hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2f862ada9247248010284e31df907c653e68a1d3 | 31 | py | Python | python/testData/refactoring/invertBoolean/import.before.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/refactoring/invertBoolean/import.before.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/refactoring/invertBoolean/import.before.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | from my_file import B<caret>OOL | 31 | 31 | 0.83871 | 7 | 31 | 3.571429 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 31 | 1 | 31 | 31 | 0.892857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 1 | null | null | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
c847f2ca58b857af056f568f61534e95da1c6fc7 | 752 | py | Python | tests/test_config_string.py | crystina-z/profane | b467b0d45d37de856e02eb0afad9ff012d215a42 | [
"Apache-2.0"
] | null | null | null | tests/test_config_string.py | crystina-z/profane | b467b0d45d37de856e02eb0afad9ff012d215a42 | [
"Apache-2.0"
] | null | null | null | tests/test_config_string.py | crystina-z/profane | b467b0d45d37de856e02eb0afad9ff012d215a42 | [
"Apache-2.0"
] | null | null | null | import pytest
from profane.cli import config_list_to_dict
def test_config_string_to_dict():
args = ["foo.bar=yes", "main=42"]
assert config_list_to_dict(args) == {"foo": {"bar": "yes"}, "main": "42"}
args = ["foo.bar=yes", "main=42", "foo.bar=override"]
assert config_list_to_dict(args) == {"foo": {"bar": "override"}, "main": "42"}
with pytest.raises(ValueError):
args = ["invalid"]
config_list_to_dict(args)
with pytest.raises(ValueError):
args = ["invalid="]
config_list_to_dict(args)
with pytest.raises(ValueError):
args = ["invalid.=1"]
config_list_to_dict(args)
with pytest.raises(ValueError):
args = [".invalid=1"]
config_list_to_dict(args)
| 26.857143 | 82 | 0.621011 | 99 | 752 | 4.464646 | 0.252525 | 0.108597 | 0.190045 | 0.253394 | 0.785068 | 0.785068 | 0.742081 | 0.742081 | 0.520362 | 0.520362 | 0 | 0.01692 | 0.214096 | 752 | 27 | 83 | 27.851852 | 0.730964 | 0 | 0 | 0.421053 | 0 | 0 | 0.162234 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c854c2d24d9e214dbae16fd96dc990110eb98aec | 130 | py | Python | basic/map.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | 6 | 2020-06-25T14:52:09.000Z | 2021-08-05T20:54:15.000Z | basic/map.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | basic/map.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | def negative(n):
return n*-1
num= [1,2,3,4,5,6,7,8,9]
print(list(map(negative,num)))
print(list(map(lambda a: a**2,num)))
| 13 | 36 | 0.607692 | 29 | 130 | 2.724138 | 0.655172 | 0.227848 | 0.303797 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.098214 | 0.138462 | 130 | 9 | 37 | 14.444444 | 0.607143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0.2 | 0.4 | 0.4 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 |
c06f7ad053f1e8821fb03982959e7620e8b95fa2 | 407 | py | Python | model/__init__.py | SITDIO/auto_attribute_tree | d93bfc597b119c156322c34076bac4a5cee10a86 | [
"BSD-3-Clause"
] | null | null | null | model/__init__.py | SITDIO/auto_attribute_tree | d93bfc597b119c156322c34076bac4a5cee10a86 | [
"BSD-3-Clause"
] | null | null | null | model/__init__.py | SITDIO/auto_attribute_tree | d93bfc597b119c156322c34076bac4a5cee10a86 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) Pablo A Uriza
#
# Licensed under the terms of the BSD 3-Clause License
# (see LICENSE for details)
# -----------------------------------------------------------------------------
"""
Auto Attribute Tree model
"""
from .auto_attribute_tree import AutoAttributeTree
from .pamk import pamk
| 31.307692 | 79 | 0.44226 | 36 | 407 | 4.944444 | 0.777778 | 0.146067 | 0.191011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005525 | 0.110565 | 407 | 12 | 80 | 33.916667 | 0.486188 | 0.764128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c078ca85cfe2cab04e3040532bf6d95ef03f01c7 | 12,181 | py | Python | nodeodm_proxy/tests.py | IS-AgroSmart/MVP | b347e7c846a9a29584a6baee0b825381d5bc62a3 | [
"CNRI-Python"
] | null | null | null | nodeodm_proxy/tests.py | IS-AgroSmart/MVP | b347e7c846a9a29584a6baee0b825381d5bc62a3 | [
"CNRI-Python"
] | 140 | 2020-01-21T15:42:29.000Z | 2021-08-21T18:04:19.000Z | nodeodm_proxy/tests.py | IS-AgroSmart/AgroSmart-Web | b347e7c846a9a29584a6baee0b825381d5bc62a3 | [
"CNRI-Python"
] | 1 | 2021-05-03T06:12:35.000Z | 2021-05-03T06:12:35.000Z | import json
import re
from datetime import datetime
from typing import List
import pytest
from django.urls import reverse
from httpretty import httpretty
from httpretty.core import HTTPrettyRequest
from rest_framework.test import APIClient
from rest_framework.authtoken.models import Token
from core.models import Camera, UserType, Flight, User, FlightState
pytestmark = pytest.mark.django_db
@pytest.fixture
def c():
return APIClient()
@pytest.fixture
def users():
admin = User.objects.create_user(username="admin", email="admin@example.com", password="admin",
type=UserType.ADMIN.name)
other = User.objects.create_user(username="other", email="other@example.com", password="other",
type=UserType.ACTIVE.name)
Token.objects.create(user=admin)
Token.objects.create(user=other)
return admin, other
@pytest.fixture
def flights(users: List[User]):
httpretty.enable()
httpretty.register_uri(httpretty.POST, "http://container-nodeodm:3000/task/new/init", body="")
httpretty.register_uri(httpretty.POST, re.compile(r"http://container-webhook-adapter:8080/register/.+"),
status=200)
f1 = users[0].flight_set.create(name="flight1", date=datetime.now())
f1.camera = Camera.RGB.name
f1.save()
f2 = Flight.objects.create(name="flight2", date=datetime.now(), is_demo=True)
f2.camera = Camera.RGB.name
f2.save()
return f1, f2
# https://docs.pytest.org/en/latest/yieldfixture.html
@pytest.fixture(autouse=True)
def clear_httpretty():
yield # this runs each test
httpretty.reset()
def _auth(c, user: User):
"""
A helper function that configures an APIClient with the appropriate auth token for a User
Args:
c: An APIClient that will now send the user's token with all requests
user: The User whose token will be used to authenticate all requests
Returns: Nothing, but the passed APIClient will have its configuration changed
"""
token = Token.objects.get(user=user)
c.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
def test_info_working_flight(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/info for an in-progress Flight works
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
mock_data = {"fake": "exists", "anotherFake": "alsoExists", "dummyCount": 100}
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/info",
body=json.dumps(mock_data))
_auth(c, users[0])
requests_before = len(httpretty.latest_requests)
resp = c.get(reverse('nodeodm_proxy_task_info', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 200
assert "anotherFake" in json.loads(resp.content)
# one additional request to container-nodeodm/task/info
assert len(httpretty.latest_requests) == requests_before + 1
@pytest.mark.xfail(reason="Request fires from localhost and httpretty patches gethostbyname to always return 127.0.0.1")
def test_info_working_flight_other_user(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/info for an in-progress Flight rejects the request if the user is not the owner
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
mock_data = {"fake": "exists", "anotherFake": "alsoExists", "dummyCount": 100}
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/info",
body=json.dumps(mock_data))
_auth(c, users[1])
resp = c.get(reverse('nodeodm_proxy_task_info', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 403
def test_info_demo_flight(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/info for a demo Flight succeds even if the user is not the Flight owner
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[1].uuid}/info",
body=json.dumps({}))
_auth(c, users[1])
resp = c.get(reverse('nodeodm_proxy_task_info', kwargs={"uuid": flights[1].uuid}))
assert resp.status_code == 200
def test_info_complete_flight(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/info for a complete Flight works
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
# this mock_data should NOT be returned
mock_data = {"fake": "exists", "anotherFake": "alsoExists", "dummyCount": 100}
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/info",
body=json.dumps(mock_data))
# manually mark the Flight as complete on DB
flights[0].state = FlightState.COMPLETE.name
flights[0].processing_time = 12345
flights[0].save()
_auth(c, users[0])
resp = c.get(reverse('nodeodm_proxy_task_info', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 200
data = json.loads(resp.content)
assert "anotherFake" not in data
assert data["processingTime"] == 12345
assert data["status"]["code"] == 40
def test_info_forwards_404(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/info sends a 404 error if the backend answered with a 404
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/info",
status=404)
# try to get info on working flight
_auth(c, users[0])
resp = c.get(reverse('nodeodm_proxy_task_info', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 404
def test_console_working_flight(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/output for an in-progress Flight works
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
mock_data = ["line1", "line2", "...", "line1000"]
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/output",
body=json.dumps(mock_data))
_auth(c, users[0])
resp = c.get(reverse('nodeodm_proxy_task_output', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 200
assert json.loads(resp.content)[3] == "line1000"
def test_console_other_user(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/output fails when the user is not the Flight owner
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
mock_data = ["line1", "line2", "...", "line1000"]
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/output",
body=json.dumps(mock_data))
_auth(c, users[1])
resp = c.get(reverse('nodeodm_proxy_task_output', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 403
def test_console_complete_flight(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/output for a complete Flight works
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
# this mock_data should NOT be returned
mock_data = ["line1", "line2", "...", "line1000"]
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/output",
body=json.dumps(mock_data))
# manually mark the Flight as complete on DB
flights[0].state = FlightState.COMPLETE.name
flights[0].save()
_auth(c, users[0])
resp = c.get(reverse('nodeodm_proxy_task_output', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 200
assert resp.content.decode("utf-8") == "Vuelo completo"
def test_console_forwards_404(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/???/output sends a 404 error if the backend answered with a 404
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
httpretty.register_uri(httpretty.GET, f"http://container-nodeodm:3000/task/{flights[0].uuid}/output",
status=404)
# try to get info on working flight
_auth(c, users[0])
resp = c.get(reverse('nodeodm_proxy_task_output', kwargs={"uuid": flights[0].uuid}))
assert resp.status_code == 404
def test_cancel_task(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/task/cancel sends the cancellation request to the NodeODM backend
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
def callback(request: HTTPrettyRequest, uri, response_headers):
body = request.parsed_body
assert "uuid" in body
# body[uuid] is a list, probably to support repeated keys
assert body["uuid"][0] == str(flights[0].uuid)
return [204, response_headers, ""]
httpretty.register_uri(httpretty.POST, f"http://container-nodeodm:3000/task/cancel",
body=callback)
_auth(c, users[0])
resp = c.post(reverse('nodeodm_proxy_task_cancel'), {"uuid": str(flights[0].uuid)}, format="json")
assert resp.status_code == 204
def test_cancel_task_fails(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/task/cancel sends a 404 error if the backend answered with a 404
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
def callback(request: HTTPrettyRequest, uri, response_headers):
return [404, response_headers, ""]
httpretty.register_uri(httpretty.POST, f"http://container-nodeodm:3000/task/cancel",
body=callback)
_auth(c, users[0])
resp = c.post(reverse('nodeodm_proxy_task_cancel'), {"uuid": str(flights[0].uuid)}, format="json")
assert resp.status_code == 404
def test_cancel_task_other_user(c, users: List[User], flights: List[Flight]):
"""
Tests that calling /nodeodm/task/cancel fails when the user is not the Flight owner
Args:
c: The APIClient fixture that will send the request
users: A fixture containing Users
flights: A fixture containing Flights
"""
def callback(request: HTTPrettyRequest, uri, response_headers):
body = request.parsed_body
assert "uuid" in body
# body[uuid] is a list, probably to support repeated keys
assert body["uuid"][0] == str(flights[0].uuid)
return [204, response_headers, ""]
httpretty.register_uri(httpretty.POST, f"http://container-nodeodm:3000/task/cancel",
body=callback)
_auth(c, users[1])
requests_before = len(httpretty.latest_requests)
resp = c.post(reverse('nodeodm_proxy_task_cancel'), {"uuid": str(flights[0].uuid)}, format="json")
assert resp.status_code == 403
assert len(httpretty.latest_requests) == requests_before # no additional requests must have been called
| 39.548701 | 120 | 0.670717 | 1,619 | 12,181 | 4.951822 | 0.138357 | 0.025945 | 0.053885 | 0.050642 | 0.760384 | 0.734065 | 0.728327 | 0.716852 | 0.706873 | 0.703006 | 0 | 0.02486 | 0.210738 | 12,181 | 307 | 121 | 39.677524 | 0.809029 | 0.292587 | 0 | 0.543046 | 0 | 0 | 0.186052 | 0.035357 | 0 | 0 | 0 | 0 | 0.15894 | 1 | 0.13245 | false | 0.013245 | 0.072848 | 0.013245 | 0.245033 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c088cf8ae1a160035bb145c6d3e12422af5311b6 | 34 | py | Python | Error/Error11.py | EzioFenix/Compilador-M68HC11 | 6f0688bfe72b13f28412cb3f424b459e39ba51b6 | [
"MIT"
] | null | null | null | Error/Error11.py | EzioFenix/Compilador-M68HC11 | 6f0688bfe72b13f28412cb3f424b459e39ba51b6 | [
"MIT"
] | null | null | null | Error/Error11.py | EzioFenix/Compilador-M68HC11 | 6f0688bfe72b13f28412cb3f424b459e39ba51b6 | [
"MIT"
] | null | null | null | class Error11(Exception):
pass | 17 | 25 | 0.735294 | 4 | 34 | 6.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.071429 | 0.176471 | 34 | 2 | 26 | 17 | 0.821429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
c09468cce261d7d0f197be42cf2f3d2574390634 | 1,656 | py | Python | src/helow/reporter/migrations/0015_auto_20200520_0035.py | BuildForSDG/team-079 | 817fd17f566be07c4b225c769ba6576462f080b8 | [
"MIT"
] | null | null | null | src/helow/reporter/migrations/0015_auto_20200520_0035.py | BuildForSDG/team-079 | 817fd17f566be07c4b225c769ba6576462f080b8 | [
"MIT"
] | null | null | null | src/helow/reporter/migrations/0015_auto_20200520_0035.py | BuildForSDG/team-079 | 817fd17f566be07c4b225c769ba6576462f080b8 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-05-20 00:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('reporter', '0014_delete_photo'),
]
operations = [
migrations.AddField(
model_name='incidentlocation',
name='formatted_address',
field=models.CharField(max_length=200, null=True),
),
migrations.AddField(
model_name='incidentlocation',
name='formatted_phone_number',
field=models.CharField(max_length=20, null=True),
),
migrations.AddField(
model_name='incidentlocation',
name='international_phone_number',
field=models.CharField(max_length=20, null=True),
),
migrations.AddField(
model_name='incidentlocation',
name='place_id',
field=models.CharField(max_length=200, null=True),
),
migrations.AddField(
model_name='incidentlocation',
name='url',
field=models.CharField(max_length=200, null=True),
),
migrations.AddField(
model_name='incidentlocation',
name='website',
field=models.CharField(max_length=100, null=True),
),
migrations.AlterField(
model_name='incidentlocation',
name='known_name',
field=models.CharField(max_length=200, null=True),
),
migrations.AlterField(
model_name='incidentlocation',
name='map_name',
field=models.CharField(max_length=200),
),
]
| 30.666667 | 62 | 0.576691 | 154 | 1,656 | 6.032468 | 0.318182 | 0.077503 | 0.215285 | 0.249731 | 0.791173 | 0.759957 | 0.759957 | 0.646932 | 0.543595 | 0.489774 | 0 | 0.035996 | 0.312198 | 1,656 | 53 | 63 | 31.245283 | 0.779631 | 0.027174 | 0 | 0.638298 | 1 | 0 | 0.157862 | 0.029832 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.021277 | 0 | 0.085106 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c09f816bd82271c553550708beafaf98fff9806d | 78 | py | Python | models/voice/__init__.py | Aitical/ADspeech2face | 2e811ff8cc7333729f4b77d1b1067296253e8e38 | [
"MIT"
] | 1 | 2022-01-27T14:19:04.000Z | 2022-01-27T14:19:04.000Z | models/voice/__init__.py | Aitical/ADspeech2face | 2e811ff8cc7333729f4b77d1b1067296253e8e38 | [
"MIT"
] | null | null | null | models/voice/__init__.py | Aitical/ADspeech2face | 2e811ff8cc7333729f4b77d1b1067296253e8e38 | [
"MIT"
] | null | null | null | from .resent import ResNetSE34
from .model import StyleMapping, VoiceStyleNet
| 26 | 46 | 0.846154 | 9 | 78 | 7.333333 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028986 | 0.115385 | 78 | 2 | 47 | 39 | 0.927536 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c0abc68dba69fed63d81fbbd1e33546735152ec2 | 75 | py | Python | PyCpp/streams/__init__.py | omarboukhris/parselibcpp | 2e68185392079634e62ff31a7bb902a833938a95 | [
"MIT"
] | null | null | null | PyCpp/streams/__init__.py | omarboukhris/parselibcpp | 2e68185392079634e62ff31a7bb902a833938a95 | [
"MIT"
] | null | null | null | PyCpp/streams/__init__.py | omarboukhris/parselibcpp | 2e68185392079634e62ff31a7bb902a833938a95 | [
"MIT"
] | null | null | null |
from .StringStream import StringStream
from .FileStream import FileStream
| 18.75 | 38 | 0.853333 | 8 | 75 | 8 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12 | 75 | 3 | 39 | 25 | 0.969697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c0b86a651fbf66420c7ae4e2cee7f2f2896ac02a | 435 | py | Python | cloud_functions/src/supported_coins.py | nlins8224/CryptoWatchBackend | 6706db9bd044a940fdafaf6a25737cbf96d91043 | [
"MIT"
] | null | null | null | cloud_functions/src/supported_coins.py | nlins8224/CryptoWatchBackend | 6706db9bd044a940fdafaf6a25737cbf96d91043 | [
"MIT"
] | null | null | null | cloud_functions/src/supported_coins.py | nlins8224/CryptoWatchBackend | 6706db9bd044a940fdafaf6a25737cbf96d91043 | [
"MIT"
] | null | null | null | from firebase_admin import db
def get_supported_coins(path):
ref = db.reference(path)
return ref.get()
def get_supported_coins_ids(path):
ref = db.reference(path)
return list(ref.get().values())
def get_supported_coins_sym(path):
ref = db.reference(path)
return list(ref.get().keys())
def save_supported_coins(supported_coins):
ref = db.reference('supported-coingecko')
ref.set(supported_coins)
| 19.772727 | 45 | 0.714943 | 62 | 435 | 4.806452 | 0.33871 | 0.281879 | 0.187919 | 0.201342 | 0.348993 | 0.348993 | 0.255034 | 0.255034 | 0.255034 | 0 | 0 | 0 | 0.163218 | 435 | 21 | 46 | 20.714286 | 0.818681 | 0 | 0 | 0.230769 | 0 | 0 | 0.043678 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.307692 | false | 0 | 0.076923 | 0 | 0.615385 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
c0e20f76ea34727e0e43d2dae7782e4b0d3bd813 | 7,720 | py | Python | celery_app/celery_tasks.py | coinForRich/coin-for-rich | ed7d3b0101ede3340d919d0d28c52ba6e797943e | [
"MIT"
] | 55 | 2021-09-15T04:34:13.000Z | 2022-03-20T18:11:01.000Z | celery_app/celery_tasks.py | coinForRich/coin-for-rich | ed7d3b0101ede3340d919d0d28c52ba6e797943e | [
"MIT"
] | 20 | 2021-08-25T14:52:33.000Z | 2022-03-05T23:46:43.000Z | celery_app/celery_tasks.py | coinForRich/coin-for-rich | ed7d3b0101ede3340d919d0d28c52ba6e797943e | [
"MIT"
] | 26 | 2021-09-15T04:51:21.000Z | 2022-02-01T04:45:08.000Z | # This module contains Celery tasks
import json
import datetime
from celery_app.celery_main import app
from common.config.constants import DEFAULT_DATETIME_STR_QUERY
from common.helpers.datetimehelpers import str_to_datetime
from fetchers.rest.bitfinex import BitfinexOHLCVFetcher
from fetchers.rest.bittrex import BittrexOHLCVFetcher
from fetchers.rest.binance import BinanceOHLCVFetcher
# Fetch symbol data to get all symbols into
# symbol_exchange psql table
@app.task
def all_fetch_symbol_data():
bitfinex_fetcher = BitfinexOHLCVFetcher()
binance_fetcher = BinanceOHLCVFetcher()
bittrex_fetcher = BittrexOHLCVFetcher()
bitfinex_fetcher.fetch_symbol_data()
binance_fetcher.fetch_symbol_data()
bittrex_fetcher.fetch_symbol_data()
bitfinex_fetcher.close_connections()
binance_fetcher.close_connections()
bittrex_fetcher.close_connections()
# Bitfinex
@app.task
def bitfinex_fetch_ohlcvs_all_symbols(start_date, end_date):
bitfinex_fetcher = BitfinexOHLCVFetcher()
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
bitfinex_fetcher.run_fetch_ohlcvs_all(start_date, end_date)
bitfinex_fetcher.close_connections()
@app.task
def bitfinex_fetch_ohlcvs_symbols(symbols, start_date, end_date):
'''
fetches ohlcvs from Bitfinex for a list of symbols
params (all params are str because Celery serializes args):
`symbols`: list of symbols
`start_date`: string of datetime
`end_date`: string of datetime
'''
bitfinex_fetcher = BitfinexOHLCVFetcher()
# Symbols need to be de-serialized
if isinstance(symbols, str):
symbols = json.loads(symbols)
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
bitfinex_fetcher.run_fetch_ohlcvs(symbols, start_date, end_date)
bitfinex_fetcher.close_connections()
@app.task
def bitfinex_resume_fetch():
bitfinex_fetcher = BitfinexOHLCVFetcher()
bitfinex_fetcher.run_resume_fetch()
bitfinex_fetcher.close_connections()
@app.task
def bitfinex_fetch_ohlcvs_mutual_basequote(start_date, end_date):
bitfinex_fetcher = BitfinexOHLCVFetcher()
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
print(f"Celery: Fetching OHLCVs from {start_date} to {end_date}")
bitfinex_fetcher.run_fetch_ohlcvs_mutual_basequote(start_date, end_date)
bitfinex_fetcher.close_connections()
@app.task
def bitfinex_fetch_ohlcvs_mutual_basequote_1min():
'''
Periodically fetches OHLCVs on Bitfinex of mutual symbols
from 4 minutes before to 1 minute before
'''
bitfinex_fetcher = BitfinexOHLCVFetcher()
end = datetime.datetime.now() - datetime.timedelta(minutes=1)
start = end - datetime.timedelta(minutes=4)
print(f"Celery: Fetching OHLCVs from {start} to {end}")
bitfinex_fetcher.run_fetch_ohlcvs_mutual_basequote(start, end, update=True)
# Binance
@app.task
def binance_fetch_ohlcvs_all_symbols(start_date, end_date):
binance_fetcher = BinanceOHLCVFetcher()
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
binance_fetcher.run_fetch_ohlcvs_all(start_date, end_date)
binance_fetcher.close_connections()
@app.task
def binance_fetch_ohlcvs_symbols(symbols, start_date, end_date):
'''
fetches ohlcvs from Bitfinex for a list of symbols
params (all params are str because Celery serializes args):
`symbols`: list of symbols
`start_date`: datetime
`end_date`: datetime
'''
binance_fetcher = BinanceOHLCVFetcher()
# Symbols need to be de-serialized
if isinstance(symbols, str):
symbols = json.loads(symbols)
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
binance_fetcher.run_fetch_ohlcvs(symbols, start_date, end_date)
binance_fetcher.close_connections()
@app.task
def binance_resume_fetch():
binance_fetcher = BinanceOHLCVFetcher()
binance_fetcher.run_resume_fetch()
binance_fetcher.close_connections()
@app.task
def binance_fetch_ohlcvs_mutual_basequote(start_date, end_date):
binance_fetcher = BinanceOHLCVFetcher()
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
binance_fetcher.run_fetch_ohlcvs_mutual_basequote(start_date, end_date)
binance_fetcher.close_connections()
@app.task
def binance_fetch_ohlcvs_mutual_basequote_1min():
'''
Periodically fetches OHLCVs on Binance of mutual symbols
from 4 minutes before to 1 minute before
'''
binance_fetcher = BinanceOHLCVFetcher()
end = datetime.datetime.now() - datetime.timedelta(minutes=1)
start = end - datetime.timedelta(minutes=4)
print(f"Celery: Fetching OHLCVs from {start} to {end}")
binance_fetcher.run_fetch_ohlcvs_mutual_basequote(start, end, update=True)
# Bittrex
@app.task
def bittrex_fetch_ohlcvs_all_symbols(start_date, end_date):
bittrex_fetcher = BittrexOHLCVFetcher()
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
bittrex_fetcher.run_fetch_ohlcvs_all(start_date, end_date)
bittrex_fetcher.close_connections()
@app.task
def bittrex_fetch_ohlcvs_symbols(symbols, start_date, end_date):
'''
fetches ohlcvs from Bittrex for a list of symbols
params (all params are str because Celery serializes args):
`symbols`: list of symbols
`start_date`: datetime
`end_date`: datetime
'''
bittrex_fetcher = BittrexOHLCVFetcher()
# Symbols need to be de-serialized
if isinstance(symbols, str):
symbols = json.loads(symbols)
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
bittrex_fetcher.run_fetch_ohlcvs(symbols, start_date, end_date)
bittrex_fetcher.close_connections()
@app.task
def bittrex_resume_fetch():
bittrex_fetcher = BittrexOHLCVFetcher()
bittrex_fetcher.run_resume_fetch()
bittrex_fetcher.close_connections()
@app.task
def bittrex_fetch_ohlcvs_mutual_basequote(start_date, end_date):
bittrex_fetcher = BittrexOHLCVFetcher()
# The dates need to be de-serialized
start_date = str_to_datetime(start_date, f=DEFAULT_DATETIME_STR_QUERY)
end_date = str_to_datetime(end_date, f=DEFAULT_DATETIME_STR_QUERY)
bittrex_fetcher.run_fetch_ohlcvs_mutual_basequote(start_date, end_date)
bittrex_fetcher.close_connections()
@app.task
def bittrex_fetch_ohlcvs_mutual_basequote_1min():
'''
Periodically fetches OHLCVs on Bittrex of mutual symbols
from 4 minutes before to 1 minute before
'''
bittrex_fetcher = BittrexOHLCVFetcher()
end = datetime.datetime.now() - datetime.timedelta(minutes=1)
start = end - datetime.timedelta(minutes=4)
print(f"Celery: Fetching OHLCVs from {start} to {end}")
bittrex_fetcher.run_fetch_ohlcvs_mutual_basequote(start, end, update=True)
| 38.40796 | 79 | 0.770466 | 1,033 | 7,720 | 5.417231 | 0.083253 | 0.064332 | 0.061115 | 0.078091 | 0.791816 | 0.781094 | 0.771801 | 0.765547 | 0.748928 | 0.726948 | 0 | 0.002299 | 0.154793 | 7,720 | 200 | 80 | 38.6 | 0.855326 | 0.188083 | 0 | 0.656 | 0 | 0 | 0.031148 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128 | false | 0 | 0.064 | 0 | 0.192 | 0.032 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c0ee04f77158fb7935aa848ed29e6d6782e51084 | 1,401 | py | Python | cloudmersive_convert_api_client/api/__init__.py | Cloudmersive/Cloudmersive.APIClient.Python.Convert | dba2fe7257229ebdacd266531b3724552c651009 | [
"Apache-2.0"
] | 3 | 2018-07-25T23:04:34.000Z | 2021-08-10T16:43:10.000Z | cloudmersive_convert_api_client/api/__init__.py | Cloudmersive/Cloudmersive.APIClient.Python.Convert | dba2fe7257229ebdacd266531b3724552c651009 | [
"Apache-2.0"
] | 3 | 2020-11-23T10:46:48.000Z | 2021-12-30T14:09:34.000Z | cloudmersive_convert_api_client/api/__init__.py | Cloudmersive/Cloudmersive.APIClient.Python.Convert | dba2fe7257229ebdacd266531b3724552c651009 | [
"Apache-2.0"
] | 2 | 2020-01-07T09:48:01.000Z | 2020-11-23T10:47:00.000Z | from __future__ import absolute_import
# flake8: noqa
# import apis into api package
from cloudmersive_convert_api_client.api.compare_document_api import CompareDocumentApi
from cloudmersive_convert_api_client.api.convert_data_api import ConvertDataApi
from cloudmersive_convert_api_client.api.convert_document_api import ConvertDocumentApi
from cloudmersive_convert_api_client.api.convert_image_api import ConvertImageApi
from cloudmersive_convert_api_client.api.convert_template_api import ConvertTemplateApi
from cloudmersive_convert_api_client.api.convert_web_api import ConvertWebApi
from cloudmersive_convert_api_client.api.edit_document_api import EditDocumentApi
from cloudmersive_convert_api_client.api.edit_html_api import EditHtmlApi
from cloudmersive_convert_api_client.api.edit_pdf_api import EditPdfApi
from cloudmersive_convert_api_client.api.edit_text_api import EditTextApi
from cloudmersive_convert_api_client.api.merge_document_api import MergeDocumentApi
from cloudmersive_convert_api_client.api.split_document_api import SplitDocumentApi
from cloudmersive_convert_api_client.api.transform_document_api import TransformDocumentApi
from cloudmersive_convert_api_client.api.validate_document_api import ValidateDocumentApi
from cloudmersive_convert_api_client.api.viewer_tools_api import ViewerToolsApi
from cloudmersive_convert_api_client.api.zip_archive_api import ZipArchiveApi
| 63.681818 | 91 | 0.91863 | 188 | 1,401 | 6.393617 | 0.25 | 0.212978 | 0.306156 | 0.34609 | 0.508319 | 0.508319 | 0.304493 | 0 | 0 | 0 | 0 | 0.000756 | 0.056388 | 1,401 | 21 | 92 | 66.714286 | 0.908472 | 0.029265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
23dd91967ca4af9395c73ec474968dac8ae7ee69 | 4,378 | py | Python | tests/request/test_base_path_ending_with_slash.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | 7 | 2018-12-07T10:08:53.000Z | 2021-03-24T07:52:36.000Z | tests/request/test_base_path_ending_with_slash.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | 76 | 2018-12-07T10:29:48.000Z | 2021-11-17T00:54:24.000Z | tests/request/test_base_path_ending_with_slash.py | Colin-b/pyxelrest | 5c8db40d1537d0f9c29acd928ec9519b6bb557ec | [
"MIT"
] | null | null | null | from responses import RequestsMock
from tests import loader
def test_get_base_path_ending_with_slash(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"basePath": "//",
"paths": {
"/test": {
"get": {
"operationId": "get_method",
"responses": {
"200": {
"description": "return value",
"schema": {"type": "string"},
}
},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"base_path_ending_with_slash": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.GET, url="http://test/test", json={}, match_querystring=True
)
assert generated_functions.base_path_ending_with_slash_get_method() == [[""]]
def test_post_base_path_ending_with_slash(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"basePath": "//",
"paths": {
"/test": {
"post": {
"operationId": "post_method",
"responses": {
"200": {"description": "POST performed properly"}
},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"base_path_ending_with_slash": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.POST, url="http://test/test", json={}, match_querystring=True
)
assert generated_functions.base_path_ending_with_slash_post_method() == [[""]]
def test_put_base_path_ending_with_slash(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"basePath": "//",
"paths": {
"/test": {
"put": {
"operationId": "put_method",
"responses": {"200": {"description": "PUT performed properly"}},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"base_path_ending_with_slash": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.PUT, url="http://test/test", json={}, match_querystring=True
)
assert generated_functions.base_path_ending_with_slash_put_method() == [[""]]
def test_delete_base_path_ending_with_slash(responses: RequestsMock, tmpdir):
responses.add(
responses.GET,
url="http://test/",
json={
"swagger": "2.0",
"basePath": "//",
"paths": {
"/test": {
"delete": {
"operationId": "delete_method",
"responses": {
"200": {"description": "DELETE performed properly"}
},
}
}
},
},
match_querystring=True,
)
generated_functions = loader.load(
tmpdir,
{
"base_path_ending_with_slash": {
"open_api": {"definition": "http://test/"},
"formulas": {"dynamic_array": {"lock_excel": True}},
}
},
)
responses.add(
responses.DELETE, url="http://test/test", json={}, match_querystring=True
)
assert generated_functions.base_path_ending_with_slash_delete_method() == [[""]]
| 29.38255 | 88 | 0.447465 | 334 | 4,378 | 5.577844 | 0.158683 | 0.05153 | 0.090177 | 0.115942 | 0.795491 | 0.795491 | 0.795491 | 0.793881 | 0.793881 | 0.793881 | 0 | 0.007791 | 0.413659 | 4,378 | 148 | 89 | 29.581081 | 0.717959 | 0 | 0 | 0.466667 | 0 | 0 | 0.200548 | 0.024669 | 0 | 0 | 0 | 0 | 0.02963 | 1 | 0.02963 | false | 0 | 0.014815 | 0 | 0.044444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
f1ab04146b5df4f369695cd17597c9b0c02556ff | 595 | py | Python | tps/problems/models/__init__.py | akmohtashami/tps-web | 9dab3ffe97c21f658be30ce2f2711dd93e4ba60f | [
"MIT"
] | 5 | 2019-02-26T06:10:43.000Z | 2021-07-24T17:11:45.000Z | tps/problems/models/__init__.py | akmohtashami/tps-web | 9dab3ffe97c21f658be30ce2f2711dd93e4ba60f | [
"MIT"
] | 3 | 2019-08-15T13:56:03.000Z | 2021-06-10T18:43:16.000Z | tps/problems/models/__init__.py | jonathanirvings/tps-web | 46519347d4fc8bdced9b5bceb6cdee5ea4e508f2 | [
"MIT"
] | 2 | 2018-12-28T13:12:59.000Z | 2020-12-25T18:42:13.000Z | from problems.models.problem import *
from problems.models.version_control import *
from problems.models.discussion import *
from problems.models.file import *
from problems.models.solution import *
from problems.models.solution_run import *
from problems.models.testdata import *
from problems.models.validator import *
from problems.models.checker import *
from problems.models.export import *
from problems.models.grader import *
from problems.models.roles import *
from problems.models.merge_request import *
from problems.models.problem_data import *
from problems.models.statement import * | 39.666667 | 45 | 0.82521 | 79 | 595 | 6.164557 | 0.265823 | 0.36961 | 0.554415 | 0.689938 | 0.131417 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09916 | 595 | 15 | 46 | 39.666667 | 0.908582 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
f1ca0a180ffcd3a693c4e82d01c94639e676cfdb | 179 | py | Python | core/commands/exit.py | cclauss/koadic | 46e4b908519c23d21c44f5d615e661bcbe74642a | [
"Apache-2.0"
] | 14 | 2017-11-27T15:17:20.000Z | 2019-07-30T11:16:32.000Z | core/commands/exit.py | cclauss/koadic | 46e4b908519c23d21c44f5d615e661bcbe74642a | [
"Apache-2.0"
] | null | null | null | core/commands/exit.py | cclauss/koadic | 46e4b908519c23d21c44f5d615e661bcbe74642a | [
"Apache-2.0"
] | 12 | 2017-11-27T09:04:58.000Z | 2019-12-21T02:51:05.000Z | DESCRIPTION = "exits the program"
def autocomplete(shell, line, text, state):
return None
def help(shell):
pass
def execute(shell, cmd):
import sys
sys.exit(0)
| 14.916667 | 43 | 0.670391 | 25 | 179 | 4.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007194 | 0.223464 | 179 | 11 | 44 | 16.272727 | 0.856115 | 0 | 0 | 0 | 0 | 0 | 0.094972 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0.125 | 0.125 | 0.125 | 0.625 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 |
f1e7410c7e957930583e9407a36718be69f48f8b | 59 | py | Python | vnpy/api/rest/__init__.py | SonHOuse1993/vnpy | afd63cc7ea2217634613a07864db3f48e13e6e33 | [
"MIT"
] | 11 | 2019-10-28T13:01:48.000Z | 2021-06-20T03:38:09.000Z | vnpy/api/rest/__init__.py | SonHOuse1993/vnpy | afd63cc7ea2217634613a07864db3f48e13e6e33 | [
"MIT"
] | null | null | null | vnpy/api/rest/__init__.py | SonHOuse1993/vnpy | afd63cc7ea2217634613a07864db3f48e13e6e33 | [
"MIT"
] | 6 | 2019-10-28T13:16:13.000Z | 2020-09-08T08:03:41.000Z | from .RestClient import Request, RequestStatus, RestClient
| 29.5 | 58 | 0.847458 | 6 | 59 | 8.333333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101695 | 59 | 1 | 59 | 59 | 0.943396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
9e5a6439a0b2b23ddee2e5729acae9cac347036c | 81,094 | py | Python | lib/googlecloudsdk/third_party/apis/datacatalog/v1beta1/datacatalog_v1beta1_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | lib/googlecloudsdk/third_party/apis/datacatalog/v1beta1/datacatalog_v1beta1_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/third_party/apis/datacatalog/v1beta1/datacatalog_v1beta1_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | """Generated client library for datacatalog version v1beta1."""
# NOTE: This file is autogenerated and should not be edited by hand.
from __future__ import absolute_import
from apitools.base.py import base_api
from googlecloudsdk.third_party.apis.datacatalog.v1beta1 import datacatalog_v1beta1_messages as messages
class DatacatalogV1beta1(base_api.BaseApiClient):
"""Generated client library for service datacatalog version v1beta1."""
MESSAGES_MODULE = messages
BASE_URL = 'https://datacatalog.googleapis.com/'
MTLS_BASE_URL = 'https://datacatalog.mtls.googleapis.com/'
_PACKAGE = 'datacatalog'
_SCOPES = ['https://www.googleapis.com/auth/cloud-platform']
_VERSION = 'v1beta1'
_CLIENT_ID = '1042881264118.apps.googleusercontent.com'
_CLIENT_SECRET = 'x_Tw5K8nnjoRAqULM9PFAC2b'
_USER_AGENT = 'google-cloud-sdk'
_CLIENT_CLASS_NAME = 'DatacatalogV1beta1'
_URL_VERSION = 'v1beta1'
_API_KEY = None
def __init__(self, url='', credentials=None,
get_credentials=True, http=None, model=None,
log_request=False, log_response=False,
credentials_args=None, default_global_params=None,
additional_http_headers=None, response_encoding=None):
"""Create a new datacatalog handle."""
url = url or self.BASE_URL
super(DatacatalogV1beta1, self).__init__(
url, credentials=credentials,
get_credentials=get_credentials, http=http, model=model,
log_request=log_request, log_response=log_response,
credentials_args=credentials_args,
default_global_params=default_global_params,
additional_http_headers=additional_http_headers,
response_encoding=response_encoding)
self.catalog = self.CatalogService(self)
self.entries = self.EntriesService(self)
self.projects_locations_entryGroups_entries_tags = self.ProjectsLocationsEntryGroupsEntriesTagsService(self)
self.projects_locations_entryGroups_entries = self.ProjectsLocationsEntryGroupsEntriesService(self)
self.projects_locations_entryGroups_tags = self.ProjectsLocationsEntryGroupsTagsService(self)
self.projects_locations_entryGroups = self.ProjectsLocationsEntryGroupsService(self)
self.projects_locations_tagTemplates_fields_enumValues = self.ProjectsLocationsTagTemplatesFieldsEnumValuesService(self)
self.projects_locations_tagTemplates_fields = self.ProjectsLocationsTagTemplatesFieldsService(self)
self.projects_locations_tagTemplates = self.ProjectsLocationsTagTemplatesService(self)
self.projects_locations_taxonomies_policyTags = self.ProjectsLocationsTaxonomiesPolicyTagsService(self)
self.projects_locations_taxonomies = self.ProjectsLocationsTaxonomiesService(self)
self.projects_locations = self.ProjectsLocationsService(self)
self.projects = self.ProjectsService(self)
class CatalogService(base_api.BaseApiService):
"""Service class for the catalog resource."""
_NAME = 'catalog'
def __init__(self, client):
super(DatacatalogV1beta1.CatalogService, self).__init__(client)
self._upload_configs = {
}
def Search(self, request, global_params=None):
r"""Searches Data Catalog for multiple resources like entries, tags that match a query. This is a custom method (https://cloud.google.com/apis/design/custom_methods) and does not return the complete resource, only the resource identifier and high level fields. Clients can subsequently call `Get` methods. Note that Data Catalog search queries do not guarantee full recall. Query results that match your query may not be returned, even in subsequent result pages. Also note that results returned (and not returned) can vary across repeated search queries. See [Data Catalog Search Syntax](https://cloud.google.com/data-catalog/docs/how-to/search-reference) for more information.
Args:
request: (GoogleCloudDatacatalogV1beta1SearchCatalogRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1SearchCatalogResponse) The response message.
"""
config = self.GetMethodConfig('Search')
return self._RunMethod(
config, request, global_params=global_params)
Search.method_config = lambda: base_api.ApiMethodInfo(
http_method='POST',
method_id='datacatalog.catalog.search',
ordered_params=[],
path_params=[],
query_params=[],
relative_path='v1beta1/catalog:search',
request_field='<request>',
request_type_name='GoogleCloudDatacatalogV1beta1SearchCatalogRequest',
response_type_name='GoogleCloudDatacatalogV1beta1SearchCatalogResponse',
supports_download=False,
)
class EntriesService(base_api.BaseApiService):
"""Service class for the entries resource."""
_NAME = 'entries'
def __init__(self, client):
super(DatacatalogV1beta1.EntriesService, self).__init__(client)
self._upload_configs = {
}
def Lookup(self, request, global_params=None):
r"""Get an entry by target resource name. This method allows clients to use the resource name from the source Google Cloud Platform service to get the Data Catalog Entry.
Args:
request: (DatacatalogEntriesLookupRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Entry) The response message.
"""
config = self.GetMethodConfig('Lookup')
return self._RunMethod(
config, request, global_params=global_params)
Lookup.method_config = lambda: base_api.ApiMethodInfo(
http_method='GET',
method_id='datacatalog.entries.lookup',
ordered_params=[],
path_params=[],
query_params=['linkedResource', 'sqlResource'],
relative_path='v1beta1/entries:lookup',
request_field='',
request_type_name='DatacatalogEntriesLookupRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Entry',
supports_download=False,
)
class ProjectsLocationsEntryGroupsEntriesTagsService(base_api.BaseApiService):
"""Service class for the projects_locations_entryGroups_entries_tags resource."""
_NAME = 'projects_locations_entryGroups_entries_tags'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsEntryGroupsEntriesTagsService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a tag on an Entry. Note: The project identified by the `parent` parameter for the [tag](https://cloud.google.com/data-catalog/docs/reference/rest/v1beta1/projects.locations.entryGroups.entries.tags/create#path-parameters) and the [tag template](https://cloud.google.com/data-catalog/docs/reference/rest/v1beta1/projects.locations.tagTemplates/create#path-parameters) used to create the tag must be from the same organization.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesTagsCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Tag) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}/tags',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.entries.tags.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v1beta1/{+parent}/tags',
request_field='googleCloudDatacatalogV1beta1Tag',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesTagsCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Tag',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a tag.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesTagsDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}/tags/{tagsId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.entryGroups.entries.tags.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesTagsDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Lists the tags on an Entry.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesTagsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ListTagsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}/tags',
http_method='GET',
method_id='datacatalog.projects.locations.entryGroups.entries.tags.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v1beta1/{+parent}/tags',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesTagsListRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ListTagsResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates an existing tag.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesTagsPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Tag) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}/tags/{tagsId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.entryGroups.entries.tags.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1Tag',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesTagsPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Tag',
supports_download=False,
)
class ProjectsLocationsEntryGroupsEntriesService(base_api.BaseApiService):
"""Service class for the projects_locations_entryGroups_entries resource."""
_NAME = 'projects_locations_entryGroups_entries'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsEntryGroupsEntriesService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates an entry. Only entries of 'FILESET' type or user-specified type can be created. Users should enable the Data Catalog API in the project identified by the `parent` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information). A maximum of 100,000 entries may be created per entry group.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Entry) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.entries.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=['entryId'],
relative_path='v1beta1/{+parent}/entries',
request_field='googleCloudDatacatalogV1beta1Entry',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Entry',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes an existing entry. Only entries created through CreateEntry method can be deleted. Users should enable the Data Catalog API in the project identified by the `name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.entryGroups.entries.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets an entry.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Entry) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}',
http_method='GET',
method_id='datacatalog.projects.locations.entryGroups.entries.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesGetRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Entry',
supports_download=False,
)
def GetIamPolicy(self, request, global_params=None):
r"""Gets the access control policy for a resource. A `NOT_FOUND` error is returned if the resource does not exist. An empty policy is returned if the resource exists but does not have a policy set on it. Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. Callers must have following Google IAM permission - `datacatalog.tagTemplates.getIamPolicy` to get policies on tag templates. - `datacatalog.entries.getIamPolicy` to get policies on entries. - `datacatalog.entryGroups.getIamPolicy` to get policies on entry groups.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesGetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('GetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}:getIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.entries.getIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:getIamPolicy',
request_field='getIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesGetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Lists entries.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ListEntriesResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries',
http_method='GET',
method_id='datacatalog.projects.locations.entryGroups.entries.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken', 'readMask'],
relative_path='v1beta1/{+parent}/entries',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesListRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ListEntriesResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates an existing entry. Users should enable the Data Catalog API in the project identified by the `entry.name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Entry) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.entryGroups.entries.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1Entry',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Entry',
supports_download=False,
)
def TestIamPermissions(self, request, global_params=None):
r"""Returns the caller's permissions on a resource. If the resource does not exist, an empty set of permissions is returned (We don't return a `NOT_FOUND` error). Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. A caller is not required to have Google IAM permission to make this request.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsEntriesTestIamPermissionsRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(TestIamPermissionsResponse) The response message.
"""
config = self.GetMethodConfig('TestIamPermissions')
return self._RunMethod(
config, request, global_params=global_params)
TestIamPermissions.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/entries/{entriesId}:testIamPermissions',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.entries.testIamPermissions',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:testIamPermissions',
request_field='testIamPermissionsRequest',
request_type_name='DatacatalogProjectsLocationsEntryGroupsEntriesTestIamPermissionsRequest',
response_type_name='TestIamPermissionsResponse',
supports_download=False,
)
class ProjectsLocationsEntryGroupsTagsService(base_api.BaseApiService):
"""Service class for the projects_locations_entryGroups_tags resource."""
_NAME = 'projects_locations_entryGroups_tags'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsEntryGroupsTagsService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a tag on an Entry. Note: The project identified by the `parent` parameter for the [tag](https://cloud.google.com/data-catalog/docs/reference/rest/v1beta1/projects.locations.entryGroups.entries.tags/create#path-parameters) and the [tag template](https://cloud.google.com/data-catalog/docs/reference/rest/v1beta1/projects.locations.tagTemplates/create#path-parameters) used to create the tag must be from the same organization.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsTagsCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Tag) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/tags',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.tags.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v1beta1/{+parent}/tags',
request_field='googleCloudDatacatalogV1beta1Tag',
request_type_name='DatacatalogProjectsLocationsEntryGroupsTagsCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Tag',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a tag.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsTagsDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/tags/{tagsId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.entryGroups.tags.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsTagsDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Lists the tags on an Entry.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsTagsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ListTagsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/tags',
http_method='GET',
method_id='datacatalog.projects.locations.entryGroups.tags.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v1beta1/{+parent}/tags',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsTagsListRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ListTagsResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates an existing tag.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsTagsPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Tag) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}/tags/{tagsId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.entryGroups.tags.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1Tag',
request_type_name='DatacatalogProjectsLocationsEntryGroupsTagsPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Tag',
supports_download=False,
)
class ProjectsLocationsEntryGroupsService(base_api.BaseApiService):
"""Service class for the projects_locations_entryGroups resource."""
_NAME = 'projects_locations_entryGroups'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsEntryGroupsService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""A maximum of 10,000 entry groups may be created per organization across all locations. Users should enable the Data Catalog API in the project identified by the `parent` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsEntryGroupsCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1EntryGroup) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=['entryGroupId'],
relative_path='v1beta1/{+parent}/entryGroups',
request_field='googleCloudDatacatalogV1beta1EntryGroup',
request_type_name='DatacatalogProjectsLocationsEntryGroupsCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1EntryGroup',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes an EntryGroup. Only entry groups that do not contain entries can be deleted. Users should enable the Data Catalog API in the project identified by the `name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsEntryGroupsDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.entryGroups.delete',
ordered_params=['name'],
path_params=['name'],
query_params=['force'],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets an EntryGroup.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1EntryGroup) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}',
http_method='GET',
method_id='datacatalog.projects.locations.entryGroups.get',
ordered_params=['name'],
path_params=['name'],
query_params=['readMask'],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsGetRequest',
response_type_name='GoogleCloudDatacatalogV1beta1EntryGroup',
supports_download=False,
)
def GetIamPolicy(self, request, global_params=None):
r"""Gets the access control policy for a resource. A `NOT_FOUND` error is returned if the resource does not exist. An empty policy is returned if the resource exists but does not have a policy set on it. Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. Callers must have following Google IAM permission - `datacatalog.tagTemplates.getIamPolicy` to get policies on tag templates. - `datacatalog.entries.getIamPolicy` to get policies on entries. - `datacatalog.entryGroups.getIamPolicy` to get policies on entry groups.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsGetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('GetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}:getIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.getIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:getIamPolicy',
request_field='getIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsEntryGroupsGetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Lists entry groups.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ListEntryGroupsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups',
http_method='GET',
method_id='datacatalog.projects.locations.entryGroups.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v1beta1/{+parent}/entryGroups',
request_field='',
request_type_name='DatacatalogProjectsLocationsEntryGroupsListRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ListEntryGroupsResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates an EntryGroup. The user should enable the Data Catalog API in the project identified by the `entry_group.name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsEntryGroupsPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1EntryGroup) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.entryGroups.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1EntryGroup',
request_type_name='DatacatalogProjectsLocationsEntryGroupsPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1EntryGroup',
supports_download=False,
)
def SetIamPolicy(self, request, global_params=None):
r"""Sets the access control policy for a resource. Replaces any existing policy. Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. Callers must have following Google IAM permission - `datacatalog.tagTemplates.setIamPolicy` to set policies on tag templates. - `datacatalog.entries.setIamPolicy` to set policies on entries. - `datacatalog.entryGroups.setIamPolicy` to set policies on entry groups.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsSetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('SetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
SetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}:setIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.setIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:setIamPolicy',
request_field='setIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsEntryGroupsSetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def TestIamPermissions(self, request, global_params=None):
r"""Returns the caller's permissions on a resource. If the resource does not exist, an empty set of permissions is returned (We don't return a `NOT_FOUND` error). Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. A caller is not required to have Google IAM permission to make this request.
Args:
request: (DatacatalogProjectsLocationsEntryGroupsTestIamPermissionsRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(TestIamPermissionsResponse) The response message.
"""
config = self.GetMethodConfig('TestIamPermissions')
return self._RunMethod(
config, request, global_params=global_params)
TestIamPermissions.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/entryGroups/{entryGroupsId}:testIamPermissions',
http_method='POST',
method_id='datacatalog.projects.locations.entryGroups.testIamPermissions',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:testIamPermissions',
request_field='testIamPermissionsRequest',
request_type_name='DatacatalogProjectsLocationsEntryGroupsTestIamPermissionsRequest',
response_type_name='TestIamPermissionsResponse',
supports_download=False,
)
class ProjectsLocationsTagTemplatesFieldsEnumValuesService(base_api.BaseApiService):
"""Service class for the projects_locations_tagTemplates_fields_enumValues resource."""
_NAME = 'projects_locations_tagTemplates_fields_enumValues'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsTagTemplatesFieldsEnumValuesService, self).__init__(client)
self._upload_configs = {
}
def Rename(self, request, global_params=None):
r"""Renames an enum value in a tag template. The enum values have to be unique within one enum field. Thus, an enum value cannot be renamed with a name used in any other enum value within the same enum field.
Args:
request: (DatacatalogProjectsLocationsTagTemplatesFieldsEnumValuesRenameRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1TagTemplateField) The response message.
"""
config = self.GetMethodConfig('Rename')
return self._RunMethod(
config, request, global_params=global_params)
Rename.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}/fields/{fieldsId}/enumValues/{enumValuesId}:rename',
http_method='POST',
method_id='datacatalog.projects.locations.tagTemplates.fields.enumValues.rename',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}:rename',
request_field='googleCloudDatacatalogV1beta1RenameTagTemplateFieldEnumValueRequest',
request_type_name='DatacatalogProjectsLocationsTagTemplatesFieldsEnumValuesRenameRequest',
response_type_name='GoogleCloudDatacatalogV1beta1TagTemplateField',
supports_download=False,
)
class ProjectsLocationsTagTemplatesFieldsService(base_api.BaseApiService):
"""Service class for the projects_locations_tagTemplates_fields resource."""
_NAME = 'projects_locations_tagTemplates_fields'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsTagTemplatesFieldsService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a field in a tag template. The user should enable the Data Catalog API in the project identified by the `parent` parameter (see [Data Catalog Resource Project](https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsTagTemplatesFieldsCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1TagTemplateField) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}/fields',
http_method='POST',
method_id='datacatalog.projects.locations.tagTemplates.fields.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=['tagTemplateFieldId'],
relative_path='v1beta1/{+parent}/fields',
request_field='googleCloudDatacatalogV1beta1TagTemplateField',
request_type_name='DatacatalogProjectsLocationsTagTemplatesFieldsCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1TagTemplateField',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a field in a tag template and all uses of that field. Users should enable the Data Catalog API in the project identified by the `name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsTagTemplatesFieldsDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}/fields/{fieldsId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.tagTemplates.fields.delete',
ordered_params=['name'],
path_params=['name'],
query_params=['force'],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsTagTemplatesFieldsDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a field in a tag template. This method cannot be used to update the field type. Users should enable the Data Catalog API in the project identified by the `name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsTagTemplatesFieldsPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1TagTemplateField) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}/fields/{fieldsId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.tagTemplates.fields.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1TagTemplateField',
request_type_name='DatacatalogProjectsLocationsTagTemplatesFieldsPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1TagTemplateField',
supports_download=False,
)
def Rename(self, request, global_params=None):
r"""Renames a field in a tag template. The user should enable the Data Catalog API in the project identified by the `name` parameter (see [Data Catalog Resource Project](https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsTagTemplatesFieldsRenameRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1TagTemplateField) The response message.
"""
config = self.GetMethodConfig('Rename')
return self._RunMethod(
config, request, global_params=global_params)
Rename.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}/fields/{fieldsId}:rename',
http_method='POST',
method_id='datacatalog.projects.locations.tagTemplates.fields.rename',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}:rename',
request_field='googleCloudDatacatalogV1beta1RenameTagTemplateFieldRequest',
request_type_name='DatacatalogProjectsLocationsTagTemplatesFieldsRenameRequest',
response_type_name='GoogleCloudDatacatalogV1beta1TagTemplateField',
supports_download=False,
)
class ProjectsLocationsTagTemplatesService(base_api.BaseApiService):
"""Service class for the projects_locations_tagTemplates resource."""
_NAME = 'projects_locations_tagTemplates'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsTagTemplatesService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a tag template. The user should enable the Data Catalog API in the project identified by the `parent` parameter (see [Data Catalog Resource Project](https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsTagTemplatesCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1TagTemplate) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates',
http_method='POST',
method_id='datacatalog.projects.locations.tagTemplates.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=['tagTemplateId'],
relative_path='v1beta1/{+parent}/tagTemplates',
request_field='googleCloudDatacatalogV1beta1TagTemplate',
request_type_name='DatacatalogProjectsLocationsTagTemplatesCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1TagTemplate',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a tag template and all tags using the template. Users should enable the Data Catalog API in the project identified by the `name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsTagTemplatesDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.tagTemplates.delete',
ordered_params=['name'],
path_params=['name'],
query_params=['force'],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsTagTemplatesDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets a tag template.
Args:
request: (DatacatalogProjectsLocationsTagTemplatesGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1TagTemplate) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}',
http_method='GET',
method_id='datacatalog.projects.locations.tagTemplates.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsTagTemplatesGetRequest',
response_type_name='GoogleCloudDatacatalogV1beta1TagTemplate',
supports_download=False,
)
def GetIamPolicy(self, request, global_params=None):
r"""Gets the access control policy for a resource. A `NOT_FOUND` error is returned if the resource does not exist. An empty policy is returned if the resource exists but does not have a policy set on it. Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. Callers must have following Google IAM permission - `datacatalog.tagTemplates.getIamPolicy` to get policies on tag templates. - `datacatalog.entries.getIamPolicy` to get policies on entries. - `datacatalog.entryGroups.getIamPolicy` to get policies on entry groups.
Args:
request: (DatacatalogProjectsLocationsTagTemplatesGetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('GetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}:getIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.tagTemplates.getIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:getIamPolicy',
request_field='getIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsTagTemplatesGetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a tag template. This method cannot be used to update the fields of a template. The tag template fields are represented as separate resources and should be updated using their own create/update/delete methods. Users should enable the Data Catalog API in the project identified by the `tag_template.name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).
Args:
request: (DatacatalogProjectsLocationsTagTemplatesPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1TagTemplate) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.tagTemplates.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1TagTemplate',
request_type_name='DatacatalogProjectsLocationsTagTemplatesPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1TagTemplate',
supports_download=False,
)
def SetIamPolicy(self, request, global_params=None):
r"""Sets the access control policy for a resource. Replaces any existing policy. Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. Callers must have following Google IAM permission - `datacatalog.tagTemplates.setIamPolicy` to set policies on tag templates. - `datacatalog.entries.setIamPolicy` to set policies on entries. - `datacatalog.entryGroups.setIamPolicy` to set policies on entry groups.
Args:
request: (DatacatalogProjectsLocationsTagTemplatesSetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('SetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
SetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}:setIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.tagTemplates.setIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:setIamPolicy',
request_field='setIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsTagTemplatesSetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def TestIamPermissions(self, request, global_params=None):
r"""Returns the caller's permissions on a resource. If the resource does not exist, an empty set of permissions is returned (We don't return a `NOT_FOUND` error). Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. A caller is not required to have Google IAM permission to make this request.
Args:
request: (DatacatalogProjectsLocationsTagTemplatesTestIamPermissionsRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(TestIamPermissionsResponse) The response message.
"""
config = self.GetMethodConfig('TestIamPermissions')
return self._RunMethod(
config, request, global_params=global_params)
TestIamPermissions.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/tagTemplates/{tagTemplatesId}:testIamPermissions',
http_method='POST',
method_id='datacatalog.projects.locations.tagTemplates.testIamPermissions',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:testIamPermissions',
request_field='testIamPermissionsRequest',
request_type_name='DatacatalogProjectsLocationsTagTemplatesTestIamPermissionsRequest',
response_type_name='TestIamPermissionsResponse',
supports_download=False,
)
class ProjectsLocationsTaxonomiesPolicyTagsService(base_api.BaseApiService):
"""Service class for the projects_locations_taxonomies_policyTags resource."""
_NAME = 'projects_locations_taxonomies_policyTags'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsTaxonomiesPolicyTagsService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a policy tag in the specified taxonomy.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1PolicyTag) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.policyTags.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v1beta1/{+parent}/policyTags',
request_field='googleCloudDatacatalogV1beta1PolicyTag',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1PolicyTag',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a policy tag. Also deletes all of its descendant policy tags.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags/{policyTagsId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.taxonomies.policyTags.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets a policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1PolicyTag) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags/{policyTagsId}',
http_method='GET',
method_id='datacatalog.projects.locations.taxonomies.policyTags.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsGetRequest',
response_type_name='GoogleCloudDatacatalogV1beta1PolicyTag',
supports_download=False,
)
def GetIamPolicy(self, request, global_params=None):
r"""Gets the IAM policy for a taxonomy or a policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsGetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('GetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags/{policyTagsId}:getIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.policyTags.getIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:getIamPolicy',
request_field='getIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsGetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Lists all policy tags in a taxonomy.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ListPolicyTagsResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags',
http_method='GET',
method_id='datacatalog.projects.locations.taxonomies.policyTags.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v1beta1/{+parent}/policyTags',
request_field='',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsListRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ListPolicyTagsResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1PolicyTag) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags/{policyTagsId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.taxonomies.policyTags.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1PolicyTag',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1PolicyTag',
supports_download=False,
)
def SetIamPolicy(self, request, global_params=None):
r"""Sets the IAM policy for a taxonomy or a policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsSetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('SetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
SetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags/{policyTagsId}:setIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.policyTags.setIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:setIamPolicy',
request_field='setIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsSetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def TestIamPermissions(self, request, global_params=None):
r"""Returns the permissions that a caller has on the specified taxonomy or policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPolicyTagsTestIamPermissionsRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(TestIamPermissionsResponse) The response message.
"""
config = self.GetMethodConfig('TestIamPermissions')
return self._RunMethod(
config, request, global_params=global_params)
TestIamPermissions.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}/policyTags/{policyTagsId}:testIamPermissions',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.policyTags.testIamPermissions',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:testIamPermissions',
request_field='testIamPermissionsRequest',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPolicyTagsTestIamPermissionsRequest',
response_type_name='TestIamPermissionsResponse',
supports_download=False,
)
class ProjectsLocationsTaxonomiesService(base_api.BaseApiService):
"""Service class for the projects_locations_taxonomies resource."""
_NAME = 'projects_locations_taxonomies'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsTaxonomiesService, self).__init__(client)
self._upload_configs = {
}
def Create(self, request, global_params=None):
r"""Creates a taxonomy in the specified project.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesCreateRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Taxonomy) The response message.
"""
config = self.GetMethodConfig('Create')
return self._RunMethod(
config, request, global_params=global_params)
Create.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.create',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v1beta1/{+parent}/taxonomies',
request_field='googleCloudDatacatalogV1beta1Taxonomy',
request_type_name='DatacatalogProjectsLocationsTaxonomiesCreateRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Taxonomy',
supports_download=False,
)
def Delete(self, request, global_params=None):
r"""Deletes a taxonomy. This operation will also delete all policy tags in this taxonomy along with their associated policies.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesDeleteRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Empty) The response message.
"""
config = self.GetMethodConfig('Delete')
return self._RunMethod(
config, request, global_params=global_params)
Delete.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}',
http_method='DELETE',
method_id='datacatalog.projects.locations.taxonomies.delete',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsTaxonomiesDeleteRequest',
response_type_name='Empty',
supports_download=False,
)
def Export(self, request, global_params=None):
r"""Exports all taxonomies and their policy tags in a project. This method generates SerializedTaxonomy protos with nested policy tags that can be used as an input for future ImportTaxonomies calls.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesExportRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ExportTaxonomiesResponse) The response message.
"""
config = self.GetMethodConfig('Export')
return self._RunMethod(
config, request, global_params=global_params)
Export.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies:export',
http_method='GET',
method_id='datacatalog.projects.locations.taxonomies.export',
ordered_params=['parent'],
path_params=['parent'],
query_params=['serializedTaxonomies', 'taxonomies'],
relative_path='v1beta1/{+parent}/taxonomies:export',
request_field='',
request_type_name='DatacatalogProjectsLocationsTaxonomiesExportRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ExportTaxonomiesResponse',
supports_download=False,
)
def Get(self, request, global_params=None):
r"""Gets a taxonomy.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesGetRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Taxonomy) The response message.
"""
config = self.GetMethodConfig('Get')
return self._RunMethod(
config, request, global_params=global_params)
Get.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}',
http_method='GET',
method_id='datacatalog.projects.locations.taxonomies.get',
ordered_params=['name'],
path_params=['name'],
query_params=[],
relative_path='v1beta1/{+name}',
request_field='',
request_type_name='DatacatalogProjectsLocationsTaxonomiesGetRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Taxonomy',
supports_download=False,
)
def GetIamPolicy(self, request, global_params=None):
r"""Gets the IAM policy for a taxonomy or a policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesGetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('GetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
GetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}:getIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.getIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:getIamPolicy',
request_field='getIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsTaxonomiesGetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def Import(self, request, global_params=None):
r"""Imports all taxonomies and their policy tags to a project as new taxonomies. This method provides a bulk taxonomy / policy tag creation using nested proto structure.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesImportRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ImportTaxonomiesResponse) The response message.
"""
config = self.GetMethodConfig('Import')
return self._RunMethod(
config, request, global_params=global_params)
Import.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies:import',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.import',
ordered_params=['parent'],
path_params=['parent'],
query_params=[],
relative_path='v1beta1/{+parent}/taxonomies:import',
request_field='googleCloudDatacatalogV1beta1ImportTaxonomiesRequest',
request_type_name='DatacatalogProjectsLocationsTaxonomiesImportRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ImportTaxonomiesResponse',
supports_download=False,
)
def List(self, request, global_params=None):
r"""Lists all taxonomies in a project in a particular location that the caller has permission to view.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesListRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1ListTaxonomiesResponse) The response message.
"""
config = self.GetMethodConfig('List')
return self._RunMethod(
config, request, global_params=global_params)
List.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies',
http_method='GET',
method_id='datacatalog.projects.locations.taxonomies.list',
ordered_params=['parent'],
path_params=['parent'],
query_params=['pageSize', 'pageToken'],
relative_path='v1beta1/{+parent}/taxonomies',
request_field='',
request_type_name='DatacatalogProjectsLocationsTaxonomiesListRequest',
response_type_name='GoogleCloudDatacatalogV1beta1ListTaxonomiesResponse',
supports_download=False,
)
def Patch(self, request, global_params=None):
r"""Updates a taxonomy.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesPatchRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(GoogleCloudDatacatalogV1beta1Taxonomy) The response message.
"""
config = self.GetMethodConfig('Patch')
return self._RunMethod(
config, request, global_params=global_params)
Patch.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}',
http_method='PATCH',
method_id='datacatalog.projects.locations.taxonomies.patch',
ordered_params=['name'],
path_params=['name'],
query_params=['updateMask'],
relative_path='v1beta1/{+name}',
request_field='googleCloudDatacatalogV1beta1Taxonomy',
request_type_name='DatacatalogProjectsLocationsTaxonomiesPatchRequest',
response_type_name='GoogleCloudDatacatalogV1beta1Taxonomy',
supports_download=False,
)
def SetIamPolicy(self, request, global_params=None):
r"""Sets the IAM policy for a taxonomy or a policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesSetIamPolicyRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(Policy) The response message.
"""
config = self.GetMethodConfig('SetIamPolicy')
return self._RunMethod(
config, request, global_params=global_params)
SetIamPolicy.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}:setIamPolicy',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.setIamPolicy',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:setIamPolicy',
request_field='setIamPolicyRequest',
request_type_name='DatacatalogProjectsLocationsTaxonomiesSetIamPolicyRequest',
response_type_name='Policy',
supports_download=False,
)
def TestIamPermissions(self, request, global_params=None):
r"""Returns the permissions that a caller has on the specified taxonomy or policy tag.
Args:
request: (DatacatalogProjectsLocationsTaxonomiesTestIamPermissionsRequest) input message
global_params: (StandardQueryParameters, default: None) global arguments
Returns:
(TestIamPermissionsResponse) The response message.
"""
config = self.GetMethodConfig('TestIamPermissions')
return self._RunMethod(
config, request, global_params=global_params)
TestIamPermissions.method_config = lambda: base_api.ApiMethodInfo(
flat_path='v1beta1/projects/{projectsId}/locations/{locationsId}/taxonomies/{taxonomiesId}:testIamPermissions',
http_method='POST',
method_id='datacatalog.projects.locations.taxonomies.testIamPermissions',
ordered_params=['resource'],
path_params=['resource'],
query_params=[],
relative_path='v1beta1/{+resource}:testIamPermissions',
request_field='testIamPermissionsRequest',
request_type_name='DatacatalogProjectsLocationsTaxonomiesTestIamPermissionsRequest',
response_type_name='TestIamPermissionsResponse',
supports_download=False,
)
class ProjectsLocationsService(base_api.BaseApiService):
"""Service class for the projects_locations resource."""
_NAME = 'projects_locations'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsLocationsService, self).__init__(client)
self._upload_configs = {
}
class ProjectsService(base_api.BaseApiService):
"""Service class for the projects resource."""
_NAME = 'projects'
def __init__(self, client):
super(DatacatalogV1beta1.ProjectsService, self).__init__(client)
self._upload_configs = {
}
| 48.617506 | 690 | 0.725911 | 7,611 | 81,094 | 7.549074 | 0.055446 | 0.046575 | 0.036376 | 0.022017 | 0.780371 | 0.768954 | 0.735067 | 0.722309 | 0.688005 | 0.653596 | 0 | 0.007084 | 0.181863 | 81,094 | 1,667 | 691 | 48.646671 | 0.858921 | 0.315399 | 0 | 0.664563 | 1 | 0.002705 | 0.324342 | 0.279788 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062218 | false | 0 | 0.010821 | 0 | 0.146078 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
9e6b1662589c47b81534d5d04493d6e68f89b12f | 484 | py | Python | torch/distributed/_sharded_tensor/__init__.py | ljhOfGithub/pytorch | c568f7b16f2a98d72ff5b7c6c6161b67b2c27514 | [
"Intel"
] | 2 | 2020-03-13T06:57:49.000Z | 2020-05-17T04:18:14.000Z | torch/distributed/_sharded_tensor/__init__.py | ellhe-blaster/pytorch | e5282c3cb8bf6ad8c5161f9d0cc271edb9abed25 | [
"Intel"
] | 1 | 2019-07-23T15:23:32.000Z | 2019-07-23T15:32:23.000Z | torch/distributed/_sharded_tensor/__init__.py | ellhe-blaster/pytorch | e5282c3cb8bf6ad8c5161f9d0cc271edb9abed25 | [
"Intel"
] | 2 | 2019-07-23T14:37:31.000Z | 2019-07-23T14:47:13.000Z | # Keep old package for BC purposes, this file should be removed once
# everything moves to the `torch.distributed._shard` package.
import sys
import torch
import warnings
from torch.distributed._shard.sharded_tensor import * # noqa: F403
warnings.warn(
"torch.distributed._sharded_tensor will be deprecated, use torch.distributed._shard.sharded_tensor instead",
DeprecationWarning
)
sys.modules['torch.distributed._sharded_tensor'] = torch.distributed._shard.sharded_tensor
| 37.230769 | 112 | 0.807851 | 63 | 484 | 6.031746 | 0.539683 | 0.252632 | 0.221053 | 0.221053 | 0.268421 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007009 | 0.115702 | 484 | 12 | 113 | 40.333333 | 0.880841 | 0.283058 | 0 | 0 | 0 | 0 | 0.402332 | 0.306122 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.444444 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
9e8ed4e52a2a2219acb99bd78cbe0dc2b184c4df | 80 | py | Python | main.py | strymsg/task-scheduler-at | 333d616e583ebf6f0bf537e2d7ca2c865ba05500 | [
"MIT"
] | 1 | 2021-05-11T20:43:32.000Z | 2021-05-11T20:43:32.000Z | main.py | strymsg/task-scheduler-at | 333d616e583ebf6f0bf537e2d7ca2c865ba05500 | [
"MIT"
] | 7 | 2021-04-26T23:22:10.000Z | 2021-05-18T13:30:41.000Z | main.py | strymsg/task-scheduler-at | 333d616e583ebf6f0bf537e2d7ca2c865ba05500 | [
"MIT"
] | 2 | 2021-05-19T14:05:33.000Z | 2021-12-29T19:11:26.000Z | from task_scheduler.app import create_app
app = create_app()
app.run(port=5000) | 20 | 41 | 0.8 | 14 | 80 | 4.357143 | 0.642857 | 0.295082 | 0.393443 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 0.1 | 80 | 4 | 42 | 20 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
7b39071354ac2b0bfa2b233d0792a019ae2f46f6 | 740 | py | Python | robot/components/controller/IRobotController.py | supnaobed/robots | 0306cfc9dc30345d75175e18b9fc4b436bd854e1 | [
"MIT",
"Unlicense"
] | null | null | null | robot/components/controller/IRobotController.py | supnaobed/robots | 0306cfc9dc30345d75175e18b9fc4b436bd854e1 | [
"MIT",
"Unlicense"
] | null | null | null | robot/components/controller/IRobotController.py | supnaobed/robots | 0306cfc9dc30345d75175e18b9fc4b436bd854e1 | [
"MIT",
"Unlicense"
] | null | null | null | from abc import abstractmethod, ABC
from typing import Optional
class IRobotController(ABC):
@abstractmethod
def move_forward(self, distance: Optional[float]):
pass
@abstractmethod
def move_back(self, distance: float):
pass
@abstractmethod
def move_left(self, distance: float):
pass
@abstractmethod
def move_right(self, distance: float):
pass
@abstractmethod
def stop_move(self):
pass
@abstractmethod
def rotate(self, angle: float):
pass
@abstractmethod
def open_gripper(self):
pass
@abstractmethod
def close_gripper(self):
pass
@abstractmethod
def move_arm(self, x: int, y: int):
pass
| 18.04878 | 54 | 0.633784 | 80 | 740 | 5.7625 | 0.35 | 0.331887 | 0.364425 | 0.281996 | 0.468547 | 0.264642 | 0.182213 | 0 | 0 | 0 | 0 | 0 | 0.290541 | 740 | 40 | 55 | 18.5 | 0.878095 | 0 | 0 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0.3 | 0.066667 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
7b4ac6a555972cc3f4049277340451e96938f0b9 | 138 | py | Python | backend/chess_skill/__init__.py | mosure/assistant-skill-chess | 9f5094905625b562ec5aba114a6fb8a8dc094c37 | [
"MIT"
] | 1 | 2021-05-31T20:44:28.000Z | 2021-05-31T20:44:28.000Z | backend/chess_skill/__init__.py | mosure/chess-assistant-skill | 9f5094905625b562ec5aba114a6fb8a8dc094c37 | [
"MIT"
] | null | null | null | backend/chess_skill/__init__.py | mosure/chess-assistant-skill | 9f5094905625b562ec5aba114a6fb8a8dc094c37 | [
"MIT"
] | null | null | null | from .root import app
from .game_setup import *
from .greeting import *
from .ingame import *
from .unknown import *
__all__ = ['app']
| 13.8 | 25 | 0.710145 | 19 | 138 | 4.894737 | 0.526316 | 0.322581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188406 | 138 | 9 | 26 | 15.333333 | 0.830357 | 0 | 0 | 0 | 0 | 0 | 0.021739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.833333 | 0 | 0.833333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
7b65d29efbcaba57d3c424b7ab2a1a22656d494d | 62 | py | Python | djfw/sortable/__init__.py | kozzztik/tulius | 81b8f6484eefdc453047f62173a08f5e6f640cd6 | [
"MIT"
] | 1 | 2020-04-21T15:09:18.000Z | 2020-04-21T15:09:18.000Z | djfw/sortable/__init__.py | kozzztik/tulius | 81b8f6484eefdc453047f62173a08f5e6f640cd6 | [
"MIT"
] | 70 | 2019-04-10T22:32:32.000Z | 2022-03-11T23:12:54.000Z | djfw/sortable/__init__.py | kozzztik/tulius | 81b8f6484eefdc453047f62173a08f5e6f640cd6 | [
"MIT"
] | 1 | 2019-04-12T14:55:39.000Z | 2019-04-12T14:55:39.000Z | from .views import SortableViewMixin, SortableDetailViewMixin
| 31 | 61 | 0.887097 | 5 | 62 | 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080645 | 62 | 1 | 62 | 62 | 0.964912 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
7b73231383245bd4ed1f6ec0ae2a954247c08a48 | 8,751 | py | Python | initial_processing/dmim_analysis/plots.py | dylanhross/dmccs | 8b403a90b6cb7edd9d7abc172462e9d9b62b5dd3 | [
"MIT"
] | 3 | 2021-05-17T20:19:41.000Z | 2022-02-01T21:43:30.000Z | initial_processing/dmim_analysis/plots.py | dylanhross/dmccs | 8b403a90b6cb7edd9d7abc172462e9d9b62b5dd3 | [
"MIT"
] | null | null | null | initial_processing/dmim_analysis/plots.py | dylanhross/dmccs | 8b403a90b6cb7edd9d7abc172462e9d9b62b5dd3 | [
"MIT"
] | null | null | null | """
dmim_analysis/plots.py
Dylan H. Ross
2019/10/30
description:
Functions for generating plots of various extracted data.
"""
import os
from matplotlib import pyplot as plt, rcParams
from PIL import Image
from io import BytesIO
from dhrmasslynxapi.ccs_calibration import CCSCalibrationRaw
# set fonts and stuff
rcParams['font.family'] = 'sans-serif'
rcParams['font.sans-serif'] = ['Helvetica', 'Arial']
rcParams['font.size'] = 8
def atd_with_fit_and_structure(png, name, adduct, monoiso, ccs, dt_fit_params, atd, rt_fit_params, chromatogram,
mztol, prefix, no_cofac_dti=None, met_rxn=None, met_mass_diff=None):
"""
atd_with_fit_and_structure
description:
generates a plot of arrival time distribution with fitted gaussian peak and residuals, alongside the compound
structure and the LC chromatogram
parameters:
png (bytes) -- PNG image of compound/metabolite structure
name (str) -- compound name
adduct (str) -- type of MS adduct
monoiso (float) -- monoisotopic mass of MS adduct
ccs (float) -- CCS of the adduct
dt_fit_params (tuple(float)) -- parameters from gaussian fit on ATD
atd (numpy.ndarray(float)) -- ATD (2D array: [[drift time], [intensity]])
rt_fit_params (tuple(float)) -- parameters from gaussian fit on chromatogram
chromatogram (numpy.ndarray(float)) -- LC chromatogram (2D array: [[retention time], [intensity]])
mztol (float) -- m/z tolerance
prefix (str) -- path to save images under
[no_cofac_dti (numpy.ndarray(float))] -- intensities from extracted ATD from non-cofactor reaction, for
metabolites only [optional, default=None]
[met_rxn (str)] -- metabolic reaction, for metabolites only [optional, default=None]
[met_mass_diff (float)] -- mass difference of metabolite relative to parent compound [optional, default=None]
"""
# going to use the gauss method from here
ccr = CCSCalibrationRaw(None, None, None, no_init=True)
gs_kw = {'height_ratios': [3, 1, 1]}
fig, (ax1, ax2, ax3) = plt.subplots(3, 1, gridspec_kw=gs_kw, figsize=[3, 6])
if png:
ax1.imshow(Image.open(BytesIO(png)))
ax1.set_axis_off()
ttl = '{} {} \n(m/z: {:.4f} ± {:.4f}, CCS: {:.1f})'.format(name, adduct, monoiso, mztol, ccs)
if met_rxn:
ttl += '\n{:40.40s}'.format(met_rxn)
ttl += '\n({:+.4f})'.format(met_mass_diff)
ax1.set_title(ttl)
A, dt, C = dt_fit_params
t, i = atd
gauss = ccr.gauss(t, A, dt, C)
resids = i - gauss
ax2.plot(t, i, 'b-', lw=1.5, label='raw')
ax2.plot(t, gauss, 'r--', lw=1, label='fit')
ax2.plot(t, resids, 'k-', lw=0.5, label='residuals')
if no_cofac_dti is not None:
ax2.plot(t, no_cofac_dti, '-', c='lime', lw=0.75, label='no cofactors')
ax2.set_title('ATD')
ax2.set_ylabel('intensity')
ax2.set_xlabel('drift time (ms) → {:.2f} ms (FWHM ~ {:.2f} ms)'.format(dt, C * 2.355))
ax2.ticklabel_format(style='sci', scilimits=(0,0), axis='y')
ax2.legend(fontsize=5)
for d in ['top', 'right']:
ax2.spines[d].set_visible(False)
xlab = 'retention time (min)'
t, i = chromatogram
ax3.plot(t, i, 'b-', lw=1.5, label='raw')
if rt_fit_params is not None:
A, dt, C = rt_fit_params
gauss = ccr.gauss(t, A, dt, C)
resids = i - gauss
ax3.plot(t, gauss, 'r--', lw=1, label='fit')
ax3.plot(t, resids, 'k-', lw=0.5, label='residuals')
xlab += '→ {:.2f} min (FWHM ~ {:.2f} min)'.format(dt, C * 2.355)
ax3.set_xlabel(xlab)
ax3.set_title('LC chromatogram')
ax3.set_ylabel('intensity')
ax3.ticklabel_format(style='sci', scilimits=(0, 0), axis='y')
ax3.legend(fontsize=5)
for d in ['top', 'right']:
ax3.spines[d].set_visible(False)
plt.tight_layout()
fname = os.path.join(prefix, '{}_{}.png'.format(name.replace(' ', '_'), adduct))
plt.savefig(fname, dpi=150, bbox_inches='tight')
plt.close()
def parent_atd_with_fit_and_structure(cmpd, prefix):
"""
parent_atd_with_fit_and_structure
description:
generates a plot of arrival time distribution with fitted gaussian peak and residuals, alongside the compound
structure and the LC chromatogram -- for all adducts of the parent compound
parameters:
cmpd (DMIM_data.Compound) -- data structure with all of the analyzed data on a particular compound
prefix (str) -- path to save images under
"""
for adduct in cmpd.adducts:
atd_with_fit_and_structure(
cmpd.png,
cmpd.name,
adduct.adduct,
adduct.monoiso,
adduct.ccs,
adduct.atd_fit_params,
adduct.atd,
adduct.rt_fit_params,
adduct.chromatogram,
adduct.tolerance,
prefix
)
def metabolite_atd_with_fit_and_structure(cmpd, prefix):
"""
metabolite_atd_with_fit_and_structure
description:
generates a plot of arrival time distribution with fitted gaussian peak and residuals, alongside the compound
structure and the LC chromatogram -- for all adducts of all metabolites
parameters:
cmpd (DMIM_data.Compound) -- data structure with all of the analyzed data on a particular compound
prefix (str) -- path to save images under
"""
for metab in cmpd.metabolites:
for adduct in metab.adducts:
atd_with_fit_and_structure(
metab.png,
'{} met{:03d}'.format(cmpd.name, metab.id),
adduct.adduct,
adduct.monoiso,
adduct.ccs,
adduct.atd_fit_params,
adduct.atd,
adduct.rt_fit_params,
adduct.chromatogram,
adduct.tolerance,
prefix,
no_cofac_dti=adduct.no_cofac_dti,
met_rxn=metab.reaction,
met_mass_diff=(metab.monoiso - cmpd.monoiso)
)
def atd_with_fit(name_adduct, monoiso, ccs, dt_fit_params, atd, rt_fit_params, chromatogram, mztol, prefix):
"""
atd_with_fit_and_structure
description:
generates a plot of arrival time distribution with fitted gaussian peak and residuals, alongside the LC
chromatogram
parameters:
name_adduct (str) -- compound name and adduct
monoiso (float) -- monoisotopic mass of MS adduct
ccs (float) -- CCS of the adduct
dt_fit_params (tuple(float)) -- parameters from gaussian fit on ATD
atd (numpy.ndarray(float)) -- ATD (2D array: [[drift time], [intensity]])
rt_fit_params (tuple(float)) -- parameters from gaussian fit on chromatogram
chromatogram (numpy.ndarray(float)) -- LC chromatogram (2D array: [[retention time], [intensity]])
mztol (float) -- m/z tolerance
prefix (str) -- path to save images under
"""
# going to use the gauss method from here
ccr = CCSCalibrationRaw(None, None, None, no_init=True)
fig = plt.figure(figsize=(3, 4))
ax2 = fig.add_subplot(211)
ax3 = fig.add_subplot(212)
ttl = '{} \n(m/z: {:.4f} ± {:.4f}, CCS: {:.1f})'.format(name_adduct, monoiso, mztol, ccs)
ax2.set_title(ttl)
A, dt, C = dt_fit_params
t, i = atd
gauss = ccr.gauss(t, A, dt, C)
resids = i - gauss
ax2.plot(t, i, 'b-', lw=1.5, label='raw')
ax2.plot(t, gauss, 'r--', lw=1, label='fit')
ax2.plot(t, resids, 'k-', lw=0.5, label='residuals')
ax2.set_ylabel('intensity')
ax2.set_xlabel('drift time (ms) → {:.2f} ms (FWHM ~ {:.2f} ms)'.format(dt, C * 2.355))
ax2.ticklabel_format(style='sci', scilimits=(0,0), axis='y')
ax2.legend(fontsize=5)
for d in ['top', 'right']:
ax2.spines[d].set_visible(False)
xlab = 'retention time (min)'
t, i = chromatogram
ax3.plot(t, i, 'b-', lw=1.5, label='raw')
if rt_fit_params is not None:
A, dt, C = rt_fit_params
gauss = ccr.gauss(t, A, dt, C)
resids = i - gauss
ax3.plot(t, gauss, 'r--', lw=1, label='fit')
ax3.plot(t, resids, 'k-', lw=0.5, label='residuals')
xlab += '→ {:.2f} min (FWHM ~ {:.2f} min)'.format(dt, C * 2.355)
ax3.set_xlabel(xlab)
ax3.set_title('LC chromatogram')
ax3.set_ylabel('intensity')
ax3.ticklabel_format(style='sci', scilimits=(0, 0), axis='y')
ax3.legend(fontsize=5)
for d in ['top', 'right']:
ax3.spines[d].set_visible(False)
plt.tight_layout()
fname = os.path.join(prefix, '{}.png'.format(name_adduct))
plt.savefig(fname, dpi=150, bbox_inches='tight')
plt.close()
| 37.238298 | 117 | 0.613758 | 1,216 | 8,751 | 4.300164 | 0.181743 | 0.030981 | 0.019124 | 0.022375 | 0.765538 | 0.761331 | 0.743354 | 0.731115 | 0.712756 | 0.712756 | 0 | 0.023089 | 0.252657 | 8,751 | 234 | 118 | 37.397436 | 0.775535 | 0.363844 | 0 | 0.646617 | 0 | 0.007519 | 0.115126 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030075 | false | 0 | 0.037594 | 0 | 0.067669 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
7b775efa45dd407af515fa427ebeaf2578f6758b | 189 | py | Python | safenotes/helpers.py | Guilherme-Vasconcelos/safenotes | 8c49c3c0cad5c4596524933af6fc378b0c548200 | [
"MIT"
] | 1 | 2020-12-22T17:31:52.000Z | 2020-12-22T17:31:52.000Z | safenotes/helpers.py | Guilherme-Vasconcelos/safenotes | 8c49c3c0cad5c4596524933af6fc378b0c548200 | [
"MIT"
] | 22 | 2020-12-22T17:30:17.000Z | 2020-12-28T08:21:35.000Z | safenotes/helpers.py | Guilherme-Vasconcelos/safenotes | 8c49c3c0cad5c4596524933af6fc378b0c548200 | [
"MIT"
] | null | null | null | from typing import Callable
def display_colored_text(text: str, color: Callable) -> None:
""" Displays the colored text without newline """
print(color(text), end='', flush=True)
| 27 | 61 | 0.703704 | 25 | 189 | 5.24 | 0.76 | 0.167939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169312 | 189 | 6 | 62 | 31.5 | 0.834395 | 0.216931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 0.666667 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
7bcd4b49af33a3b2575249e760d2401939041fcf | 79 | py | Python | lemmiwinks/archive/migration/__init__.py | nesfit/WPD | 543afd5c60862db4aff91b1d3a89b77e690f9383 | [
"MIT"
] | 4 | 2018-01-08T22:46:03.000Z | 2018-04-08T09:02:22.000Z | lemmiwinks/archive/migration/__init__.py | nesfit/WPD | 543afd5c60862db4aff91b1d3a89b77e690f9383 | [
"MIT"
] | 1 | 2018-08-07T18:25:18.000Z | 2018-08-07T18:25:18.000Z | lemmiwinks/archive/migration/__init__.py | nesfit/WPD | 543afd5c60862db4aff91b1d3a89b77e690f9383 | [
"MIT"
] | 1 | 2018-01-08T21:13:41.000Z | 2018-01-08T21:13:41.000Z | from .migrate import IndexFileContainer
from .abstract import MigrationSettings | 39.5 | 39 | 0.886076 | 8 | 79 | 8.75 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088608 | 79 | 2 | 40 | 39.5 | 0.972222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c8aa37fe75f5cad1c718513dcef67fe9d3e80fc8 | 34 | py | Python | src/tokenizer/__init__.py | aboveyou00/cc | 816a2fb8e53723e8f2c72a8e5d9f443057017594 | [
"MIT"
] | null | null | null | src/tokenizer/__init__.py | aboveyou00/cc | 816a2fb8e53723e8f2c72a8e5d9f443057017594 | [
"MIT"
] | null | null | null | src/tokenizer/__init__.py | aboveyou00/cc | 816a2fb8e53723e8f2c72a8e5d9f443057017594 | [
"MIT"
] | null | null | null | from tokenizer.Tokenizer import *
| 17 | 33 | 0.823529 | 4 | 34 | 7 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 34 | 1 | 34 | 34 | 0.933333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
c8d0c24e71476d84ba24835bed0d9fa610053d54 | 125 | py | Python | notebooks/_solutions/03-coordinate-reference-systems6.py | jorisvandenbossche/DS-python-geospatial | 893a12edc5c203a75815f6dcb5f1e18c577c8cd5 | [
"BSD-3-Clause"
] | 58 | 2020-10-09T10:10:59.000Z | 2022-03-07T14:58:07.000Z | notebooks/_solutions/03-coordinate-reference-systems6.py | amitkb3/DS-python-geospatial | 5f156ebff67e06d59b2a7ef446d1fed746ce0650 | [
"BSD-3-Clause"
] | 24 | 2020-09-30T19:57:14.000Z | 2021-10-05T07:21:09.000Z | notebooks/_solutions/03-coordinate-reference-systems6.py | amitkb3/DS-python-geospatial | 5f156ebff67e06d59b2a7ef446d1fed746ce0650 | [
"BSD-3-Clause"
] | 19 | 2020-10-05T09:32:18.000Z | 2022-03-20T00:09:14.000Z | # Convert the districts to the RGF93 reference system
districts_RGF93 = districts.to_crs(epsg=2154) # or to_crs("EPSG:2154") | 62.5 | 71 | 0.784 | 20 | 125 | 4.75 | 0.55 | 0.231579 | 0.189474 | 0.273684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109091 | 0.12 | 125 | 2 | 71 | 62.5 | 0.754545 | 0.592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c8d228718307657a9cb87b420efc28f09337d17b | 23 | py | Python | coursecake/fastapi_app/api_v1/__init__.py | nananananate/CourseScraper | 4ef40cb2bd5f42177c8596fd18ead66b4a9d2379 | [
"MIT"
] | 21 | 2020-07-18T01:17:53.000Z | 2021-09-11T08:28:59.000Z | coursecake/fastapi_app/api_v1/__init__.py | AlfiyaZi/CourseCake | be2af4d0025f2963ed83001004f87df2c6d8b71d | [
"MIT"
] | 4 | 2020-10-03T00:22:20.000Z | 2021-03-31T19:54:33.000Z | coursecake/fastapi_app/api_v1/__init__.py | AlfiyaZi/CourseCake | be2af4d0025f2963ed83001004f87df2c6d8b71d | [
"MIT"
] | 4 | 2020-09-05T05:17:26.000Z | 2020-10-16T05:49:34.000Z | # packaging for api_v1
| 11.5 | 22 | 0.782609 | 4 | 23 | 4.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 0.173913 | 23 | 1 | 23 | 23 | 0.842105 | 0.869565 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
cd9d86beccb3205fe9f0e264ac77ecd1e094745b | 364 | py | Python | src/c4/cmany/build_type.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 20 | 2017-05-17T18:43:08.000Z | 2021-02-13T16:20:53.000Z | src/c4/cmany/build_type.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 8 | 2017-06-04T17:01:06.000Z | 2022-03-17T12:43:32.000Z | src/c4/cmany/build_type.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 1 | 2017-06-04T13:09:19.000Z | 2017-06-04T13:09:19.000Z | from .build_item import BuildItem
# -----------------------------------------------------------------------------
class BuildType(BuildItem):
"""Specifies a build type, ie, one of Release, Debug, etc"""
@staticmethod
def default_str():
return "Release"
@staticmethod
def default():
return BuildType(__class__.default_str())
| 24.266667 | 79 | 0.519231 | 32 | 364 | 5.6875 | 0.65625 | 0.164835 | 0.241758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.186813 | 364 | 14 | 80 | 26 | 0.614865 | 0.365385 | 0 | 0.25 | 0 | 0 | 0.031111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.125 | 0.25 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
cdaf81c74b8a8dcb518ae1b1341f0fa1619fb24c | 366 | py | Python | ext/platypus/build/lib.linux-x86_64-2.7/platypusexceptions.py | mshabbirhasan/Genesis-indel | a62ad7b53ed4621b2a0f27ca7637e16a964d31ca | [
"MIT"
] | 5 | 2019-08-30T06:57:57.000Z | 2019-09-17T14:51:03.000Z | ext/platypus/platypusexceptions.py | mshabbirhasan/Genesis-indel | a62ad7b53ed4621b2a0f27ca7637e16a964d31ca | [
"MIT"
] | null | null | null | ext/platypus/platypusexceptions.py | mshabbirhasan/Genesis-indel | a62ad7b53ed4621b2a0f27ca7637e16a964d31ca | [
"MIT"
] | 1 | 2019-09-17T10:49:31.000Z | 2019-09-17T10:49:31.000Z | """
Module containing new exception classes for
the Platypus caller.
"""
###################################################################################################
class HighCoverageError(Exception):
pass
class LowCoverageError(Exception):
pass
###################################################################################################
| 24.4 | 99 | 0.338798 | 17 | 366 | 7.294118 | 0.764706 | 0.209677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084699 | 366 | 14 | 100 | 26.142857 | 0.370149 | 0.174863 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
cdd3632cb433917463e79143c141e3e80e67fa22 | 224 | py | Python | tests/test.py | JaPaNNeKo/yggdrasil | afd506402acd0260bc5a8b0997c9c73b61661c6f | [
"MIT"
] | null | null | null | tests/test.py | JaPaNNeKo/yggdrasil | afd506402acd0260bc5a8b0997c9c73b61661c6f | [
"MIT"
] | 6 | 2022-03-05T21:00:10.000Z | 2022-03-28T22:10:14.000Z | tests/test.py | JaPaNNeKo/yggdrasil | afd506402acd0260bc5a8b0997c9c73b61661c6f | [
"MIT"
] | 3 | 2021-09-29T19:23:41.000Z | 2021-10-08T15:44:53.000Z | import yggdrasil.runner as ygg
if __name__ == "__main__":
ygg.run("remove",apps="foobar")
# ygg.run("make",apps="foobar")
# ygg.run("make", apps="foobar", force_regen=True)
# ygg.run("update",apps="foobar")
| 28 | 54 | 0.638393 | 31 | 224 | 4.322581 | 0.548387 | 0.179104 | 0.19403 | 0.238806 | 0.373134 | 0.373134 | 0.373134 | 0 | 0 | 0 | 0 | 0 | 0.151786 | 224 | 7 | 55 | 32 | 0.705263 | 0.491071 | 0 | 0 | 0 | 0 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
cde29fa9f1575e08a873e573b5683d0bb6de71b3 | 157 | py | Python | apps/blog/templatetags/full_uri.py | samupl/website | 6eb640f8e8afc4c6801b44c42671dc4f5c1d3471 | [
"MIT"
] | 1 | 2018-07-14T19:54:20.000Z | 2018-07-14T19:54:20.000Z | apps/blog/templatetags/full_uri.py | samupl/website | 6eb640f8e8afc4c6801b44c42671dc4f5c1d3471 | [
"MIT"
] | null | null | null | apps/blog/templatetags/full_uri.py | samupl/website | 6eb640f8e8afc4c6801b44c42671dc4f5c1d3471 | [
"MIT"
] | null | null | null | from django.template.defaultfilters import register
@register.filter
def full_uri(value, request):
return request.build_absolute_uri('/')[:-1] + value
| 22.428571 | 55 | 0.764331 | 20 | 157 | 5.85 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007194 | 0.11465 | 157 | 6 | 56 | 26.166667 | 0.834532 | 0 | 0 | 0 | 0 | 0 | 0.006369 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
a81c20c59560190ff71d30c9efea7b1de449a04f | 163 | py | Python | wsgi.py | gabrielsegalla/Webservice-Financiamento | d86af66a185c0a2f7ff8f968e17d2c298a2de19c | [
"MIT"
] | null | null | null | wsgi.py | gabrielsegalla/Webservice-Financiamento | d86af66a185c0a2f7ff8f968e17d2c298a2de19c | [
"MIT"
] | null | null | null | wsgi.py | gabrielsegalla/Webservice-Financiamento | d86af66a185c0a2f7ff8f968e17d2c298a2de19c | [
"MIT"
] | null | null | null | #
# Conteudo do arquivo `wsgi.py`
#
import sys
sys.path.insert(0, "/home/gabriel/projetos/Webservice-Financiamento")
from server.server import app as application | 20.375 | 69 | 0.773006 | 23 | 163 | 5.478261 | 0.869565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006897 | 0.110429 | 163 | 8 | 70 | 20.375 | 0.862069 | 0.177914 | 0 | 0 | 0 | 0 | 0.358779 | 0.358779 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a8355816f1e525517242b0417796b75d901079a4 | 120 | py | Python | test/tests/loops.py | kevinxucs/pyston | bdb87c1706ac74a0d15d9bc2bae53798678a5f14 | [
"Apache-2.0"
] | 1 | 2015-11-06T03:39:51.000Z | 2015-11-06T03:39:51.000Z | test/tests/loops.py | kevinxucs/pyston | bdb87c1706ac74a0d15d9bc2bae53798678a5f14 | [
"Apache-2.0"
] | null | null | null | test/tests/loops.py | kevinxucs/pyston | bdb87c1706ac74a0d15d9bc2bae53798678a5f14 | [
"Apache-2.0"
] | null | null | null | def f():
for i in xrange(5):
for j in xrange(5):
print i, j
break
break
f()
| 15 | 27 | 0.4 | 18 | 120 | 2.666667 | 0.555556 | 0.333333 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0.5 | 120 | 7 | 28 | 17.142857 | 0.766667 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.142857 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
b51997aab118eafc2da7fae29f11ac94a3cce305 | 121 | py | Python | offers/admin.py | joatuapp/joatu-django | 5626d03ba89c55650ff5bff2e706ca0883ae3b9c | [
"MIT"
] | 10 | 2018-05-13T18:01:57.000Z | 2018-12-23T17:11:14.000Z | offers/admin.py | moileretour/joatu | 9d18cb58b4280235688e269be6fd2d34b77ccead | [
"MIT"
] | 88 | 2018-05-04T15:33:46.000Z | 2022-03-08T21:09:21.000Z | offers/admin.py | joatuapp/joatu-django | 5626d03ba89c55650ff5bff2e706ca0883ae3b9c | [
"MIT"
] | 7 | 2018-05-08T16:05:06.000Z | 2018-09-13T05:49:05.000Z | from django.contrib import admin
from offers.models import Offer
# Register your models here.
admin.site.register(Offer)
| 24.2 | 32 | 0.818182 | 18 | 121 | 5.5 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115702 | 121 | 4 | 33 | 30.25 | 0.925234 | 0.214876 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b523526da5b5e3bde14f8f35b177fcd0504348b3 | 64 | py | Python | my/mycfg_stub/__init__.py | jhermann/HPI | a60c30868b285f233caf65a59d3496082fb9d5c2 | [
"MIT"
] | null | null | null | my/mycfg_stub/__init__.py | jhermann/HPI | a60c30868b285f233caf65a59d3496082fb9d5c2 | [
"MIT"
] | null | null | null | my/mycfg_stub/__init__.py | jhermann/HPI | a60c30868b285f233caf65a59d3496082fb9d5c2 | [
"MIT"
] | null | null | null | # TODO maybe, reuse mycfg_template here?
class paths:
pass
| 12.8 | 40 | 0.71875 | 9 | 64 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21875 | 64 | 4 | 41 | 16 | 0.9 | 0.59375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
b58471a5730ec421428d797e6b291b03f0a5c421 | 60 | py | Python | pyculas/__init__.py | kavinjeveriya/pyculas | 110642e9c2fe2e43bbc581687e1c0f4a72ab4920 | [
"MIT"
] | null | null | null | pyculas/__init__.py | kavinjeveriya/pyculas | 110642e9c2fe2e43bbc581687e1c0f4a72ab4920 | [
"MIT"
] | null | null | null | pyculas/__init__.py | kavinjeveriya/pyculas | 110642e9c2fe2e43bbc581687e1c0f4a72ab4920 | [
"MIT"
] | null | null | null | from pyculas.Expression import *
from pyculas.comb import * | 30 | 33 | 0.8 | 8 | 60 | 6 | 0.625 | 0.458333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 60 | 2 | 34 | 30 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
a919e068031cf0969fcc36f195b88c8567d94df3 | 48 | py | Python | src/patent_client/uspto/fulltext/exceptions.py | parkerhancock/python-ip | 046c1ebbe31e9058a0e421659a3300e8a578fd41 | [
"Apache-2.0"
] | 15 | 2018-10-23T01:15:29.000Z | 2022-02-01T19:53:44.000Z | src/patent_client/uspto/fulltext/exceptions.py | grimmer0125/patent_client | 8943ca970d174ecf8aad10669a95ceddd75f5e13 | [
"Apache-2.0"
] | 33 | 2018-10-26T03:48:51.000Z | 2022-01-17T09:16:07.000Z | src/patent_client/uspto/fulltext/exceptions.py | grimmer0125/patent_client | 8943ca970d174ecf8aad10669a95ceddd75f5e13 | [
"Apache-2.0"
] | 7 | 2019-02-14T20:25:20.000Z | 2021-05-24T07:49:34.000Z |
class FullTextNotAvailable(Exception):
pass | 16 | 38 | 0.791667 | 4 | 48 | 9.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145833 | 48 | 3 | 39 | 16 | 0.926829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
a9290566921b39dcea40726d62baa6a903f089b8 | 292 | py | Python | dataapp/forms.py | ZhiHaoSun/GoogleHackthon | eba15ba236475a7b0fad297a22068f035bb389f9 | [
"MIT"
] | 1 | 2017-09-28T15:20:42.000Z | 2017-09-28T15:20:42.000Z | dataapp/forms.py | ZhiHaoSun/GoogleHackthon | eba15ba236475a7b0fad297a22068f035bb389f9 | [
"MIT"
] | null | null | null | dataapp/forms.py | ZhiHaoSun/GoogleHackthon | eba15ba236475a7b0fad297a22068f035bb389f9 | [
"MIT"
] | null | null | null | from django import forms
from .models import *
import account.forms
from django.forms.extras.widgets import SelectDateWidget
# class SignupForm(account.forms.SignupForm):
# institute = forms.CharField(required = True)
# country = forms.CharField(required = True)
| 26.545455 | 57 | 0.719178 | 32 | 292 | 6.5625 | 0.5 | 0.095238 | 0.209524 | 0.247619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19863 | 292 | 11 | 58 | 26.545455 | 0.897436 | 0.44863 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
8d154a4915127cc1c8c1e4cf3627ba207a4aa018 | 43 | py | Python | addons/ReNimNode/production/__init__.py | V-Sekai/V-Sekai-Blender-tools | 3473ad4abb737756290a9007273519460742960d | [
"MIT"
] | 2 | 2021-12-21T16:38:58.000Z | 2022-01-08T00:56:35.000Z | addons/ReNimNode/production/__init__.py | V-Sekai/V-Sekai-Blender-game-tools | 3473ad4abb737756290a9007273519460742960d | [
"MIT"
] | 1 | 2022-01-29T05:46:50.000Z | 2022-01-29T05:46:50.000Z | addons/ReNimNode/production/__init__.py | V-Sekai/V-Sekai-Blender-game-tools | 3473ad4abb737756290a9007273519460742960d | [
"MIT"
] | 1 | 2021-11-07T19:41:34.000Z | 2021-11-07T19:41:34.000Z | # where some production ready script belong | 43 | 43 | 0.837209 | 6 | 43 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139535 | 43 | 1 | 43 | 43 | 0.972973 | 0.953488 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
8d173de46b8a220ef2ed2560ba23ea2e44f749eb | 4,832 | py | Python | web/doctor/views.py | Arvind-4/HealthCare | 491eb77cb43add1d1750bfc417b1bac018e03937 | [
"MIT"
] | null | null | null | web/doctor/views.py | Arvind-4/HealthCare | 491eb77cb43add1d1750bfc417b1bac018e03937 | [
"MIT"
] | null | null | null | web/doctor/views.py | Arvind-4/HealthCare | 491eb77cb43add1d1750bfc417b1bac018e03937 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from django.conf import settings
from django.core.mail import send_mail
from django.contrib import messages
from .forms import AppointmentForm, DoctorJoinForm
from .models import Appointment
from .utils import data
from backend.views import CustomView
# Create your views here.
class HomeView(CustomView):
template_name = 'doctor/index.html'
async def get(self, request, *args, **kwargs):
form = AppointmentForm()
context = {
'form': form,
}
return render(request, self.template_name, context=context)
async def post(self, request, *args, **kwargs):
form = AppointmentForm(request.POST)
if form.is_valid():
name = form.cleaned_data.get('name')
email = form.cleaned_data.get('email')
date = form.cleaned_data.get('date')
phone_number = form.cleaned_data.get('phone_number')
content = form.cleaned_data.get('content')
subject = 'Appointment Details'
message = data(
name=name,
email=email,
date=date.date(),
phone_number=phone_number,
content=content
)
email_from = settings.EMAIL_HOST_USER
recipient_list = [email, ]
send_mail(subject, message, email_from, recipient_list)
instance = Appointment.objects.create(
name=name,
email=email,
date=date,
phone_number=phone_number,
content=content
)
return redirect('/')
context = {
'form': form,
}
return render(request, self.template_name, context=context)
class BlogView(CustomView):
template_name = 'doctor/blog.html'
context = {}
async def get(self, request, *args, **kwargs):
return render(request, self.template_name, context=self.context)
class ContactView(CustomView):
template_name = 'doctor/contact.html'
async def get(self, request, *args, **kwargs):
form = AppointmentForm(request.POST or None)
context = {
'form': form,
}
return render(request, self.template_name, context=context)
async def post(self, request, *args, **kwargs):
form = AppointmentForm(request.POST)
if form.is_valid():
name = form.cleaned_data.get('name')
email = form.cleaned_data.get('email')
date = form.cleaned_data.get('date')
phone_number = form.cleaned_data.get('phone_number')
content = form.cleaned_data.get('content')
subject = 'Appointment Details'
message = data(
name=name,
email=email,
date=date.date(),
phone_number=phone_number,
content=content
)
email_from = settings.EMAIL_HOST_USER
recipient_list = [email, ]
send_mail(subject, message, email_from, recipient_list)
instance = form.save()
return redirect('/')
context = {
'form': form,
}
return render(request, self.template_name, context=context)
class DoctorView(CustomView):
template_name = 'doctor/doctors.html'
async def get(self, request, *args, **kwargs):
context = {
'form': DoctorJoinForm()
}
return render(request, self.template_name, context=context)
async def post(self, request, *args, **kwargs):
form = DoctorJoinForm(request.POST, request.FILES)
if form.is_valid():
instance = form.save(commit=False)
# file_name = form.cleaned_data.get()
file_name_form = form.cleaned_data.get('file_field')
if file_name_form:
instance.file_field = file_name_form
instance.save()
return redirect('/')
else:
return redirect('/error/')
context = {
'form': form,
}
return render(request, self.template_name, context=context)
class FaqView(CustomView):
template_name = 'doctor/faq.html'
context = {}
async def get(self, request, *args, **kwargs):
return render(request, self.template_name, context=self.context)
class GalleryView(CustomView):
template_name = 'doctor/gallery.html'
context = {}
async def get(self, request, *args, **kwargs):
return render(request, self.template_name, context=self.context)
class ServiceView(CustomView):
template_name = 'doctor/services.html'
async def get(self, request, *args, **kwargs):
form = AppointmentForm()
context = {
'form': form,
}
return render(request, self.template_name, context=context)
async def post(self, request, *args, **kwargs):
form = AppointmentForm(request.POST)
if form.is_valid():
name = form.cleaned_data.get('name')
email = form.cleaned_data.get('email')
date = form.cleaned_data.get('date')
phone_number = form.cleaned_data.get('phone_number')
content = form.cleaned_data.get('content')
subject = 'Appointment Details'
message = data(
name=name,
email=email,
date=date.date(),
phone_number=phone_number,
content=content
)
email_from = settings.EMAIL_HOST_USER
recipient_list = [email, ]
send_mail(subject, message, email_from, recipient_list)
instance = form.save()
return redirect('/')
context = {
'form': form,
}
return render(request, self.template_name, context=context)
| 29.82716 | 66 | 0.709023 | 607 | 4,832 | 5.505766 | 0.138386 | 0.064632 | 0.076302 | 0.091562 | 0.754638 | 0.740275 | 0.734889 | 0.734889 | 0.70766 | 0.70766 | 0 | 0 | 0.164321 | 4,832 | 162 | 67 | 29.82716 | 0.827637 | 0.01221 | 0 | 0.693333 | 0 | 0 | 0.069377 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.053333 | 0 | 0.273333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
8d4df34872c81c893841b3fb9cb46421034247be | 65 | py | Python | query_mutation_subscription/secret.example.py | thinkAmi-sandbox/AWS_AppSync_python_client-sample | 4b7acd8d39e741208f5764372205d9d7b29f62c2 | [
"Unlicense"
] | 2 | 2020-07-08T15:06:34.000Z | 2020-08-27T12:01:39.000Z | lambda_datasource/secret.example.py | thinkAmi-sandbox/AWS_AppSync_python_client-sample | 4b7acd8d39e741208f5764372205d9d7b29f62c2 | [
"Unlicense"
] | 1 | 2021-04-30T20:53:14.000Z | 2021-04-30T20:53:14.000Z | query_mutation_subscription/secret.example.py | thinkAmi-sandbox/AWS_AppSync_python_client-sample | 4b7acd8d39e741208f5764372205d9d7b29f62c2 | [
"Unlicense"
] | null | null | null | API_KEY = 'your AppSync API Key'
API_URL = 'your AppSync API URL' | 32.5 | 32 | 0.738462 | 12 | 65 | 3.833333 | 0.416667 | 0.26087 | 0.608696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169231 | 65 | 2 | 33 | 32.5 | 0.851852 | 0 | 0 | 0 | 0 | 0 | 0.606061 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a5d90e96e610bfdfb4271d9303112370d7bb3348 | 110 | py | Python | python_modules/dagster/dagster/cli/workspace/__init__.py | bitdotioinc/dagster | 4fe395a37b206b1a48b956fa5dd72bf698104cca | [
"Apache-2.0"
] | 2 | 2021-06-21T17:50:26.000Z | 2021-06-21T19:14:23.000Z | python_modules/dagster/dagster/cli/workspace/__init__.py | bitdotioinc/dagster | 4fe395a37b206b1a48b956fa5dd72bf698104cca | [
"Apache-2.0"
] | 7 | 2022-03-16T06:55:04.000Z | 2022-03-18T07:03:25.000Z | python_modules/dagster/dagster/cli/workspace/__init__.py | bitdotioinc/dagster | 4fe395a37b206b1a48b956fa5dd72bf698104cca | [
"Apache-2.0"
] | 1 | 2021-08-18T17:21:57.000Z | 2021-08-18T17:21:57.000Z | from .cli_target import get_workspace_from_kwargs, workspace_target_argument
from .workspace import Workspace
| 36.666667 | 76 | 0.890909 | 15 | 110 | 6.133333 | 0.533333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081818 | 110 | 2 | 77 | 55 | 0.910891 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a5ebef2a1fa103d44106810f349ee7f4ab7c959b | 155 | py | Python | lot-dash.py | bananalytics/lot-dash | 37fa10f56e32422075089702f5d09f9be6dd8738 | [
"MIT"
] | 1 | 2021-11-11T18:13:03.000Z | 2021-11-11T18:13:03.000Z | lot-dash.py | filipwodnicki/lot-dash | 37fa10f56e32422075089702f5d09f9be6dd8738 | [
"MIT"
] | null | null | null | lot-dash.py | filipwodnicki/lot-dash | 37fa10f56e32422075089702f5d09f9be6dd8738 | [
"MIT"
] | null | null | null | from app import app
# , db
# from app.models import User
# @app.shell_context_processor
# def make_shell_context():
# return {'db': db, 'User': User} | 19.375 | 37 | 0.683871 | 23 | 155 | 4.434783 | 0.521739 | 0.137255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.180645 | 155 | 8 | 37 | 19.375 | 0.80315 | 0.793548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
5718b880d7c657bb39c4279555f85ac14c9f09ea | 69 | py | Python | example/tutorials/code/rtt-quickstart.py | 00make/Rosetta-zh | 75f4f59956bd24bbf16637d94bede8b65c9db017 | [
"Apache-2.0"
] | null | null | null | example/tutorials/code/rtt-quickstart.py | 00make/Rosetta-zh | 75f4f59956bd24bbf16637d94bede8b65c9db017 | [
"Apache-2.0"
] | null | null | null | example/tutorials/code/rtt-quickstart.py | 00make/Rosetta-zh | 75f4f59956bd24bbf16637d94bede8b65c9db017 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import latticex.rosetta as rtt
print('DONE!')
| 17.25 | 30 | 0.73913 | 11 | 69 | 4.636364 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016129 | 0.101449 | 69 | 3 | 31 | 23 | 0.806452 | 0.304348 | 0 | 0 | 0 | 0 | 0.106383 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 5 |
572ef0110d30887bcb5492377ef17951452a86c4 | 33 | py | Python | login.py | qietingfanyin/test_python | 2edf9191d25b93b8cc5b6d45df770478da59f6d1 | [
"MIT"
] | null | null | null | login.py | qietingfanyin/test_python | 2edf9191d25b93b8cc5b6d45df770478da59f6d1 | [
"MIT"
] | null | null | null | login.py | qietingfanyin/test_python | 2edf9191d25b93b8cc5b6d45df770478da59f6d1 | [
"MIT"
] | null | null | null |
num1 = 10
num2 = 20
num3 = 3000
| 6.6 | 11 | 0.606061 | 6 | 33 | 3.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.478261 | 0.30303 | 33 | 4 | 12 | 8.25 | 0.391304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
5748669d7e706cd1bba27de5582c72836c1868b8 | 81 | py | Python | icekit/utils/search/__init__.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 52 | 2016-09-13T03:50:58.000Z | 2022-02-23T16:25:08.000Z | icekit/utils/search/__init__.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 304 | 2016-08-11T14:17:30.000Z | 2020-07-22T13:35:18.000Z | icekit/utils/search/__init__.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 12 | 2016-09-21T18:46:35.000Z | 2021-02-15T19:37:50.000Z | from views import ICEkitSearchView
from search_indexes import AbstractLayoutIndex | 40.5 | 46 | 0.91358 | 9 | 81 | 8.111111 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08642 | 81 | 2 | 46 | 40.5 | 0.986486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
93dce94e618038fd8f84369c3f0888d09bb916ea | 101 | py | Python | libs/__init__.py | MuriukiPM/Python-Messenger-Bot | a0e76fdb2ba9e1f30899b4b44ea881b9da1eac08 | [
"MIT"
] | 1 | 2020-09-08T13:45:31.000Z | 2020-09-08T13:45:31.000Z | libs/__init__.py | MuriukiPM/Python-Messenger-Bot | a0e76fdb2ba9e1f30899b4b44ea881b9da1eac08 | [
"MIT"
] | null | null | null | libs/__init__.py | MuriukiPM/Python-Messenger-Bot | a0e76fdb2ba9e1f30899b4b44ea881b9da1eac08 | [
"MIT"
] | null | null | null | '''
'''
from .models import DBUsers, DBOrders
from . import utils
__all__ = ('DBUsers', 'DBOrders') | 14.428571 | 37 | 0.673267 | 11 | 101 | 5.818182 | 0.636364 | 0.46875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158416 | 101 | 7 | 38 | 14.428571 | 0.752941 | 0 | 0 | 0 | 0 | 0 | 0.159574 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
9e07c0f78225de107bd24b8c9e451e4d99682c19 | 4,510 | py | Python | src/get_finetuningtester.py | ssg-research/WAFFLE | d7168f48421146ed30315b6a4c54fcb5582048b6 | [
"Apache-2.0"
] | 1 | 2022-03-10T03:50:41.000Z | 2022-03-10T03:50:41.000Z | src/get_finetuningtester.py | ssg-research/WAFFLE | d7168f48421146ed30315b6a4c54fcb5582048b6 | [
"Apache-2.0"
] | 3 | 2021-11-01T19:42:28.000Z | 2021-11-10T12:18:59.000Z | src/get_finetuningtester.py | ssg-research/WAFFLE | d7168f48421146ed30315b6a4c54fcb5582048b6 | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import cm
from matplotlib.transforms import BlendedGenericTransform
file = 'train_record/epoch_logs_cifar10_to_pattern_ws100_vgg16_100c-P_R20.pt.txt'
test_acc = np.zeros((11,2))
wm_acc = np.zeros((11,2))
with open(file ,'r') as file_obj:
for line in file_obj:
if 'FinetuningTester,' in line and 'Test Acc' in line:
line_arr = line.replace(':', ',').strip().split(',')
epoch = int(line_arr[4])
n_adv = int(int(line_arr[2])/40)
if epoch%10 == 0:
idx = int(epoch/10)
test_acc[idx, n_adv] += float(line_arr[-1])
elif 'FinetuningTester,' in line and 'Watermark Acc' in line:
line_arr = line.replace(':', ',').strip().split(',')
epoch = int(line_arr[4])
n_adv = int(int(line_arr[2])/40)
if epoch%10 == 0:
idx = int(epoch/10)
wm_acc[idx, n_adv] += float(line_arr[-1])
elif ('FL model,' in line) and ('Test Acc:' in line):
line_arr = line.split()
test_acc[0,:] = np.float(line_arr[-1])*4
elif ('FL model,' in line) and ('Watermark Acc:' in line):
line_arr = line.split()
wm_acc[0,:] = np.float(line_arr[-1])*4
test_acc = test_acc/4.0
wm_acc = wm_acc/4.0
print("Test acc with 1 adv")
print(test_acc[:,0])
print("WM acc with 1 adv")
print(wm_acc[:,0])
#print("Test acc with 40 adv")
#print(test_acc[:,1])
#print("WM acc with 40 adv")
#print(wm_acc[:,1])
test_acc = np.zeros((101))
wm_acc = np.zeros((101))
with open(file ,'r') as file_obj:
for line in file_obj:
if 'Neural cleanse with unlearning,' in line and 'Test Acc' in line and 'Epoch:1,' in line:
line_arr = line.replace(':', ',').strip().split(',')
epoch = int(line_arr[4])
n_adv = int(int(line_arr[2]))
print(n_adv)
test_acc[n_adv-1] += float(line_arr[-1])
elif 'Neural cleanse with unlearning,' in line and 'Watermark Acc' in line and 'Epoch:1,' in line:
line_arr = line.replace(':', ',').strip().split(',')
epoch = int(line_arr[4])
n_adv = int(int(line_arr[2]))
print(n_adv)
wm_acc[n_adv-1] += float(line_arr[-1])
elif ('FL model,' in line) and ('Test Acc:' in line):
line_arr = line.split()
test_acc[-1] = np.float(line_arr[-1])*4
elif ('FL model,' in line) and ('Watermark Acc:' in line):
line_arr = line.split()
wm_acc[-1] = np.float(line_arr[-1])*4
test_acc = test_acc/4.0
wm_acc = wm_acc/4.0
print("Test acc")
print(test_acc)
print("WM acc ")
print(wm_acc)
"""
FL model, num of adv:5, Test Acc: 86.2
FL model, num of adv:5, Watermark Acc: 99.0
Neural cleanse with unlearning, num of adv:5, Epoch:1, Average loss: 0.01, Test Acc: 82.36
Neural cleanse with unlearning, num of adv:5, Epoch:1, Watermark Acc: 35.0
Neural cleanse with unlearning, num of adv:5, Epoch:2, Average loss: 0.01, Test Acc: 82.07
Neural cleanse with unlearning, num of adv:5, Epoch:2, Watermark Acc: 29.0
Neural cleanse with unlearning, num of adv:5, Epoch:3, Average loss: 0.01, Test Acc: 83.93
Neural cleanse with unlearning, num of adv:5, Epoch:3, Watermark Acc: 20.0
Neural cleanse with unlearning, num of adv:5, Epoch:4, Average loss: 0.01, Test Acc: 83.83
Neural cleanse with unlearning, num of adv:5, Epoch:4, Watermark Acc: 34.0
Neural cleanse with unlearning, num of adv:5, Epoch:5, Average loss: 0.01, Test Acc: 84.32
Neural cleanse with unlearning, num of adv:5, Epoch:5, Watermark Acc: 49.0
Neural cleanse with unlearning, num of adv:5, Epoch:6, Average loss: 0.01, Test Acc: 84.19
Neural cleanse with unlearning, num of adv:5, Epoch:6, Watermark Acc: 47.0
Neural cleanse with unlearning, num of adv:5, Epoch:7, Average loss: 0.01, Test Acc: 84.18
Neural cleanse with unlearning, num of adv:5, Epoch:7, Watermark Acc: 44.0
Neural cleanse with unlearning, num of adv:5, Epoch:8, Average loss: 0.01, Test Acc: 84.29
Neural cleanse with unlearning, num of adv:5, Epoch:8, Watermark Acc: 53.0
Neural cleanse with unlearning, num of adv:5, Epoch:9, Average loss: 0.01, Test Acc: 84.32
Neural cleanse with unlearning, num of adv:5, Epoch:9, Watermark Acc: 52.0
Neural cleanse with unlearning, num of adv:5, Epoch:10, Average loss: 0.01, Test Acc: 84.35
Neural cleanse with unlearning, num of adv:5, Epoch:10, Watermark Acc: 51.0
""" | 45.555556 | 106 | 0.636807 | 774 | 4,510 | 3.616279 | 0.126615 | 0.077528 | 0.133619 | 0.212219 | 0.810647 | 0.775277 | 0.763844 | 0.667738 | 0.666309 | 0.6413 | 0 | 0.066781 | 0.22306 | 4,510 | 99 | 107 | 45.555556 | 0.732021 | 0.020843 | 0 | 0.53125 | 0 | 0 | 0.140173 | 0.027058 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.078125 | 0 | 0.078125 | 0.15625 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
9e085b293880fde1c37e47810110c96b350aaafc | 174 | py | Python | app/models/data/userResource.py | BrunoNicholas/ubunifu-mtn-ciss | a1cccf1e8c32ecad7f7ecfdde4cae615cbc52388 | [
"MIT"
] | null | null | null | app/models/data/userResource.py | BrunoNicholas/ubunifu-mtn-ciss | a1cccf1e8c32ecad7f7ecfdde4cae615cbc52388 | [
"MIT"
] | null | null | null | app/models/data/userResource.py | BrunoNicholas/ubunifu-mtn-ciss | a1cccf1e8c32ecad7f7ecfdde4cae615cbc52388 | [
"MIT"
] | null | null | null | # this collects all the resource data provided to us
class UsersData:
""" This list stands as the database table for the users """
def __init__(self):
pass
| 21.75 | 64 | 0.678161 | 25 | 174 | 4.56 | 0.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.258621 | 174 | 7 | 65 | 24.857143 | 0.883721 | 0.603448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.333333 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
f552e3d354f49f9200194c53fda7b98a3f9bdd60 | 4,204 | py | Python | util/kit_case_signet/item_merge_case_numeral.py | wq0909/widget | b253019486d9c26314b100bafff931e0369bc7ec | [
"MIT"
] | null | null | null | util/kit_case_signet/item_merge_case_numeral.py | wq0909/widget | b253019486d9c26314b100bafff931e0369bc7ec | [
"MIT"
] | null | null | null | util/kit_case_signet/item_merge_case_numeral.py | wq0909/widget | b253019486d9c26314b100bafff931e0369bc7ec | [
"MIT"
] | null | null | null | # coding=utf-8
# == 数值 ================================================================================
def required(name, k, v, dict_case_form_widget, items):
# noinspection PyBroadException
try:
dict_case_form_widget['rule'][k]['expect'] = False if v else True
except Exception as e:
print("控件 {} 的 {} 场景异常。".format(name, k))
print(e)
def min(name, k, v, dict_case_form_widget, items):
# noinspection PyBroadException
try:
place = 0
if hasattr(items, 'decimal_place'):
place = items['decimal_place']
# 设置最小值
dict_case_form_widget['rule']['min']['step']['value'] = v
# 设置小于最小值
dict_case_form_widget['rule']['less_min']['step']['value'] = v - 10 ** (0 - place)
if v < 0:
# 允许负数
dict_case_form_widget['rule']['negative_number']['disabled'] = True
if v > 0:
# 不允许负数
dict_case_form_widget['rule']['negative_number']['disabled'] = False
dict_case_form_widget['rule']['negative_number']['step']['value'] = 0 - 10 ** (0 - place)
dict_case_form_widget['rule']['negative_number']['expect'] = False
except Exception as e:
print("控件 {} 的 {} 场景异常。".format(name, k))
print(e)
def max(name, k, v, dict_case_form_widget, items):
# noinspection PyBroadException
try:
place = 0
if hasattr(items, 'decimal_place'):
place = items['decimal_place']
# 设置最大值
dict_case_form_widget['rule']['max']['step']['value'] = v
# 设置大于最大值
dict_case_form_widget['rule']['over_max']['step']['value'] = v + 10 ** (0 - place)
if v > 0:
# 允许正数
dict_case_form_widget['rule']['positive_number']['disabled'] = True
if v < 0:
# 不允许正数
dict_case_form_widget['rule']['positive_number']['disabled'] = False
dict_case_form_widget['rule']['positive_number']['step']['value'] = 0 + 10 ** (0 - place)
dict_case_form_widget['rule']['positive_number']['expect'] = False
if items['min'] <= 0 <= v:
# 允许为0，零值用例重复
dict_case_form_widget['rule']['zero']['disabled'] = True # 不用执行
dict_case_form_widget['rule']['zero']['expect'] = True
else:
dict_case_form_widget['rule']['zero']['disabled'] = False # 需要执行
dict_case_form_widget['rule']['zero']['expect'] = False
except Exception as e:
print("控件 {} 的 {} 场景异常。".format(name, k))
print(e)
def decimal_place(name, k, v, dict_case_form_widget, items):
# noinspection PyBroadException
try:
if v == 0:
# 不允许小数
dict_case_form_widget['rule'][k]['disabled'] = False
dict_case_form_widget['rule'][k]['step']['value'] = items['min'] + 0.1
dict_case_form_widget['rule'][k]['expect'] = False
dict_case_form_widget['rule']['min_float_plus_n_decimal_place']['disabled'] = True
dict_case_form_widget['rule']['over_decimal_place']['disabled'] = True
if v > 0:
# 允许小数
dict_case_form_widget['rule']['decimal']['disabled'] = True
dict_case_form_widget['rule']['min_float_plus_n_decimal_place']['disabled'] = False
value = []
for i in range(1, v+1):
value.append(items['min'] + 10**(0-i))
dict_case_form_widget['rule']['min_float_plus_n_decimal_place']['step']['value'] = value
dict_case_form_widget['rule']['min_float_plus_n_decimal_place']['expect'] = True
dict_case_form_widget['rule']['over_decimal_place']['disabled'] = False
dict_case_form_widget['rule']['over_decimal_place']['step']['value'] = items['min'] + 10**(-1-v)
dict_case_form_widget['rule']['over_decimal_place']['expect'] = False
except Exception as e:
print("控件 {} 的 {} 场景异常。".format(name, k))
print(e)
# --------------------------------
# def decimal_place(x):
# """获取小数位数，0表示没有小数"""
# place = 0
# numeral_array = str(x).split(".")
# if len(numeral_array) > 1:
# place = len(numeral_array[1])
# return place
| 40.423077 | 108 | 0.557326 | 511 | 4,204 | 4.299413 | 0.156556 | 0.120164 | 0.180246 | 0.270369 | 0.822485 | 0.788348 | 0.746928 | 0.645881 | 0.475649 | 0.455621 | 0 | 0.012476 | 0.256422 | 4,204 | 103 | 109 | 40.815534 | 0.690339 | 0.123692 | 0 | 0.409091 | 0 | 0 | 0.22593 | 0.032823 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0 | 0 | 0.060606 | 0.121212 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
f55c5b95b97ccbb6dd22bd1c79b65532fb8181b7 | 81,852 | py | Python | datawinners/main/ut_couch_fixtures.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/main/ut_couch_fixtures.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/main/ut_couch_fixtures.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | # vim: ai ts=4 sts=4 et sw=4 encoding=utf-8
from datetime import datetime, timedelta
from dateutil.relativedelta import relativedelta
from django.contrib.auth.models import User
from django.core.management import call_command
from mock import patch
from pytz import UTC
from datawinners import initializer
from datawinners.accountmanagement.models import OrganizationSetting, Organization, TEST_REPORTER_MOBILE_NUMBER, NGOUserProfile
from datawinners.location.LocationTree import get_location_hierarchy, get_location_tree
from datawinners.main.management.commands.utils import TEST_EMAILS
from datawinners.project.models import Reminder, ReminderMode
from datawinners.messageprovider.messages import SMS
from datawinners.feeds.database import get_feeds_database
from datawinners.main.database import get_database_manager, get_db_manager
from datawinners.main.initial_template_creation import create_questionnaire_templates
from mangrove.form_model.project import Project
from mangrove.form_model.validators import UniqueIdExistsValidator
from mangrove.errors.MangroveException import DataObjectAlreadyExists
from mangrove.form_model.field import TextField, IntegerField, DateField, SelectField, GeoCodeField, UniqueIdField
from mangrove.form_model.form_model import FormModel, NAME_FIELD, MOBILE_NUMBER_FIELD, get_form_model_by_code
from mangrove.form_model.validation import NumericRangeConstraint, TextLengthConstraint
from mangrove.transport.player.player import SMSPlayer
from mangrove.transport import Request, TransportInfo
from mangrove.transport.repository.reporters import REPORTER_ENTITY_TYPE
from datawinners.tests.test_data_utils import load_manager_for_default_ut_account, create_entity_types, define_entity_instance, register
from mangrove.transport.player.new_players import SMSPlayerV2, WebPlayerV2
from datawinners.submission.location import LocationBridge
class DateTimeMocker(object):
def __init__(self):
self.datetime_patcher = patch("mangrove.datastore.entity.utcnow")
self.submission_date_patcher = patch("mangrove.datastore.documents.utcnow")
self.submission_date_mock = self.submission_date_patcher.start()
self.datetime_mock = self.datetime_patcher.start()
def set_date_time_now(self, val):
self.datetime_mock.return_value = val
self.submission_date_mock.return_value = val
def end_mock(self):
self.datetime_patcher.stop()
self.submission_date_patcher.stop()
def load_clinic_entities(CLINIC_ENTITY_TYPE, manager):
e = define_entity_instance(manager, CLINIC_ENTITY_TYPE, ['India', 'MP', 'Bhopal'], short_code="cid001",
geometry={"type": "Point", "coordinates": [23.2833, 77.35]},
name="Test", firstname="Bhopal Clinic", description="This a clinic in Bhopal.",
mobile_number="123456")
e.set_aggregation_path("governance", ["Director", "Med_Officer", "Surgeon"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, CLINIC_ENTITY_TYPE, ['India', 'MP', 'Satna'], short_code="cid002",
geometry={"type": "Point", "coordinates": [24.5667, 80.8333]},
name="Test", firstname="Satna Clinic", description="This a clinic in Satna.",
mobile_number="123457")
e.set_aggregation_path("governance", ["Director", "Med_Supervisor", "Surgeon"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, CLINIC_ENTITY_TYPE, ['India', 'MP', 'Jabalpur'], short_code="cid003",
geometry={"type": "Point", "coordinates": [23.2, 79.95]},
name="Test", firstname="Jabalpur Clinic", description="This a clinic in Jabalpur.",
mobile_number="123458")
e.set_aggregation_path("governance", ["Director", "Med_Officer", "Doctor"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, CLINIC_ENTITY_TYPE, ['India', 'MP', 'Khandwa'], short_code="cid004",
geometry={"type": "Point", "coordinates": [21.8333, 76.3667]},
name="Test", firstname="Khandwa Clinic", description="This a clinic in Khandwa.",
mobile_number="123459")
e.set_aggregation_path("governance", ["Director", "Med_Supervisor", "Nurse"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, CLINIC_ENTITY_TYPE, ['India', 'Kerala', 'Kochi'], short_code="cid005",
geometry={"type": "Point", "coordinates": [9.939248, 76.259625]},
name="Test", firstname="Kochi Clinic", description="This a clinic in Kochi.",
mobile_number="123460")
e.set_aggregation_path("governance", ["Director", "Med_Officer", "Nurse"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, CLINIC_ENTITY_TYPE, ['India', 'Madhya Pradesh', 'New Gwalior'],
short_code="cid006", geometry={"type": "Point", "coordinates": [26.227112, 78.18708]},
name="Test", firstname="New Gwalior Clinic", description="This a clinic in New Gwalior.",
mobile_number="1234561")
e.set_aggregation_path("governance", ["Director", "Med_Officer", "Nurse"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, CLINIC_ENTITY_TYPE, ['India', 'Madhya Pradesh', 'Indore'], short_code="cid007",
geometry={"type": "Point", "coordinates": [22.7167, 75.8]},
name="Test", firstname="Indore Clinic", description="This a clinic in Indore.",
mobile_number="1234562")
e.set_aggregation_path("governance", ["Director", "Med_Officer", "Nurse"])
try:
e.save()
except Exception:
pass
def load_waterpoint_entities(WATER_POINT_ENTITY_TYPE, manager):
e = define_entity_instance(manager, WATER_POINT_ENTITY_TYPE, ['India', 'Gujrat', 'Ahmedabad'], short_code="wp01",
geometry={"type": "Point", "coordinates": [23.0395677, 72.566005]},
name="Test", firstname="Ahmedabad waterpoint",
description="This a waterpoint in Ahmedabad.",
mobile_number="1234563")
e.set_aggregation_path("governance", ["Commune Head", "Commune Lead", "Commune People"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, WATER_POINT_ENTITY_TYPE, ['India', 'Gujrat', 'Bhuj'], short_code="wp02",
geometry={"type": "Point", "coordinates": [23.251671, 69.66256]},
name="Test", firstname="Bhuj waterpoint", description="This a waterpoint in Bhuj.",
mobile_number="1234564")
e.set_aggregation_path("governance", ["Commune Head", "Commune Lead", "Commune People"])
try:
e.save()
except Exception:
pass
e = define_entity_instance(manager, WATER_POINT_ENTITY_TYPE, ['India', 'Haryana', 'Gurgaon'], short_code="wp03",
geometry={"type": "Point", "coordinates": [28.46385, 77.017838]},
name="Test", firstname="Gurgaon waterpoint", description="This a waterpoint in Gurgaon.",
mobile_number="1234564")
e.set_aggregation_path("governance", ["Commune Head", "Commune Lead", "Commune People"])
try:
e.save()
except Exception:
pass
def create_questions(unique_id_type):
question1 = UniqueIdField(unique_id_type=unique_id_type[0], label="What is associatéd entity?", code="eid",
name="What is associatéd entity?", instruction="Answer must be 12 characters maximum")
question2 = TextField(label="What is your namé?", code="NA", name="What is your namé?",
constraints=[TextLengthConstraint(min=1, max=10)],
defaultValue="some default value",
instruction="Answer must be a word or phrase 10 characters maximum")
question3 = IntegerField(label="What is age öf father?", code="FA", name="What is age öf father?",
constraints=[NumericRangeConstraint(min=18, max=100)],
instruction="Answer must be a number between 18-100.")
question4 = DateField(label="What is réporting date?", code="RD", name="What is réporting date?",
date_format="dd.mm.yyyy",
instruction="Answer must be a date in the following format: day.month.year. Example: 25.12.2011")
question5 = SelectField(label="What is your blood group?", code="BG", name="What is your blood group?",
options=[("O+", "a"), ("O-", "b"), ("AB", "c"), ("B+", "d")], single_select_flag=True,
instruction="Choose 1 answer from the list.")
question6 = SelectField(label="What aré symptoms?", code="SY", name="What aré symptoms?",
options=[("Rapid weight loss", "a"), ("Dry cough", "b"), ("Pneumonia", "c"),
("Memory loss", "d"), ("Neurological disorders ", "e")], single_select_flag=False,
instruction="Choose 1 or more answers from the list.")
question7 = GeoCodeField(name="What is the GPS code for clinic?", code="GPS",
label="What is the GPS code for clinic?",
instruction="Answer must be GPS coordinates in the following format (latitude,longitude). Example: -18.1324,27.6547")
question8 = SelectField(label="What are the required medicines?", code="RM", name="What are the required medicines?"
,
options=[("Hivid", "a"), ("Rétrovir", "b"), ("Vidéx EC", "c"), ("Epzicom", "d")],
single_select_flag=False,
instruction="Choose 1 or more answers from the list.", required=False)
return [question1, question2, question3, question4, question5, question6, question7, question8]
def create_project1(manager, questions, weekly_reminder_and_deadline):
questionnaire1 = Project(manager, name="clinic test project1",
form_code="cli001",
fields=questions, devices=["sms", "web", "smartPhone"], sender_group="close",
goals="This project is for automation"
)
questionnaire1.reminder_and_deadline = weekly_reminder_and_deadline
try:
qid = questionnaire1.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli001").delete()
qid = questionnaire1.save()
reminder = Reminder(project_id=questionnaire1.id, day=2, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="2 day(s) are remainning to deadline. Please send your data for clinic test project1.")
reminder.save()
# Create reminders for project1
reminder = Reminder(project_id=questionnaire1.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for clinic test project1.")
reminder.save()
reminder = Reminder(project_id=questionnaire1.id, day=2, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="2 days are overdue the deadline. Please send your data for clinic test project1.")
reminder.save()
# Associate datasenders/reporters with project 1
questionnaire1.data_senders.extend(["rep5", "rep6", "rep1", "rep8", "rep9", "rep3"])
questionnaire1.save()
def create_project2(manager, questions):
questionnaire2 = Project(manager, name="clinic2 test project",
form_code="cli002",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
questionnaire2.data_senders.extend(["rep5", "rep6", "rep1", "rep8", "rep9", "rep3"])
if questionnaire2.entity_questions:
questionnaire2.add_validator(UniqueIdExistsValidator)
try:
qid2 = questionnaire2.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli002").delete()
qid2 = questionnaire2.save()
def create_project3(manager, questions):
questionnaire3 = Project(manager, name="clinic3 test project",
form_code="cli003",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid3 = questionnaire3.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli003").delete()
qid3 = questionnaire3.save()
def create_project4(manager, questions):
questionnaire4 = Project(manager, name="Clinic4 Test Project",
form_code="cli004",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid4 = questionnaire4.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli004").delete()
qid4 = questionnaire4.save()
def create_project5(manager, questions):
questionnaire5 = Project(manager, name="clinic5 test project",
form_code="cli005",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid5 = questionnaire5.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli005").delete()
qid5 = questionnaire5.save()
def create_project6(manager, questions):
questionnaire6 = Project(manager, name="Clinic6 Test Project",
form_code="cli006",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid6 = questionnaire6.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli006").delete()
qid6 = questionnaire6.save()
def create_project7(manager, questions):
questionnaire7 = Project(manager, name="Clinic7 Test Project",
form_code="cli007",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid7 = questionnaire7.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli007").delete()
qid7 = questionnaire7.save()
def create_project11(manager, questions):
questionnaire11 = Project(manager, name="Clinic All DS (Following)",
form_code="cli011",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
weekly_reminder_and_deadline = {
"deadline_week": "5",
"deadline_type": "Following",
"has_deadline": True,
"frequency_period": "week",
"should_send_reminder_to_all_ds": True
}
questionnaire11.reminder_and_deadline = weekly_reminder_and_deadline
try:
qid11 = questionnaire11.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli011").delete()
qid11 = questionnaire11.save()
reminder = Reminder(project_id=questionnaire11.id, day=3, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="3 day(s) are remainning to deadline. Please send your data for Clinic All DS (Following).")
reminder.save()
# Create reminders for project11
reminder = Reminder(project_id=questionnaire11.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for Clinic All DS (Following).")
reminder.save()
reminder = Reminder(project_id=questionnaire11.id, day=3, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="3 days are overdue the deadline. Please send your data for Clinic All DS (Following).")
reminder.save()
# Associate datasenders/reporters with project 11
questionnaire11.data_senders.extend(["rep5", "rep6", "rep7"])
questionnaire11.save()
def create_project10(manager, questions):
questionnaire10 = Project(manager, name="Clinic DS W/O Submission (Following)",
form_code="cli010",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
weekly_reminder_and_deadline = {
"deadline_week": "5",
"deadline_type": "Following",
"has_deadline": True,
"frequency_period": "week",
"should_send_reminder_to_all_ds": False
}
questionnaire10.reminder_and_deadline = weekly_reminder_and_deadline
try:
qid10 = questionnaire10.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli010").delete()
qid10 = questionnaire10.save()
reminder = Reminder(project_id=questionnaire10.id, day=1, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="1 day is remainning to deadline. Please send your data for Clinic DS W/O Submission (Following).")
reminder.save()
# Create reminders for project10
reminder = Reminder(project_id=questionnaire10.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for Clinic10 Test Project.")
reminder.save()
reminder = Reminder(project_id=questionnaire10.id, day=1, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="1 day is overdue the deadline. Please send your data for Clinic DS W/O Submission (Following).")
reminder.save()
# Associate datasenders/reporters with project 1
questionnaire10.data_senders.extend(["rep5", "rep6", "rep7"])
questionnaire10.save()
def create_project9(manager, questions, weekly_reminder_and_deadline):
questionnaire9 = Project(manager, name="Clinic9 Reminder Test Project",
form_code="cli009",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
questionnaire9.reminder_and_deadline = weekly_reminder_and_deadline
try:
qid = questionnaire9.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli009").delete()
qid = questionnaire9.save()
# Create reminders for project2 and project 9
reminder = Reminder(project_id=questionnaire9.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Reminder test")
reminder.save()
# Associate datasenders/reporters with project 9
questionnaire9.data_senders.extend(["rep3", "rep4"])
questionnaire9.save()
def create_project8(manager, questions):
questionnaire8 = Project(manager, name="Clinic8 Test Project",
form_code="cli008",
fields=questions, goals="This project is for automation",
devices=["sms"], sender_group="close"
)
try:
qid8 = questionnaire8.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli008").delete()
qid8 = questionnaire8.save()
def create_project12(manager, questions):
questionnaire12 = Project(manager, name="Clinic DS W/O Submission (That)",
form_code="cli012",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
weekly_reminder_and_deadline = {
"deadline_week": "5",
"deadline_type": "Same",
"has_deadline": True,
"frequency_period": "week",
"should_send_reminder_to_all_ds": False
}
questionnaire12.reminder_and_deadline = weekly_reminder_and_deadline
try:
qid12 = questionnaire12.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli012").delete()
qid12 = questionnaire12.save()
# Create reminders for project12
reminder = Reminder(project_id=questionnaire12.id, day=4, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="4 day(s) are remainning to deadline. Please send your data for Clinic DS W/O Submission (That).")
reminder.save()
reminder = Reminder(project_id=questionnaire12.id, day=4, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="4 day(s) are overdue the deadline. Please send your data for Clinic DS W/O Submission (That).")
reminder.save()
# Create reminders for project12
reminder = Reminder(project_id=questionnaire12.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for Clinic DS W/O Submission (That).")
reminder.save()
# Associate datasenders/reporters with project 1
questionnaire12.data_senders.extend(["rep5", "rep6", "rep7"])
questionnaire12.save()
def create_project13(manager, questions):
questionnaire13 = Project(manager, name="clinic13 test project",
form_code="cli013",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
monthly_reminder_and_deadline = {
"deadline_month": "26",
"deadline_type": "Same",
"has_deadline": True,
"frequency_period": "month",
"should_send_reminder_to_all_ds": False
}
questionnaire13.reminder_and_deadline = monthly_reminder_and_deadline
try:
qid13 = questionnaire13.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli013").delete()
qid13 = questionnaire13.save()
# Create reminders for project13
reminder = Reminder(project_id=questionnaire13.id, day=15, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="15 days are remainning to deadline. Please send your data for Clinic DS W/O Monthly Submission (Same).")
reminder.save()
reminder = Reminder(project_id=questionnaire13.id, day=15, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="15 days are overdue the deadline. Please send your data for Clinic DS W/O Monthly Submission (Same).")
reminder.save()
# Create reminders for project13
reminder = Reminder(project_id=questionnaire13.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for Clinic DS W/O Monthly Submission (Same).")
reminder.save()
# Associate datasenders/reporters with project 1
questionnaire13.data_senders.extend(["rep5", "rep6", "rep7"])
questionnaire13.save()
def create_project14(manager, questions):
questionnaire14 = Project(manager, name="Clinic DS W/O Monthly Submission (following)",
form_code="cli014",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
monthly_reminder_and_deadline = {
"deadline_month": "26",
"deadline_type": "Following",
"has_deadline": True,
"frequency_period": "month",
"should_send_reminder_to_all_ds": False
}
questionnaire14.reminder_and_deadline = monthly_reminder_and_deadline
try:
qid14 = questionnaire14.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli014").delete()
qid14 = questionnaire14.save()
# Create reminders for project14
reminder = Reminder(project_id=questionnaire14.id, day=10, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="10 days are remainning to deadline. Please send your data for Clinic DS W/O Monthly Submission (following).")
reminder.save()
reminder = Reminder(project_id=questionnaire14.id, day=10, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="10 days are overdue the deadline. Please send your data for Clinic DS W/O Monthly Submission (following).")
reminder.save()
# Create reminders for project14
reminder = Reminder(project_id=questionnaire14.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for Clinic DS W/O Monthly Submission (following).")
reminder.save()
# Associate datasenders/reporters with project 1
questionnaire14.data_senders.extend(["rep5", "rep6", "rep7"])
questionnaire14.save()
def create_project15(manager, questions):
questionnaire15 = Project(manager, name="Clinic All DS Monthly Submission (following)",
form_code="cli015",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
monthly_reminder_and_deadline = {
"deadline_month": "26",
"deadline_type": "Following",
"has_deadline": True,
"frequency_period": "month",
"should_send_reminder_to_all_ds": True
}
questionnaire15.reminder_and_deadline = monthly_reminder_and_deadline
try:
qid15 = questionnaire15.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli015").delete()
qid15 = questionnaire15.save()
# Create reminders for project15
reminder = Reminder(project_id=questionnaire15.id, day=5, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="5 days are remainning to deadline. Please send your data for Clinic All DS Monthly Submission (following).")
reminder.save()
reminder = Reminder(project_id=questionnaire15.id, day=5, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="5 days are overdue the deadline. Please send your data for Clinic All DS Monthly Submission (following).")
reminder.save()
# Create reminders for project15
reminder = Reminder(project_id=questionnaire15.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for Clinic All DS Monthly Submission (following).")
reminder.save()
# Associate datasenders/reporters with project 1
questionnaire15.data_senders.extend(["rep5", "rep6", "rep7"])
questionnaire15.save()
def create_project16(manager, questions):
questionnaire16 = Project(manager, name="Clinic All DS Monthly Submission (that)",
form_code="cli016",
fields=questions, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
monthly_reminder_and_deadline = {
"deadline_month": "26",
"deadline_type": "Same",
"has_deadline": True,
"frequency_period": "month",
"should_send_reminder_to_all_ds": "True"
}
questionnaire16.reminder_and_deadline = monthly_reminder_and_deadline
try:
qid16 = questionnaire16.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli016").delete()
qid16 = questionnaire16.save()
# Create reminders for project16
reminder = Reminder(project_id=questionnaire16.id, day=2, reminder_mode=ReminderMode.BEFORE_DEADLINE,
organization_id='SLX364903',
message="2 days are remainning to deadline. Please send your data for Clinic All DS Monthly Submission (that).")
reminder.save()
reminder = Reminder(project_id=questionnaire16.id, day=2, reminder_mode=ReminderMode.AFTER_DEADLINE,
organization_id='SLX364903',
message="2 days are overdue the deadline. Please send your data for Clinic All DS Monthly Submission (that).")
reminder.save()
# Create reminders for project16
reminder = Reminder(project_id=questionnaire16.id, day=0, reminder_mode=ReminderMode.ON_DEADLINE,
organization_id='SLX364903',
message="Today is the deadline. Please send your data for Clinic All DS Monthly Submission (that).")
reminder.save()
# Associate datasenders/reporters with project 1
questionnaire16.data_senders.extend(["rep5", "rep6", "rep7"])
questionnaire16.save()
def create_project17(manager, questions_):
questionnaire17 = Project(manager, name="Clinic17 Test Project",
form_code="cli017",
fields=questions_, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid17 = questionnaire17.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli017").delete()
qid17 = questionnaire17.save()
def create_project18(manager, questions_):
questionnaire18 = Project(manager, name="Test data sorting",
form_code="cli018",
fields=questions_, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid18 = questionnaire18.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli018").delete()
qid18 = questionnaire18.save()
def create_project19(ENTITY_TYPE, manager):
questions_ = create_questions(ENTITY_TYPE)
questionnaire19 = Project(manager, name="Project having people as subject",
form_code="peo019",
fields=questions_, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid19 = questionnaire19.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "peo019").delete()
qid19 = questionnaire19.save()
def create_open_datasender_project(ENTITY_TYPE, manager):
questions_ = create_questions(ENTITY_TYPE)
project = Project(manager, name="Project which everyone can send in data",
form_code="open",
fields=questions_, goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
project.is_open_survey = True
try:
open_ds = project.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "open").delete()
open_ds = project.save()
def create_clinic_project_with_monthly_reporting_period(CLINIC_ENTITY_TYPE, manager):
clinic_code = "cli00_mp"
question1 = UniqueIdField(unique_id_type=CLINIC_ENTITY_TYPE[0], label="What is associatéd entity?", code="eid",
name="What is associatéd entity?",
instruction="Answer must be 12 characters maximum")
question2 = DateField(label="What is réporting date?", code="RD", name="What is réporting date?",
date_format="mm.yyyy",
instruction="Answer must be a date in the following format: day.month.year. Example: 25.12.2011")
questionnaire = Project(manager, name="clinic test project With Monthly Reporting Period",
form_code=clinic_code,
fields=[question1, question2], goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
try:
qid = questionnaire.save()
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, clinic_code).delete()
qid = questionnaire.save()
def create_clinic_projects(entity_type, manager):
organization = Organization.objects.get(pk='SLX364903')
Reminder.objects.filter(organization=organization).delete()
questions = create_questions(entity_type)
weekly_reminder_and_deadline = {
"deadline_week": "5",
"deadline_type": "Same",
"has_deadline": True,
"frequency_period": "week",
"should_send_reminder_to_all_ds": True
}
create_project1(manager, questions, weekly_reminder_and_deadline)
create_project2(manager, questions)
create_project3(manager, questions[:7])
create_project4(manager, questions[:7])
create_project5(manager, questions[:7])
create_project6(manager, questions[:7])
create_project7(manager, questions[:7])
create_project8(manager, questions[:7])
create_project9(manager, questions, weekly_reminder_and_deadline)
create_project10(manager, questions)
create_project11(manager, questions)
create_project12(manager, questions)
create_project13(manager, questions)
create_project14(manager, questions)
create_project15(manager, questions)
create_project16(manager, questions)
create_project17(manager, questions[:6])
questions_for_018 = questions[:]
questions_for_018.pop()
questions_for_018.pop(5)
questions_for_018.pop(2)
create_project18(manager, questions_for_018)
create_clinic_project_with_monthly_reporting_period(entity_type, manager)
def load_web_data_for_cli001(manager):
web_player = WebPlayerV2(manager)
text = {'form_code': 'cli001', 'EID': 'cid001', 'NA': 'Mr. Admin', 'FA': '58', 'RD': '28.02.2011', 'BG': 'c',
'SY': 'ade', 'GPS': '79.2,20.34567', 'RM': 'a'}
web_transport_info = TransportInfo(transport="web", source="tester150411@gmail.com", destination="")
web_player.add_survey_response(Request(message=text, transportInfo=web_transport_info), 'rep276')
def load_web_data_for_cli018(manager):
web_player = WebPlayerV2(manager)
web_transport_info = TransportInfo(transport="web", source="tester150411@gmail.com", destination="")
text = {'form_code': 'cli018', 'eid': 'cid001', 'NA': 'cat, dog', 'RD': '11.03.2010', 'BG': 'c', 'GPS': '12,14'}
web_player.add_survey_response(Request(message=text, transportInfo=web_transport_info), 'rep276')
text = {'form_code': 'cli018', 'eid': 'cid001', 'NA': '12, 34', 'RD': '20.02.2011', 'BG': 'd', 'GPS': '39,14'}
web_player.add_survey_response(Request(message=text, transportInfo=web_transport_info), 'rep276')
text = {'form_code': 'cli018', 'eid': 'cid001', 'NA': '-12, 34', 'RD': '25.12.2010', 'BG': 'a', 'GPS': '5.10,50.12'}
web_player.add_survey_response(Request(message=text, transportInfo=web_transport_info), 'rep276')
text = {'form_code': 'cli018', 'eid': 'cid001', 'NA': '20, 34', 'RD': '11.06.2012', 'BG': 'b', 'GPS': '21.16,14.3'}
web_player.add_survey_response(Request(message=text, transportInfo=web_transport_info), 'rep276')
def load_sms_data_for_cli018(manager):
JAN = datetime(2011, 01, 05, hour=12, minute=00, second=00, tzinfo=UTC)
FEB = datetime(2011, 02, 28, hour=12, minute=00, second=00, tzinfo=UTC)
MARCH = datetime(2011, 03, 11, tzinfo=UTC)
APR = datetime(2011, 04, 01, tzinfo=UTC)
DEC_2010 = datetime(2010, 12, 28, hour=00, minute=00, second=59, tzinfo=UTC)
NOV_2010 = datetime(2010, 11, 26, hour=23, minute=59, second=59, tzinfo=UTC)
sms_player = SMSPlayerV2(manager, [])
FROM_NUMBER = '1234567890'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
mangrove_request = Request("cli018 .eid cid001 .NA 12.2012 .RD 15.01.2011 .BG a .GPS 16.34,11.26", transport)
response = sms_player.add_survey_response(mangrove_request)
datetime_mocker = DateTimeMocker()
datetime_mocker.set_date_time_now(JAN)
mangrove_request = Request("cli018 .eid cid001 .NA 123 .RD 10.02.2012 .BG b .GPS 61.10,58.99", transport)
response = sms_player.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(FEB)
mangrove_request = Request("cli018 .eid cid001 .NA 456 .RD 25.12.2012 .BG d .GPS 65.24,28.45", transport)
response = sms_player.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(MARCH)
mangrove_request = Request("cli018 .eid cid003 .NA cat .RD 15.10.2011 .BG c .GPS 56.34,11.00", transport)
response = sms_player.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(APR)
mangrove_request = Request("cli018 .eid cid004 .NA 2012.01.14 .RD 25.06.2011 .BG d .GPS 16.34,11.76", transport)
response = sms_player.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(NOV_2010)
mangrove_request = Request("cli018 .eid cid005 .NA 2011.12.12 .RD 04.09.2010 .BG d .GPS 10.12,11.13", transport)
response = sms_player.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(DEC_2010)
mangrove_request = Request('cli018 .eid cid001 .NA 12.23.2011 .RD 25.01.2011 .BG a .GPS 11.23,17.66', transport)
response = sms_player.add_survey_response(mangrove_request)
def load_sms_data_for_cli001(manager):
FEB = datetime(2011, 02, 28, hour=12, minute=00, second=00, tzinfo=UTC)
MARCH = datetime(2011, 03, 01, tzinfo=UTC)
DEC_2010 = datetime(2010, 12, 28, hour=00, minute=00, second=59, tzinfo=UTC)
NOV_2010 = datetime(2010, 11, 26, hour=23, minute=59, second=59, tzinfo=UTC)
today = datetime.utcnow()
LAST_WEEK = today - timedelta(days=7)
THIS_MONTH = today
PREV_MONTH = THIS_MONTH + relativedelta(months=-1)
sms_player = SMSPlayer(manager, LocationBridge(get_location_tree(), get_loc_hierarchy=get_location_hierarchy))
FROM_NUMBER = '1234567890'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
mangrove_request = Request("cli .q1 Clinic .q2 Analalava .q3 Analalava .q4 -14.6333,47.7667 .q5 987654321",
transport)
sms_player.accept(mangrove_request)
mangrove_request = Request("cli .q1 Clinic .q2 Andapa .q3 Andapa .q4 -14.65,49.6167 .q5 87654322", transport)
sms_player.accept(mangrove_request)
mangrove_request = Request("cli .q1 Clinic .q2 Antalaha .q3 Antalaha .q4 -14.8833,50.25 .q5 87654323", transport)
sms_player.accept(mangrove_request)
mangrove_request = Request("cli .q1 Clinic .q2 ANALAMANGA .q3 ANALAMANGA .q4 -18.8,47.4833 .q5 87654324", transport)
response = sms_player.accept(mangrove_request)
mangrove_request = Request(
"cli .q1 Clinic .q2 TSIMANARIRAZANA .q3 TSIMANARIRAZANA .q4 -12.35,49.3 .q5 87654325", transport)
response = sms_player.accept(mangrove_request)
mangrove_request = Request(
"cli .q1 Clinic .q2 Antsirabe .q3 Antsirabe .q4 -19.8167,47.0667 .q5 87654326", transport)
response = sms_player.accept(mangrove_request)
mangrove_request = Request(
"cli .q1 Clinic .q2 Besalampy .q3 Besalampy .q4 -16.75,44.5 .q5 87654327", transport)
response = sms_player.accept(mangrove_request)
mangrove_request = Request(
"cli .q1 Clinic .q2 Farafangana .q3 Farafangana .q4 -22.8,47.8333 .q5 87654328", transport)
response = sms_player.accept(mangrove_request)
mangrove_request = Request(
"cli .q1 Clinic .q2 Fianarantsoa-I .q3 Fianarantsoa-I .q4 -21.45,47.1 .q5 87654329", transport)
response = sms_player.accept(mangrove_request)
mangrove_request = Request(
"cli .q1 Clinic .q2 Sainte-Marie .q3 Sainte-Marie .q4 -17.0833,49.8167 .q5 87654330", transport)
response = sms_player.accept(mangrove_request)
mangrove_request = Request(
"cli .q1 Clinic .q2 Mahajanga .q3 Mahajanga .q4 -15.6667,46.35 .q5 87654331", transport)
response = sms_player.accept(mangrove_request)
datetime_mocker = DateTimeMocker()
datetime_mocker.set_date_time_now(FEB)
# Total number of identical records = 3
sms_player_v2 = SMSPlayerV2(manager, [])
mangrove_request = Request(
"cli001 .eid cid001 .NA Mr. Tessy .FA 58 .RD 28.02.2011 .BG c .SY ade .GPS 79.2,20.34567 .RM a", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid002 .NA Mr. Adam .FA 62 .RD 15.02.2011 .BG a .SY ab .GPS 74.2678,23.3567 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid003 .NA Ms. Beth .FA 75 .RD 09.02.2011 .BG b .SY bc .GPS 18.245,29.3123 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(MARCH)
# Total number of identical records = 4
mangrove_request = Request(
"cli001 .eid cid004 .NA Jannita .FA 90 .RD 07.03.2011 .BG b .SY bbe .GPS 45.233,28.3324 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid005 .NA Aanda .FA 58 .RD 12.03.2011 .BG c .SY bd .GPS 40.2,69.3123 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
'cli001 .eid cid001 .NA Ianda (",) .FA 34 .RD 27.03.2011 .BG d .SY be .GPS 38.3452,15.3345 .RM b', transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid001 .NA ànita .FA 45 .RD 07.03.2011 .BG b .SY bbe .GPS 45.233,28.3324 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid004 .NA Amanda .FA 81 .RD 12.03.2011 .BG c .SY bd .GPS 40.2,69.3123 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
'cli001 .eid cid005 .NA Vanda (",) .FA 34 .RD 27.03.2011 .BG d .SY be .GPS 38.3452,15.3345 .RM b', transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid003 .NA ànnita .FA 80 .RD 07.03.2011 .BG b .SY bbe .GPS 45.233,28.3324 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid002 .NA Amanda .FA 69 .RD 12.03.2011 .BG c .SY bd .GPS 40.2,69.3123 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
'cli001 .eid cid004 .NA Panda (",) .FA 34 .RD 27.03.2011 .BG d .SY be .GPS 38.3452,15.3345 .RM b', transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid005 .NA ànnita .FA 50 .RD 07.03.2011 .BG b .SY bbe .GPS 45.233,28.3324 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid003 .NA Jimanda .FA 86 .RD 12.03.2011 .BG c .SY bd .GPS 40.2,69.3123 .RM ac", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
'cli001 .eid cli10 .NA Kanda (",) .FA 64 .RD 27.03.2011 .BG d .SY be .GPS 38.3452,15.3345 .RM b', transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid004 .NA ànnita .FA 30 .RD 07.03.2011 .BG b .SY bbe .GPS 45.233,28.3324 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid005 .NA Qamanda .FA 47 .RD 12.03.2011 .BG c .SY bd .GPS 40.2,69.3123 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
'cli001 .eid cid001 .NA Huanda (*_*) .FA 74 .RD 27.03.2011 .BG d .SY be .GPS 38.3452,15.3345 .RM b', transport)
response = sms_player_v2.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(DEC_2010)
# Total number of identical records = 4
mangrove_request = Request(
"cli001 .eid cli12 .NA Jugal .FA 47 .RD 15.12.2010 .BG d .SY ace .GPS -58.3452,19.3345 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli11 .NA De'melo .FA 38 .RD 27.12.2010 .BG c .SY ba .GPS 81.672,92.33456 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli13 .NA Dono`mova .FA 24 .RD 06.12.2010 .BG b .SY cd .GPS 65.23452,-28.3456 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli15 .NA Aàntra .FA 89 .RD 11.12.2010 .BG a .SY bd .GPS 45.234,89.32345 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(NOV_2010)
# Total number of identical records = 3
mangrove_request = Request(
"cli001 .eid cli12 .NA ànnita .FA 90 .RD 07.11.2010 .BG b .SY bbe .GPS 45.233,28.3324 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli14 .NA Amanda .FA 67 .RD 12.11.2010 .BG c .SY bd .GPS 40.2,69.3123 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
'cli001 .eid cli8 .NA Kanda (",) .FA 34 .RD 27.11.2010 .BG d .SY be .GPS 38.3452,15.3345 .RM b', transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli9 .NA ànnita .FA 90 .RD 17.11.2010 .BG b .SY bbe .GPS 45.233,28.3324 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cid007 .NA Amanda .FA 73 .RD 12.11.2010 .BG c .SY bd .GPS 40.2,69.3123 .RM b", transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
'cli001 .eid cli8 .NA Kanda (",) .FA 34 .RD 27.11.2010 .BG d .SY be .GPS 38.3452,15.3345 .RM b', transport)
response = sms_player_v2.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(PREV_MONTH)
month = today.month - 1
year = today.year
if not (month):
month = 12
year = today.year - 1
Last_month_date = "12." + str(month) + "." + str(year)
# Total number of identical records = 4
mangrove_request = Request(
"cli001 .eid cli9 .NA Demelo .FA 38 .RD " + Last_month_date + " .BG c .SY ba .GPS 19.672,92.33456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli10 .NA Zorro .FA 48 .RD " + Last_month_date + " .BG b .SY cd .GPS 23.23452,-28.3456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli11 .NA Aàntra .FA 98 .RD " + Last_month_date + " .BG a .SY cb .GPS -45.234,89.32345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli12 .NA ànnita .FA 37 .RD " + Last_month_date + " .BG d .SY cbe .GPS -78.233,-28.3324 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli9 .NA Demelo .FA 38 .RD " + Last_month_date + " .BG c .SY ba .GPS 19.672,92.33456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli10 .NA Zorro .FA 48 .RD " + Last_month_date + " .BG b .SY cd .GPS 23.23452,-28.3456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli11 .NA Aàntra .FA 95 .RD " + Last_month_date + " .BG a .SY cb .GPS -45.234,89.32345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli12 .NA ànnita .FA 35 .RD " + Last_month_date + " .BG d .SY cbe .GPS -78.233,-28.3324 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli9 .NA Demelo .FA 32 .RD " + Last_month_date + " .BG c .SY ba .GPS 19.672,92.33456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli10 .NA Zorro .FA 43 .RD " + Last_month_date + " .BG b .SY cd .GPS 23.23452,-28.3456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli11 .NA Aàntra .FA 91 .RD " + Last_month_date + " .BG a .SY be .GPS -45.234,89.32345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli12 .NA ànnita .FA 45 .RD " + Last_month_date + " .BG d .SY cbe .GPS -78.233,-28.3324 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
datetime_mocker.set_date_time_now(THIS_MONTH)
current_month_date = "01." + str(today.month) + "." + str(today.year)
# Total number of identical records = 4
mangrove_request = Request(
"cli001 .eid cli13 .NA Dmanda .FA 69 .RD " + current_month_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli14 .NA Vamand .FA 36 .RD " + current_month_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli15 .NA M!lo .FA 88 .RD " + current_month_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli16 .NA K!llo .FA 88 .RD " + current_month_date + " .BG a .SY ac .GPS 19.672,92.33456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli13 .NA Dmanda .FA 89 .RD " + current_month_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli14 .NA Vamand .FA 56 .RD " + current_month_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli15 .NA M!lo .FA 45 .RD " + current_month_date + " .BG c .SY ca .GPS 19.672,92.33456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli16 .NA K!llo .FA 28 .RD " + current_month_date + " .BG b .SY ae .GPS 19.672,92.33456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
datetime_mocker.end_mock()
today_date = str(today.day) + "." + str(today.month) + "." + str(today.year)
# Total number of identical records = 3
mangrove_request = Request(
"cli001 .eid cli17 .NA Catty .FA 78 .RD " + today_date + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli18 .NA àntra .FA 28 .RD " + today_date + " .BG a .SY adb .GPS -45.234,169.32345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli9 .NA Tinnita .RD " + today_date + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli17 .NA Catty .FA 98 .RD " + today_date + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli18 .NA àntra .FA 58 .RD " + today_date + " .BG a .SY adb .GPS -45.234,169.32345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli001 .eid cli9 .NA Tinnita .RD " + today_date + " .FA 27 .BG d .SY ace .GPS -78.233,-28.3324 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
FROM_NUMBER = '919970059125'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
datetime_mocker2 = DateTimeMocker()
datetime_mocker2.set_date_time_now(LAST_WEEK)
last_week_date = str(LAST_WEEK.day) + "." + str(LAST_WEEK.month) + "." + str(LAST_WEEK.year)
# Total number of identical records = 4
mangrove_request = Request(
"cli010 .eid cli13 .NA Dmanda .FA 69 .RD " + last_week_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli010 .eid cli14 .NA Vamand .FA 36 .RD " + last_week_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli010 .eid cli15 .NA M!lo .FA 88 .RD " + last_week_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 4
mangrove_request = Request(
"cli012 .eid cli13 .NA Dmanda .FA 69 .RD " + last_week_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli012 .eid cli14 .NA Vamand .FA 36 .RD " + last_week_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli012 .eid cli15 .NA M!lo .FA 88 .RD " + last_week_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 4
mangrove_request = Request(
"cli011 .eid cli13 .NA Dmanda .FA 69 .RD " + last_week_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli011 .eid cli14 .NA Vamand .FA 36 .RD " + last_week_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli011 .eid cli15 .NA M!lo .FA 88 .RD " + last_week_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
FROM_NUMBER = '919970059125'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
datetime_mocker2.set_date_time_now(PREV_MONTH)
last_week_date = str(PREV_MONTH.day) + "." + str(PREV_MONTH.month) + "." + str(PREV_MONTH.year)
# Total number of identical records = 3
mangrove_request = Request(
"cli013 .eid cli13 .NA Dmanda .FA 69 .RD " + last_week_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli013 .eid cli14 .NA Vamand .FA 36 .RD " + last_week_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli013 .eid cli15 .NA M!lo .FA 88 .RD " + last_week_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli015 .eid cli13 .NA Dmanda .FA 69 .RD " + last_week_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli015 .eid cli14 .NA Vamand .FA 36 .RD " + last_week_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli015 .eid cli15 .NA M!lo .FA 88 .RD " + last_week_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli014 .eid cli13 .NA Dmanda .FA 69 .RD " + last_week_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli014 .eid cli14 .NA Vamand .FA 36 .RD " + last_week_date + " .BG a .SY ace .GPS 58.3452,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli014 .eid cli15 .NA M!lo .FA 88 .RD " + last_week_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli016 .eid cli13 .NA Dmanda .FA 69 .RD " + last_week_date + " .BG c .SY ce .GPS 40.2,69.3123 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli016 .eid cli14 .NA Vamand .FA 36 .RD " + last_week_date + " .BG a .SY ace .GPS 58.345,115.3345 .RM b",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli016 .eid cli15 .NA M!lo .FA 88 .RD " + last_week_date + " .BG b .SY ba .GPS 19.672,92.33456 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
FROM_NUMBER = '917798987102'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
datetime_mocker2.set_date_time_now(THIS_MONTH)
this_month = str(THIS_MONTH.day) + "." + str(THIS_MONTH.month) + "." + str(THIS_MONTH.year)
# Total number of identical records = 3
mangrove_request = Request(
"cli013 .eid cli16 .NA Catty .FA 78 .RD " + this_month + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli013 .eid cli17 .NA àntra .FA 28 .RD " + this_month + " .BG a .SY adb .GPS -45.234,169.32345 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli013 .eid cli18 .NA Tinnita .RD " + this_month + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM d",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli014 .eid cli16 .NA Catty .FA 78 .RD " + this_month + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli014 .eid cli17 .NA àntra .FA 28 .RD " + this_month + " .BG a .SY adb .GPS -45.234,169.32345 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli014 .eid cli18 .NA Tinnita .RD " + this_month + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM d",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli015 .eid cli16 .NA Catty .FA 78 .RD " + this_month + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli015 .eid cli17 .NA àntra .FA 28 .RD " + this_month + " .BG a .SY adb .GPS -45.234,169.32345 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli015 .eid cli18 .NA Tinnita .RD " + this_month + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM d",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli016 .eid cli16 .NA Catty .FA 78 .RD " + this_month + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli016 .eid cli17 .NA àntra .FA 28 .RD " + this_month + " .BG a .SY adb .GPS -45.234,169.32345 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli016 .eid cli18 .NA Tinnita .RD " + this_month + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM d",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
datetime_mocker2.end_mock()
FROM_NUMBER = '917798987102'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
today_date = str(today.day) + "." + str(today.month) + "." + str(today.year)
# Total number of identical records = 3
mangrove_request = Request(
"cli010 .eid cli16 .NA Catty .FA 78 .RD " + today_date + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli010 .eid cli17 .NA àntra .FA 28 .RD " + today_date + " .BG a .SY adb .GPS -45.234,169.32345 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli010 .eid cli18 .NA Tinnita .RD " + today_date + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM d",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli011 .eid cli16 .NA Catty .FA 78 .RD " + today_date + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli011 .eid cli17 .NA àntra .FA 28 .RD " + today_date + " .BG a .SY adb .GPS -45.234,169.32345 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli011 .eid cli18 .NA Tinnita .RD " + today_date + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM d",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
# Total number of identical records = 3
mangrove_request = Request(
"cli012 .eid cli16 .NA Catty .FA 78 .RD " + today_date + " .BG b .SY dce .GPS 33.23452,-68.3456 .RM a",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli012 .eid cli17 .NA àntra .FA 28 .RD " + today_date + " .BG a .SY adb .GPS -45.234,169.32345 .RM c",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
mangrove_request = Request(
"cli012 .eid cli18 .NA Tinnita .RD " + today_date + " .FA 37 .BG d .SY ace .GPS -78.233,-28.3324 .RM d",
transport)
response = sms_player_v2.add_survey_response(mangrove_request)
#for open datasender questionnaire
FROM_NUMBER = '1234567899'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
mangrove_request = Request("open wp03 rakoto 45 12.12.2013 c d 12,34 d",
transport)
sms_player_v2.add_survey_response(mangrove_request)
def create_clinic_project_for_trial_account(CLINIC_ENTITY_TYPE, manager, trial_org_pk, register_a_datasender):
organization = Organization.objects.get(pk=trial_org_pk)
question1 = UniqueIdField(unique_id_type=CLINIC_ENTITY_TYPE[0], label="What is associatéd entity?", code="eid",
name="What is associatéd entity?",
instruction="Answer must be 12 characters maximum")
question2 = TextField(label="Name", code="NA", name="What is your namé?",
constraints=[TextLengthConstraint(min=1, max=10)],
defaultValue="some default value",
instruction="Answer must be a word or phrase 10 characters maximum")
question3 = IntegerField(label="Father age", code="FA", name="What is age öf father?",
constraints=[NumericRangeConstraint(min=18, max=100)],
instruction="Answer must be a number between 18-100.")
question4 = DateField(label="Report date", code="RD", name="What is réporting date?",
date_format="dd.mm.yyyy",
instruction="Answer must be a date in the following format: day.month.year. Example: 25.12.2011")
question5 = SelectField(label="What is your blood group?", code="BG", name="What is your blood group?",
options=[("O+", "a"), ("O-", "b"), ("AB", "c"), ("B+", "d")], single_select_flag=True,
instruction="Choose 1 answer from the list.")
question6 = SelectField(label="Symptoms", code="SY", name="What aré symptoms?",
options=[("Rapid weight loss", "a"), ("Dry cough", "b"), ("Pneumonia", "c"),
("Memory loss", "d"), ("Neurological disorders ", "e")], single_select_flag=False,
instruction="Choose 1 or more answers from the list.")
question7 = GeoCodeField(name="What is the GPS codé for clinic", code="GPS",
label="What is the GPS code for clinic?",
instruction="Answer must be GPS coordinates in the following format (latitude,longitude). Example: -18.1324,27.6547")
question8 = SelectField(label="Required Medicines", code="RM", name="What are the required medicines?",
options=[("Hivid", "a"), ("Rétrovir", "b"), ("Vidéx EC", "c"), ("Epzicom", "d")],
single_select_flag=False,
instruction="Choose 1 or more answers from the list.", required=False)
questionnaire = Project(manager, name="clinic test project",
form_code="cli051",
fields=[question1, question2, question3, question4, question5, question6, question7,
question8], goals="This project is for automation",
devices=["sms", "web", "smartPhone"], sender_group="close"
)
weekly_reminder_and_deadline = {
"deadline_week": "5",
"deadline_type": "Same",
"has_deadline": True,
"frequency_period": "week",
"should_send_reminder_to_all_ds": True
}
try:
qid = questionnaire.save(process_post_update=False)
except DataObjectAlreadyExists as e:
get_form_model_by_code(manager, "cli051").delete()
qid = questionnaire.save(process_post_update=False)
Reminder.objects.filter(project_id=questionnaire.id).delete()
questionnaire.reminder_and_deadline = weekly_reminder_and_deadline
if (register_a_datasender):
questionnaire.data_senders.extend(["rep1"])
questionnaire.save()
return questionnaire
def send_data_to_project_cli00_mp(manager):
sms_player = SMSPlayerV2(manager, [])
FROM_NUMBER = '1234567890'
TO_NUMBER = '919880734937'
transport = TransportInfo(SMS, FROM_NUMBER, TO_NUMBER)
month = datetime.today().month
year = datetime.today().year
sms_player.add_survey_response(Request("cli00_mp cid001 %s.%s" % (month, year), transport))
sms_player.add_survey_response(Request("cli00_mp cid001 %s.%s" % (month, year - 1), transport))
sms_player.add_survey_response(Request("cli00_mp cid001 01.%s" % year, transport))
sms_player.add_survey_response(Request("cli00_mp cid001 %s.%s" % (month, year), transport))
tester_transport = TransportInfo(SMS, TEST_REPORTER_MOBILE_NUMBER, TO_NUMBER)
sms_player.add_survey_response(Request("cli00_mp cid001 %s.%s" % (month, year), tester_transport))
def load_ft_data():
call_command("loaddata", "test_data.json")
def load_data():
manager = load_manager_for_default_ut_account()
initializer.run(manager)
CLINIC_ENTITY_TYPE = [u"clinic"]
WATER_POINT_ENTITY_TYPE = [u"waterpoint"]
PEOPLE_ENTITY_TYPE = [u"people"]
create_entity_types(manager, [CLINIC_ENTITY_TYPE, WATER_POINT_ENTITY_TYPE, PEOPLE_ENTITY_TYPE])
load_clinic_entities(CLINIC_ENTITY_TYPE, manager)
load_waterpoint_entities(WATER_POINT_ENTITY_TYPE, manager)
create_clinic_projects(CLINIC_ENTITY_TYPE, manager)
create_project19(PEOPLE_ENTITY_TYPE, manager)
create_open_datasender_project(WATER_POINT_ENTITY_TYPE, manager)
#Register Reporters
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "1234567890"),
(NAME_FIELD, "Shweta")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep1", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "261332592634"),
(NAME_FIELD, "David")],
location=[u'Madagascar', u'Haute matsiatra', u'Ambohimahasoa', u'Camp Robin'],
short_code="rep2", geometry={"type": "Point", "coordinates": [-20.9027586764, 47.165034158]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "1234567891"),
(NAME_FIELD, "Shilpa")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep3", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "1234567892"),
(NAME_FIELD, "Asif")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep4", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "919970059125"),
(NAME_FIELD, "Ritesh")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep5", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "917798987116"),
(NAME_FIELD, "RiteshY")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep6", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "917798987102"),
(NAME_FIELD, "AkshaY")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep7", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "919049008976"),
(NAME_FIELD, "Ashwini")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep8", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "2619876"),
(NAME_FIELD, "stefan")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep10", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "2619875"),
(NAME_FIELD, "mamy")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep11", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "1234123413"),
(NAME_FIELD, "Tester Pune")],
location=[u'Bangalore', u'Karnatka', u'India', u'Asia'],
short_code="rep276", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
register(manager, entity_type=REPORTER_ENTITY_TYPE, data=[(MOBILE_NUMBER_FIELD, "37287364782"),
(NAME_FIELD, "Datasender test")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep13", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
load_sms_data_for_cli001(manager)
load_web_data_for_cli001(manager)
send_data_to_project_cli00_mp(manager)
load_web_data_for_cli018(manager)
load_sms_data_for_cli018(manager)
create_trial_organization('chinatwu@gmail.com', 'COJ00000', False)
create_trial_organization('chinatwu2@gmail.com', 'COJ00001', True)
create_trial_organization('chinatwu3@gmail.com', 'COJ00002', False)
create_trial_organization('chinatwu4@gmail.com', 'COJ00003', False)
register_datasender_for_org("mamytest@mailinator.com","Shweta","1234567890",
[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],"rep1",
{"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
#create_trial_organization('mamytest@mailinator.com', 'SLX364903', True)
manager = get_database_manager(User.objects.get(username="samuel@mailinator.com"))
initializer.run(manager)
create_project_for_nigeria_test_orgnization()
create_datasender_for_nigeria_test_organization()
create_trial_organization('quotareached@mailinator.com', 'YDC120930', False)
register_datasender_for_quota_reached_ngo()
create_clinic3_project_for_quota_reached_ngo()
create_questionnaire_templates()
call_command("recreate_search_indexes", "hni_testorg_slx364903")
call_command("recreate_search_indexes", "hni_testorg_coj00001")
def create_datasender_for_nigeria_test_organization():
register_datasender_for_org("samuel@mailinator.com","Rasefo","26112345",
[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],"rep1",
{"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
def create_trial_organization(email, org_id, register_a_data_sender):
manager = get_database_manager(User.objects.get(username=email))
initializer.run(manager)
CLINIC_ENTITY_TYPE = [u"clinic"]
WATER_POINT_ENTITY_TYPE = [u"waterpoint"]
create_entity_types(manager, [CLINIC_ENTITY_TYPE, WATER_POINT_ENTITY_TYPE])
load_clinic_entities(CLINIC_ENTITY_TYPE, manager)
load_waterpoint_entities(WATER_POINT_ENTITY_TYPE, manager)
if (register_a_data_sender):
register(manager, entity_type=REPORTER_ENTITY_TYPE,
data=[(MOBILE_NUMBER_FIELD, "1234567890"),
(NAME_FIELD, "Shweta")],
location=[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],
short_code="rep1", geometry={"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
create_clinic_project_for_trial_account(CLINIC_ENTITY_TYPE, manager, org_id, register_a_data_sender)
return manager
def load_test_managers():
return [get_database_manager(User.objects.get(username=email)) for email in TEST_EMAILS]
def load_all_managers():
managers = []
for org in OrganizationSetting.objects.all():
manager = get_db_manager(org.document_store)
managers.append(manager)
return managers
def load_all_feed_managers():
managers = []
for org in OrganizationSetting.objects.all():
manager = get_db_manager('feed_' + org.document_store)
managers.append(manager)
return managers
def load_test_feed_managers():
return [get_feeds_database(User.objects.get(username=email)) for email in TEST_EMAILS]
def create_project_for_nigeria_test_orgnization():
manager = get_database_manager(User.objects.get(username="gerard@mailinator.com"))
initializer.run(manager)
CLINIC_ENTITY_TYPE = [u"clinic"]
create_entity_types(manager, [CLINIC_ENTITY_TYPE])
questions = create_questions(CLINIC_ENTITY_TYPE)
weekly_reminder_and_deadline = {
"deadline_week": "5",
"deadline_type": "Same",
"has_deadline": True,
"frequency_period": "week",
"should_send_reminder_to_all_ds": True
}
create_project1(manager, questions, weekly_reminder_and_deadline)
def register_datasender_for_quota_reached_ngo():
register_datasender_for_org("quotareached@mailinator.com","Datasender Quota Reached","261123456",
[u'Madagascar', u'Menabe', u'Mahabo', u'Beronono'],"rep1",{"type": "Point", "coordinates": [-21.0399440737, 45.2363669927]})
def create_clinic3_project_for_quota_reached_ngo():
manager = get_database_manager(User.objects.get(username="quotareached@mailinator.com"))
questions = create_questions([u"clinic"])
create_project3(manager, questions)
def register_datasender_for_org(email,name,mobile_number,location,short_code,gps):
manager = get_database_manager(User.objects.get(username=email))
register(manager, entity_type=REPORTER_ENTITY_TYPE,
data=[(MOBILE_NUMBER_FIELD, mobile_number),
(NAME_FIELD, name)],
location=location,
short_code=short_code, geometry=gps)
| 53.289063 | 156 | 0.652776 | 10,072 | 81,852 | 5.099682 | 0.080222 | 0.067168 | 0.049256 | 0.056187 | 0.783389 | 0.768865 | 0.743147 | 0.719453 | 0.686064 | 0.667978 | 0 | 0.077824 | 0.235327 | 81,852 | 1,535 | 157 | 53.323779 | 0.742818 | 0.02237 | 0 | 0.546556 | 0 | 0.052233 | 0.259603 | 0.008591 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.00757 | 0.020439 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
f58330963f3195493dba09aab0b849d2915f430b | 2,434 | py | Python | test/test_responsehandling.py | dev-89/semantically | 2df985f08d464e25ba4de25caadcaf47b62626f0 | [
"Apache-2.0"
] | null | null | null | test/test_responsehandling.py | dev-89/semantically | 2df985f08d464e25ba4de25caadcaf47b62626f0 | [
"Apache-2.0"
] | null | null | null | test/test_responsehandling.py | dev-89/semantically | 2df985f08d464e25ba4de25caadcaf47b62626f0 | [
"Apache-2.0"
] | null | null | null | """Here are all tests, which test how semantically handles Semantic Scholar responses"""
import pytest
import responses
from semantically import config, semantically
MISSING_AUTHOR_JSON = {
"total": 4968079,
"offset": 10,
"next": 11,
"data": [
{
"paperId": "aa3164f83e934896cdea31bf453b6bf97cda6fa3",
"title": "Knowledge Graph Embedding for Link Prediction: A Comparative Analysis",
"authors": [],
}
],
}
MISSING_DATA_JSON = {
"total": 0,
"offset": 0,
"next": 0,
"data": [],
}
NO_DATA_JSON = {}
@responses.activate
def test_missing_all_data():
responses.add(
responses.GET,
f"{config.SEMANTIC_SCHOLAR_URL}{config.API_PREFIX}paper/search?fields=paperId%2CexternalIds%2Curl%2Ctitle%2Cabstract%2Cvenue%2Cyear%2CreferenceCount%2CcitationCount%2CisOpenAccess%2CfieldsOfStudy%2Cauthors&offset=0&limit=100&query=random-id",
json=NO_DATA_JSON,
status=200,
)
tester = semantically.Semantically()
with pytest.raises(semantically.exceptions.NoResultError):
resp = tester.get_paper_by_title("random-id")
@responses.activate
def test_missing_data():
responses.add(
responses.GET,
f"{config.SEMANTIC_SCHOLAR_URL}{config.API_PREFIX}paper/search?fields=paperId%2CexternalIds%2Curl%2Ctitle%2Cabstract%2Cvenue%2Cyear%2CreferenceCount%2CcitationCount%2CisOpenAccess%2CfieldsOfStudy%2Cauthors&offset=0&limit=100&query=random-id",
json=MISSING_DATA_JSON,
status=200,
)
tester = semantically.Semantically()
with pytest.raises(semantically.exceptions.NoResultError):
resp = tester.get_paper_by_title("random-id")
@responses.activate
def test_missing_return_data():
responses.add(
responses.GET,
f"{config.SEMANTIC_SCHOLAR_URL}{config.API_PREFIX}paper/search?fields=paperId%2CexternalIds%2Curl%2Ctitle%2Cabstract%2Cvenue%2Cyear%2CreferenceCount%2CcitationCount%2CisOpenAccess%2CfieldsOfStudy%2Cauthors&offset=0&limit=100&query=Knowledge+Graph+Embedding+for+Link+Prediction:+A+Comparative+Analysis",
json=MISSING_AUTHOR_JSON,
status=200,
)
tester = semantically.Semantically()
resp = tester.get_paper_by_title(
"Knowledge Graph Embedding for Link Prediction: A Comparative Analysis"
)
assert resp.paperId == "aa3164f83e934896cdea31bf453b6bf97cda6fa3"
assert resp.authors == []
| 32.891892 | 310 | 0.719392 | 263 | 2,434 | 6.513308 | 0.30038 | 0.035026 | 0.04028 | 0.045534 | 0.769994 | 0.751897 | 0.71512 | 0.71512 | 0.71512 | 0.680093 | 0 | 0.055446 | 0.17009 | 2,434 | 73 | 311 | 33.342466 | 0.792574 | 0.033689 | 0 | 0.362069 | 0 | 0.051724 | 0.454817 | 0.364024 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.051724 | false | 0 | 0.051724 | 0 | 0.103448 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
f5a5e4ef96883090045b1cfc4b1c02b144cdf566 | 100 | py | Python | arcproject/waterquality/__init__.py | ucd-cws/arcproject-wq-processing | 8bc4df31420f1a37f66e40f1867bf4082c4871c0 | [
"MIT"
] | 2 | 2018-07-11T19:45:59.000Z | 2018-07-11T19:47:00.000Z | arcproject/waterquality/__init__.py | ucd-cws/arcproject-wq-processing | 8bc4df31420f1a37f66e40f1867bf4082c4871c0 | [
"MIT"
] | 55 | 2016-08-09T00:35:22.000Z | 2017-04-22T05:21:22.000Z | arcproject/waterquality/__init__.py | ucd-cws/arcproject-wq-processing | 8bc4df31420f1a37f66e40f1867bf4082c4871c0 | [
"MIT"
] | 1 | 2021-11-12T20:22:44.000Z | 2021-11-12T20:22:44.000Z | from . import classes
from . import api
from . import utils
__all__ = ["api", "classes", "utils"]
| 14.285714 | 37 | 0.67 | 13 | 100 | 4.846154 | 0.461538 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19 | 100 | 6 | 38 | 16.666667 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
193e12ab8f7c2d1159ed81c9b6c28d76a0c56aa9 | 239 | py | Python | filestore/api.py | licode/filestore | aba593f60942ce917defa922048953eddb8d25a4 | [
"BSD-3-Clause"
] | null | null | null | filestore/api.py | licode/filestore | aba593f60942ce917defa922048953eddb8d25a4 | [
"BSD-3-Clause"
] | null | null | null | filestore/api.py | licode/filestore | aba593f60942ce917defa922048953eddb8d25a4 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, division, print_function
from .commands import (insert_resource, insert_datum, retrieve, db_connect,
db_disconnect)
from .retrieve import register_handler, deregister_handler
| 39.833333 | 75 | 0.774059 | 27 | 239 | 6.407407 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179916 | 239 | 5 | 76 | 47.8 | 0.882653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.75 | 0 | 0.75 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
19415974c812a033cb4a61adc4085a1026eb7f7d | 19 | py | Python | example_project/some_modules/third_modules/a6.py | Yuriy-Leonov/cython_imports_limit_issue | 2f9e7c02798fb52185dabfe6ce3811c439ca2839 | [
"MIT"
] | null | null | null | example_project/some_modules/third_modules/a6.py | Yuriy-Leonov/cython_imports_limit_issue | 2f9e7c02798fb52185dabfe6ce3811c439ca2839 | [
"MIT"
] | null | null | null | example_project/some_modules/third_modules/a6.py | Yuriy-Leonov/cython_imports_limit_issue | 2f9e7c02798fb52185dabfe6ce3811c439ca2839 | [
"MIT"
] | null | null | null | class A6:
pass
| 6.333333 | 9 | 0.578947 | 3 | 19 | 3.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0.368421 | 19 | 2 | 10 | 9.5 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
195f7131d107e87d5c8825e529424e4e393b9990 | 159 | py | Python | blog/libs/__init__.py | chiqj/MrChiBlog | cd8c0145628e2c6166fe713efdf59a846d10dc47 | [
"MIT"
] | 7 | 2018-07-18T14:45:31.000Z | 2019-04-20T12:43:13.000Z | blog/libs/__init__.py | chiqj/MrChiBlog | cd8c0145628e2c6166fe713efdf59a846d10dc47 | [
"MIT"
] | null | null | null | blog/libs/__init__.py | chiqj/MrChiBlog | cd8c0145628e2c6166fe713efdf59a846d10dc47 | [
"MIT"
] | 2 | 2019-03-29T01:12:19.000Z | 2019-04-16T17:37:18.000Z | # coding=utf-8
from .dingtalk import DingTalkRobot
from .repo import PostRepo, WebhookSignature
__all__ = ["DingTalkRobot", "PostRepo", "WebhookSignature"]
| 19.875 | 59 | 0.773585 | 16 | 159 | 7.4375 | 0.6875 | 0.403361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007143 | 0.119497 | 159 | 7 | 60 | 22.714286 | 0.842857 | 0.075472 | 0 | 0 | 0 | 0 | 0.255172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
1982d89023b3de9ca5bf17442a33d9b32f455718 | 294,827 | py | Python | examples/basic_discussion.py | gamcoh/st-chat | d8b2d6069976d123f506a673942e1c617d82327e | [
"MIT"
] | null | null | null | examples/basic_discussion.py | gamcoh/st-chat | d8b2d6069976d123f506a673942e1c617d82327e | [
"MIT"
] | null | null | null | examples/basic_discussion.py | gamcoh/st-chat | d8b2d6069976d123f506a673942e1c617d82327e | [
"MIT"
] | null | null | null | import streamlit as st
from streamlit_message import message
st.set_page_config(
page_title="Streamlit Basic discussion - Demo",
page_icon="💬"
)
st.header("Streamlit Basic discussion - Demo")
message("Hello, how are you?", key=1)
message([
"Really good",
"you?",
], is_user=True, key=2, answers={1: "Hello, how are you?"})
message([
"I'm fine",
"btw",
"Did I ever send you a picture of my cats? I really like them and think they're cute",
"Here's Luciolle",
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daF1ZDdKrK9tzGMpLiSylhZyljKSWMrKWMpJYWUkkkljKSSSSSSSSSSSSSSSSSSSSSSSSTUkkks+cpZwk5JLDFhefPHe14xxbVqXFuzpz3mzx41N7s86/DHb9zJd5IY0Zkbs9aPSW/T60rjRg5i6+f34gXoBMi50Py4fPrW2fx24hNzekGyM3GQe4l7BhzwUczZYa6IN0dqx9y6jPWoGQt1Z1RyMNm9Vk2NKyG5vHSviLolLkQIZAXvPfqyFBK2trnfiLDbngnnj9TxNVJjbvl6Ot0KQ+WlzUzwUv6imOat/Mh18mNttlOV5OKsItBVknivyY+EYrApEqmUilZcXvYCA5hY6dVVKjd6s4xT1X4PT6yva8zhZSWMpJJLKSSSSSSWMpJJJJJJJJJJJJJJJJJZSWEspYykksJJJLxGs+vHtJefXlLz78ekvSSel59eGd1Yx4jftx488WderTA9/sabZWZ0e2kL3GtlrEm3+Yz1A6b3xTg6B57jvSUplo6KhZRBBFjyV7JNmubsTSRiJG9r9rf01Tk3zoHmfORjELiWG0NIHDcN7i8jZyLXW1ElICgAIslZkOlhsxtzKeG8NaDkSh99XJIx4vXB8NyBZNWZUBq9FaQ0lf1jVEDZNU/mFneFI2EJHanODsnl9XvU1t5W1rGaLo2gJ2tZXyHKNKp7p2YAFIHTbzS5rbO9t6vnQuamxunmhhi5IAyBrNP5HnNQTAyWkGAby5/uKpltpBqfzsRLP0xicZSSSWEspJJJYSykkkkkkkkkkkkkkkllLGUkkkkkspLCzhLGM+WLxjx5Y9x717HMXn1q6s+tezi94WOrGpaI3rT41DSuvLfy3vjRjwHK+3xvuaN4w8sA5tfjWzojHLyJkJ45bYx2Wo231GuBJZx5FOL8BxGbYWJ49Av2eXsyuXg310C80NdHOyrbWmuhYt6IZ82VjQ6JoSiXWM+BJCBjA6IuvpETJa0izywQZY68PGlax1oDbUeEYe2h7KquHva/s3n67adBmCQkMyYwlMahUPe0GvJdz1Lw4C6gqW2g3dX8KdHZm26Wia4IxeOwJN4lQHToPb2vCqY+rTFcW9tqnbCBIntEDV2GJl6s5IjvT6T6rwMVK2Y1TlIx4qSYqTAbeHVvonWDv8AodZX3F5OkkkkkkkkkkkkkkkkkkkkkkspYWUkkklnCyljKSSykksZyl417dbE21bWkD3+xlvkZu0Y0Nd63x+2Pslhvsmb4ZPGMEkdlvppzJLYy3TM24x6mZr0vtPONo6YbjSRumQbAzMPWY6lKmWrCPrCJJ8MbBpD70F+NdWE8LCNxpHflvkOaccjzewgmtAozClsT2BN4XEgq2Y1BEYNkvgKQMniqz8+ZSByOmVdO8A7KiqUnmhra/M+6prXJhbc9t1QHIJoFL2lyD1SRGxAECdBAJADyt9SuG7YekY8jDGtcbYshmab23QDymJt2i7Qk4W1N39xV9E9WOziNO3FWO0Sk+YNLOdwEZz7BH0nYvEvWtkBak9iP8C1cGRtCajLEirTEVc8JUFqVFdhVT0pT/RNqKfoNT5uw0l91eSpJJJJJJJJJJJJJJJLKWMrCWUkkkspLGUkspJLGcJJeU1el5SXrxlJNmUgzg623t/UTt/jRt71psXmBzl1DuXp6zwyY5lG+YPH2xL6F/Ichu4BJe4DLFDPLkV41yxXHMYogKbzB7xnIWcrogsZOwntkZmRbW7BsXHMuh9wZFMOYF+QnELtHhnuGbFpEnDWL0Culn4o9c0tMa0gZOWju5cralnvQ35+sYyC0QIOKDIqig+muSTIzAgr59F0bcB0/Murbu5N60w1xKClmeKSxasHAhbCciVT37TdiNzgSu9MBNvWbyv07nS2AQVcvkBm/S7c4mhEp2ObaAcqryQtcMvm4jntGMMplG0P69UWDI0gK5wu2ibjzoOgluwNhi3PymNThQtXksLU5lNtCB12hlb+p7ySX0NkkkkkllLGcZSxlJJJJJJJJJJJJZSxnGUsZSSWcJJY9eeLz5zrYs51Y4nCb+kvTbbpam+vZogc2eRjiB+/znU5aPDJsCTJRrKBrSNgy2hcVbTXoa0VMxxNhM/eCFrwa3aIGdbwTaPsxGw7ESR1DNfFMT79MlUEkHiJZc65YwWpcLpAXkeogewzkpmRGeDx5G7OJjeNnNkHvma9atIbjSWPF2hsLatzERXIJ66sNjrCPwbofBW7DiT6IA8TuJja+4cyPn6R6Dlh562thFtHZTcxE7+J5U9jQT20/YqmqYqOrK34erO41s13C7OjsQsabs7KVsBKcMG0jOvn/wBCpOiiCiL5rZXUDG+4CYcCs6oN9JF0N1VXpwJPwj2Jy6q/qu7uHepfKrilMiCtIowwDi+xg6RSVlF9IVlfQGVwkkllJJJJJZwkkkkkkkklhLKwuLKxnqSSSSSSSSSxq2641p07mrFjzr0wrb507G9969rd3Gfj0xBlmGzWObJqg9Y9SHyw1NjVbPBOYksHcyhrXGpYxQirRvUFXFsqN2VHZmoX1tTlizi6ciZQ+2hcQehP0M8iiYqOfx7lgpoyp6JbAJjeVrx6zpSMtoaVMoPYPlQye0QwdCUwUZGwOmNEZuc3yNzwhM2++qvn/wBaecXlrs4qVw1mUtZB3YcqqTN987hOUmPEb2Mhp0V8rtqNNxZib2K7uOc4lt5cFc1L0KPQM5Dt+yh22EM65I6+fEHdK8sdG76orSmpqNik5c+wYYcu5S926oD0WvguaLur6nsoS86bEaQpjB+oNg0hdhaJYqfnuwayurZD0CeRbW7A6xQwo2fTnCXveZysZSSSSSSSSwksrCSysZSWEkkl5jXpYy5JJdSXnDF7WMuS1+9TVrbbtDV50pRrHvz6Sy32NY+sYqTY1pEKKylb5yz2uRd7UlmI9u0FxR1uVPb1rXFTD23vQaB506b5b8/0DaZqSfrZ73mKYl3NPG9Wv66awmQ75GfPuRJ1K0nzDuXJ3hvgyHLFlDCvI94K2i6bxgVqIYTxg3omjmWkP4JZKeYzHFIuIRklOjqJWOGrPPbRzB9X2psrPJ2XUslyP0NQmkkq23ypjowzBc3GiutSBoqwIuQojJzeLeJXHTEKy9h5Igs3WST4xLwc7as55NK29YznXEDzBWuzrus6gfxNMaamnIZuNJ1kBTMjs66jtFIWRiC+g+AOrtFtDxN2LyD3Xfrmq2q69Ejs4wahKm3sy0aXsx8F1KKVHF9f0l9G5JZwupJJJZwkkkkkkuJJLiSWOLHhauLdsabEt+PGOrOPGOLZnV6S9+fKS0tnEbGmbNoPU5Bc9EZ2Rj/T71Sc1MN7QecdADIcoDxCNIRzOnRrocdBykx7WO65CvmApGAsBZqrn8LUGCGmewLM1jJWAeyMkYJ5A6wpsHJKYmW8NGvVK7hnM8RQ1GmD1MxMQw7yRiWUb3kyh73PHKso9tLG41RsYTGT7a8eycMYpgxb066E526NxltdJVDGfn11AVva1SzxVwfVaTGM6RnW0jlzorVqp6aG3YhhPzQBp5vgx5oNhtqaLu7XwCSekUn1TecqkmGsr9jdI2O6c5uHBD1GiEee7Xqb1KpNQitLno5rf60+PX0kzJ/S8z7nvPrmiKq7Ai4nc5SevR6sIV2DPzkotGOK8r7zsqtDkX7Zkm5rqXrHmu6GsVQiZB90VhfSWRysZSSS6kkupJJJeVqjXvzobR9kFG+1x42w2S3ZYaI1NZhc9UwoNwuSnuO2v4/w1w7vqJ9w4UkSGzwtmLQkKAIjKhLNLLFiPoZOm4k48KngpnTgQNmgfMH6PbGbDkb+tcGUzaLOxI2D14CfUzD5yHv+J9p1Si7FZnXIT4B5saDP3sm7Hqc+YyNIjkIqGiiIyJrAte9I4yF89bI+4TzLHPbIDzOyWhENkx6dMDCzssdzXHlrujro4/ujAXPYB9yRM4K06Gp0GCjoJqWqjou1hPT98R+c3TGFtLxzmfNbYrJrA0RE5fiUlzrZozpq/wCQVomNSe75XuDbzx4yR/1bnwuDxx4pzn0tzNdsqOuC29dzWfPbry6728wufn13Vp6Z8h0Pz96XG+pdYNTsXdo3WEVlE2hy56BXTZ5zBG39PfdIdBu6V/NfUdHdQ5w/klXtUvo9btRSsef9oUvH1JiNnrXlLZjWktmdXvq9YXhLOpaGrXH74kR+tQcTVznLsLKzxXnhz7LZDMJSHClj9w97qizByPezYSHWORsTyYWYCVKdOwbSDoTJtwEOK+a4ZGtpuwiKpEOmbYWagHMbZQUxXVtVtirPS6Yec2fINfboeSIFDofcqkb2JM2Qtd7LUiZIwKcKpWNwzsJBDrWUdlpZQaoKTH2O0wDmDnZGRHqMNgfsvMXzrzMJpmZOMIaPJinkNMyY52DhWsvNsVoiZeTTOMUjZUorzzA6/L54e+k2AubAuOxtHzfs+dKB+hvyX9Apu6b4+G3T10L9Nqw5Ua0k3RMNtus2DlOwDfnZvbN+Zf2A4B3lWYcc9Q2Zcj/OoZsEX1oP12H+EerMHbmvKlhdAP5xfmheqLeEYvf5vG2cL+trfn0W8ZvPofLcrXJnD2zinGmqrOgeViOx/Sqlny+f0s2Xq885yu/NGQdo1Fv8D1dgcx9KcrfRWVD1CLbVv6FdezX73k2/la4VvWvW5OvbDak8868Sc1tlGQL1BOIaumGx/wBRuesjWwqzPbusKPcbotoPQ88Gak2PY6BbK2djthBS8moCNhc4bPRUO1qp5KKbRw7tjscl43GkoLOR5Z/eE6DYLia1w+0AUWGzojUkD+hs4CmmyGGn6glpBORKThTOV7PkxlkXA+poSeUGnbU4r2QE7If3G7WHVED0uNEN0xL4ash2sbH6rCKWitrCHrVr5ipI/cco82PZ5ZbJ2eo11FzNgon2JmsJX1eTr+G+uLejd8WTWWsSX6x3N8SCfyO/+y3HFN3xxvJQJ3fWeyrpToWhekMPZei3kvhtq+r3OY5znbjfX+rap6KIb8//AKf8nVRaQiIB0RTM8dCdgcg2rexk3TfDt7gywAb2XwqTGzrexeiK6YJMOpDvw69qS+gS9PObas2pxWvo9XKSkVUPqtN1PCQRbFNzVXt8ckXsV+VJcAbkSbXr0qjLyMEVxKGT6350avccs98aPPV6aOGUS0OYfUHIW+I31Zie4Z1DByR8Z4gqCyjY2UxnD3piJO78A0YgkM7htDg72hNmxeUG6whvpjdVUTM6GrcaXEV6hBU+jmbJvZMhDjGF5FsbxNbN70CrS3GOdwLsidLjzdpA57IRO+JxltEWgUr4FlREpjZzCyNyNLSjCTZyRj44AOHIYgDh70G3NVc+xpST0Kb+dKxCXC4nA8T6HdSAX6ILVB15Gt2Lm7IjzCnROpQbektmGPhquwwWfxRkVbbJgZMYUvwP21WQ8rkgHcWvBLRF0sFWMXNzxGeGB7JWxac0M793uNuRPsx5HdcB3mW1oH28DevJ5qBbFDISKV2L9m8t243KFfd58JaAWyS9zc7ncS98fPQqlbUvYVmcIgS/Roy5btTxu9te06iK8ySbfNP6Q/Jz2Kmua+vlv15u63qfojmS1sycR1TfMUATznqtUNE4GWC3jzZrJXhZib6h69e76gwvnxtxzvhi7iI1ER6hqMoi3h21zSmM8M+PgIXRG52yJXkBsyFlKQ0QJCSTAhqgjoCSUB3MTi6Kgdoz5jfiTrCI1nJD3ONoHfD95IbcTMEmiU3+BnsRB7V5LJJkM+7cWaQn46jb0LNwZDBpW0ZIy0ZIENhXye98/ozIPfORvX7GMfCWUUbX8jWm0p9w2xHb8Az91+5SsFVlDxOvEcrtzH2RHPMKfFPaw9jI0x8ism5ruEkGkzW8jDu383RPockU/wCQ56VE7FCCNm4FNSGGOb5k4rb1TjRtrjXvdFOnJ3Guozqb6fDWdP7dpZ7A77vVr8m/p/5Xa0j1vkIqJu0uUb2Aa0jm3uj4afXPa1tYWbT3AY7/AKEVowiZVVcnDWJYQ1L3jx90uM4ikOphTGHV3QxDCXI97g0sZ9fw9ZNkVAc3pCHJYrHm9QQTRV5DHPmFP4IRpWQtlZIiWZK+iLwA3fVPnhzkMlSYZuI9xsE0JCPQHN2s34Eo8WSyWIi3Fk2a4JU5JII6gEKR+wD/ACPIZIYcx9Jto87TJOUhJivnJXUbrpyvYxgXKj8xrSLPhMZ+sXcb7XiAjUNI6FZtuuwsXODT+Q+mJ1X4MmONQg6LfOVGYkR9IFddl3mV4Q4rlvLHbTYd0cc2gXQhfhjoEWiewrICIm/NmOKxZTATNhWvtsTHOzItOxO8DpCP8UDCyTwtkDNBc/K0kwyYwudaIVlO2WhG0eS3Dhr7njlsxexqlI596ahFrOwRS3Yb7Us5Wvi8s3W9yidBu+idXSOx6TkRJ2z3zjrKtvpq9u/5V3XIsvNw+rp+WJD6PNtaP8Ojnq6/NAF8L+6eh+VA3c52qw27EB73twb07mye0NNfkOUK5dkbbeXgnKJfMmlkn1JXNnOkiDCKmKA029gnuKUq0hxRfDGJoCE9dO/UOqA3tcedjPpNbglqya9DzlstQ2LK7KVrJVzSlyDQXiasi35AFJBH7B70GQvdhuqKe3b5i3cfXftvoZ2WeCLYmOxZ+pCECS0Y4ahgJ5aEhIs2MliIeNk5Kx68Obn21in8OHQDqCnLQ4fFjo5dQ+i6D9gkmK2ELKwq6P4+3kQV4SeW3o5ByYVpgLrfU9MP4fj46TFRDghb1TWsEO/czK5oijGHrpqiDj8G0oOp1nYaxkwfRMrY6etYl73juSuoSfwLiSMKlZrbZ3EsjWkspmxcq8kmIOaFkP1NdzJnK1zDeWE6c+dO16ce3JQG+Dm5U+piGHXnZpL8sbihuEfshXOWOg7Y+Lljbmu+qMdXNWVM3A3Y1AUV9FY/7wEHwt+jNTNf/N3TfI2dNmuHCfpL02mha5uwEz5DW5x29MxOe0HbXF5rPfXfzO6uuYOhvld9CPnAdzoTur5EfTqvIr8iESTOWMqDWk25ysrdoQtcr2go6BrmFCYqVd7AZXUMsrckBHOqANY4BHTYzeLiHQj4iO96IHGEjX8JG83ghWbZ102fewJYyWdkdMRFMT1hVT1QOHYLqa/U7jtVpAQRbAcSk4YYGCo7F1Vrvlbbb+tSGtnLoWKhmulhjRAWUSYQDO4HO/AlL9j1xUxGd5HEUM1hfcBNThNlz3wxNQJsW2ywDoGxhmmne1kOsOKOFvt7yQ2b56TWWA9XtFM1jJHvF4R1pwDOS1zsEolPW79L+GS0zBV1kfRCfnHqvia4zXzqBexuVtTkBVywRsMu6hn7eTPrUwj65gpSM50bgZYZsmb3jE5Z3aS2Hanm1zzIV/R2+fIrz5x2H25RGNP4Bvyh5H6Hyv1EtDlHoXwfWaOXbegPTqM14/fFF2L8vCLr62d7VcpdmvK6qpux9PB8nSE9VhU3d8rOTYvu7naTnJ/dPyK+iYiufkS52AD+KOwFPxom+cf1D4FT6x6+xaQ9ket2EdFFRxzuovZge7m5ZuOnO6mrxm9QsamaJZ9CKSu6jasnzDaPE7YLHrdM2Ql4uTHfDj9gAZMYoDZGCoz03r4+qCSPZH+Kuefng6RrZj6EgxCrmfV35CtZWkXkVxdjysGxhi2MRmQYHQZkGs8uNPEhFN600R8CTwjhxxmS2S0sPRkUvPB8szhe2YeYHaYfcPT8KJur54aSysCt2AyPO5qt7hisSak7b+dlJ6H1SVcDdMVV31MCWOz2mEqgXuxjLFydP3uuO3SPjeOWUhGI0I/kECsTi3NaT6CdM/In6UW9MI8B/a2u9TiPzxi32F+cV9mqIww9WQD7yw9M6ebtU9lrCox37TFHn158XLO7k4RuQvqWU/KbR45dfWEp+RvSz+3ryo1uHWCCHV0mBakKjK8AwMqO7bwr21CouDjd11zJw/p5oU4Wy4K55+n/ACH6pSdWmctYfnlh8y+lPpKyqLKp+oeVpjQhC5papYGykBe6aSjZXcPVdIud9aK53jfnF30HXMly9XPKb0+fHa3plUxqDsahp2cUWdZNRXjLA6ro+/j4qdUmou931ldQ5gLagG1ojNwPXrM3ES2MpiEdN7JVcW1LaDAvqPIjYSgsFpvPGSkK0hpmkLcZi+dOoQKj3sfB8k1uRtbfxguOOZuouRe9enbKyWmR5+zu+Gk4WXkVASODGC0WaRtjCPbXuI009t2TERuB6eiWIg78PVdzREWyuk/qdTXbYluSamAGFp6H4Ee0TltZa/1A4N7qIhs9vCkBIuGUzBJVo+HZoI6w8stxI0HByI6PNCfMrvWjGLkK8Ofi+4qvtdK8AfQiKWA5F63aH1PyKrj7yD2iyXwT6+7OF/Njh4m5q6x8C1UHSHSXFx4oYNvOzPRqX5Xgv0L4V9EphCxQS3NOF3DYmCbAWleUPA84Hxsh3bK6yu7QvGqAqlIBLY5RNoX9TDXP9rYW062kRGuIXW2I2Xqz09btbo+e5/OZe5eIOwfcc119ZFTGeTMJIYp4wCdevzO7JIymR1I9Cc0p10UaV1ZC21rFv2lSle1WTtffOV68qW4aW9JE6Msrnp/fcfoAWgG+orWvHfnVpNa/bewjaCk/pc4VHLmDToqFqq/4azH54IDPeVF7MpSzspYc8jXVYQ5cwB/R1GaQIQ9C3u9DINYlumabSI3OhS7dcw8rZ4BseMQ3gDaTHtEHriZmP0QsRtcxhDXUIQw7+Qegi3VcoNBWNX07GZGGG5bOtu/eKfp1U3kIbDvtuhKa/wBOivt5zj7sr5LVx9bi7W7jg+pLth7trbSmqdNeVa43oi6uVb1jkO5Sad31KBUdcnMVHbhnRXKmkwP6J8rsr7li+Vdf9hcN3FOe/YD4ydoxT/QqrC1vzkZbNY0r5mV0twj11Nbehr31xCSefgVTSOuM9czHTVFVp5LZdeuyO5vObj579PdMV5Y8pAxG+jayT5YUf9SajOg4ltqkbI9RpOo+OzHAjpDpbRfeQMqGv+i6iryAHm29aO1wIh0xQT42H7IsfmF9SPKrr5d2700L+g1VN9VcndlwyWWCCR/WT1zw72j517CMGlbOzS4Ftm72YzXdB9A0WG+yIMbIvHbIwrE4Y6+Nvb/OmD3SqfrYhdfE+8qyRwuMk1R9RIawRbnjHLdmztYibU9l6QwAH7NAQ1GzFXT9jBaYi5r8d8ZzB00KaMPimR7gHjoeGmtsBW1rdJuV9C5Wx5c19sh+eM5XZWbzpqa9yDQ8fuawykzmwBpaPh5MHuRpGLjoyRp8WVJYGdMLhI2n86Xy3fkv1BpR+u57RyEJ6Dfgxz+Q11za/QPNpSYFJ/F7vnj1MD/obwB241/VPzWvDmUyCn76Hr+vKWd7zp/ubOX0JtNGemzNS/PD6m0xn774x80/ThzaV/x3+nNsxEMg3ximAM5bcvJ3bHZetAcZqkE2y6gINjuVv3nyncjx6VDjr5gazzO8Av6AcVhsgRU2tF7eXO7+kul8Dd1AXGXny2+BekQ3PntqUfOTv6sqJ3wXYdw/Oz768sMbg5cJbkbug14wdYs7pamK6r64hs8k1/SLNE8KjV/1pK2uuoaV6Zg70984+5agTuSeruMbbuoekrB5k5Vq5vsJ4+f/AElO/r9tWFyRzg7qVqzFuf07LDOJIjpvVKVztPht6sm1fuOpSxUao1a8b6rufAFl7CKDYQwdw0jX1fVZETA62t2HKzdFhl4P0uGVI7YwosCorWOYR0ue0gHIaylFAEvO9onkQqy5x4NWDA2EFk9FcC2zkLfsgQq0CoS4jiK8qI9hzVYSJnI7ervLpDimyvPLiU4/vDn7Wgig1Kw++qZGygg8oyLWMaZks0XcPbvzt7VJmsznHvP5tCejg79+Ioi1rLE9LXHXKvaPDvG87dO0p9EzQAqwqxaVlneJxE26RFe1giIjvcJYOukhiWXp+CoI1ibUtP8AXPKeJ1vL45YNZiEytEd3RsXflR9B+GuydDTWKPQPmusFTfQ9Iv4VdxfO/q/sVW/Lrvnm/Xea119So3q75u1dSX/WvIWHs/pxO8G940Fnz1Sd/wBFet5vmbufjQy0Fb1xRF5iWEsuC+FvtfwH7Tn+GCqPNfYKH7HU1yp0x846sD7D57tCunsjmr6COPDtL89jrt0ttGcSVT9OoOjL+Q/el7neoC+YNE/cOsvQ6r53/PH7cfMDdVPP50Hx3rNB9QejvlZ9McdYGtYWTCcbzmU3NEYeeuYqyadb3BNV5FSyzRZWk1dsiVuV0z6LMISx5e81ThHS1dIYNK+tukLnoG4tFaTxvWfWdVbKsFZUtIImVtfPi0KkquueewecoX8cQ8yH+jU02e1baMbrFFxgFDdOPYV6RH0oJx8VVTVixOpcnkA22UyWzyEuzy5hDWvRkjUFctDX0Arti5SNo8H0IdiQIHLGw2v1bzN9DQSeh+Ruw+U8/wCmc9QcfLdNPpqR8NeWcfX5SMg8p33wV1RC4WZGXTMBAVblT2MeBG/OTqDhHSARV5CIDaV/LH1OoB61fVQCrywcbbVyxJqIBNhXNvc7Dyce33yZ1ppaPROUkVBH3PrZVyKYddK8gdzvg4woGwuXtF5t9Aaq40EMoR1P1j8mvqRrq4u655c7i8+uqUuKgTzw3RlPNHY7Sv7XnR9MXBUTwPJ3cgsMvnRXnagl6HXcxkHW1lIrjbuaZifJb0j2ib6gnnPENBSMJtlRGgPTCO27NEM/qm5QayGJeUOnIK3G+S9PfbHlX6Hx/OvclZW1Zi1cYTLZvCiI9VjNDD1WPuIJiecEjTFHCRoNWJoIazWFc879bT8SKo/li/8Alu8h2dDcoWlmT+yyjm8vyNtZlRk1dGigE9RfrW1PQB7xndtKVcPO910HA7n2Jnh3d1rCcrwguIGIuUt3cKrZlb685tqhlL3h87YVLNFLKWKCArXf0pFYTPRhJQm84111rxbZRSVcc1gns2c30jpG/WKMwIK0lDY7+6g4f6JyR/14qkz9ZH0r5u3W9HQNDYEFE63tK6HuvlC1qc9f/LT6Mk1/e4p8q+zBC+uGziqerVx1YlWWInOAZaIzrM5nprnqy64nq61+DLayd71d8/8AsHnB8Pzr7I43u3QUlG95fNvv+WSuZ9vK5vRWdY1UmNLdWrY4p4OrPn/zKQ176h5H51vH50URf9NTsD/0icETfQ/lOikj35/Wx4Df9Dx4mwdyyT/huDfzvbxSB32Oqnts84tf1iQ8uvxTCrlgir28jt3sT5l2jR97iiayi6lHQ6I2FYwcg9B0Eceh1d0UR1pzdZNsVwP8TVM/TdkfPHsncUrx5NtA2zFbWrU0T9w5WWjjt1fW1MWbKWv7ZslfHQFq1/B2JQuuyfS4Xm69gaK1n4ZaQejIolGCm3FdfMV9009uDLSVCVEjtp0Rbj3fdFA9VUJkTyp17wYPIKCbUQ3NRvla9920dvNY0LDn7Pvz58dR+Z23TodIB2esa/Ho0x2VNWFk9IHeFt8WQ4h8Rah/CnTHHN6LSQr1MZen0vywrL6Uc2ehVPML4xabSu8WnV0yI/6KfRz4b/U3Ialjz919TeO9OpZ7YY49kJyr158+NJnKw7s+f3RF9nZ2ZG6DT/t/TPFNiZ3QHkJVPNF3UXfRFcstdk+jbR4olR5+3ra4za5u76g56CrOsW1wR6PYg1JdRcz77ev+ksLH3vgd+HWTKjAc5z893/N2689b62Fu2lPFktyW15bf8fQ3Z9cnj1196Pz9Xhra/pLm/wCtPzToCyw241tnz8/tBzzHZNCbG2dpmJ+XPzeTE5o4C1CZIhgga6ats5pymrTJJ+AXcPFfVOKlcmF2i2SL5u5K6o589Fquu/YVIlMfgMpKcj5FuB1at0FqIIvznp5X0zMaIqrrmm91ebQA305tn5Quq6JI9c0HkJVR8DBNFbM7gCCyLIG52jCFveMrIatQMM4M3HU5o1tjkgA5ARFzVcVJ84edl8ada05kNwD1jxmTHGxNj2VaDcRzPUsHOgeGtaDJ5v6W5IvnHndTD2qazJoMGn/I5He474+KnSAvPqrQQHyJXy7ql5xvL1uh6t001W1KRfFRx7iygrKv7sr7WAVQ1noDQw2FcfPk6DN9UbN+SH1Vy+t2gXVXFFPrQL5Y2qCbzDzNy1BYzHWfTlwDFPasuYPpTyXsQuhuXvuHXtzQfFVfSyFnE4FtfuK45+8ucXfXXgPOW1eRPXfKdffBb6qY8WiZbcSdpXv+vuNOwqG8+hPDP0T4Hp28WC9lD+5yY90lXV6Yy5vS/quvH5Y9BGaU6IoO0C5ZCrVx9C4r6Fds/J/6OiFfFao/oJ887gS7O4vnv3fg7K8hcvl/KdBRxVuoveU1vc+25o1gGZBntAlqoctQbb2y+nKH6H8hu7AdAsxRT8jc8fSantuE3mLtMy+8IE3UrOpn+TO/tXmr1rNDPQr62snMGxN2C1MdzxfoNpvoLAkgeMI6Tw8dHWEMJUVxc5nxGqbrvO1dLaFrug7UliruOAG7DiJG1nNE/sWSIip+CuRhqrrHCayQn6k5bv4SasuXeiajKitfpCt7yoSBcSt/35rectVb21Q+sA5BuAttXfVNk1/ffK8EzembYDJIOWLCMDM+G0ONPobyrRlcOWNBxvpVUfMRI3F7LNocbgROM6HszRiBtbVM6u9ZkPnsNftD8Wfq9U2sryH1zzrlfQuBwy6K501AGP5nda1oo7Y4fF3XPc1dMP1nVPSPG3c25yNHjlte7apESObimvpThDrLhvE66w+Pr/5ZrIAxoUSc+eEySUyOS47IojuvK6HoDi3qzk2Km53hS0f1uaizgSeVBd92bx+y86v+16VoeaNGm7BFX9+D1P1D8/bO8y0hTxj0zUmiZVN+VxN6MHsU65DsHzu1uarZquZQqCKQ6qvR6btewqh6hzZzeasCxvOLeZxJT/m1tG6JaHqJ2DiTkjOMCTzvCLaxrsfkYK13ZWfWMoMmruV8wvg6KPRamOGqyNQ31vPU/AFT/VV7LzZY6REJBF1eNcHzwjVN5bHpqccjjRa06cNeWykOXURIEMSQ9cwMwK1a8sR63jX5FG0htbzKgyU0NWMI94bHlIStdLYJhQZtnTbWoC+RStkqMq9tNaBcVFOYi/HZV2eUjPDYdpVLcddNZHO93cq18/K1PSwT7DRWOaUuXwOuq0K46m8lvBqF65eeOaLjEG7I5r9EqqVH7Oc+n0g70B66EpzLGoTpblhnoHOlfdh8mzR1HLPHt3VDLI3gJ4oo6imEzPon3fz7Y/qNOOGQyZ2bADXtJ+GVn8kfuz8M8ZDUjLa+oGsZ2RJAjoqCNdoJVolx5z9Tm/RviaxwAnN01WNrhOqzkC4wQTMg/Zjvjl0XtXdx8ZirLfpiHok8eRFUef66vPM7bbSOr7Nm6SWgFdQ5K3Bh+8HOaN5gK+qrvoowW06pFsBYXsq7LgJiJtCwIzZ4YiaT3VR0kf0ZIvdacpz5GDu6FqyXrXXVUoc1Jbdg2xJIejfAtaRBxANVbqdrDoOufpzEgmvfRAC7EHY6dNURDSQ/6PV1qtCUvWhDJDOAsdkkNW1v64JaPtvlV7z2BdYiFuDRxBCmu4AoiwiCVEYUw0qLseBAti1daQR+piKvYbyY+ShyWkZ1gcUJJAxIdT1QrY/H74cY50v6ny4Zm66qfQdtLjy3+dzG88C1jw/oVbC9C011bTzHslY/PPm1vfl9/LrprE2XR/OUcCSp2cQh1sgbs7qrXpG2t+bOROx+E4NQfVXadiLnBdc9nc2MfzmNlTbRUMXcNX/XXS13X1c2/RXpVeJE1c2A4nycw9juhafBb6N/I/E9iXDchzU/oyDiutsHN6hVlVR2+u7hiIRgh7Eu7rFaBC0YUqMB3lTu3ggGhjDiSx8m4srMnVf46C315HOrW1xbRVgoWuzl7hKQuaZytoSFFI1t5tf9OxnPp7ZS3bYHOO2ri6ea0NZPILTIQ6FwtpOC1c2Ho68dgDCC1dfvIx6fz0kG5cztRJvjmwfpxLHP+bD7RxWtVBrU9CXaccCMMLYleREY9fpy6obgrDUAWj5e2LlyeeiSDLNECJo2Usx5AgxdiC/F388dA7kWkDMfc5EueF3FYxTkuinjo+Cwd0kVTDVSKW6KskoqoOmuSzeR8yIXloK8sm5WPzRUPL09Is713Dh27NHtWfnfs68Ar+3REmKrAW0oiePRSl20/PyrpQnMdCNWXQbm66AiP46+sHKmJtuSbNtwasx6aIpR1aQTVj7+5WGWCSQ2LPS1nyB1XxtVXJU+pmRUcDXpLtSpONsAdKHA+5OQgTQV36IqJq/oz1yt59N/UQYTdnzx7H+H+OHlRQwWDLEG22UMFlZCIuQEsldQZhUmy262QyKuql56lzcvogi3bx9XSJ74LigPZXvmbDWNBEeLtyWQj2metBGlLCBvS8xB2MOnIb+mZEKnPK9Szpy0qtNgoC5AJ/6TS9tQxkZed2tMT/p5Ywk1k10RU0mui+jKUmYZSrSEqy2rvXYUUNexr8IfBLaoqd3AdFdP8p9bP7Y1YnoHi7MbnNxXVdgYqzWAstU8fdz8t+0UVtdEckdEVPW9BdEUvFFWSrFWz+hTALIqGbd05RfVWogoqp7p5tzBFqgRSK3baYtMTOlFZpGDPaN5S4HJmpODeb+pa6orWoCE50+g571XRsDEQ0PMn8neDEEbalcZM/E6Az+igUTb8UJLXz+bK2wUbQ30d5ce/mssdFd8EYdEUtceHsuiqEOqz8z08cPmAeaHSdezHj1eg7a7orMv0FwLwuwdrNALc13tzfn72jpMYgbOv6HpjojnGWNlqjW5QtZbjwwsAqo+rfy7BLhv3aiPmAQ6p0bzAdnGAfU78yhB1UFh7buPBDjHoHloAoMtyqukRp7lA7SYhCURNOZ/mZ2lTAyzpwXH2fDWsFWtDcY1AEA4kfVdO1iplk7gu1IpibjV8UnI0tMmM/P5qxqCM6wJM0Vxx1cE2BWI+eAzrLl6guAlvXaWcfu41vHex3OZY0UHJOxKooHh7LpaWJ2JWdXpoFbyoh0ppYC06qEsoLSXp+7udqomzLMrwxq+u0Ik9OSM0d0lXvplMD20KmNhFH0neFJQN5rUatWJ1tswxqlYvQ/LHSemgq3nHp6lqecjGrQk7Rc3+LDqOdlq6od3XRkb1i6qSt9angn2SOfaoa5FfQxjqsohhqREhEYAH2TXOVJjyaKsS3YViMgLVpdtTQ3LY4y96uIt+TuuOh7oGpPVc5Fzg6WwwnglM1nUmb6nkwHSAghrG2LeC/UCQryNG2W4gm36O54qm5+fs1ouf6cvaibWsvauuZPWmz3Yw4CXFXnid2c529LBWw3ZcQYJUlFFitqw3v0AnaqwtyoegecI3uz2tijvO++R7vA4u0N0rQXVQFjG9AUJebFzGpSHZiiWXgfFdMUSIeV3Q0sKnUTdj115IdFOXCDdoQL23Pa3D5h5hd31b3L5JVyylggMxP1tTNzSkTOW3nVtIaevtqSDivGn1qWSR3TmVpJ2GxsYK4aXJXrOiz8irrYBRMc7m9mHEDZCM5zok1tAunVc2XXElXzWXXRFBxP6kjI5/hraGMhCSyR+QQ9BtFXOySvnhMEnUtgstaByArqWqDGiAMsu4ZA3nz90jUOKuZ+o+Ty57psihLm0goFzh0zzgW00lHZ+E2uJj1EZuZ9Fbo2aRvLzgANzftmoeVOpkFIbmCDro9AKZ8tZFYE8/ZPMAe1hFYzsm6fCRTYdN0JsID3APW49cSE9ExxBVVHsTZcDJ62yvj68k5URHbe5fyV17a2/TsGQt7wnl7mXsKj8fsOe6jvGjmrl0JtMb3OOCb7qUgNDkrjG9FVYzx/XEk+Pn87Lsmh2AzaegybcpucFXx1p03xRZc8PelWM5isPC+jKPfilnHVnGfSARk1z/wBh8rk43Lh7tqWD89BydlCVumRURwFyas+Tt4ki0Hw1eP2ML9a3soHsmBhfPGUZWFDADe9WVT6bmGWaEgiuamZGCaftChbdwB9jR0CMHK062Jw7OvMxkZJN9Vh2C0Y9EBhG8vkyEStGvtoEto8udHieaMa7mAtdBWvY3J9/2EkmOzkd5+Q9DTELGUU5gYx7LD9wrXdgvUEpjoewIGe0MLboKnzTMnW1y9aEdrYxo9BS+eIapizRxOJrGrIuFij2+LTeytc21Giy0wzq+1ROvW5rHXbKz2knuueMivR1ZZewrjz4WmrI42i5xdJXrhZkgJNWUudH6jvYq+N22HrBm5W5Ltep5n4ExCmMihqYKz43/TU5RtjreqpAB82wYZztY9b5jUhtZWtVQRdQ1nZdO3dOJ+JUZ1WbvKrJynJx+lpWMHQyLLHdsGmzEvDgUw+GNVaLar6E9c+W+IXaNhMT2qsRwfYlA5cBe1TWfTWfXlT2BCz5wfjDAXhqxLZ4zLHYp3XFgMkkIiebsJGIkq02o4HD2bGSsg7cE7BNHlJceFOttOrdznIF1+LWcN6NoG8nm1ZwdNwg4rEQORGzMYdX1jv31cZXclOTWvrowdgwnIm2l7qgqvx9Xp362gBU4HJITsfUdrA9XJF3XVZxZKYbMxemkO1TZV5rYEdfyWn0KobQGqc3EAWp5QOskZMHhbIfourC/nIWsK4sO9W8yCB8SYnrN6AunKrQoq4aYaYtantRPdU8SO3sBUdhJU7fHsLhYWkkTPRIwpaQqjzO5DpP1v3NIZFkCWgk6ng5M0LTGPcQVihSvjUYNgiLBAth7J2RrubifYg/OzAVwG9OhVomaOO5Ht3niC56rcViMT19pi9RjVeeYVR5bQzUZWHTvPt1UiZwDjt3TynPHVtVXdOyMahVtTnBjTnpNvTnuYBHxls2dhkczEjmC+ptd99A140tpoijCkYCTS0K6tKoP6v0SWovNiY0RNeAB7ooyNxqTxkk1S/jzv65t6cxpcD5rpbuY/IBZ8ny0I+fCyjhh7ahOlKyJoSyiHH5IWZ0yjXV6c25np46jHe2r9R9X9m0ZnppsqOpIJga3Aq/r3ewZ06qKY1R+2LkxETdfg9lmI80q5CArDrjsOwfobl55X2QePySP4GWCL0AYsrl6xz57kXlV5Ez6uOqroW1BRs5vWciMpeAr5+gd94xVFYcvjGv3rxJC1anNagWUGLarwVGPQVRbriJRoxrAtLcqUyhqMmRw5Hb6qhq/swPzUkQzfNtEMZlAJI0syLdG0PhF6K5HQRU1E2wMRPAgC1AUbsCXD5xCcpeCw30i0LrnKvtq/mreLXRW2NfwNoAEwlL1t0BCvhGpsGiYJSvn6wAIsav/Q9C3tLe1TxcgUOV1/eNaPjqt7Kmt7RUDqOIadhXD3zWQU+8xECKmuLb6E5Pt+rsOuuUegKG5yC6MoTrUEq+WU3ELOiWZbDwoPQ/h0xp7g2DmHj8BeQyn0SO+ho5BpAxsTCyVr2We+xiOsJoWa0CaqtGOsLFaCnudhuERnkGUMFLYCbYAeO6dsm+gkSsAcBdu3mWws2SBLfgrAcyp9BVpOmhJZ3mKKNApcWr2PHc+5Mjgz0WIrJ2ukLmqQiXSyE7izkPgWKxQKSvzuEsyOY3UsqCzu3nmzx71als2szWsrloLSdn8/1Jf0tcc22B5hdcg2o/IvRKbYK2OK18FQdT0zclqzVBz+k6MUGz2q2Tyh5SdqgyWQyfRADYytjkGEl9R8hFXAp3pfEedlruf2MoFcJIBy+0Gj4KbEc9NEOdc7x0ZuJY+LaAF+j9rmXWKS3xQ09Q37Tpm1a6ILwh0JayhpCSENruxaZcyuvNvMTwh2qyGGKFb14awtrWnkROxkT6y8WR3Bb0nDG/7LfPe4zPIpl9VeDqPSU3D3QP1F9k858u0eTomrTal43EPVXF/a4JfUjJ/Bi5qJauNDxI0aIBgwYTgJGJkaTe4PRFJJ+QiPrHkkGLj3I7Jn6fMIZLOnIewqol1O7Cg3gM3sDWnBw+f1hWn+2uzcQK0rm0xW2rhKwqbtMOYhIJy3qc3nm+oOzcsePVSW1hdskxisyW3qIqEngLSAXJOhs1x7VgOkUbikBsgHfLVbYthajj9lmwY07KHcZAVNoOWNtDeQEPHu2csCDZB6kCuUexeZ2S9JWtzrbGXYq2bS/XHwYczGkHGyjQEET25FwWhji2qrOjwY6itFoREuKq5I64qGufY9JESxrB6Qugqg4hImm7bTgQL0w0Yb52aTbv1ylZPFTU44uTxQennke9LNUCPcaC6oHyIcDbIyGijnrNbkRMVTCtjNZIgeKsOqXR1CLEDs8CuikTCbKvgD6waYMEndwUbEDvvrh8trmMo+2nggTH5OU5v6Q4HGtKCtugrczu/srz7tgOcAp/rLmaRq7k5T67AktVg3bDZPzDMhB0JCLD0Oop3MNOmpuEFNckqDHN41C4iIYO/wDKGjdqmEl5dfy1ngViZo+R1uG0U3tM9l3Axr6wI3P2IQ5MHl3UVQ8sDF2Dyt00ZtgTyeaEtOBuJoMLhXc0tEDFtwHotGB2MNiFvWxcBKCdpFYUdolUqnY2XWw8hKR11MAzmRgOWAW2NLt7uzHZ1daNc1JECtypSZwVPwD0ivsAVMY0d7nlrrah5JbRz0lx4GND2awsEGQOdRu42KZEiOPPJp2wY61emwJozqCkD6oByM71YIZz3Z/OVGS/nRg5H4096B0qE+mYGRrpYIo1mBkGbXgjPJ3MoFwGXuOKyOuZdVpZyHrgbrNHfG4VcwPYxIwQJMRpiPIfqGSqa1J2CrNsddQZXdqc8uZF0yYR1jWhcuqxPB916SGNvV6JPQMt6XVHbEAWL0jfPzslCqSyZWgrYqr+0Q+bkKK6FLuo+w+N6L551BD1dvSnKnVoqM4mBDA8gR17F14UOXR4y5eit6A6E8kDXGo5uj2UT8Eohedel+ULt/ADK4uxIC0TmiIT+PD9GNtC7VGSlqM5hWIufEVmXMO+id1XL82yYE9zBQU43whMZ8iWiLL0fL0sRTxFQa+bB9Fgq6BLSigoVbNBaeu06R8Vs2XK2jtQchjWJiOCuMr752JLGC5PNFx3H3wKPoqonYLaq95SHmrfejP5HXH1BGdz2MsIuUvVxx9b2aKqmsZkLbO5nM0laDtoDGVlcDonBuBaiLOq7tbbFw1CQ6UKL5r7T59ZwfPZAIliYC0x5CbKvbGiAyWZ8KSk8VnxoTB5iznzkWMNMIJcel/PMHo8zJRkGp7on6uKgCh+drMbdF5Z14YE19y3lzebufaEzX0g5NKdIqve2JbyYYUJDDR9Wp4OXHqBMFKzaHsoUlnDwNuxup27atkUrQryxTAWerGhBOx8BoAgG5IHM5Ekj+vOtufrxYoupLNrgXGgA2d+DY4UmJS1OrV5YchC8GljWXgcJSBK3gb7KZqw8TaU24scYfBAahGAuB7G9aiXM2TeSYs8+X4DHQTbADmtw3ynSRxBtS+Sx8E9FTlUCf28cqcJlTSuaV1F7px3sqspY16w0UZCMH3uyHpavbsqW7gfnIfNJxLHBJbXSwg6MiXOHk9QxbXLpc9oK3bzvpRyp5i8zpOQ9BFs0JmyitbzEAdZ8yFlnLiYGaiCEsodKQ+ko8UbLIeRhDaXHlf6hI6nJ5igX7NQWoRBWgeW6K1G66uBLjrsqAQuQx/UVriK5JAJLZntQA3AwXNn0fLLlnvR5MtPmz6iR4zZ2eyquRl51LgKMK2xq4WIWnYaWOwazD6xwaB5I18mzAfRYxYITUC9kOKWRLytqq5QKEMGOiypb+UQQG2fpHfUJ/JyDXjI1OexyYW+qJIuK4A6QfjyCtG39ytY1pQOhD2yC6W7u+evftXO/gbNi6WkrpxYUtG6vHVtPx56P02WLmjQTh7mSCPjSeOh7PWLTp/kLOWDC+OyJnPcjZs5aQzMxIw+asRoUk4u7BBxA9HtlViykCDEECantVJI26Joi9RDLnkAUXzNpfjQAlLKMoH4SnbCGIHfUZ7DnzaDaj8TYcGJ6070rhI3oi+jozX1HzTlDhTWRyVwNULI8l7UGbsmHsCGwi1bCppaplYse9EDvCR51tymK00veHBhvez9cYexiP2PoW4pMar/AKYgjnLD5vvq9VFEFcF4XdFfdHc4SQ2IPvNYHYIULxSNWkKamZibWOPm1c+IYjx3KzO4N2hylUiOToLtLDe1ItvnMFSoRd6CVm66mzR75v8A4+6kqbYbMD5AlcXE7odsK0kiW0k5s75ZyZEMfJs/KRPypL8/3NTiRDtWkoLIubjg5TO3LR4ss2sn6aZ1uTjL3Xx/CBnDEqSWFX2tZFbCvhSovnu9uatFRCJL66aZFs+nFP8AbfmNxGN7OYefOreck3rGZ1voysLCg6xt3odFVUVbQlqK4YakLcxo+ZwMpmjCuJaxXnlr53BslpwyOMk1YQArUhlIELShZEi9h3kb6wpx0HeQXNFw/oWYbiqtMelxy+h0nlEHXolfYtAzOcaSGWHWk7VOvC2a0tCkPJ6vrIsy9hUt2VnF+u03UfNNunVfLzltv7bx/NUtcMdrKzcbwhTjLx2t6oyeQrUFLg+lMlSVNlFeYU+YMYi9NbCJWxwp3iGz2Egu2tkirXGoVCwfRVAWpYyDE5AEsrrl5/OYXsA+VgpNWSV2NmTCcZ+GWzVnOkjqtDgaSV6C2y+iHIKCqsQrZC9+NEueluSpb95JstpwbW1o1PcxaZ8Tsc8Yt6u556Uob25NRoNjTcg1N1JySYFKl8NEkQWu7omyXtmwWVp9qr2u3QxsMq1a+PdhXvicUn0+ybopW4ask0siubGGi3z00ziY1e+XDH2LxF1DxfITVUUJx1pB2x3L88Ow/kz0D6GntKWNFFMDwhAW9IYYGYy1EsGMBopK2pWt5U+IiEoeMvhJ/RB+rJk29h5MSea16R3AWcSIsq+tgeh52nTLSCTj0IjKQm5BMcIfO7KHHidxVShsFeNa6sOt5KLJr4OJreTqi3iiejufbmBfqHSel6KSeeD85l5LVMKwkrpoFou3mXRwdQzlQ3JkrEosKuCcoizpoFm8fbPBIjitjWi+6NHhpLAQ+qkqhC1pWnvuTELvIGVhHbo7VVm1RvGlwydcmi24PWME0DWxVUxreBx1zVtbJUgyUatRToh8ITAHYV021vhr2XEChjL5YiFiELn29qNtqwac8bF4xTzRhRtLImwN+0b1f2xBeR+iaA7v+NK3tWqbSlGjwRxa13RXUnDFuUtx9BxOvBkIkd5aNKatazsGnug6JHKsl+FFqVO0nd1HWlVXEAZtNTnBZzuzLC9mPcrBPKF0MRizXde/LHQQTLG1QkO8QkJAGaIjD+IekecC3UfsftiOzXUXMH09zNt1kejufPG5dQoVBGcFQamPiNEe3bEX+IKWMj2OhrVYRmbWElpu6JcDjQ3mlVaQilml4B3Fnwl1k1CdkoyicMR3zRjWZpWS3Kq3hsNaTNXEQDajQBv7KCW10HXPGPU/XhcB5IoIr1xLdE8WK4MtGO2h9ILXyTUZFvy+EB3VlpURB9KQJrsI2xeOT2bsyfwJtqQ3TXMrVt6AVqvlohZASsIb1Ylks5AhvQqycua7z5NOT1mVVfx/QCrXdf14zsSsGuDmTt9cpdDsnmtoc7ZKSP4R+19bsp2uUEPFOmTG6YWe3a6FvL0C+ggZLAloUuE4xLoixRZn0ZZFKG7fAJZEHHdfPQAs+tbOiiIwhbWABPZNUCcUnQ3Pou2tqse7x5u7Hgnv/n65gnMamonpJSZAdVjRFAaPO+R5zGWQEdH6NlgBMTsZsglntAx6jkvHoDl29Kx1nyDKceJGB9i8fFsa1Em5cnn01JuPLPrHyZ9AMJYTUfE+c0HtYOGDGyDWO2NUNHE7wbu174ko0M+JXYSwVbmDDqiWxYXLtE+b6huPqh2duymgTiySlPqAf6aBM6ZT5RKbwHRERMwt4KPQ0yDnsKpWmNuWKPpmh4ykktmPEDizgFFb9X3ERfKi5fcjwNLXbXFZJUEx7bZUiw7zpG4Ldlry4bI64Q6gR8eimcwg3FjEE7bJhwaslbyf2gLkpvonRQh/gjEoJo13KN67tRVna0Ca0v2UxbWNnIYIhrLZDT1sV1b8ilHLmPUhrCyvl/KeGLjho4BCZeDbemhNRs9ZRa4ufHBJIjTsMoukPTtDXQy8IKzpuej39g0AZVjKuP6ivytbSkG4h5AGV0vEt9RQzy4a86Pd30YabKo7jbX9hhERIAAm4QQNEVvbtZWdTWlanFX63L7C8HM54X2W0wIUweSEmLMZ3FXNnicufS4AI4h3mwhqo1o/siX9sPO2XAT9PZfR+7wawsAm2zZ4AD3rwnMjms00amz/AM+hn+5YckwpXOtw0KZqkYwuDmIjTyU+baWFDrIizYqdmz+dPGHCKbeZizHK6tkMyZlPeTmQmiqCOvSsvWs9UNQWqNlC1C8uYtDVOb7iB5e1lPQRlkZzry12elBP7N1RWvra2pm4qXqphcdsVzSzwNzhhPaR2I8r2Pu4TMaFfHHO/MpMxSzdnhNjsilV6RUQP0ZxpNWDOgAKuSF7hxE9V5oobeynMtEZA9Z/PfvTehz1enVd0U5rYA3InjXFA7qdrO3sN6xyZ0wb1UVVrmwHZ0O1V/Pj7i1hlJLdJySDl81x0oYQ7qu1Ktj3XKIR08GZvUgMD5DrMN3S911XaVlChJjX99mH2X8SUOY2bTXRIpJLfNHXJSW7uozimHO96nIk5noYl4MsDlauLKAt7iyAmYTMMinGL4Ix6WDNgAkGFhCtnMjIuZbp46UTOurHq67DYy8JPlw2tPix1nLn6i2KBmWGZtwpCrjZen/vqbe97hzGcdPjveQ+9nJjJ+417JV4fs3QMtpE4OV+CbTdIxcpkbOcc63NtHo0+hzrJKOHhizEKnlQuNCJY9V5D9nVVtYIDb3oFPCWQDnssIrXE/T2WKt1xz7YthDa0o915g6lCN5Jyx1Tss6stAHWxrS9tO5LRpTClxgeuU12zGspknr55soh5qtm3+ogLKjPFWiLbGXLz0R3ws8SVfjOk3/DEYtK8apvoDy53zF7A5BtvQN6dhW9nZ2aWhLgEZIBnZCaXsfH/M/TIr29n0HI1bzl0IQfERANgONIPruSsCMyYs6E5ItQm5suugedq9lFw53HBHVOMXICyc4XButOSLOvrGvbPqfS5iS26t6YZWVTPRYJb26ymTqbOuKQual52+IoqgXRx4HYoZOLymHHwbusYZOiPaAcPvm8hE+etIBs6tNteyJ+qXDU1S971EnVwMFbm7r6xJ4oonhKrBCrfztv9K/ZO087GjZHL4PsFsf5jkavWu+ZrtlqnCGxu8vZLg17nmY/dEo1lY3ejCr92Et7Z21jC0hd9yPOLwdXWFV2I2op7AjmNhVtZAbIb6ErjZvSfGOms9BnMg6+MdNU7kmf62i89NTA7d1c6kSpOqPjx0UKX9ElTm/LdrXYL9AamvDbHIxoFzSI0ApjTlsPzJzYI3iBYOU4mKGPaEg9EpnA0ocnqtYpeNos39Ppug4udseEAeD9POldZ3nGXNy43nN8LedZEz9TdM8v3lTki9YEM/TS27BF5XqwKw4x7P57FlhgyLmKTtzzImWFNgo2zK3AfcVncWWzdK0SAvkytiEzmnZXaOQfNgueB4xIIyeKtOKezeRZ4uUwj270+aZyg087HdvZvEXQdDc9DxFVuK04g5x6p5lJa18Fb10YmJ2BGOj4bGj4Q9Aw1xHNY3/nrykPdpVw5hdb4Ja9PaW9Vbf3OIG1QZAU0dX+iIPvKzy9hDV7ZTqbnPsTNndzDtNLF11+SFbkw8hG6GNhnSBpFepOS80Ej3e3NGBjxnCaLYbBliaCHUUhZp07Z1GDJTGRPr8aKwUVOXAgbjOJp/VIWPBqcECGZpix8yU0Uk/ZSVhGMxRiPchlheKcV8sHz10GcVHfjXWP19FtCyoz60mFK+tqBmh+9C6yqx2B5Uk+lyi1zW1Hrs6iJ+m4nHws/dxpGksfNjSMhopJpRCj7T9/8TXDtqn6GxXylKbqtvTo/wCThOJZ9zm8QSQNiQi6uNzhOzafORvH29DHc0f5wjF0c3dBtnghkDtuzI5qmLsBu1oVLHIRbxPCSt7WqDg0lcm14PeZGDFEu7rOR10xX2VoPK4fTj2rGi8BPCI8m3XynZ11O1pZAFps4ZDu13FLYnRvK/XGfupoqYkFWeQ8n9p83sIhdU0wkY3hHrJ0fLIDatW7bGm9t1XM1h5gKxMhxFJxW0oJPY0HGxbHCu+VqKyAK9ESUy8rCzBQ/e0/7z4b70xp5mya6cvXmkgPt7KN2ww/g7EbXMk9g5GWHob0a3lsiuAb6fh2oZc6d7lKSoblnbIKw8xtoGFZXZAwv50dHUDRzFmPc/ZxVQ8kvCj9SbB8H1/GOIimmKpKmTW3iJoiSltTDof1jOlRHtOE0PQkDkfLylnDwS8vCsoGEs1ESuKPs8/rLMnJsXpa/c7bQkBboNexYiJ2TtQK5fEK64LVhLMFcjtBKp/W6U1kqUNReDUTc1M6Jhl9RvmEfPi+i3LvbPLuPmkb+5QuJTi0JJYyhU1Ha4Y/lRRsuB6QTo7Alo4pOQFSJjLQtOlzShLtGRqM/JIMGMZStrtysY3Vg3sh0oOV+QMRE9bkpI/LNSWzz9oKQEnIM3ND0OcWHW2Fb9QA8jXm34URZLWmqlr0o8cuWBDInZMAN50X7HznQvTnK2zx1nB0mLkDEWpnokZZcxV00CVuftHfOGNZXJXMMtSHwWTXAKskCsitOJvovwf3llyiVpMyubrYvBez70Ql9jiXjN08fc5r9y+hdinzBTROYt07hmjthPFjTAUJZIz1ngtATGeKU07WRUUCBFgeO2UOq1PnOEh81qVjbcnabsOsRmP4YZQuKq+3KEgRJqpmes2WGazhCIVzNYh2DbOtn3oFDPedyvFXXF8JccPYEtni4tieePIdNzX5uRkZwXgS51UlwsGX1d2IRbV/Ie0Zy0lTiFdzvAXSNeh1VaGs/wCq6HlOQt5tJ0mLucbQqJ7qv/5a/UO9i4Y6v59mI2XZADtvYyyrOT8ylvCOhfiMkd7fSjsqKzg+zdhJlImcRrzw9kXbyp1Ny0r/AJztvi/RaS4OkPn7fxInQNJEruCa7Kwu3lw0QA5sv6p7+mrWa2MzRoCzKeYdZ3SWc49AZbRGRvWjkMm1Aw8a19jUM1F+I54xy6edbznyd2Jynrsh5hXLa4qd2E7dyRKhewQC4Yn9lIRRZSN4CkMvIVjV3ZWip58rH56mtrs7J4A6mxljf4pKV95gOT2rzpce6rDGOT42Pew3jQ3d8mESaaR7g2Udwj9NTgGZr4IY1SRGHrCyGr3LoTa07Z1zYRDNsQQhXOPCOp0xHYoQFlLPU5FYI/l5/UDsBxeWRBxUvqQ6hsmF3cSgwWxbZsvaNZX5ly6UoTqOq7KGtI8iBixutLK54NsfZ3tAUzE56zs2c5oLN7XWKPiAcTIf1/CC9sLa+Rac0YICiJSIXqN3mxjox4WUBoBPonavzWdUEvX3O122nGuMb2bhEs3R1UPJfOP8XQNmE77RoHp33A/mHS67YLF+bbHqGtRH81O7qbjTDMzCdEGp1G27wm/ZC9C+A3UU1iT1XFaZ1j0zz50FQ3jKjSWqyhsV5ZAJoKWoWpeL2IolFH0URA3uepbgCmtOwBrpXL6DU6Pw+otua3XmKaTH2wGOkysuMe5OEtPmILYzltDQ4INRWIRJzL+crTnU9JOx5t5CHW7XE/LG0wI/1tJM2Uz61wt6EW8eF3mJoHa0SZXNGLsbQcgTVaXvZeeIQH7WH+ur5nOCdqJOv4Q8z5GgsjQTDWZg8g9O7qZGN8uNkDM1pZOSYqOKvI+uF0XD2IxVNCmNSM7aVn0IaYM+za+3VJXvlYBmNHi7LWoDtKFwTSp8JW8VOdJQpbdMn5eD25uaAna9j8/LftfE51tgqtjL+j52cvi1pVEFOJSmjbx0x6jWmsb6aaZU9bi9gXAOZKRVrCNzkEPmAAdL3tV5sla1ha9dW0d2Qti05XzHvS8xzdWdOtDdZuaySTni/wCF97+qlzay9A0e+MKZ6i7yo+NMZfpG8bdlIjF3/NcnWiXPZZz/AGcYHao51nYV/JTIjsZR9mxM5TGT0UFHjkva1rgbIxa7qQSMm2NgK/gSRlMyMsYdLXxmwtdEBS2L266KsajuKyCDqOAtG8+Jv+NjuO+vubb+hqOejirQUD4j1CwRVrk9Mz0Mlh7avsUQi0b+pC+s2V86xLr/AI51VZdXcfzU6I8/uO9MczW55MRYB7Qd6kDW7LBWmmtCoop6ebyy20RP0Zo3GvxvXVjKCmAbZ0bkFkJDSVZC1FIurIKmTcj0QggQRXqpk0CBPv4haT1MzGWFRdrhD2V0U1XINRoCFcbX9gRIwjKuU2LRke8Ztrlmuduqfc6WADDSk4+lpzTchkTK0rq0qR9GA6DtARg8cZ0ICh2cIVrdvSzXQAj4zGCutRu7nlJYVkZ2877Pz23tUHsYqxUavR6urJCKNSq6IiL8HY+0RRPcvPRrjLn/AKyhbFDfZdV2ABynKA6b9Cup2yaZtol1nVOZlYDgaSqKyb+W175+Wlr1zvsVy7zhm0nnapoh8Pej3J+iytRRH422jADwDvDnHqKFTVAmlXUto6m69OrEF6Obga0r9s08BDhnpdVd9ERh9xVZeciJ/GhvTmNLAqSwaW1FiVqP1V0ShZdHdbUVFdR8uXVDXRQBT+nzdqD8IYgF0pPu3h4r+56ws7PW1y9CVHe2Tnp/5296cLakA3joAVsJbd7O+eHYGVXW5mPgHm0nQUBYDaecZYSwDWcvAv5mLqQqzqwLx++EDNFgj12DHviCTkZSNryLIXvpjN6Doq3Dr6qIlk1IaN4D8jToWnYxQ/os4QhtMDZ7LMkwY6pXQA0bRFdNJVZYFcRvMjit7TonjVcxDqyZZW2v3tLO6Ghy6dgDGQ7Zp5zYnJNVY7oB+nEFObeO5IR/jLWEuR0w8oTejfFEGPJHdVGtPXQ1ZofXp1bNnt5SUkVYVvaYPGMzas6Wu29PxeyEpiSCXiuN73v0w4+c2kWw6eVVfVXIF0la4gcyAdey8Gbka5ueILRR9ZArjTXFDnB/1qi9UD8++uri5iEurWDqtjxCrVkqRJuMj8iGt8W2XD95oli7azsVODIQqclwV7fAw7Ihf3py3pLb0lRO+qhXW3bXLN8VZ1/a5rdkdfKa7KCoZql51605psajlXzNMd5iMGQYciTyvh/G1h/oxHevawkv6HKvNCDyz84vqZ8z9C3aLXvB2R4RY4fJBSfS4kADvyoMYKtzd8R7z1YMXJLEl0jBpxu4BddvAVxrHZXyedxZhrq9ZWhCydj2k0/FjCxSzudjBLCmqwkktYFfk4uc9T++MYwKrqxa7uGlB1W08mHAHcNbZ2YvYiFiS96GYlx5xvAoc/rPhJqJN38cUpaNBv74W6qivNrliechq7q924kAdc1ztn3vsaq0ixxEd7EpWJ1p3DzHeJKn6qL4geSikQK8jsi1WlsQQVJWforz5A9e4Nv2IQHAV+dtJ0UV0fXlnM/6i5B6BzzjGp7qpNrASvySRIZ0BXs6xDI4imzCE04l9dofLyXF590OFTwS1lZ21wmWUJMfxpXl8UbX2IQioWsB5OKjNXZHJSDH0qat/XhcMbWDp97JaszGuyhIYElxU2DO0bm5o587rK4Ap/otataW75P6xH03b9frlU859dcin1fPkNPhm+wc2SD+0Yk4imU/WnXl1vV1r5aeUVTbogTbkbqlqQzjKWOSrQnUM8PZFpFn9McoXpg+WV6rWXx0bEoEZTRgbBh5QQj+hN1ZnNty1dtcTtVIcvo9zibBzG7atuoSkUEJjQBMaX6QhZ4OeexarGior50DEUJMEwcjRtCp6DwryKQOwIpvYbXkB+0q7vIenoENt4bEaUWbASV14MoIIgW3jsZbMNfMcVMjunoX5p27Vy9AUkY5lj5n39Dj+jh8GBM4zRNGBpSAHQktrVbY0qsKRGNNUTDIKRasfe3r4gU43h4FWEnLxEFsys4GOiXKKgDOAvpCW9+RL8pJrtBNhiJPSpqc0yINYFdGQcS1ucaoEuEM6Tqcpml3MqrIIZSbYKxVk+cCuwaodPQsV1vTHROPay7qr7QV/KJz0JCTO53N90QY2xREVlpmaQozhyYa2Zng8ZDGvt0O5s501zN1fXH/AFRnY+Y829NBAZwKQyTfNXTNAlBcPV9bfPPofn5qPAvguCy725y7XoS71JqfCMW/6MWdxP8ASb0Oh4iJen+A8bcSUVQxlBbm3mDYp1l2RW11zFAD1zG5YKxd9M2A6CMqA/Gw52JLDuzFHTehmorD811ZlBKw9UZGXI/QkvUkhNHY0jWJFBNP1qbVNNCVH1WTd7TxAYUCmItH1c2vCToX9tc2zLRtjmzr5jREP6n5lzJQmO0RDXI9kFkddR3aiE+pK4ZJVux5CHNH7RFJcltiNROCrnz8kOSN0LcKYiOXIEWj0fsImlhUIWmMuWH0iIEz1CKK5Z9dBNeWDLXo2RvS4imTIZJsyZLa563qp/K4/wBOiU7+fOgRm8zOVF0hz9oYpmpumwQ2YK8W4nD18TDDebll+4F9XmPatfX+SByQZQ9UWKNH9FnRUtgzFPWVUQ1dC9lw1g6rzB+WAyc+E9lVaS3dU1vRBTqM0241JiqFs8LJGVAedH06u091xWn0fbZHdBW1z7j98ah9cWC1zOCn5K8pPl1zv9UOP9hgeT/XQsZZhN+uePjavn6Tguf/AHK3pjoX5yys3fq3fHy86HzUlHy7qhCLIjsuvTik0dr9F0d9OCIKrPicx0mI505p+n4PGF82NVo1N5hpxv1DSs6In4mUTMdYin9a8OgJkVOg2tJSMCMKTus+qLEWgBS5KrUYSQkAiJyZIueWiju93CM5+ByjY7s0r0fxv4on9l8bW4BWcI5e0/eB8VV195rDKHWm0CNOrbo2etEDsqLjZGupHfIks2HleHDIz8c3vquTBP7mMWbSkKdCVlHNiO2N1ggOpJFtE9QvAX8Up1nzf1EDLYU2YF1CXxxcRpWkKsGpSm4aiSmIO3RhTVCVkmjSxCdU3paPSPO+xAKq5XsnHq2kBpOZIpRhOMsqoJhrfoN2N18msd0Ra5YxXUJQV30+Ph0iHdDYC64iHw/ZXotsQ9AsyFMm1aWzBOWR1s3PO/iAn6eeu6G9X8sdEdsAj57fUTgPpXSPclNdQ6PJVjZnO/RNnR82fFH7i8D18nzzW4roLitNNv8AuZ1SPbkjX9qn2W6HMHnmcAPmbQoDodziUo8WTRm92FXGkHqqP6UAvz1fwr6SWD847eIGvP582wB5w6s4Sw5PL2VN3wJRthHGHml7HALjB/Mx9EHlwOaMqtQolDbccK1FNN9UQLlA5xilsQD1bVUlWJG7tkTKvcx8kEHSvdWIHqjJOxkfiax9iVOSP9HAKHENdwk9QxfRQprhql9FLE2DawMZGN1Zl9lg8PUPigZyQo3VVKitI6xjgu/gvo2GHVVP5Veq2hc1/wDaL5G9JM7kqLoNDujbnMtqSLMPKJJq6e34THP3XdekIBepTq/YuHDyx0gprVOyy4oVIKl8TMVmSaPjC3K8vWvfWkNMV6TDiuj2sa+LW9kByaOvzYprcxjSQgbNIB5/FejedTH5smyKfmkmTBl0PA3mHxdTLrbJc1yGtf3kGcnEM83SUNR5x2XZVkRX54X0S0/PNlYjXvcfIogybq+oQfTBJSx1bAxSlS8NtLIGAQwXQU7HtdEk06GNmLniISA8st8NGQUDaJ6OMitWj5zjyn2Ek4LhKfH387bFsHjl1AuwAmhjjrbFunmW1rEO9xsS2obDuNZ0pV1ytH2BlTosJ3jg3WvI/cI5tAedT+z7yq5+Zm1oEWEPqOnOh6a044+2IomZkdvlc6UWJZ2Z0TUP5PHLPrnIH68+3ILoW/KY6CMUNW59H+gCRTEujH9q+THgq3jPGFQGRbDvxIPQujrFMK7rLy62mMmIN3GizV0itXkH0o5I6Wp/P2tf0b1rBagKo2HbwbS9mgjDsImbXsnlnNSppsl699nwyVEL03awpQFbIC9qDcgo/g56w7qs00q+eGsWJlNAcigt5ZgRFNYMRItjcFJI9NGPRa263je1OmqzswwQo99PJvO91y4m98bYNT7+TCgmZgA8Z3WlkQo6jPJRqtWitX2oMSw1R7J7RtBxZvaUxHMOwt9BwZUdGzD2vdHBthynOCghZI5J0e2EtZqGagQo4PjeAWpsbBU95URbZ0BnGrWO7TU98g65LZlulI38Rz3VJWxnz2urok/YqCMbrlAnBE7XwxE22ImIJhOQZhpA80UXQEc6z05r7hKt0Qtr1qICTX9aPGdcCS2ULA2Z4yuvbOGDmh1bX5FXUdzwIEMOl2x1r7ceQAGNv2HUFc+Wdag9ij6PGbjEaCTaGE9Ueo1gbTdkVB6GKwNgGzLYaZFz+rReRzqD9c5OTI0RQMnYZ5so54JHCsO9HllAyAtn2bz35lrOtrWK6Y58qCg0hdARknXpFz8Q86eMay8NlNLN5tpR8PXgJWtiNktUH9TErKFvSrD55FxUmIvyRJEgh2YTn4vYNRWEFuU9WVplx1USxJmBI63h1vdkHVU91SOtqfNasnjoQuIDgPoAYAw9HMNT5GPOZD2DT08omRR6mHvji4Dt8aWth60KwCkDJG13xsVIuDoHkHlY8miC5q9Kjx1NAGxxJCDdLw93tc0DMZGGK40lJcaK4NerEMkuWLUMcdY7LpuMqJAy025iGoWprRdUBVYSBHoj6OTlnD9yH5DzIZPDYMo4HrZ7F1C5e/g61tCr6/orFxc6M4Vs6pbg1AchAenFMQDh9/mtxAF6z55XmQ9rlV0Zi25Wge1I3CWNDxnQ8XoAhA9lpbC3I4NHgBiygkCJao1lPN0O5rz16kroNI43fgQ1nBRpK8oq2Rj2xjrQuHS+E5DHE1GoOaj3NTIXKEV413GdQVKTYkcxPnHSK4FLJ01XKmnrLbH8qq0qdoaGO2+bjktux4WYtmUimrO2wyugGXnXtTF7pbnlBE0F7Y1VuKnsWWeZ2EcSR8l1l0LAiFwHSNCKKEFFrPH5ISnTX9xjFXRUtY2GUxtKkr5k9K2I/DxHhBbTlsdWuEnvaYMylm1hDCBSekqbBpewZ/NL17L8MQNlFZVDP58SSXC7A1VhNdSdtjMrmwJY2g2Ov9lnNxlH6SCLmfF2FGDYrCSC9xkYzoqBywKVromZTnIWBj7bnhKPFMdF8kqxlbUOLKZTohVTFZ83L0DOw43UfKWIYu+mDURgZd4TPWTbipgnFraHn8eNR/Jktp1MdEEw8bSOhLdmzQ/oDqcvDWZeH6e1rGqyx7A2dgJCGqp4iPdqn7MOme4AiCrY/rQkKs6guCtvY8tVcHO1p63R1kycPbxkU5NAqPtbzMoTGQelIScDyqd3PsgSEt5eOqnQ6H1rxu8aaJoie0OZiA9lSWGKCBdWQy0dJbDJ/IuakscPNcZa0mXHWdedCVXAXuBrR0GRUl0TkpOlmQNxH85VNWdHxoTGBn4YRIyHQ0Are9TV5b3IdtP0NRJO4Y3o3k4mexs5y6T9p4dWQlhzEasMUJwyjPchFmgx6EC03iZ4LDqI331nI4QPZUiMGGMXiYue7qsGVZLTEPes0b2hdlkaRSQCVxsr+RRdGvg3ATMklzeS9d7qpNZeVYFcXWvr22vFTjjSFhVbaXHwx+PkEfMxcqXvZgOLPDk2FSSLrZLIqI0ZKNnVtrB0rOe3hO+tBbOMq1saxHv6SqIMGfa4HUcp1jyO8eKad0OzcuL2NILUIcLfRB7LE3jWmCYuVo64DtEj5DsPf1/R45VURcjWJOVAZZUi6ZerJTCXZgAx1WaQTbVDAQ9jyQRUV2gO9AqA/DiOzgsJ3VhfA+2KnOq1rJR9/AbzYLnnafL6YibYJpl5hhFquYOgjPn6XupTu2qMsisl9StdT0fLJa1vNSMk7CpSSjbLk0U9LbujN4c4pzO1Pa0keeceyB2xZxKb9UTRM9BWaNaguk05tDHHQXPXUns2JxWV8wiZzltaPhYykuwuzbwI8h2lwVO9yVJ0fnid6N2sXMU5auGwUZC3ALEIiKAosopTAOI4XjpS3Kslzn3GT8vlszbaE6oAxG2oJ0Nkxtu7x8jqyGLclFeIwng1+pZSsHzAxh1sDrCCbExG92CoqV2S5EMOC24BCKwrH5muVMKIF65sIa8Zldd1Ek1AZcCOfaYsxnaKQxdrDkYbjl3VT1eynrQ1AHOVhXJp86uOTxC/Kvv5Zrpzn+1qIW+d4qVeQ6aejm4/YRQ3Kl/Up63lq1vbn+5t/W27gdaRO1soKPoSbK9BcznLUpoe86lNm55fvmHodE4Abdib0CoNlvZnj5t2XSBO41I2fsFoqwLyB6HSQxf05Ay6nGedm2IORMcdMvq53sFr6K0nQVa1scyWMHJ1HDgiEK0zFThsDu0tHP1m2oxaCTg6P0DKyma52U3iE0byQka+escF2Rz7MTwWSHSQexH1i1CUtcCgnQWoebjuwZkht2x1e3RJIyr2xwIsfPDW4cIcQ2UHVvwPsAOqNhFL0njka8LV0O2JoatlsIOipUFS02J7GybpYIOYG09B9IVpBE6i5ghMnE5WsSIN8iSDW4noq/iq7s0TwMVMTwnRzDFYvZZmJSdatujXJ0LoArid8kBKOiLEhsta3PL/AK+7RYUrZQdH1bvJOuJrP8yFIWEvLWPPNruoDPdVNMQDXPAXNaQ4eS7DHFgQ8QPqx9aRliUppa6wZCifWoDt0Kqxtq6q6qcOKn01fSF10aX3Md3uKqj0jtxUJiLJfZ3UtseeX0zT1w1abY0NAXrLaaGrzA+I1R05WXVXNE8VMoP8ayGygttESjk5pRj5nL0ZVF5jV3iQm4qXtERIfstZgIU6UkIPW90xqo7InHB7x0atim618FQd+86UjSvpzmg8lZcyibFn4IGoq/5GYS1SmpUskxfuGxgUNBCVd21BUbuYmG3YapXkfWpvQVzO5tqexyGFtfWKxEhprAGA/VcsuXbBQ0dnLeKzNzIEyG5yOQw7C4zcTLu/mUIN7NcY88fUQDmi5Tuy85INvCx10gR1BHJni7xUaUYhlWt8+wIbXu6NIGTCs6ttlOWlNH8tWw+XzJzrUhmc9G6BNJjouQbneKtccBkForfCVj54VsdyX3iRdrP7NnDtwk0jNCUlNOHFTJ0aKhdAZ0vsmx+BLsx5tq1y4irdhCY8dZyZnd8ZyU8aMbBwzG62mvz1VVg5g2AiD2oLOILjoYV9Fp7TjBci4wI3EmsrgsM2SLHtcHcbLR9P7W5/sPzS6uxpX8vjLU9dBrqtPIfEFHaSpnaBsCnpIqHGZaC9lqCQckh23GFYT2OaCKyZyt7Sr+yE3va5yZ4sKHnSInbgJFczJkHSrIA2e165WGVdFArETzbvGdF6Bc9nV50NQTu7TqAhuZtYxcRioqKxGPxYIVk+DgoWeuadMQNMj/RUbuLzcasjSD3UGw5zni6SsuVGZGWIGvCWcWqkckY81XRJlIlOGTGwIlhouUTnNbyyBpqt/jKvsgBnbDpYJl3M48PTEpzKbwvsadqeRilPGcnU5D7rG6t5wUXYbfmWzIo79CloFHKWO7URMwrewq/tENaLSHYOHWiHsCnkE7Jql7Ytseh7tH0PE4KRGnJuadoqXhKLhwe1tRPMCNoTvrQH6f5zYwVsGr1aBdKnfFlygsEq16jqKomr7UHtJhyucrIpsxLUciec4QRVURBx/R8RN2moEyQROGwHEiI4gViSoiemMHgWwhVj4eXJJzL2Fe6UJ0hlpzNEsJudKPOZbDH7blHWlUkXOZnJQ99QqNcFYwa9V1HyTTUD7T0eJB3n5IF3Vmj7IRqgJ4gcJ5Mw6rrdPBzOKKqOy6rsYIR/IlcXKtoTqentAIxuqKswGbEtOs68mYsnkufkeYCp5Xc4lfEMvXTB7lY1G9icyLoV++QGYtjI+IiHLmrYKIujAmsJedLCMfKSQE5CJOIJRKbhHkj7pdVJ6eXPwlrbk3l3pyReooDm3Vfvm6Zq0XGxoymkCoTO5IFNYzhrLW5g6PplzOOvdlR+opq0Mh40SsMud3jUF07Nx9kVc9LvjmOzzmVhBVg8mdV4bDwc4yWNZN7RiVC31kJd3OfQlTmNEjkVsMEsg3OxwJT06CTNb06egLlpNa12TjFtB6sqr7jPG6H5BvqhQpK8mrOHapVJK3bLZIin35pE6au8gVxx9hGJMGQ3L17AaWdqHHxsJ4sYLtt6o+jKIoRl7HlPOLn1IOtXmN0GNLB00stCcw9bco+qU1T2bTxl7dQ33gWnMaZtiShhXPFQgmB92EFDptA6wJ+XxJeG53c9PH9cVcqrVAHdPCiRsppGpBkkcokSygRxKvGJxFKaE4mkoZnxmkZ2HotIImOm0qqG164SKW+PSJD3BqUiED9JxVvjSVeysBFK+A6ZgkoDa1I0p1BeUoSpB0lFFdFgJB9qo2SUt4V0lcEDNQJQkjsil0TeRJRNLeS0r0SbNkox9NfpQMIyxKhn8maVSTPVilKh27UgJ25WlZjVpIpKPwOJNdMyqR3CNok9gCPpFCl+tKs5Cv0q6eEG0jZQlilsYzPalmpy8vS8juLbLkvAL8JqFL6KyL0NS2dXV0OlrhW+pKNlcRSVhBa1yJY+3IvaWAtXmUoG5rhIuOlarS9gpIh2lfwn9iJZEsxZJUk1fV+lswtUolI0+M0qEmCwlYsfJJ8v/8QAJRAAAwACAgMBAQACAwEAAAAAAQIDAAQREgUQExQgFWAGMFBA/9oACAEBAAECAv8AdT6OD3x/uB/6Gwfxx/uxw+uOM5/2znkH0P6YKB64Yf7Ryp/gH/obAGwNyT/s5/g+wP7PoeuMf/Y+cH8ceufXYH+hhxffBT/YiB755Oc++OAP5Y+ueQco3+x8enHHHHB/gfy3rnnnAQaf7Nz7Pp8HvntzzyTh9nOQ3b/WeAP+knCQMY8vie2IcNj5zz7Ocf6sfRPPOc/9LBfZLYPUjzzjJMY+cfxyc7f6qcXD6AzksD2Hrnn3144YYvpPfGDGZQw9AMOWwFf9Y69i7HOw9c504/ohPRXgZ257ejjHlGbOpwYP9W55c+uvCqPRzj+WPZQMGFuQfdBP04YlpvyhfEVk/wBTJ7YMI465x/Rzn0RhwHlvQ9dcch/TLQSUhSVXCf8AWOecHsf9fD4ycDB6fOpVD6dJhjE0IP8ArXPojkH1zyP7p6YcD0WxsU9jjYuNiGhBT/WjnAzsc55/6jkycqUPMsLY5R+c54OOylT/AKrz659c8Lh9DD6XB/POJjZTNZqMScnSklwNzzlc5CL/AKrx7P8AXPsZyD65JA9HDk8rgzlpTa+LhKqBT0pb/W+PQ9ducBIUc8tnYHK42E9Gzu2B1eqyLmhypBUr/qhPbt27ejnPI9MAVbt9Q3Oc4M5vjPlc16BuWwul861abbAGBof6MP8Aq5zklm79+3ZW7Fiwznt2QuOWKULA9vXNPQRhrY0e3An1dZ0u2ulWzjX/ANEPof8AVzyWZifZUHku5nTDnPIL4TzJ2IIPsICSmvyyiZTYmuK9RrO68pi/6CfR/wCo4cPrkt6Vfn07D0cpi4oYZytWxs5THmrLnY2WhqpOPQMcL9xXv9LXkGxsDTP+gH/o5/g4x546qrjDnX+D6OD00qZO1FxX+8gTwZdeigB1lnDHh5CjSM5ZdXwZP/QThzsCP559sWwMaIaEJ/DZxnOPZWbKPWvaV3U5Jmkmc8l52ZxZmQc8zpfZUTyx0lpnK44/9jnnn+jhxSP6555bH98iwYt2/kkrWcXF82InOZWOS1GQYHAdElWSRISu7adnTtfY18fJNehOu9P/AF+ef+k4+KR/XPPJLn3On0wlSExse0dr7Ft0957Pe0HXlKw2VcjrhP6S3Jw5s6n43ms762uKoHxzrtc/+qfXP8j+Dj4MX+Thwnu1O3PbsSk4J6Utj5ay6+xPQzYuW7S2ErRKyJ1UkM5at7hb59+aa5PJa+8nmFpsMpyuRxf/AFOeT6OD+OR7JJbBg9c8842Es3bnntyTLZXY+rZ9lpva+yNHdNtgdu3bslpbZy2vO095dtwVpJI8UE32NpGbNy1aiXivVlZ3fSzj/wBsnkHnksW9A89u3PLHG9cpL835jG+u4+grEVtPb6bXitubq/jc5557y2lvSdZy2tDKJ1z7mlqufGFB0/CZ6itjrsr11U7f+WcP/Yc57c889+/bn1yWLdu/fvzgl+VTt1nsmjvs7Hbx7b9y2rfUgy3yGvWWzqup9CfzKRJwQ+xdDdnqIeRfx1PFjklb5yWObBgqf+cc5555/sknnnnOeeeeeeSee3btzyMe36Wqm5ryG1usSTFvIP2B0dr41SeJbZhaZCjPHpuKuxt76U18vkXI2NSBrqaunPC9HpTXuM5GbQnRNhX/APLJY89u3YNzzzyTyxJ598+x6OE8k+ue3LNQ9xvau/sSy+pzE75xMjkXCsglWxpfxplwlUzdcQ7wZ5ylDYBvBM2V67bad6Xc61Xem5s1VpYh/wDJ55JYlu3bkHnnnnnlm/gkntz7JY8884c57FqFvXOpSOvtCmtKG1H866s4oF90BlNXlTTvDxmbOrq62Sp9KbCQdnfsUZ3Tnq+/p2ObGX2g0mk3/kHOeWYtznKkYCTyT3Lc+ueSxYHAecONhPPPPJbt2bGxZppy1550aZWqCfRUCj1y4wE53q+tBafpbY11lDd3/F7c60Kq6sZZtaybfm/HaGwTcjUcQER/45Jzty55GcHAewbtySTzzzzyWLEg89gexLYcJ7cli3PJw5phE6DBlAVaYXrx655wrxR7ERhVldWddhNvyb6VvlJVW+PkHa+/Hx2xq+JkmwrxeMMn/wCPySzc42HEXpSTMK/UV7lu3PJbnnnnBnPbt37MxJPPftzz6bNfZlufcEDng++SWpzyGzllGu2qkNgnasspbVNRp6rux71uwWdW/MsBRb3r/k9u0Cjf+GcOHOzULqcbAJLjDaRn+yUWvf6d+3bt2/jnt279y5cn3znJY4JTiuTstiwbCxYuXBHoeu3f02blU1Xxmvb8FfLx2NPb39jumzI+Znp7bvLd2lqZW5jnb/wz6OUw+ge2AocObJomKQ3f6B+ffPsknt3LBue3bnnnntzNZyWbTcSrNwMOchjq8JjgOtDQHO1F3W8VbZ29/b0dvYyRglUtHfv8tVt6cNNo2j4+9wuTybyf/wC4nnn+XxsOHO3YZN+9K1o2MB6LFlKn3zzz2J5J55555J57di2LmuiL1OVDZCiUwgOavgHdq32q7k9s4Czo9qJ5DxezsN4OwvLZ1Z9K4dNvBfmTF12msAu3g1aJmr/9xxj2BH8thw4x5B57Gv1ZsI6nCvAC4DnPbnsWLdieeeec5J7BuwM8gZnGypY64+Yx3psGeFPg+v5FTtR2d/Z19pir+StsrrPt5qV8xNH8btDcNTS9lK5Eudu9NpBNdgvkX/8Aj55/6Dj+hg/g4cbCXJPPPZm7mnftyTnAGc9ueexbsTznPPbn0xJ7dleZk86/Z71q1pbCbk70TXhxwXZtm09rvqU8tWFdzJvdNgeTza9bmeO8VpeN2o+I1NrVRHj8bbGttbWaWUyebL0yS/8Adzz/ABzz2559kkucBVuefRDq+MQOCDhx8PoEHABnXjj2SST27c88889uzMzdu/0nadVv+hrMzJractT4jDi3ayvlbxPmNTRHl6xs2azXEtnzLJ4eP/Gh4XxGiZV8WAWQ0KX8ofHWpkNaMBK2ldddv+05z25/nntzzzySzk8kq4ftyMONl1/jjq6somJ9OFHHs4cONhPvnnnt27lyxPPJPZbLsas08dLX3sj5LX8p9ftfYjXyiPfT2fLarDcHjl8o06U2BhGjNnc/5bT3KmRVe/3740dwiMCZ/DHN8+n/AGksewI9nDhwHnt27ly3Yt3BDBuQxJNjnPPPps6KnXp0CkHCcJJ5YnOcJ5557ck+ieefat4TZ7DHn5V02dfyNrSpohBeKUy+eNbV8FtRaPkttrNsNKTXa+au6Nue1rlJHT5+uxOEhPWomxXYhsM+yv8A2nCXblCvtsONgPbsW7dueSeQQeS607s1GOMwYEY2EjBnODBj42cHGPJJJPo+yeT7OHOeefelsx8wu+2xt6ddJU1bLCdV29vZj5YT8jrau/rVOeLTaPi67tPDNsePpXcmo8dP/CrGQduoA2ZnYh0ntUHMjSnz/rn2cJJOPgxcXOeSSXPbv3Lc888k8rgPOch+7YxIChAHw4G79w4JZnLc8t7fOc5P88+jjYT2VgfYK1h5JPKtu02pbWts+chq+RXZ2tfw23sDyPiPA7Pl9Xw+EeNpuY+aG15GWtWeprycwyQ3TKtK2WAB2Umi5Wcy6BOf55B9HDhPLelxW7lzTscbOe3OMeS3ODBhwnnnkk+hgzl8Y9u4OBmZqd+3YkeqY2c88n0cJ55w4wZcBB79uRnLMWZu3bV3tPb8l4PVVo+P1dxv85rN5/NPF0Jv5RPLZo0tOk9PcXZjVUnm4LeQ8fvR3/Jb81Zaa/ZyApA/k4cGc8kkueSOoGFzXvzyx5/gnDgxc5Zi/f6d+/bOe/dnY9QoXgl3L/QV+vcN3ozHnnnnkknOeScbCDnPYOG7F+/J9c5o72hveQ8fr7TXhPy2h4vxW5qeG09yt5Rn5bx2qK2IGO2s9TqW+vmNaDbE3hqbGNjy+WAof5ONnPbtycoffJdmLhgxfn+D74Awl3NO/ftz2+ht9A2deozkl2dixbt27/T6O5wnt25w++cJBJONh9cg9ueecPrnNLe0fI7/AIxNjUdW8m3h/JbOa+xbU09Dze3qZuCVOTCKVbQpvjykvD6d6ar+PLO+I1cfFCf0cJ5JDckueQexcuWznnnB6OHCeRg9cuzN757FjTumKPZwsWozsST27F+/bkknt27c8+uThPbtycKkez/B/mGz47zW5paeulN2ZGzv+V1BTx+/5fNLNkCenqLqvr/SWbmxqDyWayySIJJxsCCYHPPPONhwnt27s7MDy7mvftz7GD0SxJ5BDdmZiV4bOc5Zi8yh57duSzM1HdiThzknkejjejgPOH1ySTgPsgj++OOPSnwuwk3Ca/mPEiPifJ+a8ZBqJpZfJ5oks5r414eUzQrtqkpFAX+n07p77fT6A8ktjN37hmOclnfnnt27cgggkli3JIbv9e/PpsJ7FnftJp+motQ5Y42MGzjgqUZeB6JOHK+h6J55J/kE4cOc/wADPn8ml11fHw/4p47xpzarrbocrX/jep4/ZhobLR2snmoyF8oUptxRYWu8iWzlWyQ7F8Y9kfsWZ3fv3VsbCzOW5557du4cN2Llu3JPPbnv37Fnp25ZnOSyZJfAyP2LY2NnHQTdXUgD0c62UqPRw/wBwRgzkn+eFWctXwif8ft4nxlv8nHyPkd7Z3PHmO0Ueu75SV9YbE9hJx11gfI7UdqO1J7bXi7NNESN5zbvLGr9WPLksjdyzMzFuyHl2Lk+gPfYMr9mYt2Ldv457tUthxifSYh5Y8rT6dgNkHB7fGw4PR9Q0aaVtca9VP8AHAHBBGck+uFUL01E1qt5GOeS2LR8W2vHzPq25r73j98r5LUk3k46VNlIiUyfItCks2MeUWjU4aa9tybZE1Wa1JalOwb6NYvjEYrfRqc5x1C9ChB9A9i7U7l+wbnCSWYtz25PtSjF2JwZrrTxya23q1C5z2erV5GcHNbVnofkTx/llqwH9nGznOEn8vnPX1/Gv4ep8RX/ACIXd1U1Zv5bbd560NHV1ZbCU2fF6Mlh5jNfa167DeQWWtJnyza88SO5Lx25uua6pJV8OVIzsaEg8vgwsaBgfQwZ1YOD65JJZi/furhzQuWLM3YMCfRzlXD8nFzSTWikunlvFDXZXNAVXJqk9bxfj/GU2X2ZbG3qbsqA+xnPOEP6GTWOuPG6fiR48S3t27a+no6xs/lDbY3F2F8MuqH2PI6O8bw8iK1h5PSTNI7Jok56qBfy6ejTXV/MZra5TnVNHRCXxs5ZucX03pmLqVI9DBnLM7M3PJYljz77F+/csTgKtycJ5DBu2QHjYrJ9j9uvZ5U8SfDN4R/+Ny8Amp8Ms1rffR3nntaFPD7Goqc5zi4wdfms4JpLWsfIPs18hY63jV1tvdfyerNzuN4zU++1r7O0T4Xx1k1dmexoeU++743W09mHSjwuuDVlPYc2RdmVoMNd6nq06Cgwjjgeir5RhiADOQQ30Z3Yv2Lckn0AAc4OHCeefQPPJw5yGXJ6+nrS1Nhtmn20GD9uS3cH01S+/Nlg2luB9ie743yMvYxR11fGHwnlvFZ+z9096O/UQjPNm+wyHUx50mmdU2N7RGhGCeK1dNPE7kNe6bKW2GRfKvG86rt/o3NqWx4zYq/yqoEoc1LI8TLoV9LjGjNihMHont3+jUdjnJJPb2MOEnDhXj2M59EYq6mtpaCpQ7mxbYlmpLqW5JczOcMva+bsTbQ3ZXyqbPibeCXQOvreNXwD60vNeY8hreB2fENNl66rxj0bY2NitQ3il2sBD/Wupp+C29Vn3ttZbe9W+jtca72yabWtuLGl3rSraGt41bVZzhzVZs2Dy2MDhBGcs925XFzkknuX7luT7I4zgZzy3vj2c5DDEl8fimp4/QSAbbvvbz08TrdlAcu2VyWDPqdugfNvFdj4jyOcivB09jxSeL0dlbnPOaHjd/8AzfkfJvhzUjq5Y3peoAlo55HbFVc00vOjybOsjC9NzKJoq9JEts64vWX5txdpgmpHXyvoZXNc80z6/Xnhs6mbB2ocUoPmyMpDN37d+y+uOvzKYfTHOcPrg+uZ10114S1Em1XpMeZ2JZqyhkhs3fYlsyvRVF6bNhtaV317R8jNaa19DacfaFlfYzd8bqbV/Iea8jBTs9vxz8XDwTeOFL5XHCnWH0o8daWk2r8Xe2BtTyenj+I2dHWp4auqAA27D76mzu6eznjpfU47jAKxkso7GD0MJLDOtJ/mbSbRTVTXWbyaLJsLzzyCpwehjY2dsI4Po5xwUdRktXx/jI5S4o7rhby9bnx0taBrtyfWiuqvUJtyL/S//JNLzdW3daLCXitr7bExsPuya7bTfGr18iMamv58bfOwnzjB/E7/AIrmNbXisMTKMxu1MCZp7bhmhZ/HravlHxLU8fr6POzp11/KS45XGYn7NjwTBhxmAVc46GRiZYGIbKLtL8/iyjEwDOexo9C4PPJwtyMXOKQMdCelC2wLfslIHy+0GoulJ9jzXmho6FoX0pfL52TehVP0dYbuxs7Z7wD4LffazW8jo38+3gPJeR8eBjYV8JklWa6cg7+V2bAOKSpPY/dTffeN0HUgnwe//wAg1tF6bPjNzbvp7Wxr6+x3rCRbKXo3GAtlQgZlmJ1HKei30V/oz0q9ZMXdyTMa9pVTpHSlo/jpo216lnTIxfSrMknsHSinCvhzuV/Z+iOfrhseeMZpmveuU8B/gY6+j42aYcK7evsaa63y2UTNmWnXXyzd6W/V8PHQ86OdatJ5o6C/8f8AHadzHYpsIcpHzeqx5WojjMToaEPFbUfj+NbeP8zteM3R4V/NKtI+UjuzqLbddZ/p7Po4uNgByzKgDM9O4t+htp7domjvUWF1rWjJ018T1TNo7OcIuj621rjMWBliHkL4tvKK70v2zXPlJjNN6Pq4dlWhrwXhn79rSsltd0DNr7sPHDRG2AbRDpTRfzGucjaQ1/Cx1lci2bAn5DS3HbbrtvVMmvjd7yev4/wUdRt3YkmsuodSut+TTj5fwOnp+aTnmNvGN86DeyYVSnbspqqK2DKUd552d+Djt9AcGTymPjuXTYWq5Yy2k3/1W2rbNMWQilV3bbFWbOq4uArdK+M09zNtFPIWVNnNx/Ea/wCamTzVyOd3s24u+vkf02XtvTkZNtw1E1TTZ7kWSSaNN90008DDWfyG1v8AjPJfSxYP47WxRsat/EeR1DOQ1bf5Aauv4n834vyiH521hqLEZbR8lqW8fVFOjsZEOgj8nFPfdWczpeefQ1QfFktnElZUWcmlsTc85PO7UfIlDs+vmquzv9OvRpdVxcY5F4bCSvmxbVTEW1dsf8dVzsHW1KHRzZr5je8R5H7ae3q78djb1lr/AIqyNsMUL4job5A6g8k07jzex55d3X8idHxk1aI2Ytr+OSmLHf0f8VTxk9c6OroQUt9O/wBv0i/2XYOM5zc8d/h38XP/AI9utEriijUozr6IRKHlH2VZhSWAPO2s0FXpNAGzayw4GIaU78rivRuOrtShhDTTTGuIWhUfY1Smq+ps2vlTJtZLOr+Uzwzs8tYTST03cTxtNeFToaElMrbGN5SPlfIlKUw2Dza41IQTy08Zj6/49pnU8XsmKYlKRXXRRjptZKX5JxCPshgnHRYJL84bs6pWlNkvk3pXp277DUebnBhxTUcZbKshg035YXXuKLZbs2wz4fQarB5qkFh8PiIvrjSGmIPLj67FNmpfsGi2s2vlVZJY1aHUXyzaW1ol9j9GrS4tXay23902dZlvPKz8vCV9usXOdVzXfrCQXd33bn143b16fOG58Cv6F2Qz0WrRhisabG5ba1NqdTT6m1KtsPqINrYm+15anlMrPZOviO9mq6OqvLKzm1GymfTYKtKybP3+t3Z+/Ovj5bGxsZlLiawScuhXO5ojpnztPyOfeuzR85DTeW14xssgXhm138kdR/FXtta1F2Ni77NW+Q1hNcFEr9vI7Pzs3KUcBEM8TNylmzp06pn/ABu/mYpsT3v8k8axFobMMoCZNSrmk1tLeS3ZZU2rtpk33BqDzMtSkbZspr5SVcmmKh1wnFogg2aNN2bZ9Y0DK1MuqNISnUbTFmYmbHEMKTt2rSlQzZrTgM2H22fXfRtrFcAXIN4zZfNmSAsR28kYZ4rPI18fuG7u70pfdO+vkBtJX718lRdcbRfPF7AkZzEYXtv7T0ULMRM+mnt6W353RjZCrT2XR4a1kfZE3tisK2h2lt61LKNbatqb2m1m1R5KK6s1XOefzy8eNHZ1VisTLlTeYy5VtmrAiJQqxy65Awy2bz9mJdH5LQeGJlsOSSWumusnO1eryk0bwvrmXXFbWbS3KzdPk6hN7ZlmjXfSeJtz3732Nhs44U69NrZ1ButPKocU+O3zglba2tp2GQSchrNqPrvPxm/tQ8j4qeymymwomxrPKa9CjPN1S7J+bx6tGqbOxfxvh7+QeVtpp1Fu/PEaCxqKdT621WtSp2MTLqVZUxDgZ8tmrkTtU2mGOhWcwrJEQwYwdDSO1Ov029na3EeVG2aUoGRlbAUprbWl5Mh148tsnONHNgmN5zzY8bTROt+ZdSPjZ6PmpeO16Z2rY+kPjdlqeQZsOIuskZpJ52W6ovitx08pqq+q0AFpDrHb3NNMDEWija+Sl2Oby6mzra/ldWensa+xLXoGoUD4tUfO5b6XfGyZsOtQUYZM8hneuahmdt6ZOI1m0zrdWwNr3m3ap26Lsam3+re2TSJNTUHHDK6gDBk6eMTa1rPuMAM1KbLa+QXd05Qto00/xx0E07J5RKjaRmLjOBnjlA35uvSSxyBVna7Vyc4DVbzKVXVOtRMOVyuR2X2lDoW66+oFACbGo3iJa7p8Wlt60tMas9QyaT6wzt9O3bYcNk8qcfOrp8xPqcbKZqYrbjZqosvhTXOtaBnpRaPdzedU0s43cVZl3UclyxLDr1zSbTbfpUXmJ9Zi2xF5I0/DvSZgsREJvVVlhvE5xwuCGlNk2A6FAEydU2n267HM8hmrfdy8ZpB5X+jHYyt47SrJslpTAAU4VAVPRFJmKS6lerJbDRX7cMvwdFyhQOODP54cbCXzWznYxV1lB78Ot8RNdNg4cphjrSZNyLDupGEls4+fyK8a66m5sPsCg60wr0+entuviMq3aZJRvOM9m8i+cCfTjTyeXyxpnbA/1+31mvzBlsLs0o+cKUadC1WvJM0mWM9FdILzhK+h6OFvQHBxy1djOFj8enBGxilsVHxV+ZDAq+c5FCKgTke/1WjZbAZPV8oSy5Jc3cu3ZGDzSeuNN9MQdSOsp6+q6Xa8mHLjjABT/jRqxMspkc8vLYU+uqqc66kWtxVajOR66ykk2m4OCqVpnK4uTOVnHV0fEamp9MX0cZyZPz9RR2Z7UkB6OHNgRqp/Qjt6c1yWBSGyWNj075ZeIpOdAwwN37ScF5dAHcGmOYlMJ3a3fkNPI5rqsm1219ifRIThpaXksotda2v8G9ccEeEg+HIY4RWXybcYoA6KutlcG1Rqgr0Vfn0liY7uevXl2Vp5JJeP/Miy1TR8YSPPc2vsfZXV9l5X77CokA2d1ZyH2degqNfGPLCuJHHMYfOi0mwm7K6RmA+Ph9F+6UnUN1dHC5XHyOKz13GoMUa00j9Ybi3rW7Lk11Ya+p5VeC9YV03SrjOvjtTrQOyMmICvmvatwBCcciuDHTp0CdQvAJX5cFPksJa3xjrz3bWns/o7QQFcOVomcPOR7dkTGKlau5p3NWadulp660C51pE4TzLC3Bm8niAZKOzF8LOwxUEwq4uNjoVrnAH1L7OMPn10wM23hdNh9hqIqDx0CN9i2plZWGyrL14/41qNmwoIyK9fL+bbAQvEiiJgyswFw4RgVlAASQkZNL1LFn8aRrbX22HZVUo6UvhWzEdhgzhXq1Mhft1rgbDgDNd9bGg81Zz3bOVx2UljRiudDMqcrjEtJUToTNkx8OEUHSmL6vnX5CGrOibCxjwSijNWWuGXbQpGuxsHYqvz+JPgPKUNs5k2vnnfNDOGVcGSVMAyi4ob2PXVEQAMK4+DJPInHNRxrbCKiPiZwAQzSPBwYTzlVjk4rmwqT+YmVZdx/HVFtodn2JVLdlxl9WItN0zh16XS+KIoooXdKzs9O2NjY6fI5XFQKk9WDat9QarzM1GtDU0zjU2XsLP2bHyh6srN4LyNJPCU93Z5XHCn5zyaZFtbW3E6BSgj8vmE6L6Bo7kqEisi2dqlhLPHTZDJPUmotJz1rvrkwbHabl6rkp1KYAEeYXyuppIildqdc5Hqavlbc1ziOKexxcurw/NNcuWyQSTYrlsKqhk8bIAMimqmbI6MlgM8VrA1ZW2crj1kzJTAXNrfPXtpebpXVPmt5V4bOuuPzvljAa52cAVQvUzKcH32OcAKnXt3wrLNLWklLFynPYYr9zCaV9MOUpGdaRarSPU4WI3K67rj5s5TOEE1jm3gwZTOJegeys+H0FbDhms0ywXCYzsioifn3dUTWchJ/rRvpSl6ai60ua4gvljca9O25iMpaQk8usdvc81I/N4nFTXgdapmNZUzal1AXFw4QVYccEYcWcwdb8X4YRaO2426WataSr0yXqWGWxZmXL4H1lkJUnjrEd/15xsThILRtjK4qh0EM3sjgDIwQ884MbDgGFfn04xyuKB66IqDajTV6ZLOaMTWlM081rmj1aj5VLr2/QT1pI+trNeGxtB1aQymESOq+/rTSEp4S+ArnfuM6unXgjjXi1J1a0tobGwzZRZLOXwKHXGHOKZEu1GxTXHgqrYYzpiSpIauEu0sOUFU2JAuIUk+zmsvCz2kX0uD0c4zlQQmdGDBRNaGbLUOlc2m4ImGelXqcK6y6b3bX13W+UF8qKVhsQ2HeVYPbLi6otI6mceRTVp8tGm5SLKeYLZV9jE9N6A6smSvwQo5VuPjQTodWUPyNr/mdnx4uoVo96NHCldZTymTOA8HHzt9C/Fp9uAJ505BTNscLnX+GEpAHF9VOJ6bOrYrAil/XGUZsCiayKauzLFR02I11zG4tIpI6tWEnm1yVCNklL3aTdpZtZFCyrrHd1/XGLgJBUDhlZeFzXpaMw8LodzuMns28l3DCiCeK9LcgsGVClK7MMi0xr3ZnfvhfsGwNRlznNdSNgTZWvhyS9HHPOLE7Bxs5DPnCYSHGMqocTCCpVhTFlOHzJ7jPGju2XFBZqzqnTquUSWDHPyxHGTsEca+7G9ig/Wj6z1fAD7QdenTg4w4RUnIshFRSYClyaihQ3+jWaxHTG9wx5/JlU6hLJnCq6dRi45ZpDhRF2O9FF7VYiOc0KIYHWgJTlBl4zrx64QqGJdCS2DHX5pNEoGzrq6riQob5RGnQPlF6M5edHzgYojjEldlnEITqVNER9Zlwz6sDgxMXCOOCCpCIi53nlMZWXA3Zc7mtYrD8PJZNd4/J8Ug0BBEE4fJsWQUIGN6CjEEx9PInvw44TOWzWQu7RxNbkggKJXQHOOs8riz4OOUIxsDGppkpzna86vatHc1o1cLgGVTGgLUaysTs3+lGk0rytsJ8zQZIwLZw2HBk8X0RnHUogXCzNO2wMYANOSjKLJ+vVBVX3Duvkw5GA9iTilWZmwYrnHKt16lOEWc2tt7JVXoXdHU5rZ5LW7Bs5Z1xV52mU5NevK4A2OzmZJ7huhRJa86PakKlyjZStLWZhrYwbCYbLVWotSmzVMTOFybyfq2JkhBWBw516qB/RwYCTnWbujZzl5IwaZD6ta1BTVVQxwnnnv357M6vWsKnOa4lA/Fj11hu11TuUch3ZzPFwYNGunoaezgBU4np6VdMOSwY5nnY4+dSGYYgBAReNu6YGevalD6olgjO4T5fnGPkUrVX11XAESaRlfXQoJLBXw4BxwP65555wZwy4FGqs22TTk5HAdtNcvVp4MfFw4/o5NTHoM7UtlGfIOmbRlTNhmx6kfJ8OLgyiaVdXyKHbMSQQMZnxwmHJY7hlHAWiqtMbBgGK+mt22TAEnKxLK3dzVWSeEsOlI9GJULoqqriNGksXNuUTBZhhxx657K3bnknnkMCCCCaZ+h3Y0TXo2axOWaqRZgy4g4JfFDKGbYqaOgkO4yhgBm1rrlVymCc5bUu/C5+oPp2wWs8m+ozgjiuJjZNmZCCoC0HV8ZFUY7osp2NTJNhAzyMDT7F65QAplHjlBkkM81V6KRgXWqDd5ZqZyc4w+mPYHt25Ldu4YN2BbFbryT8q5UI+o4o9EJUYq/IRKuRiqQuKaNZO0pdXM0EwPIHXVx3eehiV2X6qIxpsDYmGwhxz2l66vlCgbJy+fzyRbGLUzjpx00oWpZ+kztubKWLLVXaUTq1kuIMOOGC7Bl9J5SaumIqmrzzUK4wPo42N6BJ7dmcuHDhgyHDgw5269eJ5AnEa2HIxbOXva3NGkThzhkbKIllqwlNwp37TAa6o5yNTRgz4GOSw+nymKYnntQkZyLTypUzLuMdQAoQicurniZFdmqo2cUPx/IbX2pS2V1QWcVHivF4iN43e0lNdFBF+1GnmkvDezjY3skv9HfuGTEmmuuuJfH4tKslQAi09NxkdIao082K/X6lKP1hjO1ZUZ2whozVYqjFW3HX0TYoYOq0FZpmtpsk3OAvlFVJgl25OH09pbpdAuNiEj4hGxZSytmqzB2pKfx6Ub5O1CcRDZsjNTUnNcljf7efEjGlYzlU0Ec0xzhzszM2cHHYsX5SM9WcJoq8euCHRZ516Np6+uEztTGFcijJQDOXxs7LUMMKmSg5TBjtOpr2pOctdHrt6zx1pktnYUBJEuBjF855OJO0PyrgxSE+S4FYlgWaucu1RzEMOAGygZGnTYRVS9g6Kc8R5BN39X08xtoqlLBHQ5DNbOSWZnNOwbl2dmOSElReEZW7Fgxbk4pK9eoz9HfnKenUI1KHF9OpwAGeDFxs5f1RY46JlGRlWW1eQQe6L9FwnWtaPUzfCVJz7RyoAAmIow9UajCv0c/VW2WliOQ+cMtsLPnzBrtqnRKbFL5p+Svfb8vDDrmQfUdq2bXGsO5Z2dy3bt9HoWzrPJEVNQ6t2NO4f6Gn1W/07/TYb7rYHHHDKVZGx6a9moq1zvPElncFycr6XFVs1E/yKGOUxScGHOkpWQZq2rO1C3E1bCYXo6YoknNKzarmtqpRKPjZq5ssj69qvyEtR8fFU45VUXsi0naaQXSEI5z6ni0ddTI49mq9Wp35J54CKnzCKoAUAHv3DYcdi4qK9vp2mUbuK/XsFqvFTYQzrTFRopgs9J0Vmw45bJ4cWexoa+r84NRhnIY511hskZPJ121ACzx/Sw4XExS5XEG09ag5Khr2nVqdoV68ZatWx2JOBmaWRk2OksQGTRTBjjnjrDJtcs7PyoC9RMT+QTqsvl145LelztzUnBgP0V1WyJOcKzrWTfQ4HrIxU9pqSQcL/RXixQhRRFDN4Lb29ktdNctnXgH5TQDZYZL11eHQY7RwAp0DGncBM8huZ3dozZaUD9kyDmsy1KMQTyzHGTiCzPIyyJSbgFOOOxKLr1M6YyGXwWIn8+gXjjJqFIfKMHmpTg4zOfZyIjOmsqcWw6/wYdkdi+Oqil0q9Woz9pOr/YupDuGH5vx0HYAFcpmqi2jl8o65Mqz1apcu9IrPGVsLcriZc3omcpkTZPmxp6GJj0XaOxzTC0YJqPMajRTGRcuWEaGgw5cVb6Jua2xN2T5/L5CfTr144w5Jw5LmglKU2BxsbOc49TzWbAc69aCzenelfr9LHWDtx1YDINnHZGm67XXV374ufKaELBqfNXLbIj6RtppsFYdZmbl2JXgKh22fPs1EMatj58rieKS3HTC6oA+6+3B5WraU3kFYZIOZtlWdu4bSzWLLxwEWXzefXjOCFC51ZCiKpoXOPhn06fMoohj1F12fubX2zXlXKNq1jLE121aL16lElOCQ+QwJDKnvrl26pivSmtOYphaDbs4Y2TzZxcVmzrJHzsKc8Z32suxPabQq2KrJZIBvXz7DEnV9i7P9Bad5KlCQtRk8ZIscrajcxGvLSiImHyWYQq6/Mz68EAIMJ57dmYnOoUoi8Uwn7rbZaWy+xQ1RCo18VOLQdNZ6lpLAxMUmiKvC5tSgn69mNKyzr0dOVWBsxzXO0iY2LlmzksgXKYqH1N2YDdyxZixbW9R165tjTdsmrIFNOdyjvnfmJS8q/VHOOvzjO0GrdqBIavjtXx0pcMMGcs2cHGHsHGBCkYylVXocbFJq9GxFCOszjUM+UeLGjX/AEHA0n+Hz+LS6qB64lEoram95MCksZ9ptZTudw5E85omdaDApzsjBZawlt7iP2108ib+hi5PIKmWnsrLHMV+vBNHoWYnBiOiSweumUEWcbBfEbUXUERhdqfT6fT6duxYnn0MGHKEOj8koxZiTnRkGcfSpm+ctXkGVO7slZOEXEYeiCO307TSk7yvp6mnuD9cjVmMws7KpBXA5w4j2M8KlHyA19TZ3q7qjJKubtNjDnMRIQRcrlsq6ps2WpQve1DyfYyRTAs044fOtm3LuFbU2dbd1tg0evY+mKuH7k5zyCM5atKdpv2J7BujIkylMBOVzvSMg8zgwBQcfFM8mcQh+xJxvSmu7ZtOenCG7vS/Jp7AmVVgWZcKtis+NimzRbkzsPGtueQq6DJ5Ce675sejk2hTXUbNG2Hs0nZNeVcoahgfS4o4XBmu6Dg4MK0pvqSMXPGx1pE527qtmQZz27YQG7NR6Fy03DE4uDEi1XpR8GOgiiVx7YomhBDY+TKurdldSCccu60tNo8VKild06qUokrBGgxANigc4ccyxKVxjKjYRMMkZg2yy39EDJZrrNq12dqK/J8Ry1rOxUpwB6m3XXKOHq03+u6z3KcTzw0+MY4oNTn0Vj65Wpds7s+cFVVfXKlD25Zjn51UrnexYIiIuVc0SjMmIiqFExnYvSjnt5dG0Zh5nO2/v6Frxg9lmYgFGdkyiZVjgzWnuMW7JjCfqCXp32M2fRACtPyVPN28gX8Hr2SkFSjWoSS2H0PStN5P2UleNq+zY4M5jHxcGzscGFuGwIow5wV9Gfz+Xz+Py+fxMwgGElnM9h6fqO53wzUKccVzuDJpEENy1Gp9OepTZ29XVxBsyrj61z49pV7vms/K4wnlHJJVFEc2BRVxAMVBCc9nIQ2luMfFBBw4JjV8YRelCdg/Jwc7M0wfXOQxCgXL4zuwwZ18PqZzzh9c8YPTYAR1CLMyKcDOixKMvGHCpSjfQbLv2Uq3TaxAEbKKyKJiZHouzMwKhV+cFnsks+bCxzdZtiYIczE8K8CbJUAHFCM+ND485Azx3IzdewzgY5wCEfzyQmj4+dHFh2OSw+uOIhcll8/RRjiECS+KT+T6H8HOeVxZhPm8jJJLPoUopTr8yHamdBJZOmKBRl14tOwfGziZTA3ZnZyVxMQdfwa2pVChQDXys9PEJzYzXxcYfPFyifJk7fRMfCPmJQVsptJZqbBpPoxB55kqZO3WuNj50fKh2Yri+hiBhDJ42bDs12xMRYZ44cfzxx65w+kxM55zoF9HHHAXi2MDOcxAQsKLryKrqjHrXGzr8hMHuaFxnUIgXO32147DTTcbXttiW343cWIO3VVipHLAF2nllE+FcnoJw1Vjs5ZARQ5bGm4J9K8Ct9d6JTPl1ywc8ri4uDExhITDZ9uanlcmZZ44++OM44PoYPYMz6GAeueT6GMas+SSQxiVWdsEDj7g2OrZyvps5GdEVRxn0NIY1M132Jpq0x8kxv2qIYtC61+rtPDnL588mHSKSVnoWDypJMbHx8444SaIDq0ehJLPlzbEAA9piKoOWdz2f0uTyK6K8/22cAe+EznBg9EljRqfYWazNbIh8BvsPtpuSotuWiuWxqCcs4ZenVSMXOWLN3xCDqUc0EU2k2Rq1TFmk2SFSPsowTaXD5xEfKGLRqOnSmIl5u1Cytg9Ji4Jacanuc4IuKYmAcephM+aZ2sq5RcUIIrH0PXPPYHnOvrgDA4bt3FO7O9C7sXlhzo0VQravCxj4/YlPeWnLu24RPTEuOc4+fHcOSwGUz7RfVxZs/FtXblp4zzmMcfF8lNWakfIU2UfOBhrOj0+yt26OpzZ1bY+NiYMU60Eii7KvTG9XymLiL1GDFyaFA1Fb114TBmovz6devTr144VenXjBhxsUl/p9v0NY1V3PCelxS6/XjgZWm1WttPyEdyzTkmDDd7l1bt2pcVRhhzhs6Q1Pix7JTZ2WbRfSK3rTTqyfmfUvb6JjYjAvsa+y2SRlEvmAfXR88knZgpTNeM6dkptCioM60ymLmvnzpPrETxGplcfHwY2IBnikNfoG5/jhc5Po5zz6OPhJf6AhSuSw5zPOpFvR9bGh5FEjr5NrONkVpuOizE860n0XOxp3+s93W8i21UT8plWbRsnj27O2s6rvMbU0qiSDFVsrNV17ogU0V+WoA5ods7QDYjQMT2mdpHxM4xl2VTIEY4XEOC12LWyijOZgL42ZKhPXPbv3+n1Spors3IPOHCrqw4ni43qZ5GAc4QLYU+N9f8ABHTvCrwnc5rhZUylDYtKfHLYmPtaOU208rTbDV176op/kfhsY7zxK0tUWWusGLrXFQnWBbi2DDgPejbB2abOK/rXKYFVdktiN2ZudwTxcD1auIZUfC1SteGQiWIugvXqown2c6qvAzksG7ggAPJ4siYAwIGch/p2V+aSGKHxpkpsVfYES5I1sehq2s+v0DNgHHE8Zqh9pWTY8d5p5s++iZXJqSsvJ1JnsUdQUuRQFJ6wllGdef0pTu7btXyx6AZr5HOODlJ9GOdN4JiZR6MCpbDX65RFuCypiZre1LMM4wDr1A6svBQIcUowbl8ZcU4cGEIGTg0SgoWe62O9TcEXlsaywZQIZYZChHHzM+vHWutO52Gpyg7+Ko+lYTpBGwFM3KVvDy8toXbZTEmEyOTeu3zttroU+5zaptHAvT5hdQ4c4BpnXjp5FZ4uM3IwP3YjFy6ApnKmeaecdVVlHrgDjj0c46cMuIc5OEkqwNCtAy4xyiBn3P2ih0LxmP0DYbYmW0vyLr2121xLqJdHDurdtxNnXWA1u/2ge2rbfnrtK71DrR521Y6nzKLrdIP9mbXxjWgbZOnLZoi7OcbDDFxWUCccBJTKYQgo/TyYXGbCeVPOKqpselwBMmdMeh66+h/Q98FcU4xbGCYmVV8R1cnljaeKkxLKOxWNiK6pFORhwg4WGFr0YrjvsL89dHx46bHXKau/vJ28e7CmI6vXaXHebJKhWgIfXy7/AF+88ShdJ7r8sABiNC08Cq4yWbUlxsUEbw49jBnXiYnLyCKVxMnkho4crmhftzyMZ/r9O3bkHOcfOe4sXw59l3O1UVBnJKvtkng5sbaOsDLyC6mfrlRafVrfbu7GzXekw+UymvCqar6XCx+kKVlp0cfTXJkJhWlnWWT3NuvVcGc1rd9c/pLxnQ7ZYlcHrnV2FZX5mdnATjOs97OMODOAJZ0Cqm+i4uLk87aTd7S1NYYM6nGzj0PUZNL44+FG9TVg2NgyedPm47FwXxUdzf4JMGhog1qyiQxoXNU2HqWLMUcll2n2Ttx0fL6/m/8AF7PhhlH8Rt7OURRIvNlR/wA3xorLylEOlHavXaDTcumQFns5D+p4wI1zK6VkIx2c+ZyKZtocGNgxQEmhkFQ0HC4MlNJa0/pOLTwEE4c4wDFDY1kLHOKoApJM3AM3QsWd6DG2YY+XOvCXo07LgWussOGBcsCCSTigDiExPekZnFzW8qfIbPhYna2JnVnbY0z5GZhr6W1HagutXWXU0/G7T71aYMGJmkrNWnL5Za+mTiInKGpOanYIwhSWc09DAFVR15XAGWgnk014/m1p3n2CfnOsNc65g0ik5JJqUrgHAzuQ4LKwa4xMV3q1Oa11o0ymKqlW7FWz7wryFad2KlQMoQOgRVw+OEtxJDdeKzMI623srfBSVsLi9dkqIu9khoS09m9r7Jo2vq2XXXXnV2dsgXZlb1RUWZoJvDYbKekft12lxRwuKc7BpCS+VhI67wP0matPEwkH0VI6tP5PlFVS7UB7KaAoBhm6Bw5L4uONbGaSfAw69u+zcPrsl/0PsYqmQi0Pzz1jr9Dhw7UqXEdb8jx2EmippV2565g0i7s0wtK7QlqaCDZr5DZvO1NLXcXbxci1qAkywq1JqM2MTFHUQOazXxJskiX3lxBwT9Rb7Jks1887GWIZbQ24VFYZz9fqt1p3dvoaUry1DudgOnJoXGEc/W5OBsK4TPNqujcVez39V1eiYhJwBUYBlzpNHVlcUK64G5PWlCG5fbITwKeU1JiCiOne9NZa31MnUMX3t79V88mzZrvfcB0c+lXDHJtVkRmV9lZYirgxgrYudKlhssuLgNk5myZHI5E+ZeeDO6N44mUa/TOAEb6OSe/HHzppKnVyUqJKBjhGYOVxTjDhGtKL960m3JY7HUlCCpGK/DIgGKSzGr0atI5ta822B+fbzX8boabMNZ8CKNfNhfpO/wBddr2J2tzZ8gbqg1zCGryHfAVbscZuVxxrYB2ayXFWb7dglk2F55FMoioomdJPj5hFDNzNvFWpOOcnCXqtFZGKsozhcKmoOcmRH6zs02TsnGzsjeuBr0aMlpsugYmxmiU9KUo9lxDSn2GyNgO7VL5ta+poIdguvOuuxXUuvkNxktp614KzZNLacsWzbP6trXsdKK+NMWwN3L88q7ELRsGdkwO9HtOuqXCok6E5dT6XFPAAxM0pDPMJPHn8guqVYoryy8zijqudsOdhRqq/BBWmJJcrusi6/NfQyTPnC1XX19bd0pxb0REobTOfV3o+vdKWp3Do0zQvlMsyW2oa0VTiSgJDYPh6iaszO5oIOlMGW10RdPd/43TwLXfc7oKUYzZsORc1zqZYzJZqsZvr1xQJutVqGzhcGLhM10tSePm2nUB14muqwcoHrirzzz35VApX5NNBhX9yn8Yn89ggVODEYCqLkqQtY3dmQ5TNTAH0vlsC1tek6vg9TdGbOtUjHE2GpDNlKs8ZZszVjNZrsbLxOvsbTbQ09jnW3vH55Sy55TTrr7U5r257c5EM01CXXKY5NVPMDrFZ0FVbLZUDOOec0ZRP6hsUPkozJHzC6GKnX5nB6NO0wBjMuUzlqPtF9nW1NlWDXs7NezYCoiXXYzWeGbe2QU7fRc4hYWtN4V056c9YoUoZYCuEVyDl2AVA43H16ze05y1cOOS2lJztTVIxrRMG/wCNO15B97ZoS1UAPZfXKImOzuzUoT6B1hAqWU5VaGmc89vpIatDjMhV9uGvpvLqEiv1Tb++Bqt+iVxYbM9j6g81uU6dVhaOiWfiqv7Ucyz400GAU4yNjhVxm+sa/fu2DFZ8q5yeDAzUdwfrfKFVk74Xd3vLbFo3tWkdTTorXbKwIF28huvA6ctzJTr4muluazDnt2hdr2oL0ft9A3YN4sQObLzftZNoLhf6BtWUsfZ8fG/hyn15bOowL83ionjtXHxc4JRgwoafZKvUuKfWuEpKtDMIxzslojYAmxNTsKHnwMOfKQ4crUOMpTHwVWvcv2eYiWpaNTl5zkS7wHZSqfJ9d6iLI+3Glddtf7WvrYZOIh91t+UvzbGmugdJYBUnRPmUSRmqeHEQztBV+lz5dTUv3iNfO7No7mtvbibCfTn791MicecmYt7YqvOHNoLroqjgTdC895sdS3dsfOBmtrNHZ2Nm/wBIKqtJ4uoHK0+zOAqjK4BYcTwY+c3b733JXhdqGQT8r68ZxbTt9tsyDy1tB9o3ltRlTUrrmcqbnkv2JjGuu1NGl9bnW0K6lJ9Jx/P+X4fI54PWo/3vdHdqy8ljT+fGvk8LtSVdbb/fFtxK1m6vLJCeh/ia+EfTA7MAVnJBNsfDjH7TfvjTOuF+rSdVlTFK2Xy9dvaxM19J1+p2jtvb0+IMGTwM+TQ69ZKgymHL5QF/ET2dZQ9dIWQiU8qmrYYWKX0m8bHx05lpmzX2srk2caQOq5WU7HbM0x9UwKgSdtTgaetqud10Bjp6rQ8x40zMhBR9xt/pXansPbW2qvUyTPHxjqflTAdvR29Q7Lt27iil8b18kjPQ1t6mPsJs7BNBXTjtbJzs+LiPsJ4/Vo1quO/ASjDDk1pi4uD0jGzF6CrHjZx8+WlrfCirLWvsZNfk+SOuKPLSmOuzInXbXWsZRYvJ40nWWq9jMd7KrEQ3dnH2lxNAw5/BLWbLZ5J/F6Gt4+etaO3p7OqUp6ODWEfynW4+s2dBLW1tWWrs0ee+lavtLSfzK4+NSROLgONu3wI2fqyapm1ZAXXGXEYZ+p7zHRJKjL8wnToUEwvNa/o/Q92tDDhNr/bUxRBytE6pgggpr60KSElgsnbAJRU+TmElqswaqVbUntY4/Re4oq7WmGpOB006a+bQ1VN88n4/SM33Nvq+1/yMIpHwrLYMUBGUDLOav2htPuTc7dtn9SeTG89Tl5HEwDo2JiB02EE2h8WCsmOqv0VRjYuMA7+pM5yK0mVfBnKjrV/pUqOKYqxFC1DB5wRUk7Yl1ykm8l2mxVgHXPtzEVqtNZKvPattVcPXL6njdqNaT+ZotZXbGRdWOpO0G+yWOFKvK42f855KU77+eVqswi0mWDV7hFhRROYuWaL6mPS2PcXntzartcvr+m9TKkmh5qauDHS/IfH112U+uDFgo68ehkTagcr1Zp7FtwUCmfQ4U+ammEbupXNaj2Gz+tF1g5RIpEOQdnF2DTBR6ww5Bb4NaqKEXYpaGtCdtjyH6AXOum/pz1tm8dam4m1+gbP0rRaTq8prLZ+TJJGfDN9eUHimsuUae1WpvnT93FppWu6KlzdKzyVe3bjEqWc4JbGpraxVRTKqqsnRQW19WnhXx8UFZznGiAAUyqHCqZPHYtzz6fOEO/pw06ZLR+CISqCIxRKLqyfn+Nk0ZVTxsfIZeiYJ1lSiis6tl9ausnjm12VdWpOBuzZSKk2rTYy24N4WO5C8zWJd5/ToSrhGFda2i6NQ0ln0fabGLN8u50ZmWLQIIPLKYM+jepmjmrb0jR2wI6MnSp8LtU8lSvSc/imsBUIglXGymcr6Zu3pfTZxty+mrqU00V1LwR4yJxH+98LTwi4i1G8fDa30maVfv82f79RK1O2xSGnpaN9lBXZlHeIK5bHDxSdgkWy+tGfKgt+n6MSm1rFWt+9NufkNjJSA/TXZSmrrJH/HH/jx0T4qMlt+pqdVms6Lz2BLLXcfx8qAvS67BLYBTXeyzXX+cpLD4ujT47VyjPgyQIpnPYYPXCpDa+UK7xpq2GamJZMd2dbttcznPZ3crkM2tqewbNsc20pQvuLVDy+s2ur6kf27C6swuw+1rRCMifdW5+b6tNdllGOVVcM53F1I2TSrEI76JoNu9beQ1zPehunajtkyZ82JSHboz/b6q7McDXtLLjVZ6HGUScgIgg+quuZCCSC8Nj4Qxu9W5TJ4xfCBijjFwHmdWsKK1Z7gkZBj+qW3d6bMd79SZt2uYU2RqvZUjsUbdpsTauhLXMrx76mibgbKyjhsbDK2/GJfn41tTd8cHRuFkxnlB8KypL/GfmIrrt41NNoy8efHmR1NaKq2JO1L1s8b6+bEhm0CS08nD8lVVcXFxwAoXLZOcoJIxEWGKODj5Q0q9Hxs4UctQFvSjggYMlr/AA+CzGUmqLpptfr39mLrjR+HK0NYV7IVw4k2wiQbyO/LtKtLxnbak77ZtQdpr24WTyrrRz4I+pfdSmsiOPimo0HDHosQzlXVqYMLcd/l9u9o/XNR5atD830uaw2GSZGthS8KJ1MVBfJp8XXXVAuEEFQo9MaNXHDginslnm3CoiFSMJE6vOin6Fpy2TOO0p0dbXcx2XWxnkBRo4tA+guzUpXX11trVF8lFYtVfIfRPH/Out0aQnJTLabJhcOU8gKR1eBfh0FFvzQm7EJIGPHZTefBQ58oYlYyObCUz4qd7ZLMky0Jj7OaYqlqTVFSc1wSRZsG7Fu3YHGFFfKYzUs7Ipm6LriGKVw4cOUJdowTCnAawU0m+R175PFa/rR03Si/oOdhV8++bm3n4Om06axh8vuu5XayrysjrXZ1yhsMMDBHbFdtZoPNR0+NYawq7ZyMNK6UJvdESnZR2rvtbWytFe5aezg2JXhiKy8WPHQqQiqs5/H5nBUW+7X+yurdmd2o9HcuMR+85sl2BUo/J9OHIWZYtSOfD5qvW84RtHj4ppFp1FWQBtFNempWhZMWGvj3LQlMx2tnyv6JRafw/GumZa83PR9VfHjT/J+GulSPzA7uyqKAqu1PV02hWHytqBS8clrtiStP5qaj6Qdp9HRdPTRH/XXcG19DT69kRIrNEJelrjYSpb0rigej0u9Gc5T1x3jY1f1yjducCYMUfCuIQxz6fQtjv8/0ZWf4309KQMstiV3fGvoDV15vhxNET+ZpXx9E7Ah/1V2EZKRC49IEURu+PjObHOz068ILhW4QOFBTu+TEMQUFsYsQ2TdcZy3CTGNOUaarjtLNcNiDkmubGII5xjkN9BVzYtQYQ6rJl6AK/DKAqKvAXDRKJQ3JGc9lfFXsV+jW18fHcGY2ckDlk/Szw2K7n6+k8GHFMdkHr0noXAgyrsKqqyECg3RstvnbbYDJi5XExFrUUxXUvnbJ41KKjSs3ps4k1sWKz2QjAPPgIi0nWP5pyiF9Fmej2wPJ/p3dgRijLBwDhQJ1YFPn24CKnHHL0ke6BnhZHIJOAjOjM1KSji58OPpSoqb1uEELyoixnSpDQp+n9bbWvVGV3WZojSlas4lbDFp9t3S145WPVfQylFFqJSbBvZeC/IKavtpVauxY11c4aX5kjsHpKIi4ZPkygq31bYNlzcZXk/c0ayFQqnLlh0VVm06Y9UJLFWV/r9Po9OVx2/RO/M8WtSGpsT2ovRei4Jvi2aprVdcUiGFfqm04eE4/MazAt82UBthdnc342pMrBv1zexjjUCNQjGzoqrjJsA7JMITiSmwGI4Klkn+cr+jt9WnKK5BRgyhfFSZ5OUadL5RhsF2cOtNo8JT6d2aLzZC2NP4DXElR12EcBuxzsKd+6virqn4WhHTaUJ3Ql1tkKw2Wr2WrbcrUXhp52+qR/O8vouXT5rRTja8FvGfjn1F121tWEmolYW0flGNwRDXrrDWBe7bJYLCr5XFZcOfFNOcGUemxXol5Jp1zV11wN8jUWWlqm6bK7C3fYrsJsJd0+L4TyKPnABP0QATebduB75drmucDHxz2DYowPNeekkcTarrmxX6Ik0WQ13mIpnKljUcrkcfdTYrg2J7VNlXbA65Fr3TbFM/XFy6WWmxdCVXHl1cFX1PxCShJI6rwjSv95UOaZvMr27zR2VHiNEYhWlNirSvCzY8eBZbtQnJ525vRn+inOvUp8VxmRkp9vqKdy/YmxsynGx/SGeAMIQ60WU/pakDzbLWnFJyVSDbFxGqUXtRwcGbA0ao2wv50kkWChp/NknMAREquBG6lXbeG2zNknZVwZ3ebJr0rAhcpFtemlHFfX2qb8rNIJyuJ6fOPksmymIkW+qPfOuM4pypav3sfSEEegPmytnIcuL/YW+woTdquhGPnBCqmLiprx60WT9X1FRH2crFNnVugZfrLPhbExr/QzrHXoub0tPUYy2TRmFFCq8+6KuBHpWs7Ba6shfSfTnrsRiur1pXyH7P16+53js90Xb2JNw+tCCJWaS+hTHsthbnsomtkpjMNj76lWjfKElc7KcdeWRZlBncURwXzqIGFJ/MjuLTp3tjRWXWgbBi5wmRxCq0WWBGalVUr+e2lr63ZH+c2/RTHPCSbDU4r7B1tlpDXGLSlPsr8vks5aqtta0YKv6AAHm2WmrJj22907AqaToufJL/qd44LI31fZ7BWrHYoz5wlFXpgv9PzWmRJ5mb77SV0ODOVw4QMYHDjMHlij5JBINMx/PaNx2k4bCnBx8cYmAoZN9PpNxGhJaKnGezaz9UnTKPr0q7n4vZbcqLKoSAyqspZF+Wcs86PsJWasEV747JamwafCmjrxM7Spptqrr/PWNCuomtUAhZwfW/PxxSMorlZfKMKZ9Oc7LatAwyV2rVVQS/Ouo+v1COpxrFjj4ohkvSn6duxe1NmmTKsPTY5JbOqoJhUzlpqppk1pKyIXHSSZyotDhnmVx5CPzy10otELZYxjOd84CNKasElP06ygYvB5VQD7LT5uNkwCTrrPGUmIdCNUqCtBdRWaYfSelyj9ziqfRJAFAo7cqUxF61XjKk4V4IfBkmR/t9vt9frXYpdjyGRlOHKYfSqi9D65//EAEoQAAEDAwIEAwUFBgQEBQMEAwEAAhEDEiEQMQQiQVETIGEjMkJxgRQwUpGhBUBgYrHBJDNy0VCC4fBDU2OS8RUlogY0c7KAg9L/2gAIAQEAAz8C/wD8dB/H2f47I1H8dhBCf43k+Y/xtJjzSgP4nwij+6cv8UDbTbzjySfOY/hk6H7yQi3yAq4H0Ut8p/iApygI6Hf7t6hTryoyuVb6z5JP8OO0KPXz4QR++iq7ywoWNMrClR/DkHy40cNAh9xhY0Piyj5Z8k6YWFj+GsaFHUaZ88I6wT5Qhp01wo0wsaT/AAsUfMPOUfJhOWFzeaFJWdJ83KoQ/h4z97EHXOuEdCRGkoKNOb+Hho7op+95CpA1jT2kaYVrvKSuYa4/h6UR97yaQAVc3Sbnd10WFCB1wsKHhYWf4iKKKPmzpzPHrpLSuVQ2VDRCIRnKlQSNcrCypR/iDHlCHlzpFb5jW2qQsBOTSuyMQVBlSg1hJ6Jwtnqi1Ss6Y/iGfudtOdh1JeCpdPRvlDmrornNb9StlIUHWf4hOgHkCIRn015NYpFOtf5CFIXNKhxK5ULW5WdZz/EIlWu1EI+bCJhRlEgr2jmqo1Qnv2QzcdlbU3QjC5cokQmuAu3Q2B0JUD+GHIhHzwUHtRaY1yoPkcNAND0wrahdox26ZCaExrvez2RLUWvROSuhWJWdB/CrSNk5AHdBZRQ66Z1OlpTajUWmFK5lyzodCETnyBSgEWhTkpv2jdNtQDlIRXsGyhdpj+EmqEEYRRysa7pjsKmKkWo9EYQUuUOVpTarZG6LTB0JCDRJGVKwpO6gQFlVWbokKQoQTUywqk2HhgwsRGdKZpxGy5T0+SGG9AFlGNly/wAIQsIlOlXHdDyOxGkILsiHwsaFoTnOzoWlNqtkItMFcyNwIdCbtrCa/bojlBBwRRhdyoTjyrmlwVzJlEIe9cupd9FL0CyEGsMfwHn9wcFj3Y0nzfVVcZjGVSY3fK9mXHQO8hYUyq1PmbgFczdPajtpITGDG6YTOZ9EeqtTiQwLwoaFLcoQCxxDk4O5283T1Tjy7J9uF3Qa1E4WVy52TTS/hMNKlNKPQIncJ7SeqdjGljLj9E4OM9UJyvtHER0QYGsCIUIOCDkW76Frkw9dAeiE6YT/ALU1s8vZDGgQbVBXjvm8hMiE81SUXthwVQNwL/5UXUG2uj0KDR6oysLmWIOyhhj+FHvGFAk6XBObh35onCYE41Dd06Jlah4jGwQciUDRfHZc5PZF9Q6lqa4Jrgi3SSoCwm9Qh4Yd6ohica7XeqPh/VWoOaCDuqt7YcojRqFIKTsg4NliqOqiPdjP+y59X9t0Iz/ChZjoqZ6oHEqr0KrDdOKqPa17DkdFfT8WMjDx/dOpVQPhccqOINM9dkOGpvHVx8rmlA7oOC7J1JyamnqrmI/Z6be9RQ3edJpoLwmT6qGBzVfw7XKLR2CfSpyAq1ZyrfhRqcK0O3ZhdDuiHSuX+E6j9h0VbGFTHVyon4UXZYPonsORGlQ4Eq55FQnHRU2NgEBEC7cdVw9XnGbuv+6r0iTT5m9O6YfCq7ObuVT4/huT32qkymS98GPLlOCa5NcntRG6NSjPqmFoB0tQ2QTRTblNqcNy9EKnDx+EqpLnOCa4QqLc2qkR7qsDj9EydkEA1ZVo/g9ztgg33iXegClvUfoqlMiMDuqdRu6AOycDAbJ9Fw9pBy635wdP8SMxgr2lsCW9VKsfnYqmwvLTh3TonUxyux2VOoLH4lVOGdyG5pVHiGZCNJ8eaqzNpCrOb7hUhNFVp9UwUJb2Qtpg7ls6cqIKZV+IgyrajWDoFWNawZuRp16zCp0MwUNXIqTof4NE5TQ2QqZb70H1wuIcx1tKHdOoKIup1wSD+YRDnRzNI5SOq8HBgunMdFVFVwLzbuPkdfas/wBQX+Lq+mNXNx0XO2pchUp46J7U1NrMwcpzTBHkDqszsnVG+GGyU7hqYFaIGMJgZbHvK4IO4cjrBC9oPRoV0+gMrGQqdtzd1Wa8ctzFwlWJp9ML7DUfWe4dqYHUn/ZO+1XTumsTRHYpwEhOcDPRFyqBxlCEFDtJH8IOacOIXE/+aT88rnip7p+iNF8bj4T3Xj8J/PS/VqZS4Nx952M6e2p/6gj9sr/6kddlBkaAotOFQqiHhdaZlPb00cx0gplZgddlcLTY0Rc8ZhcTXeX2kmdwqpa3xaJwf19Fe24MIVQvdhVG8Q2Rh0hY9NkI2XUJ2BKfXyNmbDqi0iQsFXU3Uj0yFVocV4e87esqGWjBVuCrX3dCubCdDfllSsrl/hMVafg1NvhPZOo1p/7KihY3ZyeDsn+Kz/UFPFVT/NrCjXGklEBMd0Uq1Udj78ovgMpDeZ7p9IOEjPZFXFwHTdXvLQdk6hUbzH1CDeILmuFjudFuZtAQhBWOLh7sKU5yNOuCFQqtp1T71KQPX/4Tn8WTdjorveymxHRRVCbc5qHRZU/wi5ycUQpbBUtj8kEJC9s75/e0qpI6p9Ou07hZevRMIOYlEB+N+qZQBh0krwnRYZ9RC8e5h33Ce0wdwc/JS8rMJ2VzFSnO/wDCcahdMj3YKZw1an1AMFfZeJvZ/lVMt9PRCArhIXtMq8GoTyprcD+FBCGvVGVzfdFPCqPof8yITgQhzdyiFDgVcwkKXOlm2yNbgGvedncoRo8TTd6okh09ITrnT+IpsaGUJgiVaP65VOrcaYJcTsqfGcO/gq//ACFPZ4l74LT+aLGlXVsKu2haMyE5nvacv/Dc+SP+AWOTSECp1HnwsahFwiFggowiJwnAodU145SvD4RrOoanUafulUeL4mnfFrR7p6rggzw/Cbb6hQy4fD/RNfTDxoCYRByFDpC4a5zXVYKez4pCDal/WZlU61O6Jc3cLhbTbv6lRVBRAAIDgU2ptpy/8Nz5YPkx+9To5OBUIHTPkcruuVc4gm1NaMFSh5R6qwL2YT+IaSHxlez5WtkRA6I0XOtd9FS4jhrduy+zUW1RU5vwo+EOUk+ivoVZM4lh9Fc51EjYYT2UDb3A/NRUM98rxHnsFKe3iHPHVVZa0vMDojaqvDcSH/mqTavjU/cf/VB7UQwhTpt/w3KxrOmfJn95nUIhGUCENAgFLcYTju6FSESZjqU12yrZj6J9pkK6eiAwhqXDdH7P/pK9rUbKr1uJp0abXWGoGuenjia1RjoIdj6JnF8OZa1hZv27ynvFr9jsZkfQptI+HV907OVah4zTmmRLT0+ia6qyqwc4i2DurnOZ6onlZu98BDh6Ipg5+I+qI3QqAp/jL2YWZVN1Spw79njHzT6RtcMo2yvTOjT6/wDDx/wmUV3TFLcIfEE2IgK3dy8K0u+ia8BN2cJQnsRpCy6QqcZYD6Jh4eo9tBrSJCrV+KNSo7FJjnei9kT3UcQ9h+Jv9FxHCVqjA7AcRb0VHiG2vbCpUaAa11/zR90DHYKvZy7kZQ+0eKG89sN/3XGvqlx4loH5p9H/AMS76K5CdlyKi90PbK4bh6dgpiJn1V9coFg+SY0YZ6d0ZWf+HuRP77j7m54EJo2CaFGU6o4AQMowLoKjZqkLP1VO4uIkonhGv6sKzupe0eqdT/aFUA9v6IueJKBNpTmXYx1T6dai/wCDogyhUI2dlCj+yeIqf+Y4MCHgheFxNN3Zyt4q78Y/phFpkIfZ2vf6qhYDdEoxK5/VPa2VWfeXHrsocmwgqtN3IjUMkQh42VRa1Mgi/ZZVpH/EI8/p95P3g80KDKefVXHLSnOag10lBNULlVRlO5vM3uOi+1DiaH4mYTgcqa9L/WF/914n/V/ZbKM9imvok9dkznxjsqlThKoZmGrweC/Z/D/y3u+q9mzTx/2ZQq9W7/0T+La43hsKKXhvbsFUFQ0qjOU+6uJp8M9rpPNyyq/j+JcBhPqQb8j8iqjX8qd1IQoDJJ9F4jNDU4lw6ASVNbHdXUsonjSPQaH/AITH3uP3od/ISqnZMe0YVNoTB00Cl5bCtOU0hNLSEeEqF35r9lVOLFWk/wAOpB5fhKFHjqn4Xc4+q/xvDj/1G/1X/wB34z/+U6GrUrs7AH6EK2W3SuUkq1zg3ft3Xi8ZSqD3bQAvtFFjy8BUz71ZUm8E6iKkzP6p/D0iHxui5pDamVxx4plQ1w63ouIDeij3gUwbIMYXdU88TnKmwwQCNlmEHBMo0XxvU3KHjELCHj3+i50B/wAZj93OlWtsj1TAMhWs5Wp9LBTXlNTAN1iQUKpl2HD4h/dVj4JGxwSE+ixX7o1GCHQTse6q0qmZa4L7f+yW1h/mUfe+XVf/AHHhf/5Wr/7lxZ/9V/8AXSlR4oMxfVDbj8hsrXuRr3MBzCJ/aLJHukk/RUqnEVGEYvKrMeG3mAqrXWri/GHxNd+iuEyjb70JsTKDRkoOfIdLUwprhCfQ44Hp0Vd/Duy26PqqFJrcc/UymVWeqBGyh6xplFv8JU7beutOMpnj4RYZBRPVVLZnCd4eUC1Wz1B6Jj9vyTG1ICbXomkT/pPqmOeaFcEObgHsn8HxgY+DTq4noUWftEOFVttN9wHW3onVv2hWa3M1Xf1VP7aynT2va2e6Lf2tXI+F0D6IvbTeOv8AdGhXa/sqV7uMZ8VP9UftLT6oPhe0KrUTgqhxHDXHE4+qtLmipLJRt5H47IFpv6rwp8NPiFVBanVqON0+pw9Wk/kPfse64gC14yEGtQPRBpUyScBNcE4Oz/Cfg1JVAwJVLur28rkXElzPqo2Kr03IvZBCFoTaCY/4k5jZa5cJxFa3iWWVOlVn9wntZIIc38QQ46lLf/3DB/7wrDZVEievoqdZjKk+7/RHhn16jhzOc4M/3V37S4b/AFz+WUXcTVd3e4ov4WPwFcyB4RwqHkL4T+E48M3acsPcKzi/RA87fqnJ7oH/AKg/RP8AHcZhm4VrBY5VHMiVVbhXNVgymtwqTjKbGExrpd0zC8SqVIThhezCuJaf4VePiTme8qJ+NUT2XDeioN2IVOphVxTuYnsMFCq2Cix1wVW2AVTfBu8Kp0d0+q4jiGeL4YbW+IAyH/8AVVG8SaJdbPp26Ko9+PeYPd7juF/jLvwsef0Uosqub+IIiuQV4f7Ep/zvlU+P4bwKp9qzLSqlLiy1wghc9pTQfRNpskBSxMLoTGuwmNEoJsIms0gYTuY9OikKQUW1VKzKwvaT/wAdGg/eSj3R7qrReMqlxVHKsf4jNkBhXNhNoppwn8ObarLh+IL9mcbxLK7SW1GHp8XzVWlVoVAe7T9FTrN4h4EP8Ij8+64gteS21rBkuwFZUa7sV7j/AKKzhOCp9m/2Tm1wQchUP2pQtkN4imOU9/8AoqtGq5rm2uachB9OEPCz2VwTQ7S/hvkrcBX17HHDkyjX8P1heFxNOkMCAfzUMCkrKtKlGFIH/Ep8kf8ABqnD1AQcKjxNJWG+mhsVjC8Zwn6qh9kwPaXcvd0qlw4JqXioQBnFvfZUuNpeFfzQId/MNpVSieKFVlpDmjPplMr1HUi8twn0X2u/+V9o4Rre8fovE4d3EeLFjcN75XtFUpcS1zDBC4b9sUOjOJaPzVXheILXtIIwQiaE/JbKAmuwg17WnZyNDjHDochEVWkd05lcTvhU+L+zVutHf+Yf/KvqvbPoskIIEItJQhQf+Oj7w/ulTh3ggqjxNPdTz0905rrXqRhMbk5Pcp80XVTFFhLngYuA2b9UH8fWe82vquFoHu/JcTULbW3kgu7T6L9judzUA13W7eVwtRkBwLD0J2+RVXh/EnLZFrh1VRxZSi1loK9ovaqpSeHNMELh/wBrUA1/JXaMO/76I+6d28p+iIwpZH0TvtmexTn0mub7zHShxnANqj3moOqGq8clP9SvGeXeqczhz/qn9ERVn1Rv0goHbSVH3uf4QqUXS0plUBr91R4hsjdVqRhyLEeL4Wo20Xt5m43Hp6p9GqD2MhVKfAUeLYfiZj0PRUuLofbeH/8A9jf7pw2cVU8NzA6Hb/MJxbRf0yF7UL2qlGQQmFpu3JmVaPkvbEE+9hW8ew/iBXh0x/qWY+F6HDURQp4n+69mmuowTCAcs/8AEs/dn7qUfuj+5EHC4qqbdwnRkKHKthzeic93iU2e907FVT/+mqrHjNOf/wATKPB18/5bveH90KUcRQzSf2+Gf7Koyo17RsUK/BvYO1zV7Ve0WU0AILCque43NaF7Si4DqT/uv8Pn8QVTwmmMdFSq0bnU5hBofDMbiVyoh3kz/wASj7so+eWtPef3viK5FrSpAueqXCU4ATeqodwgcBAjKovY9hiHCCFwz34MJlCg6g430z0PquB4KmRb8k03R8Dv0K8Lj3Docj6qKg0NwTi4YVUnbCIHdcqPEizu4fkqTGdmjDQmG5vRB1w7LfSVCyhqP+AFH7/PknyhR9w0UKe8zP5qD+7OOzSV4tPJIK4YUzdlVhXcGN5QuEo8MAcEKifdKFQ4Qo0SSuJ4ivyEwhw9OXlUqjd0Lrwfmi2oU5mJVP8AavBvoVMVG5af7p/D8Za8R8Llc1j+rDB+Sl7floQ5GAqjXYeQqht5vdKpVfEY9sODcfVWufOOUqpUeSXJ76tkqWT1V7y2U1hwSqljo6bqaQPqoKJGUAP+IY805CxTMbjPzny489SpVpiMYJPpuVUrEsZnnGfX/ogeIq2+6P7KoQOXdW4/cRozxm37LgGNEWrhhhpTnmSqdGkQ1suK4pvO7qnh8dCgypI6o1oYFRoBPqO3+irMO6L9ymuyg50gJ9Cs1zcEJlei3iWdub5LxGifiEH5q2oECNLWomCorD1R8ak8dOV3yK9jX/0FQnNfITgAwmYblOZX+arMotfAmchXw4hMpBjQoTn/ABLZTXa1e0drnyT/AMHx5OcdZVRgublv9FVp1GmMFF9PAzEwrX+QIeV9eq1jd3FMYIH4Q36BUaVOGqg1kNbkprW255RmNh9VdcQMBTP3w0efhVSp6IsbMqpSdAKoX3VXZTX1AyllUz77ZVCrS2CDCoG6qM+Hfqnvcnqo4plIJpCp1CQmVBhVeHqmm/NN6dwvHml8LuamVaab+6goEBCF7EJ78qLT+alj/wDSVJRLx806d+qFQDuiaVT5YRc/wn0rI3TC8EHohsqfZAleHUcd3HZHQT+44/cR9810hzNs4TLeU/RUbYtTBHpshVZ4tEcw3HdVZi0z2T27ghFGJTtD2T3bNJXFcQ+Gs+Z6BUeDYD71SMuVpwnOXsnEZhftDijNSGM9enqjytpNfaPid1QEDfufOfNUf7rZXEHosZCYEGK0Qi9yc8yvBcCrMlcM7CpxhqNNy4XjqVp3Xhv7hUmbqm1UWDdXud2TxXFo9/aO6c0w5UaoTOIps/HTMtP/AH3TqnCvaNxzNTg8I4+ScHBX0oQa3ZAudKNr2+iJK557IynU4KqP/Z/IYJKs4enUd/mObEqqKjrl7RGUWbbrwWunJePe0wub7rP7ofMfuz0IB9UZa40x8wmMmMLwnHmwmvByiqVVsPYuEd3H9CuCtALZHZcEXA7AdFw0+9hcAyJ5lwjAAKQXCD/wmrGBCNp6J1xx9U0CS5Uji7CY9uLfmRKqQSwz3kXEri7nveyY25IyqlJ3OQPSc/kiZOwG/lEIR5G3CVQFMbLh29U1YlNTqzlecqlSansdyqq+napKtanucql4cmtEOVYi9mR2VTZOcVw9Xg5L3SdwvsnEkMyHsPhu3hyf2ON12KYwWvZnuqZyWKg+rysKLD9NBCDE0VAgmymhqtlS1eJTphV6tdwb8LZCqg826PiK0okIVP2fRPUKAsfcY+7P75UiQMdcSqVRzQHWO9BhVWH3k9rFUL+VyIwSArun6IAbynlO0ClYQTuyuCMFEnmNvqmMI3+ewKuZtCkbqtV2fb8lTbk8M+uT6f3XEyLqQpjowZRHkwFhfsKrTpusqGBk5ElfsR1vI5sH8W/zX7LpCo6nWsfuGHY/LSs34k7qg0oPYnGooTWtXKpJKzphTXTaVJGoco0sbhUeKbfTw5Ppv5gvYsawOz0auLrP/wASRSpN91oNzv8AouBHiU6VP2bs1BdIcVSoPfUpHwy7cN92PSeq4XgaTSAXPJ94lX0vUJtiB6IEJ2SnMcjcFsgHkeqFikIua4dkDSyuUwd16qAS36rmV8K2iGdtMfdZ+6n95aTvCp+LFRzfzhUQAbLSOxTEQESSN06XWtePVX1Bdj5IU6QR3K28nZQjCeOiM7pj2/3VWhWmZBVcbiW+mEKVQC4x6ptRkhP7q4Li6s4YB+q4qnJPh0293bplN81Kgf2DMkou9zhj6T1X7FeKAe8tqf8Ai5j6AL9kyD4lQg+q/ZvCNvZwT6vrFyoljnTbTZg8q4SHt5hW6Wnb5rjOJ4Pxw8Sdmnr9VxtAumi+0fFGNYVtQIOYrW5TQE2FJRlSJQaxDxJXdMhcRUYxzY53WtE5XE0a3NVBZbkjv2VA4nK8GCGwNuVOc+ixlOzY39Sqra7beQPJdd0Dh/ZP4djnPcTWeeWn8LR6qu+qXveXEq1jSVzOajGU6IaJcdgjRHtXtXCVWG5pd8lZxDradjegXJS+SI4qoPVFrN+ylXNqu6AJvilrybUOggacqysId1HX7qD+4n7vHkHVX+65vyJhG5zSDLdx1TokZHcKpg2/lleKG30tusQqNIYbCHdBlM5RNzW5JXhNgOl36J2Kj/eKcfi+q9SqY3KbrjZCE0JhxCa8KMWfmi5tuQnMqFj8hPp2kD67hd1c2UOhyqodzBUau7VT/DMoQfDDaUiC9xJIHov2RwtPng4gkmAqlPia9OlT8TJdS9RtuVxJDXGymz4w482OkJstNBtNtFw5uX/dcOOHp8RScXS+HE9VxjH06bPaZ5WlMo13zJ+Wy4WrRLKfD05cZLrdvlrc6UA1Cxcyk6SQvDahto4hOXE0GeEykzebuqrlvOfyVCu//wDctB9TaU6zLg71QeG3btOCm0mmG3O3aOiNR3iEzfnRj+GIdRuHcOghAsp1AcjDh2XtMbEK25y4ivXvzA2T6EB2yo8Q1FlNkdAj/wDUI72r+pT3uAHVNaPC6U2Fz/mgKyzrDlyqoXYTpIKCCnyx5Z0cinfup8jgVRqHnon5hcPWbzNDi3GRDgqDJgLh2OLg0A/Jdiqzvihdd/mukwqYY+pG2yNarc7CaGwArkGC0FACblIQeFLFssT6pwaSpElXt93CpVG+qe1xBCjmHRHwsHHVPZWAfv0d3U0tipFzIlB0i6HdWlVQ4h1N0eic1s3dU94hhx6qvUYWuGd2ncfIq6gw1hZVbi2Itj+y4Sk9jnBprGA0xunmoQCQXmT8hsuN417Wi59vfZq4fgqTqfDuvquEPrdvRunGOst4eobtuXdcfVe5opZaQDOIlcc/in0i0CwAuM4Eo8NPUd+6dsE/wsJ0lGdMqymSnVKhTihCamMcTCJBUlOGyrUgqXG0L5Af1Co1KbrnWdlxNMnln5J3ge61pjeMovq8RRc7/MbLf9TUXDrLVOCrXWuTarVV4SpHwplegCg/i6Tx6foiHNHorbqx6bLwv2VVqnes/wDROa4FCVKwpKAVGGvvVzy6VI+4cTo4aEeUfejybzv5YRKqE9B8zCr0ng+K1p+hT2tEkfkmA5QOwTfiz6KVDCYU1e5VlPw/w7/NYRcfRNYyAMLh62+6txcrGgLdQFhG1cmVTGPVcLQda3MLhuIItdB7JlRvqpBVlSpTcMf2TmGPeHZOpvABVKctLT6Lh6jbvEtP4oVKhTALy49VTc/3re2ITLcOn5mFX8Lkph5+a4usSytw7mfhcBsqtTwXGPZDDl+z21nPqOfxD52HK1cRVZ4YAp0/wMwEVCrWeHeKXKA0xj6p1RtOW8rjiD/cJhrSAGx+Hd3zTndVCLqaeap7JlNkhQVCuEIIIQgEPJCq8NWbUb+XdHiOE+0cM+RHMzsmM/Z5rk3ZXDV2K2rfSqWuBwqrOHkBtzhJ+aFMtuHQJvEU7mqOUplfovs7HAd17k9im1YTxRbSYFU8DhqbBIYMp5YC5SoRLVyKCiDB2XhU2GZnyk+YIBAILCCC7JxOyf8Adn7mVB2XDH/MYXHoN1QZSEUgz0hAbBRJLIT8yLW/1ReQ5zzlbBeDw+DBT6lYuKdcLtyUA0D80KTYlVG1fCpe8qxb4j+OYHbxMp9WjfO26c9EM1wnC6JlP+zGGy5Op0W0hQb/ADE/EVVFUFjeadgq1jDUFp2cmu6/kmNr03+sFfUFbFX0m7Xev9iqoHr2RduFVpAuFzmotO35oPOFUaTho7OGFe/wK/XY/wBk7g+MfTO27T3CGuFUPAcYJwLYHq4p9Nowi/onX5CaAmBVHS0NUO0zoAgNCnOUoLOnEcPxQDBcHe81E8DNMQyboW6rMrOhyqVWvB+FUbmh43CoMwHKnU52OyizBCD1yAhOLneib9U8ok+TCMynmZXswD08nN5AgghrOmdJKZ2UDQou0b2TOya1W6S5NchCczyR5G9k51aGMaPWFZiU+HOBx37qu5xzyhMcb3Z9SMKmFPMcDp3KcbAjLY+iH2238O6g/JVOJqFzdmYHzTnPv8bPW5Z98T6BNos8NlIAnd05KGMKBqHBMLcqypIGOqpTsPqmsOG0x3gZVI0nNxEFPHK5E0zlEvZJwvaQuWzcf0VYGd0w5jKaAFwvENkcrh2XhVSqg528zT8Kh0iQqf7Y4LwKhA4in7ju6qUnuY9sOacjQ13rho2VHhadQWbkfogSmNTIwiQmlUZTALhqVxbhSPhPPiTZj3o7KoGgkGDsda3EVKWC1j32+JHLK4bhK7/EryA2LS0TnqqDKkUnl4jqnFPVDhKIbSYHPI5nou9nVE+ndN4esalHNF//AOPoorlRxRH4mlctB3+oJzTunCAmVAgFcxeFS5WiUfsdSsfkFIWfKPNlQPuJ15tBKb3TSgoKCCCC3WdM6CE1QdXHXCnqrdoA+ac+PwlD5AKtUIazAKcWuudy9B3VuGt5juT0RBBOVfDlBu6NTftdVx7q+LSjTpNZMRkqgd0XbNtQBuO6KAyUNGIOCLTBCluNuid+JQcq44CLWrf0KyERULmnrPyKu6Q79CgWf7IsOT/1VPdpVzO694sfB6tPVQd0+m8OaYI2KpftmgLhZxDB73RwVNg5m5VGnsFJRtTpKcGp4flCq1FrlUmQnvpwiDpKfxNGRRaHUxDjj9FxNbhHcgos4X3WRh13ZfaKLar+Iaxh6fEv2Jw5tsYX2Q6evzBTmR4FFvPgBuAf+iL3RM9XO/Ef9k8dE+dk6Nk/8K4kVGuA2KeQWu6/qFVa8PZlqq0eMok/iX+EP8tQfrqWleO6J2TqbkKlJwnJXg8BQpfmpCOolBAoeGt1hEIzoI8pRJ1xpnRycpOgAVqnRyJU6lhXdSpOh19UQqbveB/5VSkPJI/1thB1PddBsmUwcSeqcTe85J5WLw6ecvci+oAOnVA0QY22CNoAwhULiepTWjlgKJCYYwrp7LxKkQms+ibuXJsboKi50FyaG7yEKtKeqFxBT6bwTseqBO66SEH0nBBtWu0/iQDPmroP0cFG5js5Hfr+idf7sA9FCLA6D0XD1KnM92ctPb0RqV4mVRIGyo0GYxCp1HeGX2no5cZwlWysPkehXiOym+HKwYT3BO8ReA70XjRCftCa2jN/N2UdE6dtK1J0sMJ9VlnEOx6iWn8shcYaYHC1Q5k+5IP6p5cbhEtc3PqmzaBGI+nZM7JvbQIJqptCc31CpuMs/JeJw1Vvp/RFit0dTqsg9Qn5hMqM3goOwcpgGB5Cj5TuuZQiiTodDqSVhCFCzoNMKdObTl0JKhCNHOOE9OT+yPkynMdgriaxAo0yXfi3VWnwh8QyU5787dlbyNHMrDe43P8A6KoSZPMf/wAQuwRgj+VOaXSh4ZPqu0Qsb5Kr1agHTr6JlNtjUGiUWumVWax1jlxFZtVr3TbH6p3hvzsSqp4nnqkSmS1k7oQr+ZqxZVYqLpdSP0Vai/LVc3q13Yr/ABtT1CNP1DhP1CMyFAzkItdactRtEFAG0if7IMc7rhfs6500HNdOYKoscC0FQwBOIhNqblUX0vB4kXs6HqE6gL6Jvp9x0TuI4Spc74k26FTWMBEnKLT78K5nQpsZQqPVLsmt2Teyc/on0ajXjdO3IQBQQQTUF2Eprk8jAVRtTfKbUZzdlWdhrLpVetxJpEhncu2VRlUskYMT0XHiC00zH8yezhGNAy9EATjCKhDy8yG6yoQIQBkaZU+SFClNQWNM6ZWFGsFYU6wiVUcqkJyIKBCaOiAUKVCZO8fMSuGYwXcS53p7o/IJp4XCdkoOk9l1jARLAXbuyVkQpdHqhNT5L2IXrJ7J9RyFNkNXNKFJidUpVYn8Sp8U43cQ4+iocHQLaMXdZUFxP4l+z6putVBvEtsZaG5nusGD1QgB5TLrd+yp0HQuHr8rl4TsHlOy/wAZ9F7BvyKOMoEJ7m75G3qqr8D8k9tUEvQv33TmVoOR0d/by8LxdFzX7rj/ANm1iWOuprh6lJ9nIT09VVY8h26cECmlQVDUECoU7pozC9EGq1CpqXYuhVZUblUpuL9lwtRxtgxvH90wYDk2+4HZElcUy4tYKgnYHmVfwuT/ANqLzJblWoFjfRNeJ8hQd7ys2KkSocrgiDoQVLVCyh5IGgUKVjTOg8hciiho3smEbJk7IdlBRDVG6b3Q8kLKNwhv5q7hzmU6EfFjYTlU/wAMAfmm9N+3RWg5mBunXtlC+r+SDTaDsnVqobPqU2k2Gwrn5XiXuaJjAVSN49dDTcajN+3deIZgrdVSLGt+aFNkIkeipdU2sPVHnu94f9ynsfur/wBmtd1Dt1/iQmmkwH8JUBTJ/NBUyMFA7q0Ejog+o4Oas7+Spw1YOam8bwXzCq8NWt2TXtDaon1TSOQyrVCZO67EKwoOVR9Z5OAqcpqaBo8pzU17ZCCCzuqjrmim/G5jZOdVdw1aqWE7OVPh+EpWVbnMcC9o+PuqjeFrA70zg+i4ilW8O5PDA0HI3VHhKgZUcLjva3b5p1eryHkb7qDxKCtptPoieEv0hB40cBhHqsBFVJwp9dMIuCh+kFDSQsIzo4lFYWD5MKUJQjyBBBBSs7LCcG4TgnIk+U4DVFGHPk9U5xKIqd0JOR9EG9FhS+eyLhVPzUZQpUKzp7LiuJ4gNbJyqIa0Oc13oM5XI0NCcd05xMK4KY9U1v1Uu3Ra52U8bH1TUPDPcqk5hBhxCb8JkT9Vb+zg3u5Q9pV3B0ndjCg+hQu+aaAO4RNTCjZRwxbOXd0S4h3vDQ+R3u3p1odCDVHVNOHiVTrf5dT6FVqe4VRqa9tpVNtMj4p3RLIbumh+E5FXlOadlBRBwhWbjdFNqVYeYahw1FppcwZ70nMKh+04qspPLmHInP0RDpa90gzkQQjUoPJHNiU37ZWeR/lER64TmMdPvnPyR+03dwFCwgUHUwv8L4cxv+qtBynxgp/XQFMhQEbcp3hmEY0wtwsyiE7TCx5ATphR5soJupRVWVUlQgoCvws6OCI8gBRbUZzD5n+yFs91PRFpRmAFzhWMMdVDKw+WjHeICcxsjSD6dPlHxHq7/oqdLiBJ5G8v/fzTLMdR+SqbKBCaAmMON2j9VV8UEbTsgQJHVMc3uhKAVnKDLk8OvJ+a53fNSY6DRvNScfe/qrd9k5ohYghZQpUy/wCIfqjVNyLjJ3RKcjrUoVAQqfE8MJ7L7O7xGbFToe6e0byFw1X+UqvRMxLe4V2/5rkx9UGukdVhcqITXCFiWpwKcwptdt3VFrlw9o8RgIIjsqXBULW8PLSehj9VVNQMe6WE49FPiNybd5XtfmolXWogoorGheMbn9FVvymBEbBOjZFOCIOUy1AOwsLC5liPJjXCg6Y05vJlYTgU46Y0MoFMhNQAQamwgSpQhDzG8d1ScG0y+4om6eqhCJUO9YUuOcBCrXcBscKEWVblci2u30M/VPoEDdqY4Yem3SnOODhSdXBVSRhVWkNV9VYZT7ZKtlG2VlEHCp1W+HVOehTQVLeUFeF809z8u0z5B20hVaVZrbsJvFcL81V4Zoe3KKClFyqsPvYXDvEFtvyTmOBa6UKmQvDdBU6PaUZVOp81lWlMeFDGz0CFljmFzTvnKBpGtwz72jdnxNQqvY7u21yt4u3uy78kPGjuuQfNNlU+yZpKtCGgcmoJpQb5MIXISNYPkwuZGVhYKl2hIRlZ1CCwsoINKb3Te6EJoCbO6ucg0Jqa5DykI0jdueipmnFR8mJJTXC7pCmOyn6pnD8OWD3nf0RJUi7r1/3XMowriUXcM1/blKLXfVS0EdlUBTh0T+yJUptNnuyi3ij9FDDUOAArqj3d0AQhbb5HuqAOOE5rJapnvKPlEIa5U0WtcqVWjBRo8XUjbTmWNSFDoKNfmYRPZVqTrajY0adHtTX7prdGuELw5leFxN1qDOI8ZmzjzR/VXcTQqRtg/JO8Rn8hhONJyrUzK8TluhyreLZ1RZUDfTQ2yE+5At0wiisKVhYWFzLbWPJjXlRUlTpnZQoCCIPkCM4T+6d3XKjnKLqiCx917o7GVWq0xcz8ugVFtM4/JeExzhuqlSqS7Qtyg03bendDw5KCH+W/3H4mduyfRrCRsUC8/wCmU1c22jU1czG9ub8kOI/aDbciwJjaLKQxJ/P1Qp9voirtDGjZEBU/BTbjzajzSsot2R8IfJA1Va5ZQI8hBXLBTtiA4eqoO2NnodlUb0x3QhBPgOAToRTlTrNDan5prKgt/JFghXNCF891grkKiplquKYOiClWot8gTSPdhFrlOvMpOgQUebCwiTpjQL0UJyl4VlPWVCK5EVH3E+SmK/OAfmm2S2pI6BP77r2SOk77KXT0anOx0QG5VKtRLDUAOCBO6FamQ889L9QrnvE7CPohMQslZJ05kyi9rjvBhQXO2z0Rq1C5/wChTPFIa1zY3B6FHWPkVsRsvDqN+SBo4TtiZQnSEUQghClEnTCAbarnFSoUaToIRamvwdKrNiqFQczIPcJs+9c1MayESUFnSRB/NEHyAodFHklW9FzKTrOha7yc2hKKjy5WNOZBRoDoCggKgXsfIHKChYhlQoU+Q+SNGeIL9lQFNuLG9J3KZU5guQuRKudaOqBMDYK2mB30ITKbjdTmRAPZBtYuby/rK/x4HQtK6qVM/NUwubCNOpQMT749F4VSqKk4PKAqHgPbYQ4t3RcSTnSVGnOmBzXRjb5KrTEg4Kc7chZ1jQpyc5OGkaXeU6yi1ye7oSqmOQ5Tj6K3/wARFp6FAoILHkjQkoeSArYKnm7qXLmKEajyYWfuJKysKUJULCzoIXNpzIeHpGk6YWNJOsoHom9l2WPJ6Jj6gc9/+6b4W0NGwQthegQY3bJ/poSfko1e5vvmfmq7qtQ1HSGNgf8AMhaU5G1ZWd14nAuPVkPH0VQuuchOk+TIRY4QjX4UWnpsi1xB0z5RKEbLChFHSD5uqfXfa3eEytUeastDenqqPBtIZm47yj1EL11KjddjKhDpr+qgwU64BmRG6dGdZ0cSUc0yhOya2oQrgs+aAjKcjHkOkqFhY0jyBA6nXOsN0JOrijpKwjCIOknS98TCFJjWgIksCp7lEuOVC5j803T6IzhGn+zg6M1eb6dFv6olq5HJzqgUJrgR0I/qi3iXM6NML11nQgphpOKJ4jCdTYGgq850PnEKTqQV7P5I6XPAmJ6ptvM75Qrdymk/VM8Y1JTWRKmoecEdgMp917XGFkZWNOaEBgFOD1cE4JwAKKlv9Vf8UpwptiYHRWj18uchRVD2q2oCNivbuXIFnQ6WoaAtUOWE6UR00lc3kPlhFE+XCN2kLl83VFmkoKdb3DGE2n2XIpLVSsDWtkqo73oRlWE40cUe6+18XTpdD7x9BuhEAdE0dUIXIfmpcEB0QDfRN/8AqfExtdr30NybcEWsewd0JJKz9y9PKPkBag3CyuApQ41b8bRKotED8gjcUydlzBvdU3zFQY6HZOAJs5vmn3k2x6IXfNT1QY3C5C5d9cI7dNIJCEwolCB30N6gILCa8FpW7ey9qUQzSVPl5FzKdBCLXLl0jWNc6FR5Ao0yoQUol2sFYQDFanXLCKLtMohgPRQF4lMhC1zZTjUgNwBk6Y3RXpoUGcK6r8VQx9AoC9UdlFM/NSoblNpNLKLpf+jVfneUR6rqNOikj1VpCghQ2O/3OfJCygso6EbFcU34v0V2Kn/uCczJEg7OCOHR6aEFO7pmJTqdSPyVR1QBBoYwLCzpOkI4PZWOTfENxUY2Moq0rH00KIcoc0oCqiQiQnMfoIU6+zR8RY1H3M+TKxplTp6aZWFlZ8hsTnOUIwiTqXu92UGMxIXdyphmChfJCceIu2aBgIGXbqq/aljunnrCcj108J/gVPdceU9jqACpbCanPc+jQMAe87v6aWrtpIXtFDEZ+i5h67Jwb5jrPkC5llGUC1N0BaocnsONuo6KnU4Y+GMgzap2QnQJtVg7tQBLlNSUyMrhtzlNJ2hAaSpaQVNNhnZN8aHbFVnsGMtMXfiChSVn6eSWoism+FoC1RplBZXs1zaYUaE+XCgqdYCzoIQ8sqNMrOslNLVzqAio08VwC8LooKgbSVUc33VxAK2ClsJ1zUWjm6pyevTpoeJp+E/32DfuFheqfeV9j4Oo74owpcfXTl0nZFQ4FWypl3ZNrQeyAqQNSj9zKzplAaNtKGmVUGfxBG1zreeD9U+3I1IeEM9kL+VYkzHomgNaG/7qjm9Ms3Q6FcsL/qi0cvzVtYEdTIVVtJ0f9hFwuuwueEbk5HTmT/FkDCc2kMLGgGgCkI3BGxQV7RoCwpXN5pUvQUauUrCg6YUojSUVB1wsoQhKwggsqWh8rC5k85XqoCzkIOAXKjNtUoAHl2VxglEPtARyqtCuKjDBC4euImHdimlvdW3OdsncTxED3G/1XMsrCysq2oMbqGQi92O6IMeicDC59vvs6QjKliOhpvmJTa4JrMFy8KWg4C5iBumltjsJzDpHzUsPfdAfCCVOPCAj1VVxk9U5sgU5Pco3akOwnXDrCZR4hsxa73D2VCm5osJJKrH0YZN3Yr2rhPVS7HZEpwRjSsKuNk57c6GFjUwuYLkUOQNUnXPlGgnzQUIWVnTCCOlzUR5IUNWUIQjS+qE1lMQNCn24R0K5w1cqaXMT/D/sgXfog4z2RtJRRuwuJoj3iQqtWgW+4mkJpRGmU0lTS/0r2hyvaOWRKtqI7/e5R7LKqn4Cq34VVa3ZUw2KjVQqC3aEwFgb0VzG9O6iI2KhjH9dlc6URg5HZAiW60Mo+M4gDsqpOXo04g5UulN6piAqZVOo1wDg24ZTKnC2OJD2zCNWjbcWxh0J32SlaWjvPqvbv+aLSuWU2YhToC5RKypcdMoLOnKuZZcsIqFlY8mPJPlysrmUBS5YQQtQeEWaQiuVTqSntqNcOivpiRpc+JXLEIdlcN09pyVbUaY2TS0GeiD3/VAO+YVlW5FuPVDwh6CUWskr4nICY/NFzsq22RhAqUGvt77KFsg5kO2Xg1z817T6IFhRD91fS2XN5Z8/CBod1XDW7BcOKuAsYTySj1CvVQHBTkZQiLx8kDSc0OG6YwnrG6aG0yDuMq3cxCkeqqAbFYDuwTm/Ve0OVcdM6OqRCqMTXe9v3Xhlj7g64c0Kr4TKQZIty7sucqmAI3hNd0VEHZBAdFcdOiHkauiFquKF9TGZ0lQub72FlZWVjQISseTKjQeSFNLJRutHVNY31Q6DRvqE8g9VLU6VYWT0cvF3KbUaULoPzRcSD1K8Wr6BdAgaqHiT0Q8L6otHopDSiLD81dyuTmPhDY4K3aga5+ataoKc9plQ4/eEIbOTHbFE0wFTYFcqZJErhoLf/wAuxQZQE2vv7JjS0t2cmNyRPZFzjFQAHMdkaoEmUOtTlBVKpu0Qh4gd2TUatUNulvWMp3TKciSi3dFiuyOulyDaTnCZG+ECyQDanENyvaJxGdGDeU2EOqbOPJI0yiocjC5URxRjY6YUrKnXHkpVMXw8bgp9Pi+Kp5cw5a/oPTQa5WVClYRlHQqfIdCjo0JrWQr64yoboT1VXOUe66FZQhWv/NQD6hOFUlWs9UZPqUBRJHVEydOVvyClrvRWUWu9EHsVr0b57gIOaC3dS6e6AqBENRlYRyfv+cSrHT0OjGvuCw7sclOquA8KBG3ZNe1sNgKIxKYGcjLXfmnNeGgb+kKtYSQP6q5qmQVM9PVVGgxEyZTjcW7IyBv6otmN07rpyhBpyoeEA0C6S9PF9MzhYQ8TdXVoVjoQlZUjUa4WVARL0bUYQp1AVgLCwubQeV8gQuD+1upkOD6e7iMBV72ltYGn2ifLlZ1EanzSjpCI0zuocflo4jQI9FO67aCVGy5PyXNav8z0RLI9FiFy4V7COoW/yQdwz6ZOfhQdTjuFUDvVHFyAPKUKn+yaWqCWu2Kl2CoU0ys/fhzLHIsKuYoQKA20yD3Tg+jsRmQVTcA3Ley+IPlMNUsANx3WbbohEiOnohTMsGG7/NNqNlu/ZGNfZfI6EOlXptxce0KNllf4j809zM+83coGmZ/NF4uCLmkdVJMfDuU5GfJnTKAACle0bnyc3kuRQcwtdsQuJoFzb7xby9wmGk5hq+LPvE+qbSZa3b7nGlqJWNZ1CaEIU6F7k2kwQgsJ1qe5WoH4dJUv3TZjoEDSDkTWcudzuhCkLf5LlPzUPn+VWqDKsquB2TKguTH7JwdCtcmnI6ojMJ6eVNNZ/cARBUSpedXD1VzSEDUbH4f6rClpJ6bqTyTdbAKcfAbJvdP6IBwO6aR7JxtL7iDuEGp9Snj/AOVUc4dj1UdZKIafXZYQ7aAoQVlAVG4zKAE/moEfmjGgATQFnyQdTKPjQmsph5HVNMQsebCoh8eIJ7LiH+LTNMBscrlxHA1bDdWDzN3ZUWVS9rcnyiFHmny50yoWE4rKuchSpo+LvgK5ohQnSgNyUSPdTu2h2GkuiFywoqIFgRbITbfmhZCDGKKDc52X9FLQVaspkifzTXsRplQI/qp6QiuRZ/cSCnNF7dlcydWndNZUe2MnM99CWmN4KHg07fwhTUY6NgY+qqVHQMYlVGmR03Qb7S35hMqNa5j/AHTEAbq91FraRb4ZlVCdo7p0NBOBt9FmEPJlZWdHEGFVRUlQFOsqCpTWMVE1QAnu4inSs5Z3TQUIWdMrGhtGRnouFM1nt5ojeJVUUGVKU1DEQqjmtL2lp7HySsoQsLPktV3mxpKBChElNY2YRtWcL2AlUz1KZ3TQvReic74VaCpdug0KQfkiETYz8kHVAR/8KGn0Qtc6VNI/RFzsdFIW4OpCdA0bGUPVMlCxDp+4lEYOyAbjyVLA8DbZBwBCghRcEfHcOga39U5nEAcxk7qjTdVknHw7fqr4DHb577qk0GxsdYWX/wAzkA2H/moWfNzrOjQ1otm5Ofh4GUG6YQDkDpY5AiVJRbRwh4lxKcfDDFjyZWEUypUudPrlUK1JrHjDfdzshwzHjxC64zlCVOmfPjWPLB1KjClBhWFylXVB6J522QAVTqIRCeUY2XroKYcnVXeix/RC+FD/AJJwesfVFzXk4Y3f+wR8KNlUa6QYKp8RSqQLazBdjZ4G/wBdGpiHUJtqe1shOlErKFiH7kQnIuKf4tv6qmxpNQKi3a7+y/xHuhodtHdNJUOafoh49f8A5R+ipNIiSg6ptOAvCdb0Hu/JBlHxZ90wUKe2xUoj5L1RWNSpqAoy+NgnjdU5k/rsg07q+pg4XKpCIcp09qURgprBhXMhFr0fHZlEjKwoOuFUqU3NY+wu+LsqzuFzWu5nQR1heM57SwtLVIUHTC5vNnS0JzvN6eZ9atcdgobpuVkqo4Tsj8VVwH5Ki04cgBklN+ioIO2CjdMvaExrbvXlR8O7rKDof6KHXDZZ+as4Nrf/AFiT9BhToRxdKO6gor0UJqBbCDDIKf8AiRQt/cso4l7SO3VFuC8P+ioAtId+icBi0o1DLtv+8KVe2PyV2/vDdS0qRUd3ef8AZbFPPDxbjqVWLgWyR6bg9/VVarqQiGjJnuvCdactKg+mmfKEW24lVAyPVHwxJUIOymve7nt7IwQsLKGjWi5Mc+E5sKaaLqsdQnfa29QU09FbTJClx141tjabG2zuvDpuvFzusCFQqir4TLW3THqoUK5RpJ82VAQO6Z0XNqPOahtCbRpRpdU+SikEG00YV595UWdf0TQfdK/lU/DC/mX8ytMzKdVqAuKAMdJU0DCBEbHppTrNdSJguyw/zf8AVOZLSIIOxQuXg0n1z2LKXq49fonhemnZHqgWp2zkydMfuYO4TLQ1wwNiOixvI7rdNO7rQqYqc1TH9VTvNk2+qcw+K3p7w7hBwBGxQFBzn7Ak/mqjuZ3Xp2RgGeuURso+qFelZ8Q2TgMolOCdpnyUzugQB2QTm4VO0SocVbIVytOjjSXPKBYoEIE3BOHFm5+yEoGkU4VCsLhomrUtkwFxg4/w204pt+L0/wB02lx1mTedk0TAWdMeeRrIUog6Y8klApoQRJTWmSgTupwpqrMaEHBWM4X8uE93T9Fb1TQnPPomDZuVGwQpUvUouenMx3V49QjcVyLxKY8bhr4EXt5T9e64alwdLiOWqajjyOPufON1Vrm5xkxj/YaDfZQgUZlENTTgpszGmEPNn77KwT1WVa8umZ66+BVj4HbehTnUaN3u9v76BQ/5qYTAAQoa7uVYi0hNjCygFc0ayUIlHQjCMq4oBBYRFrVAWFiUQUz7UYOZRUhAvC4FtzfFJdMQAqdLqC/8XRnyVLIa8GEJXKs6Y+5yrWqco6RpKPlCsYj3Qglc5QQOAo7rCA6fREzzfkn1HY27qmNymNw1OOAqhbP6lWjJV1UrncrT81P5Kl4TatRtxOwKKDv29Upnhr2gdR+q4B+9Bo9W4/ojwvER8Lvdchs4Lqwp4MFP+iws7ys7oQhH3EeclEoo+Q6GwZzlOHTGniUnN7hF9E03e8zCLgE5zZOE2BdmEy/0TWNgIMb3WLinOeZCAEqRClWsjUJp0z5CBrdWA7KdQ0kpv2gkJpCkYVFjbqj4Coht9J4b3dCFSmDIM9kKJdBJk9VB0xpjQqFhQdc6QUNldqZ8hCgJ5KYxNARe7ZcukNwpRa1AO95O2Zk91yZPzTGN/snncgd1TGwlAuzn+iDWFxP+kKpUMlGmM4KBJUlcp9QmmjSt2LGquGe5Lrv0UCqbDDf1VPxGtB3CH2AO7VWx9USMHOlJwuhAK0e6hdsiDkLH3sonQBD7jlKevRNOIRbxQqNG+HItuHdNGFjQzlS5FBCEJWdSiEdMoTCE48o8V6ysKSplUxVcAoK4llF3hRMKrXs+0H2nW3EDt80H0yw7HsmUaTWN2CzpBWNMIuUHTCk+SVzK3yXJwXdDTO6/mQjCFquPogGQohAq35oxJcEwlU5xJXf6BdVzR1/omtGTBTWstaN057pdsFA9VNSF+ikSeyhoEdEGkUHHmH+X/wD8rmsf+DJ9VTgepheibxQbTZ7rMuPc/wCwRYgQCCo3THQ4FTTjshKysYR++xoEEEFKb31A0GjYQ285J961V6T7XBSZ0wp8oQ1ws6blcyxo1jC49FTrVi8LihSqeDRvd/RcQD7am24NECNj6qtVHJVIdKcG5MlHyGVIWE3YoPGFCb4aAJ8lqL1jzCVjQ6FSMobN+ql31QFRAulSnnZEevyTz6IpjBG5VnzReYnRrPn/AEUzCOFsFlZACN09ZVKuG0+Ida/4anQ/NcBwv+bX+gyVV4o2s9nT+eT80LQuqc0o7IhN+qYToWoIfcHyjVyxuinDqijBOoiNGwoUC4LbKlZ8pLpd9FhBQFK5gheZTANJTY3QCadM6cqgqWrKZa4O2hUDxDmswO64GlRc2lm39SqlU1S4CQfzWUA3XGjZQWCsroVKc0FEnTGrYU+SE47IqGqSh3QnKL9tlywDlWCEJnsuZDumHoT6rEZ/NVJw1OOXY+SjDd0P9yioCxcUXD6rCgXFe93KN6JgrluV0ppCfTKH+6IRLV+a5R6q5rgU75rZWrO33pR1jQo+TOroJ0kQUWuc3sVlOBR0a7XlUOMr2eE7xEZRL05zvoi1xUBOHVOjdOBUidOVSVlRp47vD/FhM4IsDSfCsdees/8AVVmEue8uce6NKuX3b9NJGmVhYRRWFlYWESMLOghZUu0zrhY31imoRJnTCAEBE/7oAO9FdVOjpgKPmndKn5IDLnD+qZsvoFJycL8lKiPRdVtKlpcjudym2x2wuVWkg/RDZSzbKLcwpHqi12yB2RwrTKuy0pwd2RhHt97hH70hGU4otqtd3wUSoIlAbIg4RQCu2RyCEajRIhNDYRYUToB9zzIyFjRr3VZbBm36qmeIqNrFzA3bGSVlvUFS2dJRUKoXgNUIKNcaXNVtVC1ZOnMsaxoSdIQvgIOdkpvQKU4oBq5fREUz6rnKgaSm/NM9J9MpwWcoAbK8wmtwCi4+mjnLka1e0Lvwyj40BBzIXOW/kj7h36ImEHf0RacbJtQLcdVDl64RGyYXQQrIxhHQ/c5U+SFKJ0x9xnRrgoGj+ic7dOaEQoWM65UlQpemxoUdDI1iU2BoU/7axzXlrmDp6qs/intc4nO6t+ikKHeQNaXlV3VcjlQlR5MoNCa5CFlArCxpAWUVlYUU17RyxlBolCZlE4Gmcrooepbof9ITWn300DElT8JT+zR9U49fqntbARO6yJTPGhSzCNNq5yPkiKn/AH1UPPzCkqYxsiCgC3+ZCPUITITbZ6hRWCwfRVGH0TXv2KMDshP7g4lH7vKnyBNQIXNHUfqtihrldlyLBKz5HSu6zo5d067ZF7D7MYdj5oN9SnO4yry7qdSVHVBzm5kKmXmk34Vyq0oOarXqVhZXJphZXMjrI8kL2JXMsouKkpwEXYUhGdOZezCyuX+6Ydmz3K7x8kQ33QqnQBO+ZVO7m+qaM9E7HdXVi4kQdkS0n1wgh7yyT6rKN2kOe35qaLPRSRo00SpACzcCmuzOVzBE/u/NoVyp3ZHQBCFBWUNGj4oTK/o4dUWk/qgWlPKqqo0ozlCoBhBtNQ7XOhRWNJBO0K60Me10/p80JbHut93/AHWVHF1sbhYCCFqGU14hVqThDuVNvJ6qG6OuRidMI3LZQuXXCAKPlgqaJ0EaR1Ti8LG6lyhi3KvYFB3TqnyTYygOiJ6QmqmxkDHcq1to+LKk5XOArcTJnZCwCUDu4Jhdj3QhZK2XVQV17rfsVGlrnKZjRuhFIIIIIfeBDU6HQJqCEJqgqEXKKd3Yhe3rBAe7+aNgIcupKM4Rd8WUYc3aVlMKYUA5Bcqlx8w0mUajLLi3rIX2WxsuhwF3eE3xxR+zvFOeZzt89U2keR8yPquJZVHLkpz2tnBWYRVqJqq3dObxL5OCuRZXOrqatKkItKuOmNOqELnWFBTx00EKSoorn0ymwnnrhC0J0ScBN05XDR/qjPMUN7fzTSYTujUepVzzhRvunIyjcFB9T+gUg9UY9UeXupWGqAFdhOaSnNhUqzPX9UR8Uov2T0MIAfcDzlFHzwio1lGU2EIPUfGPT0VE8TVLDIOjphYklQVBTShCe2tuhCvJKIKkZTd0PPE+qDiXO91mXLiuJaK7Gf5kxzRhVGNc2uKhknmAl0DdOruKLRSI+FBlEOcd1LZTQgWYQuk9FREkoniQ4KWLKgoFi59MLKkrC5lDVhE1E9wVCiJMKicNGuJWFzHWSjdCaE92wQa3fKJVjyEVUiZUYlNjLf1Vo5WhVerleSSSV6Qijr6oQpKB2RUZK5Vz/RX0/VFrvREEw5Sc6D7sfehDykaQgjMtdlW1Z2XLKx5XOwCqtzsbKVKGhQPnJiE2Bw922amYn0VlVjW1jNsAz7rOqe1wAn3d+qNIiRuqf2d1yPhMbEwh4Q+Scam+ELYUUT6oOXt6ZXKdMaZWfIYRlFOdgK3Lk2izCqVd9ZVrFcVnXroMS5cuNGgFRUlB7vROw0YVUuDWrHvOJTx8KJQ7oIaxpO0I68ykhQ5G36K8wd05GcoBUx1TXBDSdcahFHzDTPmdacSgB66Qh30EILmT/eATjRasLOpVuQg9hHxIioZ+6zo+jWoWfFsTt9YVB9AeNYCTkDcriPCrCHUydpg47IUKeXXHOUx4gshB9C3ui19Rh3jCf4IuOyJknqoKChW8TTOSsrnVoWdYC5llShpTbkobNT3HJ1ysq1kLdc+mUFc7eFS3Lp9AmRAGl3yTb91NPATnPlNbzHKxJ2X4RJR6u1hdV1K6ld0REKUFhcqhS1NkXKoytDsjoV66FF9QJrAjo0KUAFnzx94YCbbndWjBR0zphNlC2CvDYRpJ0KgKAneJIKD4PXWVCnyRrTcX1A5rMQwE/COyY+pRLyPZekkn6IisQcIDEoFzMoeJATRxtI/iEKyu8eqgYT3yUWuQLQruIdj3dMqWrm1ws6S5W09KBpbhCdRCl6bSpovyolcy31danXZkKiG4BJQ7IKpWqjCeymn35Ce4jICLvp1RGAIHfQlR5JVjs7KJI2Kg+ijTlHqgYB6qx4a75KZHxDIQeyDn+2hWU2NCoRJUadSgp8kKdSiiij5idzrmAFU7ItGWpsHuoCboZ0CjTCh4KElTqEPJKzo10P8ADDmsEkH+yos4WjTdXd4uHEB3dBuJJ9Turk2lGU0uuCz6tTnVGuIw7dNdT5UfBj1UhdEbzPVcqCEIFC1GdJOnOh4ax5cLqjcp05kNJKDB3Xh/DKrHZgVd3VPcVILyhCbOB+aDT3KDW5RcUMaTrGkiCi3CzK20ulYV3CMeN2m0ovAK5SfXW9wheFT5h98fuTCOkDyEe7untjKe7KeCnEYA9ZWUXIrKjTChHzDz+NVoDh3iwglx6wE1nEucGgbwuZNnKb4pzheHUZ2K4VzZLN14FSmKbYa/H1VRtAiocqC71KJGygGF1gbr0jCysLC5AgAp0ygsaZRUrKKcGqDhHcqGle0JWdcLJ0koIUmGUSCdggdh9U0dUSd0dIUa48mViFKsfnYoeEf5SjFZnR2fyWIUsdoHIF3Mh+5DyjyzpBWdJT0eunZWZCuaHBE9FCB++c3iOJ4pomx9oHcN3VGswPZE/EAsoNElB+ymgREp7mFO+zgn4XgprmiD0WyxMozCtcAEZ0lCPKIUIOCCYFlOlZQhU4TCZAULELfTHlnovVBq7onZoTRumxt9EdzuVsPNjXbTAXs1LM9QQoE6b6BQyfv5+8KKxq4qNGgashMqttVhgoeQo/d0m0mtcXfOe6pMpw0fP1RDldDfxFeE61OyrXvBxKuZVaVexidfbo4A/kvDc13VbIlHusKUNLRoU9HQysI7QrWKHZTdwU9ybCcVE+WXBMaN0wuwtl2Cx00k6QpHnzpI+qgBcvyWfn5eeFFD98CEaYUtU9FGjlUiSMIOMJ4dIehaiOikIz5I8k+ULh67nta0Qw2k+qoeHuuGBHOFSdWaQUG1XE9FSeOUqTd1G6osoPLt03xqjANyiGruvdZC7FZhRpyohSoai5QmoBSdDKBTGBOhHqFBToUuyZUDyY0jqp3EoN+ALxGyt10XqrcyguQrKk+bmCwop/VcseiuvaU4SubXlXOvYH97Gsu3WFzEIBbokpoLZyqbDc33nYAVjR/X1QaJQD0HBEvWYIlA1IH3pfVqiQDdKrbRhM/Cj4wEBNcXJtBpIKDsoAuaUOH4rb6oj6oy0xghA1vogiHqaaN6JxpKdpIWUApKc1VZ2TgE4dEHbFEbiUyPdRHdVG9F1K94qTpjS4qGjKY3qmGcIyQES/8A2Tp3RcVnTmKz5MaS5cy/wzf+9l2/CpdPVEz5chW8MP3yVKsYjYJVr2uQKpNMAyqvTCOW1Hb9eyvdemObEJpxCZd7oVnw4TUwfNACoS7ndH0XKPNnzEVZncIeGiXOXtMol5DUTTLSgGfJeKTGEDA+JqY6g2TzaOvce6hkrllDZNBTQUHZQLoCNqMoQgnFycHKQgHZQhU1QKCHZNdOECxODisaZ03RQ7pz9lbMprJXVOK768xXMVjTCwsrMKGBAstPqiKjlznSD5NgoosHp9zP3A0CGg8saZRN05aQnYAReHfNVRQFu/Up/Yqs74ShMud9E5tQBr7Qdu09kKbiHzd+iBGjWtXPCLuib3UKNBoZUeZ1+RBBR6tR9oUX1Vzrmj1Qc6xeyMJxqPcNwqfJBmQg2m4Rk7J1jcICnBQhQoaUXuTWshW5XRSnFAoIgpy54VoQPRMXouWSo0G4WVy+Vz01rVzLOZQuAAXqE2VuVyrJWVjTOmFsV7AfJbDssvHqisoOCh2t1Vo9UcfdY850P3HNoU0tWFUubT2CLax/mzq1ipO4Z9vN8unqpcZOepXhw3dNeBjdXNQDspkJrQgmnzEnymuxxe5t4aMjYo1G8uSnCmeXdOpubDeqtevFqkHlqfC78XzT2VHXN5lVay5eJdI3QY97AcAoVKt34VZJCNpKfVrR0QV1WxwhCiMKp4q9mudANXKnNenMeqb4QjC504lEaQVClx0ndWukIaCxNKpF3VUmtAa1EjcIB+6b1TN0IkArt+aBIj81IW+u+k7KdC6iAoqz+ak/3QuKLXaA6zxDD2TUEEPMPvZ8udChbChZWGu/CUFlNLiC1Pc0wMKow05fPTZVSQZtnuneGG2xa3OjWiU99VWU5KdVeLYAU5COoKagDpGvEu9mwgsb2whmadufhEJ2xdKcRhVXtPh5cPh6/ROa4tqM2PXBTOJoh7cuAn5heLyXQFVtENn1CtrvPh2GAJ7prOHHW5MDDmVIVCmm1arBfE9VD/55yfknVAi8pzDajuu6G4TSpVqeuSVjSfiTWq44WFzK2SV4iseCEHZW65VPRGz3tPaBGMITlY0jouWFBcsKCFkeqBUOQGUC3ChXNv06q4aZR0LGOcnlFHz5+6kIjy484RJPZFr/AA3/APKe+jqrvRNptG6ZW/8ADGDyyqZpGm905kHsqNP3QoyiV7VRC7BAjQBc6hOesZUeSh40MkfJUajyCRdv81+yWAXuZj81QqtcKLMBX8RPiWkHC4D9oiytAqdHBV/2fxNO1/LPKm1D4rMB247FHh2zkrhzVLOIp+8ML2DfCdLB06hOs9U/ACe33guZpB2RvHiA82Z7oX4K4hhx1VYvumVDYRKICJCdbJ0PiLYKGp09EGDojUPoqbMDSGypaFupRag5Qieq5UVDt1LJRJ0yo+enMVlQVhqh6557qWr9VlEfIojITKrYO6IMHTm0CH2fPdNTdB5TqVH3MeTHlws6BNqDITm4OQgdliFbT7rrCc8YFvcdinWI3SuZFxCBQlQmOC6rCtUeQgpruJQDsIzPU9E5sFotMQfVOdVQZxH9VQqM8LiHgycSqnBcTk3UaioOL2XcwzCArcOY+JWjGkukhMQLxaYyqI8JnYQPkp2K8VtqjG6BcqaZpNPT2iHiaBozurnnKYNim+8pcCi5RjssSp0IUrmXRGc6N8LoUC7CtCDUTtvpnTIULYqQrSiCg9nqg4FCFBwp3WFzKEF7BqOhR+8PmEeTl0GsaVGIEKCgmM+aeGzCp279Ux3I1uFLrh/zeqlYVSRhQdDenXQqjCU4hGND5aLXS0/RUWnmTH8Rc04CZmYRDj4eQpM7pvaEavCeBXcHtI5DP6Lw307sluLu4ThVc09Cnbd020tKLXO0NpXivFwiAAnMPKV4b+dty8YzbAUOXMpTUEIQyuYq0wN0+qd0KbAxu53VxKaynnoi4cuyApz2VzGn8StaApH1020gokpsrl2UsKLXrlyhOAoBwgAsDSFJWEQpUiOyIKnI0dOFlYXMsIr/AA7f3jKysaz5JTaVS4nHVAnlH5qp2C8Wo32N1T4Y/uuIqgGrVtAOWjZFlW1sR2REWMuMZ7JwNlokf95UK7oqbymuTQmoIE7KDgLCzpGgQXhnFYXTsnO9oHYP9UI0DWdFa/3VLzATqThEjK+00QXe9Ct4qSXAOHTKY0+/+a8R0t3Ru5m5VLsuyc7Kq9kC9W4Gl2U4LCEoqQVAIXMYVjE9zhj5IUWi73inPdEoin81FH5BXEHorifnpyTpOdHMcgcrl0AqoFM/6qdgnR/VcigrGmNSgiCgeqg68yEpq9gNG903v5h5R99HlwjVkDMZ/LQ3NH6qnT90CTvnKLnGYj0TfdgQuKq4pAgfiXhC2bj19Va3OFWruACFN40nUKEEENCdIT31HiOYuJn57pwp1WEdP6IWtMbqFUkuQdULXMBVIczMEKnWZjdMp1gGkZ5YnshU4aercp0poJJV7yVZuplELEBBuZT0XFOjCcDBRBQJQWE6VFUzsvFqRPVMHP2XK9x3X5yuQIWW91a0rBWVyFZXTQaSIRmFD5Ty5CEXORG5UsJ0woKxpnyNPVWELOsphCHgxKgrBdcmVaZcCd8+WPuc6Z1k6BMYeVs+qqCcDKLkSio1b1lUDaadJ4eOuP1TjWksAneMoBqK4vl9nDJgK/dQ3chW7YUUoHVMo8PPdOL1yg6DTKkeUEKFhVGcYwu914VYE06vMA6PUfIqiXFjK23wuwuLHw3fLKtMEJlxjBVVlW1ytLvkj4oc3BX2jgwfxMg/NZyFDWhOndS2TpKhxTXmE0Jtyp06gXDucHBNfkKES9No0Ag5cxUOXIGqKMTkqazR2yraemDplSHLmKyp3QlBEHGVkIICcoeigQFjKPhnHXSfKDhQdCE40llYWFkIyjbhAo1CW/mvs4cJmSj90Cj0TlH3JjSQhpCzpPRZlQEC73iPknOtLa7zBmEWuyVyaAnOyJjsrCvZDyZQU6kqArtG1eA352EJ/jUD0d/VVTxVQ3QuLp498DoVwfEm2rR+cr9ncS26hWt+RkLiW5PP2IRZuMl2x7BUjd8oVtZ9GI6hRWcAN1DcpzWh3RP8KTsuFqsuoPzAlh3lVWGS3Ca9U5VXxEWFGU47qxquUc5U3HoiKZ9ViSsLnBV5QAJXKrguQoWTpkrOhEo9UE5+yDTuhGyemt3ynPqXThECVNN6gebKK5ViEHUHT2XOVhYR7JsZCbmFBiM9FDUNM+QaDTKMhVJhHus6Y8k6QUBKCHljARLZKwpan3qozbbsiVA0BTYV6tainaZ0z5x4hDnYdiE80w0703q3i3GFTgQHbp/Dloey4kA/JAOupVbXdjj9V+0OHYfEn0Dl+yeJLm8Sy0z7ywalF/i0+4QaLuownsLSd3BTBcnmk/8AC0p1rZ2C4dtpFM3E4KiOWbmyntY02kBx3XAGgLzlDh68NNzSnVItQYO5Ri5PendU2lTtCJFqJRKKyFL0AIWNJdCkwg0KIUHSCVcEzElUh2hUh0XKnEoH39kYxgI3YUss7rPmg6ArmQNE4UVXLCkhNgYQTWvQFRjx30nUooqoqiqH0Cp/jQogBOcZXs0UdAmlQdMoR5RCzoRgI1KwCY1gARIXdRrIUFQg4aApgTZUqNIOhPlh5devaTjmCq3uQv5m3CVSLnG7nV9ZjH9SE6nTsLsMDiR8tl47HmnzkCSOqr8GwPbMNfa5vdU+Ko+PR679/wD5TfCaT8JhBxbhA1HN+FB7oVJtE8vOESA242k8ypVd6V5EwSdvkE4FpUZ3QhEiAiYkprBshTGFe9YXRcskKCi+o0IMYsqXEKGqWygrnZXtI7KQoKyohFPGxRnKuahriQE7OFbXd5ysqXKcLwuKOg8QILC5pUtQMIDTPlagmhNTowoYJQGmEZR0Ot1NQVBWPIZVmRuu6DtMKEJQDVkx+SndGFlQE4qdJOk6geSW4KqOdF3yV4N2Crhh2VNcgC4os4lo26rwuH4irjmc38k+hXp1KVSBu1yp/tfgXFoa2sHSfWFX4fiTSc3HxeiLfG/CRcPmN01jTUcOi9qvaD5q+tYOqZ/4YdtmepXUn5pj64Ymtp+EGx/y5T6m6FgkQqAcW9Qg0IkwMkqtwz3MqttcsLxHyrWJql0rGnOt1ghQUJW5XRc+nMrgmhMHVXt2hEOKLx1Vh2Uy52EXHssg+S12EEYXMp05li6NCCnNhA9VLSjK5fID5AhrhU20sq7KyoCCYNJ1hTlZ0xpCnRoYquudHImdoKe2pbKa2gO/lChGVPns6oXAhbHuv1RpcQ+p1ajV4l3LBVP7DQpuacqmeTpEqynXaTi4ZCFvjtEvY2fmFSr8Py7PHXoiXO4dubRuqLHNHjS/sBj80DUc1zRHfsuDh3hsyPiT3v8AQbrxWNcXAEE4j+yeXkBku6Ha1cO2pzOlUXGnHUq0IMfI32T+XxO+fkqH/wBapilV5PEBa7sn+O51RxLnZ2jCL3wE2kxXYCE91FKdlgrnlZ03CxCkqAvaBddM6vVtFE5tKdGyzzLfC5VLfJjCKK5tMoBN+yO0aiCnSpBTVFwRKdpadBCxo5HSUHkShEQoRhOQk82Qm+F3KKlQiiWlZ8zNk51T+VNAxpDEHHRwRAJQqEPC5dJQ21kaQEPMftT0HvhN8GAcqxjWuCsY4jqr67Cm16Lf5DB+ScS6Hy2FQPi0xU3Vfh+IA95oGUaHEvt/y38zfRUGsq+Fu6Lj6lC+SmspOkcx3XtWNsuHxBNpUC2kY67qoahNxg7xsuSpBIMb91zQqoqtzsuIIzVKmnkTbleqpcLwvDwP8SG9tp7qrXql7ySTuUIU505gSoZGmVlYVrijcoGntEDTOvKmtanOVwiVTG6LjHRFHq3QwURoVhQfJdJRCP2ZYRwiSnAr20K7ZyqsrtD9u6pwmqNDoChKaBpGjp3Cj4UHiRoF/i2u7tIKa03XQuGLd8qj/N+SaRHhvVNvTPZVn74HZRrhTo5gmU73ZwimtZDmp13KMfPQrlRquGYTWtRB0KqCugDErOkalE+R7OKdjBKqtcXwmVCb+UhOvA3Rq05adlSaIIn1VNrXWOkHonsgMMIUdx80GVD19E1/Al9EgR36Jpo+o3KonxHHmt7oFgIEHsUxp8Eb71H9vRTULon02RBcHHZUxwxjY5hAVMCU28QNkITvGZ2Jj81Q4Qipf4hA2jF52H0T3OLnblGqY2Cpj40xoTQmtlcgXtVzFbrKvChklEowuZZCDKiGmUR1Ti7KHb81PZN/6oAZOeylm6B4d3odMKVhSPJUa3ZHqv8ACnSVaUEW1GnsVKBbCI5SnFyFm6zoUAgpUJyIT06Vcqn41V/8z9E4tgn5FUXUw6Jx1ymsHQJswwF59FxdU85tHYJtMSAp66ZWNCoMypbCDnIIeHhMawg7oBAjSCml0ShGhlPbmE4ta5HqseXGkqFS4k4Va0tBTvCnqrqZE5T6bXtlcUzn6SmhodbDijJvTX75HVeDxcxHZGpUqNcTD19nf4bhhxKNP3ZVlJu11vVBtR9SGtc0fD8UrxqUmnv16yFVqOA6uyiwOLjm0t36FOo804XEVHza4Ap1KgPEx/VUXuE0Xv8AkU7i3w6k9zWnlIPdNDmF1W0fhK4vh6c0yHt9FXYYKeU7unCpkobLnOmVDZRlYTSvTTbR076gbygHNhXfCV/IVjdN/wCqFtq9k5Z0zpjQuKbITQNtL2OarKhahGsHdA02kqSm9VZ6hOe3eRo0dEdAiQpUJpTV2RQRVJ0tLIyquRSF12Z7Jz81Xl3p0TW4a2FhOBhcnzUdNTKuasogjCLXZagm+GvanQ6cuE5tQEo1EUWFYRDY0KJCOmVhTqW5aZR3V5tIXh1ir3ppa2IVMmKhiEXt5DKqs94IVXtP8yawtiAZTHsa92XBMY6530CqO4t7Tzc2PRXeknHyXsmjP/z1Qps56mOmJUhzlULWljZyqpNppwqe55z6rhKVADwYNsyMqm3gqZGeQL7R+0aIHwuVkz12TKrptzlUmWdD1zKFNzea4FNc4rBUgLmUuUtWSVJRQuUNXKVgIo68wRsAtTSdl2TpCccFHOudMaHeEAiESUVa9roWEUV3GUIIQiVKEQiw4Kedws7o3bKQpKCIKdp2WNKbfU9guJqfyD9VGWye68N09OqDmhwy1cytEpz+q5kDqIzo2DIVzDYdvVVzbgvVan7wTyICzoAgg5Oa9AQmOCBUqTrhR5gmTAEKnBad0adXdNJlyYJhODQZQrY6p3D0g5VeIe5znABCTG6pXTuU+5zj7rU2rT8W7HZBt2cnAXs5O6ZWc604sAKayI+hTRSP8x/JEBwXhBx69EQ+1uU+5m6r0bbuHslvMJ/VUmcQ5793ZBT4IYcdFUcaQ+P0ymsqQG7j4k6DiYT/AA4tA+imm468ywuUpxhWuEqA4ommFyIFqkLKxo01Wp+1sr0TnGSVJ+SlhwjEEZ0z5ASqTRa1CNRK8Wi5EDKAUKVa5WDKkFOcFcfVVGnKkKoHYlVesL+VM7FNn300qdlG5X4RKqP9530CazYIWaUXsEcPz/iDoVSl4rTvIwU5VCNkWJxTp05lKHyV/wAapuqe/wCqZTxRMDq7r9FVvuNW75qUJlSNSsIynahQdMeXGsPklc26k4QFIDqq4mCq7g65yZdldJXEtmMhVnRKDTFsrxGdvRWNI6FWvabeXqi+TdynZcUeF5KfvZJRp0aTqmSxeKWgnrlTKaGMk+63onsyAI77qlw/gcxeBzd4VKrXDwTn1TBb4cku3b2+Sre8fyKjir+qpurm8KjUxAie64gPgm0dLuqfRi8HO3qn07SBujHqiIXKpVPaUCjAgpxEJxRRUoIE4V3EQVA5cBXPQHUIELBEKarVZVcDoBq8qwIAKhW3Cac014b4I2TY0agU3QOYJQxaUGZTblzFdlnZFHQ6Hos5VMpt6BcmzuhCACN13VVKgFv1T7TOB3TXEicd0IUNRL4iFGjAyxw32KaRIwjZATbdk0IBPcdkSNtRplQpUBFc2nKpKhCfLTyJWfeVXZFrh3TocTum+B6lPgZT2skosG6upfJcyewjGFRc0IFpYQqXhkDB6I03T4ptQp0Q7dUfffViVD2GjRe4fiKdkRBPVML2Nd7g3A6qnVFZ1J5aI5fQDuqbT0z3VOk3uJ/VV6dGo8xbtPzUUnOMyv2b9nnwDI3uKoho8OKcZ2x+apBr33TZkScSfmqz5d4d3QdguHgtnm79Ex4uIu9Uxx2CsAzKqF2UbtlUn0W4QTdwrmyF6aFEdF7VENCNpCO5KtcXbphC9oo4mZwR5MqGool6NJwhB4VGoJjKrUzMYTnPOUW7pqkqIUhc6MItdoU/YNRauyK+qcuXAVR4hRHNp2K7p/4SoanXf9lOZU8IMHNNpP8ARPd7xJK7JzOiyhfIC5l6KX2p1oTAMqk0kAiU7xY2VQGFO6CbHljS5YXNqUYRCKwiNBTPvKXYcq7WKs+rdCLnZTpATy0ynPp7bIjmduUbCnAgxK8Uva8dMLwqk2ArxASGAKrHKU6/PXKfUp/VNp3SLj+SdSwa9MD8IyuB+zCKp7yBleJwfgwDDsOOHI+IMYOCnOZEfLuT6ItpOkc5/QLxG0aTWEjv0+aeypY0tIGXGJ/JATyAsacUztlfaPCpZh39u6p0WljhM9v6L7TR2IgxaMKgGy4if++yFNkhjvp/dUyXO+Md0X0y5uwzbvCDYIb8yqnEGoA4SFw7AbnOcRuAuFdmm4j5qW7fRMdAOAqTHmJhMh4+oQnaFS6BPBPKnZqHrsvDpABG/nMBMdhUx8SDvdhCqzG4U1AOwRRUFZQt0Z10Deqd8SocRRcDsmUeKx7qAomNGlqY7dU1Rq/GuFIi4plvJUValIJWEeyeTsh80Tu6B2VMymyU4YTQdLVLUGxDlVfd7zg0SVkndOBKc6Pn+RQtyYPUIRGHf1Tdy5MQbTunfZZRQFeUMABPe1EVZ7oOeLmzCkAlNYjKI0k6SUAEXItKnyShCHluMynNT/DymdV7eWpxeE5YTvtGVfITm7psg+i3tTsg7rluOy4drw1jxlVbeSFNFofWIMyqFUQalkYE7lGi1jnZtleLVd8uiYxnvmBugXBxNrolvp/1KHEUneHb47Rt+ILiOIDKZqYZvT2KdRa+N4n5lNNjt2kA/mhQiAGucc/7IyXk4J3XFTlpg7Lhm/ja6ZmUwVN32uHvHOUxziXF746wFRoyPCORByqQ5fsdOzqcyhVquc2WSM5lFrLrBb0nqqXw4JzaVVa6ZYAMJtri6J6ZTmOyrzMJppSBlD1VaoJsKNCgwdUepVMUyd1UfADlWjD5+YVWqXWWYMZC4uiTNP5gItLa3fdMEoJpKcCngJyaWmd1yqpeITzTF3L81yclRrcLxffhG4MG2gCLnCeqpFo5VSY+UVKZxDcuIK+zxMp1uGpzokrlwIRAQsBhEuwnA5XVEqW5KeJ6hVTz2OiJn0XD0eHaGCMEVHf3TG8xAb2EIXcoQub6bzurrnbeqsiw3PP1hPe43uMtMQnOfM8o3MrxH4HKEU4LKysK9oCbaCUxowpKHUwg4bympsrCkIlQp8gQCClAKdQysAr1c6AmU3DKqNrT0VMDARuMprHQi98gpwLyjVp+qDIRLiVT8W52E51UsB5U5tSXHqm2K98lB9YnZOY2J6bKtTDzeC7uqlfiJqggBv0QsaTccnbC9qx4OWqhxTZFoq9fVVHcgxHfonUHw5wNoTWNa+bp69iqj6VH2k7k7Jwpv9pAx+fyTry97Jd0zuVUqMEnbuqbeRzS76wmQ4ueQ6dv7ptd1geT9ExtSGl1w9cK1wY5zHT7yol/Lho6bwE0VDk2rxrGgkA/EVUdw8yMOPMcYXheys5vXC4qfcP0VWs5oaC3uV4dYe18QjquQK5pT2mA6Ua1BribQQqLf5gqFDinWYD8/VUqgRrcM+kSvArOY/cLurTCcqm1q5S63CpnpKa35lCMLufzQZsrne8VlvyQnBTqnEAdOqpsEAbKbhOxTXsNp5gmeA55Pu7pnhyHK1hKFfhj8lUbuEdyMKYz9FLgMwmFhc7Ye7BTC6WSrnD0z+SzB6poKJHup1JwMYTnvc+8iBDWtMJtW4so2gtEjphFzhHL/Kdj9VRZ75iN0S9zqLIaNnOz+SqOJdWcX/WYT6Z5XY6dUftRe57QHYPRO8Pw2gsG8fiVUO/upX1TzvChZTVZgJ5Co16LGsJ8UvtdPTrKLTa76pjQYGZ0KlQs6nWEdMIlHVhfcsKVgQpGSqSpkKnCzEr2co7okFWHmR8SFDpV8JrQhK9pJTiHSh8LevVVHNfBudjr0VnDU6VMTaJMlRRF+7hgegXEuD+WAOvZVXsN10f/ANk4Pl1gkQAf6JzS1t0QNkxtRsdoJ/VEhwFYBtxyvCdTsHjOxmMCUL3+JWPi9h/ugWwKuQqRY273hn5oAb8uOiols+B1IB+SDGNcXD59UXczm83qFkbNz9Vw1PYw2PiOybxNF5p1r3TystgN+ZQZSsgPqD9EGbwSqrmENfA+SbRAQtVN9IhNp8TRDM3boU6DGxsEI7JjOIpMluSuXf6ql41lTB6pweOW5pHLUTjOUwx0T2YITuUEw5Nw2cNCpsb4jv8AlHdeJdK7bI9sJrmYVQVF7QfJNb8P1TacDuQpvsqbKuwXgHJyeiqB5OcfllEVG1Yi79PVDkY1whrgVLnsOTGAuIgtd7sK8j0TS3smNpthMY3GTCcWlqrYEMEdmhEJtnqh23Q7IEbKo4ANZTHrCrWkF6IZh9S79E108lWezkxrYAgjospocce9uqR+GPqqbWFr6Zcw+v6hNbhrpByFGghAlMHXyOY4FpyEHfPQEIIeSSmhAaEo6FOlYUac+y9opwFVYzKhSJBQ91U3C0ptKChdaECzCxC7rmComRsUGsJnQDK8Sq5U2saB+aky4nfCLX3RAAkpz6mHxcVd4jSz3XRLt1Xj3gIdj5Lh3u8R1QiTjCxTAHLmeqfyttaex6riGktHxh3X4nLwqHhlrRy7wqTMtuLnyC47fRZc929qfDQ1jiSfeGypNe5tSnd6B3VPJIayGRu4TCLpa6kMfmqBtAuun5hGnTe4vuA+Pr8k5zHVH03HuY2lX48NsN3K4OhQNjiDibW/1KDboLpnf1VAsB8AfNUyTmAqHQprXJzch2ymte780wsBacwgxoFs/JMpDxxN1/TsV9nsq3vggCLpC4fiqnil3SFU8Kha7EQndJR6qW2lvyTnl0DZWt5mzlA7hfQIlF+Cmi20QQuW44PVEZsGVaf5VYGY33VwLu6c11gN2NkDVAc3ZCJukDoU9zpYMRCLRtn9VFZwdgWb+qa4mfzVNn4n/og9zcFv10aWz5MoeQdX2hVm1bL3HOCD0VRwaZcekLqUwoRumeEiD6IWoQpb9UQ/08+VjRzjrBQCyrx5ZQCjTK4UNLmhe3cUbxCt3QLoQbheIJ2TbiS7KvYcqHIBsqkWFG+EUGumELEcYTbV8TeiZaHKnVPqo4I3/HhUA20v+RQvdZUuQey15ORvEZCY0PbYMGfkqjGuO3Yp4eC4YBkFND/dZNwiXespjwwzLTmA3H5qDgB1Nu7filUPG5/8wk5GeUJ7LrZDf1XEONMvwNrrd0y5g8Qcx6BVKdVwaw9TcU+sGDxW7/X/AOE7wpPu04tjqSq/gAcQanvSG9EKlGxjakl2wVfwhDAd95H5qtSFO0ZP5BNe8jwAx2fdJyrom235rct2QNQNe63CPQHGRnf5oPPIY/FjZVC8gBwO0p73Wuwe6qVaZZeCB81xNRtoBAGAqpBLnQq1jB7w+aDRGBcJCpBpxzJ+9pVZoFSQy4bQuJLTc79Vfd6Ih0XfmqgeOU/2QAy6k70uRDgQWT9CmPFr6LWfTCpsqBp92MKZZ/MqTmhtzvzVkim6J3ETKqi0OZ/7T/usBxdGFRdTY01mtnBPqvszIO89OyNYCeUhON2HZ/JXvHPHpciTnKNSOXKqsPM2FjKPdE6QsrGmUH7qgyHdk0E9kwNXOoCJaiNG9TCAlZVau8hnZFrGEPz8QPRAY1KlyMeQqVCz9wdYpZKBy1EUrpyqxqbpxFyd4gXh0wqVyjYqSrWQVyJxRamVWZTbk3qg2i6Cg5ueqpczBkq2sRHMq7nsDBIb7yY/JFsIYtBH+yHLccyo5f8A2leJSYzNzRaf6pgBAd06pzqdzif9Ke6macBo7J1ga0C1/wBCj4YayARkynii1oIkn+qq2E1KkY2lVKFYtBaeoVzuYG/M/VU7YFFrye/6wmlttk2DAkqvWBpOf6xs0LhqIFOla9//AJo2H+nv81xLi72pkfX8k1zi0ua71B2nuiGuDHwf5dyi2paamT6YK8Pii6lRHL89/qvtRuqi15jb0T6bWh1PL55QDKq0HeG7hrHAe6pM2mfnH0TqdS7lHoTICqvptcOUzEqs3lJjC5bY36Fcw5ioDWvHTCYHDlTjQ8MRvIhMuJyf9SY33qm/ToqF7oj8o2WJPNd0VQmPHKLhzHEZQDKVo5js3deE3nPMqgy5sD0z+iqVKpMf2VIuy0z2TmG7wHkeuFTqDHDdd5QLJOPRObLdtlW4ppLyJYPewJCqULS+wNO5DpTjI+Gcd0xwaW3OdEwqLXG9x+aE0y1xIPf0T3Ogp76g5lxRm2k87fCnMOXtA9Sqf/mhAHAx858wQYFzR6xpJQhCfJY+S6AmNoV2tNzunRV3B0ughOqRrPTSAgpKATUJKysqVH3Ja24bJjmrinzbsjTq53VJoyVRbkK7cqk8+qewooOhBnvIBvKnWygGdk0lBzIQbTIRZHZNe3AymMBf1hTc1jJVxl8AJrWW0x/zFVaz5z2XDtoxVgn/AGVFpJD/AHhgjZU6bepKFaGnqmNAl45mxPVNBbdk9f8AoqfOPi6iZwuFwQ0Bp/mXDPmndMsMnYDt9VSY69lcvaNx1BTHvc8F9vquHpCynAu+JDiKQmsKP4p94x6IfZ7OGpk0/iJ95/8A32TnvB7CXfD+SaKk+I0nEW/0QccY6TOEKQbabnE57Jvim4Q6eZVL2hrxaIdlS57vCz0G2U91QXBzSNoO6EZaAdvoVQ8QstIfjHSFSIhjAA2cQqfE07iQIiLSqRZSpX87cm7suCMPiXbY6QmsuN0mMdwuZkc4x1TTU5T9IVOq9xdF3+y8Kow9xnMqi5+wbjHdNHKzkPdW+9kHYnK8M3lrv9J2Kq1WOcSGtH4UWU2ujJbgzsruXaSiWz4hb0ktKE/5txPYSq4Bc2qbm9LIb/VPaG3VHXEZcMhv0VvCyKzK380Q5NH7PbUm1x6/NGXEgOwYhw6oOomKLndLeqr1GNP2N/MeZtu3yXEAyBGMSQ3KIHPXoNFvNzz/AP1X7P8AshY7iHuE/BTmPqYX7Pbw3uVagGBJDf6Kj8PC02x3lyc3+WdrIaq7/eJ7GSSdQmtHktarnLkTqtX+v0VqyiFtrKzMJ5DfZtBb2XiPc5xyhGjUPJCKyo+9MWu2XDnZN4dqfUrhw2TzUBuwoMBRgpjKkprjlMChyJRaYKHhwN1UqiFUpvXPCMp/KNkWtAhBlIMaYW9o+qnm6ovyYtG6e+XxHZXtLnbo06WTgKkXYkoNBcYbJ5VNQZBRv9/HdOdUEPbj+iqb3Dl2xuOyfUa2m5rA7oIwg6i8WMb3cOyYxnh05jp6okOzG2wXDUw7w3ZLc4/3TC9tR+PwwU5vh+G612c9lTsZc0n6xceqptp+Gxkdg7KJLyXCLYB2VMOALg7GfRb+FWs7NtM/qpfN5ztcVz2ukg7/ACQE0/DgHa5U8PdX/wBSDs06pjbZOpRMhzvwiVxbW1XOZLj2jDe6YQ3nIN3ME9tXNK7t/uqrDdbjsuHmpUZjqR0T5qMb1zsuKe9kwG/NqrC63wyfUBVHXF/gOPqAsXCnTP8A381w1QgVOHBxtzD+64Ess+ygD0cYXCCZ4f4fxmIXCGCzhvyqEKhw7gLIx/5hK4K+48LSd63GfquFIE8Mz153f2XCGGN/Z7Xdrrv91S8GuavB8LRNOPZmmbs9clDFHwuHa4f+k2FxuW3hpke6xv8AYL9ql8Hiqu+eaB+ifRFN7n1JJNwPN8t1RdWdWcSGZxbzZ9O3qgxptMgYHZV6b7z8RAyPxKpStDt8FOAfPdXBBypMfbhAnCMLumHLdbttLnb4Rp5jdEnQvCq+NG6LW7InS4ILKlg+4aAu2udMKfuBdugH7pr0JtTIXtZTXNBCwjGVWai0cyD3QFDlUuT2qXglUfGBCFwwnuzC9nzKvu0INfDm7qndiUw7OkBBoEIYYH57rjQ4tqNDp2gplCmJp87kTUu8QEHorgRfB6oO8NpeIJXD8P7hdkRlcU1sCebuqtWpe82thUadO1lPlXDXuqVDauCeZbJ+S4Y0paYRYTOB3VW+0NMfi3RDQHNzbJVMwZiR+SNSnmCBgf7INoNJuvXBi2WHbBLuq4aD728bd1TaD4dMOaOpdPpOVU4iQ1oLmZOVVpbsP9k2nTtZMlUwG/ET+Uqk83dvVUwLhH06LtV5fhMkuQ+J0/PqgXnO/RZ6byqTgy0bHJaFwxiWG6MFUm58Tf8ANUmnlz+ab4rJjaPVTZDviTDSEVSI6KqGCanMMyntc2YqZn6JhqB1nrAxv0XDUuUlzzblo9wfVce4NbStp+o7f6lTFNwJudmShDxiSNyrYjHquWD2/JNfUAaJdGVVc+1xMiNzOysbyBhuztnCa5pe13LNxHqn1ywuPumZ9FwdQlz6tnNynuqXD1mw4PZUEgqVQOA0EfiO5TXOPcQsFFEg+qgKNIClx7aHRqZKartMIJoTfuCifIBpP3FZxKqeJCqNbIVXeFVlPcUeqtF8oXphOVT6J/iSFWc5PnZAQqNqpk4RdUK5YcFzbYU03Yyg4k3ZXiNgGSg1kKnY69USRDITDWpYEN3XAG+9gVGWGjPUlWw+I2lUt/yVJ9sg4nZNeymcfIqt4haQWAeiNlz3RnqqQHIwuG7iUHuuo0iPWVSqAEiD2nCaJY54Oeip5DJVNoqDl9XFeISQ0R0TIaS3klOM80dU8DmfiOnZcP7oefm5USfg2i4LjqXM059DsF+0Axj+JqAgjDbcr9nObz07nH8OFwVOY4h9D+Xf/qpJt4jc/E2EynAJa6Y+qdULrRDv6LrIGck/2XhPNSPyzKe4S0/VFvJenh2J/wCY/wBFxPiBz5IQaOTN2U60g4KdaIb1TQ0dM4RGZwgyo3rPdPdGT6xtPZFjYLyT/VcoDpi5SMLkw7ruh4ZDh1BhUTTa6nUc6RInf6p1On4ZbJI+SPgzbud1w763hPY7HvfVRXNIOEEyT8gqVN7AXBx6gCFwT4dUcKbCeUNCoNZRtDn3nllUgHNNO0h/0VIPEuEeiwTbA7I85OTcAFkYiENGqFKtTWhS7yG7zD7nC5tCsIypP3DqZJRvTrUQEVA2Teq8MQFcdlXbVVao2U2k7Ka3MJruidcSiQqgEozIXovE26J7apCaOIIXDU+Z4wuFd7jEy8Y6JlOlJEk7JtJsu6owH2dU/wATO5Ca+uyk98Adk9tZwc+QqdNpqVRH4Qr+YOk9AOirU2s8SHfykSuGfmrS8I7YyExjnGk8VAfXZFohwtk4Cos55wm06rsmT6JkNh2wVBrTOZHVQ4diFShp3EDKa6oSTGMBVJ52/XouF8ObRdMboGOXH6LhrM1IVam02OLp/RcU9vvvBZ6o5ddONyVS5uWTH0VE/DzR2TwIaTjqg2HvfiRvlXWtGwmCoZUJbEOCaR2JKA5pgnsqT+UEn1lEQGuWY6xnqoYfmR8/VTV/zC2MNHwlfzOEH6p0AmpJa7Ypt0luZ5UQ5mOi8WGv+HdZcS7fA9EG1JaOXMHphOcw21ZECQDBR8QsZJM2geiD4LmEEbmNh/uncRxRxDVZxDotEYzlYpva23OZQfVL+g3XCng6dpFzsyV7VtF1QXUxEhEVeUtt7BS6J3ToKHILeyJynMCJRWVvlXQsb6lPClR5Qh540z5C5WaDzBwTXndQIUFMtWUECQh2QIm1PtgYRmSgG7KOilNa5FzcNT/DmENiE3h23N3ReCYQvlOLVyiCtkHOtOwTHOYS1CpX3wExzSZz0RdxBcauVwXD07ib6h2Tq5eWukri2Plwz6KrUY0sYfUhVWPd7J3/ADqu0gvdz+iqua24ym3BpZ7o36JrnizmRRdPZXHB2VNwaHFMs3VQ0OV2YVJlOKg/9u6pVK7S0lzXeuU9riHcvZVGRBlVSQLNlEn9FV/8vBTHm57iTCpw3nI2VcMAmRKinHdXstuI9380C/blbsVZzGXTsIVDxYdTteBkxITIsDhTJ6r/ACqd0y7p6otZaBgTA9UZ54hDxW03mGz7xGyphks4uk+BLc7qq6tJa4x0A6KvWOR/ZVmVObtv0Tb3XBvTI6KkCy7+YR/dOp/5fxbIVHUne65oNx+WydUFOm5+fRVaMC5zSYkrncTnOAruHg9Ij6KpTqmBezr9Vbw7xd8WCpq+K0+8U7xdtyhe4E5RdT9FmVITQEJWUEEzEBGUeyzphYUKPKfKFhFGUZUKVJQH3E6HQlPCublQi5QdASiApC6J1vKh/wCIUKYw1Ot96Ey73k6s7lKE2lqaSnCAqod6Kxu+UxomclXcA0lOe9xTacmp9EKjvctCpMbG6p2kwnhrgRPquKpfE4egV7rXOK4Y1G8m4QaHyZnZXGJhWOPZCSg2k8xBIhAUAGwUfD58WptS0I3WgxAVKoMHoswx1sIucBJON1OELWnOE19rpOCqctgRCwZQDUZRuACjquR0JzA4Dm9SvEbzK6mralxuUFpuJTan5pzAYiPVVLjOZHRVaYA8R4yMyqr6XKeu6dhsoE7ierkahicNw0+icCO3RQ2e4hU/CzTHzhONzR/4hzPorHQ0CAjU6ZtTm06mEKtBwjMo/ZnM9cKqLobJ6oOqOIG7B+YR9pIQDtHLnUwZQQ0uKwgoUa50KdoNB5gubSFlY+5Eptq9orUyUI0I2RuQhXPUIQmRKg7K8L2MLiO6rN2K4mkVdU5kGv7o3rIBRqVbhsqoqQqv2XBXhk+ICr6vu4WcKjVcHu3Cp/iTAyZXOhWaXNZkKryg9FUZzEElVqrbnbI2gNeqsBgaqzmhirMfDmq/xIEYTI9VFQg9lGEFlZRWIQysJtqmITQrkQBDkHCJUQOyJA9Ee5RlEptqq1HScALAECEBTAa35ogDCqh5zupaVNMFNMAoBkCVawGF4jW9gnkcqta7mmSg3dTUPzwrNh1yng4GE5zA8YndRlyBesSnPdCDWhEDSU1DyYRKysaDyktRCdKnyFFWo6nywiU4BCZQI3UopwKdCkrK6oOWEQmyg5AIQmW7IdlL8JwOmxCe1TlNY3JVItKaXQERzI1WdlTZvur2zOEwRyrw2mGfNMrVnOtTcCRCbDmtwF4nMVTYIbuqj1bVg5TWfChdgzKEy92yvqcpQpgDqm/VR8KqbwmhpKNSlcwqq/Zq5oO6gZTXKiG4UJsyndE49U2clEnQyoTXblNa9N26o/iThsUQIOy2kpqaQcLCPiLOFUMogIBoIQ8X0QtLfVGEJwm2Qg3onHonFOCcEQQpOoU6c33GNAgFjUIdlKjSdRpGjk5YRGjZTYlCEOiCDgoWEFcU5qndSrFKiqmFsqU/ACJAlS1VLvRGE1mU49U+DaUXM5jlO8NOuiEWiE5rMK/dc/onl2DhP8TOyHie/AXDvfM5RuI3VSYjZOFKZ3Tg3aFLocz6qLoTLimuEJz28rlYIlMDMbpz4dEIERKDRGjYzunB0J1m68MBXKI5lJxphNlOzCEy9XlUKeJQHVO8QBSECVTTWMDgrn4VR2/Rfki/5J3QI4lNDIGjoGNJQQPRRpGsqVARlGEVjSdAsIaZ0lQo8w8pK7J5cnUxlNegCrkRgrGkORtTnL1QhNAUpwRaESUAxGpsiBCgIKTCcwIOHuphYgQmtUqkwSo2agPhUi4BHGFTDeXdVS6LU5pCqxgYVxFycXC1FmwKLHEwnlxuTD8Sn3U+JcFSNSIyqYGCqQx1TJwVTCNkyuIecKz3jlS9OlCAnNdCc9pBCITExgV0qdDpyI1GlObumymNG6bbugakFPtiVAGE1lEoELmjQhOOkDUJiCjQ64VyA+4xpnUBY0yoRP3J6psyg5yYAmgqE6ZRKIRlEIAIuO6IGlgTaqC5VLU1oWUSiaqp4QKFMwruigYVcZTk2Ex0pn4k1BwiFT/Emt6qmN1TiFRnIXB09wuFqM5IRtMbquLlxjHYlcWSJMLiGMHVVJmMqvMuTjWkFVB1TOqa1wUGWov+adbup3QdU9FQHRNOwQhHYKoeqc2cqqoRBUlAKNlWcN1xiqAguQcYBQO6wuia5gTKRwmuQjQJqampujpQe5NlZUDyTqUZRcrfucaZ80+QIoqSjCpjdDouVQVhSVKgqVhQg9q8I4V2+khOlPCMpo6oNdunP2T/ABEKdPKaTlNIVIsUBQFduU1vVeqcRCliqTKaBlXZTp3RKzumnYIHdqkJhwqcqWoDZOJ3VQ+6VXJygxsFFolFzZRZVIK95PqPIVVji2FHvKkRup6pwKaQQucrCCBKb1QU7oFqY0ynNa5Pbus4VQtgKoE6E8hSpYSi3Q+Y6R58qENR+5EuQjTChXKApVquKlEKU0GE21EqoFnKnZVAnByM6GU4LKtKpudKNXAT2lYQa06SUZRA3WEI2Q2TlwwZldKaq25QBQf1TWblU70whM6FOfgFObhSZQlQhKY5NshUmiCqdWrLVbhNnAWbiITXJrWTKjquXdPZUUVCmVKab4a50YRlNhYQCDkE23CdOhTmlNQ8MqSfLnUwjKlZ8oQTfKfJKwijd9zJQCwijCnQtCCuCIyrcIOQXNKCDlhEOXLpLllRTlc2Ux4RvwuSUKZVKEHFGcJ0IWoXIaAlNCAdKaRCh8JgKDwochMLl3XNhPG6t6p+4KysItfKApp1yPdXYKowqbXEoVMqHyi7Ggeuyc3dNTLk0bFC2EJwoTQULU4hEohE9UWoRoRsijui8aNCyjCzphSoCJwnfc5UrCKKciNcKVn7tycnTtoWhSidLlzpzUQrgggwoQrirQpKAKACBbCh2EQpTxhXqw7pkKmHJiOmFBTjo2FL9kDlXPXhNVztkyZTHMTRtpc+ZTWbuVNx3TWhdgi7dDV1XAT6YymrsnlO6oqQrUZRciAoWVLUbkQjEBHrpajCLggWq06DZFpwgW5UPRO6CIPkwjKBGUPMSij5AgFCz+4BxTFCuCMq1AqxOJRTSmhQis5TAg9YRaiVKyuVOKgrlT3FFo3XMr26NAQhN1Yd0zSm0phwm9kQUYRRcFUPVOjdeHuUIVMoThcuyyg1NGya+ntoxMCwgnJ6jdNCJCcoQhGVUKcDpClBABPhPJRKaCqKaG4V6AYjcg5YUaYQhR5wghqEAE1D9wEKHIqUE2EEZQIQQ0KlMtVpTtOVNJTUAVCMIoqWqFKDnIN0nqvVBQdBKhSFL902QmWpkpoQKtTkXFAlQ1cylqbKpgppKa3QrCYRKAcvaItCdKDwhKx5QoRKkoRpnTCCyoKPkCCCzrlDXOpRRTk5OCenonU+cIIR5P/EACsQAQACAgICAgEEAgMBAQEAAAEAESExQVEQYXGBkSChscHR8GDh8TBQQP/aAAgBAQABPyH/AJNf6HZHXnmDn9SlxR5izL/ylUHyx14ZUdJBjcIy/Igm5gIRz/5NXioSvHB4N+EuXL8c+REwYOoeCh/ydPD35vL41JdGL/8AFQ8i9f8AJ08K8Cy5c58dko/WjXiyKjUXKXBF/wDKVxsZZU2iVM3OeAebz+hUSqmsoiCMuuYv+RTrxXJFflI0fDhjlLxBzMvCMYE14WbHHEFkWIs7fxE1TNnj/kVQDiZwxFiRhdlWbMrEfBG/gDywZ/IJdS/CtTLUPwglc/8AGb/+eDZ5W1fcADwKuCCbSoM2x+HygJZv9GuBcwQi/wDiDD9LM+A/+iSvOJcW2UNQF/KMxCLwYjRGEKRipKjqLF4JpHPxudf8Qr9bLi+I27inP/yEhTHubSXW8suoYHyQuVHZNaTB9QqvDESMYEVfoA8CbQ1/xUZiagJFgSy6m2ppb8Qa6483L/UCqbjpTuNDwlYnR3MjtiZAQaEwY0Y0JQ2TDcJo9RpCV4vwcLTD/wASbrESCdMDXT1KVTLMwR8JIIRbLD2QWuESQL+hDCbdxYrAuYzEeKGEJ4qFkr9ncCocJgjY/HnNJUx/8XpgMzEeB2CsDh4VRm5jL8Ep+pqGwrlISqMtZYdRsamEKpGPEqhVLDxIZNQJh/xangjhLYWjVnwSyDp4LpzPf9CnilBRnZBMH7j3FrFuAS1C3h7J8xIGdYvw0jeAY2ZclB/xSiMLTNIDKSgxqDGpVQl+GCzohA9xIAQo0ggCKP1jLnMpKxDKYEH0w6+oNlxr4yi48KiFKsQzKG98R/8AxWpU1F8GNuPC1X1GIefDFlymH6GBgt7Izmae45Yyo8ppilwx13HWI1tCXGEpIDftmKYYH/GEj4DBTDNv6lB7jVLix8Clw8sIbgNr14N9xuDLuEj1tm2WcPAAZaZksR3EplXDmX/GDHwJsRESsTkQm7GJjwQl48sGZCS6nSkcUjhgmwpNhtftDGkMxauCQRFG4gUK575/RklP/FVh4sYWXNYqruVqUpi9QUii/MMuXGcXjD5yCCl6mYdQmikCmEvcxKmyR2ke6iKgWkq7EGDHBOBNc/8AFWAly4InjMVhgi4qZCGo8xLcZ4uOUwSrLnw/6vHjvF1DOR3AC+YFpi7cVzIa4VBnwnvcuO2/3PgJS0FIxwf8Hn/wuX5ZcuMfBK8mKJKEBC48FphiHMsQDzLBC5LPDH2qimaJ19ylrR+8BA3ZMW4CxhK7XE6FhSP3CvDA3BLia+/+CMuEP0vm4MuXF8J4GAQTwoy+C5zwEt3EUZdPDL5jua7gi2+xGOvB/gjMUMzl81cqN7fESwjUWhlFQy9jdx/yndia8RoyviZ+n/ArlxZefA/Sxly/C/0PFDwbTBCMEMY7jQ8WVK493DEVKHEx741Z4AbMMs+Hw3D4Di347hqlruFewT2J6i8GCXoZudLU17lBKU6m3ZlVMkjmlXKgCDDzMyzLzBUH/ARZcuKcxQZcvyxjFh+kEWDBuC4jVJCq68SRri2S4wi9kp7E5eTZRZjYVxokrgsgX7IriXM06DuWFluWJS1z2RQKglS6FFTjFqzSdwx6IoQX1swrCSow/wDBggy5cH9IpcfGuMc5LMWcQEeEZUyqXPWJS8XUCkIgZZZGrqMpE4e40qUEaCWZtRIKF4iI7AHwmqHmAINIC8SubKIhrY4ZmMziRcRiWlplBFRmKTYz/wADC4svwHi/AYPh8ckssFeYtbUzlg0rbCoMEL5jsMABi0mfiF/McKw33AvrxcPrmlwsatLQ1CsiNDUVKwQLDF9UtJF8wJQjCpJ+QhFwJZGZ6/EUnjsNxvHU6d/iAotQCpz4aAVHVWcytm3zp1iVXwRqZicpfZlQ0gfUj5hqsu6u4q//AEt/ovzcGXLly/DFFHL9AZcuEDLizFFGU+5OUgshCZiXQmdzMrNr9RotPc06YHyZ6fqH0nS5VwmBcwgtiBwjG5YlkMy4g1JvIRDBuUDUTOZoLZWtuDcdR4gOYngLlvSLtoxADDVHOfcQsSu4bO+D7xNpbmq6jC8xy+05jthCn9ql5MH/AOlflly5cYIIuXLl+EhmPkCMY+DxsKKXFlphtz2hghDwWS5cvMrvCvUWYoEyp45lMgnmNUtLNy414euT5aUKAMGnasMCU9xKriYYCncfZWczNhptf1DHKV6mxhcsTsCNZl3LtFkzioY2rteISEIc/M5HE6xQbi2VygXDFa9KlwHWP/0Vl/ofBhYMGXLgw8MMOfA4MuL4X9L7HxcWKrInK4Y24EgRoGB+jpl27IqNwH2OkMFtcrfOUBwIFNEGblzLCMJZuJUIwURhOcoCYj9MbdUu4SqL8dlFZsCkuMwApQOgVqAcRq+4U3Gg6DRMp8tpk2v5Pcw7G+0+5V9uWBHkb8Cy9lDyuD/8183FlwZcuKX4XcIeL8DwxRTaKXL/AFBhPZHwsPgtEYIlZllxBS5S5jiHbehMMtVq+5WirV6VxOA6uwhur1OY39Jm90jFesEwy8azqb140+pk8BXSkjUIF6JRnNZYCeoJmCnAl4LU7BArcDzDIvKQwgYwWVo7RkfdhqMQDK/fEZVy6lLmqlXLuHCP/wAtixZcv9A+RfoCDFjDgy/Jry3HwkMZ+jD42HwCLka2kvwqKwQDQEjeBiwnb/YjGKV9LqLfYAfnmYpbvw9wmuRX3H9G7VCQUUl2cIXEiAtmLhMLceZBXfxHAfoidRKj1KdEPdese2UvM7pTcDVez5mU2JlH4neR2KXfSO7/AJEp6UmWxWE1/wDwzyy4PljFl/pfDElRjBl+F8M/QosPEwxS4GPjPixmyt5Zxc7PLn1Clf7EpiuOpXFxhAErbr3D2jAqXAEIQdmJipOpeFjwlErApGk6gCqm6afMHbQeRE0/csiyY/xEIFC0xhnfcEYLNzqF7hMRsupVmUZ1il+INWBuIXdkcCOQMDc7wRMqwY+opd7fxxMICuohMvGSXqCjNSrpr4mAqtp8QZq33ETCIJBCDEr/APgsYMuXGXBl+HyDLl/rT9Aw+IjCMvgv9JbX4LjLLmXeSXh7Bb+8pOjAmBAvNPyJx0gWPuBgVpwbj5HR2/3mLGCQNZHiz/liXYrccLcZZZjvYmpNsFDdffNfHqcKjivUuwKz3P8A3YRe9cMp8AXxkHlVw1iXq07rEJmIwTALl/xXg0ML8pYyq3UaS9L6w161mI8x/wBf9QMdNiPNXUTHW5PAOeiJISeJQ2Qo1CXf/wDBY+L8PkZcuMfgeMkZfljHzrLn4XHxn6NfPqJePnYnDmGKPR1Cqp0rP7mBs5YHpMXFESbspfURVUvsNfM57r8R6vljvC5cOiYvAmPf9ksANj8DwywAcFkPBq4xN9ItbZOQUzEymo6pMywxhFKpXVRSdcnAHcKo1DeV+7Fl8EqGnPqUFsgjcWiQAuWfTmO5VMbQae8ShmmH07I6WvFZxcuqm5uALrsr/MBLecy1XYYZjAncdvRM2mVkWVYkaL6gS5fQ7M//AISsfN/ouDL8i+YeIQS+RfIGRhFjFwZf6yCx8Dw4o2ZnGPTUPhF1T+UbTcCgUv4mb7c9L/dy9X+V/wAQdOBNNZ0Rn/f+Z9gy43m5AQPUKAGzmMZ0TBuCVr3GDF9M302CEqUQfDjcU4bT29+oMaZg08QYiTyJSeYsw7kvlYhd9xnwlhkyS29LY21fcwWkIPbP57NdrVZl2wHUJLZX1v8Aa8kwZkKfgqFuzZ75jgSqlnwr+GNcwlXpzddSxuLGEf8A4R8MuDL8L4P6akg8cUJfGy+MvgYP6DED4E8WaMviuL9LNpcJ/urXAx2b6D/mW4NFfUwGDqmv5JZXKgXiPeoUPCxCXSJZdzgJv0JzlBDzB1geDDD2TXaTFXb+YqPWWbjQTCk5Tr0u47d75umUkwOCIGYxyXs+GWiC8rmzwhk9wEvZy3CyG/cJ0s6LMS3m9A5LgLrOvj/3GxIEl9+a1XJGGH1cPsmvomaw8pQ//vuXLlxj4Hwx+L5uysJsi8qTX5bFy/0pXMHwF5ccfgZPG+MywvKBMniWhx6Zs+Mx04LFyS32wdahKdeMS/AWFD4FFDMcOErb/VEq5HUqbf5h4N4ZP7I7qKfbiX0Izcsab5b8Lh2+JZ66jXXC2ukwLTEt0hzQ6bp/MOxjyR1MMWoLY56ljV9KuFlAeSw0uf8ACVhi3Eyb6nvR+4p0TMTR/wD33Liy5cWMJfgcYZWOUyjAlcJCPgx+B/8Ah9HPCTw9PCo/1ihhzaCsbpHqgqNoiVTXMSPmJdrziQikT4NMySiGNF1HWa0axhI3cInMo8OSE+oPUNwNfVY92cr+4um+uc4d8Qrtavsdz3aL31LpAd4y5hxDZDWNutxL9VSOX1Mows7W+rm0GvaJ/iULAQVfy3LYRDqORlcfvRc9TZLcX88x6jD/APtMf0HhjL8vDC0xH4GYYzkIzzPf4WMDXgRH9O7Ko68N/A8T+ie+Jhkm4x0zGMIZhzpc8GGHUQiuiUS/ASBM7SzbUzSypgndDmcQin7RSqruZhlx6gF4qDwpaqn9ogQZDzlyw7ZW74ZWm46MKA+IrN9WrMvtlWhpX8iaxXM0lU5bqaZX3AHdL833nuU0Hxs/uaLj51mLadzAyL2/iFe1mVwl+IvYqPf/AODKlfoKKNPFf4LxFLRKCUQKgFvh1vMXuWyqsxjLwfCCX4WXHySHxQfCsaoblxtCVPAYdYUlVL2YVuBLaVDEpYNRGQWV6KHh5/7jWuN3uOpZ3csBdSjRLn7oW5mI35iuzEavhzCvUpUGBVS2MN6jjdy78Rwz98zKbrbaiWeqwgIyh3Hs+TmJTz9vmJ234yqK4wSuiA0biIElklLMRwGWwShrqFTJdDsjA+VDhRh3x4lFxCATU/8A9zLly/0HwGIZzKYYxTzZceIAZdcbISMTWPktvgYRfizzjDCwLzmPico+Qy+F3qH1A6lCXVQVV8yFhLOIkukKjPVtcskj+ZXyemSb6v0zRjBYhUUyb/eKAOHLqMqKe46rg1LH3HTUZavpYtGw5/EPYrBQ5yDGQUTIfeHuLnBwMFM6r8A3Mv8A8dLZgBtrdr+YBqizATiWccH8NxutfcX3M4G/d0+pt0w1dkJrRcoga0RXtP0hpQGJfZzFisBuDUCyf/3H9BjFlxjHjwM0goQvD7oIbl1xS9hl4iU+C+YIfpax8J8++Nh8jWHgXc4wqHwmEECEGU0XFlwLmXYp6gFLqXVyOEgsvXcpYol+hw8uS/6lXYbp/crsqV7x4zqOkugES6ZoXH9iQ1CEcgykR29lZxE9pwMBcEVU73+Yeof7PxFrWhZVPUz8PTr4jnAtr2+OIOYm2qUdIEnUUcT8Z5/xnGQZS/2lBK1+EwUygSEYcIHpqV/OVlPa+oBxm2XYUWKOYRxYw5TCFirg3/8Ax3Ll/wDwYv0Bfhixjz5aCOXgDMYLmPI8K3LIQZdGXlvCv6K+Sv6S2Lj+h2vymWK2YyWBDUpCl7EGTnUBtjANzTZObg/9ifsi7JZXEPUbFi+O4UH2Y62ucxGPM+HEQgtps/zKIdVqD+vqNcFrTDi2GD/cthdcj97jc7vzmrN77rf8xY/cWzwF/DhlXxF+8kHpCsbf2NTFSyi4k4IyuvQi+tGJVJwO0sRKluU8S3ssZRwkLLx9RA9oDdKV8TEc6MJmS7JZyev/ALXL8rL8ly5cv9CxxYg5j8LixYpnHXncsHLx8FSsYMLw8OTxSnl/H6Qf0RfNi6e/2/TixfInjyS8QyVQFQKcwW8wFEEOYrBYAzAzHUdFniKQEwQuMrtxGhU7/kTjxd+fhQAvf8spPon7JSq+SPIbB/M63xfmULZ8Wg3Ud90RcE/kZf3HQR2xu0p/PL9yB0H7oJ2gQb3zcowJld3/ANxSBPqVMMID5i5rQ3kOklABXMc7agBtXTR9zLMBSy/wvol0Ez4XAeuZxL/pgpI4K3/9WL5LixZf6lXLi/oBvPlSWLm/Lu0vmSAgRp4BlpaV5BbYN284xBGLsYbIy/P0+DC5rGCDfPhUvw5fHEq4ZQbLlcgjmfOW8zVDFIqqZYym1BVkAIuBmERlcvx1UtVkv0mGE3j4Ta9A8p1wwgP6Xj+Yj3JrHvh/GJTEJ39Uf7lfnLa0JLlMTkqw9EYRn6RNkQRK1BFfPQR1VeTAaWdpQD4vU7JkFQFn2JbtVm+JYOFt1DEL0Iq1HHqISs4RVMYvhSSqjzPXU+YIdSUPcj9SmKX/AOrFGTwnioxY5wg81/RZfBc/RL8MpmlQK8pifJIxSMFWKzHw5WPgeCi8Sy2osfEmPhf1FVYMhuYvcMsYgKzlEHEN2aNaZUrIMDcdUgK0p6Pfm+HM2PV0HcJbjoVKoAXxej0yoBf4SEOMtD/b3OE/9Yj3JEglaFsoqPTMwg1efzBtnUQFopDxSdL0fDudXgziBCa9ykBzHmXwuOIC2DsjyGvdy4nhWEPldwIBtsTaIgZNCsD1nED6gCtIsxUPaZYXFXUDcYhNJKrlgTj/AOixf0Dv83yvxHgTE+Jrjj4WM/6JlXlrI+YHhamcQwY4wylPFWR/oMo+I4wtfodlivjWL4Hx3KmYnhxtxCLLFBAo+8BwHkYlkl6KPpj3tPUOwsPtLqcwKJLnoixpnl/5HqUYi5P971UqWi8bbQEFv+6mYDmHK6WNVrh0Rk+toVvl8S1GFs/l+I2zlswk4sJiUFZDqEbllrZFYbLDEjJ7Lr4lprpmJdZHi4hZhiUONwK8OI7LlOfQPT1FXe3d+x6YTGj3AHKu5eJj6SCo4YkB8MrPll/rYsXmC3gUuXFHF5z4TDDL+mLPFyQDMEsY5Qxe/PpOO4zxRGZTCLE2lpbxPmARl48WL4FRS4sUfnJGMuUqWoT+5izBl+UPuKzvpOY/ZLUZJddLiQJtg2IxKJpmLGfa/mgjirOf9TSHCOvj5IlBDIOnt0kIxM7fbhich94Nx9EqH/o+Ii50f2RVl8zhx2vZX9xof6CezmPu0zKmJRqFALaVxhcdojgeHiGBhJaVmVU8zczoi2Usw3A8uV+LjS1jpwvt+J6NDeXC+LiwQbpmfl8XF8L8ryLsm0cZH4M4/KKIYxi7xfG+YXgYWWiTIjPFZ40Jgii8ZDNngGv0ZYcWNxMcpcIUWLFM5l+F+aj3L+RvyxzNEpQAsgPD5m2vEOT8JQMWGJLDuNw68tBucdLwzKnGziUDSbLn6SgydHQ5ITwM0bZ3z7JjOlX7WP7yCv8Ay2k2OXM/9mRH8/fTE8N/lf8AUqY/1f8AmYjSxDbeHUM4z1/iB+yxrh9xpRDkEu8o5Zl+OYvZdZihnY/Z4sYtK5lorMGEnCbh9eF/oXyLlxReJh5hF4KeAvF34MC8LlDGE/aMjb51MviQ+OswC4IsRw8jFgosFiVPfPZ4a+F74KGGNvElhRYvPIvzGiSie+EFvBeGHxdiexPejkOrlLo4yRFG3lJTJg3iIQWsA1DrZ9wUqc+jRlm1FL3kP4jP15dD/d7l1WXjHB2/EY00MVK9W/5J8JX9n+ZU20MdP4IHTDsqZNjL8w/3AHR/ymJ6mBtROxjsm84isnHYlplhIQNkhOxWfmWhKb1BeGh8CFUqX+oTD9QBs8KZdSnxZMJfHYGXFi+BZaXvxpUIPAQeFEYGbxMfESCt4X8CESNLwaiZl46S7mZY5+dl80uHgGbgHxYPieQni0vMZcXwWe1gIIFGzJLIscksi6lOWOD9ysRhwWUC7VV9TaeI53Sk36WI2bPdoMvlzEhUTotvsTlvl3lzklcfYmQdk7poPlQ3yWx39kol+ojMM5wt49X174hT72+IY5WX43HBRLYFnmO1KkrVNTTUIHAmMJQmP2AQOUA/Zl/ChRNYuICskDwEaeKlSvJQ8BD5AZc4j+vMo+NeFji+BPhzKf0BfeDYSxh4C/gBfFrxB+h4+PPA0Z8+rMp3LI5k/Q7mkYLLALwai1+lQfC4QvgvzL4L4XMfDqChF1klxx9O5n0J3KVU1IHFq8YeIlvmAuibXFg0xaGQfENhepwwfKUK6u/817j/AN2K++6UBZrWDv4TqDbUPKmJpl7+CIbdYkKY/Lfp7/hDCQaDXCI24gZef7alcYY6nCYEBnHk/mc3Z/hJW/bM62vX4iwNtvzH7Y68Wpjk9IqzBSDLly4sf6ozH+hJJD8d0uWvzkMrwfnV8Aj4TTLKxGDhA1CJkwPiIJMZhSUeIM/ofPL3g2Li+F8JB4mX4PxkloyPIni5bwRij4IQK0qLTUY7dUm4R3DNXDitgZYMnQcQHbP6Mx6aNi1zxu+pYc1/I5mpB6cTYEf6PUP+FpcxyFUtVD34juVS13SKzUCcQ/d4/efN791mAxukjM0F8HuA0pZvvkzS9y+c02hcxN0y0PqXQobmczZgykh+iFij8DGEJw/ojXzG/Rh/Sr+p9l5rPg18GLjFczwUQoDwrByqZJViNHZUC4+CvKfgTCUqjcWzMsJGLE4uzeo/osBwwcS4H6srwyo+BrzKlQMqoPqhzBQ2RLD6VZDFEzT95/iJPCpfVCZIXB0ek4pNeC/sjQXN/wBTnU/tkwMf7YLMAZZMwivcLF3YuX8EcvNXq9VHW1Jh6aLuo8BXvkPqX4DBNviFcik4JRWfC1+BWw1EgjwBLfOW5X4PjYZfjj8Tn4kEH6UCvzzFHg+XhlKxYscyxhfE5eB4JZULlAmDyT4BMokl/hhlwu44OPJsNkBSU2fjZBjlxYyykWXOIMvyB5L8sMEwmiWgo4XdRVNqBjX3EBYDbQw+wgehmH8kfKKmT8V0mm/2JRcCb8yrep/v3CJ/q40PJELAQrBJNwT5ZhgdOCX54DjUcjGQ9cmWZQnxiKplNRg8IwepnEpFq42RWNG/HbgMSnqFCVo14LjFh5fkjSGXguKjwV+J/QxJGT9P98+ywEfAjXx+2KXxwy2ZuVlBMMeWPFMpBqKqWILhBbwh4eDi8i+DfK1KquR6AbjqQVFi8KjEuZZrKI3GXnXmL4uXC4SMwfxBca9t6xCY37jG1NsTY2JUaGup8i5i51HFBOoWz3uGKE5FVQ/uV8y5wM/8OOf8pbk7T6v/ALj/ALti3hAqgDqCzcRUfEMs115vc3XMjrT94NsByPFZuJnc49EG9K59Qab8vUYKm5c0Lh6YFsa3DdspeDGmBw1Mq9xxqMUy3xsLDJY+djmsxeK+LG/BUSNy3/wS1YuYjiNzGNfHawi8LYbj1GioKo1fC44g5ifNV8Dn8SzFKV9EfvFBAhERzjz4MtFijyfQf7Jw/p4WP4Mp4qpcqti7LZa2ssUvwkP00jiPgXNy36CPamEFWNBFai8E6LZVBCEJtQfDErHsgniZl75rHrX/ADLC4GukAVjCQ3xUXXjQZqz+3UFG0/wH6gm/oKVF2YhCABF+qOJzKpeMWG6NpM57vhhsez/aAWAlROoXhEo1bDgl8JnWXZ6cRtCd/wBxUzAvzcVruI5ZXESqZj8hZCxauoleIvFJCfbFhfE7ZR5TaV4WY8D+jl/oMzz5pn4CFx+o0mEbHjmVmV+EISbTF1LaqHB9wz7vOYHWVY8X/hhZYF3b/wAiId5/MUwjJL8TN8dIcQLsAP7lnzNn/bcBMW7eVZUQ/QdsSXQqxVkagMBXETFWC4S5iEDwxxR8C/Et8XwmTFKC4uC8TJJd4B2wIFO4jdj3FRVXXEwFnbGO0UhnyqxGUgrFEDq2zAX1FIxY7Ti7BehePuU5/bhs+SWE0a+yVAviTQckTVp8Iu08BFOn/RHajEBa2IldVvL6nXaauKH2mchb2j8loZ4riO0yRtLme9ytEYXDw6vmDsts1it/Bp4lfE4eCqUyrmWeA8HMpBZQa8DzL8Ar9Ht4LwBA78nk3esfP/wAg78g2JtCOH6jWhIvfzXGoW1wmVqAxg66irCnZKUc1PD17lDU7xGd5lZIEMVeo7ouoBzLXF3lQZxODjogLC/9Ri8TBo73UFNo5uUkKP79RXW2zEByrhwwRxXeajgtrw6fR8dx51CZjmkZyjeFzaN1NuxUYkwarheiPqYliCIGY4jgOYaypLslxc9+6jUzCWbv0zOUuAYqU6bjeT/5GdEeGXsRtxNPqpg6XFZ/czn8IbF/lDiIxszGfdPiAh3CUKC/mYmMMLJuCJSulwIrjxErNQL8QAN/UGW9zbiOSIrK+1IiONan8iXscO1KS4jF+Yi1K5bDvgXhxzXxjM3i+HivxsDC5kiESXjN/g0Hj9CMPC1YfhHLuNrinR+5/DAf7lkNOSYvf0bhSLeohTPzB1np1FbM5Tmw9jGBzcKVcyMMUtZ/aNxzKuW/j4IQrobg8IVj4gjk+JgqQOCUy2MEAdoqUg6ahmr3nIp9J9QTFpl+4qCKSE6fC+Y6sL4H8EtI5Zf2+Z66l+IxfPf7eAWGUKN4k1UnGpokrqZWSpZIouk7nK08RIuSLZNPHBNskpaois5IBZsmcMzuJCQqYq2Eyqpp7gzebKWvmX01zMA3F4Jp3x1FqTnWr6h/q0sprUEqS6FzMgcwJmd8aEwRQtoF3ADqrp+IFUJw0+N+YnzqXruh+CINy1i14HhMsKKhGuWWN5mBlEf1M1b3kxHTxqZPIYNRJ5LFw8BLbzCuJGrUcbALt/AT58FW+2GGrXWGO7SMOR4xOEj3n9pdEXzFGQo/GmGW3eGYh9RzupbBVzawXAPmfP8AqWzFn1Lbmat/BtlnO+F/kMrTKHqLoMwiHs5lj6Bh+8YYBvdH4lbcS/Ctj+5zGRoLWyHNcaKgPgu6huBFsPpgsySlQpfzZYRlSGFA5lQuPAlaIzEunLBOZDM4uMAbqXrpHbPpj+n+WGDPctXFApSxvfI507UxhEkD9wUO5pB+in0aRilIvU90Rd15Y0rvUvoUzHGA3ubVzF57CKh0iVWvi5YeAhNbUswXaILv7SsGVhiRCWBL0pTGYRj3qWlEryxSq478AeCzL+hFFhMFX6BLBhUHhRFcMSMhK8KEXHxVDV5+UsiPpSrPzPf3rP3gCoozADf2qA35kP8AMqEtnlX5jQJ+5/MuuFrQbPdMbVv/AAzu3X8SqNRaDTeYq8/iUtf4RHIe1gZTTwtkU0cnbMSzcJsfHfSR3Jcq/DDth8SymFRWLt6ZUWlaAP3Zntw2/wBErJa3rHLYURi6K0rqvUEpHc8P3ErfWCvHbUXbvxQ7p4hPtwcKvRA5lC3Xv1m/R54k5tLYnBv+yFFIpRycMNNZhmRu8uFcsRKhhL5S0zUcveX1aAUGWu68g15o4ievW/YA/wAysRyx3Kdb/ufMxlDUa9XxBZJ1ySv+x7lrZFlDwI99R8JZVnHLA/DLlneo6nAjFw2i7mGlennrO5m0TFqr4lmtnbdRlL2ZfLTlB4U8Jnz+5HCGyG2uIhwcBL5ezMZvMC3BJqHyg8VDFmsCYyZPijwVlcT4nzTJcTwqJUWgZYlZSO5UYSJLD9AHxPqoyBCtZH98RAF4jCvUalDf+D0y8iT0/CWi05Cv6gHizYZZKGNsRSuq95dSnC2/b66ltF5Pgh6z/WJZSwxgzYKYzV8RPWKhQ8oBkynGrRjZZxeoM8p7V/EuU29f5isvc5T3mE2reBkHj1EoO1RwEKli2HRIDoD1MrP7YtcdX/kt779UMeL7hZyqHV5lE1ft59Dg6mCV7X0BMuNLqX1ZFvYFhu8/mH57U18RJ2hza7wyJ1OPyd+5l4OdMRHj3CN5fly2IYjDIzFjEFMMQM3TCNnuWty85cyxF7r+axHkC6I/wwIFWD5Oo22dp0fc2dCz7lUctV/A14YSH1F6XDq8jG7lVfRLhVgPqP2Yt5WYhdAIBZZ/uImK0/tTIGqgjsbo7WodnbFkRu5nZ4qkNEttBK2cjTKCKEbNykBUbsCbseIsHPnl6gHXi9aKeD4Mv0K3iCikqvBXw34PhvxFIsGTEX9rhX+O/LyQZXFH4JZmYlF+v5igLtBmo93g+JaUBGMsu1LLVQZi17flbfv3APwAOPR1H9v3/cZ2l18zCgzlwf3HsG71Ka7N/c/IYiAjor6iiTv90EOcYIyjzMlb2ZugU7nxoJp52IkNOsB3XBcD338xRuit7ll/l5fwj/wMoCXyfzByFIE2lwI/bH4lNkNlyfs/Mx57HTxUfyiudoBTmr1BvhzZ0/luLxQ2sXt0ECLWLQ/3zDHcR4Buqw7lQoLeT+kTDVFQ0+5TLy41/CXoFydxuZeJCyiUOole5T3KDE6fgUsOpkMUyqHC7OmIZI5IeK7WlOZbVJzA8SaUrDdlVF9kbjQX/wAldOrIqhUWzLlbQo91CC0Wgvjk/lgUOD+UNGY3wwR1ZLBmbXglFiCaxrq5mx6g+Cz8JHSWHmKAMAEDxC5rLzEYF/MS3EvMYPGdamOGXiCupt+kEfHEZUp4ologsZFTAAUMVK3AeDJqNFyoPHLqj+U9V0t2ZVfiKJt6m8X6iWvof3M2sHWiWTTGCBmbXB/glIOQZ7eX8Rm9Le4R4EoDpiYb+ljU48RBDiXqre5rbjJuKScszCBItORCNXNWC4PM/OLx0lAJ6hj7iiEt219e5UFvh/hmB7A/6hK8/wDRm2ekFDFbgfSlK3uSwfmWSB0VJ2v5r+a7IluLBMRhI/7LtIOF9F+Xv78SQ8OvkK516ZqeFrzBxsjsvLNjtzoxLYjmBrOJb1S73RukAxciAqGpKIMjbg1UynqiWi063wHTA2cLNs4is0kpKq+I0KCUq7JDph5o1f5TBQ2v3CVtn4YyTzqB5tEV1vM3/aJbAyBLW7zOUdx2Ey7v3NUqJiDHJFKwTNucKG7lqmUdHhUlc4lVgYL43GQg5IDFUVczuUJhIuohuDefCziZIyV8QzJFS81jPIcBM5UiZLRMOgtP2Y6GVwkwgPqL9TVmNSQtXVqByGnv8wyn8GYi5g3zL51HGdsUSNyuJh9raFcF7ZZitFGdHHDX5blzXTQvkmHr7uXxNs0l5aissZtHADcYzXYOczWRupancwTKPCa1Z/JA+zpgElmycMtdZF+x/ZE29Z/uILYpgwv+yKAWm05/7i/FV0+n2MZElpeh9QKYEFrWPXEVms/0jCs7zv5uDS39p0+cVYPa7+qmceL1ZD+04mssW7CWwX4eStS9iokKSXyWJV2zvR2MWKbj5soPErj68ftO/mPa5aT83KK3LmNzbxT8M4FlGvqFUq6gAY5nc1GTvxrtwX+8uLUq1uekGqgqKxcwgMTFU45TCXZZYy8vDMOEEAJaCy6JVCyYefOQg3CylJBaeEtXjDwEzsEaqVCsAJjz4EMy5PZFTeo5qIln9KoSeABJZyWBcVzt/M4QUWrM8765fAguGDWeWcqjSD6DxHURXnmK9g0f3PiZA2S1C2z90sN8G+y+4FtUaXywZfs6DvFId+PfwkL7ttWfzMEAFjB6hFPu+4BXiNdRE/yiUQI8MRAZen3G2bXgWTGhnSh+qQWGRibLjTOlc5mGfV8w2fdK79TE4jXdOoE6fbme/wBTZk+Y8T/NftOdRr+nqOh0c9zNuooyf5mLYDj1Dh3t/wBr8xSjAnDNzKzErFdwcDNi6sXpxHckvMs0Y5XUwp8BJYUAZAns9qhRvZYINdMVmSH5QVNHSyNQIboPyMQ1Wi0BT1iPEls+0OQhVDHPARM+N2+39T5AQ7X/AAswgGKf7YMSBkXEFXTKioSEBnAW/PcRz7+CXgDnAzKxMGNs7YAMEbmFUWPBdJwrj3F1K+YE5lkd5goYJWRhZlHM5aVoOq5U1AweEdYlIgeAsopYxtMguUqTJxDfXgWUssVBgILiJXB89RbGqObLMUQwQ/ufELCmjbB44a+B/MKoRzZFJaQr/KzIkoKX+iE+ZfKGD8zhJylEPbgYK3NkvvawzZ/b7+YNrVg5geuGGqI5ROHD0Zcg4fcq3MaXvxLaljPYgxOGua/Eel2+iFZabuJ8PPxBTPdf3Lb9/wBkoADknV6VpwTcshtZqCnH3wO/mERh8OJe3VefUS7/ANjHse4RSjFfvsOIq4ew+ExjRXuamJhCEUs6o9Rm5qJR7lD4lkmOZyAxkJOYs0XEuDYdcXWYguFYHIVqW3KlC1TWOJQxN/QfIq+WbBVS2A3jGHMG5Y0T049NEcpjeQKFXCgm42RiVO3JLJHN9fM6Qg/DiL8z/Co+EjmJhQFtx3F5la1FF6lizK3TvbHhanNGhHwCFiaabxlaOR0vBEoFvMbMGJVqPfN8nzLXHLxHmykgG7gCrjBEJLDLcuQdSk5nIx3lhKW4UrE4FBv461VE6U2WQVDKUuh3uO4ieP72/ECHjVB/nMt60NxKpf7R+1qH9TMprHuGVv7ESmi/+TNnKfMsFqBbXLe4WO+YMFUBs0HxcuYGs+oBq7P4lDNgjgfAIDaf4hraTIzK5LltQox6hjq/ecD/ANxQXgm8n0YT2DjcWArWMYZi7wirOiD/ABL9WcK5vTMIYSep9/MpgQtj26guwX0YfrWxmELYxPSwbtz8Lh2s96xGtMOYPfkRfd8cVx+n16exgGuO+xcN2I/Al8uCWFuoe/O5eFW2rdQjnO+D8SuuFQGyMOolYkp9kF7D4+1GQdkyBatUt6cfNMWG76QV75riUumB8Rw/uUsZoOiMFy3klIIwTfsZX8EzLV2UJjtc4CWfDbSWT7Lmbgo7ZlNCNCUNMxzijMCo8ykwqbimPRM2oumJK5iLGCOJljLVDECLGSVH6gGYMYoN3x6wfAVjsTbEWmZhjylPgAMJA2tzAKYtwfiAlHjwRUOXdBuXrN31Lhiqx/TBGHB5b2/0QstXRzPyQ+Zfrf8AA/zKb7mtdZ7lBkDBXr/uUW5pb1wE4GIfsYjk1tn/ABMWQ+FsJ+gJYGvopAWr5ywJd3Pzg9RypqMTVl6xFq5MAxIXLKwuo+4quhll2ckpREumyyCv9L8wcJ/H7wqSpwQEU1r9QEapa9YGav8A+Q8K1yfMeZgs+OyWXXq+fUeU3CbitwHB/iL6HEZfXvuDRVpXMMh1KsiHLKmH2flJUM+t3yJeLpVeiWguvcTwS55vACPEGhh7BiAZUTUMTDTLdjEDIWKTWX/jqWLH3GtzDKIhGyoh1F5Vp1Lp/MF9mZhT0ioDLtGrXAn9xQBLyqV8RdWYBjLLBqp/MBDdmt9x8TbCZ8ypCHjvlUnETSbaZkLBlf8ADjLLJYiYyWkszU6EIYhyS/qBIyNWcGW8RkUtzN3C3i9rwS7qADxmKIfhgsiJ8K0SH6RaMEhvtucWfw5k79EYX+I6jgpl1FtAqxKbdeF7ix0lHrqIAs5QiAy7BKvV/SV76Mfb1Nt0OHHzUx09q6JkN79yi7uGCv8AWVx2KFOcQI5peMzNQJyQnjn+kSIGM9TOSrNvDqappwTuUgjqz+4iVT+j/wBwSrvjO4ZUW9+5grjy6iN/b8Rp9Z+In9pPUbcXv5gUSnm8PdRRFO76+O4ZCveIGiEFey/5iqnOFhPb+o1PdMvGa48c/Uddbp69yhBlPG0NpLfnxS6ZoSVuZiIBG5W5dQnl9TXRYcINA5wOyUEvFrR7y+bA7YqxwyBQ4a/iJaTFrUXiDlLhkxCwVWrIQM6Ou+IxPxfh1EynoxlStQAgoXHcwouwmkYLJf3AqH3CUbCYAjyRV84uUQKywkNzZw4OImEkBIAZS3BpmFL2jo5myAmDKCOkbxVCUMk9MBqvNc5abGJQgPBWi4BhxuFqZITYq/CMgiczZj8tV+DqZ35qDVnYGX6gsB7rb4iWhf4nQw0llHss7B5+Yyju0C4B4hvFcnB2+5hjBr2v9s6+uc4/aaCsztm4GWf5VMdm7gpfa4NYNxfUbhvnFfExkDQn3Bgxf7zJfrz/AORv1rfPpggNOSr9NSxl7eyAJoQrpcP5bmTekmpmr36hc/mD2jEVcjXJ1EKiYP8A9RW2utD6l+fNPrpP8TIqxFPgIh0yzLWxfsocPcFifymUpdTn4Z2sdkSXUuPmbXXDB2mM3Tr3EhnMFRcwKVCDTF5X2/JLAfUBH0S2j+cVF0wX+b6ldh8/PH0w4ptuj0OTiJ9bzlXkl3NKKe7JkLR9nMrMu8ysUzPZVSnuCBBcALPhrC18j+0wjcPx6Dcs/aKCkq9TAMsuveCDq/LiBGEiBLiHcOXcle/EscJNkhQZmiKoZbBbcVRL8SlOEjxAmBqFGky7g+Y1hOECw6Eso7Ebi5lkuHhOJmFyD2sXO8yv9o0dPz0R0Yy7qcikrK6mvoZr/eWHsc3/ANSxyoH1EE1lRuC4RXfY57hnLoH+YhcunG9KxrlfxNGgsDB+AgC3OAP5gVgaHomtMNuep1HCg7iF4a4jp30/ErGjr0xLvaQNZzhDiFR7tai3bUd04aSNy5dS6emAm5Br4n2yc1t36/6ZiTNEfe8YfiEKpiiur59w0bXTkcVKyFKUqfi++oOvBfLXcfUEhN5iy+6Oo0t6dk2DMRKwHRMCulk5kPfEXzLO1LLDP8iLvtdRENxzAZu4I3ByzMPtA1MFMXj6YJZLgwFUmeRYo99cWQ7BVAHrLD8Rtqc90KgrRfZUVbMN7Gj8xxfK+XfuBS51/tMQhoI8uvEVF/MsATNmsqv7Q5FTbRWASqCYQYZRFZ+CpwVTd+LcCzcfEuEObSjM4ZlEpyeFZrwFM3gRUEktXO9My5SRXM7MKwupUWsoF+F/HTAuEZGoux7JKiRwQ9a+ZY2ZOV+sOK4Nymte/qWXjijiLKL38XGR4plxb5feiFvE/wCsdFx7ok+ksBbBbOr/AIQoAp+xv8p0pzJ+yF3ui79St5OGZbkOLmfirj2yy8KCxwuYYUeSGHhj2HE5uuYNOL51FHSs9QNeuhPuW0O1HMOHESsQURSuqQtXt6hj039x9nrM2nr+JoANBFeu209z7kHuOTpToTHqMo/qWbG9JQ7LJ1NZYbz4aofAcwv981L4+9kMNcVFrtafapw0iuHtGZYBczMp1HkoaTcJDFMx6PO5RsWj/h3NEEZjXuHjoAd34HdQaerTgOn3OpT+zEtX2mYJVcJLsQlXuJGZZAwpF/fkdf8AaWBTDANZjt+ACjFzekMJjmMWOkUZUzUlkrvDo8oFy1S37JfzBGAwJVUfzSz4ceLYBrwEplekqIo4JfuponiLSOcx8vAdaF1KI0lVEEl/M8bg31rO8wMej5iUMBn5Y5C+34gNWVQJlFNn1zOVb/wiV7uVdsG4uZ6YiO37NRlLv3z3LsTnVzcOY4GLfmJdefOy0yxbS5ONxQ36lgN5E6m4EesFwTVSQDUxG59QGKuOajGJSa0qyZoVnHzzEguPTL0xCTUqMVmpdmCVsIjmhABRdMLhY8yy9VwS5d7diNEWzeEwr/w1C3m4i30p0sFMS8EBk1BbqoUZnjam4eGcbL/tHuoXEvYx52ax/wC0vHlvmMkv+oP5wh6bPuEtA6NRppL9RVzDhz1LDM7EpJvo7agDiY6ZrIhiKksIC0IRL5CqDDA0g5lxGWmOMcKTKPEWkQIeCaKSXOoaoaGJWLYJx4VVMIuo7URZj0RmOHx1TDMSpD8WEzRDDUIEA5TDxfIPEuPYP/UsiztKUo2VfuPIWV/r3EtdsPStYzpVvUBCmA9MrNSP7Rm3JqBml/ZFWPBLKhqWMy5lmOOWEgbEHzF3Fr9xlSZ4pvE+5y5wzkhRYmmIS+3+VzXKjdagXq9F2RJhjLNGJfWJxEMeHJFqkZhrEUgOJQDJsjXLBMCClQM0S2VChG/LWIrnfuXcwXplesRinUsFpX1iAKjWuSpeqiEUmrNh6g0QMgUL6ce5Q9j8x/7CJe1/DzDQ7Hxpn2nmkwkqqFtN4fuK2kBbvMsiKhk1x4tQa8HfhTHUJcMLJVufcsi9S9orGLwmUWMOR4dzREio+bcOoHkYMYzDrUvLlOY8h1BuRHVcC5x0H2eYYIZjGuPEWBU3eLJNI2Uq2lKsZjvYUUfuGa0NaUBhkvMdZbYe5gBzMr7V/gmK6UwdRKoqz7OgnNP7hYxiYL7EiOtqenDc3Sv9YILD8QWSIENFfEPZp1xhhAA8na9Ruiw3VvctYjimPh/8iXpwxQqpd5lN3WHSS0GXJUrmcFKjBohhCqFKKHDY4Rj3CtiwpDCEVxlQGKliwmxBPpEXMk6+T8oHbfoyR0WOpqAfcopoxGpgErQ49PqXZs4XgALRqUYtISFcQ3Fl1Bus69Mc7OZWuXiUErcdYhlrGFVLMMoYKFDPWINGOBUxbENE1gpcziRwhoixLXMUlcZEY9GILDeG8ajgiXBKIyqZTMsWFDFgSRRJSh4Qkx0TshQ8NkzeAZ+GoQROlR+8pbvVGNfEoutJz98R7khm40WkGX/BGd0Brj0TB9f3laIZly0JUfidwciwK8+ljpuxHwjH/pcKytn4moOz+JXwQ/wzG5LEIl+WpWSnR8w9N5oLDjcFYVW2G9QRfqDjsiXsIi5La+PTKv3lFCLKlRprxbaeCGXIgkH3OUzlJk+IeSUYYJjFS5GcV7hpllIBZZDeGCQabfrriJtZ/rUrUHo3AwqIOCEjYXcrsCajMMw1EuBGcw7h42kfwDjBXS3iLhUvSEUWVo5XUyZ2RzNL1xAJ08FRxKpFNYMzYHxitzQqCCUJRjAQTUj+IiVDUeoXC3cIwHME8eDDapeiTL2YseNIL4hfiFo+srePujmi2F1awuIWwXiiUk2c1r4jzaRXIcoKP0e/cHtFv8TbU3JUKga1KnaUmge72MsAdn1iU0CNTfPBK2EAI73LcRmYTyUpdsb+tQheCAN/4iCNB7vsyVG92dsqagaS2x9zrMBi+x5Jz+5f5TcINxRUfEwikcypF14VuY1uO+Rh3H5zS3Dv7lGAjDFOYXmIkRIwXx9kFUtouicQ8MbjbaU57mxQfRLQtHM6UaeIrtCopUfKH3OY4hbXnkg3kRdsQ6ahIQ7PceDKEr4DEmaXYxAINIivFZGqN1GKr8SmbPiBx8RJmXTZVEw6mPccswcytBWMgLOJcbIQsX4DBNli/g3OIBpUqx495k5RnQdDa9EUGmgQ1IOeZysMtAP4/wC02Zj+ChPbKtUJQ7ZRQwV6H+Izgculf9T4JuGHmUPnLMfky9fS4VPl/mP2ZTgC+YFhKISremUrV+oXcaj2OuZcbBv2PqFmBOSExTLLiJF4GVC8VpKTCDNpiDD4l8XwuYYQkwgYial5SNjsJ/EviOmmWB3c5wPolCF91WZY7+kp3AGDhK+O5ZmlEedQQtSg1AZnp1F9o9xLAoQabhxTxshgIZLIGP1FcziLzqx6gYOCWtLmCPDLLMvgEnRCuIBKi4gVm4bMYVQaM1PGML4Vu4zbUcS4Y0IIzXuXM5yucQz1jXR6SIfIs6lFXGQhVjaRivw+yRIV1idGJk0h7Lur6I4Xutnb1G5WXmUZ8x44QmZ6Mz4+UCND1EbVv6P8pW1fIj/sEdO7tqW88MMDn39dxC7Q+yLn0j8JYf2Qt4IFagYwi9J7hA3VbiefC4vIa2S2TT2c/UUcZi5YY74FS48xEPt4xuRoyhjJYRFiWuTyTnFbtpOC6PKxX0jLq00YIpudY1FhobsD3GXK2fXuPYr3MBHpKB7QVztOMQGpxC2zCrUMOffcbuC7wwIZFVP3i0sko1WZjFXlFVMfeFS+PDDSDiUbIv5Y/wB0OaExRU7hMQOYHgwRg1Ms8FSxH8xY1KEpRUICVeN0KRsZwxlvMEXZSRrhz4ilU4nUIEKxN5MkqGsoDEOHGGZwYJMyviHlBcyXEIq3JxKZye5lYL7lcjRbDf7u2xm6fXUyF2d1ANTctcyhKKtRRhEvqzRwgAKNAaIPkMdUf2hYrwoMH3EMLgHjM9YTLMV++szgxAJmjhUYP3lYS7P5nR3Dw+xkMowo28WuaSxhVxO3OVnYRctla1GQwNpMcdShlrGsf9SztapMf+RKIocE5rLouWJZzgxqMo2wwAbhEZN8ICK0tdQcIeCy8y636gVYqbIlVFYOZYLzFCOausQaNc9y1knTMTY4QKiKjLlbxfgB4KNDoVkJ+qUGIDMkHBpNPAiYS1pcQoyLgS6CW/EaEsIwS98CWFYjEYkzJevBDHcukyk84yaBRMsv8SpBRBAIU3GSnhkQmKYGSYh2JwRLjDGp6eUpz/1DReEvvqUDpz8RxBf4ncl6/ugg1BnUeNLbdcf5h7o7rS4psRqq24uczP6WfcI1nFM/9kCluS3u3cYpwnKY68M52gC4hHNxUppSrp2lEtcFkGVLnwKMVmyD4bkoKQSwYtYinWpkTJoPqB3n8hhBxW42H/UqfjZMpA2KMfZNiYI2li67lpdpyvTGbzOLMtiOE4HcwYARzhdJnfKl9M3VsSyJAQdXELFFWcExGRxCrXMVByv8EFlktc9kRCfcYqjmZVqF4Q45eGU/il1mPymDcPUSQFzKYZUQ+OacctQ6I04lfMZEpLE8FKVmpixcKlnwEZyjPiPZiU1A3IsGBpAPAYTCB3AOTmGT4DCeH1LRYvcFpCPE/AB7qVEwO0fI5iF2+EbOfxK86wDiECVebF/D6f5jIwoNNhNQrEazxn8k3etsVbjnunD1NHGJs6uClqJuABj49mJday2/UWO8vxDl4XAC41UO5So1UzCZVngC8OYhVKp7ImKAqH8ZqUWQ0jiDWVSituVLc8pzO6gq32wcVQpuEhJ7z4jCNajq+WcpccbiPZ45I8Yj1MDxbAq+Ll7YOPiPnFKWJALwP3FB5AwcD9SprGMQoZ/yhNeah9SzOTJDHxK9d9w2jiJoqWMXG4x00/MR+EtbNEywFmZfEO5RIFTODbES5HUqqLU5CLylaZitpR3CzFqC+YCosGyBpgi7wxSUxUqdQhCQ7JrB4AXMS7i0vLubLxCKrEaYEuWGNZuGrgOlG0ccERXB4epwHiNGf/YW8KtiINRRnKXf90mSavmot3pHUnV/cK3yVffH7woVt5e5kV6mViVqRYeZmXVLT4g81blgDQxDaK2nE4gvEjidWYOpbxMCqg0woARryyHlUYSHmEBFzKsLAjoUD7jFVyq18oG8ihWyDqIhDNget0xkG2VL1f5hUjA3/aX/AMLb/BK6yVlealV5I9ejcx9I2OH3F2NLY9eo52wKPnUoo547Q2hO0HXLMzow4DqK4iGIGvuUGDv2nENlERl6zMiTlBhmOJhe4ici5RyUJEDGqms1QhWQFQbEPREC6lCFBETEyxWeCmGaJFOviAdwOEFeJtSZYYFIBaBljwy7ADUzI45gQyARLewZcSifxiUDjhnXukgEQfxZ/rikQKVbcpEaGjiCWbzFL1uXaHj+yH1R3LgkGMTbM5Wr96ftGL1CrCHrFljuXC48wghDdQSLiMI/AwmddQ2l28OaHcLky6lZMPPMtEsc/DtYNsqDBSBEfMrzmECt3DRwGTH+1KFkuJhjh+8cJR56/wCpR3TpNPxCxMYgs9rll/mGtUFZdwurtNvqKGO0At+lw18R4kL5CIyhbjkEHcI2+JVtDdI2eJiYMYX+Je2CPmmmCMtW0pWHeqCmWEyEMWj1NHRL7dYjXKAiEwQUDYwjFfpnN1aZaGc0pLo86hDdwiWmDcqTOBeoYMEA8HhhbziwHES4vRE7qPKtyvcCVRuL5gZGOYL5mBweJmNcQLM9LIBd5gqhuJaepXSN4gtn1F2lwDXP+iexhb1AKpeRz7mPqqq+4DYxY2/HEM31S9QgmmxzCFn/AFDUmYCDFPjcWvjiNfTekag0JtP9uWPCo1OChSVwTWAhMyzPDzIQxQuFcC4PiF8097THqsqoArhZkgocqw3iKVlyQKTs+o7xjq3l/UyhZyOyVhhDNxBgDRzLuNheiE0a6gJJhO47lo20cTdV3DCbl3wgzDFJXjGodRgntvufu2GlnXM5jnMUOIowVLrqHeyYF8MpLVUKCvobZ9wmrEwAxAKQVEfGLEzqrcWGQVmVRSDLxabLjWNGiBaAIzcIXUfDwmiKdvrgGLkMIgKmeTEMprMl3LGU4ErI/HgXzpURFGMzP64lEMb0SurCNmfyiUH4RyAnHZG2jKLVTb6lPvBQ/iHwg/YyntRy/tGWVht6mrXI+eIdRvUor6yLirCXtqWtwZriECOHTMCkmWVWVpXupvG5UXI3C6FK+JmwZO52GpluENPwqFZZhitQIwTjjnHNT8oGmz1MCT6qEXpqXWEaXglATiZ1YFzkiATLlHf+LLEWwsvBNeGL9SkhsPbD+4PcZmoXPDLywD1AWMbMQA7Vv3EG0i+mXiPXwETCopmxOZWgA6O5ZjAqqL4i+GQeGckyu7iVkspQDh3NNRx9epbQdhMLlE6QWtsumSA4gjG4OFDwdcMOiNIQyQ842LxNvDMtTHO4tRSzlmBgWVTxrPGbUYczZmosFHcjTlYNUQ8ZYJxQCksxDcVNS0XCHJURRb/jMtrDMrYvmFpAuO3b8w5D48xzdMxS8TnUB+o9MSX/AKSv/Z8RFn7cnUfzAMZXFrejjQQUcRUIMd6/EsjtCo1m7ldF8p6A88kvw6/H1K2SiqiNtNd+tQG6ofUa/wCpgob6zLbcYm4czOBKiilzaNXMky8LxKSlTZKUhA5uBi7Z9QT4cIuS88thNBmm1VNSZddViFBrafzFu4xXMYigp/3NfIg1AMkVVLuJHbs4v9ocvj+I8D2V0fEvuo5mRhlaJi6ZmxmjggY2MppBFJM6lu1Cuj3MrTx19zC9NwZfMcemIi8sQQL2TARX9oQpQPm/CY+IJESNg2hL4x5jpzGlmdPFwJSBDCkChLwsg34NeBqpZ6hGIUxNnSLPgvzNcEEcBNIhhGRjLERL1G/G8QxGrvxnOodGJwkz/wDtMsQGI+XuXGsywqPWepSLz7nUfMuWptMMRkvQPuepJ+04wRcHpcHc4q+puq3f6jVOSvxLXBhgHDjJA+TxPnTX3iL86CKOse4gK4Qw46O4738vnmI3b/MvVYcekiDWpilywIe4FMCaTmLxI+SBXkN4k1GCeGKJmLVw1ybl5i2gHNTHTUU18CoUhIrd3E01A37lJHmz/aC0XWllCqFacwoNhjrmXcQNVCwmetj7lA3RBgz3Gaf3t+Y6wGrmkjCwvbCZc/zOIDuAUy5fxMSSSn2Q2DLitTkQDaUZl1wpjquJb1ruCedcRdEqai2E3LEwyiAw4IONFWluJLMbuWJMaMVN0JCEK2YStRSJucwzH+dNbmrUTmfDDBECpRjlghwh3LoFY3UElhsLwEEKqi2VcR6pcS7dy2qJeEwbMLcwYuIxi7Zot/mIsDBC2Kj2/ul6zti5Mlzc2r/EM2zHb/0zHrWVUKdQ/maRyXAxR8S+NP8A5F0S8iY+W/7TPVYvxPXkqAawQA7v4e4EOm+UAbsgso3QcgkvFzOOpVvwGiO4eC1RihCDCjOSeqVM+GUiV9bi4dR9dMFDQNeHAOH7kPMoYLMQ+9g2fEYwvTUpEU013MERRzy9Y5mTCzSbMuqqoXleoICtn+xHHD5ZphsgXIlZgKl6gmrTIlMRwXRyyp0q5Qn1MUdNP2lRIpYcjqMgUh+yGAaNHZARimJQXdPsnqmjMGCS7wqJDIuBDQStO+pRRChUFuNaiNCazLLGpYhiWgYmqI1ye5ZL2dp6/Uz9LLlvwOUpIpJisLLxFeY5YmBLmVIhEgCUqIhHUaOfCEyQrqOzKXCjxDHe/wAzGstr8RtGMZIXx3FGENxxafcfdQVAUxT8zPuer1xzvC4/36mJI1YudfcBXGCRP+s1WmMJWlCWodtx9jZH4hSg3AIF2jXJnj3UA4djqP0sYnt/FxwsqAp/TQeZSC4McfBvBlmbxhU/kOG4cnDM77mXwein7wBnJk7EmXNYnz/6gukDtPH/ADG01lG8e2YJtxbClrNqVZEw1F3ASl08eyFCmk1NWjeTX0gjizVsgtDqBnEDzTUaO4WpLhA4gH0T6WShxK+RPaHA7qfdZ/wgDoLmZRq5QTUrBNiLmXjdxpqckytS0Rm0phZPFQ2xrm8VMMILIeTLvy6zzmXg/Bc5/wAQMrVadqZVsuFt59TTxZZe1C6ykstuG9wKzGFnHBqFY4dbjil/HQjkCsbioK3PdIsLBcgtl4lGgzHaW9uZmPiE/uiMvCArLUZeTuHbb+I1bC7YYC4r9oLL2X+YY8WV7slCOquJdOVUUuW4cuXXLb+YMzdjBAPpjcqjVppic0ekCX/vuHCfPcyAzFe1Du41oleZhH4jwWJxAiVKSnipmJ4mlZdQmN8iCkjzGlZ75jwwAdUWZb+qXydRIabGcxJ1eO0Gscwdx780Op0Zvg+YWDSwEZZX93A59OdRpXDkG2JRAFL1AWiiBcSkMGEYAPzKP4SwhK4StWmu5ShYBO7GxN4Ai6ItCWN5lRtkZ3tZiZR4s2KFqM7x4ZpLLVbOJhCDDsVi/iL7pFbFfHqK1JnZFhI14CIqgrRGOZaQtGncrlBIzxPMhccxYCAswR8Kh1OWkuWBh2ikQiSoY3h6fgg3r9zbQfjiX1TflrEV/ILJuvyx3r3Yl6hBETdr+pgRvcZXyohOgD8somkt8XxKZZPTiIauv5gQFd1TCkKVME2Tfr9dx5DjdRM5V2ZgLuGFmJg2o1guMmMol5eJbEhUqD9FkWEuUlOnIoZS4DLFa79TkYPEPhLZ8MXebT7TEmqu2K6mrh29uOULCDY7e3uUustDi9pCt7H6MEGplwU0e4rkEizMI1mcc4VHzKHDdxaZjzx0+piktiiq/EuNmRlHxZBDoZRKeow9krLDlUUqVswqu7iVvdSmLcaWyii1oLhyiFoEDfxFKIVkuATsrh6mDXiOEthBgg1cQl7CWtTeOG8Eu3GGOEyIcxS6iSxGYHuOaYdYV0QIO2WqaCFQfEFD5MtsKeps1r0SzOVruJbr7ImyLEqMJh4zO5PmOxleSbK9Cc8aqKVtiNg13isE6eUxdEIv24D2zE3LFHRAz+wYnCjTDpnB37jzGGp2qnrDLou89R26gbIPEw7nuvklQs8NVgIfAyTSEMwqJLj4yTwHg9kqKh3KcGb1MkMc8AjsW2hLRHmUWSigHT4hFOFcCmz7iPXER2GUCR1f4rf3LuIdlRgosmS+J2yx/o+ocWHyFtH5mczTHr1HtENb/hBpIHKHwCxBhqOMflh6Vly/X5l2xj1E6maoth+IkWT95YqRQXlpHgxcGbERIjpzwbHKaxAL5gCgJyqAz5jUI7mxOfiNHFgf6xKJUDw8m/8AEaqXsR/mHCogJAXMuYzDXhkzCB48vB8bid0vEZUzJCRVnGNdw1aQzNx7i1wEqfyS+iPc6JY2+kcryA2gUf6H+5Zfk7mLIvYqNG7/ABUZdXuAP4QIWbf5jpGLA7lDp/6TRnIv16ncrHxLFUxpFEN+5p/tK4ztnf6v04YinFtRHuBzNgziXlkVxFCtxGLfcejKXNQi3yvhq/pK+TPMClIRyTBUjra/mY1Vt3RRmWnNj/hGsOG7to/McBQbe4ZLCW1O109xygpKPuCp6xP9WwEFD8B3DdyEg9ghwL4n8CSknsQNTHNbPcNmcsXn38xseVpjCbeNBFbLHwMQxP4lQGRGVMfUS9rwV3HUp4xmI1fTMs4lsoXGIrENV4FrgZnMKlKsstEincjPplFfgRdpmK8Mu/I3ndnMRRJeso4CAgVKW6X8Mxh4LeIRUpdHCNcZCeGEJBIgZwlecJIRHTGVWvGowsowMIWUuWDSVjMNvqYx1DFMXllfNsRS2jUvL+fqZYy9WZuX9yrf9b/eOP5EZdcR3m+LlurqwcEDBozXU7nWx1MjsUMABU2itU7P5gkqqGgPD+yWV0zgRNjL4K9QhdKI8Gk+j+8r2FkvMw0rGIlDa/U0siXO0ezZLSb6eGNC34i1VMKDEu+CQR8RCeBL4z+ikm8h1D8y1T5J/mRRYHQ1/wBQr+Nypq7HR8y+CrTZv0oj+tOUAhb/AKDsjj3Qkbb8xs4iq1OnTwQV/kkq9otXnJ+YUrGR+/8AuVE/XxC3WfcS1AceNMYPHSAICOoTKvcoXczA7lDWNyvLJ60y/mGE1TAeyPn8Toy4jgcso4ItMJJp6iip3BTGdSDuVoKyXDTVRhUgpXWt36hlAvrx2fnwsZmzOMowgXMNBCEWZ2KTCMXLhMMxLlEXJA2SHMmKXOJvEmvEV6pKdsClMVmdWuf8SmIM2vk4lxhP7I5g10WjXujXM1OfyxktQOpezNQs81/ETWrgIvniClXiyqvdDeqX3v0ywvhr6ztSfLcN9UDbr1pwmr5QaAOA0HUtWGIwtS9luDQfhqUKM99/Mxj8QhwJ3BUF/MNrH9QG8oxWx/QR8sIfE9n6Y/DNwR11eyDuWt+JXC5RGy+eXO4i5rCo9yr9r4Y0Yiq+fKOpcp0wZ+BcQxxUzjNbl8C7Llh7YMPM2nLC1kx3F7GXo5gmDLFiZ7u9dSjRCcxeERQ3KxmFBjA24ERvEWNygLUBbKtO1GrhQoZ28ROrgLdrp+IFQbh2/wAj3Gu3zTmYuD5jxnPCv3mMKpl8LYiJeUTPBiYxksYB5JYbhpLkSImolTNUSmVYJTnuGcL2ynkSzhh2gzzEXbK9hbucSIfvMXlxHCIGT/KKSK5QZ7AGVczBNH7vzME/cUZvf8RA6TEZV0Xj6mKrFpXXUqXneZTw/wAIUkOzWBw/MQGMQtdAl4c14gFLcBcjJF5v6n2RplnZLh+szIgSXzNxjVsvJ7J61+5Ov9tRwvMBpH4Y4o4ZZmMcoj4LGeJIZFQEw+CYLJEGzX8RwXbUGF5UYLMkNPqvqdx1/qW8NkOfkSjehEXpLQpYCWgy5lhH9S2YF/2oPGY4CZ2Gv2gBBvwhoiWRVkmWI+NHXgPrkFCGCXqRmaBiUcL46mBcMXZ6uvmJ+Etgt4K6gL0SLoxh/CT14uoSIb+AXFjLUxoMFDOa+Dm5VCQJlKg+Q5YPFk48LegMy1OIC7YosuUDTmWLOI1KcuJi9u4Ct28R3CMWFymqLctQOAVte47oxwNrP7jyRhmfvH5nLsy1p8zFiMDyy7Jrgljdg4nwBuFScVDe6CErQH1UcJUWLOXHuozB+ntj6llgWRNNe5dWG4+CQVoajVTua2PMZsbO4ojYHHZGYH1AYQGYTRF9xijTyrnx1iePJ4EZliWpahVqVlErwxRuo1laRl0oJcjHHzjeeGfzG9HB+ZzBhRLniW8FcRWUxeoaYGKq/vx1hKngtUyag6dyWw7zJc5/aUKcdSkzNZkseol75rwyi9sd2LKbgrVzURyZtVo7+mYVatdOF9xYQBXCviXkezcogWRUcUmUz4OXI4yUw4uIaRQIyIc+PbNkMuUTXzB5UvoQkwblGmG7jbJtriZFGE74dyyfUVGaeIBwWiacPtirbX1AWCeyiE3k/wCmIlrc/wC6mmL/AGQrbz8kR/Vdf9yhmDU2306huHE30f5zsBEdhtnO4IHk3/0lVS0DyNtBK3ptaGyoF5usfVv4lJylPWnEGtWTLjJ/mpSF8Eu6FiG4yJLmTZ0ypDPx+nSb+IFQQ8gkzTFOpGkDK/meVR4Si7jHmMencAl0qZltkzEvjC5himWIdx2MQYLK3T2q4ose4nsRu4oKEC5RalDqZosIPvN4zxbYlSrvVYHacXqbzSIIT/MzdgW3SPXc4ULqXb92XChFXn5h3UZaq2KFg3CbqU1jQYxN6Vg2lhSRWUqUplwQlwqeZtJBIeNLbijmHLesTrKWdoPmEPdcyzMoxtEUvUQQm1pGA8EzDjU0jEZ3fbqaeFAIuj8zjlXy7YwbpggCjPJ9y5Fl3E4x9wuikbeP+0R0d73F2drcAPPTfqBhfYfzEvrptlQugDfJDgHZou/aw2wUyPb3g7jAnJgtb269RvQcThYlsH7IsZwjvj3K9KCMXqdO+ISBuCX+Ipsne/QjaFZp41SljIRmAhDwIzvQ5oQUYIEwpk8vuUqeiJ3DPcbYwMLnLC71G6P+IE5LBIXKOjMZSYjkxNkZ/EIRaAQN+5bbn5ie/FggBcujqMvOfLEG4uSZEyLhYzBSqm8A5plJK+AbZbi1MctguGhNVH8s+Nw5oswbQ4YNesxgQyTSLAgBs3Bojm2Zkas2YRMBcJEHhyXGjcwil/LLFjvDYyZUOcWxrtM1Y7cEpl2r+YQnwYS/ywheBHcSHqKHWBK6M/cGs+ClX9hlhpY2/JLCjB3Aej5WbE+CdIGhKbVto/zAb6j0TRcGv6j63kzP9p1FQOdyka1qaNV3+0RYutxgxp0YFd/EyEhd3wjRNQuxkNkiibEaGDYgO57Ze7haZRZZimIx/CiE8JfMGc2Irr8TjRM7JVGNo9y8pgXWjes4mTqY82SUzAoviMlTFyhiBBG7jan4ZumBvvmUDGP8+AiMoW4Dk5gdmIHRD8LTNZhkE4vBlJKCUyxKez+6MPjM79V/AheVD0NwvBhXQ+JzRvJqNJmpaYnIgigjG0uqxw+BxRyOcrFKax4sam8EjPg5gQ0O4OrLEigW3LovZbG6nL/ogGOMPuV6F7A5jdA1iJyxh3dQs2vpU4ieLbP4geUx8eyU2V9OZdooxi1zAMcbSpGd0S44tzOuIFKNZLzyhSrMVGjqRtTLe0s6gFsD8kcBhpmmad8xpNHjqZzl/MMbiiKp65jRA7lbZOIg61LfCMR5e5dEi43gIr8ArUOqVcS8oQJfhG4y5QWXYs+AZhrpgWcQHE6iIJhG9JAVUYkX8s5kQG0GSM6Ad+vcd24ZwmLIiRPE5nbKkIm25ZKt8+ZzpofMS2YOY60Zu5+kVCq2+TrqtQLBoWPZDoQTCyywysl40bcy4yS5qE4CseZlIVqBybgepnGmEqmAbS2KIc/A98IlRLC3UWuGbl7A8JMQtubZojTQQtMQAa/pLFPMtZKaIqq5RLH7QzQ+nJLTJb61Kr2XtiBw/mIHgcEZAXy9Sha9Il50EWLWCW6Qtsv4QR/BG62Ar7lvu2H2EERi9paynJ7JULzqZSs5R3OVhmUiIPFx9S2o8TnUyU2f7QPKyVPfwx1kvpgS1mP1FQVyriYp8IYeANQEqMCHUzeWSASKErHylESPgl4WxBSUN3xCDBgjQ3O5E7OZwDNlBrcswCwJTPhHAKhCOWqhL/EbplqGPiOBL5evGDeWK4IbFRForPbgxHIyS1HofAhZJSp4hZMZ1PYiaskOLhSGrHbKSBKJ9TMzSwBRipTOQJoi8mmgjsQWfUZ+SY32Zb2I3RnFwbrbC+4rJSxRruPJwQwzE2nonGfJHxk+5hhPWCVVJZ/yWzCOydsEqPl5lKi1ZkkfEeeN/tDY7SgBxRG5+KH4ZYXjcBoaslvdbhI2uBzd05+p1Ob+f+5Z/pSAkKFyTKSqG41nS7PcTXzBEu3BKi9jc7qzqNsRPUp1AdQevF8wETwqgQ/HrE5BKyFCS0OY28NIeEkJQmAhsoSLyiKImj1dJQ06YYQDwIYtUKF5fAGfA3iSrCOpF3F6iw9yvbPE7URHTwtN8D62xspoteVggrKn1DYgisNQDPEA5oTa0nEUI1hlz4Nae5kiJDs4xe5wQGalHZCVUQYPiMsp4i5SlvUpZXm5m84J6UROhlqU9NzfmZUtRcb6Q0nqcKOLvlTQ/nMs03PB4jmI/UU0b3WZYu/3IAFMZi5JQaOL+JbQ5L/FyjEmH9QNNBT5dsqqsdpmI9y0W34l/wA5gCHTz8QfeUj+3YnY2exi+sJCXkwTMGiW03Z0xvAciUNUZUxjJ3PR9eAZbPTHHXhaeNefVKpLPhK4JCDwrOYMo+4wyGISD4meMfmEkwL3AUdS2HHOrrcBp6mkcI+P9xgvUfxL+poHiOvkpwVL2CmkR0ljrykdU5S92nOLmBpOBt+EeTwoOW9r2xan1BxmJlmDMxDzHjlnKJXySw55DHlqzljomd+YpkzCOPOFKXwfEROTHMlOUW14riISUYYNeA3K4iGICfTxxcfmI3xmXgpW2VqT1g38yiYAdSuKOSwaLnrPvL/ibD8lN/vEuFz+8UekH8Eqtgs+uCL+wnwh98VmBRXNGMExKLbjl1Uavf1GlKHbyz3B1AuzlYZhyxL/AHNh7/lGHHkqY48ZHqWdcZjcoVE5J3Cmx0nr4l1uISEpxDdbWIPEr8QCHXiUxSP6FRqY8RRgOIKVIyEBTe3zP0ZXAgYinMXMC70K6NjhvG5TUXtf4iLjcyQY28D4Q7F0WVuoOVRJxLyDsQhUNi6SyUOpk1KXUKvCRUYIsIGiUjGWuoFtN/ljdwAnocFWvUtO6A6fMol2tMx72ymDMfpifeBNctErBAYGwgM3F8xK3L2arLQzEAPUxcKxUwqtFBKZbAVDMU9wiPgKqG8mpLkLgYwEHL+zDGw+o2EI1omKU8I1BWtxW1VxqIDQdDcOaDuKYuX5+5wEHd66ojN24OgjSv6I2TdiLsEyW8B1BQDhtqvxOR/0jDLr/ljPhP7CNT8LBKqsjKcF/MvpnGPiWnpmsD/MRwPbuPiE9RFXCUhMgfBiIIeK5YEQwL8MrMSXCCWPACAngvxHxlHKYYblsvCIZtM9FTbn27RAILFK5uWSkGoDgxgFrUXbKRTMwU66i21s+NTEYlGZCmmZ6JTrw4+JQSDxO0YnF+PiVjUM0XETqDw6m3NnsXljmgYAAo6ntbMzAK1XuEsb8JYORKwsZzYjqJSoTU2cymWFmLYA6hsgWVHAY8+ZSmTvhINiiYAvctbUwRuzaS1HU2IqKw5tlLGFEXDhbuaKP7Eya3pFXH1B7iDF5eZSYb7YlRttc9WmMPDC1HH+krTD1/Ee6AOoB1LXE98QOsBiYrYYOKDU9eFeXFQqB4lGN8EcLy5mx3lLMdMfMrfK/qWrdx/ZMOfvZ+INmPsmFCoxNSme/wAlQ3KrCKeNe+N/pIzJLo4wfEcSyGEystTucFmbVCFDB3gPeJrG2SUGaJIxVG/iQJmZNQNy4MuVAGeZ0oAAuCMTc5lFQocSQ8eKM8RBaHa17PBzHZP5eNODR7mVCgFdiPyljiWxUJVyzYoXNs3CQhVBuoNSriiswaghMYqo1MzoxYTYXHcKpug3CXqAnPRHcAAVmr/mcysuYCGIqtiz+pgCYS7Zi1DBwvxM4HUxpBxvMFJntgB7TITDMs4Lr1Cgr2YjHyrMBtAe5i7/ABLGX8T2MsgUZfqBnqKh2wKzDQ/YZjXicUEVeo0yzF6BMRIJ1po+k1FZdMumcNv7giwEZlYUhCUoN4JZRNeKozeBqjovhPFUSHjixni8wox2juZj7BwQANr/ABMoup0UhzyBYNyyUNRTSLrE5gP1iIZO9Rp4mfGuuScHnjuHYpuNxMMSVyiF4vhW5dQMpQHeV95GLiV2fuDi3U0gu1B7RzjuUFyVb237l/3DsjIxbCwH7zbVw+INsLEdS4ZyyliNsjZNr4YImzQSc/Eow1IChK6w1xCWNVOXyyKs1Ms2WCLQl3a5ZUaLhgQDMcUdws8qRn3DpWgmRmKu6wuPDKxrbnEBwqZ/ScELVpywy7ngnt/MoxLdv8TBtLXghZolgeFbmUVkwLZysR0MpNcHkxKD/alY6UocTgUnwSx2IJ7ICN1BYL9ypOZVinQz2OPgRTKxYs8S0AfGySsxbi3uMzLFGXEwS7YyKhbiZz2NupYBfRiOmTlriFt6qXqGpsh77Zf6EzKHZRgVuK3TJrx9ZiMNtsDyizTa5SjxYUQ8y5hi+FXLT43HctJQo6YQHvmH+2Sr3Fp0CBIpz6Y1SKboDmU+atzik6+oCWTP8wLvpMuwFnwBUmlKuCKzBfCoRkJZUwkmcKhwGSHuUWhlzp8Z3OJi6JY3csqjmDUp+6ckTTCMSVDW9M+6Um6r71KjmGQN7qFZiqhGAnUsgfW2OuWhlZf+o0j/ACGMWm2LZj+kX1Mkoa9TaYkZES13uJSF2o4q4aVfxK8+04ZjfU4dH9ncqX0r9EoPTh5X+JmxKIbOajle4+GhLiAxtE2sjJPAsY5kAS0vXjNmYpb8awRcQosYuPsYibX5Y+8u3LNgvE01fuu45M/a1KJl9OIZ7HGzqPAw6xFeNvRVisqGY9hzHsdy6jMUYozAtkFTBgnMGFfCmaSI8enLEXFocXaYhQqRstfLASkHJ3slUnEAqGTEaPitMTZCyfaly6xOQyxo1TPkO/gDxARXUCMsFEWtzCHUtkyj8CxD2mSNrxBZwWVN8cKlUfBGebdRK/jhFDibYD1LgtzEboIin8Qi2d5TlcOsODtgO36hI2PU0N+BuJU4gp1Yi8VEa5iaRLWum58RcebDmvDY6kc8My5gP3jtqGdMqAzOBGfl4Zwg3AcEaEymXMKokNTM8GEMxGLuA8S0wgpbAGP4wum4ZLWZpVTZKkezfcNsr/Uy1wm6GAv9409GJxRbgikBFjCfCLYvkwgzBKJljaN42mec50AFc2e7hBz5KvqBlKm1EsBlMTQ4HMqWWCsIYcEYTK4xjSRfgN8I7xANDoZ1FtGzPN7mjxcJSiXiO2czLIFDuEu3EouoGAMRjNGPNRxcGEWsCRGAHhQ2hy1zFshUI4ZsfVKBDnQjogsl72hvJm0F6jueeIJO95iIKMsMXiG0tcx8piW1LR8R4YaO+CuoA9w/xz9igyQeXhl2GtRwx57lprxBcqY+BnyD4VhAeIKIIINnqgCHcQQI6fAqjBmNI4GPoTq5l24K9wOFfMznFsl8dmoRwhfCBJYynxKD4HrwWy3y2CELmNB8XKPSWxYMYvHmipqvioBdlY+pYXisRW4uJzkGLVp7QcepeaqZPnmb4dR8UfcrTMBOOLVTPU1gYaBVGXY5ITCcbkus8zCsgq+IlbQsLayhmlYiz1HmYImGD1coXSA9viO3UGulai7je4t1zUyHA45MsKvR0QvkyzBUVOPuYkePuDBZm8G/hDk/EFTzRyxKDu5+Zd2u5yzuUU9S+LSKlOIszKlRIJXkMGCaeAtLiVkRUyTN4SIQFQcxLmKNkojFGviciG8Q9RmYGFZKgqkmdK6ZhuziBMQSbwKShl+PXmjfjdJa4YcBULmecXdq4HEatyu2KsShRoIVDgnHXZMg2WmVg4YNDXPxE11VXLahRDkEwhod5i2IISispbz8NiCZvJQJnwRvNxmi4rOxGzI7+SKIZzUUUWK1ogEywxuZI4pQsbkcIFiPmqlaGf5gHSpSsj8tSlwB8EIFXmWCzBEth8StfRLzuUS7MZsPmDEsZSYMC9QUxSv2TOb2fwy2w4/lLcS8eBP2TlRouUrxcuV5nUHMMvAgShESkTHPEMoXUAmKjlniVRIcXAFUujKxOEgCsrmTMoHEpYiw0/nMd538ED4XTORsmAYsyM5BC/hVKUPHs8B5fUlRAqC9CB3SVM8PxD40Zr3NYkXM16gMMaUz3k/M1ksnq4meb5gI0blnYRue+O4mRlKGsQU0sWspk8Ny2N2PAMTC5iM1gFriYMSxVLm33ErMTBRm0dQi8XMTioAzKzYhtlMwgVYKCvwZhuDJLbB+8NafLctu8cysyhi9ZZ91GFLTNeGhNFlauCxy/iKXvaMRSUpdXqCQ8S23gvAonOGN+KZ8V4XlQ8uyKO/FStln6ZXkwyYijAwqYnFp+J2ZQv5gB1MlsZnrsbgBa+4P2NC+/qe98wypiQCaon1BMtI/3TBws9QHMouocRU2mUUSZ5WGJh4P8pgEANWWZkUkZqA+ILVY7m2YwFl6nBbUwS90kP0Z2mYfwEqzmoJGqoiBmaHiPpEHwjEaskurOJiZYL6gtpSQ6qxPYRnVNNm5uS0wThxEJIOUw6hS2pKXueI6EiUfCgCco5USmbdQnkwjF7qa6zMG4Ns/Eog0EFaVD1BHNmiYSq8Tglz0TE6CYsGRjGgy/wDaL+QmLSzM2gQTr6nJRLZl8RhUxMeCo68NvAHkVx1UPOiXClfi9kVH+oIaX8eAMx2C9Xz4sB7ymbL8TNA5DiN4U9SngTjs4YgsqsB75i6zXcpQRA7B8/qW6h9GeEHw8ThuiBW6JlLiLliVuZlCIeBTMoW8FA/UtrbZnzBACKNDzOmXZMubHDcPSdlX4hqSDNkYoXgWIQ4WIi08VUt8R6kYJlpUgqBWWUw8qnFQERN8sgRsMEZqDMzUMFcUqWD90tAa3CKuZdWYowjJg9IwAYhVZfmM447gL0T/AGrK3p+Jy1gT09y4oxcqIbgIWyYyrtAzmNiaxt3A4HqdKNoqeLlKVhZgt8Mua1Kz511ovMs91ixS2LuD8hMvwVK8wxAvMqSh5oiCIEsfMLSZRtBh4gcjG8Cs9yghqx6hbY06o7tnM1H9E3O9dfcRtb7U8vTBuAQYJZ+4QqWWrhKynnljcruU6IraJqZRwgshJEXLpdL5gyoX5McZe4CuKpimSriHeCOVJndKSx/OHTuGISCQV+X/ALnvS3uPG+pSwww4lsiXvSyZlqMIUnKlPcyV4l1QaO3McMEv/kijmXIfwymiHN+CCGt1Mh/eUvzS/Go3SC0nKcmLYDKnH3NyY+dy5mL1AB69xaNEwFbYJafiBp8x3IzfK6mFO4YalvZuDg22I5Q7Fyz3lTNUSkn3Gp61LeA8xa/NI4DwEpDPwVBy0MIxfGkU8U8RiBh9xIhCsF3PdHYi58RlBC4lrbg68QuZmndNQAh+7cpttGnybmu4EC25SK13NwtHtXr6l2tTdNFsoNts6+IgirRjIDFSLzEQKTKEBOYm6XQgzlGJlEuIrgxO0r+GO04M+o0taSwcy4EUjf8A9owOmphavPB6e3uAFdsx3TE/dVqXXH081G2CYllzEA4rMcuMqYQWOY3WLm4kel1KwvFytLjuASG0JlsOtYmXVcOkMWzNWxDNQU3jGHMbR6iJtigCKLmIQbOYdqwxapmgSwspRosqH6gMj8Sw+yYFtfkiK0N9oLcfMxZPMylGkUXGmDynbr5gCrPUuRkcMNxx06f8SjOngRZXiVyS7nfjEF33ncjbuM8VzEQlQMpJkeAkxhBc8OphFK454kWNiYI1cpG8og1IcC11GLcEvg8304Ym0pDdJaogSqvV/tBTLyuiVr6ipqTTh9zXiAB338OyXFr8+EjgNZgbXGpRAOzljVlgxCJTUAS5NBmYn6DVry3yN7uCzlSkKV33H36pdzkb3KOby2kfyjO9TSn8zpBX++yPde9GZDz0QG9SNYbruBBWxeZZgRc+9z1qzCvcV6GH0sKjUXiXW6l6eKyqAJDAyEPSbES1eIGSJniEbQ8GcrPcOvOmcia5DGhLi6jMJU+kSvlGIS3pKAoeiN3Moo7jS0Zd6eIhrWIjmU4EGP0/eIaGE9rEr6BUYrs/eC75iFOd+4JeRGe9ZqCQ+4CYfqbElabhwxtSVcS51CLm8Hg7GY4th59YgizwAYHiZzzIl4mXjOA8Nxgm0cLmUsyYDwVrc1uoMXFmTXwun3M7/B1F4tVqBgEkfG7IhpnUxopgAHwVa3AKMNQ2piM3jVEOOSIRhhqV5gVqNOoxGkgRtA1MprRIqHbPTuF9nCO8cqYlJ1lxBpBxhL/vTLNrWXHxMav7O/TK+y4rcL5DVP2gBTNjs9xUVyhiyrMf88PmQai3FWighwXDlscpeHsuIVM8wCrlG9RrI+IEVqUBvPhUwKAFpnVtyzlf8p+58yqG0bjjc40LDeOIIXMuUhpcxx7mNAJzlLTiC/EDglnCYgFqfLPixhCj8z6hlDXdzSdQ5dmGAP7phVcwVP8A0n8PSwEEYCURYjE7gcFMMCBkaeFZmZl0tKIwtC5lqJqWKlrLWCQEmVK4czB4TXMWYPgaxUtW9sZMwSUUGD6WeYBmZgGtX+4B9JW3wbqpkShrmDiYRy9zXpWGOQhXMyEBgYoW+JQgzAYqoAiUiTLxiwtEqPE2ShpkxGFhweExN22TCMWVBDGJjXVv9zJFVZ4+fZC+DK/uemNTpv5iq/cS+6VhgKZk2UxfUG1LI8iakEtbOZ0kOLxLXEHQbldEUiUistcsaxXBuWJZdw6iSig4lSzhzFcVOZ3GRwEd2cw4tBo4ZJgRj1TiOyjrLMtHMxhFcB8yu98f5mdBS/YmRuPeaM0Y6A4l7wkMifAsKvyQwOhKE7/3MbPmIr+yIQ3OYLl+0CDTJG6eSG0uOUFHwLks+KeFD4jK+BjNAGZaKOZZTBmcujBKphJEIJLPGLh8W1RhzZ7lyGbhlfiI0IKWQU37JtR9rh1TlfuGbZSvRw/JKFTJYZLhMPzMeWVgSMXaVV3uA7jobMEdTDGsBC85F3Nsn+SJrB3HQTRcaWKY4aN9R7hv3KaLU+5jWkOR/wBOISMNQfuzKyYb4ZjXh7ueJTr0tR1bYMB1LzcE+pYEnCp+mK2qwcxXKjNbqC1uY5u4AxL2RC5Hk+35M3mbuJx2I4triELgCXQK7RdCFigbtF6Ii1x/NNo3SVTLTxUrZMbcI77iPhLZlaRjEelO+5t3JmEJ2ZlbiBb1iJHs1GhB+fJCw9xehmlczIzhhmqI5bmG0t4mh1ATYXF8Jpm/GiHgMMHwzfFxjXqVMsJePE3SuVi6GGUMOFTDTxUiytpGmh3D3p8TVoZCT/wQdPImnUVBRoNv2cT2JFLt6jhuGabT/XEQw9sIQ54g3EGTFxNmowuGkPPBygSVJklrcqIb1djxSbIAA5S9RXLCrmOzv1UyAGdyvW3shod0JwqD89wqKC6bGHEfNFvBGNf6YhGbkytZs4deJOFMJ797mU/LGL7l/KJ66llElFLiqqbKGB+YNH5wrljMWvSMQII3ylIIYFR9SHiwlkJ9kK/uBQQM4jLfHigBUwwWPxLm7iAvMAYKIZ8PF4ilF5ygJrqKiIll234RH5Jnv6grcxPIzqTCVrUtvJ9nhdK4MS0DNE4uYWVygLUITaFEMylwhqo1cuDHaYjFMcmoVZZRAr9AW6i84gvKagPk2KUwyCO4w2SrCrc9IpXPDT7S2245wJYwA4A37e4QkTWVH7R6+RkZUzfdGuZ946YgBWzPzLdMBtFHcYwEIipAcwqcxWFCdyKS1tcq/ZNjxYE0w8oqDZoqclHqBSe2UXqUNctfmLvXusjtj9pkWyz0+5g2D/MxKCYlXd4hrlcrOpvtTLg8nJjm4QGYCV5ZmlyxQzTELQxGM0Q68iz0P7JbXkGIju2fj1H3y/lKA5qEIdqYD0iN4I8fuZJ7h4bmDGWE4uMYY7Ewg8JU5QYxRNe6+csRVb1OWDmpThXEYvG4+Q1scISA5nRmXDd8xGC1MRalVBFmYAhy1GwSWhRqKaUyzz5d4jwLw8IWaxGDiMj3mkZFdS0zEhcC5ohsAcpcPgTMZUShLwWJlnF/SGdtkj+64FejZS+yVFQb/wBXBLyeyPqE8KeS6l+FiWnmsXmPkVpn1ANVc0Fal8nvmDcPvxV2SiUcxE3EZqkoMQrFcF4G+9wBxwLir9j1C3i3kEtcx2o2MPTiJZWEF9DCruC0Nky1495meDMHrBu19y+lEnMql5lJUNG2AEjTeiqIKYc/BL56zKUtRRBqZRhAg7SILxU0ztl5nBtlm7Tshm+zDYMQH2XMxLvWS8lGsZAYkotK5yMMqP2nS+4X+SWJr1LqrcHwRIDKIjBe+5VfrqVe0hyg5TOaEJQlRUYDxEimZyXXkd8wqhhMb+5mAnawMKFQwm4j8JIo8HODRLtgYEyLKV5THAFEJFgSFsslUUTca+MFngFEEmy+vGuJSicIg2ZgXsp9Lm1RMR0LDrFmKuWtFd3v7gAIFwlS6JABa8I/T14PFF7mHLKIqS1uLK4piVpKR4sLFkHMHm4FP3QBmzdXmu5Z24mz6ZjiwtI0B3LL8RHyRrCD/WTSpsOBeGC8Da73j7jLVUfIRBSmX5iaGMk5fpe39LgrAfmBUVOO0uhMRsoxbayDPczAysEG8ymDcbmRYEdxi2xKKnLbL+hUZuyVHQS3OUYcQyzmUNQvLUFSz5jiVJR/ZGGYyaS5t2ZJmxzajHdftH2pn59EyShEamjxFlnDwS4SaluLC52QWAYG0MA9wjJ6S+RzwMJTHELP1HM2O3LAMoPCCVgzGCHglXMSI8RLgNfE2F2y2C1lfI6DHhtDGO+0uRUqIfiox7SxxKEKwS0XJDTt+1fULLXxLdg3QeBGUSuNNQEYiMPLIIgTC+HFG0zEi4sy1BOfUS9pRjuByZzOiMMUY7HzDdKc9/6MzxZAG5U/8CYPs1NNpsUV/wA1KhFxL2VBksPFSgTcSmmnnmNEDoDE/A5dUdoR1TUGiQCKGtw2G5u8wXvj4gbwga/tgbH8Sipsg2zicuZQjjmIN4JkZxGWoqv7lo/Hia5+oLD7mPwgAdEEjY7sSKbYsNdxCO3+01vwDBcGEqgizP5mYodHMXi4b016mMFELsWuYM6YQXiV+TNCBQ4mQEXIin0iCrmHCVCZB9odcX/E4rKMM6lPUCmo1xp5N6UHwxPL2Myxs+oEC15jLhepWDyxMTmHgAgv5A6eao3n5h5uIeR2bAWLK1eY8VURMqO3SdGHKRYO6Z9y2sCwLMDuMUS1R1EZT5HLDHihGooZQbLleHSfqJSwCEFWhTSMzRY6zcO2gZ+GMU2uycNvcbgqOvnXMUUcGFi/z7mWC1S7V36Rvap/chpZqBzANe5QA/JB4pUWa+ZvbTnjcv0jB4B6IvLtaP8AMpXswovFtQFXdbJkysAYxiKpaZuGLOWW4xjM3ESp7KTVc14zQMj0S9XEyki3xnRqEpfqBL80lHGUbzqL5j4mNUfTSSlQEi7puuWD6V56jnVnFsqVhcf2sys+IpPWDZB7lakwUjZIJZGhzmYJmsSGY1pGtF+EAqAjw2QTfhHqPRHjDL1DfVwNBYzOV4iEKokMFSK+I85IUkXxFvtLybSzFyKdCVlqAzeHwiHCFzsxSt/KOGqZ5grDKKXHxJrlAHXgiPC6VNeIZqJOIaI6jsA+4+qjMVfUFfkMub8Of3lOFFK246QgwJdvLESrRt54f7nR44j5Svjeh27mSlg9a0JeEqge2XXvZNV0ucC7MfQKxn/B6g4SA/DEfTno49fMInWTl9mYZ8xuuP5hrrHZ6YtzNnxQHKymQ7FvczmNb0Ta4mWXEvmCZcC2IrMsBAAtVMTGKuImTmcPaEIJiPU9yuqMVg+Zm39QirVRMuPi5kkC2DUq/kI4uEt/EDwGGpmFFJ0DDBxBgzhGghoOXLMCXmeoQrtBQMtAqKwzEjIBu4vuC8zSAT2+D1MHdsG8PcxhcDTLIR4WltlnNkpDDiHaCwHiEgS5Hsm/Bbm4TAjvuKQqBWZjal1Z0xtAb2/Yitemy+9Q4TSWPgD9HkPWYIC9Q68IzEyuZBnXENhEZgBxFSq0YEzgsxExvYuGXKWvxLw3VD0yyDIEp/MpwnWPwpFba+UrWlVLC8t7MZBPtfbtKEbnHL+Zc+KhFsyI/iKe26j8P5jU9GDZ77+JSvm+/cC2QEskd/MnxcwrWqPlFRxzzXfPUQztC0owNOY+AQKKDKtko7tQZxHejW7SgQPe5UdkupfuLkhUEaGIk2EuEw11LvLPofHgOxZ+omqB+8LGi+4V1t16i5Xfv3MO8PhjCl1oBmlBcDCQLWIkf3PiaEuiJ2lCdzcrUur8kTambFpMpcHuVbQVRbYwtcwbFjc6sMpwBCUhtPBWR2TqZsz/ALQRqURmyws6sOYThmbZlxKhSg3FZN91H/XmCzAiwPcv5mmIExDVI3RfRFA32TKzKG5ejmkoEyQEqWDkjgQhp4sTLJgBgYw8mMOF4mD0Zee4cZrliSD1H5SpZMH0xqnpRRqo8MZc5O4Pa+DtKkMwqpcmPULoL+04Xg+DqDUbE0nuHhyzMvhhywdFYbwwyntLapxGtLaspxG0CqBdGIi6hvzN9Q4jh+t3b76i23tOYHGicszrJjn6laUG3wq1gU9SnvTu3nHh8lzHh8wG5CbpMBDZzPeCKqGCUO2eyfMRQUODmXFG3qI6eomcfUvKQTnUGUjLoS7yj/L4K2VeIYnuCVnPiBwilLteOSW2cyu2GIFu3gkkxYlaWM7UXuARXigWwMZxeIEtt/hOfpsn1ESdkzDnklaDv1P6CLILQviaEzc1UpT6jbENm6K4xy8IjaVdqOobWBPxTPFLajc1GF35jgE/YygMQVTQjRekEhuOnW/FibDRc0Ej7TDAh95REO/EIExRZ8SlbVQXBy2gxVKt7I5oGCTJEJpsj0PMbgPzAhHZf5R+Gt09xnIhfRHbS0J/NTDyu6G1zUa/wbLePiW9MaWWAEqE58+YIDIK47xBDZ25Cufia+4fUcFAc/c1ZzKrdH6YS/n/AEiCDfuMyq2rzDlPZDi0zHIF4nYFmDTcv6lFJsolSYEckAD1EPBes/Z5mVHDGlMMKJeswXaCV31HukLyp6KmZVV6QToZOX3Csu0RuYAqHhZhDHZUJN5dMcwBC4pZHKUdSwvggxqCIzL8NkT5eHubXUz5lCwsMeYwl+owjWKcTdktYm0PELSle6QckNfYRpXPJtMhQ/ifDk6eFO8jbu8/cPA2+JUQqkKqbLKbhLnK9VGtwY1O2JegvElbByyrsoxdzGJVCLWrLS51HVaA7T2RlITXgj35o6oEzKEpk0LjMMDtHGD0MZtLNEUsRzpMItBi9+ZkiremHopfXEEbZY+Xgl1dJrUrd1Mgs9qPFiAF4VwTTUyW3c6J8lQWGpdc1sZzKI/vP4lk3mdvkhqNQjUHzLD8NBt1LwtoMzDdLvaKxpJi8y726ZbDfcEltRD4pZcWk1G5QHMMowNMpgIpLqXiKbOeIK68S/8AEtubN+ESliCi/wBiKtfazBwHgnSu99oVD3mUg/cGQw2mEGxSckySkkAqZgoRSVJyQanDLiDK6TDKSrHEoquvEM1xP4y8k0HxIgFkCY4Qe5huUQxsbadScRCqHViE3MpcqWXtQ3f+KhakYbY4MGfDOIIDD1HBZFEU25hA37E5uKAjORzGI7R5nHTuLSKdsDB7jeEuYVz0ksFmo04lG6joIa583xbLimC3M0cRvFNhxjrdTTVApUSX+BMUMQGXOYRn4TML0liRHE5GYnO4ijQqRvutNSrZGigDQoB7Zi4sjTXrK35KYNAsqNBhY4P4zLYwYoPiepAbgR3CzNfEsbmic2ylRfHqW8KXJ8QczrD2blABW/yi6ixgbxzCh2/3PT6iIAGyXEocZn4DKMjTHqXsi2jCFcSpjklziVDCz9qPI7gaqKolrEcRarg1cOpkdPuUYpk3HN6/BH+0MsE4vic0UcEKajScrGDEFirFTNsRjRpjG4PjKzHjai3VH7GPEZhKIs+pd2Q5MNxhhfZLK/sYdF/mEBZ4HBCFWCHuWTKYVZkxF6H7ic8fnhM/93fcW8Wmh1Fps0kGA1osJle5kaowe405bYShgg8uoFUS5pVcf9R60ZYs9Q7KIiNiPc69yZliqGI+A4rMFQJE6tTPGcRlnCtiDogDKKxNOoCYF4m8c8A8XO1FlVTcY1hDOpnRcvKxOuDTDDl5nHgZFWaDuKKUNPuIK0XMsa0Tachx9O5mAgE+CXSi9MmX6lfqmbPU3ApXkr/1Gk5Shcbju28lx9awMby7lRl7OTfolB62F+hqDriXcHUWLtnaxeobFoI0tqliVpZnLf8Ac+gyMCOfBgUEGpTHioREgHcVRMQKnajGZlLvRBARpVBRBlXOg5hBCtwQzWHqfRxUuhTWzMF4ccSywE6eE0iblEIDvUEhfbBqlSxncw7mVIOMQDAlSygy4I5g2tiWo4lQwWmGBGeqLhRFaP6in+LD7H6uXfDpMz05eyuIzog22/wlLjJBTDLrXmIFwswhsT+73Da+I5Ct2Gsx2eX1Ushgq3GI1wazKTXBK7h8rJqonMtOWXpnVcGZZmjamqr7ibvluZEKne9oCSQPJF1KHbBCVLZSrcx8y2mAYGRUQ6JSciECsqPgUYJcy5o1FN6JDUiABjmhNCUOLY5iVSxFUaNVDaqshY4yMolORDHCiAoLFU/mUwX/AEXHpUXCmYnFFx3ej4JYhXJ1KZrvRfXDMyp7Asw0K8dvVkKwhi7azXRcPGsXfI4+Jeby5PygBkVs/wAsCi5ZVfqYLbsgiL1MIZ2mN9ImEoF42CIo0cQYETaFo8wrrbWJQGaDcyMFavmUWdRWojxTncRBYBChPcJWgEGuZ/6IZVOMG2I4sjHOf2iLe+mPZ+GNx5mTcEm0VoiJWowCiUTuGGZl4lR8GdoMzEoWXLOY51EPWG6hSt1D6PZExMw0yMKVa/dDWNoawojl1CVZMN4qCbx9wMn+YYtkLtZC1QVGFrPg7iNDHx1BtUbypnAltYliSMEF0u+YGQu9RzoS6zGXRu3CPT8wPbYMEbZS9+4QjZ75jNQZcTcdXCDHLMHUoisnLFBCV3nxLBKlMKFvlPCMEtUvNxis11lFTSPPSGd3BNwJmy4AuXhy6iis3iHfRCIdDGj5J3gvEu4dMxpUfZnZ8s/qVooFF/G5ap4XAWvwQSBZSUfVRdyMNsj8EJ2n+W3iEENAoqNfKIlfZALT2OvtOsajlhXpKvwxhx0O08PzH8MsC0BvUTm7lhsCVwv8uiMzfcXf0ysTpJUlXFwqoSxcI9VLLgTuq9xXv4m0s2T5mZkqYV0l0ttx3HCNZrMWP2mIJe+xETURyJ8Qg3gYBZjpDCidjDrErMdmCALcTaAgSiPEPeIhAdMBr07jRA4eYVXMKmcTqZ7ZPXOobkjYxaQZM8xKipdZmF8pSS3F6hQRIFpubhXO4+yBw/eP5lbu4swM1+ofNKPRXZBYwsFzzDf0jkl40ZuLZLJTFo6+oGzKx2oZG0whh6gbNeGqchxEm2kUd/TxMJExCpqIMpuNKkDwsoQJdaDBL+AiktaigXJTxOwXmGLFzMxqPNJcBzFMXjEHZXxh9NiFE5guxTCPUHZAtC5SoDVSzQLI05ILemUJi90OuFfcV9hDX8R9wr7VmvUDGyVPYsoay9PUNYAev/YQ3ooPXV/3EE2L2JtXDIrFbOnuFFxyMtX79zGDZTvPKnfLLDi1vlUMvrLAHfcdnDBWX/KDaVcorJ0nHgwHjqoSYLg/Y9QYnThNDOciQ4vxx2RLV0T+SK1hNjmKivd1cqLoabhzrglRhgpL9wkVJjXpAAcwFGQ/MBBcHbWXVSitixz7QQtF6JxJbxBmcwFY4cEIaXCDGoBjKIpfEMO65ZsZbRHbRIFBARVJK4LJqGDD9SmcPXMf2ly0tv2TIOXjDCtbmA+stK4dQLdEPfcDcUsUViJA4nMQg7hzuKnMMCogaH5gzDEBUDtqFuJ/L95WRviAGm0U9GmJFQqIhSf1EMtiFWuXuoYyvXH5hqx904iR4YRUlvODMsHiCIF1Ibe8alX6T45JUDWM9QrES2mwlpqaaF1bANkNq5zsrIiYfgy8bjofiATAhKlriQVvUQsxFKHWEbiJxhsjMaJoDNqty5RgMQwe5l1WYIqGY+o1MF1AzHDccwOE3EN1nqDlBifxA7a1hk+JYRiUay3awrN9Ph1Fi5iiVoxBdlQq6cf2RGwm3k9XuDANEZAuviUkbzr2n9S9RYQnI1MeSWCsdP7iDYwoVnYTshgArH9zLJnFNkK1hlFqTBAmQBeDURomw2uE0dbLX95IxFwkQxwc1LJcEJ/CXCr0TXqfm+ZgvcDD7lfV893G0lOcbJqUGfU4qgZzaLKlENM+pgOKFhEGrleBjbH11MgV/wBSxV0ysv1K7bEsWI8krs1jhN8Lhh1LFz3NP5jWUypnc4ciqkRSg2Ni2EWCGV8yknNxH5AO5W5dzbUqM10l9fvgmbHqL6TNp0ymgNNz+Sq3Mbg9y2XnXEGWkHVZ2AlB2mGglPtG3EDzfUOxOyUyrvFw2wOjuxsuz2ZTfeFz6ha5PxBP7bbX1eK+IDQTw9UcLBQLVrR/mZz3t4fRHVpl4Hr3N0azn7mKFyAi8XVYOY3N0alboRqYhuLDApzHggLVDcJfDBiY+cVI7jqO4kCypDd+HLlL7mDKg4gCLiIJ8Rw5y42c5lMv6qXrqAmBGnviYDUURdpN6w4j3bGSUIq1MJQSyhqq+pdKzMFG8f7QODXtw9xJdOCbOL+YMWwCxp7mBIOW+OSZsITg1xS9xI+S5DW5elBrlS4hKL1X6G8kEy60Cq4KJQ/IJrDtCWsDe+zqoHuOXsQYO8en3MhJiA0ai8KpOF1+YpHI9nuaBQji+mETZNm5N16vUoYFqjv1DxgMlfNS8KaH8B7idBkyGfXMyShaE/whZ2cVfcpo6d2upfM4q2C8Fe+pstc4uVlmd5ZTK/JK8GQOCMk3WElk1rGP3IwmR72YAhuoXXUUOygOV7likqefg6JR6VLKKtdoYds9ML8BOP4MdvYjfJF6/GKkyUiN6GUc9PI9Teha/LFIdEKkpyFmpPVZhS+gLjZMekCgtbUBPRAKH+GDAFd/zLdzzfapRVRa/i5fUXKkX7qDW2V0l3HCrkefnFVCoVgzHm4hYr6ExdH+UX3hq7+IcPBVj1bEzQmy9B9SpG3zCCy0Fhkn9z8+AHtcy4x06gYmu+4M6PRYjzdkoEwIdmNE1Ssu0uGFKQezEXcjUBzW2uPudWXh5LQOo1S7KoA8O53F1F5RzcUOUxxS2LZeVxbFqVmabuIvg3T3NOUmUSZtaqJ1bmBEJUYu5bOEV+ZgkMg6nLYkU0hoH+YcKDkmz8Sz1EZ7M65iZMgZG+/cdwTDmkTbfcdHik6DCWrgjeHXslwdlDWORZfzLHRX7LmoMuj5hi6ILNp9URVai4E9BMxeMQqin1lFmjiQ6eFlms1LNepaLg09+0iXc5wJ+UtUkq2V/wCdx7kQ52tVM7n2KpH8suciRL1GcdRqP+sEZbnBmgv5Rdw7NktBhx/aCGT3cbWyFxd/3NtVg8VHGEqAi+PwYMmU918zI0BTA19yoweMq+50nSynpZeOE7E5v+ZYoK5HiN4Wr3H5hSPbyxHf12v8S0hdZWZOHylpdG2YBzCCXiHktwJUyMwP2BTiKNtW3iHmSxMIfbCk20/ogvOCuRaivNAN7DMp3btUZ9x1AhFHruBtcJvry/MsxouAK7fwjcaSIxjpoWc8TK6bOxjole0E6Sg0hjA+X7YH1HBWoit8ii/oK3FVrVGs/IZ+I3uinKp2I26P7se2RpNE5m1I5uP7LMC2hez/ADBM2io82wkxBzM1E6CWMYutMwcwxMOBgjzCTlWgWIt8edl6hr4F6S1MkG4zo9T2iURXK5dx5jFWjMrqLmaoIa4ZdLO+aozlYhbsK8+s1YZ0uUBaG8zIxnK9T4EgxGCH/aEtlCh/qHpFBmAIMxBqnD8xwvo4rO5lZhSCLfRBZBP5+HG5QTufsPUXFfM0fVrDBikdHiqOfmJZWMqM1r/WVWTXHE189wf2FfumIdZKflxemEJ+eUWODbM2CpCgL9VG/c4bdfcCa4EdcF0QWtslPcOR1HTlwdEEVBl05XK7tvIPysuDM1LrbZc7c1iPquVdRMi0t/8AaDLc2BwS1y729e0ZhJCtVLllYWcNZOWICvQ/vKdYmvdRdP8Agjc/kQK6P7/iUsBj7g2UHCv4Y64a6dQB1RVVuWNZbupfJQ8upRW5HH3KDkOECtU9sGw2NRmCf9qIRRerm0OZYuFm39XLKGpTTmIZQ+hPUAJMAD8wmJB9BmwjA/JrjgRMWhHF0v1GyocNpbmtyoW+opN4tX5YCoMrcwKrS7FxzVRZlG4DrqdjyTizmMrz5f8ASK8YYO+0GSskoIXc/aaIZu1g798TgbpGrjAqu5fHGLqYMuMUVCYWajOyNI+V8BpDHyQFlkAQkHbzpnGYAo4mVai4MBHHw8eJqxEOUBgiDvpY2cy6mMDviOHGGUSDnEVrSTS4cyla5lwZYJfhnk9w0hEZriEJha3oglRTSyyhs2gK64uKeRPcMpqAA8B78nzGuU+7Jmo6arUCvveZnCijiUyeoMktzFvfKuJUcOVPoeYfcZdw/hiltLTX+viLModLC+PfcV/ARv8ANsHXa3FX6wBGMdO2hK8DjDgjGYgbcd0l9S8Ag+asfUOPANLRn8SpIuRUPZluDurFTTd8QaWdlh7VDcINLsVArJGC8X8XMoKu9p69zPWBuwPSkNfE0zer4meiwC7ghanH/SHHIehWrImWlBplzNjN6/aUlXDUl1mk7O8wH3J8Zh7AvX9RZYEPD7iuSbTA+o5A75Fg0loy4Ezd8jx9qTfCboMPd1GWBRV2+qlrHWyy/ECEd3j6hm+HLDTkb9RVSexWiJBaky54UoNkPgVSOOFvUOhM4m9PfuNA7FDv4l1UsFrl9RgNYUYD8BMkXrBBiNpjqJIifsla0zHbCTwW1xpdlLhDtLEWI/CyV82mximpn15EL4qW5hzEPUbHwdy2t9zTK+4l3LM3ivjLEM5J0zLq4BxEymKpZaFCU3+kIZSgxARK7xjV4XOEqJZF4NRxLzCsckSqxcoSf2wABmIrNRtsuXFymjMRpcwHGI8MAbbg3Je4S1PSVFo21FQQuhcJLhgsIRemyjOJctW/fes9wuIoC7z/AJS/hTwKp6KlVzWX8wTbD0+phv2S8Fav/M0UCo2lfgrqZdNVf5xNgA2UZnM1Qtfqr/eV+Q4rxHeFMhp0pBDFZtQNF9x8JLcDzfohkFNWN/chNL3CrkGaHcdxtKU8kChTVFo5SK8DFTA9kty6XkNOoRx0QPJxo5gffCxejdEDiLE9PcwkVRtSL9Puo63coeOlqKhpl9tThqDqNygw+5kbvo5/Ev4fg/qWIHsdn1Gyq6DOO+oWFtxlr6IqVXQqY/HuWWq7q9nJuPsvRGPn4lP4aUA/aEXKwO/wRUcagwgurXHq+ob2anl76TL084yIwuG0/wC40L2PD8RBScrLon1LN/3l4aKq5V0hpgNDW5nT5AvVQprstoXARK3bWeJn0urUzJPG6ZPpxMrGiz1KGF1e4sALo2C32zldyxu/guK28Hof7qIir+R+Ii71AVEM5lUa1zLRFpffBDMsCVs5SBUBZgQAHztL/EFZRbSz+Yj2b7+JSaoCXSN14GWDTOhFgFBFgRl4V8IUR42gy/CyG/AItyr7uXe8DuZmG2SNOZlK4K8xgkECmYz7T1CVnBlgGZnWUdi7mHJ7gw0WRtU3crR2MXKV5lEdDUaab8edBOYWCRSeyZvIQcc1/MQRV3s5ibIb23qpX1p4uBl+4r9QLhNBGw5pRjWalJgAql45ozM4MFDyPlbcd0+p5FfFSutKvNXLn1GO9Wsv1MEVfV6NcwdkGm4ju+CCc0VSFQ6Yv3LcSsL74s/1LGBWU7Hj1fRmYFbQPwMxBjWzMn0vEqUJQbWNkVuD2Yh6i30Wa/7jQ5KOlM1cwZ7ZY+W4d9Q6Ky+pYEFGgpxkrfc56oqBXkTcUOXBKrpQqaiabNQtxQKUi+79xCWFR/yd1Gzxhac8K6gX9V0/cY7r779LgZxIWvjNzGyx0ZVyhDdACtHsev5lnYJWxLPUHQ9/9zeno5iVRbM/vxK8EjFgfzKMA3/cMYkVIan7IbErq1L6gZKsLGVRD3NCwuMP6iq/bG5RhXZZXi3EvPN7fehZnOwWs96OJusIUo62iAHQZ1xVUHcrOIhaTrlgPbVoyfRqO2Tf4ILFtBqY5amKQVeNrDdYqsXT8QS3gwf2QMfANEYNNcsGAXEtTAIa7yTo6CazFRxN4mWqiUElbURxKB5XPFZaQtHbcyfAFR5YAheZeNzKDMe3DrwWYUwVMmLJQZJGnG27RoSUbMTUkLqpWDEXAumRQXHBbMDXuaC44+dy2GrKRHkhtKZVzzcxCFuhv1BelwZuGqx3BWS9DnMYVQKqXuBoOu5iD2871vcCGN8q5/PEZkdBpv8A7qHqpt2XbipnrBwe7k5YuGZuYP8AKLiYNjaCd7Cuivvcb7cobXwOVyqTLBLE/mCWbMhf4RZ0OByK6TmDUr8z3LNXSNFHYuj3Kw7dUGOUO+oGwTUsR9uVTKMzIKE+u4UHKKr+0MAAxJWPnTKirdgMryVePli1KdEZDh/qde5xA7lRVBdlG/t1C02J22ftOZ/KL18mBoFcqyvpuZQurFoDrpJ/Zhd0XDBWi2xTtuXfK+m/jUNU1uylktKgCiuusPqAmmwrF/rBlGbQa+8zXBAYX1ZI2NjgWvsl4zaqKF4tIjCo2vwhUwo3NqWtZ7cS8nxRV/BnH7ubVw6UVSwriO9Izo1VUrmAoVyBfKqj2Z1huH0ymNGCKheuHpD49BHb5JR2YJsF/wCkzwLJnebubbGZq88RynbE5mWYh3n1MKcauuauop7/AOJkO0TyVXhQyzS0QVGD7IQijmxyrMy7lM18yk0dwPyCFDHsjZCAMEXhH7BFvUrlRGQeObxQrYdlkz4BUEg2i1DnxHmIjcYsDNISiiwHMoz4GbR59iU3KF41LCks4TROYO8eu4VhE0szD9IjxRQEOTAhVHaXIh3FqveScYJbQzoZgl9MZIYlRwG0uobfAO359QmxQ/Q4IjQIWmcde44XKFbkivZ5uUDv3L/qV+UwXi4/YXXExvatd/sjy3MZjZspdblWy9Ey+4akv6M8fdSizA0GHtmDC45MY+EFlZjDw/MFGbitC38HxKsSatcDS7H95eLGQ1G/kQ6txFF318wO2gYwo9WQViFGN/cStPgv8EOx2o0s5SHkDlVYD7iGH5Oh/wBREs9vtYGGBKrx6/qIMK46Xbz8R164TWWFWKvrM8t8y9wC6stfUpgagXTUHksKbQv8y3azTL3jmOWNKsjcyarlCnNnwzdnVdLBXqZ0B3Rm0NWBx2s9TP24dlMPb4mYri3jjDnMs04IMV72SpizQeed/cyFyuVcblJ6yJdGqf6msFtT/VQECBbGm1Z6i2amghQ64lvcoIu3szEehmvKqMRnVJuM5lQ1gvOdXNmgjA4UO18zNapceoWN6uJDraGmVNSJv3GAbh/2jKoimYJyI6sZhdaiUmmHwlfXgAcSjgmPXiaIoxcQI2MGYStQ7gSXwIJUNxkg6i3LReCnPQOyTAk8tYjRuU6WJaG0HV48IGJB7rGu7zHk0mh+4VLMkbBqoEmajLoQdIVzMammImTmmWXptJTc+CLw01EfkhHhQXGIE2l2HvU5OU+0gQIWGHQ9xdq7N54+pmqUo2D8QV3AB2fUcsfev2VG+lBX+0Z3lNGvcw7XJontImVeAyHuHoETOcfiNKpKP6kC4RmxVV0ykK2t1u7/AKgVhpZ4vFErWZS86HZO11xpHoLiCqXJsrmI4xusRwD3LrAwqr7mOtEoXb9lTtl8L16gryHQv2uXjVlmg5G+WXCkznJ/7j0ouVi19Oo+QaGmhr6IYDp2ghmu4htia0X6QBIatsD8sClv9BLd0U25dxmDvk2P/svcq7yq+fiMBhvquuZudEZOKOuoVReF9AHEWjkoz9vxxMWb6FYLeyUZVBd0U4xzuU5bTpf/AFKUKgBtlAV9K3UG1QUNn5rdTKnIqXfMvULb8HC/iI5gic0VXf7wOAcBbNxxSBmbc/tEljDZm+T1G9FDDjxH5lbfaCAyNNsLpH2MKlEMeoSRgw8YKLgJlzLAswBFbjNMzzUoyHiHRCQK/R4MfEMV3LYkrcv4DbzlWCkmXxCHhqVQ4MzNxp6iVvEWsCYF2l72nTrEe6spBcFLE5AhlYCzFC6iWty9vUBvLEoujCmtxNceGMLSy4JBT1blEQw0/axK250JijegwJrZPgZqwCq5mQi3rcpl3llwUFrKodRSTthaSiWKlYyQeA4CA8sYAo+4pzNn+JSgqQeJMogssd3BR1uT8pfi7u9A8R3+MCYb6n9zM2IXSn0xNlXgtxzjUFdwYrlXDMocPvFHxALjzWRrFwWuxOzV5tlR7Ms5b+YOWo2rhXMGzjOcQ/M2xkcrt9zQUupl38SolKQYY41SUHeOIAj7DOt1MJw2DbD1iu2R9QimApQ0GMsotLWVbf4mkJyextCvUbAf8EpjMTkBXcXAfMMdvBPh3FMTar6/qVQNh7fB7lwhx6GSiU04FnVVChKLRQ7nfQC83iljVGlrfaFt3uj55D3KuOcPwU9ygi1/Xx8dTP2eqR54B2MEB6PNvJ+0Iq9RdV37hD7BNerpmCYUn58gZWqLG5dZGG1Kj5nISwradcO6gdRBTLl1BnVD8xu3BoEXEZ8nGHBXVwGL2HUasTaEKbuXJrNfM0e3LqRmTHVxBBJnlLGIuvE4MKHZjcjm2BJHOzbwYiuRviRRxM1Wxo/wl45xoDdwHFxKygQWbrMoYlYNDhlcxwBOacQxHrXBxK44MOvmUtZwTbYDEeqbFtHUxq9aHt3DKw0YQWy8UxSr7ELbMDnhlzgopCCrFNvojag06lDCjFauVjZpflufKazyRHk2dMP5lbWZMNP2jSUyWb+2YYfSOrHY+ZhHBba5+pstKPn7lZOxLq5WLAZHrGYo89dRUDktYo+Zdqhtk4b/ADL0SgnJcbb8P+jOc4BY+2dMyRa1t9EoWHU/glt99HymTSzlaT4ZbG/ch5sl64AFPbcOFUORQ4xFTa24NDX7TC978k/MCeVTv/HJGnbGymdQW3DDPLfI+oUUcDcZQbZDQY6MW9yuO8uvTWmId7yOmXion2RfARRDjSDjVfC5YVgom+LS/wCpwOVcIzyv4xKnlGcxt1pwSkvwCzCZZFmNkpbAZi/Bl4x3xWKeIFue+Upgxu7/AEZAQs+LnRay+YMCgAmXguPArKGFUfEyxMlS3ZKeY/iBUxNMWFjCpMHLXqUrUa2xbYXtE1xmU7yQiYe45WRM3nUZIITRxmFMtxxLCEYZgiywpuwSqWIrTdRRfo7Z3i7moqy+V4g9d70R27RamT2KbTllb7mwnM5GW1/g7gr0ouLYyxSOs8x0VyXNTErKjRcbZg8iPcqZXdVgbkjN3EqApZu4c/GZWpFsvLUOoG16fmV/HZB2wCmxdT2fucZahEMVTBqvxjActMvKDlhf8eCbgv8An4uZ7u2mcTmGc5mMT6MATFPaIx6NOMu1bAcD4hqqt1vEaUYUriyKTlYOIzpoWCmC4aIo5zMbS7BWPxCrYpKoKTcKZYPw5SlofZuNozSp6SWplk/EbArb5YURt/CwAYK/8ZSAF/0SjxCk9SjWUTCg/MsJFtdyu4vyELE0SjSdLxqEqjnMVhEPBLOWGGVIFeFXMEvdw2VcxRuCHx66kKzT4UwbXg5l0FZzUjtLlat+ADGHVLFsQHKXyGqOswEBVcwWHGNXR1jce7TLsTMYttRnrU0jSJa1M2Yht4ojUKSyjUJdXgJdlQdESAixCjXEDYUxQQaWsQ0sWALeOYqB/KGP1+IvDpicIHDAOxXEZYrdxV1q+JgaWZA05csDTLXVyj29TcjllquJ3Ys7xGtlQG1wPSFY9ypsikXjiJrRibAvMwSExsQiEauS8TBb4nPRtEtHEUNoSq9BaveY4BLwIkCimpZNMrOpg8NEKPaD2Q/Z0EClEJN1lrtj7R1cHOswXGaHzDv9o0LljsdTjiCx4IZ+yBQYOJYlCdXcp7fjV7hsQ8VMTBMDxOlL0eBhAVKghlc1iX+hUS0TBL4l6lSWRoYxsTNFRokvXgxGQGZIwmTwlZxGiiY2IQOSWyQw4HjKkrExzEBmVDPhUFyZazFaDK8xlFkSoAwOpiCKeaFGGLVcP6Wcp8YjqvtLJVDFLTfC9phcm1RRpEAm0gmpWcTi4eLRXBEsX5yyNHmGC3B6mcnAZcOLUtzcJv1l7bEYUoVmOFKNxBgdQ8GvmXWtJswWMffgAtfZMWw8kxNIE39JaeCVSsQao8EMBRK0axxKdKzl9aTkcY/2JlA2LvUzK0w3olaGpRodMJXcDtX3DXxeZl0yMzB1DYl/V1uXEhw5TLGUC2mtIo1KRmXrudiDUGoCZEBnxDlIzYy2aeRtlqKQBi114Xx9chFpC6HDDx0iPDeRoqO2vxh8ylzFDw7PBgzOciXZOxLeSFYQjuPmmVbxM0tGWdSlYUNdCOUZYZiy4azUwVzGDhNO8RDamFReI0xhNs3HVdwrUSNmrGr4glQbbiCgLfuMTAwqiiVrcQNu4xdd3co6lxqUc7grio1B3A+rqPvHqXQIXi1Ts+ClQMS1j1vSYIqIdw6hgNzlmyy8WTCsAUwczuMAIpbuJQhaJcMzDAaZWGoOWLB1LCLiCAIyutUurauUeQ/CJntLmFoRyrrMv9xyQRXhB4jlQchrwGvMANx14r/MVvKDxDygR1uXV4ACFXEg2W6nQnQmWZKluYEzQTwmTzSiYjSIghQRu5pJalSnkujEHcbdGYM3cVzCsCLfJcolBZ6p4EAsXpMgMvU7jhWX2cR3yiprMwoqBlML2YUtYo0ETtijXPUvLAmZBi56BLliqRV0Izj/AMsLRV8y0kXudM8Qa22Zhco9Qi+ADRcyZMJmskMa7lvB6i3qQxUBMjiEtxMxZQApPhQwJUii+ZfQhVeNY3LCyOJcz521Dd4nM1UxxANjJlHqYyvDiZ1lDQ4slkNzUigh8ObFjYIoFzOPEBEYYK4gn3G1UdmN3M8EgBFPjbG/HJNETEumckr4uWoJDIKo2ZVL+EdR8a0tFSOYUfiEPAS8yi1AVkqRA6GFQOaG/DKSQ7KZi4ARXUOQPCHEaUxsRxbhNvFzCjcJYN1jTCUnMv2upT1FBWVtVKtxRoMTAgIzOEGxb3MFksBgu5Tmqapl0oYQwPaFJYIARHpoqlp4GItNTVjHFhONiGHETuZm4yG0QpwgK8JSus1tU14yKVAFO0QpmzqRxUprm9ZYupSdI3ZBQajRYissSEHPuAUHDLqRLo4ladxwbmogw5K84bOVKmGNnMz1MrDNVmOyGV6zFi9xIjnKCAmp4DE8hkTKAJiMDBgm4QULQAeFEM/GCyVkKJaqA0T2wYQQuZweCBeJmsIcduHKwtGfEOM9lqxFUYGHUeK1JZkwFcVDwJabJgaX9ShUVFQErsgbJZrSQxisUlzZmEvMtWOpjRmBixLHgQuhhhuMRb4xpFwRBfMrUDHjL1tKgYS4cku1zYiddRyZzdxqSY4mNGiAOK6Q9glioAUY6N1GKO4BZJmcRrYktSjRA1SvVFaMyoVl1PSJQXKaERnufNx3ByiCEbSxTTE8zBuW8y3UrcBGi4GS/Gbsvl2eFpYTnqElFZlEoh2QMDuBgRxjs3+TWKPMpjD5Lvg4WkS8R8pQw8LgRpYgzYFFwRc0cdZgODRwSDTA0xJrZ1LDw1pG+EBczfuPnZbBFEMQqIRkxIiI+EwQ1CshMNygJKIMyvbqKGty3BAtUaC0yyltyQdCoKLxMFkpDLGWsW1dzfL2XGoDBcoZAvbLliE4t+MF/U5aw0gnmiPDUe4bmzZl6ymDGqcyKiOY7EETDlgrQBpDcc4lDZZjxBoqlxg07jnMywbFUc1LaXMvxHHMcRUeUVEcQeG4m0ISUkI7h7z3ynfhZkJfhEZbxR4FuCtsongKxqMjQNI2xXJMggHMrgY9DG0azODKhAZU6Mc7UvipzSjEDO+FqRtULcQdVLrnxj5yOcQohdGLUJGwRA1LJAWpYEoaFZYOPAEtqV0g2h7WzE4ChFDAhZZbpKAibuF5WG4gIUkrARLjaLUYHXiVmY4LOJwHK4C8TdQG5mbfDPc8YzlzH470oVN7FZzA3m82iFMzhTLJarUCRsxiJxjFKlvg1jLFoTRLcsq1HTKBC7mSYYhheCgDWX8SmBjNk3BiGNstiiFDw4MXgRe4MkMJQnQmixh8BC1RKPUwsoilYT4hg8GR15up4Wkrx4y4oDAm9jK4tLm5sYr3lJZwpS4mK2ZbTdjQhUIWRwR7vFMi6pahmtEyJjtwCrYmsIhwQ2SKsExpF6H7IQ4ZVTcwkZmp1rljEP3UFVEA68Jgg8ZZtlyuGoG810yJS3FmRCG813CQ0FwWblzHpmSyF/DImpmZ0hXHgM5pGx3pM9UxEG14KCczNHbAMRWXJUQKhPE9cGcRbQZHuj1HLAYklvM58BmSAQqQpKOkBmcPwZJNUwriKW8IgyeKdOjxzpaGWQSFLxept4nwbZRWmHZBU4RMpgS9ygqCNznM7k12V6jVUxkILJe5l2xFuUwMeKAyVlXGK4Zt8QZaW0zEcGEapMW4CIlRcoF3KmpjSaVRzUTqIgNEuTSRjGVsGGasl4Khu4EcMVBzwa+AE45xLgSbuYg+ODdsx2ZiVNSjSJB440OF1URiam0zTjMB4i8ctvizRmdmZNR3K5iihBHPELlrjyriLcVEPHhuGU4vPzoMw20yjwhJphduCMywmRUdz4Moz+DPGL1mCqC4mH4FKYwZmrD8RpqDeYxR34OyXMom5jKlEWotM+nCTgJoI5LuIhxMsiKwosQeaOqkvASjMQxFJTiwzbmMI0YNF6RxcLBqavEY5edQ01EGDzICMZcIEFXhGxQZjjl8RalV8QolBxE+K14lXKhDqGHmMVDQ6fCBL4kvxWRC18GvxmhH4bTccylAYGZcFP/EAC0RAAICAgIBBAEDBAMBAQAAAAECAAMEERIhEwUQIjEUIzJBBiBAUBUzQhYw/9oACAECAQEFAf8AZEwGb93Ohub6PYyA2kJC+EGHFO/9lqce47ATypNgjl2fbJQ8aKdrrQssvVv9m30bSrWsSCdSs2cYD7WGGvaLzUXZ7q/+wM+ewejYktKq1nIQcmarzEjetdNYANjS3LpCrLkUYiWf6czf9g3/AG6hIEalN2YqsMmoLXUNFG4jmsNoEtyNu2S+1ZiMfKCC80X2f6fXu1hBtsAilWlfHX9hsJtCcWtyOI8zXJTxNVzFhipebclD4TzEFcVlmwIaf9SYFAhrBLkieaqsP6l8vPK3AhNmxvRUGcRLsblK0ArpI0z1LAUU1Hkc3gHoZLDkYp8thKxcnQ/1JOg+Vo2Kz1vgOJ+CGbHoWsOgYfFYbQGBMs8vkq6N9uq05mw+flkWIteK6EZiSlrjbZY9dng/UuxsXn/qtCGFtStRtt7RgVe1RFsV4D7EAy3GR3ak1sna5OL5Xq1WbmnlC3td5Lsywm1MUMv+q8i73LbliWoJzsua1npL3nhjXEv/ABCwEf8Afeu0RiKbLHsjU/DRNZYEXJwGQzO1T28P9SY4ENjbalXD0lYj6e4dgpN2qtNtnCy3SV2JYbfpzGB4LUEUmU9FKkLZqarSlWHi/wBETAe/Y+25yltwUDIBhsERuswESojlbWtqBCkW0gWZ9iCoFkQCprXDV89i08chXBl96Kbcn4V5x4WZDGpDE6H+gMMWAzfs0ZtGy7UewmBocgRc4qDki1S6iVW9O0YxHldgMbIAsuv4oMwPZkZR1itZu++FiAEf8hqavEgAPkP+Zub/ALGM5bI9uU3HPVjmM1pb58maF9xljO0T5FlPFHsh3FOw/ML50rU3vYltVddTZNTTHs0Bt2WtTbxYFGfiuQi3kD/J37EzmIH7BnKCMJ9MsMM8kZ+ie2mQz63dvi3B2ZYqNwpYu5G4TxiENGSG9g7tuLYRLTZ+IxJbHtorwvyqCVNTtW9hcAGAJ5b2sL/425ubm47dExDOY0r/ACBjNCfkv0TNyxtQ2mbhMctp/KxAIUJzFOtMxmuigMNboa7wZl12+Xh3ZWqtTuxLsDaHCtsqOEwfHwMdBY1aLXcI1nF8mzdv+EZv2M5d8h7ajLuFYx4l7olpDDIGmu3OUFnTXT8iM+yZbkqod8o1o+RzpZnX6ssrIbelSweR/jF0YSBHWsxLChSqiwMoNyaWJl12XcbFFmXYI9m5bl2EYrOHzLm5pjWuP8A/2AwmW2d+eV37gcQmMwl5hJggMDQGFjCfYS2hbQcGmWVtxCrFIMIHkIlh4NZzMqtcItq6Nm5ZU5trxqd0ZRZ6/lYbiWvrb8mmxmqt9PqePgIinFpgxX8j4ylkVQv+CYDDOUss6ckw7EqMDdc4bI53D78oHjNB78vZra1l2TxZMwpDlFicho9m4H1Gt3LbW0LG38zUXBXDp3bwCS/Yb8Zi9dZEVwrIqF7kcXKonEGd/wCIWjN243FSPT0DqCyFui05ewmo0Hss1Ne+algc72rLoNC05w3QPNiK+p5yYALDj1MqBu6/UsS61a1qW3KUG0C4NeKke3IewK2wBC3f+CYZa7CB++W5TrZI1cvy17MIPYexE1AsA99QnUtv3HRXj0kHiANd8QBYNng0KNoqZWpmDVpBjsYy8y2JVUi2o9L1fHCJR8vCrd2qQVr9Rn7/AP2MZ+1aGGWfbagaI+oboTv3bUME1NTU17agE4zUym6LGK0s/aG3FDT4EPWNU+IuPT+Itx7Ay0bNCOtKqoJVRm+p0suPRZlrSPUMs5NTKFbJGskZFsuu8aYZY1smz/dub9tzlOU37M0sbtGE5QmWcoSZyivA/uYTNTXtqanGagWATUKzJqaNU266e7noRGyad+QsoS4RNsuPjUmpStlb43KoV6GOSZZk0005Hr3pjWeq+tXW5f8AzDilM6zyVC6yeHeMLVRL8inlXdS6ZFpWz+5pz0Ubfs05d8obRLL49k8p2uRK7Nk6lwGzNwGeWC2M8T3A99QCampqahQGepbpx2zbbJ6Z48iZfo+pVhcB51V6HR5QeAW5KhWycGqIqx/jLgFrb0jEsoT0l0ZsezyMPljP8MbHsrmZVYG/EzbMnAxLK49SE++/YmMYT3UZuO0azTG4astO+c5TlOcSwg/ldNZuEiMwin2HsohMWLNewg9hAIV9rK1dH/p/H5VYVuMyX3ayQ+6/TTdRg4taQKa7bKlZV/6LRuhK9Up8pZlDHGT6xlCyo22WU1g2107XRU8FdFUBhrZsE2ZuGA97jGO+p5ByRxGu1DcTHaFpuH2eAnYh9iYQYkBELCVrucJ44R0m+QmoIvsIDPucYVmoFgEatWF1d2HYWLzey+Rh0VV2VvjVPzCNpXG2uqXJrvwQEXFYtgY68rVRDcytOfQ+3PTMd+x+ie+ZhaOdyze0saFyZuMYWnL2Jm4izqahWCqPoQtAxiykdATjPHBVqATjOMHsBNQQf2D2dFZbsOyguyMlNSm3Jxk3+LZyB3ex07usZ1IqrAikoch9hr/lzg7ljaBeeUQMI5jtqc41nReE7mvdp/KiAQpOE2RFJ2Fi1yxNK/7hUSOHdaiJqbgInUPsIR7agX+wf2eQCBwZl+rYGMcr1zyZGHnNdUPUb1n/ADOEW/La9n+UtHRqYiqy3yZIHhLMQ6MCg7B1LjO5VmuTXZ0XMsMLQn3JgYezrAk4zU3qbBhSV0zUUS79tifOkbBpO1r1FjPA52h99zl0PbcJgPsB7M4EsvCpnf1BmWH031b1lLbf6a80p/p7H8y4qGu3DdZXgUNbwXiuwhtO6htgAt1ZQy7HAszFtARIQBCvOCgRKgCrTn0T7a9i0ewwXHdb79tQLOEZYqGKsCTj7EbllPdY9gu4NCMNlKtkIAIX0DlCVuGinrU17iO2hf6jTW1/9UVhqvVvU8nJtxFycS/FqxbMDzVU7ZGOWmmtsecW8vktWB18mTjqIh4nIu5TGurEyPUF8lLNdCibvq6StUHUX2JnKAwSxvZxBWd1JqagEHuAIEgh9gI1cKgRQxmTZo1s5fks8ohunkMdtzxblTFSp1Efc1DHbR/+kxRKM+vNp/8Al7Hts9BrpGNi10g2uAMem2W73dk8KvyijYeVU9eRn1LYfXsZmHivpS27TbIGM7V2V3AU411lttduOFzxxGQtsZ11uHIIiWkjl7JG+m+ws4QVRevYamx7aij+0GbhljgItZadb2JsT+eQE5KYraZ1BCEmK+iLuvVPUKQmU/qCPhJhnMuu9Vptwsm6xLByT9k/H5xAihhysvxuQswchAn5ILpTzUJc4KeL4kKhdqy1LIitMZBrIt0LmtR8Iky3lyr2F8XfHQDRDBkVLDkUkW5ABTLErtDHU4xoWM8rbrO4BBCYbIjgw6n8+WMxY2jcPxRRHQmV73xMt3uqhmjqRKDyS3Qb7l/5t1tK0gWemUI2LiirGGNLsj1ekfnXgW5iSr1rEFzKSFHCX5TxLXMoHd9VNouxsml67iy2lZUzCDiQ36bLYOGS+lsPO2rks+Tleh5E2W2Gcgo+xajmIlk8DTxHdT+Of8ltkt2t+bSsHqVBNHC2VoFBy6gVYEES1WnNlNdxeXWEEbidRD87zKErLZD0MlFHy4LLqpRk+MZF9dgrQJZkLxIHXcAXl+OltC2sYb0qS317CtTPtL13pkumJYuLkYGQmTjWU8gcSomrErEzvUMXFld6MluRXwxWUDIrU49NPko1YkZeQtqcEtYzNXFt0iZDRGOrcdlgrYAr3WAIa9iupAXUaSsbbGDT8DiygzJw7mZMC3eDU1cNnWRjWM2EjqBqWmGrcrrKm1fmPasfPII8sQbNaDjxTbqhWxdewcg5Pb66EHTJcldfqX9T4RFeP6pmVY+LbRcn3lHGZP0d+mZ+PHb4j09qM3PtvsCerV49lnrltgX1K9Ivr19kHrtpHp/qeOKwVZb/ACJY5HDwjlYihVCRAog+qwjhl1LPiK7PkLk1yAjZY2Mg810VYQVwjoL8i0ReUNlKL+ckT1EEj9QCogN92kbH7dxP33n9YSro1HkG1LCk3saM1s2DUI6H3/64B66f6c9MDWen1Kt1ao91zcxYTHyDv8m5BhZuQ6X+ovSb8qzKv8Tq/AxxZuutJkeNJU4a3Cys4B8i1pz2ejHrBD47KyA8RNTgDMqszw2RKn5eIkPiKIlHyUGKsbQF+UQRlOS72a8t4ByX3iWF7a/Tjypp4KVl9Rlgnk3BKhuzIrCt4n0dAVRSss+iCCh+VyqXyljGH7qXuusAbEfsZ1RauyizaYm4cBN/gII+MzAemu0q9Kpqa302xrnwBPx8eqaK1PjYzxfSsXKsOOtCfccqIhOleFq2i8Z3FEB+I0Zag2EiDq6Y+y6pAvTJsZGMoKVLzIVVvzBrjMKo+T86xDjeoc5zEYblqQrogTGUmzJTYpVXpeixTTSxi1qI1KmNjMWSla4T+s6h1dSrBSTj0cRa4RbvUeJo9QRodMHx1ZbsR1gFilmRote5oqRp4NLM16uLWKaMG030NWeNfIPY7GMdR2feQbWXGutCtawIBdEDBYD8V1HEIiHu792Nrb3qpGahAs2MipyWVhKEdmv9MaU4ZZkw1pQYasUoCGtoPp1BltE4EHHrCJaCUqJVa2BFdYZPGYKo5/XtnhG5k640HsETPsPHKd+WCzFku41pl7NVosnqCQMwahiYSCPGYzHWX24+MozKakPqLiV+ondWQttFuXWUTMpi3JbCkVQYg+Op2SOl5mLYxY/X/p/usaF43LHtVsHLtLNeOV1Q5oujZYPHjWKHPyBGoFn1BaIGBlxgPddh1y6+HFOloP6ftd8bNjfKFpcxMpg+rk5Sz0vmcf0xa5bX8SLEsx3KtZ8xbiiUrEqRlvfgb81BCyiMxJLHQDStW51g1JlZm2oZ3fDVt35SVpi5SvG3pd6A7tnkG0HsY3c/hlllQ1UArrx2x3ElwlFJ51JpbEmddYgHqGQr4mV5HSwAPfyYfuU98xFbc+5SpFUEzVbnGec59mrYiHqbm4dR6UMNXEnoZN9aQXgTJ9WvWJj5OS9qcCiWMaMV2U0CJh2BhjpvLq5TKoauxb0x5hollC4BsFOMKmT9pEovZmr2z3OyW154nkUqbIpgnGOi6ZVEGpsarjjZoHzVuso/DhzOZ6X88XCZC31j1AK372gJiEBcZOdvvlXKxJjxjB9xTFMsll3CJmbIbcOpe6CfieU/iBQ3p9TBcBaUfDtY42GUrUS4So27srfjQrtTlYisD6Hi7xeKSxNBrV5VmExF1Mcy9Usi4STxFAoEZwsx7VsLaAJ7eolUrcPxgOgD1T+4tL7vhi5tbM2SjsNEcdwa02uX8QblFhRq3DpM24iA9xuoYv3ynkAgthaZQJlKtzXpbSdWBmNCnfEMjuqne0KmUW1sTwuvtNKWBNEcdVAItmUrIbyFTI21Lc6bcZQwOoO5/wCsdOU1qwSz6O5kKTXiCxShfig7fpEJLtCJyEpvXmzTKY8cXHYWFH5Y6nxr8YSeTN8h2qfc2NU5LVweoV8HtYtuFwQx3H+oTLNzH3DCIqgQmF0EezHLN6hj1W5thJ8VxlVZCPWCtzUKtb/jtWLrpsiKB4ifJMVKbDmUnlUvdOXwVsktA/yU9aO8VtMw/WReReuePp/qhAIYiiW/trHy3LZqzdljVvj2s9Nn1UO66Rt2418zw0wVvupotHTBlOoPpFVVYCKvZWH6P2Pv+OIJrAE/hvsCX+l3vbkenI5fCxi7X4K1V5dJfJyiln/JXJUvrFbhMxLpX4XilBHX9WpNMrVM6010zJrtYeJ1OwAljSvcVuiomwpFnlFEb7ZeuMA1HaVEhS/xWfzZvYI1bQl0XSITK9APdqAs0X7bRDDtfut9K+nG9iFvYdRlMMIm9FtT+QZ5DA0/iNUHHhMOLU6Yvp1dF+V6VRbcfSAjriVrWxLGjFUulS+Q/brspirSw+c/FTxWU/q2Y/VFYJFPXA+16cylI1VvT7iuTFr2drK6jvwiWDQoyUL6nUt3urWiuyKYywpuL1Pqcxxbs/zUTEI2idcTNGBdkV9ump/LRp/GvfcU+yNLCCHdkZdPWwiaaZmHztrasEvXxPqOXzx7Mwgb3d3FOoLTMiguAt+8KkIFO45G7OhjKOKvtVbUI3Ppi7QVFnbSLVbsW/tqxyLo5MPKVgzfYO4ftoo0CdzfRnGVma21NgEKoTwBlaARozwtDDP499QQmBo9motoJW3jLs6hVwsyyy51+dlCcl9P06qNovQGpYZx3AgUX8fEGpSBl0jdWOOWTyLp0o6NOZVYw+rDqbBsT4TJ2a8IMJcTxrPy1LjABEq7dRsGbgHb/Ff49tRR2q9AaKudq05Rmhh9j97HtqahnKcpuN3MzAN6Y2EK6sf0/Fx1ryKbGDHiHBis5RACnkCwWoYxO1gVGWwKQa0EIUEv01nfTXuYdFa8bhkm0aYBmrXuOBB1Ln3K6+z9FtkLqIfg5bYMIiDUJLHc33AIGigxP2iIYDuWiBowgh+9wGA+xEImo089YIvqMORUIuVWDT4uGulAj+oY6NlZCtMcfGurbfDfUrb5XXCVs7k1NytXSHlF47dhv/xo7GwawIvTHpixJK/Fln0D9cdlxqCwBBcrME17FjoT+de4gEBLTWpXNGN0HHuYvup9iJk3GsNmWtLXfdd521k1ksRc6Sv1KwTJy74Q5mMo21wCpyK8fbiYVlbcYTsXdjxiH7tg342WkBRsISIW2bT8KrPke1cgwAzW1BEYbF5AmHTo2TUME137CAQDc2FAiON+YS07m/fUE4zUUexMyKucGAoL4qkfhkWMtcp4cblDEYplNKmt8SvWPh1pLuStTbsL9mscVhXtOCxihj/XUf6J2HFYxtbHHrR0CeWQz8aV4hLNF0+X7STOO5y1GoL2IQJ9mNBNTXsB7LBqM0+o53Ax9h7idexM5QtLLyCMjcHYuYb47Pj+LH5CwifneMH1H4pl2czfU4qqACPxKvyHDUZuLOek5bb6m5r5fJgm9PZ4y1qNHrBFaiwFYqnkT2+4daH7WnLft/HHpl9j+2BRNQQoxniMKaGjr6hA3KxOAEYgTcLT8hIHDTUIl9a7Lop/KJV+XKkHfj2tuORNS0J469tBRZqvFs3ShWtyiyq+ndmQlajLW1+yK69Cx1nkWFGl94oFFiWJudGKg5fdNQ01vxfY3y73NdrLCStYIg3tB1xlg7n/AIEHtQm5xEK9ETUZYVM1s0gS/KoSZeZXxGU+7Ml9V3OzVXcRXbyjTIUlfx+6aFEakTQWPnIgyfUaymOlls8XWHSnNq6SGtWo/mMDe6XQYtiMtHOnxLVEzBFv2Mm3R88ewVpYn5S111qLdoVuDsys03xAPyvbkKvsJG6le+S1qosfcIOwOqvpug01F+gIRqAbKLoQxvfUFQ2U+PqlOR5BW5WrEj4iEVYigvR3TXxBjDq4HeOrAdS5NjIoXVGPUR+2LWGi1qke6XWo8KzGomTSorpybNWszKCQardC0hpxljAlhSKsBKkrtOw5Gqk4qQYeIBPSDU5dnuV6WM7M++9bJlf0ewy9ypOk+23uncBHtuGb9lEH3MnXEoIRr2Bm4CJsR5w7VZwhWPWpH4tpJr6W+lUaxnC0281q4yimXXurqw8dNRZvANWURkYTHp3DSspWzg5Xh40DWa8Nr0i8w9EueP3OwQdvrSfYMZwJ/BifQPQAaLVWJe4Na9T9xTUUT+DNQiD2HQJEyLTvftr2JgM5GcpzEVo96iNlifk8pVonIatq0XEQ2rRzqvQxVVmFcekE2Jo49ZnGeIQ0IYK9ThOBLvuDmWQjZDtkA7KrxGtz+WMrGjz+IM7M4zmTPuKdQDoCM3RJ9hE+6/owwt3P5UbJ+nMv/fr21CJqASw8VsymDVZO42XoWZW4+S0pyH5UW7WxXaJjmXVfpJWytTUQ0eMqk1oIAIdTqACdSlvEHcbBcNcltNjirjWwLMAAzEMp7P8A2pYfIwMUaFY7tI1uIYsQQR9aIgE7i/a/RhjfcA2V9mlrfPlOUDQmH2t7XL2CltgPNjODGV4rGV4Vm6aXErE+hY9ZI4FL7ykxbbNLYJ1yDTcdzPJBbPJObcSx5b1LtMvwTFSvi5PJiIfhHPGYzHl9kFYr8Q9nKATjEiD2aExPZftPot2Yx7insHRY9MZZ+7U4mAGfcI17EbF2Czn/AIzU/DIlWNEq1FSKu4wcIvkupXBVSviWZuAStVLrLaqoKwIi+zA6ZTNGA9FE1+PVPCDPxxxFZNf8o6c2RZZWrWN2Qg1xJZWcQqdaE1qARR2BoMsffskJgMQ/G3pgdhj2DsLAdhultbSudwCATjANRhD9D2Kw1iBQDoTuCBuofvwCx29QTGqXIRyNAPY6wMdKSZomGuFBoaiOfKb2gRgzHUUywhzdWkW24Y9fqFV9dY2SvGMxBQ9zWiIIixNcfqWjvUU6PtUf0nGyBoMJxiANDyBc/G/9u5/G5uF4HhM6m4OOikZe0AIM7j3FWpuBJ4xOAF2JiNK6EUWCZAsYL0MkWpZi2bByE21nX5ERLCbkqLVGxgWWGp2sCeIF65XbV46hTGVN7EsPaMdzj7ARRDCSI/Yh+/qAyj/qUTUKT+Kz8nlktjvXXK7a7U9uM0BCBCdQNBNmNE+7QZyl/wC8Fopyba3s9UNmPZuVZL703G28BcjMOw1jJzsWVi1rKqvgcIb5ni1ggy1ceO9WvKpLxsNXNAIBsAiWLWEI5ROXJRuFdQRftfZqw0dSDqN9+1B+A9mhMQ6d40y2damsfIVOKLGME6lttdS+bHnjE1FEcQO8ut0DfuFwZS4WsXKWexKkfiJSf1LLbne3lFwttXSAPxQxrxVUj6laBZwrdGxVgOjeqtSKissKywNxqrayNpH8nKcNBRspWNMsPUri+wlqgw9R/b7OP7MZv2Yx/wBuTlCsflh3BjXDYyQIMhCQ4Mtz8ap8i05V+L6fi1vv5ED23NzJSwtVj7jUCDisrVd28bZfUfHh+UQCFFjalBPJCNsVgsXexCewwEVl0FBW0HxhHZW/fbCzTxxcQ8rNbrTu59QHVZ+0iwexjali9D6lB+bGfcKGN1LDKm5UeoYrvFxbFbz9l3JPIDzOJRfylaqYEVlryq2K6MstVILIG3P5dNz6lp6+dl1QVUsbU/JfljeLVuaoNmXc8xiyo+QFn5zR8xzKL9xH+LW2qWayUWjyizSO5Zq2KNrvx9AdKzcrGYitCYB4xqvlewijsCAQe7S36g+6f3sJoqSw1aY57xv+rhuZVXTUKzHFQCyrY/F2UoCCaM1qDU8aMgU6XlANT7DCFOUNNCCpty7ktYxiyY1RSi6sh8XA2GSW1bAoaHFtlFBUr0A48gtY2BAASWesLx0ORJFiaKeUrEG69fOs6l/k5LW0dO+PXGaIgPsJw7uT4+1Z+UeGWECfcxiCvIxxsN8WDxyCQFMKKFC9ePU8ZEP1UxDMADyEZuqz04j84E5qlKiZAlJM+lur5ml1AOPtXq0VqENUFYBAEChhUzM7gcE+ISgCyzfmbahHABNZtNq+Gl7QXuFhsuqaL1P4Cwj2AgEAmo+gvsn2Pow9Sx+wDKjwfmu2mTTtmLK3HoqYh2ruUDZD86ntedTvfiTkKzCSDS8sPxrTnFCAWmrlxUwVIA/0aWigiLY/EsSUhhPY3F7njbmx0gYhUu2LzYIoJTa8dMSgaMhIFZFnMrGtM8ljMtxUfkI08lRgIEDDfKcpef0vZZX3XxmSdLXUWcV1FLccrODAAtOjGRC3/jhyldYEspVo2KglWMOJpOvCxiVMHNtdauOTKOJ30blSW3Ws6YLEMAApacRGPQViSNKB2CNsBOECyqhWhCpW3CaLTzOGdorHiE+AIK8K9Ny0iwqNmwCvvjyTRKcvoKx1ygd9FyZY5CMW5DcRHi2cQLQY9fIpSBGGgmRXF8bo8qx7HleNUJdhVstishrO424xgbp3ifEaG2TcTgAdGBOsgJMW2tpZaFCEu6qBH/cFJOiHc+1zuGx3cwA+3A6uZoykhjuaimbAn5GlSwGb7P2YytN9jlHCxChfYhChdLw7EB7ZeUXFYNXj1CJxlyLreiHnNpzaGtCNIgrf5/kDf5Yi5aTJsrsA6YncZIPolOXNePBjC5B89BPQVXmTUzxSK47sx/LQKmS7Mn1uBoezwMahCa8dApbbhJTazF/sqZxIgrWeLvjLOJSulV9gBvuKW5aWVu5qIXdI2F4kbUEzU5d8yIjtDYZ5YbYz7KmDqBpzaMDFHGONgI3Jq+vFPCwgTUPcb6YHe+6N8LrtwrYDUW8al+QJ4nAsaWIQeDRR8q7VC+TcrVdMoAP1ATOuXkEqD1t0CcjRXWuQE1ynD42WGoJbzHIg8gAHJHlELmBuUHk5Gx5sGDlDz1+psK3HZVF4zkikvVrlD9hu1HSbLfqAqG26CeOBdAKRN6j3U8WZNCEd3r3/ADz1VTSGDoIlZ4ovaaBsyRD2bX4i7MUBc+wvTlhhQ240HcKRh1F+jYJ1xP6oCcUWHe1ZwG+SVVAB9CGpY1ayvxCWImtV8d8QFaMoM+YHJ4TZpCIx3FDiAXKDbNxW3CywWCc9HziC0El1MOXWtbZLNPO7FiTG/bXy4FzxFhJK8oadRvuterF0yjQa2tZdlx8v9VvUaVW/O5Rm5nGpJGLiiIOMcxZvp2gMQdIASyRRptT8fbVqor4jRTcRTyeglu9eJOCMJtzPuBDvkINRzua1AZz7EVtHkSGEHMTnZsNGBM49MoijpidACdbI5H9s5dbICkkcSJWDtlGj912Lq5wDZ6nWqtm2Pd5dhxuMITKR3iiUg6n2eaa/i1jsNK+1RiCX6IYxTocuxYuucXU6hmxyKbVa+IrEHJYzzYYu4EB+Y1CRN6ZGG2IgG4qgAsY8LRbWAUMa/jD9MPiegG659fTa+Q4hUYAb7Lags3LIHImbmKoLc2roMrwDPw11fjgQ1fLHxTujH4wHQMZDxVNEyyuce1s0AI/KJzh3qrYmtzuKTvm4C2sVLfINuBoXAgbkWJ31OXXGuMFMXQDjRPTAD2FgaFSAx7HsjDTViEdAjW4PoDrxFD8oEfVlnGV+oEvZkAC7PfmmYhW/JmWr2WY9cxadQDoiPXGoWVpKQdLC8NnQaFxGtjHsVsRx3DW04ndgIFGz7NA02dbIOlHty4wEFiwnNZoE8FnCANvxkRtT5CfY1pS449iMjgIBoV8ga118RHSaIOiTx1NkxA9jHSS24zJzDvGVuV+SRDzaCuznRQ0XC5GrCRIi9zQltfxsJBosUQZlYhyhK8jZA2BXqGnc/HENQUm0CPYNqzTiDLtAUVsDvvjuGqDcI6VJ9E7ISngbXINDloD2GIJd9cjK8h+TPzPlWGxI7jXcrUQ/ZrZilTT8doSEiOHNlYMCcZ0IL1A8lZL1qxfH3G9L5umAiC701i1WBxIxagLvicYsxCEzjo/cStY4mRX24cRQ+xvVRPKnfBYo6cajjkfxkjAbG9taVnPmSnwNZB2oDDYJ62xP3ANHQ8T2kRX3G1AewYflBWxjVamwZwBJVd8dzUFbQq21Zgy8oGIj2BpyCsbV0dEEaP3D1EbUJG+tNvTmJqECNUpNdYWIwAYAxR7FgBZfVD4XIx0MejQoT5+eoLXYCRGO5Z1OZhIMe2wPx3G6lNradtsxYStmIJELbg3BC+huKgM4zXsPoNqPdynUZ9RFE5JqsoxKVxq0nGsSzwieSHiYOOzoxSonBGmgpccgiRxuIp0VMrUcrnRT/wApjg13I4DgRVbcUdXW8Zk5rlWtu2bLd+mNezW1gqU1AjFqayIjdM4jaM4xhNDX8GL9f+v4H1vsewEA9k/YIYT0ToH6g+j9mDqY0vYg83lrNNmOTwEQCMOxFJh+9DRn8oYP2Geok8F/7MD9g+6o/wBr9Zf1wTZrSY9VZahFVdS4Da/df00YnY+p/8QANxEAAgEDAgUDAwMCBQQDAAAAAAERAiExEBIDIEFRYSIwcTJQgRNAkUKhBFJisdEUI8HwM3Lh/9oACAECAQY/Afur0nmu/u6M6RrKJZZEKn7pInlCclxTyQQnA5qQ0ttvuUN6RyX5cnca+53JkVy3QklmdG1haSNM3NxaPtcKls6/geWW5dtSheS9UroVR2GmrXKau6Gk4ZtbLZIZOtvtc3FYgaSKYqkhpr5LNaXWjioRVT2qZdEodX8CIi0D2PpjTH2uEiJyheq3Us9cEQ9PqhQQ5/I4r/qaM9RKEyK4kinob0iEUzjAt+GWrj7bkyQ7NY889Sfhit10qrbxgpvZ5LKROCm1k9E8z9rjRo7G12WReqRN0MUUclP5RUhVT0uKimy/qZboTNym2eooJFD+1zBi2mTuJ1VFmL9NC30kq4mvwJ9mtKuH3dj0mCJKu1FkLsZ+3ySxX1tw5E6rVMhMq+BM4bfVPRqYZbIl/JUq2r/TAoLr7bgw0XfJfWYgp6JHqnxc9NTPomspVWSmE4kv0+14LlxxYtUfVcVp0vjVpVROWen+SO5RW6LoXpRYv/JepuO5ZjmpXq/2IeH1+1wky7JES0WUclhqpD0Tnzp6nFUlmJqGyq0JPT1KS1X2qyPpemPJ9P4MdY1lEMTSlEwL8DUFncrVbhK9jamJ1P1fI7q/XVw/s8lr+egqlC/uLLjp0L0wxLab7s3rqOTutcwyJkdT6DWiopd7z+CrrMwOaYJ3MVKeBXEkS/s6Tb/BalDhWE9F8PRkzg9d0ZMirnGBcSr57IjZt/MkkRAnRVtcdCnc/UhuOpelXwXQhNi+03Z6KrHyJmdV406l6mbL/lmHEFNNFM1FKdMJvKE1pD6jnqopGosKf3WP2M9NIY+aYMmDOOguNUn6ZKaaqKldmZXRkCNrcx9LG2m08WKPTb9vfkt+yu9ZeC2OV1QLoOlva6XDKntTKY6WZvfV+k8CZbornjTH27MmRU7ndxp4MlKq6wWURYaatxKP70noqcN4Nv6fybVQuyTPVE+BsV/TPcphPFi8/n7TgwXPVce2kaRjR1JRUlZ+UJ+Cj4Q/KsL/AEtC4ldUKWcLbxZdFfbphlXD4fGWymqzRwqFsq3L1NdGVbqL9HBKhKMk9SpVdcCpdXQp2voRt97PO/2jropll6h8Kqiesk0YJ3D8DW26Mekabs/p/JQv9JRV/mpH5IiUy3Bolo4lNopeIHuqpzaCmMDpfUa/U/q6FW2RynE5FLLr9nP7Z0vDJpqaPSvyQ6JLUwh1qq/YqpqtU8Mg3Us4j/qdLI7YF5NtXY21L4OM+FTG638C/Vf/ACeNW32t9waaJo+hm9G+pj4s1UtuNq6/g3r/ANRghvFUFnDIa9dI2urYmz1fKKGWzE1Ee0/s8NSjdReklWfYpqa/PY4cYdiaOM14dyKlfScNHyO2UU/Nhv8Ag4nn7nHE4qntkrfDo28Pp5JppKaa+HZORXafVQOtcJ0/pvL6ifjSwt1klgp7zYzPc+eTGi/Y3/c1Psh0cHg1cN98lct8V12h4RXxf+qdUuYX/IlVVU6etynh8OhUUU/3O6E6qR0xZkdVYaYkR3Vjybl1KNjyRBcn7FAvY9XFpX5HTRRu8yJcOmKSqip7HUr1LJTw6KnEZ6shppSU11UTR1PSQkVUl7oT75JRSz4wS2JJkT1LW/eYElYRiTHLFRblafD4ts+kdXDdS6XUFVdfGbTfQtS48idCuXKaqqE2saKlLJ6LvqiYirqip1VJZ63K/wDtOn/LPX5KuJRMG1qy0ksK3UmhFLqjyKCNLfuZfXTsZ0uWZ4Ij4L5WmTbTx61WunDv/I9/HdVHZ1Q6k12OCqqOJw1U/Teb9mVxTRxKc00qzgmvhOjw2OSBEaqrgpVObz2JrcPwKrNSZTu4a+e4rJJDgiyXVkVS0yoTJiS4izFPL9R9RZ6Y97JkppG9Jnk9KZdQxrsKpaVUU7qOHESKIVS69R7qnFTdui+Dh0UcNSl9dS/9ZmW8sj/puH4vJS+I6aVF1HUVVimjderRvrpdkkVUpnoqTp6eCHTjqjdRGIgvTCIqViqMCS+Bngky17UkKnTJhltIJXJBt1rZShOuq3YhK5OkjsL0/kVyNMCGml4fYdNX1U5HXW4SHTTLLITdhcTi0buxTWlp9SZg2zNUNqlKRVTCfexC9TZVQ7OZRU0rpSUvcQ0P4LYSLvSCNuufYmSCy0vpKIfs/HJkfXVH8cjdTslIv0aanxO5V6m5wm4HwuInuRT4PTkW5JipoxOj4vD2xuTSvK7lf6n+M20y9tFFnHkq/Tobc3qd2y1MExPgpVXDSS6m1Q11XUVNVUOSUJ22sh9eTGm2p36EaXIJIF7H1IyiNpbW2qK/nSRJjjBKsQ9aPhckPDN36cnpbUY8D3Q3/m5Jodz18VyZnyJ11PwOepkUMU1OepS1KZRuimro5PVt2RCjv3Eq4s9Y0WsljAtJ5+o7suKjufURzIYmy3KjhxmSh877ovTOruduxDcm6JY6osy5w5u6sIojh7U3/wByhoVexNfHU21yl3psymihWS0tkmdO3vXYtHTtJJgiRJrm+BkHdckFvyT/AAQQyyJ68koxp6/7ihcl0WyWXrpahjXEXq7kfz+BF9LC2qCKqbmBF37ltIG5ILZG3z+WMkXkT1jxouVj1ZGqIaLEFqtOssbi5T4Y31QtyhmDEaYMe3Yhkav2XrAkLV+eSOTBPMjyQ2hreNqqdbMh5LjgyO+BTyoiefBJPItXDPrLsyQiDJbWicxrRHX3vUyUOnhzdK6yiviVcdTE9zMlkPdTBEaUVN3RNM+oclFXViqU3yV011O1RYWlz8DfkuiU+bHsQ1JZCektD5F4vyJLp7uS/FdXzY2tDu6fI9t2xlO5y3pbTFzJgpqcznTcuTBV8c1vacj8GSxgjlTQmtNq/Or5M8qHBfS5Up1hdFnoKijiV/6tuEbIqURd9RCKp6SNJ3kuZETqxlS5GMvzZI0qQ3yPlUFh9xzyR7N2j66f5FTV3OD/AIiiiq9rdjdWm97mwv8AYyPhuY8D27ad2XU22x8XZarF5IaJTN/E4tdK4f1KlZOLtiELb2LrBBPLXyv2NzcCqY9JZYpPnWV+x3v/ABVbX+VFD/VrtCcs3fpwUNq0wnBVweyIoUumLDbrTrnHgrbpdMRHk/8AjiWKI+RUyp7DsMfy6WVKimJf8ijiF2zPLueCYjmph88NWFSunKk+RX559uCGbKkN9/7m6/q8j22c95HS361eUWuihtG/rEaJLqcT/U5IMXIMFuSmhdytx11a0apW54OyXjXb79yrVFy3IvZ3bZtglrOj+SZ/px3NlNMsynMQ57FdNPBssHqo/noZ5G5vBG8nkqrav0L8i2xPX4L2T1ZPuY18DJX7GCHjuSqt1pSpu2VTwaqaX1ZunAqla/QvxJomUmsMpp5Z8nX8EUrkS8jRI120xIvS/kyxwOfbjmyR1/ZKK9rXWDZ+pUm1f/8ACqqLqfU+htpuomehDIuVKLoUl2Z1ajTHI9GOpOzFc9V+wuWdGuaR80tlT0Q9L+5dn1GR0znBChfGnyP1XWSh8Kpp9Sp1ORVJwuV25LiKhn1E+3CftXwQse+4HfWJuYMkNyiKfpfXSZIjmjmqN1Ncvq9USSiULlgl9fbtojJn3JME/wBj6VOuSGYHolrGl0W5bqZZOmNGidJ78ske4xe9jnwYPyJbrkyO5Gi53HTS6Eu4quw110XuU82efA+edIS0XJ5LIwIgu4I3olkrXOkLIt1Lau3V8G5PK0ujA0Lmel/an2YdakszJnmuzJjTI+5uuXMF0PZSXcjfcVxX5t3U21bYat3gSp+lRCPkqSVlafJG6NUPkmohKFzwR7bPpeRSi/PZF9bs3JW7lsaWRE9TbTV86XQ2mROObd+oVNuE+pXtqlN95JWOgqeHk8i5psS/YbePex7l0mXq64RdQWqT+GSpJMXZchUlTbzrjSXpTTO2IjvYuj0uEzbQvV0OG8brEdGOOV8i5cELVL2o96SCaeHQn3gmC7La45MaynhYIP8A6lLQrWpZBeqeSTGt+n7N+1nW2iLaNdRT1E59q9O7yy6X4HGGLiRZu4uIlaLfkqQhR10bI1x7a9lj53rnnyK3U2qRzWXMz7N0JTBTTlf8lVXSIF40ubhuDJfTpqv2L997YnyVKpbHg+pipsU1Uq5dQKxZc6TTR1K004IbmMFdFStY9LhUi3DqeEylqmVBEatOmeZP7E3NUzZlHDqrTq62LKwy1Ezzx4k6Kex3tIpVj8E3E5ONWvU6WvT3I2VcOsvokvfQtY66L9jBGnyN1L1M9NK0UTApJVdiWzOmBOqpJdj6q/wO3wbOpt3QeqGXcfJ6Zcu9iYLarlX7H1OCaHK99R0LVNOTh0cBppK7aI4t6lmCpU02HVWWI1Qp0lXMjoqtKs1Yh8Rt5pqOHXPyWFJSvGkCcliO37JaMqdOSP01Z33L/YhQly7qnYX/AHKb+eW3J0IR6q9si2vIiMUjJeuNds/+sSak9P8Aybal/wCR0vqJzJf8Cf8AYhQvkh9MkL33zLSN2dcmdNrrv2VymmnhVNL+rp8m79OX3d+e5YuzcepJnpGnrYvyoyRN4G5HGaWU1Kq3UWmJYrtie6JNq02r9kvBNJdDRYvrMDvA6VMrNtG2yeViUvIkWGjN4uVwsGYLklmZ1+mTsiqp9oHfqOpXTOLTmmqGvln4Epbfkdi9NjsK3XSWJL21zP51ktqtMlzJXrfkkd4FbJui5/qZUn1NzMaWXJul/A6YhCglYX+4o+q7MXHAyN1yq6gV7EtW7nYv7LtqvnmqWjI5p3a+C9RbknTBYgbKWJQTzSQ8yOkpinLgVfVDifJ3fQzZE7R028G6PBRTMJZNt/BD9l+5JFKvrAyVJLEIvVaOnQcS+S5DLVc2S/LdjgUCe4dj0QNvPUa/hEx0MH1WklVyuxuE7/OilCMmeSrkXxrchocXXI7XI5ZnSdEkh+dfkSopJqquJJaX9mWyp7UJxZrB+bC7j7dyehKRDtJ9VxwZv10i5LZ3IktfSzM8mSYEo5GVepOMkrX1cOme5NFKkjrrjTJeplyP4ZeiWtbrBYdzxoo08auBTqoIE5JGyH1ekIto/JYl9y/UxbsJdiw1tYmhNcibMDsTrkyXwOC58aQT15L6K4tqPB5ebFnOiaI6l2QqYHPNckjR+CDAy+v08mC7nxBjyetRLGf+SEv7kbrEJ/wK+uSx9JgwMyZMaXLafJCcCnmkgzrBuWmBazzt9CW1LHJM8klLjIyXrczgzIvmW4HDLuyLD/3HNV+6L1Oe4t0v8mHfTOlk0ZzpdRfBDWmByfQKLf2L1rsWfLA2+S5tnBOq7Fl7GSRJssyCJMm1rRLTJ6aT/gt10v8Ags7jW78EIvUyrpB9R6SKqm38CW0d/wAa3rgVy9RDrknc1BG9q/ctU9HHe4rEz7OSxeoyRyRz9NbFmPuYLDJLk7jJ4ES3pdjLDuRpGnn40kuL0yYGedLsTk7H+xHWSLPF1pZF+SWMb78y5I68r0nTI1ytEMfk+B3MEtfwfS4MytLaeB7XpdzyR/cfrM/k/wDIjzpc+RzcyXxzZHkSJelkY0RZaOOez9i/LdCT0yT10iNEo/OttI1jS5fkqvnS+kIkW2yLssxVaS9X7uPYuZ58GBJLS9I5Q3Gm3Gl9LF88ubltbGyBsjSLxpflnS/s40idXUsa51u9ME9yyHNMaWL64L0yYWt6ixY+oyXRHJG1FhmSW9H6i7PpIS53blXLnXIpPQXFHNkxJjlyIsfUZ5M6ZMkMYuXJfmuiy0nW+mUW0wJc+LE8ltbaxzyRBYRMkyY0gj3EYLj6ESW5rEtmRTOufdfurmyZM+/VquRmDB9KLL2f/8QAKREAAgICAgEEAgIDAQEAAAAAAAECEQMQEiExBBMgIjJBFFAwM0BCI//aAAgBAwEBBQH+3ir2jG0Or5s91f2l6Ss4MqnXWsb7nPsjGDX9mhQTUVWpcb3EUqk+LcMMa/sfrrjIim1GjpEuFaUexwY7Txyyyj/ZIU5VHK0Y53KRJWUziyOPpQRRkxWY1OEf6pR6jGx2iV/HiuDlahjt8FCWS+cEkZXDjif36GzvXP8Aqm7OXUUmcJyI+mRwJRbFwGJtFkMlEncslijJlNqXRgusicSGT6xHD+qQsRFxjJZ4nv0smRyFKjtnDrohx4z7IR+zpL/51ji3PLGSeFk1BRik1z+sJ5K/rKJMRJO4xbHFoerZHLJJT5J+ceXgpvkQRxuHDjHEvq8jT/quL1GDHBnGMFGppQ7yR61QvxxupNfdJIUu/EiLtxVKSjf9VFs4oU2hTsa6gdn1bnGNqPck0okT98rZPxydYZW3Ki/6N/GiiMLPbKGjES8Rk4vkmOIsMWSdN/ZRVS4ke8bRCDajj7eHtQSkx/0b+CEiMBIoWMeFHt8XRJCENEkKDqEe/bqMIGSqihHJcOUuTK/oUVuihEUhKFdUlqyh9CatqO1TfBt8YxcZNtY2TXfgcvraZJK3BuP/AGUVqtI/TFqhIWoUVEtJqjkrl0tMTFBUcSPHmvGSM5ZfbkNSSaVWd1Cq/wCpLTKGumJH6ZWkjjuNX9Um1bdEt2WmNGOUeLYpOvDjPv3YxPdtTzTZFSY4lWY4/X/lRXwTLEKI49cBRKOJxOBWo47EsfJ8KlSf6TP3x6QzsVjRcheErU1S5JixxEhQiZEqxQQ8kF/y0IjHrgOJWkQFutVtkZuJ70xPu3r9EVajRKKvi740JrjKcqlCl4X6jJcXCpLI0LK2e7IeRUsjG3f/ACUJC1LVFC+S+Si2Rx9PGme2KCIxGjgRiium1ypGSXXKyApl2pJ1JtCa4v8A5khIQ2Keq1RXzfxxONFFbS2ziPom1fG0/T5Iq7I9CnQ4KTUY010V/wAaIpFayCIvr/DfyjEToUyyy2JnI5ljZlkKZGVL3JN9p8u5dkJySt2iZX/AojQtIWpI4C/y3rGtMRQ2UxMlaTzWRmhyJNORf0wyTk4Y+Xsw48Cu1KKF2ZGrv/OiK6kihCrbRXxsvVlll/CyEjkORHm2oSKp8ojfc5yt2mp92T6ShKUo+kzVg9NFQ/jrk8calOKHL7cW3wkcZJxja+SKHpHE4iiKAkcTgSWo/DicRIf+SzB9p+3FGe4kPUkstlErRLs4uQ7uL+2Ttwf2/kZFL+RYsirkx+ZTTMbR7mNRy5ExSfzSP1LUUJdcRRK3Q0e2JaSH8G9P/Gm016uQ8imOKIUPLUsk2zyk6H+UH95P7ihzI4I10lN9X2h9NvVaoQ9IiihxFAURfFfKx6okyzkWP/MmxOM1pRnJyTUmqH5RGXFrJ3zMs+o2yG0vjRxEhERpFaXyb3ZyFYtMnuy/86dCmpC8t9Rkzkj/AMiTKGxkFRx0hFHF6QkUJFfFfCy9PVifaHIskx/8Vax+myzI+jqE8ajL2YM/jzOHEQix0L8ltkSyWKJKAoi/wJll/BMlLTIifUjkOQxIoe6K/wANCj3j9LjRlwYHFet4kvVz4ubuMx5JV2PzQz9Ssg+lRfclZ4OQ5FFfGhI4jW7LEyyyy9qQ9LF1PDKhsvWPFKbj6Iz4uI18kRwyaj6Njw4oRjNwyQm5xy8XK01wZSRfVI/UZDIolFkMdRn0JsUhu38K2tI5En87+Ni7IxR6TEuM1DhLFb/jIXpYHsxIQoeSjLBTU8Vk8bW0j+DNk8TxS/mJJepbJScjijnKIiMLfDqcXcMUmfxZjuEnFa5K04kppJNSOAlRT0oDiVpi1ZZyH/lxwMeL7yyJHdUymfri2cZIkrUJNOcUTwqSl6ejB6eVwWFrLLJ7cY4JRywimvJzHbP1GdEcsGPgRbLcV3en2NskyKFQxUPzyL0zhJnCQoDxjjWrEUcR/ChrWKFi9OqjBRWPwvtOTIzSJ+OSMf4zyqJF2ZlU8fcfB0ZodLPJqc7lzIwwSPaiLEyXpp0h9kYIpEyMpIjKEk49x0yuq7iLwdLVMoRQpIckc0ciXZ7I13DFJjwTJXEbs9uQ9JopM49+nwri6JpslH64aM0snH02P1EZ58/15yMWU9R6b3XgwzxmSbnDBLkm++iV8JzayUKDk4+kyJ44pNSgnkXOOWDhNM5sc2Y8U5ji7UXcyL+0nUk0WJo61RWlI5XpljkxDZzo93ox5opP1ETLJSKITSWVp6RyFIwS+j1P8PTp+0TdKTblU6XNSxSsY4Jr03UL7ZL8Jxcp4fRTHkw43zjKMyHO/sZscij3FLHigh+mckvSxQ8EWfxII/ixMuGV+HFpr98hP4eNLscOnFlCxnDoQ3q9NlSZ7THhZ4LInpV/83+VE/wwf6mZe14FyRHmorp8kX1idkWPw/wbqcvV5qWRtxbpIoURxiyWONwwRZHHGEeRyOQ3IXIa+uWOMSS2hMe7MbOaJTRyFkZy1eo4z2kkkjjA4IyKovMSlbIyPSSuHChmV1jwZHKPuxtW3kJcrhYn1P8AHFKSh6WRFC8Z5pRlJti845CkhzPdZ7jIzo99IeeTXvqvdOcmf+lOR784KU3J6ZR2P4pl6iT6V6shNjm67uGJ6yS69qLJ4q0j02WnGVpnqZJY/Typ5G45VkiZcqRLJJkc0kLOqlJzgl/84TcJQkpRlkhFeo9Q8jirccNk8LQm0cnami0Ux9aToasgmV9skVGVj8aVEFG5RVqKPDfwW0TFGz22URaETcUo5yWXp5HJ+4xzsekzB6po9y1nm5zxdSmk5ZsbcZeWIhjcozVQ9zXp75eqWsK7xpVmSHG28fUoUYSupiL1HxQ8UpCwIeBE4VKMGezI4taY/jSrbIiUWsmONcBOhsS7knXwrWD8vMZ41fHv73jaa9RH/wC7iynXpqWLPJVxFEwxSPUP7EJUR9RRPPZGXapqUU0lQpExtogrI4mUISOiTVS+zx4qJUlkFDucaFtFF7WkKRLtaZEcum+0YopnswqcKTRCAvwa64scRdH55Mg/xg6gRgcTweocXJ7YiM2hT6shGx4xemic4wE7G0TmkKZLKh5GYpEJpqSsytqSyEpWfsnFLSScXhZTK3YmzvbES8EPN0Y85PLYhEfwQ0hpt5PrHEu8i7k+1BoSIiMnUNNCIxseFlCsgme5xPdHmke62LIkTyW2JnR+35hkaFnkZOxFdCGz9xbR7jHJPSVk4tbTG1RWpajHvJhkkoNIxxt0K+NdjomkxfVySagqK0u9eo/Ao4lGLolJU/MV3HpTZfdMrsaaO4xUW0M8nt0cTiPqXJlbbovreL8svGpVbF5a6K6JRdUY13kyLimqn+UYdJKor6vpy8FO2kOEapMo40IieoVxIk9tlFMSme25KKo5K5PtMipXXNZFGJQvKSRPkljaJdDhb4JFbl4XhllkST2vh9SKUozglJeZDkLzhSZyjcfGRDzdpqSsfmbk2mxs5C/L9T7i/I9LUc8UoZ2hZMhU3JwZGFr2bb9NJEsfEfJHepFSS5ykQlFHNaY3tKzjxbP0XuitrUZuI3bH2KGsU3UbuPiROPcLi6pnHTIyQhMq45I1LXErVF0KRydym5KGaSX8hnuSbslkZy6EyWRs8HN3yORJl7xvicrkyumvhyEPE1HSGWWI5FW8WKoqL5R6RkoknU598kWhySTyEZWfqIjN+T0tPUhIVH71CdKmOLtQx1NY9LVHKi4mSVlaRLzFfZo/WmRVkoURJZbgLT+EMM5EMSiVRXaLJouo5YNlzS5NE5NkCMBRFqb+3wZekhoQsUm8mOMUhTdPNcdMRZ5Eh2yhFEfH7j5likvji6l6hpi2tWLWODlKK4xh9pMerJMcu27UoqpRKIrtCP3+pav5JmPNxJZrlPNOY4tbpD8pDT2pNHZb1FFC8LyvPvfR/BD1+tsWvSQ6yOxJRTK0yiTRL8mZWormzBlixoT1/wCW9PV7Rwkz25CxyPZkTi717M2Y8dGSiU/ghosh5tH70mPtEUNavX6GJnE4tGGHJrpKKvV6rTY0olnqV1aMKbnF6ol+LZfxhCxYooikOIkcoJSpv2UQxQLRks4jXe0PUTkR33uJVko1rwWWfpGNGTJZ6aP1vbZemMbopybJwbT9Im8MFEpbl+L+UZUe8LIz3erkNsUj3R5HaysnmbItNTXxdlC1Hwcnz3EhRkdy4jfwoU6jFXKK4xIjZyLLG9SOyMTyRVDjp6Y/JRW4wscNQQy9whZ7RKCpRkhyHuitLVFiiPzxs4tEH25UNiY/l6f/AGX3yE9L8i2XrmkPMhZEzkrsTdE2c2S/HXBjVbg2U2e2KqlpPULtujnEc4kn2rHGRGDbcHHTZBMcS6McOZJU/wBvoYvyl4/SGXpi6G7PTL7yYpGN9H/t7zTOQnqyOQU4lqsjMeObPbY8aIwVtJKUbHHUOnzHNl64EIO5tI5E5OlZVnEjcT3E1zqTbke0cO8a64D7IS4uTfPj3NUWLy9t7736eNRyeY+Y9HIkMTsbpTl2LdnIWV1y7wSjU5K55RZGSysUyUhMTE0TekyLbJXu7EimtORFu6RHySiR6LH4g/tknOT70xbb0hn6MMHKSRPynTjLqzJMmul4yjT1WpLTFqHhyb+aZy1ZYmz3EX3wkJJDkhsbElpyFMjMtE5nMm05R0p2JSrSQ9fpD1FWenjUSflrttolkmzBBrI6Y+lKxs/ZYxiWki6Vlll/GtKLPbOAxXblJpSkNasTESelI5MbORYqLKP0fuT7Yh/D08eUowSGTXbfbZFEUtSMiJ+V5QkPXhLzEn5+UV3HGqljFiI4zgiWNE4asT03pab+UlbS0mNu9t2fpi1GNvBCiiRImxkbIjZ0S8PyhC8PUtIkrfE4HErVC84vHFFItDyIeVE5IkLcUSihr4Ioo4n7KInTbfVUrIqzySXWsMORDHxLFImT1EiiWp+JeVEQkPsa6q1FCLLL+KI5aP5B7xKY3teXSkU7UhsTZfwT3bPekjk69xkWr/fdeTui9LzgdK2XbbJPpu2mQ1MoaJr7Y+4tU4rprtjVNef0vhZa/wAHRemWXRUpnFrSXwsvU43GPp4FIaErFaUbKVzXT0oqkraVF2mWSkT/AC8mN9DVoZk/2QdJu2mNjbQqagu5fjuijiVvs5Fl7SGih2xSmSk2IjRRjSMkTgzicB0JjoaYpdLvVMdlMpiIfmchjZJiFTI9MXihmb/Y2WKWpL6xIE/wUZMcJJ/Ba4jK+FEfBaTXspTOJyRGNuGJHSfTJUlKXfuD/KmcS0JEPN6Z23KLWsMbnN0KVjJeJaU6IyTRDxrOvu9ISJL6QEdNUojtv4RjKT4zOTLL2kcdNW6FBtofhRSInujnYshKbfwfm9KW1FDda7EpNwj7cJzdp9LxMlpoxtoTMev1n0kVpEPMIkl0zie2ODKZHDkaivbjPLN/KDRKRy02JtCfctW9PfErS8vy+mtIuheXZdmCKUck+sMLGrmvEh/BGOXb8mdfVHgUhPX/ALhIlNUoplI6OKJRJsvtxGymyt3pHhPykcSVnAUUPyoixo4IaGUjokh9yql5UTl2qbZipvJNJX7hc+OGLQ302P4IxfkMy/imeUk7ghj/ACchMU6PcYpHuDlZWmih9MfwRbGLzyJPuyUxMizmjmhyGN/SurZ+lTJUjqvAvMvy5yRKcWYPb4zyRIz65FiaY9Wjl1hn9tZV9SIhDff74orVCRR3qy9S8J7ekWXprS6GJlnIsvVngXkUXx/SO2M/cqYoUY45IObE+uQmWNjkWWQdy1k8CEPa8ImdFl6XYkqlxQ7KE5Da09PrSvVvVj+C+H6rXKQkmNdIdai6OScYqNLGOkUdo+x2zsrWH/bqZPqfIixyJSyKUMti8JMlF0ftUSOVHKxy75HJEpqnGUmvGuLYopLmJ/Dr4IvVn77PBSpIXlwK7qVy4jLo9x3+1R+qbOJxKRxR6eH3ilxdE54ycftQmWdE8LIyknAy+oxQM2VtwzSTjJDsW4xJIssd6sTZJMSPG7+EUiSW0xHJWWUJDQl2uihiorSbG3XI5sUnfTEjHOiXqU45vVZmZHMxSlZxY4opHaE2Obr22z2h4WY4uOr6sst65ap6ZF6RxYkSfx5M5Pc4Ul8E+iuziUraHEdo6vsdaS0pSFIscjhBlRYsRxSHaOymcTxpeRPs5obELb8xR0Pzr3ELdFD+VDprquArKR+k+0rH1r9poSOmUUcENUUdHQ13xGtdlvTGhlosViZdl99nGRTHWo6rtvTemhQEKNixnBDgS+fE7PBSo6GqfKy+xyEx+5UXI7u3ZTOJ9Tih0IVFQblFFFFSKdfrica0od1RR0USRxKWr1JidlkYtkcR7XSwSuOGiqJsnMv/AAcVqkOVLtlHgReu7GkxCLReqTKK6rvulVppnkS3aLQ2Jj70h+Xp+Ri04kYiwO4Y0lXwmTHplP4PSY+jpkqExeKKeuJ3Va42OCHFkbu2WxctOxXr90V3RQ2UOIijj3xovq7OyhlFCRRhx2VSckPMe6RmKRkl1KQlqxy0nqhsjIk7PBIsscmc2NqrdNxrobOYuxHDsuhsihHRWr2xoQxp6Yy9dWkPD0oEMKHiFj7x0lORkntMUmPtSiMSKKKK1Y9I/ckitxj3KI+WrekxIQ2y9dCOXdop1xEhMtFo5avVbbPIokMaqdEcZ0jkqlIeaiWVv4RfcRE4WOBxKHrkWUKCOIo6k9U9JjfbkWIbErH0KTFJUnFvo4RYoUOJT10OZZaOhUdDbOReuDKYnRyoWel7zZHOieaz3JEeyVDL1YmRkRkckMY5Dfwt67EmeC+xDKHqtR7K3ZFHRxEmSZDfJIdCR0UiqEcdJl64Iafwek2WSXwQoyO0c2ciTKY1pCOPxaR4IkkhlF6a03vizkWR0o9tMTZJstlsUhNlMQy/hZzFMYkNdKJ7Mhxa1Y9RjZDEionFGXiJl6b3Ev5S8Q0/gtPzXUUitoQl1IRkElSS0heRi09P5Y9ZvI94y2WyUnTfYtPS3//EACoRAAEDAwQBBAMBAAMAAAAAAAEAESEQIDECMEBQURJBYXEiMmCBkbHB/9oACAEDAQY/Af7uKZ77Cl+yf+Ba8WN1eaza4ysSgsohOnU9jmjkowvKl7JCKB+FmjVnrZNMKbsUx7VjClNQsiyx2wqAyPmp7FwsLKzYUEyc1PZwKfkoNT9UGr4U0dD57bKjFBTULQ3+9yVCkLMIoz2OLsKaEOsqaYp/nbRsCuOqlZ3g1I61kVmjJr2q9cdZnYirJlmmVIdFsUz107T0KM2f990wRYixxTPceVlFN3n0VK/ZZ7LNje1DVgjGQgSJZEyFmoWFPVMSsL1AqbijX9ihZjrXWKZo1grCdB1HbsmhNT/KfFh7SaFFYUXjs4CDmVKg0Z89w+rU6HsyGn0NRyXPUu17AbGFJUp8pzRhnqSSjXCxVxm7OlMWUaaTRno6mkIfkmPRgJh7U8rFIUhfKd/tRg1nSG+VGlj9LUxBZCSCo1Pf+ShMjNo3McDCwsLVqQFIFYX5EKC6+0dJphGVCJJ/yn7FRR7sr5tFuOODXSFqRGgT5ROowm96MhOEfyRhPTKNWCerApqYp8JqOhzxZ92ipthfkYo4smjFBtE+SpNc9GVp+qMi2WQcymJdOKOtf3XFGekWSoFIu8qHfkPsFBG4rWD4WoVO8Vn6KZ1Cc9B9oJ182+o/5R04Kkr4vi2KxfHKYp18BBMn8WQgPYI9qKvQtUFMODjocWBYU1JQoQbY231JhpisHoxcOBjpBZFspqE+ccVyAn4Q2gmsF0hM8b+DQ6SVmrr3K9L1YaQXWnjMyI2W4LegIwF+yMp6YhBZukrF7b72tYY5HxQpqjZdDZfgabIU8J1hBzfjfbYxf8oKeH4X7PQrHECG292LTvYTsEynhNvumQuYBAUNGwVHDwj6hwTxITmgKyg3RYU8iaFOmZt/PDzvgbY7MWndzxsbH/iIJ47bOOHO2CMqeG6fqgp9qTwWG6+9A3yWqyI4GU55uVn+LyyzxzsjosbXv0cqN3KkBAhYQ3iOjxt+ayFmguFr7J5+Nh9kffGhTwSdS/FSmG3hHY+uEbM3QsHbxtnazvi40N2FOqfCzyWvwnIp6j2jVFsBZ9qME+2eEOIzJ0bGtZ5XnaE1P1cN3HGNBVnqT7leoNtD742OcxFPZHY02GxwvG9Ns8YQhaYrCxUGrOjNo8pqSo1FlJT3YrnpGsITeqEJKY9Zmw1824uyhtuyPKjflC3FXvzZmmNzHAfZzaawNnFcLCeP+F7dP+vIbq8qN7HW52j/AG+axXKzZi7HaZ/iZ/n/AP/EACsQAQADAAICAgICAgEFAQEAAAEAESExQVFhEHGBkaGxIMHRMEBQYOHx8P/aAAgBAQABPxD/ANlsiBh8uk9/FScTLnMIMqHxfxcW4pItpcd+BQWEUkS//ZVqOwjoiwZsix8OCCIqoicQQcjqEUXcS7mtkqnPxM5cw7DChd8n/sqDE9RVagkjshCWS8Pfxq3wAphTJWDHZTPhKl6kiqBzLjBhNqmNN+pU1/8AYT5YfAXCYYJcz90bFETVFPEsQ2KzYkDfhmJDq5vcolCS3Bx1Iwtt9f8Ar9f4sPktIQcyAiXHRYq2LuVi4LnCTCEEg38sI6hqwCUk4hQytKy9nP8A2O41D5wRFVABGCRRitLogBY1P8Fj5MODZaazUKcz2wciXBrOHbE/9iWq5qXal+01fNhC5J2j1E2EqhU0Bh8RZOHxGowAVjWfCDhwIBsFVOCyELwYs4xtOP8A6mv+C/N/9B47xLRsyzusINSkJu0p/iaI5PM0jdLqcbBtR4qXpOaBXwMJwnTKAOcwAARNQIxZRW7g2B251PMUNaaf+mV/hcI/B8Pym4f9KiBzyTH4vnB6dxoO5U3d5UHxuW7yENS2qviCwiojyQ+BL2K1hQg1lZXzGy7GedgIZh9tlf8ApFf5XGKJfipUPhyjNGWXX/T7DGJYGATpqyz1AUgGrwgm8+YaEpqBFwjfzEdx8nxPIZXukrc+DZzjqEgAi1bgf/Tj4bQK/wAbLZbqKdaMVqaWKCA4KiPOuj/oqE6VW6qJxyKV1F6GBYKD9TmvrmN+8/8ANTcLp2Mrwr2e2V8vlHRHeJe+JZ5gqOly1xTCssxH4AJYSk0Kx5f/AFGvhgPEWR1GTovTuLDYqlQDtwuHSSxUcLgrSrW/4KeZf+CCVKQ48vJBHEXsDRLGLX47jxQUlkqcGPVMuT9OEp6RFeGwIeGXMOyL1kpCLIy2AY/aPznOpYqWkfiEbhZJVBWV/wCpbu0RVwAATC9ZF67vOiQWcD3LkKXkbPnj4QpZySBQsqDuuctItUSRhy3BPhIxAI9P7k5NA+RqHG+4Ytq/6lAqI69WZwxoQKh3Hw6l3ovBN9b2UZABuVzpXth0jS1iVJHjb3/6mxgPmI+SLdkvlniFOYFZFItrLxHU1kXIogaRothRZewu1w+a+HCIlD5LI0KBjzENkdUeYlEFdhieUuromWDYcja7GJEgt7jF5ktXZLSdpL0/7yv/ABa/9a4lNCxDTiNu3LNEAGlMF1EWXUtVSJpBintBoCuYHwQEGyDbE66Yoq1XtjNy/wBuIWlS4yqtyWbuGZeIsCIcQIWaEBSoPT0RWiDWRyyOv7ycrzUpM4nxaZ/9rX/lj/o0J4jDt5WkDRi5SDGyCFA9TiiBVdRlxBAbtiai3SogXD7KgWFeFIhu5UVtiawAm8lz7ix62PhA68zcHzjVYA8CAgM4A0/h5lweYbTiM9xFEtI5uDUa6wwOrkjg3/2h/wCQuXFl/B8H/QWIMpKyvgHwNWKldPiUQhE7REb+HwvgV0xsG/uIgxBIBRBkqcQQDikXQygzpHpb3BIC7Y9R3G223LNTxsfznL5OgmB4QF0SEDkYwOupyjxLDPASo7Hxcs/9Bf8ABYsGEv8A6LGXB+H4gQI0xTKtJAt2uV2S3OB14ghbNHwnc258BCz4PhxjUeQs/ELygjDZE5NJZHCARDCXUKCZD9NTDxLGFeIGsSoxCiTwscyq1wwANUPOx+SjF/8AiK/7hfkjH5P8r/wYy/gYvwMAmwLxlu+SHOZbsMCUIpxAo7+AZG1NzEjk7i+CvnBItjmRVPdHfT8JajfUL6p/SHt1laJZjEYSFpiVLkIGTOLevuO9r3+0ogcal9L5Zmlez/0BjB+WPwf4MWXB+WPwZCWXOEKIwpL4j5Kc8wlmBemMbCuT1RU2coOHxApGFEiHMRSF8QB+Y6fD4W5qpJab193FxQw+4pVb8v8AqUMDX7zZ3AGaVsjrXs76SeZeSUk4iUXCpa77hWuP/QGJK+GLLhKlfFxYsuD8XGLLhMEYkhdSBWR/qUkWHgdS4U7EIYqjIuJpiek2VFqEByXMMrikPmOjy1Em/wAfzQimUsRls4ZR6e68pxFr3oeCcYWZysrfRJTueYgHZHUzfs6JdLu9eVQJbtfEUGplGMZaf/P18V8rF+B8V8rFlwgi4sUZLQT7y6lkmiI2yNTnEuAkUVfHwR8YfcbSHywzdRHunkgeQ+JCOi0hFS8nP+G/zKbjLqZe06YF64T27YiEjoCUgxUnuAnlJx64S/o4gWnBhD9RXLmwkrENX/oF+bjjr/GY/BYsPkH4YE9/xSWjYwJcoYBAYyhuNiK2DYC8wSi2IH4iDB+YLtZHFfo39kHEE5hvLLiAl7TkyWCnkiVE6Q6AyjzENbqrLNuXEsUeZehyXCl1SvklF5QDwEDschVgppF1jmVjmDQ3Wxr8Oh/50+WLGH4e4UXy/wCCwSfCwARdCCZfHMVq4qNi+ZZqVG4ZN+BqFXDrmE3aFRLV5Elr0jg1MOFCnkgHba8wu8welnNcP2QvuvYcM4Ayz2wyiJ2VX1KM2HHZeIxgjg7lAKUNzSVbR3PSL0IwyqaJUEKnC33ddxtK3o3R1cZamnUIC4lQiV8JRyI4wHQyyYjWyCtTpDNONzhcb0/89cY/Ey1+EU/xEX8j8a/hako7iPDGmscYiCUm1YpYPici15r4naMyVmuRy2HMAAxhzVOPrqXaMGOOy/5xkFejpFWtJSNGAmVHkNfGp9TuI/Etay1phMrhxNdk7a/qWTtabmwt6F85LYL0w/cOvE18zbs4qUBgD9FiQuisiUG/1Zb4aqNNKce4ipuwl9Evls0v/Kl/Fy4P+F/LFB+SR/40XEgi+BqwzuWXFscYn0MKiOVU8wYI9u4ZBd6i5O0q2YcFeIh/+6ojylwpOaBhotyGFJYA0nJA6OdkFqKGMBmkeIDdME/fMouQXBuMNUwFqcsGY3GZtX0zOVfUvfEOFBH3BouMAbBwOsCo1tIdxKhbGwXY8B7ZX/GuAQ72BgT8RV71jAhTwWcVg6hhc7VWv5oJY00dMA2LGef/AI25cuXLly/i4sWXBg/C/A/CxzEOAqHwDH4h+C44pTGQCsXbIdT9KNjIpzk7qHErJOoEBp7Ys1vVSzgDWtlsWoYzlH4JYOCOFasUvKmva0C4QGm1We0hhggEW0s2dSU5aqdIaAAxliCJB7AifYqoIpJxV0fXU1XjVrEeyDQJrKe695d45y9wtRG0uIJiqHC0uNj5N5i/F8kRsYxiGrkPUAxqtUoHhlU4t2xcwc7DLVdXm3aJYnii4JstuVK/ctK4JhmmY+x+8BQq3sI0RxuZfgjCvR/4x+Fgy5fwuXFjCy4/BP8ACLi+R40sPgcfBh/xXalFtltIAKLjIrd8QfSe5UG4cyh5JdkNeCWibaeqBhC8ANFLal7pdFG3RDs0o8uwtBp44S90CFNTkL5gZHmV8l2kgVbx8AobdyDiBMYSRElbvlinJFPf4qCKc91/qUg0DimBlpeUS+AidFARMBAoOjhGXlRfiPIVDRjzSPKR5CgUOzHkuUJbNqB/SL+uqpCEt4ymjLdRhXJYrIYPLd+LwvJAi0dn3B3/AG1qeKmzgZ/4O/l+D/Biy/i4vwGXF8j/AIMD4CCHfiyZeCMbUT8BKRaZXK/DYQS4VfjQRFGHWAx6tehU0DUfgKS49LszlzncKcuepxZdFC6WFQe17tteCJNmp5RVlBhK+5XJGCpxboRIqB6b7kYUf9hnENBbVr0QSUHAVsNXe05kElxk3OgPKODQl3n4ILadbIJ7UrN15iKB2WRlXgol9y8F2qmALQ4TgBr0ajqgOP6UqpFrp6hAssXTDdsXEYpZWNMLl+zF95Dvy40H2kK2l6Hf3dQ/8Cw+X4P8GMuXL+IgZcWOJgTX/Ar8FQgmDKIpZafA/HX4ncz3C/cCmDEY5gxCumtPohKovexzwEUtSxvZonU/9MsJpTXq4vEDuHIbkzVIiWO8IrHiIlE8+u5Y6OQ7qW4WQQMJeBESMDqFtGGOXRKJWkNgFNhAQkaWMvGNMbql3JjITtXRFsFApQWlECJzZDFJDwEB696lrDQoIQCbAEHQZb1bKq2BmHoI4GHh8PSR3r7Op5eSShzCiq2kOyS/gzXd0eYUrxHa2EZC+YbuSoCrH0EJguAG9P8AwDFlw+X4PlYsUuXH4fL5DGcYaELo/kwvgRwqhKy8YkIRLt+KVFTK5TtCRCAXYmHMozLI3IrUrJeGZXKJUEWVOUDgf7lVYQPMFm8AC5SNipU802D71C0wW5FTcazRafYjacJuq4mHkTTIJFcGENxwIMsgH4AqWKSAeUfg5IvARw9Cn8EYRuO5+ow32t305ABdp3EYZDxfM5ki9qubQYCGlWWKBcoUzqK60qIyKlpd3nYC8oTvX0VyxVzSrEEcl7Sa16VQ6dXBhtV4/wDAMWDD5WXD4Yv8RFjzEiEYV8dxssRfGMP5UnGYMRWCmVo+NPyFZDRuowuy/ma8xzzNGKxIJsJ17gTRQ4Ysij1C0b9p7xws4+LPognBxeU09kSPmGlGUfwxs2brgKqQUbWK+OP7MGHYV6IS42OY17la5l4GQ6AzqzNFaldIvuV03ECjYieJf2QjSQ5C1zAxWNo0P3AAl/YTYyz/ABHKTBA6LdBUog8QaQSmqjJSrSPtWxm7zfEcrHjhFtgfeQYkt+3pLiRyvsh/Y8hDUmwO0VVw63k/75PhjBilxYvkXF+V7hI/CfA+BHWYgIKlEDNPhM5gRJCl0JlKJTDIFwaPKg1LxjYVY0jjKaShkgPFL2xsvWxSmo8uxy0tMQXXN10wBrUNc/z5JunsufN8zEaCAqzyRQ5Rzpmgq9EbSqllX4ZigMIuHb9iELMV5hFJRBveQDQHdTJKhZZfwQoIK157Xpli4VCGxFC0v4HmxdDtivIOLzUUBrBGgx7gxsq/mRFb7S3xG05RcswLNPcWlqTHyRlbiMMKkuLhSWYAd8xFtgPcOzgqd2uF3KkT5g0tFDEYEoNSnELDjhAJ+pWW39DuPfrO0bSrJUxUJTdy4IpA/wC/Y/BU/MYXyCL/AMTkkXCVkoiRPiQlQgR+QfinknsjsvDfwIlREhQqGeZ50vZnGRQipyqAfllTgXrGcPKpraFXNDKpiNUgA12rTP8AZGBaua9yUzQYg2g4x4ZUr11ary8AdqFT45ANB++yKJkWj1dYMCaVgVsIQa6JbFWU+zUIh8obWPJUfIlvK+bqPEtFdkqv0YzMB9c5xKY8JNROXmPiFLjlSw0mGR/J1ahRUT+rVXOynKX5Kh/VgdIMQWHEPROR5D3qHQ5M8XDEeYeYMDgPTjnbloCjfnav5hX+Gq8IQxi0vsZ24to09kQOCBgIC0MKLwYfR1EEA4gImT6CwgI364v/ALy5cv4fgINQi/g8y34SGHKvgFQI8wH4azmMW/BnxafBaniFo1PisfACobgIZLYiIWMQjsHZsC1LxSXLBbULxLdxSDKK4mdD4penZLHhDcdwvV6MohHWfbu1YPUPfvSsHh15ENIDg5F1DB/iPV0CxtKj4GsHaTGjTogVgfeVFx3zGRTp3FztFAx3GKF1bKOufyTshoJ4GDeelqBu2OZJ4SbslorYSoeRXGl3k5tD7ReXmBpBKu3BlMadLt3AHoyNqXwSw6xizm/o5H0lUd0LBBYAO4ir0Gk07zzFq0Lq48DkM5jpN94I22v19xKUXuDqOgIA1CYiysCy9XbNnWR9k8wGHf34lOgAH3EPOJ/AoE5GLrsMZgNIBRy5XGSs/wC6f8x8a/wJGYfhZAPgreYCMsdxUl/fxHEQK+EKmsWPGzOJcfjuIt+dEfaXE1jgh5hQIcy5bKEffpP/AFhnhL/Q2BNNvQStqZLyo/E/5TiHZodO0f7y91pyBpfLk2iun/5YQibdwxKbgRTzCgaABODo8kfhRC9MERSkB4Dl6fTDal1qsPT3HaY/E5YSLUZzXcU4ncyizeX1WW7kozXYOp6qLHoEOFoe4z4au1mpe1LQKbHRIzCh7K9DKtVeOWhQfFVF00GImxVg0/TA20Aado5ZiaUw16YxKtY8yh3qVDZ194HBGNn1A5PtAdBLDyhaSWL1HuTAP2H0znk3IHVeKJ4ISJFkiJf/AHly4MuXGCMWTlMIxcK/kZMpuPcfaWnMRmfxlOWWxlo1zpisXfiMPhGGvjthZO9Hqr+EM3lruN22BlQqxPmGnMuumFWwQxyD7Xl1viorA2V5z38RYUWLbrxlQTfU525/QjkLtQyjcFeFQCOEzRFRQVWx0hsEKgEbIgq9pThw6irbfDDUQ1s85xzWQ0UMRcDl2ncQWEVQHZVJd4va42mZfH3KCUynBcX7e2VwiBSj7o4gh7ZN7zvl4nn9gzxFrBQp9a1F1YhCFGl9SgWi/wCojJcK/YOKlJ9QNWFERhhr4Swd8HzL+vPf3Ax3Vcy7qZJZZ3OKai+zUIuSPxTX8y9gF4jRCG/7tjGX8jD8ByLsz+VLOHx0dzeXxogysSj4rp7IguIl41LYmO2GpaoJ3NH/AARMGzhMIkcWPc9kr5heZS8/Gycy8YuYvQNDAypM0Ebj+79olH3XZ/ZHRWYz+6WH2fshYY8RTBAZKSWJa45dQSBUY6ZTKy0hJSDRVj99sWQVS+G3aThBUqGqMsiwUgrZTmCVBtQ7BgcD4PofVRVuN2KwSLzySucNgdDrX0aemMJY1taUEC5tJoV9vVylUEAK3ogb+sPLWC6umV4qt0Vq545lBRi9ByhdStxO/wCyCuwXTKlSOW2EsnKHOmkiN88m38y1I9ro/wC8YxY/Csv8MIoqYH4M1lNkd4gYcGHriVQnzLg3ieVBe/hdHdcz1hCJW4mMvPwsxiPNB+EtS4VOwV1qXsphV5g0uF0zZi1ixEjqk3wLBuIQaEtUTccnDKQqWDw/8MdgopGLwps9MM8StgBBd/ArfMQxWx8FgXtXguHt0HsOAwULuBPyNeoygwiYqsXyJUAQ6PDTcNzk3UWNTospAn6qUwREsorqJZAfxsfpmWLC608uOETLigpqoscyz5Yy/U28fmkIbCcIQtZvM0L08MhzH0lRWwsbo7fS/mBSGyZasKihgcbcq4ImkUvXQUNMFhNqJd0s4eiFU5//ALx+RivwJUNQR1OErII9l+WTZpKNIaZB6RaYJQQLqMdww2KhU5+FfMz2Qv3GcoiPtdxUjNnogBd+Ir3B5uWz3TBg+ZjLlvcaAwl8y8jABS43CitziAyuRlBABC0UkaKCoJ6CAEQRgTWDauJKzvEoAK8MeB7CMH436jA55poIQ9ZBIKGgucE+4QwbhoTyYC2ieP5ZhSIry1mtevUuqpr20jDYyoaXwxUauW2YDx4QKWjwvImn0ypatdhOL6T+ZwtJ4XeWxQAdl4xRQ3YBtuaI4jDcDkxNSvaOSQSso6Sbw7K/I2tzID7E8AHMbfRtA/EeIlgQaRpY+gZBp5xq73uAHqdt/wC8YxlRggKlx/CxH+OzoZlzFw09kuCMAOI9SpCI66HV1AKtDI8ZQ1lwpZVEI7gO0faOwhROvxYw5SuPtCvcG7dlfcPm/hDfjY5haSFZUlx+BcRlCzCi2EGo4kIIJYjCyL5vk8woW+Vhc+QdruAoz0LDU2YSj1vqFVlsDyqqanH0bRFYogDwRI4VzNHISlG0JdpJ+IXXD7uBKWN4amdRRY9wZgLE93EW1RlxTrJDmUXXECGSlvAt9kJMm7XYaxgQrwgGINo8oDPDKxA6aG0h58gJ3rSAP2RnNfV5LWK7045ZV/oiFQceCOtkVxXZdvbZv0EZR55S037TIPDDiOcerg0vC17jR28pggqJkUdAefv/ALK/8blwfli/BrAyssikXwIxBVHttlVCvmC0uL24NYSPjrhVcTGBQ3M/wVr7HeUF7l05ixNuVRQ5h7yyIDDtj9MQiBzFdzSCPF1K4og9oLKk9WUw5d+Li1IQIucLjqUPRGG4jYkmtAv7/UuEjw/iBCgpeX7luEe3UT1f49OqPU4VXHGQaeJCrG+PYwpLSdlS/wBOIupL2fS9MWl2or9eoqcRjTsKIdIkAPO5+IpIinQgzNYVeIuRp7Zt4qiWuFFxwiVG1ZCbBwLuUlB5SnTghyegMuWmRzta3oKcIsraoVxbpsyAPhoWwAM4dSZVLT9fEr1zQ8po9QUGEx9ATpwq0OAgvqCX0WLzXokSO1V913EbASn9Cy1NoWBnZpNHB/2LLg/L8j8XGMUqZ94ReRI2+LhMC/hvAIj3FEZTQsK4T1CPUquGjKWDIIlgCZe/DS5h03mIYhLIiAnuheZbexSO3Uv5ns+BfHbLC7DzQKmHMWuYRRC1IVGQgZ8ZVJbzmKMDEAMGOYreDlWAr6cp0YtcTdrJfC90XDboosGYLRXGyqNTLCnt78hgUBT23uN8xarjbLNbKOFyy1g2nFkLcE6SG7UKN+4pbHBF4gJb5EqvugHBxAoMVRrgO9jyFdrzu5sperpXaflMEKyFeCvyRcBMrkeWzlCJrXQrKeofSBdD9SUCTj6PCHRr52Na5+ajngdFXuymsGg9Bpsf2wN1OXKCSqiH6IWflncHKHhu2c9jBo7+43XHeyc/qAgsASoHd9vmK7K3iWU3UXV/9gsWLCD4FlxYMv4v4VSsY7lswiXMHwPPiV2IYCQVfImvGcU48jFi7DEv0FytlTNE3qFjLsEINcxp3GAyme2bcwU516+N94m5xj+YtOY0zixNibuRxU6iMUmwwoGiVighFYs7BibDWdzcAO24BTWd8xgPs+ACKXOHA3tlbqjrc/Z1AYJFrC8Y+S4jXKWPwkPMynQ8Q2qwdUROBvC1ej+xMuC/IaELRoOgr0w5xZLhI9JJ4V8D1DPxWgFaPgylsP5DKnC74H9Vw/yATJzwvb+hihN23z/xgykAkt+bB7KLL/fo6L6IaeQsgaS+RzULjFH7iosF2h5miV5iKTCPZQuXAudVkSmaC1jsdS12Irrmc7CDd65CPoEFci9XUrQN8aQtFaqu1z/1Ll/JcX5BB/gxFy5fxWypRZ2jgplEuLU5IkDs25yBwlLlh1RanMTOx3Zc2BGlwCRmDWIDRVU/aUBkFGBNinjCPXMJxGtiXFjKCUulqHC45u4qFiF+5jBlQzaVMB5gY7lpZ2MSmzuIWr4GKNlIENiR863k/wDyLyldN3BnV3wn+uzw6kElCElLaj3R6qQ1nmR+k0lu3Qx1GZ9KRaA2NI9JCZoNfZm6/wCrhSHFI6x/oqV/17erEQJVq3FOUOogBqDeRFDQCB33vzBWXfxiCrz9B/GDPKXMtUrnftBWsVLPtFIE79Q0Qy1txkz0SAoKNIYDZoU5/pJLbS4DdeEfEuDupczVwACJZcbhsRa8xtb9WwDysZb4dJjvQTsVANdG/cGDxFy1k/6bFi+Ekh+IgS0FMRFwsQkk+b19y4ZmK6gJzBqDUTEgYmsBfh3RX4+UF0uPGVsDpSmOkftiDGoIGndHl/EVeJldS5QNx6x+ImKJyRhqdJjarfgrQt8oFLCOOZUsXGXJ3HicuYJOB6iBblMUagIPk1r49y8gk6eajUqoKrLwUD00hAkqoDRyLSoB9XN7Kh8MMAxNVfcJ+5Cru3VxnNqEF0F79WQsG3ErdX8Ak8e1/CJ/+AGHGvUKU0L0pb9Q9NLgfkI1fbgCQvdo+Ie5+/k8VIJBJFrL6AYCqVBZc9I6DoQYFM8LeMjrkujSAV7ymioEVhxCVHi7byyuqji5TdzXZO7Qt+BctRAkw8jG6xn8pCzF8RDwPB3DMtCBrXMY0zv3ybEOCDW5+T5v/FYx/BR8JeOyIMZNfFVy+aJPgjUoaGXC3N5SRAFgpC0dS6VJUMcuRcqQY7EdRgzBmrcflBcw4nOTlhg+soSJtAnCR+J1A+L3w40HpnsnQwEouyqZZkwq5jltx1VY6jFrmOl9kdocUkOk+yw1NLtEysDMlRDwCUjw8Q04Iw7LW0eVgEF4Iwed6saOj+5HUCkrsUBjXTCiKYBl45FZ5/7yOwzQdfIn+mPoH5N0frhlpv8A+LLo47+UPReuB7ZsD2bAD6FLWW25r47Q5habtOI09BalNj+YeCpnhcBhpAFFrH1AvgwkR1dX4PdRsi5La3uU+SaWw+4m1hrlFiYB/ESuRAOxJavtCphuksvHTKP5hjv4pGgWRwWOSjzF1DUfuiUgYPuQuNHAX+uIsY11HZvUgrZLzO1as+bgy5cuXLixf8DggTuKo7IEGQzgxx+dQQxzPIgo0x3OARXexll/KUhsy5lV5hOUsYAMKakoZPtGE5MliB1XMRgAyG8IN7lLxA8TbTmUsZWLXcoD41XzO0uJmeG40RUsR2JTGw2WGRfMyhk5dhZiIqUNGDSU9iBAwwwinDGLzxeI1Ap8ygrjjClT2+IlGtS8XVYIreXVXZ4SXyjLYsf8ylA4VC9l9P4/DwwBF4m/iI+RjQ9BzxRUofYmRaI4ivJ7VwXk0C1jA5b8XqTRSmOaCFiu2PKxJRsmnzxc+UUwE6PuVtnNA9ORYlDpjo49uvqXysKq4Sfk2BeNpi05ydReIXFR9nJFmlUHQhVg+Vgg+y2NSt6UOlBZcNxiJdTRL7nmi6rbQg7ncDhhNatrg9sGQA8sleOMsgZq9wFaeMo8a0cJFvpKjFCLlsuDLixfIVTkjrmakvCEIr4cX4xGUCXdyodnvl97GXn4qhjuLcaoh3KOI5pndQRfUuCVEVNjWEWXqIdy0OAWiIiJUi25WKQckaXHyyhieY00nnSXnY9+42GcEdrvwrH4GMUg0mUWo9sYD5+K8jZcgCyxaMwrw3EBdCVBKOdpekt5SLag7kCfPaDMFVR+UJpDkee5mo3didRrCHF1Ba+vHCaCC206XuMZXfF7D9Uo/ccsuQ6ruXxzZS+ZQ8Owq4L5FX02CR2vrrr+o5+VPy46HQb8SWXCANNVQOUfliwm00z/APsI1CsQeoYezof2S+DhFRxlKYLT30GtvqNP0t81AlXOmbLyRFuoKhosMsB0XGB7FLUHuKgQxqiH93PGdPTFfFq0NVf0dEOJw6PA7n0aaIWB8yoaPhglMPgkF4MX4KfhvI0UpZYIdEfgBaW3MIqS2A8zzoqOMTXMKW9y1wJlEm8qeYEIuCm7h0hGUZlYxj4evMAaWHXM98tQYTlGbtg27G5HbJgzaHeQA3fxmQp+N6ly3K1kZmXbEeY2eYY5ixYxy5gELOZYfCFIlsqpSUiKFGvcvSLshkAvDl+vHHJXSfUeCDnED1uqYhOtZOyLxx5WboUhAXkCVoiQTV+IjVUEr8Q4HtIjJHiiXHCj56Qi7I4wUqib8a3kqQUf+fJ/tGK90fbs6Q0H7yMt4HvUhLasUzFp/Enwgtm4Vf8AqEHgt0p4R7GMnOV+N6jB5sCwFPH3xcTkRCnruZ4o0DU2MIRCENnh7kb0vEGY9AWCRYxUtyvIPRL+1TSZ/wBMTUggCfUpzzFE4zBYhP2ZF0sW+NjGo/E0YEIfmVExYzOH46CPkgVzONG8UMe7FCIiknMISUxYyuCgYePlziVMkEhwn4wDmWqS+WC8IAykZDI0LcYuWSLYh5+METOAuoqwMPJjSatojMYaJQdR1CCH8OkG34BLCSXZ2lxPCjjxHjnulEKFHCDKncMpcRlrEfmKpcK+P3RXoDuD0RrJ1qKfUzEThYusWZBiusW0cIykxAvIeDzL1s5ghQfxB5lYMuuG/OVFbW/jMCOs15RBtx8uj7d0Q3hyBqzshDVEdceeJ7hj8B/cNuJYRGdVcG33p/TELQNoUGYoD3R4fzOcwBPbFjjWeUcSOHkS6Jomq39SIKSNMorbhuWA7hgy8V8cK+2eUlvVay6+yAxpGw8QxQzD3kF3Zv7iBLRi5fwGOXphNHyVEWx1Ap8RYidpljLckGBXMDz8dLFxpcPxqsUF8JjmAcpmH4A8wiJTmMcYLDe5kSlQwq5lpHjLxYUGXz9RUhpcJznZfdhL2JPPxDnJQwbgJzDtUGfCmeY75jXKvithCAQHPxLIMjly0KkHzGuDXMAOSeyFJ0Q25YxCOvhQBqCIKhJtbdTjtgu5SoXG8a5egOdpl94lTYw/NfBDew8FCAD1ZEvKSLaKV4cpGHkT5MrqW3x6oV/DMStItCKW1rwvZDuxuT0c77qEfkfKUVti9RMPEdquCOObvgH7/HlCus4ij+/IwjKUSudBjo4SmAT00vp4imlOxFykvuX2C3fcXoIUkC9Hbcig7HkYj8r+kOnQzjaI+Dl/ctnbeyssRVVzkRFvJL0QggHEJPxSJnOVGEolT8RqWfCnIMwwqKYwJL72JaXGnti1LWXbAxlfw3MBrj4QiAOIxmDs6hjSJHYRr5lPcKuYMZcx2BzZpA4QJzABKyaOyotwfMEi3l1GyuNgBIAeY8DXcDNlFjcvNYFtlaiHlyN1m4YUR3FGaKC+LbQhj4D8y4huckaMzH+FavjDWD8x0C1DgvNilPyoSq7FrRArMW8iOIogtUDtPqUNVtGVmyGiVaupqRRUxTwWwZ1GIt7AeBO7gKMJa48SCk0iyA63pqaX8rDe/wAejjA1n4qpA1Y4LhPYouqy7fAkd/VFcdFAiySqHxXasP7P5INFAHMi1fSRGEM6hF/Tp/sqOSdDwSPQga3snJb3ZnCWPWKvHLMFViXtXcsBsmwWFZ+UI6yU/tXK1xBdIbGo8ZZ4YFYp7lz4VKXwkUj/AIHrjEHmWfGhS6MwatZ303bHV2IHY7l0CCKWNUlxcrUIXGPibsdJRgEKGDGrsbJTlGDCSiGWy8LlyqOpi3xGAfGt68ZK7KEs9k07DdRqalx9j1e05cujkB5mbTC/mdk/4KTHcWPMvmEbkN3ADA1BWMRBmCWEJJdK+oEYQgCr8So7/wADbuKKNaVdDDZcdvcQAKXEvR6KdRZofj9NxR5IhlS5wtRMg2f2wRPWr11AHRcFiNjb2U/+82ZyDpLQdZ3kry177eo7toj2grLvFU+tyU9JQMJByMzUR21VI+Rhmuh08Sg4bZ65P8RYQAYPBQf2RBgTBZT5hFX+9BR8Anpz5X9EJVeAxul7K3nFOiGrkwXLIdtqIxNhJbSNTXKxHsuG0IKQ4f4cSaw7mk9k9sBixEZabEBzHSEAUu7yCln4hFhdw8bA1KfiIH4K38qpUH49XVlCAhnxOZVGtsKuzcJUISVDWe+IIwi/tKCmIWogxLFRaHRfManEVDB9/AXY8FSMwMNaWuCEfJe/Uqhn54lF7I1uF3KcmMtiqwUoJwkNvfwFPhoYEOI/ACNlmLFx2YbByCg7i5EPJ8Jbq8TnNSpDHqUYGPeiR+N0yv8ATrsNPaHQf8TK4ynO9A8kaELGL2hPHX4ZSF50WIc/kZBBGlXyH8hkD9SE28iHDbA0KjBaRhbhLXJLrb1AYKpfJ/mNjUZqgwVBaLbOTyT0RMfeOzuUogySLY8/SAbLjUk5GFJzODMlcgkwwATspjljXmD2iJgwKiw7AVHupftyhbL0r8aVs2QY9th8T2QYX7nuhTD4hy/uO38IYEgAVcfNFITKhmM4V5KDGV1i7bHXLklzLAltURyoalNssOy8mxgA7LZXyRSg2kQlE8SWmSpXLqN8YC5q4wpSNjOJAHuwfYdTWO1MEZlx478ppcTDZ9ePjdzKpRIRcww+C8+FLWbdQXqCFIk1UE0ES6IbUuiooYOa6wWAI1yQnWkNOU1csAHRnnkhguXLsGcggQV4G1A/gMUyQ0XSK5rKeWs/BaBvXsO6vw2SytAsNIVxNxyPNq2i4fst4o29FnZ7ZvDlGhD53yLq38BKLsNQ6I+Q5DJYXkpzKUcJKoVKw5hYh6IdMI15uMBvwwFzQ7g1LAc46xLnZxHctOZi7MHZY43aC8peS7zLzZScytVxG1g3AQknTmAdyuCU2FDmP5l17LogGCx+palYIO9ZeBcfJKLlAkKdjnmVKvgKapTCRs1qnxKHYpyiLXCTUEqyG0KpUgVXAhEaQRSWmWsvFyhDkgG6JcHtfxqzyQFSpQC0drL2WGQGLPN2RWHcYTODNRWQzyomJ1VFUEUl07Vz8L5dHJeEBMOiyMTJRqfDQGL1g1h2QnNpmNj+WQmHVdOZ9H0olLZSxxKGTicVBB/ctnqauWHGo8xd0Igca4glQALtW1nJdM8xrAlvyZ9HRjcoe9lV/QBGYfs56x/Qzw9RABgwdhYpDDkQ8kkFX7ZXmth4gHH4Kzqk0nq4qtPRUuZ7TeWYBAEDmrqKeHA+XaoWR0reqlbPaN/gj71YLpALjFvD91ENC4ZiHhiIYUrhHF9JfKLCXMpJhjHvMCdl6yqXuNW4GB7ygqIljPwo7cd4RQjDEPh2q5ROZY8xyIe57Ja1cBVxU7C8JpCHfZYIROSKKCxdjlolvjBADOYl9ZBWMcsZvoItH8wBZArmWAq//wAqOCzNFUwTwUuXQli+Jk1iUseQI/iTIUKSgSKZ8wAAn3gPczKHEuYB7lJEX14prkP9oCiCdVCxxboXsPR8IlgS9PlAVAlFxkDAjIvwLEuKqC6IikU0LRG2QOKXEnIE2HESg4QDuL08Q4LnVWa8xcsydCSsWWLHzkfeqGquBOCX/UZiTNc9zahKMSXUNYnT9j2X2StsRXlGJ74sSAc1+m4zurf0YVKLKy7iPqoQLEkdrV+6Udei757ELZv++pOdLIu1LtUxCwLuEUF8XUXvMPirMobm4KqeLNjK1xUby6EqGboyztYYUK6ED+hpW2+UVL2jx3LBwIfjIBMpG2PZeQX3eogawgyO9+Pdj6Ty4iuYa0RIVFMsZKWjFEI4+MowR3KJc7gDzKgXgB6CAHmB5hvKWmMuOYbBHcpGeVgLzA3rOJ8IO46UmIKsKMoRFza2JJbEA4oirawidkKINEmC+dqIIfCweXw8MGnIotU1Dy6U8RAlUCePD9wIySBWY26YW2VqPMzYHMsS/X66+gjGwsnQ0/trCQGHFvbfq2PCajYJtnpe3mLmsCDgLb9BrHJp30B4L7fM0jUrY6hAwB+FKjK+Dl+C7Zlr7MOlkzMlziDhE81KIIUK8HiBdvuFDbBZ5cYIbQO4JXwbEUwEeFxIJjkwjpdKX4iq1JW/hQMHBMUansNvvqHku62DGi7I7VZHeE/Q4xnNBa8876MZRRHJ6JFyQz6KjkLpj0NRpApTZPPoH2QooqbOzUCwLZOS4n7ZbGpv0hBasG4A8tbwnKZSB7NYjRklwxUDNky47hH5EcDWLkMK1OfLXO8jVjqKA4ilTWX4RSZ/AspAEAYys1Fr4OEogxhHdAtQDuHayhDEznLTZz78NTBHmWOYGbA9zqwHNy8nsZY/S/UpeY3LuInPcsKlWHLAQkVksOYcEWJj2gqePzXUuMvOTVVFqvVXLj8Zth8D0xoG3rieanNJCHVeJli1iu1PR0Q6dF4a6Lgd2lFgX4+5YCpVPZEmux7q6lRCfZAKXORKlCaCNozy0qvPiZBylmx1K3JDKVax4EdApmMqcY3EfV0Ut9I4JNbmA1QeDljjQCmq6nBNO2Eibql/kO3ZmsAUsTcGKGVPgIHDOySxHUC8IqrisPZBK4/YYpfaeLJvwroKmGwJVNvmI/VlqICBdzsbEAteZTffMhgb7YIyC4ln7ojyPkj3FidKvolBQAimpfUQNFQXz2mXacV1MO70IJa3mtqVJDz2FcJD9KPZAUPrBnhVdt7fsktbOjkK2v8AxxBtqBbkbKuHE4P7D7JYxrWW6JkEIEblhFEUAliOcMZvpB2OY+ulrF04jDvI8QY4bNuoqUweQ8XLBTNzQ5S4QqKuIpiHcfCLBs0SipisrMIOxE2MczCExq/gC+YMGwCLGUKPtKzmIR1pqLGV+MolwG5nlTLWH2xe0deZYQNlpeGuaimSmFiIE90LB+Fw7KUGoaFZatDdj4JFi7bfLPKDByrHhC42o2xAHpGGh+dqqJwQ8chg4KN6I+kl2noPrF8SX6JAUPpu7gIR6GCgoeapGahadhVoXwULvurz19QC5Apf5S+XJukp90QqdMkP0EFkA3RA0ku0t/BKUm3AQEaDdDm+/LH9KltX9FlxW+G3qVRcXqM1wXCrBZwOwGXhZaRfVqH3BQBnlHj2XglUrEc/gSyod8VZ/wDUfUNjFzJdsg6wglTRzKBKTZavBCidj7lZaO4eY34nUbOOc2CZUwIDdFwo08sBeTU1K2yhc278EsQmqu6jkALDmvJL+dLfMf2qw+Nl2rjp2ReLLf8A/h75GLVCWRPZHE5yvuYsXueekgy2KW2BBK3wC6I6jGaABPJDKEQTI1hCBCLhGglMJcUvYpi2g8zlyrj+C+PUSQukLaft4hltCsd3YY0Wq5DZT6QwqqrgSxGD6cSVvlm2onEWV8Q88nrmXCBAqWFwslwEEgknug0Qb5hjGD2mUcsUvYa8wExdlJpUunvaojDYufikUEARkjp+AeDvmIsFVXFTxCIIQhO1RpCxWNh7sx1qiKPpsYAHlFfi8TK3sUJy91QxMUBq5EwLyBs++4PtA1LL7ofolYl86ErxP7h7QXJWqb8xzUgNkHRvgy8AVoB17+43RfG3hGStK3xLVA+0kzdVyi6gDtu9EMfLAVbPjwEGbGto8UBMRPnAqCC77e1Dw/t/5pnoeVF9FglwjSt9iXIbeGWi1cyII0pP06lCX9sxas+wt9XipwgTFpBw6VS3KckSioncMciUwqQm88jdRl6KQOGuDBhi6RyOWIZewrGffRVvEJWG6Lh+i4YCD+gWiId4OPtKgw1E93WQ4RvGH9F1hFwwW2qyptcyuziod+147Rr7LGAm+GJDVgeopHuPkgZ3yQgFMsYJBqRbYFuQRLC0vgYh4BH7JuDoH0zqYXhgBtmwd3UARMwgWRoNYzofKVs4kBvVn+5qubhEquN6WElRVImlxZAPhKLEhq6idgUyvPwAEWTGWABCUQw5gxYOYoeZTm5efhALGQtTWK+SKl3wrw4t4jhiHB8emKEplhBxc/LOzuBQHvNg866AImgAYdt4Lv7NsFhHz0X5oqUlUi0PxoB5fLU/LyYPNLoeiXxI4bXwm881suEE8B+tQJXR4DmCa+CJ6FNwGrFrriHkjrirm/L5QLOF7X/E5O00QkNA74HzH3a5S66PvyzkneNBT8sc0AQDn402CZ2IIs9DYRgobs6PI3zKEpBcLNHwcwWQcDflLUmulwoqZJFwwW2uUd+tJZigPs8UUkykuXvf4YQpHJhgchxAbVm54Gy7l42wO1tBa4Axx/rUTyehAzFBKe5S1SAXrLX4APLKzK9WpADyIQeRXTqpiX1ESp9SD7tK7tsQ4qVmx44npAsrTqWMKuoCOA3AE6GodXSWYwZBtUFRmVloQfPMPMj8mOmz9pDVqyi8xaW85nOYLovsIsqKgW45Y2SMVZxsc+Yw4+HHlJO1x4IZ709AUbvnC/INl+A6PUZ1fItDgiyx6cn/ACM8sgYzIbmFE0aNa0drA/SLbuy37LgYtCJRWD3RMczX+JzY/wArZsDGf1bAHMHSJL8swI3QnG8j6S4iCg6CI3Y6nY94FhoJVUywJOoKQXce1SacQ0bIyQLgCPMl53+AgC4CoVI5LECQZb3CYWZXzmAls08zpo2cQ+NHcjQ3LrbjYZyhwIOlaxBEjzAyaBYnJWyvZYa301/lLjqVNHkviQi4zQNCcg6Eo8yJjs5XV+oJ+4TxlQaCCBooJaw1DL4GhZiqp65g3N2nEBhtxuWMAC8DgkJF1AM6ssHjRb6HMFrk7cH7IxzJYBkYCBw7BWBZKayfwUsLhYsvkII6Sm38s1lAVofBHKUV1bqFXPum5oOmMVGeCj/MFIQgsAv02NpIl9B4EOTKzXk2tt1bzGJFaDFeRF5UQRnYL1L2Ff4ibS4D39sucAeRYPQDCB4bC8nWfaRPW7YTQ4kJ3epZ9BQa7AzutTQaT0VICOzy2VcWIXcLUNadHVYCozMUFAnH0Jl93bEpC/HFku8sI3nkX3CFMNRxICMDl4JqZVRIGC7iC8JUm6zc8xifsLOCblsK8StbGsNHo7fKM8/eT7bMdGbVv3ZzG76/ZliFPO0Cy11L5w3oj+T0dsbVGeEcSWHO45RCreTon6Ei1NBykYxtWCcwQiK/KKGW6F+YPvuNBno47P5l659vUpIkYkO1f0CUo0afBRyMJn1ghXJvkLDkHoqCg/bGTQsCbrk4JYiXFN0WzibzKYNZAbFIHawKy0D0k2VmE+IMXQTDOtHwbmzYhVuUxqEdHxdUq8wfTCDSjaMtDqAOGMFbEn0+AIOI7FSlh4jDtKcMokzG7BF4dpKorPOvpAfwxsfdWhR4o0JSrykIy1OOkxhJt9tC/q0CmgGH8E1EjqgfuNL0vciN9Rlx/AYRbe4slN1dGmCWrhtV1M91WBg4Or2YGIhWir7pR+JeyxuZ/mM1U8KwrQ9x5h7xQXm43Sxq/UG1FAgG3ELA3PNxQ6uXq/QhFNW+S9Y/oHVREq8Q6uMw5tUC3Qx8ieI9hTkuh68k1bgF0byPjyMCjk0vLFDWOkownVKkujQXg16IaMKYkq2b5QElRF/lcJ4RJSyNXVKd1zGoKNvp8JiZ97n2o23UOcJp5ElyxRxwZYu81XErP4R5bIUFw5xa4wDqUeSrVE2wAVM59PmQYJwDugDkPjeY4E8l8BR59iJyAmgTZyvEJolWsy8WUhybyCwAp42KOwoQDfbAhbEPxjscQGbb5RGpBg1YJYmBgbJYSAoIrKALPo1Az5ehM7amcrhSZ3nUM/0zepJyQ4ZhLIq7eGWhP1Ilf2S74ArnWrRrJZEzB1qUsHELNLt1GcGkiGQtJ8kPSH9xIFRPPdcsZ003ndVEdVsSmmLzrqPLUF+GYAuKDw5TARbHf2XaBpT8QlJq+xcIdhj4heyA5L0XmiMxyj4Zbqwy2Fydq+5WjZEosi5IPLlQYTUKIQ8tRd8zhlbGUlEmKi4HSCtnHv4hCBLkBQIssRI7iPjniJK+ALPs83VfuJpdqkv0sJeHHB6hd1EVUFAEOrjoQC3PdP7jBrdNQe1HUFit4Ve3liWlte7+bjYVMPpcJUqCzNv5iGi/MBvm1xkTWhXXVRgomjdlmKc9a31FQuJ9kHCAo6L59Eey3scgdS/jq+1eaiB249X5iSNZDCbHOTslZjsGBEPFIoyHrdr4eH6iPHYDdfhg026YmyBo0SHOIe6fR4pwkSwM3ZcG+W82AfYiiOVUb6ysOjaeE6Tp9kCjfVgn67gbIIpI9Up/ccMjVCfYzata70TDppVkJVKkWC5cpOB2D1GIFf5W7v3DJsx5Wt9U/SFoHZxAWmohnQdi+JVDjGuUIeqKBVjStAwWF4Sm7IOddLjqBdSLUkmj01A4MCHnz9RDEFJwtOIRZ55g0GeGOtsJhN+T2dPMG/L7pSIWupYWVAVYjyUxS2uwJ5GU0f25wB+RalmKXRw8yECSwrmFBIMOErRSIxPGQtjtC+4rwqBiPmoZhbyqxtbq8Uc7YKB3x51EKzdARAblgqZWbtXmeCt0RdYaHSyrqODQ1jZMktAAwCzuc5jE+BMTwTVqWFYxkEYRBN5ESQdSsArNjgFLIYTh0HkhDIC5WyDxP6nmhDmGGxg7AeU44YAFykK7lC7G7zCe4qsiRVR0SJhT1tS0oCt/oKUvGsBvnsuBeIcv4qDIayxUqczCDOg6IunLByOc5V7YXhOeV+WV7IANg9FDyv8Asq+u49Vl9nZ9x/uArAevcOVK5KfAfb0Sx8/HL6Hqu2OWQbA7FGLgkZ4rJAtI5LQ7YlpUdQTYKWJJ3R9SuVRluR/orqUOdhJ29deT9QHkp2CG25ZMvKo2m3gN4gkxLXlDG4+yFabpiYV4CNF4wosApWvBkF4CtPb+kadZf4CaQnqqDCDw8RWzBdj4M30kPLkSVxLo5LAsVLtnqosec6hsigpXoRqNSlhPEUti2n0dd/YcMEFE4GiNrlSnOsrozfMvpi6/LXzUE6jgZ9CvYgr8BA41xCMHI2NV7U24j3cbZiaMpi4MaYBKvUQZQ6zmGUMChg2gAIhoi3n3uBGblU3l6pYJQ3KcS5q2yPYv+yAE04YQWDoz85V1BbxFMrFUWcC2KorH+BKTNYfmpYk2YJXZu3OSwQjSbxGa9IE+yGB0jbypbNDl3glYmnIwqKo5mS4SCPEJpjyBwwxBqVE+kpLR0Lj60sKGbcsSGLjXgqU0EPhRijg/v7jxSNLJqCxhKXYwEyC2G2l8kKUq6ti5MSPRtI/n43xYtL4h6WzRkFYh+4YmLbaHapXUTrYilyCKUH8R7YL0H8ul3R7hvqHmN5QWPNTtCWusla1Sza9rxF5G2UlMFMqwWyodRPmvS9GamyRfYeCJu9kKDmcKR7DjZJ7j5HiDv5Q42qpY8LKiyQ5d34rxD/LoeYqlKvLEXmTeA85Ks+46Qf8AUsXuAqrwIWeHRtXpgXoMCQ+UrIHjIkpWc8MY0yga0nEPrtCj62XdL/HoIjaaJaZqn/hLWKDB9G34OyHCjppBV7eGVlyBSDnVOSbUjoRI7Ft/JAC28QGh7tVqDK1Zx/I6iF16ZrcSwaQKCxIeRxV6RdBc0Hfq7Q2+n0hK4hEl9WOdIp1XMHb0y0ncWKDpgpYnxGCcYIgubTNdzQ/vCOMcblPTUZPI+pH/ACTllUJ4bCmu6gTrHvbywsvfN8u2KhRoCiq0DpQsuomXF6Qw6FloXLeXgnrZVPQWIk1hi+3jHios3aefX5RHeBiDQCDq2RaUqH6rnHgZKHymsCbnV8xJKvTKIltQo7he6UqPxru/t+2bbVsc2WsDMqCLUlUQuaUw+4vSqogtDiGODaDCZh24JQl1TC2iUtTnekoIMEhRtnp1zgHkgUQ1LhQKRgsSm7LGqrD3CyncIxWRsNYPSK1eZhmWoGSmJkbdSRAAJB6i45cGyhPBOaYcLY6xFwfsQDG5Zz8XETJVdhAVgY7UOx1mEZgC0B2Y/wC42YBsP9w8eYSCcWo3Vf0RWV818Yv+ggjWuF39ErijH943q2E3iqpy4jIeoByevUe4pTsrB3KPn0Vo+1c+HRHQVa0ceWXRm5rRfgjfQ98XMtehciGwp5DJRuRzRB4+ClMU2rpcEGG6FpUEa1AGl9JAArSJPxpaiGaHl0pOBWsNNj6DYKRglaAQ+FLJfg7vAftKZmSJ2HH8PcK6mVmDGjpIpplgqEcPsISThdPqPAhEQfKL8G4+I5CAwt3DAxrYCNPETs5Jfi3qNn77hiSoUogFjLKRFAbFB3BQT7ZeIZkSL5j9gm8+mpS34EHnljHwV8vUBwEkMmKDasVgRUhACW3hLiwb2rnUqILsrt3PRyxjJom6clBepfDrf76myQUV+ROqYBAbA5tqAFBN+DPbywmlYoKh9TO2hkMYCIQsgaTCjZw79nDB5olTn4ji0Pc6odN/iWish7TfPMHO7WzAPEdOvuZ/varyn27FBANb2cnUzqUkKlYoaQAS1KmGBSw2ZKLIkYF1OTzQY9t4I1SLtYQ4xYcxzJFRq1xg13EDZEbxihBanYlDl8Off0H3EI5JhMqAyKzawiZqEJqI9zbqNd/UGlSUDA3RyFjUv9Cp+Yo2Fw9l1ZMmTKGa65o0/EKKpPyR6NPGiX2ElQTFfRAFAKZuc0kqxU75a2r6i3VOhedY8+JXVOqcO06JXm4w0tlHkItykfH3eeiFN1yfZ/BKDhd6F1+Bgx9SLW67loNAEq0iVR5CI/JCVFIMOWPJLOiadmMKYlrx4gyegLtYuls7aiqBypGUXWju4eb8Fiic6Xdnj8Q6FaHkgfpdUsLl2e88L2kUBq9Rv9SsdFl+Hsl8SVIhicBHjdl77sewTkp4aGMwK3DgKx7ylgEwOqtbA9BnhmhaJu12XgYpG6XV6Hwx8xWAdPrseyMKkBFgrxfXkiygJsySlL00E1mxZw9GoZsAUdsojYzg5EBXf0C4YDdujrxNgLcjnTgRapCL28ZRe/ZUFBlO2rA7g/TNYIdgBg3eUtC40ZzGpxepvkTgRnxLLpGWvLridYOgmX5BCTYgQ+1IPf65VPQ3VXbsSA4itFUgPQ19oA0f1Cm0sleSOnWxw4ICtwouKEoPKEgxrDXIm5KAwO5WEaK6ZxsOzYoCgRoQCMF3XS6IwdDddz+6pyMtHmM42Bz40lTqAORCpSxHmHIXYrU6RgSRgiXhyoWdjcGF3kYvaIyoKSxN2mGRtDekqKWIlTPGNbFXFFb3Fxu/jXAamvcrowCzBwVzDSr1BaIsIi+PUAIKwiu6hkUI34q49mxirrDNUYLZEDsdzh+5Z9buCS+fMH5iVRo2r20AIUIRkXxUZAeMN7V4PMA2yzbx7136gn8ef/oUCcAvqPHvdsatCACg/wCfD6nBR8MXB7XWHPhztGCDaLRV3zhDVDHih/qPDWAO17igu82x7fKxj+G0H764hlLj4CdtleWJ+/EPHSxITBkMkEIcDmguK1nZUHoviYY+DFUD5Y4+ZYhLXZQ/TOJXmwDtlJIb/wDxClQOHR8kC28Gv54R8kOQ1H2uvZCp4jLWf2Qsissrm1sPBVl90Yeepeoabz4J0nhhu9eLjTtWiS01Io5HuPFyplj2jVtdwNrVidBL2X0qRyrTmXqQ4ol2rtwwQek1IlCPZBu7AFXqgwDbneaCArU43+agtALAZYjhL9RhxvKX6mO6RxdXLru8+YPF0cCUyFpG/jSBlCE8HUuIF1Dlcr0ysAvSLCg+YIKfgDvqG0hjrGlCLTTUOBumh2TjHVA5h0rAu2HqCqtKnslaAPBK8niO72goC8S2xLx60K7vxEnXRSjbIdxSLQOVJLacgCm17vqW0sTcjmV3TA25s3iBaK2VzhGCaEotOiU0RgOSb5T2RyAXyEO5cwb+IL8ruA+TbA3bByKwwUqbhqiGVBFZpDVTuI3LUuDICBSKgpzHGBHAdh9QmENjBKj+7YQ09SxawRsJwMamrEaP8UbIVBsEa5lgYgoeSbe0Um34C4Mp43h6TI2QggBwfR5gFXGvI9S+6qTSp3R34nkQLbXoNcvqcOfbwNCdATawoeRe2W6CEDhzM7OGBcHoBVsVoorDA8ViF9Sz9oQmg5V2vLHV9cBy3/RBCOg+4r18FE4Q8CQiwFGE8M5gBWC/R2X5OmVW1juaLiLBt1TH49LgcRRVt0dwuLicNVhXoMYG+uqE3Kz6cyuMUbYD2QK70mhOlzmbaACB4TzBZrfyQP3bwfF/+JzdXqZ5eyamJIDKXD+ZfQoOhel29zUll1FeeggLI5Es8mywT7TKnngQFbCig7W+HYQvYQIQ9Qu44GgW0PcEt9rbvwEKb4EVRqyET3bgeR7GGhFxgvnjtgREW55IGiWcZNRCN/qADR7MFFvtIR4BBKhkT28L0rFtqvhosC2xdvgCN4m6dMU4vJ3OJWNM79uoHYqoHelBiGy8Th4c6nAIKN6Yj+lhsKjdl2y2tK0u8XxBJUNNFX0gWVRhudsrP9LeOpyGTmaXA6A0s/0g0HABAtIvSKSLGCQJ4cxUp3Eg6ckURDKjiLDKe4WYQJUVr2o4DA2GwQHT4BPxhqoi4WGZCyDUAASH26gaRZZe4olgg4yyQKEOKGpQUWyiiOUwOhN6ocgF8w6Uju/6n4KMZIU1Nwr2y4AR/Q4ilCZFXsuSJykpFiuZEs8Xd11tARXCUvAXx1CVisUFOr8SgJpGr66EvKJlhA66C9saCMDkK8g/qVDZbOdr9LGuQSK9tf1xClWBq4OmGIMkL8i7V1cp30IPM4ND+xATiAu9UevaAmsS4ToYO9QHJb5Hk+41DQm+7rgzuMWTe9uvgJUdG2lhqJaXkW6AQujMK4JI5HL/ACqI1CQatgcae4CNWA2q/QxrS0MlzRVC+agRKO0lHVQ78x5WTPqKkku1AYvwwDsbx7Ja9Cnj5fo2QhI0JXbeGGcuk7OmNIPWFvZQ8SlEfs+m9JRIvRuelzkwaXAGcsuUfDcFsHJfHajFFbiZHOZc3iYzSwjVIhQaWRl3kLVOmG2HHRGq/SuSXnfgZU0UOAD2x/MdxiUbWhwwq+yI/S38iNTYMaoMuyJTHBaUv0xVoDVkF6O4Fbm2kfcWoFuCofU5vBrd0Hc8gHEAfDq5rtbUeGFVQbjBP70Pe/iaB3op3bHR0BO6kMe3MCtOLDyyxk5OeNqyxmGp3DYStO0fbU5IlHqrcRTFaxYLAqECW5fJf5yXGFlE4RMis5KoPKwxSZiSg+r5gRA9kA3IVEPK1gDQImgEKSp8yOUbyOr8zVLhFMNIWFz9R2CXkKJ3EtFy2mehRj1g2FVLJRcTpBSwi1WpVQEEqszKMrMy6IhX6QD3IuRdktg2JlXF3FJoRmES1K5z2/tMIUA83EF4K81Bt7bRQHvqXSCyuAeC+iCQqAEQ835lEstsHz58wori7Cu+h9ERRFrWa6lO0APfMserl6XEMDQ7WKjzXUGEG9c7f9nghj7T1RqRo7T6gxu7APoNB6g1IqpZ7CdwGihStdy/2sERnjNWTX81KLBaQqxK/AKuq1yH0yiENVOW1XEqtqBR7A8VNX4UaP2dPTHmpTcqF+uomuFGlntIPuOsNzhf1GYogUvjO/CYwMFNXgRWxklgteXXf3BiFFVPBLlxNuKezNq2axo4TyTrVADxBKySC1uF9eZYxqoTpfDyUXDau9DkLXaeYratDrqJ4gDxEmS+k9LxFdNS4GUpPRVPDDDD33KBGL4f0yjb2cl+SCdVDdomK3T5IzPSVV8ErRAauBDHLVbyQaygS2uJhb5gZsHgQ3Z11A4TriWgqmruJ0NmIx/VyVToN8rO+ZZAFT/SihmHYKkemXkr5Ch05E1SOBl+MR6MRzL9ZqBlWB5aP5Jsld+wWv8AUtJkWLHQbUrwSkCc72KFyA5U4TiXBjb4Ea6gxpJjgB+Ki8PnGCKKeL5I0520IeMUVXwVwlFEDWSrljSwhtRw7+OMpLrjJJCNQNQlgOAofEtjDCbthaguLE0uUOANAwtVeVDDLOiZxChVMW8hx+LghSPIYNI6nGgZW9LzEIMowWUBCC+Ao8xXpeilngsG6Bm57dMQvyxI5wVgZyxq7ERfXk3EHK9igPL7YWQ9J5qF9+JjKgCdPbAYbPn0slp7Lv7tEEkXoVBmUc1QtVh2sSlEzrN3HBeBzywfhdhVtvbYtSxQGXrC9fC9y6DKWu4pCMI8DXYK3D9uWdleXwHE0mSpph/IxQULWwsupTUxMaEv+WEL33kdvPiGLoUPUroXsqfaouag00Dy5adrtA43DHfZcumjn6jDPWzcHDBOfWjgyiligGqkKIKiBzRx+4Q7qU35tdMZoIcwHd+SKFlg3OikLJdA9DhfcxZdzNNAYUsw5oVF2l9DLFl2MVrmFhaxcJlYgJEEwGa8QskhTiicEbjW/sj7wFv2eILoiteR6iAPLQpeVS02kOi+TmMoO1LKyoMVx3+Jak9nYlboR8mC6457X3/phEICqcy0ttqm84vK7iRjpLROoX15Y3+Q14I36IANUKN8MThLXdyl9rgvua0uot6MTYy59NwYdlwIBBwwz38zk1TA45LeuHgPz7UXi0L8wmajyo9RtrZApo+epxypxKFzdwaBEmXKg9IwLEuuFik3bgGGQhHEqG9Er7hC5i4pD1S5lSHTcr5EUi9GOSOy0yiPXfjs2S9iXi0YU8yoxTmBouriVokLQVRIJiyjjsKlGd5Stsiqy+1qJFNRHVS3Cy4xTtGK1l+4YTLNp47hNjCgOx/oZftp4F/RMMClz0GiFZrvCFLuHWLds+0NcFK+bbb+QgAR7B8mVLHh+35GLrGmv3HC1p1Z2n6iikCBb4IO5ntR+kiGiAnmKmDef5RNrVbHZUtVS8MsD9QGpiC10QuA4lLZrqLtOypJZ7y4DOdyGfma6bguULZYNGMMaRhvAb/TGahY+aDv+I0k0a6HYIxTCjHP9ktiL2TeKwfhmsHLuUHiE0xRuLCuZZiAa5ZWMBCkplFolrm6Tg6YGJE5IZxfMMybgMNPMJVO4XZ4qXvNwdeyIAlimnsTAzk9Rj5h0QtkMzCAWQOyHrl56fuWofMcMFal8x827KYTEH/8X1FqEP8AnikV+dJjbgQSP8rFGbocSA4Ned6TBKx+3pP4S5Ofa0uJh4R+yFgVME4/QQQCBgMSwvA2EI64gXhcRnUj1SdoGG0V5I1xGIK8CWSWP9fgWQVxzEDOqlaVNHwhEuU8o0WWeIS7tGCIr1PwSKqvcpWYEDn8x6KYs3OtYBXAQrYqSqs58yVzQYFeEY4UIegsLLSXARhx1LlUgm9X39wqKYSs9eokERyuXVqALRBvJeb4j1qpVGlS1i2vH0Q5Sbpm7abWRD5OvQ8ytaAvhhxBtC+0KKH9RZa8Dk5N+4TO0VljpAC7eKenvwxL0oJAr1zbLEtwffJBZkMOM/btJgoUCvIakVVooDsWbnS2Wgq4AQ6qBCoh07oyImhgNMHQV9YbhKlkXaI/ORqA4hE2ghqBfQVlXTL6OxihAC6uuTuojpqF5fSBq/eMd5KTD0AlnTG1r8R+icNi8nEcY43BBahWyDwERGb2TaWKWco3meGAov4iGvuGusvgxhlSeLWWJPDOIuxdfTCYPgmr+nhlYYpbUCaiz2cQHwOJVvwRhEgTVRoRFXq4IgE5i1pt0Y89H2MtwQ0Xr2PAjrLkTtKT9Ry7W054oTrQ3qmUuKeoRK5hyLlK4TuZvNSE9goqVIrqmo9ktlFZcV6qYowDtvWxUsWxwwQpwuJ51NsAd+iVBLZXeChNj4MYUUKQ/jlSyM5jlUxfmOVS9cG59AVK2sv+WMy4flucXAu6iQKuKOpiqkpT+0W+VB+BFqPHUthTOeQSuMy8bcR6ijdaDt6I2tFLdY0u4TbEIgQlsUi5PmTizid7dK8kUQllQDQTNmAfCUvAAVrg4iJ1HZuXA0e5RYCqSwdaei79QjGk4iyrZVebYgykfRs/IwqkEYOUSwWAEQC3go2byqL/ACIAMxAPWLi9u3fBiNIJyJz7hQqsjtN5UR9qQotsR5VwtCgdIGf8NKLrr1GXg5zHDLgNT+fpD3a0OGNZ1sQ6At2R4HlusHhhXC1Qr+5fam2xaq7lfRx8AKxjUmmGtccYqLarCMhIwLjgS5Ywy/hIzuHTZyjLq5MAXKZmchjEzm9ZCBb4S/65EHPTTXPslKf0xQcR/s1SDNOCJLCwYpTEQRyu258ilTTBY2EcAnEGLmBEYC/sj45QOa/Um105CiDjkYBAsenyS8Aw7II4hG4gS03siUte7up4GbMuSZpHB3ZSPmUJuDVSZpACoZkG3GR6JZ0QLzc8tDEfkywjK2G7IkDFUqsgKkAfuXIgjR1L+hLbtiotqhsoR9ZEfIxF265yL2GLqm/3Fytlgjswh1O8y4bXtlRc5drHW4OXgYw5lPC5Wc+FYIKouglAbvuxZyXFZSKoODeh3u4lXQoGIriuPlYvAF5PBN/oX9VAcgWnNPHsYa4fPBcP1esFX08dJugCgmzCCcCI3INuE7Za3GnycR3QBVeGKAcIFcUnLFopbgqPEe8gBdqW31m0kDRtK/kvEAS7PtV/Gw58crac/T5cRmtZG9NXXqE/rPHIEIuF+w7SVT8h4XyPT7j5OwTV4en+5gdgU8jBHJoOoswazAiWG0uxJh8eyDkIdYYCOWWnBMqWKRBlnV5yNBsthI13B+wtBUgCKRgBvIUVQkX3Y8Qnz+WKM4YuPnOX5DKJ3bP9wP0YsfZBjoGAEz7wTWSAp1CWVXwx3DxDk9fUcB4Ow1SHqWWJOkUlVuy4XAAAjNlRuBJqpT4anavLLzsmNOKRqpJqx1/qHWmyb+Sy3sYJ3LUQHsIysikVOohIecSoitqyuyipCh8Mub8QEVBBRz8ZGJ8A8mTguUX2SXWpTjWEIBx2mxjWFFalMBqbDuRUv4k8xbIHjKRlnhimqMtVyhxkILFH4ZpcltuGzsvQKERJeDENa8fRMTOlJfwKw0/0X7ikEVRW1YoVeS1Fdv1ByLq9nFpz8Uq7XH4C/wBypit8ZBAhO9Nhvf8AB2eRBfupZd699KyIHr7AN2q2QNLV8n6lVR2f6ID+qvzgRyCg0rGNVR7XwHf2StQIvjsntyiiDBOPa16EKB0GnWM2BdKSKxo2avUFUPsnIPsgfrcjVrPDLqaEomB0kvJK2cq6+nhgv7FpYHuHB3boQifGTUpC4XDD2x1B/ucHH3Nr8pCa0iFTqFYWrtF/mO6WF+Mg2Q1qpYg2IN2CkjgFoqB/ca4JTInjWRUecEZGb3BIGUdJv5GcpMXAwVtwKmkM8ENRb8B7nPIpCAGWsD7hdEOEObHwfnxGpxr7Jzl7IUBSynDYq3lUUMw2BJoehIiKhfDmPHjJS9sB8Qqb0lDETZctKgrim5cBKQVK9TiGtGTYAgAGJFbsSQDwxK8xaBT3GLFIxESPSXM6jJU5lGAj2uNU5yPnDib5LzeTh2GEg0Qgy/4QZby9Sh6MX3YS6oj05AdYLdHbSzIQOtVB/wAMGIQMAVx9weFVozNjb+8wuIqCPizT88/qVaOI7AiAPAVKu3T0GxLQ+Fg2WJy3hFptlE2dVxFInRFXDSepFVaotfUrEo2CMFTViUNujiPuNADOCB0NDUzmWFpVzRj7l0uy2bWgxg9FHxUTUv6pidheohiMKE0gdZbIEALdkXYTfZc8mDeww40p/wAnZBuAuXcCybyXNRTcbsuQYpWG536gbWjXEMBcYak0zHQLLmvCgPKICPJeMaBiiuo8UYKCLWQ2oa5EbUuLs8UGuHRcWmxtV+s4YvWx2wVADFbrcEVZ7Sop2V+xK9T+QiW6KfjRIXhpINY8Qh+jergZAcqr8zfY74jz6mS9xBUqJwCJAFeGOKabgoVFpfJB2AxR+CD+iZAQc2GGIJJYdzImPI34IdIo9Sr1G1hLki08S5cofcdtjFrIYhEJVqcQywN7Li4w5hDUst7UrE1i01cH9M1OwQIXSONYJQxmqYrp2ov4wmGOQHpMNSxEF4gIEILglEgjs5Ja5NC9yngidy61os7Zb8CsO2JmTTqvtYH0bDDol4pRsVd+IEFNHLctA7bjL2WvknfccOYdHLKnNjU6ypQHNtT6IqTLPJ/whhPirX05kLhTtOFwiNBfI4MhwFNdUUlSufjTq134DAdHEMBTACvZDam5w1XleRha7DibhR7OYarmuOP1EXQ8X2fco5ogCwVXK+GadA2HCXC9kej6SDYjqeLywl/glrZHHJSiTDVQFsYmdwAzFsZjqClRL4XBBEWFwUNv9GGjLoBjAKFC/NQXN600MIMnMc1kcicSy1XqH/okHWF8Q9FmXFnz1OOxWdzixlEqHwAtNCj6MSrX27+4LVyrK6NM7cWjGjIaGyE2WIECWgpzOLa+Y0lrBHT3K8XMtCGwf2eyKSKlpVCPDGtEGw0fcAFDU7VyiDkM5hTWX3TAGzeU0lVHZCDN206g6q0hPyTsWSzsb7pFR+BwpzxBCFGQ1EWotiggoiKIgXSW5D8TVMJVLuagRuvXxIQMlW2EGpcxWFgDqAlEbG7GIBAhmpC+yDcGxChlWCkz3Il0RogQuo67tQaB1iLYi4CIVAMoiNgmaolgw4xkAxQxVbLnEWtJ3AgF/aAKIAIC5AcLZlmD6BSdq8AQQz6ULrqjErUOpQjMNdAyBa+2uQjpSeCJNoF55WCWQequyZxzndZ+sIUGnAVgB9EbtQIdVUt+bVTtcJawl73sidCgb33BVIsrVrnxd03kW5Q3nXolm6SeK/7wTbhm9StZY+ZjBp2dkEYKVY+J7EshxvCju8f2QU4KfbmoU9G2nimIWzeluJalG6hdJvqA4fAMMOAOIi1qZRSsIUE8CD05TJrP4Y1i7zUEaqSXnFzE5lwvCnMAGAbA+C28DwTXkIlqc3OUyStja/pB083LkysmgFD4WB6xYQRxSNUeI+hq6k1zElV9woYWgv8AiVEcG2xdOO4SatbZqlkc1GvBOdB1CbLdOizPEbAU0QL+gbvmGgpzUqcopjjss0qcSND6O4zu4pq0zmLCiAEYBPOEgR0ibUqgtI5FC9jVqUFkS3ZWb1n8OE21YJWwJHWwRelxis6mJbBqVD+NFqw2mDXxijaY0Ur4wtaXAhkTokzfmWXqNuwSgdyvTMgMEaYeJRwiqAuO43ZbJ0RIAWHPxwDr0Maeo4quZXDCFS41AG8LUCtuF4ZTMAuOFXFMUC72DnwekHjCTvdUMD+VjOpmgoEggW4h4IIbu0XRuZ1FrNC4NK76mfvXbAkF/Z9ftZY2tELUPPqBPaQXv5fuBG6pvddkXQU/GG3HKJoUXMMApVvsCI/nqO57e/AiBkyr5Sv2zIS5b/uMBoYraizoF4nKlFX1BtZY8cVkrDXPwiiWxu1ZEgBVqlHOYoYTmDuQV0Qq/FuFBL5UJCQwWEagEKqSMuZFZQx3EqBUYXQxOcJctSvhVJHJqO2/2kb9YOBT13CxHnH0Ph9MuvBvB8sNeo8kCAB4Gqg63H3cbe2FniVVQ6seKNEq++iMBgB/Utg2pTHUEK0H7ipGVRWlW98/iX+R7JC4sRT1HTOC4XeD4jjgiiroHli1NwuNxMwwzwvxtsKgrjW343B2U/fMbpxTLn5QPzHZiZL876mD0mZ7Y/kS0lJQ3ApfmN1ASO3EPBbLHPVU4AQEFsYsfEuRrcYUZhjamgIQsgKjAx1LLZHVS5ogsy0CKJ5dy7EpTWAEq2XHJYjCoAASPPBCAQuUFI7aoJ4gECmQowl5B4bVIUoUeQgttaF1QaJp/cpCHcCrCFB5eo73ot8scE3QrlHiuoGkvVgfwyKkKyzWOVUwmgulO+4nWAlpdtRsCyHXBD62Z05f8T4i63cK3LxjyVi/omNsK5iQjugXkdBhYDzfASznaNKqV684Cnk4PTLs9VKtrdjqLTFod1KKrCKyEN+F0rDr2fcEq5ID5DSVXsCr++YIcwShUQpeZTUCMwehAgQa1SQBCoBlKpiVjvILeXgjjcaawS7SYMSwT/VQglJ5THrD0Gj4SPNEp0XA+yUkGJ6CcKx5gwCzpjga4lZdtvl8kClVhd13OTGTLUB4qt6uUrOdvB565Y56wAhHpcu0ifyaY1LuEak23JCuGhptEG+4qz2ckuBgKApivfBgK1JEnD8P0ruymMWiuEtOLhDzFZXjKEhYuELPt8QHay6UDowS7sCH6Rho5gKHWKV3BRbC7GO12ogPUclkwPgq3Ug5BnzANytiAERYshhIRsZTiK4ldohWsQmHZ9LKEGyishbCUlxSUkAvZQZcnDNcZ44jm5RB5kANjArlTEUAepzEfzDzEBS2HbCcvniMCc/0DMFDFO1/4m1mGzzXUv4FUDxThK5gYuT7MCqRYrRCJTwRewjACQSrtPMEIzV/cEFGNnEL30Md02hQNixKYBuwLssp7ILlfNQ8P7RnO4Keey+1gDGOPtI4jZJlHr1Uf+FRluxq6PmUkujv31HA2bX03EM7Udk4maHK3uoo8LzjExw4gNCiy11FIT64qcSrqA4EEii5TRiiuLC1xLCzY6J5h1sCIBS7mUYaA2VqcjKYq5euQyjjFRvXTp9wkcKF7qzqf/dEiBSIft0nklTz0xPTK8FMTb++jCYY6pdD9os9kCErVrHj1XmUk0tX/oP5GMNJqcPsXCAE+aqUA8w+2OkvgAY9H+yV7VpF12htgB7cqQpBQIf0IoTLAhQuBpUY6VFw9C1aRjnNhZEjx4jTdtMGJPIXLAZSWQtbKgeMJ8ku2lyReJvhltC1gCBwR1hxFFW81lzgAz8ggZpIxCFB6KgAFRwxRVEh0OQcuJLwprbsBrfZKjV3KkuRO0NZl9Q1E9I3cZRFcMzFwhgqZgGxd+stIyFdOpWwu+CF24RZmERVRWhAHXMp4SGxTjxDJqhv7qAkZApeEby6vSKKqG1u7jX1C+BBu0Tb5XdgUiq0vhuoHwHFieN9NzIIAutV779xUGpAqn54g6VVd251fuB8lFZWc3H4WgdsSk9JEXZMDddPZ7JnrhURu+hlqIgPaH1c33cvqKHxa0wwHdkSz9GIrvSIWw8/tgZmCV0rU5YiR9XVzCqBHgLnn6hY4wV4THxWsZluuJTNTMCCODsqWXERHqDAJEG2IOOnJ0EWDxAYWcv2oBpfcYJMeGFFqiWhVFw3r6JyOKOGERnWzbU2lQXHQjhmZS7/AO4AUujrPyp6CGCw30BEGqnzLDEpE5RolWe6lrVmDqzwJeFK1sEOxFUHGRmPgrkUynT2QwQjaGcowLoT36gE+2JD36YmDICvXYigvzH6p4cYauh6YJtoI7lDNyTtH0OT7mgR+pTBsSkSXociTigBZUcIBcz3mPpxU+4ZIaMoorBG/iJJ25RaJelURUSHMLCaMTeDjqNSplrsQ/A6Evj3OMcRShtBqNacy0YNJQuwHPqDfdssMlwDYiwiM5QilRQEiRBSQ+sXLUWrpYIFbBkG7YA9x0OIQXSS7aW7g4811KQyW9Rj4ZG1zG+smaAb6JspTwWRNaL4jkLbIPdReGAB8saghV6mEQC00vgtrP2winkW5u21vEalaem3N1DZGRzocfY7hnWUfa/9EKsBL4GnvX2vplYwC+H4DHUAHeQ8YG+uTDhq2Cn/ABOlDGOcI+mDWwSCykU7KKnyXR+oWyAXU0zh/LCUvQtg6IaJyutR1sIXLIAE1svCeNAK1M5RY5AtuYqnJVeah4VeAudhZ4iSx/si/t8DdhkHEXslabcUMCSBdnqBnQLwvBmdJaMrq1fUcIbhiDncf2umWKq7/lfk9kULfBG7izq+RgJ5cFFVkBBacr9zeQXQ4iEVyviXyFtqG6+g0sYF62xpAHSPrlU0DSnsWEnPRKKvPLNDlyW1dkaY0BQU81gLD2lpaoT8MZIKcTb9QAkOUclX1az/ACEKFjkJthEijLyyGapwBGS5azoguQ3kR9mcP2R0uyxDqIKZsbD4lGo6BsxRgQ2OioNza7jROQRlIR2OBnZSMQXQJgJKOUbK1mAoQwOMhcpyhhqU4wwAlX1rEaCuEgGiF2lS5crKJ3UJHQirs1ijZWYZi/cMI0RWro8HLK5laQv8soS2Ko5iYAS92xRSQssDG5l3VL7lHQNshmE4rti2HkL6DeiCLLMKBzkfqCgFrLKb1FG9hy3FQkU0+R/SWyUb8oKqBaqvUuRKoQ5vUdUogbrHddqcul1BVIFOj7IDN4aTn03oPj1MdU7yOKQOm2P1Dh7Yjq+4bBbZeVKArFteblqACx44iNaPATajpQVqfmcbiUAsI0Q+ItGRatShZtFeEsJxFzEd2ln0cCLf70EJG5KudnRqjicBZyDaBcGVHk8x2tTvxNwNpUJRdu0nvyEbRIqVT7iaZjUB8C7gHNiMeAIl1mqC9uAlBPCcaPJ0+4k1TVjTKavBDhl6FaPzqoVGZreq4lw6YQkjxrT9MVFJooysiMIMOqfSEcB2xCttAQXy2AjdHI+NC9rHhmEmyjLEQGzGFrOpy/FTEGAdtKeoQyl8MEFVqIt8kA/aYz7+2LXrkY97iFwi0MVwd6M5xFL3iYBRZU4S2QtAEeIph3HKLe3uX/VKFSOJzSY6lWUSpjMNJCmgaIQmbHgij940kFJKCdpf2X1MusuWaxGlzxi4JqqqDRyVaMdyqGHmGjEDB4BhXiI6qBwLrd2WQfytWE/gMWWlug4b+yHRUHTDEphyJ2QCQgi/XFQd5BB8hf6iNBN+sWwilJaP7GxgfEBjoYEpUg5S+/uBzV2/jxHEgWKhjdsHmHQOBb4KY4Rqh7Y0cFcHqGMSh5VUbrlr2GCNkqOUAQy/By8MWpK2aL6iAQIHcFrejiKd0FPSkiXNcjwwCjXkKMMMbUK2UbVIuCKCOpRRDIFgtQibJsOJUrHaesGVbPJEx6JlFjh6mibzAUUpYRrCzRAUsF4QP68kTlvt8gWFszmcOrVgjFhArR/9SjrjcLsb6YLK2lXaOAlIHajORiLCypImfZjYSS4cSmBCLFFvH3CJAcCqPAYA6NlGn8kYBTLc4INO1ixuFlNxNZWoF3LZhmEjM9ka2JYQMSauR5BzKng6rRnhcwTUcSdnTNU1bwCyKE8+2A0MeFnZqBIJal1txGY6sCdVzbgWSpwxVfxQByDYUfUqTkQoC2HbmEMzoKOrYJi3qXPpiwBGRDKzpitIy9qPlET2RDqh1jcUeNkLs8XSRbjxCG4CmHLFsoyC9sQkavKL9YyuyPiTyzUCQL8OTDdQpcYp2ZZbG+VgS3UMlafU2Qe48ybaOkTZLu1cDgbyawT0inMoGnhYFqH3LFoID04h2016TkTb5Ji2FdPBGKH4ClXFAN0N6ri2E+2ifQ5k03ii/AytRCfQbYklrfiEoEDFmSeVGHYKbzmLrTQ9n/LsZf8AkEdzRRhz2MTi5s7FIiCujhGEIp0dKb+GI2tqji9Pph4lJTii0C49TvL7YP6hYTVF8VhLyO1VR9DcoyPJknd8aZf8Y03IaGbhEWRQqqOAWp9S4l0Hw+IIO0TNsWPctUvtVygfTezDxNlB4DXhmeQwLyXsCN7N/wBGdZOLaer6Mr5uWWnJcbgLPIdJjBdbQBwHTCFjSmArzCQ4TaKnm0CglR27AU0Al/QeNHYqFLSKVr1DcQYvSxfruYwz3R/KMbWO9CWSqYFodpfxSfiJ/LxAa06Vo8vqoRXIkRjXKpZLTpHqu5zJs/IxNBs3TqVhuhUXUVaNHmKixGOOzlDGQLlj4Y6ZSndQbPIl1C+ILlYywe6pWDYwiSRcV/d8TCMJikp2jc2CbsDytcy3g8e5c/1QdA9huBBexXabLcubLHoSbqzQjuMYLI2rFyeSIqIByCI3UMcSwyGvJ7bmIEiQDCWQVbNAQVBBx7jSbl/KPEN8QB5nmUlo13wHojApfwW1H0REukvOGEIDjCVjfkjU8c3i2Vluwrgq2JbwKDoCMwrAV7WlncrSgPin+0ZVGMPAPZ9RTcG/cUCr/Xa4ZWQo79gTPVhr0lr/AFHcpEkA0Fp9Nh8RubLT4WpOINnB3WXAtm7Z0OpBS3oOF5AQaGgfIS4KWfx/SMTrgdgemVMF4Jb1sAuxUbhOWYmfCBDOFRMgkNUdPwFU40YXIrSVIktLXUEy46YiB4MVe8U0tKUyzwwBgAA6CHl9SvKKn1/zkqACHTz8j7JdvXQd/G9+iUWSB7n2efcyAhDsHKGWJLwdAhQ2XoMNPuZPIboXLxWw2tVMq7//AISGvWthWbDwdi3Jb/Cxbq0NKojjBdTmr1+jzA9zY6CNy8fDPQ8/iUZZFUO2S0MVToLr6tGrq+gf4FQMqCenK/UMKBR+fo8vMfRSn2lNxo6HuE7eEXIYgbZxDKHMuSxgWo7YggQgPJKvCN1wBCi9ISLi2TmFBx+O4x0hdQonhSsWnsZVjs2ugS/PVEZos4F7VUVyIAZl+2NbHvAGsb1sdgRjQUibNECnCKBfxxeJh8JWjFKY6EeeCXUBBOyuRsQlkIHJ3GxHE1HcORKfhflmQDBnP4Rd2EKcFodlA9HcbtywGwpiClFFnltgRQ1Zxdw4A9osYloBfFlS8PJxLKQPJzEoEvjjGwYAXj5ruV7cF4vP6ilbtb5mkXhYYeH7JZEUBPYzjYACvAGoqT4p+lRjHxysKMhrYjp0XmXwBo/Ov5gzDd4pI5eTVpyRVrmhJZpbUPKBF3nBUwqwzQYfY8QiNHxRv6hdT93cXZWu4A0lKyYwbAQQ0GGCVGFacX4qpFOEJOSgEITjy6ddiOyF2DQBqDUVKWknbb1Yf9MHnkDmgWM5AVvgbG/oi0t9PY+SWKBZVKeH3KAhFHRcFFReji76weryo1aCxR7ld+4VowEQr7Dwwy9yZySuPCv9u2WF5QR+SzubjpRqByr67jTEuBFS0eWCDZbrCLQoD2krK9M2MyrtfyFTNHAEqdQJ+M3ASqqGgpzkA0XBffbp/MLTfeeghtjdh8zFgtTzcfS3SbzjQlywkfWUWwrgN4iCcBAeMCJIRVOpXaqBqtsgnfc8kAqY/wAKf5hK2ICQo8L8XEkBlo0Vh13VhP2WKvBKLnAqpW1wgWDh3YBUu4d9IVdsOhljdiC6giZDbUAyxXmF2jEkvMQg0TerFhVrGIDZWWVGhXEMGWcJ3GVGQsltdiFFdBjkIXQU9qx2PT3Nnd84Pol5Z9MCp6Ig4lYnZj28oJCt+5zkZOo1ephm2wNLCTwnXmvMbWIXvXP5qHVhQ9NGX9OT8LIFZ7D+RJWhgt8vM6LUVd7URbc3Z11X8wUQFh9Whxchf75gZBpD/c7xaqBaIZuEzgZTC1gWSwB5Ua5MDK6KsMaB0hggXX+jCamjg7hISHZekt9jks0vVHEaIySzHG5ai4gNgjCIcXEZEzNEhATIK6YW1eQwDVV1BKCPHpgwVj44uC0PpIdgcjaGN+xhlIj5I9hv/CXRczkutubBNJTQ/JolzFGWPVvwSl6roCUaR9nZGx1osMCaZnQRxwo9JGRon1SnLBZsGWMSUUsNAKq3agYFfAKErhTmE5tJow15ancMsyAPqoA3zLNPMwJygLzbqpzTMEFCDmdxKGPAbH2JH0buCFljiKPmJwwwgrz8HIgILUcboP1HRXNN+sKGKRKGDkHVqWXKiiiiO/gGtwX2BiWhUox1oGHMD6ddArRS4mogUgBGraihKzWB5bLblxqG5Uoh4YiJVdogMY1Ga4rALOyPrU9ScgSsg7DCTrDnDAb2Qc8ZRkMWECC1w/TXl5Y6lzdRq1vT5l0Eyq6lFBvxLoFdUIL+ZbvI4QUlkCV3abfcLQgEHgbg3jddqsEJZww+UL31E2c2wa45GMjNHZo3f7IoQsN17D9MYfBb+Wnn72cVQzOf9koMAWrYHbCQELxUdlgIuc+K1KbsjwJKCXl0Rimw8BB5lwz0Oo8EMG3yVr9nklME+MZ9jKCkXhHAq8EfQNVF4DXL4ipE1E3niTMEWI1i6I8sEUISTEqJeS0yI6hKPARhRZcnIMqlsR9ILrXN/Mi1WAkJzMqUOP555MRMND9E4nRqXl2uEl121LZL/cY/e5Wau+XAeZb5JLEq9BhD7oHX++Ge4LsnofdjXX6RsTySxXcEqsWY6di3MWwyXtIlXaefqaBqoWy4AotafAoAhKANbxkEEcbFX3KnPgiSxCFQER2AgOHq5wsGErbhTLKaF2Hyn1LVU5K8xxzG6cliy7uIBTN9QWkqgSAopYukbD/7RSsqx7XucQSSCAoNdEZTpKrHGZHNQAdQArmMK3HEVY/UiDhKNzySI0NBDlnOjL5V1srUBwQsyPJRuGivknvCV4j6eEjaMVsM/VEHrV9C5TERx1FY00cYjoOo+qIm2uAoWXZb2sUmzjhCbmiruLYbX6QSrdPRUAFHHyHuE7SpblopfzF7KW659R6RvU8K2VYbCmpVNltDxAfk3yewfiDGpB1a68so7Y4Snh8kRX/7lU4h6YJZxfU55fdRTZ+SHd+KzSGyBam0vqQ5D6YsXta++44XXg6S1V28ygbv8wK73xEtj2wbgEFowYikFplkysxjBM25l2S4heJhUechECC7PFRfYYKd3ODnKt7C359Q8uj/AAR0jYVTV+zcZMVCIUQ4Fa7Qx5HZ1v8A0niXO0an2oVe/iAf8kw3SCG+k1q6A6vn7N/VTakKecYebNVBtnlv6L6/mKiaHm+45a9Y8wCgN1hrLxaGwUWNv4uL4KReLKP1OWUbQMaOcxgctwrP35i8CWaA1TfK3qCVeF1a+s7JZgVG5ddpKu+kLdcvNuYKFGoPEHBV6lXgYIRAQae2NToJsJKubbBcB8zwKFlyriwt1ER8RIQNKthJCHcDdv8AaN2PkbKBXtdiAvk/Qm+Fy9XLNeXATHr47MGEVRP5ZxxFERSWOEK3gJxNrbLGvwI1zEqdLLrPUUljO4JIWk4tLWsU8y6FQIriqgwtUXvRsx0K3uMtXr6XxUARleS39FE1afkT88y34UBtfu8GJDwhb7tgyXBwa/bHNW8bR6Q3uI0KhWY2JTepDpgRRTnNNr6g0liV5X2iciKnpVqjNoWO/Rm/gLmqAFPIgfoVRTddo7gVQizTl+zf4IFLoC4yD6fpcsJUOXBOWsHMRsbdapJaS6Kxub3dGhM6v3GD8CHnafUOfVEgG42ZSCdSwji7gQNwKMC2HGsQeZd3DfjMXCCL0kYkjAUuQblnidINLwViFAeoLj7ajHg7XDSyysoNJWlbhyhkP0D768RTVrwcE6qgPJ6CAK+q7s9MW31/YaRXCl//APR4i8aV9w7/ABCFZx6DglWTbcggWUq+QjGe4XQ6NHJmwexfEOMltaHi3Qhq3I60lwPrCOEi1+pwgKLBxjApFUIkZyxoq3XJfcEYoOp7Dl4SZjoqoUku/wASg7kERarZe9rGV8XG9tuP4iaRZdRhsfiN215hlBBIAaL82yiCnbLIWHMsjWpWpp1M0EfIIBUcIWGoZSG0MIES4IpJvfotFCGbpu42esvcJxFrBtx5Dkl/jSnzDhWWauEpcUJYbLQS0JW9YeHzLIQwskqNU9RPsTbeIk2Q7jY89R4kS2iHcaWGaeDmUbJbDLwKKmNpZPbDXeRit6Y8s44i06uADWsb6HVZRBVAOH9RyEHdbfQIfspdp+xJcBPa0q4IBz6sn+ASmpI//F5gIAPYb+I11dYLf0S98xUpRGoBa7oGxzlBpwtYbKYB89MGAFpop0+oTFc2dIOoI6+PkjuAOXTUVZ8cpKA8JCvyd9J313tUZ56r5BA2lGniAOL4uoRS1tuIqnI8vVwhQ2AvFeGPqCZl9nmBMXgW65SHd6nCcKhTDxUVkGU/HzRJcoZfiwTFRU5lp8ftgF5ntmxsezYgbBAB9BhquqBZeA/gl6XaHv6Pa9MVjgP5lYmQDxLZ3T+5W5IFHgsIp2L1MeH/AND8eI7MID09kD0lQdjFzBP7qEdLHrHBjScFLlOEWqoMY67PyWMKfgJ19Qna7zOOFxXQOnlKTUyAqw+gzkGFVgpKcolpVVccTn0EAoXBJfqWseKlS4y60o+GVkbNgjKAnXhlCkJLQKVP9ECAcdZhm7IsLcQ8CTpzE3hbx54hH7YRcbQoVybEzSo6UF8drwE4o5y9g6B5JTvmcEWEuw+gNVAX7ZalSlpA1YWwxLF5Q5HQsVh4lJTbg9mZOI4ByodhB7ssRvYWmUeuYhvUqS8RdyuMS+RfSQvXT9QL3rqeb4DwStqo4Cc+FdhQ0oeCDPY2g1D/AEF8PruF2pqhgcTsmmsVbRe8w8BDpfyZWETtCPGknan2VABHJDGpfADU2Fzx0v8AhDtsKvzEE2cftDI0aWZRwS+uUZHBuqI970y6dKPBTVjHrCWHcFT3sQGYzHpzlHawiC0IIcfoDqCbuXscYagncMY1R9ETmDiZ+SMa4DiTPo6ZaQYa+GDs1GrV+4OpnkEP4qLUA3ilo0NLTzAM67l+1R1OHwxG3KtfAVSq5ylyi9ixpzPGxZbUtEaHwLcLRyUwtFHstKv8S4IHt4gSy0Iu6SvEJglFHkiK11GMtf8ABK59y7bV+VwlyCYjWI9U2MWpVIVFnqVvhu4HCQsQp1Wk7V8SuFVt7jB4cZQtracrLp1dY2wgouEGFkjQlLtb9TJVXoBRh9zVXq3cQ8huiDqKRWhDVwgRvi5YUSJvC7sMbqQxTACEK6XN+VTANKZfnEvIIHiHa/UIprxxNg1Zg7nF4AqnX79I4jNANHtCFPcjiBT6+K7niBD5gQvLFbxMZU5DtXNQi6ghMAh0wuglj5TAOWEgcsrFwMoRLJypkb1K9FEVfmPhRDwVgqaRq6jEqPK6wy1o7FaBTvtYnZrRxEEUZoNTZl9Dd8QOYqw1fmBmp6V0QYDvHop4ZzZ1Jv4OViLaIFauiGVa7CrA7UEEhqnJYtULWF9JCIy01FvcIfWqPQS8oGHltpE8dlU/l/KRWYDRK4YISAxy6jyoKEjwYQanwXDRZ2xY8KnB/OpDyV+pVhz1SSEQroiuaItlwOGBjAXPJXsiQvhZ12Uy1gTaqg9SM43C+IOtOOjAYJhRnqNRHx80cWoWFtcW0vOzzs9kR7j9oBgxpgBjE5wozgSUXITTtnjy8RtOc6MBof6ii55JxH0wfxBKOV0/hi2Irb6dSxFdgLbMYxYnqGF+cTPQwXLlFHMfqWQGGXaXvmFuZsLAevRj7t+3kfEMiihfuY7aokt/pJLX8PZ1NlBlxYjBLFTvMVNnM6WdNThhVbsr7hMGhVlSPEDyVsG7nNQDFTKF9SvUZ3E4lNwuHdo2qBxcU28TITEoGgKy+hqa2OqjTwgE1ZcO/wCNILPiDZ9/C2xB8Y1LA0qNJprcWIwwwoUGqNwvzR+olSsSEpacuXG2ModMxLnXKxstKAzp5WdYg/2fECgBbUAeAMJSlomXTaC32viWBb2ubsIiwcXxBzPW0aj6ZFPGvwQFOLROfA8svCE4PSFj+SuFoePbDIst6Gu+zG5i0qk8Uj7zOgP+EjVq3qI+OgtyXxfiWTa8Puj/ABKSNB55W5aQp+BvuUNV7hRhM9hIdzK3wbWw+CNKitijW01TiFYEOXmZwVNjUaR4LCYoX2OGbXQpqYHAtnT7OpbimnYi8LSmW9nSR2Lwtwv0kaFGWWfuGWICcIl+YZCgJg7KOBO6iSB2Ri4idl2BBXMEu7C1mAGQoijqVdSniN+COrJsR7GGdGf0xymiKuPupaTFIqwvdvE0uSLDxy2F0aJfNSiot8VLpXJctadiHPB/UdfJWENKggIhxyJHbKXUay4qrgTzAoCBGmlwai9PCZsYWckLzRuKUYmtFH4giBzSXKwrT3FbiQ9kv9FooNLb2pYDgHpOILpI6R1l7nW+CJvpWlOH2JbFHF2r7YSUypiqA2eoukG84EjbFtwcjFSOpaYdGtincsPuKEi6aqWwGRDu+YiR4iaVGUlxAnWIWSblpKaVI/CR5TmGP3Lq88I33iE7lBIvv+iOi1Rf3GduNDuIl6AvkPb1M5/AEn6QumJgjLgIoS2h/wBCCvBsHoXr2hqt1a8Xo7YfkbQaH9H3DZJ0GA8ryqeAhcvolcvSvQJ/bLqKr7I3YAh41av3K8EsPVKxiJ+hT2EohWKK3u/pbgj6RKmuCkBtYMJhWGgKqeIiIq6WONDfEKK/2WlRvId9svCh1rk9yn7yoX+/EYFPBThHpIaB89D9S6kuV5JzySGJX5mebwAloVxNlwFcyq5X3L12L2lTzFcpQrgNzaNbLbMyZBBcAhJWi7FnSHbUEXECRDxCFUXsOoVV+J/9ZHpZwDyROuR0fMepBtOSJFzgxSpSwb8PDEyCPasV3AhUjXliGEBqVmRw7HVwzA4C/wA/TKMKppKYWuwzUx5ajb4NRdkSkUxNmVLrXbCvRILDJSwwwJDHJ8siqdoBZcRV2OQ89qxTYgPFFVCd6lgE8uS9Q83/AOU69c4EIHQ7qSreJWeJr9g11DBUd6qVSXEbsQ95LJczYQxpFwYe4pidwGqVLCtqbRdXC4RmdEde5RKRWVOTwvuUCWCZyLV3LJQhRUMIJgpVRtFp52GcO8qjLT2MIHqrbydwiBo7DlpyODOowsIEaxyiLV0tMh6M7QI4pTmdI8994wn6uHA9iy/ghhu4lr/4iHAVLOh7fEa8ONPK6DoInixWsI0xwqDeRH4+33Ba/g6twMb5IR2zDtEQ4DmIvBo/xSY+mT2AFQAiBDSFUiQRJIN3HD9vDCWAOOW6dPkxd/K1ErouOlI3rSPgfUV0Oojkwc92PpiIErsh3OCl0JQvAPkfCxWtt5VcVCCMAvsMdVz6yCMgaYu7Ge4W8zzp7oNIMcg2J4hqGaQCXCY1ZCI2SAB+qm421GMA3eMNcr8i4XhNB+dZpuDKMGeFwwbSwSVlZ4IV66nMFKvvufZHEEOD3BA5x8MwDds1BcuRyXFsBjftoI2g8sK0lmuS9HIhHE+oK5tCAqAIPq5YrLSAzxcal1FVXU5Y2rPuVoskQw0GWxZUw11gCSVw9jOVl5RPfiWBLTSznH0RqrhWpvfovLF9sCobdIokviKkbZchdYhplzDNOWqNRGz6lYG1DnTcXq3bK+na47FNVF9VWKyuGwydKA6QGazIUkNBYK8RR0oIDJFpkOWVsuX8OZUC/cCsUhMGddDMOEayv1AkXZxhe9geUwUrUD4WP9/kjnS97CgKNOrfREGl6j83mFy06AH5TYQFEarpYOL78SyttvKjWal2uW+2OgHfjeCAVZ4uiUoCkCG4Bevec/SHbWWnMKrQQ14bZCLmCRW5E658vzB0toHxAUFgVXI5UCiqHZ5i2qkUTSXVVh0ma4ThtYkbFVezv7IlkCfhqcpg6eEcSBnyRzIILHqqeN/ZCppvSGSBO54iBsMsF2hdAXs40KiUtGRxxH6QQadiTv4JgWS36jDnEqK6i4IvsRawb9RfYbGIGWTEDla6iCieHxCA8Lod+68SnVYOYh5Y4zSM1fTBWgHthQFtsbKge3NH6JdChSryHBfyQmRp+T0y6IC5RyRl1GF8bAQJTcGitGCsRqsgqlhctGTGPapecCZwEbWqEGzcH0FJOZ8y4B4hidErgcoS0IQSVPSCvT2/EP6awa1JHaah2OZhNwvbNUtLyOWCvfMMAyxtwvR07iIiqXePuX1WyCB7Gz0yTU+5QxzCsdIZnuK+zHHm1K8Tg0gFPmNaTuwmxgrCUh10w0OUVY8THUv7UEuPruM/2JxD2Y4Lq4Fa0MrcblibhULYe4O8iJ8qac0OwlZXgq6CPLCRcL9XArNnZD7RhazUD+03XrEv0jBCqFPFa/dQDXjGLfRE3vRyX0dfbEdcs11hdZ1VcF5RDic1vKcwLCCgZtf0RxUro6a4IVfauDz6/qC8Ge2r4YsLb9sxYRgWS/DBafQp5IlCHjPDUgJT7KiNSoA8MKQAXAz7EXi5pPOHIPI2obvwet3+YV0bDjoGzqvTBgbwvb1A2uDlikFHkIS7FXUUhtRvUs8TwY66T1QaZDpUSLg3FIMpijqMieGIUl0jUMkZMHVwRDn4jAlIQMqjg5JznCI+mD5WRw/YcMMIh3KoWFBq8YLRDwTkElSwCAo1GviP9fDF4x67v+6ORtFMweF1AatPib0zm5XiXCoew76I3ayWRc8UEhGakdCElhCD8QNy7YZh16QjcIih45h4BimmkOwIXcPXN3cQpsBBBUM5VnplvLSVFSoAcU3GogVjJ23KQf8ABLyxpLeeIOj9xbQUDATZuNwOI6y9/qUphNBjSZImmDxAdSgO0JHgiGij86jRCXqk0StVwbU8QYQK5TiXjlFtuHYVYjmdkDDq6jaNbfUDxV1loEGjYLIM4rqPO7wtn/EywZj2lLQFFw/aFEphtVVtQ3dWvJEyF57fUtgqbwfl7Y/aW7sgXYebFPMESxWa73QijVHEq4bIrVXX6CKw5z1LjwBPPJhzCJv2pS6drwX/AKZVOM57r3eyEXt2PvRJZKhfFIhSMoHjmFapVDH1KThP3dQxOAuHA8wUZhTzRgqhjEf6ZfebrSyNYi0LxMyRulXiV2StAnCXUII4Q7M+EEQqIdkBAigoZb5lJsUBhDIUNpmLgw7Ed8y3cCKBRKopKhTaI3CxT+EMywC6iXWlgjWwNR8wgg6dQ5E2QqCGfksR4gwpEC0Nq1RKNUBLTcLY5UQooitrn5DClQ4cGVBcpQWGV4MAEfuCIqpkCIxmL+1x0Yaiu9OePpjXVQPARneyXE2+I5VxGWZYwoNjl6n7ZZa6+DRYRopyyk9stSAQ4KsgNLIreYRLcp07imHa7hI1Udw1Fr2ahAuS5yA42BZehguRolwFZ3HxlOZhMMFwtEUWq+zHIbXB0Q/XkFRaoJde0/yyxD07KWXoQPKKv96wSNDVYRc+XUjzsMTC37YM1739eIA5mzS+u2MRCbSJI90cwk7SqT4glTqL3F3M8S15EAL9BJRCtwOaWFbhC/ZXEG9dOQBCmj0kYgdvhvI8FbPpwqchJ0XqMaegy2HWsTnzzVYDeXuKtMY8Dv2RtdoPVDqt2cO//k9fUZcJGAH8xtKkCPBjwKGMjSDRQgr1AOvgkCUJaTDMJcQVcc1CpmShqQIcgyoM5h4XKpa1zliRxiSlHbA9CphWcVDYmwhPAINCDUKjXgX6ID3/ALiun2RDLBOYIWMuSxK3KNG7Ilu/BG50SyymwyhGZGzuhGtXEaMu9AZHPMIaFd41Fvrb5t+mV4iDZ7a/bD6gcOUuwcymhI0FfcKo1UzmpcrKEKjSH5WquPqULxkrjhk89alvCgXLaREkBi8ETZ2EZ25cZpscM5I7yGCF9sXWxOCIpZTZzs2EyZtnYaqXapl4LKFoLqg0a8TOT0YB1AhA5s2lsLVTE5Pa8QIBpCIzXE4mOavJfiKtv6y6JpF9jbc38padvFsFpRx3HV1kIuilf0vmC0rlrfgRW52r1f8AyX1EoHQRvolNTr0O2B8DToFUOjSH3mFVOS3gZUdbflc+yUcI2D2p4gd+Di+mNUdKPfUAVFIUe/M2B6HshJ407fb8SoVoX2Zv9pR7Lqbvku7B1Dbw2gqdTtT12M0RYAJ44RjV0ik5Bldc8Bi+SO0t+OZRSACeH3O0o9w64jniBSyAyYqBFBTPhUhuGJbcZSgohADzOslfkpczEJY5i2F7itMTYIh4imCyJ4c5NRgtTcIqgIEuL6lqjYeVMb2xxzRF64ebIesOTyQbZoqQxqKKV1KcH3C/yVcfBYnWIoIYqJaWOkPDwsYRHvEaMqLCHAg+1LgsM3GTwmU9E53fqUXK5V/qSKDDQzsLtISlaoETg37lhAbeUXM65lijSEpoXN37BIzMGukSyVaKeuUx3am0tjiQr8U3Llf1T0mT9sqAQszj1DcxEjlYOiZiAAbYlC/DgnE7sCoAlz3JvRAbVR4B61j2vXNx0mh1BRAJvBxcRgKdXEkWUIjQfywl3p9IQb0B2v3B1FbZ5+2UETjTH5gHMzOX+qE1WxyT8GXeU00ojvXqMxwcK/f3FEhtW2/g7lgCGcrc8EMW6NOy2K+oSyCGAbizyxVyJjizCg4IPQOu0+BBogATUlMgXa+I9rAAdwezf65yjAv5qaJ0BfIcZUVjB1vsiUeV7KGpasltFRkBpH0NGpcxwa09oe0dQlLZxLeW78TQ7KbEFbG4EzYNuo8IngQ6YFTBqPwDiBfEI5cg3CDIhOYa5fFIAqNuwevigI9RY+wI84laX6pUrQCOsQj+JYqQt1I93qAPFtS3zawAUaQseDVB9CUkpt6SXtKw4dfmompAZC7gVClyG/JKkEqVPkS0ILBwPMJFMiP6i1kUGQqNMo6YYRRZM1kzwjoPGJHA4icoq85NpIuaU281BJPYmCdz5pAMHCKp6BdgKB6iakZjuBR8Kwu8A1hE5ISW3swxWUBFXdSzKATkhKvEWnsH6lczySyFXqYy+2XLumNXNIoBKqUgs7EVhE3xNiaWHv4hAqvgl5faEF2E5cwhBAFaUoi8uCwIxwLXlIcBTMKiwge1LmRsrBxFFTHnWHNOj7lztpTg6jG8qJ8sZ0be7HMXQcMEYOF59WRpWDmH9ykSO04gxS0f/wBq1gFsDRpr76JuUqORBRbDaL6BuoNpQXsKVN4IMOhMuvxBay5ENHtZTjMoQ+vJhzgV45F0H0QUutbPP/4TPVSY+VjlZbS/jN9LEHhdP1LOvL6emHnrU5p2R5ePUvf8kcKkbJAdlZSXZhKvyIocXev2MJr56IUw/knh8QhAIl9nBMGb1Cc3wDSE4Sq6giSAhTMttjRh7LCMYw+AYsCBHMAsi2HamP6tDK3ECnM2bncqQB6XIE6ycC+W6H7IP/nAC/4XESPBolQGMFgapBpo4MrEfMxCG1NYyvF3zTONvBcAA0EQgFaVzD+/wxmVMpwAwrWKtqBXEYCVEfGldyhOeNh75yffAQ2h2ricxKKqAhHAAw4jH1q8BgqCJiEOpTyUsXvCFy92exrals/FHb5sxkzdA1dznRG8Qlm9CA1O2ZHkFQGPYyEQWNwmCZcFoQFMNrGACzCXZYSywi0D2x6aVatYjSvMb0lWXLgW9QknBkC7J2OqiNs4Ye4XkLJBrHBy4jOte4ZOq44EC2h0IinIXXuCCrt8JYSHqFe5SlrKzF+qn13nl9rAB48tX/cEhRhcPog0Cebg+hLi187P2y0BjbtXcCvAdt7L6VFh9uWsC9OwteSV5xfs+ZU9Ad8BFUMvc8ePzCJ5q+1hli1XlqWCzsfe1K1Z4IXZmp4scfsnOtQrvyq+/M02NPFHyeYHl3DT7gN43hLGNvC1BmDIHaY7DaDzY2LHEQnuAmwI7BSICIYa8QB8CUsMJKecEEDF/AtWsEp1LKzmUepctwt0BdwqmwuzGFbiFdi5uvMpBxDkr5Elmarnjvk+uyaGwlkRLyxK3y2Wogw2cQCYeSUGr6eWKrsR0YrGWKm97TqYg81AgCoIHEuNHycPqb31RC98n1ANBHB0PuENvITQJcFuKuxYzckPe1pteYXYV9DYu1X+jInKCl/DMjaiA2lI6rhAhU9lAG2EH02OyE7tZEuO5pVwxijlAW/Eu3oiCjiHResRXSxjR1D+a5nJjwV0TzLVrwiAJLTgGL24FY5NTVcRXlRYbeWaaeVl4kah5iYEjl6liIqrzUVTaqncuwr1ghL6Uv30Rk80UvwfswG36bvCH3AoHXswOFqKSp9sHL+CD1eE8ZIgZprslCb/AIQArVjR5v7j7NxQF+lR3Vpgzqbt77jGsAzCpUFj7FIFCQY4RaUp5ElRVCxgAsgY5SzwjLBuNGnUiUBQaLdrlHGHp/H1LuLGBKT7Yg9lkqiFjEg6kAQyXa7bAqVucG7YBVs4NivMAxXc9kGWzl0AOx1guGM4YWIqux22VZygIpYUwPd7e4bZFiUCIknlbRD1RdN6hlWQcXWayjigMWG2rliNqHXD0xm8q1y3jQujcaDGxrCYJXI8Y7wEF4elxpyqxg2kuos1EiqodI9IgyU7hslbLmG2IFgajEayAe4Fc6lU4M3wF+4gtVr6OA35ljdg6uMm68xVzWeauJFPFTUxoJcCCMGjWHlDVMdZVU9Sji/EozWdQA6Oy8oWB0PcQm4ahoDLm/aAjMuBqWVEBXuKJY2B+iNZPEQx+QfZHJ/Fy9D4WWtVGiQwhYQM9LKybKtj+wyYIbdQQva8y9B8rOEBz0CG6xxCpCc3UrwK2xC5YpQcl8wNOBKDZR6LPKZTFtA9ER2B7qiFZHkcT+g5gl7cf+hltTwNBvkEWALah3f8MEAb8EO2aPHl8ThJtEautqEaj474fDHNo+5hCBI+C64Y013St3clAqpLPDOI8F12oIFB/kjXqLgW0LtcI+GBQQLfGypocL1QDPWgtI7kRLlpFJwFssDseeGGYp7JwEMyhDdlQRyCaZUYyp1FjBEw1DhcUtlPKCTYpjiFawIWrbq8odXfmBbO9oijVYt11NWq5d0geuJdesj6LOHl+oZFs9lBMcYhXUtPwXsYc2uADxPYUehpim0o8Q9gk5i0YNjLhOgQEPjpTBxIolSpBBTvwh3mB5hcJUGCLTUvypd3VqpeY8nAnK1bwx1bPywLliAKIGwe46LY0yW8FWnqCuvyfwjD8s8lK5TK+hLHAXrK7xGJd4iGoGx5uCx5g4Ll1FzuxzwVC4MttFEYVMg6tBH+hsTri4iQJwtMB9xeMvXJWRlqQMDdO4UQuYTzJlD9kzGJqEpUE18x1alw7B9Wg/mWxr2CUrRPP+koAF9FEp/nm6Q1Q9EJJHTgMeieAD8BCgDVgDx4hJe5oP2KSggcjyswZViWagOEy43AFCjr/uFGu5xxnqUlp4iTyft8D2QhVwHs9fcdmw9OkJXWXrfxMIihfUAo3E8hBILDZ/S0TXcDs6Hm+4XEpfJ2k8rsh6RZj4Yg4YRFK+49gKCRRKsYna2WvFxpYfSLGVR2GLauIFcRCSuOE4JsmWjCpEIdYS/bi8MCELUYBipjw7CYUCN3ElFbVG2PbSlCrQHY1oFxrGFC0aXT7lfGyFN9HlitO4TkAXdwmPvKDZXWMc8LVIxxcs1hHGhATIEoJGsauqhqVGvp5lUAvTuKciHoLpcpzTKEQmxW4YWJHqYauFv0Fq4luxiOJHAyBlXxakZlya3U7TlZvHfMslgqXUYgzlHyfc05WvnYrseiwYoC0krKNgQzGibDTNuPGwBcujyCa6TCdx4lcJb6hBCo8MAEgVzUNSDcWFMMu6Ly3uUVlye4oOQCE0xPxJNRWdI6rjgI/wC0xLpbcYp1namLYsWHwEYSoIQFLg+riIH1UFvCBNPntqJcXSwhwrvVc/cuzucFn8Qovkodwvxs1/sfMOqzwi5S61JUlXYqGnIbViK2hOZz1ADKKpn+p0+JXhlsPbUbuEp48M8jgyXiKoDHv930RRiQu/x/TAV5PQhj+ZwyJT5DR+49erY8h5it2SGHgjgCkqoS3uFRGo08kF5m+/qPlAYb5zLYu47bhCkqHFpL6RzggxsYepOUILqGyiAuIHpEcEOEm+m1jfdBscw/DqYELu8Tkg9g22G1dxRrsOI1t6EQAv7YfNYCfxPCO4AWIHXqXiYmnWCDuAGZ8VSBLingiPAjnYgk4blMlSoQFk2OKL2gOU+IgKILzA9HNuVUELfgLUHfLiXg+WOAbdld6BF9yqjcC6U8zGPn8ygRqSwIRWe+OpTioF+ZcpfqV4jdUg8g2cw4aWzmsFh6alTZCABdXnH1DRL5j2lm+o7sRtbY3nDEpluHmGpdEOgpOXtLxHbh9lsuSKgEJMVKoiJZkuJqWEaqqEDhkD1GxNF8IQh2pXH5Zd6MIlfTKOOOdH9RiBXCMMXYpdxCC8pkQKPIN2xi2Bg2pixXkK4d6xUeJB+4QVpL6nDEcICcGTd/MVKOnEGHYhZGJf4YlrUMoHYUFsk+nsl5LoV5Dplm68RDtJFoPOxndbVj6ZQl7OcH2cX7i2ym11ECUK6ljtJZjAUFUbHMRaBSEUolvwBYE7agcMvlhaqj1ENaCOlQMuFJUG2pYAS02ZhCFjFSzgxTCV7hakYgOIkORFXJTGWaBVPozox1BlFbLuHkqAbbIw3pL9l6hMiGiqYBRGQihFCrglLNuWKjoiJxFXxHv3wAlJfKk47fmws505icOPM46KuW96tpS/b05HsThwmy8nLCyEIPAwxsWFeWGbmQAEjuh3wEh10WqZXCKe+NC1uYlzql4hKtXcphigDGcI0fHHPFKUCDa5ihuXAz3yRS555uXmjzBUE0bkri2Kq4ImtkpifuIlAKfglgHkML1pS015gkOCHCh8rCE9zJZS8MuEehSUQJgXZgmu95EshDZrYJUphDBV/wQJ2DgEY5Owb+1igKnPAl+jWwt8hK1xqroXMkdJ7RB/cXDuCJM3lRh3xHgDVE4AX59kWcKRyAz9w6lQI97OWFw1LtDGXGk8z5C2zh6Y9pUtQpDEz+WqJeZ8ZSxuIIWx+CUjUeCoa9EWVKuAGTLicrDOIyxG7QxtkcnXQBx9ly65mN7dxY5E7Z3MrREUVMAA0I+RW+n19MCqryN/TELCLDUuIYEEBIyKpQRIQHKW9ygEuFxmogIiOWJ0gKZXFCzOUodoV7WFnB8S4LMGkgIy+jRomslz/VAQEpQPVjGIJCiOvaaME2vUVN9lQosdyjtaDzXjfEsgAHWVKy4CANNgeNZsCosuBEVLlLnK0+JeUXCa0G2Dsoi9lv4l0cp56NJETyIc1HwBBspHd7riUICZR0+LnGHngO2jF7YeRXtWBYlhLbeBER+pUr5mkIPJ2rauoHX3HIZ+qTIfswpZ2QKiBlGYUnO0H+Y2YfJoj7GFvMeIYhTyy9btn1TFs1Rh2PLAsdGUo8qXVScyRPYgUlo45TmsRKwQeq4mCsH+x/sZQXgV9CIRFN2kTDLYYvUE9AvI+XTNhKY1iy4TUZVDJUFKV/ABnweaGr3KpkKCGJRsWcIFg5CkBN0TFcIypscSt0Xl3FTpDBeCksugUkAjq8vagpeF3ysdYXUHOCxcz0SnQoonPu9y4biz5JcDkwkRXk2fqMhyQgOBeoT4jEQfM8bFtKsxGK9SouowmRBFDYGnwlktUdOQumUVCw1SGbVyIa/MX+IkojbaTX8exDs+oYwmommq+PbkEta2aIP9iTBgLzpZ36gJe8gSrIwUCjnzB57yMpXLiVNlVAfK4uDuuYeoodQU3sBZQLNiAKLiWImxdXD1lHEwORCuqh0rrhGGqEsbXjxBgI9OCNbSzXb9TK0q0jUe2cdxxOp5iUsyJn1glF8cSmKrxKrj0XBKOd6iktO0pOC0vFq1LTQD+I19GzdCwbE0FM+hKYqnQ/HFrkAB4ZUZDiuUsnAxigKWDN6Su/IYJ6IE/DLPltvD1+IaKKZYCCZxEr+kNjRMYM1EsEVRuDWLYQMwWGrlS43VAFlCmIcQMIIYJSyrZQfkpUUE0jzmN2UiV0QlNKQpaDcOTBSqcueLTQ/hl8SCRDTHuX0A8mWdwLMtxKCX5Mn2PEDoF0ub/8PEr6gmHO+5qi7GUVcleMVNVsZRcg9chrqXyDCXqBKl4QixErC84uyLBaHUqBFVEGPkirzEaCqoASBtqUUaWAKrdwdo3tOiJ4JSHz3+kjVciydw8vxC+Gb2RA6Lq2ZWIAvFkV5iMT0p95HhUDjgvkm4VYgmL1MgUPcWorbSNHCYwNMPvUnCx/qUkKn8wY9EbIhUtjyc7FDmFgAOkhVsuEB16IejeSVAfIl3Qs5X/VbGaFLpyMQsbtNYm8cx4l6rZxoNi6+2WYbVzHF1gUjSQiejB3Lk/ZLCG5ZVgYwgYLdqj8ypWLytV7WdEg3tCqOc9sTioUWyuXwYYRP28pIQ/uJH4uOP6gpeW460oP2+CLWG+vuK7LDZ+xNcAD6siumsfZI1oQxKpoTI9s3nC0FU03IO1IsaLDYVLEIs8xRSLzccLKAqYwFjhkA2lxNWcviUgiAGUkrtYO8xbyANgVm5bF+iBYcuGBIVDotUr5LMsOYQeD8VyXgzHkYQ2y95J9mUgi6AbryszZYOA32tdDMJ76Q5nq+I10q9x4c9wxbfiBQFNKBtUeWvEzwzVsLeLYttRXAG3st1nGBAYkXHUIS4WmHRBCqAd5gxwYrWCXMemCXvvFTk3sjkr0XesCTalZg4vIjd2BVgbHbeqGKggj20/shnWgAKraj4BYQivNByE7shZwFiEXfq7iroLgEElTLKwiZhTrMynGHw9gHEHal9R6uEMWncT8GuI3BjQjMqV9x0T2RJavIgF2jycw7EGIAFHhigKs+lQ14tsoXytsAWYsC1P1yNw4MW4rqzTe1bXBYoD8oPjVaxNVT4CkUdLLnCB1QBwGTWCeS5+gmplhXogq8nBHUlT9pFs8NSzZpNQOGmWB6m3ooqCnhavs9EWBca9xBIRsOsqLDVTmHnHUnUs3RAX+4+mBpRCXiJTmxmXbN2C0BMJex7qZNfKOyx2FiesKmE+sufUcX8ZHcYSKSmeUQpNje4kxnOIgxiOXxMaiaFX0wcbdbVtV7YQ8SgldZGFgjCcFfP4LhLRQE7ZOd7qB1doOo5q/Mbbay2EtnKwe0r9mOR/HK3t3FxmiARWg8CWV2Mq4KCNHsjOWss6JAajG9cS87bIVGqGl9EWEvQyDt1HWCre5YcwrUQamRaeQgeXEIaxxHFwQu2RUo6BCVPOaM4A/todi1aYV1q8vY6YVsEQgrbpLw8xPklqRFfZyRlmBsCUHimAy9HuXRK/ibzvthpTMVl2NU0W8xtcorstEhMV1HjgzLxRESk0VEy8cUiQGMuUs4qMANEcwb2tuLAWjY8OV8QHSfcxpQ0dbc7XOJiDUFZGnICA28QlhgpUHTyVjXoMUFeyJIjKS55tDNI90US+ApOIC2ni/MIHDzplPzOcn0wzxN42GRYlNVktNcM2vll2VdwLzuFboZzldwwS2mwnEMUJfD/KqhSF1HedkDJGxeGBWKnh6YxDLxNiFH5HiLR4ZVYiYEruBAFUv0RNlUDqWJS0jZxEhFhUhWRYlYwephmJJ052qNMj2xe8djCPOYg1LDwI+dsRLUYGQDhNfbMzMQjZsTXZBMQv9a2XSf1KNCz/gMMKD6gVct2IihNo8HZV7L9AM2u5ZZS3LoicjGyacGJ4iuEaV6nP/AAhTBtiS4xcvTGOv+5Za0uZFnbjFVIi7+AUo5VL7Bi0Uop1hDjQQxrAXlvqXKwbHYipyk4fqStIeJoYGmW9twe4kdohz1/R6HMrTCElIzgN81My6vBUfYcxHYHuXuCnQQAPFly6/CVMn2IV0RxK7uA4hCIljDU40xiL6RBe5tQgTtlxVpxEIF8AxkNRmzveAChxKQWGXhcprSDFipjpYZlj4l4e9HiXdp2nDSgLhBVl5Odh1ITh3qLI8hHAJZmoISNz5qAAfbGwNOiyIAWsgYFHFiEjctGWiLxhgbCrlEP3FMK9GEUdoVO0Ja71/pD4bbFo8GIoEKcZdsfjUCBrf5EhmmKaeEnrZAAqj1JwMvrwrt8x5UVfFR7ldMoXKC15EfdRE5Tx2SgceXmIOEfG6mrvJUYaJT0WLWbKHiAWFj4TKDYARLxp3HEuopsKi40EqrI2F7jDI1LClhwJdDBrcopAt9RCvuNioFUh4duAE9wbqbL6CBuTRk5yIMoBmPqWYc6jTQaPFPctpq+s8xTCvEPxZ75EDiLyaz8CCpRg2NBqmPIHMe9X08Md9iLeHSHFaWRqwp5VT8lxlnjIwzOuSc2+KMtcqLUYUIrQzFGUBqL9yho/djT6h4NiuLpil50YYAN4AJbidLGQNoj7EScp4gxhpCTpOxC4y/DkoBluLQviFZA1gFdsZMw7cwK6Z1MYnVmtglc04CyuCAqEzgFRE00rtPUBLaniOg++ZWAVhF4z24RTYKqMRowO5sJ3TDuVGx1WR0g4OoVbbVTE0OSGeAcWx1KTuoOSr44jTRXyo7aujFCo5ICi2tixFeCJeUpN8Tel3Bcr5x2AvTCNFVBuSh3LVBeQAz9rgaVGrvYSGWi1BUFeAyEAafbHmL5quo2CGUB2wwc2t8wpORl7GN3QtDZasKP0l1NdCUVsQP0wrgqpNgO2YyiiyHLTx/wAH0x8ZLd+RiShaNMufnaiDOJ18Q1FeTaVvJL6kp7jZAizdzPktiECXsr2zk2KcxxS1M+YdEPMsJrKRsoOxJDCRuCK7DqxBhoKQKGZo7F5cCP3FQwu5ShBR5i0hUbUUKE5+ZWupFNHX4BBLdoTXpDeMWmOeJouS7oDy3GyOoxQ3Y816hs9QWzte64vxOM4KnS3X1cO8BWeYpY+KY1MirACc3Zys4h5akIWCN7VBFyKmoWUMCS0NolT4ncY7E6GWFroPAv14iKyqwoeAQl64fx1B4OQh+kdUemSQr+C437ZXQ06Lpz6Pkh63hJu7QfsJTQzdlLJTGFVw+fRj9xLAFpOzK+VaVMyCKlW8k01fJ2ApyJbGnhILBbhBdCeot1Ad8LEYKN5Uwg6zagpKkVNAFN8CFl2wlyHvG4BwpGHUPN64gay1Mmyd7hYMwhSgA87sKPJfCbXKEajbdciAUPTDq2gnO80SsatBZair5NlrIWlhFDhyZd421rOFUjQTLA9mKU2XxG5RV05EYV26hxDJmIrgZ3sW5uOP5phCPHcWzrEt6a1joVDRG1BXSeGIfOB5rhi10KBXsjCohy+xjQtBPQI3vjsPQCKI+Lj+SM3BZkwAeydLdYJBRRvRBuHwTCbSxjvmFCDpi7EEL1kfMShsru4mBfuDhcpN5jckzknHpcxFVhHDZkBE61wShQnIuUQA2Dtdg8kSW4c+EyBO60fUdpeETBBw63J1Od457UtdWNU1voikGwDyPL0QPaiqPMJ/pj0GHI5gCKC7AlLTWXyr8PMaEBdeoAwh7tEqQN2h+8oVoqBtQTRsffAEEgzRkSULuXGcdmt8D1FPtTk4JR2Q+n2dMG6Gn3GlTEOFk21R4SYP6+ZE40S8m7Xhznkg+htGoFnmDuUzeQvQlavxiUxjAHZKCoc8zg/zEGkV8gWllczxyqXftjUQhTjAClYK9Q0YK4I9Gi8RfdLNlIta+IYXalOIyeAIL2djfawj4rpainSvrfEqRHjzEixb9o5uAoeIiDjMM7rsju9EuOcEbBqUgx5IUT7WNBjbjNQuqlCKGVH2I+WMtwx1SYuC9riDEADWCqajB/cWYOQv5maKFD+4FuqIVhyBduxDM5RbK0JivGxg4lqX6ZSLV7xkPK7hSoxZ7OkAjiJrSN3BnrwdyJwWdMUNMcJUniEcYUjGKEsFytcRB5SNQya8QpTZE3x8NU4lMuKYziMaRE+OKARHMCY1ENUBCoMejuEYkKmIkzSDGiU+WKo4e8hfndPMMTBl8JDHkSXtfXuZgS3QMAS1kAJr3OUHswuKVtCeCgCob8SpQlaRwoOCU0dyu7DmVDH7gcJZnuaUARJKJcuo1WPqMOdIRxhSZyBqpQOtlRd9mQIaXbcszpvZ5lLWmsaDxa7d1L3hyMRwNzpQgs9sbdJ89sTFRyF8QHjmWoOJ0A4kotdXJ1LxZCzrTGpVC+s5nXzL8TLk9MG1DK1FEZ8ciGEUZub3+Ut+GPoCtaLywGxUCK6hQsVBy7D+I7lNSpekiyvZeuJaFa/HCVxVOp5EKqB/WOG0E9kDpupfRcT7up7Y4XlBLbPNCJdrqZoeyLWNDLwMQpq2eIUBax+mAc1AaWcvaiLM3grZXdzUr7AgsVC0LmH+p3HQjIL0wvzXBECdNEGk0mGwuNEq0wB7PZBUNGL4ZwcEtlf7whAq5n3hDhmA/bhjacRweGIjtohFTfXqLcE5nlIB4jCpTAkWIiPD9xmiQJswlYWvCDcg7ELEyVUi7gEW1wKhUhg9Mdtj+JqwggAw7GlhWxcFp9EoyD1a/iJWhONX/cU9FbYV3do5re4k4KsboqaWE6XJoh2V2ZWlSmuOx69x3VtFWe0YL1FwaViaHSNiDKt4iNRNWMJiTUpZ3OFsxC5WASogahDgSqhPcM5ARPBEZsi2bdBSa24phBuZUB5D08kOBrzTE5B+ZWKeFN5EjFeiwjOLGqIk7cNdix64Cc6/8kfKhQjyhIpjE5lIqLCIHKjKio1LTUvCTjmuT9IqpW5ce7NzV1TlhTOqIuVrDNeJFeobCJ3CywenHqJpBJoeYqgPUYtLS+VY7RABgqAXXZLiIJdyAnpQtdEB1ijA198bxETdgqJW3pWJseFHfWBwcc/UWgO9vhjIlvSeSCAOuyEEwGYpN6PMGR7zHCs4DyERNGajfxCrdyOH2+YpQlHgH6lNrQKy+O1HXyjGmPMGw/hiJzNMEDAhfgtPtRTAS+1AbKnTxEN1Xco/VSxiut6hWBcID7IxkrpgFShQYAWhsBSFeqMZTUMSd4YWRZDNEqfAzctmQqwts2NtmMNPUSSHEwNPlUUIK1ds8Rw0tNpeWVNQ8mVkCLGwdSgbKNoVtHk5mPfeFbbENaQhYZf0B3QC9f6IkwTZrWvTz4ZSlxxhPbaqN0kaFppQsxYxbq8z7WaY3tdULLCXVZV1AnZEoKrVZSHSagiVkrIsqNkLuoDQQHwQ6gRrV1ctCx+Cg+21hOCeLVUTHVNzlEHCIgFQBkEtWbCKGpUCkjNst0cYxoAsnJ7Q9QQ7QD4i9tG4YiAIXVgwllwjdOCo/Rep8y05alEEWwsAQ2BUvq2ICvqUkObPVAZc5Cc0LMIbDxcXTSVZQMGi7g/gqX6Btw3NtwzVf9ctQ5B0CCug/sniJmt1PB4go86J9wNMYEsEKwoEq0D3BItq3FaQRvUueygWnSkuoGf1Hl0Yfzg0QrKEwZl7kSg7F6VF9o+YzXka7PrxFMuFJ4gN0rYgXSmiIZFhcBjqjrJmAOgxFtcmQ5W8E5p14nDOJKIwjL3bahJgOEbh4J7ZDyLxhYIjOZg22VFnGiqHiF2aI6kMXFCkO1joXK3zOwleEcAiAgXEYMGMNUTXSEQqZzLI3x6ilp7FgO7nDn0EbWu3Dg9TaLdvLcdVMMBhXCOrKpAgk+t/zAhrQ/qBaZw7ElK0+K4d41ChSwTn+hjtByGjoJgy3KWIKMp/BoOU/UKvuORA+PEomgW10ON6jJIlXv6hSFW+2Xc8k4rijghDICrYdgljGpXolhBrbktDZlmjViZIkgNVvAMMr5voA19lkIj8haehLGHDwpsfRsbHjJUfhl8fgfcT96WI1r/quBK2tA1hqDbdAjgaf5LgWO0p5PDDng5xMY0SjI9WqCXzGMXIawrhYAampRPFZcgRRXqaDGjDX7SA1xW8qgBECOdAZQErHePSo4Vg3/og3GgH/UEwoK+5ao2PuD9LrfBGWOORl76Gc5w7KUQAdse4hwKN3fsm/WIHmOC0EtTYPamArNnEPlHNowTTswS2XtghQW1BVlUJF+54PEW0aQhd9R8evQh0qKPVlaeTIqslkxH8QLFZkoE4ZU8WK3PLPe711Fkl+XUI5SwOUqwwc8MegQKSaIYBbrm5qBKj/EdcOeVUYbApUXlhtLMajChZPivUsHAOpohrichpfFxIJTGZ6htDmOvTE5tSsW2xhLaKhUHMvVRm1AGQ3GopkKyLHH3NP3HydNlawC1CEZ14K3X1HScEBXpBRHZ3h7aw2C4KVto1b0JdDAikQ6NFCWNncCpBV9WEMoFryw8m+Ihe6nRi9sB5pgLsFKhi33B7XKIq3uAywoM4TdXqg3D0hWHDJCnmgNxzQ6JYzLaHj0GwaSlbPNEaLAGzZ1ZdQqYdn/uCoZIZ9wcKzVhak0Fk/wBgh012/v8A2Sg9xOitx2iwx6qIC0bs5JZRvThYmtoPlXTyqbqnXlUrbsasPTnqowMb1NXTwibdV32wtRz3DC8lMHXZbDyS4RxV19QAAlAlpcSXfJYRFRSqiEF7MYay2Iwq5h4BgPZaqH60gfCHiLYObmwTD5lgKgKXs5Rzha2W1Cdvj4hJqoQxjHh3us+4LoMzr8AqN8Fll4HQSufVd6q9Tt+YXHQeZX7GDUQ3RKwZXnVQOFjwUqhdwqDLCnDKNsRbAeMcIRuGWObhHmvkXFytejCZsXg7QApe77nGId+HTJS2Wy2K0QmzNpGaDkZzsviKSV9HcqKJxBx74LhoQhFnHTrmPawSxOIJwKC9iW6yPF/cM7yC84BTWQ8GaslqhkFrqxPjXGJCR8ECowXTGg2eYGWgJ5FW6vHsjEr8tzOIrq7DsiMcUkPKV2fHTF0ibeEOS5doUj8k7jfhHEmmzJUA6RTcUVEvbNLgHeuZdHbj0SnYvlYcwnH5guv5gzp0vHDZDKpss74BX5qjk18xfvsZb+UVX9aAlbF7PNbhCyRhvwCPEFzWigDislRQGkTzDXq3xPiVQspFCFDj0opF/nZlUvsotP0RAtC0OgX4lOO7QI0Uwdo9wEvdY1q154DHgmzOAMQfpKlp5ABixUeVltYhVcZEdMJkKFcx0u7MajxtDIy2IXyf1GrWkVo7rYkyc5JVOHqKjK1ZQEuy40KjlXEZ4luFlqaW6XRCHVm3Kg0/Zj2wDFaI8QIaUgly/QZt7SPgGRPgeMqUiNHUQYbq7qJTxQSWFJUtM1kDKh5f7lexfCpPwk3Ms6hSVI6Tt8cRFKcvC+YIgBZUUIC8KLBBFTm0Iwc6q+hiQ8wmlkBpncJytg1qGWpV2WLi5JuZ+IIi7IaDRpSBKJjUFnh6Y77BGoo7smAZKrBp6iI8koygxRBhsgLjiMk8OSPirO9tla2A3Mj+VffZERbWgkyAUUWgFoZi0+C7zQPDKuFgpuFU2eHlBhgqhgZXREVwv4RnBAJnBUTyBtj9xgNtfAAJQjmHYztEKfPBhRYg3TCU61UJxfqUFnShq+XwdBLtXEaRajsrgWLoC1LTiKTcDYDyFdL8LLmJUoRq+AjUKUskFHL+z5jMiofaQINGUEThCS+J7Y2qWV4Ki79JIE5+yYkXIBB0F4LxUEZ0fvi2A+Vg7OknXl/XUusgBe1UVRQQTJzoafTBk/8AOkfuLnIMzMut6Ltx11FSL3EbmLPBEkBDSvtAy8a2B9ByXWKWKySoi3fZbNeymXLRFWVhrBbq4Iiax+JkHADWrhBZe7L8geUPZL7XZz/gCEI40rcqsg6EMA9knD/zCCxw2aeUIGaQot0IR9MH5jaAyVxTJWrQyjdwwo14YtDYRR/nmXLg8yoljwStmGAPealhjLhFUUwtAocx96gI9msRIlOUJcTsw4hUw0WTekFFqBGxFciVQZGq6OxiMhRd/RMXQAwGEYEYu0wyLoxpZb2GeeJz0R1TsJ+LGCoPMGpheaWvFhcrrBFNIvwM5SvuWcRnnMh7ENJWlxVYupV4YjF9XL7MoAT9kIJqIKUDBl+DRFpdMZ2NiWVROtJWUKja1bYdogZmK9JYlV8ZFslzsbBUnZ1CYwEVYpA9tquNQW0Hgr0qMU/xxTCP+iGQL4tl1b90Dl7jgQTu6c9hryRQCLvlwZZv/wC/8GmyMFKk74JUWWykIPShDg5co8Vyx45egXsQceJOQXGA0F1d4vUH7cGikctGuEr4bLv4o0QdOHDKqoXAkV7gvwK7DgYFlKjYUEy1FARM1NEQcOJdavxO2ZYMVQcOoB3PiYmpmSoaqIEeOo5uHSH6uFdukPQFaLNYFv3DhtfMarGIqGr6qEsHUeoyiQrvCo5SnnER0FqjkfmXWCoXuXrT7A+pcrBuroPuKqEWnUWyDwnjqXHBdFdBwSl2tpl9MBlbGxUQEAM1OHyQYuiWZMAASNlhBinUzA97HCG1h2rdD6n7uE6uBEWkWhuEt9QGW1LilJ4SSsG4kQBctlaiWRxoioBK2BZGVioF6wSTRdemCREqs8rKI1uFQVVehiB4jrpFa8I4cKyQjOeYk/fE414QS4KGXC1N2RbUIKwcBvwEsMS+YY2LhhQDUZTnGZtniXNXu0tfruAhMHNv5Okj1V5fuXq9xPMdiqURDsotGSoqqOvI6HXzHiX3IJhATLTEJGHwb6M9837jMzLqyFJbAvYwmFbLkh3wuBxoYQS/vDVVkMLmv2nZDxqM8ct7iE0qC0DLPR1K4vvdLSQ9VLja6ZP0in+HC5VngwzZ3NRtls0ddec8u2PoTXuVlijfahqaRGrupkHEx9UXxV8HUy/VDyQMaOC2AmIoUqjSX4GcWrMvFVn6gV7Umrm95LdkRd7BDsCVkUQcQ3mEizyrBoUMUQhMI3R0WxInID7koIa0Rjnf4TQCc+VyqBonTs6iBXBISYu6uLXeGGpaouKwdLSk0DTCKGjthLkV9woSX8B9LBA14tx9Rk0bwoqCFmNB4Xmbiyr9lE7SPGmWpKmkvqrilKlQCrudFFgqCX4dwEHQAlmoJnmVD+YrSxc05oQljjULA6VX1MyyIoXav4SghVcNvhADsx0LYaxZeovmWbwjFXkssPSRBIquKzuoUEJTuEUni4JBI89uL+4SsIqryb1WpYpEiB4lTs8cjZhpZqPL28nEyHb0My4w4YXjgdYhQB2aTQVG/rAbAlpWdGDpteIybJhW54qbgsgFStQ8E57wfRKxxNIwIWd0NgSwc3ARKZIQYYkrlhGgMstlYeLjphLGzH0DC4imQJsrVNGCrYU9wnLEE+orI4S3hSMpKuN7ImEWyg+yvcugDDsbLeyBIJepZaH0winSO7ItsDLHV7UwBUh+Qemc/NOADp6VKb9bZpd2dtZUb1grTAGiUEab7mAu8lq5HWVhoorZ+ITDHDAgCF9ZSp9QFKQqtoscp7BMPUv0rO2BaUe+4RVJBdPdS+6A2KIKnGSgKXXEAs5BWYLcbYl8LlkS02RjSDABMFOYvlIZftiMhNEJYS7ijHJK0ilhAhQhDYndTHaou42DU80qYhpl/wCwy6vAb8CBUG6KcsCAqFtOoOoFkxK1D8CAdwwwcGYcsiwEJUpzETLHJ0Rve1FDgFyt1GRwOZqDcBhUdJQvpajGTcIw/JHpN8DCksuoFZEG9aj0kZRDVW8Qt8kRnBezrFzIOLgdzHiXcBHNfXcL0Dk8Znc1CiVWaJPACw6oOyCJvXbUjJOZDwkVp9Ef7z8OtyfxHZON2hvBkIxKwbhoTIVpyQKQf6MO6oGxSK8ym2ujyyjCqYV9iUqXKfVYgloaRJXxMiLSBi76ghmNfM1FSigEvwlnKJmELQ0MECB6kVZA0NsJwTd5GJ0xht4x7sqxLAjfwgl4jN2XEeB/Cgw0ivEuBtIpOlPBj+Lvu3qdPr32vaCTqoLYqQ0vbbmONBdUVoGF0oRpHSKrdVgl6snLIGvIy5VhTibmiWBu+Xm9CB8ioLDyqmZLLlaVtqwHhcFCkUCXYiJTQc29IFvBQg+vaLatLEOOFOoRdOjX3DxM6SmG2pzSNiROVM9S0FV4HWbprc+Iq1tq4oQwdfCN4WBkA3aVojb3BaeYTj6nv6loBnleQR9pXbfMK4UVp5IW7HIBSlMjxDCN7DCKaseC8Ir4PAigvekXUrqH+IlC4ANLfqMZGC5e4PyIa8x33ll6JcNEjBTyR1MADtOGC8TMpoLWEQx9NR/V4uXcb7nGVw8RAqBUMhKMtlfcF/TySsORcUjeiCUaY/AOn3BUCW2V4iEGPSocE69gF7RKVcnvkGaUvilSJfAj5BaGvrIpRfsuX9KLLwaGSo2Uo9ByRfqNAS6P+Aw+2Zfovu+lhK+gYW8qZRSxXIm3MWWRYCS5mKA76YoE7Uk5tbeZZK0Fo25ToRpHywvDdR5iTSJc1mJjMeOCm83K4Gl1cb6oRJrxFbVYoULyHZU18ECCanVFxzLZbGxcYOwgkGjspYrfiaI4hBRHUi3NRd5mrii1HXmX9noFdwSXHubEl1A8PmZrVoaSoJu3ZcCYxGrmMpGrJVgtUtsGgXnnsqU2B0CGl4BYe+fkUDycHImjArW6NYLlxAOWE3AcfRVEwn1FORfb4YAYCtIV7wIjT0uLQZBLP+UiBdyFnOGGjzgFI2ID7YBhIE5YoHKoWFMi1XXiCkrczGpRGqUGxuFbCiB04iUrsrIeHZ3QBUQtbPMftnZ5iinGNVhbK10YahvJWYQNqHVvCB3q4G73zF29fAQ8ttpcTqs8WX8kNjF3ACUO9Il0SqBoBeUQUgKp7Pc4lPFPMEAjgL4ibKg+FbK0fKTQStF3L9fNXqCQIVwRanbF9E3/AFSMAbvqEXOCeZllS7LZy5PTF8AIl+IFBoOVODFcMSoqH/1I2LK2KsPuFVVTuIQ+liuS4kyXpw63bHFuZlpuGClEtIL2k1oq4rTBiD8UNOPLiRFkKsjwT+SFKC3bV+uYB+9CowELPtDmdSpLtqvEDCb/AAHlmtja7MyGXxzKuwdQby6yXciA9Be2DFKuiVvK9OI7jxpl95it0nJ1X4uLnKDfcW8DkCrYzy/ZLOC7gEnVg1jBPXxmLSd7KAI4CJ0RhKKx1Cnf3kAFoWxb8FkrT2OokbBu3EDqBKdyzjp8I7CkX1UELL6WQpcCBIQoO2eI9HgX6YMYFFXF7+4nWxplz2ZySldH3ITZjuXk2VhpD2ytReus6LUDvmHwJVJ21o9j0zmARntENlB87YiBrrrwTrZfVXMAJE5E1tCAXNH2MIZJ3q4bEBUaTg7EKZ2hVY2iDQVShBDhCFnhLoLwuPTHg5aLEvda8Ntxa2knojADbqD2gmQVZTCGJ5JXKYQr6ipYub5xOsEfWLl0QmXiHcQ4acVFuNi0kA0w5bb6I7rAl90JaVLqF0FyyzoXVsOMIS22XxTsgICVlJqn6lJjjGrwuABVMLU3wjtXEYCBKE6MVJfJUrTACy8IDHHxMlu9Wj4ZeBHv+iBwq3r4hVtqciqBy1Hj3FvCjX+yOWxPCzEat7gyt6XWMZpzE2pc1+p17S8Q2Bn4SpKoV0lDOHcuJ6QtCdmFRdRUtn1Bw9xkjclIda9ymFVM000yqoluaUBbY1ylGlNRihxs8qJzZb3EVnJAMf1MWXAafzMNz7jk8OqNX7o5Mm0bXpdjOPNR3Vj1CrtpWiwpZmi0d8n4YAfyKiIVs5gRMSjpg7W+wgDOY49kepgTCvCXQ7lAQxewaIl0FvwIkBDUU4WVhK4xBARBj7fwMHI2IWT1Ke2K7NrioPSNpcuNOsDWoLFJVtg7zvnhQVh1KjuwtY7bJdoKdDEZnZ4YJe2Rhuk89THw4vJOXb0XB19uIQBDd7S5935mFd8irh7FSie66AYWjuHQRoqCcXTN4QW8G0+pSO4sUste0lzoZJQSjsF6ZXEXbOz1YkgjhSKpMeleQQfVivEx6YAN8q7+zEOkuxVkS0ClfyIsFM28jzPxAkJAQWZ7LRfNRXzmWRFz9xTOip1KkV6pMj4aQzvE3DSOLGhomBaTniIKurJh6Jz88Vd1FkjekRrel8gniHcqL/RwxQQBvzFV+DMHdgXY4IAbE5xL2VaKJWY5OB6lscG5H1ynEEWaesjHtl0nwgooJeiYMY0iGgcJGi5F1DpwcLy4EvjAmdPa+RhoYS8XAuYArnY/hlNWe6MqLP3Hkq/B/EapZ8VPpb1PGXsgMFBSanNxxJ3Q8QlYT0n5YdH79xa5XEeX7tjNkBxPTUn5kbCtEQpS/Y8oS3L9oD9EbRf7rzBdlkkfYtBuRCluwFnAgLYi95JelMdt7YyGUpEAY0BldI/sY8wNmrcgEoiLGpZXxZsKfJNAEUNek8UxEUmTcksAox7YeOY5V+aeG0U7NqARNejmfbNJiZIf2o8ISmV80yzpAG2AoSHGylUxG2KIlZAquuYiRTyxbNuCGhXlUBFBmkTfwwxau7VMVWLkja1QoyPdQb7iMWxHMx2JT5jwF/wj0JQL9NtXugQ+TlOm9EW4xEwNu9NGAl/QUqm1nmNEjwBzwRIbVQ2BjW3pFlHdrihdUs4eSVCoBsoPIisIK57U4/AYWBYxexpVoLHyDbQgH8SK1NwA6wEdLORdEUy3f3PZbVoPgeoEcw7tKSB4WgHD4h2yYTUgf1kPZWo90yCvIr4GClS8jFKyFF6yI2YOkMHcyAzQ8xM0VCpNZ5K86BG3BUKUwKtxXRgePtiIxPMJL2tfAjfEAfySsJQ3evcz+Vr2PFRa408xKgjocxmHItYUcql6UeUeibzCUmHCx0JVWivLUhByApZ1RNZYHNTj1KjVNHpJaM8MSyR1LEl/O8TqOxgLJ9mZcOkaRQzZTBXXIkLX1UF5ZLXQDviE0acxa3zm1CUCHslyYBYiXAFSuoIGIsAc9xM17nnmr+yDuDQuHQTRgBdAfdwn0ahV+y+mW7kGHiXk0qP+40mnQcrC+OLEFfZxL3Rq3KXTFRDYSjItJoUOjxfiFLE3dvuVyAwGPDPb4iAEHCLxFswaRuXFC2DV1G6834GM2w+MIjkdgFfMR2QSlirljvWAIQUEaqMvYv7jyPtRwUOgWOqAd5RLdVTAHARX1LoTOxHd/sdwmz23Lz2toUwF0rjtlG1fLABFZfhClmlq5JYZ/wDt2JSCKFmPOGBbmGEKsIellGEFGeXQjkMPeT/XCpU7UGp+AFj6H2mNN2XeZUGo8MWAw8rI1fZUnPNBMkrHBYyjRcEput6lgLuGxyUwJY0cfewnaXtvHa0PQmvOosVqqkTpILDX0uAJeqsnXviYba6GUj1WewSrmc6YnAyl4nY4TzOGg9NfgYd5ytXK6WBtWpfgdhhBQK3rmoBblckBebp4gQQuYeIVLgl1HMsJYipcY2jq41Qr12ykJxg4IXutU8+WM2BbudRrIGga78Tiog47Yy6tkEwRt/FG5iSh+8SnKssnyhG43FiQnDdsc/sFgnC4pFkuqTcjBS+C4EJu32CDAJTyy7CjEIVoRTQuoy4paNqTqbldBo6oPfYkGjuJ2L7gnDsJNmWawi0Lt6OCNfcMcR4DgjY/DhFmG89zkCfwP/DCW4nhXis9AWcyiAWDU05YNlME+ZY/iVAkaSmmDyclzjTdLgeAKICNnV3sSBwknQ9zXUXRqsg8jFq2HVxRPTzDUaO5bICU+/MHMQgsQjxKOyxpXUd4vw115YZBK2c19fz1cE6MS1Qi7KW1JXE8iKUgnMKqDk3DnwEQWsIzDJLj8D4Oc9SyXEhkmD2JrZq7uJWiRCVPMzEOAzFWDENW8JEz1tN5MXCNp2teEmcwrZfgOKQm+KwTMS1VMKdtOtuGq5oYPZFZKLK9RBXnb/IXUKifBweGrsNs6MWqCwM1w+D0L1VbzQwFdwKppwx+AsosvBvUdPUo0qnmxSDm/MFnv1pil465j9osWLSShZgwvwBYrK43U0bYxAeGoWpGjqMHxcaDxFnCUdd7wlVc5wpi/T8RXLlgT7LRZtsWB0rKQDceTyTmWfK+x8pZ7rE8EQOnhllmlzOQlV48Pg9uSuFGON+GAoCT/fECsQLsuClk0KX8QSlVH+tODGHCxWpVtNCnhmRzwvZPIaH/AGxYNSiziHhS1eX3DoddnEJyai8OrhtRyJyh0zghYj+hgtQ0PtKdliqhRRxrfJBGkKIQalWa6wfwXcEDPTah+S6pmzW4SllqiQOBqEY7s0hc875IlbYKviXYr2iNse6qZc07eVEPXmH+4lfwaVfpSFuadV4hQqOjUvWW49BPEk9a+2V3GLyX2zMPwlmCLJWoqIjurmZ15USrKgbArilpUlVb0D/SX9aDdKvCJgl2Flj7IEEsaeoWRYA3Tb1XcaO25KnkbdQ3SJAi1NCjXOwwjiDwJ09oFYGYP5AQahVY8wZW5niNHuoR6sSDgEf92Uf3LoI3V34YmKcLhUVZ/TEaRNFW14HynmOwkyP0IeFpaQeK1YzY1lMcMWg8S2rhGsLKq3PBDJZZK3jmkojVcK0COmQFMYoFiJy1RAsW8N1cuZIEd1hA847uWklEVdTTZeCIjiA2wsIjgxLLk1HLgGzF9UIB0A/KGJTUaLANdlPCG3yyWpwA8RaaFKdyxwX3HEG+esnheiVEdNGKByDx0QVhA+P7KrFP+XgHhnYnqDgaT2gWNqvCMuQAwpFwuaqWgd3VH8AwlPOwwXJXhZZ1zxgMY/dOWXI5iQCwPk7gkMV2G9XfH0YYCJ0J2gGD4h/emc790dxqtZ2eC6C446iFUnnBYyxJZPJVUjLmNG81WP4YBnQaguqoNP3GXiNnNxA8p5Goz3QA2L2msMx05IFzASnVOqsDplgWIcBZHBG1Z4epjf7hrZy4BY4cy4E+HdhwRlq5YVlTSxLFChYej3Noz0gPCbAwLWJDpUTn6fXmfBiVYNS5V1vcidYviUEYIzzsg/ARUuGgfBEp7UGCVcB5hMgWD+iG/FYW0g7OJE1vmMM/SEhVhrPUq1RzSL6tQwsqFM55xmaNairQr+U2bSiPyUpWBjFXIaMfSBZrdm4MwbvEfglYAPVDMnybCCVYF7qXYpTCuS7ncsMHKoRV6IhGsmDUIK7qZ08K9hFL+7Fvs9UCK0rtBmAFf8ytd9qW904VOSB4A4oY+CLgcUNSn2Ci/EqarZUs66tDNjFbXOS8ncUXBsAH8jG5oNdD0quLsE5shiOK1IBpy8wyCy6lcb3Cmjh/ZBM4dxGoRWFSXE0pu6SAwfr5YxD8ioEUVAVUFxbAjcmUaCMD4lOGI0Cq4U4jXVRrbJhiXBsh6IQ3yu8p9oTNydhF0CDOH9dgsyOpfcFsHwwmn2hhFEFDFkJy7oBKDrNlMkJgRqMJtgS6roPUUNoiV7jUkbOqgUXN2bOsdANn26hKDDU3wN62J9e9AdgN46iRw7Q0FWnH2xnpkGugTu3zA5vGgW1gDwxgIDyc6DTqOljKLKAhrQMtgUpQJpM2eExiQtO6rgCyPLq3A18myuNSULXO7+KUmxqzUdJdnd12ZNSDLYlaQo3UWub6eO3b7hik/fk6fI8zi9L0p6nNxTHSlJ4N4l+Y2tvyAscrgQSzirWFeleHuWrjgKoaX7x1exuF2z2opKxTaOuL+7O2UnoAKA9zx34qAnQY1Yab8M6uHSUsV07UPFpQunqM6NFIoe+Inc2QKnbAeSKDYRS3UNgxq/MxUqiKxW0SFK4hUZX9nUU4KYSsmwuiNbH4mVJv1L0H5kLdEDNocRY0CNuyFoaXd6Rpp1VYTaza1wiAdOHli1lVZXUvC0OPMt8BHdZCzUUmDmvR5Blseyu1nUuN8La4R+TxBMS7I2L6TUQqV6ho63DjUNAg9mjyRAks9hrtiF3nXQEFooWuUi6hxyTNEGWW/QO7ojYns8KVvy6lVQtI5Zb+okHep0JLZgwsZjgFeElEcTOloFG139EwlUyisl2LXTUFkeIW5Sov1+0caS0S+vQSBRZy9cBsF86zHPhcPEfH2QFvcStvgtirfoxxMTFC1ZCjJ4F8dS96jMB8hMSUi2eBnssPG4SwH8TyUmnQZK4suAE9x1VMYQ4jAK8EFRtCHjh4DFALwHSzEh2d5ds8VCARtIatTvEUnoC4eUVCVJFOkVC4Kxg8XyKpbBqpEhbYhFYDcvtzRpjjpTCcV1buFpHlCEYqHLMPNn4iGzDkOrjog7VC6iLaMBBQlvTKOotlzTx0JKaW3kojRlImnqaZOwKEctB3GnkMVqsfrYsG9LctrOCA7A6LqUUT+HPccxhg8VlX8XhVPmA8Qt2aDobBCU5uFr1souNNR7QQUGhFgWXQqwtagdxPgqk8AvwDTH+d+eaO0i8Shcb2Fg8ZHRtckxqRYa6qmAYHQNnVsfqVwt4zqpsXTBhuYCHZZ4HhiTARPBlwpfmH+7He5MzFRF+xYqW8RKKewIG1oHvu0bpxUFdPCXgc/pTLlUAr7E1BrVjcE1XORFq5pRU827Gz8dzr7NsL7Zy9L3Bbaz+CMjXUKaajrjTt5LuBdggb+4aQ6UsKP9ztmgnuazf7NO/gMv8AX0zj6DZKpBKEX3MmgtjazAiucyvQ9SvxGasPDccuBVDB2ZDSFDeF5YJKbQX9yHSWWtPAKjXKhynBgaAW/Lctj0AbYXqfyAmqcpf9xKwKx5zHolDa1jxRzL+9yih6zqe+hHLsG/0vSg02uEXaxVB0eTqLaWDR/uF5lPdsYY5Cu4SRIXVzpiSIs04FZalzgBRvm4K7I/LfUKQM6VuDRfe2lj9YsUOK5RWdDKheLGaFc9w8QA+ooAiEVcCoH0TaD7JicEo/LBYI0WhcA/JiE+LtR46DxVl8BkA05bh6YjcW7wCcoLi9+ZQFsXlTRYW+zWJ4SMG9itegF6NylwLc7lzx3EXI4eGt+PMjCjLbjoQzJzkdSy7TfUJHmdEFAqO4lqkouoHUHuqo/NQqSypvVBIdtSsQKpepXCGlUZQlOMubjuPQ4mQLK3l34+9FxFbDLcXamStC4lalPKKNyVxComUVCFPdl0hNSBuanMphelXUg4/tM0AR5j1LAlHBe4QjvEXrR9Rm43k8SsNVFGiOMCVCigFcZelWMg92jXFmErlqqYMLgKT0JziKRF0bb0Uqv7REhAo0LAOpWrDRG42XsXdCOdNTgUKQqO8dVLqDVtdLKNYqLrzJlaYzasOJbHRYEbPgHiWJKNrEz0B48IlsOohZA7dvKKqeLgvyDVdhBuqaQOcX5DY0i0yr0sGF5IVgHUePIpAmKWHW/Rv9QCqGkopPgjwcRIFPhL67gtPTy4GACaVdYDSk/fmKqK69trQLcZgtIzCBWOVU9s6BOvB7g3Nih4eZrztSoerepUAqohfF1Z7g4CBXs3VAZLLOGQrl6uWPTITxBeZfvcCWVxnsjydo9JsbBtI8vZHXFukbw2mDwhvDR7Q+OyaFGbEudhPSNULXk4hpSqA1DxA6ptis+0fLBqDR9tzSM22U+mcC1IdV2GCkGhgj7ojBioUi12Mqdg8ucjF+y1qtsTpCPCBFKC+UDWBmyuToI0EbMFcWR+DPOs9EuwhYwT6q8o8abRXyLMw2jbHlVvcPMBrsLVzQ7HdxQhqL6u59oXCCk+F8EL6NKEcQjiQPJhoUNwlDlSpjBbmsyMt/JNoWaVDobTDmUwVaUecdB6olMbWPPioSLZooovo4QrajwTzSR+hAIsNiBwPJjIKBeQLn6hGW1dPcbYhKC8HUQLiLsOcjNQlZqMdk3DATjM57mq8RSjojYFUei2srr3DmBLRGq7+EgNpnmXIFK9EqIKVEpBOZiGoEKG4RmAFUHrrzKjVYfKjYG1Zh87ZHg+1iIWBkvW0Fmb1ANqup+1CerIRgtoOHwU1wF2hb6BapF4q/yMLmxtweVRycqvk+JvNfqRiYmqVBNs8yrj7qCBoD8j3BHkkUr6XEHT5gCIb6gFFaqrEhCLwusU3bVvW5szu3mb2K+LQgNVHOcE5aVC/w5A610Uyo22SyJthJT7cCEELxSFvW6AlBEbDdL8D0O6JqQcc/yBYuHmqAdfEKrRNY1MpEuyglAduUkudaAIhbeCmaYMLWqyo2+zIeydSid20e0tP8W+jViOI2luFgYXn7uNTuApkxFcd+Jmp5Bjn3nfcr2P1anJau2KRLiBx5VSUE2nRXAXt1caNgYxdAHk6qOgbFgOgU/mx7UujDMLa+puS1HUOR8omZGzhPtF9pkEBBSxPEoSk1sg03C167dUPq6qWFiAXRyGlQQ8ObcLmE0FFWL/HaOIAU8MuvFxoRzijpASrWsAKeFzYpd0Xd34ZSgy7IOHIbEvAkLHg2WQlt3QduWp3tqP7NGmPtSKcPVpS6NKzAdslJkVVhbqHTQ/LMRxmMSoa265oPEe1+sBDY3AWGNoJsf1H514L6gviEIsb1DgCFuIhSbfZUOyBU1r7zBdB0BoagwxghTxS9TgoDZAMBNMKiwKrqBi5YgNaVwvwBKl2CFCCbXvbi9Ib+TSKOj/n+ZSgt5Yi2i4afbLCNNQF7FzrEniB2F3PZwEq4aPPjpuGmJtwAvc8PrlNF5Ut2EeJcuSvyEIOtgGxwiDyyMGAhPYirUX9thukedD0IpQdqiPesYdz0rBXgjNJfhmlKpY8UaZSITi/TtVFK0dR5WsBtbGyFFktqaS7Ll2fhWAAsSXMU4ZjmjkWioYwdxDKqKVxl1kRqNhhwh9zJWSbBDBWVNOPhUCJQLgy/XuaIgrlDpautjBgYYpwpxaTPraLwHJyZVPWVykqYEbJUevRIakEFrGLQcEqNVgMNvfR5NlEmCe8goNZmHTIUgkQjt5qrlq12UU8qShpVgVgMs+/GylHiyXo+2kJltAbi3kCoIPE8VZw8wvMgzzFKKRbh/IxuDCNNeO41i14ba7XM5kwjjRjZI0vb5FHjwz6/hqGsRYVyTS4Oa7IpuxFFRBcF52widQLVbwrV+CWXSARJ0sDw3EfDTDgHcgsLOYx0l1yuNYXqpW0FBeYdavcFkzYU4Ul6HzzUUj6S8QeSzLjdXp5xeO1gNZpU6TWsMnPWI5Q0Xk7IdamAom+AWDw1UoPqFx0mc8BgC8rStnQR/bBVBpA+Y7jwwzLRWyzodLGKl0+l6PXkQZRJGxwPAS+GNuP2IB8uFEWIWFB9Zr6Ja2IkQU6djUCwQKweL7HzUcy0YA8gdEorUTgzizYxKUQVB6yGAE3eVXGDglVpUSpbuuj5ZYk0SQ4JlZfUpWLLYS3+de7JTdoNSV02R3e3CYUUtOCY0PFYci+ZtskMQcj2MSFk6FKb5c2Vo98BTVbZXtms56lu6ugo4SX1cALWpbDu5yxhrKJ7X7UUAA7lrPrGsmArBl+JQvufgklt8YpFOeBUpyGuI2qy2mkorWBlT0lsOVKUaUm1ODz+ZUSC+IwBBp9yyQu+YgKmSXytSpHqgSobbiidEc831KFlSMxOqu3zHipY5QXOHqgB5libFXVlmjyXZ1llFCVtpE+iB6LlAV8RCtxXG7juK4UQVA1hFL8lE1hE4jd47xi662EGhnglWdthLfIGEOqsMFKdRtGp1VWLNbvBaDywhV3YtQwuspYgIWsjjeaJDtQ7j1xAJF6k6YlUP5oT1BaQq/EF7dzyDVLlgapvgXz0dkwoafkih1GeWquF0ez4jO1HeRc0sOoGCKEdVmMKqq65KK+LoB5i4DqDwKV1b+qiFb1OpakmDWURdVQ2L6qbxyriwcVlzRzYaU49FAkGrq3qyFOKYv8AgiC6hDZQbL18rhJfqtuUGoeKy4k2efyLo4YMlHw+CmxKK5EB9Uy7bVD5eBAqc4gtR3nkgRyUCMi4LZgzBWPHJ9DxLKTFsoJlcN8Tj0YqBwRkPFXE9sXUnBbwOYOary0QF3LGuoNLAc3ZnnmCu703yarQ66uFyhVJxqBoBbuAhgqLorZUbw6lU4R0YTpccBIgO6g1xGYLUUK17K3w5CT7NEoE1tmTbl51Y12CA4IxUiul7HQuNYg7Bo4rdDGcLNpEsvf3D1AoIPlwN+JwJ3W9xkJ8baKQpQu7q3eO4AiwrK+SNOkNVLZFU/UBxH7CvgjmlMkenENXAOSMp/QyFiyaCtDotcs1yHs5ozKp3l1wX1HPQsNYU3rnY6P2iYXGwZAt4iqDm+CJye6UtZRVK/2eK5RLaAVm+LkAiiyk2AyiyVfzDUAwBnQamIytjVettr+Urkyq5Ong3KUNVQ+52CIFmTjNQtI77cSw7BgtVUToReS6FaciCt33uF5K8wovSHEc59yvgHMZQxGvTErTfiWWCoCFeTVGyuklq7zU2u6lLao4K8xA9MSjBezefhg44iuBMmyXVCFPUTbdT3lj0HO4K5VUuIAUsIKl0PxNTTiXOLlDiKphQoWkJIU9TzeUSq4cly4+sW5FIVbfSEoV1FsFcTwfE4uMPuQ5D+FI6FnZGs0vhhF8FRCRbWBCw9lXcbPbmGmpaQ8jeUIqFEiGZ2EIAyQxfQg4VlPkOmVYFDpt0l/C1i/QdFRqpSJQPgriJBj4lcdbV9xTWgG0HCOx7g5bRTBZF+jogFGz952ub6hhTJBJ2OwvXzGrI0mAoboeYsxCuAuKuqlEpVkLuVXWH+4onT9TCzqVKkl3iScsrwg0EXSunm4NKqmXAUW5id0pKRNG+ZXWOCFrpPTtYOt9xXspxQuZyS6eUW7uWVgFm1wCAKquKGoNSjbJssRx5EMe8FWlMfRhaUMnars1Z1UK/k4UFUMOaUwm+8Jm5uv8rqNWmNwHub9FeIJItQUadUqKQyevL4iIof4ipBEoytswfkYAi6DYXwrKi7pBdau0pd4OyVyFsbrsUg5riJhpCgFZbr1TEhGVhXzpZp9VcreEcIjb2hHW8CateajUDac8FedJCtqCuqgl+XYx/bKIL0K38d1CcFVlHvtYxq2BBfcMAcd3vutQ8kovKW5NmzUSW9UCfoXlGxcE/mzEEQBgbpxlKcgjVxbqgE7uENgWBLg0g7m02owLJIsm9QCF0rdksP4Oxa2hLgdcqWozqwWkWKsIuK2HeVATBVUai6TrYh2KU70dzfyUBb4hiiFW4NKwbWihYFh+SmNqQoptZhgrto80qEygax6qGHexqKmhOasEjU0YidEMdQhZzWdyEm7Ok8H7gxKBScC/U51EI8CrLl+C4YcKm/7ts6qJNUhwFQq7iuZHKiPWzdkpTAfWItNgYD2mCJFpSlscbEVIWHYBqGHMeZXPiGkFQVkOriJ6RqjjhgC+EavzNQhChtR7meMeipTMlhRWsAELFdBEthogEWWA3g8xU1niAEl5SjPRUPVoMh+Lto8pATnKlewO3imGKaLdMOMsATK9y5gaKbpe/SsHpQZUOO9hX+ybXAsEeQXXoSz9Jdtzn/UubJopaqBf4RaZeWcoAzbftDVdF8EDIrfiptCNlgsPnfb6I4shcSC4BmHOLBp5sgBxa5/UNN9irLrd4tnK8FeqVVCgWcvU/YEgvCLRcK3yLQAbw4CVasYWo2eg5GDDskMDnAKjKUt1FS5oXsSAeV9wJUCHuzTAC6fgOArAmMEnd1w9+3ycI1HS9QTnad6w2ES3AOL6ORDNAHLHz293KgBu0ziKMs6uH9ub46GYBeULNLStJV7oi/lhtbWKQ3A7jvRmjhRUHnmFA77N1wAvsvFVDGGTilQpsx2+eiD7UBkHWFteuIYGO4xwVOAjUSTkHJSyg8ytzubYDZWngkOjVk4HJoa93EHIGDXZ9MY3DSYFClwMmZig3aXltL1tXBVqmtIVQtAED0aLc7Tdo2kwj4HQVsFsrRHFoBpavVFk6ME1FS+BqjadwGIF7KUtdXRll9yS6AUPB5OpWWnCagOHz4S34jFoK0aUC4EgMVUVL+j9RwEM5FCl4dWUuxxPV9SopqHOEpi4wLmCRZy9QnpjS2+BX/aVJA2VcJXo8EviqpNJAre1CG6r8WVa4UXGOe+6IqTaNYJqUGh8MRtW2+oq/ND+GIfLhM66fFCNI8E4XDy8wVUMlyCQFhKihL1geIBolUQRQ1pFQIboXi4qSwjqwTUdUxZlFQljyxDUVfgv4GHbIxzkNmZP3AlShlgwAihA44IUomwKKEYWll22RY+Es7MHSI2oNLlUDCoVKDdjz8RE7mR7NXLFreiUhyICGQXePNeMBp7irPRDNoFXgmYGt+ooOhHQMuu5op/a1Bsur9sHKMM3CU5jE7lruCqHoiQgkHK2iHqAhsPCL5dwbxQoLBWniAc0I6d0LtiNiVaDqBNCoRZ0qQeFIiV5QURY2FQ4uvQR8DYwN+1Gdbzh6ErGQcI+tNnbDzqgtN2Y8E1vlsqi6ORhVa0O50Xl0BH50aFb4WOviCj3NtppyW9xgWhU2sUDVXWLCYhbzR6AaoMHmZWnJJLR6lEEuRITLydEInKafAypmiP+MJlDVXZz2qr25K+Bt8jgBRLlNlINwLu3V/whCZW82eseZfNZFZFH2BDTeIWBaDXh2LGv+BxqzF6YdT4hqUwxXe4NDV23Z3WG1AzBfluEesW4IRawpdWgYziLttp7a8Hlh2SI7GM314ERzVQ0uvws75i23E9Yu6Vi+1jUo3TgXAAYqnueNqxeCnkTrhix8MGkbnjKu4a34cVWp6O762NoIup6gesUECIAlQvaodq66WMSCZLqV764j+7tyvrxLRuBfGwYRM/ETLZGnlgNb0TioDe62MHTbTA9P2sDkTN7O4agYanRd8MIQeCDJw4REp2Hfr25WVrKK6vhTNmH7AGhV9RZwoBtQF298QQ0IUeRiRo9XLvhESiDgACMKOCRiwDhHQCDUZ5j8OQFNgwGkZQ4YQT8UAERBLGrcpZSSlQgZoIgio3KSVN94nX4lpy2+Ia6IRbMuy8hAHPjwJy4dcfANuJUizh1eosEXcubYHoa8TualLshIrkWuw4RBVd4iE6jFfRCpRzEMPUpO/1BXdupcND1L2flHt7tIO9Y3IfqYOO2mCtbrgd0MvzeAI5+q56Zb8dC8tD4r/svgiaqirpfohIIMDEcVG+gHlHTOy4AQ2hsk4nP4nOrpQiHpIB7Ht7iIfAruizYNZa1b2Wckfcl2PwZSU4KgeUYpYDuXePe2WgkFSx0F5Yd3w6Lwadx21AQluDOdggquqDjCHcRPmh5bXVMVmDQYI0BLJzQz7C674mXa20XhZpSO0683K7NciWU4FIReBD31ArAC3QEdSuYoVCUsqYB9Riui+2NF1FK2LLPUHaCJSUxug5x4l83ZASVYnfqDMuOCwsexdXHSRJr+t6rqW7HDKposLXwiij2Q58XMo2tqoNV5DOo5gS84ePACf8AAAW5EVLTN+/oaHWw05SJt1cG3xcS2kxJOhtsQtKxLPIAbLGA91YUHWm+NyPLbgFLTKHiUYQWUEoo3F9PG+FlHvXUMtWIp7Py81MepIAUC5KZryS9DDPJaG90Qm6VnoyQB7EoZct8+cBvaiU9OgurA3uEw24FQWb0HhKmHA81ax5YXFNVSuRfV8pLDg8jXN9JxLGADSiKLqkyJCIe3zblRBtDAr5HJ6YvQjKbFN75g6Smg6r1iqjlWXgGidoJeiVZrOMwuvL4l24wMBCjOvGWSLYhpPB8BTug9pKCaQUiUYW7OahLGeVDghqJrMMFFCPKkcsJ5RcMliOEsjSx9sIYLKKEryxlWIY5TUFxEvEcUkl9YJYWt2HmWkRZWiMAsPioAbK6hiOnIdQgyT7SppjXSCZdkPGF+IKoHiiIIh5haT8WRCg5uRHdtRTK5rjJSg0QK00GOLasiKUFbqLQl5OMh/jIugjb9DHKy5MGjKQEHyOnvJkqJGh9J0RmcrEsC+/AQ9tcsXutxcSBGJKB01OnQIah9TDiKG6+mBtpAChvF9xRS+lc7rIY0v1QHiULVqkBr5K2nmoIgqE4UU+3NeflepSaGQ0XoPqCpQ52/bhRamJAOCVwrlPJqbhasI0zrErIc4sEO5AnON9QFHsaCU6t/BCIkIGht1jggGgSgB0V3VweKBd1ojuCAtHXRosPoyV9bkELEueSL7VIoVBQFf8AGPO1aqXUlUmuqVfFs3C2ArOaNicjrKm6S8/kYX0eB5QnDQm+i4Vrzk3jMEG2qdAeYixK7ED2BOSEqnjHdL3mF9u374ZGjE7groXWGCiFQEU2UmrpyHEL+aipccC5O5d6gWusFeR4IdgWkAWpfn5jMSFlOYzu+JRQAwEs8mTHLDtimNhCG3d6PIdsZ18TuyX9BAvk/wCxP5MM1RHG8bvqoRBZvzivQwg25vU4XlIyWCw2gKr7JSij9XuU50B7wl8qeonuuJjktlXfJfKmzX3NeiizdwjS0PEwMUXCU1Gy6bNgZxCdcykeeO0nmRYH1MS2B8wbmPwwylxj4pnRF3KCyZkiXmFWvuacwRJTxR2BUQsZTsXKHhDUmozbigxcpjAG2Me6p4i2iXawxAdwKvCJgXUF70Net3FK10IOdPFI1UngYhcpqs6UKQiGWLUcNy+I7+dS1JWkQq6ahJfWio4ZN1ArccbSyR4EnCPyLLTLaF0ktcEaTu4vVcZqzogt3Q0B4p6mM4lHd+MgQcM/nEImoQZR4hVKFCAoBUL2fcZNzFqvyxxYNcni8kNZSy1zFCll27DuYDrXuXqoglCo89m2CAyBdwqU7omVLl9F7TaOgnaxFFLR4KlqkdA+ITEykaJ1HZMrok4Qjb9+ZQu42ON8kTJQKWTjoaHbC6cezcULF5HZaTVrYPgIqrcKmnISgJEdp+g6jXm9hJUwDqMY4vtRfubf0o0eli1tUsB9g3UXlitQ/EFln7Dg4/pNFlUt01fuW8uujxBCF0fAxeJypeAnXi4Es8dtybYbh83EXcE5DwkGhJ5XifSkWi82S0Bd+a6DIiJwOm+H2QLCltxCGYEEOXGhKk15A2fyqG3Jr5Au39RNlYtw1YkpUuH7ZXyUMsYkSFAxctli/qCcSWRjO4NqEO+se8biKwi6McORNuhGoOX8CV8UhTwQX2yuB+Kd3CNwhlxGYIqK4ECLUbfIIFxHQxcXLsNrFFdgusNxFVwjtFBGqXIkI0ipX+Flp7jBXKYK+JTNwyGJtJYQmdGai8YomJ0sU+uDYcsPgzkYUnBFbFptQ45vMogkgqqCGDlMoRc0nZ04ynb2k4TaDFhVhSU8ignlGkQ42mhhLxn9obCnYE26tAsbs8jqU4Rcvkw9wgQaQg6ocsXJtkVNmL8R4Q6l4OxeKJ5C0HlmSrU/6CPA7kIym0G8cga4lGQEAUaERu4sSOwT2juDFwC/hB0EtOSJpCBXCsHt5RBCHC+oFt6x4JakuvMOAIcswLA3Xlmxkih4KitCma6iiuP6i5WhhgAlL1CWyxF2LZnXuA0xBiXHD1AZoHgJWnSyLoANniK3pS+0yrHHm+2YOC5PyMZG14eO4NrAFyXucaKiLvJWKWIDiCyyKjh6qLzk9clGc4lBA2FEmMpaHuIEgK0Wp0Qsai2CEWBVtZuJTcXCkrD5R4UtG2WiJFPcByhvwRy0TJsfdwgHHwiwqA7S9MVZHSEsWBuiKmxjy9wgR75ViIcRRxAnEE4S/qUEtNUYsjnLAdxr6hiDYhl+iIkrU5G6ll2IB7xGqDVKi8AI+eSu4slICzaAIMt3qC7JdrmLw6YrdqU4OLeK3+LIDUNdq2HfMjeFxyG+KU1R5CL5K+yYDWugipIMuqL8xdw+UqG+/Wtg6RdKqFubT39srVuMXzqmxXUTR8aDiVVCqfKPKTYBTUEOsCJVDyNQbNi6EJAdirB7WOIDICqAsaLfli2haMu3GyPTEIiVLUL2wn8Mr8zYc5HqUiPlJUNaczvAapAnYOJW2DX2QVj8S3Rwwsab8ToJelwDrUqBBLsL1HvqeYglC2pUxVR9xZ2HMCU7GSxFYqI8yqAffOOvLRjraa3M0w1TGUO2Vf6lWABQ9wVgTR0QZhZtEAU9r1Kr3TZkaxXG7KklnNdQhM4hVQIOJQTgj0H9S/QwUi2sEi4QUMcpFMoOZk0wUgKlmoIZaMqXtp0sqXLCzESoQ6lNEIYwEaORqFio1sVWQKpEphDmclMS4wrT8eb8FnFcvRBMCFdkustja6hDVJcCE6okxYVLgksVLIyyslA8hCyhQEC7ww+woR/HCc6aILCEdVOmxg1HGsCU1dhJZ7ECzV4ER+kLiUb4zi7PMvEKNVAqwW1AHVNzKpu25KEX86N2wYg4sKLBmq433NrDSnCDCqoRHSnQ7EvOVzyhJt2TRATh2qUioa2dhymFQHaXy6j4QT5xM49Cg5ZR9RSspPaKuKVbByKRhIfDXuWILOZVyxQ2UQ6rdRjHT3Ff2E8IZmrCohDIpyPyhSvusvdWNMCplhFmbInOpiSopEdUCwTwVGwjbSBMHnYkVaaS6R+qqsmzCm7ZWw85xqWpnLU7i4RZLsmkpIy4uLUCoK0ZK9p52TnMPO05tAlVhVIyneF0iSb8MKcwSwWjM0XLK0S81AtkHUcyHFxsg3tLBS2VVW2Dw7ZyjCgrCTmaczjzF+FITYVCo+AhzSV7HM2/hwy/JGsizzhSCytqCIpLHewDZbEqVRjJIESHctRtfj4irVrctpH4KOR6KXYXpBBv5VE4SGpoYsjdQB2gxCTJfQ7COCQSX2RyVdtmS5ojiXSI64gaobv+RAvnmy9TkqigUbyuAYgtCIdAbPSUGVwXBVlkwg2pXHTRvM5RrYZKrYInUiR1mVJFjJPXUzYTsRoU9JYC0cSXpbIYcTmorDm1EDwMhZa7g2a5xAKGVK0dRJ5uIrPTQlutJENu/EALiKpoO0qSK5zGxA75g/myrI3vFhXEdvcPHbghAVRCEgD5CJqRtVqx9xfbcu4a/iWgbWxx2bV1NhEeUXC9RzSK5gqlx/t5ERctpKQCPrAKdh0SYUi1LBpDZLktuCcEARR0k4vbFCpcYxHJakrYx3bBHWY4xfuV7cE3BN0anhyVSmw4XAkH1B8MiiKCF9pE6qMulsWClZuKKAxYFpeU14ZASQe3YDUKL4YnzCGBX8KUoCKEC4wDrBLamWwWmJwo7dTgVRDiCUqH1MWI+K4QX6UYwBbDLSDI5xRQy25SHhUY2uRkRL1qEAlqhFSBhuOANQakebLSsUniW6VJusX2wwql0sulxWjU5+3yhK8+YndnOYLeuIIjZYkSyNIahvER3I+vAnTaHLMa1h5xBINUlhlsFkh6fojRrTzGkdmF8NAMpHktUcfMmNuE7IMbBsqrXcb2+4DSb7Yjuc0lyoaShqiXNM4lZCW0S9NCVss7QVuFw2GLBW64gqHDHV8JdbNUckxQyM1FzY9qJVsCJoiCAYdSp/CV2P7jF+E5zhA2P8QvdYAhu4rwRMBhOv4WUALi94Q6NVL2E85SwI1CGLYriABbcfwpjcehA1rClVEALYRasIgYCwwjUJ2aI5MiN7hfVbhjFqVCJKsoQkNy6qF6RfKHVzBrNlCVYB7liEnh+NYVSiGcWM5EDSyvDCbh5uI0qnJHmgbzIpoCDAB7lOggFIFV1Lre0fIFL6qQQuojRtEkkVdIOjSluhRYxZujyweFju0R5g7MGZi07BpFRyRI6liL3UIsLKbCBsyh0IjNMlyzpCErkoYFtbOH7shLLW1HaLBtkFyS8T084UlAZUR5hpF4VuCd1KjWLBS3VSsVrALEBZqDdnBM5QwPJEMfBBSyWQqFxkCGWgyBkq85CMNwZSjzpT52MWuGOwhowFdhkdMldxVBEH4BRS4EEohW7q/jRZVUp3MV6j9KTbtwKhDMXMg8IQLpFBLQbBHWw1NMbhoGojW2jVFqNxBCzZlmb4pHWaykXEViuKTBAqUJROSXFibyEwkjboRulNcsJJR7a+PgQsfgMibAHiMg+DsHPEKAHuNih5C0A8sRTAncd3xRu4ENUcgOorA2ECycS0L5ITmloYBoKjxQozTicC7Gtoerhm4SKsKoL2OBTIo1sEJrFwESPRcFVe4LIuAwohvUMQUSpVpF1CyrcIrRiMxK15FFNZUqHIdcLB8pmbmYbGOobhVWA6+KO4MIX9Io81NrIrmZcygQLSGtRTIQCJ4jckIjBoQLxPm+EdS/hKEb8dYcQURCwHqVDUvkGCUhXMtKLBNE+M+W7h0kR0lMRE8gjEtBxBZRuXBxFoLIfpGXCAk6ReWImzhNTGQRCTuMz2pYHGwCQZGmK5RaqlHuGfGJU2JtxISuD4O3Z3El0eth9MpNbSMBy7i3FCOFVcOIWwvXDKAzAbC4CLBIxmYLDYC2ogYZpIy9XrKaNXDYq5LpKWJDTL5SBnuVAeoulLgiyE4qAisLY4cMzeVEokLpNsrUGwZQ9RAiSHSwE3jGFBEqajpGW0aA1GaWVhaMWkOIKTUXthmM2znBik+GNGFE0RLEsaFxoIpdlFol6XMZhty+ySiQmxktAYpjzZZf4wbpX3MFK0CdYZzOQXWMiXVTHOwNBLBTYdchxNX4g3ES6mVC2EqkJzJYUeUAuKloQjoSyViLULLYZcSS4ONjAQIKg0EbuDy5L8dqRWQohLpXmGZB0SLpVbkYbSqIi3HewljOsIHKAmbqWVGB6wonjAexC+ku2Eo4liSHx2ErqZRAxKAIjBipyWmGVYplB6Y6oW4HwIKxHzDoD9pUmk18SUbn6jKiU8QWqZb5KrRKtklSrUXQpG/YxsV8VjUhQViUtuKjgxORm4YytjTaX6epYD5lD0hNTepzRmA8ocuClhilEEZLxGMKqOLPMlTuKY+A65lR4wBaybDUWEIXZsbZZCmyuouoTfGM3alcvCCTEGYkzmxjDi7FKyZlRXDUx4So9R5TXsXIUICA11OogpO/wlnCBohQOYIYQSk2IeJRNCgBDzLqJEjT8HFlqPAPjMAk1JZOuS8weSI4iBKJSyC5Y9q5O01KqmWBS4CoqI7KgWsMqOpqDL7rCFrTEZAwYlANZXmU2hDdVqANJS8sJiSuBkEOjMkIbryxjQztkNDOcNlAsDLS3Q8KsdMuPBAZg9lzY6S1DmZ5h2rgACiJzoiZK53Gz5S1DWC08l9Glk58fGI3aYRSKfpEtlvCo4GHoZ1wKKj6MclgZbUZ4FgO15SzsYsVVkvtbcroLqJS2F2VYdzqMNEQQqXayI8gpYXGWOXcamFZSsAcvjuMr+J4kbrL6nTZGqESWJHo0s1eBS2Cgg3zNHMFLlsEVY4YdSMq4gg0VUVefg7iIMkXcLSdFGtMqUGkRRqpkyLwxoLQ8bjEjQPhigMK1Fy+IrYroRzIAshKpqLYIzhK+zqUtBxZvvmDiRbVS6LDUKjVbTNJh1s1REkULFNhikXEMlhQeEy2C8SisPVcQwQsSolgGvEyDU3W5v4ML1mGoGCAcjKTG8xd7BidMcCZkORXYigajsGFGg2JlQikq6E0KxHRFbcWDDMJxJZikkSmWnIo2pkFDAtZbDgQhsmfJ0UanwtaJcxaIxaFbAuEKotYl8KDzavcOWiAcS5UU8mGavmX2xQhYq4XEvR1R4S4YbtlrbKB8ApslwqEKDPif//EACkRAQEBAQACAwEAAQMFAQEBAAEAESExQRBRYXGBIJGxMEBQocHR8PH/2gAIAQIBAT8Q/wDGpHwkWMu9sQ9EkhL09vDTs+Rt4DliO2U9sYjRzstan/j0h+GQ+SO2uxK698nyYwg98jD5/wCILhJKfq8llednEBKAJ6c/8gnwxHF9L+8A+FB1nTpM5LDIGbj/AO0XcM4xA4vbNXnh9/8AitPjS3/RvORkbFf+JDqQ6TdxJUAYvIget6QBnUy8q8Q8sA482x9rgfsGxdXy3HzpI8OuO2jFfL3w/wDdH/WWR8HxDy+5j/QhvOMnvcXA77sgRiNqNZCwP1Bod3v8YU0DeSQD3cCeI/vti5HZF8KnxqwOef8Aw+TqCUEIi0+/VijpfJ4F3XB3TmEtAoDaWnwrbQ4o44/gx6Jnw+p8Tc1OKINZ7fUvcgGxuG20IDq3J7SASbwfkQ6LvJUh7g3of/C7/oGiTq6q+2ApWet5PY5XqviUAnO4TH8O2lJcdXrse/8A6VZW0+nlwaYxeA2ZgZEkw54sN7pq/wBgvzm/wyP3+8lfI9MrDp6SSw2IrJ4PuEmB1Ai5H/gy/O/6ARYAWqzwZhJbf9wtozAPPVjR5fa2A8dHYEwWvu1H8nJBuf4th4/gT1EAbvGy6gAH8mLHrOf+4+rX+qcP20w//REeSLGgzO5OXaJkXB0T6Gc8B+P/AINf9A/LaeoIcmHcWggWSSLt+g/I9j69xfWWwtr3LGgx6cQD98SYcglg+5kj1/wuJ9KHnAPkjxAjW85N9s51zniy6Yf+AfliPjfhmy7Wc2Lh2FXNfkF9Yx9sLejnelpM0gRAfeRvhbycNfLlof7P/pftRyBOg2G1SgD/APElRp2YpQCUDDwTfjnIkT6Aj8M+v/APwywfCywyyjuBs8HE1vhS1NzH1VeN3xZcEmDe0ZnC5Yea/s1EH2lpch9TkaeZz/8A7lyJZJHHNfnlhg3933MCMxr4bgBs/wBd1t8QktQ5g/8AgG2DLaHyWDICcd+NbkKJIDxhUEFmdvaaF5XdKH724NDULwAauP79MJHmAYcE2ZdgD+RnEZSEDciQ6CaJZCHV1716y5fKfLP2YAu2vOL3/t9tt/1suyW0NxiMJYzebzLdF+o2B1iPTO+o+zJE4bA9MB22ePLDkN8+JKaP13bziD2Mbbj/AN5KMk63UpuEOdbTq095bkc7d3kF+uyBkPtbnzk6c/7Lbbf9G22y/ANpaS2DBgbLkdRzGJt7hNtwR1eCAPJ/NsAz+sm4J01ZQa8eAOH+8u94PK3alOIQS1pD+kUmfA8hGctX23qTdogstnpX2/cLoD6kcP7y2MZowDkcmrScx+mMAO/+IcM18nxPxPCb/wBws9w2U/dIzjA2WkWQ6y5IlCIlW7la39SH7z6IZDO/fkuq79BLfQei8VI9sCPp+OdyTN4bnEz6hwztkY+LeNq+m83xPV4szwQits/++eMB424dUHX3A2W8W5+MC8Ye3/sG34X5WY1Wxz8ZwufwASbHEDbVQZKQpnaW/hI3ZknAd/hd+iw4g0Tok+9en2GQOZUDIyCJxLcKl6pZCRfqPOw5lzrdInGAMJdsk5/djw4RjvLtELB7/wCGIdBOfrPPJfBj0+2ZX/YDLkMou/FzmEuTBh/G8MGIO3vr7Md7CTpyQENABTlohjc/T62JncXD/wDWRHxi/Rb+tq3LyJ/xKD70Vec/tmCgjn5I2hOnvZKPm4H5E6EXwyCG7OmBPH7bkAeTZqjjUgQeHCLpssx2hmYCT4YIqw0Hq4D09LLgzwt5ab2St/b7Zf8AW234EKW7JnwnkA4z7gqIfiJttm5JNLb/ADLk7ecdOHkWbDfxaPvLFgIxB/8AZMCxM4/lo56cvA+//YgyBQ8dw9CyE8n0heBOB7ieiJ6TIhMP4SS5mdI6MlaGooBllB3u8i6QHzcVnA/qDjQ6Eb5XTEv0MLcN+4uGZvGOzvIXDwf9V+dm1dfg4WwXZmDTGMhqWGw55ta7A342EfAjdWch7E1W8RluGCdD9vEmnePp9l468S68U6678YT1yIGRiKNfJGs0HfpnqGfelwnouSlTAVJNsnemely18onI40NDN93pvxeRov0h7nNgPIqvUhOhYA5/12VurMuNzvWkFsz9Tw7hkevgYstnmDJPgXhNCJ6BZr1toLh6fpjAL0zJw43C7JuSb3xLjH2x33HTNpofskyd9EPsA4ItYgLzh7YwHBv2DYa9vPiey13fXsGwNMo8InnoNd8ZbFDkX/SHzvw3IyfLbIYSdRGMY+eYjLpxERkhJHt6/wBBMYkiEdvEnOclxwYJFlP4jcT9XRKzQ0zh2DfYgKB1hU8G2RjTn8Pu8YsnH6f9ktTwOL3R4J+kY+D7fnY3fiwPsPcU3qc+I5NOej9SBmjrnx1Guf6ttt/6DCaNr4IVLTNs0VJ1Z2COLh+TUQgR8FvBKIJz5m0hqX1dMpcEPcIM/wAHqV1iG/Td/wDJjAU/ezlwV4fDMnRzRC7wLBj+4lmAGAHr3GvTuJvfP+GegQ4Pu1PflS6tgHAydAu4Z+fS7ZoWiFsOHgn5IRCDBJcaPPX/ANjVVLbf9LmCy3L8AL5iaRZBm+9IzzcuNyXG3OyRhgfglhaTShHxkP8ARHqMTepfMcDC7wfrt2gHq3zmx67I407k3lR9B0IamaWJAeWiMia+H3Lewi3dqL56shuLroNENileTEM8khBdWIA/snD64cAxpkel5WM3n5sGjoz+o/YgZz307Nxr/WjJ9j4KXJGfKM+4hA9MLnYLYyr1vNslGyvOUT7aCZlZbaBHm7QWR8EEQ+ArpA8g/wC0miEUf41RRy+kovXcyQCe2WXdWr6jQNLrh0sU/m+f45Kb5Cv4Bd1OT/OaEQrOF7+nqd4C8JuMcXa0TNX3sQQD7/8AuIJB4DufyNAgAP7+smFgE2PcYbTQp699Is0N0jFVI0Pj1dncPDaY1+O7aEF+Q2VuDJCP4hHlKi33LZwS4fqDNe7HL1252bDLyzhLLkhfjnwEELWwJINdDGd/PGXLv4l6Y96QEvtsOZ32MD9A5MteGXg55PJNGpgOesMCNz5J/siD7x3+ydD0w/v7auOGv7IjQXkb4Be2F3UiABRmLHw4kKCeHzDg1OHovHTdvNfrlskPj4yn+igEtZRoxjr8SGfAxQywkQctwpaPwtD2GeZTxlexzK3xOR4XRMEJLykGGNUt/EGeIOaMnZf/AOcbGVe9/JSeB5tiu5NH965DlQw741M7rjQQ/GIc23UoOQaM9zdAhq7xfXYgFxje7SMAZjKYcC/BXCF5rJt+4MNo/CEwVjDa2NY1GFlr8sQQyV92LGvhCW2zcWWdb3JLaf18QqlqPhY6gW2Ea+Ayd+LdyyJBsJPgE+MnkZvv7j6kf7igNcc13rmksg7mNwMMAnFlnx8fhAJ/BPpQ8l/t0IN+k2Y0dd/GHGOrNP0n/wCyXd4OCF6dR/sGXnkeGGF2JV4Yc+FnJ/a1+AgsZJpKxfg2tl6MobNaMKz6LYQ/SakQEA+GCIdgj8Gdj5mWoys+Nn2ojjGjH69RnpKa8g93Tb074gdQQffIyKvEmCuJ9BZCD2GZ/mfIn4jGB5VMVn+TvwxsGng+rhzwlc7MDZJ28hwWdTcncOyySN34AtFg/D18RR2ZgnXhe0QYiW4ui9LI+DWTE3tmT4CyZAQ7HYgfKhvwc+J6BdHDy5BSjuzSSEiAb3dYtb2QH+SHWFFPeR2yzQ7NNcgqj7k/EaJ9bPffLFUaF4ma4OxY3EcIRkAxIQEGGWRsjzxFr4HuPAsByC8sTIZwzrNqcCeNB8rNDpGvlrvj5FynNjk4vJyytk9g0gnki8kQK3JS4xO3TjWAW59sT8DMYTfNnLpT0d+kDMLIp6mE4j0+iYuCcsec8SeluOiQSEx28PVnnZl1Rl9QQ0vFEK9Yn+UwcliaZfBDWzlfYIvhGgGhxfWw2+AxN3WBwKe4vzryyPdjjCXnaEAOw75lVmZ0cQ/gHJS4yoIYWbIWBYGS3okE6JIVjE0KA8YtfEt9RlNdhLjaKM9MPSex5PcQ8Y/LCTK014JF7PZOvz7lUEOeUBUezO7NL98+rbcdX0yXfqQ+09kAAHk8N42Hl8wb/Vj19AHl21Mx5L/0ZyJiVuK/X0WCr0K25j4uq8S8m+XxdgJ5X4aKW+A5/kzCHLG9iN9Jqd9OoXbTNIFjSl8RD0icBaSiHuMYqbByeXmdLGQy3qclD4mgurgyjIbn1foR9Wodj5DC+2XkuryQwDpqPcYi+whJxmehn3aFa4G1TMFlWQTpwzGsNUQNa8vDzU/zD+teObtvPcCL/eQkGiXl/cBdOMCBy2w8LN5M9RKCUsP/AGkUwAc8/wA5KQGhqyXgOKO9bn8voIMAAJxEIdH8szcGr/6CQ+kneFzoZukHB5VtgeBIzrVltc0JPJFklrI+0K8fcq9ZPot6BtYTKzQjozMG0MZjkmy3OBYEQ3O3sc9S0PPljcA5YzX+9o2euzwvLwuWrd9MCDGl2jdhX8uQgXtR7/xD/JOXhxJpidD5cfWx68LsBJ929hEL6FBHrbyqywY563qwXp2r5ZoBVdbwD5fG8gkwcv8AJ7baqAbrdgGGhaAPNhU1eJrg5M9Mj8HwmhVQu6O/ixrRA+C3aLdvDsyLJ7tjQo99cafyKzjhDf8ATz+F3kOtlieRm7d0SaI+pJ9j5fAGlXTZDnbjqRimWjcgFghNmXzbJISbfinflIsmjI/GNcbMUpH+WTPOSIKnz4D6CTt9b/vcAAoowPGFq84epAtc+rGT2tA0k2Hl4/oyFExBo8j6t0GO9LuI8idReGXIff6fjZSBq20xoinNHYevq7A0g9WEWOn6bNVp0j4Xkc1MH2c+GHK6YCc5nB7a7B0wr/I3IzkzeH6sTu2BfO/THF4Sflgi7uj40csxrD2RfrRPvHQs53Txlj0LFzqTMA57kdyX9t2x3xsYjvwi9DFXIl7lrVrIEevGSOZHmY1G/Cctp4gC3MzCd6Q1ujvlu+BHm6f1gs9gP9i7q2B9ry8h4L7SUhMHS26eHpBpO30zHT2I/wAmw8THjADtgQQueiZyih4YT8L71iXlsJ5P6gRuw7QE8QbzB8JOMA0fXYRIkL+vXPpAuOih9bMKt4heh7rPXFmfg28lSTK099pxseDzdGAxPRtqy8In0GBh8DPYzkHI7nLQJfVLrAiRlh9kyfpJTk4NTQHst0yHhnASAwpHu5dBEBlGZaylWfqxUEbWIHQfEj7IF5lwLn+vMw6X3Ip+reS6fUbQAe/sG559IwD4dAmAg4C2AMdnB+6YGyPcLTxdt7ZDEt223esEwfR/wncqOez/AGM/WerWWKx7pBuL1sQec8n9rYuOEJ2TBLIpmdl0NGkG48FkSxMfuBtgN8dfuLHEQ60f8Gd2DQQycTtkIlOs8fGOQNgKJZTHmWYJgLT7mpzTrAFDxYAlm9y4gyxfSVy/D2tYX/MqOK8ywkAfaGQ8LPLYDxItnLuLIMHfX1MottiNg8WVZ8QRcHd9TmMRGUA/kmdbSpEEGwk/chSx0hnhPT7vuYfp2d5d/bFrGGg+5eCZAJZM3++8fF2V8R9RnNYRuYVm2QiwD7E5pbNiPEfTLK4RRtH+/UvAMHtf1kMj9wYKOaHmA75yN8Q6xyzVhkwT6eWbpeALCFzbFjhYI5vGyejp5LegZY4D9gu48ys1p7s8eMQiG8WWMtz9+IBhzC2z/LR3oO3hP0MAej2xPTYznI3onM6XyYkfTkUuTB34cCS7HbDmli9hzkmMC+JJw24oJ9R8dv8A1EtcI2ksXnGOnQh6Gahieh9fbpQKHt/ZnBE1H75TXhOL+TYngurE+ubAWY9t1mibOkANMnDI3H7YWtmWVKuIT7+FYYcZuVthu3BzsCW4/duGnVpBzSjsZTcIye5jRG6aWwe7R7vRbJ/8WLfeN9UQgPkja+yAyOD2a+PcIr6+PfO+mPzsxJIIXbuxzVsvYiZAq8yHQuAXzbhgeiydV1RayBPZs9dSIdXE+t+pdcA8P+03R6hDZ5cQP+G5Ap0PbFe6fViGURcYvohMcyonoIAYaK5IZ0hVRO3kl2x8wnwyhjyk3R9WZkQHz8J9Kx5AsZD82MjsG3eyM7hB4+5OUwk/QF/7iPgi96rQMgjSf0+Lhmsc4WwsRj8BK3IIkR9iqlijfFwfhDUan6eTyTCW/bBVXYJT68WI26xcKa92t0H1ZQ5jAOJSKFdPyeg+c2T5ttxDDYwXOCS9iDnL3EOxEQZNm7055FDHhhe5EbbSW1jwYrMF7xb+NwOsvWJo9eFrX082GXJGxqGK+DjBwzo/5iHbZeAR/wAXg8znJwOPbVth2TD4z3wSCCkExPghHPc6CDFfHLEZQgDh5rr7k4mMZ9MxfuQj1Xm1Nwo8a9bJrZshx0vLmeIQh7COYgurcBvHE8Pns/Z4l9liNZDY7Xa56E0FIDDq3BAF5k6YTL2EF6yJ1sT2YxHQPwGWIjqV5gfzAYjRmzIOD5m6C66Njc8bdg5IwgERF4Nf4lY8Nwli0XWyhvS0nufu5JkeSF5GdYcAsQ2p0tzSNp1z0IH+wR5hesfN3QPMeZ4yDy6MXgHXBsMOpw4Shc1fYuesnXpiHH0lu0LvmWota7HlB7J4wQObsKebtG/AjBPqPZh5ss5u8snYLZwLpOSMSZEN3zCA+EGnplLBVwsD8zIRFxyGuRHT1aPDJdG2Yynp78n2TZcYElBvWzHH3eOL/GWBLy3hZEB7DfFxvC2IZHAx2XQnCndhHN5coDyE283Nff1ZzHYGu+JE29EeH5toH3ixkfa+5m2YAcCbo+7ZD77F+J8dsyK+j3ceRwHVmkIr/JLtezvCWNkCMw3NI23pn4ntUwrbK1kYTa07JOhgAQAK3Dgu1QYckE7pbT47H8XzBOk8freyTavM93UTFjnMc7NOueyYmP1JE83zGsbASKWAQJNjdIbvGNbwQWMBzf1jgIvjBM4m42A5TtScPNyyPCLT95cm9dme0fcJHQM2Pf5kR8KW1BHXAW0+nD0SnRCfg9vPaogeen7j7kgBA57ft2Mo57RPhs8K9y4HzM+cmJsfV9z6+lnAk6SSDUSCywwMumWE7QtohI+1u5h83m1S6p1YXALYjvbuhbCvYkocvPLFv8YZ5h4fdtA6k433E4sZ83g21oPdm7mRYwkGfRJkvJXmBklQcBHQsfOM6aeJQa9jeWQdf/Rm2e+Qj9g3JwR7/wANvH/sneO+JQQPbXzz3Bd3zJjIY5NwX676Y9PL04nJzX6Ypk6rqzdDPcelzHnX8k4A5BYpOEsJs75gs8DHI4LYiLy1rvxn65L3DTPF64G8x207jq3j4pJ0jcrqyhwYWt2pXwutvLL4whlIhwMdyaB9J1Jw/kNqEwF2cY6WMz4BSsciYRlmwLCQdJAg7YfaTEqa5nE36ke+CCq9/a+548PCjJp2GdUYDI6g317mpsU8HlDJ4w5qeNI6Z1g/lnEgrxdfomvr0/0sgU5+OnsqnihveclA4wICYYQc7ISF6uZW9unRdBkvL4ge3RgFR9Oe7GMEung79Ritq/kjx7yROjGQ4vP2KQE2z8SJ29BcJ9sjmYjCxHiQNeCFYITnsuU2Y8uR8DjyRonJLiWs0UJMjq0LcgL9t6ZptnGPcx+C8M4YPPpsq96E+mE0zPB9/uM4V7vAhvPHAdPSJuGRo683zGgtcXwf9kNUnC3zs8+Yj4akLRP7aCqxJh0j/ZeQERF0D9BF/nZWDpHQ+ghi1wD04jahvCBgYj+hMi+4GJsl2zbGI+PqZ7QN5dx82iUxryHUHCHsODyyYy0R6ky/toue3Josf0xbPRh2TiMyVI1iPI79JBaIgzawwc9Jvoo4QfGBJToCCC+uNtvwgz8Y2ku3w3sT85dB/Y9OwldAUfvYBb79wwshTYswHv2y8jl93mTE/wBmNzZfBhjcwMHFzDxNT0xvE14ucSZTZT2FidFPTxYXkP11n9vlqAv2HmMGx+J2d2YHeRkEwJI+5EPm4fZ8xDlpnbqYFru54d8mI+/l3B8NrpPgPlLziQ8+JobuwSlyozH7wKCOdH/GJPz44PH9DuQJSqXVB5z9tBvig5PrfuQ+3rfslvMgbI7nw18nq5OH89MkQNPLCYCZDwmGHUf8kkAwALA5dZrniyGW1NVEx5t40+uw+hRuaXZgA9PjPeQYQtU/TIJqwCtg+Pmyy1nGYInyPL7v5Lcvg9R4nBjosM4nwcORf9qN/kby/bT6ZGsF5EdIHkYfOw5GP4k+E+JCG2i543hhGeDNQ4l/y8lgPLOngTl/ZF1D7QV1wBbCFzHsfTJstP8Au36ohIT3ko3HljAnIA1kbwn8GN08SW5mPuU4E7Aa54niU98YYSd8pcfTLSyhaToDGBIho+5RdQ2CjALBY2TCfPMw4hhkYWpvAudYJrrS/KR05BvPFq24T3fg+YbSSNvYydCoGtbHG5gOvBdHGb93S0PvGwkRsQc+Y7r5uqvZpwfEDFZXHP7AT4X6S72UILCbjIhIeR6JNNnjIGJzg856ItZXdhgQ16n+wT++9lmAxJjkjBjufTCDb4fJKpxA5aiZCOlnIOQ7Zdm4WMoXssCEOcRHTRbPhnytwn4qMeIIy42hLZEhpe46ehYd/ogFws6M4E8LFYj4/GYEJsJh7sQ/UNR0EVvu8XUDne3rTc4xJghyk5fls1X88y7sHYxk8wHWPhFAsVeXIAsT6TgxHi6bk5ZbC8GEBauti2dg5c2rNPjPP4T3vgkkdu+LWE6IWkpt2fHceRLRCMpa+J/Hnwgaeo+dPhOE+M+ZiACArNu+ZfLx1/JABUeE0T5XWNh8VjNmqT1dCB2yC31gKEczVjJ4z49F7EpKNizj4bCZfrkrOeRLmeyBG81SQ6bbdDrHqjiwPB8HS4F5kSTsH0XoYML4uQehKjLDnqdxOnu0gDuoD0JO+YT3BObHcZvH4h5BEMb7XsBH3L5HqUWQcUjvkJOjdLRszk9YivMBz/psUO/28tpqCesZZZCxtMZH2Td4rw5tkd8I4fa8Y2xyU7h4cnmUkcaPGPFA3+VxV+mGE+lkLYa149SICAYNG1E8hnmxqOyLr6YGXhO3UvEYcI/D4Uwpa7fC/iYFI+m9uL75PKtPuCdZYbylyx5NvW6km45eWni2EzVfoQ3AHwsE5bMPGTEHI6zPudkRJhgjv7OZy2ffMnw3vu0BFIeSAkw+jk4v5SadtP8AaDMAAeAJYw5wXu5b7Dzkpha9kICyn6IuwSIe2okprub6PLKM0HmB+34PMnrZjqm2C5u2YRBBeF5SSXbK3cj3nG0U1PSF12ZdKFgAufkwEvmgsV1xGAYvC1wc2HmlOzT0ec+ownGoDzyxXp93ix8B76jsTnpeoIgPv8M1rc8fUdtfRmb7PhPnGfsnq7YMdTyd8GTjy5+P5B55O1stoDX6OQOs+qfvuTv0eWU/X3Hh8xuWPonxb8IToIe5UswHR8EvLeGOZBrHxJJ4IEzWXuMNeC5DfhV42NuJ8PAntihBW1wopEPCw2a1PgNSwZk8EbZ0wRBPZKaSdHIPyIywPXiMcH0C25cbmeLSW5/JE5lOwnem8A/ptwdXRlP1thRHnwFUAy3xeJBJPUejviVgEPTCXuIBdJEAj1+7eeILyznSh31eaQAXMxxRCXSvAxxgRZTT7vGVx3ecu0mWSlXRLECQ8QZPRnyujZ2XObB/yXuWyXcumSzJ34XyYPs/AGxHmK8jaRFMsEtS/OGsIAifXC5YGQY6W9IWkS2BhgWNEr5LxEPwlrbKOAeHCL3Edb4FqLX2bdgqv8o5O285IJp3rba+o8AsF+4NX1GWPDfXJrY89RZ0whYAZFThMYvGYn3ZuNgmW8GWF4E25EGERMPiCwmfLVtwlRu4by57ySbYgGX6p9RHleekXEa8WZ81gwJIlonrZEa0inxiLbusrGK8w6M4vneIBg07EZpPw/sRgIagw9WpefqJlyBt3Q92fMdJKxO/J29yOlZPwc/JW+Z0ui59kOxH6imsTFKz3+TnvwjsSR6z4uWn/Dk/GKxQhAgS3ULyXCfLn6rxRH3kqaeJM8eJPR4jg6x9RWPH6eG8ZFgvpzgzM0FysIjEg5dEOL7iZaQ7Yr3zDC4ayWscy8gQcVfDMdegD/3sq/Qy5KeXgWsiO+CXv7+pTv4swWn00siNo6OF4E6MuUfE8X5eE+G5lz/LqP2UMOWU6np+I0Fd+53BRGOs+JjMhcoSvKX+OSD0ixywIU3rac9JINF4df7dE1g5l5j5ufAdLMPIvB7fuD/4IPcYTlDs3ZiOzp6PUaaOv4TgBqzK35HkyjYiXEZj355AXw082LiHh9kpZODzjBVjjbCAfl4x5GAD0nmUd+tu+ZGHD4eGzTo2gp7Z6bF+HVupE7krf1Scix05EP34fiCixdE3wMOa9hkX5dbSZ6+AYG5bGycbD3A3bzZ6Z8AA7eE+iGH3H5Yv0cu69PlIbB3JEEXt6sGYYRmybG1kCeIKw5j8WfynhiSd06SNdXv6vM7vWey8JD2bp/SanhPDZZIzyO+zLKAhnH7Nv7BjWuR2BrYDWXRWf6GGwtepHinIBPdLP4tC4sBbCc06PzGFWEQWuDww6iNhu4SwpFD8cJk+Dx4Qrb9WepITqLJyXV2CA6h5adhq9zDVS58EYKwisPRMLe279SLrgYxAtJYozu1BxaPHOcQmE4aXqfskNEZDQHJl7MeSVeT1Ek6LWs5czOxNicYug6SdZ9EwMM9xbHoj8QvmBx8S1H63VWOG7Tn9EocuixhdkEIhcNsxdM2RssMEme7Ra+p20NvVG7eHbTq2sOr0TJFfwZMJ73Uf8oZMdDRrxbV4DzVYNgZtOW+77lpC01Lqj5lSXqZ5XoAMeMDUYruPmcxWG7DHKaBG6fTOPw4P9vMhT1PiD/CQIQP+THnrkPICO9xIo5Mc8m2ZerE27Px82hJxPg8jd2yX9jjLOZLZ+tvEuoRwk0GJHkaTB/rzABg8AYQ6QbLSBFwr0H+W3NBrDQQBZLoWWIbE7x/JG1hCQwT4cb7zWVcNYCJvzPdqXDrYdh4dyTJwfH3FYH3OS2ZCO8RJhAATpba1qszjAAc8W/Xh63hslJ18cRwL6P0+m2R48MMwK+YMPfAjk8pga6y3UN4nXDR9sDY6zgQnDrIV339mQ6S8W8pEV5l1lY6BPPhY2aS1fyeHu8tdRgi+PEDyjux9DuJZjePJXf5Mid73Pv8AyLhg/Hdv4s7BkpMYQkxvZn3kmsQTOLVms8n02bBPpno5c5BgqnuXe+bHrlqRKIAkY8l7iGLoOxqmIOPuz9wvf/qS1HYp9ljlYfbH6tfYuQ53OYf1goCTnnAH7sqdSeyInD0YgrOCzn+W1FJrXkjX4jYSHXLtQuBAbtiB9mWBB4wfUEdlbuXvDKCdyYqDaw7odWyEb2aPDMMSaMbSNA5doTmkdiyrBIZvrsCA6MALRhiAEgx5s2NtUSeIfZGjzfUGQGdT3VWdARfRE1rEOsh88UR2azWZFnXJ+pnrQ/rM6eEwrUdcl59k8NgHV+FMxlO98el04jqpXsWgI+ANHqxv/LWc8i8fawlvXITQrKIarbO7Wm8ZJy820eMGniPlIf6ysAM26yX3PcDrfE40DCMzZIvQWunCfD3HoCPEwCXjsxmcNnPKGkXGYHi9EYFQnGcWXhm4DT3lr1/SedqYJ0vInpp9H1e9hNkZzZQziRDG15CnsF2aJNY2TH0ZVkDRWdMg9/rZ46ePsWY4QBvljcJ8Ff5GucXxLEe9WdLGsc3tsHQnWGBl8JiEPB1gS4hMmxQe7xJ6CChKMuFuwUs7Z+E3lvbD+K3nxT4hO3dOXuNuwHIhL5LoTiNu86XgYclASaoeCPo9yV7PqQbDh93jOIxmvg3hBHOfrPjeqxYJg5ZAGXrJm+0KArih5b+ETqGeYFnwE7MIUEjPiLPiGEvTSkCEAxbEHfHZA9nYJ/7uZzQPwZDVwZ6Wk+Q6fuTrwmsIPeYqdRtEOH7azIENxv17wimep59QOv1xJxq77s631gSixCWa6/Hz+JEdM9NjrC7Ll/S7pXIoVgct9qxU8L2UQI3RcyLpCNvtsb3eCafsIp3l+ceMlNE/s8r1uQPUnHg6bkpwPffJSQAB8hKV8DnfVtlhouwWRNExvCGTlxt77kcnuxi/H7oeE3ZrZnwFiIgx+rFj5dgNj1rEYaPCwyPxsjgp1ZUdHp/8hkHsdOqf4brQcJ/ZXeFuywIwcod+mzm/oI2AxeYcgE1Q/wAWpPIQMnQXwwS8PAjrIeD6k52DsXbs+3qMni4xaSc1/wBDGWSwgJtndlBJiwO8fYNoJIe5wkNgg4/Mja2NmHWPLge9kTOmj9zuQ72PweCdDbiGnlkrR3ywbcvRFiMvB3SE8rYXBX9/JfOITZwYyFsSCOn0ScZOQY3kPw240zNRLOGj+Bbm8QORBHPYukFvj+G7Y52D1JCFD7m3TyCN5d1xz197BMJN5INg6PPcYR3r7y49mmnFyA0Qvd5y8eF2F7e+dJCZiyDjdezGDRGghPUNFvpnwqyW5CH8YeezG3E0sahAqIH7MKj3jAL0NwZ4hBEnbFJNJlVeH+FjUBnjPN7Dr9MxGKHfB36krTq/kA4HYGDxgwAw8MQAw93k6en7eSJiA/sY15HAyP4n46DBKwMbbunMgCXhPjCepeXM+pCr9WnkzxXq45GngZ263oSE72zwAf34g5q+yD4nAuPPzZJ9g0z3/Mi89HDEfoeXB+osF7/mFQw8b6nxXvZfYV7Ch07JhyWZDJpd/KntjgAzZCPk5OAXY3wDct1c+rbFg+wcIDM8byBG9JMgcHbZ3x6/v7aluKZp4IgB4CWQAXAEnHLChXoPHhn2HtiSYe8uW1wHfN3lAsflbpgY+Z/wDzGoem9UN8R40PXltUOuXRYQSba8UJeyrLMtCcTSNURMMa9zlBWU+2cdp9QO314YQ62ru1MMh/L2ARDyctFzEnjgtAId4h26E3y8rZo0+52eHtHvsIUw4HE4r+WoL7FgAy+x71tD5PoSFjc9Pns+BfBKTr2Fiph+RLNzxz3biYZUIm45/mbpQ59Qd8vcJhwTS80dWBOHfTxswzwm2D3Xw51z7l8KPM7mF+9gy+blHFAmvazTeQhP+W2OsjLvuZWP7EE4Z5/tlP8ADewWWbeCFjjI8JQ9rhJZHdsXmObsYSdd1K5AJP8AYptJf4gAuJKXHkg+1uxp6sFwQzBu3ZhUgpuz2HjwMt/WL6sHprmnsh4sDq5KyaYkac9hD3u5xzN38YIBfY/W2+Rhr+PJM2JzARyJT4ILEYPL3/PE0jVugMfzxnL335dYCA6651yCd6/MngQ+9LrPQbCMVq82KeU8cgViDE9K1+v/AMtoCHOeS8cDu4eb7c3xDprN8ZLPHX31EXbqPf8AwScI8sYGf1bVQnFk1lvCHGULpHwsX0hgGAkuhZmUwtEszYmyyyzD8ZmXSbfFlURivlIfLF8Rl7dyXAALh+fyTPYsEFYCP3CFmv8ALWz5Z2a9TkFRRnsjn6eDP6B3pq9z3/YQ3OL3Ptt5oz2ITMMZzkjjj3DYA0NyJjBuvZXlhbmRgwce8Nb2re5NQvc0gEOJ/bnn+RnXXA9P+I1jxy0nO55n+BfywoT7HJUBRV6mwwGP8LPB+yWMhXk7W4mNx1bI7K+aMOPj7igwn17Imi9uPHIhEt2xgJjP5aN/lyRTGnmEcUWORYAK2dT8ICM2HiwgxDs07LVMHmFfMFxAeHxahmEYE62CPDnuBF2PdGzrE93XdycfvT8j+4L0MXuN057eC0c3HN+7V63Q6/kM7pTQP83ndD0DyBhHCT0nE+p8QtzOynRmohuL6yTQqfzWyc9+2FETfsCfh5njbM69dyZwIOXqR/PE7D4ExBxDYNugPVjHj7ZqH9Pq4djvqcUP19QB703F+k5Hho7Z3sf5FiEPZKumrDzNPkAa3oZ32taPEcxBO2/M28U22iSZNkCIeQvuQ0nmRUdoTjPF34y11KOouz2+uGY9hGn3PWrhBhAwhyERpNoHJcO74XBJox5c3JNDw9WZwnMiQd32THGghrr/ACbvjZTvvscmBrW8Bdfq1i+ZJgvq5CX4HufP5dw8mA5n+J48DuJ2TSe/n2u8KBx1Hyzx/C/LxKPAcd7CW8C+roZ2BUwLX/UJTmOP2wFZbfeyc2t5AzIfwE29Qy0BNjBB5kDmknDEFh+2cIChpaiMC2rTWcQSCyHY7zlIHW1i03tpLdefjRLJwQ9JeR4l5w4Q7zzNjiXQGEIZHJ4eY5EMe7Ec2DcLV9CmRFFidByIYdhcXMCYReHFtQu3IoA7nJTXl1V60jnoHhPZqTiBmxxAeYXEMNqv9i+gOw3EH2FtQzcY6rpCD22wjC+/+MsPBM+uyoC0+IC6IL4mHAsXSQN02aaQjGTpI8W4lpeF5HRZKQ4x5+bwy7xkDxC8HYwBHV5fUPZ9kK74ko7tou+fWQ1A+P6tB9JXmMeR5yw11+uS6ONgZgsEImwg0G7wuYgr92kOn5K7Zwcw3G+rs76y0bGCz58GMQHhIDcC169fUYzUNjDnWT6C6z2TbK9Zr0MWvOvZeS7oaxZMkDgRIrBYeS1yODO6R5NjZ7+EscJbpJYTcByUC4jBc5JUX8SN6wPC284gSReeZXvS3wMczD0qzHb7Lbcud92axyWnsxdL/Ft4LRNOedi0cWRgiN4I+pGQjSbnj2WXlkcOOTo5S785CRXzls/zZaUlqYTpgy4P9gwD7QkQyB7vYxBwA2FOmyYuzN7zAb3iZltmioxnixWE81uWByXY+WirGSyeCux/FinfMeyMD7+NkhHOE7j4DFJkJARgQF5UvIREmOJgRBdkOIB1J6kfSBL98yAFdxd4zV0AOSTl5JD0rnqXout0fSLFh8mG6R/RDUPm3FYVcLftf5T1CMM7JnokU5BYyzLU6XSDLsHjaAk2dLUKS5NBAXR8EGFiCeQ+Mvm3uXTk/dDeIUG1ZIpvYX5nJW3zEbN8shFZFl6I8byghvPJC6MM8t5+LTPEaKILAsjZwk2AQXeJ4236yK6mQAcuP2noYFg0Vnyw5A9W+1oXoMQG2TW3NthJjyzeDB7Tjiy/FT6M7DqBq0fgEaI0AYTURXJQDJqgZI4vCLxmbcE6IAYCbPPwUwfU5OQFAnxPfl2veSPLYtiV0nyzRZLWTNEHH4CExAhMvou24VEcne5KVVbnmJ5TVLY8iH8PuRGHoRDfgmvbxfy4WJ0kvbf8ZdUDPg8cCNnszvMc2iuJYTxEfI/DSF7m8Xx//8QAJxEBAQEBAAMBAAICAgIDAQAAAQARIRAxQVFhcSCBQFCRsTChweH/2gAIAQMBAT8Q/wCwJgk5yyz1FoSztnbA9LRFasNw/qMDD/r98lrPPJn1fwysPpPuhzwZhssQdXW0jh/7ImeuSA9PyNJkAnI75vhPA7t3E39JiR9ll9v/AFWeMs/wMvTByTXkZbnIlv5JMoOzPE5vLZGY7wtO45Hr5AHD/qAk8fZnPn+I5BfVmY3Jx0Hk2D7Z8xkWH+rJ6MN8sifb2x+pA5IxLDDdd/6fYZbI1KSfTzPmwxzDf/cd+m+M8EFoHXx7cAx9R6OawInWmWPxDyQEaMPIIf4rGaXxGSdSF9/6kcSUBgQxAH9/YB3r4QzUbAQz747ZCJ/SGOBY3kpxtrOA0Nn/ALEE/uYvkcxiAHv7BsgNHXbcY+wG3ff/AEr/AIhXJ00C3KbjO05flsESEz2UesJ0JIObY/V33HGiK/CNG+4Y+rzIdHUtpubAe5c225XYehye5wsfU/8ATJ/jrD2NeiTASyGgImP6Qlt8aH2HgA9zuexSBxfZc5jH9usg16er9nJ2mwgb1IAzg3M/6Asjy+M8HjY3LHbkZv8AJfRHcix4iGEMam5sQkbOP5jaGJbPvJV7Pwh9vsohnI0evVvbFlI6P+h2LLfAWWREjiwY91l8i+LarRPV7JPsgZq3+1tl5Lh/3do/VBy0/gdf3LaAP225HSQ/Q62jvufjP+i5BDyRMIylEOSY8t8E6wmIrMdzBh0L2EnU+tlCgWAO4kp8gjml/qRbVnIpn1Edu3j/ANEHglnnoWjZy+SM595D9w230S7B8d/VjINvjRvQdWEdB/JkDwTnDMwqPU9QbkE8+zUgf8fPGWWWSeM8C4JYniYe3NsT2J5Z2/D/ANWYmuxx0jnkCHuQJk57jJszdPwvWP8AUEpAPhvlm9KCQ4wsANLBcXJuT2QvT8/5Oc8BDnmzwZ9ns9vA8cWHIjvVIw4d/WcBgpPA2erttm2jwrL7WepMdzIBOGNAkw0lgiEHorKJdwcgeut/4Of4hBZYWXaCNrZCDxBkHYgW0Czxv0yMnGTuLk7xJO+4/v5tvYxEF+RMbjfyz3PulOvUpY1eWNGTQc/qROJnyYh8WB0/4ZZ5HEnjfAQaeMnEvbHwVseIzdeTLrn8fYqXf75F+o379jiNF7bsaQ7pKDnuO++NogVidJU3LFIsgaNponHvMRb53S+GP7jOs1cgCspn/BPIzBaRmcuBgwLE+GYQMs8KcUDb9FHjWQ0nSF3/AGRPAPM4zvmkt6Qx6j8LQJDoa/1K9Lho1/EjOCFAderLNknFz2WD7l0AhIT/AMQid4gWkNk7FKMi3xlkPLPj0RbcPGBNL8UAWsIX+bdY/MHgJBw2G9PZKSXlhMaQ9QBY4StHyAM+OxgZuW5af8HngF8PCWWZGvuzZodjyNsM+FbbPhRi3uz6pAfl1hnLGK83xSJXp7lfpzEpAcIXzj9LY6W2yxm+z5DIIJAv6/JE9wv+EeCJ4st4QRLknwMsT52YttpbBtn2cQJoW12au4dZw6mwT3Y3xHPc+4NgO9Nn2DD2S+rP5I0lGHw7bExI9n68vnYEPP8AgaFl4F62pLWMQw8MLHjbS3wstvhsGwGQn2cQf7sV0yc9FquBhaLF4WCS89++wko9/wDqbB43PcDU32r3qk/jcn1T/rufl29gSOMjB/nn+T4D4CxROAZBvhV/hmeDF8jGbL4Oosg57t4cfLCbMGsv9iOGOdbAgsP7mdp/fYCfqWa9QIu5z9PsuPfQwruDyGMefkSndlcxgvnuHNIuYj03/P2uyGeO2ePBfFjISTYkTcIsJCdM48HPlfGyy2222wyyUD0ZjMP8TJk9TIaQw7fz9n0Dp7jo/mND8ZIfxMh3GMt4MgLup72wcFtB251Ij+Lh3LFxLXyAcf8ADHwXayHsHh1gtuXjhB4GmSrGBk8NyXW20gPBt8M+G23wbHsseIjutp0xFe2LYcsJHS0hVjeh80sA/rbr+J5jNWH+7t+5JyLDd31AcRkhJkkUx8Paxn+AefNgQg/xuT7iciBYkW1YF7xDqxk+7ZZYmfGw22ywnRuy9lmcY+CG9gN1+WpWiC6D3Fg80k3HqfA/kkJHieCSe/6JO2a+APGse40T4ZzwzwCwhZJ4DxkXbYiraEkiUsPj2S22z4W2f80WlzOGCR8izb9nbniX+Tl62mDS9D2MKVT+Gw7EsjExuLp8UbWLv+FSHLfG+B6l8FzYMAJZugvWAfFJvjLWPI+Nt/8AgFIkXvP9eRC3+7NKezq2YnEkkRcQzSfbJEHOqzdfmdgbGeOWdizRbERggueUbXwPi3yJfjLK9vEWMZLSHgRkfDDfloZ8MFn+AmdB+seA38ucB/E2A4M7KSZtq6iFjZG1I70suv2J6Mul/HwI4Z7djh2TGQsXJkxoZ40iIMjLJ8bPlEzHwbDlznBrIhNuCUaE4Slg2EgOfW9D6MtahfgTDbb5Ya3JNsQ4fxPX2hAMDwZQXd9fkzIjKKZDbsUxllrHZ9JMxuhsZbgTdLD3+L7u200Yz4DwZYvhyAtbZZ8dlZi+NtiJVs62iNGOAELcwlfeQnsBIzOGWbpZF/kXZpexPBbFiE7ZnYaK/psU6F90GXxclXk6Asb0iVPq61D++kGAWCOD+2JlbdIgMeEt7D9ZYuSx22zIEgGInj0w8mEf8jZf8csbdmYF7YDqQLbzbT4w+mJKeg24uF6fg9MsS5wMVEH6WC2ZcOwdPX3gP6uQ9fnAweRO8zn6W2fWX9sOX8wyeC1eyiSQ5N0wiQzmW/C/7hjrBkQPs9eq3eMuG+34RxzBjHU1uJJFmQ9ll4hZdNkCQcIFjJ08DDdtfICxkcmdsirA/JT2BCsgjmeYjhhHa9HWPcDYgII7ScLOIdxH88j6AP2c30HP92/9J29jRsIYFmUVn5YQHANlecX0n/Q+HiI1Qq7xvRBtPHCQN0zxE5fJHRXUCQD2ten92c+Ow3pOtJ9je5DJx5b8D4MoQ9gJI2KeL0s5D1LQaspi+FAN5H3SqENIJxjxMFkmu/6IF9bATA/R1/lYjX85E6MxGCv1sQXfqHjNe9tRHFcPz5YV0dP4SKgalx8TyKJnGZpufST7PTBA6x5JZ5bLEr4pArFgT2m/ZDczXVhLG5+du08gqe3Jsl4tpmSHRnWXBv1gBwtvaR+zGyFaBNbZIl2TIjvGSnuGbZL0kXMN0CYxi2ZX+Iy46s5k/wDwJYVAS/8AlucLU/A7NM+x8hHcE37Y3fZxkbE36RT/AEUf9OWNRTpbVpZEe2LuH8IqYGflktxj7yA63L14tv32jq7W7iL+xfbwb0P9QHgZw+F71hs9TsRdknfvxu6HMkcJh+keBFnZHPfhVaQx1fJ4JrkubI1OjLyvEFhDPTa/sI0b3xnbf2lxv7Yf6eo425T8gB78WNvV/ZF5dcP5ZBt9MEiC8VhA46pcsPI9D44V5BPVYKtxydnARlYXvOyyJzfUWSIMlOL0zA95ZAljL1g50v4x+Te7iXcmj6W/9HdilPHZZDk4tlEJ7ufuSOQBsGS8ZTwBW2nYhtonCM+Wt7ZcPV0rYiXpBSw8SOdhyB59/ZtUCX5J9MtGuwuIcH1k4nN5Crf3dJgJC35IFbGaBi3+Gz+7GJaNT6BZLeQANhtrG8PbLq3eehhjpG8tfxk/sY5GsDfABaj1N9kSbJj7hsTWXb2MSAwmMhU0DtqcvXWwLl0I2Nxc9eMATw9zjXvAWbseOKZPMXPot/uvwmfeSHex94yX0DxII/2xEwbgt3eAOCWsXgGMbLU6Fh9pQdlh9qO9hnTxHS0XpAu1BBH6gddn6UknGkL6jbJl4S5JqEsznMc7Ib+U2eGWWroJICQWPDDyzw0gjhs/mcCRv/3E1Yj79pmhIET8st9JCVkrAFm3wOH2Qd3ljHjwmB8L7Uz3wywBsEeeI92f0To4Tj+HubhulmZSPk5cnCalo+39ovXjOyXgZkep6zzxgmiONkHgVE6HLdmxt2ZYNNh/SgazZZr4R7XW1Z7GML0QYny7XIOEF2SVhrOXQIn0RJ92iEe5z4jJ4htmy1KSnQZeN24JmQAyDbZ6yxwiAsPQkaEypPAht3xOdyRJHkpv2TDs+/FR6topY2W4nridTC7GmwxJnRpuTM5vc+33uH+rWcHuIZ+5HoOOh/dmvqD3Ok0tCXXnkfItHjNYBZvS1MuX4Lx9MnMOs93vpF9yh0v57BPELD3nIjJssQ2KIeyx25BMguWHLAF0Y2SiWZJnHhCp2Tvjx4E74OWjlwxYAl7RzOwQX3l7psA3JjrLVPvCB9sLD++FxDO+35bS+MJ7v54TwHkryMShlE/IYwJGzRiP7CQfRBFq4YS8Dq0iDxBekUz7lqN6Wh7scTvufAis0NFgVsIRnTZ0ydvSC0Fpn29IkR7J7uQhJy67cK3fbDXqET0gHNtvqMY9WL8J2bZvQjwx8k8fzZbZREQr7N2oUbZwIMhkEDlxF0jteK+vtn9Et9t1sbeNrZxHYXScSOuS89R0hjLqDPHUxoPgLkjM2EPV4CECCYx27uMQBmYfBkPEWS+Cjx4pyboTo3pvJedL5p9fs5E4GYfmXGkJWMj1ZBg7YyxHuFJGII8I58v6jme89RonkHgwBlqsZRmjYfyywUw4YAWAFp75frYaSA1WcXuXZLqSBH3sX0fcekEk5J4GqNWEx6uHZHPDe0vIt6F0WV6i58jzczZyO0W1IHCxPdkXa35/qQ+pe11bwYjOGxq90e2QEhijQmxCSxY+dYIHbvDLNmpxA3P2wm/dma+7IZ6Pf8zQEd9pKD2yJ92xi4w8gYZP98CQgdMMmO1U4S9sRE2ycp5t3SK5PpGbE3lnude7h8Fhkdn9HJmT1jk2bFgQ0D5M7WamTmZG0Ez/AGJIwxJYTjy4d8CEtHwkDbcnZmlHAaI5YLnP4hffrLJQ2I5vLGN5Kek2MX/EyNWkafy2EVQu20tur+E5H4eBqYJPLvFchJe5deKxbGXLVx4qMEMgOxvzssscCQyA9xOD2yBLIdnaYd9GyZq6diJiH4tNzAfMoeeJkNm2C5uXr2llyfDPvuUFPIL1H7y3y6++3Qj/AOPtzLHj2gI5zwnWRxAx2Wg3kE1YMi3JGcOyYmRtwj5hnJzZElhFm5x+2Oe39jCMu4+zW62cM2H9Rgfq5zbAN+QHJP2bLhIeWymzwso8NJc2FhExvV4ERwr8J8sh759mwCOdT7b7bsvIKrp8/wBwbVlbCHIIF91nOcbZO+OrM1S2PFJt5OzNWRoCPGWvwer2hsjvLn7bFlDqph6Jh5/MeafLPG7huHi5hom92fDYZLIsLS7ofmzEmD1JGuOcI7eO+vse4GATvFuHkj8jdy2ZAhx2/mtUu3gOOwnPFlC6ztfnLDGxml1Zc8Bwt29r18YNHuAde4wI+7WXRlPfZLD/AFd6fxKnvfROWpw+DZOP4Jfc2+W9hNRTK2Jtvh8Bfwzn1aA5FW29jYEJ7TLAnyQzOXBI3x6isBYkeAfiPcnG/S16OZD3IkmVuQZVth7llo2mSdMj6+i5QkbZ9z4JMR1sedN0LVjZJ/E92k97M7Jng6tju0zdsvvgmbZGHgBkHv4RYZPtyyi+7D1JHrJa7tn5CSuvCRtXpekug9MLcGHwlm5lZCZYzxswTFDYs4Zntyh8st7A9Q6yt0umWXLvnyD0J2FD1lwCxTf6gQGPgG7U+yxL4C3y8wt3u6zfzLd7nLBA0X6bC54xxWSHwOFt6YX1va7KgWqDAFzMLZTxyd8JrweyCHC9rjkxGbsAFoEnLpdMDy3176xz+WQaXDVhqLhiewOeBMD3e6x8CZlsAlPt3ZUlhNLPD9vcKIbjkzxLsMLMt2NHg22SBjCD+dvfqd9wxR87ok4kZDGlzyDCPdsdkzxsGlsrc5uj8PzlfVnou5C82AvPbOhB8P2Nb4B9WFomYkxIPE02LNnjcOrMx7LjaWP5OAUp9hEa8gvRYuuyREGvjRlHqTYCVmS6D6I5gJc9poMZORzdvV7EUve9Aj3DsxdiXJE3duq76ldNpaGP0lrMZY8clWrdhln7s3WSjb70ndOJ4Fh9XwvFCURBIj04TPlv9usNYR5ca9uX0JB217oMwD2EucnqzwqsnHglRUEm5A9/JexqvZWV5GDsA7khFhLMuHjOkpankci7+e7id4ji1cJFmqfXI9LRT7l4WJwXKjnfUiPt+ENkFwtHwdIh1hXlrOM5wkHPtmy5Knv5HYkPjwLayTDLVtA8AgMJTI1IH9D3mWfU77i1l6jdZls8BrZmLIUBze2IEcc20iNPDROysgNs+ki/JHuBB4PsrWRNF+J7rHhuzHgYsUgniliejntt+ko9EuI5ZbX74M3WfZYF3tfsNY+ocPQ6u/lvbfsrVwgbNyB2zt0YAXGeT2vbwqj9fWDsO7SeluUKCSQsNluqxS7CPTxFt25ufxJIxzrPk68J4xtyTmLxbJjVjFJZ8izoT4C8GyDOXuViGA2XtZnof1gBdj2S7MI8IeH2fcS+nkLgwyVEAI1uuyOlrBuDPefENbjviFokuIYk6+Tw2kfDPlo2MVgsFjCTdrR3IkzLvgKSeDbrN2blDhmoBIkywDl0Rtdb2a/LghyATZEdiAuXAyBHpEm3kEy2Zu+4pSepkbFGGQhy6F6Ee47EVisc+INq2CwxxspKJJ+yPDpgS133C9mfLryfXqSyHg78MK+oCQ6w9nR6gc2I9AbQ/wAWCyLEBdOeFg9xZ7um3Ys8joXVilsZzIG/DwH+IT54DY8l0gXvHjXxvj22O4sJazsrO2H8IG1sq22hsuORo3f20zEPYLkx0QLKs/sbGwCxtzH7KyTbPqeue4Xg/JzjY9StvRIREefYz2aLaO3T2WaD8LGQ54HJc2QzAgfCBJySfwx2vHa8EpY8AkPjD9ty2MliLTxOJYMzD3diLPkk6zA/ZOwSZHkFzffIfscfrcAOZwkdB7GsQX76YuHX4/ZYYxvR+xBxGVizUtgh9YsDmECFkz3hJ4S4PjbXZgsQkwxwsxgnAYWY06PslyNg4nlngV8GPhdxCKLvjjtrCgmfkBA9F7BtwE6XJJjO3CPzjqKQIHSYPRLZ2zQAObIfLE9Gzo7hl85wiH/MT/SjPb4LtkS4+Jg+B8Tpjz1sM/1LkF7S5Hv+I2csOsf19kc6skMYGYW1XwyYPE5PqJ8Bw8Adp1fjcO8D62SgruToR7iMDJDK1IDiKB1+qX7FsRhD8fS0AFsJCIVXWQQQM4Wpk5vzpsA2bWXC9/gT5YklsNUcJy4P6lEbpbBnc8fmzE+ofunfWM0NrG5dJXYADsf00+C6h+XLe2WZNCwLTGsg9El3dr2zDLkwmUge77Hld9M//kkSOdbfp9/b+S6H8Qi33j4GY4v9RqbZjsNAR4/fbKErhgs/MHfGm2YEieZhPdR4iHuXI4Vq2PiDSVtj9T+Vojn9XLdQF7+ofNh+EHG1PB4EeEVqyZl6ZS+6y5ksULIyNkbWSoUYb0W3Wc23wbl7e+PLQUywkLWbnqW79RC8I9XxOsnIVsrf9MIg3E7tYT4DGbzs2RYbO+oHn47HssC2nhZiz09jzvgGNYMgbaERY6bbByQBc7MRgvafBF3x5O1SWcLr65D5sOI8SsQ7EZwNh/uQ7ssHO7D/AMBB6+z1ex9+3T69azo8D+iwcGxvfd/Antbml8MtOcNkQAEoq5rSXJ55PCyxcfc9Ip/RHaMQvAzDjPyxzLQmZKcusV3K+th+X8FptQc2BPWTsSlEIZZZgctf4l1ll4BI8FvY25Mf7k4DDOr0MIp3cIerWHAHZP8A7RXWcsI7Ac9c9XuF+D9k9wHq2T6vdH9liwGwvUHsviHpMNk5af2LO+AONwTqjkKd+xr5Ilv7cfdo2DfuWB+ckMsdiIZHX2x78CxOGXGc8WazdFtiheB3KtZw5OBfmTUs+hs148uGndIGo/7nMA9vCWB0zJDLBwWY5b6LcGH2bHhjlkP9zsGZ29M8fSbuQf6IeEgkOj+GeNgsKSMnLNk4n2wIxo1hby3O+8gLt8TwEvmXUM59/YGbhZCDshSq8ufSFlIHYHhnfD6/wJ+EI9R3txUy9BvIKHYJBzT/AGzHp9hKfWLXN5aIxPTIY+utod4gK+3X2DbG38S/CREqyO/2w/kt6WQ/i5Kfs8+W2NIcCatMS+pdNzvosi8BA4ZjIOwf0n4O/mS9QSwH5bpffA1ikjgXu20tglBfZTLHLUTZZwjUG3PLSOLnLPEez9WT9yQP7hGt6sQg94b+T2MHFj1Q7kOvkk4xyBNZHZjn9zvJoewx3D+r8CVZ6IfRDPq0KA2zAReMMbEncaSQcZoy2SxyyQKtsifj1DRkkYHk/awwya+AF4GcHIHuCeYI3bhtXL3WVsB4DCxKJHjAf4AB7Z3YLASXoEaOfCTZE789Qsb6SeL8j0/d7cvSRg57GV9o/wBydwcvbZ6hHthX3khL1cbC3w20bU4L4StOmWN6HsFw+2rD/cberUf20C+y1s9ytV1W557zs107cteXsWMIfsfznOZbFrvqx9SAbnG70hAXuAerR9wl08ZE5YSjZyWAn9uyLdyJT0hEtEdY12Q/Vuo92n8QDNkPpwcg3zc31D7cZMx3YXX1+SvP/tA3l+nIKc7E76yQd7kExXbHjeQTdvZP/UP59yr6nmz9c/bRnw+slMZ+j5a+0EwEyJDHwHnhnFi7DmyxzJO2aDYfB6lLc2o88t54PGyLHxekI+j0wBEgJ2J6RuGtu/8A6kbxkd5yToEj1pBIFce+HbRg5+Rl9duO5Kwt9BC1i5wD/Ub0bMCI+xbshD1J75cvLQ9fJ+ie37s+vfnb0/8Au/Lv9sb3Ujcxet/I0749Jc8GtyjhCwbbIkQK9PhsnkiYesD/AAPcPj0f2AuZAhYTRnvbsIiSAIXGRjIaZPkFp+/V0bbj/FoRlNPewMPTSwHW0BD+LDBXW4M3bBd6fdnkBn7sAMYfDP8AcPOzQ+Co+x793ruQugSuYll9S/jiyAz2+Egg+5G+7J//AGzvWytyNRYMg2dMF6t/d+ZI9IlNCN+MpbOTlyzsEt697faQzL17af2H45OQF9xkXLkJCEY0n7Kxu/YANjdywXsa9Z4fcJ4zOXoZOG18EPaJn5yU4Z+atiIO6WPxy5mvIxMkH1Jp/N1+uSRwkegGUDP9dgm8+Wb3PkQVpvZCcuXxs2wBPEKgkIRkeHu3TFrxkElwyiG2zniMNsAS5WEazpgiQlJ7uJ8DZkF94EAwgOKA9jbA9Rl6ll+5ddUj8KxPW5AfEC51rAvSQcAxokGIc/fc+knG7HtJ1rZQ/GdM9QjiVNdMsCEbewy5193KEVvtpuscYOkGW+DZ0+Iw7abVTXLgIJlujaJvewQ8QDzYI+9sbZ6sJmSFKWH7KXuTJM623SWKzbkGOlmJaC1NlkNgBnhajJus09QGSrhtYIq5DO9szhZ9Hm7T1bDdjxiw4xwtSSMwUXJEvCdI70QC1GkhAzH1LgyRt4Oawflw92v2UNnc2czrHPGUYAzrkwwO3HW6eo0u3XklWESL39s7Y7mQA9sPkU1u5AGBG9Z8GPbBzxK+FfGQkrBd7mdRyHDw2kNs2yDmWUBEmQOeLowD4e3on9WJUiGrPnNQpHZJMQpdni1C+NJOp6Mbe702+wSZntL2ftaJ/dgeML1PSC3W9jt/HO76ZP6JZsI9QDhKPuXssQSy1bLsG9UE4TFs5YNvLHbEPE8OSRjcFlex0n+xNtjI2NniVIA6zn7dIQI4n95ZDSuwORCzmpILZlo6yY5G8sDLe2yJ8nTuWXPwMtu2Lkm+yMuZKR2ESn23S6T4CvhGXgNXC2ZQmWXcGMkMnT1ZpaY4ICwvFB1gWFrBjZzYQlowlbcHjdK3zQPlnZ+8N35J7CbKPu2ciz0XpdW1GOkC2QpMYG5Mncm3cbJGeC+ER7GUSQOSbGrTPEkDJGHfZ9WHj6XqvTx7SEnbXb0sNiTFZ8kBEhvlCKB4M6LB6gBiQL8ZOS5HiLk2FhZ9eC9i+Xp/wPvxcDsftF9mZ6fJvbwDL7F//9k="""
], is_picture=[False, False, False, False, True], key=3)
message([
"Wow, he's looks like a good boy",
"Could I pet him?"
], is_user=True, key=4)
| 9,827.566667 | 294,177 | 0.973669 | 7,487 | 294,827 | 38.340724 | 0.970749 | 0.000073 | 0.000167 | 0.000195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143638 | 0.000458 | 294,827 | 29 | 294,178 | 10,166.448276 | 0.83045 | 0 | 0 | 0.136364 | 0 | 0.045455 | 0.422018 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
27174fc658976874affdca54f54399a407db09df | 77 | py | Python | duckparse/__init__.py | CyberSaxosTiGER/duckparse | adcf14e5098d30fdc8454798a4516aa1dd7a7449 | [
"MIT"
] | 5 | 2020-11-02T23:45:11.000Z | 2020-11-19T23:06:59.000Z | duckparse/__init__.py | CyberSaxosTiGER/duckparse | adcf14e5098d30fdc8454798a4516aa1dd7a7449 | [
"MIT"
] | null | null | null | duckparse/__init__.py | CyberSaxosTiGER/duckparse | adcf14e5098d30fdc8454798a4516aa1dd7a7449 | [
"MIT"
] | null | null | null | from .kinds import datakind, enumkind
from .duckparse import stream, section
| 25.666667 | 38 | 0.818182 | 10 | 77 | 6.3 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12987 | 77 | 2 | 39 | 38.5 | 0.940299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
273fda37360b8db4de86453654c0bb22eceb0098 | 372 | py | Python | casbin_pony_adapter/filter.py | drorvinkler/pycasbin-pony-adapter | ac8d66cb38c49e8c78b88e38e909debd4438a4cc | [
"MIT"
] | null | null | null | casbin_pony_adapter/filter.py | drorvinkler/pycasbin-pony-adapter | ac8d66cb38c49e8c78b88e38e909debd4438a4cc | [
"MIT"
] | null | null | null | casbin_pony_adapter/filter.py | drorvinkler/pycasbin-pony-adapter | ac8d66cb38c49e8c78b88e38e909debd4438a4cc | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
@dataclass
class Filter:
ptype: list = field(default_factory=list)
v0: list = field(default_factory=list)
v1: list = field(default_factory=list)
v2: list = field(default_factory=list)
v3: list = field(default_factory=list)
v4: list = field(default_factory=list)
v5: list = field(default_factory=list)
| 28.615385 | 45 | 0.72043 | 50 | 372 | 5.22 | 0.34 | 0.241379 | 0.429119 | 0.616858 | 0.724138 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019608 | 0.177419 | 372 | 12 | 46 | 31 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.1 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
2759c9e14405f02c38895348e440e71723332568 | 294 | py | Python | kbase_cache_client/exceptions.py | rroutsong/kbase_cache_client | baf549229e7e79ce9afd66839ed61c256d0d467e | [
"MIT"
] | null | null | null | kbase_cache_client/exceptions.py | rroutsong/kbase_cache_client | baf549229e7e79ce9afd66839ed61c256d0d467e | [
"MIT"
] | 3 | 2019-03-22T01:19:41.000Z | 2019-03-26T23:21:55.000Z | kbase_cache_client/exceptions.py | rroutsong/kbase_cache_client | baf549229e7e79ce9afd66839ed61c256d0d467e | [
"MIT"
] | 1 | 2019-03-14T19:30:29.000Z | 2019-03-14T19:30:29.000Z | class NoCacheIdentifiers(Exception):
pass
class HTTPRequestError(Exception):
pass
class UnknownRequestError(Exception):
pass
class DownloadDirNotWriteable(Exception):
pass
class CacheNonexistent(Exception):
pass
class AuthorizationTokenNotSet(Exception):
pass
| 12.782609 | 42 | 0.761905 | 24 | 294 | 9.333333 | 0.375 | 0.348214 | 0.401786 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.176871 | 294 | 22 | 43 | 13.363636 | 0.92562 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
2790b54b2c7c27d0d3691a22a08a41974810389e | 425 | py | Python | UserProfile/forms.py | Mihai925/EduCoding-Legacy | 7c6de105deb186c3442f8d7f9f1b9f99708f8fb6 | [
"MIT"
] | null | null | null | UserProfile/forms.py | Mihai925/EduCoding-Legacy | 7c6de105deb186c3442f8d7f9f1b9f99708f8fb6 | [
"MIT"
] | null | null | null | UserProfile/forms.py | Mihai925/EduCoding-Legacy | 7c6de105deb186c3442f8d7f9f1b9f99708f8fb6 | [
"MIT"
] | null | null | null | __author__ = 'varun'
from django import forms
class UserProfileForm(forms.Form):
first_name = forms.CharField()
last_name = forms.CharField()
email = forms.CharField()
old_password = forms.CharField(widget=forms.PasswordInput, required=False)
new_password = forms.CharField(widget=forms.PasswordInput, required=False)
repeat_new_password = forms.CharField(widget=forms.PasswordInput, required=False) | 38.636364 | 85 | 0.769412 | 49 | 425 | 6.469388 | 0.44898 | 0.264984 | 0.208202 | 0.264984 | 0.577287 | 0.577287 | 0.577287 | 0.577287 | 0.391167 | 0 | 0 | 0 | 0.129412 | 425 | 11 | 85 | 38.636364 | 0.856757 | 0 | 0 | 0 | 0 | 0 | 0.011737 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.333333 | 0.111111 | 0 | 0.888889 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
27d602d7a035c56366f568f3f138cbefbe0b18d8 | 69 | py | Python | test.py | SJ-Hong86/pytorch-playbook | ae169bd88faed2e7c5aeb6fb4b116d991ef1567e | [
"MIT"
] | null | null | null | test.py | SJ-Hong86/pytorch-playbook | ae169bd88faed2e7c5aeb6fb4b116d991ef1567e | [
"MIT"
] | null | null | null | test.py | SJ-Hong86/pytorch-playbook | ae169bd88faed2e7c5aeb6fb4b116d991ef1567e | [
"MIT"
] | null | null | null | import torch
torch.cuda.get_device_name(0)
torch.cuda.is_available()
| 17.25 | 29 | 0.826087 | 12 | 69 | 4.5 | 0.75 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015385 | 0.057971 | 69 | 3 | 30 | 23 | 0.815385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
27ea9a85edb5809d25b4a9817acb19cfba00085d | 730 | py | Python | scripts/create_groupby_data_parquet.py | ncclementi/mrpowers-benchmarks | 54534af98806a867f6eea9dc9d085ed377d6737e | [
"BSD-3-Clause"
] | null | null | null | scripts/create_groupby_data_parquet.py | ncclementi/mrpowers-benchmarks | 54534af98806a867f6eea9dc9d085ed377d6737e | [
"BSD-3-Clause"
] | null | null | null | scripts/create_groupby_data_parquet.py | ncclementi/mrpowers-benchmarks | 54534af98806a867f6eea9dc9d085ed377d6737e | [
"BSD-3-Clause"
] | null | null | null | import dask.dataframe as dd
import sys
dataset = sys.argv[1]
if dataset == "1e7":
# 1e7
ddf = dd.read_csv("./data/mrpowers-h2o/groupby-1e7/csv/*.csv")
ddf.repartition("100MB").to_parquet("./data/mrpowers-h2o/groupby-1e7/parquet", engine="pyarrow", compression="snappy")
elif dataset == "1e8":
# 1e8
ddf = dd.read_csv("./data/mrpowers-h2o/groupby-1e8/csv/*.csv")
ddf.repartition("100MB").to_parquet("./data/mrpowers-h2o/groupby-1e8/parquet", engine="pyarrow", compression="snappy")
elif dataset == "1e9":
# 1e9
ddf = dd.read_csv("./data/mrpowers-h2o/groupby-1e9/csv/*.csv")
ddf.repartition("100MB").to_parquet("./data/mrpowers-h2o/groupby-1e9/parquet", engine="pyarrow", compression="snappy")
| 40.555556 | 122 | 0.686301 | 101 | 730 | 4.90099 | 0.287129 | 0.145455 | 0.181818 | 0.266667 | 0.850505 | 0.739394 | 0.739394 | 0.545455 | 0.339394 | 0.339394 | 0 | 0.061824 | 0.113699 | 730 | 17 | 123 | 42.941176 | 0.703246 | 0.015068 | 0 | 0 | 0 | 0 | 0.423776 | 0.335664 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
fd8f0351359cb14da65724b80484ca756d95f422 | 2,621 | py | Python | hask/__init__.py | evhub/hask | 4609cc8d9d975f51b6ecdbd33640cdffdc28f953 | [
"BSD-2-Clause"
] | 938 | 2015-07-28T22:02:58.000Z | 2022-03-23T21:58:07.000Z | hask/__init__.py | vtheno/hask | 4609cc8d9d975f51b6ecdbd33640cdffdc28f953 | [
"BSD-2-Clause"
] | 20 | 2015-07-28T23:42:13.000Z | 2021-05-19T12:31:37.000Z | hask/__init__.py | vtheno/hask | 4609cc8d9d975f51b6ecdbd33640cdffdc28f953 | [
"BSD-2-Clause"
] | 42 | 2015-07-29T17:51:30.000Z | 2021-12-07T12:50:25.000Z | __version__ = "0.0.1"
#=============================================================================#
# Module imports
import lang
import Data.Char
import Data.Either
import Data.Eq
import Data.Foldable
import Data.Functor
import Data.List
import Data.Maybe
import Data.Monoid
import Data.Num
import Data.Ord
import Data.Ratio
import Data.String
import Data.Traversable
import Data.Tuple
import Control.Applicative
import Control.Monad
import Python.builtins
#=============================================================================#
# Core language
## Typeclass instance declaration
from hask.lang import instance
## Operator sections
from hask.lang import __
## Guard expressions
from hask.lang import guard
from hask.lang import c
from hask.lang import otherwise
from hask.lang import NoGuardMatchException
## Lists/list comprehensions
from hask.lang import L
## ADT creation
from hask.lang import data
from hask.lang import d
from hask.lang import deriving
## Type signatures
from hask.lang import sig
from hask.lang import H
from hask.lang import t
from hask.lang import func
from hask.lang import TypeSignatureError
## Pattern matching
from hask.lang import caseof
from hask.lang import p
from hask.lang import m
from hask.lang import IncompletePatternError
## REPL tools
from hask.lang import _t
from hask.lang import _i
from hask.lang import _q
## Type system/typeclasses
from hask.lang import typeof
from hask.lang import has_instance
from hask.lang import Typeclass
from hask.lang import Hask
#=============================================================================#
# Other imports
# Basic Typeclasses
from hask.Prelude import Read
from hask.Prelude import Show
from hask.Prelude import Eq
from hask.Prelude import Ord
from hask.Prelude import Enum
from hask.Prelude import Bounded
from hask.Prelude import Num
from hask.Prelude import Real
from hask.Prelude import Integral
from hask.Prelude import Fractional
from hask.Prelude import Floating
from hask.Prelude import RealFrac
from hask.Prelude import RealFloat
from hask.Prelude import Functor
from hask.Prelude import Applicative
from hask.Prelude import Monad
from hask.Prelude import Traversable
from hask.Prelude import Foldable
# Standard types
from hask.Prelude import Maybe
from hask.Prelude import Just
from hask.Prelude import Nothing
from hask.Prelude import in_maybe
from hask.Prelude import Either
from hask.Prelude import Left
from hask.Prelude import Right
from hask.Prelude import in_either
from hask.Prelude import Ordering
from hask.Prelude import LT
from hask.Prelude import EQ
from hask.Prelude import GT
| 22.791304 | 79 | 0.743991 | 370 | 2,621 | 5.237838 | 0.248649 | 0.231166 | 0.232198 | 0.325077 | 0.185759 | 0.083591 | 0.083591 | 0.083591 | 0.083591 | 0 | 0 | 0.00131 | 0.126288 | 2,621 | 114 | 80 | 22.991228 | 0.844978 | 0.183518 | 0 | 0 | 0 | 0 | 0.002369 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.986667 | 0 | 0.986667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
fd95c1288e4a3d105b2bb28178d1177be0f4da9b | 23 | py | Python | src/imageprocessing/text_recognition/__init__.py | shevdan/OCR_DataBases | 8e7c26d45725938447ea890725cbda0b73340d3e | [
"MIT"
] | 2 | 2021-05-17T17:33:43.000Z | 2021-05-17T17:34:40.000Z | src/imageprocessing/text_recognition/__init__.py | shevdan/OCR_DataBases | 8e7c26d45725938447ea890725cbda0b73340d3e | [
"MIT"
] | 1 | 2021-04-28T09:34:35.000Z | 2021-04-28T09:41:47.000Z | src/imageprocessing/text_recognition/__init__.py | shevdan/TextRecognition | 8e7c26d45725938447ea890725cbda0b73340d3e | [
"MIT"
] | null | null | null | from . import ocr_azure | 23 | 23 | 0.826087 | 4 | 23 | 4.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 23 | 1 | 23 | 23 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
fd9cb07c4dc3db3e439dcabebdbc9aa961a7f373 | 215 | py | Python | kirby/__init__.py | minh-adimian/kirby | 04e44d339e3e232f33325430725bceda5e74cd19 | [
"MIT"
] | 6 | 2019-05-06T12:57:43.000Z | 2021-07-17T03:11:21.000Z | kirby/__init__.py | nicksjl-adimian/kirby | b39f1f24412020392ffc3f63086130d9f6aa6260 | [
"MIT"
] | 42 | 2019-05-02T21:01:21.000Z | 2020-02-08T21:37:33.000Z | kirby/__init__.py | nicksjl-adimian/kirby | b39f1f24412020392ffc3f63086130d9f6aa6260 | [
"MIT"
] | 4 | 2019-07-06T08:26:07.000Z | 2019-09-30T09:44:29.000Z | import kirby.api.context as context
import kirby.api.ext as ext
import kirby.api.queue as queue
import kirby.api.testing as testing
import kirby.api.log as log
from kirby.api import ServerError, ClientError, Kirby
| 26.875 | 53 | 0.813953 | 37 | 215 | 4.72973 | 0.324324 | 0.274286 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125581 | 215 | 7 | 54 | 30.714286 | 0.930851 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
fda548a6814053ba71f5b0d1d099c4974b14455f | 1,021 | py | Python | flaskapp/public.py | khanshifaul/NRKF-flaskapp | 835f059068d42b56db1499d8927a601fd7c2e05a | [
"Apache-2.0"
] | null | null | null | flaskapp/public.py | khanshifaul/NRKF-flaskapp | 835f059068d42b56db1499d8927a601fd7c2e05a | [
"Apache-2.0"
] | null | null | null | flaskapp/public.py | khanshifaul/NRKF-flaskapp | 835f059068d42b56db1499d8927a601fd7c2e05a | [
"Apache-2.0"
] | null | null | null | from flaskapp import app
from flask import Blueprint, render_template, redirect, url_for, flash, request
bp = Blueprint('public', __name__, url_prefix='', template_folder='templates/public')
@bp.route('/')
@bp.route('/home')
def index():
return render_template('index.html')
@bp.route('/about')
def about():
return render_template('about.html')
@bp.route('/academic')
def academic():
return render_template('academic.html')
@bp.route('/admission')
def admission():
return render_template('admission.html')
@bp.route('/facilities')
def facilities():
return render_template('facilities.html')
@bp.route('/help')
def help():
return render_template('help.html')
@bp.route('/contact')
def contact():
return render_template('contact.html')
@bp.route('/notices')
def notices():
return render_template('notices.html')
@bp.route('/student')
def student():
return render_template('student.html')
@bp.route('/teacher')
def teacher():
return render_template('teacher.html') | 18.907407 | 85 | 0.700294 | 127 | 1,021 | 5.488189 | 0.267717 | 0.220947 | 0.286944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126347 | 1,021 | 54 | 86 | 18.907407 | 0.78139 | 0 | 0 | 0 | 0 | 0 | 0.215264 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.058824 | 0.294118 | 0.647059 | 0.058824 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
fdad890684e00f79ef2f0ec8b2ba8fb7d2e3ef06 | 141 | py | Python | world/effects/null_effect.py | Catsuko/Westward | 3c04df668f7e04ca45e622017ffa9dfe6d3c242c | [
"MIT"
] | 3 | 2019-12-22T22:44:43.000Z | 2020-02-11T11:14:10.000Z | world/effects/null_effect.py | Catsuko/Westward | 3c04df668f7e04ca45e622017ffa9dfe6d3c242c | [
"MIT"
] | null | null | null | world/effects/null_effect.py | Catsuko/Westward | 3c04df668f7e04ca45e622017ffa9dfe6d3c242c | [
"MIT"
] | null | null | null | class NullEffect:
def affect(self, area):
return area.without_effect(self)
def print_to(self, media):
return media
| 17.625 | 40 | 0.64539 | 18 | 141 | 4.944444 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.269504 | 141 | 7 | 41 | 20.142857 | 0.864078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.4 | 1 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
fdc837ef97fe2a18876b828d24aeea46b4069702 | 58 | py | Python | helper.py | JHerrickII/cs3240-labdemo | 976a97d8991996263baf676f6ca90fc45718da2a | [
"MIT"
] | null | null | null | helper.py | JHerrickII/cs3240-labdemo | 976a97d8991996263baf676f6ca90fc45718da2a | [
"MIT"
] | null | null | null | helper.py | JHerrickII/cs3240-labdemo | 976a97d8991996263baf676f6ca90fc45718da2a | [
"MIT"
] | null | null | null | def greeting(msg):
print(msg)
print("random message") | 14.5 | 23 | 0.689655 | 8 | 58 | 5 | 0.75 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155172 | 58 | 4 | 23 | 14.5 | 0.816327 | 0 | 0 | 0 | 0 | 0 | 0.237288 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0.666667 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
e3040e31520a291defaff16dbdb5039c2da76807 | 107 | py | Python | spira/param/field/typed_color.py | cloudcalvin/spira | 2dcaef188f2bc8c3839e1b5ff0be027e0cd4908c | [
"MIT"
] | null | null | null | spira/param/field/typed_color.py | cloudcalvin/spira | 2dcaef188f2bc8c3839e1b5ff0be027e0cd4908c | [
"MIT"
] | 1 | 2021-10-17T10:18:04.000Z | 2021-10-17T10:18:04.000Z | spira/param/field/typed_color.py | cloudcalvin/spira | 2dcaef188f2bc8c3839e1b5ff0be027e0cd4908c | [
"MIT"
] | null | null | null | from spira.core.descriptor import DataFieldDescriptor
class ColorField(DataFieldDescriptor):
pass
| 11.888889 | 53 | 0.803738 | 10 | 107 | 8.6 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149533 | 107 | 8 | 54 | 13.375 | 0.945055 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 5 |
e3506a778ffba87cb888ad529bdbd8e56755d0fc | 1,828 | py | Python | models/twoD_rnn/config.py | ilcessadecalcular/segmentation | 24ba499a399efdba212ec5e2235b72ed8270cc24 | [
"MIT"
] | null | null | null | models/twoD_rnn/config.py | ilcessadecalcular/segmentation | 24ba499a399efdba212ec5e2235b72ed8270cc24 | [
"MIT"
] | null | null | null | models/twoD_rnn/config.py | ilcessadecalcular/segmentation | 24ba499a399efdba212ec5e2235b72ed8270cc24 | [
"MIT"
] | null | null | null |
# configs for HRNet48
class HRNet48:
FINAL_CONV_KERNEL = 1
class STAGE1:
NUM_MODULES = 1
NUM_BRANCHES = 1
NUM_BLOCKS = [3]
NUM_CHANNELS = [64]
BLOCK = 'BOTTLENECK'
FUSE_METHOD = 'SUM'
class STAGE2:
NUM_MODULES = 1
NUM_BRANCHES = 2
NUM_BLOCKS = [3, 3]
NUM_CHANNELS = [48, 96]
BLOCK = 'BASIC'
FUSE_METHOD = 'SUM'
class STAGE3:
NUM_MODULES = 2
NUM_BRANCHES = 3
NUM_BLOCKS = [3, 3, 3]
NUM_CHANNELS = [48, 96, 192]
BLOCK = 'BASIC'
FUSE_METHOD = 'SUM'
class STAGE4:
NUM_MODULES = 2
NUM_BRANCHES = 4
NUM_BLOCKS = [3, 3, 3, 3]
NUM_CHANNELS = [48, 96, 192, 384]
BLOCK = 'BASIC'
FUSE_METHOD = 'SUM'
class DATASET:
NUM_CLASSES = 1
# configs for HRNet32
class HRNet32:
PRETRAINED = ''
FINAL_CONV_KERNEL = 1
class STAGE1:
NUM_MODULES = 1
NUM_BRANCHES = 1
NUM_BLOCKS = [4]
NUM_CHANNELS = [64]
BLOCK = 'BOTTLENECK'
FUSE_METHOD = 'SUM'
class STAGE2:
NUM_MODULES = 1
NUM_BRANCHES = 2
NUM_BLOCKS = [4, 4]
NUM_CHANNELS = [32, 64]
BLOCK = 'BASIC'
FUSE_METHOD = 'SUM'
class STAGE3:
NUM_MODULES = 4
NUM_BRANCHES = 3
NUM_BLOCKS = [4, 4, 4]
NUM_CHANNELS = [32, 64, 128]
BLOCK = 'BASIC'
FUSE_METHOD = 'SUM'
class STAGE4:
NUM_MODULES = 3
NUM_BRANCHES = 4
NUM_BLOCKS = [4, 4, 4, 4]
NUM_CHANNELS = [32, 64, 128, 256]
BLOCK = 'BASIC'
FUSE_METHOD = 'SUM'
class DATASET:
NUM_CLASSES = 32
| 22.292683 | 42 | 0.484136 | 205 | 1,828 | 4.092683 | 0.185366 | 0.095352 | 0.123957 | 0.171633 | 0.903457 | 0.79857 | 0.758045 | 0.758045 | 0.657926 | 0.340882 | 0 | 0.098848 | 0.429978 | 1,828 | 81 | 43 | 22.567901 | 0.706334 | 0.021335 | 0 | 0.676923 | 0 | 0 | 0.043453 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
e37a6b1177c102760b336feefea726faa205d8fb | 69 | py | Python | ulfy/__init__.py | cdaversin/ulfy | 42dfe51c821acffbccc0df26d7b9549a5cb949eb | [
"MIT"
] | null | null | null | ulfy/__init__.py | cdaversin/ulfy | 42dfe51c821acffbccc0df26d7b9549a5cb949eb | [
"MIT"
] | null | null | null | ulfy/__init__.py | cdaversin/ulfy | 42dfe51c821acffbccc0df26d7b9549a5cb949eb | [
"MIT"
] | null | null | null | from sympy_expr import Expression
from ufl_sympy import ufl_to_sympy
| 23 | 34 | 0.884058 | 12 | 69 | 4.75 | 0.583333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115942 | 69 | 2 | 35 | 34.5 | 0.934426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
8b4d1faf2afcc7ea43cd46c5da179c6e57897a02 | 543 | py | Python | observer/subject.py | Pobux/pattern_conception | a4aa15e910c4ec55abda7c833562a3cc41dcb325 | [
"MIT"
] | null | null | null | observer/subject.py | Pobux/pattern_conception | a4aa15e910c4ec55abda7c833562a3cc41dcb325 | [
"MIT"
] | null | null | null | observer/subject.py | Pobux/pattern_conception | a4aa15e910c4ec55abda7c833562a3cc41dcb325 | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
# Creation Date : 2016-10-21
# Created by : Antoine LeBel
class Subject():
"""
Ceci est une interface
"""
def register_observer(self, observer):
NotImplementedError("La classe %s doit implémenter :".format(self.__class__.__name__))
def remove_observer(self, observer):
NotImplementedError("La classe %s doit implémenter :".format(self.__class__.__name__))
def notify_observer(self):
NotImplementedError("La classe %s doit implémenter :".format(self.__class__.__name__))
| 33.9375 | 94 | 0.692449 | 62 | 543 | 5.629032 | 0.516129 | 0.103152 | 0.232092 | 0.240688 | 0.664756 | 0.664756 | 0.664756 | 0.664756 | 0.664756 | 0.664756 | 0 | 0.02027 | 0.18232 | 543 | 15 | 95 | 36.2 | 0.765766 | 0.180479 | 0 | 0.428571 | 0 | 0 | 0.217799 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.428571 | false | 0 | 0 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
8b725a3122f52f4c3959b8b45629112281e17481 | 165 | py | Python | mundo-3/funcoes-1/ex097.py | fln99/curso-python | 23176a65cec6d2e1e114ac7ff500d6b0dac95630 | [
"MIT"
] | null | null | null | mundo-3/funcoes-1/ex097.py | fln99/curso-python | 23176a65cec6d2e1e114ac7ff500d6b0dac95630 | [
"MIT"
] | null | null | null | mundo-3/funcoes-1/ex097.py | fln99/curso-python | 23176a65cec6d2e1e114ac7ff500d6b0dac95630 | [
"MIT"
] | null | null | null | def escreva(txt):
tam_txt = len(txt)
print('-' * tam_txt)
print(txt)
print('-' * tam_txt)
escreva(' Olá, Mundo! ')
escreva(' Meu nome é Felipe :D ') | 20.625 | 33 | 0.575758 | 24 | 165 | 3.833333 | 0.541667 | 0.195652 | 0.23913 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.236364 | 165 | 8 | 33 | 20.625 | 0.730159 | 0 | 0 | 0.285714 | 0 | 0 | 0.222892 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.142857 | 0.428571 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
8b8e9c836ce4ed2997bf77106459da19d4aaa21b | 8,664 | py | Python | tests/test_pyeshandler.py | mkhadher/python-elasticsearch-logger | 435734b0b84a39f6df21ea4fd2394cfc8848cf35 | [
"Apache-2.0"
] | null | null | null | tests/test_pyeshandler.py | mkhadher/python-elasticsearch-logger | 435734b0b84a39f6df21ea4fd2394cfc8848cf35 | [
"Apache-2.0"
] | null | null | null | tests/test_pyeshandler.py | mkhadher/python-elasticsearch-logger | 435734b0b84a39f6df21ea4fd2394cfc8848cf35 | [
"Apache-2.0"
] | null | null | null | import unittest
import logging
import time
import os
import sys
sys.path.insert(0, os.path.abspath('.'))
from pyeslogging.handlers import PYESHandler
class PYESHandlerTestCase(unittest.TestCase):
DEFAULT_ES_SERVER = 'localhost'
DEFAULT_ES_PORT = 9200
def getESHost(self):
return os.getenv('TEST_ES_SERVER',PYESHandlerTestCase.DEFAULT_ES_SERVER)
def getESPort(self):
try:
return int(os.getenv('TEST_ES_PORT',PYESHandlerTestCase.DEFAULT_ES_PORT))
except ValueError:
return PYESHandlerTestCase.DEFAULT_ES_PORT
def setUp(self):
self.log = logging.getLogger("MyTestCase")
test_handler = logging.StreamHandler(stream=sys.stderr)
self.log.addHandler(test_handler)
def tearDown(self):
del self.log
def test_ping(self):
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
es_index_name="pythontest",
use_ssl=False,
raise_on_indexing_exceptions=True)
es_test_server_is_up = handler.test_es_source()
self.assertEqual(True, es_test_server_is_up)
def test_buffered_log_insertion_flushed_when_buffer_full(self):
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
use_ssl=False,
buffer_size=2,
flush_frequency_in_sec=1000,
es_index_name="pythontest",
es_additional_fields={'App': 'Test', 'Environment': 'Dev'},
raise_on_indexing_exceptions=True)
es_test_server_is_up = handler.test_es_source()
self.log.info("ES services status is: {0!s}".format(es_test_server_is_up))
self.assertEqual(True, es_test_server_is_up)
log = logging.getLogger("PythonTest")
log.setLevel(logging.DEBUG)
log.addHandler(handler)
log.warning("First Message")
log.info("Seccond Message")
self.assertEqual(0, len(handler._buffer))
handler.close()
def test_es_log_extra_argument_insertion(self):
self.log.info("About to test elasticsearch insertion")
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
use_ssl=False,
es_index_name="pythontest",
es_additional_fields={'App': 'Test', 'Environment': 'Dev'},
raise_on_indexing_exceptions=True)
es_test_server_is_up = handler.test_es_source()
self.log.info("ES services status is: {0!s}".format(es_test_server_is_up))
self.assertEqual(True, es_test_server_is_up)
log = logging.getLogger("PythonTest")
log.addHandler(handler)
log.warning("Extra arguments Message", extra={"Arg1": 300, "Arg2": 400})
self.assertEqual(1, len(handler._buffer))
self.assertEqual(handler._buffer[0]['Arg1'], 300)
self.assertEqual(handler._buffer[0]['Arg2'], 400)
self.assertEqual(handler._buffer[0]['App'], 'Test')
self.assertEqual(handler._buffer[0]['Environment'], 'Dev')
handler.flush()
self.assertEqual(0, len(handler._buffer))
def test_buffered_log_insertion_after_interval_expired(self):
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
use_ssl=False,
flush_frequency_in_sec=0.1,
es_index_name="pythontest",
es_additional_fields={'App': 'Test', 'Environment': 'Dev'},
raise_on_indexing_exceptions=True)
es_test_server_is_up = handler.test_es_source()
self.log.info("ES services status is: {0!s}".format(es_test_server_is_up))
self.assertEqual(True, es_test_server_is_up)
log = logging.getLogger("PythonTest")
log.addHandler(handler)
log.warning("Extra arguments Message", extra={"Arg1": 300, "Arg2": 400})
self.assertEqual(1, len(handler._buffer))
self.assertEqual(handler._buffer[0]['Arg1'], 300)
self.assertEqual(handler._buffer[0]['Arg2'], 400)
self.assertEqual(handler._buffer[0]['App'], 'Test')
self.assertEqual(handler._buffer[0]['Environment'], 'Dev')
time.sleep(1)
self.assertEqual(0, len(handler._buffer))
def test_fast_insertion_of_hundred_logs(self):
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
use_ssl=False,
buffer_size=500,
flush_frequency_in_sec=0.5,
es_index_name="pythontest",
raise_on_indexing_exceptions=True)
log = logging.getLogger("PythonTest")
log.setLevel(logging.DEBUG)
log.addHandler(handler)
for i in range(100):
log.info("Logging line {0:d}".format(i), extra={'LineNum': i})
handler.flush()
self.assertEqual(0, len(handler._buffer))
def test_index_name_frequency_functions(self):
index_name = "pythontest"
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
es_index_name=index_name,
use_ssl=False,
index_name_frequency=PYESHandler.IndexNameFrequency.DAILY,
raise_on_indexing_exceptions=True)
self.assertEqual(
handler._index_name_func.__func__(index_name),
PYESHandler._get_daily_index_name(index_name)
)
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
es_index_name=index_name,
use_ssl=False,
index_name_frequency=PYESHandler.IndexNameFrequency.WEEKLY,
raise_on_indexing_exceptions=True)
self.assertEqual(
handler._index_name_func.__func__(index_name),
PYESHandler._get_weekly_index_name(index_name)
)
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
es_index_name=index_name,
use_ssl=False,
index_name_frequency=PYESHandler.IndexNameFrequency.MONTHLY,
raise_on_indexing_exceptions=True)
self.assertEqual(
handler._index_name_func.__func__(index_name),
PYESHandler._get_monthly_index_name(index_name)
)
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
es_index_name=index_name,
use_ssl=False,
index_name_frequency=PYESHandler.IndexNameFrequency.YEARLY,
raise_on_indexing_exceptions=True)
self.assertEqual(
handler._index_name_func.__func__(index_name),
PYESHandler._get_yearly_index_name(index_name)
)
handler = PYESHandler(hosts=[{'host': self.getESHost(), 'port': self.getESPort()}],
auth_type=PYESHandler.AuthType.NO_AUTH,
es_index_name=index_name,
use_ssl=False,
index_name_frequency=PYESHandler.IndexNameFrequency.NEVER,
raise_on_indexing_exceptions=True)
self.assertEqual(
handler._index_name_func.__func__(index_name),
PYESHandler._get_never_index_name(index_name)
)
if __name__ == '__main__':
unittest.main()
| 46.580645 | 91 | 0.575716 | 880 | 8,664 | 5.331818 | 0.155682 | 0.080563 | 0.060955 | 0.032822 | 0.77792 | 0.751066 | 0.744246 | 0.744246 | 0.729327 | 0.729327 | 0 | 0.012089 | 0.322138 | 8,664 | 185 | 92 | 46.832432 | 0.786821 | 0 | 0 | 0.63354 | 0 | 0 | 0.06856 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.062112 | false | 0 | 0.037267 | 0.006211 | 0.136646 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
8b9e5d04f67522388156257d42e7343b0e336ca0 | 38 | py | Python | bbpyp/common/exception/bbpyp_warning.py | BloggerBust/bbpyp | 078f940dd38bc3ee7c5adcfb2555c2843a4ca57b | [
"Apache-2.0"
] | null | null | null | bbpyp/common/exception/bbpyp_warning.py | BloggerBust/bbpyp | 078f940dd38bc3ee7c5adcfb2555c2843a4ca57b | [
"Apache-2.0"
] | null | null | null | bbpyp/common/exception/bbpyp_warning.py | BloggerBust/bbpyp | 078f940dd38bc3ee7c5adcfb2555c2843a4ca57b | [
"Apache-2.0"
] | null | null | null | class BbpypWarning(Warning):
pass
| 12.666667 | 28 | 0.736842 | 4 | 38 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.184211 | 38 | 2 | 29 | 19 | 0.903226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
475ad6b329d0ebf775dc99386bf6e398ecf293e7 | 152 | py | Python | lib/torch/__init__.py | nbren12/nn_atmos_param | cb138f0b211fd5743e56ad659aec38c082d2b3ac | [
"MIT"
] | 4 | 2018-09-16T20:55:57.000Z | 2020-12-06T11:27:50.000Z | lib/torch/__init__.py | nbren12/nn_atmos_param | cb138f0b211fd5743e56ad659aec38c082d2b3ac | [
"MIT"
] | 5 | 2018-04-07T07:40:39.000Z | 2018-06-20T06:56:08.000Z | lib/torch/__init__.py | nbren12/nn_atmos_param | cb138f0b211fd5743e56ad659aec38c082d2b3ac | [
"MIT"
] | null | null | null | from .training import train_multistep_objective
from .interface import wrap, column_run
from .model import ForcedStepper
from .data import TrainingData
| 30.4 | 47 | 0.855263 | 20 | 152 | 6.35 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111842 | 152 | 4 | 48 | 38 | 0.940741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
4790ea9fbf041f01353bb1569fd4b48dfc2d9f57 | 883 | py | Python | python/test_2019_10_2.py | wensby/advent-of-code | 50cd7fa2d35674d868a79ac8c75be24a43267e2b | [
"MIT"
] | null | null | null | python/test_2019_10_2.py | wensby/advent-of-code | 50cd7fa2d35674d868a79ac8c75be24a43267e2b | [
"MIT"
] | null | null | null | python/test_2019_10_2.py | wensby/advent-of-code | 50cd7fa2d35674d868a79ac8c75be24a43267e2b | [
"MIT"
] | null | null | null | import importlib
import unittest
solution = importlib.import_module('2019_10_2')
class Test2019Day10Part2(unittest.TestCase):
def test_example1(self):
input = (
'.#..##.###...#######\n'
'##.############..##.\n'
'.#.######.########.#\n'
'.###.#######.####.#.\n'
'#####.##.#.##.###.##\n'
'..#####..#.#########\n'
'####################\n'
'#.####....###.#.#.##\n'
'##.#################\n'
'#####.##.###..####..\n'
'..######..##.#######\n'
'####.##.####...##..#\n'
'.#####..#.######.###\n'
'##...#.##########...\n'
'#.##########.#######\n'
'.####.#.###.###.#.##\n'
'....##.##.###..#####\n'
'.#.#.###########.###\n'
'#.#.#.#####.####.###\n'
'###.##.####.##.#..##\n'
)
self.assertEqual(solution.run(input), 802)
| 27.59375 | 47 | 0.210646 | 46 | 883 | 3.956522 | 0.434783 | 0.208791 | 0.296703 | 0.373626 | 0.10989 | 0.10989 | 0.10989 | 0.10989 | 0.10989 | 0.10989 | 0 | 0.026906 | 0.242356 | 883 | 31 | 48 | 28.483871 | 0.245142 | 0 | 0 | 0 | 0 | 0 | 0.508494 | 0.498301 | 0 | 0 | 0 | 0 | 0.035714 | 1 | 0.035714 | false | 0 | 0.107143 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
4797ea41f48b652355a6e6566b2e0ac246ca1f93 | 28 | py | Python | pyspan/__init__.py | sabjoslo/talking-politics | f35799c0a53ef5f1bd585fcd48c824f5edad74f1 | [
"CC-BY-4.0"
] | null | null | null | pyspan/__init__.py | sabjoslo/talking-politics | f35799c0a53ef5f1bd585fcd48c824f5edad74f1 | [
"CC-BY-4.0"
] | 1 | 2022-01-22T00:28:38.000Z | 2022-01-22T00:28:38.000Z | pyspan/__init__.py | sabjoslo/talking-politics | f35799c0a53ef5f1bd585fcd48c824f5edad74f1 | [
"CC-BY-4.0"
] | null | null | null | from pyspan.config import *
| 14 | 27 | 0.785714 | 4 | 28 | 5.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 28 | 1 | 28 | 28 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
47bafdef9e7525a6a84f40e5d865a296aba2584f | 70 | py | Python | Evaluator.py | Archulan/unified-intrinsic-evaluation-tool-for-word-embeddings | 92c3abe309c3f1c19f482b0933aa832d9306afbd | [
"MIT"
] | null | null | null | Evaluator.py | Archulan/unified-intrinsic-evaluation-tool-for-word-embeddings | 92c3abe309c3f1c19f482b0933aa832d9306afbd | [
"MIT"
] | null | null | null | Evaluator.py | Archulan/unified-intrinsic-evaluation-tool-for-word-embeddings | 92c3abe309c3f1c19f482b0933aa832d9306afbd | [
"MIT"
] | null | null | null | class Evaluator():
def process(self, vectors: dict):
pass
| 17.5 | 37 | 0.614286 | 8 | 70 | 5.375 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.271429 | 70 | 3 | 38 | 23.333333 | 0.843137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.333333 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
47c2beb9ba76dd466d93aa1c01b922fa8c0563cb | 196 | py | Python | pythonprog/code/12/12.2/sample.py | davidyshuang/python3 | 5200638f6c4450998d97a9ac24bcba0872786fb2 | [
"Unlicense"
] | null | null | null | pythonprog/code/12/12.2/sample.py | davidyshuang/python3 | 5200638f6c4450998d97a9ac24bcba0872786fb2 | [
"Unlicense"
] | null | null | null | pythonprog/code/12/12.2/sample.py | davidyshuang/python3 | 5200638f6c4450998d97a9ac24bcba0872786fb2 | [
"Unlicense"
] | null | null | null | # sample.py
from logcall import logged
@logged
def add(x, y):
'''
Adds x and y
'''
return x + y
@logged
def sub(x, y):
return x - y
@logged
def mul(x, y):
return x * y
| 10.315789 | 26 | 0.540816 | 34 | 196 | 3.117647 | 0.441176 | 0.113208 | 0.226415 | 0.254717 | 0.443396 | 0.339623 | 0 | 0 | 0 | 0 | 0 | 0 | 0.326531 | 196 | 18 | 27 | 10.888889 | 0.80303 | 0.117347 | 0 | 0.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.1 | 0.2 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
47ca16994cc457c2b367b8a89c61742857e681ac | 57 | py | Python | demo2_ws/devel/.private/pal_person_detector_opencv/lib/python2.7/dist-packages/pal_person_detector_opencv/msg/__init__.py | AshfakYeafi/ros | 7895302251088b7945e359f60a9c617e5170a72e | [
"MIT"
] | null | null | null | demo2_ws/devel/.private/pal_person_detector_opencv/lib/python2.7/dist-packages/pal_person_detector_opencv/msg/__init__.py | AshfakYeafi/ros | 7895302251088b7945e359f60a9c617e5170a72e | [
"MIT"
] | null | null | null | demo2_ws/devel/.private/pal_person_detector_opencv/lib/python2.7/dist-packages/pal_person_detector_opencv/msg/__init__.py | AshfakYeafi/ros | 7895302251088b7945e359f60a9c617e5170a72e | [
"MIT"
] | null | null | null | from ._Detection2d import *
from ._Detections2d import *
| 19 | 28 | 0.789474 | 6 | 57 | 7.166667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040816 | 0.140351 | 57 | 2 | 29 | 28.5 | 0.836735 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
47d1e3113c2fd6d9bf96fb59d9040fb8dd88070a | 97 | py | Python | admin.py | ralphleyga/track-active-users | f068c386f820f1635afd7050ace7a8a30895e21f | [
"MIT"
] | null | null | null | admin.py | ralphleyga/track-active-users | f068c386f820f1635afd7050ace7a8a30895e21f | [
"MIT"
] | null | null | null | admin.py | ralphleyga/track-active-users | f068c386f820f1635afd7050ace7a8a30895e21f | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import ActiveUser
admin.site.register(ActiveUser) | 19.4 | 32 | 0.835052 | 13 | 97 | 6.230769 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103093 | 97 | 5 | 33 | 19.4 | 0.931034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
47f072426213deea3864b1976f563ff42007a717 | 28 | py | Python | GLM/source/plugins/__init__.py | tomsimonart/LMPM | 4b4f307a9e0089714068eebbebab063ec02ff42f | [
"MIT"
] | 1 | 2018-02-20T10:40:53.000Z | 2018-02-20T10:40:53.000Z | GLM/source/plugins/__init__.py | tomsimonart/LMPM | 4b4f307a9e0089714068eebbebab063ec02ff42f | [
"MIT"
] | null | null | null | GLM/source/plugins/__init__.py | tomsimonart/LMPM | 4b4f307a9e0089714068eebbebab063ec02ff42f | [
"MIT"
] | null | null | null | # __all__ = ['clock_plugin'] | 28 | 28 | 0.678571 | 3 | 28 | 4.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 28 | 1 | 28 | 28 | 0.56 | 0.928571 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
9a470ac92f72140dacfb94073d73abcb846e6da5 | 665 | py | Python | ARMODServers/Apps/Index/views.py | Phantomxm2021/ARMOD-Dashboard | 383cf0a5e72dc5a2651f43e693f06773d5b88bbd | [
"Apache-2.0"
] | 1 | 2021-11-04T09:03:27.000Z | 2021-11-04T09:03:27.000Z | ARMODServers/Apps/Index/views.py | Phantomxm2021/ARMOD-Dashboard | 383cf0a5e72dc5a2651f43e693f06773d5b88bbd | [
"Apache-2.0"
] | null | null | null | ARMODServers/Apps/Index/views.py | Phantomxm2021/ARMOD-Dashboard | 383cf0a5e72dc5a2651f43e693f06773d5b88bbd | [
"Apache-2.0"
] | null | null | null | from django.conf import settings
from django.shortcuts import render
from django.http import JsonResponse
from django.views.generic import View
from Apps.Index.models import IndexPageViewKeyBenfitsModel
# Create your views here.
class DashboardIndexView(View):
def get(self,request):
return render(request,'index/static_index.html')
# return render(request,'index/index_test.html')
class DashboardZhHansPrivacyView(View):
def get(self,request):
return render(request,'index/static_ZhHansprivacy.html')
class DashboardEnUsPrivacyView(View):
def get(self,request):
return render(request,'index/static_EnUsprivacy.html') | 33.25 | 64 | 0.771429 | 80 | 665 | 6.3625 | 0.4125 | 0.078585 | 0.149312 | 0.188605 | 0.300589 | 0.300589 | 0.300589 | 0.300589 | 0.300589 | 0.300589 | 0 | 0 | 0.13985 | 665 | 20 | 65 | 33.25 | 0.88986 | 0.105263 | 0 | 0.214286 | 0 | 0 | 0.139966 | 0.139966 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.357143 | 0.214286 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 5 |
7bd99cffd0664c540986d5de56bb4cf5f69a6047 | 272 | py | Python | src/wai/annotations/coco/configuration/_Category.py | waikato-ufdl/wai-annotations-coco | 50d92e5e2d84a0a245a02e2003273fe847d73424 | [
"Apache-2.0"
] | null | null | null | src/wai/annotations/coco/configuration/_Category.py | waikato-ufdl/wai-annotations-coco | 50d92e5e2d84a0a245a02e2003273fe847d73424 | [
"Apache-2.0"
] | null | null | null | src/wai/annotations/coco/configuration/_Category.py | waikato-ufdl/wai-annotations-coco | 50d92e5e2d84a0a245a02e2003273fe847d73424 | [
"Apache-2.0"
] | null | null | null | from wai.json.object import JSONObject
from wai.json.object.property import NumberProperty, StringProperty
class Category(JSONObject["Category"]):
id: int = NumberProperty(integer_only=True)
name: str = StringProperty()
supercategory: str = StringProperty()
| 30.222222 | 67 | 0.768382 | 30 | 272 | 6.933333 | 0.633333 | 0.067308 | 0.105769 | 0.163462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136029 | 272 | 8 | 68 | 34 | 0.885106 | 0 | 0 | 0 | 0 | 0 | 0.029412 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
d0057dfa28068e4769be9060f3afe877b8f16336 | 639 | py | Python | resourceScripts/randomCat.py | Shad0w7/Cinderpaw-Bot | 2c1d150af16763c372132c4e98dcfebf0d90bba2 | [
"MIT"
] | 1 | 2021-02-13T23:29:17.000Z | 2021-02-13T23:29:17.000Z | resourceScripts/randomCat.py | Shad0wSeven/Cinderpaw-Bot | 2c1d150af16763c372132c4e98dcfebf0d90bba2 | [
"MIT"
] | 1 | 2020-05-16T23:56:12.000Z | 2020-05-17T23:23:19.000Z | resourceScripts/randomCat.py | Shad0wSeven/Cinderpaw-Bot | 2c1d150af16763c372132c4e98dcfebf0d90bba2 | [
"MIT"
] | null | null | null | # randomCat.py
#! DEPRECATED
# Performing google search using Python code
# class Gsearch_python:
# def __init__(self,name_search):
# self.name = name_search
# def Gsearch(self):
# count = 0
# try :
# from googlesearch import search
# except ImportError:
# print("No Module named 'google' Found")
# for i in search(query=self.name,tld='co.in',lang='en',num=10,stop=1,pause=2):
# count += 1
# print (count)
# print(i + '\n')
# if __name__=='__main__':
# gs = Gsearch_python("Cat")
# gs.Gsearch()
def randomCat():
return "Still Under Development!"
| 26.625 | 85 | 0.596244 | 79 | 639 | 4.620253 | 0.64557 | 0.065753 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012766 | 0.264476 | 639 | 23 | 86 | 27.782609 | 0.76383 | 0.849765 | 0 | 0 | 0 | 0 | 0.315789 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
d02092d9ee1ef513a50ea32475de20070f7ea771 | 5,824 | py | Python | apps/restApi/app/worker/command/commandController.py | JaeYoung1994/Integrated-solution-management-admin-web | 481cfa2bc206db9bd7ff3b534eba64f148dda2d4 | [
"MIT"
] | 1 | 2021-03-31T01:46:28.000Z | 2021-03-31T01:46:28.000Z | apps/restApi/app/worker/command/commandController.py | JaeYoung1994/Integrated-solution-management-admin-web | 481cfa2bc206db9bd7ff3b534eba64f148dda2d4 | [
"MIT"
] | null | null | null | apps/restApi/app/worker/command/commandController.py | JaeYoung1994/Integrated-solution-management-admin-web | 481cfa2bc206db9bd7ff3b534eba64f148dda2d4 | [
"MIT"
] | null | null | null | import copy
import json
from flask import request
from flask_restx import Resource, Namespace, fields
from model.redis.worker.command.commandRedis import CommandRedis
from model.redis.worker.client.clientRedis import ClientRedis
from common.utils import Utils
from common.code import ReqCode, CommonCode
ra_worker_command = Namespace(
name='worker_command',
description='Worker to Command API'
)
@ra_worker_command.route('/register')
class worker_command_register(Resource):
# chk_email request json Model
chk_email_fields = ra_worker_command.model("worker_command_register_email", {
"token": fields.String(description="Access Token Value", required=True, example="Token value issued")
})
# chk_email response success Model
chk_email_result = ra_worker_command.model("worker_command_register_success", {
"result": fields.String(description="result boolean", required=True, example=True),
"code": fields.String(description="result Code", required=True, example="Error Code"),
"msg": fields.String(description="result message", required=True, example="Error message")
})
@ra_worker_command.response(200, "Success", chk_email_result)
@ra_worker_command.response(400, "Fail", chk_email_result)
@ra_worker_command.expect(chk_email_fields)
def post(self):
""" Check for duplicate emails in API """
code = 200
try:
req = request.json
# Checking the existence of email in DB (MariaDB)
rvKey = ['token']
isKey, isVal = Utils.isDicHasKey(req, rvKey), Utils.isDicKeyValueNull(req, rvKey)
if not isKey:
return ReqCode.notKey.value, 400
if not isVal:
return ReqCode.keyValNull.value, 400
ip = request.environ
if 'HTTP_X_FORWARDED_FOR' in request.environ:
a = request.environ['HTTP_X_FORWARDED_FOR']
ip = request.environ['HTTP_X_FORWARDED_FOR'].split(',')[0]
if 'REMOTE_ADDR' in request.environ:
ip = request.list_storage_class([request.environ['REMOTE_ADDR']])[0]
commandRedis = CommandRedis()
commandRedis.registCommand(ip, req["token"])
rv = CommonCode.Success.value
except Exception as ex:
rv = copy.deepcopy(CommonCode.UnknownError.value)
rv["msg"] = str(ex)
code = 400
return rv, code # ,header{"hi": "hello"}
@ra_worker_command.route('/delete')
class worker_command_delete(Resource):
# chk_email request json Model
chk_email_fields = ra_worker_command.model("worker_command_register_email", {
"token": fields.String(description="Access Token Value", required=True, example="Token value issued")
})
# chk_email response success Model
chk_email_result = ra_worker_command.model("worker_command_register_success", {
"result": fields.String(description="result boolean", required=True, example=True),
"code": fields.String(description="result Code", required=True, example="Error Code"),
"msg": fields.String(description="result message", required=True, example="Error message")
})
@ra_worker_command.response(200, "Success", chk_email_result)
@ra_worker_command.response(400, "Fail", chk_email_result)
@ra_worker_command.expect(chk_email_fields)
def post(self):
""" Check for duplicate emails in API """
code = 200
try:
req = request.json
# Checking the existence of email in DB (MariaDB)
rvKey = ['ip']
isKey, isVal = Utils.isDicHasKey(req, rvKey), Utils.isDicKeyValueNull(req, rvKey)
if not isKey:
return ReqCode.notKey.value, 400
if not isVal:
return ReqCode.keyValNull.value, 400
commandRedis = CommandRedis()
for ip in req['ip']:
commandRedis.deleteCommand(ip)
clientRedis = ClientRedis
clients = ClientRedis.getClient()
for client in clients:
if clients[client] in req['ip']:
clientRedis.deleteClient(client)
rv = CommonCode.Success.value
except Exception as ex:
rv = copy.deepcopy(CommonCode.UnknownError.value)
rv["msg"] = str(ex)
code = 400
return rv, code # ,header{"hi": "hello"}
@ra_worker_command.route('/list')
class worker_command_list(Resource):
# chk_email request json Model
chk_email_fields = ra_worker_command.model("worker_command_register_email", {
"token": fields.String(description="Access Token Value", required=True, example="Token value issued")
})
# chk_email response success Model
chk_email_result = ra_worker_command.model("worker_command_register_success", {
"result": fields.String(description="result boolean", required=True, example=True),
"code": fields.String(description="result Code", required=True, example="Error Code"),
"msg": fields.String(description="result message", required=True, example="Error message")
})
@ra_worker_command.response(200, "Success", chk_email_result)
@ra_worker_command.response(400, "Fail", chk_email_result)
@ra_worker_command.expect(chk_email_fields)
def post(self):
""" Check for duplicate emails in API """
code = 200
try:
req = request.json
commandRedis = CommandRedis()
data = commandRedis.getRegistCommand()
rv = {"result":True, "data":data }
except Exception as ex:
rv = copy.deepcopy(CommonCode.UnknownError.value)
rv["msg"] = str(ex)
code = 400
return rv, code # ,header{"hi": "hello"}
| 42.202899 | 109 | 0.650584 | 669 | 5,824 | 5.494768 | 0.161435 | 0.106094 | 0.07753 | 0.039173 | 0.755169 | 0.755169 | 0.738303 | 0.738303 | 0.738303 | 0.738303 | 0 | 0.011328 | 0.242102 | 5,824 | 137 | 110 | 42.510949 | 0.821477 | 0.078297 | 0 | 0.675676 | 0 | 0 | 0.137718 | 0.033727 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.072072 | 0 | 0.243243 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
d02bcbb7e0a6dfd701f09713bd11e27f5a6ad35c | 122 | py | Python | aiovalidator/fields/__init__.py | vir-mir/aiovalidator | e800ac735a5c9c98e4b3469ff9a0f05d0e3b33c7 | [
"Apache-2.0"
] | 7 | 2016-12-06T19:30:11.000Z | 2019-04-11T19:35:11.000Z | aiovalidator/fields/__init__.py | vir-mir/aiovalidator | e800ac735a5c9c98e4b3469ff9a0f05d0e3b33c7 | [
"Apache-2.0"
] | 219 | 2016-12-06T17:08:09.000Z | 2022-03-28T10:50:18.000Z | aiovalidator/fields/__init__.py | vir-mir/aiovalidator | e800ac735a5c9c98e4b3469ff9a0f05d0e3b33c7 | [
"Apache-2.0"
] | 2 | 2017-01-02T13:07:42.000Z | 2017-01-23T18:10:05.000Z | from .date import *
from .number import *
from .string import *
__all__ = number.__all__ + date.__all__ + string.__all__
| 20.333333 | 56 | 0.737705 | 16 | 122 | 4.625 | 0.375 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.163934 | 122 | 5 | 57 | 24.4 | 0.72549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
d03f5a90fceea3373d0604e209dd43b7083c338b | 117 | py | Python | qiang12_instance2/q10_Numpy.py | 13528770807/practice | d2dbb7828f3689f359b6b25c4abb5712a145230a | [
"MIT"
] | null | null | null | qiang12_instance2/q10_Numpy.py | 13528770807/practice | d2dbb7828f3689f359b6b25c4abb5712a145230a | [
"MIT"
] | null | null | null | qiang12_instance2/q10_Numpy.py | 13528770807/practice | d2dbb7828f3689f359b6b25c4abb5712a145230a | [
"MIT"
] | null | null | null | # import numpy as np
#
#
# arr = np.array([1, 2, 4, 5, 6, 3]) # py2
# print(arr.argsort()[-3:][::-1]) # [ 4 3 1 ]
| 16.714286 | 46 | 0.461538 | 22 | 117 | 2.454545 | 0.681818 | 0.074074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136364 | 0.247863 | 117 | 6 | 47 | 19.5 | 0.477273 | 0.880342 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
d06cbfb1cbbf62a762cef7ee8bd3100e8c0bdd97 | 774 | py | Python | tsdl/tools/__init__.py | burgerdev/hostload | 93142628bb32923c5e6f3a8b791488d72a5c9077 | [
"MIT"
] | null | null | null | tsdl/tools/__init__.py | burgerdev/hostload | 93142628bb32923c5e6f3a8b791488d72a5c9077 | [
"MIT"
] | null | null | null | tsdl/tools/__init__.py | burgerdev/hostload | 93142628bb32923c5e6f3a8b791488d72a5c9077 | [
"MIT"
] | null | null | null | """
Various tools that did not fit anywhere else.
"""
from .abcs import Buildable
from .abcs import build_operator
from .config import expand_dict
from .config import listify_dict
from .prediction import Classification
from .prediction import Regression
from .prediction import IncompatibleTargets
from .generic import IncompatibleDataset
from .lazyflow_adapters import Operator
from .lazyflow_adapters import InputSlot
from .lazyflow_adapters import OutputSlot
from .lazyflow_adapters import Graph
from .lazyflow_adapters import SubRegion
from .lazyflow_adapters import OpReorderAxes
from .lazyflow_adapters import OpStreamingHdf5Reader
from .lazyflow_adapters import OpArrayPiper
from .lazyflow_adapters import OpArrayPiperWithAccessCount
from .other import get_rng
| 27.642857 | 58 | 0.854005 | 93 | 774 | 6.967742 | 0.397849 | 0.166667 | 0.277778 | 0.361111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001458 | 0.113695 | 774 | 27 | 59 | 28.666667 | 0.943149 | 0.05814 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
d079c1cf462cf29833d8273805cec55234ecac43 | 46 | py | Python | ex1.py | liggettla/python | 4bdad72bc2143679be6d1f8722b83cc359753ca9 | [
"MIT"
] | null | null | null | ex1.py | liggettla/python | 4bdad72bc2143679be6d1f8722b83cc359753ca9 | [
"MIT"
] | null | null | null | ex1.py | liggettla/python | 4bdad72bc2143679be6d1f8722b83cc359753ca9 | [
"MIT"
] | null | null | null | #!/usr/bin/ python
#print 1.0/3
print 'hello'
| 11.5 | 18 | 0.652174 | 9 | 46 | 3.333333 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075 | 0.130435 | 46 | 3 | 19 | 15.333333 | 0.675 | 0.608696 | 0 | 0 | 0 | 0 | 0.3125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
d080ac2680c63423421c454347a05856469b30b0 | 107 | py | Python | malaya_speech/train/model/hubert/__init__.py | ishine/malaya-speech | fd34afc7107af1656dff4b3201fa51dda54fde18 | [
"MIT"
] | 111 | 2020-08-31T04:58:54.000Z | 2022-03-29T15:44:18.000Z | malaya_speech/train/model/hubert/__init__.py | ishine/malaya-speech | fd34afc7107af1656dff4b3201fa51dda54fde18 | [
"MIT"
] | 14 | 2020-12-16T07:27:22.000Z | 2022-03-15T17:39:01.000Z | malaya_speech/train/model/hubert/__init__.py | ishine/malaya-speech | fd34afc7107af1656dff4b3201fa51dda54fde18 | [
"MIT"
] | 29 | 2021-02-09T08:57:15.000Z | 2022-03-12T14:09:19.000Z | from .config import HuBERTConfig
from .kmeans import ApplyKmeans_TF, get_km_model
from .model import Model
| 26.75 | 48 | 0.841121 | 16 | 107 | 5.4375 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121495 | 107 | 3 | 49 | 35.666667 | 0.925532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
d08aa5c1cc70617212cad92b430a06daee56c492 | 171 | py | Python | Grupo1_encriptacionCesar/leerMensaje.py | IEEERASDigitalesJaveriana/encriptacion_Cesar_Git | f0f55f97448186b814d0e8567d2f432e0eeed563 | [
"CC0-1.0"
] | null | null | null | Grupo1_encriptacionCesar/leerMensaje.py | IEEERASDigitalesJaveriana/encriptacion_Cesar_Git | f0f55f97448186b814d0e8567d2f432e0eeed563 | [
"CC0-1.0"
] | null | null | null | Grupo1_encriptacionCesar/leerMensaje.py | IEEERASDigitalesJaveriana/encriptacion_Cesar_Git | f0f55f97448186b814d0e8567d2f432e0eeed563 | [
"CC0-1.0"
] | null | null | null | #función para leer el mensaje a encriptar del usuario
def leer_mensaje(): # funcion 1
var= input("Ingrese el mensaje:")
return var# devuelva el mensaje ingresado
| 34.2 | 53 | 0.736842 | 25 | 171 | 5 | 0.72 | 0.216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007246 | 0.192982 | 171 | 4 | 54 | 42.75 | 0.898551 | 0.538012 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
d0c92854f7bae630b8a2aaf4b50a4501ffe9eff1 | 99 | py | Python | Iniciante/3055 - Nota Esquecida.py | PedroTejon/Beecrowd-Online-Judge-URI- | 5d681ff1b4db452cb45e4013c8570f83824e34c2 | [
"MIT"
] | 2 | 2021-12-14T01:40:54.000Z | 2021-12-24T22:33:22.000Z | Iniciante/3055 - Nota Esquecida.py | PedroTejon/Beecrowd-Online-Judge-URI | 5d681ff1b4db452cb45e4013c8570f83824e34c2 | [
"MIT"
] | null | null | null | Iniciante/3055 - Nota Esquecida.py | PedroTejon/Beecrowd-Online-Judge-URI | 5d681ff1b4db452cb45e4013c8570f83824e34c2 | [
"MIT"
] | null | null | null | n1 = int(input())
n2 = int(input())
if 0 <= n1 <= 100 and 0 <= n2 <= 100:
print((n2 * 2) - n1)
| 19.8 | 37 | 0.474747 | 18 | 99 | 2.611111 | 0.555556 | 0.340426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.208333 | 0.272727 | 99 | 4 | 38 | 24.75 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
d0eef1c577b44cd7a1d28b20034e434e7eacfca4 | 192 | py | Python | vnpy_uf/__init__.py | noranhe/vnpy_ufx | f1073ee7eaa3ad54688e9914ba7400fa0740de8b | [
"MIT"
] | null | null | null | vnpy_uf/__init__.py | noranhe/vnpy_ufx | f1073ee7eaa3ad54688e9914ba7400fa0740de8b | [
"MIT"
] | null | null | null | vnpy_uf/__init__.py | noranhe/vnpy_ufx | f1073ee7eaa3ad54688e9914ba7400fa0740de8b | [
"MIT"
] | 2 | 2021-12-09T08:29:47.000Z | 2022-03-30T02:48:05.000Z | import importlib_metadata
from .gateway import UfGateway
try:
__version__ = importlib_metadata.version("vnpy_uf")
except importlib_metadata.PackageNotFoundError:
__version__ = "dev" | 21.333333 | 55 | 0.802083 | 20 | 192 | 7.1 | 0.65 | 0.359155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130208 | 192 | 9 | 56 | 21.333333 | 0.850299 | 0 | 0 | 0 | 0 | 0 | 0.051813 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
ef953313c5c40bc6804807d297658b9250178128 | 72 | py | Python | datasets/__init__.py | guochengqian/ASSANet | f7a63d787df0ade975085acf0504b9b06f62c722 | [
"MIT"
] | 9 | 2021-11-01T13:03:03.000Z | 2022-02-23T13:34:15.000Z | datasets/__init__.py | guochengqian/ASSANet | f7a63d787df0ade975085acf0504b9b06f62c722 | [
"MIT"
] | 2 | 2021-11-16T11:32:12.000Z | 2022-02-07T13:16:42.000Z | datasets/__init__.py | guochengqian/ASSANet | f7a63d787df0ade975085acf0504b9b06f62c722 | [
"MIT"
] | null | null | null | from .S3DIS import S3DISSeg, get_scene_seg_features, build_s3dis_loader
| 36 | 71 | 0.875 | 11 | 72 | 5.272727 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 0.083333 | 72 | 1 | 72 | 72 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
efaa929101689b768811458e464b37d91b1afcb2 | 182 | py | Python | tools/pykitti_eval/non_max_suppression/__init__.py | ZhuokunYao/smoke | d524fbe43b1aba6078c25d9aca7924b71a635e1d | [
"MIT"
] | 5 | 2021-01-29T08:35:23.000Z | 2022-03-07T02:05:14.000Z | tools/pykitti_eval/non_max_suppression/__init__.py | ZhuokunYao/smoke | d524fbe43b1aba6078c25d9aca7924b71a635e1d | [
"MIT"
] | 1 | 2021-12-08T05:55:56.000Z | 2021-12-08T05:55:56.000Z | tools/pykitti_eval/non_max_suppression/__init__.py | ZhuokunYao/smoke | d524fbe43b1aba6078c25d9aca7924b71a635e1d | [
"MIT"
] | 1 | 2021-08-08T07:08:47.000Z | 2021-08-08T07:08:47.000Z | from tools.pykitti_eval.non_max_suppression.nms_cpu import nms_jit, soft_nms_jit
from tools.pykitti_eval.non_max_suppression.nms_gpu import (nms_gpu, rotate_iou_gpu, rotate_nms_gpu)
| 60.666667 | 100 | 0.879121 | 33 | 182 | 4.363636 | 0.454545 | 0.125 | 0.222222 | 0.277778 | 0.555556 | 0.555556 | 0.555556 | 0.555556 | 0 | 0 | 0 | 0 | 0.06044 | 182 | 2 | 101 | 91 | 0.842105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
efe7692e5cf321b92ca41125270baec9fb722973 | 45 | py | Python | esridump/errors.py | latot/pyesridump | 9c5d2fc9d02b37736ee1a80beadec934fd0e4365 | [
"MIT"
] | 201 | 2016-08-15T18:57:00.000Z | 2022-02-28T06:30:00.000Z | esridump/errors.py | latot/pyesridump | 9c5d2fc9d02b37736ee1a80beadec934fd0e4365 | [
"MIT"
] | 54 | 2016-08-15T12:17:19.000Z | 2022-03-25T15:00:42.000Z | esridump/errors.py | latot/pyesridump | 9c5d2fc9d02b37736ee1a80beadec934fd0e4365 | [
"MIT"
] | 51 | 2016-08-14T16:43:52.000Z | 2022-03-23T18:06:37.000Z | class EsriDownloadError(Exception):
pass
| 15 | 35 | 0.777778 | 4 | 45 | 8.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155556 | 45 | 2 | 36 | 22.5 | 0.921053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
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