWOkkiwRpSm4EzAvyUDmpGTHMIWua8OcCAPdGVHAAEzcIIvIkjPugzu7XyLxygYTUcMWmyNBJbbVjkIrhAguUwc2pJht43WcTFGMe5gMYytmGBEkC3CJ2IJLogSBbyhqulz7RYIg02Fh7TdFi9P_L-d0acbk7jKJ2s0xiOEVpY4ubDYBmYKlYrg7UdOkallkxdAuDOwWpCIVSaZzJO3CrqAOpsmHHbwqlGmNRBFyCmsNJPYATjlOw1EuweVv4qjmDXqJAuolSrgiwAnwVjsjG8EAgSYVbiQdDnOztCiuqSSCBfdAGuuZtwgZr9YAzKCjbDeEFqdTT-4xwNlASJIvHtuqzVKbJBEkSs1NZiSD8o0JPdcGVFBv1YnPwqKRMbgKBXEEi-k7EbIJhzSQ4X2BIVBYS57gSQ5viygLjeZicWUo6TqlsgmyuCgqF0gW5ndMDN7DEkDxushnuBFrNmIUiQC4gGwPsrih6ZImBI4KuLhLBonHEqqOrTEqVBdcFpAPF0hCmxLidLj-VdNUpS0yLhSoatUe-wMQsoSnUIcJuOOVKoyWuxAKsFwIH-rFlKKSARcgeCoHLS5wMSRcKVYZsRMwAYCSLVC0OA0gzwVvqJlc2mReAPlTVwaUtv_wCFVZ0Z4LhMEeysrSlJvaO6P91ms2nY5xcGl0g8JElVpnVYi_4WlaaUxBBByokOGmQXDMfC1FxY1HFhyDP4WlhXgxIk33SlKyDJub3WGKZ5LRYDOZWlzo31NkzBtPCEiT9TXG1jkqWgwSZJ2UajiYsqrhMXzmfCgXO9hidlkEdpJiTeJ2WhobJ02yi1WYOTvsiFNxYi1kW-ma79pyApiXoKe0yL2MozhwS8mIgZStLsNgYib5UvaapTLifLRlTGYAAAIcbzuUXO0KlQ6u0SEaTAi5uCgLheHO0x-USiaZztyiDUeQNMCfNlY1GcibRF9itFc8lgnbhTUBznadIEzc-ES_20wNEgAQLmVEcbtsQOSVApcXEdwBGLICXaXAm054QXpTAtA5WcFA6XESdOCYwtBiZEjZBNwDpB34Qdo0lpMz7oytS1FxBxkE7oeKiwIgEZupqaLqmlhuIAkInqWsOdH0k7mUwwwcA5wFvdTDDU33s-yuKD3kwdN97qWdACcySJSEM8EPC02GkFkNtfdBzYaCGkE4kjJ8oKt7SL6p3PPCGmI0HUM7gbqds64VZBkke6vjRgRf8AaG2tupg8z9XaHdLIB1C9wpZsa43t8vVIcDpE_Cw7BTebg4IWbBZrTE4ErNSqUyAIFzkqYkWZ1PsCD90bgOqOe8mPlXpo7HnV3HOFEaNRBGmHO3KKd1XJ4Fxws4ggAiP27pFIASYBKUJWeaTcAGYUWIv1NEx78KVGik8PYCRi0KyAl5bYNEeStYPyewRBm_A2X02PwlGOGrTstQBoIiMojRTdY_ytysfisx2ncXWo52Ka2uIvZb1nKNn2GVXRQRImRCoDXkSQPCGCXkGSomKMMgRlGbF2GWEDKuMna4ssLGyo0NMtjDuZQO2GvIkkFBRtSBYn2ygfLhNkRVo1CRyiYdgO0WKhioB1AgWlXTGgSCLixm6CmRLpvsER06SIvbdBzyQJEQUUCTgFp-ERzb_UfhFFziCIgDyjUAiBMz4hXGa4EOiBEKoDu283U-tfHOOgHcTmFXPO9Sc4PgkF18DZZbI-SSHEtAujWOL3QbyMYTVxNw1NJPwEZpCZqAgROCVcZOxxHNxCiudY_wDCumK06ga4E4KYuHIvNwZkBIisBzeI4V1Unlwh2-MKpR0x53wpbiwzA4zfa8XU0OJdBsIMQiI1oIIMgeFDXnVCCIaSBFgi6m4A0gCO7gLKsVRgLvDdlBAlzvpwM2QEHtuTO4VailIjSd3YUqqNbAk77I0qBrpxG2FQGt0sbY55RjVmBrJIus1ThxAFoKiU7BqMblCGdNxHurEwXGwPGPKdKBcQ0SQbTfZQ-le64JNvG6x22XtDbHK0zib5Fxc_wtRlBxkztuFVO2Dc3nhFkPOi3HKrbmgkCVL0J1u4cXUl1GdzYmFr0IBEHxup4AbgG_tC2A65iDH8LF6BiNQmQDusy61YBOuBYiJK2yXXBEgyMeFBajUM3dAHhTksUrgxIEWgrm3vWEa4nKLFNFpM6SpipuYIxjypYRlrtvqLRHlc7GkKlyCW2AWapAdVxYjZYRUNebWHtZWD1OmIYNLhM29luaYpZrrZC0kaenPbeb3sjS7nggFsx5UsqLMc92DFlkJGpovJ5WoygTpedgqam7JdBws4qbBaZ83UalANkl0E3Rps6duiLnn_AIRKNarJdAti-yWK8-o-XBrXCDmyxyIzVW6TMiBiViOsClqDCHCJ-yo00iRTk3vYFEyfW6i2GDE5KRWuiWgm9z4W_gs6XQGEdu6g6k-dQPvARMUYe4CS0Rc8pbnTnfVBDBAMgmczCM4V2rc28Kf4bgucADyfspjcrNWjSYO6dtzGCoPq0tFjF0aSLi6SZA9lmoke1o0yOVgBrgzAFs-UvadnZXJqACBKSYN9GqNJGnUDghdWbXPkn6g0-cFK5pdS31WFwEEHJ3UdONYHGIm8cKVsG1dQESFgUpVDJblpzdaFbFoBJjYIOPc0EEg4lMGmjYASAOeVqJfGl8vAbqAOxWo53cUpVAJ1WcdlWZcT6gtkmDdD_GehWJeA6-RCy3Fargy4EHdHRCs5waINpsVKMTmFrjJIBOfK54Hpw43JAIiAthmu1OJaDGLrODngVDf6SIkqcorM9skgmFyqIG1QTJjAChqzTJnB9kahmkM3mcBGo4g6hYwi6rTJDrx8IilEOLyIFlYh6kAk2vaFANQmMXV0M10l0C3unGijHjBXSji6CIAgLM7DgAEkfYFbGinVOZGMLXo0sjtkSdkMPTAY43iTdGVWtJcYAA3RrDOc0FoNjzCJimnSLGSrixMSGzBJn3US3AqOmbeMKOd5s5Gg3sqxbaX9xIAIO5Q2wlQhwLYgjI2KN8bqTX6AWx2yjSzYJhoIsixWkBgtI-UaTqNFMQAfdTBjJnVt8LnZRNxANiMLHgMG1sD4Kmjm9rbkEcKhnva9osRfZAA4l-BHCoZ5BdyOIWQskjVk_wAIq8y7u9lUF4DbcI1BECWjCK6wI3ujNGoTNjIRDMAIImJsgrVqANjJQZqjrzlKGBDoxfdFwJc3GRwildL38g48LOKbTpIJEkcqjtDWmOTsoLMgBwA-60hHVIIO3HKFMx8Sdot4RloaWloJJCAtLiQRAjYosH1CGAEQcQjSrAHQCCAgcNki_dvwpRppuDQbKM1VlIEcgDKMyJfuMgH3Wlwr36mgEwUaRa0tgkLZVaRudOSVlixrZm97LSEDiKkEG-StNNTaobyJEWWLoy12zUm9t06wRqWuHCJWWmV7zeBBJvZFICYMSBwVYO8AAjN0orTEHUIxeFA7XAZOApAGkudYwPKo1siBA-6MDqkyAPYlEibmlwmABwstg5hJBIIHhRRYALCxPK1ArnBsjBUonVMN5soFDYHbb-y0GYQ0Wk-6gdvc0bkbqB2tc4Wu4YPKDiIEGxGUAe48HMJgJYbTzjCmCrSAJmyq9OjSWge91jDtGoC0uIg7ArRpW1CADpB8FU0HO1giY9ip4ho1AxduxJWah6bjecDN4WcTTu72tEwPZWTFiYZoFvyVpVtWk8hTwUYZGTdQMAdUGwCgoDGbQUDFurURaLWWpFilrZtiSr41DNfBm0beFm9rrndr5mZ2CVz7Ox0nulWNymhpcXCcKVm9nDbjugDYKLFdcEEw44jhWDRTeA4Em0fdXErQH7iL2ABwta3FNTi6JAAySqokgtg87Il8TcIMMIEmJIRI7TDQDsbkItI4DmBwUZoS542IupiSAXyByMjwq3rmPbpJweVk2JlxHkEI0pTLS117hZxD02kgOj2WhVuRE-Qk_tNV1FuTPuimGnUWlxAyTCJb2V5JOqQHbDYhFnZtMtvkboGY3TAFp8IVdgD2iSPZZxnGpgAYTkm5ViyEqC5LYspvaspcYzPthKEFwRIjyoAGgNsb-coDqvFpO8olKTqLoH043VxQcBOYm6tC6e3NllSjTrM2_laiGMslokghKzelWvt9NtxCyhntDmmYba11cCNxkEjfdBqa8jBaRudyomqPaCATYNyBuiuN2AHbhAkAkEHFkDsplzhJ7blE8UY6G9sybjeFms00tdB1Rz7qMuINTgGYk7rUanhCDqjIIiFQz3FokuFhACuKRzhJjChVGYAMLKQsw5rZkETC1Maw7CS2wNuUoAOZIDgb3yh2DcnU632RTjsJJEyURQDVxJIA8KT1CllxMzggq1owIGMjMoMf6k_VTJBEaYhSk9fKugEWAGJC5u0ri1lwDhFwWPdDxngnCzT-wa4BpMyVCGDg3gk3soa0UqmqSARyCs96pw_UBMCCqGa-ZBs5RYqx-qNX04wi0znBk6ZlAoquMkAfCz6rnfSZk2uMq4FIaG3J_wB1LA1F0tcLEA44WtBqVDqEDZUfk6iRqyIyvp34SzgW38IgMcQbn8YRWqm5wbpJAWpA4Hn4TtmxzXT2xpK6xixqYSRMiYWkOZLcxaVYI0yNUQSVRVzRuVjPoYOhoEhWJfFunJzNlpzaO1zSf3bIHpsMzEyguGyLxqU0GnAJ2TRVrC6DNwmijJIjHJUooXm5FlBSlVB591qJrQHSLuDgqyo0wf7IC8xFxpOUahLOAaLCESiwQ0HZALOf3CCTAhEE_VBuArjWqgjQAbqp6mG2kG4U-mO0g2vOZT1ornQ4ajPjhVMSqVA2SRc7iyzUqT3g3BmQprWpvrEm_wBOwUNI0lonUroLT3RkcomCHXm8KpFCWvJAdfZGlabQ1sQSZvCCj6kAhwLfcq_GYVhDiAIBi3lRaao4kgCSAtsgJkGY8LNa-LU2xLi7AsoyGnS7STMmQghWMNc0j2QefVG2CEWCbtAtI-6xWmOoCwkukmcoIG8WgFApbEWsUDsaZFwfCNa0gB9pxsFF0NAgRKqbqopyL3kbqVIamwjTPsFF0xbIjgoaZjdJibxlBQmBAEkZTTUy4neeANlaOc7VOCBlZVLV3G9lqNA51rQqlTe-xAOco5gxpg44UrUc9oa7ePChri7AM6TgZRZVqTWmlBykbTqtAxELQjp1GbqoUtM3cICmiD4D9z5CoOrVcG0YUAc50A4HlZjZGuv8ZWtYdALtQNjtmVN0UAcIIFt1KLNAeLmD5WFPTpfN1K6RU2aYMCN1lWSo4AyLHlapE6sOEA2j3Wa1rHVkwCSCLLlTRYC2cOEZWNURdwdOcKwjd08h37rxJBXSDY1slxBMeRlVnxooE4JxiVYas2xD3RpG4slPFmdzrOIErFUazdAkGBstMs1UTJmxCCbmdgAdB3CzViLmyZyeFFUpsGoA43RpuoUhAiXRwqpesaWyDAkcqXR5FRpDri-0LFWBUgS1wzysOkQcTZoxwqNVDU-LwIiUGmnDCPfKsG2m_LpjYlOxUu9M2PcdwqHpEuNyBJutilQaYAJNsrOTenPlPrmTG8TF0tZOxp1mxIPlQCpTBZA7hMGDhFZqzQHf9ovClWVnqUbuj6bmCsurO4NDXZN1nKiDgCAGglTApnVuAQrmANADwBaOUG_p3Nc4XuBEDdaSxWpTIwbZlVzvGpvM5BA98qLGSpRi8ZwN1muiIlp4i18LkJktvGSuk6FqLyB5HlVVKY1P0x5WkbaAcTE2B4wqNFYyCZFtt1fGbNSpfUCLJPU_GVaqAWDTYbkrR-OMzGw4ybXusVcS6lxgCbDZGgDtbLA6cyFDUXGxkkOmVkGBbv8AdA9GzA0G05K01HVQNEATHKzVZXNIEj-FzsZzUzRGcA5CyYdnDbeCjQBndJhZFNMgnPhA2s02hoAhXBWjUIcIsAI90noWqQDLvqzZBzAYBcoHDxDjY-AVuB2ankEdoWxYxEflZ1OSdg6WDuU1matRcA8OAnkLpFyN9MAxeP7KrqrAbkkEZIO6vTKjRAkQ28zyoptMeZufKLpmvBZpjS7dXVCSHC3sVEpKrdRGrfhZ-uVnbhSkcQtLiT2cC_nKM4zuzju3KjXGEAnum3kKtKTAEAg8org_VOERxdINx4RtkqFwJvlc6JwTaQNid1gF5cWxxgBQMBa32VjWDpJbi_hL0YIpkPnVKhBqN0zpKJQYRjHKEVaRl1rIUwILZm-QrDQpkhxJMk3UXVCWlpMwSiUoEOgDbdEVLYj8oAZDd0EC17iIKB2ANA2jZGnF1piEUrXTMb7oBUtEumFEBr5kONkxTh29gjNKHeo4mfiFRYDBN5_Khh2tgm8gn7KodhJEZWsbXDR9RMEBZBALTcwgqyXEmYcDHupRppEagYEjlSIuHgyIIEyt4JVZLhFgp9EazTF1pI6AACTYha-KpSAgDjCxUVbLQLR5V9ZxYNJcRmFvxT1GDTYOjwpexm6h1gdU-FmpWV7pcJiFlqIPBDonyjRWAuMke5JQM4QItJQANtEX3QM25IiyDRTsQJONtkGhrdR1NjH7kHEAWIk5sjOD9UcG0HKzVBwIBEyBsooBkkXwIIWoFcWkZFlKIuY0knICgOkFpJEOUZ8K2zr_ADO6rSoBIbBA9kDtxYwZU0I-oA6Ym8A8f7pAvqaoP1E2nwtBrwCXCf4UBFWHcAq4HDgd43us4upvOuzQYlTypQDWtBMgmbLQngmQEDsEE6gcWhYqVppsY5oDm4WWSvYGmA4CDlSerCgQHT3al0aESwAEtIGwUorSeGuJIiNgcrIeQ5xyZ_CBxLgNo5VD0wGy4XE3CurDOILjNlLVotJAl1wUhmG-sAAQdnBKlcGaRBaSfdRFJh0GYRdUpn_9H3RVg2-fK1INFLvzb3wtlaaRIALgAMK41Dizxw4XhFSc5wgGc5GyzqWuGpuRN8Aqsz05cXN0nOco1UyCxxLoJ2hGdNd7bCB_KJqZaQ6MTvKxVK4HM9x2CQOWMsYi2JRrtNgkkwirtbqEC0DCqXs5aA-WukHaUTFWu9UEEgznyjeHILbFsGLhEc7SQJu8D7IQsl5E39kVekHHLjYoirXCZDRMqDXSH-qympUq50uLdQNrxZSoyhpbYmQDsikqgTYWzKKECATugcWBaT5FlArmtIG3MLUoUgHJJ2kJUMaegCXH3OyRSPbHJndXS0DU1fS0ggWRmup1CLC8p6NFFo1eALgrLF6XdTDgIOd0TSmWkAABo3CKcvaQdnY0ko05rTAMZ4VTTtfeNMDgopW6SABMSZIOFEquoNHmLEFSslA1vN5M5NllDseW3IBEwqSOcckmYsOEClun6qYO44V1ZQY0uDiIDRiVnUtUa4Bt7wEWUsS4YMXjwtStbFSSIsRNplW3fDU3QLgEmbopjUOsnlAwJgD4uiD2C5Ntp4RTAsIIuRudwVnWdKWl3gHflXVZf1Bp9CrDi0kXKVZcr5J8h4E6r2XN2Fzr3kybpjWkc8AQLtFkZMHmbWEcLNRMvAMNkbyFlNaaLw65-rkpjpFWGA2RqmfhKuKsNwZkrIrIIHO44RdAvgG8gIUGwDbAF7okPMSf7o0V8log243UorREQbaZuN1PA5cyT3QtaPyfUYBezTEL6iPwKdrw8EHthXFjgA51ymCkEEgkkSIWjWgEBvMK4mwrXA1BpF-V0jDS0kiJj2ViGc61pBFrJQlwCbA7HlNCGoQ-Hb3laFaRLnEWubFCzWmmLfyjH44swajiEZaWOLGmcQgs2qGjYxypgWd4EFBWk6CLAJgYPIcpgq12oD-ETVG9lzI9lYyq15B7r7KrjQxvdmLIhagLrNvGQhgMDgCfzCJ4uHCw2GYRSOAbg35KNCLgk2Gy0lAmRa6auiL4BhZRN1S858hajTtNpm6oj1AknJjBWKzfWZ7iGgzBbmFnAgcTYzKYWqNDSBqgcpiwmsRDRhaU-skS42jYpOvWT07AFlgMBapDCqWQSYaFlq3o7v8AMJMRjF1WYqKYLYge_CjRQ8sABMDacrWsDq7GNzyeFm1r4vADYglGTtEUsjVwgydQ-HGYM7jZBlrNkWPcN4yue9jK5hm7cXnlbxqVz6cDBg39lGmGoSx1iInlRCtd3TH_AO8gu0Ta2pVcMyGEW2tKixQkgi0tFgeVIqjSGzPxeytTHNBLtUW4WUqrmgYET5RBGc4sgo5_cLe_lGomRERkmZQ0rzIzncIsL6cqd60lWgDSPlbSpgaja_sjJ2ui1xdTDSB-t7gTbAKhp2gg3hFkVBjBUbSc6bFUpHWaBC0iLgQYJtwqEMyDHwpq45gMYAKxasK-RAI7UlUpYJv9lNxgp_yxAjKs9VWm8mJEBOSLMAImN1lVQ8sZc7zKzXUKjvUMG0bcoJPoHTgKtMrxomBM-YhZqYhVIFOxLiTiVyphGuBZ2i-IXP60ehTlpJkDhahHoUXaGDOFuDbSvSbIJm4WkU0EmD3E7omLgSAC2GkRA3UMWYNLYa6f7KkF-pzfqkcKWnqD2giSfhTWmZ8ySRqnYKIYAOjSIRnVaQ2wNyjcb6WpzdLSQ0flajTP1QaRdobF7LN6NeV1MktIMxwuetRneXG4JFpmLrONwGt0sNoP5KCwdLQc7KjVRbrA0n4VlxPW1g0ATckSru1TAt1NIEm6oanVJsZB4U6FjU03ImRygtThwAsBMlRiyGIFMAhwVYS1Fzy0GRM8JbixKqdDCSN_dTTxke81HSZDRys1ZqVbtJw2RhV0ZwQ1xIsdNgd1mmovJD3AyQVLRRrjIIGlyzA7ajab2mZP8KwekysHUwAIWz-kHtD3EDbKrMsjPVBl1ziyxS3pmcYbpIuFn8ZO1nibW6Z1EWPClv6UWODKmokxhWXStNBwLtX1cLcYtb2EBkzHIWo1LrtOoEmbK1U6VQU3kTBlZSNTXB1N51W3CvqsdUObnuthQK9hdTtwqFADafbbgImMmuXu2nZZqrslw2EcpA8EG4gfytNRxEAjJWaJVDAsVzIi52ojTdYuqZrAbASed1nQHHSDGTsgLX3j9yCgAtvfKM09NxI5jPhVYZ4a8f3V2qnMAkG_lZBbBBmZmxC1LhVQ-PHhEhw8Fu4JyJSK4iLjtJupqSxekBTbkXzddYncaKb40zeP2ytjY10icSnQAc_VEw3cFRNWaQbAfKGwJIdMgH-UWOkSOJ4RaqG34BUYzKWq5rWyTBnAVVnfUlxtBxMoIOMxgxuip9zSRG90QwqGTN_dBze91x8BAHN0SYA-Vm1qEcJbqz4RUSNLjiSfhcqoEk1AARJHCgbVsAMZRpzXasEggfClBJIE_wApEMYiYzkqpSHueIlqILXO1AE43KB24bNggfReRcHEIADpkQgdryBmTGDsgZlQOtPiyAk2uJhAodBIiEbjhfePdAC033tCBQdAjA4QTOki95wUZtLBHiyI4NidwBsFBajLSHRA8KqqHj7YSrqjXCJJgT90ZWaRouRH8rWta7UCLW2ghSqq06g63_CgYOvGBu5BroAaZnV5QO90bfK1E0PUJziFTSEkzaZ3KYkTeQGwbgJi6Zj7ggYsOEKuxxGrVadkxlUF1MiLz91dPVXVdG8p1Rlqgl-M8rPKprNVpsExHvKy1GdxBO0bFF0aj5-psWiUCu1WJAgHhTTTGxBsSSqAHQ_t-YQaWl2NRvm2UVRhBMwNSB5MRYf9yI5hnxi6Kq9gDZ_KmCbm2JbeQgkIDhsOVAgNr7nKgLXtJGrtnMpUHQQZdBBvdIGadJJiJwigRB2uqOLbxJgycKBA2ANlaGcT7g7SpoAYXE_dTQ5AfpJFwU0KSROQRwliE1ATsOU1SseCTquU0VYM3HhCrDvuHRCxfMQSQ7YHyrExKqSMG52VjR6LS50mN5BF0vYrp8g_2WcDBx06dzmFBemS4xvF5KCmkATsMwi-ENYYaA6END1LbwdkXVmu_wAsEWtgZRkdUM7gTKDvrPDY90FGnQ25EbBWLGik8HO63DVw6C0CCAVVXBIjukcIau0tMEGUanZKpMBogzfKmM6UNIIJsdgFU0WtmdQafKlXVHUw0yGwCI8hVcTqO0loJxyUSwodIBMcfCmBdIDZkmcDcKN4UjSQNNypR0hpybKToWbUzqEjkbrSuLpaYExeEQ7XjTiETs7qkAGYsiuEZzqQOGhrr2Izyg0gNG0T-UMP6cukWnClSrzgaiCPsssUjhLjPtdWetQjjkQQ6cK2NM7iQT3SB4WQIJ-oj4CopIiNUlZCNB1RG6oLyQ0xYzgIVOnd3cZnYhEjq4DBAMqwqU9p0mHDEK1HUnkuDiS4_wClZZjc1rg0wYdYweFVpxWDZMjhExM1dJGJ9pUU9OXixCorMBwJgi0qMO163GJIARqGpDTMxGVfTDkQ0ucM3kKJnRsAyQCbjysXpgAT6boBI4WvFBogE3B_07KYeu1iNLpgG10wO1oIg_QpekdoIaYGVIGZLRiFQlWoLkWF8qxqEA9Rgub7BaU-i7Q4iALFGgJ0m1yDPhA3qEEQJ8cIGbciBLfNlnGKBdLTB-3-6hWTr6sdJUtcDGVd6WPlnO9QNJMDNlh2SBAa29pV1e3CPcztusGnLw1mQSmFRLQ48X2CjKtPtPPCR0lVBNhnkApbG12EtEQBGFlFG1BMA553VxDPdpAvbNkA9UEgEgSpgPqd5AuDZRfDudBMWG45T1StLiYkhpONkoYl7TDXAD2WFflUv1GLH4X1cfOuH-Wz_uWtJV2nUbjSDYQq36BJL8ni6TphopiRIsOOVuIMHYfK2LU36gAAVeh1SqCwmSDKlAbV1Bs78KDnRcgZstBw4BonGyo00H65gC26M2tDXCQCjDU0ggSEClxJE2QKHRcGUFmVc2wgq0SJBuEFWdrZEuPBUrCjXCYyMykF2kkB252VVpbgDcIVw7sCRKlRzHHu2E4SDgLm1jwtRa4kt7R3BW9pbjiCbavCa18c2m5rriyyyY2MX9zsgF4jMnhGtJUd_pxzytQqTmuDSXSfErNZY3g9wIuOUHBpBk2U0cZdzzKrUCm4SGkovgPkvt7pOvWa0NjRcyQrooymKgktxuN1FzTsEGB9Mogl2qoG2QwSz9zoPCQwlIlobItzytWEVc6CBqJ9lMRU9wF4dzyoM1VoLsSfCKzv7tTcHws1GUtlxDpIjYq60UuPplp1GPKhaxvhxmA0cxhZ-oVrRhzo3VdJVmOmzbm9-UNO2ppaJafdDVGuDoETtJU8D6A72BTU9F57rO-AFDDgmffCII7pJuiu0kHUJ9kWO9UGBhClBD-CBlGRJAEG3iUaSqOkgQAVdTUzU0bSeVQNBMOBIlNQwGlpvJ4Kz7VlcW2hsuJVxuFZOkG8blU0z4BtdFIXfc2QZ6jiGwIMZ5QKCc7LLWixxmMKUB5kkXypiWpvkDKk_tE2EA8jyn-CodAGkX3hXKmr0nHQRypem-KjAS0kiQsWumO0d2oXHlWVTOudOlIajXogwTYpTXnVaekWAHkrjV1F1mAtMBYFaZLgIJlFbaEOMG5W-Jr0abtMNtdbRoYwy2ZiUF6AOAd0T1dlMGbGyKUtIZM6Q5ZozVniTFwmKzSRUtKiVaj2z_dGVm0g5wG5vZVtradLQ1pn3WmmLqXFjTLfys3tHmPdJjBG3K5WLL0Rw1AxkCIhZdYVzzqJLZcqaekwPeAI5U9TWuiQ1xddtoBVxI20XDSNTZkxK1GhdUNNpht4N1OwS4vAIFxumfsUabgut7rW_pmtVKZcWju4_upe2OyuYXtu2Tyh6IJDSNNud1m9kuM9R3fqJgg42UL2g5obefqwCq0g4eocm-Co1EqzYA7Rr_hZM7TfTMkj3KlUvcfKxoamwNIDySM3WokjfIFNukWwukZtIJmCYtdKxKRxMkEX8qfHSTWaswgyItvys-tYz1HlrSQPusIFFuoSRBjKg0USA4tF4GV1jnWqk4EQXG3C2sqgcTa5Pul6alQqAB5dquMAqabjTRrFgHb5jlai_kn1QM6r-VnQs6wTMeE1SOeQws0h3uqMmHxYR-FgWBAEzcqwWa_vacjjytBzc6sEjAwVKI13NDI-km0Bc1lZyABAdCwUoJbfIxKwmucdRNo9kalNoxFvZFM1xbILbDdGVWFsDkgLWLLir2me0Y3G63-PSpRp-oyudlgFgdTog_ZJE3FGO1xbC1ZEh3AyCLH8I04Ce2I4WBQTri0nEhd50z600hpaJF-StRY0UnnVGyiVecGVNY5Ok6mifhVgxLyBIixwmHZw0xuYwjvLsD1C1rrkAFEQqvLu6T5CTtCOgyQO6bIJxzuYIGyLBJ03jxfdZXCOMEEZ8IU7SNEkEOVjIz6gkt-VMaiT2mm4HJUVDVJnEndYoVs65B1JinIBBvb2RpwLmmQLeVLEMXl8QNsKJQHbGcZRAJgtm83koGLjIMIHbFpOFBQAuhwn2VAkuffPhAxPbODyEAY303WORgouDIJP7hiUMAvkbAk7KGmAtc_Kq6V0si0yilLgQDP3RCVKcmMkj7ImFDu3c2vIQxznEtsN0MUpVAcC0YQhmibeb-FUUAAAvA_CgYki94hJ2KsBDpcNsoKNqGBAAM58IuriNI04BgFFMwEPABMzsUVqptdpOcwtT9s1ziNN5hEKKboOYWlRrCNWdIFpU8QzACAPZZ8oq0kbXJi5WvyStYIkXibIk8N6cgiI8IqNUESJsOQpiYxODnf3CY2hWGgTaf8ASsmEc71O0jSJQ9F2fqJA2KGDGoh2JyEUtIZ0je0boRpplxByIzBuimY-CYLiQUFRUlt5J4RnBabgRAm6NNIa0tMkAoJPGqWiPMG6zRBwtBn5VgJ0kSWg23UChgO4hQM8mSfq8QiOZULTGmI5QCpVNpMgYspql1uaJsQfwmgawSR_K1jIxIa4gLNaVFQyGg4yFEB124-5RUg-Xk7hWhapiPGOFICwamnytDnfSL25QNSIpODo7ef9lmiuu5sCeEBntMHuKDg8NJLZ2kJgoxhaHcm-LLNotRuSMAgGSoGB0uHnCpDvk2bvkotpGMGsznlRDBhJBjxIKCzWdoOLoGABBJU1cJTOkzcyqizSXPaODN91YNbAGNGuRdalWOpvLoxHJWlXh1oMNHBTU9WiGtklu3ujU6dUgQIJIFkZK1xnSReLIU7H3AOeFVkWYdV5uL3_AIRtIgOaYGqFBLQdbmwAYwmsV3qCIgEn8LGrqV2uBPdI-yrStMgGI-6geo0OFzAAtpVCPtgk2-6grSOq2nKptUYcmYGAgdgJaSZIN7ZQOTu60i6LizW6pEdrQDc5RFdXZcwJ2Wawq2C8kgnchQK9-ls7oJ1HOcREAxkq9LECQXGSZn6dlK04gDVbuP4QTY0vc2FehoY0A4kqBHDJcYQTqQ0eUSkAJJm8IhvTl1iATjytaphT0PEYO_HusmK37QZJIs6USltqBNzMKxFCQ-CJjCRNWo03AEnEwlPVAATEyoYIomZNhHCLHACmQDsd90NVDSZdgkR8Img95pt7QAZsc2WfWKUERuPbdXEM1xDLGWzuFWoZgB5LnYtaUZDU4NIdAErPq-9CdUwZAmT7JOidOY-CADLTyiC4A20zmxOFnsI0iGkGW7gLetFc6HWEcDwq3Q7pMifP8Imi1-l2YGQeShppDnNbBaDdSs1xOlpk9pvACyyx_qBI6V7WgT_KetR8u58PLbtWXeeJxODDv5RpwcWw2bjCmM46RixnMqXxa7XEuiNs2hRlzHTG-6lWK-qWyYB4KetHFXW0CMC5UWLUX2GrGFFF5lsTEYHK0qRZLs45SmNDZGmRF1z0w31OeXGGg2VgLe0EEzJkCFSBLtnWV6XX5Y-kGBjJX1GPnSF5ceLqDQ150QB3crbcPSaXAXg7o1IvTP7cwgr9NMHN8lblc7MIKmgxq0-y0jqne2Gmb5U3Aga5lzCosyTIgchA4FyZnhaia00Q4ukABVmtJcC4WsLSjKrKoMCJtsgZ0tbciyBWlz2-BwgqLtsDJQOzUCLlE1cAkSCT8QudZvS7GQJJnkcLUqr64gDGxWmbcVaQbCZVzCWVaYHxsVlXABxwTbdUcSGGQY2QKRBn4stL6MSACTbZSqcPBAGW7qMg982_buUCSdUyQ3kI0BHBBJ5RPqFax7slBCq5rSDdAju3EHe6mIR9YgghtyIhVaUODLNk_H3RnRYf8y84CKs5wiGkiR90DNPpQ4vOmLI1hqX-Y7cCUcturtJ2E-4R1g-qQ02twrg6k4w608BA1NpmTzhRlR7YgEEk3hBLSJsSis1a0zYm6lgzuALHOBl0LOkRex-kn-6CLmzDS2x4REIGoxflG4doc5oIaAjWLE9v04N7ojmu1RAnlCrsETkDys4Q1NrncQcIUzQCe4wb4QcWObeDCHhi3tkTKKgWFzeCgLe2226JjjJEyC5U8JeDJg-UMTLQXWMlVFmsABuZ2WaJVZMOxa6sig0uLQDa-QVTTtMReDwcKUBxBmDdG-KbjAgSjTM4TifdVClzmxICo4ukKDtXbOZKxf0VNzjoEWusgtAa7uiTsgOo6xMSeFaLE6W2yVhY5tTSIkws4u1WnVFabwMQq1LqgNy2Lgo0FSXAwIEKjz-ppEtmRG8rjyX6whuupGGi6wrQJ-on4CC1C7ovM7Lc6V6bCSRtG62jZRe3V26jG6IvSBnEieVaRppPcxtxJHlZVHqHxIuBOCFkZXidWm6sEiA0AxBOLrLXqlF17iSqnjZStpm5vhWNKBudMEBUZOqaTpBxc2WWa8bqKZLzBIE5CzaGY4CT3HSsOsqTYc8udIEqJdVpEjVpF5sUnQ1UiXZsYwrasbenBDCTePwpGhkPZYwSIurKGAaz6p-E9S2LNbrbYAjyVWL2vSmYDZ2gbLSbvRnOh0arRb3UE3VNIMjuUwQcA5xaO7yoJuZqcRP1ZO4REzTcQcgTNlG4nqBAEXO6mNJz2TAkGCsU1CSbm_gFYVelUDXh9WBFgM2WoNT362S0rpGOUISGiTdVmcam3vdYuup_TrOk6sEht7eFfBkq0tDgM-DusFIKr2GC0e3hTGL0pSlzw4CBK0xW9zC4tEQPC6TwjQaemlBENF5CeuvK2RhqOJd3fHsox6vQLS4S2xGSjeK1wH0hcmbwpYrG_W9wABIjlIzXAHunP3RYnoEbT7LLWDpxCIpSkEl0RsrofXpIE2Vqb3iL5deIErnVtxJ1iSAs_ApuL2J8rCUs9wAuoTT0ibjJlHQZl5jCDQwxcwQQIW-NFTq3GOF1A0aj3WWb2EdSBJMmFjxLADYaDc3S1IcHSTADvcrOtFa8moABcYJV0Wp9rtZN_uty6Tprp1AQJsfK1BakJv5hVL6003dpncqYzy7FogGcflVjDtIcYRuTDAgWj5RrGeo5xccGTiUZTaSR3Ax4RYNW5c5oIG6LSMdaBHmcqaRJzu4XMSooHySJKIrAawHUfCsTB1u0k4JVIWo3W0HT3LFjTLXBw0e8rGhW0yCLfMqAznugcqNmLTGSbwgBAPaCRCILrthsyiYAa5tyJhBUTMm5myI4QP8AYoKDsdqiG4sUac-pDgZifCJXN79Vu3YosNqAIiL_AHRoX6m3MQBMcpqJlpc0Q3eVIyenLSZj2yqoVibACSihoDQDkcFS3EJJMRAB-FVdHfvACDrMEH8oldS0k5sjJw4NIANzyrQe67YUFbgXvZJ0KsfGR2ndB2okmJHspg0UMN2BFo3KrUaGM0PBaJBF5Qqre10EgHJutTpkSTrjV2ha6COqGSAZHKuAxqBJ3zJWVCdQLQIIsp91BoESJknlWwa3O1DSTN8xcqMy50oBodO2FV1CoC4SXGCMBFrNUadMkorE92slo9gsHpgyWmbO1YlFFtG0i7veyK5zSwmDdAWG5I-EDBwvJ7v5QODLbuNjtugbQRBFgboLtGkSBugo55uft5QIZLQSIWRJ75PEZSIEkmIRRkNBtdMAImQTYcKI7SXF034QwkEZNhsiiQNM6pnkJ9HCnBBK1qCGlzTAlYqiGlhAGVn7qGcNIIud5KGoxLyZMcrUVziGySSTOCp4FJIfr-PC0KMa4kDk2QMWhrW4gHKg5xvAMjkKDmuOZkeEDtYS6TE8LRirNWqCIKxYYu6QBEyTxssjj2uP8oHcJEE-bIGDg2-QEIVpBqYJIvKLaufpmI3VMKZaASbLLQf-44kmAtMHpPgkQSQlmDWyoSQCPMpBVh0m4GLBaF6Pc465tsFfWouO0TeeDcKhAAczfJjCJhnPbYmzRbyqaZkCSTfhZTROCQSL_dVqC0TE2Cla1GrYgzAwSFGfqLiZgSOFmo4uBsbPVjco03AxGZvKrSzndpNgIwERNzXOkTMm91npnF2uaKjRuBGFpozQWj6pMyYQaAAWgiBINgiya4DeCRCNKUsRH_KWMtMEXIEESAsM0zZbE9xHJ2RktWHixkG__wBIeldDTcuJzCNYVzJaC0jkyEVBzHaYgiTKBgRSOPkoKSCQZ82wgV0ER2jeDwgBaHHEiMoOax0ajkCIG6BqkemdLjZvCsExaCAQYuNoUHax6Yvqi0bhEpqbhIFyZRkwcC4zDGfyrGVhWAnSTE5KLD06Ze43kzk2UXV2OmQdrSEDtlshwna6JXOOl2mAYz7LNZCowE5j2WggpuDxOoNU1KqGSJcIjHlVYLBqPAFxZT3oBzO6dIAFrFPDBdDxvJ54TExMMc5xIEQsoLdLRLrkkwf7IOeHbQPHCLEtGow06uSdkNF5FMQ7_wC1tpLW2XCwJG2ymIsxuoAgXASpS1HDIzGZsphibmyxzHix3BytNPnP1Kj6VZ4EAG4KxenbjGEWBJN1lspHNiTzdEcXTtfZSpQJk3sOFntkWAkXsOJT_VinaSBeVKqjRufsjUWYdbCMHZMWgZc4EGWkYKqwe2n7x-7CLqlOp23seBdZxK4O7hFxvKiK-oyC0fdAjHW-eEH5bcCWj_yV9Vr8HEi0tPuspYem4gzMnBWtWVVtQOdMgAcLLbTTJdfIW1W0hzcmVqMcmesQAtRgWH9wNlm3saKbhpIJ1Hhak0Fo0e-LrYsGTFgqxV2MNiAjKuiBJzKA2BEGECuMASUDUqxggiwxCDU18tk-9kBbUkCxnlGfGmk8Nbc2JxKzYlVpVQSRJ1fhMU73BsReVWOSlKqXGJgrVqcZnbWw6TJzCjoYOBgg-6IV0B8lA2uRj5RTGNIJJlXQoGoC1uQoYdsk3GLIvhdQbcibxhTEpJEwJA8hMEXhoINyCqeM9SI7ZnF0Chha_VEk2mbojO8Fz_8ATaZQvZXAs0lswTecIqlPSDJkHyiKh-sC5jNhgou4D6znOEgY-6J-cVoul0gkDhIf20UyAwSSbrTUK8wS6DB2SDqb2kSJkKUxamdZbJMEXURR9Q4bJtElqmGJBvabEwdlV8TrNA7ZBm9-EZZSQ5oazY3Jysfj-zNB7tJJeBDsWWLP0ZjJVaGu1CTGAtQI4SBpEOK02SXFpcBnEqNGDdTC477KVNWptEBu6h6qGHmyQwGVC0wccwrhi1EtiYuNyoouq2Gx9kCEm5mfZBIPH7jeVcK57gXXsEiQvqB1rJVogwLmx2UCkBzsYvZagZ5gCfsoyTU0ggjKq_AEEm1sBEc5xJgAYQcO6Ajc6ReSNzGy1GkXQMnOylCkAXuTwoJ65J04G6bA9MFxB_EpfC9uqgEiBIXJqQhBH05GPKzrX4uBkEn4TV_FVr5BHhYTE3EyL29lpPxX6cahcRdGpMagwAkgXOSiiYdm0C8IM9Wl6hBIEKVWOtTFMSMTsuNna6lrj9tza6grRBkTI9itG_HqdIGl5DsHldBpadPaJaSiY10n6QCfp_lCKBzXuIAMe8KVStcHsJLpv7wsjOWOM3mLQdlqdCFSnqzaFOml6IaG4v5UMW0FrpBACKox7gC0YxOVr0RrOEPEHTCzWa8mvUA1GLWhYWYnTaS8n8Ssty6574OgjslE0WkREkXkAIl7O2uQ4gExglWEuN_S94ubbyo6arVdqc3jAhFFoLmEA45KRzvbTRqsaNMH3jK1Z9J41sjXEEBQhKrnNgCIN5IwqzaQzqvpAdlFQqlrHaQDAMrAk61TV3ACxVJTFguQDEZCOnrO82EDTF0Ii6HPJJEj8rFjSNUBrdMQeVzxCGTpD_q2Wj1r6TukOJIWoWLOEP0ZAblXRKrMwHg_2VTUHFzmxqv4RIz1WmoYAk76lMaLo1GJi1rqFNrDi0A44SOD0-mMWH5WiKVHaKY3O44V9db2w1Jebg-5ymAUopVAS6QCMo02PcNJIiNoQQ0nTFg5ApcHgQB8IJsh07AflYkUXgtcG3vdXEKxxcSMAqC-JIWvTE6owbe0rjUxBrSDM_CnVPDa5I3KzW8I5wDhMFQnQt7_AKQAOUUsm4A3VwaKZBaDFxymJpxWLbZC6TUpmvc50bq-LDl0kWuMhPiWkIILhmy5r4kKoaYi48KYasIPc2PlRTh4At-VuCtEuMF0Rtyuo2B8EWDYRKtSgkGYi6IprDiRc-QgYODZAEnZGunap0gACd-EZ0rhBgn_AJRCBsTuEEXTNvp4RQLhT0jCysI8EiQBJwopGEmRBI3VFNJcyASrBUAXxJ5TRJ7y0AX8nhQQcfkEriB6gLTNhMIJ6y7btwq0doBgXtlRTObIEyBOxQFupxtbid0FAARG_siUpIBJg8lGXa9MEDNrpA4lpxPlXF0dOlw3KiGODA_KAB1yQbgxKLoF2o3P4UqKgQBb4TWiubrJ0jfOFVB50EQbYQAEOIkkkqWBXf5bj45VRJlRxeDFlA7iSDNz4VK6mbblGTfQ7uJPsrgoHaxO-ygZzgTuYCF7c0OPdwiY0tIAacE7hFWa8NA2JxZF1elWsAMDdD1Rz8ds-VudoXXLdJN_C1gI_wAtoLovsbyg4NLi7GMKXqARBtckKCjHBpNtvstC4qNbJaL5U1MFlZ0mDq-FpkjiQCTMRgKNov1ASYiIus0YHNLCdXNlzSmFhN5-6qxWlUvb_wCkaJUJPnyQqpA0HSYIOFA-qLEwBY2Rmq03WB_bhBVlXQL5i3lFc1-m252RVg-bAg8hAr5g3gZhBMMJ1HcqaHY3VccYUCOAk4Fk0c0yDhA5vTIMGFBJ1jABMoOb2Tg-EQS7uPsiuDolwUAe4OcOVrAznw0A5cfwsVnES-d8b7JKoPI1DUJMWLbq-qYOBEfMFUVDuwH9xxCDtROcEXWdDMcdBDoCQM1zeIPISwMwCIw722Q1Rrg1wP1e-VnV9WY5xaDBvyFDDU2xDiLTKqC5km5POMpAHssHC_8AZLQzBBmTMpEX1A3IuCtNxNzzqAIBHspVISQ_6bcbLLOKUiH1Ad9xKWpGqlBGqxGMrUVVjrCTErWGNFJ0BonGeVTxQudJAJj2VimYy_1ewVv7DOZoBH7vqiMrnrNCm4a5Gf4VFQTAkSCli4mSDrGqIO6ilc6QDubqaMlcOcHbkRcJqYRlM6jqv8qNRpZAAABturGjPpm4IueOU0I06SWkCwysp6vTdDgSYV1VmPadpPhaF2MdkwBCN8ZgNqCbgxwrjSoe0N5HCxrlaZtWRpiR4UZ1Vr-0kxAOyIWp3VJiLXgWVWQHTmCdrKNDTeGsMTfZyAOAF9XhBEuIN7ibSgpTdoi4QAua43iNygAImZsd0DmDcEuI4wgm91wZ8RCBLudECJ3KAOIcW6YAKJVKbbwTByiOc0EkmR8ZRDszDbg7oNdKXAk3ujPq-kOsDBRpR95AGrnwiYnoOvB5KLjtN9wZvHCJTOkmwABzJRiqOtG_BhTSO0l47gBPBVjWJvhtxDtgFa1jp02DiXHFkrIatLScYmdlnGcKSKmTpabi6yY5j5bMEmLKmEDniBN4nCIk8Gq4A4ByFpuBTphk6bEDf3QUptcGQ0gDklQpSS0Wn7qmxznDY4z7K7SPm_1HqAepe0gFsZXO3XedMBJ9Qn9oWWt0rqocYyfAUZpdQdEGBGVi9MpvqkO7ZIHKoelUiRNh4ugu10gbBRrTOqTMGBxuoU1OqG7E78LSytDHSLD5CNI1aukmAfc7qVNGm9weBaTsCppp3vvsfCiuFRrnasAYCAOrnUYNlcH5jBlwGy-m1-NhKjjrzbhaYqWotaY2KSudWpOJLZWa1Gui_UC2IC1K6LBxjSPyukZqNSQZ3S2uZmt9MkjY7rItTOZutzp0kUa3U4HhdVzpoYfyjjyaKb4gfCOZ6l4O8IIVHllhvuopaBJJJMqri-mDPGyMql0A8IGokloPKMtFHuabIKAy4AWkIYu1ugxnyhizA5hFxMThTUO2sdJJE2kqizXzYWCBg7VM7IGpZDt0Fi0aZdcoEcQCbZCLoNfAI5QvYvbpMmfYLWHpKjO4EHaVMTUtfqSCNgompAN1OtgIqNZvYXeUOPfaYEMM3U1URL3AT2nY7KoYj1GNJsgdjB6c8DZCjT0vfcYCsmufGLSGtxZa_HHS9RQS2NwbqHHwpeWvDZym4DHpF7RcKbrUa6OoWkR7KJVajotJjMFWTWbEgC02JAdcqJyuRlrE-mHyJxhGON7ScSBKmu8K46tLdjdZvSo1aYOYKz2YyvHp1GkALQ5wgxJgXCKfVqaHG_hEMWxJsN7IvgU6jnubJuUNPrLjpx5U1VWWPhSqDqmon7oE1wTnGyMlfb35VQhkAEmbqjmtmTvKrWudUIg8rIo2wN8hVXAkkt-JKM1LSJuJRmuYdL4N8lFjn4DvYIpA7STGyq3pzpMSbmy02z1AREwVAHvLPbCgnIkCIGVyDaZFrEpKGYS9s4UWWle8x7WWK6zsoGlp3WWhY2ARKku1kC4iPda1ppY4tcItOVRopGQ0m8oyd4iNNgbwqFqMDRqi5Kgw15IIBgWXPksjISLG9iuZqtIw6ebqy_Eeh0w79ZOF1WPRY2zjkzuirNdLI3FlFF7tuQClQz2adRBiCEhpHPDwSR3HdZEHAHZGtPSGYtARQq1DOTbZXztNaW1SIFogYTS3Ea1mOdyN1L2PKqvOqxjaFhlJ31MBk_KlalwXiKd7qBabS82MQiRZtMlwMxKurjdTLtJk_SE_tZfilL6rydx7qOkV1uZBnJ4Vxi9L0GAvIN9I1LdqNdBph3daJhRqDUpB4Jm8KJYzl-kERY3KWJfUan-ZUgnaVmyRNIGzqiBJQHU6kGibG6NbiFQtEm5nMrOukRrNDhax5UGZl3GdzCzaKFrRAjN_ZZhOlOldD7crcVd9ja1lUSd2uEWK0ARLQRlUZSdTiTEhZok52gSAMqBKcGp3DJiyMfi9Hpnk1DFoW4xemyq_tuJMZVrUrI86nNcb-6zXRmcS98k2iYCzKNlA6maStM-ke7_M0kXAyFWkXVcAiZyoGDbkbwgIJcATspbgSYOke6gdplkgQkC1HENgHI4WbAkaWC6wS9piSbmSVmtlf2yMnlB2BBukKdwgnwJVZ-Gpklog-VpJVWsD8WjK1FU0kCBGFVhJLiP91KWfTOdY8Lmk_tB5132OyLkWpnSCAB8rKqABwNo2WoKUyWj2sCu07GpjzUkHiFSxqpW7YGDdRhT6GyN0WdGY_t84lEEhpIEWlFhHy14bOCrjRydWd7KIiWx9pUqM5YJB3lQgXa4TcuP2UaO0dpO5KAGcTHkKjqbz-6HEjKBXEus6_KvwQrN0uIGy5WfQoBybxtCg76g5uADsoD3G043RdMHHVHwjR2u0E8SgOskOucwqhGjvhGTtGxuCo0Y1NBFp1W9lqqYmXOHELLIVRpjgoYDHQ0xyhgOGmSTJURXUWzG26k9V2B8LSgRqaHeMIqDo1xG8IGce0CTdEKwWkWWTwCNNtomy0DrOq3EoyGo1WknZXRoptHpjTZQVgHtI8rMnehj26mrQamXEETZtkFaVKTqnbBVFaQ0uMWAKSaNDDqEG8mFuQFoBvF1rBKo0g5H2UFaboZJE2upOwNYLgAIlXAxbN8WU9FNPa0kzsoKUyA6b34SesTsapJIg5O61vxtlcDIBJO6lEavc6DcxusUZ3WaBt_CgtSBcBN7bo1D1XANIAsAoqDSS6J8Kopp06d5RTQGusM5QPH2KBqcR55QWp2k8lA1Z4Y3VGLII6g7TndXBxc5g1DdYoLJeTeICYFbLnGSmCnqSDayXoZzU7jkRwsX9M0zWyXHdaiwrjMkydP8AC1imLfTYNwQpexxGgahkBQJUBEmZlSzWbNCmdQLR2jwsbh4Bafpn5i63FdT-guIBIOVVWpgw3UZUoaqNB7bBwJg7KQClqdZxBytB6bA5wlS-Li0EvJkjZY1Ba4ucAYxwoLsdqgHAEgBTWjuAabbBVk7XG4nhArhq3PsqDEOHMohw7XS1EAgXhNa0pcAAAIBUtVziSDJmLIuFpgsqD7qxnxtaIeIWj02nixxKuq00J0EWtZazrRoB0stZQK1zu0iAporpJMEmTb4lRm-nDQQHEX8cIsEuLg2LLbaB7jJAnCzUpQ6dMCA7aVzSdlN4GzpQSAD2km8Owq1Ka7T2kjdaUrqzg8Ab3WGL0n6znQZibfC1hOVjVSOoOHlZnbarHkE9xxK0NNImwm3lV0gOJ1AE2nZXUtUpsOqCZE3WNY9UYwQIAubeFGcVc7WTKDqb5pze9zK1qwKr-2PClVLTAudRnJUFwzQdMyEEnMmHAkDhBM1NLzH5UAcSX6ZskDAy0N2BiFQwOl4GIvZAHumpEZEoJfX4g7IkGifpdnZUWNmwLJhhw0EDyjKtBoIPlRKsHgM7REiVUi4cJsIiJ8qNC1utodgO2Qc49jYxwg51MAWsSJlA1Mm45Usc6YOJHscm6hFBdzjcHwtxvSacuN2gYVpqRBEQc3HhZtRKtUsRxEnlFwTD2g4bFhwssUfThwaCogPgRvIi6q4gCO8Rg2hVqdTTBjQGm8xOfCagOfLQD9OYVTVBJaZwL2WET6gaGOA-618bj5HrHTWewWl2VydUHtwd1WonU7QUKRt3fdZrLtINQZwoGveDhF01E6pkmQtEU1OLpPys2FMGdwJJM7KajRScQDjYrLcTrNDiYtdEqbHRcWgoKPe62J5CNqNbLY2CmhmPLBA_hdZGsf_Z&raw_json=1" } } ], - "recorded_at": "2021-06-16T16:39:47", + "recorded_at": "2022-11-26T12:28:04", "version": 1 } diff --git a/tests/integration/models/listing/test_generator.py b/tests/integration/models/listing/test_generator.py index ed21848a7..9e97211d0 100644 --- a/tests/integration/models/listing/test_generator.py +++ b/tests/integration/models/listing/test_generator.py @@ -3,22 +3,19 @@ class TestListingGenerator(IntegrationTest): - async def test_exhaust_items_with_before(self): - with self.use_cassette(): - spez = await self.reddit.redditor("spez") - submissions = await self.async_list( - spez.top(limit=None, params={"before": "3cxedn"}) - ) + async def test_exhaust_items_with_before(self, reddit): + spez = await reddit.redditor("spez") + submissions = await self.async_list( + spez.top(limit=None, params={"before": "3cxedn"}) + ) assert len(submissions) > 100 - async def test_exhaust_items(self): - with self.use_cassette(): - spez = await self.reddit.redditor("spez") - submissions = await self.async_list(spez.top(limit=None)) + async def test_exhaust_items(self, reddit): + spez = await reddit.redditor("spez") + submissions = await self.async_list(spez.top(limit=None)) assert len(submissions) > 100 - async def test_no_items(self): - with self.use_cassette(): - spez = await self.reddit.redditor("spez") - submissions = await self.async_list(spez.top(time_filter="hour")) + async def test_no_items(self, reddit): + spez = await reddit.redditor("spez") + submissions = await self.async_list(spez.top(time_filter="hour")) assert len(submissions) == 0 diff --git a/tests/integration/models/reddit/test_collections.py b/tests/integration/models/reddit/test_collections.py index b16e1ca07..9061948f2 100644 --- a/tests/integration/models/reddit/test_collections.py +++ b/tests/integration/models/reddit/test_collections.py @@ -1,14 +1,7 @@ """Test classes from collections.py.""" -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import ClientException, RedditAPIException from asyncpraw.models import Submission @@ -18,358 +11,300 @@ class TestCollection(IntegrationTest): NONEMPTY_REAL_UUID = "3aa31024-711b-46b2-9514-3fd50619f6e8" - async def test_bad_fetch(self): + async def test_bad_fetch(self, reddit): uuid = "A" * 36 - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with pytest.raises(ClientException): - await subreddit.collections(uuid) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(ClientException): + await subreddit.collections(uuid) - async def test_init(self): + async def test_init(self, reddit): uuid = self.NONEMPTY_REAL_UUID - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection1 = await subreddit.collections(uuid) - collection2 = await subreddit.collections(permalink=collection1.permalink) - assert collection1 == collection2 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection1 = await subreddit.collections(uuid) + collection2 = await subreddit.collections(permalink=collection1.permalink) + assert collection1 == collection2 - async def test_iter(self): + async def test_iter(self, reddit): uuid = self.NONEMPTY_REAL_UUID found_some = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid) - for post in collection: - assert isinstance(post, Submission) - found_some = True + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid) + for post in collection: + assert isinstance(post, Submission) + found_some = True assert found_some - async def test_follow(self): - self.reddit.read_only = False + async def test_follow(self, reddit): + reddit.read_only = False uuid = self.NONEMPTY_REAL_UUID - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid) - await collection.follow() + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid) + await collection.follow() - async def test_subreddit(self): + async def test_subreddit(self, reddit): uuid = self.NONEMPTY_REAL_UUID - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid) - assert str(await collection.subreddit()) in collection.permalink + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid) + assert str(await collection.subreddit()) in collection.permalink - async def test_unfollow(self): - self.reddit.read_only = False + async def test_unfollow(self, reddit): + reddit.read_only = False uuid = self.NONEMPTY_REAL_UUID - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid) - await collection.unfollow() + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid) + await collection.unfollow() class TestCollectionModeration(IntegrationTest): NONEMPTY_REAL_UUID = "3aa31024-711b-46b2-9514-3fd50619f6e8" UPDATE_LAYOUT_UUID = "3aa31024-711b-46b2-9514-3fd50619f6e8" - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_post(self, _): - self.reddit.read_only = False + async def test_add_post(self, reddit): + reddit.read_only = False uuid = self.NONEMPTY_REAL_UUID - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid) - posts = [ - await subreddit.submit(f"Post #{i}", selftext="") for i in range(4) - ] - for post in posts: - await post._fetch() - # Testing different types for _post_fullname - await collection.mod.add_post(posts[0]) # Subreddit object - await collection.mod.add_post(posts[1].fullname) # fullname - await collection.mod.add_post(f"https://reddit.com{posts[2].permalink}") - await collection.mod.add_post(posts[3].id) # id - - posts.append( - await subreddit.submit("Post #4", collection_id=uuid, selftext="") - ) - - with pytest.raises(TypeError): - await collection.mod.add_post(12345) - - await collection._fetch() - - collection_set = set(collection) - for post in posts: - assert post in collection_set - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit( - pytest.placeholders.test_subreddit, fetch=True - ) - collection = await subreddit.collections.mod.create( - title="Title", description="" - ) - await collection.mod.delete() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_remove_post(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid) + posts = [await subreddit.submit(f"Post #{i}", selftext="") for i in range(4)] + for post in posts: + await post._fetch() + # Testing different types for _post_fullname + await collection.mod.add_post(posts[0]) # Subreddit object + await collection.mod.add_post(posts[1].fullname) # fullname + await collection.mod.add_post(f"https://reddit.com{posts[2].permalink}") + await collection.mod.add_post(posts[3].id) # id + + posts.append(await subreddit.submit("Post #4", collection_id=uuid, selftext="")) + + with pytest.raises(TypeError): + await collection.mod.add_post(12345) + + await collection._fetch() + + collection_set = set(collection) + for post in posts: + assert post in collection_set + + async def test_delete(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit( + pytest.placeholders.test_subreddit, fetch=True + ) + collection = await subreddit.collections.mod.create( + title="Title", description="" + ) + await collection.mod.delete() + + async def test_remove_post(self, reddit): + reddit.read_only = False uuid = self.NONEMPTY_REAL_UUID - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - post = await subreddit.submit("The title", collection_id=uuid, selftext="") - collection = await subreddit.collections(uuid) - await collection.mod.remove_post(post) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reorder(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(self.NONEMPTY_REAL_UUID) - original_order = collection.link_ids - new_order = ( - collection.link_ids[len(collection.link_ids) // 2 :] - + collection.link_ids[: len(collection.link_ids) // 2] - ) - assert len(original_order) == len(new_order) - assert original_order != new_order - await collection.mod.reorder(new_order) - await collection._fetch() - assert collection.link_ids == new_order - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_description(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + post = await subreddit.submit("The title", collection_id=uuid, selftext="") + collection = await subreddit.collections(uuid) + await collection.mod.remove_post(post) + + async def test_reorder(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(self.NONEMPTY_REAL_UUID) + original_order = collection.link_ids + new_order = ( + collection.link_ids[len(collection.link_ids) // 2 :] + + collection.link_ids[: len(collection.link_ids) // 2] + ) + assert len(original_order) == len(new_order) + assert original_order != new_order + await collection.mod.reorder(new_order) + await collection._fetch() + assert collection.link_ids == new_order + + async def test_update_description(self, reddit): + reddit.read_only = False uuid = self.NONEMPTY_REAL_UUID new_description = "b" * 250 - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid) - await collection.mod.update_description(new_description) - assert new_description == collection.description - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_display_layout__empty_string(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid) + await collection.mod.update_description(new_description) + assert new_description == collection.description + + async def test_update_display_layout__empty_string(self, reddit): + reddit.read_only = False uuid = self.UPDATE_LAYOUT_UUID empty_string = "" - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid, fetch=False) - await collection.mod.update_display_layout(empty_string) - await collection.load() - assert empty_string != collection.display_layout - assert collection.display_layout is None - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_display_layout__gallery(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid, fetch=False) + await collection.mod.update_display_layout(empty_string) + await collection.load() + assert empty_string != collection.display_layout + assert collection.display_layout is None + + async def test_update_display_layout__gallery(self, reddit): + reddit.read_only = False uuid = self.UPDATE_LAYOUT_UUID gallery_layout = "GALLERY" - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid, fetch=False) - await collection.mod.update_display_layout(gallery_layout) - await collection.load() - assert gallery_layout == collection.display_layout - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_display_layout__invalid_layout(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid, fetch=False) + await collection.mod.update_display_layout(gallery_layout) + await collection.load() + assert gallery_layout == collection.display_layout + + async def test_update_display_layout__invalid_layout(self, reddit): + reddit.read_only = False uuid = self.UPDATE_LAYOUT_UUID invalid_layout = "colossal atom cake" - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid, fetch=False) - with pytest.raises(RedditAPIException): - await collection.mod.update_display_layout(invalid_layout) - await collection.load() - assert collection.display_layout is None - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_display_layout__lowercase(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid, fetch=False) + with pytest.raises(RedditAPIException): + await collection.mod.update_display_layout(invalid_layout) + await collection.load() + assert collection.display_layout is None + + async def test_update_display_layout__lowercase(self, reddit): + reddit.read_only = False uuid = self.UPDATE_LAYOUT_UUID lowercase_gallery_layout = "gallery" - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid, fetch=False) - with pytest.raises(RedditAPIException): - await collection.mod.update_display_layout(lowercase_gallery_layout) - await collection.load() - assert collection.display_layout is None - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_display_layout__none(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid, fetch=False) + with pytest.raises(RedditAPIException): + await collection.mod.update_display_layout(lowercase_gallery_layout) + await collection.load() + assert collection.display_layout is None + + async def test_update_display_layout__none(self, reddit): + reddit.read_only = False uuid = self.UPDATE_LAYOUT_UUID - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid, fetch=False) - await collection.mod.update_display_layout(None) - await collection.load() - assert collection.display_layout is None - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_display_layout__timeline(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid, fetch=False) + await collection.mod.update_display_layout(None) + await collection.load() + assert collection.display_layout is None + + async def test_update_display_layout__timeline(self, reddit): + reddit.read_only = False uuid = self.UPDATE_LAYOUT_UUID timeline_layout = "TIMELINE" - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid, fetch=False) - await collection.mod.update_display_layout(timeline_layout) - await collection.load() - assert timeline_layout == collection.display_layout - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_title(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid, fetch=False) + await collection.mod.update_display_layout(timeline_layout) + await collection.load() + assert timeline_layout == collection.display_layout + + async def test_update_title(self, reddit): + reddit.read_only = False uuid = self.NONEMPTY_REAL_UUID new_title = "a" * 100 - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections(uuid) - await collection.mod.update_title(new_title) - assert new_title == collection.title + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections(uuid) + await collection.mod.update_title(new_title) + assert new_title == collection.title class TestSubredditCollections(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_call(self, _): - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = next(iter(await self.async_list(subreddit.collections))) - test_collection = await subreddit.collections(collection.collection_id) - assert collection == test_collection - test_collection = await subreddit.collections( - permalink=collection.permalink - ) - assert collection == test_collection - - @mock.patch("asyncio.sleep", return_value=None) - async def test_iter(self, _): - with self.use_cassette(): - found_any = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for collection in subreddit.collections: - assert collection.permalink - assert collection.title is not None - assert collection.description is not None - found_any = True - assert found_any + async def test_call(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = next(iter(await self.async_list(subreddit.collections))) + test_collection = await subreddit.collections(collection.collection_id) + assert collection == test_collection + test_collection = await subreddit.collections(permalink=collection.permalink) + assert collection == test_collection + + async def test_iter(self, reddit): + found_any = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for collection in subreddit.collections: + assert collection.permalink + assert collection.title is not None + assert collection.description is not None + found_any = True + assert found_any class TestSubredditCollectionsModeration(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create(self, _): + async def test_create(self, reddit): title = "The title!" description = "The description." - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections.mod.create( - title=title, description=description - ) - assert collection.title == title - assert collection.description == description - assert len(collection) == 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create__empty_layout(self, _): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections.mod.create( + title=title, description=description + ) + assert collection.title == title + assert collection.description == description + assert len(collection) == 0 + + async def test_create__empty_layout(self, reddit): title = "The title!" description = "The description." layout = "" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections.mod.create( - title=title, description=description, display_layout=layout - ) - assert collection.title == title - assert collection.description == description - assert collection.display_layout is None - assert len(collection) == 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create__gallery_layout(self, _): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections.mod.create( + title=title, description=description, display_layout=layout + ) + assert collection.title == title + assert collection.description == description + assert collection.display_layout is None + assert len(collection) == 0 + + async def test_create__gallery_layout(self, reddit): title = "The title!" description = "The description." layout = "GALLERY" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections.mod.create( - title=title, description=description, display_layout=layout - ) - assert collection.title == title - assert collection.description == description - assert collection.display_layout == layout - assert len(collection) == 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create__invalid_layout(self, _): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections.mod.create( + title=title, description=description, display_layout=layout + ) + assert collection.title == title + assert collection.description == description + assert collection.display_layout == layout + assert len(collection) == 0 + + async def test_create__invalid_layout(self, reddit): title = "The title!" description = "The description." layout = "milk before cereal" - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException): - subreddit = await self.reddit.subreddit( - pytest.placeholders.test_subreddit - ) - await subreddit.collections.mod.create( - title=title, description=description, display_layout=layout - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create__lowercase_layout(self, _): + reddit.read_only = False + with pytest.raises(RedditAPIException): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.collections.mod.create( + title=title, description=description, display_layout=layout + ) + + async def test_create__lowercase_layout(self, reddit): title = "The title!" description = "The description." layout = "gallery" - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException): - subreddit = await self.reddit.subreddit( - pytest.placeholders.test_subreddit - ) - await subreddit.collections.mod.create( - title=title, description=description, display_layout=layout - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create__none_layout(self, _): - title = "The title!" - description = "The description." - layout = None - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections.mod.create( + reddit.read_only = False + with pytest.raises(RedditAPIException): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.collections.mod.create( title=title, description=description, display_layout=layout ) - assert collection.title == title - assert collection.description == description - assert collection.display_layout is None - assert len(collection) == 0 - @mock.patch("asyncio.sleep", return_value=None) - async def test_create__timeline_layout(self, _): + async def test_create__none_layout(self, reddit): + title = "The title!" + description = "The description." + layout = None + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections.mod.create( + title=title, description=description, display_layout=layout + ) + assert collection.title == title + assert collection.description == description + assert collection.display_layout is None + assert len(collection) == 0 + + async def test_create__timeline_layout(self, reddit): title = "The title!" description = "The description." layout = "TIMELINE" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - collection = await subreddit.collections.mod.create( - title=title, description=description, display_layout=layout - ) - assert collection.title == title - assert collection.description == description - assert collection.display_layout == layout - assert len(collection) == 0 + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + collection = await subreddit.collections.mod.create( + title=title, description=description, display_layout=layout + ) + assert collection.title == title + assert collection.description == description + assert collection.display_layout == layout + assert len(collection) == 0 diff --git a/tests/integration/models/reddit/test_comment.py b/tests/integration/models/reddit/test_comment.py index 79c47be1b..f1976ee1c 100644 --- a/tests/integration/models/reddit/test_comment.py +++ b/tests/integration/models/reddit/test_comment.py @@ -1,12 +1,5 @@ -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import AsyncPRAWException, ClientException, RedditAPIException from asyncpraw.models import Comment, Submission @@ -14,221 +7,188 @@ class TestComment(IntegrationTest): - async def test_attributes(self): - with self.use_cassette(): - comment = await self.reddit.comment("cklhv0f") - assert comment.author == "bboe" - assert comment.body.startswith("Yes it does.") - assert not comment.is_root - assert comment.submission == "2gmzqe" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_block(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = None - async for item in self.reddit.inbox.submission_replies(): - if item.author and item.author != pytest.placeholders.username: - comment = item - break - else: - assert False, "no comment found" - await comment.block() - - async def test_clear_vote(self): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.reddit.comment("fwxxs5d") - await comment.clear_vote() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = Comment(self.reddit, "fx1tgzm") - await comment.delete() - comment = await self.reddit.comment("fx1tgzm") - assert comment.author is None - assert comment.body == "[deleted]" - - async def test_disable_inbox_replies(self): - self.reddit.read_only = False - comment = Comment(self.reddit, "fwxxs5d") - with self.use_cassette(): - await comment.disable_inbox_replies() - - async def test_downvote(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fwxxs5d").downvote() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_edit(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = Comment(self.reddit, "fwxxs5d") - await comment.edit("New text") - assert comment.body == "New text" - - async def test_enable_inbox_replies(self): - self.reddit.read_only = False - comment = Comment(self.reddit, "fwxxs5d") - with self.use_cassette(): - await comment.enable_inbox_replies() - - async def test_award(self): - self.reddit.read_only = False - with self.use_cassette(): - award_data = await Comment(self.reddit, "g7cmlgc").award() - assert award_data["gildings"]["gid_2"] == 2 - - async def test_award__not_enough_coins(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await Comment(self.reddit, "g7cmlgc").award( - gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" - ) - exception = excinfo.value - assert "INSUFFICIENT_COINS_WITH_AMOUNT" == exception.error_type - - async def test_award__self_gild(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await Comment(self.reddit, "g7cn9xb").award( - gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" - ) - exception = excinfo.value - assert "SELF_GILDING_NOT_ALLOWED" == exception.error_type - - async def test_gild(self): - self.reddit.read_only = False - with self.use_cassette("TestComment.test_award"): - award_data = await Comment(self.reddit, "g7cmlgc").gild() - assert award_data["gildings"]["gid_2"] == 2 - - async def test_invalid(self): - with self.use_cassette(): - with pytest.raises(AsyncPRAWException) as excinfo: - await self.reddit.comment("0") - assert excinfo.value.args[0].startswith("No data returned for comment") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mark_read(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.async_next(self.reddit.inbox.unread()) - assert isinstance(comment, Comment) - await comment.mark_read() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mark_unread(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.async_next(self.reddit.inbox.comment_replies()) - await comment.mark_unread() - - async def test_notes(self): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.reddit.comment("id4adsw") - note = await comment.mod.create_note(label="HELPFUL_USER", note="test note") - notes = await self.async_list(comment.mod.author_notes()) - assert note in notes - assert notes[notes.index(note)].user == comment.author - - async def test_parent__comment(self): - comment = Comment(self.reddit, "cklhv0f") - with self.use_cassette(): - parent = await comment.parent() - await parent.refresh() - assert comment in parent.replies + async def test_attributes(self, reddit): + comment = await reddit.comment("cklhv0f") + assert comment.author == "bboe" + assert comment.body.startswith("Yes it does.") + assert not comment.is_root + assert comment.submission == "2gmzqe" + + async def test_block(self, reddit): + reddit.read_only = False + async for item in reddit.inbox.submission_replies(): + if item.author and item.author != pytest.placeholders.username: + comment = item + break + else: + assert False, "no comment found" + await comment.block() + + async def test_clear_vote(self, reddit): + reddit.read_only = False + comment = await reddit.comment("fwxxs5d") + await comment.clear_vote() + + async def test_delete(self, reddit): + reddit.read_only = False + comment = Comment(reddit, "fx1tgzm") + await comment.delete() + comment = await reddit.comment("fx1tgzm") + assert comment.author is None + assert comment.body == "[deleted]" + + async def test_disable_inbox_replies(self, reddit): + reddit.read_only = False + comment = Comment(reddit, "fwxxs5d") + await comment.disable_inbox_replies() + + async def test_downvote(self, reddit): + reddit.read_only = False + await Comment(reddit, "fwxxs5d").downvote() + + async def test_edit(self, reddit): + reddit.read_only = False + comment = Comment(reddit, "fwxxs5d") + await comment.edit("New text") + assert comment.body == "New text" + + async def test_enable_inbox_replies(self, reddit): + reddit.read_only = False + comment = Comment(reddit, "fwxxs5d") + await comment.enable_inbox_replies() + + async def test_award(self, reddit): + reddit.read_only = False + award_data = await Comment(reddit, "g7cmlgc").award() + assert award_data["gildings"]["gid_2"] == 2 + + async def test_award__not_enough_coins(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + await Comment(reddit, "g7cmlgc").award( + gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" + ) + exception = excinfo.value + assert "INSUFFICIENT_COINS_WITH_AMOUNT" == exception.error_type + + async def test_award__self_gild(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + await Comment(reddit, "g7cn9xb").award( + gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" + ) + exception = excinfo.value + assert "SELF_GILDING_NOT_ALLOWED" == exception.error_type + + @pytest.mark.cassette_name("TestComment.test_award") + async def test_gild(self, reddit): + reddit.read_only = False + award_data = await Comment(reddit, "g7cmlgc").gild() + assert award_data["gildings"]["gid_2"] == 2 + + async def test_invalid(self, reddit): + with pytest.raises(AsyncPRAWException) as excinfo: + await reddit.comment("0") + assert excinfo.value.args[0].startswith("No data returned for comment") + + async def test_mark_read(self, reddit): + reddit.read_only = False + comment = await self.async_next(reddit.inbox.unread()) + assert isinstance(comment, Comment) + await comment.mark_read() + + async def test_mark_unread(self, reddit): + reddit.read_only = False + comment = await self.async_next(reddit.inbox.comment_replies()) + await comment.mark_unread() + + async def test_notes(self, reddit): + reddit.read_only = False + comment = await reddit.comment("id4adsw") + note = await comment.mod.create_note(label="HELPFUL_USER", note="test note") + notes = await self.async_list(comment.mod.author_notes()) + assert note in notes + assert notes[notes.index(note)].user == comment.author + + async def test_parent__comment(self, reddit): + comment = Comment(reddit, "cklhv0f") + parent = await comment.parent() + await parent.refresh() + assert comment in parent.replies assert isinstance(parent, Comment) assert parent.fullname == comment.parent_id - async def test_parent__chain(self): - comment = Comment(self.reddit, "dkk4qjd") + async def test_parent__chain(self, reddit): + comment = Comment(reddit, "dkk4qjd") counter = 0 - with self.use_cassette(): - await comment.refresh() - parent = await comment.parent() - while parent != comment.submission: - if counter % 9 == 0: - await parent.refresh() - counter += 1 - parent = await parent.parent() - - async def test_parent__comment_from_forest(self): - with self.use_cassette(): - submission = await self.reddit.submission("2gmzqe") - comment = submission.comments[0].replies[0] + await comment.refresh() + parent = await comment.parent() + while parent != comment.submission: + if counter % 9 == 0: + await parent.refresh() + counter += 1 + parent = await parent.parent() + + async def test_parent__comment_from_forest(self, reddit): + submission = await reddit.submission("2gmzqe") + comment = submission.comments[0].replies[0] parent = await comment.parent() assert comment in parent.replies assert isinstance(parent, Comment) assert parent.fullname == comment.parent_id - @mock.patch("asyncio.sleep", return_value=None) - async def test_parent__from_replies(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.async_next(self.reddit.inbox.comment_replies()) - parent = await comment.parent() + async def test_parent__from_replies(self, reddit): + reddit.read_only = False + comment = await self.async_next(reddit.inbox.comment_replies()) + parent = await comment.parent() assert isinstance(parent, Comment) assert parent.fullname == comment.parent_id - async def test_parent__submission(self): - comment = Comment(self.reddit, "cklfmye") - with self.use_cassette(): - parent = await comment.parent() - await parent.load() - assert comment in parent.comments + async def test_parent__submission(self, reddit): + comment = Comment(reddit, "cklfmye") + parent = await comment.parent() + await parent.load() + assert comment in parent.comments assert isinstance(parent, Submission) assert parent.fullname == comment.parent_id - async def test_refresh(self): - with self.use_cassette(): - comment = await self.reddit.comment("d81vwef") - assert len(comment.replies) == 0 - await comment.refresh() - assert len(comment.replies) > 0 - - async def test_refresh__raises_exception(self): - with self.use_cassette(): - with pytest.raises(ClientException) as excinfo: - await Comment(self.reddit, "fx1tgzm").refresh() + async def test_refresh(self, reddit): + comment = await reddit.comment("d81vwef") + assert len(comment.replies) == 0 + await comment.refresh() + assert len(comment.replies) > 0 + + async def test_refresh__raises_exception(self, reddit): + with pytest.raises(ClientException) as excinfo: + await Comment(reddit, "fx1tgzm").refresh() assert ( "This comment does not appear to be in the comment tree", ) == excinfo.value.args - async def test_refresh__twice(self): - with self.use_cassette(): - comment = await Comment(self.reddit, "d81vwef").refresh() - await comment.refresh() + async def test_refresh__twice(self, reddit): + comment = await Comment(reddit, "d81vwef").refresh() + await comment.refresh() - async def test_refresh__deleted_comment(self): - with self.use_cassette(): - with pytest.raises(ClientException) as excinfo: - await Comment(self.reddit, "d7ltvl0").refresh() + async def test_refresh__deleted_comment(self, reddit): + with pytest.raises(ClientException) as excinfo: + await Comment(reddit, "d7ltvl0").refresh() assert ( "This comment does not appear to be in the comment tree", ) == excinfo.value.args - async def test_refresh__removed_comment(self): - with self.use_cassette(): - with pytest.raises(ClientException) as excinfo: - await Comment(self.reddit, "fx1hmwb").refresh() + async def test_refresh__removed_comment(self, reddit): + with pytest.raises(ClientException) as excinfo: + await Comment(reddit, "fx1hmwb").refresh() assert ( "This comment does not appear to be in the comment tree", ) == excinfo.value.args - async def test_refresh__with_reply_sort_and_limit(self): - with self.use_cassette(): - comment = Comment(self.reddit, "e4j4830") - comment.reply_limit = 4 - comment.reply_sort = "new" - await comment.refresh() - replies = comment.replies + async def test_refresh__with_reply_sort_and_limit(self, reddit): + comment = Comment(reddit, "e4j4830") + comment.reply_limit = 4 + comment.reply_sort = "new" + await comment.refresh() + replies = comment.replies last_created = float("inf") for reply in replies: if isinstance(reply, Comment): @@ -237,160 +197,127 @@ async def test_refresh__with_reply_sort_and_limit(self): last_created = reply.created_utc assert len(comment.replies) == 3 - async def test_reply(self): - self.reddit.read_only = False - with self.use_cassette(): - parent_comment = Comment(self.reddit, "fx1ec2p") - comment = await parent_comment.reply("Comment reply") - assert comment.author == pytest.placeholders.username - assert comment.body == "Comment reply" - assert not comment.is_root - assert comment.parent_id == parent_comment.fullname - - # async def test_reply__none(self): # TODO: I have not been able to reproduce this again; same with praw - # self.reddit.read_only = False - # comment = Comment(self.reddit, "fx1rxr1") - # with self.use_cassette(): - # reply = await comment.reply("TEST") + async def test_reply(self, reddit): + reddit.read_only = False + parent_comment = Comment(reddit, "fx1ec2p") + comment = await parent_comment.reply("Comment reply") + assert comment.author == pytest.placeholders.username + assert comment.body == "Comment reply" + assert not comment.is_root + assert comment.parent_id == parent_comment.fullname + + # async def test_reply__none(self, reddit): # TODO: I have not been able to reproduce this again; same with praw + # reddit.read_only = False + # comment = Comment(reddit, "fx1rxr1") + # reply = await comment.reply("TEST") # assert reply is None - async def test_report(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1it87").report("custom") + async def test_report(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1it87").report("custom") - async def test_save(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx19hsi").save(category="foo") + async def test_save(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx19hsi").save(category="foo") - async def test_unsave(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx19hsi").unsave() + async def test_unsave(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx19hsi").unsave() - async def test_upvote(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx19hsi").upvote() + async def test_upvote(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx19hsi").upvote() class TestCommentModeration(IntegrationTest): - async def test_approve(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.approve() - - async def test_distinguish(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fy79crc").mod.distinguish() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_distinguish__sticky(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fy79crc").mod.distinguish(sticky=True) - - async def test_ignore_reports(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.ignore_reports() - - async def test_lock(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.lock() - - async def test_remove(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.remove(spam=True) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_remove_with_reason_id(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.remove(reason_id="157l6k4g6s365") - - async def test_show(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.show() - - async def test_unlock(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.unlock() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_removal_reason(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.reddit.comment("fx1jgsp") - await comment.mod.remove() - await comment.mod._add_removal_reason( - mod_note="Blah", reason_id="157l6k4g6s365" - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_removal_reason_without_id(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.reddit.comment("fx1jgsp") - await comment.mod.remove() - await comment.mod._add_removal_reason(mod_note="Test") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_removal_reason_without_id_or_note(self, _): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(ValueError) as excinfo: - comment = await self.reddit.comment("fx1jgsp") - await comment.mod.remove() - await comment.mod._add_removal_reason() - assert excinfo.value.args[0].startswith("mod_note cannot be blank") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_send_removal_message(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.reddit.comment("fx1jgsp") - mod = comment.mod - await mod.remove() - message = "message" - res = [ - await mod.send_removal_message( - message=message, title="title", type=type - ) - for type in ("public", "private", "private_exposed") - ] - assert isinstance(res[0], Comment) - assert res[0].parent_id == f"t1_{comment.id}" - assert res[0].body == message - assert res[1] is None - assert res[2] is None - - @mock.patch("asyncio.sleep", return_value=None) - async def test_send_removal_message__error(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.reddit.comment("fx1jgsp") + async def test_approve(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.approve() + + async def test_distinguish(self, reddit): + reddit.read_only = False + await Comment(reddit, "fy79crc").mod.distinguish() + + async def test_distinguish__sticky(self, reddit): + reddit.read_only = False + await Comment(reddit, "fy79crc").mod.distinguish(sticky=True) + + async def test_ignore_reports(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.ignore_reports() + + async def test_lock(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.lock() + + async def test_remove(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.remove(spam=True) + + async def test_remove_with_reason_id(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.remove(reason_id="157l6k4g6s365") + + async def test_show(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.show() + + async def test_unlock(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.unlock() + + async def test_add_removal_reason(self, reddit): + reddit.read_only = False + comment = await reddit.comment("fx1jgsp") + await comment.mod.remove() + await comment.mod._add_removal_reason( + mod_note="Blah", reason_id="157l6k4g6s365" + ) + + async def test_add_removal_reason_without_id(self, reddit): + reddit.read_only = False + comment = await reddit.comment("fx1jgsp") + await comment.mod.remove() + await comment.mod._add_removal_reason(mod_note="Test") + + async def test_add_removal_reason_without_id_or_note(self, reddit): + reddit.read_only = False + with pytest.raises(ValueError) as excinfo: + comment = await reddit.comment("fx1jgsp") await comment.mod.remove() - with pytest.raises(RedditAPIException) as excinfo: - await comment.mod.send_removal_message( - message="message", title="a" * 51 - ) - exception = excinfo.value - assert "title" == exception.field - assert "TOO_LONG" == exception.error_type - - async def test_undistinguish(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fy79crc").mod.undistinguish() - - async def test_unignore_reports(self): - self.reddit.read_only = False - with self.use_cassette(): - await Comment(self.reddit, "fx1jgsp").mod.unignore_reports() + await comment.mod._add_removal_reason() + assert excinfo.value.args[0].startswith("mod_note cannot be blank") + + async def test_send_removal_message(self, reddit): + reddit.read_only = False + comment = await reddit.comment("fx1jgsp") + mod = comment.mod + await mod.remove() + message = "message" + res = [ + await mod.send_removal_message(message=message, title="title", type=type) + for type in ("public", "private", "private_exposed") + ] + assert isinstance(res[0], Comment) + assert res[0].parent_id == f"t1_{comment.id}" + assert res[0].body == message + assert res[1] is None + assert res[2] is None + + async def test_send_removal_message__error(self, reddit): + reddit.read_only = False + comment = await reddit.comment("fx1jgsp") + await comment.mod.remove() + with pytest.raises(RedditAPIException) as excinfo: + await comment.mod.send_removal_message(message="message", title="a" * 51) + exception = excinfo.value + assert "title" == exception.field + assert "TOO_LONG" == exception.error_type + + async def test_undistinguish(self, reddit): + reddit.read_only = False + await Comment(reddit, "fy79crc").mod.undistinguish() + + async def test_unignore_reports(self, reddit): + reddit.read_only = False + await Comment(reddit, "fx1jgsp").mod.unignore_reports() diff --git a/tests/integration/models/reddit/test_draft.py b/tests/integration/models/reddit/test_draft.py index 30f6d4500..1ae0c6b2e 100644 --- a/tests/integration/models/reddit/test_draft.py +++ b/tests/integration/models/reddit/test_draft.py @@ -1,12 +1,5 @@ -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import ClientException from asyncpraw.models import Draft, Subreddit @@ -14,143 +7,115 @@ class TestDraft(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - draft = await self.reddit.drafts.create( - title="test", url="https://reddit.com", subreddit=subreddit - ) - await draft.load() - assert draft.subreddit == subreddit - assert draft.title == "test" - assert not hasattr(draft, "selftext") - assert draft.url == "https://reddit.com" - - draft = await self.reddit.drafts.create( - title="test2", selftext="", subreddit=subreddit - ) - await draft.load() - assert draft.subreddit == subreddit - assert draft.selftext == "" - assert draft.title == "test2" - assert not hasattr(draft, "url") - - draft = await self.reddit.drafts.create( - title="test2", - selftext="selftext", - subreddit=pytest.placeholders.test_subreddit, - ) - await draft.load() - assert draft.subreddit == subreddit - assert draft.selftext == "selftext" - assert draft.title == "test2" - assert not hasattr(draft, "url") - - async def test_delete(self): - self.reddit.read_only = False - with self.use_cassette(): - draft = await self.reddit.drafts( - draft_id="bc647daa-3b83-11ec-a790-7e0ed9af0c88" - ) - await draft.delete() - assert len(await self.reddit.drafts()) == 6 - - async def test_fetch(self): - self.reddit.read_only = False - with self.use_cassette(): - draft = await self.reddit.drafts( - draft_id="bc647daa-3b83-11ec-a790-7e0ed9af0c88" - ) - assert draft.title == "title" - with pytest.raises(ClientException): - draft = Draft(self.reddit, id="non-existent") - await draft._fetch() - - async def test_list(self): - self.reddit.read_only = False - with self.use_cassette(): - assert len(await self.reddit.drafts()) == 7 - - async def test_submit(self): - self.reddit.read_only = False - with self.use_cassette(): - total_drafts = len(await self.reddit.drafts()) - - draft = await self.reddit.drafts( - draft_id="9a77f398-3b83-11ec-8890-fa0ad7056e98" - ) - submission = await draft.submit() - await submission.load() - assert submission.title == draft.title - assert submission.selftext == draft.selftext - assert submission.subreddit == draft.subreddit - remaining_drafts = len(await self.reddit.drafts()) - assert remaining_drafts < total_drafts - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__different_subreddit(self, _): - self.reddit.read_only = False - with self.use_cassette(): - total_drafts = len(await self.reddit.drafts()) - - draft = await self.reddit.drafts( - draft_id="86339940-3b8e-11ec-88a2-fa740ec7656c" - ) - submission = await draft.submit( - subreddit=await self.reddit.subreddit( - pytest.placeholders.test_subreddit - ) - ) - await submission.load() - assert submission.title == draft.title - assert submission.selftext == draft.selftext - assert submission.subreddit != draft.subreddit - remaining_drafts = len(await self.reddit.drafts()) - assert remaining_drafts < total_drafts - - draft = await self.reddit.drafts( - draft_id="6e9a8e92-3b8e-11ec-8f1e-5291d87604fa" - ) - submission = await draft.submit( - subreddit=pytest.placeholders.test_subreddit - ) - await submission.load() - assert submission.title == draft.title - assert submission.selftext == draft.selftext - assert submission.subreddit != draft.subreddit - remaining_drafts = len(await self.reddit.drafts()) - assert remaining_drafts < total_drafts - - async def test_submit__different_title(self): - self.reddit.read_only = False - with self.use_cassette(): - total_drafts = len(await self.reddit.drafts()) - - draft = await self.reddit.drafts( - draft_id="d3e728f6-3b8d-11ec-a2aa-fa0ad7056e98" - ) - new_title = "new title" - submission = await draft.submit(title=new_title) - await submission.load() - assert submission.title == new_title != draft.title - assert submission.selftext == draft.selftext - assert submission.subreddit == draft.subreddit - remaining_drafts = len(await self.reddit.drafts()) - assert remaining_drafts < total_drafts - - async def test_update(self): - self.reddit.read_only = False - with self.use_cassette(): - draft = await self.reddit.drafts( - draft_id="98de0118-3b8c-11ec-98a3-764c49cd2e1a" - ) - assert draft.title == "title" - await draft.update( - title="new title", subreddit=pytest.placeholders.test_subreddit - ) - assert draft.title == "new title" - assert isinstance(draft.subreddit, Subreddit) - assert draft.subreddit == pytest.placeholders.test_subreddit + async def test_create(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + + draft = await reddit.drafts.create( + title="test", url="https://reddit.com", subreddit=subreddit + ) + await draft.load() + assert draft.subreddit == subreddit + assert draft.title == "test" + assert not hasattr(draft, "selftext") + assert draft.url == "https://reddit.com" + + draft = await reddit.drafts.create( + title="test2", selftext="", subreddit=subreddit + ) + await draft.load() + assert draft.subreddit == subreddit + assert draft.selftext == "" + assert draft.title == "test2" + assert not hasattr(draft, "url") + + draft = await reddit.drafts.create( + title="test2", + selftext="selftext", + subreddit=pytest.placeholders.test_subreddit, + ) + await draft.load() + assert draft.subreddit == subreddit + assert draft.selftext == "selftext" + assert draft.title == "test2" + assert not hasattr(draft, "url") + + async def test_delete(self, reddit): + reddit.read_only = False + draft = await reddit.drafts(draft_id="bc647daa-3b83-11ec-a790-7e0ed9af0c88") + await draft.delete() + assert len(await reddit.drafts()) == 6 + + async def test_fetch(self, reddit): + reddit.read_only = False + draft = await reddit.drafts(draft_id="bc647daa-3b83-11ec-a790-7e0ed9af0c88") + assert draft.title == "title" + with pytest.raises(ClientException): + draft = Draft(reddit, id="non-existent") + await draft._fetch() + + async def test_list(self, reddit): + reddit.read_only = False + assert len(await reddit.drafts()) == 7 + + async def test_submit(self, reddit): + reddit.read_only = False + total_drafts = len(await reddit.drafts()) + + draft = await reddit.drafts(draft_id="9a77f398-3b83-11ec-8890-fa0ad7056e98") + submission = await draft.submit() + await submission.load() + assert submission.title == draft.title + assert submission.selftext == draft.selftext + assert submission.subreddit == draft.subreddit + remaining_drafts = len(await reddit.drafts()) + assert remaining_drafts < total_drafts + + async def test_submit__different_subreddit(self, reddit): + reddit.read_only = False + total_drafts = len(await reddit.drafts()) + + draft = await reddit.drafts(draft_id="86339940-3b8e-11ec-88a2-fa740ec7656c") + submission = await draft.submit( + subreddit=await reddit.subreddit(pytest.placeholders.test_subreddit) + ) + await submission.load() + assert submission.title == draft.title + assert submission.selftext == draft.selftext + assert submission.subreddit != draft.subreddit + remaining_drafts = len(await reddit.drafts()) + assert remaining_drafts < total_drafts + + draft = await reddit.drafts(draft_id="6e9a8e92-3b8e-11ec-8f1e-5291d87604fa") + submission = await draft.submit(subreddit=pytest.placeholders.test_subreddit) + await submission.load() + assert submission.title == draft.title + assert submission.selftext == draft.selftext + assert submission.subreddit != draft.subreddit + remaining_drafts = len(await reddit.drafts()) + assert remaining_drafts < total_drafts + + async def test_submit__different_title(self, reddit): + reddit.read_only = False + total_drafts = len(await reddit.drafts()) + + draft = await reddit.drafts(draft_id="d3e728f6-3b8d-11ec-a2aa-fa0ad7056e98") + new_title = "new title" + submission = await draft.submit(title=new_title) + await submission.load() + assert submission.title == new_title != draft.title + assert submission.selftext == draft.selftext + assert submission.subreddit == draft.subreddit + remaining_drafts = len(await reddit.drafts()) + assert remaining_drafts < total_drafts + + async def test_update(self, reddit): + reddit.read_only = False + draft = await reddit.drafts(draft_id="98de0118-3b8c-11ec-98a3-764c49cd2e1a") + assert draft.title == "title" + await draft.update( + title="new title", subreddit=pytest.placeholders.test_subreddit + ) + assert draft.title == "new title" + assert isinstance(draft.subreddit, Subreddit) + assert draft.subreddit == pytest.placeholders.test_subreddit diff --git a/tests/integration/models/reddit/test_emoji.py b/tests/integration/models/reddit/test_emoji.py index 5630ce734..b8b8da07f 100644 --- a/tests/integration/models/reddit/test_emoji.py +++ b/tests/integration/models/reddit/test_emoji.py @@ -1,12 +1,5 @@ -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import ClientException from asyncpraw.models import Emoji @@ -14,91 +7,72 @@ class TestEmoji(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test__fetch(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - emoji = await subreddit.emoji.get_emoji("test_png") - assert emoji.created_by.startswith("t2_") + async def test__fetch(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + emoji = await subreddit.emoji.get_emoji("test_png") + assert emoji.created_by.startswith("t2_") - @mock.patch("asyncio.sleep", return_value=None) - async def test__fetch__invalid_emoji(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with pytest.raises(ClientException) as excinfo: - await subreddit.emoji.get_emoji("invalid") - assert ( - str(excinfo.value) == f"r/{subreddit} does not have the emoji invalid" - ) - with pytest.raises(ClientException) as excinfo2: - await subreddit.emoji.get_emoji("Test_png") - assert ( - str(excinfo2.value) == f"r/{subreddit} does not have the emoji Test_png" - ) + async def test__fetch__invalid_emoji(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(ClientException) as excinfo: + await subreddit.emoji.get_emoji("invalid") + assert str(excinfo.value) == f"r/{subreddit} does not have the emoji invalid" + with pytest.raises(ClientException) as excinfo2: + await subreddit.emoji.get_emoji("Test_png") + assert str(excinfo2.value) == f"r/{subreddit} does not have the emoji Test_png" - async def test_delete(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - emoji = await subreddit.emoji.get_emoji("test_png") - await emoji.delete() + async def test_delete(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + emoji = await subreddit.emoji.get_emoji("test_png") + await emoji.delete() - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - emoji = await subreddit.emoji.get_emoji("test_png") - await emoji.update( - mod_flair_only=False, post_flair_allowed=True, user_flair_allowed=True - ) + async def test_update(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + emoji = await subreddit.emoji.get_emoji("test_png") + await emoji.update( + mod_flair_only=False, post_flair_allowed=True, user_flair_allowed=True + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update__with_preexisting_values(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - emoji = await subreddit.emoji.get_emoji("test_png") - await emoji.update(mod_flair_only=True) + async def test_update__with_preexisting_values(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + emoji = await subreddit.emoji.get_emoji("test_png") + await emoji.update(mod_flair_only=True) class TestSubredditEmoji(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test__iter(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - count = 0 - async for emoji in subreddit.emoji: - assert isinstance(emoji, Emoji) - count += 1 - assert count > 0 + async def test__iter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + count = 0 + async for emoji in subreddit.emoji: + assert isinstance(emoji, Emoji) + count += 1 + assert count > 0 - @mock.patch("asyncio.sleep", return_value=None) - async def test_add(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for extension in ["jpg", "png"]: - emoji = await subreddit.emoji.add( - name=f"test_{extension}", - image_path=f"tests/integration/files/test.{extension}", - ) - assert isinstance(emoji, Emoji) + async def test_add(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for extension in ["jpg", "png"]: + emoji = await subreddit.emoji.add( + name=f"test_{extension}", + image_path=f"tests/integration/files/test.{extension}", + ) + assert isinstance(emoji, Emoji) - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_with_perms(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for extension in ["jpg", "png"]: - emoji = await subreddit.emoji.add( - name=f"test_{extension}", - image_path=f"tests/integration/files/test.{extension}", - mod_flair_only=True, - post_flair_allowed=True, - user_flair_allowed=False, - ) - assert isinstance(emoji, Emoji) + async def test_add_with_perms(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for extension in ["jpg", "png"]: + emoji = await subreddit.emoji.add( + name=f"test_{extension}", + image_path=f"tests/integration/files/test.{extension}", + mod_flair_only=True, + post_flair_allowed=True, + user_flair_allowed=False, + ) + assert isinstance(emoji, Emoji) diff --git a/tests/integration/models/reddit/test_live.py b/tests/integration/models/reddit/test_live.py index 112b4df4a..014c74495 100644 --- a/tests/integration/models/reddit/test_live.py +++ b/tests/integration/models/reddit/test_live.py @@ -1,13 +1,7 @@ """Test asyncpraw.models.LiveThread""" -import sys import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.const import API_PATH from asyncpraw.exceptions import RedditAPIException from asyncpraw.models import LiveThread, LiveUpdate, Redditor, Submission @@ -16,226 +10,186 @@ class TestLiveUpdate(IntegrationTest): - async def test_attributes(self): - thread = LiveThread(self.reddit, "ukaeu1ik4sw5") - with self.use_cassette(): - update = await thread.get_update("7827987a-c998-11e4-a0b9-22000b6a88d2") - assert isinstance(update.author, Redditor) - assert update.author == "umbrae" - assert update.name == "LiveUpdate_7827987a-c998-11e4-a0b9-22000b6a88d2" - assert update.body.startswith("Small change") + async def test_attributes(self, reddit): + thread = LiveThread(reddit, "ukaeu1ik4sw5") + update = await thread.get_update("7827987a-c998-11e4-a0b9-22000b6a88d2") + assert isinstance(update.author, Redditor) + assert update.author == "umbrae" + assert update.name == "LiveUpdate_7827987a-c998-11e4-a0b9-22000b6a88d2" + assert update.body.startswith("Small change") class TestLiveThread(IntegrationTest): - async def test_contributor(self): - thread = LiveThread(self.reddit, "ukaeu1ik4sw5") - with self.use_cassette(): - contributors = [contributor async for contributor in thread.contributor()] + async def test_contributor(self, reddit): + thread = LiveThread(reddit, "ukaeu1ik4sw5") + contributors = [contributor async for contributor in thread.contributor()] assert isinstance(contributors, list) assert len(contributors) > 0 for contributor in contributors: assert "permissions" in contributor.__dict__ assert isinstance(contributor, Redditor) - @mock.patch("asyncio.sleep", return_value=None) - async def test_contributor__with_manage_permission(self, _): + async def test_contributor__with_manage_permission(self, reddit): # see issue #710 for more info - self.reddit.read_only = False - thread = LiveThread(self.reddit, "xyu8kmjvfrww") + reddit.read_only = False + thread = LiveThread(reddit, "xyu8kmjvfrww") url = API_PATH["live_contributors"].format(id=thread.id) - with self.use_cassette(): - data = await thread._reddit.request(method="GET", path=url) - contributors = [contributor async for contributor in thread.contributor()] + data = await thread._reddit.request(method="GET", path=url) + contributors = [contributor async for contributor in thread.contributor()] assert isinstance(data, dict) assert isinstance(contributors, list) assert len(contributors) > 0 - async def test_init(self): - with self.use_cassette(): - thread = await self.reddit.live("ukaeu1ik4sw5", fetch=True) - assert thread.title == "reddit updates" - - async def test_discussions(self): - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - async for submission in thread.discussions(limit=None): - assert isinstance(submission, Submission) - assert submission.title == "reddit updates" - - async def test_report(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.report("spam") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_updates(self, _): - thread = LiveThread(self.reddit, "ukaeu1ik4sw5") - with self.use_cassette(): - async for update in thread.updates(limit=None): - assert update.thread == thread + async def test_init(self, reddit): + thread = await reddit.live("ukaeu1ik4sw5", fetch=True) + assert thread.title == "reddit updates" + + async def test_discussions(self, reddit): + thread = LiveThread(reddit, "1595195m6j9zw") + async for submission in thread.discussions(limit=None): + assert isinstance(submission, Submission) + assert submission.title == "reddit updates" + + async def test_report(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.report("spam") + + async def test_updates(self, reddit): + thread = LiveThread(reddit, "ukaeu1ik4sw5") + async for update in thread.updates(limit=None): + assert update.thread == thread assert update.body.startswith("Small change:") class TestLiveThreadStream(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_updates(self, _): - with self.use_cassette(): - live_thread = await self.reddit.live("ta535s1hq2je") - generator = live_thread.stream.updates() - for i in range(101): - assert isinstance(await self.async_next(generator), LiveUpdate) + async def test_updates(self, reddit): + live_thread = await reddit.live("ta535s1hq2je") + generator = live_thread.stream.updates() + for i in range(101): + assert isinstance(await self.async_next(generator), LiveUpdate) class TestLiveContributorRelationship(IntegrationTest): - async def test_accept_invite(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.accept_invite() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_invite__already_invited(self, _): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await thread.contributor.invite(pytest.placeholders.username) + async def test_accept_invite(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.accept_invite() + + async def test_invite__already_invited(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + with pytest.raises(RedditAPIException) as excinfo: + await thread.contributor.invite(pytest.placeholders.username) assert excinfo.value.items[0].error_type == "LIVEUPDATE_ALREADY_CONTRIBUTOR" - async def test_invite__empty_list(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.invite( - pytest.placeholders.username, permissions=[] - ) - - async def test_invite__limited(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.invite( - pytest.placeholders.username, permissions=["manage", "edit"] - ) - - async def test_invite__none(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.invite( - pytest.placeholders.username, permissions=None - ) - - async def test_invite__redditor(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") + async def test_invite__empty_list(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.invite(pytest.placeholders.username, permissions=[]) + + async def test_invite__limited(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.invite( + pytest.placeholders.username, permissions=["manage", "edit"] + ) + + async def test_invite__none(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.invite(pytest.placeholders.username, permissions=None) + + async def test_invite__redditor(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") redditor = Redditor( - self.reddit, _data={"name": pytest.placeholders.username, "id": "3ebyblla"} + reddit, _data={"name": pytest.placeholders.username, "id": "3ebyblla"} ) - with self.use_cassette(): - await thread.contributor.invite(redditor) - - async def test_leave(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.leave() - - async def test_remove__fullname(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.remove("t2_3ebyblla") - - async def test_remove__redditor(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") + await thread.contributor.invite(redditor) + + async def test_leave(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.leave() + + async def test_remove__fullname(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.remove("t2_3ebyblla") + + async def test_remove__redditor(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") redditor = Redditor( - self.reddit, _data={"name": pytest.placeholders.username, "id": "3ebyblla"} + reddit, _data={"name": pytest.placeholders.username, "id": "3ebyblla"} ) - with self.use_cassette(): - await thread.contributor.remove(redditor) - - async def test_remove_invite__fullname(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.remove_invite("t2_3ebyblla") - - async def test_remove_invite__redditor(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") + await thread.contributor.remove(redditor) + + async def test_remove_invite__fullname(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.remove_invite("t2_3ebyblla") + + async def test_remove_invite__redditor(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") redditor = Redditor( - self.reddit, _data={"name": pytest.placeholders.username, "id": "3ebyblla"} + reddit, _data={"name": pytest.placeholders.username, "id": "3ebyblla"} + ) + await thread.contributor.remove_invite(redditor) + + async def test_update__empty_list(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.update(pytest.placeholders.username, permissions=[]) + + async def test_update__limited(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.update( + pytest.placeholders.username, permissions=["manage", "edit"] + ) + + async def test_update__none(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.update(pytest.placeholders.username, permissions=None) + + async def test_update_invite__empty_list(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.update_invite( + pytest.placeholders.username, permissions=[] + ) + + async def test_update_invite__limited(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.update_invite( + pytest.placeholders.username, permissions=["manage", "edit"] + ) + + async def test_update_invite__none(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contributor.update_invite( + pytest.placeholders.username, permissions=None ) - with self.use_cassette(): - await thread.contributor.remove_invite(redditor) - - async def test_update__empty_list(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.update( - pytest.placeholders.username, permissions=[] - ) - - async def test_update__limited(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.update( - pytest.placeholders.username, permissions=["manage", "edit"] - ) - - async def test_update__none(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.update( - pytest.placeholders.username, permissions=None - ) - - async def test_update_invite__empty_list(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.update_invite( - pytest.placeholders.username, permissions=[] - ) - - async def test_update_invite__limited(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.update_invite( - pytest.placeholders.username, permissions=["manage", "edit"] - ) - - async def test_update_invite__none(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contributor.update_invite( - pytest.placeholders.username, permissions=None - ) class TestLiveThreadContribution(IntegrationTest): - async def test_add(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contrib.add("* `LiveThreadContribution.add() test`") - - async def test_close(self): - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contrib.close() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update__partial_settings(self, _): + async def test_add(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contrib.add("* `LiveThreadContribution.add() test`") + + async def test_close(self, reddit): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contrib.close() + + async def test_update__partial_settings(self, reddit): old_settings = { "title": "old title", "description": "## old description", @@ -243,61 +197,53 @@ async def test_update__partial_settings(self, _): "resources": "## old resources", } new_settings = {"title": "new title", "nsfw": True} - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contrib.update(**new_settings) - thread = await self.reddit.live("1595195m6j9zw", fetch=True) - assert thread.title == new_settings["title"] - assert thread.description == old_settings["description"] - assert thread.nsfw == new_settings["nsfw"] - assert thread.resources == old_settings["resources"] - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update__full_settings(self, _): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contrib.update(**new_settings) + thread = await reddit.live("1595195m6j9zw", fetch=True) + assert thread.title == new_settings["title"] + assert thread.description == old_settings["description"] + assert thread.nsfw == new_settings["nsfw"] + assert thread.resources == old_settings["resources"] + + async def test_update__full_settings(self, reddit): new_settings = { "title": "new title 2", "description": "## new description 2", "nsfw": True, "resources": "## new resources 2", } - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contrib.update(**new_settings) - thread = await self.reddit.live("1595195m6j9zw", fetch=True) - assert thread.title == new_settings["title"] - assert thread.description == new_settings["description"] - assert thread.nsfw == new_settings["nsfw"] - assert thread.resources == new_settings["resources"] - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update__other_settings(self, _): + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contrib.update(**new_settings) + thread = await reddit.live("1595195m6j9zw", fetch=True) + assert thread.title == new_settings["title"] + assert thread.description == new_settings["description"] + assert thread.nsfw == new_settings["nsfw"] + assert thread.resources == new_settings["resources"] + + async def test_update__other_settings(self, reddit): new_settings = { "title": "new title", "other1": "other 1", "other2": "other 2", } - self.reddit.read_only = False - thread = LiveThread(self.reddit, "1595195m6j9zw") - with self.use_cassette(): - await thread.contrib.update(**new_settings) + reddit.read_only = False + thread = LiveThread(reddit, "1595195m6j9zw") + await thread.contrib.update(**new_settings) class TestLiveUpdateContribution(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_remove(self, _): - self.reddit.read_only = False + async def test_remove(self, reddit): + reddit.read_only = False update = LiveUpdate( - self.reddit, "1595195m6j9zw", "ec5ead40-bf2a-11ea-a3be-0e0d584e0b0b" + reddit, "1595195m6j9zw", "ec5ead40-bf2a-11ea-a3be-0e0d584e0b0b" ) - with self.use_cassette(): - await update.contrib.remove() + await update.contrib.remove() - async def test_strike(self): - self.reddit.read_only = False + async def test_strike(self, reddit): + reddit.read_only = False update = LiveUpdate( - self.reddit, "1595195m6j9zw", "3e95636e-bf2c-11ea-9488-0e29bbfe5f37" + reddit, "1595195m6j9zw", "3e95636e-bf2c-11ea-9488-0e29bbfe5f37" ) - with self.use_cassette(): - await update.contrib.strike() + await update.contrib.strike() diff --git a/tests/integration/models/reddit/test_message.py b/tests/integration/models/reddit/test_message.py index 3d83b1484..ab4888e95 100644 --- a/tests/integration/models/reddit/test_message.py +++ b/tests/integration/models/reddit/test_message.py @@ -1,161 +1,130 @@ -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.models import Message, Redditor, Subreddit, SubredditMessage from ... import IntegrationTest class TestMessage(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_attributes(self, _): - self.reddit.read_only = False - with self.use_cassette(): - messages = await self.async_list(self.reddit.inbox.messages()) - count = len(messages) - while messages: - message = messages.pop(0) - messages.extend(message.replies) - count -= 1 - try: - assert message.author is None or isinstance( - message.author, Redditor - ) - assert isinstance(message.dest, (Redditor, Subreddit)) - assert isinstance(message.replies, list) - assert message.subreddit is None or isinstance( - message.subreddit, Subreddit - ) - except Exception: - import pprint - - pprint.pprint(vars(message)) - raise + async def test_attributes(self, reddit): + reddit.read_only = False + messages = await self.async_list(reddit.inbox.messages()) + count = len(messages) + while messages: + message = messages.pop(0) + messages.extend(message.replies) + count -= 1 + try: + assert message.author is None or isinstance(message.author, Redditor) + assert isinstance(message.dest, (Redditor, Subreddit)) + assert isinstance(message.replies, list) + assert message.subreddit is None or isinstance( + message.subreddit, Subreddit + ) + except Exception: + import pprint + + pprint.pprint(vars(message)) + raise assert count < 0 - @mock.patch("asyncio.sleep", return_value=None) - async def test_block(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message = None - async for item in self.reddit.inbox.messages(): - if item.author and item.author != pytest.placeholders.username: - message = item - break - else: - assert False, "no message found" - await message.block() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.async_next(self.reddit.inbox.messages()) - await message.delete() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mark_read(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message = None - async for item in self.reddit.inbox.unread(): - if isinstance(item, Message): - message = item - break - else: - assert False, "no message found in unread" - await message.mark_read() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mark_unread(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.async_next(self.reddit.inbox.messages()) - await message.mark_unread() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_message_collapse(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.async_next(self.reddit.inbox.messages()) - await message.collapse() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_message_uncollapse(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.async_next(self.reddit.inbox.messages()) - await message.uncollapse() - - async def test_parent(self): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.reddit.inbox.message("1aogu6u") - parent = message.parent - assert isinstance(parent, Message) - assert parent.fullname == message.parent_id - - async def test_parent__from_inbox_listing(self): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.async_next(self.reddit.inbox.sent(limit=1)) - parent = message.parent - assert isinstance(parent, Message) - assert parent.fullname == message.parent_id - assert not parent._fetched - with pytest.raises(AttributeError) as excinfo: - _ = parent.parent - assert ( - excinfo.value.args[0] - == "Message must be fetched with `.load()` before accessing the" - " parent." - ) - await parent.load() - assert isinstance(parent.parent, Message) - assert parent.body - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reply(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.async_next(self.reddit.inbox.messages()) - reply = await message.reply("Message reply") - assert reply.author == pytest.placeholders.username - assert reply.body == "Message reply" - assert reply.first_message_name == message.fullname - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unblock_subreddit(self, _): - self.reddit.read_only = False - with self.use_cassette(): - message1 = await self.async_next(self.reddit.inbox.messages(limit=1)) - assert isinstance(message1, SubredditMessage) - message_fullname = message1.fullname - await message1.block() - message2 = await self.async_next(self.reddit.inbox.messages(limit=1)) - assert message2.fullname == message_fullname - assert message2.subject == "[message from blocked subreddit]" - await message2.unblock_subreddit() - message3 = await self.async_next(self.reddit.inbox.messages(limit=1)) - assert message3.fullname == message_fullname - assert message3.subject != "[message from blocked subreddit]" + async def test_block(self, reddit): + reddit.read_only = False + message = None + async for item in reddit.inbox.messages(): + if item.author and item.author != pytest.placeholders.username: + message = item + break + else: + assert False, "no message found" + await message.block() + + async def test_delete(self, reddit): + reddit.read_only = False + message = await self.async_next(reddit.inbox.messages()) + await message.delete() + + async def test_mark_read(self, reddit): + reddit.read_only = False + message = None + async for item in reddit.inbox.unread(): + if isinstance(item, Message): + message = item + break + else: + assert False, "no message found in unread" + await message.mark_read() + + async def test_mark_unread(self, reddit): + reddit.read_only = False + message = await self.async_next(reddit.inbox.messages()) + await message.mark_unread() + + async def test_message_collapse(self, reddit): + reddit.read_only = False + message = await self.async_next(reddit.inbox.messages()) + await message.collapse() + + async def test_message_uncollapse(self, reddit): + reddit.read_only = False + message = await self.async_next(reddit.inbox.messages()) + await message.uncollapse() + + async def test_parent(self, reddit): + reddit.read_only = False + message = await reddit.inbox.message("1aogu6u") + parent = message.parent + assert isinstance(parent, Message) + assert parent.fullname == message.parent_id + + async def test_parent__from_inbox_listing(self, reddit): + reddit.read_only = False + message = await self.async_next(reddit.inbox.sent(limit=1)) + parent = message.parent + assert isinstance(parent, Message) + assert parent.fullname == message.parent_id + assert not parent._fetched + with pytest.raises(AttributeError) as excinfo: + _ = parent.parent + assert ( + excinfo.value.args[0] + == "Message must be fetched with `.load()` before accessing the" + " parent." + ) + await parent.load() + assert isinstance(parent.parent, Message) + assert parent.body + + async def test_reply(self, reddit): + reddit.read_only = False + message = await self.async_next(reddit.inbox.messages()) + reply = await message.reply("Message reply") + assert reply.author == pytest.placeholders.username + assert reply.body == "Message reply" + assert reply.first_message_name == message.fullname + + async def test_unblock_subreddit(self, reddit): + reddit.read_only = False + message1 = await self.async_next(reddit.inbox.messages(limit=1)) + assert isinstance(message1, SubredditMessage) + message_fullname = message1.fullname + await message1.block() + message2 = await self.async_next(reddit.inbox.messages(limit=1)) + assert message2.fullname == message_fullname + assert message2.subject == "[message from blocked subreddit]" + await message2.unblock_subreddit() + message3 = await self.async_next(reddit.inbox.messages(limit=1)) + assert message3.fullname == message_fullname + assert message3.subject != "[message from blocked subreddit]" class TestSubredditMessage(IntegrationTest): - async def test_mute(self): - self.reddit.read_only = False - with self.use_cassette(): - message = SubredditMessage(self.reddit, _data={"id": "faj6z"}) - await message.mute() - - async def test_unmute(self): - self.reddit.read_only = False - with self.use_cassette(): - message = SubredditMessage(self.reddit, _data={"id": "faj6z"}) - await message.unmute() + async def test_mute(self, reddit): + reddit.read_only = False + message = SubredditMessage(reddit, _data={"id": "faj6z"}) + await message.mute() + + async def test_unmute(self, reddit): + reddit.read_only = False + message = SubredditMessage(reddit, _data={"id": "faj6z"}) + await message.unmute() diff --git a/tests/integration/models/reddit/test_modmail.py b/tests/integration/models/reddit/test_modmail.py index 8f3076b44..bd7791fab 100644 --- a/tests/integration/models/reddit/test_modmail.py +++ b/tests/integration/models/reddit/test_modmail.py @@ -1,122 +1,95 @@ -import sys from datetime import datetime -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.models import ModmailMessage, Subreddit from ... import IntegrationTest class TestModmailConversation(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_archive(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.archive() - conversation = await subreddit.modmail("faj6z") - assert conversation.state == 2 + async def test_archive(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.archive() + conversation = await subreddit.modmail("faj6z") + assert conversation.state == 2 - @mock.patch("asyncio.sleep", return_value=None) - async def test_highlight(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.highlight() - conversation = await subreddit.modmail("faj6z") - assert conversation.is_highlighted + async def test_highlight(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.highlight() + conversation = await subreddit.modmail("faj6z") + assert conversation.is_highlighted - @mock.patch("asyncio.sleep", return_value=None) - async def test_mute(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.mute() - conversation = await subreddit.modmail("faj6z") - assert conversation.user.mute_status["isMuted"] + async def test_mute(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.mute() + conversation = await subreddit.modmail("faj6z") + assert conversation.user.mute_status["isMuted"] - @mock.patch("asyncio.sleep", return_value=None) - async def test_mute_duration(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("g46rw") - await conversation.mute(num_days=7) - conversation = await subreddit.modmail("g46rw") - assert conversation.user.mute_status["isMuted"] - diff = datetime.fromisoformat( - conversation.user.mute_status["endDate"] - ) - datetime.fromisoformat(conversation.mod_actions[-1].date) - assert diff.days == 6 # 6 here because it is not 7 whole days + async def test_mute_duration(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("g46rw") + await conversation.mute(num_days=7) + conversation = await subreddit.modmail("g46rw") + assert conversation.user.mute_status["isMuted"] + diff = datetime.fromisoformat( + conversation.user.mute_status["endDate"] + ) - datetime.fromisoformat(conversation.mod_actions[-1].date) + assert diff.days == 6 # 6 here because it is not 7 whole days - @mock.patch("asyncio.sleep", return_value=None) - async def test_read(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.read() + async def test_read(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.read() - @mock.patch("asyncio.sleep", return_value=None) - async def test_read__other_conversations(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - other_conversation = await subreddit.modmail("fajcu") - await conversation.read(other_conversations=[other_conversation]) + async def test_read__other_conversations(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + other_conversation = await subreddit.modmail("fajcu") + await conversation.read(other_conversations=[other_conversation]) - async def test_reply(self): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - reply = await conversation.reply(body="A message") + async def test_reply(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + reply = await conversation.reply(body="A message") assert isinstance(reply, ModmailMessage) - @mock.patch("asyncio.sleep", return_value=None) - async def test_unarchive(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.unarchive() - conversation = await subreddit.modmail("faj6z") - assert conversation.state == 1 + async def test_unarchive(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.unarchive() + conversation = await subreddit.modmail("faj6z") + assert conversation.state == 1 - @mock.patch("asyncio.sleep", return_value=None) - async def test_unhighlight(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.unhighlight() - conversation = await subreddit.modmail("faj6z") - assert not conversation.is_highlighted + async def test_unhighlight(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.unhighlight() + conversation = await subreddit.modmail("faj6z") + assert not conversation.is_highlighted - @mock.patch("asyncio.sleep", return_value=None) - async def test_unmute(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.unmute() - conversation = await subreddit.modmail("faj6z") - assert not conversation.user.mute_status["isMuted"] + async def test_unmute(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.unmute() + conversation = await subreddit.modmail("faj6z") + assert not conversation.user.mute_status["isMuted"] - @mock.patch("asyncio.sleep", return_value=None) - async def test_unread(self, _): - self.reddit.read_only = False - subreddit = Subreddit(self.reddit, "all") - with self.use_cassette(): - conversation = await subreddit.modmail("faj6z") - await conversation.unread() - conversation = await subreddit.modmail("faj6z") - assert conversation.last_unread is not None + async def test_unread(self, reddit): + reddit.read_only = False + subreddit = Subreddit(reddit, "all") + conversation = await subreddit.modmail("faj6z") + await conversation.unread() + conversation = await subreddit.modmail("faj6z") + assert conversation.last_unread is not None diff --git a/tests/integration/models/reddit/test_more.py b/tests/integration/models/reddit/test_more.py index 58ac00958..dc95adaac 100644 --- a/tests/integration/models/reddit/test_more.py +++ b/tests/integration/models/reddit/test_more.py @@ -4,12 +4,7 @@ class TestMore(IntegrationTest): - def setup_method(self, method): - super().setup_method(method) - # Responses do not decode well on travis so manually renable gzip. - self.reddit._core._requestor._http._default_headers["Accept-Encoding"] = "gzip" - - async def test_comments(self): + async def test_comments(self, reddit): data = { "count": 9, "name": "t1_cu5tt8h", @@ -27,12 +22,11 @@ async def test_comments(self): "cu5pbdh", ], } - with self.use_cassette(): - more = MoreComments(self.reddit, data) - more.submission = await self.reddit.submission("3hahrw") - assert len((await more.comments())) == 7 + more = MoreComments(reddit, data) + more.submission = await reddit.submission("3hahrw") + assert len((await more.comments())) == 7 - async def test_comments__continue_thread_type(self): + async def test_comments__continue_thread_type(self, reddit): data = { "count": 0, "name": "t1__", @@ -40,7 +34,6 @@ async def test_comments__continue_thread_type(self): "parent_id": "t1_cu5v5h7", "children": [], } - with self.use_cassette(): - more = MoreComments(self.reddit, data) - more.submission = await self.reddit.submission("3hahrw") - assert len((await more.comments())) == 1 + more = MoreComments(reddit, data) + more.submission = await reddit.submission("3hahrw") + assert len((await more.comments())) == 1 diff --git a/tests/integration/models/reddit/test_multi.py b/tests/integration/models/reddit/test_multi.py index a9e63b484..e8140478d 100644 --- a/tests/integration/models/reddit/test_multi.py +++ b/tests/integration/models/reddit/test_multi.py @@ -1,9 +1,4 @@ -import sys - -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock +import pytest from asyncpraw.models import Comment, Submission, Subreddit @@ -11,218 +6,158 @@ class TestMultireddit(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_add(self, _): - self.reddit.read_only = False - with self.use_cassette(): - multireddits = await self.reddit.user.multireddits() - multi = multireddits[0] - await multi.add("redditdev") - await multi.load() - assert "redditdev" in multi.subreddits - - @mock.patch("asyncio.sleep", return_value=None) - async def test_copy(self, _): - self.reddit.read_only = False - with self.use_cassette(): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork", fetch=True - ) - new = await multi.copy() + async def test_add(self, reddit): + reddit.read_only = False + multireddits = await reddit.user.multireddits() + multi = multireddits[0] + await multi.add("redditdev") + await multi.load() + assert "redditdev" in multi.subreddits + + async def test_copy(self, reddit): + reddit.read_only = False + multi = await reddit.multireddit( + redditor="kjoneslol", name="sfwpornnetwork", fetch=True + ) + new = await multi.copy() assert new.name == multi.name assert new.display_name == multi.display_name assert "kjoneslol" not in new.path - @mock.patch("asyncio.sleep", return_value=None) - async def test_copy__with_display_name(self, _): - self.reddit.read_only = False - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) + async def test_copy__with_display_name(self, reddit): + reddit.read_only = False + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") name = "A--B\n" * 10 - with self.use_cassette(): - new = await multi.copy(display_name=name) + new = await multi.copy(display_name=name) assert new.name == "a_b_a_b_a_b_a_b_a_b" assert new.display_name == name assert "kjoneslol" not in new.path - @mock.patch("asyncio.sleep", return_value=None) - async def test_create(self, _): - self.reddit.read_only = False - with self.use_cassette(): - multireddit = await self.reddit.multireddit.create( - display_name="Async PRAW create test", subreddits=["redditdev"] - ) + async def test_create(self, reddit): + reddit.read_only = False + multireddit = await reddit.multireddit.create( + display_name="Async PRAW create test", subreddits=["redditdev"] + ) assert multireddit.display_name == "Async PRAW create test" assert multireddit.name == "async_praw_create_test" - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete(self, _): - self.reddit.read_only = False - with self.use_cassette(): - multireddits = await self.reddit.user.multireddits() - multi = multireddits[0] - await multi.delete() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_remove(self, _): - self.reddit.read_only = False - with self.use_cassette(): - multireddits = await self.reddit.user.multireddits() - multi = multireddits[0] - await multi.remove("redditdev") - await multi.load() - assert "redditdev" not in multi.subreddits - - async def test_subreddits(self): - with self.use_cassette(): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork", fetch=True - ) - assert multi.subreddits + async def test_delete(self, reddit): + reddit.read_only = False + multireddits = await reddit.user.multireddits() + multi = multireddits[0] + await multi.delete() + + async def test_remove(self, reddit): + reddit.read_only = False + multireddits = await reddit.user.multireddits() + multi = multireddits[0] + await multi.remove("redditdev") + await multi.load() + assert "redditdev" not in multi.subreddits + + async def test_subreddits(self, reddit): + multi = await reddit.multireddit( + redditor="kjoneslol", name="sfwpornnetwork", fetch=True + ) + assert multi.subreddits assert all(isinstance(x, Subreddit) for x in multi.subreddits) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False + async def test_update(self, reddit): + reddit.read_only = False subreddits = ["pokemongo", "pokemongodev"] - with self.use_cassette(): - multireddits = await self.reddit.user.multireddits() - multi = multireddits[0] - prev_path = multi.path - await multi.update( - display_name="Updated display name", subreddits=subreddits - ) + multireddits = await reddit.user.multireddits() + multi = multireddits[0] + prev_path = multi.path + await multi.update(display_name="Updated display name", subreddits=subreddits) assert multi.display_name == "Updated display name" assert multi.path == prev_path assert multi.subreddits == subreddits class TestMultiredditListings(IntegrationTest): - async def test_comments(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - comments = await self.async_list(multi.comments()) + async def test_comments(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + comments = await self.async_list(multi.comments()) assert len(comments) == 100 - async def test_controversial(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - submissions = await self.async_list(multi.controversial()) + async def test_controversial(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + submissions = await self.async_list(multi.controversial()) assert len(submissions) == 100 - async def test_gilded(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - submissions = await self.async_list(multi.gilded()) + async def test_gilded(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + submissions = await self.async_list(multi.gilded()) assert len(submissions) == 100 - async def test_hot(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - submissions = await self.async_list(multi.hot()) + async def test_hot(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + submissions = await self.async_list(multi.hot()) assert len(submissions) == 100 - async def test_new(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - submissions = await self.async_list(multi.new()) + async def test_new(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + submissions = await self.async_list(multi.new()) assert len(submissions) == 100 - @mock.patch("asyncio.sleep", return_value=None) - async def test_new__self_multi(self, _): - self.reddit.read_only = False - with self.use_cassette(): - multireddits = await self.reddit.user.multireddits() - multi = multireddits[0] - submissions = await self.async_list(multi.new()) + async def test_new__self_multi(self, reddit): + reddit.read_only = False + multireddits = await reddit.user.multireddits() + multi = multireddits[0] + submissions = await self.async_list(multi.new()) assert len(submissions) == 100 - async def test_random_rising(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - submissions = await self.async_list(multi.random_rising()) + async def test_random_rising(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + submissions = await self.async_list(multi.random_rising()) assert len(submissions) > 0 - async def test_rising(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - submissions = await self.async_list(multi.rising()) + async def test_rising(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + submissions = await self.async_list(multi.rising()) assert len(submissions) > 0 - async def test_top(self): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - submissions = await self.async_list(multi.top()) + async def test_top(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + submissions = await self.async_list(multi.top()) assert len(submissions) == 100 class TestMultiredditStreams(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_comments(self, _): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - generator = multi.stream.comments() - for i in range(101): - assert isinstance(await self.async_next(generator), Comment) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_comments__with_pause(self, _): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - comment_stream = multi.stream.comments(pause_after=0) - comment_count = 1 - pause_count = 1 + async def test_comments(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + generator = multi.stream.comments() + for i in range(101): + assert isinstance(await self.async_next(generator), Comment) + + async def test_comments__with_pause(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + comment_stream = multi.stream.comments(pause_after=0) + comment_count = 1 + pause_count = 1 + comment = await self.async_next(comment_stream) + while comment is not None: + comment_count += 1 comment = await self.async_next(comment_stream) - while comment is not None: - comment_count += 1 - comment = await self.async_next(comment_stream) - while comment is None: - pause_count += 1 - comment = await self.async_next(comment_stream) - assert comment_count == 101 - assert pause_count == 2 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submissions(self, _): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette(): - generator = multi.stream.submissions() - for i in range(102): - assert isinstance(await self.async_next(generator), Submission) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submissions__with_pause(self, _): - multi = await self.reddit.multireddit( - redditor="kjoneslol", name="sfwpornnetwork" - ) - with self.use_cassette("TestMultiredditStreams.test_submissions"): - generator = multi.stream.submissions(pause_after=-1) + while comment is None: + pause_count += 1 + comment = await self.async_next(comment_stream) + assert comment_count == 101 + assert pause_count == 2 + + async def test_submissions(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + generator = multi.stream.submissions() + for i in range(102): + assert isinstance(await self.async_next(generator), Submission) + + @pytest.mark.cassette_name("TestMultiredditStreams.test_submissions") + async def test_submissions__with_pause(self, reddit): + multi = await reddit.multireddit(redditor="kjoneslol", name="sfwpornnetwork") + generator = multi.stream.submissions(pause_after=-1) + submission = await self.async_next(generator) + submission_count = 0 + while submission is not None: + submission_count += 1 submission = await self.async_next(generator) - submission_count = 0 - while submission is not None: - submission_count += 1 - submission = await self.async_next(generator) - assert submission_count == 100 + assert submission_count == 100 diff --git a/tests/integration/models/reddit/test_poll.py b/tests/integration/models/reddit/test_poll.py index aafaeb0a0..b8bf2a0c9 100644 --- a/tests/integration/models/reddit/test_poll.py +++ b/tests/integration/models/reddit/test_poll.py @@ -1,6 +1,5 @@ """Test asyncpraw.models.poll.""" - import pytest from asyncpraw.models import PollData, PollOption @@ -9,25 +8,23 @@ class TestPollData(IntegrationTest): - async def test_get_attrs(self): + async def test_get_attrs(self, reddit): poll_id = "fo7p5b" - with self.use_cassette(): - submission = await self.reddit.submission(poll_id) - poll_data = submission.poll_data - assert isinstance(poll_data, PollData) - assert isinstance(poll_data.options, list) - assert all(isinstance(option, PollOption) for option in poll_data.options) - assert poll_data.user_selection is None # not logged in + submission = await reddit.submission(poll_id) + poll_data = submission.poll_data + assert isinstance(poll_data, PollData) + assert isinstance(poll_data.options, list) + assert all(isinstance(option, PollOption) for option in poll_data.options) + assert poll_data.user_selection is None # not logged in - with pytest.raises(KeyError): - poll_data.option("badID") + with pytest.raises(KeyError): + poll_data.option("badID") - async def test_get_user_selection(self): + async def test_get_user_selection(self, reddit): poll_id = "hlzjkc" - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission(poll_id) - poll_data = submission.poll_data - # For this test to pass, the authenticated user should have - # voted in the poll specified. - assert isinstance(poll_data.user_selection, PollOption) + reddit.read_only = False + submission = await reddit.submission(poll_id) + poll_data = submission.poll_data + # For this test to pass, the authenticated user should have + # voted in the poll specified. + assert isinstance(poll_data.user_selection, PollOption) diff --git a/tests/integration/models/reddit/test_redditor.py b/tests/integration/models/reddit/test_redditor.py index 61314d6d7..35c6741b7 100644 --- a/tests/integration/models/reddit/test_redditor.py +++ b/tests/integration/models/reddit/test_redditor.py @@ -1,14 +1,8 @@ """Test asyncpraw.models.redditor.""" -import sys import pytest from asyncprawcore import Forbidden -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import RedditAPIException from asyncpraw.models import Comment, Redditor, Submission @@ -19,348 +13,290 @@ class TestRedditor(IntegrationTest): FRIEND = "PyAPITestUser3" FRIEND_FULLNAME = "t2_6c1xj" - async def test_block(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(self.FRIEND, fetch=True) - await redditor.block() - - async def test_friend(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(self.FRIEND.lower(), fetch=True) - await redditor.friend() - - async def test_friend__with_note__no_gold(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - redditor = await self.reddit.redditor(self.FRIEND.lower(), fetch=True) - await redditor.friend(note="asyncpraw") - assert "GOLD_REQUIRED" == excinfo.value.error_type - - @mock.patch("asyncio.sleep", return_value=None) - async def test_friend_info(self, _): - self.reddit.read_only = False - with self.use_cassette(): - friend = await self.reddit.redditor(self.FRIEND, fetch=True) - redditor = await friend.friend_info() - assert self.FRIEND == redditor - assert "date" in redditor.__dict__ - assert "created_utc" not in redditor.__dict__ - await redditor.load() - assert hasattr(redditor, "created_utc") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_fullname_init(self, _): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor( - fetch=True, fullname=self.FRIEND_FULLNAME - ) - assert redditor.name == self.FRIEND - - async def test_gild__no_creddits(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - redditor = await self.reddit.redditor("subreddit_stats") - await redditor.gild() - assert "INSUFFICIENT_COINS" == excinfo.value.error_type - - @mock.patch("asyncio.sleep", return_value=None) - async def test_message(self, _): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("subreddit_stats") - await redditor.message( - subject="Async PRAW test", message="This is a test from Async PRAW" + async def test_block(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(self.FRIEND, fetch=True) + await redditor.block() + + async def test_friend(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(self.FRIEND.lower(), fetch=True) + await redditor.friend() + + async def test_friend__with_note__no_gold(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + redditor = await reddit.redditor(self.FRIEND.lower(), fetch=True) + await redditor.friend(note="asyncpraw") + assert "GOLD_REQUIRED" == excinfo.value.error_type + + async def test_friend_info(self, reddit): + reddit.read_only = False + friend = await reddit.redditor(self.FRIEND, fetch=True) + redditor = await friend.friend_info() + assert self.FRIEND == redditor + assert "date" in redditor.__dict__ + assert "created_utc" not in redditor.__dict__ + await redditor.load() + assert hasattr(redditor, "created_utc") + + async def test_fullname_init(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(fetch=True, fullname=self.FRIEND_FULLNAME) + assert redditor.name == self.FRIEND + + async def test_gild__no_creddits(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + redditor = await reddit.redditor("subreddit_stats") + await redditor.gild() + assert "INSUFFICIENT_COINS" == excinfo.value.error_type + + async def test_message(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("subreddit_stats") + await redditor.message( + subject="Async PRAW test", message="This is a test from Async PRAW" + ) + + async def test_message_from_subreddit(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("subreddit_stats") + await redditor.message( + subject="Async PRAW test", + message="This is a test from Async PRAW", + from_subreddit=pytest.placeholders.test_subreddit, + ) + + async def test_moderated(self, reddit): + redditor = await reddit.redditor("spez") + redditor_no_mod = await reddit.redditor("Turambar420") + moderated = await redditor.moderated() + assert len(moderated) > 0 + assert len(moderated[0].display_name) > 0 + not_moderated = await redditor_no_mod.moderated() + assert len(not_moderated) == 0 + + async def test_multireddits(self, reddit): + redditor = await reddit.redditor("kjoneslol") + multireddits = await redditor.multireddits() + for multireddit in multireddits: + if "sfwpornnetwork" == multireddit.name: + break + else: + assert False, "sfwpornnetwork not found in multireddits" + + async def test_stream__comments(self, reddit): + redditor = await reddit.redditor("AutoModerator") + generator = redditor.stream.comments() + for i in range(101): + assert isinstance(await self.async_next(generator), Comment) + + async def test_stream__submissions(self, reddit): + redditor = await reddit.redditor(pytest.placeholders.username) + generator = redditor.stream.submissions() + for i in range(101): + assert isinstance(await self.async_next(generator), Submission) + + async def test_trophies(self, reddit): + redditor = await reddit.redditor("spez") + trophies = await redditor.trophies() + assert len(trophies) > 0 + assert len(trophies[0].name) > 0 + + async def test_trophies__user_not_exist(self, reddit): + redditor = Redditor(reddit, "thisusershouldnotexist") + with pytest.raises(RedditAPIException) as excinfo: + await redditor.trophies() + assert "USER_DOESNT_EXIST" == excinfo.value.error_type + + async def test_unblock(self, reddit): + reddit.read_only = False + blocked = await reddit.user.blocked() + for redditor in blocked: + await redditor.unblock() + + async def test_unfriend(self, reddit): + reddit.read_only = False + friends = await reddit.user.friends() + redditor = friends[0] + assert await redditor.unfriend() is None + + async def test_notes__subreddits(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("Lil_SpazTest") + notes = await self.async_list( + redditor.notes.subreddits( + pytest.placeholders.test_subreddit, "Lil_SpazTest" ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_message_from_subreddit(self, _): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("subreddit_stats") - await redditor.message( - subject="Async PRAW test", - message="This is a test from Async PRAW", - from_subreddit=pytest.placeholders.test_subreddit, - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderated(self, _): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - redditor_no_mod = await self.reddit.redditor("Turambar420") - moderated = await redditor.moderated() - assert len(moderated) > 0 - assert len(moderated[0].display_name) > 0 - not_moderated = await redditor_no_mod.moderated() - assert len(not_moderated) == 0 - - async def test_multireddits(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("kjoneslol") - multireddits = await redditor.multireddits() - for multireddit in multireddits: - if "sfwpornnetwork" == multireddit.name: - break - else: - assert False, "sfwpornnetwork not found in multireddits" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_stream__comments(self, _): - with self.use_cassette(): - redditor = await self.reddit.redditor("AutoModerator") - generator = redditor.stream.comments() - for i in range(101): - assert isinstance(await self.async_next(generator), Comment) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_stream__submissions(self, _): - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - generator = redditor.stream.submissions() - for i in range(101): - assert isinstance(await self.async_next(generator), Submission) - - async def test_trophies(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - trophies = await redditor.trophies() - assert len(trophies) > 0 - assert len(trophies[0].name) > 0 - - async def test_trophies__user_not_exist(self): - with self.use_cassette(): - redditor = Redditor(self.reddit, "thisusershouldnotexist") - with pytest.raises(RedditAPIException) as excinfo: - await redditor.trophies() - assert "USER_DOESNT_EXIST" == excinfo.value.error_type - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unblock(self, _): - self.reddit.read_only = False - with self.use_cassette(): - blocked = await self.reddit.user.blocked() - for redditor in blocked: - await redditor.unblock() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unfriend(self, _): - self.reddit.read_only = False - with self.use_cassette(): - friends = await self.reddit.user.friends() - redditor = friends[0] - assert await redditor.unfriend() is None - - async def test_notes__subreddits(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("Lil_SpazTest") - notes = await self.async_list( - redditor.notes.subreddits( - pytest.placeholders.test_subreddit, "Lil_SpazTest" - ) - ) - assert len(notes) == 2 - assert notes[0].user == redditor - assert notes[1] is None + ) + assert len(notes) == 2 + assert notes[0].user == redditor + assert notes[1] is None class TestRedditorListings(IntegrationTest): - async def test_comments__controversial(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - comments = await self.async_list(redditor.comments.controversial()) + async def test_comments__controversial(self, reddit): + redditor = await reddit.redditor("spez") + comments = await self.async_list(redditor.comments.controversial()) assert len(comments) == 100 - async def test_comments__hot(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - comments = await self.async_list(redditor.comments.hot()) + async def test_comments__hot(self, reddit): + redditor = await reddit.redditor("spez") + comments = await self.async_list(redditor.comments.hot()) assert len(comments) == 100 - async def test_comments__new(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - comments = await self.async_list(redditor.comments.new()) + async def test_comments__new(self, reddit): + redditor = await reddit.redditor("spez") + comments = await self.async_list(redditor.comments.new()) assert len(comments) == 100 - async def test_comments__top(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - comments = await self.async_list(redditor.comments.top()) + async def test_comments__top(self, reddit): + redditor = await reddit.redditor("spez") + comments = await self.async_list(redditor.comments.top()) assert len(comments) == 100 - async def test_controversial(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - items = await self.async_list(redditor.controversial()) + async def test_controversial(self, reddit): + redditor = await reddit.redditor("spez") + items = await self.async_list(redditor.controversial()) assert len(items) == 100 - async def test_downvoted(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - submissions = await self.async_list(redditor.downvoted()) + async def test_downvoted(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + submissions = await self.async_list(redditor.downvoted()) assert len(submissions) > 0 - async def test_downvoted__in_read_only_mode(self): - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - with pytest.raises(Forbidden): - await self.async_list(redditor.downvoted()) - - async def test_downvoted__other_user(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - with pytest.raises(Forbidden): - await self.async_list(redditor.downvoted()) - - async def test_gilded(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - items = await self.async_list(redditor.gilded(limit=50)) + async def test_downvoted__in_read_only_mode(self, reddit): + redditor = await reddit.redditor(pytest.placeholders.username) + with pytest.raises(Forbidden): + await self.async_list(redditor.downvoted()) + + async def test_downvoted__other_user(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("spez") + with pytest.raises(Forbidden): + await self.async_list(redditor.downvoted()) + + async def test_gilded(self, reddit): + redditor = await reddit.redditor("spez") + items = await self.async_list(redditor.gilded(limit=50)) assert len(items) == 50 - async def test_gildings(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - items = await self.async_list(redditor.gildings()) + async def test_gildings(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + items = await self.async_list(redditor.gildings()) assert isinstance(items, list) - async def test_gildings__in_read_only_mode(self): - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - with pytest.raises(Forbidden): - await self.async_list(redditor.gildings()) - - async def test_gildings__other_user(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - with pytest.raises(Forbidden): - await self.async_list(redditor.gildings()) - - async def test_hidden(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - submissions = await self.async_list(redditor.hidden()) + async def test_gildings__in_read_only_mode(self, reddit): + redditor = await reddit.redditor(pytest.placeholders.username) + with pytest.raises(Forbidden): + await self.async_list(redditor.gildings()) + + async def test_gildings__other_user(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("spez") + with pytest.raises(Forbidden): + await self.async_list(redditor.gildings()) + + async def test_hidden(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + submissions = await self.async_list(redditor.hidden()) assert len(submissions) > 0 - async def test_hidden__in_read_only_mode(self): - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - with pytest.raises(Forbidden): - await self.async_list(redditor.hidden()) - - async def test_hidden__other_user(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - with pytest.raises(Forbidden): - await self.async_list(redditor.hidden()) - - async def test_hot(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - items = await self.async_list(redditor.hot()) + async def test_hidden__in_read_only_mode(self, reddit): + redditor = await reddit.redditor(pytest.placeholders.username) + with pytest.raises(Forbidden): + await self.async_list(redditor.hidden()) + + async def test_hidden__other_user(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("spez") + with pytest.raises(Forbidden): + await self.async_list(redditor.hidden()) + + async def test_hot(self, reddit): + redditor = await reddit.redditor("spez") + items = await self.async_list(redditor.hot()) assert len(items) == 100 - async def test_new(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - items = await self.async_list(redditor.new()) + async def test_new(self, reddit): + redditor = await reddit.redditor("spez") + items = await self.async_list(redditor.new()) assert len(items) == 100 - async def test_saved(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - items = await self.async_list(redditor.saved()) + async def test_saved(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + items = await self.async_list(redditor.saved()) assert len(items) > 0 - async def test_saved__in_read_only_mode(self): - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - with pytest.raises(Forbidden): - await self.async_list(redditor.saved()) - - async def test_saved__other_user(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - with pytest.raises(Forbidden): - await self.async_list(redditor.saved()) - - async def test_submissions__controversial(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spladug") - submissions = await self.async_list(redditor.submissions.controversial()) + async def test_saved__in_read_only_mode(self, reddit): + redditor = await reddit.redditor(pytest.placeholders.username) + with pytest.raises(Forbidden): + await self.async_list(redditor.saved()) + + async def test_saved__other_user(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("spez") + with pytest.raises(Forbidden): + await self.async_list(redditor.saved()) + + async def test_submissions__controversial(self, reddit): + redditor = await reddit.redditor("spladug") + submissions = await self.async_list(redditor.submissions.controversial()) assert len(submissions) == 100 - async def test_submissions__hot(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - submissions = await self.async_list(redditor.submissions.hot()) + async def test_submissions__hot(self, reddit): + redditor = await reddit.redditor("spez") + submissions = await self.async_list(redditor.submissions.hot()) assert len(submissions) == 100 - async def test_submissions__new(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - submissions = await self.async_list(redditor.submissions.new()) + async def test_submissions__new(self, reddit): + redditor = await reddit.redditor("spez") + submissions = await self.async_list(redditor.submissions.new()) assert len(submissions) == 100 - async def test_submissions__top(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spladug") - submissions = await self.async_list(redditor.submissions.top()) + async def test_submissions__top(self, reddit): + redditor = await reddit.redditor("spladug") + submissions = await self.async_list(redditor.submissions.top()) assert len(submissions) == 100 - async def test_top(self): - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - items = await self.async_list(redditor.top()) + async def test_top(self, reddit): + redditor = await reddit.redditor("spez") + items = await self.async_list(redditor.top()) assert len(items) == 100 - async def test_trust_and_distrust(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("PyAPITestUser3") + async def test_trust_and_distrust(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("PyAPITestUser3") + await redditor.trust() + redditor = (await reddit.user.trusted())[0] + await redditor.distrust() + + async def test_trust_blocked_user(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("kn0thing") + await redditor.block() + with pytest.raises(RedditAPIException) as excinfo: await redditor.trust() - redditor = (await self.reddit.user.trusted())[0] - await redditor.distrust() - - async def test_trust_blocked_user(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("kn0thing") - await redditor.block() - with pytest.raises(RedditAPIException) as excinfo: - await redditor.trust() - assert "CANT_WHITELIST_AN_ENEMY" == excinfo.value.error_type - - async def test_upvoted(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - submissions = await self.async_list(redditor.upvoted()) + assert "CANT_WHITELIST_AN_ENEMY" == excinfo.value.error_type + + async def test_upvoted(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + submissions = await self.async_list(redditor.upvoted()) assert len(submissions) > 0 - async def test_upvoted__in_read_only_mode(self): - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - with pytest.raises(Forbidden): - await self.async_list(redditor.upvoted()) - - async def test_upvoted__other_user(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor("spez") - with pytest.raises(Forbidden): - await self.async_list(redditor.upvoted()) + async def test_upvoted__in_read_only_mode(self, reddit): + redditor = await reddit.redditor(pytest.placeholders.username) + with pytest.raises(Forbidden): + await self.async_list(redditor.upvoted()) + + async def test_upvoted__other_user(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor("spez") + with pytest.raises(Forbidden): + await self.async_list(redditor.upvoted()) diff --git a/tests/integration/models/reddit/test_removal_reasons.py b/tests/integration/models/reddit/test_removal_reasons.py index e39c5e43c..45f0cceda 100644 --- a/tests/integration/models/reddit/test_removal_reasons.py +++ b/tests/integration/models/reddit/test_removal_reasons.py @@ -1,12 +1,5 @@ -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import ClientException from asyncpraw.models import RemovalReason @@ -14,88 +7,70 @@ class TestRemovalReason(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test__fetch(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - reason = await subreddit.mod.removal_reasons.get_reason("159bqhvme3rxe") - assert reason.title.startswith("Be Kind") + async def test__fetch(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reason = await subreddit.mod.removal_reasons.get_reason("159bqhvme3rxe") + assert reason.title.startswith("Be Kind") - @mock.patch("asyncio.sleep", return_value=None) - async def test__fetch_int(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette("TestRemovalReason.test__fetch"): - reason = await subreddit.mod.removal_reasons.get_reason(0) - assert isinstance(reason, RemovalReason) + @pytest.mark.cassette_name("TestRemovalReason.test__fetch") + async def test__fetch_int(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reason = await subreddit.mod.removal_reasons.get_reason(0) + assert isinstance(reason, RemovalReason) - @mock.patch("asyncio.sleep", return_value=None) - async def test__fetch_slice(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette("TestRemovalReason.test__fetch"): - reasons = await subreddit.mod.removal_reasons.get_reason(slice(-3, None)) - assert len(reasons) == 3 - for reason in reasons: - assert isinstance(reason, RemovalReason) + @pytest.mark.cassette_name("TestRemovalReason.test__fetch") + async def test__fetch_slice(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reasons = await subreddit.mod.removal_reasons.get_reason(slice(-3, None)) + assert len(reasons) == 3 + for reason in reasons: + assert isinstance(reason, RemovalReason) - @mock.patch("asyncio.sleep", return_value=None) - async def test__fetch__invalid_reason(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - with pytest.raises(ClientException) as excinfo: - await subreddit.mod.removal_reasons.get_reason("invalid") - assert ( - str(excinfo.value) - == f"Subreddit {subreddit} does not have the removal reason invalid" - ) + async def test__fetch__invalid_reason(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(ClientException) as excinfo: + await subreddit.mod.removal_reasons.get_reason("invalid") + assert ( + str(excinfo.value) + == f"Subreddit {subreddit} does not have the removal reason invalid" + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - reason = await subreddit.mod.removal_reasons.get_reason("159bqhvme3rxe") - await reason.update(title="New Title", message="New Message") + async def test_update(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reason = await subreddit.mod.removal_reasons.get_reason("159bqhvme3rxe") + await reason.update(title="New Title", message="New Message") - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_empty(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - reasons = [reason async for reason in subreddit.mod.removal_reasons] - reason = reasons[0] - await reason.update() + async def test_update_empty(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reasons = [reason async for reason in subreddit.mod.removal_reasons] + reason = reasons[0] + await reason.update() - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - reason = await subreddit.mod.removal_reasons.get_reason("157l8fono55wf") - await reason.delete() + async def test_delete(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reason = await subreddit.mod.removal_reasons.get_reason("157l8fono55wf") + await reason.delete() class TestSubredditRemovalReasons(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test__aiter(self, _): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for reason in subreddit.mod.removal_reasons: - assert isinstance(reason, RemovalReason) - count += 1 - assert count > 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_add(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - reason = await subreddit.mod.removal_reasons.add( - title="Test", message="test" - ) + async def test__aiter(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for reason in subreddit.mod.removal_reasons: assert isinstance(reason, RemovalReason) + count += 1 + assert count > 0 + + async def test_add(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reason = await subreddit.mod.removal_reasons.add(title="Test", message="test") + assert isinstance(reason, RemovalReason) diff --git a/tests/integration/models/reddit/test_rules.py b/tests/integration/models/reddit/test_rules.py index 6a1d163ee..67950217c 100644 --- a/tests/integration/models/reddit/test_rules.py +++ b/tests/integration/models/reddit/test_rules.py @@ -1,12 +1,5 @@ -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import ClientException, RedditAPIException from asyncpraw.models import Rule @@ -14,198 +7,174 @@ class TestRule(IntegrationTest): - async def test_add_rule(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule = await subreddit.rules.mod.add( - short_name="PRAW Test", - kind="all", - description="Test by Async PRAW", - violation_reason="PTest", - ) + async def test_add_rule(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule = await subreddit.rules.mod.add( + short_name="PRAW Test", + kind="all", + description="Test by Async PRAW", + violation_reason="PTest", + ) assert rule.short_name == "PRAW Test" assert rule.kind == "all" assert rule.description == "Test by Async PRAW" assert rule.violation_reason == "PTest" - async def test_add_rule_without_violation_reason(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule = await subreddit.rules.mod.add( - short_name="PRAW Test 2", kind="comment" - ) - assert rule.short_name == "PRAW Test 2" - assert rule.kind == "comment" - assert rule.description == "" - assert rule.violation_reason == "PRAW Test 2" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete_rule(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rules = await self.async_list(subreddit.rules) - rule = rules[-1] - await rule.mod.delete() - assert len(await self.async_list(subreddit.rules)) == (len(rules) - 1) - - async def test_aiter_rules(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - async for rule in subreddit.rules: - assert isinstance(rule, Rule) - - @pytest.mark.filterwarnings("ignore", category=DeprecationWarning) - async def test_aiter_call(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rules = await subreddit.rules() - assert rules["rules"][0]["short_name"] == "Test post 12" - - async def test_iter_rule_string(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette("TestRule.test_aiter_rules"): - rule = await subreddit.rules.get_rule("PRAW Test") - assert isinstance(rule, Rule) - assert rule.kind - - async def test_iter_rule_invalid(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette("TestRule.test_aiter_rules"): - with pytest.raises(ClientException) as excinfo: - await subreddit.rules.get_rule("fake rule") - assert ( - excinfo.value.args[0] - == f"Subreddit {subreddit} does not have the rule fake rule" - ) - - async def test_iter_rule_int(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette("TestRule.test_aiter_rules"): - rule = await subreddit.rules.get_rule(0) + async def test_add_rule_without_violation_reason(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule = await subreddit.rules.mod.add(short_name="PRAW Test 2", kind="comment") + assert rule.short_name == "PRAW Test 2" + assert rule.kind == "comment" + assert rule.description == "" + assert rule.violation_reason == "PRAW Test 2" + + async def test_delete_rule(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rules = await self.async_list(subreddit.rules) + rule = rules[-1] + await rule.mod.delete() + assert len(await self.async_list(subreddit.rules)) == (len(rules) - 1) + + async def test_aiter_rules(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for rule in subreddit.rules: assert isinstance(rule, Rule) - async def test_iter_rule_negative_int(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette("TestRule.test_aiter_rules"): - rule = await subreddit.rules.get_rule(-1) + @pytest.mark.filterwarnings("ignore", category=DeprecationWarning) + async def test_aiter_call(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rules = await subreddit.rules() + assert rules["rules"][0]["short_name"] == "Test post 12" + + @pytest.mark.cassette_name("TestRule.test_aiter_rules") + async def test_iter_rule_string(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule = await subreddit.rules.get_rule("PRAW Test") + assert isinstance(rule, Rule) + assert rule.kind + + @pytest.mark.cassette_name("TestRule.test_aiter_rules") + async def test_iter_rule_invalid(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(ClientException) as excinfo: + await subreddit.rules.get_rule("fake rule") + assert ( + excinfo.value.args[0] + == f"Subreddit {subreddit} does not have the rule fake rule" + ) + + @pytest.mark.cassette_name("TestRule.test_aiter_rules") + async def test_iter_rule_int(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule = await subreddit.rules.get_rule(0) + assert isinstance(rule, Rule) + + @pytest.mark.cassette_name("TestRule.test_aiter_rules") + async def test_iter_rule_negative_int(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule = await subreddit.rules.get_rule(-1) + assert isinstance(rule, Rule) + + @pytest.mark.cassette_name("TestRule.test_aiter_rules") + async def test_iter_rule_slice(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rules = await subreddit.rules.get_rule(slice(-3, None)) + assert len(rules) == 3 + for rule in rules: assert isinstance(rule, Rule) - async def test_iter_rule_slice(self): - with self.use_cassette("TestRule.test_aiter_rules"): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - rules = await subreddit.rules.get_rule(slice(-3, None)) - assert len(rules) == 3 - for rule in rules: - assert isinstance(rule, Rule) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reorder_rules(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule_list = await self.async_list(subreddit.rules) - reordered = rule_list[2:3] + rule_list[0:2] + rule_list[3:] - rule_info = {rule.short_name: rule for rule in rule_list} - await subreddit.rules.mod.reorder(reordered) - new_rules = await self.async_list(subreddit.rules) - assert new_rules != rule_list - for rule in new_rules: - assert rule_info[rule.short_name] == rule - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reorder_rules_double(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule_list = await self.async_list(subreddit.rules) - with pytest.raises(RedditAPIException): - await subreddit.rules.mod.reorder(rule_list + rule_list[0:1]) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reorder_rules_empty(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - with pytest.raises(RedditAPIException): - await subreddit.rules.mod.reorder([]) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reorder_rules_no_reorder(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule_list = await self.async_list(subreddit.rules) - new_list = await subreddit.rules.mod.reorder(rule_list) - assert new_list == rule_list - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reorder_rules_omit(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule_list = await self.async_list(subreddit.rules) - with pytest.raises(RedditAPIException): - await subreddit.rules.mod.reorder(rule_list[:-1]) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_rule(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule_list = await self.async_list(subreddit.rules) - rule = rule_list[0] - rule2 = await rule.mod.update( - description="Updated rule", - kind="link", - violation_reason="PUpdate", - ) - assert rule.description != rule2.description - assert rule2.description == "Updated rule" - assert rule.kind != rule2.kind - assert rule2.kind == "link" - assert rule.violation_reason != rule2.violation_reason - assert rule2.violation_reason == "PUpdate" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_rule_short_name(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule = await subreddit.rules.get_rule("Test Rule") - rule2 = await rule.mod.update( - short_name="PRAW Update", - description="Updated rule", - kind="comment", - violation_reason="PUpdate", - ) - assert rule != rule2 - assert rule2.short_name == "PRAW Update" - assert rule.description != rule2.description - assert rule2.description == "Updated rule" - assert rule.kind != rule2.kind - assert rule2.kind == "comment" - assert rule.violation_reason != rule2.violation_reason - assert rule2.violation_reason == "PUpdate" - async for new_rule in subreddit.rules: - assert new_rule.short_name != rule.short_name - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_rule_no_params(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - rule = await subreddit.rules.get_rule("Test Rule") - rule2 = await rule.mod.update() - for attr in ( - "created_utc", - "description", - "kind", - "priority", - "short_name", - "subreddit", - "violation_reason", - ): - assert getattr(rule, attr) == getattr(rule2, attr) + async def test_reorder_rules(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule_list = await self.async_list(subreddit.rules) + reordered = rule_list[2:3] + rule_list[0:2] + rule_list[3:] + rule_info = {rule.short_name: rule for rule in rule_list} + await subreddit.rules.mod.reorder(reordered) + new_rules = await self.async_list(subreddit.rules) + assert new_rules != rule_list + for rule in new_rules: + assert rule_info[rule.short_name] == rule + + async def test_reorder_rules_double(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule_list = await self.async_list(subreddit.rules) + with pytest.raises(RedditAPIException): + await subreddit.rules.mod.reorder(rule_list + rule_list[0:1]) + + async def test_reorder_rules_empty(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(RedditAPIException): + await subreddit.rules.mod.reorder([]) + + async def test_reorder_rules_no_reorder(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule_list = await self.async_list(subreddit.rules) + new_list = await subreddit.rules.mod.reorder(rule_list) + assert new_list == rule_list + + async def test_reorder_rules_omit(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule_list = await self.async_list(subreddit.rules) + with pytest.raises(RedditAPIException): + await subreddit.rules.mod.reorder(rule_list[:-1]) + + async def test_update_rule(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule_list = await self.async_list(subreddit.rules) + rule = rule_list[0] + rule2 = await rule.mod.update( + description="Updated rule", + kind="link", + violation_reason="PUpdate", + ) + assert rule.description != rule2.description + assert rule2.description == "Updated rule" + assert rule.kind != rule2.kind + assert rule2.kind == "link" + assert rule.violation_reason != rule2.violation_reason + assert rule2.violation_reason == "PUpdate" + + async def test_update_rule_short_name(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule = await subreddit.rules.get_rule("Test Rule") + rule2 = await rule.mod.update( + short_name="PRAW Update", + description="Updated rule", + kind="comment", + violation_reason="PUpdate", + ) + assert rule != rule2 + assert rule2.short_name == "PRAW Update" + assert rule.description != rule2.description + assert rule2.description == "Updated rule" + assert rule.kind != rule2.kind + assert rule2.kind == "comment" + assert rule.violation_reason != rule2.violation_reason + assert rule2.violation_reason == "PUpdate" + async for new_rule in subreddit.rules: + assert new_rule.short_name != rule.short_name + + async def test_update_rule_no_params(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + rule = await subreddit.rules.get_rule("Test Rule") + rule2 = await rule.mod.update() + for attr in ( + "created_utc", + "description", + "kind", + "priority", + "short_name", + "subreddit", + "violation_reason", + ): + assert getattr(rule, attr) == getattr(rule2, attr) diff --git a/tests/integration/models/reddit/test_submission.py b/tests/integration/models/reddit/test_submission.py index 571f7eba4..0b246925f 100644 --- a/tests/integration/models/reddit/test_submission.py +++ b/tests/integration/models/reddit/test_submission.py @@ -1,12 +1,5 @@ -import sys - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import RedditAPIException from asyncpraw.models import Comment, Submission @@ -14,577 +7,466 @@ class TestSubmission(IntegrationTest): - async def test_comments(self): - with self.use_cassette(): - submission = await self.reddit.submission("2gmzqe") - assert len(submission.comments) == 1 - assert isinstance(submission.comments[0], Comment) - assert isinstance(submission.comments[0].replies[0], Comment) - - async def test_comments__fetch_async_call(self): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("2gmzqe", fetch=False) - with pytest.deprecated_call(): - await submission.comments() - assert submission._fetched - assert submission.comments - - async def test_clear_vote(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").clear_vote() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = Submission(self.reddit, "hmkbt8") - await submission.delete() - await submission.load() - assert submission.author is None - assert submission.selftext == "[deleted]" - - async def test_disable_inbox_replies(self): - self.reddit.read_only = False - submission = Submission(self.reddit, "hmkbt8") - with self.use_cassette(): - await submission.disable_inbox_replies() - - async def test_downvote(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").downvote() - - async def test_duplicates(self): - with self.use_cassette(): - submission = Submission(self.reddit, "avj2v") - assert len(await self.async_list(submission.duplicates())) > 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_edit(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = Submission(self.reddit, "hmkbt8") - await submission.edit("New text") - assert submission.selftext == "New text" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_edit_invalid(self, _): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - submission = Submission(self.reddit, "hmkfoy") - with pytest.raises(RedditAPIException): - await submission.edit("rewtwert") - - async def test_enable_inbox_replies(self): - self.reddit.read_only = False - submission = Submission(self.reddit, "hmkbt8") - with self.use_cassette(): - await submission.enable_inbox_replies() - - async def test_award(self): - self.reddit.read_only = False - with self.use_cassette(): - award_data = await Submission(self.reddit, "j3kyoo").award() - assert award_data["gildings"]["gid_2"] == 2 - - async def test_award__not_enough_coins(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await Submission(self.reddit, "j3kyoo").award( - gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" - ) - exception = excinfo.value - assert "INSUFFICIENT_COINS_WITH_AMOUNT" == exception.error_type - - async def test_award__self_gild(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await Submission(self.reddit, "j3fkiw").award( - gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" - ) - exception = excinfo.value - assert "SELF_GILDING_NOT_ALLOWED" == exception.error_type - - async def test_gild(self): - self.reddit.read_only = False - with self.use_cassette("TestSubmission.test_award"): - award_data = await Submission(self.reddit, "j3kyoo").gild() - assert award_data["gildings"]["gid_2"] == 2 - - async def test_gilded(self): - with self.use_cassette(): - submission = await self.reddit.submission("2gmzqe") - assert 1 == submission.gilded - - async def test_hide(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").hide() - - async def test_hide_multiple(self): - self.reddit.read_only = False + async def test_comments(self, reddit): + submission = await reddit.submission("2gmzqe") + assert len(submission.comments) == 1 + assert isinstance(submission.comments[0], Comment) + assert isinstance(submission.comments[0].replies[0], Comment) + + async def test_comments__fetch_async_call(self, reddit): + reddit.read_only = False + submission = await reddit.submission("2gmzqe", fetch=False) + with pytest.deprecated_call(): + await submission.comments() + assert submission._fetched + assert submission.comments + + async def test_clear_vote(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").clear_vote() + + async def test_delete(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + await submission.delete() + await submission.load() + assert submission.author is None + assert submission.selftext == "[deleted]" + + async def test_disable_inbox_replies(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + await submission.disable_inbox_replies() + + async def test_downvote(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").downvote() + + async def test_duplicates(self, reddit): + submission = Submission(reddit, "avj2v") + assert len(await self.async_list(submission.duplicates())) > 0 + + async def test_edit(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + await submission.edit("New text") + assert submission.selftext == "New text" + + async def test_edit_invalid(self, reddit): + reddit.read_only = False + reddit.validate_on_submit = True + submission = Submission(reddit, "hmkfoy") + with pytest.raises(RedditAPIException): + await submission.edit("rewtwert") + + async def test_enable_inbox_replies(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + await submission.enable_inbox_replies() + + async def test_award(self, reddit): + reddit.read_only = False + award_data = await Submission(reddit, "j3kyoo").award() + assert award_data["gildings"]["gid_2"] == 2 + + async def test_award__not_enough_coins(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + await Submission(reddit, "j3kyoo").award( + gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" + ) + exception = excinfo.value + assert "INSUFFICIENT_COINS_WITH_AMOUNT" == exception.error_type + + async def test_award__self_gild(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + await Submission(reddit, "j3fkiw").award( + gild_type="award_2385c499-a1fb-44ec-b9b7-d260f3dc55de" + ) + exception = excinfo.value + assert "SELF_GILDING_NOT_ALLOWED" == exception.error_type + + @pytest.mark.cassette_name("TestSubmission.test_award") + async def test_gild(self, reddit): + reddit.read_only = False + award_data = await Submission(reddit, "j3kyoo").gild() + assert award_data["gildings"]["gid_2"] == 2 + + async def test_gilded(self, reddit): + submission = await reddit.submission("2gmzqe") + assert 1 == submission.gilded + + async def test_hide(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").hide() + + async def test_hide_multiple(self, reddit): + reddit.read_only = False submissions = [ - Submission(self.reddit, "fewoh"), - Submission(self.reddit, "c625v"), + Submission(reddit, "fewoh"), + Submission(reddit, "c625v"), ] - with self.use_cassette(): - await Submission(self.reddit, "1eipl7").hide(other_submissions=submissions) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_hide_multiple_in_batches(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("popular") - submissions = await self.async_list(subreddit.hot(limit=100)) - assert len(submissions) == 100 - await submissions[0].hide(other_submissions=submissions[1:]) - - async def test_invalid_attribute(self): - with self.use_cassette(): - with pytest.raises(AttributeError) as excinfo: - submission = await self.reddit.submission("2gmzqe") - submission.invalid_attribute + await Submission(reddit, "1eipl7").hide(other_submissions=submissions) + + async def test_hide_multiple_in_batches(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("popular") + submissions = await self.async_list(subreddit.hot(limit=100)) + assert len(submissions) == 100 + await submissions[0].hide(other_submissions=submissions[1:]) + + async def test_invalid_attribute(self, reddit): + with pytest.raises(AttributeError) as excinfo: + submission = await reddit.submission("2gmzqe") + submission.invalid_attribute assert ( excinfo.value.args[0] == "'Submission' object has no attribute 'invalid_attribute'" ) - async def test_reply(self): - self.reddit.read_only = False - with self.use_cassette(): - submission = Submission(self.reddit, "hmkbt8") - comment = await submission.reply("Test reply") - assert comment.author == pytest.placeholders.username - assert comment.body == "Test reply" - assert comment.parent_id == submission.fullname - - # async def test_reply__none(self): # TODO: I have not been able to reproduce this again; same with praw - # self.reddit.read_only = False - # submission = Submission(self.reddit, "ah19vv") - # with self.use_cassette(): - # reply = submission.reply("TEST") + async def test_reply(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + comment = await submission.reply("Test reply") + assert comment.author == pytest.placeholders.username + assert comment.body == "Test reply" + assert comment.parent_id == submission.fullname + + # async def test_reply__none(self, reddit): # TODO: I have not been able to reproduce this again; same with praw + # reddit.read_only = False + # submission = Submission(reddit, "ah19vv") + # reply = submission.reply("TEST") # assert reply is None - async def test_report(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").report("praw") + async def test_report(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").report("praw") - async def test_save(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").save() + async def test_save(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").save() - async def test_mark_visited(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkfoi").mark_visited() + async def test_mark_visited(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkfoi").mark_visited() - async def test_unhide(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").unhide() + async def test_unhide(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").unhide() - async def test_unhide_multiple(self): - self.reddit.read_only = False + async def test_unhide_multiple(self, reddit): + reddit.read_only = False submissions = [ - Submission(self.reddit, "fewoh"), - Submission(self.reddit, "c625v"), + Submission(reddit, "fewoh"), + Submission(reddit, "c625v"), ] - with self.use_cassette(): - await Submission(self.reddit, "1eipl7").unhide( - other_submissions=submissions - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unhide_multiple_in_batches(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("popular") - submissions = await self.async_list(subreddit.hot(limit=100)) - assert len(submissions) == 100 - await submissions[0].unhide(other_submissions=submissions[1:]) - - async def test_unsave(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").unsave() - - async def test_upvote(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").upvote() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_crosspost(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = pytest.placeholders.test_subreddit - crosspost_parent = await self.reddit.submission("6vx01b") - - submission = await crosspost_parent.crosspost(subreddit) - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.title == "Test Title" - assert submission.crosspost_parent == "t3_6vx01b" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_crosspost__subreddit_object(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - crosspost_parent = await self.reddit.submission("6vx01b") - - submission = await crosspost_parent.crosspost(subreddit) - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.title == "Test Title" - assert submission.crosspost_parent == "t3_6vx01b" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_crosspost__custom_title(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - crosspost_parent = await self.reddit.submission("6vx01b") - - submission = await crosspost_parent.crosspost(subreddit, title="my title") - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.title == "my title" - assert submission.crosspost_parent == "t3_6vx01b" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_crosspost__flair(self, _): + await Submission(reddit, "1eipl7").unhide(other_submissions=submissions) + + async def test_unhide_multiple_in_batches(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("popular") + submissions = await self.async_list(subreddit.hot(limit=100)) + assert len(submissions) == 100 + await submissions[0].unhide(other_submissions=submissions[1:]) + + async def test_unsave(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").unsave() + + async def test_upvote(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").upvote() + + async def test_crosspost(self, reddit): + reddit.read_only = False + subreddit = pytest.placeholders.test_subreddit + crosspost_parent = await reddit.submission("6vx01b") + + submission = await crosspost_parent.crosspost(subreddit) + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.title == "Test Title" + assert submission.crosspost_parent == "t3_6vx01b" + + async def test_crosspost__subreddit_object(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + crosspost_parent = await reddit.submission("6vx01b") + + submission = await crosspost_parent.crosspost(subreddit) + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.title == "Test Title" + assert submission.crosspost_parent == "t3_6vx01b" + + async def test_crosspost__custom_title(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + crosspost_parent = await reddit.submission("6vx01b") + + submission = await crosspost_parent.crosspost(subreddit, title="my title") + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.title == "my title" + assert submission.crosspost_parent == "t3_6vx01b" + + async def test_crosspost__flair(self, reddit): flair_id = "94f13282-e2e8-11e8-8291-0eae4e167256" flair_text = "AF" flair_class = "" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = pytest.placeholders.test_subreddit - crosspost_parent = await self.reddit.submission("6vx01b") + reddit.read_only = False + subreddit = pytest.placeholders.test_subreddit + crosspost_parent = await reddit.submission("6vx01b") - submission = await crosspost_parent.crosspost( - subreddit, flair_id=flair_id, flair_text=flair_text - ) - await submission.load() - assert submission.link_flair_css_class == flair_class - assert submission.link_flair_text == flair_text - assert submission.crosspost_parent == "t3_6vx01b" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_crosspost__nsfw(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = pytest.placeholders.test_subreddit - crosspost_parent = await self.reddit.submission("6vx01b") - - submission = await crosspost_parent.crosspost(subreddit, nsfw=True) - await submission.load() - assert submission.over_18 is True - assert submission.crosspost_parent == "t3_6vx01b" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_crosspost__spoiler(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = pytest.placeholders.test_subreddit - crosspost_parent = await self.reddit.submission("6vx01b") - - submission = await crosspost_parent.crosspost(subreddit, spoiler=True) - await submission.load() - assert submission.spoiler is True - assert submission.crosspost_parent == "t3_6vx01b" + submission = await crosspost_parent.crosspost( + subreddit, flair_id=flair_id, flair_text=flair_text + ) + await submission.load() + assert submission.link_flair_css_class == flair_class + assert submission.link_flair_text == flair_text + assert submission.crosspost_parent == "t3_6vx01b" + + async def test_crosspost__nsfw(self, reddit): + reddit.read_only = False + subreddit = pytest.placeholders.test_subreddit + crosspost_parent = await reddit.submission("6vx01b") + + submission = await crosspost_parent.crosspost(subreddit, nsfw=True) + await submission.load() + assert submission.over_18 is True + assert submission.crosspost_parent == "t3_6vx01b" + + async def test_crosspost__spoiler(self, reddit): + reddit.read_only = False + subreddit = pytest.placeholders.test_subreddit + crosspost_parent = await reddit.submission("6vx01b") + + submission = await crosspost_parent.crosspost(subreddit, spoiler=True) + await submission.load() + assert submission.spoiler is True + assert submission.crosspost_parent == "t3_6vx01b" class TestSubmissionFlair(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_choices(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = Submission(self.reddit, "hmkbt8") - expected = [ - { - "flair_css_class": "", - "flair_position": "right", - "flair_template_id": "94f13282-e2e8-11e8-8291-0eae4e167256", - "flair_text": "AF", - "flair_text_editable": True, - } - ] - choices = await submission.flair.choices() - assert expected == choices - - @mock.patch("asyncio.sleep", return_value=None) - async def test_select(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = Submission(self.reddit, "hmkbt8") - await submission.flair.select("94f13282-e2e8-11e8-8291-0eae4e167256") + async def test_choices(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + expected = [ + { + "flair_css_class": "", + "flair_position": "right", + "flair_template_id": "94f13282-e2e8-11e8-8291-0eae4e167256", + "flair_text": "AF", + "flair_text_editable": True, + } + ] + choices = await submission.flair.choices() + assert expected == choices + + async def test_select(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + await submission.flair.select("94f13282-e2e8-11e8-8291-0eae4e167256") class TestSubmissionModeration(IntegrationTest): - async def test_approve(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.approve() - - async def test_contest_mode(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.contest_mode() - - async def test_contest_mode__disable(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.contest_mode(state=False) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_flair(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.flair(text="AF") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_flair_template_id(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.flair( - text="submission flair", - flair_template_id="94f13282-e2e8-11e8-8291-0eae4e167256", - ) + async def test_approve(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.approve() + + async def test_contest_mode(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.contest_mode() + + async def test_contest_mode__disable(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.contest_mode(state=False) + + async def test_flair(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.flair(text="AF") + + async def test_flair_template_id(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.flair( + text="submission flair", + flair_template_id="94f13282-e2e8-11e8-8291-0eae4e167256", + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_flair_text_only(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.flair(text="submission flair") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_flair_text_and_css_class(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.flair( - text="submission flair", css_class="submission flair" - ) + async def test_flair_text_only(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.flair(text="submission flair") - @mock.patch("asyncio.sleep", return_value=None) - async def test_flair_all(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.flair( - text="submission flair", - css_class="submission flair", - flair_template_id="94f13282-e2e8-11e8-8291-0eae4e167256", - ) + async def test_flair_text_and_css_class(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.flair( + text="submission flair", css_class="submission flair" + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_flair_just_template_id(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.flair( - flair_template_id="94f13282-e2e8-11e8-8291-0eae4e167256" - ) + async def test_flair_all(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.flair( + text="submission flair", + css_class="submission flair", + flair_template_id="94f13282-e2e8-11e8-8291-0eae4e167256", + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_flair_just_css_class(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.flair( - css_class="submission flair" - ) + async def test_flair_just_template_id(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.flair( + flair_template_id="94f13282-e2e8-11e8-8291-0eae4e167256" + ) - async def test_distinguish(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hrzz2x").mod.distinguish() - - async def test_ignore_reports(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.ignore_reports() - - async def test_notes(self): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("uflrmv") - note = await submission.mod.create_note( - label="HELPFUL_USER", note="test note" - ) - notes = await self.async_list(submission.mod.author_notes()) - assert note in notes - assert notes[notes.index(note)].user == submission.author - - async def test_nsfw(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.nsfw() - - async def test_lock(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.lock() - - async def test_remove(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.remove(spam=True) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_remove_with_reason_id(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.remove( - reason_id="159bqhvme3rxe" - ) + async def test_flair_just_css_class(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.flair(css_class="submission flair") + + async def test_distinguish(self, reddit): + reddit.read_only = False + await Submission(reddit, "hrzz2x").mod.distinguish() + + async def test_ignore_reports(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.ignore_reports() + + async def test_notes(self, reddit): + reddit.read_only = False + submission = await reddit.submission("uflrmv") + note = await submission.mod.create_note(label="HELPFUL_USER", note="test note") + notes = await self.async_list(submission.mod.author_notes()) + assert note in notes + assert notes[notes.index(note)].user == submission.author + + async def test_nsfw(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.nsfw() + + async def test_lock(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.lock() + + async def test_remove(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.remove(spam=True) + + async def test_remove_with_reason_id(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.remove(reason_id="159bqhvme3rxe") + + async def test_add_removal_reason(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + await submission.mod.remove() + await submission.mod._add_removal_reason( + mod_note="Foobar", reason_id="159bqhvme3rxe" + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_removal_reason(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = Submission(self.reddit, "hmkbt8") - await submission.mod.remove() - await submission.mod._add_removal_reason( - mod_note="Foobar", reason_id="159bqhvme3rxe" - ) + async def test_add_removal_reason_without_id(self, reddit): + reddit.read_only = False + submission = Submission(reddit, "hmkbt8") + await submission.mod.remove() + await submission.mod._add_removal_reason(mod_note="Foobar") - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_removal_reason_without_id(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = Submission(self.reddit, "hmkbt8") + async def test_add_removal_reason_without_id_or_note(self, reddit): + reddit.read_only = False + with pytest.raises(ValueError) as excinfo: + submission = Submission(reddit, "hmkbt8") await submission.mod.remove() - await submission.mod._add_removal_reason(mod_note="Foobar") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_add_removal_reason_without_id_or_note(self, _): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(ValueError) as excinfo: - submission = Submission(self.reddit, "hmkbt8") - await submission.mod.remove() - await submission.mod._add_removal_reason() - assert excinfo.value.args[0].startswith("mod_note cannot be blank") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_send_removal_message(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("hmkutx") - mod = submission.mod - await mod.remove() - message = "message" - res = [ - await mod.send_removal_message( - message=type, title="title", type=message - ) - for type in ("public", "private", "private_exposed") - ] - assert isinstance(res[0], Comment) - assert res[0].parent_id == f"t3_{submission.id}" - assert res[0].stickied - assert res[0].body == message - assert res[1] is None - assert res[2] is None - - @mock.patch("asyncio.sleep", return_value=None) - async def test_set_original_content(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("hmkbt8") - assert not submission.is_original_content - await submission.mod.set_original_content() - submission = await self.reddit.submission("hmkbt8") - assert submission.is_original_content - - async def test_sfw(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.sfw() - - async def test_spoiler(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.spoiler() - - async def test_sticky(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.sticky() - - async def test_sticky__remove(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.sticky(state=False) - - async def test_sticky__top(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.sticky(bottom=False) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_sticky__ignore_conflicts(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.sticky(bottom=False) - await Submission(self.reddit, "hmkbt8").mod.sticky(bottom=False) - - async def test_suggested_sort(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.suggested_sort(sort="random") - - async def test_suggested_sort__clear(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.suggested_sort(sort="blank") - - async def test_undistinguish(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hrzz2x").mod.undistinguish() - - async def test_unignore_reports(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.unignore_reports() - - async def test_unlock(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.unlock() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unset_original_content(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("hmkbt8") - assert submission.is_original_content - await submission.mod.unset_original_content() - submission = await self.reddit.submission("hmkbt8") - assert not submission.is_original_content - - async def test_unspoiler(self): - self.reddit.read_only = False - with self.use_cassette(): - await Submission(self.reddit, "hmkbt8").mod.unspoiler() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_crowd_control_level(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("ol4d5w") - await submission.mod.update_crowd_control_level(2) - modlog = await self.async_next( - submission.subreddit.mod.log( - action="adjust_post_crowd_control_level", limit=1 - ) + await submission.mod._add_removal_reason() + assert excinfo.value.args[0].startswith("mod_note cannot be blank") + + async def test_send_removal_message(self, reddit): + reddit.read_only = False + submission = await reddit.submission("hmkutx") + mod = submission.mod + await mod.remove() + message = "message" + res = [ + await mod.send_removal_message(message=type, title="title", type=message) + for type in ("public", "private", "private_exposed") + ] + assert isinstance(res[0], Comment) + assert res[0].parent_id == f"t3_{submission.id}" + assert res[0].stickied + assert res[0].body == message + assert res[1] is None + assert res[2] is None + + async def test_set_original_content(self, reddit): + reddit.read_only = False + submission = await reddit.submission("hmkbt8") + assert not submission.is_original_content + await submission.mod.set_original_content() + submission = await reddit.submission("hmkbt8") + assert submission.is_original_content + + async def test_sfw(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.sfw() + + async def test_spoiler(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.spoiler() + + async def test_sticky(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.sticky() + + async def test_sticky__remove(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.sticky(state=False) + + async def test_sticky__top(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.sticky(bottom=False) + + async def test_sticky__ignore_conflicts(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.sticky(bottom=False) + await Submission(reddit, "hmkbt8").mod.sticky(bottom=False) + + async def test_suggested_sort(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.suggested_sort(sort="random") + + async def test_suggested_sort__clear(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.suggested_sort(sort="blank") + + async def test_undistinguish(self, reddit): + reddit.read_only = False + await Submission(reddit, "hrzz2x").mod.undistinguish() + + async def test_unignore_reports(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.unignore_reports() + + async def test_unlock(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.unlock() + + async def test_unset_original_content(self, reddit): + reddit.read_only = False + submission = await reddit.submission("hmkbt8") + assert submission.is_original_content + await submission.mod.unset_original_content() + submission = await reddit.submission("hmkbt8") + assert not submission.is_original_content + + async def test_unspoiler(self, reddit): + reddit.read_only = False + await Submission(reddit, "hmkbt8").mod.unspoiler() + + async def test_update_crowd_control_level(self, reddit): + reddit.read_only = False + submission = await reddit.submission("ol4d5w") + await submission.mod.update_crowd_control_level(2) + modlog = await self.async_next( + submission.subreddit.mod.log( + action="adjust_post_crowd_control_level", limit=1 ) - assert modlog.action == "adjust_post_crowd_control_level" - assert modlog.details == "medium" - assert modlog.target_fullname == submission.fullname + ) + assert modlog.action == "adjust_post_crowd_control_level" + assert modlog.details == "medium" + assert modlog.target_fullname == submission.fullname diff --git a/tests/integration/models/reddit/test_subreddit.py b/tests/integration/models/reddit/test_subreddit.py index 9a8baa7f1..ffbd5a7ea 100644 --- a/tests/integration/models/reddit/test_subreddit.py +++ b/tests/integration/models/reddit/test_subreddit.py @@ -2,7 +2,6 @@ import socket import sys from asyncio import TimeoutError -from os.path import abspath, dirname, join import pytest from aiohttp import ClientResponse @@ -43,11 +42,6 @@ from ... import IntegrationTest -def image_path(name): - test_dir = abspath(dirname(sys.modules[__name__].__file__)) - return abspath(join(test_dir, "..", "..", "files", name)) - - class WebsocketMock: POST_URL = "https://reddit.com/r//comments/{}/test_title/" @@ -74,394 +68,350 @@ async def receive_json(self): class TestSubreddit(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create(self, _): - self.reddit.read_only = False + async def test_create(self, reddit): + reddit.read_only = False new_name = pytest.placeholders.test_subreddit - with self.use_cassette(): - subreddit = await self.reddit.subreddit.create( - new_name, + subreddit = await reddit.subreddit.create( + new_name, + link_type="any", + subreddit_type="public", + title="Sub", + wikimode="disabled", + wiki_edit_age=0, + wiki_edit_karma=0, + comment_score_hide_mins=0, + ) + assert subreddit.display_name == new_name + assert subreddit.submission_type == "any" + + async def test_create__exists(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + await reddit.subreddit.create( + "redditdev", link_type="any", subreddit_type="public", - title="Sub", + title="redditdev", + wikimode="disabled", + ) + assert excinfo.value.items[0].error_type == "SUBREDDIT_EXISTS" + + async def test_create__invalid_parameter(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + # Supplying invalid setting for link_type + await reddit.subreddit.create( + "PRAW_iavynavff2", + link_type="abcd", + subreddit_type="public", + title="sub", + wikimode="disabled", + ) + assert excinfo.value.items[0].error_type == "INVALID_OPTION" + + async def test_create__missing_parameter(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + # Not supplying required field wiki_edit_age. + await reddit.subreddit.create( + "PRAW_iavynavff3", + link_type="any", + subreddit_type="public", + title=None, wikimode="disabled", - wiki_edit_age=0, wiki_edit_karma=0, comment_score_hide_mins=0, ) - assert subreddit.display_name == new_name - assert subreddit.submission_type == "any" + assert excinfo.value.items[0].error_type == "BAD_NUMBER" - async def test_create__exists(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await self.reddit.subreddit.create( - "redditdev", - link_type="any", - subreddit_type="public", - title="redditdev", - wikimode="disabled", - ) - assert excinfo.value.items[0].error_type == "SUBREDDIT_EXISTS" - - async def test_create__invalid_parameter(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - # Supplying invalid setting for link_type - await self.reddit.subreddit.create( - "PRAW_iavynavff2", - link_type="abcd", - subreddit_type="public", - title="sub", - wikimode="disabled", - ) - assert excinfo.value.items[0].error_type == "INVALID_OPTION" - - async def test_create__missing_parameter(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - # Not supplying required field wiki_edit_age. - await self.reddit.subreddit.create( - "PRAW_iavynavff3", - link_type="any", - subreddit_type="public", - title=None, - wikimode="disabled", - wiki_edit_karma=0, - comment_score_hide_mins=0, - ) - assert excinfo.value.items[0].error_type == "BAD_NUMBER" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_message(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.message( - subject="Test from Async PRAW", message="Test content" - ) + async def test_message(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.message(subject="Test from Async PRAW", message="Test content") - @mock.patch("asyncio.sleep", return_value=None) - async def test_post_requirements(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - data = await subreddit.post_requirements() - tags = [ - "domain_blacklist", - "body_restriction_policy", - "domain_whitelist", - "title_regexes", - "body_blacklisted_strings", - "body_required_strings", - "title_text_min_length", - "is_flair_required", - "title_text_max_length", - "body_regexes", - "link_repost_age", - "body_text_min_length", - "link_restriction_policy", - "body_text_max_length", - "title_required_strings", - "title_blacklisted_strings", - "guidelines_text", - "guidelines_display_policy", - ] - assert list(data) == tags - - async def test_random(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("pics") - submissions = [ - await subreddit.random(), - await subreddit.random(), - await subreddit.random(), - await subreddit.random(), - ] + async def test_post_requirements(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + data = await subreddit.post_requirements() + tags = [ + "domain_blacklist", + "body_restriction_policy", + "domain_whitelist", + "title_regexes", + "body_blacklisted_strings", + "body_required_strings", + "title_text_min_length", + "is_flair_required", + "title_text_max_length", + "body_regexes", + "link_repost_age", + "body_text_min_length", + "link_restriction_policy", + "body_text_max_length", + "title_required_strings", + "title_blacklisted_strings", + "guidelines_text", + "guidelines_display_policy", + ] + assert list(data) == tags + + async def test_random(self, reddit): + subreddit = await reddit.subreddit("pics") + submissions = [ + await subreddit.random(), + await subreddit.random(), + await subreddit.random(), + await subreddit.random(), + ] assert len(submissions) == len(set(submissions)) - async def test_random__returns_none(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("wallpapers") - assert await subreddit.random() is None - - async def test_sticky(self): - subreddit = await self.reddit.subreddit("pics") - with self.use_cassette(): - submission = await subreddit.sticky() - assert isinstance(submission, Submission) - - async def test_sticky__not_set(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - with pytest.raises(NotFound): - await subreddit.sticky(number=2) - - async def test_search(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("all") - async for item in subreddit.search( - "praw oauth search", syntax="cloudsearch", limit=None - ): - assert isinstance(item, Submission) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__flair(self, _): + async def test_random__returns_none(self, reddit): + subreddit = await reddit.subreddit("wallpapers") + assert await subreddit.random() is None + + async def test_sticky(self, reddit): + subreddit = await reddit.subreddit("pics") + submission = await subreddit.sticky() + assert isinstance(submission, Submission) + + async def test_sticky__not_set(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(NotFound): + await subreddit.sticky(number=2) + + async def test_search(self, reddit): + subreddit = await reddit.subreddit("all") + async for item in subreddit.search( + "praw oauth search", syntax="cloudsearch", limit=None + ): + assert isinstance(item, Submission) + + async def test_submit__flair(self, reddit): flair_id = "94f13282-e2e8-11e8-8291-0eae4e167256" flair_text = "AF" flair_class = "" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit( - "Test Title", - flair_id=flair_id, - flair_text=flair_text, - selftext="Test text.", - ) - await submission.load() - assert submission.link_flair_css_class == flair_class - assert submission.link_flair_text == flair_text - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__selftext(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit("Test Title", selftext="Test text.") - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.selftext == "Test text." - assert submission.title == "Test Title" + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit( + "Test Title", + flair_id=flair_id, + flair_text=flair_text, + selftext="Test text.", + ) + await submission.load() + assert submission.link_flair_css_class == flair_class + assert submission.link_flair_text == flair_text - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__selftext_blank(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit("Test Title", selftext="") - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.selftext == "" - assert submission.title == "Test Title" + async def test_submit__selftext(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit("Test Title", selftext="Test text.") + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.selftext == "Test text." + assert submission.title == "Test Title" + + async def test_submit__selftext_blank(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit("Test Title", selftext="") + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.selftext == "" + assert submission.title == "Test Title" + + async def test_submit__selftext_inline_media(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + gif = InlineGif(image_path("test.gif"), "optional caption") + image = InlineImage(image_path("test.png"), "optional caption") + video = InlineVideo(image_path("test.mp4"), "optional caption") + selftext = ( + "Text with a gif {gif1} an image {image1} and a video {video1} inline" + ) + media = {"gif1": gif, "image1": image, "video1": video} + submission = await subreddit.submit( + "title", inline_media=media, selftext=selftext + ) + await submission.load() + assert submission.author == pytest.placeholders.username + assert ( + submission.selftext == "Text with a gif\n\n[optional" + " caption](https://i.redd.it/s1i7ejqkgdc61.gif)\n\nan" + " image\n\n[optional" + " caption](https://preview.redd.it/95pza2skgdc61.png?width=128&format=png&auto=webp&s=c81d303645d9792afcdb9c47f0a6039708714274)\n\nand" + " a video\n\n[optional" + " caption](https://reddit.com/link/l0vyxc/video/qeg2azskgdc61/player)\n\ninline" + ) + assert submission.title == "title" - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__selftext_inline_media(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - gif = InlineGif(image_path("test.gif"), "optional caption") - image = InlineImage(image_path("test.png"), "optional caption") - video = InlineVideo(image_path("test.mp4"), "optional caption") - selftext = ( - "Text with a gif {gif1} an image {image1} and a video {video1} inline" - ) - media = {"gif1": gif, "image1": image, "video1": video} - submission = await subreddit.submit( - "title", inline_media=media, selftext=selftext - ) - await submission.load() - assert submission.author == pytest.placeholders.username - assert ( - submission.selftext == "Text with a gif\n\n[optional" - " caption](https://i.redd.it/s1i7ejqkgdc61.gif)\n\nan" - " image\n\n[optional" - " caption](https://preview.redd.it/95pza2skgdc61.png?width=128&format=png&auto=webp&s=c81d303645d9792afcdb9c47f0a6039708714274)\n\nand" - " a video\n\n[optional" - " caption](https://reddit.com/link/l0vyxc/video/qeg2azskgdc61/player)\n\ninline" - ) - assert submission.title == "title" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_live_chat(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit( - "Test Title", discussion_type="CHAT", selftext="" - ) - await submission.load() - assert submission.discussion_type == "CHAT" + async def test_submit_live_chat(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit( + "Test Title", discussion_type="CHAT", selftext="" + ) + await submission.load() + assert submission.discussion_type == "CHAT" - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__url(self, _): + async def test_submit__url(self, reddit): url = "https://asyncpraw.readthedocs.org/en/stable/" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit("Test Title", url=url) - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.url == url - assert submission.title == "Test Title" + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit("Test Title", url=url) + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.url == url + assert submission.title == "Test Title" + + async def test_submit__nsfw(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit( + "Test Title", nsfw=True, selftext="Test text." + ) + await submission.load() + assert submission.over_18 is True - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__nsfw(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit( - "Test Title", nsfw=True, selftext="Test text." - ) - await submission.load() - assert submission.over_18 is True - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__spoiler(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit( - "Test Title", selftext="Test text.", spoiler=True - ) - await submission.load() - assert submission.spoiler is True - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit__verify_invalid(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - self.reddit.validate_on_submit = True - with pytest.raises( - (RedditAPIException, BadRequest) - ): # waiting for prawcore fix - await subreddit.submit("dfgfdgfdgdf", url="https://www.google.com") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_poll(self, _): - options = ["Yes", "No", "3", "4", "5", "6"] - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit_poll( - "Test Poll", duration=6, options=options, selftext="Test poll text." - ) - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.selftext.startswith("Test poll text.") - assert submission.title == "Test Poll" - assert [str(option) for option in submission.poll_data.options] == options - assert submission.poll_data.voting_end_timestamp > submission.created_utc + async def test_submit__spoiler(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit( + "Test Title", selftext="Test text.", spoiler=True + ) + await submission.load() + assert submission.spoiler is True - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_poll__flair(self, _): + async def test_submit__verify_invalid(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + reddit.validate_on_submit = True + with pytest.raises( + (RedditAPIException, BadRequest) + ): # waiting for prawcore fix + await subreddit.submit("dfgfdgfdgdf", url="https://www.google.com") + + async def test_submit_poll(self, reddit): + options = ["Yes", "No", "3", "4", "5", "6"] + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit_poll( + "Test Poll", duration=6, options=options, selftext="Test poll text." + ) + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.selftext.startswith("Test poll text.") + assert submission.title == "Test Poll" + assert [str(option) for option in submission.poll_data.options] == options + assert submission.poll_data.voting_end_timestamp > submission.created_utc + + async def test_submit_poll__flair(self, reddit): flair_id = "94f13282-e2e8-11e8-8291-0eae4e167256" flair_text = "AF" flair_class = "" options = ["Yes", "No"] - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit_poll( - "Test Poll", - duration=6, - flair_id=flair_id, - flair_text=flair_text, - options=options, - selftext="Test poll text.", - ) - await submission.load() - assert submission.link_flair_text == flair_text - assert submission.link_flair_css_class == flair_class + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit_poll( + "Test Poll", + duration=6, + flair_id=flair_id, + flair_text=flair_text, + options=options, + selftext="Test poll text.", + ) + await submission.load() + assert submission.link_flair_text == flair_text + assert submission.link_flair_css_class == flair_class - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_poll__live_chat(self, _): + async def test_submit_poll__live_chat(self, reddit): options = ["Yes", "No"] - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission = await subreddit.submit_poll( - "Test Poll", - discussion_type="CHAT", - duration=2, - options=options, - selftext="", - ) - await submission.load() - assert submission.discussion_type == "CHAT" - - async def test_submit_gallery(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - images = [ - {"image_path": image_path("test.png")}, - {"image_path": image_path("test.jpg"), "caption": "test.jpg"}, - { - "image_path": image_path("test.gif"), - "outbound_url": "https://example.com", - }, - { - "image_path": image_path("test.png"), - "caption": "test.png", - "outbound_url": "https://example.com", - }, - ] - - submission = await subreddit.submit_gallery("Test Title", images) - assert submission.author == pytest.placeholders.username - assert submission.is_gallery - assert submission.title == "Test Title" - items = submission.gallery_data["items"] - assert isinstance(submission.gallery_data["items"], list) - for i, item in enumerate(items): - test_data = images[i] - test_data.pop("image_path") - item.pop("id") - item.pop("media_id") - assert item == test_data - - async def test_submit_gallery_disabled(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - images = [ - {"image_path": image_path("test.png")}, - {"image_path": image_path("test.jpg"), "caption": "test.jpg"}, - { - "image_path": image_path("test.gif"), - "outbound_url": "https://example.com", - }, - { - "image_path": image_path("test.png"), - "caption": "test.png", - "outbound_url": "https://example.com", - }, - ] - - with pytest.raises(RedditAPIException): - await subreddit.submit_gallery("Test Title", images) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_gallery__flair(self, _): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit_poll( + "Test Poll", + discussion_type="CHAT", + duration=2, + options=options, + selftext="", + ) + await submission.load() + assert submission.discussion_type == "CHAT" + + async def test_submit_gallery(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + images = [ + {"image_path": image_path("test.png")}, + {"image_path": image_path("test.jpg"), "caption": "test.jpg"}, + { + "image_path": image_path("test.gif"), + "outbound_url": "https://example.com", + }, + { + "image_path": image_path("test.png"), + "caption": "test.png", + "outbound_url": "https://example.com", + }, + ] + + submission = await subreddit.submit_gallery("Test Title", images) + assert submission.author == pytest.placeholders.username + assert submission.is_gallery + assert submission.title == "Test Title" + items = submission.gallery_data["items"] + assert isinstance(submission.gallery_data["items"], list) + for i, item in enumerate(items): + test_data = images[i] + test_data.pop("image_path") + item.pop("id") + item.pop("media_id") + assert item == test_data + + async def test_submit_gallery_disabled(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + images = [ + {"image_path": image_path("test.png")}, + {"image_path": image_path("test.jpg"), "caption": "test.jpg"}, + { + "image_path": image_path("test.gif"), + "outbound_url": "https://example.com", + }, + { + "image_path": image_path("test.png"), + "caption": "test.png", + "outbound_url": "https://example.com", + }, + ] + + with pytest.raises(RedditAPIException): + await subreddit.submit_gallery("Test Title", images) + + async def test_submit_gallery__flair(self, reddit, image_path): flair_id = "6fc213da-cae7-11ea-9274-0e2407099e45" flair_text = "test" flair_class = "test-flair-class" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - images = [ - {"image_path": image_path("test.png")}, - {"image_path": image_path("test.jpg"), "caption": "test.jpg"}, - { - "image_path": image_path("test.gif"), - "outbound_url": "https://example.com", - }, - { - "image_path": image_path("test.png"), - "caption": "test.png", - "outbound_url": "https://example.com", - }, - ] - submission = await subreddit.submit_gallery( - "Test Title", images, flair_id=flair_id, flair_text=flair_text - ) - assert submission.link_flair_css_class == flair_class - assert submission.link_flair_text == flair_text + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + images = [ + {"image_path": image_path("test.png")}, + {"image_path": image_path("test.jpg"), "caption": "test.jpg"}, + { + "image_path": image_path("test.gif"), + "outbound_url": "https://example.com", + }, + { + "image_path": image_path("test.png"), + "caption": "test.png", + "outbound_url": "https://example.com", + }, + ] + submission = await subreddit.submit_gallery( + "Test Title", images, flair_id=flair_id, flair_text=flair_text + ) + assert submission.link_flair_css_class == flair_class + assert submission.link_flair_text == flair_text @mock.patch( "aiohttp.client.ClientSession.ws_connect", @@ -469,23 +419,18 @@ async def test_submit_gallery__flair(self, _): "l6eqw6", "l6er3r", "l6erfu" # update with cassette ), ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_image(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for i, file_name in enumerate(("test.png", "test.jpg", "test.gif")): - image = image_path(file_name) - submission = await subreddit.submit_image(f"Test Title {i}", image) - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.is_reddit_media_domain - assert submission.title == f"Test Title {i}" - - @pytest.mark.usefixtures("tmp_path") - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_image__large(self, _): - reddit = self.reddit + async def test_submit_image(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for i, file_name in enumerate(("test.png", "test.jpg", "test.gif")): + image = image_path(file_name) + submission = await subreddit.submit_image(f"Test Title {i}", image) + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.is_reddit_media_domain + assert submission.title == f"Test Title {i}" + + async def test_submit_image__large(self, reddit, tmp_path): reddit.read_only = False mock_data = ( '' @@ -512,553 +457,475 @@ async def patch_request(url, *args, **kwargs): reddit._core._requestor._http.post = patch_request fake_png = PNG_HEADER + b"\x1a" * 10 # Normally 1024 ** 2 * 20 (20 MB) - with open(self.tmp_path.joinpath("fake_img.png"), "wb") as tempfile: + with open(tmp_path.joinpath("fake_img.png"), "wb") as tempfile: tempfile.write(fake_png) - with self.use_cassette(): - with pytest.raises(TooLargeMediaException): - subreddit = await reddit.subreddit("test") - await subreddit.submit_image("test", tempfile.name) + with pytest.raises(TooLargeMediaException): + subreddit = await reddit.subreddit("test") + await subreddit.submit_image("test", tempfile.name) - @mock.patch("asyncio.sleep", return_value=None) + @pytest.mark.cassette_name("TestSubreddit.test_submit_image") @mock.patch("aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock()) - async def test_submit_image__bad_websocket(self, _, __): - self.reddit.read_only = False - with self.use_cassette("TestSubreddit.test_submit_image"): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.png", "test.jpg"): - image = image_path(file_name) - with pytest.raises(ClientException): - await subreddit.submit_image("Test Title", image) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_image__bad_filetype(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.mov", "test.mp4"): - image = image_path(file_name) - with pytest.raises(ClientException): - await subreddit.submit_image("Test Title", image) - - @mock.patch("asyncio.sleep", return_value=None) + async def test_submit_image__bad_websocket(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.png", "test.jpg"): + image = image_path(file_name) + with pytest.raises(ClientException): + await subreddit.submit_image("Test Title", image) + + async def test_submit_image__bad_filetype(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.mov", "test.mp4"): + image = image_path(file_name) + with pytest.raises(ClientException): + await subreddit.submit_image("Test Title", image) + @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6evpd") ) # update with cassette - async def test_submit_image__flair(self, _, __): + async def test_submit_image__flair(self, _, reddit, image_path): flair_id = "6fc213da-cae7-11ea-9274-0e2407099e45" flair_text = "Test flair text" flair_class = "" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - image = image_path("test.jpg") - submission = await subreddit.submit_image( - "Test Title", image, flair_id=flair_id, flair_text=flair_text - ) - await submission.load() - assert submission.link_flair_css_class == flair_class - assert submission.link_flair_text == flair_text + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + image = image_path("test.jpg") + submission = await subreddit.submit_image( + "Test Title", image, flair_id=flair_id, flair_text=flair_text + ) + await submission.load() + assert submission.link_flair_css_class == flair_class + assert submission.link_flair_text == flair_text - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6ey7j") ) # update with cassette - async def test_submit_image_chat(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - image = image_path("test.jpg") - submission = await subreddit.submit_image( - "Test Title", image, discussion_type="CHAT" + async def test_submit_image_chat(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + image = image_path("test.jpg") + submission = await subreddit.submit_image( + "Test Title", image, discussion_type="CHAT" + ) + await submission.load() + assert submission.discussion_type == "CHAT" + + async def test_submit_image_verify_invalid(self, reddit, image_path): + reddit.read_only = False + reddit.validate_on_submit = True + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + image = image_path("test.jpg") + with pytest.raises( + (RedditAPIException, BadRequest) + ): # waiting for prawcore fix + await subreddit.submit_image( + "gdfgfdgdgdgfgfdgdfgfdgfdg", image, without_websockets=True ) - await submission.load() - assert submission.discussion_type == "CHAT" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_image_verify_invalid(self, _): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - image = image_path("test.jpg") - with pytest.raises( - (RedditAPIException, BadRequest) - ): # waiting for prawcore fix - await subreddit.submit_image( - "gdfgfdgdgdgfgfdgdfgfdgfdg", image, without_websockets=True - ) - - @mock.patch("asyncio.sleep", return_value=None) + @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=BlockingIOError ) # happens with timeout=0 - async def test_submit_image__timeout_1(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - image = image_path("test.jpg") - with pytest.raises(WebSocketException): - await subreddit.submit_image("Test Title", image) + async def test_submit_image__timeout_1(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + image = image_path("test.jpg") + with pytest.raises(WebSocketException): + await subreddit.submit_image("Test Title", image) - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=socket.timeout # happens with timeout=0.00001 ) - async def test_submit_image__timeout_2(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - image = image_path("test.jpg") - with pytest.raises(WebSocketException): - await subreddit.submit_image("Test Title", image) + async def test_submit_image__timeout_2(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + image = image_path("test.jpg") + with pytest.raises(WebSocketException): + await subreddit.submit_image("Test Title", image) - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=TimeoutError, # could happen but Async PRAW should handle it ) - async def test_submit_image__timeout_3(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - image = image_path("test.jpg") - with pytest.raises(WebSocketException): - await subreddit.submit_image("Test Title", image) + async def test_submit_image__timeout_3(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + image = image_path("test.jpg") + with pytest.raises(WebSocketException): + await subreddit.submit_image("Test Title", image) - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=WebSocketError(None, None), # could happen but Async PRAW should handle it ) - async def test_submit_image__timeout_4(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - image = image_path("test.jpg") - with pytest.raises(WebSocketException): - await subreddit.submit_image("Test Title", image) + async def test_submit_image__timeout_4(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + image = image_path("test.jpg") + with pytest.raises(WebSocketException): + await subreddit.submit_image("Test Title", image) + + async def test_submit_image__without_websockets(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.png", "test.jpg", "test.gif"): + image = image_path(file_name) + submission = await subreddit.submit_image( + "Test Title", image, without_websockets=True + ) + assert submission is None - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_image__without_websockets(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.png", "test.jpg", "test.gif"): - image = image_path(file_name) - submission = await subreddit.submit_image( - "Test Title", image, without_websockets=True - ) - assert submission is None - - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6g58s", "l6g5al"), # update with cassette ) - async def test_submit_video(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for i, file_name in enumerate(("test.mov", "test.mp4")): - video = image_path(file_name) - submission = await subreddit.submit_video(f"Test Title {i}", video) - await submission.load() - assert submission.author == pytest.placeholders.username - # assert submission.is_reddit_media_domain - # for some reason returns false - assert submission.title == f"Test Title {i}" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_video__bad_filetype(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.jpg", "test.png", "test.gif"): - video = image_path(file_name) - with pytest.raises(ClientException): - await subreddit.submit_video("Test Title", video) - - @mock.patch("asyncio.sleep", return_value=None) + async def test_submit_video(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for i, file_name in enumerate(("test.mov", "test.mp4")): + video = image_path(file_name) + submission = await subreddit.submit_video(f"Test Title {i}", video) + await submission.load() + assert submission.author == pytest.placeholders.username + # assert submission.is_reddit_media_domain + # for some reason returns false + assert submission.title == f"Test Title {i}" + + async def test_submit_video__bad_filetype(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.jpg", "test.png", "test.gif"): + video = image_path(file_name) + with pytest.raises(ClientException): + await subreddit.submit_video("Test Title", video) + + @pytest.mark.cassette_name("TestSubreddit.test_submit_video") @mock.patch("aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock()) - async def test_submit_video__bad_websocket(self, _, __): - self.reddit.read_only = False - with self.use_cassette("TestSubreddit.test_submit_video"): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.mov", "test.mp4"): - video = image_path(file_name) - with pytest.raises(ClientException): - await subreddit.submit_video("Test Title", video) - - @mock.patch("asyncio.sleep", return_value=None) + async def test_submit_video__bad_websocket(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.mov", "test.mp4"): + video = image_path(file_name) + with pytest.raises(ClientException): + await subreddit.submit_video("Test Title", video) + @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6g771") ) # update with cassette - async def test_submit_video__flair(self, _, __): + async def test_submit_video__flair(self, _, reddit, image_path): flair_id = "6fc213da-cae7-11ea-9274-0e2407099e45" flair_text = "Test flair text" flair_class = "" - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - video = image_path("test.mov") - submission = await subreddit.submit_video( - "Test Title", video, flair_id=flair_id, flair_text=flair_text - ) - assert submission.link_flair_css_class == flair_class - assert submission.link_flair_text == flair_text + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + video = image_path("test.mov") + submission = await subreddit.submit_video( + "Test Title", video, flair_id=flair_id, flair_text=flair_text + ) + assert submission.link_flair_css_class == flair_class + assert submission.link_flair_text == flair_text - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6gocy") ) # update with cassette - async def test_submit_video_chat(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - video = image_path("test.mov") - submission = await subreddit.submit_video( - "Test Title", video, discussion_type="CHAT" + async def test_submit_video_chat(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + video = image_path("test.mov") + submission = await subreddit.submit_video( + "Test Title", video, discussion_type="CHAT" + ) + await submission.load() + assert submission.discussion_type == "CHAT" + + async def test_submit_video_verify_invalid(self, reddit, image_path): + reddit.read_only = False + reddit.validate_on_submit = True + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + video = image_path("test.mov") + with pytest.raises( + (RedditAPIException, BadRequest) + ): # waiting for prawcore fix + await subreddit.submit_video( + "gdfgfdgdgdgfgfdgdfgfdgfdg", video, without_websockets=True ) - await submission.load() - assert submission.discussion_type == "CHAT" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_video_verify_invalid(self, _): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - video = image_path("test.mov") - with pytest.raises( - (RedditAPIException, BadRequest) - ): # waiting for prawcore fix - await subreddit.submit_video( - "gdfgfdgdgdgfgfdgdfgfdgfdg", video, without_websockets=True - ) - - @mock.patch("asyncio.sleep", return_value=None) + @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6gvvi", "l6gvx7"), # update with cassette ) - async def test_submit_video__thumbnail(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for video_name, thumb_name in ( - ("test.mov", "test.jpg"), - ("test.mp4", "test.png"), - ): - video = image_path(video_name) - thumb = image_path(thumb_name) - submission = await subreddit.submit_video( - "Test Title", video, thumbnail_path=thumb - ) - await submission.load() - assert submission.author == pytest.placeholders.username - assert submission.is_video - assert submission.title == "Test Title" - - @mock.patch("asyncio.sleep", return_value=None) + async def test_submit_video__thumbnail(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for video_name, thumb_name in ( + ("test.mov", "test.jpg"), + ("test.mp4", "test.png"), + ): + video = image_path(video_name) + thumb = image_path(thumb_name) + submission = await subreddit.submit_video( + "Test Title", video, thumbnail_path=thumb + ) + await submission.load() + assert submission.author == pytest.placeholders.username + assert submission.is_video + assert submission.title == "Test Title" + @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=BlockingIOError ) # happens with timeout=0 - async def test_submit_video__timeout_1(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - video = image_path("test.mov") - with pytest.raises(WebSocketException): - await subreddit.submit_video("Test Title", video) + async def test_submit_video__timeout_1(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + video = image_path("test.mov") + with pytest.raises(WebSocketException): + await subreddit.submit_video("Test Title", video) - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=socket.timeout # happens with timeout=0.00001 ) - async def test_submit_video__timeout_2(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - video = image_path("test.mov") - with pytest.raises(WebSocketException): - await subreddit.submit_video("Test Title", video) + async def test_submit_video__timeout_2(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + video = image_path("test.mov") + with pytest.raises(WebSocketException): + await subreddit.submit_video("Test Title", video) - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=TimeoutError, # could happen but Async PRAW should handle it ) - async def test_submit_video__timeout_3(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - video = image_path("test.mov") - with pytest.raises(WebSocketException): - await subreddit.submit_video("Test Title", video) + async def test_submit_video__timeout_3(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + video = image_path("test.mov") + with pytest.raises(WebSocketException): + await subreddit.submit_video("Test Title", video) - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", side_effect=WebSocketError(None, None), # could happen but Async PRAW should handle it ) - async def test_submit_video__timeout_4(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - video = image_path("test.mov") - with pytest.raises(WebSocketException): - await subreddit.submit_video("Test Title", video) + async def test_submit_video__timeout_4(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + video = image_path("test.mov") + with pytest.raises(WebSocketException): + await subreddit.submit_video("Test Title", video) - @mock.patch("asyncio.sleep", return_value=None) @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6gtwa", "l6gty1"), # update with cassette ) - async def test_submit_video__videogif(self, _, __): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.mov", "test.mp4"): - video = image_path(file_name) - submission = await subreddit.submit_video( - "Test Title", video, videogif=True - ) - assert submission.author == pytest.placeholders.username - assert submission.is_video - assert submission.title == "Test Title" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submit_video__without_websockets(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.mov", "test.mp4"): - video = image_path(file_name) - submission = await subreddit.submit_video( - "Test Title", video, without_websockets=True - ) - assert submission is None - - async def test_subscribe(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.subscribe() - - async def test_subscribe__multiple(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.subscribe( - other_subreddits=["redditdev", await self.reddit.subreddit("iama")] + async def test_submit_video__videogif(self, _, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.mov", "test.mp4"): + video = image_path(file_name) + submission = await subreddit.submit_video( + "Test Title", video, videogif=True ) + assert submission.author == pytest.placeholders.username + assert submission.is_video + assert submission.title == "Test Title" - async def test_traffic(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - traffic = await subreddit.traffic() - assert isinstance(traffic, dict) - - async def test_traffic__not_public(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("announcements") - with self.use_cassette(): - with pytest.raises(NotFound): - await subreddit.traffic() - - async def test_unsubscribe(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.unsubscribe() - - async def test_unsubscribe__multiple(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.unsubscribe( - other_subreddits=["redditdev", await self.reddit.subreddit("iama")] + async def test_submit_video__without_websockets(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.mov", "test.mp4"): + video = image_path(file_name) + submission = await subreddit.submit_video( + "Test Title", video, without_websockets=True ) + assert submission is None + + async def test_subscribe(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.subscribe() + + async def test_subscribe__multiple(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.subscribe( + other_subreddits=["redditdev", await reddit.subreddit("iama")] + ) + + async def test_traffic(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + traffic = await subreddit.traffic() + assert isinstance(traffic, dict) + + async def test_traffic__not_public(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("announcements") + with pytest.raises(NotFound): + await subreddit.traffic() + + async def test_unsubscribe(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.unsubscribe() + + async def test_unsubscribe__multiple(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.unsubscribe( + other_subreddits=["redditdev", await reddit.subreddit("iama")] + ) class TestSubredditFilters(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test__aiter__all(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("all") - filters = await self.async_list(subreddit.filters) + async def test__aiter__all(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("all") + filters = await self.async_list(subreddit.filters) assert len(filters) > 0 assert all(isinstance(x, Subreddit) for x in filters) - @mock.patch("asyncio.sleep", return_value=None) - async def test__aiter__mod(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - filters = await self.async_list(subreddit.filters) + async def test__aiter__mod(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + filters = await self.async_list(subreddit.filters) assert len(filters) > 0 assert all(isinstance(x, Subreddit) for x in filters) - @mock.patch("asyncio.sleep", return_value=None) - async def test_add(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("all") - await subreddit.filters.add("redditdev") + async def test_add(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("all") + await subreddit.filters.add("redditdev") - @mock.patch("asyncio.sleep", return_value=None) - async def test_add__subreddit_model(self, _): - self.reddit.read_only = False - with self.use_cassette("TestSubredditFilters.test_add"): - subreddit = await self.reddit.subreddit("all") - await subreddit.filters.add(await self.reddit.subreddit("redditdev")) + @pytest.mark.cassette_name("TestSubredditFilters.test_add") + async def test_add__subreddit_model(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("all") + await subreddit.filters.add(await reddit.subreddit("redditdev")) # @mock.patch("asyncio.sleep", return_value=None) # FIXME: no longer raises not found; same with praw - # async def test_add__non_special(self, _): - # self.reddit.read_only = False + # async def test_add__non_special(self, reddit): + # reddit.read_only = False # with self.use_cassette(): # with pytest.raises(NotFound): - # subreddit = await self.reddit.subreddit("redditdev") + # subreddit = await reddit.subreddit("redditdev") # await subreddit.filters.add("redditdev") - @mock.patch("asyncio.sleep", return_value=None) - async def test_remove(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("mod") - await subreddit.filters.remove("redditdev") + async def test_remove(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + await subreddit.filters.remove("redditdev") - @mock.patch("asyncio.sleep", return_value=None) - async def test_remove__subreddit_model(self, _): - self.reddit.read_only = False - with self.use_cassette("TestSubredditFilters.test_remove"): - subreddit = await self.reddit.subreddit("mod") - await subreddit.filters.remove(await self.reddit.subreddit("redditdev")) + @pytest.mark.cassette_name("TestSubredditFilters.test_remove") + async def test_remove__subreddit_model(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + await subreddit.filters.remove(await reddit.subreddit("redditdev")) # @mock.patch("asyncio.sleep", return_value=None) # FIXME: no longer rases not found; same with praw - # async def test_remove__non_special(self, _): - # self.reddit.read_only = False + # async def test_remove__non_special(self, reddit): + # reddit.read_only = False # with self.use_cassette(): # with pytest.raises(NotFound): - # subreddit = await self.reddit.subreddit("redditdev") + # subreddit = await reddit.subreddit("redditdev") # await subreddit.filters.remove("redditdev") class TestSubredditFlair(IntegrationTest): REDDITOR = pytest.placeholders.username - async def test__call(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - mapping = subreddit.flair() - assert len(await self.async_list(mapping)) > 0 - assert all([isinstance(x["user"], Redditor) async for x in mapping]) - - async def test__call__user_filter(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - mapping = subreddit.flair(redditor=self.REDDITOR) - assert len(await self.async_list(mapping)) == 1 - - async def test_configure(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.configure( - position=None, - self_assign=True, - link_position=None, - link_self_assign=True, - ) + async def test__call(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + mapping = subreddit.flair() + assert len(await self.async_list(mapping)) > 0 + assert all([isinstance(x["user"], Redditor) async for x in mapping]) - async def test_configure__defaults(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.configure() - - async def test_delete(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.delete(pytest.placeholders.username) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete_all(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - response = await subreddit.flair.delete_all() - assert len(response) == 5 - assert all("removed" in x["status"] for x in response) - - async def test_set__flair_id(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - flair = "c99ff6d0-c559-11ea-b93b-0ef0f80279f1" - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.set( - redditor, flair_template_id=flair, text="redditor flair" - ) + async def test__call__user_filter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + mapping = subreddit.flair(redditor=self.REDDITOR) + assert len(await self.async_list(mapping)) == 1 - async def test_set__flair_id_default_text(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - flair = "c99ff6d0-c559-11ea-b93b-0ef0f80279f1" - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.set(redditor, flair_template_id=flair) - - async def test_set__redditor(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.set(redditor, text="redditor flair") - - async def test_set__redditor_css_only(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.set( - pytest.placeholders.username, css_class="some class" - ) + async def test_configure(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.configure( + position=None, + self_assign=True, + link_position=None, + link_self_assign=True, + ) - async def test_set__redditor_string(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.set( - pytest.placeholders.username, css_class="some class", text="new flair" - ) + async def test_configure__defaults(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.configure() - async def test_update(self): - self.reddit.read_only = False - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - flair_list = [ - redditor, - "spez", - {"user": "bsimpson"}, - {"user": "spladug", "flair_text": "", "flair_css_class": ""}, - ] - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - response = await subreddit.flair.update( - flair_list, css_class="async default" - ) + async def test_delete(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.delete(pytest.placeholders.username) + + async def test_delete_all(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.flair.delete_all() + assert len(response) == 5 + assert all("removed" in x["status"] for x in response) + + async def test_set__flair_id(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + flair = "c99ff6d0-c559-11ea-b93b-0ef0f80279f1" + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.set( + redditor, flair_template_id=flair, text="redditor flair" + ) + + async def test_set__flair_id_default_text(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + flair = "c99ff6d0-c559-11ea-b93b-0ef0f80279f1" + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.set(redditor, flair_template_id=flair) + + async def test_set__redditor(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.set(redditor, text="redditor flair") + + async def test_set__redditor_css_only(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.set(pytest.placeholders.username, css_class="some class") + + async def test_set__redditor_string(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.set( + pytest.placeholders.username, css_class="some class", text="new flair" + ) + + async def test_update(self, reddit): + reddit.read_only = False + redditor = await reddit.redditor(pytest.placeholders.username) + flair_list = [ + redditor, + "spez", + {"user": "bsimpson"}, + {"user": "spladug", "flair_text": "", "flair_css_class": ""}, + ] + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.flair.update(flair_list, css_class="async default") assert all(x["ok"] for x in response) assert not any(x["errors"] for x in response) assert not any(x["warnings"] for x in response) @@ -1067,106 +934,75 @@ async def test_update(self): for i, name in enumerate([str(redditor), "spez", "bsimpson", "spladug"]): assert name in response[i]["status"] - async def test_update__comma_in_text(self): - self.reddit.read_only = False + async def test_update__comma_in_text(self, reddit): + reddit.read_only = False flair_list = [ {"user": "bsimpson"}, {"user": "spladug", "flair_text": "a,b"}, ] - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - response = await subreddit.flair.update( - flair_list, css_class="async default" - ) - assert all(x["ok"] for x in response) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_quotes(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - redditor = await self.reddit.user.me() - response = await subreddit.flair.update( - [redditor], css_class="testing", text='"testing"' - ) - assert all(x["ok"] for x in response) - flair = await self.async_next(subreddit.flair(redditor)) - assert flair["flair_text"] == '"testing"' - assert flair["flair_css_class"] == "testing" + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.flair.update(flair_list, css_class="async default") + assert all(x["ok"] for x in response) + + async def test_update_quotes(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + redditor = await reddit.user.me() + response = await subreddit.flair.update( + [redditor], css_class="testing", text='"testing"' + ) + assert all(x["ok"] for x in response) + flair = await self.async_next(subreddit.flair(redditor)) + assert flair["flair_text"] == '"testing"' + assert flair["flair_css_class"] == "testing" class TestSubredditFlairTemplates(IntegrationTest): - async def test__aiter(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - templates = await self.async_list(subreddit.flair.templates) + async def test__aiter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + templates = await self.async_list(subreddit.flair.templates) assert len(templates) == 1 for flair_template in templates: assert flair_template["id"] - async def test_add(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.templates.add( - "PRAW", background_color="#ABCDEF", css_class="myCSS" - ) + async def test_add(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.templates.add( + "PRAW", background_color="#ABCDEF", css_class="myCSS" + ) - async def test_clear(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.templates.clear() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) - await subreddit.flair.templates.delete(template["id"]) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) - await subreddit.flair.templates.update( - template["id"], - background_color="#00FFFF", - css_class="myCSS", - text="PRAW updated", - text_color="dark", - ) + async def test_clear(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.templates.clear() + + async def test_delete(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.delete(template["id"]) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_invalid(self, _): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(InvalidFlairTemplateID): - subreddit = await self.reddit.subreddit( - pytest.placeholders.test_subreddit - ) - await subreddit.flair.templates.update( - "fake id", - background_color="#00FFFF", - css_class="myCSS", - fetch=True, - text="PRAW updated", - text_color="dark", - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_fetch(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) + async def test_update(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.update( + template["id"], + background_color="#00FFFF", + css_class="myCSS", + text="PRAW updated", + text_color="dark", + ) + + async def test_update_invalid(self, reddit): + reddit.read_only = False + with pytest.raises(InvalidFlairTemplateID): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) await subreddit.flair.templates.update( - template["id"], + "fake id", background_color="#00FFFF", css_class="myCSS", fetch=True, @@ -1174,89 +1010,91 @@ async def test_update_fetch(self, _): text_color="dark", ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_fetch_no_css_class(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) - await subreddit.flair.templates.update( - template["id"], - background_color="#00FFFF", - fetch=True, - text="PRAW updated", - text_color="dark", - ) + async def test_update_fetch(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.update( + template["id"], + background_color="#00FFFF", + css_class="myCSS", + fetch=True, + text="PRAW updated", + text_color="dark", + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_fetch_no_text(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) - await subreddit.flair.templates.update( - template["id"], - background_color="#00FFFF", - css_class="myCSS", - fetch=True, - text_color="dark", - ) + async def test_update_fetch_no_css_class(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.update( + template["id"], + background_color="#00FFFF", + fetch=True, + text="PRAW updated", + text_color="dark", + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_fetch_no_text_or_css_class(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) - await subreddit.flair.templates.update( - template["id"], - background_color="#00FFFF", - fetch=True, - text_color="dark", - ) + async def test_update_fetch_no_text(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.update( + template["id"], + background_color="#00FFFF", + css_class="myCSS", + fetch=True, + text_color="dark", + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_fetch_only(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) - await subreddit.flair.templates.update(template["id"], fetch=True) - newtemplate = list( - filter( - lambda _template: _template["id"] == template["id"], - [flair async for flair in subreddit.flair.templates], - ) - )[0] - assert newtemplate == template - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update_false(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - template = next(iter(await self.async_list(subreddit.flair.templates))) - await subreddit.flair.templates.update( - template["id"], fetch=True, text_editable=True + async def test_update_fetch_no_text_or_css_class(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.update( + template["id"], + background_color="#00FFFF", + fetch=True, + text_color="dark", + ) + + async def test_update_fetch_only(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.update(template["id"], fetch=True) + newtemplate = list( + filter( + lambda _template: _template["id"] == template["id"], + [flair async for flair in subreddit.flair.templates], ) - await subreddit.flair.templates.update( - template["id"], fetch=True, text_editable=False + )[0] + assert newtemplate == template + + async def test_update_false(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + template = next(iter(await self.async_list(subreddit.flair.templates))) + await subreddit.flair.templates.update( + template["id"], fetch=True, text_editable=True + ) + await subreddit.flair.templates.update( + template["id"], fetch=True, text_editable=False + ) + newtemplate = list( + filter( + lambda _template: _template["id"] == template["id"], + [flair async for flair in subreddit.flair.templates], ) - newtemplate = list( - filter( - lambda _template: _template["id"] == template["id"], - [flair async for flair in subreddit.flair.templates], - ) - )[0] - assert newtemplate["text_editable"] is False + )[0] + assert newtemplate["text_editable"] is False class TestSubredditLinkFlairTemplates(IntegrationTest): - async def test__aiter(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - templates = await self.async_list(subreddit.flair.link_templates) + async def test__aiter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + templates = await self.async_list(subreddit.flair.link_templates) assert len(templates) == 2 for template in templates: @@ -1264,27 +1102,24 @@ async def test__aiter(self): assert isinstance(template["richtext"], list) assert all(isinstance(item, dict) for item in template["richtext"]) - async def test_add(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.link_templates.add( - "PRAW", css_class="myCSS", text_color="light" - ) + async def test_add(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.link_templates.add( + "PRAW", css_class="myCSS", text_color="light" + ) - async def test_clear(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - await subreddit.flair.link_templates.clear() - - async def test_user_selectable(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - templates = await self.async_list( - subreddit.flair.link_templates.user_selectable() - ) + async def test_clear(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.flair.link_templates.clear() + + async def test_user_selectable(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + templates = await self.async_list( + subreddit.flair.link_templates.user_selectable() + ) assert len(templates) >= 2 for template in templates: @@ -1293,394 +1128,341 @@ async def test_user_selectable(self): class TestSubredditListings(IntegrationTest): - async def test_comments(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - comments = await self.async_list(subreddit.comments()) + async def test_comments(self, reddit): + subreddit = await reddit.subreddit("askreddit") + comments = await self.async_list(subreddit.comments()) assert len(comments) == 100 - async def test_controversial(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - submissions = await self.async_list(subreddit.controversial()) + async def test_controversial(self, reddit): + subreddit = await reddit.subreddit("askreddit") + submissions = await self.async_list(subreddit.controversial()) assert len(submissions) == 100 - async def test_gilded(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - submissions = await self.async_list(subreddit.gilded()) + async def test_gilded(self, reddit): + subreddit = await reddit.subreddit("askreddit") + submissions = await self.async_list(subreddit.gilded()) assert len(submissions) >= 50 - async def test_hot(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - submissions = await self.async_list(subreddit.hot()) + async def test_hot(self, reddit): + subreddit = await reddit.subreddit("askreddit") + submissions = await self.async_list(subreddit.hot()) assert len(submissions) == 100 - async def test_new(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - submissions = await self.async_list(subreddit.new()) + async def test_new(self, reddit): + subreddit = await reddit.subreddit("askreddit") + submissions = await self.async_list(subreddit.new()) assert len(submissions) == 100 - async def test_random_rising(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - submissions = await self.async_list(subreddit.random_rising()) + async def test_random_rising(self, reddit): + subreddit = await reddit.subreddit("askreddit") + submissions = await self.async_list(subreddit.random_rising()) assert len(submissions) == 91 - async def test_rising(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - submissions = await self.async_list(subreddit.rising()) + async def test_rising(self, reddit): + subreddit = await reddit.subreddit("askreddit") + submissions = await self.async_list(subreddit.rising()) assert len(submissions) == 100 - async def test_top(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - submissions = await self.async_list(subreddit.top()) + async def test_top(self, reddit): + subreddit = await reddit.subreddit("askreddit") + submissions = await self.async_list(subreddit.top()) assert len(submissions) == 100 class TestSubredditModeration(IntegrationTest): - async def test_accept_invite__no_invite(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - subreddit = await self.reddit.subreddit( - pytest.placeholders.test_subreddit - ) - await subreddit.mod.accept_invite() - assert excinfo.value.items[0].error_type == "NO_INVITE_FOUND" - - async def test_edited(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.edited(): - assert isinstance(item, (Comment, Submission)) - count += 1 - assert count == 100 - - async def test_edited__only_comments(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.edited(only="comments"): - assert isinstance(item, Comment) - count += 1 - assert count == 100 - - async def test_edited__only_submissions(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.edited(only="submissions"): - assert isinstance(item, Submission) - count += 1 - assert count > 0 - - async def test_inbox(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit("all") - async for item in subreddit.mod.inbox(): - assert isinstance(item, SubredditMessage) - count += 1 - assert count == 100 - - async def test_log(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit("mod") - async for item in subreddit.mod.log(): - assert isinstance(item, ModAction) - count += 1 - assert count == 100 - - async def test_log__filters(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - redditor = await self.reddit.user.me() - subreddit = await self.reddit.subreddit("mod") - async for item in subreddit.mod.log(action="invitemoderator", mod=redditor): - assert isinstance(item, ModAction) - assert item.action == "invitemoderator" - assert isinstance(item.mod, Redditor) - assert item.mod == pytest.placeholders.username - count += 1 - assert count > 0 - - async def test_modqueue(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.modqueue(): - assert isinstance(item, (Comment, Submission)) - count += 1 - assert count > 0 - - async def test_modqueue__only_comments(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.modqueue(only="comments"): - assert isinstance(item, Comment) - count += 1 - assert count > 0 - - async def test_modqueue__only_submissions(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.modqueue(only="submissions"): - assert isinstance(item, Submission) - count += 1 - assert count > 0 - - async def test_notes(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - notes = await self.async_list( - subreddit.mod.notes.redditors("Watchful1", "watchful12", "spez") - ) - assert len(notes) == 3 - assert notes[0].user.name.lower() == "watchful1" - assert notes[1].user.name.lower() == "watchful12" - assert notes[2] is None - - async def test_reports(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.reports(): - assert isinstance(item, (Comment, Submission)) - count += 1 - assert count == 100 - - async def test_reports__only_comments(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.reports(only="comments"): - assert isinstance(item, Comment) - count += 1 - assert count > 0 - - async def test_reports__only_submissions(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.reports(only="submissions"): - assert isinstance(item, Submission) - count += 1 - assert count == 100 - - async def test_spam(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.spam(): - assert isinstance(item, (Comment, Submission)) - count += 1 - assert count > 0 - - async def test_spam__only_comments(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.spam(only="comments"): - assert isinstance(item, Comment) - count += 1 - assert count > 0 - - async def test_spam__only_submissions(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.spam(only="submissions"): - assert isinstance(item, Submission) - count += 1 - assert count > 0 - - async def test_unmoderated(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - async for item in subreddit.mod.unmoderated(): - assert isinstance(item, (Comment, Submission)) - count += 1 - assert count > 0 - - async def test_unread(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - subreddit = await self.reddit.subreddit("all") - async for item in subreddit.mod.unread(): - assert isinstance(item, SubredditMessage) - count += 1 - assert count > 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - before_settings = await subreddit.mod.settings() - new_title = f"{before_settings['title']}x" - new_title = ( - "x" - if (len(new_title) >= 20 and "placeholder" not in new_title) - else new_title - ) - await subreddit.mod.update(title=new_title) - await subreddit.load() - assert subreddit.title == new_title - after_settings = await subreddit.mod.settings() + async def test_accept_invite__no_invite(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.mod.accept_invite() + assert excinfo.value.items[0].error_type == "NO_INVITE_FOUND" - # Ensure that nothing has changed besides what was specified. - before_settings["title"] = new_title - assert before_settings == after_settings + async def test_edited(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.edited(): + assert isinstance(item, (Comment, Submission)) + count += 1 + assert count == 100 + + async def test_edited__only_comments(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.edited(only="comments"): + assert isinstance(item, Comment) + count += 1 + assert count == 100 + + async def test_edited__only_submissions(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.edited(only="submissions"): + assert isinstance(item, Submission) + count += 1 + assert count > 0 + + async def test_inbox(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit("all") + async for item in subreddit.mod.inbox(): + assert isinstance(item, SubredditMessage) + count += 1 + assert count == 100 + + async def test_log(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit("mod") + async for item in subreddit.mod.log(): + assert isinstance(item, ModAction) + count += 1 + assert count == 100 + + async def test_log__filters(self, reddit): + reddit.read_only = False + count = 0 + redditor = await reddit.user.me() + subreddit = await reddit.subreddit("mod") + async for item in subreddit.mod.log(action="invitemoderator", mod=redditor): + assert isinstance(item, ModAction) + assert item.action == "invitemoderator" + assert isinstance(item.mod, Redditor) + assert item.mod == pytest.placeholders.username + count += 1 + assert count > 0 + + async def test_modqueue(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.modqueue(): + assert isinstance(item, (Comment, Submission)) + count += 1 + assert count > 0 + + async def test_modqueue__only_comments(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.modqueue(only="comments"): + assert isinstance(item, Comment) + count += 1 + assert count > 0 + + async def test_modqueue__only_submissions(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.modqueue(only="submissions"): + assert isinstance(item, Submission) + count += 1 + assert count > 0 + + async def test_notes(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + notes = await self.async_list( + subreddit.mod.notes.redditors("Watchful1", "watchful12", "spez") + ) + assert len(notes) == 3 + assert notes[0].user.name.lower() == "watchful1" + assert notes[1].user.name.lower() == "watchful12" + assert notes[2] is None + + async def test_reports(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.reports(): + assert isinstance(item, (Comment, Submission)) + count += 1 + assert count == 100 + + async def test_reports__only_comments(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.reports(only="comments"): + assert isinstance(item, Comment) + count += 1 + assert count > 0 + + async def test_reports__only_submissions(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.reports(only="submissions"): + assert isinstance(item, Submission) + count += 1 + assert count == 100 + + async def test_spam(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.spam(): + assert isinstance(item, (Comment, Submission)) + count += 1 + assert count > 0 + + async def test_spam__only_comments(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.spam(only="comments"): + assert isinstance(item, Comment) + count += 1 + assert count > 0 + + async def test_spam__only_submissions(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.spam(only="submissions"): + assert isinstance(item, Submission) + count += 1 + assert count > 0 + + async def test_unmoderated(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for item in subreddit.mod.unmoderated(): + assert isinstance(item, (Comment, Submission)) + count += 1 + assert count > 0 + + async def test_unread(self, reddit): + reddit.read_only = False + count = 0 + subreddit = await reddit.subreddit("all") + async for item in subreddit.mod.unread(): + assert isinstance(item, SubredditMessage) + count += 1 + assert count > 0 + + async def test_update(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + before_settings = await subreddit.mod.settings() + new_title = f"{before_settings['title']}x" + new_title = ( + "x" + if (len(new_title) >= 20 and "placeholder" not in new_title) + else new_title + ) + await subreddit.mod.update(title=new_title) + await subreddit.load() + assert subreddit.title == new_title + after_settings = await subreddit.mod.settings() + + # Ensure that nothing has changed besides what was specified. + before_settings["title"] = new_title + assert before_settings == after_settings class TestSubredditModmail(IntegrationTest): - async def test_bulk_read(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - conversations = await subreddit.modmail.bulk_read(state="new") - for conversation in conversations: - assert isinstance(conversation, ModmailConversation) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_call(self, _): - self.reddit.read_only = False + async def test_bulk_read(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + conversations = await subreddit.modmail.bulk_read(state="new") + for conversation in conversations: + assert isinstance(conversation, ModmailConversation) + + async def test_call(self, reddit): + reddit.read_only = False conversation_id = "fjhla" - subreddit = await self.reddit.subreddit("all") - with self.use_cassette(): - conversation = await subreddit.modmail(conversation_id) - assert isinstance(conversation.user, Redditor) - for message in conversation.messages: - assert isinstance(message, ModmailMessage) - for action in conversation.mod_actions: - assert isinstance(action, ModmailAction) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_call__internal(self, _): - self.reddit.read_only = False + subreddit = await reddit.subreddit("all") + conversation = await subreddit.modmail(conversation_id) + assert isinstance(conversation.user, Redditor) + for message in conversation.messages: + assert isinstance(message, ModmailMessage) + for action in conversation.mod_actions: + assert isinstance(action, ModmailAction) + + async def test_call__internal(self, reddit): + reddit.read_only = False conversation_id = "ff1r8" - subreddit = await self.reddit.subreddit("all") - with self.use_cassette(): - conversation = await subreddit.modmail(conversation_id) - for message in conversation.messages: - assert isinstance(message, ModmailMessage) - for action in conversation.mod_actions: - assert isinstance(action, ModmailAction) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_call__mark_read(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("all") - with self.use_cassette(): - conversation = await subreddit.modmail("fccdg", mark_read=True) - assert conversation.last_unread is None - - @mock.patch("asyncio.sleep", return_value=None) - async def test_conversations(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("all") - conversations = subreddit.modmail.conversations() - async for conversation in conversations: - assert isinstance(conversation, ModmailConversation) - assert isinstance(conversation.authors[0], Redditor) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_conversations__other_subreddits(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("pics") - conversations = subreddit.modmail.conversations( - other_subreddits=["LifeProTips"] - ) - assert ( - len(set([conversation.owner async for conversation in conversations])) - > 1 - ) + subreddit = await reddit.subreddit("all") + conversation = await subreddit.modmail(conversation_id) + for message in conversation.messages: + assert isinstance(message, ModmailMessage) + for action in conversation.mod_actions: + assert isinstance(action, ModmailAction) + + async def test_call__mark_read(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("all") + conversation = await subreddit.modmail("fccdg", mark_read=True) + assert conversation.last_unread is None - @mock.patch("asyncio.sleep", return_value=None) - async def test_conversations__params(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit("all") - conversations = subreddit.modmail.conversations(state="mod") - async for conversation in conversations: - assert conversation.is_internal - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - redditor = await self.reddit.redditor(pytest.placeholders.username) - conversation = await subreddit.modmail.create( - subject="Subject", - body="Body", - recipient=redditor, - ) + async def test_conversations(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("all") + conversations = subreddit.modmail.conversations() + async for conversation in conversations: + assert isinstance(conversation, ModmailConversation) + assert isinstance(conversation.authors[0], Redditor) + + async def test_conversations__other_subreddits(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("pics") + conversations = subreddit.modmail.conversations( + other_subreddits=["LifeProTips"] + ) + assert ( + len(set([conversation.owner async for conversation in conversations])) > 1 + ) + + async def test_conversations__params(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("all") + conversations = subreddit.modmail.conversations(state="mod") + async for conversation in conversations: + assert conversation.is_internal + + async def test_create(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + redditor = await reddit.redditor(pytest.placeholders.username) + conversation = await subreddit.modmail.create( + subject="Subject", + body="Body", + recipient=redditor, + ) assert isinstance(conversation, ModmailConversation) - async def test_subreddits(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - async for subreddit in subreddit.modmail.subreddits(): - assert isinstance(subreddit, Subreddit) + async def test_subreddits(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for subreddit in subreddit.modmail.subreddits(): + assert isinstance(subreddit, Subreddit) - async def test_unread_count(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - assert isinstance(await subreddit.modmail.unread_count(), dict) + async def test_unread_count(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + assert isinstance(await subreddit.modmail.unread_count(), dict) class TestSubredditQuarantine(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_opt_in(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("tiananmenaquarefalse") - with self.use_cassette(): - with pytest.raises(Forbidden): - await self.async_next(subreddit.top()) - await subreddit.quaran.opt_in() - assert isinstance(await self.async_next(subreddit.top()), Submission) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_opt_out(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("tiananmenaquarefalse") - with self.use_cassette(): - await subreddit.quaran.opt_out() - with pytest.raises(Forbidden): - await self.async_next(subreddit.new()) + async def test_opt_in(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("tiananmenaquarefalse") + with pytest.raises(Forbidden): + await self.async_next(subreddit.top()) + await subreddit.quaran.opt_in() + assert isinstance(await self.async_next(subreddit.top()), Submission) + + async def test_opt_out(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("tiananmenaquarefalse") + await subreddit.quaran.opt_out() + with pytest.raises(Forbidden): + await self.async_next(subreddit.new()) class TestSubredditRelationships(IntegrationTest): @@ -1697,577 +1479,467 @@ async def add_remove(self, base, user, relationship): await relationship.remove(user) assert user not in await self.async_list(relationship()) - async def test_banned(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await self.add_remove(subreddit, self.REDDITOR, "banned") + async def test_banned(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await self.add_remove(subreddit, self.REDDITOR, "banned") - async def test_banned__user_filter(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_banned__user_filter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) banned = subreddit.banned(redditor="pyapitestuser3") - with self.use_cassette(): - assert len(await self.async_list(banned)) == 1 - - async def test_contributor(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await self.add_remove(subreddit, self.REDDITOR, "contributor") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_contributor_leave(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.contributor.leave() - - async def test_contributor__user_filter(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + assert len(await self.async_list(banned)) == 1 + + async def test_contributor(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await self.add_remove(subreddit, self.REDDITOR, "contributor") + + async def test_contributor_leave(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.contributor.leave() + + async def test_contributor__user_filter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) contributor = subreddit.contributor(redditor="pyapitestuser3") - with self.use_cassette(): - assert len(await self.async_list(contributor)) == 1 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderator(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - # Moderators can only be invited. - # As of 2016-03-18 there is no API endpoint to get the moderator - # invite list. - await subreddit.moderator.add(self.REDDITOR) - assert self.REDDITOR not in await subreddit.moderator() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderator_aiter(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - async for moderator in subreddit.moderator: - assert isinstance(moderator, Redditor) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderator__limited_permissions(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - # Moderators can only be invited. - # As of 2016-03-18 there is no API endpoint to get the moderator - # invite list. - await subreddit.moderator.add(self.REDDITOR, permissions=["access", "wiki"]) - assert self.REDDITOR not in await subreddit.moderator() - - async def test_moderator_invite__invalid_perm(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await subreddit.moderator.invite(self.REDDITOR, permissions=["a"]) - assert excinfo.value.items[0].error_type == "INVALID_PERMISSIONS" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderator_invite__no_perms(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - # Moderators can only be invited. - # As of 2016-03-18 there is no API endpoint to get the moderator - # invite list. - await subreddit.moderator.invite(self.REDDITOR, permissions=[]) - assert self.REDDITOR not in await subreddit.moderator() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderator_invited_moderators(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - invited = subreddit.moderator.invited() - assert isinstance(invited, ListingGenerator) - async for moderator in invited: - assert isinstance(moderator, Redditor) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderator_leave(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.moderator.leave() - - async def test_moderator_update(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.moderator.update( - pytest.placeholders.username, permissions=["config"] - ) + assert len(await self.async_list(contributor)) == 1 + + async def test_moderator(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + # Moderators can only be invited. + # As of 2016-03-18 there is no API endpoint to get the moderator + # invite list. + await subreddit.moderator.add(self.REDDITOR) + assert self.REDDITOR not in await subreddit.moderator() + + async def test_moderator_aiter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + async for moderator in subreddit.moderator: + assert isinstance(moderator, Redditor) + + async def test_moderator__limited_permissions(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + # Moderators can only be invited. + # As of 2016-03-18 there is no API endpoint to get the moderator + # invite list. + await subreddit.moderator.add(self.REDDITOR, permissions=["access", "wiki"]) + assert self.REDDITOR not in await subreddit.moderator() + + async def test_moderator_invite__invalid_perm(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(RedditAPIException) as excinfo: + await subreddit.moderator.invite(self.REDDITOR, permissions=["a"]) + assert excinfo.value.items[0].error_type == "INVALID_PERMISSIONS" + + async def test_moderator_invite__no_perms(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + # Moderators can only be invited. + # As of 2016-03-18 there is no API endpoint to get the moderator + # invite list. + await subreddit.moderator.invite(self.REDDITOR, permissions=[]) + assert self.REDDITOR not in await subreddit.moderator() + + async def test_moderator_invited_moderators(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + invited = subreddit.moderator.invited() + assert isinstance(invited, ListingGenerator) + async for moderator in invited: + assert isinstance(moderator, Redditor) + + async def test_moderator_leave(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.moderator.leave() + + async def test_moderator_update(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.moderator.update( + pytest.placeholders.username, permissions=["config"] + ) - async def test_moderator_update_invite(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.moderator.update_invite(self.REDDITOR, permissions=["mail"]) - - async def test_moderator__user_filter(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - moderator = await subreddit.moderator(redditor=pytest.placeholders.username) + async def test_moderator_update_invite(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.moderator.update_invite(self.REDDITOR, permissions=["mail"]) + + async def test_moderator__user_filter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + moderator = await subreddit.moderator(redditor=pytest.placeholders.username) assert len(moderator) == 1 assert "mod_permissions" in moderator[0].__dict__ - @mock.patch("asyncio.sleep", return_value=None) - async def test_muted(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await self.add_remove(subreddit, self.REDDITOR, "muted") + async def test_muted(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await self.add_remove(subreddit, self.REDDITOR, "muted") - async def test_moderator_remove_invite(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.moderator.remove_invite(self.REDDITOR) + async def test_moderator_remove_invite(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.moderator.remove_invite(self.REDDITOR) - async def test_wiki_banned(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await self.add_remove(subreddit.wiki, self.REDDITOR, "banned") + async def test_wiki_banned(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await self.add_remove(subreddit.wiki, self.REDDITOR, "banned") - async def test_wiki_contributor(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await self.add_remove(subreddit.wiki, self.REDDITOR, "contributor") + async def test_wiki_contributor(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await self.add_remove(subreddit.wiki, self.REDDITOR, "contributor") class TestSubredditStreams(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_comments(self, _): - subreddit = await self.reddit.subreddit("all") - with self.use_cassette(): - generator = subreddit.stream.comments() - for i in range(400): - assert isinstance(await self.async_next(generator), Comment) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_comments__with_pause(self, _): - subreddit = await self.reddit.subreddit("askreddit") - with self.use_cassette(): - comment_stream = subreddit.stream.comments(pause_after=0) - comment_count = 1 - pause_count = 1 + async def test_comments(self, reddit): + subreddit = await reddit.subreddit("all") + generator = subreddit.stream.comments() + for i in range(400): + assert isinstance(await self.async_next(generator), Comment) + + async def test_comments__with_pause(self, reddit): + subreddit = await reddit.subreddit("askreddit") + comment_stream = subreddit.stream.comments(pause_after=0) + comment_count = 1 + pause_count = 1 + comment = await self.async_next(comment_stream) + while comment is not None: + comment_count += 1 comment = await self.async_next(comment_stream) - while comment is not None: - comment_count += 1 - comment = await self.async_next(comment_stream) - while comment is None: - pause_count += 1 - comment = await self.async_next(comment_stream) - assert comment_count == 108 - assert pause_count == 3 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_comments__with_skip_existing(self, _): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("askreddit") - generator = subreddit.stream.comments(skip_existing=True, pause_after=-1) - comment = await self.async_next(generator) - assert comment is None - comment = await self.async_next(generator) - assert isinstance(comment, Comment) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submissions(self, _): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("all") - generator = subreddit.stream.submissions() - for i in range(101): - assert isinstance(await self.async_next(generator), Submission) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submissions__with_pause(self, _): - with self.use_cassette("TestSubredditStreams.test_submissions"): - subreddit = await self.reddit.subreddit("all") - generator = subreddit.stream.submissions(pause_after=-1) - submission = await self.async_next(generator) - submission_count = 0 - while submission is not None: - submission_count += 1 - submission = await self.async_next(generator) - assert submission_count == 100 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_submissions__with_pause_and_skip_after(self, _): - with self.use_cassette("TestSubredditStreams.test_submissions"): - subreddit = await self.reddit.subreddit("all") - generator = subreddit.stream.submissions(pause_after=-1, skip_existing=True) + while comment is None: + pause_count += 1 + comment = await self.async_next(comment_stream) + assert comment_count == 108 + assert pause_count == 3 + + async def test_comments__with_skip_existing(self, reddit): + subreddit = await reddit.subreddit("askreddit") + generator = subreddit.stream.comments(skip_existing=True, pause_after=-1) + comment = await self.async_next(generator) + assert comment is None + comment = await self.async_next(generator) + assert isinstance(comment, Comment) + + async def test_submissions(self, reddit): + subreddit = await reddit.subreddit("all") + generator = subreddit.stream.submissions() + for i in range(101): + assert isinstance(await self.async_next(generator), Submission) + + @pytest.mark.cassette_name("TestSubredditStreams.test_submissions") + async def test_submissions__with_pause(self, reddit): + subreddit = await reddit.subreddit("all") + generator = subreddit.stream.submissions(pause_after=-1) + submission = await self.async_next(generator) + submission_count = 0 + while submission is not None: + submission_count += 1 submission = await self.async_next(generator) - assert submission is None # The first thing yielded should be None - submission_count = 0 + assert submission_count == 100 + + @pytest.mark.cassette_name("TestSubredditStreams.test_submissions") + async def test_submissions__with_pause_and_skip_after(self, reddit): + subreddit = await reddit.subreddit("all") + generator = subreddit.stream.submissions(pause_after=-1, skip_existing=True) + submission = await self.async_next(generator) + assert submission is None # The first thing yielded should be None + submission_count = 0 + submission = await self.async_next(generator) + while submission is not None: + submission_count += 1 submission = await self.async_next(generator) - while submission is not None: - submission_count += 1 - submission = await self.async_next(generator) - assert submission_count < 100 + assert submission_count < 100 class TestSubredditModerationStreams(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_edited(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.edited() - for i in range(101): - assert isinstance( - await self.async_next(generator), (Comment, Submission) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_log(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.log() - for i in range(101): - assert isinstance(await self.async_next(generator), ModAction) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_modmail_conversations(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.modmail_conversations() - for i in range(101): - assert isinstance(await self.async_next(generator), ModmailConversation) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_modqueue(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.modqueue() - for i in range(10): - assert isinstance( - await self.async_next(generator), (Comment, Submission) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_spam(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.spam() - for i in range(101): - assert isinstance( - await self.async_next(generator), (Comment, Submission) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_reports(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.reports() - for i in range(10): - assert isinstance( - await self.async_next(generator), (Comment, Submission) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unmoderated(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.unmoderated() - for i in range(101): - assert isinstance( - await self.async_next(generator), (Comment, Submission) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unread(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit("mod") - with self.use_cassette(): - generator = subreddit.mod.stream.unread() - for i in range(2): - assert isinstance(await self.async_next(generator), SubredditMessage) + async def test_edited(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.edited() + for i in range(101): + assert isinstance(await self.async_next(generator), (Comment, Submission)) + + async def test_log(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.log() + for i in range(101): + assert isinstance(await self.async_next(generator), ModAction) + + async def test_modmail_conversations(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.modmail_conversations() + for i in range(101): + assert isinstance(await self.async_next(generator), ModmailConversation) + + async def test_modqueue(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.modqueue() + for i in range(10): + assert isinstance(await self.async_next(generator), (Comment, Submission)) + + async def test_spam(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.spam() + for i in range(101): + assert isinstance(await self.async_next(generator), (Comment, Submission)) + + async def test_reports(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.reports() + for i in range(10): + assert isinstance(await self.async_next(generator), (Comment, Submission)) + + async def test_unmoderated(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.unmoderated() + for i in range(101): + assert isinstance(await self.async_next(generator), (Comment, Submission)) + + async def test_unread(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit("mod") + generator = subreddit.mod.stream.unread() + for i in range(2): + assert isinstance(await self.async_next(generator), SubredditMessage) class TestSubredditStylesheet(IntegrationTest): - async def test_call(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - stylesheet = await subreddit.stylesheet() + async def test_call(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + stylesheet = await subreddit.stylesheet() assert isinstance(stylesheet, Stylesheet) assert len(stylesheet.images) > 0 assert stylesheet.stylesheet != "" - async def test_delete_banner(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.delete_banner() - - async def test_delete_banner_additional_image(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.delete_banner_additional_image() - - async def test_delete_banner_hover_image(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.delete_banner_hover_image() - - async def test_delete_header(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.delete_header() - - async def test_delete_image(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.delete_image("praw") - - async def test_delete_mobile_header(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.delete_mobile_header() - - async def test_delete_mobile_icon(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.delete_mobile_icon() - - async def test_update(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.update("p { color: red; }") - - async def test_update__with_reason(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.update("div { color: red; }", reason="use div") - - async def test_upload(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - response = await subreddit.stylesheet.upload( - name="asyncpraw", image_path=image_path("white-square.png") - ) + async def test_delete_banner(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.delete_banner() + + async def test_delete_banner_additional_image(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.delete_banner_additional_image() + + async def test_delete_banner_hover_image(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.delete_banner_hover_image() + + async def test_delete_header(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.delete_header() + + async def test_delete_image(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.delete_image("praw") + + async def test_delete_mobile_header(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.delete_mobile_header() + + async def test_delete_mobile_icon(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.delete_mobile_icon() + + async def test_update(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.update("p { color: red; }") + + async def test_update__with_reason(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.update("div { color: red; }", reason="use div") + + async def test_upload(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.stylesheet.upload( + name="asyncpraw", image_path=image_path("white-square.png") + ) assert response["img_src"].endswith(".png") - async def test_upload__invalid(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await subreddit.stylesheet.upload( - name="asyncpraw", image_path=image_path("invalid.jpg") - ) + async def test_upload__invalid(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(RedditAPIException) as excinfo: + await subreddit.stylesheet.upload( + name="asyncpraw", image_path=image_path("invalid.jpg") + ) assert excinfo.value.items[0].error_type == "IMAGE_ERROR" - async def test_upload__invalid_ext(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await subreddit.stylesheet.upload( - name="asyncpraw", image_path=image_path("white-square.png") - ) + async def test_upload__invalid_ext(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(RedditAPIException) as excinfo: + await subreddit.stylesheet.upload( + name="asyncpraw", image_path=image_path("white-square.png") + ) assert excinfo.value.items[0].error_type == "BAD_CSS_NAME" - async def test_upload__too_large(self): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with pytest.raises(TooLarge): - await subreddit.stylesheet.upload( - name="asyncpraw", image_path=image_path("too_large.jpg") - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_banner__jpg(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.upload_banner(image_path("white-square.jpg")) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_banner__png(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.upload_banner(image_path("white-square.png")) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_banner_additional_image__jpg(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.upload_banner_additional_image( - image_path("white-square.jpg") + async def test_upload__too_large(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(TooLarge): + await subreddit.stylesheet.upload( + name="asyncpraw", image_path=image_path("too_large.jpg") ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_banner_additional_image__png(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.upload_banner_additional_image( - image_path("white-square.png") - ) + async def test_upload_banner__jpg(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.upload_banner(image_path("white-square.jpg")) - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_banner_additional_image__align(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - for alignment in ("left", "centered", "right"): - await subreddit.stylesheet.upload_banner_additional_image( - image_path("white-square.png"), align=alignment - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_banner_hover_image__jpg(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - await subreddit.stylesheet.upload_banner_additional_image( - image_path("white-square.png") - ) - await subreddit.stylesheet.upload_banner_hover_image( - image_path("white-square.jpg") - ) + async def test_upload_banner__png(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.upload_banner(image_path("white-square.png")) + + async def test_upload_banner_additional_image__jpg(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.upload_banner_additional_image( + image_path("white-square.jpg") + ) + + async def test_upload_banner_additional_image__png(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.upload_banner_additional_image( + image_path("white-square.png") + ) - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_banner_hover_image__png(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): + async def test_upload_banner_additional_image__align(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for alignment in ("left", "centered", "right"): await subreddit.stylesheet.upload_banner_additional_image( - image_path("white-square.jpg") - ) - await subreddit.stylesheet.upload_banner_hover_image( - image_path("white-square.png") + image_path("white-square.png"), align=alignment ) - async def test_upload_header__jpg(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - response = await subreddit.stylesheet.upload_header( - image_path("white-square.jpg") - ) + async def test_upload_banner_hover_image__jpg(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.upload_banner_additional_image( + image_path("white-square.png") + ) + await subreddit.stylesheet.upload_banner_hover_image( + image_path("white-square.jpg") + ) + + async def test_upload_banner_hover_image__png(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + await subreddit.stylesheet.upload_banner_additional_image( + image_path("white-square.jpg") + ) + await subreddit.stylesheet.upload_banner_hover_image( + image_path("white-square.png") + ) + + async def test_upload_header__jpg(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.stylesheet.upload_header( + image_path("white-square.jpg") + ) assert response["img_src"].endswith(".jpg") - async def test_upload_header__png(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - response = await subreddit.stylesheet.upload_header( - image_path("white-square.png") - ) + async def test_upload_header__png(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.stylesheet.upload_header( + image_path("white-square.png") + ) assert response["img_src"].endswith(".png") - async def test_upload_mobile_header(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - response = await subreddit.stylesheet.upload_mobile_header( - image_path("header.jpg") - ) + async def test_upload_mobile_header(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.stylesheet.upload_mobile_header( + image_path("header.jpg") + ) assert response["img_src"].endswith(".jpg") - async def test_upload_mobile_icon(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - response = await subreddit.stylesheet.upload_mobile_icon( - image_path("icon.jpg") - ) + async def test_upload_mobile_icon(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + response = await subreddit.stylesheet.upload_mobile_icon(image_path("icon.jpg")) assert response["img_src"].endswith(".jpg") - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload__others_invalid(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - for method in [ - "upload_header", - "upload_mobile_header", - "upload_mobile_icon", - ]: - with pytest.raises(RedditAPIException) as excinfo: - await getattr(subreddit.stylesheet, method)( - image_path("invalid.jpg") - ) - assert excinfo.value.items[0].error_type == "IMAGE_ERROR" - - async def test_upload__others_too_large(self): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - for method in [ - "upload_header", - "upload_mobile_header", - "upload_mobile_icon", - ]: - with pytest.raises(TooLarge): - await getattr( - subreddit.stylesheet, - method, - )(image_path("too_large.jpg")) + async def test_upload__others_invalid(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for method in [ + "upload_header", + "upload_mobile_header", + "upload_mobile_icon", + ]: + with pytest.raises(RedditAPIException) as excinfo: + await getattr(subreddit.stylesheet, method)(image_path("invalid.jpg")) + assert excinfo.value.items[0].error_type == "IMAGE_ERROR" + + async def test_upload__others_too_large(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for method in [ + "upload_header", + "upload_mobile_header", + "upload_mobile_icon", + ]: + with pytest.raises(TooLarge): + await getattr( + subreddit.stylesheet, + method, + )(image_path("too_large.jpg")) class TestSubredditWiki(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test__aiter(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - count = 0 - async for wikipage in subreddit.wiki: - assert isinstance(wikipage, WikiPage) - count += 1 - assert count > 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - with self.use_cassette(): - wikipage = await subreddit.wiki.create( - name="Async PRAW New Page", content="This is the new wiki page" - ) - await wikipage.load() - assert wikipage.name == "async_praw_new_page" - assert wikipage.content_md == "This is the new wiki page" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_revisions(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - with self.use_cassette(): - count = 0 - async for revision in subreddit.wiki.revisions(limit=2): - count += 1 - assert isinstance(revision["author"], Redditor) - assert isinstance(revision["page"], WikiPage) - assert count == 2 + async def test__aiter(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + count = 0 + async for wikipage in subreddit.wiki: + assert isinstance(wikipage, WikiPage) + count += 1 + assert count > 0 + + async def test_create(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + wikipage = await subreddit.wiki.create( + name="Async PRAW New Page", content="This is the new wiki page" + ) + await wikipage.load() + assert wikipage.name == "async_praw_new_page" + assert wikipage.content_md == "This is the new wiki page" + + async def test_revisions(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + count = 0 + async for revision in subreddit.wiki.revisions(limit=2): + count += 1 + assert isinstance(revision["author"], Redditor) + assert isinstance(revision["page"], WikiPage) + assert count == 2 diff --git a/tests/integration/models/reddit/test_user_subreddit.py b/tests/integration/models/reddit/test_user_subreddit.py index ba7d13cad..e0f434e83 100644 --- a/tests/integration/models/reddit/test_user_subreddit.py +++ b/tests/integration/models/reddit/test_user_subreddit.py @@ -1,5 +1,3 @@ -from unittest import mock - import pytest from asyncpraw.exceptions import RedditAPIException @@ -7,31 +5,28 @@ class TestUserSubredditModeration(IntegrationTest): - async def test_accept_invite__no_invite(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - user = await self.reddit.redditor("Lil_SpazJoekp", fetch=True) - await user.subreddit.mod.accept_invite() - assert excinfo.value.items[0].error_type == "NO_INVITE_FOUND" + async def test_accept_invite__no_invite(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException) as excinfo: + user = await reddit.redditor("Lil_SpazJoekp", fetch=True) + await user.subreddit.mod.accept_invite() + assert excinfo.value.items[0].error_type == "NO_INVITE_FOUND" - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False - with self.use_cassette(): - authenticated_user = await self.reddit.user.me() - before_settings = await authenticated_user.subreddit.mod.settings() - new_title = f"{before_settings['title']}x" - new_title = ( - "x" - if (len(new_title) >= 20 and "placeholder" not in new_title) - else new_title - ) - await authenticated_user.subreddit.mod.update(title=new_title) - authenticated_user = await self.reddit.user.me(use_cache=False) - assert authenticated_user.subreddit.title == new_title - after_settings = await authenticated_user.subreddit.mod.settings() + async def test_update(self, reddit): + reddit.read_only = False + authenticated_user = await reddit.user.me() + before_settings = await authenticated_user.subreddit.mod.settings() + new_title = f"{before_settings['title']}x" + new_title = ( + "x" + if (len(new_title) >= 20 and "placeholder" not in new_title) + else new_title + ) + await authenticated_user.subreddit.mod.update(title=new_title) + authenticated_user = await reddit.user.me(use_cache=False) + assert authenticated_user.subreddit.title == new_title + after_settings = await authenticated_user.subreddit.mod.settings() - # Ensure that nothing has changed besides what was specified. - before_settings["title"] = new_title - assert before_settings == after_settings + # Ensure that nothing has changed besides what was specified. + before_settings["title"] = new_title + assert before_settings == after_settings diff --git a/tests/integration/models/reddit/test_widgets.py b/tests/integration/models/reddit/test_widgets.py index bc5cc1e76..e5a81b41d 100644 --- a/tests/integration/models/reddit/test_widgets.py +++ b/tests/integration/models/reddit/test_widgets.py @@ -1,13 +1,5 @@ -import sys -from os.path import abspath, dirname, join - import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.models import ( Button, ButtonWidget, @@ -33,480 +25,457 @@ from ... import IntegrationTest -def image_path(name): - test_dir = abspath(dirname(sys.modules[__name__].__file__)) - return abspath(join(test_dir, "..", "..", "files", name)) - - class TestButtonWidget(IntegrationTest): - async def test_button_widget(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - button_widget = None - async for widget in widgets.sidebar(): - if isinstance(widget, ButtonWidget): - button_widget = widget - break - assert isinstance(button_widget, ButtonWidget) - assert len(button_widget) >= 1 - assert all(isinstance(button, Button) for button in button_widget.buttons) - assert button_widget == button_widget - assert button_widget.id == button_widget - assert button_widget in await self.async_list(widgets.sidebar()) - - assert button_widget[0].text - assert button_widget.shortName - assert hasattr(button_widget, "description") - - assert subreddit == button_widget.subreddit - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False - - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - - with self.use_cassette(): - styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} - my_image = await widgets.mod.upload_image(image_path("test.png")) - buttons = [ - { + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_button_widget(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + button_widget = None + async for widget in widgets.sidebar(): + if isinstance(widget, ButtonWidget): + button_widget = widget + break + assert isinstance(button_widget, ButtonWidget) + assert len(button_widget) >= 1 + assert all(isinstance(button, Button) for button in button_widget.buttons) + assert button_widget == button_widget + assert button_widget.id == button_widget + assert button_widget in await self.async_list(widgets.sidebar()) + + assert button_widget[0].text + assert button_widget.shortName + assert hasattr(button_widget, "description") + + assert subreddit == button_widget.subreddit + + async def test_create_and_update_and_delete(self, reddit, image_path): + reddit.read_only = False + + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} + my_image = await widgets.mod.upload_image(image_path("test.png")) + buttons = [ + { + "kind": "text", + "text": "View source", + "url": "https://github.com/praw-dev/asyncpraw", + "color": "#FF0000", + "textColor": "#00FF00", + "fillColor": "#0000FF", + "hoverState": { "kind": "text", - "text": "View source", - "url": "https://github.com/praw-dev/asyncpraw", - "color": "#FF0000", - "textColor": "#00FF00", + "text": "VIEW SOURCE!", + "color": "#FFFFFF", + "textColor": "#000000", "fillColor": "#0000FF", - "hoverState": { - "kind": "text", - "text": "VIEW SOURCE!", - "color": "#FFFFFF", - "textColor": "#000000", - "fillColor": "#0000FF", - }, }, - { + }, + { + "kind": "image", + "text": "View documentation", + "linkUrl": "https://asyncpraw.readthedocs.io", + "url": my_image, + "height": 200, + "width": 200, + "hoverState": { "kind": "image", - "text": "View documentation", - "linkUrl": "https://asyncpraw.readthedocs.io", "url": my_image, "height": 200, "width": 200, - "hoverState": { - "kind": "image", - "url": my_image, - "height": 200, - "width": 200, - }, }, - { - "kind": "text", - "text": "/r/redditdev", - "url": "https://reddit.com/r/redditdev", - "color": "#000000", - "textColor": "#FF00FF", - "fillColor": "#005500", - }, - ] - widget = await widgets.mod.add_button_widget( - short_name="Things to click", - description="Click some of these *cool* links!", - buttons=buttons, - styles=styles, - ) - - assert isinstance(widget, ButtonWidget) - assert len(widget) == 3 - assert all(isinstance(item, Button) for item in widget) - assert widget.shortName == "Things to click" - assert widget.description == "Click some of these *cool* links!" - assert widget.styles == styles - - assert widget[0].text == "View source" - assert widget[0].url == "https://github.com/praw-dev/asyncpraw" - assert widget[2].text == "/r/redditdev" - assert widget[2].url == "https://reddit.com/r/redditdev" - - assert widget[1].text == "View documentation" - assert widget[1].linkUrl == "https://asyncpraw.readthedocs.io" - assert widget[1].hoverState["kind"] == "image" - assert widget[1].hoverState["height"] == 200 - - await widgets.refresh() # the links are initially invalid - async for new_widget in widgets.sidebar(): - if new_widget == widget: - widget = new_widget - break - - widget = await widget.mod.update(shortName="New short name") - - assert isinstance(widget, ButtonWidget) - assert len(widget) == 3 - assert all(isinstance(item, Button) for item in widget) - assert widget.shortName == "New short name" - assert widget.description == "Click some of these *cool* links!" - assert widget.styles == styles - - assert widget[0].text == "View source" - assert widget[0].url == "https://github.com/praw-dev/asyncpraw" - assert widget[2].text == "/r/redditdev" - assert widget[2].url == "https://reddit.com/r/redditdev" - - assert widget[1].text == "View documentation" - assert widget[1].linkUrl == "https://asyncpraw.readthedocs.io" - assert widget[1].hoverState["kind"] == "image" - assert widget[1].hoverState["height"] == 200 - - buttons.reverse() - widget = await widget.mod.update(buttons=buttons) - - assert isinstance(widget, ButtonWidget) - assert len(widget) == 3 - assert all(isinstance(item, Button) for item in widget) - assert widget.shortName == "New short name" - assert widget.description == "Click some of these *cool* links!" - assert widget.styles == styles - - assert widget[0].text == "/r/redditdev" - assert widget[0].url == "https://reddit.com/r/redditdev" - assert widget[2].text == "View source" - assert widget[2].url == "https://github.com/praw-dev/asyncpraw" - - assert widget[1].text == "View documentation" - assert widget[1].linkUrl == "https://asyncpraw.readthedocs.io" - assert widget[1].hoverState["kind"] == "image" - assert widget[1].hoverState["height"] == 200 - - await widget.mod.delete() + }, + { + "kind": "text", + "text": "/r/redditdev", + "url": "https://reddit.com/r/redditdev", + "color": "#000000", + "textColor": "#FF00FF", + "fillColor": "#005500", + }, + ] + widget = await widgets.mod.add_button_widget( + short_name="Things to click", + description="Click some of these *cool* links!", + buttons=buttons, + styles=styles, + ) + + assert isinstance(widget, ButtonWidget) + assert len(widget) == 3 + assert all(isinstance(item, Button) for item in widget) + assert widget.shortName == "Things to click" + assert widget.description == "Click some of these *cool* links!" + assert widget.styles == styles + + assert widget[0].text == "View source" + assert widget[0].url == "https://github.com/praw-dev/asyncpraw" + assert widget[2].text == "/r/redditdev" + assert widget[2].url == "https://reddit.com/r/redditdev" + + assert widget[1].text == "View documentation" + assert widget[1].linkUrl == "https://asyncpraw.readthedocs.io" + assert widget[1].hoverState["kind"] == "image" + assert widget[1].hoverState["height"] == 200 + + await widgets.refresh() # the links are initially invalid + async for new_widget in widgets.sidebar(): + if new_widget == widget: + widget = new_widget + break + + widget = await widget.mod.update(shortName="New short name") + + assert isinstance(widget, ButtonWidget) + assert len(widget) == 3 + assert all(isinstance(item, Button) for item in widget) + assert widget.shortName == "New short name" + assert widget.description == "Click some of these *cool* links!" + assert widget.styles == styles + + assert widget[0].text == "View source" + assert widget[0].url == "https://github.com/praw-dev/asyncpraw" + assert widget[2].text == "/r/redditdev" + assert widget[2].url == "https://reddit.com/r/redditdev" + + assert widget[1].text == "View documentation" + assert widget[1].linkUrl == "https://asyncpraw.readthedocs.io" + assert widget[1].hoverState["kind"] == "image" + assert widget[1].hoverState["height"] == 200 + + buttons.reverse() + widget = await widget.mod.update(buttons=buttons) + + assert isinstance(widget, ButtonWidget) + assert len(widget) == 3 + assert all(isinstance(item, Button) for item in widget) + assert widget.shortName == "New short name" + assert widget.description == "Click some of these *cool* links!" + assert widget.styles == styles + + assert widget[0].text == "/r/redditdev" + assert widget[0].url == "https://reddit.com/r/redditdev" + assert widget[2].text == "View source" + assert widget[2].url == "https://github.com/praw-dev/asyncpraw" + + assert widget[1].text == "View documentation" + assert widget[1].linkUrl == "https://asyncpraw.readthedocs.io" + assert widget[1].hoverState["kind"] == "image" + assert widget[1].hoverState["height"] == 200 + + await widget.mod.delete() class TestCalendar(IntegrationTest): - async def test_calendar(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - calendar = None - async for widget in widgets.sidebar(): - if isinstance(widget, Calendar): - calendar = widget - break - assert isinstance(calendar, Calendar) - assert calendar == calendar - assert calendar.id == calendar - assert calendar in await self.async_list(widgets.sidebar()) - - assert isinstance(calendar.configuration, dict) - assert hasattr(calendar, "requiresSync") - - assert subreddit == calendar.subreddit - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False - - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_calendar(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + calendar = None + async for widget in widgets.sidebar(): + if isinstance(widget, Calendar): + calendar = widget + break + assert isinstance(calendar, Calendar) + assert calendar == calendar + assert calendar.id == calendar + assert calendar in await self.async_list(widgets.sidebar()) + + assert isinstance(calendar.configuration, dict) + assert hasattr(calendar, "requiresSync") + + assert subreddit == calendar.subreddit + + async def test_create_and_update_and_delete(self, reddit): + reddit.read_only = False + + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} + config = { + "numEvents": 10, + "showDate": True, + "showDescription": False, + "showLocation": False, + "showTime": True, + "showTitle": True, + } + cal_id = "ccahu0rstno2jrvioq4ccffn78@group.calendar.google.com" + widget = await widgets.mod.add_calendar( + short_name="Upcoming Events", + google_calendar_id=cal_id, + requires_sync=True, + configuration=config, + styles=styles, + ) - with self.use_cassette(): - styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} - config = { - "numEvents": 10, - "showDate": True, - "showDescription": False, - "showLocation": False, - "showTime": True, - "showTitle": True, - } - cal_id = "ccahu0rstno2jrvioq4ccffn78@group.calendar.google.com" - widget = await widgets.mod.add_calendar( - short_name="Upcoming Events", - google_calendar_id=cal_id, - requires_sync=True, - configuration=config, - styles=styles, - ) - - assert isinstance(widget, Calendar) - assert widget.shortName == "Upcoming Events" - assert ( - widget.googleCalendarId - == "ccahu0rstno2jrvioq4ccffn78@group.calendar.google.com" - ) - assert widget.configuration == config - assert widget.styles == styles - - widget = await widget.mod.update(shortName="Past Events :(") - - assert isinstance(widget, Calendar) - assert widget.shortName == "Past Events :(" - assert ( - widget.googleCalendarId - == "ccahu0rstno2jrvioq4ccffn78@group.calendar.google.com" - ) - assert widget.configuration == config - assert widget.styles == styles - - await widget.mod.delete() + assert isinstance(widget, Calendar) + assert widget.shortName == "Upcoming Events" + assert ( + widget.googleCalendarId + == "ccahu0rstno2jrvioq4ccffn78@group.calendar.google.com" + ) + assert widget.configuration == config + assert widget.styles == styles + + widget = await widget.mod.update(shortName="Past Events :(") + + assert isinstance(widget, Calendar) + assert widget.shortName == "Past Events :(" + assert ( + widget.googleCalendarId + == "ccahu0rstno2jrvioq4ccffn78@group.calendar.google.com" + ) + assert widget.configuration == config + assert widget.styles == styles + + await widget.mod.delete() class TestCommunityList(IntegrationTest): - async def test_community_list(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - comm_list = None - async for widget in widgets.sidebar(): - if isinstance(widget, CommunityList): - comm_list = widget - break - assert isinstance(comm_list, CommunityList) - assert len(comm_list) >= 1 - assert all(isinstance(subreddit, Subreddit) for subreddit in comm_list) - assert comm_list == comm_list - assert comm_list.id == comm_list - assert comm_list in await self.async_list(widgets.sidebar()) - - assert comm_list.shortName - assert comm_list[0] in comm_list - - assert subreddit == comm_list.subreddit - - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False - - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_community_list(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + comm_list = None + async for widget in widgets.sidebar(): + if isinstance(widget, CommunityList): + comm_list = widget + break + assert isinstance(comm_list, CommunityList) + assert len(comm_list) >= 1 + assert all(isinstance(subreddit, Subreddit) for subreddit in comm_list) + assert comm_list == comm_list + assert comm_list.id == comm_list + assert comm_list in await self.async_list(widgets.sidebar()) + + assert comm_list.shortName + assert comm_list[0] in comm_list + + assert subreddit == comm_list.subreddit + + async def test_create_and_update_and_delete(self, reddit): + reddit.read_only = False + + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} + subreddits = ["learnpython", Subreddit(reddit, "redditdev")] + widget = await widgets.mod.add_community_list( + short_name="My fav subs", + data=subreddits, + styles=styles, + description="My description", + ) + assert isinstance(widget, CommunityList) + assert widget.shortName == "My fav subs" + assert widget.styles == styles + # assert widget.description == "My description" # no longer returned + assert Subreddit(reddit, "learnpython") in widget + assert "redditdev" in widget + + widget = await widget.mod.update( + shortName="My least fav subs :(", + data=["redesign"], + description="My new description", + ) + + assert isinstance(widget, CommunityList) + assert widget.shortName == "My least fav subs :(" + assert widget.styles == styles + # assert widget.description == "My new description" # no longer returned + assert Subreddit(reddit, "redesign") in widget - with self.use_cassette(): - styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} - subreddits = ["learnpython", Subreddit(self.reddit, "redditdev")] - widget = await widgets.mod.add_community_list( - short_name="My fav subs", - data=subreddits, - styles=styles, - description="My description", - ) - assert isinstance(widget, CommunityList) - assert widget.shortName == "My fav subs" - assert widget.styles == styles - # assert widget.description == "My description" # no longer returned - assert Subreddit(self.reddit, "learnpython") in widget - assert "redditdev" in widget - - widget = await widget.mod.update( - shortName="My least fav subs :(", - data=["redesign"], - description="My new description", - ) - - assert isinstance(widget, CommunityList) - assert widget.shortName == "My least fav subs :(" - assert widget.styles == styles - # assert widget.description == "My new description" # no longer returned - assert Subreddit(self.reddit, "redesign") in widget - - await widget.mod.delete() + await widget.mod.delete() class TestCustomWidget(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False + async def test_create_and_update_and_delete(self, reddit, image_path): + reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets + image_dicts = [ + { + "width": 0, + "height": 0, + "name": "a", + "url": await widgets.mod.upload_image(image_path("test.png")), + } + ] - with self.use_cassette(): - image_dicts = [ - { - "width": 0, - "height": 0, - "name": "a", - "url": await widgets.mod.upload_image(image_path("test.png")), - } - ] + styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} + widget = await widgets.mod.add_custom_widget( + short_name="My widget", + text="# Hello world!", + css="/**/", + height=200, + image_data=image_dicts, + styles=styles, + ) - styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} - widget = await widgets.mod.add_custom_widget( - short_name="My widget", - text="# Hello world!", - css="/**/", - height=200, - image_data=image_dicts, - styles=styles, - ) - - assert isinstance(widget, CustomWidget) - assert widget.shortName == "My widget" - assert widget.text == "# Hello world!" - assert widget.css == "/**/" - assert widget.height == 200 - assert widget.styles == styles - assert len(widget.imageData) == 1 - assert all(isinstance(img, ImageData) for img in widget.imageData) - - # initially, image URLs are incorrect, so we much refresh to get - # the proper ones. - await widgets.refresh() - sidebar = await self.async_list(widgets.sidebar()) - refreshed = sidebar[-1] - assert refreshed == widget - widget = refreshed - - new_css = "h1,h2,h3,h4,h5,h6 {color: #00ff00;}" - widget = await widget.mod.update(css=new_css) - - assert isinstance(widget, CustomWidget) - assert widget.shortName == "My widget" - assert widget.text == "# Hello world!" - assert widget.css == new_css - assert widget.height == 200 - assert widget.styles == styles - assert len(widget.imageData) == 1 - assert all(isinstance(img, ImageData) for img in widget.imageData) - - await widget.mod.delete() - - async def test_custom_widget(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - custom = None - async for widget in widgets.sidebar(): - if isinstance(widget, CustomWidget): - custom = widget - break - assert isinstance(custom, CustomWidget) - assert len(custom.imageData) > 0 - assert all(isinstance(img_data, ImageData) for img_data in custom.imageData) - assert custom == custom - assert custom.id == custom - assert custom in await self.async_list(widgets.sidebar()) - - assert 500 >= custom.height >= 50 - assert custom.text - assert custom.css - assert custom.shortName - - assert subreddit == custom.subreddit + assert isinstance(widget, CustomWidget) + assert widget.shortName == "My widget" + assert widget.text == "# Hello world!" + assert widget.css == "/**/" + assert widget.height == 200 + assert widget.styles == styles + assert len(widget.imageData) == 1 + assert all(isinstance(img, ImageData) for img in widget.imageData) + + # initially, image URLs are incorrect, so we much refresh to get + # the proper ones. + await widgets.refresh() + sidebar = await self.async_list(widgets.sidebar()) + refreshed = sidebar[-1] + assert refreshed == widget + widget = refreshed + + new_css = "h1,h2,h3,h4,h5,h6 {color: #00ff00;}" + widget = await widget.mod.update(css=new_css) + + assert isinstance(widget, CustomWidget) + assert widget.shortName == "My widget" + assert widget.text == "# Hello world!" + assert widget.css == new_css + assert widget.height == 200 + assert widget.styles == styles + assert len(widget.imageData) == 1 + assert all(isinstance(img, ImageData) for img in widget.imageData) + + await widget.mod.delete() + + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_custom_widget(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + custom = None + async for widget in widgets.sidebar(): + if isinstance(widget, CustomWidget): + custom = widget + break + assert isinstance(custom, CustomWidget) + assert len(custom.imageData) > 0 + assert all(isinstance(img_data, ImageData) for img_data in custom.imageData) + assert custom == custom + assert custom.id == custom + assert custom in await self.async_list(widgets.sidebar()) + + assert 500 >= custom.height >= 50 + assert custom.text + assert custom.css + assert custom.shortName + + assert subreddit == custom.subreddit class TestIDCard(IntegrationTest): - async def test_id_card(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_id_card(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - card = await widgets.id_card() - assert isinstance(card, IDCard) - assert card == card - assert card.id == card + card = await widgets.id_card() + assert isinstance(card, IDCard) + assert card == card + assert card.id == card - assert card.shortName - assert card.currentlyViewingText - assert card.subscribersText + assert card.shortName + assert card.currentlyViewingText + assert card.subscribersText - assert subreddit == card.subreddit + assert subreddit == card.subreddit - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False + async def test_update(self, reddit): + reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette(): - id_card = await widgets.id_card() - assert id_card.currentlyViewingText != "Users here NOW!" - assert id_card.subscribersText != "Loyal readers" + id_card = await widgets.id_card() + assert id_card.currentlyViewingText != "Users here NOW!" + assert id_card.subscribersText != "Loyal readers" - await id_card.mod.update(currentlyViewingText="Users here NOW!") - await widgets.refresh() - id_card = await widgets.id_card() + await id_card.mod.update(currentlyViewingText="Users here NOW!") + await widgets.refresh() + id_card = await widgets.id_card() - assert id_card.currentlyViewingText == "Users here NOW!" - assert id_card.subscribersText != "Loyal readers" + assert id_card.currentlyViewingText == "Users here NOW!" + assert id_card.subscribersText != "Loyal readers" - await id_card.mod.update(subscribersText="Loyal readers") - await widgets.refresh() - id_card = await widgets.id_card() + await id_card.mod.update(subscribersText="Loyal readers") + await widgets.refresh() + id_card = await widgets.id_card() - assert id_card.currentlyViewingText == "Users here NOW!" - assert id_card.subscribersText == "Loyal readers" + assert id_card.currentlyViewingText == "Users here NOW!" + assert id_card.subscribersText == "Loyal readers" class TestImageWidget(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False + async def test_create_and_update_and_delete(self, reddit, image_path): + reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets + image_paths = (image_path(name) for name in ("test.jpg", "test.png")) + image_data = [ + { + "width": 10, + "height": 10, + "linkUrl": "", + "url": await widgets.mod.upload_image(img_path), + } + for img_path in image_paths + ] - with self.use_cassette(): - image_paths = (image_path(name) for name in ("test.jpg", "test.png")) - image_data = [ - { - "width": 10, - "height": 10, - "linkUrl": "", - "url": await widgets.mod.upload_image(img_path), - } - for img_path in image_paths - ] - - styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} - widget = await widgets.mod.add_image_widget( - short_name="My new pics!", data=image_data, styles=styles - ) + styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} + widget = await widgets.mod.add_image_widget( + short_name="My new pics!", data=image_data, styles=styles + ) - assert isinstance(widget, ImageWidget) - assert widget.shortName == "My new pics!" - assert widget.styles == styles - assert len(widget) == 2 - assert all(isinstance(img, Image) for img in widget) + assert isinstance(widget, ImageWidget) + assert widget.shortName == "My new pics!" + assert widget.styles == styles + assert len(widget) == 2 + assert all(isinstance(img, Image) for img in widget) - widget = await widget.mod.update( - shortName="My old pics :(", data=image_data[:1] - ) + widget = await widget.mod.update( + shortName="My old pics :(", data=image_data[:1] + ) - assert isinstance(widget, ImageWidget) - assert widget.shortName == "My old pics :(" - assert widget.styles == styles - assert len(widget) == 1 - assert all(isinstance(img, Image) for img in widget) + assert isinstance(widget, ImageWidget) + assert widget.shortName == "My old pics :(" + assert widget.styles == styles + assert len(widget) == 1 + assert all(isinstance(img, Image) for img in widget) - await widget.mod.delete() + await widget.mod.delete() - async def test_image_widget(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_image_widget(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - img_widget = None - async for widget in widgets.sidebar(): - if isinstance(widget, ImageWidget): - img_widget = widget - break - assert isinstance(img_widget, ImageWidget) - assert len(img_widget) >= 1 - assert all(isinstance(image, Image) for image in img_widget) - assert img_widget == img_widget - assert img_widget.id == img_widget - assert img_widget in await self.async_list(widgets.sidebar()) + img_widget = None + async for widget in widgets.sidebar(): + if isinstance(widget, ImageWidget): + img_widget = widget + break + assert isinstance(img_widget, ImageWidget) + assert len(img_widget) >= 1 + assert all(isinstance(image, Image) for image in img_widget) + assert img_widget == img_widget + assert img_widget.id == img_widget + assert img_widget in await self.async_list(widgets.sidebar()) - assert img_widget[0].linkUrl - assert img_widget.shortName + assert img_widget[0].linkUrl + assert img_widget.shortName - assert subreddit == img_widget.subreddit + assert subreddit == img_widget.subreddit class TestMenu(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False + async def test_create_and_update_and_delete(self, reddit): + reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets menu_contents = [ @@ -520,252 +489,243 @@ async def test_create_and_update_and_delete(self, _): }, {"text": "Reddit homepage", "url": "https://reddit.com"}, ] + widget = await widgets.mod.add_menu(data=menu_contents) + + assert isinstance(widget, Menu) + assert len(widget) == 3 + assert all(isinstance(item, (Submenu, MenuLink)) for item in widget) + assert all( + all(isinstance(item, MenuLink) for item in subm) + for subm in widget + if isinstance(subm, Submenu) + ) - with self.use_cassette(): - widget = await widgets.mod.add_menu(data=menu_contents) - - assert isinstance(widget, Menu) - assert len(widget) == 3 - assert all(isinstance(item, (Submenu, MenuLink)) for item in widget) - assert all( - all(isinstance(item, MenuLink) for item in subm) - for subm in widget - if isinstance(subm, Submenu) - ) - - assert widget[0].text == "My homepage" - assert widget[0].url == "https://example.com" - assert widget[2].text == "Reddit homepage" - assert widget[2].url == "https://reddit.com" - - assert widget[1].text == "Python packages" - assert widget[1][0].text == "PRAW" - assert widget[1][0].url == "https://asyncpraw.readthedocs.io/" - assert widget[1][1].text == "requests" - assert widget[1][1].url == "http://python-requests.org" - - menu_contents.reverse() - widget = await widget.mod.update(data=menu_contents) - - assert isinstance(widget, Menu) - assert len(widget) == 3 - assert all(isinstance(item, (Submenu, MenuLink)) for item in widget) - assert all( - all(isinstance(item, MenuLink) for item in subm) - for subm in widget - if isinstance(subm, Submenu) - ) - - assert widget[0].text == "Reddit homepage" - assert widget[0].url == "https://reddit.com" - assert widget[2].text == "My homepage" - assert widget[2].url == "https://example.com" - - assert widget[1].text == "Python packages" - assert widget[1][0].text == "PRAW" - assert widget[1][0].url == "https://asyncpraw.readthedocs.io/" - assert widget[1][1].text == "requests" - assert widget[1][1].url == "http://python-requests.org" - - await widget.mod.delete() - - async def test_menu(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - menu = None - async for widget in widgets.topbar(): - if isinstance(widget, Menu): - menu = widget - break - assert isinstance(menu, Menu) - assert all(isinstance(item, (MenuLink, Submenu)) for item in menu) - assert menu == menu - assert menu.id == menu - assert menu in await self.async_list(widgets.topbar()) - assert len(menu) >= 1 - assert menu[0].text - - assert subreddit == menu.subreddit - - submenu = None - for child in menu: - if isinstance(child, Submenu): - submenu = child - break - assert isinstance(submenu, Submenu) - assert len(submenu) >= 0 - assert all(isinstance(child, MenuLink) for child in submenu) - assert submenu[0].text - assert submenu[0].url + assert widget[0].text == "My homepage" + assert widget[0].url == "https://example.com" + assert widget[2].text == "Reddit homepage" + assert widget[2].url == "https://reddit.com" + + assert widget[1].text == "Python packages" + assert widget[1][0].text == "PRAW" + assert widget[1][0].url == "https://asyncpraw.readthedocs.io/" + assert widget[1][1].text == "requests" + assert widget[1][1].url == "http://python-requests.org" + + menu_contents.reverse() + widget = await widget.mod.update(data=menu_contents) + + assert isinstance(widget, Menu) + assert len(widget) == 3 + assert all(isinstance(item, (Submenu, MenuLink)) for item in widget) + assert all( + all(isinstance(item, MenuLink) for item in subm) + for subm in widget + if isinstance(subm, Submenu) + ) + + assert widget[0].text == "Reddit homepage" + assert widget[0].url == "https://reddit.com" + assert widget[2].text == "My homepage" + assert widget[2].url == "https://example.com" + + assert widget[1].text == "Python packages" + assert widget[1][0].text == "PRAW" + assert widget[1][0].url == "https://asyncpraw.readthedocs.io/" + assert widget[1][1].text == "requests" + assert widget[1][1].url == "http://python-requests.org" + + await widget.mod.delete() + + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_menu(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + menu = None + async for widget in widgets.topbar(): + if isinstance(widget, Menu): + menu = widget + break + assert isinstance(menu, Menu) + assert all(isinstance(item, (MenuLink, Submenu)) for item in menu) + assert menu == menu + assert menu.id == menu + assert menu in await self.async_list(widgets.topbar()) + assert len(menu) >= 1 + assert menu[0].text + + assert subreddit == menu.subreddit + + submenu = None + for child in menu: + if isinstance(child, Submenu): + submenu = child + break + assert isinstance(submenu, Submenu) + assert len(submenu) >= 0 + assert all(isinstance(child, MenuLink) for child in submenu) + assert submenu[0].text + assert submenu[0].url class TestModeratorsWidget(IntegrationTest): - async def test_moderators_widget(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_moderators_widget(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - mods = await widgets.moderators_widget() - assert isinstance(mods, ModeratorsWidget) - assert all(isinstance(mod, Redditor) for mod in mods) - assert mods == mods - assert mods.id == mods + mods = await widgets.moderators_widget() + assert isinstance(mods, ModeratorsWidget) + assert all(isinstance(mod, Redditor) for mod in mods) + assert mods == mods + assert mods.id == mods - assert len(mods) >= 1 - assert isinstance(mods[0], Redditor) + assert len(mods) >= 1 + assert isinstance(mods[0], Redditor) - assert subreddit == mods.subreddit + assert subreddit == mods.subreddit - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False + async def test_update(self, reddit): + reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets new_styles = {"backgroundColor": "#bababa", "headerColor": "#407bee"} - with self.use_cassette(): - mod_widget = await widgets.moderators_widget() - assert mod_widget.styles != new_styles - await mod_widget.mod.update(styles=new_styles) - await widgets.refresh() - mod_widget = await widgets.moderators_widget() + mod_widget = await widgets.moderators_widget() + assert mod_widget.styles != new_styles + await mod_widget.mod.update(styles=new_styles) + await widgets.refresh() + mod_widget = await widgets.moderators_widget() - assert mod_widget.styles == new_styles + assert mod_widget.styles == new_styles class TestPostFlairWidget(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False - - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets + async def test_create_and_update_and_delete(self, reddit): + reddit.read_only = False - with self.use_cassette(): - flairs = [f["id"] async for f in subreddit.flair.link_templates][:30] - - styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} - widget = await widgets.mod.add_post_flair_widget( - display="Some flairs", order="list", short_name=flairs, styles=styles - ) - - assert isinstance(widget, PostFlairWidget) - assert widget.shortName == "Some flairs" - assert widget.display == "list" - assert widget.order == flairs - assert widget.styles == styles - assert len(widget) == len(flairs) - assert all(flair_id in widget.templates for flair_id in widget) - - widget = await widget.mod.update(display="cloud") - - assert isinstance(widget, PostFlairWidget) - assert widget.shortName == "Some flairs" - assert widget.display == "cloud" - assert widget.order == flairs - assert widget.styles == styles - assert len(widget) == len(flairs) - assert all(flair_id in widget.templates for flair_id in widget) - - widget = await widget.mod.update(order=widget.order[:1]) - - assert isinstance(widget, PostFlairWidget) - assert widget.shortName == "Some flairs" - assert widget.display == "cloud" - assert widget.order == flairs[:1] - assert widget.styles == styles - assert len(widget) == 1 - assert all(flair_id in widget.templates for flair_id in widget) - - await widget.mod.delete() - - async def test_post_flair_widget(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - pf_widget = None - async for widget in widgets.sidebar(): - if isinstance(widget, PostFlairWidget): - pf_widget = widget - break - assert isinstance(pf_widget, PostFlairWidget) - assert len(pf_widget) >= 1 - assert all(flair_id in widget.templates for flair_id in widget) - assert pf_widget == pf_widget - assert pf_widget.id == pf_widget - assert pf_widget in await self.async_list(widgets.sidebar()) + flairs = [f["id"] async for f in subreddit.flair.link_templates][:30] - assert pf_widget.shortName - assert all(flair in pf_widget for flair in pf_widget) + styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} + widget = await widgets.mod.add_post_flair_widget( + display="Some flairs", order="list", short_name=flairs, styles=styles + ) - assert subreddit == pf_widget.subreddit + assert isinstance(widget, PostFlairWidget) + assert widget.shortName == "Some flairs" + assert widget.display == "list" + assert widget.order == flairs + assert widget.styles == styles + assert len(widget) == len(flairs) + assert all(flair_id in widget.templates for flair_id in widget) + + widget = await widget.mod.update(display="cloud") + + assert isinstance(widget, PostFlairWidget) + assert widget.shortName == "Some flairs" + assert widget.display == "cloud" + assert widget.order == flairs + assert widget.styles == styles + assert len(widget) == len(flairs) + assert all(flair_id in widget.templates for flair_id in widget) + + widget = await widget.mod.update(order=widget.order[:1]) + + assert isinstance(widget, PostFlairWidget) + assert widget.shortName == "Some flairs" + assert widget.display == "cloud" + assert widget.order == flairs[:1] + assert widget.styles == styles + assert len(widget) == 1 + assert all(flair_id in widget.templates for flair_id in widget) + + await widget.mod.delete() + + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_post_flair_widget(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + pf_widget = None + async for widget in widgets.sidebar(): + if isinstance(widget, PostFlairWidget): + pf_widget = widget + break + assert isinstance(pf_widget, PostFlairWidget) + assert len(pf_widget) >= 1 + assert all(flair_id in widget.templates for flair_id in widget) + assert pf_widget == pf_widget + assert pf_widget.id == pf_widget + assert pf_widget in await self.async_list(widgets.sidebar()) + + assert pf_widget.shortName + assert all(flair in pf_widget for flair in pf_widget) + + assert subreddit == pf_widget.subreddit class TestRulesWidget(IntegrationTest): - async def test_rules_widget(self): + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_rules_widget(self, reddit): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - rules = None - async for widget in widgets.sidebar(): - if isinstance(widget, RulesWidget): - rules = widget - break - assert isinstance(rules, RulesWidget) - assert rules == rules - assert rules.id == rules - - assert rules.display - - assert len(rules) > 0 - assert subreddit == rules.subreddit - - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): - self.reddit.read_only = False - - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - new_styles = {"backgroundColor": "#fedcba", "headerColor": "#012345"} - with self.use_cassette(): - rules = None - async for widget in widgets.sidebar(): - if isinstance(widget, RulesWidget): - rules = widget - break - assert isinstance(rules, RulesWidget) + rules = None + async for widget in widgets.sidebar(): + if isinstance(widget, RulesWidget): + rules = widget + break + assert isinstance(rules, RulesWidget) + assert rules == rules + assert rules.id == rules + + assert rules.display - assert rules.shortName != "Our regulations" - assert rules.styles != new_styles + assert len(rules) > 0 + assert subreddit == rules.subreddit - rules = await rules.mod.update( - display="compact", - shortName="Our regulations", - styles=new_styles, - ) + async def test_update(self, reddit): + reddit.read_only = False - assert rules.display == "compact" - assert rules.shortName == "Our regulations" - assert rules.styles == new_styles + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + new_styles = {"backgroundColor": "#fedcba", "headerColor": "#012345"} + rules = None + async for widget in widgets.sidebar(): + if isinstance(widget, RulesWidget): + rules = widget + break + assert isinstance(rules, RulesWidget) + + assert rules.shortName != "Our regulations" + assert rules.styles != new_styles + + rules = await rules.mod.update( + display="compact", + shortName="Our regulations", + styles=new_styles, + ) + + assert rules.display == "compact" + assert rules.shortName == "Our regulations" + assert rules.styles == new_styles class TestSubredditWidgets(IntegrationTest): - async def test_bad_attribute(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_bad_attribute(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - with pytest.raises(AttributeError): - widgets.nonexistant_attribute + with pytest.raises(AttributeError): + widgets.nonexistant_attribute - async def test_items(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_items(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - assert isinstance(await widgets.items(), dict) + assert isinstance(await widgets.items(), dict) - # async def test_progressive_images(self): # FIXME: not currently working; same with praw - # subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + # async def test_progressive_images(self, reddit): # FIXME: not currently working; same with praw + # subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) # widgets = subreddit.widgets # # async def has_progressive(widgets_): @@ -794,161 +754,137 @@ async def test_items(self): # await widgets.refresh() # assert await has_progressive(widgets) - async def test_refresh(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with self.use_cassette(): - assert await self.async_list(widgets.sidebar()) # to fetch - old_sidebar = await self.async_list( - widgets.sidebar() - ) # reference, not value - await widgets.refresh() - new_sidebar = await self.async_list(widgets.sidebar()) - assert old_sidebar is not new_sidebar # should be new list - - async def test_repr(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_refresh(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - assert ( - f"SubredditWidgets(subreddit=Subreddit(display_name='{pytest.placeholders.test_subreddit}'))" - == repr(widgets) - ) + assert await self.async_list(widgets.sidebar()) # to fetch + old_sidebar = await self.async_list(widgets.sidebar()) # reference, not value + await widgets.refresh() + new_sidebar = await self.async_list(widgets.sidebar()) + assert old_sidebar is not new_sidebar # should be new list - async def test_sidebar(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_sidebar(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - sidebar = [ - isinstance(widget, Widget) and type(widget) != Widget - async for widget in widgets.sidebar() - ] - assert all(sidebar) + sidebar = [ + isinstance(widget, Widget) and type(widget) != Widget + async for widget in widgets.sidebar() + ] + assert all(sidebar) - async def test_specials(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_specials(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette(): - assert isinstance(await widgets.id_card(), IDCard) - assert isinstance(await widgets.moderators_widget(), ModeratorsWidget) + assert isinstance(await widgets.id_card(), IDCard) + assert isinstance(await widgets.moderators_widget(), ModeratorsWidget) - async def test_topbar(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_topbar(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette(): - assert 1 <= len(await self.async_list(widgets.topbar())) - assert all( - [ - isinstance(widget, Widget) and type(widget) != Widget - async for widget in widgets.topbar() - ] - ) + assert 1 <= len(await self.async_list(widgets.topbar())) + assert all( + [ + isinstance(widget, Widget) and type(widget) != Widget + async for widget in widgets.topbar() + ] + ) class TestSubredditWidgetsModeration(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_reorder(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_reorder(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets + old_order = await self.async_list(widgets.sidebar()) + new_order = list(reversed(old_order)) - with self.use_cassette(): - old_order = await self.async_list(widgets.sidebar()) - new_order = list(reversed(old_order)) + await widgets.mod.reorder(new_order) + await widgets.refresh() + order = await self.async_list(widgets.sidebar()) + assert order == new_order - await widgets.mod.reorder(new_order) - await widgets.refresh() - order = await self.async_list(widgets.sidebar()) - assert order == new_order + old_order = await self.async_list(widgets.sidebar()) + new_order = list(reversed(old_order)) - old_order = await self.async_list(widgets.sidebar()) - new_order = list(reversed(old_order)) + await widgets.mod.reorder(new_order) + await widgets.refresh() + order = await self.async_list(widgets.sidebar()) + assert order == new_order - await widgets.mod.reorder(new_order) - await widgets.refresh() - order = await self.async_list(widgets.sidebar()) - assert order == new_order + mixed_types = [ + thing if i % 2 == 0 else thing.id for i, thing in enumerate(new_order) + ] + # mixed_types has some str and some Widget. + assert any(isinstance(thing, str) for thing in mixed_types) + assert any(isinstance(thing, Widget) for thing in mixed_types) - mixed_types = [ - thing if i % 2 == 0 else thing.id for i, thing in enumerate(new_order) - ] - # mixed_types has some str and some Widget. - assert any(isinstance(thing, str) for thing in mixed_types) - assert any(isinstance(thing, Widget) for thing in mixed_types) - - await widgets.mod.reorder(mixed_types) - await widgets.refresh() - order = await self.async_list(widgets.sidebar()) - assert order == new_order - - @mock.patch("asyncio.sleep", return_value=None) - async def test_upload_image(self, _): - self.reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets + await widgets.mod.reorder(mixed_types) + await widgets.refresh() + order = await self.async_list(widgets.sidebar()) + assert order == new_order - with self.use_cassette(): - for image in ("test.jpg", "test.png"): - image_url = await widgets.mod.upload_image(image_path(image)) - assert image_url + async def test_upload_image(self, reddit, image_path): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + for image in ("test.jpg", "test.png"): + image_url = await widgets.mod.upload_image(image_path(image)) + assert image_url class TestTextArea(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_create_and_update_and_delete(self, _): - self.reddit.read_only = False + async def test_create_and_update_and_delete(self, reddit): + reddit.read_only = False - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets + styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} + widget = await widgets.mod.add_text_area( + short_name="My new widget!", text="Hello world!", styles=styles + ) - with self.use_cassette(): - styles = {"headerColor": "#123456", "backgroundColor": "#bb0e00"} - widget = await widgets.mod.add_text_area( - short_name="My new widget!", text="Hello world!", styles=styles - ) - - assert isinstance(widget, TextArea) - assert widget.shortName == "My new widget!" - assert widget.styles == styles - assert widget.text == "Hello world!" + assert isinstance(widget, TextArea) + assert widget.shortName == "My new widget!" + assert widget.styles == styles + assert widget.text == "Hello world!" - widget = await widget.mod.update( - shortName="My old widget :(", text="Feed me" - ) + widget = await widget.mod.update(shortName="My old widget :(", text="Feed me") - assert isinstance(widget, TextArea) - assert widget.shortName == "My old widget :(" - assert widget.styles == styles - assert widget.text == "Feed me" + assert isinstance(widget, TextArea) + assert widget.shortName == "My old widget :(" + assert widget.styles == styles + assert widget.text == "Feed me" - await widget.mod.delete() + await widget.mod.delete() - async def test_text_area(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_text_area(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - text = None - async for widget in widgets.sidebar(): - if isinstance(widget, TextArea): - text = widget - break - assert isinstance(text, TextArea) - assert text == text - assert text.id == text - side_bar = await self.async_list(widgets.sidebar()) - assert text in side_bar + text = None + async for widget in widgets.sidebar(): + if isinstance(widget, TextArea): + text = widget + break + assert isinstance(text, TextArea) + assert text == text + assert text.id == text + side_bar = await self.async_list(widgets.sidebar()) + assert text in side_bar - assert text.shortName - assert text.text + assert text.shortName + assert text.text - assert subreddit == text.subreddit + assert subreddit == text.subreddit class TestWidget(IntegrationTest): - async def test_inequality(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") + async def test_inequality(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) widgets = subreddit.widgets - with self.use_cassette("TestSubredditWidgets.fetch_widgets"): - sidebar = await self.async_list(widgets.sidebar()) - assert len(sidebar) >= 2 + sidebar = await self.async_list(widgets.sidebar()) + assert len(sidebar) >= 2 assert sidebar[0] != sidebar[1] assert sidebar[0] != sidebar[1].id diff --git a/tests/integration/models/reddit/test_wikipage.py b/tests/integration/models/reddit/test_wikipage.py index 44f774554..6551b6f86 100644 --- a/tests/integration/models/reddit/test_wikipage.py +++ b/tests/integration/models/reddit/test_wikipage.py @@ -1,14 +1,8 @@ -import sys from base64 import urlsafe_b64encode import pytest from asyncprawcore import Forbidden, NotFound -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import RedditAPIException from asyncpraw.models import Redditor, WikiPage @@ -16,195 +10,161 @@ class TestWikiPage(IntegrationTest): - async def test_content_md(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - with self.use_cassette(): - page = await subreddit.wiki.get_page("test") - assert page.content_md - - async def test_content_md__invalid_name(self): - subreddit = await self.reddit.subreddit("reddit.com") - page = WikiPage(self.reddit, subreddit, "\\A") - - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await page._fetch() - assert str(excinfo.value) == "INVALID_PAGE_NAME" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_discussions(self, _): - subreddit = await self.reddit.subreddit("reddit.com") + async def test_content_md(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + page = await subreddit.wiki.get_page("test") + assert page.content_md + + async def test_content_md__invalid_name(self, reddit): + subreddit = await reddit.subreddit("reddit.com") + page = WikiPage(reddit, subreddit, "\\A") + with pytest.raises(RedditAPIException) as excinfo: + await page._fetch() + assert str(excinfo.value) == "INVALID_PAGE_NAME" + + async def test_discussions(self, reddit): + subreddit = await reddit.subreddit("reddit.com") + page = await subreddit.wiki.get_page("search") + assert await self.async_list(page.discussions()) + + async def test_edit(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + + reddit.read_only = False + page = await subreddit.wiki.get_page("test") + await page.edit(content="PRAW updated") + + async def test_edit__usernotes(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + page = WikiPage(reddit, subreddit, "usernotes") + with open("tests/integration/files/too_large.jpg", "rb") as fp: + large_content = urlsafe_b64encode(fp.read()).decode() - with self.use_cassette(): - page = await subreddit.wiki.get_page("search") - assert await self.async_list(page.discussions()) + reddit.read_only = False + await page.edit(content=large_content) - async def test_edit(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_edit__with_reason(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) - self.reddit.read_only = False - with self.use_cassette(): - page = await subreddit.wiki.get_page("test") - await page.edit(content="PRAW updated") + reddit.read_only = False + page = await subreddit.wiki.get_page("test") + await page.edit(content="PRAW updated with reason", reason="PRAW testing") - async def test_edit__usernotes(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - page = WikiPage(self.reddit, subreddit, "usernotes") - with open("tests/integration/files/too_large.jpg", "rb") as fp: - large_content = urlsafe_b64encode(fp.read()).decode() + async def test_init__with_revision(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + page = WikiPage( + reddit, + subreddit, + "index", + revision="08a4ddfa-c000-11ea-999f-0e1fd5dedea1", + ) + await page.load() + assert isinstance(page.revision_by, Redditor) + assert page.revision_date == 1594091696 - self.reddit.read_only = False - with self.use_cassette(): - await page.edit(content=large_content) - - async def test_edit__with_reason(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - self.reddit.read_only = False - with self.use_cassette(): - page = await subreddit.wiki.get_page("test") - await page.edit(content="PRAW updated with reason", reason="PRAW testing") - - async def test_init__with_revision(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - page = WikiPage( - self.reddit, - subreddit, - "index", - revision="08a4ddfa-c000-11ea-999f-0e1fd5dedea1", - ) - await page.load() - assert isinstance(page.revision_by, Redditor) - assert page.revision_date == 1594091696 - - async def test_init__with_revision__author_deleted(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_init__with_revision__author_deleted(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) page = WikiPage( - self.reddit, + reddit, subreddit, "config/stylesheet", revision="75390fec-8b8f-11e8-8a49-0edb077d29ac", ) - with self.use_cassette(): - await page.load() - assert page.revision_by is None - - async def test_invalid_page(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - with self.use_cassette(): - with pytest.raises(NotFound): - await subreddit.wiki.get_page("invalid") + await page.load() + assert page.revision_by is None - async def test_revision_by(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_invalid_page(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + with pytest.raises(NotFound): + await subreddit.wiki.get_page("invalid") - with self.use_cassette(): - page = await subreddit.wiki.get_page("index") - assert isinstance(page.revision_by, Redditor) + async def test_revision_by(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + page = await subreddit.wiki.get_page("index") + assert isinstance(page.revision_by, Redditor) - async def test_revision(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_revision(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) revision_id = "08a4ddfa-c000-11ea-999f-0e1fd5dedea1" - - with self.use_cassette(): - page = await subreddit.wiki.get_page("index") - revision = await page.revision(revision_id) - assert len(revision.content_md) > 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_revisions(self, _): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - with self.use_cassette(): - count = 0 - page = await subreddit.wiki.get_page("index") - async for revision in page.revisions(limit=None): - count += 1 - assert isinstance(revision["author"], Redditor) - assert isinstance(revision["page"], WikiPage) - assert count > 0 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_revisions__author_deleted(self, _): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - with self.use_cassette(): - page = await subreddit.wiki.get_page("config/submit_text") - assert any( - [ - revision["author"] is None - async for revision in page.revisions(limit=10) - ] - ) + page = await subreddit.wiki.get_page("index") + revision = await page.revision(revision_id) + assert len(revision.content_md) > 0 + + async def test_revisions(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + count = 0 + page = await subreddit.wiki.get_page("index") + async for revision in page.revisions(limit=None): + count += 1 + assert isinstance(revision["author"], Redditor) + assert isinstance(revision["page"], WikiPage) + assert count > 0 + + async def test_revisions__author_deleted(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + page = await subreddit.wiki.get_page("config/submit_text") + assert any( + [revision["author"] is None async for revision in page.revisions(limit=10)] + ) class TestWikiPageModeration(IntegrationTest): - async def test_add(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - self.reddit.read_only = False - with self.use_cassette(): - page = await subreddit.wiki.get_page("index") - await page.mod.add("Lil_SpazTest") - - async def test_remove(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - self.reddit.read_only = False - with self.use_cassette(): - page = await subreddit.wiki.get_page("index") - await page.mod.remove("Lil_SpazTest") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_revert(self, _): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - page = WikiPage(self.reddit, subreddit, "test") - - self.reddit.read_only = False - with self.use_cassette(): - revision_id = (await self.async_next(page.revisions(limit=1)))["id"] + async def test_add(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + + reddit.read_only = False + page = await subreddit.wiki.get_page("index") + await page.mod.add("Lil_SpazTest") + + async def test_remove(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + + reddit.read_only = False + page = await subreddit.wiki.get_page("index") + await page.mod.remove("Lil_SpazTest") + + async def test_revert(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + page = WikiPage(reddit, subreddit, "test") + + reddit.read_only = False + revision_id = (await self.async_next(page.revisions(limit=1)))["id"] + revision = await page.revision(revision_id) + await revision.mod.revert() + + async def test_revert_css_fail(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + + reddit.read_only = False + page = await subreddit.wiki.get_page("config/stylesheet") + await subreddit.stylesheet.upload( + name="css-revert-fail", + image_path="tests/integration/files/icon.jpg", + ) + await page.edit(content="div {background: url(%%css-revert-fail%%)}") + revision_id = (await self.async_next(page.revisions(limit=1)))["id"] + await subreddit.stylesheet.delete_image("css-revert-fail") + with pytest.raises(Forbidden) as exc: revision = await page.revision(revision_id) await revision.mod.revert() - - @mock.patch("asyncio.sleep", return_value=None) - async def test_revert_css_fail(self, _): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - self.reddit.read_only = False - with self.use_cassette(): - page = await subreddit.wiki.get_page("config/stylesheet") - await subreddit.stylesheet.upload( - name="css-revert-fail", - image_path="tests/integration/files/icon.jpg", - ) - await page.edit(content="div {background: url(%%css-revert-fail%%)}") - revision_id = (await self.async_next(page.revisions(limit=1)))["id"] - await subreddit.stylesheet.delete_image("css-revert-fail") - with pytest.raises(Forbidden) as exc: - revision = await page.revision(revision_id) - await revision.mod.revert() - assert await exc.value.response.json() == { - "reason": "INVALID_CSS", - "message": "Forbidden", - "explanation": "%(css_error)s", - } - - async def test_settings(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - - self.reddit.read_only = False - with self.use_cassette(): - page = await subreddit.wiki.get_page("index") - settings = await page.mod.settings() + assert await exc.value.response.json() == { + "reason": "INVALID_CSS", + "message": "Forbidden", + "explanation": "%(css_error)s", + } + + async def test_settings(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + + reddit.read_only = False + page = await subreddit.wiki.get_page("index") + settings = await page.mod.settings() assert {"editors": [], "listed": True, "permlevel": 0} == settings - async def test_update(self): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + async def test_update(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) - self.reddit.read_only = False - with self.use_cassette(): - page = await subreddit.wiki.get_page("index") - updated = await page.mod.update(listed=False, permlevel=1) + reddit.read_only = False + page = await subreddit.wiki.get_page("index") + updated = await page.mod.update(listed=False, permlevel=1) assert {"editors": [], "listed": False, "permlevel": 1} == updated diff --git a/tests/integration/models/test_auth.py b/tests/integration/models/test_auth.py index ab9864bfd..f0007849e 100644 --- a/tests/integration/models/test_auth.py +++ b/tests/integration/models/test_auth.py @@ -8,52 +8,49 @@ class TestAuthScript(IntegrationTest): - async def test_scopes(self): - with self.use_cassette(): - assert self.reddit.read_only is True - assert await self.reddit.auth.scopes() == {"*"} + async def test_scopes(self, reddit): + assert reddit.read_only is True + assert await reddit.auth.scopes() == {"*"} class TestAuthWeb(IntegrationTest): - def setup_reddit(self): - self.reddit = Reddit( + @pytest.fixture + async def reddit(self): + async with Reddit( client_id=pytest.placeholders.client_id, client_secret=pytest.placeholders.client_secret, redirect_uri=pytest.placeholders.redirect_uri, user_agent=pytest.placeholders.user_agent, username=None, - ) + ) as reddit: + yield reddit - async def test_authorize(self): - with self.use_cassette(): - token = await self.reddit.auth.authorize(pytest.placeholders.auth_code) - assert isinstance(token, str) - assert self.reddit.read_only is False - assert await self.reddit.auth.scopes() == {"submit"} + async def test_authorize(self, reddit): + token = await reddit.auth.authorize(pytest.placeholders.auth_code) + assert isinstance(token, str) + assert reddit.read_only is False + assert await reddit.auth.scopes() == {"submit"} - async def test_scopes__read_only(self): - with self.use_cassette(): - assert self.reddit.read_only is True - assert await self.reddit.auth.scopes() == {"*"} + async def test_scopes__read_only(self, reddit): + assert reddit.read_only is True + assert await reddit.auth.scopes() == {"*"} class TestAuthImplicit(IntegrationTest): - def setup_reddit(self): - self.reddit = Reddit( + @pytest.fixture + async def reddit(self): + async with Reddit( client_id=pytest.placeholders.client_id, client_secret=None, user_agent=pytest.placeholders.user_agent, - ) - - async def test_implicit__with_invalid_token(self): - self.reddit.auth.implicit( - access_token="invalid_token", expires_in=10, scope="read" - ) - with self.use_cassette(): - with pytest.raises(InvalidToken): - await self.reddit.user.me() - - async def test_scopes__read_only(self): - with self.use_cassette(): - assert self.reddit.read_only is True - assert await self.reddit.auth.scopes() == {"*"} + ) as reddit: + yield reddit + + async def test_implicit__with_invalid_token(self, reddit): + reddit.auth.implicit(access_token="invalid_token", expires_in=10, scope="read") + with pytest.raises(InvalidToken): + await reddit.user.me() + + async def test_scopes__read_only(self, reddit): + assert reddit.read_only is True + assert await reddit.auth.scopes() == {"*"} diff --git a/tests/integration/models/test_comment_forest.py b/tests/integration/models/test_comment_forest.py index aa7669673..fd4e271ca 100644 --- a/tests/integration/models/test_comment_forest.py +++ b/tests/integration/models/test_comment_forest.py @@ -1,13 +1,7 @@ """Test asyncpraw.models.comment_forest.""" -import sys import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import DuplicateReplaceException from asyncpraw.models import Comment, MoreComments @@ -15,102 +9,83 @@ class TestCommentForest(IntegrationTest): - def setUp(self): - super().setUp() - # Responses do not decode well on travis so manually re-enable gzip. - self.reddit._core._requestor._http._default_headers["Accept-Encoding"] = "gzip" - - async def test_replace__all(self): - with self.use_cassette(): - submission = await self.reddit.submission("3hahrw") - before_count = len(submission.comments.list()) - skipped = await submission.comments.replace_more(limit=None, threshold=0) - assert len(skipped) == 0 - assert all(isinstance(x, Comment) for x in submission.comments.list()) - assert all(x.submission == submission for x in submission.comments.list()) - assert before_count < len(submission.comments.list()) - - async def test_replace__all_large(self): - with self.use_cassette(): - submission = await self.reddit.submission("n49rw") - skipped = await submission.comments.replace_more(limit=None, threshold=0) - assert len(skipped) == 0 - assert all(isinstance(x, Comment) for x in submission.comments.list()) - assert len(submission.comments.list()) > 1000 - assert len(submission.comments.list()) == len(submission._comments_by_id) - - async def test_replace__all_with_comment_limit(self): - with self.use_cassette(): - submission = await self.reddit.submission("3hahrw") - submission.comment_limit = 10 - skipped = await submission.comments.replace_more(limit=None, threshold=0) - assert len(skipped) == 0 - assert len(submission.comments.list()) >= 500 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_replace__all_with_comment_sort(self, _): - with self.use_cassette(): - submission = await self.reddit.submission("3hahrw", fetch=False) - submission.comment_sort = "old" - await submission.load() - skipped = await submission.comments.replace_more(limit=None, threshold=0) - assert len(skipped) == 0 - assert len(submission.comments.list()) >= 500 - - async def test_replace__skip_at_limit(self): - with self.use_cassette(): - submission = await self.reddit.submission("3hahrw") - skipped = await submission.comments.replace_more(limit=1) - assert len(skipped) == 5 - - # def test_replace__skip_below_threshold(self): # FIXME: not currently working; same with praw - # with self.use_cassette(): - # submission = await self.reddit.submission("3hahrw") - # before_count = len(submission.comments.list()) - # skipped = submission.comments.replace_more(limit=16, threshold=5) - # assert len(skipped) == 13 - # assert all(x.count < 5 for x in skipped) - # assert all(x.submission == submission for x in skipped) - # assert before_count < len(submission.comments.list()) - - async def test_replace__skip_all(self): - with self.use_cassette(): - submission = await self.reddit.submission("3hahrw") - before_count = len(submission.comments.list()) - skipped = await submission.comments.replace_more(limit=0) - assert len(skipped) == 6 - assert all(x.submission == submission for x in skipped) - after_count = len(submission.comments.list()) - assert before_count == after_count + len(skipped) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_replace__on_comment_from_submission(self, _): - with self.use_cassette(): - submission = await self.reddit.submission("3hahrw") - types = [type(x) for x in submission.comments.list()] - assert types.count(Comment) == 527 - assert types.count(MoreComments) == 6 - assert (await submission.comments[0].replies.replace_more()) == [] - types = [type(x) for x in submission.comments.list()] - assert types.count(Comment) == 531 - assert types.count(MoreComments) == 3 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_replace__on_direct_comment(self, _): - with self.use_cassette(): - comment = await self.reddit.comment("d8r4im1", fetch=False) - await comment.refresh() - assert any(isinstance(x, MoreComments) for x in comment.replies.list()) - await comment.replies.replace_more() - assert all(isinstance(x, Comment) for x in comment.replies.list()) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_comment_forest_refresh_error(self, _): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.async_next(self.reddit.front.top()) - submission.comment_limit = 1 - await submission.load() - await submission.comments[1].comments() - with pytest.raises(DuplicateReplaceException): - await submission.comments.replace_more(limit=1) + async def test_replace__all(self, reddit): + submission = await reddit.submission("3hahrw") + before_count = len(submission.comments.list()) + skipped = await submission.comments.replace_more(limit=None, threshold=0) + assert len(skipped) == 0 + assert all(isinstance(x, Comment) for x in submission.comments.list()) + assert all(x.submission == submission for x in submission.comments.list()) + assert before_count < len(submission.comments.list()) + + async def test_replace__all_large(self, reddit): + submission = await reddit.submission("n49rw") + skipped = await submission.comments.replace_more(limit=None, threshold=0) + assert len(skipped) == 0 + assert all(isinstance(x, Comment) for x in submission.comments.list()) + assert len(submission.comments.list()) > 1000 + assert len(submission.comments.list()) == len(submission._comments_by_id) + + async def test_replace__all_with_comment_limit(self, reddit): + submission = await reddit.submission("3hahrw") + submission.comment_limit = 10 + skipped = await submission.comments.replace_more(limit=None, threshold=0) + assert len(skipped) == 0 + assert len(submission.comments.list()) >= 500 + + async def test_replace__all_with_comment_sort(self, reddit): + submission = await reddit.submission("3hahrw", fetch=False) + submission.comment_sort = "old" + await submission.load() + skipped = await submission.comments.replace_more(limit=None, threshold=0) + assert len(skipped) == 0 + assert len(submission.comments.list()) >= 500 + + async def test_replace__skip_at_limit(self, reddit): + submission = await reddit.submission("3hahrw") + skipped = await submission.comments.replace_more(limit=1) + assert len(skipped) == 5 + + # def test_replace__skip_below_threshold(self, reddit): # FIXME: not currently working; same with praw + # submission = await reddit.submission("3hahrw") + # before_count = len(submission.comments.list()) + # skipped = submission.comments.replace_more(limit=16, threshold=5) + # assert len(skipped) == 13 + # assert all(x.count < 5 for x in skipped) + # assert all(x.submission == submission for x in skipped) + # assert before_count < len(submission.comments.list()) + + async def test_replace__skip_all(self, reddit): + submission = await reddit.submission("3hahrw") + before_count = len(submission.comments.list()) + skipped = await submission.comments.replace_more(limit=0) + assert len(skipped) == 6 + assert all(x.submission == submission for x in skipped) + after_count = len(submission.comments.list()) + assert before_count == after_count + len(skipped) + + async def test_replace__on_comment_from_submission(self, reddit): + submission = await reddit.submission("3hahrw") + types = [type(x) for x in submission.comments.list()] + assert types.count(Comment) == 527 + assert types.count(MoreComments) == 6 + assert (await submission.comments[0].replies.replace_more()) == [] + types = [type(x) for x in submission.comments.list()] + assert types.count(Comment) == 531 + assert types.count(MoreComments) == 3 + + async def test_replace__on_direct_comment(self, reddit): + comment = await reddit.comment("d8r4im1", fetch=False) + await comment.refresh() + assert any(isinstance(x, MoreComments) for x in comment.replies.list()) + await comment.replies.replace_more() + assert all(isinstance(x, Comment) for x in comment.replies.list()) + + async def test_comment_forest_refresh_error(self, reddit): + reddit.read_only = False + submission = await self.async_next(reddit.front.top()) + submission.comment_limit = 1 + await submission.load() + await submission.comments[1].comments() + with pytest.raises(DuplicateReplaceException): + await submission.comments.replace_more(limit=1) diff --git a/tests/integration/models/test_front.py b/tests/integration/models/test_front.py index feb7dbf6b..641284b19 100644 --- a/tests/integration/models/test_front.py +++ b/tests/integration/models/test_front.py @@ -3,32 +3,26 @@ class TestFront(IntegrationTest): - async def test_best(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.front.best()) + async def test_best(self, reddit): + submissions = await self.async_list(reddit.front.best()) assert len(submissions) == 100 - async def test_controversial(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.front.controversial()) + async def test_controversial(self, reddit): + submissions = await self.async_list(reddit.front.controversial()) assert len(submissions) == 100 - async def test_gilded(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.front.gilded()) + async def test_gilded(self, reddit): + submissions = await self.async_list(reddit.front.gilded()) assert len(submissions) == 100 - async def test_hot(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.front.hot()) + async def test_hot(self, reddit): + submissions = await self.async_list(reddit.front.hot()) assert len(submissions) == 100 - async def test_new(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.front.new()) + async def test_new(self, reddit): + submissions = await self.async_list(reddit.front.new()) assert len(submissions) == 100 - async def test_top(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.front.top()) + async def test_top(self, reddit): + submissions = await self.async_list(reddit.front.top()) assert len(submissions) == 100 diff --git a/tests/integration/models/test_inbox.py b/tests/integration/models/test_inbox.py index ae97e415b..38ef80b4c 100644 --- a/tests/integration/models/test_inbox.py +++ b/tests/integration/models/test_inbox.py @@ -1,102 +1,74 @@ """Test asyncpraw.models.inbox.""" -import sys import pytest from asyncprawcore import Forbidden -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.models import Comment, Message, Redditor, Subreddit from .. import IntegrationTest class TestInbox(IntegrationTest): - async def test_all(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for item in self.reddit.inbox.all(): - assert isinstance(item, Comment) or isinstance(item, Message) - count += 1 - assert count == 100 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_all__with_limit(self, _): - self.reddit.read_only = False - with self.use_cassette(): - assert len(await self.async_list(self.reddit.inbox.all(limit=128))) == 128 - - async def test_comment_replies(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for item in self.reddit.inbox.comment_replies(limit=64): - assert isinstance(item, Comment) - assert item.parent_id.startswith(self.reddit.config.kinds["comment"]) - count += 1 - assert count == 64 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_comment_reply__refresh(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.async_next(self.reddit.inbox.comment_replies()) - saved_id = comment.id - assert isinstance(comment, Comment) - await comment.refresh() - assert saved_id == comment.id - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mark_all_read(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await self.reddit.inbox.mark_unread( - await self.async_list(self.reddit.inbox.all(limit=2)) - ) - await self.reddit.inbox.mark_all_read() - assert not await self.async_list(self.reddit.inbox.unread()) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mark_read(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await self.reddit.inbox.mark_read( - await self.async_list(self.reddit.inbox.unread()) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mark_unread(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await self.reddit.inbox.mark_unread( - await self.async_list(self.reddit.inbox.all()) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_mention__refresh(self, _): - self.reddit.read_only = False - with self.use_cassette(): - mention = await self.async_next(self.reddit.inbox.mentions()) - assert isinstance(mention, Comment) - await mention.refresh() - - async def test_mentions(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for item in self.reddit.inbox.mentions(limit=16): - assert isinstance(item, Comment) - count += 1 - assert count > 0 - - async def test_message(self): - self.reddit.read_only = False - with self.use_cassette(): - message = await self.reddit.inbox.message("kfrjvh") + async def test_all(self, reddit): + reddit.read_only = False + count = 0 + async for item in reddit.inbox.all(): + assert isinstance(item, Comment) or isinstance(item, Message) + count += 1 + assert count == 100 + + async def test_all__with_limit(self, reddit): + reddit.read_only = False + assert len(await self.async_list(reddit.inbox.all(limit=128))) == 128 + + async def test_comment_replies(self, reddit): + reddit.read_only = False + count = 0 + async for item in reddit.inbox.comment_replies(limit=64): + assert isinstance(item, Comment) + assert item.parent_id.startswith(reddit.config.kinds["comment"]) + count += 1 + assert count == 64 + + async def test_comment_reply__refresh(self, reddit): + reddit.read_only = False + comment = await self.async_next(reddit.inbox.comment_replies()) + saved_id = comment.id + assert isinstance(comment, Comment) + await comment.refresh() + assert saved_id == comment.id + + async def test_mark_all_read(self, reddit): + reddit.read_only = False + await reddit.inbox.mark_unread(await self.async_list(reddit.inbox.all(limit=2))) + await reddit.inbox.mark_all_read() + assert not await self.async_list(reddit.inbox.unread()) + + async def test_mark_read(self, reddit): + reddit.read_only = False + await reddit.inbox.mark_read(await self.async_list(reddit.inbox.unread())) + + async def test_mark_unread(self, reddit): + reddit.read_only = False + await reddit.inbox.mark_unread(await self.async_list(reddit.inbox.all())) + + async def test_mention__refresh(self, reddit): + reddit.read_only = False + mention = await self.async_next(reddit.inbox.mentions()) + assert isinstance(mention, Comment) + await mention.refresh() + + async def test_mentions(self, reddit): + reddit.read_only = False + count = 0 + async for item in reddit.inbox.mentions(limit=16): + assert isinstance(item, Comment) + count += 1 + assert count > 0 + + async def test_message(self, reddit): + reddit.read_only = False + message = await reddit.inbox.message("kfrjvh") assert message.name.split("_", 1)[1] == "kfrjvh" assert isinstance(message, Message) assert isinstance(message.author, Redditor) @@ -104,69 +76,53 @@ async def test_message(self): assert message.replies == [] assert isinstance(message.subreddit, Subreddit) - async def test_message__unauthorized(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(Forbidden): - await self.reddit.inbox.message("6i8om7") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_message_collapse(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await self.reddit.inbox.collapse( - await self.async_list(self.reddit.inbox.messages()) - ) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_message_uncollapse(self, _): - self.reddit.read_only = False - with self.use_cassette(): - await self.reddit.inbox.uncollapse( - await self.async_list(self.reddit.inbox.messages()) - ) - - async def test_messages(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for item in self.reddit.inbox.messages(limit=64): - assert isinstance(item, Message) - count += 1 - assert count == 64 - - async def test_sent(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for item in self.reddit.inbox.sent(limit=48): - assert isinstance(item, Message) - assert item.author == self.reddit.config.username - count += 1 - assert count == 48 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_stream(self, _): - self.reddit.read_only = False - with self.use_cassette(): - item = await self.async_next(self.reddit.inbox.stream()) - assert isinstance(item, Comment) or isinstance(item, Message) - - async def test_submission_replies(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for item in self.reddit.inbox.submission_replies(limit=64): - assert isinstance(item, Comment) - assert item.parent_id.startswith(self.reddit.config.kinds["submission"]) - count += 1 - assert count == 64 - - @mock.patch("asyncio.sleep", return_value=None) - async def test_unread(self, _): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for item in self.reddit.inbox.unread(limit=64): - count += 1 - assert count == 64 + async def test_message__unauthorized(self, reddit): + reddit.read_only = False + with pytest.raises(Forbidden): + await reddit.inbox.message("6i8om7") + + async def test_message_collapse(self, reddit): + reddit.read_only = False + await reddit.inbox.collapse(await self.async_list(reddit.inbox.messages())) + + async def test_message_uncollapse(self, reddit): + reddit.read_only = False + await reddit.inbox.uncollapse(await self.async_list(reddit.inbox.messages())) + + async def test_messages(self, reddit): + reddit.read_only = False + count = 0 + async for item in reddit.inbox.messages(limit=64): + assert isinstance(item, Message) + count += 1 + assert count == 64 + + async def test_sent(self, reddit): + reddit.read_only = False + count = 0 + async for item in reddit.inbox.sent(limit=48): + assert isinstance(item, Message) + assert item.author == reddit.config.username + count += 1 + assert count == 48 + + async def test_stream(self, reddit): + reddit.read_only = False + item = await self.async_next(reddit.inbox.stream()) + assert isinstance(item, Comment) or isinstance(item, Message) + + async def test_submission_replies(self, reddit): + reddit.read_only = False + count = 0 + async for item in reddit.inbox.submission_replies(limit=64): + assert isinstance(item, Comment) + assert item.parent_id.startswith(reddit.config.kinds["submission"]) + count += 1 + assert count == 64 + + async def test_unread(self, reddit): + reddit.read_only = False + count = 0 + async for item in reddit.inbox.unread(limit=64): + count += 1 + assert count == 64 diff --git a/tests/integration/models/test_mod_notes.py b/tests/integration/models/test_mod_notes.py index da8694c99..1a8162163 100644 --- a/tests/integration/models/test_mod_notes.py +++ b/tests/integration/models/test_mod_notes.py @@ -1,5 +1,3 @@ -from unittest import mock - import pytest from .. import IntegrationTest @@ -8,63 +6,57 @@ class TestModNotes(IntegrationTest): REDDITOR = "pyapitestuser3" - async def test_create_note__submission(self): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("uflrmv") - result_note = await submission.mod.create_note( - label="HELPFUL_USER", note="test note" - ) - assert result_note.user == submission.author - assert result_note.note == "test note" - assert result_note.label == "HELPFUL_USER" - - async def test_create_note__thing_fullname(self): - self.reddit.read_only = False - with self.use_cassette(): - submission = await self.reddit.submission("uflrmv") - result_note = await self.reddit.notes.create( - label="HELPFUL_USER", note="test note", thing=submission.fullname - ) - assert result_note.user == submission.author - assert result_note.id.startswith("ModNote") - assert result_note.moderator.name == pytest.placeholders.username - assert result_note.note == "test note" - assert result_note.label == "HELPFUL_USER" - assert result_note.reddit_id == submission.fullname - - async def test_create_note__thing_submission(self): - self.reddit.read_only = False - with self.use_cassette("TestModNotes.test_create_note__submission"): - submission = await self.reddit.submission("uflrmv") - result_note = await self.reddit.notes.create( - label="HELPFUL_USER", note="test note", thing=submission - ) - assert result_note.user == submission.author - assert result_note.note == "test note" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete_note(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - result_note = await subreddit.mod.notes.create( - redditor=self.REDDITOR, note="test note" - ) - await subreddit.mod.notes.delete( - note_id=result_note.id, redditor=result_note.user - ) - notes = await self.async_list(subreddit.mod.notes.redditors(self.REDDITOR)) - assert result_note not in notes - - @mock.patch("asyncio.sleep", return_value=None) - async def test_delete_note__all_notes(self, _): - self.reddit.read_only = False - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - result_note = await subreddit.mod.notes.create( - redditor=self.REDDITOR, note="test note" - ) - await subreddit.mod.notes.delete(delete_all=True, redditor=result_note.user) - notes = await self.async_list(subreddit.mod.notes.redditors(self.REDDITOR)) - assert len(notes) == 0 + async def test_create_note__submission(self, reddit): + reddit.read_only = False + submission = await reddit.submission("uflrmv") + result_note = await submission.mod.create_note( + label="HELPFUL_USER", note="test note" + ) + assert result_note.user == submission.author + assert result_note.note == "test note" + assert result_note.label == "HELPFUL_USER" + + async def test_create_note__thing_fullname(self, reddit): + reddit.read_only = False + submission = await reddit.submission("uflrmv") + result_note = await reddit.notes.create( + label="HELPFUL_USER", note="test note", thing=submission.fullname + ) + assert result_note.user == submission.author + assert result_note.id.startswith("ModNote") + assert result_note.moderator.name == pytest.placeholders.username + assert result_note.note == "test note" + assert result_note.label == "HELPFUL_USER" + assert result_note.reddit_id == submission.fullname + + @pytest.mark.cassette_name("TestModNotes.test_create_note__submission") + async def test_create_note__thing_submission(self, reddit): + reddit.read_only = False + submission = await reddit.submission("uflrmv") + result_note = await reddit.notes.create( + label="HELPFUL_USER", note="test note", thing=submission + ) + assert result_note.user == submission.author + assert result_note.note == "test note" + + async def test_delete_note(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + result_note = await subreddit.mod.notes.create( + redditor=self.REDDITOR, note="test note" + ) + await subreddit.mod.notes.delete( + note_id=result_note.id, redditor=result_note.user + ) + notes = await self.async_list(subreddit.mod.notes.redditors(self.REDDITOR)) + assert result_note not in notes + + async def test_delete_note__all_notes(self, reddit): + reddit.read_only = False + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + result_note = await subreddit.mod.notes.create( + redditor=self.REDDITOR, note="test note" + ) + await subreddit.mod.notes.delete(delete_all=True, redditor=result_note.user) + notes = await self.async_list(subreddit.mod.notes.redditors(self.REDDITOR)) + assert len(notes) == 0 diff --git a/tests/integration/models/test_preferences.py b/tests/integration/models/test_preferences.py index d98987d99..33b0f3ac0 100644 --- a/tests/integration/models/test_preferences.py +++ b/tests/integration/models/test_preferences.py @@ -1,21 +1,8 @@ -import sys - -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - -from asyncpraw.models import Preferences - from .. import IntegrationTest class TestPreferences(IntegrationTest): - def test_creation(self): - prefs_obj = self.reddit.user.preferences - assert isinstance(prefs_obj, Preferences) - - async def test_view(self): + async def test_view(self, reddit): some_known_keys = { "allow_clicktracking", "default_comment_sort", @@ -27,14 +14,12 @@ async def test_view(self): "show_link_flair", } - self.reddit.read_only = False - with self.use_cassette(): - prefs_dict = await self.reddit.user.preferences() + reddit.read_only = False + prefs_dict = await reddit.user.preferences() assert isinstance(prefs_dict, dict) assert some_known_keys.issubset(prefs_dict) - @mock.patch("asyncio.sleep", return_value=None) - async def test_update(self, _): + async def test_update(self, reddit): # boolean params, as many as are reproducible on multiple accounts. bool_params = ( "allow_clicktracking", @@ -93,26 +78,24 @@ async def test_update(self, _): # styling feature. It's impractical to test for that because not every # account has Gold, and the test fails on normal accounts. - self.reddit.read_only = False - preferences = self.reddit.user.preferences - - with self.use_cassette(): + reddit.read_only = False + preferences = reddit.user.preferences - # test an empty update - await preferences.update() + # test an empty update + await preferences.update() - for param in int_params: - response = await preferences.update(**{param: 1}) - assert response[param] == 1 - response = await preferences.update(**{param: 3}) - assert response[param] == 3 - for param in bool_params: - response = await preferences.update(**{param: True}) - assert response[param] is True - response = await preferences.update(**{param: False}) - assert response[param] is False - for param, values in str_params: - response = await preferences.update(**{param: values[0]}) - assert response[param] == values[0] - response = await preferences.update(**{param: values[1]}) - assert response[param] == values[1] + for param in int_params: + response = await preferences.update(**{param: 1}) + assert response[param] == 1 + response = await preferences.update(**{param: 3}) + assert response[param] == 3 + for param in bool_params: + response = await preferences.update(**{param: True}) + assert response[param] is True + response = await preferences.update(**{param: False}) + assert response[param] is False + for param, values in str_params: + response = await preferences.update(**{param: values[0]}) + assert response[param] == values[0] + response = await preferences.update(**{param: values[1]}) + assert response[param] == values[1] diff --git a/tests/integration/models/test_redditors.py b/tests/integration/models/test_redditors.py index 88baec491..c1108cdd3 100644 --- a/tests/integration/models/test_redditors.py +++ b/tests/integration/models/test_redditors.py @@ -1,10 +1,4 @@ """Test asyncpraw.models.redditors.""" -import sys - -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock from asyncpraw.models import Redditor, Subreddit @@ -12,53 +6,44 @@ class TestRedditors(IntegrationTest): - async def test_new(self): - with self.use_cassette(): - profiles = await self.async_list(self.reddit.redditors.new(limit=300)) + async def test_new(self, reddit): + profiles = await self.async_list(reddit.redditors.new(limit=300)) assert len(profiles) == 300 assert all(isinstance(profile, Subreddit) for profile in profiles) assert all(str(profile).startswith("u_") for profile in profiles) - async def test_popular(self): - with self.use_cassette(): - profiles = await self.async_list(self.reddit.redditors.popular(limit=15)) + async def test_popular(self, reddit): + profiles = await self.async_list(reddit.redditors.popular(limit=15)) assert len(profiles) == 15 assert all(isinstance(profile, Subreddit) for profile in profiles) assert all(str(profile).startswith("u_") for profile in profiles) - async def test_search(self): - with self.use_cassette(): - found = False - async for profile in self.reddit.redditors.search("praw"): - assert isinstance(profile, Redditor) - found = True - assert found + async def test_search(self, reddit): + found = False + async for profile in reddit.redditors.search("praw"): + assert isinstance(profile, Redditor) + found = True + assert found - @mock.patch("asyncio.sleep", return_value=None) - async def test_stream(self, _): - with self.use_cassette(): - generator = self.reddit.redditors.stream() - for i in range(101): - assert isinstance(await self.async_next(generator), Subreddit) + async def test_stream(self, reddit): + generator = reddit.redditors.stream() + for i in range(101): + assert isinstance(await self.async_next(generator), Subreddit) - async def test_partial_redditors(self): - with self.use_cassette(): - gen = self.reddit.redditors.partial_redditors(["t2_1w72", "t2_4x25quk"]) - user_data = await self.async_list(gen) + async def test_partial_redditors(self, reddit): + gen = reddit.redditors.partial_redditors(["t2_1w72", "t2_4x25quk"]) + user_data = await self.async_list(gen) fullnames = [user.fullname for user in user_data] assert fullnames == ["t2_1w72", "t2_4x25quk"] assert user_data[0].fullname == "t2_1w72" assert user_data[0].name == "spez" - async def test_partial_redditors__not_found(self): - with self.use_cassette(): - gen = self.reddit.redditors.partial_redditors( - ["t2_invalid_abc", "t2_invalid_123"] - ) - assert await self.async_list(gen) == [] + async def test_partial_redditors__not_found(self, reddit): + gen = reddit.redditors.partial_redditors(["t2_invalid_abc", "t2_invalid_123"]) + assert await self.async_list(gen) == [] - gen = self.reddit.redditors.partial_redditors( - ["t2_invalid_abc" for _ in range(100)] + ["t2_4x25quk"] - ) - assert [user.fullname async for user in gen] == ["t2_4x25quk"] + gen = reddit.redditors.partial_redditors( + ["t2_invalid_abc" for _ in range(100)] + ["t2_4x25quk"] + ) + assert [user.fullname async for user in gen] == ["t2_4x25quk"] diff --git a/tests/integration/models/test_subreddits.py b/tests/integration/models/test_subreddits.py index 8c44006ca..6c2f0afd4 100644 --- a/tests/integration/models/test_subreddits.py +++ b/tests/integration/models/test_subreddits.py @@ -1,10 +1,4 @@ """Test asyncpraw.models.subreddits.""" -import sys - -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock from asyncpraw.models import Subreddit @@ -12,50 +6,40 @@ class TestSubreddits(IntegrationTest): - async def test_default(self): - with self.use_cassette(): - subreddits = await self.async_list( - self.reddit.subreddits.default(limit=None) - ) + async def test_default(self, reddit): + subreddits = await self.async_list(reddit.subreddits.default(limit=None)) assert 0 < len(subreddits) < 100 - async def test_premium__without_premium(self): - with self.use_cassette(): - subreddits = await self.async_list(self.reddit.subreddits.premium()) + async def test_premium__without_premium(self, reddit): + subreddits = await self.async_list(reddit.subreddits.premium()) assert len(subreddits) == 0 - async def test_premium__with_premium(self): - with self.use_cassette(): - subreddits = await self.async_list(self.reddit.subreddits.premium()) + async def test_premium__with_premium(self, reddit): + subreddits = await self.async_list(reddit.subreddits.premium()) assert len(subreddits) == 100 - async def test_gold__without_gold(self): # ensure backwards compatibility - with self.use_cassette(): - subreddits = await self.async_list(self.reddit.subreddits.gold()) + async def test_gold__without_gold(self, reddit): # ensure backwards compatibility + subreddits = await self.async_list(reddit.subreddits.gold()) assert len(subreddits) == 0 - async def test_gold__with_gold(self): # ensure backwards compatibility - with self.use_cassette(): - subreddits = await self.async_list(self.reddit.subreddits.gold()) + async def test_gold__with_gold(self, reddit): # ensure backwards compatibility + subreddits = await self.async_list(reddit.subreddits.gold()) assert len(subreddits) == 100 - async def test_new(self): - with self.use_cassette(): - subreddits = await self.async_list(self.reddit.subreddits.new(limit=300)) + async def test_new(self, reddit): + subreddits = await self.async_list(reddit.subreddits.new(limit=300)) assert len(subreddits) == 300 - async def test_popular(self): - with self.use_cassette(): - subreddits = await self.async_list(self.reddit.subreddits.popular(limit=15)) + async def test_popular(self, reddit): + subreddits = await self.async_list(reddit.subreddits.popular(limit=15)) assert len(subreddits) == 15 async def test_recommended( - self, + self, reddit ): # FIXME: always seems to return []; same with praw - with self.use_cassette(): - subreddits = await self.reddit.subreddits.recommended( - ["earthporn"], omit_subreddits=["cityporn"] - ) + subreddits = await reddit.subreddits.recommended( + ["earthporn"], omit_subreddits=["cityporn"] + ) assert ( len(subreddits) == 0 ) # This is like this for coverage. Endpoint does not seem to work for me. @@ -64,13 +48,12 @@ async def test_recommended( # assert isinstance(subreddit, Subreddit) async def test_recommended__with_multiple( - self, + self, reddit ): # FIXME: always seems to return []; same with praw - with self.use_cassette(): - subreddits = await self.reddit.subreddits.recommended( - ["cityporn", "earthporn"], - omit_subreddits=["skyporn", "winterporn"], - ) + subreddits = await reddit.subreddits.recommended( + ["cityporn", "earthporn"], + omit_subreddits=["skyporn", "winterporn"], + ) assert ( len(subreddits) == 0 ) # This is like this for coverage. Endpoint does not seem to work for me. @@ -78,34 +61,27 @@ async def test_recommended__with_multiple( # for subreddit in subreddits: # assert isinstance(subreddit, Subreddit) - async def test_search(self): - with self.use_cassette(): - found = False - async for subreddit in self.reddit.subreddits.search("asyncpraw"): - assert isinstance(subreddit, Subreddit) - found = True - assert found - - # async def test_search_by_topic(self): # FIXME: endpoint does not exist anymore - # with self.use_cassette(): - # found = False - # async for subreddit in self.reddit.subreddits.search_by_topic("sports"): - # assert isinstance(subreddit, Subreddit) - # found = True - # assert found - - async def test_search_by_name(self): - with self.use_cassette(): - subreddits = await self.async_list( - self.reddit.subreddits.search_by_name("reddit") - ) - assert isinstance(subreddits, list) - assert len(subreddits) > 1 - assert all(isinstance(x, Subreddit) for x in subreddits) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_stream(self, _): - with self.use_cassette(): - generator = self.reddit.subreddits.stream() - for i in range(101): - assert isinstance(await self.async_next(generator), Subreddit) + async def test_search(self, reddit): + found = False + async for subreddit in reddit.subreddits.search("asyncpraw"): + assert isinstance(subreddit, Subreddit) + found = True + assert found + + # async def test_search_by_topic(self, reddit): # FIXME: endpoint does not exist anymore + # found = False + # async for subreddit in reddit.subreddits.search_by_topic("sports"): + # assert isinstance(subreddit, Subreddit) + # found = True + # assert found + + async def test_search_by_name(self, reddit): + subreddits = await self.async_list(reddit.subreddits.search_by_name("reddit")) + assert isinstance(subreddits, list) + assert len(subreddits) > 1 + assert all(isinstance(x, Subreddit) for x in subreddits) + + async def test_stream(self, reddit): + generator = reddit.subreddits.stream() + for i in range(101): + assert isinstance(await self.async_next(generator), Subreddit) diff --git a/tests/integration/models/test_trophy.py b/tests/integration/models/test_trophy.py index ccbaa30cc..10698d203 100644 --- a/tests/integration/models/test_trophy.py +++ b/tests/integration/models/test_trophy.py @@ -1,20 +1,12 @@ """Test asyncpraw.models.Trophy""" -import sys - -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock from .. import IntegrationTest class TestTrophy(IntegrationTest): - @mock.patch("asyncio.sleep", return_value=None) - async def test_equality(self, _): - self.reddit.read_only = False - with self.use_cassette(): - user = await self.reddit.user.me() - trophies = await user.trophies() - trophies2 = await user.trophies() - assert trophies == trophies2 + async def test_equality(self, reddit): + reddit.read_only = False + user = await reddit.user.me() + trophies = await user.trophies() + trophies2 = await user.trophies() + assert trophies == trophies2 diff --git a/tests/integration/models/test_user.py b/tests/integration/models/test_user.py index 03278bfe8..f52dde506 100644 --- a/tests/integration/models/test_user.py +++ b/tests/integration/models/test_user.py @@ -1,14 +1,8 @@ """Test asyncpraw.models.user.""" -import sys import asyncprawcore.exceptions import pytest -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import RedditAPIException from asyncpraw.models import Multireddit, Redditor, Submission, Subreddit @@ -16,246 +10,197 @@ class TestUser(IntegrationTest): - async def test_blocked(self): - self.reddit.read_only = False - with self.use_cassette(): - blocked = await self.reddit.user.blocked() + async def test_blocked(self, reddit): + reddit.read_only = False + blocked = await reddit.user.blocked() assert len(blocked) > 0 assert all(isinstance(user, Redditor) for user in blocked) - async def test_blocked_fullname(self): - self.reddit.read_only = False - with self.use_cassette(): - blocked = next(iter(await self.reddit.user.blocked())) - assert blocked.fullname.startswith("t2_") - assert not blocked.fullname.startswith("t2_t2") + async def test_blocked_fullname(self, reddit): + reddit.read_only = False + blocked = next(iter(await reddit.user.blocked())) + assert blocked.fullname.startswith("t2_") + assert not blocked.fullname.startswith("t2_t2") - async def test_contributor_subreddits(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for subreddit in self.reddit.user.contributor_subreddits(): - assert isinstance(subreddit, Subreddit) - count += 1 - assert count > 0 + async def test_contributor_subreddits(self, reddit): + reddit.read_only = False + count = 0 + async for subreddit in reddit.user.contributor_subreddits(): + assert isinstance(subreddit, Subreddit) + count += 1 + assert count > 0 - async def test_friends(self): - self.reddit.read_only = False - with self.use_cassette(): - friends = await self.reddit.user.friends() + async def test_friends(self, reddit): + reddit.read_only = False + friends = await reddit.user.friends() assert len(friends) > 0 assert all(isinstance(friend, Redditor) for friend in friends) - @mock.patch("asyncio.sleep", return_value=None) - async def test_friend_exist(self, _): - self.reddit.read_only = False - with self.use_cassette(): - friend = await self.reddit.user.friends(user=await self.reddit.user.me()) - assert isinstance(friend, Redditor) + async def test_friend_exist(self, reddit): + reddit.read_only = False + friend = await reddit.user.friends(user=await reddit.user.me()) + assert isinstance(friend, Redditor) - @mock.patch("asyncio.sleep", return_value=None) - async def test_friend_not_exist(self, _): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(RedditAPIException): - await self.reddit.user.friends(user="fake__user_user_user") + async def test_friend_not_exist(self, reddit): + reddit.read_only = False + with pytest.raises(RedditAPIException): + await reddit.user.friends(user="fake__user_user_user") - async def test_karma(self): - self.reddit.read_only = False - with self.use_cassette(): - karma = await self.reddit.user.karma() + async def test_karma(self, reddit): + reddit.read_only = False + karma = await reddit.user.karma() assert isinstance(karma, dict) for subreddit in karma: assert isinstance(subreddit, Subreddit) keys = sorted(karma[subreddit].keys()) assert ["comment_karma", "link_karma"] == keys - async def test_me(self): - self.reddit.read_only = False - with self.use_cassette(): - me = await self.reddit.user.me() + async def test_me(self, reddit): + reddit.read_only = False + me = await reddit.user.me() assert isinstance(me, Redditor) me.praw_is_cached = True - me = await self.reddit.user.me() + me = await reddit.user.me() assert me.praw_is_cached - @mock.patch("asyncio.sleep", return_value=None) - async def test_me__bypass_cache(self, _): - self.reddit.read_only = False - with self.use_cassette(): - me = await self.reddit.user.me() - me.praw_is_cached = True - me = await self.reddit.user.me(use_cache=False) - assert not hasattr(me, "Async PRAW_is_cached") - - @mock.patch("asyncio.sleep", return_value=None) - async def test_moderator_subreddits(self, _): - self.reddit.read_only = False - with self.use_cassette(): - mod_subs = await self.async_list( - self.reddit.user.moderator_subreddits(limit=None) - ) - assert mod_subs - assert all(isinstance(x, Subreddit) for x in mod_subs) - - async def test_multireddits(self): - self.reddit.read_only = False - with self.use_cassette(): - multireddits = await self.reddit.user.multireddits() - assert isinstance(multireddits, list) - assert multireddits - assert all(isinstance(x, Multireddit) for x in multireddits) - - async def test_pin(self): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission_list = [] - for i in range(1, 5): - submission = await subreddit.submit( - title=f"Async PRAW Test {i}", selftext=f"Testing .pin method {i}" - ) - submission_list.append(submission) - await self.reddit.user.pin(submission) - - for i in range(5, 9): - await subreddit.submit( - title=f"Async PRAW Test {i}", selftext=f"Testing .pin method {i}" - ) - new_posts = await self.async_list( - (await self.reddit.user.me()).new(limit=4) - ) - new_posts.reverse() - assert new_posts == submission_list - - @mock.patch("asyncio.sleep", return_value=None) - async def test_pin__comment(self, _): - self.reddit.read_only = False - with self.use_cassette(): - comment = await self.reddit.comment("hnxx8f2") - await self.reddit.user.pin(comment) - new_content = await self.async_next( - (await self.reddit.user.me()).new(limit=1) - ) - assert new_content != comment - - async def test_pin__deleted_submission(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(asyncprawcore.exceptions.BadRequest): - await self.reddit.user.pin(Submission(self.reddit, "rmhl6m")) - - async def test_pin__empty_slot(self): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - new_posts = await self.async_list( - (await self.reddit.user.me()).new(limit=4) - ) - new_posts.reverse() - for i in range(2, 4): - await self.reddit.user.pin(new_posts[i], state=False) + async def test_me__bypass_cache(self, reddit): + reddit.read_only = False + me = await reddit.user.me() + me.praw_is_cached = True + me = await reddit.user.me(use_cache=False) + assert not hasattr(me, "Async PRAW_is_cached") + + async def test_moderator_subreddits(self, reddit): + reddit.read_only = False + mod_subs = await self.async_list(reddit.user.moderator_subreddits(limit=None)) + assert mod_subs + assert all(isinstance(x, Subreddit) for x in mod_subs) + + async def test_multireddits(self, reddit): + reddit.read_only = False + multireddits = await reddit.user.multireddits() + assert isinstance(multireddits, list) + assert multireddits + assert all(isinstance(x, Multireddit) for x in multireddits) + + async def test_pin(self, reddit): + reddit.read_only = False + reddit.validate_on_submit = True + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission_list = [] + for i in range(1, 5): submission = await subreddit.submit( - title="Async PRAW Test 5", selftext="Testing .pin method 5" - ) - await self.reddit.user.pin(submission, num=4) - new_posts = await self.async_list( - (await self.reddit.user.me()).new(limit=4) + title=f"Async PRAW Test {i}", selftext=f"Testing .pin method {i}" ) - new_posts.reverse() - assert new_posts[-1] == submission + submission_list.append(submission) + await reddit.user.pin(submission) - async def test_pin__ignore_conflicts(self): - self.reddit.read_only = False - with self.use_cassette(): - await self.reddit.user.pin(Submission(self.reddit, "rmi79w")) - await self.reddit.user.pin(Submission(self.reddit, "rmi79w")) - - async def test_pin__invalid_num(self): - self.reddit.read_only = False - with self.use_cassette(): - await self.reddit.user.pin(Submission(self.reddit, "rmi7hx"), num=7) - submission = await self.async_next( - (await self.reddit.user.me()).new(limit=1) - ) - assert submission.id == "rmi7hx" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_pin__num(self, _): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) - submission_list = [] - for i in range(1, 5): - submission = await subreddit.submit( - title=f"Async PRAW Test {i}", selftext=f"Testing .pin method {i}" - ) - submission_list.append(submission) - submission_list.reverse() - for num, submission in enumerate(submission_list, 1): - await self.reddit.user.pin(submission, num=num) - - new_posts = await self.async_list( - (await self.reddit.user.me()).new(limit=4) - ) - assert new_posts == submission_list - - async def test_pin__remove(self): - self.reddit.read_only = False - with self.use_cassette(): - unpinned_posts = set() - async for post in (await self.reddit.user.me()).new(limit=4): - await self.reddit.user.pin(post, state=False) - unpinned_posts.add(post.title) - new_posts = set( - [ - submission.title - async for submission in (await self.reddit.user.me()).new(limit=4) - ] - ) - assert unpinned_posts != new_posts - - async def test_pin__remove_num(self): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - await self.reddit.user.pin( - Submission(self.reddit, "rmi7ab"), num=1, state=False - ) - submission = await self.async_next( - (await self.reddit.user.me()).new(limit=1) + for i in range(5, 9): + await subreddit.submit( + title=f"Async PRAW Test {i}", selftext=f"Testing .pin method {i}" ) - assert submission.id != "rmi7ab" - - async def test_pin__removed_submission(self): - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(asyncprawcore.exceptions.BadRequest): - await self.reddit.user.pin(Submission(self.reddit, "rmi7ab")) - - async def test_pin__replace_slot(self): - self.reddit.read_only = False - self.reddit.validate_on_submit = True - with self.use_cassette(): - subreddit = await self.reddit.subreddit(pytest.placeholders.test_subreddit) + new_posts = await self.async_list((await reddit.user.me()).new(limit=4)) + new_posts.reverse() + assert new_posts == submission_list + + async def test_pin__comment(self, reddit): + reddit.read_only = False + comment = await reddit.comment("hnxx8f2") + await reddit.user.pin(comment) + new_content = await self.async_next((await reddit.user.me()).new(limit=1)) + assert new_content != comment + + async def test_pin__deleted_submission(self, reddit): + reddit.read_only = False + with pytest.raises(asyncprawcore.exceptions.BadRequest): + await reddit.user.pin(Submission(reddit, "rmhl6m")) + + async def test_pin__empty_slot(self, reddit): + reddit.read_only = False + reddit.validate_on_submit = True + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + new_posts = await self.async_list((await reddit.user.me()).new(limit=4)) + new_posts.reverse() + for i in range(2, 4): + await reddit.user.pin(new_posts[i], state=False) + submission = await subreddit.submit( + title="Async PRAW Test 5", selftext="Testing .pin method 5" + ) + await reddit.user.pin(submission, num=4) + new_posts = await self.async_list((await reddit.user.me()).new(limit=4)) + new_posts.reverse() + assert new_posts[-1] == submission + + async def test_pin__ignore_conflicts(self, reddit): + reddit.read_only = False + await reddit.user.pin(Submission(reddit, "rmi79w")) + await reddit.user.pin(Submission(reddit, "rmi79w")) + + async def test_pin__invalid_num(self, reddit): + reddit.read_only = False + await reddit.user.pin(Submission(reddit, "rmi7hx"), num=7) + submission = await self.async_next((await reddit.user.me()).new(limit=1)) + assert submission.id == "rmi7hx" + + async def test_pin__num(self, reddit): + reddit.read_only = False + reddit.validate_on_submit = True + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission_list = [] + for i in range(1, 5): submission = await subreddit.submit( - title="Async PRAW Test replace slot 1", selftext="Testing .pin method 1" + title=f"Async PRAW Test {i}", selftext=f"Testing .pin method {i}" ) - await self.reddit.user.pin(submission, num=1) - new_posts = await self.async_list( - (await self.reddit.user.me()).new(limit=4) - ) - new_posts.reverse() - assert new_posts[-1] == submission - - async def test_subreddits(self): - self.reddit.read_only = False - with self.use_cassette(): - count = 0 - async for subreddit in self.reddit.user.subreddits(): - assert isinstance(subreddit, Subreddit) - count += 1 - assert count > 0 + submission_list.append(submission) + submission_list.reverse() + for num, submission in enumerate(submission_list, 1): + await reddit.user.pin(submission, num=num) + + new_posts = await self.async_list((await reddit.user.me()).new(limit=4)) + assert new_posts == submission_list + + async def test_pin__remove(self, reddit): + reddit.read_only = False + unpinned_posts = set() + async for post in (await reddit.user.me()).new(limit=4): + await reddit.user.pin(post, state=False) + unpinned_posts.add(post.title) + new_posts = set( + [ + submission.title + async for submission in (await reddit.user.me()).new(limit=4) + ] + ) + assert unpinned_posts != new_posts + + async def test_pin__remove_num(self, reddit): + reddit.read_only = False + reddit.validate_on_submit = True + await reddit.user.pin(Submission(reddit, "rmi7ab"), num=1, state=False) + submission = await self.async_next((await reddit.user.me()).new(limit=1)) + assert submission.id != "rmi7ab" + + async def test_pin__removed_submission(self, reddit): + reddit.read_only = False + with pytest.raises(asyncprawcore.exceptions.BadRequest): + await reddit.user.pin(Submission(reddit, "rmi7ab")) + + async def test_pin__replace_slot(self, reddit): + reddit.read_only = False + reddit.validate_on_submit = True + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + submission = await subreddit.submit( + title="Async PRAW Test replace slot 1", selftext="Testing .pin method 1" + ) + await reddit.user.pin(submission, num=1) + new_posts = await self.async_list((await reddit.user.me()).new(limit=4)) + new_posts.reverse() + assert new_posts[-1] == submission + + async def test_subreddits(self, reddit): + reddit.read_only = False + count = 0 + async for subreddit in reddit.user.subreddits(): + assert isinstance(subreddit, Subreddit) + count += 1 + assert count > 0 diff --git a/tests/integration/test_objector.py b/tests/integration/test_objector.py index 02d25db47..7427a4179 100644 --- a/tests/integration/test_objector.py +++ b/tests/integration/test_objector.py @@ -8,11 +8,10 @@ class TestObjector(IntegrationTest): - async def test_raise_api_exception(self): + async def test_raise_api_exception(self, reddit): message = "USER_REQUIRED: 'Please log in to do that.'" - with self.use_cassette(): - submission = Submission(self.reddit, "4b536h") - with pytest.raises(RedditAPIException) as excinfo: - await submission.mod.approve() - assert excinfo.value.items[0].error_type == "USER_REQUIRED" - assert str(excinfo.value.items[0]) == message + submission = Submission(reddit, "4b536h") + with pytest.raises(RedditAPIException) as excinfo: + await submission.mod.approve() + assert excinfo.value.items[0].error_type == "USER_REQUIRED" + assert str(excinfo.value.items[0]) == message diff --git a/tests/integration/test_reddit.py b/tests/integration/test_reddit.py index aaa468138..ec96412c1 100644 --- a/tests/integration/test_reddit.py +++ b/tests/integration/test_reddit.py @@ -1,15 +1,9 @@ """Test asyncpraw.reddit.""" -import sys from base64 import urlsafe_b64encode import pytest from asyncprawcore.exceptions import BadRequest, ServerError -if sys.version_info < (3, 8): - from asynctest import mock -else: - from unittest import mock - from asyncpraw.exceptions import RedditAPIException from asyncpraw.models import LiveThread from asyncpraw.models.reddit.base import RedditBase @@ -20,33 +14,27 @@ class TestReddit(IntegrationTest): - async def test_bad_request_without_json_text_plain_response(self): + async def test_bad_request_without_json_text_plain_response(self, reddit): with open("tests/integration/files/too_large.jpg", "rb") as fp: junk = urlsafe_b64encode(fp.read()).decode() - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await self.reddit.request( - method="GET", - path=f"/api/morechildren?link_id=t3_n7r3uz&children={junk}", - ) - assert str(excinfo.value) == "Bad Request" - - async def test_bad_request_without_json_text_html_response(self): + with pytest.raises(RedditAPIException) as excinfo: + await reddit.request( + method="GET", + path=f"/api/morechildren?link_id=t3_n7r3uz&children={junk}", + ) + assert str(excinfo.value) == "Bad Request" + + async def test_bad_request_without_json_text_html_response(self, reddit): with open("tests/integration/files/comment_ids.txt") as fp: ids = fp.read()[:8000] - with self.use_cassette(): - with pytest.raises(RedditAPIException) as excinfo: - await self.reddit.request( - method="GET", - path=f"/api/morechildren?link_id=t3_n7r3uz&children={ids}", - ) - assert ( - str(excinfo.value) - == "

400 Bad request

\nYour browser sent an invalid" - " request.\n\n" + with pytest.raises(BadRequest) as excinfo: + await reddit.request( + method="GET", + path=f"/api/morechildren?link_id=t3_n7r3uz&children={ids}", ) + assert str(excinfo.value) == "received 400 HTTP response" - async def test_bare_badrequest(self): + async def test_bare_badrequest(self, reddit): data = { "sr": "AskReddit", "field": "link", @@ -55,65 +43,53 @@ async def test_bare_badrequest(self): "text": "lol", "show_error_list": True, } - self.reddit.read_only = False - with self.use_cassette(): - with pytest.raises(BadRequest): - await self.reddit.post("/api/validate_submission_field", data=data) + reddit.read_only = False + with pytest.raises(BadRequest): + await reddit.post("/api/validate_submission_field", data=data) - async def test_info(self): + async def test_info(self, reddit): bases = ["t1_d7ltv", "t3_5dec", "t5_2qk"] items = [] for i in range(100): for base in bases: items.append(f"{base}{i:02d}") - - with self.use_cassette(): - results = await self.async_list(self.reddit.info(fullnames=items)) + results = await self.async_list(reddit.info(fullnames=items)) assert len(results) > 100 for item in results: assert isinstance(item, RedditBase) - async def test_info_url(self): - with self.use_cassette(): - results = await self.async_list(self.reddit.info(url="youtube.com")) + async def test_info_url(self, reddit): + results = await self.async_list(reddit.info(url="youtube.com")) assert len(results) > 0 for item in results: assert isinstance(item, Submission) - async def test_info_sr_names(self): - items = [await self.reddit.subreddit("redditdev"), "reddit.com", "t:1337", "nl"] - item_generator = self.reddit.info(subreddits=items) - with self.use_cassette(): - results = await self.async_list(item_generator) + async def test_info_sr_names(self, reddit): + items = [await reddit.subreddit("redditdev"), "reddit.com", "t:1337", "nl"] + item_generator = reddit.info(subreddits=items) + results = await self.async_list(item_generator) assert len(results) == 4 for item in results: assert isinstance(item, Subreddit) - @mock.patch("asyncio.sleep", return_value=None) - async def test_live_call(self, _): + async def test_live_call(self, reddit): thread_id = "ukaeu1ik4sw5" - with self.use_cassette(): - thread = await self.reddit.live(thread_id, fetch=True) - assert thread.title == "reddit updates" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_live_create(self, _): - self.reddit.read_only = False - with self.use_cassette(): - live = await self.reddit.live.create("PRAW Create Test") - assert isinstance(live, LiveThread) - await live._fetch() - assert live.title == "PRAW Create Test" - - @mock.patch("asyncio.sleep", return_value=None) - async def test_live_info__contain_invalid_id(self, _): - gen = self.reddit.live.info(["invalid"]) - with self.use_cassette(): - with pytest.raises(ServerError): - await self.async_list(gen) - - @mock.patch("asyncio.sleep", return_value=None) - async def test_live_info(self, _): + thread = await reddit.live(thread_id, fetch=True) + assert thread.title == "reddit updates" + + async def test_live_create(self, reddit): + reddit.read_only = False + live = await reddit.live.create("PRAW Create Test") + assert isinstance(live, LiveThread) + await live._fetch() + assert live.title == "PRAW Create Test" + + async def test_live_info__contain_invalid_id(self, reddit): + gen = reddit.live.info(["invalid"]) + with pytest.raises(ServerError): + await self.async_list(gen) + + async def test_live_info(self, reddit): ids = """ ta40aifzobnv ta40l9u2ermf ta40ucdiq366 ta416hjgvbhy ta41ln5vsyaz ta42cyzy1nze ta42i49806k0 ta436ojd653m ta43945wgmaa ta43znjvza9t @@ -141,124 +117,105 @@ async def test_live_info(self, _): ta72azs1l4u9 ta74r3dp2pt5 ta7pfcqdx9cl ta8zxbt2sk6z ta94nde51q4i """.split() - gen = self.reddit.live.info(ids) - with self.use_cassette(): - threads = await self.async_list(gen) + gen = reddit.live.info(ids) + threads = await self.async_list(gen) assert len(threads) > 100 assert all(isinstance(thread, LiveThread) for thread in threads) thread_ids = [thread.id for thread in threads] assert thread_ids == ids - # async def test_live_now__featured(self): # TODO: record when something is featured - # with self.use_cassette(): - # thread = await self.reddit.live.now() + # async def test_live_now__featured(self, reddit): # TODO: record when something is featured + # thread = await reddit.live.now() # assert isinstance(thread, LiveThread) # assert thread.id == "z2f981agq7ky" - async def test_live_now__no_featured(self): - with self.use_cassette(): - now = await self.reddit.live.now() - assert now is None - - async def test_notes__call__(self): - self.reddit.read_only = False - with self.use_cassette(): - notes = await self.async_list( - self.reddit.notes( - pairs=[ - ( - await self.reddit.subreddit( - pytest.placeholders.test_subreddit - ), - "Watchful1", - ), - ( - pytest.placeholders.test_subreddit, - await self.reddit.redditor("Watchful12"), - ), - (pytest.placeholders.test_subreddit, "spez"), - ], - things=[await self.reddit.submission("uflrmv")], - ) + async def test_live_now__no_featured(self, reddit): + now = await reddit.live.now() + assert now is None + + async def test_notes__call__(self, reddit): + reddit.read_only = False + notes = await self.async_list( + reddit.notes( + pairs=[ + ( + await reddit.subreddit(pytest.placeholders.test_subreddit), + "Watchful1", + ), + ( + pytest.placeholders.test_subreddit, + await reddit.redditor("Watchful12"), + ), + (pytest.placeholders.test_subreddit, "spez"), + ], + things=[await reddit.submission("uflrmv")], ) - assert len(notes) == 4 - assert notes[0].user.name.lower() == "watchful1" - assert notes[1].user.name.lower() == "watchful12" - assert notes[2] is None - - async def test_notes__things(self): - self.reddit.read_only = False - with self.use_cassette(): - thing = await self.reddit.submission("uflrmv") - notes = await self.async_list(self.reddit.notes.things(thing)) - assert len(notes) == 9 - assert notes[0].user == thing.author - - async def test_random_subreddit(self): + ) + assert len(notes) == 4 + assert notes[0].user.name.lower() == "watchful1" + assert notes[1].user.name.lower() == "watchful12" + assert notes[2] is None + + async def test_notes__things(self, reddit): + reddit.read_only = False + thing = await reddit.submission("uflrmv") + notes = await self.async_list(reddit.notes.things(thing)) + assert len(notes) == 9 + assert notes[0].user == thing.author + + async def test_random_subreddit(self, reddit): names = set() - with self.use_cassette(): - for i in range(3): - sub = await self.reddit.random_subreddit() - names.add(sub.display_name) + for i in range(3): + sub = await reddit.random_subreddit() + names.add(sub.display_name) assert len(names) == 3 - async def test_subreddit_with_randnsfw(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("randnsfw") - assert subreddit.display_name != "randnsfw" - assert subreddit.over18 + async def test_subreddit_with_randnsfw(self, reddit): + subreddit = await reddit.subreddit("randnsfw") + assert subreddit.display_name != "randnsfw" + assert subreddit.over18 - async def test_subreddit_with_random(self): - with self.use_cassette(): - subreddit = await self.reddit.subreddit("random") - assert subreddit.display_name != "random" + async def test_subreddit_with_random(self, reddit): + subreddit = await reddit.subreddit("random") + assert subreddit.display_name != "random" - async def test_username_available__available(self): + async def test_username_available__available(self, reddit): fake_user = "prawtestuserabcd1234" - with self.use_cassette(): - assert await self.reddit.username_available(fake_user) + assert await reddit.username_available(fake_user) - async def test_username_available__unavailable(self): - with self.use_cassette(): - assert not await self.reddit.username_available("bboe") + async def test_username_available__unavailable(self, reddit): + assert not await reddit.username_available("bboe") - async def test_username_available_exception(self): - with self.use_cassette(): - with pytest.raises(RedditAPIException) as exc: - await self.reddit.username_available("a") - assert str(exc.value) == "BAD_USERNAME: 'invalid user name' on field 'user'" + async def test_username_available_exception(self, reddit): + with pytest.raises(RedditAPIException) as exc: + await reddit.username_available("a") + assert str(exc.value) == "BAD_USERNAME: 'invalid user name' on field 'user'" class TestDomainListing(IntegrationTest): - async def test_controversial(self): - with self.use_cassette(): - submissions = await self.async_list( - self.reddit.domain("youtube.com").controversial() - ) + async def test_controversial(self, reddit): + submissions = await self.async_list( + reddit.domain("youtube.com").controversial() + ) assert len(submissions) == 100 - async def test_hot(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.domain("youtube.com").hot()) + async def test_hot(self, reddit): + submissions = await self.async_list(reddit.domain("youtube.com").hot()) assert len(submissions) == 100 - async def test_new(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.domain("youtube.com").new()) + async def test_new(self, reddit): + submissions = await self.async_list(reddit.domain("youtube.com").new()) assert len(submissions) == 100 - async def test_random_rising(self): - with self.use_cassette(): - submissions = await self.async_list( - self.reddit.domain("youtube.com").random_rising() - ) + async def test_random_rising(self, reddit): + submissions = await self.async_list( + reddit.domain("youtube.com").random_rising() + ) assert len(submissions) == 100 - async def test_rising(self): - with self.use_cassette(): - await self.async_list(self.reddit.domain("youtube.com").rising()) + async def test_rising(self, reddit): + await self.async_list(reddit.domain("youtube.com").rising()) - async def test_top(self): - with self.use_cassette(): - submissions = await self.async_list(self.reddit.domain("youtube.com").top()) + async def test_top(self, reddit): + submissions = await self.async_list(reddit.domain("youtube.com").top()) assert len(submissions) == 100 diff --git a/tests/integration/utils.py b/tests/integration/utils.py new file mode 100644 index 000000000..4a96c6bf8 --- /dev/null +++ b/tests/integration/utils.py @@ -0,0 +1,141 @@ +"""Pytest utils for integration tests.""" + +import json +import os +from datetime import datetime + +import pytest +from vcr.persisters.filesystem import FilesystemPersister +from vcr.serialize import deserialize, serialize + +from tests.conftest import placeholders + + +class CustomPersister(FilesystemPersister): + @classmethod + def load_cassette(cls, cassette_path, serializer): + try: + with open(cassette_path) as f: + cassette_content = f.read() + except OSError: + raise ValueError("Cassette not found.") + for replacement, value in [ + (v, f"<{k.upper()}>") for k, v in placeholders.items() + ]: + cassette_content = cassette_content.replace(value, replacement) + cassette = deserialize(cassette_content, serializer) + return cassette + + @staticmethod + def save_cassette(cassette_path, cassette_dict, serializer): + cassette_dict["recorded_at"] = datetime.now().isoformat()[:-7] + data = serialize(cassette_dict, serializer) + for replacement, value in [ + (f"<{k.upper()}>", v) for k, v in placeholders.items() + ]: + data = data.replace(value, replacement) + dirname, filename = os.path.split(cassette_path) + if dirname and not os.path.exists(dirname): + os.makedirs(dirname) + with open(cassette_path, "w") as f: + f.write(data) + + +class CustomSerializer: + @staticmethod + def _serialize_file(file_name): + with open(file_name, "rb") as f: + return f.read().decode("utf-8", "replace") + + @classmethod + def _serialize_dict(cls, data: dict): + """This is to filter out buffered readers.""" + new_dict = {} + for key, value in data.items(): + if key == "file": + new_dict[key] = cls._serialize_file(value.name) + elif isinstance(value, dict): + new_dict[key] = cls._serialize_dict(value) + elif isinstance(value, list): + new_dict[key] = cls._serialize_list(value) + else: + new_dict[key] = value + return new_dict + + @classmethod + def _serialize_list(cls, data: list): + new_list = [] + for item in data: + if isinstance(item, dict): + new_list.append(cls._serialize_dict(item)) + elif isinstance(item, list): + new_list.append(cls._serialize_list(item)) + elif isinstance(item, tuple): + if item[0] == "file": + item = (item[0], cls._serialize_file(item[1].name)) + new_list.append(item) + else: + new_list.append(item) + return new_list + + @classmethod + def serialize(cls, cassette_dict): + return f"{json.dumps(cls._serialize_dict(cassette_dict), sort_keys=True, indent=2)}\n" + + @staticmethod + def deserialize(cassette_string): + return json.loads(cassette_string) + + +def ensure_environment_variables(): + """Ensure needed environment variables for recording a new cassette are set.""" + for key in ( + "client_id", + "client_secret", + ): + if getattr(pytest.placeholders, key) == f"placeholder_{key}": + raise ValueError( + f"Environment variable 'prawtest_{key}' must be set for recording new " + " cassettes." + ) + auth_set = False + for auth_keys in [["refresh_token"], ["username", "password"]]: + if all( + getattr(pytest.placeholders, key) != f"placeholder_{key}" + for key in auth_keys + ): + auth_set = True + break + if not auth_set: + raise ValueError( + "Environment variables 'prawtest_refresh_token' or 'prawtest_username'" + " and 'prawtest_password' must be set for new cassette recording." + ) + + +def ensure_integration_test(cassette): + if cassette.write_protected: + is_integration_test = cassette.play_count > 0 + action = "play back" + else: + is_integration_test = cassette.dirty + action = "record" + message = f"Cassette did not {action} any requests. This test can be a unit test." + assert is_integration_test, message + + +def filter_access_token(response): + """Add VCR callback to filter access token.""" + request_uri = response["url"] + if "api/v1/access_token" not in request_uri or response["status"]["code"] != 200: + return response + body = response["body"]["string"].decode() + try: + token = json.loads(body)["access_token"] + response["body"]["string"] = response["body"]["string"].replace( + token.encode("utf-8"), b"" + ) + placeholders["access_token"] = token + except (KeyError, TypeError, ValueError): + pass + return response diff --git a/tests/unit/conftest.py b/tests/unit/conftest.py index c00e79ebe..9cfdf4bd6 100644 --- a/tests/unit/conftest.py +++ b/tests/unit/conftest.py @@ -1,12 +1,19 @@ +"""Prepare pytest for unit tests.""" import pytest from asyncpraw import Reddit +async def dummy_request(*args, **kwargs): + pass + + @pytest.fixture async def reddit(): + """Return an instance of :class:`.Reddit` that doesn't make requests to Reddit.""" async with Reddit( client_id="dummy", client_secret="dummy", user_agent="dummy" ) as reddit: # Unit tests should never issue requests + reddit._core.request = dummy_request yield reddit diff --git a/tests/unit/models/list/test_base.py b/tests/unit/models/list/test_base.py index d36e8ceb9..354b37dfb 100644 --- a/tests/unit/models/list/test_base.py +++ b/tests/unit/models/list/test_base.py @@ -18,11 +18,11 @@ def __init__(self): class TestBaseList(UnitTest): - def setup_method(self, _): - self._prev_child_attribute = BaseList.CHILD_ATTRIBUTE - - def teardown_method(self, _): - BaseList.CHILD_ATTRIBUTE = self._prev_child_attribute + @pytest.fixture(autouse=True) + def _patch_base_list(self): + _prev_child_attribute = BaseList.CHILD_ATTRIBUTE + yield + BaseList.CHILD_ATTRIBUTE = _prev_child_attribute def test__init__CHILD_ATTRIBUTE_not_set(self): with pytest.raises(NotImplementedError): diff --git a/tests/unit/models/reddit/test_subreddit.py b/tests/unit/models/reddit/test_subreddit.py index a6aa29fc3..083b38c3c 100644 --- a/tests/unit/models/reddit/test_subreddit.py +++ b/tests/unit/models/reddit/test_subreddit.py @@ -94,9 +94,7 @@ async def test_invalid_media( }, ) @mock.patch("aiohttp.client.ClientSession.ws_connect") - async def test_media_upload_500( - self, connection_mock, _mock_post, mock_method, reddit - ): + async def test_media_upload_500(self, connection_mock, _mock_post, mock_method, reddit): from aiohttp.http_exceptions import HttpProcessingError from asyncprawcore.exceptions import ServerError diff --git a/tests/unit/models/test_preferences.py b/tests/unit/models/test_preferences.py new file mode 100644 index 000000000..2a88df8cc --- /dev/null +++ b/tests/unit/models/test_preferences.py @@ -0,0 +1,10 @@ +"""Test asyncpraw.models.preferences.""" +from asyncpraw.models import Preferences + +from .. import UnitTest + + +class TestPreferences(UnitTest): + def test_creation(self, reddit): + prefs_obj = reddit.user.preferences + assert isinstance(prefs_obj, Preferences) diff --git a/tests/unit/test_deprecations.py b/tests/unit/test_deprecations.py index 7d10e5c8b..0711b997a 100644 --- a/tests/unit/test_deprecations.py +++ b/tests/unit/test_deprecations.py @@ -10,20 +10,16 @@ from . import UnitTest -pytestmark = pytest.mark.filterwarnings( - "ignore:Unclosed client session", category=ResourceWarning -) - @pytest.mark.filterwarnings("error", category=DeprecationWarning) class TestDeprecation(UnitTest): def test_api_exception(self): exc = APIException(["test", "testing", "test"]) - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): exc.error_type - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): exc.message - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): exc.field async def test_comment_forest_async_iterator(self, reddit): @@ -47,16 +43,19 @@ async def test_conversations_after_argument(self, reddit): subreddit.modmail.conversations(after="after") async def test_gild_method(self, reddit): - with pytest.raises(DeprecationWarning) as excinfo: + with pytest.deprecated_call() as warning_info: submission = await reddit.submission("1234", fetch=False) await submission.gild() - assert excinfo.value.args[0] == "'.gild' has been renamed to '.award'." + assert ( + str(warning_info.list[0].message) + == "'.gild' has been renamed to '.award'." + ) def test_gold_method(self, reddit): - with pytest.raises(DeprecationWarning) as excinfo: + with pytest.deprecated_call() as warning_info: reddit.subreddits.gold() assert ( - excinfo.value.args[0] + str(warning_info.list[0].message) == "'subreddits.gold' has be renamed to 'subreddits.premium'." ) @@ -73,32 +72,32 @@ def test_praw_exception_rename(self): with pytest.raises(AsyncPRAWException): Reddit() - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): import asyncpraw asyncpraw.exceptions.PRAWException - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): from asyncpraw import exceptions exceptions.PRAWException - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): from asyncpraw.exceptions import PRAWException # noqa: F401 async def test_reddit_token_manager(self): - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): async with Reddit( token_manager=FileTokenManager("name"), client_id="dummy", client_secret=None, redirect_uri="dummy", user_agent="dummy", - ) as reddit: - reddit._core._requestor._http = None + ): + pass async def test_reddit_user_me_read_only(self, reddit): - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): await reddit.user.me() async def test_submission_comments_async(self, reddit): @@ -108,11 +107,11 @@ async def test_submission_comments_async(self, reddit): await submission.comments() async def test_subreddit_rules_call(self, reddit): - with pytest.raises(DeprecationWarning) as excinfo: + with pytest.deprecated_call() as warning_info: subreddit = Subreddit(reddit, display_name="test") await subreddit.rules() assert ( - excinfo.value.args[0] + str(warning_info.list[0].message) == "Calling SubredditRules to get a list of rules is deprecated. Remove the" " parentheses to use the iterator. View the Async PRAW documentation on how" " to change the code in order to use the iterator" @@ -120,11 +119,11 @@ async def test_subreddit_rules_call(self, reddit): ) async def test_synchronous_context_manager(self, reddit): - with pytest.raises(DeprecationWarning) as excinfo: + with pytest.deprecated_call() as warning_info: with reddit: pass assert ( - excinfo.value.args[0] + str(warning_info.list[0].message) == "Using this class as a synchronous context manager is deprecated and" " will be removed in the next release. Use this class as an" " asynchronous context manager instead." @@ -150,20 +149,20 @@ def test_user_subreddit_as_dict(self): ) def test_validate_on_submit(self, reddit): - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): reddit.validate_on_submit reddit.validate_on_submit = True assert reddit.validate_on_submit reddit.validate_on_submit = False - with pytest.raises(DeprecationWarning): + with pytest.deprecated_call(): reddit.validate_on_submit def test_web_socket_exception_attribute(self): exc = WebSocketException("Test", Exception("Test")) - with pytest.raises(DeprecationWarning) as excinfo: + with pytest.deprecated_call() as warning_info: _ = exc.original_exception assert ( - excinfo.value.args[0] + str(warning_info.list[0].message) == "Accessing the attribute 'original_exception' is deprecated. Please" " rewrite your code in such a way that this attribute does not need to" " be used. It will be removed in Async PRAW 8.0." diff --git a/tests/unit/test_reddit.py b/tests/unit/test_reddit.py index fd89df00b..bd8d483c1 100644 --- a/tests/unit/test_reddit.py +++ b/tests/unit/test_reddit.py @@ -462,20 +462,27 @@ async def test_request__badrequest_with_no_json_body(self, mock_session): side_effect=BadRequest(response=response) ) - reddit = Reddit(client_id="dummy", client_secret="dummy", user_agent="dummy") - with pytest.raises(Exception) as excinfo: - await reddit.request(method="POST", path="/") + async with Reddit( + client_id="dummy", client_secret="dummy", user_agent="dummy" + ) as reddit: + with pytest.raises(Exception) as excinfo: + await reddit.request(method="POST", path="/") assert str(excinfo.value) == "received 400 HTTP response" async def test_request__json_and_body(self): - reddit = Reddit(client_id="dummy", client_secret="dummy", user_agent="dummy") - with pytest.raises(ClientException) as excinfo: - await reddit.request( - data={"key": "value"}, json={"key": "value"}, method="POST", path="/" + async with Reddit( + client_id="dummy", client_secret="dummy", user_agent="dummy" + ) as reddit: + with pytest.raises(ClientException) as excinfo: + await reddit.request( + data={"key": "value"}, + json={"key": "value"}, + method="POST", + path="/", + ) + assert str(excinfo.value).startswith( + "At most one of 'data' or 'json' is supported." ) - assert str(excinfo.value).startswith( - "At most one of 'data' or 'json' is supported." - ) async def test_submission(self, reddit): submission = await reddit.submission("2gmzqe", fetch=False) @@ -511,13 +518,14 @@ class CustomRequestor(Requestor): assert isinstance(temp_reddit._core._requestor, CustomRequestor) assert not isinstance(reddit._core._requestor, CustomRequestor) - async def test_requestor_kwargs(self): + def test_requestor_kwargs(self): session = AsyncMock(headers={}) - reddit = Reddit( - requestor_kwargs={"session": session}, - client_id="dummy", - client_secret="dummy", - user_agent="dummy", + assert ( + Reddit( + requestor_kwargs={"session": session}, + client_id="dummy", + client_secret="dummy", + user_agent="dummy", + )._core._requestor._http + is session ) - - assert reddit._core._requestor._http is session diff --git a/tests/unit/util/test_deprecate_args.py b/tests/unit/util/test_deprecate_args.py index 0ab567edf..831ff6e3f 100644 --- a/tests/unit/util/test_deprecate_args.py +++ b/tests/unit/util/test_deprecate_args.py @@ -211,7 +211,8 @@ def pytest_generate_tests(metafunc): @pytest.mark.filterwarnings("error", category=DeprecationWarning) class TestDeprecateArgs(UnitTest): - def setup_method(self, _): + @pytest.fixture(autouse=True) + def arg_test(self): self.arg_test = ArgTest() params = { diff --git a/tests/unit/util/test_token_manager.py b/tests/unit/util/test_token_manager.py index 82335e6c4..b1fc80f30 100644 --- a/tests/unit/util/test_token_manager.py +++ b/tests/unit/util/test_token_manager.py @@ -47,7 +47,8 @@ def test_reddit__must_only_be_set_once(self): class TestFileTokenManager(UnitTest): - def setup(self): + @pytest.fixture(autouse=True) + def _patch_aiofiles(self): aiofiles.threadpool.wrap.register(mock.MagicMock)( lambda *args, **kwargs: aiofiles.threadpool.AsyncBufferedIOBase( *args, **kwargs @@ -102,17 +103,18 @@ async def test_pre_refresh_token_callback__reads_from_file(self): class TestSQLiteTokenManager(UnitTest): - def setup(self): - self.manager = SQLiteTokenManager(database=":memory:", key="dummy_key") + @pytest.fixture + def manager(self): + return SQLiteTokenManager(database=":memory:", key="dummy_key") - async def test_is_registered(self): - assert not await self.manager.is_registered() - await self.manager.close() + async def test_is_registered(self, manager): + assert not await manager.is_registered() + await manager.close() @pytest.mark.skipif( sys.platform.startswith("win"), reason="this test fails on windows" ) - async def test_multiple_instances(self): + async def test_multiple_instances(self, manager): with NamedTemporaryFile() as fp: manager1 = SQLiteTokenManager(database=fp.name, key="dummy_key1") manager2 = SQLiteTokenManager(database=fp.name, key="dummy_key1") @@ -125,41 +127,41 @@ async def test_multiple_instances(self): await manager2.close() await manager3.close() - async def test_post_refresh_token_callback__sets_value(self): + async def test_post_refresh_token_callback__sets_value(self, manager): authorizer = DummyAuthorizer("dummy_value") - await self.manager.post_refresh_callback(authorizer) + await manager.post_refresh_callback(authorizer) assert authorizer.refresh_token is None - assert await self.manager._get() == "dummy_value" - await self.manager.close() + assert await manager._get() == "dummy_value" + await manager.close() - async def test_post_refresh_token_callback__updates_value(self): + async def test_post_refresh_token_callback__updates_value(self, manager): authorizer = DummyAuthorizer("dummy_value_updated") - await self.manager.register("dummy_value") + await manager.register("dummy_value") - await self.manager.post_refresh_callback(authorizer) + await manager.post_refresh_callback(authorizer) assert authorizer.refresh_token is None - assert await self.manager._get() == "dummy_value_updated" - await self.manager.close() + assert await manager._get() == "dummy_value_updated" + await manager.close() - async def test_pre_refresh_token_callback(self): + async def test_pre_refresh_token_callback(self, manager): authorizer = DummyAuthorizer(None) - await self.manager.register("dummy_value") + await manager.register("dummy_value") - await self.manager.pre_refresh_callback(authorizer) + await manager.pre_refresh_callback(authorizer) assert authorizer.refresh_token == "dummy_value" - await self.manager.close() + await manager.close() - async def test_pre_refresh_token_callback__raises_key_error(self): + async def test_pre_refresh_token_callback__raises_key_error(self, manager): authorizer = DummyAuthorizer(None) with pytest.raises(KeyError): - await self.manager.pre_refresh_callback(authorizer) - await self.manager.close() - - async def test_register(self): - assert await self.manager.register("dummy_value") - assert await self.manager.is_registered() - assert not await self.manager.register("dummy_value2") - assert await self.manager._get() == "dummy_value" - await self.manager.close() + await manager.pre_refresh_callback(authorizer) + await manager.close() + + async def test_register(self, manager): + assert await manager.register("dummy_value") + assert await manager.is_registered() + assert not await manager.register("dummy_value2") + assert await manager._get() == "dummy_value" + await manager.close() From 43d257bebb0b35cdfebd8123a318b55ab0a2d734 Mon Sep 17 00:00:00 2001 From: LilSpazJoekp <15524072+LilSpazJoekp@users.noreply.github.com> Date: Tue, 6 Dec 2022 19:56:06 -0600 Subject: [PATCH 2/4] General cleanup --- .pre-commit-config.yaml | 1 - .readthedocs.yml | 2 +- MANIFEST.in | 4 ---- pyproject.toml | 5 +++++ pytest.ini | 5 ----- setup.cfg | 2 -- setup.py | 2 +- tests/integration/test_github_actions.py | 12 ++++++------ tests/unit/models/reddit/test_subreddit.py | 12 +++++------- tests/unit/models/reddit/test_widgets.py | 5 +---- tests/unit/test_reddit.py | 8 ++++---- tools/bump_version.py | 2 +- tools/check_documentation.py | 2 +- tools/generate_award_table.py | 0 tools/set_version.py | 2 +- tools/static_word_checks.py | 2 +- tox.ini | 20 +++----------------- 17 files changed, 30 insertions(+), 56 deletions(-) delete mode 100644 pytest.ini delete mode 100644 setup.cfg delete mode 100755 tools/generate_award_table.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 72498aa33..8da493253 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -32,7 +32,6 @@ repos: - repo: https://github.com/LilSpazJoekp/docstrfmt hooks: - id: docstrfmt - require_serial: true rev: v1.5.1 - repo: https://github.com/pycqa/flake8 diff --git a/.readthedocs.yml b/.readthedocs.yml index 265656b33..1c267e2f6 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -6,5 +6,5 @@ python: extra_requirements: - readthedocs path: . - version: 3.8 + version: '3.8' version: 2 diff --git a/MANIFEST.in b/MANIFEST.in index 3282d801d..458499782 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,7 +1,3 @@ include CHANGES.rst LICENSE.txt README.rst praw_license.txt include asyncpraw/praw.ini include "asyncpraw/images/PRAW logo.png" -include docs/Makefile -recursive-include docs *.png *.py *.rst -recursive-include tests *.json *.py -recursive-include tests/files * diff --git a/pyproject.toml b/pyproject.toml index 1bd8d753f..da3215712 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,3 +8,8 @@ extend_exclude = ['./docs/examples/'] [tool.isort] profile = 'black' skip_glob = '.venv*' + +[tool.pytest.ini_options] +asyncio_mode = "auto" +filterwarnings = "ignore::DeprecationWarning" +testpaths = "tests" diff --git a/pytest.ini b/pytest.ini deleted file mode 100644 index ae8eecb64..000000000 --- a/pytest.ini +++ /dev/null @@ -1,5 +0,0 @@ -[pytest] -testpaths = tests -filterwarnings = - ignore::DeprecationWarning -asyncio_mode = auto diff --git a/setup.cfg b/setup.cfg deleted file mode 100644 index 31ad82b6a..000000000 --- a/setup.cfg +++ /dev/null @@ -1,2 +0,0 @@ -[aliases] -test = pytest diff --git a/setup.py b/setup.py index 298d8c7a9..a57ed7e67 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ with open(path.join(HERE, "README.rst"), encoding="utf-8") as fp: README = fp.read() with open(path.join(HERE, PACKAGE_NAME, "const.py"), encoding="utf-8") as fp: - VERSION = re.search('__version__ = "([^"]+)"', fp.read()).group(1) + VERSION = re.search(r'__version__ = "([^"]+)"', fp.read()).group(1) extras = { "ci": ["coveralls"], diff --git a/tests/integration/test_github_actions.py b/tests/integration/test_github_actions.py index d47f25d55..e926f76df 100644 --- a/tests/integration/test_github_actions.py +++ b/tests/integration/test_github_actions.py @@ -17,12 +17,12 @@ reason="Not running from the NETWORK_TEST ci task on praw-dev/asyncpraw", ) async def test_github_actions(): - reddit = Reddit( + async with Reddit( client_id=os.getenv("NETWORK_TEST_CLIENT_ID"), client_secret=os.getenv("NETWORK_TEST_CLIENT_SECRET"), user_agent="GitHub Actions CI Testing", - ) - subreddit = await reddit.subreddit("all") - async for submission in subreddit.hot(): - assert isinstance(submission, Submission) - break + ) as reddit: + subreddit = await reddit.subreddit("all") + async for submission in subreddit.hot(): + assert isinstance(submission, Submission) + break diff --git a/tests/unit/models/reddit/test_subreddit.py b/tests/unit/models/reddit/test_subreddit.py index 083b38c3c..310792aff 100644 --- a/tests/unit/models/reddit/test_subreddit.py +++ b/tests/unit/models/reddit/test_subreddit.py @@ -67,9 +67,7 @@ def test_hash(self, reddit): return_value=("fake_media_url", "fake_websocket_url"), ) @mock.patch("aiohttp.client.ClientSession.ws_connect") - async def test_invalid_media( - self, connection_mock, _mock_upload_media, _mock_post, reddit - ): + async def test_invalid_media(self, connection_mock, _, __, reddit): reddit._core._requestor._http = aiohttp.ClientSession() recv_mock = MagicMock() recv_mock.receive_json = AsyncMock( @@ -94,13 +92,13 @@ async def test_invalid_media( }, ) @mock.patch("aiohttp.client.ClientSession.ws_connect") - async def test_media_upload_500(self, connection_mock, _mock_post, mock_method, reddit): + async def test_media_upload_500(self, _, __, mock_method, reddit): from aiohttp.http_exceptions import HttpProcessingError from asyncprawcore.exceptions import ServerError - response = mock.Mock() + response = MagicMock() response.status = 201 - response.raise_for_status = mock.Mock( + response.raise_for_status = MagicMock( side_effect=HttpProcessingError(code=500, message="") ) mock_method.return_value = response @@ -132,7 +130,7 @@ def test_str(self, reddit): subreddit = Subreddit(reddit, _data={"display_name": "name", "id": "dummy"}) assert str(subreddit) == "name" - async def test_submit_failure(self, reddit): + async def test_submit__failure(self, reddit): message = "Either 'selftext' or 'url' must be provided." subreddit = Subreddit(reddit, display_name="name") diff --git a/tests/unit/models/reddit/test_widgets.py b/tests/unit/models/reddit/test_widgets.py index 61f571db9..b791d8735 100644 --- a/tests/unit/models/reddit/test_widgets.py +++ b/tests/unit/models/reddit/test_widgets.py @@ -37,10 +37,7 @@ def test_good_encode(self, reddit): assert '[1, "two", {"3": 3}, "four"]' == dumps(data, cls=WidgetEncoder) -class TestWidgets(UnitTest): - def test_subredditwidgets_mod(self, reddit): - sw = SubredditWidgets(Subreddit(reddit, "fake_subreddit")) - assert isinstance(sw.mod, SubredditWidgetsModeration) +class TestSubredditWidgets(UnitTest): def test_widget_mod(self, reddit): w = Widget(reddit, {}) diff --git a/tests/unit/test_reddit.py b/tests/unit/test_reddit.py index bd8d483c1..4f44292a9 100644 --- a/tests/unit/test_reddit.py +++ b/tests/unit/test_reddit.py @@ -8,10 +8,10 @@ if sys.version_info < (3, 8): from asynctest import CoroutineMock as AsyncMock - from asynctest import mock + from asynctest import MagicMock, mock else: from unittest import mock - from unittest.mock import AsyncMock + from unittest.mock import AsyncMock, MagicMock from asyncpraw import Reddit, __version__ from asyncpraw.config import Config @@ -456,9 +456,9 @@ def test_reddit__site_name_no_section(self): @mock.patch("asyncprawcore.sessions.Session") async def test_request__badrequest_with_no_json_body(self, mock_session): - response = mock.Mock(status=400, text=AsyncMock(return_value="")) + response = MagicMock(status=400, text=AsyncMock(return_value="")) response.json.side_effect = ValueError - mock_session.return_value.request = mock.Mock( + mock_session.return_value.request = MagicMock( side_effect=BadRequest(response=response) ) diff --git a/tools/bump_version.py b/tools/bump_version.py index a4893def9..893df3d57 100755 --- a/tools/bump_version.py +++ b/tools/bump_version.py @@ -8,7 +8,7 @@ def main(): line = sys.stdin.readline() if not line.startswith(COMMIT_PREFIX): sys.stderr.write( - f"Commit message does not begin with `{COMMIT_PREFIX}`.\nMessage:\n\n{line}" + f"Commit message does not begin with '{COMMIT_PREFIX}'.\nMessage:\n\n{line}" ) return 1 print(line[len(COMMIT_PREFIX) : -1]) diff --git a/tools/check_documentation.py b/tools/check_documentation.py index 1e172af64..4050772b8 100644 --- a/tools/check_documentation.py +++ b/tools/check_documentation.py @@ -27,7 +27,7 @@ class DocumentationChecker: ModmailObject, # is never publicly accessed } HAS_CODE_BLOCK = re.compile(r".. code-block::") - HAS_ATTRIBUTE_TABLE = re.compile(r"Attribute[ ]+Description") + HAS_ATTRIBUTE_TABLE = re.compile(r"Attribute +Description") METHOD_EXCEPTIONS = {"from_data", "id_from_url", "parse", "sluggify", "gild"} subclasses = set() diff --git a/tools/generate_award_table.py b/tools/generate_award_table.py deleted file mode 100755 index e69de29bb..000000000 diff --git a/tools/set_version.py b/tools/set_version.py index 3d85f2e62..1c5f86014 100755 --- a/tools/set_version.py +++ b/tools/set_version.py @@ -7,7 +7,7 @@ CHANGELOG_HEADER = ( "Change Log\n==========\n\n" - "Async PRAW follows `semantic versioning `_.\n\n" + "Async PRAW follows `semantic versioning `_.\n\n" ) UNRELEASED_HEADER = "Unreleased\n----------\n\n" diff --git a/tools/static_word_checks.py b/tools/static_word_checks.py index 4e3f98993..d97612e0a 100644 --- a/tools/static_word_checks.py +++ b/tools/static_word_checks.py @@ -10,7 +10,7 @@ class StaticChecker: def __init__(self, replace: bool): """Initialize a :class:`.StaticChecker` instance. - :param replace: Whether or not to make replacements. + :param replace: Whether to make replacements. """ self.full_file_checks = [ diff --git a/tox.ini b/tox.ini index 40b452ce4..2d4ac9203 100644 --- a/tox.ini +++ b/tox.ini @@ -1,22 +1,8 @@ [tox] -envlist = py36,py37,py38 -skip_missing_interpreters = true -skipsdist = true +envlist = py37,py38,py39,py310 +skip_missing_interpreters = false [testenv] -deps = - betamax >=0.8, <0.9 - betamax-matchers >=0.3.0, <0.5 - pytest >=2.7.3 - flake8 commands = pytest - flake8 --exclude=.eggs,build,docs -passenv = - prawtest_client_id - prawtest_client_secret - prawtest_password - prawtest_refresh_token - prawtest_test_subreddit - prawtest_username - prawtest_user_agent +extras = dev From 5adbabf5e6a78d17fe6171a2c8f0254b0788ea4f Mon Sep 17 00:00:00 2001 From: LilSpazJoekp <15524072+LilSpazJoekp@users.noreply.github.com> Date: Thu, 8 Dec 2022 16:22:38 -0600 Subject: [PATCH 3/4] Remove unused cassettes --- .../TestComment.test_reply__none.json | 133 --------- .../TestSubreddit.test_create.old.json | 256 ------------------ 2 files changed, 389 deletions(-) delete mode 100644 tests/integration/cassettes/TestComment.test_reply__none.json delete mode 100644 tests/integration/cassettes/TestSubreddit.test_create.old.json diff --git a/tests/integration/cassettes/TestComment.test_reply__none.json b/tests/integration/cassettes/TestComment.test_reply__none.json deleted file mode 100644 index f8b5fa08e..000000000 --- a/tests/integration/cassettes/TestComment.test_reply__none.json +++ /dev/null @@ -1,133 +0,0 @@ -{ - "interactions": [ - { - "request": { - "body": [ - [ - "grant_type", - "refresh_token" - ], - [ - "refresh_token", - "" - ] - ], - "headers": { - "AUTHORIZATION": [ - "Basic " - ], - "Accept-Encoding": [ - "identity" - ], - "Connection": [ - "close" - ], - "User-Agent": [ - " Async PRAW/7.1.1.dev0 asyncprawcore/1.4.0.post1" - ] - }, - "method": "POST", - "uri": "https://www.reddit.com/api/v1/access_token" - }, - "response": { - "body": { - "string": "{\"access_token\": \"\", \"token_type\": \"bearer\", \"expires_in\": 3600, \"scope\": \"account creddits edit flair history identity livemanage modconfig modcontributors modflair modlog modmail modothers modposts modself modtraffic modwiki mysubreddits privatemessages read report save structuredstyles submit subscribe vote wikiedit wikiread\"}" - }, - "headers": { - "Accept-Ranges": "bytes", - "Cache-Control": "max-age=0, must-revalidate", - "Connection": "close", - "Content-Length": "371", - "Content-Type": "application/json; charset=UTF-8", - "Date": "Sun, 05 Jul 2020 23:59:29 GMT", - "Server": "snooserv", - "Set-Cookie": "edgebucket=3qnZ5dWf0P7lmtlnFV; Domain=reddit.com; Max-Age=63071999; Path=/; secure", - "Strict-Transport-Security": "max-age=15552000; includeSubDomains; preload", - "Via": "1.1 varnish", - "X-Cache": "MISS", - "X-Cache-Hits": "0", - "X-Moose": "majestic", - "X-Served-By": "cache-mci5949-MCI", - "X-Timer": "S1593993570.565715,VS0,VE86", - "x-content-type-options": "nosniff", - "x-frame-options": "SAMEORIGIN", - "x-xss-protection": "1; mode=block" - }, - "status": { - "code": 200, - "message": "OK" - }, - "url": "https://www.reddit.com/api/v1/access_token" - } - }, - { - "request": { - "body": [ - [ - "api_type", - "json" - ], - [ - "text", - "TEST" - ], - [ - "thing_id", - "t1_fx1rxr1" - ] - ], - "headers": { - "Accept-Encoding": [ - "identity" - ], - "Authorization": [ - "bearer " - ], - "User-Agent": [ - " Async PRAW/7.1.1.dev0 asyncprawcore/1.4.0.post1" - ] - }, - "method": "POST", - "uri": "https://oauth.reddit.com/api/comment/?raw_json=1" - }, - "response": { - "body": { - "string": "{\"json\": {\"errors\": [], \"data\": {\"things\": [{\"kind\": \"t1\", \"data\": {\"total_awards_received\": 0, \"approved_at_utc\": null, \"edited\": false, \"mod_reason_by\": null, \"banned_by\": null, \"author_flair_type\": \"text\", \"removal_reason\": null, \"link_id\": \"t3_hlx383\", \"author_flair_template_id\": null, \"likes\": true, \"replies\": \"\", \"user_reports\": [], \"saved\": false, \"id\": \"fx1s254\", \"banned_at_utc\": null, \"mod_reason_title\": null, \"gilded\": 0, \"archived\": false, \"no_follow\": false, \"author\": \"\", \"can_mod_post\": false, \"send_replies\": true, \"parent_id\": \"t1_fx1rxr1\", \"score\": 1, \"author_fullname\": \"t2_3ebyblla\", \"approved_by\": null, \"mod_note\": null, \"all_awardings\": [], \"subreddit_id\": \"t5_o5kfp\", \"body\": \"TEST\", \"awarders\": [], \"downs\": 0, \"author_flair_css_class\": null, \"name\": \"t1_fx1s254\", \"author_patreon_flair\": false, \"collapsed\": true, \"author_flair_richtext\": [], \"is_submitter\": false, \"body_html\": \"\\u003Cdiv class=\\\"md\\\"\\u003E\\u003Cp\\u003ETEST\\u003C/p\\u003E\\n\\u003C/div\\u003E\", \"gildings\": {}, \"collapsed_reason\": \"comment score below threshold\", \"distinguished\": null, \"associated_award\": null, \"stickied\": false, \"author_premium\": false, \"can_gild\": false, \"top_awarded_type\": null, \"author_flair_text_color\": null, \"score_hidden\": false, \"permalink\": \"/r/Mayo_town/comments/hlx383/test/fx1s254/\", \"num_reports\": null, \"locked\": false, \"report_reasons\": null, \"created\": 1594022369.0, \"subreddit\": \"Mayo_town\", \"author_flair_text\": null, \"treatment_tags\": [], \"rte_mode\": \"markdown\", \"created_utc\": 1593993569.0, \"subreddit_name_prefixed\": \"r/Mayo_town\", \"controversiality\": 0, \"author_flair_background_color\": null, \"collapsed_because_crowd_control\": null, \"mod_reports\": [], \"subreddit_type\": \"public\", \"ups\": 1}}]}}}" - }, - "headers": { - "Accept-Ranges": "bytes", - "Cache-Control": "private, s-maxage=0, max-age=0, must-revalidate, no-store, max-age=0, must-revalidate", - "Connection": "keep-alive", - "Content-Length": "1743", - "Content-Type": "application/json; charset=UTF-8", - "Date": "Sun, 05 Jul 2020 23:59:30 GMT", - "Expires": "-1", - "Server": "snooserv", - "Set-Cookie": "session_tracker=apkcihlacpogbqdkjb.0.1593993569805.Z0FBQUFBQmZBbWxpUE9jOUo2MlB3dWQ5Y0VwTFdxZUdrOUFFWlc4cUpqRXM1QldpRFNPc0JRNGJuWFlIQzVPMmJUWE5ZLU9WckIxWXJoVk5JOER4c0F1ckprWFJOeGlEZ1NmRmk0ei1GSkNaNUQwenJndW1HX0p0dGJPRHJQT0ZhT3VhYXd1c1Z4UFk; Domain=reddit.com; Max-Age=7199; Path=/; expires=Mon, 06-Jul-2020 01:59:30 GMT; secure", - "Strict-Transport-Security": "max-age=15552000; includeSubDomains; preload", - "Vary": "accept-encoding", - "Via": "1.1 varnish", - "X-Cache": "MISS", - "X-Cache-Hits": "0", - "X-Moose": "majestic", - "X-Served-By": "cache-mci5947-MCI", - "X-Timer": "S1593993570.745048,VS0,VE341", - "x-content-type-options": "nosniff", - "x-frame-options": "SAMEORIGIN", - "x-ratelimit-remaining": "596.0", - "x-ratelimit-reset": "31", - "x-ratelimit-used": "4", - "x-ua-compatible": "IE=edge", - "x-xss-protection": "1; mode=block" - }, - "status": { - "code": 200, - "message": "OK" - }, - "url": "https://oauth.reddit.com/api/comment/?raw_json=1" - } - } - ], - "recorded_at": "2020-07-05T18:59:30", - "version": 1 -} diff --git a/tests/integration/cassettes/TestSubreddit.test_create.old.json b/tests/integration/cassettes/TestSubreddit.test_create.old.json deleted file mode 100644 index 9055a030a..000000000 --- a/tests/integration/cassettes/TestSubreddit.test_create.old.json +++ /dev/null @@ -1,256 +0,0 @@ -{ - "interactions": [ - { - "request": { - "body": [ - [ - "grant_type", - "refresh_token" - ], - [ - "refresh_token", - "" - ] - ], - "headers": { - "AUTHORIZATION": [ - "Basic " - ], - "Accept-Encoding": [ - "identity" - ], - "Connection": [ - "close" - ], - "User-Agent": [ - " Async PRAW/7.1.1.dev0 asyncprawcore/1.4.0.post1" - 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"Content-Length": "24", - "Content-Type": "application/json; charset=UTF-8", - "Date": "Wed, 08 Jul 2020 01:03:20 GMT", - "Expires": "-1", - "Server": "snooserv", - "Set-Cookie": "session_tracker=rhidhnqrfipphfjpdf.0.1594170198985.Z0FBQUFBQmZCUnRZc1hIMWxvbkViVkpMY0s4N1hxY01DU1BWSG9jN3lUWXJMazRhMUpRbTZHemhLR05JcThSaXViVFY0V2E1UVBuaEExaDlzYXNnUElrTkwyd2FQYThNZ2JNQXZManh1RThyZU9PdHVlMHBrNnNvZk0tbzdtM0poUUFzTjkzVDlycmU; Domain=reddit.com; Max-Age=7199; Path=/; expires=Wed, 08-Jul-2020 03:03:20 GMT; secure", - "Strict-Transport-Security": "max-age=15552000; includeSubDomains; preload", - "Via": "1.1 varnish", - "X-Cache": "MISS", - "X-Cache-Hits": "0", - "X-Moose": "majestic", - "X-Served-By": "cache-mci5937-MCI", - "X-Timer": "S1594170199.926959,VS0,VE1099", - "x-content-type-options": "nosniff", - "x-frame-options": "SAMEORIGIN", - "x-ratelimit-remaining": "411.0", - "x-ratelimit-reset": "402", - "x-ratelimit-used": "189", - "x-ua-compatible": "IE=edge", - "x-xss-protection": "1; mode=block" - }, - "status": { - "code": 200, - "message": "OK" - }, - "url": "https://oauth.reddit.com/api/site_admin/?raw_json=1" - } - } - ], - "recorded_at": "2020-07-07T20:03:20", - "version": 1 -} From b701a950c651c677dcd1d11ac0462ca488bec291 Mon Sep 17 00:00:00 2001 From: LilSpazJoekp <15524072+LilSpazJoekp@users.noreply.github.com> Date: Thu, 8 Dec 2022 16:26:45 -0600 Subject: [PATCH 4/4] Convert integration tests that make no requests to unit tests --- .../integration/models/reddit/test_subreddit.py | 16 ---------------- tests/integration/models/reddit/test_widgets.py | 7 ------- tests/unit/models/reddit/test_subreddit.py | 16 +++++++++++++++- tests/unit/models/reddit/test_widgets.py | 17 +++++++++++++++++ 4 files changed, 32 insertions(+), 24 deletions(-) diff --git a/tests/integration/models/reddit/test_subreddit.py b/tests/integration/models/reddit/test_subreddit.py index ffbd5a7ea..a83d7444d 100644 --- a/tests/integration/models/reddit/test_subreddit.py +++ b/tests/integration/models/reddit/test_subreddit.py @@ -473,14 +473,6 @@ async def test_submit_image__bad_websocket(self, _, reddit, image_path): with pytest.raises(ClientException): await subreddit.submit_image("Test Title", image) - async def test_submit_image__bad_filetype(self, reddit): - reddit.read_only = False - subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.mov", "test.mp4"): - image = image_path(file_name) - with pytest.raises(ClientException): - await subreddit.submit_image("Test Title", image) - @mock.patch( "aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock("l6evpd") ) # update with cassette @@ -595,14 +587,6 @@ async def test_submit_video(self, _, reddit, image_path): # for some reason returns false assert submission.title == f"Test Title {i}" - async def test_submit_video__bad_filetype(self, reddit): - reddit.read_only = False - subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) - for file_name in ("test.jpg", "test.png", "test.gif"): - video = image_path(file_name) - with pytest.raises(ClientException): - await subreddit.submit_video("Test Title", video) - @pytest.mark.cassette_name("TestSubreddit.test_submit_video") @mock.patch("aiohttp.client.ClientSession.ws_connect", return_value=WebsocketMock()) async def test_submit_video__bad_websocket(self, _, reddit, image_path): diff --git a/tests/integration/models/reddit/test_widgets.py b/tests/integration/models/reddit/test_widgets.py index e5a81b41d..6e70c9d25 100644 --- a/tests/integration/models/reddit/test_widgets.py +++ b/tests/integration/models/reddit/test_widgets.py @@ -711,13 +711,6 @@ async def test_update(self, reddit): class TestSubredditWidgets(IntegrationTest): - @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") - async def test_bad_attribute(self, reddit): - subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) - widgets = subreddit.widgets - with pytest.raises(AttributeError): - widgets.nonexistant_attribute - @pytest.mark.cassette_name("TestSubredditWidgets.fetch_widgets") async def test_items(self, reddit): subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) diff --git a/tests/unit/models/reddit/test_subreddit.py b/tests/unit/models/reddit/test_subreddit.py index 310792aff..c2283f91e 100644 --- a/tests/unit/models/reddit/test_subreddit.py +++ b/tests/unit/models/reddit/test_subreddit.py @@ -10,7 +10,7 @@ from unittest import mock from unittest.mock import AsyncMock, MagicMock -from asyncpraw.exceptions import MediaPostFailed +from asyncpraw.exceptions import ClientException, MediaPostFailed from asyncpraw.models import InlineGif, InlineImage, InlineVideo, Subreddit, WikiPage from asyncpraw.models.reddit.subreddit import SubredditFlairTemplates @@ -146,6 +146,20 @@ async def test_submit__failure(self, reddit): await subreddit.submit("Cool title", selftext="", url="b") assert str(excinfo.value) == message + async def test_submit_image__bad_filetype(self, reddit, image_path): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.mov", "test.mp4"): + image = image_path(file_name) + with pytest.raises(ClientException): + await subreddit.submit_image("Test Title", image) + + async def test_submit_video__bad_filetype(self, reddit, image_path): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + for file_name in ("test.jpg", "test.png", "test.gif"): + video = image_path(file_name) + with pytest.raises(ClientException): + await subreddit.submit_video("Test Title", video) + async def test_upload_banner_additional_image(self, reddit): subreddit = Subreddit(reddit, display_name="name") with pytest.raises(ValueError): diff --git a/tests/unit/models/reddit/test_widgets.py b/tests/unit/models/reddit/test_widgets.py index b791d8735..47290f0d8 100644 --- a/tests/unit/models/reddit/test_widgets.py +++ b/tests/unit/models/reddit/test_widgets.py @@ -1,5 +1,6 @@ from json import dumps +import pytest from pytest import raises from asyncpraw.models import ( @@ -38,6 +39,22 @@ def test_good_encode(self, reddit): class TestSubredditWidgets(UnitTest): + async def test_bad_attribute(self, reddit): + subreddit = await reddit.subreddit(pytest.placeholders.test_subreddit) + widgets = subreddit.widgets + with pytest.raises(AttributeError): + _ = widgets.nonexistant_attribute + + def test_repr(self, reddit): + widgets = SubredditWidgets(Subreddit(reddit, "fake_subreddit")) + assert ( + "SubredditWidgets(subreddit=Subreddit(display_name='fake_subreddit'))" + == repr(widgets) + ) + + def test_subreddit_widgets_mod(self, reddit): + widgets = SubredditWidgets(Subreddit(reddit, "fake_subreddit")) + assert isinstance(widgets.mod, SubredditWidgetsModeration) def test_widget_mod(self, reddit): w = Widget(reddit, {})