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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
00f9c89a556ddab940d16192299ad3c1c54464c3
| 3,017
|
py
|
Python
|
backend/shared/shared/oidc/tests/test_oidc_views.py
|
iivoraitahila/yjdh
|
4a9b46e0458529548af818534600eadd4f96a048
|
[
"MIT"
] | null | null | null |
backend/shared/shared/oidc/tests/test_oidc_views.py
|
iivoraitahila/yjdh
|
4a9b46e0458529548af818534600eadd4f96a048
|
[
"MIT"
] | null | null | null |
backend/shared/shared/oidc/tests/test_oidc_views.py
|
iivoraitahila/yjdh
|
4a9b46e0458529548af818534600eadd4f96a048
|
[
"MIT"
] | null | null | null |
import datetime
import re
import pytest
from django.conf import settings
from django.test import override_settings
from django.urls import reverse
from shared.oidc.tests.factories import OIDCProfileFactory
@pytest.mark.django_db
@override_settings(
OIDC_OP_LOGOUT_ENDPOINT="http://example.com/logout/",
MOCK_FLAG=False,
)
def test_logout_view(requests_mock, user_client, user):
OIDCProfileFactory(user=user)
matcher = re.compile(settings.OIDC_OP_LOGOUT_ENDPOINT)
requests_mock.post(matcher)
logout_url = reverse("oidc_logout")
response = user_client.post(logout_url)
assert response.status_code == 200
assert response.content == b"OK"
assert "_auth_user_id" not in user_client.session # User not authenticated
@pytest.mark.django_db
@override_settings(
OIDC_OP_LOGOUT_ENDPOINT="http://example.com/logout/",
MOCK_FLAG=False,
)
def test_logout_view_without_oidc_profile(requests_mock, user_client, user):
matcher = re.compile(settings.OIDC_OP_LOGOUT_ENDPOINT)
requests_mock.post(matcher)
logout_url = reverse("oidc_logout")
response = user_client.post(logout_url)
assert response.status_code == 200
assert "_auth_user_id" not in user_client.session # User not authenticated
@pytest.mark.django_db
@override_settings(
OIDC_OP_USER_ENDPOINT="http://example.com/userinfo/",
MOCK_FLAG=False,
)
def test_userinfo_view(requests_mock, user_client, user):
OIDCProfileFactory(
user=user,
refresh_token_expires=datetime.datetime.now() - datetime.timedelta(hours=1),
)
userinfo = {
"sub": "82e17287-f34e-4e4b-b3d2-15857b3f952a",
"national_id_num": "210281-9988",
"name": "Nordea Demo",
"preferred_username": "e29a380628e06d3e0e903b8fb245f1910bceee063cda47c27df1f976dc60aa9b",
"given_name": "Nordea",
"family_name": "Demo",
}
matcher = re.compile(settings.OIDC_OP_USER_ENDPOINT)
requests_mock.get(matcher, json=userinfo)
userinfo_url = reverse("oidc_userinfo")
response = user_client.get(userinfo_url)
assert response.json() == userinfo
@pytest.mark.django_db
@override_settings(
OIDC_OP_USER_ENDPOINT="http://example.com/userinfo/",
MOCK_FLAG=False,
)
def test_userinfo_view_without_oidc_profile(user_client):
userinfo_url = reverse("oidc_userinfo")
response = user_client.get(userinfo_url)
assert response.status_code == 401
@pytest.mark.django_db
@override_settings(
OIDC_OP_USER_ENDPOINT="http://example.com/userinfo/",
MOCK_FLAG=False,
)
def test_userinfo_view_with_userinfo_returning_401(requests_mock, user_client, user):
OIDCProfileFactory(
user=user,
refresh_token_expires=datetime.datetime.now() - datetime.timedelta(hours=1),
)
matcher = re.compile(settings.OIDC_OP_USER_ENDPOINT)
requests_mock.get(matcher, status_code=401)
userinfo_url = reverse("oidc_userinfo")
response = user_client.get(userinfo_url)
assert response.status_code == 401
| 28.462264
| 97
| 0.744448
| 380
| 3,017
| 5.6
| 0.221053
| 0.056391
| 0.059211
| 0.042293
| 0.768797
| 0.758459
| 0.758459
| 0.758459
| 0.758459
| 0.735902
| 0
| 0.034861
| 0.153795
| 3,017
| 105
| 98
| 28.733333
| 0.798668
| 0.014915
| 0
| 0.6
| 0
| 0
| 0.140788
| 0.033681
| 0
| 0
| 0
| 0
| 0.1
| 1
| 0.0625
| false
| 0
| 0.0875
| 0
| 0.15
| 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
|
2e689bc181ef7b44bf4577a21c8609eab04af358
| 143
|
py
|
Python
|
src/test/resources/pytest/class/simple/test_simple_expected.py
|
AlexTereshenkov/pybutler
|
3712e116d9b33fb8ad52b8f00fd41136f1266090
|
[
"MIT"
] | null | null | null |
src/test/resources/pytest/class/simple/test_simple_expected.py
|
AlexTereshenkov/pybutler
|
3712e116d9b33fb8ad52b8f00fd41136f1266090
|
[
"MIT"
] | null | null | null |
src/test/resources/pytest/class/simple/test_simple_expected.py
|
AlexTereshenkov/pybutler
|
3712e116d9b33fb8ad52b8f00fd41136f1266090
|
[
"MIT"
] | null | null | null |
import pytest
class TestCase:
def test_function1(self):
assert True
return
def test_function2(self):
assert True
return
| 11.916667
| 27
| 0.692308
| 18
| 143
| 5.388889
| 0.666667
| 0.14433
| 0.28866
| 0.412371
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018868
| 0.258741
| 143
| 11
| 28
| 13
| 0.896226
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| false
| 0
| 0.125
| 0
| 0.75
| 0
| 1
| 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
| 0
| 1
| 0
|
0
| 5
|
2e6cb1b7a6c9eaa18f3c0066aefcedd0e060e425
| 53
|
py
|
Python
|
RLBotPack/DisasterBot/mechanic/drive_navigate_boost/__init__.py
|
L0laapk3/RLBotPack
|
f54038475d2a57428f3784560755f96bfcf8015f
|
[
"MIT"
] | 13
|
2019-05-25T20:25:51.000Z
|
2022-03-19T13:36:23.000Z
|
RLBotPack/DisasterBot/mechanic/drive_navigate_boost/__init__.py
|
L0laapk3/RLBotPack
|
f54038475d2a57428f3784560755f96bfcf8015f
|
[
"MIT"
] | 53
|
2019-06-07T13:31:59.000Z
|
2022-03-28T22:53:47.000Z
|
RLBotPack/DisasterBot/mechanic/drive_navigate_boost/__init__.py
|
L0laapk3/RLBotPack
|
f54038475d2a57428f3784560755f96bfcf8015f
|
[
"MIT"
] | 78
|
2019-06-30T08:42:13.000Z
|
2022-03-23T20:11:42.000Z
|
from .drive_navigate_boost import DriveNavigateBoost
| 26.5
| 52
| 0.90566
| 6
| 53
| 7.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075472
| 53
| 1
| 53
| 53
| 0.938776
| 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
|
5cee953d884982737a7ced0e7d2b6191284a09c7
| 46
|
py
|
Python
|
main.py
|
AlexsandrSoroko/demo
|
e3d00ee640a8a184ceebe20180741876c710d25a
|
[
"MIT"
] | null | null | null |
main.py
|
AlexsandrSoroko/demo
|
e3d00ee640a8a184ceebe20180741876c710d25a
|
[
"MIT"
] | null | null | null |
main.py
|
AlexsandrSoroko/demo
|
e3d00ee640a8a184ceebe20180741876c710d25a
|
[
"MIT"
] | null | null | null |
print ("hello World")
print ("he llo python")
| 15.333333
| 23
| 0.673913
| 7
| 46
| 4.428571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152174
| 46
| 2
| 24
| 23
| 0.794872
| 0
| 0
| 0
| 0
| 0
| 0.521739
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
cf1a373cd1448275edd31ac27beee600dc6a2151
| 22
|
py
|
Python
|
Modules/vms/prvdef/prvdef.py
|
vmssoftware/cpython
|
b5d2c7f578d33963798a02ca32f0c151c908aa7c
|
[
"0BSD"
] | 2
|
2021-10-06T15:46:53.000Z
|
2022-01-26T02:58:54.000Z
|
Modules/vms/prvdef/prvdef.py
|
vmssoftware/cpython
|
b5d2c7f578d33963798a02ca32f0c151c908aa7c
|
[
"0BSD"
] | null | null | null |
Modules/vms/prvdef/prvdef.py
|
vmssoftware/cpython
|
b5d2c7f578d33963798a02ca32f0c151c908aa7c
|
[
"0BSD"
] | null | null | null |
from _prvdef import *
| 11
| 21
| 0.772727
| 3
| 22
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 22
| 1
| 22
| 22
| 0.888889
| 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
|
cf23eaa520d002a6681c7a2b294745a172c2bd42
| 32
|
py
|
Python
|
pytoport/__main__.py
|
sbz/pytoport
|
0d4e91fd6ccc345152fcf7c817e4c8f1c22dd952
|
[
"BSD-2-Clause"
] | 27
|
2015-12-29T12:14:18.000Z
|
2021-03-27T21:24:39.000Z
|
pytoport/__main__.py
|
sbz/pytoport
|
0d4e91fd6ccc345152fcf7c817e4c8f1c22dd952
|
[
"BSD-2-Clause"
] | 12
|
2015-12-26T13:25:53.000Z
|
2020-07-08T15:36:00.000Z
|
pytoport/__main__.py
|
sbz/pytoport
|
0d4e91fd6ccc345152fcf7c817e4c8f1c22dd952
|
[
"BSD-2-Clause"
] | 14
|
2016-01-28T22:16:22.000Z
|
2021-08-02T20:05:14.000Z
|
import pytoport
pytoport.main()
| 10.666667
| 15
| 0.8125
| 4
| 32
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 32
| 2
| 16
| 16
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
cf413c116046bc972c8b7e49a9935093e35758b1
| 36
|
py
|
Python
|
py_file_carving/libary/__init__.py
|
wahlflo/pyFileCarving
|
7bbbbedccb551273fd4b22614c86f51bc876bd78
|
[
"MIT"
] | null | null | null |
py_file_carving/libary/__init__.py
|
wahlflo/pyFileCarving
|
7bbbbedccb551273fd4b22614c86f51bc876bd78
|
[
"MIT"
] | null | null | null |
py_file_carving/libary/__init__.py
|
wahlflo/pyFileCarving
|
7bbbbedccb551273fd4b22614c86f51bc876bd78
|
[
"MIT"
] | null | null | null |
from .file_carver import FileCarver
| 18
| 35
| 0.861111
| 5
| 36
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 36
| 1
| 36
| 36
| 0.9375
| 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
|
cf57924b7ebdd742f50c15855c85d767ef2f0f04
| 7,278
|
py
|
Python
|
sni/esi/scope.py
|
altaris/seat-navy-issue
|
0595cdd25503e9702b847f083fbb6d5cb92b6829
|
[
"MIT"
] | 1
|
2021-06-03T22:07:52.000Z
|
2021-06-03T22:07:52.000Z
|
sni/esi/scope.py
|
r0kym/seat-navy-issue
|
dfd12df1230f68de7b7b05c1004e901be5046ad5
|
[
"MIT"
] | 1
|
2020-07-06T13:59:09.000Z
|
2020-07-06T16:42:20.000Z
|
sni/esi/scope.py
|
r0kym/seat-navy-issue
|
dfd12df1230f68de7b7b05c1004e901be5046ad5
|
[
"MIT"
] | 1
|
2020-10-29T15:01:03.000Z
|
2020-10-29T15:01:03.000Z
|
"""
ESI scopes
"""
from typing import Set
from enum import Enum
class EsiScope(str, Enum):
"""
Enumeration of the ESI scopes
"""
ESI_ALLIANCES_READ_CONTACTS_V1 = "esi-alliances.read_contacts.v1"
ESI_ASSETS_READ_ASSETS_V1 = "esi-assets.read_assets.v1"
ESI_ASSETS_READ_CORPORATION_ASSETS_V1 = (
"esi-assets.read_corporation_assets.v1"
)
ESI_BOOKMARKS_READ_CHARACTER_BOOKMARKS_V1 = (
"esi-bookmarks.read_character_bookmarks.v1"
)
ESI_BOOKMARKS_READ_CORPORATION_BOOKMARKS_V1 = (
"esi-bookmarks.read_corporation_bookmarks.v1"
)
ESI_CALENDAR_READ_CALENDAR_EVENTS_V1 = (
"esi-calendar.read_calendar_events.v1"
)
ESI_CALENDAR_RESPOND_CALENDAR_EVENTS_V1 = (
"esi-calendar.respond_calendar_events.v1"
)
ESI_CHARACTERS_READ_AGENTS_RESEARCH_V1 = (
"esi-characters.read_agents_research.v1"
)
ESI_CHARACTERS_READ_BLUEPRINTS_V1 = "esi-characters.read_blueprints.v1"
ESI_CHARACTERS_READ_CHAT_CHANNELS_V1 = (
"esi-characters.read_chat_channels.v1"
)
ESI_CHARACTERS_READ_CONTACTS_V1 = "esi-characters.read_contacts.v1"
ESI_CHARACTERS_READ_CORPORATION_ROLES_V1 = (
"esi-characters.read_corporation_roles.v1"
)
ESI_CHARACTERS_READ_FATIGUE_V1 = "esi-characters.read_fatigue.v1"
ESI_CHARACTERS_READ_FW_STATS_V1 = "esi-characters.read_fw_stats.v1"
ESI_CHARACTERS_READ_LOYALTY_V1 = "esi-characters.read_loyalty.v1"
ESI_CHARACTERS_READ_MEDALS_V1 = "esi-characters.read_medals.v1"
ESI_CHARACTERS_READ_NOTIFICATIONS_V1 = (
"esi-characters.read_notifications.v1"
)
ESI_CHARACTERS_READ_OPPORTUNITIES_V1 = (
"esi-characters.read_opportunities.v1"
)
ESI_CHARACTERS_READ_STANDINGS_V1 = "esi-characters.read_standings.v1"
ESI_CHARACTERS_READ_TITLES_V1 = "esi-characters.read_titles.v1"
ESI_CHARACTERS_WRITE_CONTACTS_V1 = "esi-characters.write_contacts.v1"
ESI_CHARACTERSTATS_READ_V1 = "esi-characterstats.read.v1"
ESI_CLONES_READ_CLONES_V1 = "esi-clones.read_clones.v1"
ESI_CLONES_READ_IMPLANTS_V1 = "esi-clones.read_implants.v1"
ESI_CONTRACTS_READ_CHARACTER_CONTRACTS_V1 = (
"esi-contracts.read_character_contracts.v1"
)
ESI_CONTRACTS_READ_CORPORATION_CONTRACTS_V1 = (
"esi-contracts.read_corporation_contracts.v1"
)
ESI_CORPORATIONS_READ_BLUEPRINTS_V1 = "esi-corporations.read_blueprints.v1"
ESI_CORPORATIONS_READ_CONTACTS_V1 = "esi-corporations.read_contacts.v1"
ESI_CORPORATIONS_READ_CONTAINER_LOGS_V1 = (
"esi-corporations.read_container_logs.v1"
)
ESI_CORPORATIONS_READ_CORPORATION_MEMBERSHIP_V1 = (
"esi-corporations.read_corporation_membership.v1"
)
ESI_CORPORATIONS_READ_DIVISIONS_V1 = "esi-corporations.read_divisions.v1"
ESI_CORPORATIONS_READ_FACILITIES_V1 = "esi-corporations.read_facilities.v1"
ESI_CORPORATIONS_READ_FW_STATS_V1 = "esi-corporations.read_fw_stats.v1"
ESI_CORPORATIONS_READ_MEDALS_V1 = "esi-corporations.read_medals.v1"
ESI_CORPORATIONS_READ_STANDINGS_V1 = "esi-corporations.read_standings.v1"
ESI_CORPORATIONS_READ_STARBASES_V1 = "esi-corporations.read_starbases.v1"
ESI_CORPORATIONS_READ_STRUCTURES_V1 = "esi-corporations.read_structures.v1"
ESI_CORPORATIONS_READ_TITLES_V1 = "esi-corporations.read_titles.v1"
ESI_CORPORATIONS_TRACK_MEMBERS_V1 = "esi-corporations.track_members.v1"
ESI_FITTINGS_READ_FITTINGS_V1 = "esi-fittings.read_fittings.v1"
ESI_FITTINGS_WRITE_FITTINGS_V1 = "esi-fittings.write_fittings.v1"
ESI_FLEETS_READ_FLEET_V1 = "esi-fleets.read_fleet.v1"
ESI_FLEETS_WRITE_FLEET_V1 = "esi-fleets.write_fleet.v1"
ESI_INDUSTRY_READ_CHARACTER_JOBS_V1 = "esi-industry.read_character_jobs.v1"
ESI_INDUSTRY_READ_CHARACTER_MINING_V1 = (
"esi-industry.read_character_mining.v1"
)
ESI_INDUSTRY_READ_CORPORATION_JOBS_V1 = (
"esi-industry.read_corporation_jobs.v1"
)
ESI_INDUSTRY_READ_CORPORATION_MINING_V1 = (
"esi-industry.read_corporation_mining.v1"
)
ESI_KILLMAILS_READ_CORPORATION_KILLMAILS_V1 = (
"esi-killmails.read_corporation_killmails.v1"
)
ESI_KILLMAILS_READ_KILLMAILS_V1 = "esi-killmails.read_killmails.v1"
ESI_LOCATION_READ_LOCATION_V1 = "esi-location.read_location.v1"
ESI_LOCATION_READ_ONLINE_V1 = "esi-location.read_online.v1"
ESI_LOCATION_READ_SHIP_TYPE_V1 = "esi-location.read_ship_type.v1"
ESI_MAIL_ORGANIZE_MAIL_V1 = "esi-mail.organize_mail.v1"
ESI_MAIL_READ_MAIL_V1 = "esi-mail.read_mail.v1"
ESI_MAIL_SEND_MAIL_V1 = "esi-mail.send_mail.v1"
ESI_MARKETS_READ_CHARACTER_ORDERS_V1 = (
"esi-markets.read_character_orders.v1"
)
ESI_MARKETS_READ_CORPORATION_ORDERS_V1 = (
"esi-markets.read_corporation_orders.v1"
)
ESI_MARKETS_STRUCTURE_MARKETS_V1 = "esi-markets.structure_markets.v1"
ESI_PLANETS_MANAGE_PLANETS_V1 = "esi-planets.manage_planets.v1"
ESI_PLANETS_READ_CUSTOMS_OFFICES_V1 = "esi-planets.read_customs_offices.v1"
ESI_SEARCH_SEARCH_STRUCTURES_V1 = "esi-search.search_structures.v1"
ESI_SKILLS_READ_SKILLQUEUE_V1 = "esi-skills.read_skillqueue.v1"
ESI_SKILLS_READ_SKILLS_V1 = "esi-skills.read_skills.v1"
ESI_UI_OPEN_WINDOW_V1 = "esi-ui.open_window.v1"
ESI_UI_WRITE_WAYPOINT_V1 = "esi-ui.write_waypoint.v1"
ESI_UNIVERSE_READ_STRUCTURES_V1 = "esi-universe.read_structures.v1"
ESI_WALLET_READ_CHARACTER_WALLET_V1 = "esi-wallet.read_character_wallet.v1"
ESI_WALLET_READ_CORPORATION_WALLET_V1 = (
"esi-wallet.read_corporation_wallet.v1"
)
ESI_WALLET_READ_CORPORATION_WALLETS_V1 = (
"esi-wallet.read_corporation_wallets.v1"
)
PUBLICDATA = "publicData"
def esi_scope_set_to_int(scope_set: Set[EsiScope]) -> int:
"""
Encodes a set of ESI scopes as an int. Inverse to
:meth:`sni.esi.scope.int_to_esi_scope_set`.
Each ESI scope (of enum :class:`sni.esi.scope.EsiScope`) corresponds to a
power of 2 via the following formula::
2 ** (index of the scope in EsiScope)
where the index counting starts at 0. Note that
:class:`sni.esi.scope.EsiScope` is sorted in alphabetic order. The final
result is obtained by bitwise-and the individual scope numbers.
"""
result = 0
index = 0
for scope in EsiScope:
if scope in scope_set:
result |= 2 ** index
index += 1
return result
def esi_scope_set_to_hex(scope_set: Set[EsiScope]) -> str:
"""
Encodes a set of ESI scopes as an hexadecimal number. See
:meth:`sni.esi.scope.esi_scope_set_to_int`
"""
return format(esi_scope_set_to_int(scope_set), "x")
def hex_to_esi_scope_set(scope_set_hex: str) -> Set[EsiScope]:
"""
Converts an hexadecimal number to a set of Esi scopes. See
:meth:`sni.esi.scope.int_to_esi_scope_set`
"""
return int_to_esi_scope_set(int(scope_set_hex, 16))
def int_to_esi_scope_set(scope_set_int: int) -> Set[EsiScope]:
"""
Converts an integer to a set of Esi scopes. Inverse to
:meth:`sni.esi.scope.esi_scope_set_to_int`.
"""
result = set()
index = 0
for scope in EsiScope:
if scope_set_int & (2 ** index) > 0:
result.add(scope)
index += 1
return result
| 39.989011
| 79
| 0.746084
| 1,008
| 7,278
| 4.943452
| 0.138889
| 0.137467
| 0.084287
| 0.099137
| 0.878587
| 0.860124
| 0.822998
| 0.739715
| 0.594822
| 0.288581
| 0
| 0.024909
| 0.167079
| 7,278
| 181
| 80
| 40.209945
| 0.797097
| 0.107035
| 0
| 0.058394
| 0
| 0
| 0.355238
| 0.353513
| 0
| 0
| 0
| 0
| 0
| 1
| 0.029197
| false
| 0
| 0.014599
| 0
| 0.591241
| 0.014599
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 1
| 0
|
0
| 5
|
cf6ee53d29f2e7d6d19a556ecde4369f997eec1f
| 28
|
py
|
Python
|
lang/en.py
|
claretnnamocha/Folder-Structure
|
29da3426e6e778732b7c8d93041bf8e104ea56be
|
[
"Apache-2.0"
] | null | null | null |
lang/en.py
|
claretnnamocha/Folder-Structure
|
29da3426e6e778732b7c8d93041bf8e104ea56be
|
[
"Apache-2.0"
] | null | null | null |
lang/en.py
|
claretnnamocha/Folder-Structure
|
29da3426e6e778732b7c8d93041bf8e104ea56be
|
[
"Apache-2.0"
] | 1
|
2020-03-05T10:48:35.000Z
|
2020-03-05T10:48:35.000Z
|
{"lng.test": "Sample text"}
| 14
| 27
| 0.607143
| 4
| 28
| 4.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 28
| 1
| 28
| 28
| 0.68
| 0
| 0
| 0
| 0
| 0
| 0.678571
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
cf812981fc7e941f386d0f037afd0e7674ac08ee
| 24
|
py
|
Python
|
python/testData/formatter/fStringFragmentWrappingSplitInsideNestedExpression.py
|
tgodzik/intellij-community
|
f5ef4191fc30b69db945633951fb160c1cfb7b6f
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/formatter/fStringFragmentWrappingSplitInsideNestedExpression.py
|
tgodzik/intellij-community
|
f5ef4191fc30b69db945633951fb160c1cfb7b6f
|
[
"Apache-2.0"
] | 2
|
2022-02-19T09:45:05.000Z
|
2022-02-27T20:32:55.000Z
|
python/testData/formatter/fStringFragmentWrappingSplitInsideNestedExpression.py
|
tgodzik/intellij-community
|
f5ef4191fc30b69db945633951fb160c1cfb7b6f
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
s = f'aaaa{42:{bar()}}'
| 12
| 23
| 0.458333
| 5
| 24
| 2.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 0.125
| 24
| 1
| 24
| 24
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0.666667
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d89c7f98df294a2cc5d1eaa075d14c507155accd
| 152
|
py
|
Python
|
modules/selection.py
|
Noorth34/barakaTools
|
c87361a284ab6b410f4957794d022cb07ea216ff
|
[
"CC0-1.0"
] | null | null | null |
modules/selection.py
|
Noorth34/barakaTools
|
c87361a284ab6b410f4957794d022cb07ea216ff
|
[
"CC0-1.0"
] | null | null | null |
modules/selection.py
|
Noorth34/barakaTools
|
c87361a284ab6b410f4957794d022cb07ea216ff
|
[
"CC0-1.0"
] | null | null | null |
# coding:utf-8
import maya.cmds as cmds
class Selection:
def __init__(self):
pass
@staticmethod
def get():
return cmds.ls(sl=True, ap=True)
| 10.857143
| 34
| 0.690789
| 24
| 152
| 4.208333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00813
| 0.190789
| 152
| 13
| 35
| 11.692308
| 0.813008
| 0.078947
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.142857
| 0.142857
| 0.142857
| 0.714286
| 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
|
d89cff7c5ed73bfb8682444b84e7a83a1211f446
| 97
|
py
|
Python
|
venv/Lib/site-packages/cert_schema-2.1.6-py3.7.egg/cert_schema/errors.py
|
phurinaix/signed_credentials
|
2757f65a0f8cbcdd9593aa669e155c1b91c863c2
|
[
"MIT"
] | 40
|
2016-10-02T19:37:35.000Z
|
2021-04-08T17:27:06.000Z
|
venv/Lib/site-packages/cert_schema-2.1.6-py3.7.egg/cert_schema/errors.py
|
phurinaix/signed_credentials
|
2757f65a0f8cbcdd9593aa669e155c1b91c863c2
|
[
"MIT"
] | 30
|
2016-09-29T17:36:30.000Z
|
2022-01-05T15:24:50.000Z
|
venv/Lib/site-packages/cert_schema-2.1.6-py3.7.egg/cert_schema/errors.py
|
phurinaix/signed_credentials
|
2757f65a0f8cbcdd9593aa669e155c1b91c863c2
|
[
"MIT"
] | 49
|
2016-10-25T11:16:15.000Z
|
2022-01-03T18:44:42.000Z
|
class BlockcertValidationError(Exception):
pass
class InvalidUrlError(Exception):
pass
| 13.857143
| 42
| 0.773196
| 8
| 97
| 9.375
| 0.625
| 0.346667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164948
| 97
| 6
| 43
| 16.166667
| 0.925926
| 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
| 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
|
d8d80cec7a52914c99139045b1ca39833fac7f7f
| 69
|
py
|
Python
|
EasyLaMa/__init__.py
|
kanttouchthis/EasyLaMa
|
7b7ee21e6b491ea01b130b62467c50f1fc7f692b
|
[
"MIT"
] | 1
|
2021-12-28T15:05:09.000Z
|
2021-12-28T15:05:09.000Z
|
EasyLaMa/__init__.py
|
kanttouchthis/EasyLaMa
|
7b7ee21e6b491ea01b130b62467c50f1fc7f692b
|
[
"MIT"
] | null | null | null |
EasyLaMa/__init__.py
|
kanttouchthis/EasyLaMa
|
7b7ee21e6b491ea01b130b62467c50f1fc7f692b
|
[
"MIT"
] | null | null | null |
from . import textremoval, utils
from .textremoval import TextRemover
| 34.5
| 36
| 0.84058
| 8
| 69
| 7.25
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115942
| 69
| 2
| 36
| 34.5
| 0.95082
| 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
|
d8def4e569692584d3e1228de3f132f9b22b6735
| 200
|
py
|
Python
|
mstrio/access_and_security/__init__.py
|
MicroStrategy/mstrio-py
|
720af7e673ed62462366d1406e5ea14792461e94
|
[
"Apache-2.0"
] | 60
|
2018-06-28T22:31:47.000Z
|
2022-03-30T14:03:30.000Z
|
mstrio/access_and_security/__init__.py
|
czyzq/mstrio-py
|
b25fd19936b659d503a7eaaa96c8d0b4e118cb7c
|
[
"Apache-2.0"
] | 52
|
2018-11-15T15:31:03.000Z
|
2022-03-28T05:34:22.000Z
|
mstrio/access_and_security/__init__.py
|
czyzq/mstrio-py
|
b25fd19936b659d503a7eaaa96c8d0b4e118cb7c
|
[
"Apache-2.0"
] | 44
|
2018-08-30T10:31:49.000Z
|
2022-03-31T16:16:36.000Z
|
# TODO: fix circular import
# flake8: noqa
# from .privilege_mode import PrivilegeMode
# from .privilege import Privilege, PrivilegeList
# from .security_role import list_security_roles, SecurityRole
| 33.333333
| 62
| 0.815
| 24
| 200
| 6.625
| 0.666667
| 0.163522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005714
| 0.125
| 200
| 5
| 63
| 40
| 0.902857
| 0.945
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0.2
| 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
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d8dff415e4935295795b9515def2a26f6e814933
| 101
|
py
|
Python
|
python_modules/dagster/dagster/core/launcher/__init__.py
|
dbatten5/dagster
|
d76e50295054ffe5a72f9b292ef57febae499528
|
[
"Apache-2.0"
] | 4,606
|
2018-06-21T17:45:20.000Z
|
2022-03-31T23:39:42.000Z
|
python_modules/dagster/dagster/core/launcher/__init__.py
|
dbatten5/dagster
|
d76e50295054ffe5a72f9b292ef57febae499528
|
[
"Apache-2.0"
] | 6,221
|
2018-06-12T04:36:01.000Z
|
2022-03-31T21:43:05.000Z
|
python_modules/dagster/dagster/core/launcher/__init__.py
|
dbatten5/dagster
|
d76e50295054ffe5a72f9b292ef57febae499528
|
[
"Apache-2.0"
] | 619
|
2018-08-22T22:43:09.000Z
|
2022-03-31T22:48:06.000Z
|
from .base import LaunchRunContext, RunLauncher
from .default_run_launcher import DefaultRunLauncher
| 33.666667
| 52
| 0.881188
| 11
| 101
| 7.909091
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089109
| 101
| 2
| 53
| 50.5
| 0.945652
| 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
|
2b0279549a812b91c6729838b2379b9bd47d2113
| 116
|
py
|
Python
|
schedule/admin.py
|
irfanmaulananasution/guidian
|
b5224c58d320c81bb085a89bcc011e020207a1f2
|
[
"MIT"
] | 1
|
2021-09-09T02:34:59.000Z
|
2021-09-09T02:34:59.000Z
|
schedule/admin.py
|
irfanmaulananasution/guidian
|
b5224c58d320c81bb085a89bcc011e020207a1f2
|
[
"MIT"
] | null | null | null |
schedule/admin.py
|
irfanmaulananasution/guidian
|
b5224c58d320c81bb085a89bcc011e020207a1f2
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import RegTourScheduleModel
admin.site.register(RegTourScheduleModel)
| 29
| 41
| 0.87069
| 13
| 116
| 7.769231
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077586
| 116
| 4
| 41
| 29
| 0.943925
| 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
|
2b42160081fabd80d28b75f1072e976821392d74
| 107,468
|
py
|
Python
|
Python/Base/google.py
|
Ze7111/OMNIX
|
f0800b737ff3dd3a1b0e3093d7ecfd7e6224d9fa
|
[
"Xnet",
"X11"
] | 1
|
2022-01-18T19:19:09.000Z
|
2022-01-18T19:19:09.000Z
|
Python/Base/google.py
|
Ze7111/OMNIX
|
f0800b737ff3dd3a1b0e3093d7ecfd7e6224d9fa
|
[
"Xnet",
"X11"
] | null | null | null |
Python/Base/google.py
|
Ze7111/OMNIX
|
f0800b737ff3dd3a1b0e3093d7ecfd7e6224d9fa
|
[
"Xnet",
"X11"
] | null | null | null |
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
| 107,468
| 107,468
| 0.984637
| 3,243
| 107,468
| 32.104224
| 0.976873
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158503
| 0
| 107,468
| 1
| 107,468
| 107,468
| 0.810288
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9945c3ae3f119af55dab7ddd2f36812801ba5484
| 204
|
py
|
Python
|
mysite/smartpollution/admin.py
|
SandroLuck/SCGenerator
|
6f9dcfe1ed721ca9a8ab674e1fe69822a5a92b30
|
[
"MIT"
] | 10
|
2017-09-04T21:02:08.000Z
|
2022-01-13T14:35:44.000Z
|
mysite/smartpollution/admin.py
|
SandroLuck/SCGenerator
|
6f9dcfe1ed721ca9a8ab674e1fe69822a5a92b30
|
[
"MIT"
] | null | null | null |
mysite/smartpollution/admin.py
|
SandroLuck/SCGenerator
|
6f9dcfe1ed721ca9a8ab674e1fe69822a5a92b30
|
[
"MIT"
] | 3
|
2018-03-14T03:23:56.000Z
|
2022-03-20T04:20:18.000Z
|
from django.contrib import admin
from .models import *
admin.site.register(Device)
admin.site.register(Metric)
admin.site.register(Template)
admin.site.register(Threshold)
admin.site.register(Contract)
| 20.4
| 32
| 0.813725
| 28
| 204
| 5.928571
| 0.464286
| 0.271084
| 0.512048
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073529
| 204
| 9
| 33
| 22.666667
| 0.878307
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.285714
| 0
| 0.285714
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
99487fe49198ffd19ae498dfd50c50c20d0909ec
| 153
|
py
|
Python
|
plasma/training/data/__init__.py
|
jokingbear/DM
|
9c4dada1756f3d866455a397511d4f3bacfadc60
|
[
"MIT"
] | 1
|
2022-02-21T08:44:34.000Z
|
2022-02-21T08:44:34.000Z
|
plasma/training/data/__init__.py
|
jokingbear/DM
|
9c4dada1756f3d866455a397511d4f3bacfadc60
|
[
"MIT"
] | null | null | null |
plasma/training/data/__init__.py
|
jokingbear/DM
|
9c4dada1756f3d866455a397511d4f3bacfadc60
|
[
"MIT"
] | null | null | null |
from .base_class import StandardDataset as Dataset, RandomSampler, SequentialSampler
from .df_data import PandasDataset
from ..data import augmentations
| 38.25
| 84
| 0.856209
| 18
| 153
| 7.166667
| 0.722222
| 0.155039
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104575
| 153
| 3
| 85
| 51
| 0.941606
| 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
|
99505bf68dbfe8cd5b32ee630b5947c372b12232
| 148
|
py
|
Python
|
src/hommmer/charts/__init__.py
|
hammer-mt/hommmer
|
a02cb87841395f30911242a019f28f6ac15f27ec
|
[
"MIT"
] | 4
|
2021-11-09T21:27:30.000Z
|
2021-11-23T00:38:20.000Z
|
src/hommmer/charts/__init__.py
|
hammer-mt/hommmer
|
a02cb87841395f30911242a019f28f6ac15f27ec
|
[
"MIT"
] | null | null | null |
src/hommmer/charts/__init__.py
|
hammer-mt/hommmer
|
a02cb87841395f30911242a019f28f6ac15f27ec
|
[
"MIT"
] | null | null | null |
from .accuracy import accuracy
from .heatmap import heatmap
from .pairplot import pairplot
from .response import response
from .y_corr import y_corr
| 29.6
| 30
| 0.837838
| 22
| 148
| 5.545455
| 0.363636
| 0.081967
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128378
| 148
| 5
| 31
| 29.6
| 0.945736
| 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
|
999779fabd19a94de23a7471e8e595d9ec9962f6
| 587
|
py
|
Python
|
sdk/python/pulumi_azure_native/policyinsights/v20210101/__init__.py
|
sebtelko/pulumi-azure-native
|
711ec021b5c73da05611c56c8a35adb0ce3244e4
|
[
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure_native/policyinsights/v20210101/__init__.py
|
sebtelko/pulumi-azure-native
|
711ec021b5c73da05611c56c8a35adb0ce3244e4
|
[
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure_native/policyinsights/v20210101/__init__.py
|
sebtelko/pulumi-azure-native
|
711ec021b5c73da05611c56c8a35adb0ce3244e4
|
[
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from ... import _utilities
import typing
# Export this package's modules as members:
from ._enums import *
from .attestation_at_resource import *
from .attestation_at_resource_group import *
from .attestation_at_subscription import *
from .get_attestation_at_resource import *
from .get_attestation_at_resource_group import *
from .get_attestation_at_subscription import *
from ._inputs import *
from . import outputs
| 34.529412
| 80
| 0.785349
| 84
| 587
| 5.25
| 0.52381
| 0.181406
| 0.190476
| 0.156463
| 0.505669
| 0.269841
| 0
| 0
| 0
| 0
| 0
| 0.00198
| 0.139693
| 587
| 16
| 81
| 36.6875
| 0.871287
| 0.345826
| 0
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
41e62177bd1a709601202b48e12343235db7af0e
| 15,066
|
py
|
Python
|
python-3-apps/fn_carbon_black_cloud_devices copy/fn_carbon_black_cloud_devices/util/customize.py
|
JayDi11a/Geralds-IBM-SOAR-Integrations
|
0e0eb18adbaf3a266e1dc5a316df7cd5a93f88d0
|
[
"MIT"
] | null | null | null |
python-3-apps/fn_carbon_black_cloud_devices copy/fn_carbon_black_cloud_devices/util/customize.py
|
JayDi11a/Geralds-IBM-SOAR-Integrations
|
0e0eb18adbaf3a266e1dc5a316df7cd5a93f88d0
|
[
"MIT"
] | 1
|
2022-03-06T00:10:13.000Z
|
2022-03-06T00:10:13.000Z
|
python-3-apps/fn_carbon_black_cloud_devices copy/fn_carbon_black_cloud_devices/util/customize.py
|
JayDi11a/Geralds-IBM-SOAR-Integrations
|
0e0eb18adbaf3a266e1dc5a316df7cd5a93f88d0
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Generate the Resilient customizations required for fn_carbon_black_cloud_devices"""
from __future__ import print_function
from resilient_circuits.util import *
def codegen_reload_data():
"""Parameters to codegen used to generate the fn_carbon_black_cloud_devices package"""
reload_params = {"package": u"fn_carbon_black_cloud_devices",
"incident_fields": [],
"action_fields": [],
"function_params": [u"carbon_black_device_query_string", u"incident_id"],
"datatables": [],
"message_destinations": [u"carbon_black_cloud"],
"functions": [u"carbon_black_cloud_devices_quarantine"],
"phases": [],
"automatic_tasks": [],
"scripts": [],
"workflows": [u"example_carbon_black_cloud_devices_quarantine"],
"actions": [u"Example: Run Carbon Black Device Quarantine"],
"incident_artifact_types": []
}
return reload_params
def customization_data(client=None):
"""Produce any customization definitions (types, fields, message destinations, etc)
that should be installed by `resilient-circuits customize`
"""
# This import data contains:
# Function inputs:
# carbon_black_device_query_string
# incident_id
# Message Destinations:
# carbon_black_cloud
# Functions:
# carbon_black_cloud_devices_quarantine
# Workflows:
# example_carbon_black_cloud_devices_quarantine
# Rules:
# Example: Run Carbon Black Device Quarantine
yield ImportDefinition(u"""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"""
)
| 68.171946
| 94
| 0.941192
| 366
| 15,066
| 38.57377
| 0.73224
| 0.010129
| 0.0102
| 0.011404
| 0.024862
| 0.010908
| 0
| 0
| 0
| 0
| 0
| 0.113693
| 0.046064
| 15,066
| 221
| 95
| 68.171946
| 0.868633
| 0.042812
| 0
| 0
| 1
| 0
| 0.95098
| 0.924628
| 0
| 1
| 0
| 0
| 0
| 1
| 0.010256
| false
| 0
| 0.015385
| 0
| 0.030769
| 0.005128
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5114f4b25ec4e0c8cb707af2fb82a273dce0053c
| 10,327
|
py
|
Python
|
monasca-log-api-2.9.0/monasca_log_api/tests/test_logs.py
|
scottwedge/OpenStack-Stein
|
7077d1f602031dace92916f14e36b124f474de15
|
[
"Apache-2.0"
] | null | null | null |
monasca-log-api-2.9.0/monasca_log_api/tests/test_logs.py
|
scottwedge/OpenStack-Stein
|
7077d1f602031dace92916f14e36b124f474de15
|
[
"Apache-2.0"
] | 5
|
2019-08-14T06:46:03.000Z
|
2021-12-13T20:01:25.000Z
|
monasca-log-api-2.9.0/monasca_log_api/tests/test_logs.py
|
scottwedge/OpenStack-Stein
|
7077d1f602031dace92916f14e36b124f474de15
|
[
"Apache-2.0"
] | 2
|
2020-03-15T01:24:15.000Z
|
2020-07-22T20:34:26.000Z
|
# Copyright 2015 kornicameister@gmail.com
# Copyright 2016 FUJITSU LIMITED
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import falcon
import mock
from monasca_log_api.app.base import exceptions as log_api_exceptions
from monasca_log_api.app.controller.api import headers
from monasca_log_api.app.controller.v2 import logs
from monasca_log_api.tests import base
ROLES = 'admin'
def _init_resource(test):
resource = logs.Logs()
test.api.add_route('/log/single', resource)
return resource
class TestApiLogsVersion(base.BaseApiTestCase):
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
def test_should_return_v2_as_version(self, _, __):
logs_resource = logs.Logs()
self.assertEqual('v2.0', logs_resource.version)
class TestApiLogs(base.BaseApiTestCase):
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
def test_should_contain_deprecated_details_in_successful_response(self,
_,
__):
_init_resource(self)
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: 'a:1',
'Content-Type': 'application/json',
'Content-Length': '0'
}
)
self.assertEqual(falcon.HTTP_204, self.srmock.status)
self.assertIn('deprecated', self.srmock.headers_dict)
self.assertIn('link', self.srmock.headers_dict)
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
def test_should_fail_not_delegate_ok_cross_tenant_id(self, _, __):
_init_resource(self)
self.simulate_request(
'/log/single',
method='POST',
query_string='tenant_id=1',
headers={
'Content-Type': 'application/json',
'Content-Length': '0'
}
)
self.assertEqual(falcon.HTTP_401, self.srmock.status)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_pass_empty_cross_tenant_id_wrong_role(self,
log_creator,
kafka_publisher):
logs_resource = _init_resource(self)
logs_resource._log_creator = log_creator
logs_resource._kafka_publisher = kafka_publisher
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: 'a:1',
'Content-Type': 'application/json',
'Content-Length': '0'
}
)
self.assertEqual(falcon.HTTP_204, self.srmock.status)
self.assertEqual(1, kafka_publisher.send_message.call_count)
self.assertEqual(1, log_creator.new_log.call_count)
self.assertEqual(1, log_creator.new_log_envelope.call_count)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_pass_empty_cross_tenant_id_ok_role(self,
log_creator,
kafka_publisher):
logs_resource = _init_resource(self)
logs_resource._log_creator = log_creator
logs_resource._kafka_publisher = kafka_publisher
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: 'a:1',
'Content-Type': 'application/json',
'Content-Length': '0'
}
)
self.assertEqual(falcon.HTTP_204, self.srmock.status)
self.assertEqual(1, kafka_publisher.send_message.call_count)
self.assertEqual(1, log_creator.new_log.call_count)
self.assertEqual(1, log_creator.new_log_envelope.call_count)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_pass_delegate_cross_tenant_id_ok_role(self,
log_creator,
log_publisher):
resource = _init_resource(self)
resource._log_creator = log_creator
resource._kafka_publisher = log_publisher
self.simulate_request(
'/log/single',
method='POST',
query_string='tenant_id=1',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: 'a:1',
'Content-Type': 'application/json',
'Content-Length': '0'
}
)
self.assertEqual(falcon.HTTP_204, self.srmock.status)
self.assertEqual(1, log_publisher.send_message.call_count)
self.assertEqual(1, log_creator.new_log.call_count)
self.assertEqual(1, log_creator.new_log_envelope.call_count)
@mock.patch('monasca_common.rest.utils')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_fail_empty_dimensions_delegate(self, _, rest_utils):
_init_resource(self)
rest_utils.read_body.return_value = True
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: '',
'Content-Type': 'application/json',
'Content-Length': '0'
},
body='{"message":"test"}'
)
self.assertEqual(log_api_exceptions.HTTP_422, self.srmock.status)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_fail_for_invalid_content_type(self, _, __):
_init_resource(self)
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: '',
'Content-Type': 'video/3gpp',
'Content-Length': '0'
}
)
self.assertEqual(falcon.HTTP_415, self.srmock.status)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_pass_payload_size_not_exceeded(self, _, __):
_init_resource(self)
max_log_size = 1000
content_length = max_log_size - 100
self.conf_override(max_log_size=max_log_size, group='service')
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: '',
'Content-Type': 'application/json',
'Content-Length': str(content_length)
}
)
self.assertEqual(falcon.HTTP_204, self.srmock.status)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_fail_payload_size_exceeded(self, _, __):
_init_resource(self)
max_log_size = 1000
content_length = max_log_size + 100
self.conf_override(max_log_size=max_log_size, group='service')
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: '',
'Content-Type': 'application/json',
'Content-Length': str(content_length)
}
)
self.assertEqual(falcon.HTTP_413, self.srmock.status)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_fail_payload_size_equal(self, _, __):
_init_resource(self)
max_log_size = 1000
content_length = max_log_size
self.conf_override(max_log_size=max_log_size, group='service')
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: '',
'Content-Type': 'application/json',
'Content-Length': str(content_length)
}
)
self.assertEqual(falcon.HTTP_413, self.srmock.status)
@mock.patch('monasca_log_api.app.controller.v2.aid.service.LogCreator')
@mock.patch('monasca_log_api.app.base.log_publisher.LogPublisher')
def test_should_fail_content_length(self, _, __):
_init_resource(self)
self.simulate_request(
'/log/single',
method='POST',
headers={
headers.X_ROLES.name: ROLES,
headers.X_DIMENSIONS.name: '',
'Content-Type': 'application/json'
}
)
self.assertEqual(falcon.HTTP_411, self.srmock.status)
| 38.248148
| 75
| 0.610439
| 1,153
| 10,327
| 5.169991
| 0.151778
| 0.02919
| 0.058883
| 0.069787
| 0.783426
| 0.774702
| 0.764301
| 0.757591
| 0.749706
| 0.749706
| 0
| 0.013708
| 0.28653
| 10,327
| 269
| 76
| 38.390335
| 0.795331
| 0.057422
| 0
| 0.678899
| 0
| 0
| 0.203107
| 0.128923
| 0
| 0
| 0
| 0
| 0.105505
| 1
| 0.059633
| false
| 0.018349
| 0.027523
| 0
| 0.100917
| 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
|
511d4a8280c4fd8432a1ca2bdc3c35a73250d03c
| 103
|
py
|
Python
|
src/widgets/search.py
|
Builditluc/youtube-tui
|
5f0411e18b04d74c8377c8426a87242330f05baf
|
[
"MIT"
] | 1
|
2020-08-14T08:04:14.000Z
|
2020-08-14T08:04:14.000Z
|
src/widgets/search.py
|
Builditluc/youtube-tui
|
5f0411e18b04d74c8377c8426a87242330f05baf
|
[
"MIT"
] | null | null | null |
src/widgets/search.py
|
Builditluc/youtube-tui
|
5f0411e18b04d74c8377c8426a87242330f05baf
|
[
"MIT"
] | null | null | null |
import npyscreen
class Search_widget(npyscreen.BoxTitle):
_contained_widget = npyscreen.Textfield
| 20.6
| 43
| 0.825243
| 11
| 103
| 7.454545
| 0.727273
| 0.365854
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116505
| 103
| 5
| 43
| 20.6
| 0.901099
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
51324ff6cb987df632f265cdf9565b396533785e
| 71
|
py
|
Python
|
models/WGANGP/__init__.py
|
MatusBako/MakeFacesGreatAgain
|
e4941a8460db79dec566ed02d4b23eafb416a6db
|
[
"MIT"
] | null | null | null |
models/WGANGP/__init__.py
|
MatusBako/MakeFacesGreatAgain
|
e4941a8460db79dec566ed02d4b23eafb416a6db
|
[
"MIT"
] | null | null | null |
models/WGANGP/__init__.py
|
MatusBako/MakeFacesGreatAgain
|
e4941a8460db79dec566ed02d4b23eafb416a6db
|
[
"MIT"
] | null | null | null |
from .solver import Solver
from .model import Generator, Discriminator
| 23.666667
| 43
| 0.830986
| 9
| 71
| 6.555556
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126761
| 71
| 2
| 44
| 35.5
| 0.951613
| 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
|
5ad1cfbb6e378c467c19b5828039c01965f17cf7
| 789
|
py
|
Python
|
metaflow/tests/flows/step_counter_flow.py
|
celsiustx/metaflow
|
53b72aac978c429ced680ebbd222c1056425ad9c
|
[
"Apache-2.0"
] | 1
|
2022-01-07T22:32:27.000Z
|
2022-01-07T22:32:27.000Z
|
metaflow/tests/flows/step_counter_flow.py
|
celsiustx/metaflow
|
53b72aac978c429ced680ebbd222c1056425ad9c
|
[
"Apache-2.0"
] | null | null | null |
metaflow/tests/flows/step_counter_flow.py
|
celsiustx/metaflow
|
53b72aac978c429ced680ebbd222c1056425ad9c
|
[
"Apache-2.0"
] | null | null | null |
from metaflow.plugins import STEP_DECORATORS
from metaflow.tests.flows import NewLinearFlow
from metaflow.tests.step_counter import StepCounter
STEP_DECORATORS.append(StepCounter)
class StepCounterFlow(NewLinearFlow):
"""Example flow that can receive `--with step_counter` from the CLI
In order for `--with my_decorator` to work on the CLI, `my_decorator` needs to added to `STEP_DECORATORS`, as above.
I don't know of a good way to accomplish that other than making a trivial flow (`StepCounterFlow` here) that just
mixes in the target flow (`NewLinearFlow`) in a file that appends the decorator (`StepCounter`) to `STEP_DECORATORS.
TODO: formalize an API for registering step- and flow-decorators without having to define a new flow like this.
"""
pass
| 41.526316
| 120
| 0.766793
| 116
| 789
| 5.146552
| 0.568966
| 0.093802
| 0.056951
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168568
| 789
| 18
| 121
| 43.833333
| 0.910061
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0
| 1
| 0
| true
| 0.166667
| 0.5
| 0
| 0.666667
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
850ad0531bb9ed71bd450d1f5c0a1325b05e357a
| 95
|
py
|
Python
|
app/services/__init__.py
|
8by8-org/usvotes
|
e2af8b2d8b986bf36804bae1c784bc78b54dc412
|
[
"MIT"
] | 10
|
2018-08-28T13:35:27.000Z
|
2021-07-17T18:01:04.000Z
|
app/services/__init__.py
|
8by8-org/usvotes
|
e2af8b2d8b986bf36804bae1c784bc78b54dc412
|
[
"MIT"
] | 253
|
2018-05-14T14:51:35.000Z
|
2021-07-23T00:49:04.000Z
|
app/services/__init__.py
|
8by8-org/usvotes
|
e2af8b2d8b986bf36804bae1c784bc78b54dc412
|
[
"MIT"
] | 5
|
2019-09-05T15:10:32.000Z
|
2021-09-30T23:37:04.000Z
|
from .session_manager import SessionManager
from .form_filler_service import FormFillerService
| 31.666667
| 50
| 0.894737
| 11
| 95
| 7.454545
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084211
| 95
| 2
| 51
| 47.5
| 0.942529
| 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
|
51a15d8905428f8a6d9649752d435e65b542c9bc
| 21,506
|
py
|
Python
|
explicit.py
|
ArtemBernatskyy/TrueModer
|
b5027e6a413fdce4ef2fba0128e865d4bd8e1bd5
|
[
"MIT"
] | null | null | null |
explicit.py
|
ArtemBernatskyy/TrueModer
|
b5027e6a413fdce4ef2fba0128e865d4bd8e1bd5
|
[
"MIT"
] | null | null | null |
explicit.py
|
ArtemBernatskyy/TrueModer
|
b5027e6a413fdce4ef2fba0128e865d4bd8e1bd5
|
[
"MIT"
] | null | null | null |
import logging
import re
logger = logging.getLogger(f'TrueModer.{__name__}')
my_patterns = (
r'^(\w*бля\w*)$',
r'([нпз]?[?аео]?[хк]у[йеё]\w*)',
r'\w*п[иi]зд\w*'
)
external_patterns = (
# основной фильтр
# '(?:\w*(?:[хxh](?:[уyu][иiu])|[пnp][еиeiu](?:[з3z][дd]|[дd](?:[еаоeoa0][рpr]|[рpr]))|[бb6][лl]я[дd]|[оo0][хxh][уyu]'
# '[еe]|[мm][уyu][дd][еоиаeioau0]|[дd][еe][рpr][ьb]|[гrg][аоoa0][вbv][нhn]|[уyu][еёe][бb6])|[хxh][\W_]*(?:[уyu][\W_]*'
# '[йиеёяeiju])|[пnp][\W_]*[еиeiu][\W_]*(?:[з3z][\W_]*[дd]|[дd][\W_]*(?:[еаоeoa0][\W_]*[рpr]|[рpr]))|[бb6][\W_]*[лl]'
# '[\W_]*я[\W_]*[дd]|[оo0][\W_]*[хxh][\W_]*[уyu][\W_]*[еe]|[мm][\W_]*[уyu][\W_]*[дd][\W_]*[еоиаeioau0]|[дd][\W_]*[еe]'
# '[\W_]*[рpr][\W_]*[ьb]|[гrg][\W_]*[аоoa0][\W_]*[вbv][\W_]*[нhn]|[уyu][\W_]*[еёe][\W_]*[бb6]|[ёеe][бb6])\w+',
# жоп*
'ж[\W_]*(?:[оo0][\W_]*[пnp][\W_]*(?:[аa]|[oо0](?:[\W_]*[хxh])?|[уеыeyiuё]|[оo0][\W_]*[йj])\w*)',
# дерьмо
'[дd][\W_]*[еe][\W_]*[рpr][\W_]*(?:[ьb][\W_]*)?[мm][\W_]*[оуеаeoya0u](?:[\W_]*[мm])?',
# чмо, чмырь
'[чc][\W_]*[мm][\W_]*(?:[оo0]|[ыi][\W_]*[рpr][\W_]*[еиьяeibu])',
# сука, сучка
'[сsc][\W_]*[уuy][\W_]*(?:(?:[чc][\W_]*)?[кk][\W_]*[ауиiyau](?:[\W_]*[нhn](?:[\W_]*[оo0][\W_]*[йj]|[\W_]*[уаыyiau])'
'?)?|[чc][\W_]*(?:(?:[ьb][\W_]*)?(?:[еёяиeiu]|[еиeiu][\W_]*[йj])|[аa][\W_]*[рpr][\W_]*[ыауеeyiau]))',
# гондон
'[гrg][\W_]*(?:[аоoa0][\W_]*(?:[нhn][\W_]*[дd][\W_]*[аоoa0][\W_]*[нhn](?:[\W_]*[ыуyiu])?|[вbv][\W_]*[нhn][\W_]*'
'[оаoa0](?:[\W_]*(?:[мm]|[еe][\W_]*[дd](?:[\W_]*[ыуаеeyiau]|[\W_]*[оаoa0][\W_]*[мm](?:[\W_]*[иiu])?)?))?)|[нhn]'
'[\W_]*(?:[иiu][\W_]*[дd][\W_]*(?:[ыуеаeyiau]|[оo0][\W_]*[йj])|[уyu][сsc](?:[\W_]*[аыуyiau]|[\W_]*[оаoa0][\W_]*'
'[мm](?:[\W_]*[иiu])?)?))',
# *еб*
'(?:[нhn][\W_]*[еe][\W_]*)?(?:(?:[з3z][\W_]*[аa]|[оo0][тt]|[пnp][\W_]*[оo0]|[пnp][\W_]*(?:[еe][\W_]*[рpr][\W_]*[еe]|[рpr][\W_]*[оеиeiou0]|[иiu][\W_]*[з3z][\W_]*[дd][\W_]*[оo0])|[нhn][\W_]*[аa]|[иiu][\W_]*[з3z]|[дd][\W_]*[оo0]|[вbv][\W_]*[ыi]|[уyu]|[рpr][\W_]*[аa][\W_]*[з3z]|[з3z][\W_]*[лl][\W_]*[оo0]|[тt][\W_]*[рpr][\W_]*[оo0]|[уyu])[\W_]*)?(?:[вbv][\W_]*[ыi][\W_]*)?(?:[ъьb][\W_]*)?(?:[еёe][\W_]*[бb6](?:(?:[\W_]*[оеёаиуeioyau0])?(?:[\W_]*[нhn](?:[\W_]*[нhn])?[\W_]*[яуаиьiybau]?)?(?:[\W_]*[вbv][\W_]*[аa])?(?:(?:[\W_]*(?:[иеeiu]ш[\W_]*[ьb][\W_]*[сsc][\W_]*я|[тt][\W_]*(?:(?:[ьb][\W_]*)?[сsc][\W_]*я|[ьb]|[еe][\W_]*[сsc][\W_]*[ьb]|[еe]|[оo0]|[иiu][\W_]*[нhn][\W_]*[уыеаeyiau])|(?:щ[\W_]*(?:[иiu][\W_]*[йj]|[аa][\W_]*я|[иеeiu][\W_]*[еe]|[еe][\W_]*[гrg][\W_]*[оo0])|ю[\W_]*[тt])(?:[\W_]*[сsc][\W_]*я)?|[еe][\W_]*[мтmt]|[кk](?:[\W_]*[иаiau])?|[аa][\W_]*[лl](?:[\W_]*[сsc][\W_]*я)?|[лl][\W_]*(?:[аa][\W_]*[нhn]|[оаoa0](?:[\W_]*[мm])?|(?:[иiu][\W_]*)?[сsc][\W_]*[ьяb]|[иiu]|[аa][\W_]*[сsc][\W_]*[ьb])|[рpr][\W_]*[ьb]|[сsc][\W_]*[яьb]|[нhn][\W_]*[оo0]|[чc][\W_]*(?:[иiu][\W_]*[хxh]|[еe][\W_]*[сsc][\W_]*[тt][\W_]*[ьиibu](?:[\W_]*ю)?)|(?:[тt][\W_]*[еe][\W_]*[лl][\W_]*[ьb][\W_]*[сsc][\W_]*[кk][\W_]*|[сsc][\W_]*[тt][\W_]*|[лl][\W_]*[иiu][\W_]*[вbv][\W_]*|[чтtc][\W_]*)?(?:[аa][\W_]*я|[оo0][\W_]*[йемejm]|[ыi][\W_]*[хйеejxh]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[иiu][\W_]*[еe]|[оo0][\W_]*[мm][\W_]*[уyu]|[иiu][\W_]*[йj]|[еe][\W_]*[вbv]|[иiu][\W_]*[мm](?:[\W_]*[иiu])?)|[чтыйилijltcu]))?)|[\W_]*[ыi](?:(?:[\W_]*[вbv][\W_]*[аa]|[\W_]*[нhn](?:[\W_]*[нhn])?)(?:(?:[\W_]*(?:[иеeiu]ш[\W_]*[ьb][\W_]*[сsc][\W_]*я|[тt][\W_]*(?:[ьb][\W_]*[сsc][\W_]*я|[ьb]|[еe][\W_]*[сsc][\W_]*[ьb]|[еe]|[иiu][\W_]*[нhn][\W_]*[уыеаeyiau])|(?:щ[\W_]*(?:[иiu][\W_]*[йj]|[аa][\W_]*я|[иеeiu][\W_]*[еe]|[еe][\W_]*[гrg][\W_]*[оo0])|ю[\W_]*[тt])(?:[\W_]*[сsc][\W_]*я)?|[еe][\W_]*[мтmt]|[лl][\W_]*(?:(?:[иiu][\W_]*)?[сsc][\W_]*[ьяb]|[иiu]|[аa][\W_]*[сsc][\W_]*[ьb])|(?:[сsc][\W_]*[тt][\W_]*|[лl][\W_]*[иiu][\W_]*[вbv][\W_]*|[чтtc][\W_]*)?(?:[аa][\W_]*я|[оo0][\W_]*[йемejm]|[ыi][\W_]*[хйеejxh]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[иiu][\W_]*[еe]|[оo0][\W_]*[мm][\W_]*[уyu]|[иiu][\W_]*[йj]|[еe][\W_]*[вbv]|[иiu][\W_]*[мm](?:[\W_]*[иiu])?))))|[рpr][\W_]*[ьb]))|я[\W_]*[бb6](?:[\W_]*[оеёаиуeioyau0])?(?:(?:[\W_]*[нhn](?:[\W_]*[нhn])?[\W_]*[яуаиьiybau]?)?(?:(?:[\W_]*(?:[иеeiu]ш[\W_]*[ьb][\W_]*[сsc][\W_]*я|[тt][\W_]*(?:[ьb][\W_]*[сsc][\W_]*я|[ьb]|[еe][\W_]*[сsc][\W_]*[ьb]|[еe]|[иiu][\W_]*[нhn][\W_]*[уыеаeyiau])|(?:щ[\W_]*(?:[иiu][\W_]*[йj]|[аa][\W_]*я|[иеeiu][\W_]*[еe]|[еe][\W_]*[гrg][\W_]*[оo0])|ю[\W_]*[тt])(?:[\W_]*[сsc][\W_]*я)?|[еe][\W_]*[мтmt]|[кk](?:[\W_]*[иаiau])?|[аa][\W_]*[лl](?:[\W_]*[сsc][\W_]*я)?|[лl][\W_]*(?:[аa][\W_]*[нhn]|[оаoa0](?:[\W_]*[мm])?|(?:[иiu][\W_]*)?[сsc][\W_]*[ьяb]|[иiu])|[рpr][\W_]*[ьb]|[сsc][\W_]*[яьb]|[нhn][\W_]*[оo0]|[чc][\W_]*(?:[иiu][\W_]*[хxh]|[еe][\W_]*[сsc][\W_]*[тt][\W_]*[ьиibu](?:[\W_]*ю)?)|(?:[тt][\W_]*[еe][\W_]*[лl][\W_]*[ьb][\W_]*[сsc][\W_]*[кk][\W_]*|[сsc][\W_]*[тt][\W_]*|[лl][\W_]*[иiu][\W_]*[вbv][\W_]*|[чтtc][\W_]*)?(?:[аa][\W_]*я|[оo0][\W_]*[йемejm]|[ыi][\W_]*[хйеejxh]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[иiu][\W_]*[еe]|[оo0][\W_]*[мm][\W_]*[уyu]|[иiu][\W_]*[йj]|[еe][\W_]*[вbv]|[иiu][\W_]*[мm](?:[\W_]*[иiu])?)|[чмйилijlmcu]))|(?:[\W_]*[нhn](?:[\W_]*[нhn])?[\W_]*[яуаиьiybau]?)))|я[\W_]*[бb6][\W_]*(?:[еёаиуeiyau][\W_]*)?(?:[нhn][\W_]*(?:[нhn][\W_]*)?(?:[яуаиьiybau][\W_]*)?)?[тt])'
# *выебан*
'\w*[вbv][\W_]*([ыиiu]+[\W_]*[еёe]+[\W_]*[бb6][\W_]*[аоoa0][\W_]*[нhn])\w*',
# (с,об)ьеб*
'([сsc]|[оo0][\W_]*[бb6])[\W_]*[ьъb][\W_]*[еяёe][\W_]*[бb6][\W_]*(?:([уyu]|[оo0][\W_]*[сз3szc])|(?:[еиёауeiyau](?:[\W_]*[лl](?:[\W_]*[иоаioau0])?|[\W_]*ш[\W_]*[ьb]|[\W_]*[тt][\W_]*[еe])?(?:[\W_]*[сsc][\W_]*[ьяb])?))',
# еб*
'[еe][\W_]*(?:[бb6][\W_]*(?:[уyu][\W_]*[кk][\W_]*[еe][\W_]*[нhn][\W_]*[тt][\W_]*[иiu][\W_]*[йj]|[еe][\W_]*[нhn][\W_]*(?:[ьb]|я(?:[\W_]*[мm])?)|[иiu][\W_]*(?:[цc][\W_]*[кk][\W_]*[аa][\W_]*я|[чc][\W_]*[еe][\W_]*[сsc][\W_]*[кk][\W_]*[аa][\W_]*я)|[лl][\W_]*[иiu][\W_]*щ[\W_]*[еe]|[аa][\W_]*(?:[лl][\W_]*[ьb][\W_]*[нhn][\W_]*[иiu][\W_]*[кk](?:[\W_]*[иаiau])?|[тt][\W_]*[оo0][\W_]*[рpr][\W_]*[иiu][\W_]*[йj]|[нhn][\W_]*(?:[тt][\W_]*[рpr][\W_]*[оo0][\W_]*[пnp]|[аa][\W_]*[тt][\W_]*[иiu][\W_]*(?:[кk]|[чc][\W_]*[еe][\W_]*[сsc][\W_]*[кk][\W_]*[иiu][\W_]*[йj]))))|[дd][\W_]*[рpr][\W_]*[иiu][\W_]*[тt])',
# невротъебательск*
'[нhn][\W_]*[еe][\W_]*[вbv][\W_]*[рpr][\W_]*[оo0][\W_]*[тt][\W_]*ъ[\W_]*[еe][\W_]*[бb6][\W_]*[аa][\W_]*[тt][\W_]*[еe][\W_]*[лl][\W_]*[ьb][\W_]*[сsc][\W_]*[кk][\W_]*[иiu][\W_]*(?:[ыиiu][\W_]*[йj]|[аa][\W_]*я|[оo0][\W_]*[ейej]|[ыi][\W_]*[хxh]|[ыi][\W_]*[еe]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[оo0][\W_]*[мm][\W_]*[уyu])',
# уёбищ*
'[уyu][\W_]*(?:[ёеe][\W_]*[бb6][\W_]*(?:[иiu][\W_]*щ[\W_]*[еаea]|[аa][\W_]*[нhn](?:[\W_]*[тt][\W_]*[уyu][\W_]*[сsc])?(?:[\W_]*[аоoa0][\W_]*[вмbmv]|[\W_]*[ыуеаeyiau])?)|[рpr][\W_]*[оo0][\W_]*[дd](?:[\W_]*[аоoa0][\W_]*[вмbmv]|[\W_]*[ыуеаeyiau])?|[бb6][\W_]*[лl][\W_]*ю[\W_]*[дd][\W_]*(?:[оo0][\W_]*[кk]|[кk][\W_]*(?:[аоoa0][\W_]*[вмbmv](?:[\W_]*[иiu])?|[иуеаeiyau])?))',
# муд*
'[мm][\W_]*(?:[уyu][\W_]*[дd][\W_]*(?:[оo0][\W_]*[хxh][\W_]*[аa][\W_]*(?:[тt][\W_]*[ьb][\W_]*[сsc][\W_]*я|ю[\W_]*[сsc][\W_]*[ьb]|[еe][\W_]*ш[\W_]*[ьb][\W_]*[сsc][\W_]*я)|[аa][\W_]*(?:[кk](?:[\W_]*[иаiau]|[оo0][мвbmv])?|[чc][\W_]*(?:[ьb][\W_]*[еёe]|[иiu][\W_]*[нhn][\W_]*[уыаyiau]|[кk][\W_]*(?:[аиеуeiyau]|[оo0][\W_]*[йj])))|[еe][\W_]*[нhn][\W_]*[ьb]|[иiu][\W_]*[лl](?:[\W_]*[аеоыeoia0]?))|[аa][\W_]*[нhn][\W_]*[дd][\W_]*[уаyau]|[лl][\W_]*(?:[иiu][\W_]*[нhn]|я))',
# (мозг/долб/скот/...)(хуй|еб)|ство
'(?:[мm][\W_]*(?:[оo0][\W_]*[з3z][\W_]*[гrg]|[уyu][\W_]*[дd])|[дd][\W_]*(?:[оo0][\W_]*[лl][\W_]*[бb6]|[уyu][\W_]*[рpr])|[сsc][\W_]*[кk][\W_]*[оo0][\W_]*[тt])[\W_]*[аоoa0][\W_]*(?:[хxh][\W_]*[уyu][\W_]*[ийяiju]|[ёеe][\W_]*[бb6](?:[\W_]*[еоeo0][\W_]*[вbv]|[\W_]*[ыаia]|[\W_]*[сsc][\W_]*[тt][\W_]*[вbv][\W_]*[оуoy0u](?:[\W_]*[мm])?|[иiu][\W_]*[з3z][\W_]*[мm])?)',
# *пизд/еб*
'(?:[нhn][\W_]*[еe][\W_]*|[з3z][\W_]*[аa][\W_]*|[оo0][\W_]*[тt][\W_]*|[пnp][\W_]*[оo0][\W_]*|[нhn][\W_]*[аa][\W_]*|[рpr][\W_]*[аa][\W_]*[сз3szc][\W_]*)?(?:[пnp][\W_]*[иiu][\W_]*[з3z][\W_]*[дd][\W_]*[ияеeiu]|(?:ъ)?[еёe][\W_]*[бb6][\W_]*[аa])[\W_]*(?:(?:([тt][\W_]*[ьb]|[лl])[\W_]*[сsc][\W_]*я|[тt][\W_]*[ьb]|[лl][\W_]*[иiu]|[аa][\W_]*[лl]|[лl]|c[\W_]*[ьb]|[иiu][\W_]*[тt]|[иiu]|[тt][\W_]*[еe]|[чc][\W_]*[уyu]|ш[\W_]*[ьb])|(?:[йяиiju]|[иеeiu][\W_]*[мm](?:[\W_]*[иiu])?|[йj][\W_]*[сsc][\W_]*(?:[кk][\W_]*(?:[ыиiu][\W_]*[йеej]|[аa][\W_]*я|[оo0][\W_]*[еe]|[ыi][\W_]*[хxh]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[оo0][\W_]*[мm][\W_]*[уyu])|[тt][\W_]*[вbv][\W_]*[оуаoya0u](?:[\W_]*[мm])?)))',
# пидор*
'[пnp][\W_]*[еиыeiu][\W_]*[дd][\W_]*[аеэоeoa0][\W_]*[рpr](?:(?:[\W_]*[аa][\W_]*[сз3szc](?:(?:[\W_]*[тt])?(?:[\W_]*[ыi]|[\W_]*[оаoa0][\W_]*[мm](?:[\W_]*[иiu])?|[\W_]*[кk][\W_]*[аиiau])?|(?:[\W_]*[ыуаеeyiau]|[\W_]*[оаoa0][\W_]*[мm](?:[\W_]*[иiu])?|[\W_]*[оo0][\W_]*[вbv])))|[\W_]*(?:[ыуаеeyiau]|[оаoa0][\W_]*[мm](?:[\W_]*[иiu])?|[оo0][\W_]*[вbv]|[нhn][\W_]*я))?',
# пизд*
'[пnp][\W_]*[иiu][\W_]*[з3z][\W_]*(?:[ьb][\W_]*)?[дd][\W_]*(?:[ёеe][\W_]*(?:[нhn][\W_]*[ыi][\W_]*ш(?:[\W_]*[ьb])?|'
'[шнжhn](?:[\W_]*[ьb])?)|[уyu][\W_]*(?:[йj](?:[\W_]*[тt][\W_]*[еe])?|[нhn](?:[\W_]*[ыi])?)|ю[\W_]*(?:[кk](?:[\W_]*'
'(?:[аеуиeiyau]|[оo0][\W_]*[вbv]|[аa][\W_]*[мm](?:[\W_]*[иiu])?))?|[лl](?:[ьиibu]|[еe][\W_]*[йj]|я[\W_]*[хмmxh]))|'
'[еe][\W_]*[цc]|[аоoa0][\W_]*(?:[нhn][\W_]*[уyu][\W_]*)?[тt][\W_]*(?:[иiu][\W_]*[йj]|[аa][\W_]*я|[оo0](?:[\W_]*'
'[ейej])?|[ыi][\W_]*[ейхejxh]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[оo0][\W_]*[мm][\W_]*[уyu]|[еe][\W_]*'
'[еe]|[ауьеыeyibau])|[аa][\W_]*[нhn][\W_]*[уyu][\W_]*[лl](?:[\W_]*[аиiau])?|[ыеуиаeiyau]|[оаoa0][\W_]*(?:[йj]|'
'[хxh][\W_]*[уyu][\W_]*[йj]|[еёe][\W_]*[бb6]|(?:[рpr][\W_]*[оo0][\W_]*[тt]|[гrg][\W_]*[оo0][\W_]*[лl][\W_]*[оo0]'
'[\W_]*[вbv])[\W_]*(?:[ыиiu][\W_]*[йj]|[аa][\W_]*я|[оo0][\W_]*[ейej]|[ыi][\W_]*[хxh]|[ыi][\W_]*[еe]|[ыi][\W_]*[мm]'
'(?:[\W_]*[иiu])?|[уyu][\W_]*ю|[оo0][\W_]*[мm][\W_]*[уyu])|[бb6][\W_]*(?:[рpr][\W_]*[аa][\W_]*[тt][\W_]*[иiu][\W_]'
'*я|[оo0][\W_]*[лl](?:[\W_]*[аыуyiau])?)))',
# падл*
'[пnp][\W_]*(?:[аa][\W_]*[дd][\W_]*[лl][\W_]*[аоыoia0]|[оаoa0][\W_]*[сsc][\W_]*[кk][\W_]*[уyu][\W_]*[дd][\W_]*(?:[ыуаеeyiau]|[оаoa0][\W_]*[мm](?:[\W_]*[иiu])?)|[иеeiu][\W_]*[дd][\W_]*(?:[иiu][\W_]*[кk]|[рpr][\W_]*[иiu][\W_]*[лl](?:[\W_]*[лl])?)(?:[\W_]*[оаoa0][\W_]*[мвbmv]|[\W_]*[иуеоыаeioyau0])?|[рpr][\W_]*[оo0][\W_]*[бb6][\W_]*[лl][\W_]*я[\W_]*[дd][\W_]*[оo0][\W_]*[мm])',
# *срать*
'(?:[з3z][\W_]*[аa][\W_]*|[оo0][\W_]*[тt][\W_]*|[нhn][\W_]*[аa][\W_]*)?[сsc][\W_]*[рpr][\W_]*(?:[аa][\W_]*[тt][\W_]*[ьb]|[аa][\W_]*[лl](?:[\W_]*[иiu])?|[eуиiyu])',
# срак*
'[сsc][\W_]*[рpr][\W_]*[аa][\W_]*(?:[кk][\W_]*(?:[аеиуeiyau]|[оo0][\W_]*[йj])|[нhn](?:[\W_]*[нhn])?(?:[ьb]|(?:[\W_]*[ыi][\W_]*[йеej]|[\W_]*[аa][\W_]*я|[\W_]*[оo0][\W_]*[еe]))|[лl][\W_]*[ьb][\W_]*[нhn][\W_]*[иiu][\W_]*[кk](?:[\W_]*[иiu]|[\W_]*[оаoa0][\W_]*[мm])?)',
# *трах*
'(?:[з3z][\W_]*[аa][\W_]*)?[тt][\W_]*[рpr][\W_]*[аa][\W_]*[хxh][\W_]*(?:[нhn][\W_]*(?:[уyu](?:[\W_]*[тt][\W_]*[ьb](?:[\W_]*[сsc][\W_]*я)?|[\W_]*[сsc][\W_]*[ьb]|[\W_]*[лl](?:[\W_]*[аиiau])?)?|[еиeiu][\W_]*ш[\W_]*[ьb][\W_]*[сsc][\W_]*я)|[аa][\W_]*(?:[лl](?:[\W_]*[аоиioau0])?|[тt][\W_]*[ьb](?:[\W_]*[сsc][\W_]*я)?|[нhn][\W_]*(?:[нhn][\W_]*)?(?:[ыиiu][\W_]*[йj]|[аa][\W_]*я|[оo0][\W_]*[йеej]|[ыi][\W_]*[хxh]|[ыi][\W_]*[еe]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[оo0][\W_]*[мm][\W_]*[уyu])))',
# *хуй*
'(?:[нhn][\W_]*[иеeiu][\W_]*|[пnp][\W_]*[оo0][\W_]*|[нhn][\W_]*[аa][\W_]*|[оаoa0][\W_]*(?:[тt][\W_]*)?|[дd][\W_]*[аоoa0][\W_]*|[з3z][\W_]*[аa][\W_]*)?(?:(?:[хxh][\W_]*(?:[еиeiu][\W_]*(?:[йj][\W_]*)?[рpr]|[уyu](?:[\W_]*[йj])?))(?:[\W_]*[еоёeo0][\W_]*[вbv](?:[\W_]*[аa][\W_]*ю[\W_]*щ|[\W_]*ш)?)?(?:[\W_]*[аиеeiau][\W_]*[лнlhn])?(?:[нhn])?(?:[\W_]*(?:[иаоёяыеeioau0][юяиевмйbeijmvu]|я[\W_]*(?:[мm](?:[\W_]*[иiu])?|[рpr][\W_]*(?:ю|[иiu][\W_]*(?:[тt](?:[\W_]*[ьеeb][\W_]*[сsc][\W_]*[яьb])?|[лl](?:[\W_]*[иоаioau0])?))|[чc][\W_]*(?:[аиiau][\W_]*[тt](?:[\W_]*[сsc][\W_]*я)|[иiu][\W_]*[лl](?:[\W_]*[иоаioau0])?)|[чc](?:[\W_]*[ьb])?)|[еe][\W_]*(?:[тt][\W_]*(?:[оo0][\W_]*[йj]|[аьуybau])|[еe][\W_]*(?:[тt][\W_]*[еe]|ш[\W_]*[ьb]))|[аыоуяюйиijoyau0]|[лl][\W_]*[иоiou0]|[чc][\W_]*[уyu])))',
# хуй
'(?:[хxh][\W_]*(?:[еиeiu][\W_]*(?:[йj][\W_]*)?[рpr]|[уyu][\W_]*[йj]))',
# хуеc*
'[хxh][\W_]*[уyu][\W_]*(?:[еёиeiu][\W_]*(?:[сsc][\W_]*[оo0][\W_]*[сsc]|[пnp][\W_]*[лl][\W_]*[еe][\W_]*[тt]|[нhn][\W_]*[ыi][\W_]*ш)(?:[\W_]*[аыуyiau]|[\W_]*[оаoa0][\W_]*[мm](?:[\W_]*[иiu])?|[нhn][\W_]*(?:[ыиiu][\W_]*[йj]|[аa][\W_]*я|[оo0][\W_]*[йеej]|[ыi][\W_]*[хxh]|[ыi][\W_]*[еe]|[ыi][\W_]*[мm](?:[\W_]*[иiu])?|[уyu][\W_]*ю|[оo0][\W_]*[мm][\W_]*[уyu]))?|[дd][\W_]*[оo0][\W_]*ё[\W_]*[бb6][\W_]*[иiu][\W_]*[нhn][\W_]*(?:[оo0][\W_]*[йj]|[аеыуeyiau]))',
# бляд*
'(\w*[бb6][\W_]*[лl][\W_]*(я|[еe][аa])(?:[\W_]*[дтdt][ьъ]?[\W_]*(?:[ьb]|[иiu]|[кk][\W_]*[иiu]|[сsc][\W_]*[тt][\W_]*[вbv][\W_]*[оo0]|[сsc][\W_]*[кk][\W_]*(?:[оo0][\W_]*[ейej]|[иiu][\W_]*[еe]|[аa][\W_]*я|[иiu][\W_]*[йj]|[оo0][\W_]*[гrg][\W_]*[оo0])))?)',
# выбляд*
'[вbv][\W_]*[ыi][\W_]*[бb6][\W_]*[лl][\W_]*я[\W_]*[дd][\W_]*(?:[оo0][\W_]*[кk]|[кk][\W_]*(?:[иуаеeiyau]|[аa][\W_]*[мm](?:[\W_]*[иiu])?))',
# западл*
'(?:[з3z][\W_]*[аоoa0][\W_]*)(?:[пnp][\W_]*[аоoa0][\W_]*[дd][\W_]*[лl][\W_]*[оыаoia0]|[лl][\W_]*[уyu][\W_]*[пnp][\W_]*(?:[оo0][\W_]*[йj]|[аеыуeyiau]))',
# шлюх*
'ш[\W_]*[лl][\W_]*ю[\W_]*[хxh][\W_]*(?:[ауеиeiyau]|[оo0][\W_]*[йj])',
# анус*
'[аa][\W_]*[нhn][\W_]*[уyu][сsc](?:[\W_]*[еаыуeyiau]|[\W_]*[оo0][\W_]*[мm])?',
)
explicit_list = (
"нехуй", "мудило",
"6ля", "6лядь", "6лять", "b3ъeб", "cock", "cunt", "e6aль", "ebal", "eblan", "eбaл", "eбaть", "eбyч", "eбать",
"eбёт", "eблантий", "fuck", "fucker", "fucking", "xyёв", "xyй", "xyя", "xуе", "xуй", "xую", "zaeb", "zaebal",
"zaebali", "zaebat", "архипиздрит", "ахуел", "ахуеть", "бздение", "бздеть", "бздех", "бздецы", "бздит",
"бздицы",
"бздло", "бзднуть", "бздун", "бздунья", "бздюха", "бздюшка", "бздюшко", r"бля", "блябу", "блябуду", "бляд",
"бляди",
"блядина", "блядище", "блядки", "блядовать", "блядство", "блядун", "блядуны", "блядунья", "блядь", "блядюга",
"блять", "вафел", "вафлёр", "взъебка", "взьебка", "взьебывать", "въеб", "въебался", "въебенн", "въебусь",
"въебывать", "выблядок", "выблядыш", "выеб", "выебать", "выебен", "выебнулся", "выебон", "выебываться",
"выпердеть",
"высраться", "выссаться", "вьебен", "гавно", "гавнюк", "гавнючка", "гамно", "гандон", "гнид", "гнида", "гниды",
"говенка", "говенный", "говешка", "говназия", "говнецо", "говнище", "говно", "говноед", "говнолинк",
"говночист",
"говнюк", "говнюха", "говнядина", "говняк", "говняный", "говнять", "гондон", "доебываться", "долбоеб",
"долбоёб",
"долбоящер", "дрисня", "дрист", "дристануть", "дристать", "дристун", "дристуха", "дрочелло", "дрочена",
"дрочила",
"дрочилка", "дрочистый", "дрочить", "дрочка", "дрочун", "е6ал", "е6ут", "еб твою мать", "ёб твою мать", "ёбaн",
"ебaть", "ебyч", "ебал", "ебало", "ебальник", "ебан", "ебанамать", "ебанат", "ебаная", "ёбаная", "ебанический",
"ебанный", "ебанныйврот", "ебаное", "ебануть", "ебануться", "ёбаную", "ебаный", "ебанько", "ебарь", "ебат",
"ёбат",
"ебатория", "ебать", "ебать-копать", "ебаться", "ебашить", "ебёна", "ебет", "ебёт", "ебец", "ебик", "ебин",
"ебись",
"ебическая", "ебки", "ебла", "еблан", "ебливый", "еблище", "ебло", "еблыст", "ебля", "ёбн", "ебнуть",
"ебнуться",
"ебня", "ебошить", "ебская", "ебский", "ебтвоюмать", "ебун", "ебут", "ебуч", "ебуче", "ебучее", "ебучий",
"ебучим",
"ебущ", "ебырь", "елда", "елдак", "елдачить", "жопа", "жопу", "заговнять", "задрачивать", "задристать",
"задрота",
"зае6", "заё6", "заеб", "заёб", "заеба", "заебал", "заебанец", "заебастая", "заебастый", "заебать", "заебаться",
"заебашить", "заебистое", "заёбистое", "заебистые", "заёбистые", "заебистый", "заёбистый", "заебись",
"заебошить",
"заебываться", "залуп", "залупа", "залупаться", "залупить", "залупиться", "замудохаться", "запиздячить",
"засерать",
"засерун", "засеря", "засирать", "засрун", "захуячить", "заябестая", "злоеб", "злоебучая", "злоебучее",
"злоебучий",
"ибанамат", "ибонех", "изговнять", "изговняться", "изъебнуться", "ипать", "ипаться", "ипаццо",
"Какдвапальцаобоссать", "конча", "курва", "курвятник", "лох", "лошарa", "лошара", "лошары", "лошок", "лярва",
"малафья", "манда", "мандавошек", "мандавошка", "мандавошки", "мандей", "мандень", "мандеть", "мандища",
"мандой",
"манду", "мандюк", "минет", "минетчик", "минетчица", "млять", "мокрощелка", "мокрощёлка", "мразь", "мудak",
"мудaк",
"мудаг", "мудак", "муде", "мудель", "мудеть", "муди", "мудил", "мудила", "мудистый", "мудня", "мудоеб",
"мудозвон",
"мудоклюй", "на хер", "на хуй", "набздел", "набздеть", "наговнять", "надристать", "надрочить", "наебать",
"наебет",
"наебнуть", "наебнуться", "наебывать", "напиздел", "напиздели", "напиздело", "напиздили", "насрать",
"настопиздить",
"нахер", "нахрен", "нахуй", "нахуйник", "не ебет", "не ебёт", "невротебучий", "невъебенно", "нехира", "нехрен",
"Нехуй", "нехуйственно", "ниибацо", "ниипацца", "ниипаццо", "ниипет", "никуя", "нихера", "нихуя",
"обдристаться",
"обосранец", "обосрать", "обосцать", "обосцаться", "обсирать", "объебос", "обьебать", "обьебос", "однохуйственно",
"опездал", "опизде", "опизденивающе", "остоебенить", "остопиздеть", "отмудохать", "отпиздить", "отпиздячить",
"отпороть", "отъебись", "охуевательский", "охуевать", "охуевающий", "охуел", "охуенно", "охуеньчик", "охуеть",
"охуительно", "охуительный", "охуяньчик", "охуячивать", "охуячить", "очкун", "падла", "падонки", "падонок",
"паскуда", "педерас", "педик", "педрик", "педрила", "педрилло", "педрило", "педрилы", "пездень", "пездит",
"пездишь", "пездо", "пездят", "пердануть", "пердеж", "пердение", "пердеть", "пердильник", "перднуть",
"пёрднуть",
"пердун", "пердунец", "пердунина", "пердунья", "пердуха", "пердь", "переёбок", "пернуть", "пёрнуть", "пи3д",
"пи3де", "пи3ду", "пиzдец", "пидар", "пидарaс", "пидарас", "пидарасы", "пидары", "пидор", "пидорасы", "пидорка",
"пидорок", "пидоры", "пидрас", "пизда", "пиздануть", "пиздануться", "пиздарваньчик", "пиздато", "пиздатое",
"пиздатый", "пизденка", "пизденыш", "пиздёныш", "пиздеть", "пиздец", "пиздит", "пиздить", "пиздиться",
"пиздишь", "пидр",
"пиздища", "пиздище", "пиздобол", "пиздоболы", "пиздобратия", "пиздоватая", "пиздоватый", "пиздолиз",
"пиздонутые",
"пиздорванец", "пиздорванка", "пиздострадатель", "пизду", "пиздуй", "пиздун", "пиздунья", "пизды", "пиздюга",
"пиздюк", "пиздюлина", "пиздюля", "пиздят", "пиздячить", "писбшки", "писька", "писькострадатель", "писюн",
"писюшка", "по хуй", "по хую", "подговнять", "подонки", "подонок", "подъебнуть", "подъебнуться", "поебать",
"поебень", "поёбываает", "поскуда", "посрать", "потаскуха", "потаскушка", "похер", "похерил", "похерила",
"похерили", "похеру", "похрен", "похрену", "похуй", "похуист", "похуистка", "похую", "придурок", "приебаться",
"припиздень", "припизднутый", "припиздюлина", "пробзделся", "проблядь", "проеб", "проебанка", "проебать",
"промандеть", "промудеть", "пропизделся", "пропиздеть", "пропиздячить", "раздолбай", "разхуячить", "разъеб",
"разъеба", "разъебай", "разъебать", "распиздай", "распиздеться", "распиздяй", "распиздяйство", "распроеть",
"сволота", "сволочь", "сговнять", "секель", "серун", "серька", "сестроеб", "сикель", "сила", "сирать",
"сирывать",
"соси", "спиздел", "спиздеть", "спиздил", "спиздила", "спиздили", "спиздит", "спиздить", "срака", "сраку",
"сраный",
"сранье", "срать", "срун", "ссака", "ссышь", "стерва", "страхопиздище", "сука", "суки", "суходрочка", "сучара",
"сучий", "сучка", "сучко", "сучонок", "сучье", "сцание", "сцать", "сцука", "сцуки", "сцуконах", "сцуль",
"сцыха",
"сцышь", "съебаться", "сыкун", "трахае6", "трахаеб", "трахаёб", "трахатель", "ублюдок", "уебать", "уёбища",
"уебище", "уёбище", "уебищное", "уёбищное", "уебк", "уебки", "уёбки", "уебок", "уёбок", "урюк", "усраться",
"ушлепок", "х_у_я_р_а", "хyё", "хyй", "хyйня", "хамло", "хер", "херня", "херовато", "херовина", "херовый",
"хитровыебанный", "хитрожопый", "хуeм", "хуе", "хуё", "хуевато", "хуёвенький", "хуевина", "хуево", "хуевый",
"хуёвый", "хуек", "хуёк", "хуел", "хуем", "хуенч", "хуеныш", "хуенький", "хуеплет", "хуеплёт",
"хуепромышленник",
"хуерик", "хуерыло", "хуесос", "хуесоска", "хуета", "хуетень", "хуею", "хуи", "хуй", "хуйком", "хуйло", "хуйня",
"хуйрик", "хуище", "хуля", "хую", "хуюл", "хуя", "хуяк", "хуякать", "хуякнуть", "хуяра", "хуясе", "хуячить",
"целка", "чмо", "чмошник", "чмырь", "шалава", "шалавой", "шараёбиться", "шлюха", "шлюхой", "шлюшка", "ябывает",
'пiзда',
)
exclude_list = (
'сабля', 'употреблять', 'рубля', 'злоупотреблять'
)
async def find_explicit(text: str):
patterns = my_patterns
for pattern in patterns:
to_find = re.compile(pattern, flags=re.IGNORECASE)
result = re.search(to_find, text)
if result:
word = result.group()
if word.lower() in exclude_list:
continue
logger.info(f'{word} - {pattern}')
return True
for word in text.lower().split():
if word in explicit_list:
logger.info(f'{word}')
return True
return False
| 89.608333
| 3,427
| 0.482145
| 2,866
| 21,506
| 3.317865
| 0.292743
| 0.025239
| 0.023662
| 0.016931
| 0.284047
| 0.230624
| 0.200021
| 0.172679
| 0.150489
| 0.147124
| 0
| 0.009389
| 0.078862
| 21,506
| 239
| 3,428
| 89.983264
| 0.470621
| 0.038408
| 0
| 0.01227
| 0
| 0.239264
| 0.799419
| 0.58014
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.01227
| 0
| 0.030675
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
51d59a107a179d8a53e7fd8f66318491c9243730
| 295
|
py
|
Python
|
brigadier/exceptions/__init__.py
|
NickNackGus/brigadier.py
|
43b315446711af3e313bdbb4b0b13a75f6f3a19e
|
[
"MIT"
] | null | null | null |
brigadier/exceptions/__init__.py
|
NickNackGus/brigadier.py
|
43b315446711af3e313bdbb4b0b13a75f6f3a19e
|
[
"MIT"
] | 1
|
2020-11-03T00:20:41.000Z
|
2020-11-04T06:16:16.000Z
|
brigadier/exceptions/__init__.py
|
NickNackGus/brigadier.py
|
43b315446711af3e313bdbb4b0b13a75f6f3a19e
|
[
"MIT"
] | 1
|
2020-11-02T23:55:34.000Z
|
2020-11-02T23:55:34.000Z
|
from .built_in_exceptions import BuiltInExceptions
from .command_expection import CommandExceptionType
from .command_syntax_exception import CommandSyntaxException
from .dynamic_command_exception import DynamicCommandExceptionType
from .simple_command_exception import SimpleCommandExceptionType
| 59
| 66
| 0.918644
| 29
| 295
| 9.034483
| 0.551724
| 0.171756
| 0.167939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.064407
| 295
| 5
| 67
| 59
| 0.949275
| 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
|
51fb5d1893f87140a0acc7a259b2048683539af2
| 105
|
py
|
Python
|
src/api-engine/api/admin.py
|
hyperledger-gerrit-archive/cello
|
52ce6439a391ee65cec76934c1d7b0475543a1e4
|
[
"Apache-2.0"
] | 865
|
2017-01-12T21:51:37.000Z
|
2022-03-26T16:39:16.000Z
|
src/api-engine/api/admin.py
|
hyperledger-gerrit-archive/cello
|
52ce6439a391ee65cec76934c1d7b0475543a1e4
|
[
"Apache-2.0"
] | 226
|
2017-02-06T08:36:24.000Z
|
2022-03-30T06:13:46.000Z
|
src/api-engine/api/admin.py
|
hyperledger-gerrit-archive/cello
|
52ce6439a391ee65cec76934c1d7b0475543a1e4
|
[
"Apache-2.0"
] | 506
|
2017-02-08T06:11:18.000Z
|
2022-03-10T04:25:25.000Z
|
#
# SPDX-License-Identifier: Apache-2.0
#
from django.contrib import admin
# Register your models here.
| 15
| 37
| 0.752381
| 15
| 105
| 5.266667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022222
| 0.142857
| 105
| 6
| 38
| 17.5
| 0.855556
| 0.590476
| 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
|
cf93b16c3e0221797d4952b1d29aa6c10d9f0806
| 93
|
py
|
Python
|
beta/pge2d/__init__.py
|
andreluispy/PGE
|
a94602d858656d56b62259253f1ade2e7ddb87b3
|
[
"MIT"
] | 5
|
2021-04-24T03:25:16.000Z
|
2022-02-05T16:04:41.000Z
|
beta/pge2d/__init__.py
|
andreluispy/PGE
|
a94602d858656d56b62259253f1ade2e7ddb87b3
|
[
"MIT"
] | null | null | null |
beta/pge2d/__init__.py
|
andreluispy/PGE
|
a94602d858656d56b62259253f1ade2e7ddb87b3
|
[
"MIT"
] | null | null | null |
from .pge import game, quit, collision, circle, rect, sprite, key, mouse, color, mixer, text
| 46.5
| 92
| 0.731183
| 14
| 93
| 4.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150538
| 93
| 1
| 93
| 93
| 0.860759
| 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
|
cfbfe44e53f73f5269974364ccdf2f1afb401af3
| 229
|
py
|
Python
|
insurance_claims/record_types.py
|
mlatcl/fbp-vs-oop
|
1ad848254c38b5880fca7e4cc09e2910743e9c59
|
[
"MIT"
] | 6
|
2021-05-29T07:05:35.000Z
|
2021-11-14T19:40:58.000Z
|
insurance_claims/record_types.py
|
mlatcl/fbp-vs-oop
|
1ad848254c38b5880fca7e4cc09e2910743e9c59
|
[
"MIT"
] | null | null | null |
insurance_claims/record_types.py
|
mlatcl/fbp-vs-oop
|
1ad848254c38b5880fca7e4cc09e2910743e9c59
|
[
"MIT"
] | 2
|
2021-08-16T07:37:52.000Z
|
2021-08-16T16:32:07.000Z
|
from dataclasses import dataclass
from dataclasses_json import dataclass_json
@dataclass
class ClaimValue:
claim_id: int
value: float
@dataclass_json
@dataclass
class ClaimPayout:
claim_id: int
payout: float
| 13.470588
| 43
| 0.768559
| 28
| 229
| 6.107143
| 0.5
| 0.175439
| 0.25731
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.19214
| 229
| 16
| 44
| 14.3125
| 0.924324
| 0
| 0
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.181818
| 0
| 0.727273
| 0
| 1
| 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
| 0
| 0
| 1
| 0
|
0
| 5
|
cfc7f94e7febbfc4ed43bdd5fb0351f107382a5a
| 53
|
py
|
Python
|
12 oporators/IdentityOper.py
|
codewithsandy/Python-Basic-Exp
|
4c70ada4a042923a94301453c7bd76e704cd2989
|
[
"MIT"
] | 3
|
2021-05-08T13:11:41.000Z
|
2021-05-14T02:43:20.000Z
|
12 oporators/IdentityOper.py
|
codewithsandy/Python-Basic-Exp
|
4c70ada4a042923a94301453c7bd76e704cd2989
|
[
"MIT"
] | null | null | null |
12 oporators/IdentityOper.py
|
codewithsandy/Python-Basic-Exp
|
4c70ada4a042923a94301453c7bd76e704cd2989
|
[
"MIT"
] | null | null | null |
a = True
b = False
print(a is b)
print(a is not b)
| 8.833333
| 17
| 0.603774
| 13
| 53
| 2.461538
| 0.538462
| 0.375
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.283019
| 53
| 5
| 18
| 10.6
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 0
| 1
|
0
| 5
|
cfdc0f47eac30b6551cc9e96de81171a512d41e5
| 19
|
py
|
Python
|
python/testData/mover/simple.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/mover/simple.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/mover/simple.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
a =<caret> 1
b = 2
| 6.333333
| 12
| 0.473684
| 5
| 19
| 1.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0.315789
| 19
| 2
| 13
| 9.5
| 0.538462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
cfdf7af6980f6c2bfd52d59a2281d96fe8a9290f
| 39
|
py
|
Python
|
devel/apps/ik/exceptions.py
|
riscoscloverleaf/chatcube
|
a7184ef76108f90a74a88d3183a3d21c1249a0f5
|
[
"MIT"
] | null | null | null |
devel/apps/ik/exceptions.py
|
riscoscloverleaf/chatcube
|
a7184ef76108f90a74a88d3183a3d21c1249a0f5
|
[
"MIT"
] | null | null | null |
devel/apps/ik/exceptions.py
|
riscoscloverleaf/chatcube
|
a7184ef76108f90a74a88d3183a3d21c1249a0f5
|
[
"MIT"
] | null | null | null |
class IKException(Exception):
pass
| 13
| 29
| 0.74359
| 4
| 39
| 7.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179487
| 39
| 2
| 30
| 19.5
| 0.90625
| 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
|
cfedfa6160715e6bf2062b8eb9a813e523058ae4
| 331
|
py
|
Python
|
engram/static.py
|
rgrannell1/engram.py
|
69ca1af7b0ddb963a611e15414aa2eda48d6c325
|
[
"MIT",
"Unlicense"
] | null | null | null |
engram/static.py
|
rgrannell1/engram.py
|
69ca1af7b0ddb963a611e15414aa2eda48d6c325
|
[
"MIT",
"Unlicense"
] | 36
|
2015-01-24T23:12:10.000Z
|
2015-07-12T19:01:44.000Z
|
engram/static.py
|
rgrannell1/engram.py
|
69ca1af7b0ddb963a611e15414aa2eda48d6c325
|
[
"MIT",
"Unlicense"
] | null | null | null |
#!/usr/bin/env python3
import os
def loadStatic(fpath, extension, fnames):
return [{'content': open(os.path.join(fpath, name + extension), 'r').read()} for name in fnames]
def loadJS(fnames):
return loadStatic('public/javascript/lib', '.js', fnames)
def loadCSS(fnames):
return loadStatic('public/css', '.css', fnames)
| 18.388889
| 97
| 0.694864
| 45
| 331
| 5.111111
| 0.622222
| 0.156522
| 0.191304
| 0.243478
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003472
| 0.129909
| 331
| 17
| 98
| 19.470588
| 0.795139
| 0.063444
| 0
| 0
| 0
| 0
| 0.148867
| 0.067961
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0
| 0.142857
| 0.428571
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
cff9ed58fc35036be23de8508a6a04962fa8c538
| 137
|
py
|
Python
|
src/databricksbundle/jdbc/OptionsFactoryInterface.py
|
chlubnamarek/databricks-bundle
|
ba3da5ba5e25046e7010fe505e0021738708f525
|
[
"MIT"
] | 1
|
2021-07-02T08:21:57.000Z
|
2021-07-02T08:21:57.000Z
|
src/databricksbundle/jdbc/OptionsFactoryInterface.py
|
chlubnamarek/databricks-bundle
|
ba3da5ba5e25046e7010fe505e0021738708f525
|
[
"MIT"
] | null | null | null |
src/databricksbundle/jdbc/OptionsFactoryInterface.py
|
chlubnamarek/databricks-bundle
|
ba3da5ba5e25046e7010fe505e0021738708f525
|
[
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
class OptionsFactoryInterface(ABC):
@abstractmethod
def create(self) -> dict:
pass
| 17.125
| 35
| 0.70073
| 14
| 137
| 6.857143
| 0.785714
| 0.354167
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.226277
| 137
| 7
| 36
| 19.571429
| 0.90566
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.2
| 0.2
| 0
| 0.6
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
5c9b46a8ffc794c9fd5acb7ee52976d1e93c20b4
| 24
|
py
|
Python
|
web/env/Main1026/Main1026.py
|
joney000/Online-Code-Checker-and-Compiler
|
30ab1741a4c3ad47fc3f15eb7dce2d79cd57f6f7
|
[
"MIT"
] | 19
|
2017-02-06T01:12:51.000Z
|
2022-02-05T21:32:24.000Z
|
web/env/Main1026/Main1026.py
|
joney000/Online-Code-Checker-and-Compiler-in-Java-CodeOj-codeoj.com-
|
30ab1741a4c3ad47fc3f15eb7dce2d79cd57f6f7
|
[
"MIT"
] | 1
|
2017-04-07T10:26:53.000Z
|
2017-04-07T10:47:17.000Z
|
web/env/Main1026/Main1026.py
|
joney000/Online-Code-Checker-and-Compiler-in-Java-CodeOj-codeoj.com-
|
30ab1741a4c3ad47fc3f15eb7dce2d79cd57f6f7
|
[
"MIT"
] | 10
|
2016-02-10T18:29:30.000Z
|
2021-02-16T05:26:58.000Z
|
while True:
print 2
| 12
| 12
| 0.625
| 4
| 24
| 3.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 0.333333
| 24
| 2
| 13
| 12
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 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
|
5c9d85551c0417117552cf1f2f44bcf8bcd81eed
| 39
|
py
|
Python
|
sail_on_client/protocol/__init__.py
|
darpa-sail-on/sail-on-client
|
1fd7c0ec359469040fd7af0c8e56fe53277d4a27
|
[
"Apache-2.0"
] | 1
|
2021-04-12T17:20:54.000Z
|
2021-04-12T17:20:54.000Z
|
sail_on_client/protocol/__init__.py
|
darpa-sail-on/sail-on-client
|
1fd7c0ec359469040fd7af0c8e56fe53277d4a27
|
[
"Apache-2.0"
] | 92
|
2021-03-08T22:32:15.000Z
|
2022-03-25T03:53:01.000Z
|
sail_on_client/protocol/__init__.py
|
darpa-sail-on/sail-on-client
|
1fd7c0ec359469040fd7af0c8e56fe53277d4a27
|
[
"Apache-2.0"
] | null | null | null |
"""Sail On client protocol package."""
| 19.5
| 38
| 0.692308
| 5
| 39
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 39
| 1
| 39
| 39
| 0.794118
| 0.820513
| 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
|
5c9f8ef2209cea832577638a9155233c4607412e
| 64
|
py
|
Python
|
__init__.py
|
Randomguyism/sTools
|
94f6f373938f71764f7c59e28d2172c6bf831b51
|
[
"Unlicense"
] | null | null | null |
__init__.py
|
Randomguyism/sTools
|
94f6f373938f71764f7c59e28d2172c6bf831b51
|
[
"Unlicense"
] | null | null | null |
__init__.py
|
Randomguyism/sTools
|
94f6f373938f71764f7c59e28d2172c6bf831b51
|
[
"Unlicense"
] | null | null | null |
import sTools_Main
reload(sTools_Main)
ui = sTools_Main.UI()
| 16
| 21
| 0.765625
| 10
| 64
| 4.6
| 0.5
| 0.652174
| 0.521739
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140625
| 64
| 4
| 21
| 16
| 0.836364
| 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
|
5ca678031c0cf38b7aadf0522afba68693529c4b
| 249
|
py
|
Python
|
SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Costs/__init__.py
|
Vinicius-Tanigawa/Undergraduate-Research-Project
|
e92372f07882484b127d7affe305eeec2238b8a9
|
[
"MIT"
] | null | null | null |
SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Costs/__init__.py
|
Vinicius-Tanigawa/Undergraduate-Research-Project
|
e92372f07882484b127d7affe305eeec2238b8a9
|
[
"MIT"
] | null | null | null |
SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Costs/__init__.py
|
Vinicius-Tanigawa/Undergraduate-Research-Project
|
e92372f07882484b127d7affe305eeec2238b8a9
|
[
"MIT"
] | null | null | null |
## @defgroup Methods-Costs Costs
# This contains functions that can compute costs associated with building and operating an aircraft.
# Currently there are modules for industrial cost and operating cost.
# @ingroup Methods
from . import Correlations
| 49.8
| 100
| 0.811245
| 33
| 249
| 6.121212
| 0.818182
| 0.118812
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144578
| 249
| 5
| 101
| 49.8
| 0.948357
| 0.855422
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 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
| 1
| 0
| 1
| 0
|
0
| 5
|
5cb842b2c14331487f0b127ebe66a48aa60bc641
| 160
|
py
|
Python
|
linkedin/commands/command.py
|
tigillo/linkedin-cli
|
43bed36a9165a1a55826b03eba8a246740a040fd
|
[
"Apache-2.0"
] | 12
|
2021-02-13T17:17:04.000Z
|
2022-02-07T10:53:19.000Z
|
whitefly/commands/command.py
|
kloiasoft/whitefly
|
517b16a5549dbec1c5107dca22c681e2a5f44ea1
|
[
"Apache-2.0"
] | 4
|
2017-08-17T15:45:37.000Z
|
2017-08-20T23:03:41.000Z
|
whitefly/commands/command.py
|
kloiasoft/whitefly
|
517b16a5549dbec1c5107dca22c681e2a5f44ea1
|
[
"Apache-2.0"
] | 3
|
2021-02-13T17:17:37.000Z
|
2022-03-03T21:52:10.000Z
|
from abc import ABCMeta, abstractmethod
class BaseCommand(object):
__metaclass__ = ABCMeta
@abstractmethod
def execute(self, args):
pass
| 16
| 39
| 0.7
| 16
| 160
| 6.75
| 0.875
| 0.388889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2375
| 160
| 9
| 40
| 17.777778
| 0.885246
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.166667
| 0.166667
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
7a259ea45f5126efbcfe9f166969b161527e551c
| 10,732
|
py
|
Python
|
plyplus/test/test_parser.py
|
TheChuckster/plyplus
|
12985cf3598dab8d084c90636de6b3e3b6ef86c6
|
[
"MIT"
] | null | null | null |
plyplus/test/test_parser.py
|
TheChuckster/plyplus
|
12985cf3598dab8d084c90636de6b3e3b6ef86c6
|
[
"MIT"
] | null | null | null |
plyplus/test/test_parser.py
|
TheChuckster/plyplus
|
12985cf3598dab8d084c90636de6b3e3b6ef86c6
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
import unittest
import logging
import os
import sys
try:
from cStringIO import StringIO as cStringIO
except ImportError:
# Available only in Python 2.x, 3.x only has io.StringIO from below
cStringIO = None
from io import (
StringIO as uStringIO,
open,
)
from ply import yacc
from plyplus.plyplus import Grammar, TokValue, ParseError
logging.basicConfig(level=logging.INFO)
CUR_PATH = os.path.dirname(__file__)
def _read(n, *args):
with open(os.path.join(CUR_PATH, n), *args) as f:
return f.read()
FIB = """
def fib(n):
if n <= 1:
return 1
return fib(
n-1) + fib(n-2)
for i in range(11):
print fib(i),
"""
class TestPlyPlus(unittest.TestCase):
def test_basic1(self):
g = Grammar("start: a+ b a+? 'b' a*; b: 'b'; a: 'a';")
r = g.parse('aaabaab')
self.assertEqual( ''.join(x.head for x in r.tail), 'aaabaa' )
r = g.parse('aaabaaba')
self.assertEqual( ''.join(x.head for x in r.tail), 'aaabaaa' )
self.assertRaises(ParseError, g.parse, 'aaabaa')
def test_basic2(self):
# Multiple parsers and colliding tokens
g = Grammar("start: B A ; B: '12'; A: '1'; ", auto_filter_tokens=False)
g2 = Grammar("start: B A; B: '12'; A: '2'; ", auto_filter_tokens=False)
x = g.parse('121')
assert x.head == 'start' and x.tail == ['12', '1'], x
x = g2.parse('122')
assert x.head == 'start' and x.tail == ['12', '2'], x
def test_basic3(self):
g = Grammar("start: '\(' name_list (COMMA MUL NAME)? '\)'; @name_list: NAME | name_list COMMA NAME ; MUL: '\*'; COMMA: ','; NAME: '\w+'; ")
l = g.parse('(a,b,c,*x)')
g = Grammar("start: '\(' name_list (COMMA MUL NAME)? '\)'; @name_list: NAME | name_list COMMA NAME ; MUL: '\*'; COMMA: ','; NAME: '\w+'; ")
l2 = g.parse('(a,b,c,*x)')
assert l == l2, '%s != %s' % (l, l2)
@unittest.skipIf(cStringIO is None, "cStringIO not available")
def test_stringio_bytes(self):
"""Verify that a Grammar can be created from file-like objects other than Python's standard 'file' object"""
Grammar(cStringIO(b"start: a+ b a+? 'b' a*; b: 'b'; a: 'a';"))
def test_stringio_unicode(self):
"""Verify that a Grammar can be created from file-like objects other than Python's standard 'file' object"""
Grammar(uStringIO(u"start: a+ b a+? 'b' a*; b: 'b'; a: 'a';"))
def test_unicode(self):
g = Grammar(r"""start: UNIA UNIB UNIA;
UNIA: '\xa3';
UNIB: '\u0101';
""")
g.parse(u'\xa3\u0101\u00a3')
def test_recurse_expansion(self):
"""Verify that stack depth doesn't get exceeded on recursive rules marked for expansion."""
g = Grammar(r"""@start: a | start a ; a : A ; A : 'a' ;""")
# Force PLY to write to the debug log, but prevent writing it to the terminal (uses repr() on the half-built
# STree data structures, which uses recursion).
g._grammar.debug = yacc.NullLogger()
g.parse("a" * (sys.getrecursionlimit() / 4))
def test_expand1_lists_with_one_item(self):
g = Grammar(r"""start: list ;
?list: item+ ;
item : A ;
A: 'a' ;
""")
r = g.parse("a")
# because 'list' is an expand-if-contains-one rule and we only provided one element it should have expanded to 'item'
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('item',))
# regardless of the amount of items: there should be only *one* child in 'start' because 'list' isn't an expand-all rule
self.assertEqual(len(r.tail), 1)
def test_expand1_lists_with_one_item_2(self):
g = Grammar(r"""start: list ;
?list: item+ '!';
item : A ;
A: 'a' ;
""")
r = g.parse("a!")
# because 'list' is an expand-if-contains-one rule and we only provided one element it should have expanded to 'item'
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('item',))
# regardless of the amount of items: there should be only *one* child in 'start' because 'list' isn't an expand-all rule
self.assertEqual(len(r.tail), 1)
def test_dont_expand1_lists_with_multiple_items(self):
g = Grammar(r"""start: list ;
?list: item+ ;
item : A ;
A: 'a' ;
""")
r = g.parse("aa")
# because 'list' is an expand-if-contains-one rule and we've provided more than one element it should *not* have expanded
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('list',))
# regardless of the amount of items: there should be only *one* child in 'start' because 'list' isn't an expand-all rule
self.assertEqual(len(r.tail), 1)
# Sanity check: verify that 'list' contains the two 'item's we've given it
[list] = r.tail
self.assertSequenceEqual([item.head for item in list.tail], ('item', 'item'))
def test_dont_expand1_lists_with_multiple_items_2(self):
g = Grammar(r"""start: list ;
?list: item+ '!';
item : A ;
A: 'a' ;
""")
r = g.parse("aa!")
# because 'list' is an expand-if-contains-one rule and we've provided more than one element it should *not* have expanded
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('list',))
# regardless of the amount of items: there should be only *one* child in 'start' because 'list' isn't an expand-all rule
self.assertEqual(len(r.tail), 1)
# Sanity check: verify that 'list' contains the two 'item's we've given it
[list] = r.tail
self.assertSequenceEqual([item.head for item in list.tail], ('item', 'item'))
def test_empty_expand1_list(self):
g = Grammar(r"""start: list ;
?list: item* ;
item : A ;
A: 'a' ;
""")
r = g.parse("")
# because 'list' is an expand-if-contains-one rule and we've provided less than one element (i.e. none) it should *not* have expanded
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('list',))
# regardless of the amount of items: there should be only *one* child in 'start' because 'list' isn't an expand-all rule
self.assertEqual(len(r.tail), 1)
# Sanity check: verify that 'list' contains no 'item's as we've given it none
[list] = r.tail
self.assertSequenceEqual([item.head for item in list.tail], ())
def test_empty_expand1_list_2(self):
g = Grammar(r"""start: list ;
?list: item* '!'?;
item : A ;
A: 'a' ;
""")
r = g.parse("")
# because 'list' is an expand-if-contains-one rule and we've provided less than one element (i.e. none) it should *not* have expanded
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('list',))
# regardless of the amount of items: there should be only *one* child in 'start' because 'list' isn't an expand-all rule
self.assertEqual(len(r.tail), 1)
# Sanity check: verify that 'list' contains no 'item's as we've given it none
[list] = r.tail
self.assertSequenceEqual([item.head for item in list.tail], ())
def test_empty_flatten_list(self):
g = Grammar(r"""start: list ;
#list: | item ',' list;
item : A ;
A: 'a' ;
""")
r = g.parse("")
# Because 'list' is a flatten rule it's top-level element should *never* be expanded
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('list',))
# Sanity check: verify that 'list' contains no 'item's as we've given it none
[list] = r.tail
self.assertSequenceEqual([item.head for item in list.tail], ())
def test_single_item_flatten_list(self):
g = Grammar(r"""start: list ;
#list: | item ',' list ;
item : A ;
A: 'a' ;
""")
r = g.parse("a,")
# Because 'list' is a flatten rule it's top-level element should *never* be expanded
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('list',))
# Sanity check: verify that 'list' contains exactly the one 'item' we've given it
[list] = r.tail
self.assertSequenceEqual([item.head for item in list.tail], ('item',))
def test_multiple_item_flatten_list(self):
g = Grammar(r"""start: list ;
#list: | item ',' list ;
item : A ;
A: 'a' ;
""")
r = g.parse("a,a,")
# Because 'list' is a flatten rule it's top-level element should *never* be expanded
self.assertSequenceEqual([subtree.head for subtree in r.tail], ('list',))
# Sanity check: verify that 'list' contains exactly the two 'item's we've given it
[list] = r.tail
self.assertSequenceEqual([item.head for item in list.tail], ('item', 'item'))
def test_recurse_flatten(self):
"""Verify that stack depth doesn't get exceeded on recursive rules marked for flattening."""
g = Grammar(r"""#start: a | start a ; a : A ; A : 'a' ;""")
# Force PLY to write to the debug log, but prevent writing it to the terminal (uses repr() on the half-built
# STree data structures, which uses recursion).
g._grammar.debug = yacc.NullLogger()
g.parse("a" * (sys.getrecursionlimit() / 4))
def test_python_lex(code=FIB, expected=54):
g = Grammar(_read('python.g'))
l = list(g.lex(code))
for x in l:
y = x.value
if isinstance(y, TokValue):
logging.debug('%s %s %s', y.type, y.line, y.column)
else:
logging.debug('%s %s', x.type, x.value)
assert len(l) == expected, len(l)
def test_python_lex2():
test_python_lex(code="""
def add_token():
a
# hello
# hello
setattr(self, b)
""", expected=26)
def test_python_lex3():
test_python_lex("""
def test2():
sexp = ['start',
]
""", expected=18)
if __name__ == '__main__':
unittest.main()
| 38.192171
| 148
| 0.559355
| 1,457
| 10,732
| 4.052848
| 0.153054
| 0.010161
| 0.007621
| 0.02845
| 0.774259
| 0.76613
| 0.762743
| 0.748857
| 0.728874
| 0.728196
| 0
| 0.009809
| 0.30656
| 10,732
| 280
| 149
| 38.328571
| 0.78366
| 0.281681
| 0
| 0.44385
| 0
| 0.026738
| 0.314189
| 0
| 0
| 0
| 0
| 0
| 0.15508
| 1
| 0.112299
| false
| 0
| 0.053476
| 0
| 0.187166
| 0.005348
| 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
|
7a48590fa07faae1a77f5194f33384c610dcc9e6
| 120
|
py
|
Python
|
my_crawler/__init__.py
|
kevinshenyang07/PyCrawler
|
31d6e37720779642cae7c5f495e58fc299090c89
|
[
"MIT"
] | 1
|
2018-09-07T21:09:11.000Z
|
2018-09-07T21:09:11.000Z
|
my_crawler/__init__.py
|
kevinshenyang07/PyCrawler
|
31d6e37720779642cae7c5f495e58fc299090c89
|
[
"MIT"
] | null | null | null |
my_crawler/__init__.py
|
kevinshenyang07/PyCrawler
|
31d6e37720779642cae7c5f495e58fc299090c89
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from .crawler import Crawler
from .utils import *
from .workers import Fetcher, Parser, Saver
| 17.142857
| 43
| 0.7
| 16
| 120
| 5.25
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010101
| 0.175
| 120
| 6
| 44
| 20
| 0.838384
| 0.175
| 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
|
7a5c90e8100c5a32f00419785af4a825e5bdad5c
| 99
|
py
|
Python
|
napari_console/__init__.py
|
Carreau/napari-console
|
cd81e95c74bfdcff20c715c14a56717dd79dbcb3
|
[
"BSD-3-Clause"
] | 2
|
2021-01-10T02:13:30.000Z
|
2021-01-10T15:26:34.000Z
|
napari_console/__init__.py
|
Carreau/napari-console
|
cd81e95c74bfdcff20c715c14a56717dd79dbcb3
|
[
"BSD-3-Clause"
] | 15
|
2021-01-19T03:30:50.000Z
|
2021-08-31T15:56:07.000Z
|
napari_console/__init__.py
|
Carreau/napari-console
|
cd81e95c74bfdcff20c715c14a56717dd79dbcb3
|
[
"BSD-3-Clause"
] | 5
|
2021-01-19T03:20:56.000Z
|
2022-03-07T14:43:34.000Z
|
from .qt_console import QtConsole
# from ._hookimpl import napari_experimental_provide_dock_widget
| 33
| 64
| 0.878788
| 13
| 99
| 6.230769
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 99
| 2
| 65
| 49.5
| 0.9
| 0.626263
| 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
|
7a7204c7a34d32c131eadd07115607b7527eeec3
| 81
|
py
|
Python
|
zoneconfig/finders/__init__.py
|
vfxetc/zoneconfig
|
fdbc6699b79966fc4c4dc8e0038ae3a8bc10c18c
|
[
"BSD-3-Clause"
] | 1
|
2018-10-04T20:05:04.000Z
|
2018-10-04T20:05:04.000Z
|
zoneconfig/finders/__init__.py
|
vfxetc/zoneconfig
|
fdbc6699b79966fc4c4dc8e0038ae3a8bc10c18c
|
[
"BSD-3-Clause"
] | null | null | null |
zoneconfig/finders/__init__.py
|
vfxetc/zoneconfig
|
fdbc6699b79966fc4c4dc8e0038ae3a8bc10c18c
|
[
"BSD-3-Clause"
] | null | null | null |
from .file import FileFinder
def make_finder(url):
return FileFinder(url)
| 11.571429
| 28
| 0.740741
| 11
| 81
| 5.363636
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185185
| 81
| 6
| 29
| 13.5
| 0.893939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 5
|
7aa3b27077c481351c8962d6f506eb28ed956bcb
| 137
|
py
|
Python
|
about_me/urls.py
|
Williano/CV
|
b2954ac1753d7f31461c59cd7fe24ea13405cddf
|
[
"MIT"
] | null | null | null |
about_me/urls.py
|
Williano/CV
|
b2954ac1753d7f31461c59cd7fe24ea13405cddf
|
[
"MIT"
] | 3
|
2020-02-11T21:48:34.000Z
|
2021-06-10T18:38:09.000Z
|
about_me/urls.py
|
Williano/CV
|
b2954ac1753d7f31461c59cd7fe24ea13405cddf
|
[
"MIT"
] | 1
|
2018-08-06T06:57:16.000Z
|
2018-08-06T06:57:16.000Z
|
from django.urls import path
from . import views
app_name = 'about_me'
urlpatterns = [
path('', views.about_me, name='about_me')
]
| 15.222222
| 45
| 0.693431
| 20
| 137
| 4.55
| 0.55
| 0.230769
| 0.241758
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175182
| 137
| 9
| 46
| 15.222222
| 0.80531
| 0
| 0
| 0
| 0
| 0
| 0.115942
| 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
|
7ac297100f19ed6bffa7ace021d6b120821b8527
| 101
|
py
|
Python
|
rivoli/exceptions.py
|
funboarder13920/rivoli-bot
|
5a52285375547a995c943406517ad4489ea5d501
|
[
"MIT"
] | 8
|
2020-06-06T09:10:41.000Z
|
2022-01-14T13:17:06.000Z
|
rivoli/exceptions.py
|
funboarder13920/rivoli-bot
|
5a52285375547a995c943406517ad4489ea5d501
|
[
"MIT"
] | 3
|
2021-04-06T18:26:43.000Z
|
2022-02-15T17:12:44.000Z
|
rivoli/exceptions.py
|
funboarder13920/rivoli-bot
|
5a52285375547a995c943406517ad4489ea5d501
|
[
"MIT"
] | 4
|
2020-12-15T07:46:23.000Z
|
2022-02-15T16:10:40.000Z
|
class FailedRequestingEcoCounterError(Exception):
pass
class PublishError(Exception):
pass
| 14.428571
| 49
| 0.782178
| 8
| 101
| 9.875
| 0.625
| 0.329114
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158416
| 101
| 6
| 50
| 16.833333
| 0.929412
| 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
| 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
|
8f989728c47baac95018db88b80ec368caccb3b3
| 601
|
py
|
Python
|
gym_modular/rewards/part/__init__.py
|
TimSchneider42/mbpo
|
736ba90bbdaddb2a40a6233bc0b78da72235100a
|
[
"MIT"
] | null | null | null |
gym_modular/rewards/part/__init__.py
|
TimSchneider42/mbpo
|
736ba90bbdaddb2a40a6233bc0b78da72235100a
|
[
"MIT"
] | null | null | null |
gym_modular/rewards/part/__init__.py
|
TimSchneider42/mbpo
|
736ba90bbdaddb2a40a6233bc0b78da72235100a
|
[
"MIT"
] | null | null | null |
from .all_part_marker_reward import AllPartMarkerReward
from .all_part_velocity_reward import AllPartVelocityReward
from .current_part_marker_reward import CurrentPartMarkerReward
from .current_part_velocity_reward import CurrentPartVelocityReward
from .part_marker_reward import PartMarkerReward
from .part_reward import PartReward
from .part_velocity_reward import PartVelocityReward
from .placed_part_marker_reward import PlacedPartMarkerReward
from .released_part_marker_velocity_reward import ReleasedPartMarkerVelocityReward
from .released_part_velocity_reward import ReleasedPartVelocityReward
| 54.636364
| 82
| 0.916805
| 67
| 601
| 7.820896
| 0.298507
| 0.229008
| 0.19084
| 0.167939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066556
| 601
| 10
| 83
| 60.1
| 0.934046
| 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
|
8f9a299d6bdd4190d96953a17fa9e7b6b8b8e9a7
| 114
|
py
|
Python
|
picnic/files/code/__init__.py
|
Zulko/picnic.py
|
80be50fedc7288def69879c2bc050a7038a3fa4f
|
[
"MIT"
] | 51
|
2015-02-12T04:13:04.000Z
|
2021-09-16T14:17:22.000Z
|
picnic/files/code/__init__.py
|
Zulko/picnic.py
|
80be50fedc7288def69879c2bc050a7038a3fa4f
|
[
"MIT"
] | 3
|
2016-09-11T00:52:11.000Z
|
2021-07-10T22:40:14.000Z
|
picnic/files/code/__init__.py
|
Zulko/picnic.py
|
80be50fedc7288def69879c2bc050a7038a3fa4f
|
[
"MIT"
] | 12
|
2015-02-17T06:53:33.000Z
|
2021-07-10T22:38:44.000Z
|
""" $package_name/__init__.py """
# __all__ = []
from .$PACKAGE_NAME import *
from .version import __version__
| 14.25
| 33
| 0.692982
| 13
| 114
| 5
| 0.615385
| 0.338462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 114
| 7
| 34
| 16.285714
| 0.677083
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 1
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8fba31c3d01782077449e66be0dc92ed9fc3ac50
| 113
|
py
|
Python
|
src/abaqus/Optimization/StepOptionArray.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | 7
|
2022-01-21T09:15:45.000Z
|
2022-02-15T09:31:58.000Z
|
src/abaqus/Optimization/StepOptionArray.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
src/abaqus/Optimization/StepOptionArray.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
from .StepOption import StepOption
class StepOptionArray(list[StepOption]):
def findAt(self):
pass
| 16.142857
| 40
| 0.716814
| 12
| 113
| 6.75
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.20354
| 113
| 6
| 41
| 18.833333
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.25
| 0.25
| 0
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
8fd398d95b4b0b9c68b7f917ca3eea469079e032
| 229
|
py
|
Python
|
test/tests/classes.py
|
aisk/pyston
|
ac69cfef0621dbc8901175e84fa2b5cb5781a646
|
[
"BSD-2-Clause",
"Apache-2.0"
] | 1
|
2020-02-06T14:28:45.000Z
|
2020-02-06T14:28:45.000Z
|
test/tests/classes.py
|
aisk/pyston
|
ac69cfef0621dbc8901175e84fa2b5cb5781a646
|
[
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null |
test/tests/classes.py
|
aisk/pyston
|
ac69cfef0621dbc8901175e84fa2b5cb5781a646
|
[
"BSD-2-Clause",
"Apache-2.0"
] | 1
|
2020-02-06T14:29:00.000Z
|
2020-02-06T14:29:00.000Z
|
class C(object):
pass
class D:
pass
for l in [type, set, int, list, tuple, C, D]:
print l, l.__module__
print type.__dict__['__module__'].__get__(set, None)
print type(type.__dict__['__module__'].__get__(None, set))
| 22.9
| 58
| 0.681223
| 36
| 229
| 3.555556
| 0.5
| 0.140625
| 0.21875
| 0.265625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165939
| 229
| 9
| 59
| 25.444444
| 0.670157
| 0
| 0
| 0.25
| 0
| 0
| 0.087336
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.25
| 0
| null | null | 0.375
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
8f20c27d2d65a83a4ac066b06f6443aa2b4e2494
| 125
|
py
|
Python
|
seed.py
|
jaa2015/FlaskProject
|
96a8c0b072e9f481dad9eac09b229fa291432cb2
|
[
"MIT"
] | 2
|
2016-12-15T22:59:42.000Z
|
2017-01-16T07:54:00.000Z
|
seed.py
|
jaa2015/FlaskProject
|
96a8c0b072e9f481dad9eac09b229fa291432cb2
|
[
"MIT"
] | 1
|
2021-02-08T20:21:17.000Z
|
2021-02-08T20:21:17.000Z
|
seed.py
|
jaa2015/FlaskProject
|
96a8c0b072e9f481dad9eac09b229fa291432cb2
|
[
"MIT"
] | 1
|
2017-03-23T04:48:09.000Z
|
2017-03-23T04:48:09.000Z
|
from flaskproject import app
from flaskproject.core import db
with app.app_context():
db.drop_all()
db.create_all()
| 17.857143
| 32
| 0.744
| 19
| 125
| 4.736842
| 0.578947
| 0.355556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168
| 125
| 6
| 33
| 20.833333
| 0.865385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
|
8f49495d5a2362b818e9fe5828c2ee693b1da988
| 48
|
py
|
Python
|
pydfs_lineup_optimizer/sites/yahoo/__init__.py
|
MetalBurning/pydfs-lineup-optimizer
|
cbef0b5d78b97ecb73a7be82678e6cdbb7bfddba
|
[
"MIT"
] | null | null | null |
pydfs_lineup_optimizer/sites/yahoo/__init__.py
|
MetalBurning/pydfs-lineup-optimizer
|
cbef0b5d78b97ecb73a7be82678e6cdbb7bfddba
|
[
"MIT"
] | null | null | null |
pydfs_lineup_optimizer/sites/yahoo/__init__.py
|
MetalBurning/pydfs-lineup-optimizer
|
cbef0b5d78b97ecb73a7be82678e6cdbb7bfddba
|
[
"MIT"
] | null | null | null |
from .importer import *
from .settings import *
| 16
| 23
| 0.75
| 6
| 48
| 6
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 48
| 2
| 24
| 24
| 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
|
8f4ac603f763c98971e2c501da164cda5eede881
| 69,682
|
py
|
Python
|
utils/constant.py
|
aryehgigi/gcn-over-pruned-trees
|
2425f1413fde36d231173083a44d4965c6670455
|
[
"Apache-2.0"
] | null | null | null |
utils/constant.py
|
aryehgigi/gcn-over-pruned-trees
|
2425f1413fde36d231173083a44d4965c6670455
|
[
"Apache-2.0"
] | null | null | null |
utils/constant.py
|
aryehgigi/gcn-over-pruned-trees
|
2425f1413fde36d231173083a44d4965c6670455
|
[
"Apache-2.0"
] | null | null | null |
from enum import Enum
"""
Define constants.
"""
EMB_INIT_RANGE = 1.0
# vocab
PAD_TOKEN = '<PAD>'
PAD_ID = 0
UNK_TOKEN = '<UNK>'
UNK_ID = 1
STATE = 2
QUALITY = 3
ADJ_SIZE = 100
VOCAB_PREFIX = [PAD_TOKEN, UNK_TOKEN]
# hard-coded mappings from fields to ids
SUBJ_NER_TO_ID = {PAD_TOKEN: 0, UNK_TOKEN: 1, 'ORGANIZATION': 2, 'PERSON': 3}
OBJ_NER_TO_ID = {PAD_TOKEN: 0, UNK_TOKEN: 1, 'PERSON': 2, 'ORGANIZATION': 3, 'DATE': 4, 'NUMBER': 5, 'TITLE': 6, 'COUNTRY': 7, 'LOCATION': 8, 'CITY': 9, 'MISC': 10, 'STATE_OR_PROVINCE': 11, 'DURATION': 12, 'NATIONALITY': 13, 'CAUSE_OF_DEATH': 14, 'CRIMINAL_CHARGE': 15, 'RELIGION': 16, 'URL': 17, 'IDEOLOGY': 18}
NER_TO_ID = {PAD_TOKEN: 0, UNK_TOKEN: 1, 'O': 2, 'PERSON': 3, 'ORGANIZATION': 4, 'LOCATION': 5, 'DATE': 6, 'NUMBER': 7, 'MISC': 8, 'DURATION': 9, 'MONEY': 10, 'PERCENT': 11, 'ORDINAL': 12, 'TIME': 13, 'SET': 14}
POS_TO_ID = {PAD_TOKEN: 0, UNK_TOKEN: 1, 'NNP': 2, 'NN': 3, 'IN': 4, 'DT': 5, ',': 6, 'JJ': 7, 'NNS': 8, 'VBD': 9, 'CD': 10, 'CC': 11, '.': 12, 'RB': 13, 'VBN': 14, 'PRP': 15, 'TO': 16, 'VB': 17, 'VBG': 18, 'VBZ': 19, 'PRP$': 20, ':': 21, 'POS': 22, '\'\'': 23, '``': 24, '-RRB-': 25, '-LRB-': 26, 'VBP': 27, 'MD': 28, 'NNPS': 29, 'WP': 30, 'WDT': 31, 'WRB': 32, 'RP': 33, 'JJR': 34, 'JJS': 35, '$': 36, 'FW': 37, 'RBR': 38, 'SYM': 39, 'EX': 40, 'RBS': 41, 'WP$': 42, 'PDT': 43, 'LS': 44, 'UH': 45, '#': 46}
DEPREL_TO_ID = {PAD_TOKEN: 0, UNK_TOKEN: 1, 'punct': 2, 'compound': 3, 'case': 4, 'nmod': 5, 'det': 6, 'nsubj': 7, 'amod': 8, 'conj': 9, 'dobj': 10, 'ROOT': 11, 'cc': 12, 'nmod:poss': 13, 'mark': 14, 'advmod': 15, 'appos': 16, 'nummod': 17, 'dep': 18, 'ccomp': 19, 'aux': 20, 'advcl': 21, 'acl:relcl': 22, 'xcomp': 23, 'cop': 24, 'acl': 25, 'auxpass': 26, 'nsubjpass': 27, 'nmod:tmod': 28, 'neg': 29, 'compound:prt': 30, 'mwe': 31, 'parataxis': 32, 'root': 33, 'nmod:npmod': 34, 'expl': 35, 'csubj': 36, 'cc:preconj': 37, 'iobj': 38, 'det:predet': 39, 'discourse': 40, 'csubjpass': 41}
SELF_LOOP = '<SELF_LOOP>'
SELF_LOOP_ID = 2
DEP_TO_ID = {PAD_TOKEN: 0, UNK_TOKEN: 1, SELF_LOOP: 2, 'acl': 3, 'acl:@': 4, 'acl:aboard': 5, 'acl:about': 6, 'acl:after': 7, 'acl:against': 8, 'acl:amid': 9, 'acl:appos_extra': 10, 'acl:around': 11, 'acl:as': 12, 'acl:as_of': 13, 'acl:as_to': 14, 'acl:at': 15, 'acl:before': 16, 'acl:behind': 17, 'acl:below': 18, 'acl:between': 19, 'acl:beyond': 20, 'acl:by': 21, 'acl:compared_to': 22, 'acl:compared_with': 23, 'acl:for': 24, 'acl:from': 25, 'acl:given': 26, 'acl:if': 27, 'acl:in': 28, 'acl:in_addition_to': 29, 'acl:in_lieu_of': 30, 'acl:in_order': 31, 'acl:including': 32, 'acl:into': 33, 'acl:like': 34, 'acl:near': 35, 'acl:of': 36, 'acl:on': 37, 'acl:out': 38, 'acl:over': 39, 'acl:rather_than': 40, 'acl:relcl': 41, 'acl:relcl:appos_extra': 42, 'acl:since': 43, 'acl:such_as': 44, 'acl:than': 45, 'acl:that': 46, 'acl:the': 47, 'acl:though': 48, 'acl:through': 49, 'acl:to': 50, 'acl:toward': 51, 'acl:towards': 52, 'acl:under': 53, 'acl:unlike': 54, 'acl:until': 55, 'acl:whether': 56, 'acl:while': 57, 'acl:whilst': 58, 'acl:with': 59, 'acl:within': 60, 'acl:without': 61, 'acl:worth': 62, 'advcl': 63, 'advcl:*': 64, 'advcl:about': 65, 'advcl:above': 66, 'advcl:after': 67, 'advcl:against': 68, 'advcl:ago': 69, 'advcl:along': 70, 'advcl:along_with': 71, 'advcl:along_with:appos_extra': 72, 'advcl:although': 73, 'advcl:amid': 74, 'advcl:among': 75, 'advcl:appos_extra': 76, 'advcl:around': 77, 'advcl:as': 78, 'advcl:as_if': 79, 'advcl:as_of': 80, 'advcl:as_per': 81, 'advcl:at': 82, 'advcl:based': 83, 'advcl:based_on': 84, 'advcl:because': 85, 'advcl:because_if': 86, 'advcl:because_of': 87, 'advcl:because_since': 88, 'advcl:before': 89, 'advcl:behind': 90, 'advcl:beside': 91, 'advcl:besides': 92, 'advcl:between': 93, 'advcl:beyond': 94, 'advcl:by': 95, 'advcl:clear': 96, 'advcl:compared': 97, 'advcl:compared_to': 98, 'advcl:compared_to:appos_extra': 99, 'advcl:compared_with': 100, 'advcl:compared_with:appos_extra': 101, 'advcl:de': 102, 'advcl:depending': 103, 'advcl:despite': 104, 'advcl:down': 105, 'advcl:due': 106, 'advcl:due_to': 107, 'advcl:during': 108, 'advcl:except': 109, 'advcl:far': 110, 'advcl:for': 111, 'advcl:for:appos_extra': 112, 'advcl:from': 113, 'advcl:given': 114, 'advcl:if': 115, 'advcl:in': 116, 'advcl:in_case': 117, 'advcl:in_order': 118, 'advcl:including': 119, 'advcl:including:appos_extra': 120, 'advcl:inside': 121, 'advcl:instead_of': 122, 'advcl:into': 123, 'advcl:lest': 124, 'advcl:like': 125, 'advcl:na': 126, 'advcl:not': 127, 'advcl:of': 128, 'advcl:off': 129, 'advcl:on': 130, 'advcl:on:appos_extra': 131, 'advcl:once': 132, 'advcl:onto': 133, 'advcl:out': 134, 'advcl:out_of': 135, 'advcl:outside': 136, 'advcl:over': 137, 'advcl:past': 138, 'advcl:rather_than': 139, 'advcl:since': 140, 'advcl:since:appos_extra': 141, 'advcl:so': 142, 'advcl:so_as': 143, 'advcl:so_that': 144, 'advcl:starting': 145, 'advcl:starting:appos_extra': 146, 'advcl:such_as': 147, 'advcl:than': 148, 'advcl:that': 149, 'advcl:though': 150, 'advcl:through': 151, 'advcl:through-out': 152, 'advcl:till': 153, 'advcl:to': 154, 'advcl:to:appos_extra': 155, 'advcl:toward': 156, 'advcl:towards': 157, 'advcl:under': 158, 'advcl:unless': 159, 'advcl:unlike': 160, 'advcl:until': 161, 'advcl:up': 162, 'advcl:upon': 163, 'advcl:via': 164, 'advcl:whereas': 165, 'advcl:whether': 166, 'advcl:while': 167, 'advcl:whilst': 168, 'advcl:with': 169, 'advcl:with:appos_extra': 170, 'advcl:without': 171, 'advcl:worth': 172, 'advmod': 173, 'advmod:appos_extra': 174, 'advmod:indexical_extra': 175, 'advmod:over': 176, 'amod': 177, 'amod:appos_extra': 178, 'appos': 179, 'appos:appos_extra': 180, 'appos:appos_extra:appos_extra': 181, 'aux': 182, 'aux:appos_extra': 183, 'auxpass': 184, 'auxpass:appos_extra': 185, 'case': 186, 'case:auto-mwe_extra': 187, 'case:auto-mwe_extra:appos_extra': 188, 'cc': 189, 'cc:preconj': 190, 'ccomp': 191, 'ccomp:appos_extra': 192, 'compound': 193, 'compound:appos_extra': 194, 'compound:prt': 195, 'conj': 196, "conj:'n'": 197, 'conj:+': 198, 'conj:+:appos_extra': 199, 'conj:AND': 200, 'conj:And': 201, 'conj:And:appos_extra': 202, 'conj:But': 203, 'conj:But:appos_extra': 204, 'conj:Neither': 205, 'conj:Nor': 206, 'conj:Or': 207, 'conj:Plus': 208, 'conj:So': 209, 'conj:and': 210, 'conj:and/or': 211, 'conj:and:appos_extra': 212, 'conj:and:appos_extra:appos_extra': 213, 'conj:apparently': 214, 'conj:appos_extra': 215, 'conj:appos_extra:appos_extra': 216, 'conj:but': 217, 'conj:but:appos_extra': 218, 'conj:minus': 219, 'conj:negcc': 220, 'conj:negcc:appos_extra': 221, 'conj:nor': 222, 'conj:nor:appos_extra': 223, 'conj:not': 224, 'conj:or': 225, 'conj:or:appos_extra': 226, 'conj:plus': 227, 'conj:plus:appos_extra': 228, 'conj:so': 229, 'conj:v.': 230, 'conj:versus': 231, 'conj:vs': 232, 'conj:vs.': 233, 'conj:vs.:appos_extra': 234, 'conj:vs:appos_extra': 235, 'conj:x': 236, 'conj:yet': 237, 'cop': 238, 'cop:appos_extra': 239, 'csubj': 240, 'csubj:like-such-as_extra': 241, 'csubjpass': 242, 'dep': 243, 'dep:appos_extra': 244, 'dep:appos_extra:appos_extra': 245, 'dep:appos_extra:appos_extra:appos_extra': 246, 'det': 247, 'det:appos_extra': 248, 'det:predet': 249, 'det:qmod': 250, 'det:qmod:appos_extra': 251, 'discourse': 252, 'dobj': 253, 'dobj:appos_extra': 254, 'dobj:appos_extra:appos_extra': 255, 'dobj:appos_extra:appos_extra:appos_extra': 256, 'dobj:appos_extra:like-such-as_extra': 257, 'dobj:like-such-as_extra': 258, 'dobj:passive_extra': 259, 'dobj:reduced-relcl_extra': 260, 'dobj:reduced-relcl_extra:appos_extra': 261, 'dobj:reduced-relcl_extra:appos_extra:appos_extra': 262, 'dobj:reduced-relcl_extra:appos_extra:appos_extra:appos_extra': 263, 'dobj:reduced-relcl_extra:like-such-as_extra': 264, 'expl': 265, 'iobj': 266, 'iobj:appos_extra': 267, 'iobj:passive_extra': 268, 'mark': 269, 'mark:appos_extra': 270, 'mwe': 271, 'mwe:auto-mwe_extra': 272, 'neg': 273, 'nmod': 274, "nmod:'": 275, "nmod:':conj_extra_unc": 276, "nmod:':like-such-as_extra": 277, "nmod:'s": 278, "nmod:'s:appos_extra": 279, "nmod:'s:conj_extra_unc": 280, "nmod:'s:conj_extra_unc:appos_extra": 281, "nmod:'till": 282, 'nmod:*_according:auto-mwe_extra': 283, 'nmod:*_by:auto-mwe_extra': 284, 'nmod:*_by:auto-mwe_extra:appos_extra': 285, 'nmod:+': 286, 'nmod:+_for:auto-mwe_extra': 287, 'nmod:1,940.50_on:auto-mwe_extra': 288, 'nmod:1,965.89_on:auto-mwe_extra': 289, 'nmod:1,994.87_on:auto-mwe_extra': 290, 'nmod:2-0_at:auto-mwe_extra': 291, 'nmod:2-0_in:auto-mwe_extra': 292, 'nmod:23_under:auto-mwe_extra': 293, 'nmod:27_to:auto-mwe_extra': 294, 'nmod:30-17_in:auto-mwe_extra': 295, 'nmod:8264': 296, 'nmod:>_by:auto-mwe_extra': 297, 'nmod:>_with:auto-mwe_extra': 298, 'nmod:@': 299, 'nmod:@:appos_extra': 300, 'nmod:@:appos_extra:appos_extra': 301, 'nmod:@:conj_extra_unc': 302, 'nmod:Down:reduced-relcl_extra': 303, 'nmod:However:reduced-relcl_extra': 304, 'nmod:McLaren': 305, 'nmod:Out': 306, 'nmod:Really:reduced-relcl_extra': 307, 'nmod:Right:reduced-relcl_extra': 308, 'nmod:Running': 309, 'nmod:Then:reduced-relcl_extra': 310, 'nmod:_': 311, 'nmod:a.k.a.': 312, 'nmod:aboard': 313, 'nmod:aboard:appos_extra': 314, 'nmod:aboard:conj_extra_unc': 315, 'nmod:aboard:conj_extra_unc:appos_extra': 316, 'nmod:abouot': 317, 'nmod:about': 318, 'nmod:about:appos_extra': 319, 'nmod:about:appos_extra:appos_extra': 320, 'nmod:about:conj_extra_unc': 321, 'nmod:about:conj_extra_unc:appos_extra': 322, 'nmod:about:like-such-as_extra': 323, 'nmod:about:reduced-relcl_extra': 324, 'nmod:about_in:auto-mwe_extra': 325, 'nmod:about_through:auto-mwe_extra': 326, 'nmod:above': 327, 'nmod:above:appos_extra': 328, 'nmod:above:conj_extra_unc': 329, 'nmod:above:conj_extra_unc:appos_extra': 330, 'nmod:abroad:reduced-relcl_extra': 331, 'nmod:according': 332, 'nmod:according:appos_extra': 333, 'nmod:according:conj_extra_unc': 334, 'nmod:according_to': 335, 'nmod:according_to:appos_extra': 336, 'nmod:according_to:appos_extra:appos_extra': 337, 'nmod:according_to:conj_extra_unc': 338, 'nmod:according_to:conj_extra_unc:appos_extra': 339, 'nmod:according_to:conj_extra_unc:like-such-as_extra': 340, 'nmod:according_to:like-such-as_extra': 341, 'nmod:across': 342, 'nmod:across:appos_extra': 343, 'nmod:across:conj_extra_unc': 344, 'nmod:across_from:auto-mwe_extra': 345, 'nmod:actively:reduced-relcl_extra': 346, 'nmod:actively:reduced-relcl_extra:appos_extra': 347, 'nmod:actually:reduced-relcl_extra': 348, 'nmod:actually_on:auto-mwe_extra': 349, 'nmod:admittedly:reduced-relcl_extra': 350, 'nmod:advances': 351, 'nmod:affectionately_of:auto-mwe_extra': 352, 'nmod:after': 353, 'nmod:after:appos_extra': 354, 'nmod:after:appos_extra:appos_extra': 355, 'nmod:after:conj_extra_unc': 356, 'nmod:after:conj_extra_unc:appos_extra': 357, 'nmod:after:like-such-as_extra': 358, 'nmod:after_at:auto-mwe_extra': 359, 'nmod:afterward:reduced-relcl_extra': 360, 'nmod:again:reduced-relcl_extra': 361, 'nmod:against': 362, 'nmod:against:appos_extra': 363, 'nmod:against:appos_extra:appos_extra': 364, 'nmod:against:conj_extra_unc': 365, 'nmod:against:conj_extra_unc:appos_extra': 366, 'nmod:against:conj_extra_unc:like-such-as_extra': 367, 'nmod:against:like-such-as_extra': 368, 'nmod:agent': 369, 'nmod:agent:appos_extra': 370, 'nmod:agent:appos_extra:appos_extra': 371, 'nmod:agent:conj_extra_unc': 372, 'nmod:agent:conj_extra_unc:appos_extra': 373, 'nmod:agent:conj_extra_unc:like-such-as_extra': 374, 'nmod:agent:like-such-as_extra': 375, 'nmod:aggressively:reduced-relcl_extra': 376, 'nmod:ago': 377, 'nmod:ago:conj_extra_unc': 378, 'nmod:ago:reduced-relcl_extra': 379, 'nmod:ago_in:auto-mwe_extra': 380, 'nmod:ago_of:auto-mwe_extra': 381, 'nmod:ahead:reduced-relcl_extra': 382, 'nmod:ahead_by:auto-mwe_extra': 383, 'nmod:ahead_in:auto-mwe_extra': 384, 'nmod:ahead_of:auto-mwe_extra': 385, 'nmod:ahead_of:auto-mwe_extra:appos_extra': 386, 'nmod:ahead_of:auto-mwe_extra:like-such-as_extra': 387, 'nmod:ahead_on:auto-mwe_extra': 388, 'nmod:albeit': 389, 'nmod:albeit:conj_extra_unc': 390, 'nmod:albeit_from:auto-mwe_extra': 391, 'nmod:alight_for:auto-mwe_extra': 392, 'nmod:allegedly:reduced-relcl_extra': 393, 'nmod:alltel': 394, 'nmod:almost:reduced-relcl_extra': 395, 'nmod:alone_with:auto-mwe_extra': 396, 'nmod:along': 397, 'nmod:along:appos_extra': 398, 'nmod:along:conj_extra_unc': 399, 'nmod:along:conj_extra_unc:appos_extra': 400, 'nmod:along_at:auto-mwe_extra': 401, 'nmod:along_on:auto-mwe_extra': 402, 'nmod:along_with': 403, 'nmod:along_with:appos_extra': 404, 'nmod:along_with:auto-mwe_extra': 405, 'nmod:along_with:auto-mwe_extra:appos_extra': 406, 'nmod:along_with:conj_extra_unc': 407, 'nmod:along_with:conj_extra_unc:appos_extra': 408, 'nmod:along_with:like-such-as_extra': 409, 'nmod:alongside': 410, 'nmod:alongside:appos_extra': 411, 'nmod:alongside:conj_extra_unc': 412, 'nmod:alongside:like-such-as_extra': 413, 'nmod:already:reduced-relcl_extra': 414, 'nmod:also:reduced-relcl_extra': 415, 'nmod:also:reduced-relcl_extra:appos_extra': 416, 'nmod:also_at:auto-mwe_extra': 417, 'nmod:also_by:auto-mwe_extra': 418, 'nmod:always:reduced-relcl_extra': 419, 'nmod:am_at:auto-mwe_extra': 420, 'nmod:amid': 421, 'nmod:amid:conj_extra_unc': 422, 'nmod:amidst': 423, 'nmod:among': 424, 'nmod:among:appos_extra': 425, 'nmod:among:conj_extra_unc': 426, 'nmod:among:conj_extra_unc:appos_extra': 427, 'nmod:among:like-such-as_extra': 428, 'nmod:amongst': 429, 'nmod:and_with:auto-mwe_extra': 430, 'nmod:another_of:auto-mwe_extra': 431, 'nmod:anyways:reduced-relcl_extra': 432, 'nmod:anywhere_in:auto-mwe_extra': 433, 'nmod:apart_from': 434, 'nmod:apart_from:auto-mwe_extra': 435, 'nmod:apart_in:auto-mwe_extra': 436, 'nmod:apparent_to:auto-mwe_extra': 437, 'nmod:apparently:reduced-relcl_extra': 438, 'nmod:appos_extra': 439, 'nmod:appos_extra:appos_extra': 440, 'nmod:around': 441, 'nmod:around:appos_extra': 442, 'nmod:around:appos_extra:appos_extra': 443, 'nmod:around:conj_extra_unc': 444, 'nmod:around:like-such-as_extra': 445, 'nmod:around_as:auto-mwe_extra': 446, 'nmod:around_of:auto-mwe_extra': 447, 'nmod:as': 448, 'nmod:as:appos_extra': 449, 'nmod:as:appos_extra:appos_extra': 450, 'nmod:as:conj_extra_unc': 451, 'nmod:as:conj_extra_unc:appos_extra': 452, 'nmod:as:conj_extra_unc:like-such-as_extra': 453, 'nmod:as:like-such-as_extra': 454, 'nmod:as:reduced-relcl_extra': 455, 'nmod:as:reduced-relcl_extra:appos_extra': 456, 'nmod:as_for': 457, 'nmod:as_if': 458, 'nmod:as_of': 459, 'nmod:as_of:appos_extra': 460, 'nmod:as_of:conj_extra_unc': 461, 'nmod:as_per': 462, 'nmod:as_per:conj_extra_unc': 463, 'nmod:as_to': 464, 'nmod:as_to:conj_extra_unc': 465, 'nmod:aside:reduced-relcl_extra': 466, 'nmod:aside_from': 467, 'nmod:aside_from:auto-mwe_extra': 468, 'nmod:ast': 469, 'nmod:at': 470, 'nmod:at:appos_extra': 471, 'nmod:at:appos_extra:appos_extra': 472, 'nmod:at:appos_extra:appos_extra:appos_extra': 473, 'nmod:at:conj_extra_unc': 474, 'nmod:at:conj_extra_unc:appos_extra': 475, 'nmod:at:conj_extra_unc:like-such-as_extra': 476, 'nmod:at:like-such-as_extra': 477, 'nmod:at:reduced-relcl_extra': 478, 'nmod:atop': 479, 'nmod:atop:conj_extra_unc': 480, 'nmod:auto-mwe_extra': 481, 'nmod:auto-mwe_extra:appos_extra': 482, 'nmod:away:reduced-relcl_extra': 483, 'nmod:away_from': 484, 'nmod:away_from:appos_extra': 485, 'nmod:away_from:conj_extra_unc': 486, 'nmod:away_in:auto-mwe_extra': 487, 'nmod:away_of:auto-mwe_extra': 488, 'nmod:away_over:auto-mwe_extra': 489, 'nmod:away_to:auto-mwe_extra': 490, 'nmod:back:reduced-relcl_extra': 491, 'nmod:back_as:auto-mwe_extra': 492, 'nmod:back_by:auto-mwe_extra': 493, 'nmod:back_by:auto-mwe_extra:appos_extra': 494, 'nmod:back_for:auto-mwe_extra': 495, 'nmod:back_from:auto-mwe_extra': 496, 'nmod:back_into:auto-mwe_extra': 497, 'nmod:back_of:auto-mwe_extra': 498, 'nmod:back_on:auto-mwe_extra': 499, 'nmod:back_over:auto-mwe_extra': 500, 'nmod:back_through:auto-mwe_extra': 501, 'nmod:back_up:auto-mwe_extra': 502, 'nmod:back_with:auto-mwe_extra': 503, 'nmod:backstage:reduced-relcl_extra': 504, 'nmod:backstage_at:auto-mwe_extra': 505, 'nmod:based': 506, 'nmod:based:appos_extra': 507, 'nmod:based:conj_extra_unc': 508, 'nmod:based:conj_extra_unc:appos_extra': 509, 'nmod:based_on': 510, 'nmod:based_on:appos_extra': 511, 'nmod:based_on:conj_extra_unc': 512, 'nmod:basically:reduced-relcl_extra': 513, 'nmod:basically_to:auto-mwe_extra': 514, 'nmod:because_of': 515, 'nmod:because_of:appos_extra': 516, 'nmod:because_of:conj_extra_unc': 517, 'nmod:because_of:conj_extra_unc:like-such-as_extra': 518, 'nmod:because_of:like-such-as_extra': 519, 'nmod:before': 520, 'nmod:before:appos_extra': 521, 'nmod:before:conj_extra_unc': 522, 'nmod:before:like-such-as_extra': 523, 'nmod:before:reduced-relcl_extra': 524, 'nmod:before_by:auto-mwe_extra': 525, 'nmod:before_in:auto-mwe_extra': 526, 'nmod:beginning': 527, 'nmod:beginning:conj_extra_unc': 528, 'nmod:behind': 529, 'nmod:behind:appos_extra': 530, 'nmod:behind:conj_extra_unc': 531, 'nmod:behind_as:auto-mwe_extra': 532, 'nmod:below': 533, 'nmod:below:appos_extra': 534, 'nmod:below:conj_extra_unc': 535, 'nmod:below_of:auto-mwe_extra': 536, 'nmod:beneath': 537, 'nmod:beneath:conj_extra_unc': 538, 'nmod:beside': 539, 'nmod:beside:conj_extra_unc': 540, 'nmod:beside:like-such-as_extra': 541, 'nmod:besides': 542, 'nmod:besides:appos_extra': 543, 'nmod:besides:conj_extra_unc': 544, 'nmod:best_in:auto-mwe_extra': 545, 'nmod:better_at:auto-mwe_extra': 546, 'nmod:better_than:auto-mwe_extra': 547, 'nmod:between': 548, 'nmod:between:appos_extra': 549, 'nmod:between:appos_extra:appos_extra': 550, 'nmod:between:conj_extra_unc': 551, 'nmod:between:conj_extra_unc:appos_extra': 552, 'nmod:between:conj_extra_unc:like-such-as_extra': 553, 'nmod:between:like-such-as_extra': 554, 'nmod:beyond': 555, 'nmod:beyond:conj_extra_unc': 556, 'nmod:big_in:auto-mwe_extra': 557, 'nmod:blades': 558, 'nmod:broadly_than:auto-mwe_extra': 559, 'nmod:buried': 560, 'nmod:but': 561, 'nmod:by': 562, 'nmod:by:appos_extra': 563, 'nmod:by:appos_extra:appos_extra': 564, 'nmod:by:conj_extra_unc': 565, 'nmod:by:conj_extra_unc:appos_extra': 566, 'nmod:by:conj_extra_unc:appos_extra:appos_extra': 567, 'nmod:by:like-such-as_extra': 568, 'nmod:by:reduced-relcl_extra': 569, 'nmod:came_from:auto-mwe_extra': 570, 'nmod:case_of': 571, 'nmod:certainly_about:auto-mwe_extra': 572, 'nmod:clearly:reduced-relcl_extra': 573, 'nmod:clearly_between:auto-mwe_extra': 574, 'nmod:close_by': 575, 'nmod:close_to': 576, 'nmod:close_to:appos_extra': 577, 'nmod:close_to:auto-mwe_extra': 578, 'nmod:close_to:auto-mwe_extra:appos_extra': 579, 'nmod:close_to:conj_extra_unc': 580, 'nmod:close_with:auto-mwe_extra': 581, 'nmod:closer_to:auto-mwe_extra': 582, 'nmod:comic_in:auto-mwe_extra': 583, 'nmod:coming': 584, 'nmod:compared': 585, 'nmod:compared_to': 586, 'nmod:compared_to:like-such-as_extra': 587, 'nmod:compared_with': 588, 'nmod:compared_with:conj_extra_unc': 589, 'nmod:completely_in:auto-mwe_extra': 590, 'nmod:concerning': 591, 'nmod:conj_extra_unc': 592, 'nmod:conj_extra_unc:appos_extra': 593, 'nmod:conj_extra_unc:like-such-as_extra': 594, 'nmod:considering': 595, 'nmod:contrary_to': 596, 'nmod:contrary_to:auto-mwe_extra': 597, 'nmod:counter_to:auto-mwe_extra': 598, 'nmod:cryptically_of:auto-mwe_extra': 599, 'nmod:currently:reduced-relcl_extra': 600, 'nmod:daily:reduced-relcl_extra': 601, 'nmod:daily_in:auto-mwe_extra': 602, 'nmod:de': 603, 'nmod:de:appos_extra': 604, 'nmod:de:appos_extra:appos_extra': 605, 'nmod:dead_at:auto-mwe_extra': 606, 'nmod:dear_than:auto-mwe_extra': 607, 'nmod:depending': 608, 'nmod:depending:conj_extra_unc': 609, 'nmod:despite': 610, 'nmod:despite:conj_extra_unc': 611, 'nmod:differently_than:auto-mwe_extra': 612, 'nmod:difficult_since:auto-mwe_extra': 613, 'nmod:directly:reduced-relcl_extra': 614, 'nmod:double_in:auto-mwe_extra': 615, 'nmod:down': 616, 'nmod:down:appos_extra': 617, 'nmod:down:conj_extra_unc': 618, 'nmod:down:reduced-relcl_extra': 619, 'nmod:down_at:auto-mwe_extra': 620, 'nmod:down_by:auto-mwe_extra': 621, 'nmod:down_from:auto-mwe_extra': 622, 'nmod:down_from:auto-mwe_extra:appos_extra': 623, 'nmod:down_in:auto-mwe_extra': 624, 'nmod:down_of:auto-mwe_extra': 625, 'nmod:down_on:auto-mwe_extra': 626, 'nmod:down_on:auto-mwe_extra:appos_extra': 627, 'nmod:down_over:auto-mwe_extra': 628, 'nmod:down_to:auto-mwe_extra': 629, 'nmod:down_to:auto-mwe_extra:appos_extra': 630, 'nmod:down_with:auto-mwe_extra': 631, 'nmod:due': 632, 'nmod:due_from:auto-mwe_extra': 633, 'nmod:due_to': 634, 'nmod:due_to:appos_extra': 635, 'nmod:due_to:auto-mwe_extra': 636, 'nmod:due_to:conj_extra_unc': 637, 'nmod:during': 638, 'nmod:during:appos_extra': 639, 'nmod:during:conj_extra_unc': 640, 'nmod:during:conj_extra_unc:appos_extra': 641, 'nmod:during:like-such-as_extra': 642, 'nmod:eagerly:reduced-relcl_extra': 643, 'nmod:earlier:reduced-relcl_extra': 644, 'nmod:earlier_by:auto-mwe_extra': 645, 'nmod:earlier_during:auto-mwe_extra': 646, 'nmod:earlier_for:auto-mwe_extra': 647, 'nmod:earlier_of:auto-mwe_extra': 648, 'nmod:earlier_on:auto-mwe_extra': 649, 'nmod:earlier_on:auto-mwe_extra:appos_extra': 650, 'nmod:earlier_than:auto-mwe_extra': 651, 'nmod:early_as:auto-mwe_extra': 652, 'nmod:early_for:auto-mwe_extra': 653, 'nmod:early_on:auto-mwe_extra': 654, 'nmod:early_with:auto-mwe_extra': 655, 'nmod:east_of:auto-mwe_extra': 656, 'nmod:easy_for:auto-mwe_extra': 657, 'nmod:economically:reduced-relcl_extra': 658, 'nmod:effectively:reduced-relcl_extra': 659, 'nmod:effectively:reduced-relcl_extra:appos_extra': 660, 'nmod:else:reduced-relcl_extra': 661, 'nmod:else:reduced-relcl_extra:appos_extra': 662, 'nmod:elsewhere_across:auto-mwe_extra': 663, 'nmod:elsewhere_in:auto-mwe_extra': 664, 'nmod:elsewhere_such:auto-mwe_extra': 665, 'nmod:en': 666, 'nmod:en:appos_extra': 667, 'nmod:en:conj_extra_unc': 668, 'nmod:endless_through:auto-mwe_extra': 669, 'nmod:energetically:reduced-relcl_extra': 670, 'nmod:enough:reduced-relcl_extra': 671, 'nmod:enough_from:auto-mwe_extra': 672, 'nmod:enough_of:auto-mwe_extra': 673, 'nmod:enough_with:auto-mwe_extra': 674, 'nmod:entirely_about:auto-mwe_extra': 675, 'nmod:entirely_to:auto-mwe_extra': 676, 'nmod:erroneously:reduced-relcl_extra': 677, 'nmod:especially:reduced-relcl_extra': 678, 'nmod:even:reduced-relcl_extra': 679, 'nmod:even_for:auto-mwe_extra': 680, 'nmod:even_from:auto-mwe_extra': 681, 'nmod:even_with:auto-mwe_extra': 682, 'nmod:eventually:reduced-relcl_extra': 683, 'nmod:ever:reduced-relcl_extra': 684, 'nmod:everywhere:reduced-relcl_extra': 685, 'nmod:exceeding': 686, 'nmod:except': 687, 'nmod:except:conj_extra_unc': 688, 'nmod:except_for': 689, 'nmod:except_for:appos_extra': 690, 'nmod:except_for:conj_extra_unc': 691, 'nmod:excluding': 692, 'nmod:expected': 693, 'nmod:famously:reduced-relcl_extra': 694, 'nmod:famously_as:auto-mwe_extra': 695, 'nmod:famously_by:auto-mwe_extra': 696, 'nmod:far:reduced-relcl_extra': 697, 'nmod:far_along:auto-mwe_extra': 698, 'nmod:far_behind:auto-mwe_extra': 699, 'nmod:far_from': 700, 'nmod:far_from:conj_extra_unc': 701, 'nmod:far_in:auto-mwe_extra': 702, 'nmod:far_including:auto-mwe_extra': 703, 'nmod:far_of:auto-mwe_extra': 704, 'nmod:far_on:auto-mwe_extra': 705, 'nmod:far_within:auto-mwe_extra': 706, 'nmod:farther_than:auto-mwe_extra': 707, 'nmod:fast:reduced-relcl_extra': 708, 'nmod:faster_than:auto-mwe_extra': 709, 'nmod:fiercely:reduced-relcl_extra': 710, 'nmod:finally:reduced-relcl_extra': 711, 'nmod:finally:reduced-relcl_extra:appos_extra': 712, 'nmod:firmly:reduced-relcl_extra': 713, 'nmod:first:reduced-relcl_extra': 714, 'nmod:first:reduced-relcl_extra:like-such-as_extra': 715, 'nmod:first_as:auto-mwe_extra': 716, 'nmod:first_in:auto-mwe_extra': 717, 'nmod:first_of:auto-mwe_extra': 718, 'nmod:first_since:auto-mwe_extra': 719, 'nmod:first_to:auto-mwe_extra': 720, 'nmod:flatly:reduced-relcl_extra': 721, 'nmod:following': 722, 'nmod:following:appos_extra': 723, 'nmod:following:conj_extra_unc': 724, 'nmod:following:like-such-as_extra': 725, 'nmod:fondly_of:auto-mwe_extra': 726, 'nmod:for': 727, 'nmod:for:appos_extra': 728, 'nmod:for:appos_extra:appos_extra': 729, 'nmod:for:conj_extra_unc': 730, 'nmod:for:conj_extra_unc:appos_extra': 731, 'nmod:for:conj_extra_unc:appos_extra:appos_extra': 732, 'nmod:for:like-such-as_extra': 733, 'nmod:for:reduced-relcl_extra': 734, 'nmod:formally:reduced-relcl_extra': 735, 'nmod:formerly_of:auto-mwe_extra': 736, 'nmod:formerly_of:auto-mwe_extra:appos_extra': 737, 'nmod:forth:reduced-relcl_extra': 738, 'nmod:fortunately_for:auto-mwe_extra': 739, 'nmod:forward:reduced-relcl_extra': 740, 'nmod:forward_in:auto-mwe_extra': 741, 'nmod:forward_to:auto-mwe_extra': 742, 'nmod:fourfold_to:auto-mwe_extra': 743, 'nmod:fourfold_to:auto-mwe_extra:appos_extra': 744, 'nmod:fourth_in:auto-mwe_extra': 745, 'nmod:frequently:reduced-relcl_extra': 746, 'nmod:from': 747, 'nmod:from:appos_extra': 748, 'nmod:from:appos_extra:appos_extra': 749, 'nmod:from:conj_extra_unc': 750, 'nmod:from:conj_extra_unc:appos_extra': 751, 'nmod:from:conj_extra_unc:like-such-as_extra': 752, 'nmod:from:like-such-as_extra': 753, 'nmod:fully:reduced-relcl_extra': 754, 'nmod:fully:reduced-relcl_extra:appos_extra': 755, 'nmod:further_than:auto-mwe_extra': 756, 'nmod:gangs_in:auto-mwe_extra': 757, 'nmod:generally:reduced-relcl_extra': 758, 'nmod:generously:reduced-relcl_extra': 759, 'nmod:given': 760, 'nmod:given:conj_extra_unc': 761, 'nmod:gradually:reduced-relcl_extra': 762, 'nmod:gradually:reduced-relcl_extra:appos_extra': 763, 'nmod:greatly:reduced-relcl_extra': 764, 'nmod:had_on:auto-mwe_extra': 765, 'nmod:halfway_to:auto-mwe_extra': 766, 'nmod:harassment': 767, 'nmod:hard:reduced-relcl_extra': 768, 'nmod:harder_than:auto-mwe_extra': 769, 'nmod:hardly:reduced-relcl_extra': 770, 'nmod:hastily:reduced-relcl_extra': 771, 'nmod:heavily:reduced-relcl_extra': 772, 'nmod:hence_to:auto-mwe_extra': 773, 'nmod:here:reduced-relcl_extra': 774, 'nmod:here:reduced-relcl_extra:appos_extra': 775, 'nmod:here_in:auto-mwe_extra': 776, 'nmod:here_of:auto-mwe_extra': 777, 'nmod:here_on:auto-mwe_extra': 778, 'nmod:here_with:auto-mwe_extra': 779, 'nmod:high_for:auto-mwe_extra': 780, 'nmod:higher_on:auto-mwe_extra': 781, 'nmod:higher_than:auto-mwe_extra': 782, 'nmod:higher_than:auto-mwe_extra:appos_extra': 783, 'nmod:highly_of:auto-mwe_extra': 784, 'nmod:home_from:auto-mwe_extra': 785, 'nmod:home_in:auto-mwe_extra': 786, 'nmod:home_in:auto-mwe_extra:appos_extra': 787, 'nmod:home_to:auto-mwe_extra': 788, 'nmod:how_to:auto-mwe_extra': 789, 'nmod:http://wwwjamatdawahorg/_after:auto-mwe_extra': 790, 'nmod:ideally_in:auto-mwe_extra': 791, 'nmod:ideologically_with:auto-mwe_extra': 792, 'nmod:if': 793, 'nmod:if:conj_extra_unc': 794, 'nmod:ill:reduced-relcl_extra': 795, 'nmod:ill_of:auto-mwe_extra': 796, 'nmod:immediately:reduced-relcl_extra': 797, 'nmod:immensely:reduced-relcl_extra': 798, 'nmod:in': 799, 'nmod:in:appos_extra': 800, 'nmod:in:appos_extra:appos_extra': 801, 'nmod:in:appos_extra:like-such-as_extra': 802, 'nmod:in:conj_extra_unc': 803, 'nmod:in:conj_extra_unc:appos_extra': 804, 'nmod:in:conj_extra_unc:appos_extra:appos_extra': 805, 'nmod:in:conj_extra_unc:like-such-as_extra': 806, 'nmod:in:like-such-as_extra': 807, 'nmod:in:reduced-relcl_extra': 808, 'nmod:in_accordance_with': 809, 'nmod:in_accordance_with:appos_extra': 810, 'nmod:in_accordance_with:conj_extra_unc': 811, 'nmod:in_accordance_with:conj_extra_unc:appos_extra': 812, 'nmod:in_addition_to': 813, 'nmod:in_addition_to:appos_extra': 814, 'nmod:in_addition_to:conj_extra_unc': 815, 'nmod:in_case_of': 816, 'nmod:in_front_of': 817, 'nmod:in_front_of:appos_extra': 818, 'nmod:in_front_of:conj_extra_unc': 819, 'nmod:in_front_of:conj_extra_unc:appos_extra': 820, 'nmod:in_front_of:like-such-as_extra': 821, 'nmod:in_lieu_of': 822, 'nmod:in_order': 823, 'nmod:in_place_of': 824, 'nmod:in_place_of:appos_extra': 825, 'nmod:in_place_of:conj_extra_unc': 826, 'nmod:in_spite_of': 827, 'nmod:including': 828, 'nmod:including:appos_extra': 829, 'nmod:including:appos_extra:appos_extra': 830, 'nmod:including:conj_extra_unc': 831, 'nmod:including:conj_extra_unc:appos_extra': 832, 'nmod:including:like-such-as_extra': 833, 'nmod:independently_of:auto-mwe_extra': 834, 'nmod:inexplicably:reduced-relcl_extra': 835, 'nmod:initially:reduced-relcl_extra': 836, 'nmod:inside': 837, 'nmod:inside:appos_extra': 838, 'nmod:inside:appos_extra:appos_extra': 839, 'nmod:inside:conj_extra_unc': 840, 'nmod:inside:conj_extra_unc:appos_extra': 841, 'nmod:inside:like-such-as_extra': 842, 'nmod:inside_of:auto-mwe_extra': 843, 'nmod:instantly:reduced-relcl_extra': 844, 'nmod:instead_of': 845, 'nmod:instead_of:appos_extra': 846, 'nmod:instead_of:conj_extra_unc': 847, 'nmod:internationally:reduced-relcl_extra': 848, 'nmod:into': 849, 'nmod:into:appos_extra': 850, 'nmod:into:conj_extra_unc': 851, 'nmod:into:conj_extra_unc:appos_extra': 852, 'nmod:into:like-such-as_extra': 853, 'nmod:involving': 854, 'nmod:irrespective_of:auto-mwe_extra': 855, 'nmod:ist': 856, 'nmod:jointly:reduced-relcl_extra': 857, 'nmod:just:reduced-relcl_extra': 858, 'nmod:largely:reduced-relcl_extra': 859, 'nmod:last_in:auto-mwe_extra': 860, 'nmod:late_against:auto-mwe_extra': 861, 'nmod:late_at:auto-mwe_extra': 862, 'nmod:late_on:auto-mwe_extra': 863, 'nmod:later:reduced-relcl_extra': 864, 'nmod:later_after:auto-mwe_extra': 865, 'nmod:later_at:auto-mwe_extra': 866, 'nmod:later_in:auto-mwe_extra': 867, 'nmod:later_of:auto-mwe_extra': 868, 'nmod:later_on:auto-mwe_extra': 869, 'nmod:later_than:auto-mwe_extra': 870, 'nmod:later_than:auto-mwe_extra:appos_extra': 871, 'nmod:later_with:auto-mwe_extra': 872, 'nmod:least_on:auto-mwe_extra': 873, 'nmod:less_in:auto-mwe_extra': 874, 'nmod:less_than:auto-mwe_extra': 875, 'nmod:less_than:auto-mwe_extra:appos_extra': 876, 'nmod:liberal_after:auto-mwe_extra': 877, 'nmod:liberal_after:auto-mwe_extra:appos_extra': 878, 'nmod:like': 879, 'nmod:like-such-as_extra': 880, 'nmod:like:appos_extra': 881, 'nmod:like:appos_extra:like-such-as_extra': 882, 'nmod:like:conj_extra_unc': 883, 'nmod:like:conj_extra_unc:appos_extra': 884, 'nmod:like:like-such-as_extra': 885, 'nmod:little_of:auto-mwe_extra': 886, 'nmod:long:reduced-relcl_extra': 887, 'nmod:long_before:auto-mwe_extra': 888, 'nmod:lower_than:auto-mwe_extra': 889, 'nmod:luckily_for:auto-mwe_extra': 890, 'nmod:mainly_to:auto-mwe_extra': 891, 'nmod:matches_in:auto-mwe_extra': 892, 'nmod:member': 893, 'nmod:merely:reduced-relcl_extra': 894, 'nmod:minus': 895, 'nmod:minus:appos_extra': 896, 'nmod:monitoring': 897, 'nmod:more_about:auto-mwe_extra': 898, 'nmod:more_as:auto-mwe_extra': 899, 'nmod:more_between:auto-mwe_extra': 900, 'nmod:more_for:auto-mwe_extra': 901, 'nmod:more_in:auto-mwe_extra': 902, 'nmod:more_of:auto-mwe_extra': 903, 'nmod:more_than:auto-mwe_extra': 904, 'nmod:more_with:auto-mwe_extra': 905, 'nmod:most_of:auto-mwe_extra': 906, 'nmod:mostly:reduced-relcl_extra': 907, 'nmod:mostly_of:auto-mwe_extra': 908, 'nmod:much:reduced-relcl_extra': 909, 'nmod:much_for:auto-mwe_extra': 910, 'nmod:much_from:auto-mwe_extra': 911, 'nmod:much_including:auto-mwe_extra': 912, 'nmod:much_into:auto-mwe_extra': 913, 'nmod:much_like:auto-mwe_extra': 914, 'nmod:much_of:auto-mwe_extra': 915, 'nmod:much_to:auto-mwe_extra': 916, 'nmod:na': 917, 'nmod:near': 918, 'nmod:near:appos_extra': 919, 'nmod:near:conj_extra_unc': 920, 'nmod:near:conj_extra_unc:appos_extra': 921, 'nmod:near_for:auto-mwe_extra': 922, 'nmod:nearby:reduced-relcl_extra': 923, 'nmod:nevertheless:reduced-relcl_extra': 924, 'nmod:next': 925, 'nmod:next:conj_extra_unc': 926, 'nmod:next_at:auto-mwe_extra': 927, 'nmod:next_to': 928, 'nmod:next_to:appos_extra': 929, 'nmod:no': 930, 'nmod:nonetheless:reduced-relcl_extra': 931, 'nmod:north_of:auto-mwe_extra': 932, 'nmod:northeast_of:auto-mwe_extra': 933, 'nmod:northeast_of:auto-mwe_extra:appos_extra': 934, 'nmod:northwest_of:auto-mwe_extra': 935, 'nmod:northwest_of:auto-mwe_extra:appos_extra': 936, 'nmod:not:reduced-relcl_extra': 937, 'nmod:notably:reduced-relcl_extra': 938, 'nmod:notably_for:auto-mwe_extra': 939, 'nmod:notably_from:auto-mwe_extra': 940, 'nmod:notwithstanding': 941, 'nmod:now:reduced-relcl_extra': 942, 'nmod:now_of:auto-mwe_extra': 943, 'nmod:now_on:auto-mwe_extra': 944, 'nmod:now_than:auto-mwe_extra': 945, 'nmod:now_to:auto-mwe_extra': 946, 'nmod:now_to:auto-mwe_extra:appos_extra': 947, 'nmod:now_with:auto-mwe_extra': 948, 'nmod:nowhere:reduced-relcl_extra': 949, 'nmod:oblivious_to:auto-mwe_extra': 950, 'nmod:of': 951, 'nmod:of:appos_extra': 952, 'nmod:of:appos_extra:appos_extra': 953, 'nmod:of:appos_extra:appos_extra:appos_extra': 954, 'nmod:of:appos_extra:like-such-as_extra': 955, 'nmod:of:conj_extra_unc': 956, 'nmod:of:conj_extra_unc:appos_extra': 957, 'nmod:of:conj_extra_unc:appos_extra:appos_extra': 958, 'nmod:of:conj_extra_unc:like-such-as_extra': 959, 'nmod:of:like-such-as_extra': 960, 'nmod:of:reduced-relcl_extra': 961, 'nmod:off': 962, 'nmod:off:appos_extra': 963, 'nmod:off:conj_extra_unc': 964, 'nmod:off:conj_extra_unc:appos_extra': 965, 'nmod:off_about:auto-mwe_extra': 966, 'nmod:off_near:auto-mwe_extra': 967, 'nmod:off_of': 968, 'nmod:off_of:auto-mwe_extra': 969, 'nmod:off_of:conj_extra_unc': 970, 'nmod:off_to:auto-mwe_extra': 971, 'nmod:officially:reduced-relcl_extra': 972, 'nmod:officially_from:auto-mwe_extra': 973, 'nmod:often:reduced-relcl_extra': 974, 'nmod:on': 975, 'nmod:on:appos_extra': 976, 'nmod:on:appos_extra:appos_extra': 977, 'nmod:on:conj_extra_unc': 978, 'nmod:on:conj_extra_unc:appos_extra': 979, 'nmod:on:conj_extra_unc:like-such-as_extra': 980, 'nmod:on:like-such-as_extra': 981, 'nmod:on:reduced-relcl_extra': 982, 'nmod:on_account_of': 983, 'nmod:on_behalf_of': 984, 'nmod:on_behalf_of:appos_extra': 985, 'nmod:on_behalf_of:conj_extra_unc': 986, 'nmod:on_behalf_of:conj_extra_unc:appos_extra': 987, 'nmod:on_from:auto-mwe_extra': 988, 'nmod:on_top_of': 989, 'nmod:on_top_of:conj_extra_unc': 990, 'nmod:once': 991, 'nmod:once:reduced-relcl_extra': 992, 'nmod:once_for:auto-mwe_extra': 993, 'nmod:once_in:auto-mwe_extra': 994, 'nmod:only:reduced-relcl_extra': 995, 'nmod:only_in:auto-mwe_extra': 996, 'nmod:only_of:auto-mwe_extra': 997, 'nmod:only_to:auto-mwe_extra': 998, 'nmod:onstage:reduced-relcl_extra': 999, 'nmod:onto': 1000, 'nmod:onto:conj_extra_unc': 1001, 'nmod:open_with:auto-mwe_extra': 1002, 'nmod:or_with:auto-mwe_extra': 1003, 'nmod:originally:reduced-relcl_extra': 1004, 'nmod:originally_of:auto-mwe_extra': 1005, 'nmod:other_than:auto-mwe_extra': 1006, 'nmod:out': 1007, 'nmod:out:conj_extra_unc': 1008, 'nmod:out_at:auto-mwe_extra': 1009, 'nmod:out_from:auto-mwe_extra': 1010, 'nmod:out_of': 1011, 'nmod:out_of:appos_extra': 1012, 'nmod:out_of:auto-mwe_extra': 1013, 'nmod:out_of:conj_extra_unc': 1014, 'nmod:out_of:conj_extra_unc:appos_extra': 1015, 'nmod:out_to:auto-mwe_extra': 1016, 'nmod:out_with:auto-mwe_extra': 1017, 'nmod:outright_instead:auto-mwe_extra': 1018, 'nmod:outside': 1019, 'nmod:outside:appos_extra': 1020, 'nmod:outside:conj_extra_unc': 1021, 'nmod:outside:conj_extra_unc:appos_extra': 1022, 'nmod:outside_of': 1023, 'nmod:over': 1024, 'nmod:over:appos_extra': 1025, 'nmod:over:appos_extra:appos_extra': 1026, 'nmod:over:appos_extra:like-such-as_extra': 1027, 'nmod:over:conj_extra_unc': 1028, 'nmod:over:conj_extra_unc:appos_extra': 1029, 'nmod:over:reduced-relcl_extra': 1030, 'nmod:over_at:auto-mwe_extra': 1031, 'nmod:over_during:auto-mwe_extra': 1032, 'nmod:over_of:auto-mwe_extra': 1033, 'nmod:over_to:auto-mwe_extra': 1034, 'nmod:overseas:reduced-relcl_extra': 1035, 'nmod:overwhelmingly:reduced-relcl_extra': 1036, 'nmod:past': 1037, 'nmod:past:conj_extra_unc': 1038, 'nmod:pending': 1039, 'nmod:per': 1040, 'nmod:per:appos_extra': 1041, 'nmod:per:conj_extra_unc': 1042, 'nmod:percent_despite:auto-mwe_extra': 1043, 'nmod:percent_from:auto-mwe_extra': 1044, 'nmod:percent_in:auto-mwe_extra': 1045, 'nmod:percent_over:auto-mwe_extra': 1046, 'nmod:percent_with:auto-mwe_extra': 1047, 'nmod:perfectly_with:auto-mwe_extra': 1048, 'nmod:personally:reduced-relcl_extra': 1049, 'nmod:plus': 1050, 'nmod:plus:conj_extra_unc': 1051, 'nmod:poorly:reduced-relcl_extra': 1052, 'nmod:popular_on:auto-mwe_extra': 1053, 'nmod:poss': 1054, 'nmod:poss:appos_extra': 1055, 'nmod:poss:conj_extra_unc': 1056, 'nmod:poss:conj_extra_unc:appos_extra': 1057, 'nmod:poss:conj_extra_unc:like-such-as_extra': 1058, 'nmod:poss:like-such-as_extra': 1059, "nmod:poss:there_'s:auto-mwe_extra": 1060, 'nmod:powerfully:reduced-relcl_extra': 1061, 'nmod:previously:reduced-relcl_extra': 1062, 'nmod:principally_to:auto-mwe_extra': 1063, 'nmod:prior_of:auto-mwe_extra': 1064, 'nmod:prior_of:auto-mwe_extra:appos_extra': 1065, 'nmod:prior_to': 1066, 'nmod:prior_to:auto-mwe_extra': 1067, 'nmod:prior_to:auto-mwe_extra:appos_extra': 1068, 'nmod:probably:reduced-relcl_extra': 1069, 'nmod:prominently:reduced-relcl_extra': 1070, 'nmod:promoted': 1071, 'nmod:protest': 1072, 'nmod:publicly:reduced-relcl_extra': 1073, 'nmod:pursuant_to': 1074, 'nmod:quickly:reduced-relcl_extra': 1075, 'nmod:quickly_on:auto-mwe_extra': 1076, 'nmod:quite:reduced-relcl_extra': 1077, 'nmod:radically:reduced-relcl_extra': 1078, 'nmod:rather:reduced-relcl_extra': 1079, 'nmod:rather_than': 1080, 'nmod:rather_than:appos_extra': 1081, 'nmod:rather_than:like-such-as_extra': 1082, 'nmod:really:reduced-relcl_extra': 1083, 'nmod:really:reduced-relcl_extra:appos_extra': 1084, 'nmod:recently:reduced-relcl_extra': 1085, 'nmod:recently_as:auto-mwe_extra': 1086, 'nmod:recently_in:auto-mwe_extra': 1087, 'nmod:recently_of:auto-mwe_extra': 1088, 'nmod:reduced-relcl_extra': 1089, 'nmod:reduced-relcl_extra:appos_extra': 1090, 'nmod:regarding': 1091, 'nmod:regarding:conj_extra_unc': 1092, 'nmod:regardless_of': 1093, 'nmod:regardless_of:appos_extra': 1094, 'nmod:regardless_of:conj_extra_unc': 1095, 'nmod:regularly:reduced-relcl_extra': 1096, 'nmod:repeatedly:reduced-relcl_extra': 1097, 'nmod:reportedly:reduced-relcl_extra': 1098, 'nmod:respectively_behind:auto-mwe_extra': 1099, 'nmod:richly:reduced-relcl_extra': 1100, 'nmod:right:reduced-relcl_extra': 1101, 'nmod:right_as:auto-mwe_extra': 1102, 'nmod:right_through:auto-mwe_extra': 1103, 'nmod:right_to:auto-mwe_extra': 1104, 'nmod:routinely:reduced-relcl_extra': 1105, 'nmod:sac_for:auto-mwe_extra': 1106, 'nmod:safely_in:auto-mwe_extra': 1107, 'nmod:scared_of:auto-mwe_extra': 1108, 'nmod:seamlessly_across:auto-mwe_extra': 1109, 'nmod:second_in:auto-mwe_extra': 1110, 'nmod:second_to:auto-mwe_extra': 1111, 'nmod:second_with:auto-mwe_extra': 1112, 'nmod:secretly:reduced-relcl_extra': 1113, 'nmod:secretly_inside:auto-mwe_extra': 1114, 'nmod:separately_from:auto-mwe_extra': 1115, 'nmod:sequentially_per:auto-mwe_extra': 1116, 'nmod:seriously:reduced-relcl_extra': 1117, 'nmod:setbacks': 1118, 'nmod:share_after:auto-mwe_extra': 1119, 'nmod:sharply_than:auto-mwe_extra': 1120, 'nmod:short_of:auto-mwe_extra': 1121, 'nmod:shy_of:auto-mwe_extra': 1122, 'nmod:significantly:reduced-relcl_extra': 1123, 'nmod:simply:reduced-relcl_extra': 1124, 'nmod:since': 1125, 'nmod:since:appos_extra': 1126, 'nmod:since:conj_extra_unc': 1127, 'nmod:since_for:auto-mwe_extra': 1128, 'nmod:sincerely:reduced-relcl_extra': 1129, 'nmod:slightly_from:auto-mwe_extra': 1130, 'nmod:so': 1131, 'nmod:so:conj_extra_unc': 1132, 'nmod:so:reduced-relcl_extra': 1133, 'nmod:so_by:auto-mwe_extra': 1134, 'nmod:so_for:auto-mwe_extra': 1135, 'nmod:so_for:auto-mwe_extra:appos_extra': 1136, 'nmod:so_to:auto-mwe_extra': 1137, 'nmod:somehow:reduced-relcl_extra': 1138, 'nmod:sometime_in:auto-mwe_extra': 1139, 'nmod:somewhere_along:auto-mwe_extra': 1140, 'nmod:somewhere_in:auto-mwe_extra': 1141, 'nmod:somewhere_outside:auto-mwe_extra': 1142, 'nmod:sorely:reduced-relcl_extra': 1143, 'nmod:sort_of:auto-mwe_extra': 1144, 'nmod:south_of:auto-mwe_extra': 1145, 'nmod:south_on:auto-mwe_extra': 1146, 'nmod:southwest_of:auto-mwe_extra': 1147, 'nmod:spring_into:auto-mwe_extra': 1148, 'nmod:starting': 1149, 'nmod:starting:appos_extra': 1150, 'nmod:still:reduced-relcl_extra': 1151, 'nmod:still_of:auto-mwe_extra': 1152, 'nmod:still_of:auto-mwe_extra:appos_extra': 1153, 'nmod:still_of:auto-mwe_extra:appos_extra:appos_extra': 1154, 'nmod:straight_to:auto-mwe_extra': 1155, 'nmod:strongly:reduced-relcl_extra': 1156, 'nmod:such_as': 1157, 'nmod:such_as:appos_extra': 1158, 'nmod:such_as:appos_extra:appos_extra': 1159, 'nmod:such_as:conj_extra_unc': 1160, 'nmod:such_as:conj_extra_unc:appos_extra': 1161, 'nmod:such_as:like-such-as_extra': 1162, 'nmod:symmetrically:reduced-relcl_extra': 1163, 'nmod:t': 1164, 'nmod:temporarily:reduced-relcl_extra': 1165, 'nmod:temporarily_for:auto-mwe_extra': 1166, 'nmod:temporarily_to:auto-mwe_extra': 1167, 'nmod:than': 1168, 'nmod:than:appos_extra': 1169, 'nmod:than:appos_extra:appos_extra': 1170, 'nmod:than:conj_extra_unc': 1171, 'nmod:than:conj_extra_unc:appos_extra': 1172, 'nmod:than:conj_extra_unc:appos_extra:appos_extra': 1173, 'nmod:than:like-such-as_extra': 1174, 'nmod:thanks_to:auto-mwe_extra': 1175, 'nmod:that_of:auto-mwe_extra': 1176, 'nmod:theh': 1177, 'nmod:then:reduced-relcl_extra': 1178, 'nmod:then:reduced-relcl_extra:appos_extra': 1179, 'nmod:then_in:auto-mwe_extra': 1180, 'nmod:then_of:auto-mwe_extra': 1181, 'nmod:then_on:auto-mwe_extra': 1182, 'nmod:then_with:auto-mwe_extra': 1183, 'nmod:then_with:auto-mwe_extra:appos_extra': 1184, 'nmod:there:reduced-relcl_extra': 1185, 'nmod:there_for:auto-mwe_extra': 1186, 'nmod:there_in:auto-mwe_extra': 1187, 'nmod:there_with:auto-mwe_extra': 1188, 'nmod:though': 1189, 'nmod:though:appos_extra': 1190, 'nmod:though:conj_extra_unc': 1191, 'nmod:though:reduced-relcl_extra': 1192, 'nmod:though_of:auto-mwe_extra': 1193, 'nmod:threefold_from:auto-mwe_extra': 1194, 'nmod:through': 1195, 'nmod:through:appos_extra': 1196, 'nmod:through:appos_extra:appos_extra': 1197, 'nmod:through:conj_extra_unc': 1198, 'nmod:through:conj_extra_unc:appos_extra': 1199, 'nmod:through:conj_extra_unc:like-such-as_extra': 1200, 'nmod:through:like-such-as_extra': 1201, 'nmod:throughout': 1202, 'nmod:throughout:appos_extra': 1203, 'nmod:throughout:conj_extra_unc': 1204, 'nmod:thru': 1205, 'nmod:thru:appos_extra': 1206, 'nmod:thurs': 1207, 'nmod:till': 1208, 'nmod:tmod': 1209, 'nmod:tmod:appos_extra': 1210, 'nmod:tmod:appos_extra:appos_extra': 1211, 'nmod:tmod:conj_extra_unc': 1212, 'nmod:tmod:conj_extra_unc:appos_extra': 1213, 'nmod:to': 1214, 'nmod:to:appos_extra': 1215, 'nmod:to:appos_extra:appos_extra': 1216, 'nmod:to:appos_extra:appos_extra:appos_extra': 1217, 'nmod:to:conj_extra_unc': 1218, 'nmod:to:conj_extra_unc:appos_extra': 1219, 'nmod:to:conj_extra_unc:like-such-as_extra': 1220, 'nmod:to:like-such-as_extra': 1221, 'nmod:together:reduced-relcl_extra': 1222, 'nmod:together_of:auto-mwe_extra': 1223, 'nmod:together_with': 1224, 'nmod:together_with:auto-mwe_extra': 1225, 'nmod:together_with:conj_extra_unc': 1226, 'nmod:toward': 1227, 'nmod:toward:appos_extra': 1228, 'nmod:toward:conj_extra_unc': 1229, 'nmod:toward:like-such-as_extra': 1230, 'nmod:towards': 1231, 'nmod:towards:appos_extra': 1232, 'nmod:towards:conj_extra_unc': 1233, 'nmod:traditionally:reduced-relcl_extra': 1234, 'nmod:twice:reduced-relcl_extra': 1235, 'nmod:twice_to:auto-mwe_extra': 1236, 'nmod:typically_with:auto-mwe_extra': 1237, 'nmod:under': 1238, 'nmod:under:appos_extra': 1239, 'nmod:under:conj_extra_unc': 1240, 'nmod:under:conj_extra_unc:appos_extra': 1241, 'nmod:under:reduced-relcl_extra': 1242, 'nmod:underground:reduced-relcl_extra': 1243, 'nmod:underground:reduced-relcl_extra:appos_extra': 1244, 'nmod:underneath': 1245, 'nmod:unexpectedly_of:auto-mwe_extra': 1246, 'nmod:unfairly:reduced-relcl_extra': 1247, 'nmod:unless': 1248, 'nmod:unlike': 1249, 'nmod:unlike:appos_extra': 1250, 'nmod:unlike:conj_extra_unc': 1251, 'nmod:unlike:like-such-as_extra': 1252, 'nmod:unsure_about:auto-mwe_extra': 1253, 'nmod:until': 1254, 'nmod:until:appos_extra': 1255, 'nmod:until:appos_extra:appos_extra': 1256, 'nmod:until:conj_extra_unc': 1257, 'nmod:until:conj_extra_unc:appos_extra': 1258, 'nmod:until:conj_extra_unc:appos_extra:appos_extra': 1259, 'nmod:up': 1260, 'nmod:up:appos_extra': 1261, 'nmod:up:conj_extra_unc': 1262, 'nmod:up:reduced-relcl_extra': 1263, 'nmod:up_against:auto-mwe_extra': 1264, 'nmod:up_against:auto-mwe_extra:appos_extra': 1265, 'nmod:up_as:auto-mwe_extra': 1266, 'nmod:up_at:auto-mwe_extra': 1267, 'nmod:up_by:auto-mwe_extra': 1268, 'nmod:up_for:auto-mwe_extra': 1269, 'nmod:up_from:auto-mwe_extra': 1270, 'nmod:up_from:auto-mwe_extra:appos_extra': 1271, 'nmod:up_in:auto-mwe_extra': 1272, 'nmod:up_near:auto-mwe_extra': 1273, 'nmod:up_of:auto-mwe_extra': 1274, 'nmod:up_on:auto-mwe_extra': 1275, 'nmod:up_over:auto-mwe_extra': 1276, 'nmod:up_to:auto-mwe_extra': 1277, 'nmod:up_to:auto-mwe_extra:appos_extra': 1278, 'nmod:up_with:auto-mwe_extra': 1279, 'nmod:up_with:auto-mwe_extra:appos_extra': 1280, 'nmod:upon': 1281, 'nmod:upon:appos_extra': 1282, 'nmod:upon:conj_extra_unc': 1283, 'nmod:upon:like-such-as_extra': 1284, 'nmod:upward_of:auto-mwe_extra': 1285, 'nmod:v.': 1286, 'nmod:v.:appos_extra': 1287, 'nmod:vehemently:reduced-relcl_extra': 1288, 'nmod:via': 1289, 'nmod:via:appos_extra': 1290, 'nmod:via:conj_extra_unc': 1291, 'nmod:vigorously:reduced-relcl_extra': 1292, 'nmod:vigorously_than:auto-mwe_extra': 1293, 'nmod:vigorously_than:auto-mwe_extra:appos_extra': 1294, 'nmod:violently:reduced-relcl_extra': 1295, 'nmod:vs.': 1296, 'nmod:vs.:appos_extra': 1297, 'nmod:vs.:conj_extra_unc': 1298, 'nmod:week-out': 1299, 'nmod:weeks_after:auto-mwe_extra': 1300, 'nmod:well:reduced-relcl_extra': 1301, 'nmod:west_of:auto-mwe_extra': 1302, 'nmod:west_to:auto-mwe_extra': 1303, 'nmod:when': 1304, 'nmod:when_next:auto-mwe_extra': 1305, 'nmod:when_under:auto-mwe_extra': 1306, 'nmod:whether': 1307, 'nmod:while': 1308, 'nmod:while:conj_extra_unc': 1309, 'nmod:while_at:auto-mwe_extra': 1310, 'nmod:while_in:auto-mwe_extra': 1311, 'nmod:while_on:auto-mwe_extra': 1312, 'nmod:while_under:auto-mwe_extra': 1313, 'nmod:whilst': 1314, 'nmod:whilst:conj_extra_unc': 1315, 'nmod:with': 1316, 'nmod:with:appos_extra': 1317, 'nmod:with:appos_extra:appos_extra': 1318, 'nmod:with:conj_extra_unc': 1319, 'nmod:with:conj_extra_unc:appos_extra': 1320, 'nmod:with:conj_extra_unc:appos_extra:appos_extra': 1321, 'nmod:with:conj_extra_unc:like-such-as_extra': 1322, 'nmod:with:like-such-as_extra': 1323, 'nmod:with:reduced-relcl_extra': 1324, 'nmod:with_regard_to': 1325, 'nmod:with_regard_to:appos_extra': 1326, 'nmod:with_respect_to': 1327, 'nmod:within': 1328, 'nmod:within:appos_extra': 1329, 'nmod:within:conj_extra_unc': 1330, 'nmod:within:conj_extra_unc:appos_extra': 1331, 'nmod:without': 1332, 'nmod:without:appos_extra': 1333, 'nmod:without:conj_extra_unc': 1334, 'nmod:without:like-such-as_extra': 1335, 'nmod:worldwide:reduced-relcl_extra': 1336, 'nmod:worldwide_to:auto-mwe_extra': 1337, 'nmod:worldwide_with:auto-mwe_extra': 1338, 'nmod:worse_against:auto-mwe_extra': 1339, 'nmod:worse_than:auto-mwe_extra': 1340, 'nmod:worth': 1341, 'nmod:worth:appos_extra': 1342, 'nmod:wrong_in:auto-mwe_extra': 1343, 'nmod:year_on:auto-mwe_extra': 1344, 'nmod:yes:reduced-relcl_extra': 1345, 'nmod:yet:reduced-relcl_extra': 1346, 'nmod:yet_of:auto-mwe_extra': 1347, 'nmod:yuan_from:auto-mwe_extra': 1348, 'nsubj': 1349, 'nsubj:acl_extra': 1350, 'nsubj:acl_extra:appos_extra': 1351, 'nsubj:acl_extra:appos_extra:appos_extra': 1352, 'nsubj:acl_extra:like-such-as_extra': 1353, 'nsubj:acl_extra_id=0': 1354, 'nsubj:acl_extra_id=0:appos_extra': 1355, 'nsubj:acl_extra_id=0:appos_extra:appos_extra': 1356, 'nsubj:acl_extra_id=0:appos_extra:appos_extra:appos_extra': 1357, 'nsubj:acl_extra_id=0:like-such-as_extra': 1358, 'nsubj:acl_extra_id=1': 1359, 'nsubj:acl_extra_id=10': 1360, 'nsubj:acl_extra_id=11': 1361, 'nsubj:acl_extra_id=12': 1362, 'nsubj:acl_extra_id=1:appos_extra': 1363, 'nsubj:acl_extra_id=1:appos_extra:appos_extra': 1364, 'nsubj:acl_extra_id=1:like-such-as_extra': 1365, 'nsubj:acl_extra_id=2': 1366, 'nsubj:acl_extra_id=2:appos_extra': 1367, 'nsubj:acl_extra_id=2:appos_extra:appos_extra': 1368, 'nsubj:acl_extra_id=2:like-such-as_extra': 1369, 'nsubj:acl_extra_id=3': 1370, 'nsubj:acl_extra_id=3:appos_extra': 1371, 'nsubj:acl_extra_id=3:appos_extra:appos_extra': 1372, 'nsubj:acl_extra_id=3:like-such-as_extra': 1373, 'nsubj:acl_extra_id=4': 1374, 'nsubj:acl_extra_id=5': 1375, 'nsubj:acl_extra_id=6': 1376, 'nsubj:acl_extra_id=7': 1377, 'nsubj:acl_extra_id=8': 1378, 'nsubj:acl_extra_id=9': 1379, 'nsubj:advcl_extra': 1380, 'nsubj:advcl_extra:appos_extra': 1381, 'nsubj:advcl_extra:appos_extra:appos_extra': 1382, 'nsubj:advcl_extra:like-such-as_extra': 1383, 'nsubj:advcl_extra_id=0': 1384, 'nsubj:advcl_extra_id=0:appos_extra': 1385, 'nsubj:advcl_extra_id=0:appos_extra:appos_extra': 1386, 'nsubj:advcl_extra_id=0:appos_extra:like-such-as_extra': 1387, 'nsubj:advcl_extra_id=0:like-such-as_extra': 1388, 'nsubj:advcl_extra_id=1': 1389, 'nsubj:advcl_extra_id=1:appos_extra': 1390, 'nsubj:advcl_extra_id=2': 1391, 'nsubj:advcl_extra_id=3': 1392, 'nsubj:advcl_extra_id=4': 1393, 'nsubj:appos_extra': 1394, 'nsubj:appos_extra:appos_extra': 1395, 'nsubj:appos_extra:appos_extra:appos_extra': 1396, 'nsubj:appos_extra:like-such-as_extra': 1397, 'nsubj:dep_extra_unc_id=0': 1398, 'nsubj:dep_extra_unc_id=0:appos_extra': 1399, 'nsubj:dep_extra_unc_id=0:appos_extra:appos_extra': 1400, 'nsubj:dep_extra_unc_id=0:like-such-as_extra': 1401, 'nsubj:dep_extra_unc_id=1': 1402, 'nsubj:dep_extra_unc_id=1:appos_extra': 1403, 'nsubj:dep_extra_unc_id=1:like-such-as_extra': 1404, 'nsubj:dep_extra_unc_id=2': 1405, 'nsubj:dep_extra_unc_id=3': 1406, 'nsubj:like-such-as_extra': 1407, 'nsubj:passive_extra': 1408, 'nsubj:reduced-relcl_extra': 1409, 'nsubj:reduced-relcl_extra:appos_extra': 1410, 'nsubj:reduced-relcl_extra:like-such-as_extra': 1411, 'nsubj:xsubj': 1412, 'nsubj:xsubj:appos_extra': 1413, 'nsubj:xsubj:appos_extra:appos_extra': 1414, 'nsubj:xsubj:like-such-as_extra': 1415, 'nsubj:xsubj_extra': 1416, 'nsubj:xsubj_extra:appos_extra': 1417, 'nsubj:xsubj_extra:appos_extra:appos_extra': 1418, 'nsubj:xsubj_extra:appos_extra:appos_extra:appos_extra': 1419, 'nsubj:xsubj_extra:like-such-as_extra': 1420, 'nsubjpass': 1421, 'nsubjpass:acl_extra': 1422, 'nsubjpass:acl_extra:appos_extra': 1423, 'nsubjpass:acl_extra_id=0': 1424, 'nsubjpass:acl_extra_id=0:appos_extra': 1425, 'nsubjpass:acl_extra_id=0:appos_extra:appos_extra': 1426, 'nsubjpass:acl_extra_id=1': 1427, 'nsubjpass:acl_extra_id=1:appos_extra': 1428, 'nsubjpass:advcl_extra': 1429, 'nsubjpass:advcl_extra:appos_extra': 1430, 'nsubjpass:advcl_extra_id=0': 1431, 'nsubjpass:advcl_extra_id=0:appos_extra': 1432, 'nsubjpass:advcl_extra_id=0:like-such-as_extra': 1433, 'nsubjpass:appos_extra': 1434, 'nsubjpass:appos_extra:appos_extra': 1435, 'nsubjpass:dep_extra_unc_id=0': 1436, 'nsubjpass:dep_extra_unc_id=0:appos_extra': 1437, 'nsubjpass:dep_extra_unc_id=0:like-such-as_extra': 1438, 'nsubjpass:like-such-as_extra': 1439, 'nsubjpass:xsubj': 1440, 'nsubjpass:xsubj:appos_extra': 1441, 'nsubjpass:xsubj:appos_extra:appos_extra': 1442, 'nsubjpass:xsubj:like-such-as_extra': 1443, 'nsubjpass:xsubj_extra': 1444, 'nsubjpass:xsubj_extra:appos_extra': 1445, 'nummod': 1446, 'nummod:appos_extra': 1447, 'parataxis': 1448, 'parataxis:appos_extra': 1449, 'punct': 1450, 'punct:appos_extra': 1451, 'ref': 1452, 'root': 1453, 'root:appos_extra': 1454, 'root:appos_extra:appos_extra': 1455, 'root:appos_extra:appos_extra:appos_extra': 1456, 'xcomp': 1457, 'xcomp:appos_extra': 1458, 'xcomp:appos_extra:appos_extra': 1459, 'xcomp:passive_extra': 1460, 'nmod:close_with:auto-mwe_extra:went': 1461}
DEP_TO_ID.update({'~'+ k: v for (k, v) in DEP_TO_ID.items() if not k.startswith('<')})
DEP_TO_ID2 = {PAD_TOKEN: 0, UNK_TOKEN: 1, SELF_LOOP: 2, 'acl': 3, 'advcl': 4, 'advmod': 5, 'amod': 6, 'appos': 7, 'aux': 8, 'auxpass': 9, 'case': 10, 'cc': 11, 'ccomp': 12, 'compound': 13, 'conj': 14, 'cop': 15, 'csubj': 16, 'csubjpass': 17, 'dep': 18, 'det': 19, 'discourse': 20, 'dobj': 21, 'expl': 22, 'iobj': 23, 'mark': 24, 'mwe': 25, 'neg': 26, 'nmod': 27, 'nsubj': 28, 'nsubjpass': 29, 'nummod': 30, 'parataxis': 31, 'punct': 32, 'ref': 33, 'root': 34, 'xcomp': 35, 'det:qmod': 36, 'nmod:poss': 37, 'compound:prt': 38, 'cc:preconj': 39, "nmod:'s": 40, 'det:predet': 41, 'acl:relcl': 42, 'nmod:tmod': 43, 'nsubj:xsubj': 44, 'nmod:agent': 45}
DEP_TO_ID2.update({'~'+ k: v for (k, v) in DEP_TO_ID2.items() if not k.startswith('<')})
DEP_CASE_INFO = {PAD_TOKEN: 0, "'n'": 1, "'till": 2, '*': 3, '*_according': 4, '*_by': 5, '+': 6, '+_for': 7, '//wwwjamatdawahorg/_after': 8, '1,940.50_on': 9, '1,965.89_on': 10, '1,994.87_on': 11, '2-0_at': 12, '2-0_in': 13, '23_under': 14, '27_to': 15, '30-17_in': 16, '8264': 17, "'": 18, '>_by': 19, '>_with': 20, '@': 21, 'AND': 22, 'And': 23, 'But': 24, 'Down': 25, 'However': 26, 'McLaren': 27, 'Neither': 28, 'Nor': 29, 'Or': 30, 'Out': 31, 'Plus': 32, 'Really': 33, 'Right': 34, 'Running': 35, 'So': 36, 'Then': 37, '_': 38, 'a.k.a.': 39, 'aboard': 40, 'abouot': 41, 'about': 42, 'about_in': 43, 'about_through': 44, 'above': 45, 'abroad': 46, 'according': 47, 'according_to': 48, 'across': 49, 'across_from': 50, 'actively': 51, 'actually': 52, 'actually_on': 53, 'admittedly': 54, 'advances': 55, 'affectionately_of': 56, 'after': 57, 'after_at': 58, 'afterward': 59, 'again': 60, 'against': 61, 'aggressively': 62, 'ago': 63, 'ago_in': 64, 'ago_of': 65, 'ahead': 66, 'ahead_by': 67, 'ahead_in': 68, 'ahead_of': 69, 'ahead_on': 70, 'albeit': 71, 'albeit_from': 72, 'alight_for': 73, 'allegedly': 74, 'alltel': 75, 'almost': 76, 'alone_with': 77, 'along': 78, 'along_at': 79, 'along_on': 80, 'along_with': 81, 'alongside': 82, 'already': 83, 'also': 84, 'also_at': 85, 'also_by': 86, 'although': 87, 'always': 88, 'am_at': 89, 'amid': 90, 'amidst': 91, 'among': 92, 'amongst': 93, 'and': 94, 'and/or': 95, 'and_with': 96, 'another_of': 97, 'anyways': 98, 'anywhere_in': 99, 'apart_from': 100, 'apart_in': 101, 'apparent_to': 102, 'apparently': 103, 'around': 104, 'around_as': 105, 'around_of': 106, 'as': 107, 'as_for': 108, 'as_if': 109, 'as_of': 110, 'as_per': 111, 'as_to': 112, 'aside': 113, 'aside_from': 114, 'ast': 115, 'at': 116, 'atop': 117, 'away': 118, 'away_from': 119, 'away_in': 120, 'away_of': 121, 'away_over': 122, 'away_to': 123, 'back': 124, 'back_as': 125, 'back_by': 126, 'back_for': 127, 'back_from': 128, 'back_into': 129, 'back_of': 130, 'back_on': 131, 'back_over': 132, 'back_through': 133, 'back_up': 134, 'back_with': 135, 'backstage': 136, 'backstage_at': 137, 'based': 138, 'based_on': 139, 'basically': 140, 'basically_to': 141, 'because': 142, 'because_if': 143, 'because_of': 144, 'because_since': 145, 'before': 146, 'before_by': 147, 'before_in': 148, 'beginning': 149, 'behind': 150, 'behind_as': 151, 'below': 152, 'below_of': 153, 'beneath': 154, 'beside': 155, 'besides': 156, 'best_in': 157, 'better_at': 158, 'better_than': 159, 'between': 160, 'beyond': 161, 'big_in': 162, 'blades': 163, 'broadly_than': 164, 'buried': 165, 'but': 166, 'by': 167, 'came_from': 168, 'case_of': 169, 'certainly_about': 170, 'clear': 171, 'clearly': 172, 'clearly_between': 173, 'close_by': 174, 'close_to': 175, 'close_with': 176, 'closer_to': 177, 'comic_in': 178, 'coming': 179, 'compared': 180, 'compared_to': 181, 'compared_with': 182, 'completely_in': 183, 'concerning': 184, 'considering': 185, 'contrary_to': 186, 'counter_to': 187, 'cryptically_of': 188, 'currently': 189, 'daily': 190, 'daily_in': 191, 'de': 192, 'dead_at': 193, 'dear_than': 194, 'depending': 195, 'despite': 196, 'differently_than': 197, 'difficult_since': 198, 'directly': 199, 'double_in': 200, 'down': 201, 'down_at': 202, 'down_by': 203, 'down_from': 204, 'down_in': 205, 'down_of': 206, 'down_on': 207, 'down_over': 208, 'down_to': 209, 'down_with': 210, 'due': 211, 'due_from': 212, 'due_to': 213, 'during': 214, 'eagerly': 215, 'earlier': 216, 'earlier_by': 217, 'earlier_during': 218, 'earlier_for': 219, 'earlier_of': 220, 'earlier_on': 221, 'earlier_than': 222, 'early_as': 223, 'early_for': 224, 'early_on': 225, 'early_with': 226, 'east_of': 227, 'easy_for': 228, 'economically': 229, 'effectively': 230, 'else': 231, 'elsewhere_across': 232, 'elsewhere_in': 233, 'elsewhere_such': 234, 'en': 235, 'endless_through': 236, 'energetically': 237, 'enough': 238, 'enough_from': 239, 'enough_of': 240, 'enough_with': 241, 'entirely_about': 242, 'entirely_to': 243, 'erroneously': 244, 'especially': 245, 'even': 246, 'even_for': 247, 'even_from': 248, 'even_with': 249, 'eventually': 250, 'ever': 251, 'everywhere': 252, 'exceeding': 253, 'except': 254, 'except_for': 255, 'excluding': 256, 'expected': 257, 'famously': 258, 'famously_as': 259, 'famously_by': 260, 'far': 261, 'far_along': 262, 'far_behind': 263, 'far_from': 264, 'far_in': 265, 'far_including': 266, 'far_of': 267, 'far_on': 268, 'far_within': 269, 'farther_than': 270, 'fast': 271, 'faster_than': 272, 'fiercely': 273, 'finally': 274, 'firmly': 275, 'first': 276, 'first_as': 277, 'first_in': 278, 'first_of': 279, 'first_since': 280, 'first_to': 281, 'flatly': 282, 'following': 283, 'fondly_of': 284, 'for': 285, 'formally': 286, 'formerly_of': 287, 'forth': 288, 'fortunately_for': 289, 'forward': 290, 'forward_in': 291, 'forward_to': 292, 'fourfold_to': 293, 'fourth_in': 294, 'frequently': 295, 'from': 296, 'fully': 297, 'further_than': 298, 'gangs_in': 299, 'generally': 300, 'generously': 301, 'given': 302, 'gradually': 303, 'greatly': 304, 'had_on': 305, 'halfway_to': 306, 'harassment': 307, 'hard': 308, 'harder_than': 309, 'hardly': 310, 'hastily': 311, 'heavily': 312, 'hence_to': 313, 'here': 314, 'here_in': 315, 'here_of': 316, 'here_on': 317, 'here_with': 318, 'high_for': 319, 'higher_on': 320, 'higher_than': 321, 'highly_of': 322, 'home_from': 323, 'home_in': 324, 'home_to': 325, 'how_to': 326, 'http': 327, 'ideally_in': 328, 'ideologically_with': 329, 'if': 330, 'ill': 331, 'ill_of': 332, 'immediately': 333, 'immensely': 334, 'in': 335, 'in_accordance_with': 336, 'in_addition_to': 337, 'in_case': 338, 'in_case_of': 339, 'in_front_of': 340, 'in_lieu_of': 341, 'in_order': 342, 'in_place_of': 343, 'in_spite_of': 344, 'including': 345, 'independently_of': 346, 'inexplicably': 347, 'initially': 348, 'inside': 349, 'inside_of': 350, 'instantly': 351, 'instead_of': 352, 'internationally': 353, 'into': 354, 'involving': 355, 'irrespective_of': 356, 'ist': 357, 'jointly': 358, 'just': 359, 'largely': 360, 'last_in': 361, 'late_against': 362, 'late_at': 363, 'late_on': 364, 'later': 365, 'later_after': 366, 'later_at': 367, 'later_in': 368, 'later_of': 369, 'later_on': 370, 'later_than': 371, 'later_with': 372, 'least_on': 373, 'less_in': 374, 'less_than': 375, 'lest': 376, 'liberal_after': 377, 'like': 378, 'little_of': 379, 'long': 380, 'long_before': 381, 'lower_than': 382, 'luckily_for': 383, 'mainly_to': 384, 'matches_in': 385, 'member': 386, 'merely': 387, 'minus': 388, 'monitoring': 389, 'more_about': 390, 'more_as': 391, 'more_between': 392, 'more_for': 393, 'more_in': 394, 'more_of': 395, 'more_than': 396, 'more_with': 397, 'most_of': 398, 'mostly': 399, 'mostly_of': 400, 'much': 401, 'much_for': 402, 'much_from': 403, 'much_including': 404, 'much_into': 405, 'much_like': 406, 'much_of': 407, 'much_to': 408, 'na': 409, 'near': 410, 'near_for': 411, 'nearby': 412, 'negcc': 413, 'nevertheless': 414, 'next': 415, 'next_at': 416, 'next_to': 417, 'no': 418, 'nonetheless': 419, 'nor': 420, 'north_of': 421, 'northeast_of': 422, 'northwest_of': 423, 'not': 424, 'notably': 425, 'notably_for': 426, 'notably_from': 427, 'notwithstanding': 428, 'now': 429, 'now_of': 430, 'now_on': 431, 'now_than': 432, 'now_to': 433, 'now_with': 434, 'nowhere': 435, 'oblivious_to': 436, 'of': 437, 'off': 438, 'off_about': 439, 'off_near': 440, 'off_of': 441, 'off_to': 442, 'officially': 443, 'officially_from': 444, 'often': 445, 'on': 446, 'on_account_of': 447, 'on_behalf_of': 448, 'on_from': 449, 'on_top_of': 450, 'once': 451, 'once_for': 452, 'once_in': 453, 'only': 454, 'only_in': 455, 'only_of': 456, 'only_to': 457, 'onstage': 458, 'onto': 459, 'open_with': 460, 'or': 461, 'or_with': 462, 'originally': 463, 'originally_of': 464, 'other_than': 465, 'out': 466, 'out_at': 467, 'out_from': 468, 'out_of': 469, 'out_to': 470, 'out_with': 471, 'outright_instead': 472, 'outside': 473, 'outside_of': 474, 'over': 475, 'over_at': 476, 'over_during': 477, 'over_of': 478, 'over_to': 479, 'overseas': 480, 'overwhelmingly': 481, 'past': 482, 'pending': 483, 'per': 484, 'percent_despite': 485, 'percent_from': 486, 'percent_in': 487, 'percent_over': 488, 'percent_with': 489, 'perfectly_with': 490, 'personally': 491, 'plus': 492, 'poorly': 493, 'popular_on': 494, 'powerfully': 495, 'previously': 496, 'principally_to': 497, 'prior_of': 498, 'prior_to': 499, 'probably': 500, 'prominently': 501, 'promoted': 502, 'protest': 503, 'publicly': 504, 'pursuant_to': 505, 'quickly': 506, 'quickly_on': 507, 'quite': 508, 'radically': 509, 'rather': 510, 'rather_than': 511, 'really': 512, 'recently': 513, 'recently_as': 514, 'recently_in': 515, 'recently_of': 516, 'regarding': 517, 'regardless_of': 518, 'regularly': 519, 'repeatedly': 520, 'reportedly': 521, 'respectively_behind': 522, 'richly': 523, 'right': 524, 'right_as': 525, 'right_through': 526, 'right_to': 527, 'routinely': 528, 'sac_for': 529, 'safely_in': 530, 'scared_of': 531, 'seamlessly_across': 532, 'second_in': 533, 'second_to': 534, 'second_with': 535, 'secretly': 536, 'secretly_inside': 537, 'separately_from': 538, 'sequentially_per': 539, 'seriously': 540, 'setbacks': 541, 'share_after': 542, 'sharply_than': 543, 'short_of': 544, 'shy_of': 545, 'significantly': 546, 'simply': 547, 'since': 548, 'since_for': 549, 'sincerely': 550, 'slightly_from': 551, 'so': 552, 'so_as': 553, 'so_by': 554, 'so_for': 555, 'so_that': 556, 'so_to': 557, 'somehow': 558, 'sometime_in': 559, 'somewhere_along': 560, 'somewhere_in': 561, 'somewhere_outside': 562, 'sorely': 563, 'sort_of': 564, 'south_of': 565, 'south_on': 566, 'southwest_of': 567, 'spring_into': 568, 'starting': 569, 'still': 570, 'still_of': 571, 'straight_to': 572, 'strongly': 573, 'such_as': 574, 'symmetrically': 575, 't': 576, 'temporarily': 577, 'temporarily_for': 578, 'temporarily_to': 579, 'than': 580, 'thanks_to': 581, 'that': 582, 'that_of': 583, 'the': 584, 'theh': 585, 'then': 586, 'then_in': 587, 'then_of': 588, 'then_on': 589, 'then_with': 590, 'there': 591, "there_'s": 592, 'there_for': 593, 'there_in': 594, 'there_with': 595, 'though': 596, 'though_of': 597, 'threefold_from': 598, 'through': 599, 'through-out': 600, 'throughout': 601, 'thru': 602, 'thurs': 603, 'till': 604, 'to': 605, 'together': 606, 'together_of': 607, 'together_with': 608, 'toward': 609, 'towards': 610, 'traditionally': 611, 'twice': 612, 'twice_to': 613, 'typically_with': 614, 'under': 615, 'underground': 616, 'underneath': 617, 'unexpectedly_of': 618, 'unfairly': 619, 'unless': 620, 'unlike': 621, 'unsure_about': 622, 'until': 623, 'up': 624, 'up_against': 625, 'up_as': 626, 'up_at': 627, 'up_by': 628, 'up_for': 629, 'up_from': 630, 'up_in': 631, 'up_near': 632, 'up_of': 633, 'up_on': 634, 'up_over': 635, 'up_to': 636, 'up_with': 637, 'upon': 638, 'upward_of': 639, 'v.': 640, 'vehemently': 641, 'versus': 642, 'via': 643, 'vigorously': 644, 'vigorously_than': 645, 'violently': 646, 'vs': 647, 'vs.': 648, 'week-out': 649, 'weeks_after': 650, 'well': 651, 'west_of': 652, 'west_to': 653, 'when': 654, 'when_next': 655, 'when_under': 656, 'whereas': 657, 'whether': 658, 'while': 659, 'while_at': 660, 'while_in': 661, 'while_on': 662, 'while_under': 663, 'whilst': 664, 'with': 665, 'with_regard_to': 666, 'with_respect_to': 667, 'within': 668, 'without': 669, 'worldwide': 670, 'worldwide_to': 671, 'worldwide_with': 672, 'worse_against': 673, 'worse_than': 674, 'worth': 675, 'wrong_in': 676, 'x': 677, 'year_on': 678, 'yes': 679, 'yet': 680, 'yet_of': 681, 'yuan_from': 682}
DEP_EXTRA = {PAD_TOKEN: 0, 'advcl': 1, 'appos': 2, 'auto-mwe': 3, 'conj': 4, 'dep': 5, 'indexical': 6, 'like-such-as': 7, 'passive': 8, 'reduced-relcl': 9, 'xsubj': 10, 'acl':11}
NEGATIVE_LABEL = 'no_relation'
LABEL_TO_ID = {'no_relation': 0, 'per:title': 1, 'org:top_members/employees': 2, 'per:employee_of': 3, 'org:alternate_names': 4, 'org:country_of_headquarters': 5, 'per:countries_of_residence': 6, 'org:city_of_headquarters': 7, 'per:cities_of_residence': 8, 'per:age': 9, 'per:stateorprovinces_of_residence': 10, 'per:origin': 11, 'org:subsidiaries': 12, 'org:parents': 13, 'per:spouse': 14, 'org:stateorprovince_of_headquarters': 15, 'per:children': 16, 'per:other_family': 17, 'per:alternate_names': 18, 'org:members': 19, 'per:siblings': 20, 'per:schools_attended': 21, 'per:parents': 22, 'per:date_of_death': 23, 'org:member_of': 24, 'org:founded_by': 25, 'org:website': 26, 'per:cause_of_death': 27, 'org:political/religious_affiliation': 28, 'org:founded': 29, 'per:city_of_death': 30, 'org:shareholders': 31, 'org:number_of_employees/members': 32, 'per:date_of_birth': 33, 'per:city_of_birth': 34, 'per:charges': 35, 'per:stateorprovince_of_death': 36, 'per:religion': 37, 'per:stateorprovince_of_birth': 38, 'per:country_of_birth': 39, 'org:dissolved': 40, 'per:country_of_death': 41}
INFINITY_NUMBER = 1e12
class LcaType(Enum): ALL_TREE = 0; RAND_LCA = 1; UNION_LCA = 2
class DepType(Enum): ALL = 0; NAKED = 1; SPLITED = 2
relation_subs = {'no_relation': 11022, 'per:title': 488, 'org:top_members/employees': 378, 'per:employee_of': 304, 'org:alternate_names': 161, 'org:country_of_headquarters': 93, 'per:countries_of_residence': 89, 'per:age': 78, 'org:city_of_headquarters': 76, 'per:cities_of_residence': 74, 'per:stateorprovinces_of_residence': 66, 'per:origin': 65, 'org:subsidiaries': 59, 'org:stateorprovince_of_headquarters': 57, 'org:parents': 57, 'per:children': 52, 'per:spouse': 51, 'per:other_family': 44, 'org:members': 42, 'per:siblings': 41, 'per:parents': 38, 'per:schools_attended': 37, 'per:date_of_death': 33, 'org:founded_by': 31, 'org:member_of': 30, 'org:founded': 30, 'per:cause_of_death': 29, 'per:country_of_birth': 28, 'org:website': 27, 'per:city_of_death': 27, 'per:religion': 26, 'org:political/religious_affiliation': 26, 'per:alternate_names': 26, 'org:number_of_employees/members': 25, 'org:shareholders': 25, 'per:stateorprovince_of_death': 24, 'per:charges': 24, 'org:dissolved': 23, 'per:date_of_birth': 21, 'per:city_of_birth': 21, 'per:stateorprovince_of_birth': 19, 'per:country_of_death': 6}
relation_subs2 = {'no_relation': 2204, 'per:title': 122, 'org:top_members/employees': 94, 'per:employee_of': 76, 'org:alternate_names': 40, 'org:country_of_headquarters': 31, 'per:countries_of_residence': 29, 'per:age': 26, 'org:city_of_headquarters': 25, 'per:cities_of_residence': 24, 'per:stateorprovinces_of_residence': 22, 'per:origin': 21, 'org:subsidiaries': 19, 'org:stateorprovince_of_headquarters': 19, 'org:parents': 19, 'per:children': 17, 'per:spouse': 17, 'per:other_family': 14, 'org:members': 14, 'per:siblings': 13, 'per:parents': 19, 'per:schools_attended': 18, 'per:date_of_death': 16, 'org:founded_by': 15, 'org:member_of': 15, 'org:founded': 15, 'per:cause_of_death': 14, 'per:country_of_birth': 14, 'org:website': 13, 'per:city_of_death': 13, 'per:religion': 13, 'org:political/religious_affiliation': 13, 'per:alternate_names': 13, 'org:number_of_employees/members': 12, 'org:shareholders': 12, 'per:stateorprovince_of_death': 12, 'per:charges': 12, 'org:dissolved': 11, 'per:date_of_birth': 10, 'per:city_of_birth': 10, 'per:stateorprovince_of_birth': 9, 'per:country_of_death': 6}
relation_subs3 = {'no_relation': 2755, 'per:title': 438, 'org:top_members/employees': 328, 'per:employee_of': 254, 'org:alternate_names': 136, 'org:country_of_headquarters': 78, 'per:countries_of_residence': 74, 'per:age': 63, 'org:city_of_headquarters': 61, 'per:cities_of_residence': 59, 'per:stateorprovinces_of_residence': 51, 'per:origin': 50, 'org:subsidiaries': 59, 'org:stateorprovince_of_headquarters': 57, 'org:parents': 57, 'per:children': 52, 'per:spouse': 51, 'per:other_family': 44, 'org:members': 42, 'per:siblings': 41, 'per:parents': 38, 'per:schools_attended': 37, 'per:date_of_death': 33, 'org:founded_by': 31, 'org:member_of': 30, 'org:founded': 30, 'per:cause_of_death': 29, 'per:country_of_birth': 28, 'org:website': 27, 'per:city_of_death': 27, 'per:religion': 26, 'org:political/religious_affiliation': 26, 'per:alternate_names': 26, 'org:number_of_employees/members': 25, 'org:shareholders': 25, 'per:stateorprovince_of_death': 24, 'per:charges': 24, 'org:dissolved': 23, 'per:date_of_birth': 21, 'per:city_of_birth': 21, 'per:stateorprovince_of_birth': 19, 'per:country_of_death': 6}
relation_subs4 = {'no_relation': 2204, 'per:title': 488, 'org:top_members/employees': 378, 'per:employee_of': 304, 'org:alternate_names': 161, 'org:country_of_headquarters': 93, 'per:countries_of_residence': 89, 'per:age': 78, 'org:city_of_headquarters': 76, 'per:cities_of_residence': 74, 'per:stateorprovinces_of_residence': 66, 'per:origin': 65, 'org:subsidiaries': 59, 'org:stateorprovince_of_headquarters': 57, 'org:parents': 57, 'per:children': 52, 'per:spouse': 51, 'per:other_family': 44, 'org:members': 42, 'per:siblings': 41, 'per:parents': 38, 'per:schools_attended': 37, 'per:date_of_death': 33, 'org:founded_by': 31, 'org:member_of': 30, 'org:founded': 30, 'per:cause_of_death': 29, 'per:country_of_birth': 28, 'org:website': 27, 'per:city_of_death': 27, 'per:religion': 26, 'org:political/religious_affiliation': 26, 'per:alternate_names': 26, 'org:number_of_employees/members': 25, 'org:shareholders': 25, 'per:stateorprovince_of_death': 24, 'per:charges': 24, 'org:dissolved': 23, 'per:date_of_birth': 21, 'per:city_of_birth': 21, 'per:stateorprovince_of_birth': 19, 'per:country_of_death': 6}
| 1,266.945455
| 49,430
| 0.72442
| 11,576
| 69,682
| 4.120335
| 0.177868
| 0.083653
| 0.096107
| 0.02736
| 0.235717
| 0.148751
| 0.09009
| 0.058306
| 0.048724
| 0.043588
| 0
| 0.117319
| 0.074984
| 69,682
| 54
| 49,431
| 1,290.407407
| 0.622663
| 0.000631
| 0
| 0
| 0
| 0
| 0.661672
| 0.458196
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.125
| 0.03125
| 0
| 0.28125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
8f729045223d49c94883e46fa1a31a3eb4b4fdce
| 114
|
py
|
Python
|
grokking_algorithms/04_quicksort/python/sum_recursion.py
|
youaresherlock/PythonPractice
|
2e22d3fdcb26353cb0d8215c150e84d11bc9a022
|
[
"Apache-2.0"
] | null | null | null |
grokking_algorithms/04_quicksort/python/sum_recursion.py
|
youaresherlock/PythonPractice
|
2e22d3fdcb26353cb0d8215c150e84d11bc9a022
|
[
"Apache-2.0"
] | null | null | null |
grokking_algorithms/04_quicksort/python/sum_recursion.py
|
youaresherlock/PythonPractice
|
2e22d3fdcb26353cb0d8215c150e84d11bc9a022
|
[
"Apache-2.0"
] | 1
|
2019-11-05T01:10:15.000Z
|
2019-11-05T01:10:15.000Z
|
# -*- coding: utf-8 -*-
# 列表元素之和-递归写法
def sum(list):
if list == []:
return 0
return list[0] + sum(list[1:])
| 16.285714
| 31
| 0.54386
| 18
| 114
| 3.444444
| 0.666667
| 0.225806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044944
| 0.219298
| 114
| 6
| 32
| 19
| 0.651685
| 0.289474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
8f7be594451a59bbc7be942ec6e7c3eb03666782
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/arithmetic.py
|
Retraces/UkraineBot
|
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/arithmetic.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/arithmetic.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/7b/e4/a4/a41bbbc3ec7ac1f470c165b0ab57cc5be302a1a744f8837832ca437ae1
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.375
| 0
| 96
| 1
| 96
| 96
| 0.520833
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
8f7d58e514729f9c6cdd301aa5c3884281ccc695
| 13,734
|
py
|
Python
|
NVMeshSDK/APIs/UserAPI.py
|
excelero-sdk/NVMeshSDK
|
cf5ef211f98cb1894993c0c5442c5568bcc09c48
|
[
"MIT"
] | null | null | null |
NVMeshSDK/APIs/UserAPI.py
|
excelero-sdk/NVMeshSDK
|
cf5ef211f98cb1894993c0c5442c5568bcc09c48
|
[
"MIT"
] | null | null | null |
NVMeshSDK/APIs/UserAPI.py
|
excelero-sdk/NVMeshSDK
|
cf5ef211f98cb1894993c0c5442c5568bcc09c48
|
[
"MIT"
] | null | null | null |
from NVMeshSDK.Entities.User import User
from .BaseClassAPI import BaseClassAPI
from NVMeshSDK.Consts import EndpointRoutes
class UserAPI(BaseClassAPI):
endpointRoute = EndpointRoutes.USERS
def get(self, filter=None, sort=None):
"""**Get users, limit the result using filter and sort**
:param filter: Filter before fetching using MongoDB filter objects, defaults to None
:type filter: list, optional
:param sort: Sort before fetching using MongoDB filter objects, defaults to None
:type sort: list, optional
:return: tuple (err, out)
**err**: HTTP error details or None if there were no errors
**out**: list of User entities
:rtype: (dict, list)
- Example::
from NVMeshSDK.APIs.UserAPI import UserAPI
# fetching all the users
userAPI = UserAPI()
err, out = userAPI.get()
>>> err
None
>>> for user in out: print user
{
"_id": "admin@excelero.com",
"dateCreated": "2019-07-09T12:58:30.450Z",
"email": "admin@excelero.com",
"eulaDateOfSignature": "2019-07-09T12:59:20.209Z",
"eulaSignature": "dhd",
"hasAcceptedEula": true,
"layout": {
"settings": {
"isControlPanelPinned": true,
"rollupPolicy": {
"samplingDuration": "2min",
"samplingRate": "1s"
}
},
"statistics": {...}
},
"notificationLevel": "NONE",
"relogin": false,
"role": "Admin"
}
{
"_id": "ron@excelero.com",
"createdBy": "admin@excelero.com",
"dateCreated": "2019-07-10T07:52:18.608Z",
"dateModified": "2019-07-10T07:52:18.608Z",
"email": "ron@excelero.com",
"layout": {
"statistics": {...}
},
"modifiedBy": "admin@excelero.com",
"notificationLevel": "NONE",
"relogin": false,
"role": "Observer"
}
# fetching all users and filtering by role using MongoObj and User's class attribute
from NVMeshSDK.Entities.User import User
from NVMeshSDK.MongoObj import MongoObj
err, out = userAPI.get(filter=[MongoObj(field=User.Role, value='Observer')])
>>> err
None
>>> for user in out: print user
{
"_id": "ron@excelero.com",
"createdBy": "admin@excelero.com",
"dateCreated": "2019-07-10T07:52:18.608Z",
"dateModified": "2019-07-10T07:52:18.608Z",
"email": "ron@excelero.com",
"layout": {
"statistics": {...}
},
"modifiedBy": "admin@excelero.com",
"notificationLevel": "NONE",
"relogin": false,
"role": "Observer"
}
- Expected HTTP Fail Response::
>>> err
{
'code': <Return Code>,
'content': <Failure Details>,
'message': <Failure Reason>
}
>>> out
None
"""
return super(UserAPI, self).get(page=None, count=None, filter=filter, sort=sort)
def save(self, users):
"""**Save users**
:param users: list of User entities
:type users: list
:return: tuple (err, out)
**err**: HTTP error details or None if there were no errors
**out**: operation success details per entity or None if there was an HTTP error
:rtype: (dict, list)
- Example::
from NVMeshSDK.APIs.UserAPI import UserAPI
# creating a user using a User entity
from NVMeshSDK.Entities.User import User
user1 = User(email="joe@excelero.com", role="Admin", notificationLevel="NONE", password="verySecure", confirmationPassword="verySecure")
userAPI = UserAPI()
err, out = userAPI.save([user1])
- Expected Success Response::
>>> err
None
>>> out
[
{
u'_id': u'joe@excelero.com',
u'error': None,
u'payload': None,
u'success': True
}
]
- Expected Operation Fail Response::
>>> err
None
>>> out
[
{
u'_id': u'joe@excelero.com',
u'error': <Failure Reason>,
u'payload': None,
u'success': False
}
]
- Expected HTTP Fail Response::
>>> err
{
'code': <Return Code>,
'content': <Failure Details>,
'message': <Failure Reason>
}
>>> out
None
"""
return super(UserAPI, self).save(entitiesList=users)
def delete(self, users):
"""**Delete users**
:param users: list of User entities (only email attribute is needed)
:type users: list
:return: tuple (err, out)
**err**: HTTP error details or None if there were no errors
**out**: operation success details per entity or None if there was an HTTP error
:rtype: (dict, list)
- Example::
from NVMeshSDK.APIs.UserAPI import UserAPI
# deleting a user using the User entity, first using the 'get' method to get the specific user
# as a User entity then passing it to the delete method
from NVMeshSDK.Entities.User import User
from NVMeshSDK.MongoObj import MongoObj
err, out = userAPI.get(filter=[MongoObj(field=User.Email, value='joe@excelero.com')])
joeUser = out[0]
err, out = userAPI.delete([joeUser])
- Expected Success Response::
>>> err
None
>>> out
[
{
u'_id': u'joe@excelero.com',
u'error': None,
u'payload': None,
u'success': True
}
]
- Expected Operation Fail Response::
>>> err
None
>>> out
[
{
u'_id': u'joe@excelero.com',
u'error': <Failure Reason>,
u'payload': None,
u'success': False
}
]
- Expected HTTP Fail Response::
>>> err
{
'code': <Return Code>,
'content': <Failure Details>,
'message': <Failure Reason>
}
>>> out
None
"""
return super(UserAPI, self).delete(entitiesList=users)
def update(self, users):
"""**Update users**
:param driveClasses: list of User entities
:type driveClasses: list
:return: tuple (err, out)
**err**: HTTP error details or None if there were no errors
**out**: operation success details per entity or None if there was an HTTP error
:rtype: (dict, list)
- Example::
from NVMeshSDK.APIs.UserAPI import UserAPI
# updating a user
from NVMeshSDK.Entities.User import User
from NVMeshSDK.MongoObj import MongoObj
err, users = userAPI.get(filter=[MongoObj(field=User.Email, value="ron@excelero.com")])
ronUser = users[0]
>>> print ronUser
{
"_id": "ron@excelero.com",
"createdBy": "admin@excelero.com",
"dateCreated": "2019-07-10T07:52:18.608Z",
"dateModified": "2019-07-10T11:27:23.848Z",
"email": "ron@excelero.com",
"layout": {
"statistics": {...}
},
"modifiedBy": "app@excelero.com",
"notificationLevel": "NONE",
"relogin": false,
"role": "Observer"
}
ronUser.role = "Admin"
>>> print ronUser
{
"_id": "ron@excelero.com",
"createdBy": "admin@excelero.com",
"dateCreated": "2019-07-10T07:52:18.608Z",
"dateModified": "2019-07-10T11:27:23.848Z",
"email": "ron@excelero.com",
"layout": {
"statistics": {...}
},
"modifiedBy": "app@excelero.com",
"notificationLevel": "NONE",
"relogin": false,
"role": "Admin"
}
usersAPI = UserAPI()
err, out = userAPI.update([ronUser])
- Expected Success Response::
>>> err
None
>>> out
[
{
u'_id': u'ron@excelero.com',
u'error': None,
u'payload': None,
u'success': True
}
]
- Expected Operation Fail Response::
>>> err
None
>>> out
[
{
u'_id': u'ron@excelero.com',
u'error': <Failure Reason>,
u'payload': None,
u'success': False
}
]
- Expected HTTP Fail Response::
>>> err
{
'code': <Return Code>,
'content': <Failure Details>,
'message': <Failure Reason>
}
>>> out
None
"""
return super(UserAPI, self).update(entitiesList=users)
def resetPassword(self, users):
"""**Reset users passwords**
:param users: list of User entities
:type users: list
:return: tuple (err, out)
**err**: HTTP error details or None if there were no errors
**out**: operation success details per entity or None if there was an HTTP error
:rtype: (dict, list)
- Example::
from NVMeshSDK.APIs.UserAPI import UserAPI
# resetting all users passwords
err, allUsers = userAPI.get()
userAPI = UserAPI()
err, out = userAPI.resetPassword(allUsers)
- Expected Success Response::
>>> err
None
>>> out
[
{
u'_id': u'joe@excelero.com',
u'error': None,
u'payload': {u'newPassword': u'ecbbi'},
u'success': True
},
{
u'_id': u'ron@excelero.com',
u'error': None,
u'payload': {u'newPassword': u'abba4'},
u'success': True
}
]
- Expected Operation Fail Response::
>>> err
None
>>> out
[
{
u'_id': u'joe@excelero.com',
u'error': <Failure Reason>,
u'payload': None,
u'success': False
},
{
u'_id': u'ron@excelero.com',
u'error': <Failure Reason>,
u'payload': None,
u'success': False
}
]
- Expected HTTP Fail Response::
>>> err
{
'code': <Return Code>,
'content': <Failure Details>,
'message': <Failure Reason>
}
>>> out
None
"""
for user in users:
user.resetPassword = True
return self.makePost(['update'], users)
def acceptEula(self, signature):
return self.makePost(['acceptEula'], {'eulaSignature': signature})
@classmethod
def getEndpointRoute(cls):
return cls.endpointRoute
def getType(self):
return User
| 31.284738
| 152
| 0.407165
| 1,091
| 13,734
| 5.111824
| 0.156737
| 0.061144
| 0.032634
| 0.030482
| 0.715797
| 0.697328
| 0.676708
| 0.662901
| 0.651963
| 0.638874
| 0
| 0.02534
| 0.491408
| 13,734
| 439
| 153
| 31.284738
| 0.773085
| 0.738095
| 0
| 0
| 0
| 0
| 0.027911
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.083333
| 0.125
| 0.125
| 0.875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
8f7ef63c80adacafd43c2a15e1d1e20af4c1a63c
| 43
|
py
|
Python
|
script/noBookException.py
|
psh0502/packtpub-crawler
|
f8066e273a8ec5e052affc66c5af8b8e8e328414
|
[
"MIT"
] | 796
|
2015-09-08T09:40:27.000Z
|
2022-03-24T21:03:48.000Z
|
script/noBookException.py
|
psh0502/packtpub-crawler
|
f8066e273a8ec5e052affc66c5af8b8e8e328414
|
[
"MIT"
] | 81
|
2016-05-13T16:13:18.000Z
|
2021-06-01T22:02:26.000Z
|
script/noBookException.py
|
psh0502/packtpub-crawler
|
f8066e273a8ec5e052affc66c5af8b8e8e328414
|
[
"MIT"
] | 228
|
2015-09-04T03:26:08.000Z
|
2022-03-10T22:50:21.000Z
|
class NoBookException(Exception):
pass
| 14.333333
| 33
| 0.767442
| 4
| 43
| 8.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162791
| 43
| 2
| 34
| 21.5
| 0.916667
| 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
|
56fb85fb7e01f49eb82d7eb7d4ac9196a3581329
| 21,322
|
py
|
Python
|
Views/task.py
|
Dknow/HealthCheck
|
3d0bf6154901020a2c269c77353bdc5aba358799
|
[
"MIT"
] | null | null | null |
Views/task.py
|
Dknow/HealthCheck
|
3d0bf6154901020a2c269c77353bdc5aba358799
|
[
"MIT"
] | null | null | null |
Views/task.py
|
Dknow/HealthCheck
|
3d0bf6154901020a2c269c77353bdc5aba358799
|
[
"MIT"
] | null | null | null |
import time
import paramiko
from Views.models import db, Device, Task
from Views.models import Result
from Views.Alert import MailAlert
class H3C_Switch():
device_type = "H3C_Switch"
def __init__(self, HOST, PORT, USER, PASSWORD, device_id):
self.HOST = HOST
self.PORT = PORT
self.USER = USER
self.PASSWORD = PASSWORD
self.device_id = device_id
def bridge(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display interface Bridge-Aggregation brief\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
# 将接受socket输出的值
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
# 处理输出值，根据关键字截取相关内容
value = []
result = ""
for line in res:
if line.find("BAG") != -1:
value += line.split()
for i in range(0, len(value), 7):
result += "Interface:" + value[0].strip() + " Link++++" + value[i + 1].strip() + "@@@@"
print("inspect_result:" + result)
print("script_run_status:0")
print("script_error_info:")
print("inspect_info:")
return result
def cpuusage(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display cpu-usage\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
for line in res:
if line.find("5 minutes") != -1:
value += line.split()
print("inspect_result:" + value[0].strip())
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
return value[0].strip()
def device(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display device\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
result = ""
for line in res:
if line.find("display") == -1 and line.find(">") == -1 and line.find("Slot") == -1:
value += line.split()
for i in range(0, len(value), 6):
device_name = value[i + 1]
device_state = value[i + 2]
result += "Name:" + device_name + " State++++" + device_state + "@@@@"
print("inspect_result:" + result)
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
return result
def fan(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display fan\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
# 将接受socket输出的值
res = ssh_shell.recv(999999).decode().split("\r\n")
ssh.close()
# 处理输出值，根据关键字截取相关内容
value = []
result = ''
for line in res:
if line.find("Fan") != -1 or line.find("State") != -1:
value += line.strip("r").split(":")
for i in range(0, len(value), 4):
result += "Name:" + value[i].strip(":") + " State++++" + value[i + 3].strip() + "@@@@"
# print(result)
print("inspect_result:" + result)
print("script_run_status:0")
print("script_error_info:")
print("inspect_info:")
return result
def flash(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'screen-length disable\n', 'dir\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
result = ""
for line in res:
if line.find("free") != -1 and line.find("total") != -1:
value += line.split(",")
result = ''.join(value).split()
total = result[0].strip()
free = result[3].strip("(").strip()
print("inspect_result:%.2f%" % ((int(total) - int(free)) / int(total) * 100))
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
inspect_result = "%.2f%" % ((int(total) - int(free)) / int(total) * 100)
return inspect_result
def irf(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display irf link\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
result = ""
for line in res:
if line.find("link") == -1 and line.find("Member") == -1 and line.find("Status") == -1 and line.find(
">") == -1:
value += line.split()
for i in range(0, len(value), 3):
result += "IRF_PORT:" + value[i] + " Statue++++" + value[i + 2] + "@@@@"
print("inspect_result:" + result)
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
inspect_result = result
return inspect_result
def men(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display memory\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
for line in res:
if line.find("Mem:") != -1 and line.find("LowMem") == -1 and line.find("HighMem") == -1:
value += line.split()
inspect_result = value[len(value) - 1].strip()
print("inspect_result:" + inspect_result)
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
return inspect_result
def ps(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display power\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(999999).decode().split("\r\n")
ssh.close()
value = []
result = ''
for line in res:
if line.find("display") == -1 and line.find("Slot") == -1 and line.find("PowerID") == -1 and line.find(
">") == -1:
value += line.split()
for i in range(0, len(value), 6):
powerid = value[i]
state = value[i + 1]
result = result + "powerID:" + powerid + " state++++" + state + "@@@@"
inspect_result = result
print("inspect_result:" + result)
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
return inspect_result
def temperature(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display environment\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
result = ""
for line in res:
if line.find("display") == -1 and line.find(">") == -1 and line.find("System") == -1 and line.find(
"Slot") == -1 and line.find("----") == -1:
value += line.split()
for i in range(0, len(value), 8):
sensor = value[i + 1]
temperature = value[i + 3]
result += "Sensor:" + sensor + " temperature++++" + temperature + "@@@@"
inspect_result = result
print("inspect_result:" + result)
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
return inspect_result
def uptime(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'screen-length disable\n', 'display version\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
result = ""
for line in res:
if line.find("Uptime is") != -1:
value += line.split(",")
result = " ".join(value)
value_list = result.split()
days = value_list[value_list.index("days") - 1]
weeks = value_list[value_list.index("weeks") - 1]
print("inspect_result:" + str((int(weeks) * 7 + int(days))).strip())
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
inspect_result = str((int(weeks) * 7 + int(days))).strip()
return inspect_result
def s6800_ps(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display power\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(999999).decode().split("\r\n")
ssh.close()
value = []
result = ''
for line in res:
if line.find("display") == -1 and line.find("Slot") == -1 and line.find("PowerID") == -1 and line.find(
">") == -1 and line.find("Input") == -1:
value += line.split()
for i in range(0, len(value), 6):
powerid = value[i]
state = value[i + 1]
result = result + "powerID: " + powerid + " state++++" + state + "@@@@"
inspect_result = result
print("inspect_result:" + result)
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
return inspect_result
def start(self):
try:
uptime = self.uptime()
cpuusage = self.cpuusage()
men = self.men()
ps = self.ps()
# result = uptime+'|'+cpuusage+'|'+men+'|'+ps
# from Views import db
new = result(
device_id=self.device_id,
cpu=cpuusage,
uptime=uptime,
men=men,
ps=ps
)
db.session.add(new)
db.session.flush
print('H3C_Switch scan success:', self.device_id)
except Exception as e:
msg = 'H3C_Switch scan faild,device_id:{} error:{} '.format(self.device_id, str(e))
mail(msg)
class HUAWEI_Switch():
device_type = 'HUAWEI_Switch'
def __init__(self, HOST, PORT, USER, PASSWORD, device_id):
self.HOST = HOST
self.PORT = PORT
self.USER = USER
self.PASSWORD = PASSWORD
self.device_id = device_id
def uptime(self):
# 创建SSH连接
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5000)
ssh_shell = ssh.invoke_shell()
# 将命令存在一个列表中
cmds = ['', 'display version\n']
for cmd in cmds:
command = ssh_shell.sendall(cmd)
time.sleep(1)
res = ssh_shell.recv(9999).decode().split("\r\n")
ssh.close()
value = []
result = ""
for line in res:
if line.find("uptime is") != -1 and line.find("Switch") == -1:
value += line.split(",")
result = " ".join(value)
value_list = result.split()
days = value_list[value_list.index("days") - 1]
weeks = value_list[value_list.index("weeks") - 1]
inspect_result = str((int(weeks) * 7 + int(days))).strip()
# print("inspect_result:" + str((int(weeks) * 7 + int(days))).strip())
# print("script_run_status:0")
# print("script_error_info:")
# print("inspect_info:")
return inspect_result
def start(self):
try:
uptime = self.uptime()
new = result(
device_id=self.device_id,
# cpu=cpuusage,
uptime=uptime,
# men=men,
# ps=ps
)
db.session.add(new)
db.session.flush
print('HUAWEI_Switch scan success:', self.device_id)
except Exception as e:
msg = 'HUAWEI_Switch scan faild,device_id:{} error:{} '.format(self.device_id, str(e))
mail(msg)
linux_cmd = {"uptime": "uptime",
"cpu": "",
"men": "",
"disk": "df -lh"}
class LinuxScanner():
device_type = 'LinuxScanner'
def __init__(self, HOST, PORT, USER, PASSWORD, device_id):
self.HOST = HOST
self.PORT = PORT
self.USER = USER
self.PASSWORD = PASSWORD
self.device_id = device_id
self.ssh = self.get_ssh_connect()
def get_ssh_connect(self):
try:
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy)
ssh.connect(hostname=self.HOST, port=self.PORT, username=self.USER, password=self.PASSWORD, timeout=5)
except Exception as e:
ssh = []
return ssh
def execc_cmd(self, cmd):
ssh_stdin, ssh_stdout, ssh_stderr = self.ssh.exec_command(cmd)
res = ssh_stdout.read().decode()
return res
def version(self):
cmd = 'cat /etc/issue'
return self.execc_cmd(cmd)
def uptime(self):
cmd = 'uptime'
return self.execc_cmd(cmd)
def cpu(self):
cmd = 'cat /proc/stat'
res = self.execc_cmd(cmd)
spl = res.split('\n')[1].split(' ')
worktime = int(spl[2]) + int(spl[3]) + int(spl[4])
idletime = int(spl[5])
rate = (1 - float(worktime / (idletime + worktime))) * 100
return rate
# def cpu(self):
# cmd = 'top -bn 1 -i -c'
# res = self.execc_cmd(cmd)
# return res
def memory(self):
cmd = 'free -m'
res = self.execc_cmd(cmd)
if res:
res = res.split('\n')[1].split(' ')
for i in res:
if i == '':
res.remove(i)
return float(int(res[2]) / int(res[1]))
def disk(self):
cmd = linux_cmd['disk']
res = self.execc_cmd(cmd)
# 返回值信息太多，需要处理一下
if res:
res = res.split('\n')
for i in res:
if i.startswith('/dev/sda1'):
for info in i.split(' '):
if "%" in info:
res = info
res = float(int(res.split('%')[0]) / 100)
return res
def start(self, projects):
warnig = False
warnig_result = []
cpu_info = ''
memory_info = ''
disk_info = ''
uptime = ''
version = ''
try:
if self.ssh:
if 'version' in projects:
version = self.version()
if 'disk' in projects:
disk_info = self.disk()
if disk_info > 0.9:
warnig = True
warnig_result.append("DiskUsage > 90%")
if 'cpu' in projects:
cpu_info = self.cpu()
if cpu_info > 0.9:
warnig = True
warnig_result.append("CpuUsage Warning")
if 'mem' in projects:
memory_info = self.memory()
if memory_info > 0.9:
warnig = True
warnig_result.append("MemoryUsage Warning")
if 'uptime' in projects:
uptime = self.uptime()
else:
warnig = True
warnig_result = ['无法建立ssh连接']
if warnig:
self.send_mail(warnig_result)
new = Result(
device_id=self.device_id,
version=version,
cpu=cpu_info,
uptime=uptime,
mem=memory_info,
disk=disk_info,
ssh_connect=True if self.ssh else False
)
db.session.add(new)
db.session.flush()
print('Linux scan success:', self.device_id)
except Exception as e:
msg = 'Linux scan faild,device_id:{} error:{} '.format(self.device_id, str(e))
warnig_result.append(msg)
new = Result(
device_id=self.device_id,
version=version,
cpu=cpu_info,
uptime=uptime,
mem=memory_info,
disk=disk_info,
ssh_connect=True if self.ssh else False
)
db.session.add(new)
db.session.flush()
self.send_mail(warnig_result)
finally:
if self.ssh:
self.ssh.close()
def send_mail(self, warnig_result):
alert = MailAlert()
alert.send(self.device_id, self.HOST, warnig_result)
def scan():
print('hello scan')
# 获取配置
tasks = Task.query.filter().all()
D = Device.query.filter()
for t in tasks:
projects = []
if t.cpu:
projects.append('cpu')
if t.mem:
projects.append('mem')
if t.disk:
projects.append('disk')
if t.ssh_connect:
projects.append('ssh_connect')
if t.uptime:
projects.append('uptime')
if t.version:
projects.append('version')
# if t.device_type == HUAWEI_Switch.device_type:
# SCAN = HUAWEI_Switch(t.host, t.port, t.user, t.password, t.id)
# SCAN.start()
# elif t.device_type == H3C_Switch.device_type:
# SCAN = H3C_Switch(t.host, t.port, t.user, t.password, t.id)
# SCAN.start()
# elif t.device_type == LinuxScanner.device_type:
# SCAN = LinuxScanner(t.host, t.port, t.user, t.password, t.id)
# SCAN.start()
d = D.filter_by(id=t.device_id).first()
if d:
SCAN = LinuxScanner(d.host, d.port, d.user, d.password, d.id)
SCAN.start(projects)
if __name__ == '__main__':
# host = "192.168.3.66"
host = "192.168.131.4"
port = 22
user = 'user'
pwd = "Test1234"
d_id = 1
s = LinuxScanner(host, port, user, pwd, d_id)
s.start(['mem'])
| 35.126853
| 115
| 0.523919
| 2,463
| 21,322
| 4.402761
| 0.089322
| 0.026558
| 0.014755
| 0.022132
| 0.74834
| 0.732571
| 0.722427
| 0.719661
| 0.703154
| 0.699465
| 0
| 0.016697
| 0.339931
| 21,322
| 606
| 116
| 35.184818
| 0.753801
| 0.083904
| 0
| 0.618143
| 0
| 0
| 0.073158
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.056962
| false
| 0.042194
| 0.010549
| 0
| 0.120253
| 0.044304
| 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
|
7115f8b1110682a79d0b5a2f713e5cdc528538e6
| 65
|
py
|
Python
|
itempicture/__init__.py
|
machineandme/itempicture
|
87e29a14968a62563bece071b94360daa6ad89e6
|
[
"MIT"
] | 1
|
2019-09-16T10:36:52.000Z
|
2019-09-16T10:36:52.000Z
|
itempicture/__init__.py
|
kiselev-nikolay/itempicture
|
87e29a14968a62563bece071b94360daa6ad89e6
|
[
"MIT"
] | 4
|
2021-06-08T20:28:51.000Z
|
2022-03-12T00:06:00.000Z
|
itempicture/__init__.py
|
kiselev-nikolay/itempicture
|
87e29a14968a62563bece071b94360daa6ad89e6
|
[
"MIT"
] | null | null | null |
"""Application for generate images in same style with titles."""
| 32.5
| 64
| 0.753846
| 9
| 65
| 5.444444
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138462
| 65
| 1
| 65
| 65
| 0.875
| 0.892308
| 0
| null | 1
| 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
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
711b97b9e316e8173bd436ff8ffb83d2217f5b4f
| 46
|
py
|
Python
|
run.py
|
rgoliveira/PyTRON
|
6bf2c6acc5f9d2e1a789de9d0d1a412835d6fefe
|
[
"Unlicense"
] | 1
|
2019-08-06T22:59:40.000Z
|
2019-08-06T22:59:40.000Z
|
run.py
|
rgoliveira/PyTRON
|
6bf2c6acc5f9d2e1a789de9d0d1a412835d6fefe
|
[
"Unlicense"
] | null | null | null |
run.py
|
rgoliveira/PyTRON
|
6bf2c6acc5f9d2e1a789de9d0d1a412835d6fefe
|
[
"Unlicense"
] | null | null | null |
import os
os.system("python ./src/pytron.py")
| 15.333333
| 35
| 0.717391
| 8
| 46
| 4.125
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 46
| 2
| 36
| 23
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0.478261
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
854698908167f9510f85fc3a25d5b36b48d0dc60
| 397
|
py
|
Python
|
test/test.py
|
eunchan1001/phypy
|
17ae1e2bddf784c82f4a2c57721d1176b274072b
|
[
"MIT"
] | 1
|
2020-04-17T07:54:49.000Z
|
2020-04-17T07:54:49.000Z
|
test/test.py
|
eunchan1001/phypy
|
17ae1e2bddf784c82f4a2c57721d1176b274072b
|
[
"MIT"
] | null | null | null |
test/test.py
|
eunchan1001/phypy
|
17ae1e2bddf784c82f4a2c57721d1176b274072b
|
[
"MIT"
] | null | null | null |
from mphyspy.matrix import matrix
from mphyspy.quantum import atom
from mphyspy.quantum import constants
from mphyspy.quantum import quantum
from mphyspy.quantum import schrodinger
from mphyspy.srelativity import srelativity
def test():
matrix.test()
atom.test()
constants.test()
quantum.test()
schrodinger.test()
srelativity.test()
if __name__ == '__main__':
test()
| 22.055556
| 43
| 0.745592
| 48
| 397
| 6
| 0.291667
| 0.229167
| 0.25
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168766
| 397
| 17
| 44
| 23.352941
| 0.872727
| 0
| 0
| 0
| 0
| 0
| 0.020151
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| true
| 0
| 0.4
| 0
| 0.466667
| 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
|
855eabf29c0f78d1ddd7cd668d38cb2f9d85fd32
| 204
|
py
|
Python
|
questions_parser.py
|
Sando1/english-pybar-bot
|
ff44cc839dcdcf8d5293ec0ab5a850bc57bc20c1
|
[
"MIT"
] | 6
|
2019-10-17T21:38:19.000Z
|
2019-10-18T10:29:21.000Z
|
questions_parser.py
|
Sando1/english-pybar-bot
|
ff44cc839dcdcf8d5293ec0ab5a850bc57bc20c1
|
[
"MIT"
] | 13
|
2019-10-17T21:53:22.000Z
|
2020-10-31T05:08:19.000Z
|
questions_parser.py
|
Sando1/english-pybar-bot
|
ff44cc839dcdcf8d5293ec0ab5a850bc57bc20c1
|
[
"MIT"
] | 3
|
2019-10-17T22:09:36.000Z
|
2021-02-05T17:00:26.000Z
|
def read_file(file_path):
with open(file_path) as file:
return file.read().split("|")
def parser_list(questions):
return [question.strip() for question in questions if question.strip()]
| 25.5
| 75
| 0.696078
| 29
| 204
| 4.758621
| 0.586207
| 0.115942
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 204
| 7
| 76
| 29.142857
| 0.821429
| 0
| 0
| 0
| 0
| 0
| 0.004902
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.8
| 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
|
857923a9e8b1034680b553ca7164f3b370bd45c3
| 314
|
py
|
Python
|
pykechain/models/property2_activity_reference.py
|
KaczuH/pykechain
|
2bc734ddf2df4926e7ad5612197e50fee6e24071
|
[
"Apache-2.0"
] | 5
|
2017-05-03T12:19:51.000Z
|
2021-07-07T11:55:50.000Z
|
pykechain/models/property2_activity_reference.py
|
KaczuH/pykechain
|
2bc734ddf2df4926e7ad5612197e50fee6e24071
|
[
"Apache-2.0"
] | 593
|
2016-12-22T15:41:54.000Z
|
2022-03-22T12:39:49.000Z
|
pykechain/models/property2_activity_reference.py
|
KaczuH/pykechain
|
2bc734ddf2df4926e7ad5612197e50fee6e24071
|
[
"Apache-2.0"
] | 5
|
2017-03-13T17:36:28.000Z
|
2021-06-24T09:37:55.000Z
|
from pykechain.exceptions import _DeprecationMixin
from pykechain.models import ActivityReferencesProperty
class ActivityReferencesProperty2(ActivityReferencesProperty, _DeprecationMixin):
"""A virtual object representing a KE-chain Activity References property.
.. versionadded:: 3.7
"""
pass
| 26.166667
| 81
| 0.796178
| 28
| 314
| 8.857143
| 0.785714
| 0.104839
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011152
| 0.143312
| 314
| 11
| 82
| 28.545455
| 0.910781
| 0.296178
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.5
| 0
| 0.75
| 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
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
858a543bb7aacf1ec132f4e6bad9e2ab8c615315
| 2,272
|
py
|
Python
|
insights/parsers/jboss_standalone_main_conf.py
|
sagaraivale/insights-core
|
852a9669c998acf995e316bd407aeb4dbc6c485e
|
[
"Apache-2.0"
] | 1
|
2018-03-26T12:59:24.000Z
|
2018-03-26T12:59:24.000Z
|
insights/parsers/jboss_standalone_main_conf.py
|
sagaraivale/insights-core
|
852a9669c998acf995e316bd407aeb4dbc6c485e
|
[
"Apache-2.0"
] | null | null | null |
insights/parsers/jboss_standalone_main_conf.py
|
sagaraivale/insights-core
|
852a9669c998acf995e316bd407aeb4dbc6c485e
|
[
"Apache-2.0"
] | null | null | null |
"""
JBoss standalone mode main configuration - file ``$JBOSS_BASE_DIR/standalone.xml``
==================================================================================
This parser reads the XML in the JBoss standalone mode main configuration file.
.. note::
Please refer to its super-class :class:`insights.core.XMLParser` for more details.
Sample input::
<?xml version='1.0' encoding='UTF-8'?>
<server xmlns="urn:jboss:domain:1.7">
<management>
<security-realms>
<security-realm name="ManagementRealm">
<authentication>
<local default-user="$local" skip-group-loading="true"/>
<properties path="mgmt-users.properties" relative-to="jboss.server.config.dir"/>
</authentication>
<authorization map-groups-to-roles="false">
<properties path="mgmt-groups.properties" relative-to="jboss.server.config.dir"/>
</authorization>
</security-realm>
<security-realm name="ApplicationRealm">
<authentication>
<local default-user="$local" allowed-users="*" skip-group-loading="true"/>
<properties path="application-users.properties" relative-to="jboss.server.config.dir"/>
</authentication>
<authorization>
<properties path="application-roles.properties" relative-to="jboss.server.config.dir"/>
</authorization>
</security-realm>
</security-realms>
</management>
</server>
Examples:
>>> jboss_main_config.file_path
'/root/jboss/jboss-eap-6.4/standalone/configuration/standalone.xml'
>>> properties = sorted(jboss_main_config.get_elements(".//management/security-realms/security-realm/authentication/properties"))
>>> properties[0].get("relative-to")
'jboss.server.config.dir'
"""
from .. import XMLParser, parser
from insights.specs import Specs
@parser(Specs.jboss_standalone_main_config)
class JbossStandaloneConf(XMLParser):
"""
Read the XML in the JBoss standalone mode main configuration file
"""
pass
| 37.245902
| 133
| 0.582306
| 217
| 2,272
| 6.046083
| 0.37788
| 0.049543
| 0.057165
| 0.08003
| 0.515244
| 0.405488
| 0.300305
| 0.300305
| 0.300305
| 0.300305
| 0
| 0.00477
| 0.261884
| 2,272
| 60
| 134
| 37.866667
| 0.777579
| 0.915493
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.6
| 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
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
a40f7a0b61ed162db2fb5a97e545827413b92edb
| 63
|
py
|
Python
|
kanka/__init__.py
|
rbtnx/python-kanka
|
74e75243094816a5d0ddc33575951749a090c673
|
[
"MIT"
] | 3
|
2020-07-26T22:05:06.000Z
|
2021-09-14T12:58:45.000Z
|
kanka/__init__.py
|
rbtnx/python-kanka
|
74e75243094816a5d0ddc33575951749a090c673
|
[
"MIT"
] | 3
|
2021-09-13T21:08:12.000Z
|
2021-09-18T15:00:58.000Z
|
kanka/__init__.py
|
rbtnx/python-kanka
|
74e75243094816a5d0ddc33575951749a090c673
|
[
"MIT"
] | 2
|
2021-09-14T22:27:21.000Z
|
2022-01-07T01:35:45.000Z
|
from .api import KankaClient
from .exceptions import KankaError
| 31.5
| 34
| 0.857143
| 8
| 63
| 6.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 63
| 2
| 34
| 31.5
| 0.964286
| 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
|
a412eb5577036e821831207ead75e2b90b105bc2
| 59
|
py
|
Python
|
tests/runner/__init__.py
|
kumak1/kumaoche
|
4421670bd8db5654fd33378ffe298bb8f0e12788
|
[
"MIT"
] | null | null | null |
tests/runner/__init__.py
|
kumak1/kumaoche
|
4421670bd8db5654fd33378ffe298bb8f0e12788
|
[
"MIT"
] | null | null | null |
tests/runner/__init__.py
|
kumak1/kumaoche
|
4421670bd8db5654fd33378ffe298bb8f0e12788
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from .moc_runner import MocRunner
| 14.75
| 33
| 0.661017
| 8
| 59
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020408
| 0.169492
| 59
| 3
| 34
| 19.666667
| 0.755102
| 0.355932
| 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
|
a41d11c2f7efd523a439f589f1b6533e13430eec
| 212
|
py
|
Python
|
autofit/non_linear/samples/__init__.py
|
rhayes777/PyAutoF
|
87f56419348833b285b00da1a524e329588e0b01
|
[
"MIT"
] | null | null | null |
autofit/non_linear/samples/__init__.py
|
rhayes777/PyAutoF
|
87f56419348833b285b00da1a524e329588e0b01
|
[
"MIT"
] | null | null | null |
autofit/non_linear/samples/__init__.py
|
rhayes777/PyAutoF
|
87f56419348833b285b00da1a524e329588e0b01
|
[
"MIT"
] | null | null | null |
from .mcmc import MCMCSamples
from .nest import NestSamples
from .optimizer import OptimizerSamples
from .pdf import PDFSamples
from .sample import Sample, load_from_table
from .stored import StoredSamples
| 30.285714
| 44
| 0.820755
| 27
| 212
| 6.37037
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146226
| 212
| 6
| 45
| 35.333333
| 0.950276
| 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
|
a42156f32a65ffa22822153fc8f8b02a77bdebb6
| 54
|
py
|
Python
|
app/utils/enum/__init__.py
|
justTill/whereToLunch
|
555ffd9c987cbbb17bd4b69ab48fe23b58691bbd
|
[
"Unlicense"
] | 1
|
2020-05-21T15:12:19.000Z
|
2020-05-21T15:12:19.000Z
|
app/utils/enum/__init__.py
|
justTill/whereToLunch
|
555ffd9c987cbbb17bd4b69ab48fe23b58691bbd
|
[
"Unlicense"
] | 10
|
2020-04-08T14:44:17.000Z
|
2021-06-10T20:00:10.000Z
|
app/utils/enum/__init__.py
|
justTill/whereToLunch
|
555ffd9c987cbbb17bd4b69ab48fe23b58691bbd
|
[
"Unlicense"
] | null | null | null |
from .reasons import *
from .customizeChoices import *
| 27
| 31
| 0.796296
| 6
| 54
| 7.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12963
| 54
| 2
| 31
| 27
| 0.914894
| 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
|
a42873ebcb3bcbf3c11b71995fe8c7ad2f120856
| 38
|
py
|
Python
|
trac/trac/versioncontrol/__init__.py
|
HelionDevPlatform/bloodhound
|
206b0d9898159fa8297ad1e407d38484fa378354
|
[
"Apache-2.0"
] | 84
|
2015-01-07T03:42:53.000Z
|
2022-01-10T11:57:30.000Z
|
trac/trac/versioncontrol/__init__.py
|
HelionDevPlatform/bloodhound
|
206b0d9898159fa8297ad1e407d38484fa378354
|
[
"Apache-2.0"
] | 1
|
2021-11-04T12:52:03.000Z
|
2021-11-04T12:52:03.000Z
|
trac/trac/versioncontrol/__init__.py
|
HelionDevPlatform/bloodhound
|
206b0d9898159fa8297ad1e407d38484fa378354
|
[
"Apache-2.0"
] | 35
|
2015-01-06T11:30:27.000Z
|
2021-11-10T16:34:52.000Z
|
from trac.versioncontrol.api import *
| 19
| 37
| 0.815789
| 5
| 38
| 6.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 38
| 1
| 38
| 38
| 0.911765
| 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
|
a476778cdd8dc76114c94a58602cdcef03ce7828
| 147
|
py
|
Python
|
decorators/formatters.py
|
adelsonllima/djangoplus
|
a4ce50bf8231a0d9a4a40751f0d076c2e9931f44
|
[
"BSD-3-Clause"
] | 21
|
2017-10-08T23:19:47.000Z
|
2020-01-16T20:02:08.000Z
|
decorators/formatters.py
|
adelsonllima/djangoplus
|
a4ce50bf8231a0d9a4a40751f0d076c2e9931f44
|
[
"BSD-3-Clause"
] | 6
|
2020-06-03T05:30:52.000Z
|
2022-01-13T00:44:26.000Z
|
decorators/formatters.py
|
adelsonllima/djangoplus
|
a4ce50bf8231a0d9a4a40751f0d076c2e9931f44
|
[
"BSD-3-Clause"
] | 9
|
2017-10-09T22:58:31.000Z
|
2021-11-20T15:20:18.000Z
|
# -*- coding: utf-8 -*-
def formatter(name=None):
def decorate(func):
func._formatter = name
return func
return decorate
| 16.333333
| 30
| 0.591837
| 17
| 147
| 5.058824
| 0.588235
| 0.302326
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009524
| 0.285714
| 147
| 8
| 31
| 18.375
| 0.809524
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0
| 0.8
| 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
|
f1367224f1a8332e7cec346523d36928a63ac5fd
| 354
|
py
|
Python
|
tests/pydecompile-test/baselines/always_image_too_large.py
|
gengxf0505/pxt
|
eca93a0e0605e68adcfbebce778cc5912a10efcf
|
[
"MIT"
] | 1
|
2020-11-11T01:47:26.000Z
|
2020-11-11T01:47:26.000Z
|
tests/pydecompile-test/baselines/always_image_too_large.py
|
gengxf0505/pxt
|
eca93a0e0605e68adcfbebce778cc5912a10efcf
|
[
"MIT"
] | 3
|
2019-08-13T14:36:05.000Z
|
2020-01-18T00:04:19.000Z
|
tests/pydecompile-test/baselines/always_image_too_large.py
|
gengxf0505/pxt
|
eca93a0e0605e68adcfbebce778cc5912a10efcf
|
[
"MIT"
] | 2
|
2019-10-29T06:56:11.000Z
|
2021-05-25T10:18:12.000Z
|
#/ <reference path="./testBlocks/mb.ts" />
item = images.createBigImage("""
. . . . . . . . . . . . . . .
. # # # . . # # # . . # # # .
. # . # . . # . # . . # . # .
. # # # . . # # # . . # # # .
. . . . . . . . . . . . . . .
""")
z = images.createBigImage("""
. .
. #
. #
. #
. .
""")
| 22.125
| 42
| 0.20339
| 11
| 354
| 6.545455
| 0.818182
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.466102
| 354
| 16
| 43
| 22.125
| 0.380952
| 0.115819
| 0
| 0.785714
| 0
| 0
| 0.766773
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f17247c62056c48f4c66393e8acc9470a9be5d1a
| 163
|
py
|
Python
|
Lab_1/test_test.py
|
spencerperley/CPE_101
|
9ae3c5a0042780f824de5edee275b35cdb0bbaec
|
[
"MIT"
] | 1
|
2022-01-12T21:48:23.000Z
|
2022-01-12T21:48:23.000Z
|
Lab_1/test_test.py
|
spencerperley/CPE_101
|
9ae3c5a0042780f824de5edee275b35cdb0bbaec
|
[
"MIT"
] | null | null | null |
Lab_1/test_test.py
|
spencerperley/CPE_101
|
9ae3c5a0042780f824de5edee275b35cdb0bbaec
|
[
"MIT"
] | null | null | null |
from test import *
from Lab_1.test import change_index_1_to_1
def test_is_one():
b = [1,4,5]
change_index_1_to_1(b)
assert (b[1]) == 1 ; "faild"
| 18.111111
| 42
| 0.638037
| 32
| 163
| 2.90625
| 0.5
| 0.215054
| 0.258065
| 0.301075
| 0.322581
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 0.233129
| 163
| 9
| 43
| 18.111111
| 0.664
| 0
| 0
| 0
| 0
| 0
| 0.030488
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.5
| 0
| 0
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
f1768802fb5304a22c83ed013b22caf7501582be
| 181
|
py
|
Python
|
Python3/1385-Find-the-Distance-Value-Between-Two-Arrays/soln.py
|
wyaadarsh/LeetCode-Solutions
|
3719f5cb059eefd66b83eb8ae990652f4b7fd124
|
[
"MIT"
] | 5
|
2020-07-24T17:48:59.000Z
|
2020-12-21T05:56:00.000Z
|
Python3/1385-Find-the-Distance-Value-Between-Two-Arrays/soln.py
|
zhangyaqi1989/LeetCode-Solutions
|
2655a1ffc8678ad1de6c24295071308a18c5dc6e
|
[
"MIT"
] | null | null | null |
Python3/1385-Find-the-Distance-Value-Between-Two-Arrays/soln.py
|
zhangyaqi1989/LeetCode-Solutions
|
2655a1ffc8678ad1de6c24295071308a18c5dc6e
|
[
"MIT"
] | 2
|
2020-07-24T17:49:01.000Z
|
2020-08-31T19:57:35.000Z
|
class Solution:
def findTheDistanceValue(self, arr1: List[int], arr2: List[int], d: int) -> int:
return sum(all(abs(val1 - val2) > d for val2 in arr2) for val1 in arr1)
| 45.25
| 84
| 0.657459
| 29
| 181
| 4.103448
| 0.62069
| 0.117647
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055944
| 0.209945
| 181
| 3
| 85
| 60.333333
| 0.776224
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
f17734c05d7bc48b026dabff03490266ba9ef796
| 148
|
py
|
Python
|
sense/surface/__init__.py
|
Assimila/sense
|
62dc29a619b7e110f42fe599c20dc1070b812250
|
[
"Apache-2.0"
] | 3
|
2018-10-08T13:40:52.000Z
|
2021-03-07T07:59:40.000Z
|
sense/surface/__init__.py
|
Assimila/sense
|
62dc29a619b7e110f42fe599c20dc1070b812250
|
[
"Apache-2.0"
] | 2
|
2017-07-31T12:51:02.000Z
|
2017-08-10T22:09:56.000Z
|
sense/surface/__init__.py
|
PMarzahn/sense
|
332852bf781620a5cc714efb2d86ffaff5275955
|
[
"Apache-2.0"
] | 6
|
2018-06-29T10:10:36.000Z
|
2022-03-06T20:24:54.000Z
|
from . oh1992 import Oh92
from . oh2004 import Oh04
from . i2em import *
from . dubois95 import Dubois95
from . watercloud import WaterCloudSurface
| 24.666667
| 42
| 0.790541
| 19
| 148
| 6.157895
| 0.526316
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138211
| 0.168919
| 148
| 5
| 43
| 29.6
| 0.813008
| 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
|
74b3f065b1235cd5eab74fb3ec4873addede90d1
| 826,329
|
py
|
Python
|
images.py
|
konnected-io/nodemcu-pyflasher
|
8aae4aeea14bda8cffdc87550358f95c39780ad2
|
[
"MIT"
] | null | null | null |
images.py
|
konnected-io/nodemcu-pyflasher
|
8aae4aeea14bda8cffdc87550358f95c39780ad2
|
[
"MIT"
] | null | null | null |
images.py
|
konnected-io/nodemcu-pyflasher
|
8aae4aeea14bda8cffdc87550358f95c39780ad2
|
[
"MIT"
] | 1
|
2019-08-01T23:31:02.000Z
|
2019-08-01T23:31:02.000Z
|
#----------------------------------------------------------------------
# This file was generated by encode-bitmaps.py
#
from wx.lib.embeddedimage import PyEmbeddedImage
Exit = PyEmbeddedImage(
b'iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAAK/INwWK6QAAABl0'
b'RVh0U29mdHdhcmUAQWRvYmUgSW1hZ2VSZWFkeXHJZTwAAAN1SURBVHjaYvz//z8DJQAggFhA'
b'xEpGRgaQMX+B+A8DgwYLM1M+r4K8P4+8vMi/P38Y3j18+O7Fs+fbvv7+0w9Uc/kHVG070HKA'
b'AGJBNg0omC5jZtynnpfHJeHkzPDmxQuGf6/eMIj+/yP+9MD+xFPrN8Reu3W3Gqi0D2IXAwNA'
b'AIEN+A/hpWuEBMwwmj6TgUVEjOHTo0cM9y9dZfj76ycDCysrg4K5FYMUvyAL7+pVnYfOXwJp'
b'6wIRAAHECAqDJYyMWpLmpmftN2/mYBEVZ3h38SLD9wcPGP6LioIN/7Z+PQM3UB3vv/8MXB/f'
b'MSzdvv3vpecvzfr+/z8HEEBMYFMYGXM0iwrAmu+sXcvw4OxZhqenTjEwAv3P9OsXw+unTxne'
b'6Osz3Ll3l+HvyzcMVlLSzMBwqgTpBQggsAG8MuKB4r9eM7zfv5PhHxMzg4qLCwPD0ycMDL9/'
b'MzD+/cvw/8kTBgUbGwbB1DSGe1cuMbD8+8EgwMPjCtILEEDgMOCSkhT+t20Nw4v7nxkkNuxm'
b'eLNmFYO0sCgDCwcHAwMzM4Pkl68MLzs7GGS6uhmOCwgxcD2+x8DLysID0gsQQGAD/gH99vPL'
b'dwZGDjaG/0An/z19goHp/z+Gn9dvgoP4/7dPDD9OnGD4+/0bA5uCAsPPW8DA5eACxxxAAIEN'
b'+PDuw/ufirJizE9fMzALCjD8efOO4dHObQx/d29k+PObgeHr268MQta2DCw8fAz/X75k+M/I'
b'xPDh1+9vIL0AAQQOg9dPX2x7w8TDwPL2FcOvI8cYxFs7GFjFpRl+PP/K8O3NVwZuIREGpe5u'
b'hp83rjF8u3iO4RsnO8OzHz8PgvQCBBA4GrsZGfUUtNXPWiuLsny59YxBch3Qdl4uhq/rNzP8'
b'BwYin58PAysbG8MFLy+Gnw9uM5xkYPp38fNX22X//x8DCCAmqD8u3bh6s+Lssy8MrCLcDC/8'
b'3Rl+LVvOwG1syMBrYcbwfetmhmsOdgy/795iuMXEwnDh89c2oJ7jIL0AAQR2wQRgXvgKNAfo'
b'qRIlJfk2NR42Rj5gEmb5+4/h35+/DJ+/fmd4DUyNN4B+v/DlWwcwcTWzA9PXQqBegACCGwAK'
b'ERD+zsBgwszOXirEwe7OzvCP5y/QCx/+/v/26vfv/R///O0GOvkII1AdKxCDDAAIIEZKszNA'
b'gAEA1sFjF+2KokIAAAAASUVORK5CYII=')
#----------------------------------------------------------------------
Reload = PyEmbeddedImage(
b'iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAABGdBTUEAALGOfPtRkwAAACBj'
b'SFJNAAB6JQAAgIMAAPn/AACA6AAAdTAAAOpgAAA6lwAAF2+XqZnUAAAABmJLR0QA/wD/AP+g'
b'vaeTAAAACXBIWXMAAABIAAAASABGyWs+AAAACXZwQWcAAAAYAAAAGAB4TKWmAAACZUlEQVRI'
b'x7XVT4iXRRgH8M/8Mv9tUFgRZiBESRIhbFAo8kJ0EYoOwtJBokvTxUtBQnUokIjAoCi6+HiR'
b'CNKoU4GHOvQieygMJKRDEUiahC4UtGkb63TY+cnb6/rb3276vQwzzzPf5/9MKqW4kRj8n8s5'
b'53U55y03xEDOeRu+xe5ReqtWQDzAC3gTa3D7KP20nBrknDfhMB7vHH+Dj3AWxyPitxUZyDnv'
b'xsElPL6MT/BiRJwbaaBN6eamlH9yzmvxPp5bRibPYDIizg96pIM2pak2pSexGiLiEr7H3DIM'
b'3IMP/hNBm9It+BDzmGp6oeWcd+BIvdzFRZzGvUOnOtg6qOTrcRxP4ZVmkbxFxDQm8WVPtDMi'
b'tmIDPu7JJocpehnb8F1Tyo/XijsizmMX9teCwq1VNlvrdKFzZeOgTelOvFQPfurV5NE2pc09'
b'I/MR8TqewAxu68hmMd1RPzXAw1hXD9b3nL4bJ9qUdi0SzbF699ee6K9ObU6swoMd4Y42pYmm'
b'lNm6/91C33/RpvQG9jelzHeMnK4F7uK+ur49bNNzHeEdONSmNFH3f9R1gNdwrKZ0UeSc77fQ'
b'CCfxFqSveQA/9HTn8DM2d9I3xBk83ZQy3SNPFqb4JjwTEX9S56BN6SimjI857GtKea+ST+Cx'
b'6synETHssCuv6V5sd/UQXQur8VCb0tqmlEuYi4jPF1PsTvJGvFMjGfVPzOD5ppTPxvHkqseu'
b'Teku7MQm7MEjHfFXeLYp5ey4uRz5XLcpHbAwhH/jVbzblHJ5TG4s/aPN4BT2NKWcXA7xuBFs'
b'wS9NKRdXQr6kgeuBfwEbWdzTvan9igAAADV0RVh0Y29tbWVudABSZWZyZXNoIGZyb20gSWNv'
b'biBHYWxsZXJ5IGh0dHA6Ly9pY29uZ2FsLmNvbS/RLzdIAAAAJXRFWHRkYXRlOmNyZWF0ZQAy'
b'MDExLTA4LTIxVDE0OjAxOjU2LTA2OjAwdNJAnQAAACV0RVh0ZGF0ZTptb2RpZnkAMjAxMS0w'
b'OC0yMVQxNDowMTo1Ni0wNjowMAWP+CEAAAAASUVORK5CYII=')
#----------------------------------------------------------------------
Splash = PyEmbeddedImage(
b'iVBORw0KGgoAAAANSUhEUgAABAAAAAJACAIAAACc94OCAAAAA3NCSVQICAjb4U/gAAAgAElE'
b'QVR4nMS9abMlt5EolplALWe9++2+3c1NpEiKokRS0jzPjP38wks43nP4dzrC4S/+PBGOsf38'
b'pJFmtFIbSZHNrfe++9mqAGT6A6rq4NRy7unbVzLEaJ1bhUokgNyRAPD/+NcvrLXWWhFBRAAA'
b'gOpHW2EAQFTVbyABICIdR70oSkAIAADZ2iw3s/nk8uLijJkREdghIiL6P30rtbYQ/OdSPRFC'
b'ACCiJEmSOFVKISpEBCCPs4gAsIgDAAEmAZHicw5g+wrk0SueyJW/Kwz9w3CUWis3S9UVEZHy'
b'0wpIrd31wKsKzUZXngsu4QQj6X8KIAAIoR86RERhZl4sZqenpydPnz179uxiMheRSPeSJAFU'
b'AKCUIiLU0dHdO6+9+p3BaEg6Lge/pYhIlmV5ngNAmqZJkiCitVYpFBHnHCJeXEweP36MiNvb'
b'24eH+4hIRESEJFVfEJR/7mccriBOEBERMSZzzhGRUiqk6gpbj4Ovo7WOoggRmYGZPQ7+BwD7'
b'T5iZmUVE6/hKHDxfFPgHBC/OzWaTZ48fL2YX/bQ36CVRpECRY2CFw8F2fzByQr6bL1EYAASc'
b'CCOLgAN2IiJsPQVKWQp68IzjRwalPqGOa2NbG8nwLayQG4Sj3RyxVspp5YuV1knYmcV0cnL8'
b'/PT4ZDAa7R3e29o76A92kJSIMDMBAiEACaJCAQBrrZ9rT0h+Rpxz5XRrLItzpmouy7Kvvvrq'
b'17/+9WQyISIPvGCZUnx5Sq51YQ1frB+BK5/UpJCDlflCRN9NAGBemThfnxqzs6EMbK2/BsOq'
b'uHK0RATLV4GwYv+bmb1EQm4Zt4B+lv1tk4TtshEg7FcTPIiIH7RmH1GAASkd3Ln76ltvvX94'
b'eBhpDSCoSCFoEJdPbX6uIxoOxkmvT0oBAJFSSikVVfCtzT3xeIHjpY1zhpkRQetIa+0Z34k4'
b'5wQcs0OWLJ+6PJsvJorBi6Ol3kRudMWPgoKSDoGUiACLiFSzX6NPryVLkl4hm9q/V8m9loGF'
b'Vab2v818Nl9MUUApAgAvb6sJ9cULQc93JbZLuVrV93UAwDmXW0al4t724Z03mRIkciDIwsxK'
b'UIQdOBHnGRmsccY6k5t8kee5MXNnjLU5O2uM8ZPla3oDaT6fT6ZTx+bNN9/c2RoLMwkgIkU6'
b'iiJ2cHp6ms/m1loGcSJ3X7nXHw5QCIAJ0AkrFTlQh3ffSAZjFrIMwF6/MABYYRFBpwBZg0wu'
b'z/73/+1/nV5eIAojiCAoms/zRZ6XCqKwxEScEnbCRJoxFj3oDcaHh4cXZ8dnx4+dnWlCQRBW'
b'ovuDvVcHW3tRMiACsHk2OzOzU7e4zKYTYIcq9uIwyxbWzRDc3tb2qJfeOri9NRy8/uodpWAy'
b'mTx8/Oj0ZDa3Mstzi+Kcs/lcGbbOWVKMgMaKOImiN998K1U9dvjGd999/Y03QFyscdjTf/rD'
b'7wAyEXnt6C3nXNpPJvPJH//yF6Xw9Xt3Dw5upcMDpfHJg08ePXg4HBzdOrw3vZw9f/JwdvZ8'
b'a5w+PX7650//5Ky5e+fe0eFRlAwco0OaLyxFWmv9xhtvPHv2ZDabpTrxVsfrr79+cXZ+cXGx'
b't7M1mUxsbph5ni2cc/3h+ODWITOL0vu3b5+en4mIVnB+/Nxl8z5qZ/PJ2el0Po8TDYiz+UQc'
b'28Win6SMCFqNtneS8dA5HI1GGvXDbx8cbO8Ox6Onx88zZ2ez+WA0nEwmwLy/vfPs2ZMkHYgm'
b'BLW1s/3q3Tt//uMfzGxx985tTfj1t9+IYDocOMbh1vj09Hz/4CBOBhnbOEpG21taa0R48uDh'
b'eDyM0JO9scKTy9nCGZX27716L45jIWFGFtSiEBHQzi9OTu7/5fnDby8up6Liwf7R+x/+SHta'
b'r7hoyX70AlbI5nKhEl61H8sK4KVRIES64VdAJBBtsOLJANTEkNQ/r5WasRLqm1Y7pgZtjeJH'
b'RIHOt6341CT1+nEIfmw0HTXI3s4O3zrnjDFezRRDzRwOwprOhoRUjYw3vHwFY8x8PheRfr8/'
b'HA43QRg2oLQaXVXmWg1V31kpHcjCQA8dp9UOXk/zdb0KLWMQAUCQUM/dQCn9Jbf5JyISGlgF'
b'nM6aG+EQst4mg7kechcHvejsXIOLq47UhENIabXKm6DRJMsahBB46wDiqlu7plP/v5QQ/9DC'
b'C+tcj+zXS+P1+NSavlJ0d8BZ8Uaqsknv/OdX44+MAt529+wJZcdFpPVrRASBJlliiTE0aHXF'
b'herA6MZJyOPTNAOWDa2OrYhw4Bx6VVVjBCKyzoXsICDoK3tPFJamQve8LCvUHBhEhMBMQqRK'
b'fQBQyLxlBQTxvkoRdwABFoeIwt6uweaMAIAgKq1X1DG2O6/F5wg1d9BHrJZjWzZACrTWSiEz'
b'szAXKggRUaAMVAkxswgi0uVk1k97k8nkcG/3y6++Orx1cHj7CHU0n32RXUwIOUJiZoWEBOBc'
b'ESIB0Do2IMZaJdZaMdYyglYqSqMsW5wcH4+H8XA4tDYHgPl8nqb973//B2dnZycnp+xovKvG'
b'4/50OkXE8Whg8ixfzLQm59xsuiCB/a2d07OTk2fP4zglNdE6HW7tvvLq3V46uJhOptPp1tZO'
b'HKepjhaLBQCfnZ1NLi6ttc+fP7fWjocjpZQTzvPcOXd5ebm/vy+K8vki1hEinJ8eR4RxFF+e'
b'np4dn7DNh8Nhr9+bTKfsQBHt7OzO5/MoiihOJvNFf2cny7NFZhaTMwBARc+fP7fiXn311XmW'
b'XVxeRlmWJMkiz8bbO4IESh8eHqo4Or24tCzjne3cmGQ4JBXlzsZpD5UWhJ3dXefcLJslvZQU'
b'TiaXWmub5+fnp6NB8vzs/OmzxyzYHw17/f7O9u5gvJMkKbNDRCJEAedECShEtu7J06cgPBwO'
b'dX842NkhrchaG8aKNimtsqCmGq+sDw3urYGqSYTaw/D5JghX33bhGTZXK5sDby2Cy/82hHll'
b'6Rq69SXEoSn+/PPQXvdRUl98IMQ5V7W4Xl9WEtAvHYRNICKiynM7n8+JqNfrJUmCqMplJQCh'
b'YoWijRKuLLVehFZaCMqH4vyfvoNVhVIO1u2t601clzXpAj2xyZBeo6yh/Jfs1OYI+B8v37W/'
b'Hp5NyGukRJMma0+6DItWmK3QoDE7tYmr/iQBElCA/ocPSbZ2yr9t7WNXT5sPr1FCNqwabR0i'
b'EmgN/68igxtGNzZHrzkvrWzSLF5ChmbWmsqtU1+D5n/4FcBiNgNrVYIllMpqbHUgQ5oMTVhG'
b'4GABsLVHIiiCNxiMaA5mjRhaBVTzefVts5sVfL+S0LRnumZnTR9bTP+OsGArPZdeAUBDB9XQ'
b'q40PY/EkjmOtNePKKl+JlVQLNeFIQrGYw/6/ptftUfVka63N8zzPrLVsnaDSDCTeXUINgCIo'
b'oEQlr33n7cU8f/DgweGduyeX048//Wy8u/uDH763t9NP0aCdamIiynNLUayQCJAEnWXHAkpT'
b'EjmUqZ0LIUaxjtLFIhfr2NheHAuY3GZEkGUZOHrn7ffefueDy2n+6MG3p8+ePf72myTCSIFC'
b'Z83s4vzUAFxMZ8B4dHh07/ZdFvfNg69BASNPLs/OTo4J5ejw1vb2zmKRzecLEen1EkQ8Pj6e'
b'TCZxHPd6PURM05TKdTpAzrI5AItz97/4zC5mPQWnTx+dPXt2/PjxxekZihuNRiLy9MnzbJ6P'
b'BuOdnb0k7SNpUIlhyXKLFOfWxUlqHA9HY+N4tLXNgJ/fv39xOd2/dfuN77x1cHg7GQzifv/2'
b'3Xu7h7eSwVCnvWmW79+5k45H/Z2dk8lk4dzerduDra2kP6A4GY4H6ajX60dxrJMkihT20ziJ'
b'aTToOZs/e/7kybMn08UUFQx3RvsHB/1+v5JL1SoWkjiTozgROTg87A8HIjLcGelYU8gbnmL8'
b'uHQxRq28kJ7oUk5d/NyqosInrZJ6jSBeX+dK8b1JEzde1jfU2ovWT2rDW5Ow/iFBXX/44umh'
b'Vba2NoGB4vF5F7AajGcuPO8kSTxDdsno9Z3qqhw2yrwiCquGqCxhtVpDK8Gka60GtOuGVTWM'
b'qCpMbqxUqW5CZXRqHfzmpN8UkW8Cp6vODXpEG/YF2+QPdEuMJkPVyGzNh2vq1yBDg39rCLT2'
b'Lvxww/52jst1S41ranYVvNwUy7UWAbpAhX920z+Fz2uGck3O1L7sQLV94Wj5G9l7bgqwOW5d'
b'tBEa2VXlK0M2a95er6yfnXAYQzybb6sntWrrbeuqXGnoh4lPTSRrY9iEVptxX8EnBwaVuTLB'
b'm32EYBIFUUSiKNJxVCMJ172iW2U7I2KZ+ypSqy8OmEWciGMQy+JAAJWKYiANqAi10nEUJUpF'
b'CAqAjIPDo1dee/PNp8cnv//jn/qjsWP46c//ZTq9/PCjH77z9ndGvYSEnc3jODa5FZHKgGSG'
b'LM+dc6CUNYy6CAVOp9Pd3X0AYGZjMhYrIuzAWp5N87Q3+uCHPz7Y3fvy/ud5nhMgohByRDLs'
b'J/1+Ot7aJoxBaG//8M3vvCUijx8/TtP44HCvl8ZPnz49Pj7WWo+GW0mS5MZcXFzMZrPhcLh3'
b'sB/HsQNh5pOzU1R0dHQ0GI+YWSl1Mbl8+vQxWGPms/OTYzOdkXOKKIpUr9ebz+cnZ2dElKZp'
b'mvbHo+3+cJw5Pjm/mM7N3q2ju/deeeW17+zfug1Kx/0BK7VwZpGZ3Lik32PBzDHoaGtvX6W9'
b'3mjcH2/lLBTFvdF4tLPrkKaLxaNnz3Zv3eptjaP+YO/W7e39g6ifjrbGg+EYter1elEUzefz'
b'6XR6fn5+/8svLy4vx9s7d1+598prrx3cuo1aFVyvl0mAiIKImtTZs+N+v2+MOT4+7g0HWzvb'
b'oJWuaPdKp7arXCmCm1pqHXysPycBBCDESgKGOJcwUXz0C2tLhwBtYqVLDzURq+Hc1Jdd/Hzj'
b'tot4GYUSPlzzyYYGKyKKD2IJQMPSJSIqiaR6FUYd1rdSZeEH0hOYwVprjAGAMvzfomt9Juv1'
b'CpYZPl4lVBPXpHMA8AsdIqKUIIrPCK/lwra6By9elosMxd8I2qNa5KbTTRANVQ2F3FG88vtQ'
b'0AXaiADKkJIgyJLGZLlp5aVxImpyVpOhurhvWeEF22228qKf16RN06Kt/WiiDVdl77RKleZD'
b'xPbQbIjbGnm1YX9DVF9eiAk4RFSl81kTs60jsAGG3a3V0X5p/EUAViYCEQGQgCAQmIE/v/mA'
b'X7HwHnIfIkK4tStI92gltuXAlnzXJag7RFoYLHiBNML1pUlRIkV8wjXTYII/w2WWmhqqQifM'
b'LMK0kqKDiEWsBaAlU67gtRZMlxsSwvqt3AcNmvQjWlM9BUqEZRyNPG61b/3GMyg2PfYYRHkE'
b'lqTA4DUjsl8nXyaGeQiAmjDWisotMR48IQqA48yxARdJkSemQEeETpxFLQSo4kgnscojNAsG'
b'EefOJpO33nvfOPvpZ3+yIEe3b0ekfvf7j3fGo3fffffu3bu/+d0f73/9tXFCClmAmR07QVBK'
b'MTOI0kqLoEYN7ITh/Px0vL19eWZzw6CsZYgjx0wIYq3TkRKWu0f3bDZ59GixWOQg7uLieDG/'
b'TDX2tkYANNHaGJMmcX+8YwDu37//+eef/eCDD28f3b24nNncfvvVt7uHB7t7e6fPnsVxOhxH'
b'AJBlmclzRBxv71prUUUU6SRJFlk2HI+IdJI4s5hPzk/yRSYmZ0SlcDAYaK17g1E8n8VxPBqN'
b'2IGQevr0WeZguL179Oq920d3jYBKUoqT3misktTyfDKfRb3+zng03t0j1HHad2yccwdbWzpK'
b'lVKRc1ESJ73+YjZNx+MH33z9xtvvWGtBJyrp67THubIGnTAQZYuFWuTT6Ww+n0cKt3f3Hz95'
b'ePvuvddef70/GjoUy6CUFgAgZGRmjADF7wW0BvKMEJM4Pjt+GkVRmqbz+TzZ2tFNJSFlSnQL'
b'X5QVNhTXob3+oq+gzUy/4nNcKoArDYsu3faiaq9roDaE0xz89TW7cqC7LIkr9VHNyPNyKoya'
b'h2I3tIDXUwiUNl/zc/+nMQYRtdZegrdaPBUCV/ShUfxX1QYy55yPSTRB+ec+u0lEvDbxQjmU'
b'+9WAbI5Aq6EGID6GuMTTZyshFlvbb8ZtJESvW6W0ilTBHR001tRtV5PiC1qHN2JQbl64pP1r'
b'0A8ElF9RIDbs7C6KDeGsN3DXCLemTR/CrAnJAOeWeamshNa2NpSNTWQ2n00MArRh7zb8/Eqc'
b'u1pcU63LIK6PRgNm85Pah7LqKG6C5xqwKADAKNAMDlylo7Ep20NK3gS9GxcCUu7uXX7eMf4V'
b'kk3VUxthn/DJzETtpkvlmNWknDSGVGSp+ELrv8bFK9xXoLdc5fas5tNli8qlr9g6YiU0geCE'
b'EkRM01QYUCsR20QeoPAB/BgAsCAheg+BnXM+sr7SIjtnLFtDmgGIdKSjBIjRMFujlAMhhGL/'
b'OiICkHF2Op85pFffevticvn8yaMIqZfEwvT4yfHZ+b++8847P/m7Hx0cHPz24z+enk1AESEI'
b'gRNgZnEAAC43wpZQFIjLM2vzpLdFap9NPs+yWGtjjAhGaeKcW+RWoUQAs8l0ONhyYr998Gh7'
b'a2s0GswuL7J5bgF7w1F+MZlbHg56737vw+3d/V/96t8+++yzKE4PD46cVfnFRZZlcRyj1rHW'
b'eZYbNkQatNrZ2t3eGT9/ekyaBGj3YD/pDyzzIssYJO330Ll8viAiY4wIodJ5lotInPRu3bo9'
b'z7Kvvv4CCAfj0WvfvXX33qtJb6DjaJHbNIJFZrZ39/v9/nw67dmhTuJerxd7R06pxWJhFoso'
b'ThkJCQEjy6AQUGlS0WtvfMdkea/f76WDOE2ElCjlMshzi4iLzFo3JUVbOztbW+Pp5STq9Xd3'
b'd5N+zIJe4TsWFBLm4qgPEOecQiKBh98+eP7kycXzJ9bmo9GWcw4VWWt1yEsVT76MdG6Qtbdy'
b'PKtAyahLg6+mSmu61pPtlYo25AtGqGQKijeafUp3O3phaWrr0IMPB2oT/+EaFk/7J2vjsLUB'
b'XLpnglCuDLYFlqnUbiuBqFr2vJTeYGuqa5cpWSEWGk/VQyJyzllrlVI+C/9KLfhCxaNdaQUf'
b'4MdyY0A4wpVeUUoFE+1qblPlAGyeGtfaEQ42gWB15NHqaL9IBHFdaU6NhDagEIhAwRf1KFRJ'
b'b14QAAT0c73Z6TKJmjbllSxWkBM0VwoDCDc0iBXptsqcGmHXcdhs/c2XVoO+1mjN0O+qHE6y'
b'R8OvoMqLmGthiy+pCwKeAm8kran5QqZzd1mh9PWIbV5ap7uQJy0AW87yEpFW3JqYLNuS5SwI'
b'CABLEdVpccMQsbIglzBZKuevqdd47RiUkMOOdK5atNJJczYr678yiwHAa4Rm5Va+6ypEpBS4'
b'1S1VXhSEba12baPSnDNv9xcOt+eyWlgHwDknzps6KxvnnHMAjKhAAICh3AuOQlL8Lma/1+sB'
b'L6eg1McFGxUyWQAQXBWtEwB27MxiNjUmK4CXb1kE2CrEiJRDhaAgisFFbkEmXwCqKnm87Chr'
b'rWbZwgDppP/e+z/89Wx2/vwEtkdapTOxlzPzi1/95pXHT3/4wfs7Ozu/+93vvnn4MDdOkQbS'
b'uWVrmYhIGWcXwnmSpsdPjgejcZSkSZLO5zNekDibZxkRKWesNekoVgRs5ufnlwe3Dg9u3Xr4'
b'8NGfP/n8zsH23s72EPHkYkpajXf3gBQAJP3h+z/4kaLkl7/61z98/Hv6KN7dOxztbE0mc8Mu'
b'y/PtnZ3Yudl8CoIRxnG/P8uNQ0SkBfNAJfu3j0jrxWKxmE1SrWy2YMOTi3NjTBzFvdFYEKbz'
b'xXh7O0f84ptv4sFgvLX15rtvKx0jIqOaZrkgIimMovFuKsL9aFzlPrBCAHSITDjcGhvn4khL'
b'SRLOSRRFkiQiMrmcDaIkSZJFljOQc0YpDWCcSJz2oyQeDAZxHCuF2rlhv6f7PSNOuDB4vEfI'
b'IEQKAZgFEbWiyen5t19/2Y8UCpgs5wE75+bTWX9sljvNK2MIg6Narl2WKgqXT5rRlK5/YdUU'
b'gFUR0K10oZYh49m8VC0KgNerhqau7erXGkUVAllj96xp4iVV4CY6O6jjbcGlKRwKUGZGWC5l'
b'Vq+qCrWGQtsa2mZNyoPVmDmO4ziOvRHcat+8ZCnUswgE+3prxpOUO5XDppthpJeZkWW7EhAz'
b'VYTkmya/YedGtzgWrQMoEbuetmtE65+tqb95CaNQTaqAlzMxA8dpWVbthheOULaCksCwaJaX'
b'5NmQUGsAu6xDWCthas9fEr2X9AFgdfSa8wVrvakry8sLzE2aCP9cdkfqIu5FpX2ziRWAUrYn'
b'DgQEhaButYdkgAGEGr8vwZbjL43oexPsC5VNfIAVPdJYZA7xxEYsMgzPhwB9SBGDg90KgGXs'
b'358CtEEfvdlTSGIJSoVn1SICICERyWqYwFMFAYhjn1zOLCBAgAIg4ErlsuKTIC5XCRQWyjiO'
b'4yWeAihIQn4bQKkpCABAKFgKAGZmaxbzqTOWBGDp/DCAsrkRvzTBSFpHUQJWMpsjoiAws3W5'
b'c5rZ+m8Mu+l8lmUZigNRb3/3e3/8zb9dnF1GcUqkHRMi/eX+/afHzz/4/nv/7b//hz998umn'
b'n3x+cnaBmghQnAFhAHHOinAURcfPT/f2d+K0ly/mBJRGKaNxNnfOWWsiZCJwzk3OjgXBgbKg'
b'++Odt7/3/tnxwy++/fbg4GC8s81Obe8fMGgRsFk+mbt3v/c+g/z6t7/6xb/+y//wP/2n8c6e'
b'gErjHhHlzg4GA91L/LhRFGmtBz4ljPByvmDSUaRR03B7h9CpOIqHQ5UtVJLoOF6wmy8Ww63t'
b'qD86PT199wc/TJKkN+jHvdSyyy2nSZRngoqItEJ0zkRxglwcD+2Djg4EACmKBEBHkYq0AyFG'
b'Y4wmEpCk3wPHt45uG2MYgLTWOrIWNSAqssxxmlCkiYiFHUMy7DvnHIEIoUJ2TiEyi69QnPvL'
b'rBBdbp48+HZ7vDXuJQ+//CJf5IvF4uJ8Em/l+SLTISe0iuZmCeRL4PIGPMkIGMQ7l0wbGFtN'
b'SVGxesVm1eExIVeXbRWngAXir0SpSGYP5E4pQ0SW1wBUb6l0Empo1OVRQ++2SvamwK0J4tZe'
b'N1Vj11e1exJC8dTaLq6G+atZo9VoXDWwVeailJkzCMUKgI/TQEAtXY36UsnlplElqwdoBAjU'
b'xwe7XqwtVaM+DdEY0216+nO764ocy8P7wcdyRMIrBV6oSHn+achl6H0A8RqraNGFa8DXKcvz'
b'oauOVIPfpC6QkMDI97Wq5gfMG9BcWhYAgNwiJZatNEcoqBuetg6r5N1q/jYLCigo6AfKmWru'
b'n0bEKkpaa64C7mehOk8wfO7JRkrXscIcVhkcOxxXDNLPwufSsYsAgj0SrfPVHJmwL02YJH5y'
b'AVaCxXXLac1o17oZIr9eR9TkZBGnLCD4pIhwH63//85zUZr4NHGujVs1L6HcCNVEK+T1Uj18'
b'VbEzlTwDDTkcUkKYTlkDfOVgetrzghQch7KwVeS2ol0nGH8DTHeMz2NVY9XyVTiwvt0g0WW1'
b'3ZBaQhKCIl9fsHxujJFAlXNwTVANJjQmOtzrhYhxHPvoEuqSNZb3ANT6spzK2mAqpYwxIlyZ'
b'GTVklFJSKkrnWGu9IltYfPYFBrFUEQEEpVT1HAmr7RUiUrTDAFgMwnA4rIZCBL0do6sTNYB8'
b'dRFBKjrrrNOanMlm1jqThTSALEoJCFtjKMujXuLPwWOJoijWOrZ5JuCck8Vi5tiwWCQipPl0'
b'huJsbhKtk17/3mtv3f/iMy0SKbROcsc6GZ2dT/7lFz9/5e6d9979/t1bd3/7u4+/+PpBRAg2'
b'cy4jhTnnqJWxNjN5nPTiOCXLuZ2yc3Eciz/fczbRaT83CxE5PT9Jer3+eCdOR8oCRfHtwVs2'
b'nz8/Pcnn2e5oWxEkkQKK54rm09npdH70ymsG7C9/+cvf/PbX//E//S+EEYgWZNJqtL2T5/nF'
b'dDIcDfM8d0ijvb3ilPN8ATpiQlLKgIBg2u/3traeHZ9sb2+Px8O5ydVofHBwoCjaPjz0yQKC'
b'kAMIKYqVEdZxxAgCfoojQSSly5upvPcGABglETlPck4QkEjHCkQUKABBIgCgSAOABgKAOI4R'
b'kWKdAIAiAOACGjpxpMk6S0SAICgOGDUBs1Iqt3kURU4EBReL2eX5xXtvf/fzT//knPR6gzTp'
b'p2l6cXpGUaxbuXdNafJ5a1Z6Uyi3MtJ6yJXljqslPHO3UiQAqlAkCKHQqeCViUANAz1AuInG'
b'Gh18I6Wmol60rQ2RqTRiZw3BNafE1IQ4vAjBdEGrJcC8DMA1BcsjEbwRXzMBw0ZrI9n6+9pI'
b'Ymlwc/H/K8+lWAQoaPt6Tfxtilx3WzC22Y7XZqVwIq60olo/v1IQNWTO8m2rcQmN2EENZvW2'
b'xowtEnUzURAi0PpVDe3q93q35Epkrpy1GxSPV5auMemufIV47y5XMGZX07hqgtdeXYFwIC78'
b'SfCMUFt2aPmqsVOlSW9dhFoD0nweHsB/DTJYYS4AxML15Q6bIfxTZIVoKwyXuZ0MEBrcHaWo'
b'HFRrOpNFHVmiUckZCUoFLdwktmZSRcRf7FCbBcQiYIGIREggAKxJIWKRLqsjaZxFISJEyp/T'
b'XbgWhABirVVKRFjArQQAWMRZs5ijSqO4J6Sttf4yMmYL7MpK5YADgOM8syKiCEWABSlJxtvb'
b'F+cnEahIkwAaxwjRbD7//Itvnjw++ejDD/7rf/yHu3e//rff/BYlTyNaWOuJ8HI2S3p9Iez1'
b'epezGXl/BzFS2hL1VUxEzuRRFC0W87TfS/s9RkLSOo4GSaQU3nntzfOL0ycPHlxOJ/v7+710'
b'0E/7xuRzzqIofv/DjwZb2z//6c9++v/+l7//h38/ny/6ox56p1er7d0dZk51z8egFSEqQkXe'
b'f+MyXjo3NhkMD++9ksZx0k8GSayT2F/q550u8TkRKgzxULlXGwEACA5GScoAACAASURBVFhc'
b'FYteIQAqz5P1pAACAoyiy4BsEa8tjVgB8CoXAcqEMQAQwJVbjETEASMIIbksj2LtM58JaHJx'
b'aYw5OTt98OgxCxrLw61tHcVn8/kgz3UXk9QYpiLfIgdRWt6ukYDE4Cl8WYcDm7IROKk+LPmw'
b'bfspKkAUcbJ86LkCEBBWItxczQ02DJgiKyhsuszqBIBapERK5pDSp68VasQdu8akqFDsUug0'
b'MbEtagXBNLQOOyKWigOh3BexwREqK8fCrrwITle4EsqVxgSWdjkVt+0Cot+TcGNuQNUF31C1'
b'GWBNIL9j8FcE/fWQ6Ro0fy0DlEsA1wMelI5T8IqGvIyyG37r9+0g1K09BwLYcqh80VYzluxJ'
b'tWE4+vFs3qS7vmxExbX6q/bumua8DKmZILUTWrtsqVUg9ThlJcdCCM0P1zioNTM9NB1CICQC'
b'0BKUCbFqM63qPkArDpuUEEirEenp7Kbc3NJEqzdUGzr/rBVJWB0WKPvOK0TeLhURgABdUKn8'
b'6XvZ3DKETfuw9ud6y7XbYKdWaqmWC5puau15eU7lyqasGm20DUJ91bHWypX04ysoAEQsD7qr'
b'HX/U/lXTdnduHcUiFilbXYQdAiwN+uU4FHLALWtWryodvWT18tRspRTAMtlJKh0amhurg+yc'
b'Q5A4jtI0ZWZnEQStZeecsyIiRCiC5TUy86SXYrm+oZQSx6RQ2N8f4I3IclMXsLDNZ5eg07Tv'
b'iNiKA2ucNc5ZFgvAKAIMWJo9BMpkGVuniKyxhp0AxP2ezpI8m8aEEaJjFiLUg8za7GL+X/7l'
b'F6/cO3r//ff++//wj/fvf2WyOQjaRY5IT54+Gm2NkzQFRL8DkNlvkFCElOgIABVCrHE2v7g1'
b'vtXvp6DVUI+jKEIWBDbObe0c9NLB8dMnjx8+3NraGgwGvSQebe/pJLaGf/Dhj/rx4J//+Z9J'
b'4P0PfqgpJq0QRcQpIgcijFTqHVRKI5KCapeg1toYM9xOR7vbJMDMoIiUQqQihggAgKAIgQWL'
b'VazSqizSisoTKBhLGVKsDxT87w3pQvkLIaBYXtXLhW3oEyiKLwCEqlWyIlGZWMRnk4kIITpn'
b'vTvMxqZxMj2/+OrLb54+fXpw6/D23XvH9GR6eSGAW9u7+0f9x8fPNnIAVii14xSa9XzerLCi'
b'RLHOjeWfKysAtR+whs8BalLU1xdZLvY1VekaaBAoidqH9dIdwAiqhALo6iBoE+cN629YKgFU'
b'mybPEhCO+QZt1SyA1sqB9V+3C2+8UHlRfLgbOMQw7HVNskO1Wh1cLnbtskLzleYgJEQpjgCi'
b'm/OAXqC0Wn7XLmtYptlubUyaQJofXQOf5shf+UkX6TZrrq9Wa71pE69BpkmNtbeh6VATTU3J'
b'0+pC1ODAVUJm85rru3ZT5XpN1Oa3i0QZQZWGXa05LK6BrcvM9aXNI2r/VsoCFQkV7bSQRM3a'
b'bnHCGw5Pa39byaMQU1f7Dy2lWaEyskUEg11G1TiG1NWqSprIBDABsThXTRofhk13jUBXL8Kh'
b'bk6iiHhy8DeR+Ydh6hchABa+YqlQ6k1U9zcz+6wl1lqPRqO9vb0oiYm0cdYH48WnPImIyMnJ'
b'88lkglQkZooIsyMCESoz7paFhAWsNQvKM2uzWEVOQFxusrk4J86icJUW6vusCLL5whhHiTbs'
b'HHPuLIMkvTTLp87ZSOsI2TIwRBBrMTA15pPPP3/27MlHH3z4X/3dT45Pzj/78sHU5GwMGzPa'
b'30etHAgp5ZjRZ7YgEGhB5ZgJ3eTyFICTJIoj5cDvj3PshBRoFeV5FkXJ0dHR/u7W/S8+vbx4'
b'dnT3rlvYON6N4xRYvvvu99i5/+f/+j+1gn/3j/8NaWVsFifaMSda+3B5rL3toVATIrL37hQx'
b's9bKX62sIg3OWWu9DS8iXAXrfExZRNAHMFmBQgAGxw6k3KfjQ/zgjX5YoVWsOF+YkIBQRAjA'
b'+cP7PNMhMBdeKIG/FBxIQAgUgLAohUjIwFTgxxqQFDljnXOTyeTTTz558OABATDCW9//fr8/'
b'/Munn+SMt47uGOGnzzdwANqlG6EPNF3zc4DybJ96jp2PVXvAalU4LkGtWv+4jNuFKSXhp2p5'
b'DAUWay8hYjWWXpEM5e9KWoViC1alsEdt9U+sVnMg2G/QUD/+V0t8rn0ECtTW2QddpfXkB6yP'
b'5zLmgaS68FlTasMSPscy/O+XJEX0X8lQCDWoT92rrserFjSo2IzbGcfyEG7woq5qYKskKCzp'
b'+W9gMPki4KQtXb/AkNa5BOu1fo2QltrXRyK7o7CbYr4a9oMg6nYNaC3w/Uo3gr+D0/+o5D6s'
b'CgeB4vLaJrXj6oQGcmkjR2LZxOq29coaa7X+mxZhrYn1E3cNHm86D2vglJKHAYCFYIN1gA1R'
b'Kg9hZAgEb/i+C/nwzwDDFS+zpim8ril2nSI1Ft1aIj4dk0tVyLu1QpOqRQSa18lLIcIaQFqS'
b'+BtPGnvDZGUICpgC1UqgiJT2CSKi8+9Xzq8sTZwSyVWjv4FiiVVpvxduADSmsqIuCRyecDTE'
b'n4fTLQ1qo7GGH8s9PEtXxArbNgLzaqW6UmmlraVwCBy50v6jUn9jIItJAZImdtbaXq/39ttv'
b'/+gnP97a2hJB64QZ/D1WAIAshPL73//un/7pn5wVijSzc85ppYCtv0UHERlAoQKR4u4IscK5'
b'uJxtDrEjFGZnTOacEXAIAgyMjKUzgyw2N8ZynJAUFOVExCHoOJKcnTMRKlaYGXGMGClhEAsn'
b'54uf/vTnD75++OGPf/TjD9+//+jJ4uJYg8Sk0jSNk2h2cSoa2QAqjUha67lxzrGZT7/9+otI'
b'U57NT589ZdBC6PN1lFLIohSK0nm+UMivvfH6p5/84ePf/+bo6A5nDqOeUhERvfbGqz989u4f'
b'/vCbwWDw7nvvoYrMPEfSxqEnTL9AAoKkPGEXe0iYWUU6N8xsTZlForUWb9QjCrIAiDgUYBDP'
b'fFrQgfPWnRBwcXkf++QWAO8AFucyQrUDpxRBfqMHAIgQIoBwuUWc/FQgiAgD+0lU6HcQsIA4'
b'AGC2zrnc5eKczQ0AWHbMjKCYef/wYLFYnJxfqDjZvXPn72/fevbs+NvHjxaLhU7iF1sBeNFS'
b'cakET0L+KXgm+I3hasCqXqkxWPlnez53WFP8Xk8MhF1w53zD+m+Pk4U11+jXsIMhkKYdDE0v'
b'YtV5uLLclNHTCrkq1TUrEBwSugaBKy0J9KyslF8m7YJzU0XKrefVzdjFproAn+bvpeVaOgAv'
b'iSSWMZ7C+VGB9f+3K235bKELWpauSbxyclvLGn3cvCDseqXh899wqbrQkGCdXHDlwxZJuAEO'
b'NSFTgcKGP9AFZP2rVglWw3kTPJv119hb12jlZepfWVYGodFWyLYb9qijGnVcs8VEJGCRi+QC'
b'BkFvea+e2tcKec0UXzlQoZMJG0/Zap2WJprqDxGVYMU+Pr+isN3LAE0rMbcSf1kNpLChvLO0'
b'DvOlj+ENA6z2WHdZGqv4Bx0N3ZViAAHqIrUszNY7ALXXCtGJOOeIABQiIyrK8zzPc2utjnoA'
b'TmmlANiJnyFE+N73vv+zn/3s7PxSRIr8n8LtYJAieFyMifgAoxEkdpk1GYAjfzqRY2ELjqHI'
b'kQIkItQ+KYjFb6pWkC3XwxGRVOQgdwxaq4iUdpbBOecQQenYOsitfPH1g8zxnXt33/ju2zab'
b'7wwHiUZnsoW4pNc/Pz8XRPEZNEjMBsTls8uTp48Obh3MZrNs+oQBMVakFaEi0lGk2LpIKaUU'
b'owiYV1974/j504ffPLw8nY629uI0SdM0Jvzud9/M5pe//MVPLy7P3v/BB6gVCDKgE1YUVU6m'
b'NwxKv1IAABX5vdcLYwGAABEVKgJEIWRwKCDgSICImBQAWAEUIFCCIMiuJCrFPiecpDgaClgs'
b'LneMcEm5xU50Qo2IxTkbIiJSPBFhtiIOuDi2hL3dK6TjCICttQIuyzLnXBzHWsc589Z43Hvj'
b'O3meHx8fqyTePTzo9fpJHKkknU2mUdKLUn2FA7AR88O6pQBEAVwRIgWHFRfbMmKRr7+qUBkA'
b'CKmScZW1VMgMLA5SrBZbGi037jIscCAAABVYP7B0673UKCSR9+caUaJWmdgloa40hde8DwRc'
b'R43mhoyuEu4mW8XdG6bNRqs/Q1W3xmCtBmd9zYrrlFLOFacO31Rwvas5LNP7oEzNrE4ouvLz'
b'wAFQ17AymzSAVTqpKm8d22gK2wv5eGpHLJVXLvYtrX+sHYZ79ba5WsEy6ZGk/lWNO0KqqFWD'
b'NmJ7UUw2Ka3Q1lhIS02wgUEQ7oncpPVWYwICW2fDvmAZsS5FVvEDuSWfpyaRuiYlrPAyU7CK'
b'ZBnlFClWX68wy0J5vnIbd+PDNnHWjkzdeYO2ednEOK6glSTi3zRO3y//bAW7ZvxX3mILzBry'
b'TV6DqxaaKnO5HeDqhVkYeAK1VkLGaNWS0OAmX3X5OVTkUX7VNhTQPTsFF3AVvi2SoUVEymUK'
b'aei4WsdFhJeYlrKyMNGWMxvqi3AAvUESSgxfo4o3lQ+CAQm8vuIDBM++oJQ/QFQjaq1ni/ls'
b'NtvZ2UnTFK1BVI69Ic9sHYlEUTQajU7PLpy1KtLMbJkVEqjCVCrWxUAUAACLMAEDO2czAlaI'
b'LCxsRZxPkPaEp5BcsM3UuoVXNP56sWL9jgVUDCiWQYQVZNqxCLFABqK1NiwYaZUOvvz2wdPz'
b'03fe+u7eq32XX47Gh8ZB7ogwtThHpZxjFEYFCpTNJoScJkkUJ2CiPM/dIrMkURLrpMcZxHHM'
b'YgHA7+izhna372wP90+fP7t8/mgw6GGvp0ZDHUU//NGPjcBf/vyniNQ7730v0gkDKyLjTKS0'
b'5y9N6ASUIhHBsr+ZczqOkFD5pJEyuZ9RQFARAgAxKEUOwIGQEAIof+JpwUMI1W0gAv78D0FA'
b'J4hA5YG2IsDsEJEKZ7jc4ysC4lfXLKEwszjrnCnXoBCBRMRajk3MbI0xKDydThlQRXHU60dR'
b'NB4Mp4zT+eJiNhtG+nI+T8dbC+emWUaKkiR2wp2nAN2sDq6aWP4rxUOfUlM9Lx2AwmAtZSgi'
b'lqfjoqrqBXzYGVpbvsWuW5x8ghCF9yJVEFvFd00ahnWKi7faMvtbxWUTctM2ekl9vGEJDR1k'
b'2eREytCwqD0JSygupcynJyLnlomSf6VSs9WqM+MqB6BVU9Z6URqB15yFVW3h91SoUp0QopKV'
b'mtdooaNgKWXCKGPd+n9xqNfNFYE2Q+F6AF+0XBu+n/dqmaJJGLJqcEND+DSNwtZWoE2YhJU7'
b'HIn21csmY9Y+rOq8PEnX0AsBbg48qHmFK9U6gGEJO3hVW+1vqw/Dne7hWEm5irg6gO0C84XI'
b'e4VT/M7OMo1EEIuz5Bu+HFw1LE3iDPVmbcpqlVvhdKGNpctX2r4r6CGiBGduMhY6RsqDdyuH'
b'r/ZtDe3ak8oJV4g2d6hLB6BCrzg/xScyAQAQgKBCthaK819q+q4an2o6quOPq38dACIQFgmc'
b'BFDd7gIAfstZJAAsToSEBAFZmFyYN1h0pHBTwDmnNPlM8CiJEdFay37XqVM+Mg/AiNqCBbFK'
b'VBzHIhLFMfij/pUq5RVVc+GDQILF8Q0iTsQhShmEFn9hnA8fAACQEmQGJeDEmSzLmG0VPQMA'
b'FAIgUpGx+SLLk1gPekmWZZIJK6UADTsQyKy1QMPtvYuLkz/8+U+jXn8wGIjS6WCkFQEyEQGR'
b'Z7RYR5rkbGLiOFWk07iHOlZKMZIgMwK6PFapAmGFgBwrLVL0IY7Tozv3psP02dMnk8uLW4Q6'
b'TZOk99GHPxSTf/qn3w/68ZtvvU1Ks4CKI6juBRIHbElFgCgg4pzWWrRCQqW90wREyFxkwany'
b'VlsUBufvmAAUQBbBIpurg0sYBXSxdUiWEthbAlIl7An4PD9VkQeiCAODOOJirweiFmZjjdKA'
b'LGyNQmLrMudSRZPJxdnZxcmTYycSJcnJyckitxTFg63tXpI4YSeyyOZY2/JfIdplWCMiIYms'
b'7gQWqnbxcvAFCTAiAAGS0DI6VTBwYX2pItRTHoeiBJb3JZX52YggSKA0kSbSpZPuKt4Tn/G2'
b'xHOlP4g6lN0lDkU0Qor1uMLPC2x0Blg9TKjMCMQyAlr5AYU/U6Lgz7UpHhWiqgBQU7kS5v0D'
b'eCpcQi7gX3F92bqXQXZ7172PBSF6xi/NYipsC6psdJ+7UqEfWkWtMH0SYc3UrkBFUeScqyWF'
b'Ni3ymq/1oiW0cjDYCSDlDcerl/tWy+vgkfcL01prRGT2d2ltgka4yRj8DXQiUuVlKqUURUQa'
b'SBMq9up+4wSJsJSx//ptnT7wICICrohAiNQNPn96dOmKQ6Xbqlw5KI48azF8RaDtRKCu6Sv+'
b'DBJmJHxbcNPKnwAtKyOI6Hh5nm8pRtvGDdn7Ws1RbVo2y8EXQgBh8Gnl4WnoiKhgGe0Dz+/F'
b'fomlNdbc2l4maYOIeMHntyQVR0qvppRU4UwJTjev4Sll6pRa3hRbjFa11WzFlGwwQlWnMH5k'
b'OSwhPVQPa/KzkPbodZNIaSu3WbpLM06XNCYi3nhuflLCqzN+NQYiK2lsPtRSzn9IpbicpWD0'
b'AJY+dph848FWO20h6JEHE+4CKqQ1snNc7N6jpRhpZYGwm9UYNk6gl/I/UEgsrtqr5gfNoSis'
b'r1tKm60MAamEaEAw+8X4efVVoaeWmbIkK1xW6W5PMywCHatJlVxtKggiAi5iQP5SXPB99scz'
b'FNYqVuQqiMY5AUdECijkF88gSikrTETgz1VRRMovrRaZq1RGtcuTVUD8wlmJGxFx2VMi4oB9'
b'Qpkp4AhYEznnqkASIhpj0jT1CSHCyIUZCIgozikU73v4A/Y884MziGgZRXyKSJENoVAxojAq'
b'Us7lSZKwzwcHEEFCxf7Id0QWJ4jCoJWKoohUkVlEhJZ99J9IEVuLIoQCLEwiIoRaGI0xfWFh'
b'gzqGIv8KhUHAEflz7lHFCVgnToTdfD4DEOvMwsxZrIhfBMDcWSCkmDKTOyNxnGibsY+nMjOA'
b'UhGDABKL/sEHfzfY2X3+5On5PL9161Y/SZUYy1ZEI0AUaWut1vr45GIw3FE6JZUwAkYqor5h'
b'AyazzCg5QExCzrAQK60RiYWNAwE33Nnvj7ceP3z04NHTtN/b2R6Pk/gnH70vbH75bz9XCl9/'
b'67uIGkGYSIDEOcciqEx5GB0q5USAFDvxokMpFAAgYWSFKAhU5PUoESnOSCGQ8JwfKNRHaCyQ'
b'JzblmSiqmLpiEAmIDUoI/phUQGSbO8eKnYg4ayxmTgRYFCSilSxgnhnHmOc5gxjH/SSNEn24'
b'fzDe2nr9O6/HvZ6OIk/VB7dvZbN5nuez2aw9BaipMq82TTYLGIe/Q0WC1ZOi2vKWH///gH5N'
b'q36J2MrvKzFYVWyVFgTwJyQWu7LKh6sukGC4hC2wMnM1CynMzam9Cp9sbvA1gfw1SjEgsjI7'
b'tQqtz1tBtdaszKNyEaA4w7hmad1MfzqwgvJunTWpR80puzkEiEgTEZanBCIWlz/Kja0AeI3i'
b'xYlAIFauRO9myawG8K8zs+tgtrZ+pXxrSiooxVAoNwIBsgK5Bq0SGh5CVT/Ep/odboqoQZNg'
b'y4SszimuGv0BYvVuSoMYrpzxmk3ZfIUYHHS4Af2sqRb2vVnnbyADq9KBJAdhgprfuUylC9yV'
b'FjFSTneRtn4jJaSxqt1WCmlFbPMmatTTCmfNQwUo4Wa86t8urixtgCa0mksDgEgE4I9TLOaI'
b'lpY/ABRH59Sg8TIFk8L5rfWFAFHAH85jjEmSpIDVWIqRxrfoI4Y+Ag/VojcBOF45LDZwbgm9'
b'WjTGSLlJFITK3pRBcUCvRkmEfI4rAIP4y6MQHRGhgKArAAgikiaFxfmU7ANbxVAX7jQjYpT0'
b'yFhCyY3JsozFZtk8NwtmW+4EUIi2mgsrAJkdDoenp6csGMeRZbHWCirjhHR86+jesJ/ee/W1'
b'L/7y2cNvv97b2QWASGlgR6SsyyOlnHOzedbrD6OoB6QBGJUCEoWRCCqQyu/SOgZFSLrao6hU'
b'nFshFb3y+ps7e+ePHz/+9puH40E6HKYffPADQfj1r37JzO987z3DLEJKEWti5kgTgwC7KIqK'
b'M0KC6fPDLeUTbByy3GrmdbFAdQiypzN/5g+XO0D8b09PJMIAqEhYEGCxWMwuLxFFnLNiHQiq'
b'CEihVpFK5pQLgZByAnax6A2GaZrGadrrJWmaAgAjEqJ3sUhrHPQdiLJRqwPQcq1mWzVfM+Cv'
b'toIo5O+SLZVE+VwFmnVpL5bRRBVakIjoIzBlVQWlkQ3ByZ4F5HDEwy60WeFLldki8X3koBwN'
b'v/SxjE2GfSn+FZGV9RNfOUgSWPU6ukasM9/xBvVfqCda32IRYrFIuqoZTsr64s3rKg/SPwy1'
b'lNbaSy5rbRRF0FBXL9c/72ZwE2Z4HBCVV8evASRlnOlGxh/9grX8LXYAN+08kSqzq3Xr4RLJ'
b'azsMTReui9JCU7WzC4EjXVbeAKtVFV+jgVBVt3++Oi9+ynxkr1YHEUNpWbPAKiAKYHmmSmWs'
b'lKVpulUsU2HSanmH3zbHsNZNDpZNukoR8+5425wv5KUFvCJpg1KldawZ7Vb8G682JcgQ281L'
b'K3qh1qjro6oVkVKDtxipV/auq4QyE0qqwO5NFCHflY1ep8WwTqcDtlqn8Um915s4nBUQWr1C'
b'W4pXWFnbEHjCRetSgg10TTvmRVnZW1I1Jy2lDscYAwBEej7PiCCKIvR2VaQREUnCHEtuXiK0'
b'urInAkgS3gdc0pgQkYqiKEq89qlQ4VWDC1H5hNI4jp2gtZZUREgAoLVm56zL/Xx5bkVARrTW'
b'mix3NgeALMuMMSLC4ooT6kkhYr/fn81m2SIXx4v5nK2z1iIX51+t0BsoQhBh51yWZVtbo3mW'
b'zzOj4wQcM7MxZmtrq9frIVKemdffeOvi/Oyrr76KFW1vbxNBFCtEIYHpdMZs41gn/QQR2ZE/'
b'JxSc06gAmHOTG0dOokihIJAjElSKlM6MibUGwSwzo/F2fzB69uzZ/S8/e35+vre79eqrr06n'
b'l3/8+DfbW+Pbd19ZMAuyBSalLbAzeaSVYysMglUscmVFsZykWtA5JPWN7CLwvOl3fZAHCMwC'
b'VDz3/4NqEzsxoRJCIFRaCZFWCRM6AcNOx5FWkYp0TAoIjcun00tmttYmiJVLE6WJ+OQsAB91'
b'RQRrzXVOYKzU8CbfhsobcSmhqkgwIla7nSrFW1UrnkngIlQyrrCx1YrfvMkkrMW3+iXFTmBp'
b'3ePV1MdQjAyG1lVNT2PN62j8qAGvSaD10vnqvnUquVaLzQkTMyNwdWBlcxDWoBGaL8365T5g'
b'Z631i6o19GrA5brR8dqYVzsBQrnfNTJr9Pe1CwFCw/ovxpZkMzvnhUurgbhJv7pIdE399XBe'
b'6FUX5DV8UTwRn+Z7NbSuqQ+tgHCuuli1CbPGxX7GSxVPtWpNNJqCImw6XAroGpY1HV9+W+m1'
b'avttx4pl2Lv1DXWNTxPVJswuZtykrRspTZXfzqqIRQg/eAhtRv+VY9VCvW3KZUPkN2HY9SZ4'
b'VaFrGmpz1+zCmklcGZbu2IHnO5/w7rUwM0OQEOWTMyvKRERSqqYhVk3lIjxX/RZxjRRDLp53'
b'F621c05rff/+/dFocHR0VK0khyreVy5uOWzwTvmci3gnrfA1+AQfEX+522Kx8EPByh+6UCkv'
b'AiFCqqw6Lg9V94vq/X6fEC8vDQAiqiIriUUrEkDn7GKxIMptttCEBopVhmoW0jT1SxAqjk22'
b'yPPcmmzph5QXa/rxZ0IUFFLGGETxh/TY3Fh2sabc8u3bt7XWcRwjoiCNtnff6fV/+9vfTqeP'
b'dne3QSSOtVZ6sVj0+30VJ0TkGICAMJIiXC8A4FCLtY5ZmAEIQRSCBrRW0l7fWpvlWRJFc+MA'
b'YO/W7eHe3sOH3z786otE0+H+rS+++OLnP/3ZT/5eDu++nrNDFVthFIySVIxhEdKR+LxsQmAB'
b'Qp/WT4DLFP/y3xeSVBUBMIh4yN7Q5+J0hPJWUJBy/0qpv4iFlY6VjlkckBKBzFjjxAkj6TTt'
b'J6m1uXPOzedz73ERUZIkvV5P6dhaK0UcUzNzFEV+Hp1zGx0D2uTnVVUntYfln1QznbFm9y+N'
b'fqyeFH2m4jPwMTYEReSdXQAEVKWnxIAg5fVJLRnDQRfChY3yOu6lWSngjyHzewk8WfvfG26H'
b'9drUe/bLLQfgNxeIoLREo5s/Wi2bNfJ6Q92wCaUiBrMgIlJcR6KomLi66bAB2KZex8AQ92F1'
b'7wP4PPs1auMazBaiEf6ucq+ZWXXtDA9uqChrdlbdoBRx91Z7EW7Ajll/vyo3rzhYNu2x4CUX'
b'12zN9QWxvra2Anw1gLqhVVRrvbpL2P/u2soCUF68Ulag4DesRvvqXaj+bRjuJMHeuOCTWo9a'
b'QLXJTMQiRFqzCdaYUFf6G7UKrYOMDb+lbKLoIwRL22HlJnqbW/+b17k+/a8I/ZcL/pSFGuE8'
b'DErw5/JVDcL6DpYicR0OiCiNI7aqz5strqqD+p71NRp8Dc7FgRaBodPNeisx9TVgV+iqA1Y4'
b'yKX1XIxy9SrcPyPFni63WYiIq6mtBmeJ1SoOzUKo/RHyZ2dnIu727dvQRgC+IWvzViDl3odQ'
b'VgH4+7CkujEFiTCKImuXB0dWurdC2L8VRidCkVJKofd8BPr9AQpeXl4Wpg4jEomwMcYBpz0Z'
b'pEkURecmt3Px59EWSxZe34FoBGF27PI8F8fgGFh8dLkkLUIfunciAERijHFOkFQcx86JyxaL'
b'xQJR3b179/j49OjoSJCcgLWWdPLjv/t358fH33791fRytrU9un379vlkmg6Gh4eH460d4xjI'
b'L7yjY0YhQfa39lprmdktb09AQg3Ifa01+dUSLpNq8J3d/bfeevvzP/7+8Vf3B4PR+cXlL3/5'
b'6/9u787W3l4OpCgCAJPng8GYuTg/nwRa/0UuLggXKnNVsF2xoFheGAAAIABJREFUNvm9oqsw'
b'7adKBALFglilBi0ThLQCAM6zZDBwzs2nM2Y2Ls+ddQJI5ADYX+5gTZbni8UijjUAzOfz09PT'
b'KIp6/eF8Pu/3+2ma+oDP7PLSv51OpzdwD0Crtmu+IiK/UQZqHL563OfyW6pEACIqIo3V7rqq'
b'ppSZHuyXtvxqAFWn+lT/FkNdpvi3IRyq8wCNjstZWxW2iL+bWVYftqjSLoXXanit0b5rLObV'
b'CutgtjXqh6gMrpTbf8uyLkYSgq32Adc0qH+rtdZa+0Os/O8wKf+lbeKurtWfd40hlMsF/hbh'
b'GzmrVEQARXhFK0sjGPbXLlX3cYOkmjU0GbJS8/eVoNaM/JWl1ZS/drkSk5B0q5522WHQ4K/a'
b'b/+trO6tDAewVbyErXdhvsZ5q03NSosb+2OhZdls6EVnZL2sa7beUvmmGcfPR0VdoUUYzl2h'
b'moIPi0/wBnfytOAmq+Hk2isohrTF8av5AE2dcpVGWIdV1eKV9ICIAOhtgeUgB22HffTzK1Je'
b'fxagWtwbEHyFREAExq05jumKwzRW11/D+hWC1cbfOI7972Int2rh3BBJRPTnoYuIP18/yA0E'
b'KJ0rP32ECKgUQZIk3uBedhMAsRxzoYhUlufOuSRJ/Kna5cH2heImXKYPiV9JQAQBk+WL+ZRd'
b'7PKsylsu/im8AImiiIjYFMU5v227OAKUoTibRpw4YWFRCIBqkZleT6dpf5FnZIiZh8Ph1tbO'
b'n//859tHdx0DEekoERFUamdvf39356uvvvry/uez2ezRowcfffRjHUWM/oQ8QlAIgKQRkRGc'
b'WFIUx4mICBexOSuskUARADhEqNiUKFaRONMfjD/46O9euXP3kz/94eKTT05OTv7zf/6//8f/'
b'+D/3RuPMmCTuAYAAsQhF2lOPQoRye0axQ7T8vVqKIze4+18/olTu6A0hqHaYxfgrBEYgIkEa'
b'DAaD3nAyuRCRPM8zkxtnHQgITWaLyWQymy2ybN4fDiJFQGo2m52cnBhjxls7JycnALC3t7e/'
b'vx9F0ccff5xlWZZlAKDXa4u2J6tcV1eCVPY0rCMkSD5kX8lQf06Jn6YCSpUEwgFw9MckYbkC'
b'4C9TAvB3dooClCJEgQJYbEvwCwWr/xXn8eDyBuIwXQ/Zby/25rsCkOougi6TpaZQgzmtRLAX'
b'cA4RETwfuurbmti9QWsmhH+ND6sfSKTKgmVSBAS6cE0TXqCE2wBqPjEi+jVBY4qgQldGfuvD'
b'F+pRrWkplyCaeUfNbysH4No+QM1+Wu6LQAZEkeW1HyTdgfqXK0t6K/Dwh9d4avSnDVjElaBc'
b'k4TWP2ml5NbhXQEiCFCcsLb+OoRlZKyIorc0sZ7sa5ZTK26qiCwIAigojxxui9a3AlkDuaI6'
b'Ke856vokbEKC4v8ME9hw1SIMP689r01T9Wdr3n8onSp+6VQTvARRbiJs73tt/LtgtreyAV2V'
b'/dhUVhTbIDviO6vNLZ8XWklEoH1YGD2ZFnq9dY5aUO/w8VYnbp28DZFvRawLjQ25BoJxCJ4s'
b'/Y1WtNtwKBvt9pNDkhORMi6+lN7hCoACRBYGkTDnfmXPTjsmtUHDVQ9BRGBpSxbFr1T7LCA/'
b'birIia+V8GDTshUorYKWgsWJw05ERBgURTqx1mZZlue5YwEgQfRQGUTYzmYzZhiNtnQS+8wi'
b'JMXMSkXGOAZMeqmHVrhPziJSrKNk0Bv00iiKTLZwRmEUIRCTVQoZlFLKWfv/sfeuv7IkSZ7Q'
b'z8wjMs/jVt3qqq7uGXokhFag1X5YiREIWPiMhj8ZCT6C0PIRJCSQVrsaNNRMT9fjPs49JzPc'
b'jA/m7mH+iMg8555b04vwKuXNE+nhbu5ubm5mbo8pBADH4/EQDrIs8zyrHk+PTzzNJBpUQNOi'
b'CxgUWCZA4qQza3xaIpZ4f/dGon769PTP/tnvP378+OOPP5pt0vuHBztPP757Fx8//uMff3h4'
b'ePg//vf/7e7+5q/+6j/4+z/+8D/96/95PtxwmEOYwnw8HA7zfJzneZqm2/u7EMIUDsw8WewQ'
b'JSUE4ukw25k+HQ9EdIpi6keGRIIyvv3Lv/zPvvuNTvP/8r/+67//h//nf/gf//v/6l/9N9//'
b'xV88nR5CCGcBT0EKh9ZgC7a2cBKHlDY/rTnDJhmpgMckguwYIhWAQ1REEDgs5/NiMQXBBDye'
b'zufz+ePD48cPH87nJ8jyCBDRsiw84eHhQZV++vFHUV2W5f7+HsCHDx9E5O72drLUSBeZxc9k'
b'v/onRFQb/tsRS/nYm1KCsCLZK6dwflTq+AQfeY4vfRIxsuuAqtnYlexIAKD+SRMFaHs49mXr'
b'xL2yXFyFX6WkBHVGiShz/yPGV5pDvS+eiSnBQD1lDyHM82yJrM0KaIuneZVibRrpMUbqIkNf'
b'mL/XyFcgxuIDUI2KqGooLcXGrDmBXrdssQWlqGpRnrx4sLsH/5hX3uQsO5ai5yCfW/xZvlWh'
b'Zwuah/57g0Kl2T6qVeFX/JNmRJ7tboZZXvRutWU3lVKeN400k9zUaYDv56F05AEeMp1ElSL1'
b'FWnal6AJpVykOY3Fimqy3IUbo/0xYJNTC62k9+WoXAGywav9d9WFmVrp8L7W/BJVGfYCknIL'
b'mp+sx2ghtiKiiV/WZhP1+Gz6xf2u016uH7K2IRGGuJ2JhpoVNRHZZ6o86rlw6k38gLHQCGj6'
b'NT2c5+ObN29Op9Pt7T2zWSKwFHigCro53v63/93fmJZKVYn5fF4Oh4MIzMUu65siEUlcJmJl'
b'Ig5K8/HmjpkfHx8lniFLIMTziaawROHpcLi5fXx8VDlNRMx8f3+vqsS6nM7MiFFtfCKLKqlG'
b'VYIsZlwtImA6zodF4rIsf/jDH06L/PVf/7WInE6nT4+Py7K8e/8xLqfzh/dhmu/u3/wX/+q/'
b'niZ++81XRPQf/yf//LwIMy+qcVEzaTMt4cePH4mILImm2SbwxMzGP0zTxFNgZgSepjDPM0Mm'
b'DueJA5HIcjwc/qN//i9u3r6dpum0nJ8eH+PpdJjnJSoCLyIhL1SzRp56+4cJLQHoVZ9N0Q2x'
b'v+CbLd7ELKrKNM1HUZqUiCeNy0Q0z/MUDvIWh3mOMcbTk2VuPp/P8/HWmjoej8ebGyL69OnT'
b'6XT67rvvzufzYZ5FZOo7vqYMqUxTQVe6ExBM92Ublckcx4m4DuuZfgSIpnXXIYDAUyCaku7f'
b'cieZ/gbXanwYsODFyBGsrc9ky8VQRAKpEsRstdnkrMt0k2D531TXqOqanf0NvhQZWFpyvC8I'
b'7vBGW7921aR7kt7tGbJEzmrRLDAH5iXGEAJIh6zwkI1Ir4fg4+6XZbVXpmlSPZxOJyMNFs2g'
b'MQT6/GMy7aXab2lfAMicFoUwH4/hfD6L4IrcwYNSJqcEFyt0uYdwO13dCzvVWiE7PH5QVq3/'
b'JWvoy985IId7sSOOVEl9mkPQSIqGXSmYJTFS1OLnADzHo1gpjhkJtZxRzf7keNbNoyXcNtTi'
b'rlcz+hWclhVSq+elhYZrMRm48Fh2sUYuHnypT0Qi0QsMZchlAr160a7a+qH5MQ7JzlZcUdSo'
b'UiZB1vymliMz5zbxnY6mv1+UZ507Q7xVVe6IYQ61d3mj5rmtGF809NkyANWlsKfkEHJdqQKw'
b'fXfNNpPsV3CItB6ZVRWq/tKyIINfU3Uq9oJaDR7209ggiQdJ3MakjtSLRDeTY1HTz6pqLFsp'
b'AUaiKhYZvQyqyM+BSNxylPH6i+VpmkSEgShpW61dOwTWzJuqoBAKrl05G5V9MyJy4vc8z8fj'
b'MYQgOYKFXUqUOdciybj59pPDzJZ8lyStrKgmPRGxQXt//9XhcP766695nqKIiEYoIbNtE/g4'
b'3725R4U/JiSUc0QAmPGzNUpEClIKzuYCpJFT/BsoSMCWRYXJ8tQmJGFLaUJCCEl15T6JlTRf'
b'KjKZ3Tw8CQID+Oqbb6wGgKDCUEAoJ0NAOnNYgHxmMpCs8C2GrO2xHDEyoVMRoqy7CGX151bK'
b'wvPt7+++//1f5e6gBBFm4piDPfR0ZutAIaLeQXSLrKVJyPlP/PMx5cnbFRktQ5jD3Xy8u+97'
b'+f63v82vRN8UANV2V/7u++/L9/YGoN/D/eCbJ1uz01QwIsTMZI4jjp5W7dT7nCj5AGDDFv+Z'
b'xcLo+k1ujSqAYqVDZLmBB6x28yRNl0u+g073hlFW4BcXP9vDQ7GnWfu9E61RgJRQ6IURLk92'
b'8xvPs1IhZwgkLilYOYrsHsDCqy3LUrgi5MO1wZNnde2ZGxMACkhNg/WSDZryMH9GqfReuUEp'
b'Psevhih1GZ7N+/Wfy5/ZF1M72bvlpC/sKWodnp9PzRztMB7U549oH+wGkr7a9evebJmCVxVN'
b'26jsIcmvt/S5YrXdw9LdENQt9O6fDHlB1AfVhXY2OJ7hK69IG19caMT4Oq4lPWxPK63mxL1b'
b'7e6t5dBaaLy+7FOqpuZWtWeRsi2eftjaEA/7Fijf4RO1DTZ/NoFBUc+A75f8MunaWqYta1rl'
b'wmaoqlkFmyKwrFcm+Al4v+lMKfDtt98ej3MhWf0Y1xe9csGQIwqJMjt/ZPdKCIEUgSY7E8mk'
b'DhEVUV1fKCS0meGYvnhg0pnOisCkYsnwYjGAZghDI1IoiKTjoWDRbyyPa+6lkLUFQN4ckYiE'
b'BBGIklYhRRVaVRuq6SbHfDaByAoxh3UiznpHg11S9EWtbebzMBXI5tSs2TF3xQMCEJgt6XGa'
b'AlUhikAAReiUo0eSqQAglG3Xd46bUblMUatfuaXefmgemcufBUmoSxHTvz56Xm2ThnpUTsDN'
b'Hh5A7+6nri9kTDwYTGA2f47EXLLt1dUzOH2hbIVCBGXKHsEAiEIO6LMf+aQtAgDCREBYh5di'
b'WdsBYEKGwVFcZ8Y44Z8kTViqvTdBPn/wNbxefwxvVehp6I5Qt9OaK/ZMiCqRqSI6WTPcg+G/'
b'cM6bWLooFYhSuhMisvC05/PZHno4XnBMNgBXmsuR9X/zZ7MbSyTmz5cBNJfPaeT64s/CrQqq'
b'SmQJIFf9CrbQT12DNRLbIpoCjJktOWUFSTKLTftdUkIZysdte5j5kmy1pWVDfWUDjdwrW9Sh'
b'6bFtx3Xh8bDnPCR3REQlMJzbP63yEom+jGWALBolrkJVpY7O1BkVV434ORlS/H3spVqQaJ77'
b'mDBpL6xD3CwXN8v11MlKA2H6vPLlS4UKl1Y2e1bf+AvDHnMa6YgVrGuWnOdSDNpQBFAn6akq'
b'dckByk/DxndY832BAc8ZyFbN+pRvpd+6mhBBxL5TYbV3iKen6k2bnDKiV7FBG56pPxEYqlCF'
b'QGOZAStfffXVNKVk4eYS4Nss30WEU1yaPNJyA0zVFrNPFZnn+fx0UtX5MN/f3//www/2IjND'
b'jUslFF0mTQDgMt6w9rnhrQ+wYk1IAgQ/E5J+QDmyKRBRVHNDLee70YG0dpyj4Ksm63YKYY2P'
b'SVRq5tftSxq62hNSNK44ZoadpK/yUMtv7CoLRAmWbpmy+C2AWd04OpsFJICVz6sTmbFsQnQG'
b'AOUdlrJH1OdSHnUuBu1p4kku1psID826r/29Pvm92SNzJXI0e2dqajeEww/YH3vDn4Yl7xcu'
b'12QlBjZtCAAAqOh9EciyrBMRMX2ugQS3CmxN3sBGZaBKCIA6T4BwZdCbBPk2H+lI9gXXSdQs'
b'9UUZYOv51lLuvIV1yZQ4Ry0QyWqFsot0JvLUdLA3MvzNDUDPZBCRBRwwymh5Scz94HMYbnWl'
b'Coww4v4LSEVO8KPwB8+XkAHsSuxz2ry+XI9avs7OqAcHZ1aJlbdqX/AqDQK50rzVN54ebsBA'
b'jjeVXSfA4cCHE+Jhax5aS81APDAN/DtPavjb46Gp33Pnw9nYGqYvDf/XfJb2y2ip5i/VeWeW'
b'Rl7AjvfjenG5Bqu3Sk+cCemCtMcBG3u1FjUYl2js+n27zmAdPdu69e7+DOxLCFeWZ4kE+91R'
b'VlL0hyCcYhc1Wg4acTQE3TYJSosTrho648fV2Gc27VhIHDM0EhHe0A1RVnAAyUyOjDYSiSym'
b'S2dJbCtLcsASwtPT08QBwLIsx+Px6enp06dPR7qFhYx3rIlmc7cqGGVmtfv5UYJGIVpNJYko'
b'h0lEgTNNDlRVOTCD2DeXQylSNgJMU0SJkZYsWng040LoWqY56+9TPmYGxNnVVIFhYHJ4AaSO'
b'yl8+kePqaFJsJWuONWMUg7LAQQgJIxIhGwsAxcDSz2df7WLpiT8yqHB7SvPdU7+QGcPH7ffM'
b'1WhPrd8HNwDk4kY122/Yyk4hIqLAFDLLxcxTsvL3uX57ZAUTKMf+WrUFnnk3g7VeVdJkD+1+'
b'No6//C3uoVhkIQZZbgFFhGiHEM+wgSnkJn13UA3hbI6fz6TR7TIluTvpjbCNjkRkKUaM8TWj'
b'DiVApoZzvQYG47k1G+GQK1YFWXljooKJASEEc+vBS3nuhvsvXWzVHE6Ff+I31dXw+NsqwG11'
b'1dhcwf06xZzeiEiVoVpHMvaTY4Pdxfb6SsvRLxc3iWRZltPptCxLPEk5FJmnaZrCzLbK5K75'
b'qLTMLYks7Cbpur6FSpTj1pcdJulKgr7DzFX+KkQKBBRFV2sbUBop/5aHdc1NY7MiSxtIZQg7'
b'RGNIRrbGPmQNjSomnyvjYmSTgyTnBPyybbtTrqQ8zW6tYNtowIZTbAZWyDcUHH7a2wkXbU6M'
b'MttCIIJyulRVunA7twVqQnhjtCoTmheGKnar2e73enQV89Gs73DCm+/9NOrIkqr8WqwHKesR'
b'UO0j8t9Rc/+2DdWJqYYAgSi6LnZ674cjunx8eH8+/9aUU8uyQLXPZK+qAIvkDVXFTiwgiWcP'
b'rKTzLgoRTeGoxP/ub//vT0+n27sbAEgREwOQmZbg9r6uUd28bbrQ6gYwhQOvSo1VkrQr92Jw'
b'm+aKSVSZKICC+QcwmdeT1ffPjTIE5hI5za84O0pevikwTXP5qxYzyoqlTcIKQJRXFTDrGrPf'
b'ALUI/d63oRwGxL5ZEDU7xW4RZEvFXKGZKy4Z+vgEabAibFiLeR8kuP1Y7S/XIHXyg6bTZK/f'
b'vkzDntx4NrVQ5XvPSjaVnc6VmTkLAJVtd39odTNO/W55jeLuBJRBQsRQ96SNELBZyGn3m0FR'
b'x9ZvHZ9N5a0nn1m2pj3/anYyKQiQSI5nzBQ2ctNs9VK6KI5ZWpt6e84jdyfn89lkALO2bGq+'
b'eLzlEr/nGovZOjlxZWtEn1+aO6XXZZL2C38GHjWMbMsmeh1wkvUkxvj49PDx48eHh4dPnz49'
b'PZyKE/bhcHNzc7h7c393d3d/fz/PMy55WbDa3eig0x4eX66c4eHW82Rq0GbP4tQv+maprVyN'
b'1/1KDRlpaEsPTGm/Jz5w67U5iu2p2GKPttppwL74oof/cyo8t4xXpBusqqbIE7WsZXxrr4gr'
b'zfoJWV/Jvfk13B/a1uGb+aLNV/abHXIbF6sNn289uaaoKmr9n2vHZjI95JIFqDs9/XFGnVQ8'
b'BJuIGBRdUDi/cM3aeSJg1XLKGtk66O3FJSu8Cp6Y3wNEVWMAWeYvTgkCIASzgw2gaZo+ffr0'
b'7bff/s3f/M3xeBSNADICMYBkk0cSi8CjxSq+zl5KJjatus6Q6NI6P95ZvIzIrH8AhJyWCUgy'
b'gIgY918eJmfxuEpo/hNeBHIL59102YuvvI6UjB8jNUgK0w+gMG/VyiqXOku0OP2EWgbI9cuQ'
b'Te8UtnhMf7r559JomzZKeUvimJ+8TADrmuzmNqFcFgDGZ+JG+1eFAS2FXuIDwCYWEpESLLMD'
b'yqYtcmFRtGhN40YNXtPr9j2Af91czlcdbaHPBSaTCGuObcdErKpJrCpSrO4aytVTsYbBqluu'
b'duYXKVqJzkRJAAA0Oqzd4ofaxmo+oHDextmXdpq3rFP7YtWs62w4tFa7nimxylu6WFw3pZoV'
b'ultG2NeU0aRJSdL+0la9J8wANtU9EkWvJFTbQV5YHFU9n8+PD58eHh5+effTu3fv3r17tyxL'
b'ilSNwMzTNM3zfPfx/s1Xd8v5mzdv3hwPt+XCB6hkaQBBUzp236mny7X+iKh2LrxmhnvuHzWi'
b'Dr5UeGVhACqxYWUsWIkA5cJSaKYMrtkVfMNYcdESPUjotphVKLZqzez1UoR/7hv3fcWkD78w'
b'byvfQ/kIcj4D++UFBM1NYL7yb3lIV8EBOWzKmINiIN5Q2vKO5xQT4jm9ctPLWqe8TlAueW0v'
b'D/BinaZ+wah+NS9Sy2vq7EP1macSOWGmQcL8ZOBj1nDtO8AQVQbWWzB4HqtHnnKOMLNqFFmY'
b'OYTAdlSZJl7ZKw190LkGQh/Mtxn78XiU86KqFhf7u+++CyEQQ1Ul8fqw+wMFwuSmS9wNQOlr'
b'7VaEQAhKTCoMEClpYpKycRETkYkKIZvJqGoAWQSfqFouAVjBZr2jKpRC+UzOBl19+JOQIvl4'
b'0FBtXAkIsDtGtQxNnM82WesrZVOfCh+qRU+nEQnkNrgbg5T9SUu4cxj7pwyQgEHC20LjuFyt'
b'xt16vk8QUlK2jJtCaTbSQaAMlJuBVKEUTuraZp5X/TZ6HwCM5GZfp3suSYraSIlcDkNmVkpR'
b'gApDhr6XGp5EDsD5eigdt5/BMF1ZBovUHydfkB1/7ZLI6LZFRzrCmQoFoey/S1nZab8qFU+j'
b'iz2u6GSk0whirW9QVS2JXYw1bGq+eJ49D9ccGFpriZqa/eTUjNr16Fcm3A4GKo6jdbUXRRi9'
b'2G9OdVfGbqqRnSlVvZRBJ5cypZq7MCugZTmdTqcPHz789Kcff/zxx19++eXjx48xxnmeb29v'
b'b+5u53AQqCwxqvz888+n0yme5PS0vH2r9/f32fHDGnSsFY+JrYXSK8CX56x7tkDNkYyany7f'
b'M/Xa9HEfUDAidPkBkLeAxFaEdu1rmVUH22DDkmPlPTANZ9+A5AdVfvXVPNuaPmsnZnRxEv27'
b'QHVJnVvexKUXsLmvWG2rNIRdoJqOUspK17ybVNkyotpbPApXktvsd7eqmu/mxY3frNFO/a2f'
b'tvb7Z56kw2YbZPN9te/WrwzBS0J1LQCUsLnoWli/MIBV4rJGLHATKuvBRNhZMptZKNrGkJ+e'
b'nt69+/DVV/c3NzfmA9DErfafpsAiS3JIkphOVYiSFoU+kWQNOhBj5KxWt7B4zBxl8TCYdkPJ'
b'BVUAUrxaJbBlnLJOq0lSSTafkm4KkjNxGoJm4d0i0HNaSlENxOIbStKyGeynWZ+INC+NzWCZ'
b'GUkT62cSqRqJoUI0wUkNIkrB8aiKq5JsTqm8VoQnIIcoyOBQSEmfhJRVNSX5UgASSMVCl6oo'
b'IUUyzefjRRpSKmxtnp789s/Lk10Op+qB84ImLarmAeWaUh0B+4OAqk69PpvcJYIn/QPQqNIe'
b'Ea385bpdmTjMIAJxYIYScQCyvs60ZWkjGCX1Q4KqglMYciF4H/Yt1eW+SlM6QaWqn6cuHbHu'
b'qqkp+57BmScyT4ZomE9mdY1sm0iizSvUwrN1VF8qw5jldsWxxsYta2Q2vsRgZhWLEAw2Y75y'
b'ECqRpBublZPehshzJwWLTKXh0wKYKSE6TWTI7gdlCO4w2J+KNkJUbtatO1mMY6iscbKvOVZj'
b'jHYJsHOJMSxqwcJF1aK8rSVAU0IMsiwRz+ZeBjnaUM9/06bkDW5X0bUNsSQFk7s3sH1NWRuU'
b'g8UqEUUTzxgkSgSNMcbT46dPHz9+/OGHH3784z9++PDw4eGBebq7/+r3v//Lt2/fTsfDzOEU'
b'l+Xp8Wk5Pz4+Pj4+vvvwMaoQUZjo5uZmCge71yYhULq6VVW7cVXOHLMIqem8Y1kLO1ztUCrk'
b'sqwCWmq2xhWwNgVQILhUA+kS3DrtmJ6Qr6oo61+TzJzDvZXeVCFiNqw5ngWDiENWeiCdtYuF'
b'xBPRGCPlKDKaYvQlUA0P/d4hgqQQSc2uQbePUL+4onHRc9soQq1W05LJzs2YZibGxlDOMxtX'
b'djtqcTRCU1iSuvT3BpnIEHnCpdYna46rrSur51OwpdwbWInGWIYPKZKb+hmDkXAFQJMSaTKG'
b'tBpQYUTNoa7y1jDZjI2/Kr1wppckSqLMZNqYaAPL6q3CJGkmBYlPVbAtMAWklPa0bsldlYQ/'
b'zbdOk/45EZmhwQhh0r7wGNh06om5712FAGELDsOcxixiumcbbHDonTcl4MxUOrzNYWoUzBPl'
b'jJPMzAEiCxHM8w0AIcBnsSzt1LvDa+j9GCUCJB8/fnzz5o1NUEF4IlJEUA4JphpjXOIp+e1E'
b'CcdZRChwCCHGM6AiisCWC8X23URMUCJz9aH5eBM1zkxknnt5uaBkEdsQPIVjBUhVSJkrp9g0'
b'FFiamXxPmylPurhLiJXMs5FY/KIpS23YRVZI7CZMrMmSPyiLwZlvquRAz0wRldNuaJ+uMN1/'
b'i1rrn1u3i6Xr5NKjROvUiSRek5NnQZoDMcMhIhVc1m4S5dDdG/xhrrbyHmrSlpNmSx3F5rGf'
b'zLT8IwuZM9r4qjr1Nwx9m1ze3fBBvJKtybUle10Pmwpgqdx588a7tn1lXIrp8UXK1p3GP1Gh'
b'bmmfWdoISMMGk8MGzPDJKqQlU6bstxGehyGuR2OnvHafuRISfOXysGFTnlUy/ZLSuyLn4dIL'
b'caW0ls5fBIDNeQCS4zuwolaS+jTrQF6r0H402heWC+gnUXQ5n8/v3//yxz/+8R/+4e8f3j+c'
b'TgtR+PrtN3/4w3/4m99+d3t7a9gV5WyewU9PTw8PH5anx2WRh4eH27tjtq/dDMfWCJbrQ79M'
b'ilqwqV7vuZNS+uX2qFeeaK3gbBDV+hm2X7/SaYlME5ifcL74TDtRVF04XT8VPYo2x8PW2vl2'
b'tLCfl8pn06LPamo4q/tr/TJokwkE5cRDJh4LKQEqdimgPoxEDcnO6jt4KiG14pawhgwsCIgR'
b'ncS63HvDuX4S+vZRoX0lI231VQCrIAxMiigsYhbyYvoQbFxLDk8E1Jjv1DHjcB2uEVZdyP2U'
b'n2LpLyhqjwIrIQQgzPNsZIpdmpokqtVqrGTymgMSK0k3pFJYAAAgAElEQVTgw3mJjcSlpEyT'
b'UvTmQAIqbuKlC3vFbHd2mc9qdL2zbErllYmQrxMs1Gb1FoSUlZSN7ba7WSVNVkT2PSVbJWVT'
b'qqvp3ssnWClCSjveml9G6gCz3KK8SfpPXzSzxZz9BMrwc2nwgSvFBIkxB+XZVpQh+2TD7V22'
b'tKc/BIgK6fpfuudQKLX/7Suzh/vluYTuiwchyUei5+JM15J+BWydNdszuXgp6cd/ymL7evTL'
b'ptW1lXWH2xbukdsu2Eieu2ZftHgKmwuSTmvEpu+0M2TUzMRfXUQgOIfgntxf32Mul8U2FRLJ'
b'ZMsxduPKlyJd4DlMzIr/+Vz5Qqv/3GYv1Pch3929o4XKsitbVV2W5enh0/uff/npH//08d37'
b'GBXA/f397373u9/+/ndvvnprJv7MdlecogPd3N4+fHz/8P7d09PT46fTzc0yTRM8LqykkCsf'
b'GzeZDbyUDQwaZr1M+9aKNxzEWq2u3yOnx+Su+vqWOKe3nlOkfIGgxWslVneq5bPuegWq9DVc'
b'0FY55FDRt3+xna1mr8e6fDufwCgvXu+kruvKlNcH0o7mK5HLDW4DX6ZIRJjSTFEU5ew/Sq1u'
b'peFWX7bNq4mtsaX5bIhJj97Dpe/LzvOGPqPGwyEv0m9PESFSURWoh7ZnpJqzoHmyLIvLzOAN'
b'9lLXyY5jQwuAbkM1XTfcf6lgkc3sFDMY7PvMs1/lIgwQQgiBmEWWGGPOgZQ2OEeJiY80OAew'
b'pqGlCyXDBLOGZGQpwO+apGTO/8Ouj2CX+LCw+2R+vZTMeAgg05db9lxCAK3PIURMiSEVAmed'
b'tTBYIAxj6UkgALM5D6+f5J8E104AIefr9Vl717E4IWH46csqruTWbDmcmMQFg5OpTCIbPojq'
b'Gq6IshmVJURLQlH+VI3XMCUJC72Q7+YtzR7UhKzm+er6sFVqx5UxAP1L7nsrAGwdqLswXAhH'
b'QFm+98TiSpbOXCRTucLu/Ncp1zN817e21ebn9DWc5P2ZL/Y5upF1qKHLO7Bt9V7sAvOZqg1D'
b'cz201xdrx4/rmuBCw3N0eNRdD4N/RVWT9PsF5Fw7BZ/7ynN7IQYUFvfzdDq9f//LL7/88uHD'
b'h2VZiOYwz199/fab7357d//VNB+JaJrmeZ4niwoAOZ1Od3d3749HQJ4+PZxOp/P5fDwebbny'
b'WeZlgBEMHRfiGabPL4YnfnKG/FDN0I/5rQFb441SatpIRJSccJiIICtT0pgoULZ5qJwLr1D8'
b'P5fXf13S9+X6Hdan1aTxKhi8BWiylxMVXiAMFRURiKomt7y6gYIeDVOIbtqHwDdf8luVgqbH'
b'JcApibvboVcvLyDXqspsOa0Y2dFLVbFxE+v5b+/gnmzrXYxBIpK8iarXbfSX5sDPGPK89WIV'
b'EU3TdHNzE0Io/gP2a/bal2JHF0Usqg9E7NBj5r/927/9x5/e/ef/5e9Sm6I5+v4aQaE/DWvR'
b'jogoKlGNdWsiQqeoWT8LufEKC6JV/FAtrWNVJ+Q8WfnTeE5Odlli0TnNaJEVQmtN+0wZ2Lrn'
b'ueXEcDd40+jvtz77VzhlEb588vnlXucwN5VQrvRFbe/PSA7l2xcTG8q8IZulq39inwDaiMKv'
b'UTxBGGcC3i2rhyjQnnPP7X70xMXkoXA1VL9SaUizDmSSlyFGalNVL+QxuLqpZ1UjSveJzYsm'
b'v5K5BGl5Mu7iSnljpdcusIZ5OyGTUc/WvBICmK1pLGfJRe4f6yprw/c37z5HoB00+EUxPCPU'
b'sKRskvUT5PAIwDYeUrJd0kK6Y4yn0+nh4eHTw8P5dLIj7TDPX3/99ddff31zc0MciHg+3h6P'
b'x5DdP27v4ul0N00cl9PP5+XpfDqfzyIyc07qS5r8D8jgW5mqQsHb5aA88k4z7fGqjBTYozO2'
b'YvaqkX3rzZ6Ts370YLTnSvnTsRfsMgfn3WW24bFgfoQ4p0XbLHvXUP2p1mDaDhr7Cv0rO0/W'
b'11dlTf53NKlX7pct3NuPvDeaHKpgemahpHL1cpdoFEgMOS9CqjngyDfB679UnRL1Iq+tvW9c'
b'67BOVza+U2r02Ho+6NHDs/UnMstuUV4oK2UAUNgTANAN2WfeRdnXWHcmnHoFjZhdT04/BIwU'
b'PYV0zPN8c3PDzBbIf8pRBIm0pLspQzO3MVVMU7DMNn/3d3/3wx9//Jf/6dPWroS5aRWsNXgy'
b'+ACyb5v9XIXO1HrXKMHpgARJBz7WtTWDXRulZooIna9Olh3WETQNbiHMFhSb1k1u84+931Bt'
b'9JpWaI+QqslPwj/vPZT8i9mJrrEYagHtH9EY6tTmRhkbejXyj6Z7hoEPVVctAwKgEQB0Ww+9'
b'V3YV80Ns0+dEGskSPH8BJelVpczJVYfWJY3aC2b4mldq2J43U759zmU1rMwsFytpR46Hf+50'
b'odl/q/jCirNsNrJbZABsiOnPKp6gW+/cZQLef93z657dfMlmATAKpfJFZYAvUWo8jwBEl3g6'
b'n0+nZVkAzNMEmo7H493d3fHmjgILKPAUQghhBsAUEJgQJsJxubt7c//hw7vz00NcxldPTRki'
b'Rs/R7r8+ZC+ueb3psQGmh6IXAJB3qUenUr2AkeKiZm91VbXAoE1mSvvinDLbG4Dyp//SCwzN'
b'EXAlhjfVKqi65RjyWxfLTrWeUXvZrtxpJE/vIrpQnJSgIhBRTh55IRPJrXPN48nFrl8AcHO0'
b'vxifmzaH7Xz+KFIcBaPGZPYplYAx7Mvvr3metY4nsdLkZgj5lX2oG9LR9LsyfzmnpBmDiYhQ'
b'2pj9Riai0+lk3y0IMlgfHx/N9LHem0Tm4DGCsl8I27f2nddGAKe4sS9igQqy6gRECk1mJ2aD'
b'vlqcW2yHYn/u7NR7+3QlkAoIq5U/pNitKykJI9ReAEpqXgCU30AyZqLsSXDNZ5aMh4dEnxW4'
b'n8whAqSJdcxTYabNuChCLdHYSt+GDe2Wpk3vBTEc75VuHteU4cDXRGCv0wFxcTZdeXcAaReF'
b'ZpulWC32JB9Fqpqy/FqznKfnz69cNXvJ1j/6w3XrxYsNvjqnWChjaTlUfAy9rnWKJ45ZDa/l'
b'KqBcCPh7gAbO68uI9Z+u5xH9u55Y94fisxalb/C5AtuvWVKWDI3IeoVEkqjSq0EUUc7n89PT'
b'kywRojyFaT6UuP6qai7kSixKzIwwwdzBhVRScJ/UmBcACk9VWwGRKwA0n3zFNlSZhDA5bWWz'
b'TG6jCVZPy7HpCNXt+KYKS11yTawSZhdIgFP4algeKXsfRCUxooiocPpRNXv+0oo2mgxO7Mxs'
b'ePrSUUkYjFqF4b94GcDjZD05FVEqZ1Wja+xLP43Xs/6l5ZbvuXqjDBvXrCcb9DhST5bC+Q5G'
b'RMiS/6iQRmgEj28zhsRhn/jsw9BUa2bmehJ0ZS9N0U51+uKaNo0xRk7AKBGRKLsEvQ3AhYA3'
b's9pYk6LG57SxasTugbnyYSmmyC8EDfWUFloBt9zGrlvC4GmazC6o/FagXcebvglxioHkeClN'
b'JuiJ0xdJr1Qw80qoUyQdSY1bYyTQQCwkdiGjyibJCAmBBRKII6J9stUEp19J2Ng8YkAErPlT'
b'jam1sPoKJbbvnC7SSMAERLWsvaAU3VFT/M3soEyixU25Ypeh2aF6XOzX/TqlNGiq7tM3qP6z'
b'xY3raVKqbjmHbUXKJ9CKBFkwUFzlGZVqXNL9r8XAbmdpePjtdnxtPPhrqvW08tX53Vcpz4LK'
b's7D9r9qRp19h1FvtkzPLgdPWF5DSt+cLY6XB5gkRmR+VXQhoSSGbrSdfdryV9v1wykDKnF9s'
b'tsCT5Qce3h7st1POgDJ8P73XtPCrlWsGslXKXCEzwYcphECqCrLnqoQY47IsIqKCGCOY1LyH'
b'n55Op5MPcUNEPXVVdXjo1rpBsJ5Bf0Hpkb95uPO8Lw08W3UaaDtZcZNOWtnKP9C85dsvvawy'
b'xkuF253K13D/V/bl4Xxu2Wf4egBKXyQKVUpqiiSQ9W+9SjSvrXloyMXOmm5N0ctWc2darm+t'
b'NOXBNophd4bXdw1gWRZ/PKHD5GeApO1O3yoJE1KE3+jhoToKUKGE57ho1giEEJZlub29PR6P'
b'qJZvhbwhDnkGqgU1HAtkcY43QF39XS0emapjbU0YiCOtlh9sqeMz1/R69xKbv572It2g6FbK'
b'c99F02l/UJYwQXAa8f7hprK8cdDPn331YQPqRDKnFJHulX6SRtNGqyLDf/rihnMl95/b9lqn'
b'0SflT8pQTX4N/EYqqKm1/izX5zIt6tN0O2gqlO3UFcl6fsX/EkrWPN42M3186aIjm2nqboSz'
b'nXFtmEQCGSsaGWs4IXLqt2ZmfI/Dh8187peuGgHQtGytZiXByUw5FEn6ThxCMOch6hTzvpch'
b'zB7gDbJeEfFCx4saWNdL3ss+IUaXcyMrSzQE+OI50b++z0AMf+pHXdbR7pGJvyBuE2366KcK'
b'jrbJRoA/A9jbO/vjCoASIlISN1UtFrpEdDqdzk+nebp9eno63kwxnokoTHReTgDkvHx6fP/4'
b'+Hg6nU6nE2Q9L9EjTB09eIhv6OZ5a3WGp37uVwsBMxwQXfwrpXFiVUQLkVU4EgB5qtzOIiKi'
b'ckz6dsp4LZVnyYAhIsxBRFKKT1W7KxcRkJr7tZ+H8qJ/qCNvfk+ZeyrkB1K8LSkHR/dd9NPr'
b'R9fcQjR1mhX0s+prVrOdCehwua/YzdQp+NaB9EOAGSdIYunsYRShkHJ6NANpQJI6UcMKRFc5'
b'Y1o3OY4wNqNGPdX9OY5uk/YQbhOuKm+6P63yAU2mmqbRkVRq+iGn6VKNMcVggFF1GI0d2NE1'
b'2FXQSXPiSCS0JxGx0GEikXNcUWYWqOb83CtsI0az/BmIwWHJsaqbuWJSjWIkjoiMsRPREpKo'
b'vGLezTFqjDoxVHVZlmmejsfjzc3N8XiMMSoxM1sKFLsDMXis60OYmMPpfCbMgVg1ZiKcjCIs'
b'uQSyj1C1Cpp+y7nrJFGghJNmf6VQJRW70wrGHVh0IVVINMcGFQGECJTuYiW9RUoo0XZUU30u'
b'UX2YKP2/MtwaALJ44spKwgDlBOLNpwFjX1sMNwbUfTJRBn59nitrdXWc7xYKgmnmYPtY86lT'
b'Bbs9leczb5VElMR8ncunIkLVsl6ZZzIR6UbIbyKCWm7BdvN6trqhrm7FrbJF5JAVQrVw5+nu'
b'JIAEtnZiKeGmCoJR2XreVtj2BPDb72LZ6O5X4v5LUW29OxoU3Hit96p85XJxOV5Q05eeY0gZ'
b'fDub463WLx0t+fW6WskE7FmQUrm81/SyVRq25nPK6zUyBj4xBET5mPz83qqys1Kf2ex6wBsX'
b'S9M0TXY/TkSyxBOdKPCnh48f3/0yH254muNyUlkgylCiwMyn0+P58enjh3c///TTpw8f79/c'
b'zIeSWbPKr7nFR3qOasQ+VunkLg7Ka+P8T0Wz7sHw/Zaa/eKqKzyFplrF4HbGAxmqhCSqrTzZ'
b'jPcijRpOoOfVeu6tabNnN5s/t7rznV6AcCQD7Bebpf32LxPwDEA/5KqGPG/OX1BU9foQXkMA'
b'hmjfE94rS4+ufrZ7Rhk1EV4r9BPrHvRr7Y184JammfZCRT0A/hD3h0v1SlcK49XPgNuSMUaC'
b'pcDtVBL+T7up8HGuv/nmG55vAFRRzvJwASGiYLnMoojEaZpIIpgtUD0RYGLAqg5RattxByu8'
b'jlk5pFdQIvmQ7ffo7N8jA0oagIhok0pEQCQQa14mRVYZGZNuX9SjBIrpETOVwyj7tdqhSKVy'
b'nj47UHJGMcucmqqVI8HHODLtKnfP86CT8JOgSk0BgQnm3aBq8Sy6TbHy/XnLUwLT5xU1a0wl'
b'qLpPMbUYiCBiFoMIBARl6TviFF4YmhIww8Iy6VKJQPYLQVUmJgBRxUyeAkEsPBmtQYSymVZS'
b'LiRxi0lTJml6Rh6A/rS4WHqehojy7YGNCsgIynn4AAgB5m8BpOwer09jn11yXgJL6gSs/0DT'
b'nkyO3uTww+0WWPzcaziy/UN3WP95rGpOUrzVdREDKJm+ZDiezxBv0dmmTmGV+tfL7qVLnD1R'
b'yIj6XDC/SBmCOuCZ/kzABXAJ2UZ0gIkkhGDxMY7H4+PjY4xRdFmW5fT48MvPP4XD8c1Xb0kh'
b'PC2iGs+WDWBZzo+fPrx79/Mvv/wUl9PN4e3t7a1dIFBWfXA5YzJ4BsYa1aJGy7zjGDDPuk7c'
b'2uDdAYi5zeWWCt1hrF3YoVf1K0pOinMd+VWutMUegPUJK0Eh3lJfABCvTMmzeDgi31QlYDQL'
b'6uv0jZTvmUoDWM2OV7bMsXNmWXE92fZdNxGodrb8azHfzZSu6N3hSQZGUBP5/fa3ZKQhG+pZ'
b'2IsCRj85F+vvQno5pIevqbpa7zSyaM0xJ6yzzVUQXmtFT1HcVkx81345oRp8VhfjwTPmPUG7'
b'5hQrR5J9Z9Cz4pBYF8mWlaMdoBOF77///vu/ONjVoHFHPrt2NFY7mmygzPz+3bt/83/9n4c5'
b'pOiZTETBEm2BpIC00hPHRzmzHEtcK7JEZ4vQzk8/LTwKz6qaBImhWNVPQvNu9esGM3QNLdp/'
b'bq6oqqqs3iPAnIM1Cth8EjS5C4vCCZw7LRMRctozVbUsASnVWUBxe7aIqCnrAdTOiBItoLSW'
b'DH5kbPNSzNMaYKjkVFUhzfn1VBiri3afwIzN00NWaAdOwOQsQ/xGHc77TiEn3PeH9N5bBYzr'
b'Nuorlv1hJmBGVWxwWivPyk/POqr3e9/nzLbYmmt69wX13jYBoDEk2IdnH4Ca/4Bvp+KH2vqt'
b'Mc/1o3stRuHFJeFHp9/15dcHkjr5vDkJtiAqBCjjPDNPYT4eD7fH49Huc2SJkU9Pn+iXn/6k'
b'IFV98+brw/FIoCgRKsuyPD4+/Okf/+GHH/7u04f3X391d39/b65ydbhhX9r499fjwzU1E87X'
b'Fa0Tz2T4GQBA3IYBydyDb4GJSDdxex0UKhFiHaDujsIfmT0iFZ5pf+w9VAUlhu9SLWDsNN53'
b'8SXKy9rf1ymgVk9w0iOO5+SicmfYkdtuLb/7spP3IlkeVmjmoQf14kQNIWnwSqi6lMy/XoWZ'
b'w2Oi9CIqlnWLmS3J7Yvn0IM97H1Vim0XyqaECU5WEZmmoBwEEJGJSKXE/O2XXqYQdDn/u3/7'
b'b5LJTaF4TDm3sCCn1fPrHoiHqBgCoYrMk2L1mNtpoMmeCyIjmLghZjSFKjoNE/kIP8jZfTWi'
b'fGcE+3QRgVAYblJYVBggCTPlU0kKJD6akCCWmz6tYweV7838S3YvblyK7XsARSgrR0RWu34x'
b'QYsF0Y9OS+rQ3Be7xS3djZBAoCmGEEgssWMT/weN+iMzXWCS2DLPRFQcplecZMtT0op2pS8z'
b'fGocrJUpa9ou7ZAXs1B2hjXhgNI4y/1KvkFSTSo30/3/OZQqEYODySWMq+hCCm+cbIFieV5P'
b'nmRpYZPB2orCvsN2exTZabMHu7w15KgKsVNVOJt4z3DsdLoF5M6T8rADpmVK+rJ1sF0D25cr'
b'Wgd5KLFW1wn/YoIu1XK4XMWuXchyDazKXgKZTSgFPhwOb968eXz6+vHx8Xw+n05P8igxLObj'
b'ez49nb797v7rt/N8BJGKfPz48f37X/70D3//7v0vb+5uv/3226/fvkkCACdPFTcSBRCh1rNS'
b'jx7Xzcbou6shIJHsXjdGV1M0eo1gEg/W7VM+yx6x1RZQ32xbmTWNUkVBmu5AAUoqrWb17CiK'
b'I+7/4ncv539+qTRbdYxs1ZSCtCrUQnXVYeTp8GdA+6ziVzZxrI659Iu+VXaYUf/TcJku4nle'
b'+urPprUrG9kCfufoubI075bxajbC3gKJrpYzdTXxTzS1SOb+vf3jo+yIra2RkWH8k4Aln/6a'
b'Hdg0myMSIcqZ+JgAq96WMsAQglnozPMcY1Q5s65K4ua9WCnUFMBEPErsY0xiNE1wQLBPZdVF'
b'EWBPCkNcWGTPMibWM4qy2rtWv7xbPv0T+4/LTUSJXppuW6tfPGxNmwYJiSpTYegj1Mbb+8sK'
b'VXpwo5VKSUDKAkkSeIyxBzK0rt+Zg4UB9dGKfEjQ7bKOi7LjuIck4Uy2tmg2LCFoZhPWJplI'
b'14toAItKySrTFEZ1H1AEsEUBfo4J0ItlgKYR+8fk8+FBiEu6rj+3MpwZYwiGFHxrEq+f4b7m'
b'cxnxrbKqK2o1p90AvGz5nwvSxUPrn5yh/8xizrIhhDU8ix1RX6zHcnjvYM7+rBIlk4/UVM4M'
b'l+BXDiHgeLh7c/92ebuczjHGdz8vp9NJl2hxr5dl+fTp093PP8/zHKGn0+nh/YePHz9KXO7u'
b'bv7iL3/32++/vbm5oeR0W8Fmx61qMYJc8fN1qUTfcn/YUy7Ni14AKGyHG0KrvFwn1lX2qXw5'
b'pQFOtbXuzrOeuEQ9ttSZW382rW19v1i2+KctbvhZgv2rlIstl9XBqs9qXxF3QXRNjz3SZn3Q'
b'ppCQQNg4Mcuf158gpd/9Ch7C4fO+qWZ9PVSFyiUWaJvDLo971EVmzfvhxyUqm/8tVLHjR3EN'
b'7vW7wHpMm5TM8G9LXZVesRhHMcYwEbN5D4ezaJSz+ZITm0KjYsZEhIAAJcj56fHx4SNhISLV'
b'qGawooTsO2evsKLo0VWIHKO66tfr0RXIU1hSO4bc2pXsy6V+Q9/s10K1Gl+pMgn5udQcEVNK'
b'a8iF+VYk+LOOfr0ZIB6EgkWNeHAKghwYuhNIMktuFpZFgCHWvkeYGDBSmJa1agSYvDpCFOxO'
b'xEanGov70Oj4GBQRM1UKdq8iiACb6LXoAmUOgHLUBUIcYPPW3KgQay1EJfFGWadh9x4JmrMq'
b'/3mFLkHH9Eirl/t2+sOuFL5KN/kahSi53PU/aRezpVi+ksKcodUiGqfQ5rFpx3xWhu37c33/'
b'7NwE+4qy0wjVxT/01YaCzTUgjeqPW/AHqt/qV47xz6c0B1g/vV+oUBZBm+WmfPHUP9/3O+zr'
b'm5Y3WZ0yBYR5nu/uv7LQMYHw/v370+kUFznHx6enpw8fPvB0CCGAU8DZOUzffvP173//+++/'
b'/+7+9i5klXRuHygX3FpxPxcxkC8RqS1c8gSqrBRTpaHssZqyAFB+LSvsQbWYJzRi3yldFLgc'
b'fPm2AfW0Wx279G42cn9K7dCTdvUdolrvJS9HqbOTo8139FwaNeaJTdjbRskiEF48jy6WfhoT'
b'/clPqpVCdi6hVTS9yHmX+UStWi7ft7h/h1QXqN8LjgZPZrcqP1f6arh/OKwwvNJtKtSAUWas'
b'AWNLGlEta/G8g6nppeUpx1zQZmvuYYzxHEIgyqFmRCKgNVdg/BIAFWIOFKKFwmamaZqON4fz'
b'0wMhcOJaycQbMbUCF5gBC+zD4MC1AGCcCXv9gv0Do3ghlCcmmNnqqCUQM9W1MUU2S/lPEMHF'
b'bfNn3Dq6dUpa5olgISkLbtuZBWEiZkKGnGCsOStUk6dE6bH4ewy14AFMSkpMmnyBOWUqUAaD'
b'CUIhfVcRTdYbZP8p8lUSNcSWUncEhhKo+lQBcYDa8hAxqUDBdBjfdA2lGlIwM5kOnwkCQs7t'
b'LDEQQBYYTZTADKhFFKTkQGzJtBJDLYGQXS40qTFUN28AthF664XNg6HJTb3v9T8uWlj/L1Ry'
b'iJsaFmpNd37V0hz8/vlzKXLbbKH7LuyjfYaKPV0Dcfpl0u21flHxEvOqSlm3d018X7XrX6EU'
b'kXVVwNi958oKmJJCewR8aY+KZH6mDESAizVaKVtYtI9dDUNZYYUqU5iPt3cAM8/zfDgcbm5+'
b'/PDhw8PDw2mJy7JIXE7LaZ7neZ6Px8NXX719++btb37zm2+++frm5maapnCYYdEwae0xJZ1S'
b'AKaf8cd8rrMB7VCVsL99qOLgV2Ss+PgN5Cx/Zo2Xer4nc4xrtYqtrB/aE9sb9YjW+s041JXm'
b'FQ/8kMVcWd4RW9bzW59DglILL8X1fZZxR+C5FrBeUmISWuecAeJJ9Fywa41gsaFKa6bO/elV'
b'G7VIpq34QRuXhA3+96u//9z/2Z/I+29pjglTqFn/evOEdU28Z62MxjTucevXjPTJCdh8AIhS'
b'jMw8CvYeRCVFMICYzXWGgy0Pxag1UjJgppUN3SqBOMYossQYZwTTDxIRSwr6qwDlh6rKzDFG'
b'hoQQKDDiAmCeZyJiWs2kVAMAAfszgwBizkx/QpmGADZRrfsxFkJls8EcymNf09NA/6SOTdn2'
b'2xfOMRcomaNbYPppUSEyG/EUEY4IKTKQanA9egLbmwCx8e2CJj+wqlokUGZWUtYAQImmibLp'
b'lEFiQeSIuw1SuqMkDTGy8kgByq7uIpndCogiXJsSxRTLdb3JaSbW4Dc3YzWJxGRAgCwThApA'
b'M0+qsIgReSlDRgoQMTjfs+gqMQJ7JkCDhXSb3LJRUu7Cpowk2zqrhawW5RKpCQwKNlfSSdVY'
b'8zhobiz/WgUYfV3Ws74Ry0G0MyRcPi4242IOaPXD+qcJaFETz2cStg2zRO9u7cB6HVjxFl83'
b'ZBWMAgDIMejNKUtExr4nbGNk/QCCcqAcfSxG5ACgqioiyyIxxhBKJl0RWQz4ZhPCbRLWaj6S'
b'w7sFeHI1icku0YtCQvO+YtakF0DC7764+eESHmFYs6s/KClCVn0Sb83nRsuldzZV9xSCyBIY'
b'lkUIqkRBBGEKFCwhhqpqAH8efpcTjvPWjFAQmVojNrwgErIlVhWAGSnW02OBhEsVwMUxKH4A'
b'gDJZdDMN8/FIIYRwPNy+efPm/fv3Dw8PludrWZYwT4fD4ebm5v7+/ubm5quvvzkcbqbDgZnB'
b'bAHvJRNcCzWBorVAToJrlJ2JmMFUHHVIlCQxYUKi0GndXGspZ23B2/I8AKbm8nybiFjUi3I6'
b'+nbc0Rh9FSKymFT5jCSAODF2FVNIRD4Mrj9TLYWm2QPwNKlqSqOWttt6AFuqoaiLvVpodbWW'
b'jnqsRGakfva6/547LDyfb79kIejRLL1u67jiDLAaz+QQ/52ZYb/jtKBEmrwt3hoe+CFITbUB'
b'/KITT6KakC0PU8T8BRd10dKo6LZzm/2auklju351pS4AACAASURBVBxWTXrV0rtq4v49fkZV'
b'Zhcz0TFVIpIn/zK77CdhOCENMe+nEQ5bWFOMPrPYcLUGIZKMX7PFNjsPtcC4qnFZLwfY9pHx'
b'DSFYIJ11hjN4ZrUyTZOdRMwcFRrF9osqi6hSmiW341Y/KGZ+UhEXzCrxkcyWnj73Fcwj0/Wv'
b'0AgBMSunBRWBgKMSiVhSXCaiMCcF7hREQ0AwbGGelvPJ1pCMTMcYQqEyHGMMTEw0TdM8z8wc'
b'GACljDiAqk48dTdyyY3VG9Xk6KKhWOD47V9GRRawv5apJEkSa/rLnoD4VS4ZYErLcDk0/E/W'
b'/hQOIqKOc7CrtcmZGBWoUuYyTtKjD5lvX5haRIVhUkjuybaDPemjLGfkjSlFB1rqFDY9P8+X'
b'tAOBI927JCMmReBQMHbioEysSspsv5pIogoPBkmZDogyh2RKRMTZlKgYF0VEM1IyZiNpIvJF'
b'S8rcguT0nO5AiDRn7XyGD4BfvPSpAMk+0YETQm0WSraFnlir85X8tcsra7VzqxvWrvm5riEH'
b'd1/3T/yf+hylcb83ql/TZyg5TZB4mjUYKBFZ4kYRQcoMUN0SNOeo3yC29MzJ7UazIwsJCGx3'
b'AAx1zjoEEslxsEx20XaHp41d3Io0S6d1yURQezekQfFzXnj6FB8A3nnoohZTNNoGj4oootDI'
b'tIaFzn0VxeHnX3OtMsAqw6f8UZ/hx7/BQ/eVQwiWZIWZ5/l4c3Nz/+br5fy0LMuyLDHapfY8'
b'HabjfJwOc5gO03SgkFzBiCwuW0Wgc9uJ+w+Z58t0OuvPCrRd2WJ0Lox69H1YrYKnU6r5n9Kv'
b'VL3YNOU3EcNOg8GBXXrpCWkPYc/KN796SrXf4M5k9p9b7SSeqTuw9+v3Q9thZ7dQ9GKzHhLK'
b'B7+YQyETCxFS8PC9F+t13Oj9GZNMietrRRSPch4A384WMm+dL83nkNUbveXrjMdlsVoKS+Df'
b'XefNBXvoTYB6/PQzkBsJBBCxZtV+sqzLvWYGaDGRmJmXvBYicj6fi4el1czcIdScSt3xQUmo'
b'aSM62EjNn78mBcGOvpCHWS5njf+xhU5AEph5Ph6YJ2LrN8VdVbNYDxX/kAO7BzdFRYNOWTao'
b'V8TRE2/pnqNMtqoK/2LTVC83rl5M9XYo343bkK7lnPqT4A5FFbHkbvm5o5PG2jv4GxKHLoRg'
b'W8Fi9ThSXapxG+wkKT1t5koL3us63SmkxUhfxK74TBefVyV1ATc/bq7sSguw9VYPABAEIK0Z'
b'SFng6Gq58BGRouezebOfXiIAPLeYIgVIu3z1//7/QknEa+d8Smtpj5R9aCBsE0rfiNf6DOxi'
b'X3SV7mGrlPQilpfPbw9mYtUQgqh+/Pjxp59+ijFOxwNSAPR1bzREwUdPtwogUdUSTyBCS0Cu'
b'Os4AJrKcxIF5sm2fvP7Zt0kENqUSQIAwEXTVNySqjQhVkJCqhWDyly1USwxUE5EsrEZNkb9Z'
b'gGAk3i1fRfXKZAKmwWVARS0kNIBGAFCo7e3PlkFl4/vnloaVcZiT0LEcITF5HTCzgnmapvl4'
b'ozEprUUEJEwTBTACmJgnCqbhUIEyEdPqdlaXa/1/+pPpBeNtGG505tcjtmPvTyvDzVrOYMo+'
b'9yVySDlBG3j8Ey2fRBCGamXqoCuoPSfXz9WVszfktp878019dTrshrPfank4rmH7fZ0r5eGy'
b'muWLum2/VXkLjGH7PeW8WL/AvzU519TBrph0zfz49l+iXSgMfXKEXbmZiqJydY+3tb+ICEyJ'
b'17U/NWuyMxOvmvQLiUPSFC3eFKLI9945+fYKYf0nlWhDmYtzsBXGsFsFAKQWNViK4bE6PFKt'
b'bDWJiJhvb29DCCEQNK7Bl+tbxGZaehkpfekWqcG9cvzZw6mrjMRQtu2kwilCmn/FA+M5GRPS'
b'oBo6kgu3L4oxZdbNr2I5amjtW9jcfUKV6qT8WqwYQukWDqQCf25qEAKWiDwf0V96BJClrF6d'
b'05xtS+qCBKBVdiBoqKyFy7QUgW391Y5iPgCoNGg8MlRTDYoQwmcLAMXGZ+v3XSLygjPjz7OU'
b'JUnojqCZ0U9Ep2Demi34GQPfIdPXtzB44posXwuhxLoJxRzJz0t8/8u75Rz/dPunw+FQfHFy'
b'WK31U4U4IOTQWpTNJZkJJN6rnTRdaQFiyaHyJ4cQDoebwFMIIYTAPFHgaZrAHBCUKbsNGBYp'
b'QEZAVbVEEhARVo1RkiVgNi60uOxERBSKjgL+SFMVkbPYLX8kQFSnEEAsIDDly9hKgdHM86Kq'
b'iKKIcZF4XpYTEXm1TT4wWMB7l0EvKs9Fm/36mUpe3u9EhDBBVBGZWWkOdiYKlTgGrBxtSUqS'
b'aa42ETaUTPBamo4V6BmFK8fYUfnqlSIANJ0OPwcEt7ARnZtajzlVF05/5qH2h2VhQFzAwbFq'
b'vD7/Vn1qU2EHDS6ix9avfWVUmodB+/33/cPi+tPkWZuixajCN1wCZvi8QHg9DCtF2m1wB0P2'
b'2yfH6OzU6eu3QFYM2U47FeIZZ55wvoa/2Y8N8Wl2WeakVzLuX1fVwlun5woyf/q4NmjbM4QQ'
b'nTl1P17J6SC2KEYplV2cXQWkwPorLSURhNaJlpmTJivwzfGWphCY7DyDEwDqiW2/9w81tm+V'
b'Ot6RtzAtDVRbjbsBrwJA81bDxab0r6hWsLRcgCEnAFhVpYrlbChDqd8P0P4qQ3PvhtKUvd0M'
b'vCMs/vKn0suU+s3NjI1U2QLc5Y1cCwAAiJNQWoq5eZTGNV93NEQbWQAoM7/WJ/HDWSEEAZiu'
b'J5rtcEAv0DKq7pmsFOrw70MZcgkwa47mlC0VCP1Pz518izJk30VRScO+Ti5thjlf2r1EQODi'
b'ZGlX3uvWYiXSp6dPD4+fAJi7EhILEsiMshlMgQNBiRgB63PD4RBCSRFCylEXjVBEC1tGCBzA'
b'NHGAMf3mG3qYbw6HwzRN02E+HG7CNE2h+PCs2vQyDyKiKqrINvdxWezCF8UWMISZiIgDFb+x'
b'+mzWKDHGKEuMZxGBaMrnFyaG2YXa7LBd6G2RXVWBaoxnjRLlnA2sXKSX6tB6Di78mRU75GCI'
b'RMr2pyilqHZKoKgCmK6DAS0hccqRgOs4ubLonlLXv77aoGyRMFpiD0P5bM6Pqr5zwvNDaA4S'
b'mPFPS+VJVZUgyGcIEVmGjprOFNpSzvJmUOXUbGyIdxjBfYbVv3iRmywzUB11tD5/QRke1Q1z'
b'sAPVPrSo6XZzivUwNzPQI+d+X7nOoNngHFc8W7DVpldVDsdITuSruaXBiFCjOgBmQlm7VMHG'
b'vjc6ydycZkV6AsD3SABBonjepYDhyTV1DHpTmYgsVZ+YDijz0Oo4+Gma4iJLPMcYi09F5rcy'
b'Rz6aijQixww1Oy51FPw5ZS4KUryG1NExRz1MqlELjqxMTMw5/RN1uN2XZrEAgA9w+8LTn/VP'
b'cfDb0dY16HtvmZwyzNROMrJat4M3gFzN3cvyi29hXeV88e4ntnyGMDdP0hjZZPUcTw6JQU7N'
b'Wp0187tyTZ+HW9hTFXZI2IcKbd5lIkXk+mF+fd2nwRvr6ro0Ba8KYAP/KMNYWndHqV/2GkRL'
b'bKPXMwHS9k7Ew0Tdyr3a+fxPV4bnSt4aSmTpwPxdvLoKg8AsO6UhOhVpuxrIccvUXuFozl1C'
b'RCGEaZqISM9RGQehJ9XltCwSJw6qGkIISgQlIUBIlZkCEVGAiPG6ZsLGRtHiWZXI4tsq0s2r'
b'CBHJooGiCANRAxMLHxAfH+kwg4IGMo4REqGUHId48kK+za1I1HLni6jJitSIfhRZjKqZtxEA'
b'MPujx1iieF5Ejf8/RzmLLGlrmaUgM8cJdgtBAmEi8z5lsghciWxqjFFlUdUYzxJj9pw2x6Co'
b'Gi3w0jUr9Rllw3m6PvtrHN7k4frjtinlZFVH1U0joqRB55LDS1Ur8XXkwrVTdviVffC2Wtvr'
b'yAkATb/+z3L++UPCSnZGbIFpVn99kco5W36tOrV/tsY1XNDmdc0mRqiVQ69Cny/iybC8+JWC'
b'xsMKrzKcdc49W1A37Oew73cLjAvPa+wC0GPXlUMYooGnAFtz9ay+thaRgahCWvmXE7XIr87c'
b'rp/AhjQVgFWV2G7XKxa8f4WIyF3EpQMocUbZ23ikWq5OfDfYnhMgZwKUYwc5rpdW2yQirgDz'
b'G9MeIszHg2moGCQpG4Cq7glsfvb89BYLoqbHmlzksYx9atul8ctdUUgnAHiSWLJfEZHGlRZJ'
b'MijwAUKqfv1wOkxetfh+LUx4A+CdPKsl0zZKRDNpzXOPWjrS9DeV/StEpDlCSYOTbf4E1exM'
b'XMlmVe8j7r9UtvqNJVKqsEYBepEA0CzMc0vyU07OE73Y4JreFiq+RHnW2bNFmKKLjI56X2HV'
b'kTjfgKrP1crZv+hzatYTv94GDO2wiAaR3VPU9o0V1Ox0r6qsINFAhBCS53tQDvPMYVE5hImo'
b'cg+13c7MIRCzmdMxMyayfIGIUGAmNv4bzEn2Lp5ewZyQFcp0CBMHPs5TmObDxFPgiUMAsYIU'
b'EIKFRajPAPMbEBELFqNqUWKiMosgMEQU4ABlpmRyzlTS8tqJrqoEJRVIJI0k0TK2wK7YVAKI'
b'SRkWcSYzscbBQn0cBmJRSIyRIIgLZLFTiniy3SgiTEpkV3W/hk/OC4pmvZX92RJHNYqZDphV'
b'qWzZbFNKX5skZMUF5cjSK13mATVwnSRtDcYwpDpknmDPGt1+aTgAf5arKpEiZw4wtgHJHUWJ'
b'KMm+hYsvj/KI/HmPQqA1JT1gZtWQDkeoWipQdVfAo6sDdUJdM3v90K55fg1h7JdDa6nyYrEI'
b'342di5/8jaakr1wAGH5/UamZnrTQYzivblOegaicFesjzaubnHb2Ghyo+bxKntROBmjZ1m4a'
b'tVjVqH8ozVupi0apTEn/wqpw0RSIWmF7CHABxuDN71GZIl9NVZPQkVTqqUIAxdJIjqzFzIq4'
b'nNeMDaURIiMvWUncab79uOxLCGtgbVX1iOSYs/X0dqyaFEbLbr9DIDZHNqa0VVyYjZ4h6Z+r'
b'Kk2hzIBHj4nczZK/mNM2o3BwRibNWhCRBtUcYdOjU0OmVNUcVbO/hjEeazIyVMjmbsudL+8I'
b'/6vh10goTYX8SiUAlHG50aUXTZnZjGhr2puZyZWrjrTGH60ZfTOdVq1mo3wvf8qGA2qG3U9d'
b'irGW1yXiBQJA31mDCjsvfobU8O9BKTjRjDSt2XYCnf1y8YSmLDL2da7tIseiUtWZzdqeLfia'
b'BW8BwDypaghhZp44LhIDzxYMQTWSUERE1AiwChACzKhHVCmHbjdpJJZQPkZtJ2IA5/NZC4ed'
b'eWqjIxMzMye/Wws7Lcozl5xK3qwiFxcslSIQlmUxykOUvOktpSInH2Ij9ynknGpUFUVkyKIx'
b'eQDblgt26WdpmITVTFliCk0Ji2BvATdFVWCvJ2X/6ogGgERVRDmqBCUKCrC8ptBLssVg9BRz'
b's40NrN4qnjZlqUE8VWVmuLAYfSxO1JQdG1sgl0uhnDo2oh/axUJExXa/O1nHdsCJ5taXyOQM'
b'CXwjjj9IQrvvxR8hTUfqRuob6eEZDr95PlyCYRmeAujUYz0Yvv7wJ/+wmQSqJ7O0tAPnfrly'
b'vA6MgG5FhhN7kS3w/Q5/XbnVrp1Sf+XYNlxfLs7w8PnWF3WCwQ6aNZWbX5kZkBS+/BJs1KWi'
b'w65cN0QeTUoWBgga/UM7lAOBQ4iZ+1SSuMQSMLdU7rtIwdXyc7/ulMSAQNPEFBRs0bbTUBzU'
b'dhLapJaldLPHRJimQ5hmS+2FsKYsoBKKfkSCmqlI+zGHG4ZDVKoFCWYGicSUbyvU7VtNH6UH'
b'ebnJ+FFE1jWGuF8s/0qKVJPjtIqIiSFEORBIRdaij73TD7DBBMlZutrhV6FRAY9CWTfvp6W0'
b'lzMlh2ZKh8DQRsLEhM8p/EmsMvLSFBFTbMQc25ByNCTNRhn+AqfE+hxRxXVOCjxqKt08OrNA'
b'u0oA8OPsUW2HujX4kZ8keywiqsk30YZc9SuUZ7AC21b7K4Je1ZqLv15hsJmRVB5LW6CuM9a1'
b'nhmgC0CoarKGIQoh+GgJqiISRRZmJo1zIIQQVVUxgYwtVhUlAUgQFaIEIUCVVKOIGU/KsljU'
b'lxhjCLMuZzanXgJURA2zoWoqXMkuv5ynMXHbqlEEpCxqNw2cDknJtIkZGv3Zko9RTUoHw/6V'
b'WbFaKRKx6mo7RImIW+ztEKMKVDWqsileSUz8yIpbAGr3CJwNgdIhzjkpvUI5halAUeiZvGGc'
b'YtBXjd2zfVhu8S5NoY77HP6aG0332kSkENMyeV7Wvall6zcHybjfVT2o5RVVZQ7NXsjttPqt'
b'IZfmSU17eLsn2UthvU6taWv7yhpEyzZCd5w0B2E/mT11NRiiioqwcoxRxTA06ywz3iLdP2TF'
b'5/p8jABUMxwlFko/bw38Wyjhj9utk6l5qz7pq458j/2qNYfFlazhs0qaHyYKqzenefKFEFTP'
b'ZsaoORlq7rWE4q0G6Kfdz2FeggpycqWZrgrfHCFrutuZB28bUGr6lS0P+3ZqeMQPCt2iAKvu'
b'32isi2MD2ybMHI0DZgGg0rLCHsObDehBMp+0eZ5Rtq2oioYQEO3uF2bhnhZRiIz6u60tqsjJ'
b'tv0UmW6InKZWVSSrk+wnA4YD7FDTeroyyRIoiBHlrImxg6pOwYL6axksMYMoQm5ubuZ5JoZG'
b'Cd4JUAa6do8bZVOXWRKqLlvKZ6AqATmR8sSWb6vJ3mvWU7Obn4KBzHajP5f2S9T5xvQIwGTY'
b'EhKQnFsAEFWaOEIpMmCxH2kTCvvsHESWol7UfDkqbMwRBwPPHY2iyv0gF1UFSTjY5qzstapp'
b'af50PHO1B0UoMCkIkREsCApPZgolpDlDsYUwAczVEbW07+e82FOVjkowK/tu6xWy3qmMOgQi'
b'3s4E/CuUnmRc5Ej+/+LLi0+1vgg03SUFNuY7xmg3AOez+a2uvMLitDIpbCgAwBIcRQgJnY35'
b'sIDMEBY2y4bT6XFiVgRF4Kztrgg6UYwiiBwDWENEjBRjRGAWARNiFAILKHCQEEKgEJk58Cy6'
b'lMCj67aJUCxmlhOjLstZF02pNJiWqERkIkfR8BGRylKEU5eKlW28tCRNjFDKAaeqQCy80zqi'
b'rECK0bzLoipEcQiIUIoRghBioyx5xaJZBLpc7TVKOSD9pm7O6dwdGWf1jNaThc9ulc5AsafU'
b'Pc80bMeX0k45Ufpm00NnODus00DiwC48rjT9pl8rndam4rmf8x0Caxx/z975RjyQ+5M2LD17'
b'WpodUrDh88/Ez62+durbF6oZkctvXQf5xcOusI9bLTRQDZd4uKz+z74UJrtpuW8wf29ly77l'
b'Gpd64FsRpQetYfd39m+MsRxMHpPX2E2gnL+wHY5vNvGRPnioySE5orFu3IjaPvV/Mk9G6woq'
b'mX3/cBT9QyKiME+HI6mAVCFwql/Li4JaraDap5oBAGXynLMnR8G5IqzuznX68/XFHCup38uU'
b'NLxJk1007sxTkRXrBkv2HiJKd9Yh198JMLlBOgisOeUZFVABNFAZu9+cJnkUg1QJ6qQF37W/'
b'0fXP/Q0SzIo7G0PYKwGSREVzXalcCXzOos0yREHKlw+NAFBeAao1nV6RibxYSAUKi3ZIomW9'
b'C3C/JjDPLNR9eeb7XsOnDFVNXimVrsiV1R/ALzNpUhgAqLCGE7qrao031Lv5NoDBIUQIYT4e'
b'j3e3dAoAEIpgHTMnqaTJVjdCLdhLXjjK7Jda6BsiNq6FADJOmiRmYmsOLmVTMXNgCxepInEi'
b'BfC0nJVBC0+sgUWVgkQSnqcjK6sGQQgIqqyqrLyormK6qmriu5dlsY8YzxpBnHT8UQCmIMpR'
b'iBYg2ekwm2ZoiVFEFDERr7gsYnxgFOYYQiAS5Ls5ou7uOJ5NjooxCR7MUwhBBMqBmTnMAIcp'
b'uQS8RnoMl5qt+2145Fxscciv9IwdAJAi5U2k/bGQCgFieG5RYnN7a8veOZuQ77sH/l5I43WU'
b'boPVHpaG+HhCaeuypvlpOZSS1cQQipEySbcZu/f/hFfoMgGUU6esp7h/t2iLyUlc5dNjIJlj'
b'yu4ibxFeGolz+9N48Yl/2HBg5fS9mttfdc9bJ/Q+JKX0zG4ujORY1EYJs7cqlNvudKv35x55'
b'fpWHTW0PZK/3hjMr7OMO/NWJdmkU/eayc4dHFSQxbIvaCVKXHRxT506WemHi3j4q750G/bY4'
b'cvtiqqW62hrSvS9KgCLwbDcSIonUWbYpTcx1BCb4oJmmM8r0xJqapskSHltOYRuFQFld2EcX'
b'GUlEYNs+kwkkXE2JzJBJVUVS6oUoiFSxH5TYjPRnRkgfDIcY2ao4fRIHAoNavT0REVgszXm6'
b'IrBbhZCGX7+gWbDp4UzHrpJNkVoaNkBjvsYhXqGy5MzErUdWks0qt6J1Skd4XiFMJRiEigir'
b'EkNUAxcrUPP/tgunhnARYElPN1UhmycyJXOuxHRRC7bnuPDrJALroVyJ1J8vxz8ov6qwtLHA'
b'PVdVqBLQqgUHtX1TjsQnoh+muzf33+l3Nzd3lu6XiAyVAyimXHla7AU1u/J0XNF6GjUHZ4xm'
b'i08l/qMBME0p2H/OAUyBmZjneZ6m6XA48HxgZjBxklrZAqtZOzkiZ8hhkgEoVGO0QHXLNB2A'
b'aZ7JdADMKREVMpx2ySi6qGq21Y+qUxDJZE4BhDDb8QJKicqKbSIq3I6qJLIIMweZppJVnmYO'
b'NIUQAigJACGEaZqZmXlaXtUGyHTJF/mp5pgfcg90kYvcKA1ieKZh5WNoUKFpIZF30b6dYb9D'
b'Juli2eJ4Cj4Pjx+/BfrP4Z+eUet30HgSas0iOga9L3YKMLOqbC1rE1XaSgk37rvbYSsbGK4U'
b'GJryrMo7L76g0y1QNcvkRIGI+pgh5tAkRR7b4Qg3MPYaLNVauO1fyfjTyopXwoB67xdTCo+f'
b'TbMZ8SoY9qWgph3jZLFxh6BJEZPZULdM5ARdD9JgYqk9E0tfxG4TbcDc73cvBvhzrXDPvjXl'
b'FEbPNmBqNjP6UGiUMK0xQMsKOjAA4mmamCaB6f4i0slOJZgjK6X8uEykoMCJxQWJUU0zQWUq'
b'0VcB6CVUzIaw3a9UBehclywxITnoZwqIRzm6g12DmEhgsgiQ+YekwRRPMO2HxLCrJAOghqim'
b'dbHbewtKm0ZGQBV2OcdgsRVPEkKBPOuVkogFqhCgNSUq655ErDGzjqT0XPl6WgN0Wu9rEhf7'
b's8woCJY2qTkx4ZCz7azbgM1c9Vzf1NR+MQmuyzhnZ0VBXGTW3DuQV+XXL9tjfx48vp2Uq2PU'
b'6pDojJpa/xzLA5Wqjyph/VIHBRtsSzBz+H/Ze7MuSXLcXBAAzT0iI7PW3peRWnfO9H2ac+b/'
b'/415GI2ORppR376Seq8lM8PdjfjmASQNXMzcYsmoRcWqE+luTuMKgh9AEAjh9evXx+Px408j'
b'knl6PtpLzly0OU8ITovgGr5weWaGOHwsaXX5M8rihp9JKMjE6S8sDDBPIQQOkw1aXkJt/PAi'
b'VmchJbJiSpajPvhX/gsukafsVUpsxgSVaNaiNpLskhK8HsFsE/1EEKXIBqCYtgpXQmDhIDHG'
b'BClYmFlJFLCHV6ZtZ+puAA/Z0/VianqmDbqywVSi7FvDuJkXF5vGcImdCKZ84tuXr56qV3cs'
b'fsr96X5w/N7vYUaDP/y7zulRhfg177VoTno7uaJKwgSiHLin5+wLBioH3p0i0/EQDDlRj9rL'
b'h21UzbwqezzTJvKiabhxNsg1A5KKM7uJU0ouofaOwFq2NRiN9QPCrFYcyJBXF76vrrg1LEDB'
b'Q4dt8XitcK4aU/9UvkdlM4LOcVLIAa+yE/l152vnjB6WCwbGq1GxQcAmaOCb2y/YiuMJF+9n'
b'tCzYkF29tScJvjTfhQJJSx6tXyxX1JZd0lRsIBE5HA6KObdpiS+WekqcgCIzM5vDUNupJe3X'
b'ac/yA+e3YBpxIcnsy/c9tSzbprcGJ4syLk19VQVRNrxZzG9CDosDQJaT8PSWlGu7zJVvjzYt'
b'u7C4OVW2V1oXQFRJs8I107N58BX1FfpGFmKghUKylGiaFEndZ7+ZVVcOxD0tHSEh58gxe38i'
b'twyrAQGYE/opT0qr4IxjS38XAeAqm3hi6tFqn4dryPvCabiZ+V9fuNLhjruRbTiqa65bFgIt'
b'ug2RaZoQlz2guvVo5M3w0mcxL6uxXWskzY4pU7XGMi8TFiScJzIVeYA4hHAgDkLiOiJgbiy9'
b'Cy+FIPECCsxg1sbvSs5vi4BpOX5FkgGEiTB5ZOlaq6phYQpLd5SEWMOipRMSttDikVRgTFoA'
b's2RBkJCUMRyQS3t2+s9T0B7Wr5EWr6O6J6aHFlhaTiPc6mHu/oW5lnOjBM6JutvMzd75oGKH'
b'meHS8vDa0JXJaoDITvxXNP29eEY1b9k/g0MaW2v2o9OzkOjVRhbiS51i8iYlmTjST7Qwt4e1'
b'YShEYSFzN5Uuo6fADHxbPf1w9isC62yKmknPfAnNT30VO2cEtVBhH/IVale1KoByCdIn3x7/'
b'q1sIERSACEK6UuwttRREFJJzujgcpWpZZbMirg+00/gPRMH8dQFnS9gfvx/50N00WrypjzJN'
b'N8eikwIQQpjtlCZPkEe9Vqa/XjVUjVwVAJi5NZPvonF51XgpcJMCQ/mb2ikCZnI2Nv7+BpFd'
b'Ig9EIAohhF6zXLrY1Ou6tlxBLk1t3vUZ8rvOmLbuRZkgTWDDBmaZNX+sqrwMml0uz2SfKKrp'
b'SanKPJ4v64vHbNO3LRICIN1CXOtCawL0IfZ+qpd6scBj5nQTgJds9A2dADxv8pERffLDa5c8'
b'SvQ701+UnMNZaDaAfD3VvxU9uWynZUaM7o3yD1NppDfQ7HcIrv0Fl16nWLAAlyjoMpWlzp3g'
b'wZwiCUsatFCseoiEZVImZPEApk/KR59VvAWvZbDBYS6Mph/SDLuDvZTcLnEWdIq9InL8puVD'
b'Ea+XGgFmkiW0G7OkSLjBZHKySwpMgCirvdCXNgAAIABJREFUkFhNJlmVyXrGyBdlUynshh4O'
b'8R/KDWCsliKRnY/km1xGAKiyMnMP77fb9rzcabjxb9Qy3CPLB7gMfcnLKyMm50F82cLzMqzv'
b'SimnqHrFOresBQMktaTtl5vFE+irL2PedH/teZ+GP/UwsXmys/BnTPtrQV4wjdcUSsPM6V83'
b'6ft3rx70l+lcmGjd0h7csMOjeTC3RNnSqQ18tgZ0Nh72/IRrGaloW7nQZ1dawpGjujhbqRV0'
b'6F8EsIRwKbgib5Q2UcgGVMxsGx2wuEYQItVF2so1a5FH6t5Jc9JYr3f1mmAupxlOwreYxCJo'
b'LsVmMYChSJtSeoWY+Xg8Xi6XwMkV0jRNrESj6SsTPWRB/ldLRWnFzMTavCWjE2lPS9J9LgPi'
b'ub0v1ivBywXCEBa6CmEtgrV3IHklpWKTJnExaBxwm+KMpOABKlcRqFHal5z2Vuha4u5uggCR'
b'YptApJiCCQBg5mxnV52zlRJSH3Wx7CjiBNXM05+xeyPEXA7IKXrK0EUaCQAfIK0aNaMcDj5I'
b'YfKdTX7OPENhHpvnrqWNzH5hIMP67cY0D82KDsZYayDSvAVAm92ClgotvFba1iQdjYOp2BXW'
b'uyZrdkXKSV/CMCMbInJEzxRyIVcSc4Dz+gy3CZWtglLQqHIiqRnlR66MNZJ2jYhEJhpNgZW9'
b'UDvsWNPOFhkETtDYHN1JTCw4sN3KKrxJH0AJWyl5NWZma0xMvgVWcNiQHlbL3tpdNu3R91Wx'
b'wd+RI4ddbW24bgR3pS7KlAMUQ3DuB7AUUn5tN9F8wB0KBbrySwk9XL7asOpFSUirWaTb5RSZ'
b'nGok55809W6QynBwfHe2330oHTbvPvStvoXDcat4NeyAPu+fVFjULuhcfto1v5n6hk1ld/2p'
b'NM97QPZweY3bD9uDmoo8bOoyJwdpDemuETNngT+1zek7ki6csj4731optffFlua1+Mlgd7SI'
b'eUQEcw+6vMhEDPNFEcg8P7iV7r4KCbNkM5Jl0QEg0jVxqwwgMXOQrP8iVZUM5Uq/PVdkTp6U'
b'/RMARHw43BwOZ7J9UcFTmGpvE5RJgpJQ1LrdLM8Nifr8YelISHfhWAUSCVMX6bavtGmA32qJ'
b'kkPLQGxn38oVwC1z6v14Su1jtNSbvy7+fMrG7Tz/LCZG5usv/3qV2Sa/+03OMiaU7l1nbMDV'
b'u40JkDQjzwQwJDJLjgy3GLOpaja7sLdKmQSJzYCbuOvdznL+lZmDLPPlBQC/wNPIEwDnBrTu'
b'M+WTmtW7z8scc/vQpGeU63pUBXEokWiN3Dlrzqr2VUL2M2pFH5H8lNiDlfa4WNMCIm51m3AX'
b'8ZAYoQ17mSHPX1zBI1UQgPxcS/uqjNkv0Dgp/IgTpXjDfrkh41IqlGpKpkKRg3KXE1JVYrto'
b'j4SOoZWsh2T0wwCN7kRIiRedcHkasj1qNkU7aMV1jLXFt6RM3KIJ6KmOk+f+7Xrd8a791ciF'
b's7sBq1hS6dFjQIwXsCX/zbNr2iabQSUUz2IDsKXMTWxSK82dauTfWoZghmEm/xmrq+5XOZ20'
b'xxmdVbrFc9jy/ZZ5d4zRLr05DSghKcrVNggiYkVx394XYn/NV3QDgAzdRUKGeQvOWNgxL+J1'
b'qiJmq1DnCVQpExyRAtM02UipKlkkamYCzUoASfKwRXZvRRXCIRZIoJwPgZeZiGafwEnGNree'
b'1s68mZk3w4XyywikFtaO/3vQ0PzU76PIEaBtiITYPHswLddslurSxkmUKcqDvKZtXfKrEmmA'
b'R81eS+qmpnJm4OBUdCxGoMxBIBYRxPy4p6CAAAsTmIUtkCqxllseDUV5xl9tdshHCfnpDMCi'
b'I3GwY0IAdpzJhnw4MLNI8mFQdLkEiCTPlc71O6isu8zyRazd7HEtOltHYd/4StosCFgsaJSZ'
b'61BgZiBqTK4q7RxVVfJYRiEVEY0Xa4aymuc6JZGifIqKTKnR+f4nJ69yJf841/6kMZ2YMdkW'
b'Y7b1xInlOnue8tcm1G7Bqc6qWo6AFw6QKQcZIyogQggBBNKZdBaiSeQSo60+E81UVfh4iXE6'
b'WFU56i6bh7pZk2tIYTDMHhawGijDquPN7bv378s5iQKSY4CUOfJRdalWNHia1Ew105SUWZyp'
b'gogsBFUQCIUwFFZHaLCY/vQ/mXjBImbe6g2TmheYSSTjreXkhKp+MbFAKNR3CQrct9sCIXvT'
b'D70zTT/vpZEAQMKCQwqUFuo8vhYp5kZcjgdzEDFLtiSIksCTmk3CISDOxcTaPoA5BMrBUo0L'
b'MbMQJsDubVRAnwACecEMnrO7J2mPS21yJyqpkQT6RuMA+DSgsx/SKO3c576RNLjAeu1eZs+k'
b'NpO4v88bMmtY0fOkb4KwvWpECJoPAR6cNtHY49OwzAcM1IqmefkdtEdMvFbJskMtuL8AICyC'
b'RJPHt42JfCSdkebJfc2lLa6464iSDdJdA762/QyjUTbpEZPbk4R/UkRBX37f67VN6wPRm0/N'
b'XuPhYJOYWyM6mHtjmBpWSRnm4dvFbfSk8ujuqGqBFIuEkJVKPYghmNypJoktlicQILKJuIvJ'
b'mKGMSkxFbVIiIpTbDyRtt+tLfrIg5FqHyAnMd+Mpi9m9tSAJtVdkv9ySsYCamw2nWOGs6Amw'
b'67OjVJsjOSIsJ7G6dCq3IeY2aBMcmkYEwMyQoHlPESJAknU9lGpM3PexMASRsAQhWTKUOaoE'
b'gFRvM/hmI84MqXQZmR5suCa4XlTmKFafU6BQPenMbMGDxV0OLLTK3UJj5wSnFJ5G3ZmsSF17'
b'HjEPBkwsFNf+CQBRYKLG80LTsNKFXDIa+dDKAZCVm8F3GSREpEJEIu7OgIF7M2xIeZiYcQgC'
b'IEarAk4EMhGiiD1icuvQFIrrSMP9krn6pPRxIADsweIPxTR9fqZARf3zA/QnooaBPgHrp9FO'
b'LPEZGuY5Rb/3P7n4ZHbfFPtA2eBbml4K/W9JLLkNCcQsD1cIbCfhLcSQHLpViuGG0a+V2cOv'
b'Bohsp+b1q4zvarFrcHBjSfq9cLv8dhxYiSjaUa/3NAJoTrYdlf8VAMXk3K9uc1Gjl4elLhFp'
b'rCCGve6b2jR4OAj95HpyGGTeaMd12vMmLtXpxOZbLgMvX/uXhr0elpZhmmlqK75d8pQWbpSZ'
b'3JG7t8wkHVv90mw73e+qQgRZrNeRgBFYRJQLvFj8hFjDAhGY1dwY5CDlqeXkrEBNlemaZ9r9'
b'dL7Q0b6f7HIqviwxZoPCzBxjSyfldK30tEf/fRIQKzgb0iwTumJa6cssn5mtgDQCWN9Eh1O/'
b'NEaExC61GXYsBVZmG8grBRicblv3LRRAjUrblnDeNQEkJ6drYq01L8ftGUazSoV18UzWkkcd'
b'SXjAYGSucEgiIlImCROAMCqhPGnUB5xtSXi9lrJmPJ/3QwmKRd4uJSOLiXlMlgVimad0jiSw'
b'a/hACqxmV/+SnCvMmPViZwHNVObqnMWN/RVf1zIRsrLrFU99Q8TffAUedQKwNh+rmR3m8CP4'
b'Q/LpucbkuRDnxhLaX8gaJNomGM+D9tf1Q3piGm4/j0sbiPyJqbDLDUQ+fKVJvZSy/fowM7pz'
b'gHUseKWidBxsm01WzTJzD9y3OXvDYNfq3Ri3HvQ/epD7kq/muVrL4wpxb11B9m117e/prhIS'
b'QrSYjl3Gx6YKELi2GGosyLHspMMSXDksLDDbTgmLrtH5HzRgmowxzWZBWJTNszzYrGsE4BQ9'
b'HRFChEAKYjJnJ+xUvKibTfWjZMDWSZU+fx6B9leq11eNnMrDxRQ7AVwzEKpj8Q4TulY1TzjZ'
b'HVXWF5bHB+EqT8rD5CUTCNmMaxEGEE1pTTUHdvNIRGTxcPp6m/UuIll2UebFdrdkCO7Oz/D6'
b'ir88IJJM2feD+OwClIhIQH6OGkEC2WqrKSESyviuXSOmDOW98EaUTie2G8nu15EA0Da4pwrq'
b'GEVFhMYO3L6QL/czEafgPyKSM3LuadVgTta4yJG8GmrnlbiEyeK0X4PUPrG/09rG9pzYC4XS'
b'hJ4LYnwXkpnl+uFP0mf60pieozdW6yevppJcy3MiLSOs/QY2e3TP7ddnJrDvWHreOy1rpbW2'
b'j49OPR16flQ+DM5xXjb1KKxcOHvo6uhjF7T8N92QycFsSPoBadvW4fJ8mzkSkWlAU4ZYDgBq'
b'63yKcJ5D+g9UbwZ+ue0E6Gu7xTANf1paVTG75afkFOpqa9YrfTrr6N3kVeWDmBa3Y01bs6//'
b'Jb9dDnZfW8VrgXFrNfYPud44gHS9JD80CxwhSipy1BdUSr3MTCQxhzcCUbrsmDPYPwWAst2+'
b'pWSvkWeMTZqAEpYISYj52CnzIPVrcCFFxNTy+rAfpi5dEck0+WiufP7kvlMJIlzowUSmFhnn'
b'0xp2Jkz+b5OWxcu0lmdPYqcU8NJas8S8R6MhckWW+UIIzb3eBlVXeBrlNvUyG3b7xZvT2IVR'
b'z7jsFc0BvEjS/T00rVo60i7GyhGQwjey+WD1xpXZL41fZnNTFOHuiboZZHci0b/Oy1AXL3ZL'
b'N8n3qFOslButSxt48VrIor58JZ6mWyIC0h1nWhydVFdhAWaJRCQ8UfW8cFcnlvgeWX9lyT90'
b'CVr+PvUOQL/pdkmYnweIfLfSjpEhWtl0Xzg1K+0bb8kP6dlSfTmpTw0q3Tjs9q/4FxvI22//'
b'9JBpvboWGpRTSNcQ0lIOU7/8xkirg00+f8ETZYfeBqAN0Pd6qX59rQ0RO61YsgKqEXyBBaWR'
b'pXzkC6Cey2t3kYCo2vjXurOWClxYEy3KTx+Ovw3lH9+AjV+3C+xSu4K4Vs/35WxLXJ6WNvKo'
b'C968AKlrB7P1KwJQdKrHcn8RQPLQm7BCuvHPIMAslLONNSAMmKZf0rkHEUEQ7M45Yrp3nkeG'
b'mdXNTtbUFinD3PBQFh/MoHnQrx6p96JULeWuDecqDxy4eFwqytDTtcdNblHbVZlNvdu0fCSY'
b'JQV50dNsrxTPpoaMCE4C7AE3AO+ZoDS1aWQqgds8w1747jfNSO/yamvLwzBVBvr9ovYQvy/B'
b'Z+4GeemUPdkQ+0saeeVfRBGunxMlN53F00PfEv86kOMA2PgQiwhbaGcoMysxJbssEUreS5vS'
b'tomk+ZW5DWNXeLL9zdfAHwW8HveiJkNCouIR4hF1f4D0TQHxJ+6RybFY+frASVnJXC2Drswd'
b'Eh0WB9Xj38vG8C2Z/u9D2roevQ1KfFojyOK5q8nm+WL5jKwd8WQwgrzF9cSD0xp2bwJeVj/t'
b'Xh0N+henUyHfnbTNWL+Eup4CoM7cCJ3Cz+sCDWOZuxIIAxQ1Kqk/zagRxoKK+ol7EG9ppn7n'
b'uy/MOa+2cIOjboCARkgLee4KMmoqTZCXuNeDlmxXiW2Yh51KfqnxWlGG+N1WQMx8URA4hBCm'
b'4zRNGdYnRM6LcpdRghQ6yRAAacL9vu/5b4x6ms+nOF8sQinl3dyNc/bEnyKeJMdHVriI5POD'
b'Vhz1/Cp/qL2UdSMJd/cUVJvTgIrDKP+Kx2c0Yillja9QlBBJ7/3CQcbAHFgqTWuBktZHluX2'
b'v1fBVNQYQkgOaraIzaPtpl/ZdM1p5U0AcFG3Ugb/2QFiGdQL/2IzjP4OQKm3aZsfU6s4leAk'
b'r0RLtQBTSqZuatTFQvG+EP0+VejTFwKAeOHhrKklyzX3WuABYDdYcjAEJkqBGsRaBXYMRAOB'
b'CQex68IgJYmReGYmTWcFh+xoyAZRfASDvu/tFA9TcHkoT2v++9JegIaM7NESyLcwfVN74dPH'
b'cBX2PapHD23MGpj7IT09rc3gEyXPUsL+csZYZ2Qec6WED7zKhgzXb3IJazA3eItqplxK8z8t'
b'VbivRRvHzMWMuG3SjgWy7NzNycxDkH3PTK7O79pmPGRQ/XTvKf/RNPag5F/fWekaLtmfPOYu'
b'hXgMRAvVuc8ju5F63kVjFCGSME3TdDhyEhIsOQMzTr5NQnZyYlHLQRHKLGjikxQB4DIzgBgj'
b'adwwO2QeuxwobL/6QBXFujFpqaVQeyF4kSVKFBIEG8yIrlDp8tVZE/nUuwwutS+g1p0GlHaC'
b'kvujZXa6m5obyUyAfE/7PP1g+t6Vh03wOP+caiZGNTkN1zjn5J9QN+P9/s5ZRe8eLTVW3kJ9'
b'/ub1cfmLmKTdGQV1/M13NrpL5/06bgbB0yoRlevyeXWmZvgBF42BSfg0X97H+7MiTpOEY5iO'
b'N6CgmAhhcZTMyizD/bHh7U1fhtsHZ+Wdzz+tcSu/aa3lGWwSXP+KaqyLJ10RKRFLeoIb1vWh'
b'03MB9517Rqm08C8i8hrcYTn9xjxck4lvWoYVZWh+UeqHGzl9uu7cs/ENV+hy//z6F7/L6ZuN'
b'YpHSGFCuIN0hhit/G4piTuF7qNsYUsDmqrB2NDJJmL613iBXOpJqUXAdKd22HLggOA0H6/dF'
b'T5bsAAfnSCvLRpIj1CzVpUDujMWLfAvI+pGsmLXB/ZTHzkAEMA+TKQyS2VdYOcXRfg9NelhQ'
b'PjfTt8xOXUifv0yEH5bhK+3U5OFqNsvhiy3NrDBP1ew7su5FhgfXVSEbbLnapPr2+F29eSXp'
b'sAcUOwRGTeEleIKvOj3MT/xVEGuMiIhMKYLEsoH6S+TBE7YqBXCQaZqOYE40xuyP3dINASaC'
b'ZOylHJZQSqYx9SOvqoqZRed4Tk0FzOreOtogFXN+7x1D22pSnZnBOQwTAIPNMUbzZwqAOZ0V'
b'2EMiYtYiD9g4i0hg1nNygMthooQ0VFXZrhs4e8g8OIuJXVnpVBNz+VVEiKJbSigMYZ7nwkb8'
b'W8rpjEVECMQcQro2nnxzqSqRioj5KfIUkuWHBJlijMVVQBEGenrzw74MPrvY9jUn5CQ4VYJN'
b'U2b5bq1xOcfqj/5JvWadVsLrPvKLYZoulwszhywP2q82knZO1bQzhHC5XKwXlmy48mS0+VOM'
b'zJi4OnJAmClJ2Cnfwhk6FsHps20KxrcjRaWoZoVZGGa0/FMQ0kn1wJf/+I9//vKLfw8UYzzL'
b'gafD7Y9/8vd3b37OKqoSwgRciE9EIJqI2oG9mnpu5uc3UTgRbd8BQL6i3NBZn41WsONKmclB'
b'wa4XXipt7D0ftNK1n/o9fjt/v/D22HN/iDTkI+VzYUlNnuZ5ob0f0pPSygWAlyf1nenqMrQL'
b'iRswtJTTcP01XLhWyFrmppze135P4R6N7ami/OpRuO3D7mubzW/5a117BJd7aH7u7J3213tl'
b'6sdMYyB5Xm1YU9GVuWYWqZy62CtMgVy0WqpBzIP6VcGs9QzWmB5plaaWn9yAJ6MgC6HNrr+c'
b'tP7J+ziYOMnhNkqmDw7pbyqt0juyxReHEIkSB4rEIKgDSIO+5L+VKqFGzyiyUO43fJ5qwCvA'
b'nUzwm5Gv8BCne5lrY+7HMD3J23GRBJpiE0p1M+Xx7kI52bdoN4MKlBAP1Zw2hfh2lsasbbh+'
b'cDgblZX8vaThWU0/LNuvLLWskPraUIssQhdnAayoDwqFWJtanu5SeQVAKwyNaNFqDFmOKjJV'
b'mRrftaaDPQEgC+oxxhgjdC45be1EIhEOrIFO/+8//59f/PVf7l5jmnCYME1yurz921/ofJo/'
b'/ey/TxJAOOkcBMnt80OgckXqI0nA94J2XAI2vz2PucVbWtCSBISI1y7ffINpg3yfN1W1QAjo'
b'gzT1W9TOtnliJVpfMR8gpRDZV2o0WupChrm0jdV+SOvJeUlP7vTbHEPBck9aeF8qn4iKp5cl'
b'amNvzZ89E49PQvxEGyLZ9hng9/49uIq6pdSUM2zP2naVeu1OPOzyVs6ffLP4nZvcgmi2ZPtQ'
b'j4uCoKzl+herU33tuDxaKvLywJCZFABxdVj8UDeMyE/HdpMex11dvYulOFG1ve0vth98ct5C'
b'gAGNcoaKgTgwB6bY1IZFK+z83Q260HzdIOBmwBOBiUAqLyve+UgekCBt1LkGzoqFJWLrOnOJ'
b'bErZ7MXCOFFe49YKzc6bFprhsouPl3ZHJ67jy+eYEVUEId8Isr5YRfaXC0YshIRWSWTRmJLM'
b'ACIsIs+VQe7TEFU3ibIrT1WdQnKo6O09cgrluGbYjPqHXq5LKv9GAPDE3KzoFRS72tMe0bq3'
b'WuVdnsfr+X2F/fLnMk+5yETblP4u6L8upLlaUNoWQmC7UL5MUOUQs6mdiETEjm7s9RhjERhK'
b'+YWH+1FduHc6eVMCCBE6a5xJZy1zEQ5scbtJphD/8G//+Kf//L8++4Rujyoaj0d5f3r/5vVH'
b'9/Nf3n0tH3/8S5km4gMzCx+iXoirdTTkYBsd3Njm7KeXuAOwDNwLVPa09Lhdai31RT0afu15'
b'6ypNjAp8NqjNPPaMMSx/DeJnNvQsLfohEZUNJjkqGCfupfSVbM/XrmEbHkbk/ZbTf31QGpJl'
b'3lOvZHaIbdzmho8P323eanZlP0RwiR7S6/0szqOKUul2RWV3HAoeT0lYEX4eWsXacG1gcYJZ'
b'wCdl/+LoHQ3TW0yodxa+0cLhW0OCx0iqdElJJGPMRjW+qPZsjpmZsknaBn2WKQZRNuXdZeiY'
b'3sBMaegijYgqf+WekJrpK5C36X5ZX8h8L0NCJuLF6AfJ1q5pJzNrrM52+hbm0tqVSG4VGOxD'
b'Ps3QKOTbBhCRqk4TK0VeUYqVYs02rDSm+BrqW9g0O/806EtpTO/9Zk0k6NNO5uMZmh8E7nwN'
b'+a71ozqs2k4AbHkSS1mqa23znpo4W4L162v4+goLVVXV+Tyfz4izzlFZhYNM8zRNIrdCBD3/'
b'+c+/uz2eDyEyZlbohW+mOPH59hDOejqfvrqZPqIU01my6ufxjLQRY3z7+eoJQJkkv9628/c/'
b'e2yRZqh2ZVa4yQeFFy+WpHhDIKK8f/BVtXi69+3jXO66A+DzEw1cH260dFxm15IrCXnbewiJ'
b'phq/ed/x36tkqpH+bA2AafeI2tulj5Z4C6R4rgL3p6sywEumovBb24wbrli84LNbrUNoS6ws'
b'6I9KPdTwT/oGeCy+Pz1l+vy7yfpZHyafNMmPTC68aIVThiE83dNOrXARlSfirq4Bi8MWckPN'
b'2SPWcHO8umNuD7L/1SMhJNV8w7oFSAGYhi/S5vgbUlqGgckOskwgIKJy/dfjSLg7spt9Sbfa'
b'kE8AYKclHWS3CL6RZiKyOwwFkzX2IeREUz95hsiHjYG7udTM47DRnLX7Kb9DYNaA3LaEVm0W'
b'1gehwrvprGi5Zpwuk+Q9cWkzOfL23kVLt5LGPGdOt3htVFLchaUvCRSPbvo2yQel4rxS3Iq7'
b'fpZLHVUgH000VTfiEGDBJdJt0nTzZKWKqs05wJmIpLkWIaLQnai4NU6K5Q5AakzXo0YUKe23'
b'rxFmUQZD/5fT/eV0P89nzJGIIIGDHG9uZZpi5PvzO8ST8Hw5vz8KQwmR7+5uT/Ml8sQh3p/e'
b'3r2hS1SiELXaIB7Nlocvlq6tCgAbok8vhH0/sDs9q8qKiCr9yjq7WUsvgKXow4On741o911M'
b'aY9MarDvSTiO4VIaah+eMQ1VKc1P6O7SrXHRtSqG/aJ1ZXCNDq8pGWq45pvdI7m1Zevx01rL'
b'6yqeZ1o22MhQBhiWsL+uJn+/xxXQtu5ydm8DNho2QtitX/byl5mJ2E9NFh41i0za2F6WyS+g'
b'3HpZlHJESjkGMBGYA1Hy9gMwoM0oJVtWxoYuSkQ44/WS+ojXvoVUr5oiAJRnDpa5a75JAReX'
b'njotuAejfeH+IWhA802q8rs1ZQzB/kY7PuLlai+NLhGtDVoIoWRW1SQvdNbqvE5RnkkO8XpD'
b'Uan3o242VYy5oiuzL7/Uixy6xDwdRU2Xv3s47ld60wwjIVUthkAShJkptsFVrUflcMDOVTrh'
b'ajB0fa9LgUwQUp0vl/Pp/P5d1IuJzWACB2a+vb2Fssb5dDrdBUwsIgEgZjFLN2GA+XK5IN87'
b'MgJvVLGPRlNr7X+ACZDfbOqFtyZzr5bw7UxPb96w130qC2tn/iuVPqqIK2TkrWGfNY5bv49+'
b'q2ni+5UeR+ErgmgVRGapgpcIAOV1og0cOIhd8CDR1xjbVoZ6v2kKb/akhw5RBiJ+t7K+VP6C'
b'rCbPvpG1kuCqv0DybkQgAolZPysIYJAQw5WT6x345/Gp9GsEKJdXNp5w1r82Te3zI+vY/Is+'
b'VQte+mH3+sU2ElaTeedeuGdOG2zR9737mtB/46xzrdjyl0dKtDxN4zlq4Kn9S61xv/30YDIu'
b'sDa9bNcYIMQgCAgEBkp1YoJP3bWx4FrPaUSGp3682Kz/85FLIjPbcUaz7KB/NewFk0BYcxBA'
b'AF6h3nwdDsXaKJXq/IkfHJTkaVXUT+JXLqHhFc10O0TAPVc0psCJ8jjTjPW9TFIS5XqMjhzP'
b'xPL7RtqQSiGFOkkeucJs7Wt2WLkqmQ8/++TXheblVB7GXJPhBObK7Rs5gQfA6XQCcHNzQ0Qx'
b'xommoRCTowosK+Xt27d3d3dTCDFG6k2hiJCvCJOHK2khExETSFUv8/l0en9/+lrjhRWRQBCZ'
b'DuEwqUZmCtMEsEw370/vD9N0kGO8xDgHMIBwifHV6wksJgEAiBS5Pn9ruEcPnno0uM0kVwUA'
b'z6qGe8Mu5guxWz65LdboCArhW3YP+Knov0LJ6E2u13aXnU0abhsfJLHSyn3NjdS0bftrqmdf'
b'X3S/hu2H1KRNu/8PnT6QtA+miDYNcwos5mALHLe3+QZG5x90z03HsrXDBQ5ryl/vWVtmD+hT'
b'CaielGL7+KPDApsGrykgq23mgWxnaepmuir8XyWhPSzxyXSYsRVRBcggxJGZlXQaSQgNQr2a'
b'igCQS4FZUPWzwAUA1rCS6jFP081dS5IbHCne8Nv5gsWHMrgp5t6TCNn2w2SA7FxoqH9aHiZh'
b'OP9diBYAuc8Z0y8POH8yy5bGEGgYoRbuCM6KjkCwDKKcxILFgEpV9RqTLI3i7LZVUlg09TJY'
b'v7hEhBdXOQIJJXOG8iSkDGVmk7U2CKYXCAuraUagtKdHGkY2vrSWVjvu15Tcr7idRO7FjFKI'
b'1Vusm+BcAK3VPgpGlqbGMpRzktTH3NF7AAAgAElEQVSptd1BhIjMac/XX389TVO4vZ1jPHQC'
b'gK/Fd3+ZcVaNl3k+X07n8/270/t7xEuM5hZWws3tdDnGGJnlMN3evPrkdDrdHu8gB+KJOL59'
b'h3D36st3c+T5o0+PHAhzjApmnnia9fywoYYsWNSZczNzBJAjdZROXjkB8GJHfub3QrHrzwst'
b'5rhlzARhTXuwJAFOo+Niy0gzAjObZJvannQAXjv4Yf2pN/NKi0V1L1IpD0A8kr+Obttm/1Vt'
b'OwGyNkIxEzUy90AnuoVaMhPfvd9cG8m9Kv/az4zbP/yBWteq7RjDQsSmymBZO0fW7vPjaOMl'
b'6Grd8Ob56+0lasGiqSqpx7jbIGnlV2MraXsrTznDmGbe4e+3VBKm83GeWI14HVNfceL1TCRs'
b'Bw5oNkjQYkKadYEAKAhkcYdXnieEYVBJzVZWi587ULmqCHPmkffv5HWkwBdKEGQSSWEEKtBW'
b'mueq9hgOWffvu8MM+z/9DtPQsqaoqKb1hWpxT75ESy1CgjkRb2DKxqQ3Gfxa9j8NcQ8VHdtK'
b'+S5WNMo1ymXuKliz2KtUTut5OX3S5MIyLvXWGxYzR39R1zWqiwo8OASIBHZcyEaUmSOU2aRM'
b'AJHkmEvwgDvFciAquEcaXp9zCpBiSphznpJhGBUu6Xg5UEhefUw3mWiXTT2pRKCoROaFJuRO'
b'UllWzCwyJUFMjMYMHywQUxlEkEmYza9OuhVQjG1Sm4WgMaP2pJbNWFSNtinBvDSGnHz7MBFT'
b'wAxNUnPkIIGDuXJfwl9wlldFqvi79kFVlYIqmIIIRUSRCcSsUXVmpKVVFkVJ0ROzgiEMsgiv'
b'YCpxGKz2BGTmGHKAAjsDKEOhquBAIlFnyXZNShxkAiCSovlOMjEzOM6Xe4DBE0hBtRBYk+I0'
b'Tff39yGEeZ7tFxNIHLXUlkv1FhwzgcIJCb585qSTLfdJkr+dTG+pL7yU2W/PxVsXnLU9OY7h'
b'abvwXtceDllS8m8RUeEVbQczYdze3tpzETkejymzn+i0MzmeECQE+fnPf05EIDocDnb6ZAPB'
b'6aTLBCclsvNtsCZRhJOzKQohXKDxfNI54jLP8aw6z/MMphshwcekxPEQpuOnn/78z//59XlG'
b'uIT3iHasO8nxq/f845/+8vbNRzPmWVnkKBx01vkcQ7AgEoBQO3FJpZ76zcxEHKNOB1FVUuP8'
b'KiGoBfQmMy66aJLwrwkAGJ8ANPqwFShj2zzErt37iWcoLMCyOwJOFb2AkvvJqRuQDmDxYPsc'
b'Jk/o3470YWGxZzoNO+hTPpL8jie2u0bfGGGPlvC3N+1ZEVc7w1jCDu5PnazklG1oXQpy0ru3'
b'rfXyALnubDSm4RWFyyNbx/Zfff4hq2mwfkMDV2WAh6YGxD+65G+KUPt60yCPz6mrSV+jtAZg'
b'rdW70FjKvPwEoDpCr9+KBCmmL92hK5hQ38DOiNk4vAHHkNC5WVikv9XRDDulO+ebAZl+oq8x'
b'fxRA822BdLLBKdRXFp41GVA1lNniBMuUib8nYL+DMLOwlDCa5p8oZwtkirb1WSBa7OuGq9Xj'
b'5nSVmdRQFzNVWufsIlMCc1ZOW2AyBUIuhElZGxy1Hke5mscKNfkn5BZ7s73mnGVgF+m972/i'
b'NhaKq7xmP+1TRTdk37dzrZvbT4a/ei63kcd3ucmZiJyTWiKdM4CEsn1Vdxei6qPq5TzHGImU'
b'GUKIOjMnHDgbKQoTya9//b9pPP3hP/8VgV7fvn57//7Lr04ff3Zz9/qnH3/6q1d3n8wxMAOI'
b'qqwKEbchYqunluwWhM7nQwjgWUhFLiGwgi8QYCIWNoenAtoQAJ4Xr5gCq/IiTLY+pRBr3ta/'
b'SQFgD6cepYotbpfTvunOlZ6y+T3ffHXQf/U+wGrOB3Uk9b1+8g3C5edPkKIPe/nK6908P+k0'
b'ndsl0JOR2dVChhtGn70HAc+V1iaIEzkaeKqUan6zp3oN9nv2FZEm4xv/4ga+z7YZ6lFmKWTt'
b'b1PjRntKA64O8lNmYe3dPWWmIU1nxc/WpI3qHvFTSds7N+d0VTBb+0nQbZyKsvI3WpiNLmD2'
b'/a0UUYhKuBjebDQSzt/OWk+HfanAGflVMw601+MEkxWqxu+wgNwYGSvB5mXx/Soyz3PxAlQe'
b'2sjYNVbmxVdsEQCGNku04G9ZOzErr/hU3i1few7T4GOiKjN1/KphVsuvI6zcN6+u3UkNjq31'
b'fd/o8kbauSX5vc949VBC4CoPU4kwna0riCip8Dz+yXQKAJFUVZlERAKiggNNLJBjmA4SgkzC'
b'QWdikbu//83/fvf60//x+3/93b//9fXrNz/+yd/dvf740x/98vb1J4g3UBaBKsV4yaNkZ1QE'
b'rdzIDsckBIHOE+GAWendu6//eDr99XI5SXh19/rH082nwncxEiuFEFTn65eA4a78PmP6pvDQ'
b'WtpDi6hJuXm+zRav1tvn2QPOvgfp20YJP6RhGlLjQ+lzm6SHe9jOKno550EJ6AFUrWWslBSD'
b'PKUZw62ONvuyIdXYW40VRDacSPmbjXxtmh5R+7c8cTaN+qBV+K8AqLYUopXt4HFVsDsB6LPt'
b'YZMF6DTlMHPWMUu5e1rClzIjiNkvLedgRngxRgAyhcVboqMoINoZxRKeabmmWam0rWFJnDDU'
b'2x18lfVVnqgmhF2eZ6G0Mp/rR9KXc224ls8FWV5d0b5my+PZxcr4UyNQI5/pEdG2l7YNxlKe'
b'rA1F/rX9aQNGFxmAnTHY2mD2tfe/7vlpD31f5XV9a/2cljnqsZzfQZRb+8Bh2wCAIjMiKwlP'
b'0xQPIhPTrCEECQfwgcIkMvEUmKEETLfA9LNf/fbzn/zq97//3V///Odf/Pq3n3z6Yz7cni96'
b'npnzdWcRuVwu6SK01S7tHYz02Q1CnM+T6M0U//qn37378g9fffXv0/E0CQe5i+//Fo4//uTH'
b'v7599fm706zxwiLTC1hCO6PDlpkmLV8WpF4QCLrFVumQenpq5do1MSD3rirBmN1GO9Y5lM3I'
b'OK5qqu9Db9b9beD1KAHY7dHID92yLP14Klh+uPz7EulBYGUnHC/Z1mi1tlzcrkKYfSO3jsif'
b'JeWiWl83zSbn9H/VhbbyOSv2KuXc2i7iPzuwngyOiYg5mEl3ydC/S7W6q5kph9iemWsMqWIn'
b'qWyU2T8bFihY/anO84BUl9aizD371MP7bgYkk0ctw1r2kHqyut4xBQDsHmQIyQLb12Lw1BTe'
b'xzD2k1hU3UC0ppmk4TJLMjfKQgUAmOV6fQJg/6I7Dx/vF11HiHbtGFsryKUem45atTTVxqoI'
b'6nZLoRi4Q6+cACT/KAUMjZrt2Uv/+/C5Z0FW1aqQoOa3gGnhzFz24GI9n/9UC9yvL28xl+PP'
b'LdqHIlcM2zBKg55uvN7/VPiwn69ePHNJSkfyhPleOMANInP3QsqCEGQ6iMbpdAoSAjOHcENy'
b'4MPt4Xg7HY5yOEJ5JmY+KNHh7tOf/IL+9Levb19/xtOry4VIjhNJRIRemJlIvfkfMzOUdLk3'
b'1vVaiejm5ibQ+z/+z//7z3/8lwnv727m2xvEeGFc4nw66/3pbeBwnOTOTg2veAFa+3V/2l/E'
b'C6L/B6QhG6KOcWzD30fvhU/cRz90ekTzejXGkNJQzm+/jUTxXUoA8k3g1bOm5XkXdHADudLD'
b'CeBxxOxq5xWb7Kcm7rT7yKnPiZzBM2KXs4IXjQxAI4Jvnvh6vW2xv484HMi+Mf2HYdqARIs4'
b't1nCt5xTXU0NvNuZ0tq6ZmpyFaaU0moJcFWdvDP1VN3Xm2ssVTGRGUEsRmX+InID3K0E1uiE'
b'z3KvYMDhPYT1SyOPP3lRISPpamQ4RW7ack4Iu3PMFgcK27szjfjbGt8rrbJJaeBByzSwjICE'
b'yWIpgKWwDlU1HwNCBMW2GtbHGCmDtiHArEGX5q084+1obJTfThx2LZ+NVbAzNd3fLn9fA9oh'
b'Yubhci7LgagSAFgCERNFZg7TFA7H6fAKyvP5HEIIh+Px5tWr29sgwgoFabLpnwhK4fi3r74+'
b'z3FSRJJgEhOSz4Y4z/aBRhvEShd1Pr+L8Yv/+P0/HeSr6TBPojHOAmLMYZIo796++089fPr6'
b'zR1ziDFOQ/hVelskp+2R3UhD5uXXfNlQq4TmcsyLpspTBCkRKdmitWdjOtN1veZGurpxNtDB'
b'a8oHPl8fN1EP9fuJzIlA6YwinQw8pvLCgJgo+1YbB0W/lgbek749ya2yl6bnPvWAL214IFqP'
b'4bMBYZc8hS5Gz5/ulvTDqQm2OWzd5cUXuHf3mUHDKr9uZIYOhKUnhrfyvCSc0UD5LNUlV46l'
b'AAdCWij5GHT7kOcPzeNzfiPanwYGjQET0hOH8IjIPNvtJ5hW97kyHUrULkz/FdmNjZ9mcpoS'
b'TiG9iIgE5fi40j03a99bqy99dzUPwKIDiO1wdfmLiQuc/ji9heWVjKwqBzXUDWM3VulaMzMx'
b'Cxq9b/0Csu9SHQnGHsI2DbA2CLF5dfJiiZ9QTyQxxnR7gZkkgIlFSNK8KUlwrRr1rk2+fP8w'
b'/61Wuv/M2bePqfMFJMxaH5gY6h3Ss3ZxLhqqbp6k8YHPn/wC+Zzb672AxqLtSZ3qIvu6/Fgj'
b'la5fVZuZkys570OMiOG8GDFz9mRlPqjNGRwITJiAyMQhXA7THSLdHHXiIx0vx0OYjodwOBwk'
b'is6iUaaDCJ/n2eZlVj3Nl1kvPPEBISIa3BfCHGdSFZGo5k6UAVYO5jFVal+l5URdSGU6/+k/'
b'fxfPX338MR+PHPXCuAQJEx8v8/2ZL8Q3xLMIz3Mk5SnP2Xi8mtTk3JlsOofM4lueCjP9oMnj'
b'gA9e2YdMG7iwz9OAoeYnIvo+nQB8t8i+T3tm9htPT1RVWAnQauMv+6hicXo7RPB7KH/71wJ9'
b'qlVQozRz/KeqvjDUqSnWQ5y8l1w/FujLGXbTl/kUGQMrIpOraKucp4s3j+a9CZY/KvVzUf42'
b'X/NDKuay7q0ko6DIBw6ZeZe7zQIBkCXNQjmZ8DIc98Oy7OD5oaQqEmZqVt/O9VgqH0pHHpF7'
b'8bgX2JjtPkbXhs0m+A4OP3tkWRZpQZwlvz8kKa8k/z9lLpjRGgKBFawRQfq+N8mLRmVYyt9+'
b'Kbnt1bUnC7TDme0XBa/EMxk20tPG4KfRZ9+R5qdHpBHf8Bij7fKgBCdy2MciECNHoKFW0BIm'
b'yHQ8KKBxPtwfODJHphnx/WXG+RTOl9ev3nz26tVnOt0ewpEgTDgej2/evDFTPYUCmCZR1fk8'
b'M3MI4XR67zm/+cxsFOr1XCAg/vGPv785CMdTIJ4OfLy5Od1fQFFkOhz4ns6ny+kVZqIgIlMe'
b'OPPQv9zxr1HpIk1SkhSr4VNVCYsu3zL60+oyDZ4603AztebeDw9E9ei0MNB1X+m0WFWulbB8'
b'Zic29FsvdQuvYfFDuizZygjvSWsb6rMgOVfg2LRxoxbfzZ6RUaE0j65WG/JQUvlmTwleVPe/'
b'MW5lW1ieVDS27K/e74fPXH/mPs+j21xVpE2ZvZfAWoB0zw3FMAjq/Pdlz9OoWVzJkF0TpkLM'
b'fX6MMYRAlBghsX9XOdkklCBEzfFpq2UsT+wt7+hTM6qwdwvQLy+WwwEFueuDVkvye+ihiee6'
b'hck0aTgRDWtq2l/KuZp5mypGUGD8/Cp1rYGStcFvKacGlG6sKgGsdJyZOQVVZeEq7EnD+vw4'
b'wyFI9trxjiU21cFhUFUVFhGLQZAqVU1gFwByjCoyGnPd98Xar9M0AZgmEUn3bRbow1zCKoUQ'
b'PH8GIKBYxyhIbNs0zTwBURkchNW6D1u/0zTpHGOMgdMSCCHMzmooFvf5qsUnfTPRtiThBJUQ'
b'WHUuzV9i0diSN32qXWgmJhGlaI25XCJqOpHk498CnnFx3t84QbLXK5LgZdjLLlMkFstpBuLF'
b'SqqlW4smNGLciQU50o0x5tgRy5xSR8/kosaRo6XSVE8bZS/mrHSnerH4ikJ3K3KyGB0VYkwa'
b'dE/AZZypKz9FXmJiZqn5jPG93GAUjtGv8ZIqsudqtyq82ri9Qbd+2NNJDpDcamUmbXFATPpl'
b'IRHiwKDL8UBK58vpr0TvAs8y8f3pAtzGyx8Qf/7mk98w3QDMKhMfaJbzOTIFghCAOANzYIBw'
b'0Vk1RnM5ZQtwAnEQBPPn27AaZg4sOl9ovsTzKdzy/ft3r95Mb9++PUw3aRCYNaZtQphV3R0A'
b'1Nr9hkt2HHnvTY5ttt2Uzyx4QfRPRLuDXu0rbF0CpjRuW+B7Yxi/c6nfZR+R+CECzw+pST01'
b'bqCotZ/63eUlk8ev9sDDI4+lHtE8jOTt/KRFxqlGSnrWknwcAF9gDwR9NstpG6GvyGdonvvU'
b'lKla1d4gyL6EprNrAGI0ZmM83Q/+42Zkf1preZP6sfWfm0KaXxsaW2uD/1tefxDfG+a3o55C'
b'KkTBhE3ztpPHnNde79s5fF4EgBRsqNaMlAxek230j6wHRRzEKbPWwUTyFIzQMENVeIM3Cs1w'
b'ZaQxntkcgK8qgbJfI7/VJv7g6rXPAlKnuW/o2S/k4WL0zV4b3rqzdiBQlcNFWUDEkrSlG6mp'
b'q2F9a/Rc19jq+x9Krg9KvvC+om0W0bMacn10s9YijSFXb/heXfgVJQUA1Vl1ziOm+Zq7igAq'
b'QURk4iPfxJtT/PrdV1/q/IXg7eEWQmA9zfcy3X16/46Px0/v3twR3YiIIoiE+aLMIVNsipmr'
b'qvN8ucwnnfNSZ54UZvKGdUucyxlTuOVwc3/6+vZ2upzmWRFIo0YJh9Mp0nTz+u4Nh2k+ExHG'
b'l4AdccR+zpZdmZi5sxHz02ASOBORUfcStQ4sVMPhbCvm0wcWBpYw4B9kr1rbBWu+Nfb2s6v8'
b'zVaPFvZLW583vNXS9tfvXfrmLf7X0pA+gVWHmBtp4af277LwyT/fv8wCtRvbsDFDfIas79mf'
b'RiB23GvmgefHkhlZnzT8tYAJy2BRPKudOOXUHCbFgNaSiMhuBVgN/rmljBrHiL9PFjW2O2nZ'
b'lXzLmyePK61/uFFy/rpYGOe0V6dzdWRQnyk1rU3a7od0t4dogPYlo5bl+jaDFMRi8UpZWU0q'
b'razqG0iEDNl9KipYETt8qQAoM5tjewDk7jzAUxila6xOQAARQTijlEV6b2a4wa/LEFVtMLV3'
b'dRXSXuyxu28eCEnj213V9QPrF0gqPN8vHpKcf7jGoHxfAC6mUiJCOXTaMliqqhqyuGWrlzv+'
b'ifq4gPMpB1FLKt7mvrxVDW+XtlDK+u7MzNmD5JoapXpWD0uq0TjgcA2Vni6Ak5eg6Gly7Sq2'
b'Exeb0uz8S9m3iZtifaWS9h23fPLvDGiM5pcTYBtZUohMoMA0CYcgN5jjF1/8+XZ6fzzcz+eZ'
b'EG+Ph3f3J4pv9XR4+/YPd68/IxDhRoQOh0OMkTlYvYFJES8a53mO8zlezsAiramq7R+q6m8B'
b'pKZCQXxz80nUm/v388evp3lGjPc3t8fLBcLE00EvfHz10fHwRlVkMqllU2p8EDgbQgcaLaS2'
b'ig+oKtqTvuHq6doQPXpP7cv/cGh7Z8n7G1Byfgso5L9cegrJPZ1c1wsRjCJ6PqLGGoTt0oFx'
b'CjVKtO6DwjYPcjCu3WBEGtz/INBcALc33h72qG7S3pKbHm2/+yy4/3GpR43DBmxIYmtFte96'
b'XY3rbxEA0OTfnTb3RMPqrWxAhVYVFMbqVWTwmqpg8LqvP1esVYlGbl7KH7V/bcxzYzgXkQSA'
b'gkopCwylkAzIrsxLR3LV8YuVkUxEnCyEzq5grfFNx4dwf8/rvpzSPOEp6rn5VYEiAAAx6YBX'
b'BrZB832D7WPf4GGZpY+jQq73a2fOtRf72ptsPUPb/vyUZlypGlFIz/Eyny9mRQYjsylMcrAw'
b'cADF+aSqqvP79+9ffTRPTJfzmTEH4vn+/X0kOQaevtL4NoQb1TlMPE0hxqiqnK/jaiTzzJtV'
b'ORaB20THiYgYlVFZDe0gh+Mvf/3ffvevf/v63Z/e319ujkeeggQ6HD+6vwTi159+/MvD8fXb'
b'e/MxfT0S8JhoKMMyk7SJVo8k/FsoOv5FuhIihtj9/WGFL5ySTDtcMIs06VK/y3oZdLgHP2S/'
b'bM8HHm4TU1jf+pspEsKKrrqKfvcS+uzE50AkQ23rc9nxf3t188+YOCn2Mo/Iep1t9NY8XANS'
b'/Wf/7hqtPoSGxXE3KpPe1PigbSCt4twSXvd6VJKBvYXhuudmIeo35oL7946h01AWfO87Vb6m'
b'D/b/CIJ4OFVedIBsNG4GwpyI3evzmqFo2rOW4enpajnWcl8xEfXr2nMKrs9am0Hufcz2I8ZL'
b'qgSAYfMejZM8LIZhxGBfTO0tpKAAEDJPRq4OZdVkn0BjVglANZodml0A4Oyh0jKY8U4s1vlM'
b'VF8JHfMNYri1QOQdDTkpBYA7p/Ile4rdGB8kiUWJgnsFRCTE6tepgjkZb/cNpnrFlc1nT7ra'
b'ThEh5phLVlXYiQoTsg+xzCt0HGrBNXW4in2W7nMrA8QuGq59S7ccn8kc6Jq84baea4U07UEt'
b'9Fq25b5HPsIqtcAu6tQF+9KaGu3kOfpesGrUeLnM58v5/hTtKrBFfaZJJgEioCxG3gghsADK'
b'86wTTyx8Ol3mi4ZAzHy+vD9f3r65+dHlEpklTHyZT7NeBCGtB4qkQFRVAljjzERw91LWhEAw'
b'KdEM/fwXvzwe+H/8f//09ss/Yn5/eX+5uT28P8nt688//9E/vP7oV9DpOAlYaWgCNC59gQur'
b'eUbT2eon2oq+Ybj/omnZoR6Sni7jDr8+b3rGwquiIDLalX9ID01XtzSvSHi0V5Pt9AhKXttF'
b'nljsI1IB35Txd96fqoZtyEXDn4CkzE+ldTIA0OVH+fBgKWgbQFQ0cE33v5bhBabDK6H0SnDG'
b'1Kb+3eaVNWGGOj0lnO7t6kIZFrtniPo8C9xZ2Xx7ERRmFrCCompvs+NFbxlUtdxALXWhJsum'
b'UZzV+X2pDfEUEcC+lbH1PVojyIoSVAkoF4gpg49ArDXoLPUuha+sVt+y0X56RVT2dlPK7l5y'
b'rtSvR8ni2hp5+DgAtAOsL1Q60vGvvfs4GaBnLM2UPQKN9Ei3b/xOfrXdbNpckqbUj/Eyx0vM'
b'1wDM3zIrEKFCKrPwxAIlUJCb4+tL/EJAYRISEpHb24k4HA7Hd5d5npUpEBGYDjc35/nMzNAI'
b'GIZP8D/GS4wXMssfEVWV4o2gk4JKd5RAFD752a//+tW7493H8+Xdef7iQvj0859//qNff/Tp'
b'L2YcT+eLTEdVItKpvLk9gm4m9g70sqZ1W1EyTC+vnW3VJGlM9um8H02CKUGYCI+6CbDWnoe/'
b'050D9Dekt88KntyMcf4Xvhf+PU1DeLf2uf+6xs0B9BvhU5fDqKL+uf/7jKlHM30G1wyPgcb7'
b'0/Dd4gFGC1xDduNYpeWJEryXOvsX2Nq91pJratv4YbOHff8QWH+tWF9vhQ7d8c0e/Yp3i7kt'
b'QaXFIskBTpmj4YAP5dJtyqwLMWV2owWvjnTYoOFyFMZpl2SzvPV1KWB3GJYh6WWA8pzJZIqB'
b'EMXMTIs7S+R3PRkPl0PVEWGAZH08CgT34nTBlMycz+QX8z9kv5Yuj51p5PMK1OXreK57aYRH'
b'eSgb8ldl1lU0PfIih6XGfbtvQCawms2aqO9WaOF47pUrsK3MGrlR7dugVdeIdsTPLpSpTMyN'
b'H/2tt5THpNJk8x30rLWMWHnuCcBl5o1ahkNn1N7QQ+K9qtkyZ2ZmMBEpi0ADaYAKBbI8U7j9'
b'+KPPvvzz10Q6vQ73X3396tUrCeF0jnKi27uPj9MnGg92j+fuzUd//tNfICA16H8BVBEV0a6z'
b'i/VXNYRQGjMcXwYRSdRLOB6+eP9lnG7+l//1/5BA83wG4vHmtSK8nSeRSSZmZoqYpsN160Cq'
b'ZxQAc/BuQ4no+2pNsbHAdu6X4zJ3aGS/Q2m44De5gFp8+D0Bv/QKo/ghfcBUNrltqLSvnKfO'
b'IjMXjMfu4XBXKzxyzbyn2cvb1/02TMFi6dj2QHZRjEnIVGutlXCzb8Fp9C0VBy9FI8jOI5Bx'
b'+PyXi7W/OnMJjxhK4fUueEU16HbK1fumw1SNTJFbXuochvLw2u01x0HE7KeJVCDECmUWEIRY'
b'CVx4DisTK1MARYLYX8sJiuzKQX7Lwu+UacXoUild4Xht2h4uOJmQ1WQDa/9A6F2TNIxqcjX2'
b'r/pfiYQZIsmlILi9cmBEL6jsgqz/lA9mjSyJiDkQRYs/BhBRVFWy8Kc5z7DNuUdU/u4ZInvR'
b'Q2oAKVhHXUKkJAZpvZEor9oTblC137ZrzqM9CmIsEgVzoCDVK+bUxVS/JrBJ2LZsLUTo/o5z'
b'Inklbl8f5iTHu8pzHTkzeFBq2P7yuT47HSYsXpWrtnme0zOuneuxIb81SgMgIMCigkWdL/F8'
b'inqxkdHpCJJwUDvoEeaoDPDNzZtPP//Fn/7w7+8v9OrjV+/mt3oJR7mVaZpx/OTjn92+/lyj'
b'2Kq4Od7e399TVJEJyprdWMV4UVUu8mG2/wmUHHONeidEmKZJCX/+019vXn3Ex7v5HG9uP75o'
b'vBBCONjIzfNsbn/neZ6c7/9lhRfyyjEvF6osLkjtIbsDJuUSzJWyzoIjE0glNbBsy0TUBg6x'
b'z5x68vJpqdTbnKRWFQ0JkW91Tzls9l+On1XkxYrloN8Yul+BptFpfbGhDeZSytQ6G0ovgMeu'
b'3l7r3yng6zUjCZMlsXjJtHxcBkCJVBKbzkEG0+3+5Q2LDkFMSA7htG7Dbuv/6vbC3pe+u6m/'
b'owJhZJ8S6Un+i8JYM40BaauudGCutCFSNBDpaa/PU1j21aXNOYokHGTJlJxamzvGOkchJjsS'
b'BTME1i0GJ/KiQAQmA0KBuDiuTlspLWbN6SdSu3xpTTaQEZWYWRgGN6Eci4NDbv1sJPvNRThx'
b'ens3OGzHtUxe52S2+AqABVklSwQWYVVAwQQBLNQoMwjKaZYpiALGf5o9kurowrZVpGkhBZlg'
b'BQYxkxKQtdHmMx0UUayEZWgmee0AACAASURBVBFpJC98qkWd2hOU4+uD1NODRXgdr3cIK1OQ'
b'iWQyIcAGLQN9IVZGAvEFyk9J3SBApJDAPZMQCVNIgoFptWDMdsmvYJKJZNJ0Y9XKhPmGVxCB'
b's+u+SFhQYINNGwIoOEbTPsnEHNK8xPEriEwcwSKTNb7gGADEauQKwhItOJGWgiIwMxNBlJhY'
b'kqd2sRrTcnMU4nTwJn/YppbiDEChEapApdSGpGBJpAJmKIEk8xZQNGlZFdmJJ4hIdQ4hBBJD'
b'OrZgAKTVKZP5PGGmeVZmDiHEGEtEvJDc6luZfAzTlG4yiG23wqwMAiwOgFlapHI0RVyaY1xW'
b'sYnlABFZGIR5ninHDwaYslTFCiYwk7B59EqvBKV5nkVCCMFuGTGzRjAHpgBACKpMKeJBIFxA'
b'M8AgNvIZCB4e/gqrqgSJaFkLLUuedeSrvefhPraudpnLMZSPgcDMhb3lVU+RiJNGwynvE0Uu'
b'xzWFnrclgEIhpaiFvdT8thcM3CAsH1yX4ei6lS4iot13YRYBKalN0+l0mucZdInxMkOZWYHD'
b'zZFIKSgTYoyqRHRU0jef//ynf//bf/u3f/rLe5ZXP/vyfJ7fXj7+6ONf/fq/ffLjv9Nwc7nE'
b'aZrm+XRzPN6/fzdfTjfHiZgRQ4yqOlO+x5IOihtxVFmJpmkyfxJEBIqQNCtfffnlu6/e/eg3'
b'P53neToe7y9nlolZkhMh1mmagEgEEZqaYdqdLC6mEjNRQB/Ma5QKw9pM37rDhO02lxVVwWLI'
b'4zx7rlXRc4SVbFWrXiQZ1glOr29brPk8lvo5EZGaB1gOWMQEMJojVjvkHqhVfkjPlXbS1dPT'
b'E2txfEOpJgi/qz20zFKs3xR9U8v+l/Pk4PACIeEkZAdiZPqvWpVLa+4xNx1r6wVgQWGINNlO'
b'shIcvFZVQiBWIdNfUyQVYmWFzprCVfoCPeNt5sLwlu2J/k5m3h0tE5UtVxRDvvZchHS1HGYm'
b'MscbE9s2nV4JDo6IMAPVASMAotD9zbopIvO1n33m2E3NSRKUJCTve3bwM7ATWDOZ6Od9P7ku'
b'ZbJZirUvln2n0HAzhUKBObgTDGIsunAAWfgZtL6QXENOVMJsiSiRSayqSCGTeLiOqq9J9qyI'
b'P1VS4F3OZdBTPQZlF0NtZ7Ji+3dQp/LE+jjPs2briyLVE5FJ4dyV38/CIQTbBzmIcLDDPZba'
b'y0i62L16cbakpBR3D+1uhuchpfG+j83zUtEaKQIgMf8IA7RNPeDp2rxGAA/adBocj3UAiY7H'
b'9k/6wpuWZIYAr7BIeRSKWVWBaORJpoWhSKQiZOZ2ABNPEg6//vv//vqTz/7ylz8RVC9zCEFI'
b'fvTTf8D06qyQIEo6TdPhcDCBljLZKAmYmCEiohP4YlxOZAohhHAw/53IXqStkcITM6JGifTV'
b'3764vX0VQjDaYHHHBWkFaPk6DYepUExmLmtjeD1JVuVh2exs9K+bf7xAukqO6wSUmNTOcjZq'
b'LBz86ZvoM+P+FeP7tv0Cgta0ZfYMZliYZcW0jsoJEvNiB6XJxpKkrD3pzoie1osfBAkiR377'
b'2fdmas8PqeYeVDPivlTbRa/aw+X2rDb4oWm4BcK019kU354kfQ9BiEDRYATySYvwROB8aJUL'
b'xDKM1vv0g93MZGXKQVw1nQe603qASRlMkKgGg5QgDIUKAaRsxg6sUCLM9lljuk5Ao+25Rjm2'
b'3yiAwFPW/kairD82TW1+T5IZstq/2WHIYDDTV8ue5+dBM7IcAy5ltl6/DGkl73sZTy6Db5X7'
b'k6v8E/JhunTyXhkxX5SdqHhUR64oIva9i4SwQopXebuABO1QrclsCSioUgZnvvwKyyaLApNc'
b'LWCAQWdv1WOLr60Li22YzXVZo7lSO5hWs6MywTXNYJIq274Y57ftoGIyyAJATy1Iqn0xf4hL'
b'1xKcXUwY/Oz0QLBPni+JSPbNm7RTc11gU6z9pEwsScPt58u/5YPd+ovUPr8LCMjbpNL3q8HZ'
b'5bNHh31ddUcGzSaidNBRD+ZGKqNUSk4nhHkEyhIzzrld6LDSPS3xDfC9WyuwXVwUkIIJ2CEN'
b'7FZuuQFEJGY4GGPUOTJ3g8kHouM0HX/yk9eff/5rIouBFf7ln//1b1/Mn/woeH4SQnj16tXb'
b't29f332SgkNLoiURSeG3hUWmaTIBIKTQHJRizxORYjZDPgBR9euvv/7RT386TZOwRKSzyrq/'
b'wmyXiWXXHYD9g76dsC7AOSz4gskOjp8JZ1LWbeyB8g+F+8+M7J8vJXolxcpfoix3ZkseJGyf'
b'ts8PqubHyo2Z/xIpkXeb1iA+r1uUblWy8o5X3nQM6PnTQxdIr8pit8MrUjxRVY3RtlKNRIE4'
b'hylNCD73xrbVAvbLD0UBYsCeVWOunYmy+2SmuNwJJiip2l2wmCbFvDGqKhhKmswRGFCYpaiW'
b'2wIVGPJw0He8sOKkSVVTQEYASkwEEWFzh8dK5j+xxRulW1sEsGe6+zwrxGmSRzKFt7RoUUco'
b'ebuuZlg8jOvQ5AJiFjvWojDudLdD4h/2aGVPtCeyRtV5KFoybvIwSCOpqs46z7NIOsMy/XWa'
b'XmaiaHDN7kcoq0CUNVCIFAWiFAOF8lwQ1M6bAFBkTlE9sxXACqG4XpdBLnbe1fgnmrU15eF1'
b'29lMA569qB98qqf7KrPyX033LyKXy4WIpmlqcnqO0a+y0rbmQ1q6NVjPjW/Jz39oxA9L0Rkv'
b'NSNZxs3/Wn7qScsyDmspXxPiVPXz2Gdr6L+RDTbSo3FOv9AaRre7HBCBzGW9Il8UAQcJIVA4'
b'WJmIMRuSTVa1amS2o8kQiUlZiY/H2/P5LOEIoptXn/7P//jLm89/QonshaB3d3d3d6/zHhQX'
b'k1cJMsEU+0QkMkmYpulIeb2YCVzT90nCu6/fhhDevHnDFJQY0BVwm2SALQHATVtfxG5f7KyE'
b'HdmuSYTPnZqw5ztlgF0U/FSIg8FNgO1aXlA86LRxEKIUVj09qf7We1L+Kf8/7qN3a/HQBVxV'
b'92Gw5rc2XfWXOuaS1ZPxuq43let2/CNevGjCBgcBLiXNutvsfb8YbeMyw14Obh9EMO0+R8pi'
b'l35JI0WlOZqqJuF1tvsqJbQCYuP+oq48eZQutahiQQ25s8wcI+WNJOnmo6aIYQBYaVYipUgg'
b'xQwEO0cwF4dqZ20cCcR2hSDv9EmBC82mQb7jAAWzhKnsepSIZqi9nrdDzabP3LDBdY63HeN8'
b'+3RxTV0nhS1k9Fz5gXHluIZVoCqNggdJvurlyRqmz1X7ad1Jch4MWSFCre5/VW5ZehGTNt0U'
b'xzJugCFmFqjOl/lM98Q8J5MO5l47oBYQQxmsCgErKIAVEKVIFJSiQkhAFMCqM1RTXKQESrjc'
b'AN7qDpD8GGZZenXorKnF0D9GELEIm4X91VryWQQxV16APMXCzlJSQF4FkjFTPYzt50x7gzb3'
b'q6zUyGz+lArpmpU8eSS3NhSpNOEUoDpTUWtYn2vvPQ410HypMSv6h51tVlYvFXC+tZVUJ1os'
b'1diLymkqs7TU1NI2aWMErq04tMLhahCMUTkKvlA5+2IQK1ghHEII00REFAVzJJIQwnE6HCQI'
b'JaV+JGi5sMlBglwiONywhMvl8pNf/OLf//iH0+l0c3NjUx/neTrI+/fvv/76a/zU3W2AMAUL'
b'LDBNE4iSDdA0id14IWEvMwsTkRCY+S9/+cvr128O000ZCo0qImlXzcalpcPPcwLw6JQmqXx/'
b'UYePQqSEfBqyO304tP044cFL9i9/TpCIrKt34ZVZumLzOqGU72cuMw+vYFuKtoIAvLBw+H1L'
b'TAE0CKBLDzkhGRLnfnKtNsKd7+R6rwrnzyUiMrNqbicHkkBy5HATNVIyBWEiTVAsX0qeefEk'
b'UzzMMIXki8ZlBkA85Z0JQD4eEGaezBgoshIAIUBBc1RzdaORhFiTgxVSVfOujItGEKB2QKCB'
b'AbudnC93KhSILIckCywdBxGiMrDs1SCKIKJyImErG6yNgN+O/1OEbc/BdiYnAKweIKDqLG18'
b'9vm9AACiSDrVu5JBxuAvTGQpbmfjH0OuGMdnAzC8fZerYCLVeLm/17PcM4ckwgYhBRiNmxjo'
b'Ct4lJdjdAWYhOwegSMQxnk/JdCEF1csrfYUqCgdooKcqVJUswGrOWQijwOXSpManPtWQbk3L'
b'MJ7opPet8lDiBgrA7gBcLhePsEvDKIsxI8xdLC7M/CzLfkXGYDJrNCEFhyJdDqZgkR8WAdIC'
b'0DZkvL0Yr8LrXkLYXphlBKgd0lUd5bMgqJ51r33tO7XVkmTgaeKlgIjCxDKzTIfDjcgU5hgl'
b'iupBws3NK6YDc0hoBtEcSBAzhMMULuc5THLWKFOYAr968+r3v//9b3/7W70osU7TMQh//vnn'
b'79+dYrwka0NIcsxl7ZimRGBTYAkiE7G/7LT4emKi8/n85Zdf/t0//KZ0WUQ0rqmShSgO3Qk9'
b'P8blFSmzSt9qd+9Z/bOprnjKLrg7FW3BtiI1pQ3qf1BaojhT8aVtOsL6dJKJkNSx5bP9ZQog'
b'DRw5ORlhyvuNsrlUNIDF4LDrUvnOlj/TCHy3EjJTsMTMlK76jTWyNfVKxtxN5j26/zVA9jCQ'
b'V2n9XT+sYWZ1n2zvV1qyJjY029JQv2UoCRyON3d3bz6LEUi3KNv6AHiXkcV7jF0L7v3/cBsM'
b'FczmRsTKAEFTcGJNzqeJlAFWpUiBiaIKlM32JypDDWeYCpM1Jk8sZgGSDJnMpBmLtXH+n8PS'
b'FEkSArD4HVMGgGgmRpzUqFcmUR2dDOcHI+1pHpbl6wCs8/JrGcaYpZ1yFNMgvF7A2EOHyHr3'
b'CvYpwMUze8amMiCMnRUl8TCldF7fvNW3nJPlKpNhDSIaCUJsDlH1ovESiRZHonl5sMO+Baq6'
b'WspnzSZDwgyBmGmQ6TEpr+3ik9WtPoPp2qwy+M/JlHkwUFxbxfi2lbXjKMGWCCDjuWiGNJeQ'
b'ziIWYN3laSpt5iISJN9o1MaugBnMYFJCIBGZ7GiO6zwplkKihLFMm1TSFbUQEcUqvkGaWRGO'
b'cW7glpcl/JN8CFl1yr/l8ze/NkO6UUtev9VUNpmvCif1gAykjqaQtdU3hAQwnYjpyLmczAkT'
b'iahMYBYJMcocACgJsYRbChNcMBZmkIBYiXSez2GalKLSPB3CZb78+Gef/fM//T+/Of8mUACU'
b'WeY5/ujzn/zjH/7xfD4fj8fUlCDExKApBBGJYGYWFpGphJazVQOKLIxocfrwxRdfkEx3r94Q'
b'CVjMsyzEjtCtv6YVEjPsJMp3APZMwLOkl5E3Hpoeit0fjfWfXUhohq6h7Oeta5jyhb9aBlj5'
b'm10Cpts1nFSq5i9ohaekrPrtlg+/zWkVCu9LjbHcrtTvGR86ZVJZ0touxbyqZqN0/YuS2SLL'
b'8ebV648+UyKCUEgbvdnKp+2zRmwFNJQLi+2GCmLJKDv/5DU65WH6nJTcix/PxVbBvkaK0PKc'
b'FIzFERAARFVSREREUvsPSkBUxQxlULS/rACiQT0UEURnjZd5vlC8ADOPnQA9c/JqzjKwRMU5'
b'7JKvyp9z9lPv4UJDkBv0yczqf9V0VFmkIxSPxiPhcKOK593yMDoHsCrCJBQBitCE9ZkDszoH'
b'gsmKAwSCEiguPoJy4xmSLq4DRLMRW+qzSOC0XJzpBVX4bJmRRNhmo9JGOmsCjaV/vUdIo/Nm'
b'CefCmyfVoPfy5LKCVIVQ7vyU8kv849PpRG5JlqXK2RrHt6d0x8eOIAiYc0co/8JZprRL+dGU'
b'u27cqCmz+alZHT7Pmheg/ZJqswb9i9tcvZcheYlzMs5W2rAtYzTvDqtrVnpfzEbLi+cRKDOb'
b'TzAlFnCQKaRbMsu6YJCwBEpX7ZUZIQSR1BHNtmfmTkpEPv30E2b+61//+suf/TLqBVFF5NWr'
b'V5bhcEgXDJiCCBGEw0Rs2wUxm7PNamDNEcI8JydCX3zxxd3d3fF4nNUagFVnWdlN5cAN6AZG'
b'3xy7Sq/T89lSgmcTWF78hmUALyGNf26AdWep75dZ87BfMP3SLbVsD/KoSbLd8j0rqnvHsY/0'
b'nhJVJzlJpHcKk3KBnfIaqkpDtF3BnIkY+gczkRBIhIu+lEkpSdVsGhrsshsZWK6n8v4LJzb8'
b'mBe8J7A0Ph3djihQrmWonq8RW3/Tf+3u/1pRzb5id+DSzjEuqa4u7xBr4kH+JByCTDjc/v/s'
b'vVmvJEeWJvZ9x8wj7pq8uZLJJckiq1hdPTPQSMJAmLd50ZMACRhgXvQTNYB+g94akICBMK3u'
b'6a6FxWKRmcyNmXn3CDc7Rw/HzN3CI+LmzSRZVd1NA5GM6+FhbmZuy3e27+zuM2YVOsvkWnKc'
b'3BCoD8m6tj5dQB19PV87pPVEdFZ7ayvvNTtGGR5apILUtKfcoNlS8e1Oli055NeUIchZzRQK'
b'LcTuBfrnbIBSTXOfFpfLfrG8vOjzqWFJ61vQMxkQsrDFbxrhIQ5k2whhYIfbeHyU9zdR/lWN'
b'aa7PGJ7ebr/riKp9xOSkHG9QYx17tZQzGQgPvjRloK26oww/t4GjowJKNNOvaZi23Wmur/R9'
b'wOJcU287fEQG3ZS0OmjBVISRYegfQYqbDfzR40nsXY1r42OWh1gLK0T+5bgUYTHfNmNoVqJQ'
b'BFPHGFWVaoRgyYhX8LqIIBR6TfeVbwmLzMzp/502cX1bIBlCIC3nrFWSZ7UheE8CmXN2OlcP'
b'EWh7GkJIaSmCnJODK6uON/6UEEpigEII66zEImamgkHO8QDN9qX7h+LA00SnSEDK2cRUVWJc'
b'SQo+vvpR8gkhuhyh2wMV1EZPPzbf1ratrIVtYG+43r7TdvYO2Qy3CQbtex+ph1ZF+m0NWG/b'
b'BD1idfG2HWy7RnIdHG09m3yVZSHgRAhBxGCgASqdWJbc5zDr+j4BIILMA+Dun6LZFGXJs5hh'
b'qJmCCBhNBAixu3vr7nfPnn34/vvLPosIRGKczefz09PTnd2ZewGFEPreZrMdCG2wPSOQJIrB'
b'D1omfM45RiFtsVienJx8+vNfLFOOYZZzNil+1sO4qUfKFauRYGMMwBVv5Y3KZBfD6vz4qfxI'
b'pX19P9KAt3tBLR5QUWlO2LAE2HDq+xQUP8Pqxl8WrTZsBs1haRgSBv9kBPgzlA3q/z/vEh5m'
b'yMqZ+sNVD1iGgWIKIkjoQiSNIXQlS9GqoBEabZzZyvEDoM2DUXIF1BiDjf26or+Tfx32a5Mf'
b'uKgwcwvURqVmgci5JClTTTkbgOQO3M4wVD2FACCrw9+clmlx2S3Og5wDki5fwPo1gPga7cPw'
b'12v7+4YVbrhizRtZv2FyceODrvjKjfvlTTePWLllzQb7RkumxWf1hz4HOKicN1VoAEy3tHmF'
b'6Qpo+OAN2c1YRIBlEJN+uZ5zyA0HqgzepzZdfRv7u3IkVUnGqk7HKqVpe6eZeY/W5QeSBcFP'
b'T7qJApgtcVVzpgz3uNi2OV/b5BUMq6m9Mqz7DWM+jB7JJuE9t4jHQ/MmP195Eavn49pwrTS7'
b'INH2udcra4B+8z1Xr9BrAo/2tmtuCOvV+rBsXONXVLVN8gGYs0kEKX2/AE1EQhdzUoYY1dOD'
b'NLLQahgNi0JTzED3w4FQFR79SLt79+6XX355dnY2n889wZyIzOfz84tT8nbOnnSCoZtJHDM8'
b'FPRfIRGAGGPOOaU8dP/p06ck9/b2WrbZ1em6QfPyxkHAm48uclUBXXzESRbOZQIsbt6jcEq0'
b'YUB/tmItW8Vr7ADN/c3n7Yw9k/W57Yar77lOWQUKA78bcDXTwjUg9bBlj7vtmElGrPiV1noM'
b'gQFDXLUBVd9P0Ogek04G6jObflfXdSTdmObpLhkMDD/Ji29b3sZ1Z1LqdrM6SSoPo5mtzvzv'
b'+7g2lZJPn23B5ZNz93uunckTAPfDF6WZiMRAhuJkwbIefK4C6NAm4qGZudNIo1F2nY2TZRW/'
b'gA1PLRpua88nlqD5DX30FbguAGQLkyvlczYA1EEAyKJmZh5yDOcc0qLzBty5ONMQ8zzEGWPI'
b'ypQutY/ZgqoSlALatG2zmbVg7i3yvWx5mxtcGkg/j+sdawGRk8N+47eTJ7ZfbUYnambZU7NZ'
b'0bbWLe4aaBire+nk4viT14lAayfLuCJaOxXNs7wJfAYbYH4O16dYcXMiISLQwvw0PMWPaKBa'
b'DCygcEOh+pyXxk5A8+ZBcPGjeZ1WvHo2zBNW15EWuJP0qNzhnvrBbCVx+EoD6h8C5FYI2dzI'
b'WrPfM3zwsbVRRnrNFkRydPcZjQMmhONGVutExXnQDfWwrqkVAYDVmWrzc71VTfP8Ysn7zZXX'
b'MfxkYkUd1vJ6bdIo3ZtduuCJjTMc8NzJq7nqV2+Y1Iy1gR0F4rWybVlNHiNFAMPQ8uZXZkgS'
b'IBRVFToPbLSsxCxI0M5yThaDBJiYe957PboRGw/HZ1l3fOfwBtSOj1++9957nqmQUfYPD54/'
b'e2KmBg0h9lmjzIQh1/HUgp/HEzLDlIgiJJ3h7dmzZ7dv3+66zpQJ2demL5+BM3R9ulxLAPg+'
b'AN2FqvWlxdXX/GcvVyP167TzmlLvW9z8PcsPMshjJTWlF1kOkSqXlpPAnUgHf1PA2VCKQkY4'
b'3bsdE7mTHEv6d3EDa8nC+P1b/y+2bEkFsK1sm5arJ2WjdVu77XtOto1oCWtzeFitE1P4Wz90'
b'pX5rk2VWZEChjEF4ns/I3RSwolnxIDKpGlaQdI5OFBg1Pd5GBFMJ7le6WdJukYKBiQU0KYlg'
b'HMUVF5Ts9KCAqpkaWaGaepSxiQjU21c8uj2lADIJFZpHDgOAuDCSKexIUPs+9/3OchGY61Z5'
b'BdKqV1oF2dVvanjR19kbzQxGqKF1ylrdWCbQbVsD1sHfBMICcG+oFuBeIdZMphPX1JNXdJCD'
b'4XScJ4KCmEkzVu7ktRqs/WRVB4wGqjbjAIzVWB35DR1pXwpAW4sAmeKzTeh//f6NYnx7zzCA'
b'g6Z/mBjtT9a3hU24Yj3CeEpd7auoPZiuJqEYBmTbDSuDQDh3p8mGPRN+PmqSJvpiY4WDtXNE'
b'86pYnWlXbL8bN9KN5Tr3TA7xjTdMdrn1Kxt/vl7zyibJspFevagntY0sZ2aqKyulLSQBNy5l'
b'wDzzg/YpgAwdAKc5DSIAA6tMPYqC1VuniClanmujG1WQePPmzZOTk7t375IFl9+4cePRw68X'
b'i8VsNveYgRCCssgMGydjjcEByaw4Pz9bLpf37t3TDDcMD85I21aZlw1BwG9whJtcsQZWb1sL'
b'HfM0goXA4M9VNuSYvGo+vU5fznLkbv7qzZDKNbIBXK+4dXWt5W/oTlNmhftHqHMb0CQAyelD'
b'QK3yrg1rwLS8dwGDSCA19dmUZIzRGFRV3Yzl6hC4lkJJii+071M29PHa+Sv+eRVuMeZetwwj'
b'OTndW9i89QFXvcWWuWX99/6tjrQYprC6zdJJcrbGOb1VobnpRIWjCcUsSxg92eiqQDJ4EEsd'
b'HAOzX1AUVwoRQMNAruL8WBxjpdqTqaL/tjsVaLKcBih7Zrnddbha9cU+WqbqLto2kP2wkHF5'
b'4lxVv98JQDMUDN5gaDYEP3ED1MwUEAvCLkoXQ4xBOmWou1w59lzIqJ9X/l6H18Mwtn9Obpjs'
b'lldvnuMUWqv/ajC6XqyqsrnacpqBapapQWGqKpINaqaOyoti2H+7Fh2xsf0VmpQ1NRy+teUr'
b'x3E7XFIV8rbSryECouAGl46coqQKAO3TtULYsZm2SuHVPrReH6Idqhe7/0kXKabCwKpjgJue'
b'ioqnXFBjZYEAQDWR+nltuFrxo76ddanFI/VlGPKK1adx9u3YWvOOXicKjtc3AqWJ1DSpM4TQ'
b'L81Hr2JiyYOT3jTYjQ24HBtsNeRJtwvYG6dcc3HYdtDQ+2Hwypo8cah/BOXtxea2yjc/bY81'
b'cq/bPXQtNLyteRiIycsa+m7NDJmIFisXbYNQNCzPyaZjMAq1BMYHMaaUoDabd8iqqkCOYoEx'
b'WaV4DkR1hDCyGLJY6bwkA+6YpyU9AMPdu3d//4cvzs/Pd3f3U68xxr29gxDCycnJvXt7y5Qk'
b'zEWCmrpVbmNPfcQ0A8wi8vDht7u7u7PZzOAuFlU+LDKPDq50k4Edg4Cvsz+uD+WKZLZZctiK'
b'if8yy/pQvIFE9LaPGMqbCQl/wuISZ5VwczkqtJ9RnGOesC6GrgvzbtbNgjCGyCidCHK2vl/0'
b'fXant+Ui9X2vKQESABEJIarC4BzqZcqSlNBlMw5hAD9mzuB/juUNvIDaOblxCQyn2hWQ7i1m'
b'71v8pAFJV+k2rt+AjdsawVjmuwkFaigacjMgQGBqhLiqvMaaBaOyov8SPYrWVl/k+nqA2XR/'
b'rDSdY/P8/3n411k+K8pkRf6r76sQEjbaweJdUMB5hbgmBjWty9k8d6SZFcceM3OJS6J0kdFJ'
b'rwM8rcR2+xLJbTBi2/1XTLmrfrXpcNmItutFa+9p4cL2GsqdVFMmk6DKnDNolRIULZbYOKM2'
b'linca7Sk7XSRjZ3c8qAWaU0QWAskmmjF4dvRnjYssdWfT4fLqj61zPRNbPrbOj78W5+1tv8Q'
b'AHLOk/a0vSOnDRsfQRCSq79J/fnm1+2eMS0otFqGz+3FyZ9X9HRS1nMFoPjyKcW2shqvLQff'
b'Vlb+3NSvdfSMtQXVTphyc+v2s6mGbVeaX21V7bPaLjyYdf3Hww2vbWd7/6S1QxliIYaXNcBf'
b'M9NqP5zMLjN4LGMXQ2DO6Wy5PDdduiYgyG5QGudWhAavcVRzm1mJ0m1cyrXyE+zu7gI4PT3d'
b'3d33xzkX0MuXL+/cuQsghGBC6IZNZCLnkARCzv3Tp08/++xnRqnkihhCtNucwevTI65XfXVp'
b'3+J1fkKPzkEoLt/1staDkFWFVpjL/1wAuNG4X7FaXvvb19y4RUZ/o03kOjVPviJH/dym0l7f'
b'3AtxV2c1VRVX4QeJgtuH+3u7s3cODw8O9nZmMUgBNK1vWXvyZMUyYblMF4vL84vF8fn5yfnF'
b'xeUySEyqBpPYOTtt9T6ZdgAAIABJREFUNmhKDBNj+08ywBuXCiwC1vJ0vr5cy1J03UyWKxXb'
b'yo5wzdI+YoAFP6SITqMaTCAwswBKifmSauE1Md+4PAl8LqQRQFXfVydrVTPNsNbtJ6uRFDUl'
b'nFYuwP/1PWfQCJfeKaaEJ75nejZiN45goHcwAAiMMAVFPS+T/0EH684J4QldaZYrSYav0eIs'
b'oaZGIRXmGTmIgBC6EGfGQZBQAKase2bYuIldfTxvu7Pc7OcCplDgtdU2++roIVY8t9dum8zD'
b'9TNygvZUla7yECcws8meOTmk3xQjTu4fKwE4CQLeILQ7IeC2/XwA/fSpa6OdYeSZxSh2tsh7'
b'bJV/KEmyVmJgrtVNG8QGQESyZrMxSdYE5FUyTRsAjVX1EADvQlUPYWzs0E6WDyPyaLT+Vxya'
b'WJlFUyRwzbzjrKX901YkMZA0tbWh24Ctx4lhgsa9fNLajX+2fTTzTLLjzG/WSNHNoz6gncw2'
b'qaRe1ya63C0SzpbZxnRNXquZUYGwWWf0WrGWK0Lya+TttfXbzOTJc0HHIDCaKsTA5eXy5enp'
b'08vL7wSLEEnMYveOyMEs3jTrLMQx9MgEhXWfZpPcJCCpBstZiIODg5cvX966cw9BNCtoh4cH'
b'zx4/WS6XXZwDNGXLLbY+UV2p7+LNt4+fznbmd+7cERHNnox51CYMXGRDDVqRNsnNMQAbJa23'
b'LdcNCf9LK+uzSqBDjpttylVyNLm+aflBRomNG9JahTpEpHDT9bW6RupPye70jHnXHezv3rz5'
b'zq2bN2/sYQZMELr/ORm7qrCAELMZMIv54AA4UNxeJFxc5ucvXx6fnB2fL1LuLZhJMMgmm9JP'
b'6P/65UfxdPpBlvNb18DRsbnsbpuUaterapN1e1ApcwygdcpEq2I+Ya6VlYpNG2ogAc1I9kmT'
b'WdbscJkcTikhqyYfgKmSgCmkBPzmUXNTtu8aURP84UYDhuhgf7BYaYSTnxgpWkL9CvohS8hs'
b'eYMcg3cNMEx06bVfcDOAqWpGztltHTYoX6/Uegwn7frrvs6Zve3PoYaSZLCKQIPjQXNwroCb'
b'bTWbTf0Nxqf4/zRDLaOGHXtutQwLJBXoru7X+kMncuxwfXJnZoZTzZqZUFEMN+sqqtUfuh2p'
b'nlGVP42NvtNzWRgywYGmpoVKQ9taUN4iEkNuMkuPg7UOlyeDWfG/hmpR1k0xFaaU4GhmlA2c'
b'4YQ1unEypCsKdCVgVFMzoUuqRjHPPklliepwDv7xzJy2v316OyCkD+eqzLHe5bKQzTOFs5FV'
b'hjGhGGFW/PBWDHdtKU7hCEDSqla4jug1tHwcqJX7iwhAAh6p5yl76poApltl+3l4EevzcFuj'
b'xjZbO/Bbd4m2j80EXun4tnXXTukiQ1YeNm2fXevUrL7lzqJELk9Pnrx48XVaPlM9jiHFwKyy'
b's3M7zm5ZiJB9UMwNof7fKA9LKzMDqGwoYODh4f7jx49y38cw63OOnezu7i1zSinNd/aGGMuS'
b'gduGDARjXSIiVuwk33777d27d+fz3T4nY7DawQH6j/kfVye2tRaAyYjX+6Z2iJWBpsegXMXz'
b'4DtFCdWyIh1yQ1TDn0X332wiKyfZOjIwMdAo1CI/aRRAJQFOelncvqxRxZUahu2RhInVOTiR'
b'6jatTEz1r9TJDaxaxwb0D+9IWBQVinE1q0GUIg5KDChZjWDFv5PFxxmZqiGEILBl6qIcHezf'
b'u3v77u2jvVkZozYEpDkCvBHeIRqgCpHxBgKqGkVyzrMQZhGHB+HuwW3F7bMFnr46fvL8+OT8'
b'IgOQrleELgaJfZ8BxBALCTTVzII/L5ehUNUrJyPaN/5ntjj96KXh5PZ9cJIfqoE+7bmOtT+9'
b'TPfcNeS38eC30UtiLFIUTyMZ1Eq7m5od0rWaJE3ZNKHmTCU5OAlMKjLPxlV3w/XTxVaDC8tt'
b'qgAphkrYH0Sy76cwAixetwYoaQahkOO8MveFJtkvl33SbGoMsXMKcNOcHXw4lDFkjzmLjCLQ'
b'lB1um9ksSpBOJFCEMGoGMgFFx0JLBF9YTtyTAaWYJd/CWaJ41WUPD7wxM8BJ3M3zzfjx7Xmc'
b'XHogAanhno1ThIiYQSQqSZo49YUvOolWlX/QXB4PFObTK9WrV5XVOeaIa/jsExcQY9kYPVaE'
b'Qnhog2p5LTQAGdnM2h11ZZ4XarLyZ5njMLMMyzQt2RjUdYQ5CGiSs0oczGviTAfrnWUTitdC'
b'RtJrgzRrZ10MAGBk5fIp4zC5ozLZNbF2QyVGlFYNbJsDdB2DAP2hUiJKamv9rLYCEoe9gkAo'
b'e+d0tVb156gGK/3102V0yqYRhpzVWUpgdP9PBgqpNJi6C7QCgSwzsKbNKruQlb3AiEAztcyS'
b'W5cUgdsQxNQyHa1q5bmCW1DG9Niej8m3FELcq3t8fch+nrn3vbhrA+lMFVJC4xhC5zn2AIpE'
b'R/yBFlw4ZzQGhVOpWiCzaiRyvzQrhALta/dmAkiKGCOo2ZCKUGRm4w8m2+/KZFvZt4MNiGR8'
b'hnlQtL9nUopE4PNzbMmIv1UHZFhgQ85W1BxDbunyBA6zkSwGxVI0+7dazQ0oKpTysNT3Xdf1'
b'TpcZ4jbQP9DCDl0ePzvicnZBVVNNxRelRHIBkECCQU1igDoXVhbLy8WLp49+d/Lqq8M92vJE'
b'uVTRbr6jmlLuL5Wz/fumc0gANaMHYMiWBRBkz/2mw6ELCSJud7Ubh4fB7NXzJ3fuvR8Y+mXe'
b'2T008HKx2D8QQMyo2pMmTvCwEuxdQaCAlO+ef7dcLt97772kWTMQjK4KafaQAKrqMDOGWrDO'
b'AmSNdmFNGHibwhp9aFXL8lqh+S+quIkeqP7pAFDiO0iFiVFla3c2RT9/n2JtfN01bjfzk6Ki'
b'f9ZWgbSUUhBECUUyrgSFqikG5qxdEOZFoHzy8Qfv3r79zkEIfngAZkqzIMEc7AMK+GqOBY0V'
b'0rk+I4TxwSR8xyfgWfRg0JxFRMi9OT6+d+ODezeOL/Dk6fMnL18GYZ96EwsSV6JMTDxNp1kW'
b'SAglh6L+OGrvf6rFiQj+hPa3awG7a5Ry0lxZ4USzdYU70dWtar8tKqlVwZuG1QRMDmqHE9fx'
b'n+eFtaILMFPjcpl60xBMEZL1l5fnfd+rKgOKAGAmIrPY7e/sz7qOxpyTZpfJZ0YTFr8cI2IF'
b'YnVBa/FKMporVhpzq7vH18EpmmC6uTqvqGCKJDysLSkaDQBgNieVFCncFBiCnlf0DoAoVCq0'
b'MsticZ3FdRzS7xEx4gcqXfyr+AVV1eIwSjzwesvcX3njDapo60cjneYqRztXKs1Us6pUaljA'
b'pFI6vlmnJoitNsyflrEqD7N672zoS/Wbb7qWB5XT+hPXUVTp9dorawHA+ri9RTEr4qFDGa88'
b'V8TmB8FAd9Ry+aMZpY3zp4hGVJoARqh6uIv60QBoHiKJKWZCz+yVs3NilTaEEDxLRjsfzEwt'
b'TTDo2mcON8NErQ61FQiBcuStcFHQQMuA6BiROz3FSPZ9D0jXdaenpyixc8xZzbKzgtHEmGli'
b'VLeItVcEwYgSvTPNT2Kr/+mwxU1my/Bh3e5aJ0m21VwpvqFG6cyFOniO8fJvrCx/VogETav9'
b'wZfaMvWmVnPGTZsxLAZrXt9EoePCm5khZ1XNxSPfRJyOtYgsPt8IWN93hGBx/OzhyXcPBRfL'
b'80VenEem3f25XZ7sHc0XenL8Kh/GvTg7UBOzPqWEjCBODKFMZmFgAwjuQerJG5ktQo6Obp6c'
b'nNy5kxZ9NpFsNt/bv7xcAki9kmZBITkl99YigOq4pQCCK35Uj4+PDw4Ouq7LyVBjZtaX5sbV'
b'ausWgMnXPwxQH07TK4wJf6mldfUxiiselYCI6zDacjXUsnpyfx+QRHK07W65oT7CMBiOzG2Q'
b'1X/JAORZF6A5pWQEJRrMra4ALOVIHHThowef3L97a3dWWJo5UP9RjJYMQvaGyx7ni3Rxuby4'
b'OLu8uOj7pRueEuCsnqQJbHd3d29nt+u6/f39/d04D+50CMagGM5SdMCtXRx9dPvj928/fPry'
b'yXevFikhhj71yiwS/aATBoEaQmZ2RWYzo17vFvLPV/f/msLG3DToh4bydpNz2/5y5Y+KevaN'
b'HjRRoA7lmj+/Wp1hZrDC6KIY9KYgi36vxK35EitmAQIlu6dWoUUY/aDNOXsumJzz2cX50+ff'
b'vjx5lqwPXURwXkcIws2Do/duvvvO/o0OYln6ZTKjSAgxStFNs57NoBip0AQrmjORwkbPkfJC'
b'AAtUA5KRhJtCFOI2AQBSxAY/AX1j887qoF9etQCNQ22sB/UIyN545rydDDC8qfrocmF4qSXz'
b'JdQquYrzPZqbT22sYVIlhuqGEGnAjFkLBYhHaqoz/yBrgJmw0ShP/ajevFPtvy3KaRs7mcOy'
b'9tuVCjddXx/5FloNZaNwMsG+61rCbe/Up1dJS1diE93VjeXr1RW93oymx1Y0ayaNXm6lg3WN'
b'ju1UHQZ2vHNwkBi7rzrkxBiCDYZ/rSbBmYgi7os43Db675W+u7nAQxoCqyW/hQRUC5xKa8Mj'
b'aDabzfq+h2ZojjGq5l7d8amI8yzns4uiYtAS3ON7gzXSutUdxRUK3KY9qXvOOAhlZFNeiZYs'
b'A04lqbZy+rozUZ/VBQBIiaoSEII+aU1frWQwQaAAKiH2aRlCB9UgsYYeUUoD2vXgr9smb6p8'
b'G3z03fMCYuKuOSllQVFqdCI555yWmntL2TSpaODFi+cPL05f3DgMmjJN5rOd5XIRZ2FxeXZp'
b'C8YOtugik4lq7GJgcKtq9PZkqBvdRSxIzKp933ddIClhfvvu/S+++K1SQzQTDTEeHR0dvzr+'
b'4H0RWuhCMkspMYcgMiwMAJ5zyQFZv1i+evXq/vsfxjBbWO/JqyevUDYvxzKB4/fZha9XVjYI'
b'l9F//If+4MWV3AJXyZiUaErfu+oOPaznWt5AVf8GTSGxKbXCem2sSzFTDKKFpE8JTctFjFFE'
b'JAZ3/jE/zVLqiJ1OPnzvvQf3392fryRtcf9nBwvLBV68On787PnFcnl60S9Szq6WAEAVxpQS'
b'YzRkVRUi0E4vlpq/82eFEObz+d1bt/d253duHu501SkEMEOgBTJEfHr/6P27Rw+fHj9+9iqE'
b'mIBlXjDM1aCq8HBNxmxqrk7IbzDs/wJLi/4nX/3JluTqg95YCzDBRttrHq2Or2vDpIyMnyWn'
b'NUdKnVb8aD64zty3NsnuuAn/FwD6Ph8fHz96/O2j518mLMOsMyEYoIyMF0f39md7O7GLsz1z'
b'GmegcG4ZgmnRL/sxX7graJV50iN16MQT1c7aynhtZ9cRG0fXmhG+THysSwBQJWAFUIIWWIbL'
b'zMbI4CutMW15i4Ogkfes2QZHmOLTo0/JzHLOgwCgFTJOKrRBWbgSCaCAqLsVZclZB9hnZmYK'
b'y9Yq1y2L4yh7ixldbRrbcfn45+rMH8eiPY9sHI325q11tri/fpzU0y66SSXrgsHWbrbNHhVV'
b'G3Db5HFY27gm9zfwaMPoG/LAxd7Wb02yvPYr1TEobqUZJmZpHCqsjNJkwNu+tNfXWjf4A6tt'
b'8k8bR0k15xxjvH37tgRon7qdeZ/UUBLojJB+YFadjG/TEdCpB9Q/ZzdRFJ+90T6wDWZsvO4b'
b'pgJiMrl/FbOvNodarBbDBQMgqinGmQ6vO4iZRTezNW0oIkH9+bSj9enNXwAg1fEhgKb54vTk'
b'xdn5xflpf3Ge+kvLiy4sl4uTeUfTpMu8E7uc+hCQc744Pj64+d6L04tbd2ZHR0e9zhwDSnGe'
b'o5GG7GrQEGIXd0Wk7/vLy/POC2VntvPw4ddEuHPn1jIpg1Di705+vbe/E9CFEJY59v3Mvf1D'
b'iI3JpfQidvLtw0c7OzsffvhhCGHGnTZueOzp9nVpV1sA/OeTgXuLMryS1vuffL2O9scprfXt'
b'Oqzww7dVg+5KokKn4aqv0iuuqmp+zFKi7a+8p35rBMQViQIQStP5fK6qNYxLRSRAkZY7QT94'
b'9+6nDz7anzHCVQAGoatclsDZpX734vjRk6enr06NQUUVyAzoOoMokA1Cy9kYZjXVBYVMmjT1'
b'd2/f2d2bP3v+ok96fpm+evTUTIPIjYP9OzcP7966ebADqU6nNHZADPjs/o07RzcePvnu2asT'
b'oDNkxGCKBECF7ubJnCyJs7X805Iu/4TlrVH+tmN+OAjfoCopgU1NqSby1TIE3K78XEeP6tqG'
b't7cl2qryckV8Zw01qCe6iwFSYn9d326u1gJNKnOGUEIIMbLrOoMwBKTelDnnvu+XuIzIJgEM'
b'quiQF8sLQ1ao1TgpV3PSIDChq3UCx6zabqEganBYwSNrwJscqdgnn61USs8QplqCmBz9lwAy'
b'AKqowdYhBBGBcHNql1K+l9/jdpFAzcCiXRsgaR780Fn5YSwnVe2X7lRdGdbX5qgVfuGVK83n'
b'7NEFymhgr1k1mWWImGZQUbDjVmD9FmWoYfjQoOSK/ldBsFlhmS098g+tGLCGTX3trGAFuiBn'
b'gIef2AT6b+vjNbrsAuH4d2X1aWs2VZWu0tpOK5VBzFnt+HjHxjlDcvB8QxVrfDSKW5HSrLgA'
b'qTZe4zIItMwmo6iQRyoVT6QxjOkgSyCX/1ivsBZU0RqNhDx8aGoGACvuuqMGwSynlAMt0EQQ'
b'Q0iq5ycnxlhcbqSoBNy9JlDUQUr9VkD35jMWAcC3luEzqLA8XGGNZ90oU2ENao+aBQBjxoai'
b'1mNhFKiKYICl0XTVgnEk+xJQFTEGMhDGUBJj5Zxp6poRH5NheC0TaFPlrrSKa1d8CVBNQNBM'
b'NS2Wi7PTvFhovjDtFeeqPcmz0wvNi9mN/a6LKS92426HsFjI5QWD7AVERXAUYhJMlQDFsodp'
b'S4hhJsX3P9MyLUYRoXRhdvPGzefPX9y6/V7KCeDB/jskU0qznU41mzJIp6oiQUQQpOkCkDWG'
b'2bdPHr9z82g+n+ecNxH7AoA1jE+T4SEZv/+2dc3CUc/0T6+0YyRQQIM5VaW6bO77ge+cZlf4'
b'vtYKrxz2t1CMbX5KxQm15RjibXLOIQRTAREEaXkZRW7e2P38wQd3bx4GwpKWOSdMQMp48vLV'
b'N4+fPX95ssgIMmPcU1W1XglFGIgcBMiqlEARj1+XiD6nTuKtmzc//ezD4+Ozd45u/d3f/wNC'
b'WPQ5zncAe3VxeXx69sdH3966cfju3VtHN/Y6YSBQ/Cfxzi4OPr519HL/22cnr84uUw6UrpNZ'
b'UkuaRUgxDy/4/uP2U/nLLa2Xbdnv3uyNb5NkNpZydnMUA9qvAA8PcKVPOWnMjLQYgqrNu5kR'
b'FCHnN985fH/xXpjnjCVDgBCQnKyjvHP4zsHe/s5sLgKlhUDAJECgQtJABoU51aYHq5Iec0iA'
b'QDYKWlBYW2irdoAN7a/OGIPWn6CIuC+p3wchnTsFATVSaDJKP9QxcvV7Gd6dwytHk+3FnHPu'
b'+5zzIAC06J+r7DFsFJyrnfJ71CgZmaT2vWkWTRTAbACUTYNH1PjWfW/enaOaAPRFsjOjWAuF'
b'x7ZeIxHeBBa0jW+kqXJ6XYH4v3/xClUhUoLszQrjoa26HE/Ej4kMc0X9k2/Jqb5g5eZqAWBz'
b'ZaAcbWtAiYPf/GhrMvUOv6r+KkObV/4sXnONs9Nk7owYrtIVpJSEePHy5Ze/++2vf/3r88Xl'
b'oNqbDMvGlY5NSpbhnra/G79t77FNuw1Jz57rrDUONz03Vqh03gPxgjsbd9INNburi0ikjffH'
b'WQeJoYvvHB398pe/rPNksAGuNHJdFbX+voaWkxQh4RoDFdNASTnBctcFzZI1GrvMTqFLC6lP'
b'gjl1lq1bLvDO0Ye37zzI5TyCmZX4QzGpgq4ZVFUsQ7RjtpiDXIploQhw69beH776ZrH4lDKD'
b'YRbns9ns+Ph4f/fALPm6FgkkbRpmSpIXFxfHx8effPKJqjIGF93XJ+224t9eZQHYJvm9UXEd'
b'nmHU/f/gj/hhyhYu/3bBeHqdACVU6HuEe9Y6oUfRW6OR7FG3pPpanLHgqoa8yZhssGBMdkxd'
b'8d/RkrERAEQtKJQKat6L8sG9W3/12Uc7HnRokCgZUGCp+Obxi0ffPn55etabIMZk2qtGCWro'
b'QlRTy+rIwCPoARWIalIIJRglWwohdDvzi4vLZ98+/PTzXwRBrzrf21/2ORliECFy1scvTp8f'
b'nx3s77539867t/ciSwyxMw7dP5q/sz//6tHz7477y141qgTRDEMWhrh9g/6prJf1PWJ99Dbs'
b'I80aeZ0c6wElG+5hZZsWuwq+bD9uOViVV87UK+q6qjbbGNMmVlKdDz+T+hXGD+rKLFfkWT2M'
b'A4ywnUgFIdLFWZQbO/Pw7t1bGVkCSJrS6bBm3c7B/v7efJcGAWOgGGYRQUwgAUwkDIZIz0dL'
b'mgkpo2clAD8lCtZXxxUspKAFmArM0wLY+Ev/dxzJ7dazssArbnOdzoZf8M1jYZtSdqdGwCvF'
b'z1lVJU1VWRe7WfHCN82Wc05elhjwbuW/z54lE3DdsMFzL2nz3LYbTpBEmDIn5iXzEszQQifZ'
b'wsqCVvVNpVGYKdmyqV21pup8g9ko+VSZ02vYcCJsEdgMAC0X53u4YLP90UVZv3oR1C0a4o34'
b'Y8DbqTiF+kRSEaZWamXRfLdSypVbjcCdQauLzrb2NK9MqigyxgAU8J+zcwFV0qFG5rxSd8Bq'
b'KPNgg1Dh8gSXbxyu2gb1hrXLJ8NAiCHnvDOfffvs2f/5n/+P58+exDgQbb2mbJSdJr3YmHjr'
b'it9e8dIHElHaVCfdymF+XTh9Clk2rYE0ZpGyAe++f/+D9+8dHNwwSE1LWtizbIg6GKiaBzV/'
b'A8PKKmMAYO5aBCWsQm3puqjzeH6WlymThMxCN+tkdn726tHTs5s3D8/OFzs9KHG2c/P+g39t'
b'2NNccK0prY2ZrryXNIuSZxEJi8vzZ8vLk3PtO+nMIBYXl8+XFy93D24pKcK9vb2XL47v3/vI'
b'FGa9mYWZDJRPaHRMQj59+nRv9+DG4VF21b6V/L8b33tpWDsaJNYFgHUpcKNc9aZl27z/J1UU'
b'QECO1hM6o2VDgmUjyAFnX0fqertv36iU9w1R9/yx4vlTvxcDNecuRuTlXhc+/9lHH927Mbj7'
b'u/NDr/jm8cuvvnl8enGZzCzMITQlYyCDqkHYq4qELhIMZhmaA4xkRiIYGLJnoo4xW376/Nn7'
b'd49+9atf/MNvv1JVSuz7XhUhzkDrFUJKkEx7cXp5dvHo62/jg/ffvXO00xEozLrY7/CLB7cf'
b'PksPn744vrwIYR7ETf9THedPZWPZdgb8SGX9FJx8u1HquP7Nb1euas/6RXO3tA3XJypfd9VX'
b'01kXAHQSMkqinFm3s78zy/YOAA9Zs6zF2UZIhq7rLGugUCOBEBhcPyhGMhVbbgn3G9yFxY8y'
b'Ut1AsKqTQxEOYE1uTlZNZCsGtDCLbfyimXnAsAiCTHbybWcDSfshcvZNVrQf/D5oo8q2KY7n'
b'cu4n77dq0SqJa8PS7aHMZpvdlkgKlNpLXogtoUIN9CwlLUgiTWicsEVdv4+rTV3V0wMYRn0C'
b'+ukeqJsgfvmA8Z22FQ71DH+uwrOhYddVKF6zSAyi6iIYgzgCF5ES2liLNeycw+SctHMdsLZT'
b'Yt0U40vbzNrgDXcBslzQ/1BzkXWrkOBy5WgWqxUOn4dYgrasd39FW+EuMUX4eo3XnFfYXy7M'
b'8sX5aRckxoCsvkyrlYtwEs9B8h0XaP1c4NxAkFWum7C5n2YK1yM0VgusrPsNhUR17Z7eoKoD'
b'RZXW+Vw1CBPXFIOZE5W7ODHbnyfVVy+evnr5/PDwnZWtbJgVGCf5sCetbwKlwyQCoaZAAGOM'
b's9ms25lnXfZLxFm3SJDQhTifz7sb83uLxcVXX321f+t+3L9MKe/s3/zlL//t/v67y+QJGY0I'
b'VWZTM/e6qLMtK4Mh9aevHn778B/Js0V/HCk5ce/GHejpcvlyXw5zL7Iz39/ff/LkSc7ZAyoh'
b'bCPLJ/Pp2bNnN2/eDCGYWUopxBkB0zdbpBtoQJtxHA6Gzb7y18FbG99B83V7QvxZnTe2ZbQx'
b'12xb6vt5JFP/7p2D9+8dzQMuFnj8/PTh0+eMOwD8UBHxJNJTfeRW1OWEAH60ly3ePRe3tHPV'
b'UjF5O+1TylCXN2gwNbNCcEYBLIZg/eWdG4f/6vOPb+5F9/gD6SzrT18tfv37Pzx/dcpurtKp'
b'QiRAzSzDQNFcMrnUzdQScuqiHB0eHhzuPX/x6uT0jF3nihU3juSkL1+dnJ6G7168UqMaJYgB'
b'nobSyYIymM0CQ4JY5m/++O23z+Yf3r9z56CL7msNiOL9O3F//+4XXz85vVgYA8x9JKiaRKRS'
b'nf6TizX/U5Rtw9IeTsMVbZRe25F6W2HjqlivtRvFBJ5W/hxgdcq3+482h0SLTacQQaqmZHt3'
b'hn8nca4NnKr5tJz13+q3jRHWWTZgMJiIWI3IGfoehGY6izCRbJo9TwihSqAzs+DHaqigQQhP'
b'4EKR6FH0RijFRJCZM4IJcnkA1YxuYk5LyymGAFWJXZ/VVdsD6Ac8zVDpRdFo0ihmqhSjyeCp'
b'jHIwOyYLg2IMDFoTT4qIFYZNmlZ8MGxh07IhiS+2T6fmoq3d7KwjK9kxVdWcrpFlPqSUHP1T'
b'zQ0kVuMmQuyCdCQHMkfkXEbEnMh1FYeZEBAqc54FfXD/zgfvvfv85cuXZ8tspiYwQZNCyxTr'
b'R9gEEfpoDNrWifeO27XMUjs4w2/rDlnwIkl/ul/x7CjDS3RnlYasHS2LIkk6m/7qILPwu1d0'
b'1bxUNR2geds8ytSa1Pa06LOLEhPu9SMx5L73vuSawkWsGJiGGmrA+Si3eIwDiRBCSsuB/Z1q'
b'QiJ4GoHSsJyzCAZqf1sbUjRbxLAnzGJM0GGHEWHOWWFGrIjE66hGpIQ2iZAjd1CGmdCDd01B'
b'BiNUNQhEoqsAnN/R15CnV2vnT/nXDECMMYQwm8WcSM0kTBNJQVDLxadfYchEMOSJl78hU2JN'
b'3WtaDEpCT3/GH4ngAAAgAElEQVRS7A/ZnfA9vBY6AIxmk1ydM8OsEHFv6OyJbNvxKQMyxlcU'
b'gGRqNWB5fB0i1GyB0qtKoCWNwj7nr7788oMPf+bym4iTQa1sI3XiBRg80aLYODOHxVZmDgEw'
b'm5opYpjv72b0sZ+ny4u4sx9jlBB2D/fu3Lmzs7PzwYP/7tWrVyJydOvm3sGNbrZ7uQRDST5C'
b'8yQAROtxLaHXfhYD82LRv/hvf/s3+7tpfw9nZ0/CnLs7u2lxeefmEfIZtBfuaJ9v3Dj46qsv'
b'FulMpEs9ZrNO3LPZ3NyRUQlY++Xy+fPnn3zySd/3CKGupiyrUfITPL9eNrgAvRbTt8V+KKrQ'
b'v9RStlEgBDFN+7Nw/87RQYQA3Q66+wfL1D89XrrJSxvp8y0edJ2Rr2+0/DlKh3UJTbY29S02'
b'jH6r2TRKDCLWX3703p1/9fMP54JQNItMwEWPL79+9PuvH/YMYXcvq0OvHChJF13X9f2Cwgim'
b'rF2Iy8ViPp8HQVbbm89//tmD41fHd3/+2d/+t384WywosYuznHsCqnp+fvn+++/P5rvni4WD'
b'pxjYp14kepyfkSIRItmYsnVdd9LrF398dHzj4MH9W3OBZoQAAY528avP7v32D89fnfYJCDLr'
b'NcfoYS3j+SrNpvNT+THKjzS227BjPWycd2/IvLhB5N5Ww1ULTQ3Nt0Qgs1P6jefTqutRubFe'
b'rEl5zQB1VmgXYAgjkaXSIOgIZx2nNiiKQYEgAlgiQebBfGvIAmSlQOdEmIkuLzvhxeUiSGcI'
b'61jczBzQ07Mp1Wg8M9M86jvb12jgGFVWBzyEAIkikocX4UF03GAfmShUrjlJriO0txi0haQr'
b'UFuGe0iSMcYwcwdlVTEztQSDmWfXTRUfTxmWg2kU+9//03/8T//bf4jEq1P8X3/z//zf/+Vv'
b'wQDMKkb9YY5ArkZrtKWaGVYA60o7Q+MKUjQ/JY001gZ/faWgGU+sfTX+as2at17z8GF8QSjK'
b'9WS2283aESObadY8wmfURHAaai4eICPV5qgGpjuRr/Vi26Sq09jMTLAhnGJoIdRCCNYnt7T5'
b'z1ClpgHurje4fY9WjFEr5iNS1EwtkR3W2jm0XIic86wLUQI1e3YonylScLr7oLmZLBs9rRsD'
b'zUSophTStO4xEVCKGEwkwJSBairB7xQDIAhuBBOFc/VY/ezZFsRYsgcLhAa62SRAmthTsmR0'
b'HhQTVjQGpgJ4HhUqjFLNhhQDLQQxEpYNAs1PHz8pJLIkSdU8ZIZeH7dtO4mbbRWmpuIGk2Ch'
b'i3G2M899Wh7u9CnGvW6+E0LY3d2dzY5i2Dk6unl6ITdu3Di6dWuZU59dAaKeZ6PYE0kJkMYZ'
b'JIRAs67DH774IvUnfegvUr8bGSVrf9ztHC7Syavjb/YO7852dtSs6zoA5+enO3s3JHasgb8N'
b'zDMXfp48eTKfz/f392OMvaqZlTjg15mSJiWu8uFgMnGHnpDcxpnjC+GKPXCyGgeBcuOx8eMX'
b'3fJ5WsrsEZhqYBADLO/u7BzO0AGqCIIdwbyL1AtGOtd229cr9p2rnvjmpR5dAFZeBIF5DH1a'
b'0ALIMOuWyzTrdnJaEvrg/Xt//en7OwIBctIQJQGPn5/+9suvXpyecb6bktoyhVmXF8t5N0Na'
b'BEvBON+ZXy4WWRBC7HOa7+4tFhcxcBbCfKcD8OjRo89/eaOTMI/o1TRlEXYSYPnZs+92dvb+'
b'+q9//vf/+PvTswvAVLXrujLHijqBSU0YKOzNVJkRvvnu7OQiPbh/59a+GEBFEOwLfvWz27/+'
b'8vmzVxeGWFIya/IIM12Vg38qP2DZNKQbdP9X3r/h23VkcxUiNGn3qDbqBigwSLk17m1j4aql'
b'tT5azMNnKtH1IHJDSBaHUk8OmgvrVmnSoHuiyRD+45z0WhK8eo7h4jtS9OnVoCc0IRQaWFGI'
b'f6G5i+Ti9L07R3du3jXi9189OlmmcxMwJPMceTCrRozGNLwKlTeMwNi7sr0TlQE0sgQBYONh'
b'YZhcuT7uxwgXOEC6yW0tBm2MTwpPAuzk7d4r0jWgQ49ERGJXFLqAGp1G2IO5PKuB8w+WZxE0'
b'DcSvfvHz//i//oeOQMbBLv6X//nfffX1N18/eYGa5LiMGGHcYMXa1tlrltWb1RqNpnjyt2bd'
b'DcB0ANkT1O4wdzKk2LQArZESzIp/8RUwerJO289kqMivELMOUb+ogD4ED27PIAa/ADPLMJKh'
b'cAFtaK2IWGHdRQZC6BqioS1TfLXlgwDgG0YZaC0MWBhWBMUoIYSUSoAmWVT7g/Tlu02GiUcy'
b'EGSo+4HU8Q2G3h9BQ5Dgrcg5x7jS1OKmXkYjA8g5z+fzvb290+MXtWECdxUkRgcfmLn5hqT7'
b'MZEDMm31F1KieAiaEBRPY25+3Yp4YQF0Viyls7eZeE9ABIpJBgJC9T8sPUXRKiqaiAgfJRTd'
b'gQbvKIoKxaoKlUI1FSmpBRkYTJ48+fby8jLu7Ac3NKgO85XNVK+vVoYX6l95aLJbBgqZAl0t'
b'IzHMbMcATct+v7fZ7o1uvhdCiDGGuM8gIvLyxavY7Rwxuo0OgJiltDSzXFUkuTCtV/8ls6TL'
b'i4vz05NXpunk1XF3uKdLzML8oj8PXZrNcH72tO+Pd3ZuqXazbq/r5i9Pjt/d3Q8xQlzI9Ik/'
b'mOYMsNPT01u3blUOK40x5rqsrzgx17/aGgS8LkOvX9x289pXG073N9oE//Rldf9iCCEtFl2Q'
b'+XxOgNBAydlCYKBJQACTu/O6BFZCHN/mcVeXZhJMG7nxfs19F6Ibx2OczWKnuY/Qzx588MsH'
b'dzqAngE8ysLwuy+//cM3j3swyyxnYzejSc5JaOnyYj4Lh/v7n3766c5O+ObR028eP8lmEkVT'
b'P+9m/fISMbx48eLlzaP/8b//5Rd/eH58dkrp4myeUmJGzjkQAL788gu1n/3rf/2z//pff9cn'
b'NUpWFRHVDIiEwEBBMBGKBKG6/6DwxXm6/PLh/TtHD949iFLoBmfAX31y+3ffnD58ctLN5qq5'
b'IhjzQ39C6fAvrdiqtu/P0oDX33DdJoozRWAVBLzpy72iSTZuV+VOG+DPgPYGwFqUsn7NE+Ao'
b'QTOo5wUriF8caprb4YRqNKoChMeTIsCsiBA2tsQphg1CKJVKZ/GigRJi7j9699a//zf3ApAU'
b'P/vg07/5fx999XKRRww9oPjCUOrj1A6WSKtBL10mCW20udWSNkArup5ViyVgWmkzmNch5L3i'
b'WNkoA6x/9jU+kH6aZbI6k9AAYyE7QE6Ws6mqwTQ73vcUUZMMx6WklP79//Tv5gJkzAICsATu'
b'3Lr56Ml3RKGy3Xg4tnvOVULslo63LuVwZFxIPhsjwDa5uNXoI0xA88aRvPridYptsg+gmVfl'
b'T6VBg4gHa6wPkVmlPLFyneTgiT7w8Ky63GOoRFZfxLpkAmB4xdfamjCaIjwYoGwJxSSYK3YP'
b'Kz9ZrZmkVZnZpWtDwed1+TgJMMQKh+5knhNimgHEGI+Ojp58+02kQERrpDpZMHtJWFHAr5V4'
b'/FX5f6ANdb9ZOgtqM5lHfUH2jcfT67ifkJpBoSQzDQnZBwGJ5MAS1rj1Gz0Cp75QlASLhPsp'
b'eTiNugTjTVWRWAc9UyJMY4xnZ2fffffdex8eauqHvkz4GyZn/UBG5MWHlwBBrXG6QDaRIN1s'
b'Zos4m+8e7O4exp39EDqS4pYShlcnx918dvfdd8FAg6aFqnpmd+9XoIgFMkLgkmHKSUJYnPfL'
b'vp/Pdl+cPHtlF6b9bPeo6/YZwnxn1pu8On5+cPDAzCTI7u7+yctX9+/fZ+FhLn5lwyZDIuf8'
b'8uXLjz/+eHW+BdUsNZH7FfO5LVsFgG2b2jqav+bpy9bA/ReFxrZ5/wMAfNXVhDIohnIqCDox'
b'm8FvyIrZbJbymgmmMP/8QF2+srXrxa2lZhbjDGohmPUXn3/6yS8e3AmVbNzIy4y//80fH3/3'
b'amGSGRGoEM0GWMcQAoJkpMXtd+5YuvjHv/vjv/0ffnX/3l0DMvHHr548ffp0LhE5A/z664eH'
b'h+/8/o9fz+Y7yaRPCYB0Yv1if28PlhcLffzwG839L3/+2T/85rcXF5ex6zxm0DU6IDWrj3ZK'
b'eTabpWyLnKPMzlL65tlpSvrg/o25lO1CiAfvHYQQ/vjtM4ZZCAGwnJNIFCBPSK//5ZVySL75'
b'CEyPMRkP27qEfTY27gdvGISkqzDmClHNs4hIUbWz1Sxc9ykEiG2sGcNOqoA5f4PDbxsrCU4L'
b'5KZ8MQKa/YwxCmDgcM6BGYWIRwFVU7Pisp69WjOzqnVGrPl+AwxBSBM3DLj85uYx84B+LTTa'
b'OX3+4N4cYMZOwBz4/Gf3v/ovX6gHLHvTy3unWzJRAvscJxjMo5utJg3yvcJP6Gb/r04pzVm7'
b'osppZ4WtSpxXHEVvBIuHm6dapIoBVdWqAWC4p22JKTWQIborlqmnIKUZEITjvA1DD0l2AblP'
b'Rc2uFoQCzGfdKHaaSSVtH9iWNrb82t2UKxIprOLsMeSxPVgDxgQRrC4BbGqYVHitVrX3X+Mo'
b'8147N0blc4E5p2r1slPVUN2XV3+sDghtQMzOZV9rBkCGQuVUx6G6SE3nVRmu7e10+aK5phWh'
b'Dua4UQc/BMyklIJICOQqtyyKDBMnV3zr5DiG5cHltzK8CPNk3fCr8MlaHh1IMty6dctbrmY5'
b'O83Y1viEyTgAyDAxqDoanq6ptelRGaJG6WX8PIJAd2ryn7s6vEYiFXmEwwobXpAPWtGkFO2D'
b'ExGDMKqR6q4WVDUCWftHjx69/+DjJUxNOwmoMqGtsRjVDoiizKhQ8yoonRPFymlgAqpIMIkS'
b'5rN5nO3udbO5CyFerVrfp8tlfxE7U2Xq1bKkvtdcvAcJEemMyDQhJQqARVogMMx3KPPdvZvH'
b'Jy8vlovLxcXsZPe9D25D0rOXx5Cdo27Hx0Fz3tvb+eabpwAIoYlVC8bQEpKLxQLUW7ePyrbs'
b'oTsStfFf3Qjg18vWIODJbFivyK7j/W8rLpV/ieh/U2nWQBn0lFKIwSwlzeLyrarz77ps4FuP'
b'Ibfb8fWh0PUPifYFXWcko4ScssTO0bIulz9/8OEvHtwNAE1BUfDVef+3v/niu5PLBIEECSEb'
b'zdXuIFSzZaERePbiuw8+uP/JJ588fXz6+6/+YMr9wxs//8WHtPz8+fMY43K5nM1mahAJGcyq'
b'IQTT1AXcvXXnow/fF8OjR4/++PDR48ePP3pwr+tizjNX8ccaaGlqQUiRQCLM0iKpUOIMJhZk'
b'oenrp6+Wy8uff3yvY9mb5wHv396FHv3x2as+WQiB9Yzx4Llrv4qfSil/MpHptZOfDQ3IoG4R'
b'GZNdelDd9y+r2HW8CLPstnE0x56pkR64ZwbLIEuYllIJ8eSx5jGnxj7pcrnsk5o7oHvN1WBV'
b'YlfMRKTruq6Ls0CK0QY8WvJ6Z9dAmO103Y19RCAQUJhgJ0JcXVlzpZm5+r7kd1qjKoHaeMAM'
b'F4eOD0JRHfPoiM3HnBV1kcyN+hDFyv/Gg79+cSJdVIeFsbS/qp9d6q9MfCWvKD2dkJEQkZxV'
b'JVsClQZVZyX3oWj4FUCCT548MSAGh0F0h5FiEYKi8IFe1/X2Opu244kpxlqTeOt72TB6NkR6'
b'rg7q+sk++erqlXhdaWEVhjaziCbo+56xE2lTblWX8ZV+TZWP7bNL+K9ntmosAOtDNE4SrsF0'
b'Q66u/97q4dtKMFCeOzQpxrhYLNpXY2Z18VYv3CY4e33QSnvoCbnGFm4c23KZYpohgTCzdHh4'
b'WA3mRTazTXqT1ZkzwndzyxUhBlsVADbU445MBnMwMIQZq6m7zxFS85Bb1cf7eohN4jNfu3Tl'
b'qY1DNzI6jJmLK5WCxy+XKuA56h4/fmRm7vrSDNHIc9DuCdVC60kaxyB4MV/LjVLMnEmWpMRZ'
b'180jAwdKJFQb49nlGYCU+pL5PaulnC1RjdIplMlM1CzkbCKIXQczMN66+/7zx78XOXhxcX6w'
b'fySzd45PgYBsu0u107PlnXuBZJ/63fne5eXSkkkkWHYbNMuTlLOzsxjj7u5uv8wkJYSWA2Dj'
b'LNp2fbMFYH0ebJxh1y5Dy7bV8KfHZ9tyQE5HKoC5ulRmRTYqYEZKVK9FKCKBQZmdJoxrxlmu'
b'UThtLNfZgrf9cOVXA7cSNWcjQ6D0l4vdLr577/avPr0fgQAFkYHvTs//9tdfvjrve0QIhWZp'
b'IQyBLLoJgYF9SjF0C+Xf/eb3wnh8fNL3GgIvnz9N6fIXv/w5iWfPnzCgz6koY1xqT8t7t25+'
b'+uD9G7v86suvF73ee/f+N4+e3rhxwwwpZVXNqpYXOzs7XdflbDn3JgGqOUsM8yghU2Di9ENA'
b'RLQXp8t//OLxZx+9uz8vs2e/w0fvHZ4lPDs+rwQRxWTW7gjAtdwSfip/rmKNjnNyhmE8iYMn'
b'ox0OznaJ1a1weu5e66HEkNsvmS5z6vsEUUiEFO//9ociooO61U8jhdFUl0qomSpStpzz+WJ5'
b'dnZ2dnaSUrKUOXj5i4QudnGeTM0Yoxzu7d84PNzbkRhlWTZHBaDMYhBVQDO4AwvRz9QEM6AL'
b'xGJ5sXDZoyB+VRtDS4fjZAD7xVVRS17b4XqusgKAKkOU1o7ox667s11dtkF/rMwBAiOB6dgG'
b'17vTBlVZ80LHygARiTF0Ti6TSSvRFBlaKIDcpGsmHlAAM5qkPrlnvyrE6ZdIs2yWW8nExxCm'
b'2M7LfsUJfc1Rqkru4SWOsnHbmPLiOP4Qr5v/eKtz5wpU0IJaMpCUKAKbd2Fxea6qIUQXAHJ2'
b'B7OpyhyVqmuYaRWuuTlXhwdVS8hUZH1tZ4fZPrky7B5ljaze5r77mjPMQojueOYqp/X9aviT'
b'1TqxupWNEHmdib9traeLMFUh/aBMl0lEpNCnDnIgBpTV1jasFzNUgxUJhOlArbM8iRJUy7AA'
b'uACQgSCSTJE1qQJUA9V6zcJgZk59EOguNKY1NtJg1ZxTOhY4kLy5kOaPthGSCwGlMCcLxLNn'
b'z84uzvd2doeZn1LyGIzJbKz5sIvVmM1lA0gPLzCSHkumpgomRZyBkYZUhf1gtK7bOTw4ulhe'
b'5nraaEopL/t+kbWnSRAwRBKiNLNZ1yXtk2aKzOZ7n3z618vz8+fPX3Q77yCGZ9/1ahc3jg7f'
b'ufUelvHx45MHH0NBzdZ1c7HZcpF3d6h+FjX6L/9wdnZ2fn6+XC6DdHDmUVVQW0+H8TTcMqP8'
b'w2tcgPC6jaPsQ1cGAbfl++yAP0apRrCtRS0ZJISomgnMQrRVBT9JVc3IEopiDB4TjzzF5Ztb'
b'IChRQzq9vsnbZ6NgtvUpJhJC1j6ltNvFW4e7/+bzBzPAV6SSL8/7/+83X744vcBsbhkQas5B'
b'YCXTjpNmJIAxzg4O9n75+c9IPHv88sWLl+XpQV68evnb3375i1988vLk+PLykmSI0IzQiaR0'
b'+9bNzz/74He//TJa/uxnH0Pi77/8497B/ud/9fE//uablHrVHERms/nHH3506+b81XF6+O3T'
b's4tLRomxc31cALNZibxmyKaX2fS0/+KPz3724M7BzGOCdSby2YeHyy+Wx+eLwkDHIK0P4Eg7'
b'q5Pw9+9dpvwhb/LtD15Kvueq5qHvhMDr9bJW/736xjrl2n/9geXbH2mlm5RwWau83Z48C2gh'
b'AlAM0LZxA5yIExuKGmA5575Pi6VmgpFw54qmLQCSI4PcAG7V7MGOhBpTSilp3/fHZ6enr16+'
b'fPG0Xy4s5WGgJITZbIYQ1MwoO/O9mzdvL++koxs2m82KZrQ8VmE5mHviylzTcgnOMKhHl8t0'
b'er64YNDKa+4sg4WtAiNmHUwExVFEbRzPZmz9flUVmKouLy9RzS8msTg2F2Poqn7WPfoMJTzO'
b'hx1hdU/TZua8ZhkOuxxXSwXcuXmbWhWObr80V3N6WlZKVKO/RwsCFfcLKJjSF4oZxUODNc5n'
b'QTo1iADJGIsnwyZbkRax4RozfwLZ12WDIdGYDe9JzNbO2UHOab2EUQM7RcRSbu5cQYS4Yv5v'
b'Kte8WQkz+f/Ze7deS64kPeyLiLVy731udarOqRuriiySzUuz2XPrsadHlgYj27AsWLYgCZZl'
b'A4YBv9gwMIAf5slPfvRPMCBZfjBkwDcJggBBsGRDo5EsWNbYM5puNpt3VhXJIlnXc9t7Z66I'
b'8EOszJ3nViz2WDOA4ETh4NQ+mblXrlyXLyK++IIgBigRM6dmOpnmyWTSJEEpR0cL06WZSZRP'
b'WOXsDpSbk0f966gZMbSJKo911UhiOPlxRQ53B5jdbcWtWiX7Dt+ovnIJM3Pt8j5u1gPo6n5+'
b'+OAxC65evSwi7rRy/1NQg1ctj8bzgD1HFmPVAyaCuVk5r0spcCizamGmJqVJ05TFnGWlW3T6'
b'5a76pJ/I9a+nf44SMKj/CWeDAgqrkgJGRE7Rg/vL1l3j20Uk1OhVddm17u6ExIIpwkIZGRXm'
b'DomsBAoxLgOgWI3S2v9uq8xa9Zyzwxiy9/Tpwd7+tJnEu0spVWef1nc6xCuGF02r/zhGsC1m'
b'SjgRAI/l0YKBKcGfNCI2GANmNttYXz7pGAyBate2rat27cKsAIzETIU9shqk6zpOJMRqXopx'
b'wuvf/YU0nd797P2U+e6dzzc2Lm5ffOnWi7eLN//kd35U1IHQRU8ppdJ2RNRrH4+MfHcAi8Vi'
b'c+OCcGbmVguBkzTqClAvEPy8R/I+HHPecWovD8aeAceI7e7O5seXcSYyqYYYqM+D+aM+RuLf'
b'q+Xg3KXNSSi2wFD3Mxs8PALosDYRqYIYwTOrsIgArul0lUpXvynWrNjI3Z2YBSArEUBg99hw'
b'6kFVRSTuebZqk7uqas6ZiFSr/AWYCjknkaKTTL/wxitrhFD4a4HHc/zeux/tzztupot22UzW'
b'SykIQ4SAvlYrkRAM8N2dnaP9xb27n/7wB29sr8/ee++9tpTOSfL08ePHbbnN0jiW5LASUs1l'
b'58LmG6/e+Mn7d58+3Rcv+++8m4iJ5O2ff+O9D+49fbon5JnspVs3L+1sC+Mn/8+Pvvv22w8m'
b'6WAhzKmYB1XJQyqZQ0fFgaRCheTh4ULvfPna7avrCQAybJ35e7d3/um7d4ybTpE4eduJkEKd'
b'2EBAdYEcU8MY1aM4Lhpzlrh3ZYnWvwQzG04g7t+OkUdFcFjdDWj1yuKeoxEXxdp89Ndvc8Td'
b'Rm0kWw1y59Egh3pfCRVaHb9eOSz1dLivrAZxd/LVBulGIzwdt2UiOnZO/yze0+cwxjqn5lmN'
b'yeCkEUsS2ds0RipEZLUBRuxJCOYSypuOPl4eyNO8eutPiVj7Sn/9tMeOSMgUUFdj58W83W/d'
b'JflyHI5gcjcvqmrOy061W6oqzFU1oEnXdcXUTEspVlRV50cHB3uP5nsPyvLI1dwITBBmRtM0'
b'idmNFFhO1r10WTJ700yVyBWulNyd0RKcTQGYEzUdA4QCEDgD6Fp6/PjokL1Y1yN4cov6YOKu'
b'5u2q551CA9R7goSVzt3ZUSGPWr9zK8gBI20XR0daXJ0cRM7mhUGJEAbPaq44c5+20ScjOEAI'
b'fU6yqEk82pJ7+b+6ysF7Lg6PXp+g2nhUOWA8ZCz3BY6937AoPIlMYpDhc0+ZKHkXp1RacqJU'
b'+ny7Wm4wTAGGVSGaOC98oP15LnAWiBGHzcOgIe15wIurr+5x2NiZF0ttfw7q2O6ZVYNEJsWj'
b'2uqTmDbRY4TRFA78FWkAupquVKttOGi1p5/QXx8Mwjj6NcrqcDmNLAkQ6bpuwg2AYp0zuXPn'
b'boqjeWfIV164trm9OZ02BM0E1pIePbYC8tZNew6MdNYBSEhEFInLxczdWDCAyz7lOooVVNDp'
b'TmAJwR5TVw+tp8IsxY1BbsQguKtZzf92AzlXyWkGRK0wszMryD1McVfVXkc+YGiNN4pIW3Rv'
b'78lkMrlx8+aAbs2MLESlHGxO1VsRvR04VUGQ5EtydpEhobkINaNEggohYtuNPF4RMYuio0IF'
b'2+sXjvb3VJVYIu1QACKJica8GmzoTV/zOK0SbUPdfLVux1MMpnr9hIzI3LlWqAARa3hGijrV'
b'2hClFFJtUi5qYCHA3Cbr62Wx8KxmXkoRyeGLSNQXGTBjoogJpKHUQD+MrSpruhGkEYNRIgYt'
b'5vMvP7t37fIVMzMWVecV4UqczOFDdeEwZgJ8Ht9wEZqopt7vEMYxYWCNJHJC4P9Ar+wQpCRE'
b'gCqFbcCuqqoalpF56WwJp8TCMGY2NbgLMzEbUDhfvn67EKVGrr349nSytnvp0nQ61eKmPzpc'
b'LCbNDEDTNJNps3+wd2l3h0hi4ezrHnpitq4c7R+8+PLteDXmYGI1FRF3jdLKtVIN+RDiHc9o'
b'G83ik4q5GO21pz8/01Q4oX126vhD9n0+79FjcnyzU7Q/+vS+8xyLvTt/pb/xjHSu2ie9TI1S'
b'zy7oJdK+XdpwaHQAiGUrdH0rBGBjsjdefXVjQigdJKthDvzopx89OWrBAtOmmXbLlpNU9tKg'
b'exKPBRjh4cOH33395TfffOPu5/vk+tZbb77z03e71kw9xVeDItpLsCD6vXr7xTuffvbk4aO1'
b'zY2Ntcn+0yfLbvn973//00+/2nt6YF1Jk3Tz5s3t7a333//o5o0b3//+20dtNz9aOrGq56Zx'
b'DbPeAO51mhkg4tRZadL06dH8w0++ePPV6yAWIDlmCa/cvPHevfvMMys1B5qj8B9x/+a4f7Jv'
b'd9CJ9zIUZIXDwzA4K26z+qKTfx123D+QcUx2zIYZmY80qivD1Z2g5Ku1tpaz9QGL9x+SfWP/'
b'PMN38K38ECfQv3vfi2QgohW5tpaoWbkMYae6NELH/TYzFsPpd7Xzvhf9KscgJnRd93T/4MH+'
b'3FJT52aQZIzgatqaWdtZp6VbtqZFtfOiYQOU3v9uVkjNrJR2uTh6Yos971p3V4NXVX4vbaKc'
b'zaAGbduUmr3JxJ0mk4lq54QwAMgLow8dGMlaXdyr0QNoaR8++OqIZ6VyVKL2d3KPWpVq1oIG'
b'7Rq4EYkn7I0AACAASURBVCQS3TxkrStwUMuSPOpkmZkXdzUoaYeyNC9V2GAQ0nALPDVMDSMb'
b'j8CREc2Do877xn+bQXJ6D+Lq1q3A20Y/EWFArqjctPIKYtKtho2Rwc1rfeVYMeLi495TZ9Dq'
b'SarQCo2fwsYJ8Sdt2pG1OZgE3/jIY7NhcDad0TOnnb7xXWc14LyDThHnntm4ukcwcxCiEotL'
b'2pvP9w8Xj5/OFx2+89qbF3evTCYTQN1aJWPKxA3Ropo4sJDtH9v5g+MzvubMdg6w28M5Hdr3'
b'qw5z4n52uKPKcwmzubPqKrrCkSRaAz+jy4mY2SojcDUMmLnrOiKKOEDX1XJjvUW6Oo6R5eIr'
b'aEWYO/ZewvPi7q6IrJRTD21mjsCrcHchHl7VCS/GYHmuPu8DpOOnM8Kxtvlgiq9Y++E8j+J/'
b'ow6HOZzgQdACiARE6nDiSW7AVLnpKTLxakoecURvqx5ST14iIj/RDPT+o/EEqX5U16++/ALV'
b'2+1GJKDSWRLqHRDmxICxM8gi6tijf6perJW/qbe1qH5F9IlAFD7UcCGqPqNEofps7q5Vx7mu'
b'FeYOspBTMDKp1RfYzMACYgOKJ5G1nd0r0/VtZhaitmuhlNL0yeO9q9c32radNmk6nR4cHDBz'
b'5xGLsaDYROZG13WqmnODIdYJI/LenTfGbdRD1fHPYzPo7CTg0x+OnRa+8lUwfmbccqwG8B/6'
b'8Rzg5rluM16nyEGkXusAIbakAWYdu27Ye8xMESvUyh4J3xgPzuBVYOV8CaBgwnmv2A1UqzeJ'
b'e9e98tKt6zvrqi6S1aGMH//k0yeH+8ysrq4Wc3Vc+hHjqQcAeLq3989+/NPJJD99/Hgymdy+'
b'ffvN77397gcfHh0cUmQiRkpcH8okcoc9efJoY2P99Tdf1WW5fvXKu+++yzkdHi1LUWZ+6dbt'
b'CxfW3nn3vUVb9j/4eHtjNl+2Ha+xCMy7riPJZ4kJuoKS5LZdZmn2F+XDT5+8dnvbgAQwcG1b'
b'9g63Pn9w4NQwp5qbGdU/+kFrASYDnZw7ihnH0ATCu+/M1RQhiIPdKPQZQ8OMAHCP7I3G/v7+'
b'DX4rcfpnHhzerx7vAkiOKtnGCH1zr4tIRDhXpFa26s509roLRetiDOqo49392PAbseFDEmvc'
b'ptNQ4zyq+GqmrA6LNZp6hBjCNP054yng0dvGvfINGDCGAAbPAEWbx0DqGYe7A0okgJjr0aJ9'
b'8PDh3QdfG7O7sROMXA0Kh6K0ZtZqUVXrWrfiVswiNw9OQx6hsxWCQQvKgroO1oGEKLTBPYGZ'
b'OdxNxHBrF0ePHz+w/f0nEOlVi5hhFE5u1DnOm5U3G9rpYsTt/MG9jw955uG5BgCOWjsi2WuV'
b'be1rKgtii6OaIEtEHga8+3xpEQFgBI3I3dV1yeXIdOFeQMWgBDJ2UygdM7W8JhCBg1QA894K'
b'jtmBqEc0ZE8MhvRzz4tAL2F4hE6qR+yLyjDdajAz1iUo4GbFYaBS7SYq5hYlANwjxSh4UMZh'
b'b5ztvbKaBlCjbUbs4e613iHm5/jLTjzCAO5rvx3nBR2DpBVPRthktXuO7fZnH+zDN56bdcq+'
b'ivD3hOyahDmCr9FEBsyLyoAGmJfFHj1+8sWDx48PFts7Vy5dvTybTciciJUZPXIgWrlExij5'
b'hC8xskDdYmKslqIT0PDE76PjJDGGmWNxGbrdR+AeQHBxT/TM+ASvVQso5+rSDiPzmId5wOKD'
b'ohTRCfmxsS0XzejJSN/8JqMkHzNrL5rT/xx8u1FqbKhQHqMxxswQ/DyOFc3r+T0rOoBMeBWr'
b'5zj2GRCMqCt9oAAc1RiNmFLTTEEEL0kaNogkuMY9NAqqIiomk/GQNWHDUF8hVKuNHAyPYWx8'
b'8cUXXdex5N6CoaCDOfUiZhTpsxQulvrMvUspuie8XpH8bR52fRRYT+Bktee8rz8PYmZJ0jTO'
b'7GogBgtJktRAhYgoZWZhFmYmCEUFNZi7hq2ViJZdq87mkaMFwJ04T5rNra29vb0Xbt5yd2Ze'
b'X1//6uuvNfxyHuW96tMQ2bKdq3XT6SQ8L1RLNsDJrRrlfalHB6p0hEUadKhyjSHpGZk3///x'
b'LY+TO4SP+KFnrlPHYZZTBJzCwxjTwB186raEfn88Nzdg2DZKKUyJyakrV7a3Xr1xRQAWcqAD'
b'Przz9edfP0DOIRybUjZzJqolCmFG4928tllys39wOF+Ks8y79v0PP/7ud7+7e2nns8ODqOhX'
b'uX21TCNKsZQ4s0BIgHfefeeXf/nnUjNpC5ala5pmbTa9cGHtx+98sOgK5aTuj+aLcLEVL1PJ'
b'TjAKGS9w5bWHvggLoKokCeLm8uXTg8nXmzcui1RchdsvbB4eLvbmhSgrWLwAYIoUDYnF7bhv'
b'8jneNB0n2wCM4IbVtvWdxYPRwv1WurrJcOnx99iH556/OaNWHLMVY+kSoFZI6oGQgYhsFZKy'
b'wYXp1Rzqd/gauWI3O7Gz9cc3gps/wMGhsYVeZ516ItZJbZkoalu9L0Mfc/+3qCKJny0CaWat'
b'LveP9h8/faRO5E4OKm7FVRVW3JZuJfz9ZAZX7qlQzmJmTiCLYjfOpMGFMSZ3gUjixBAhzixp'
b'0qQmd25d17VFy7I9on1uWyc2SCU4kcfrAMUAx5qymiuS985Ys7K/9+SIW8BW1pqKE7la3dwD'
b'sAJUi/OQhYuOE5FAmEmsFg6oY9vdo4KHa6vdArpgqPe2LoEt1EBOGtLevzsmR7jYx34fNzKE'
b'UhL3oNZCCRwjtu7KpjgLJXugSkJV+ajevh4jkiFMdngUW2VjMiMLOrgZ3OBwDXc/oBSaTwDc'
b'4JHboSfGug90sjriyOLtPnMxOW0SPOeGu8JAK4Phea5b4ezTXYdzpvB58/r456t4jnthZqKI'
b'eeHoaP7o8f7Dp4eF0tUbN7e2t1QLF2uyWAA/UzNDzzVfRShp9UV9hWwd76RE1HP8jjm5mXkV'
b'EjyF+Md96KPLmbmW6TjeIQEombmU4u6nU7oHGVARIVoNA3f3XpPAPahUK/rWOEMAw4OvhjEQ'
b'a/A5h7szDZoWFJz7lJIVfcZV47YNXTFqwOrmx39X9sh/MCN0nRL1OTNBWKpimiHMSt5jdO6Z'
b'WsH5ZOaw9hKxU88WglVlY6omSHVNj4222pJjeCaancBKvL+/t7f3ZPvSDoCATCIC96HaCTCs'
b'M8PPMPOt/1P1dMZgo7BA4sI+buPV5gitOWJOOeeVABqRiKRmYq4UgEdEJEmTSTJzkI15aEm0'
b'/2D/KE+mOc2IMxE5DOrMvLm59fDxU9WOmZ1pY3Pz/pdfllKIE/p6JkMY5+hwwZSidiqciMkq'
b'jy5Mdz7+Tkf9cJbPPZ0eBGce4zV3+O8/TxDwz/P4llL6AE6GC1be1uMnjSC+o88ospMLzSoI'
b'jhiD3PPQqmHAXPM/xrRaA/MzZjuvqgjG9EtMbCbQN2+/NBNYMSRW4POHh+99epeapitFmBFs'
b'QJIwnDHCxFWoJO5JaEvXTGfuqqWwSFd072B/c7ZGXpWnYzUQuMDNFeRl2RL84HD/6HDxK7/8'
b'c19++ai0SzKfTqePHzzcWl9fznXRFmqaTguLMDFIwJSqzDMb4MQUNc77+D6hRvKYuZh32mWZ'
b'3Pnq0XR6+YVNuEHI1ohfvH75p5/c76yNWQRycmOw1uqwzMcRydjbd3ovj78qA8490DbuYyZO'
b'cOrv7AxAwFwpteZUH2R1t8HlWT0RA/T/tpGxCHqu2o0IbgAMjTFGAHpxQ+VYbXsfSfj94XWh'
b'QcVMXtFYP+7JAD/tgx8/kVf6odHptWQF4o59HFZTn6Zcj+ohjtgLAYNpVO/jYeJF26L0Zs0z'
b'ov4xq7gZc89p5rCpvUZRa2NW8cwxaAgVCyW2nGm21mysrbcGdJGWaaW0ql3pWrOFWUdBB3In'
b'UwVqHcDw8DAxwARJTCQwNVASJlDKk5wbhggocZ7Mpmk66UwXiwUWc1VlySwTCAslVDeORSEC'
b'J4Yzk3Nirw5hUsAJSgxpnHPECqpPS8icUs7xHt2D1u4EIZijg5upUYXLKVjLWoGaAhbEFyJC'
b'aamE4pBz+C5ATgSXsY1Lbujr79R5RKuBtFJtDLeWD5mXjhUt6KQBQOO3NhpCAdD6bAEqZ2xk'
b'vUnsZAo2hVkg/4Gl5X2+nXtN6IkpRU48vmG/7Eesj+pk6W3vEbf+9DGA+FNY59jGeuKg/nDH'
b'gDyIhlS/45Wwj4cUqmP4GIQ95g8+selTpRsPnRaX113pNO/RCMF1JhjMiaio7x3N94+6DrK+'
b'ffHajRvhCRJQeGiFk3upb9xXCdMjdFEd1QOaJxw7YdwzHoHNSN0mAxH6APhpQ8uZoMfsh74f'
b'zqinFgh+wP90nDwD1DJPvUiG9dkIfqKpZ8KqepqN397xk/tCECduODxVzgL23DSLsozJ2CO8'
b'418dtQhPWH29Gr8RBt2REZzrmbHW95UhBtrq9n2bzSzqLnddB8BZvOhyuTR35kQkqqoKJhQ1'
b'gjjBXbmvTBFmGzvCxbSaFIGYw4YPtc2h/UQsKMv2q6++2r1ytS02kO6Gd1pVg6gSR60a8953'
b'7HCM2KEsDhhU+5ZXbLZyh4XQUw4LxxBhR2HWnJqAW5yEObEkIgFH2hUZnKQi8qJ6cHBw+fIV'
b'dWaDCLu5uifzjY2N9z74aLFYxEBaX193967rmknqGwD05t/h4dFkMmUOIVSu/j0HQAw5D8cf'
b'33lXRkI6c2qdc5M6Vn423B8v94/aZrCBEjB8dGx6PKN5fbT33C5e9cxwyhnBAQDAkC1akaT3'
b'eibxWV2eaLhXZcCf1zTv78w9LS8xmRUxf+XGCzubjQAsbMDe0t/75E7hZGokwsym2pmKMBGb'
b'2oDofDU/EHeO9qt6Sk0pLUsicNd17s7CbjB1pxB0G1cMFWb/+NNPtjbfvHv3rqnlRN1imVLK'
b'QiIEQA3CGUQAFUMWKqVLKT5ZGfFYoWMzg+RGVR1gyZ2rwD/78vH29OJmBrur2+4mP9peu/fg'
b'UJqmmicYdvHYNMap1s8q3vzM3NyKmA2wXnJsDILHc6/PYUCN0AJGla14LED77Y7RpWTwc4eK'
b'u1cwTHV962MgsQQHH4gGQDWoRD+7ONHo6TxWoOd0EJwmd/XoHwiLAnBX7eV3BhkNrwODI9hi'
b'4AHm8LGXRSfjLOe1ZIRFAlgw89p0/eruFch6W2CqVrzMl0fzg/nB4WJ5UDp266AGq1r/7CGZ'
b'VbdSZxKRnCbNdMLMi67tuqJms+nkwoWLa7MNgWgxIplO1pC4uDXzw3R0VEppmmYya7jJKTWO'
b'yn+o7gEIA2R2eWYBUHjozJS2d3cbWYe5u3LEGIOhVhd9daiZhe4nubp1oWLhYCeOHd3du25J'
b'7haYnCjCic4M4p7uE6A5ZPxoJLVhHEz6Sj4jI9REzFPjpUYOyOAcfvfeo3nSAKhbHK0G1dhf'
b'yEQMATqCVP2hmIc9Tz0yR11VCW6hPKzm6mbhqTFfzQTq70wDau/XwxNjZuXxAcPZzi8zNx5j'
b'z3M8wyU3MlzP+OtgA6D3mp++8PSZ3+4gA8DOQQcxcwaJ5MWye3owP2gLp8n1G7e2t7fdnVnI'
b'ihuYRVWpuh9ARKBwooe80dCf3r9rAlaBveGqsQVVfef9ixgraQ4mxHA3Ywq1ruESM+Pjw8l7'
b'7awz35SPdOsvXLgQm1dk967OYSKVQMynbzLC9KPnYlpVBBudScf/G4Zyceec3H0ymewd7o0N'
b'4/E3njfS+pdeGS/9tfE5+uW1EuHiCq/ahjBzqomnvbVMFGofMbQ6NzJ1d3DuAQMUZGZMbO5h'
b'o0UF4np/qrBwJWHpDFTp4XGPxfsmlk6XX3z+2Vtvf49c2ZnY1brEGZEC2yvGVt4vUZ8jZDUx'
b'LAwMD8uGIn4c79HMmEHk5BYcoT5EAXdvmuoul0RagoSAUCDlJCklgFGr0xh5VEwItUVh9/3D'
b'QzPb2tqiXrZfKifNZrPZYnmk2uUsgOdGzMtyuZitrak6OUBUOZOGg4OD9fV1drZQP67l47kO'
b'TnevuRuDz7RSgJziJyKXJN7CGTKg37hOjSceRlP0eY8/Mvb/SSTA/WK0Ok4viOGd7cHQasmP'
b'00+b6XZODRzvPazVsVo9rIYUd2GPXHhzJ6tTdHyfnivrJ5D54CHrM/IAZqgVb8vG1vort673'
b'BD5XoQ8+vncwb5WZiAFr2zallCfT0hk7heLVCXdyHF2rImIOMzQixFkkl2LC7GB1cYKzqMPA'
b'BbBgyXMG5da6xqkrIMqJOlJtcpofdUAxL5yoU2XyRqbFQe7sSAwRL0VZDMZUPeXVZ+zEkqgr'
b'bUpJVSVLadWZ9uaHn39Jr97cTmCGJeDG5a29g+WhmmNFyyEYO1vwBioEXmVlnPbBh6e/Bo6M'
b'jax6oAlKIGd2WNRtBffZtOakNrgmq+MwNgoyChAVIKOeMfzys6YHMAXd24fhYlaD7Ezk5Bpt'
b'NudYIMNHTEOoqne/jvz6NQkpRmgfOuPwQZ5qgA3wafzpN4EMHrSF6lz0qrwBptCfC5cO11t5'
b'3waxmu818qT1VtwgxRI8luep0lQxBCm5EwlDppJ3t6/kiS7V3V1LN5/PD57u7U/3Dw+nXbuw'
b'svTSQUvIMNOoaIuqSk4keTJbm65vkSQ/OOqO9l2Xm7uXbt58aWt9U9XbZSnFOCcCq2qersv0'
b'yEzX1ta2L2xOZlOOzBUkcwz3Z7h17ZVJaTiI3TVWlpvmhRdfPqRZpCojsr3BbjVwb+6VqKBm'
b'Zq5m3pVSggqzkhR0LWVZuqWV1koR5pyFnb1bdOamplY7udISji+c1M8VBxkld3ZSi951x6BR'
b'G3ZcvdKOZz4OE2f4/ZRP1z0gCIfjoLcJDWl8OUPc4dY/Mg1+fw1ToNp79cHjEgIINpjJw7eu'
b'rJgKSHrSV/+HZ03d50D/dmxhHxkYwwkeVM3jWXln3pxr7qAcswf6n+M7cyUNnmT59+MtPC9n'
b'WQvei3KRFPUnh4tHB0dKfOHipVdefGl9MsshEeMgQkJVm11B+fGdetfYiWc53drT+GQAh0OP'
b'9b/QiXPGv/f3cZy1RtXvHf138DGHebC1tVV7hhyu3kdFhvDDOBBxzv3HQ8vHgqS9CP5Z2717'
b'0D8mk8kIzWPU2lEf1je+AtPEKUAM9dySMC1GAYa4j4RBkBL7yODsQyfEbOQWQBa9XUFEzvFu'
b'yTnUmVZWWfRHxHRW/4cL9Y2JOEMkaYz6f1Q2wN0d5vc/v7dczHMzYQbBpRKWDBXUj4cH8UpE'
b'ou4NQ9WW8ZBnGKyICLETO1nItNVkAQI1OZEZVHPTgAoIHLsiUU7CEhwtF3KQM9zcGOYW2UT2'
b'9MmjZpJU1Q1N05AbGGxurkHob5eLjfU1hlFKKaX54f7Ozo4rYM5EsBB30qPDg52dS70v2xEr'
b'AiOKu/dO4/hnw0+GGfqadwiBCACeznQDPJ8NMDrBz/Lv/At39AZP//t4evcWEQH9i1ldcvzg'
b'0NLtdw4ESSgzTZIQqO20MzUGwOGQ71nm4Wk+u6ONoKpEDlfhZGq5SbeuX51kQA3MEPrsy70v'
b'Hjw2zkRghpbCLE7UFSMWImYzp2C6A70lEBMkih2Gma4aEr3KoEYSoaYHMQ+eFe+6LuccTjcv'
b'KjOJ7cSthHsSQNstiVxVkzTsZmYEFmnMCzMvl8ummZJFewyrhYCB0ACWoM0tl8s+VYm/ePh4'
b'5+LWpXUWCDk2pti9tHl0/wkk9f5+i2kQTMfovNHPegyLLsE4mCYVHxuBNRzVPSau9yGvhkQk'
b'EaL0gUQir9IEBkaopNPKAe9kVm2Dnz05mPpYElX6fuWY1Y1vdF8OFYfYhivpud81e1rDsOT2'
b'1ovSWbHy8XHSln6OZQQ4FgSgnrdN1ZIIYyp4Vk59FELcxY3cIi0kFFerwy/o8jXztM9wPg59'
b'vqEbiQCn4AuBZs3MmJOaaldKNvflcpkXi5wnpGbwkAqxogxn9A4FIvCEU6Y8naytr21eckkd'
b'0lyVSC5evnLj5q2Nja3lsjs8OprPl2bOlNw9TaZpMi1e1mez9fX16axJiZXhJuY9GQMmbqST'
b'i1MNDy/3hlnO+eLFiw2tmxVyg0UOK0cetbkPspBmBjVVLV68aJB9KgRxNStC1rWLxeLISkuO'
b'LMmddJlKtwCLm9aR0hfToZpRA3fl+mJDP9C0J9+e6ucab6p25xlO9m84KpDpowZUbYB+meit'
b'fYCdOjFIMSIiMzJjd3OFlUiNtaAm90IgcbXheFLykE8ztkBW6xLxcz9BoMMT0Py8Z6yTouo3'
b'nhzJ3sd+x/898xvHF54JSc+61s4+ISxtMmYyg4EOiz49XBwuumY6u3bt2rWdy5k4My9L26RJ'
b'KUVVU+ay6PUnR9HlQL8DpX74Iu9Tn4dZvPr8mT12+kPra1wMXUpV50dHfCeioXitkVk4Pmr3'
b'Rupt3CdAraoRUZNTL7lbDxvEpkbWhY/SWIFj2okxgPsXfd5jwft4TkoJQM6ZOanWh62mIRGO'
b'mz1jgA6weu/wdgjRIOGEkT1Wtya2Vb/1uePW34qTsFtbdLzAMkOjmhAsiqIWM4nKCUCNxPQR'
b'5rgtVV3vamq71yrmwzcOr8bD+2OaGHtPnh4d7O9eWYPDTXOToVbJuRTExEF4o64CNc+fQOG/'
b'jjyHyE93ONRIQUpMDGWPPCgFMcMULqAsVLQtusgQtw5kICWAmZghId4Yaz8AMnZnsqKFwO6Y'
b'Hz5d29gKdreQM5Q9SgqoJHddHu4/vrxzAUDOzXTaHB7uu3YBrJnYoFHPvSwXkyYxmTjM3eCJ'
b'xKPkK0eIBgQ/4cjk2NdQFTWCsiZnUoCeffTvux8rRM9A/17DVqshcur4w4kGnGYBnLL7Vwki'
b'Zxx8amKecGAMd6uOXUeIadd7eg2aMHnE3wEQExPBFFpmjbz84q1ru1s54euHRz95/4N5gVYg'
b'U6GQDKtXv9cCGFJwiCQMfSHWtstEG7PmxvVLDJBwAVrHe5/cU5LqMdUusRhIC5AaLQp0IqI+'
b'WvFHjjSLGG4gFSsiYqVLDGGfJiJHw8jkmbxJPE00EWJYk2iSU05g66YNJPK12Ce5gfkkN4kp'
b'iZQA9JmLhsaCmGmstkxuWohBROa9N8K8H8ncaZnkpmirqolJkT787P7W6y+YIxPE8OLV6deP'
b'sF88OPoEiJdEVGBQMPPA2OF+qAyObjMjWCJyK0zOzApDmljRIM0TxLwkYkeJZEFmJrh4Ebca'
b'kPOAF2zEkW5Iwm7kTNBwGrEHq5f9fIrZ2UdIH0CpypK7CnVwM4exgJougtTuzFRdcChwZwZr'
b'xDBCxYfcXR1GTIRSuRnMIFUHnJkdYmYkCL/8MKOpRlEcgB+faieWFxoZlv0Yk6JFRNyMSBPV'
b'LCthmFoKqXdVdk+ciaGqSkXQCZTdSIuA2E2q/ApFTVsWcakpCYNrbdyYE78Pz2JKiTMTQx1k'
b'zCjWcUpKUkoHoJS2axdsKlA2ZcS20c5ynmbJQuDUqS06KwxpZDKbNFmUKItkJuN08eKl6dos'
b'TxpuJgsrpDrNGYpSSqKUPVOhnHPTTJJkESe4umURdY1INZOzq3atGzxjaL6qwpTFyMMTp2bG'
b'VaWHiakq3DhHDVFnymg8u6u5qqvBnFxBArOcOGcpy1ZVkwicC7xd5vlCYerWZvacWLtlYnFX'
b'IZrNZsy567pSOitKkkCwrpMeJGGgTBBUPaXUti2v2PNey2xx78nqTdeei69EaezrNasFeEFM'
b'LIEhmElAZp1rCXxGTrOGru5u72xtr62t7e7uppSePHly//79p/t79+/fLwZlEFJxKIElF7i5'
b'ivVs6PBl9lLLRBQT29Xq72HM+8rfeXKqjlKHRwPSx/U748OgcfaTK2BSAMTjbJM+E+DEeKaq'
b'bTiOmJ0BiwfoVuu91LrOrv2Z4SngOquC/VIl7eEuwqqmDpamLbS/6J4czjvH9d0rr7/86iwn'
b'UjdVoVTUQKTsMHV3s5Ik8CK7ld6ApD6LcQWFqU8nDVxOI75NLzVBZiZJhik8qPWP+3wEKFe9'
b'ar0ZMHzifee7R6lM6uNbqqphwxBRFJ/qfV61VrGA+qJeFLg6mj18tYg4EcPn87mVMskCoioh'
b'bxYCHT1MCPvKT6CjeHYzTak5WiyXZU7C5G5WYXopxSrMqw0LlS85bhIUNwCcxDojYXJ0WsLB'
b'V7siXELkiBRe91ZLSkmLDYx2dbh7YgAGTqpKAlVzgpulzGrWlVKsSzHSmNU9mMmRdEucnEk8'
b'IrQxBgRA/15kGJ+qXUqJiEoxkdSWzsw+eO+9J0/2IhmDKqCqEyxeIgNciVV15QmEFMxF5gQm'
b'V7Oos+C6XC4Xi0XTNCklIonPaw4we2JZLI/a5eEnH3/YLgvM3H2xWJhZzllE1Gl44wBEqG3b'
b'xOi6LucEIInM5/MvvviCUxah1IdHVNWhXbv4+KMP9p4+bpqmbdu9vb350cFycVTU3dVUySyq'
b'PM3nTz/9+L27n35gQ5DEh2HrfUoTDMewBLl3quSqCKpqNVnPrQT8jING0avVkD3nzG8HZ/5Q'
b'jm9l84zXiPrJ+SfTyp15mv2vPUHfhNmsuMPaNrPfuHz5tZdvzprKH722s7ZY3Hz3k3tKRmML'
b'LV7nqe4eXgY7iGCuE2Hv2hvXX0o9vcNAH975aq5myIBb0QQvbilPwl/HScTRlSVL5qFW9+ir'
b'YpeiGFpMZiVlvnhp6/ImHz65uDw42pzh7Tdf/d3f/dHtmzc2ZnjxheuPHz9eX8N333jld37v'
b'91+9/dJ6gxvXrj18+HB7K0/WXtjf37906dKlzeb2rRc/unMXzKqdyIQlRVJyrX1Ry2SRE9xC'
b'05vckVJztDicTde91JXR3Um4OC/UPnswv7k7AyAMBq7uXjq8/0RH7hCzkmQSpo2v3ld9a0Gd'
b'qwuceWkXly9tXb50YTbDk/3y+f2viyHlpjOve78U8VYIWWgykY3Z+tbG2qRBonrTYjha+NF8'
b'cbRYHi3atl062IxCldUMYCpwBhPpt50z7s4s7KUsl9d3N6/sbE0a2ts/uvP5l6ZI1DCLuzk6'
b'iku8EAAAIABJREFU7drElOFN5tm02Vzf2NpYX580scipaqe+bLu9w4MnT/cP54tOTS0EKExL'
b'ibKOpiYp+SnG6rdrdH90WqazqXbFXDMnYbTzxXSSS2m3NtcuXtje3tpcn02bpsnCRGjbol27'
b't7d37969L778qjNKrmwq7iBo5UWSwuFUkeu3OaoACDFzRnCG2Ttri5prmR8deNc2sNLuTVE2'
b't9Kbr73+xqsv37xx/eKF9c21NM1wx7Lg6X754tGTu599dffLh1892Ttcdmvc7qM4SWyMpjCY'
b'SE6pCxAjYNUqxykiweoxR2LK6BZPHkwTr603R8sj1yKm6yknR3KAxMzAaMRmdkBeYM4wKyqJ'
b'kkw6xv0HT1qFS9MVj6I8zHCChmCnmmlHxdyKu3Gvm9m2bdd1SRqLkjfdXMvCuiMti4aRiS7M'
b'Zt/9+Z9/+ZWXXn/1O5cv7zTNdDabmGF//+nhwcGdu5+9//Gd997/4KNP7qSUVd2IU05FI4Et'
b'dZ2GnKKVjmvFUD5v1+iX4pU5R1RXg/CDlFICAFjpGBDodEKTjB/+yg9/+MMfvvryS7dfvDLL'
b'QD/BY33ZO8Cn9z7/3d/7/d/6h//w93/8U2GRnJddAUtikFZAbwiZS+dEnHIlWsSYcQ4mCPUt'
b'GZDf8wy5M/fQ4doBDZ/48OSuNPrkTHP3eRrjBHMMUicelmI4ToXcXFUD2nrovTAT0BabKz/a'
b'O3h8ON++tPP6q9/Z3bkYCfchZRhBC4cbanrp+DGrbVN9wGEOrf4aoCoewQLY8YryV/87YgoN'
b'JtaoK1YQ/0QPn0pB4vFfh24cLIozjbpBsX585viSOMzMQTCdz+fWzjfWpjhe1CIuOVtzrW+t'
b'BR/SfX9/f//oqcHh7F4hrxHcKgO18vIjd5/GIQ5fmzSLrnUNf5QVVckpcvnqaQ7nmpG4VE0p'
b'mXrpndkwL6ZEMqQFWtjDdcy7uxnBoaoacm5EFLIIrSkDOSUAQX0MCujqDQLhrS6l5JyDRwAg'
b'xNZExN0uXthOzeSnP3nn/fffd5JEXEqhKtG9St5IXhn2ACLx+NiMIOGR4E+oh7m7rhA1VWVk'
b'd4eWUqbT6fb2hYOD/a+++DKlVIqJUG+VoU6H+hQqoKgC2UxSt2yvXLly7dq1Dz/+aNlZpEUO'
b'Lz0uaUQ+v3v30ddfuztE1tfXJyl/duduZwXAJEspJTHlnHOefPrJR50WBDXdPdiNMQS7vtr7'
b'MAL7FGu4jxxhYfq4/iwGAADUNMoz8+v+qCj+z38c90pW2kb8r09/XA0WHpF9fqYvI3O41BR4'
b'WNeJELO72tbm7OUXrrx49aIXyyPS/9Xdi+9/fEeJHGbU52hG2saxUMSKHetDILiAYetrsxtX'
b'LzEqo+Oow737X3fORg5zYZBTJrF+fXQtzpY4eC487pNoUjFlZpBZ0SZLWXZJJDExsNakJak5'
b'NhtoO59NJwJkBllpgGYCUp01YoZJk4qbAZME7brMCcAkJdNOUlJzYjWn4mCSKPrKUWc98iKY'
b'wZEj4ItlO2lmpahw1lIAYpbSKViWis+/fnx9dxbPJsCVneb+o+bpMhx4EjToIPaFp4NP9Wmv'
b'BKeTxLO15tYLFzYaMLBxKW1Or39w98F+26qLuScx1sXFteby9sbuhY1JA+/pNxhNhktTwvas'
b'+OzgEE8P5w+f7s3b0qqSZIKAuCHuSuFvOXuYY623JHxhfXrrhQsbGQSs7aytzV5696PPFl2n'
b'ak2TrGgi3d3c2tnevLR9YZIruUd8MCKTE9QzdtYMV54edA+e7H321eO2K63CmcxNnUJz7ZSF'
b'CIKvhIKeeYzjVyKynC9y4kQQV50vL23Odncu3bh+dW0tZwL1a02kQW2k5EhXttZeu3VNHXtH'
b'+uWjvQdPDvYPl+7CAFiIuQCduaR8MiTxTYdDKRF5KoZOS0GRBslcrSOUxunwaC7t4S++fvPX'
b'fvWt773+0qW1NJh51HfkhQmurqfvXNvVt3YVuP8Uv/uTj/7x7/yzh18dLBZy+PSwu1L29dCZ'
b'5ofzdtlKIxYouHRtt5TIKGVxaRSaUOho71/7pTd/7s2LmSEML0jABJh4qMOAhA24dXntN/+j'
b'f0P7aKEpIGDBAvg/fuezv/rX/qeDpSsa4+TglLkOIDNXgxUvxay4e1CEiqmItG3LzFlSzrk7'
b'fNodfplsnrz9lV/8xX/zX/31n/v+W5cuzFL/7HEoQDtT4Oovvv0qAZ3hpx/c/fu/9dv/6//2'
b'Dw4WS9cGYAMTsxZzJYByM2nbpaRarvbkSwkMPDj+w0cYvEczNTM3I5gpwWBtI2Drbl6/8hf+'
b'7J/5k3/iX3nh6lZ9NSGOG0mOqH6sSxu49OYLv/DmC3/pz/+p9z689z/+9b/xv//2P3I3R3J1'
b'BsFKONLNLSfWnhcxHv7/Hzq6egh7zHPv/SZ0IoY2Nh7ixY2vOnGHExYCTlCJTlCnqYrXaZ/p'
b'AUdUuGUSwM2UwETiwKPDg6fz+c7lK6+99sZLN17I6EtHEXprK7D+kHRxxlOPHr+W3R3e+EDg'
b'GZ9mZjUOXInnPgQTTnfCiQjA8ICn+2Hcb33g5Rve7mDAoB+rJ56LiBQuxEQU0YT+T8NV6kG9'
b'4+bMryhD3i1z0zRgbjtt1pp2WSrrUJjrQx0LQHHNDO2d41bg2jARiblTklJI4U1eCUIGQzV+'
b'5tSQcNcpmDiRAZIoexoGVViD0+lEEpuVmhTLHI+cJSrhcoirurt2rbtJSsKcUkp9tnT0s6Ly'
b'+bIkAJxd4VH0IKC2UCrtUlUX7fL6rRf7agyTaE9vABiATMwcZdNBHqGnGFQMQJpMRCGFrNZF'
b'/4iwdaU3gFfuQmZOKZmpgNans8uXd5m5bbsovgR4Kaqq0c5+DPhk0nRtywzaop2di6pdlXYQ'
b'ScKJWHuzloCj/X24Xrx4MTLQRYSBCxe2IAwgMcwsAhrT6XQymXivkufuEfUOIYpahWZkiAJw'
b'qCvMSswjVTXttLh5OdcA8HN8BkOnjM/EyjF9KoGyz/I+74v+UI9TNT7OPM45JzgO5wK0uvQM'
b'taWgw6JDRKaamdrlPCVJ7Fa6F65ff+XFa1sJAiAB2oIF4H5FN3YxVIJvpcp6n0c6fKnXLq6F'
b'zeHMUtrFjZduTnjQ9MLdz7+ad8Up9+0EPIJrmnIDuMJci4hEuv+qkk5fECAIOYCnzF23nE1S'
b't5x37WKeZ+qWUlos1IAm5cPDw8lkS7tOyOfLWqHs4OBgNpnMlwszWyzhjtmkaRfLdjHV5WIi'
b'YoRGyFC0FJIZM7s5iwySYRhtUe61jnoUISUKrQl3TkoorvMW9x+2t3YaAQSYMna21w7uPwm4'
b'617Vi6tH5cRbBgAOfwOpQsv6xtpGA0Gk0+LiGmaZF0WF0Lbz7QvrN3avXNlEg14pqucvdKZM'
b'Er3tNREDeQMX1meXd2YPny7u3n+wKIucZ11RNaTcnJVc+6zD3YWYCa5lY2t9liGAOzJhe43X'
b'Jrlt57Oc2+XR7sW1m1df2tnMg7TY4HJBUTDHFi2AK5ixs563N3auX9n54usnn979bNl1TZ4s'
b'VdXUIs1r1IbVcDzVoc84yCGJzN27tkk0zfKd19+8fvlCIxX3AzVLIaw1rlmekWtBifjCuqyv'
b'X3zx1sUHj+zO55/vHx65qrkgJY4g8vPpFw3Lnbsxi7saGMJEXjotRbmoHe2nbu+tl6/82q/+'
b'qV94fUOADGtgcAfFuAJQs9zg6u6ZkwI3LuD6D1/5wVuv/IN/8nv/w9/8e1/f+ZC9TNbXHXx4'
b'tJjNZkTk4u66PJrP58smTdydc0ISdz9aHPzSS9d++PbFKQK/gmPR0FJ5aMxFXYTIsDHwMR3I'
b'AFCADPz6D2780//z5t/+e7+tPCvOdf+jOhHcClRJS8VbFLqOtFy2k8mEgS4lWKFyRMsnf/yP'
b'/dJ/+O//pTe/cyNwfzCmpZeV9Ki92b++UmyW+O3v3Hrr9f/gz/xbf/pv/Z2/+7f+9t/Vosxu'
b'mnLOqtp1HXEyAoqfNoCH0TVyX63MAHOEDolZTP1l8m5nc/PP/9t/7t/9c3/24oWq3OFuiaIy'
b'aE1VD+vHeyabA7OMn3vz5vf+i9/49z78C//tf/ff/9Y/+sdE5EaZEcuIuhPBgJxzLdRSx4xi'
b'hDyG4fQ8e8154xHAmf610UA9pqF53g57og0nMPGZN69OUyLu32noXVIiDl8siCi5iIO06MGy'
b'qNHNWy/duHV799Kl7CHeNWSsrWSdaHTAhwe00Ipzdybu96BVkwayDfUO/gHfDD0wmAfH0f+p'
b'B3zm4jQeaee9ujG0Os+SoZoKLERUa8IMUDKJu49yA3xYR7/Z0mCBleI2SWk2m9ETsioLWz3Z'
b'NTbSU4BWP6vSNzG5IJkXThN3NwMlaVIeZbrQCjQiWOfsYOLCmbtOj44OihNgjTTBOE8pLdo2'
b'nOU9mY1rMSyiZtpE+jg5UU4NC02n2rWSWCBhEzKISAghIlejfKoqxBuTja60XrQyg8zYUbpi'
b'akh88cL2dG022IeRnzDkG8korcHdYWVlVZJMp1MwRR0DcqiHujFUCzOTeQlMxZQ5c+Zpbhbd'
b'8uDpfp5OdqezebvcJFa4tp0zedHi1kgaGwCA8+ameYF5M521i+Xu7i7nKTNLL6tqTszMjMfM'
b'Xdft7Ow4c0ppuVzuPX68vb2dJhP0yxczHx4etm27e/lq7IgYJohar19lUfDAyIec+4hgaFfi'
b'0K50hYsUM37eCMAfBMHTEL48dpM/KvY/AAylrZ9x0Mn/jS0iHp/Tr2hDzCCyL8WtgCmy8aY5'
b'LRdHk5Rg7eZs7TtvvLazPREA2oEJxJDkTkZkwEd37kYUAtzvpM41ty6UcU9krBJhVU5PJ8LX'
b'L+9y74886vzzr752UKlyn15KKyLMlFng1raLlBjBHVvJ4JzkeIgITK0UcitttzbJH3/4Hjmb'
b'mRf90TvvdlrM8emdux/d8a4USfy7P3qHzIr73c+++Pyz+2bGSd758Tuqxo57d+/c/yJ1WqYi'
b'S7UkmRN3Sq0XKNEQhxmRGGMmU9QEKYXJiSjnvOxaJm61IGWQeKIvHzy+cvHqlKuf+/J28+XX'
b'vvTOwerEkiPZ6KwxyR4GAHsSQekipiG9Y1UNa5n29g6zTF65df3qDmVAIpQUuKKqKiCzDGpj'
b'VY/bnUCJsJ4w3Znubt/86N6TB4+fTvKsJZi1p0vPPPuwokQkKal202kTD5CpwtIpeyK10n3v'
b'O7cvbjVTQfKIt8K8btLMjCRD9xKNpMMdGw1u39i+trv94Sd37t3/UlKmqvVUR5efyv39Vs33'
b'Vhk6yenS1vp3X3ttY1ZrOQNApTgHoD7WQvRTgD2ot7h2iS9fuvn+xw/uP3ioJJ06MqvqaRAQ'
b'x/kLGsUegASoE1FGFiSyg1lj//Kf/MV/6ftXJ6iIUAAHuxtHecwhbzxSiJnMQIwGcODWFv7i'
b'v/7zv/DWm3/lr/3P//eP/69m4yIkG+dSymx9PSK1i/l8ueiaZtp1SyVsQXPONj94+eZbMcYi'
b'uFRr/HIioHSaGiQhtxKSXLF1V7Ozhs2QgF//Yz/46//L3/A8M+cWYAEzh0+XagHvHtyAnDhK'
b'2OuiK1q4EZRuez3/xn/yn/47f/pPSB9bqzT0cCgE1SPaBrgVIsqJABNmBV66fvE/+4//4q/+'
b'yg//67/833xy74v5ck4pk6NpGi1KxJwEOlp2ei2h1XsPp6OF6p2TOTPP5/NJInc3KHn3gx98'
b'/zf/8994+YWL0tsnXelyygqXni5vqCTjKtoXBowpsZjjrVdf+K/+y9/8m3/n7//lv/JXnzw5'
b'QOliLU1c/RHLrjsxaBzBxThjPI1h5fNvo8NVPajtQf/QN6tbnaGSNDI/VgmXetyD7iPCyQhP'
b'V9pDkNxr+dgoGFLLhuTOwZyqm4Om00y3r29e2NmdTGYwd1NKqa/OcQyGU82mRc39XDn1V606'
b'8RQ8lAUY9cxgooztATemUyef7tUz7MnRn07i+x64j08+htTJnrHCDAaJ1w6NhBzvujNcEnEK'
b'MeBWU2HIIn/U3bmv+2vmAE+nM2dSM5EBwtUmhZ8ytqpI94GBWQCwQNwEiTkV1clksmiLu0M9'
b'qn8YKFzSVZPXKYrkGrGZt512asIZYTw4mmaScz5atG1bUpOZk2shUCJWeFGXPOm6btm2bWcb'
b'F7bglFPKSUSkWNgtkZDEQ9ZEIiZ2ZhbCw68fgCKeIKZdcQeMmTmlpXaqur6+TpCKeqsWcdUL'
b'4ZFBWMOrpSAsSUk5ZzALkbqHGC3MSmnD0tBSMjixkLBQIkGTsmhzeLA4mi+uXr7WmFrRTotn'
b'I2FXUzfuCyfXb+GwTKxbLBdtWZutF7c0XWNKORKsXQyRveld23711dfr6xvgpG6SmnY+n06n'
b'ebZuhpRS6B/Ol2UizWx9y3rfZZ0O5hG8NTODwsigBPQ2gZIoUwfq4qoQCPPzcgD+YN6Lf9EO'
b'CjFYIhxfwXv3xTENgZh0cD8eAfCuXUxSYpQb16+/8uK1SZVeM6kcZVagA1rFex/e/ezLr7UW'
b'ALLIyfe+WJiTO/wESCTA3IVhpqTd5SuXpw0NcOH+V4/my9a5EZBZIYaIRJK+WWHH5YvbTZP3'
b'9/fn8wUkOWAj2Y5hHFhRZmQmYdlaX3v7u69lFiKogjmoBCEuBCKIoCgQnmaCRZ0W79MkGMxA'
b'VwGzAZTRKaz4k/2jO1/vPT1s02SC8Gf0NcyDgSQOEUqMje2t+cHhYnHUeSskcMvCpRb+oMPl'
b'8vF+e+VCE1nqWxNcWMsPDjsjdgIoA4VW7pdezyegW02iKkaWiLLExhgrvSVmdPPtWb554/rm'
b'BghIgATkdgeT925GAMTQCKHUQdKTg5REaCZ446XtjY2NT+99nrjpAALZt7GNRcRKcS3slrIg'
b'vsiVSQhgsvWpvPLKdzYnIEfGgAudiGLoBpbxMG+iR9xi32XA1adCeYLvvfHi5ubGB5/cKabF'
b'nFj8RC2hb28IsIO8ZPYXr19+89UbqdpRte/MDMxhjlQs09c6l95GJbggVSoX8ObLuxc2Nz64'
b'cw+OZekSJ5zjAji3ScyqLiJF3RWJZUIwn29M6dd+7Y/fvgwGBJ7CgekV1CjgtXp8HwH6f8l7'
b'82jL0qs+7Lf3/s45d3rzq7mrq7t6HtRoQASIZbAwGEmAgSQ2rMR2IDYsoyTGWCsQvMDExl44'
b'ixiDCayFybITDMJC9jIgA17GIMm2jESjoQf1VF3z/KrefKdzvr13/vjOOe++V1WthsSQ4fuj'
b'6r37zj333G/87b1/+7cb4rjU61aJXBAeO1784Pf8lx/6lY/+bz/3wQky40xCZ7iVJ1pajFGj'
b'h04PIJbM1QB0dLy1uRN9OSMwIabOBiIQCGnQXev8vBoMckNwacbEgK2tzSILw2qchW50I3VX'
b'85SoQkamjfMsODjpE6hZnolbiVIffuDk//T9H3js1HJwMMHVaouEyLWOziXDspkLgQhwBVGa'
b'kBkhAu946v6/+7d+4Md/8mc++eynS1Uwm2vKokulCe9Fg8aMZ53NLalFqQ06ncl4x8tJsPK9'
b'X/sn/8p/+5dSvC7xVIg5C1kiAkyBAG7peUYUUkSF2ODCYm45sToC4Zu/9ivf8fRbfvhH/meL'
b'Za2z6o60rFLGUYqZkRlZE/u7i9e5ffID/75xa1HmF7QZ7nVBCz3v1Y13fd28JtmnA4I5uHsV'
b'FYDkBZGIZCxZcv06c5b3sqIo+l1L7FbOQpCqqjjs1SRKnUIOIdHmoDxQwrY+j0BE4pa8bXLA'
b'34+G5jrbOdRkERzoDZph+LTfDvt3qQNwv73nbKcd6KiZP+3XR6pzxQ0HRpnbcE2zqzMlJNq8'
b'PnNnu2OzamJp6fGSo18EeZ4zswRu6lx509N1r+x9Qd2zAKFu5KrGbNE9TqsyxgcfeIizIJLV'
b'xXuYG9ZOKtTAHAKYKLCZV1VJ5uvr66+8/LKWVTtGNbPLGqUdYoDcISGvopWVStH9ind/1fGj'
b'x4IQrALAlGWdgurPrJvUVp+HECaj3Q/94j/d3d4y1TToWZaxY1xO2cWdxuPxoD+vqtakvbea'
b'KELMe8abqapxlux3EaEgeV6wCBNFVXityh4sr1F7dHcnSHqqkLGZzfcHW1vDneEwKzpQ5Rw+'
b'nTJScBCqVXKmMQdmaGUhF4tqcOG80lLyPA+5S87MORMza2KHO7nr8tLhMzgbDf1+L5qBDBs8'
b'nIwPLx0ykBAnjcfdyfTQygrnRXA2mpm3Wj80AIVCkUw4VU2EnzQiqDl5QkRm4S45APfaTfYW'
b'WDp6/2BOvz+yCgD3aDMepllu5RvbP/f46nWJi1TvHERmbWoLsQHAXK/78IMnlwcSGishDUcV'
b'jQKmjvXt+Nq5ixs7O44wkxfWuuTTv/fkM7i7gIT4vmPH69EmlI7rN24mTJlyVtyJRVIQihVL'
b'i/NPPPLAaDQ+unro86++Wqb+SCO11z9MDmImjXDtD4ovfubxnBLqaZ2zcAIT0JAYE1YzB1P9'
b'b+rnFEZXBxdIrFwiKNARsFC/6E8ijctb5KYO4tyd4Z4kH8gtAEXIHji1ZBG8mJ89vwvhfq+7'
b'tbOtta8TZi7gtY3NlYXDAmIgAEeW5jaHtw2mFGLaI+pBT/vu3uS0tCURwaZEVE0n5kWD6AC3'
b'lYXBYDBfFDBDxg3KIVGqkVnqNgeigwlZiwUb4WERN68rLx9bCVl28tzFy0ShPKjf9QWaQEgc'
b'ZMQeYxm9UyR/uUPNlxYH988v5AEMZGTQCKnLtClgqI2TtHVWyZIhSG2WOciEAE/Bf5w6vpxl'
b'2edfez2TUNWnXYLrbYkAtMqbX7Alcc8c9tSjj5w8usw1YkvI1UHEkqXO9JZG0PBbkoZdnYZp'
b'FUMSFzkajq92QnjgtfOXTVMi95sqAjDTnwDINPPKAnGwMtpwZZ7f/c6nDvVQ1BsFRfUQGITU'
b'jZVje4TJ1JyYgSyg30UvJGFcgEAkqpWIFYAI/zff9JUnD6/87b/3v26MRpDxdAd5CKqVGZTY'
b'oo2z3rAYwNhYdsrxv/qtjz/z2Dfm3X1UeybEClkADEmdJjY2SYpBcmOQRGBz137xwx8eTqeh'
b'O19WpvBOUZSTUWhpgnsRWiJQsoI6QTLyuYX+29/y+F/77r98aCG06J+YYU4czOFSj9G0BFDX'
b'LCwCDAgkKS5AALvmJAocngt/4/u+60d/7Gd+82P/XiOBMzWYECS8cc7GLLJJJycBcTIWVXf7'
b'83/uv/rz3/LeDtdsPTSoq3I4YX2rPH/56iuvnZtMJuPxmMgXFxdPP3D/ieNHjh2az4kISHaT'
b'EMzAhAePr/y9H/mRV195WShNTW7lAZKHu01YsGRtNwLKb9DeAHzPvj7rPN7/YuKNCPYf1rM1'
b's+9s1oztgbWZ1Fd4JsZCrjBjDixSqY/H4/FkOqni3NzCkdVlCTmFkOUdgEMITsJZ5u4Wo7tm'
b'IVASfw3iICRJdzJ2wDmA2PxupZr3DI/EvWyZ/ATxNgFgX5LAvp7Z52h/c1bTbJfibhRlaohh'
b'd/T/zBilaZbYpDPpB7PXtG9nZhImeOt9O9ADbfm5u7Y29pOiAYkoxU7EBk2SQSBPjmemukBb'
b'gv617zK5JCGsSOaXRPOs0/+q97zv0NEjVRmbKizU5gAAEApmpm4KhScxSr9y8dL5s+d3q8rM'
b'YiTmIBISSVggNX2QyJkoBGc2osDhvvsfOHn8hHkMnNJza83dtseSkxvuKerRKzqDwWB7c4OJ'
b'LCpMIahUmRlMpri9sc5ZyDodjc7MTknVwIkoMIuLu4O9VnCSUsyS4RpCAAkHYZCkvPSmiosl'
b'pbWYZh3S9XmeE1GWhU5vcHN9g0Ne5ORqOTE5SOAKikIkIqk3iAoqtSyyIpqNRht5t5Plnazo'
b'ctYFGllzMGpVRvdy5MSjyXTpUC/AzWKn2zOzvNMFsZsGZKqVuvXnFopuB1YXMDMzh7maWa2F'
b'pW6wRLxwUkVMjs7ITh5ICMzCidFNts8AOLAB3WsuHmj7r9sHX/z/Ej3gP1J7Uz6YO22A1rfT'
b'HlCJXMyzJ1YNVZHkvchAHsmNUT146sR9x5ZyAlIlz0Tqd4oMCzxWvHr2yuWra5wXSgHUKEMm'
b'46Qx7b1Z584H086SpSuEIg9LiwWli4k2d6qt4QQcoimBRIRQ8/LNLBOZ7/fHw+mFC+effssT'
b'yXr3plzfrMGWlAfZq9XFuS966qE6O5Nq+KhAmOkfaoBhqvGU0EVrQSaMUjMZWlp//RYPRN0i'
b'D4TokTgHSfKncHPis1DKGT138dLDD59cGAyOHl+qIpaW589evFxTsZhMaXt3MiqR53UoZHEu'
b'C2xlIqemXAdqRm3fqAJAjFUeuKqsyJg5BGq9NcyEQ0vzycMqjVWgxs6IwNYQm7vT0XhcVmNV'
b'dTAzB6Feni0OeguDTierTQnmmqdtwJF5yh44/vrFa9GSwcht8tz+lngvbQUDqCoLRbWCWRgZ'
b'QYGQno1xZHmh6VgDARLM2QnRsLk73twabo9Go2lZxQggCyEX7mbZ4kL/0NJiJ2euldMMRsli'
b'PHFoTuTR519+VUHR0cpoUF38FYC1tuudmZHe5JezG8GDx7c989Sh5YE0liE1hxCAqWJ9c+f2'
b'xvbucDQpY6Wm7iKZ67QjfmRl4eTxw71up6bIubeL5uhi4Ifue+X1y6M4gdw9qe5eLUXY2UEQ'
b'AlXj4XI3fsWXPL3ShQCUivgRQ7gEJo7Pv3Lt05998eUzr69v7uyMx1WpzNzt5IdWlu87dvgd'
b'X/T0k48+vLyAjCCSJW3pDAYP7/5P3/L5V9/zjz/4z0Io8kyIyCp3dSdorKrJeLK74ynnR6uX'
b'b29+7w/+gz/x5W8d9GQ42hqPR2S8NDf4z7/+q2uegrsTXblx6zf+zccdxERkbqadTifrdXbH'
b'5S//y3914eqaFJ0YI4QDhclkkocAA7ul5ChzcoKRptKceSgy8fmCv/wdb/ne7/6LvRySjAoH'
b'CTtgRJXj4pXbn/ncC6+9fvba1RuTyaSKUwB5ni8uLz/+6MNf/s53PPTg0TSbyYnJAuC14Vy6'
b'AAAgAElEQVROmdP3fc93hBB+7V//dukCgiTFM+eDOUiUKvfsYSYjgLj2DEdl0mDxG973NX/h'
b'W99bECgR8RxgUqA0fOw/fPq3P/6JT/3eZza2dhxBQe6aS4haktvCXO/h0/d/3df+qa9597u6'
b'gTwiCzWwywhLA/pP3vGEq1G9cYOBwMxe41Svsbgj2bR3QMB7tXudQQdeTwLDmKkw9Qbvutex'
b'9sbP4zPQsynsWhHJaDS+fuPmzfWtSVk9+uRTJ/tzvU5fVTnvmhmzmHulTuxBJJVPja5I+jC+'
b'd3OAyC0ZVrDEH0xbgTanqkmKWs0g+7uYQw3iibGWrWyc4ncxlnAPR14qup4I1Hd80B6zCDPv'
b'nY02zFzPgLaWSfpr8ofXNjVTU1GRjZAxN7wnjzE6E1k9gSxVwoamOuLthxJRezaZRRIGCFpR'
b'kRfdjogwUl5Lq0HUeGFSmAAgc2pFVIkARJDk2Xg8liyI5MPJNApPzTxF6sFp1SC5Esyh6nWF'
b'gVBqdI2BRZiEkJ5ftUoCBoys7XOCC5rQjVoymMFScRBk5lOtKpK9tGPTunIlubqam2YsFHhx'
b'cfni+XPdIleApVCrICxE06rMREajUVVVvV5fM6S4AzUiAgKCu5mFEKIq0ZSIXE1EQggcJMuK'
b'NLrMqedrewmm5hqh7C4UiCi9JbGSDh0+cvbc+bKKCwsLu7u7naLrqIVcSZiIpMnHMFivGKiq'
b'VVU0my96eacb8oIlS5MwzZfkpnDXrJjLs040dDqdSiMg/f7crVu3pFaM4SCysTHMsqzodgBI'
b'CNKsXHNVUjYkXhCbWYpuamKUJ7EgStiGKVBIBpgC2GcA3Cvytc+ibS6tnRHJrXswNLbHirG9'
b'm4D2ae1bs4r+sFpdwLx+moP4ft8OuceqJLeWlt3Gjh3J6SuMJvBf9xJLJtPpmClRX5zdluY6'
b'D508vdjNapo4Nz3g7IwSOH999/LVK8Px1Jg08VDNYARqSqLWsthW+0Y5yXQ1Cc2uAIiEQDA9'
b'cmi1dqaCDLh6a7OqUx48SBZjFAJRyjUndb95+/aJo4eefuqJK1duJ7Eu4pQajxCCusFc2AXO'
b'Vh6ay97+1EMsdSdsT3xjZ+hNjLKmNTWe/v29mmbFTOl1wBAACHnicqwu9rtCCoSMtYohyxVw'
b'4kqrrjiAypi5KC3ypJyMyyceO7l2O3nocenSpdOPnMwlxMogEi1y4Oi8vj2aW+kJERxZQK9X'
b'lBP3SsGZw+odv3nEFlizOzPMIoc8ahWolirwNiJbj0sK+osSImFt26/d2twdV1XN4WSWWt3Z'
b'CLfH1eWN9W7Gh5cWDi13BznIa487zA10aCB+8sir569WILfMhZs8ObYkQE4mtecA7Kx1HqO5'
b'gTmoV2SptlcTc4ezKTED7MQKREAJtzarK9dubO3sJsvNnIjYzGxSCoN9fGltMw/Xjx89fPzY'
b'6lzOAhYGAcEhhGNLPX/soc98/hWRIkZLO5p5zAgOjSCvz60UDkgWMiscJE5MINIIjRnFpx5/'
b'5MjyoJmuCkgyC0vH6+fXrt24vr07EhGwqJkngrtbLKfDrZu/8+zv9jvhy7/0Sx974vHEjQmA'
b'sMMdzkfmgj147KUz56Nzqn6lnpTwmdOo1WNXE66IUlwKhgACwdxjWcZyvPnH3/UlR7poDD0H'
b'VIknwH947vIHP/wrL796NhW5dSY4p9JgMixv7vqZm6NPvnxtZfETX/q2p977Ve9Y7KKD5F8m'
b'dwTCA/efOrp6iLOehE5lOi6r3dFkksQi8kDkVpUKtXKqppc2J//ww78xnexaVcVq6u4rPXnf'
b'17x7kBsRg8WAcxev/NQ/+ieRsn2bGZETu5EhOAAycoMjI0tlARLbd/9eaSIdg/e7vUdPn/jA'
b'd/3FuXwvMQNEClbgcy9f+KV/8S9/77kXypgyFF3QVAdj8mtrzz7/8gc//Ctf/I63fuOfft/b'
b'Hr8/MHMqyU2eETnw/u/49mvXbnzqxVeEuKqiiNRcLtTVqRlkyaHvRlSHftRgDLHIHKJH0fKP'
b'vfPp9/+lbykIUJdklBMi8PmzN37ip//hpz79GYQCFErPa5Iu09QBzghYH+nvPv/6s8/9g3/+'
b'67/5nd/2X3/xMw8SICnbGiZe14AH5+6JEQ2NkxQu0HSkuEtybMg+4k17bs4ibOwHpm1Ip8Uu'
b'RDQ7Ggm9eQNZU8279BbFzKek/TaVzbIakppZcu83z8EA0t3JKOVLJsI5s4DM3C1GZoawRt/c'
b'2Dl74fLOpPIsYLBYFX0lznOp3EnY3JwS4dAdcDgITKnqXONlMw8sRM5MsOikrtPAZKYAK0wa'
b'H3AjvRJFxBJJxhBCSNmlicZRT02LkjZNV0BSkSlqmUIslgqcNCXh3LWF6K2PoY0qWNIzTd1D'
b'MNS/1mFv9dT/KX9UVb3Bta7G8FTsNgXIawSpScOaqUmnbh7bAAsZAzytlCDpwdydSYhZDG7q'
b'lArQCtc+L69XcApNOohDFS3v9IhcCIRgHgmUVDEAiGQ1NKtJ9ckmrr84qZKhyNysYuQe7fb6'
b'+tKRQ9WkHI1Gzuzu06oMLOzssepRUI1mvjsa5nk+GY0R44UL56wqmXwyGUESDR2jnV12qGmW'
b'SznZnk5FQMPt4XS408nCdFo+++nPLV+5vb6+ztPtXk7ldEJEAqrMdodjcyq9Mo/BUeT5n/76'
b'byjy/uLioplNtFLVTIJGEyGk5UY8Ho52NrdWDx2OVSSS5LgRovpYZxcwzIMQPLi7M2dZFkJo'
b'ElHalSRObMkJwrDodblkMwkhZAlMkbl3e52ik1fllODdTlGWpQThpGbGdbigHvpaUiUmteXe'
b'oC+SsUiretTMuDpYSUSLK8vb25tmMUm5dDo95hDLqtvvASC38XDULTpFljgOaXeoI2YgNgKR'
b'qRpADIqqrpXF6KqwSORmMT2ha0KD4n+wOgCzrbUB/r/aGuWZg9+TGvp4nXhdS+57NZ3kmbAZ'
b'4jTATx4/euroggAhpdk5ICHdVoFhiRfPXr29vT2ZTJhToSgnavf0u1hHtMe7QOskpoYXS7CF'
b'uX6bIVAZbt5e18YjUE0nRVGUZSkSHCrEalpV1eWrN44dO3Lp0iUQ5Xk+jUnl1z3p67BbVZLb'
b'oeXBO556qBBUgAHbQ/vciy+NSp2JUuz9S7UX7s7XKdUBAeCoq5IRVNgW3/Z0Sm6IMUogmBKz'
b'VdN+lqmOCRxCHqOSe1R18Mb29Nr1GyLZ4cOLjz5+cn3bplU9TCLBzMyxtTPW5Z43ruX5ue7G'
b'aJOQwc3JZsvQzvQwvGb0ti/snxK1xZN4xaKOiePMhVvbUx2VbiROdYaceVIgJuVAJKC4W8Vq'
b'bev25ubxQ0vHVjreXMRwAq/MZfcdWT139ZZknUoNlDiLTUnTdH7XbItZwhIA5gMed3d4zdMw'
b'mDOXhorw8uvXt4bj6aRyYk2HIksVo0huaOuA6aiyc9duXlu7dfrU0ZOHFtHwvFyRCY6vzG2c'
b'vO/MhatFlpcaE2Xc3bzRj72jmYAnVZV3ulqVhYjFyYOnTtx/bKXxqybw7Qpa34nPv/TK9ris'
b'zChkYDYzJwEHB5vBoWqsRmvr25/67Oc2x+Vjjzy+Op9TMiAoFUKmQwvF8MTh85dvCeWVGUtW'
b'Q4SZ8TQ64IHgFGHXWLFFm27/sS9+8vAcZ+lvSU0D2Y7ix372Qx/+yG9TMe8u0WpnWHIxUCB2'
b'yYLIhPt5Z7QVdz75wmdeeOlbv+lPve2xQ3n6eIYCV67ePPXAI53efMi6lfskVruT6aQcMyHL'
b'u5BeVN/c2S7NEQFkMVsw6qlMlSZRS825cmahdqNQZJH7U07CETUIq3O6G1JsY/Rak0OW/JTN'
b'kvTERGZXLzLpd+R7/+p3LQ5qrdhoSiwKjA0//6Ff+/BHfj1SFnmupEggFsqYJZCrxRjVjNzY'
b'9Heeff53nn32m7/ufd/6zd+wMhcE5BaJQeC5At/7gb/y3/0Pf/3izdvdrF9pWnd1/gLMwcmk'
b'8JDqhDAxSWLTiUg1HTPj5LHD3/3+7+wK3IyFASighN/47d/50Z/82ds7Q5cOcT6tIklol4gS'
b'GrFjBkmQ7NPPv/pXv+8H/sw3ff1f/rY/2wtNOkq7vAhu5ASukxv2HFjUEBi+4EnYeGrfVBQa'
b'96b0tG3WJ33QpTXza+uoPvDK/ofZgwUJ68YYYwU1N8jUQKFIx10ivTjQeuXTw85GLBuBmpbY'
b'Yu5mGsfjoXms69M4G3vSaNfKRUSCUMOnT0SXWrllHwWI0RT8Aupk5Rq1O4jby2Yk+OqyRwrz'
b'Voe0/e6zBteszXagDxMdvP7i3tgTzVRFvZkQZrbmZNTVEQryREtL2gD1Rzu7a0qmcq952602'
b'd3OX5LCgvW2fSbJQ41ffG31vRJzaWVGXIp3J6CMiWDQzgE2rajq9vbH+MNON69c/+MEPVlGz'
b'oltpZBCiHlta6hLlgXfHo1tr6wsLC2VZxsl0d7RTmYowAk9ixcIkgEFEQFZVVQhUWcncHe3u'
b'dDIel2WVdV96/eLi0G9cuTy5cWGhk1xB3usNRuMJ5f3OwkJp5Y0b16BxaW4wLstlWVxZWWEO'
b'gIuQu0ueWVXWSjtqZnFza73mESUlWANS3zVlAYT2bfC1y9za3Mu7hIlaw4CFW2XPZAeCfHV1'
b'dTKZpMiAyF7xNyQHMe3dJJWN29nZSVXMOF2/L09jb44x09LS0tbWRnqFmTtFr7bkHWlNjMfj'
b'lPvRDnH74D4jlZtWb4ylq6pWSSe5qioRUYuNC5jc7P8GA+D/Xc0bStKb2XybtrcJE5KKXDo5'
b'GEB0EIcsFFMnVc9zgbFXJXtcXZg/dWx50IEbJJWEZQZCVHeBAVduD89evLI7KatozIGCcLM3'
b'3TkpgWYZ73cOtVelt2RZWFpaQnKgEe3sTkbj3ZB1a84P1FGBPVoViC2WmUiM1c3128uHDz39'
b'9NPPv/BCqYgU2KFqgQmuQpQJLwwGzzz5UNbk7G5O/HOff2kSo9YMUm59/Giq582+sj8CUJPv'
b'iThZM0ngtvVksSdEZYXArZpOR5mIOTRWBBehQ4ePZT1cuLA1tUyILt9cX1xcPHfxupE4SUOJ'
b'diDs7IzKaqVT1BykpcXepevrDrcGAP1+Wx0pRS3gpcBIcf7KrY3dUYnMiJ2kHT6GMbG6wczI'
b'2RkcolaT0i9eWyvLhfuPzAeiDORmCWIfOdy/tTXcHpdCwRo5jnagEzXzTT04EZC4zCE5t43x'
b'0qsXt3fLyutMZSGJqqZ13DntLGmRsLCa7k6ql8+cnYyOPXLqmHujIAS4++n7jq6vb26PJ0Tk'
b'MK/33pYIdJfWKYoYKyZ3i4sLcw+eOiloc8fZCBVw8/bWcy++OjGoc4otaDrha9E4Uq0S0Se6'
b'SRaU+Pqt9Wn18iMPnD5xdNBhIg8ao2RBgPuOLm3ulLe2hgRnmFHK3WwKpc60xjAwIgYMJITp'
b'EyeXnnlgXppxd4dzuDXyv/n3/48Xz15bOHqqUjIO0VIpqNTrJMwSQmcw3xnMZUWeB6E42fb4'
b'M7/wkXe9863ve/fb5noA8Mr54fownnr46bn5parSrMgrt4lW0+mU3JjDtOKdaVXsjobjkU2n'
b'6eBSraycVOUoltPVPpWaEjASxw1Fd76/cipwDzOQrkEDrc8rLbM6NVCcjdjYDGgEaxWmgbiD'
b'yfu//c/evxrIAFKAwDIGdkr81M9++N996rPd5Qcr55y5UBXUZNk8z7WKOzvbw52tcjosgg3H'
b'23kIv/QvPvLKK6984L9//31H54UDuxMZEx9Z6f2193/n9//NvzOpRqDQ+P9bxt0eIGPmVMsm'
b'VQo3eBaIVd//Hd9+eKljqiJ1HogzPvIbH//b/8uPly6cdcqyAsoiy1M8c3YtowGtZbTAYuBf'
b'+Kcfvnz+3A983weW54KAoebQRlQxRcxm5sz+8PibbER3qU27byru//WA1YqWu7j/nu2/B+D+'
b'nil4tye567MdaGY2HA7TBeqN1ln7LM3z1uqWyXajWhGFEoHEraysmox2d3c9KgWu7YeZKYoU'
b'xyaqs6iY2pS89ilnUPte8z3ICyInureCeTP/m5Vwz/oN7Q1nOzAJYbcX0MzknH2g2UP5rj1c'
b'WzUzLyazolY32nfI3+XBiLgoCq7PuHrfThwWbphxtSJnXY1hj/tQD10tl+TEfuvWLXbphw7G'
b'1WRU7vgkK/IQwv2Hj83lXG2t5d3cR1tSDsMki2XlZiIS3apYqgtlMlVDLAuClpVI5kSVIpoH'
b'KkGmLh4C9eY6q0ez+ZWH5xeul7t5HMayXFpZWVhYpO4c9xfD/PyhY4dfeOG5y6+/tjvcubm+'
b'dXT16MriajfLDdEdasrMVNcZkMRTvHXrVr2U9neR75WX3hvuOwZ376/elDBLFzAoUadaAyD1'
b's5stzC1sbKw3FQCaYWewUK3p2nyOqorQ7u7u3MJ8q3HUzJiDMw3AYDC4du2KmQVmmOV5nsqw'
b'9Pt9IpjZZDJZXFycXemYWfJmMZ3eHlVj1FhZ1FRF2D3C1VQtVtLEprIQsiy7iwHwB9jR3mS7'
b'0w/xh9l+P6B/prUd3aj+tJufNn8sy5Lybp6LVtPA2g1+8uixIyt5nlRN6iVH0QCGCu1McebC'
b'5eu3bkeiQJlI0rPYgyVv+lFtdh4Qo9fr9AsiwI3AWF9fz7Jst5yEkCOBLY2g5LBNtQk1BJlW'
b'5XMvPP/2p595+umnXzl/YVxWmQSmALWF/uD4kSOBrVNkuSQGt2/slM+98vrOpJKQKeqEASee'
b'+ZcYB15hchBJTCk+9c7abJeEEEJVqQdhIAvMhJMnTuR5rlrdurU+mUYPMjUNQQ6tLi8v4rXX'
b'bps6Qqg0Fp0uiCnkVsdUE8Ofhakqy92h9jIJDAZ6Ad1Mdsvaj2N7Ccxvejq0zjPm0mGEs5du'
b'rW1ue9ZzEiCgUakLDIBMLdECmxFlSG4eS/UrN9cBnDo2zwYRNriAMuD4scPDs9dAQgSFm8UE'
b'hWcegWeU1lNHJjaAzbyUsjVFHU6IwHMvnt0ZlxHsEhzW1mgkQpZlZVkS1aUTKRFaEJioMjp7'
b'6ZoZHnvwWACIYBaFqRvk9P33fe6lzwfJDSFaEnvZ57uqaWD18WmOionYnS0+8ciT3QDXWts/'
b'Opxw49b2Z59/KXIwMLFocriDOWQArLSEYc1rQDaJCgqcdafGr1++Fu3og8fnyJBlIT1IBpw6'
b'cWR3eC7GGBUhy7WuJ0V1T7ZpxQA1tXzcnaHLg+yLHj2V8kfqICBhs8TP//Jv7Xj/xKNvNYtO'
b'5pKbkzsY4u7klvb6ot8NeUeynMh7eRanY5qOzlze+N8//NHTp+4j5mtrt5eO3k+hGzjrZ5nB'
b'O0wDwDwyHOBpxfNlnK90WkbTikzTzHarXKcWq+U85p19fqDB3NLb3v7lI+kB8JpJ33DGKFBD'
b'BU550e7ODqFgSaKIIQnAWWSLOdmTpw59zbvekgFEKW+wNnf/+a/97sYYb/+yP+FZx1ErxpAj'
b'yyVxNsrJ9ObNm1cvXVxfqybTnSIvzNQgz7302vf+0A//jf/xA4+cOpwTqZqIifM73/74V3/F'
b'u371Nz9WR0fr79PuiZ5SGkNgN48xOhk7LJbi9hXv+pIveetpMiTmTxmBgH/zb5/9uz/2k86Z'
b'GkPBzATSqvIZHNCulNo5wRxjhFvG8rFP/M729//gD//QDxxZ6WbCDE4yR8yIaiyc0lVnAcTM'
b'snuj+jntD3vo5A23+jtOhHtefKc50XziQUujNT/Sp89ikhb9E1MIEkJI4MfMtje2q6ryTMxd'
b'mNwaO8gP6vmkVgPQZBKLxDKOxrvDrc1yMhJXIjHz1taguvQ16uorjfEQY0zrs0U5bWtJ7fvt'
b'h71+O/CV7+wZoprRe9fT9s7+rH06dxSqSDN037bnPsuCvrNnUpleJjqQ8u5qjbLY3VtaDure'
b'6fSIxL1q50+S95h91Pbj6qBjHbUwEAnIAQnS6eQbG1sx2tLSSsh7meerh1YPnTgRWB6//9T5'
b'5z5jhk4QK8ednItAWpoHmpSaw/OsqJhNAgfKssymk9WVwwyUMSbSVDQNIYynGtDpHj6Zzy3v'
b'jCdRy17RGRS8iy0rpyvLh/L55bB4ZG0ysaz/1Nu/9Omnn/m9T3x8ZzyJ5t1ur9/pT6Y7lWuW'
b'S+1Ga4qaZZJtbW2V0wmFgomazram2/fIEe2MSoCeed/ibaxxtCsiHdntlbOzItUnTkXHsd8Q'
b'3fuNk5pFbenN9QfMTGl61zfcZ5Ck1u/3R6NRWZZ5r6eqIlkIYXd3d2VlxV3LsgQwGAzM6nT5'
b'2c3B2yoAqSaZqmoFd/OYam+n9Vjv/+55nve6HTP7w4sA/FGi/zt857NBsbu1VhoDaMV468zF'
b'hv49o0stgdTUYlUwFrvZ6VOHu6EutORmRAwzCIMxBa6uD89euLIznkrWsapSckvoCEDt/4B7'
b'LZpzN0aFoc2cbZq7kyuDFufn6lcYADa2tsty0ukMYrQYyzyk+zsRBeDo/Se7RXblypVhjA58'
b'/qWXHjr9wDOPPsiByWHmcM/I5/vSKmq7ReJw9vzF8SRO1YssmKk34KnNTHbAZ35Ge7og3ajW'
b'+qAmuOYwd8tzaagMSm7HDiWdoWzQO2IEY0wVIWA6xrnX1zTCQFHLPIhW5p10eARyuLM6EQWD'
b'Z1Js7YwOL82h+QqDfnc0HRv+AOA/OSeVAIcoUBHOXd65tr4bOnOVulMT2KgP3b2ULCEmuKIp'
b'EwcOIXOjKzfX8zw/sdIxQ2goGisDrA26G7tTS0HH+iiiZlxbvZ03chS5O3kSPMXUcOb81e3R'
b'GKFwcFRPOgBVVaXHK8tJcq+mY93BZm5mcOR5V8vy7KUb3bxz+vgSJ6EJmADHVwcXFga3toYU'
b'AtBIOvjdqwFTqmpNJMCRleVDCzkcgWEKFjBhbat87sVXlQt1d3A0r2EWRJxVNVkLAopRnSAh'
b'p6iKEBFKD/Ds7LVbIe/ct5opwMnjRVjs4dDy4vDKDTgIHvaXvAGw3xHMADMi++jUifvmMsAi'
b'cXAgZVB84nOXdmnx5KP3V2C48r67teLTSDTsvOiCeVpVmUiYnyeNYlXOdnW7CowwtwoIcZaF'
b'VMzSCWBBRgW5AcwZZZ2ia25m7EZECmcHIZJbjOViVoZUiYBqBNLvdh5+5PSEB2kKwDX5CNKo'
b'Yb8nzJLAtzMAJQZRgIPM3ciqDvSrvuyxZtqJqqugBD794hp35h978i0uWeUcssJAqiqELDBM'
b'iShOyyJINRlvba0xctUxGdRcSc5fX/s7P/oTP/ljP0whiRFXLByAb/sLf+5jn/rM5rhyu3P2'
b'pKAimRmD3T2Wk6IovFKh6lu+8es6BCGDqTMj4NzVrR/98Z8aVe5ZMAexMJG7hsAzsNBmk5QY'
b'AAfKyM0qR5Z1PvviKz/6Ez/9Qz/wPYOAAFATuhep852abrTmJvulL+guB/zBFeF7Nudd212B'
b'adLzufPWrZf6AF5Bg2+Avf3igOlSC2XNoGF2MCPLJZX9ThGA6XTqxcCJCQx3ELQ+Zw5gYkp3'
b'qP08rpPJeDTc2d3emgy3UJVZNou9tH6YmcgDkv1AcPdEYqnlF/Z/35bH36oOqJrLLPRnqvVv'
b'3KxydzQ4CTPmxOw9Z17Z99cDcLD5W1N9bAaQpb36gOXW2kIJhCUDAE18441H/MAoO9zMilQf'
b'ymqsinoU9p62GWUDXGbCFUxMdRqSCzwPsrG1NYnaK7qLx04sLc6fevTxwydOBoJubI4JnBfg'
b'MKwqd3WoCEG1IMwP5kLIncLg8JHFk/cZy9kzr77jbW998NR9m1u3siyrKp1WmvUGU8uvb5bP'
b'X7y5M9LFXmcgfvbmje7yYNDvOjCY682vHtq2UOS94USd7Ojy8le/9+tzi1nekcH8YDDY3rkN'
b'RICqWGWSp9mQtrPd3d3t7e2l1SM1sEnfvp6D6Us3mJxby6HF621H+d5h7cwgEJrh5ma5OAAR'
b'KYoixqiqyUOPfTdMtgMSL4sZo91xp9PpdDoHHgAzZm1rtPb7XWYej8fzg4G7J4pROZ6QOZim'
b'06mIdLtd1NCSWozBDqjBDGZaxaRhlOrSuDnUYOo1JQ8hSJ4XqnrzxtrFixf/MAyAdvb/IXzW'
b'Gz/D3s9v7lneyBivbwXAAtxsOig6xw4vHVsKtUJO0oavdXw4OnZLnL164+KNNXWmUMRKmYLT'
b'DFdydqe4x1cgAKlSB9nsQWBmQj43N5c8CARMDbujETNHrdxRhKyKJTM0xqIonnryKWaMdnff'
b'9ranXnzl/MbGRqXVK6+80u3kWk4hLCC4DXqdo0dWYNbr9Q4tzqftuKyiEeVFP2oKcFj7hM2H'
b'33MIiMSSTw9IIV6Bw8mJVOGCZCgHxvWbQ2Zm8us3bkcPSmxOIeOqHJlCpKsxFlnoFrK62t/c'
b'rOCm1TSEQMwwQsqSlmx7NDbMARCgcsz3ilsbkzc6eN+oGdzAksQf14e4vLbORT+S+EyAr3Wp'
b'ubswm7uaOgEkEE56IaVVwgIUF6+trSycLGqT0xhMhGOHFrd3rqiJk4gEs8aOaslnd+3h5ofU'
b'rQAUKBUbu9O1jS2XnIhTtDyNhYjMurXaAy9NSBEhkvE0ZiFj99cvXD6ysjQokmNWCRKITp04'
b'fnvzJdfIHKIpM78BpMmyLFYl4A+cOmmGIh1IAgDjCi++/JpSmEbjLLiTwJjJjMw0cYSIwcwW'
b'SwkkNWvWNdGPstxFStWLV64tLdzfD8gI7J5K0p44unT95ppHMzMJMnOuc9uXDY5xAEyY62VH'
b'V+dMVZKeCUGBMzfKM9e3s/kjzHmHc9epQ2Vv/2dCKpvpgJFwNBCHdFRLcgppJDZOKWUAh5yI'
b'plUMIdVdALkRp0KqLhDJpKhtOaMUsHcnF4fCsrksd4eRNfWtkOWysDBXcB9ASvYlbjx/M3g3'
b'DXHS+0upLAohouApJxyC6tTS4NhSbSJXZQxFmAIXb1brO+P+4kqlauB+yKJ6NA8hWKyCELwK'
b'RBbYdOH24lwIYbg7yTxa1LxTTMvKnV+/fPUf/dw/e/+3/WcMBBF3ZZLDy513f9AVy8QAACAA'
b'SURBVOUf/6Vf/XXi0J6O5C1CTiw4U6v5J7GcisUvfucXPfbw8VQHAUQKjBV//yd/+ubGjklG'
b'EJJE2nZmdjUzS9oj3OxS1IBLB1S9k2dVBZIsRv/YJz71kV//6J/5+q+MXkucpfPbgOiNTH1a'
b'd0nkpPn5riddmnW0n3b/Zk6i2ZPrzju39zyI+/f+OnPlHbdtAOPs2k9zyQAXEZbE5vfJZDQe'
b'j32un7JgDenWpPW8BeCzGQuJkg3TshoNd7aHO9uxnEjKMiJxn02yOkhXq/sq+dpnvlpD5d+H'
b'2me/dQvsDlzQ3JlntaTeDPKmu9G02mdoFF9mgwn74jx3vUMyACwJzQJNBQkINfkJb2JKJApQ'
b'm+194LvMdMLelKtfhJspWMgBKDkmo9F0WvXnO6cff2zc7Z9f3/CllflOB2oTwyDkk0npRizB'
b'qtjN8oiJEfohBKHt8UQn40uvv357Z2dra+vw4dWnnn6yO+gPh8MCvtzpdfvLZ67curJ2dTjc'
b'PXX69GIvvPjJf1+RX9u43e/3QgijslrOszDhlYX5oZB0QmW6tDCfaTUup70sDBYX9JLlhShZ'
b'CMHN0RC53FWreOvm2tFjx8vYyHNQHeVoDYA7R7ztjaajZvvQZ0n/7c9oEu6TD76qql6vJyKp'
b'Olt7t5nbGhFNJpO5fl9EmLiNHbUGwOyQMoNIsiwbj8ftudzr9TY2NlSVmUejUYqvApyCAM02'
b'YmZmHs0sxtIsOhqhrboZmgyWPM9VdW1t7dKlSzdv3qyq6j+6AfAFjdo/gvYF3P9v7h6UDDNk'
b'RNDpkZXVE0cW+jkygDwKMWBuVrsPCdduj89cvLK1O5KiZ6YaNYioJ+oE73MbMDGzzyiC3a1Z'
b'yzZL0k+ACtGg1223gt3hpIwqkldRiyKrqpKZGd7Li7c8/dTOcHjmzBki2t49/MRDD7zyStzc'
b'2iGi0XASQrBIU4tMPt3aLsuJaXX48OHVxXmRLAIUMk11Qy1pbgg1xlIbB6gNnzrs2JhSnNgX'
b'M1s/1YmYJFzGSHkAUjEmXb+9lqr2RvMqlmA2g0fPhKNHj9OMqcjk9IOr6zer69dvuSAEgRuc'
b'ktxIUhqeRp1EZAFMCIR+UcgeSN2XuPYmBz79P1acu3g9FIPSSGNdf6tOBkUT6mBOZUaclDik'
b'GluW6nCFzF0t8KTys5c3n3hg0YAkHlU5lufQ6wSdWnKne0uaAt8dYPsBLAugThZWwpnzF50y'
b'CWFcGeAkwWKliTPtnsjTMUZmphlLwBNmFVFzZqk8nrt07elHjqU3Ak5Oh1cWB73uzkjBTJAk'
b'9nbHo4m7Q6PGKhPqFcXKfFZTmsxBFAkXr9zY2Nn1LHcmMLmZxcqda3VsYSGCqWoFUo8xVlO4'
b'5sLipqrsUNWceVKWFy7cePKhI66eNNbIeZBjcaE/Xd+OrkCwWm5l39CnI5xSTV+3YysrGZIW'
b'DCyqBdlSfOL5s5uRAReY6ziF1hOTIe34TG6wVLbaK2UKxCCHmVEmZRXzPFeomoYQVJWJVSsk'
b'8WA1IjIY1Bip3Le7q7uyp6x0AgUw3NzhWRAJnup7poF2gpOzuIinzYEdxE61gkWLgZBy4g0u'
b'REkESkAgC0kbV6hwv/9wrwDgMCDLQwTGjlcvXI2hqxyyLERVJy9CxuZRlbPAbMFEGBGW5TVN'
b'OQ+MyshtOh5JlptzrKpf/pVf/ao//mVPnj7unmRqiJ3f8yff/Su/9usRZA4DU4pNzGJK5hgr'
b'MDFxLMfdXL7hve8Rb/Zz4lLxyU8993uffV6KXmCZlOYgYQrMrrEo8jJWddTRm0FPU5QQzXu9'
b'jjtlgJN35uaq6eTnf/FD7/ryd9630qfmSRioUi2hGbjZPmArGbE3+e+GVpMy2BuCzt+Hx2oW'
b'/d/Ly9bAfSUiSyQKdr+brdJYFACQWEDp9cl4vLu7q6urRGLJweVNxcPa4WVW80xAgGuExaqc'
b'jHa3xsMtnU7YozCq5Okyp3Rx7cisDRWb6bR6v5vZkWh/fzKzk5AIGi+GCOldxmWmY5sfDlwz'
b'Cwf3u3H2APSBIWv3ecwYV40RRbMfcSc6V9WU2FRj9PavUHdvVb6bj9zz67c/p2RQiLTBsVnL'
b'Z88mdPbmME5/0mSqAcmjz8RxUg43tw8vLDz2xJMXxiWvHLl5eztbkZ4UwgGKclqyUifPUXkW'
b'OCMpHW4xFJmi3N5ZW9vZ3ZlO807xwgvPH7//1ONPPNVd7rl7oLCxs3vhyuWpjg4t5V3sXHr5'
b'3K1bF5cOrxZFoVUVMtmaTBZ3dwa9lUiIAb1BV6ejMlbCGFexm8vioRUTMk7lfkn2ytTXEdcb'
b'N248WWviGNFeNcvGSrjnENN+mlCKx7WjlnLQ93qy0bvKsqzf708mk4WFOXdjcOLj1h/WwLK6'
b'/Jhqt9tNeWFMNaxv87brB2ugk7t3u93xeJwS6sytNze4dfumeSTPRqNRr9ejlGu3F3l2b4Ja'
b'WpVmFVLNhjrYVScQJvRvZuvrG+fOnbu1se7uqs4h//9XEjDgv8+6QHdJt0oHgboxsQFFoIdO'
b'Hlte7mWUhCOcKVFl6qhbqXj59QtX17cMGUIRq+TPdFUlwoyJ2XC5GhL5m/k6QFrOYGYhdPIQ'
b'GkfHcDxRZ1VdXV0+ffoBc3v1lbPT8eitb3lme3vz3LmzDoNnN27cYI1PPvHw+tawKjU5NRJI'
b'ZbJOIUdXBzlgtQRfPVVFJLqGEOpCgwBqJmQSO57Zbq3xNRElwJcevfWapBZjTBkpavUifPyx'
b'B4RRAWvrXjW1ALnhicJZoSurcunS1vZmZRxCgHqkOiwjRAJhdY2O4Rj9udrfG4TqTO4vGN+5'
b'RzODMW6sjaeKicaQdUGWZI/bb1f7XJiZ60C5w5KQSMotUng0c6dC8vXN3XFc7Ak4zRh3Jprr'
b'd0bVyJg16v6sO9SD3haJnNnm9v7unqqSXbp62xGqZGpKcHdVpVRCOOUqhKCq6aQ3M23lOwBN'
b'ZcyEVaObXblx88EHjs1nGaxKvsIMWJ5fGE42VY1ZzIzv0adpG7I4PXryGKe5hBQ2p9G4Onfx'
b'IiQYZ+QeSyXykFQimBRsFktAQMzuhlTJxd0TETMImVnIMlUjx831jYfuP0JCwQnQjDA1rC4u'
b'3Ly1KRnMjEKYPUrv6DdlsqW5OfI6s4KDlMBnXt25sLZrxbxXpY3HiTElIswpFQxeU8DqHhDJ'
b'3CuqohtIuCynRFTGCkBgGU9HzKzjiQgFodHU2WcS+GpKdJmcr8x1pjRqHVoDUFoMoVQFpN7R'
b'UuisqqaVJRlQY1hyRKXhdAJDwPWRZoDBmPaAhVkkckAc1cp8CA22g7kRvXZpZ3NqkV1jVKuy'
b'LFM31RFL5lA3uJq6MZOWsTSnIFmW7VYawAZjljT38ryYVJOf+4UP/fBf/+6cGVaBRAin7z98'
b'+r77Xrt0rfbkQahWOmZG8mMl3UaN6gIa9PInH3+UKNEsASAa/vE/+WBpxFlQ9aIoamykZZbn'
b'Gqs8z20mHjKLm8VTKMBDUcCiA51ef3N3+NGPffxbv/k94iB34trpMwsf2fcA/ewOcOf8b39o'
b'8ccbe8feAHG+mTYLozETK8D+gPwB4GhqyS8gwlmWiVDycE8mk9FoFN0yljQS7Q6z38kKAsjN'
b'tCqno9Hu9u7OhpUTYRO4R6Wk28Ox7YE0RiI8e+pRo39wYI8morTikls0QZskAURUl8C6K/qf'
b'BfFNNo3Va9b2+oH2beB7/U8zFKBZeJ/uB5DIPihFREkidUZmjN01WTxtKKM1GxwGry2Zuzz8'
b'vttSHZxhbv0+9RJv2uz8TNNm34xlrmlIMGHxSbl1+5acuj/Pc5rQYL6vno3H06X+oNObr25d'
b'7Qc2M6GQEcNcHDlT8n6wYDwdD3qFEkbRiKp//Zu/tTksv+id7+h2e9Hx7Oee/einnq0c3UH/'
b'hec3qCoXF5dPPvH0ifvuQ6w6mVS7m7e3NrudRdHpcm/B2UvB7ng363TRKYxlbn6RRGohuMS4'
b'MAM0fR8Gbdxem07GWV447Xn2OFVLmjGkUw8kWN9SuWYnPwCQt5Sq9vp24RARXN19aWlpOp3u'
b'A/EHJ4+iEcJKRcTSn2bVhw60dOXc3Nx0Om18cxRCSDRdd59MJktLS8ysapxKLc4Y9q7RPHqM'
b'TTq4tZM3fePpdPr888/fvLmWlII1usHn5+fuWQhs3/yb6cR7XXmv9/4/qe0Zx290kXsDaOtf'
b'269mxA5OQgBMrKbMcnR1PiFJViOGw0F1QD/1vwgWl5eubmxbQsbCpMbcuINpj/mTGNtpP71n'
b'b/JBfmHd1Ip+0Qkw81SzaXt35GACnzxx39XL10LGb33mYa2wcXv7zJkzqW7FIw8/Muh1Lr3+'
b'+msvnxksLoGpikqSAWRmgShG4wbXJ7PTkZJK3NSSvvC+1q6B+rcZ58fBb2IzcXhIk+cqjNgU'
b'2iwdClTqCe0xh0gAZTGau2a5XLi4ubE9NOtxCNM4zkMwmzqMPY+wOkLiPq1KohwAA52cskyo'
b'8iYS/ftqnEKEEbi9uZn8T7UggOuMI4fB5p6EurlxCVitjZFkyOqjiiIA4pvr0wcOF8ktnTNH'
b'x+HlhctrWxqYqEjFGesJSTyjUGqz3ToTWax9IZVjbWOzcqJQqFodc649Q14XSzcNBNOY/OLC'
b'nCalw1lgAFlNaZxoeeP25tzRRSJOjAs4jh05ev7KGucdMxfiOxeXg4nqaikMLC3Mq6OTwIyR'
b'Mm7c3pyqQTKNLpIxiOHkVXJSgYhYksSIg4m5tDJpuErI69sKPNUfjeauZy9df/Kho5XXZWgD'
b'Y2l+IMzqtWOEII69CBs7PGFdcgZ6uQz6ITQuSQd2FJ999UKUvsWSOYAZDHI3jxbd4CGk4uoA'
b'UJmKZBZrfi4AV2tTtgiiqszibuRwtQTf1Z09AGTmQk2VRxDIyZ1TpcrEdna4axJXT++VNpZh'
b'bmbRIxElPf5agh0uECN4NM4CEbs5kcfKssBmaowUHiSDm6/ODXoZpNFmNaKJ05nLt3ZKNkwN'
b'DJJJ/eCgakIwMmcBQTgTc5lWmEyrKpqHTqUVAqk5G4jCNLpQ+OSzn/78mUtvf/QkUZZmSS/D'
b'25556syFq061ZzjJQaLWSidXTQJjic/z9BNPLM0HR12f10DPPf/SmdfPcui5kwinOROYiALB'
b'JWRwpLSNmrwxA4zYalFuwFPkBwQK2Uf/7b/7L77xPQUBREl4HkgVbuHu0ORBFEKdutouyAOH'
b'5oF1ceC4fDOnp88qRO9/4x1oZu+YdksMByaqHcwJPLVge98BZ5Y8rA3BwDqd3N1hXk7GN65f'
b'ffThR5CxmNbonJPMpechaFVlqWy4eTkdj0bD4c5GOR4JmRDIFKk8bVTJasza6Jv5HiY2Y+bk'
b'ktDEc0hwJ8GpBs62bzRVbjRwErRqzIY6kNLS/dsOqbFyXaiFvek025Pgk6Zj/P8k7816JEmS'
b'NLFPRFTN/IgjIzLyrKz76KnuneHOcMEFBrPAki8EuCAfCAIEF+Bv4U8h+EBgX/gH+EASXHCA'
b'AWen2VvT3dV1ZlVmVmbcEX6amaqK8EHNzC2OrKOnZzm7NFQFPN3NzdXU9BD55JNPuJNczJh9'
b'Pm1gFLZOKXecje4n2AYoXl7tVdtNn5lDCCGEcekyR11VWdiUcj0q9t7ixuikvqIWkJdlg41G'
b'I+dciCGjBrkHeoN182QzoMSUq94LuopgwkwOBI3mhRfnZxZDwUVcV8a0O9luFryqYrm1VVEI'
b'VvtCiIwFjhgaHTNpdmdEVcflNGjZICaW1ar613/5f53U1X/+X/yXr755+cnvvllV7uDx44/+'
b'+BdVvUAdptPpnbsP/NYYaaVxvX3w8CK+Wqzmd/b3fQpCjp2sAxlxo2hCOHhwH0xNjI4cDJE1'
b'u+IpJRJh5vl8fn5+/viNJ01ssUgZJKD3dsgVD1CVGZnin70vFoKydqntQ/i/Gz+akgpzTgOY'
b'zWaxabz32Thpez5pDqLnMupnZyc5T0BVM2LVj5xry0Ie1Wa2tbV1fHxsBGKCkfe+KIoQAlJi'
b'5un2lsK89zFGZkEekCEiW/sxmVnTNMycYGpGEF94AKNJ+clvfvPtixfT6TSEoAl7dw/e//DD'
b'x48fu0ELfoBueGMx+odv8f8+VB8aygK3Bm1rnV8j5gsL0BLYmQDOOITXvOAC1sUPHhzszOtH'
b'Xz59TlIokMyE8k7m9CfboNd8mI1bX3hPgHQ2eBOiGkVLs9ns0aNHqvr8+fnp8WHTNERCxI/v'
b'35+Oy8OXr9585+1f//rXZ7NLZp5MJpfzGbgQsKZYsB1+48ji/YODD99/Sw3EcM41zVJ8YabW'
b'itNvKEA/+JegbEpoNZKHt2bWEfIgv/nNU7CD+OW6drkUC7UljSDc0pc5GcRIYwyeMSpY1Yeo'
b'SROT5BQYcrKqGkMBgKDUEfss1xMB/cRxIgZUDULqMrfZYKm3yrWtTNsCP5ZpxvkZ5c/BDIVB'
b'iJIZiBWyWleGsuuEJCTewTlWautLZGcp3ZYAcCuabWZKVDWIidTa4q7X8bSrB9uVeFeHGatl'
b'gjSMWM7nc314RyDZS2agFOeci5mJYgPIcYNPtEwUsVR4mYyKtk4VaQa0Xx6fGHhT9cIMebM0'
b'E6KsbGZMGY8nNQNbV42NDGKKFJk9UgIQkl3Ol6sa0xLRIKbMXBYYj8exisrEkPR6CIBMx6Nx'
b'H+nKfs7JJRZVVPYj74wQDElNY4SZEyLOgL2qUp4OZsbeCTG1MDyIzEjMTMgU3FlyBBgTa9aY'
b'N1OFqiViNhJGJhcJCNSW9mMSQjQyZnZk0vmX3A4wlda4NSI2th4aTKC25FOy7JdQTh4LMXv2'
b'ZkYsppGA7cm0G6tgcCQ+PK2XVYypZAEbFEatZKEyWk+DjBSGAFUQkRC35ogZgUGhVYolNiAq'
b'/2//+7/+xx/9S1Y20oyUfvzhB0z/q4gkE1Vwl59NREgRXWAtpSBq7779ZgugIqss07/51ScK'
b'hpFm9DXny2jKQXfgCkPHOtpJt5YSt0lJm/EL4MXL4xffnX745G4r85/dws7EHAKr3y8rvAER'
b'fwQIdct3r75zbf/9O27HQ+PV1DRXqCUVR44YSZumrlWfPXt2dHJ8/+CeU83Gb9PUl+fndbOe'
b'jsajwhdeHFMKsVot6nodQ82tMqKamkGH+Hn/i13PsFkuKHLFVuvB2jYMdsOV6o3jmx9d6cDr'
b'n2zy1gD0W/vA1H5dhLA7kGBGIEXGS1rQ0MyM4K7e5q1NokEMPOtg5GP4nV521CgvpO1XmFnY'
b'hWu3pD3Tr19720Zn9yDCXNZcTiFqABCVNIXL82MWsJOnz55PHtiDe3f9KM0uZ8X2jrJYzGRV'
b'EYhqdAQQPHHpvEtxWox9sf3uGw8PF1UNrBYXifib744++ezpyfGlbt19Y++tdz76aO/+PpNO'
b'hMjQxARh76maN1SOH77z/vrssomJm7q5bMrt7ejLVdQyqYrs7tzZ2tpaXqbsx4IA0ewpee9V'
b'U4jp/Pz8zbfeRmzlbnJEiN0GyO+fxcYDHB7DpwojcsPz0c0vEcl5ft57s5SBvxyPGj7TjCrG'
b'2DRNs7Nzh4jEOaKuEFt35X4N4W41ICLv/XK9stYdJfHOiOoQVJWdjEYjVTVLzKxJAQgokMbY'
b'pFBriiklWEqakpH3hbDP11zMV0dHRzs7O6vVajLe+tnHP3/z7XcnW9O6aTbVmH9wBblhq/1+'
b'Qur/zo7Oqusr5v6oI+c0beZ/TmzqdhRYL++V/2mpq/4BmIG45xiRIefz5S++8/CgWq1enFyo'
b'JfFlSNFLkWLqpY6tl095TYrCcNvoXg+CUMBoNGKgTxNdNyFjAt88+3axWJnZ7PyiSa31b02C'
b'WsEyLkfOFyHq/t7uz3/2QWjqk7PzZy9eERO7YjJyj+/dLdi2traIwISQBW5B1ApCk1HrbyLD'
b'xnkf7RgU/etuNervTruGM4CYVK21js1MRO7du5c9bD08FpA5HzUlVSscQBkPFRYDEkUovXF/'
b'b2vHR+CrZ6frKs8oc+JCU4W44X0J4JxDHYHvs4ZvPQzI/KF1jZSy408MgkZqvcTXJegOnmMG'
b'sy2Jk6hQMiIs15ViNysT5VZ5QeFcUNLsUBqUFGBFC80CmQSpnctB1rlY6Gbrel2rmrJob++0'
b'sQgbhGQyXsLDFlp/RQBIUDMYhM9nlym9KYyU7W9CUXjvfYjK1AFjNBBLz/3WrRXe+9FoIGlK'
b'tAp2Pp+BRS2QEXLBX43aZThZS4nuHF0iztxjM1ITUwctLAnFDHgRo2maZdVMykK6USeEyaic'
b'rUO7Rmsm0ii3gth9Qwmkk8nIE7JJziQBODw9c46nRVl6CSlFTck0JjDgvY0Kl28qqqnmFDt4'
b'75mSywIz2fuiDfDJxNwyXJIKKdgMMRlFa2OMBHZUiniinFVsRp1KmMvGpmdpE2Y7L1OIS09K'
b'BN54oUqcUoKRahIix8JMBCWynCJLTsBOCZ4tGTmz/d1xNjNgaqBEuLhcebMxGxO36S4dMgLr'
b'3bGcIW/kWKKUQiWbpMjWqCY2FcuDKd9O+uWvflU3/3JcbBbVJ08e96lyrdN73fZly8/F9P13'
b'3+F+HYYo8MtffWJw2tOZuhUIRGoAs+aFIz9potxvOU8JbdBrEMcH1Gi+Wj199uyDN+7m3Tt/'
b'5MsR2r3ciDcboX0vWR/thL1+xs2NdfjRDUP/+65/c6fjQbNfR37tknfJzIjZLJkZMxXiylHB'
b'zBa1cG61WoUQxDuvBo1gZ+swOzs+O341mUym49GoKEaFZ+aYmpRCDhqbmakyAHIgmDWZu5id'
b'1K7SERw7XDVC2mn+Gq22oQ3X//Nmbwys4VvSvYaew61+xesMh9a87nTb7EZ+Qt/Im24AQWwQ'
b'H+j3caJ2QejP1KuXsjYqyAwTEe99leuuEERIlYLmZSJ3brcUEwA2AxsBaEydR9KomojIkY9k'
b'Z2enq2at5fbug4PfPv92RWl3e1qTxZiaROPEDPHEpgZryZm5SINFcpNROdnb3n+8/e7+Mjbr'
b'xenlbLF9/8kXTw/dzp3t9z5s3Ki5c/dSmbVOSe9MimnhHahg742qul42wRXj52fHD+1OWZaN'
b'jwpapzQuzZSno+nO1u7i7FzAxogpFYUjaqsNZo/x+PAoNqH0koVwstJn9zi0/y9P2ByHH6gn'
b'bYhXRDkkcxWkJ4Aox6ZyQlXmFjYxFqPRxnLTzm/UxER1jKo6Ho/R5bEAAEsv/No/0G6RMmGa'
b'bE1X1boOzXg8hlIM4ejoaDIdFUUxHpdlWSZT0zbDwTquV4yxaZoYY4wN2kWZREScA+DL4vTF'
b'89WyEpHxaPrWO2/ff/hwNBmrYTSd/rQ6ALd50v+wj98333ezcFCvD3jd+gdyeLVdWB0XarhY'
b'49nzw4O7u/fujhgIalmBfiT00XtvzhaLRZ2CNt6XIURqU93+jknJnFk5pRMbPL4mJJAAsWni'
b'yekZzGIM3ns4F2MsnX/16uhg/+7Bvf1/+7efspP79++/evlqMbv4kz/5o4P7D5OCCMLYG7W3'
b'HBK8ZJCjVcNVSsSFdT1igw3b6Pa/9BqabMblucPkNDYP708JiMDOzhMAIYAFJKgBZrCiD7dn'
b'j2erwGefv7zz8NH29nZVz3OsOaVI4JDihjWTHQBENjWW4YL7Iw8D6rpWo+woCvFtl2htz6HQ'
b'9xUBHzLrcC8iaeo6RAxTckQgItAs/Gf4PSJFwLpqcuAcZq6t83WLzuKVuzPbtB4AKSlAlnNd'
b'101oYirKza7sBSKiTWTq0vWueFaZpaoCYmjpc9gbaioEADHUjx7cAzgkZXaaULgcdm/X00wG'
b'68YMk0GbsN4d39+ZwtLu7u7W9m4xHie4dk3kiSc4aN4qe4/Md4nHOfvtdWucmY3KfKbmnwPh'
b'cracjEvzBYAqphh1va6adeMJhRfn3Lj0RJSShWSqSsJCWdc1cjZwmGEOORQgZkSeBZaMnIIT'
b'cYiJFLmGY0ipKLz3xchLweRggKlaMunikKyqrmMEdU0HkZTOJxYDwGJKSqxJ1VJKqlELxyLs'
b'HROxmAZyIIXzRIWZMRmrSmwmRffsDKZKTrYn4w/euKdcEFFLRxpkFmaTAx2sBXCM43tjezjR'
b's+NHZAGm1DsAxEawFO/t7+SfyUuNIxzc3ffer+uoMBJnPU9FNRMn2PlM/obiYP8ObZ4Tqgbn'
b'l7No0GRGSbI7bKkdOUTJjDKN+PqmwGYK62NeOedaASKQc6OT00vKPi3BDAoURe6gjaGwQQpv'
b'6MQPeql93VuKP2jQ/6Tjx+Nc13Hizu3pIMycaaXMKH1RFkWdgveFF2dMzOyYEI1ErPBv3D+Q'
b'uCp9IY7IgoWUyGBWOmc9NcXYmADSHP266tKgddg2BnFv0zOzdhSL3sjGcHcGDd+hLl56zRYf'
b'WOE8/Onh4n/T7BmuZNfs+Os2PdHQdRycw1f/ufFVYlRr492dn7AxCq+Hd7pX3NUDhpMiD0Iz'
b'y6QpABpTVxHZ1IyvDkXN9qIwSGARYEumSGR2cn5SayBPW7tbd6q4SrGaza2qJ66suCh0La5Q'
b'RYxRnDBzAqUUVXVUlCvVs/PzlfOTGH739Rca1uL9xWzZuMLv7S1VRncfzy5cGBU7E+9LT0Ri'
b'Oi5Kjen09PLo+HQ+v3RiBdnx4cnezvadB4/Kne2lhcnIYkHkZH/3znfJ2HOCOeeaGETZOZcJ'
b'bUR0dPSqrmtnXhXee1g/sI0GYO61ITF8PYRWbz7ua6OiLD0R1c16m6eZprix5jNYRdQ0TVmW'
b'uZFiZoScotKfP1g0lIhEXNXUVVOvVqu6rl1ZVOumrutVtfz222+3d3bu3r17fnlRVRWT29vb'
b'c+xiDuNoIkspBksxJ2SyE+FWtzhzmaqqAiAi0+l0Pp9/+eWXb76j+wcPKMFd646BV/TvBcnn'
b'h49+ibl53NTavPYG9QvPLYdmAqIRBYCAxvDq8PL58SyqzZ8fin9jf8sJk2VpEVAp9PP33vnk'
b'0y+EaBlqcGFMSNpnpP3ACm6cZX0Hd3RlmfDeUxsBkASEqNov1wpHku22ZAh9TAAAIABJREFU'
b'JmlSK0TU0svDV++88xZ7F9fx5OTo4w8/iPcffv709NtXhyBRjXfvbD/Y3xGLk3F5d3cbrXAL'
b'aTRhdsxh0OThKHo9eMLDfu+JVQzSCAhU4bNbf7IEkcno2XeHasLsDCHBjHw0c+SgyROpRiWo'
b'xXcfP3745iPyePZqDqAoinWzdj7nv/dZHQZCn4jDpj/V/M+QQhPjlV2fWjtfW3YKdScCuXha'
b'91pbzkbmxCcWl6m0SS0GwAFgQyJDW1hw0Iv8Grt18P514yOEkNnJRDBL6HfZLlZgZh0CceUe'
b'NwuiZaOViSypElMIAaVwSxACdRLeoM0mBygbA9R1L5tFInIs1GaTt0b93mT0H//svX40d626'
b'4kMMPShLYIYMcuvMoN0tWBdR4jZlRbPsEpi9LzPE1u2v+b4zzb3DSdtkh5ygwyC1VnQyOKMm'
b'xTrpclXNl9XFbF6tlqWXsiwUxOykldXX0G7mmW/F2Twla0cFU+oYzJxRNIWmZE0T1+u6WtXr'
b'qkpmOzvT7aljoZH4nBucomnWTgElmIgHtxos6KgC2llXRASixBLNqpjWdVwtl1Dbno7H45F4'
b'FgYlNUYiZ2BjadFHtdisBtWmmQkCvPdw9M6DEdNm3eHuifSTosfjO0hjN/7Fe0V3of4rqTtZ'
b'DZ4Ag+8gt8LJdFzO6rZMUp5Z3A3IDpAThgpjazoZDvcQUogpqZlwUiVSJsAUICMBcr6nceYj'
b'5aGdU56pZ00qiNXa4JYZGSwaVlWTFVvQ+aHcSQnlAMJmsrw+/ncTUP4x9vr3odA3zrz2zq1t'
b'6c3la+f373dU+GxDZnXCTrgmNqtlFaMmAqkSqRMZF+XWeOQIoBww1JQSEaXQDDVnCZwsS/ZS'
b'7yvmK1OuFBYGcthdY4gom0f5nWRmZny1tFlvTqEzxPujPc02b76uM6/ZP6+xfPpl/JbrfN8X'
b'7aohTlBYjIMcpG625SU6pyV/X1PNctXt3sA1JghnXz/bK8ZknGtGdOQTA4iiWuLEKkJMGZko'
b'KMbm5Ozs7p17k7JYLRfRpru7e858Wi0x3V1US/HSaPKm7MdNkyJjXBZgTSGmxKtYvfjsZfw8'
b'gSglY2YTFu9m3wJ+PHe76wdPDt55d/fJG0I7josJ+3q5/PKbL7/4/Ks6Juc9BA62V47Ovjue'
b'Lpr7Tx7LzmTVxDgBibv38BHwS+Qq1GAiyUtnWySCMJvNZrPZw8ePUnYXQTkUUhRFCPW1h3vt'
b'CZptKED9aS1vjWTzLWFizvnjOY14vV6rqulm7A2vuVqttra2EpKQB8DMaqYAC2cRDiZitEuc'
b'iLx4+fyv/uqvvPeuLF4dnejR8c7OblH4O/t7h6++CzE65371yd9+/tWXe3fu/vmf//kv/uhj'
b'JOTUlC7tN4I0F8xx7HIOZ16pdnZ2xBFIQaqq8/n8iy++eCvaw8eP3H8YVv7f98GdRdKG1KBI'
b'kcWZUQIMOF7g1auj1bpaBoh3sam+ePrsz/74XUbLZGWoBx3sTj58561PPv/KkQ9tIdqfhuza'
b'dc2XLijRPew821OCqqmZpWQGEUmqISoJw7jwvknBe3d4elaMyo8//uDz3312fn7+f//13xTF'
b'aL5ugpIvSVO6ODuvLk9Ggnv3Dva3t41zZSbRTOtJbVAkY2f9X9D1dzYZFNy2PyO7/eDLgBMR'
b'RJBFrU6PjqJZJNc0xlKGsHZCIEQLxJIQUkpgF0JyI58Svnl+NJmMFvWaSFIExByzxWTMUXsy'
b'EgOtA0BQs9eJ1nxP/wOElMyYkhGRJKgQwdgIBs6KJGzoEvU3xPrcWZr1GclMExHBWmZsjJHh'
b'DCASaG+FExFxy/HYBKN+zKFASAOYtsMeftL9srFm7RNCVmfMuVY5VtNHE4go5Y0ZIENXg9ax'
b'mWaDUI0YLifLdJnuZkYZM23Pz91EA5mzwfv5xuXam8h8l6wv1XcQtcZfFvhoZbKYOZkRwRGn'
b'LIh342hFPAmbmdXt0CmldR3m88X52eXs8jLGxibjlJQgQuwFIGIYG6WunCcNXDgjMphrjZV8'
b'G0xEmrSum8WyvrycL2aLuq6JnfdONbKxOGIg71GEVuENhCxJYH25pd4Wz/gtcTJStaoJ80V1'
b'uZhfnF96YWbs7kyZfeFybrZALarlHPMYNdZ1PV82IePkHcchwrtu/lLX/zkk1XYUDz5UaEsm'
b'KfqT+8MyNRdmaF9kP1cTjCejwrkcvm9txJ4CnuMqmnItiIH7reCcp2IWoyqMmAZkF7YBsT+r'
b'i9IGYW2JKNzmZKVcGTpHTnJmjWlqvSFu/RoCXFFQO/Q1o8g/KC7XA4Q3DbvXQUw0OKHdfW7B'
b'mH/P49pS0KOYeaQxt+O27eQUSYq6rmezmQ6M3byzFOJibDRFL0RkDCVQ0NQ/O0AMyYyEuVo3'
b'wm04rgdQUkqtm9A1xqwt537Nuuq74mYP9G5D/9Fm6r3Gj3otuLdxP27vusEFadMq45xgjaFD'
b'cttT6265ddTRBkDY8HoBQON+3zczcuy9zxuEqhquOE75gtrpuVG3JSmBWBBABgeylMyiMq+b'
b'5vzy8oBo5F2sm/OIrbv3R+KnfK+583B2flbYMiEWxJwlIohZwGTa1Lv799//4GdfPf/2uxdf'
b'1vVa1BF70hBW87FzKdTC1WJ9Uc9fpdn7O7/4E3fw+Ojk9LNPPz05Px6NR48PDsaTrYbUzPam'
b'04kvn371zdHx+d2yWK5X80mxPfH3Dh4oYR2blJF0ohATGwCKqkl84cZ1XeceYGYHNrNkGkK4'
b'6dr1R+86Dof68JSbVIX8E8LsC1mv12YGKNFGu9wsMVEIoa7r/f19MxNHWTgsC98NuEntkcWs'
b'vvjii3VTS+FZBEzinHifYzshhLIst3a2Idw0zXw+Pz4+xh99nO29lFIIoanWZEk15kANEXke'
b'cQesPHz48OHDh69evarr2hejoihijE+/+er88uI6Bej7TQS7GhTDrfPjP5zjmql99WDWlEh8'
b'lfD1y8Xh5TKqJXUoJGgqynIZqn/722/+9OdvCwGpzQcgwsP7dy6Wj14cnRssxnCtUMXtfv8A'
b'QqAOOgVaCitAZJIj8j0zQzUjDVT4QjWCKKmROBafUgghsCASKdGLw6PYhH/08UffvTr0IimE'
b'e+KMPYyR4qTkt+7dcUhm5rrEwBBVeZMj36bHGdAqjMM0oxAdqtq11dpmsxIo5wtcibFCFY5h'
b'qpNy9OFH75YOETg8rmIWz8zqE1RE0Do2R8enqjwaTepUGyQQny8r710TEpnrfOsspOX7kWto'
b'vW9T7cyXnzImMm7cLdPZgMvcbO2s/83JuQYHkG1oBeVHaQQxNZKUaSZmAKtG4FZZXh38/bFH'
b'vt+Mh8CMjGDGGdbs4HKznLjb4pjIEBQyem0AslhQzmzJ6Phmf8pxm2yXdOFvG5Tayf/uRzOR'
b'qKYsBNSHSHJalwHInB+NEKfdkEF75lWOXIYCsWFwdrZR100GWCYQc44m5BPr0CS7uaZvpluG'
b'pc1ME1LrpbQRm8I5oxACVst6djGfnV801YpJKfkUoiUjSwIWSWxRlBqoEhOYsrMHICfJggAH'
b'MiNnaKulNiEuV83Z2eXZ6UW1qlWVnd9arlOzgwllsIiNzECack3yPJDJIgOERCDOySFklG1Y'
b'kCqFkJbL9fHp+en52XpdF563t0YpJUCZibNjo0ZGCSElLOt6djFfnF4uqqjwOckFBObYTpRW'
b'kQgAoRVLUTIDEogMFFSJyLUKyDeYNvl7m56ntno0iEAQWi+ruq6hRp36ChGpxoyf5SSTLjxP'
b'ZyfH9N4jgmWbPxfOZHaqBHaGZEjElMm+yqTtmOlwCCKQUG+kEuXE5uwla/a9ASYZTcYpIVcp'
b'z71/zbS6ikbfOh1B16Js10bha7bd3ta89uH3m/43V7S2hf2M6SbysP29Rdubr8gVDzrzKKY0'
b'm81U1Rg8xDtZzIhYcgI2A6opmz29zJppolb9erNy5kT/lLJelqNOxIazW9VSrq70cN9X+WMa'
b'3J2qGtiubqCvM+Kv9fDNN7s6b1dAk95kvHb+Ziu8YWUOz2nhZmRntRVCxdWoxbAx7devxjQA'
b'UxiziIi22gCpTbLonmZ//VbZatD+/MKRS8xI0RjJ0aIJL168eO8XYacsPaEBvnzx8qOHD71R'
b'Od1nNzW6UAvJYrJoTFqHVOvU705kUq2T2ejJux89eHz3y9/99ux0rmpKKNyY1AzmqHHa1EeX'
b'352/pOX86d7D41njXPHuhx89fniwsz1drdeR3TpE8YV4/ybJp7/5LZ1dsE5nI393cmf37t5o'
b'PL1czcBkKQEQZN0FEu8fvf3uz37x83v37hFRStF736wDMxeFb5rGskxvSwikq0O9e6DoJFvy'
b'WkTUaf3mp5/VpdDrRAFwzmW9TietKK2ZmaW8pa7XyzyYb46WfjiZmRKISc00xrOzs+3t7bIs'
b'54uFao6fY1mt67oG4EunqtPptCgK7/1isViv12VR5Hybuq6aphEy1QgggUIIxE5i9BCNaXu6'
b'9fOf/dHZ8YmZOeeapnHlqKqq6vDQ3Rxwt9ugN0Z8ez+vq/v6D+P4MffyQwcD2icBD64MFh+B'
b'45PZ8fmsMZeLycfYsHAVGi+yqONvvnjxxx+84RhQBbMm80Lvv/1osa7q87l3Pi9bN35Uqd1o'
b'cS2A2G6rLaG+fYta9YbNjtttlAhNYqGoDbMzcjFGAUgomSZVJ15TPDk5ibHZP7hbN5UIi5OY'
b'zCx6kYzFiUibqILWrEwGzvpWIEDp6i5ir92i2tB5H07ZzIdM2vZQhYgETW3mjgLMpsg1gISI'
b'NTHo/t1RWT5+9fyoqip2lMBMQiJNjN45UyGimJRInCtiStbFJbpNg64uvIMn2724yRAbPAMz'
b'I+uICoBkw/eakM7gogM2OikMKYuCaQu8ZQQIeZVCa7vmnpGBzE8+I8cQNle+vZ/7W2UYMefM'
b'19fq319p7GDWJCNSMoswFuY4iOwDrSoiETnikE3v3nRvQesOHGWzaEE1GqTbt4myPBFawUyR'
b'bM31xlKXNTG4x2wq9k3t2qFdBaIuSEcxmQgrIQERqOomPy/qiAEDMEN7xywLTFgWXLJ2njkn'
b'MYZ1E9frerlc1uulpoaZtKmbqg4hhOAERNJhqLkuTytfb50PoGiZD5KDMQpVoGrial2fnp5e'
b'ns8Q2qJsy6Vfr6u0Pc6KOmZtvpGZGhm31Gc1AKQGr63H1YpGKyyaVk1cLqrZxcXp8RlDrSxi'
b'k7qoMampZXlQUDSqYljX4eRidnl6saiCwROxArAo2cqG2I10F4LYwEppNdrzQzAexmR6PRPq'
b'MlMNaKJ6JwyAKQJfffN8tlglE4JAU+cAgLpkWyIQFCKk8eXhkfU4FJFzNB2PhGZRlZyAqCXj'
b'Zf/CmDZhpc5aumGloa2ybh3UZTDdnkzanGrVLKd4eTk3bj1e7cBXs2RG+F4Ebfhz1A7F73fs'
b'tV9XmX9PyP+mTfw952RKSRYYBAC0iVmWguOirusYo2WFxAxeOgfKJGfVGM3SUI7TWoVEM4Nq'
b'TOCyLL33HQ5KgGWacs/FpPbBtVz2LJM7NG1vjQB0ftJN6z/vR9rd43WntP+ha6bhrT+R/8mt'
b'xdi7ohjuJUZC4Ey8zO9cMx4EZIpcDJgHiARR9vPbjhg0lDfXpywgYUrgvH+gjT9QV6kgJesU'
b'clqJQemow+jYa44dAGKXU7RIq9PDo1Lc1HFBulqtynJ6sVx5hhUjjKZa+VhXdQijFIkspQRy'
b'ZhbrRjE6Pbuk3cl6vty/dy80OD8/Z2aLidixGWIA0sQhNPrsN79syjtv/uKf/Nl/8k/ubI01'
b'1GqpGI9i1JTcPOr89GSb/f7jN55981Up9+d72yp+uru3u7+3jlWylB0zNlhMIiLezy7O/p+/'
b'+ZvR5LN//p/+Z+PpJMYonpldVulJFnsvus8PATbW/Gb/zclVXXnn3pfr/hKQoQYzU2aOdRVC'
b'cFJYG89RVWWoEa3Xa++9gh0kW3cpJTATc0jJ5UBKNztUNcY4Wy0f7jzM1vlqtZqvlsSyNZ2I'
b'SEopxgjhu3fvZnHSlNJ8PpfdbUOKMcYQVJUcQRhJ88VjjNQ0wj4v+A8ePBiNRgn25O23jo5P'
b'54tVXn5uoQC9bpVp+6u33QbWf546g0l1/ZLdJTaI709FXl9/fN8C2i0c7c/nmdPDArdZ3sPD'
b'uv9boghtYBTOOwGAaKbICtCAmncuhMDsQFaneDavvnl5+fajXScMQ1bo94xf/Ozd9a9+t2oC'
b'E2VyL4lLKQnlYlHIEI3BdcIyOlzczKylFhMAqEUyFZEEOMDMxBGpMpAIWWORmDQFR7zlnZkt'
b'QlAzaPTOaYjnF4uz2dJIrcvYJYANAn35otSmenD/4IP33mSG5TWbnOWCu6oAMShLhrQEJaaO'
b'e7lRBBpanq1kJIOMGUaWtXthADEirFH73ZfP1Ciaa2KKEGa2FD1h5KRpGpzIe+895kcPXr46'
b'AkuMMZEyA6TGHFPDxGA2ohjjVunaXmRjkCUlQzLu2SfAwKTG5lmjlQ+4knKRBRmNwMSmUURI'
b'rdV4gcnAxB6IAjGQ0duUmbKg1n8AkGCuL02y4Vi0sqHWto5b+50UxtolMmo7HXMb2yIVneEP'
b'I84D3toQP2c2Sf8ftT+FHp0CNk6FmYHZoFmJ2xKEXbYCpcMIcyM0q8vljbZlG1J2DXP8QAks'
b'vA5RgajwDMp5lsQKMCMLiRJRVPTZa9YFFPpJbgAPAiUt9x1Doi8of0uoASKgwKvTcDFbWFTy'
b'YgnMHPO+2eqQZC1XIiJyslwvCFOGGVHWXd2alsHqkHi1WqzX6ybV0IYhSV1Vr6t63ehINLOc'
b'OSlYCiNSqCGB1KjT4wbMkgiRSkJSoNFUhThbLlaLRbOaeaQUqSa/Xrvlul5WqXBqQkY5B0AV'
b'ZtpWEiQyIeSEn5aCT2SWIEimMVGINpsvL84u03pNTMTSLOu6imGqlISJYQY1BUWSYOlytjq/'
b'XM5mly+Pj+yjdyjrTRllYlTsOjMPMMkgSJdI0Q901Q4spyuPzAYj0wCXcwCcmCERAjBf43/8'
b'V/9LbWRMMMvIc5aBNyUmpx14jBRAermqGqDID9FQeLzz5uPPvvqmLCfKopBcPSN7GoTMkCTq'
b'GHhgYs4VHZC513kukEhbb8AgRiOyt5/cz74AdQoHs9kspaR5pWbHIJdFRdp1zaid+IQO+7cB'
b'fnwFgLzCdruNlJJFXNGqc7qhbNVNtHgzLQYX7D5iA3e8sXydXhHgKlZtWQdMlVkciwetxDQl'
b'Xi1mUZPBZy8JIGLHTphMqK04oARDS6AibguGKFq5w6IoYKwJ1PozkntMJJcj9CnFqErskgZh'
b'diwhBJ+rFpIRtbmtucaTcsyJwkRUFEWTyEnLxzCzXJrQqFXu104+BQNrHoNgSH7B3FqHZkok'
b'2WR0zqkqszNt2i42E+ZkKmCo5QJ7WdhaYck0r1FGA9YHt8s7GdZ15ZxHLhTPecM3M9OYmCjm'
b'vUNTN1Q4p41Z0pxIkfHglBKLMHOmM5pR00RNJiJsEJYOPiESHt41w4HznqXOcG93b3Vx2cwu'
b'9+7ce3xv7/MX8/lsHS8Xc6Q9jbV4U/ZcgFKyrNHMlZE3mOOgUZtQn82rxbJanyeLxgZSMlgM'
b'7KRJZCSsxhqnrkZ1TvOTiehqvfTeCxcpxVenp68W69Huwdr8N9++3BEY8dnJ+fzufg0pR5O9'
b'gwfHhy8L8catAIGxIzONcXk5t9mS/PnlxfnWzlZCSslUg6Cr80OsllRNhMGkMGHOBcVz4RRD'
b'a/13ln/70LO1FrsQa0qBmWOME+9K5+uqIk0hBBHvGKoKSqEJzrmqqu7ffwiwc2UM6kti7gpB'
b'WNbx48yLVtVRWX754kUVmsnulNWaug51Mx2NS19Y1PWyStHmVfVAeDweH+ztHx4exqY6On51'
b'cHd3tQxmFpsgIGMxAwlnL0ctxhjW9WrM4xBZjO/c2X/+6mVRjj/4+GdPv/724uSU7XbKwQ8f'
b'w2VlA6TlwXb9VP69pXj+4AdtQsB/mC/qDS8iF1WNMarCF5OqWr44PisLeXR3y5I6JhB5gjl8'
b'/ME7v/r1b5MJVH05CUmZOabgOZdpoeGvMNB3YwsR920zZDBmGAFgBrFZ0lZakcw0WoyP33jy'
b'3pMHBnz61bPLxdxbApSdY+YENZJcI546wa/paHT3YK8QbJVlb5YJyAnVoemyadUsY98MKJFY'
b'l+bXJTkwhu+QbsSw2p0CZimDO2pgFhjv3tl3hU/qXh0dZ31QouLtJwfTAinhy2+Pnj49+uiD'
b'+ylsf3d4WpRlHVPeZjQEyaY5O03JMVNHlsoh5WxI9X1lBLlthF6lnlx/GgbKEpxDz4FNlUBg'
b'I4W2I1/zxax9gqyt1d7/brZxszrJtUBTXiZAqu1UVeriMNmRMDiQioKvQonXI483qlj8mIOo'
b'Szuw9sZpU2Gwv3R/71DrysWBh/PFzJRMNVV1mq3SwVQyaJUfx8uj04vzGTtvCewkRVVLItJ/'
b'P2sFZreEiDTW9Wq+nF+a6XRnZzzdk3JsJERClqAp1wWDsQoZ+flqdX52WYdYFlMSSWpdMhkp'
b'tb6ObYT8qKqiZRetM3MP7mxzspTrLMZgKXiRpmnYFXVdr6tqVTVmUorrMYIWcSIotWMvR3Wd'
b'o5QsacPsosUcWY51E5om1RVDIQDHGOp13azrUIp411WOsFzmOyTVnDoMgMAJHcsuS9ExmZES'
b'oqYQQoxNTEHMpRDruqmqpmpKY3NsrMgqszHFGLRpQlVVTUjPnj0nvJO9OYAQ0RA+f37SkCQS'
b'55yFRpgsqRlyRbaUkiG5FpTgponnF4sXL56dnb2yFGUz+Fqh91w6wAullIzpYr7+5DeffvXi'
b'pcIDTEjZ3DYoEQOUQGBhUzVjMgBfPH0WgYIBgypY8LMPP/jLv/rrlZpqEnG5RAiTOecAbkJD'
b'7JjR5kVaFoFto00ZXw8hFYUgGTnfhCCM/Z3pGw/uqcLIiESBOuDk9AwtV0C6Ef6TxcS+/7Cc'
b'hLuZbQpwJx12O4R/8/2bqPbrXt/4oiJXqRdnbbFohca6rpumSeOSYJKTU0gIYqZtxY4NMrhp'
b'jIHBRiro6lIDV7YwXImNbAx0dOSKvsHWSdrzoABw1mfPJyeknv7eRgVaj2tDeRr+qLXx8w3M'
b'n7+ek4ZCiNl8jzFeq7G16durvT5w4NqV0GjjdSRq1xlVTbCWW2l9ETrA1CwZyeDCQ16T9n3l'
b'nONeC7WjRBKRc8LMnEMEXZopUZ8Ko0QixGDSDCIYlCXVVbW4HG/t7oyKgulgd59TMzs+pBCI'
b'JQUbg8YkTRMLx0ZchSCxqVMMFMNyNb67r8WoWvFitTYzFrGkmRIj4thJijUDI0ehqs9fPTt9'
b'8az25f79+8Vkq4n28vT026PTySqNxtv3nrx5/M3Xd7fuHD7/+s03Hi3W1fbE3Xv08LNfo3WT'
b'gC77F0TkwEoITbg8P3385hPLpdeJkEk7r4ezX4N0t54Sd+PQuqECcIzRe9809dZk6r1frVbj'
b'qWdmUw2hzs+vzQ1gJqImhLIcp5SYfV/Aqx+W1CXSnZwebe1s+7IYkxNYXddvPnwwHo9j09w/'
b'uHd0+NKImNkVsrd75+XLl+v1ej6/jDGmFLImu5KQc2DPUUMImpIRwI4kNk1jqjvj7d3tna+f'
b'PT+7OP/o8eP333//eDR5+fzFLQ7A67vmhz/9/+J4HYqfqTLZaMjhnoERfztx4g9wUC9eQTnE'
b'T8t19e13r7Ym72+PM0AEI3jg/m750dtvffr0G2EXQ2DnQ5N8UaZYMWigKKGDturwh7pXrT2d'
b'q0a3KreAc0yNMrMIhTqKkBN69GD/6ddfei9/8ot3qgopBi8ORsnADCPETpIvb6sFY3cM7gxT'
b'UnNMpJE1FOhiWJ0SScaaydQs9a87kFoJOY2V0KFtGQMGQGxMLAzOcY2UHOPx/WlOE9weP3Ae'
b'McA5sOKbz79894P3x+PxbDE/fHX5xqPdFLaPL+eeCmKxFDOr0jLwaiBo4Rz3Rh4QNRraElt/'
b'uEjUP/RjuN/3QOzQRBhik4PjCpo4/Prw/SsXNygSEfrFlABL6thFDZfz2d50Twi5UrsCMdHX'
b'L14mNSnKrF3bTqIroz37A6Tg2FTzy5PTo0OYHty7v3t3WUy2nB8zOTODZW0uzREqEapCk8zE'
b'lwmGpB27NypAxjDu0Fo2mKktq7SOGDsUrQnM9/eKO5Oti+Xai9ve3paUmmpdFmODU0ijXDeR'
b'mcliVlzK08kowdrAnRFnTLA2FcckSKqaVE1JE5I6IzKOoQZboriaXZ6dXozLSQEdlSKeFVkn'
b'V8jMELI6qGnbbuLMWC8MrH2k2yKT5uo1tUZLvGrqRVVv1yMveYtrA1YumWgwTdneevr0abK/'
b'EM6zliFIhmenq8skSUlEQlPlG81JgaqLnBbcgZ2o6vT8xeEv/83fPP/qE6RaLBdEywEi38Kh'
b'QIj1eDxer9e+HBtxJI8cpMrifTcGo1Ke16Kmn/7us6rBpACQcvDzL/78n/5P//O/EhgJJYMn'
b'dsIaA6I6x+yI2VIGqTPQR60vYTBVU9XRaBRjJDZGnI6cVss/+8d/trNV+M6iTYbn351ezheg'
b'8laDm24pbviTPe8f/Mr3mPs/5rLfa/pbb8QOuRAAVLVardfLle3smIGkFUcXkYwMEG3M39cs'
b'JpulZoip9T9kptnx2cCLPVT/miOj+H1tx+FadCXo9L1e0PA2rSv3i5sr220c6RYvG7IUr1L/'
b'b2380LFBh+LdvPjmV26sumVZMjMz9Y5QMs3FQPJvUq5Sc/UeCej5LGK5vDpUdXF5fnJ0ePD4'
b'7TcePJi8mCVP4+nOdjlafvfMnGc/qqvVGKSwqmmSmSPEqGAD2Xo18zvT1Xp9MZ8jgdmZUqYq'
b'MttoVBYjPyruEFms4/jO+NnF8uL85MM/+6eX63AyX67qZrq9d6CUTOr5fO3ozfffpYuz01fu'
b'8999+qcfvWWlPXh4D8xop6t1T4a6VYig6ejo6I86mhO1USDKedXyCSIJAAAgAElEQVTXPOGh'
b'83adm+BaihE6/9CBiEg1EplzrqlraAJTCGG1WokfgwlqUVMm667W6+l0mkNGTlzUwG1G01VQ'
b'N+tDMqeUjo6OxuOxiIzL8fb2dl3XmSYnwtvb20VRbE0m3ntE2z+461hC3VxeXub0gOzrOue4'
b'GImIcgS4aZoUTdEkU0uqLEvF1tYE0JOjw3c/eH88KZ88ebIz3bo9AvBjrHz7ERrGv8fa9/d0'
b'dOsRtTmZP6i5+Xf4oaxUbUBsonhHyueL5e++fvrHH79bUMtUTmqe6a039ufr9bevjsgAdc65'
b'qInZmSW6SpshKLWptQAAHpAOu9HcNA216AsEKJwHGjPECCceZM6777579eEH78eYPvvs2cnJ'
b'SQuPmWuaWJa+aRrxTlUtKRF576eT0eO7+8K6Vfr93S1DAhxDKUXvJKm2IXZ00uD9a9687v8C'
b'QCefkWcXKMu1JyJhRkqtChAZZheB2GKMrw4PmV0yUuO3nzx6/4P3o2K9XjO5+we7l+er+w92'
b'5+tq0SQ2csJ1vR4X4/HOdoq6Wi/ZID1K3wJFSmCjtuLS/x8OG6ho3/zo2osbx0+I4FkLfPff'
b'bGNDefNh5pOz83ce7ikgbdku3D/YH48nqybUMSk7pRYkZhOgVeDpECxOKSmLkVf2plHZm3hl'
b'r+yVGGogyanYxjCmmKKBWdjAphDHRJxSuv2WjI0oJr1Y2PgOqUFIiXji8cHjh69Ovtwej0Nd'
b'Fzu7zWhshCS+HG+LK4g9SCwTpjO+TCAU2dc129SYJfIxpagqjliKUNdIGBflaDQO5apOlabG'
b'zOolLS7OL6fTrZHPUr7EAnUskslOUaP5nEANySqohhAV7A3OzNiSFzcej7e2tsysCaEsR8Vo'
b'LOwMYiqZqWGAgpnZEY+8K8uy9sX5xeLFq9Xk0cSBM6dHGAePHp0+O05UNEZwO5mcmlV3kgUn'
b'TJnsoaZGjdPGryoaBR6RqlkUcM4GMZCxqLFzzkC1MpfT0IYvhW4NVJESBhFOJot2dHTy7bPv'
b'7rz/mJDIQCTvvn3/T/+jX/z1r367DolF0EnsmSa1lOOrwi6PT26fFQFQcFR1zudUPslM39js'
b'TMv/+r/6F7lwtSIzr/HZF192GQWUa1ptYrR/OGjMrHXj0Bnl1pGYMTCvf/wv/qT9zqzVlspK'
b'ndaSpKVpmvV6PTyzdQCu2gPWtbi/1EaZ/ap1ca1VwzzLHtLu9eyHDkl3ZmuRq2oWZ8x/LWdY'
b'DW7nyio31KFuXeXWnLTOgsyWWTbjzExEhpIy/UGbIngb96B3AjcOQ1chp2//Jgm4L50J4i7T'
b'lG4rKDfsKTMryzFRjkGl/hmZGTGZmXYZM5tONnBLPIVZRK5pDyhBCYVzJ8dHlsL21mir5JP1'
b'MiUbOSm2d5rZthuPOXjTbE1r1OSliE0IauQsxbpaXIr43Z27s7NjBkVTFsckUSOalVFRrZbj'
b'8Xi9WPspi8XDF8/333zfbe1eXl467/d3pm88enB+Ub08PtFqzRM/Go+3xpOLw+eHL757/PFb'
b'9+/fH0+36uWCvfRuHukm+0JETk9PYwgQzrcvGUgajCgMxl4/JGxAuts8oLbDiAjQNtRgZjmF'
b'XbwLEc77qqq29yjGmHN16hQ0xsVicff+vaTB+TJqktRywFJKIjJsjKoKcRPDYrHYurfvxTnn'
b'tre3F6s6hDCyVn53NBqNx+P8NPf29iaTSV3X8/l8NptNxiWSRlNx4pxzzoElO39VaEKKUZPG'
b'pOIsWVEU43I0n8/XiyVNJoUrDg4Ofk8K0L8PR0udBzZxALST4SeAvh1W/aOPpIW4oCnGmInd'
b'0QJccXwx//zpq4/efShZV4TJNBbsPnr/jdlyNVuHYKowIkmxGyjZDTXcyqEyQq4q0UbVyarQ'
b'WL/oAKPSGxQsSpxShCJFenm2uFx8xsyrVcVcgrCqQ9LGOTdfV865WIUuURJVVa3Xy7Bexmb1'
b'9qOHOzsTz2yAMSkY0cCMju6JQT8Z7Pb8CmsriFKHrbbkCFiIKSaQhwLEElJ8/vy5EYhk1agT'
b'i6Rq+OzZd5OiXK1WSuVkXHqPk7PZe3cnJI4lqSYu+N7d7Z2t3dGEvMNXX1f1uiq46FrDCqRI'
b'gMsI9O/DjPmHe9wcJ2pXgtRqP+TxXIfHfqJJQ92mwoNLsYGZQ6hLkdPT0zq9B4IwYKCIqcO7'
b'bzz5288/88WojjmdEESsbVGmzlPsb0GDtXm/0CwGTZRyqVwDgFa80qBqzE6TpZQg5EWigkiJ'
b'GRYB48xXz+tDq8pjyfT07PzhnX0B5zsh4B99sPvLT5YnTRKRRmMxKkPk8fZ2YlQpLOpaVYNj'
b'7yTTlDURyAO+3WE5MgIBYoWRKKypLaTYNLqutQ4KJniCKKk6JNI61stquZhdTpLyGI6FhMzl'
b'gsIEMk6+fZhMPT+aQtKoFhOlJKZcuGIynubEkbIcb21v+3JEKDSJmpJpTWZgJW+s4/F0Z+dO'
b'jJGD//XXh289etdlwNBMiN5+7J8fYtWkdSLirDrAZiaOvBQWk4oZ2CCJqNEqmFLhiF2uf2mZ'
b'cUBkxAqSzO323jQXRmCXyYcQkNKVQZg6N3BjRSlJ1cT/4//8y1+8/984IoJpik7cf//f/bd/'
b'86v/wQsnMjWKMXov7J1m3XrnWvJXhv6IM6sHRM67GKNBvfdimmJ0rP/8n/2zD9971BL+iBJj'
b'HfDrTz9vkjpuh3cPFnbWGA3+u31+Uc/csCsiGtdwypvzcfjO0Bj9MYDd8KChnNeND/Pfts57'
b'54qoGQgxxuwAdI0HAHLS27uDvUC7dpF1IZ2cYbwxx7sb6eH2a41ETmA160x86nk4N09mZqIc'
b'3xOibBP/QD9YT4/puB69gd7e4FXLvj+/7ykbPIjhiyuP42p8IHsXbbj+SksYwEadqRtXfZJa'
b'v7zn/huNRugcoRZs6/JKiSjnD1xpcN88teSMDWxCJGAFSwjh+PClxnrki7vT0Xypa03zSgvn'
b'3XSLyrEfb1E1b8JqPClDCCklYg8YSAXNYn4x3t3dvXMwPz+DJWspcyA2tRiaNCqny+WSjCwF'
b'Sbqena9Xs4O9O/d2tqr1auzLNx8dnBXzPW/BSbOujk8PKSWnOHz2In305nh75969B9/OFsxG'
b'sI7B23qaqkzEl5eXs9nszt5eMjPVxLoZbcNRd3Wide8ScqGlHPwxArQVotU2ZQiAQefz+eHh'
b'y63tkRIu5jM3OTMj51gYsWnU4ny12Kp3lsv19s6dcjR1zmVEmFmYJQ38ODIw82KxiDGOx+Oi'
b'KDJgEeuGDF6kSbFpmqIoei90sr21vb19cnLSNM3Zxem0fJRdi2JUMjMJszjPDBFjRqhjjCHU'
b'loKpEtN0a3w+ny3ns+l0HGNDRBsVoJ+KXtCP4NMTUS/d9pMu/u/g+PsLAljLUwQRRY2aTNjD'
b'2bcvTyaTyZMHO21WGgzQgviPP/7wr3/129gEIqeqRVE0TSM/osOu2Wf1/0vemwZblmXlYd9a'
b'a59z7vTmKTNfZlVWZmXNXT3SjRpBNDQoDAi3FBBWKIwjCCmQDBFGPyTZchCBCSvCJhwObP+R'
b'JSskPIeFkTCSDUaGhm6kpumGpqq6xszKOfNl5pvfu9MZ9l7LP/Y59933XlY11SAL4dMdWffd'
b'e4Z99rD2Gr+vKj3qLQhAp5WRBo2eDBBzEnebcVnFRAhV1RB6vd7C4iIAiaxkcVzjamHrtLKz'
b'qzMZwVeBiBUBgBqBKYTgKJ2O03/DfcgItUJnsT6vLgpXYnZ1OnYcE+fcs88/lTkUip39oOBR'
b'XqStlvdQ9Z2ZBV9Vu1ubWzszZ8+f2dwORVFAsbqyeG6tlY8x28XVd3eWVpYW5xd2io1OK6NG'
b'e6gCykg9GlOE7DQz6J+wQ+0423Tc0U+c9I3Ujg/WRTattcXrVRPnquBNw/0H25fPL1uUgA4A'
b'nji/fPfRg73ROKiRZMakZhxLJAyCWFNOoCmGYFWLhSNgIjEmQl2AfZQcRxyg5GqS4GA1r1CS'
b'CsLjzRsiCoaD/mBQLGZZzW4kwEIHH7py5vd+6V8cVqTel5Uqpzw+TDvt0WB3kHVSx47ZCZFE'
b'7iwxuJqFDZ7YExUCEk2YnTIFQ1557305Hh3s7Q5HB/l4EPIBfCmmoKIEK7gsy/Zgtjsz45xz'
b'nCBWk1AgMu1QwFr0gpoFkPOmj3Z2R+zVOATL87zfH5RlGdOavZR5MTros6q2XZoKnEPFUJBp'
b'lY+KwWBUlWrskPVefefut3/LU1kCxwQEM+kRnjqz8Htv38uRubRTVN7gmFmrChqY2UojgQgF'
b'6HBcDAYDrXwAsZIHOav9j7GfffDtLKnKIn7jpHF6Gpr8zMZf0zh8iYTIasuPBWq/8YUv/vC/'
b'8/2L3cxQF45/5KXLn/uz3/sL/8evKJxLMzMJpmxsQIj1OiR0lAsaidMYpnHjN5iFqvKlmD9/'
b'9uwP/8UfTBpoqcpghK+99vb2zgG7LJzKDPnmjmNKydRtHuuXMDOzEIsU8UG2sNOnvZcP3o47'
b'8iOfyURimOpoNFJVYQpmQgDHZHSZaGRHptokRcPItGaxPPagqZZM62STtk3wEOMEnrYTGtj1'
b'I4d90z81Gl7cwY5vSTrRAk8o6yec6wCi0lZVPsY3Yg3Ae1tNJ/s2gkSBTwS0mBrus7gqJypo'
b'UyWOiM9V++pJARAmbmMG2CyYmSllWTaxh9FERSb1D8JHVQF1D8eIaywiJx83RAYphA1Zmuzt'
b'bI8Gh9nyzJmF2W0/9Ej2hzkniWt3sm4vq0aaD50kzJwkYhVJ6hSxOsb7XENvptXOXNK2Knds'
b'XoPCRIiZmHmcD52kVVVVNkok9flAfLnQ7YTU9zIxC5v372RJayajnf4BK8pBf39nW3y1vbsz'
b'Loqs45ZXVm5fvxqCARa7l5rxMgSDVblub24tLS8jQJtXBo4iAJPRP1L9p+YDRW2VSAGiGsRs'
b'cq2qhuB9VX3+87+2vb350ssv9of9EDSvvDFlTgxaFTkBB/v9UZ5v3H/Y7c585js/CyD6c83M'
b'ey9pMplFIsJCW1tb5CR1iapKKlnWVt0bj8ezIQCogmcRX1ZCxMTGPDc39+DB/RDCwcHBueVV'
b'MyPhJInxg3Qyp0HEjsuyrIrcex+hL7qt9s7u7u7u7sLCAkOSJHl8BOB9JNo3Iez+tSr/x+MA'
b'x7FTJnUe73+LE6/8Dc4WLiPUJkstoZiCRtRHvnHnfqfdWptNVcEkpkrEvRQvXLn06pvvlKbi'
b'krIoxQl0gsjePJc4zuZTyKsxmZmKvCorJEmE9kK33XIwb5YQpcRmoagqCCWRmFQrIpqfm3n+'
b'hcsPHu2LiPpAiUSXFh1BIsQ8fKRJTV2kgMICyFgCNcg/R50TI48ThO9TnWkgqzE4py9UrbdU'
b'IiiZNyUHDwhDNVSGrN2KSc+dzGnA6oL0OufubDzUbYGaEM4tzp9dbV29vjsc5WfPrZ1dX4Jh'
b'494mm6UuevEQDKVHVRWgFBZTp/9ka/8nj1ponvr+aP8+uSL0Gy6Qo5s0xeAAjKBQNgBMBlWV'
b'zIXgSdzt+/fXzy6zQBhk8EHF8QvPPf07r74uwQBTGEUIlwgraXUKUF3MHQUcCwEkzlhqhtwa'
b'GsQiJgZHuuUAgCJ/Fjs45yJ0WvPSWnfKVFGQmeWl3t/Y7j21nDAMgWAZ8O2fvPLbX3/zV77w'
b'1SoYJNEkIQh22REz18n/zBwr6UFixBFDmqFkRvBChCokqRRVVUHJJSEEX4y1HFuofFlBiYJn'
b'VTBpEYZFvrW/lba7Lu0QSxJ3dKsdK5s9V3z3i7E4nEFjxbDMv/bGm0M3x9RShS9H+ajv8zz4'
b'UoSSJHGtNG31Wu1ZJy0iYwFFXLnSfFkVw0EVPBLiLH10WL5zO3zisgiBTBJSBj99tv3aO3bt'
b'5r2CXODMcxINOLNAbKSh1+l2WpnARod9PxigzDnCa5vTCCQFa5BVuaoqaHAiUUsripJdOlUE'
b'z6cqa3Xal2Qs9+4//PwXfvvPfd93CSAEVTDhx3703719d+Orr7wxzodJq2VMHpakrUhNxcHk'
b'yFUxVXVPamasFalviXYS+Q9+9EdWZ4/aQ8CgwKtff9tYgho7joKjUR3iDHxPr3/9AVonRxIa'
b'ePL35po/fjS01DALRNNBhse4z6c77UQbTrdu6oTmFRpf/eQFY6ZnCFUxHgfVJMnMexAAJhZj'
b'msTVzYws4rYyMAUGZYYISHw8RR61tYDpL094balmbZ5qdCy0A7EhTNwBIVASlT4icAMCc8TM'
b'dfLNG8NmMojT6JCTc+JBUzeZNOyxHTutecfPdVeYwWqE0Ji4j0Z/RUNSUTukJoV1j2ltja+Q'
b'pmkcJmY2qs2h4DVwEJGIvWoUDFYXR6kpTEQCQuS5iMXOqhYIAXawt7OzvXV+9fxSOw3DjaqV'
b'JL0uwSRrOUlCCAhBnKgG51zwSiSxZJlBnXY7a3W6c/NZtzc6yIkoZQ4IZuZ9yFxCakGrLMuU'
b'uFItR4Pb7749v7S4sLgqaQqBUKsYDovhYa+TtNvddnVh+9bNQPpgd2tYFQtpa+3MElRjRXWz'
b'TwEAGTFBDQbb3Nx89oXnATDzJF9u4uU/ofFP/wkgEobUAxczE2J2Q4wmBQ9gZ2dnY2Pj/Plz'
b'rVarf3iQFwWnmZMEwqSRo9zSVpamaavV2nj44ODgwLnI/UiRqGTaCIkm5ebWVszwUW8g6Xa7'
b'Zrb9aHNhaVEk1h5QCGFiBy4sLDiRSsNgMMiLsZmKS1hcmmbinBkZB4BTInHRMjZflupDWZZZ'
b'ljrhw4O98WggkvjgvskUoD+Mz+Nf52ETPLqjY9oD8Yc/oqOixgMnZYIZBwss4itfBH3jnWvd'
b'l1+cySKCDCdAAFbns8tPrF+9eSdUwUliE3i2k0fELT4uCqlGHSmDL31ouYhehU4rjX61YBzR'
b'lFMnxhQsCCkzzfS6zz339NVrN3b3DkIwhkDNSK2mbIGZMdnm/a76YmVx7plLT8YkC+HEUEXE'
b'7KZZFINm8d/o+bAmu3HCBBz1flANWaNWQySzqYjEOaUGRyxCb755I0kSVeRFRZxVgdTIORcq'
b'L872tuTJp9bW1tY2d7bLKqwsL62tta9d2xyVZiwbD7dTcWYheO/Mz8xksaEeqBQhBJOoVf6J'
b'SgD6QMd7TfjH7GexVpvs1J50LMtLHxcRnFAWiEg+Ll3qFGE0Lh482r14bpEAhjnHAViYaX/4'
b'+edeefOtsvSJiKea1ieq/tYgKdZS3yLXY3yeGgIbwNHqrIM9ZAKYY/aN7xCARarO+PHYSypQ'
b'g7grqZrdfbi5fm55NgOBBYFMW4Sf+Mufy331xd/6irGM8pzSNoNgISL6mxGYlEUbXYogMIN5'
b'hicEp/6Fpy9eeurC7v7eq2+8vdOvFIIQJNLSsQinRsZmJExMalTlRV4FtUJhYgFqAImIqoYe'
b'igBvcAoSSQlZkm5uPhpxDm4RiYVCiyKUhfpK1ZMjSoSSvri+KVe+NAtGSJMWKk2cQwjdXntp'
b'YXlxtruQJe/cvPfCU0+KIDEwqUATuO/508987dU3X7t2xycdL50KEgs8Igj1mdW1lYXZtnPl'
b'qD8aDKuyJCip0gQ7i+K00WBKqkkNI4YQAkf31XscUy4JBjSoORa45Bd+8f/87Ge+c75DQETB'
b'Rlvwk3/zr/30z/yXr7zxllogSooQvGlQELORBVMhtsiEFm9uIINpECaoJ/U//ld+7OMvP5NQ'
b'k7EDBMKbb9+8efs+0k6THXzKN2Q2mWknjhPLalqtxFTsdMoY0JOXH8/5Of30E0+hU+dP6Trv'
b'dWHMITnCn6AmUUEj1ZEPRVFEHzMAIILlCpEoCRBMwcyheT8gqrIMRA5ui6by9KOn1WWbSsRH'
b'LHBEhLenyQnx5KhAR1h0DTpRp1yjdb+Xxj9t1UwMgGOmDmANLGlcaNbQJ02qHaZvdfpFpnt4'
b'ymzgyAsZ/5zmPaCaMW2CaTyd+XO8/dR4Lckkccyuqgqu1xDjqCi2tjcidGx0ixzVV5AqPBnX'
b'kRIAZMI2Go8ePtxYf+aFpW4nM/Vl7inRRDhNxuMCZckagoYWcWUGcVHgJ45DMJclXtkrtWdm'
b'Dg92KPgsZZbEzIR0ZmbGzA4P+0QxYx7drLv78M7br2TPv/yxxZXVfJh3Oq1Oq93pdAIBoIUL'
b'57euXHnrjdc4yR7t7S8vzKysnU1bWVPxfLRkqPkfqT/Y29EQQoiAraqqRo/Z0U7YAJMhU6pJ'
b'PSaxBWidXiUiCOHrX3/VLJxdPzMcDoMpMYxUhIgRDKpaliUA52Tt7Orm9tbVa29/28q3x7QO'
b'RDaACAje8ACEEPqDg06nE80DVeXEaQh7e3uTSa7mzddxLXFudnZWpK7GGY1G5n1sOYiIhMS5'
b'ELyxElwgpPX6zUcjAseo0fCwX5Zlu5147910pzxWqJ3uu6l1+D4nTvd1I60opl78f4+7chQH'
b'aJwNHygkShzBgWNO2NFPR39YU3xDNe25wQKZGgKUJrkQLG5cjt9459qHX7zSioq61Sy+T51f'
b'Gg6Hdx9uCVFlaNhVGKi9U9YEEI98NlP+CALMqD8c91q9KEhmup1EXO7BSVrmhXNOzVsAi6hR'
b't9t79rmn3715b3PngMR5RAATS5NE1RNBhKuq6rXba8vLpNVMJ4vJRZF6kMkgMIQaHSMKlsZ6'
b'nqiKE2qm+teILWc1yAsBEd6YTM2rA6BwjKAVNKydWXMswWNraydYRURw4jWwkEGGpd2+u39x'
b'fX6+fWY0LmcW0qt3+gOPGB9n5tIHtZAyt12Sunr4jTAc5bFxIuL1PXPciShSBU87fv7Ij8me'
b'94fn0+PGtTatKjT73NFp09P7mANk+qfpqEhc72oTLLrHyNMjd+HJ7yfF36qWJEnlyzRL1FdX'
b'b9yan5lbmokUyiZMDJxfmuHnXnjrretD7xnkYRH2wWJVHBExGTiYKiGYkRmZUqgSq4RSr2qU'
b'eK+SJIBBYk2wUmOpMhkbw5pNwdAQtCrAahFHM7CYV6sCv/bWxsc+dK4npOqij7kD/I2/+kMf'
b'f+bFX/3Nr1Qy65EpDMJEokZKWgedCcJJVfiWtMejQcbedNRthR/4nm/77KeeagFjw1s3Rz/7'
b'9/7RUJMimIiEUAIAZyJJghpUntiqEEicWea9t5ATGSFRVTWfhv7hYXmul1Kk5yCcWUw+8cLz'
b'd3aKLJurAhXluBiNoRZCCOY9GTFnnW5ZaOYSX419KEsowC5NE0lbnWxubmZleXFhpt1x8KF8'
b'5/rwI890hREzFwRYdPjrf/nP/dwv/PMvvfLOKHDhjZI0hEBCaZrAFxZ8ICIS4wQkrIEphKqU'
b'1KkhYc59FVmKIKxN1M9qeAZEppa46R4PLYaol6p5NWaSYGC463ce/sP/+ef/2l/5C9aQSzB4'
b'aT792z/1t/6bv/N3f/3zX/SoUpeZhsQ5X3ljxybMEhHPwJGiHaoe6kMIs630R/7iD3/Pd34r'
b'NRTOQaGM7b3iV3/9NzhJSzWWpLmqhsmFxckWvd/Ht5J6v4m84xSl07QKcrQYay/vEWhJVEHI'
b'apRIM+Mp3oDmJjr1WY4urCXA4xf+5OnTtsTkuVqzsCGmzJGac4n3IUmSYf+wChpUXZ3cz2AH'
b'sDXNRCM8o39FzdSUouDX+uksx9SMqOhPWl5rq3FrqFFqKHpPJ+k9k2vLsiRJIocAUyR3qHXe'
b'+IJRizqm4k9n7RPRlON/ujeY2fva1Ik2z4lMJKJJEOaYVRCfO7FaMCXnJ0ZspaEoijRrWeMf'
b'qSofc4BVa2k7gTqdWGUWFwWRaoiUalVVEFFQNUMIgShiAh4BGamZWaw3aBB4IzlBvJWxRpFl'
b'YOZ79+591FdL7d5qr3tvEIpibCWleW55nnifkMZKi4SljBEMtaA+yTpJu7sftD8q0t6sOs44'
b'Db6Y6/VKX6VOnrhw4e7du6HyvspFhJzM99oHhb/5zte73ZmZTvfR3Y3nnnsusBJQ5UWSpFWl'
b'kmRnzj65s/to49Hhc5db8wur8/MLW1tbMacowgcjqDBXIRiRiOzv7x8cHCwsLpVl2SA8x84P'
b'DXosweLkFNXgNcRhmowaUWT5hGPWKhCROAkhELD1aPPWndvnzq8TUawIrzTMJEmAZc5FK3E0'
b'GgEofZUm2crKyvVbN1/80IdXFpdjRllcShQzxBRENhwO+/3+Umc1y7JOp2MBw8FYRDQEMnjv'
b'Y7VDVVUiEvexXq/X7nTG4zzP836/38vaSohIxxqjQ0ySOLCZCHvmmjWZq7xI0zDT6fZHo+Fh'
b'P01b1bQB8EG1nGlN9E/wUa8iVZ7SsU4cUUw9xiWA2EMaeXxEJIDAycEgv3rj3vNXzhuQEMEC'
b'Eyegy0+ul2W5czhURATNRnZM3bPRXE4GAYTFVA8O++eWe9EwSQUz3U7/cBRCYCdGMGNy4kPI'
b'XDI3N3/YL3Z39iOyCjM7cRcvPjk30waUIcxUlVUrSeY7oJpfDLUH36Ax3I5Jrmp0bzCZTX1W'
b'A8G04QvieIdYIToliHWiAUf3GTMLu7WV2diHs3NdMyjBGEbIS9y4tRVCGAzHt24XC/Oz4tIb'
b't3YGhVXGjgVBLVobzLDQbmcTOU3AIK+iCer1pF/t9LAeh+L+Y3nE7R/hD9jOY7rF1DenP09/'
b'KVO27uNbcWKWnjqZiLwGTlJfeQJVXt+5dv3jH3kGDFdbzsSKC8u9zssvXrt569HOvohUWinM'
b'iRCT+uhnVwaljjPh4IvUqvm2LC/P+iC7BwMPTZnVN0uSlI24LiE4at3j3kApTl5SVWVynLTv'
b'bw/PbuGJVbS4zntLBXPA93/m+eeffu6rr97c7OeWZJ6Z4EJdjqwQSljUByHS0rfYrBysLXe/'
b'9VNX1ufQAaIt8dKlzg997vu/8vrtXMnAQQsR4aSdpq1EHAsYHjAhUaPSoyxLCwVBiVMiKsuy'
b'w+NxoZWBFUwmRC3gBz776d959Sa5nrfkcDge5SUClJAkYqQuc6qaZV0Erfy4qsrKVFVFRSRJ'
b'Wlm7nc12Wp02d5ygGt/aeLSyeOmJZRAJwWKC4FoPP/Ejf+gZTGAAACAASURBVObTb3/id169'
b'ttXPPbkA+EpbnfbczHyWZVr5cf/wQEjMp1T5atBJ3Yc+9OzCwsIb71y9t7Gp3oib2lpYY4V/'
b'gGQ8bdDcwMkv/OIvfdunPvEtH74cFExGUAde6PBP/Y0ff/mF5//Xn//Hj3b2PESsJZI0Wm8w'
b'Q+qSxLEF76siJfhQnD+z8uN/9Uf/1Eef5oitZBaUIKgM//SXf3WUezVRBUghddKXvoez+X2O'
b'P8g6rVXSRgDFJ0wbDNNaC4475iZPmaj1jzHaH/eNNT6taXsgQutEhTJYKMuyLEt0e7GZRCQi'
b'TlKlEYgoxE5TaeQFWSRfgmlQi76pYyH3Wqc/FfOundnH2zPpamkyxzCV+65qUUmvnSpTF76X'
b'lDtmgE2dVhfXTknLSYntUZ3u4476uTVDNiuO4uSN9UFEFCKLx6QNTaApbjlsdeVwaHbY0+PF'
b'7OpwU1Mzc8zImZLXTVMJAJgAEhCMQaRx/QHM7IDNzc1B/2B2cXZlZqY16pfO+XxsZvPz89XB'
b'RlFVBdFM2hYxQxDnBEYW8hBmsk6qrUFRLi52085Mtb+5ODNz7ty5jY0NVX30cHN3e0dIJHE+'
b'mFZeq7zF3IEePLxLzzx39/q7T5xfl04miQgxBwshbO/u3NncSrJsZ+wLStOktbC09vDhw6hm'
b'RLDTQBEz0ERQGYpxvrezvbiwhEbvjzS6MT+KJ4xsU2PadCajxjOJSUa1BUhEGrlHgFu3buT5'
b'aPXs8/VYCEdHfpql8UzvvffeOVdVhXNufn52c2f75q3rS/MLk+GIuFI15Stsf38fQLTlFCbO'
b'LSwsHMztHhwcTDjbDdy4rIiIkiydmZnpDwexIKedtYiI2MX5YMQg1FOOLBA5AEyt+I7CnU5n'
b'7/BwOBx2ZmbV7AOnAH1QYffH8JjyiT5GEJ8Qspi4SSjCbZwUVCdW5glYWQCAUl21El0dHID7'
b'm3tZZ/by+iwMLqbQALMtee7pS7/9u19zlAZrCFoJMZnhWLltbN70M9SYsHd4AJxtorOYm+08'
b'PDz0IGYXGy4grxSCMbk8LyIWAQuE+cknn+h222+9c80QtFJmZshMt7O2tJg56mZutpcCqOH6'
b'REKomJ1O5aECbBaJe6IvigCmOtRe5wCE6NEhIwKiUR7JiJgrbyGNmblSej4YQIEy4OHmjikB'
b'XAafpunC/OyVp1fu3Nofj4f9igbbhyD2GmCulSTeIvCiMUGYzZdzswt1FwEBGAxzhcCcGojl'
b'D6J2/LE2AJqjjjtN/rQAqmPDJwzUo01uel+sS/ROhr8+SBMUqBmR62hbYxzGvZAJasZEphYM'
b'j3Z23373zgvPPFG3UCEMMyzNufmPPr2xNbh59+7m3r5ziZF57wUijiwEoBoVQwqjcwtzn3jp'
b'yqWLT3Y6XQA7/fD2jbvDMngCsahWTAwYmdbB90gjySdLJydIX1GuExiQoGSSfvnVd7uffnpt'
b'BkRgQqROFODZC3T+zKV3746+futRoS4oyKVMElPgGAarMiFU+Xw3e/apF584myQRDQmmFogd'
b'AefOLT6xN6zQqnyIaP3KRMIiJM6YVMgIAnAwVlWoh0YwYFZCm8qtvX176gxJjbmSEH3y6Rku'
b'z91+NOh7bnXmD4YFjB2jkyUugTiwSFmpsVRVW5wLPoeqeWZ27ESEUoEwQghp1qaK3r6x0c7O'
b'rc5AApyokQmkBXzbc4svPvmpm/d2N7b2DkYVknYBMTiQWNBDK3adz6igxH/Lxz/xA9/3vR/5'
b'yItOcDDUv/8//C+/9Mv/3BuUxI68ChBqQEJPz22bjhrXcXqtqz5CRe5nfva//i/+9k9eeeJM'
b'nN9MamrC8ue/7zs//vJL//s/+Wdf+JdfPhyOSTQQM1EsGnUKlJ6hvcS67dZnv+vP/PnP/cBC'
b'r4EmAGIOVwX85r989e1rN5TaJuSc45iv2BR0TjXNppXUyZePXS3fUCmfVknrD9a45E+lHqHW'
b'j485yOv0jvfU9Y8yYaaeFVBXaZFFmshGpYxkC0VRFEVhVFe01vcRju2LWizXjMAxOfWYJkpE'
b'rqEMx5SCHpNVapUrusljyPs4aJKZNRI7YqvXEEPxQo42fJ3oe7JXT+j9J76fPKVpVbQfpoZx'
b'kijSWAJ1nzPHQT7Rz+9jIUQDIGbgx+RDMxNi3+j6XI+wTXSV6SfGm4iIpMnkz2ldlpn1ONDx'
b'kUlAdReZRSydgEg0ZmrQ3Z2t3c1Hy0vrq/Nd93CXQ0lQBE1bWUlcqYE5mDIJxHGSZimHvFAP'
b'dsny/Jn9jY1BUbVm5vL88Jnnnt24c68Y50mW9vvDxKWzs7Pea1GVIYR80E9brfksxfBgLrX9'
b'/UdlGGWSMDlmNrV24tbX1zeGo+X1s0W7u1fqQru3dubcm6+/0pi+0QNgps3rE3vvt7a2nr7y'
b'HCIrXPBeawMg9qg2tRexllqDgY2SY7lAMYfZzKQmkFYAw+Hwxo0biyvL3W67v39gZk4SApdl'
b'kWUpNfPHOdftdkUkwHpzs/Pz8zdu3Hj+uRd7vRkzi8grk2nDTNvb25y46L+vymBMWbvd7Xb3'
b'9vYmeQpJkoQ6QFpHlmbn5+7duxdCGA6H87Nzkwq0WumKXlhmIhBbIEJgAoNYxM0uLGxsPBgO'
b'BvPeG8GdnqaPEWGPm8Tvf8If8vw/PsdUb5hO1e1PhPDR1Inrcyo/JyL9sMVynPpEcIQk9zfv'
b'3Ot0n16fT+tCNDMmmmnzh55//rWr14MpUIOB1t7xqCYZHuuMDSEQaDwuSoUwSEGM5fm5d+9s'
b'wFFQTxEdUc0xq/cWys7MLJMZIWF++vKlrN155bXXvQZyQmoEUw2jcb67uw9fnFtbfvn5i1ZX'
b'5arAAOLaLJmAzMSAafToRJzjKKCOfhXm2gtBER0ZbMYCGOKuaoCaKMm1G3eNJEjigwIM9VmW'
b'9Uf54aB48omVi+fnb90ejzw0Avlx6hghBCMGT1JSiJlnOm1p/E7jAnnpG/SPk37rk+PeqM7/'
b'6o4/ItNCT7dzerdotIejXe+0qtHkIJxs20TUxgn9DRtcXxVbcxz+i9n5UAqLAkrG4m7d28ha'
b'cuWJdQYcIwa3iOAMZxZ7Z1ae7+e6tbc/GAzyPM/z3MySpK2+den8mcW5T60uzs12MhgAb+aW'
b'ZuTc6tK1Ow/qoLCZc87CKdfi42z0ox+VWBwCAPLscuPf+PLr3/HJF9fnSLSuGHUMArqCly51'
b'zl94avsAW9v9g8GwyMchGDlyjG4nW5rrrq+uz88gRW02GBnBlFwJBCAvCrAJCciFqpSEOSHn'
b'2KXiBAzPoBCMiJ2ZGcgcgMg2YAYO/jAvdwZY7SEhYgKbJUSfeGF5eWnh6t3N7X7u0XeSEFFG'
b'LiFHYJBxKmqWuiTP83aSwEzFahcHAgNsVClVhe8lyaAYvfrOvU99+PxCQjGAB4QMosBKG0tX'
b'FgdPLo4qbB9Ue8N8OK5AXFXVgsuenH+h9+kXXr585om1GW4ibQtd/vf/0r/35a989cHW4ZTv'
b'PE7fplToGPXp+005MwNJGcqNzc2/9VM//Z/91E8+e+kCRQOOoaYp8aXzK//hT/ylH/y3/+zv'
b'v/rm62+/s7O/NxgNy7JMkiRL0k6ndenixWefufSJj350vifc2IETK9YD//evf+UX/+n/Nb98'
b'Nm11Sm9EpCFITQfeTKj4GlO62tHy+Ua6vjUO4Mmf77U8TZuk0LrXTir37/+gE9+c+DD977TZ'
b'EHcdYwKB1XxV5WU5fXlUPVSV2UwVZMwRoVrrH+PAspE2vsmo5k5F1Ceu8ckBm2RYnewWM1Od'
b'5MaQNVovN2nwdvx43LuTmUXU0qMnAlNGyLFOm2rnJP9ZTvctW72n0NSFj1V+vPeTt4uNTMSR'
b't8it/V5jR0cbKotIVBzjT9EsieGaI7sOJ23UpkuOQgSkwQiqGiyo4eHd+09ffmG+2+4wDkPR'
b'TtJEUwVDXKmhMhmV1Wyny6IsIkJcVswyGuYXLi896A8447mltepwrwpUBS3L0msAkKVpCKEq'
b'8na7a2Z5WaRMg/HIPJyGT3zkJUFgDWU1cpwQKEvTc+fPLmxvBtAoL8eV945WV1eTJGGurR1V'
b'nYDwMjExee8fPnw4zkdBazCKEHwIIRoAmJoP8YMGizR2J7Ly4kmRRAwEYty+fXt7d+vlj390'
b'OBxWGpxImiZ5XvMhioj33syyLIuonaoKZ+vrZ99+++q9+3eef+5FVSWyEDQigqqqMO/u7rZa'
b'LWOixvQ15sSlzjkzy/PcZS2XjbWY2JxkJDMzc0RUFaX3vqjKTnvGSDTiwzVxL4MQVCiBxTgG'
b'MYxIFhcX0zQdjUbMbIRvngjs39Sj9iUFTLCAaomnU7/Gj3X+cY3/RY10OHXLer3Fz7EePfo/'
b'DCBRihXqkR9EAZRBE5bC+2vXb8+8dGU+gzQzj4nWlrvrg9XbG9uwKQ21du0cC+fRlJhmJ+rV'
b'B9vdGayv9AAwMD870221D4sQ9zQyNSuFJGvJ6tp84uSpSxdu3bxzdmW512p/7dXXQQRODFSH'
b'J4mVFABLosy+eV/WYFUlUIBkCp8YONKsHlsMF6kLAI2ZndFgZRDBaucN4A3BiJN2WZYmgiAK'
b'B6hzGBc5mKnVunNv86ULK0+dW3vr1n0lZmJA1QcjhgkgMRahwVpZ2m7V5nMFHA5D1KRAvnZS'
b'va9CO703/PE8rJ5XNAlcnj5hIvLNjvYmi/kqjQ5z9CVwPCpydP77AGubhdoAjm4mA+LKMgsN'
b'l5AP3pGrqtI5ZxYCwOKuXbsdyvDs5Se4rgePeI2UMqlivsVzZxeDLkYHfJTqce9igKMHK74U'
b'IQBzCzP5u3fTTtsUEitGiKyBAwFihHTCCTj5/9TbclpVPiEQoUJxUBQjTb74lZvf+uGLF1cZ'
b'zX5rwTIhA9IEi0u4sjwDzBhQeiCG1ABHCAEpGsQXAkAeGgAP3Hik1+88LIIb5iM1KcsySShr'
b'uVYrJWELxgomsCREDBimIHEinzwoqYjfvLk5/6FVIrgJZYLh4pqcXzurinGBMg8mooYH28O3'
b'b94HdUChLD2YhDl4H3kSVJVIUmFKzBuTdLz3fZ+nZGGIL7/y4FMvnp3v1Oh4k2nBQC9FO8VS'
b'NyEkmET6sBLPEcCCEZOpjxzP7RbWz52/v/12k7QKIPIET4ainpZakywdvXg0cxukSSUwCRuE'
b'nGw83P2P/pP/9D/+m3/9Yy8/x3WeFZuqEBvwzMXVi+dXf+hzn4nKVVFBVdOUE258a4CpjxAH'
b'MDOwBxnhf/snv/oLv/QrC0tr3piUvK/SNPW+TCSpZz7YlMws8sYdLZYTlQBHK+WxiyhaeDRZ'
b'pxMDvl68R2UrExf1sYvfR0a9lw0wrQzV3Xv0UI2Vt4mIqyO61Cj6vqqqYCYWDAZ24JhkHPnZ'
b'FERxxlJNA2iAToKLEU8TxwkBzIx5wiZGcZ+1ECbv1fwbT27iiRPb46h+4DGOj8f2DE2Raj52'
b'RKaLDazJ/3lcTx4ZBtO9NG1RTL6fiNmo6jVYZCeHRlXl+JcT8R7NFQ2AGDOnaWrNa09HAI4M'
b'gKP5Q6fx7mL+EBqfHTMnyvdv37aqnGvPrM12d3cHXkXShFsdS1smblBUEM5axs557wODXZrA'
b'5WVZ+urM2bP7w35vbn68t/vOjTvIB2nqujO9rN0i41CVF86eU9VHm9tQU9VE6GB4eLC39ZlP'
b'fnJ3NNo6HHGrDZMA6vsi7WTO68bVa6253qP1lWcvr6+eWel0OuPxKHaFRecUEQDvK0oSERkN'
b'BuPhqNVp574IIZiG4H1MYKthuwyIGZ0hxO2qjl+ZmRlbgFlEf7bocRcuyvza9Xe73W6r1drf'
b'340xQJFERMxUQ0BQ8yEW+1rNmufLEp1OZ35+/urVq09dvNxOW6reudRMmVg1FEV1cHDQXZhr'
b'5rzE6dRut+dm5wHEunMRUfWqmiTOzJTQmeklSZLnuQLjouj05mrboE59m0xTBkBCpJA6yqGz'
b'M/Pd7sxBv29maZZ9YBjQb+74N9eiiAtJGxaS6S8nAcKJ0FHz029pxLDQ5PIhhJAkSSwf8QZO'
b'0v64uHr97oefv5ARHEBU565fvHDmzoNtIjOVOlMDVlPqcrP/AQBTtC4AJqcozWxnZ3d9pRdR'
b'sBKilcWl/bsPyDmQRWYMZu31Zpnw1puvf/gjH35wf+PM2lqnI2sry/c2t0icWczZgIKl0ZZc'
b'kk2Ux8tPXhhXARaYmzK+oySfSLQTNzI98T0aWBiuM9epccYrm7USkEEI7LgoCkpTM1YQcdxX'
b'VQggq8qq7QSkvY48deH87Uc7eVEmWcurEjsLxg0LMRNmZ3tHYB/AwWEfFCmQjJjfhxZrMr7T'
b'ct+aZNw/2mN6L/xD3ue97hxvP3nICQ3gsdc2X55KNjjhUp8KC0wvilPNiHFPIhIiUiUlIkMi'
b'rZt3HgSP5595whESAiQGHJRJoBYMmcSBgNCRaXIk4xgAB4MR9vtVmrUNZBZL9iPtJQAYHeFl'
b'oYbSO539xaYqIuqLoDQq8pH3Wkrp7de/9PVPf+zZyxdaaWR7kihtzRm7qSa1BGgyBwyWTjTC'
b'5nkeUgGv3cpfu3pvtx+GpR+XKH0IIaSp65gnJ+QFQa3yRETksywRcmoWuU01OimIhdMc5f3d'
b'/rsPF5854yIkIjVOHTEVppm2UZsCUAHzc92D4dLGTr+sTJK0CqpBmSUYqqCqKixBiGM9oRUA'
b'mHhU+RxcBP/FV65/7PlLZxaIUT/CDJHWMGlMggahkkMwA9UYP0KAEnFM7yk8Hm1txxkxPbk+'
b'0PwnIjZT0rLUJHGjPG9nrQeP9n/yp3/mJ378x/6t7/5UbA8Tg5QModIscUERGQGTFE3NMWBK'
b'ZNBAkcUZGlRMaH9Q/d1/8HO/9oXfbs0ujQrfI1ajJG3Fd/xArZ0stGmrYFo9Pb0/vr9MOPH9'
b'+zfmvU4+JdmmxR2bhYgVyQIRMYo1lBxCKIpicremqhWqXsks5vlzYCJVbxMkdqvxdiStOU1P'
b'dc5JQTStyjcfjvXSkYZtj+/Y0ypHrWnZlE1pR8rfpEOOkotOPWu6o/A4nws1fhA6rh5MNyDm'
b'L53mAgMZSCfot2aPJyqJb8nMSZJMzpxUJky3/MSsA8AU6/IkVtTXdzRSsyxN80J3Hm2OBv32'
b'2vzKXO+tB9sVoVKnzHkInGZlOfREpQJEeVkAcEk7dV3X6u7uba9feeHgdklJqzO3NDrcM7XV'
b'xQVJhFmKcTk/O//yiy+trKzsHhz+/iuv3HlwfzTKy6K6+e61F55/fr7T2T0Ybu/st+dXSyBY'
b'OdPrXTi3PhyOkKQ7u4d65UJ3dm5xcfHu7T47mX4vMou6uIH6/YNHjx49cfHJ2CehKQCY9J5a'
b'JJDREEKMp4k5NPiNkzkQAQyNAKWtra2NjXuXr1yq8nGWZRMI13iV9z4yo8URsRqYlVR9WRVr'
b'ayvvvntrc3PzqScuxtEJQRlORPb39ouimBVhdkQRF4g8pNVpLywthhACLHOJc6kiVzVYRNNC'
b'5AbuH+6HMEVqPzE7p0zbxgwVMLkUwapE3ML80vbublEU84sL3zwR2J/go17Dx7+MeXVlWap1'
b'p5dlXa1FkwsNUCOJMm+SwgdqoC3qyWpBVRK3dzh4+92ND105F0tlGcSAndJMyMBNdrvhMUlA'
b'dVDMaL9/WFZoJzVs4+rK8t1HW3mjyRGRmYQqiLinLz9zsDdYXVqu8vz1a9euvPTCw93dykcM'
b'EwYLjGDBm0cIRTliRKBQO7fc1TrcCTsNDhkb/F59Gzsztnmqk2s/nAWDEAJxADxzQkTe+0Qi'
b'xLHPXMbqO2mWtuTNd+9fvLzuNpFl2bgKLmlpjfriiRQMEVpcaE9aMs4xGuXBhMDB2ODM9P1D'
b'AFEcTJwr016cP5Ljg2oS73kTNW1QqqYPq/E0jiGFm9nEqjz9/fs86H2aOqVLNH3VmIYN9DvF'
b'SFoiLqgGmDg3LopACVl6Y2Nz8+Dgwy8+u9hLAUuJiWAh5oxRbVYQTOuNC0CkkY4LLwCBcJjj'
b'5t2HHqwGdo5qZRQBBsIUBeMkZhVtQ67jyDXqKIKWYCJwXlZ7+4cu7XLS0Uo+/3tXd/uXX7jc'
b'nWshATzMRWgXM61Ryesktphdy2wGDxDgAkCAB7YG+OobD959kB/kMsrLg/5wlA/zsggmnVY6'
b'2+sqqAooi6IY5wLKWq5nvbR2w1ZetfIcrJLEMaPV4pRar7x5O+VLl1cpIUht4IXoLlWLAHFi'
b'Kgnj7PLS/UeHSZINCk+cqMEHDiGEYCFo5SyiE4oauQIkhfdVqa12d5iP+yF5+DvvvHj57MtX'
b'5joAKzKKw80W1IiJQXU5gka8RABqbAQGV2rMyBV//+d+/s69DVBKiEMXfQHHppY2JlQzTCA7'
b'ChFEF1fc7JLEEVmStIqizNKZg2H5n//s3/naq2/+6I/88NmlBAQBg7wkALRx4NT/8QZHqAlv'
b'hQCoQomD4He/fuPv/cP/8d2798m1KoVrtQw1QkuaSCKOUVNe6FHuymOWx0TxPbVYbPrP2l87'
b'/etJNd0aQ+Hx7vzpW53+9bE2wIkL62bEZD9YCAqrvdQTl7YQqw95XsYcZgte4QlQ1fF4XFEg'
b'NLWtFlQ9AkKNkhuhYJEuOLPsRCOjEj/ph/pFpsRjI4R1SsGtPdwx+DBRfvSU9j95tePddlTI'
b'OxmOySiaWQyyHWVsN6lBk1upRldXHbefnHZklsRXsybF4MT7At4fbStmZqgp3ppH1E2yqXOm'
b'LyeiiQHQtOcoHQvH597kkvpRVAtUMzMwKNKPhYRoNOzfu3Pr8ur6cq/TMi2IRnmR5sXIawIC'
b'sbIoS+qkHA3UsSkRS683uzsa+VDOzs4PBgNPSR5gvnq09UgctbLOuXMXfF5WZdlttdfWzm48'
b'ePTqm28Su4Tozo3rjx49WFq/sLS0dPPhtbF0017PJNkf5rPLS7h1t2DZK6rdUbneaZ9df/Lu'
b'7TtWv4SYGhAICAFgkiQtgt/c3Fy/cD7q5abhaLbXOF2IJoFF0ICjg1RBNV153TtElOf5tXeu'
b'knBvbrYcjyRx3nsics6102ych4RrbNNEHDRiXtW9XVVVt9ubm5u7fv36+bPraZpaqIfGiexs'
b'bTOzSMIisTjYQN77hLnX643HY+99r91xzk1Wq6pWIbgkmZudPdzdidU4Vru0jsOmTXAWDbGW'
b'nihJEmYNEZ7o8PDw3JMXHhMB+P+TJfAN9LnJWmJmJleG8XicjypwipjN44EqWBWiq1qYWTVM'
b'eZxjFFuNYEGdc1VVxnSxaANUlQJ4sLU7086ePL8U80orYGNzL8p8s5i9Y4QaXq5W5+LCbhYz'
b'ULtXQ9DhKO8PR+l8hwkMzPfSbivJB7kJGYuZseHgcPDGm1d7nfbe3kG301o/u/7EpUuHwwjw'
b'HAODZsEjpj0Jg6WovAGVsYtJTvXUwnFvzuOPo7LQ5vPEDJjYAPWvJAb0ByNOXFl5lyQhVCIu'
b'BO9cwiANBqAsfWCcu7DuDQFUBU2SxIemPC5a8KQp82xWx/fVMC7K3IcAAiU4So40siO4+umh'
b'B8AGtaBG/qjZHGJLpywfPfUhAjpMOsBIJ9llx86BotYkOJCbDgk/RpmISmr9R5xXtX9bSQEL'
b'RgqEuhyAAxCH29e0t9AjwE7TxpbE+7n/GTH5F4i6WtwwJg4Qw5Qv7XERAD0ukkJQTjj4QCLe'
b'+zRphWBORIn3h/mXvvr76+fWLj25PtdKGGDhyWwxwKzGgEddkVBPngB4w8bO6NadB7kXBdei'
b'3NS5Ok83HDN13tvIoTq6QY6K3DuW4agvpQFMnbYQvfbug82d9ktPr1046xxxQF3RQnGOwRrQ'
b'kthmDqgT55TwaDvcuLN18+Fev8r6ZXI4Lgb9cb9/eHC4A6gk6dA780XwZZLIaDQqRwURLSws'
b'wKTXExYE9aPRaG9/lOfezDq9dpa5uV6rx/T533596/LZb3lp2RGcQlgiOAqzA5RAwqgAD5Te'
b'QHAu8YGCRcw7U3AwtZieIQxhZnjvg0dQHI7yYAhlONzbe+ONN35ruf1d3/rJDz+7TICzGrcr'
b'ZvErAHDE6wKgIE9N9gfTm9c3/vv/6R/91pe/YtJCLcAm7qs/qGE90dUMYINXzyJeVVxSBnOu'
b'VQX9lV/7wmuvvf4XfvBz3/s93zHbBlCzGRrMoa4XtJhU1kxjAitgjJt3t//xP/vV/+c3vzis'
b'DC5hYrAzkhBClmUWVDUwahASAcmUG/iEDXB6WU0ro6d/jWtbG1cN29ElVssTY+HT155eyCfc'
b'wBMd97E9eexaQoSgUw3el9G1GTeXGO/1oSzLPH6DuDOCFGE0HrDl3DBvqK9i7nWAaaDQFOLP'
b'9eYieoRNOVbi4yfac4RJYSg3FAC1lw3WFPuyNQaRTdDup5xck39PvzsR6VQab+xlaoBuJ2ac'
b'HT8mKUDN8PGJe8YP0+KOGo65iQIa83jABCaA1QdwzfjZtL8p/JsepoYULD6dmUGRJJSEG9WQ'
b'SBuDIZpBoIkwqyOS8adYrB0iLlPdsGAwkaQsfOZaZeHv3Lnz9Mc+udxNV3rtw77Pi2oYIN0e'
b'8j1mHhVlu+3b7XYYk1GSl6VK1SGqfHi0tbOwvD4cDmEcQASSNGm3s1CGPM87aevqjetra6vj'
b'svja733VOadGDNrf3blz59bq+fOdTM6fWf3ajXvrly5HMwziSJyy2++PR5V5uJXVMyLSFJFr'
b'jRpMQmIaCVKKYmdnqyxL0zCVDHNsIFQ9AFXPTJMgS/Mr1YirTUn9OB/eunP73IXzCiNXK28A'
b'zIcYMSCiaBKQuGANVFTliUgkgYYzZ1avXn13mI8hnDA5lyAoiHZ3951zkiZJkkQTgtkFM3LS'
b'ytL94aEZSSzppgjxUWP9JUnW6XTMLOYIqZnGqrWIYkS1/WxxzhAUEBaokQMqzC7MO+cODwcI'
b'+o2LgE+dUG+RQNSCvrH+d2IAJsoSgGld+V/9MYVPAmnCgKS1jR0D68cuiPp1TDGPqTvDwt98'
b'eHB+fS4TDHJsbfd3h6URm0Uff41NF7Gjom0Kslj/H9RMewAAIABJREFUYerjOo/avzCDWYjL'
b'snjr1v2Dwq+vrzHj0ebh7XsPgtbqd92QidZYu0CJTKcqjtmYLBCLBNM7DzcX5i8CJECLcX51'
b'+XC8UdReQWbHwYd+UfXHuSmqYfHm9ducuMN+3wOgI+kYE+3UyMCb+6O37+yeX1tMGJHdKDTR'
b'f18qJWwx6bmKOhFCADtYgFCdvcwOClhARC1XhROAUPga/TOq7nv9fHPnsPQmkkEh0avDaaUA'
b'pwAEmqtev9NPkiQvi1EVRJI4z8WIiNQsmGai66vLDpCgYDbCw61dhSGR4A0RQpiO9A6d9jlG'
b'HGYygmfQXn842+/Oz9R7894Q/WFBMGKo9yYCq600NGo9NwtDm+8n9kCDjh+FfiAmmIVgD/fz'
b'3mw7a9JTtg+tKAoNlGat3AdQbaVM9hg2blxikSFRdvYP5xe6s1k9m/cGfjAY+KqQrFVWqiAi'
b'1lBFqDlE0R/nWLSQJuNu3PgPmlVQ21QEs7sPHi0uXqyatXJ/6zAvixBCmrbyvKx5aoDpZKkJ'
b'GwAElVYQADE5OxAR2Mqa91pu3nu4tb23urhw7uyZ+V4rc3UCvRDiWEWVOvotDkfF/sFwtz/e'
b'G4xzr0aJWtx4I5271NAiTcUbk3Gj/XubJtTjeoCi+BREwslQja0qi2LQyTpF7pNOW7NkJ7cv'
b'v3XvjTvJ+TOr59eSxTYSAAYXn2u1WauEyqCEseL2A7x7497W3iCwq7g9Vh3lw9FwtL+71T/c'
b'5RB8KNRpHkLhsuFeywlVo7wcDdOk0+ZMe4u+5Qk0yv3O9uHG3Y3dnR3SkLZbCyvLKytrS3Pz'
b'xbD63Te+8NV3zv/Ad3/qwhwyQMDGHIA6sQDwwCtvXx8rJWARV1kFUlQTQBJEf2+JJCFxnABc'
b'VqPCh8SJBj8ejXZ39h7df3D1+vBLX/n60xef+I5PffxjLz2zuoC0mSsTKRWTaSpgWOLuxv6r'
b'X3/tS1/68htvvZWXFVzbrPG7N/6RaclLRDIVp5qsmvoJx8OzUktXUgAkwZSEgtG97d3/6r/9'
b'737pV375s5/5jj/96W89v76Ycf0UqRFIYYCvVyJ2+v7d67c//5tf/J3f/dp+f8wuE8el9+TI'
b'zBDUCZn6mlOJbBrEMaoZFrkTETkrJuo1AJp2JGOyD8Z7xalXO781KpsRPj8iGDaYM7GdNXVM'
b'g//YqPuATVWUTvdPdIjYMVW7dhZGR7AZQqgw0UHJhBi+DFUxzIuDwTjAwCBi80ESQaXjfOi1'
b'Mk4oCm0EIuoPD6k6TCU4cmZWhVAFH4J5VVVW1YiAXhTjhYU51SCwuG9GRbkxP2Kcx1hgRgEm'
b'oEl5K8BNZ9N0Ur7EhDyzECwO7sRmmLjtJ9ZO1OaVYoHS0ZdxRNQHgwpzxA6YONQpsg4zM0ml'
b'XlVFjhL1DbUhXVsITWQgkv4CUNI4ziEEEhfhBGMKUC1aGSEEUELWANUwWT1z2BAhQFhBtQsZ'
b'gTlttTpmRuRC8ESkFsRlGryr4biZSLyZqaXiNCixBgtxfUXXcKjnkLCRQFSVHd29eycUo5XO'
b'7FJGN3YriITWnPQWsXtPTJl57D2XhUqSexVKqyqoYm528cHGVtKe9UV+sLsz350Zl/tqhUGM'
b'7eHDh2fXziSt7r/4vS+/cPkKkYZQETsFOZfubO3m/WGn07t4Zv76vXvbD+4urp8bj3KuzLFo'
b'5Xd3x9v7BxfmVs+cOZtl7bEfJ47JghIp2MCqxuxC5RORg72d8XDQ63QGRQ7ATKFGzGCuqiJa'
b'QFFltwARUg1lWTqXMjNJosFAIUkkBM/MV9+9WpTl8vJyUeUxZSDiFEWVXYipIecwU2IhgqqP'
b'u5sFHyrfTluzs7NvX33nU5/8UxqUiKCA2tbOtmQtNWMnTYlbECGFOWFflGxIXJYmLRExaIBq'
b'1ABDmO3OJpIWVaVmpa9iJnWc8FbXnB754thgBh+CI0Ii3bn52fm54WH//yXvTX8kyZI7MTue'
b'u8eRd2Xd1d3VPT3Tw57hcIYjcocLaVfCarGAIAmQ/kQBgj5IH1egBElfFgIhkXPtLDmcbnZ3'
b'Vdd95B0ZEe7+npnpgz338IzMqq4Zipf0EMiK8vDj+TvNfvYzM1nG3zETcL/W/Fbmgn9ctgWj'
b'y24xlwt27iZMRIia5OXx+cmyKbCIKiklBSRmRfDpSm5bgz5be14f7Q3AT9u2zEFMnr0+fvz6'
b'SLuEI90GebkMDeIe8AwNURQCkYEK0PFstkwwDfnsm/u7D569UoFWDDnEmIqijKkhQgzcih6e'
b'L9xc5cMXut24B7kNyAI+ePLi6ZMXHh0bGSyQpUgGDKiMIlJwQEVVVQR2k5YqAxYckrTGpKoF'
b'sSq4ZiuxKcsgxp6mwN2CDXkRrSgnxMFEsVNydDV4CAHmy5qTiJh20S4JFBA9pFLFVAW+thMo'
b'r+9wtoQ6WcpyNCLi5cjTw/8TkQEEQjE9r+PT18fJdkdjeH1ss/NF3URDsCSIQEQxRuTfQpX1'
b'hI6+2RNRIEyKx7P55w/19vVpgXA8Wx4eHScFImrblotSTAEoWypc2gEAA0MVMTYDwvO6+frx'
b'q2t7O9NJeXR0cnx8XNc1M8W6UaSiGi2XS8YL1YCrZnHekxyP9EDLDpKCmuqLg8PlL9uPPvwQ'
b'iV68ePHsxcukwMzLZZMTPL1zQQPDvJMDUlIFxbNF06aDh0+eb21Odzam09FoOhmNyqpgBAoJ'
b'9PT09PmzR48fPz49mU+2drav3y3GGxAK19hy92V3YWJYzbt+v4eLEOnFKolhpw2amSRNlNok'
b'BbSqBQCHAMjNeTr87Mmvv9Ab29X1ncnu5sZkXJYMboxeLJuD4/npfHk0a16fzM8b0TAirgAL'
b'MJzHxflysTg/qc+P28WZxbZu5jHNgYlwBIbjogiAwZC5sphijK1UTLSs29PT2etXL45evVJp'
b'KPDx8bEqSWJEPF7q//Lvfvbw6at/8Uc/+P33b29PSyEAMIlN3aZ5nf7s57/5mxent9//eBxK'
b'M6mCxWSRDTrDE4GCJoWghiKmClEtpeT5jBGRqGwitkIq8Isvnv71w+c7/7b85IN7H3/03v17'
b't7c3pxvTLQ5IBLPZ/OFXX/7qL//qz3/685eHR22bKDAiCRWac6X3TX4xisAlQfkbC4F2zsSg'
b'nnIESU2Yyi8fv/jqv/sf/vv/8X+6/9573/v0ux/cvXPv9v7GZEyhiK00KZ3Pl48fP/3q4aO/'
b'/vyLw+PTJMZlBaGMooTIzEOrujsGem4rgKAXjZ/Wbblv2eZ6CHkleg4vh57jo9ndoyvgJFIz'
b'j2eyrkt02PnlFuuH/epXP0K4ftwbUEW01aZeLM5ndZwv6jYmAcP8RCWGtm1FBELhaAshAhOA'
b'xbRkVaQCDE2TJ6BLai65oBoi93vu2rvbVbwdM2Nac4i90Fw4KO7t6DFw+kZeCeWDm/f31xyc'
b'A/uTicg54n2T2MWSB0K+HrtIy0OOTYbaL9RtrTuMAEAkp3wbDBcX7rvDRl0w8P592f1X/WBR'
b'FLBygDbsQgCBmZsJ/GFmJmCMSMjqdqrOiREtB+giIA6MTJZ0Pp8fvHp58/3pezeu/eLp11aN'
b'zIzGG8KFZ9hJYrWqWgpUYgjNop7V56Nr+1yHB59/Ph0XIQRCNgiBsV40sWkmk4lH5GxT/L/+'
b'4s9VjZlFjYi5CG2SX/3qL3/8hz/cmGz++NPv/PJvHiyPD2OCvek2i0DTcAFHJyfp/p3J1vbm'
b'1tb563MALThHOgICQ0oqnvV2sVicnRwFIjSLIpp18m7AZ+uHACAYqiZX6v3XGGNZlmbSxqYs'
b'y7OzswcPH+7uXwNfDQxEck5EBjbjbKkAxMCxjqNyZJLMUFQCIxHVdT3hcO3atSdPnnznu6db'
b'042kWgDM54vz8/Ot/T0uAhUhzwjNqF6bUtM0RVEQsaqllMS1UAZJoGqT8QYzN03TSmpSZGY1'
b'IVg5tAwnCyLKwK1lNBpt7ewdvj44ePX6/+cUoG8u/cRWVSBCDgDQtKnRjJ76THXTBhH55Byu'
b'QYhspgOSJ8BA/sDAQATmyZ41746Il6TTXLSzfV7opmwAzHbJ2fz85evD+7evAQACTEbF7ev7'
b'Xz56HkIFBsm3GSKH2sxMJGK2NWWn3ssPNzMRbU2Z0ExUxdMtkRECpaRAnAw1pqosk0htoqpl'
b'KNqYWhUPry6qnmPSDECFzJJpEhN1+QDNBBmRCyNMJhnrMiDLPsQG4Hb7pGBJ3TOYXDMGVgAz'
b'YDKQ+uaNaxU6mo5K8Op4tkxgnuvjDVYrzOsvAYAamiYjKjgY4vHZ4ny2MELAok0CAEjk1hJV'
b'6PeBfk9TdIQe4A2BhnLMbAYFFUNDaFN7eNacnhyUZRlFo1goKzIUcXMSUpb71TNqdlQnzggu'
b'mokcn52dnp4iolpqm6QISDlyTmobNAUa8ARcHugshle3CaIBKBKZmhkTqcHx6dlf/PTnXAQA'
b'SKoekzogiVzpJL2Kp4HD1AR9HUyyVYsCMqJKHYW5mM2bs/Oa0AIxdjhZ0zQx1eez48PDQ0lY'
b'bO6YYRQLga6M6XRZt1k9+qq6mrmZjBAE1DRZjLFpmrIaq1SmCEbEiGBJdZn04cHy+UwJzjWJ'
b'y2d13Zyczhd126oilRaoKEfjIjAhmqJy08hidn56cjSbHbaLc4lt3ZwbtERBpQEjmkxCNWEO'
b'QEFUY4zctsGK1ErTNBJbhGTQquDs9Oj06DDwKASKrcwW8bjhL163s+UrlLhom+VyeXLw+vDw'
b'8NnLV7XgzXsfTU/rjVGsCirQigIWgInBRAFUOvaFc4vNzHFKwhBCGJXVdGNjc/favB4lsbIs'
b'J+OqqKojG//6xfmXBw8nk8l4PDFkRDw/Xzx99PizXz84P5ynNrn7hylQYGYPx7HeVcOYbJcF'
b'2at6anUOZxvT4AgXBIZEoLis0+dfPfziwQNVBWQfhMxMoXQcVxVERIwRISZRzUHMOiE1UwLy'
b'zoqrCqxLh+9gEDczNOhxDaf8WI67P5DI1+VOJ7rAlQ+4cOGlL2tSdVa3vA8M+n/yrwQi0tT1'
b'fD4/X7ZNFDNPeJTt5Ai4XC5jjFCNIB8KIZRELMms8HlKBITqZOj+DVxkXtW/ozzlS7C3gZiZ'
b'GUNOwnPl+9qAl+89BQPF3jqx3n8lIkkJrhpXPXV+dVXG3dcVqncZk16uFP3XNAQAGEYBGvZX'
b'rlIXojQL6p1AgAOrdVmW2JGmspmia8Y+szL0WIaBqpo7zwN2kqv1xg/flA1gMZ89/vrBzfc+'
b'uL67U9FXSaKZUTmSajPWi2BJRJumQZVIiigLbc4Pn+/v38CAsjidLVFCSFaowvX9a2VBX3/9'
b'YGdn50c/+oMnX31poTheLptaYms8KmNqA02+9wc/LMrR6fx8uyyvb23+8fc//dXnXyazCUNp'
b'jZ4dVdd2Xrx8vYyyO57s37z16OkjYTNGVTVkBQFjAEipdTR9uVyKSIxRIQdkV/WUC3mJ66w6'
b'2gcJ9ZY3dN61hBBE5NmzJ0dHR598+nvZbYAQPLWR5QnsC0UIYWt35+DgSEyTpDKE1IoBiafP'
b'E9nZ2Xr85Nnz5093PvnEQAD5+ORksVzuhdD3e+4yz1JClFIaj8chZHuRewgYACIT28bGRlmO'
b'zpeLGGM2JSkAr2vLiDl4d0AChJSimQHh/v7eV5/b69dXKQBrxX5LmP/tZTh8/2HLEIF4S/HZ'
b'yM4e0MxKNAXijvLhkQjNPNZgT6B5x/sDgIhAl1JxkPD8zTASAFwEn9Cgz7xoxAD07MXLe7eu'
b'BXDHYrh3+8aTZ69qEQvIzEmViJMlFiezEgGBkYqucbL6dzBDDIQQkkS3TgTmD957bzwev3z5'
b'smmae++/n5I+/PKre3duj6eT18cnp7Ozj95/jwC/+OKrW7dubW1vv371Yn5+dv/+fQN68ODB'
b'jb0bOztbJ+fLJy9eihgFJ3yQmvO4DQdmEILU5S0HAPBAuQSAzsMD6A1xpDoJdHt37Bcnglbg'
b'aLaMRob0jsMZEYGCmrWGgQIiJTBElKSuK4nl1bxNwsz6BoHmjZ3YbWCZ8NoFEFCiWgGpQIQ2'
b'JiOkHGZGu0iJ2tmcAcyStERkpkkSIiFYqyKSAJRCQLNWPLiBtjEOEfo37azQDS5zfqUzEIiA'
b'AghIF+YFEKIIABmiibqrCna+a1e356XXz+3U7WEefNCQgNGIoiqIEpJ2+YZYDYuRpihKaghI'
b'gAwUiqLQlckzL/TOpHrLtr22svU7oSfzQkM3Z4mYMzG8vwRM1PcUVkJRUA2EgQoSsUYlhrFN'
b'J42e13UNxsFIktqyrqqqqqrYWmylWdaL89P6/CzFOZoSCBKotqAhcMVoZiIQoqQ61k2KpWb/'
b'FjJghKqAbHBiBBNGM5HlfI7ITcJaQ4NTKixZE1PZlG3NbQrLJtaz83q+XEoyC1aVRd22gSig'
b'SSd5uA6jqu55llJqmiZwORqNRqORWkrp3mwxF4XRZDIajaqqHI9CVZRlCIK4pAqJ0WAuOteR'
b'0IZHG0UiUHVwWy4QQXN5+2S5su8uD7B+UfS2cpc/5mCGyRGIsmgSOvjByGRECojMZG2joeCU'
b'kopWRSmmKSUKwTpU5d3lv7dU1QbI9PDXnjJkHcelz/DdoUIKSGvS/JXPWruzXUS4+1+H+ka/'
b'JogkVW2aZT2fz+fLZdO2CqKMHSauIoAhKwAAPU8wcOk8TEMmZiYCIxOG1eZo2cNV19eBzCbu'
b'eVkr34ALStHl9sSV0cOPrFKk9Q21Llh3LbBSG7rSt9KVnZiL2pvqM7xtPhdh2NeWWUzYi+ke'
b'OX5tYUQy0HVPbxvYCYZv1CsAdvG9hi3gB1RVRTsRFnr7EmQXOeBOAgbCqO2jBw/+6E/+4+1J'
b'tTsuz45mhkENuRwrFyDWtk2BGAiXMSlxMS5O6sXxyevNneszQybe2r/B1h4cvzg5Oblz+4aq'
b'VuPpp9//wbc++vDlk+d/+e8/O5nVpVkyYebFYtE0zbd/79OzkwMiiHGxVY6/dfvm+WIJIFDP'
b'aHmq53RyXLYWFOnW3Tv2MwOBNiUkM6SkSVKcTCbMfOf2nTv37m5tTlNqo/Ntunju3oTOrOti'
b'eXlgq9j/RaYYY1UwEc0Xsy+++nK6tTmajFUTWJdz2iEzAhfYxHQ8Hu3s7d597/1f/OIXgQtF'
b'46I0SWYWysIIuQhVVbx4+fy73/mOASDh4eEhdTm2fWhB51SDiO4T7EMlhODOHl04IwohSFWN'
b'JuPj5VmM0cwWTb1ZbRLRUOq8vLuFEBDAVPb39sqyPDw8/FtRgN6lvHlS/X2y/3/3Qq5lOpeY'
b'TJ1irsqAtlpEkDovnAsCUI5BmF12ADJyf6FBMiLA6qA6AAITF8NQU8OSZzXkkMiD5+XOVtUQ'
b'ypOz2fPXZ/dubPnRzRF9dO/2X3/5iIiMCAHNlAywI8MkFaKBp2r39t0XRcQ2xUAMCAWFJFGj'
b'7O/t7k6gOSvP4uL9a6Oo8OzLeGN7vLszWi7IWr67P0aDZ1/Jjd3p1hZbM03L8xvXxgDw5CHc'
b'vLY33SqiIBkAFQycTNGIgRnIendWl3otS3XO+QNAs2RgaGqAmlMOA0FkkLs3dyYByDwYNTw/'
b'jvPWlBiJpYuy7AHiu8Zz19LV28ee5akopmbkYhK5AxCSJiVCY0cKeZg5xnozt4MEA7OA/wud'
b'TSm/IKMhCHgAAe7mLXERzEw0M3QBDdUyW9/EI7wEIlXJyBlAdF8iDmYWVRHJ06F7zhZQsUsR'
b'poap5rHrfxvYBLBjwQISqJoaohVFAaCSVAG4YFAQMSSyN1CALq8D+YnqKSCMAc3VIQVmTuJg'
b'R1BEw8wSFhMGMWJjBgoGKAptiqRG7Iy7gRAPQKAd0LXC3oYb9uUqIZB7APTV8whLnk7SXQso'
b'IAEki5ASIqiqgbj7LIlxEYJB2ZT5klaQkUMo1TCKqxNJ2tguYrswafLwVkHDQBgYVWJCYi4a'
b'SbRcTNvlWDYroAxdk5YFFgxNTBzQJC3ni7IsJaa4qCkJJpWYFBGBR6NJGE2NThQwpXR2dlIv'
b'zpdNPRpvUChYNAAxu30ye5gJmIAlhSiWUmrbdly2jJOqYBtPeG9/Z2NbjKgsiqosCg5MZsIh'
b'B5STmNijDpmZtGYmoiCenpDFMlHVLY10YV68a7nQa2qImRvPA6kuioQQkMhMkIrsSKdIgQ0Z'
b'RGNSZixDQAxJIpdVkohchIApSTIDZMuposAMwciusjG9HU64PMzMzJeyN0vzmhGNgcjefbEr'
b'MwH31Vh/EKwu7f92Xjr9DVePSJJijMvFYj6f100TYxIg0JUKpKpG1rZtbFoHmU1c0mWgkLpY'
b'ZHlHHCD0kDX8C4/DbpIiImhCREIkJM1zytUGvPxS1tkx3IXCgQPsvvRJnfo6X9Uzqy7QgVjv'
b'1XNlcvjcIXJ/tUXX+g05x51GxAv8sYHh0cswDGi+OSIprFXYpX9c2SjA7TBmUJaj4dPzOf2m'
b'uRZDSVREFDwjaN8FCobciY2MFkVTlCePHi5nJ5t79+7fuP7s5ZdclijIodBQsrlJABVYkwLK'
b'5uZmKXV9ejIebfJok0ZVtb2tyxMqq9nx8YuD1xt7e6fL5fGiub5366Ot67v7d3/6059+/vln'
b'Z7MTACgYF/M6JanG02RSMRo092/uP33xsm1rjPPQnOkiNBvbzw+Ort3evHX3Xjkao0QRIwbf'
b'HapJ5TjaYrH44vO/sUA//NGPi1GVUiQjyK7kDgwIqqgIEhmKaoZcSVQoEqIZQsGeVPjg+OjO'
b'7XvejAqAiMwciN1oQEUgZlVdLBYHB0cf3v/2/Y8++vw3vxmVBYABMQKIyHi60TTLsgpnZydn'
b'Z6c7WzuA9vrgVVVVLuv3EBgjAUBSqagSkdRG64OMGa4GMxMRjadTO7CmaZh5Pp/vTHYAwLpU'
b'KZdHqM8vH0Wbm5ubm5tXKwBrqmQ/T64Y9f/Eyzdr/IOFtW8BwkBdYKbOQ2tlfLzqEQBvBpC8'
b'Pxz/8L8qb1qz8vO7L7ryJ81yf/DNRREBw9dPn9+5sWU5zzDcvXX9+cvXh+cLqCYARhTM0FSI'
b'MtHQ1+vLMVLQAIAooIgoEpg1qkzM2egKAcmFVlUoywJNESAQxtgW7hCpCqIlgsaUUuKuwiml'
b'gL43IwAJoEHv6WUESEgCmeDkfPH+9VejFD2dsTtdqaV2a1rc2pswACIIwELg5dFZAlJiz4rn'
b'WywPO2TgEOJSZEEslv0LCwoIYB75ByCltgQ2wmTKGUKQKyeIXSEwDJoXM2xtg9KvzU6u7Q8i'
b'IhkoCDp/0Vd2lZRWgT6ZC3BNMiki+oLo/gaI9qbBfvno2pEQgnY2U88MgYgxSdRIREycklsJ'
b'gu/9v1Xp175u+IFm/5nVT2bGzL6vi2pSSCJNR01BLjyN4rDSHpnkTWa0tRcczu6em4GdWGCe'
b'Ui6DP5pEAqG/JyJqx78iIqLAzGImsXF5mnzvNgIgFRQTc0dVFZOkmiwHGWNPBQma4wACoZrF'
b'WFu9bNuU84aqMUFAigZJlEADUhmKgGRJQM00aRtT26oCkcUY2xRTShgQQE1j25wv5qd128S0'
b'MV+0ZVmRSWBkZhEhWklpbphya0BHk7Cy4DDdmEzADckWKAQCMFP0KYAIBKApSawtNWyaUiyY'
b'qQgi4rKrddNqvVPABajfZaNZ26F8W83WVCAmNiYEQuoWlqKArHcZsoZQighiCaAikiyPxijJ'
b't+eh9Na5ea+XbgRaX5mLsvsVEv9AXBtYBgZXmZkPJOjk9eHjYLAMDmXrYbP0l3T3NhvyocH6'
b'7lBVSe1yMT87O1vMZm3btmqCnLIfVmYXEKjG1DSNqrJnl0djDk6ZEMGECUMgMiQjc9HL11TV'
b'wZyCi9Owf52rXuHC97VzrBsz1rlN81WjKwtRoB10dkVzwaWVYdWzF80O+WQQ6DyYr1r+r3AD'
b'GN7fsVsiXtGG82qTDNTvTIPwPsO9wPVDlyBhQGTC7Hy8Oqdvd3Zo0UMKDpQEBHI4DckKIlDC'
b'UCzn5y+fv/hg987dve2xaV5/zNkpYISqSlxgKKLYok4mUJ+dHfPh1o0PF2KvXh9JfbZctnvb'
b'1zCIaTw4PPrZz37xkz/+Zztb29dv3vjX//o/v3Xr5n/41S+ljZ5aODUtsKklQ2BjaRY3d7fP'
b'Fri7UT6ZH4eyPD09ffHy8Pv3drf2dnd3d2fHh57yWJGYWVSLglNKR0dHBQclOJuf75RFv5r1'
b'Mf6tywyQf1D3sxc1IiEuUEBEBAN9/uUXm1tbO3u7y7YhYjS1LmMaAAYKIYRyN5zMzpqYFvP6'
b'4eNHn376/dSkJ08fmVpBLJpCVZZl+erg9dbOzunp6cuXL/d29mKMBwcHbvMfxnLth4dbBhDR'
b'FE1z2rh+/EcxQNzY2AAAz+lb17WCgerlRLXdsEEnwolIxcRFsbOz8+rVq3e1ANj/R3WAbywS'
b'W0SnYXQITJ6uDO5kCF08XTUzV0fBsUzq2q1XAy6XofLQdfA7uWFYdgbIRlgkMxADMkgIRBRO'
b'ZuePX5x+eGvbDBhhWsH9D27PPv+qsQgYPJanimFQADBUQ+3SjfX5XFeRmlJSCgxMqmpJmIOK'
b'Hh3PYxw/OzxKTX3WwPNXR2fL+Pjlax5Pnx+ctK2eNfD86bPa4MmrozC6+/r4uE5ysoTDw5Mm'
b'xeOz0zCqnr54qb4tIyGhcfAQ1IUjKF27XUBTAAyAuDATdMsvmIGixkmwezd2qi6wjSC8OmwX'
b'rQAGjxjmYQt7cX/FPDaiHsZHUDVC9FRGKbcDssdiJVYEQlKFN5PnV0UR1iUGdHKLd3q29SMi'
b'E6WYBKwgBgSNEREDs4GoqAy2QOyAbU9jxIQxxujSZChERDQhk3kYHCRVUVVizAmvu1q/STTx'
b'apuZaiQCRCPnPZoBYNLERESFajIV4mxTglVcqnyP4XAdHBnYmTiIqiIBgLpNHMDjZYFz8QlU'
b'BUzdnobard1mwGhdPI2q4n6f/cbps3bCUN9YdZozkEF6UdhbiV3zRUNECiwaMafgUpGIACVh'
b'VRRtaGvTCIbABtwkJgoA5PagLBMQgoWiGI2DCvYwAAAgAElEQVTHY2+Zet6m1HJgVW2lTRDG'
b'zBSC6z/EEJDALDYphAAYmAtPCtO0y5Ra1/qaul22bTUqDUQkmgmjmjYmS6JwPjs6OD6Ybm2W'
b'o2kCANQQuCzYlBBRhJDIFBUzU1ZEzARACZGKAkpsUjQx49BH1A6MphhTMkkBKYChCqTWNAZm'
b'lRTrCADIOUmpM9/We+WqJfKb950uEp31tlbnESKbiAIxBwrBzEN0QIFAIGYeyKUonGIrGgKr'
b'apMMkYsy+AArAvviT1121U5SX00TF7FyZK3s9JV/xMFs6oaVIF2AMHrDrVkOdJDnyQAvNzMA'
b'R4UusCKHrXSlRGu2yt7dLRcXXVyzjChgAJJTGrVtnVISMEB1ZYGZTdF3uwQgInVdqwAzgxoA'
b'Bi6ziStJQGZSd7sksoLRCIEooV7uSVt5ymEvZ198i7xi9D9dKbijW+ZFYoxFx5fr5Z4rLoCs'
b'4uNF3QNdobGcCbZ7OnZ9tK54ZF/SQTWcoxk6ud8jCvDgZaF7YkqpGyMXbjycGgiMKH3Izszx'
b'sBzbsShHzOxrOwCEzgPYF8+higgAIQRCIGQPgNvbpX1EBSK1VDIFQCzKeV0/+vrhB5/8/vXp'
b'ZLcqXi4iJBXRismSGqqoICAjI0LTClIoBNN8GUK5vbV5fHpYlRvNaAtHuDXl2emBNe1P/+zP'
b'Tl8f/uQnP7l340Yg+tYH9zHK0YtX87rWtpEYGQkQmCmlREaAvLU1/cMf/+DF1w/O2jmjvXzx'
b'om7fH4/H9+69/1eHB+6t68we5pxkJjChWkpycHCwvbMzHFRkoF1kLQ/CBe78ExMjIXIXwcSS'
b'6fnx6atXr+5/+GFVVU1MhKRkIimlSMQhhLKsQgj1QmOUclRNNjeePXsxnW5+7wd/cHp6en5+'
b'LiZAPB5NUkp1Xe/fvBFjfPXq1ccffWs5Oz+bzfZv3lCEEAoVQyNE7EI/oivkVVUBgCL4wE5J'
b'OQREIgRBmGxsEoWmieLRhmIMoeymh0HvTwUGmWcO4L5PhABw7do1IrpiNfl7KFfOx3+cZQU9'
b'iqC7Nw3Mml6sg2H6pCRwlVRx5Vuvrd1rk/Yt569xqBzDQ0TP+iaICvzo6bNWOxkX4O7N3f3d'
b'DdLk6S+IqOCSqYAsiQpdBb/5MCJAopBSMqAQgkuQbZvO5/XZfKFITSvPXrxOgOfzRdPG2XzZ'
b'RG2TvXp9IErHZ7MEcDZfiGpK8urgtajOF4uocjI7M2JDSKpRunYgMgDx6IRu2EIyJ/lkuTdv'
b'kH4JAaBpQNvbHF/fLiA7PMFC4PXxmTiFBwR6ecKoWxpo2JLZG9WAXMJz9DcJgAYkR0Od8a9g'
b'nQehXpxHl9HBC6j/Kh6oqUgSEZf+XcsnNEZRiRKXYNEgSqpTakViD8eamZh6HVwIy+xAVFU1'
b'SSaJkcAEUBExpTalRHy1IHVpV7vw3ceVg1W9fA0AYgq+qRD1PlVX3v9NpV/mzCyE4KRzIgrB'
b'iYyqmixFVCFT/3DO3mDBVzH1pOtaleXFeztJLBvi4SoJ6SqhH6BTjazD+KEz9KmmJG2MrYog'
b'ImNePLnjyqsqoRGiuwsF4kxrdl50CEocU1IxAsTAFArDgkNVTbY3927dvPPh/s33J5s7RbXB'
b'RSVgQLixtbm9e21jY6ssS5fDRqPRZLw1HW+VNB6Vk5v7t2/s35iOJ2VgRvOQmhhYGdskMWWe'
b'Q9u2JtE0SrNYzs/Oz88OT08WsWnEg08TMztkzowurvhodBZTHyeUCJK0XBAVpJYZzKra1FGS'
b'eUogBXSndr+JaV4YEVcI+Zr0fzlTEgyG4rtvFsNe1k4KVFWJSWWl6/Y2JdeXtIuPgYhFUfhx'
b'IgJmN+v00n+nA/x2NbxSYH3LyQDQBfzucxj5f7UbirnIoPQPGtpw/Hv/pT/uy4VeKiDatrXH'
b'/ofVyF/F7cnhmywvCN1DEZmwD1fSwavkOmUvCfuMo/Vtzv9qZ0vvG/zyOFlrz747+rtpThew'
b'vu0aSN+Y/bt4reSij8RQD7mq5OB7AHDZxa+vK3psSlx1aH8cIBsGYEXpvvR2sH58oCPZyssQ'
b'qCiKYUN50/EgLlD/UJ/jJQcOFJgK4r4QETMRd24YJs5yfvb4CaR4Y3tyfWeDCKmsoCiL6RSL'
b'gAEVNWlsU4SyxOnWaPfGdHu3HI1Tassy7O7umeFoPEHEtm0/+fjbW5Opxfg3n/3mT//nf/uz'
b'n/3s+PhkXI2+9cH9Tz7+9o9/9Ie39q+54xMR+c7iiclSSh9//PF/89/+V7s7m+3i9PDgxaJe'
b'clHdvnNvfQwYMDNxVt6KwLPZ6XBsr20B/URwQmama5q09dIXh6+//joURahGCohMTWwBIISy'
b'LEdVOa7KMVOhAmezeVmNq/GUuShC+fXDR+ez+R/95E/KcqSGZTnCLmVy27ZbGxunJ0fL5fL4'
b'5CSl5KtNCGFF6hhM7aZpENEoa8i+GnvdinKkQGVVMbPGFGOMkmKMOdbCpc3OzHKiMTMAaGIU'
b'kd3d3dFo9EYF4PJsedOv31guX/7bygp/d+Uba4JmaOZJSQA6SyqAc1vcQkNZilS0vG72lw8F'
b'jmE7DNc+INRMMAHtQhf/Fq9gAJ0YahlQQTNU4tm8efD4pTuNglkA+PQ73xqXhBIJTZMgky9D'
b'zIwAasNUVN2GCmIgDnC6Qdy3h9XcAzZFIu53SgEj4n5NRyL3T++9OUMIAERFmaQTK9Woi+rN'
b'F5zZMzu///hBIjBNgNltWiQG1DHrh3f2MsWfKAI8P1ie1w1yQBMCY7iQYjPvHJAzenohUO9c'
b'MHEPy8BIoBmWHmLkmnJNLAupmd9vbjzRzmHBHCF2ONmSWEqqopYQ1IMqSUwuuEtqVaJp8qeb'
b'ptV/Vfwc1WSWt1lVNezwVDVCM02EotL44ASVLAmZo3XmIR/8g+bJp/FCEwxHrAqZFoRk6u9r'
b'mihbmNVEQY0A0cAk4SUHg7eUft/yEdXLHP6FwAIhIWBORWaW7QBZXCM3vCVhwJRayIHdAVZG'
b'o5VTx5oA97bly/urVxsIEUEth2M3uZAPiLq0REyFNyAjoVLBJRG5ix4xIBoVINAoaEytX82h'
b'HI03yo3t7f3bN+58eOeDb9+899G1G++V4802KoQKi3I0nk6m2xsbm6PRiBhGRaiK0cZ4Y3Nj'
b'b3Njf2/39vb2tVG1UVWVmYm2gGZkCSwBNqJJsW61bZOqufcSmKjE07OTs7OT88Uiz9CuiaAT'
b'8kSkbdu2bZvaDUu+c2SVzzO7ertoUteUVRGAYwJRiobJQmOQgDKBwS5MczTzNbNXCVBXwgpc'
b'qk8vnw13NS9iKIaq0Hl4egj9DAeDJtUkEn0SSUxJIRpFo0agEY0GYiiAApi6ZLQuSAXEgijb'
b'Xi6Gk79cQ+ikduhss7S25ZnSkOezOg65wqJm0ntiWCd8u4pi3Xe4JOjn4ncQ7e8GAxO0db7d'
b'a9K/aBSNlgTVej0fIEeSAABmrorQQweaBBFjjG298L0j94LYdDqNMQqgIqjH0kJDtMAYiqwM'
b'D+Xs4TrQN+awcVxmHbb2sAxXjx6D6IUqX1L8bi7aXhZg+gcNBXHR6Al/1vbrtdoORSsYbCX9'
b'OPFaKXSjFx3DyjfxQeWKVqd/Yn9htwBm5ysPArFCE9D616+qynNI+Zmd52hvkrpATM3NpUbm'
b'mXKSafKQEi4g963kzfjq1auTw4OK9Nb1TQWJAav9vcmN6xERCM1UQSLJiTRxc/v6d7+/ee/D'
b'zRt3jo8Pz0+PylBsjCclQTM/PXj1bFIW3//e7xEgoC0Wi1/88i//9E//11/98uegcu+DD+69'
b'/8He3g5CKjiYoQK64miY3/rDDz/8r//L/2J3Y2T1/OTkBIiv37pZjiYxJgCCLgEoGgyD5C7P'
b'56IR8wQzd/xNqe0Db6gqqjGgmSVpU9v45Q7YP3r06Pr1m6oaJSEF4gKZmQrmYjyejsdTZq7r'
b'lrnAUIxGE6ZQVCVyePjosaj98A9/PN7YDEUFxMfHp9PpJnjoJMRnz569fPWcKxbT0WjU96aq'
b'JhEDMAQxNdG6rkXEwZOUkhsEJpPJdDpFpqoajcfj8/Pzul6YSV3X3sVDtSelJDFpkj7phJkR'
b'URSZbEynmxtvVAD+X5TR37bd/tMp5NDMb1Muv/jakd+pXd5JxvK1RhAfPHl2spSeeDEtw6ff'
b'/rAEZUtIFmOk0KUfNw2El3MjrMRCNYeoichEs9UAzGdUz++sY+uwcQihKIiKMuZIMuBnErEm'
b'K4rK/VdcOA3MoBII0cRUnazWpYIlG3w8Fr55Engzf1DJHLT94M6NUeGxsiACnC7h6YtDpELM'
b'AJRyfBjtnbO6V8M1c0r3n6zjuYIAmLJI3aUhXP+L/fesBvjefnG3VjN1nWodn8vbfDJR1QRq'
b'qskkmQmoqKpaysqYCZjgCiDsNzMFUDIlMAJzmeOyzHTlsFzTTnuxAro3uVQGdurfda1404Vm'
b'poCQ4yV2H1y59qJZ3uFAPZXm2uXwjvPkqqL99FmpwCsYiUwRFC3j1swM3AGWYGoIxEgMXUhm'
b'cYKpJjMBVBVrmogUuBhBqEbT3a29G1t717eu3drZv3nt5p2daze5mrRR26hAxWg0zrkiiyKE'
b'UFXVdLI1Hm1U5WZVbY1HW2U5MrPowG3bZLReu7TNIho1NklFXDTUmNq2Xi6XHudFVWUA8WLn'
b'b+1bZtu2bZMk2+WoSyRt4i/WKUWdNAlimABFIZpGUx2MNLpodekH4XBwXR6rbzr4jsWybdCs'
b'my9JLCZto/SfmDTJajL2Q7+/w5u+XFU3XTs+/LJWscsHLz/IzNBWaidccqVdq8mw9BLA0JLT'
b'qwExxnSx9DJ0lhSJcIDE9wIxAYJa0zQiAkSOZzNzKCoKpaqKeyW5t7cTgTyFFq+UpSHeD51s'
b'Oqx8/16XF6VVWw/WTz/izOnhzXFAkb/cfX7/YWyGN7XnWl/bAH52/XB4w8vqzdoThzIfAHSe'
b'abk4nfCKUYE6eDQPXxAGCtKV/x1caB66ghl5UPzdFD2yDTKzirx4/rRkvb2/My2xJLSk57OF'
b'u5YFAlAxMwiVlOMFFrC1XRONNsanx6/PDl7Us+PZ8QuNc0Z9+uxxSgmZRPX6zRv/8j/7V++9'
b'f//Rk2c//eXPXx8dWhmiRlcsyYgoeNJKNMgyOhf377//L//5T86PDx5+9SCK7V+/MZ1OPahd'
b'CAFkuIK5fmKS0nK+GA6PfpjBVVuPD9SUUiB+8fSpmFIRYpKY1HF6AAghjEYj5+6fny+IaLK5'
b'gYiacUwiopTSo0dPtre3f//7PyiKqqkjYUDEtm39KY8ePXry5Imv59QRTACy9uJzzcOvzWYz'
b'IgohlCGoatM0bduKGACMRhNgGlcjVV0ul8w8W8zh4jRZG7FD9QARi6K4du0aXR6gl9vlHQ++'
b'pXzjU/6xl1V0HMtgqQ23Lr0sb1zeAN6y6GcZB66i4FxRum3mIq4AkBkmluFQUqQW6NdffJkg'
b'R1tk0/eu7bx364amhhmJIKfEU2VAcADJOnh4UIiAGEpCFAXRwiPgayIiAUsqISAzE/HNW3cm'
b'U75+/bqq1ktRQ2Y2gJQAEYsQJOaBXoQqtYJqCKqxZdPCjEU8wUx5MauU4oBDiuqKu2oKBCot'
b'Sn17f+fGdmDHqAFagAdPDiBUPZDwrmFZXYxe+5iRGUFGuNDUs/kB5hNctejP7yR1F+vdnVhA'
b'BDSZpg6uSw7D+KeTMVENFZzkg9olnQGVtQ9qRI1m1g9OVENTcNTf1NUPgk6EHg6ab5JsLpf1'
b'jTMHJbbOII4MyKvxe8WMWGvhNz4IyT+K5NCsYlAMCoVYT8V2KGtQmczpvUIweuur0Zru11er'
b'D7/g+LWIOKqabwgKuEKLjRAwd5zbbgxAkRDYPKlWMpc0TVUSUBiFarMYbU62dsYbm9VoUlRl'
b'NZpMt/c2dq6NNnaMKsOSuEIuugFgKkKAzAVRiVwSVkyFKcYY27ZNbWOaWKQwKUELE9JkUSQm'
b'idl87C8ibWzrup7XTRObpk1JrIvfiIguMbsRIDaNdslovXUFIaGpqphTUJKYaObJiaIoSmtN'
b'slYsCiYc+MEP27oD5lb9RVmnIpcd15bNywLN5W7Nl2DnfO/TQQVN0fJfVU1mrUiTUtvGGJMD'
b'sZ1w7J7Zg89FubOv1UDmuzCS37KGr2qbV+lsWc15/S7JajZAB1QV3ICjoiomAm71UDWRnHEr'
b'RwNTX216mHMo9/fF7ynJJFlUaVL0j8akelGcAu2I8r08neq6jjESBcvRr2k0mpTlyICSZijD'
b'1xkXd5nW2bOWbUpX7JvD0nf6mjje+3Sqrlovp8G6UPmrh8qFLrtkd7ry/PWt9qo7D8fqxZNo'
b'tUoPFAC5HOtvIOXTN9W893Qf1hwvuiyvtZ4voAwYCAKu29n674wEkh4++FJje/fa3h4FODxu'
b'Xh4uXx+zGIpClKBQKBdQxJZOF2117cb4+vVrd+8Q2enrp/XR09LmDEukJCB1E5uYIIRqupE0'
b'/vFP/tm/+jf/5t5HHz87Of765TMh4IKkFTTQqCWXKSkABGM0Sgqa5OMP7nx479bi/ExEilG1'
b'f+Nmm5KZucVmMFrcCcc0ptnJqbdDp2auwhznFkPrZ1m2Qpu1bfv48WOPM17XddM0IhZCmaKq'
b'2ng0BYC2bVWVORDyZDx120t/n6Zpvn78ZGdv9/37Hy7bqKpEpEnqxTIgnRwdHBwfVaNRqErX'
b'K3rNhCgIGHTWofl83tnrRDpinndTOR6VZTmdTkFtPp8j4nK5iJoteMPVtds+wLNVu0JkhiGE'
b'W7du0dtH2N++/J3e/O+jDKYu/K6v86ar8B3O+dsUQ4hmR6fzhy+OawEDYCQQ+L1vvXd9bxul'
b'UWs9IRgOjKpXFRURAjTRYFYyqSQi8igEbjEUgbZtt7e3rl3f//WvH3784e0qBC6cn5MAADv4'
b'EBGJuY1JAScbpb93YGSC1C6LABLbUVWKCOBQZrA1rjAZFIxoSqnd2Zzcv72Rfa2AFODxi/p8'
b'KYqsQB5J05MFAJBnjB0QXr6h5R2zz7i7dhB+/9fW/6oqqqKamXqQORAFTc4kcWBOe4l/AD2q'
b'o8hgFwfD0EXBhh/o+QDdJcM9suNXyOBF1uWY/sgastjLW2sC0N9RuQJQsIHNxxxwz7QR0MFb'
b'6AXbxVvKN75C3ybDWnUkcFIFF7R0wDN2ODQQFIyeAdfdyKQLR4jk6L/DzmKtpqiqSlhwqKYb'
b'O9ONLcJghEREgctRNd3c3rl2c2vv+nhjr6imnV9m27ZOVDURDzCNYprU2pRilKZpHMQlDIyB'
b'Pc9fHgA5CKB/FxEViU0dl3Wsm+WyiTGKKRj1IWgdIfYnds3igUKxk7ouGJp7PrmZqSZQEeet'
b'/e5mmHfqu3fEoWzgNE9oZIaqlpJKkhQ79fvClBzOzeH4d4EYOrm2r9tQcFybZTCYlWuT9MqZ'
b'1R0WsD5Ndt641y6x4W8DOPyyoO9/e7C/h/8zB3pgBAAAD3ctlllV2PvR9kQXALcAGILkXYNG'
b'o1E1HgGQKSqQxxAA1+sGZahd2IC8frn11tpwra97abXDp8jMmLmqqp4t85a7vaWsqRArxGHw'
b'rF7I7tv8yvu8aXz6T37hmspBcGEj7kZZX6sLjsghFIHLXpz1k980qNYrkQ2EsjLlgaimlFpJ'
b'CU3B7OmjR4v5bGM6vre/O2YbcVFQUYYCDYoQzDAJcDml8VTLiVRVS1S3saoqbZdnx69S27Rt'
b'i8w7u7tVNaqqsRm+fHXw01/8/C9+/rNQTe5/6zsffOc7YVQtlsvlsinLMtYxtaJJCuLgKYow'
b'OOK+NZ78i3/+J4vz+Ww2Jy5u3Lm9XC5huHN1jdP599n5bOY3yW/cKQDW8Z0Q0UD7WRBjA2Cz'
b'87Pj4+Oqqtq2TSn2v5rZcrm0jo5fFGVZlnVdM3NRFA4f+CAvy9LMnj59euvWLQdYCYOItW2r'
b'mlxNdQuAx87Kk8sDSRMRhTbF0WTsOglmCp+zGSV79BFUVTWdThGxruskrao2TQOXJlE/cy8v'
b'Pru7u4M8ZINxf+Wo/d3KUB8Fo3fFuP8ey4UaXirqLPcrLsvGOxhQjf2K37oC3Qz/psWJAABB'
b'1o50Nxk+1xkp+baNyGdfPdyYTKutkixni/vBd7/zf//7X0kdVWPgygi7RFHrTzVU97CxFBkg'
b's3VBru1fv35949e//mpSjSxFUCuZJTaBcDweq4BpIgTV5GFqTI2I2qRKKojGdDo/P1uk+9/6'
b'6OuvvwYw1cRkqgJE7p4ImllACEoA2AXgUyBQLasgTSpINqfVt9+75lnRk4ERHJzB05dHWE6W'
b'dVMUDLDGb7/Y/hf/O+xNAwEANMtaAIB5WDYjQEVgQDUPIWpkIPm4kZl4rCFTAwRTy4K4uROC'
b'evxH8wmJq+g5ObI1ZMem3NyAmGNS+Aac5fuc68pBI6dzuqP0hVAh3Q76xrxYQzNgz2HIgyeP'
b'f1wf4V4v7QINAID8jpk9Vph7rmeXQXl98/aErIpeYXfodpe4y0uWWZ+x1Wt1dVaNy1f5COvX'
b'UAQmAjA0xSQWRUWcEUGKioiMACYIIGCi6h2pmpCMwQKSgICoJtMoVCBRAYRMBRclaWIuAABE'
b'NWU361CUWzu7yCRiVTUSkSRt24JpsjalpDFGA0kaAwZkNgAxbdo2SmJG4MKoMi6IFAUAG+vm'
b'ICKa57JJMdVNM1/WVU2AkJ10e06FiYjEmNrWtx8BS6bJgHNSBDUDk0zz8H6yLuAMAZoAJWDB'
b'IBjhQsipfrG9uOpSPw545ZoPAO5wvsJEL5fsdnVRBMc+BLuvgStLkQYGNAFMAMkM0TTD0Je2'
b'P8mEM3e58fnQg81XU8Mv/9fMQAV76XmQ4Z06dyTrov53I1DNIA1YZ6tGViUkhOFysSqrp2cf'
b'YofhaagGeP+amZh2/Zbr5rD9sOZ9lRyjNCD0UAqAktruDrmUZVmV4yWhh6zxnLOYBVPXAdS5'
b'7gLmi1Hnrpp7/kKjXWxJj1RzeQwMBXQ/gdm17uErvE0aXmtARGRAX9AHV6xbKgaXmK367oKe'
b'AB3tbU0T6FUIR4sRs6ZkZpAbRFSVOy67qvVb+RoC5tQU7zjiLOkOh9PwoX5zNbcS5/fIIV4J'
b'VYUATMRnsbER0Mnx8fHx8Y2t6/s3NugrDZuTaPN0ZhUzAdSCCwobW9uj/Wuj/T1hBsKiKI6X'
b'y/nsvKSyqvYW84Nm3jx89OyT+9+uKKjI6cnJ6xcvD18dLhfpD374w50bW9W0YiRVAGRmCIT1'
b'YjEajxWZkVQ11pEBQdPO1ta9u3cXi4XtTG/dvjsajdCg4KDdhOi72xBQYXk+F3FHR2/bvBcM'
b'g7X47FJVAUkpaUypjW2zrFLFyp01UmLUoijqZTs/P5+OqoCkiEVRNG1dlGFElYES0rgqm9ie'
b'n585XfOzzz47PDzc392pl0tUC0hN07iewMyhKCiw2wdMjUNpAORQKMD29vbJ0XHS5GkaJCZV'
b'NRAnTpsmQ9vYmBBarJexacsizOfn47IEME/0jIbQuXjl8erLD6GaJcWiGn/znv0W4fgdyztC'
b'dP+A5a3V+weo+d++zfuCiBzCoo2/+fLBUj2kFDDAtIQf/+DTccACIDW1qnIR9LKNMwuXqprG'
b'o+p7n3zyH/3oh7eu79+8fuP+h3f/+jdfzmYzdz8vCiwCnZ6efv34ycbGxueffW6iYFAUlaaE'
b'aEWB2VpHKCJG3Mb05YOvxuPR3bt3QNPd2zd/9IPvv3f3JqEVjND5CueKZC/bXIioWdaMOin5'
b'O/dvjBgCgMf+n7Xw1eOXiqGN4v6RzDyAkDOwPDDpfrMlWrVz0fON2ZK6C51I/9ePi4hIzDB/'
b'EtWO6mOZ5e/r++rWa5KuJ2JSyya8FUEVNUtZpjmVj+83w6T3hIhG7BSaIXD1jYPk8kYFF7mz'
b'f8uy1p6Xfx0+FsClau0//X8BcpbebMy5xOEByBSLy0vbO06rDuXOi2ffCdrjYyq9uEAETMCe'
b'bMEpLJADvA7ak6yHaUHMDIkolMlMBQIzqjjOn6MJMRflqCpHHAKgaoz1Ynl6Mjs5OZvNZovF'
b'ool1Sg0WUI6KUHAIwZ8WqhFwQCbE1cAwycgudq7tmtoU69TWbjdww0KPGTvsNLQAmCeTE3HW'
b'CYjD/9kIkAFExeQ8NVUQAE/+pet9PZApuyN9UNW/kz1ifRQ4ap8lqSGnblDDoew7rOoFWfMN'
b'nM93OXJ5LthVpVMAZPB9/de+y/rvPd3/MsW/5wL1f4fHRURSP2wRAIwQQAfOzULOUEds27ZH'
b'Uv0nd1QByxHzel0CsxltZUyzDoXFi2j6sMEvtsAVK0aPjF4+XwekoAsjbTD21sZhL8Sv3n3w'
b'0Ct7Z9VS3do7HCSIiHb1urr6vQt40D8IOxv32sKLA+20t+iaGTOX5cibaNiS+fyLtlyAnNVd'
b'DeViXmHsAukEIuf6MmDBaCl+/fUDQLlz8/pkXBTTjWp7T6iIBknMgIrxxmhjqxhPgKkR5Wp8'
b'cHRyNq+L7f2bH3537/b7gmUT9eRstmxiGI+pnJTjrdHmbqPwq//wV//7//G/zWazUVkxBsag'
b'SUEtxWZUFnVdqyYBCYH6pq6q6nvf+96oKOtlu7+/v7GxYV2Mfx4ogQoGQAS4nC/quh66nQxV'
b'3EHLrFx3UkqTyWg8rubzmXeQ7+x+bcGhaZZuBzDTtm2bphkSsZLEul66P27btkfHh1VVzc7O'
b'yrKELvODM3ZcQ1gNfst7BGHw3tze3nY7m/u4+z2RrG3bxeJ8Pp83TVOWZVEUzlMykLquL0+W'
b'tRWmP+7t9k55AOziIggXLQb/1EoOI/OOZ9vqEt9BrzpnhTV+QyIk10+H5+Al+8PlxS5zkLBz'
b'LcUVvNnVsMe6rP9PtgkYKBhXo8PZ7Je//uLH3/t4zK4L23YVfvLDP/jzX/6q5NF5jEiFoPvM'
b'dXfP6egBAVR1f3+/DMXjr7/+7nc/iAp/+VefnS/myawoqo8//vb5eTubzUIIT5+/fPnyJYh+'
b'+nvfXyzq8/mSiwqA2haYi5TqkhkBQGiijOUAACAASURBVBTQYhP/5jeff/LJd65979NRhX/z'
b'159965NPTmf16SIG5BhjYIYuMo+vsjmwDllR8KjAjz/crwKUCJAaCFWj8Oj58TKqhZGJMZEI'
b'JPEEDT0vwgD6rMcK7uF90ftZ+wygHSKMpllu6OgEV6hLXYJN78jVcTVDRV2J+6s7rDB0wCyg'
b'KAD04d4c+QaEHGEyk0QVkACUMkaKAACMmSWU6fA5myaZDxoBoDUkHC9mqLg89myA/Xc8CoN+'
b'DOcmoFxP1FX931rMDAdsV8h36b5fjCbUmci6nkMEI/Nw7LkKqxgjuZ6O3oJetG98c8mJwNTA'
b'jAwYmDzRKZAqtFFSVEkmrAqE6JxvJkJmUSMzwOwmZIYFkBmKoiawxmJhIG0rFgmLoijGo+lo'
b'NB5X40k1KYOJoilXVUWBogqIjsaV++U3TZzPZs0iQhtVEzOUVZhOq8m0NK5CisjklLwQkFgN'
b'olkCMzD1pLw4SCfUxmXdnDftRtPOuWYLBKwrW7maiSZ3j1UNITAVYKSGScwEVUmSqpqCdeEq'
b'FYg7xBnQUi+NeavKBTnDh4hdCa2sddba+Lx8Zpf4sh+HOZZ2joPuQiYCIPpHAT2ivanH+s0O'
b'JzCoIeR7rdLaIboLJq89vb9kKCy+6XXMzGmQjv3b8Pjg5KGI2Uu0SPk3hQSdZDk8s7/VAOnX'
b'oQWg7wUAEBUYMI+18w6UPh4OIeachCvYuX+QmTTNMocG7n5yIgQRWdKUVJiIkLhLYuieMixv'
b'wiPW3mXwUoOQXJ07ste2l7r6jnBHFV+16cpcExfb+XJ/dd30RuqODiB/PwK2volfeTki5ndx'
b'whKCK90Xnnsxgmf/Ul1a4uFBMwBkcnqM9QqAb1WIqAPqJyFo13qBXIUzJLKMJHVFicAECUlU'
b'mJjQvn708McpXtscb5ajw5NlVW3w5macLdkSJBgVZaHAbZwfn2JVkOrJ6fl07+Zk51o5Dnj8'
b'FIpx0LqN8ddffL5oDapNKyZhHEYMP/r4g+ePv/rz//Pf/Sf/8j+djnYQqSiCqkCS1NZUloba'
b'xJqqUQghxmimyEVACqORmY3+H/be9EmOI7kTdfeIyMw6uqsvoNEACYAcHnOIo9FhWlu9NXv2'
b'Vv/1ftgvT7J9O6tdaTgaDmd4AcTZaPRZRx4R7v4+RGRWVvVBEBxJo12FwdoKVZmRkXH+/Pr5'
b'aDiZTMrpVFUlKCJpq/uPekwD4OtmPp+PtjaxW0gqqCoihlaODO0paAo3uHv37udffVFVFRnH'
b'zHXwmbGN9xYxeB/qJs/zLCum04so6y4WMxFW5apasIo1mapUVXNxcTEYDKanZdM0qoogIlLX'
b'9cbWJNJVSTQmixAYEQFDqlpVtUUcDYbMXNWLYrBFBurKM7NR2zSN93VMqUKIm6Px4enxYrEY'
b'jTZayWR1xfYAhuiSTkqTJ8MV0/SHlGvP/utW/h93SY53vb/fVS516Xc/4/t2y03Jp5bm6e4q'
b'IgoiYN3hyfnnXz+NjIkG1AFMBuYvPvmZI3B4RTMS8Gorqao6K8z+wb3zafjVp5/PFnMvnFn7'
b'8Yc/MgY/+/w3u7u7P/+Tn/3JT3/snPvpT3/qnPvt778IKgHVc8gyUA4IIEFya61BUiBV7/2X'
b'X3zx/Nmzuub9g7uq4L0PvsZkI+7U89Qp7A0E0mZg4cfv7W1kkKRYkweAb54evzqdgs2YFQxF'
b'9qure3hJyS9r6D9G9Mb8R3EVYXcsJS2+qmoXMK2aqPf6p2//GF7X+q+hhP6TkzJUCdaCsAnR'
b'ACHGtERR0WssokE0RIRg4j8gBDRxi4fu9RAAaE087XfL5VbB912z+H2WyZUVLN8W2vj2aFbv'
b'R1qvNF5bNLnW9GWitO9ZpE2hQgqIBoxFE/NAaRzEIBKi80Z0/4vCWjTpkjFxmADioBARGgLC'
b'eN7HI985Zx3luduebIyHI2uNsUk/6pwZDIuN8XAyGm6Mh5sbg41Rbi0gogqGENCYYrwx3Nzc'
b'2tvd3N0ejkcut84ZogR7nHNEyxBD7XBt63si0jTVvC5nZTkty3lVLdqMpInyMpo6mD2zRxVj'
b'MLOWiGLWBen0iIAsEASCACtom6leRAQwpHiYFQXnGlTtCq+pY1eB4JXDdPnXS1dSa8BZmcCs'
b'CkoCyezQrbErK4kBQ9ha0uI4dgVF+2EA7R3fXa4EnZd3hj4oiX8B1kIvlqVvDVhq+oOu6Pev'
b'KcvrVbreUNXk/4dokWyE3SiCAKq+bkIIgBjtAwJIaNFaosQixRINlQTRexNjVMqSIhPbGABt'
b'HcPWBl1buL+6kS67qIsciA2O/+18u/sb13Xju/ZTVzmv7r29CqOQ3P/cVSK6vqvf5LbUDWU/'
b'5L3NGHbz3kXdHktEpqVoXWME0jbbQPfE5VPQJCGEovJIRQIAxDAnzyFtHexR5fDF82pxkWe0'
b'tzsBADTOFRsBDBgSYFVdLBazs/PTo1d11ZBxg+3drbv3hncOcLwpNhOmyFLwej7T0Tjb3R/e'
b'eXdw+z5nIzb4f/2n/+iM+eXf/benj789PT09PT7xTZU5Y61FZdEAIE2oGdgYg8ZFpXVsOZG5'
b'd++BiLYK/mXqjDZNOzDzfDaLOqkY4QMgYKjL4971tkiI1nsR8d7fuXOHFOpFCaoGCSQ0danM'
b'TVPVddn4aja/CKGp69IinZ+fv379Oo5mWZYGSSWUi9nx61fWkiNsmmYxvQAAQluXlSoOBiPB'
b'mOlGIFoiIc12EWmqGpScy4jo9PgkamEAQEKS3ONGnQ8Hojjc2BSBGC48X0zXNpD+giKiyNnR'
b'X0S2f3UnD3ULVVcXCUAUYhOzQ0pdnWhAOk2GXNoH1zDE2/kK/6HKd5tu+w2OtrTOD7XrmZWr'
b'27M1XQOkqz7H2OqxcOUbRcQ+U16EFK35rvd9D/fopUyQSUbpZv3qb5iIpQwQBKJHLw+J4Kfv'
b'vWNUDAIx742zv/iTj371uy9PZpW1VkFFBWMSVqHoqo6WAODo9CwAZll2+vqormuXZaT+g/ce'
b'5hZ/9emniPij9+9//cWX77zzzl/94ufTRf2b3/22ERGDqpoRgoAlaBgeP37y4YcPfvf7b8/P'
b'zohQROu6PPZ1HXhzc/Pp0dOqjukIAgI5g96zkMWYFF0YNTjSSWE+uH9rlMVUihAQBOGb56eH'
b'Z5XaQkHBILTUR5DSpwgCAYL0aDqXI9dTSKsIaFwojPFD5ySwquprTQJAa0qgdvlhDKeC1kcf'
b'AS7ZfFbGjHq55JSgJRTHlb/rmsik8eh9IyCYtHgJZfUUsNJ+DW3zu1kH60V4dUpp8the+bbr'
b'zy6H9LIl6Yoek2D8SVpPjC62W3X5mrJcpwQAEWphzG9BCiioqqItUWwMuF63rcGKAJma1Jcc'
b'Lpe0MEkBIIgCEtm4fBmUVTF4CV44y4IIsiEEAyam3ySTWGLJKBkxVhHVIAiqKhskADJkXWaK'
b'PKMhGGOcM5kz5EStcaYgL2QAhUe5BVXnDFkQkdPzSnUyHI6UITck4l0um1sTk2cZqM4aIXZ5'
b'UeSjQZ5bssIUggmgAQTIGuuMc1qraCBEoxKq+cX5iSqCsTYvnM0RjDMJvQVufFNxaEDZELTB'
b'Z4GsjXQzUZfWni4oGkPpGAAUjQSNvkBI0WCj5sq+7voctG8P6Iul3ahdHqZuznSTJF5JGEcj'
b'rv3+Xi0ASEARc6EqavTOX3qRXbGyWKg168XjjojYBwMt/X8bgq/RuwIQBNT0plmySjFiMiH3'
b'oBhKFxsQm9Tp6lq8KyIqgghRw0Bg4rmsbUKMztLS4eM0X6POoTXqdBXGt+PQCYTKbYQxgjIH'
b'RTBIAOpBSVGUNKqFFRphImsEIHBVNgzq4oIlI2CyfARKIQS0FAQsoyRvHEMghGAMOkOkAArM'
b'rMYBACKJpI0q4dS4WetSJdByTCfftlgns0a0L6m7omhhRElhGevZz6ulrchB2iY6jgli45UK'
b'oknCURBpxdour4Ou0iXHiZeaTHGriSJ02sSW4iWKApCixkQ0hkARlKomIFGMUW9NFgiiKgFV'
b'BEBYjYlGAFBRIAOJmUpUSZHy4YA5GEBLRjlgzOYS85YiSsp3mxrCHEwgIQIAZo57Z2wmqAKQ'
b'gKLJRYHIqGru7MXp2dGLlz/62f7de7c2nr7ywRf5ZAEDxAAYaqkK1FCXYrKT16/zd+7u3X9Q'
b'DDIhtD7MvQ8huBjeSpnb3DY7+1JsKnPu6Je//gy42b99b3uyNdoYDkZ52dSvXr3cGo82NjYy'
b'ohA8GlTgioNFa9AiIoIGVVVwYA/uvGMoZ22MoajhCEiCgIlGT60zs/Nz9k08gdPcjrSnSNyz'
b'4gCAKotiEOfQjAbj23v7z148Hw4GEAIR1aE2xnhfA4CESAgO3vu8GDpCIOerOnCjIs4My7I8'
b'Ojoqy/Lg4CDPLBFMp9Pbt2+flxfz6SKGbpNxMVlGEwQAkBARA7MFEC9umGVEw+Gorr2IGJtV'
b'zZlI4uMiZ7c3JxwakxfkMiLLjfe+DiHMqtl4tBnzdQAgtnsUIQoztZJnOx/4TV2A1iBvVzCa'
b'Vm+6mS5Ty/+bKtr7+8/5mLdSWHblygFSAGFP1ghrEHXO1b569uo1of704bsKKSB4c2h//vFH'
b'Xzx+9uzoSCn6AUb5RK0lBhQJRJZFj0/OiEhBxJjai1HY3Nz88nefKwIZO53ODw7uEdlnzw6f'
b'vHhZq4LLgjAoWGslsAQGcucXsy++fPrhh/e/+D3P53MRn2XZvXv3dna3zmfV4tVx04TBeOQD'
b'EyH7YK0LAp6DMcYSOICdUf7+vd2Ri647wAQM8Pjl9NnRuaeizS3WR5CC2ilOpK9EQYxhbZ0G'
b'KOnz06/KItJXJ68Z67uuv2xubkFBUlFHc/qVA31ZWZWOjSQQ4tpPq3f3OaSX6rQ+GFZVRKPJ'
b'8ekKr7Pryg+fk10NdMnkGnvj5iywS2CHS9UFLq3hVwRv9O56m21HOhEndhYlZZ+jBPiCQggc'
b'QshMBiYZ3FSVVCXZYtgAWiKLifu86wFnrLEuz/PhIDM2qS1FGs8BOFirBm1uDRlDAKRGUNBg'
b'E3hjnBuqQwgGDAECsss0Hw5NXkiog7KqknVFPsxdlhlLZDAqqDGZIgANkqXQAIsiKBv2frFY'
b'4Pk5GItgom0CADreoRAaEUZEIrJEGgPREhhOWIpjNjnFiKeUMCo/tA0pfoshWCt/kEpurrYv'
b'Ft683BQA5Or2rF95jW9J96Bu91i7RVq//yW3kkgHfLXn/xPvWhEVtD86KiJdSubumngXt/BH'
b'28BuAJDW9Y4AOInx2D0lNldRUIzGzEpx8iMAEFpnyAmm8FZVw9BCeBWMRNLUVtVr/Bqkji+w'
b'VAQkn5++sj+pM6FzhllxmFlxLVPVGOLZF7oMYLjK5onR6Sl+JoL135c2h1S5YD+xcVcD9u0D'
b'ffbP1kU3STXYl9m69q88ESiFCKdpA4BoYoavKCZRm/3TQJoVmCLgKU2XrlveaOdfKnei7csA'
b'Pvr6q/vv/+jO7sRyA4zsBdDF9JLGmPHmSEbbC8prkVlVTba2F76xjkJVoiFy1qjz4r0zkg0W'
b'lI1HW47QX0BpBn/7Pz/94M6dv/m//9Pe/t6iLId5lpnt+WLanPrRaIDWIKBELaCiBo9AIp5I'
b'o+Z6Z/fWYDCqgzI3AAAgHVlFO6ekqipfNy7PlBmSCR+ttSn7qmi35DuWqsjb8/D+e48fP65n'
b'i/FgWDcLEGEJEoIqsw8AQDoPIQyHw6ihj6GARFTOZ8fHx3VZEsD0/GJjOBrmxfn5+cXFLJbb'
b'dw7QkPceLSGioCCapqmyrEAi7733PsuyzLrBcHx+di4M5CyQCUGY2WVZZuxkMskzK01zenxE'
b'gOxDOZuidbPZbDTciANNSC2qUeym7qoK7GoBYO2QvvzruqL5amjyv1t5kxfsuuLmlbaCIK/6'
b'6Q9QMDKsYRs1ip4VwMzr8OjZoTXZB+/uGyACMAjbI/rFx+8OMnr86rQKLIbIUBMCGTRooyhh'
b'CEPwHNS53CAFYDKm8bq1c/ts/jQIfPn42a2dXe/5+PgkYO7ZgxACGQh+UVsyZJ0PwID+7AIf'
b'v/z4x+/VlYqIs1QU+Omvv/zw4w82N8YX01lVVdblqgqkQQMQOgLkxqIcbI/fv7dpAVAguTYg'
b'PHk5e/bqpAGnsKTaaLdgSKQOiZNHSHUZ9yPdQCSPAVBFjIBekhf9pUFZQw/fa+Daxbm+9NLM'
b'iScKGEQEXD1L+i/Vlj5bBapBhJQAUqyqAvLyifH4QdSlW+2y2W8uFayWdZC9RlSBiP0krxHX'
b'xCgTBEDCNXoebQ247Xa1ZCXCSx7Y/eMfv5tE6y0Ltm672KpPUvSkNWoJ0qELiBiVgfEc6TLs'
b'EKU4YSUxBjNni9wOR5lFYlbvfTVvKl8xc5YV48Ewz3MySNYoY9NovQjzRc2sZVmKhPFoZLLM'
b'uQxAqqAk3nuuq8ACZFxW5C7PrDMtWlBERENoTfTwESFVISJrswgdfNP4qq6z0hJpECRoGl83'
b'wXMI0qHN9OKqLcOIppDooElIkqTCbsFWL2Wyfpf25O0Ojna6XmtP1nWDLakmQ9xqDcvPnZZ3'
b'rW1rCBUuwcer9S/9nSGif4VOx99W0mK7ZHLUqK7v4D8zqzC2Ud2dNreP9bvSAsrll6ENM10K'
b'AJoUwNCT09raBAUVki0trSkURJN+j5MBMUYlqnbCMhCRcy5+iFlNlqw4gL1ojM40itHNEqNm'
b'tycXSZ+lUbQ3BEny73dsv0AbwL9W4dpgXR6m1B7sty1K9NG1Bjquxv4tV9bWtXZNsFn+2sYA'
b'AEAXZN8ZDQAUUETCMpKpvbGbz/0KYwxABK/99l++Mpq/MfpXRmyQ4LLgkoZOEdtQZExpzl88'
b'eepY9vLBIITzMgDGCB8ymFXeC0q2u20GG5sxfRWLqFJQ8JyPxsONrfLVVNUJOMiKfGNSKvhA'
b'w9HewYd/+vqrf/r88bfmb//fv/6P/+Hg4AAA3DAnR3VTzmfToshcnllnQVFYUNAYIIdNUyMo'
b'K+/d2hltDBevzowlYEkvCMSEKGIAAG1VltPpdMtthxAUSSWp5DTmDxZNZuJk0SR1Nk7LnZ2t'
b'yWRydnY2GBUx2ylzSNNAREGqOqjA+fn5ZDJRgbqqBoOB9/Xh4XHMnm6MWUwvMsLRYHh6fDKf'
b'XsznU+OoCfViMRtl5H3tQ7DWRiNQE+qiKC7Oz2cX04cP7wOZ7b1bhyev87wYDEdABghVcDGf'
b'G6KXL54d7N9RFmstItZ1rSKhKsuyjPMuSiNrc1LaXQ5aleUbWQD+vbx1uUKmv7HcsE99569X'
b'3kEGAnNUEDCDRUs2q7n58vGzIPrxgzsRVRmAIcEnH9wbjjYevXx1MZsCElHUIWkEwtF6Bu3U'
b'QcSg8rvff/HzTz5mwC+/+TqwVLUHQVEUVLKOVTNLFHBva2s4hKIoyso3AkR0eHxycXExKgpQ'
b'RsQHDx48fPgQAabTWaQlVEUgCOIJyBlE4XHm7h8c3NrEyOkT8Ykg/P7Rq6PzRRkUMyPCSnFR'
b'd0d5ctnuH92tpunSVo6ioCusndfA/ZuHZrlft8GX0EMJ8VDsX9x9puRBjr1blunl1x8aXZq6'
b'kqC2jTIAIkaVXisIXXF+wDXY5YY3feuiPeVc/4S+4r1UryP+6wauX26AXz9EKdE2cjlP+mg4'
b'pgUwPR6F2OXUet92XvV9v2Rj0DpyZACAOSwW1cnr4+nsnJnzbOC3tze3JkPMELGs/enJ9Pjk'
b'fFHVqBBCg8BNvbmxsZVlWd00zGxtJhLm8zIENsZFUoi1yUYUyR6iTzwBaBQvCY21NsaiAUAI'
b'IQKOmBpr6fImGAl/sLdeonZZRCSyCCZGRxARBpWWBOYNkf3ltXPdT29d2snwNu25/H1Xz1q1'
b'2qrGtLdv9FEjpPBN7QHN3mXa+xGWdD3KgBSFTFGGzoF+Dd3qEuUvv+zj+/RZFFoBQHpzW1UB'
b'hFoBBVtlNiICKpFBWSoEmbksSxEBSljZoHUuU42UwXFyoAh22sJOAFgbiCvRatuZ2O/bfk9G'
b'd/D+VI9CeL83uvqJSATpRjLgbq+GZHlIlRBR10Ow3Ad6jb+kEl3dvftXYidSxy+b4KWNvtOk'
b'r0mUNe0QpA99Zc2yixDyPIcuAACXvYTJDrNq2iJcco63M3CtTpGlTkkQDNHhyxeL2Wy0eev+'
b'u+/8r1//BjNSY5DIGaqaxfTo5WC8a9EMxqPRcEMVUF1GlBW2mAyRm0chlHU1unVHism8Ycxx'
b'YzLGajEa7Jbbt8Li7H999vnpxel7776TZdnO3u6t/YPReDAajzk00+k5IuaDjSwvDBkOjWJA'
b'xMZX1uVq3DsP7j99+m2BNvJjo2CkiMPWmS6EMDu/2NjYYGbF5TKJ5yb2plPsEONyaXPxPnz4'
b'8Je//P/OT8+G4xEaDJy4DaKWy/tARIvFTEQmk4kqz2YXZVlGwdgYE0IgxNlsNh5tImJZllFC'
b'Xixm+TBHHYe6EQThTDQyPvuqqs5OTl+9enX/3jsfffTje/Lu148fvTw8IpMjGEMuzoT59GIx'
b'w+fffntyfPT68KX3tbN5XZasGqPJoPUPhNZGlGbyqrIPEVdOryuWRRsJsLabX97c33Bv/TdS'
b'kgh85W/f603/UAfYpXJJ8xofd6lpgTl6N6KqI6uqgRXJVuwfPXtR1/UnHz0gheigbwHeO9jc'
b'moy/evzoxatXaK2xrhFFYxSIBUxUIMdYHFTmMG/4H//ps09+9hOFd5+/OqpDIDSIhAjGGhUf'
b'fL0zHHzw8O6jxy8+/viDX/76t5R2Gambpq5rY4gUPv/dF9t7exfnMx9i7KdaZwTAOkUOlnV/'
b'Z/LOre1hBi5pS4AIA8BnX786upgxGjUmeE9EIAzRF6Fl6O/+opICS98trdNprqjTeGVnXDHC'
b'9nv+pmiWhNr7ad51OXmwNfp29aQzw6y4/SgAgoF4yvRq7g+6YOQUX6bDjbWoKqoBUIIlZXe8'
b'TFc3Avh+E/VG15qeIj4lCUjsPRrzOACC9HBP9wpdScAF1yoDAW6lpu/wLVm56UYa3ythhy4V'
b'3+0p3uuoPiKJxwajmlajeRkaGmOIhIiYSVUJhFQUWBiaqp5dnJ8eH52cvFYW55yEYK11zijy'
b'+cXi+csXz549897H3PYgYXo+2dq5k7mBADZNU+RDQ7KYzkLTGIP5IIsBwYKCtBLIGIE+B5Py'
b'QQgCgEHKnc2si7lpGFRVg+cQgufkUy2QEt8AGSIbQ901JM93AARRifwhqknUXqXb+77l8uT8'
b'geXyacWqkVYMW8y05t3Rv7d/eweL1y5b+WYZGdyFSazy/PSE2HRIazRPxi5kAAAWbKUsFUFI'
b'VqZWf7GC7LXl9W97fsnw072CiLRpCUWXcQudJRDT39jm1DqBFYSdcn9HIaOs5gqJGSm227o8'
b'mVETxQ1KJKBKEoAQmsS4oNSNcoSqXTciolFATeRrXb/1oW1X+j3ffamr6xo1ab65h7y76/Xy'
b'8AEAQOReVMXodxFd6mMoPGry2I71adfVnfiHK3UuR6F9ozS32yy23bzqGpY6BAVbWrJWQU+i'
b'AXAZZBUxJRiKsS9d+9fWTgSOiKjKCgDac8W8dFfy9gJRJFSazapHTx9/9PPb775//1dffIEu'
b'yzcmVfk6YzbC5eE3vuZ898Devze6c2BdXntGV3g07PPi4P19GtU+zBG9KwLbgbV1PXcy//GH'
b'H50U4UvxRyyPnr989vyJqmyOxrdv729tbd27/86DB++ON8b1oqzOp8FW+WAE1hhHoMpBg0Mh'
b'M7l1yw4GACySzpkoZ0nL20FoLi6mu41XAcFIGEoS2JDpjlRVlWgQIxKR2jcuz0Tl1t7OaDic'
b'Xly4zIBzygyoLNG9Hpg9YoYKi+mFRUCC+XzeNE1mnaiCinCw1jVVVZEB5dn0/P3333d59pvf'
b'/IYPvc3MxsYGWVNWtSvy6UVtjOEgBDIeFi9ePiOihw/f/+u//usnT56Mx5uD0VCiIaKRwP78'
b'9Ozw8OX56fFgkO/v708vzpg5BB4MBlHPb4zRJAFSOyUj25l2Z+KKAPC9yveF+/97iQf/auUt'
b'DkVEI8IAhgAQU+ClCoJxC/Yvj0/LX9d/+pOPRhYAQEQs0u6Qtn7y/rNb2188enKxqKxzgRlN'
b'igwAJEqhcmqMYwme5dNPP/3kk0/q4F+8fBUCZ1khCk1dkjGIYK0NCtPZfO8ABMEYwz4Y46q6'
b'tNaCYFAV1mfPX1qbMWhmLauoCKFC02wMi/u39/a3cqOAAkjADEJQB/jsq2fTqmnQCgISqXjR'
b'6OYe08tEZcbK33gwL4kmZQ0E9w3i6cvuEHrDabyO8le/7x9U7QU9T/dLqqOlQu6q0mMqjIcK'
b'RXpNQAOwFGOS9KKrF186pf4lSysA4OUvu8+XcNYbNxI7zdpNDbj5AkyeP4pECCvoQQUjfBKR'
b'NupveRciRhLeGCoa7QDRKGyMAyBhSKwsTVMt5tV8qqq+MYvZsKkm3g8YaTqdHx+fzi6mqOws'
b'oXDw1VzEUp7ltWedLebjfJTlVJVzVDbWRDcMIursTksBwObGWDaWVFkRlmpoRVJnyDkHik3k'
b'AAkSPIuAMUkfGTwDCVFgDcIgAgmvAqjGDEKCK2YtiLDpTcfrqtF563uhXa03rNnLEt2Vpb9A'
b'1iWBS9ekMIjVn6IPekvW0opJq0JObzQUes4/yQWII5EOxF2jA/fSi/3tApGjANDfxHSp+8dO'
b'MGtjuFdIcru2RRVqHx+jCmpShiOiqFZVxcxqDAIoGtCQZRlQ56nCLMjMUVMf1Rih6/neBtuN'
b'hV5S+XfdHtvZv6Dd0JSZMcFZVDXUkVv2Xh96WvkrB3dtSlz5uS+BXFdJT/mBa5vXGsSPH0II'
b'UUuQQL9EJYJZjShrE6Vhp0IyihydX6ML0BVS0CXNDrbkof0ru4/aaothSUANiIAgmeijbx9/'
b'8Mlfbm2Nxxsbc0Y33KxdxvXFMC+MQHV6cl6Gs3rx9NXRZLKF1m3e2s+tG+cDNfnwluWyylRA'
b'cJwPrCUN5fZkZ2tvT32D375wyLxTpAAAIABJREFUdV2HWvzUSDObXzRP6hfPn339zRe/u3Pn'
b'4O7+e/cf7Iy3ysV0Vi1GmxsmGFH47LPfbkwmf/nnf3777l3rHDdCSJC0/8k1AFsDznw+r6rK'
b'OgdtwImqtgl6sZtIAKCKQXiQZ8zsnONgDg4OPv/882KWbWxsxAEkTYw9zGyMhuCtcfPFjJOm'
b'VUMIRBRFu+jidXFx0TSN9/6dd94B0K+KPAR+8vWjcl6996P3s3zQlJUCVfPFIC/OTk6YxTn3'
b'5PmTl0evbu/efvDgvSzLBuNBOZsL+/nF4vDFi1cvXgZuNjZGRVE4S2U1Pzs7G43GRZZ35qMk'
b'xolo5DJaLfHF7eVJfLl0K/KH4HhsdSf/4kjj30BZW6U3XnuT/rXPxNLWhyIpA7OwJ7LGEGtK'
b'yjgPQeazX/7jr3/68Y92N4aWyChbQAv0YG97f2v78YvDxy9eLgIHCZGJRWM+XhGIajOTLZqm'
b'IPz660fvvffg8OURZSaEAMY6YxUBlKYX82cvXt97+MGjp69EIHCNYJg5ywfGGO+ZDAUBJNNw'
b'QMTQVABABkd5du/2/t3bY4uACjYhcVALr6f6u0fflqKsRgFUWKRGRFVamnK/q7cBpZcCqAXf'
b'vU5uMeiSYwSvWUj9fQR728qahgkxbffxCowBW12gWHw76ssG6eS/dsQhNjdKCaCqFPMAYHTO'
b'TszTK3DnUpLdNyzX3XVlIO8NtyTLQPxLKHrFgGnPDtCvv+0W6Viblsf8ai8JAOJNbVsrvdFf'
b'+dIYihkqe3C61Xq2TIVC/eFCipayNnFsDAYAAOccGsdqaq8s3AQOoQENlgRUrCFCEQlN0yiD'
b'bwKpLSBzhjZHhUqzKBEA/HwKLA031XyWaW0wl2aBEAw507ErRniXXMIMEUV5CBEDAwCrUgge'
b'q0VdFn4wkkEM0zRWpDZWCcFQ9CNTRWFlZggBETmhTxSN/mUS6Q5FhaIrKyLE/UH0unjZH16u'
b'nFctEup2SLzSRrdcC2BASRA615T23pvYsbUN+XjD0zBNUey1sK9c0MS3n8ar56wvLacniEJK'
b'Y4BxkbfVpshdSWzi2skGXQ0RWQqn6yO6j1haW2fH+IIqKdA4XtGtBFJRtJoYQokh2R+qqvLe'
b'q3NpHwNyLieyQcQaXDqJiQCZdHRgJNtRAEZChGWOght6r795AiRHR1UGSM5p0bUHu5BHWMoJ'
b'XYd0Q7UERq2UtNyre1JZ1IJ31KIAENM7tu3X65qthB1v2/okIUTpO1ZhCJ2hprWxqAKoRAbq'
b'q+ZhZ08BAFXMsiyqGLq+6l6nfyR1L0g9M0HbNoNEKkvrZZTiAABBDDIhP3nyhIPfnUx2dreO'
b'Xs6sG+fFRlPPWZRsNjADN9yQ7T23uVUUIxY5Pz8vXLaxba0xWriCAGs/AHSZbTioda9Op//l'
b'b/+nNTgrJnSLqJr712xULAlyA0rNnL/94qvHX/z+q1ufP3z48M69O5s726cX5fxs9sUXX332'
b'+Rf/z3/+z3Vd7uztbG5uvj58KSmFEQKAEKpwSgsgUlVVWZYbLvrPpORrCYtGFU8UklVVBUGt'
b'yyNnqAru7+9/+82j6XSeZZnLs05yZWYvisIcgqpGMSxOD0BsggdRIgqiAFCXVVVVu7u729vb'
b's9lsoxgR0dnZ2dGzF8S6fXtvY7LpsiIbFPWinJ2dZllRLRY2c3Vd/t3f/R0R/c3f/M2Dd+99'
b'9eWXj588e/b48fnx6zzPJxtj46wq+yBZlimLCDjnoLfJRENWhBmdP7D0BKHvtgDoD8P9/+bK'
b'lVL+WnkDmH5FnW9Yvm/lNz9UGDKXM3thISKFEAKQNaoKRAZNFXwI9d9/+tnD+/c+fvfAoIk2'
b'aALIET56d//u7VtPXx49OXy5aLxXSBsgJm91ZbFkAMSS2Ryb3e3JydkshtGoAqICi1r7+OnT'
b'py9fe2FFibuYqrKCb7wlIyIGCZWtqkUlkCJz9w72b+9sjLPOXgUsAAQ1w5PD0yeHJw1SUALC'
b'6IqM7YH6nX2XLsFoK1j6mrfHxzLDZacjuTxGa990nIDdrxg5/lavj4doWn7YVb2sbY2i+PKz'
b'1v7bP7TSrz07wBVd0SrRoyh+ZW/hqsDw1rOxf2P/84rIdNWN3Tt2AlT75bJV/f/2D3gASP5d'
b'+B3+P1eW7n27/jTGkLXIiGCWwlvLwMhp6FMmyigLEERPzKVjQysAZN6HuvFIEJq6WizKsgzc'
b'gAZlT5YIJCavAfLMPMhzO9nJVLY2i6qek58H0BC8AYZQZ6TDwuXO1KUoA4JxNk+t4kTECTEG'
b'AK21zrqcuYkLM1ok6rrUi2mRDwaDgXOOXE5EmbHOOeeciESs2Dl0A8SAIgSgqNiWpHZDVAJR'
b'RIgOKH1o9UdYLk/pFQm59+HyK3QCwDW1reQLW7smhl32kdkaPuujf5GYcRxABDD68krryBFx'
b'yFLBD7CSeU3bdLztRF0CXLlsc0i3LL/umXIE0WIPs3biR6SKguGQFckgClqbEVrpp+4STKHA'
b'0O59rasVESEsHYGuBOJr2+DKLo2pElXFlBEMI7hpecm7dQr9avv9z72Eg/0LuttVlzaTZAxc'
b'tQj1tqZlg5ctbz2Flg9tI3ERUVvtbF84uTyjup5B7Pv4QFRD2MxF/UL3ptAPIVi1XKkqi/RH'
b'oevY/mWJqkE1ci6joZPXx8evju7evXd3/9bXZyE0jahFygSIjKXBUPPcDjaKyfZkMFblWprN'
b'jZEDyiwaa42jYeZ8kIBi8syHMBU9nJexA7PBZOO9j8thUT79xoWLggSEIwcrGXdydvH6H//h'
b'1vOdW/v75Xz64tsXEnRzODo9OVYV59zO7tbh8ycAQACopAABow1LoscCM9d1PU5cqhpS3C11'
b'ywQBum4xxtTBOzIhBAAYjzb39va++eabajRARCCIcyZmz4he/lEAQMSUGi+RfCAzq6Yrm6b5'
b'4IMPsiwrXDYej0HQD4LOZq8OD8u6+tHgw8zmdV3V84X6kI2MSghBFWk4yF+/fv3L//7fvvj9'
b'5KOPPnry+NHp0avRoBgOckJN9IzMxWCwmM2j8QFb0beDMTHj2NqGvCIAXN7++kVXbXM3lO/c'
b'9Ls1869XvoMisNf+a3HPm0MiXPreventV/76vUBYm8Ar7ZFR5EUTuY8VMfIbEAIEEULLCJ79'
b'V09fHJ+df/Kj9zeLzBIQgCUAha2cJg/23zu49ezo6OnLw4tFxUiCTkUAyICiSuHMj96//+3X'
b'Lz58/71fffa7RVUn4iERQAzMasirIFFUSkaNlomaLwmO0GhQ4Yx0Mh7dvX1rd2ezsEgKJEnn'
b'JQSB4PVUvn358vRintJaKatyPN1IEXXJZHd5INY7s3Xt6fdyt39fpwXsI1Dob7IrKp/2kMNW'
b'x9+vRFM+Yum+6V/Q889rv1nFEwpwLa8uAkBMxnuVR/PKXV2T+0LLGvaF6ycerZxF17TmKpv7'
b'2kGrN97SXd+2s2VVT26yN/l49F7z6n3pur2uu16TUsdZa3FpIkjKNkEQjqwyEbqhaalOiBQS'
b'tyzHlS8i1joRYYH5fGEtAWpd1957UnEGm8DOGSIKIWDToCVCHA0KYZHFLMxn3MylKpWACMNi'
b'Zg3ZYrA5njjnyrIscnW2QHII1nsWiFGMiEjCStaRcWQzRIOGgONhICLKvp7OLlwxMDYDIDSE'
b'qJmxjgwTAmC0HgQVDQGUWKO21WjL6JKcYhWMQVUmIlGVEBRY9e1dgG4u+AZyqfZcvLQ3bdbG'
b'/bp61mZCxAeqaoyJKeHiZTHIe3kxQBcK0oFsRATQdtJC1MEnfWGvRL1jcrqKLkCBlSXSuPVW'
b'Qbc2u0iApS5fUrbTCPqjRh94GQQEUUmS5FUwa9BXBckYAoyJRESl09yzxtwOKKJkTHQBwtbA'
b'KAo2KwaDgS8NkFi0UQaJjQFVQIy5e+NbeO8tAQKoBCICJO2xlAKAia7cQCLRzygRHiRbU1Lz'
b'a5xvRMTcirvGai/FGLT7tnai7CVfoyVwb7eUdvlrl02vmznL3rsqNKjTHHWzoqutewoRARCi'
b'aZoGemra/txTVTKksswwg5FrC5b1iLBzTgm7pMidzN+XWzp8DwBeFBQskqoGbn1FAnet7d4L'
b'RRnYOGqCNk15fPjywcHBwe6E5fFwYzB/ZRsmiyYwZi7XvGgaGVsXkBGDRdkaF1yVKjAociK1'
b'eT6vKramEQ2Ig/FIwDiXj7Jho/504Uabm5Pd28ef/7o+P3bA4AqbZeON4fnpEYI+efbs5cuX'
b'GeH2cGOyuyVEs7PjxfRiZ3fr4f13P/37/wEmsuQQIApBI+wM5lk+Go0mk8nm5iYzgyFjTNyx'
b'vXCaY/0CIEAigsZKS1539+7dFy9eTKdTIsoHRcQXXAcBFVIgAgWBmFzcI5KwgKIABBZQres6'
b'eMnywa3bd+rab2xMJpPtxazc3NzynsE30/OLZ8+e7e/vF0URQkOt02WcB0VuQ7UIvvr6q8Pf'
b'ff4b5LA92UQQFEbrFCCoBBZSOL+Y/dmffeicY+bII4yIITABSvAxfgASj1ZckQRvzQL0nefu'
b'v5e3K9edRm9y4PVvv2p0OnW0AJAwE9kUYIooKJWXs2n133/1T/fvHDy4dzDKwMRgIwUQGRr6'
b'8N7++/f2j2fVi6PXr07OyqrxHCj6vCobhHIxN4B54c4XCyRISa0AJLGMsSoYIpA0vxEhspMY'
b'gI1Bdmt7d//23ubQGoSlWzWmf4sGvnl+9PzkrFYAjFm1OraLePoSRBP59dLdzX3YHatXft99'
b'WlPqQPrGRPfNlcetqfd7FTD8YVZQ70xa+QByM+nFv1BZ6/DvJcdeWQgEW/eEN9FK9EfqDbUY'
b'axfFKWYopc9cinnaZlbuJf8mBQYBgORzGXNMCnXHcAhMRKwiIaiqQbDGNApZlhnjrM0AoGka'
b'B1RkmZOMQ3V+UZ4tzpp65kOFRGKCNHawsVm4wSAbmCwfDiaBwWY5mpxZg2duNfdxPhhjyFnj'
b'MuOsKLGaJdGHhKYqy9nUOacsxmWqCqhksIMySQwTVBVs3QN6oAJjDLqICkh0Uv9O147vW/5Q'
b'J04fil3+ae0DXGMrePNX68FuBWjzA16SLvrVqqoqp1Dd1JMCQEgrIearuGUtJnilkf3L4vst'
b'H9d7KAAkEsjk1dVdvqoUSItIo16zf+IYY8hlqqrACKKqIaUYW3boypxsnXZEBFYtb9DrorUO'
b'b/8v7ZpK7O/d9dKCaWozXXW2EcQURBFhffxfvzuvG8e1nserdB56KWapP5Gum13xqbFLY5NI'
b'eyfb0jUIoh1myWoNAACde+Fa13XHQe8nVNXIGikiIYS+uNUfx/aJCgBNYAWsFvPHX3/1V7/4'
b'xc5kPCDlppxMJoenL2NVZE0ABWdYQMhkBE1ZqQ/jwVB9o0GGmWuakOdWrPV1pco2y8bjrMhH'
b'8+k0EHA2wnE+GIyHC18+eVSXF7PG//xnP+F6fnJx7iQYIFBjTZ5lAyAKomdHx89fvtjZ2bm1'
b'f2djshXYIxBFBE9ggR2ZLHNZllVVVR4e7u7tmcyJSMyLYqLA2ZM5lZIwQNYiIhojwsaYnZ2d'
b'W7duPX76uCiKPM9NK1xFW7D3vi87dctEVYnIN40xplzUDx48yLKMmdG4jz/+yd//8n8AwNbW'
b'1un5WWj45Oi1MWZve8d775xDQ3VdGwJLRCoIEurKoAYOg8wRggQ1johSKA4AnZyc3Hv3nR//'
b'+Kfdsu4akyx+CJ09sJ0eqm/iAvTmRVX/lZX7f0ylv+DXdpY3RPPfq6xV2FvPSecEyb0k4hIE'
b'QECDkcWEyJJhBS8aBL56fvTqdHpv//a7B1sZgVUgQzFDkhG4NSp2x+/49945n5an08Xp+cX5'
b'+ZS5efTo0cHBwbfPnp6cnqM1rL0Mr8kmKwiAvrEJRmmRu83xaG9rMtkYj0eZAYg5OVXjLQgI'
b'niEAPDs6e/LisAzKaFgY0ChF2l4FSUBMl6p0VLxOz3c110frFxrn8DIXb1t6LD2I0PI8ruzv'
b'YABljas+/rwSpwtRnukcgNahBvarXQ0ovKGsov8UAX2p0FpY8FvOwRRo8t0XXj6Q2h+Wn1sm'
b'6qtrINCUJPbSBevZtm9o7019GN2Eegg+tTAiaIw6/i4j2xL9t+/Vlf6JixjzOaRYscCiPWZ8'
b'67DxrY4HwBiTZQUROJvbrMgHw6CCqMJ1VV5U8+PT6Yv5+YlwBRjQENJIsFCELB8K2MzmrhgZ'
b'78lZ4yxaA0Aa02VqdNshQ9aazFqLxpJxqZGKhKTKja/msyki+pHPXEFEMeU2JYNGogMHQhU1'
b'UeMbXX9UVaPKNIo6KiCI0Vs6/POp/6G1wABcERa+PtlWf4JL20IqRLqMNlmJBFg73W9o0trn'
b'lekRXZR1mXNQouYblrrbdGnyP24jAJgjM0HkeUn1t9ltO9gqbZhvZw1oH0wK0Q8H+20Thp48'
b'smw8gyR6lFbJHb9HUpC+AAAxFQCrRDUqADiXRVbKbnREhDkGRtNyk+0e16cjixlXehabfsPS'
b'fpuaEtMpr0ti2DVu6TAT+1n6D+06Blp5ZnUmoAoirbAr96eTwArMj5hHVRmW6a7fRCsRHx3d'
b'tAyR4spMVlWUyNkCnQUDEQGEYJnIBQCcc1mW9XekGAQtvZ7sP1clIkIV1sjz1R5ES05VanUg'
b'MSsYC+QIh8+ez8rFIHc7Gb46OR0MMrQAuhAWEA4hDPK8Ebasw2JshYpsOHSZZ1JU3wRQIoOq'
b'SIzM2tRcXzRnzYUtco9qXM7engYrt+5tb9/OlUPjd+/ePn36BStYBgJn7IaY/PW0wlkTABdV'
b'+ftvnnz0k5/v3DoYb20dH72KOFwgaFAFabQOnsrFgkWDysbm5nhQqKpBIqTWsIMiIm14vXYZ'
b'FXo9NhgMohGgqhrnSpu56DVkTczJSAgI3OaPhsQKBUqoJEFDYEN0a2+PWpPy1s7eT3/2yT/8'
b'wz8Ug8JVueHQeD87vxhkedNUJjNZZgU4J0DUzJnCWa4rIjWg49GQfahi65kFAEXLpjLG/Mmf'
b'/Hw0GjVNk6x+Lc5M6oZeCo64QyqKvqEAsCaz/kE0Mf8nlDWg/wNx/823r0n8XUmTMurIAaKy'
b'BFvlSNryUCNVCQAAQS1STWen09mzw+HDd+/e3dvMAAiBFCLGjutjb2OwszHQu7uNQFnWZVlW'
b'8wsIze5k3KjWnknBMCEiGkCLjowhHOTFKC9Go9HGaJA7jL5G2HOblYQPUQHqoEfH02+fvzwv'
b'S7KZDyxGrbW+TUIpbdQhgVHtZcXClZPjyr5a/SblBl5F0t3FbdbJLvhPCUnXnXNi9q7VQ0vw'
b'sgWgp0+6/NPKf7/fQuuBewJgUEI06zi/JUi+XH7I5PzO8ob7xs2Xfa9cX+3rrKyaN3zHdFlC'
b'Cqqq0Bec2mpVMaWXimi4zwJC1PnmMntVNYBIYKxRZUJlEPZNVZeqkmUWyJBzouRZBSBww3W1'
b'mE0X0/OyrstQgzYgNXhAw0HLJtTG5cPxlhqsfOU5mDwzxlhrCRRb20S73wMaAjJIFsgiCYgS'
b'oSgioXKoqgUAeO9dkRvjIBqhOVhrDYIzZIxDMhEcQIQXLWsltB0RJXeB0GFXBf4O0tg/mtKi'
b'w5XvAAB6xFyX9/MVFQCuz7TVEiuD5Yy66kqJYa1tJEAEiAASnTp6+4b0b4QVAUD7SLdzieye'
b'ePlN1xojCKTU8h1LT/3RkStG/5MQLQApihnAGDMohok2gUgAQJZuMIBIq8k9+h+uXJdX7gZr'
b'3/RgP3ZUXdiCrf5WjAoxjVpcmyxepMPJV+dxv7wDdzt8C6Ta3lCVnilw+cTVd+laGb+MyyQz'
b'BhCjSINtZ6qu2xNW2iAa2xxTeXTdF9+/PwF67UFoKT5jJ6SEEivpz9blKINknTUuPz8/PTk/'
b'27t3/8Gd/eePvglmYK3VuiQTJHhFIaKGxSzK2lop6/msHG7YuvLchFpCyd7mmXMu1M3F6Zlv'
b'ZGjG4/FISALooinn8zrLdHNjc280vD2ZSNXU0+PR5gYZY5kUDJkiG22GxlblvKobL/DVN0/K'
b'utmeTG7fuXt0+BIJIIaWK9polQRAJELU4OuqGg6HQSV6W8WdOU3IVc40ZQFjoh1JRKq62tnZ'
b'2draOj4+rgg33MSSUavO2CAcYX3wHiDRoyMRAYpA430MPzi4vT/MCw1ssxxEQgj333t4dHL0'
b'9ddfDwaDIMxzXy3Ki4sLAMkGRdM0wCESNxtQZ8k3FcWgGaLQMk+goWZRsshiOvuLv/iLO3fu'
b'1L4hvWL040bQ7WDdoaB/WAvAdeWPXmBIh+UbXn3lrrRSHV4BVH4g+u+Vvg77UjaAa43X8YBO'
b'4LqdJIwEpABK0moMVdU6h8YAyGlVn/z2918NBvf2b9+/e8sRZJQe36UPQ4CcYGOU+9y5vS2/'
b'lmtTUigmIqxqVdJnSk0FFkWDDAkylDUcvnr97PBV6ZWRCK2wKKEqe88KFFMZArS6Vo2SiUi0'
b'kfZis1Z7Jp5OsTfagy251Jtu2Lo9uvXhaZNzxb0+Uo6CwiVGoG677fr/ugMsnRxXD9Zblm7l'
b'92uGq7DLdfe+yZc38+pcvkUQIPldQOc0c0OdMYiQLl3TjU5/a4M1/Vwc3uvbdp2cvP6s1ZlD'
b'RKs5HMyVvdCJcIhgDLrMZJm1tcUmqGrMpmSQAgdh75tqMTurFnMHDXMTPBVuEABRCUBCE+rF'
b'wnuvULh8M2PhZsrMAAG1Ea4bbc6naE/yAM3Fomw4DE0RQwERk7dAgoyGiGz8Z4wT41FVYgQ8'
b'tO4H0tSNMvuMB4QmUtoxKOQDLpKzRDIFtAKViKIStlmnKAKPKAOIMHsQjsEGfxCzcCdOQ6t2'
b'TQMKCL20HgmOXrVFR81ui8OX1fZxfBuCDwBA0fHmkq3vcsNWrtGuVSsZf1cU8BqzGMZprKoK'
b'wlGIxFZ7L72CiCIx6KmVPjFRMcSkpC30X5M6EFoW+f7O0HLwX7FOdSnIpqQibUYcIbIooD29'
b'u6o2TdUfCyI7HA475hxERKX4WtAidRavKiZZWbVT0K8pU7r9quUBU1XF1TwqK6i3h8tFpS+z'
b'Aazn8b1qNAkxOYS3w3QFR8Ly154pILFI9eOkV1t1VUlb1GWqXOwUt1cFB8efejR3EgWAuq4x'
b'JvsEbLngQBXkUpSCJUDElCuzfYKCklnPGhtlAwEho0bMvF58e/Ry5/77796999vhGBqfoQtA'
b'qsSe8zzztXcFFs5iUyuHw8NDns8HecEKNYsA1ZUHr1ZxmLlafC4e5gtngoRyTGaECgy7mdsr'
b'bB4aATakXFjlkuuKyDbCe9uT48PFcHOSeWGVPM+ZmQjv3Tv47aeAGtPSCSkYBEVgUFBRJGfN'
b'Yjrd2po4a+JWpqKIAAZUNdGDGiQiS2AACJHIqAKIsMIgL+7s3zo/P2VmDSwijW9MBoAp6IJ9'
b'iH8lSlZIIMJNDRwyQ3f2b1mD1qAlY8mgMhH84he/mE6nh69ejEeDpi7rup5fnA9GQw08ny6A'
b'UBiKLMMQ4sQLjbfWNlXThMCqnplUOeh0Onvw7sP33/+g3fRW0H83mt2igN4E+0ECgPY9+/7d'
b'MtArb33mvQVEu6H0sE5ixrwEV1mBsFWlgyqisQ4b7+MiERVEc16H+bfPv3nyfH93587+3tZ4'
b'UFiItNYYLeoKAOAMAYhDUIi0ddHUADE9NwB0hvXeudgKJghgMAAsApyczg6PT07PL2rPCqgm'
b'A0RAAzHwLobcAURW0s6yzQhGRVWxx95zWQBInD8ppU53ZQIQl+U2TKLCcitXIuwpVG5GBvD9'
b'R61/7w8suFT+01soYv9A8urblDdZQb2j+rtXzZvvTthKZp3rCxpjjUFRbHVm3ZWYaBNVBdDE'
b'KSEAYIiYxQCuEXQgoiozs6/K+fR8MZ9JqBopy2ohaO1wg5Fy57LMLUS85xDY2GI4Nnk+KMui'
b'XpDIQgM7CQyhWkxn02N0phE1LnPOWUdEaIg0bfFgTDDk0DbWZS4rfCgAxANgYOiyWsZ5GnwA'
b'oIYAwLN0yNh7zz5wxoQWYk6ZpFXrMDdEKzoQqyqjhNBE7osVifSf6XTQ68S92LaVcdfWknPd'
b'nLm0Y9yk74erXkp7bv3Lhy5n6fJ41v5R3V7ThU9onCgtkw+1RI3YsgB19ybKV13GevaXRl8A'
b'gFb8uNy8fjtVSWKmqHbfXrmmffHoAiQiQEYJo0NeURREBCIAJmpDNWniEVXJkEFaa/9lLfvq'
b'WCzfMb07aB/BdNts5+ivnbwKgIghNL6qIQWvIyJyLwbgykdfWfqPu7rB7RrHS+r/1dKaQRDi'
b'AEMUYkG7XRplCeC6raPXLcuqowtQXdewOkW73uu3H7oYZV3xuuxGpD91VRUJ0AJLY8QiwONv'
b'v/nJz/98e2szN7bmJgTWoArBl/NiIvV8Op6MN8kMLKHJj14cn1UzPxyKYpbZzTy3BBY9ZlCw'
b'Tn1pmllTzZ2VvYEzNlOUosiGrhr400KLcrHYHWa1uod3by9ev0KkxpjdzWLsbh8fvbr3zv7t'
b'27eD+OePvwpbmxblvXfvIqIYZGauGvGh4aYJXsVUPiBAXVXiAxGxsJjo3ojasoJaay1S9Oox'
b'RCBKBKFhkWCM8aHe3d0dDgYx1VdRFJvOdQQ71rnhYGCsjRYA55y1Ns9z0mSf2d3dbU15kFkC'
b'Dr6uR6PBX/75L/7rfz2py2pgM/VNqBvOMk+ND4KIUvuSCABCCAaJRVR1Pp+zigL4skTEpvLj'
b'8fgXP/9TApTAa6QC15X+6vuhFgBtdQnXrYu1+fpHWNb2639TZTnencftEqqml6J4RraXJsMu'
b'IgqoKkscICICi4jMTZ5ZZmb21maIGEJgkAD0+Oj1t0cvR3m2O5nc2t3ZnmwWDgiAEAxACGIt'
b'iQZCTZyIStDFnQMAkiojgoooEGKyFQSFstbj84vjk9Pj85kPokQsImjQkIoKiyTdD6Fi5LRO'
b'L6sAypGQJCAAoG05vdcVMP2vI/SPXnGEAEARRqwS5He3pzQ8yQiAoD198HdNHGzp6tfqXBlF'
b'BYAVjdf11a3j+ChO3XCrN9O5AAAgAElEQVQXrtqjOmx9w9F7fV1Rg3jtj2vAfaVVigB4nd92'
b'v7S6/6vbtgqnVr688vIr67nhFO+f8R0IplbF193bAS0RaZ07lZA6DS+0poPoliMxCxgSiipz'
b'8L4uS1CPJL6pQqjQDYQQnaHMZYMBh1AUQ0bnyCCAqk7P3YVoqG1Tz4EBjaKwSODQEGWZtSiq'
b'LKgakySodA0AY0xk9syzgjRmGwoSGDGoiiorEpFBQIw4KWIuJGb2oW6axuSB0EZhfgVkdFpn'
b'ABUJzIASQmDxIuEy/niTIXjz0pOxV2SMNdD/5s/qyyqcQmKvnaxrO23qhqgUacWS3k/dF93c'
b'Sd2mukxGLm3+BOmIgDrymaRplkt1Jb//ZRt6T0zO+NB11HqsLbS6/7YLrsUQqhr9w6Gl8Vks'
b'FswerEEkJQSBLCuMMV6UmY1JU1dEmJMFNcrDoMuQxOh9HsXJyzD0ujHSNnSYekkcOoybBPVY'
b'm6iIGFp/8U6A749K9z30P18Sk7qdoZPoOnJnAtRL8633On3jVT9cPmYINpG/pe8khqJx+1Fa'
b'tgrapRXXNbTCni4djdJj1sB9ixMoztN2eyMfUx23gK2rRMXHD7nRV8+fAlejwWA8GVcnC5dn'
b'FseCJJkOrHfhYrjItovdsSFAGWwPRsPC11UIwfpgZs24yEKzaJpyJNVYZZKNspExAKpNgEZV'
b'yZ/nasgZZtk2RVbbnKu/+tlPFH9ERHUZrLWEA353G8kyeyKavXo8f+nV+w8e3CMizRwYS42q'
b'SABmVhGoal/5xnMYb2yAoZgCrFsIJm7RzqW9moyNbsuIAkjGKrDBbHR7n/78z1Q1y7KiGAAL'
b'EY3+f+7erVmS5DgT+9w9IrOqzqW7ZwYAAYKAkVhQXJKSnvQiM5ke9VP0A/Qr9pfoH8hkMsn0'
b'LluuuBJtufuwvIggBgPMTN/OOZWZEe6uB4/Myrqc06cHTRHaeOiukxUVERkXD79+fnXl7pzT'
b'tuuly3EXL0qi8Hhg5qrF3ZlZIAGeW4b9nU2fvXrx53/2L//yL/4NasngonW6H+tYnYmI9sUc'
b'GiJ0aKBK0aoKJggD6FNmyJ//6X++7bNZpQZsejg88z7RZY9HxNFMqYAnUIDWpPDih3nfn+71'
b'9eRG3CE+Ebn/9GVlO/5kTX68JeQJYgcAxxzkR7YWe/GQegaRyo6WW5NiKwQpVNMkHOnrAllM'
b'Vc09pVytEMCc79Xvv/rmH3716y7l3bZ/cXN9e3316uY2Je4EEYQYSnaEN+NsFHXASAAocSm6'
b'H6a37+/e3T3c3T+8f9irgTgZkUYOSWGCBJstoOrKRImztQx80uJbFu+dZtZsnDpHJktI4C4v'
b'xtRmaG4VD9liF13Txf28YnpiOM9ciqNGPvo3F8ulHXuSDPjs3/9P4YCO33R9ax5pT59z0z9W'
b'DB5syvzbdeInP9RqTw6jOr/OLzRuDWTQA3R9eU7NjNLIp5GSkVElgTqRkomRAUZOBhPiJCbC'
b'KXGfpZqkLELsquQWaI+SUwUXh+WeOOduc319fXt7u8mZrWJ6weZwLtNkxVIeN5txJB4nV4O6'
b'5bzpu51wjgiYOj5Mw34cdyklPfAzzGKzHNKl1Jmru1dnoJKSo7acRymMgUZEWagGWKK5qmo1'
b'VdUEdrfZuw7Bs4ADN9wIULiZe0GtVvU7rOxHF49Q8GfpvR5tY8Wer0vbnHSo4ytV/cVGDkxb'
b'k458zWLSSm990vLSrLvCHXTkAhSwUQQyM16dqaXH8w9PvOz5+NcPGyWkI8F5bpYpjLHs7FAt'
b'ZRrCw4eI2BmeJHWBpmJmiZLB3UwVpmzSwsaJKCxsa7TK5SY6HU+jz7TManCtS2hv9I3Zy6jW'
b'SqlbLq/oJaXE1O4yXxBdwTDSI5nsaPZOCOmBq176JQe1O5TmO2X5dq53Qq75QK3C1WoWX4+L'
b'gYwJ1mIwZlxpkB5V5pz7JCEAaAVA4NVOYIceZGOSZsKhxXmV5mCA+NUCbzHDnTmhI6Jq1nXp'
b'/vXrd19//erFj/7b/+a/3k/3sJKtioimjrbXnjoT2QSMGEzS71stBBP4//Y//083RF/86PdK'
b'Gu/278r04LVs7GFL203Xs+ShVLWSzagC5CAhnVglgSnT5Fzq9GLXLX5NqqWSoVqCGxkS95IM'
b'7CLEwp0L9ZLZSVLqhDMJK8JfoCV2EEk6p85YMrWDiDkxc5d6d9W+yyL7/f12uyXCy5cvYmNf'
b'X9+YWRmnq6srVXVCKP6pISvPEVBq5pqQWL3rkkhm5l7ENv1YSzUd7u9/9tOfvv7q13/97/49'
b'gxJnrbUU5eChzMFkrmbmpcYIw58WSgDU6Y/+8Gc/+fGPa526rotUIDxre+3E8hm7arYuAk05'
b'dioAHEjYJY7/cDCw8PfNGcJXHpPtAINBFr5WkUbwbJf/M5bZKeLDMsAaEeJAqh57ncc4DDp+'
b'uHx+lF4vfP+8dji30M2KxsPQ0FxcjjvSI2pOBGrQE7zAVjrclVdAwtEpMxjkVqWF/6GqEwlI'
b'TDHcj9/e7xlfE1Fizlm6Lm36Lku6uroSEcmJma3aMOz34zBN0zBOtdo0TUXny4CFKHtoJkFg'
b'odkxCebOIaYDMNNCREkomEAC0LzznRo2DznImQjiaAIAgRcglzU6kDelS5sxn63bx+R4zfsv'
b'ir3nMxzPEi/tyJbwmP6bj75fdxDHObYxAzYrRAF48wJ2sFOk0Gw/jGs4GnR3An1wT0pr8vK3'
b'MZuxJ8N3eEH4mftq93SjYm2UAau/gsEmuDdIjXb1rq5Im09BaK1XnD2btT3qUArJ0eHsSzra'
b'Yz4phsvhYExEunAngJOom5IO40O/yQAIIjlFRpVSkLNAqIIYbAQHq3kwRoAyWElFeNOxanb3'
b'Yk6chFGnkcUSJeHOuHLuefvSp7Hb3nS726v+6rrrJTl2HdNLK1VLldyVQXe3MBC6XlM3vHvN'
b'wqnbbq8/7/t+Gofh3TtL8iZLGSfp+7iNBOLutdZap2kYm4NEwMOHxpiA2aXEahHJzEJCBCZ1'
b'QyISOLuTVldxz0TEJHAjl0Tmjgge8qrqWsnVrdo0olbVBkV0EVDlZI8tzx+zZfmMkBjV5xV0'
b'o8BPOYjxh21DM8fYfmSOpp49oqJI8KOsbfOBAgCFOxNzAjjiHWjNQzMFxD4RQS2SErJIhAA0'
b'/rCN55Cs0Kz6nHfX5x5VNYChDF5rVbOiU2CW11qW1EV2nLtq/e+yq33W77i7zHlgADRv+9XN'
b'ZbMT8+GAkJkbO7MjBQoXQkPvMRuzUlkTSRnGYZq2myuvRs5Eqe+3fd/XkcjE3DnBYZORmLNB'
b'EMctyLy4EXNqM0nuFkHGx3erVrgHdmNEmDjQOPs5hiCZA05zImTMTv9tY8Oly1YPiKVN6pjN'
b'LDTzwerk5m3voyVqoDlpwzLVIuKmVpUA05bfIzoCk1F4kK+RSVU4ubsbSSKzBQ/MHR7Jm7RO'
b'LBLxqcxcTV0ruwWenTp502KZENw5tpS6OvFud03069D/cyJTgAi1AEiSyaBwZvba9NBuc2TI'
b'7M9oMzarwiKLiVklIuZUVUmSgt14uLv/5ssvf+/zH/zw+zeUXppVtpZpwYgjHY9ZdatElDhN'
b'OnZ9+s2vv/zN3/z7stvk6d3nn93eZOqvX2ZJ9/f3rnUsDq2hc8xdMjcbTDopdaC1lGKYyhjY'
b'yqqaQ2GfeKolUaq1OicmMiPARUS1auXdbiOSai0Eli4Tibp13SawqlKXp2kK8aeUIsKqpqpC'
b'nLpEJGaWWG6udrFPrnfXqkrCIqKqXddZVfc4vAarRet+v4epu9cyCYgZlnNK6e79/Wazi+yK'
b'+/3eoF3XdZ2IyE9/+gdffvnl23fv4XBjq9UUIgJyrSVgaz3kN2KmWDVKKf3whz/84Q9+8Pbt'
b'W1dLaZzhTVG0AhwSdtG63W4pDFPBGLgvCfguCAAHIvh4OaHpq+cG6GNt/u6V7+IYHeWjhJlH'
b'Wfy5qbXQ9UjlUyQHzBomfLzN4QyDEWh2og/bQ5YLhojmPFbNpljc90PFWOT9ABjwdRswWWDm'
b'NNz0JntwZESMNn1OWbeM5vCaTYvBIMOxN8uikiG0HI2zel6ciClkAPIIWGhvLfAIG24SRMvr'
b'BD2ZQz+3gH009/9PVE727erP1fQsyvD5qC/xfI/uRnqGYv7pzfyxZdGcPbuv5sDmBzH7iR3L'
b'QCBzfIQB5LANGm5a6MA1ySEHMINmv+jQRHIhRwgDDGnAjo0H5dmP02E5Zzin3PdbvwbMt9VK'
b'N+lY6qbfvbh5ues3HROhUpeIpKrDtey1y951u36zKfXVfnqzvX8FSiml2+sX4oZa99PDdD9q'
b'fejfv5Fu2+cu1FocWOlWp2lSLVqmUkbToqrQ2vg96GLrcFc2BgtchJ1C/neFVYcyWIi85Tl2'
b'Jgm5Sa24mquRK5uZFrdpFSRwIFBP7KunidhlPdSxyOrH1Z7eXb9laS4fc1a4haE7etOjLw7a'
b'nLUgGu40S834KQCHLlhATcQyI6J0LH6v747439edPiGun034/BOnQ3QoEzR+L8QB7LM0R261'
b'jOpwJq5CXuFMnDhOikduL1N4clenyEa89GUWMsOFZT15u4XOn7zsujWfxTDmo/D89WxEwr6T'
b'hy2C+iiLQuPy1zWXs8zMqtXdI58NEVUtTHJY95U99vBQzQlMtMAQUUDQaLVSCYeIo/YWaErT'
b'kM9ttoGcz1VKmZmt1JzFpOWMiLiezKLuALFTKUXgksiqn2iXlreL82JmmCfTWth3JUlqBUW/'
b'/MXf/8uf/3wokzY0IXF3rdMwDMP9wzRNqrWUMg5DRAElwru3r+v9u7f79zrcPby/3vbdy5cv'
b'b29vu67rum6YRoVKokTCzBRuh8OYc1a41xDkGAATi8g4jg4DcmJh5mTmhJTInUqtRJSZnSj3'
b'fUodMzPj5uam1Hp/f2/E2+02sbjaWCYphYgqKoNI2M36LifampnBRRLnhhba9/0wDAjvMmJa'
b'hcKTg5kV5u6J5fb6KqUEt/Fhr1pMS0qcCJw7dvNaUpdvb6/v79/v7+8C5+eLz17+/Oc///r1'
b'W3XSCoMzp+BnmFBrSxW33+/77SYUAUX15uYm51zU7WFk5lINQE6plJGTuFExdcI0TTc3+uLF'
b'zZrwRh7D4LsuMOsf4CbplACt63NDlpg5rtA+Pg5o9c9Xns/6nzJ8H7yojuf6Mr1+4icfUXhW'
b'k39Xtuyx8ZzXeWwNq8ZOJSJAwnkYBwsjUwDJOczb5WSrHppd5dDjITB3NR4IKPL8rsE6DQQs'
b'6MWcQQTIkqhpeRejIz9IAAHZTCddYDHXntoBQpf88eW7iZcfd1a46fWO3F+W4iuz/sXi7nB6'
b'5tupA6CjC/ZMnGg9zn65T+zM+asLAHwnf168/A5DOHADHzV1R1jv6+cBs0EwMqtTIRuZhHon'
b'V1czZoOwgCpEOKVMRFmSSdIsialSE5LVaTIv1YdS37+7V7fNZpcks+zShm66DJpM4S5a0XX5'
b'are56rtMFu4MfbfJIHIb/GE0ZeZu8xLJgc+LTgjJWTE8vHv/zqZpHO6/vbv/Jr//VlLX5RwC'
b'QHO51jkk1y1UdD7LTnENxDSazs7TJCLZ2BKz61irlImZwbQlJOEcZgBtdh11rapqWsiVrbpO'
b'ZsVRGPp82eucJV2Xx7CnzjeYr9w2lgrfQaV1PB5bADGjrIkMDkRy7ho6q9MNVskjiOkIoxOz'
b'kIAV87k4hS/+P8tzJ6G2Ny7MwAlqzSkNxxHyjzec/oNAclTZiEAsBAo3/VCQg9zZyGaQJTKU'
b'UmqtS5tMlFLquk2QUzMjMoNZAN5LZKc+ME8Hs8Wx6uH8Qly/Dq3eOp5H9K8RhIWZF+ibZepO'
b'ZuyotZnJXkpbbztIFMt41h4UUVmEVTUgL4hkibhbWnN3JgkiRmSqtUtMMHIjdrNaSokew6xx'
b'sqzL8HA0IdZMWw5mashLAfQCYoarpZS0VGdhFlVjZuEIkiaQxW3eVEMXTgZHjiwid0XOeRwe'
b'nOn2avNv/+L/+Me//7uxlIVuuLtXLaXEZlBV5+Y6CETcXwV5n9NUhmEYusRff/t6s9mAebPZ'
b'vHpx8+LFi91uG8YxVeWUNn12dzBRyzCIWquWWqqxkLqrq1YFUGudoy8kpZRTH5IDMwNcSqmm'
b'nES1LaWqTj7lnCMthTAzgUERTWVVH6r1fZ9SCqBkYpmm6X68i8gBd+ckPONcpZw5k5klcN/3'
b'4XjGQkS+7fL93TuvrFa2u20TXdwBdF1HdE2uKaWpNn+hP/uzP+u3N3lzJSLupFok0bbr//qv'
b'/9rM/vBf/Ozh4aHrupQzEXVdF4EfpZR4+UjL3acc8WbDMFUzTvT+/ftxHM3AIf3STE+8pej+'
b'aG39EydztTvxO6Ao/acqT19U62rLoV1/xseoUb+7bPDkwB4bf2Osjys/3UhoSghA8yEJyj4/'
b'MCBM6kThe7RmDdeUdE3Qj0RKiFOEFIgBgIDMYXJEtIUgsxMQ0XGc4nmbzylH9T/xCnziwoAd'
b'm26Otk3o/s3Jba0PfHpf0Zl69bsVoouCyaN82xMVLtVf93Jewj3qAyyoHx9MAuAWWS9crZax'
b'Tqal+q6yJE4S8XMAkMEC4UzEKaU+5bg5WMIaxQafxno/7N++ff/N169rteub25cvv7i+3ibO'
b'iR1UVTXJ1syScGbqshDppDqqGjGRZGEwO5ViFUCG5M12KzvJvaru7/Zl3BORWXWUMu1NR5I0'
b'hfqfEjPTCsWFYcEvwWd3EEra3Dx8dvwlgEUyS1Yt5rVqKWWcyrYbNjn3LCmlDpwMZKpu1aFq'
b'xbSwmdlU6wSrcA1XZvjH0MxL1T5KurvY0TMHcFLzomCw7uWkzdkXfcXfn7S8UirPFfzkyboc'
b'aabhDF8rQda9LLw1MJPjM3nj8FKrD2f/LsM4TDkf2HWgge0TEYLhM3i4YJoDwpFrttU3C48V'
b'MwvwBjubk+XfRdhYf3Uyz8upP14mcjcinuMgL1uc2qjPeH2s+PX1nzjj+JnZrKD58xIzlzI1'
b'GP7LwdMczs+LFEHucKvTcLXdff+LV1b2m02/AHgsgdEATuSWk+UOcZSIzGyz2dQ6mQOcAJAk'
b'IjfzYt5JCkGfmc1qSA4Ldp4fy1pBq9v5n0URgsKqMJgJpuz+9a+/Wt2qQuTh+O6qBBd2dUiS'
b'iF5llnCRr7XUanAemOlhYr53pi7xV1/Jqxc3u90uJ+m7TUTg9n3fdR3YubnyQlXVjSJFBTOx'
b'mxk8QptyBDiJSEieYRwgIuaNQWutbrTZbBQ0DAOhMnPf90Skql3uUkq11so0DMM0lnEcU0qN'
b'sZkzBuQlSjglp4OPWZKUUsIcz52yCFytJqFtnzXx9fWrWuvr16+/+eabosqcXn724qrvaq0i'
b'khjk+N73vvezP/q59Fuknji5mkNTYhEx8P/1V//3dncrqdtsdt0m12K7qw2cU+bAQlRVSQ8w'
b'TylZreCUe5umaZhGIhHJTDCtaOfP50BzcjxbAHiCgK4JyqrasdhNhoMTxe9M+cj42qU8NRvh'
b'cO9HlU8+zDVPKzyr68ZaP1XnKP/IpWFe7jEsjRfKQSt/fpGsLANNE80HShpaf400W5FIKCTp'
b'8K086nzG2seB/i40aL7S2mgoxAgiJ4ooXyKQk8yG+bY6Nnvz4vDr+X3mrWifOgp8NRWfqjx9'
b'ai7ot07Wl6zBQmvEnT0u1J1/fnpz2tmGoTnZ8QcLz6LidxMwLt7xH1vOD3K770M/arWOQ5mG'
b'ksZpuGNmDx9Md3VHtnCoDSLbdV0fzveS4pETTFFKuXt3d/fujaoLaLe58u0uUSKv7uJuzpDE'
b'qSOCGbEZ9pPe7QfFmFO/3XREBGF1K6VUY6dN12WwR7YxTt18+VXXqekRmZ3Z5ovQ3Vt0BFEE'
b'mJI1MBDj9gENDbsdPePJSXhMaRxSvpeul5RS6iRvRHKSjaTMKUM4kLFd1VxdjaxYywT8aU7B'
b'bBF5Rs0zmvx8vv+xwn5qfDhhqdccKtGsXI1OyS7Kn+vDRWTuGqH6LWQiWrBD7mg4wwO+8cCj'
b'r5piXwnDHgas2eOFmhb18vjXUsfJt97EtiPHUJ8tigwSoE6l5QJrumRilpS6ln9w1WYYnvrV'
b'jDFzBHysGf3ziVrYfQA43gnL4i4tHMsJpxfWer1Oejl3ATqfrqVNIopMzbXW3/zmm+9//4uU'
b'kkWszEqQiJ+IcBiCRIRcHQb1+/fvuiQ/+YPfT2ybvgu+P+KLlh6XyI0gR07W0jMcrFtNDOv7'
b'7E5wYk7qpkUZJCJdn1TVNKCxHbBYyhC0giaQzaGEANByfc4zzJFnwKx2IhAehqHrezOISDGd'
b'r2GAYG4whRmYrKprJYrwGGbQOI4piyoexomIwo3eDQ9uWfz169c5502XUur6Pkf80suXLylx'
b'J1m63Ema1w79JkvOzAlm7p5SCicopkTMke8hs6TUIqdzymaWpOu6rjr6vo/pFaJpmsZxtFoj'
b'JIAMZAgWP/Try7owc7/p3L3xLeH4D4d7FjatzJyFzWzaP7jVxLi/v4fp1dVVGYevv/76L//y'
b'L19+9rkTXV3d/OIXv/j8xe3NzXUtEzNvt/1n0tVqlRVWDeaqzDBQHfb/8I+//MU/fvlHP/vP'
b'ui6VatPDUIoqPFGSidxJhAjIuXf3aZrev32/213nnFPue7Bd2du3r8dxSMLuxmhxNG4WEU0f'
b'YQH4DsTUXR36tAX/d7ycqhA+aYMnf15kZeiA5n65tU84uSe3y3PKit4RVsbs5SuiBMCdg7qt'
b'lAcXtP60KovgYbMUw8CSqwcwIiEiAoHIiWkOTsCpO8xal8+Hf/9TL4512l8DEJgp5xICfjs2'
b'+kLX69ae3KCfhPv/hKdgmTF3h6tpKVMt0/jg2r4Fk8PgJkoUkLJMYBHhlEWEOBFR13UkOaUE'
b'0Pgw2jQS2LSUcbx790bLNJV9rZOTXd28urrZ3XRbIjb3Um14GN+9eVNM+76fNptEaRzHu7uH'
b'aSrMPO6Hfrvp+55zcgORiCRugOuVCFBzI4jMothBmA65hkBYgi/dHLSEScxEPjxEq9GkWqYp'
b'0cDMCcwiHXFK0nPuUu5zv+GUWryEKrSaqZm5hqHOF+75nCd7nOf7wGI+Ric/+Ksn6qy/faKm'
b'r7T4j3X9GAcJYBG/T//104JLfDnNJJrODHRHvawGtq5Gs01gzaE+PuZTM0hQZW/abwd5rVM4'
b'NgRcqhOIOXUbsBAbucLZCW7BMbspLmSjOaj/fdFMrybWn7iV1teELwr7ZX7aKx86Op9krC6d'
b'dbPNg4VombRwNGpwMYC7j0P51a9+dXW1ffXqc7XTIS5TrapEHsY3uA3Dw/t3b70MsMrC67We'
b'1wVYIpWPqecR6SaDW612dXP96tUrAMVUzWs1d5/KRESuRiLV1Fx3XadlWgPb+mwvOlDR1caI'
b'PwuUiEupKBCROqmZUQYTGmate2iUQx/n6sIUMxVOYlnSYdJCVFCYg0jIUZTISL0MU4E9YFa6'
b'/+JXX0XERSQ6yDl3Keeccye3t7e73W6z2eScu65v3H/zR2BVnaaplOLuqpr7DkBOXmud1FQ1'
b'4GvHh+H+/j5eM+fc971VBdNYym63c/dxHHPO2+227/u+76+ud8wcnRJRSqmUoqrRCADARIRg'
b'D3fv7u/fl3F6+fKluU7j9Bd/8RdTLTeqX3z/+7nfjN8Mb968qWWoU7l9+Wq7696/edNdvdpK'
b'L8JgrqWY1rF6nYaplO997wcAmFNKSeGbLF6VuhzyNjVPTn24279586bv+65LkrJaAbJaF3s4'
b'vL/CTBguVbWaanlUAHiMOj9W/1KFfwrd6j9nWRson6w2J2V5rMIlevbBuT2q3LI2ts8A6FMw'
b'tf542Nxjw7MGU91gntaX6EJEvFHSCA5bvgVmR8aDVCDphBwTkQDuGimXEFcKEJG+gBBJ4NMs'
b'EcKzDDBzcqs3ivRkc3bJeNawaoBZMFjbBI5m9bdFG8Qz2JRL/T6/j2DwGusfV5+5O8Hm7LA4'
b'UgZ+F7b5HKelrTJ9wDC1FF45xH0wj8Fj5TCTttZhHaF/PrGf56v03F8xklcsCYwMVs0MsOpq'
b'cKLmAqTBznjIA8EahhVLAHTdhsKoLXkaq9ciKcPqMDzc3b29u/tmf/9msj1LevHZD3/wez+W'
b'zLvNFXmu+2n/7uHu62/G/V3qu9tXryjlUsr+YazVzKxIGqddv9l0XZ9SByfiJJKpebTG9iX3'
b'hvkcrnFzQG68e8t6AZrRlmbWdrU/QxVNsAmuZmRMIFHaM3cVe5LM3abXnfRdxNuZalN5KyJ8'
b'cEYwXOJ2jopf4rMjrff6uR//5OLn9uexPhgAEC4nF4JN1z8MHvfieLCIl+6x03gObGsspjc0'
b'yJnetV+d8FKrST160v5omdgPpQUAKGC0oMIHJ0yHoR6xjydTGjmbW/awBapoxfadzGRU4MgT'
b'LGuJ4gDQCXJ2M0IcGVXd7/ft+Js70FIgRZC4NbAmB5liyYXkHuBchLMJn93VZpSShTOe7xEA'
b'zROqwTYwAPXmuFJrNbM4zW38sQmOkY7WPTIHkg1R8/Bpe7VhLs0pw+IdW0TNXKHWOk1TKcei'
b'wgVhztm9uiZYmYb3b7+d9g+d+Lh/cMuJiXkb0gUtF2T46R3KAvNgwArFBeCcrq5ufvKTn96+'
b'elGqOrFWMjO4TtOgpe7H4d27d3f3b+twL0nMDpbxw/Ym4oUIrEwA7m6OrsuSukCmYuau60op'
b'88LF3KVltCJupqrKBJG0TL6pMQdoJJlTKeqExIBpSgnq7h42ENVKqgE9RWQ0KNFoZq6Vmdmx'
b'3fV93+92u91u9/Lly5ubm+vra2ZOKcE09kAsh4hM00QQtwrU+2F/d3f35vXbd+/eDcO03++j'
b'x8bZs/R9X92+/vrbEGv7PgMQkaurKzPr+/7VZy9vb2+vrq42m02svlfd7/dEnnOOGNz3b19P'
b'w3633Q77h1qmf/zyl3/3d3/3xfd/8PVvviXJJBjH/TZn5t2rV69UdRrGV69elVKS1v3D3hNn'
b'5vBl6Lruj//4j9+awicAACAASURBVOG+2+2aaZcop2RWa41QF9Va3L3UcdzfqxYzKSUQgeCJ'
b'MlLOudbJtJJ5aGfMrFat1VT1EyQCW/N8WCkM2n79lIrFf/7y2CVxXq19OvYwOaE+F588cxjf'
b'4VcnLTytuFrK0bVx9pwDRvMs/uxS4+02WKqtd85BBjgWALz1ktD4rbAnNUChSH++iBVMBDcs'
b'3kTuZ1z7U9BPdEk1/knK+j57rgzwzJb50TFbuyB5jl9sF9XFpbzYyHNmY3Xqmz/Wx75sMC+0'
b'Ctx8uqy3x6GjC21e3rEXGzz501eZeNo+FyJzGALA0VseIhOkBuZtIQiAqRJYx8qFixWlbirV'
b'lETEtT7cv3t39/bd618+PHyrNhHnYUKXd1dXN30mhpdxKg/349s39+++5pz2928pd+0dSWrR'
b'wamf7mu90c1uu7shopz7lDckiSjSYTtggaRKRJyY6KC2JBIiBjeWTVKAS87WgmUSzMENcq7F'
b'iRMTG8Dw4oEWUkmrSGYzdheouTlpnTWDHz5Nj634xeffubWnv/pAedxN9JRJbYwyrSss3Pwx'
b'LuSpVp5WlZc6R39H/eYivlgADq2FCeikXz8mgCdv8TG0zsyMI/plJeGY+zQNaEeGHJ5Sl3JH'
b'kPBYqvMIw+lsYRNb18dXxhMDO7lc1jzGTDyCGzpV2y8tNKJxdsv4pRJM0hqZZx2NHYIHEYGw'
b'2WzmtWjv0Kw0zdhhZiZCLLCq5nV//+7h7q3WqaqBnOEhFzEzkZhVoiXL5BF0+noGvGVEbn8+'
b'7MfUdT//F3/c7XYGNm1Z/dw9pVTKmFL6j3/zH/73//V/qdMQKYdPCH7s2/XMLN8qbNIKJxFp'
b'iDeqEeYR87H8xAhkBK2JmDqJOYxGwosGi1MNMRimrsQEquaJBe5TVRFJeVOtzNPuS4Y7BgPk'
b'TsO+PtxP79/tgW9y/mXXdVfX26urq6urKyHOWW5ublJKHug941hKeXgY7u/vhzKVUmrRWqtq'
b'c+IKvZWZXV1diTcTwTRNyxIAGIaBmadp+sdf/oKZr6+vv/jiiwA6r+MkIrvdxt2HYRiGh/39'
b'QyljEjHTu7u712/evnz5WS32yze/+tU3vxGR3a778z/5k67rAOScU+7e7QtniEg1UlV3szr1'
b'Od1c7WqxLudlmYQD4p9yllqr1TKVQUB1nMZxnxi11nEcc9+llKc6qCpgbsoOg6pqi9tpSQZn'
b'yE5/RD35HLrps44F7hHkE6e/+hJA08jQp2R8PmV5PlPe1DCHOaGV5vj4t+4eaRDc3V0bdTiG'
b'O/Az8enZI1mX2Qb6Mczr+bLO53/d+1Os/1xJEcpEopm39mVUrX5jx0M/ffCkXFojotD9tzDE'
b'VTxA0w3PidwjzsmNQOwiqgCREABPcwBY4OFTcwTiuJiDcoFIJJtXM5v11Qdwz+a1fEH7/slc'
b'hh5jd04rPH8lnc0be4FVNuhFlQUmU3cCmFSNLr3KR+0cHJOF5YMdMzdLTf/QBU+hMz/kp2tL'
b'vlSwlrf9qLuTQj7nep7bpLN2To7bOXEjIri6sxExC3PqNhutnDpSGzuXpul3NndmA0BmcX8Y'
b'HBpJXN1R4zCUaSQWQ5qK5b43L9M07u++GfdvbLzPKemkNDoK6+QwDMNe64Q6Jq+dWx3uH6b9'
b'YGZQZnaWlNIm9Q96D58YNaUu5+xgd4IndRKGmxIRyA1qICd24jlpCBymbj5HzMSVvI7IiePI'
b'DG9YMWAWmrPmBSQMCCQp5ZxSYhAj0os5tbSvGjIA+0HafmyPra+eNRG7wPOdNhVjnrNNHNby'
b'cJYvCIqPIMyc11ydyfkio+WrBipiZm3z+iGZ1yHi01xALfguzuOcx3f5l1yFPEAV4Qa3YDXa'
b'JW1m85gVLh6peHlhec/n58DGBtn10yld4/+s64fVKPaDBXg8eQ750JqtNph+BpkZgV11v9+r'
b'qrJH9FWputvdxtJIoloiHyoDrqpEAhCcmRtN9ln1MzPWMZO2MOtuEVTkWGm+Y4MuLCYRi0it'
b'OgzDw8PD7mYbjQeHJ0xY4mtXRKBx86tJWHjfRZqimS2ec0WV5VellBc3t4tNAE3VHXpZWwQG'
b'cjU1qMFsP9zdvXv78O6tuLEwzJdY0pATALgaM5kv7kyIONqTE+ER1UNk6imlh2Gs5td5kzfb'
b'qcxnzpSIOkm5S3/8J3/6l//nv/7yl7/oJat6IJnO2xvMjOMAhsMxCbdaJoMTs7rzwezfzqDi'
b'cCLcBHBYpMFox8jMGvlxLKY2FgfMSNSBQOmR7IAaiMQdFna1ZrUEiNyMwNUMoLFUAJPW/VTe'
b'3d9tu3dElFLabLvFQYiI6qTjUKZamdmJSinDME3TFGA+OW/ivmHmqepY7lsuDjMzK8rurqXW'
b'WpfAQgDv3r7/9Ve/acHBwiKy3W5TYjdLibc5uaubiUhE+t7e3n7z7ZtSNJOIYBqKasu2xClX'
b'9anqjrnrOjImEcCJN7EdRMSBaIdhtU4pJVXtsgz7+69++eX9/f04jp9//tnrb7999/495/zT'
b'n/50d331/v379+/fi4iEXUutaqlTqXWK8ImqamZLdMVTFtIPygA4pq3LvzP3/7vK+T+7PHYb'
b'rWcmOH5c0Ede0CHNk/Mpy8fKABfLcQuPqtO+Q7MX21oTnZPnAJyZADUjsAjNdnYyuDmTk4Wx'
b'mZxNEZeotJQ+8x3oERlQpxoJ9mqtoAjJskjC8rHv8tuUi6fpt1k4W2kBD320A9j8MIgIHjD2'
b'9lGhmY8N7PwVgj1a4g3XPzzn7X6Lwu71EB1O1PzKfjujShvYoRELE5OTJNnknpnE0QUT5k5s'
b'5JE2D55TAgC1WmudRtdiWlxVbSQiuJepuhhxcjaw6zgJIxO6vnN3TptMIsRMpKpjGR/2d/f7'
b'96phZLc6DVWnauoBYyfikiGJvIpI7q9EiNhJcspdLhtYiemhGbZcRIjWwnywes0kxyveglbF'
b'4ABzeHZRJNYgJzAJSxbuKOWUuwB9h3kYR4J7i9Cvp11Az9nW5++Q+bdni/hJbWtP9n7QlT5d'
b'+eIbXbwL1tz8utoR20dLQqjLbfq6zF88MbB1XZ+tQOuZPNArahGosybL3Q2Q/X5fpurJZ35Q'
b'hHOSzm1avQ6Fj0nw1osxxGeFus95YJbuQgBYXnx5leWzWsuZ5YFYaRbQLrLK14GGZnMQugxu'
b'c/jjE1vuZObXSxBcHdAEjMVr6KwYXF1VfYxBah3G/d007t2qu6Kx+OzHWgkix5xcAmRwcQTX'
b'HWQcy0ga0RKGpFKtVFNQx0LSkns6c6SBM0fO/dXVDVNiTu4a6rClazNb34Inm9ABzDkkZbY8'
b'BP0g4rhQrEUpL6aSQzvttC6zFOmoIus4nKAAHAIycgE7OTebznxr0JwSjEFEQk5LwOEisNRq'
b'AErRcSzv390vgGYMERFOiYimGqy8dF3HSWxxiDETEYkUqOQL5SSicCgys5QO7nbNdOBORIlp'
b'Sd9GMGYWuNZp0/X9JifpitZxqmNVSV0p6u4F9stf/vLh4eHzz151/UY9S+6jhSw5smUIUSKA'
b'TFKiOXtxaCBCwzKqlVImrYug+/kXXxCLqv7t3/y9KW5fvri6ugrxwMxMp1qnWkvVCWpmVmwl'
b'AJzs/hPq/Jzis1FvOQ+zuP38Nn4XyzmxbipaX/M0ChxE24PS0ZyOHRHsjLI8MdVPzP/sSHMh'
b'R4Gfzvl3Q2W93PLxs9BpLUrrD/XbrCWPWR7iLAvNt0zk/WRKztaCEgkeMYuSTDWgeCOfNwMA'
b'i0hx1xnzBKBAG9BaE3Okw1OFeaijXHLy5wOVP6v81qnlPjrqgIkQ2QeJHWhhlw7Y8d47FhJO'
b'sf+f5vWfQwpWSU9nJDs6LG48WcZ2+rN4kyVPMLCEthwGP4/knFv94Ng+VEJEP7KkEcIcvSXe'
b'hf5PUd0IYCi7uzGIKPRMMC2ljMO+jPd1eFAaSONyJIMaM1gcLWM8lMyQkHMi5rzZduZKhKJl'
b'P+3fD3fvpvuC6iJVidi4jnAlIjcYuLpAZU/W77bmo1MHgeSU0ialDQyqhwPFlBjCxCRrtPmm'
b'JAfg4eHTrG3OTHCE6wPN6Y0MTExMCSxMQinn1EvuhBOEwx2otesOn9yKe3FUI7PViTjH8l/v'
b'unMOeHn+Wy9xKCw/YG59qlBTQQfXM/uczwE28CVXhSCSPQV/c0HRc8JcHn01a8tOmPLDIIgw'
b'93U+b4fKTHBQxLFQM1ks5gtcaH/t8hGMpnsT5mf/lnbQbObL2wzs9+M4jrbbEUHhxCQ5QZjq'
b'cjBnvDVEWqfDhCzH+GyyaSE7R+77q1AhnxUfRM3Wp6qqvqRMPmwnB2YXqdZySA7M7lwf2QnL'
b'fPoxRtBiMYvy2Wefbbc9Gm86k0oyzIwaVCkl1XEaHoa79zbt3XWWulWd1Zsdo3GiKaJgWqeX'
b'RxW5NWdBNGSSWmsAAQWz7JGSlRju1SznvN3s3Km6OcGZLFRHNKeOI4K7zDLVoceWn3mZ9gNP'
b'T+wwEDVvPwIiRaA6uOUad4Q1YPlJBJC4LfbIefWNwomuJWYO81WMAMA8AHKzSrM3SaC+NkvR'
b'vCYOqMOMRERY3L2oUti10Ezi6lbGqqrgcDo4aJEWj6OYBFV1QuryrGqDcMtxAXcGiRziPZN0'
b'xA41kExVbXCgjtNUipJkEnb3+/v99fXuy6++eRgmp9z1yrnrtvTq+1ciAjNzg7sZKZzYlTSl'
b'zrn5RCRmZjb4brP95vW3X3/z+ubq+kc//snuatN13YsXL3/1q1+Pxd+/v9/trvu+TywP7++m'
b'aYSranWdoIvU84gAgEfI0/PLfHKaXnBhmv8TKyc30/zWl31GH6HpOH8y//ldlmDd1HE7ly/X'
b'79byuny3NtdMPwBmpub8c2DpiIjAZsYkYIu45woz03BONitsDkAYiZOrTaXmfmtemJgi+0xR'
b'Itn2nZZqWt0VTFmSwc1qGLK/85w84z0vG3/w263FxZIjxNosPBYABxkRoEvgXYho4ap+ofc1'
b'D3EiDzwmHjxRjiThjy/nPR7u70P5xGvnc5hEYxok95urvk85glybOixBxd2VQUTBcBCRlWnY'
b'3+8f3u1FpgeqgHl1spTSqKYLBJajSykRExRwEpQybTYdCVfVsUz3Dw/3+we3SuSl5Z8yivUk'
b'h6m5OkQkey0gI3ZmTl3O/dZtMs1Jx3muPIBCiYiYHWbqDm8y4vEWCFP/QqaYEziwNZjBYBJO'
b'kMSSU+qSZEhCUx9WC1BRV6iZ1YMF4EMxYCdL/NihONmK5z9cqi0tfNrzdUK6T8j+UtZjWz4/'
b'h+CvCy6T8eVvXsvMT59KIlpb/C5eQMHfn1Q4qCNWKvl1pH6kZwed5AIjAoskIrHZBSkSFCA8'
b'kVWXNk9IzcUXX2InsFIBzF+vR9i8w4kQoOy+SqkWjKHPGX8jLcXy7fFcHU3LekHnNZ3Fp+DG'
b'Mn/++ec5i7sSh4DuxOrh4V5LRaSJrVanYX83jfdaJ7iFJtBWmZ55LosbZxtAg508WdMmAwAI'
b'UE6b05bFYi+4edW0QRo73GkYhgC4PJ7wgz7lJI1mG9iypddwHbxsGwbArQKFmtpnAcB9yXOH'
b'aAHUcpB4+JK1H6p58951Crz/psoMmkkBORo/d9AhGcXpjeBNaHQzmEXmk1bP2j24ukpib7hO'
b'pXCRFusyx34ADe+fmQP4dT0z7VAcwJPJ4KQAOEARiFzVISlRVrdSqpkxC5Hsbl92u23aXPW7'
b'q3d392mXu+2m1qmqc+5iSLWqiEAagxRjFg5RhIdh6LruD/7gDwKKlwIMru9+/Ps/+f73pjdv'
b'3gzDQESbzabv+/1wZ1WrDl5r+D+bWVV19+T+lH5lOatP01NvpisiMA4H1edj+9zwvt+FshAF'
b'X+ks12WhjVFpoRE0+8NhMaQek/Unenl+OUV1nostrnKX2wzKIM/o4Yyp8jMt/qzVI6Jnjv78'
b'Yl7LAIcyEyIATkLz1nJn9wAeZoaTK5lmkIR7rjKIOGV3H0sFCGSqJkQpS61TmcbEIsLuXC1i'
b'AYg5xWSt3+iR8p2sKCv47OXRySTM3393RjYsgHEluZnVIokAj7w7RMTkCg0Pjbm7Z53Ex5j+'
b'8xOx5gzWFHk5+B+1yVv7tLqS6eiwrNv/VFTF3cEn3CqL5E2/S7LtNlsiV7g5Acy16VbBJHMx'
b's/ywlZw81sErKWoZRZiIhDmnlCV1u86Gh7HPpQxKOlb73s0PUyc5dWbQ4mWs41DYa/j4Voc6'
b'OSSSabgHxqdrmdU47sTc5d52N4mhddCyMQ+ezChyuBK5mlkN3+vj5WjwfBxeHQQDw4nARCDK'
b'DnIOcOwekiRl5tS8FADHjJHSPH2dzhOTLzk3YlrbhLc1XJZyPZ7HyuPLvcLymhf0o/bGydZa'
b'ip0NKHimc6r+GNceNXnFZLffkjkCM8nnBD0xleYUqdpm1jmU6x5XChBx6HHvoLlnROUl0GAx'
b'JBwHy174fLEYXB0pqMrZtzQj0gMevgTLdBDAqSNOM0sA90jSZXEuFt+MZRh+zOif9rWWtebB'
b'06I2OggPnlK67vqTdogIiAAwX5Z4Wb/G0l3KBHwyKprdQlJK0zTpzAumlMiMeSUnuMPM2QxK'
b'7mBG9TIOZf9Qy+i1wmsoqJdXaF0gohSoKQpiLxCd31DSOI02zggnbb2HiEPNQqKqTBTuhdM0'
b'DfvR1A0uxGHVdHOQL5EMESwma0Poioa3BGKNx6DVqI6gRQkR6QcmdncnhYM9KAaFfcHgBHFX'
b'IQaFkIBFVnV3n52O3F2I4+onouoVgIcKiw5nUFsaUKdmEIKB3NS1xpvSjKxK8BZjYEZOZnO8'
b'HJMIgZv/lWsF4C2fMZED5uYWx61laRDxcAYjAG7miSmllCUR0VSGsdRA7zE3IuKUdrvr7Xb7'
b'+Rc/uLq5rpTe7sfu6vanf/RHIFE3Iu4ktoRUqiICsIAIbkEPuLGXWdLN1TWDvvnNb0yLJx7u'
b'H3LOXdqmlL744othGGCVPG+3269+PdapwKYWGcVYJJy0PlEn5YNk4oM/pJUWME7p77gY8BxO'
b'5eStLzL3wfzTWulyRn8/iit6fnmi2fXIH7vwnm52qf5R6/hY5UUGWD9ZHoaWpUsMoGijDWwO'
b'U4FmcvFKLil11amYKqWiFrSMCVZrEGN4zSmx2ziNAEvKTKjWSAxf0oV/wnLuc/9pj4Cqklv4'
b'eWhRIe9EShljD6452qaluOyxerks18Dz9+ph+Y5F3O/w1hc7XbXzqCb4YlNPqznig4DmAHMQ'
b'kUjO/abvrrrNhtjN3YjhTKucppKImZN0CgdcfRrH+33uuOTAUmRGJgYlcmwzX3f8Qq57v313'
b'54Pud5ub3W63221SFq3oU7/Juz53WqtV9XAn4S6nPjLy1DLBC8CEBBetXqsVUwjn/orJ6yQT'
b'PZC2e5YQeJBwdkaa4xQXYChrIbPUVLxkRiAwGVxIiAUsIlm6PqWOU2YJDSK51rbH4CAzNTKH'
b'a2NtDxzBp7TSfOyV5GsFzTN24Hm1k93rT/q0nldePhzA6Rfm8iwF3sLLzh9OBvaIth7Ak+a7'
b'D472ibpRR3E6nogDB1BrLUXdADDIiDjnPudc3DGD7jTG3Vp47MmiXFQZnL/I4Vad6yxcMsuR'
b'Yiu+PUgCochrEdtEs5YJs1njZMUX6WK9movA4G7hJqeqqsotJhsesUFwUzMvzElR2BnOZjqN'
b'91omsrCJWWia1W0pRKRqy7CJWuB5YKtcXKOYG4Zvu54AU4WpWfWFSV/0r0Qws6o8b0XHYQJx'
b'iTivyf76XyOwxbDCEsUAyNyoOXDyCophThNJFLgBAIgNburkDrCTwNRh3rBtQo1KEbsXgeiA'
b'VXdxtcj3c6w3PF63eGKz76IDzSIUJZL7hivB4uVPbQKoS0wiXde5eywugAX1P5ysrIXIN68t'
b'kIdY0iRAgzoCY7/ve9MI85XQzefUAXxz8+Llq8/77Ya7nDebm9uXX3z/e8LZvBIopQxAVUNo'
b'CbnFrbqZaYFR84UycwXDSOvL25u+74dxP41FQdyBHKnLauXhYcxZhmFfxlrH0bwCJsJkDUoM'
b'wIdhQE+4xot7ZVVBAQJkOTbLVrzodfD/g7IgaHtL931CXg9vGrp/P6joT5in9a+eItBHyKGn'
b'7NoHKftqPDgf7WNXFGb75pGee3V5zz9Z9+5oZ/WpO/6wYfygTVmTePAhQ3s8NAIRCARqJjmW'
b'MH0YVDvYi13/B7/36nrbbfrkwN//Zv+3X35tcO56CtOrUM4CVS3729vrn//scwb+9h/e//qb'
b'b62hdHDAd+A8CODRPAC/fZmV25+u/cTkzm5VVRPji8+++NGPtg781V/9P6XWEnaASAFIh9Vf'
b'7lE8sj8PAzxf9rMyayXaeV/Jdeeb8FQ8OCqrxBaPcf+LqvSxOhde4WMkbbdwLWXAnCmlFCl+'
b'JZFB1R1gqi01PWDCTmSpYzGqPXUl5U2XOhkGIm0xiAKqWnUaf++zq//hv//vNoJ/9a/+x//w'
b'H/FQrrvrlzfbl33XCRsn2XT99e5q3F4/PJSHcTCvDsrdVb+97fptLePw8H7a36l62myIshmV'
b'ydUcJDl3QldmhUzgGtik1FJfECPBquuyojHJ1GBbyYlAgQdCLCIiSVLilIk7zl3KG0mdMwXy'
b'kas73LyCbNFpI2KkvYEHuZMbfWDrnK3RM+XENSv8wZofZP1X99RpfZodHohnPehC6lflpMFV'
b'zZMx42T3RgjrUsHMiA9CwurUkLlHfl0c0/DFlxurk0VEOqcMOBnSM8+Ot5AOWpi4We969Jql'
b'lFKKwZ1bfoxIpGpmlCAi7ubmiyOLH5A0D2r1GNXJrXQ+q2G/iuex7cxm8Bn3WnVJp7C2A6yn'
b'vbFuiy/QrGlaT8giXeB4M/iMcMXMPnsQxRs4jEwxJ+MzFzNr/jimWqZpGtQKZmd6EYnKql5q'
b'cwGi1SsLuZubGT8ppMUwc87rzRZvxERmVSSs6BZgAF3XSc7txYUdEUF2UMM1Ln+ZuvYvHT7P'
b'PE5QtjZFCM97AiwxAzMkLgxzqIY2j4m55aakD6/EqEOEOdkPkTsZcfNZdVhsczrsHCIKy8C8'
b'N2ZXnBBNF57iAITQMAaFeJGy2uKZMXOWhBmcqq2CCM0qs0DlCmTLgAqN57VWggllIoJwoKKV'
b'UsZaAI+cx33fb652u+1Vt9nutrfdZvPF93+v222vX7zMm23EBogp1Lo+MWicKjMXc3bPwqpG'
b'BBJy91qn2JOllof9fRmHruvKOFiZEvO4f/jq1796cfsy5zwMw1dffdV13Tfffu3uu93OvC77'
b'WVWrGbCCAX2aSj6HXmC1g5f67IvHwUdcw//E5VlKUA5OfpVVZHbp5haFww4PZ8j2xMOGNn9e'
b'WwA+Vvp5zr31RFmf53N+6zKrt8ph/8xOgGdz/48/+eCvzGvAqJLXPvmPPv/eH/7+dQpsOUCB'
b'3G0iHsjV3JFEBF6rJaGu67Y5RQr6XjgwE8NPHgI1o+ZSe+pCcP5eM7pQ2PvwRN6rs7awXJwU'
b'oc2z20w0Ei3bd/JobwBhzG4K9z7LJl42sxmpoq4utvWpxJL99awcx98+UufS/iRaB71HzNWh'
b'DrtxAPw5K+BtEgjkHInKTqLI6cjdiDEbtgFykHkQ/XnMbMdOWjxHYZ4P/pzDOxKSCZFup90Z'
b'iThJ6sidGEqhholwC0BkVnMKREi6nPsu5z5J1lqZ2aoDDrME/OFPfvSigwD/5Z/96d/97W+w'
b'uUr5tstXSTqBOCg15lsMplYAR8qyubm6/WJ3dV2HEZ60uvlEnOEMhauaG5FIIiJLmouJKsOd'
b'3Zk5CTGzazV2AdbIh/H+YQqb1wLMiaWTbiup47zh2e8fnByRssrg1Bz91RwKc4qL3D32Ddk/'
b'IbV/vuD3GLU5l36fKCuBNvjgw0OcKSOXTpfj1jhvrOWHw41wtPGCDwaAo9xVT7zgyW9tNe0t'
b'6OdDtv1FlFo/bHj/TkFlGa4wdrZ4faZwGWNQwIrHgWje1dyl1EezzBCZw4j5VGpagmsPwCFn'
b'V9V6Hpa3o9CLN9khhCgQUcqZZt35oqaN91/BwpBHbAwEhKplaX5NIc0aRtzipbN8VlU3ZUak'
b'WIJpJAKfWV5yM7OamMlNtUxlKNNgpmyqqiEE3N7ebjabJc6eqHmB0ezBcmRGiwdn68iwlbuQ'
b'Q5iZoRHYZu4eIaqmRpJS16duk/u0zPncnRjcq1vLqOZEgga7EfuHfYlMIFALISqHPbPsITQP'
b'GZ9vt6XOeh+6u7qjWSEEBJ5d5JZqypTIQYEOFK9Dy7/s3OLRl/pawWCYG8gVTImFhMVQyaQa'
b'CScWEQF7A852t4BCcp83kscUrO1URwnsuEmbqi2gJbZwqZOZAdz3fc65qLlr3/cMEhHuuv0w'
b'Puyn7a6ocadOr7+tr2n35r0zSXMGg5W62/Zd101Trar39/fMnAiw2rzd1ELwYCFT39/fDcOw'
b'3W6Xg6OqYy33D/uwHsO8mr56+dlm289wVeHVxu2liNJ6VU4W6XDYHinHX0UgTkTlt/kyRBBJ'
b'4COdAJhdYpNOn3xa/esJSzZ7lRz28OGM+RzD5C113nGJUHo3IDzX3E2D5SAwAuw54lpmmrL+'
b'fHSw1xaG+DAPa6Hg5Dj9VfvzwMLNa8E4pe8Hhd8Rr3PM4LafH1z8eT22s8KL1uqEV1/Xie4B'
b'eIMs4GUk8+E/SPMxJItI4EaYDEAFsnTQQmaZ689+/OMffZYBFOB+wMPd9Pru4Tf3w+QiLGRK'
b'c8wTU6pucO1EOgBAZjaFiYQh0VwbYAIBLotWYt737Eag0J0bWQOjjxdTYnVnZznkN5nXDQ3i'
b'IHZDQ6fXgCkirL5VYiNrkVxzxSVLMc0a9JZQc8ULz2FxbATmUIaJwAG96lIPOJCZHtwBRGpP'
b'hbtXAETCDvPi7sJsxA2nxWsT6EAHid0b6uB659msEvSDv/7h4nQmNctM5kpGRFQdEdL1Yrf9'
b'r/6LPxmG4d/82383KBsJJOzJrgCbR2Jzc2fmQKtYvMbJ58TGcGcSAkHhcKvuBBZ1ImFz49lV'
b'1U2Zxda8TWKPxAAAIABJREFUvjN5Q60xsJMGrtoMbi8OB5O6qxkxm1VndwqIbk8ZyQA4p270'
b'KaXtWAYm4SQiSZ1S8pRSkr7b7Da7YV81FsZKacyHm8ySSSUnZhB3skPN+8EiX+o0Df8vc+/S'
b'a0mWnYd9a60dcc69efNdlfXqrm52U2RTJkE9SEqyPNBAHggwDAOeGDZkeKSBYf8ADzwRPPBM'
b'EDywJzY8MjyVYUuwYUIWAUs2JIqW3SSbpNhdXV3vR1Zm5c17zzmx1/o8WDvixHncmzerq0nt'
b'Spw6N07Ejv1cez2/dVlX55cX1dckbXl29uDBvQevnZ7cWT17vqp+vroUaKiExLC+KEXrplJC'
b'iw7VAXRWYLXWmvCIlCJqoqBLBiWSjKjCEUw9WX8CohCDLaw/LYuzbrEs3QnUGvoNR1+FgRJV'
b'RcIzW/CW1IGOFgGcy1gdLe4TgN1A+G9M2w43MD+V9q8kzZlo2URSRpqTV3bpGHWPlspWw7oV'
b'KbPZI5+uI5IQqAIIJ2ArCIIIpiZvT/MSEVEHTQ5vTAKwKy1ohGsqGiXUGhqMSmEIIBGUkXg0'
b'RouaHHXbeDs8WDtlpOFuYgokGM+fI5qg7eYlDRYAJGct08EJBMZwAijSMu+2mLdCweBWlF4p'
b'omKiS+1OwUKvKCECZYhYEFZE0staIrGYx0EQG6lPeiZwpDkCm04l0eyFklTTUWWV+XbgoRzx'
b'mJKBs5FXiwjsuh5lf30syeAKx1RnQZJ935OZmElEtkywyDYLQfLLagYthAYkAz0Z1Ws4otaN'
b'R3WvGJP7RqVqKaVXLZMqeloYOR9p12Fqo92BGIGDQGhIANCEG6m+XC7NLBJCLfNvFAAGMCI0'
b'hQtQymJ568x0awyp0VJiEZ6EcevYI2j5dZpvfd8EIdMiGlOsnqqIFFGY5gymwh1jeMbeLsNM'
b'KhjnIqZNNpecvUZTCQnDCSEDokjlQ8pZkxhDMt2QJOiJg2eaqtmpbVQxMJdcRGAUvdLKJWZM'
b'vj9CzWz08rfZ93l3SrfdO6pl6mxLDtCHiKRiLhU6i7QqmNZgbNb+xRdayuXzi/w1E/eWUliH'
b'dSkAnGEK0ikQ0zyhzXTZnUgz4Nvp6em02dvikTQuFUvIowbRGg3vZJfdEpGQG7gA3aTsCQ/b'
b'KeeWImNG+P70y4zt3msTRwYCAOlNmJn/uhMIu/PZjsBxWc/LvP6XaObXN2J7tO94SVPGjYre'
b'0JCy/4ZjXrYiAu5747djTIsH6LEwnhrefNClePKH73z0xZfPN2taf1aLAhCvnao3yaSMKnY1'
b'xogiHIBSdMTog2RU51wykcyTLiDULLlAECIK0Un5F01sQEQYWEQcytRVsI1MSHArSx2Ogwgg'
b'meSFGVfXcrSTEmk0b1DHlqfd7OHp27iMBYRmPc2zWxUQoMBAgj6kxqxuhjx/gl6DwWAIkSnB'
b'I/OEBRSIssv3X1/2yD1JhkjLHttkiEevvnr/bKlny/defeW9Tx+jdNUZMWgpWkBP9wYhotYK'
b'G33TdxthZsOGkeF3efbkyWpBUhvINEnNVFdXNZicLNs7DF9ImBkdMQwSroxU+ZiokCbi4uEU'
b'ETPpGopaw9WbNrumqcckfGp+QCokYUQRSAtsqMewHtaXq06wqevNxcXF+nm6F6iaduX0zv3F'
b'6d2T0zt9f7q6HKwsS7+oHKw3USdq1IFeqXTXiDotexn9ifOYBBGpqQgw1XuZu1gwprA10QIr'
b'pe/L4rRf3JJuIaVng/PL2MIAIZG2TU/If93ifEzpDpnbdxzklygjcTi+9A6JWDuGr66QvBEG'
b'3SG/8sLCMX3aYVj8YRsO/5w+Jz5m+vOwJXntkHIerf+FDTh4tlUrInSRBhGZrPa4A70SRZrW'
b'pMW3pbCy2WzoocnpBynad6cYoUVHaTAmlnF613QPZjOrbCqG/BQ2WUBkh1GWVMoqIWlumslU'
b'2licmaNOc51u+mkyg9czv15M+j2J+djPR2ZWxjnfdc2fW09SVKAH4dUH98F9sJn9x8wynVM+'
b'ERGAqapHiBgFGqGNHOWhvB2W3abQzNbr6PrlxmuwbXZfO7Ql6EglbK1xcuv0jbfeLioiHBmU'
b'pup2sLcysfVTAVCsA3bY/ZzBSXQBdpZls2nMoqLnHGrr77wPEZNkpal7yjZDoJKfzaWJozAy'
b'a8zUThsjMabW5mrJY0JGG47MHDrmS9HMBC1v4UQ2MfMCUrFJCGliEieBR2WEA5q+k5xSUkwv'
b'UtWJMmeZWstZpzDbnul5iHFriIiIccxVt7d9RGRwn/qLyfy46xQ3LzsCwFV8/N49s8mWw++c'
b'udDNi8jeUX6ldvn6BvwUZeRZj/K4k8VNwB1D6vhlj9rmhxz5dY+Uz69c1bKXPXvwMifWfGpu'
b'VvfuFBxBAdretrtmrrLqYHb9uvlVQuYGFyohUYfTRc/Lp9/91psFcMU7Hzx+/MXTQcy7xSBE'
b'ZVF0dDio9lK+NJb+he0QDwCWIoTIUGsgaYOFaDhkdAxTKyKh4kj6CQMKaIR65mAV92lthBsC'
b'LdpAXZGmgxoRrgBCiqi4DBEBFtW0Zbome7ZdgzpzHxoHOdH52hwpoel36TSX4qntpogWsAYp'
b'xQK+SUdYQNUgyqAElQqRERhVNWICZrj5YrNU7IuSAzwImFgRJfV0sczOiJpXhngEihno4amx'
b'M1FJk0Vgh/WfrAHr6hmiuh42pRSHU6IUDUXqDUUIWAUgKmpoUCsTx58lFAFCCd2JlA4RbDaX'
b'vS16YQFjqBi4wVDQC2NgUMWKrWPlm7USdUjF5trd1+v1anWxvni2vrzwYUM66Y4hpJIhGqpb'
b'KlF9EHQlHMOlrwq53tT18/PL1cVzJ0rpzEq/PDk5ud93Z6Z92m0hUYrKhlJIYfXNZtA6eCbQ'
b'CQ6S7qKmiFEmgddMfpF+xWyOuU3+YQ5co2QqpVhfuq5b9GIdRCNCgwQldqhZAv6MnIRHEx73'
b'bf2TZX/OClxTxhv2bxufTfvANimPjApjpKVoawHI1zWN6s57r9ZxHDm2Rv062Uyye74K8xY6'
b'WHblyT3iP53l3NoyDCP47N6xfdg8cidF11W9OPLUFfff/GASkRl/qE0AAGqtq/XF4NX6DnCS'
b'Al0sTtLMIrN6RETmwYHj9ZiU3zfo0cRzJ0MTEpAM2BWDZdYkzmo7PJfnXZu3cH9MdgFLOLrv'
b'Z//njklTj0aFMhvIJzVYhzrk7gAagl9y5Ldu3VosFn3fr9ZrEXF3sX2MvmnNTCRKZiLHdl5E'
b'zs7OJiSfxrOiWUempr799rffeOOtZb8QkdSIT49DBdFSqU/rcL4a5++avtyQ/RsZXJuP1fST'
b'6ta0MtdbK0CRvDL/5EycmL9lfuTLrpy525j26hghnrgVBlpL5o1sjWcCB/kMOKFp9o7Vk2JY'
b'nbdhtv2PRLyQxMjQz987vvpIQFEbhF1uXER0zKw3v+1wZ01XXs4CsLdLb0LQMdKOY8L0n3Lh'
b'qF3Yu3gVUTjy/fDiFdz/4bMv39T9Mp/d8YbtMfNTvvFl23bNSrjJIjmss61+SFHdbFYnpg/v'
b'nZIYAu999OEQcDNXDVFrHpTysll9FRCGik7kXEdCn36iIkrJuO6Y0oWEewyVSlWIEs50p4No'
b'M6EImfqE1N+0fIchVJcwqAt8GKBFTQFxUtyRh1lzcwSASAcfbHGdd4Yo4wcmwQVpHW7Wc6qO'
b'xoBcjQHQWUdNA0kqlXRE2EgYBQBURkNQsyfcbPbaLBMMcToJTYz8YK0DSHfPtpmZFCO9dJ0P'
b'G4weuvRITHE7OAsxCtuL0l2sVqP/JTLKyt2Fk+5ERBJ++6plNw9yaw7K2KX4YMTg4XV98Zyy'
b'LD03F89TTbOhr6q7DwaPoZKSICnVh81mMwzr9epitbrYrJ7XYR1R6dV9AOBwGNh8ViRI9yqb'
b'1Wp1EYK6chdcbtYXwzoI7U+KoCxuqZ2Y9U5BrQFCVUtX+s5KP+mQIkJI13TFNtUiqFAnTeAM'
b'pJv+3mSJlGYXVlEm22SqKqXLeAJMdAxOBumJ9N8ijBMYjySnML6GezYNqYgk/t12Er9qaNPN'
b'n3rZ+ncPy61cMa0HPaoHvoLU3ITezo8FSeMnKNKEgT2WZVbtDo81r+qFvbuexd+2BIA0hnE+'
b'j/mrUWpqSlQyHkeUjLparSYnaQFEpF8uqBJImAUI0Jz006wZO3rWib+Z90VGN8i5C9O0qEQk'
b'U0+ERHNBg26z6u5yn5zSk08RRBNHe2xApvqPsgdzOFfsL7bAKGcDYDDoUR1o6nwGE/mnRjx+'
b'8oV25d69e7XWCKgKQ6xojj7JdGTKGblq7oKIiFLK6e2z27dvpy/QhNEdE6Q9RFW//e1vq2p4'
b'8mPtmGnCkgo8YjyzDj4jffmUmt9D2n/K9l9+b6fGLluSf9Y4vjFJjlxooJ13ajMm28brhGY+'
b'xEkAmE9Z7EiqcLKJExF7QoUCQKgWkltPa5KsbJr12kAgOJc0Elg5V8XW40Nmoubu9yNhPMcY'
b'tu04HPKK12zevKgHssGcMuy16mjZFwCuZ+YOKzog6Ak727RKBIUK7OzJf0UKma6UudnGTdO2'
b'fOzdeSUTP5MA5r8eHaivwIsf9f6/otyY+b058szhnTyIDTi80krSgkTauekL94sEMrxM5OT0'
b'tAIq+PzZZYgl55fYHEEVtcqW7e+lX0KwednNWh+kwskERjRFuoxSRMSKWvpxZFp1sdJwSqUK'
b'XFGbjpWaLovCyCwnCk2qWvqe5EAnaYQJIVVETGWoa6e0YJ2m7kLz8Nxt9qEjVrprR9LECJJF'
b'RVXcnQjNgAbWWjcmWkrntQHJAwgRjqso8agVUq8YtKvcHkRVFJUWkAAsQgUwmKjDs22VDkR1'
b'L0LLRIEt3kK0JZ+C+k5ft+8NdqIdzKwzLeFaKzoxQE06cEB4O/PFSSrSstscitLELIeZkKFC'
b'JTgMQ9ctxGXwoXo8PX82XGz6bmnuAroPNXwDDOExuBAaNV2G3d0366BHHTbDyn2ISCf84Gia'
b'n9Znf3qyvHt2uZEquFivLtxdA53VIErXoOMEpb9l3aJ0C6gFQ7tiXU8zLctucbpYnBZbiFj1'
b'S/chPNTSX7vAikaERAAiIEchN53ZRuu3CJoDawgFWvrS9123sNIHNOHmSQrBIOiI2o7LoIKI'
b'hvwjAKecd2Rz/pnW5KQUvBFznIfu9TrpmUJ0ToomWJJrj5urDtR9vckuQKQQRxlGcpuglgca'
b'+vkpvpWp4JBIXWC7MH5hCLmT8nZWXtCpvV5noi5w/0i6hp/YpZ/pzbhVIiCjCqkYLQACkLWu'
b'1xE10IfDRKFSSjHr4JcjR45wF+32+5M+D2MDttz/XLOr2gwv4z0yuycrT1IJ6pixG5NL1VyO'
b'PXx7a4M09P3Mgiwa2CUO2yjbq8uk4MwA17w9Qy11ColM7n+ICLzzox+/9/4HXdfB5C//+m+8'
b'9ebr9Nhsatd1k75/Hhu90+zdhqRPyHjPqJYujfXPQ2uzqb2V6qGqDqavfPrNAwAl2d3m2DL7'
b'PrrlBCWDgikkNJUGCGjQM+V8cHKd2Ftp+6EXO9qsiccQSeCFBr+QohZ3P3XrtzONTy4J1aYz'
b'ai0BGEiMo8nWRgKaSnOpkQ0bp26UENmSGje5qcmTIqlyaqrscSIEiKgyvjc7OfZrZzNO2jE9'
b'4C/ntHFP+N/buXsbvO3WyeESbaHvr5ZZtYdr+MpMwHNJ4iY6lem27St33yfXEPU/8bIzssfS'
b'tc7vPNz81/w5p7Nfjen/auVw3fxJlq+m1bu+NL6BToYhFotFvuPy8jJqAk+YWkQgIDAj1CP0'
b'paUNnW9VoeQVtX6IqqCpGoPuyuiKRbjAQU0P/9yE0ZiSEKTfDoGGniaMERJFFXBAghDUcGTE'
b'sKCQyiqsACIueykZ1UpYscKQGtG8Ko9BDzWsRSowjIw74F5AgbNW1HWvQfhQq0MELBEilFoR'
b'Gegn6bAU0mIbvnIZ6obJH6gBGMK7CKEHwiRkykUXm07E4ApN3xGPyAy3yUyXAxVrxtfTQyEC'
b'Rh20SDEuDBqDJAuQejtNjREIUcQu2FHsfkn17vguarF+2NTe+kXXrS/Pn3/x8WWEWSebjSAi'
b'vHpcuIeUOoiZSQyK1Bt5+JBgOB61gUWMRMDda62S4QHA2d17j974xvO1bzbC2g0ILUCRvnTL'
b'O2cU26xWPfT09FSsu3V2K/N3ikZwfbm5BZN+cassTzpditimRgiEm+ZUqmbWRVSBqUPUJ7Zp'
b'SxlSyhIKFWJigIh1nXUnVjozazquCMIZTjgSY9Ejw9KDnjqza6jNIbNywzLn3m5evjIVmjPu'
b'R2uTsWDXkrLD01xtZ59fOXqcy+jaMZ2eV/GsfJFKb9ajK1ty9M/xojQKJXTQshkzNiLDpoRQ'
b'CFURWK0vah1XgkBErFuoWR3QhSga7DjaW3a6kwJAW1cHPZ2PzLy1kj4zIpMFgIJkr3dum38/'
b'lkBzzm7NZYxrGrB3wyF3RHKMBoJ7pQ8tBmIstaUTlCF8fTm4+/n5c0JFMuw45zcgiKhK+Mif'
b'HhYRcVCKmRkjswIjA083dTCz9M9L6pH3DzNymJw2Ww4QYuJatTHGAkRMeRwUIgITFQAeU/Rj'
b'wj+lfaVlMm5KnAMfmLHdO1M5XjVmiL2Mp0TKBrPPtC1Pm3HHh362rdgUQBmV3Pqik3peIGKG'
b'7Vk0nzsAc2ic6eKhD/3YxzLqOneWwYi6s92z8/4eau73+MZ5PbiizB/B/i7euT5vwN49N3IB'
b'OlzlV5V22wGv/7NgEL9aGW0TyaIB20HJbPbbOw+p5FXqhOsn8gix3glBPk7N90bwmilIBcDR'
b'n64q1x0hN7EPvCx6ffb3Zk/tHsYE2HdSn29OOg2iE5izE+27flXdY9N1J4PCMzxHlfSbC5oB'
b'aCK7zKJpQXNgqA6IahR6qSuB3zpZnJz1fd93XWehFxcX5+fnF5vNJowwsRM25XtQAlSXAipk'
b'rSShMgYYZIitIzFhvKMvNG513cnJneVJX4o5Y3U5PH12ebla16ghxVSj4fFsZQAlIBFNFz9i'
b'DiEMCqBwY7FBuAr7pd25c+f2rROYeujTp0+ffvHkcr2qw6ornXe69kFUW80N0xZIj/irrZDA'
b'dplON1hvAW4czYuHDjjCS9GuBVjjxNCLVFZNu3B4qKlqMGrUBE5IRmtSruS7Uqcz1DUQvVGw'
b'fnCr+85bDxYnZ6e3bq/Xw/Pnz1eXm9WwWdeqUszMK8YAQG2n2q4mOsUnyxQfSKYGjKjDRVx+'
b'+vo9vvXGG68+evjo/sOnT58+fvzknffe/6M/fvf5QJWluwTTfpHyk2dkraDSldKCGUDUWn0z'
b'0Fs8+q3lrUePXl8Nerkhh7LyAR1CpfSdFqNYXa176GKxEItuuTDtVPViWbqFlt5Wq5UQfXda'
b'Sg+g9xrrwWvjHcRUwyy6CMImvVZik4+LPKfMhA5F4nuUYssEJ5nCeyLdl1nhFSQYCXHGqIks'
b'FZHQUpmxbEfbdNWyudlpkg2IK+7cuuzNb0igrq8cQ0aODgLHophEpHFjIsCV7T9k0PdOhIl9'
b'nG7QMT8zZnwDt8v/+CuuacCOReLq27JbaDaibSPHP0dFNhu6EBowrmDcQSJi4Ga13tQhAXhC'
b'gJBSipYuonlIJ+Qids+diBBzURFqROic4c7XtTGZtIqCKbB4tCmparrUB0RHfPepxLHR3vY9'
b'A2TmkxIt0EUkjQJbrKfpqcMhnbOeLV9sRh4H4THB/0VEYAtOOoSnckmVTZiJIGPu/TjZMfaK'
b'7LbKzE5Pbjm3zugkTVQhzpZeS8SS9hYrlG1f5o3HSGl3RNNji3Da40fW4e4FNsNRqJTtWHH2'
b's84cY2ZtSAXK4VE+ufnuNX6/I9NaGjfD7C37TomYTeLcof/oLp71QiGxRQ3c1hkA3J2zNT9v'
b'FQ5W0XxH763wvTUwr3P+5+yG9n1PGNYxsd3e228aA3Azqg0cmBtu/uCfVNky38CEUbBf5uM7'
b'X2pHb7vqqcMbvkL5KWs4SgG/3iLSlMaHcsUNZ59XIHUI/a1H9++enfSQWwv0AgAP79+7fXan'
b'CqUrDP382fOPvni2cUfpvLK83PmvsdWuNJWwi1KggqJQH0psHt659eajh2dn4s1eCCHkwR3B'
b'nVXFB59dfvjZkw0rm4Mogcn7P7uReSGUMcLzCTvVcO/UXzk7efPB/btnhpH2BaD3Adz98gLv'
b'ffT5ky8vq3QQODRdWRQQhGyVkds+C1sQr7L26vcf3v/GW49OSoM90nzF6/dBfPzp0z/60TtP'
b'zs+56EXhQlAUSGWQjtbcmwQAzCY9YqAUK0C403256H/ujUdvvPoKh82dWycdBMA33nj91YeP'
b'SBcr6yrvfvDhp589rmApxSNIBDhXzkw2CWUEvQhM+Ge++92/9Ot/8a033tgErOVoWApuB3A5'
b'4IOPnnz82ecXm+cm/a7OVkOaiEgoG/qnhMDyqAIWXeGw/tbr9/7Kr/5br77aZ5CmjlNP4LMn'
b'+N//j//zH/xv/+jZar0RJUoe7UhgH0nc9NT+J7cUmYkz1ZwRECsnJ7fKsu9cWO3Eq6uzoHQL'
b'CigSi+UC2qlJIZRmJW0jqlDV9XpdK4p1qoVRfVjX2le/DNCoApgxIiQ8SIQovSXaZGbsTHRO'
b'AyGmokVE1DrteiudaAlogBF0d0QIK+EZEE4SiOb3z51DDoCOeYXwdZC+w0rmhwvJ9PWd345j'
b'TMxPX7ayTWJEzISOqzjC67s/daQd8Lyy4GWo6PW/zofusM5DFiQn2MgM7GGLqGbiPkWokBBu'
b'NqsM3ZmeVSsUDUpjY9CUsqmrmtrZAihbY/YJN9NrrvHhMxMEtzeQLb8ht+LK1ndr3lPOHpm3'
b'gd4U89PF6V3zP7f3txk/7t49vSIiJDj5qESEu1PgpDOCUCnMUCXaug4iKlYksWbnEymZc2O0'
b'4B1MayklIjZ1+PTTT+/de7BYLJxCUlXTa0VVI9YkO5UhvKl2qBiBM+ff2QJhm/892bD5rmFp'
b'tqtlZKgOZQNySg64z8sewqjMx1y4Nb7N69+Xn8ew7D3mU1UxRoZsYXNGAWA+v9N7Y0wXvTf7'
b'h50SGACVnWbn2miiaey/iDNGXEbMH455MKY/D2/Ya8l8eU/jM43HfDz1GB7rvCMzsWx2dS61'
b'7E0YjtHWuQwnmmEAIqJklWP6kqNt+tmU/Y1KcsutJpQ4Sfp8oR9+mSZmTjswaSinkWneIPvl'
b'aGfHnbMvgYx1yvzCzFI5vz8n+8iG3NZ27OS4yT2Hj1x1G+cACDcre6T2aM0iYuR3Xj/t0bw0'
b'hBDBnVsGGMeBun926/zJ4+eCjcuhUe/FLRnbTxIErAtPV8QBPpxqvP3mozcenACouwrpZKYX'
b'BW+/fnL//smPfvz4y4sNJdHoEaQV1FqTQCTUuoyp7JWgbzoMr9+7+5037xkag57Opxwrv3uK'
b'0+88fOe9px8/PidEUMYONvOrENQS0Fy9ylCEAUAszB68/c1XH5xmg2VcK7kbVfDWo7sP7//q'
b'//uDP/joyRd1ymafUW4RBKlCBI8oQ7OiHUVFuxgooqzBgIqq2O2y+JWff1uBgtNCoBIqr9y+'
b'RQGJEGyA5dnPf/zpP1az6i6qmWuzUeERFT4YJFRVsOkW5S/8G//6977z7Xxrr02Iz2NZgGWH'
b'73zz3jfeuPe7P/jxs4uNw0yEoFPMFBE1U9eTCouAmbp75lxUiMTmz33vG6/dXxbAgQ2Qs69A'
b'AQrwxj38zX/nr/71v/prf/e//m//8IPHF5u28J3si9VhXVSaXTg9mOFdJ4zN+fmXBCB4dn7x'
b'5Py8stu4SJQAh1ijE7U1VByUkCGsE0W4qjYHMLUgEZYJiBFCotbmyVusTw21qkIYYWDvLkR1'
b'ZzETUyYGaCCx6CgAVbSUUrTru9KbdZKpjlpsBgPOaK5hEZW1NvGWLkFrKFRtw2LkaHP6pkTA'
b'bb9Pm+6mWqHrUMWOHSI67qTrypy2N0XjjHsTkTQsxIROqIoU4CAhyJCk7KlIIamaZFlFG7Pb'
b'aLtHZkjYa/D85ObsvdOxyxmzrqqc/bTHiByeU3On+elde8M15zOm2sY/p6M8eWpBJkBRDRFV'
b'TL40qg13OFhXq1ULs4moQSnWL08uRixIMPq+X1Wvtc67qS11buy1Z/I4MjNGQ/VJZGSSkshU'
b'Y7j2NBfJmqtqcJu8SUQwg2jkiPU3TQFEMmxARDwi7ZAi4pUY1aj5LMykSqtngp/fBzbNL8wA'
b'XcIxY9GCY9Lf0UMmkTfX6zVGcSitAVZkUyO1yKoWccAkjOHR1YPkw4cPV6vVl+fn/WYjCVup'
b'2xyv+eWyPZkniB7DtIkR6yZJKdN4sOWYR/Sw+eZtLjZb+a1M/eWkKd9dZtOg7dOBWQzxvKfz'
b'Nd8+tytF9r5c/+cLyc6u88pWKJ020VW8yuyvrxCH+NOWF7FeV/a6XMObvtTrrxmXw5/+pLj/'
b'gyKBuSw7qlxFdrzsDpvH2VNHf/r6W3qtGf2q8tUac5Pz+GYH9ovLIdM/bq3j9z9+fHnWm1hZ'
b'dHpiAHAxwCPhOH1Th4uN11oVxbSImfhVYatXtKcx3CSEEI8MO/OFRKH/wre/cf9U0nf/yQU+'
b'ffzl+bNnJDsrncn9e2evvXJLgNsL/Nmff/Avf/TkycWqMkMSrNaNqoISTXgBMoUQYBJGv3/r'
b'5Dtv3ksa8+Hjy0+fPH92fgng7NbytLcH9+/cOysF+Llv3O1Pbr3zwedAKCyAVFfvAQOl+X0i'
b'X9/57jdzIJ6v8MUXXzx+/Phi9VxVz05v3b19++3XXimGRYe/+Cu/+Fu//S82589NhWKJYJSK'
b'cAojqKIvs6g0alVVs5LBr5eXlz/58MnDO3eEcdbboggE5xd1E4wIsbJyvvfRxwAiwoMJtGSi'
b'4S6JJ5CrM1BUY7NaGv7qX/lLD+6cpVTzwUePf/LhJ5uIjUuAZ7dOXnvl1ddfOyvArYI/971v'
b'/d4PP37/k8chJcSWpyfruu4bTDilpZoHSROSzhiWnf75X/75B8smg/32//fjf/RPf/fdDz/7'
b'4tmJe8cVAAAgAElEQVSz05Plt157+Bd+5Zf+yq/94tkCb766+Nv/+X/8X/yd/+H7f/TuamB4'
b'dF1Hib7vN5uVmU1ezbnUq282q8ucqs8ff/LHf/R7lcVpIkVVpETAK2Rwr0GBLaR0UPHIaDyq'
b'lG7RLXqqBOXycq1SSimQcB88BozBayRBUbUwSgSEpaTmVVXhoChUommwtMCKmpkWsaJSGkvq'
b'GR0SEp7cQGaTwSzbyVQOCYj/NHEkL1G+sr/PTQtnIP1JtFRbLtStmJou5jLjuwEcKNRe+CLM'
b'CPicT03F2nRlLidMN++Q0111zAvfvv8r9ViW8Jz6HUgkkgaJ6uthCGT6C4N4wkmBjZZkmbxf'
b'Dl4tbBE+V6kqJ8ZxdjGhXcdzW0bLwI4gNCvhPhdN51Mz51an+5Ojlf2J2FFgk6k+2gcymjpM'
b'tsiHWdG9Kw5GhI+RsikDlM62AUTYrj1yPwwse/rqq68uFotucTLZHCYvvv0Bb9dlj/UfzSQT'
b'+k00T/VjLhJXMQMyD5bdvvIIr78rc05XjwgA++3P+eV+Mw6fkq2Uft1tB08dFwDm9cwb/3Xx'
b'RX9a5ToXoKv4Qs70EyJ7toKtvj/tyPozlIemML5rfs1GzX3u80+SnPsZY5cE7xHi+fX5iOxR'
b'hBdeubKFNyhN9SIt8OWwDcfo+Lbv2ytZ255l8yt7arX6X+LZZL+2f7Zo2VkzJ5KK8ofvfmas'
b'Knjr9Qffef1uAO989Pl7H3/WSxHTaiZaaizUStBIkZfLUBYAVEIhMQLGiYjGYHH53W+98fBU'
b'AGwc73z49L0vLoZAKX2tVV06K1988OWHn375Z3/hjRNDUfyZt+/9899/F9ZtqCQXpiTrbBYI'
b'jF7LYfTXH9xL//0fffjF+58/3XBBPUHExbPNUuOzJ8/eePXBm6/fduL+3fLu+4nr3pIccHQH'
b'QuLlHVtiDrz/yfmP330v3U/XQ3isnzy/fP/jT37y7vu//Evfe3B3EYE//yu//E/+2e9cDKlb'
b'Q0SYICxPtrQe7IVw5Uk7TeVs4gS6WKzXA+EU7bructj8s+//Xq8C+p/9+e9879tvBvAHP3n3'
b'nQ8+rLWWUgTdxcXF4mRJSQcSmKTxlMEwLU4WtoxVpS+//ivfe+XOGQAP/L3/5Te/+PL8/utv'
b'a7+wxYmzXp4PT5/95N135Tf+/PcUOCn4M9967YsnT1cuBDeblRYbLSKSJx7EyDBVRD0t/N7b'
b'jx4s4YGq+Pu/9ft//x/+3+ebRdhZd3b3IvwPPue7v/V7//Cf/sHf+pv/9s89xELwn/6tf/8/'
b'+9t/5+On54VYV1dVAVOPLhIkFSaizoihrlYX+fonn/3kx3/0LypEtQ9Hvyhi4aw1MFCdIKSg'
b'dKKJA0USKtL1ZdGLaVDcA1q6brFcLruuMxPL3ohFBJLZD2PpxE1k9EsmbCTPIhYCs07UVHXK'
b'S0oy6B4uQglSAiSjwgNRW2Mak9S4r+v5y59ZUeyKGek9npu/RaDskjWO5t/x/iup1pyFmnN+'
b'c9o1KTJ19tTeQNyQqF7NX6LxgDOOf+/7vJ5E/rlmOnY7csCdYps5GAmHcKRVDRA5eUmKDMNw'
b'eXnpNSYUGYiIdU0ianLp2PJmNDjS+HxephiA2Wl7OD6NiZemxVPVzJheI0KnFG3bBw8mcfx1'
b'9P8BQG3A09y+eCtaXDGA2z+nkusyA26aw32bRT3MBo3RX3zLQk2MJqGqNXZ6zb3bqLW6WFf6'
b'JbANuhjfMh/kPDmSyc42bv8xJ799jgbMSem/19mD0Zh6Otf5tl8lUpWDnTKyXjsOmjIbc46N'
b'2XmLNfyy8Z3bavdIQdunZsfee4x9Ola2jESSxt1KwNFF6ublZ20duIrgXLVubxoDsKevnb7w'
b'QLCbxOvx25+KhLTP/Y/N5sztZ0tc9ujpXh+vuX70z59dEdnmBNkrL9WG60++f3WE2iCADto5'
b'15M+NaygX6wqQXNaOJbaZU5rVn9ZneCI0eYq5gIgBCFRX3tw59G9RQRU8cOffPbJs9WABbt+'
b'HbUsTj0SGK1DjR/84P1/7RffWhYsOnz32299/4/f1cXZ4BxD5XQipmwuBBCqBO+c9go48cnn'
b'jwcWlhIwqBXt1utLqP3ko88+++L84cOHT5+dAy2/mI5SHEVbzO7UFUwwoBrAH7/7+eeffbF2'
b'ekgEpSwVZRguzfTZZv07v/u7f/kv/LmTpd7u7c1Hr/7o3Q9pBplSQQtJUZkOgBcusLwhnCHo'
b'+kUmxuqLkeoiAtlAKuDAOmqFDNYFpSAWJ0uostZixUlTSzs42vntgRChhr/5xqNXX3mQC+N/'
b'+vv/6w/fee/2w9crZLE4cS0RasIhai/87f/nB7/2y9+zgtMFfukXfu63v/+HYguIKJEmfqYa'
b'TCBjTmjh8MqDu289uq1AKP6v77//Bx889ZNXXcy6BRGL085pl772Ovx3/+M/+E/+w7/x6DYe'
b'nOE/+g/+3f/y7/43XXfiKBBzH8YclWZjPqEcwKhtDOvm4vn5Y4qJGGusL1UsgAiUgDiMopW6'
b'IeAtylZM1TquFNTKIARqXVnUW7fPzm7bcgntRuprLQ7FREla8/cZ52irZjMRs6KqI0un0TIF'
b'V4mQxMh2x67H/zgvOzgz83PlkF37usphnVetTB5oqXAt3Tt8MMvksIGR/Qo05a5y/zS9YbN3'
b'j5srm/TV6PBRweArVDJJCMlY6xgeLRQIlHkUkfCom8v1Zgg36ZwhQgpK34lYoqeL0sRGV6Yd'
b'3iuZ4z3d6rwjeNGRNK3Dw7lop7yIQeqMe56vUoxs656qOFrO4H2T9cjUyKjKkXmnDts/9XG6'
b'LtOdIor04qsRoaPBYXIEaq7hnHJOXzen+brk/tOLcm/NN268jYEffMbh91GcGVt+4Bm+y+jv'
b'j8DePfP2TK29qi97P03VHqZgu2Y0rrrnK++OQ6nvq9XztZebHNCYy5ZT1NYNX/BStceonpwN'
b'kP7U5to4+HfNndmgUIQSElRSIoSevnnSAjZbGup5DNDOvkWSwOYoIDOb4FcsEtfk9ZiX+SEq'
b'3Lf67VR5uAqpL4TcmUvqR1+93+YbtfyKedltzwsHULmFmXdupyarcPeh1q7rEl7CJLnOagpT'
b'fEUZOwSTTZ+1V756/24BCPzLdz99/Hy1YQfpmtrYXegRYf1iPWBA/4M/et+JGrh/x85uLSsD'
b'WlxKaAdN9J6m8LDxvFc1KlSQYZ2ZAlnoUTcRoX0/oFQ5Pa/67idPvlx5iEKoqILasuJm/oC5'
b'PmZk/Ql8fl4/ffx0oGh/Aiu0UonBIWW5qqyqF3X4wx/+sDoEePPRawUiMTn7tjWgOzFOR2bn'
b'sJA0mNRqERbRqRUttSZWhwkyjsEYolqo5pQANpvaAOmrN0hBFZg6m0OXQkz1m9/8Znon/OZv'
b'/dbv/eD3K10sghuvK8TgMcCUopfOC8f3f/iTiwoSj+51t08XKp4xdtMRMsV7KSpYi/HN1x8J'
b'UAO//6PPPnz8DIvbcnL79sOHZbE8OztTLWJlcXb/kovPN/Zf/fd/79MLCPAbv/r2N16/H77J'
b'pBCgJjiPtCguFahqUSlaSjQNW9eVRSm9momZiJh1qr3SJEypClNVM9Eipej0rxuLmdkYuQGq'
b'oFPtVXtSVFVMU7OnpbOuh5qWTqxo6dR6tV6tWOnMihYTLaKFk7q3QfsHIpAwoOTkkIBD+vAn'
b'WnT2D9gSk33KM1I2BbTFtrz8GSSzgllAPOfu+NsEya7c82GIKWSr1aKUWTboa5l1zhWce6zz'
b'kbtn58XEaV31yPXTxxFHaKpzHgg0HxCkOTC4Xq9zV0VEbu2uLLAT0bj1vRERRQuIIkl4sOLY'
b'uppfOdqdox2ZD8Xhs+2naEOkqhBJKi1jg/dclQ5Fi1nRlk18VsIRDvoWIqZlIDkYwyxJ8UQk'
b'xghaAH3XkZyiJnDFYV0jqbZkmnA1tCwTErnYREkJSiThFuXOgT7+k9lP04OQmEEZ76yuvYsY'
b'uRQelIndyn8mOv3LDGV5ju/9i6gR9bC2vS0pLyrHpuxIyXU4Dd1VPM/hEj3kSts/iaP/jg7+'
b'df9u3P72BX70X9Z2+GXfJ+QFY3SFCvyFTx0O3M+8jIr/zIFKck6qr2oMr6PIY8Uvs7C+9nL0'
b'1S/VJDkmxd6Qtl5VXmo93OSn/B4CqIVl74IZpivsSvHKiEg+CQAQOjtuX6LlKQqLZZyVMARx'
b'uuwSlmft+OCzJxssXIqqslZJz4fwYtysh7JYblyfb/DeJ19mGsPXHz3QcKHPAN2aaVWTrwIA'
b'cSlPz8MBA9549ZVlh843hX6rVw5rVlctg1iVLmyx2jDEUtOlCE0zRbPeBhBbOM4xEdjTLy8c'
b'EqKbIXM/yjCsrQidpfShnYu+//FHmT7l4Z1l13Uk09fcFVSZc/83md9pIZkJSAGLqdeBZCll'
b'CJ8yASOogIaEt/zzmb5+GIaUheahmaoqQhWenSwf3lkA+PzJ0x+/+xOqiGn1jQjMMmWzrFeD'
b'i0i3dFt++OTZOx98kXmG3nj9FQMzgFVVM/OxMJRQhAqEfnZycu9MAni+xrsffrpBRzXr+1o3'
b'y5OeKtZ3puVys7HF6WWUnzzZ/OY//n0AC+Df/Gt/TYOquq6VgpazF7lumXCCZlZK87AXka5b'
b'lFLMrFv0pevFOtOus763flG6RemWXen7frk8XZ7eOjm7fXb7/tmdB7fP7t26fe/2nYd37z68'
b'fefe2dmdxclp13XQIihoMRRZTERoKqqhBjFaES1qnVpn+a8r0JJyM3Y4p0hjKeENu3yX8u+R'
b'i+v/PFp++hPh8PGvXOHeg4eEaO9741n2bMIjguTRZ+cM6NfSZuyeVnv82eGVG75oWj37MsC+'
b'OnkcCoDkZrOpvmVeRUSLZWaOOd82B26fN/Ia1uKl1slhzUDTVsxfNOngt8gwuwfinLmc1xYR'
b'TAFpV2N4dFMcbZtBRJIPFh0H293JLbdHsohOqRXkCnevLGaWxHM61iN2sESxwyVnO9t7rmrk'
b'nHu+ipOWK4oeK3ubYm9PHa4BjFtsXsPRZnxd5YX1/5TE6mdaXqpte+P8Ahcgvsgh5FrSrwdJ'
b'PLJc77v/cmU3i1OORW77Zu7DKN7tLviWnnNbz5GWNo3zC9sw7/VWHbsNkEic/p95bLjMUG+v'
b'vOHYhFw5xYcC6JWI/nGNLfv6d3G0tMjMwpi0ilBXdQ6dMIFItMHUpAGxeBAiVdipOlxMd30K'
b'X1woGoIOFjG0FiLObt3Onv/4oyfRna6c1pkM6xO1QbQOdVEYMSy6ZQ0OMJP+o8+/fOO1Ox1w'
b'1nUn4pfOECJCMtFNw9Zs40TRDfX9Tx4/uvuKEN98dPt0aZ8+fv702WVdxYmVKnSnloVTqlMX'
b'S48QRGL/jwOe2D4Bak57iE4WgNVmHREipkL3wUxOl90wDBpQK6th05nRyuPzy1fOTggsl8vn'
b'fulCCmIML0gMkGvoyyF9qIl0gcSysIjISII8qPJcMiG9ohQzczoavkeYWNf17j4MA8oMEUWF'
b'Effv3Usr+Xvv/sRrVdVNraVbNGO3Y9kt13CGriJEtF/e+eyLp/L2/Q64d/uMUUu3rLX2VoK+'
b'PVkbxYh7d05zWN/95FPplnAIotOQXiCDB/pu6eq9mMe6Mjba/ZPf+f6/99d/CRW//Avf6/R/'
b'3oQtFyfD+jLjKBLCL5MvQ90kbDQAlaJ9Z4PQKZCSRFlVLF30RaiiCjH1KGJ91/eLxYl1S7EC'
b'ttR1lQGEdaVYL6qj5xZIDwFME+moJcSZ3GKlOaSNfJ4SoGRa363NM/UmIBEuzR1CSIlRaSQy'
b'BWACAKGE69Wc7g3Xz7Fy/Umxr6L7WrgE8iA12IhpIypTlG1ETOIT9n17ML+OtpH2GZ35Pa3l'
b'qaI78JeYd3CPXSb3Cf9RfvorMDGHbG6rhwC30car1Wq9Xkc5SXgZESmlo0oenmSobJlU5XbO'
b'pm6Ob5mtH7RgHRzcnD+TDfFTRr+WiVPEfrVX6vvmZRIMtmt7trrmgJW7k6ipOAHTlc7GDK0G'
b'QCR8qnl8oL1CWutbDIBshaX1evWHP/zxW9/95VcT49ITDjWf3fECnvDmk08e+R/u8vcy7wuJ'
b'MdnLEehVzM9oUuQgW5YA1/jURQsCnsZzUnnk5E8jgJ3dun3LeGUrDl3TwqmGK9d2Zn/Z+XHe'
b'6wMO5wrXiauoCm+spG/13OCeuYE9DuvfbeFPKZk0AeCnIZrTs1dUomQALqI3QGnciUyf/KfH'
b'N8V24Y7LNzMTyijlz+7ExP3nn22f7CGOjS0/SjF/xuW6cNWjpB+AjL5900874seLXMFeaqK/'
b'rtP0sA1HapW4enmoiE24ZkJVqpOJ1SdFIQIbYY9HYqfELCqtlSlLxvhnw2SgirtY5BqV0+Ui'
b'g6Q2Q1SYaB+ODqQPol0pxX3VtEcihIqUja8rYcDtE42IrlsMQaikUYKkwLgNiFFo9+xy/S9/'
b'/Pi7bz9Q4MGd0/t3TgE8v8SXFxfPnq8/f3a+ql5s6W3DC6EhLf+XznrR+rJL8t29lOJOVQDm'
b'w0qEBhLitWqxwaupXFxe6tkJgL7v+XwVEaEEKaqQhId+ie0QAlFluFqhDx7BELOOJMPJyDlW'
b'hRoq6Q5VpaGlkVK5vLxMSSHGSDzCSTD8zp3b+ZYvnj71hNJuOjzUGl2nm80G0gEopbj7psbF'
b'sHGHCm6dFjPb+KClF8Fms2mOV3lKhYvE2cky8W6+PF95pHP8ZV/U3YNMyaTWTdd11b2Gi/aP'
b'nz45P8fDU7z26m1GlFIuL1eldEQF098/QqgIaUgnQcAAK1J6E5SBzFDL7Fph15QFplpEtBRb'
b'oiy6siyLZbGlqIkk1j8KHKAqUsUQQUFg5IaSw5AIUswkFX9kACaIDCCJObNOMgISwkRUzHXr'
b'2pg9kkFGLou9uPB8T3On/hMhMj8jKn1IPxuvpvOBGtFJM350dG2nQLXsEOcD6r139LS5mp3x'
b'Ey87f2r6cpTX2eOhj3K9LxQD5qcJx/AGiiLY8ABISEhmXQhOrHlKNev1ehi8MhRMi1cpRbWI'
b'DeDIhAmthaIc7+m+MnG8DQ1Zdfu7iIAJWyktkrR5L+4GbIzC0uTsl3mJm0sAfe73T45g0M0l'
b'eI9DvVLn3R6Hk7rnMBMjKkUKk6PfWKZSDsn82+OAI/lUQVH7/NmX//y3f+fWgze/FaQmOkO7'
b'Q3ZXqVmLmMopUlVSZ/060NzDpMX22u6PKbnZFv+HIg0AdIcfS7gmoVBi/NT8zKg9mfkUzNdt'
b'TuV+tuYbeKkdvedFbGf7KXC42icF9Neikz3kV6/mYG9WUphPBqaVKwS2lyrbIR1rE+U+WCx2'
b'hbObkeaYdikONraTuWqDPqmdMEo5+2OTRwsCRGLozlGoGGENdrbp7bKqQGIXzlD5W1OaEx53'
b'soruA9gdjsB4xfd+mo/FfGTmT+4JGCKSurRxVGdTSEKulCDz7a3NMr1dSWLMWjo/OdpekhDZ'
b'BsrIZBNo477/rlFInyuxZvYK6lwlM+v83NV1X4KfXn20X+30GKWAXZKfdDrrpFHQoC0j3Rjz'
b'Lod46tW9qlryjuFIVBNAonpncKdahyqT50lENRMKRRlQd5qZyIaUOnixhTLfhWXf5cYd6gZA'
b'MfMaATE1qjhDtfNkp0TMFO4FrCucnUAEFeYoIVVJH1N3ARJiSKkDCddgHz85f3L+/JtvvPLo'
b'wYkACtw+we2TU94/hd5/tsYf//iT83VsKkLFQSVgYky5IjNolnQGCon0g9L2RktwwhAECDUk'
b'A6fiKQmbVR+GYdCElrOOasqWRaal4BnTR+3MH7b7F6PWeCLxToFqBBWW5xm38y0YES1VFQHV'
b'IuG5ap2AROkafItRPWpu+HDvzE6XJQAHLurGi1ZWk7KpQahpR4qKVToQHiiqAKX6Zr1enC6W'
b'gBJFjZBhPSy6RQu8s9SKQ4lF32eAweXgAOpm6Kx3p0Op5hsvamYWUTebTSlltV4Xj2fPLh/c'
b'Orl1C2ZStB3nUGEYRALOIESjDiYGaKIAqarAQouJ+WbdlQLA3UMgZiKFglC10ienJSIqRa3A'
b'isDU1H0QtVyvygReZNutUnTLqtqk/yeJBupqDIZIpvWNqG02JUjPTAEJs5uM0hgVkD5hZMt1'
b'sk2ymZlcATEVd4+oZGDKFzYShDn1mSjOV+D+t905dv3qh0JE5361aVCaRwbs8CtAs3pIhkdn'
b'JLUrISoSNFUzC4ka0ZFI/KV5UYNSxLc1h0gIPATQzLyUsbQqEWOUBUWoeaZlS9JyRmEg9uwS'
b'HNXw059HhYRDqYAtxdIRcWKHMKtQlJkqmomVKy7aCABdRMx0sx7Ww2YTnnkYOymmCw2pQYgU'
b'EoxlX0wY9CHGVaFbrr3WKhDRkq2cTWWM8cejEAVXKZ4WYB+0iLuLFYgMHieRyRgw76+MyELb'
b'MrvBVAeniDBg2jUQLQCE5gaLkKYVKYJaLOlMo2mBAFCoQm/u60orUofMGFAVQqgjKA6DBpqh'
b'QrUmrNwQwzB0KmbItF+ry42ZPf/ymaXSEkapTG/PIHPlUgF4+KLrNsOKULXFMAw6ujYB48me'
b'JpP8TK5md83k/+e2ZQghKiDDNRUFaZIHAQYyhVgokJ9On3T7O1tAdt4EuMlkiwQEPgubGbch'
b'MeMSxge3v+3t8W3Ch4NCslGdwx+5zz7N7ZkvLDOeUFJBmbQkj1Y2AVn0wHq5C969I3/u3Rmp'
b'6xvptoiM1HtO/Q4dHhTbXbzX4EmAzlWhZNwUBeirlVn30kUkxmGaUAXmdweaJE3sfG55dCJ2'
b'as3hmI3BdhxvYJo5eoQc7cU1dx4b6OtUNTvVYpTGbloCvHLK5mftjSv8V71YYzGPrxahJbA+'
b'AEBBhMiUQJxkgJSWNayUUjeDlDTvhllfGSUVVmpAyxEBangG7CZx0eoeZLGu1g0QprrlekUY'
b'DsDdu27MF2udj+fyXI7ftT8oRKPI2v2P3/vs3Q94dmtx9/bpndPFndM+Kcdpwa/+wqOPn+CH'
b'7328hoia05xbOdK0211UzS+I46Zg5i1tHr2Z7WB7N8c9qDPCNAP5fOnS6A7bd7SJEwjTpVUF'
b'IGqtQ61ivUemLduqSZqJA4iIrvQDa+qx3X21WinuBsCQziwPuaJpBE+WLM0d2qlEeLiflFK6'
b'nsQm2WskKH5pYNWWhKj1vNaq6BwoJqCXziIGijmD1K5Tr056M63UTUmIna5E83SIy9Vz1YUV'
b'cW+7W8RUAUJLZzG6twHu3vf94AqxxeLEfRAxLelFICJCAbUw7fqqGUQYAoM1s5UVTc5SQgkR'
b'CHeSvV9FBOb6OcjWQgWJ1PEDID350V2maa5FvvLQxS5Bvua2Fzb1pykvW+3N6XaTkWearpFN'
b'SabRd86n5DavVVLmvdO8zJn4USRIBdZ1etAJyxIjY7rH8e/df7RheauDRgosSIBBYUuUHQJT'
b'oVMbwQSAgEetdRiGiiAhGetpZmb0hEBIWz2apW93kK86W1PlkzKowObZCdhyc287xWOjsx0Q'
b'JXwrUchYRtDUSUhozv3z2IBpPCX2V8X44PSnk+UwajYFKoFQDAmjNPq0q9p4uokoJRCgiAzD'
b'sFgs1pcrd+86qU3lEo0ljHamUGBmLaEydjIrj9I5p2lN5Yvs6qdTkUS6akp983QKBNL4ACVD'
b'OH2y6XBU2dRH+S+A9H9SwMlDTXhqQ2284rta5hjHIgAzmz87lXlSjml2jq6fo7/uLInZktnu'
b'i2iZFo5+KqR9V2mpPzwacKxQcvUn3RcDJA2i8xU+ry11KXlea54XwPQ5dphMoVApZLAKNSRM'
b'tNWDmQUms7tIy+TQvodQQqGzvjDQfGf2uckbDuteIXnN7bmYSBoaCKIA1NRwN2sqRnIikWkm'
b'OX22SuACEDZnx+eNzDNsO6dxSF+u0rUfJ/3zK9Jg6YFx1UySKA9aMm/h3mLdK9eIFi/jebHT'
b'FxGRUR8/F58Ob+OslbMmhQgOG3XktHghOtuxjs+fOlrDwcVAKrJvNCBKCkWChLBBPak4UACh'
b'GrO+YJIsImgmUHGRiLR4ilxsBqAjcLLon1WnCrSshvWyK/TQTLYiCET1CrViCIiWtsKK6KqG'
b'jXYaHfOgQ9IlVtJj00kJg/VeV5tgXePDJ58uu14QZ8vl66/cf+1eB+D1ewi//cMPP6tchiI8'
b'dfAFUIMcxqhwGsbg7uCqSAYINFvzDrQUQlMfPHtmy+MclGZY2v1Zx+VGTFJYkwS6rksLsQlI'
b'WtHUjEWMUXrJ/0w1cMzaA0RgUbpaA4ABD2/fff/H74jXru+9bjRdm+iilq4AicFaSufcWCcB'
b'1GHG+M6Cf0iKaIgG9XK1EZwsgDsdnovDE4FKwGLWX25WJmiw4bV6rQI44879jsBHH69JWSwW'
b'Q9iw3vR9Rx+81W/hXqSIVIHlbKlqsEaV0pUgpCzITMOTiU9DRYh0LysJ15l6plyfMaKqY7vE'
b'9nbxfOZnrMCc1sHbIgnOwZHHKeNcANhO5bXl8IarSMQ8Dux6InlVOUrNJ+rRVE0716/Ul19z'
b'5fqy1WXuTEf7c3eZNYlrzp3P63nx0CUK3RWte5kx3F8P8wdHdXB6fu1IC0cqEiGVZK11s9m4'
b'u6gJ0u2s067Hpg0RSeoRTNXpJJozgllmHOx+O8fxzKy6o96GU5KfndDea0ZkrK1FBGG03m81'
b'6DNpSoSTtLyt/Nj5tdtaQ0IgtV2qMUog6a6TgxARAgvx1Nd0XbdYLErX4l8ZtdXBbbMlDR3B'
b'YRQA0Ax0KcNYziMAwBuXwsR1mIxe6QGrIKXdmb5uM022CEWjxa9tP53CYLClC6aoUygBIpDX'
b'wTErBAVBRDK9knSn/UpsU0eM49/u294zW3p7GY6nz0NA0Ta5B04m+b/Yza4wnz4wwR7bp0oa'
b'6sZXZRVtWcNEQkIZkz3EREJIHyYRaztfAKDBTLeGTOupiJDGtI9ixij8ZKqNrBORlv3m2xxO'
b'ZN4MKqJl3CLJihT0kicnBeIJ5ZviR3uqCVc/WwsAAEhwzMC3ZU22GeO28+MgQIPsTW2rJMLy'
b'MZUAACAASURBVJekKA9owfxt2193/7xpY6/hyCfKdfTiLiGQ0fVwohHHqz2ec/Gacl3szlVl'
b'RjT3JZyrsgpcMw571V5fXnig7skDVx1v87AYGflXzFRwAITNRdGS0RYSnqqW9LuIiGK9ixFQ'
b'lU0MqgXNah8kqQKBO85X60AnwP27tz4//6zSAi0ni+We0iQI7QTyun54+yxhQ8eWRktsKY3r'
b'ByDMfU0gavW+Xw7hHizd0n1YOW15Z/CIiLqOZ+9+9Pmn5bvffuO0wxsPTz/6rPtyXSVErUge'
b'pw3c+riX4c5BO05lCFoAKbRlhLlu9l6uNBZkpsHIVwUaTJ67Z16Bko71qB5iUuYiR8IkpQty'
b'RFDGfPRiz55fZv1vvfrq74mcLPrL9crMaq1JOlIBFqy9FUDAODs9JRDA+fOBYlBT1boZVLXW'
b'CiIELURP7cvzC+CuAQ9vn33y5BMZEbU7W1yuV4u+bDYbQq2TOqxNMKzPf/E73zT7/7l7s15L'
b'luw87PvWitz7VN156nt7ZA80u9lsUyZIQSYhyzBFGYJhQyZkwPCbnvzuV/8TQ4ABww8UYNim'
b'JRsmCIM2BQ02ac5Di2r23H3v7b5j3VtV55ydGWv5YUVERmbufYaqut2Uo4Bd++TOjIxxxRq/'
b'hQy8f+/BOFl2d7qqTPmQCILMpKqEfYIWx6tVnuPu3adGo2XP5lJUcMXDPhT/FotXVVTDb8Cr'
b'G2Xxrqmqz3JuVS5qtc37CZoXg0fEh8e+c/eapchOsU2nlC+rE/QUv3ij9fPkrAGx+271yFF6'
b'Xpn2JZdQv7TLtf2bNnQcWxuULb+LOrxxfYV8wgqhc1Shsyrb2e8bfLTX3do4ytHGV1l1pD01'
b'TdPl5aXHurGyExsWTSh9j3L5OM1GbxvfkJeWi7Dx7jc9FhejUV/Um1DaW/q9cwXjwWhBV6K1'
b'pX6SIrBIWxZZsRSiHn4j7gAOeULYVkTN7O7duw7b7/c5j2JT/6J5ZByo7mG5A8zk7ALEGvFP'
b'zC4YApTcAuI0EVp8Vu2+FGZUNkmASy8Rdu8jh3W0ip0Gsb9SlzKEbMwuLHTncHgAXSOiiUoi'
b'hrXIS0c7RAWBVgcD6W4s/8Ql/jeaQtsV8fIvIyf218tTgEnE9HfsOB2Eq0htbWHM6RCGJxbJ'
b'0G67gghOXVGlLF2QDkNar3Z1GJP09xSXhjrXDF/oiP2jCUAt/JICYfyt6ZHhEYyCiAWB140R'
b'pzCrpSUiYWYB4DEp79G9DaBomMwgbnWfoHqw9Ts0xPfgZcrualr86jXoArAOqGOtEVmqPK/d'
b'/6c6csXxGa9tXS20gMU0F/2NpqzGxJfoDYtet9ROy2aebuLSd61raqyH5UVt7QmDVM8vFlsB'
b'11Vhsx7Knye9lbbXrwlYWdH9Nj6r94Yf+/q9DTENQJdjkDB1YYm7AB0KYz4UeiGSyZHKQKOz'
b'iZicNJgWjlXINPl0/8Hl5E/viFdevPPN718mqmUb0p1pmiZoJODK9EQhTO2w8+lTLz+fKuub'
b'4SJhdUamZqe6KZ3u1TMn0GFGHWTybCAjhYGD1OzuUKfce3j57nsPz166mxTP33nm4uKBuVOZ'
b'zSjMVDMbilLIpNN1GIDiDGV1vtfTUfIHz6emdaoWtktXlxau1E9NnBxOWADVFwOfmVkQz52m'
b'/ZDOc066Y7btW4wAFSwytKheHg4/fOtt4PMD8YlXX767G+59aBTJZru7T1lKlDRZPku00YVT'
b'ZHP7zCc/HW9//YfvTObUIu7FxjR3Cs0sQdzzvfsPDw4FPv3Jl/71997O45RHV9XD+eVAjBf3'
b'h5SmzIcPL5KkPD68g8N/8Eu/gMhL8Nv/LO3uGAdzEeRsRkIocJKJCbTsRM5GYADOdvv9frg/'
b'Hlx3JHcczOLwQGHrJWBExSDKlNJOU8nzVV1DpdxJSrFpsK189A6WvuBTAUiw+OaMU5wWlNOr'
b'3XVm4jtc3QXz0U/4FQqO66jKbcsTido7VVbc//ZdrKh2rcuNY+65w+2R0dewEi0qnWfbdL4k'
b'/U0YO8oobxt/Q+lrO2tXzKA7WpQXGXFSDjjpIRWY2Xh5KDy00Z3UREkGijuK99qikSt2mS6F'
b'41ovM0Onct38GRRMWDwoNFatV71hG8uVXOpF8y0tPrjn+Fdj2P6cW7vhdlzYuXrSIeG9Sgu0'
b'CtXg2GA25QbcWXJCwqcx/J8BwMyefe7p11577YUXXsg577jUgc9TaABynnuURM0mwqvJuSMC'
b'jTBE2Hk4vkbsGIV0CqWG9yICVII2sLhlGqsjENzoaUiVgUb7zO4qNID07C6hzSEcVJWVI1D8'
b'mlKJbWtvYXE1K4gXyykr2uv2GabmwOUKLiaYSwJwkziF3NwMdHdzc3M6LHt2ujsjpaeVDHd1'
b'os1DKx9tay3cXDHYFM5OqzWTp8WU+QwdO+87d28OYw1Y1t3N2nLNcWrGe5HN3UMuayixq5Lz'
b'6O4wDxjClkYpHBe377rKAvCYxLrvvCOjC6uf5cL5ZQaUaN02QDCvnOticx5tXiOUixpuULak'
b'8DinfuzYq2zxVhk2mzWvrfmRy9FGtrW1bfPV5SY3t7G6Yc03ObH6P6+4f44adJNwCKNYiIAE'
b'5+xUxQrZapsOY9Cds7t3sn8wmaWk5pOKWDZIBD0H3KQ6BK6Hw/juvemV55MCX/niF/74L74J'
b'7NQHc3OhiWTzSGuVLy6eGuzTr7380jNF3xUsMYRusaqpFA+iZmymgEHEpjG7KaEyRNytGyki'
b'acjuqmmywzv3PvjEx+4aMOzPhBcSgb3FcGPNhNNUi7YN9AZQheVGo3qn2aC5BYYCBaTvVmt0'
b'NWu1l2hVAiYiD+4/BJCI5597Ln3/dYxT2g0GiHMrA5CMFDcCEcLMLi4O33/9vc99/IW7d89+'
b'5Vd+5b/7tV8bhv0w7MdxVJ2G3TCIuuWEnC8Pd3b6mU984mPPK4HzjLffedegAo7TtEvquUWb'
b'M+TibHx4cXj7nfPPvHSHwFd++qce/Nk39YPz6fIiGwhVIk+XbmlImC4e7v3wy7/4s7/4b7/s'
b'wL0L/P4f/+kErWcxh2FADrgMAgLS6EJ99/0PgqH+4k9/6fLXf0N2T5kkO5hL4f4ZAKDFW1ch'
b'STXJsJO0o0rjEcO+SPYAn6gCAFez1xOEerN39ZRDqVf/e8uFtDzVrig3pAk3Jx2PXB7tFSvu'
b'/4rbWBSaXo/8Y4qSUw3r7tne2c9UV3+du2MWBixJff/Uts5628kzyK905e06WQJFUJXCZvny'
b'8jLCYzxSYIHQ5NWo6+6O4xaAaFVr0LG2GRgOSVv1mTrMCO0DhU8MUf1+UjxDPUBXP62ubBkP'
b'LFadtAiZwuioUJJVnyu6SFKSkIqyA5+mqQbpOsmzs7MvfelLZ089Z9MoSk55OfMLfoPiA4fz'
b'+/cP4iJCb34HC+f50nHSneIwm9ncjsVHhjc214rLQNV7d59maPED8blhbRcLODw+VuPp7i3b'
b'V3s22NNmkHHPLKxsg6XLq0/QLCPY8tar+B7X535GDUuhYp5fmk15e33Vwm49mJl5x6O6BzZS'
b'iw0oNgRDY8oXlgSDhy9+3B9XYLRAZoaHVjv6WSBt3B2m0FkQyQjbh4srxZBhBZ3JkOkSY+FE'
b'WEja/UZ7AjCg1z7uFYdLakiKSIER6B+M3vaAnvM8IbuFYSuWUYcaO1OOdZNW2zi83AxHdFpH'
b'e7T9aaO8gVPWJI1lk5NEDQjzjfRy/KVH+jGXk86M3vHGHeN7usy2F8dG476VHBba98XRxRpE'
b'uC03X1EnuzWTVGNVbzdGtzh6yuJxAmXDILmBFLfp4mIcDSp4+i7u3jmbzkdC6VLgmkN6p4Q2'
b'gQ4ls/P7P3j7pedfI/D0jj//pc//yZ9/IxvBlJncsxCJEMtnO3ntxWc+9epTyeFm1BbTUpao'
b'Ihvc6Q6ZBATVXd1eeubuFz7z3INzfPvbb54fLrPJBKUMk4EakC4HSH7pY6+OAIEPLy4P9CwK'
b'N9IUk2ejSl0WdY68wvOwu1j9jtgrk2LnLFL9FnmqHF43lqJLRFq8qfxHg3jR7UEc2fzdd9+d'
b'MpLi1Vdefu6pp3N+cHm4FN0XALnW1nISZnGHiJPmJikh+19+/RuffvXnlfjYqx/7z/7+f/4/'
b'/pP/bbw80Pxu2lnOKSU7jEK7M6TXXn7hc598ToCD47tvvH8xZdntascYkYXFWioaAPdQ/f4P'
b'3v7Ui58W4OVn+ZUvfu47b/3JXuVyIkQtX+Y8pkQbL3f5/Jf/xs/8F3/3ywm4BP7Rr//WxYgp'
b'+3Dn7GKcaO6GpDuapTRkFNgLKl9/+90MOPD5n/zk2d2nJ+4vRj8729fTzkmqCB3mpAwchrR7'
b'StJONZEppjf2RAQLxtxnBykSKIQkqv6/Tt98aIXu33tO0b3mRCm/0JxWT8HrFkA8svwT2PDT'
b'K5a0/dpHAuBKovFouv9V/avSv25FordUsecCt6ooVuPA9te+/vWRVPdjBM/k5f3rx6vsfrQv'
b'RznUkOK8SinXqp9WBxy7kNAtzzT/SXgeLy/Px3Echj2dkxs4ULRSaIeLl9UtEEaLgsIIKGQ+'
b'du7FqLaxrS8tfLW7t+QMi/YXxb/ztKgD79yZqrjLmia8X6JH18NcTXWsjZKrzzlZKHPJfyCp'
b'kFMxOkSSqhoJUlU8W7YxTBmo7PIzzzxzyD6Oo3fu06UlXZ9EYWN2y9/8xl++/fbbKUnnSyLd'
b'Umzse2igCkva2FObcseABmNaO4gSNOpFt1YY27ivhZSWJ92xZIhrAzoXl+VWWm2ujS9WLv7w'
b'TgTjW69sP+Oe1fUqnBipVVypkULdrMZLRaSN0pGlhfX9/Z4qV4zVD7nYfzTcOougZb24VQJ1'
b'l1ciPjmsHNNkESAcI17UN17ESYGYm1BIiISgNDmzmLiYOCCx8YCcIYEt4iJipFBsGwT8BEtP'
b'E1F1ADH0PU5l/d2iT7KNASgM6HGO/IY8yuOXrYootB9Hb/MeiHND9J9Im6+oth5IMdpdm4+9'
b'92oCt3rFtTfctmvzYPqKGS2ta99sjpaQdgXF6X++ywtEqUd2dwMfjnk0iGBQvPh0urj8ADYm'
b'GSZzcgDpJmA14iEnETg/vJi+9p33fuozLyhwlvDlf+tzX//W98+n0aesInuhH3KCf+oTr3z6'
b'lZ0AF4esgkHDN9FgYqS4ECY0Z+TnSoQBmcALzz+nwIt38MKXXnvjrfPvvP4D0tyyBGynutj4'
b'qY+/+MpzA4FL4P0HH44uEDUzdaEbbEo6TMUZMvh58Xo6VJJaWPBynAs3uGFSnEOJ28aj4NiS'
b'yA13biloqOrFePmt77/1+c+8osRf//mf+/OvfuPNt946P1i0QepstpJSupxGksoSLvDBw/Pf'
b'/+Ov/sLP/bQBP/Hp1371P/2Pf/8P/mRAlsN91aSjkFnpn/7Exz/7yRcTkIF3P7BvfOd70ARq'
b'hqsms0wym0WStIgQIUX17O33PviTr33/K1/8JIBPvci/+7d+9h/9+m9P5+eTCXzKNvqDey/s'
b'0i/+e//Of/LLPxmBJb/zx2/81j/9nSz7dKaTYxj2u91uurwQEZoxDcgZBu5U4e998OG33zz/'
b'7Gt3ntnh7/9Hf/t//l9/czecHWzksM9eeHphAiSDIkmHnQx7SY3754pJ5eI74UWqxYnDqWyS'
b'ALB3N8tCr8g/Xk6+FhN5ojSq0kj0rOY4tjx8o/44Wv/q5scp20rY2T2ueKpvhi+v1y8n4wqO'
b'NvsUPSTXiqOjtW0/j9YfLGzLs9sLG/WpWbFdz4Ujnq5XUO+eRVs3gDCzaRynaRpzTiLiMFHK'
b'mrso6KfLxl9dat8btCLa5ywVxHmHgHY5LgsdhTOIE7wNSDNWxOz06X5XsuJ6BMoNQmjzSW1T'
b'TE2Ukg/SPZNQRiZpt1CE2qzwrtwRcx7JnWhhlo66ARHwKcPt7p39+YMPv/OtbyShcCN+G5pz'
b'CwBD7jXTC1yayvqHzhhFTWsrPBxDaJrXz9bvNqPl1OueAWG73nTSEdSIglSj4YxjyF0N5Xqo'
b'iaYlflF8r65oflQwaHeSHvBOqFDp1d4aSIzCkqqz00rWqWypFRpzher7x7akXVFVcIHO1JaW'
b'ItyqrMKsl2UT8QC9x38wIgqAEPedindSLknO6Bix/GKaBASdHESd0Hod4uIKyDCg1KzuHoOr'
b'4DoPwKmFfpT6LKVkLxHrPlv92th5NjT1fmC0FG/1VY2WOxYgQh8qDkAuge3d1nJ3b5Il56dw'
b'TIgvFrBjGmd371O7hy6mHHIzd7Uch55bjXiGWAfmMXUAaBp42LgNcxwveAQRYTt3JKs4Hk0+'
b'Mrnrk7IBvM+/nnzqKCms3wveCckj+YOrNmvBHDjYL20A1UHF4Nk771jz2DSLc57mQIaRND+Q'
b'akgmGNLZv/7eW1/+7CsC/OTHn/r0a3enzNff+uC7b38ISdkZkeXNhz4jC2G6f/OdB/v9nZ94'
b'9YzE03f51778qfcf+vnFdDgcduJPP3X37p2As8c7D8Zvfv0bX/nyF0Nqh+UkabLkJG2kAxLa'
b'HfVyRtmbb/zgmf2rT+8BxydeufPaK59979zHi0uMo2e7u989+9wdihPIwLe/836eXJjMRCBk'
b'NqeKRq7fnPMuyXQYh5Ss5ZWgiqQpT22+LJu7R3buRBkPl7s0BGyWASRFZBxzBcdMFZD3ZOkJ'
b'WbzCWRVHVvRMqDYBg6umP/qzP9vf+bmPv/KcCH72Zz7/FXz+/IAHl/jq1/7i7XffhagCrKHq'
b'2SbR0jxRyW4QfvcHb/BP/Stf+XICPveJVz//iVffu3f/wf3LwAh6+tmnnnvubujARsO9+9NX'
b'/+IvwQHQnA2SvLq5x36UlqkNks192H/nnQ/Td+994ZPPnQl+8nn81//g3//mD8Zvv/7WB/cv'
b'dyqvvfj0T/3kS2cJBhyAP/zqe//wv/+fsHu2GN4ghJqLDmciEij7OoiUo8KUZ7/+j3/jv/ov'
b'f/UM+Ad/72/+6t/+d997OP4v/8c//7/+7z8ascvckQxgNBVFGkSHYdgJE4pj1TzUBUbZGaek'
b'VZ1KoR6xs7yE87ZDq8ASwIRubkLCrKYuybRiCSDpNmFBRo5M/dE/w6u1dzO9YvEcPW4eUwbY'
b'sv5cVrtt0uqNK2vDfNbUm5rjeH9Pq7Wd+qyMKQARsc631xvWpJGoxshuuOJLvKjd3DMi/W3o'
b'AmT767VVR8+FxZUFYe/a70s4qHayx1lsFkc5BH55eT5NhhLtIk66qJkZjRrdX2iFm6ASIyPF'
b'FXNxsqyXWby90DHtmhXrjb2fSTcR1v/ZGhBfim9CeGDWcZ6mKaWEunEqYMmsmoxGxlOqEQWB'
b'VJOXU8SdlMgETFVF5KgxJiqTBZQNyaRpcgskA9CCWRaRnCdK8uaJ15UQ8jAfhnHITGe7/UCm'
b'pMhTP7tmRkjIGu7ZCVURx+TGyD5OTtUtJoDrJGiZOyM8t/fmJ4Vwyhx6ixJinJI46ZO7aHFO'
b'Cc2KIMO1+vpXlpvN9Sgjq4oLxSXH70KYeQBcMHxEKRHuVOIYiR7LCFbBMMqvpNToFGDG6Y9x'
b'IwCL3BrFYtAesQLv0bjtus1b8FhdAG2IO5LC2DWFDWbR2MxxJmagg1L0Cz0N8SbHdqKFAbEv'
b'2h4kwUSAkf2t7W2vAb4dwSseXHHemXe8nM+m3RtZAB6HHLfuccntHUGSLlnbbveuY9QwFsRC'
b'I37qHNpWcsP715JLvVKrYr+GsKDIj8DbX1MeYYJu+MjqaOwn8UmVKysk4GZQTeaozKyIyORe'
b'tSJeXKZLCyUOMZIg88TznOWhvf7Og0+99JQAO2Kf8Oorz7557+J8KqepuBGRSRVOZMCRdJDv'
b'vvnuw4d3fuKTL9zdwYHn7vK5uwMxKJANEDjw1nuHb33ne4bdQ4cSU2i7DxN0l3MupLJ0JoQc'
b'OOV8nL76te9+6uMvvfbS3VgQz98h7pzRzoZqWHLw4YhvvXHvnffPMxWoeTSJkKka6QKQUnLh'
b'mKPxuJymyY1kwDeHn6IgoBE4jmNKieDl5Zgj+9XFYWr5MiuO3k2W65G5M+/T/EV0XiZEhDL8'
b'7h/84S/8wi+8+uJT0fg7O+x3+OTHP/H2u+/alIsep1bbsiiEgcIBS+lf/eXXv/Xdb/+tv/lL'
b'Lz3znHt++bmnX37uaaBECMbBeGl48833vv6t73k6i3NV5iSkdTNueubQSeWbb/zw/gcf/swX'
b'PvX0GWD4zKvDp1/9RCiRGtDTueF//z///H/4x7+J9MxIuEA1Qn5VwVBHqbt7nj3ofID47/3Z'
b'N/7Jb/3R3/vlv0bgmbvpztPpP/w7v/Lbv/tn4J4YGvKLiUJ3TAEVAhdiyR6VeenGqlcdrPgn'
b'b3qNaNL8kxVfAJvq+VE40R4Jsa+kn/fN2nhilG3Lp15x27U3VMr8JBrGxZeVGPCIdbo3181g'
b'N+f53ZT2xtX4b++/+tcrGnP1UyQL7nkdgbLUppxzNjOhZCckadpp2gkvLXLuejFQoFufXZkR'
b'81ofK19ekucCAGf5RySia4o7kHtNkdmZkloXmpNPnAuhh2nSVC8YBMveZINV39vI9IIE4twB'
b'UDPBkGgGGUpyqjJSIpTAepXBaBSJ9BvlXYxYh6r1KmVWG8sG6YgkYCq6H9KgMkiBQq9NlZrt'
b'W8XNXTNyhA8NLFh2JPbUnHPqpqYm1gmkAQsXloKZE7g6UNDElTRxDbwdJ0EzSGQmaew+wxlm'
b'JQCgyJORCkZCT+Z1FaiyMPgFH03C/bHKKVUU0iK5sN5OwCXeHUNWvc1Teyr+cxZhp2odZRav'
b'NoMcaEvshMD6Z+625KzdF5GUUkiVwzDEagmpEphtL6j5BFa4QwYv47ZZn1HmqpZq7ggabgJY'
b'Kb4g5n1VHz0MaPdWwEFr0cBYMX8FDrZ7JDCDikoxYB7DZiadoLNgTyu1V+/UFTyW0LQ9cuS6'
b'L+yUy/pbkXbRwv7IkJ9nOoIOdrN/sn/f7Rq2uWGW6k7fdsWvNymrw/jJcv/tFUdrdffIdJgP'
b'l+/d+/D81aenCW+98/aYMzQBEJ+zWQGAC5BitgEKBZKQcTnl773+3sMPLz7x8otnZ0TCmz94'
b'eLjMw24XSivxEQhkBDGIExl0SsLwzocX97725vPP3v3Yy888e4ctEtME736IN996996Di0nu'
b'GPidtw6ffGV37954MbmkdJjy7mzI0wFwwhQFv1UABy9MRsrX33j/zXfvP//MM0/fPbuz5509'
b'DoIJuLjE5WV+//6Hb7334cHuZLnjRemRCQMmh1tQUJLkNE0Acs4f3H/w9N2nQVweptCvrZCQ'
b'PXJX2cGJwzS9e++Ddx+86MSD84dmW3MQJB9XmsbvwUTXWLEQ15yAdupogYWF4SIf9ipQ+Re/'
b'8zuf+4nPvvbKx55/7qmzAecHvPHGG1Iz2QYTXFVfBhSaGJ5CNk1I+9d/+IP/5h/+t1/8whd+'
b'8W/84qsfeyUiLxyYgAfneOOtD3749juXY+bwzOQWqTrtOIR6pLEkyRx2UXAy+d57D779L//k'
b'bNh9+lOf+vjHn3pqX3RHDzLeeAf/7x999V/+7u/du38Ynn3l4hAKMYd4KvxHggUDbSW3bili'
b'rpM+9Wu/8f989wf3fumv/9xnP/PMxYTf/Gd/iv0LcBZ8PJJUZaLuJaBDqgq7B03mghVY9Mxh'
b'xaENqLwlYFMjKO7e0CcAmE1V91+Sf8FzeIr19HmlyDi2HroG3Ua/cMpTv5wRj01wov51rvIq'
b'P6+uxyJc3dmz3Whwq3JkZNpc9Kfs/OxGYFjMYrttfrxEc2zbs3nvphfLL1d8P1r6cWgQIv1C'
b'KyxpeNy7Ry6wbKCGT0SCJBEpjr2BmijzoRk1mFnL3bNiZVAsDEQnbs2J+6roG4EK0bwyL17J'
b'wZUujWSgr/upYVm1ZyEkVNBF9yyu7CTDKmIUDyiSqgM1OYNkZzpEVVUBoUTehJxzpkuNTCht'
b'kEV72C+Djmsq+3G32yklUVzUkdmk+WqDJcXcwbBEFZTSYDiFMq95rva4OwkR0ore3gWkQ0GC'
b'urguTmpFEHJ4uNaC5TAO/XcBbKJUM2ZkeSv45iwJrUICLAKOS3EEOjJHbeprm3sXoGWI4FJZ'
b'XIAWWPIac5ljavGithJqjawVRpbs5pwJdzfCnQXG1+J7rPW2/iPisIlDGS7cxAAEHGp4o8Qb'
b'fZHgYm5SNEZCZnbAYaEyavMoC7ml6931AsAVpNxvoAxu26ZpClrFV1deBOJlM9iVbfO8Wk/Q'
b'SU6VRrQrxzvYBmtFGbct7InvqduuZd9vcvNNZIDb1hnl5MTdIifxkywsctqRJqmmi8O41+H8'
b'8uL3/vBrIswuw7AfHdW/KCStcr84DeJWgCgTBao0Merb74/v33sDwGguu33SszFnIYmpksqh'
b'ncgOTGagK3Wc7PLeg3c/uId82KW9UsymcfLMnYkaklOcw5vvfPju++Z5moJkio3jJQv1CBpc'
b'XKEM4lQIsk3jhV0cPsRb7/g0pmGQs7MPzy/EXFUzHNxnGXJxUiwajZlUQ8Yx73Y7qYqQd+7d'
b'v3fvHTPLTEW/ELsvuHW6m0/TVKVHee/eh7/7+79vZtkV4GwRBSqkP3BsOa2WULuBXQv76Zym'
b'SYfdIY+DpqTD995487vfe50ALWcQVBNSNecMEQRKj9eDv8YwgJQhPXx4n5Ius33929+9fz69'
b'8MLLzz37yv7sqYvDdDmNRhHVLOLYoRxD16xqaWTUheIZkOHsfJRvff/tf/qHX7t4eLkb9Nm7'
b'd+7fv//+/QfGdIndxZRMUs6QYRAImGvomAgiT2qc3xNECvwb1ZkejNNOn/nnf/T1f/EH/0rA'
b'y+y7p57LspOCjm2guihcQY0Iw+Nt7jT03dQYKpldHBW0xt9XO0AUC49/N2sJa5oRoJ/ofgH0'
b'PMqpcnPqd/UhwqO+21fWv6rwJofUTZqxvb8vq4Zde4isfuon61TNKLtsEV22vefYqjjy59Vl'
b'2WApjh7tJ0dZLYE6YdmJEADaaQ9I6HMjm0e0ICq4dvFgO4xLzo8FIqx8n3nXY+NcdNe86AAA'
b'IABJREFU2Y+yhs2mKhiEs2g590Wkc1ub/Zm9WhLW44lNqEy1P4TKmiSpVJU0iA4lHtMzXIdh'
b'TyqRmXSATjUGwMxmTTMAGLIxoIURQsbRoRNz3+12qkpCaj5EAwQzxxkTSWlZAhZUffbf7nkh'
b'Vh19Y9DrZ4CyhPcaoQ2Bh1VAkzZZUpDIudEdZDibsSFY9hIJbaQCxdpAekCq2cx8zyG/LICi'
b'xe8D3Z7qh2gVIeAWABMKGDTSdSlZY+TC/cibpj7e7+16jV9wYEZTCrsGU+lgdlNVCAOuY+CQ'
b'vcQ6IkNoNEaAsNCk5GVgCAQiReGd80hpo1TpQ81J3MYgYiScZmaKYvyoIyD9s1iSjh+xBWCr'
b'W6mxf03GYmhJg5mYUeolbGrS9C6ssRGdDoWNhS2Ju1kU8tLJUmuk/JXP51YPcfTX2isB0AS7'
b'+bKFzJZr809q/Zvn0KnXXU+4T3DtvdSK7mvd5ADQh2R1pUePeXJlGwmw+n1mOBdlGHY2HQAy'
b'pQzQfAoc4VASzAyxgSBU4TGenifRghZ8MbnKWRZxwizirqbdIKN3nXUBRGjmcGRNNa152k02'
b'mVF1mDyEczUR487M4JZSMgeYDnlK6czyRLgoVFM+mHmLrKhuKhTVIU+TyE4FF+MBThnSpcNH'
b'GflUUs+e6cH0X2oastPBTDhUHfDQFkhYFwHE4UFJU550l5AjzzFQ8s6L5VEcTGmaDoTknIUq'
b'ohfThYi4M3LQAK4sIWOEdfrX1Tp0R00+Zb1eIdILzHq7KPv9/nIa07C/vDz3NHi2JEr3lAQ5'
b'UyWbWzYRVdHJpuVCKHYXOvJ4uHO2//CDvDvbj64HysjdA+MH5wdNA3cpu+XQGUmRGoLnEG/t'
b'EffClEjx6ImTTQD4lAU4XF5MzkucvXMYDnqGyd96N+cD9/sXDmM+NyDtpjHv7uzGQ47JrUnN'
b'40s40Bo5OHJkMzOCzpR2AA9IklxU6fzg8pBSSgDFicFEgAQN9+1GJswR2EAzU7IhDhbboRF3'
b'FkT07FZUuGjK0sDGBmgu1UgC9xYk3vR/ZVbL082TsyePjbF7rNLbAfwI8VqXKwhj1865VUGS'
b'b9vKlbqHjDTi8wnac+G9aNRzq1e0vBcAWj3999WdNynXHxnHH5PV6PT1VMZj+WtJrkwF3fI0'
b'TWbmOphDVEUHF7WAMSHNLHyEsByccJxozu7SDlOWrYtjy8DdZUbgK8qR1dndVu38fSNSrka1'
b'3dZj0cRei9Rm5MSuuC9mMG4LbHoRcYqkhDRQ9lG7QgnT4Qwa0VxKcaSUp8ieG6y5l4gRwLos'
b'YEdmjEUTYMSwP5OUJPIOu7q7hodPGBZq76L7bcCP8crrP404wkA7ycpAQwgtUac1FmWlel9d'
b'iaKlFnQhxtq+MwQKibCysFSULgjVYZY9WHPRAN32NlltAZT57eos7Ht2COJvgEAqj5bMA9J6'
b'F4CnIqm3LbTRoKChDNWjtjSAZhoKeY1MPyLuDDtzKmCdEA+wzsLEizgNDIYeYTarLSlTEwAO'
b'pV9zcKqwjFCEjPeLuQ583QuIveWOmwgAKzJ628JeQj99z/wZnnO+EOailOSI0BJmcby5UrLf'
b'dRaARS86MXRLiPuL/RHS0ff6U/fgKXL7iIT49uVWc3RUqGgXwz73Ubf8hq01wiYvzj5FJ5JF'
b'iciY7QjRbvGITShLBQ6DuUMMrmmXyQy5OBz2+73nMUVcnaPqR0riKkb6MBny4SC0UEtnlyQp'
b'u8fKzA5nEt1RjdOBlinqDodM5u7c7Ybx/EE+uOpuVjB3ZZqm0MRcHEYRSbszIufJ8pgl7Scz'
b'0bRzg2elT/kg3GdGI50lGCAIpx7GC1ERpslcVZySzU3UDfRcR9vF4bBIsBhbaRp98kmHPRDg'
b'Jm0LECUjz6z5O1W2SyVcdsmgYeX5cRzNLY/TbjizyYa0G8dx0HQ5HYZhOB+n3Z2zKZu7j5al'
b't4NXOOrghzVCBsnLi/HOU3sZdhNgKanuDpOZZR1SEmWXhHtb2IVsEvUIqD+RHIbhIjtEofvJ'
b'htHyXo374cHhIZnSkMbJNA1TzgFsSKh7jrUYJ6sIgMQKBg1aIOUNMkzTpLuzwzRG2rrhbCCM'
b'eSKEqkI1JganGQjWS/pzinZ5Fe/nYo5QdgER1Fv0/eF54Q4swlJ7VUitf23nOTrpKzrZfj1F'
b'RhYakGOm1Ksp6q3Oo2tv7lt7xYLp7++7teXUT9V/7a/96F0xdO1IXbWqv+dqlu7q0osx8Www'
b'RVserj8QzWwcxxplDgdEZPaDJ8l56Xpz1zmt5Lp6rvvH2QW4h1iCzcC6u1c0DtaQX19q+vs3'
b'+iZq8VQLNy3T0HqLJIgKk6RBJDEUAjBBjugIFy9OzqkESJMEFja/fnUd19W5h85KhyQpiZAV'
b'Cq9EEpjBS/xTVBU6+kqmipXmVL8yKIuJDk50hmNpmW5L5SX/8QwV2nTn2093X6kg22yW0aj+'
b'eS0nbqBdlWazxG03m0a/rsp0n1BiMnG1mksfbZ79Jsz00SCrSScJkWYTcIYjlAMchIG3JilF'
b'j5LOcQji2laX+EIr3ZPitNyJ2ayu16LaciLCrFkSt3X27Lqo22JeTbH/KC0Aq9Lv3v7PWBAF'
b'N2lxEAhJYSLpgcAT2DudC3hBiw+8f5aw7dLtWKnmDW+hrxnAHKl5gj9eX4kdtelXgPs2/uNq'
b'urx6xa3IdCvHnur382mNeye6rM7s2l+/uoYnVbyLAVgNtYiYQ1OyDDOjqFQ1Rrm/cm9GABb4'
b'J+YmUnwRnWpwp01mZji7k2y6SKqesxvAAc5MdxochKlPQOgeBoyTe96llCmTCUgh4FkjiaId'
b'aKbMSXgxXQ77szzmgLfOlxfDsMs5I/LUVBoewazmUOU0ZYqkYW8+ZXNHMrs8G2w83B/Onj2M'
b'0+Vkd/aDTeeJHEPVAQu3dUCM4iEBqBJCoTnMDFTzHKSh5Zoxc3gLGfCcR1JDC+Xi4zgOTNlp'
b'YWczuLvSzRGBYtspO3UultzAwjAluLuY06GqArXJPLu4uGFIu3E67IZhzHl35+zBxcVuOKMQ'
b'ORKczTUXH1anuFjGdDkOMuzSno58GPdnu/FwsdurEqp0mGcTkhCbMrXTIMAC6GEN8yLwWeBX'
b's4mazM+ZD2qjHkzT3sexQQtIZsTAQVNGVopHmEM1VrqbylBiMKAkgMmRQRfB2ZDgGDSJ7rPb'
b'ZKYktTgQGCvDFIqg8Ols4spMJfpdWZPmLBn6ghhXHRvKTutYCq8GgfnPWhpIQ3emxpmxGLr+'
b'2apguZ77P/q99ORY5cuOzzTqCoL5aLT06lKGyh1gMI5XvG7b4KMtbLxOMBw9x7l6yjfyyamN'
b'eWp8To6JS1OTn2LK658bhRpAUsCc8zRNo+XBvYTtaoo4XYSKvjNbrRbh0a41AfFoHzd/ErQ+'
b'RJi9kB/vtfIiXw77elhogIsQgOVZl9zafJT0lYuF+gkpKSXqzjUl3Wvahf4XlsWnYRhSGqDM'
b'biLQ5QHr7jXPNzYoQOvRyG7h3C9pl3Z7odEyoEYUC4C4OysQ2cxZSguYdhdfOAWxm9+Ia1pN'
b'93Y6lhdnHXlAcK6sB82GYFVVhG55dINwhOeO1FWV6dN5cr1fMvO09vO7ojyd0NWJpi1H8/xe'
b'6sKHvv+1EYHSx5od2VDw/y3YlVC3swPqjQC+OuXrReU1GqSiOtdFWDGBmr9ZOAKVNNrIyDOe'
b'WNfmkzqaGwkA2/156uK2kIF+SvfYWvMyin3bSutP+x4RhvNRR73JG2v7whQQg1+HNdJSX3c0'
b'XH20zG9YKEpOPru6cvWfT7b0RHB1vf/Sr4l2it9iqJ9cOUpcLGdUEV9V83RQVI0Gc4DvkowZ'
b'1yFNU0nDbQAQmFvMNBERNZsOImIWmYCB4rVuFlxr8D1e+Oc07B1TnrLRVTSHp42ouE2e6SIK'
b'uh+mSSQdLs53u10eL5MqINM0qepUYkBLv4ovJixnD+CDbGPcYKSq2jRpouWRoCSdJqPB4dAK'
b'yRw7ojgnwaaDquYxiwgo2S2JiMg4RUBnSABGhN0QZiaSCM+5mF9zzuE22kHK9KGrJ2fKNyJu'
b'K6tLTviUw1iLbCLqNo0578920zQ5OI3T2dnZeMgkhRxzTsed0yA6uFxM06SkgPv9frw83H32'
b'bnstzc1dRKWyre14uHpJS8QKm4mkMWfRpKo2Tuq8vDgXQfYMMqm6UWCgGLLWk9UMqipSdU7F'
b'CbANqaLC7xTbdg2sHFTdM5jIGpnrJiJxZpSYs80x5l0m9fglclI2FyA0LgcoW6HArMXWaZk7'
b'syOj4EYsTtDl6/zaMXT3Pg/1EZP/bcpqXT0OkXwcGtvzBwDg4jS3NdPjhcvVK4aozkX5Hl+a'
b'J4aI2DYh9ol6Vl+uaPwjdDyc5dpKqe+ih8qWJi6FOnj1yKXR85izRerVCPFUFapTzbPljBIP'
b'uUaXAhY8Sj/gJG0znqHwcc+ho2iRQi23V99xOgBtPsbelXZb+x4aX/M+ERW3rSq/9iAr7mTw'
b'eeE3HyFeKqquO0073e0jErT4A6YBkjQJzSigqIvmSJYmzQIQ8bPH/XvD7QdV+nJhSmkYBoFn'
b'm0gnJbzV2qorgJ4iZpMX9xZmn1g9yLeINKgafWk+5tX3vSX/ooCB8F984hFMv4Sa29OK9azW'
b'AyXAsACQDPx/Z9+Gxf5qpElnzr7n1LkU6tr1IvlU36FWIZtWjIgeMLIRAFBJTBmZGRlZoZGs'
b'qzH3kYVXXLK7ktldgBz8CZQVEMrMkqbIRkwtyNoRZrbKRtzyKvSp2ULLnYv+unxIzb3gOYQD'
b'KW66BSZdqSqwPoUFamO682LO9JwWI1J+bm4DzeJzpHQDvZyJpXuMxanGIgqISMnpS6EIoc1K'
b'GAe2940hamw4ALhIwSn0XuvfN2olSscdDQLI3Z0+q9RCQ3aqd42/WRMgBqpU6+DynR3oSqFr'
b'AFjzeGwossE7qX6tud82r5/FCndQ+hmd7cehPd1asj6clqLIXA9ae49I4fV6QWjBehZOFJ97'
b'ZKcUgYw0CgrAYqyYk8CnSUGnec4iyYGSa5nBxEp7hU0uc4qJynazSeEkNGyD2csYR2YuKWkq'
b'JLRXkZd6coASFAKepUTV5lz0AA5DBiEJEFXknCEpxwFBnebcAlVEqbNTF3gFp4ncfgSYzAXu'
b'ChJuNNFqb604QtZlzVIKzKGh1bbQRjuLCjxIY6EEmrJNLNYpQAg3NicqD8mYZiaAKA1ABSE+'
b'Mpkds9jTsopaEv7lC4WVOOAZhNkEuiYp4cgBlTplDZOeeyjCA8Wtf6fR4NkJJyPaiY6Uhpxd'
b'UnmEpJTsVk6VlSTj7kRWlqseNiJ3FPW20R1GkR0wjeGAw+LKSagJJoA0IQI8Au50SVLC7cwy'
b'5godWqA2ACvWy0IgIiejKQG3wKMzZyRuKesBADXiiOr+Fa92Xvep8CHutAi6BIpSydxmkB9v'
b'EJ/unsNKNNFyHLMUd3PzCeFPVw1onXLKm2KVQABiN5YLLHJOCdR2pwTXYoDV9D1HVs4pLnmO'
b'FDxhYmqVXItXMB9J7hLwwB6NRowOhGABV5K2PJa6w4wMmPkEJriYGaXgJ3o2KEREUvHvDZvZ'
b'SgBDd1Zms8nMIKISNgQRCc94751Yuj46oJ1loD9nG/+6Ylj9+gzOc2wHAEdGVZN52XQRdZML'
b'MomH3UxECDeHC5UiEU4ukWE1T1M+QJjNLAyBaSA1Z1Cgwkkk8iFmpzCFPyJAa5lLljIVSzdL'
b'kCjdwjvG3SezoiN3J5koY/RHUoTNF17QpaYLK70ruKLBn6pOOQfkf4QvGzx7BGaS9IBaF4Vl'
b'B6CU0bycS5TQVLojwzQV1EF3V9ln6pD2HBKHncpehh2HwmjpIDbltL+juz1oqsk9D7qHi1lW'
b'dXen0LKQNOScR/MJnuJgirGa42sdKnTLNE8pnd29c7g4T7qjIJsDrsU4XuWrIudQqAZzuFIE'
b'Esx3MKAUUkroa0yHFI4rS12J7llU3XNA4EA0/NRFYGaEsoXJHi9B6Mu8BDMt4rEUIikGNxaA'
b'NoPte8HZ727rmbFgKWETMB9Ds2AgErCnwb5HvbkwJ+5GVaWKVsEnIsbpwoBAjQi8iEyA06Fc'
b'M0ta/rSkNRuxQ4bBPXMlBsfUAKJF4V3pOSgLjX74/8SlwFxyz5FdGgDpNlWTSxWKys5yJ0v2'
b'AMtZVWCedJOr7yMq4Vke/FrZ6MWhfxYe1vu/fK9ruL/npkoNAWroeqtzaRjihiO/QV86hv3H'
b'oCUHbq8PO3XcPvEXPdmWkJRNA7YiWS1XuSqdFlFsdUNjr1Hjn+ZKjuPJSPfl0WCUqoIWsCqT'
b't3fZul838MhyEc8+e450rertVoxjksByS91Anmuz0K+Q1W6SrprFlFVmEhG4feKdVQZYVGLu'
b'gFfmB+4llVL0uu9psTZeaY7DZoWLkhBzgQukmRytghRHikYDKsISyth56ZYWtb1nJ+jW0COK'
b'72sfJNf3uQA3rAdh0XgUWW41yI6CcODu6NQ/8SeBQBZ3dwrcTCI4oEP7aQqK1WjM/ro1w1u7'
b'bvBGS+cH3asTbYzbR+49ePOyohtN2dSXdkN/JLkU4cHLmlz4TBcLC8HcmVC7l7YvW1q6vbJt'
b'QLvnlC7miv7e5IZ1/R6T3dipYEjEu1xgbPphYA4d9pzzOOU8JJdQ66qCKgUCHghtV+VOgBud'
b'BXHCJg+BUMs6F2JyiosH40p6AwVZ7e6Fy1x0ITyzc87BDwUuvi+b1NdzciRdinyOjACpFAVE'
b'MTANVBUdJCVNSXSwAj3kkiAppbRDgSGaVJMIPRJHFX0FER70numnqEIYqxv0kKgMkiaSIpAS'
b'lgoALbB1DlcVFZgJCvpNOOp4YHsSBcSA5Jw5XgpefygBRFXDgdy7FSsiMAulrfS+G+tBm0GZ'
b'pWgShXSXEm8gSzVBlzJsTtgaPUIlmapq7rIN2tQS11fWbGj6ETCcZCgBijostAHh5dkEbAHA'
b'Aqek7i7VD8VZXqedcDXPTWjcXSiB7iowOpWRLaELuDci1GyzdrDqkFCPOnjBb4iTk+5I1bDD'
b'VPJ9hXCYxD33duDmcAWYSIIEPkZM8EcfA1CWUfEtC2flwPMJAWCOm64juKCAqCSg7kvpxLkn'
b'WxaRAKdKf2yw/nFzMWCjsLldG7Ys1xUv2j74pEuoKvsrN409iC9LmjvbLo6y+HH2tO8/Jsnr'
b'NqULRj+9aB9NYHgypedO4sucaOw2jz/x0tQcfVOalbe/s8eyuEm1parTLTcHBLnCk7PYAItS'
b'JjKKKATmE9yRyerLEzVXDtBrVsP+M96AwnCvhJsTbbZaL0DLXDWe1s6G2jELlb+7s4L5w6M5'
b'5VgguuMheNng6xov2PIYorJ8NXawvwfNdlRWThES3CKHtVwBxH5ajJ9/PTVNbQRPPX5F2TLW'
b'27fEZB+X9b11+jhfXqHNT3KQjYbXi+s1eZTId80+0q4bqrG2vb7NUbLWzfUEOcTOfBjzNPnO'
b'42xUVRGZYg35/EatqLTsfPP69njf39qGfrEEv+NeMhWYWSRhnUWUwr3lJuXyRHHAK9cXb6zZ'
b'l+GVve6tcCdHiWVkBImB86871ZSGQVOiahWInUzDsB+GnfvkQskBLpRr0oP1OAfmwTEhQOq8'
b'OABK0t1eLCcKxXMnABR+usJ3OnLg39d7xD2rDo05iaih8uywOMcLM+Y+gzXV7kdrU6oMvS8E'
b'gG70BJWY1H5aweNfe1VVVrCyBT29WAlsZPFcY9UM1V8VmPH1SxoyuIIzBn+9jmLV8fnt3a5s'
b'XAerObQjhusmdTk7YzmrSEH2WTGxujmIre+pFDdl6xwE22Ypb4wJdnHPCKa6SgvzvGcEPG24'
b'R5T8QE0A6GnxR8QstvC28gqSZGD1xZX2w6Y9XTWPynJsSSTrpjrFVdez/9Yjc5Q9vSGNvknl'
b'T+SexynXjgNPxB705WoO4PHb8GMvT2rGH68R5tX+u/rl2rb5kvZtv//oi7On+E1vsLnt2F6+'
b'4YLJNdsKYDmPOY+WHa6B2x0KyHKwBqhHT47rywAEyGaTCubPCjvlnDVbJd39JlCudUgaMW++'
b't/Eq9zBZV9HIgMwmEsRFj9iGCG3PcLdw959ZLhdnhoUfrjgZQaHRVACzOTuKsQRJdod8+91m'
b'l82rbWLXygCnfnrksuIjb1LMrOeH+qrK6Vt/6ZnIxX65rkk3bMnVW++Gv167f1ekO1jt+r0o'
b'kheNp3nFm22+TF7ZasywJ7OKwTtWacFszXUuJqnypeF75kvBA+5uVlTXdVIW3iPxrpzHnLNX'
b'KNJmJSOOeAmKSGFJfG5q4wfm1pagmvpgUCcRFQ3hJz6ZVDsBAED46xsTYKYWCbwsO1JFg+G8'
b'Vm+wQgrLNAzDOA5J1GgS5uRatGxlgxTM+6qFjzTDYRko11UjakJrqG4NbC0oFHMNRXOPOT8A'
b'oZHpt6Hjs0UQNGFlWYwaDjULNt0WNy6pz8zQF9GBcC9W4CY1rYYogB4CYkbcGGCCoBaljcc9'
b'ZMl6Efyou8V6bNd7+RQ4ChDExfKrPzhRGeDZo69/sH0utDydI7pvReVYw1X54+XsygX4vrD/'
b'MKqIG+FikQdCJDryo0ABKnI2qejBPckG6IlO4gdgXHirF+nKWKUDPKpludTUXble436EmYjh'
b'hiyXZbsf7S2Pyi11PifLGtpk19JpSX9MObyWpQILrMW2m85XvzHk9Mj9yLn/G1k25tK7nD2y'
b'zPooZbMGzIsFuUoC23INQ9Bxr0Vm7vnZIw8cF6dPlX6Wi4qjgIcSzSo0E0Pv9dBNdPfCzj7i'
b'qugJK9AgO8fzhx+e33/vcGkARQLKLQNQg0fCRwYduEV/m+/PMVi89SeA6k/fiQZGYA5e8vqd'
b'5oBVyNQiD3jV55lPQPXgdxfAvY8u0MCiNmSHckbtKGVxyNXjHIC3zDnFYoDwrAiY0RuFBn1k'
b'5WoB4+pHGhvar8/oo8QKNaf51kVte5z1f8YX3Yij23YeFTlWFS7vud2+2/ITV49V46SP1ZOb'
b'5TbkzOzGcKCXmuCu4qX0lbDjCFmCT3w1NKd6tCKt3pUVbaqZlUSh5gCUrnRkNYfa1NPq+Y0i'
b'yZoljezzZAFoYl0VDOaYGRERScIUcR7tngrAZmFK1GHQEjLriUJMZYg2/TWzRB7lUgqVKE7s'
b'OqSdyiHCQIXstx/b3U5ziYBdNYCRG5gqGsxuBE856OGwKCp0OoWNgQ+1OlFx9cvJEL0RqfeE'
b'l4vQGSFl3iXz6ieOhUcsBKTMBWcKv5wXAk4vNtk2JezGv0z6Yqks8Ijqit2qXIwMtIaKXOSZ'
b'9TurI818J6xZ/KKJ0YS20z1Mr1atqHOT5iVXJT1rOp4mALi7SDidzhaA+NUtGOLyiHtxkss5'
b'EynQ4OLnMqplE0qgVrOAoFr6qHmpGP14Gav7FKmVDM77vQyHHG/Qk2pnT4ZuzqDf6u1Ht/Gp'
b'NtyktmtYtKgNixW/oLNPdIofv7at+Lv+8yNuwF/dcmNJ6ZoSniGlmPeeGKddSq8d+Vu8/zpX'
b'+/nOG3Dt3bm75pzaDdur3p0oVzRg9ZA43M2zX148eO+dH/zwB69Pl+OMQ+BOWIQlFQy7ErO7'
b'zpR5JHdmL9gvfVJXrH/DgqjYMotSe9SDDYQ3sAPFJbfaCkJlUCSBaHzXhriB2/cGqsdxgaTW'
b'UMZzBmsSOkg3szxeTtNoNnXZhU8M9+OZAa8t2/pvq5EpR1REiwNOczeHrOoJxfbRvjTuf/VI'
b'XcxL/U4v027qqbzCkTILhNcZ69r1nvs/PQCbt3A2nveVCMzy6NnMjE5xEkpRD8Uf4h72XVuJ'
b'8atBKN83STbboPWcg59YS+yciKKYmU25FSxpSxOK6rQfH8D1oM2BEALAI12p0Km9n3o0hoCI'
b'UIUsGo3I6xK4/BDzbI399Q1If5TOHaSMj0gahiHMDpuwMQAzAyqNmoUEUnDLrWTJotJREhew'
b'8J0r6ahfQv2YBLBASdPUjY+QLq4AO1SZckOroZsI1NlcTWeI5doJXK22ftaWDzXSPWsnveCR'
b'9F738WugeKXuTraFgbLr+6eUM8bM/K65wSVlb7h2hYli7RVZWy4rgTw+nfOCPLlx6p4iWbIr'
b'6ExD+sPRLAQkExHSUC10H20J6beq/bVdYfEKKnG+/dx8RM1YMyVFVp39/LY2gaJxrH8tOtXu'
b'adTwCqfX5YOrGb1ty5cljv/5795T4jHLauff/P5bla0McJOq2ir6KJXsH4VdZYHUNJcnyP1j'
b'sf/79y7PrXJqzddP6Gwfk4va1tDVNX8N+7jV+1f0qz/4Gwr7tUtlu66uLu6O7J6n8fL83jtv'
b'v/vDN3xyFLkpB8deWOfQ4nht+yl90sap5whjXbVL9Yp1AsCxs7zxNf2cLjJty8JKUKhqW8yL'
b'cViZ1JfmdemvdGNY3mhFmxOUvZyUlkfLB4GD19slVzN4Ym8cKTekn151+Ue4w4BUkvXa7kl0'
b'e1cQmmrGXy8qrwao+eQ+sgH7m9dHwPG+0FCQUViFu03vuu8r7v+GQ7QamXlxnX4XqjAQRegZ'
b'sCnbNMWwkWQaRId1qicU8fRaOaTF/rWx3TbY3b3ooQGU/IbgQsxA0aSKVWYusIAqi48AYgq8'
b'ywgLnhsjdHPPfVpSa9vH3UXYLGW1O1JcG6AiwmW+iKhEmFSHUDaQVFeYTV10R3+ouWesT7iZ'
b'brf7Seqw02GnKUlJ9XfkmZZjGJihIc0spWbDsVYp3FW1EeQyd3XEFv0q5jInS1ynVwPgllA7'
b'V1R9niYc26ddiW4FpBdXuvb2eFv8ABr36+7A3N+Y7tVm7/fL6vpRMQxA8anvtCHle5hlCmUG'
b'uvCJbszq62ZdVdXc1SttF/dLetVs78K6qMIqFTSgpa5VEe1FsCTo+OiDgIu1CERgRdWNFDNX'
b'Gbj5+kfIzHWt6kXY23MzN35F+Tz63kfgop5o2259MDyRsuL128UbPv4jXif/ZpfO7ecUo3DV'
b'09d5FeM2E/dopSfHJIF5+/R0/xTL0p7dtvNE7wI9G4BYxuX5xcXFBS2IpYUtvoDiAAAgAElE'
b'QVQ+PgPqBmCCu3s6ZsFY8Y6rvhS1w/x5tNEGFyu+p4szI75UpYOvHgluabPFFl1tTs+sluDs'
b'zsqsLz5dUJUaufVi9nALgS1wNnxqnhI5gEet8Mw3KEfJwhMs5OmhvrIxjY/BPPjBRQafa4Ci'
b's+5cuyNutWX6MXnMI2P7+NFNcZPTsL9tPkbNkM1ziJ0anvAudErkRmT1Amp85w0Yvl6UcqAY'
b'uh0I6cM7i4S3tL6bGuKlUSJPyLo7Va2AyiIvGNbKFh9taoxGc8UpVyrEiQupwsr4kXRRqOgw'
b'QArtUhdMFl5DmBlNC47ymkmvsbMt5EBVYzuvENyl6+yq7+j45v7PXGw7851eBYCeAve/eo3A'
b'BgJRAT0D3QsAqwYcpZmr4s4mqLQ+bZ9admrO9NxXe7UAsGrV0fasOo6qeK3VLlxDvdruFi5D'
b'naDev659olucKwlERNsqLfkruuSzjVKtWrsls9cIANsHViOyeeXcq9i0q+PZ3VVnu00ERHv1'
b'Oe3W2yl565G0pLEzaWQJ22EXGfkIx07XoyO6pSaQHWnIUoyb21bKEfvBpp4yPiuCfivvjRse'
b'JDch0Dd5S//80U0+76LTfABZoMH7+h95Bm9QuhXY6zEXI3diNdb1Fg9fX/+TLoHlH+NjZiW1'
b'TQxX6CHKgG8I8ZX6yEZE2pXHYUrq6uoqLEqK43Jy0BPW8zj6qKpBHClFHYiOaKJjIFbrqg/e'
b'6ok4XN2hkobh7Kmnnrlz5yka3QNR3Ita3d3dUyHo4YS/kK8WXFRlsstfboE8ESc3xftR7ehq'
b'H+9cE0H4vPwCEbwuTCfZUZIj+8KBtuR6tsbZuDGEBbwfJW4N1mhtKMIlkd0dVDMraM+PVPpX'
b'B+jzdnc9wp7pOZUbkrItU1LHCiJChzgShbHR6i5jBD3TV5VgudhiNQav5iUxk53aQ6Gq7L9v'
b'92D9fpJHOfol7t7yyq2WOm4NVn8rjYCkuJEc8wjZHy4vx4tLzxbBJYMzDXuolAScSzmqCQMr'
b'Rmoe8CXUTE8KRCRgLlm9dIIIeCVxW16WpKp6thyuNiI5z7JBA5dsnFYjnjFHjdNiBVOv13PM'
b'nkggFBeKJEwp7chELfYxkYgDLqdY9CBC6ZmZzvak55wFXiwSKpExIpxwxE+CDVLcchaR3W6X'
b'UvKSUkkbCSkCv7m752r66Ic0Ghm0uDBvACtSfuPXtxr9RTOiWlF3DyVK7761nMqS0gGYFRwL'
b'gP9uy6z2bLX29LtstrHUx/vtZlX06rQn1SzTeNelzHBk+68OC+uGEXX5hUURpeY4dKIiYcU2'
b'DXq6xFQoPV7T3hM+PzCHF0Gi3BPSL0REcvX87Nog3SFYRjvnkuzr1haALd+GzSQdeaTswbb5'
b'FZRrH/yoy+OwL30lR65cqTp9Ui99IlU9wnuvKCs+5uo7H0e0+HGum7/aZckcXIXD2JiGR56L'
b'U8vv5svy6EGy/bWnxdv7H6Hxpx4xeKBBJN099/yLL738Mc9Oqk/Z3QMRRszN3VjT5VQBoO3H'
b'FeE2zt/DpYAuhixQp9XQsuICZDXXY4cG14X/VmwNxOQ2RcbS16Z31/GqiEHzXI92EmCW5RFQ'
b'BIkZ0+MoLlG8S3sFkzChM/6TASP/GBv8yR0NdXYevQaS2g1xO1DLn4RQb6WD8bnE94XGbsu8'
b'bpkSrHf69TvutvcvH5bN4wtOQBw0c8tmFpn43MN41vtML4XSY+2ZO1tGeLGVvHGoFSvIi7uL'
b'9Yzg0WJmCGceMufsVTXJpZW+NWP+cp0z1TwjRTMeubMopIgURyAIa5YnEZE0GPJydov0Alh1'
b'bt84bV7ZgAVX0MVStj2JKp+0IW3LuFGwNd8pS1Fhw5SvxzxuOKYYXd1zsoYiL0n/64qvWD3S'
b'esel4Ld6fPWKLfe/enZVtmJAR+x635Ztd2cpYvVzP9Tbt29lgFaOuiSdWipt6t0YrH8zGlwj'
b'ABwdiNWJe9VqQCQRKZlQmwDWbvbuEVs/t7n2KOV4Pcf28/E7j43oGv9nIZrfmK4+Gvvu5bOp'
b'U25bwSOWW53Hj3B++0eoy38ypYRaVpkewDGP5Se1bh+39JT9yDLztQ/Vbcf/FDNx2wXd7wLb'
b'xK5sMFhuwWRduwh7utxdNiZFZtqnZ158/oV7L+fLGSQ7MHYk0xlQmrA8Y+lsD5IyBYb+Hocx'
b'o0DriVeWfvFZ0KndycxORHDPrChAYXowM5gXSa+kNrdmlCizX1Oeb48Tmm+g5YmK7xEPYXZY'
b'WszFcjCD+QeAbJO7G2nXBQFfUaIDVzz+CMRzrvk0K3yUHWlsWoFdWdaw8bY40kh2XhA9U+LL'
b'0lR08SnxMllLxdeeHY/76wkGyHvNS4WpcvcIcXezcRynaQokGJqD6lSnoPM6u6LxWzZufm/N'
b'SRFjH1ItKcVA0Vd+g163GWRYORC2r7xlcAFE4udagwACywEDRYCyME072dI8t9qkpOErnGJJ'
b'As2aBMkJy+7eJy2t7VwohpeoU2GcsXUIRDeSHrUZoilkwHw5uhw+Pf9a2P0ummVBJBlPXs3c'
b'O1Cjbo7BJALwCHhtt2/I+orD9KXQS7I/c4/t33k/itxUS7Wi4avv29OkX8n9sAet9NDndLxt'
b'3JIwb/DlCM8SW6+2q1ZZJwlzMsCd2rNgRYw1MxJceJEEIhPcPQTRQIQoiJoAWbPTHx2go+WU'
b'SHDDp1ZT+/+/cjV14+3PrUeTE/5NKb4UoE8xbT/OQeCCBF/LVv7VKD6nhl2BVW9Yn6MDux3w'
b'npV5snOxJaPtdauB7gCPb9GAm9zc7hltSsLsNGTSqZQhaSoCgEDgHvnTp67xPXJO6M+PofpI'
b'7/x6xZeuj6buzTpcLobWH9ndzaYZqD4wPfLUpr4VrNMDz68TsGF7L4OYT5WmCW7OGzrPoCPn'
b'7AcnA0tUH1MY7lfdbZ89+shtl24/YiSXIRLzW4xrh6XNg42RZX8ahijOkgQi9xPdanBfS1yr'
b'SXT3zV65qkfz5/InLm3X9S0zG2HZZcmEzvTQAwBqGsdxSJLhzLlGIa637JbF7zO8Nu0mSevA'
b'i5fhMBFe6ICwBmJePbnkESdSqb5Mi9sW3a/Td4L4x1vZ/GSCLxRSBCotBLpyhiDZokWz+6AK'
b'qnN0O85xNi+pU8W95GoofmVRSW1za3/tVZN5FksmZsQ6OtwLY4teL+dx0RIuL/qRe1YPSrNG'
b'Hvt1ey5Uy4Ac/fVYOSLeH+nUsbefrLHbxSuJq69/269Vg4/1K+4pGRhabc2/f/usVw5KVesO'
b'aDLALKKoamwrVW1gAiml1Jp7dZ9Xnd+Stt7Ha1ubH5HhblJuok+9MW5EJ14HLJn4TPJuPgj1'
b'ptsdSKtBO/6uhe/4ibd7JzIv8OZvV9rE3eS2+dVbpJrFedBHSvXUpccnWZd+PQTcXq3xr4DY'
b'M3P/5QhsAjdwskel3GA2n0TZ4FY5wi11Obn1Br/RvAMFJrIntSfv7BfJzWZtVeEi23e8dVNN'
b'ZBvq73l8bcKGFvkwKElxZJs++OD99957J08QSVJs8wwXcABGcc9B9iJ5TcsuGZ8bXB0xQnQ4'
b'MQhH9GruBl8o79snC7InATHm+agVrXl8nQQ8DBWSdAEWMb/DvBw2UHQpflYT1DVskTjJ3UkV'
b'EVr1zeAlx/noehxR8eaIQB9tobtn0JqWbnv845jI2lOzKm7Bl+dZ4RePaT2xvO00g3uEJe2f'
b'unlHV/tr+Xarckg0tez0iHUscXzm0zTlnNUMbmIgBKJu9OUCvklLwnegZP5q3awxrz0nFLAm'
b'WKSyhpB94pOy02d2ZVHDUY4lysy3ED3obTdis3QXtTX1f+R/DR+gaFVgFoUfDkG4Z18nY1rN'
b'wmn8mXUp1Uoys+ipuJZBQwiZEJ8xLiFVKA0xA7POni1yyTfcRRHqyrpdlXIx5ppoa7uOpNUK'
b'amgBFYv+LpixldxBUjo3y+W5c6KUTAWNa6sdlCPwyu7OHi108Xsnci8s1R0n3J31sdTaupq/'
b'zNp3LH9q9cDhjhyqpEID+wgKLyPWHrQqabAcBSEYF4JcUasEcyhLG4zbxwBcUVYLpYm8rZ9h'
b'rKuycpxZT/D9NyydIH6EyP7o23N9uZqOPw4PdMWRsyo3JNy3asxtRMEfb1kfvX91W77Q9zcX'
b'0pP+grfiD+aXfDRGgGs1OsF3PFrl2+ttEvtf6W5udLEpP3z48MMPP/RMoii5HVm8GMHdvU9e'
b'T8bx1HqwZhDbmWpE72ffi5FVcV408dIcANYHSZzlsS77yS26/BZLYMjxTq8pbFoEAit4SFdt'
b'9v+PvHddsiTH0QMB0E9EZlZ1t0ZaaddMb6D3fyHZmq3ZSt07mu7KjDjuJL79AZIOXtyPxyWr'
b'a3ZpVlkn3Om8guAHEASQiJLT7jftHwbTrrESES0s9a5kRsxEJ1dQ/n2kmfRuLghH4RNEPCO2'
b'QajLsLIb206iaKrIPx6L7kek/o4Fi4wqpHtYnjcliwixJCAlTSkRWBOpKsQsQnKE0jDzx7JX'
b'5zpu2VR1x9wZxVZ3OllLinxjvKZ5OK0dgRX9qIgsKto63qhkf+L2xz3PhzZweM7aLyJ2MjYt'
b'gSlICGQXZUAWcMvrPJh3PdjDGd97ns08ON+R3ufd+NH+r/+c3aTUBhtaOx2BuXviugrIMVj3'
b'715+dqjrRI6us+P6orZkX/50jFAucI/bt+d7vmrvpcc/r42pf3bPOQt0jezts+U/h33BMlR6'
b'K1+Zw+EAqO0Y1hFmRrlSNmE1FEQaj1V1clPKXZ7cATiisOsQ52HOjDaKXJ2bJcwPgNQ/35b6'
b'PBmDO0/MgQhjAIj3pWa4zocdAoBHVaq9fON+cLSxgRojE8fcTfJ8m/7O84tunzha5D81tSjZ'
b'8LTZWeJUeP2j3AT4lPQpWP9IZBpdW6DVpLJthsc7Oh1rLt+eOPASwIkkkDAEiXSLBM1XfaFM'
b'GpSIVVUVLE2gohIzkg8pn4vPM29y4/aJXQAokD2fIUxE0MEcxdoAg0VVAABVj0MmcggkURII'
b'ss7eF1tbRTQlcb/zKVPxP4jbLbBpIEECsIIjKGvU3jABA5FUbvLW5EkOAPMlFU9HqNL4cVeH'
b'1WctP8WLlqGDI57DTPp+em588uphCVyFVKLqhOhokda3J7INAEqqW7RDAHGYUsvpBw1ufzrY'
b'Z1IOSiIiFNDAe5crYM1PFObiX2SIGtaOQ/mRdb0PEPbBTEtnI9dtTMzMoZ4ATOQcLi5RQrgR'
b'IgCGiMpRzAx9gBxaWqXA2dP/7vmQs5eYoETjLpqBr11LyAGPzbfMA3UMtRRIFd3vPS0POV+k'
b'rhe1qwJbRqrO5TSXgF1d5ly42SOISDhQ8Y3m2yed3ViL4DsRg3e/Sc19XwOr9Xt7anRpEeLz'
b'NQt1ymXrCuvQ/oEkcvSxnArl5wMTJjZ3C9DsOikfsbgS8iq2twhcdNzWZgsKIaLV7Zh1xzaz'
b'z/ECdJyEKNaYlO66Th4R5j+wMvXfSep4aE2A+Qb5tLFlZmO++3zNeNbRZvbvKikRFcHmffD3'
b'n4j+XYOvmJOV32+asjF/Lu24jHes9I4L18dFjdfi7Pa2g7xr5lJUNo+WHJ5u356fvm2c2JzA'
b'aLQ1FQpAiaqs7dJjZJ+c1eTK4wxGEQDybV0AnF362Ga5z1ddR/VCsGumlg3VLvmZwsiO128O'
b'U6q9JFaosiAQKxNgLhAThJHDr+ViXat2gOgTsrJKKrConlhFnG784PM/YDqjScyRnI38SF3c'
b'HnpTizvtf03x2G2FPZaq1N6t0COoetI1DJrCI2lhfJh1R4y2r7MzASIQFDGlHGVXREBCEsxT'
b'brE57/3M+lY1pVWUZrUUnMAQmJUjJbFrlgrlqGCiIHKIZ0II2JLCrFiTqmpK50Na591nc82T'
b'6m6ykAgzB1P8k7BaPDBhEcnK7nIXM89LUQ4yZe2sEkqYXi1xACkH28jCkRv5WYPzXRTJp43Z'
b'EaeWbaxYik9nsDYsj5gIPRIsa/7pGvG4tvObSa0IOhv5xtDL1dUU4jcF3o8THAhBs4l0zZuj'
b'pum+M+EAfkdjZhZpvPVzMX9qBqT1dmr8VoRrOEWUOzCwO+7F4bsrpxGuyl6EShE1Z/bjZmZn'
b'zpVtrYJr0ON2IJpj7Y4xjWOUe1JEN5olwG5+2+axiQjLIiCmxMRGJpXbvDFd1TD5MWpSQ4hc'
b'1nZNjSWqgeCz1lgINhtVZigIamIjcjmgwYu/K5zgbcd352ttpVmy9Lq7FgkRsRS+u4NR6fLn'
b'Zri7BOPktuoNzXr/+qSrun7lRPRMr+4mgD2RMvJOwwYTMpi5XDdzdaEWnkVksXAwXL7u+viG'
b'1Lk4LE8NeNkQ1TDvLQ9qUwu4efZnM1wft3Ae/FZlXpl/E5nn4MomSltauTG000qUfTWMVxv9'
b'5z4ViNPnnObf/yzYoivON6/k0HoU4PcSWLApu0NnFAUBEzPOwxrVzcnKTFl5QyxgohD426+/'
b'/uU//pe4KZFAVyJSVEv6lC9mgXZvPNYfsGpcOB+uohl5JdLde3957kZjvPDHDOUWDiJbUxTP'
b'KtUbaKsYc/kTLwFI5p+DiYMhWN69BXZ875APZ0+feaOyXSiBFpaUElJKKSERKTN63Vs3+Eev'
b'uoRjoPAQEEuuqxgsa/ZPUvspzEIUCkDxDSvfZmUkgKy/V5AEzRrAHJIiMAtLkcoKxxOGkuFA'
b'IiZCVE3lbl8BtIRiVGZePrioRYFd76iqRM1N2aNxYGa/axSlG6P5bid7tHpQkIBthyKguH4v'
b'F06sCGZaWCIUmuMoq60bSpruRKRKGxJFJV2CPCVVCZQgdjXWVooRT4WGzVow44DSNWZGvtWS'
b'mZoCt1sw5T8RBWIWTmly1lGLrdcoRQTKIgsHbFtkZtX83LT7QKyf1LGtwYPByiIk7maOMoUd'
b'JoIlO/t0ynYlCDNBSFQ1BqGn2w1knsQQGKzVa74apTEzlIMNl0aWJyJKWTGMnTaBEiIAsiyy'
b'2E4LCZzKTQAUh0N1+iqVlj+zXXix4NmbXWUAHyphRC87uz5Y1971fv6k9La7Ppqr48yNyecm'
b'BgVPKt23ezDyamXnaXvY/mpf8mqTCcvaNxqrdLcp4iUsRCa9Z9tUP0rW77bS0hHXBSYiVsk5'
b'QQSRHT4FF2nYaFg56yUy/yl7dL6ZJgzkux8ABESUAnFiJYLmii1wodCVQGDnGU7zS7VCBqXq'
b'eTAPX85pq6gOz09MfkHuT1oVy2fW9XmlfSxd1QFfSTuP/t0TPs3M42Eq6n+izGo5X10CUThX'
b'qvvUanN//qAVtYFV/WhiL079+8j4JxG/j441fU/FTponPujarFXF2IIGtduNIAry/PT1y7df'
b'NRmzNH+Zkj38lCBBpJF7ASAnj7n2AeFG/q/PC9pI1YW/nXIIL7ki1qy2QY2SA9lL0FrpidNP'
b'AFVtSQdkmTfg9oDdT8E+Vk5cYbaICBYojZk5UACno8VycTlczHaybZ8XVQeqQyf1k32ftu3D'
b'xfliEyyqvUcB8SgOA6argJmrpHrSndb0KCcfUKy2FjjbbjpKOBmE8aH1VZz+34Q61vyfNz8h'
b'ImIl3UhjLoGJOECCiARWiEz9pe6IsNPstjOiTEGlLIosfDKRELMQiQQKy7JoUbWhTV555EfD'
b'KNbDQW813i/eLAlEApeQt3ZXmclMYWu0YxsRVkCAVIIh2DKxY0AmopCjbajdGdBi/8JI2fYj'
b'r2Y7VZwcuobKVziH4ciYmAtVtr+7td+NObeFm1sz/+F0mTRPjgl7KgC0Cohds8PtVz7DWFrH'
b'x+og+A4erXFf1BVu42WGo/xv2+uzmYYyEwaLWM+6azv9Q++AgahczSdGCV5ZhUVq1CiZIJfa'
b'4s/aswGMUlcuHEpkOweJedRgO5Iga9zJwJUW/izPEKjw4SQPFxhIE5/l0zRKHY/TYAYwLbZp'
b'GKZt95vv20bME7dvA7sn16n8fFqP29B4tvH0y1wvgz6ctIvpGNVfANN/tASAFKT97rW/9Sk7'
b'1/zU2j+c5zxD3dfP87yNEc82m2VZEmO/62NHWSBQEl0ASN3ys4pxBx/dblr+7fx85y5YeFEq'
b'oY4BANkpZBUtqMBpRTR+WP2iFp1S8jHO/b/M3F3tna7i2h45GDr/Vb4VYc1DQ0UF5krn0WQc'
b'6otzNGaDq/2kR7xrTPOfdQvvujyt0YNFJuqsWJvM2dL1qiOsU9a3J6qXO3F4bgxnjOGXRbdG'
b'fI9GaHuUtHh/RymzGCzZaVgu00bGzkNgdvnZyoWZgp2UmVN2P/7jD99sKeCgnrd0948LEUDJ'
b'alZe8sZcJ9pD0inf6PCfG8a5FD2OG9pTlHOSZpcAJhJhECx6biFgZ/KXGctMXzmSegjBxg3k'
b'YmmN8QHab+ufDcewO+Azo4CuKD+GR/R0CL4PcpY2DAzKCwmDMExuOVA7YkftPxqWkTFOqxvX'
b'19HD7pVrW3BVEGVqz0+csyK27jdhJVvrICJiUjBUlTgrIzK65kD5ZBA1EAQGD1SH6ZxbXUF4'
b'ueqsxjCGJSysqkLiTA0S0zyuysellLEEzzc/UvJntecd6byEN1VxwuOOMr8P3E+z4Z06/p81'
b'cYBWz9yW3gooSzm/F2kNsspbqx434+tf5d9vqu+fnU54l6GZbdtSAhHdxFzalytfROQEUbcn'
b'meZJvbKWy5VeEME0BxCwMkQ5MQSUlnArkr+SMpCAkF3711uAouWcZ0kpkew2UZQhi4AhXdyA'
b'2tQ9vKjsHoE4dE+ycfMQk2hM1r18DoCCxYQ5CCtTawLrvqjtaX6cVfSIyYy8iJ3GqwEHAyzu'
b'PznVpnvfLL6c/Y1MQux1W0wngdDAeH2xDus8Hqjy7RtUM9POHo2AEoK1SrJ1dddyVUVSQoKq'
b'QgUWC4yAeZl1KMbRaASwsr5qkmInsbdNNaV0G67k2rc46JSV4/egc7ebcElV82keUTfm3CRq'
b'9eJFZGUmCspmChVYUyawXc9lkn1/CXiEfbUv1VdMsSabgNqWqIq24hgfH62+KSA+Su/LcKSG'
b'GPNXDkzH4+NTJ/O8iR119T6s6+Rb357aKi/s+TsD479dSu4aQNeqdlEEwO6VXbsEfCS9+XQR'
b'MdRsJgZkZ3f5tjRztvxOY3Wl9J/uFXrgiZ3d/GNCOcdPXOyzLzVGjCcc9dpYFRPRua/9j6R2'
b'Gobyj084Hi/CoXxuNf21nLohUh15NgPHwxicn54Koz9fCIf+fwAcSbafkSY3AS6KcKObqBMA'
b'dPHhT00tqO1fsd1/O56i8wbDnYybTjElZeb7FolUKdXrtnUteBBT3UurZnUOW1QBsoDoEDCY'
b'hViJhVhZGHbnpUaIzM5myh9QixDEimrjlI2IJGvJiIiVlUohxb83udul+202IgixKV2QYMEk'
b'mdjuPpglNCnxNOxyPlZ23i2yHwwFOAEiEGUmYdVmEIhoXK2zpXTmfvHC54c5bazG2Z+IDQeq'
b'PqD4LpzdIPSUQ6eLxUjknBc4X/I7SkMxU/ZbzDk9e1MuLccX7hOz9W8MqfffNnc5314mM5N5'
b'GW8/EUARk26oAiGZ2Q9fFEu6vngcwwXHN5mNq8rCITAFDmIu8FHs01AOJby04Id03G/8PPqh'
b'9njROZEEEcwunAqpH5Jl65OjID2T7djk7+kgoaU2KT4QuJyBcDFeryPmzbMa4QO7bVUlYxzQ'
b'fNeGti9Mw2Kh4zk+X6p+bGtHRogPpyLs4Lv/k8oEjfViIIPud1fOxfa3VeTdY6x0SktatBRF'
b'Q95AKhE2TaRbZUREcEtj91WSGbyWkgUFM9HQIyUBHZ8AvE+mOS+n5VkZ8pvqie3aHjGnoJk0'
b'deJr9sO21Ofo/HNTXY1ucf6sWo7ePoQ71Kknft9UuU8nLZyg14lc0TpT/4T0edG7/in4GIR6'
b'JeBn13Ux22fxk5rYpU8sttv+U0rITvTqzZByzYuIWrNswEyDm5FHMWVLViARKRTEggRY1AFi'
b'BKSC8ZQaRbNWlSR0D/Eb3BJhtsumhgXsn14C3H/bSsn3RO1MmIlgVxso2zhaj2QqWHY/TMdK'
b'TIRADIuZUBt2Pjt+Oxxn4eTDd6QrBY71NmAx50lA8G+Zs8uX7sNzIDXl211108aMH/pmH+0y'
b'FaEeVe1fzXYudOPQdceSxqTbqjFm1VWR59S2cxF2DmHYqZ99yX5BTRtpr+y6/f5JdWvRjoNV'
b'pUPhXRUjNEQraPm33BoA167UJ2E2+3kwicgQKrOdpDBzvaZOReXvp9E3cp/oYUyYuV5Wbu5n'
b'eJv1wRS+ctG3LroRQJ/M13nJHWGjvRl8VFTX4Gl7OlBRq6h3bDpE/laOVJ93q2YsvGuYe35G'
b'mXWj6cdqaEZ+W46adTYd5YmSedJ7hxvQtybl3WiJXSOABJAIqSqDBULmxKqsHJbO+xgxm1Pp'
b'j6pRp8SaRz8zkQfBtz+rxiu1eIbuV4gjF9PimP5hRK4HCyn3MaMB/3yef0DYHfnOPzrlKXm1'
b'2IL3KzbHLJy3ihvPPy7Dp8oA1ZuT78XeFwgzXzT2Parho008TeNWPUmn1v/vWALTMZmWc2WP'
b'7zL7VTCWM6bsGeNh6fO6gKJENCchPk9eg5S4YBpqJAfDPtETf4vFExGQfXUriAn54iTD/E3V'
b'ucuHGVaOj3ikyYXjpURkIYNRI6fujAJExfub5ZehSblM93ZsdqmLiIiddwuU4JYGi+AuB3cs'
b'7miyWkzMdbofwRH76m3xVXSQaY62yQ46AKhD4zMwc7lXvVOO77h5qZIGTFPtr19+vsaUipup'
b'XV+b0fPDPvptonkOE/Sce4PTQvK/at1OzQ7OdRW09jNpS3FLupm/G3Pxl8hQrtbLr1SDKru6'
b'dpBqDynr++oeAVA5gWkU3omgKamG8nm7HlvWfQ5SLYkIkkprUtkhRdqnctfrW+zn1ovivKIs'
b'AKCuG2G1thp8FE8aqtGDHhRZbkQUO7UQ70RYICM7tzkep1YHvl1n61ed+IR6u+P4hsDRw/NU'
b'uzAiB8dgJ1+dCAPTbJ1bzCsN7qae2vF33MB+5FXTZav6/r0o6imTW85I4NcAACAASURBVEGi'
b'm2V1sKu8Mt+SECQCAcwkDGQunXcSpaLG0tw8wN8BuIhH35dGfmS/s/dofzEgMNRi1nBm7t0m'
b'/qlQ732g/Eo6WPvvLOqTSnqQcHaZ6dJe/sa63lkIcOhu7PPSXOOlD7zL/NPTJaKbEvlbKf9K'
b'/o+vph0QDGjyc9dFx9nrfmO2GEiRiLJU6NEt4ImEd1ugvUxXvrE7LqcCZkNsoVq07n1EIE7Q'
b'fORdDhl2rQSQgvdY58ElNXtGHaNGKnBNGqcHLv+UnDyW2hGqg791QDzY7UZjOne1ke+b2U/5'
b'sBsS35eCukhVx9Bs/nP/ryfgms1htcM1UvFoKarOfj9vY6+7xdJAnB7CvmGFOgoEKyXa0S6T'
b'ErIhPmLShaICSgpWsLj2+0bqxO9tg64MHshOU3lVqu7oDUQWBcyc3IPQEKKjUj+AFb8y9wYS'
b'XO8MtONapxWkdgXenucV2k+CGfWg3IZxvTOWEoQTF5GFRYTVDIFKNpAxily+64XZE3bzzi7V'
b'GxqeT3JxvU0tSUzV7ZVCPJ8dQXb992j1XVmS40oZBd2uiobFuZb4LmN2kjClt+pLYGytH4fp'
b'50M3mT1Dbtvc/Z6W1lU0XcveRy2qMABmksrXm9XKTLA7Amqee0HcmwBN+ci0t10CwG6gx441'
b'A8G7qziYM+kcCcCGODFruRLQbEJQCSwhSL0TR0Tnbi5PGuwbNtLuONlcZLsuHZFF5kQtv/Yj'
b'c05Jnce3aR5fzgWF2bSQsdeTbcP+mNYrMhJx430Iw4fTVLIZHdtGNbCAg63q3Rs/zWhViGiw'
b'oKAiENDAgC7WUor4iYl1RyV1GwCqy92mMR0djgyOi96oZjtiWOTWUbdEzudlWF9NXUOevJqM'
b'91lIcwBCLC1pHFVat/wTtlv+yBXVvBVGg5LfRIOZWpXNGFAlmG8DZh65k10ctN9CtsGDoJIj'
b'YJAikoIsJAbAKI6g8zwqmS/alKqGAYq9dWU32Cfd5jGfrbGqwtHAeM2u5bq90IUcqKPfLycM'
b'n1Ajkp7vnUfpBFLUHU6KX/lTdurFIfbTz0RLsbZvP9l/7y7MNY8tBwagiKpL3Y+5RA3bYWKh'
b'Ho9s6vNi8pVnQUTqoY7B6C5oLrVLddzjD/o+BN+drX1fQld4VllSYCa0nzDbsQSr2mQJadru'
b'r0TKvKhqYJHbE4WFVFSTtHix2gL5KFH1CZUmWiQ787BZO2mfKFgkECNliHwoVe52dLmbWsnG'
b'5qCa9YtISimv96R1BEqv64puXFrV0bNIXzt9crktgH2c/YAvy8IpEYjDgrQqdBEhUEoJxCyS'
b'7CBIwM1FBpMQhBkisqYYQoBiWZbqT4ws/FmRo+qAT3dk3wW/F1Tk1m0Q48Ls3nabxQmjoIGk'
b'p1V03KD7pP72R7JTwcYvxrE7R/0aF6MfqNLsTDUnzCSfGR3vipU/cDboIiKChRizkxj1/pd3'
b'l7WqSknzhXQWYmKWBDAlIoUmQlqItm0Ly96juQnQyHnPN/Lx84ffjrPrB6CMrLYTkwAjaP2I'
b'BcXIK9/Uu2niU2x0VOnRJ0c733kD3pT/rWnsRXnyTnP5aYPHjh+xm89KwxSMNgKfU8vPnqCT'
b'1FHaleW552yHx/O7bi85oec3pZOmTlOt/aGAdWUW6plkZUEAAykQEyvTUhlu18j9X95bNTbV'
b'+/Qon3ho4mnP3ALWy8HNaXJ3vgigKn7OR8D/uLgG288/gYw/uBauUEgLs3z+wzIdIU2qA8BF'
b'W89OhBtLeEequz4V9G8CABU69CX7SbQZOZ/3jnV/cJFWm+Ss0wAq7AbKlduURErjZWESdeZD'
b'R/Cuvuqp1Cozo+UWqFUcwLxHGaoUOi5VIhr0Smc7zrjr5UXq1P8mljCf6SC6twBYLDIYExGE'
b'RXvnUWOThqfZdEJa3SudSs4eNx/JAH6QPZ/vapmuFP9qWtEUf4/NOKpibMbRn29KnXxyLnsc'
b'v+qPXIim9LNPdVcvDeI3FTJWVVMaVO0AMwO7QsFWniDrLCAW0SaxggkM2u73v/71f8btTkQp'
b'bcuybNvWCwBTUrMDsfLXB5A32/eBqFxFd5Z+sCAytBOoOfpiu1QngUp8uM9KJofNihzPFnb/'
b'Px/fAg+h0hCR91rq4/t+4h1WV+b526MaH8dtaJeQAhAsTn+ZHxMR3IwIFm5bhcPZvJ52KAZT'
b'OzmxdNwq3rsWfronK5/q1lhNgOtvOSWT6+Db//nuexFTVD2tsVW6oNJPoMbn97Sox52CQLOG'
b'u/uwll1AvBig78oU5DgsrtFlXRN3HldAicFEhKrChLLp6AlErCi21w56usIrn0TORtlr+D4R'
b'Ow2XtebuVmHvFLieIu4oTxuxCgLeh2LcLD2GK1PjPJUVT5n9mB8nvy9e/2r/9sJXZsF93qZu'
b'S6YjcHmQxsZXMnZElavwuv+xDd1vZkYx9nhM59lTXCO9n6Z+H6yAo8Jy1RrkytyPJKRNt1VD'
b'YNu1g3AQsAgl5nxZbUR4Hu50GLEZNJgvo/Kn2wDsrgXXnC3oxFBLXikGQwcyJgeU8xN9MOMN'
b'bu6QLpyIUhQEzCQsxjJhQe25RgA4UI8ecNcqJDKziQTsQo+dNLWrJYtV7qUMG/8UzU/zeDQ8'
b'XchHCP5EJOuweBV+zgWJMb2JsZzkacvho9HuqgtDmwECDu8zAUk1UlJVjWlNKW86ZiZaQ2sn'
b'ApFwkEUWBmerUSAgYlsppu9//7dfvzynbWVA13u83w8vAbdL9AGnuM6du0U7oYZ2He7yUJZ4'
b'LCgmvfMQADIOcr/OD149TKPoduWTo/wtP7pY3s9KH5GtLZ0sxfGt/zMPTub4/VfzF5+QdhDz'
b'2SX/TqnZUIfnD/vVIox+dZzP5lE5R6/ekerC2YHmtWZcLJnKCSl2lUSk7OGn7kNNsdN9ro72'
b'YfctUGgdZ+SCu2ylWB2emFRAtYSTnvq2+fhZ9LGZ3T/h7CjpHLxeLPwco7z1w/dVijaVfXDS'
b'F5s3AD6EU5fBfvBwL4J5ov3NbkBbSDGd35NN5OMT0X9YrPYBMntyP14ZKiDlmFwCBYIsEm4Q'
b'ERKRw6mZYP1hBdWBU4L3EFggQQ5z5Eu6shzG2muGEQAIcWoXThmNPudDpmQdUqLAgUl5Yseo'
b'Zu5XBMJmsGs2j6kcSp6LnUeD0LAC99vuW3e9O8f90z+d49RJ7dOvTvaOKw/PWUFXy0OmcbSU'
b'HEimmZa0EVr8D1/II65VHNqmFNO6bVuM0SThag5ke6ACEA63JyIiE400BiWFLiwgiKYvy/Ky'
b'vv7p29f7/f6nL7deAKgzXRqks169OdUBqkytRgVn5ioT1wZUV15uEBJx+CRH6o9FGiIqAsYb'
b'vEww55s6F/nsxWzH0QCyPw8i+rSL0aO3H2rMRj32ogsrx3/1oOZ9NNLO4JwWqip+rtT47tRO'
b'SvaV9LMr/RlpTl1v9PxzRKKHpHttnN4NRKgFB5X9HVTb69KuNOyiJG85UwncI8LZQ7O1x6s2'
b'KGRtPkD+cAC7pT7DTmz3etn1KbPDvms5JWstJeJLJ2CoxtLcPyei5gynhFQoEH9XIh8Wbj0q'
b'hwyzvc3vKVe5Vrdl0iPKvIJ+jlvYfyJEjOa0ZF7UZQ8BUxyfL7xKvs8qIjz4wTtvwEldhs65'
b'qEX1cgnlPnuxQDNT8tA4QrUfrAmwm0hKRFBW5iCBl6DCpJ1W8XAoxvZnyRhCxXagxVKiOWzG'
b'Xm7doUbQeURCY6setm2UGLuvru+PTO5+dvuVagYhJWbLRIVqlRrxGMjq3k4FxekywfhkMPh8'
b'U7oIxD0tTaWvk6Kur3efxrV/nTI7TF+bPc1Zh677QUT5LhgIyAFcuOwMAOx6DSVF2lLctvV1'
b'Xddt25hynN/iqi67xkHglJIuiyzBSF0ShGJKun3/x5PI9vID27re6f79x5cvT5MTAN+fK0D5'
b'4UBzSfZbnJuk/K30E8+zg7DuTvD70hFVfQSR/H8+jbL4m0bsHUvxkUz80xMwicnybiL5Pfti'
b'LfdN/Qhtn3O0d3z7psYcbVqVn/i3g+bizclhgwzImDOnlck+8eY5RUH8uRqg+vZhuwAM7Gp+'
b'0JFlXTe5GdMwkGODTfK/CXJ16Tr1evTv5+Ud9H/lqxMZYPz2CFJcrNdgaCPXDVh2mk4ED+qJ'
b'NucPIYwfGs177ygd3Jz27nyzOxqoeYOZ7HxDCQLsTW9PMGrkCgAKFRIi0RxOA/5en2+Sv6Tr'
b'V33+PWuP1Zs1QxB/9+YE9M+7dnD4M83ZvWFmFu8V95DxlrbtlMOUbSa9AEBEOxOQbN2RG3nQ'
b'nsLwOYQQQmBmPVCJXFmJNUud2QrMTr86FDBOpI4pjD7/3KcRmVxM5/zwuuAxZjvfMcehMHpo'
b'vfrsSVUVMWnctvu2rvf7fb3ft23NM6J7NgaDiYIgKeki25IIQBKFaFLF+vr666+/bi+//fLL'
b'L4jb7RZE5KcHAqvhOUqpbFqSsrnmq/2uukRE1eEaUfZyTXvwkI8m3s8Sr4g3k0MHHqTktvBL'
b'uGdKEOeF0L4kdHgy5i2BUT5DthkZ8WwuJnjlfMr8yvftdBznEAN9CjH4mwP1PMWvww8UnWNK'
b'fLiNb6nTEVVpf+f+4uzDmvZJuexX9KKYd6W0Lo00zJx9rlABRt2+e5E0HsDidu4cp9pXnIVV'
b'JyKAky0Qc2dMBDSnaVA2Ffq+YTMB2eBWoeU6gXJZ4NW3Zi4hx+iNOxL1cNDKL9PdoSjzKlGe'
b'5K+rxNCxs3E891fEJ9zPJwHV27Ld0r7w9eSr68RTuYedjYS2wmk5+a7STNM55QOF9pr1VQly'
b'yu1dx8UffXgAbXVNob+v96gX/hPLYIfmqZxjjzi1LpbzEZ7iSeyGcHvHVTXGNZiTLlYuJkEk'
b'jUF57anv2gjc/VtbenDjcJEqTvh5N9p7e4aWTEtuGu9LyGiFgf1YqN89S75SlzkIhjkMqqOK'
b'YuR9kgSkNUY1EwuzTpTN3XCNf5YfTc+nmY/GAcLGVEYaPvqk+3201vyqvIj7L5JHV+bRhw82'
b'i8tLcvikoWQP/QEk3VJK231dX+/r/X6/v8b7usV7Dl/gBQBlCIcQIElTEF7svlZSCCIxqcZ1'
b'pfV+DyIxxacvzyGETw4E9midTASAgVIWYmVI9b9BFnaRsSPanPVDvoD+iWnkwj59Cq79SWm+'
b'kX8Gxv0sQP//2wRKBZPqCNorc6nY6CKcGgHHlFG+b+6OmuHEv/Y59gxdqqUgXzyd7y5HT/ZX'
b'AiZJFaBAs6dDG0AmCwWBbPI9wYhcruKNhQNoYQB2XqYRRT9aJssM4XbbWWZGg+TyfUoiIlbO'
b'zsGPelYvuyqyhGLXD+YB/qa7HWAe3dHfcm5qKfN0zBY+ZbF3++VRBk+idbs9L3baNnB9S0RE'
b'nDXZdjQk6OHddWBaJ92nOgsOnUwQSc35DvBxoW0NDTCzyaZWVCrmasws0LwGkaBRY4oxUpAn'
b'gDW7LjHzlLbje/P2hTzjJ+5t87Beq63vucje5aa+EhFpteM9WpUPh8JLLIFE67DXWaiTtbOj'
b'fC4hxNoFMC3g3wRwWzWinDOZYSEUAmGcOI10pRVmkuGgq87PvifvAzzaSQB7CZ0scdgMh/bI'
b'LcOu0ocbR8eCTjYLeuQ2/Uoaq/NvRybTsZcrvIXNP0+r+fXrvavOplJjinGN27au97TdU9zS'
b'tsa8PYGINJGqGuXR8kQhcRLmzXxMUVImaNoW5vV+f3p6AlJK2/aaXjXOBQDeNa8y9mocaAAG'
b'58cpYKRAHHPnb7QztUBFl0aU/WEVijEhwYgpEECscEeEKNFA3ueD8pDuC4sVT+gWYDOL6tUV'
b'8eFk29LNOyB2DapxTrP0pVN23NGH4ylaW5ilRvcV086Sil9wY5Hzs8DjC0qD54f8b7IR6FgJ'
b'kxKa80b/u5hyJfvNHFqgdmXFmtTXjAlRdgjllqzwu6RBr8ys/kps3Aj9cBvXfkctv2tSaNoK'
b'fjXFsIPsWlCjEwmulNrtzdXjzHQdnCyx4eHET1S3BCyPR/9QXli4GEsQEYuo9a7ACJQ2Vy/j'
b'dZ8e7Q2o2NdqZn2STSqRSJXCjSCJMucRkCIpEXMoFJEPZImIiUkR2NjG3h1jjzunQc5QHYMy'
b's4ChMGt+kyTMXXz5JgEgBcECDykIxBa12k6Q/S7Y7FjMlGMOkDJLcYECh432vETZ6UIprfAT'
b'YdUICbYQrPwSEkvROKi2OeuDNg444M13jn1RAGoUTPdGuw+VhYlVGxyzgzaAZ7bploRYgkWg'
b'Ry2RilUG1xtrwkQNSOrwDQepVMcKZggHIlLe7MqskYGIsIRUbKiMdHOgAs3uWcwUx6PhHYaS'
b'RcJKZDsPUyqvyioQasl+RDZHI+/XFJRz5B8ORCrMZqfOHFSjIlr+pFvIfiolxqhEQImsV+q1'
b'SA4dYYyAteZnZmICcuyFfZal3DSlZHQVTKFukbxbeAeAORClRLC7FgCAZMSjqoyG47kWigls'
b'Rk7qtloTPHJ3AuXlXw4qXSA/2aV6A/cMC87KsiB3UACWwAAClOKdQcSiA50rlYpKM8z3fwLY'
b'fIxal8sNpRoZoGUOXH8AuyDhx9+PRs3fiSagHJPESK0OTaMM6ES7gfSORYtdsTJZp8eXjCvz'
b'p5acxlr8J2P3u2z2pN4BI877rGC/Ng1wbRgy30gikghJFRbFggiq+ZQsKRElSgAUZvuD9fUe'
b'45bWleK2vr5oXOO25fgntuNw0BQDixI2YZGgmwa5EVHSDQCnGMByC6+vP779+U9xuwdiYXq9'
b'v37yCYANjv+D27Q/cXfLajSawqAF9tKwN5OFdNhZ9mfcSz7rwBuVJX+EkscUiAlnISc+mC7u'
b'3A/TOQb1e+pxEaOzso+n39V052OpNtUi5ryh5dORr6PN7a757vZ9eiqNYWcx7zUwcycY7bdH'
b'JZscIZpVDTBGlLJKomA4kFD2iVmL9XC/aCr6Ssu+ovWPaXtc/rFMMyJS7BdtbRB6h6Szkq39'
b'Wmo+QtWTY/EyGvb59NxAmVl8pIPPSyOX8FR6EcJ2X/n96KBG7Du3CVyDtt7kH8GIZPZdv2te'
b'h6goe+yQbuvsMhuIHXvqq5hOaPcjt+qNDDM3g6rEVOF4nppAnAh21VdVI1SK9S9zAAlITD6Z'
b'dY07De4UpcGZ9jGzMokaxjW+Z0OaaDd12w8BQNmXjnlOzByj1dp2lNBNHzMvElasAJDD9DV0'
b'VS457JjHNbtFveXUKHXRxHY9iBGDEGUn7gCIZXRJ0hG/4e5dy8ZEM5BNNGGPUyqdPqzPMTyf'
b'lvyJ6YQJdM2bbl7n6P8k9YNcl1X7trKFqdhgSVVNkANTgjb+EorKSQkWTyNtMcaY1i1um8YV'
b'aSMoQbd1CyFYtdv9hYg4BICjvnAMIYQtbjFGAMuyCNG2rdiIhf/+/Tek7duXrzFFWQYvQNZC'
b'7CZcV7wkP05Moe7I5bfUMcr++Ae22IzeMKB/KEQyTUc700dafrS2xhV4BAMb3f94TD82reQB'
b'wKzMNJxJyhXQOd6mgBPHx5VZRo893z8o+ZM5znSCbNm/c+Y+y0fTSQ0HRz3vKGcscwIs8p40'
b'L+SxzLanxyMzHfTKaq/U0RHY0VcAiNlPFnP2zB1YEoEgbMdRHIiEYa6XZ7up8t7wgjOAxMiP'
b'u8Y3DYOQQfwOoMDAjp2BEFWnPO3tFdfTRmnXLi56sKwsv7reWYOFpRzyj/is9gImIkDw4DrT'
b'VZo92vjzSQM/oITasBEwmcWYDJl9zryp91VP/qwfevpU1UUCymBiZNc2WjyBd/7fqQDwpvTx'
b'TbPjM7VAZWISghhusbDG5k4/u6YxMWFInCOe9pE3fBXnXqcMeZvdeRWUpxU5fWSwuzqclDtI'
b'B+JmEZGUWdsGSX5spJe4OjyaNesNIedYIiN+BVA34/wnz/mqrzH/e6BT48G08qg7Y+Fd6nX/'
b'js90T6afH5VDu6ejeRrLP5zr8qMuQ6+MP2nYVJjppmavtJiuoE0jy6VCBqqao3XBHZmmSCUA'
b'SIxRKeW0bXF9Xe+v6/oa13uMUTXFlAiIMULpy5cvjBrOvMYMJgU4sMgNQNqiMG8xPt9uSRWE'
b'H5vGbVuW5WecAPSpG1Dv27isxv0tZqDwCHidT+THkzE7boTqT04PodLHWfbPSwaPPisdzSaX'
b'wzXyPO4npWJA/0ce9kliLbvEBFZ26U1dO8r8sJC3yABvS1eKtVEYt7ruyZSQUKCzagLAYHPB'
b'G4qqgohYhZjAwhohc6cbuUayKKgFZLqdgkzfUzJLUenX7R/FqMOqdCr/Ki3Yk/EOdAPQXf63'
b'DeN0oA7rUjQ4HHJyDeBNS/iclj5Iz2V4Jzrazv+vDfgJCzrp1NFKzNi3RRXcaMEOdV4NEHmU'
b'3r0ePYTyayoQI/sp3c8u8tuklFSZ1W6py0JhoZRy4NsDCPvmeRzuTaKoJNrOSpES5wac46xV'
b'UMJO9EV7GdcPfiGhSZldp/jAfMG6w8WOqGvRNDDcNB0dhTuQ1SznK1RxfaliELBHOPfBdEQ8'
b'D9MU1p9nG593HcSu2Rlmuf2qW93+DhUANgugAvnTFqNuqpTSpuu2rfd1NQHgdds21RRjDCIp'
b'pSXc/sOf/2LXe2OMX56WGGMUvt1uZUfiGCPdbkSkMbECAixLjHF5/vb01AsA74/nepz2WwSz'
b'ORCiGqnUjsVLBDui5sALQgO/Yw6/g6mGsZXKXN5ZwixVLvNBqATnamBILmBK/v/lETuKTJyf'
b'e3WOpw09eP6hNMrie9s+qw4imm2rjZBKdEGd7+5R/HTd/+dcgzl//r70eTLAGJl7T4eQrtVW'
b'7ps6ssfNKbRSTURMCKRAUqTIfCNS82eT7d2N7SsXNz2Jx20A9YauiRBKADEYlr9RKhMpQSl/'
b'rvlbBQHE+W53lQ4YZoqjlqeqJyoYGrYo4vZSMhe4AoDkAERiBysZWZmGya4ZqOPSuYppfCzB'
b'YJFfpmNyHjhpRgtAjzJfIbMpyqyDZlY4YfYJoXzYmqCICIRxENyq6Laq8r7H9OXPHL6KWrSk'
b'PFGyZvH+FPHsu1XbR19vRzMfSWUR2ZIAsYr5s6IE5agxBl1kR94j9OyaWim2aXNXIxM5tt/i'
b'igBwRg5obGYqDrNLF6R7JOAC03i3MiYix3fgQo4cjUP3wqZLDibLd9B/WXVquwTSwkccaJf3'
b'0pjJXWCYJrQ6Ao/Ou6/UCU1uwOlE8TeVAa6j/3Oj5aM7Ax2R16o9Ofk855Q/vt0v8Lh1TUQx'
b'qwv3ys/7uWkeancjKMUYoRrX+7ZtMa26xU2jKmLcdL3H9XW739N2X9c1pWhSgjKnlBhm5Y2k'
b'G0Ofn758DWFd17RuzLIsC4gZtCy3bdu+fPlWJck1rmIixNjETxHUxjIdQR9WVCWqMbkpqRn+'
b'cC6A9uX02drx8xq739Ot7mKaro0TvPhBWsE1xcDPoMlpetyjn2/M8450fcoufv7BlvzU+frE'
b'wsftgTmf+QlR0o00ErFwADYIZ8NftcyilGxHUldgu7OmapRgGZR26//yb6oZWKEMc26Q16Eq'
b'ym8L7eg+VYaAEkNgcQSoVJo1I5yvhpIyWClxvgwo+Xoua/Y+Xjhvx387brD/ycrMUK7llO/q'
b'SPT2yg8h+5SVTZtBDa+7RLpTmskymIekrroJkgCoBKIaCzx50qErD+YMVIpDFQBGjW+uvchj'
b'csilJ1vqFAO9KdmiINr90u6gtFV7s13cU0VSUFRVmDtYYoChZubeg3L/G+1Faj+q3pOOjVad'
b'KY/J2F2PJggQsYe+m3TNQDa1s5Px2eP7aU05fqLZg/jJePZFHW09zFxchDWfAxAXf6BLgmb5'
b'1T52lU6r8+PAwieZjxIP4u5nJRlCLpyAExrkpXO8AfQnGF0aF9FRXr8R+AZz7whIAWja0ha3'
b'+8u6rtu2phjtTnBMa3x92bb7uq4xxm1bya4QqNrx17Zt9x8v374+f7ktKolB99fXtG4Rervd'
b'nviZLV53UgKJqsZIQAjh29MzkdLzfgfgih7xPecAcOfmBKkrpb51YzkvuQ1G/ROBxXTi0cL4'
b'IwJ6uDzyV+3CmP5+UI7L1bCMXVdVfudMTRse12JW/gesgcaNfBgMns1j3VzfJxR1A/V7yQO/'
b'8z3gj5yzvT95GMTOC0R+O8tff8+sWnOeT5mjFt3tV03YJRrEtkrnfturTzJHVrD06hrky61Q'
b'aIzr9vry8v27SMjO/qteUMHMCWYu5ryTlSqYd3+dxRHWXgURCcFMghIg+8aTzFzIoLz9a1Cd'
b'QWAdfOorKZPABIBsakREpCYAONMjNRGgGG1IfQ4yp54EJihInE/6di7gfpTlnB2JcvaVBo1J'
b'Y8o+bQ53UyGnAJumCfy9lvMd2SrgY+aqq7R/QwN2swDgd/TrDRjze+j58OY+M7PYGdFkWfGB'
b'29mzBnxsdTZESHlfy+daGlOKkqLwokzEASRJqbrswyBcnfMKG3r7pUL5BAw2GTlPXde5DSQg'
b'UmquxZvEIMyBOIuwzGRe0XxdcFM8QEyTO7rFMdKABzlNA04T53vA0nKwHINZLl20ywmavRFy'
b'q5T2bWhqmRVFpZ/jevSiTuP373Jn352uwJhO/Dj6s0LTuiimals4l0pAPmErhcz365HI1UpW'
b'0VTj1yVVTdsWY3x9ednuL/fXl227IyZlsngacX1NcVvv95TStq4iklRTSuC9PX/59U+E9OO3'
b'f2hcn5+fERYAqvr64zcR+fr1qxCnRIvwyxqZWUCker/fZRniAPyMaeNy7emthY+IszBN8ovk'
b'd0vvRv9d+pSWX98ja6XkgfhxnusN+Di1XCkBTtFSRcHpZx9rUutLp/Uwe2Ji9QdKbQSAn7E6'
b'rousP21tXhKQvGzQwTVufnccBopIkJR0W+8vP357+f5vIk+WIVMha1Bhrrcuet1hqdrBHew1'
b'lvY10dlQlXmaKhw3ASDwDu6Z1ABgpfOd4CFcEBZYhYLBfczchti/TdQA7GcC5WQgmBWH/c5n'
b'E5SEFxaM+QMFIGlKSaMpLLv14gf5fOKOnp+D+IcL/wTrUBEAKCClTQAAIABJREFUqqN6S6l8'
b'2AkAzcMLjQeywfqY327EqVosz9yLqiMstJS/CsxxGIPzjnfjllHy25lk91VuGHM1pSvtVECR'
b'NqREy1JkHJj6/6RhY13TlbvjckAB8zeZx5agquYWuM5OKv52s940dRMnQCzi3qQBdGGiqxQ3'
b'phPIUxFnHYoM3I8G5LJvrTfRwzgL7wEzv4OpQ0ld48fnHc3YUrKHU1eh0yfn9da16fmw+7f/'
b'sPvWgvsCUE1pu2/3VdMW19f768v68mPbNlVlyQH1NMWUUoz53xCCHQ4YJ5KE15fvMf6FkEij'
b'anp6uvFyCyGoavotLSy3W7i/vBLS09PXH+nOIiJPX5+/Pj8tqtoIAO+TWRtZ8GBwIWLu0yqH'
b'Nd/A5wOf7BjNvMib4VQWe95/mnnUi24u3XO3VRdPRnDqwClrQDlA9DiAyDb+BjRMC6F9ZfZa'
b'YTQMt/m8yvo933RYwXpxlKbNqK/mk2suQa7EApudDGCAMuMK91tgfe43pOmYvDG1t7t8iCWH'
b'/vXfgxiQZwqp7kv5yXHT93E7iiA/5GyJwTuzm8f6edjmeXXUTSurJw8FqrEEsi/YvShnEmD6'
b'USHm0xVEZEeyUWNa1x//+Pu/fv/tfzHfAH9UqQEWkXd3BejV/A0RTrxsyclbA+UW1zOU4F7K'
b'JID73TS4VMcmNlA2DDL43y+cdmyb08HCVw//NaZFOTyLdG/tqJmJUBSWKVskiatiH+3RemFc'
b'/s2wOfh+wqZO0kNgRK2lbwhhB+Ik0MIELpxdjHWpqpWmqrQEKr/VBVExQrVrwd4KiB0ll0He'
b'uXFb4661rcnjnoP1uzfe11X32TpfFZfXLazMCKumICwgBkiTmftQUhVmCVFJogI5YhHchVor'
b'yrrsaxcR82O4Nxv1eA0AWHiHd0wiUqOClLFiZg7LUkIQZLMc+yppsn6lqBK4RCbNncrNE0kp'
b'kWVLyW3cXAZWY4wW/tbow8rBLq7MtewlZAFUVcBMQVWruyHNwRPYHlofg4hu2yKSiiVJZmsu'
b'kIK5+VdV4YVbMFCDFnYbgWebh3zYMUxPeDsDrOpFbYi2Zj6yVppZEBC1pOgXQgdIau0D6ZL/'
b'1jfGvD51xXaraex+eW6ebWuxTQb71+RcIQaQCIq6Q5l7z0yxqoqYY+Td7/f760u8v6aUNG2q'
b'CtWUEhHFGON617hpSiKU0maDTnnAsSxLjHG9v1CMKcX4/BRCuD3L649XWSim7fX+/evXLz9+'
b'W9e0sdCXr8+aEAKr0udEAvZD/3ulD5lJnOsepvnzW1/Ccfm2+Ed/Mp5rvzuNQ92Uf/rtO2o/'
b'2s9O2vOmPG+lnHn3P4v6uF7EnIzVHxf9F2W0wT86nehzTncxXSn/TWm6JLkcx7pXeGQrsSdx'
b'QTA6jd1JIzMTR1pfX19//Latd+aNmbMGnChb5ZP5PCfxPkOnwJkdIJ/U1+jRE4RY1f1rT0z7'
b'5//1XSjMSIiUOOxfHfjh6QyrPkWPIiIskOLkqMLHDvfnBlS4MFOCXNE60Wxr/8RUEWoqvvlQ'
b'FUClXg9HuraND+tTPz4QNiGyvM8B2h7S58c72LXznM+PKpiDPGzLgokIiaGUxcKgqkhpKjtx'
b'8RNKs71yRBcA7Bp+JVx/wsauOzvS2hVkhsd6qhs7XqU1oIa/IB/JuMwjMZeYaK60hzOU2+Bc'
b'IqL4XO/zDL99mtMbaG/0QX43RE3Lr9R7grY9nXefTNs/ee5nsztpIYox1nWH05XoZYNp1f5V'
b'/f1oa3tMOeRHtc2PaqIGpLRpWtO2xu2e1lW3dYv3uG3bdq+chxgpbSZ5FrJv2r9pel1fUkov'
b'L99fX16I8NvLb+G2fPv6HEL48fLbjx8//vLLr99//Nu351/sNNik1m3bIvTl5aUKALb8mrAU'
b'Q7/ONLjnyearagcp6/L7OJHT8g8o+Z+QOkFzmjwLm+YbKeyA5tRR29w6fIKZCjTxbSaaaSLf'
b'kvqK/pAXYd+bes9u/zyU//5RFRizKYyntQXq0jnCOE/uw8arjBu4d45ft6y4YbYTvnTUC64Y'
b'zWSA4e2VvjNo27Z1XVPaAgUOpjirOkuigu89dxKLhQTyZjxgZaD8O9Rk0Xkf/zu00A/IrqCA'
b'aZ0ufqv5q1LOAQo/HzHLqSmxMokUxlV33z7n+G0jzAxb/jQ5Pvxgm39HQtFJo5iO1I2qn0MI'
b'UzD8gdJmvwXsGbl/0kbozs6YAK4VMgVQpDrCVaIaAfFb+n4kbGdAA4suMYd93c1uLiZAyq1U'
b'mSKlWHsuEgBOMVXXT90ss9Nn17qmwG7cf63lXtL1SO5QinD9YObiWwvMTOZJvQRt8FZhXQv3'
b'zx8dLh1ROBXhEDBXw8IcSAX5MkAHN+sZ/rw6D4jRakDGZu9tszypaeE+etx8ewUon7Stq5qm'
b'POEgv//qehsScafvn7LEU75XPJ5x8/xI9YB6zkCN1Fxkxp2rmFVPjNsW7ykljSltMd+hEiQt'
b'JwCashqCd9EipWQTfb/f13V9fX398eNHSmtY+OvX51+/3G6ybNv9+/d/BOi2bd/+968swiFE'
b'1e/ff6SEf/mXfwlhHgisafQVfN+lz2XHs6Q/7xBgzLl/8vaKTmo5Z8TvKPCPmS7SzzvI7Ccl'
b'E7X/KK15kLx9WjlxGsy+x7Tv949MQo8AjU+/D03mBruGDWDR/Tl8PgcTM68pRBRksdUeQgj5'
b'Nh2KjY0KkVLV+aXgTgiFiHj8V+u/M0FcL/x7mNzgp9KKx9/WwUS7q82Kbf480rQVcJCo3SAf'
b'ruvpFnNRDLD3n05+HuWkfL25WjtUvekOtqafT6HnUV8AVPU/zRZUJ0qdNNhXdIaiBoHkSjJE'
b'2G2E9lCZOBOVEhIBQmCSOkRjrF/fWkuWp2YzU+a+5a5edt6m6oczwivnKoC5KN3boKhVN4zO'
b'a5eLoZEbZO5bcnDyM/7AkGFfLwezAeoPT/wS62o8Xy9HC3lKMFbYydqvT95KSOPITGsf8/hg'
b'Xv6rKc/ptrPy+xC+T+fxaKinbW6JZH9SQb8mVUTViLSlbU1xS9s9rvf1/nK/v2z3NaVkaquo'
b'iYoaohKf/Y+LwBxEYoxrik9fnp+enjStTwvZzZh1u9+elj//5U9Py+3p6WlZli3en56efvx4'
b'IZLn5+X7378/f/3aCQBH/rbfj7b9wFWfssyTEidhq9mUWO+u/A2p40f0dpq2E0kvcz8oIffu'
b'8Bb58EwBzEZuKNjLnW/U/R8xgvxkaO37RMQ3JQyXgH9SRYJq3lEgNRH3zsEPvyaiydppo1v8'
b'vOS3qJOU414qOi45SrfnjG9MRx6BamkHRT2OGtGJKA83ufelzLiZYL3I0CUQAIyN3NVCbzxc'
b'+0iUjIkCsivneGS0+bVnu9R8v00fZDHaC7ybi5zBev/wDKc+emKe1is0d+lt03KE1AGcnaZZ'
b'HrbrDg0Y6iBjLlDY/CztoqdFfXburegYxnkxoENOtvukPdvhkHbIqfv9aDq4G2dzWNUPSNHf'
b'i2SvUszS8cAZ1pz1up8U8IEmLu9cZT0+ZIZCACFOLjcHInAw1NZYEE0N2SsmqzUOLdTRM142'
b'Mcq7as5+FDSAzCBkluD7PoBgHhz6TQF3pc96l8kVMjly2b+t+wjKhaiDLnSF7G1K/TqtPZpu'
b'QOUErsx2aaeNT5mI2si9KjcOvbWLz1Cy2URzZSx1iK5ssr60mqImVU12rSXFmEz5v63ruq7r'
b'/X5fX+8aY0rRMGTUZH1RJSVW4nKbIJe8bRsFScV1WSIFUyKmhHtMRBpuT3+6PX/98kVAgcPT'
b'09OPf9wR07dvv6aEBEXE4QnAR5DWdICm8twH0kcPAd6ajP3ZXJ504brYMOb82Uj6ehrFoZPk'
b'Afrvk4D9aJIfncC+rVii3ikfN+6nP6Wiz03YzRIu+Yl7k2Q7hQvvKHNKRUY57tue40/WCIja'
b'le9xQ9kzzlpy2lQWXvLtQF6EF2P2TGajXO5rwv4gZRJzzuMcbtrv4ol/f1KqEDufH8ahP52o'
b'vXNP9iMEZ5kwd23Rd8y1p7rvJNJR4D/XyR3hibGEK/DdPz/vwhSF1KqnzXhTOtHweWBnqvPO'
b'WdBYVNekCojHkqlccy9lN/R8Iut6HOKErnljxp4qjoTJ/quT1d2KEKxQMbe0qgIIsYjBbAkh'
b'xFyOdHIsAFP82wVWj7TM3/nY+P1b2uMBU9ZsICv6u0TZNW1XddeR/uEF2HcGCPkxSnHcm4gI'
b'wuygPnNxFKvZGGysDOVysxcGHqbzlYLWZUil//rWT9N54dNsV0DFvJ0Hre4KtAOTsqQes4Wj'
b'JdAJzMNGM/ehNB0clCslqhEpw/+4vm73Na7rtt1jjEhR7Zp8uQhuToHG5pUr7+AlhNuyrvT/'
b'/O1vgC4hACmEH0SU0hZC+C//+T9/fXqWINualmXhZ1rXVSh8/fos0kcCzoXbGJbf/0zQw5xF'
b'6/Lgnfz9fVXvcz/Rfexpeo2OD9xjnaOlSkBvaqf/9t2p8I++qONiJU8Na5W5x7Tzjsu68I7d'
b'0AwhHYGMdyeUCzpZw0BZq/GB5La63+sc4B3pCtlcwJeFCN0n57MzI3W7wSyuoIme5mQzflPV'
b'06TMEFGK4el2+/K8LLdAWTdGRf3KdkAAZtbAMB0xMo8wxCbM0j2pdY8CwK6mqg/2ZVgHFvU5'
b'kZNybLi8PDztspoNOVO11Nj/hCs3xw/raqeKMGYWtEQksnBJuXe2Qi9r4i/ysalcMUNFR2vt'
b'zbehOhRedY8YnjM1kemLZg5mCVYJvjpvAVE5CcgCADMzh+JshBXUzMHQ2aOxeojg+UjFg8Od'
b'67gi1xhmQ+HWxxACI4nI0+0Lnp78JdoOTdbh8tCqtjD5OxiF8zfI7NpeMMpgx4OjFf4y2SLP'
b'sBJFxtjbc0y63SKqKSPU8VoQBCI82wExZp510EPPcRY7QyzX38IUWoEHrl9TsLsXQszOS9sR'
b'RO7ejhYNI3n7HsnQhlE48W97T/99yb2YUa6p7P31Ew2X8p/ZMWXqqrC39QYRgBzBN20pJd3i'
b'uq3r/R7XdSsppo2SWpGqGjWFEG5Pz1SwmeYy8t0AABFJNrrf73b1XsISSRQMFiLip5AU31/v'
b'YXl6/fHy7el5e13//Kc/ba/r6+v67du333777ewOAN6p2a3fNMeadG2JXk41ls170puwsvG1'
b'NxVfxPGJ/eI5L35r6nagD8oA9JaROVE7nRTLw/NzyYGoEabHnfjTkrkA2n03pVx+vmAWXLY/'
b'Eo53nouIhHNTHxh/0xuXwHva9SbKVL+52VY0mVwuV9aUCCh2z5Sq8DZ+8tZuskJAzPz09OXr'
b'l1+fnr8GXoAkEGUFC0PN84+yXb1OpMVLA2DxhbxGQJnM9Vu2KNMJwftGVp9BrDYUXP892NMv'
b'dVNCMBouyDi4f1vz4honWBoPRWRRhFn8SUI56yg67Nw1qQ39LNdZ4/K3VBV1NFPRfbzGXbAB'
b'qVAgMd35IBXkQaDSnumuhza5t7sAsD9s7+L6VyNImsYGPk8PBYOjr8i59O9khXoyq2ljJCGI'
b'SAi3p6cnfnq6SeDiTtXPmik7/Yh5YQD5/oUoI0AsELcTqNF9xeXeZ/3TSg6tKwwvYIw/zMY6'
b'Qz1UYigxXEkBJEJZRQwiC5ox2Nzue8cRfTrM7STC8jkzB2LAgn7vI1wxaCW2jtLIMYv66sjb'
b'ksu4a77t3ZQeDjffEsowX5yaOEVw/9Kk6BH0++c6czPqaalrobaiy9CX8RxsIidUxF9/71MJ'
b'43W9AGB5qj/fBNWYYoyqUbcYY3y9v673+7Zu2xq3NREJ0wJBHhVWJjDJ93/8CLfl6/OXr1+/'
b'Pj0t5i+Lmdd1VdUtruvr/XWNDN0ibds9gcHy5cvT/f5yW5aUtu8/Xp6//vLy2/df/48/454S'
b'0dMvX9ek319+W56O3YDuHK1/biMy357Nz487QVBQquJUGTWeUk9rJ2dyavarmnVfzMN28k7n'
b'NoW5MBGZdz9WR3YuH0Ey0DVqnrXc2/2Lls7WYrKt/55Jyl3+jhzLn8p9aJHd4NiKHUMLZe/g'
b'b9xtL91rPrylkGoG5t5j4/kp+d4Ap84Zt0wAzFoJhtuvqNwqqbzSar5S79COfa/NfE+Mie0X'
b'AISUwbCjjGZMxho7toIZzY93Bq5bh8+96VHxcCe8IEec0NZvR6ETv7Ttq8zdXGbJ7QcwQXE6'
b'EcyAuduZbh/Kq8/tPWZRUzLYClIq9Lw31ZTttuOFQEGywomzZi5bHeQFmOvSmACwiBlKZ2zB'
b'Ocp9VYkVGgMRzAf80/Mvt6dfmUQCW2TeBBICQ4lIKJiqhplAiRWqkZBQLlRkj+CcZRWQmPyC'
b'FI2P295Q91rrYsiRfZWUS1SAZBBcIH6C/MiP+99RgtsRAfW1FyTBgDJLMVEWFjNOZkB54SoS'
b'7GHCiIIItSu3W48eqI3t8WmCY44vCnd8o27PI9ApeQ6v9HT7N7MZa9EigUEsxMwJoBybGaTR'
b'1NvMweYJpu53N0qNGJYlWJO8s/niJwRmPp2gSaFKavGhA5FpZAnmJ5MSaVIt+LIDQImKqEiF'
b'Y8OQxAjyiCrnb5k2M6d91hosZRGrLbMwAwkILIIsEqZABDaNNgPEpE83eb4FJg2yMPPTUxDO'
b'AaNtKDrWUaeyejhhZhaJMda4n8pYRIgoJWUiFiiwCG2qQhSVSKAumAkza2oiKqA69Wcyhz8i'
b'IksgIk5CzEoJjBRTCGHbNlsSxcQcxmaJdz7DQpRXLNlyoSDEwswMazcZnsniIe10C8lu+wEs'
b'bB75BURBxDRQqsohQIEYzdQQJMKgpCRMREsINYQCswUECKoZJ1i3pUKSIVlT6p/qNN/lUUbp'
b'frLI1ASVfn2BxloN7ygq/1pYTD7q4pmorp4AqPLnY02/52A+Q0b8LVOtOLZ+1TLA/qF9bpNb'
b'V7EPAeGTHwH3b7P7qyrAEZqt00g1JU2UQKBleZbl9uXbt19EEWMkSIQCads2Tukfv/3b3/72'
b'b0T0D/7OzMuyMPOXL1+WZfn29fn5+fkvv/5L+EsA0rquf/4Lv76+rjGt65qiQJd1JULgRbbI'
b'4emXl7u+blHpJbD88ss3JH3dXj8hDsB5OpQUH6Wyg0/T76SCxe/lFLKj+Csb+R8q1eV3tD5r'
b'mtLDw/723KeZl0+foowmW7HE3wS4nE7dcX5Cmtzw7jz1lYzlWN8rePxbOp2yCbd9V3tH2qgu'
b'dATQh3CQyZyyeLPIGnmHWoXWvlsTcetr3AMC33cnDBCLLE/Py9NXLpf/UA6gAyUiShmrM5DE'
b'LugDpBFJFXFvGwUOQiQJRAQhRcoqZHEbT+4CqydyZFmiWu0TsJjunYFyANo7T7w++OV50XRy'
b'BfFZszlkNhSYkUpB/sIWBsw120b3SsO651Px4ISleDHAc6H61rOOi2KSy1A2GjZ8n8tkCkBi'
b'dweRmmse3XlI/yQ3ybQkEKMcZq5gfYe/RVmO3cqlx1u+2eNg1ocno+cFpyvcFOXALYCiabrE'
b'yg9EBA4MCoRFKAQOclsSwm3hZRGxGmdKtHIIUMNa+UnMGkcOtvQFWl2Ks9OW8XA/uHIqAcfS'
b'R199J0fVryqT6UgosxEwCZgCBIys8CYiYgWSYu9i35GqmVYlp8+2J0yUYroRKyIhyfJUIp1R'
b'vpmGG7EJeJnYTFgq2gQ1zcX9fpcQiHLgY38xgtojiLpa0aZxxrshSmlOTtu20cEq9kC/Ernd'
b'baCGb2QRmlr67Eobx7NZXOW3neAZaY1rsBsKP/XsfFLVr8Y/29VqqaEZZjbx1eoKYhMdOCxE'
b'SkECgVJciFUpKa0pxhgRt7T++D//+3//v//HX+0zVd0UqmlNPwLx3//+d2FeluX5+fn5+fb8'
b'/Pzl2y+//OUvDLLDge/fv6/rum13Unx/2RbwP/hle9lS4pswkdgierMAMDL307RTaln50w//'
b'WTYVZzvBlGOeb7Fk2ntC9YgCIlLjjiaRCwhZ3Zn9P1xraIfAbCvygvpBo97su/TD9i3n49PX'
b'duB4a7qxlUGwAwch2o0v7fn726ymsHCDhf32S958SWyHHhr8vmOoo6/ef4IBNqcc+0ZYjprc'
b'HuZxv1EpEbmxrW3zOsJ+oQxE1TFlGii2gowu2+69u/44JZ/KeQNzIM6HaXmyGKwobgrzBlM2'
b'm7Ecvxn4PcYeh7A83Z6fnr+K020X6BaJSBGUJe8TmphZGHbCm1JSOwogCSEsyyIiyqKqgTAq'
b'/mF6xGFbAiCEqmvPG6eLMEAFQOzlHKy+bv/OPWItpe4bf97EhjV4NB0VGJGTJXLbKd8BOPr8'
b'YWInr45YDWj0DlO4MJ36h+Ra3zroUNGxdoK3jZxiP0qqw1Il1WVZqGgEY4wiQkHYNY6Zk24p'
b'bRojOc8zvv11/Y5dyH+6u0bcivpdT6d0cjRND5/7DAJS4aKWDsx5GIl3dUjfKae4rQVWOrSD'
b'GJThV1Um1AN2AGKDnykYRa/d8x/m3SV8xXndSREZ31N07v8rIlQlVUqaiqq4GcdxQNScimHv'
b'lIUi+9d//VcA0XEqVlBaf3lKcsPTkm9WFBy8TGOoUTFVKoUIgJeX73/96/8wDb2hAlvjJrNJ'
b'CB7p1t+3263jA1ZmDa7cEUwIt+65/fjy5QsNdFufiHOoaisrhLmQPP47ra7+W7l0pZwyC1Iz'
b'jKVNxxNuiXnLNJ9GBrK30Gtkcmb2b3NYEcnmLaxJU5IEgO9Jn2K83++atsSUoLwEsC5LMGHE'
b'LggrQIoU07ptr/c7C+yUcFmW51v48uXLr7/++h//t38RESRNW1yWZf3xoomIZFtTBOIKVtxu'
b'j+IA9H1zN34upA79vz+9sd5PSNd3rIb/lmdl6ufq2HdUfb5R/btOI9+/8tUHKaotyy5xFqTi'
b'2OLR4n9L3fuW8HktnifOppdeZCpr5w33+royjwzVPocU/aW0/KNoPWmYZSZlGPtUZphVRhVZ'
b'mU1JmrXR2mqg6QJ1GcCyiyAQltty+/JsB9Y3uWlxWCSIAJQXE1YAsILYDhxSCimlpHGtmIb5'
b'JhJCCBnrILKystq9AlYzJjazCm71/bCI8lyMf6o5kOtU4TDF/xCYhBisVfg/mSkWmBFYNVcl'
b't1tXEOY3xXFe3MD2SjgqEKerd2zSjJHuz+vb2oYR4fnf55h1hBTcCqj1VR2EsXC/EFRhXvqW'
b'4lfDhjTf/FM1YGF/WjRTIydT+gvlnNu2aYw19udkHJwByXQkK9Sr2abQ/3D8HUYfG3Bp7bPC'
b'1SXCgiWEILfbaBdaMV81uK9EWK9Ke6oDiJJS6MmvxkBkZk9yXd/HHh0xBC4K4O6rbqXkh1xu'
b'6kzgacN5UHTwLy8vMDwewrIsIYQQWBb+8qysr8xCnPYeVaMyViK7C5CTYzJGgPj69et//a//'
b'1XS7atIXiIqPUbi2jYDbd6pD2MNAea7b/Oh+13FrcXme2ZQ2GlblO3aWo0+8yd9IvWM76z3v'
b'6duTitxzp6HIT6r3WIWqamS6EbiEAmQ7pElR1xhVdYtpvb+uv/0WY1QgQU0GFRE7yGaLfFdk'
b'QlWFxhg1xtf1VX/77R9/+9tfQwi32+3r12+/fvuFmX/9858CC32jFNftHheW+/0OpU8zAYLT'
b'4bXqkayco9P19k9M+cae16m4t967OTdfgbK+f5JMR2Hv8jlA0QFQlgg561nLF9QeBxyxaZ8m'
b'kRMuv/3c9HBazzPUfX2arecsDgrQzvFljMNwJQkRyrUNAhj7tSFmNi9YnM3Jx69Pbx20V86m'
b'3w9teZguOfokIhYxlqG7+xcDi6ZGKw4t933xnddpurRHPG27C7u9Vll8+RfkBqb9ZE4zsAt4'
b'2dw/owcCoCAOvNtsoERy7dBSjscC9VXAJbIVCpFwW27PRgTC1ViJAgKAxIHspkguIRGRgBYA'
b'pHHdDOqpxgRmkmde5LYAUAqkLKxCQSkxSAikWdNfIT4AIKkqkwi4GN0G5MOq6rRqt0VWgFnK'
b'JTz14zouLis/hzyw9VOQTd6siEWKSFVmxN3/dKCcyjU4baKldtWdz+zJpjvW6CdrWviJDDAt'
b's/7uiprim5qybhgASIsxhn+FYk7g0a0licmi7hrtIimp7fRRNRa6zQDOq5CxS0F+193Vn7ab'
b'+LPc9qs9jYBYSImoXHRutKEHo2eXIFvPnoTq24QgnLILyylt2CBbzC8TloiaeE/dyLM7ccoN'
b'Awnn+5HaD0Uuv457fWIime9amW6pfGIflqyuDkGR3Tc52gBQAh5M2mkLyEo2xigi/+2//Tcq'
b'AJ05iIiAAiW9/69/++v/lVK0JZdRcmm9syzKtS3L4tYCE9HT09N/+k//yRi8LVbbGTPDr3O0'
b'87p93Y0gfjplRplEdHz/rYfynB0r7U/MiKieMJAj727Sp8ucZqt+pFJvFDa+9Q+QxZKlzeDY'
b'YZ70trfuUnKpykg3ElG+IuzaICJk98iINOXgCVASCpvGTRFj2jRtW/r73/+OpEEkxQ0paUrI'
b'm10gIISwcF4jgQIHBhhIjI0UCkXCum7fv7/+a/g3Bj0/P3/78vU//Ok/fP36/PXPvzzfbk/r'
b'GkJYTqSuqRhH701/QOjfpSt7hs0yD5qwg2/7k2IatJJtyZMp+MiY/0HSm6Z+5PgfLPA0aRa9'
b'ijLV88Sz2t8zJwCly2HFrhfqgWygohyq7Jt3B5YTl5oXyp/kgVNodZz3qMRxyRSGu18mu4IR'
b'xTAKkgGsmNKW4mKbiZgtLCg77iNV3bYNQHUxDiDGGGNE2V/rqbThDxGGMBGBq6/lzPWZiEyf'
b'BNvMzY1jtogHCloiFV7AIjFxkLhmc4hsPSAc5EahqMRAqirEJARIVgozUT5tEKKtdJ7F3J4z'
b'EZnJr0WK2d351z2chbkcIzTqjF4ZHCTjxV1FV0Gqn1YuScpI1tIyVtuzZfQ0ckiatcS352je'
b'u5wd1x2p8aSKt7IOm9xgNJBHH5VgqniZtXIFOdbGGL6xwx9rrWnmMFxTtsy3241Id28zs9U3'
b'3RTGGFVoXTNzq2E52u7t8cV9p3Zq8kpQyVJEbrfb8vQAqvzpAAAgAElEQVS0LE8exY7tr7Pp'
b'Z3ZGSLuOxhbMeWv3Qp0AadNnEzSlio50/YzkEggCqG0I2DMz92q3kTJdc4jIpkaYTBAiAYrQ'
b'bZ/rFIgT0bZt1QpoCQsRbSnGGIlDbYbBbitO2xVdezeWf1Rj7RHt+pxe/+176n/UeSA3Cz5z'
b'neuBmJuzrK7wMc+0nCtrf6xoum3VYk1g2Le/8iPvONlJaGWnZvhj6mHHxES2TSM0JqzbZt5C'
b'7y+vpHgKEiMLcdU1w9hLTEkcJ5Rg22OQZ0giBQlTokSAMohe79tv31/+9q//K4Tw5en5l19+'
b'+dO3P/35z38+8QI0HyxcwGfn6YOf/9R0pWXn7c9eVrArZxi0H6ySDpSdXIFHwVm8Ha3T68yY'
b'Xp2g7Ipk11DC9A3nXcORJvjgbkBxeXjKf33+awh439Q5uxKjfeSVsvV/IKqs7Z0+YXeGTs6Z'
b'I9XbKpoxXm3/A+p9pEff7WA/fO/FnTAoCSgJM+XTcRApi/mqr8q/nJc5a+yYPR8/vIZ+/ff5'
b'Pjp+Nc+f53oXbOocCZRUTbMeY+QQTWWYoCSBCFGVBYHMVNouQIAIIFUkYlZoQlJSyYZCKGbr'
b'CmQeWxEG7XQoxR6AidSCnxaVvKqZ+e0e+oSYOQgRiSAAiKsi3aNyWpenm9wW5t3bX7HqRL7E'
b'kSdF8w8uNrucUu0UmfpXiJWyDJB9fRSd384r4HlOIW8icqZEu8wokoN7xLgCQCI7chNhU6aJ'
b'2CDYjNhFRgVgmmMqp9UwLxdEnZ+Zh+Rx5QDBP/SAzGc72b9OnneleYV91+CqrkY2FA7GpGDe'
b'wxT78ZTmq5lWyNPT0wjWjebDYm6CYDYhFQR3UP7/Ze/dliRJjiyxc9TMI7O6Gw0MZofkC1eE'
b'D/z/D9knCl+WwhXhcoS7OwMM0GjUJTPcTVX5oGbm5peIjKquxjQwY90SFelhbvfL0fsunf7C'
b'IAD9ZqT54yjtmxRGD29QAltAFnMd52ZQ56pJqgckpOB/71lmR/DUgelIYJDVx3xsz1FTiEZr'
b'VgDYnhju1YnNgIbd3NWrqmdxYzco3nZ/pUkIB4qqYaX62sy84SI8zo3mSHRdSZVKFAIIv8NG'
b'I0wXrSsKoyy6toSy14Vmc28QC7I/ryNQv2/y71o4Ht3HuT72bYOwDzZcfZB3FfW2jStqt/zG'
b'vbbTFtvh79N0rHRX3f1Uc7pWyFZJdG+u0vaZx/Z0JNafa4mjtY2PN5jibuFRq/2tbqq6zMUU'
b'8zxrKcv19fXjB1tekxthrgvQjPfazihhMhyVQlCtWVjcRaaUqHCkqCgsT9wlKanm5eX1/aeX'
b'f8LvUhrcgJ6O1OPD9/Olv2QbvlJd/qj7l8eyPd4kX4+Mc9R1ukn+kmk8bnbPTxvWDpr98USE'
b'1gHPzqjPT9uJ8DOGzVeo5WdJHa3uTG4SoGQivS1qAXSgB/Y8kuOVPKbjmDySbcyPAd7dOtCH'
b'gT6RArtTS1mWZZl10ZLMnBJ8+u6UIi6QDuWnaYo7OAT3YSkVE7pzCtRhmYAL3BuPkBRAA1tU'
b'V/gRlR1mRG5IPtyURBvMnUxISMi4AEApsxY1qAousjFZCz595SWvRr39Zu0rP/xydneE8bp0'
b'OnCcO98s5g0ptU43EN5sjlMwtM3jIhxMNVYv+O4ws1KK2hKK3wAcutGQtofOrjtU4v38nd0+'
b'dg1bAHEKc49VjD9tsm1dj0c3V6lOgLAUvuDRNfv7Kz4IoACERbgP6kBs4DRLLELtDkO9AscN'
b'83tzDLbtrHpubH1/P+767o3xXMHGmRlAWllEHEnltT0AvZPxJJIIXHJKOZirvt3+UUX3tDg+'
b'7ATAsbV+qLe5VZUtv6yWVkpR0411dVhlrLgK41vjuuq1M7SAUvKt6BLVeftKdfd3JU7g2uU4'
b'ldZTzvs4tpGZpilfnmlXLXOINDuAO85gLK3A1v2Sioa1E6Y2ZRy6/vruz5OjmNXLwvZsOYHv'
b't87zPnrj5zi/vspmTuz4j/fR6V4+NuDNA6Q34Dgsx3vwVqXrn75/snuFrLZ5ZnCnB1/FTD28'
b'gqqqulGXAivL68vLn3/Q66eE8ixydRdbLG64oBgls61METH3oqrFSZp6zllDKCTMOXuwAoEQ'
b'3lYHuCCAWctGAnAKy3ZPdnn65GG7nvqvpxNB8nFvM6dteHOCH0vjNrxR+9BdH98Z9//2DcQJ'
b'WEMLhHfg9RAfUvXWu5rxDVnGPo4S4R3X3907j389YgB4vYoa3d0zrC8Ob9We3jEUDR3fkxIG'
b'0edp4/epxTc6voLGTfFaAtdTY9hlh3H0rbb953LWvfP+22ShrudhZEC0GFuPFyxDw2LPpS+z'
b'xH2rfAZcpifGJFYDUIYSd9zYJMkMNcCdXr1RNQ7ZWqqv1so+3I6OpscPUMTc4zCyep411sSx'
b'mds7FcPy6JeWdz5Ky03IoF4pBFTVyqKq1+tyvV4DMTStiTRNucVuCKFUm8dw8d2HyT1ogLGF'
b'u1abeUrMksLFHgARUQNJsxCRhR6whMU14jQLjC4NJZubuySZ8oWs3nagvixqNj8/X6INsc4r'
b'm5BwulkRR5IpRoyrp3ClCCHdr05jTZFi7o5Ed5+Q3d2hw8CupIlvOhvjK90/bH0FCofkqYNU'
b'MwdcmtMaMwt00YxW51JCZ73GsCfDoDmuqHXLrJfF56dbN9EpUNjdwR2m84YaOtolvQN8XfN7'
b'g0s0HLmmdcSEksQpq1ke68j2Sn1I42jEE6sMvOp2sLsM8soMZm9hbxsHZDaW1jvbXzl28/j6'
b'UOaqwz2itOo7f1ugmdkQqJH1k46IFeCvr6+4+DfvJquVSpxU1px+9r7Hn6UUAKn5tu/wV6JE'
b'0MzVVCqltCoLUdhJJm7JJDYNfhExNSaxsgnbFL/2ufMtO2CctVJKuLkc2e1RHUlhxD0Tb3RU'
b'a16oJNZsvjUSJdl4/XVoo3ASsj+XTDLdXIQ+GIDudMn6SsbNG3Mz4+P33cXtLRTI6W1++pBD'
b'sT5k262cTgOPje95dtt55NQcV+xpY948ZHYZxnJ2p4ecIL0RYzSYcmNAupagQxD2HwY302IR'
b'/qPMcykFzmWerczL6ye9frL5NZUFNv8qUwWlzCmsfo3TNH337bsQg1+XucxXd0xCC6kxc7ES'
b'kn8Y5nkIqdE8BbWGe0qPeQEaB+smrrvNvv0piSRwbsD0C0njkn083cl/PJofLHy3x8YT8LPa'
b'dqtVp0/uzPubDTjeTzezHQ6xB999pPD1RD4Me111B5r+4dKlkX8/T/LuZmplxbGy/2u9RAIU'
b'bm4e19BokgQoJFU/MzTW+K8MlSqye6Sp35uqlZGpea1xpwAmSF7DQm1y9s8uexhLI9f8jIBg'
b'1ci1wYnmFUfV3fDy6frx5fXlOl+vc76oiDCnlLORleHFoBf3uGcYnPXJ7f1SmSsiKSwF2lUt'
b'DqQIN8ZJ3QUFELA63YtohhR315zYNOxJyMyrzXN1HmBwH4yYq6ghGvNEUzQP38E8FhH3UHgL'
b'M5LgPQdGcXeBVIgpVVtp5H+HO87ax1t7c9jOBJBztub6ENXKXvotQq5gtLHCYx0Gh3UF3Lux'
b'PVnCj22uWzN4jkIOGuQ4AOhd4Tts3b44q7MpRzi4bFfpnTLv3winEGesehjkVteBv4hhKscS'
b'emO48lM3TT0dqOP39uU4IANeDOgfzag8gtXGKZwaTWRIPJgSmUlGJImxwD5Ta3+HVMUsDlAE'
b'7m35jYPLzcsbT8dSXQbs0SG5mt9iWISD06ETuNlHIOc8TVOfqTCf9xZwq4HgRB4jaewnbj/C'
b'SOdLFEr/bI+Ct9KxitN2nuZ8JN25nXeLdqzluI/ehPtf3MgvPnbO8/gmM5rq166W2CpOMAhk'
b's/n68vLyoqoCmiq0WJmXl0/6+tGX1wvtf/7Vt799vqjq63z99PFlMX337um77y5lMbNJ9VJM'
b'F/OllNdlXswXL8Xp1owrhGHBFKaBJEUy4mqLlXynV28Pq9MdncWzy++rqfi/elq9m1fJw6g/'
b'3bg1aKDp2OpxGepjC66uBhdvUYH2P0HcQxxzJDFXhcXtiej3IwBs2lUrOfcDNOzC3Q+bxrzd'
b'023x/WIbX9z8uZf8cPzS+DdwbyUzIdSum0EehkN2LPlLvdiww2gL0wJbWTuG9UZSJwPf3RNe'
b'DSvtpI9jni9Lh/IHOcAmInUT+kAcTOEgv3oBCpXUWAJCN4TBkAtpdCGcoKyfODzpzw3xnZLE'
b'pYanoniA3qoW3fNLsLziiRsoY066A6yfBCkpwLM7DXRHMVyX8vI6v87L63V+WpYRPdQZa5ug'
b'Mh1tfwTXKblB0HbeIZtRpjnJFGIFYQJycpMEMAvgnntk6DhZakWTA55Is0LxabK0XISvy7K4'
b'q6mbOIU5T92GbzWclezuSVzcKZ31pRJ+qtyBRHGHoiveNFTBinrXdeLDcmXTIHJv2uGyjTpO'
b'0qrvdoqL6MYmuA1gx0krYKoZahtiIFhD57alOhwOna92vDVwls5RkXsavXxsXeLUZxwnHcdi'
b'1hUDR9h31y/b+EHifmawOLaNbF6S6gFVg7n2fu2AL+L0JlFnLR5KD19KSuxrku30O45Pfd5B'
b'f59fbsfkNLXz9q1sblJJ/bEJeyoL4eYedEuBgVJKQUHmdO440hsn+AY15aFC42OVbpQEwI2o'
b'cQLWIZWmpNQ2zjmJqEST18G2bh06AXB8S0SWZQkbJFWFmFPMTZh2w7gh1YTdkm1X4PZ7jEAK'
b'T0Q7BGxmUkf73NcdV6rvXnoQLt86Id9cKmt+AF+D+3U6EadD/QUl766GsY/jDJJpt+7HL/0P'
b'NPJylDR6c9djZhYmhaputizXj+/ff/z4UUQuOZsVXeb5+nF5+ejLdUJ5hucE5gsAyLf6d+FW'
b'zoqVglJoSleaJaqI5UsBZ7g6FvVSSlFXt2LF3JMkg5tCoRa2XklIvm0EfCTLWk/3v+4Qfyzo'
b'B2bh0fRlxOjjaTepN/O8sc2i14EpA/0fTL7W5StuXgFEC/dTvyPYbAmoTypO7b8OPNpTniuZ'
b'nMO7Z5+VX7uWv+/7jZ6utYxthoujfgrzpi7YGW6WNlbWecMR4bR+X+sW0htDXUaJQBzWX7w2'
b'Aji6BQc6OTTGvN/BrRqpmhSfGyitAXRuOXlfM7mQ3EcFbswyGJCCFtV1fzbNMXcPnp3BElmj'
b'u55WcsqCTeu5GSkk48I15HsPY6XwRBiRwP69h4XvQeNFYESiGNHziGd4ATA9vZueXqfL8/W6'
b'mBMuFTbdWACn5zvu7nGSgJDM+ZLyIk0jypmcBDyF7g1zOi+ngm+SNG9AGZKehFleXovO7m6g'
b'OMMqIRjq3QciSVeDC8VVF7YwxLTYIN4sAaRGLap4Bd7DIbXjpXsdqN1HDr+TAJqLuoF4CJIp'
b'NLuq4UQK+qTbPlozKA+1jZSS52xmuoS1cd1HzWpxz04Z8SK3TOvdpXs6R0e2Qudv7E6qXc5b'
b'c32r8D6RvXmjj7YOso+V+pBh/MT23bXYTdSO877XzMNG2y7mVWJ8LKc/2TWjt2T3vbaqm6j3'
b'Wiz0mM+B154ccrT1XMysFAtWSp/iEV2wScB2xTbNHO0SABIislLE7juA4e4jwSNexaPHS623'
b'JEy02ZSRBjWn8zUzknOhtWVmDmcjFdG2olfCZsBRb1NZODrqYPNhamYCB8L72MYb4fFwvlnF'
b'z8YsP751/5VHyInjon3kp8fTfvPe2CCfRW+c/tpXrLm7qxez+frp5eOHP/3wev30/Pzs8lyW'
b'5fr6cn35uMyfTK+wAtfQGy6mIpJFcoJMSRU+iZmpQ1WL+qxFFYvbxdwTkZO/y25czK5FFy2v'
b'c1FQSaepw91c4e55NxDHITgMWeobr136j5Kev6BUuSNdfQIKRwuZsZ3AgQSvh+NJaZ3PplUD'
b'uxmCSepcOlQBQ/8O1CABBAUI/4P1OxsIju/xnNUb1MBSRYAV8RpbQMZPgqA4a5n90x2kkMFq'
b'svDQjghrenbw7feGC8j6GQPItYVhoAhJm+eUkfPd4EgK8oAiK0HSyQak0MQPCEh6HRMmAnBa'
b'XXoyRu39zCSGcMMOeK62+URtVd8UrINzWOG3iIH+PPQ6wnfknfxfnpoKDXaUSfXHD0eCILiK'
b'xWwNA9k9i9dyxIcyz7mtuwzHs4IkxdCIYHZVHgTJ4XAPCbcMeeIzVrC0/BWDI3zw092ZNZeL'
b'pIkUAd359PRudbB4OjrNIhAPXxjB6a0DmCS88jmrF5egoJI7YAY6hDeIz3pOJtDpZk5Ilgsp'
b'IvNrmsvi5lq8JJdEUkBKEkoFaubqTodh9boTWv4xr+1mMndXMjQEBCETqPz4GPVKd5JoxEAP'
b'aBDcXN2PTEMsYJxCoDhcQXO4U82dkLAHyTmT75Bk4VW1mGqwnh1ktZw+Op8NdFgts0nplbt7'
b'GgbzaOi5YcJ1M499+Tevanc/rpS+bTiAfK+82P3kssUMeROXkIwY8Bisp8YXa8mVKA8pcTVL'
b'rYOIJILup7I5hh+L2u/ECkyZj9B8RL23xiqWR7QDjXNZm0qQIYjzyltoenGd5ulsGZLmq5G0'
b'h/dekRB6jwMaayBI31MqqG5w8/DWbO6ualbSJXVKg1sy8tbsjOMwZhu/N6qM44Wya9KGaHFN'
b'iXnKGDzcHxH8riWdGGgxiPpHI/CGGSEdSDWa7wNUxOem41htGvzTQXYUc+vXG/v3TTC5A5yf'
b'SwzcOLSp0dLYa7XIUYIKX03kgF2/wsenr9EtnTBv0lF3d1dVuldXPx9+/Pj+h6JzFnspyzzP'
b'Ly8vry+f9PqatAic9KJXipgpIDCoaj8QsnCicJoUrpYiiEhRV9VZrVhxgwq+e0rKSb9hMb2q'
b'zkWvakspi6qZ5d1YkHxkAtj4BLdp5e7m4k4xn50eoRo/q7TDcbzno+wG505RK88krlgH4KBi'
b'IJCakBdrpE+gubMMpaxUn4x8eh/4+ui8dqV3IuGmHMAhWw69wgXh7Xx4171yvoXpVFYQUsfD'
b'lksARnlCD2O0gfLDkyq9XIuRai+1yqPqCNRzlpDg+TczxHo4DhyXn0J5BkAXilO57u6uQUMb'
b'Lhh+Nhd/BaA/ZzqtpXqBIMhEWvjIb8aIxlhXO0xwZyR3eW69KO3UjEGT4XVx7XKeLvMJW4Ig'
b'lLu9wSgR6nYCKdNziVhawV8O74o32vzZsppejldPJ0ImlwQwBTMS8Cr1MiD5QCIObWj7zutz'
b'kan78mdKz8/PAmLmPM/FlKWklgZEErvcAQrz6inYnJUMieg/up4YlZZKFJiVNgPYehlOAxmA'
b'3sLT0ZC22bwxO0NpR20NcUVHSpymKaWUkJblulxntYazXchzH0DR06771Dfy/bS78nc/7b7g'
b'7Jq4fVvdrPH+T7dgxGnV5+3x/ZNI1V1VCyAdINjdXcbguCsS7T4rAVSHmEO9p0h3t4V30Nnd'
b'fbQkEbp7EADitYkBbkjuSDX38EuioTSVc06WE1KrdJV47DTBepP6n6rVO1aw7JqxbyP7jWyR'
b'v3fnszcrot2S2KVhMDE4X6pk2XHWOrkyDqOZbYil8b54OK3IchMBwIEWLc4srFCwHaWvkj4X'
b'cI8vPoLHbo3Gm6/vQNojV9VXTI8j2BXjDaEn2/Jz7wEoVVHUlmW5vnz68P715aO7XUXcP12X'
b'ZZ7nMr/qskCVtCSgZLrSvfKG0Fg25nQ4RAmGeU1KzMnMgGxmxU2LF/OllAVa3JH4bcr+PClF'
b'm/TgbRuA9V488A82mQ9RvnE4jsei2uyNb53qT99MX2EDhA7gwKMaMQNtzVKfDK/Wqn3V+63I'
b'MQANc1hewtmi+4RkEGz8ULxxXRHw4EfSQzYooDf5AiI+aOTZ8lLvf6aYxsrWodR2eQgEKmMC'
b'JCCUoWS5M9QO0D1MD9NpvU124r5RyR0O7l3n+9pjmxgaB38m8ZqvEpIvTitQdnFUH72VadfN'
b'OhtboDf08Rq/Ptf/rMxBujKOmMfXKjIKwyMCEMS6iiPqkW105NScPcQIsDYLep1roGqqE/Cg'
b'/FBlAJ33Fp5PYv2EIoYQdDILn78FXOu92x1EAICuIqljs966ZuKLVbW0XiaARtbUKz+RqB54'
b'hFAPZ/xoVKO7Ac66zuk+3OjmIpKf0nO6UPw6z2blWiAmF15EJMyHDQapDt+C2EA9Y9EdVdVG'
b'NrtDhKcEUwIiuXNeSR8cCMYXqWrx7XOdnQGu77bkuknlEgae5kpAmAgClqYpwmUtCy10P2JI'
b'bpzn/S5vukYnErbNfXHjiGjl9yOl55dxAQ5497Q5b6SG5vYgdXQQFHWvYx2HPkOD/SS+wQma'
b'aaBTRC6Xi5lJTjln6UDfC4keVSDethaRICyxR+Th1Xx8Tf2ntZFb2ml0htN1lwFU4/JG+ESo'
b'u3BquOtXX41dApBSyjlzYP2PjaxQfmjemKENLxqMcoRV+oBP1BCAYrfH+58drx8PgV7IYUxu'
b'5g+tocvlwiaCKKWM/lS6ZHzXmIoBbh+2/dfTM/nWCTY+/wKq47Myn+7QNnqxcvZ300jaPZL+'
b'Msj+NO1mxyju52wkd282X5vt03e9NQGsO5vgSlXVyrxcZ3udXz5+ePn0YbleQXuhEWme57ks'
b'ulytzCjzAtUsboWESDZADEQCfJKsWreTONzcYNXyJZFkEmbm8AtnmACocy7LPJdlWczMCEii'
b'3LYBuDdGAB4lGW89f3SO27Ew5F/Z4V8pDdzrkW9NBidPmpqK7/niZ4kkqmJ9Cq4Jzdm0lIdT'
b'ZnUzPLxYv25LE/fQd6EPENibGvebgzlmGI+5flj01cxqvNJAQUVjmyadFu7VSqbmJG/xZVfp'
b'GIbT6pQNEL9KqFIQQLi0bzl/Mu//0ItUhfVAnUGg60l/7sH6i0h9p6zuVV2E7XpbSbq9qfmx'
b'pJPZOc8jcn7cB38E64LZUNM1y7jLG4zYrEBKzpdE4TduiqVcKZkkYTT66rlvKPVm+0/6y8pB'
b'FHdFF4+w7gt3b5ohsS8I0hv7gOzS+ToOq7gFldFo7goK82XKcFGzMCgEYGbTNE3TJNKsCRs8'
b'6u1vo9Gfr/Dag90uSeAYtpi7jKaovdNrhm33d+fDcaC4BkhiJcPcVT0lIS/pKYnIcp1LRV1d'
b'5nOeolVRYBcynM/LjectEPLG9xTZvUht1M3HP+8gkvGV3Z+7AsdjYYWqjy22W/XGUsk5Xy6X'
b'NOUgAFCBfqJ4SiKyyovC6ialVEoJQpWormN7m3vCDuIPF9AOeSOcIqwEQKxAQ3CGZPWuU5dl'
b'2x0IqpeEq5maFyCfnp+neH28mEiGd6nKNvLqQKVW532XQH0NqtCLtcG+BXQ331XKwSEpSR1s'
b'AG5Fz+gtLIv9+OOPpP/2+19N+eIkDn10d1o9QGrVcs7wHtaVjK7HPUhZCyO6jZPZR1JYWK2l'
b'tdfl0IQ726H/wNbOY+Z+TO/SbnfcqXFcfqdVjOUMC+/rpBGG3RuKG3OH7YHZd1/AKm/mJaXM'
b'upRlftXXT68v7+fXFyuzCMpspdjrfC2lwNRNuyQrJMOoTuEkp+SlhX1AsITdmmIoAFcNmUAD'
b'h+kiiUlExKdkT9EWm7UEQZLBgV61DVfPt0j9eHTWKK0NqmEzzdUVnbvvYnNUqf3JSB54RS4Y'
b'BHn13uWm/M9Jt/NXD+fSDjqBhwYku/493MZfj6X1YzXq6jxvCMIEElixez8IUhsHP7Ptbz9W'
b'+Uo7Idai1pzbc21t1UHIjNa+4VRb0YDcoOBvpcoUGjTH0l11/NBg27WtL7taV2O6dzQXz61y'
b'6vs7Vc9ku3K+hDLc7P+ouuoYVY32wIGN6vs5mPpfLTW4tR0Tr/ILQ0EzI0MzLHTfHazj+jGs'
b'2pAbAnLIExVHTcAZedCOrEptjit0l2+8CXYurkkCLnnKl+f0VAxEyt5oV7ZYvqszfoDbCMdc'
b'OcEn+8Xd6WF/z4iiEr8uy1JRAjhGzqI1c3RvOKiBALP4CyLVDtDdJWdTyzJRkMEnN5KlFIe6'
b'LrMuVvKUn3LO4bSVpDF1oCbBNbBaX5y6cTCaWdAAFu7JG8shokH7Vve9RxmLuejdUQaLaQU9'
b'VsHfCCJUCMlhGVyVykCEyCGQK8mkaZnnUowDc7fh++YYe3u/xB05dY2X7U1/egq1lku10R8+'
b'CWkrrnORsOWtnJa2etEZvY+bmUvub5sZkKyFAe4e6N0dDENxRyiutLpPARDJKUFVQZqZhiYP'
b'JU2X6enZKU9PT90PrC4lhi5PkmRyqBctpSRwkqRa8or14Q5NQhJqAGNN1H5Z7iuqAgenhWPa'
b'1sratdZOEXENl+11PMbxd3cJ9R6Ewa6QkkRcF9fl06ePz8KcgSTmfkkJps04Cqo6Un3e9PpC'
b'ppFzhsLYnKkPSyViBQSpA3hQROwBs2gUFxfPiVA21kMkb3XVEkAi+HQikkRCuti31YbkA0xE'
b'ihrAH/7456LLr7/9jhFsEcM6I1t0FBewArXm2n8X1csblUxh552FbzURqUjS3MrS9HgBhwjc'
b'LdSxiq8bre6dHpasH91RDOFD/N7x4j6iW3bOZfzp2DV+vQ6E9NBFHM7qA+l/cn2EZqULSaN4'
b'sLSbokTtUwM+7vU+ancNjyWPjcee03QzDbh153N8p9626rTWSoka44XoZ6m7s4qkirvD3CPY'
b'77LM16vrUpbr6+tLKTNgpm7LVd3KfA1QDitilp+ymJIOtxLGMO46LylRdVE4jcmrnwZCnSBd'
b'jbl2JlajalErHlqmdJmSIOHb6QnA5SnfkwDcQn4rofPQyJ7zSx5Mx3vi50nyRZ+PFOvhAIeD'
b'qIhk3NYAGrlvd8amnh2VpLs3Kadv38owXrH9T7mn6nNa72aO+sF33JBvlfN2v37+ZbBJHRBs'
b'H/+i0f/ttOrX1QtiM0EOjMh4f7AeJ3M7L2POh+Z9yHae3wdW026JOgBJTBmSGwJ4pKKTP49J'
b'JOyQEQ5M3EPteD3EpJFN3VJ8x2Y7NsCH7ylN5i5mIvL09E5E5rn6BVLVeZ5JhsqEhTK9UK36'
b'9pEwQauCjjg9NkjaXZpNxfHkXDc7t7f+7hzYJdIRCWYAACAASURBVA7MmmgP2uxsgvioAQwu'
b'iYgDmReklJbl2tHmOiAHA77+q1l3tb8eiPc2fpfExpfdZ3PA9ciyZBXsbGpszdgQojvM6g+i'
b'jJGcaOPf+fEcnNB7oytiJUSNqUJDa+5xBLla0LpXyV711GTWBa1BIvZlaBbRQNr3RgD0ldAR'
b'5DhfMTJmBgRorhBzdZbgEpTzwAcL3FNcl7ks2VQslIaMw3CtWGKorssu2mdF9hFEoK43AEDm'
b'Gue8FjgcKOPC2y3CdWaHdXECT4c/1xJIIwySEl5ePy2L5pybmziMHA1xHFfGcSFul/c5qJUt'
b'o+Qh6HUjW8dt3VyrLeDNERHV6Cbntn1DS3qk4vHXcZvfAujthl3Zf0EjeV3ATlIqm0OAZgdZ'
b'ie215GNF7Xl8Z7d1HO3KtlZnjZtwluqvDfXWM5PmQkGjqG0VTLEuGIYctIb6VYWW5Tq/vr4s'
b'5VoN4k3NdJlnXV6BJPDZLbm5qtoC8zRVlb8EBudFbWGaguMFNYU5ARamUOSmhGgLBAyUBMJc'
b'40bLkuGemEixt1SATlHjg3f8+MoxkNNbaYNXfE8D/NWAsPFSwQBrWIXXnfQMvvh5pA82acJn'
b'1gsMEobbZwZvZdhd0neqS0MhnwXT38w8bu/DMthBw59lVawIyT6rZ7/QRNK9yl7asX6U6sZp'
b'WA/cmuktJN1DQp/Wu82vhydvvlKfxBSQzDn7NN1SGvkqqZ7ldQUOBpHriUQivJTf4j+tHHR3'
b'70rkxY1EzlkEIliW9Hr9BMDMlmWBS845eDYW9Wp1JcaVkRAf7H80yBy3TjlslhHrRxdWmNUb'
b'DcCHyAn11/gYKq4Y0VjDEdQG1lYFDZMkVORX67cuFidXKUQfajRA3NH/qWHAmB9YvVftVkvv'
b'6fjnrTS8GyC793FwBdZw9G278zfSDkf2FeKDLWx/0sdBWjTi0MgPL5hhQ+Ndd0XVPZmZCMIw'
b'Jmrqg8dx0bbGi0jz+Xa8061zdhCOitpMkKRHRPPNDO4FeVZ7oarX6zWJTtKCQ7csZNCxAc7s'
b'2BLfkQoN9g2L00ZRDtn07qwGZOhj/lnTdOeiCYWHiBB4kYv+WUspIu+OFRjBQzTfY+p9ifE1'
b'OlP4/d2HcDAzejPIOzjXejClGyOxI8l6qmKvAWqfahQ8SgEfqmhqD0HUxU2k8fd6YFZ2+3pr'
b'jE3Y1bxrv1qVK4RFXBfw9yW3PiHCA51xsxnbl/hu3HKmtBxYqI6gls3czYKpX0pZrsuyFFfV'
b'5bpcZ1tKmAt3o+F6NbfT0rMAYJLF1MGcEkkrxd3fPT9f54IwWwcdNJhBirrqLJIzhQwdhtTZ'
b'NCSpLiIwbaIt5NOz7MED7jPOQa8e7nr6LCLibwF5AXiLfBpBw+emW/jsc4fuVu03n9df3855'
b'2pjxIryV4X5px8P6q6exkX/lKzGs3vXhWbYbz2+mB3O+mY0nPMg1hY8UP/Nh8OASurXXzAzN'
b'xwhoR2CzyUwkHy+JDX/xCD4Cm7Tvob3tKU2RuehcYwwtllJ6enp6enoiXXxlc1aa5Hav6yXU'
b'HOz0h2YbJYHdkHZo2H+VZlCxZrP16m24kmQTkVddVRk8qYNkGLOGnQOaAno//3dbmOQYbOtU'
b'GrAb3ltPvtY6HCbxQRLiXoY7t+1uQXaHXaGkbs3c1iqhFWSVdnKi8/77k1pa/WO/bMblFLKm'
b'/oRb4rAKE0IK1TKuba4jE3ppnYFlPcSQu5dSrj6/u+hm8eyHt/7Ul2j7Pg78YG/TGItjrzz4'
b'xMN+FK+k6c5RRB8lNiHDrdkZd3cb2fB+5DnnLJU7e1wdd26l4wYcU6cGj5t0zNWA7Jckhup2'
b'+wy+wvjEdyM7EGPxODX33DuvfqduxHF7NG51lo11/2A5RyP7IX+f3CBq6WS4WZbQ+HE77e+4'
b'OFeFQGEQt/GnhLZZ/ZPuqK7+tXr8D3+4MLg7zJZ5nue56Bw8GrMShLqhubVwBxDcnwyBKQET'
b'MbNZVQA3fX3V0FN1N2X1BQOIuJK5ql45PTzQ05xIlJQTcs4C85AduIhsb1Chu0vouHM4lM/Q'
b'JAcVoLtrPVWFvz7G1Wt7vHLf88+e63arll9+erD9p3nWmE0PvLibi0cqvTV9j7x7NCcaXzyE'
b'NTkxXD65tivfFFgJjBGC/wUx+Grq/dcN/Hsi6dYU0uplH79slCXauTmwAHsJrSBs7582X3e4'
b'MzWdTuJxsW0bsyvTU0oqslv2x2Ij0upY+EacfWstnXivb9rhWP06o2lSHdfw8bMl7dmKG2ji'
b'EJF3797Nc3Kj6WwoajYvbl6enp7CD9XBAXhV7Rh6MXL0wzvNKEGtMsbhIIoNteYJ3pUPam8n'
b'41Pdl2HF5J4ApAR31/CR2ogiB1INc5ZEcgRPjZuvKdXUQntd1VjBqwpth/63m7SRmro7brhn'
b'uJXG2QlE21ddBrorm565IYMvPBB2xIwMa3h82FWAusChtsptHJAOU4JICFV4aR4m0OYX47it'
b'2NoTRE0B825E68EU3e87Nu5mNxQ4uWi4knbrK+E9VvdMhxFYYz0Twsult8XpqDp+3TVFW3h1'
b'HDkeQutpABBrILBdvfsZXxnwJ6QmOrCDhLmRqrqLmUniu3dP0xQxj/vCqEr24yqsQYF8bdud'
b'NJrJjY1ZtcVWCV5Eid4cxNLnr5+VY0vaAPmNz2ZRulHa6BRO/2KA10gfm/RTcNq4bithELMz'
b'NMOb8eRQiwBA2ru03jYrbDgJJw1GZMlOqzasaGFKo+Y2Rv1qcXdW0yv3YAISXr3iVqMFAB6x'
b'tTycUoW7NoMZzFyLlUV1mefX5XpdlkVVLbLC4R5SAncxU3NT17kwmz7nRCeQmCUJEgGXuVzD'
b'Z56rwtQR7HUIk1AApNUHXY1c4B6EsJUEVxMBc5JJ9iw0cqMVd+ta3b/yRqqeKHrGLzhA/6rR'
b'f6QR0Hxud97M/xNh8WeV/3jmk6tic9y/nY6X0O7FvyQ98BelPX621C/p03XY+9jWKsat+pnr'
b'8PzFDaA5R/mnpW2oXDYcc789xxpxdwOKiDp8q6iNBlVlOLdGDshpC0871VECyRodz4sZSAbX'
b'n+S8uKqGNCA0v0NKEBrWHb0FDsLQonFbrciy6evfOHU3I7Mbq9FnF1qlpxdtcw0k3YhiLKEj'
b'2lJKKR6Oa4ahwLHAHUDctHg3qltqzc9jD7ydxtHrPe1O391vRpv+rNQh5rgSxi8xXGH+G5pg'
b'NTPDMLeaXgToHAUFPckglZKKJoeKmgdq74pGbr2cquKMdc1EdfQWZ8DDCS7CPw+AbifpnXOP'
b'dYXstp4FvbhNPUTJKf6ur7N54avrvD73qhm38hNjY46rtI3P6g+0z8Vxdt6cPlTdXT49Pf36'
b'17+epok1CN/I0zy0f/sF2/U2dLNhX9lIw9CdmfLkxbNG3uuF3/i0RrejrfY6iah+fvpatWD1'
b'1DimGE+WL6MBBswwetHZ/IQD/TY+N/hOgsHm1TBIUQCAuIBIxQP9E24KAWq4+opYHN4iLtFB'
b'cF3tTTEJDqFXGszqGDrgQhhIGlSpdKWr+wJTuMKKQyM8S8p0pAiXnVISyapmoDtN4Q4Drouq'
b'21KWaZqSU0zzRDbXQEECx6YEEdpE4lBB3BcMl2LN1sjM2OzZ4oo5twHgSkOeDPRD83mav1JZ'
b'twwrv1Ct7RefNvYM2O38PW+SdnYdfjH03CGSW+mkYW9lvl/RPt7X3Xd3Gbo5lW+98B5XXrsw'
b'vr4i+O7ewk+Ygl9Uagd6AjzIcrwx73U51j+OJnfblbot53z0doj/ONR3Wj7+eXjl7aXl7i5V'
b'6xNn8itvjJPOZKxQPn4gQaJ57eiN34LyTX9HwAfAR7/84ZhFsnuBuUi+XEKr0+Z5Vi0wn6+v'
b'OWc6JCcypbCGbCrAMf7x2RlRQ3/DNcroyWSve1BdTHojcNy7h5Y+IHXSCdTud270WldlZUV/'
b'K7EhqDajdRxqcCtSJG49a4CMxwFstZ/M4/Dw9MoY3zmeDDdvmdbmXsXqv2j8/LLUO7hb/Dug'
b'EylIwZEAUFUkN7PUnXw1jf/BuCLkXZBBpaeyR9ddX3saKcQLYoa0PiSpvrpndd04NERgEzir'
b'5xlbwyNsecZUcyvs0ZTDYCHm+oyADLJwPJEYSHYQYrQXmy5SA54ku1tjNoX03dztvox51COk'
b'zKZF8fvwGV/D6NlJXi6XpynvaBZ/zCJ8l6etilpDXxMVzp6S3A685RL0eOq+4UJ0zD98JnBt'
b'yW6HNsBdfUgO9fYAbTg4PuopyYqOagu9bgGsw7IyHaYx4N0w0hTRNdBpRE0SAElWerMPoA9W'
b'N2EEXFkl8K7eE5IQc4ev3IpwAcdB107d1c2K2hCOA2bX61V1WZZluc7zPC9lLtdlWeaXl5ey'
b'XJfrq+tST8CyxMp/XWaPMIuuJlYu75jz1e03//APxTHPs7286mLiNHUAKeJECUg4xWBGz4C6'
b'BwWS6MFaEhFJ4gi1nggqblCzxT4vDsCX0XZfJd3FKH8FaRw6jm5zWobdwD6Iih6p9/TP05If'
b'GeHjwf1VlsRp1UcGyTh0f7H0V73w7qT723lcgcecI8C9dbj/lDRult3D3rChSXIf/XNgsm7K'
b'PLTc3R1OX9UwAqQJKIDTGCZ4NDITLkOwpPHLhne+/jQqN69YMMtFUvWrnnN+J+9yztfra5mX'
b'ZVnEoeFNVOBE6G+10yMwUmNAbUes7hQfH56QtX1bjb24dW6Mgz9qCRx1cDua7CULqw9oEVGt'
b'Duz7QH3RMSJ32UanfIGbr4y03Jh/hV8twxccCH0cRhc32A41hxTEUqgC15ywuNT7wHKNydDh'
b'Mkelaox6I+Rqp0+qau/v6H2oNtdXO5CKjdq7ieLi5s1GuTu6qai1lWDFLKkqWpBcYax2FxE7'
b'6M4dh7T2qKF9bEasA7K+utdJ2a1kROWtMLgAEnb4ocH+WRdK6DKFgWdKSYhSSk5k2iuR4260'
b'otNKw8dn92y24tvo6WdukOMWdvfQ2n/8M3T9j2dLTwmNsmzejs/b0Fq/O0maMHC1ZgkplG8T'
b'+pOqOh9oexXpzMvigxysltPXmLm6uZq6wdzgrmZw2MZFgTdmSi/K3avKolq431FVK6q6xEoo'
b'VoobtBr7mtUSQ3nQi5oZaCRr7WE1MGjEeTuOzCzJxWkOW7xWT6Zff/936d1zKeXlx/f/8k//'
b'/WUpqYblRnIDYA6mqjHlSaoMsFHJBN2hailCWZm4qwhynp6eLjkowpETFt79myVANHE3iagi'
b'h+1iuHMyhhYdaV92euJs5f11pdPd692w5gyIfFkVO9y2+/X4/LTGO6N9Bms2zx8JU3IS8SBk'
b'37c7TTIF3Bzyv13T56fTgfprX35Dijspjl3Wi2bH198Kf/vD4wKrPwHADYlh/NSwL5q7tz7I'
b'jxOQt46Opt1+L+3g+Ao6peu+j3dV1UkI8BQ2ksJcVJ1MJKXejgG5IvRvXBm9nVL7vTrzYOOE'
b'RQTVbuEKoJSS2wskL3mKIIKv5haAoyxX15wmyTX0bL9tzSzszurusJWXdpo6ZGy9Q7BRe2Pu'
b'T0dfAyQxKNvUYqvybuijizclk/pKExGEantKERynqC59Ox+neFx1xwOt+U877+vhyere6piO'
b'3e+OOPugdY125OSDntj95APul4GFiabwPQLW+B5DNGZuffdYnCRTmlTVqMzJizsoLjuCate8'
b'cfqi8RFnYCRL3COSQgW0zfyx7lkRSYA7izVr76ZSGOdF939vpqWU19fXd8/wZVGtmksGhmv/'
b'3ZbsTp/G0egnkIiERn9KSXUJz7wiQqEp0MgYs/Xd0bi5z8IA0UAkpkwRYrWiVnM1D4zloDU3'
b'YABVawgDdw+DFoilLeFBjzAFQe+6txkfr5JYSGaWU4pICHUY++khUsrCBDPLklIKy02Nhbdb'
b'tP0kMdeUkincfbleSylMWVXD0w5TRFcofWSjz/HdVEO2qWaulaNvcLjGr2oWxkgDwnbz4ruk'
b'paPwPiwRpi1wdjypYRzI6jZAS5RWVN3phBs1PNXFqFrYyyphfeXUKlo0t3mec74AKKUM20pE'
b'JOC+hHDIqrJQPNnhJZHq07OfhyGrjH4LoKpWltpXK6pLkBbuHjll9MHgKjWGHeieCItJThIS'
b'E3enJ3enQGTdR7EbVZ2qP/7TH9OvvpueLtdXLSpaNLGaSuW4Z5hoGmp7xZXCsFiQxvKPpQkB'
b'zBa1nBi0hRXLbeE+CnH4mUKAvyHk9DeSbs0I/zWY67/Y9O/j8JdMn3WkfEE6MsPu5487EZU1'
b'lRAABTCHw62YM4SrXHQT2bq/fqygArJQK/X1CdoJ7O5mGjQFyZzz8/OzXue4TelenCkiwiQZ'
b'gP4qc2hFbdmfA/9sbcZOCIDtK2+MzJ443Ge4wUoYCT+2MAIkU2JH0luwi/EJG8jr3Rk7e2jG'
b'aevSKfu/Y7Jx6KJhAcR7kxo42Ih9Hk+nDd4uA7/VtTomhzp743HDb1Ivh1uOxm5qelHrLdC4'
b'UxgwTZQmXo1N0fN5VZkGmrMPs3Kdr/k1ObC8mj1HlYE2VrcqW1PvXcdVtVsUmKp5xXaVwmyr'
b'Y1CFEmu+F9s6FPeiqlqskwReHcOj6dn3h5VI0wpJVx5zR71tQVYBoaCJSlADom2FFTt6pn75'
b'x3/8xwgvWEqpQxE0ky4X6t9/ky5JRJLaEuizS6Jw2FOHtUQA/+k//afX11dIMjMPD04Vieo2'
b'8/5AMGuxHYIUTAPk21qP9NK2C3jk5bfhorkxmBd9MFsVBEzCWT1pZuY0eE4XDXjczorUFPsl'
b'pSlnkKYaAD/09Z/efZMo6hYKk6FL1Ceu9+i42el9HSaRHERRpWIBt6Ju7NKFMpcSo6qqYiZm'
b'RTVc/dOaxbBU32jBYKK7I9HCnIAWAN/gIMOuq1aJNUybEUbklP/7737/P33zzYePL3/8wx/F'
b'xTxBABi9GgU5PAmEIFlUGZ5qSYBCI8RoiRl0SDJT81DdM1XNdT6CHTaQAVuv3o+edH4TQXad'
b'1dPn/xbS59k5HI/vn57exD0Pot7HQ5E//u7jgLuO4/aS+1rpdLT/9oiBBiZGL0A/V2pDSj+z'
b'ory/vH/ukR/15lcg0tC5a+hVCgDzQhJM5spgjXll4aQNDmp3TPu+r9KqC4/GV6wXhlmAYCOr'
b'+EAkTZNMlGVZwmsEbFaTZCn76mOxq88anMH+7Ix5hueKfdt63wEgbqwIsTScTg3lHGQCg6bv'
b'5rS3De6P38mmkD3IN0Yc0zWCOgrpUcxOJktkJAAaMvtcLH7TDHRHdQQBME1Tq3RPn5w28sgg'
b'65BxhLYjLbTL6YMF5G78STrCxV8EHK4qZRjcFLLGYmcI6A0pPPygrate1ClVPM5pBUDc5I9/'
b'72xMVgwENyulXK9XcYjO7k+nOcch7ePQ2PkmLapRrbqybCv8JhJAScmQmvcahoqeiMBhhqJa'
b'dHG4s4Iqh2sPQxGRs0UCeKnTmtdab7hQnSQN7kwRYcB0pAdM3SPaEkIgyTTi9d6pcZb/r//8'
b'f7+8vEQfg6Qh6VDAvn83/fZ//48hfQIjnBM0wgKaC1hoIL3txP0icQ83xqrK4FKEyEhI0psN'
b'NskRjayaZl7FnB09903XK+ob2aslT5UDhAK9ALHLViGqGymKiIel4Ro4p8s8zzlnVUUlcmBJ'
b'KAmShJl5Svni7qaLmWWG9+eLqtIBYZYkOQFQeAINEup9WUTddVkAE0GQWJ2CHZHVbmOSzPlS'
b'O0KElMAtWeup6mLpwpzM1IuyFFPYAoqbOWVSV/PCbk5t9YRvd+Bu4xAImQCCDEkME3MDYPAC'
b'Lxl/Fi+fPqjhpfhTkkt6cgFR6BEb2R1eFiecLIbYO5W+AOEwSSF3iJAiIvAkkgSQQyCwHYK/'
b'Deg/O/3toaivld7GQI9db/dphr/q8f9XbPxf9bjdTzs0dn8dfhYherzU+/M3K3o8fcWieqoX'
b'WRNzAwi1nbinAybHA0IUPknqQGEs5PT7ndSrI7nRJkq5xZn0UoqVYiI6Lc/TszVbwRVbCFk2'
b'LIYRzLUHlal2Cl/jc3fsj2h1PGQe2RoceclbGLQ2aINgNlBjV9RIALDiwpv6PMfXAVQViGML'
b't7A+3g0JALsN9JZj3dNpA7wtizvDslO8ATYL6bTw3q9hHg84noH6QvPktH5gUAZbG7wFQ6dt'
b'FhHfsI0D31QXK0Eo1bYZTI3muhTXEh7Na8uHMnfj39dVtEQkOarOBskkqbsMqnkAwM3NSzEz'
b'B6oL9mH83b2raJvBipvbeBZF/hazyUK92xuvWmto8PV5fWscHVs9VO56dJqa+6DVAqcKmsSf'
b'MyhZy1L0SnFHTOXmiMDZHqmlgSS///57kuHn3bxKAA5L5VwYRSaXVR13rK5nq/SPhapkmxFz'
b'1/AqK00YVcuc52tKKVOQICLX61WLf/z48eXlRVVdF3cLmiddLilffvMf/uH7X3//27/7Dznn'
b'j+8//PGHf/n0/s/LsoRMoK/8nPM0TUjy3bvvzC2lNDWNvUvOEDEvootI7ma9aJGAzcruCcOU'
b'Y1g27h5x2NXAoo3bYmQq7mJSnQMNypAhT+iDNu7W8LK6niRYvSe1hSykiQVnCC54MSuX/N9+'
b'+JOnPFFein6b+KomjkSfKKELR7FklkgPBr9BoXQTICWG7lNyU4DuJqDAmWVHADR7gBNJU5/4'
b'Dco8E9Ru35Ax4uNbF8bqbeDfU6QaAeBzXtmBj6+LX38K7/9OOgcj0XfueBXcrpCfd7VsG/a3'
b'tzLt8cV1B23fLuJkWo+w7Fjsg6AZX0Se3bEz6Zf7eM0DAEzoQES+tZBZuyORiOP2EJSnsr62'
b'SBfBIAQA6+do8HPDkKBd6lyNg8ydknPoajYvEwsUwoSAp6VC9gTUSLHB+w+Wb4UXdDOvXNRo'
b'jzhJt3EKOkLb6y0McLMKHMgWxbP5wGNDdl5rjDvvhN3OM1uF9msasu1XgoftGdAadb4m7y4q'
b'2eXsXo+OuI1cbWp3rZWzKMV39kgvYUdZ7b7viIqxYW1BhG8V7aWNgDgkWraZL3SbgWMzjqju'
b'2Oaa05VAsJG9x9s1u2WDET746epaFB4RTMc9Mmor9Xp3o+rui62W4uKOpqw/Djyb1M7M0Ojn'
b'sC0Jp7PeVPZNq7aGmTuUpEEMnqyYWSm6aClmxWBrsKcqClA11aAyrJiHqn07L4Qy/nmuf9ZG'
b'UgQ2TdM0TY3vLo3R7uZlmlhKeXpOgKdMK9pHzLyk7sp/CJjQxxyoXlEvOT9Nk+RLKNXE72jy'
b'HN0ESKgenyIPSSJVl5rueRoCArr0s6XSAIWqykoWqcMAc7VSirXDyszC6+V8nUsxBy7ff//u'
b'cnl6ep4S6T7P86ylmC3BqzeTpOVf/uXlOn94/wlJrp9ePrz/cX75VEopg7HvekSTcE85f/Pu'
b'3fO7d5dp+ubbb3/9/fcpZ8kT5CLM5oUuKdMUFDcFCRRQpIapRaL4SADUaNZhDOIaDoo8uOvu'
b'AtPq3Z79VAfglJB+9TXcFhIRFmFmbm5xc7iHhDmxHar13G76nIKXpXyCOEzAlDi703xKFCAD'
b'Kdx9OhPT5Mik0BOjoRZEmagXK5KQiETQUIrBvBT/PC9APflBmDv+1O12vqzwf09jehwMjenI'
b'HviFpOMdeR/D3bov/z199fQmfOnp8Ww/35TtFsYjDRph7p22DcfaxnA5AK6QNaw8DBDzEth3'
b'1GluJ34taAtzsUNCkXbG0A2fiflCMuVMMpzOmaqpLbxmZDaDWnevZppxlwWTqdVOslMXa+FB'
b'DGzcinN3boznfH/rDuaug+RVbjm+eyCETsSVu7pu3i+H/LdmcNfC/tNxRvqvp3V1SHBa/nEh'
b'3dogY6+P090HsPdrO/I17TQZjjV2DN0L7GYMd0ZmrHf8qRYCABCKNx7zUHeTJGznlIAWLam4'
b'Kuwq24hd41D31g5LqI5PlbyJuDWr5bz2sQZAAlJKHsRwc8XYYaKWolZCiFfDLQWK9wLAICIy'
b'par5M8/l+vo6z/OW8FvfRcO+tRa6FicVEOPeInyc7l1ng3U9EgDNtiHlHO2nagEFW5HIWkhT'
b'NTzOmohE4ZISSXosgPWESdgsMLR93YY0ZBmOgLrN1jZm3VssagY+Vg1nZUVnVcWiqlqakxwf'
b'yIDgXcRqfH5+/vbbb3/729/+x/84Lct1vr5er9fX10/zPC/FC7g4Sil/ev8eAFQdkvMlXuwj'
b'0C3yvRF4y7K8vL7mlBz45t27pRT362I6yVS8ePHmKNQTkuoSEoAIVltHdTX06HwgDbFRKDup'
b'qpYlvi/LQnNVNV39GltTZ8L2tKlUodDdGLZk7QcAVp3qRggVCCuzgy4iOVEsX0wBx5UOwVWV'
b'QKrOtWyCTJREv7gn95QkUTJIt1RDM5qEZl2mENJutwcJgFh/9zwoP3LTe/U7vlJLt/00P0I8'
b'/DIlBj81pkHQ8Yq+Nh5NjwO4f930mcTJL8FK5Je2xn5KGt0CPpC9n0otvTVxJ0zNO6/cR5MP'
b'tG9XXHhFOF8zTesdHWGcVjHiocDIDkjw5V0BA53mRke42HeAoHAnZF9xzGjaOBrh9XYGBl2D'
b'zIev8RBMU0ScLi7TNAld52VZrqqLuxrU/cI8kQz8JRS4no73CrCq6589B7E1PpEYOVhbtDeg'
b'1T6gvRRf0ScOqkRjLTuL2/FzN4a4e2KMpN8Il89y1gIPrQqu86YxuzJ37dkxIN2dw9TfWe07'
b'ZN/721vOZls6MuN3A9XL8RqGac/Lr3lCPXgL1sfuk6Rr8xUYgMCZkh2MJkmGPKcVR6BJkLZ9'
b'jaIEUCCgE0tRV3o3ZoWqGtG72UUBu3pbp0QkC4KtuMoKVBUQ6aGbkghTxD2LdtowpH0nVkUg'
b'NzWFursbLaXkLoFlq45QOFd0j5NfXd09YlyrQW2zANhJgvCH3CxogZCPnGhZ17fMFCG9KV4l'
b'DIV0L8V/9cxqi6wCllIkTWFfizjH7gq+SKrqp0+fnNcgU0hWGO9rG8Zz0tpiFpGIH9IXaox5'
b'176LP7XM7g4tpZSicylzmRczW8pszSCbZ8lVtAAAIABJREFU1jSmoNEkdaaUSikfP3x4/+c/'
b'55wl5ZTSZcpPOV1STu/SpCjgbM6UmS4ppRxecSM4Xb6EWU6Yl3z69Ol6vcbMigjM1D2RkvP7'
b'D6+vr68vH95fry+/+dVvLu8uUCBBXIIMMCsx0SMB0MZQVjogzJpDjuHh77+4u1uhmnqxcOoW'
b'LH4a6aRYRPQKFNc3JMKpUuifVT6QV3o+RBnbGTWH67PLJ+2hxVySuENSdvclFrHLCyyZJWDK'
b'QvjkmolMeaKII7k9PWVflsUtGY1g4jTlS05fKAG4lYazde9u2Qex3Y2r975T57/N9Bac+jed'
b'Np7Gj7+6j3zNr1Ddv7G56GjgfseD2/TTK7r16/jTIyjqkWJHqPQZDa13QMWEOWLJMG51MTNz'
b'lSZAcCjBxBTKDmaFTHE5kyOnP6JKhs/xjR4qmiu6cE5HCY+KVbYAmln1Uw64wVNKOT3NpELL'
b'XFRV3TzzQnK6pJilxh7u93cbigFx9i+3B/CIue/D+qibpA8Uzq3yj697Y/ceAXq/lceHvdgu'
b'eDkt8NgXUnat6nTesZyBFPTd5TzggwZVTTqiOlZxCuj7n7v+dseRY86AYiNn+pjGcsLhjRB6'
b'gxU9NqZCcEL8fDw3UqYBWLeocNWWnRR3h7EPTliIpm4nGuYusuJyM2sabu4HwiPmK55InTtz'
b'R9NYyQALJknPOWcR6LwsLy8fPnx4eXlZytWKllKsLPM86zLP8xztMS8wuqt5xDIQh/rgzb0E'
b'wIW4e3cdVEoJQYTaMiVZ5pkTk8XwGsI5gNTlEkbHzOfnz/v37z9+/EikAV7LosuU5bW86N//'
b'SjUoNKScVBchj2wNH6QubAydGK7X19f379/DxYhQUNHiJKXqluzlXSIozS5iFemgesEUACJh'
b'XItKs7mZuZVS5lLmZVl0mVV1saooT1s9BYV6TdECF2/hpUNM4cH9KIsJU+bT9PTt9Iw8PX37'
b'/fO7b5+/+26aJgLimFKapilNU7pMSSbz8voy/+nHP/7pT39aXq8ALnkCUEp5//7973//+x9+'
b'/PNyfS2fPr18+vDt0/OvvvumeCFIQXg/JcDqTCR2twGeZAIQPPr6f1g7a2jvE6C1cx1oThHW'
b'oQrVHjpsCPk4alR24UD0nKy3iYcGXz+oxSFAllSuV0lZzc08pUw6IFp5Nxk0VLNrA1lcPV40'
b'n8RehRdIJq9LEdVvk1wkBe25LItryfc1Yte11boRZGS4x62yb7JqGwFkItMhqF7rsxGsTu5u'
b'1HnndPvXog1u1fu5XOF9Oe0kXRlCemDJHqM03En9aB5u/bczP1R0S8eWfK5VQNQbfiraoxs5'
b'29G0qv9XLl114dye+Nfi0L8Jhf8m0j7yImrHT/jB65V8UOHY4BsAqPrujc+K9gy4TcTxUOyY'
b'TsFKx2S75xXkcghvNODeI+Qa27D9ySg1Fo+V4jaTk7srnMIUgMBaADC4WUkRTp7VtzSaz0QC'
b'Xcpi7bubOoxwSUTlBVklF5pbj6p6GvjK41WSdIM5KPnp6R18KTqb2TLPcH8WyTkvpYSNZh9b'
b'G0AVyTYckcEBZ8OaQeG4O2AiYgUkJVW2qzdiu+t3xqHf2bciroqIUpwoBh3s4vY8/jYknVJC'
b'4Ir4MW7dznEE3Ox4ZfQL9WQeRyi5WzZmm5VQoRsqJ3t02W5mW/a5VfhLA3I4lCTJJAwXNI5w'
b'L94rsODQb23Edwfv6AEJo9xp2H01AxxCg9egP+7J3eEWkekw930avm4gWWCA5THqFivOy+ni'
b'7mCOeur1Hf8laQIiEgif4tFgcTNWmUOSSaQUGBTNjiKWrbiIi5kuDlMtBEw1pSSS6SYpARCH'
b'mcYaUC19qPtY1ZsiSXh9CQV5koIaUSyltBSd3n3/D//L/3b55leuy+unlz9fP/3n//P/+OGH'
b'P5ZSYilS3JayLAtcYzBLKUGui2BetHihMWUmNqmUcJlVVYtXuNwnorK33ZdlAeBFDcGqX3QV'
b'MSmYwkmRaYD7PTNUZ4WCRDjqgTqTJQrNhbSi9AR3CqsujRohEb6tUlas8o6+2RWxOy0hPT09'
b'CVJ4tYfLoiXR4zxxd3KCE25wwEW9eKIQhgRHooMhEnF3XHKGKQRxYqlpCjU/B8xp7qquJWJj'
b'CRC6VW5VUyo89izllRHZwuHu87I4DeIpJUk5dCmNFBqSfPvNr3/1q7/77jd/J09JRGB8fZ1n'
b'K3/+8X0pRd1EsghUXQS//s1vE+Vyufzd97+epulyuczX6+9+97vf/Y9/+m//3z/+9//2X6/z'
b'R4o4EMKHnLM3k2sRRIQDETFninM7AiGQDMOpKpWtnnmcEYlCrU03zd2CUhABnREfQwLC1BXV'
b'DgUX0uFeZ7HHsQ5xapDRYOcWiLp5CnpMKaK+GB1Eux8Qoj4AoDgi2J8q4PTFIQUCmYinlD/+'
b'+OEbm//X3/4mT3KpC+Ygn7qfVup8+2f8deOlc+AL7K/en64889eevhYAfaScz4X+/1rp3+5q'
b'+Iunn7j8Hn/3kZyn6/OI+x+s8cu6JsHtSdbZkMfSarjE0MiQCLRZ4XIrA0EbxDEd90KTD1RP'
b'i2zk01p18ygy4GCIhEaEmsnTk3DmUq4BSubr1a3knDu3qUNe1ptiZeK0X1dYM77igxeL3l9s'
b'hAntIddaKvVSdYffCI/l7uG8YjPaLXAYGrd7RMO710/LHNsW8a3utOF+847khK8eO1qGLTuk'
b'qW4KoGPVJ+N21uwjZds7frp6j09Y6cSqHQ746CNpR2aMdY3ERlh/tueVtTi2J1ZSt9aN14J1'
b'WT3qc4A7Xk0eMXjdWamaFTFvNH+G6pIpipagMBE0qpnBLzmTzDlNz99+8/3fS7r8+Id//sPv'
b'f/df/8t/+Zff/U6Xq0eMs5SgVpYlRYAyuMNjzxJu5nCN0H4wBz2JGNwPBCdJcZi10avccd+a'
b'QLsBxsqQhU935NdZkoAM3aU2v6nKN6qNgQRjtcmmYmMNg3Oz8PD7LiKZYmbqyJJi7Etdjash'
b'BwUwERJCAYwGkwCiU05WYwh0A9a6itybNTAiNHI1q6iaUVqiHQhdLAMZlAyZRHWBJYeq6rfv'
b'nl2Yc7rklHJy13KdX/jBkYyYvnmapund9N0lZXm+fP/r70SEkr2Zv7v7p0+f5vn15ePLjz/8'
b'4fX19fry+sO//OGPP/zh5eOnTx/fv378gKrl5XDvHlfXaRVpKpdV6AQ3GbZeGyVxr86jxhR+'
b'eUnSzvfpIbVtBqmDOjDjqs/Xls/ckFbTbQCgISIJSKaH7NgBqQYZAKsYIbyLihEJE4RF5yvk'
b'WSYLCQCQc5ruqADtDkFsWcvN5YMfM/eNvSsN263eHobX59EqYP/WKQj8BePXtyHrbpXsTr31'
b'fPwJ6Rc8Pj8h+ejI+mev7W9zDD8zffVBeHBh70DnDglttoyv+cUdHoLGN5p9mqEeoXFC99rd'
b'u6Usg4u8MemLF1e9l9DQjZ+tOgha1+0G4VmwiCoQcm+cpy5UCSdA64HZqhBJT5ninH1ZFjO7'
b'Xq9mKXCSCH1wlheasZ3THOW7R6vWY3k8mc3qTdT8/JyYIfpgGVJHqWPlfjs2jLg91qrtVp/N'
b'HeodXx+B5jBHmy+3ZnN3im7zjF7FMB65u+N37Qy833fHGtmkK77SfptRunWk75b3WOCu47dS'
b'w+Up/FMBCIhLGkkOJF9fw2Ma1Y3G1qKv4mhbtLYtzt68W60yKw6FucJcTbwEJxvDju4k8AgJ'
b'1lVavdELdBVORlODU+uluNnUoup+/PDhD7///T//8z+7LhFoNicGnzhgHbCuw76esdkR6/ee'
b'Ye1mjI9sZiqa+wVXdvjv6snMmnfIGL3mhAhVySc0+UdFsrO0ti18jNbGe3MXVmYh3RvkBUgI'
b'ikio6wuTJxBSCS3WmMRl3MI9dHRt3xBfGeaCKpVarTUc7p5SJQB8gXohWVW2rp+epsv18vz8'
b'/Pw8XyQnJCzqpRShfevfffP993p9fffdt8/fXN598wQg5xwH9LJoSknL9fe/++Ef/5//95/+'
b'6X98+NMP8+t1mV/Niqu6GoTffPNNmA57i3sdxhW+mu7UncZqcEXx/VJpu+AAiYfvcB11BXdH'
b'X803rBEZDpTIEAGfu0GCHJkFrC9WCN6Vi8wBGDxxow1RF35TlQxD9tksJ0eW6ib2Vtq0e2gl'
b'1o266d54Pezbffviv79zdufp+Mqd0+cXm+5fY5H+Gvv1eGqH6dco5GunNyHFv7V0hFC3tur9'
b'y+84sOOhgRujPb51/4odPcYOp80J/+LOtJ4XvmHn77sQ3/tVdyx/V+Z+1x+GRVr7m9bNBhq2'
b'ogOa+zRNUVT3gOHul0sYyaW4tkO3uJd2bMx4aK9Yd/jztEfjCNRXRtfsh1BW224OjKQbp1/P'
b'YD0ewkEhfmzMcRXtLqNb875bh8fGnD7vivhjLRXRRvydn5DGGb/Vht1QrEhly7bEdtnX7+2t'
b'nu3WNh8RzKN7hyeOQRte9F77aa/7YI7IuEcVMAtHKVXu5EIALoQVaJlnvb58ev306eXj+8vl'
b'EiTB5ZLXDmoZ21mrU+sYbhwNNnKuLbzDBJ3uizO+5+mgrb0DAlIDTVjIRJPNlIWeOsyawcDJ'
b'sO8rlqenGnZNgh9QUxIAqVoqwA0shNIcDDMMOFwkfMuquwZzloNdCqoFdjQgjFBjcjWsrOkY'
b'5zH2u1khmaacc87u5f9n701/JUmOO8GfmXtE5rvq7mo22U1SlESRukYcDRZYSAPsYoH5c+fT'
b'ALMY7IfZ0UDCYHZmJYpLSqTYTfbdzbpevXqZGRHuZvvB3D08IiOzXlU3KYmiN1CdLw4PP8zN'
b'f2Zuh4A1nXjsdrvNZsfsnVMljvBwrvEr5xoAbduenN4mZl7zxcXFatWcnJwwe7Df7XZd1z96'
b'9OjFixebqxebzWbYbmPYMdTsndDaMZG3DAPRlO/5aHE2eodALBEBFl52fr0Qz/5b5ZnZzkVE'
b'EHNunDO0xK5FzSAxiDgmoZHV5OBuqpR9OJKGfKQ9VUWOIlpTSGkhMztH5CTG2Pc3CwM624pm'
b'vLvM8XEGMRugmvNOXzzoLFU+p/ty1Zdc/nEMT+wQubaqv6H1/5dSfkkx/uvyqvNVFlj97v6P'
b'L6UcZKa/KQeA2iIDPfTiDGYdmcQZtntpVWMDFPv4YkLVFTktFGMpopUiLR/OagAYZAGBwArK'
b'+lHVuCfOmrWDU1VO7YxUeGDeMeZtVxCRJxLVoDVed0SUcrTnoENlt3DONU1DpIAMgwzDoCFi'
b'Ja6VDGJEc977cWD3JCtM0L+5gY6A3owa7FSkxr5ldqpK0pqtyEOohLh+2QyWW6XBmm2B6u/u'
b'/9iv8PByvtEJbd01pM0+B0BMauJK95lwreyjwAIlD7XnEIUfwY5H226puGpf5IkkVs3p2FOt'
b'SrqeapOCMgQLZ67LnRIlEmYmISBChDSSOUeWegkVZCmVTRa+rbIQQkrXnU/DbMz9qiVKVuVE'
b'NAxDt9nuNhsAjfOiwbtsBiYROSoo9uiHiCxM4jzHnA4gMU8fMVt4sPku14Npja4n6+a7kuaE'
b'x4m8k2cHkabUf2lqTBQBAWIw2sS4GYWMK04ZgGkHABAcZzc6mxSh5CtAZItKiOGZokCdC6JB'
b'xDOzGdqzRQSKlMM0pSWpkYo5jDmoGr5ECnigqrEymQGnmKTm/tsSNc67xq/XayJiM1jyHo6F'
b'PbEfhuFktXZEbduKtn7dChMc+/ZU4NarcwBPHl/tuuD9mfe6OnFtczq0mxg6iV0cOpYYVfu+'
b'326vt7vr1foOwZd5z9NtJDGCW/MRp3TQBSIlEYAiQKwUUOxezPin8NVCD4tzXWYnHbvAFqZp'
b'/W0OhAhE6hyDkuONaPbN0yRWW9ssiuiM0pIWLK0nLaZ4te1iJjZihmOaJwI7RKaznhx5smYi'
b'+9fLQBTixpRJ2VAcacwvGff/KsrhnSnf+ufcuyPlNdD/kYu/Qf//KGWmzJj83nt4f1T3xYbj'
b'r+xDulzDQVCVsFrhxa9CJ0ljNWXrDhpnxt/5YTNwLQ2btXyRc+7jj/qiMehy0MzMxk1nMFGz'
b'2YOq2kl6wTdDP4hIo7Jer83pzeop7oO0t3Lsm3UQRgAl3Od+F0YmLJV6OCMDzCPzqB4gmHoc'
b'6qGw9ui0zN6a1bZIabMri7S0X9s+rsr/FpIbT2mKALDfkcVW3bDMwPrxh2eUVo+YqiJLUONd'
b'TPq+T6XHR3V/GHMpG7dYYmCNIiEEEYi43B6mLEbv9WLehbGdBKTMXIlWCSFGBwZEJBKgMfTd'
b'dru9NtO1GKMZijjnaLUSke12u/+JWdcWN5f6sZeyr/3hOrRPaY6EY0jUQv2Wt5Ljrz1oqaVg'
b'WQKkjt25yHmsmAkQlNklv1v7IlQ9kRCU1OK+khJDnEOIA2NlwTSJlAwiVxlOKsuZUfOdl0AE'
b'QArHFKPE7CyRRozJnOZFZBg6UjCzOEe92+z6tm1Xq1XbtgR15Jp27dvm3vre2en6tG1PTk7a'
b'k1vKzp+ds3NNs/LeM1yQ+M7Xv7Xd7i4vL188v7p8/uzZ40fPn6DvsNv2AAToug5MKtL3vZqv'
b'SsVeyhgaD7cQW+WgY2RHduKKmE8O0mAuHqvi8IKarx3KPFaBJJupxVjQ/AA50wBb1H4VU3Dl'
b'YwBD9zP1k12fUcTYaxMig0SoOL9qmpf4ACz+e+gVZD2Bm0TotwwUolVb9+qJeFmpt4eXPvxa'
b'5VW1/q+ar+AlrHzcP3IwkF9qmWhGzbbe8BLfaNf5FZdqGwYmLO/LitA/mf1/1hLm65VX3dsW'
b'agCwpwx/adnHW/WulpCWKY8JOJR3dBG3vW53aghlcDz7FChrnTxBAJCCKftciiQVuAjRqGhP'
b'zNeCwmQduVaKWCCFD7KPOiQlOoHYjfHySVlU4AyD2pZslTszewghaAyiMfTdQGiaJrPgnH8+'
b'+12W4So/Km/jMQJ6aZKqpgDnOc5SvU2KCNVAs8I9+1F3aqB8aE85Dt9rPnBoDz5Uw6sSeekg'
b'lzlJ8Q3rSOFaT2W5wskDdkJOL/1WqeF4mw22LPZxVudsTcHmutph6rslgNU4NWzTpMwkkYgo'
b'BZZfQrdlHLJTYqKrBupIzT5q8ai5Jiey2DKkADz7GCVnxVGxYFzkyAFIVKc5wH/oB++9b1jF'
b'OWKNwSSOQpmaw7+ULstUJKbs0GxldmiwPAtLcnJFrELM+xUY6C8+qapKsODxpofOPp3Tuu26'
b'AExcznDqOgEUQOmcc5rqN6GCiIgN0IvYaZE4FibI7Vvr4dmVpkSCkYhBgHKOzDu22X6EdBaB'
b'4hZs6+P85LTrum4YoqqyiqRwkUqsqivvNYbt5pqZG98OUYQbds55co6Ymf3aN2vnW8fw0DsX'
b'64cPH7z9jd/96QcfupNbF7funp2drU9PVk3b94GZd90uhi4Ou25ztdtehdgNYTsMnUpQic6z'
b'b9r1er1arVRVYiwQXxO/SsNcrnhfvCMIC1OvMN1/lU5ntgqO76RUW/7XsaGiiGX5FosCFAcF'
b'K8TCKQGSGfLiQbfmT2bf7tROu4ScLo2IyLESVCUG7Tjc9ARgkVPXDOvAeC3Utr8HHH9lkWn+'
b'MiWBf6Elj+eCtPpPqvxq5v2f8gj8Kstrj8P+W4fqmaGTmqugZm3V9rZY7eJm/BpFK9MORoo/'
b'UqDJ/NMkM2X5DL3NxZIlXYZm58JR6liqkDSpAAt0Zna2Q7dtmxwfvTc8tNvtRGS1WpWsUjMs'
b'WPDZ7LuqSFihMnRZHPBSj8kq9UWqTLpnZX9+Z3/Wo1R+1CcYs9pmNVipu/BSGp59cXqrEGHS'
b'IMJwYUYMdc2qC4bgsz4e+MpEpNnH/bPfC7DvwEcL3KnRPzPXh+4zEmVmTeEv5ydCzKMJ9dHv'
b'agG4rXMMYu3NFBsSUQ14wQNFAKjIAKoqKjFGQVROifJMpGTLmkFEgEiIQwhd3/d9lAFYOefa'
b'tlWNdff3x5CSrD6Sqy0HSXHgtQBfG5uX+eAuD+mhB2wiyp85Ym8ZQ9QKU0CASWCr44iLiBw3'
b'rJa5OQkVROQcG25XDVACWAUgfeurD7uhu7qOrBxFiQGqY4wut7xoDcjOCoB25YfQaZ9XDGV/'
b'CXIWzVdV+353fnL64N5dYf/Z509iCDEEyyvnfCDXExxDnMa4bd58cOev/uo//+LJC2rP/fr0'
b'7Pz8e3/6r+P65Pvf//71ixcaokbZba77ftd3W1IZui2pEGHb75xzTePv3LlzcnLGzCFEG7HC'
b'HIjSKWuZr9p5KbG+aNY41UqnSa4VTBnIa8MGR9y2Tdt6QaTYk+OoKux0HrsYmCqI67hbJsAS'
b'Oa10mlQd49issUvx+/1sHyo/iqiHPdY8fnh6IC5iJ0uFaFIMXdtNici0SiWoc0VYy+sqfT1F'
b'CjItNU9u5QXzxcts8m4sluy3vNZJv4Rf6GGnqJuU3GYav3QgB+rCd3WiS92ngS+r0DQi+2FP'
b'g/1IKeMZy9LG+WXq/vf5dR6HX6ccwPMyW93VlXFMju95lF1g68370If2H9BKcTC7VV6ZYkuk'
b'7aRg4inIM8blKudRrb612LB9ODv7U0UcM5KRSyx7hWLkkNk6NuYXIWKa8lF/n9RMFoKQianm'
b'q0Cy6bQPVsr1GFHYPdkBnY2YWeUCdmIg6kDnJ6ehbQz6q6rZ/7RtWydaKnt2DV7z58TS1Ht2'
b'9aAVPqxTQEn1A2qyBJfw+XleJv6yOu4Oy1r/OnxnTVS1V0C5tbjv1mt5f+daRGZ1q+ybwMLO'
b'Uj5R47aagOefzq0124lZT+sKF/edus5DnouzOkuU+vJY0fwVV4qaA5dVU4+eWDgXMxTJ7Zdo'
b'0R7Tn8455gKvhSojY+s3SIahE+j5+emqaRF3q9UqhNDy6JJuY2L9snmveVG6BXXOZSdiGPHb'
b'eDbemxMqKRQxSoihZxApvPcxRu/ZTgaYmR3albdzAq2yWdfRsVARTOk4KmaSdOdJOZCEHChE'
b'pG4/pjv7Iqlzjv5Zy+dsceSLPR6zSGRPIuJzdl7NpixSnZnsF1MEUBbnRrHN0nqQMrMEy7jR'
b'dtvNp59+/M1vfO1vf/iedwzXMHsiijEi8X9WFTtvzCPjRfpk8gdyxJEUiuvnVyJiZ0xGGo4c'
b'mMyXYL1eu1Ubdhvv/RtvvPH5o8dh6Jz3ishKjnkYtifOt62PXeeYvvn2168uH3/2wfu0Wm+2'
b'O7c7H4b+b7//N6EfPvrg5xD1BFbROEgMIsIqpiKJqs6Rqm43m0+7T+7evf/GG2+k+P1SzuTU'
b'cp7YFCTEy07VUrhN8L0F2qxX1nTpST44PVgmS5tMgwAmYuIYIzn6+tff+eobb0QZLu5cXD+/'
b'2j5+srvaRo22FC0+r0VPFhHzMUsHY8AYvTcLkCVP16QBhBCCsoPFoWKXNobXYJr1w7QnXh/v'
b'/+zdI5XXvHLWyCMvvkaZNe8Iq/0iDThe5yvVU7WQ9BV1n7ZhLzfsn96xSj3OX+6k/6agwj32'
b'5/5CmF0/BJqP0PaUXOe3FvnAS1dKvd2WP3X/1P4wwdSSw6wBqgpRiBqOj6rIDrVIjpZjkrPq'
b'xbn6Nosqc3ubutfHWc0RvlqhjZFpm1uwqhrys3RIyLHzKKu1yrsz/+AauJQxSc/s2Y5P2jPu'
b'qTeau2n7l/u1+Gf9tYzJxqbWoz3rBQ5w9SOcnOeNTHOeRLmpXk7MSXuUdEYTncUd9vin6yfr'
b'pVfAIpBik9cDkm4dkKWR6C3paw89Mw5pPRTJVJ0AxLH6BctJIgKyPrvgWmVm9sSoNp76c7Ur'
b'BdWzmTWAYzehIsKe8xjHQtgmUVSa9eSkgenqrsW2QyOfntkjcOwfQb7WrpQJdRRlJZmhj5he'
b'Ve3MkcScOlU05ja85Ivetc455HR1xWUIBDjz3nHMQmgcK1anH3748Ve+8pW33rz3yWdPnDsH'
b'UQjBJD0bQOfcxLIpKx+lKpyDlhIla/b0CjmJaJv1en3akPgHDxxzjPHZs2dN00QNrW+iRhFd'
b'N+3QXZN0K+bbt89PTk5+/A8/ubi46KP61cnZxd3f++M/uX379qPPPn/z/r0ffv9vLp8+YYka'
b'g2OE0AOsGsmxEgFsUtB2t1lv131/m7IQVfMBVZ34oNrfSX0DFPqcsbsDcl3N4fev69LCtPLO'
b'O++89dZb15eX2901efrX3/ve7tnVj37wow8+/iiICDWUVPa2AbGqbW1J9GbiOiBRNsyyz6Re'
b'MDPUxHgJAxhRRPyhzhwqVGxVywamREiOc0BMcimzxZC24FDJR2TJ51h1Qs15UGq7+Uo9c8NW'
b'3rS8JOLQ8TIy3OrKfsLu43Rz81y/5UnVNLSWDVeLYgRIJyQ3Owd4vXIIKS4WXj4Snz91k89V'
b'4/yr0cr/Ouv+S1mERIv72QiUl2SA2cOLMGuxATWOXARJQMq0kq4fqiFBm5tuxkekSk17gJi6'
b'CIggUg15Z5aYo+JUQEpmTcsgQwBlTalVoQqoxd6gvKJnvZ5BuqWRjGV8ctywUXpn5qZpABkG'
b'HYYhRlNNRdKWmcmZO9aI9nLLK6kgtdQO7i08uRKBMB4iTxts/n86Q6v7Q7rfnbqz+xfrPxdH'
b'qWy3M4hfrtdnj/YmZVw1qbME1R4jroyfrpCf/QlNZlEMmLtGCsAvWf2GKMX7YTanpZ37o1R/'
b'cfbwEXLdHyWqZHJesptSVaIF/kZ2lQg8mo4Y9imiw35t+Yv1haRkLU6uxGxG3iohW9RRSZ1L'
b'pmweu8zjwVEWW5jILOTzLJgkoCKilLPIQVdNCyDGQbMVA5J0QSrmh5NS8e2T3IKQUHXKPDrS'
b'BluL8TlQ6ZGtruC//YmovmW0x0QOOQFYqt+WV16kmYbHGupmp9Zycn5gZgsobynCBwlpWNIx'
b'IwB27Uq2/h9++t7vfftbT548CUIq8J6DxMa1qmAuqd+ESGKM4PEs0YoDEUg1pg4xk6iY+QwQ'
b'oa0pJkRXbdu2bd/3UcV5f3p64YlVdReixKHxylB2+OY3v/nuzz4M6pm467aOV8QaQnzy+PI7'
b'3/nu/bt3V47/3//x/0jfMTQOgVa4MGmgAAAgAElEQVRrBccYlcCN9645OTvdbTfX19eFEpAP'
b'0/L4kyoMVTvkIy9Vu+5y3t6J1E0EciCAi39PPML6ZrNTZlxVASlHxBcXFzHGp0+evP32V8lx'
b'H4NvV9u+c41H16ctSRWWcnu6du2mbQKcuZcmjU1hJgQwk3POs3OkAYDIDTIBH5GVc2dQP1Ax'
b'esL0oHl/mR2qE3tBjurFs8iDfknl0KTeEAfP+n5kn7t5GbcDff1KXvvTv8pPUK1z+E35sssi'
b'+n+NZ2blEK9Y3Py+3DpLmQkMr9yF0Qcgh0JMNdjxgrx0IUwy0U4Y8egsq3vDO+Oi9V41eyb/'
b'W/cy3SWiYvNjacJCCGYXwcmJegSU5cBkrDa3VjNQXh6iqTrm0Agf2hoPAZfZnOpUc1Y/ppVl'
b'C6qzlJdS7E24yn4zkI2C6h7xAYGzNG86WfNezHndURhBlb68fpLqGO1Z11tJAnvW/GN3Rtmp'
b'JjwickTBTGumnSvfrXZ5VK/PKbm8TsnoZexbLdPsE4OVGf0TEQkYyIsHAKuSqkaRIcYYo1vn'
b'aDnVdzWfepUDgeOlaBxYIbTMA8sIlJS6qqp7Rr+HeFTG0xP/B0vXVaKQpcBAihI2KTElPkgq'
b'9apk5pji9I/GQlmpn+YraCRRqJ5d3H38+NHz58/v37v1i8eBqOk1Nk0DMZJLtVoLTVoTsnxi'
b'xMysHhos/qwyEXlSAtkJgAPYOW6btfctQqeizrmrFy/ado1mfXp6tmpaEYQXV4qGh+uLk/bt'
b't9++vLreBvzud/6odc1PfvrTXRxE5MOfv6/k3rx/76sPH/7Zn/3Z5sVV2G0hEodBVfsw9H0v'
b'IO/9tuuJdOi8c845MwulIzNi0x11DDpMee0Ut/j92Z9wzurWYv1LRQAPyHp9+m//7Z//h3//'
b'75n50ePHl5dXjz999OkvHp2fn7oQ7QyMbP0krzMFMcF0XgJNAqR9O53yWTOoamfpt/PE7HhP'
b'AJh18jjpp98kAFHKGghVJbE0HaI6d5Oqay5/Ln3FHOctryEBoEPhP165vDyVxk3mrzDflz4z'
b'+3Pxotn5HjoHqK020++JL0StmRtHbK7lGj85cfs70v4vUqwvL6v/Rrr/X3n5F6H7v3nZ01ss'
b'333tyo9/dL+oTowr6h86JezCZ/a/QQeWuVRJi5BgCmHUJmbJO0dmFgmzjlCl6rM0YvufSQyU'
b'qUYq+2NCRBNvTQBArHFYQuvjcEkOxOm9JwWDQggqGjQAcOYD4JDMiCswxMw5p8EEzB3SdNgG'
b'Y7o+Vc3mKIYzaq388cOiefdJpucMJU5HFTtS7RAcCiBOKy+Dn9y1D7BUekmrJiVDqAPQIctI'
b'iqhQVlj0c2C+mWK6pc4IZqS3A+dvWFgUOYY4UUG6I+0ddRhQmbShNJKqZ2DLxMSevUpYk6Lf'
b'2jC7m1qSNKaCjKUmzTA7hTq9O5HVRUwW4MqoNKSI8mQDbGjZ1NrIng/DMESxkP7UcFPaAIBz'
b'OtvjnGoZqOTIWTY3onv4gfJuq6+AUbJExJxja6JMWRFUnCOi7EtL5mxQz9GR4pzz3gcKRGQB'
b'LE2aiqJEKiKezIsX5DzApP707N577/38u9/97uXTzwN6k1CkOEaLRI2OHZiUEEOc29OrRcw0'
b'UzEzzg+W3FaIvGuda5p2RazSDc65QeKt23df9HLvja+FXbfrA/nwb/71H3bPP//k5z87WZ/9'
b'w49+8s63/+DeV7554twg/snV0+dXV/1u55z76KMPL87Wd25fMLN6JiHzlXJECHEYAjk451ar'
b'5vrqhYVaijECVA5G6rHiyidEs/+6MddCP+YDoxbXy3otC7ajRwurSauAaRM0H4UBePTo0eXl'
b'5W//9m99+vGHt2/ffv+DDz762ce9qL0lomBHRI4YEKEUlDQzxmrLk2KFNTELt7tBJcQYSL0j'
b'ZRLAH+rDIvp/ya4MFOG1KJbqsS517n/upTAi313WG71GeUlH8u+X7g03acOxby29/UrVfhGc'
b'fMMPzZ4/sq/Uj34pCP5VW/ib8kplNpuvB+VnldTzVa4fAfr7F/cnfb+eBTyKJaR/oLyU2+ho'
b'Ys51e2ZMbLJzV40pm+Ji+8umWddZSqmBiMzguubSdRcnv6fWL845zrrUkio4xtg0jeOkC6wd'
b'EK0Oa3PduNmAa1Wo9mPObJ+ZNbuK6rQsbShzYXtUZk/nYvrWqBuuAdnsRSJaAq713ckPHN1Q'
b'VOduwTVY1+lE17RRU8j+0uDKjr+ueZE+ywgXai+fSFO5tLHutRmwBBZL/U3p7giuEjX3G1ao'
b'FHvPKGLRoVDlSYwDq7gOcbLPjmazoxVWM1VzQaCCsmAnVCo5wQXVpvB5+iQHPCjVpkokYt6w'
b'+XSURi7SxqGH7UYdO2Fe1ZTmNal0xTzs85gcJOzS2XSeUF1hZue9qnIU0SgagoipVh1x0568'
b'ePbs8snlm2/c/eCTz6k9K21Mw5jHNbGaZMLoTIyBeuigogTvnAvKZIg8xc/1GROSmS4751an'
b'J1i165Pzjx89W63aqPq1t78er051t/30489C1IdvfePp8+t7b7/9ta+58+vbP33vXQmxcbxy'
b'3Phs3xUR4tA07TB0Q5QQJPRD6xtzTSZG27Y24M6lvph7w0iE9fhXtIPcWSLS4kQ9LYUm63s6'
b'3R2qecxvTedPCZvN5r333tNut9vtHr7ztU8/+8Wz66vz07M+hhCk74MOsWFHrNYLCydK2TBe'
b'UPRMlKPx19+VSqNC2cZMVTH6ACwynUmjl1b7eCWpxhRqETASt5Jk/W9s3dRLVWTrhTqTVmP+'
b'WxmjceYXxYWL7HX/+hf5xGuXQ22r79b6y0KjAHKcdNn7XTHfqrZpB1k1HupxIY9DzdvfaY70'
b'4lCZ7srznYa+vGOg3xQcRv/HV7ouvbtYYb6y8EANIxbLq67EGSTaf37x+j4bIXIzzGHaYku2'
b'lTXcKBt0psllDWgWABawJmZ7wF7zEs1Po5QA4DSGqjr1jpg8lsBlSYfU9VvTKppbMIPIO+99'
b'jMP4xSr2/yJWK3OXUJSMV7IPAItY4PNyq3q+qoRoMjJVG+gQ/K3HqrAFrhyg0/goVC130sE9'
b'YpF0Z+i27rUNeKH9+hVUqK6a8fmH9ndSQ8a892SNJWZIYhGCzNpZjzbRUrAHSuJf/WJpVTY3'
b'R10VVbZVqkpKM3CMae/qMagG8GBJ1U6HPRKEwEwK4pR1wdyQk+4TkwE3k4Gk303wus5mncus'
b'19PdM3en4oGLnKSGU6b0nIvi09oyJpszn8wlDNtkuD1Fb8npGaMhkwI46gdszXYp867jSq5W'
b'pRAiYmRALAKet8n1iHrr4o0PP/jsD/7wd87O/dNN8L4FERQh9qJq55GiFk60EZEUV59ZwQSC'
b'SpSBiMDs4BLOJQUoKJh906yGoWuaJnQ9k7u+3t558KDb9o4gGh6++eDO3Vvvf/zusBuunj13'
b'5J9ePiPXAlitVs8/ujpdrTf9c6fu+ZPHTz67feubZ+tmjYjtTnbb3nluvQ/UXXc9rU9INPR9'
b'6HryzjQgzBpCKMZg9YyNlnXkVCiNDFhVUBKA7SlBkAS5cSJHAjiCMPfmzSp/9uzZWeMePHiw'
b'3XYCevudr4dd/+zx513XhahRJWjvGM4ROXbNCkykgGlzMNJZaqHl3iYTFygZnIEoG+MxMxP7'
b'ScteVhbZWX2FsrCYeFyVXXKRc+0z3COf3t+8gS+k/66rvUn3v9xSf7GcVC+O8H7Laub1Gt9d'
b'nBFVBVinuQZLqTfIX3E5Qj+/KV+sMBDLvr74xPFJvwkF7uOq+s8vhaJMabbfEd3Ta9TEXze+'
b'ekyA/bDLix2xbxGyrfBLywzi1Mhj6po29oLJJQvB0uxqm6GqPbOzVgCUj7yZGSTDMMSgqmrm'
b'EA2gbirtVI1ctE0qex7BiYZKZRnLQ0QEZUtWYD0wK6k9Gltg5uWBGalgSoczTDyrfALOlrnc'
b'Ak0eL5pkv/FPIja4iRTqQGqzn0KKdZl1jXUchNkqqDs77drkJEqrOSqwZvbFpZ0aAJjd7C4R'
b'Odu+VaGI2Q8emeqSK+1kGrleR1klud/N+spykAz7dxbsNf9IbAog0WhBcpt2RWBDl8kNIMYQ'
b'whCCWb8QkYRBUvD7lBK7fLEeqP11VyjnOHVMqbQ8mieFlTCJejQpnJCSzcj8S+QAFgIpSJTI'
b'wvlEjQKJBz1zRnGSfaMl8JcDgYjFQnKkBN7sWFNk2CaqKDjAn5+sdrvr9z/42cOvfm0brqMo'
b'sQsSRaNCHTeqJDEYYmZmM/VWMhdTYvVpWIjYIj6JqfshwivvThofFE3Tbrebk5OTp9ddt90B'
b'nUjQId47vfj4g/c++/xT9t6v1m5Q6TtyMnSbv/vR/7fddKq6an0Ifd/xT37840ePHl1dXXVd'
b'Z1zOkZcQrq+vd5vtvbu3iVzX7USk4QbJcTwOw1CItsy4EDlKTsCUpUpmVgJsCZCoalQJEqPE'
b'IBJFQl4pBIhCQKppWk1VMOGcyZUbQqwaiy87YCFBoRo3m83v/cF3Ly+fdiJvvfXW+z//hH3z'
b'4nrbxwBumIkEIlFVKdK2G5iTe0Ny0WZ1cA6crMSkNAQAN413znEYJJsAwTREh8h6xrNGlmS0'
b'V5OrRGRLNVUQMSGngFOwAqo5fFiSDepzz9lOvKCxTsfEE1+Cau3FlyzTw+UQi6xLvcXWpSzB'
b'aeOXayt9TGwuX0Vmx6ZCqd+V+ouVmSRPGKizJaZzoFMN1HjeQmMd0w7tDazbv2XnfbwXxE2Q'
b'WfaohRVMczvXjNLyDxzyw+Jq+0zzbnHQUg6UFFv9wNuvWg61oj59+nUtDEg0kY+iJXDHON1z'
b'ep5s89M9siaeA0sp2TvOlvyRdVcz6P3FpapMVZNYc1iLFIF++t05tCpVzVqu5IzYBJEdQAn9'
b'NOzI+RhNswWkSGdQi5EjeftQLWevavsHVJJWDzmHVGKAlKyXs+YYysnId0xfZdOkTISU9TPn'
b'hbdwfjrrQjlfReaZeS7JOef9mXdD3/eG/kvQlbyFjOcMaWbzsmYabSooJdhy7BwrC4kiahSA'
b'SS3guhcJIBAcAyEMcGxNYiatXBJFaNp4m6k03cVuJOt4SFThqlQhuU1OBYm6Mp9MY0pFsVdT'
b'DuXuEDADUqM1lIwBcMaJAFRISZx1TkkFEpUVkIhIZI2ooL+lfhZVZEU8ZwuD/Q3FrsQYNYpG'
b'IU3RZscYiwa56ncNbciYt84i7pEh4qR9S5odKvHpBAAGCBEVfq6qEImVdtOMWjTHReHEm5F3'
b'+Tq10OiKUHISEalocGALaMNE0OickyiABhWmnFa74gwaFAqzfCeTYEEKBLBIsG5x0c07hWhO'
b'dMDOsXNE5BQsIpZ3zDPbyp2TNxHIfELta2Bmmz6wSVNkgTLHwyuGQiHMTJr9GxtH5DRpVivm'
b'k4aQBTA2ZVuqMrPmjBBmMi8R5FhUoWRWNcwcNAq7EIaWkw9uhKoqR2VRjSImZgOgmBaEslIO'
b'S5WXtiLGqERMwkRsg++JBYmilIiiQn0kbtfrTbhuLs6fXH52935/+6R9erkVdyJiigJGZIJv'
b'GhfjIBRJQMziSD1TYAiLCsNBxDTM1vQYI1Q9qcPgJZ55DwW79rrrfOuury5VlWnQ2D/68MqH'
b'K1X9oz/+4w/+z//be9e9uByG7t3u+fbq2XbTg+nW3TuuYd+6GOOHH/x8tVpBYxgG71zodqoa'
b'Yt+0LsbgnN922z6GhtZD3xORxgESmPwwDOSdmMcIwGRTzyBSRYzRk/fODaEbwuBApBpVBgm3'
b'7t753ve+R8rd0D/fbHe73ebFVeh3u8121237vu/7nfFYO2rIceTSwmEIUipnqKrzrCBVUY3e'
b'e2YMMWy7/vbd+7/1279z+XT32WefdYOY9X9QsXBOrEoQD1KNGhBCJAiRskMk731LRClpOxzU'
b'vAWiqjO2plGEAecADKFbjss5UQu9VBBGOtcoMNQ2ueSFxRMgVWOI+nP1R2d7dl66y/qh10D/'
b'R5DH/jM0/XMse8q81/tuOQkfRcLXKoc6tXj9yGjfpM7JXcP8NzscIJofSd+wvN5E/6YcLVwL'
b'24cG9xDEL4jqhh+jpfWy//rildnDRJRTsujYjFdUwO8XVSWwalJXD8PQ932IQp7LQSoRi9ay'
b'LZiZLfaaqlTEbftrCclfTLePM7rS0/xMijtY6zsW+1K9e7CDlh6VsksANMFcYoV4kEBZESGs'
b'iEy+As0jDaT4GKRAwkfKZk1AzDAlsmgEKSklhEHmRyhE5mfsLP5djnUo2SaVVSODQUJCwmr/'
b'mqRBwhHRfrO1E6wkxFbbmCYpNVU5JSAkSb+VZ26ymG5z+yM2k3iTI7LOi81UJZWUGzWcns8X'
b'5yh5NTFo1rvnkPY0u5XHf74iABS0UTAuMxcTr1BZMohYrlfkTEKpG0Uyz5GDxmGpTbPoYOwj'
b'KEzFk0bMDA9cAhEZG2gOKjqlLlWdCAOqaig2XbFzAEApec8TqZJSkioLUheRxnPXdadtE51j'
b'Rtd1M35VOMaModkPyx2WZfU8JkmlOlFeqNZ+PjFfP6pSrA+mlEsNRJQ1gVCwRJiBtpZ9lhOC'
b'PFCv1EorYjYZnkgAUkTJAc0ANc09E0gZ5Dx5eC+q3LQk4fzW/Xff/dl3v/17fddtggQTy0U9'
b'Q2JQcspsZ4lCAHsiAjllMLjYWoFIRGJ20w8SNUp3/bzxfhD2q/XQ7TSKIwFUYy+yu33vdkN4'
b'/Pz6L//bf+9DaPzq0w/fB+T62ZNV0262W3aNf/G8Wa02L67NeXqz2cR+8N4DdL250qTz1u12'
b'27atqtpj3nuQSlQiijKAxIINWJyrNL+UHL6JSER2u10/7GKMHioiQUSgD9/6ynd+/w9ZOSgC'
b'QwlOoFFi6GMc4jB03XbT7fq+3263fd/vctlut91m03dd6HbbzQuN0nVb0RhViF3XdU3jLy8v'
b'LaE7iZ60JyGEq6srsIX4caqBmC2AUgjB4v4Xp3AiSx859H1wrnErb67PqqSikSRIjCoq5Hzr'
b'PEeSoACWAvPXy/LQljnZuiaPsCqkyiTqXJNnpZjwz+uc7THz+vdOCWaMr35msbX71fIe6Jl/'
b'cfl6dcieF/A+lFnc4Pfblpip/c5xMxa7wNXzkv6wL+3rqve12sua7MNjVUfhmLc/Ltjs7kll'
b'Mp4DYGnubiJPHie/X3L59db9L5dDA142znrb2yfUm8iTs2/d/K3ZXZ37yXFeysdqO0JLObIW'
b'VJUVHk6jDLtut70OkXQF71tl02JmZTMKyMmwUMZ8qAAUQgx2pAoFiShIiYkzxyg2P7OhmDdb'
b'RvufAjSQD/4wYg7DX8q0x4tYAECEydziPJOGpHgQlRAHVRYiZfa2G0IjuBh2k2GG6agSVEmU'
b'kRIFRAgzQUBMRFAV81Yg1TTbNOoLMNqqpqZTCYMuqipETJT0xgTNv0EKu4IMXiWdlZZTJiSg'
b'RlAVhcJaYgybSKWSXbOd0mwfyV5qE0BPRCUjleY4LVGLep5UEU2Lm/XxEEkIUdWEEa2+kqLr'
b'TC2M1XSNMVg4c58DF9Yn5wWS5sZQsWdJ4kT+QURDtEUtqQbvAI75TCLaPIj9TjFcUqVEoNFH'
b'ucTkUS0psMueVZGF5t5NLdwKkiYioZSdoKYowyvIzJ+IqAISpmQ3BzULfIhCkoWipiZwTdPY'
b'4UDXdXlCRlZWWuXKGrS4+GV2FMUCKg1uCr45FeSy0cg+PyRT0i+EnGVgXLZaiRCoRDtJRB5p'
b'mugz8Q1Nki0roWQUQcj1g5iIOaoyJTciYYnQCBPJPMFsxEntuI/UMYZBHfz56e3nTx4/ffL5'
b'g3sPPvj8msChl9b5p08/22w2F3ffaNqWQaQM9USBaSW6hQoo2IAQHLEHRKDWfseNEnW77frW'
b'+XXf+dPzplmpYNgN3unKE8G/cf/Bez97X3jd9R2xZ+94SGGIdt0g0CgDKRriGGPoh26zCRLj'
b'EM5vXSAWwXkIEqI2UXm32wAYhuH05IREY4hEFIfgnINGE4Ji4qKiyiCKYv7BbKl6GaSCMAh5'
b'1+22q/Wpb1fb650oaeOCnbEpw7XO+aY9XZ9f3M4TWdYjk4pIHILGqENPqs8vH//X//KfX7y4'
b'att20+3I8cX5eb/bXpyd80OKUVvvEAMTrZpWHe0G9a5RVVG+3g7es0SRdLLKSZWgohqZXIgx'
b'DGhAjlgTmqE+iBIPwHYQaDx1vGp965dMgEa63Ps9A82Lb6VVWQTBir0mmVQnYZhqTcDsu3W1'
b'sxOAm+CMI925ycs3ASW0tH/v45UbVn7oiwtzMXlyQRx67XKTsTkOWZDIYLRpfg0ZYPwQza/8'
b'5iTgSyo3zRanVSkXv8gkHKGx2dLe1wuMG2QVrPOllc/o7VADki+eKolqlNgPu35Qha7UORed'
b'qfAT4mGzsyDZZ1xqJkCqxfLYOhJjLI62h5jY7KJMQ6EDKBEVbZVNkMRybRPWysyr1crgUYaq'
b'EbCsn1Iih4gEVU0J5ys5MA+UACXoajJzSurRZIqihnIsXCex3TMAbZBXKvYpZTzGZ5K6w2LS'
b'EEgdWKEObNIHA2KWJiM6UqJ0RpGhm9UWVUGkRM6McVWSz6XONNBl1HKzckqr1E3OFkeAN4gQ'
b'VKIKhKIZe1RYPL95kKvX+2NZYgXIlBhNtW6bchDD+vl6P40xaoyGfXWaYIscWxI5EakBNyof'
b'Waopk6rdOXeClni3kZlWZyo6LfZijNE7LqNd30q/q8y1OsYYnRQiYhA7Z59kjJsLEZnh+zAM'
b'TdP0IbTeA/DeD3EoI0n5/EczVMF4tDWKFmXYUwstHOSUa9r85iEpmqMCaRZnvozYBFnZ/5k5'
b'apLYpvqRwvfCtKZykFtmyFJxeTs8UYISR4oC0aTyZgKRumTRyyQkjVMigmsdue1uc+fBm8+e'
b'ff7mW185PfG6FYdGo0D7x48+6TW+8/VvxQFEkYgIjpWjONHgLF4ouCFmdgMYqsQqBO8awgDZ'
b'EsVdHE5Bq/WJRjjpZNhA41tffevR46dReeXP+jCAtI+RFN61IWoEdmFYrVau8TFGUg6h6/ve'
b'e28u4SEMzGYnpsZ+iXW325FvIEIyLpNx5BVkumCk1aXMnpxpLFSEQeSYGUSknl0M65OzEFXB'
b'u37X9argxnlWTjwNYvyHiKIYT/NqSngQe8cOvmlJ47s//cknn3xCqpZPjRu/ZUekP/jBD954'
b'443Ly8uLW7eePHkEGW7fvuC2/b0/+pN79x923fD8+TOnuLq63A19Pwy7Xd913dCFEHoJ/SAR'
b'UbowBJUoSgwitozwCoQoCLoVcuQ90baPIYjXJTRWL8u99Vcvy9EhIA9r2hiMmdQ2i0RkAkCM'
b'MR8BAxUfXFztVZNsoerslWNNnXanNJ/2LlZ3q9/W1aNZdadfr+MX7T1ZrOIJFiYvjZi9lfnM'
b'+L6BjH0eUXHYse6xDV+u1nxfFz4BHMdlgPrPfQS2+G4ZOxrp45ehj78p9p2WY/P7z63kXpAs'
b'4ZPJ2dh49QuQ1oweqp11fyVqTR5UNNE1UMjQZ5Jva6mYbqyOHrXw/B6NOefaVeM8hU0vWxXI'
b'ycmJ06LCsDZYKHqN0yEy9WHWAMXC/QwPOkyX8wHhpNzlpPVMEEQ1ycTmYgd1hZtN58aioKTe'
b'QMGOC0w0UxjmGEJv22JMRZ1Tl+LMUc3YZzWXWBNAIhZHTkSiBFEVMp0URAUT9pXHWRPfM7cN'
b'u5IbPM5F7pKYPnjGNKx9jnxFwcYJ68FcPKoy3dlIgQCSURnnwyBK7RGNGgb1TsmRQskkGTtI'
b'KPb5Ymp1IEWeqT/qkga3aoSyJr/PdHoBQM2LWBnKWin+UTsnZNOyNJ6SDVM0LRkTD0KMWpnE'
b'RJUEicCqJKTk2NxoABJRtt/5iub8wcVIhogsE/aYmJdIuTin1ANetldK9i2TkZ84l0/uWpDJ'
b'6hDvgJiBnAfAJnLEA/ZvjLFt21V7MgwDM/chFGOeMiBpoFQARBmYmTBGzFTREIJzDTNLbZVn'
b'fow5aumIzqu8xdhbzrPGl2cKWyDKBxqcYv7mqZ+GKMjXY4xU80SgkgGkugLvvRITOU3edKQu'
b'5QDKqSOcoX/SqHEHco68CJQa591Wm5+9/+Fb73zz+sPPVu1F6Ie7ty8++5y77ZVKz2b5AzDQ'
b'mwswsenVU3YD9qwK0uQGTM47bdQNsXeNj8SOV5CBWP1pu26dKj15/uL2nYenJ7fDk+fX3a5d'
b'rWKHXb9rvbt1/+533vmjs5PTj3/24fOnzzw3q/Vp14cQgm+bqKKaxGYiMuFWYqKiKjKsaBQm'
b'toUDJvOtMDJP1A9ROxhRMf8dVSaiYRCw86v1IJG9e/aLq+e7HXsnQ/KHJqIq8gG85xKAgUHM'
b'7JzzDNl1zx5/9uTy2cnZWespygCgj+HF5kolXF0+/dHf/xDAj/7+7za7vm3bGBG38fT09A//'
b'6F8NQ3TEKhJCH5BssFRVI6IMoR+CRAnDru+6obezkK7ruqEPIXSb636zwXZz1noMO2w3Ybfz'
b'5HxZP/NlVsu+S/rm/edHFj/qE8aYAIWIF+WNm2OLstoXq1ps2+Tdpes3efelT871dLPXMzPV'
b'fBx8k+/q3sX048Zt+3LLPkPH2H2qbxEqBpcf++LCyZcq3vyLL1Ph9pAUnRfydCndIKHmYplT'
b'8tIDNaCZNaz+URDSfuX7dd6QclQVECZdebdeeY8YhtAjOAxN0zTNiogIDEq7rpKpw9MeTKCU'
b'mcWWKQEUVRUKNsQqdkiOSfYWjDzNhJvSHk/ZAJDKW5wMA1BplzNWnrh2mIJPIQSWCBp/G4Bz'
b'jROhEJQUMYqEAGGIs+2KiNhCVIhqCuctDBKkHLGs+YDfFOwSoZEgnM8oWC1ooKJkBYIQOdVI'
b'FnTYYliXCTVYX2thkhyiyb1UyXpgo8zFfCu1MLVTCS69ka5YLwBomqY83XUvCLDTBJUcrZ0Q'
b'g0RvSitVsIMqA14kiriQFYv5+EJ5qvsuNDmhzCnDrJ+fqfPLdc6JYycV1jvFdIGMxyBMJEQp'
b'KGTSxxlCKuo5A0nJW08X+HXZBBIAACAASURBVIBIEeRGSFp9bkGCrcGrNTxpRmNATihbH3HQ'
b'ONeYfWJWkpWRJGlNs32UiYhJkg299z4l9YuxoJFJPUSqmk5CtJJMmM2mvMIwNcIphSuYQyhA'
b'cpRyeS+TcvUyczkMtIkQgrAztxjzYzbPlnHSCda/SUXKi0GBVNX7lsAwdG55gaWcFQiRJ8em'
b'DIAwSR92m1V7oQA7L5CzOw8vn33+YBhuX5w+f7Jpm1X0J7du3Xn85Nnu+sX69A6IHdFgJOSY'
b'4SyWDijh3SCRMv1516w8tWj70LWnt5U9ht47Akvr3a079z55/Kg9u3Pn4Vf+1//lz/7Tf/q/'
b'2nj61a9+9Qd/+zcXdx8o02/97rf//M//HCL/8dF/fPb0xcnFre9899uPHj36/vf/2vHKt23f'
b'90RkUW2YPTMbpXvvjdhUlRRRxLmUeY2UtEiwCmUl0SDR5tZi64iIRhGoEEWRk5MTq2q73Tat'
b'33a941VUDSHEdDRsYQbsBDgWHyfjgSTD80efP/nFpysa7ty9fXHS3rp1LlDnnLIj0mHXQTTK'
b'MAxDFAAcBJ8/fvoXf/EX3/n9f+Xcqo8xGV0TK4G8I8A1RLqiU1MMqZIoWfZjB41KQgrVSFEQ'
b'wsq7NelwffmT//k/P3z3vWOZgAGY0euRnXPO5szTimvL+FqmH/1dagG3/u7L9mkT5sZj9/0X'
b'awnhUL8WO4KZcLPUkLGeA8cm+wJSvm26w3rTBpBMaKeFJvfn9dfayn3teNItVcOy3JzD5bie'
b'ezRgQOKho11sDdfY3EtI9mb5pg2SfwS4/y/R+n9aDg74bC7q4216yfrKWtX69T1AT1lBaKkW'
b'M2igGf1Y5HsdH05ecUurw2w2FmKIjU9UTVPVaOdzIiIBGlvW1omGQbs+6MBt66Vn5yymByWd'
b'oC0Vc2CdDEhuutZsyg4H8q8EMxJXzKiOqtU06kRzXbbl65KmBrD1NbkuokoIUcixKARJuZha'
b'J8IaOAaNUUKIqnCOvFfnQGTPG6SGwuK/p7h1+YqORjIgCIlY1kw29bKZqqoF0gAxVGMC6aSQ'
b'Ee9bP2vlSMlyQKQQUkTrOyuKqMOiQmBFVC3/CoHBkiP0mbFQDkM0atONAMykxpEFhcmOw2mf'
b'EomQoRfHrF4AAimTQoqhTmWKRqXZKuM8YuGMKyKJZyOgtxNnaFQJ0AhRjSl9DzGNeYskK+ZF'
b'SlQlYLQ4ohyfJzudk0VpL1jW4n9bpCUQC6Vdu1ArlWA+1SLNCyUS5slYVOM+50zLOWLcMvaC'
b'y9X/2pI3IQqiIKrj4O1vBCKCrHfXnK1WVdu2jTE+e/r43r17kOicE41EpGaMx6RSRMFRUrIj'
b'FztdsexRfRjSYVflpR1jBJm7eWkPl+W2YOvFdBAPmOhi1KimKrb5jYVmTCRM5leFYqcqD9lD'
b'/6wMEJl1ChGRM4dzgmcElsgmOhMpK3Gylnn2+ZMnjx49fPDw3v03t0MEMfFp5PPPPn30W994'
b'e3f1WYyda1e3bj349NNPt5ur9vS2EBjKFMFEzjlt7HNMRM6RdyTKqkSNI101xFG5dTF65Qbk'
b'mNSBfEvrs5Nnm07bW369vo6ijr/+rW987Wvv/PS9d+/ce+MrX3vrnW998+NPP3r2/Prs5DTC'
b'8Xp9/623fvf3/+DuL37x43d/6hntejXEQM47GMGzc40EsYCwFuUsxsSfRWI2ryLNwZupil6j'
b'qhpliGaKldzf7WzBHIv73fajD96//+bDZr0OUQTmjG7wVpJ8leytYKoiIiKQYwd2MoTPnnza'
b'b57HLZ4/+YVvG+fc+vR8tVqdn5+3nldtA6BpV8ok6j75r391fX19eXl5684DTsFGeZCBHLMx'
b'UQEpmImZRQcCK2gYYhBhWEYUAeDZi+fN0NO6Obt1j5uzPhx2Ai7jMvuz5mWJQivLKsqGdJQP'
b'653zFViXurbjn8bSsi/74uz37PWbo/+X3ip7+JE2H319oiZfvHXo9cV3Z2Wxktm3jg/jKxWq'
b'rPmP1DDCi4XN7xW+tfj7N+VLL4ZBF8WzI6xg9gBeRqg3WfialaA0NSDc+/Qo/xtioOxVuffR'
b'I99c7qZAh9CHYUdxaKEqXYzRYXAYHIUxuoJq1GSSzgYJ90IYsxmwmzeqqEAZTpmKTl2ZyIIj'
b'iBZde7oLQo6hkfHXJBrPnNdRCUVkoD3/O52CEtm9zIjBHLWzABE4R40D+5QQVkOC2KZrVBOS'
b'tAgAydAnCjl2DBUxs1MAEHGGQDU55xYqmkWCBonZ5e+p//O/VXwYNz9slYrbUOI5ZuJf+Uel'
b'LT+moQJSGM30L/L+BKglkzIZJYqIM7jP5kWgyZDVOYdo0x7hXIrrr8hjnqLmQyfNKL2oJDTB'
b'xFBhEqUeGYKULTXXHGtnAGR5uJ5Z63KKaD4Zh5GEyp+Ft09k7rJZjOKqVnM0k6snrKC2Vhrn'
b'zjWmM5IqyQAZ/iVK/oGlw7kt+6xDRNhxoZAiwIhI0zQXFxfOOYXudjvPiNF0saPxj6qClIiG'
b'YXDOEVxpamkYKqZXxiT3xf6iDPgmAgARpVOqw0UtEqekibBYnzD5yyx/pUDSlOWJFIKo+7q5'
b'UQYwiEs58C4zE0GgYDglImGnQgQlB6YIKNQBDuTZ7Tbbn737k67b3X/4VSHX9Xrr1oNnjz94'
b'+vjJW2/ef//DT2PvT07OTlfr588uL974Khjs4IkDRwFTdNl1x8LSs3OkyszeEZwOod/oasWe'
b'O1FC9BBI3zRufXL25Ol1e35/gL7zzd9uTtdvvvXwxebqH/7hH37nO9/phviNb31r2+2ePHve'
b'cBtEfNv4trm6ftEPg2s8VLow2JLUGEvQUtW4atoiOMUYLUBB8QPRiqpGZphdL0rArxAsBqic'
b'XZy3rXdQlfDDv/3ru5+/8Yd/8r12fTuY0kONMTEpzCTM1mFIWiowm2XpCTUtsV+t1qRDkC52'
b'EgTPN52qMhQkDTvHBGLyjti/uH4ewiAaVLXr+rZphn6AI4mx70PoBw3KoKZp27YBRyISYhVy'
b'RMQkMYoE51yw1UccmboYr7shKHwZi7LMzBRQk5A7VfvN0T+JaIiqqhZ2N4eURlEyFX5khpJl'
b'SdNSWM/6d801ULEnVSUabSjHuTyAqme8I2iYfGUqoE/0T0ehf7q+8NGiI5+/kf9Vqi/Qssa9'
b'Znypa+lAsdbBjxF76g01l0lIuLov+2js5gh79uQisBuvKI0kRBMssv9KfXE2mzV0+GLZAI4b'
b'rhhrcFju16+H9f+81AigBtbl4hxo7gvYMHInooOmQRM1QYVRZhwmqy9HpDL7ugFJZDVeaWTC'
b'zDyhcwN2h3pt3aTMrRP2UiFo6Lt+cxV31y5s1zIEGfwQvHaQrSagQAA8EeWNuibHMoAOqmwR'
b'kZXVwlGyBaWUDHrzdQQVEo3IOmzLokM+quRRTUyTiHRp3RHBAjyqua9W+nUk2DjR3xIAJlEh'
b'0caxQRIGe2ILzUlq6WdISUhZSYroMp4MiGEWi9YDptpxFgIy76fMMPOPWIFRhUoEUrtRuBYq'
b'LJorZM52+qpEI5dIFJXMnTPZQAuotVfsZaKE0pLtDpHNjyQxIMGzCA1whgqVCI5ExFIpOw8A'
b'zOSJfdbEGTonjaRQC5+Yx7mA3ULbGqWsBJuedPQkQUIPWFxy0kTtaVcmFRurHAZQUtadvO4M'
b'v5aFJul8zILlmyEQmBggiDKRJVMm2OGO5gGpyFjUEUedtX+mil5Y9cUMadU2RGLuuciLbuQw'
b'UofddMzmXa9iuQJCKMFbk1drUAKcc1GEXTME0ZwFrFDIrVu3APS76L0njaoaY4qPZMdKImJ2'
b'BGnfpKhIysq6X7X6385JxOJamSAh4px5BosjVw5eVJXYjsHT+UCBlSLiKOXnKnGBASZylqW7'
b'YQclZh/MoqxWf1ScMm2IVMcELUslIYrWo9+9ODu7kBgJGiWyUiIk4ggRSUdwBNy7+2Douk8/'
b'fv+Tj34uIvcfvs28UqVbF3c/+eTz298+u7i13vbONf7s7OL5ixebzaZdnURAWYMG5x2BKTKD'
b'YxAwKROxOnIiII0I23XDXR/Urbrd4DjeOV9fP31xcvv2s+dXt+487LQ5Ozn5nd/5dnPSPrl8'
b'9pf/5S/OL2577y+vN8+fXYU+XD559vzxU4iQotvuQj+EoYtDD5E4qIToPEeJMQa2IRBxzvUx'
b'ksO2366bVoQKTZIbA7Ayc5L/RQt2B0ydb1Z/FmY4np2swtBp7FYNvf/ejzebF3/+v/27dXuq'
b'6oNoCKFpGjfOrGiUIDGE0McgIkHFr8++8vbXt5sXv/joybqlk/bUOdd1O8PLCo0ydP1gSRTi'
b'JsLx2dlZc9qen58zcHJy0u12vmEhERHn2K/XMkgcAszuyLIwxSjRQiJYtAMK/eDbhh1AJOyG'
b'EPshBsGyD0ANvGYX6yu1yqGknSsMrlD8PjbVJV3j/hfr64sttHoqweCguDL78xCs/xUUyif+'
b'r/TKkdGYAjhgip730dt+Da9XyoDPGrM/EYvvLrZnsV+LT37xsigx7lP+r31J4zC9WEjukKh2'
b'ZHEtXj80s/WLdp2rU8RCw3V7KJn7jkXE4sG/wqwlJWvSdBSxJ4pEjQFh0KHXbktD30BWBJWe'
b'I7EOSuQshA0RAM/QKLV/YekYshIIYCcBYDKVcAQROUBVExyPANCY0hQA4JNKm6J2LGKaRhJE'
b'M72x8wGCgfKS+kdT6E0429VFDaank4jRQKj8CxWoCAmpqoNTigRiYdUeJj6QVv+NxjtUnTLY'
b't8DkzDI1Tw8ABRdhJhvnZOEHYKkFIZGUHy3TAyaK52SzQSmCfgapYmbrSFSc80LWELbEQTKE'
b'm2zhc3hlqAIqUaCsGqEkBMPZigL6zQ3AOQesmgZQymY1EAmcN8REQskYIO+GyftBGE4o5XYY'
b'CTubNqmQ5S5QjSEIkTZEygp1UQYoRxkox8bJKFazhjFBf2tqIUhNuXstq0DaiMsJG+3pztID'
b'9fqKpi8f1UkKjTGaSrIQ0n6xFm42m7CjdUt938c10d7X64aVf8sP7z2KsR+VCdMYoxDYjYyi'
b'LD0Rs+MeVWNmj143zDlXDlmK/0OxAMnktLDzzlpYftccCclX3OZ3/Gj97ozLSTKJdgDU4mdV'
b'GEnNfp2C5jBZI2800SsZCJbFI565H7aPH30isTtZn1msZBECnESKHNQxM5hIQuhV4PnW7Xue'
b'8fHHH3768Ydgvn3vawKs3LpH8/7777/9ja9ff/qcyN+/f/8XT5/udpvVeq0As28aDSEkhuZc'
b'DCJAw1BmR4AoQzX2Z+dnz7aRuFk1nkl3m6uz85PtbmjWZ5tdL45OfbPbbM9Om48++TjGeLJa'
b'n52cfPDBB48/+ezvf/DD09V6vWr77eak4ae/+PSv/8fV6enaqQhiGAKJMtsACEiI1TkXZfBN'
b'skAJKk5t3cM5N7p8HNBg2pwWeiMiz86zc4xut20Zd85Prp49/u//7S//9//j3xG3oqq67rru'
b'dH3iHDPZGR2GEPq+d9GZniGG/uTO7dPzs17UBblz7+6f/umfRpGu60WixNj3uzB0ZVGs1+vb'
b'9+7z6pZzDpAQh6bxREpQsKlp4OAc2XGPmgtKwwwuoXsjSIiY2RM5ZQGTAEFFFb4wTt2z9S98'
b'YXGAbNODyezMzvkyoDPKlv1IdgeKVsj++F5eLb+FBtcPzH4vPlxK3NMXumVNGx1y79EbwN9p'
b'SeZoi02d4LCFZGFGxMv2l2WE9kHt0RYej3o06oHsE8eFrunLo2x9vOgBiW76+nLfb1JSI1Mc'
b'wEn0NwC0kF3h17SYX8rELXICxxc5QP7zRkR+RJDIV0yhPkbLQRUU3F63SH+ZG8Oez3EqiUjN'
b'xhtA7VFaCw+TTld9SSd+NMbRIwBRYj+E3Vb6nmPfEBwpOwZAEHKucSkQiarGqBFCEFXh0WY9'
b'k5OasxaIVEWQ07tmkX2i71AdfdIoR2BksviSSFm7zOLeHM2yu1kBcZoMc8gRBGAmGxchcck5'
b'2FJxpboFiDE6Qv6CGKhF3guYoGwJt0z/D7aaCVHHf1PIISJHUKKcQoAEdhRsUYzARKYqT4mc'
b'7fQAZoyR7x6gk2xHlKBVuWVa9EwVhqenHtVlWgGFWjsNzCIrVqMqEUlyuLDBFCURIjUPv5is'
b'7b1ncrymFeyMPp1giMUcIdVh6G3jN8v44ryrUUEqKmAQ6Xi4oYBKsiRRkAgkqkRSFYkh9Am9'
b'RAIoxoAMHynHlRKRGDOajRESNZpz8riNJrjjnJr/DNF49IG0VWheP/voVkRK4FfzGZhKvMsq'
b'LSKKMW63205U1n4YBpGGiUTEEzs7wlAt3N7g8v4OiIJ3CUBKjkZEwJhyoZhR2RUbdE6q3RH6'
b'axUcic1OAWBNfED2vzg1aso/pZy9j8qTpfPtQqv7VJ0NUYqrRjqfURJEiFiyNleoNBFS8lgB'
b'WQTckZcwTCbNVmwxDqu1G8L140fb09PzW2e32nbdRel7omYFakg1hiiiTEpEuz42zcmtuw/7'
b'IJ99/P7nH78/DMOD+w/FrU/Pbj179vGt58/v3jl58vjZydnZqj3ZXj2/e+s2wCDXsIgGZVUe'
b'7crYO42RLBt37D2JhIFce3p+Ea+3OnREcrK+eHS5ZSLv3SDD1aNHP/z+337zW984P7/FzG8+'
b'fHDS+DW77ZOnK6GrZ5d9w6et88Cu3z36+JloCN2WmXUYmrYFREkJAkiMAzcuaw7yGSBJlHw4'
b'lvkGgSwPu8FlMUabBQDjBCoSYmhXZubC2xdXEof7t289vnz+2Ufvv/vjv/uT7/2bbTfEqJ1G'
b'Z5Y7FiGOiZjUs4JEiRmO/UnjHj588OHPVyzDw4cPHz58OIRkWeoYpt3KvNqM1fyj55vtdnt+'
b'torR1ApC+SSXiNixyye9nl1MkZEpMRm24xgwjTp6QEUgmn0A6gU/2+8X0X/hESZeLyeTz5Y/'
b'RdhN2pD0CexXO780XU6LT+5j0EMPZ9g3v7svMEx6erDOfS3msarKdV0StPYxyqtIEWbEa/Q8'
b'ga2qkSuV2iFUPe3Fy0tdyc1n7UgxQbEmvPLjFaWpl5f5J5b02f/Syt56n5DxSLeVEosqDzwc'
b'UBNYedUZ3CeDsWaLr6NalLKHlm1dVYVUUP85+5CqmvtmCKHb7fpdpxLY8BnEgsERUcOu8Q27'
b'rASR+P9z92Y9kiRJmtgnImrmR0RmRmZld1f1Ud293bOcJWaxmAGBGWD5yhcC5A9d8AcQ5AOf'
b'5oFccB6Gu4Ppnu2z7iMrj4hwdzNTEeGDqKqpe0TV9g6fuFaFgKe7HWp6iMrxySckEegvPupV'
b'H42dO6oL1HJcbig++iLiC+q/Uv4SkVfWiPDwhRqOoikbOeBUSvJ5A/06QOQIDRfBlxNEFwA5'
b'OJuVbIRmwLl50dcZlbyGmL3rJQ/l1s2p/aVIBbbol8h3rRkLbk7U/JfxvRScpWNF5TusjGz5'
b'H4CFVZUeGN6xTCM13M5krJcc8XU/apt9k3uBgamKbrzkCozqSXDDeaZwh2dXc2RXNYNaqI0E'
b'SEqSxs1mAThqRc/zPKRUNU/LuRgAFjGfekRsJqJAREY9T0atwexGbpmixpIQU6RYByjM3Uht'
b'IQ9DLgXehCqXTglo1Xf3zvd8Mclb0H6FO9eWmJk+yAooV7l1HRWkKY97fx7ubkHP2ARIv/R6'
b'XaK/W/ucc16hNeTVUw5namkh0fI+zwFAcC9q3cIDPmQVK9VpQqWFzBzJ1n5+9E3qZB36SRUn'
b'hAbJTfmpVsrDO7SbV4Pngc3j3vJTL9oANaq0B2VCddca3GHsDsEwyP5qp0s+HW7n0/1+ux83'
b'Vyw7QzYDOXEAvkKqkMyLZfJnN+8NQp9+8tGrLz4Rou+9eH8Y09X1008/++JnP/3JkAgiT55e'
b'3d7e2jyJyLQEII2IICPnk1rJRE9GCxOzY5nzRkTdxnFclmU/Dsfp8Pzl81evvnn2/Idfv7nP'
b'073wwGyvv/z6dDpM02mQ9PrVV998/eXdu/tPT9PVmGyB50nBaSDSbPNxmqar3e5wOGzGgQnL'
b'ollnIieinLNIFA4rxEpnaKlVG6TW/75O+BpThZtZxFFVddxsmNndDofD3bu340b2u82i8+2b'
b'1/N0iMDDSJIIEsS7MVGEzMglWYCLnRT2wx/9hPA39+/e3by4+fiLV5GsbJZNF6jCnZklpZSG'
b'lMSgc9Ynm72ZiYgtMzPKPlIaH8veYzex7OpKlYuJwNmUUWLOhUsKHkUM02WPfLv22c/danCH'
b'8i8X238EJs6XT3UVAOzs7tZ5mvvzHq464FLQPHqcPewRnea7Tv6OuzV1/UJIPUz5J7ps/PnR'
b'5Us9eJtVhpwPREQkznl/IuTXHlrupSD3njih3McsaPj628aFl2QO/VWtzd3bPSbrvy088u3H'
b'o9Ps2zrt8ntao+pV9/nneOurchM319WGrCFUIjqPhPzXFw24zDz5tvXS9DPvttv4BX/6wH3X'
b'T5cmX8gAOjujjldpSeX60zkrRzrmt825Vpo0dGKUkrFtna4qTuikOWfNeVmWOS9LNjeVUHSD'
b'YZpTgg5gyuSa1W3OZoA7Lsgbac02C6+8euWxCZgMyNy8Jb/CEYogyAhUPEihj0ZTmdyKbt1k'
b'6YoH8CZguSYTl/8YWBOLK4Cn/fXqXIyyYKjlSorX5sH5DG78PTDtvic3pwJ96Y/8IFbaRwIJ'
b'K2LIAadaOeFiFyCi4KLsfNaRWpes1gCuQgmAQ5dHzT8i6g0Ar4ZKm4khctVhrZ6ZKRTZTUBK'
b'dpwXvj9mM4VuNuM8z+MgRFRg6JZbBKCBxYlIeCiKfs1wbVmnVHKL1Z3gClNh5EXBVCJPhFBx'
b'LS9hLkb1i1KmCOH1LHpMZwNo6MaAt7QMM4qYc93Eg7hFAGgpa5z7tsVoEVHUnyoDAVc3VYU9'
b'ssy9U/HdnaKQUt3Hw/1/rkx7u6R3PUQ4rM8dqt59jjdxQDj4Dou+YWZCzCCYKZRrhzBzimUZ'
b'WQSxgh5kK3FBaq22QVnMXGI1FBsPrcVTiJxKhvC3Srxm9vRTusMdwcmYmdxzzikV9F+BbgU/'
b'PYm7mRvIgjk+xh21fnORyF2sQ9VTGp/fvDgdD3dv3+mS75d3h8Nh/+Q9yECyAYmHJco1f4d8'
b'mVUYu+vnL39gr7767MvPP2Uenj9/vt0/vT/cvnv9zcuXL798c3j69Mnb16+n42m8fsqAmYuI'
b'WSbmHEX2iBhCGJjJbTHPPKR5ybLh0/HAnm+ud9M0c9q+vj0gJTvlJ/stk1BinZfT4TAMw5df'
b'fkmODacD3ooIPBNcl+nN3XFZdL/fj8MwzfM0TU/GcZrnnHM2i+IGTpjzcpymF0+exkRtZGXk'
b'hRIVqyKmABWcv5VIV7UYvGitzNvtPubD8Xi8v783st1+f7W7+uLzj//w29/87Be/PE7zzbNn'
b'OWczCCjqgklo88VJIsDgqirjT3/xFwwnouM0RYQtOeALo0S01Gkh08UkyXsvfwBOS/btyGAm'
b'chCIUkQJynwmYub5VKnJCCICZgeWJQ8sgxPcGQZEIps5U3q48bf5+uja9hpE43pcXNtE7dqy'
b'9fv/jKv1QoG+WDkXS6j91PSS/nEXt+3/9fChj532SHvOTn6k8d+dJOqPXuvfck7/uO/osvV8'
b'WhUCAJ3Oau2U8977U1Ja/yQz6WFvPzAIH0ZLLi/v/z4855H2PPboP/0I2frw2/5f/+yb///u'
b'CJ9TfHb3iwhA+/zwLx6smu9e4A9P6L1i9YRLLh2UiR06Tfm+BR6runO5UtrlD+3Mh5LEq6ET'
b'n9VsWvR+Punp5FCO9GJnIIsI80wwsloF1rkVJOofEV7jpgz1rkeifPboHjZAFED2+F7hER+g'
b'AvkoGknXbybgiiVgsyV2seixlibr1Vd08Zcr5X+XPHp5TvcXzGeAiqZ0lsafd3JZzrUda1yY'
b'4FnBxF2uQmiTTbNp40VEYATXxNnwkRORV8KW7tcabQYBlRSohFPcnayptg6ANLA3K2qIgYAl'
b'BZMflUJeAXEAz1MmOkUAajuMm81GGES0LEvOs+lyMaxF/+cJnXLMMsTm2bYtdzfVGIVlWdzd'
b'MxtbbO2IxL6agqyV215EAFbVoOKwWvG0lXmO89tTiqt7HW5i5mYAqGoEjdslHu/MEXaoXP5O'
b'7r4s+YKT/rG13NGhhjfKHLIaY/21FxpCfEgizGsNuzhTm/vHLNJoWm/bA7W+Vw/aXI3OatkI'
b'XbzI/FzsUw3oNW2kSkvr9f62NL359c9zAB7KSSJyZ/dLK8qZwu5/6Cmk87zkaBYQGdzldwBG'
b'NPC4KAFpM+5xRfN0nI4H1fzm9efDZrfbPhnGHViUB9PwUgf9KJubLr67vnlB+OKzzz/99ONl'
b'mT744INnT5/f3735wfvfu95vnlxvx8SH+9tx/0RELC/MrErBnGUCZk7ESgPBnSYi52FzOi1b'
b'1cRu0zSk/atv7rZPb+6OOozjMAybzWaeFl/yIGx5mfNytdv5nPMyjc6wvCwnALeHuydX18Nm'
b'XOZ8f38/z3nYbqasORc6TnMihfAw5yn8SORgUDYN+FmQ+Da6iG4Sdly61f9iZuQMIgOP2w1Y'
b'SHA8Hp0Qa3CajjLg44/+8Mtf/vLp9ZVadveByTR7OIUDB8QMkIPm7IkSyG6Piwi5+2azFyIy'
b'H8iEicmZYU7qAGyXKJtlTuY0DFBd4IV0wZ3DgwOPVNtiqAQgUM0W1QQ4ybxkMHZb4hqVatr7'
b't0YALrZP744QYG3nKMKCBAiE65kUqAub22y+WAkPG/Bthz8wS1bJXo+LsOajt2nv1W0D8AfI'
b'nPqAb2ntt353JoAefalHVVp373l7qts1lACg+f6/7bh8TqVF+5bG+DkbUjsudKOLa1sb2oX2'
b'WAbCo8Lu0V8fKmcXnxu20r3ADOoRSlK85p8aB6hCsyBuH7xp8JWsLEC1ef81ZQWc+f6pet3O'
b'xyVW7uUm1Bvkj06SRyfPhSTpv+w27E5vKHpYy2Jsy8rbN5JoGMXyIHX5m1vbqs+P1QC2R9rs'
b'iCiBF8QOADWbNZ/yWtIy8QAAIABJREFUfMp5LphRhzGgAJMpuTIMRT+kWEo4n7dWde7IZG09'
b'5h0H/8O+upBd7gX80WoHasW8Fy5Gc8AywAxyj+701Y11oaYE0OjsL3twdRcTxb1yEnWe/9hu'
b'SsFa7xtPfW4oAGmxNHcEJMmtpNQ2XqMayIs2xf0iY8Hdrc9ZKp0CJ7Dwmc1fuy4VFOtZkdfW'
b'mdRp2NFbzJc+r1RPLjOMGNVhrnC1cPlSdhNwqAMOZNNF82mZ709HtcVddclqC4O422LKsULG'
b'3Si8v6mZr6qL1XpYtSRz0cL7m3hFvnUzh0XEgZwzwGamhVzS22jOmps7v/LeFH+5qroV9deL'
b'0egF69/NBymIGg9DBoA6AVA/W9oXvdrMXQ8boEVg6gnrLGqFh4FQwvrqHHGahspS2S3VlJnb'
b'cu4fF385MrRD1QsEX5xjhbOr5026WHpN3W/d3p6CB0dgEs+Xs0Xl8TIh/WHm3pmfi6qBR8JC'
b'CUTVPKmme3CIcRi2ZxaOe4kYRlPKRuggZ820Ga914cP9wqDt7onIMB3ufTna6e60TLq9Svsn'
b'RJwJeZ4YZGYppZTSlGdi3ly/fO8DfvXFZ1+/+mIzpBc3z9T4i8+/+sEPP7i7S7vd5v7+bv/k'
b'EFW3zMCUAPPEIfsYwgxzdTURyc5XT566wC2/vLk+He9v3nu5IA22zHlJIgbJPqUku83wjS5E'
b'tLu6mukIMqPFhE939wB2T66VZNzuttfju+ORxw3L4JFpzGTuBjFzI87ZmNN0PLn7KMnMWESa'
b'au9lOq67PKk7SvlqtcIOHNOGWVU3mw0AU7+7OwA8DENKiSGceLfbpJSWxYRZpEY4zcIrL8Qa'
b'iRtOiX2ej4kl2+IYzExtGoYhwTkxBaU/2OE54FzLst3t3DwNKc+LqQ5cyoq5u4OJJOZLzupM'
b'jCHcTsKiOR+mkyOpamsVwwETciM44awOQJuRvcbWLwAv6C4mLsifdUI/2Loulkq3nX9XHODs'
b'ng8uf3QVebeBlTPJxKlsNucqLtd1FbjLixd8rEWPq93BZcER1K+788UbFwuwgHN4fUIVbV4o'
b'f1e9h4h6d1QTl50Mebw9DxpfyIPr0aO3qd35XKWuT3/khv3ngl0uj6FIb6dVU3yADY3brr+e'
b'tXsdx3YaAcGhUVSXagOU5LXaRbCgPOF+w1hf/0FHMSzUvIA6UGh95uCa+wMQBMiEqJUDivnj'
b'/19U/9pR3/3zWcsvm/3oVd0b/vObV25O5sjUXFbuNe0TIWiqMdCsAl/1vIs12yfDOexc7e/v'
b'AKBCF9oAOmAOqqVk1dumduZTECIahRe4qi7T0aFD2jgLorSre60Di9DlSi3Y7jjXV1aTRnXJ'
b'OSqoL4oob19yNsGJCk0LCFZKkuHSAx2HOAdDTuhMvZi6MAACyBsQnUBLoArh0iqyVl40ubel'
b'HT+1ni/6ioWHvWQttDZRx3DcID1t7M6bxFTvUchAu78Ny45as6BdS0S17sFq8KABlpvSX/YA'
b'jgjARe+1rNl+dpEwoy8ExrXuJoIl5qL/aXXrWn8fd3cavk3glzlGtSwUwgAwSkJGjZ5VQEHS'
b't9kO47B1xzzlrLOqwpSosAPFLct2ScbMZm4K82xOzEXFF5FlmcyC/ojNslk4+5XImVMAhABT'
b'9cgriHOKdi4CIJsKReHb1YsJsEJN4RJt16olK4CYJ96V0ArlXEBG7Q7wWuXL3YmcNTW531YN'
b'VUJVNPeKlxhF0K1YGw73M5YnWtvQHucBZK4TINh+goIp/JXunnOuzseoZYuQ6qoaahnBWj+U'
b'yXDmwyzzIaUUoRIUTA5VW2id1RfHd2gLbRU8+s+L06qB50SskSppHCRasILraEQjRbFBkW31'
b'JuQlAR8oZFzepG+89TzbMquQa14cxONmNyZdpmVZlvt3klW2s2z2zAngNMi8LLM5sxCRM++f'
b'Pk+Jv/ri048//XSajt9/8ezLL7++ee/FfrfZbtLbt29Ph/v99TMi8qD9J+IolGaRjcumM7mJ'
b'0KL27NmzZT4KueYZrs+ePfvZv/yLv/33/56Tk7EReBif3Tz98fsvv/r6M1e6v307EO9229dv'
b'vgLsvfdevP/BB7//3Sf30/yv/vV/85Mff/i//Lt/Z8hOxMw6zxE2Scyq2ZY8HY6qmlKySkSp'
b'qk0glrnXjUj9lwbWNLwUMQ7mDqbNuMs5C/x4PM7zfDwxMT958lSG4Y9//ONfHY/D5iqrkZmI'
b'EHOxor16ExTulpdFiB06DMN0WoZhMPiyLMYQTgYz2EBEnETg7uMgOec0bhwQkcQj1HLWFEwU'
b'4edlcydzh+I0nUx1HIc0Dk40Tac5Z8u62UiszTKz6vI/c4fUyVqy4UOIdJ0VeS1n2n/bz2ou'
b'ivdXAXCuwWNEETMQF2/D6uIhcfdQ1Z17N/+Zsdu0zIo6Cu4zouocEnKvmXkcuMDzHdc8RzJT'
b'ZPx4R6m27lhAr1FF2y5WcgxoJMMFQHM9H23zs4bsbOH40F1qT9WXXEGTFHTFFcFZntVOJXoE'
b'I1uhxheA15pkVohFeH3B0hsdegzs7gxiDj2pFWYvQdsoJIFQVmrKWrQ8hDIREUnglaOoSmwn'
b'JbGvvF04Uy/V2fasOK0K34KLheZ6eRXlIe+FicRJAvNHkNDSac35s66jHIBbdjWQsWl43WLT'
b'86rUuDuRQJg5qRFzIuYCoib6dm179ZM9PCq/jcM9CmOWVhUDg7m7jihYHKpuH+5VP6ugVBrB'
b'FGwqztRR7/9nrQyu9hcTMsMI6ja7K8NhhdqPHUbGzkYASbCjE9WsO18rhFz41M29UNCbu7sU'
b'1CPcgx/+rF9g7mSh6BAiaRJm2Z1IwtHlLbUx8AwiEjKdaczH6Xh/uyyL7fdPbp7lnMHCNIYx'
b'4RTMPAVLE0j7R/qlOAIL5sHMbMn3h9vT6cDM+/2eHAAnlm6KFtgM18H16ivtt3wiym7B8d+L'
b'Si+qxar4knsz56gTVnEshT++ZlWdEwfVyXBGKwlEcTJyNafC09DphZcGQFtf9W4lwbTqfmHw'
b'K3MiCQFtFSwtvZhiZgm/bFWzisYZ2hfgZllVmJsx0NZ+e/qQNgAqxWTlSAGYosgkA+aKbApz'
b'TkLn6679szi2652ZmbgkSZkWmYnu6ase3PwYVco7QYjDSAvxECoFETGTm5SEO5iRUX27chNA'
b'3dycjAJNA2J3LNksNnDkGHZbsgHE5EZqHBkjnCNDwOtMiWhNsigrByzZ3Z1kXHIULiVEbwf8'
b'DEAUbQtpwzVPkIrgodbz1Pw+4QRxknWKRsUAd+3ivQS4ExJxfhAVdAI4uWdVjykGJhYMw+B5'
b'afGNgJxRN0zOQFTGKMEKciZTjTwCAOyYLYsIu4GTdVO6GM9kXPJvSYNP08KbbmbZyJzdojAf'
b'kQYUpFvagDHIK46inyQld5HOCX9rLnK0OqZeTKJ467CS2rSk6sJfTIuD0jRAVgwL7nYzY6Js'
b'ahgNxIUNV4jgrq7Z3YlJAYNzpdwCwviui4+ULCihltlyjk1EaH99LZs952k6Hqbju1FPAy/j'
b'5splQzymYQNOZqa2gB2Uxpv3njO/+uijV6++EqFnN08/++yzn//8py+/d/Pq9TfTfHy+e581'
b'z9mJk9tiy93pMC2mc85I4gY9Ha/32wVDSuPx9Zfff3nz1VdfnWabv/j0wz/7l/vt7tXbWxBe'
b'PHt6d3eYzcfdfjsOenqnyzyp3qkN43b/5Pp//J/+ZzB98vn/SvPd5urFez/48Y9+8tPf/eaf'
b'8jyHKGdmMnU3Zocv40A5O5GnxKAiAyNQbGYccX5uuljdyAoPbwxbEV8OA9N+vyd113x7+9bM'
b'5jm7Hzab7c31zdvD3bvj8ZpHgmhWny2bDtsNs0SFeHaYqmYjgjBHVrEMrJ6ZKAp/xUThSBeu'
b'vgPNSzFoNSICrmbEaVHj4vv3KMRMRjlnqoHEgZKIkNIyLWZ2cCiB3ROTKYgEztRDgC6OThvu'
b'PDFELXDZJnS/hfiZo446DcFLP9cb9gwe4RRkX7l4u4ac+TovdPHYRdydQAwzd9Occ3bNLiCi'
b'GoiHQWHkrmQa4NGagrMCc0t7/GJHOUuWrVubtvddK/NF3fOqh5bvKhyzdRczM6V4unbx7jIN'
b'1xc87381R1Ggg743OjoSRtSMidQsPgeyMw7VIv7DUWNlngXENSByxJDWNkndo7VwrZjnxCJC'
b'IgNRgZm2VBCiMpEc3Nw9YThZfWt3D5shNIFetiYqMeimxxARVzCBWW7vy9UCAMCcwIk5sSRn'
b'qYSFQhSsXrnHg7grwcwy1NzUdcl5dj0Ha4WQj3dhSjJYEuYEEiIhTkRGxBp5nG3UGqPgpTex'
b'whzIzBXmcKWqziJEDBPCIIytpOxi64Qnd3e10LG64koxs5kZJFBxwlmTvuswChI9ZDJzm81m'
b'19l0QuwWls1a9iMMFPSGqFpmtMgKOeS6Es1Ms5tns1CyijUVw6FuzKze7Z3m5SmeqRQyyqWe'
b'rhlLUU8DDlEXEURkGAbiBJfDNN/dnrLpMk/utt9fgROLoUSEzLEAFtv2hdxoy0oL7rNq/2bL'
b'aVqWaRy3Nzcv/FpjKocBUDV775kPihITVYGriR9DqFCP+gTORf5QU9YZMPJLJbsp1gyDc8kA'
b'rnDVVcACQf0YDUoiIUN7AGQTUE0WmBmMHEqQkpTs3rtyvHlz1vzUc2EojPPIZwP2QM2ZBKTw'
b'VuAsurdhuCNrIhErPGKz0nL62yNWAgm9+IlbYSwPLciDgrpb6WcFZ1qmRNuhyj5QZdejK6R/'
b'olFxlVU7RKtQXVlrmZv1mM0M1WHU3arwcXahTwtIGyh8YtENTEU4O2gAe7CJoLweRxGDsN0M'
b'Baoeyc8EPrdbUAhHKJVEhwBlrM4p9I3su6KglSJKENWsQOHFc3BEbGIaK1wIWTNimycvVR2I'
b'6HxYW1UBs1bSDv00aw3oJ3n7hhkl+Kak4Ai/MBUPYEAsQg7H57YqywQuC+EsVoYKGksiZT9c'
b'pQQzESt16yJ65sy1vwZAatTOUJB5ofqXTv52qexe9E6v6csNPtT1BnlxAAFAgJrMs9OAqq04'
b'1qT2snmTAZJSAtk0HYnIyOec7+9OX755vdttn+y2YRPO09EsH+T+6c17SKo0sgwpDSBSd1Mz'
b'td2Tmx//bPjkD7/74utXRrYb6e7dm5/9+INP/vjRIZ/SwBivmFgzbZL54XVI7MPpaMyej1vo'
b'QDplvPrqy+8/3X/56cdv7qdX747jwfz/+rtx+2Sz3St88eXqavfezZNf/vxnn//xP/39J7+T'
b'xGr03sv3f/Cjn2x2V2n3bD5Nphi2OwPJuLl5/h7zb4IEwt1zzuye8zzuRrNMwiklBqZ53qRN'
b'GXfm1V9GhS6zE3ThkCJCaqMDqDkckjajEM05z9MUMmSefTqeDofDovrl19/srp6amk55UTOQ'
b'UubEBPOoApZbnUONEQ0fBRNJYX0jZgl4Q5k8lolDu2FODPMFOSDKiNSlsr4a2SyP40hEJB2k'
b'09wVLk0MQigBZY08agD0/m9qoitkn8jQnxobTS9EYrERUXRuVMGsgAGqsrJmKRUNONSdls93'
b'5hYiIhT62wra6dUvZuKGWvU8T8f723k+JSmVD7xsJgqFeYYvOBfc/aoGisSvr1ZC/v0eGb9a'
b'mBtl+0eNrZQWtrvlnJdlisTw6MOUUglTlqezVRGATjyVO1ANYWvpsSgo3bxoofRn1aL6m2VV'
b'K7lNqZROZBJIU03MTN100QI5EGZI2/hTqsTV7p4165JzNrNBUkqc0hgGQLNq6oXxOuEhDrim'
b'+Krsai2EeenJrir9ypcXQd2qlxhgzCwMMDmEmI0obFcWgQywBEkgCc1PeAzvZlvS7u4wdlhe'
b'YFl10ZxzXko0oI9JO4PJiYlZZSAdnBMigCxJRJwExBaO9Opfa4sQVRC7e2N08dB01cyVvViJ'
b'FVpDVFzLTESFwqmKcnenEj/UOt+87moSS5EgjH2EH9om8V0HGfsS5pDb4jppnmyZTae8zGbZ'
b'dekUbnP3vFggdNYloKru23G0MB6rPR/zZJ5nVDOYSGJuaxR9MlMtFBaxTzuKQa6qZjmKoapq'
b'5N1SdfyHGYBgHUsbIzblJXvOxikROYhULY3bNIRqQoA5NAyAFrBqHdtJqsK3EK9gZp5NZHj2'
b'7Pl2uyeiYCyRnvOUrE3XVSBUjp2W2KpLdorKpmBOxQAo5Vf8Qt0PgEcD1QDMbiUud/6sWHRR'
b'PCsqB0N4YHEmqOXOxOolSZWrbrpG8MIR3s68WJLtc/vJqeu9mrZb8gOotd1j3ofJbsWrVQAh'
b'8asQG9yy9uu0a21JAu6HKQzLZquQec4BgCFf+RIRDv6m+XHZnOJFine2WM9kFxZ7a4Z3+rEQ'
b'gYOHJU4ujhvuJDyo8G+wFBYRP79zwTZeVtIlbnpl/bIpyqsEaCWNH2jtF13UlOn23DqIj9g5'
b'3qFu0L8LChyPkQAYWZ14EHR6UpVDUXHLvXIzPXjKRff233SbeylojFWl6ZpjBliVM+vDUSEc'
b'3E3R6NiQGDEyFw3oe7I0xiM8tULFLn051RJWnMH5mzBe605ULYweT0Y6O87bw+7Qgnt04gAw'
b'nukbVH2CJWhZOgFREurh4a6xJ8/LlFIyMlXV5XRaZtNZ8zxKIkgKz92yvH31BTOn7VbS9qhE'
b'abfdP8nqbnM+uVB67/2fff35R19//eZ7L3a/++1v/vov//KnP/ng7/7ht1+9/vrq+Y/uT4uq'
b'DnpapgPDjtPpxc2Ld3eH5fjuapNdT1gspTTw+Pbd3Ztjfvby/d3N++PV85/8/JcfffTR3d0b'
b'tkw+/+LDX376x3/64x9+44Rh/5Sx+e/++/8BPL5+++7Nu/z666+yI6WUcwZsGIZFdUxiQu7C'
b'QJ59UrAzQ5yZEogoQEfLUhQ/mJsqCRAYK9cVWtzmQOn3ap45SNJutwMwz/P9/X2bnNO07HJ+'
b'cnX1zTdf/+TDn5/maVlyXtTgc16GzSBS3YNUwkGmhbVWBBBKIHZqxShRnACl2iLCaVEUQSym'
b'qk5EIYCbrBOXVMNkzGxu06KBiNthyDkLGXOUkXA4udmyLPwwAuCXk78cJer9gPOn/2c/X92b'
b'VdBvt+WDrbUVUVm0i9mhqg1jWpdK2bwb40ORmA6DioiBTYiINM/H+7dvvnl9vH83pMSMJAV5'
b'4l5IHSwvjgJPbPWGuvfntssWtMn5ft93keri2QvGg7wgJdbNzAHKeZnnOVgdiIhZNIkNYxZu'
b'ypNFOSFdijIuQ+cRRHjvHaaLmmkbiDZf+7qPRWEKn0FFRwLIJMxszAAW05yz5hVRE+p7Ijai'
b'iZ0rCKAoXpoZcMuq7MtMRDUWUQYDVJENxQPH7ExqVjHfqgpVACyShthBqSlM1UdjtT4NCZzd'
b'udbZoerfZoJTbIokNX2TEJlYIAoXZLhFI8ERoYTA1dRg2S27KczgKoTw1MS9geK+YpJA2ERJ'
b'kdBzxMgoCsaUaEMFP5yj8VcJYkAoXDBTdyNTeI05GjlFFDIcRrFMJIyreh+rbv9S17K4/EKj'
b'dndEsL6Nw58SAYBZDhHo0PYKRJQSQ1PloTSuUOBUkufK0o4oqrjPpyM6N5iZ5ciXDY8gmKLq'
b'EhXTJeegN5kABL8xUeTGUFASw9XdSQ05a55D840We84aK4iTjp4Vy+yzKlPaXe1Nl3k6ErBR'
b'dSdJI3NSGMiJGAXlmBqPUIuzARFzI0d4K4SI0pCIxs2wbV7eEAXhse6gI15i/RbrDl3GAgOG'
b'TZMoq5B0dy6GXHcmGLDUKdFnCHtnEjDEyVxhUHIOr3vyHOW5hFL8Sp7NoFCBQJAoGVmLnHnF'
b'zQsou9GSzZQqjVJ72YcTqb1A+0xR3qtL7S0GCVWGinDJ1HAqtbpm7kLsbi2HKuIAXvMBzDxU'
b'd7ituQTOwpISU1D1kTMUldydQxw5+2qR1fFd9dVYqghnR6/+ou5WFzYAVfuh7MLnR39533XU'
b'Ecm3QW/nUAdl7B9drkVZSqs9ZutNrEKZ+8e1Z1182TXs7ATqskj7Mx++y8U3vYbU7tb19ONH'
b'u3b16XSmrFf79tFejYO5j+Axh1wp0AI3J7L1LTySyO2yQ9A2ZT+L/7Te8C4Ub+Fr7N6t13P8'
b'/J39MR//Rf/33z9cZUTkvgIfao79+rj1MyrZ7YpTe/Do+tcIEjWgXN0pq7LQbr/Ru8XyfH+v'
b'87DZjRtmnnPWZR4SxjHZpKbzbvPUk7PbOCSR/WazdZNnT578m7/8y9/96j/8+h/+7w8/eP7l'
b'l5///F/8+J/+8Cm57q6vMs3meTDG3YYgeTERSQyHXW83+XgL55unN7/9wx/uJx13T9/7wY+Q'
b'riSNN0+efk42kOfT8fXrr//3/+2T1199CcBl/PBf/HJ39d6bdwfHlJf81Wef3757NTJlW969'
b'ffXVl58v88k1z6bOBKftduvTLCLZbT8O+biYO8wZpHkxs8TScTDY2UB2Y+TuJWMEbfVBRHa7'
b'nbsvy3KaJhIOrF0UA9ntn3zzzTf39/fTbDmra2StLIPm7XZT44dQt3DSFBiYqIhQEnIBu1Ny'
b'eNAxEZEkZqaUhDmYyEyLsodWdyts3TZjBGxODjYUSjFmGRNBTZgSBz1BRJ49Kmw8wgLU/9O8'
b'Of5X7R8Xiwpnwu7iPgFmKhpONaHd3fK8aCYigYSCF9UXUlSuBPrUz1iVjS/L650jrwOJxJLD'
b'8nyaD3fz8W6Z7iknEQJTpDmWAvJkpnO4b9mt4emb9AfUzMjKViEkBKKAlz1wYEhwzKHYCaBz'
b'HAu7Gyl5gqsUE0KoJHVRReHG/wEXJniisBiZWSrWuqQrW2Izoc5lHtLHC3tGNSd6sO+6tRMV'
b'zjjknLPIRLkNq1Bqe5JXgte4p3PCMFCUJgrtCQiDoe0B3fQoBkD82gg9VFV1IaKIfqBilEv6'
b'YyeIA2DdXrCkmtW3qIMlYGISSCJOzANEwinuTOFPLcpTQD3hDpirA/BS/pxYwvtYH1SBEBGG'
b'E4YzSXKSsN2ZExM7CXEK/31xYTc1zprQjykajO9EHmjbM38nmNWNwKDIZIjdNXi0Qs0yhNew'
b'bQYRJSuZGwSARYhTVDG80F2+4yAMBANxQUhQlsRwgytgEZxsa5kAqsSCAQ2KIH6Ij34jN7NA'
b'LVv9vhVecS9k9ovmZdmYWUqyGca2tbMXz7q7u+YQqWaW6rwKf4G7O4kSq9HxON3dH3NeNM86'
b'T3PoVcwkQ0C2hMRAJYe7oBoQ6bxNg2nLhGsMFcmhRc2StIq1UB2IIIGvLi5hJpRwLhvcxQsL'
b'PqEjBmlezXDyWACUKsdOwXJTcfnEZ3Sf2ckZQqII+10itgR1Jo4aveRkIAotTV1YyIgSwRlE'
b'pfxBVeFCh+IoShvTJpIfv9O5s07soiujFs+shcfIBe5qTCiVDhyMatDG1CeCO4jJiRLHLhxY'
b'DuISMfZwJzeLoepMkiIYw5E/FnOXmVQVLsXxHuNVrepOx4pmS/yKqH3WSfIyE5qEKVcREQUv'
b'vncVQrxTW3uVrkzmc0W8nVYmYeNOqAIt56aOR46c14yJywhAW91nSuH5nts9rvztFei+YRHo'
b'NvL+y/Xdz59IFFw0IAgB4ZpxirS9xwXO2RN9DSVR96uf8Xac5bC1FxEg17yFqNtbDDIDpUKX'
b'uTZyzd8tXdeeGFu6m4XAjLgRhScVsVvTGto571Lvers3n+rfy/XS/fRdB1GIBK5IXo+Z0bqo'
b'b0P4jDlCBd00c/fGUVHNggjLGEhkSNmN4GY5TLDNkHLOash5vjPbWBoTM/E0z/M8b8ckw2aa'
b'lqsnL548vaYhLcaSxmG/v52mcb56/2d/9vqbrz/54vd3h1d/8zd//ed/9vN//N0X+80IGebT'
b'aeOs45XmdDXsX3/12nWiZdnK9u2ybPdPf/vHj27fnL7/ww/Hq2eHyfV43O+vP/rHvx/md+++'
b'+Og4nVT96dOnf/XX//a3v/3tqzevb56/9/qbW3KC0cd/+P3VdrDlMN+9lSH9/j/96g+/+fX9'
b'27eELCyLZnAiNhZPQ9HbhEkYmyG9O91v0kBElrOaufswDGbaEINeCIMtOvRiG41xSCKhuuSc'
b'W3E6IgL4/v5I432CHKfTYhJYSPMM97zYzAuquFBVgSxWtPzYa2AJaaDEUVoPgJs5XHigwqrJ'
b'cOLAV1vB1JSmGtipTB+Dk6kGKBkaO0/UlHNNTIARubAABLM5Twp9pBLw5RytuP+H39dVejlf'
b'L1bCxeHuQTbMuRCEEYFATOyupoXguZ5eeCcazIYqEYcVr6ECyS2b6XQ4TKcDk17vtuOQEkOK'
b'TzecLhTjVwwAQaGk8wARpcDFmmfTohqKCBGHY/myo/okIV4lb8AxWyqO2aiD1l2zbjCtuiMT'
b'IhFS1KsmLSJOSCzua2jSK0YZXjgxSvoRoZEvtHP6LbyOQiFQA8DO7MybsVO1pfk4G7jFzAyr'
b'Uh4yKIVtKgLhwPiqKgkLMQmTs8HZC2Y/NNNSKIVZAsGRzoJO0c+IMnYo2XQ9IsjAleW8zEAL'
b'B6EMxIlZXBKRgFOkBVNJuoK7Q8yNqaBuEjk7FiIxMkKKV3UwQAyOEeKSzyDEQsQGQeszSgQq'
b'xFmhtcABqbv7OSV25IR5o0yhNiAogN+hmCsRc1g3DAdAgZGuvCuAVebvCCgySmqpFCakPzEC'
b'4IEzRnGWGZyYaQBlREq74CIoRsXdVnO4w9NrWdX7gkdlcpq7ZvMMXedt5FIR0aI5z0v2JbFE'
b'UXUAnvt+c7gvyyQy2ZKJKKXUqvy4k8IdpE6JJed8O8/z8chMG3ciyssmpUVkQUoephGtdFUE'
b'JiavLEHoRVaoXE4UFHaAgBXOsU4N6k4VdV1J95oFHmV03D14vs7zsL1QcjaVMXUQkaKykLm7'
b'rQSYFUHN8IC5U1QGI2dnJ6MAG4NjUQFmxk4QJAiGCk0u8RMKGk0U7SIibmBnTyIajgHuQTvB'
b'iEUdsKdE6nraXK4VT8MFEOETs0by0r4vYOhSG6joxOLhhHJwd0+CVxkVOreh8Oi1yXgh3ACK'
b'IAARE53Zrg/O8sgmAAAgAElEQVTOXDv84Uppkvli6NqveOC+7Z3xFxpDu+ShOh4OXDrzaKz7'
b'SLVA1sZQt7e2qEV7btOe3f2Ckn9VrB+35WqkolPfqeZXXLxCXFWi5V7fWpjOn9hfddGNXqMZ'
b'q3Ots6BisIgfCWa6u5rGNgJ3NQXcueLiEEk31Pe2maWUuNb99WoAFLBuN51anL8fu3a38Dig'
b'M06qcfTIy15MqvZQotUX8GhfEaQJqNpRhqo/9DdEp4G4u6DiIh4w1MVij6uHUXLORK5uuuQ5'
b'L3leAEgSTiMJF7taaLO9FnheFs82jOPh/u3t3dvswuNeeVRi4vTF7uuXN09/+It/lXbjq0//'
b'8Ve//t2//m//zadfvPn4d78Z9k+P87RNdDwdjZCnebq/TbI826e86O39dPfui6PS+z/6+dX1'
b's8O8zPl4tbk+vP7mi68/zvmkzAxJu/2f/flfPHn2wvAxnD/9+JPb2/sf/Sid7k+7UU6H23k6'
b'bEdebNE53x0PpHkcGFBhcsDmI/LJTqeNbG2636fNljcvbp795Ec//PDDD3/1q1/96le/3mw2'
b'4UcnIndFJMdXRRnN9D333QAYhkFEDFiWJS6PFacQnaZdzlebjRMpfFLbDGPabAVOJAbSbIoc'
b'NCHZLLCywXMwCCfmzMpKCyvzAFAUdUVWNc+mIiKUnGDq6jD1JdJNmUEMYTdbzFwzAHg4KK1O'
b'b4OkYRiGwYmCtYabxCCihHMJtU6j6jMOBXF1yIf4Oxdt7g5z6qZ+txTOtHkiJjO4wc2WWVVN'
b'ivYTKiYjn8/7YgBYVK92ABBQkJqFziEiHJD1abb5ODBtN7thGBIX9uJiALgbIaUBRQCV4Y51'
b'Gr+bOZlEXKS8O6QxZrT5ASBImvrFvK5PIq7pvwQTSlgRmYgJR4W3C+4OM5LUdF9mDuFNddGb'
b'ZTcDgVjgjABzUVEkgwmYmVUV0JCV/Za2BiXCfYVEviR2Zg4ajUImFcZwz4bBxUFYdryaDsE1'
b'LZfh4WkVEhJGMBZDeu++QsnBIqkjj1q7i4t26HXBEYk1AwAMiaRq8eaJIQbEJYHFObkk4gSS'
b'cJAGU0mZwnCQOXHA+g3Z3MlCETSHOkAQJrZwAUBA7CTORBAQOQ0lA5Y4TAV3QXPk06rMPfSD'
b'hYO3aGOh1XesU8QJCK8/Bw9RmYjekgQA8/DgophwYa6AWrzC0TJ23P2xVpQpELcLf34YbmbZ'
b'Vc0XNgVMgmyixknqDeNNo/nMBCLGQGSchDrDoIMiaFZVPzMA3KNsig8pjYtmcgSJn7vLuGnb'
b'p7sKEcsIGu+XOzd3ZXAqFb8aeYIZNpvTZjwdjsfpFJJJxo3qorqEqsQpmRkJw86Us+LrqbON'
b'Gn63DktKYtp+AsMdBjemIeZziM9giaZmfMdStX7jL4PCpu4aIQNyMCfuNWlCZguA+4W6Vu5Q'
b'wJ9FSrkZEZsZcQqxtepyZaTPEBGxZkOVj9cvYFM4MQtFZktl+Q9/PNwJlrVI+bAaieBu5MyV'
b'FLU5Y+srR8pGDLd7gUZcVg6JpNKqFPZNrR/OJi7FqmcGrfw2vMqomJxe7PfYcMxCC+zGvTxu'
b'DZxeaMNVoe8PIIAZZwNaXpz53MDgKGLg7nC9OBnV1U1EsVIAUMU3BrFVP/SNm7u9EarXLIay'
b'BkupGqOIqd53JjlXh1EYVHEHa6pkG461n6szDtXKJZe2oZfk4NgkuOZXXO6Alx7Aeuc1AsBr'
b'sLdigQLi2VreGR5eI+oUyy385ex1t6rn82oZRtpYOJSat749MfYGa51Wo+LR0L7x5ybK+rfM'
b'k0cyPVYs0LlhgG87iMiDfL50lABliygPtDW1gLl0fvemwRvx8OAokkNE4ziWuceUs07TRBjM'
b'zH1J7mJC5EKDETsnA9E4JBa1rLowY2QzPV5f77F9wmn74nsvb25uXr58+Vf/9m/+/m//j//n'
b'//zb683vf/rB+//xt59ux808n473ky93xPnu8HXUl9teXX9zf3x7XPK4ef8nHybaAizI+e6N'
b'LdO7w8F8JmGQXD19sb9+/s3ru9t3p3nKQvT6qy9zzr/+hzfjZrff713go+TjCcBmOxxPrraQ'
b'LeGgVJ224zheD5ub3Xsvn2/3++vrZyA5ZT8cp8PhENSxJfNVJLAM5FERrChNABwt78UrBIjc'
b'sdlswncZHKAsIYplWZSdlzkS5zwrsrpj2UniJO6sagqYsyEDmGab57m484A8gAXGbqrZPWss'
b'VbjzbADy1igl1FgXZfWcC7hapJjl5qSGYu2yW6jGbtDMzM4Ktav9rk5mz2ZD8O7QeSXgft2i'
b'usCZufhnz39ttysm7IP79Ddsy8DdQQ7Tu3dvD3fvlunUTHAiMs9QbZmvfdvCAUlBO+0hUkvS'
b'HjMn4XEcUxpSStvt5urqyswEJVhQSoJH6XgJrMCZTG9LvVBuh6ugwlrQts9qNIQz48wj0O7G'
b'VFOFilOvLOCU1h4LjcHcApzuhCgDIoKoR0NnTilmdlUhU3fmFAgcqeKvasqBY1F1awj7SLkL'
b'D1+Bd8PdcmZLxJyk+tsKpQlVgWtmzB5KfFDgrdSBwa0RIX4CTMEklILyjOtGu9ZlstAfjIic'
b'yYtsTcRekhGdzJWZUdD7Uvb7ot/IaqKRGAISwWUHDRoQTqGkONhKRgDAoT6X2iiIcgUeyeIJ'
b'yFA4hXkjtV49O5OHV16Khz5GB0Vlb1wQXDzF8Swq7A0PRL9ZViZyFrKSwBD7W2EuAoPXCyOf'
b'ta4yBht5BJ9EWCL6g9iMO/v1v+iIHd2aDmRkZgQzMFDY8qlQTJXzG46fq+VcgHseskqapUoO'
b'sBBrcUO03GVAaqmjUdXr/mRm5GwrMECFmESdRJ1yzmSOlIgYSZgYZmmTwjl3vd8fj9PxeJyO'
b'Jye5un5S15aJiKRkDiJSaNhhNUm1eMPjb8szqSoCE9hJAxgQjnAIi6/ohTL56zB1Huvizw7A'
b'Q1H4CFw5kYsCBHEvsYWyug1gsqzNbF7Z9GmVMb3qSUSNnawJCjuPLVxc5SsbzNk5wY3dlI4y'
b'nSNGSgyCdHcIHMLq4/H1Pq0oZGid5dWYVe2si8ypEaQ8djTlHrD6cisQBS0164FfHG2+1fvU'
b'Djl7FJ9j9FsHrlvAuQ0WaVeowvbiqk4Ctw7nR1+tndY/Itrf1NP+PuWqTjWPC/tCaf2HLlBW'
b'jnK36iHuwwVNxbl4r5jk5bpVfV/Pr68WWw6BBJ3Drj/6TiAiqd4t8nPXgBeWqovtvp2Daj4B'
b'UWoKDldVZikWDgAUd2DfLSsUNhwNpdpxSQhsi+Vh57u7udcQ69p17Sw9Kz5NrQ/PJgbqanrU'
b'APBGBRanldCEmZkqMZmXvKvIqI88Q/GzAm1lghRE4MXBAW5KMlIYqACRiAzZ2LkQ8+Z5npfT'
b'xAMR3YKHYWNmzBgTa54S0263E873b75Ou4nGq9NueAPcHqe3T5+O1y9p++Q//vp373//5fU2'
b'HW5fz5nUFp9Py3Ict7vD4d4Md/fDu1dvWcYX339/UTWbbVqm6daW+8kyiIdx55KGzXa7u6q8'
b'3oE2zuSDEMZN4oS729fjdkykp+P9mNI063I6PNmNYxq32+HFixfjuLna7UkNbneH28Pd3ccf'
b'f/b6zbtx/+T27sDM0zS1CXa2zGtH9hOPW45tcfHQOI4hB47TKec8SmJmZonpO03T4e5+nmca'
b'dzKknPPt6bAbBgp1ThhcSG+NZHGfczi3sJioYZjTdjsmZRGnQhzhLQKbHOye3SKXQxeNfHFO'
b'ltic4NpTTbIVhJiZmi3ZDeZ682wXa6FEz7w4I9YIwPr+oXFUcAgRW6dnNEGz9mNf9qU7CszS'
b'iYgjlIu66y3LotPpq88+1WVmgmqUklZmVlvC3x9FOoJUxN1TuN/6qnuW3Z2cAYzbzZMnT26e'
b'vbje7cbdTiSl1GnPbmamZoFvYKIz31XdGk3Vg5ixapwIwUQkicO71cQEVRRp/WcTFggvm5ln'
b'c1Wr3IVcljpQfBBUUj4osCvM1NVWO8d/Mwk5MsE5cgRKslD1ztS9mJMEFQZRRPaIamiGmRji'
b'ZpQovP+SpJT8KMEvQnUfMpOqwYOmsiQlsjDMIy5PScjcQxdBKbhZzSMQwl3jABIjxGlAL5kZ'
b'7gSFBmWShwWuXkBQII/03HBckptRLAeK9JHw4lFnwq3rlr3lSVXtBOVsJ+YghHG4OYd7VylS'
b'e1sePoHYQVAoISHsVWejAuuP8AzWQYwRsOZDrrMKHqzdEl6c4iUHwCAL7oYwFgNkU105XDBM'
b'RcRzM2FadljsLudKWIsDfOdR3MFR6CgiDgCZM9wDviEBiyxobMoeZUdjY1Ih8mBdtMeVIXNX'
b'K671wvDIgT0MFkNPlFIwrDUghHu2UpUEGFyNBCQjCXLOljWbOlxSoTomo0HYkqWUdrvNPO+m'
b'JZP5PE3DdiH4MMq4STKMkgYn5JyDmDK72ZKjYYspVKlaQkTEVaxZoG6403hihncUvZVdpUy2'
b'JhJcS9IJEPGqMJnIK7UlRd8hrIQ2KkQhHavRHlpymKTuzd9RAJBSuu0syufuQezOiJhFaC0t'
b'0Z+qYuzNHS6V4MjMYs1YrTgR7YnAYfh3KFY316BlneRtiZlF7ofFW5c9QU2I4eVZjhI5cfN4'
b'bp1pZcpRxWQXe5+o0BUXr7ZReFhirTEBpHAgOJ8JEeQCpyRmltJAjsJPVRg8AVh0VFNto1ua'
b'SKkWa/krFZNNdREC8BaxKUPg7f/VPd9p+QDOIxJningjdbjYQWO/6G7IZhbD3y6PM9umzJW8'
b'gRrvU654ISKrlsyKfjHtwULApVBt3zT1OuZsQ66jeLJLa32tYmmohe3dESzs7NJyFttMc7W6'
b'DZyFaJorKrquODUBCESEQMQsKApNY8Io/zRTL2m1Oec4oUTXa95kECYuy9J6rwTiarhkXe81'
b'QE30EIS2jqZ1xcvdnQrnr/UjdTm+hZ2b2lVS9RYiym6b0lFixYGSGWx5cbcwgWKN1OHrMluM'
b'wEhpIEigBs3gJBnuRCMxMwbBMAwpcTZ3Io0woIgxO2+y6zTrsGFhn95+fnfMy/E0XD3PRn9M'
b'tOQDnj4bBv7yzTsROc7vLN1M08R5cRjysh+T+fz2m9fX+2fjdnu1GU+nUz5N0zQjKQ/i4wAa'
b'tlfPTkteHBuwW15Od9vdLi9Hhi/zabfbmZnnaWBNdkrQmx0nphf7pz/74feeXu3NVN2Op9PX'
b'37z5/d2n0/3h7u7Oge3V/u5+MvO95GzumqMihVqpA9CwroV+SqttUDktWaJohhFxXnJkAJvZ'
b'3d1dMdq5IDsWtV1Kh8PhcDhQhvOGmWfTRWmeF3CCcHZTm4dhYBHebAZKyzLlJS9TdmNO6Thn'
b'dy8E8e7gcBXl/QCWIGiBZls051mnZXajtBkTceF/qwXChZmIEvGyTG459Go3XZanRARImMVm'
b'lnPePqyLDhTJe8YPfS4L+pO9BrC+7bjQj0FOBiE/3t8e7m49T0KAGTOyW3XnODPP8xz5FgBE'
b'ZFEjjv1vtdcZrppTStuUdpvtdrtNm01KiWVgZl3Tj9XJQqliN6xFnYDm060nFfcGBSENm2em'
b'QjIMD0iGO1XkEKrvv/paopFhLRSaWeaitK3WJgdcgIk5FZ8ui1CjRHBHn5MXygcTo0fE1oHo'
b'/tpKzF9Pa1YClXxsqoGd5kvr1Ygm7plr2kD8yuUveYnYlopLEdMP7aWTcut2Zl4YXityLB4V'
b'CkGdY4/I02hwyYLgREbayNqMJIAzzsWCKPG7FdTl7qVGCllVf+qwk1EUFq1NfFSBjtIZZ19R'
b'O9POv3z08HgMiODrhLHWOxTpnxd7AyGSB0o3GRUHTxAYYEV/AY/5fv6kg734V2tfgSgyNwmI'
b'7KgwYEqWXVQYRR1udHFS1N6OQcs5RwVcEUnVG2rNRH3gOkXN24iIljOzE5tEuLZtt4V3Xw0K'
b'zTmbMPMwDFdXV8OcZ8s552VZzDIRUkrb3UbSxomdGmFmzkvAn3i0panUVkrdFX9hDudKBWu1'
b'd+yhNTj3IXXLZ3Vtti/pPGJQ7tnc0JVGk6hWDoazROggfAVnbtpVJp97WNtzayCj6n9wONRL'
b'qgh1Vca9rscWVWgPKmNExIC6c7dCWhb1xYxar3rs1zZzjFZ9qP1tTYp9p11OPXrlXENdu7fc'
b'vZvbAQUMhdud2CWRYIgHaecnLjOwewV0oHAviXWXz33Y7P4OvXy+bOoDzEzfFbEYm5n38Pxv'
b'u0nf7UXu1fwEMxuGtE6POhDhO3d3t1WjLX/zCmFqX8an1RShEs3zjoMVJd9kHQqvDvL+bhcR'
b'm4fvdfF2cLRgO5ETiQZ3WbdneVVCLlZH6Zpz3z/qEEcntFGI3yKOcLHS/fxdesnQvhYR58bO'
b'Vz1Yj0KAnKuMLRpB2WppBfwQQp3gWq2nZrW1wFH0zMN+7LqOOaWUJNizmJ0wqblnNVP3JEkk'
b'iYhIkoFIBEwGZmaRgR1D4u12e329f/PN11vm6w3tr7e/+PNfPn/5AY3jIZ9ev/piuXv7T//h'
b'7969+uLJ9dO02d7d2nSSxTjP836b8pJ//MMfm284Dcf7+9NxYuckhJQkDbx5oi43L3/w6s1r'
b'PZ1MFyZ/+fz5zfXVV5/6NB9vnjznxGY8SNrtNmPyjfBIUNXb03R7f/zsk88PhztOtKgfT5lI'
b'8pzNJJNBaXHJmlPWRdec3VW9aQ7cdbNdD4VzCM/amZvNJno+IgmBLXEnp2LAT8vy+tVX3/vR'
b'Tw+nowzjZjO6e875NJ9mNYWqzZxkv7uScXO13V1d7XTJ7g7Lp9MpuE2ZkowD1OZ5dneCnUYZ'
b'U5nY6jTP8zxnd8/qdntHVc7H9GYiaE4iUf+YTJk8ADLgqGXuRKlF7SggQOsGhtAPmYNPo/M9'
b'ttXF69QvLplH1X9qCiAxrVpm8ZaQY0yy22588cSAuaRKes0CIKU0TVNz/4/jgOaaKm6t4opz'
b'17QZ97vr66fP9lfXabNhGZyERJqb34wjX5phcO08LSsm0m0tHdLvDZH/EGcHWtCrI7+5jEsh'
b'9LbHExXy9uCQj7TrVRRGfxb0iFQanNLt615YNjC4R74IlQJbvRjq4pSh/ReJJ10kvSKsiouf'
b'hJlSKo+rUchQU0JgNeRrPacIwfakwMK7u7qVGGSLRnTbnrs7VkhO6VIiK+bT2dZI3bXRYHUI'
b'jEioaKtoTMsoftuLhNVwohpXmc7uoWHHGFMnMfukDjjIrY7gJTOsRzaEgwNz29htLk47m/Pl'
b'hd1LFSdygot3lYCpvH/0zjolw8nZ7UAlBmnFoUVRu/K/xPF/dhAjSt8G2qfEX1CKXNbGF2o8'
b'B9jgtQRpUQLCZW3FovXqOXZ3hQfAUUApJRSuTz23DKsUrp7RWBsc41NotQiJbU11KKtSVaHI'
b'zAad59N2TCLXOdtpnubF8nTKy2R5ds1p4DQkc3Yis8CMjdgUVTZqNj08HFoCtV3VhcKMdM4a'
b'R0RhmC06txGnRIgKED3KH96c1oiIPlFd2TA4xVwlIqCw6CAGyN2dWXqtpTUgVSWGalTXzKLa'
b'SLM3imMjYjKomJ4z/SZIIgxNRPdBTo4l19jw4KgKXNcbvb6ICFeUdKK44UrzUshDCeZ+kfPQ'
b'Pj/UAp0bTLqXGPWBXqZh1aXqbIEHjgJFwSpuVjqrVbXex8xKe1v74cRBX3ym/fe7Q9Mp/Vz5'
b'ftg5F1pvL/raTIs5xz0khry+EYCSYt1vx2edD9SXXT9HkUfv2mQV++7urDVVoB65BO7MPVDF'
b'hZ0rfBaxZuHav6M98HBfvCwA1JICfeXzfgJUD1l4xIONhwEvHnSumweRBaisN0St5EB7SbkP'
b'h8WKF7gYQV5xdJejU3e6tbzuw4Ooh8Gtg9jMqoeDcnl5yzHwGK+w1a2xkcVpxSxvK6JsK7b6'
b'Yhw1sPygPWbA/8vamy3bklyHYWvIrNrDme7QDYAYGhCIiRBlkpLCkBl6sx/8rfaDX8wHRTik'
b'sEOyBEIUQYImiZHobvRw+w7nnnP2UJWZa/lhZWZl1d73ogG7ouP0vrVrZ2WuXLnmAXrfmXMM'
b'iRjYE6L3CqAS4zAmDL30XkBEyDtFALVCHUJEIcDhOEYg5y9vtk+fffLR62fv/3R8/Z1//qff'
b'+xf/KuCTnvoX/MlX//C7/3D7LOxvx4ed67q78QEgeU5xHL76pXevt+tPPrlN6CIoAKz6LTNH'
b'1M3ldcR1SOk4phhku10zpm2PPY+bbnWx0sdX724utoB9SiiKl9uL733nmx988MF/+S9/mUD/'
b'4Otf/+p73/lP/+e/PxzSxeVWCAIeHXllK5RczgUiMgGxIppptxhBwGJRaOpVBQAghdiB6bdN'
b'/up2uwUAEdjtDiKAkCOTifl4PF5efmV4dfvRB+9vLm785mI47vrtVdf3q359OBzuHnYh4lFD'
b'CnEvD2tJm6vLR9c3lt44juPd3V236sdxlARAmEJSidbWF5K4rnedR8QY5Lg77nYHAIghxRjJ'
b'saoyc9d1IYQwjg4BEb3vEXKVSyTtvS/FEoovWkElInEOAarHg2rc/5sJ2cQa32r7r1fl3/Vx'
b'RPTer3svKIyAYCF6wuyLKxg15bAIC6Hx7LCQPy42SEBhZvZ+vd6u1mvyntgDObQtLwdDzMuG'
b'iIoESFO9iJnNwK6WvkMTMwrFwreAGADUcKB6pw5Vbe0NXci9+3AeQkqzSpcLc+MscvT0qkO1'
b'EzhLlOs4VfqHSTSvn804qESMaOXUVUqzl8WwyISItfCfEREoNcA1mYiDUOr2pRwqk0ubZH0Q'
b'FQVzMzeA/Bch14awOCUjhSU9WMyNYoFarfdcCVC4moxUUAmQ1RqsokVIsULMxRRzwhiiYG5G'
b'DQBgvWg5y+Y161FRz+/AHCzloWIRM6eJdQlNUKpSopKUIgTNb3PgRXEsYB4RCfJ65VRL+ZyX'
b'2XGN4ilhbqKgiIQWiGPB/0VanXindWpWmYIBVVVhlv4rpT1NSklyyqlhZm6b3RpUVK2mqJgj'
b'vmi2WeyuxU/qobCL2asmIwhd1w3DQKSrruu67n5/GGM8HHa7+7t+vV0PGwQm7iyuFDLK5UgW'
b'Zu/cbOaqWdSwKntVARARiy9uOyFUUgEAYJEvTatyQam1RKERxzPQUhbZwUQxNbnaiqAVEQ+y'
b'QrnAq5YstGLERDqIqoVeVUs6gbWOnFSvNgvZjH4tccgvKrTKXB+mOVClQo22vyA4bYwEoiHY'
b'LGDMriqntsCZoDSbj20Zt8/UJ3EOpXqn7TgLUyepdmJnoLoYvKWi9UWVXLcTPh2qHbOCqJ2h'
b'3bcAlSIOzhaO5eC185ES1lVvNhHhS9iC0dZzq2sVsHYteRNp0oqzJcfmXGI+tdmmGdAQYO4W'
b'ABDL+SlLeCNvasHbgihBclYFJce255xhhVRtQMtEarOWlRT/Nmpfa/duRDO76tzqZ96zGM7U'
b'ODqZ+UyZqf4/bFXMc1dFoVJu4QzaaFbvO8SEOGnR2iQ3w8mJmIAuopqcy1ITSCRAx+gRU0qK'
b'hI4FNEmAAN77OIzomAhjCGE8lmHo7m7nXb9xjglDSq9evvjJf/vh3e3dkFbHmHbH18fdCwRB'
b'CQRp/3DfeX84jE5D17mYxoeHO2JQAEbe9KvNZpNSkmEgFNKBBF49//jm8gIdXl7djId9CGG3'
b'e7h59Og47I+j9GvP7FKE1dWjd7743ovXu2NC6ruv/rNvf+tb3/zHf/jps08+VuQko+s2EiIQ'
b'pzGyd0BshiRChzgCQFIhrankE21pAaggxSSQLRymSanqZrNRVRHd3T8UNFMiEEnWcfnRzU2/'
b'2b7/y5995/v/AjyqxK67uNhuN8cNMwto0isAOOwfnKOedN2RhbV35B1su65LukpJLe7lct2n'
b'lCQFT0wMAsDsV1322e73xyhj5/jq0Y3N/+LigpmdoziMapmiOX1QkgRU7bqOrfqtIimIiMag'
b'DM7MjSYK595Y5GDuyeWWgUG2h02qarZtAcBCMTY7mWDxiGFjYXLkO9fHpI4VIXN6ZkYgVRzH'
b'EZUceURcrValY5e4SUrO5gzf977vXL8C1yE5RWay3mpQhRMqugqhIrZC3CwXqhKC9nQZDKzT'
b'upZYCFW1lPDCbLCuPZe6E0RBQCZyzA6q5wQ0+wbymcdCsEpWaxlBRRGsNK11KiJCQqWKvib6'
b'mtfGwtoznBUkKVk2I6JKNtNmrM5RypkENfuFWLo0WKQ3gBlOAYkBhEu7KxMsCtwQc9usbGUX'
b'VQQSEEJIIgCYANhehKQWvAyglnJa0h4FEhCpJjTBG7nuhSJqVvYQbE9RgFhLDJLpU2JsC53q'
b'JMYXNgUAVLIZc7EjhSwqgVrNfVRCMGVByWqAajbXMky7Q3qm8cvbLq2ivIVGTwZKOxRWrL15'
b'HnMMNOS4c1FQhWTeHjIg16Ajhd/VCWB+BM1FjcgMtII5tANPDLopVxwDRhIBkQgmhxgmFgWn'
b'RF9Rpw5Fk0ZQBVFAQCjdsetZAxBRs8IP6Whkp2raIlJr0SaaJDzm3PBYIaFavXlICt5717EA'
b'htevD7sHZu7Xm9VqvQXq1061pOFatkNjrIWWEwNU9NZi9qw7qKVZgUiJfKjZhylMDoQiXkhM'
b'k8zRglMnv72IgGWCZEs9Uq5U3JjDc0LITCY2FWIKL4TcCh6JGHLz3RytYQSYJuKWPQDVpA+A'
b'hCqVEhV2OBdzGndiSZqcKECpnW6CYwHpxFa1SkKquW4AAqBFdXDzHsxWjPaz/SVVtWpgZaBy'
b'FRveYhAtELTUjomdoRUjmKkczWBvVLd0JrXbJGvktuVazESKOvJinNOrDUCXqQ5yVgyW5xHy'
b'WWpzJwiw2uDNNzjXNxrPts3PQlnnOzsdB+Maioo57Tvbm5MACJGTcoQzMrzBxVH+KRWhiEpu'
b'iIgFu8ocUKpqOYdcFmJ4CVWyLs4ZNL9ik16fz6OqwS0/Y2ch9xEvQG7s9FgUXWzUwhaBy00s'
b'2lltAbHU7hCRaqJzMUjpOW5hNRDL4GYIgLIbKk1V0La0aztUyaOYmWkWFztLLzErmYomQPRM'
b'BMC+F16N4MIAACAASURBVJHDMKgkq/+dJDA7RuvbIajiPbN3iOzdJgko4ZCi397sdw/DkH76'
b'9z8ZxjTEkVQIQo+JHaSYHMEYSh8Y5hBlDHvqLlVZCRJpjANI7Gi88tE56vp1566Q+G4YDrsH'
b'5O67f/ynzrkf/vCHv/700x/8+Z8/e/b6W9/+Xgj67Nmz5w/hg2evwfW+7z97/pKYo+h+OK7E'
b'+Y6N8BnE+t66zbgxRWs4m4OwTYeFVKFW4dvSBFWlUtLDUAYRLQcgpbTf77GgBRGJJGYe9of1'
b'9vLx9fZX73/061/8w/f++E+6ft2vupV3667vvUPECAoomh4z6tr7npEAVYRQeeURgV0HACk5'
b'E49FJMXcAZ2ZU5T98eA265V3wxBevXqFiO8+fdp1na06hMAd95cXqorkCLFj5xiTRk2p67pp'
b'dYigKcXAa+/qyrlcMncTL0BT5dj67VuoW73q6apRRs457zqUxGQBGErIVpQjRrFOQOaO8N7X'
b'aHVHrf1GBaFbrZzv/GrlfI/syXkAsuoedpYo9+YpuWUlpsKO3KRbT7I4nluUkQDIyUgqAM5O'
b'oBJCblFmGT9kjeuxuFMKaYbKqVXNZGgxKTUwPstQqkWpQstAzYyewYyprhq0wFycWpgO5Yhi'
b'C53PxT2p6BKoWnrNG8VEBoRqkxbrSFXAAoiOcbK/ToE/heDkAErM/R0pqyU2J8vcy/H7guDQ'
b'CvVAyQ6FIlIbzBlFBZkUgJiyyM8IWMJRCmiQzQBeN6tskE6k0ModQW4CXNekwmB11AnRqozn'
b'pg2k2TCAUprr1v4DhhlKSJBrh731OhXHk5n/C0bVBzBP9cwI52I7UQDRysxTVnjeVALirfNT'
b'UCXUpl6jKcXm7i/JqYX/gapSbXIG1pzVGlQrADBqQiXBBGDdo5UYSROVPtZW9gk15SACNHxD'
b'tGCJlJIUrQTARIokqUblEhaZU5zriIgUYooxhNxHHJRAnWdZ9fu9vz/sHx7unX9BRDHGdYrs'
b'Vuy8+dlzhp9BU6aXLoQ/CzCol32bBS+gGhPPiJZrm897cQyYfdGCOFtZMH+W3L4RBEHmwmIJ'
b'cmvNoUClDkUNjyEEmXwj7VsMPlrqCOUq/kVBsyOi5v+F7K+j7IvMElPNWqnDtoJRmRS2ecn1'
b'1QasSjFyKbNS86dKpdi4LKiBcIH2rJbLhBg4s/drY/luiAC0oG6YzkzGbR9rt3iBCfbzlKbH'
b'6m/bN7brshuLr9p/No/NXmcwkaI8WOd4yp07l29pd7z+tn61WF3doxo+WodawDlDDGZMEGt9'
b'IbK855zeBgAiYXaCzMXerGsCZnHrA5zxV8yht7zfftCclJnnr6CAUpPuWmUyBzIYdSslz6uX'
b'oM0BgBJcpJrbjUGJrKv4s5jSYv7TJGF5H03nObfAsikznx4iaWLNnbw0xXzKiJpthWXPh3OX'
b'iAg6urq+ePr08XrVWbJsCMEqxqSUNpt1SmmIARQtgAREYoyQkgIIiqYoIiMM/XobCbnrgejL'
b'X3nvovPPP/nNYffQs2oYe49M5LmjDuThwBovuu7m4nrl6XDYKfLTJ5sh6Hqz6fv+6vKy73tM'
b'MYTh4eFh9xBeDXI4DgMQ9v13v/8n26unu93us5cP6Nf3D8cPP/r43T/4yv7+2HXdj//2rz99'
b'9jFhAonv//oX65VDSL1j0BDHuFqtE/qHYW8ab5LE7DmlHA7d5HTh3MiS4VXKsiNCTpyatgmI'
b'eb1eA4DGdDgcSgGAjGmIsNmsVeL+7vVXv/jOrz/++Pb5p1/5xrcBZH94WHXrvqMQUhiDSPSM'
b'FrcTx9B57xCSyXmiKhGAmICRAcQjeO+IjFe6gCGJX/Ud0+UYw6rnGOOqZ4DE3kznUVJMAZIq'
b'kYpIIvTOKQqhEG1UE0gyV7NIghTXK5cTmWvcfw60KNecXKaKuDj/dnlIEGrURO4WaW41FRRE'
b'ImTyfdevVwTKVl8FxJiIJolxzKTHO991yNbxxiLwBQq3omwdQCEGZLP9Z6kXzWhdakrk2sDW'
b'a0wFCOyliNm0Z0ngmOtxGGpoMR3bihRErDgMIjGqycMlRdZqy1j9f8srBAYkBIYc0CBay4YA'
b'KKhMMbakgCAo1t8AkBRSjmFXK32gRNkqYtaZKiRY9ACAADeNt8wqBKUSQtaBRFATJMAs4lhU'
b'JxCoWux1MgNekqSqzGzFNqGIJZnKAwBAAuuXDQzapi5r9jao5kIoYm4J63bNSKJWJwmhFDtV'
b'qwYESgqECCpZM0BFhKTZfGsKmtWiLGpDi36YK/wUA7maHRfAIs8MJxUtuhpz8WkBs/+bYyBL'
b'SwjmwQFkMEWqNDSwrOVCjUHOiPtL2b2AZvFA1nxMUcGlEE958pofLXFBUAyNWOqFvi0P7PSi'
b'olqqKCtIUnMKacVNM+nhFHNtgUdZONBsRgOA7HzPW2am9byjzAjW8EdrAZOc+Yw5/F2xOPQh'
b'mi6RnyTKCl+SZLuukKKIaEwqjMTAKmZjDyiJgRyRZwcdXWzWYxxCGHYPrxVhjLI5juvtdbda'
b'O+eg2OdmAmtzWSpYxx0CWGu2lOXIErKVNXk1p6Yo5F5cwFrClqCwlnWR0qrHwP5p3Nd0gExL'
b'i8xXf155VRbFS7WcAvysQGfCCualBpgskUgMSRUpm3+rD9Yw0c40EYqpbQJIaokhxgEN+SRJ'
b'K8RAlf7Lwcux1KdoRhPEMqOtRiUFRIIa3FVSqup6te1r0cQ3q9gHbBKlBJpchMrRJdfHn52M'
b'SWosJ0+bQ1mWNxvH7ueKiapghBRUkaDKbWZ/yWMJAEFqTVQAxQZekKfBN1UAcG5yfFXPbDuN'
b'hTDd3mkVFWnSuKlpU1B/q40OZvMCAKaajjJZmM/qOaXzHaaUW2AGUUJc2ESwCfRtbxYTXuNk'
b'A4DqcnyDIJHXVdLkEFDSvPr2XDWqXsTi2UApjcxnwYS540/Z4upkKADXk1iAJTTml22fTG6x'
b'SUZqn2mAP1PD3qT8pKabSt73kxCgc1fNewGR+LC7G46MpM77BOqYVl1nDd08I5RgoZS8WSJD'
b'jMMQomTgd4RD2m8uH/tu1XfdF5/ePL55NO7vmfk47AYZYhj69XY8DJvVmgVuOn9xuWVGArl8'
b'/ORLX/6qW62d7w6HYbc73L64fTgew6gJqe82rvNEmLpV1/khCVKvSj/64V8d7h/Y6d/9+K+I'
b'3F//5f+98h0xxHBM49A7jcPusI+vnl3ub597iAiili4IySMwgQPZbNcPuyNoclysIRkyhZ6U'
b'ingAVXHNjxk7BPtaVQGd9+vVFoBCCMMw5PNFKCIxjldXV5cXF8fDoGG8evzoy194+uyjj26e'
b'fuHi5nEYo8TkEYYxRtEEuD+Ove965zsvAOwIRVAUcq6XVbVUSCmpiLdsTdSkOo7HOIyC0HUr'
b'x7TZrJ1zfd8fj0eLpAXQGKMipJRtTBJSGEdFcQwgV2CFmq0HV0wqcbte5TgW05jblPVKXKA9'
b'sXNrze902QFGJCABcmoSGGJrrVBFVbBOy0Rkkb56oj3nw0lISOSdcw7ZE1GWT5G0Ri4WNjyd'
b'/XN5y9VBWs0k9aVEEwTEwiEYmF1ucJsrTE4OpjrT1vzfgLSFnznTzTyiWU5SyNVpcoMsVE2g'
b'yuzQimtSNepBSfDNNYoQSXOrZ6iZjsy+slLNjZObhITJQlE0GYUS+ola/M0ilaSahD3bi5ON'
b'Nql7YmCt2FDpansHKp8HmGA0fwwQi4kqR+MAECqZp3hhNm+pbU4lSVjDXcBKcSIJJgYGUgC2'
b'HgUIYNkFhjwzhg2/81W5dQuK9gFSOBGgylKyoXmGrnldJbb1LTzpbbPSOlSx4IqiZFnM0L0K'
b'PYjVtG0aX/5tbvXVzkytXFXCrD4raNLi/aAcwQRFUCFUIeJAEZGakJB5RDIpAKeUREElCjot'
b'JR1avs7MgLzdbnfDQYZBYhz2u871+dhq7PwKCJlLNd5J1ml2ihAABSOR2V1KEsYMdS2ZTAEs'
b'NSUzesSsrMDcpNqedvscZUqgNDBWfaAGJ9S/IoIlg8KGzT0sKcM/Y0yTYpRdpFr2sXgq3JRX'
b'iqrqiaCkkjCi1s+FQ+p81XVdOs+ebKWkdr1IQDlw8rzQQ0XRbDFzEnTyaLKAYZs50E5j9mpE'
b'rME/+c5U+19K4Zd2SourZXY1v8uo98RHzth0lyplu5YzCqfOTjERmbVJZBLgsERv1i2ogv5s'
b'U+Y2O2x8Au1sz9HqCYAVwu2YdXpKQJjTVbEYy2dgb3Zy1uqufZeeeWOe2Ln7ZQKsmsxcppDs'
b'1Nq3AqSCqskKE2NxLmVVv5wRxFmxo8rgzE9oZ2aC85xn1RXaP0uoX8XPbBUhotzroLhBmpJx'
b'sx03qsvMxdk8KdiqajlIuVOoJdDThGk0Q/VFrkXJwbM1pgREyO44xkGCoPRrJSL1eDjsh2EU'
b'EUeMCIzIVloYldkz+83FmpwjdKKRRK6YtVuLCMXj4fXLF/sdQ2IIHYoQDCE9PDx41+8Ox+12'
b'CxK2a//1r3/9448/3h/H33z80WEIx3HofC8CvttEwQQdseN+E5Pudvd931MU790Hv/rF/u6W'
b'4nHdgUrsO9rtdv3KrRyPx0M6PKhEGQaHTlH+6Wd/7wkdK4ESkWdKoKvrayDs1t3N03d++rOf'
b'E4EVpVhglKo2aZs5i70ye7VIeUQEsZQbZue9Z8BjShJHzMWCTXdCRB7Hcbd/ePfJ07v7148f'
b'P7q933384a++udmsXJdSGkNKSalbMVFH65TikDSBJDkyEalYrR72zAxMjgBFoyQV0RgCACgC'
b'MV5crkQkhjiOEUEIUSWCJiRQSEiKpCmppogonhw7Z2fLd6gkiPZPFhRNQSWuHDtFBmIg1iZN'
b'qh77rM5LqmJZe861EdTOEUSFQjKZ2QxMSkmjIhMQ5aqcqdQkIpckpJSAWDWxd53zqEBIjGTJ'
b'fwCU3XaUPQnOuVpHeSIuiIC59ZoCIJMVolQAcuYKTGbTEImqYnoBWdLIJBSoqqWvgqrGmCkz'
b'EGczqZrmQDZJAIgxhhgBAJCJuRYX1ySEpJpQcxqTKgKIpQGxlcjPkbgEYFyKVJNaxRZGIDb8'
b'XQB54jEIYBV+CpYze2vmRZTroJnoQSVWEbNKATkb2MRoK5FuiROg2oQk5pODWMsmAoByY7Fr'
b'tt7obMh56AhMSla0m7TaJzQt2VJ270yKE9ZYAkQsLRvqYW45R8tNy1/LXSUARWaR0pIVlcip'
b'CjJmBEZLZUZEBrQII86jI2qJG0akKYj7c1xLLmgxPJpjV+xoWW3EAn7AYjVXSDA/aw3vFDsA'
b'n3siUv9HJVgZEUs1UKtKiWp1PyRnyqPMin9rqfZjimUyFTcXLMqkQ0QQLWUFCDCmGGN0zjnn'
b'UrTzO6kfBAII5LyqonkKreF3qflBpcK3Jw9KICIpEiBIZMCOO3EWhIYiEZC6rnt0fYOv7/fD'
b'kXEMhwdCjV2n0XPn2ffETORSrn/YQMdigkMuuwMQoNU889ahUs4WyHMDVkhkLe0mM1LREwAA'
b'gbApammL4onGAliugQOAqgBU6d/OqyUp1gNFROZDsJ4htavutFPWMbSIcwi2oblRhcVeY10y'
b'Zq0a2qNuTjlaUkKTeRjJIows74i4/FYFcEpOzz07EM2uDVVw0Vx3ihGStUSA0hrM6gVzDjUE'
b'RMuRJp3quyuqaiqYL5bmqaooDWFM1rk5r0JVAVhBkyRCEsmNHVRq6oORwVLZ1iZVSgLlKu22'
b'ggKolBJaHCKAlJR3m7btURtbj8XGQaW0RkUhkezEgMlAZt2nc5UkLRELzWXstsG0KhKemLbU'
b'Mu+pjJzvgkHbsFRUkZDZ5cg0IzVaQy4BAJRQJCGopqQq9bw34rzU/yOyasjYhZxSIFA2BzNZ'
b'gWmbaNZFk5Wczj4Qdd7n+yCigsyqKgKogpw1JNUEwIQ8xoSl1JhBktAxM6FKTKiJ0fg6JTtT'
b'jSMFNGXgSo6FtMXnpuMp1t00tMuO69JNuBAoKdUFFNoWGfnKqTqa+0Or5n7yBQEAzUFP7BQk'
b'u49EAYmwUzyklJiyJkBIqMjoYhhVExr1njtEVNWUb0YeoqBbI2+ChHe/+MVHTx6nFHQYn3/2'
b'qfOdQO62BETAHEUA5ThKlEQE5LTrsO9X3bpnJAEN6dhJcun4+vaZgngNzKlb+YEpKCK5EMKr'
b'h7t3H99sLy8PQzoGeP83z47jYbVZA9PlJXd+NaYRBSUMbnWRjndA1HFK4z2Kw4TDPj27/wRA'
b'5fgKUaOI0xT2KT5gClEloianKjCuO+9YAMR5dNTFKDIeQFGs865qfP4cCAWUvdMhWH9utdwJ'
b'BbIqV+2JUsj9ZwWtZ4WIIqMgxCjvPHrSrVeIGo+H8XgEKBVvVQFdiNqv1sdhSBBiTPevJUX5'
b'5JNPHm5f/bNvfu/i+vEQ4jEqKSZVBo5pDMniI4ARO+aeiQi858urCyIXYxjHo1NebVbjaBir'
b'RCZRknPaJ0akGKOqbPrVMYzjEIdhJMcpjd7xcBgFQ0L03t/d3b569eLmB3/mmTrkJADsQlIJ'
b'o9c0Sc8t7racz6g2/DbbP54QqunnWTQ1MwwGTAKag2pESBXVuuamIIqqQMhQS+pCYW9FS8Zi'
b'biQENlFBEac6M5aXVGZbiCLlwKFihLCRp1i6LBM3blCtEfZgJo83w2cWMkyKZTREtPwktuRR'
b'BkzFsnsebtL0kalPVqF2Et0a2L5pOzRrJxmGNiVmJuJaJ7TMuXrqSyQWTEvQedLk6ea+aSaT'
b'wtCC6w0264XsDtUo27C6Gor+JmQ7CwcshdRK8DwDqmpERBXC7ArMEX2z3yqUPfvdXvqmuSz4'
b'89uGQ4G3nbb2WtqZ3joFAc15xlnyOGlikEBZ37bYKnZAYy+AKuGJaKMutuGqUpoBZ/FN8z+r'
b'ybN2k7XnK/4QkQeIGceMEc+qA9nzDmnVrbebFGOMwzi6o+9cGvaj5857ZibuTMcncqOV7ywr'
b'0kkOngIdZ+uyd+MEASyG24q31FxZItcJvPlJnCBGVQAt+N8KjgYZ7700V72vxRyj8zowWrw6'
b'BNmuX3sAQ5E87OEZqTE4TOR68sNUKbA8c8b8PJ3ZvHHJaAnKGaN4bS1sGeUwf+mCCICpygU4'
b'VW2rhCWn8pcdQyzCbjMmTNppk35AlJpir60vqP1bf46IbRkrKHrs4m99V32ynpfTM2UTqcvH'
b'ksxqIsgMbcr4i/CP+ur8lglzy6a/gW5XBK4zpBIZP3v+hAxYkonWVHi0cmYWeNl4XQpUbUcK'
b'N5lqKLd8U5ug4mnyhMysk7/aMD9ZI8rs6MZZpWAqfdBy+VfIEXf1jFQ216xl2t/FUA3YGw0W'
b'cjW21mC8hNH8qpgJAJY9BIXuSSkbm5/EEuwKjJiKtUQEtebn4cy7Ima3zaVdUFDVJBARceyZ'
b'PbBb96v15sL3W0rhk8+eH8ZgsgAABFUJgQvWud45o7feP7559OTJ44uLi+PxeLi/CwfucAUw'
b'Hh8EUNBBCJqSpJSQ+t1hfzgcJI27g9OX8JtPXxwP42Zz0a16csidJ/YBII4xhgBKxzAMt+r7'
b'FSKCZFXNEYUwqKautHsnotev7lddz0iOCJDG8eicG477EKOAxhiZedWt9/u9KqpgUlFkN/SH'
b'YQDGpZekbtnkU4FZ9EBhX8i5tjk7d3FxwewBYAxHiUk8mS4IAN77KJBSEo23d69FYt/3znWb'
b'3n/4T7/46IOP//CPvn/16N0InOCAiASYVLrVir0fx/E4BtO0OiQBHEOMKTGB8z0pJAHn+5QS'
b'gBAhMyOpRjsB6NwqhDSGNI5xfzgwu939w3F4ePHZ82G3Px6PgHx5c/3jH//44nL1g3/zLzUv'
b'2xT5oJIQ1LUNv6AcwgZSSYsC8PmvBblp6EtVhfM2iBjKQoxRQaKKI2BmpFnday31g7UIUSXa'
b'eJIYGnFgWo69OW8zNkS5hJdWolAsTAwAlDMHpsyqRaPBdpmVdiSxtorKxMyMjs2eTUCqqkmy'
b't8AKamIpYDnXJVTVSiajVYA52ZQZa2x92Zo7HFcdxr5owVgke15suoIiZtkcc7kZcs61oQWn'
b'14LtLeam5nR5g7yfM0Sh4KNKFdLbDdVmWCwpHFVm+vyXMUKTDcp+sYLVi9A6k/rSUwSuH34r'
b'uf/cl4X3fN6CnueWXHlTpV9v0gROyNwZvpV17HoucP5wpQNVoKmMS3X2zCR8NDmIWEqPmwJQ'
b'byKiiFXxi+bNqwnTdd+hOWsxiZizAAnYurFoSgkZAdB7v16vj8MwjuNx/4CIQAyEznXOe1eS'
b'Q0RidkcUOzGAtfOA2qOrrig1Sis2y7FnhmFo9wincOfl9rVeylIXaUL1hchYpRCdly6p8GwL'
b'm1gFjKLqT+EuUGquLw6piFVFznulUCNhlym/UuwtZVuLNw4KvYBcRq5ukKoCcn3fVLWsHtuc'
b'+TvR4QlNG9t5JT7VDEGl+nsL0lIiaRJbc5sKEas2Mw3ODABd8crWlrSzv23NnKqoTABsvrJE'
b'LMsIMV+xlRMutfrb3UREsGS/clqsFhuoElIb8wMA1u1RiwegvaAhQZUgaOFfUGh+vYPziHxs'
b'9PbFAuvnPHhR86Rkj+deywhIJAVF4UQ/bKfUks2ZQwkALLYAp3N9uiI7SSGK5HZsJZWYinaK'
b'02GB5jQZohIR5CANNawyc76qTtoLALlcRGVxbFt8rhNvF3sy29/CGuoO2mdRnYSZghJlbkgq'
b'WHUEVFXhpulNG4VUpJqqG2sJehUC6R2vmAkRUxx2d7vDw248jqgdoUJMKYzjOI4jIjqfc3KI'
b'oCPufXfEsMPxuOtCCOlw8I72YQhhiCoP93dDiCklJg/oQorjcQCNqBJC2h2G/WEMITnCVeec'
b'4ngY7u8OQYmdBwBCC3NiFuuElZIKM2sIm82mc8zMF55jjIi62oyoauES4zFQtwaizq+G/U4k'
b'JsW+Wx2OY/bMEFqvQesirwjCb+d6yyuT4oyZ2WpweX3FzKCy3++TSk4WzM9DHI8P93f7h4Nq'
b'6joHHi8uLvR+9+j66tNnL3/0l//5X/7r/+H6yTvrfn15eY2SxnB0q3XX94cxhBBYAFSDpHAM'
b'UcR56th5xw7JOt3mOtoCGqJIImLnXAhBEfbH4Xg0rSHd39//1x/98LPnH0uIThEBgoLz/ng8'
b'fuGdRy43pU5m3AshREmK4ubH8v//C4u5vX5u35hJqYXAqgiCWu38uRCvqpAbYCgAAOVYF6rp'
b'8QAAlr4JE1PRXOQnH+Zy2mwalbPC3KS3mHzLgN+yTOMoMUYLX0E3mdixiJaAgqX0SJUUsCkb'
b'B5k0A2Ip01K+WiCuNiGYLZS0kddbElYfa10TuhTucbLFuplmeBZJTm8u3k5Nh1FoyFzeq4Zi'
b'VmPIYvIMKHOJHHGK+SEVILGiLJhrvZ+fZys0IBYvUMaKZvfPnwX9PYrtfJ7L9lpV3/DeN0Ie'
b'WnMjJPx92wJAgx7tP8092pbC0Sy4T2C0n5T6gzMLAjSiMMwtzVqqaFWkpdLI0CIQnHNGgqfy'
b'WQVX7QzGYOarXEbTvIiIyEQiIgie3Wa9HsfxOOwfHu6SyhiDRb8Rdb6nXCJasTXnA+QoPpHZ'
b'cVPVWprTtqOeEbvDJ4LaGZxv9rEoG8vEmAXo2t/Wv/VMQanjXu5bH6s8/uQfKKEaiy1uIW/B'
b'0+2SK8B1UioaGiJL2bHYUpaS0PLQlbfbRy0xSBWSFWHaQRCR8LwCkOFmo02DT3BuVz3hZNFL'
b'6+vqem2g+t52nDwC6OLbMvQUCCfz8PEKh/qu042oOLBc2hyGrSqyQLDT+w12nRm2XdRsHaXm'
b'z5R7kL/Ji2JLDEPCBsmLWW4WC7pYV06lLqkl2HCr+mGxogp/yNiSC2nUPWrwfzpKpTiYqJUv'
b'awY/S0vPfquqljy8uI9zm9Tvd83gM9WEqwkvaqJ96a4IJZ1nAktrLHiTPEtEKQV26BjHcRgP'
b'e9D0cHubhgNKVI0qSVLSNGAciYDQdb3brjeXm+1m3Xt2gBKG1y9fHVIKGNKq79h5JRRyRwFF'
b'NyaVKI45hdR5DoFDikMIArRab7/61acf/tOvUogO3Mr5KOpc160vhpiI4ObmZrO5iDH2zh8O'
b'h83VZYzxnXfeBYBXL1+kMThGEP3sxTPvt0nT5eXWEd/f31NCIhpj+MLVoyCBiCTEzvsYIymk'
b'lKIKICvhy1e397sHyTk/J1twTnqBxmBhtDwJAGnfrxERFHa7Xfk5oCixhvHI3hHR4XBIKY0j'
b'q+LTp0+32/Xl9fV2u/30xe0Hv/7FN77xjS986WuIGGPcHw/HmMZxVMGuX3l2mpKIxBiCSBwl'
b'uRiSOsDokqpYAwcAl1IMIRCR61UVQxqHMQZJMcb1ev3i+fMPf/1+55FULGiNEcKYmKyaEIiI'
b'Qq5aM4ajSEREV9e/IEDU0P3fCdlPkLLhZ6UcEAJXio+iWlQTzl04iIq4T4hWvF8R7UggWlkg'
b'BEaA2enFbNcCIIZcpBIRqdS9ZhQFSLl5ZF1dRgWq5E5KjKmqompMqdUTKrpMnwFMfEkp1U6H'
b'ddVZDSGF7GNXAMCa2YNNdJOKNcVCte5DU96Sai0zUthtWYHAjHqeUPasvMhU/LiQUtXaSCWz'
b'UlVjtBaABXPat9jU0/sVPhMla67yzxxQk9ebUynKXmhORZ1+1ajb1WIyG7MsHS1446Std248'
b'nBP+G9Hf4ovOqHXSCt4GeUSxKvKzmJkTreC8fHDuqsyv/p0dm5xw2zS9n5nySi2s3Jw6TcVL'
b'Ad4eEdRi1OlFCpbYJlJLzdrDCYr5czaU2gTbuLWl5S9GSUmJFHESsStu1Np8NoGUUlUbWhlI'
b'i8VOQFOKkCClkGulE4Nadp6Yhr1adZdpA5r2x8Nw2AMAKoGoJNxeXrnV1nmfEiJaZlC1rSmc'
b'hFjUdbXBOQ1YrHTWGWG9jJh/IKmw93Mmz3b8xXvftIPlAaUsjBWRvfn55AxcWOgbmakawqFR'
b'1RBzZSFsRqtH1HBP82EqtpXJHLF41yQI5n3UZPuYo+6alsZY9Ku63S18yFqhNCFPqlor3+sb'
b'LGjkVQAAIABJREFUhMgFqLPnBICY8RTac16HiFByAwzaZzcu31SwdbWCr0GgndJCM9GpZI22'
b'ON+GWk0bijlAuS62hZLWfINWraXJI9Tyr5xNfkKi83IyeBEAs0capmH1ROFfXIVizLYPEVVs'
b'hmT40x78hUCGiKqYkiJDLSZWsG/aZRGxGI/qJhJrKlrFaURFTAUCUIQ/LQ7JVAoJaNHTWsAW'
b'dXrSXvKmvGHtZ9eyfAZAEURjWapC6b+Y9wsQgFSsPRLl/IiUmNmwKdNMhIbUt280lUlR0BF3'
b'7KIcZRwjqA5DFwOIbY1seuq3W++u113nHXWOAGAYhvtXd4fhmCs0CwDIpuvHYS+KQ9LdEEUx'
b'peB9HwQIHWNgwFFhvbkUTYfj8IXrx9/+9rcPdw93r19noQLw6vLm4vrd+yGNMT168qXr66vb'
b'29sQIvabd7/69SGMf/Jnf/bhhx/226fvvvPOdr356U//8cVBVhdr7/nf/ts/v9hu/rf/9X/5'
b'6P0PHPHN4+tjlJcvX3nv16t+P4wdmskVHXfknDSYb6y1YnXLVqrpoAWh7W/5LYmq9952d7d7'
b'sNxu22dVEEkeuOtcSmkcx+NRjscjol5fX18/6q4uN77vorj/+H/9+//xf/qfV+uL4yij6HGM'
b'D8fDGAGZvO87x13XAUNKIYYYRFeeg8TDELfrVYjjGMQRM2BKCR1AlCGmIQZEIufTMEhKzz/9'
b'pGdCSX3n0hiQUBA6190+3G83K0bLXhQTqKzoHKK6lm7OOO5bUPj3vQygCEwlZb59DQFO6bwN'
b'22gNBqqKTETEzFDprFm0mYgIiBQcTFUXrCQ8NuJL8RnPzf9vmrA2Tv/2yfrZ0EtKHY+plWeL'
b'bQQERkpMro9V0aQ21ra+tLkmblq+bYm+qUnYWFt1LqW1CgCcmKCKbDmxE/OTthBoATLxpwka'
b'Z5guIkpJapydwxMmbX+zq3MhXOaxpqNrWIliXbwka6Y5aBsXIy94Z1l7qQSaziB45gGKigKa'
b'FNiEC5hpGm+83sIR/79fC26dP2MiZXlDhPEbryKLSundWy9oN0VliS3z+YiIpRIWhFmKBfWM'
b'pJRyJZbKyMvfhUHdrjb2bJpb2UdztYUQYhyLo4BAY8Vb59x6vc5JtJIkhjgcD0QKFELot2G1'
b'2RJZqAUpYSmGwwAApeYg1HORdOEraK/aUbXdl9OzjIin1bvbpdUdqb89kSOnOTSoLu0PVXNi'
b'Zf22jtwa1+1De6du9OLt0BCHxUxsvxsaKKc/hCy8TaATESxNGLSm9p6IoS1kptcV1X0hQy9g'
b'AgXaOhd52wW2dty6/LPnd5L5AKjxSyzwHIrHbNHKDRqkbW9On5sBZ/y30dNaDKnaQl1X63HC'
b'BoDtrrVQWpDZduF1O0pCeMX7KShIFzS8YYhaa0CXjF47OTgPAWp/tcSo+flSzaZ4EkS0AkAl'
b'xE7sXcusIQBgZgSMMdYy0y3kJ+iZ3ija/lZPCCliifsrYuIpWpY7yx/a/iJiVYN1xmojop/Q'
b'mFRzDYh2d1B0YYEVkZgLOlTbtk5ihwWFIgEDSgDnETVI3A+CntLV5dY58t57z+xQYxyHQcL4'
b'8HA4Ho8hBFFUQgUy3/vleiOSDoedIpBf7QbZXD69uL7x3pvIu3Gkh1fj8ZDujxFVwu760fXr'
b'168Pu/0f/fE//8//8T9129XhcACEw/5+c/Ho6uL64RD71RW7NfAhjQ5Y7/dpvb243Y27o/j1'
b'1SefvX5yQz//9ceb63c2V1tAubh5h1VuHr37m/c/8qv1e1//wy996Qt/8Rd/sTscxjGmFCAm'
b'TWkcRyAEYvZujAHagoef75qetxoBhKrQ9T0piOputzMqVDGAGKzXGACoAALFKJ9++tmLFy8e'
b'P378B1/5MinE427/6uVP/upHf/qvf4DCkOzMMkA6HIa7+x0ROWYi6DyTgiOEJI7YOzeaexsc'
b'OgZAYmVm9iuJewUJcWSkdb/yCC+ffYogjhFSTHH03nfsxhQ6R6bAqJY8dcQYo0UWzUKAqGHz'
b'5dj8zjJNe7ztKieBAAmKtMrsCTmpSkqYGyJaiioRUUmTh2z7By29tkqFL8ppgIu3VCkZ2QEI'
b'SBXgADH3PQVCTWbet7e4llI37DOzVlWLr88xgq1tJptIivmL8uVK/f9ZB3IpbgIFszpkQg3V'
b'/FNMWan4HHITBTVmnoioymyVjgBk0SsH1DfWCUS0LA7JyonLlpeiUKhGgNznyd4LkkDsV5Dj'
b'hJvNLLRKaz0egqLAGGhKTh7XTQFgANIcTGyDVRzLHEU0l1TTpR00k92U6yUA5NwMbUIzAQBz'
b'SH2uJ9m2DZoegcpioeYnKCwHMT8EgEJuGWjpFWh29xaxT70BC04zPfPbjpE2YD4ViaqgkJPC'
b'ax4Yo+YQKAE7Yr/t0vkF7d/ygHERRYOGWTfz0JXBnworUPrXTONkkUK0hFzP+LECKlgdISlK'
b'/qlOvpA5kL0mtTIj9nCMghhzPYBSPLFzfrveEODr+1uIIeDAzCMfRDSKiojrvGUQ4jyhmHkW'
b'T6UA5rfIYkdLLQtfb2Ws+m21ZEPB8xq9M0PvE6F/AcC6ZRUyjZSmMB1knQ07V6EBcyktKI1I'
b'sKTnWNoQ5XrwTfgQIloIeIOJCDmNUyvpmnMPgAkO5bzPIIOIud4qTWBpodTi1UTScxwgkUwR'
b'ngqmqU9gKYufjCALBgEAZArbPAgeq+ehAKyZAABAZYrQIOdskpqVW2zIWvtw3n2pDTdqBkUJ'
b'/W88IVpcYRUt2xOXkZYIFZI2haqLU6UNcNK5ylcHaT1OEzWYEM/mbwTXlDYFgKknAr4pvWuG'
b'uhnsWlSLuYZZ17sIScr9hbP/vlY+zefASLRrlDcqKQqImM1wmNGzNfPVueV3FQK1PDtzDUdK'
b'540JGxc6aqUAZwBCTbfZ6cJm8lA+FdgSUObQCVBElFRVWqpU3ptXUF5UmZEAWo/xRBwvLr0E'
b't73ogcHhKgxjDOH+4WE4hhijiKBqjBEMP8kDoiZmcr5fd+zeeffpqxefDkGiptv749XNF77z'
b'vT+J6u73OxwHcrs43KcYBfDy0TsK8PLlhzHGGMdf/vLnP/jBD779/e/840//n5snj8ZxvL9/'
b'ePn849V2QL91ju72hwSeuxWkFBNGkU8++njV+6fXj97/p3/6+a9++eTpO4ng8ubRyxefffDh'
b'x9957xub/tL360dPnnarNTpPvovHg/fI4GMCcuhMYQMqkJmzqhMqXfa9+VtrXTdX3/cAoEl2'
b'u10SsfB8NPFYCRBExHu/PxyJrMgZisjLly8B4ObxE+94u/K/+vnfv/fee+986WtRI0rEFFCV'
b'QLnUXDFno2NGlWEYRoWu6253AwB07Ox+SomZfTcw8263P+zu156vL7bDMOwe7lQCEhzHcd2v'
b'UkoxSYwCzOt1P6G0oJIpAAoAUwhQPQRzjmJHZamaf/4r00GYFXZERHKMiAlURaySKxBX9gZZ'
b'mJ44Ykv4clt4xNqQRRFUMJGSsokzREYWEgBXQVwQOPe+tckRNq2FK509JYuVEFdoLNBICzVx'
b'rmNmbCyaAADJTPA5TKi2klpSpSKIt0F+Dd1fvq7+sz6zoLxGMXVydwjOKyJnsBSBMsZIoKdD'
b'velCo+5ZfM1ddBFAARznz9CCbi7inEWqSkm1svnpAOcncg4lCEhS+vwR8GgUGU8kbKgIZs+J'
b'tVW2+WeBgBTezvM+D8Rmy4SlQjFN9JwOcGZ8+e1+iTM/aSagqlBd3I1iZv+HOTtsJ9/KQG9Z'
b'eFbXVXN/vHYVmiUV82K9ZcrtMfHeq5UQBag1supZa0U351zf+21ajUOMcUzRYxhijFEFEVe4'
b'KQoAt6f7FOygWO0OC6s5NnJnpV1UCHolJhUIi/FbMaL2BaNz8dlvud/OB7K0jzXLon5V7cTY'
b'6GCqCipV52nlkrxTpwZRmkTbs/u+oI2tY72l4cTYSmb1LxG1dbsXc56UmjnFPp1GVbfaodp3'
b'zfWo2fM4+9UMyKfjL95++vAssKrZ8wqKhRNMciFRrgO2K29XgU0A0oJrEJFzDgCipPbmYtew'
b'YXnzD3mVAKAoKVdbrQny5bCUKm2nECCycEJEhMrX9JwQBkVgavUTKJicUkwpWdHzsnwuq8DF'
b'oiY8seiZpsZUW0633SCE7Cw6bdqjU8cAk0zM4tae2jdRLSurfcYcg4hmQDQbaJs3AsqIOW1d'
b'hRQZlMD6Qk373jD6LJ5JK/0rSmkFgCmpd7xabZ6FT8fX94fD7jgOqARADGaE7f2qc86JSCw1'
b'Ui3Y2jmHyGOIv/jlB8y4G9Pr/cM3vvnd977xXYGVKCErd8Tj4dXDfYckvHL9BRE67MbjgblX'
b'8j/7xS/f+8Z7H370wYvb281mc/P46XBMd6+e3Tz5Ysfy4vXd1eN3HfTPXjy/vr6+vX/x5PH1'
b'ZtXf3d+KxIe7229869sffPrJ9urSOwpD/PTjj+M4Otft9/uf/vxnAmJNeQEghKCgABQsn9t5'
b'570ilECX8zzSUOjMfRBVQiTVKAKCyJ0nwFj6uwMAoVOKCGrK6n5/TLWzRBiZOwBJKd3e3hG5'
b'q5trRknD/m/++r/+m0dPEnrnOh3C4TBEwL7vibnve5XoiHumde8dUQzDGFIax93huH/YpXEA'
b'AMe8WnWrrr+43O7v79K4X11exuH4/JOPD/t7TxhjcI4sVQAAfO9iENf5gpaUS8sksf6ebskP'
b'JlEm2xrfAsE3XfU0TozEhAYikZlRPKXEFi6iwuywmt9yzR8k5pwOD8pNaRqwKFIRphlxt5aY'
b'leOqsStT7YgAUEMU64ttG4YMiKKKyKpgyRPZ9lCI4+S+1AxGzeYDM0dBkBglARMRee/tl2Zw'
b'FuvzVuIWkhW3UjPi2mGeGQUr0dEkRAQ5wMAa+qKAgkQAM7RLIbXY1oKsrKWScouXsJsittJp'
b'oxERiLWIIFLmM3mWaZnO2260RYwjWJsW67wLTAiijlEUFcExWtwJm9/DwiAzkEBKZRieYkhq'
b'XLIFnGLmSGIGM1EAFcMobIxeZjFymqX3eaW2CSyVgGLFRpgJNAkRUQCYFFJOcSMEIBRtI+Nr'
b'ZAiAKQ2ZkeOJbLS407JbgFycUWAmVRur0Em+0Tr5idwX9mCm6bdlqc9mAmjBxCCqZJXj1TrS'
b'gpifLKXkCNg5nYkg0s6ZkYCTSO4trcVatmDGRND3Po6jpqSlBouI5PYKVnfLHF1YWhiKeO+p'
b'5LOafIAKVkTLOQcSsVjrRaJqIiJRoFiMwQrMuF6vGfW13o/743H/0AP61VpCGIcdEXTrDaGX'
b'FNPM7TATHPOu0VTDBxd1fnB5f/qqgfnib/1Qz3st9wkTBc5SZp1PO3K5iQa9RvTJ814sobV0'
b'tuMgsdagMCyEtxRprXOezv6UyzDz2LSkEotzUove0no5imo0S6toX1GnV/BnGrM9IJDVciIk'
b'KfQQzcGAlFKw0s8F2lDzyxdb0JDKZpnVI0fmUVAuqFtnuFDqtMjuMUZUMPlbpNY305r3zIDA'
b'WT+UQjGwCMH1n2pV/JtVqyoBMrv8T5jUQsTJqsecCz1L07Wt7o6Uev8tPa+fsyCuQAqpNGTw'
b'SGIEPOuiHGLUueZghWmMvBCRIEpKxpXqcohITzC8Ik9lOvX5GRuam8NiTOz7FLPa7HI3gDKm'
b'tRwWMSO3QTJKEhUgtNIByRqTNwaR9u0iwpwz7fNLM6osMiIm6NVzysyxJBRxzkmjqpjntQCL'
b'jBZmIqJWzpDQJQyICAJ930McVJGIJNVAL0TGJCGmsfcXkhQhASQqxUmLPsaAFi9H+wPc38l2'
b'u0Xu1luyjFVEFElEdHlz2ffr/X5/HMYQgsSUwig6xDRICpJgc/nk9v7h5f3w3/2r//6LX/lm'
b'EkZ1OMZ+s45DOD4cVOJI3veXzvcxDOt+u39QoRX5i89e7r70B/De177145/8retuImC3Eu/F'
b'wTDuXl6s172nMOw9R+911bvtptuuVv/7v/t3+93O+T6hvHq42150686/frX/5U9+sr97tfLu'
b'/v6eiD579kxjIoIwjJlTAACxiDCyJAAlIOecq+eibhOeMOiWqgAAo5VoZjQ2w15VNab7+3vn'
b'HCBafwYQcs6p6ma7fXV7C6BBIjOPIRCicywCx+PR7zwxqMpHH334k7//aXf5GNkfQowJ7w8H'
b'IlIERrq+vOgY1t4d97DqulXv+85tt1siOuz3L1++vLu7W626jt12019frC97ur+FZx/95hev'
b'nt++eikiSRIRCQCRCCQCp6pJpd+sASCl5J0XgbV3h8MBAFDBtcT09zTy/+5XPe2ZbbBHSMQM'
b'iK4xRxVCMP2qTlWLHCdo0YCaQEkVp6ZRWYKsg6lq0WhMAPKI2lBbs/ZNKSN5evNX2/uh2OSg'
b'RP/bP5l9+/ams3seJHMObBJTZiuaBIJqi52ovxRRb04cWxLfMiS7sjox8xJI+14jylrijhxh'
b'O2mbVSsSzS5Ra/1SnCoJFAA5m5lzw7MzVrryipl4gZlmvVXhNH4jiqhKAppIrDBF9RKct1s3'
b'/yQLALIXq1Bbmn0i0Ob1ZgA1FWTyRZy9Wqal5+3ZZyjO2xfa4sApwQKAWlX6d7oQEUEsLz2V'
b'V8A5ClD5dJ3tAmPtnxU96nYv3jgp5G32iE5vmSY2j8ae3VGApIyZuUI5pCbutENp0c7t1Z7Y'
b'EY8hDscDIjJQGt1oc+oAikGxvPSMubfisD1T47kBKkWZZmtX6xloP9ScgcXJPftwdSlIU8W8'
b'PvAGlGjHmY5em+wLc1rRLB/bCbTArH8dTeaDRUQTzqunZyDIxHrrVwCARW8/XRfNC+ZUHLCN'
b'qF/JPN+pHRzmSdXavGNxhFtHTXvV90qTgVrX1U5psQt59+cya+sEQERuzkh1vsFCMWv8OflJ'
b'VYN/XX6rfUGjSLTvslLTszGbKZ3SSTtKlDIRw0KTDW85N8zKglRKCcEBmhxbH56dX4Ap0+Ms'
b'xpadhcXk63tFSqfELL1VpYKrdbylSyKCpUVWHbP1ZZWZTJlI7bHNPBomYlWp3DS9JvPtjYew'
b'0RCapyY9HBFp5n4sKjSwkmLmSmjJFKVs9KzUEgDMG7kYL7OsR1JQJe76bbe66NcXTkVAkX1I'
b'0TvWGKFj4NUQtVtfiO6P+yGFUdIYhqFzuF6tun7Tr59Gt3n65S/fPPniMYJjC7ZhSgfWcP/q'
b'BSK6/nJ1ec2ou4fX2+32sNsL8Ciw6lY//+Wvvv/9P/rk+YtB6GJzgRJ2969jHF5+9mHqLsnR'
b'cBy9R5Cjd+Cce/HihW3640fX7339a+FXv1h37tOPPjrcP4T7PUHWXYfx+MEHH1g/uK7rpGme'
b'KKAOgBATaEoJ/JkT+uYdm2CrScy86FxnFvSYxnEcAQVKOWkEkqRA2Pd913X3+51jhwpExEQi'
b'CiAxyvE4diu/2a5e78e//cnf+PWN67rrJ0+jUL/ajOPAnXfsLi82jy4vOtIwDI7ROceADkFS'
b'fHJ98e7TG1XtOgeiPTtJMQ7jT370o7/98X/zDgGEUJ1zSaOqiopDSmafZd5sNqqIYE1ORVVT'
b'iIxKRNmWQDPxRAAU34LXv+0qUva5r7JA30hjpExM6IBIQM3XyE3VM+O2ZhFEx5hr/89b/6qq'
b'CFpLSc5tGhqyjvnAm2EACFmZaw7yFANaZ1gL/6slIlDmBlCMa9ZPN4HGEq7P7M3qAwCpWH1a'
b'lMJisyyEPqmqFPgjokIp/QUAhPafZtpV2FshKMU7WZmuNDRQK7GoCkCdRvY5TKYuMTeoLRnZ'
b'tXMGABBFqg13JqHQwnJbsl5YaSyzFSNbqIgWsSgqhXzb0DjnlDnrDMykBIUsZrKXsosgTbEe'
b'9e2qpXFbK6FaOBmBqmCCHNNqX+eQu1YNgwZtree8NQIvLCohuvbhPJoZwBpsV5gJWwAgWLTP'
b'eYcv04EKt1zkGJS8F2NF8PZLz5+38v7Fv9vp2Q5aYY4WEGVnq4imqpMMAZCQtKS2NwVMIBFo'
b'0vm2AjCzIRgzZxdac37zzxGwlPMx7y3MpSIb36pYMHOMuahL13XYIFDZL2Oozvve+xRSjONx'
b'JOqYwljnxt4DYDbuYjEE1GlPwlkdXHSKPNTKpxupEQjOCnOIABDnUnj7LsPeTLDspkzFzqdf'
b'qVEMRCTJmg4ioNmLa2y9PXsWG1qy2a4Rm7qfbTzMJIbO4/eoKTnaLqeCok6hhUAWW3NOzvI0'
b'STPU6chUz3pjgAdTghEjTCbYXOWpXAA5QYGm8jAoWFxPqkgEqphkAn6e8WzmqorAoDS1YrNm'
b'UtYzSAFQXBOUWBWMlr+Y2F53swXOwqtQ3duqZtvQ4vWaovztar0HZTR79bIoLRTklJnja4YY'
b'1mGasn1tht7Zkd4UWyvsBto7DQ5YtEk5YrC8KroiopUHrIOpKmVXCWhT/bOGSNVD2qIKTBRg'
b'+QDO1DZVVZGZlF+v9mC2oDt9sk4J50DAog41j+WwuiJCUG1khohi1ZXEZUKAQuSkFgtBrIE+'
b'qsl816Qg4ABKlWos8hUKGDaDuB7BJ+EQUkwpqRyJXAJSQo3KwOtVNx53cnjQw52EgYjWvvPd'
b'ynVr120OEbY3jy8u11GYBZUxITJDp8NvPvllSqnrN+urx8AUjndAAzOyx1Gj9w4cvrp79fL2'
b'1Xe//0fvf/jpYQxdt0Y/3L78bDcebx7pq08PMeH1o6f73d0wpr/9m797/fL1e1/71s9/9o8v'
b'X9wm+XmK4+3L5/vdfRxCv16F4ZhA2REIx2EEVUIMYcoHI/ZWtyiBqiKzP7VdamMemt0skpXW'
b'TVIAAO993/cqMh6HcRxzDgpBDoyvz2zW8vIzAIoKzBxCIiIU2O/3MaXH/Y1zDuCo40OUxHKx'
b'ex4OQ9peXW0uLm6unjx9+vRq228crvqVeidqicUaxmPf9/uHuwTS930a+PJiQxIJ0n/4D//H'
b'P/zdj3tHvuMQBgEVCUYZHLMChDFw79frdb9aNUwBVHUcRwBwBDNp7xSzP//VvuD0JpLWlmxY'
b'kN4ya614j+JkX8UmsK8SKfPx4TkjByjVOu2ZTxChTtaaOo5IKRlD9RlrWpklj7oAkXhKZLEJ'
b'ObWQwWofotxkl0Cy9A8AbSx7fqxpP1QNBIiNm6M8WXucLQBbHVgmsleD4iSBTdQw32+ZdP1S'
b'53JAG2kA5zChjl9HMybRzrxy1jcNYqeqpaEt7a5rbzni6VeICCBIRNUdMn/FYnWLCdSiCu0v'
b'F3PIAgEAJlEGRCjZyQmQT+Uq1Vldi7MHAWAp/Tf33/B8YVSLnW1n2zLi0/WeubCK+YWzQyoU'
b'T1t7pOaQhjNMtP5thTBVtTrt0mxphYZFmtpFTf87LZctQIshR4uQN83EGjhL/op5EkBTSl23'
b'YmbQVn7Ks7WiQCJyGI4SxxQs6Z+KwLHuuk5hMtgv0O8sGi/+efpMjLEOeHa0CsxKZKpsp9V8'
b'DrnzVl1UZTk4l4/r37mfahKGTgOTpp9U9tkg9ml/g8UPWyJcV9QGbCymd/aqP9eS2CMq7Zjt'
b'/LURH7FRM+oMm+jqeSZ3c3Cwwc76lmktc7+NNtWTYOIRE+ZXvLVLLNeNZlZePKfJLFbXPnD2'
b'mNdxTje9Mrg2/KzF/7qW+pPFOPVX9ThTgXQCRdFUum0gohJy4eBE1jNzkp/aRdXPi7g4xFKI'
b'eX4WdGbRKRK/oCbJTSobgz1kfWDphzEurPNcdphf7XtVZw6KxVd1EKjqROXtv82QfPZdqopA'
b'ALZZDmlS5xrsAyQkcNZ9trxLDcgKSRUhWbcvm0OD7TN8BABg7xFREJAIRB17AJAQmXnV+57p'
b'/yXtTX8lOZI8sZ+ZeURmvqteVZFskkWy2ffM9MzsSmqtRqsRJED6oPlnJWEBCZAAYQVhpAGE'
b'1dGanumDzSbZXcWj7ndmRoS7mT6Yu4dH5itOSxMgivkyIzzczc3tPnS3e/306e3NlVliDsLd'
b'0cmp9JuoNJgYCwlFcCDuiWC63mx0ur5+9c1ue0HSnTx4O3EvQglTYE1mYdPp9RA6BrA5Pvv7'
b'X/7yr/7qr+6dncWXr6cECpsHbz8ah+tvvn7y8OFDCaurF99McTg5eThc3R6tN0+/+UpVYTrs'
b'dte31wydhtFNq2Ocrq+vJeB4s1HV25srl5Jz3J0UP3OpECMipsWSa3N5FGv4NZboWq4sC2lC'
b'v155fOYwDLV4bsYxmBslJk1HR0chhJSSY6jzu5TSqutF5OLqJqXp3tnxan38zbNX6Wan2y4Z'
b'v7x5/UrC06+Odh9+/OjRo9Xbb6cQ4hgTzMDMHFbddhqlW1Oaxikmm5gsmP3t//xv//Ef/oHM'
b'gtB2e7NadaSWLIf/mUYXDlerlWxymoev1GXccRyd2odSvWGuxu2BxnsA+iPR/a5rQQv8AxGB'
b'Qwh913WlNriBPIGamb0nDzQlBYhZRIzdftr4UpMbx2TvkJOrBKTF2JK/nB3WTOymHyZTWFpE'
b't1sTsVpGdikEWoyUdeCavpWl/yKs+VuyDsnF/EM5lt3g1foEzLn3JGVdAQcSwwKUBYmrwZ6b'
b'XqEHfCX5ndVGy+wG7DbWnAEy06pOYGnsr9DL2S6Alvp6eodk44SSYCBDLVtiOZ925kML5o2k'
b'FoW6Ok4eM4f/l0GJJDc9KG5TLDsVeG/N2q3nDVfFFvWgSUe6hmXmuWUfWM21SjCxXAC9btPd'
b'RKRlG3dditlgP8fweP3n1pPgHQxaq2eGT6Pn+J93qBAFhM3KdX622V8zM0tLBUCzozAld7Xt'
b'Lc3MpCgGzJxD4JBPBwD2Ou9ETkoM8CLEqtGMyPYjdvK7swU8qUaAU4J5nWJvFlmcA2ZGZJSb'
b'muTqxlXsa7tkAjASkq4nUtWoKWqM48DMiaS6ATyGqPim8gGhHA+Yj4Oazha+RgRvhYYKZ6JS'
b'FtPuVuCbVc/2Zucue5EtoEYGLdEKFXpasqiJ9iWheTqtEUFnLw8V7PDVLJDnoDZRvQ7NBFku'
b'bIwIrUTFByMvRKum6KqL5kwLEdxXjVI/tIQvGop1XBsxV7DIda7/tntEBCKKplZyJ9pV2tLL'
b'AAAgAElEQVS1tA/SHYIy5fIyZZuUMmmqpncktRJDCsALiBmMZBFqMgNEZ42kzbg73M32wXaS'
b'zfS4sCo/AQoghMOQ2nlR2nTca1dd/6WSO1f2CFV2bzEEM91ms4Xqa0WbrZSq0r72XQv0aA6X'
b'RlVVNp7RwU+NV8ixhQeSiBjEIPV8tLYkt85BDd4wFEWxLDHxbygW9IarIn+lBnNbDCv1Fos4'
b'rupFihtuJYHY2bfTMmMis1JbiQAzgbiGQ81LzYzMkk7lK86BDahcxdjgMjAz9/1aIaYs3FsH'
b'QjCzdU9kUw+7efns+YunqtqFlXTHJkEhE6+VQiQjohDcJ0MhhMDUBRLCdhpfP3+apnjy4N2w'
b'OoXSSmw7jqtVByBMUWi4unh9dHp/UoEc/fJXv/uLP/vJy2evhHozjkY//JM//frxLz//7a8e'
b'3L9/7+w+7253yc5PzvvV6svL14hDCCENwyqIgLbT0BGMMY07DpI07sZpu7tNqnEYzk5Pd7ud'
b'S1kxxWQWqCci5zXcdhlqNq582N9iRWras7GZbTYbpmBmu5tbR5jJAEAMhkTCAMbt7ni9uX92'
b'/+LiAgQh1hSB7FNPKY3jYGZnZ2fvPjhZ0bTbxmFMt0NUDhGwYfvLf/zFF1988e4773/43Y/O'
b'7j1MhNthhLBXU1+FcHq86ogCIV7d/vz//He//uWvCOhCMNK+71VT0omZCQy1cRxFZN0HUxvG'
b'0a05nFNkQURTHDxr8Y/1ANg/pQPc+esesWu/FxEOIYRA0CoqKophDgt2Ih6vs5xDS08JwixM'
b'gTnAmJjuXEkdgUAE9sh1auRRmJUeXErk+bW897hfqdS5R5N0lUcjlEpBufE4FZvHHgoSkRlX'
b'7atS7koZl4FJ+deW11KxylcK2O6FlrpDWJr0iKiYjvM3c3hG0wnlEB8q3V+amtB+znOwRdhx'
b'djove5bVAes80PCDzBSbaEsY3Mac5V1SQAigb63PUwE4Q4aJcrfvNk3wwLdrZjAxFLt91mOK'
b'geruNIM7gVYGuxMrtWpH7VAVmHsrqywHzTNmc3bymy4rBrY5kdPMq8RWvCquz/yvewD2YrLr'
b'v3t/qmNFtSPM8jHq/dkYQ3OviQXHLaO5ad9bwYtIFYxa2m1mxBAR2AykIgbN0RpG5L6CvtdV'
b'6jCoadQ4CQejkOKUpkHjujrctPTBsKLQ3nlVdFqyk7oXBRMONnzPRj4DqHHuLc4UsohmZqaz'
b'iMYHZuZ8Py3Qcn96zSNYopk1G1ff0l71Re3J3dMH6p/VMNFWs7lrPnNtSqIZbQ6hvUS/mT5Y'
b'owAY5omhQa29nXJZrYUzzZUo58KUPqZ7clpW4w96NarYdFrw0aSheFboJDOrzVVu0NCKPfjX'
b'rdyDbd2vPeSpH4qVfRFB1N7cjlDl/gWuNte8opz+XmhlE5WY6XYliIBpLdE8u6qw9MlYw90W'
b'8G8hU4w4RHl0m01ks9DWLr/01dJq7l0eo8XSCmRm2bpFy3ZW7RvL94uNs+J32jspZotaduXD'
b'jJAlc0mQ6RczsVGqIGI1rjVb6ggZMrmqss4+7BofpGRkVLLPlbpuZUZmxCTCCCSWInTc7W6u'
b'Xt5qmvq+P7//kKS/3U4RQqAISwnMQuBpmk6OzswsqRrbStjS9uLZl7e3t2F1cnLvrTEam43T'
b'sLu5Pb+3mYzHeBtYttc39+6/O9j0o5/+xe9/98nV1dV733n7y28up2GU9Um3Pn3rOx+9ePZ8'
b'e3093Y5nDx5sjtLVuLv34C3SbRcIrFEJwOXF9Wq9kr6bdgPYhmHoOkmmwqHv19M0FARQIBuZ'
b'HAe8Ek7Hc8f0Fme+zV9OZJpN+2Z2fHzqAW/X19dmiZisOZjTNIDp4uLi/v37m83m4uLCzGKM'
b'whwCm9kYBx234KCwly9frni6d3ry0fvv77bpxeurL5++YvBkcc2Ybm/+8NmnL54+O753fnr/'
b'Aa9W3XqlECKyaXj+9Xi8CtPt9TdPvvj68RfCkADVxLBpGlR13QcAyWwYhtW6Pz8/n3bDxc1t'
b'6ELXdaqRG0/ROI4OgJCP64Gx4a6TUxX4f97FpJQPgNNiUFZXMyEgMoUX6qmhNUxsMOK5XNc8'
b'QlOAj4qoDeNlfgz8hORW595HyquvlPhsn4vXKwQg3vn80LZ6YPYo7CeXOs4AZAK8SCYZcqwG'
b'5zBiFMJvBbBUZ1iFmJnEOCWiPHKlsA4cavSEltDXiIvKHrKxNouxjajtcReqoeExtkyzq1Oq'
b'V2ZURfSuh6pS6qRGhJBLjPuXINLqYahCjJkZpVLZuEDDQMyWWZp/45udc6WruEme8VS0HsBa'
b'tS0Dre4LQMRGRokKthTe04RMZHrr+oKLxO6uKFK8MycqcUQVIG9ClXmDUOdJjff2Dgl+IZ+V'
b'Gc7fLDg9V5bz7VemhjZ3ASsvs9qO3pfoyBNj9m7NfNGAUiVmsVLzKSzjVfzeRrhxpy2Aauqt'
b'//rc/BQXxTUBgSH1gDPUDCnB9Q1vcUKN4byiq9uMi8eOQwhH6w2c9qXJtLc0TRODmMNAwhyY'
b'3N5PNRsiETlOmguyViWYA+m53f1GFKhCA7k3YI96tLCyQpGo/Sn3T6sqDXn5tizjZinasUXA'
b'Vu2ctOehSjOJKL8uxJ09+m9pFqSaWslzlTDAvWPaKt+H4mk7eIsGRUbH3lXvnElZE3JT9joh'
b'v96oCSej0t51zx3ark7JT8uiPy4KffNxuakjx03QabvGvWcdc4Bc1KyQpeJLgkEDuCYNFakR'
b'OUY/T48AIml8IC3E8sNN+H57lUnO80nLFO2KRQePLEBUVlQyX/0IcU5HQa6G2XYYoIbkL7tG'
b'UD591Tp2OB8scQauMhFUtWD1YhPNrFjaFxVI9yhthhjyCWSUOqYL5M8P1hYldahvPx13vnQP'
b'4VF2ub6LSn4Rco8j1waJciciy3/ODm9iDsA4j59R3gxtM9Aa5OBRBq6RmaoyEaDrru8lBOm7'
b'fg2bgu12u8ub6+2YIpG8/e6j9z/4gEN/dXWz1VeYJmJhNW+TSESrfi0iLGDBlFRTmi6fvXj8'
b'ReLu0Uc/2k3MzLuLC9Jx1a2GIVFYx8REPE676+31YHQ7TpPh15/85md/+ZdXVzevXt0+ePhI'
b'upB4ffrg3S09v7l4mabx9ur18enp6xdfqdn5w+Mf/slPf/EPv/7qm6ebzfF33vvgRz/+/m57'
b'83f/698qQNKdnZ199dWTOE5Hx8dazhsK2c9x3Rpz9Z49yrbY03wiDzGNixF5c3wsIqR2eXk5'
b'aXJ6UI+/W5d2w+12uw6hC6GDmkFVS+nF0qCGQGCR1VpZdsNI3B0fH8fhKwRjkWAipqaIVy+f'
b'X758/vUX1PUn9+6dv/X2vXv3vn7yxaunX4nGuLvRcbdZde7PBlMySBcCkaqllAJTJ3K83hyv'
b'N69vd2a2Wq3WngPAM1aP40gMhKIAoCFne2D6Z1/laBVxnEy9DC0RmdtiiYJjPkMkmJmTeMre'
b'+dm4zjw7W2kOXixZd0we/oVGZjqcDfNCsW74t1oGkJvkyZt5EbURpQqIWWL2f+eSba1IDQCW'
b'yaQ2L2qrWLRTOqRfeYxGwchPLn2s1dt+yKLQUCWimaW1tS8PgVMfuYOcHZBF7BH02fhBpppU'
b'hdm1uBqrYIDQwqqxF7/UrmU+oh7xaVl2YIDACmVLJgJLgIDVjD2wwZ9vK/cXYQIACAIkggDa'
b'Nmo52AhDLglcblgYcf4/XHlY+7a+MIdftuyq3JP/tRnZPIjIAGKoZlPQ3d4Athz4T4vvchfD'
b'WSQq/WvMLBXB8c5JovBaoprAmte7h5BVlqrQaMlo+xnl4FcNNqs3mAU+Rwy2XIWNGGYJ6IB9'
b'El8kdYjIildmqjElNY2jGTRZigowmNZrIPSFekghAhlFubRV8nnW5NH9LV5eB8i8yJo4nC1K'
b'SuibJA9rLI5AORxlZFKzTHdQlp7pYBt6hLKK1sG4N9tqwp+xImvDC7RkZj+Ve1JUO+ybEMZs'
b'LrjsiyOi3G3XcoCS08x6P+V4p5kK1ezSCoQ7cKCBYXt/Sxtb3sc23zbHdt4RGjrrl6iEgRfU'
b'uEKJGrPOEgGCJ8gpYov/C5XbBylxbXt7dwje7AQrhoy99/pod+5XhiGoqXlqRtlwZkW+T80c'
b'XKpQAjx8pbwlGcEYQmSltE61Lyxnaw1nqbOsJ7d876Yhn78VTrp34hQAsXExG8006eBsUjm/'
b'7U755bOdUnwTePc2cT5QWFhJSIxsGeSW31hRiBV1u6UUMtSKSsQBlIiIiSnPp3TX0eWKsnBl'
b'ZDAyMmMRAhgsfZcRIEXo9OrVs+3uWlabzcnpg7e+89F3f9B13c1uiLjl0COZmZUcLZau8+IN'
b'LH2cdN2zxuHx579l2P233uPuZNre9swhhPHmatOvpmlKxoTABNU47ra8OXr+/PkUdRrj46+/'
b'efuts6gqgVJKu8nC5t6H9x7+4fNPXr5++dY7b333hx8n0OPHT/r1es0Yt9c/+tEPX19ePvru'
b'x9/7wY9Z4+PHj69uh4+/992//tf/yb/5b//rJ3/4varmSh0SUkoeIh5Cz4yJOzQRiL6kegT0'
b'ACUKEhELJShRrmrer1ckzLDtdhtj7DkwEcyUEIhgSkTjbrjAxWq1VlVL6mxWJJgljcn5U0yJ'
b'hZ4+f/HeO9+5uX59dHRye7sLHUdNGpWQSAIzJ5s6EBHG7eXVdHvz+unn06S7YSWYprEPRIE0'
b'7syMRRxLM3uFmJGqrlar3W737NmzNEUhhpXGR5UTpZimCICZg6UJgMcqwhZWogO8/zaVwBrz'
b'm+bQdyIiJRhJagZUzdmHfd8PoUtjZKIgbm4HERIITBxEqGNmzxN2aRsAjEmohu5RNQ26gAsY'
b'EouYx4xytquZmc+Isx3Xk4DNzKCJYWYKUjVLacp0PwQwc1Jqy58zYK5rRbUEIxYBs5lCARKy'
b'oo0QwZLbWT3hwOFUyEOh5K72e18CL+7hIk6xHmRbCIGUQcbEqmxGzEHEUzgohL5swX7AsRl5'
b'rgWzKHL+w96eqiZAg1CQEqxZJDC0Et781LzjXCS3KnGYIZmlKXqxTVeIF2JQzHtnipQ8pwDC'
b'nKJBPLYhYxGXGZYOOkrwZilBNTJ3yMHBkRmsZKzesAtIxAwwqeVsKWJzywB7ZDobefndZEbU'
b'WKkr9Aq+paK6eREoB4LQfFJo78GWkWcxBU7ZgWxH8xhxfzbnhZfKr60EkwBoZv8GIDdWzdm2'
b'CUSAF7/SrBXAjARQstnkJtlAd4c06VcyJUJSCImRpim6BJLc0g41MhbJJ6aoZHVfPBw/ZQkJ'
b'zEyBU0oe4OFUiQAR6fseQJo8w16YxahyRxabreCQEC2S92EWiBBDqTQAYyYiQQJRUiYiV+mT'
b'kWTrK3Ng1gQQq6qADDRNad2taIOr2xuNExtLR6o0jdtuJ5GpZ1bqOG8oZ4e7ufSfY/qdVPiR'
b'BJBzV/0Y2wK2HoZrRax39pOaJNcS6WDIMcnqfxDR3CdLyaI5RbRixPUQjoJ+9VQW0SEnHBER'
b'uQ6bd6oJFPSfGKRWvRxOuI2YQQvNmXKelhIRLFsxNCk5OSE/mCYicwiIWwGWbsZmQKpVoVSz'
b'oJaJuQd7CGcFzNpGC+R353BuP52UG4cxC1UbgQOufKxhkH6OXPhzUBFR9my77ZzYeBEV407K'
b'Mueufp+FOZ/hUsiu+qqf6L2YSV5E6hsJqUYAwt0MK8e/YszK3dwxs/CqilhpUFAOkQM8qaZs'
b'ITeh3G47X44/rc6Tl6NkMC9R7Y71BCIzRVICkpKC3f1u8EqmzJyyeJGLgKp3OwaMGISoCMKU'
b'O7Nb6QKjBOZlDFvKU5ICdiYzS6plO1TVSjiiaoS3atJkSCnNuhMAj48nYVWbUtJSas/MuCZC'
b'ue+aBDm4Tq1R9pw6Vf+5klHpHtAS0JQSg9wGIcReEq1SfgaBzZRyEJwasxGLY1NmZsxEwohE'
b'ROpm+wCAPfOHYtQBgMZJCMycMuRJY8oNJjI3b7TB0h1SEyZG1/dKELLb68uXz59JoJOzh6t7'
b'5+f33z7anCbukZDGpImImKVPOnUhRNWu25iLYSFQtzk+PlnZ7ssvPt3Gsb939s57373cJoWM'
b'cQpiMQ1dWI9jZArMPE3bLvDtzcXJ+mh7eT3s4tm9s1c3N4/ee+fh+dH1gOvLq5vtLqyOd6bf'
b'/9N/8fiLT7745venH7z7X/3N38j/9fPf/uKXn7569bCnk94++os/e37x6maIXZrW3Um/Plod'
b'nZ0/fOsHP/rJkyd/MDM1FYYpEcRUe+mz7Bk6g5Kh6yWOTvvycW0Mjk0Eo5NNb2fKiJQYkoyO'
b'To6TKhiXN5frbm2aOLAZSScpJVIPCNJp3MUYQ5BRE0AifYwRRszCxGombBqn7fX4u+vP+7Dq'
b'uler1YbIVCNYAFbVWJCfLfZs03htOwuetKLGjGQJZkSipjB4VqcLIUVsY9WY1TZjsnTUrfrO'
b'y2MQQKREjDgOZESJ5k7A3361B+zO642/HvTDY8CNAlEtaiIOgc2FbAniqaYuzbuc34qeflXp'
b'31iYA3MoVUFr/4saXsLux6+WcqgRaxZWDYZIJH5P0hTjWNhJW0+tcK9s6FdVneKELOjPvU4W'
b'cFBT0zaKpkKyfHAja5GidJGlTkXoxUzcyWfg6CsiXhlpuQv7ZuzWhbK3jz7nwrSotXUdbqM2'
b'iYbU8KG93afc3dl7g5HxXDCu3EOVQbZPIYvFs3HFJZbKfTMFZ/YNAFFuA0xANoQrKWfA0b61'
b'vlkUoWRTGhOUPZOQnDnZ3XY1H4E9bqy40hY68beejvpewMX30rTIbO4O01hh97ZgFtHKn+0N'
b'ZokoEDzrrUonzbOLaWb2x0SzMFgsr5SFZwaUiYVYUzJTkztiiw8naXdNMp8+5O0TkTa8BLSH'
b'HllB8rIP9TB6tJ8VGyGTe5YASLZXEasm80R2t9daraHpHb8BrESimW1i3I3RNJKKhGQpDrst'
b'AID7VXDCYGouC+4dMTMjI7iX5OCkNKd7NrQvINb0Upg1sINuwfWe+vY9+Ldh7nWSzg5nWmRl'
b'y5eBLigSpBW/8J3vqjNpd7adYfVF6BxtMq/3EGFaAl4nsIdIXpkagBlVJwyaSimVGrRbcwgl'
b'74lT768x6HTg/6Tm3O3RcGZWjc20Q33FEv4zUa2ief21Sro0pxYsvBDMgTPdTnXYwygmKnJw'
b'u+N1/ENaitaD0UTD7i3zANOaHSmhbkRVSUXd8bIoV1plOQhgrJRHq6xKU5n80mhCM4OeUS5j'
b'0R5BI4XlyjluBvDeoLR0IWasK+pWRdGKJO2RQXMu6k9u/6pWsOYgzGBkCa1+2Jg9ief7FGA3'
b'anDOvsq7FoKoUSzlm5Qod6lHYiNCTCAGVJXL3AA1SzDJFclrIv/yIiM15PT0LhCztz9fbY7e'
b'//ADWa0tdLRem/QkKzI1Ygm9hNRTSkmIdbNaSXcsIkfH3eb4aHN8Lja9evL46uKFsrz30fcR'
b'+tAllqhxNN0R4u04IXRGuZGiCE0ap2GrKRDR5uicOH76+Wd/8Wd//vjLy9c3t52EXYzSr1Po'
b'v/9nf3mVxr//1SdnDx5+8PCdcYxs3Pf9zcVFWK+6/uizT355b3PChkDi1DLLBmpd3+22I5GH'
b'icqkSikRsVmSkkBmWWqa+dEe86qXEFlCcvsZiQiv+o0SpmkahsGN16yEYkgGi+u9MUaSXGYS'
b'QIyJiCX74pQMEMrSS8KQpmGYximNKZnjM3m1m0A52E8JKmam0WOenax4/RqDgt32NzNFuC6o'
b'MJ7JNRm6rgshYDIliGWDiDcrlLnoOwGEYjV8owz0x1xW+K7/yVCGtuPmnEcJRmIkYK+JBRCT'
b'EAxUjkQNPvY1etlQP55EDFlwlIaaiON+CZVhr9UAgKBIfiCTqqoLTUyeOq0JU1RVdCGIZMeZ'
b'UzZnRfUcFnwiIzbiJm18v43lHnktZuMEaLGeGpkxzJDb6BJcCSLzqZaFkXnvY41xBBACVzev'
b'ZQtTVgTrZIio68LMLfYqIRTWXm1UdMC2W85al7P3PWU7NHIslpW8Z4DN3FtBRLlWAXlAJtUx'
b'Qcqe4kFuxvaccJSW5guRqGC7AaXhS3bKeCdg70qm3rS+5Z90l8BKWV0kg5ReZlSFmLprZRpk'
b'ZkaJPEi8yuRuL1MrDAxElEsSmZXKNmjnM68l78L8pTd9ye+1hqHmJ11e86mWyqTzs7jzylbz'
b'wr3yqv3g+EkBCcitoB5k67yXOYcM6SI1tkGAAwGuHo3aZazw8lmC0ZBSShnhG9GhYqn/WdPW'
b'0VDtLDOhYh0REYTVPA0g0jKFRk3NTE1ZXKvvuk77vp+SDVNMOrAZCXucu3Srrl8LxDi3CCUi'
b'JwFljfPyU97XvBNZqqnVypsOo4t/eV5jyUQ1FFWnxfY9lWBvT+s3Ob5ioU1kWdOWd6LI5Ys7'
b'G6RpRaJ2JgtSVs0oyLZ5U3KtWc1qD++6m4eCbEWSvYkh07H65UKDr0brluBzk2jr38/46V1U'
b'mnSjsqjD6gX7FG+P5lT026OQDcfJwXgtihJl28ceDlc7dyNDF8xPeagl2UHteIWs7c8QsCIM'
b'+b97kLeaw9BMrI7c3jY/2Gp6VPDfcq5CxnNNNfu5TXWtlp2yoXnYEELtiyxCdWPreyuemNE+'
b'TFqloppdzIRljoKvlanbiNwGtepVQLDIlGPmnOTcVBNqr3qo6yPzvmfzE4qtYYkSmTtnoTAZ'
b'mWkpg+7+NDAUHOA9vwuVtmytdZnBN1oLbsDMqkcLi7px88dQkl+JKIQ+hHB8dHr/7Xf6o2Pp'
b'wmQmlA2sMEqQ0K/CFBGJA8U49qtNt16t10enZ0dvPbh/tF6/ev71N18/GZO+/f7HR/fevp00'
b'rFlGoWQ2TUQ6JD06PVWwCA+gNfcxTnHaEW2CrI3Can309Mk3F1c377x9/2b71c0Qu24zJMWU'
b'TLp/+bP/+Hef/er/+T9+/tuwPl4fDZETAk3Tq6dfnp+dqG0vd2frzaoXGW9vpt328vXLToKD'
b'gjiYkbkX3eCKNEM7CdbsXYtv33LZzJcpSDg6OmJDmuK421Uc8xFdoDczgNSIcoua+UqlahkR'
b'adKUUtetpWdSizHG6DVDBSQsnYGTwkzZvacKGCVTyh3JKKt/ampRuDMkM694lftU8dIik2AK'
b'W61WzKzOjcmMLU7jOO48HiQcnrF/znXIqA5HJiI1VsNqcxTHk3G3NU1gjwdQZId7Zmyto7Bl'
b'AMaZVrnVX90kx4u6kIB3+krNTKTpBUwOfbdyJI3V3swludZm65eLt+zRLMyc+xJkq/mC51Ej'
b'3VY6S43A1F7iyKTOmkpumFrrONFSpdvMUppSSi3Lb++pr2vJaGsgmfeo4TG6aCh2h6C8xxHb'
b'Pf2WzzMBXdwwf9MOmLf1AFVaeNbvrdoarUb9ZCG1kvgW+HsLab9RJi96bSVA/xCH60sXo1kp'
b'atQ80CbyHkx4/nzYDOHwmFSYZzy8c07LueVxSFuD3LxlWeaEQYuqkrIumumNQy2B3M4ElLSq'
b'1pFVEaaO367FkTMvp4TQtDsoIinlyqGq6pEtVYZrnson0eM3sonAX8qe6tYwYzMmTmbJJorZ'
b'e0AVRaxGIeUVhRD63rbDOE6TqG6OAsNM4zRsp27FzIFDjSBuVwrM9ssM9mwhXVg02w1tj8+M'
b'CfPO7+u3vl4zy2KTUQu9VsTZEzjacXwjrJnn3j31m/YAwu7+tf2yhMDtj9zKkdUIMo9cV7u0'
b'0baT9w97HYtbDK+PVJt33Zr6ub4if0OznI1iTD2kA/XtrQTfvvHwzxZ07Wit1molX6WKlS1A'
b'qIjvDfzn4ExqVDVq9s5/qtpIRYm93Wx1lb0x95YwzwqMIkK6OUPrvgBcKgkaE+LsqdijtM3m'
b'zq/jgypAewiAWcGbDXl2p1HDqw37iSuynROoFhR7I8+QbNHxrqtuVizHsP2VqnTebkc92pgD'
b'55J5ryhrN6HgkAFuUZ4AJhY28ooMGWJJreTGlMofgqy7+nBt4447JC6bPR7WdR13ISkh9JvT'
b'kwhKYCb03Wq16kIIyUBdTwYOk6VkECIBB1mF0/PT48369vqS0u2T3/9mt9udnt9/572PxiRg'
b'YUG36lS78WJLljT06DeskYMkBUJn06hxXK1PJlUdkda8Obn/+6+f/vt//s6qxxGvjPubYRpj'
b'6mh1+uCd/+J73/1f/qf/8fGnn01H8b1H3/vwww//8PgTTdvLVy+uLy5U+5iAtL14vvu3/8N/'
b'f/HiGZla6WFqTJYM0K7LFSPB3HXdMAwN9aMWE+5EAC0wBBBNuxCONhtTnaZpt9vlY2rGoGTK'
b'pQsTDtCqbdiX8cpARDHGvu+dSkSFqkHAIJZgEE2mphABMEWd1HrpzCPPSNkEUGYwOiKjXGDe'
b'OBv0QCWKP5oKclrwarWqWGE55FtjjAyYWXAq9c+0+n/LlcPdm8uI3VhyfHwshO3N1bS9JZiH'
b'OAEgcrvFLF4wMyDM7HHTlo9WJZfskWcgIg5UAvvARmDYHFhZo/kN7AW2swpFlEyNOISeiCQE'
b'4uBbjay+s9t4zRhMMJNu1kYylSIxRwvKrhj16Oi2bJkjn5fJd2rgBfNV3foBlDRNj4cWn4J7'
b'G0RVp2kyJOJaFQLAPhOyEujpYRJOjlVzCyw/AELiCJGmaCmKSGASgjZud7f4NPRLayBQAX7O'
b'stFs0mkSap2gO3vDXEOdFiRdYYkwt8MsO2oACMxYRBDtkeMKT6uGo5lR3y3EozAnlF0hIgWT'
b'JSKqRdL3uBRZcvprZqRCBOMEgMrqPYHdQXBAkX3+dwsc7beca1LdMeFWQtoDQrlhtsYt1mgL'
b'3AMAUtNG0MvQU6hZUl+pJTVTU5s1oqTG6jWPrZR3bFi+efA2GrtjY3O1Ijo6hmerpON/490u'
b'ky8Mu7JzLY2BRSRppKzMNPX+YCLsBzYm94+FImChNvssMBSRrutYZKvDlMah7/u+701t2G05'
b'9ByyJzajvMf4sSAbNUt9cYN5FW6ztl0XiuJRtwzLrAkA3iWAGiGplq+xUpPXH8n1fvgAACAA'
b'SURBVBeRwvXhEm1OK7R5f+upXGw3oHeZAw6g7cyL3bt4J3YtHtFFuMvhnXsfWmXgW2bSjnko'
b'pNlS4KbGib93OtqnXFzzvBkiIs8gYmph0o5f7U0VmHtxI4fejDqHsiimiiQun5WA9/o21VwN'
b'aG8VAMACyr21uKlmW2+gzOC8Kwsj68PCZCl5RpBVNd//o9xfnOpp3YN5o00BNQRLyc9mzqjx'
b'2AOAYcakpVVfS3P2LjMrUpExs4DMElHuuykH5LBUoF60n1NVN2XQwWtUPeKRWtvBTA/KHOo4'
b'7arrWPNeL2m+d9lph2r33Vddhs17WWsoYDm4dy+yzCXNvAW9qqZx3N2YkXQb4kgkCmZuoze0'
b'Yl1CErDLPT4ZTRPlsNUssjoCOWxA5G6HQNR1XZD+dtpFQzQJR0cKY9P1eh1EoqZkjBAoKTrB'
b'RDCQdNKFo6OjBw/vx+2wm4ZnF0+ePP6dcPfeo4+p3xCYDaQpdGyRrsfBFGG9iRSAlGCjarde'
b'reI0Dbt+lVQlhC5F4u7o8ubmi8d/+OCDR7//6tnm9OT28dOzew9GYBjt9evdo/d+cPPs4ury'
b'chpuQLE/Op1iePr1k5Xww3tBp226fTkBv372lXkWHChGAzyoNkopzZDzzZZ5Jndp/Yd4S2AT'
b'UAJUte/71aozS8PudhwHIjPfRpDnZaUG0/aGIqKu65g5waZpDER93+f+vhqTaVQjDt16tT45'
b'Pzo9p24N6YyEiKZpurm5GrfXaXuTxq2qCnl32sQwNk0pMRkv8C0BYgWfE8FgyWy1yW2A2Txw'
b'IedECVGC7QeR//++FgLTASHev5uFQy/CIXAf+IZpGraW1MjbuyzsRkUBaN245ieLSYiFgnAQ'
b'Ch1xIGFXaZwmgw2YaagZGdcwUAFSluwtE0HfsFpplDLFqvfDRaI6pTLJrKdTKb6JRbAmipKQ'
b'TF1ssJmsNxSqpgnP+NQwOVUdx93N7ZUHdRWqtS8T+9XmvWE20c1ctlLGaZpU02y4avSuuqGo'
b'GmSZz528sKXCjaqwJ3PME24tN2ZvVMrrq1vKXhwqzTd3wWGfcDe/AjAwQUCJSDx6pN5TBJEm'
b'uAILwSVjyB/XguCA79LCc0BabEn7q/5jjmczeJUVknNzX4q/olRSMjNz0FtStcg5Skb9V1U1'
b'jVZU34qhKSXWOQqius7bNe4JdnQglVK5eb8rRcu8dT4RdS8qMucYd+R7iiWMIWDmoDZp8Rg0'
b'aZcty4cHJRut+9U4xt0wDLfbEELX9xCK4y6OvQbh0IGgpVLHYpmYT6U1J7S+ol11895vo4pV'
b'FvSjraq1zPFyixcLqXvRjHvHK9q54eA6PLaH96ChQnsexW8ZDctDd+fNexSmolAL28NVH8Kk'
b'3mw1AuqAAqDs4OFMWkdBe2D36kHtrXFvSjhQinDXWdAmn+pw2PbzXj9mlA707VmjIsfPVvmD'
b'iR0SLizRo34up6aE4viXRG47I1Ur5/HwLYvDXqrfMHPIZTzmog514S0ktVaKa0Ze7uC+wbu9'
b'x2/zs29Fb6nTawOi8Ga82oNJhXKDXbNK78NWI2seqiIhMOflN88Sm2qM08BICkLaagrgYCCS'
b'zgBYMie8SEwEFpibPr1UC7muDoByifEcBlSaPzKgtWoTMxvBwNJtus0xut5iZNIQejKM4zgZ'
b'xWQkzCKQQAAJSb+6d+/04fnpZZwQ+IsnX0zT8N2Pf3D64J3RQpCOE1Sjmow7TaYioV8dqwhT'
b'71nPXddtNpsXLy82U9ysj4+PjyZNF1dTx/LN8xePHj16eH7y+up6s5J79+69urx69vTFJXC2'
b'OX7w1ndevXz59JsnlzevN6fn0TRsTlOaXr58+db5+fc+/vDzL77oA93sti5Ce5tbM8sFSVJS'
b'oOtWRhlzW1y10kEF/8Tle27ro82q6xm0vbmJMVKWTV0czaihqigIVkeuhgxmluDhJCoix5sV'
b'AFMy5nFKo1oCxilNN7fr464Lm7DerFdHR8KnaYKmeHu1u7lJ46BpmoZtmibTERoRo+sRqtFU'
b'VVOxKGbTTz7ITEdHRxWl1W1/U6xRJCUJ2P0ArOYycsbdBh53Ec03sQo0Z2nvHithOSGEnBih'
b'KY6DxlHVvKgMw3t8kgv6aFylZXOEQFQkdcol+7OjAG5GJTJTNnKzhWVbUCJiIzKNAHHO6zdV'
b'MxISEVokHnjxBJh3d8kmy1xAnlrdyZUBAbIh1wmAeWIHcTmhpep8y+RUDQmkwCzVAgYSK/GO'
b'DsxpGq+vr8dp7PveQyNqo2MmtpIQUolpaxe0LFHNbMApyDiO4ziKNGbChWIzX/mMZVOG9yQ3'
b'AJZL5ShV2qemKZqq5ze4Y8THMEPmJo3s4gsUEVe/USreqNckaypm7E3JCsDqn+UtiXwMkrtC'
b'fiuK5tIu5L0gmHIZ8AX7aQISfF9Y66yWlqSCm3X4vMxGPlhw+pn986LvdjvDb5Pb9u4B3Ggk'
b'hZmhHmFHfpgZUravFwfRHmBTYflmuaxteUXOc5pFUk9eb1RQFhggwaNtmIgY5LoIVdlOMwkW'
b'EUOKMWkpPzFD8kAiYZ77fUoQAOSxlaRetaHKQFWtosr4cy3/BfUIEghpWq9j1GmaxnEIQ8dM'
b'HbOmGMfdECiYdt2KCslP2lR68X9JAQVmQfNNRDLjEhahUHtXG8PApWzuIa+qR6bEMe/rxhTK'
b'7lApA1Omd4gz1AiLdRBD4+U7CJq4M8qijllFpjqsLqvR7/GF+tJKqe4E4yEQ7oRwu1gXzkpu'
b'Bqmqmh95t8XMZ9Ca2ncFUL6EqgvlQsB7MKTCmKhpM98uIa+uiMItYQFy52PMjuQMgWjz+AIi'
b'gpcJaoHcQrJyq2qTWvzJdyBbC+Q7qXGLqP4Xz7UuZiQEFp0o8o7XEgtZE6PQMQss6Vx5yV+q'
b'+yROdWpASESUSgTvjJ4L31r+6RAtzcxKS58Wbu1eN3fPvxZrY7tfS4QUthj9pbvdzW6367pO'
b'ROpxO0QVEBkxJTC7X2h6+fzr87N7m6PNFFVBYIsJxOaFZRxcxbvgQr8hV3oBckv1ZJA3SWBm'
b'5o4HZlZDVCAESGDp2IhhQVZqU4qLRpyU45lZQnf/3vHxWuyo++QXnz579uytdx999KM/vd6q'
b'hBDVOgmJZSLbDoMRh/WGOYCCdELSEVFKabM5NrschuHoLBAiYJCwOjq6f376yaef//h73/3s'
b'09+l1dnl1YUQAjMmnSImktOHD7dXr3Yvb8G0S3jw3qNNx5dfPv70s88ePjz/3ve/++rVq/jV'
b'bhwjE5laEJnGRBSSqilxF1QRY+SVmPpxWAT3fguFmYssEww4Pj7uuo7Mbm5u0hQ5uK2uxaJk'
b'lpwHaUuHC7slQhBm5phMVYVySC0MljRwF2QlXUfdBhyiQocERO6CIIis+uMN+DbFCRotTozI'
b'GuM07K4vTUedYpyGNE0xjapeflSJDYkI4rUvNptjeNPbLIPYNE0xRveF/lE5AN/+6z95FV2Y'
b'597c7tpWtZgAFbIgHBNBk1NLtEaLAmtyka0cZmZmDkoQLzVD4kE/9eamE0jhN0SkbvH11wiR'
b'WamghBKtWKkhzPue+AlxE4sLHFaDGgEUKZPUTLgDzYZtzgqAeOckYlaNHt2SySjBHTNtuWuF'
b'USkqXEn1NE3b7VYChRC8OkFDoCktrUrtxhXaqmaL/EjMHKt0WyspeHt0GVWjKIRyz9rUXtU+'
b'RPsSjDX/5sGrDDoLIFX4djVaFiEElTHgW9HSzNiZEyub6CJQv8rhLvp7iQb/nctez9OZl9CK'
b'SqhC9mJub5LT2424c7ZERZRcPjJ/vkOBuSscCAm1gXx9aakSXec/r1DJPKS+QNUtSwDgP7g8'
b'6vWsYgZIO3Nz1drPGzOF4OXPZgGFiJrGT1RMm2pMRCmmGvvb4rNI1WSImd364hWtALjHfQ8a'
b'TGS5fMe+1NsCk4uGv+lXaWPjOA7TqFOcaFC1sKZxYMBsYwzi0AFsLJipSiNuEmreVcv49zCz'
b'CkNvwoE620LWCpNY3tP+256C9su99VrR9Twvwhqlrn28JSaguyfZHr12p7CM2+Flvmlde8t9'
b'9xSbvc160zHB8hzV17VP1UUVemV7zSJxBwLvZxgTVUm6hlgshOb2dW2gGpZJGoW4gRoz5PwO'
b'JjOLpm28XBXBzWzP/9NuXH1vvbmZfGPNIa9QMhuD2oXsPZvpQfbsLS6PTQGA0hjT5vB31Bk2'
b'G7eoilHqy6mZCbX2r3lDWzDam52qVrRvTUrCzOLc0AEYY1yt5rVkr2YjADSbPs92b2f9Ty/4'
b'actV1RVV8A7DcH19fe/evU7akMg6DsMUxs7vQeqdEVjTs6+ePDw7Oj95OAyDQZR4NxkH2m0V'
b'Ao/fhpayz1aCu8vZdNyGF6cmwOu7GCtBnIR7/dIqyTB1q77frFk6IuLobK7smqmmqGnKSGgA'
b'sO57QrRp9/U3X642xz/9y3/vajtRt9aYOuksJmhCTNubm0TEXa+qLAIksBBRGqfN0amEfhi3'
b'mrY3t69ltSGyzfr49Pzh40+fv37x/MMP3vvd1xdpHDabDRmvjtZHR0eT0vr0rOvx6vmz169e'
b'dkcn7777Tidy/fQZdevH33zz+ubqg0fv/cm90y8fP3n58iWAGAchUU1x0hBC161SSuN2twpz'
b'I7CK5FiSStxBcNgsGRGEV5t1H4LGtL25jTEGFjUFaTSlxuTq/amscSTWQ62qaZwSTM0gMowp'
b'S1kkydlqisyjpttgggkSkoE71URe6r2j1fF6QwRFHHXcDreXl7fbabvz+r6h60SYo6QpqkXV'
b'kah6J4iYuQuWzXlGxEljjFFjwopIOORK+ZmCo5zqfzr2oKXFKDQ3E/eSQ83MewKcmREbE5sm'
b'JlIk02iaUtxBUx86c9GtyuuzXu4ljCAAOIiIsBARy7KKCLEpwZs4kJ+NOTGTiC0lYhLpVKOb'
b'etQsJq2kBG6pznajJMS5vJJXFy7E18U1l26YgrkYTQAwebUzLt0JQCCFGtSMlMGmZpbLMLKI'
b'MZMqFfsBUS5W7Q29HcIxxd04DNP41tl9T+tGw+3MrDJ4K60NvT5a5SghhCpRVC41TVPXuf1C'
b'clhRwx4WZ8K5ph6K9XnrM86YZeNEE27kSR1wewzXcM/a7VWBrHRZg0iWGcNCmGgmtpDG9jhf'
b'ZZQZ9V3FajT3dvJZ2yj42X6oBJSZQapKzKSlMnmuneWeH2LNWDMbZYlyGTuzZsBsKSKz3E+3'
b'wDPz0r2DZo36kTFkKeg4mAHKYAQAT21xFbeUaj8wTYl4eIPbRgnIKQgsnVL0Qlm+VG9I610d'
b'HMbEok2GU0qJ3cJdKujFNJqWfPpiWYG4oxaqFlSMNcFbmUCEsZQDqAT4MrJbkkxVEUKAHyEQ'
b'sRh41tuzOK71CIiR108AkCOMVVES/Td9Z2cn2+12O+x224mGYaUaU4pxnKZJj7E+4lImfg4n'
b'RbG+E5FpmvcOrVFgsX11v2qSa2VFNesHpRZQ++wBc8rQdiD7oSSuhlHLuQGNbZsY0kRD7ck9'
b'1mi5TihbnTyLaDZPpgQfzo9bY3Gvy6xoVllJ+281Hxwqk3vTawepz1b+WmlRA8xCQJyPLMT6'
b'eb31cnLuZbObcdqCCvv0sN5WRfBC/dgdsy0c6pTqK+pC/IOU8R0mXZdFlsqJrLBMv42LD62+'
b'3b2UhzpV+cSVJtU5ozQCaxUPGAuzITEz2SwqAWCiGCciYvNec0wkCYiahA4NH96qch4hx6zq'
b'ELoQY7RSrYFtoR82eOVAJjMjJlVlY2b2HA6ACquZexpUoPlehBDGcaxxDvVY1df5g3NXuAbN'
b'ykxmbsIloZOZYeTGCB/EY4atCuX1caI6fj16ZDBLHeP68tXu5nUabmy8WQU2IoUFpmSKDskI'
b'RGwMS8HIUiQmmDh5I4Jp2iMU7VXJUUYwIRZarToR3qw6ki5Ow6rrPQ47ULodbgMBcQyEyVLX'
b'rZOiC6JxJ9b9+je/2G5vf/av//rsrXevn72akgYObDymHZlSSturG+EQVmsiidO0WnV935sZ'
b'cwhhvVptLl6/nIZrw+ntNsYhiXTXV8OwS7/5zW9+9h/97NntGCnutjemsjrrP//D77cav/ej'
b'H0navvjqy88/+zTubn/40aP16mj34uLFi1fKm+Pzt8aIV69ffPfDR2/dP/v6669fX+xYwnZM'
b'zKLEwzBYTLC02954ycQqCLX2gvZc143jIngQBbVcQqfv5OrqSlUBUSCm2HVdSomEkSyEIMKq'
b'ydTrH3pCGlrDcdQkoe/6I5E+GTIdEzITCp2REJjUyMMnhh1pEkJkThRAtOrDpgv9KqyPz3Yr'
b'url9vb2K2/EWcRLSzhNg2ToBUU9E05hijEZsLJvNRlWDgZljVBEZhiGfevCCmmd6+2YDTL0q'
b'aaa7JLBGxc+X5jvL46awxEyqNo7jOO5IEzPEtdrKXRoe4J+yGNeWA1KCwJQsc/omJtsW9Y8B'
b'eHX6cjzENKrCWW9LUpuXesCSASCIQZkDUQ2ToaaNUVkpgWwO/3JiChDIcgl7AWULSQDc/5fp'
b'VKWjWliuExchHoZht9v1fb9er1vj6OGOtBwUBxUz6j0N36KFqakZ8PCQUOnE3O57+y6nkiLC'
b'rqTlJjUu2rp9cSH9tCz2ThyjA57drgINyXbFVYi1YJrZXCj5zlc0LyIiKcEP+/fXz4pEFt6U'
b'97b3igLzpbJRag3l1S0XRHc57PdwEo5Mjag0v6v8b56MwaP/q8xazqaImFfcMp0TUuusmIPq'
b'5GrbYuh67pYG6QwfVff/uBiUYtZLnTFXaPjRMK/uz7X9tlHhspUT78lSqsqSSwgwc9bvS7eQ'
b'ikuz6SUlxw7NrTMW1mJH1F6CrlZmttvthnGrQmumIBKnYdzdMnPXH+USXLTAdlOi/cTZuySw'
b'doPNagMsFGksJU0phXB3GkwFRYtgLYiw1BPujHkgIk22N6yW0q71nkNbaYWqHTRyPnxv5qBl'
b'zMPj0P6py2QDon2UvhN6WALWyrX3Tfvbtxz8PWg0oKO9X+uwFQJ7E66HYm8JVOSJw58y5sis'
b'm7Xj3zlPKn6DCm0ssaLO1idTA+L36D/mnZ3PQi7I68dHZ8xBwVvKdQYXvAPe4DdL0fsb6sxl'
b'vV4jK65zPJhP/xCGmPMoiJnbECAPXgSEKIWSndXOk4oi5PJxke/faPElolx+9wDtuaEqDmuf'
b'lZcbrvBfThjIIMgmrbodXo0EAFnc3ewuXz23OOi4tbglE7AIBEpGtO4kqqlGRYKq2WQHVGWG'
b'G1GOqc7db7SeZyWzmAovs/WqX686jbET7pnYFJDdsL2+vozTMKQ03N6klLrNyTQOoestTrvt'
b'zdfj1ae/++RPfvpnb7393svXV1NKqjxNmo9LHLcXrzpLiSGhG6covOq6TmNSRTLEhPV6E1fh'
b'5uYVLvrdhKPN/ZuLy9vXl9vtMFy+fPr1Vz/+wcd/+3f/7uT4wdX1cHl5SX34/o9++NM//0mw'
b'9NWDz54+fXp5efmrf/yH/+w//y9/8pM//c1vfns97n7w458e9/zf/Zv/5vXLFx+9/94PfvCD'
b'ly9effaHL6Ep6cToQlhFaEqT14VR1WwKWRoUWqxoT1yMcbXpdzGp0snZmSVV0DiOJGxMSCxC'
b'0zSxdPXsNMcz53g3HkWGsLB03Yplpdxl0kfGKgYi6Y2DeM036YyJTDVOHm2ySzvikKLYqtNO'
b'hIOEcHx8vL26MA1GRmmKMZpNMPPqFl3X3bt3EtWub7YpTsdHp36wKrkolCcwc1AFEWWru1uP'
b'KBneJOTcIUjVs0dLWa39HtQSFD8RcBo17XbTuBOijshl++xyLJGC7Q6R1x7h+XAe2Mc4z52z'
b'WIMiMFX2rEZekz6BojkhE5ZALLRIMzLmbEjNjmASkFIpbmNmDG/iQPCMZAFUHQ2olpVQMiTv'
b'P4BiJTUuZfGJQLliSV1tpbLFcKq7cdjtdvfu3Vutj8SjLIhyD7JieK4QXkCeCUvyx0V8jDGi'
b'dGmpZgx6Qwm//E1pxeBbUqC58FALMTGCB76xoOgzxtbK+hUdHU6HGFWzBZrNpcOg5PkpaM7O'
b'KRXo33Q5d9uTtWcsZW9GsTeZMoVMeBvMzG8v/19ed4XgomIClVcQUQObu3SJ8nYiajhCDk+2'
b'ZhyxYnwAuOiSdRwrMrJmkyUb5ohzL5tAloCSLEUJMMqTnVX9GPdh7EjlTUZijM4UDR6bB7VE'
b'IM6BAwor5o/AMUZNoDKyG0o7Fi0WUxSzNwBmgIIRsQAelceLCGBqhKRpmkoVLAdp9mKpAqWh'
b'TNd1df5pp2mKOkXqDWTTNPE4Sliz5L46vr9k5FV4tEmqQcNFbKk51y9RZE2/IaWp6g8e5116'
b'sL5RMm6Pz8LiWF56KH/Xg+l3tmLiUntBYwxdzLmW/mwpfPvqw1ntDVIX1d5fv2+nujeBet0Z'
b'xIJG9mqpkC21o73lNOLarD5VBQBAU1+uTntRRqZZ/vzN3syJyMl3qXOlhBxTlwEFM/esHVjQ'
b'DoFQ3R0AnC80SmfeF2ImMtOM35pSynW3UGr9+QY3jgjL+n+1fxXW5jRHiIzIkycCEYVA7nzz'
b'Q8rCpZjdbEZt98tHdrcGsVmTFAsgwUplsNk10cDZnOQ4cUSmzoVf6D607+AsJZTuTmSo+0il'
b'gDpa/Zn3UTHfP5svmJlDCKuuE6Lc1KTeyZbNSSyqyqZqJkgWp5vLV5evX+g0apo0DQQhC0TC'
b'ZqIiYSWMCHe/KvtWu0fdvElQnqe707/tEiZQ13VkGLa3NxevdYoidHu7swRmvrm5ut1eI0VN'
b'MU5D6Drbbbt+TSRHnf3+i8+++PSTe/cf/uw//FdfPb/6w++fhHU/jelsdXq1HZNFi7fXL56u'
b'OO086mEi6rpxe4ukzBzVpmSr1WrqZbu7efb8q7A6TaPpbkSC6TCm9PNf/Pxv3n/37aPw5JvH'
b'NyOOzx++df87985PP//8sz/98U9++/kfLrfT+x9/78k3z//27/63f/mTv+xDHyf03cmHH394'
b'ev6dl0+f3Pz2i/ffefv9R++e3jt//Pjxk2+eTnGHQCxAEISONR2e00or7qRgIYSUklki7o+O'
b'jpiZkl1d3YgEVSgscCckRDxNYxece0oVsrxYbqaWHpRuJKHnbkNdB+7J1JJGTckrkDNBAlgg'
b'TEHYpdCcwctrFggHYoaIBSQmCuvVydHmdGewaQeROA6qBo0KDGm63Q56Kufn55uT89eXF/16'
b'FaSnNPrqWDhOznc8QZ/nMqAFTiC6O+a4hVR72Pa+qbJMBTFpdDdHmwbgMSHZOMcccvKNGElg'
b'tuWLUkpgcqtAqwC088mU6M0mn1bILt8Q5hpkNKeA+ErN248mzH6JQNSIvGX1ZSo5iNxH8+7u'
b'6s0LidQMLEgGcA7pA4O9wQpZicjTAuRqvEnTNAyDiJycnLi8QsVsb6UHRF1gJWFOqBQHJA95'
b'8GmaqDQAnmn3m21m1FwzAA9IP9HsJXjTCO0MXVlq9wgNQV8KVe0NLvtqycD2pS1W2uLzm02L'
b'jfHGD+3SA3DAWuYq+3kmBeXMrIhQBFjbvmcPCG+Scr7luvORCpOyFCsVcusrsuIAIMehAQJS'
b'UtZcJnIW8Q720f9fxQUrV/snmsfrCFaiztxFXgVNKzA0M6eU1UdvTdCzmUW1Gk1BTaCFPxu6'
b'JeujeXw0omqMMQfJlMAks1p/dxGv0rHoasXMuylqiimOXRdgmqYhTkPPTALiACsd9GZmL4ft'
b'I1rk2ZM8WvN/XdQyoWhhsHwT2Fs5u331m1Frrq9Sa8vUb/JQJVCkfS8AT+neE8Gb3b9TSZ6n'
b'oaWxY7uoqodUcuFgcTVvj3pUBKjPVj3nTo+HT6J19x/icPOL2ZuJ3t4CKwXjUtlzb7F1KMoV'
b'R5eUjWZkqPPZe/ZwPg2pzE0z6jFpt4+IsJ+Ay1V5+5bVteuqFIyKqcf7YXOlA7kdzd0NldvL'
b'sZqRu3lAvHrEG5lLi051xz1I0kubKAyYuYBhz1CZ/X6VM+7BZ2+nKpR8UXvzaRXCxXY0Faf9'
b'RMxBcZh9+GyopJkMxKRxjHEcdtfXl6/G2xtCJCQ2I1VQdJM9W0QyMgqk8CaMUPZDuuxs3yJJ'
b'rRzdlhj2uaWUQKJpevr1N69evTo/P1+v17c3W5EOwDRNMY5x3JKmcRyl70K3Gnfbvu833cOn'
b'Xz0hDn/11/9ptzk6O5cHF9evry6n3XgxJI06pUnidtpdbla8i7i8uEYKhNvjk6MUR/e+guTo'
b'5AzjxXa4hqrGEdJNw+2wHckmtclg//gPP//pj/7kq6/+901Ynaw7IXzyya8fPrj/9//3z3fD'
b'dO/+2//iP/hX73/wwePPvwCLhHB+fp9Izu49PLv/zvNnLyLSV89evr66/PDRex9//NGDB+e/'
b'+/0ftkPqupWyACQS0tKQVGnL4b9mZsmC8DCMCCx9169XOkVT293cmllKGrpec3K59v0qxcks'
b'EuVs0XpyAMDle2IDk6yk68zlXNVEiYlEkgLEgUQkBAk9SwcmIgGUQSQM6lxE6oRFBEYpGbP0'
b'/Xrc3oI7ZiJDIrNkycwIwnJ9fT2M8fzB2+998MHZ2fnNzc1p31NePg/D4BlJ5t1mHJdUlZyY'
b'sgNrUQvoTRTkkMPt/WSakimzlKOmlUkr1My6rmM6DkjBBxEBeZGf+dCaGXmdbzCYs1miaaFy'
b'OL0S+eFyvFbjZRvtnbGBufIncxmllo5BghfogZe7yUbyVBq+ZnJmcweTUvsfzIJcO5xMoysu'
b'MCjYiA2U2y97tiqVjiqzIdmYKaUJwDjGlOzk5GSz2ZSkyjnuFjQ7WHKf4yZUIzdxL3YsANn5'
b'4mZYAgmTBBIpZ+OOXW45FpYEcQ/4Zlas0myld7wdKCG82DsuZut8KZiazI2WiO/NiijvkZnW'
b'zLO9O/e4aUVUpTkItZ0eFVZXv98TFthqmlrutVRtw94j2NRrvTXAKRFKdQJ7p8Wqh+oAwnvT'
b'xpLpzcsxYw8vYjHLXb2taaxT29A767KU3FhIamSmSc0SuRaaXEBPzao95RpxVAAAIABJREFU'
b'Tn1uacQllN9yKexM+7hp+tNyYuRa2CkDtnxTmH1U1VAqphOQ5gQ+R2FjAqiE85IH/RuReRI/'
b'qt5G5BZcj3JW9aJDYa6oSJkQqKZigTUz67ijXpLdDuO0pW3oVtwhxjgMWxLuwxGRH9gMRjYG'
b'TE0tGzEb+99dQrmWmn1ImpC8scmd4Xx7+74ni5Rf3FDguFoQg2YcK9vETnGjpSlOmqzrukyp'
b'cmEl37V9Ra59L7MxMSzH1lNpEVVJqJVgxTY0pZ1wK6/Uuc1qYYEAN7Us0TCX/Z/Ibck+Y88X'
b'MqLckJgqMlRIFTNT9XOWGS6k52pwQcYoryPgL+WZ2Bc3Qt2ymZXkamYwoppo5Te02kirBkiD'
b'NprfC0LpXbBQacjU/bf1pQXrnTMlBZQdQAATQzgt99Ts/yXszZ9kSY4zMXePyMyq6n7XvMHD'
b'EBgQILgQyeWK5JK24ppJa9LqJ5mt/u3VamlGLq8lJQ4IECAGc755Rx9VmRHun37wiMjI7B4q'
b'bexNd3VWZhwefvvnBAR3k3EJ8QkRQRji2UpcEekYwuIOLB+emcEMKwboo5evRggRIGbynASp'
b'mHssFaq9zpp5T/zcUVfZsk5qF5rsqItWLCzefZ02tz1ipTduvJ4Xp4Ta78JFaOMSBf2vbsEY'
b'Y56magOs9FBmZCAvMTelnPN8Od/cXG5vcjp7P1+QGkxMiAITCWAGrqFSEAkyUfaiUTCopDWz'
b'Ifts+2ZtvTNLQjSzDA3CInR784ZuKF3uPvjgg5QScQVOJI1MYQhpMctL0mRmpxfPvvnq09ev'
b'X//+H/yPLz54qbB5OWtexEBJL3qOMabz5XJ+MwYjKFlM8+zeJ77P5/MdgKy4u72VJ1fjdCQS'
b'yhpHOsQQGRbUYCQTWH/+i1/+5Ld/+yc//I2//fufXg5h1gtC/PSfPw1GOadnL54v2S6X5Yc/'
b'+u1f/PRnhydXmfHll1/+6le/Pl09QxgpkogtKf38F//87MnxRz/60e//66u//+RnN3fzdLjO'
b'OZNpK6XZUKkalZSXDTEIBzOLMWpgivHp06dEkh02hzmEuGiOcWAOZqYEr3MlYiWweUK6A3oU'
b'/VDikE3CMJCMxEMQl2OeriDe+JbBgaNQEHj5ZyBmYQkSSNyy6CuOKBtlI7CwBKzaHYiNOZDw'
b'EGII4e37d09fvmDm4+FI1WIXkWVZAM83loIno9UieCiHelXv4WnvlULqmGn90NQchg8sXrUX'
b'iUoqBylEZDweWCOTsWYAxGF3htvmQbg0V2TmUFphSSBfMCJjjuBVEVxP40PXJlau3WAidgwC'
b'QIFPWvO2V5zBh4vgD2ySpmff3snPSMjVBWOvbNy+a+84bI81s3Ecn1xfxRj95Y0aGq9pd7ZH'
b'rfyre2D7JOeCBeuZ+k0j95Ky/iFbZr1fpd0rGpHtpdf2CW3w30ZX1PnDeKuj7+8xIo95u6Da'
b'wpgCm1Y1/6Lc0nZjY/GPvhGAoOTWVLZR/1oFPEDESsSEQEVCb+zkB5S2d43tF7kTacL77/pV'
b'fLSlOS493AFAWbNZBsyQYRmWCaqaoEZFkGqBpu1xMLA2juDOBctVJ2o/e8TfM93d2938+u41'
b'2VAmEGjfqbo9p5/7OseU1GOnXg/IxVHpIrw5Fzw6T0Qe5mqqdk/AVsvCatdGAjhKuNglXTBP'
b'50kiIVhech4GHZiZQ/RWaUTExMKBGpxXx6n6dV/ZFwFE4mX0tY78IYXvft2p1G3pmhu4zcif'
b'5rWs7Z6ml7TntFlLARtdPce0tR/owYXq8bbuCFdf+DpIenCod/zcrbjeAOgFx6OvbhED6rRA'
b'6tiOO4uBNaWkLWBzAe4G2QyAnia5GgCwjSkuFWS2vY6ZG15Q+24Z514ObpKdPAjV55HXv/Gj'
b'S4HuqrOwtoBto4Hi6+FOfDTsv54a+0nt1pmZIZ4/W8zzzi4qT8i2AqsXa7rYosXWcoaRcw5B'
b'HFojxshIzdDcEQl34qkfZH+n5+m4xGb2eHq/kzUpt9b/WAUwUF1rIfpnVvpn5tXc2q35jgLN'
b'W7KWJRYm8gqHGGNLSQLAxSfgnwSBZs3QZHle5rucztSx05Zp6QgGQqQAqRkTmxg0EIidGqWF'
b'Afy78VtEZ1tbt/bHKEIWhNP59t3rPB4mBU/TNIwHUhpOB785BJ7P59P1CXr55sv70+n61Xe+'
b'BxaQfPjhh0zhFz/75ZuvX5vZOd9YSndvv/zggMv5XvmKAhkWEtGs0xBD4Jzmy+XCDNJF4sHm'
b'Cy6XWaOFOI4i4/GS7ebm/WKX//Jf//x//1//t3/65a/O97fz/R2HY4wjhRiHOM/z3/3tX3/2'
b'q0+FmIgPx+Nlnl+/+ebP/uzP3rx5PQxDDBiiIHNe5tfvbpef/YKCZMUwjCALvJp2/UlsJLVD'
b'PGNmGCoYNnOQ6XScpunN+9u7u7uccwhjSlnCmDUHFlNiwJGXTQ3GMUYQATmMo+f/gANISKKE'
b'kYMkd7uouyQCM8cwynjgODCLo1mWU+dVKO74rrI4uwVuRCJxmCQGsjnpgkzwKDeYKJjSMMZh'
b'ml588GEcxpwtVodqS/3wkxJ7cuf1sK1OpYdn9eEBpo4Rt0cUPlXQlE1Yihq07kSQYRygYgMj'
b'kfoQxSqJeweWehSle3iox1aoycJHxUZ3hOto/e2r+NlMd/Us7C0Bkea4cnHSZ54wERn1enPw'
b'XCZ4tgCrYbXOqXFkcJDQ3uWTaA/xJSJCCOH6dHUYjyjp3TCC+Py7cLDVq02qsGnH7G9Z6lJi'
b'uPAAUIyuAzkzsoLN3OsxbVItU8i3kX12LoPq57b97rcSTxtwUxDXe7oT2xEUeyqCm4il2KPe'
b'8jDVvl8Bv2El8d2dLSukY/q9AGgDAQDLViI8Qu6G9eYsJTt81fWZmKlkAaHb9J1c8Q3qpkIr'
b'aH1tBknrOfRP/Bejx8yUSg/UBEzvwtpoE1UKQY2BTTZUdVPm7Zq4OrXTPuvBKmNs5kExAFj2'
b'bj940Zq6RT1IgASvSNk4Suusex4VQkgpacpCtWtgvb/n8kQUWEhC5tzxEKtzBArOCdfTzYBq'
b'9jIDyWrz5SIyyjhJrWqIEqOQN99hIqodzdGZE+is1nVLpHh2yW0wpsjCxNp5u+viPGJa9z9g'
b'zQDhHYUXWPXKXHdUUYwc3hTpdj+vb+lNjs0s/JV+jEBM1OtgPZGUm8XHwdsJrvf0y4Wqte/e'
b'2G8uUU1vqEYO7SpfKxA3M1f6R3sLdRpzUzKpT39nrmtS+ga0L7a1agBBfQyzYxRc8rLRjgZ7'
b'oBVEfgqIqFV/7Sbusbg2Ka7R3tx1lizM97EaPWau3Wl6OBp3qK2AXeiqR9qrbe0S4zEfJqpd'
b'oqVyNuaW/6MogZd+AE0AoZI7M6vq/f39s+mahZml77ZexsMEQqB1GXvy0/pAEaKwCrueM7SD'
b'31MaMwsXUKae2+1kUAlXdn9qb+8ptq1wzmpmbM2wLPZGr5r3RpdqFkDTkudzns/pfG+a2wsV'
b'bEaRHF+osCaBGilYDIFMmVCwSIoFXng7jAlS1rmytfovZ1WAAxOAw2EahxiZ0rLc36asCYFY'
b'MlnOizIj5xzHSTKmMQTS89378erq1auPpsPpfD8fr68uy/L06dMPX7741S//GUyaU6TLIHo8'
b'He7v7yUICQXmoq+OkQkMm6aBJc6LxOn4Yprevn1rC83MYaAwHc6ZJIxg+fSrd7/49LN//W9+'
b'/7/++Z8zAsHOdntPcrg6zXkej4f55ubZs2dxmOakp2dP0rx8+eXnOZ2fXo1DAIPkEJd8OJ/P'
b'b88qAg6HwyB5mee0xBhpGLwxfE91cfJI3cb3CsAh05JmDXx69uz6+lpEvKTt6upKo3z49ImH'
b'oIZhGMdomgCYkjqSVunjns0c00fGOBBY4hDiCAkUBEagWXMmImMhWDSdQkBwvxBKV6gKY+v6'
b'pNeEC8iLdDkMYTqIpZwVIVAcmChGUSMR0WREROFxYImUkoAMSJpX7Mi2EPygBuChHHpUpWuS'
b'r0kf1MwH96MzlASM0HBCQwjkmEkg9uApCZdNUsC72cGc5FfXvhRlWUQ4MgcIl7oJyJY3SkVI'
b'bFp1O+9AkabSqz605SMrF/CO5uSaTJXcWCUHlf58RTvk6pVkBy8TrOk6JTszEmV3TBatffX/'
b'dWJGbYwDxSFU4EXU8Uv14vTuvT42XfoOd0Gixvfb+q/1DxuVbuOboY7JNjaKqvfscm17cmoL'
b'SlWI9uy12WD9yvPWltuMyv1Mvq8iFbx+BZb2xyqV3CMmKtaCrwZvXvSAvzt63bde67p1hCG1'
b'OAQd2Tx8eP21zXdDb//yG7cfCUj7SpXd1danPcFMpQl7ZgOK3HAaJjgacWzAVgDIoAV4kysi'
b'h1vjtRJ3ozPRgxJJqhg76BycLr3KfrXsBUGg0D+tJ9HNvAAA0Q2AAvAXOLAQwRy3sJyMfgz+'
b'nAq+aVUqewFPAQzJudQ1psusBJFIeVnOZxY5BFINnOY8DBLHUsS/T6tY594b5Os91HHhIFz7'
b'E7lC0w2P+ic3dtonrjSu1fhYNwb/UzSz6uZYBydB2BvebcHmpTggNjNqUYL+WBVVXoR1kxf6'
b'UMD0K7PLrt6paLRlNY8+YTf3NkKqrK/91b0APafqvSHUK3y0z1biyktFKowEVmWuZ4/+Q33O'
b'RpvsH4jOeOhnun/pJly8Uq91IJLt6+hCcG0Wbd26jDs/8Y4560stD50F/S70G+TOdf9URNjB'
b'rdWCCDFT7nxnJETm+qnPy8wTexGFx3GUQHm5vH/zzQenME2BCbbvMVCHUVPIaCspSnzeWKTE'
b'VYouUA3LddjM3HWqDiEw1uyvtjsP6c0qBnd7DoANP1Jz2WFmtbJjU23f0blJbbguTAbosnBg'
b'TTnN5/nudr7cIytDA4NLRbjVRAN/noKUidiUQKWDu8OaAy5vBMQG7x/6La3oIaUAGiLy4vnz'
b'Z9dPcpo1ZyaZ51kiLlANyzBMIGKh+XInMBNckJ8+u05mIvTzn//8+vXV0xfPh2H49Jf//Nmv'
b'Pnv/7jZpFk6DXRg55TCrgbHkeRiiZZwtQ1OlXgMpB4lyenoYke31mxsOgpTT3d14fJp0vjqe'
b'njx78tN/+sV//A//8w8+/v7bN+9ykhCnBVhSmsZoaZE43L5/F8chHo7f++jj1998ZekKKdoy'
b'E+fLZVGzpKAwCZBzNk0LlFWnYWzeqN5T4G4p6gyAto9CQTVN03RWnY6nEMfPvvji/ft3/8f/'
b'+Z+Y7O8++fv789mM/ujf/smrVx+J0P/1n//zcjmDZRzHEMKyLCWqQ5Q9vzKM72/OEoakNGuG'
b'CrNQiDEOImJEMKYQl5yYSGA1ds3EcM1USsTY40KAmqr3yyuQG0ogYWMCU4is2cZx5Djc313e'
b'vXsTJZgm5sgUgCwoVrEqpTTHKrTA7I1rhWGOZsrMRCvnKpf37KzaA62WOpi5ZCfUMjsAIAlB'
b'QmCmTDBWRohMgQFmkIEKuh+DQjbz2L4fMTepyCAOoLAaAGxM3m1c4tAO6/YMCJGLWS/IMFDB'
b'11dVc5gTP8XuByn5lzW7sZouleE6UI8frlhzAF3drwM2QBMHqTejtJbtrcyt+h7jqATno0Dp'
b'rUoGQMUFkIMtVHwGZ4rBdwnFUiweWUA1l5hmkGwN5lkEJROxIKBXueLZmTFGooKbzixAgYev'
b'fNP8P7dtfGrUlWewsMLcdFXVZVmYeRzHcqJKxSSJCIlrn9b6zLRdExH34Rdbr5xGISLHWfKQ'
b'Kfu5IGNmRQ4SmAWlGnh1aIGYKTBLxRFi600HIikuFGJqwdgmC7nUXrmqwURM8B71TCASCKgY'
b'1qUhgMstDm1CVaPqCdIAMBlv5S7KCGWjJ1UEIkZovzqYPRMBgbpuXdrxL28gQQW4vgyDC4C9'
b'Fwg5aW+0TJeas2mMMYiwec8+Iibx7gdwl1UBeE0puWAOIaBIXDYDdboIt24A1a9ftR833UGA'
b'yEBEYiAh4oHYzHslhiAiDgFknqziKdHVqzoOQ8qcFQaLvnSBY4jUpuxRRxEA0zCqKkyh5D1J'
b'AI4xpEUBNoM3A0YLx6uOcWDmOV3SMo/TQMOQF1tCACB44vVzZsYMMwvVcupyVAqw2FrPirIo'
b'RCQh2Eo4Lo06koT2+iLX3HfbZpyrqp+/fhPd+8vGTGwV/84Bw0MI5AfckxD9hFlxeXFN3iDr'
b'FSbrntxprsYswRXMhmBDW09BoS3wBtlqqwHvprm7h/veupVqiQhWcm9iGLgHo/S8+VrxLaXe'
b'gyQK11QxU1IrqSBGzEFEvBUjg0XhPgUp3VCZWQxdulQ3QmGmajit2mrJefNc29KYYg27t4UC'
b'sPYWI9aiLjaPgsBDe8xaxUQjFV9UbggZUl4Bdj2xFgMQkw9PiI3ES4FBRCQsIHjY2RvpuC8i'
b'UFgLcmqxjIgSGWnJRyBAOLJohqmqgBSG+kwChJHTrIsO03EaIxFFIUJ+/+6NfvSBQiRwEwpt'
b'NQTERC7FiogT1razKTNz4ECMrKqaIw8Nv98MmjfeKAZJaRQOkInQOI455+ImY8q25oO1MA4I'
b'LEzCYLLy5YIDmn1bWicZEIohrSJsOQkzmXoRXQEVBYrIMGOy5TLnNKd5mS8X5BKRCCEwNOcl'
b'DiV43vdZrwfB2KAMZOIYrATAEENUU00LmxFv9P+Vt1dpJyKH6TgM4zRMajynFJkMabnMMy5R'
b'hMMA6BACYGB7/uSpxFHn9NmXn0v4Jn4RFXZ/f3u5P7O67adB1NLl1csP7mc9m7AaMV/Od5rm'
b'GCXNi8Rwv1zO714DPE6Hp9dPbs8z4vFwhcvlohiEOadliEMIDODm5uaTTz75N7/7k7/4b3+l'
b'U4zTySRyGJzHkmUzS6aX+7uf//Tvlvl8uVzS5bLMZ7NMJGY55zXGJULTODFKCNr9pC4+nPmN'
b'rUFYSYBsSYyklCUGM2Iafvd3/uDXn331Z//l//7Jb/3oP/6H/+Vv/uovP/mHf1xy4iDPX736'
b'zZ/8ji7p7nb+7Ne/doj26XC4u7sbhuF4PCrscLoeD4fhyC8/fHW4vgaHL79+/e7tTVpmGJl7'
b'lOMYYxzGkSVSKGEKzYmZwYHg7SBI88weirMMzQIjy8IwLgYDPOKt2e9cMocQjXA8HpFnhok7'
b'yMBEcrlcIBiiPH/2JNKDq7Lgx6iKiB6LKdjWgURFJQKDJQaXWYBqSmEYo5TcQtWMnFW1VvZJ'
b'FRlcvGbw/nm1FXt1THiRqBdZcwkFBBSHRH91rn0Is3nhgcdDK0Q9i0OIFPWCGzdp/L2bb/G7'
b'UMGZXKHZzAwgkciyyrBu9bzCUotEdqHiQne7lkApvnRNyEU4//8526jaKkVR2NTb0W46VN32'
b'e9FeZuE4xwWrhGroudNv9hpkPwB/lJsTq/AuPBF1Ewm1kqwLQHfpECVcs3k41nzT7pmOyFgV'
b'brjhxmQE8eNNZLymK/TL1/ziDxZ24+Ld/bVXiXbbsVOA6q+9+39tNuR6ZLntW3d1fQ6VLKO9'
b'G+8hSbQ9bV/vowLsJigpALMsBOq6HxARhAViVfdylCzx1tfOnrSEAqSmKTocJm23hpo/FdS0'
b'qKrIriXbTbX1z1uEodcR122q7q6mEgHw1tyb1egWqUXYnC8xs5vrIQwe8KkFAC1TXISIQlQN'
b'Kc3LZYjjFEUspcycw8jMMNJtS+w2GJ8TdfyzkG5jIw+SEFD91vSAeOr2PdJ6j7p88f7+IMXD'
b'TV2W86NU0Z+GnqT9SMqDxS8/M/ux2g1puwLrtXO8tRm1m9sEaUsPbWDo5tI0tn671/u3hhPX'
b'EIqTR/EqyWYRmndwd3j7Y/7odPplN1tz+tsgV6qTzfoXr1b9xOtHH3q+d0va3tiCb+2Gsu/b'
b'REp3qROVBM26FN0+1h8eMjSuoYZGIY3SvDfl2jSNiUiMhS0DYIOAjDmUTDPneNksEBEJi8Rs'
b'qS9xbgu4DXN10/DBwIjKw9v4QXBAtn7X+n1HFwFowMTt6/0AOiG+SQTCNpeuJ+4dEVYZREQG'
b'MCkgrGnRlNI858v9fL5fLrNLfwblvIhIcJtds8PAUPWdFoEFBhmxUGC3XsoxAQwGTxz6lo5g'
b'VjDEiyEtMY48XJ0I83mez8JRKZOZAnmembHAhPjp0+s4jV989fX5kijcIAQzGscxRjHNllRz'
b'UuSR7OnEMfDXr9+9uz2DFgCCZJaFmJkVFqPEQNfX10+fPZ+myTJyztPxfLncz2lJKaWUck7v'
b'37179/bNgHx78/YHH/+n03H6s7/4qzCcEKakcPMAmgCvvXKXWAkvMzOxeFAk1B6Y7FDxzACD'
b'dQhjiWpvHY4FIoK21EZmZjHGlNJ0PJ7P89ubm48++khi+Ou/+ZvPPv/s5cvvZFMTfv/+9qf/'
b'+LPf+uGP/93/9Kd//3fXQgymu7ubu7s7IprTEhAOh2PKppcl4d5Enn/4nY8//t5y+XkKAdmW'
b'nBWUUlKFEg9xkmgxjiIyxMGYAqRUkHP1EJiqJmTNebGc1RZblqyJcgIMWrOxRZiKhXM8HscY'
b'NOVGnz0fBhCpaAeyemzqqX+UsAo76Ci+yASCEcj81Cm5Ol88WKqqOc3LchkmO4UhMAiwrDkl'
b'zUkAgL3buIT17PnehFVQeaNSqo6lIqboAZv+Fy44Sw6dF9bfY0UO+9RhMCiq45GIXfbtyMXT'
b'h5wnEkkIgRxOwedS7l0TJFT1crmQ6TQEiZEZUjp3lhtrejEXF58a1Cr0vjCzUS6L3ZJcQGRI'
b'KS3LoooQwhACUy00DEXWhsBm5dg0NSsEdmf/boWcb/YSuk6hx38oSb4+8vaVJj8AuJnbKyIe'
b'D1HNqrkx4QqCzqiRbWJG0QnMBQCAAHGjEkBJJbVaObU1QR8hCHT7Wy/2Ui70Wbnr5gJgCkxl'
b'IwNaTle58JguslNf6r/tv3WQvhrlHzwGkMeGmtjwiJFQQtVOvz0CUlGyq00l4qYRG2AiBOOe'
b'iF0OWareuGJ3u5/OpCTaG0ugrlq3sFS42whEpdHU+qeqh0FtNQgBAEJG1Q1qK6yQKGkzC1sI'
b'nppQ3DIkf5SZVy9sUtGomr4+uxhjUlNVyiW8AKCaAUWBaN76EExVQRCJ+bKcz+dxOoQwuIsp'
b'hpmDMAUyMnHmVs/uFlKzdrleKUFKKLJwWh8+sPG1U0dRPZ10Ska7M3AJKG41xS7fb6fxFIVm'
b'azN4U+H+kzJgEkIpV22qEjz/jTehc+o06fZhe0vPSeq+lBJt/9Nu9ag7YoU+axS61/59JsQl'
b'7obqHd8QXtNu/Z6Sxu5+2b1V3xiUr2Nb6rZ0/R71FPjwZ399t2LMXBhJ6Qe/LS1o+nQjYGzV'
b'0IdLuttE1FSZflPI9dp6vpwn9H/tn9yMivZ5b4oQkcfbqRK2O7yokWU9jT25+p+ylQSaMmVs'
b'6Ix5k2zcr3a7oRzzepz5Me7es2VaiWRfaC4Ve6q5wHrybq4urjUk2Ba6PDLgWgrI1Y9j7vsE'
b'kHPOmXLOaU7LZbmcU5rd/IODHw6xuKjhvAs5ZwlxPcwd0zczrj3j1MzITB+6YlddohSUUyDQ'
b'6XR9ff2Us6E0fnB1kIwTQ7mWVA7D8OTJs5v39/MlxzCayHQ8Hg9XzjMv8/39zU2GCgVAmUVi'
b'uNxdQhgMXAFFJiEehuE8Xw7T6YPvfHi6ejIMY0rKTDHS1dXV8XgEk1kurlAgpWRzEix/89//'
b'9l/9qx//068+fX9zgYyak2+deQDGcqgcwHMXSgIzc0tYKLylosAZsi1ZZFPX1JNoIG7JACAi'
b'DiqmtjCgeUnzeb6f7t7fvPnqy+XVd54/ffbv//2/f/fuRoYocbyergRyfX39b//kjy3rkhMz'
b'P3369Be/+MXt7W1ashJYYgZxHI7XV2Z6e3svoEAsMcYYiNiIjFiCENTUkraGPAyOJExg5UBU'
b'nFyNtwRHywwRpGSDIZt5WxFWRYisSmDyrszWWkYwAE1pKZRjWDsBuy+vsYmHfKcd0R1bLIK/'
b'ijQzD2CWzSAYLOd0uVwuOS8SBzIYm+usOSWyolhb5xnaiA1efdXWjVCkMhNsULT/5atOZ3V1'
b'9PNqP6MlwnJzMFNLza9OvloRVVDMiSTKvoNBQVRkmJnO83x3d8Oa6XRgPjCzqjWYKpjC1SMi'
b'Ijqfz2Qb1Ocm73d+ErdAnCk3DlikYMfQm1zMOQNolTGP/svVwbmTRjsZgxqCbzKMq5RV1b7I'
b'RqT3uZd6iV6mcuep9jkSEakZrbAhItLiA6jxjdVA7De61eNWLr+jhIdips5ub/oyGnlDuhzW'
b'fq12+kT3WPLaU+a9AdDETz88wb5WoZM3PvF14L7yu0m1udCqBTJL0dRh5mFEp0ligLSJwJpb'
b'3+mLRDXUX97Uqyzl+dV+o45I2rJYV3RopZtmpxnTevb9yR6vH2LcbVMRWthcqsoW2vP7XWiE'
b'F0JQiFcOmFmMvluhP1mq6scBwLIsmhavjchzutzPIUwysohYXvIiEgfhSLy6wBsBtJfaA2Wo'
b'japtzW6helpqf2oP4a16V7+ylolTz9B4PbmPPsqHwtUQaW9/+Lo9eXfI97wVBLvLv+X1040z'
b'tM97xtK/7lE3LW0jAOh0NenU98Z4m/ZfnrDV3duZ6remj1Q8JDxUFvptdk4bavHQ951V6kMe'
b'3eiddbR7LDorzq/2647k+mH0n2wHjH4ddt/tybXf/XLMq5nq+T/lTudpnQ1cuE3ZkY2qbmYw'
b'E+HdIgfaHxB6sKrETMWyXfX1fhl3VNofrrb4RNTSnPrbdiu2H8yDz8p0HvwxELe0NPUa9JyQ'
b'k+WLpiXrQmaF2cCoBm08F0BVAxw+aEWPRoG0Ne8rLB1ReQXntw27LZ0P9nA4XF9f25xijNdP'
b'TqfTSWGquiyzabJlhuY0X06nE4xu7u5ZIiSY6uXu/u727EOFprTMzAhBVHF1dZVSMjOJUYhC'
b'CFOQcRynMZLw5YuUDBIGIjajGGM2rbPwWJCEAAoE4Or0BCkL6Rdfff3d7333j//4j//hk39i'
b'PmYKGdlFp5lB1XOVt2yQwhq9UWYOIUReccmSnD3o58zfr5rwvMqc+ap0AAAgAElEQVTfcjyF'
b'CEEVx+N4nymEcH11dT5NAXmMgcxiiC+ePonHSY0O04Aq+LKpr0NSzTkfTqfTdUgpXeYE07v7'
b'2+vr6x/85sdffP7lr375aVqUiMAUQhSXRp7NV7tAevM3tURKHMSgbFAgGKkm5LSkGXkxy57s'
b'6n5cBkwgiJohcQgsA9nx6mQVZ48qcEtKKRQvH6KVrFGWEDyEUBKgu/Pfswwypaao1Z44AEBi'
b'VgDCPALIQRzJXvNyPp/T5TwcjtM0+XZaLlsiRBREuOAfOQS5GdWyWNLSoBhEROZ4zA08i2EM'
b'MpGuuOfhoejQVLzGmD0oWfV4fzAaVgy04R7WejClNobGKwUGLGnx7L0QXR73qTJGVLzjDKSU'
b'zufz/f19JIxj1JyJkHNzjhqpAVBvuwq6efc+xuh16IUhkDdk0Z23uHHDGDmEorj7Y7XGQNtM'
b'c15SmhlEMTAir1zRmYv5IrFQdYVBSmU6rQvSKATk9GCmgBK5b7WqqmaAWaknKRqAhDZsJRJf'
b'MRYQm7RwHZGQEUsZQy/SPPwBZVT87y2JeqOrmmOyMe0KYj3QdnPHQ1GNq6oFO9J/6aZAFRjE'
b'vJa7ScGastyLFv+31JY0Mbq6o0qXHAKBrZ4lZgolAb8Nafv/OuCNnkSrSl3NDBQzmrk0ruPS'
b'fzBbzubJymYMYxhpFo95MZs1P5kB4FYkARMQSKE5LwuHgZlDZD+uzAWpArWKBqAC009mllWd'
b'WsoqtLWq21sOFAs8WFwsyTYrZpTo08rcy7DM1hQCcLPtqRbCcqnhyWYKGLOGEIxhhFDpgStU'
b'qLFFjqKZiJhkSXp7ewuW0/V1CIOZpjxHJhmE2dv4rB7WXpNon3Su6CJo2nzr5/uuWD1BFoqt'
b'DUgL81xjuCscZCBuWFgtGaM9p1e4C+IKMzOHIDt1ubELEfHV5pJaz+Y47lQBS7aqdj/3pu63'
b'AGDTntuLeqZUp4NYwbX69dl9ZcPQnNdIaTO+UkunIFrLHnSvtmfxb3VlqUWoZuZ1NSWRoJta'
b'UxSaV6UMqdpRYC5mZH3m+i0rfLbtb79oPQlRdyKESgFS+1PaVtrsFnA3/XY1ztMcNNu/bmBV'
b'u0e1lNc6zlXLf+SqzykKmTfO6V/XGHk/QmXaJe82ls5Va2ERIzVzmKQW2HnEtG6swB2R/rMX'
b'+aAK9f60orondlvQr0bxyDR5scqoddlbqUbO2V1SZrCsutzny/0y3+VlNk2t5kwkMgU18loC'
b'f6uIFMQSlK72PuYQKotYi79IVevANqhxTQMpxF+P3ng4HY+4P99eHY+zmhEN0zGQToHSfHn7'
b'zevj8ZSNPv7+j5ZqlC45gYNDJjA0p/vAIEi6hCdPnszz/PLld3g6+hEQQwhBhFJKzuVEQmk1'
b'SyEU/qzk9SR+BQIQQsg0MOUXH3znl7/49R/+4R++ePb07bvLNE1BAwQcPDlig7a85tMaQBZj'
b'NBM2CASlVwaLwBVOqpB0AFRTC8/67nugyEc0hsOi2UyE+TAcj9PxyenpZ2/e/OxnP7s6TlfH'
b'6+vrEy2BRc73t6+/+vJwOBxOp6fPn9+d7y3bzd3d1ZOnKSXmkLOJ6NU4juPh4+//xm/98Dfv'
b'b25TmrPBGQvAwdzMEyMVjhwDF5+YM1VjCUxZoVLK55RYgZTzxaCsGVDTbKaW1ZCnGCEQEYUI'
b'y+FwYGZIy/QhQPNycdoQojUCwMzVOAdQ8mWxtY+33GFlDWBCF2TpGZlpSpdzupxF5Orq6nS4'
b'AknOSQsSKguzcGApqmUJMnNwRZbIkT434ex2dAneF13qgHccaeVTjYOH4Dd3/rnKkra1DC0x'
b'1HditUH6k2amqsW/5VmP3RsVoGpLmKku6ZLSLIwhhhAFxZXSlKK1RhPAcpnP5/PpdOrbFBSa'
b'YMFmd6wx5Z2bjYgsV29N9aJVu2sjfvol6re439NKlG3vrfVRoi4R1u9syRXdiYWIsACQh56L'
b'ncRqnNhWXWQVdXWhrUjqqgqUTWwWBRmTyGM4CagGDKoxAKiXgMOs+HeqzKsnx292HJ19SOEx'
b'oVuVqgoU2S/vjlaLFAE3+LxvWR7r/t3/DQ+XlcgsFxXPm8lX978QzBRsPusWcxORUCSo+hqX'
b'qXGByvFSb2FT1ekwSPHp1W7ZVacn6g9TTfV5dEpbMCjrkEalI+YWXVx5lDtEVYkoRqEWUSqU'
b'sKraXDte+/hFxKdj3aPILVKGNzCOYQhB7ZzPyxkoXY1pjKSMkImGQKwPdAXaeh97faK9qqnv'
b'7VT2btr+vBCRh7NRX7Ge69oXebfv2+l0bpHuu/2p74e3+6R9sUU+H97Tj6fnPO3zVmLR/Jf+'
b'9uaEKy7zainJdgr98KjjQo0hdAdqv/79OqBL99/JtbZT+y/W3ekXbRcB6JexPN/f2C1gT4S0'
b'NZn69eHakaaPfu9mt1v2b9uyfrmayt7G3E+hn/VuwR9eXBWpXQSgX2f/QYGhk4aNGJjZKjpF'
b'W3+riFjtZnQ7a9t8J6vljN82zq2esFkxK8iu62jbSXw4935N+g+NN0FXAAXkoxCJmSqMwQSF'
b'abKcNS95mS0vpl6HYGbGISiMObCQMYJLlC4PzSwTR1UdmMXBHkDensyvbzPD+jX3urvabdCI'
b'+OrqCkx385KNUprJsgjlfDtNB4IcjlfT8TiQeIziOgQHKiUiskXzGIXIeLkM4+Fwc3d3un6a'
b'Ed2jL4YYIxFyzuPxEMNQvgi5zJfokA8iIlFi9WKwcIAayRAjx0Bhvrx//fr17/4PP/nb//6P'
b'kJiHgOJmyQONfopB6kFFIgLUcrEEDIq8NmV37sKRHTa4mb7DMLgcawEBq786SQzDYFaq50Uk'
b'DnKYpkAw0zSflzGy8nQ6Mux4nMaDmwCnFy8/OJ2u7u/v7+7u7u/v86Ln83lJSVWTYRrGt9+8'
b'effuDaAsLBwyzOtSmAQxDCIkxub8TyEsYAqkaWEhMyOI0uqdHIaBEZRJk6GqpkzB0V+zImmi'
b'Mcbx4JPiEAGnPUopCXmxaoEN3lP5w18bXZZfpbuz/imvlUxOfJos58vZO8NdXV1dXV3FGLNC'
b'KGRd6iYRMwsHc/RlYi5dg2Mo1Zuuh3W6NbnDVAmhGcQPJmJU2LEVCC3ydTLuGDSqIii15bhX'
b'm7hOySJO/jUDsXKKjs+7+HZHGhV+SuJdZAxEDt1KCjBoiCLHaYrDMAyOlxQ5AnDUdYgRQEoA'
b'zuczM0/TtPOxMTuAOgFggKmkWMAdusW/ZEFCEMqmRBaYHZdXiAGDmhCH6JA/Ci+Fp434dLPH'
b'3WFEVOImnQaAUspW2R+RNyh0tCV3iksgCdLJHsCsOcOJrSK3KlenWhHGvqnmrQWNmdxiYOes'
b'7BPaMLstxWqH/uk1aQ2mDWXHd8pTYSFFIXTGieJWr4sDrvg/JpDWC6yZXP1IALgFyLJi5LFB'
b'qu8UVFyCtB6xtXdyGVs3KS4mZS98VmZX98WoNgqN7Bp+Ju9kV5oBlCmbFcAXkIqrwabqXDUE'
b'pgDUZGUDB7d+CGpk6lmTSeeAHBjDMHjqGrF363WjGi4smbkQhjExo8958OYm3GdneswqZc2Y'
b'sebr05r74Uq7dXWTlk0VIhEAAnv1i7jmg2ItE5M/zYvPmNnBDY3FgGQKYAAAh5Us+ihDmAMp'
b'lvPl/vZuHOM4xcCsqiklB0JC57B3tAIlQ02Z4k4fraxs45/rabhbB6xngYXcU2ZoZRBclxEo'
b'yFzUvN22KTxo72qKbB8KaOfOKjJJT1HtKxVXyjfWfFB1wOYO2T5wsZta28delMS44k/0E+9z'
b'2dFfBe+hlZ09ov81nZh5o5U2rwQ9cCWUyT3Ij2L3/Vf7pA2mTbMht/ZHco3k1Fe3L/7LinV7'
b'bEct6+LwlrfsFs3H3K9w+zozlxgfV1iz0ru68zJskRCle2x7OAAOtUW3qkN79cNgIreH205x'
b'yX7cE8NuKdq7HLuZqx+EiLwnrjX+vPWMoH7ybesJoJW3SS36pN7k6OzSfjDfuhHbV9SLeg2E'
b'QZaLAWBZNSVoSmn2xBV3bajZku32/vzZ519+97vy/PkzkClZJEA87E4laLUZlTHc71hgnB2I'
b'iai5IxvUk2Mf+r6aBAmBiYyYDAg8gukwnYxpnkNeLpf727fv706HY5ym6+sn58syHif2dNB4'
b'sJxLzqSJBRLKllUCL0uO4xTGAzJI2IzSknPOMYbD4fT9751cd0YLLnk7W3AooJAGycyOKGjT'
b'NJFhlCOzfPqrz3/48Q9/8+OPPvvqjWCgISz5LsYx2CgSp9OU85Ius7NxYkMwTw0yMwpVpS97'
b'BzJRKFEp/ydGYAEkhMHMCmC/F26oZdiyLEYqxEGERYdB2t6NMcQwRhGJYQxDTqQ5m1lKKWe9'
b'isPlcqEg0/FK4ois0+Hw1VdfASDNb968NsvXV1ff++ijOSHnfL5cUnLTxWC0XIyDiCSPu7oG'
b'RR5UodokHEBOTtceHRQeOAooCBsHYoGmC4kYiINMh/F0dZCalI7yspzSTGREkU32BkDPCx79'
b'HA9y5vyTFY5QIBKYoGaal2U+z5fzdDieTtcxjqYEsJukQqXRSP8ohwpr/X1dJAMaCrJbNzzQ'
b'6u5tLHLvYd0EAVwWlCfU7HwAbErMVDL3Vg4YKrRc88B1AyAPG7VGWkUelLYDrj4W8UpszAiB'
b'xzECMoTg+ZExRlpzN6xpik5V4zgej0dnXnULrI8/NnbfOwN6EWg5m1kDQmGHQC3Cft8ao7Fm'
b'Pzk9B+QHjqJ2wNr28fYCNtUL7Vt9DK8v9Oylfl1vkIKDtPyJMjsDhMLa+8tom/DTlqLuyCPh'
b'i/4CdDUvYQzdqdqdhFDhLjed1zdy9zOKRmV1pcrTpEM6ok64dhvnyllBGNyKnHabY8v2lQJ7'
b'3xWVvLOsmmAKEcfdhSYyhWVoVk2mCVBHo2qE0cQnASBVzYFC0dpLB1CHJUD1pnskRonAxsZF'
b'YWqBdR9Pc+o3Bu0P4bUPD9zV46uX0+wdhf2QdvorUa0EqPMlJ2x3DrW3+BiGENfC4grXyMyR'
b'Q8tOKQKjFperZlX1ar3AghBM8/n27nic/Dwi8WKGSDwdwxCBqipRU5S5juGRDOOHPNY60Pd+'
b'T3dHw7bZIO0eL/f3T2rc0jlryedpXvZKmUUV9jGv99cnt09kzV8qV8pL04mrA7VYC4+SYuMD'
b'6Gy2XTRgN2vqELpWttMBp/LWtumXop30h42f+zt3G7HblLbs/SeNQ7YFefgQ2h7q3QT7k/7w'
b'Q6r4Wj3XpQfXTmHdsNYaB6ad/dZdu+c/NNvwINLerwZqFzBDwaT3gyydCK4ODBgsAFyhmAEA'
b'GznVtPPqot6Mkx7sLxGJlGJ6Z7+Pcmn/OYTgTbtoa13v7nm4F23i3Vp9q/H22PIqiKGsqqpp'
b'uVyW5WJ58ZGoWTLNaufL/P/8wz9+/uXrH//2j14+f351OsCRQKW4rkWYWMzWGrBGc76SKO04'
b'Hh+edZBZzt6Ph1FiULBlE4/zivBhvGO6nmfLejxdz2kZDhMzD3GcjqMRhjgREUhVk+RBSMwu'
b'CDErpuMTcIwE8g5FJCKi5irsqnFKoNPp5L1WmnrW1t8Ih8PBO8fHcBqvxnvoP/zDJ7/3e7/3'
b'5etvwBxCJB6GYUAagsQYRjMjmuuOBxYqmL6oqE/Nsw+AFIjUocsQsWOZAHCbnTkgGImRaRhi'
b'SsmSkeKrr76Ih6MIhRhVFYGTaVJEtuUyh3iw2kMzsqR5GQ8TEYgspWQp393dMfOyLCklGSKx'
b'/c7v/OSP/vCP57TkJV+W2a/b29vLku/v75dluVwu5/P5MicPDgCY784rlXqGGwyqakmIGWQw'
b'8qaWEDIa4qgEGE1jPB6PUxwekmhDpwDXFCCqzvgH1Pw4s3Oq8k6BVGssmHkIHMQbMJvpfLl7'
b'ny53Y5RpHESE4Kn6yDkz1/S+QOLWmJJwBLMbX4WViBETgR03iLlToYo6X8Mi6+hNShZ65TLu'
b'81hnUqPnrvoXM8Cr6w2oGBEdu6oHrz9qIDM2SBWwlQOWVAQwkF1hMtOsORF0kEAsDELJiTZm'
b'DswpFZAyYSjZ7e37+Xz/7NUrEcp5IaJWKsCOdVFLkMzMcoJrchWen9lbwHAIITtCEZuIWM7L'
b'shh0nGIPP7cWPBCRViB2M9WF3C9ouckZ651MECt+Xs4pZZiZxRg9h5s63aVpAB4CLvYXZxhZ'
b'be1OTUUI8M6xIQRmmGb3OUUhCtHtDhAILgsaWP5aIMhMRKFx/zrgOhgyNxXNzOt4StFJVS+I'
b'vLbBlVGQRREhRk2+cl82oeUgMZvl9iJUGwaAWpaKD4HHtBCnSWdVZiQSV6u1E04VQ1UrG/UP'
b'jGuT8CaA/bmq6g5TzQuJMNwAyIbsGK9Qa2u+Q33VvDCzeH6dwZCKDk1ERNmy0x0AZjBPDFJL'
b'ns3IITYbu0CLAwJT6LIsVPPQUADoGbqyGoW5g1lEAE15Jh5CCNAiz5yqVRXVSY+q0S7Lcjwe'
b'm63b8j3KyqgBGIYwDOH+Pjm7HIYBQxCRYRjM1g5FqL46OAUGyRlm9u7dOyN98vzFdGACFHNi'
b'HuggQ3Q2GYKoKinGOCTNIkIGrEV9BCDnDQJvf/VKbTs4RdUmaWFH5n0Wh1uHrmKV+7nUXLYX'
b'FbtIIRyMjUqYjZvnoqKg7rWiXo9k5iCRqPaIJfGciDbOVivfBsY1zEWovLEqfDDzlIZ1LiJa'
b'INLXh3AQXtMYWqDDcya5/7qfr8ih0YZ6aqWnl3iigqsmTGbmYbHaEsiFnTjNt3FWDrlq5G13'
b'msLdbMte/17zZLae5k6t3CjZ5Qho699Szphrg6j9gHdqbk8/veEtFexBRLwoqzfD2hebzd+1'
b'gxRVTabMHGkTmiCibFjmlJOS40sykzEAB4Erg2dRBYkSwcyUtGQaGwJDtx6rtj6+p+7Usa0R'
b'0g/AzByS2BenJ842l34lXbNsZ4q3Di/qfEON5qW6/NAOY1dNRBVZyHefY6gKCKkqowj9nF0y'
b'z+7+bzy2pp6QUQTrN2/fvfmLv/7wgxc//tFvvvzgxRhDFFFNIQhVPuYuExZJKVWzNjBDLVvp'
b'XFnJqYdtlaItEMGgn3/x2Z/8wR9dP32SrPQrYIERqeqrV6/w499O8/L+/dt3b97EYQjeqvd0'
b'isOwzHOMwSxfzncUxPJs+TyOMRufjtdZWSJl5TAGygrowIFr5Uw2tIMgXuYpLEISPJ9AzGwY'
b'Bj9P0zQFPkbC6ZTe3bx+9+7t9z9+9U+//HI4HqNcL0sRr/M8E2MYJiKp4IGuq2AcR1UVQQU+'
b'xLIscRxTWlJKBhISUDYCsYDA3vzCM7IoUAwTRzAdT6flskwcT6eTqr59++b29paIABaJOedp'
b'OhphCBRYyBBYDCUpQyqBzTkl0/v5ogQemAWqGoQGSeORMERcR6IrciDgrgAp55yTzfN8ni/L'
b'spzv0+Vyubu788yiy+XiRsKyaE4ppWSW2eCucBFKUDMbxoOIMDCOA4AxRPZKWxB5PbTrFiHG'
b'/oCh/tPOW3/2+hNbDoYwVW+ciBAbs0eezDQt5/t0PqflMk3TOI4cgyc4+H4LWdFkm3+RWAmB'
b'm1+4mDVNl+/H4wyF9jCgRtTzC2uqmN9WuyEoAV5bbdCS+JG1KPxsBBGGl2ma9Xobb4ewd18R'
b'UUHxdwZpSlDVlNOsqmRqMDaD8zg2AcFKAM+VSIBSSjnn4/HoUfKtQDXP6qt10cCqxKP/pK1h'
b'G65W+PY2bL+53VbEAzZX/yh07sPyLXbrs/B0NK23cyc3rurPo1KOA3QwRE1WbUmu+NEbMoxW'
b'7F6BlN4QBgrVeoEPnwCCmVlmDiDhbScEkLZy+JZSz8wiZCD3ZxMxiT3cXtl/sJ6I3a+olkbw'
b'Ljlk6PIWuPnz+2+V4/CtVyl7Iq1nYXWx78Skw3MSgSybZYC5NNVW00yWydQhyEC12PcxRzVQ'
b'Oon2wjXnnFJaUgbggGyh5L4ZgSgrQpHK2vXgbNrSOs6tKtPPoq2hVdc4Vy1WC6JoGVKMkbi0'
b'gzUzeZABYqtFAeYSr0spCUcRgSgRFTg5mIgsuvgX/UNTJSCEwUjTPL9/C+ZAkPFwJFbLi8YA'
b'9eevheAAqu64ic7xFm+Rtv7mtlbtYD5KY65X7yIGALwWoyxdK5TcppdwFw0IzBvf/jYHaaWl'
b'7Rhkm8LeBt9PsO0dtuA/Kx97zLvkfzLdF7m2jgT9UKmqiY/S7TqYigeyfrGmge84ZPOKuabS'
b'PmyLtlsQdFGUFnRqg+n5pP/QHtU/wbY6fXtU77ttN/d8e0c27eeHq93WoZ8RuojNfun6kEIH'
b'UFsYuOak2TUmrpYndWQMQA3MeU5LYLo+HZ4/e/L8avLoHHWGXG8DPNzEfqHaJ/0Xdzc8lGVm'
b'BpTmYm3WTYC3r/cL61eVp9XkYCKsJ6J9Ts1CaMKQVq6lmkxVl5RTyjmrZf+ysSfwCHNQmMfh'
b'v/jq62+++ebVhx9+/zc++u6r7xynAOKs2acCcU/5Wk9P7p8yJTKB2H6piGvHd2YOxMysy8yC'
b'w+Hw6sUrCJNlZrZimkbnV2+/+fqv/ttfmlkcRM0kDMZyOF4JI2eZDkBaTLDc6TBGIIR4oAhR'
b'sHdkPQ6D8JIu8ORXoijuJu7Mp45iG/qTEIcQhjgxiamF4XB99fz//eknf/qn/+6r1++JdZyO'
b'ImO+aM4ZQp4e4iyXiJg2p8bMpPZiijEG9vKtTASo5RxU1UnRzIGB/ayBOSiy9xA8Hq/uc37y'
b'7PkPf/xbn4/jr7Pev3+XVKMqB0qaBGJm48Ah8nKZowQhGuMAJlNKManq+/fv53k2s6zLOI7f'
b'vHlzdXWKlMcowjEG9lRbQVaFGJhpZNYh0BCenAbmJ8SBeW127orQMudzOi/3y918d/f+5vb2'
b'9vb29ubm/f39eVlm7zVxWRaiwIzDNEUJyIlqUoblVDZdQojjmohpNReKa7iBHrDX9dS5YVza'
b'NBiAKEzkPmijPKfL/XJ/u8xnYRuiDMMgEg1MxB2OYuH17oSXjsM74Ep1vPut3svLAz2tXy+x'
b'bJoXuPqOgo9Oxcpgbmn8BGVTT2F34BNSM1NTdRipklbEgGXUKqK6BC3MvWa2OdYmG7okDSMi'
b'RYYZQXNKy/liUDKlCi7BUFNTIm9XXlIRsjKzaWKyw+kQIpumxnrqHFe2Tmqq6tGDtnKeO7/K'
b'PKk1wtW+FGGiWoeryhVupXF/AIbsTh2sHqO+Lk2cB3HJIfby0MylarMpPX34GL5KRsi6zJcE'
b'YBhGK31kDYA30+atSwybIlED1LPZ2VPOtyk0cK+iWeABxfZTs63fvbrSazrxStuVkZdukI1M'
b'QQoCI1htDQyyCtdDDorsgbD6IvN+2lXPQMvoZK49IgoPdBa2cTE+ennmD1OBkSAyKQ0quq+4'
b'fev+SxAR2LtLOxtmZhR/Hbl7XsR3xDFTuRx6SCkX1grxpEJWbq8uW8sJgApjtBgiJMDISAET'
b'kDSvajnFYEatqSBfDW8g3fCLDFZSlTs1FGqQtWSWW2oZTDWzRGb2InlySPtoYW0J7OKZpORL'
b'gUBjHIYhLMviJqUYMfMwBCJyq1QgbKV7sYiswWKmnPP95bLkZEbPXrBMrKpGMkyI0yQkDWOE'
b'qIkoY26F3WF3jvo76zazmVnp8kEupNftLQqxMG8QUNzSKDxTiCs6fqHqbXZc02UdoyCE4DTt'
b'ObKlka0fhLYR1WStx2MlSv+lKV79z1wRSLjzGXVf3eSWtFNfKxs2r6vuA+xe1Ca1uSo8tH8d'
b'nfYPwGtyuHvCjrrWn9VyzmAqQVdaIeGZvdyjstiSduWnkQH0AJhtwXeSdPdJi1n19+wMj4cr'
b'sJv+ysT6I8BF1cAD2uvZToGsK6fT6w49OS26fuWM3eF0u/HIbgwAcs4kTMyn0+nj73//yRiG'
b'wIE0BEklAryZ6eM6Rv8nYEfwMcbKyVd2QZ15IDV1ljrrjrb0iXr1y1uJzRlW+Tu6QSo2bhoj'
b'BG/uISByKEQ1TZZyykuNAJQSnnWmzMzBiGEgGQ344uu3X3/zzavPXnz/e7/x8uXLcYzexmsQ'
b'MiVXUwoDJAVtjEN6cElNHQIpM+blvCwXZjamEAMZCRkzBQwcoimFEF68/M7V1dW7d++YeZym'
b'4TCpkRBEaIwiQucltQbYx8MT75mNYIfhqKoETaZt2UUkBGGOZSW9ebmxoeCgKYyZPROBSGKM'
b'TKIgwsBxZJJPPvnke7/x0edfvIbxIFEjmIRIRUJJXMSa4uWaQwtkSUEeIyKKzOM4VhlRUInn'
b'eU5ppjYSImE2E10QY5znJHE8n+dhmJ4+fXr37NkQ+Hx3r6RQjcqR43m5J5FDECK5vb0dD5P3'
b'qFBL97fv337ztab5fLlTVQlBzZ5cXf3lX/7lzZtvxiAxjofDeDpcHQ6Hq6urMMRnT56Oh+k4'
b'HYbpsM6FyWyBqtvbQRBGPkyHaxrkZSCBrJBQKSVNKV3uLklxe3+/aL69uzscDgCCyBDGWRdm'
b'U1g2MhJDMNCa0GxW8EAcW7TTZjZsojEdFwltA5hdFQcsp/k839+n5UJIx8OhebIJ8L5LvREP'
b'1MjDt/F0rBd3H/Qnecc1aj69uaXchs1kAjMoQGaZXXk1NeSc0+oRI3W8APek+YHyw15H6FFL'
b'CA/MXGt2UGbDJWGaCWrZ0pI1WU7MHEuhsFIn86hCK7Tt9JhJPTZ+p4kEqrW55UPVZVlyVlRv'
b'Om99Y8ylLtP3t9bObyRE1e+3nHQrnADUkk6XSVIWp4i98vzeEN8xVmdFAIxyztk1sJRySsnl'
b'yjRNfnr9C70Ya7TRdlkKHoKCiCm0UpD+jT34z0qx1ZConzsupGs5RmRumFXEyQezYDC0qD2M'
b'1tAWVRN6yIsfyGj/MPThBK5qVB3b3t24DqAU/ioA4f2Uu8OkQgRTQEEKM4U3jgLDwKXOgdaQ'
b'136EKw3UIt0mtmOUcRx9B1VVLQFBAoPEiWk3eP96idrX0lW0mMPGflu/yF2WRaPqHUn4FVk0'
b'sEM5WJfeQERcIS+bGcnM4zg6LKCqammmY+357lhiEhGICEXTHpUAACAASURBVAmTlRox4Uhk'
b'dzf3zN8MwzCEYBLS5d4IMcYwBjHTqoNZp21bJb/mPu+n2WcEeWpNVShXiup1vh3Z9EshXppe'
b'JWI7d209se3YxcyoZl//5D5/r+fw1NUYEK2byIXXoJ+Xh1D6T9p7GzntZEp5bAXY3b20Es+q'
b'7XHnI+8H+fDhu7f3A9hxGFQt0Dxktz3XbcptiZr7v39Cm027rS3m7lxzd7VXPOR437ZW1J2L'
b'3Qowb4I/qB79fnN3+27mErMueEFqsjZB90H2J7HTkH0AodmERDSO47Nnz44CTXeebugVXLs4'
b'2Dq7RgNbBkIosISti3CZgq300DP5mr6V93+i9Z6HL9quf2esNllZsSd6iuJi1RchqKqmmnOy'
b'rI446UxMVdmcAFZKYDgmJhzuJCs+/eLr12/evnzx/Ac/+MHLly/jEIO7bR74+VX1W2LSRERM'
b'QmwuoYYhAEjzMs/nJ0IxRoYYciACiUhwH9E4jk+fvXj3/tZYjseDhOFwHIUxSGDG3f3t5Xy2'
b'i4UQVHE6HIwHCUbZgoRSggW4f5McezS6O4/NbBgGIvJZlDgGjIhKQblwDCkE9owMAz19/uLz'
b'L3/90fe+f3U6zJmyakrJU6YreffWWtFk+p6GjZ+LRKFVOREJgI3juCwT1Az5cl4M2ZRSzjHG'
b'ZVm8BulwOEzT9MGHH57P53fv3mUFwdJ5vrm7CSEMYbi+ms1eq9Gnv/782Yvnh9Pp6urq159/'
b'dn9/VtV5nplZhuiVYznnly8/fPXiJUjTJeW8XJb55u72q9dfA1guMwkzhIRjjNM0HY/HaRqe'
b'Pb0OgY9Xp9PpNMTJwejcwROYidBQuYbAQxifXj3N2b4rQsLnvEThkLNjkQtzjDGdaU45qU3H'
b'0zBdRYEnRpmpknpKmVUV8ZHLqv/ECNagPKU0EWPSvMzL+Xw531BOQ5Qo7hKGgVnEYfupoKl0'
b'9MosQhSoR3ioh9OTKPqW10JUpHTPPeF+Al6VDPdRCTHVtO+i98Cb4pFnfzPMLLMgkNBaxedj'
b'2JURdyxAHJfGddCmMip15cXQDFMyZXgb2+I4d27iKyqBoDAyCcG96eM4Dh7Rr0ipRsbGxCZc'
b'4dXgNQtGttY/1DFYk8pCAlM/Jf5v5NIqj4jIs4G5GVbmsrepaMwsBHdn8+p7REOTEIlEAKkh'
b'E0Q4RiEwZ1/5JgyLlxIMeDM8UMFRd9qRQBL+P8berUeSJDkX+8zcI7KquntmZ3e5Sy4PxQcB'
b'EnBezoOg36B/zzdBBIRzoCeBEHcufamqzAh3Mz2YublFZPaSAUxNdmaEh1/Mze36mSFmmvJm'
b'68AQMTeI55qIeGnNSoH6GCTkfMHM1hEPNj0V43gwajGcKMUwlSjNZAizo3ugleEWE+vQfDrE'
b'uDYBwmogCz26MfcKVGS8i7w9Cy377gZzEjpfMUjfDwolIWIh13biwDL1wJwyFtCsvSmEuVCB'
b'aBcRFVHpEDEicvkgYnBNkTCZZkT0T/GFSillXVcAvfdt29ZSl7DRmk59xJBRkbJU6jBhWkfW'
b'7NjMZFAyIGLmop2Y9g6IdliBSUenIY/iE8BYucFrlcq8k4ch69HqHKRHw+a01kWfnm97a62p'
b'EDO3plEh24IFnJAKamUR7L1bjOlTqdfr2/Xt/fOvv6y1PH38xCRtu93MocMLhzoV24d5ZOxM'
b'wTAT7ahdcA6xi4PtSBsagFaEWSU3NTutueri7KB/2xiECLNkZklBSsFLI/Y9vmRmr1zBZ2FL'
b'D9J8nMeR6XuIOQzZK8TQ+N4/lGo+HIFiuB1s4YkGOO8sS0elnGUgcp1Bs98gRGEzgoSMeOoD'
b'JbGYCrMebohu5yFPMk7anQB27lDSXfPn2VX2QiIj94gi4GTUUzlrAkEkOq7oHo4qZe65E0Tw'
b'TKsOIjCCGqxac/kNE1Vj3kyIMYntMFFk6F4a+1qg0jsXNlGmautX4UpIKvFpDseLHii6AGJO'
b'4nAOispTgYEuFd02MjZ6Pu2m0/46LajmmTeu6JVaDqpLVycRVSUFQbR37U373lvve4s1EhEa'
b'5g8AtZTNsgFQGGyO2FIX6rQL/b//389//eXX3//+9//wD3/+y9/94YcfXohVUUySI1EomyYG'
b'MGZum+fhuAQydNdlWZZlMYtnIa1MqgypdjORFoYF0K/rerlcSq1LXZnx/Py8VAaw7zuBL+vz'
b'z7/9DNCyrFxrE/ROrSvYwKPBXLTvqlo8D8fmZtIkNJnnvYaJU+Dteu3yBqBQJdWd8MOnn/71'
b'X//1f/1f/utvv23X9/dlJRESERr++VIKIKZgDOuPAvA9xcrF60YrilXXAhUqbJgfC7E5j9fL'
b'3treWi+3Krq1Jto7VL59+/L8fNF1+ed//ueffvrp86+/ffv87eef//319Su0X99b278t6/r1'
b'69d1XX/9/Msf//wnLn/6H//9/1ah3//+958+ffz69dtf/vKX19fX2/Va67osy1oqoJdVQnw1'
b'74S0JgCpNpHeZdu22+32/n779uWrLbTbwgpfLpdaeVkul8vy9PS0ruvT09Pz87OZ2jtdlWCR'
b'sc+XVfu+ris1Ya4FdG19l06ldMXb++3//L/+tQaB9t5heTP8aAfeXdYhBMeBkkrf9+32vt3e'
b'e9sqUJla37iV6ijgxSV6ZiHwMZaUaFQW/L7ZJrZlEBalEmBpY4uIKjo5z4hY5D7sMwpYzLoA'
b'AhIuoBFOlDnI+NzTPwlkBXHIgkOgUJcVu7UGUZEOkW27btvN3HDMJfA6Yn+Ko/Q459q2LXSq'
b'ObesJDTYZraY+plUSgkIdJytdIenouUTN4yfTowyeG10+8RwgxLyK4jIdAzWwyMYq7+uqwX8'
b'LMviJjQ+AKHoEJjyIZd+smUwMdyCxzy5JMyZlOJT7fl8bKQjR2AZxdrVQcEsWhdBipiTJqqc'
b'jdbRzmk2T/12y1NKJst/D+M6tjRn9a790yvzJDMAD0BSZhIEHgLDFeQu0iF6XzYv0z+N6GEz'
b'5YZ0DMAUgNvtZmAXVVeiaZS1oY+jHUghv8Y2glZHlSbk3c3MZncMzEGikzlz9LOL0AQJNQHF'
b'EsvyQuRZNfITWDIxMCAd2TGCGhFhpKvWhbvWqmLxgeuyEtHt9v7t27fL5VLXZXn+2LRdr1cA'
b'Ty8fCi8K86EeONs9Gd+t+4GjngSs/NRpwU6CCxxnyRYA+acsoT6Uomhc9y0zcwTLPiSYcWcZ'
b'zHemYj+8TkpabAQvTDaQf08vGmOcSssIITjzmdMoDhN4PFnyh/heUlmVvGrZvXlia3mh7U5T'
b'z07bIbKu7RW5RElugQYLy8N5SD/xOW+xsWSH/uQZMIZCgdubOjAduTz9P0actr8ECkzumrvn'
b'rFNBRLXWDx8+XC4X3qw/hFHIM1krDvqn3o3LXg0aONFpI+cN9fCMoLv6jKdL72jsb19EM95Y'
b'kvVdVQvDysx12Q21Yt+3vd1i9dXMkSKKgqFQcVm7AXNzAfXepCvWpTBwa92Cgr785e//9//t'
b'v9mAcnc9q2QWqskXq3ZHUtEOgEH7vhNpb7tx1O6BHiAiiN5uzWIU6+WprJeyLh8/fLisDhay'
b'77tyKUv99u3bKu2n3/2By6K9y6hLwGuh3owtM7PIoeTcXJ1jHKClMpGXz9Ourfe+3dp2u223'
b'fSn45d9/+/x3X9blw/PL8r7r1m6Vl9CKw8aXtpWHEVKU5OtnZRUAUd2iGBbz5cKXy0VEPnx4'
b'aW3b2w1NPr/fvn379i//8i/Plye2ss1cP/344+VyeXv7QkTSlJkvl8uvn3/rvb++vn78+FFV'
b'P3z4oKofP358eXmBAF2ur28ffvj0fHn68uXLTd+tq7VWV91UVdWAKEiVmS91fXl5KVFhQ91k'
b'4MXsoSLNDrsvX77dbreo9UREy7Ks6wqm5+cLrfXD88sPTy8v64VQusqu6F3/6Z/+p+3HT0+0'
b'/9tf/1ppIjeEO96myf7auzN2chwbU/qHn7632/vr9vYmfa9MFZ0h2lR5pISO3SIihpLZAYpC'
b'TnYM3G3R096OrXi/qYPKMCRsZ6KJC3tchKolU4o0i4wspQyTvyOg20itMlvPnBekIsbPjH0N'
b'wc7GKIBVLWxt29/f3/q+l0LFtFFWVU+LMc8ikvHJ8rtXywzyiFWN8p5mWgrUFBGRLlAlJi6k'
b'RxGRiDoUYZELn2Oc+l7b+DyHfmZ08ZVWVToz1gPLttyU3sIBJ3eFXfIhqqrMvKzEzLWsAwSA'
b'DNZKEpPN7COtuJJXHTmcu/Pw6B5qGYdcPkHHJYMdGc2rIWshqTF5rqL/NpHkdk0i0zc8/T+4'
b'DDySVlRFtMz3Rv1gHU/RUbzQ5BY70bzzcYUa4qaqZbtktWfu4rSP3OAm4iqzuGoVLbs/wbIA'
b'yM8D8gLI53mQUUzHeE3vXdRAM6UYOs14dWx2QJkhXabvK1Xr5MHdbOPFo8YQQwEIOc9PFRUo'
b'xPUZ80MCEEtQ9vzdWW8Ljgg3JsX4bylFR6IqkmFVRNXRxlxyqrV2UBOtgsvlwirbfn1//fr1'
b'Uj9wKXXtrNvGZVl5rZhrOuHwALi11bZFrA/5sZ65HCV5/RAqnXAPcxAFpwwT99CyBHuJn2LO'
b'JZwOR/MKJS0rHZZEVEw4UGNJSHLYIONgEkMCCGSCx3L8STyd25PZYH8exvaMO1ObTEhqbBoO'
b'j4aLh3hBlQ7zNhiKx4Xk6c0MM7MOPUow+XtbLHtLrq1uQQ2nJfOeY4baxrsohRipqtd+cmRe'
b'gyg4iN1pmR5E9agX1tSYc1j0iJpp6bC1iQhDjbdhx1IGvtaAkSAAyuRgTABGukyQRK315eVl'
b'WZZ2exuP+ART0qz0ka54zxsxFACd0LpnLc4OI5P8wuvSB4j26UTIO+54GZSLcQM+0bCaL3rI'
b'GOQO+ei8R/tI36Xv0vqouqCcX6daSrlte+sbEVFhy44EoXC1YHkFEZfW9e392sQjVE0WII8E'
b'HufFsEnpkNkwzywL8VNm3rYNoiRWqoAExEyq3WI3obqsFaWCCoFrrRYAw8wKrF0v+6777eXj'
b'h7qVdX3aoMu6Fgeb2ozASikkpaMLehCz7aPCC4YhzLi4gXJZHSTSrqS18rKUdeX9aWHpLP0P'
b'v//z//jv/89f/st/WZ5f5NaWZWGUAhJt2gYgNlktlhn0GKKpqoIZ6kAgot14harWutpq7X14'
b'59gdVqX80G7bT396vpX1/f325bevfdst3nW73rrs+/7+tK6kEAFTpcK9d2X65Ze/vr29bdtV'
b'VT//+vP19qZCv/32GzO/v93a/tdSSiXWji69742ICsgsv31rNi8gEm4gMqjzsNoAIOLL01pL'
b'AWZILeAjIiKQAfy5Qert2+v129fPgspL4YVKXZ6fVNrv//iH+ruPn9ZyWagGdXsBrJM9yUX/'
b'w/6IRSUq7G5OFdlk37bb2769VRIuvqGD0Zt+Q8Qq3aAtTWwiCIFS3PM8XHRePeSJ6JuqQFUI'
b'TFanimJbqna2Wgo2IlXVLgJYUASU1KV/D4c4C0Vzvxtmjx6C7ZLdyPddh/JgGR7/03vftuv1'
b'etW+L8tS15KG49MIgFA8Gbn39/f36/X96dMPtVYRifDrQ4cG8+oDUcyts8foZ4woAMPBOFmh'
b'QFMZOL2CiDCQJYEpzDw89jDYd4ALpXcJgAJ6+BYcVUfR5kRirnliOx3N6Zyc5nR6NSBAMQxQ'
b'yoLUo7V8NAQR7VCxWEADVbVnKRNEDM0nzTwV4uKb9kDuBzBSyR+8ndRkuA6De6UDVPnJuHV8'
b'2NGfAOfvCg+kKXBNz2+08DbH9rS4GI/UdyAgoPfd/YmQkbeSg08UQr3vtncM3lQSno/DLQ2Z'
b'pu3iYYilkJLIqMsoM2qVQqI9jlFEuEx7oK9xgQozc+912zZPjwmD8WhUBjyXDrCgDshIdAl6'
b'o4R/AoMnMrEeahCBUI5KVaUUzztIxCwiRKUCm7bee13Kuq5d9n3fv339ysv68uFT5Ytok7bL'
b'soAqlyJdI23mSH7fNTrGzflDviHnahwEpmzJpvlrTEJs/ODG8YrYXDQAgvxFBrUqh87cV9Q+'
b'dTLodm7tJLDmYeaZie8nokoyCT14xfiSmbt4POQ9e0k9ocHhVfscb6aopC76tGQIoOx9mr29'
b'0xYwTq/M3KLZfD/guuz3JjMPP3qbUsLOekg4b+PBmOPM+edSquJIRe4BG3Hzp5tLKfsIZ48l'
b'qMSte7RJFhgwjLJP62UttRPBcEiZWu82X3mB5ruywpz+uh0jyHAkWpz5ZNI/e+/Gi07Ec2z2'
b'3MKkk+Nts/3IQJBYmuIYsnb091FbHWakEfIoR2sfga7BzExsWRfkzh5l1Na3xSoMKkSwiSox'
b'k7KGJ3kQvKjUxxyFqKh2EuVS17JadduYbdMv5pCJiWCcXB0qrba2LUsRLbELylL/8R//cX99'
b'RSlMVUYisoislTuZ2VHaiEDmcYkc0sycEJmYWZtrDuplSdU8tNTkeamVyw8//Nh7l9utlNIV'
b'5BDQdpwiaDgjj8vIDBFPFh/MMFRIQ4woFtPIPGMFS5MmIlzX3vXjxxfUZSs3eTLCl+16FWnv'
b'16+q2vem2m63G5i2bXv59PHt67evb69WV2fn5QUv1jkFvbw8iUgptF2vzKxKCxOIWhwxo2Ai'
b'gFvCT6OUREREXIiUem/mRrDoD497Yi6Veu9c6OPHjyLy4cMHlfZUFwi1rq21Wnm79dWgUYl/'
b'/Pi72qEoDB5TQwIUiNEEHR2UJgmqSG9u5GUwqzbpt769394+t9s3bbcOqstimKnLZaVSL7UW'
b'A1p0Qrf0RC0W4m75iUykFihmybdhC+22bwjCMHh+Z15WSkoJAqVRMlZz0Dcg2iAq0tCh2hki'
b'RqIJshpAKVVVtTvWSki+HbBo0CEKGE+1VWHLSVIRE8vYQMrN6jKok/lSK7Pt545xGo2zzXc0'
b'vb9/++WXX9Z1uVwuoq1LH9TcTL40jm04+mYZ7QIiEtW2bdl0Z6M28aOhM7NK660x81ItqxFM'
b's+YL0nkjaU66OvaSqhqG73BLTd6hpAqWDihzIHyroisG9FL2XMoISRKRLjuGqXWciYXEk2uJ'
b'oN2LqYWxh6k6bFGylKt6bSCDrVQVEFv+NxGpKwYT18cLNklHl4kTpakp1WJa7lA1iVg976pX'
b'QApIF6ADDDb81oMBD57tYUUIzWpq6Sg2sT36PEsUC6mqcg5hH2gbftiIiIKUGCTapVuMm5ku'
b'oZac0CyzWUUgu6hCe2Vol94dH22KAi7Lj0oIJsegq1CXHRZk6Za+FMSijYdnWdqGLlc0FH56'
b'srWj5JwZMQmq7hQGanF+ve92W8kBy0RWIEKl7+tS+mXpvW9tBxXiSqC27QaXghBtpHWSUgor'
b'VHrfZGN6fn6uzL33XoiYeu9NW2lk9cAqFwZLLX1Hl45p1WZl7V3abtUfoUKkDFApWFT3tu1X'
b'Xdf6/PRhb7fr9Vq/fF4L10KF17Zdiejp+VOTLgoiLbyASJvC4iFbJ646rKRBwDbVcw+SwAP3'
b'9Yjh4w4iIpIBJGD/nhvZAHKViGZoLKdE1Vxq12a9lKKhJqkad15KVSIuGJgoDn6iA+PPhOJo'
b'5z42w7mczLoHWZgDWD0Lp2DsnTr4Z54ZJYcVp/FG8/E5jzcMVuoRVm6+WWTEVSFASURlGmvT'
b'BJCqAblghKIJMDRTzianw2ebSUrGZmbWoaxSqBmlVi5DH/CqoqpqFW5wXIuxcbywXTRFoUKT'
b'0eVY9CEEdxUuzEMfxjgWAa2VAc4eFWY2XcuzfVw5N6MCwxiwn2zD/M8gheE3EFE3J54Iw6A/'
b'eu+dqJj0xczaW631+fm5N2WG+UY4T6Box4FnMvNuox5GaxHpnqk1MrP9FO4iAlpUtSyrARoE'
b'4YkE7A/37uaA7uhoNA4vFfNzu0BPgAf+2XkzCHjyJXJQoE6g3lu9PBspd1VW4Vpa7wySvvvp'
b'3Hdmbk2g2lsHqBuEmgKpUiGYLGCYDVai74W4914Moa1w69RFCymRW6B8mPumqkzUoeodNM8e'
b'mxGKmcUO/WVh5n3fu6KJFtPsVdjQ39gquUHBhqvWewek1vW2NdWdiK7v7/t+Y+a3XW9Nn634'
b'KZQEIrKWCsViITfSqXCUJOq9EwpT9eStU3BaFxQSFaKyVHfbttZEtZTydtugVGq9LIsQa2sk'
b'3cQ2y7MAoZRSBksM8g5vleH02zEUNRhiF5t6EJqzqt5uN64Fhb0opLSX8mSlwZRYmdaXZ5B8'
b'+vgCiJXgUimxjmtdBNq2PXYuM1Nh5gpmEdm2TXsTISi1KJgtREQS0aeD9Zk0JbtkGzogBuDs'
b'owg7cuIS/oGImevCuqBWS8al3ra2XUGll4rl5caXCiZ0teLVzObSstef7D3iIpb/6ryPWNFU'
b'9m2/vt6ub7K9M2mlahZ39bwxLqVURlcVtGlrGecFqeWzW6GAg2VaHEC3m0XWUi2NXjuUCZaa'
b'Nk+LcfB45o7DARk78CT+QnbM9+C8WXqO4ye3pmHgGa6WBP8S0zSNVabPWZw0REopjOOpFq+m'
b'0tomIl+/fu29PT//oOhhPLWdfHok/kZXOQX9A3AQGzdWlBhaMFsiM0kolE+9YhPX/BFnu3Me'
b'BluMd7VdzDuW1GiKpKtwUeU+h+tqyAmu98daKJRFUQheNEAs1c/G4n0oYWATb0RGlIIGgs20'
b'iWYG4Xam0TNbUFJPjDvB2lGKeiZn3KLmtdBCpNAyYmfGEf4oTlo9SwxgKrB91IczARihOEFU'
b'0Ysx55JajsBWAYp61m4n7e7QUGWIMlRUzHfMDFLRTjqd2r5ec6+JaLMP+74jbY3jlAAjYMb4'
b'dW9KROv6VGvRPWI/oDopk49qW54WGU53wINJxuuklFIKdSkisosya2V2DScRpLnKIgLNIpU9'
b'aigRJM/6D52Il8JtWYDdHAhEpIOWurS29xE+QRZWE3sBdsag6q63t/fXZSEqywVlgRDAhcpS'
b'6yrq2QVDO5W8rAdmnS4j3/xFvjkznNmazt2dYrMHhz4G22STfzRy4B6OOuChj5rMGU55aTfF'
b'ls9Ekn+9HyCGgEvDwGQ32BuzTdqXOMWM5Z1oH8b3g+0nuX/2Kv2UJYD8lgf/pNn/+yGcOhnv'
b'utN2kFObJOV4OIzywcR2Jg88MtKf3h4b4QFh3J0U8+bkC8rt5Hvir2sUqm1UDCxwDEAyB+zs'
b'FFu+HDNfliXGzsxERaVn3hj0CWCktM6fAChToaIEdjxOE4MUpOSBbzYhPHLNp6MSybhrcUEh'
b'/8FPXgLQHRnvvJQ09Ks8z8MK4uUXvYusTNyMjRkn6hJedBrxpur2RDWeb8AhOF7DUSAHkxmh'
b'q4kc5gIBCxgi6DDbzR31Amzm3rKu0hoRVlNXDMEv4Efcn2NHHJeCsBeYMe/JkB5kh/ZCcnvv'
b'IKK67IriCFEpsFAEgAUvHPaUPsTqGH5IZhqR68zcWiNRS9AiZi6Xuq6lVjJdkEADCEiHsTKb'
b'LDP9DFvkYR/F1pgKWOqVl1nlal13da5tve0O3QGBg1wzVQW4dd/yhttjcRz7vnOE7hjgpJKK'
b'YFQLJWdLc5YenrPBT+xXyx3gtHOneSBx+1i+WmutdVmLnW4iUgikP/7dH/4oIs/rZVmWyuA2'
b'gBpccTFzIg0RbUTSOx9VYIDZqyp1kW27vr++ffnabq+QflkKCrSLOizo5LYM0qFsGaSLEhFS'
b'uStyFBoXSsRjqckln3Czdpi12FpO1B8cduwehSorRFTMEGQUQY7XGySoKiGRBho5ADbIeauZ'
b'in48n2SIiwdZLY4cU75tl5IeRLp5P7qIXK/XL1++MJNlkAxVzwxrLvzl/Aj3SGknUKFlbjAS'
b'QEncCmu01ge4CZG69D8P105EI0BRAVCGufAgEFHVAqLkN0zjhUWYgIrqzClXB6x0AQWAZaB2'
b'8c6w1dzSuWqxD738s7mlzEjPHu5tJ7MCyZJ3mPOxgv/xlXaNjZs9ljCbyuYRcFCy/0Zr+eDU'
b'oSz5P2koH4AOKCdVV2LdaDIiizBkmsBROb/asFDIzxgdbBgarM2/U1XLNuq9s89bIkUPCJ80'
b'HysiIgsbgvjkVsErTG5m5tt2e39/X5cnfrnwmIQY++DXPhvMXNQca1RKKTy3e05koRF4sK7r'
b'3rYBUcDE1DtE+qkzbmWodds2GynVwtWQc5WZa60jpM4HxMyGfbHvO0PrelHV2iEgEjMQEFEh'
b'UIcwcwUI2nuX1tenpfCqqtfr2/7rr6L06cdyKVW3/abX9aWMqe9EVLmoWlL25B4H4svaKRG7'
b'UcP7GexeFQSKCFdg4H7Y7M1vPCQj6+R5cdOijKfMuk9MxxoCxto09bDAA7jz43HNBuN7GkVd'
b'NJKJ/ABm5tyUK4jGKwiIrGV4hKgOL148oqpuFBAySfR+vGMiH4gI0QgAqkXVrcR+OdL/Yx0m'
b'DzlIMd4yptoPs9SCpbJMuU1yeFt0JnGSELAwtOiQLfKgMv+J+1U1SqHNDpNDaGVKCKENaVtp'
b'WlA7RG63W5gGQq4lOvYcRERMFk6dFQDqImoe6UEHdCx2Zq8eXlMlJpFuAb6muBYYjhGgZ44U'
b'hMcMqzIbBK86cvO87iFidHaiyTgyKEksc0JGbwEwVxEJcvCB05ArHCl1M59wHlrceaTAKb0Q'
b'DgsanZEU2RWkhSEDZOX8NA+9d64VI4vpdru11rq2HoiFBK8qQgQBkXrPIfu+3bZ3Lnh5em5N'
b'69PzjanvrdbaW2ttK3UZs80dShIHX0ciG1W1KAqLJVSv72HcxmSMPvIohvEFKhiBxGYaF+m9'
b'792Lt6jFfDPBPDKAH9+TtwPeAYpidiBQ4VqdIJ2MmXOMDas2EWYuZbFJY+Za11KWsRmniYEK'
b'E5F0P30MigfA9Xo1k6i3yUwjI9kirGLeppeAaICY0OnXWPf4Kd92/+skhuRkhqkuTjdKn8jA'
b'D3vvJnxDVRnEZE5EGQtpjsJDYuJ8vfnQtv397cv7169vXz5D21KsPpLn0ZXFhXsnYrbaBQ4+'
b'SCoML1Ei4qK/6Ytpz1jdU5lnw5BTC6hwIRrRSgfuACIi+gAAIABJREFUaYKzZQ5YRJgPiiCq'
b'EJ3O8cP+PO6xzEFOa/C9UN54pHeryizk+Q/zhrgHgMVVvr59ba397nc/LmuRvQ2J3ws9pOPE'
b'd75RmEJPVII7e55Zc1vbTfufHZhlyw7isrol2LTzaQEqXPLoJuWxRpT2Ya1zmdH0fZcuCebo'
b'NNX5LMkHUmZ/9jnCyaPzZUSczLNwHL93izQ/Wu/8FWl3YbydARluYkqlRuIBuOA1t6UmoW3E'
b'w9ypf8eti0mEU5g4nQealJyYarNwqapogzQRc3O5ruu+4ELS3LqjPtiz4oRxeGNA6d0b5E4f'
b'mPlyuRCRZQHs+36RpY4CjXGbHvo8n1WgFOM4NHJTz5tq4ES1UcLCux1mbE3BptFtJ0iRZVkm'
b'wTAT5ryJuI+VR+Waul5qrSZQmhmh7dJBqijEzEWKlsLbtolYufV6UW3b7f3t/Qs+r+u6LAtX'
b'3G7vXAuJUl1oaj5Q1Sx1OYkmqgimL55aZCfggVZlJGGfNn7MyalC8KTJZMzO50SElRN5vOmB'
b'3o7bcNLJkc+c3vJw9XWI1y5WH2lvzoNlmxzbxNwdSkeKOlj0yVc/GHv+Xg9CyRxjDje9Z/Uw'
b'FSb9U5NgF1f4FiSh0CLxqyBCVR0hnd5/HOPgT0vQRxXbu600Lww/QyaqzCU0ZZPT0ambR30e'
b'eHqp7SkDqfN1iUlQHp6hEfMMMPG6rqUssUZ52q39ElaHUSeEEm6PiIC4987KIhiWaVtQDU4C'
b'YLw99wEYkK9jdbIZRVVVEhvJ1z2RxPdEFuSIYVyhMJ3F6SEje+QhnVg/iei++kruXl4FF/RN'
b'5DDz7Kh2et9JDJIrpVgyFADmerlcNmDbNiTGrjJngFG2bdu2TVrf9/39/b3WRVXbtqtKIWpt'
b'U+2llFp5+DXjLJsJ7mHoPNGz+onPeYFikxpsg312z233fWHxS4idXieIFqV0u8xLiQhs0fJU'
b'md3DTFRHiIsAixVXto6NvxJGcCoYQfmBWUdEIZgBI4dnyKs0RJpMVMHoOIqFz8iFw98MGRwz'
b'c7rtMJ/3skHwhCkMZkPJPDGZmJhFVJjqCGc3LH8TqFVhYYZekkWZAPezC7hy8Qh+bW+3L98+'
b'/3L99rld39al1FIt2lgJtZYgAlUVadybgrRbUL6QihKLCCGiXZnhdhyIwEJhzOWnUOkhrhqj'
b'GzSHgwvYy8SKKYA2AaQRSA23WU/OCxEx3Buv+XrkieKYRXD+o0KgjmGTC15vpc7N1Kq9965d'
b'FN3chU4WJAo3GHg0PLRJ+/z5c631d59+IBl53wqP0rG2gZH/yBZiqKpMZFnUOIpETnMwpBRq'
b'bQtsRCIy7avSRHYiMpBctzeYKMalIKGRZmeoSd3iso0SuyxVLIDUAk/sLppIc0QCeLWmtRaG'
b'QhQEYi2jOqf5KHwU1J1RhjPKwwYsv6OfBE2YDkBEEfZw2CIW4ztNMgdxU9ldLnRuM83SvAo8'
b'QJtCwfiOQgiIKVLBMCNozZ8dTKLDQrJ0bHVFCtQpI2zJaWMas3t8ghOtP+jryKxSrGiijIhe'
b'H7RYNstMSICwqpZK67oOB3EWjzzFIjaHWegvTUIywB3rtyG4MqkxaKT1Oeirpzk3HcDCUoGS'
b'jslE6iPtz5a+qWy9Yed1XYvFMpvtnIWIVOwQAhGx0lrLO1Frre9trUtZwHRhlFLqFZtuTVTB'
b'ZhqnUkiLbHtr+16YSylPT0+3fduu18+//kZlefn4SSHvr9/kWS6Fa12N+xIRoRDzqLVyUPMS'
b'kzTb2LgFh5AP379iIUmMgF/5m4cEDdHzfmkylwNAYvuL80KcTpr4MqS6vDvyoowvzSsoOviv'
b'gd8YdEMe9RidENHM80tLfHqFz2GaHExCPci7kZh76qojDWC+aNTBHcI0a1jm8nEQNvhEvSZV'
b'dx5VroxP+lgGapnvspRDZR6XocYeFoVH+IqmqGWAkwv3gRBwv/V8XANuK0DS4gQ8rtd8nJMu'
b'QWAr4mi39RmZNsYiY2vD6c0AznWgRIihhIWgbMuqkGOH4zJgDc+N0VOtm4D48w5zCOgJdnPM'
b'qagiF9IiCtlmzpsmbYcedck4cmjgY9ImVWZyDWo5/fN7lzGJ8xvNH9J7l12ohgeeyHWgcehr'
b'7vZ4SuIQVNVPnz7Rp0/L+uQ7l6Y3yclOqNb657//uz/88SdLG76sz+44ZWVF7/2Hj58UXR16'
b'JM9niT0LmeQa02hdOsn98FwU+zzDI/N+9MHS43qCmSFwMl6o0SssqhcCHfLlcJcPiTN/JgV4'
b'mO08051VNSAZYyDetxGMNCo29dZHKuCEtbBT25AfSVRkP3tN7Z/dOjKjpl0ZCOcDcKCP4dko'
b'gAcy+22MSOxxedEfLkOU1C6wFFOAqm1CQ8ewgXjBcBdBbK9auEK2FEL6tm/v129f3r782q5v'
b'BbrSusySPTkRCp60SL1beiJEuxBECESdlNBJAEtxNklmuOAV8LQnC1AGQChKRBWsA8QU95ej'
b'8ah7/TqgpJ1g5cuiShzHJsUMEThoVAYWlBmlqsJqYsebh5AKg8W0gikDujFTKsaZFz7Kt7e3'
b'2+3200+/e365qHZmElFmAg4e/AN9pw0f3t5MWJlHDEYfWvKhqUyFmdCZ+R4A1P8mCyUAQ1TM'
b'ZuPTbrThhy87d15D9Bz8PA1wso8YaXAWX1ytNAhyNng8xu5nz7pOQK7prkJe+IsIdwRFikC6'
b'eHg85CWgO4Mrpz6c+nNqIX45LY1ntge5HY5DZHuSTV3TLt1wvRSJ3mJfToLRuQq278iwBe7m'
b'877n9qsF0hjZL4un/QSl5UnT0T0iUhXLdZtLT4eBR/vLWlqr3ZgjJ/CoMSgLbYq8yYJindn3'
b'vSxrsGyvhEo1r6DVVrTawOpCA5a1ANj3XW9dFQU8aA+1VtFq1tBSylLWD88v7++399fXul7W'
b'dV0uT71t+41rrQsXrgvU8G0s7oLzyubtMLiNH892RapSSMBZ+pynUQjQSfLI3xw2ziS2g9Ti'
b'q5CgIWOW8h7MvDE3Gx90iCaZcvIHSnD4J/42KIHyiDLHyBeRQRkGazr4WOZ8dtFHQkk2cMS4'
b'cicBWLgKHTd+aCxIm10dRWqSrt5x/nshz9jmWNnZOIZX4X7IaR5mB/Kc59WJB/M0ygD1omMp'
b'5cR+gHRO6NCxW2tgith1IrKsMbMjePe0KLqZBmiwFH/7YKEyti4zI6XWZOKcRmUiIohTRdJX'
b'IWQmsDTYOGWyepO12finvSqmBYmBJ94491eenCBR9dMERLNxY9N0bD8aUh3tH3V7DIuSksfI'
b'2E+mPgHV74yTSGLUh7UeS+/PWhQNL+vzevn48ePz8wcw95GPNK+OWuuf//znWqt0Owm5q8Kq'
b'rHQppbhF10+iU2HWYQ5LnpYTtzntTSfFgf0Wqx9RDyeOgTuBJ9Pttm0m4mMYHCMcIJZA0tbQ'
b'xPomT5C5l2msaNBwZh1GAEQUpmQMqem4CodFEZGTlxVHmsfRGcjMOvPWDvdnrhKhMQbVEoSX'
b'qSt2uvWws5KoMlVp06lHVsZzmDSISJm6y3tj89qsifTt9vb1ty+ff95ub6x9XWotVKi66lGY'
b'2e35DEjrUhoRg4DePHxIO3lhrAYq7nIIsbV3wPLRVLV5/IgImMggsVSmUdB7iNgPvur+n6p6'
b'KtvgPFaJjYhgQHVhG87GVXUx0Yzd3UzaHq1qWT7sWIRjjbuZSbbtKiKR9qiqrj4c2lYjrC9f'
b'vqzr8sMPP9h5b/g1VqV49kLVkjsFLNICazKIm4h0gJUOCQlDQNJSRl0M9DImOYhjfM4Sp5B7'
b'XYbu52G8zmxGp9RCKSrPBDsuh2ZtngE1C7slptpWsRIHxheYlAjEJZbAkKoBYfYiwVAar1UV'
b'V1hDapbhQR5WH9Z7mdUt7F2H8qaqAMU3g2wGWzrKQGNznS8NI6/9UzAMRvMiIrcOeLNsThLr'
b'vbrHBCTKJd4/nz2dFiYdqhpsF4oSgTJLDi6p6hEtTEV0JHhZN5NQnq2k0mFhNCJC1aP6TVHw'
b'42sIECJu2iGi6/Va3/lSXmhqSnns59kgqIpY8Xgzxws3qI4S2R5ARUTLsuzLvt/2fd+X9eJW'
b'iQmTJb13kAuUZVxdZd/3xapRsqo6QmgpBmBi24eY+enpyWbsdrsNwTRrws5wMIzYtazQpq01'
b'1WUpl8uzCK7b7f312+vl8omZ6yJtu769EtGlcCmmAxAAMFkrxAQ5m899cgJEalDXWMo7Q9dR'
b'uAceuFBOhHqSKTMbUTuxQnYHERWFw49GN/KZGu/VIYDGT/lKRnEgdfhwv3s0VVXJSmYY3hN5'
b'vIT0GE4Uvphnm22j6I8nGXtAowBgFLFkSp7ndx679SHy6saMHeTj2W2aqREekmJP9XlC+5GT'
b'JmRMPg3+oMfqhz5bRNCUmPdwTQc/CUo4xF7PNsks+Q/khvMJov7y+HLgfrgxxqqTPjo45jq7'
b'Fq+l1mppnZHxxSDtXZNXM0/8qcFEZgKAuomGgMcXTfyiGA5Uc6URGXVhjQbCXJX+PmBKx+FY'
b'nXivuxL30HHHqaqI1qVAT+M6DG8+kVVQHFxYHjs6Pkfyg0Q1qzCR0KH+ptNkF18Esn0sjr46'
b'oMCpliZibTIbS6NCrCrMfnT23tsuXIuq4QcaFpSnhNFRjhzXVJ5No/N1OnjZaRy5lt9mS4xs'
b'JLLPhjY2JAF336haSAfqwrNwxzCEqyrXogAph1gyaCOzu1gLiyAmP+lDEwCpChOJEhPD4sWh'
b'gRnqxDMOTFVx9MjxeKCuO6K0UiwrWfbwyXKX5H4RsbgSO5JlZNtnBnuiYb3LLO1bN2N53GMJ'
b'Nx4APOQ084p0ldp7hwqr2BGHqd2mjqqlpxciKsy979r27fb++vXL++s3ajdLOObBr7kUY+aG'
b'xS8ifW+dt6WuhUhIIUraIQq2gDqG1+g92PaIgoMaW+0AQRRFTmrUPXcz4hn/FJBFGIfp4WxC'
b'G9znaA6Z/NTQl3wH53uCbXkZxOzHMTHXAQHmqzNT2Lbt7e31px9/9+Hjs0gDBgKgzPIl4dUE'
b'sLc9glzjSzpSlU1d98vJi5lBQQO5VPCBCfYuvXfmeZYcaM5WRz1OV4dm7Bs7nenpn8PAY3no'
b'KVZ14PWdLY7+OAD4MF3elcPMQ0fSnpP7ifF2c3CRC+jnK2Zv/lW/0SSe+0foaNq3Yeiw3zyc'
b'T3/LCAk49B8nHQE0o9myMnanzR9FRkrqwXhUCQWVaO+iDeBIQnIDQ26BiIjkiOpg5nNVXcoa'
b'A48rxtW7ACjVT/pt20SemM9rSlFmaBy9dklUkBhRDZoOZisdChRzMYncSFSWlU7nsZ1JGYdq'
b'YF3f9u1pWWkgfgTSSOxia8fav163fd9H5iJ32VWVC9RjQDnMig4zpx2iIqiV17qIyL5tn3/9'
b'pdb6/OEDuNixcblcUBY4mea4OwqDaDbqn+phnwggPoSCZ1sjJvz+OjE6SSDTOM5kXuKw0GNs'
b'hxMdatIETt3LxJmsS5R7Isf8KxGxk0KTTMO5D48CzGJ+nAaS0ZQiuy5t1/wI0sY/kdOx/5NF'
b'5P4TT1YQLTCzyGw/JdqMYyK1k5csNzL+efCm5jMr7j8u+n9AAHY9bC2vaXzInQFgu/t289K2'
b'Lsfo2ZyJYTm1yD0aupmthQxPY8wGjVggo7ews9reES/aE8xShwmNqJzTGOxDtGBkFaM2jMW4'
b'1Gtdzik6zcaJsCfNSFhIx/cENkh7SWSZZBi7b7wFZqoIFKD5Xk2Ekc6F3A0M6R/aRYpI43Hy'
b'zlfDBmjVyFlVuHCpyy69N2GugeeLI2FYfJdx4EJ8axvmzrJXDM12dCnvC7uyTvLwhrxnKcWY'
b'TepJa5cHbmpMBKGd1l1CNJfj6uR5O3ItHAk+c6SRgXzwrcVTmQ9keovJEZF938971gJbBk2e'
b'mI/Ncx9ZnXPR+9mtd+zDZAj+DXtQUyIg0PC4WgZFk14se7v3Kr2pdlY4xJHbmqXWtataQKMR'
b'KlMlyziU/fb+9duXX9/fvqpsS6HLUsyy6hRPVrHA7LXo+wYtXJdVO1Ptw7whshvCOHu+BaAd'
b'ZnX2wqJERCpdpZECFjZPYF3IQsFJRdoolWiGEzEWE2RgIWW928lnds2OgYctIiqNiboVNDFn'
b'pXkDSAHd90YBrgQzpqpNhyEfmw9a1c3vZp6vZeY/nHJTRaQQ9d5rKbfb7e3bN2j/4cePqlpL'
b'MfkbvSEdrmPvKXOVrYVH1X6qJve49X2WGzN7p0hndvM/WU4FiYiUrAMIWaS+iIg0e1FY9KPO'
b'nGN9Dn7RTdDUHep4rz5Cw+XrQkSSnPJcYBnApZS6MBffdZEAZBvKLBZEROwAsu5KgpRaVUex'
b'sFKFDjscpuZqY6qGJR/JuLEz405mJizAPsw2DlRnIggzQ0SH4Ijh9Yqtq8OUYew4DuzB7v28'
b'GiiQZtBks2bY1oAbe6ZEmA1SbPbv9JUZrHlY/IioELXeVakuFWxsl1WbitAINWBmgsG61FJk'
b'328YkgURFdIuPSL6Y6LMr8/A3lprHIENtgla21vzchnk4Yf9aa368WOXXUTX9dKaY1TLMWpr'
b'joZOts8kGKmA0AQi0kVUG6gw47KUbdtaa163S4SoACyCUG+CHmqtCm6tXa/Xp6cnI3ojJ3tv'
b'KWXfdzOXqYoVyrFgvHVdRWnbd1ekR+kRSoErtdZddW+3tUsDlmUBk76/t217/frlcrnUld9v'
b't+vWqNTnD0RUSl1UvaqaJx9rN5vpEHgHAJdOQW0W1kgThaPOcJrkfL7GgRRbIO+CoFUTVwxT'
b'SFKd5imcqEsWPKr/GEbOqWP3Z2GgYeQzzHiOdBnapqhqKbGtvNk4kk9ei9DEcNKRlLgUZKBA'
b'42AoUIhHqQ8AonGPMyjPEUI86OxFJ46quHZNoKKizIXg5jqz+7RdVDozg5O4gGIyMROhCnDw'
b'MVswBnxOZmRR71MUCKNuaKGnybTfLHsyvuGRdxhrdFqd+HKwK82PqGoUyLOXWlW+ySsGoHA2'
b'stIIGA4FwAiYrGhVrR0zm98esdoykzCGKuUMZzj3VVVlRjCSopSyN8QWsAdHdScsS+kdPdk1'
b'UrQGW2JCVkHzTKZTw5c9po78MD7vo9Za4SUe9M4Qj0rAYT7vKodiF9Yf3y/D7RnmCXOc7KOa'
b'AZn1oe8KNQ5m3VGvCuJB/yLCXFR7VylcrvtWSvn559+62/KZR8UDIqiAUETAbNFoYJp1sjKp'
b'IKprAxFz4aSjLosOXuZFZuKzeAiBApAUPkRm852IqIMM/JusYXYAOnKoVFVxtmMKzc++gkOB'
b'P1HdmQ2m1/+H3yvT9+6Mucp82P6yHu4Jlpj/3os0lc46dibF/Ea7ko0U/kYThSPhikaOmTKA'
b'aocxTkrtQIAWARFIPbzKCqbu2/X97eu3L5+vb9+K6nJZay0DTooUaCpFyPrSdxFwl0Llute1'
b'6qJ9VyuULcI8+6uqlgtxXCTDJpdBPYYVeGTxOBjA0rwQQbs0N1BDQvrPNrMgjnzdM4XTXZrO'
b'pKAt36VjaU8LFr/O1RJ5v76+vLys66rarWiItj2E71P3HPznyME1XaenwoZEZAltaSh3nTk1'
b'FWoGDwbt3JOJ7UgeacQ0sHGin8ZxgWliiBayKCADN2N2y7keJelBT8atMHmab9M4jP3HdvaO'
b'txaMhNOw2x3XhYhGqpuqKob6itz1tNnyWOYh4TfcGcOS+cROGkrUApq0cSCV7zAgGqL/fTfi'
b'BmZmrorGrpWyV0o9wEpLbgKJeoMy4KHwnESKIJpz4mCsYK21dN1bW2Xx7zt5CGm6DkRCZAI9'
b'WaWkw/FJ6nKDGwgsFThQCGOurAN1oDPFWKJ9O8xMSchzzgOwiB1lWaI/XMx4aYhVxed+7Pjw'
b'ShmEWVEQlbVSWxr2XVp7f/32jI9rLUJ8e39j5uXyXErJSp4eOXjetjRiu0/kkScwiylIXOIU'
b'I3Qgnrt2VJU4MUw935w7aQxe2jRbBgXmruqRa0Vm9olfZXjKe4ZJQ2/JFH7y3NqXgT+WGUu+'
b'TVWJZoct1CF4TkxXVCy2K/wJ4UaIvp1GPRmjKdXDSBH36AiTA0DuC51zq1kWTyzUcgPyCurg'
b'yaEYzOiagb1zoop48PHSJ9tkfJ/MvfPO/M2j9uPgQHQjNG0AxStmHjb+yRmuqYm4DYMNx47A'
b'ADEjKwY2SCIMdDE/WfPpvUcBSmsbKT0gv/REvbkn/+GVWeLpn2lHcWhzFvTPRNYfT3Egu8cy'
b'WF39673Xuva+GzdnIhXtstOY8Ptr7Dtqrb08PdfL+m//9m9/+vu/1KcPgfvi4fJZlLc+2rIS'
b'cMK0efyq8ZRRdZfT9771jmJq+mgLfAhyi1Hde+5LOkyyAkBDgPafxvcGY31iGkiO1tPifm+t'
b'D1wxKQD3LX+vEb6bvfvb5P65783nd3g70ePO6PjMqpKWo6bFCN9NYSY43q0vD1vIqjbZ3q/f'
b'fvv226/fvn6W7fbx6bIsCxODCpjUlBiY1FFEpMneQdQUXOt6I4b0HviY0UUiwjDbwjVv9UBL'
b'GcmoJNbx4MgiMqAyz5cOtXu8SMVymEYYtI14FuyQHjOn6Qo2dJ5ZnWKrzSGJ6tH/5X9BNOEg'
b'YdZl64DBKv/xj7+/1DKUE3EcDLWYpTEvRKrU2p7PgHvKCF/VtJmREHNlDF+hcuqMD5AEBFHK'
b'vn5VtSoKXrJSaBh0mYblO7t3iYjMDjFwmgCwKqtVPxkExyODoosfHeTeN5GZUDH7gPM282M7'
b'zs7jPLDi5BW9pwo/gUY0KhGYq2oXCw1Us/EAQE8HBh45zecc3n1DCgZ50V/l05M+YdZnBIv0'
b'ARleMu4SgE4DwTizjZzHzBQiQlYFRVS1tW3fdwyTGAB2c4tEsJzTPEABXYzeVNgzQSKZUo2N'
b'sJcw3IloKdwt+1Z6oWKbDwCQDZYHvkmhII09TWPu2RECTOzUhVm19r68tpt2KWWYyiIpFijT'
b'Ymo10klVZW8m09daaz1EuTCzHa6AQ2Uvy+JwRhQxJCzjHgMJACgsdsy89y7UVy2l1Muyqmrb'
b'bl8/NwCffvxdqaXvt+ubCxylLKPGniIhmcTkS/ierTgxTUMDjSvzpaCBkDYCNULDYkKHm+ON'
b'/hlkmWOigmPpq0l4fH7cwOyy+OUvHUw9FlqteM8h3IAA0rn7DjmgwZynAWLIc/fSXu5DtJPn'
b'Rz3xTkM6bGJHqgq0DPnyPJ/oCjGdQFPKeLwiS40x82P3CTSEqmKevzmTls01Yj/UvRODBtg5'
b'pZrxeLzlPm4n87HRPRvgybQ8VYLJVwlKHlYdNBBjyQ/GBNqVanWxCa92LqpGax6nzsyXy8Vy'
b'AMzqZIiTAhJ49LkkZSPT5OnyLumgmHE16V3V1HunBNUmPXI/4s7jYrkR5tz+8Y3Rgpsx0y30'
b'HRvN4G16aJDJEimEVJmgzCxKjMLqcElW9Nv7RCBVJlIiKJhAxnPGXnDu2HsnXmpCCDiMhQhD'
b'wFXVWuv77fr3//CPf/o//h4ODTcWNyoTj6foqOkBWAfe/3xLWqh7lYDX4c04SajnA/DQwolB'
b'PXyXKtmCzG+y/xzAUYB2fnhA3KLTr/fXfXJz9GpSET9o837f5e/9WH2kBuTbsiruPThYzx73'
b'53BHdscheTVTULFteEPGH6nlqTVnGWMM7H4JhXZp19v167fffv765Re09lSXtS4F7tTuqkTK'
b'Hvs/zMa9A0wVpF3a3iuLtFHXieiou6t6UqBzBFHLwAGyk8hYLRjoInqXbRkzLtLVXcCwXSQi'
b'PBA2znv10ZLYsyHg3h+90Z/xRskW37EMfv/02hMB2Pf99e3r5bK8vLyIiGoXadP5HnIkeUEu'
b'VQQkXCgAvkYjUSyb2Idg5OZ5AJbJoCncLfd/DvnIAgb10oi7mIJq711SBQA6qsW5/dNUa/YG'
b'DF3u/kEjiXTmaXxrN5rKaHDMRLPZid0x2tfMaEZfhFi1Fx9RgQWcOGUk5ZB4PpU39pHdnGjD'
b'SIbSdfghz/Dom52hmOAehzkERrph+lIcIyJoDFD2AEr0riLaemteHnffdci75lzGEFwku0qz'
b'FCgqIzZxEGdLI/W1o4SCLCK1FuZqigGOV+p/DNMJUiO2xMZrCeZwo99Sal/1ujWTRSIahzKu'
b'+RA/iagUJqB16V1b80A+HWqJDlQfJNHqcrm4oInOzKWU3juZX97y0EzBFg+W9biCDqtQsywL'
b'gPfb2+39SvSl1vr86Qcm7vvt+gYiqutTrauBe4qIHh2+YRON/ZIP0e/p/Ke5vRcIVF27psFv'
b'kXjLlAKP/G18E5Tp9pQANrjvwImh2lPBZzJnyAznSBLnBvOd0f8YAkY+RrwuX/ckR0ShxNph'
b'g7GJwuKuquq+YnN4ToEmdvHpXXmD91zYS+b+Cjn1tFL0HX4SS5DnP+5Xp3AX8mREbWWtKS90'
b'VrG85bsTMIYTHoZ8tdYiBEiG1nBY77xqrEMBAIsSW8S9I3acpu7h0s8v84GuQjxVoG4OZGhP'
b'FvcRB/jgNDnN/H0HzqP4zk/RsYdP2XvFNatxCvv8EwyDnSsRmXCR36UulzGPw04FIPSus14H'
b'ADJj42BljwZipdABWBLghw8f1roADKbI3EhBO4dB6Xd+zU/5/Xqe5HyOZwp/kITnDzyWwR49'
b'xcAxOyIJxPekmPfg99p/9P3kLd9Z5MMbv7cFTjxtvu47T33PT37wljy+4dR/uv/1nrfEnTU6'
b'AJi5yDmOaFfVQgQIMaAibdtur99++/nb51/a9fp8WZ5qHXV/olpYwunr0lUUygV1wHVJ66Bu'
b'BwsXx4dRdLMiAIh4HlUFpoLLlgEECRQ/VVWoeSfiGdMGbAHE0HuYAOoDopWZeeQnnNbp4XXv'
b'AsYQzogIoz6Aqqo0laZyVhjCjRWnrwmRt9vter3+4Xc/roV725iZxK0z92XGrKdjdznf5yFD'
b'HVYabvQDkRItVBYuzLD0dnJd0PlLDlzxviq8vIDCCxGIS/YuAo5p0SF9RpgyJXPOaWLzN8yB'
b'6QxmLwHg6S85N5GIiESIuRCV6KqtrEMImbSRZJcBAAAgAElEQVSaxu4HLYsVkjRiQEq+vL8U'
b'ZCl9jsIG/2s4wYCXyg00HACAkAFezRFqsuSaGCrq9fUUXt/X36fkrB+W6p0kjMR9h2ZrTkzc'
b'zacVVvDjrwIGGuEmFUlJVDStO+gWiqqNUCy22IUD1rHf55to6GYee5u+NFw+JbKoiiw19iZa'
b'LLTaw8CS2DcDjWyS3PND4Q0/cCpvsEvTDqBWXpbl/f22dVpLrTRFsbmaamhRZJY0HlHmRM0E'
b'Jp8ZKhZYKMPESVQMyaD3zkPyaK0xl8p0c2ObuSxGin9BpWVk2/d1reu6Gmrw29sbmMuyPn/4'
b'1FRu2zuAZ6CUhQuYDgD/ebaD29i47jMlREwzstsOMXWZTSUuWkaVm5hPN5R6fPbh5kFdPqtE'
b'RGbyEnPr8tSNo1e9d0s1MdoRwpAvUXLxQbt/VIgfi+U4FfOGJNzEs8FYADSdNt211IgkxDgU'
b'aCRaWPS/+yqZQNn05IliMQ+Am5nuKcqusLNE5+1DlpilA5ZQBOMJlO/0f5qFDP6lWJIJwGK7'
b'HqqqFSBiK7/oeTom6Nex0L7aOvTSHFQTk+buJCZVteOYAGZSTG1z4AZa1NPj0FYR2fc9qzH5'
b'1xhdbOp1XWutJdXoZGYuKFpAbkQ/6LTdodNwtONacpqlX+g42m31eBTyoyFwJ0W32j5N3iQy'
b'Y9FpivK63A/tYOKJLg3B80gm49d8AYDx1O5LlqL7Yro8tt7zHdgLsxBbqAZFnBtzV2HiUuve'
b'HdLAQrozvKw5F5dlud1udVlA1JuKoCueny+WRIu03ZDKGA8jVx71g/lJoz1LKjQFHBd28+f7'
b'61gbOVv30/9cY+m5b6rqWQFJDcj279Gf3PPEhf6mAD3ElRNg2vjwHeNCuvVo1Mg9cKPbnYwu'
b'7WF/jpdLC3+j5wfGRYNPHlcveyFCATgcP4nnqgFqCPbb7f3t2+evv/18ff/KwFqfliH5resK'
b'Zk0ebRGR1s2QxkTFAl/a7jkqBsszzoZw7zIzqA9T8oioSVZ8hYLd1A2IMhWagG730zGYHzDY'
b'TZmGzMDWiT+av7EWHhre8nTHh+FqPJzithCSqpxa8621t7c3Inp5eUFKvOu9hzirYQZQVdXW'
b'HA/YBCk5FkMdczJpXAZiSSnlNIJYZRysWZCRAqtp646eTBtS2E17KiP6cH7iskZ67+R16M+q'
b'QmabgxJ8/uPCUAwcCjTyThINTJ4eVK4HG95p4+XOExGYUKpVRLJ5NtKhYYLtM/dDQGTQWA8H'
b'O/7X1UBrE6cgAZHqrMwwH8TYsbm33hVVtxGNdpg5TmS7d9CGirbed1JVEiLlQoRi6pyqmiFt'
b'9Dykc5+O3CWn6sLMrKPISyllWFaoFKgWEY/GEUFrTZZaIg9ekVwNOWx9zr9PL1wICHP1NIO0'
b'DiYmQxvbTYSttahqvyvnqQm3gYaHwfLe87pbI0jbgYjWdR2MR4mo1nqYH8yN5vNgIHldtm0j'
b'0lprrfUiq8h2e39/f327PD+XUnvvrW+tbWvbEeA2x8oSp70QhBRfjhWZA4wZir2JdGDTiLCS'
b'VBnXnk2IH0bg0+6VmUnMlY5kWaIDsM/x1bGgmH14ZHo6LZYOBYCGFBthG/ENJT9PG+GXtogx'
b'SzGrkwZwyAwJAdG/1INShCHuDFo1HWvOTJ6TPOQ8sTF70UM9xrrMhVYVy8mLKUhzlT0JuUtI'
b'SVAWtUvJwJ9YdyziOWwg9tvk55jc5m84mtoA3r2XQeZUkBIpM7+8PC1LYWZH8VEFUZMJI3Ek'
b'gFMI1qT2E7sGbNqSFne3UwLeA7no4fj1xFHv289D/p645U+RWM24dD+AkabAxKCMkjdmzx5J'
b'h85xwonMSG/PMNRw+biJmKGq9Vbquq5LJETdi9fbtj0/P2/7bkzsdrsRkf0Fhuj1cGx/Q9z/'
b'T1z52DofbY+X9TwP9/zn1LfvLdn3+vPwm8y7Ht7/n3zLf+a2h2R2+oa+M+3/mfbvH3z4ugOJ'
b'jhtqvim7awsRkRYm1S66bfv7t9fPX37997fXzxW6Lstiup4QlAsvyuSIGgRpvbUGUZplEbuI'
b'oHcvcKadRMuwKg57jwJs0D5hxp8jTPCI6r7OrqDC36VXZjYWn8NySooT9XmxAz9rAId4qYNY'
b'eZrN6P9JmLgn0+ytU5Ft267X68vLy2DZ0vs+FkbvaNSr/6b1frC1jI/q6NiIFyp2k90nIiZ5'
b'ml0fgUOvKuKhR7NZnT0xAIoAKpHer9u+7/s6SnOrBpjjwYZEZPXT1SAIsgUuHzZ5Q9KwxOOU'
b'rg0vJAlXWs4rLnBAmLxw9471LNJl0QeDDRERm92dpwIAcwtAKOUvgmRY9znRjEk0MQn9IAYR'
b'ASSqrKwUoa3E5gmxxkiJSB2u2IbmyfgRNBljhHYC2y9h4hqE7IHmTKyKUkgrqYLEQo1kziGF'
b'/e+ACqBCXdpeaBmUwMRM2l0wIvUwjGYBbAD2fd+WcilMVGyhLFnAhh5iHDP13kupIpPy87Zi'
b'ZjPS24MqSpVqrXVZ9m1rrVVCSRUpbbxkmeGiQiYNVNWmfoiCiIzE2d/Sww0iAhFZy4qK9+3W'
b'ey9UlrVaqHEZYfsKt99bcjwRUWFptG+bSLtcLpWxLItAr9vt9fVrXcvzh09cape+bVvhG9XF'
b'dPLsbg7hbI7loJybUFGQCEvd3ECRvhXfS4IJVtfZjqlBISKXSbfjLXTqTzTOzOq2zKQ5KwOO'
b'sWNWdqTj36KGkDZ49GEOlknEjdPDPwM9xu/GQGJH2+MWfBUTZcKTzg4oEaHwzHoyQ4aA2bOA'
b'inlWbcKjn4CZF0AThl/dI3RIaD4yrplVfOp5fJO4mXmZkm5gP3mOAomCLPmGjObsRRRvySr0'
b'eMX8HLw0r+BBuiIP4YgdNMwsyYyS9C4Pi0qcTIcxaNzvfk6rkJ2dV9ZUc8xfyoR9PzMFxmfv'
b'ej4OPpEGPjQefYjh235R598Vch+OaMAMnt4UJ859s3IIdDGGf9huw+4Xo7B6CGloKP6VCjCJ'
b'hIiixvEgJCRaYFCHJvxisIlS2ntrZArAw6vWGgKD5UrB1CHp03+X+uzJu/aDF8TMtzyAuDhd'
b'5HGncy4o+TlPk3+iUpBgTNhYxBwyl2ZSiPAwoCjHvs9vMkJMEEbuRv7p1MPTNw8EDhNYj53M'
b'rPvUJVWNwKr7EXxH1L9DAcqP+N80V3dT4/so9TBUcFUTBzAFCuQtZxKgtL5ft9fXty8/f/71'
b'17L3Za2XuhARWbo6laao5CAsYi7w1omopHAdkc7SpAtg2Gf3QyUTL85zl2jF5T6rb4d2v0hz'
b'HlQLSBjSxCC9wcQKYtacOkMiXaKKirOkVCeVkgknmCxghXVrvCuw+TM7jrdkZifSobrve2vt'
b'px8/YRzgvffFYpOkW1wNpRjc0ZrFNRxEWPspjEPH+/1XGZGv9m8/BixUIvVWVQunCp02fLjR'
b'd9t3Q5QU0da7ZTBflkqHXXQ2kuXGdUSpZr3fO5MOkqgVIMm4q0OWNU7doSRQnvSu2kEyDc+Y'
b'2uyBhE7yTXYtn5Ty4VrVvPmV1AGQDi3jaHkFRmHtjvzeGDWGepWWKeZwrJGoHdIh948d7DWk'
b'iG3CJx6f0aqKh7w75BfbEACUNs4MVbWEs7R2OMzM6LaItCa9GritFe4IsQCxUr2b0Z1ak7b3'
b'ZZFyREayZQl5Qga+fkgDYw7ZLLUcpeWYHRScpNZyWav0vu97Z0PWccgp0WFbM63D30bM3FoX'
b'kda0lGI2OyOtiTVuYWiAiMOMbtvGBm/lmmoKmQhxU8CFKkpnbk33vZfS6rKWglUv29beX18B'
b'lLKsL88qfd+Iua7rSnWxudck5Tw8hCjVas1bKe90gAfG+gxTObWD5BJkZq4FouYPBWJjzSOA'
b'I2o5HWm296NZZ4wJDP50oLKi9Y7h7/POQzOrxKNrcKrDP+P+QAkjmU0NB0XYm31fGwWEk7kw'
b't+E1C94+WIFl+2jMZ6j64UixcRnZzBGloJTJ0MYb7xc0r7XV4yyY4Wp4pHrNKeWS0mcnWY7N'
b'wqrmQne2ECjVRF53YgS8PZh8Gj66zA3sg7n0RcQDDQ9ndASye8IOu5udunRWwxflWqto66MU'
b'TBBqEPlpruwfo4hbAGX6shZmlWIhcMklAiIycEw7CCz5p9a694bkIYkpPU3CeU6+I5QdwBbt'
b'r85yGTZFkdllTM7bVzJ3qu9lN5pqWg5iQFmYWKAq0AFQsizL1nZiWp9efv3t818/3/70T/8z'
b'7nIgY710wIKHl0xE2Ml+zoD9jfDLWP3QmEd8+GFdHlxKSufTH+dT8nzR0H5ODx4XYn4egeJp'
b'a3xXBvSmvvdq4AHL/dtNzQ4NUeqkD8ffezPHf/YtBFKTzfyL3IjGeht3Ni4hZBYvnCfyPx5O'
b'tRqXJl80bb5hiE26pSbad73d3r/8+vb5V729lbIsvJSyGOotM5fiUimDtOu+tbZ3gEupRIY4'
b'a3tAhz1PaOi5xgX68LYzVTC5qK5aZBFtGIIag5SERDs6AZWoUDV8QnGKMURnUe0kHdC23bbr'
b'GwBeuNaVayG1yA2jjEbSFWK59ob6LqKm4bMLKwccZVWLridAzeRJDhfYxuF0SHrDOCZ777XW'
b'1nYiut6u316/VMbT08qk2jopVap+PjIx8aAfC71Aa2LI0KoKMeRE7n7UEYAmEpEqTXrrjQoX'
b'4lorIaT/IWeZdAUlL2tsaIkNEBpGPo6SkARR0d5LKVZGhBlore+tCArRUjwXwieWKYB+iUu3'
b'NphIiJmlN0qwJERkyBUKzpY8EVEUVSIx3FG/GUxqcKbOWidKOpGyQFRHipX23tUt45hpB2ld'
b'AIhILQVQUYPEF3JEC/XiIiQiVGslLqPBoswohVHII0LnuT57ZTcqq6pSCZ87mVn0/+fsXZZk'
b'SXIssQNAzT3iZlZlTU/39LCFs+KO//8dQ+Gq11xQONNVlXnzviLCTYHDBaBqahaRRRGapET6'
b'dbeHmioUbxxYIwmvthVymA2Q9MwFRSKQ6fwD64qsWpgUElAR6V6tHhAEPMEjCKi0zJ8bhhxI'
b'Md1674wYNRTVvF0lc6mXhAqCAmvS2DY1d1cRs0w6ksxELyIPmKgjXt/2gFK2HtqDYgRDIYQr'
b'jaydlf8JvJkQcrttvnffezITF2Zhh8dM+gxrIiEeYYLNZBc4sYdL2La1kFx3Uo+2DBIwS8Wi'
b'tLcyDgtomJkV1KylW8YE+9772Hi9970/nvi0bTcMfUVkYtRWXrISaqJPNxU+9h1isEZ6a7dP'
b'T/jy5cvXz19J/ud/+efnn3967H1/+fFq7X67bXbrDGGqpwhQhsGTQQ2GixgVIgZkTaofCmRp'
b'C9PazwYwiIDItOG7arXGpGg1IEpNF6I2/AUnx1ut6b7vZpbqIgYge/fOSqtRAhIsTj0MEo5M'
b'7qJnwTTm5xa25HAQRGX6RUQqpySz4iUVu0IeiKOZQO0Ap1R38VqXNcZbCrFM5AMk4FjGcESk'
b'HbWzyPYvIpKFTxyGckonz/AFPTHfLG0lEHQBJ19SIasyPsOtCi2N3L28EqNQykmoND06LQiC'
b'apqVaR4eAwN0BJWr+ihNGg+EiA0t7ghdUERbCRBYKgSF1zarnYtnDhs8WBHdOJTj0SVKsiSm'
b'995U3N2jv7z+sKbdfUkfElZKmIoYA2LG2G/N7luiUSmgm1nfseuDci0Kn+s1raZJLTL6+5AE'
b'wRBolNUjFj3ExMwQlBBlSUwRZuqRuwOhit73iDCBj5sfCWaIWQieg5kZYmOEiqrKq8QkDcko'
b'xmoyZ87gNP8GOlniKCZ7D8lCHBFCJShm4lQ1r1jXaBAuRclRKaIaTSoC6buChLjI//V//4+/'
b'/vr9f/vfX0lyPCTzO5FRuCgKTMIzM4ZIk0S2GprSkaG3OrGGnKlv1iy4RWofRoKMoNn48mxT'
b'/YGeXfK3+mDkJYN7ZCbJcepiAGCJVNRXh+5R5FSjuuYjvH/6iKku36yRhEWbTsGLd/YMGe98'
b'7gv2To5G4rgkKvlqvfl6QycNkj6+iKgqoHFmCJTIji3LxKZ6rGmATes09ZAx5iNtwXFMYTOz'
b'QKGIpKGZ7FMTK8zf9reXH9++/PjyeX/5IYht20w3003nsbWpuk1vyuQ0GaorCCQrJt9Jq1Bs'
b'2vepb6aosCh+dgB/paqEZPHC1L4/XFcMQEMhuz/2t7feu5moNjEVU+4zXBKWkSflpLC5DLoU'
b'qk5SmL9KpUvKFJlT+18VQRx0Vr7GZEyP/fXl5eWffvlza40D+Sefn4x+eWglKEUEo5B45p3n'
b'oydTXwUtAGtZgSoXUk7h+t6Wn7zv8rIy2NPoJIKIkCAlEE6P2WZCRFaTaX1G3lxbO9jHoMj1'
b'jYBqrOj5FEiSe+nOZGCiRk63SoYPZTEtlHMil0zNdRLWiTpGiAbpqL7lTAhTQqNAKeXD6ON6'
b'w8vSg4pzZeGFlv7xkTlA2aePZLH4YizHFigdSCI80i06nxgREpHFrpzllREKTScDh/6UZ8+l'
b'STU9qaH3DrStofLEBrXXS0lthN77o+Ntf9wem9qn209PQFLOKW2jCDcdGeliOvutJ22vayQi'
b'pgzSjG3TfQeRYLmMiC6yMdsObJn0NMj+aDKaEfPUrlYQIQxsJRGoZWF27uUaQ4pPLtBVJEds'
b'TBQiZtu2TT/37fYED1jbts3f3t5eXr5//Xa73Uzb2+tLyuOf//SLaqOGZBnJsuixZJDHyLK4'
b'0MzktwAENsF5L9TF0kVOtf4xOJWOZPQ5DxhN4zE2LIexlAw5qa9OiDKheY1IHKOdCAHr+r53'
b'xF4+r3xs9WHL8BllsqLICUd/XjLZ8vVulNDjpwuNBVjYq4ejjU4GAxQKFUYJoVKo0sSASK+n'
b'UhzUIJs0Sgq8SOEowUCIo9MlhCoGn8snywEApiaSdlVk1c50D5MEwjtVQptWQJtIHikiOS5Y'
b'vcfkRbkNJqDF8EmVExEoiMY8Na869+ch+Xg8ZhFwkkoW7Xs5SdI1Vzl4CQFkZkrRaCnZL6v8'
b'ngNfpNhxPisnfnBUkDS1QIE0rASwbVuSXKbNTIl2YS/4/3WQlFF3FgIwy5ZSvx9yc5J3PiVJ'
b'FKroMnq+lYmuNvbgSZohdW6pxNGCuBPzCIj0CAE98PLy9uPH64cvxbNBFZPpu7FAmU9eMC6a'
b'A8YOys/hGJd88CuWpUxqopyziIfr7bIT53FmTcd4LnrI8b2942/vTsNZpZ7Pff/N+5twKhoj'
b'8DHZQblOrqqUAjHTDvNrlPLtwPh1nHP4Vc8DXrPCMBqrUU9vkbfOWqWec3skp03nBPL7jApQ'
b'yoF4fJ4mBBGCFiN/qHYyzISqAnH4w/cfP75//vLbr1+/fo2I++25tdssvadmblsdmafOYQpP'
b'bRhIN6nocPPkW0UEsFNM1UwOjdumSD6A6ScfBIZYLqo9KWSnTd57r8bRbTPbVv/QmVCOS7KP'
b'MDQGk7suwMqs5x7r4QRVmyzNjC5CqHwSwej++v2HQf70pz+pajA7RaZKneMoYps36ZlVJVAV'
b'WzFoSQG0DK0MH0dEgC6IIzAaJyO1XioogGRvorjuzz/aPBIuZHaoFWWVfWD2t05HxGjIjEKx'
b'NaRPUyiKthaZBYmhWR8mRInw1DUvmaRjeEOWnfgRSVXTJDVVsGBAVQ/SGJsWlPR8S+14Ld/w'
b'JIlsPgegkhbS9bTkdr5nZ//4eH/+SkgnXiYpUeT9hQfFUrPIfulwWZdP5hLsEQH3zOcDPRPk'
b'g50hSDipxQCQ5SmYvInYewa4tkNvWjtOUM2sqe1w9/729vZ4fdtu8nzbrMHzWk0nrgKQ9Eqn'
b'xy6znFaYwhCGqBrBU3bjGNjWWty17+GePSQOMZ/pKDqgyQA0NREJI0cb+cmdcKbzcSFIN5Pb'
b'7Qb21HnXS+YwYo3KjD6svfd931trKrJt2/Pz3dnfHo9v377dn58+/fznoL+8vIh9tXZ7fv4J'
b'oqmqYVYUzHzczPomVqgfTBbEYETfPSLEdNu28lksFbS5UEpVswk5yhERytsJLBA5z9mdG4zC'
b'Xx2gCeNuMsTTELcLOa/ybKVqaZYB0Bj2SXr9C6D5A1VsJreMm6hk9y6P0AFWm4tuqrJo/DUS'
b'rQzbjAuRnNArKoK+Y9yCI/4pgB5ui/xbQyPpEEV1CKGoiWXlS4BSycuan6mSqJRzHkQbEam6'
b'Zek9IJxiQkYO3mSDIuV8SNFm6fMtSLYh6sMSS2ksZwqiMeLhbpTifxDABSopQYqIdC7BIdVS'
b'h8vilCi0qwhInxBATMA05Yy6R8egn+ykbqpPT5+e7p9MNyV0qo+pE59FzLpwH+pk9dCh+U+q'
b'6L07sHs1vM+TzWzfXcRUMXtTTjUgl2V93MrlLsfgogclf3iIjKK0escqfJKM4iKQ80SwCaLk'
b'rVjl3smgSqmNhaMYgSaqyLkebLagEgZHent5PU3XHyTbJAqLKKsL1Bj5EHYn+wNnrrjYNXNa'
b'jrgBMGXUXNjrXMUoW7n8tiiBwCCSOZJeEicn30UFVBGJaox1SKrZ+Xuc/IFDge8U9xEvOhJ1'
b'5qNDctApfqqR0VSa10GOvCkDrt2oIjJyshZ7iMi11mj6jI429qNcqfjSmgm0ODIzwXj6044p'
b'IQWRDjcpCwFIfYkUzXSF+itkq/R3Ke+7mTSFKb2/Rn97e/n69ctvX7/81h+v9+320/MnCTnS'
b'rMfoSab2P/s+rtr/aWGcHOY8nBHUBuWRd56MdlHUR3WulAgi6ZNxv9+ZNcURCJJmonrb7vfW'
b'WoCJpzaHFDITrU6HzjD/5d6LYJuUNDH1jgz1hdqmNpa33fc9XSm//PKn2+12iVwvtMLLIyIi'
b'hfGlVOmY2KnzDX1ORKwsSax3mx/mIGe66iLsyTOjnCJ5vTz5bE3mRQddWMxlYpeRJzsRLCfP'
b'OVzHMCntMquy7MZ89wX2wQXtuPNHyjRU2NesbokI4Zpfe6zIevPLsb7mSiTkoa9/yJrXq1bl'
b'6f0xvs+/VnE8mmgTqUbxKo3KbO8SE+SKLsg0j5DRU8kfR0c5rGIAx1pg9FWYyQyz62pEcIWg'
b'hohIa+3pSUPdGY/Xt6xyEW1DenFUvsrMnSA5sP7nP0NOu2wxPsc3qtoabvf2eOvp2DLbLssx'
b'PDgy72ZmCW2Q3Akj7DBvLoWqFCJys4Y7SPa9oK64HCut1hKnfqkaEZk8c29blkLmmf3x+P71'
b'27Ztt/a0d397+f5FFcDt+VOKjhjVkwAijlVY331+niPPx0moiGzbNk+bBHnaRGOGsfjgMwgQ'
b'PILUqppwqKqqOLLn52teeJrIabTzJjk/74IJBz1fOEzS1czTWM+c79K7z5XCCJWsNzy97fmo'
b'H8+ZTuuj5z/X2U4pH6BAqYIMSIo5KRTPFvUSyM6tQAbRJztVM4gIjEDm8c3xjwFwDgzlPAQj'
b'+0YdPogcCBNgtCC8QJSvvvSQhJtL6ZkbzdSPzlIVLZOqDhKRiuFMwgoSkg3UoQnIMWbD3QPF'
b'RvMFg6NL0YDWTKNCRJ+enqoImNRzFeMq7NblWuln/lpEwlJt12R0VfXAwuVOe9P9bAMvAcZ1'
b'fefTj2d97CJcR3t6XLorhZamRF1lmsi5IjFyeRVRTjoRtPYQMYGkZs7p3DxJhEnb2oPeaSIE'
b'NrWHRzO7mT4eDw4rhe8EvSxO2PUt5gnXrTGOdfet87ae//7L9/9cj8vT52fRLKS86ktnMcoi'
b'g3cp1vOvvxvnZTArXSHrwj+ajVLCx1/JfU1kIrKMCqjpMtPSyccqL1PBpTgqHaLvX3+O81ip'
b'd/bY6Z4Y0QmRgeaU1T4uVEpUhkxFLREYEUKKMkhh9KAUKg/QonoVESGWKCvwiB797eXH56+/'
b'/+3rl7/ub29N7el2v9mNWjV5qirtAFnLLiHAClKWiunRKKogsZL3RETuxnTaEUNz7wXHfl4w'
b'ESGSCWVGeRE3l0mEhIyOgRFBgd22bdua3QDAPeiXeZ19/iJ9PFpEkCtwYRDnxVBAnO4pPWc3'
b'XLFjs8GZZMSSVSS/f/9uZr/88osQKpztiETE5y7AlN/h4cPHCT0Y4LsNmU2XSHhk9mQm57q7'
b'XMxfOeivorYRp9yPg4LXDUMRzJLW8sCVI4PpxBiVGGl7jNz9YlAHcyRZZfC5fLW+x07AmRG8'
b'3wyXd1/3VXSXLZlxPbM2rby7w6IpCFQke8oEGAkwr6qU7ZjhQ7MElrTIuVh4x3QOLlYNH5c0'
b'iXfG5Py8vs71nAzciYg0kqQPJwBIVh6drECuVQpcHWWQdXPYhRFZjFEoOrJYa2eBVyvyeDya'
b'ye12S4k1fKvHEojItm0/211VX6yphrs3Hj03IkLMc+aL55wnLE87bIwh2xY9Hs4eAYXc2uad'
b'7j32LtYMoqwrXXaBKWQUUoQoTRETaXfZdCSrSAYUZCtXiEgTVVXSI9G0MBPHj+ocHKlEJGlm'
b'27axe+w91MxsU+PTE5Tffnz/+u1329qf/7K1zV7fHr///htU/my63Z9UTO1oWZ958GR2Hyv3'
b'/zTs1x1qJhFHBwoAMuqzVxrAwsEOSs6wtVYSEQ7nqI6UTnjmfFESdqHuGckzEvanDHiqkCOl'
b'GiCYOYvop2LZC2EHhoVcm6JSNCe3xMIQRATNOFwGMQqrMhZ46Ag8CHKlZArobAohrRx2Om++'
b'JrbNHZpFLlpgWpV3KqqZ9Q3Jlvc1+NqAkvZCJikRFUdJQyhnIFHRyheots0hp2AnKVQ6GECU'
b'j3Ko7OKbAQHJuA0jcYgNCXpFQFREWmSWkWh1rDepVMDZziXn05K0Ut8h6QBd0ERTMdBmAKDy'
b'9ti9xzqrJlBRDxd6RK+KAxU1u92epjmalROX1X//T1kMgEkeUojDmQYzljIoIrbUeEyVQ1UH'
b'jK+Qkt45rvCvCy/ysaHWY3lBLUL+hwc53ZVgaHrbZTSUURFm4UiWdo1sPtEFqq6+l6zwSWSE'
b'oIskkTJZVt6EIxkv440zR7EGI8AAmJ/fpvMlIhBEO1pir9twrunxUuNYw57vT7js6OsOH/fH'
b'hdEvd45T59qFWb17bqa8xiWnf9zVzhg9cLwAACAASURBVFmO+T+MBa07v3O38bS+qX+msvLO'
b'D8UysS4KiZ6ziy+aAMtElAHUVtbCRcICcO+zudsk0YjIANd0wPXw6B5gguyHI9i9M9jhcHh/'
b'e3QGPB7eY+97ODs7e+wR0d3pvvce7nu6lVtEV20AKzZLBMP7a99fXr7+/u3Lr4/X12byfL8/'
b'3W685PcP0klHFBbHz4WkTjJAS54BgJkQWcg7VTYuqzjWybM4IyZ+2bIM63qQJJ2IrMo1tdku'
b'UUQQGXuYGNgnYppLfvGyc6Gk9eTVcb6aPe8FXuT+du+9v7x+/8ufft62jaNu+PSmZy084ohg'
b'ri8yRzKfEgmxPI46gSWoLmxCzsp96RaDnczlk3dKYURlyMy8CxmYUsleVwP9fGE52LgopvPz'
b'henPqy6bDYvifkxyhCAmDg5IBDOXAcqZmvn/fZQ2my3TYGCWbRzM7vxeH9/jj3+V4S0+vctH'
b'nHFZxOOeCzkNSKDpEpCxf474cbm3VVXEBO4H1NXh5jy47Uf+oUlIafDv+/729mZmBQ8gBsye'
b'Famvp/iRbdsievfHvntrYaqkc9DA2QXoszmoDK2OWbK2bJ/TwECyE6qKrbXHo1+YJkohSG5S'
b'4ak0L/MtxgkfwDUCbqYc7aDhQThdnFzhg8/kyjEqAmiteTDbcEqGyCD37fZoj+8vP759/f3p'
b'6en+/JOpPF5fX75/e35+bu2mt02tPEaXZ6g2jCJ+WdSXfIXMeHYu2+FMhMesygd7KpnYnA3i'
b'yCVbHfZyPrioy8cajUWURZNbnzg/r3O+8rH8nEt/8ROjrB1Dlcb6/GZlthcavj7ucAmIQrQZ'
b'5oSjtLi8l54GmbtGJroOaZUigHSfVKYvKQkhNcfg7kpmlmzeLRMIK8uqitF9HWel6g75qIuG'
b'ktOYkfxcImSlXFYviArK+wRr4ggJmVu42HO6OjIvdH4vaT5F2h+QkYUlaUzm2PZ9d15zLRJm'
b'zxcxh9DWtqenpxlky5gIysjsjODZiMW740IkmHk4mW+V1kpEoi9w0UkwUimkVOSiVU7VSsoF'
b'o6qTI12OyWavsmfh4Sc6DypI6shlVU0gExGwjGyVhK/UwetMrMF7ZjLM+iiRAlMXpk1QXo9M'
b'/wkPmIT31rY///zT89Ptp+dneKyIqCsDx3TNlKSgqmYzhw9Z64fHuovXL9d/nj6fbaZ1g+f/'
b'Lufr8Gpf5vk9YazDSICK9yO/XCWLanFhEdMGTtOodrOgar3YLzIlfbjzmHRVqIYee3iq4vn9'
b'vu88FPfStqdCX9p87/k9yf54pBjuEfkXET3PhzMy0VpG7u7QPIn1pTAaoS4zUz+aWGILTeWB'
b'JBAtq0SaSGr/EPLx6G+v3798/vL7by/fvyvifv+UNT0VyFCp/5P5Dkfma7Xlo2BkKb0nhaGm'
b'i8gwjxJyJdUXCiRzmHIFUq1b/ZTvlrwSG3nYUCMHRpvApjCtHntAlm7nt+X7x8FH0iMY5RNz'
b'BcfY1mImuvved8wsfCigDs+40dh6x0Pd/evXr621n376CcE054GZbbns2CHV0gBIR5fIMp+R'
b'9Q+Yfrvq3UsgKAiVKv/FquFJVdAPl5ss6wMkp2BdIzhwzaaiMEgtSBexDARFuAxNUOe2fOdL'
b'HnI95/nw6v2RDJACpD8IWYY8mFeJVOyFrMUv7EyUa0yzM83YJBdSnPPsYHawNjMIREnvoipy'
b'FOrNyQSgQRkNIf9I4Vhff9Dt+mt6Pw+KWnnluqXXv+O+Nd0oYdaC+zwtoB6umPeU+ZoS1Ylj'
b'TmDur/djXsdJ8ta2rjvjMHpRNkCeP+3VBPrVpkqX3nvvZrcNUA+fIlPkJD9qSs/t+U4jXE4b'
b'lAZVNWMz6X7ksBXpJVx/rmOkyUGSKqKjGriNFGGcly8xSDUCEpnhFoB77F4MPQpXKZcV2cTg'
b'uAMAoPf+9vYSsaUfVETu9/veH/3t8eXz77+Ibfd73Dbf99cfL7enT5vcxt2y8N1SVGa2+ah3'
b'lex5ULsyYexFxSpeMLSZmrdI11/yLoisqlIhrZ8mFgUpk2rWiMCUc+MqVlfzqZZyqTMiEUEf'
b'RpGc/QIjZlBZqoIBJ5UKk+m04mRxQKx7dnbDFUlvet3ZR8XIhX7ygzLzRgLJx02ry2zxQy1a'
b'R+G+J2GHIKsAsu0M6Tr62OaJhIsgf5UsqErFFCDgQWEMNfookGQ9LBPMIrO7sRjJBaWgtToh'
b'keVUygOJVXL+RquPwXdVoYCh0JZYkGKAJm41EV5lw5ZwTOXdFJHCEkS+yEhPJ2X3Kh33sd8V'
b'UfhtyPiPekBU7vf78/PzWDUC8MWKmXsEF8twrISME5KmZ0Zw3VDnTcS03L6d0RnpKeOtrMeB'
b'N13GbUDiYB7g4oT6B6IBZ6fVR7oHzt+YNJNAQW6lfmmhhIROA0DbTWAikRaXaM5/RmZEVSOr'
b'JbNyS4q/zYpwkr/88st/+1//7b5tES5qWBD3V/1hslZV3fc+E+szOB9jh5JMaIR6i1XU8ITf'
b'kNrd/Gkqx3k4I/O+1ljlqgOs/zwN8prJxTXxcircAPb9jWSqyBfXz+TPq5qeZJD/TLU7v388'
b'Hpiuz4hUuAFkWum4vkfEzBtfVf8xNk/fyjQhYmhx45y4zIBZu8xMHiZqW9uslUmkpQqrHqXI'
b'eVHCgbXy/QEDwSL/Nrv0mK+RabZwpyxebyHYVK3Ciwwoou99f9nfXn7/7bfvX3/vj8fz/dbU'
b'lEAwMYkwvN0cvv+czfdbQuRkENZ+G2QXgiZl8fo7Rj8pMEuB5ybEuGPtJbGha3otCX26AdZk'
b'pDqfCAYkkfGXe67usWUCpw8mRz6Hl8Zc1TzYMZ53NTB1ExGJ8C9fvvzTX/58326EI6ncqsjn'
b'smkv1D8faiOj/XLmhCTCYG0fzuf6yn/05UGv53fJJ87TZtxjHfxxms5c/ExAPUa7zvk6yHlC'
b'fTlUmXnm+nTOHEdVS3ipiN67pJhSh1G6oBW2VSox79+xdhopw8VIZNrQKddQxvF+3rC8y/qO'
b'lwW6vghOr7zOxnLJwSsvM5bzRKpqMwuMRhZzDBFBus4hSwzE8GMvrPO/Tn59v+y11trtdnN3'
b'QQLnC0fWuLtrpZ0gfMyVasIgkBTR1uTtzQFPY8wG7I2IUIJxCOM5b6f9OOgN1RlCCCGpitaU'
b'IzYYEcqD7NcN1ftOMq1oz6rBbRutNrhuFpZpAXM3sxv5QPQeu+/V8SpiJoBNGb+OM0fyeHg+'
b'MfXpp9u974/vLz9+fPtyv9+fn+/Y2svr/vLy/dPjJ982bZuo5Zazgd4tsIiCXjEzq6ZdXJb4'
b'SmDvHZfvtQHwSpznOQeG/iTny9e5nTSzco/1Vol+VTsLMhFDcd7pXLDj8qpg4bMpARXLzM6g'
b'I5qomTWRno2yeOw+4EC3cKQrnZfHkcxdECImAjtlGU3pvhBPKDI0GhAJBrMGV8y9iwgKNSKB'
b'rkIgSp0edFYCBka7xeGuKpd7gKR0ZiM/MZKRqBVmUw+e2dFpdjBSX49VtIFp6xYcJVNYS5ZD'
b'CwAuCTDpILMUEQDINFaUAtjw2sVI0izo/QTVGTksEOWA003lNWtXwsxas+fbBkAQIsYyvhXw'
b'CWf8MSNdKJZTubQP+HbOB5BzKWsEflLpqq7FgABe6TO/n2t9UQPq79UbcmycuQsSFojhOV+q'
b'zQWAjaxgqvfEj0jKINluG0YC8zHmy22ljHaUQkk12WM3s7f97fn+/N/+7d92f7wf4TqH829E'
b'PB6PWApd8rSoYBR//PiRPCe6r4rydF1PHToifDSccffUj+eZWSsS3Z1Bjyy8XP86oxTlxBVc'
b'OnlfVufCT0gqrhzPWfttWt75Ob/3BU1oXqVpTnNRtKFACFcnhYaELRoIgPTBo+JtCZPNiRkm'
b'AKUaOIvSrBGOQrZcWGU9ZVwGZpFBODdr6TAqfqhpCsZgAfMSJNf7SCU4lp7JBUjJmSznSGDp'
b'1SCQplSJ7JaC6LvvL28/fvz++deX7199j1u7Pd2eC3rXjELTbbox3P3xeCRh3e/3RKKICBE9'
b'yiUVUKGgh2OEn9xdmmy6Wau9molaCZUUI69GSIV4hrzfaa6HEBqvupqDZs1aM7V0hCV3JClZ'
b'1F2zdkrjWfhp5sxlduyCype5PNoi4vHYe+/hPlsLpTo0rZFkr/veDULVcP/8+TPJn376SVX3'
b'viuhih597PCYa0kmF5a3t9cMrWw3S1QcM8v+ShP7RRU64aLoKlS1ppbQGajEHp9Jr6W1LBsp'
b'w1IZwEkEkhjZtOuER0S73UTk8fISEWaFqKh6OO2ONRrg05mbiUOlqBWXqXAvikVUesOhcEwn'
b'jaoWs5O6PPW5iAC92SYKIlIHjYgKdEeItUWiJxWN+MkQTiMFIn1kwap87fnhQnLHraqSjgDT'
b'K7nuwJGTO1PehQsGxTzz3ecwE/fjPpdNPqmx6g9XZfedjyp3gxx7pwRNPkIQpgqx3vs28p04'
b'EzlUOJBuZvmvuzfV7GgxTx7dhyGimULjQGvt8eiPx+PpflfNvKAI32OEkgqqUFPlO3yf5ZUZ'
b'tLruCxEYhGQnSbTWto3uj/Admw0EAnFmVz7PDKjH/si7pSbdzB6PB8inp6filR5V8U0GHVIK'
b'VibaGoTc6aFaybvuRZkRIcLMQidTkMDMbrdb74+I2Pvb7XYzEYCf7k8R8f3lx5fPv97v96dP'
b'P7XNfH/78vl3se3pkxl0BD+jNduaujuhqZQRyPzgwc0wUCjOCu5gBSIyIpuQkVLCSFfLKgOO'
b'RbdK10ZEdm8oTiCiiUaTQjZZ1bodZHRcmhs2b9ogBC0T8kaikojMtokc/HaKelG9WRMUanuB'
b'HidaPxDwJGYd3rWDOQsgmkzbIGaaHh5yERxD7WutCcDuWBJIEqouyMTFl0yaiZIUJAsLKCCg'
b'URhVUpz3zWnZ4+3An4l6zckYpa4oy9l9NxMzU9cY2U0i0kVaazN/XYZGCyCjyqu+O2Lpwwoa'
b'xkwThVkCww0bsmOE6fY4fB9JCUp0RoBmRu+q6nRVdfL333/78eNHEYxp9IdUl7GEIANBsVsG'
b'2rbWPPbX71+Q/WgfL8U9SFAjIjsHLfJLZz7Gyr5yTTxcoFWkPgL1+TNJ1dr1JGMUbsmwyfOn'
b'QIL7ljq7MMYjY21+g+GmtGr6cBge5QdUEdfsyzEsiFxZqjVS1MxEVFo1L1MJlDKDyEIjiKhK'
b'E3j1YWCoKkyYYnPmQAIZl84gQHZscvem4r73DtVbRG/67O4Ap2PiMp/u3tT+z//+f/z7v//7'
b'BSpgTVmpaU8LeZEFc34wqmOnSEoms64XycTMmVC2qXClGb8CUNaFshT9j5Q8XI7Br9I7g2wS'
b'UuwOki2b0oANQmUWwr6H7E65TFFkN89MiaGImsSgAYEEdLQFmW8HpI0wUrbyaUAc7JT5PTID'
b'5UAenCp8sVWuqYNQASUbFiUo3gALwOz/MwaxrMUsep7LgWX2WE5UVI6tLi5FAPPyRrKpisL7'
b'qz/e3l6/f//2+dvXz/vbQ4mmm6A1aWabmTH7jeTOdC+gD5Ft21J9xHA/Yyi1MtRZWZw9OYvj'
b'hE6logUIHm4tDkX8/V6d5MsjLSS/X4WZzfFwpPc01ezYst5h0i4WlUumBzQO6s/vc9+n+//9'
b'reA0sxiWt4gwAojH4/Hy/cdPz/fbbWqK8f7ydUizqLpgl1RtZG1yKMdJFXNO5rusL1Jy552z'
b'MH+Kc7ddqRChXO42L+GBSnT6fv6dpx07eVlBvDvWyS8VeKJSLt7fwWgHIty4cdatzzmcFk7d'
b'tq7Q86PnbPtlVKzMW5XKzT2VXa8TMkbygSE+KRPD8l4J5LwK/PAOfzSx7yb5nctq6s10wEAH'
b'irMFKo3xMvnrOwGnV5gbCmO35mpchjR5lIDePXDkM7y9+ePW21ZJOBeaESmgESwLvc7UZXsy'
b'RGovAyAlzGTbrPc/jM7z7ASaUz1BjbKX0MFzxmmqogYL2yht08isuiGwxzmHzsFhAEwiTC5h'
b'ZhOydlNTyOPt9evvv4nI9vypB799++KMf/rn//L808+WPUQHn2GKq3UGxuRclKfpxVgn8Jht'
b'FSEcISCk2hoLsBZBTc55mYr5/ZgZigCRiBPZeqZy3913VmsvSwGbb6EiDCbi5ehwGZqMOUg4'
b'HZTQNO48gOwu7AwBwkOcfSgOpGA8gellpGAi9Ae8sPmlBZyUFLS5WUXE9w4P70HNhKueYri1'
b'WyYC5PmZ8Z8FAFOcYfiVZfR1iVGsnEmw7q6G2far994jTCQ9NAd1UiGBkB47gtq0qXGAbq0b'
b'AYtCn97T7Bc2pdtYneJUqoWMGuEK0dYEtofDYyph8OiMUvf3AsbNzI0+d0QaFeEBOOPzr7/1'
b'x97TZgsORS1drkoRQtydVFNEf/3+5fPmnnHU8Df11+ebQkShPZxekcCLcFnpbZKfqmaNbHGJ'
b'gRUxQfdWZpJ5cdNR/SFfvTDA6V84ZFDypY9CVQAYR+bMOL8Gl0aqiKmotqajL3mbRXdB1ZDQ'
b'tt3rnmd//B8d645OUEopVemAQP3w/CIhVL+219fXl5eXeU7NwPAMYsl3WHnm5RGnLshn7b/2'
b'+zy/UC8qVJ3Tsf4lzx0n4pBip6PUgkL3Pb6eYZNMFJtalZTQlpk7jvqnQKpFUC0OSGi2+ViU'
b'ZtHKSBwGwhHEy5FeRzjHc4x4eipi+bsq6DKZSq7VotP/o6yzwaWvj141AczpPZ85Li+BDqCl'
b'qxjR4b2/ffvx5fPXz39//fYVEfft6b7dNm3ZVZFleMv0Be77nt6UbdvK/T+8nXgnQgAMV0So'
b'anZIjUK807SnRCqomlNYNjbj/Ysdn2eq+3xnqIqoWHYO9AgwCuKAfrr2rJR9uA+nQTJPSBUY'
b'4SaAtdaaWakCACK6qTH7j4oNVQzfv39/eXn5T//1v2zb1h97sgwAxqND4RiPro+eDiRFDOMz'
b'HSHFF6f7DGMeVu1nvNvxzxhyZT6xniINHOaELLNR+pnOhLaL//7yxJX1DBJ0VvchlXJK1l4W'
b'kdMWTSZyLljMQwsF6bTWk7nPzzoatWCx4jDiaKcVDh8q/EFBg52PJ56tMmB25fyHLDtSMZ9+'
b'i3mT4zVXRvAhE78cqxgbd2HuNlUlKwgjIpLe2miAw49OGhHh4fDQ4VSspR8ib/KF8b4zCJvt'
b'dmKEa0+9XYHDakA6TxzSzEwAfTxeXh9vn9rTgGlZ1fFM/nMlvPKTchzo7k2FDBuW24WlTNJV'
b'1W3bgH31SQOShTk5sqlCQURHU7CsXDKz1hrhPGDgSwAotBFsBPRpu2UiWUo8q9SR4XseDTFQ'
b'TjKKsLW27/vbvlPk6bapqhDZGeDH69v3r99E7Je2te3+9nj8+Pb9tn3Ztvv23MhsLJKrCZEU'
b'RlkhcGg2WrwoXfVMp5KKKBiMwqg5iCe9S1E+q8zwGpnuDB90Hhxsh6sxMENkY460vOFcleze'
b'H6SYiYilYt1ai4g9IvYOU4Okd3CP3WAwKLWzJ872phsM+x5USojDlZqfOzs7qZX7u5lpawrs'
b'7r7vFMmQ/bwqi+V8jE2yZZdUmr+7J1h7GgAcBb4DS7AE9uiU9QFypQwP/TQABr7z2y2zX6ad'
b'ORIeZCnULuj3QCUymW5qPHcImlteZj6MhyOgAiuc1nWr5js2aYnrS3oKDrONLMOp9KFhOGVK'
b'hohYE1Vl9967ajMzYWiaoECAX758fTxea+XpUBm0QCeHaBARNlF/e/v8t//5+PJZNdnP/p//'
b'/Am3Z2Ayq9FDAJXjuHK5dZtfGODqDC1u8k7cRITDejgEmphR4VOIEFWCONnIhf0eknRoO+8G'
b'drIT1l/rns1Mm+lWfVijOjwwQoRiMJhuN6qFqFZHmjjqgIecWXTEwiyipnZEKTiqoPdpz0xV'
b'b31HTneCiJk9Ho/np6eDwBbP0arnnIvgjzyi/Lmtvy5unWS7lyl9z7fXGRORtTHWKlMuoi6H'
b'heGzG+97TQk+XVOnHbtppPjMKRGOWCrJSpUYjUdDUJ2EquD4ndY/vCi6wH3OY7ThziHp+Buz'
b'kwCGKXWm9hDRZUbPFdWnOTxSrMf71luswyCZ6xl05LqIjKoOkGwKMgKx9/315fu3337967fP'
b'vwn5dLvft9u93UXETLOUlgNUJcVnxje3bbvdbnP2Z8iyPhfQwKx/F6koWbYkyt4EMjofHRQz'
b'tP8uZ3JcGUGqaXFEBWvWpoPkmFe4jsD0ysrnOFcuf3ncHEB+8KXfmdoBhJqMeOXLEWVv9H3/'
b'9uVLlf8ChMs7zU+G+zbJJXUUkqPQNsBTruplruaAFzFz1csvvDLHOCE1pqSR4Zmo8YiIZCLZ'
b'sS6H65Gx7ruFgQrP2nkKxFn+C2Ak4dSlRcXLtUfHiXfHNF6OF2daGEO/TdNiiRG9vw9JIhLF'
b'ec5nKtHjXF8fgTNzrC/PiVIcgunyxFV4LN9cGaXIYiosdP5+VnMSBuOtQ1UBplnuLhSGdJFC'
b'pcj9kqkXqlrNMvUDobv8k3PkPFekLGtx5JvqaLomIq21x8MySKhVpnaaAQxsq4RNRIlDTBo7'
b'5OL0z5WhO6ZLYRD3KkS5UMu6f8sAUAWQimlusXTWXuJgQIVuTFSakNzD+x59iYHUPEiVm1+m'
b'JT3EI5u2uEQTe77d3f3l5e3vf//r7v6Xf/7X+7ZVmk/f91d9HQlLKpbjLPXRFMFUl0Uh0O47'
b'A9YUPKKFu2rQEzdCKQM9gvCpElenolbIvpHfO0IpjsgzlZJ+6k43qDQ1aOohqDBwEihJ5LUh'
b'NGgIY/e3/lCWj+DxeOxvDzHdrGXu7+67Jeh0IVUTKpu1fMeZK6xIeF5kVjGAdHmucY++B3Tm'
b'MR1LMHOLj/2Vda8wd9dFzc/T1qLDSQZZ4zoZ41z06fuY1JVCofe9tZYzDRUTpSCTqq9kP/it'
b'LAcHU1ufJenbT9sScHa1NBmQqCAZTxBYbmQdNnzNUr+C3jJXjKqG1lomlCZEYOZ/mkgWLgMQ'
b'ay76/fUtujfV0ASYyBZmmYI1eUUIlPHob/79c38lW2uPcDP55flfhTemrNfDVXERFu+5CgaD'
b'LSFRQiQ5gGYZ35pEHo6+B6137/n6maU8CeZ02w+fNZb+vcxZRzsuC7JwVqNkjZpuaCZ2M1hE'
b'BNy4qarLnhDqMnxnC0+rHZl6Yw4Ig++5O5mBi5ExC5HM7F+SmtZpXN+OZDBaa/f7fZ0Ezt07'
b'ijfmtR/KgtwJl1m6nBlnv8M6sGkqr/fEsbDX1b9O9Xml3n9e/7nu+vd6++URy7UstAWg+l0s'
b'fxO1V5eblYguuXZ5Smn8Ihh2x/zmCjz1IfHP33Ad5IcjX6frA8LGmOf3Omejd0jv+8u3L7/+'
b'7a//47e//090//T0vFlrUkiCVEsgS1t8/xlAP1wRIxCG81bRKjmX7o5gdv1Fui+XoRiyzXKl'
b'BmWGHeFS4c5KTbswTZ7VscwqpjZVlcGjtZZHETsG2M56fmqNueMzyAyCwXStC0+Gl7vv++Px'
b'eCQEigmsksCZOL4gPR5Z4BUDA/vl5eXHjx+//PLL/X7vfZdh2Xt0gWYYRFX68Ixz9C/Ml9UF'
b'qsRjn1FLRXVZSj0mIojQxKme9nheSAMIcQwVdmpF7o5yxzMYwspZhwhUgiKjKWZesu/7vvvS'
b'byuNhXUdcul1fDjEZ0TtCRFhBDOO64pcyumNWCTrieiXWK2qrrtGBlpl4UMvTvqV6eQGjhXn'
b'JEtabfE0y+V1FhNLhIt9m/SZO/wjvneyx+Y4158u7zjPLFKvGMI7NndKg8JcRyswbAMqxTLo'
b'ESbIxq5KNoEPTLq6aiLcL4cfaweMFKrkdXG2AQKV4cjRhVdELCvinp6ehqu9P93vpLJMRxOR'
b'UXtNETGKQNI9knpa6UAC0UIpyf4G8GO2q5gzcxAIj72xiQigQVR+K04K0OwJKiOZzb3Symvm'
b'kS+YRFsWSwL8R7yhJzYLq3xreHgkq/tQSnEtqKnyVNIAoCFtAL59+/77b7+17fmXf/qnrKX5'
b'9v3L/vDX19dxfkvuuocroVtrolm+ll7ex+PVPSuqbWZUi0hEJcwINZNnAp6fo1cKTar0Yhrd'
b'h2nQ85z5Ob29zq5Idd2CPSqnLEt6VZTMlJsQbWLSAu571B1QYAnRu5htZom28fBHk5Zldp5t'
b'6lWaKEwzYzjh7s45xANxb+gTQ3ev3OKLYIuYWM9D0wIIhGgWe2ByYVbngbkLIvrcuaotk3Mm'
b'nMhlF687N6PXnYBHCJooVSQSm+/ANhWRmdqbnjEsVu6Unu91IJEqkRrgsDIziTPNSYbrYjwl'
b'M85P8d5IeACqNdm2bRoAdbfI7KyyXtQ2F3177EERbUA4aR85U0wY4QI3uu5A7IjsVSKKKv8T'
b'sdmw6cTRVLM0X8+8l+REAcp/zx+JIJxscQZmSSlAbiJCeu/97e1NVe/3+8Vxlv5XidP8i9QU'
b'Vh7CZLQL0/9INw0Ri2EcsjVRE5iI3WzLmIl4VU2ISNvuAgM1M83zpSmisMK/L7SU0qyG0DdG'
b'4R8AYpA+uppcpnO+nS4R3du9mWLi6xfxa3mFHcPHLUdXW5nCeqF26iT+2kZHLPEiqxYaLtpe'
b'rs0jYUlR3TKu9RhD9dJcKqDS8Of2XBZiFbV5k0N65tBWypvIJRVYyNkaL7vu67HswIKAhJpd'
b'pPrzgQLPdx+AiZcUBzp53hiF+SWWlYX5YgBUzZFK7OmW9bKHH2puDF3Hu+hRtj5xvmDz/grE'
b'6/fvv/79r7/+7T/eXn/8dH96um+bJenEUOCybZXrUquUyY5I8N2lqcpcIZHsICPpC5urVf62'
b'gBAmQoQD02NNsmeVWOVTZtzwsHQBDHvDIgIyUMPPRe7F71JQw5HNzxYKk2Xbc6iYl78rr2cw'
b'0dB775rultxOS5JSKhB5iXuo6v54fPnyheQvf/mTqu57N9UIBlP9Ku9jWjzjQn95eckUBTOL'
b'BQ1gprsD1RRj8r6IWBG8uGifc73n60wXmrtrAglGJTEe9DHgcThKDjiC3du21f2rQeHKEK/p'
b'aAuDlgv9cTh1RO0y2yPRaGnFX5j6vQAAIABJREFUdbYKZrRr1fAyBpBbbW6S4925LO15rd+L'
b'NACVi3wW81i3G4941HuucTnOslzWd/ngybwu5SqDlllaGoWMchFNaCZTUI0WCEWjhpIMn4Kw'
b'LMl0+S10tZJNzmOMgMwEiPiDUeerQZSgJHbQy8v+9vb2nNDgAx1vvszIK8Ok0cvLzpGkrLYE'
b'Dj7kCkhYk8frHqGmPZXpiKBH7z3gmeczM7OZxYtDN1XVtoShWSXmsxFB8de8yf7wylrMN9VD'
b'5IkcdrKIdB41zbmRt7YBoOpt236GevDl7fH5918dvD894/ffoc2db4/Hy8vL4/EQkdvt1tot'
b'IhDUJq3aypY+lxmY09Ppj93BrQQGEh/N4UhI+JFIM5NkmrSEIFuU6WQDJ6iN1XoZ3xe0XIrs'
b'mTE/P4tYZRTTY696qEwJc99nyk3lvEp2DCsfdhoYXCMXJMmm5r5jeN8LUUAkFmxrLvyBZHbH'
b'xIxlZNKplv2w0LlPeKl6ZZaoyjiMmEpixwWjqg7qvmX6pFFF4Qj6K5XwxIY3SGZNqLjAsvPa'
b'UtsXK1SrSMFyApiwDQdxkjdLaM5E9kiHa+1mEWRnxiaacyiITJloihzjAIVI75W2hm2zpgbc'
b'IiKip4tERxCYtr1231wf4Z2M6ieIiJgoQJP+Rfrd9Jef7395vt3x7PA3MsDNrkU4cvZV/wPO'
b'uW6rqRoN0XPyaCYfy2JWZh0tuG1b9iRePeWTy/EsUJYnchVG80wR693XMYvIRCYNARXaDGai'
b'prC0+iKLZYYXPN2mcnRSytYOCkQArfJOlahKdEFunIs4SHEG+Br8vwjWcQMSQFskbNK/p4Nl'
b'wZ+9HBw6/vwmAx1juYcIW6bufb4clo152aGXhb4u6D+UjHwnsi8UJXJoLx/cJCbCwPn78egP'
b'hnGeigvx1z+rYuAoPrjcSmBTlT29wkeDFBEfBQjvf7oI68uvl1uu87+Op9HfXl9ffvv1P37/'
b'7bfH28vNWm4YEVGkNcLM3ChPVpSrKQXqvJ33vv4Tx1ZnDFBoEUEMeQOHSkRzhljGK5uqUiIi'
b'SnyiwO/dne6cbRfOaFCTKQxMFFO17GAZdCZ6OQMRzF4lo/HtsC+Tjq/8iHFMIYdCHN2jO4Jk'
b'pyBEswoNQC45w4doFJDh8f37t99++/XPP//p+fm5Np57hJPpfHYW+hE9qn4//RZY1PS5cqbH'
b'3uMIv8oAVRhd4k9Gy0oFqzYcI6UYolkJM9xkpyO3cdWQMfoASJlJVif6FsHSsJ3LHUQi+9fK'
b'dCmPc07cZBn/laaFQKAaO1zVROTKCg9WWHvyMDPSUyhpiOT1Z5ANXBwF7wzaQQmZy/RB8h+W'
b'7TefW+OsW9uHV/2D45BS6WcpdcdTX8tVdfc9qX/El/MzGYLwkQiLM67OJdnmNP4RLhOR3AyV'
b'kRIREWbv3l0CS1JoBFmwgC2V4GOfJnbWkqCvlRpZTrJZYZk31jLPS0+yalwoVnVlTF6079Va'
b'JUGxnJEOmxzDcA0ewZwgY98ByH1TVfbDB7ySVUQwRIlNbW8t1XERocysoaIQZQG9pzAjCRUE'
b'UilpEDMrQBuR5/sTKT9e3/72+h80E2titm13d//27dvb25uItNZauyEjkxITSQNj/3JpnBwF'
b'yMJgdeYWJGyOUsKkzWhA/lVMAGVOUT3/+Q/JcQDhwfJzqu+zM2Wlo1AJlxGvmEk3qi0rBNJJ'
b'n9xylurOz0tGfgpC5KJXk04msL0E/RCQc+Cll9AkIx7pPwuCxuL15HBHipqqtKN2SJdmT8Fu'
b'ZkJQbGbPl1GhVFjNZK4QXMQyShOiEpJJs3lbM1Ft5S5ZJvhQJccAuJhh03m/BH6lOn7JQQbJ'
b'V00094KaKCWTXkNiGoRpkADw2DNn8na73bfZ5XoTkUhs3giKhhre5LU7doCJHJSlNTG5x9wo'
b'Krhv8qfn25+ebzfhY4eBHbI1TYS/iAS4P9zS+b4XN/acEJJXlzLG/hoPnepUrd3I5sUClLfq'
b'PQe1LzjTqxY1p31e+E790uwlehqPBEOLyWijqaC6NyPTrRAhPU81M7EG9RxpyPGWnN4oVi54'
b'vWdkZXx6qTEhiVcl8qySZkbA8c1E+icZq6lQgxSg8jLy1xlVy7uHLIW2Wqk1Scblw885z+9H'
b'YGGO6Kj6WJ6bAwUyw6aSiTmkznsXHoCqPaoFXe3DgX8vSNzgMaFY7aJxRDZg4EJstZDzxGl2'
b'1l3r03IrIUmdd8gPmcha6axjLY4HO4iKzKFs/WEpIPPgVTOpbMxAkGQiU83E1+FznZQpMkXD'
b'Wnm4QJjgGCRlWJOCFv749uXX3//+t9dvX5W4326bNXjQiIGwOzmTu/fHDuDiUcN06o/xLX4L'
b'kEGfWeOjLwMdjlAYKRHUBgu0NjA7YyX9iGD3wW5UEBh6rTJGPlvWbajOgtyM2ASBmLlgKxcY'
b'ng4c35CZ+6uzhPPQCQ7HQKYEaNsmeoNXiRof3pvazEh29x8/fnz58uV/+df/2lrrb6+keN/T'
b'MbNZZUgLDj7OYeckN1HVmf2/7vYikaGYlmm0eE+LkS0eDso6A5KZhZOeK6H8rP7KeESEi4h3'
b'MuR2u93v94Ga76nr6Jobc97tc8+oHnlBc0h6VqNlUB0XOLP5vusOne5kAArpXCYQIbTDMUiO'
b'WNbylKIRUZWY08ViwYNCDulSCsECf1SoGkV9J1ZS4kbiMgNzfsbaXX9SNTLmc/PIvV1seuL5'
b'Zw6zIFFOSQ4l+zY3oKpSlZGWeSaOWt58eo7H3Ra6Sk0rhAwsslMHuE1EtNbSGAMcISKrTe4i'
b'jXDvFJFtu0dko8CsZukcb3p5R46SLFmMEwDaNF3p4QUis5ATYlQi7XvGJzIpAoOEWjYxnHfL'
b'D/mIzAjati2dcCKVBi0iAhNxskRv0s+YgWr4MnhC2T2VrXBMYxXaPjzIvWm7iYCZuhub6adP'
b'T874+v3l0XdoC8LMnPF43XvsJq0sOknI8FMkai7KQbTp0ht7cFR21MLFOQF3Km7xzjN39Mdd'
b'OPl4akzfuUALGKJKKyMiTJDV20AlfDepsCFJsyZNN5WILMU2suCuMaClRCTbp/aovX9rZbnZ'
b'UtSkp8orkAycCxmRedWHCoXR0GcNBKnUNyY6q7rtzMcSwocD+5zlwigeMkVkRVPbYWCrasao'
b'kzUNlxmnSTDHny6RhDTkCOit95lnRmLdShOpFjp58uPxIAk6QVQ43qAp8qV8XikORAA00MPd'
b'+YjOvVkVs4Fglpbuvas22jb6/GjGfRLnVyoRvQYocDoQjhvAiP7YvT/67mZmjYzU7iIbOiyS'
b'VBeU5xlbu7DEY5bwwXGcLAdmRk2vQ0TS+E85y5jMMwdyqkPIo2Z7JKtMouLwOmniRh6lXvl0'
b'AKAIqpmvEaaL4x+qGoWarVptwqd4He8yk3fznw6IpXpHYbpkc0WV0VGOVAySX9S9JuiM1KFT'
b'xbetJRvM0a4UOCfhjxLmD79GTfWAxz11+BER8aWYah7zm9NPU/EN8t2ir2eOn64ydD1n5QaH'
b'djGcgJNbjktMzhIWZ4764XHkQgwArAyHLRfG+e8H/kFegvnH7P2j48L51ze9Xr5Myvspff+s'
b'9v3z377+9teXb78j+vP96efnn7dto3sZs5rpASDpwX33cE7tfx3HZi2ifOERPd3wJKrQkLjd'
b'WlMDwsMRQdDMoGRm9YZn9n4EgiGkZRdfMILsriJ774ldPHBI+4YeRIO97Y+AbNs9KEFKBCTT'
b'5UJABpUJHqv1PQwgVHN7BSDuKcwqj0YLhij1jWQKu0cPQs3MtvsdaibqSGTmCm4035AXAgI8'
b'9v4f//Eff/nLX/7TP/1ScMhBsxaZjtF7Yvlk26kEGtz7/njrArtt95ttCICJal/g/a217okM'
b'Ur3imP5Oxs1aZi+bGV1sGBjDyqwcy4iwtu09MRtl27asHVW0RMbJ1jYSBkHasirCQO8e2Ytg'
b'24DY92w7oLrkmA7qq44QJOlQWGsKJuzX0DlMU4IGwAouG0kJGsQLZf9Iyq/7p3kwvumBTFdz'
b'd4VI2gxaKN1UkQN5ZlAOMnVDSc9mPCacOhxIpG8yytm+7NYQAZke0JFMKcJgSGRMYcQdklRT'
b'DnVARU8wBDybzXNwsYAMdoZZgllRbYsxCKYMIs02Ibw/VNVUfd9lU2a0uGZpsvfDVQAxsict'
b'uTvwuNltjwL737aNTMh8ZXia/TYwT8ysO7tTnWVTlR9N976bGdllpmg7gqmONKJ5gJIZeYnQ'
b'T5IP99YaxOgVHSRLqeq9Z39r7zRT0y18D8Bno6XC4zdQt02gj7d9j1fcW7TWTCzt83333g+7'
b'NkZtbpbZQ9idbduaWfiumk0xsxUFItB0dhWlNdFdH/1BstktkLqhEkKCGeERQsLAUERkzfGN'
b'5Gsn4VuTiBBS1W63JkT0HfFwf2ytCYjoNwnTkCx4Fd00lRij5zdFL6mFA6CoiLh7r0xrSWbb'
b'PZ01iSEmUwAkPaQmMBD2l8gblST02M7Tq1rfSMVAWmutKSkRfe7Q9BwXbhki3czk1nsHtN1s'
b's1aEJ+WSTAtHGSEoDw+wd0/z7L7d7vc7D6dPKA85GnIw5/3RIyITJhMYMzdkDgONRX/pfSuX'
b'Z7IvboqCbQEEfjhcVCIcIWZQNdVk75We0URTGiZdJZwUpgWLtLpJweyTUIlFUgjfQRcRgyYO'
b'0e4BsJlkl2HnEQ2g0moNY08ucXSmJwzePUP0D++6q2mzpi19YBcOUBsBEXz0/Y17BnW3bXM4'
b'vTM6kW1q0EM6pQdEVSD0nqMYjRrQwyGiYmbdgN4fb6oZK6wIiMdQQ1MjldW5NoeUNgB5AhJk'
b'BCg6oSOiljWczB7HQ5HMdL7sOJQOx81aZ5exf6fvxkef0Bn/nKpdLk3SLge2ETDb/w3pNvyP'
b'AVoC3kadpmqUpq1lQQjhuqnAjFS1SHeRamvt7S2XxS0b28mCs5fdeAQKF4b7/vBwikDC/dZa'
b'7x22SWDf37SA+yqwTbpmc6mRthTZ+7y1iKhsc0uTtU+WmFrEKuocIJhojVgOqVQ/cCKollQq'
b'591kGtPnUpnMEb1XiuZcApEFIXf462TGB05arALw7GiUBgnoU1xmTKYi/wdDm31RliNrCcZN'
b'J2nVc4uxyFI+Md9rNEBJEkjjL2vvJdWc6cbVhOM920JS+V6c0WOOwuPEzjaYQl0WmzAVyRHm'
b'WG61buryXc5ZXLfV+0NhU9tpf//r//Pt61eE//zpp6fbPX0UeruNzZBTcYQg15jA+ow53fWM'
b'A69GssPMSnAi0pJpTq6kVKH3h9NSk8oHTXddac9UCpqqqmbGqIi8vn0LV2R0XiyhJIQgQhgM'
b'V4x6seWJ9SKQS3UBDuo4KgpSv8yq3IIOFC0Dn0MLFwJ8evr0eDzMZN93Mr59+6aq//Iv/5JJ'
b'8xhYE0CVJJhm04okjgMradu2iWWUQnRMNRcpPii6vBQnIJT8m3lZiY48Jl+zf0qMBOLJAYN9'
b'NVvrQSPsFxFvb2+PR7/dSixhyZxZ3VQkh1N8CNozLdZpEao6kFXWt+M0JicpixwYqEBlfDJT'
b'rea6Ha9vGXofgbur+SsVDdDRVAoRkcRhQopUV9uzGb1whAUrSYehsuT1AiBcKkK1/jRn9WrK'
b'52eTiqvURDBxG6s1m0IAvcQHqGLYWntEGtuS1ksDMAjKUZ4Wj3PRG0dXh1VFWGdpWmvz19kA'
b'28yWBa//SSVY181772mxdelPTzcVdOzJ8ir4gNL6IxKv94hazyWXwX8mvY3VFAAmDSqC9vTk'
b'7i+Px0N5kPR7L0wZJ7NwYoAZ3G5NK3uKiYKYoi2H0lrbw5Vqm7Zo+77vwVszcs/+0zmdqGg2'
b'STZVF1HVx+4RTmduxKZiphRRyPP9hp9/vm3Ne9jWAOzeq+tqChKImT3d7tayJJ+mmR6Tmz17'
b'EBrJznD3bNK5md5uN4OwaqBpcmjwrLx/AOh+OM6T6davOAn+ZZdFRCBCRLatjWZ8bZTSwt33'
b'cEE6OCsbLTtrkImsEKqAVlNeUdqwpx10CRBOUbpW0zP3vmePgJS8mfIGKk1B0kBK5lSGe5Tr'
b'weeKSCY4ioRU+9F6KQJAU0HoQ/aWrDIi7Zks4VW2qniIlBRWnrHEFVURpWlGFdQdbduSrnLt'
b'SDgVgG23fpTfVBM0pNimZ697jwR3X9SX0Rwgd4qqDhyR4OiVNhY0PVVVsOfhYYjEpz3wfE8b'
b'f24EhyK8E3t4a0rCtAlA0UwXcArUYuyGYki1+dOOkkyvNUUGsEfjzqz3PxhdVMLhiatcOM8U'
b'YTVLrLh0amijDFcyFWC9JNmmiMjMixvvuDCN4Xcf7tv10Ss3vozniC2doegv8ofzKxVkygrT'
b'XUMilcJySEmZUSODS9VEgl2CUInqV0oyJJsXiY7oXBIwAeGIa6GydEoRJGkKwpJR3G7bbXua'
b'77g/HqpqVkw4u7wDq4A7BUAmzeRnpfo7sVgTPmILa9FFBgBvt9tMIs0burvhmoezXn55bs7u'
b'tCtkOCZmRdCiAAyi4iKiFj/9e7UBY3mnrJEl+FYWixYCLkiImCr7oSecEId4Lau7EBWGuHw3'
b'vA9OFrmaMe/vNu/5jy+83KH99vdf3f1+v3/69Om+3UiqyOzwqmIi4qNfNLJxgB1x4TmOmqwy'
b'DaoOz73vPVprYgqVdN1lAHTg/KiqOAiDNCKYwXVrranJyNcHAI+0FVWVdI89ovXePfx1f9y2'
b'T23bkOZYqTjHhA5SmNQNsaSdJJT09J8iSgdFLjBwZc5qa1atvItAB9GrqolVRgF93/3z58+f'
b'Pn3653/+59Za7z3OLE8ymjToXiBpZsjAtJHqdFvDppTZzQIirOcOSFbR4faaZCTT33UmhUnT'
b'rTVTXdkQy7QFhgGQ+6/3/ng89n2/3dp8hZWJrxM4DYN1A7yn2ojIiGkcWW012QVQ8E4LWcl5'
b'8p0zmzjq6IXgH2yVZSswLXjG7DeZ7FuqU8FHL8h0hY5e3xj2CSZo0jA8cpVJVzagMIiEKmkk'
b'iFT+Q7bD1oUj5EODKpJo1hgaFUnMPATVVBOnXCnRwtB+AB3mTxE+S2hsAcVfme/lyJmZrx8R'
b'+74nNxc5loDlY8slUBFJG+rxePTeRan65/t9W9Y9J6iCfpEQUcPdoBAb5stxyVzlKuChqIkQ'
b'oqb286dP7vzx40dRtRmWast5n1QMp4GdLZx675kpJADpPCg2uEwLR2Ley9tbxG5mm22990jY'
b'9QGSrKoJbqGKiDDVcI+I3uP5+Xa/bTGyj8zsfr+TxA3STKC795SX+bh9dxG21m73LXuHtxHH'
b'P0YFjYh9CWykSfN8uxM+kprSgAQARvqrSHLvxQpiVCjinEtzkUypzmbfBPl/CXu3HjmSXE2Q'
b'F3OPe150KZWqumrmzMHBwfkpg3lY7M+exb7sYqYXi52t073dXaVSSqnMjLu7kZwH0swtQupe'
b'h5BIRUZ4uJnRaORH8mOONlIAoOqQSmx8H13ZjM51AiJ+9mdORKXpOJoZGlX0Ug0AslkUcamq'
b'jFmlT52ZkIWGj3FDNjNUBCMx9dSsMPog0uUDFilp/dU9qyNSq8RTLnqFCpnj4zUAUjN/OBCt'
b'sDPEhIkZCDFFVnecboaICaEAyZjVRETcHIyuJoZIpjE5japhRPSOMppNVdFQ1IjDRa7qTqLy'
b'TZnZQ34SLHqIgIaExQbXgq+D965oVRm44Y6em0pMRGSEZpB9OpE9B91dLTMU73CJcUKQGbPV'
b'M6tmYVe7DMyJwtry6wuH5JuaFovlXdYsaJfbLWkNRusF99j8Kaxujc/Y1YHS6Mb2S+u5+Q+u'
b'9v31FyJCIiSy6IIFqgpEiEDqsfRIbTUzQpRIxVIG9k3h3C0aKX+GACiScw6UuY7LDOCCBvTr'
b'yzcjFYL1nPMop77vE6Fq9u58ajacTl3XuRXBzBwNnnU6FDwNBMwtCQPLEjWfuUSGEQtlXHPw'
b'lTVVA8vDyTwRDlFVrPAtTBNYMioBCvwOEEe5RcsbyZnI8wytBh6LJPi/SR7I+9aViyKqeRF4'
b'RwybKW4SgYRJgvwwI2dZrChqmV5PJJYwE7/yJ/VaSEK2m9TfKvytBAKEA9lWJDp43SJa5f3t'
b'Gde4uJfb6urr/MU0DMNsNpvP554qR9W0bxygYgFiSqlL19Ts024ppjAWZFFEMMqSPM3Hg6Qg'
b'hdMNKfmmTSl1wAgsNjJ3XEyNKRXS/KNEBiKCIwrL8Xza7fbEHd92M5y78SGigM4RbKjfGDkW'
b'Y91JsoLrpkC20JwQVUFMoM50GHxDOfgNU0oiY0ppv98P4/nH9z8sFjMVsUIuAeWzROSmlSPG'
b'BtFREgAcWpskqTynumdM/teYpdKXoKuBgvr+KnCtxsQGUsXGpYbJcDcXK9c0MBFdZxcDRGyz'
b'ohv5K3JZtECdySpZ09x+dcXUF1Z4M8Pm9Qr+Fww9hkhFYcGlfr96Kl9UM7PYfl6sY4jkZAiq'
b'158tF0LJrr44mQCgIGE19jWdYc3h9Hdu+43rYg6/lZIZgQfPZYsIrCM/yMzO7Y2IwzA4Hgqg'
b'pIbo/7BW71Ut6Yi+N/KrgEc5YKBGpeuqeV5ZIHmgdY9g2bPMHcRGIMRZFjsej8fTnhmZ7+Kc'
b'FgFmLgseWKZeS2b1UeucXIkx+h5nJWTuuvViaWYJk+czQESCLqZXTP3hvZLHrf9SPdxRSaGC'
b'S5/Zi9s8oEkpMXPOMo7jbNExs5Z+4VXOmSlyjIrmFAWP+mnpEmBmaJCI+773Q9SHyEjRMZcw'
b'JQmqIu4YgYgSXxjoAOCV7/UIqRY5gOeaaPGbIuweTIIIZmggrgvd66hDuNg1ZfX9qqibX9XX'
b'ahfIaro8sXtEVc+oas5uJ0VikqJyVG644QoApGB1U6uSG/1ctx0AYmnKSlqgaSQLEhWRDI6R'
b'IjkTAvlJ3mBBMcDy5NmUG3YAA5CSH+L2TYV+VbU5GEN/z7qemd2l9wmUqDYHhuAdopKuWU8T'
b'Twmpk+xfLZfk7sVwMV+1Os9fL4rHaaE4NmY2SO6gCeaXNZ1qHIucm5nIGOCsMTIwJQMyBEMK'
b'rl8HtWvbBavsSeEpMVcaUoOoNy6mjyIiTOlSl3hntcmsAArNlm1tyrpipWK1gai1dDWpI8IK'
b'6FzcDr5+pR5kYTj+Q9z0G3coM3nlADioFKGiiDy4SGfHaKoGzGbk7q03sANVMwQlA5FhHM9V'
b'3sJkMDQj97TrjLtCrkq7ToVr+OVyuT8exnH0MdY5r0eAKyLXh1AQIn+DayFXqu5l1VMAEStl'
b'OV5aWRVW0NJqYBgGKOdIOURiHeseqfex5vS0AjC5fq73r/J/pabC/rRpQdsMjlr8hoWzDALf'
b'4fY+1cKxkkjc6kMiomI9XklIPHkzkK9lz0qVY5U6xCn7J5bvK6krYO6US9JunH8gtHbpDPjv'
b'iZHm/WzezxiJy1yoKlNHwRCsWbKIUOKUkpNJtd9XjxxXT3VhfO1TcqTNjxxUwUFHVVUBMY0k'
b'GrOcs2pP5LUHRmAmo2YzM21czDgHgJlZdHx6etpud7d3r7AG9QzU8pRL0wy1CEowh7iKv4Tk'
b'vdDLrcopAiUiOWvOUbfwjeku5fFm5p1o/duPp8N6vX716hW0oTSyYO9xTrZGdnzv1U1Vj3Of'
b'uqIoFBFTSYHwHTUMQ9dxebYyWLtmCWgBDe9U4Nu0LpbVk6GpeHGzR2Q6tDpmKuLr472SRZwC'
b'phdygpdGbZl5JSItoVsfl2+eK5M0DEQwKLD+17sr/ltQIyjfR277e3xUABEFsqqSk37QNNVu'
b'VGDJR68VUNAAbxDPMCmOCxXgf/87Zr+X8zryQW67Bw+EhxcnQgzyzrNkzuHha4GIqIalwt1n'
b'Cpz2jhlLrxmXW80DoKZp/g24+Jwle9Lf2c0SkGdSuGBYNEguRRpQNEhKqerrIjLtoeth5dAh'
b'KdF80avNT+PpNA7DMMznfZlAkAI2l23oXSIc7wTzAHg1lQKt8WPOAAyUSoq1+9XWz9LKZsfz'
b'eM5nTNwRB3t0tR0MTAwJsgiUE871zzjmruvK0kYwsgLGVvISVTUl7vt+zIN7xURElHLObumW'
b'ovYYkcuqO0tmdB4yAPR9D4Bl3MZISIqgCJwICbgWmUFHOechj5S5S0wGIATgvEwFHpvkipDJ'
b'yDRnGcYTYNdxikJMU8UgffcmHwA5kgbBt3I5xSOG4yoJAhwBq3qr6CU/QgUMwJjZEEXVPaXi'
b'hKiIALFqybz3wjARl+1ETIgW3Ve8+iqoCU0tSD4RgTCLIgEgtfwePgE6WYduwCGAei0URLYJ'
b'AwB4K3ELnpJq+Jf9ihBQvefggRpwkwdMbsMFqFQamxOagdfgAsBsNqMSvK3uHwAYoIgyovdJ'
b'9m7EWQG8GhoBABRQAZmia0fE7ZrJLDcsJiY6AhC7p+hJATBE85iL/3kUIDNm13GIzsMRI67K'
b'GYKw20GVbASm1GU0UROnIqxZZICGpOBJk4aIjACG5KvhHEJI3MJpVauXlD9rrfYr3LScWT46'
b'sCm62ujbclu1+n4skT1wDjAXWm926bjbV0ZS/WCVn7rN68mCVft/64oDrnUAuKgqM2tcrPqN'
b'1UYCE5FRVVUFDbMZe7iY0OvToqRM1GHBr78359yinD7PUE5n79/qU+VZHovV/MuXL4fDqeu6'
b'1Wq1WCxEZLvd1sDpYrEws+Px6HTnfZ/m81lK6XQ67ff7w+E8m81msxlRAu/xN47BiUJkZufz'
b'2Vr+ksZ58IFz6ZBYATtruIbrgS4y+n9FJgcPCl6JE8wRNQagU16jqyefEC0nXZ2i6LBU/NWY'
b'w0LPKnnyKGKZRFWlOhhF+aGqqrheq51qruXKS8OoIJVVfZbawivZCA5HP9LaX6CJLbTGRTuu'
b'gLNb9+PC4vfyRSs3CPlJm82mtojTkptFharWT7gxj9OLBUFpB1DHXO1gP0tS381nCyNkz3az'
b'iFLnnLNE9IpLt1fV6FfnT2IipaQ4ELvqIbknsj8dt9tt38/W6/V8PiciBqwp/maC5XxtlYc1'
b'KJ1qJRFTAzF1r9tcRcZKRGkzAAAgAElEQVSgAF2/j+NITfSjSsPFepexY2Hpfvv27WzWSYH/'
b'a2iifZh6H9Wa2juhKFYQkeYcwrququopFn2fqnMSd4bpPUVGJmVXmxm3H7kS4vq6I6etydgI'
b'wDQcaHR3Ufdhz1X4v7lnqVaxii1BNSWJCC5HatULgng7Fg+7zliVlopM1+mN0U1+Qeyh+mxY'
b'IjN2TQSEJWcmEhAbEXKHxFkLv31AXHz75dXuXj8p6hJXR7qVXpv2swuD8z6BVyYTstdC2aTy'
b'NM4YBLAR9CJRMiSCiJqAbyjQFh38ip3D8XgPVTFHmhYW165M0eSbEdFyuZQm5xhLk7j2UAQA'
b'1WtBwgJftSeoVQevPGp4d2KJUtd1x/M4DANzRzOyAqZegdB1T/hSjuM4jmPOXXnsabxVrsqK'
b'ICCklLpexnM+53GWunLz6QlbxLfFO33fqWHfsRmoChVb38ws6I9jWyGAEzuKjOM4okHq3HxH'
b'ceQvlnJq8OkhaRMZhjHnPJvN5v2sNe6JqC1UxdAtMUyfaiJiJlWFJqrmwgTYMkeBmdUEqjr2'
b'CdVzJ65JqK2CJyIAbFjvEzELQGAOyqtwxYu8UrTEDZO6Fl/BV0VcOAUxCo91eeCvD866vh6Q'
b'AJxwE0Oc0RSJLUPw7THFP82sBNxk1ie3QeuhFhPITnAHROSMo+dx9EpoR0Cqr1ECAlAVFjZW'
b'Y3E4iYis6POrEVVBrYI+2UkA0Gy6mhxiZkie34MKZpJFPMcreeKqwJS30K7+tOimJYHKRIUZ'
b'FY0uhb/9SBUG+8pEu1pKq+qoOW5Clas1G9PV8vQtVwq2ffL6/nZum6mLj3/rofTrl+rN41xA'
b'dP4vmCqboX4zVvPDsuZxzIM/FQKiOnGPmoJi1Tlqmsdx9JlwTYuI3tzdO2Q3l2MogIhAaGLZ'
b'tCsbZ7/fn4bjcrncbG6Px+Nut9vtds7p1/d9zvl4PJ5Op9lsVg16kfF8PosIM69WK/dDVJUI'
b'/D1u8UPDC+8Wtqr2fd/3/TiOp9NpHEdEdOdhHMf9fu/3rHSC5/P5dDqZ2Xw+XywWZnI6nZwM'
b'fT6fe2jCTR0rdksNPozjSKVVi6OoHuVgZh9X/VS1Q3xrVHXnW3UYBkKum7p+yp2Zen5VpTSx'
b'KoV8TiJUBaNddxdm3+PtiYbgKZDliMdJJuNuX+0g+lo0vxXv+ubVGkVpvVjXumxntGcm5tB6'
b'2XTUi9SXdvx1qC6/dTwVGOv7frFYCBiBqmpGGyVfbUL/3Q8V9+RkzLGjsBpnVneXn3/H4/Hp'
b'+UlVb29vN5tN13Uajq8QIKhRMxNmVpoLq1U9CBAlOE22evweG1LBWExzjhybi0lUR26xrmud'
b'WRFBtNPp1KfuZr0pQhA6Qgv03rDUWDVGq8DFm+NLp+kqSzPJsftRFOFXA/CGNHHWIXk6bVFM'
b'5T5XuYNVHEvONNeSfNf7RN7ixzxTzM9nKNnSF3JYzFn/4IShula1oJMGiHY1BTvxI9OjUKSq'
b'Bm4akZ9lX+fY+OzB9ADqUvi1uANcwvJogepMAF8seYDziGpkiGCeZRhmAyB6BaELx4VP83fS'
b'hxAZLhtnSiG1AIDgbvM9HjTn5QHNGUIIlSYJ83gBBIRvjpo3c1Kz+WsIS1XHPJpmUGE0KxSZ'
b'IqKaAZQIchbNwkiOKUbBaEm9q9u1nItxco/j6KQoVZvUw7hsClF1QguYz+fOVKglb7IosgQI'
b'hpM3HsCPZiJC5poUR8HvNDkAzmhhiupM9MgAkFJKKXkvLbdKWx1dlbhTdPvGS6nLWU7DgInm'
b'Xe9yMklsbA0vaySz7CTFHSdlMU+mBzNCA5ZQDJg1iCCurmwwjoOAIfXMHKUmqEki0FcKqEEN'
b'PKO9hN1HAiSiHG3ZKSQSCRpzCgFVgVLyDmSOz8GIMoqZKQMnA5mYT5zh1G1Q522zAtYys/NP'
b'uyREFONyZyGiCqjpCLk5lcFDeWTkxDviii7UEyKz0yGIgZljV643xONZVOA8Mx9pmN1eJQsA'
b'zsBWPOEwiUr+sSECMYmpF6u6XjczRCVHVWHyJUKHR/2tlZgsRm5gGSlANICOuuupsyYwY9ex'
b'iIzj2TSbWe8sGoCIrsqAGAoeVWMPjAijE/yAEYXLDkQKKOaI71SR5XObTcVbtutEWFLVC5U0'
b'aDcTmXCw6H3RRKsIEanpnIqmHofxbDA0E0Q1y2qDjqNM2H99f2vPurZBgo4xFYm38iTlv/Xt'
b'F+lq7clY57m9vHoENKLsWJu+gdVyKfZGNiWghJe62CV5LC3Ay+RcvKF9gKrB/t4jtZ0H3CVp'
b'B4IYGfPlswjgASWrOC6SiYyaxURAFMzAxD9lZqbemlfqo5p+wwLxoYhmKAWnMD0qIZqD3wVL'
b'ijnv+zl3s+VqtVit0svLdrsVQ6C0Wi6J6LDdPT09HfW4Xq9vb2+7rnvePe/3+8PuMJ/Pb29v'
b'+753z+F0OCDiarX67v4+Z316enre7olovV7erNdEtNvtnrdbc4N+ubzp+/P5vN1uX3a72Wy2'
b'XK+ZeRiG/fHo4+q6brleA8A4jk8vL13XAVA/XwKAqh4OJyLqulktI/bpddt1GAZzMhVC5gQU'
b'xc1iqoDIiZFyzqMIGfR96rpuHB30yczcc0Jip7sVMfdbEDFLZGRgMJ4lIsoi5/NZVfvU9X3v'
b'NddFUcRBDgBIjUQ1S+bdjkuhfwCgWPMaQ9fF2ycD282Wgs6qOvMUXIqEVfVcpfdKYK5eQa/W'
b'rYcBNkkX2gRoqClIrU96vYHLR7ApK/RIqCIQATOCJ+barOu6LFPWl0afoLhhVsFRKbF3yW19'
b'D39aBXt+fn56epovVh6+UFVDMCADI2KRsUy61wNItfGCloiqD2BmErVMVugC6nyh5Kw1knul'
b'KawY7q1O8VGcz6fj8TjrA1AkBsmGWoqzGnSzTKBBM4FYQIIyigmvrRpq0g5mBXCy6io0p8J0'
b'eEBTBFM/3ppHiOHGtrJSp91/esqvJ197uKL+tYphe1WTK24V+DpUcwEcriOuD1G/V5uczvI6'
b'NU94QVjkyxsTAmpQwjWFO7mV+xjqhPq33xIy33zF9FSt0z+tO6pzfLYSEv/96rypH7SID19I'
b'FJZfGtm4WAgza/0WP2rJECCIqhyuiHuSWTYRkTyiqaEhd1WQtPneuFuTBub7M0wxuL6mr8Bg'
b'Q9IGjWsFDAJcqF8UzG+mmLoolq3bod1H4QmI5KYSgBuj2uJ2ZqIISh0hGhk69/wwDDKcuevq'
b'O69+ISK3UVzDjON4Op474mDealBAREyIisBq6oV6iH4UjaO009P61e3rBQg0Zs7ZVDUrEIWN'
b'aUXaLeI/kxwiUt910HQ1CpXSOFoXIqRmBg59DaqqVkE7iEIFUstJCb1dMXKN/9Rb1eWrstHq'
b'9gsFWB22qTXv5AQmTCOqORlqhT+KuqhShwWBA+DabaeV/PpKKBMkRjMn7lQxuFa/8WwKYm56'
b'maoBIbkv/VUWYhFa8CSuaNQKiASmCNRsPYis7joEROy6rus6332SvWhWiWjSSh7NNiODMch+'
b'wnwZhprzyaBmU3r9ZRpMkaKee20yKOqTxKxOuXlxeeI1TKHRkm2sruuplLcAIrKBVKEyR5cw'
b'4OSv8I1I0kMyEzRhwETUpcSoSJRVvSCaMDj1q76qM1/PBaJJebbrcrH6AGRTMVv9eztR9XyM'
b'BS1e5PWjN5de0oDWzza/TidjK5bT2y5svNCHlwMpT0VUw8WSs2oG09oZye+C7uiYIBbGQgNT'
b'jxxGuNUAa1DhQsk0TQFcjRMxetsk1fV6/f7HH/6/v/714eHh06dP6/V6sVh8//0Pp9Ppy5cv'
b'z8/Ps9lssVi8++G9jvnx+fHledcv+uVy+frVW1XdbrcPDw9eSHBzc6Oq5/P5eDyfTkPf96vV'
b'arVamdnhcBDZew/4V69eeXXBMAyO9282m+qLekiBmUfJmo0SptQTTUFpInLsP+d8OBw05yHn'
b'ed8v1j0ZPe+ed7sDJlwv1ov1ioF3x93xcDay1Xw1Xy3JaMh59/ICRLOumy+XHfMocj4et4en'
b'eTdPs3612ow6Dsdhfzr23M/nSy6QkwtGKXc0a5gS5vO576bTcO66qbd9mXqwr6oCGvU+lUtd'
b'lQLXn3aZrD+9p0ha/evFNnFFEefJ9XX1/vq0MTyPxbR/8+DOeRxqgpcfU4Ui0xX9ZEZr8R/8'
b'JPAiPJ8mAQO1IIhwsgKiftb594rIy8sLM0chcheGkZkQsREahYVhhNQlRByz+gq55o1tGXFM'
b'VM2+AL5bvB+MVKQcMdWGoL5OGnCrB9VUgyIdi4Jw2nIiSpyK1it1eAo4hWKtwB6y3W632+3N'
b'D++7rvPwvd8s9LVlr6BlZs3RVNPFS0t5IhZ1ZmYa5Z5hf+eca/aw75O+75fzxZXMXZzQEEX6'
b'KSUR9T6jvhDV36si0poCFirHxKy2U3U4oz177Csztzz55MI5GOkpDTWFEwJLi6Y/YUwAAjEV'
b'UxLZe6twnXZ2IiqienMtTMbURJZNNaXUIaleBBD8be6y4uWuU1VQqN2yNCrx/Z5aZ7Yckg3w'
b'89XY29PCkAFAo9sRIGKAasHmPm1+iDX1dGWs7CVm6qXIMB2lcRGRSQYwZh5H8nIugAQAaAwp'
b'oYlpljGr5plboqKVHFDLBQCgxkgMUxmiy4UVuFREAKOVkitKpwPKOata38/GcRQRjcbDVOfB'
b'RCVngs7MAIIL3TuCEBFEmoOXMFpKyfmXAIFSh04IAxCZl6rJCStlElqaisBsvujH3J1PY9lQ'
b'gNEn0pgRkX3XEJHplB2BOQ/DMHRpsVgQoGhGM1A1VaIksT+BmZ1FF024n5kNHt3uuq7dONDk'
b'Xbh8+nyKKiAq2JBHoi6lpGEfkhaTJcWuRBXzFoF+k9PpCACepEsdA0yd7przw4jA8fpuNhuG'
b'YRQFcjIQdKocAO9NZgAABGPLPwMghioqVj1J9M+HLofYaCJiSJw6lwQxyDkIi7i4zUTIgMH2'
b'UdbYIwGYvCxPxdt3NM+vYsgIxEF4GSI4mXdqNo7jKLaYda7zvV8E1fiEH1WVlguRyNRjVh0D'
b'UllWCo9XFEPZkhmaIXNiBEdsqlXlGhiBqn9IU8gU/Mg77k8q4LpuOiYo/Lk4ENU/S2BERGDR'
b'zMurL3wURMkav6sxCKJvmptWvtzMHO4GghGiFzK6aJQ2eaoqQqqeJCjYYGpFaFU1OpgSOZ9c'
b'ct2vpp7mDxrsmWNxEVXDFyW0Wd/1TAji5PFmF03Ho9woEr2ms0kv6X2rlg79Y4bXR4Y/c/jJ'
b'bnLUw4imbDcsA5ncciP05LHqLLXKv+rDOuF127rfWe8phUTbcRJmrq2koQQBwFcfCRk8s9wQ'
b'VJSCwUbHceQC6jJBQa8KPhLwU9gz4dc1p0w1AFQVCSyHfJq2AQoaVciQmU+ng4i8fv32+x9+'
b'/Pjx4+l0Opyebm/uF4vlj3/YnM/nx8fHl+1+GGW5WLx99/14ztv9y+5wPJ6H5XJ5//rNMAyH'
b'w+F4Hg6n82KxWK438wXs9/vD8ZxGWSwWXZ+WtBqG4TSMAON8Pl+s1pFZNIwpWUppvgw/YX88'
b'2eE4m80WyzUanYbj4XgWHbuuW67Wbn9u94f8/NL3/Xq9TsTncdi+bPF07LjvZvP16k4sH3bH'
b'7ZfnPs1mi9nqze0ow3jOL9s9KM6Xi/vXbxVsOJ0PpzMjpb6bLVaz1VKzjTKcR+EuLdfzmeU8'
b'iCGOYqmbcVcKMgG65DCunE4nFzMvn1DV4XTytCWvn45NiuqGARF5tY/RpJ8lXldfNSIKdLqF'
b'bn193flsmYXct7QGfWt2imOHdYNc7ab6kSvjIcllF24qvVfdaaufaTQRXN1dS1F63dLuNrm1'
b'h4hYq1tlFBFvIlNPtVpd7paEZxVb2a41scxbi0AAGLBYLIDp7v6+5vNENkUdGxo0BCZWnKrW'
b'ZgWzKL4CK9tvAvDqLhXxNvUXyHT7NmhQ85xlGIaPHz/OF7PVauWR1UQs+dzOe3shojWzVxVZ'
b'ffgiPYCIlV+vqiFm7vtEfB2giE/5wjd4yZUEXD1VcxJP78CCANXH+/qd7VkCk5w1BiuGtCBG'
b'D0u/Czind8P56L8ws8v4FX5ehlY4I8sxgNpuHABUxNQcGNeTUz58fXN3tLUQqJkZtQG+r+D8'
b'8sGLiET7qIghYe0zfH3VLQ11TxWvBqcHvfiJiC04j9HOM45bcN/WU/00o6lDQSLBE4ilYDEi'
b'dQ0MXJ8pVrld3zIoETGLgpBWIOOsKuJBiMDgWJHndK4W89RRjuIqVvWGWpU3LCKNxcLQcRyB'
b'kBIzd+iJjhAEwbH6iS1KC3xrYEppJMk5d4miBrSJ8MC0i93sm2ys0+ncdd2s63048c48ADAD'
b'EpU8FjJVNQw2mGqCaIOdX20Nv4hIwcCjMpmJigmCnuQe+aYxCkynIXtctu97GQfPZ/WkICii'
b'0ooQfguzd5o1MWsbNzjL0JhzqxPqKlfGjCq05T4XbButgvLx+WFWX0kpQXayrekxq2xUfLre'
b'pwwnCItqMiR/g8fGhpx7cnXSJK1dwrFUSwUUwoj8Fi1Mu8uKvkJCBgzLmGjq/QdXIJxNO32x'
b'WOScVStN1rRMSNR1HRrnUUbJGqVKTAwO8WhhYsDSjRgbKMGKh1bnql2aKsNwqeWual0QvQTZ'
b'ANyhRnDaYlT/e44SNavGJiITksAFrkmlmQIRISgjJARGQzJvbQnsHBvKl/KphcH96rygxiFp'
b'/xQ14qoKJfO7hgqLhNQtU2cPChJvZV7c0vDkPYwC3GLRN4oaJi0x/QIF6W9XHy73dTtrftjV'
b'UTSDMmvGaIGsyNWtri6fdEc8GWrFEBAxW9mMiM5JfXWfnDNydJzouu54PG73x8VqeXNzs1gs'
b'9rvjbrc7Ho+LxaLruru7O0/EP55OBnMAuL253+1fRGS/3+ecHfs/Ho/Hw/l0HFRgtVrd39/v'
b'drvz+Xw+n4cBl8vl7e3ifBq3u+fj4TyO43y2fPv27TjIbv+y3x3Hcdysb1+/fi3Ztvvdbrfr'
b'R5nP55vNLd/x4XDYb3fPz8+L+Wq+mK1XN2M+73fHl5eXLs1m8+67798h4pcvX/b744mHvu/v'
b'Xt2r6ul02u12Rz4vl8vlerWE1el08iqCxWIxX6xSH4RvStRRl3pK0OWcD4cjIi6Xy35e6gck'
b'm2hKaT6f+xyeTqeuYy9gqJUSjozf3t76p9xgLpC0+AdBLaxcGUE1pWQl2nYhBjAhiFf680IS'
b'ilNf//ttW6R98/QVkw5pr+SbMpcIRa3dHnXKx203ZK2ccRREVT2XBwtnn5diBGSeUuo5Gclo'
b'p2Ech0FLr0oiZYJxVLcJ+r7nhJ5KMe3AsE46LEVdCAxGZtJ1XZr1q9WqWjztyBEj5QNr00FE'
b'94+ZCRFMgnjiYhnwgkdSBXIWkfrApSq8GDcUzB5AOnkXAvD09HQ8Hd59/13XdQDKSFnqKStR'
b'n3qppq3QjNb5h0s9CAAKaGqg3qVyMmI6pj518Sn1KKkXRPjh7RJlZgY05UC36ukfaJ/mSWLI'
b'sRAGXlkE3MSqCsgH12ouknms3KjNkTQzh4Hra/GiWWp0MQCYQ2Ql7lrXJSIANYeyJNJ8PZAq'
b'zFA5dhotH6NAACxVxsoAzjMIZg4jfuMqd6ilbAgAFDwk7jY4UyHV4VjwYfNXN5tyAMIJiRFd'
b'I3YQcQNoPX7kyNnxhBlExGygSjpDA1WyLFbgXgZkYiAVYoFJGqF097WyFtDOZzlond3BCjrr'
b'QZ56E0R0VhUiJiDnmd7vjzlntJv5og+WRMiI6LNUPQczI2APE4vYechmlrhnAiZAmCYNkcoM'
b'T/qOkWddn1NkGdaydX8oAg3GGau8YYoIiSib7ff7aLtb4dtwNjBKWjEcWSgZO0ReEi3e8bfd'
b'19DoE0Rz+BzNRE00DzgCOaluwJalir8UI3mIKQt3NOt66ft6zLhdoGhqRgUlquiye2LROQRp'
b'yILsJnJ9p6fnT11RpzEhIJFkVdMs1dBEA3IFYmYAZIbux5hXsCEjKfnmRnBU3rzWgklLRa+a'
b'FSCryNEEu7T0f1LxEG/mCOTOvENUYGaimrP2fVc/JX5+qCCiRuFj+SKA4oaDll1cG6wgohoS'
b'kjdVtQKGMzMimJGaqZkAElJqSvT8BsEH7BwJlBBRGwebPNBaWhZiwP8IoIbUOA9mhaHc8Q0H'
b'sUou/WQZ+/xjcZ98RZznhgJYQQBQACxMUxgkqGxggtnMRIxMExKxA4e+6wOdNGREBkAxEfOO'
b'YAaAgOotYK+0HyI6d1/DH4BiphDtJtr3W2O4XP2p7tPpTClHT30DlHRZNfHkMiPMJZCJMQYD'
b'AO+36jIIABbtQy7PxEvlX+YerdnC5fUmrxrbxyu3q69cnjztGOtfVbOzK5W/BvxPSBczAoDA'
b'RlPGFxTOGayqCdy1v/5SXwoiiqJiRGbe7XZAeH/3+u721Q/vu4eHh0+PX4Ys8+Xqdr1eLBZP'
b'T08fP3583u6Wy3k/n/3Hf/rn4/H4+Pi43W5F4fb29rt3d30//+2337bb7eH0eHNz8+rN25TS'
b'brd7fHz88vwym3U3N3f/4c3rYciPj5+2+8PhdFyvb757996+w6enx6eXrXwZ1+ubm5u716/f'
b'Hk6np6en5+2D5xG9+W5lJo+PT8enl76fr1aLze2dmQxDPhx2x9Mwn8/Xm1tmPp/P+/3+y9PL'
b'bDbr+vn9q7mqHo/H42mYzWapm93Ol26+H0/7+bxfrW9E5HQ6ORUbeYrRbDEMw/F0VtW+7+eL'
b'hZkN53MW0Wwppdli3s9np9PpNAxDlr7vN7d3ABCvDDmltFyulms+nU6Hw27IOXIlUk8Aqjmr'
b'ABIyiUGcOa0hcZnUCgBt6T8gNbs+KlSLJHzDb2wtugsbLNoTXW/GVE+OateGjYgTNWm9qMnV'
b'qzaKaA2HNWym5SmJCNFLcx18DIi9c3q7UYZhcCfeTQqHJF1pYsGbW5TL/S0i4r4rsWPy6k8t'
b'NdC+XYsiQHNjvWlVbWYGzswT9BttxwUs4b9q/VeMQUvyXTsJ2Phz7oy+fv369evXVY9Vk27a'
b'nJOhQB4ibx2A+taqgPzsVFWCOODrQJolj8QnnPieAr5yAk1PhGhBSmjStcsoJjzMmqsm8wCA'
b'Mw9EJWszFms8pTIh06rxZRXvJPR+m+q5MZFOgFy9IRal3E5p6zdrCSUjChKZMYFWVL7OFeLF'
b'frtyIO3yaloOgbkFUHpH/IMrxKmYBfXn1ccQsVTtfANZbFcfms1cnweRC2eoL1b8VUQ8KSUk'
b'lzpjtdSRZchqZMwc/H2FQY+Zq0pyabFySH/9MP5/KtSEZt6bNmSgxOvc+JsMveVyycyn03A8'
b'HleLZUpJZfRdj4hVH9Zl8lxJEVEzIhpFR9EODMxoqjlBP0FHkYSYwNSy17t7EqqzRlRfqN6f'
b'KLI4rGyPKmZ51OPh7CVfGsnWpqoqYOb2czEkAQCsY5SUPE5IpDXSCo0uruqiPgYiEiTPjjWz'
b'lFJWM8mCyGapEPUQUSIYsjrNjmdpmtk4jp5xFJaqNZ3XRevjESBEt2bzyGEirg8AZSqaZ4sI'
b'mK+jBbQ8dX+nSLsKJ60WtcY9gYMrKI6uC/XCEM3+7ALpv1j0asDVzuVE5LGgGmMhIgYa0ana'
b'REQMKh8vAEAOpNW5K8kH5omg7VZSqLs7dpyqVsMOACiMbJ8fyzkjQNd1GCDIlJwDEJlVZmY0'
b'nQ6eNtYheuWUajBq1JMUACx4SafqjlZFQ6OR6tRVQaq6oj2+A0rHqDn2MSLYhVpG0CwiIGS9'
b'kRECGhpBaTbsRrqYqUIOugPnpqKKWKMaAKnvXjQCI1BQQCfPRQYgBK7Ks5g1DFiJCqwdYNX2'
b'7QEhIkTMxOg+pCpd6vyq0ltDpSUsikqAwP5dbpWInJGQGuq8doe2v9vVgeUH93RKX7zZJd91'
b'f3VdygpeeD7N5+tecHfeaYgDigpsKbaVTRReZgAqMpoZIJDbOc0TmadYq3J5jLdv3x7P43a/'
b'++tf/woAi8ViuVy+ffs25/zw8PDw8OCsLZ67//Ly9PHjx99///3m5ma9Xi+Xy91u9/vvvwPQ'
b'fD5fr9dv3rxxE3y73fZ977cahqE6DPP5fLXaLJfr4/F4OBzO5/NsNpvPl30/Px6P4zg+PT2l'
b'vp/NZvf3966rD4fDrOsWi8W7d+/2+72XGfS9c5j2KaXT6VBzRjabTd/3TihkZj6cvu+dwNQ1'
b'/2q1ccqj7XY7DC9Oy05E+3J5cXPXdfv9frfbbbfb1Wp1e3c3m81Ox+PT09MwDF3Xrdfrvu/N'
b'7OXlxcfrc8VIx+Px+fmZiBaLxf39a5HRSSNzzgTQdR0zqWa1id6tSMs35OrqlW/BmNdX/eA/'
b'fj+WWHf7RYm8XyYiFvBeAEEETWp6AF2GPttvxYYXEhE9qbKgmGBGeTgTkWbRLCDq7U4pMvNy'
b'ltFAOCVANZkerjVP4dLO9mLtrutmqUN0xghHSQJ4BSeJL2OcNhphkPSLerUMWanNL6UNCopo'
b'aMEgqiXFvIwLEdFNcGs0lzaphKdxWKxXdzdOrorDMEjOjUFsVusTCh7gdxCoM3MVcingRjP/'
b'Dng1qIAbvgAGWBLOvCWNSqyFW9Ct0rwyUMov3xbHemCrqkWeRrxxEsTGfvVvbJ8w5AcYAJzo'
b'IFCu+HZEZOBoJaNmRIkoVb3ePBWGcBUUR3WaIW5o4MzMNAext6eeWk2kL6emgQF+wwsPuTEA'
b'iOSiCfVxtxHhYq4a4Aq1PJsEP4PPAyMhic/TpNsv9UBzil9ddUWKtgcADmevzWNRVIEshmhu'
b'vIRcAQMIohIiYVJTMXHmSkSErIYCDFZ6Tbj3ZoWc0fcaFDwydIVozso9Td4ycJDFYMxDxdI8'
b'lbMe8G5ihr1S5tuf3wCMgJhVAUz7fq7nMY+as3YcnU1jIzW+sZgneQQS0SeWEXJWEfPwUlUF'
b'iN4dSg0ByXDaEMh9N6qchmFOBIQqllWyZDD3IghLFw4DUUEA7DoeR+8sc5EI1KyaVjkHUzNl'
b'IjXLWU95HLP2vT1kXb4AACAASURBVKmaSrHhytK6dmURk9EEuXQu86gpEQFahSSg+GMO9jpZ'
b'VUJCVADKWQFAai/C8rMjBK8DtejR7rWG1HsGFLekn+VTVW7JVK1kZCF6wYJScPM4e5UCQIR1'
b'HWeGQEt9BR0U81fBjBsQwakUPaNdJQMYIVAiMDRMCurNSVTRuASrAQ1a78Lz76eHx+KHa6Bx'
b'4fYUVEGrhndT1ukFUTHnrHIGgISdmXH6hsYAALWMhAl7sKyWRcQsD9lq1hYCdQwCJgZiQAyg'
b'BqCIpuhOtYmoFKc0cHx/4unQcc4MRgxwHwzUTEVRw4g3g6DGgMrHVh4BnfRIs2Tn3iOChAQQ'
b'bfIkSCmDYt5bApcraKPq/xXMs+NiV5bpBZrKFv31oskvfJj2dKjTOOlSmkh16tdBUZ5VMs1M'
b'cQJTa/Ke/5RCKV6+11s9tA2/ERHJt3c5GV1LXAPyX11lDNOeKs8P0CBQAB5snK72dfDzpIz0'
b'4vBFBQCno1FUU2VXMhKnedlqE9zmo6lrZGZESH03n8/fvXv3Pv3w4cMHt31Xq9VqtXEj+OHh'
b'YRzHlNJ6vVyv16fTq8+fP5/PIyKm1N/c3Lx+/Xa73e52Ow9Xbjabt2/f7vf7x8dH74PR9/3r'
b't29V9eHh4enp6TyO3Wx2e3Pz/scfnx4fHx8fvdvA7e3t+/fvT6fThw8fjscjmt3c3Lx9/drM'
b'Pn369PLy4llJ9/f3Xdftdrvn5+ftdut+wuvXr0Xk06dPnz49ehnxu3fvAcDfpvqyWCw2m5vF'
b'YrHf7z9//my29bd9//33Oeenp6enp5eu6xaL2atXr2az2cvLy++//46Ii8Vis9mkdH86nT59'
b'evRX1ptbRBSR3f4oL7uu62azxXy2HMdxOI8pAfbc9XPiTkTEdMhjSmm5np3P53EcTVQBo9oU'
b'CdAiLwBag/DCsa9SVCG4Rh4cf58yOBooKiqgrsy2RhoraGjtPVPNwoRLs6MYvm1Y1rSkFlS5'
b'd7QGpt7vBXwqiJSqcsIxn8dxqEwRfkZO1J/u6AOmlDilCkpZAD/Td43jeDwe3QWsG0ldiXsW'
b'bXxQ3QSJHeLBekYgBKnkAw01Tdkn8XGdGIrqDNSF8Z+1+0z7Qfc7N5vNer2GGqxAzHlo1ns6'
b'//x7VTVb7ReIdbB1ziNsEmZcwPC1ZZhjYuUxrEXDLrQMIjZZDfRVEVgrfBfSc6mvK5aml0mu'
b'7QddxOvMYOPRtW+2y2zp+ns9KrBR/VVlWp3E4gBAAzROQmuqEJ3Ap29vHIk4SMWPUmofIMY9'
b'zUA89NXuavZVaQXSPmxjbJVLPXHieh5KmSGWJM666VpTsh5LGO7DJEVYGgi24upHtQICMhAT'
b'JUUxUICJFMsvbPL32kmwy3D85foCc1Cn9V6Q6qxf2Z+HAGp4HQGA0BRgtdwQJsmDiCzm82E4'
b'Xd2zzonHuBzfRkrAMuRMpxMv5kbkqLyPV/z5TUGEiL26G0oy/TgGhbYrOisJG+3X1U6rQMSp'
b'zzkPQ+466ZiJBKAtqquT49FYAWSHo3JJpsfSP7GdxlbJ+C9UQWIx1chsQTNE40p/bLHrXQlg'
b'pW9SjXae0YdhAkoInAbclZ9Jg56oqjR5ntjsBTQDCtZLVVBVQjIyxUlJekmXifsbDvkjlohB'
b'HSlM0GyUWrZ/aiahqfVqNKGZegqWoy4x8wSEUQPm3ChomggIWESogWCa7eZtmAwvz1dElMnE'
b'nESaLmul2ouIsKSd5JwHR9MpNSo0wmgAU3oMMjGwIuSsMp6lbZlcViQhGNJYZ6x4KP4kdeGq'
b't3txiAC0yAGVChwz86+GghNX7RR3AUBASqzZVHQYM6uljoGUkFTM0RI1HYWyeuoplqzAYmQY'
b'OXFe/fbESAgGYub+pLo8XR0oPrb2pfZoaONCcdwQ10p9CK8w5gcQxCZj6EpTWYlcWSm80ZKz'
b'hzbRjteN0O5uIrImMI6BZF1An2UhSn1U05PmymP5hkQVmAj4a8BWrWZ7IpiZmFHx7dXULBOQ'
b'mXctSp7Uy4VCr302RFRRSgwSQMznz5//r//7//n+h/fr9fr169efP3355ZdfiNJms7l7df/+'
b'/fvj8fjbb799/PhhNpttNpvXr1+rwsPDw1/+8hcAuLm5cRN8GIZPnz59+vQppfT69eu3b98C'
b'wNPT05///GdKabPZrFarn3/+eb/f//777x8/flwsFnc3N+/evUPET58+/elPf+r7/ubm5u7u'
b'7tWrV/v9/tOnTx8+fLi9vV2v1+v1WlW/fPny66+/ppQ2m82bN28A4HA4PD4+fvnyZb1e+5Oc'
b'z+fdbvfw8MDMHn9g5v1+//z8fDqd3Ntxk+x8Pj89Pc3nc/cfcs7DcDocDqq6WCy8yYADK2bm'
b'/Ejeu2AYhvl87oEFj1EMw7CcL25vb72/wW638+5Vq9XKQA6Hw263A4Dlcnl3d9dxOp1OLy8v'
b'4yjMgMwUvR68lM2w1LS0zps1Bvo3z19soNu/J2Nlr///XPyf/8v/Uv8jgGNRIil1RFF5VS1m'
b'B3nrk5XtEqqh5OxUNmgEAE6IiJLF/SEDMVBiVIOcMxgk5sTsCGNKzO5guNoDclyTmTvqCCmP'
b'4zCOiJg4ERMgYeqJuzCBHasHCEgR1NTUxOvikSIpSFVRNZSiKkXfz0BKEFHFCsfCZFFhsWPr'
b'IlhD1IMlOmEI8/m8S4yI4+B2v+U8grpidOXVGnmQc5bosRWHSv2a5gwo7gGjn8DDMIjklLjv'
b'Ok7kB/+V9Y4Vgy+ukZMqQjnwrpYSAApfyuTtmHtiakTUp8TMnsxDeJFYRdPkQzWDRDwvFhGR'
b'vOml1S8qRbhUtS5x6hFJCmEWojt1wYzbCjt6gx6kmjSlEbOiCuUE/oWNCwcAUOjVSroLlQ4J'
b'dXGp8NJAycYDCKAGo56BUvVUo/ez1m8oubB+4IaYAZgbWAjm6BxGUqqBxe/m4XNntCfwTvFl'
b'g4VNX2ejPJYCgJM+YwSGhDh6tqtB8IabgqqpmIqX7fj+QAAwBIMsI5XyffCjEarrXb7c0YsS'
b'PwmBN/Mk51gIBQNtZkwRwPnTTYG4Q8RxHBAhRXYKgiOcXnVRDr+cFZHUortWVhlHySKzjgkB'
b'FCSLUziVVYhVIyJPfWYgNRtzziJUmIvMpgZ5Vc8QkGlEQ8xwVDETYmRO5r0F0a1ZlwoQEK2U'
b'lBbYNUQNamjI6rdhNen829TQvEzHvJTGFDKoZ9QxETFS1QConuQUOwKRELUBBchFHRotgaom'
b'jtGaczOoqSgxqwYhMocMIThuDGqmWIpfwDScWQNTTwNxa56ZyVQr1mgQPWuqDqm0ROBWJkWZ'
b'KZa+0q1uqvMvhjHP7lu4aiiQqhPbMCCYePsQLUHNogq4hp4NIpUdkQHJ5UqhWYvqRTMFFOax'
b'3VKDBIhExS8kJGL/JcLWPitmXDlfimaqaBnUxD5iD1/4rqtGvYcjmYDIKexDIWmZPD9rwKCA'
b'uAYABgoNehCSC6BaPwKG0avADAydvMDKM3ugAbxmRA3ipy+3f4H5VKFnxI6Co+hoqEjRrsWr'
b'OCwyUSJ2ajojXM54liB5cj6A5+MaKCW8vblJKUFxjA1CU1UlPE3kpbccmieUQ90VBWJAHgTW'
b'm/u37354eHjYvnzZ714Sd3wJgdXgd2TLAWDUWgRTQivA7QXgZT4RYPQbFQ5mnfXp1c2GKXK1'
b'CSkDLNev3r7/AZAgFqIsl1X9qYSUx/Mf//jfhvOJCEP/ApS0pYLsQCnFMkOzWcf/9B9+TAym'
b'ubiCKIhKs+//8DNScvQAACAOAl8xQvZEaDPVP/73/7ZYLmZ9Z2pgsFwuKgjgQZ+u51S6nRb1'
b'Dn3fz+dzRByGwZF+IprNZn5YuN2MiMGEA6AieRy7lLqU+q6b9b0Ua8pjmM4adz6fHTrxW3nm'
b'qhVGytlsVtt+mdlsNvNmr5547w/gT3U8Hv3mXrbrsNThcDidTkS0XC69lne323n8YT7vF4s5'
b'Inr+0vl89gwff6qnpyfHVm5ublar1TAM2+eX3XZLiLN+dntzS0jPz88vLy9mNp/P717dc+Lj'
b'6fiy3Y5ZZrP5crlaLJaH42m72x+Oe068udms1uvEnHNGMM85wSnVLewuZiZOvlsnPWkUm3N6'
b'ZbJMinAJeoIclhyj0MBfQwbTvvCfqZqYVs4VRK9Li13QYMYTR5A1mEr5a2TKTIHGUPGMaMhE'
b'RJoYs5giGNUuHlhKl6hwFPgRXYSw3irC6ImIUnLej29kmPizqRkaGSoZSdBi+XhEVS0XXmqB'
b'kn9ZBmJl50+IcvMVE/pFhNKQh0BTnJAIVdV52ZjgdDqRgff1gMtlgIL9uNzX/lCIqKXxR/VA'
b'JMwXFh0sixdcuhladcyVMq3PVkUhq9Rs2gvvoroxIJVPCSdHE7EUQjBH+jJ4Ajo2qHMTYWgu'
b'jQTgIL4UMPYgNQJc8JkXpFBLmbKZASoUrI4CvcPmttM1BY6KvYpkYNTePBzDxhBpp6t9hYKf'
b'7qocbdp29Z5f3+Fi8IXPJ2aYIrzhCHd7Z0Q0EwO02PMVSXWm6hrtqE/h/yezHIWYTYSZSiKK'
b'u7s+fVCeWfxEJXRdZAhECcAAyAlM6oKSoZiWG1/MksuDK27f/Z6wC0alwBciamkgpujZNmTO'
b'kzCMY5dSTWltVZWqhkOEhIhSIkIiOWdlIkVVU25asVFJ6wejqPJkb1qsIpYzelMwxCA4LyxJ'
b'0+5wvacgLKx5GIacSILKHCF1ZBYdToI4Hbx3soVJTY7TTdvH16lKtT+khVtuakpAfeoy6jmP'
b'AMDcOciupui9YgwBqqdhXK6UkmcBhdiXCAAR1QOAEBW8Cx0oIoGhqTouCABmpSbfisVgJasf'
b'3PB0h9AQLGdVHe2cBbkU14ppVeOTrigIr5kCARl5e1iKZIhQp2EkAvjHCaLm15ztDdRUuAb0'
b'EFwGvt5cdslTVPcRAKCT/zZy1S4Ehm97EZco4moFbZ/OAk7cdR1yKh1mVLIhKnMCMFMEiioF'
b'J9y0PLkcyEQa9fFmmAiBCAm8bq3VTlRbcXme6qR8pwou+js6pxxV8cChQslzd2KU5uQRZlb4'
b'o4lIjMWyiGVTysCETr8m3qoyXJ/KsBr0P1Iybs39ieIQiqGCqYZviWix0kRo16mtVcX5OrZ/'
b'9T+JiIEyRZ5C9HVAAE/yIdZyhd7IYqyQplI3EdHCRsrMIDCqmE5VRlU2iuCXOa9I3OVUV53v'
b'0Vq35iA8M9bLk+VKutozrtQfTsW7X4nixZXV27S2t6KE6aShnAGw4pgAgMhmQARjzmSQEjPp'
b'd29e/+//23992e8IWQH/8Ic/vP/xp+Vq8/Dw8O///ufffvttuV78+OOP//qv/3o6nf785z//'
b'5S9/Wa02b9++/fHHH2ez2e+///6nP/3p8+fPt7e3b968+ed//mcA+OWXX3799dfZbPb+/fvv'
b'vvtuvV4/Pj7+8v/++8PDw5s3b96+fXt7e+tv+8tf/sLMb968effu3Wqz+fzw8Msvv4zjuF6v'
b'371792//9m/n8/lPf/rT77//3vf927dvf/75567rHh4ePnz48Le//c1DAf/yL/9yOp3+9re/'
b'ffjwoe/7+/v7n3/+mYgeHh5+++03z7948+bNTz/9tN1uf/vtt48fPzpXz08//YSInz59+utf'
b'fxUZ7+5e3dzcbDa3u93Lhw8fPnz4sFgsPHCRc358fPSmB6vV6s2bNymll5eXx8fHx8dHj410'
b'XedRBX360ve9Oz+qejwetbRATilpltPpNJzzYjlL3WzhPctkNG8zCjqqkEFW6JO/UhToJHgK'
b'8E0N1ojNtwyQ1m65PrynS/k//5f/1YEmQPQWDY7E931Xs/pc4FJwhiFaWDGGqiagCqaJOyYm'
b'Q++4QswAhkzdbIGU/FQzVSSmlIpJZ8TQ9dQzEaKJSZbaBx0IqBQDIwKY5jyKSNel1CdEYKZ+'
b'PuPUBSBAjMSq6lQtBAqaJQ8qGQESM5LncY4AYJrVMgIQmGok06sqIona6XjyxmRERJSg1DWB'
b'WWk7H4AfEVqw89rxdMySl6slAZJrPlVVYQDCwFnIwEqmr3sLo+p5yKjQcZe4NDJUEclEGOAm'
b'gpkSAiEFAKM2jgMRzec9M1YUBwvxBzghmxqaMVKgIIhjzlmMOJkBhFUABVOBogOdEo4cTzID'
b'EQGzvuuY3RNTB74BoR7A1ZwttrgbGMrMxBSABEFVmG5ewtQjBoCp72dYvAj3DMGMkBBKXhCA'
b'uRmBxOx2sTogFVUUzN7ltfRYLWClV4bgRB/kpCmVagovEmzqLtL4NBQ31Qu1iJhZgqW38Ycj'
b'89alW81Mmg6O7rmH4xMrOx0zkQGA3jkH/dHdCI5siIY9NWYaMMq7wUwFwUTUQZrECGDjOHgB'
b'vpl6ZpuJeB8Zkeh8AQCKIKpqwKnnLiEgErsxR0Ra/RMwpJDGgKhMRaI+NQrTVTym6dWZ4HA2'
b'oZeRIygaiOTaKdxNUoeFtCm7p+AyVwNFB3ENAJAQu67jlAzNwDzugIiEjACIkzmo0fzBAw7u'
b'riREUpEqtMEead5112eVzDQPIlkxYjsuLAZg2SSrN/EA9wcQvOwWmFjUzuezqvV9j56SYQaI'
b'Qdjh9PoRSHKfOarCEMH7Y/jcYukN7atvCKqiKmKARABk0Z/AAIyZA8OOUtSYc/NvCtDBEIA4'
b'ueepqsEKQ2SAlBgMVL1o26L9eBQ5EiCpSRbxWBnSVOPl2Cg6dUmNJkUtE5tBFgUEYjKDUbIZ'
b'EDM5auoBsUC/nb8ekFjNoibL1RkhIsUYYmjODY8cygGYkGLw6tu8hOUcio1N5z+ZyNVs1QUI'
b'CAYqAeUCeIcMIGIidu/Ie6sbIDKDOYrk0TlzNShqAEZEIiOWLiboNjQYAImBqEU7vIAVkFMC'
b'iKnzCKipZs2qgkQXOx3Jn4eYRU0NIqSAqCo+6gIcRjwxLGUkICjZ/AgWUF85a6CWCpt510wU'
b'BUXOxqPBIACGkcwXBiiWHp6G3p8FpGfoEhKpgWXDrDaKETKYdam7ubkjYgCS6HcbztWEHAHA'
b'RTpojeKCERKUFKZoSez2t2OJabm5e/f9zw8Pn54/f9rttsvFojrD5SkN0NQXONxdYA4Og9jz'
b'JfsfCpQJMX2mKjnOI48zhzXVd3x/s04uJEiAJAbruzff//AHj3gBoIKRn3kBB5iZMdE4nP77'
b'H/8PkbPH1iGknaCwGgBoZK8VVZCYf/rpByZjQI/jAaAAiab3P/3UzRY6AQ7R4dFngBExJRmH'
b'BEY2yHE3HJ7H0+E//ad/+v77908vz4fjgbtuvdnM5vPZbJ6znA4nQt7c3Nzc3PaJ8zju9rvD'
b'YY+c7l+9Wm9uDPB0Ph+Ox9P5vN5s3n33djabHY/77Xa33R+6vr+5vb+5vU3EL88v+91eRW82'
b'N3e3d918rgb7w/FwOs1m89u7u7v7V0gkqtvdHhDXm83d/f18sVCz4+k0jHm+WN7c3i6WK05J'
b'DYYxA9LN7d3m5na+WPiTIHE/m9/c3s4XC39bFu362c3tbdfPUtcjsQEg0Ww+X86Xy9WKKREz'
b'QrzSpS5x13d96rr5fLFarbuuJ+KUuq6f9bPZcrVOXW8AxDxfLBfL1Xyx7GfznMUMmNNmc3N7'
b'e9d1fc5yPJ6Y03q9uX/1arlcnof8+OXL6TwuFovXr99sbjZIfDydDoczpW612lBKIub0mWG5'
b'mEnOXWIXXTN1Mh0PyZYdY4CKCM5V7MceOVdkqbqq6qMxaVx/K5khhgMANawPJUxT8dRJA7k+'
b'wYSInqJZs/GIiIFclzCRIYgqEKR+3s8XxASI6sehAWFiSm4DEVllHXAoUFXB78+UmF2RE5GJ'
b'BiFA37nFRl3i1BF3SExYzxV0ij8yFRms6X3oITY0A1AwAfVSX6nzggXvUdGqdD0RpYzdlRQg'
b'gqoxYfBXOkm25MogXuAwMRMMHLYksDaumJkdj6OIcM2+gDCPXBVOqHY5cbOoKuRxyHlkxr7v'
b'U2oowFo/L343P4eAUM28YVPtrlCQ8gmcICIA80LLgKeAnbOyBhuw2KyTIVVCs9XXxNI9Pua+'
b'pACVCSREtCgABf+diLqut8JYUuHq5gcAQCF29iEQIgY7oYZ5gW6nYLX92xjDZHBb0NdOzOvt'
b'bikDKe5Dmclo4eHMOd9C46b7TLwWdeBTjhxEpKLZmcUBgIIC+oCJeOL0RLr6ulhpVTEBVbNa'
b'WuMSZahmmnPO4D4A1DBTuChQSspUjIg8qI/uagEYTDHAKrQ149wKtDY9YSt9DUphVmaL3Cg1'
b'9+/94K88YE1ML47ruJVZIIkI3HmsLAx0N5QK+xB7KENVRUdVQYgWxV3XMSczK3s57u9HqYUZ'
b'pJ52lcfYg13XE5FqfEpauLHaAuD11GKqYxbVKSM8JC2QOWvkw9w7beL/gGSckAmIgACptJ2y'
b'EgSQwloDE/HLFH+LxLy2LGdKkiGfOzOo+TCiqqZu0Jvjtb6kYgYGihL1BW6lG5YU0FbU0bdf'
b'C3Za5DA4ZILhOl4K69RLG0oCVRwxjjqDqYW5iuheDJiVwonpmy9uW+IP5Vvq01Yd1X4Ki2aA'
b'AGuntcHCqmJWYrZW7xyxA1Pw2jKKXQnuznmzAE/f1gLLuIIDj364VUdMRKJaNbu/v4qXXijy'
b'CSwHQxVtYxfWFOpYM9umMD1z0Wl1v2CJ7obHV8xuMFQABVZAUZAogg3W54r6+0eLLEuH0CWn'
b'CDCL4m2Xa+272e3tDTqc06THFyVczguIsEyVcNecYp4REAuDpR2YqSmSGC1WN9+9+8PDw8PL'
b'l8+77XOXunZmzCKT3jx4conKV3loNHRo6ZjwONl10hLltn2X7m5uEk2iJYDLmzff/fADGGsE'
b'Pq3iOP6NasaYxuH4xz/+n3k8kk3gERIFOwWANxSIaUQwsMT0H3/+cZaYQMm3mLEAZqAffvyZ'
b'+7m3MzUwRAJERTIMKiggYgQC2T09br883KwX97d32+3z//jlf3z4/Xcins/n69X6zds3KXW/'
b'/vrrbrtVtVk/u391f3d787x9+fTpU845db0T/8/nc6/oBYC+75eLxWazUbWXl5dhHBF5uVze'
b'37+add1ut3t5eXHWltvb21dvXg/D8Onx8+FwMKPVan1/d8vMLy8vu91uGIbFYuE0RMfj8ePH'
b'jw5mzefz77//PqX0+fPnL89Pp/O5S93r16/X67UzDnna/Wq1evfuHQA8Pj6+vLycTqeu6+7v'
b'7/1unz9/3m63APDq/n6zuSGi5+eXx8fH4/E0m/XffffdZrPZHw8fP370t93d3d3d3f1P0t6s'
b'R5IkOxc755i5xx6REbkvtS9dNcMZzIxGIC9IUbgPerhXICFdQNJP5BsfCBAEHwaQCF5q9qV7'
b'uqqrq7K2rKzKfc9Y3M3O0cMxM/fI6iEIKNCojsz0CDc3O/vyHUQ8Ozvb29vTHp7V1dVer3d6'
b'evrp06fpdGqt1cu899r37L3vdDorKyvGGE0jlKXrdrtLS8utVmtWlIdHB7NZkZlsuDAaDket'
b'VlsEyrIQEJtlmc3Vx0wU6NlTAoaROa5RYwE1YpyaZ+ZrHL6T2rVDTz9q/te/+W+oMSoREU+E'
b'1mapvlkTSRVXKh+ThtsgAICG6FqSP6g19TbL8kYjyxuk8T/vvPcQmVn9GHVqQhZBIucHGFBj'
b'yKh9j0ilc56FKLM2E7Uns4zIGnUAdOS18ouygbD3Os85Quvodqhi0GgoawQLEBW/DFjYOQe1'
b'dtLYaF2rxYzij4hSK7AeVbPZzKyNkbzgrukoeqkpEonaxns/mxZq/ScHQNG8NfoPsa41Ai/o'
b'nmFZFiKc53pStQh0TdZALVWkwoFFyrIMDkAajQsAdQSb8NFai15MLFprgoKM0nnO2qgMaANQ'
b'VZGps6b/ViI2RaeSeiZjrc2yPNWhUbSiNJ8AycEAjYYZzQNoWYVzjsUjGZtZgya0HcQ4K2lN'
b'cM1uUJWv/puZR4JLyjIZbXG1AgBYRySESvyDBLyO6htQDfzApsHCCf0GqJVuiIZRJ6OGC+pr'
b'YNEJU5TchoSqUS0YRURnbftQsurZ+zDAOwsVF56ZY5aggqUQDsO/tHggzX5KeK003yhS35wQ'
b'JBMS0SowE7QM1M0RgaqxD5PtqNH9ENGlYL6HmpxqPcE2rFl2KKIZLT3VuIY5Cy+2i0hgOhV2'
b'znkistZoJipVY8duEI2KiqZBABGEy7JglizLGtZgbKIVdhDsOlETkxQvxYsohKKw4nBmuQ2B'
b'eJUwgKDTrEBIM3QCCAK1FB+iBOeV1BwLmRCMEiyEtXVTFAyCA6IiEWnmLwL0a4W27nKETJW0'
b'l+iCVxfQnVKYV09be0+8sEovwIBf5L0HIqlEtdI8cDQik5cDEYEegjmoLCy6zwq/lIp6pDYa'
b'rA7MrqX34UKJrBTxW7Wsu7JwEZOpV6e6OsvD/EvmuCk0UGEQseHLtGEHNIYi8UOGQPlMvIio'
b'KIwBbaUfkhSQj6KDMLRYQKoxkkRJ4tnrTFDWNGI0+qVm/av7GUsTo3DS3YuYkRIbwUMnRyjH'
b'qb0w9G1UX67+prI2s4BoxsBrIFoA0ACaZP1zciIBNH2YkVgCFM1FKFVoDtznjXy4MNDTIaK6'
b'+xdPuTqjsGM1ReRDPl8jT8n8FgAUNCym1emvrt06Ojo6Pzm6uDizEVkYAOrLDPVgtfhFuEG8'
b'pKa/ML3Xi0sFwgpaIJBfntlhv0cGY9wRGLDTX1xeXwdQUz45AHPK36CJDsAUpUaZcXnq+kJy'
b'UBEAxCDc3lxv5paAMXKxByyZ1jZuZc22VggJxNCbThAPdacGRQh4Mr7+/e9/l+X5oy8eNVr5'
b'2elJu5U3c3uwv390fOS863R6jx4+bjSbx8fHx8fHs+lMEFfW1m/fuTudFXsfP15fXXnnGnn+'
b'6OGDfq93cnq6t7d3dX2NZJaWV27dvg1ABwcH5+enzpWNPH/w4MHq6urZ2dn+/v54PPbCy8vL'
b'd+7ezbJs/2Dv9OxkNp31er27d+/qZQcHBwoYqtU+RLS/v392dqaYRbdv315eWXbOHRweHB0f'
b'see1tbXbUaXmiQAAIABJREFUt293Op3T09Pj42O9bHNzc21tbVYW+wcHV9dXpStHw9Hm5ma7'
b'3T49PT08Oipc2eq0N29tjZYWp8Xs7Oz09OzUMw+Hw1tbt/NW6/zi4uj4pCjLVruztLyyubU1'
b'nkzOzs8vLq9YZDgarW9sIpmz8/Or6yvP3Ov319bXW+32eDK5vLqaFYXNssHCwnA0YpHLiwv1'
b'FprNZrPdAaTJZFKUJRLZzGR51mg0mcWzlIUrXSmarSXyLEQmothA7HTSXHqg02Rcpmhl1JaR'
b'oQLxYVDBUXarBjF/+7/9HwAq8YUIrbXWZikLFnV2FRHUUK2gOOfUO7HGRvMEAdCDMIjJbNZo'
b'5M1GluXM4pwrytI7RiAB0BgGgLA4752Ge4gsWmOstXlmTW6spSxT805EWxzJWouGAEgIyGSa'
b'1ickUIRPSeGnMGkThE1AlkQWFu+YHYqH0CCn4X8fNwicd4q2UcGhACqwZvwhBSeMxo+ZOWQb'
b'hVutlg3h5OBskJbDgqjNJLWyVCIqy5K5SrmouJE0QaaCwUiim4gMoJTljIjyPDOW4rRaUlVe'
b'rTBYBqjzzwHAMzvn1HWJgilqfBER8T6ihoAwBxWiXfPaAUKhjbUKp6WQbZKbsXk3TiNKsU8I'
b'sKrJkE3bSkRAlGWZtZmP443jDoRLEpVKZeoFk0gzG957ojCIB0MnugEADbbVY/914V5fedIc'
b'STVG5aq7HzZGa12MCRoRqKpWR5y7hXpJyW+s/0kXI/NwnzjfXcOi0fdqvMZcEBmi9Y8MIKje'
b'JoBImAOQZVkCAdR/vVPwTx+wHUMqOUSaI5g9WRPchvr5JkMk0r/irYbpHopwom5GtYHRFr9B'
b'Lco72iBe7/+Z37oqFqgizYsgC6ESGKjBBTE1EFeojpOICIaeJQAA5zwzp4YZSdZZLFcDAEVF'
b'dd4BIilmjmciylKXObPOMUwBFiJS60mTi2oJeA5t4hgbqzDsmygdx0cLrkbIMIpaXGJ0/Gyk'
b'PV9riYn0oESgqDVcOxd9w8msjH8CxtBgyqEVErz37CGErolAfQHNxTIAopewtaFlLUYTpc4d'
b'ofaOU0aoTt7KLxiToSCANWjCOhsmKw1j1jF8W7gslDhi7U/xk2E9gSBrd4+E+t2QaGkP00pu'
b'xDIwMhvWhYbEHQO02q7HukpCQkOWDIkIRRdbjfjY3AwyD+KkwkezzRy2UWcCVN0UN9bMzPUQ'
b'T1yYJAk5lwOBYNBjLQNTHVDtm0M1JyIiCkvw6AAZkDWcXPPeg8KoAa1ahNygJSAtDU3MLoIC'
b'jUa+MBik04kyqvYI8PkrSRuuYorBUQycTmTQWM/UaPdW124dHx9HByAEnup7KLWkZS37JGkP'
b'qSaC6tlgFW4uMJ2uYc4BMBQdAEQv0BksraxvfO4AQE3bfqcDkDBAOVD+nAOACARya2Ot3cyB'
b'HQVViIzkxKysb+StLkcHILqb2jGiCEgAwhbg8uL0X//7v6LF1dVlAFkY9Bb6/f29T5eX51tb'
b'm1nWKIpyb28vbzQUYn86nZSlnxazyWTS7XaHCwsKfaMI+s65wcJQh+OOx+PT09Pr6+tms7W0'
b'tNRo5GdnZ1eXl5eXlzoWaTgcMvPJ6enV1dWsmOV5vri42Gg0xtfXFxcXp6ens9lsOBz2+/0s'
b'y87PzyeTieL2LC0tNZvN2Wx2enp6cXFRulJRFoloNp2q0W+MGY1G7XZbIXcmk0lRFM1WM8EH'
b'XZxfTCYTTQg0m00dQXB2dsbM/X6/2+kAwHQ6PTk7G0+nio6qqP/aOszMjUZDhyGMx+Pr62vV'
b'JoPBoNFo6E1ns5kxptVqNRoNBSPS1jgNCiOiziDL8rzdbudZplOKmaXRaHa7nU6nE7hPC+vZ'
b'aX9kolKoUvFijFGdwuLnDAbm7+KmOrtTXV0IgGUM2DSIaIxVk7oud+a/JdwsjLBBzvM8MhsA'
b'gNfQCyER5Xmz2WwLkmjHKINj7QOzYAEBnWNFSBUyaA0ZayjTHjeyGVmbZRmD+LL0nk2Wp1IN'
b'BBKK1nB9bdr2iZJwPCmWWUtl5YYIhtYmC3pmrTuScI3nMBxE4zSY5IW/uRuMxqAIFEVxenra'
b'7feS7JNkqIUfSVvv8LNY1NyYBfYcwT0VZ1r7mVOUK1h8sec9y7IYeJoL4WNy/hAZ5ww4RFTT'
b'OpTZ6L7FYCrU2ohVZwUJ6JwxmUiIuMUgKyTdH1RRtGwQEdGo05ZUVNhwJUAWRAydwcGU143y'
b'OtlkrlRGBKtTEAJAFtbW2JCZwSTldThthgYphNUVkieM3I1IJ5EJaioi/ji3k3plME1ufirI'
b'W0ZJYVZtS8WqFVsQRLScvSr+FtHwbzT0Ar6voj7WfBLRVo6a3VOzcJJfESNTellAkNRTg9jE'
b'bwAZiIiK0nNZBkDeYMKSMCghqV0Cob9Ne1h0ikW1UaojVdagITQk7L2wRfDea24wQPICVv0k'
b'umPa32xABaL3nihXavTeB14Qcc7VaD6ELA0wo1R+cqisB4hlGklKxh2KbZaGtGtW52eFwl8t'
b'cWeMBBIGAnhtGUZjjHGOi6IoDOV5ruaQfrHOEtaQriICGYNCUDpGBGupKJzqgzAFQgOzEKLF'
b'gXlEQGGYgtkB4oGd9yFLFPdfkJkL77TIDSB13TAReK1H90JCBoyxJN6HIgKQaKzEEH+I2Yuw'
b'uJKdQMm+CRYACEShLkUvq1iCQUB3CRGNMaVnBoWCAKWL1POSaD6eGgEAgzbTiyUhJEXFAaha'
b'LqAWoBaRMOhQHbngqkXGtMEMjd8vOI85YUDhIyrDrs6wkXHUEFQJ6RFR36Mh9l6npuiTigYy'
b'BAAJ0CCRIu4gIwCLMZRZMCTiHQOXHrQGMVKJeksqrzwAog5rJURwACLiXUjg6LaxBx+zNJzS'
b'aLHvU2UrITJo2kr0u5AQfCV/QjlX4BcREF8PbYTJfMDMCQxXBXc4CAAiYAi/EcYain0QUyyS'
b'vDgAIAHNxRIJsFftivPAHnXtkERHOPlaDkf/J9HUdqLNZjWXD0NplgawIKDo+rriS1qDa9V6'
b'daGd3AOISNafOwBUIWQYRAZQiPObTb31V1p2eoWN1ZDc/Adv0KTUWCDt6+e3SMMNRJKyQAxZ'
b'4rlbK9iExhcg+tJEdHF1WXp3cXkJhg4PD4vZ5PHjx+zK8XR2cHK0u/cib7Rv3XnQbNh+v9/v'
b'3zu/vHr+4tvzy8uF/qDZbC1vbt6/f3/n3fvd3d3xeDwajfoLw7t3715dT968eXN9fU0mGwx6'
b'o9Go1Wrt7u7uvH2nPb7dbrfX6926dWvn4+7+/n45Kwa9/nBxtLW1dXU53tnZub6+RrKDhVG/'
b'39eo/4cPHzyzAC0MF2/dvjuZTD58+HB2doaInU5nc3PTGHNwcPD+/XsNP/V63a2tzdlstrOz'
b'c3x6Yr1d6Cz0+/17d+4cHh7u7n5Uemi321tbW8653d3dBPgzWFravHXr+vr6w4cPs1lRejcY'
b'DDZvbTHz/v7+6enp5fXV4uJip9PpdbonJyeapmi1Wv1+f21ttSzLg4ODs7OzyWSi+KS9Xu/8'
b'/Hxvb+/8/LzT6SwsLPT7/aIoDg4OLi4u83zW7/fvP3xERAcH+wdHR0TU6/W63f7m5i1mPjg4'
b'ODk5EpZGlmlYTePCGqoWgbL0qlvgTxNkjRApEWckPIyBF7TKQhpzjUDFFT6MmlY18iLVsM47'
b'ZsYK1DiyGVk0moxGm2d5szUrC0EUIK85ZUBjjSXLzosUqhsQEXXujSGT5Sazav2TNVyW+vxZ'
b'RtZaQqNpclWlCTcdIGCsI1a2oBCmpsDgPIko8hmE6v9KRkBVVlupsZrsqKRMxaNkAYCITk5O'
b'Dw8Pu/1eYm9lORTgeXMf47RLCVM2MUa6qf5Z+EzcxPfeeynLAgCMCRVg6pmkB/xMGc+t2RiD'
b'aIjIcZmWhLWqxyiKEA0IUF28SnIACOsPkqQq1LZOjScivaOIiFaWxOkWagQHSyK9OOQoYlyk'
b'KtIIwTOiADY7l0WuBXLmDggUNqIWL5RqdkEyET7f9s/PWrX5jYv/I68wCzMOv6zbJbUFzEUu'
b'09FrLkXm71gnjLj52kio34bJQGd2jMS+5DLktQjSFJH4QSKJUQMTh78yK1sR81yA4caGqJ0U'
b'YE8C+yODUKzq/vwjULU3gN7L+wqLQ6RC65eaTq2TaDR/hRmMENQ8QwlWaTpTXSQhoToA6mbE'
b'HdYdEgCQOCFb4/FFHH+rj+acM8aQgSQlJMZiw8L0oXTqG5G16L0vnEeMzTVQGTwiCrGYfH6t'
b'2Ag47gLsvTdVv3t4ioqcahSb6IcTZNmfhn7m1GMSvlgnt3BGBtEDkvpTBFWs9MbBISIai95V'
b'BY01gqzTJ0DNQImKxzFaATKJnDDa4t9BKhStfxHR4TVE9V2rXhhj8/UF3Ijy1t/UaTl9P9T8'
b'xrpAq79ivklfKrgoywyzYXbMMnOl977ZyBSFosrV6OMgIqKWVioNuzKQ1g3+4loU/8aTan47'
b'sU+NkatHpjiZJ3IopYuVYpV6byaXa3chJJGIoaxRNSSJinFe+mmeAJKdr7G3eC4kJAgGQ0fZ'
b'v/cK66/J5CTNaldVGRv27ME7x0lD1U+qrtbTFtUpBGv6CyBWGqZy/OpVXf8flPiIKMHo//cu'
b'+/yI/9S539giqbkLun7nnKlfJwQh2Q6ggKeCZKygm4xns2lBBM7x6ekpofiinI6vHj9+snB0'
b'DAClk147+/DuJQPZvNHu9DY2Nsbj8cHBweHefrPV6Ha7/W5vY2vz6Ojom2++YcA8zxeGi8vL'
b'y71e7/Dw8He/+x0itlqtxcXFjY0NheJR4P9erzdcWtzY2Dg/P9/e3p48+7rVai2OlpeWlrrd'
b'7uHh4S9+8Ytw2XC4srIyHo/39va2t7fzPB8MBsPhcGNj4/jk8MsvvyzLcjgcDofDzc3NYjrb'
b'29t7+fLbLMt0tsD9+/dPT0+//vprRMxtNhqNhsMhIh4fHysSUafTWVxc3NzcvL6+fv/+/WQy'
b'brVag8Gg3++Ttaenp8+ePQOAbrc7GAxWV1eZ+cOHD1dXV61GU1eSZdnp6ek333zD7Hu93sLC'
b'wubmpo5H2NnZUVzRhYWFpaWl09PTt2/fAkCn02m32ysrK865i4uLvb0wbGF1dVW7IA4ODvY+'
b'fux0Ov1+//btu0VRXF5eXl9fx3KP3BjL7BCx0WiU5SwRQOJ9/MzVhMocrWyqRKICHBwAREiN'
b'obHLeI4PATRoriHh0rEnCmNoggOqJrIgobGZbTRaZDMv7Bk8AwuZLMukZYkyBF8WpS+898hi'
b'jCW0GJP6ZA1qOzSRal/HgGTRGEEdbaqpZSC1/lEVSUJrCTuSDBSk0DUfuEu8Vqey8+xL3VBE'
b'5FADXbcLGUBCvXLNf4pKV4AYwChoFCI28walIZTaYCqSFhMsjNiuwcxl6UXEEhkyEBv90t1r'
b'7n6F+6o/qtrQInvRbqgUowWRENCEYBuxUS0slflVq7yPIjcplRj8CHFJH40hCiUNLCIJrvSG'
b'fo3xbAGAoiiLosjz3FqkaAERkdOZDJ+ZvAbQAGqRUh1IEWqiGWvmFNaCPQbQIoEJpTKGKElr'
b'g8gaKGER1tLjKN85epJxz+cfp8L/EfCxG1Vi7DaxBsTcRc1QDvCUVcqorl2qzY/3DS04WF2s'
b'LToawPXsEIWomRg4fWFacLI29C7WEpcuTb/13hflDAUQ2FoiyjU/IOzSBxFCes05532mtVcA'
b'aZODQ8LxlXZDa/en06mORgDxqqESzSftq3yU9irY+kii0JepAxjAGKP0HwBpgAlFrQy9XUrH'
b'EVogjoFDCM0UYaO04EQz6EIWmXk6ncaGY2bWmhqGAImJDGKMySTkLHWwk3NCRFaH73BVkqPe'
b'JSUTVPsiNNhm0AiKeG1XgdQtoFYYpKi27iRhKofTuCYgAhpABGT2HL9fSz/VUqgTrT6794LI'
b'hpLBB/U9JwEE5Mg41tpm3YgE0YCvSDVdUn+f7oIRj0F9yCSsGFCQFItarzXB40YJRRsGQLw4'
b'EaGIckkxRYAh1h9FgYDid1kipwIMBAKqGTlmgjA9SWflpkJ7rV5Lv0kFRIjIUXhChF2Umj0n'
b'NQMaPzMfA8MqMhEFSzDRcCJIZSinGd0wlY8QKhmu/oMHjm6sUdBGDkVXwVmqHQgChAC8RCMV'
b'AQFITyLpfQGhtB4J4V4JfqUmtjR2E55Ka3TDw4YImkT2wbQSEFA4qhRqYQTkKhyWtGTKjyCi'
b'MGlYx2krA3FUHCLARMS+7iHMObS14wiCPp1AknsAAZDvcxmoObG0sPrxQRK286H36mtrchVD'
b'iVEl92o8Aje+c+69fMfv463nPnhjbenF3/lb/VNESBOpSiv1PKucZ3Q/0gNhbT0i2G63LRkU'
b'Ot4/Pjm+GI4GZxfjw+PTR4jCxcO7m2Ds18++vbgce6SF0dKdO7earfbD+/em0wfffvvt+fm5'
b'tbbZao9Go8ePvtj5uPvx40dEHPS7nXZza3P98aMHr1+/1ssWFxcXFhbuPXzw+Hr88uXL2WzW'
b'bDb7/f7i4mKe54eHh7u7u8654UK/027evrX5xeOHb9++PT09NcZ0O63l5eVmszmdTt+8eTOZ'
b'THq9XqfTXlxcvHvn1tHR0dHRYVEU3XZ7aXGx0Wjcv3/v48ePWjLU7Xbbrfbayuqtza39/X3t'
b'P15YGAwGg1u3to6Pj09OTgCg02kPBv21tdX19bWjo6Pr6+tGo9Hv94fD0dbG5snJydnZmXOu'
b'1WgOev1Go7E0Wjw6OhqPx1rVs7CwoBPQrq+viqJARMUkXVpa0ikBKhna7Xa3211ZWbm6uirL'
b'0hjT6/WazSYza8UUABCZVqs9HI6ur6+1jbhw3mT5YDhaXF6+PD/XiiYRDyxFgUU5dc7lViNl'
b'BCIiDgBit/5N+keAlLJLRB4b2tnWBZ/+LUbBlWz1uxJticJ+e5BGo6EOADPbjDCgpSEAW2sb'
b'raYxZjorBY1jACCbNfI8z4nEu5l3LE5Egt9hbci8WWOtxYjJ6LwrigJEKGvoYCO12BzHaoGb'
b'TOUhKMgw60rtGJm/DIGBvfNFOZtKxDARtblFa7vnrtcXz2e6EQ0zGzJFUVxfX6+trelYiiiV'
b'axq46t9iktiNlLBuKLC3c65eZRQnK0cbMUqoWJBTG1AgFdvXJVU9elGvxtbbqfkVBUTts6lp'
b'SSimgiSRB3yn9KxJmXRHrbgwxjATAJIR5tr3xMEu6XsS1aYkjG4mVvMybt6xth5Ft6BUH4LA'
b'CmaEiClfwcxQa5jG+defEsppQ2VeeVRP/V36pkY8DDgXjrqxXbXvqfYvfZk+Ti1uPecUBYJk'
b'YkFR4AiJRolnDQiHNJ53GvHuNFuIqF9YuCIB4dnIUIFQyRIJM2jlHIfafUxCQO0kYEDEoigm'
b'kwmR7XRaKFTvLkkOgH6zmtr6kFmW1Q2OJH+SEQYACHOTJfRPEh3y2EBokcK4hxv7n3aStVHH'
b'iU6IDDyBQeoI611CvZS1VrRd3kMFS2qqREdFQhJQfT14z0xAXgTiDASuTcPVmKtIBL6qe3HM'
b'FOcDRPQqQUQOgVVDUYAodirZKmYscy8PwLaRi2Y6OUVGVQZW5GcIsGEVuKksSwSTjDGBJOJE'
b'pKouC08NAIawVsYtIhAqgmpLim88CKQ/MXmuZpukDoHECxKcfEBAIe2twiSjAgUCMjAaQyDa'
b'cR7EaQTNSfUbEB/kBlkEqRhpNP1GJIKczqc+UtglTTLB4GdW5BopFlQ5WmutIhQwSgCOislS'
b'tf2BvLAx2Gw2r6eTtCepQjJ9cyLj5HJz7ZmitITP6SGtSmN/FrEUCcBVn4X+k9SN9BkIAABA'
b'OFQtAlBwXislRRBHBKvmF21GV2YHYE+xxZfZS5pv/V3J7SB8akJSPrewaxZ50mo4X7WfjhXm'
b'P14nsxsX1MJbkr7w5h7V6OH/z+vG3kssBK07WlhzfRLnBi3AKFHQSywvrA1dgdB+IKB1lUYH'
b'dRJ57y3J4uLyw4cPD/f3Pn3aH4+n3W737PzSeymK4vTouNXt3Llzp/3jH377+s3R8dkXjx4c'
b'7H+cjN23+E2n01laXl4cjg6ODt+8efPm/TuNjt++ffvi4mJ3d3d7e7vX62nw/vbt2wcHB8+f'
b'P2fmTqezNByNRiNE3Nvb+93vfkdEGuDf2tqaTqfb29uXl5ca9l5ZWbl///7Jycm333771Vdf'
b'9fv9paWllZUVRHz37t2rV6+MMWpk633fvHnz7NkzDatr4P/g4ODFixfOOR11rCOKP3369Nvf'
b'/hYRFxcX19bW7ty5c319/erVKx3iu7a2tra2trKycnh4+Pz58+l0trq6qhF9EXn9+vWbN2/U'
b'n1ldXV1fXz87O3vz5s0f//hHfYqNjQ1m/vTpkyYNlpeXV1ZWVlZWptPpq1evXr161e129cos'
b'y46Pj1++fMnMmlhYW1ubTCa7u7ufPn0yxuiCrbVnZ2c7Ozve+1artTQabmxsZFm2t7f38cOO'
b'c67TbTWbzel4ohN7OKBdh3hSlH6QiLn+o0hEhghZXDb/y3/9W5tljVDKzzVjqBp/LRLm5pRl'
b'Obkei4hRrBsAQrQUXQQQsqbZ6bS7PTDWMQOSsRkaywx5lrVbbWstCrNzxWwK2mOX5WSstTZv'
b'5AprIyiIwOInk3FRzPI8a7daqBUvVV9sQIWW0NIa0O+9eFc652bWGmutUYEeFK1D9gjsXQki'
b'zL4sZmkeU+mciBAaE3v+AsKG98AsniEACieM7tBieHR0VJTF3bt3s8ywooEk9ROaejX/UMGA'
b'Elnn/KSYGaTMqmHhb8pxCL3FyeQSIGZRYKwss1mW5VlmwtCxAI4B0ZSUEDAi0MBkgK9UsaGR'
b'HW0iFMQA0BlJJBX2gM5VEBFrrbUhVqSoJEnecGxZVsoxxmicuChKDCUiVme+UjyLEFgmSsCX'
b'iJr1sYpTlOcNjQErflBlAmLV2gsBHR8BwIk49po1qqVwNPgZ9JiqDwzjbQEjtrr+SU8tPIUA'
b'IYLU+2mCiiIiwlBzqU+qhFjtfLjaV2WyKCJCAiAemBXAUtijHoQgIQoKh8Bc1YCB8cXe60Fr'
b'w2bS7hB8BTX99Ue1FTyzZ6ct0eS9m03H3hd61s1GQ41FhQaqVi6IiGrvZtYCgHOlfifFpgLv'
b'na4tmcLOsxYQFkXhBfLMgoBnlyp5IA6xT3dJ/ozuvEJbKuhBABXVc4zAB4kftScuZaiINPgq'
b'AIBASEBGW65TPoQA0HOpfQjGGJ1HrohbqWgBIjHF+jIjzJqJci6snJmNDRFBBZ8VEaMAAKH4'
b'GtCgsDiNc+soIq8Q0SZWplFAzalTYVpDYEYSgVlZls4hklHoFYEwtyF01wBSQEoTqM5C99hg'
b'HF0LEbdTiVvh+kFjxBzC46JYyD5MQQ6doCQBhBQj7oouHwHStFpJ+0xaAw7qaDJE9BUUYBBE'
b'4mSSkkGKR0amgh2Kdhci6dwMiQ2XAKBz8URAhI1yYKAGVA4n0mRJbIsBUuHMzKViT0dbCgMw'
b'/1yoQnWcYi8lOZZehoCi62uQEDgGvnUwCyKAJbREKMDOOwGyZI1qMTQ2iOgAaBasWAQRIDCG'
b'MEImBA2BAcDJawP2vI+XZGDQ3tFSDnEAFkBUdPNoMKu2j55MuIuITpWuQUFgdNG179azxJnh'
b'ADGjpx3irizEOxCmkLqRhsXMIKZh0kSiVVsI3pX9XqfTaRMhBrDmKvxfiddKcwV+VHrTn4gI'
b'vIgIGcOs8S8jgl7oajxtdfqbm7cPDvYvTo8vzk8RKBYyhPLR5IDpkc8J6mgVJbMHY4hBowDe'
b's/fexwF5GCH2AaCR22G/RwQmTGoHD9gbrqxsbIAotDkCxly39nNJEBXTyfWzZ196N1OGZo4Q'
b'U2krktbRExcg4NWl0bDfR/CBRICYyIkMRssLo5XSB1dNA20gHIC3ALxnS8YQTMfXb16+ePLF'
b'o8l4enp2ZoydlrOLi/ONzY3t19vtdnthYWFWFEVZPHjwYH9vb/vV64vz08XhcGtro9PpLC4t'
b'3b5zx4ucnl3YLF8Yjvr9wa2tzaWlpdlk7F056Pf6gwUd7NXv9yeTCSJ2Wm31DdbX1/NmoyiK'
b'PM+azWaz2RyNhitLi4bQu7KR561ms5Hnw4XB8tIiiCCIIcqsbbdaqyvLvW4HAawhYSbEQb8/'
b'Gg7brZb+mGcZiCwMBsOFBQRg7421iNjIstFw2Ot2taNWi8bardbiaJRZS8aIyGQyMcbkeT4a'
b'jRqNvCyLsiyLYgYAw+FCs9nMsswVxXQynk0n1lC/12u3mtbQ9dXl1eUle99sNBYGg3arVRbF'
b'xfn51eXlbDod9Pv9Xs8aMxmPT09OZtMpiLQ7nU6nw+zPz89OT08nk0m/2202Gr1u9+ry8vjo'
b'cDadIkin3ep22oR4dXF5dHh4fnZmyCwujgaDAQheXJ4Xs1lRlN67LMvAh8oGxe0gIufKpNti'
b'gkgFjEDQCowIgGwjD2Bw8j+LykCMQGicz5WlNv5iLAjR9LXe2yCq6VaU3ti82W2jseJmRJQ3'
b'm43ccjkFV9iMiBACdDcZJIpq3oMQkvd+MpkodpLOn1LRK+wkCgYR9h4AvA8LFiLry7IsCjBV'
b'nbEEK9x578H76Pp4IsqyTGINQ10KxI9wMN3m5RTHcmvvfVkUk8lkOBxmmYmSlELTHFTdnOlr'
b'VeyGFmoRtCb9qS7lRQSpWnx9AcxMBNZaJGB2N7XDfLogfYQVFklxV1TSzRfh1N8jEkLwGRKS'
b'TyIjqFV4SzSaUwxGhTgR5Xnu08SlNOSqljrXPaSI86N3Udu6LqCTkcrM2iALOjMr7g7GaawA'
b'YCiDGJ5UgS0iQJVev4ELkRRzXSFV2mj+fXrd+PE79rAWKlJNjbXLqsXMHV345rjO2h7VG1vj'
b'NelziAhgQCuuIflWCYLGs8SRdiAiwYHU8LBeybEmDWpYKNXd51u96wtIv7HW5nkuAW5VhKsO'
b'vPTU8f1N2aIeePwrIUpKd6QPRjKYIwzlfW0yEfHh22sTLfRmjUZDZ2iJiLW2LEvnXJ7nN0J5'
b'usD++rlgAAAgAElEQVT0LwR8WEy5u7Is8zxPtUkQi/SUubTzkhGNzl1CUNlSFq4oisyEZikE'
b'EmCpuXlpH9K/6Y4i6BwjBkmQuEw9omDTROMfVZwzs3NeQc/m0IDC+APtA4204bz3wuBrLJOI'
b'D+YoH5lZpa1gNd/gc66BGstgAFO6yUF1qjego8e/4wtvvEQERCENiLQzl8xcR0tafy1wXo8N'
b'/wdfc+St3qk1kaEiJneQ8FWcHmNhlQf0Xhy6PM+tCSZvUjGB17TEEQEAMjJgAznJZ6I4Bf7r'
b'lA9zDAU3fvTexwbf4HkJQghBBRynitLoM34EAIAAAxAgRzUigkYE2fs0CIWZUZjSJEf10SAI'
b'F9BpwVjJvnCXPyE/45d89hvNTkSihdhEhEgUxgAS1M46BgjkxkYFLTa/b1hTlFAjQoplYPWV'
b'JNlV3+3vfJYow2suTY07AroiV7+R2hZ9tgfVK00CxpjYJAGaQ2SqloTBrxAIo/BUZvqDg/07'
b'm+t/9oPvtdqNvf39i7NzETk9Pb+8Gg9nJZLd2dktiuLunft3tjLxfHFxBTz78ve/m5Wu2e42'
b'mu2FpZX1jdWry/Gvf/1rY0yzkfU67fX11W67dbC/9+WXX+bNVrPZHI1Gt2/f9t6/ePb8D3/4'
b'AyKurKwsra48efLk8PDg66+/vrq66na7i8PhvXv3Hjx48ObNm5///Ofe+9FotLa2dv/+fSJ6'
b'9uzZL3/5SwBYWlra2Nj44Q9/eHZ29tVXX7148SLLss3NzVu3bj19+nR7e/v58+fX19f9fv/B'
b'gwcPHz4sy/Ldzs5vf/tbg7i+vr65ufmXf/mXBwcHX3/99bfffttoNG7duvXo0aNuv//+/ftn'
b'z55tb28vLi5ubW19//vfB4Bvvvlme3vbWruysvL48ePhcHh1cfHs2bNvvvlGu5n/7M/+LM/z'
b'3d3d58+ff/z4cX19/e7du2tra7PZ7MWLFzs7O4h49+7dhw8fdrvdi4uLZ8+effz4cTQarW1s'
b'bGxs6Ge//fbboiiaeX7//v1Op1OW5Zs3b3Z2dvI8v3Xr1vLycp7nx4dH79+/16qqbretCYfD'
b'w8O9T7uXl5fdbrfVakzH4wQ65L2IeGMss9cskBqcNwRI4DYUq2WGnKCpa6iFIuLCjHrDzLPZ'
b'rCgKQAYDMcKnZoEgoncOidC5YjpDL0zWZg1rrRfxAmRsluXGIPvgS4BnteYdALNYQmICRFcU'
b'1lo3m16dn5dl2R30jUEB77zj0ANWw0oXMlkmrPjlBOLLcuZc2bRNA3HMZtINLBKx0jUAlmUN'
b'COX4pUqWEM+LjTaqOQGgjnugiNBiyHt/dXVdluXW4obCD1Ma8lhj2yRWmNkDkTFlOZ2WBaEl'
b'tACcapTmdA+QsJZ3EoMoMJH33hBYm2XWUhV4NohG68D0O9IJqhJOpxkMQb0FQ1VEBCqYmYh8'
b'DetIy42YWasFwitCZMdb6Boq0kIRFMiyzBhDcd4EBBkNWjlcF1WJLrkaBCuKZqPiX0KjXjAT'
b'OaYfBIBCk7djZvYgJpab1xPlWsEvGq2vCmkEPIujIJA1kx7sdYm9EElppdOJMSpCDIPf0zMw'
b'B6AYEqU8H2gphkdRdKgLU1UvyiKCQhhODj0jBhT8aoucc2FMRKhnrqrUgsOpqwUABkXFdUpv'
b'8dyNMSisrKdUpsehabzEHkoSzjntfwUAE0YdKG/obggZLL0DAAOkTlSWZc4xM9vM6GHG6MC8'
b'maj4LjIHuegFyQOZoNjSZG7tkq9dKUQYKioYmEvy3mahLluLNyJHKB+pzmNWeMXYfDmbzbIs'
b'iwVImCKkIZLOzOIAxBJRDs6JK8Ez82yGxmRZ5rWJiNmVbIxJDieDCJpQzCPCIBS7mNhaFZih'
b'3ihhWtUMlFBCDQQARNb7clY4Ms6SYjOQMUSMoBBKEsP6YbyhPppxzs2mZZaBtTaFuYOM1uMg'
b'0XNkZmHQYDtwiAqrY2KoYkwCFAAPrBgLAIDgEQABCckbjPxS54PK/U6yqP4SUKxMBGAXYOMB'
b'BIz6R/rt9Q8gI4b6aAYRYc9CJKnrnTkgbZLOP1Y5JjWruSYAE4VAJX8k8pECWYavrZmRYYSX'
b'ik9LKGF+U4rCG0S0GSHZ0guzd06stWINEAqbUMURO5uDPBRNB6EBDFg9Stwg/x7eQG0EmD5O'
b'rVs6uG0m0L+OCYdo+IevNaDKCEDR1FLMCCGwQ9KYIsjIWAIYiZ3N7ByIACKgCXlmxdWoD2EQ'
b'ESSKY+CiLBZMPTp1eqiF4eePXUCzosxGYiNBFQxCoirYX+N6hTGYyzMQkQaxYC7XEVo10mZC'
b'zZGob3K1pLjDUjuF+uKT5AkPnMR4mNJVPW/41PxW8E1mqYPYYjDjMBb9RrdEvBO5yWXV3sYn'
b'8oLMPJlMJsWk51so5Z99/4v9/f23b99++PChLORqXIyn/Gn/uJU33MyV42k7z7ceP3r99u3k'
b'6pwFJ+IfPXqwvnVncXnVe37//v0f/vCHTqf9vSdPRqOFbrsznU7/+Oz5h48fV1fXtra2RqOR'
b'mtovXrwYj8dra2sL/V6r1VpdXtpcX3/79q1zbm1tbXFxUUSePn06Go0ODg6IaDQaEVGn0/np'
b'T396586dk5MTIur1euPxuNPp/Pmf//mn3Y/OuU6ngwLnp2cba+uDXv/8/HxWFkR0dXXV6/Ue'
b'P3y4trJydXGJiMDy9vWbRqv5gx/8QEuPnHOfPn1qnJy02+2f/OhHFxcXzFzOZm9fv87z/Nbm'
b'5tJopPCmr1+96vV6jUbj0aNHWj50eXn5/PnzLMt6vd4Pf/jDsiyvrq5ev3799u3bXq+3tLQ0'
b'HA6994eHh7/5zW/a7Xa73VYPYTKZfPq0+/b1K0VGevrFo0ajcXh4+Ic//A4AWq3WwsLCT3/6'
b'k7L0Hz9+/PDhAyIu9AdbW1vqRXz48GF7+02/3x0MBg8ffdFqNy7Ozt++fXt1PWGGwXCR2c0m'
b'k9lsorrGe0dELOBZkqMOgCA+pQ/Nf/mb/2Yo1oAGcg/qUEEzlJeKotDYYaORaz+yiHBo6FT1'
b'5wGFnZ+VDo1ptjudTtfmLUSDRI28mWVWAHxRTK8vry/PiukYRCFPxXsutSfXldPZrCjKYjqd'
b'TqcA0Go0rTGlc+y9COt4bO9DbD6gfEY28t67siSkRqMREaAFRAt4vGbEw+QEBkDR1LzG45HI'
b'GGPmIFBFYqQcEW6IJwbw3p+dnduMVlZWlB8p4o6HCQMczRVmCF2+gohFUZRlmWcN7ZqsGy4p'
b'ZJUQS/RvGNGjQ2mTqaPOVzgPN+wtADBkIKloIi1IICLhz6A2KyQHxVKVoiwVUT7P83gvoFqa'
b'PIm8KDRVRGr/EYHOlow3UVdB6uHxWsJXt79wJQDoVARj5hD9U64AAzaOjhizxhjPXJYlQhjM'
b'BQCIZK0NEwn0oWogC+Exw3xTulnxWctR1JcZnjdUwBtjTEgo18U0hErl6lNVTS1EZyaU2EGl'
b'Xap7cW2Sg15cFEVyACJpVh5U3EEBBRAWEfYAUpYli9cqk2osFEuccg2ISDe/BghNURTCbK1V'
b'7rYmRNS0YKBaWyyt8t6r8T2bFYjQyLO0n/FNrV+ltn5EBMJi5qezGbAYYyH4DAAVit+cogUA'
b'HzpQ9T+v09oDJVPAEUhqGCDMjoBgsVFRFOPxWETS6GI9tshk6AMWpLbvKu/oYkLdFwCwlkM5'
b'j4gaNZEYUdHHFRHxIgBaQhAZk+JJ3dTzIkLBSdODIUFgFgY0RoejZMaQUV6Iu6cxRr0XoEbE'
b'0Snck/b6x3Yemncp00HEmk8KtT/B/QiIN9V5qfSLs6ISPxpM4O5CYdA3VHcB9X4rlKf0vIgI'
b'oau4WhKlLaqeL/wZAEK5DSY7Vk1/xZ2MGaoU9ailBuqbXA/r3hCVWtaFtWK/JAIQEaACIVCu'
b'STIj3TFkn7Qs0GssI/YV8FwsP906zWyIvmcl7aWWAajzTiyLmvMBbjxpks8x4VDb9whzCbEt'
b'DCInpn0CIIhBC00dWiQUDtOPgzBBREIRi2gILAEiE3AI+SvyMgiC9PvdQa9bC4XfCKvPv49b'
b'mTZJFbYNOEKiB8E6Cg1NUXKj3Vtb2zo6Oro6P704P4W4wUq39UOvGf1VnipqnyCjKL7iqnQs'
b'p2ZOAk2qAZHldnHQJwpQ0YjoAXsLy6sbm3F4gn5FFYDTjAoJTmfjb5595VIJkIiEpt046SWc'
b'WngKBEHhpdFgZTQEcdGWQ0HwYDr94Wh53UcnXKL2UXpGrQQGQJDJ5Oo3v/7FoNcdLAy+ffF8'
b'dWW522m32h3v3PV4muVNQ3Z392Oe5Zubm/t7e9fXF+sbG+1Wy1pTumK0tGiMef/+3evXr05P'
b'Txp5fvvWrczS+/fvnj9/vvth9+LiYm19Y2l5+eLi4uuvv97e3t7d3fXeb25ujkajd+/e/fGr'
b'rz58+HByctJoNB4/ftztdre3t3/zm9/omDDtH8iy7Msvv9ze3j46OirLcm1tbXl5+fr6+quv'
b'vtrZ2ZlMJtba+/fu9fv93d3dly9fHhwcTCaTwWCwubnZ7fV2dnZevnx5fHxMRKurq3du33HO'
b'vXv37v3790VZWms3Nja0+H5nZ0ft/sFgcOfOnVardXJysru7q5bnYDBYW1trNBrHx8d7e3si'
b'otMGlpeXmfnk5OT6+lq9lF6vNxgMvPc69MB73+l0ut3uaDRyzullmh5st9u9XlejQkVRKJl1'
b'Oh39uIbnvPdZlrdarW63m2XZZDzW0hsdpTwcDkX48vLy4uJiMpk2Wo3VtdWlxaVmuzWbTpml'
b'dL7Vbmc2K3xJYDywKz3ZLCK3YQhGCiKQIJj/+rf/p84xTP4oBraRZFOqiczsssw2Gg1VJyKs'
b'T0UIwqzmgXfsgZvtbn9h2Oz0dLQY2SzLmwbJleXk+vL64mwyvkTxhGiNFeHS+1lZlq6cFbPp'
b'bDaZTF1ZWGMajUZmLYB473TxGJgBUIQQkEyYWwjA7GazKbPXTgJIfMcsLDqUl0KggiUO/AQI'
b'nVtEmeqwpE7Ae2CpHImaFFZ1WBTFxcX50tJSu90Osh5FYlRRJCBki3hJ24/EzLNpKQLNZpOI'
b'ICIUJWlYLQAAjdVByIjkPTtXEkJyAADqvb8pzZgiOFpFHYKmIoJxVKWIsJf5i4PEjoKDmLl0'
b'zpWs5kdU1cENSEIWo1KpfgQSEe8cpnRtSKtwMrN0DmrdAciyHABK5xAxOQBEhGiIDBoio2XJ'
b'hGS149cYA8YgkXfinEejGWETjTcjOlxdCIFCXXKl/0A4VXOh6tEwsXU+6gPRrI/yXJz3QFUv'
b'pioUPQ0Stf655jNU+xxNS2CRMKRMbx3HuHII2SQzihHBudKzy7NGtBogIbWE09L4trAOKfPi'
b'vXjvHLMnJGtNHBcI7FNMLj5Z+Deuh6AsC/Fe0QP16aoUcwgOquOk/WsaBdC03kxEWs2Gogkn'
b'K0rFC2LlagLqlC4EJOd4PJkJSNbIvXdFWbLnoiiJTAhyJ9eItRReanQO1hqbZWS1xtiQqeq4'
b'o/pUxiQRMUZ7GxgAIwcFApSQHELxJUdZE4Z5KcUKeM/aeMCCngVYUB1LJKlS+oCxEpcgmINe'
b'AImMNYAoggTaqRKMcjW1dK6JCmUiCxGmgSCQfySzON9CJbAiu7KAiE7bRkIW8cwU30uIsFbV'
b'MokgAcCoGR/4NxiyhgxCMgJBFwNIIESa/KLQyJDmIgOIFigpkyFqfTmggdSghXHiR6A5PZ7g'
b'E6GgBMAfiNECNfhSAXWF5hA2XJlax0gCkgiw6IwGVPoJVmx4EtVnVQNGhAQDADCBoAEgzMXV'
b'pAsaDR4LausThpJ7U7MjBTzGtAkBaYLFOVf6UJVPaJhFAMPqgkZgEU5KLWYFQ+gkDvJVijIQ'
b'RgTEA4k5an0rorhG4T99gtToF/csSbqQwKnc0Gj9B8yscIkO7UFLIScZjWogdQABAcAQGQJN'
b'dYRvVEhZEQ1W93vdfrcLWvsDFIZZzHv1lT8Tlpl4U1H+wMTcGkUQcAAEMrPSN2sOwPnZiTXW'
b'WguEoXq/1kCvk86hllfBqJySA4CxAziZ7N57bQOMsjJ0F+S5XRz0ESUFIBmwt7C8srGh2GBB'
b'NUdMEFXClQPw/CvnZpoBktBZAxJDO0mWSHRkUHg46K0tLYI41L41RiBiMe1Of2lt3fvUjYbB'
b'9A8srcQCROiK2a9++f9mGfV73RcvX9y5ffvs7JQsPXr4GICmRXGwf1AUBSFubm7uffo0mxXL'
b'K4v7+wde/JMnT2aTycsXL05Ojhf6veHCQpbZRm77/UGe5+Px1NgsbzQYQJHvFxYWFAZQ91/j'
b'+oujEcQJoRcXF8aYtbW1paUlRJxMJjpjy1p79+7dpaUljbWfnJxolfXm5ubi4qIO8Do5PTm/'
b'OF9aXrp3/1670zk+Odn9uHtyekJEGxsbd+/fB8T3Ozv7BwfHx0fdXvf2nTt37t49Pz/f2dk5'
b'Pj68uDhfXl764ovH7XZnf3//3c7Oh91dQLx1+/ajx49tlu18+LC3v394dNRoNh8+evTw0aPL'
b'q6u3796939mZzmbD0ejp9763uLS0f3Cw/fr1yekpIN65e/f+gwetdvvjp08fdnens1mz1bp1'
b'+/bde/fY+3fv3inCz8Jo8cHDR+sbm7OifPvu/WQ6yxvN4Wjx4eOHrU778vrq4Oiw9GWr3Vpd'
b'X11dX81sdnF5OZ3NALHb6/QH/f5gQIaux9eT6UTFS7PZarU7rWabLHW6HQEYDIbj6WQ8nprM'
b'eg9krcJWCxjRNCsiIgkY8zf/+/8Vx2lJ7EGUZKhR7P8ryxJAtK4jMY+1WokCkmx0wKzR6PQG'
b'nV4/azSRrGoAaywhFMXs6uLs6vzUlzNLaBEIDeuo7VA+gcJSzkphn+d5I8sNmdibBcHsSGYn'
b'gLDXHkpE0Opea22z0TLWUCy7BBEAD+xJp3iGOSpByUuER9M4ItSa6jBATFQOQE1qICCNx2Pv'
b'/erqKmK0/iVEAaN9xclg0lpnIlOW5XQ6M8YEV4p9PSZREz2hCTLJr9lspt082iqdih2D9LlZ'
b'DStJjKQQSBCs4QbR+qx9CUAo+UYkLUEWEWutsUGDxsjxnH1ck+P6v6D/YhiGo8UpEsJ+SIYq'
b'N0KjicaKiPNe6YpiU2bA3gt97tozECYf63uA4EPZLLPWho5mjCAj0SGJmQRKrosC4NbjPfW6'
b'3jlVgfXT1+JvDDU5894CCnwG5pYssLl2jhSr5uQ3hTVUbYjqVYbG3CyvNFN0+QKNgXa2eGHP'
b'4kJniOeydIiQZZnRQn9BATaAUBuJl05fYi1pWZa+dBErM4TcwpZyumt6YJCY7WFmAG40cvXf'
b'0j5HMVIRAVYvup7OxuMJIrRaLU1rGaoaY2pbEVao908OJ5HJslzTXNHTUMIyCm6j3xeUYi0v'
b'pMAGGKrhuSzLsnDee6P9sxRsPYxTtAHAOUeEWZbptxEiYwCjrI5PpWZ0P7Q0q3TeC5Mhozih'
b'kqLcuoVha9Qe1foKYREQjmWZwWYO3QZzeSSKIFMhv0dUlGXpSkIMYDTxpGo0XLnukbXUWtNd'
b'Am0Wxpj2DFFqVryB9LFQCsgV3mhFyYjJhI9WdQQgrhNQuDhyStiG+fq3GNesMxqyesuAiseD'
b'c5kckNjZVTsUFV/zaO7JqKvWUJ2IsgAZ5R2g0KdGJuRR03cE+RCfpUJLK3VaDqLNstBZkeZv'
b'JWlf4/1kXIqELHd86rmKlEo01b+pXhoU5FiVc5D66ceMa7UNABDFVkzKUAz4BLSlEHRB0AHb'
b'6h0ggSU0hJaiA4ASoHGRAIVA+v1er9dJFj8rQF+Nr+uvdOLxjWgDrnZiS5w0LBpAITMrfKvT'
b'X1vbOjk5uTo/PT8/NWSMMQKixavpLvVecJhjhGAcVyKplhVXB8D50D+gn2dmAWk0smGvq1ur'
b'92DA7nB5dX3OAYB44KkWoMoA+JmOP1IHgKPJXp1LpRQE2C/0Oxsry8JlyAAwCqIHbLZ7y+tb'
b'XnMCIjprTx/aBE+bAMCQ8eX0qy9/W05nJrP7n/aWllc+7X+y1o5Gi0eH+/fu3WHnJuOJ967X'
b'6715+8ZYu7S0vL390thsNBz2+912uzkY9C6vzl9vb3/a/SAiSLi2tv74yVNjs29fvtrb+6TF'
b'Oevr6w8ePBiPx69fv55MJnmeLy8vr62ubm1tnZ+ff/r0iZkXFhZ6vd7W1tbi4uL19fXJyYlG'
b'04fD4erq6uLi4vn5OTPneZ5l2crKyuLiYqvV0tG8/X5/NBoNBoPBYNBqtdQkaDQarU5HR/m2'
b'220RscZo7xYiDofDRqNRloVus3PO2mxpaSlvNABA+04VNnQwGOjHx+OxBvtTQkDXeXh4eHV1'
b'tbKysra2hohHR0datOO9V0wh59z79+8/ffq0v79vjXnw4EG32x2Px6+2t1++fHl6ejoYDB4/'
b'fjwYDD58+PDq1atvXjwXkTt37ty/fz/Lsj/+8Y/Pnj07PDxcWV558ODBvXv3iqL41a9++f79'
b'+yzLNm/f+t6Tp3cf3N959/7Xv/vtxcXFcGnx3r17T59+b+vWbWb/q1//qtXu/OjHP/rRj37c'
b'6fTZy2BhsT8Y9vsL/f7CoLfQGwz7vWFvMLDRqlDzeo4Vk3bUToKAzS8OUQfmYOgl9MzCYdIQ'
b'WS02cs5RWYJBtBSK3UVHiornUkPALKyl3nmeCwDlBIiTaekcI86l6kjx47XQmQVJ3ZlYhI0o'
b'zosrDYi1igmhkogTiKGqLyTwzkdBxyCKSUDW5kFMMDAHxZC0rGiYaV53FkUxm80Gg0HoQUzm'
b'VAg7Rnas5I5RWaNxCGstokkdAilBnHZep4xF6HBiz6WXzJCGVyud8Vm7pMqcyvoNl8WrJaJE'
b'V5O/okwMP+qThOoLDaXfENPppum+ddktwp6rMcPMUjPXKBkeUTZWyYTUXqkBA+cKa3PAMP4G'
b'Qp1+FcoTQYVQREMWsyzLrLUCiGjUIiZWY8xEPVvZ68H+rWXYK7Ua36R/0zVxJysEQLj5SoBF'
b'Eivmq4/TZ04Ih+QISTCnODlXNeVE1lpARiIEw8xJ2YseksYUQek52PREVJal95TnuUUisoJA'
b'aBGd0huLw5rBlB7UWuuw4NT4IaSTKjSCdYMGtHDFM6hD61zBzCJeO2fqFFgdet36EWk0Go1m'
b'qQX8xmQIBuJgu0QzyRoAgFTMg4jMSa0CmQTPJQIJA1YvcwBAZPXE8jx3zsX+pbAk731ROhSw'
b'LS3MIym9j3NhAULcu/SccYAcFWNRoSoBILgBFfYRhlbC4Kk6VzrnKA92o4jOoK1yRIgoOoAF'
b'hVk0cUEgVPXsCmoUPka2CUPaIY4E0T8xamutOMeaJYMQSReFJwhgLaARkDgp3ABykJbCDBRb'
b'bm7wBTMTCIfZBQSKDingpJoMEBkNVFwDMoIBEUZl8Mr9SPIKALTjAAUAqN5zpZXzGoHQzzNG'
b'iiXwIgRktNACPVCw8evGX12uJhpWvgEAikVZGMurkizVM0UDAqUXRh+r2Cng8MSGaQQh9kCE'
b'aHR6DGVZxgjOudmsFEFrNfsa/qnJCw+AN6rBqwV/5rOpFJSIHoOxqh5rH2RI6WBMgf66KNNT'
b'A9ERxQgYJmLeWFscDs0oNURlNi6qCvUNUrlVXLPyCxEgxU6zeR0RdjutGWO5Y9qUkJSDiuoQ'
b'dVwKpXR6rBK8ESYQ770a06Fgj5mib5xONr1P90w7XCPgyhe9cTT1H/VZbri1Nz8Wfl+7QHds'
b'Tr+onv2TwwB8vT+v/nsuPyMSuPFoEu2ojbXNs5PD9+8+FqVcXc+urmfdDl9enR/uf7pza/OH'
b'33/U6zb3Dg6Pz45L4EL85fi68Dy+vADvLs6v2BdPHj08ODp849+bRhPF77x7++79h0aru7i0'
b'8uOf/PTy4mxv79OXX35pre31+mtra3/1V391dHSkmJiNzOoErjt37nz48OFXv/pV4Xyz2bx1'
b'69bW1ta9Bw9fvHjxL//635m50+ncuXPni6ffy/P8F7/4xR+fPUfEpaWl73//e//jn//5dDr9'
b't3/7t5//8pfNZvPhw4dPnjy59+DB7u7uz3/+88N/+7fV1dWHjx89fvJFq9V6//bdz372s+l0'
b'+vDhw+9///s/+slPbEa///3v/+Vf/qXX6/3gBz949OjRk+99DwD++Z//+Ze//OXqxspPf/rT'
b'ew/vdrvd6+vrf/iHfzg6Onr69Omjxw90YNn29vbf//3fDwaDn/zkJ/fv3+90+9ba3/zmNz/7'
b'2c++ePT4xz/+8cLCQrvd9t7/4z/+45s3b/76r//68ePHOqTs9PT07/7u70aj0V/8xV+srq6q'
b'Lbe5uflP//RP/+k//c9Pnz5VX6XZbBLa/f39//yf//PyyqIS5P1H90/OT548efL06dNWp11O'
b'nc2zTrvX6HT/p7/8q5W11dxm09mYiEbLS9fXkx//9H/YXFs3xnzxZPr//N//cnl5DQARdV4Y'
b'vAJaWgjTNLVjJ3XZBh7T2L9zLsuMIvEH0AYSAvbei2dAUUPWkhUE730xHRfTlgCB9XkDTW4E'
b'vHeFOAfiwYdmT4NI1mRZJmQEQIwI0HTmdF+yLEOjqP8szglopJhSqk4QTYxveV967621Fq3y'
b'lS+LgGDDLK4UdsChew+ACSpYBhUHnitXIbBNUAQO5s1cNeW1KWJ1ddX7MoZpFZGaAUCCXqwk'
b'I4XhrJxAJAFC3yjG30vsU0RErcAGCSAtnkvvfW4zmxFAmCEgUeneNF5r0kGFDMfpBEmpKIhh'
b'XTVWkpEFFE1SHJEiNFJsVv6OmE2SiXWlnt7rwxHZEPBmRrQEKFqXE104iEA0adO890h8w/1I'
b'0pkj+CmGIhMyxoSCH0QCo7lmIqs3rSu2+l3q35yiNXNSHqvh0BJcQW8+m0la/0gM1d7cED3c'
b'8EQBcCUY8Vr0EH0GD2IAOY73raAtkDhp2GAkIQt7VRscBw+pIne+AA/ONWwWYLsoKniJV6Z/'
b'k4LMssxZi4hoMhJkVyYMk/SM4Q0hiBCRxsasteojMCCwqBlUuz4oJ4q4QyICDHmet5p5UeMu'
b'SMkAACAASURBVBRcOiGjRm0t/1DpMy1TJAXfjBuiIToiIFPdK+CcKMyo94ria4xhBkTM83w6'
b'nZalFyAlDyKxlp3jMFiYyJJ1XrwPnZIiIl5b5L1zLrdZIkUKuEBVkX3gNQw18SrKUjA4XVbZ'
b'PQAQ4U0DQ7Eo0Gd6Fr1E26BJSLthiXTmLGhvgDZhU5gZmXlfpiCoVDN35/32UL8syFobk5CD'
b'UD24aKUIIhoCAPTeKQQMIgreZJa6KNDNUCIPJ05VfLcSVnVeY4wGUGVEJfkZiF2EALwakYLJ'
b'VRARQB3JDAAQQISj1EVEIiAiM5/zTDucjKdIV9GRNmIFHCM7XwAzs/GGjGvmDYAKWyMyvke0'
b'AKGkykJILs1ms06nZYyxoQjKQADmkfp9lTuMgvl69YQURaeyTQPII1RcYACAFLRnDi8OQkX7'
b'3Fan23GtTTZpKgjFizfR+sOxAQOSodDfYpK4RGYGgwRUob2hyqC5kWsQO9Ix7VvNWq2FtOK5'
b'iACZ1NLD9U+JiGfvqmEXJt1WP2vigLZ0mvWdubGAG+9vyO0obW7i7QjeNNZD4LLm2N/4chTR'
b'6Gc4/HoUTAt+6rsVIh7pTAPHAWp8yQNQGgT2/xH2pk9yHMmdqLtHZFZVd+MgAN43QPCcC+Rw'
b'Zjja1bHSjFYrjdYk7T6T2TPpX9O3t6YP+vA0omY0N4mbAHEfBAEQIG6g0ei7qjIj3P198Iio'
b'rAJGL62NLFTlERnh4bf/XDsiCRFVCVR4CtgdUHXH9q0vP//stWvXhsPhysrKytrGtm3bVpbX'
b'hsOhCDNzM9p8/dVXhi3fX3zIzEtLS8Ph0M/PxRjXh5sbq2vz7/Yg8A++/93Fh8vnL305bOPr'
b'e9565rln33rnHYPR/OLCxX/5l3958cUX33hjz3vvvFP3+977n/60PXfu3Nv7vr1v376t23dU'
b'VfWNb7y7urr6aGXlo48+evvtty0hYvfu1//pn/5px46df/gH/+WFF14wmMQdu3b+n//z/7z/'
b'nX0ffPDB/Px8EaOfHtj/Z3/6J3v27HGAALB7z2vWOve//tEf7tq1yzpNPf/cM/fu33nh+Zc+'
b'/N4HCK6qnYj05wbr6+sfffTRyy+86JwLwt7VH3zwwbMvPPODH/xg+/btIQRmfu6ZZ7/33Q+3'
b'bt36jW98QzOa4t69e3/84x+/8+ZbO57eZU1UXOXffffdbVsXvvGNb9SuFhGzvX74wx/+6Z/9'
b'yTPPPAMMIoIAO7Zv/5u/+dtnn3024Y2rqurLL7/8D//wD08//Yxhd1q+/YcffjgYDKqqYmbv'
b'iZnruv7rv/7rubk5RQghoHMisvPpXX/3d39nVD0cj4gcgPb7/Z/85CdEFFitM6+VoRn2hmQw'
b'eAMp8UAGZx6YgTUnKmZ9yeoPvDeh4kQjQYWkKBo5gDJlJpCEvSZZLO1obbQ5t7DN+8qLNz/s'
b'mJvQjB0BITlQVq0cRdSqrohIFVbX14ZNuzC/dfv27c5nvTYyORK0pPBUeQkZggGBkSUqCBI4'
b'rzRB7lNl5aCqKgwSRQTURLUAoAJHiVGCBdmFQ47QpTcKxpVERcTXlfd+PG6rynNUJFlbXnGI'
b'FaGKgoqJOgC1pCZVjkW8IQCiMKPD0ITRaEToVVViqgIJLBITar6qCmeD3iBvQaMwc6gcek/2'
b'u1EGx0hEIUQRMdh6cxK4ymcziaxFTsFlt95OiMgSEHOnScgKHWJgARNQzCDqHChHi7g6Mji8'
b'vOKAiCg5cG9Yxs45YWibaOai8wjgIXUmJwD1zrFwBpwlyqW0gjJqR4hofZpUFYDatq3r1EyG'
b'bO1Fldg5VIAYW+/6VjppaM0ePSIBeTIjtvg6KdsM6CzVGkBB1Du0Npbpid0w+gT/1T4m8ChA'
b'QBWzNh1ViTEjRgvfp8R4AFPHFUgdSFYpECaYs+bdz94sTRUIdj9RVQlKRMDiQCNHIC8STRPr'
b'hJrAWXy4o9MgIioDSK+qYowSg3inHGNoEBWUCdWbxgCF4BETf0OPBORH43GEZtDrg4mF3AhM'
b'LXeMCNWaOltlHhORQxIvbQQYS69yjpCZzZ3PQdBeHFLpvqqiMiASyJb5wYaySiSsJbKKpJR0'
b'zXqApXcbKhES5dT2uq4BIIRQVabqsWTfM5EziCcFUgACVRZCJERWGAwGIcqoDc7VzjkFGfTn'
b'67q2zW7Jb5CMdtMwyLlKQlDmdhyo7xCdSLSWF5g0GHM+G04mqEgCh/G+T6jKbduGZtyvB5L3'
b'YNIJACHrgwCaSg5EkaSuXGjZMrsJ0eVQGKJDAGEpiT1qZYSJgghUmTWq9HreO88cEBN0kJE+'
b'gDUT8CgsouyQzVHqNQq2UbBytutQLGcDUDSqOCQBZVZFNXUHvSMlLxBCEIklO5E1AoIVT6dy'
b'DPNZ5E4jRTUpXhia9PFAzVUVlOv0E8cgsgiPCjNHh6SqnKHvCdBALz0hgqBq5VCstlsQADxR'
b'ri3PgDAAUCJOlLDgEFGVRcAp1t7V3hlyAzOjIwSKLGQ9AgBQGUAJCdTQJlL3YsuFa5rQNE3T'
b'hF4PXO1QrQ+jt2Jyci6qqKjV4QEACDvECGoWn6WfY3YWdCwr9blhlKS6CZBJ9j0KWAe53FQc'
b'slnceXdjF6SKhCAgIoEVEkRYalph13GKqAgAEqrPNommig1jH0QEufM8ICZgCWb2nR5rxruw'
b'4/Qh61rlnO1rInNXISJK7o6ACIZv4MAhkqAAoHe1o0ok+YOKOWHvKBnGGjGbqp1Ha8oLEss2'
b'nYSIrZDCEQA4AbOiRVIXDtDSF0FVFZyxGwARlUkhgRQvGE2K1B06JSFKuFUIlSinsBaiKiOg'
b'FRaltGPbAWREgEW4awyWQSoiRJ6ZRVGBbASqnOMrSJiQ9BwRsNR13Q43nt2x8M6buwc9t7y2'
b'HmMcjtu4tNIwjBpxGO/curtt687nn96lkW/fu//o0SPybti0w6ZdWVsXlvGwWbz/4Omdu/bu'
b'2Q3etYJ//Cf/bcfOZ5VcG5gc7N77+n//yz/ft2/fQr9SlshKXt/71rvvfvOtd956k1kDCyI4'
b'9B999OGOHbueeeaZtm0FwVVujgY/+eu/fOn5l+YHc6oaOGLl5rcu/P3//fcvPfe8RkYElaiO'
b'Xnn95b9/9e+f2rYFOYIwAHGrH37vg4WtW+qqH7kVNLxA/fM/+9O5LVuZgydq27EiDBYGP/mf'
b'fzU/mOOmbWPrvI/c7nlz99633wCA8XDTAoncjD/68LsqqJHHoXWVZ1VX+R9+/3uhbbltWFSY'
b'vcjWLfM733sXhCM3iH5zuDm/MPfyi88TQTPcrFyNiKFp+4N5EWjaWFdkWrSI1J4Wdu5cWloe'
b'Djeef/F5QVaW+YWBR2qbhohGG83lq1e/+c1vzvfnQ2D0toNYRMnB6try2VPnfvjDH5r6hw5R'
b'1Ln66pWrG+Pxe9/4Vjsegbg2imWqKwJLBBTRGEKbVR81iYu2l4x2QwgGGpjc0jTJG5FSugoM'
b'KOYlteuqqqqcFw7cjDm0lo8TQjMabQ5HG6EZgyiBs567rAKODKhYGELL3vvBfH9+fn5ufn5u'
b'bq7f71f9HlUpsVg6vhnNSk+MUUIEAARnrfISi1QGUWUGywFARcQY2xhj5LZgHFmUwzLCE8hI'
b'PkTEXjCEEKPUVZ+jqmrbxI2NDbNZEXGS+AEQWwM0Ys0ByrL/mXk8HouIlVJgznBIyabGO0hL'
b'vJIAkZQceO+rqvKeEuZAtnE0J2iVQE2Xs+eVEmtoqh3HPHYSUYoMTuNUsnatIsmqsTHkAU+0'
b'TFXNqJ1YtBmZRlrozqSpVqYwQYbKybxaS8OBckPnnOU2lJt3D/uyzEN+YRRMWJyQSqe6zrBE'
b'7fZA1LTc3ZskSyPHYfLTOp4eUas5yAUeWa50j5QjhPa+RcWxB9mbdsxUFZEO4dlKdboZdHxm'
b'qmr9/zgB0cRuLwizPDEhr0NVVZ5AJEoMZafY0Z3t8r6Qo+oi0sYwHrVNaAuFlEtsirhTP1CI'
b'TRWbJjQhioCoFsvHXMsiti2gLIf1SgUAbyhPOVusTClNepAlLJ3u4Av9N00zQ3XdSXsi5Xjv'
b'hTVwUpxZJ5joIhLL/Ngby2SJpRPEU02rYLuvrGxenZYlighq2sJlg5QZ6+4mzamEnflMq2YM'
b'Koow2x9HYcO1iprYi918NG5Dy6pK6E33sgBFmU/s6Nzd5SMEAkVEj2TeI9Zs72Wt3JXEjZwC'
b'X26FOWm+vBd2cioeX4WZGSi3mpyfm0Y/YQUBULSk+qR36aRxl3nuEkN5nMsgM48Ppnuk81UQ'
b'lAAr5+3tDJEuTzjAJHrGbjo503pCe+97vR4AtG1s21bRucow9CZNSChbICX2hYiokyF1MMye'
b'NCH6hF4KOQSNM2tdyGBmCSi3ELEvCwad/VoklAkFQsMsYMpF9kZjknuAIEjKGuq2iIHuKk2l'
b'3HRZ7swqTJZvOlO/tPVwVOV6Hi6/dvmxPsZFtcPtyzll0X8fA5FpkiksSGQq9kK5HLs74ZQg'
b'vEA5sgRzx1I5LIZoObepgAkqT5WnyrlCFcyhQ9iMODvg/MTUxlI7LTvthI3RMMa4sbEGKB98'
b'sO/NN3Zr5AcPHghD04S79x4OR03TBBEYDocvvvj8K6+8smV+Ica4tLS0ORwOx6ON4eby8vLy'
b'8nLbtrfv3nn/u/t6vZ5KBBZCZea5ubmPPvrIIShLCA05iLF98409u3fvjlHGbeMcOofchjfe'
b'eOOpp7aNRptENBxubG5ugoPX97zW67mmGZmXbW1trdfrPfvssyE0zEElosL9+/e991u3bm3b'
b'NvEADhzbnduf4laOHz/ejIPGxJy3bdsWm7Zf9a9cubK0tMyKhL6qqtFolJaVeWlp6czpc5Lz'
b'HkHUtCmJ7J27f/fBb377ieSAkiHue6qufnn185MnFcE5BBQzYr+4dOmTA/tZNQhLzqQNbbuw'
b'sHDr1q1//ud/Pn78eNWrTb8qqsWRgwd+97vfiUhgJu+YQwiBCHp1/+yZc//2bx9fvHhRHQFh'
b'DEmZNBZx9NBnBw8evL/4wBJnQssxRg7x4MFDRz87HkJwzuLVqWAyKcYclaNonMrPQwXlLJ9Y'
b'wriR2PYqV9d1iVATJGUlzR2QCiI4QSrWvIg0TdM0oyQLVZi5aZoQgmY5XVVVVfVMyQMAERkO'
b'h+PxuF/Vc4OeJ1CJwFEkEgGiEoEqq0SVKByEg33m2I6bYQiNR/AEVJL1O+pZl6eYDpJUChYQ'
b'Ne1Z40T77+5t65FpekYRUaurqzHGubk5SRnPqqrmkyrm0GQ3ggMlBMcxkc6gV9WevP0RVo4M'
b'mLzyZLDfGUYlccbKU6/2pZYFoTQd67AzFNFo2PYcW5VIqIQT7VYnNbGYXOM0GeQMty3/LNph'
b't6POEzlp95sZUTTDMaEjj4vBOcPCyj3TLACB4swg8x2y+q4zqVBdeTlZpu4Iy93KcnfPkemj'
b'8w2kByqqIgPypEov6xaazQDs/HXG333Q9DcWgie7eco9J09KKGj/tUu65kRGP5k6MGurSQvs'
b'CGMBZZ28l6qKsiibOYG58d+M3VjGOaMcZDx0BYBiiBZlArJW/fh82ltw7gUWONrrAuXaXI5t'
b'DCLRVjDGtmzsMhgbqnTaLalqsYonCjeKAiswQGpcgCrGo6CbX0sokKcG1HiXdOxDESl8rIxE'
b'VW3qymwkDhOZJapq7au68qjQxlAab6UVVC1/3ZmxE2w8UUzjxygSmANLE2JgCSwxcIwSRaOo'
b'uWzMZ2l3sEzF7q7BaYN/5idEBRRUVg4g8bFfs9KW09W6Wyy3lRBbr6z0OPszkrboBGgCR5zh'
b'J+Wtn/hfAECylJLccAMe4wmEik47CSFgMrYL7p47A7KigNUIJXCjiUAGEJhwGESsqqrf73vv'
b'QTi2SZZByfjKel6en/SlA3QOq8oRAXOwPUVEaPXEzqGCtawhAALxBB7JAU7ZEihGXV0WBpln'
b'apLLKb0XQChllJQOFcgKkrC33MxsF54zORAMf1+FEWa2f34OZNQyi68+7vFRlU4dWhn1NCOd'
b'8NUynkJPZT4ni2vrgsCgtiLQyT7QHGUtck2nC+HgSXKqO4ePkzpMi6Qusc0cZWt0n2tRG1AF'
b'UVRwmGbZI/XrXr/u9eq6V9X9uprr9+b6g4W5uYXB3Nzc3GAwmMtHv9+v67o/6CVzsYMTTUTJ'
b'SjQ/7GNHers8QkUXxG22vN40KxvrVY3bt82/9cYrz+zYRqjrGxtf37uzKbweQ0C9/3CRmbdt'
b'2/bCs8+99vIro9GoaZrIvLSyPAwNEyytLq9tblhbFYlMgNevXv/s8DEEh1Fq58cNV9VAonpw'
b'7aj92cc/v3N3sVfPcxBpQlX1zE2KiC3HX/ziVzdv3K58L8Y2SKhqp8qbG8OPP/73lZVVZk7q'
b'aVRm/eUvfn3l8lcVeIe+bUQVERyBU4aDnx74xS9+efmrr2o3IHCk0IzHFVaj9fFvf/Pp4cOf'
b'164HQUEQRYFURHpV/8j+w7/4j1+fP/cFYQoo1Z5YIzNLkMMHD586dfr27bu9quLQigih39wc'
b'HTxw6MIXX45jNJlY1/WoaQ8dO3rm4vmHq8vgXcyU7nx9b/Hhv/77x+Px+OTJk/cWH6iHANHV'
b'jgBv37x18YsLt2/funDpi6pXBwnoAFEJcPnRowMHDjDzz3/xi+u3bkHllFAFRZHQ37t598yJ'
b'U03THj95shUJwuTdYDB//vwFw1G9cftW3es1bTuhXhGJHEMb20ZC60VSZX2meovTatuaCUJ1'
b'Xfuq0pyz6AxOvCOAGYAQvbEzctyGjRAs55U5lFgBABBR1asFYqrqUiXvWYRFQwgPFheZecvW'
b'eVIw+y9d6MhChJAzQY1fuNwby0BLLPQMWUEBkUlyZ4kI5kChnSNZv9FOZLD8t8MaEozgeDy2'
b'kaytr2zZsqXfr2NsNbvWyggn7LWD/WwmhIjUdW2O7fwuqXuzAqNSQSWym1AejHMOcFIhKtnW'
b'KryGOv3epvWSCe77DAsr2oBOKXmC6K1UruOemGWRhQHpY2o9TueB2lEcLSKcMp1E1YrpjMlz'
b'Wp3OIBMGXCbLzMXyByKCzvnpKrtQ2dBWNHtt0qySYQ1CnsY4MyFayiqgo2hOF4zOfNYOtSBa'
b'vRxY313zWWmKj8k0eUyIrfu5LH33wE6RHGLq5QzFQ4kIk75FaQYozbYYqVtKtK8qVrHEaRFR'
b'sKKXiZ8IEYlS+mzbtsx9QfDeYQolK0BCw8gq3JQz2whSYvJHzjQBRbRIfIplEyoQWjwLU5LG'
b'JI6fKWGKUGOMRI7BrPIJChazxiB1TaApL8XoR0SQUJUt8zqdj0AE3hMAjMfjuq5r70SkJHQj'
b'IhRAXMGCplIWwlzy1vw7D3ViY5c72BgSMJQnIkKCtm28ry2zuUsSk+UDSE/PdCsiKmwMJO8m'
b'm78IyWXFZs/ZxGpHbw4hSGRErKoJHn85RCQDj5cs4QnVlfieInC0LUCKnFOcISf2THI5yiPM'
b'HisMqkxOmaIZfjJD8/n8mX0AiOgADG/OoULu2Jr2rKZBoUHW5ImlTnRLdVKa0iXdLvOfImwB'
b'ARGUqqpq7xBxPB6HEMbjMRJUjox0u+ZuogpQJQUlI+Li5xqPx6hVr9cj52Ns03Z2aInCMlG4'
b'J/9NMVIVoonZNeEA6b9Tme4WKlZCfrxy9PfGYwy+hyJBIU7VxIS766I5HxomkgiBUNVhNqDS'
b'97lHDafKZO0udnfdH5cvXU1b89Law9M5KCXfrJxjhFe2QGEdXUn3+OpPHtwZ0gxZGuuQBHvb'
b'WaYcFpsw8M79NE1FqvZxSI6wcn7Xrl3NeFM0miPfe+9cRd6pYnEMoxKrRfhD24wdTvpF5vRI'
b'tHQAtSSu6Xq8rgfM0siIKAo/Wl1bWVnZGA2Ho9GDB/e/881vLSwszPX762sri4uLvq42xqON'
b'zdFw3ITA/apeXFx89dVXd3mHd26vrKzcvX8vxri2sd6CLi8vb2yOCFEVQxNPnzx9/dbN3W+8'
b'8fRT24iorvttiKjY6w+Of37o9Kmz6+vNX/3kf2wZDESj4VUTaa/XO3r08wvnL5GrX3v9FUR0'
b'hG077tXzZ4+f/Orq9d1v3Ni1a58lGdd1/fmJ019/fQud27tnr/eu35+LMSpL5fv7Dxw+duzz'
b'qj84eODwm6/vsaZJHGOv3z927NDDhysrG6Mb126/8uoLzNE5x1Grqrp65dqVK1djq/v3H96x'
b'bftLLz8vHFiFwFW9+uKZi1evfK3gjh0/+cqLLxERKinC6VPn7t17QPNz176+/t4be5gFlE6e'
b'PH777n1FOHbi8x//6E85ArLW3o+a8f/705/eX1zs14PV1dWDBw/95U/+Ar0bjkfz9dajRz8b'
b'jUbq6Njxz1969ZW6wgjqBet6cPDgr4bDcdXrrW6s//vPf/a3//t/7dr2FDcNIoYQfvvb34UQ'
b'FhYWLl68+P6H331m19PAsrK2duDQwV6/38Rw6dKlV599xZW+vagSA8e2bRuWRkSocPlCN6QA'
b'nDqGGgATgaAosACzCpsPXiWKov2ponNuMBj0+z0RHo2GBskPosWTgYje+7qufdWjypN3rko8'
b'McY4Go1Go5FtubYZj0fDGFqWGGLLbSh/JdSet6RIDADqnKNOaFtE2MCWM1tUk+WSEjyMa5hi'
b'hKKuawFNa8kp8RsRAMy7tr6xKiK7du0ynVstK19ijK2IpWSwKktGwgEgEZCo7TgAQF3XZoAg'
b'KnMQjSwhchtjiDHVIbAEs+kJDKmULb08y4L8Upixw3LiimUaWLqUZk8tInZfuQjCaZ2jcxRg'
b'kLx25YmFFXalZrltmcAnzmT6puhKnaebEM25K5M7UGoGDNDJ4ckOcqWMTFUeJCLAJUIlXXUG'
b'cxzWXGDQSXfp+vBw2u3kABNm+ySmTJihxDHnKliEJ4V6EJVQLZBrF0L6mxI0BEiF7LJfM43B'
b'EXnEiQsQOoIKER2kP4/kqNTGUxmknWabFzEFfCayFvJoCdGREkien5KTYOlqw+FQwHJeSVK0'
b'IZMTTKUoJEKnZKvbPhVJnfDKT876g3beyx7qKo+OonDgaHFbVgFrIuItt16IoK69YegDJLVE'
b'VSF1IWhDCFbqlD2aySGdJ5BFJlk6ROQ9iXIbGigmHBkgu3OVJ59xAjAZkaa+kHOiGmKMrEi+'
b'0AwiSmYCqmqInwbwrSoamXSiBSZ37ISLSfez8RBUARAFdh7REauEKJFVFFlBFKMoCyiQKLIA'
b'RwUte2SyX4rrId9cyvuKSEzNmSfEb+kHFnHNXhi0CENHPZ1wSwIhECPIMhXlpbo0OcMK0l5C'
b'tGCnjfvxM7sknb80M0895fuLmgeh8BPToTjXCHe3tqrp5bN+jcJGZg4UFWWWiAq1r/r9fq/X'
b'A1SLaZeboEut5aiTJ4m5DMVgsixrZTRs2rYVUKLEv8z3b+myU5ovWt8CFASTFBYYfJIiywCS'
b'1iIxE0m5W+BKYqdpAUZ+FhCYiQkAiiewvzQhwqATskFEARVIc9idc5v2zIon2W4z3N7+N/MC'
b'hU4KAZswfXyNIIe2rGGTUVoxNbvjKbeynWuiR/LT7Z9dAvvPZGJ+7gwp/v8eyeWfsIchv47U'
b'lau9ryg1+nGIDtWhNbYhh+SQPJLFuMoLTgtuFBFSUI7KgqVHxH96OKT1leWV1UeqOGzapUfL'
b'TdOura3NzfXfe+ett9/c7QnHw42lleXReByFV9bXVlZWRGTHjh2vvPLKSy+9ZOJ+Y33zwYMH'
b'IYT19fXK95xzV69evXz58nAUjn1+EsgjOmHrs+nv3r1/7LMT5Oor165//LP/EEBEJyJVVXmq'
b'Hj5YOv7Z8bne3FdXr9+6eadfDyRIr+ovLT767MixyvsLZ881wxEK9nqD5ZX1o0eO9Xtzd+8s'
b'3rx1B4iG41YV66p/4tSpTw8c9HWfyK8srRw8dMRV1ThE5+sHi0ufnzhV+V5o4oFDh9vAScFB'
b'H1r+9MCBEGXL1m1LDx/9289+vrK+zkisgOg2Nob7Dx8Zh0jkr129fuP2bSCn6B4+fHT8xElX'
b'9caj9tKly6DkXLW8vHri85O1q72vL1++srq6Turquh9C+NnHP7t5/Ua/HrBAb27+3PmL585f'
b'dL6u+wvXvr518YsrdTVApOvXb5z/4ou6P3DUq6rBV19dO3f2ApEPUbyr7969/+tf/XZzNHZ1'
b'Xfv69IlTN27erur+eNwON8fHj58QQFdXR44cffjwocnEL69cvn3vbowRMpC9iEgMHBpug8S2'
b'uP4m/s7iSTJVUifpvwKqMbZdJdKuNqfgJH9R1JMzyBoL2iKlLNjEghHRVVW/B4jGgJh5fsvC'
b'wpY5AGiaxlTtkqNv45HczgPAmmE5ERmNRspsvq4QQtQidVzKSsygdejIe48w8YSVt3icC5QN'
b'k5lRum3TNJubm1u3bp2b62vOvNSOqt29bfc+phW5jEqb3P9qbkfNlZZmyk+4THdIRa6XD4Ul'
b'dVlnsXC6rzDD4B5/2Rm5KzkhtXC67mlSMk/yHWb+CU8SpR2amdR0Yg502OFyA6ky+O5zu19q'
b'Drx0HW9a9CdgSGUGjwM1TLR555zzk/TTriAsb9H9J0xFyqd07sk/oQtbRN07dDn4zKjyl1NG'
b'1ONrN30ylESLjn0y8RxbootNlEEKpH7dHQHZkZGsypq0U/HkJKfWJLIERx1f9cwCafKFQ69y'
b'IilnHTpy3RYWO5ZqTttNFoXlGXb3ETOLTO5fVhxJnUvNInKhCIXAzThY8stMkYPNR5kWOzAb'
b'SMZeiKw6edKdDSDBJhSymdCMc3YTI9eSrlfun9QvW8GM4wkgPV/Vvsr/nNJuZxY3/VPUIRnn'
b'TAlOltiHTsmqPCd7GafM1JQkbRcWLvpEXtelbZtP733lfNE5OgxtCsq2O+BCh92Kpu4e704j'
b'dOyTma3dNcu7Sz+1By1hHRBRKzf1OsXC0cecHZgdCuUc+D38SqYP+9UYuKpWVWVJGvZll2uh'
b'oypTtWqqUihvWmYmxjjcTK3uzZbWLEB9btVi1aAuxzGeQBt5Prt7eSId0vncPe33suApIgAA'
b'IABJREFU3aR7dMdcRIxMu0i6NDa5UssgS+ETqEJGt5x9endpZobUZYAzS1+eq6rGZIoEL6v6'
b'RCKHaRY6s+Llpyfy2zJ7kxL1J60ITsuO7q+dOVNlUREJUSSqRNDc405SeoayIRaKmD9LGERJ'
b'Jx1CyyRM85wnmyVTLSBQd7/2SmjHm2vr3Ib79xebhgVoaXl1fX2z1+vteX33nldf2za/Zfnh'
b'koi0Ia6srAThjY2Ntm0fPXq0Y8eOD/a9v3fv3tC0Sw+WENztW7faGEajZv/Bg0je9+qz5y9c'
b'u35TAMGREpLz+w8cXF5bJ/J1XV+79vXvPtnPiK6qx21g1sOHP1tf20R0oW1Pnz7TNpHII1QH'
b'Dx7aGI4cVYuPlr/++gaiU8EjR489WlllhWHTnjx3TtEhUl3Xl69e/fWvflv1ekCubVtw/uyF'
b'i7fu3Bv054n80RPHl9fXLKXl+s0b57+4hI4EyPv6xIlTt+/cA/Lj0M7Pzy8tLf/s57+KLALO'
b'Vf3DR449WFzuzc0J4LgJx46fYHDO1UcOH3u0tKLgyPuvrt5YXl1lxc+OnVhcWhUBFVx6uHru'
b'7EVXVazwm99+ev7CF725+cgqjG3DAHTi+Im1tSEA7d+/n1WbwALe+frgpwcf3F9SxXEbfv2b'
b'341GDQB475m1cv7ypUu/+93vRHF5efnQoUNKOA6tqd9nz5x/8ODBja9vnTp1ChCjSq/XW1pa'
b'vnz58qhtFMHSaMXQ4TgIB4nBG7KEaPYPKWuMzOwdeu8ISTk7AU19iWzJU0ZezrkU3iIXWVQ4'
b'4dw75yvq5e5aDgkdRkRmjsmjiwrkXGUZsa6uts8vONC6qkQ4qRoChE7JqRUBYMJ9JMKc/zO2'
b'SpEyGHK1c468Y2YRJ0RkoDpCCIDKGtQgsQm99yAZ9kckPi6NVFXJWb43qDrnNjc3AeCpp54i'
b'q8FHSypJTEc1OeltTowfiwCINk0jIvO9Xu08ESiIMltiuyMAh5LkIpg+nJiIVRSoOIJUw0EJ'
b'5wEINUe07blZ8EwSaWDi6utqadTV5DqvjADWHE2ZAwAgVjOSYoYdl7eGjvSd9I2dOHpQFXIq'
b'hbVz6HDbaQ2mM3gF1dw+qHPPyZsqdNg9GZI+KCiRKDgxX6EaioyqCpr7WTSKRkR1zlWpO5PJ'
b'pAnXnuaiNqSSTJXGroSqQDrRY9J8qkGvWyu0jtMo1V5030UQEfOXmF58UtJXTpaMiw9JWe+O'
b'MHdAzUFntXIUABEJIfR6vV6vx8wJ+mm6+AEAFFhzyaCqeu/n5+fHDRt4uSqabznhhVu0Z8rO'
b'sdELou/3+01OjyYiIs+xTXSV+gRpxq5BQoxB0BEimknAzOpSIMKcupjbYCUQAwUiErV0Iyha'
b'SAgBEeuqQiTOkJ0AgIQiklLAIWF4IKKoVlU13x80TTNuQ6/XQ6SU1gwqkqKIqd0XgGFHYV4F'
b'06dFxHtvqXdEFnlIWdIi6kCZAEAJMaUjEtV1PW4bK21KGLg06bDW3U2JJkET8jwiIrAIACFZ'
b'DoDRYqJqNDwtUVAmctbbvXKeAZk5BK4qMv+ipmZ2ICLWnxdSnNOwVlMoygmpikQWS+JHZAFv'
b'SK3T+0NVFRmt44aqNZoVERWxvlHmcrVXkAkkaEnMmMSfu+UlCTgGYbIhrZe10RMCADlHpvsB'
b'ZJTE9Ii85/OUJoVJUMTqNBOvgynNybyos+lMmMIMzAKevHM06PVRLawkih5SQ1lyaE0MkC0I'
b'KdaV2AifPVK/qiPGGON41BJg7QkIc9cF9N4zBGYTdwnM0QnUzjOwqrJZMmrMoeNDyei65X0d'
b'KAPmtzTBNGHg1HXBIwKApe+kFQFF1MqRIEaZlBEnGQeOkLpoQvlX43IKGUncPAeG4+NSOpY5'
b'lbJ5nJTiyUGljgJtzmUiTy3ZDAEM1w4meYNlHZ1zCE5YOaqpFiwgal1/LHpsA7akGEzKxmNx'
b'rS577MwTIqD1y7BfDRlbdSpRauryRIWzP7FEiYyqCEKdYCBm4E5zHHAOF3cbY2DKApWUGTvl'
b'6XjyoQiiiqovvPCshLXa+fsPFxfvLnLUlY3R8sqGd6iq7XCEIbz6/Iu37z9YHQxGw822bV3l'
b'VzfWX0JcW1tzRM9s37F1ML/3tT0Xr15t7937+vqN0ag5fersvfv3Xa9vzbkPHD36wssv1QTO'
b'uXMXL3z51TXfH5gII++OnjixbdeO9/d9u0f9yxe+PHf+ki2lr3pfXPzy/X339r7xxqVzX3xx'
b'6WrVG0QJInD56rU339h75+7dU2fPgHdE5Kvq6xs3rn597b233/r66rV//elPh6HxzrMIkePY'
b'rm2sf7L/0//rb/7u0dLi6TNnxEja+9A2Rz8/umfv7oV+7+69+58dO9FyJOdUtI0tAFy4eKme'
b'm/+ff/WTr6/f+vz4GayqzaY1cXP2wuVvf+d+JXTqzEVwLogK0NLDlQtfXn366Z1HTp5WV0Ux'
b'HuJOnDz7jW986/TJU0dOnq7788NRW1c9rCuIrarevnnnzKkz8/3B7Tt3ql4dFZxzpDE07emT'
b'Z378oz89f+mLxUdLW7dvE4Bx22zbtk1jEISrl69cef3y4t176Kudu3aBI41aD/rjtvn62vU4'
b'ap555hlSCsKM1Bv0A8cYo8VnQZQ5GhAOalTh7OYx5R8kxqimwVcuq2JMFomKChxB2XplykSV'
b'JFWt61qEm/G4bRpANAAESujsaAwkeaEEna/JkYD2Bv22baPo/Px8rzdg5tpR5NCragWDF/aJ'
b'+wuSA++cFsA4VVVwVe3rXl33q7pf9QZk6fXOETkRx0RCJGJlbUkuWPNd7z3lzJPfZ0DbTjQB'
b'LyIOHEvo9XqDQQ9AyAGHBI9mo5LcKTMrlAJgzcVkNBppgvlXBWVmidZAIGAnbl4ePeVcgdxW'
b'pXNgLqwszrbCOovPT0TNAVO08uLa6T4rvzgCJOgxye0FFBjAT9hZRzHt5uWXfAwzACZ+5cKA'
b'smlUjsJt7ZziyymCZOaAx9gxAACLqVdFkCAgkAKIA6eIgAKl5hBYlYwnp0bxqTg4SzjsvhEB'
b'wFQe5XQ/zo6owJm1K1OtqrY7CoVM3vqx8/P3XWOynGkLDQCpeVz5daIrQrYKcgOBkorTIU5K'
b'fbY6C1rUo5INWNc1zNO4DYhYVRVmc8KahyY5jWTKGRSlQZUULOlIJKr2U1qHkibc9jQnXVe0'
b'VWQWIowxVj4NHpNyn3CuLLVNYqmgjVa5Y0xmOBwSEYLzvkItKK4TkzRPfmZrovamFm80Tznn'
b'pKayfcrbuU6mGeZKAOdcr67L92VWTWUxQ6W8qYiosq8cBiwRs0IJtuNwmpZUjboBADw59KAy'
b'aZaHOVOitNTuXlg8o2ZWWZd02/tTQJxQyLgTbBFBQnKI1gwB0XsPzhsCFYAATHEnAEi1rWnw'
b'qdmFZcikwXUUO3P+znAhyC6AjpvTQDlNdKW6e1AAQkP+ZhBCr7lr5ASYfoLdPqFwkUnvZ32s'
b'EgA7e39S5JCQbRRlKovSOPlgMLB4eNRYqAsT1C+SdbDJBJOHgQnOTiTGOG4IsfaenHOBGRWU'
b'shPEyroAIUYkC6Ijq2Ss7slou0wp0UypDVMNnNL/urQxc1UZoUsAX2bzkIkLCBIwTWXJqJrQ'
b'eW7KlogeCdGkXmYJZg+oXVVU1YkIKMtRiLZ8KKsztY6Z57i6Uo2CSVYSkfWCFM5wZ8Ldd9SO'
b'jV0+F17efZbmriMzFJJZ7UT7n/CxaSoq/IByVJPF6qpTFpKqKjCoAqiIeCEBcZiaOGNaPUlp'
b'wAmHLN2WhQHJ/BSoJB3mY7OceB+CMyMnv5wiNE0zPz//2qsv9/v9tc3hEsDi4uLqxnq/qgXo'
b'0aOVu3fvv/ba7j2vvkJEq8ON9fV1BRgOh03TrK2ubt2yJTTtg3v3Xnvt9W9/81vzTz1FVf/e'
b'vXuXLl9Rci1HUBeZL1+5cu7C+e/v+87G5trBgwfH47GrewKqHF3l28A//49fDvr1qy+9/Ovf'
b'ftIEdg4BIYSWEfcfOrxz59Of7j84juwQGUQBvvjy0g8+/N5vPvl0PGoH83NB2Dm3OR6dP39+'
b'6/zcv/7bT5sY5ufng5KvfNu2C1u2tGF8//79a9eu3bp5ExG3bl0AACX08/V4PL5w4cKHH3z3'
b'0pWrvV7v+fkXmcBcwgpAREtLi1evXr53484LL7/ovWeC9Y2NnU/vGjbj9fX1dmP47rvvVFXV'
b'htiqzi0MVHV9ff27331/bm5hY30UQrNj1w7R+PDhw8F8/8///EcOsPYV+erMhS/efPONfs+L'
b'tlvnFxDxf/3vv6187+tbd/uDwXPP72IOdVWFcfPCC8/94z/+o3f14uLiytrq22+/bap4y9EB'
b'vvDMs/v27ev1+5euXF5ZWvnwB983Dgwx/OEPP/JUnTh1cn7Hjjfe3Pvo/tIvf/nLth0jKopl'
b'2LYiEZUlsg9tS0TMkWPkENrxWCQOBgNjUuZ1AxHmqNN7UkSQNKqC8tb5BUQIbYhNCyDOewXG'
b'DEKHGZDO0F6rXo0g5LBf1SKiAkTee1/V/RqECHo0cIBiAM+SSRkcAztMTixEDG2rCP25Qb/f'
b'7/fmqKrJVc7XRvHeYQiNYUiDskgUjBpSv626roFYpHXeCQdAIKoRk1vD5BwmpD9wzqkgIcXY'
b'rK+v796923svHDRp4cl7mtV9dc4x59IoABEwwCkr/yUitaAekXYcHqpaPLuIgJgLDPJImJkQ'
b'ICfPQVb6SwmaiSURiZGJCABjDI4mnmlD84RcEVuYXc58SGHopmnsg6+KafEEp4h2FGWiCeaM'
b'MJRRYcccgizgtaPg2oMK3y8Sujst5kgpRgWDqIJzFlwSg1Q2557hjnuq7ScCVAuAxAAAAIYe'
b'DQQAHK1dcYzRuewINKJFRcTU6svZFKUOpkSE1usA1OK1RKSG1N0RAKaWmxuxmFIiAmitrlBz'
b'ekDWC5KCAkmC4qRgjszZK6AsLJKSQi2OIQgG/W22jYWJk3jhGNu0tTnGNsaWYwZ10Sx9waD6'
b'rQVvKqwndIpYVVWv1xsOh6PRyABzEFFZTC9XVZZJcaFRgrMeHYjzg4Gh6yCRgPi6CgGKk7vs'
b'FEVQFgAUkRiEiMjX0oSWpTdXC4sqm7oPmqoOUkaQaK4CSrGsFLIYjwPHSr2mXa8AjpCyuzFr'
b'MYYfYIEyp1VVh3HbNKE3cA7Qdo3FGZKfnxlAmqYpelshZsmIQMUmR0RlQHLm1POAZmraL4CE'
b'gP1+fzgcmtWBiMy2Echc8Zr1VxAJIr5yCKkrKjn05FOfMQAVYchmA6mprZU1f8jdT22BBoOB'
b'JVWGgAZJiRk2oNgJtpXV/NagqM4hiXMGUcvMRpmECJA8EWk2s/FfIiHkwLaMQRcAinPOozf+'
b'ACjkgACIQGateiVE5z135tNaInpjCCVKmUiOVFJrCM3KqK2Ry6U+0FHLkgcIy+f0k3FUVSuH'
b'Uco5XSoWb5yqFjCsSQOON+eIRG7b1jnnPSJCVdXoJIQAliSGAADMoKpISoREFeRMVwXu9Xqe'
b'HCuACgJZxZDGNJ8egRFElQDJeVUrFk5tEEVS1bs85gbOiqyVsrCoOWdLdzACAIIEAUKGJ4Ng'
b'cVJvfeit8thB7esYrcZi6uY6ceskfmUfEzWZxyKx9DT5kKSGAaHGQjP2RkaT3S+hRBUs/4wI'
b'wMJEEjhgaYecjXZAVkVWsWqiZE097r2alkrFIirDNgNMEpsUBbbnW3TRaLKIMABQyVE+RGax'
b'hvQAxBKN62G25Ikm2yc5kAiMorUE9bIAKAyzs8RIaC45RkQwLSm23mEMnJxghewzqxcRQSFH'
b'TeRxK3fv33tq2/ZXXn3Jk2xurjdNQwrjhq/fvCvqQsussRmu7Xn1tW3bnvr6xk2O8cGDB6o6'
b'Ho6GGxvr6+shhNXNYVVV/+1HP+oPtr344o3tO55uWAJHU77X11cjtw8e3HvuuWdffW23khuN'
b'Rlu2zEdhchWgbG5uLC4+ePvdtyw16NbdO8+/+BwQVs4vrjx899vvfafeJwj3Fh88+8LzlcPN'
b'8Wjf++9/78MfAOHXt++8+PJLiOodOuf+4i/+OyI5qqqq93B55cvLlz/6gx+qRESt0T37zK73'
b'v/2t3tzgyGdH33rv3S1btogJEg7f3vetDz7YV1F19fq1YWzf++a7bdv4ipQhtmHPKy8QfNiv'
b'61NnziyuLf+XP/4jboNHkhAr9x3n3OHDR3Y9/eyet/ZIbFAF3nt7bm7hF7/67cLCUx98+H7T'
b'DhHRv/kqt+KJKudPnzl76+b1D7/3nb1vvCbCGjl3nMDffPLpa6+99tJL37LQECls27aVyHlf'
b'Hzly5PKVS7tff3XHM0/HGAcgqCCg3vt2HE4eO76+sfHt97/d6w2siSaRX19fP3To0Otvv71n'
b'7xtWUVbYq6Z6qQjCotGHECy7niXGthWJJaV1ssmzUqFWEQWCREje1NzBYGDqeNOMRCIpgKhl'
b'L5o4URCNbYyRACvf8wTOISE6hzJuAKCqqrquna8ArG7Pdg+pqsW+gRAVawREdB5JYTwetm2L'
b'4OqqR74G55E8krcHA6gCUlUrB0CUqCIgDKwK5BwkEVv1ahBtVUEKUh6WI+0i20iIiLg5Hi8s'
b'LDiHGbVPtRuZe9IhIsxq7rdevypYHESgGdeycJ8Z9t39vvyzaFGPn1+2fdFUmNngwLODKi1o'
b'CQjku0nnWVNNIiFZI5MUnTKGmeeWE4r/zFhR4ZJdv/7MJcUqgI7vJJ1JyQnYvQSKYm3IyioC'
b'kESaRcZVAJ2qAie4dERUZS1Rgo7DrMjOYmPANKrJ9HIkBAwRIbJrsTv48gFUbeM9cbpmtJPy'
b'ffHs5lul5WaOquSqFPbNGxMIUFLGigBPQI00BRwcIlovUramYCFi5+nOOU3JSFaiSlGiBBYk'
b'h8AcmkbBAueo1Hl0wafqUpFCVHaddVRz/yEiyyS5v0yFyTPI5UOCYIZu27YAIAIcmQi8c0TO'
b'8ltmiLNIR/vGMOkq750jZbFmkPlkQiwuzKS+g0Jd103gtm2dr9UrJt/8bDGPZKujaBu2WJrL'
b'0G3AiGiJK9kjPtFDE7ug1MayJOWbVpSynjob05zDkq5TICRI3UKjFhteiFL+SGoo1kE2kw7A'
b'rlVn2cRWftKEpCQz6BSSPpr5mYxzTO2jEIFVsLs9wVzSU2v6+7gT5rKi8k9Iu2/yXOl0vzYF'
b'pnCu7kMJUREIkDvtyXXqgLKjp9nmTNZKYiYWH6Ap1daepZiZVLlVMQK7WzjGCGPAXmVtZ8rs'
b'ZRKa7Bf7YFhwMbZmflRVBYQpgdZ7sD5n6UFkGHAA1nB3priiO9opJgNgltgkwtalDcTcoK3s'
b'ZXuYdTKHZGwjEoIQoWrSS3NaDpT5mZkNo5+yWTondx6dv7GJZZ7Ke5xZcZf7ewKA7SCdRGkm'
b'SBiQoKuoe213QWHa8NNJ0HeK+XevnSzxLFFPkTcRoaUYSSJIZWDlmawCVQVlNlgPVQVwTxIQ'
b'Oj0D5afHd9bUVaqgKTqUe0hbZGaiM4ybVhUfLa1UVbXtqe3bt29/bccO9+XlpYfLN29+PW4b'
b'idywxLZdXl1/meipbduHO0fCcWlpyUzWpeVliy2vrK0+2tiwHOwf/+jPldyx4ycWntq2d+9e'
b'kUgoGsNrL7/yxp63RfTB4tLRo8f+4A/+a1VVAgzKtce2bV9/9XUkv7KydvX6tXfeeWfbU9uZ'
b'AwHueeU1Vb23tPT1rZtvvbW3P6ihjQ4QBDc2R58eOvzOe2+/+MJzwiGE9qmtWytXISJH/OST'
b'/Tfv3vn+R9979pldMTQeCVUd0KNHj86dvTC/Zdv3vv/dtm0rcm3b9Cxk1MbDBw4ubaw9/fTO'
b'555/um3HoDroeVRxgBtrq4cP7h+jfHvft+Z7gzYMe1XN0jx6uHpw/6d73nrrpZefBw0O1aG/'
b'fv2r40ePLGzb+tY7e+secQgSA0bQqrp0+cuf/8fPmmH7ySefPPvMDu+x9r6Noe/mzp07d+fm'
b'jYcPH+x9+/WdO3eCsIjUviLVry5fOX/2bIztxx9//Nd/+zfz8/NlTYnowtlzd27eEsKzZ89+'
b'//sfMTeGhXP0yJGlpaXw5Zd/9Cd/DADtuAFCU5TSoWwoz2SJOfZlcjl4bwF07ZxfHEXQYZ22'
b'aQd1DwCapolNq2KOe/OnOs6bxniZ8URXV66uqroGdEGUAUt9MHqHvkJfgfPgK6zqqterer3K'
b'0HL7fVdVztdKuDlu1jY3gjBVnsgDOgUUICCn4AScAAI6RGdJh4oAjoSBBdB5IJdAka0NmST9'
b'1GrswJHVr1jveiJCUtE4Ho+3bdvmve9qBh3pMhUiLHMVuRWNVZ1QICbOQgCEiYQ2LpQhbpJO'
b'WbjV5J6SQIXxSaxAMvfhDIKeXIsdPIRSVD3DTTCtLDMH7fjgux8Kn53ijNO8KTGsDMzRkabT'
b'6fzlnTFVZhfLM9+hU6WKWnA5DXlKJLK1gwBWYOWgMZixm/KzOZqHCVhQEyJQvlZMtoEYSUuq'
b'j5HIHDSyxqleXV1FCjp9qUiteJ4LslGeCi5QbqDmvxdr2GvFXqjAHAzmwsJNdrntwiwdCqKG'
b'AghzYA5WH6bWxSMGzq/fwT4CswocYpWxcWMIbdO07dg4OHNQEY5RWQjQmugoAwhaxM0e6itC'
b'hcApFccW0VpvphbIhXKmqQIz8kyXPMgBoICkJMSSBWQT7ygRmPe1qsYYvauy5MuRH9YQknZr'
b'fYgwadoRIKUFNk07Ho9NPgWObWBmbds4HDWjcRuDhJZHw2Y8atumGY/HlpgnIpubo9GoiUE0'
b'BWcUQB2qy11RCVGmoa5snOOmCTGWzCJEB46CcBCNClFlgiA0IXjwjqxTcony6UQVnq7g77AZ'
b'+0ZVURg4Akej5+7R5RiZdtVyITBnLglbKQR02UJ3KRHRbFcqiAKpPRon6xdSGVLpCNZV76QT'
b'VdBJPpUYlJP1dcEp2CstSeFpinL7EVUVQKKUvGSs23oj2NobfIqh1mBGB0qe6Dwww2CxaKbB'
b'r1nWZFIuIQHf4XQfusnre0/oVMDw4uwPJBreTuWSKh9CGA6H47aJogazk9ByjLVIRJxIVROF'
b'VVUpuibw5qhpAisilCpe1117BhCHgARlAssCITpVFCDp9A9R7Sqv3SLUqYR7AdKMNpZGa5dk'
b'YVZoo1hAiIqkqTiNdIpjW0ghyybs1HRNTpjSsyknWc04pCbL12Uv5SfqVKKnMwkFQSyCRGC9'
b'F6zfpk1XZsiSILY6NNB9VtmMM8ZAd3jTB81cqDmCRzQBbe02gVFVc0zkpVWDq+q+4MyWL6uW'
b'I59Txkh3An/fMckCYlhdWV9e32hFVzbWF5cf7dix4+UXX9j9+ssb68ubw1VxutmO7ywtjRuO'
b'AdZW10ebwzde3/3666/v2LmzCe2Dh/eDysZ4dO/B/Y3hMApLZCIab44/O3LsxPGTIEox6rhF'
b'UWYNoyHEeHj/gZOfnzjwyQEA8IoYeTwcOSQOY43NwU9+d/XLS2dOnSbQ0DahHTXNOqEcOXTw'
b'3Nmzt2/elBBDM4xh7EAPHdz/9fWvLl64IJHH4zGxeofKMTbtzz7++Mb1a8PNzWNHjoamRVGV'
b'0I6HjvDQoSPrqxsnj5/cXN30SCG03mHtoefoxInP7969PVwf/vI/fjNcHXqtHDgCBAZlOP7Z'
b'iUeLa6uL6+dOXnTgKldLkB7VRw8fG24212/cGbaRXA+hAvWHD322PmofPFo+f+mSgBd1CFVV'
b'9e/ff/jzX/5qYziq6/r2zVunz5xB5yOoAIyH46OHPxPm0Xjz8KEjSI6tzi0Ih3hw/wGJARzd'
b'vXfvl7/+BWsMwlGYAFcWlw7s/4RQQ9uePXt2ON6MKoh4//7dEydO1HW9svLoyy8uopp3yfQx'
b'Fo3RlAzQaI3AiADQXFZQVZXzSYMsYqlLXpmUUVWdc/1+3znHMXDbWJMdq1gvu0VEzKAxZYuI'
b'0iYlMowRA51AIknBPgJ0SJ6cd74iVyF5REfeaVYFYpCmaZgNUR5FkUUZEMiBWlcmjKJRQRgY'
b'VARMxdwcjzbHI8POs30lgI58b9D3vrYyxAmkQ8ftTUTD4dA5NzfXR5zFcilnmqu0qy8Wdu+9'
b't+CGJJBQkU6fnS77KF8WLYoy3HWXieg0y4Cs3BdOIZ3qqMTuRaZq7PLRfVnNxRtdLeTxY2YA'
b'M69QntK1lOAxzl5mr0xRESflKHc2banbyDYpFpE5RLb2ihJBonWIU80pkyVFeGIzSSp1ZusI'
b'MvUgfeyAaclUpvH3vdH0REl3EqSTfDVDRfa5DKYjgWYCMlMfyg0tWy+LZHNApph5dwtbbziL'
b'CRiiOUexuTC9OTUEVanIOY8hBFZQxFxVOTVFnadP1AvKRSldviE5Ed+cnWg5gU1kToChwqFo'
b'YGllWafnYdYZVk7WjAkbQhiNxqNhYwr9eDze3NxcX19fWVlbW1sbjUb2zdra2nA4HA2H9k2M'
b'sWnbtc2NYrRg9k2Wnnxd1RA7nuwMP6qmpEJHHs+QEFoOnnXbNZcHTPyaj5NcprpU8ZmUqg5r'
b'ndFLyoVlOxdjgHKKhflZSgVCd+Fw2k2Qbtgph01I0B01qMxG98W71F6GkaXJZCknc5KPRJ/T'
b'eFZ2n9w/eura7n+hKPr56L5IWa+u+ttVK7HTqG6GH3YJGzoWUdFBC6QVWK/3Ucu5wDola02/'
b'S1lxIlLCuq4NsmI8HjNzr9erqqrooGVmZvYaTLML6RwzJPf4i8ywF82QnV3W9MSpxgxkVLCJ'
b'8gAUEQnB4SxL7FKUdnz/3cN+6i5Zd/wT8uusF3QkVHfYzKEAc5WjrNTMq/0nM6mPsfQuOaUB'
b'KHQrYbp0CLZZphSD2fftztLMHXSyx6lbPqyqwhkFJF9u1xTD4AnTa0qHUa8CKSzev89BmnFY'
b'XV1fX1+PMa4uL+3asf3tN9/Yvfs1crC6vrK2sc6ITYib6+trKyshhJ07d77wwgvPPf98VGm5'
b'fbi0OByPNzY2cvEVfPbZZxsbG7dv3z5z5kwvwY9VIlBV1eXLly9d/GLLli3VUPQuAAAgAElE'
b'QVTHj31+9OgxjlFELAraq/31r65+cfH8loWFc6fPPLh/3xPWnmpHX37xxZVLX1bOX7r4JYj2'
b'qroivHHjxtlTpxcGc+fPnnv48KF5VDWyJ3f0yJFz586par+qL547f+3K1aryEuLc3NzVa19d'
b'vHix53srj1aPHPlM1XBBmGNcevjgxIkTVPler3f/zv1f/fJ3IECAbdtWzt+7c//48RNVNSCo'
b'zp462zQtAFTOf3Xl2sXzX1RV79Hy6qVLl1W1rvtffXXt0qXLVVU1IZ4/f7ENsaoqiXFtdeNf'
b'f/rxo5VVX/VilLruHz16bOnRcoyx3587c+bc0oOlqqo8+MtXrl+/ccv8Ar2qPn3y9M0bN5IM'
b'qvzFixcPHDroqwq9894fOXx4Y2PDgCUePHhw6tSp/twAQD755JM2pOPEiROj0UhiNCow0qHO'
b'JiXlQAAamdsAADPA6jO8vruBRaTX683Pz0tuGmreTenkMHRjoFA4SOXJuSDaNAENoND3iLxz'
b'jpxDR0iOnCfyRB7yn6ITBEAUEeOV/aru9/uTN+kc5pcq3jXbHsw8Go2cc1TV6CskD+iAkCrv'
b'qsrXlatqykrTjAFgD11YmPPegyokftHZ8FMZEZPZM0WfCDyCle2gFm6OVqFbpELRa0UElELL'
b'HNUc5CooDCoTd4WYTaVlDFj86yoYg1iH5iTzsgYtHQfhhGflILp9SR18/Qnr+c9bB3QuN+dQ'
b'l4S68qnwqYnrCCXEhlMXMyqx8kJppf8lS7SGtSwRVVAFhGMMzFE4gIghIHUVGpe4P5BC6fZA'
b'iKUDtEQGleLKVNXiHCp/RcDY+4kYYGZ5b+r6gVTV+vWWb0C0NHstnSLKPGQJWlrnysyfCaeu'
b'dWRnmngDKFGIyTERA6LeOQJ0CLW37BjvECzWEaO0bQyBhS1XOBenqgAmqE1bvq4ioo/J5m73'
b'6zJaMzOKroPmak0uzIlKZDhaJYRCKV9IrE03w8SGTH5iJcwI7rnXdSz5A+YaaELbhhBiDFE4'
b'qnAWrkTYwZlFROdSsYpzbjwej0O2yXN0iIjMQ0wEVeUsDkCIZhZ45xCdNfxVAEAnipLLTFRV'
b'BXNPNiytGMy46vV6dV1jBmYpOgozK7PLG0QAdNJM16gNPU38FERkLMKaEjjnfK6rLre1qhWr'
b'cqNclWjnJD5L6GZr9BNrAjTMfEUQBZ6az7RfJuo1ZDXFPC8MOgtCnyaHWJEnvb0nkU/zeyRG'
b'kS80ztE5f/JeBphICSQKPEHR/ArjKlvGBsk5kuNQCUSBbY1ZEnatJ0eAILZbwWJQXaFgFW6Y'
b'rUTnsaqdba4mhuG4HbeRk/1D1m3Dk3OZ0guHBADv615v4L2PMbZtZFZ0DnM7jq7yalFKsK4e'
b'afcJgOEfpUiLxRNTV2mgDJlk0Wl7Knb7ALACqwTmKPD/EfamX3Yc153gXSIy33tV2IgdBEBw'
b'AamFlEhJlqyxLLdlq72c4267F3d75svMme/+C2bGn2bmT5kz08dLnyO5PbY2YiFWgiD2HSA2'
b'Aqgq1P5eZkbEvfPhRubLKkhn8lBQ1avMfJGREXf93d9t3wj2kPrTsEheTnlRqYlfAu3VrWE7'
b'YLX6K1QwSZtbgvSSXXkxYEtr26sxmwqV9odNLx1egfFMJW13svEDQGtNt6UIm55rU7zJuGXz'
b'Ob85qqNtBdfmAfeSElOppQSC3TbPd5CptUC64RH0FadCVVUAs8WasJUt/foZ6WUmf8ORk95b'
b'y3J17iWGNFldW11eS0mrqpqbm2uqetvWLe+8/eaBvXtAU13XKenaeLK4vJxSWl8fV1X1/Nmz'
b'A/v3fuMb3zh48ODi4uLS8sv19fWFhYWyLJ8+fWpR5xTl/Pnz84svU9KUkvd+ZWXt5MlPnCti'
b'lAR4/NiJx48fWxEjAIzXq49/eSxFhQTrq+Prl6+PypFETUE+OfGJREXB+3cfLC4soWiMcvLk'
b'qSgAgmvLK9duXKfc+6g8efKTEydO+LJManV9fOrUqdXVNWNpO/fphUlT2xa+cuXK87kFcoWI'
b'jEajjz/+eHF5SVslfuPGrWPHT4piUQxS0lOnTjchJVFmt7Kycv6zC24wDCEdP35CgYAcEV29'
b'epWAqvHk2LFjJs0G5eiLLx7duX3byJR/8pOfPP/ymSdPwIRcV83qyuTUqTNFMVhdXTt96myK'
b'CuqI3GRSHzt2oq4aIl5aXD158hShU8UkUjU1kTtx4pPTn54ryvLOzVuXLl1y3tcxqKqE+Nnn'
b'F8fV5PLVK3fu3GGHzpH3/sWLF/fu3OrbgNKyKaBoZ7jYttxcMdNfiNoLXQAyABCRhf9zMVPG'
b'FGbkAwITseOivWHW0Mw5otY0TR0DEln+tN2ZjGQueya6BgAToO3u4qqpx+OxiBRF0VqQROQI'
b'HQIJkiUKmH2W2mqlggoSC0dbtm4fjkbOe/IFF6XjgtkjknmsfT1hh2Fnq6pCxK1bt7ZC3xBD'
b'iK9Y//1J66SA6SpVlTYX383qJvu4OwwJrRuh/52g6f+8QYQRUUunsEmCd1ElOzZFjPq/cuZW'
b'x00yZdMwYKNo7otXfAXq3d7cBLdCD7UpbUA6teCQqdCCDffvHz3JZv1xFKxbjgrlNoqgSVQF'
b'pANbT7PhkAtfmtbcmd5z0zNuOmRDLHLz0VdC+c66Yd76c77pzE03eXXC+9d2A+YeWl3U0EQZ'
b'Ha6qCoZEzyvQM3b13Mzc2+xTzviMPG4TQZ5zDQm1+TFukUWbIVsAbbYRENFyNd1XFOw61aiq'
b'iOC4KIrCOfKeHTNZVyKzVntuapOamFJXTdHfa92v/WRaDCKizN770ns/HA5nZ2e3bds2Oztr'
b'xP+DwWAwGFjdUVEUzOS9L4aDpFJVVXfP/EQ9OdD5YJ3hbZMGADFusG84d17cnBvpMmOI6Ilt'
b'wvsPtWmF5xW0cUHSxiB0t/EREWlzDq3/IJtWXf8BYWP8Hjbu6Ol7J56qkI1e+tQZ2WiWdaPt'
b'+QAbqm9TG5joxtaXRdirO9o0D5secGq6vfL43Zz37TPYKEi7P3U3h15BTvdrf6V1r7W7uXMO'
b'kes6rK9PYpy6zdiLd/S3jBl/RFQUA+dcXddGuG4LoxsPIqKb9prY9Ow49RA2hO26n7NC0an0'
b'6B8ioD3Pqpv5/jx0h3Zp1fZ784W90pruMe0TaavR9NfJ1f4gtZdjma6rHsHGxn2xeblCm8np'
b'4mjdJdQLZvXXJ/66oz/PBP8/SkF7svrVD3GjTmmfFUFzDIN08yUAAJQJo/Pl2qXxM+g69fQG'
b'5NTH5n7Pv3bABOCBZoh3zc42K+uLz+e0idV6tbY2Xl9fV8C5ubnSF28feXPfnt2OcHl5cTKZ'
b'ANHS0lKMsWmapmkgyYG9+9599939e/Y6565fv15V1dlz50IITQzI9Oz53OeXrrAvkFkRP798'
b'6fmLF0IMSEVRhBD+4Sc/ffrsGbvCe//ZZ59/+fw5+8LqM69cvzE3Nz8Yzp47/9nc/EsilxRW'
b'Vtfu3r1fDmcvX71x+95dcgyEVJSfX7qyuLxSDoeXr149d+6cLwZRVAnRcQL84vGTC59fLAaj'
b'azdu3bh1syiHUSVKerm8dOKTkzFJUc5cu37z+o07QKyqUSVISqDHPzl18fJlJHf5ytUrV6+L'
b'Yh2bEOOkCafPnV9aXjl74cLdB/fr0Fih+ePHjx88eHD+wqcPHz60hVdVVVVVFz77bHV9/e/+'
b'4R+u3biOTFVorLsuADjnrly5cuvm7TNnziwvL7uyYOYg6px79uTpvXsPAODs+XN10/iyGIyG'
b'w+Fw69atMzMzW2Zmr3x+6f79+5evXZ2ZnX1t964dO3Zs37Fj/8HXB4PB9evXv/jiiwOHDu4/'
b'cGDnnt2HDx8+fPjwwsKCxJSBzTFpEk1Tq8+lFA2mmrURpD6+LIdkDMUMSgpdqZgvCrP+q2qS'
b'UnLGLMCs7R72ZcHeOeeiAIgFFgyXgFFSzJX+ThKoJkIWUQRBQGavyAgISIqQqWRAADClWNe1'
b'qo5Go9GgtCai5HyXqdde+ZFJXyM0C01smmZmZmYwGLAvYozsFAGEgBMnQbUtpChJgBAAQRWR'
b'UDHGuLa8Mjs7a0wRmkkn+6R7feGSDSBVRVSrafPeE6NCS9xr1bG9ir18OXAnJoKEkOKwHBBR'
b'SsaGbhJhQ5EoYnaA+mNImgSUnGd2/VBGy6IA0NNtm6RGSsmX2VrrWekb7Ji+7tFX5HJfZf6m'
b'w0oJMz1/SnVdh5CKQlkkpcTsu4hgP81i1lJ7DzE3TARIgVAZVDMdoXFgB1DLBYmqIiuRA+sB'
b'YQ8r0kHes/rJHPpg6YhOSfRHjsCEDkkRLC4LtuAEQTfajgCUiRrQcle5TWY/OqXttCNil+ro'
b'5radSQv9kgXRrHxcMsVQUtEuYkoABm6zHWD3YuaYJ3FK/tiGbEFE+paTWXitlSoWRTATDXuE'
b'G9PZyO+9g84DEcUmElEIoY5pps3RW+Gg7UrGnJAEAPtNM68oEIFzlBSSBEBgxpSmibhuehgp'
b'SQa5QRsPAyIufK59J3LOqTKhIpLHQtVozDrDFFRVDTeFriiKsixDqFMadLZg5j6AhKSspJLD'
b'zH3VS9Oe4nlSkwghIrCKJhLVTCYrZiRJIiIR6Ozq2HKOtQMjJnu5IiKWVVDR3oRPbY4Emsmg'
b'FBAZQTyA9VvAlldE2oIfO9++KISgIM453VjCKyIZ0eFYAYyh3OLIBKrISSAZzjLz7W4wryEH'
b'8MH2BSJabwBb20adYgVmiFPPB4A6OEPedKQKyRo4sho5kW1VmwESo3Y3l75d7ZDHCYCYzKZv'
b'jVpERBUyPk0raG3luH0pY0bWS0zklJkBOKVkis/Q+LZQDVeCJsGsG0ZPQpZlOamrllrDO+f6'
b'SErjpsLcQDd3tEA1sFlR15PJZCISR6NRzlbl7YMImsGKxhmligRdY2brEyQisSu179m40Imy'
b'XlUetEoqkz4BZnXbmvK29iDHawCSYFsy27E52M/d4gHYIPmxbZHWqg5o1wNYlLAlTzP5iQBq'
b'SdpXJMx0YUBP22rPbeiv4b4UhTa/Le1s9AVs90O3DLoMhirBRkVmf7WV+moQSFVbKtRudlAN'
b'bmEZGIGO/7PvYvXGOL1V/9f+50k3a227Xx/Zu/E+m+8wKkon4JFKxkmQSvTh/QcxSBW1ivr4'
b'0YuZmZmRL994/YBHWFufxBSSaB3CeDxeW1ubrI9JdLK2/uYbbzlf7FxY3LJ128PHj27cuCHk'
b'BCHEIKDnPr985Ojbb7y+/8mjx6fPn69icmRKhIHw5eLyP/zkv/3lf/qLpqp/ceyEQDFughJG'
b'1dWXL89/fu2bH3zj2Cfn6ggCjfNliHLt9t03jrx1/NRZcGVUEFRkWlhavnXzzsJrL/7xX/45'
b'VM1gOKSEtgEAYDg7c+ny1TfeeOPC5UuzM1tVURAI3Y7Znc9fzD99+uz1A/suXbuxdddOQmcN'
b'0YvhQGPwBV+9cXPX7t13v3j4xtvvjEaj9ck4EpWjEgAePn6ytLb+/ocfDYczL5eXBjOziLoy'
b'Wa80/fYPf+BdubiyWpTD0cygGPDDp092H9j3p4ff9N6rSBK4++CL9z/4IKYKQEbD4ZEjRw4f'
b'OFwMRzdu3HrzrbfKAQOIuUkffPjBN77xvh8Mb9+66wp/+M0jITWq6tmJyO/9wR+SwmAwOHv2'
b'7Gu7d731ztuqGGPz1XePoshMMTx28sQ7X31v3759ty/fOHHsODKlFDUmqxVEyczozuxp0/Rm'
b'kOVNMt1I2raJYUUQRSYWBO8LJZysj1OMKIkcoaLBDcRy5K5gzmyVYgRiTMwEhBpqM4st4ggA'
b'RmdLxsEI4tgIiW2tKyECAQo1KWjSwWi4dXZLOfAhCiIRe/Yl+0LRgSKCIjjruqIYRZOq1nU9'
b'Ho+3btnuvW/tYAZVSAAMKpgACCRmgQiQkfcACiGE9fX1PXt2AUAHyFYFxKln399jOD1y5LVr'
b'VbZpZ1quqhMZna8PAAafMJtCJLX6dTNGHBGp9Q062WfiwDl2hZfQTEUSTwOB3RCJyMLiZk6F'
b'EBB7TNL5235NugN12tUK+yBaMP7AaRRnKufytxuDcRtNTzClVhRD6rS1uQJKxjxoApW6ZLG0'
b'KY7peJAVQJMokmpSZWzfF4DZX9IPBdmLkJS50wDAEk0GPe9rlM5MAQBq8RX9BxTckLDunpQQ'
b'lbKJskkcZ8u1nRZ45eg9V/ua+u8jp4atMDVnmYwM0UwTZVIRUnLONd20qzI7VRRo+0BNY649'
b'9A5oCEERSucbJzHzKjKoUBuQbpVlfzAKQCoNIpZlGUJomqZpomP03qfYdJGrzK9PGZ7KSEEE'
b'IKEiI4JnERIB75nIpVCnlIy2AMCEARlJrkzRhtk/LIqiDSp3lXwKlg6CXB4NbdjSzDtCR6SF'
b'o9GgDPUkhEAtx67dxNoJqWjTNFESERmkQVWTALODtn6eaNo3HcmmFXMflXaQknJ7ONXYeuS5'
b'cEJERIUAoyBBslUCiJpSSpbgsjZTqKq5Fqu1OQBAQQmVmdD6HCKioecTiP2RVIAstVfXdRQe'
b'sUuSuLXbSDRqLkckcggGfkEBsaQdIfiCNUZNGlVICQBQM4FstzAQOzE49dhbdZLIEDXZ5rML'
b'86ISETSuI8jdaaiteA0xOUYAJsr9mfPXiSpmGuLexhEUtVKYNhgsjA6BGAWIoBdvbtXTtHZF'
b'FTsEkTl2zNRJGhEhJZMSLc8qICKxAlj/GZlEM+VlNEJ0DtqOEpSXin1jzpjEkK12IhdS1TSR'
b'qBkMBh23coyiMalmQn8A4/YkEAEAzlXPSRUJeqTvqqra6Zc8TABSSO3DAoB1DLPZSKAEpJoY'
b'QAC6KDQipjiN+mNuoSUAwMQiLVWVKJF1pcsnt3kzIM7lKyKx9Qk3OE6YrY6NFnyXJ+k9EgGp'
b'Almko1tdGRy7OVmkXQIkpe79wisJH82u7zTEkAfTm8xOMssrn9gyFuVum3fFzVPZjjZ4sMhF'
b'O0rpW/9oLFiQFX2eoRYtZnq7vZswYgJUmdLNgcW3RNXcJKQOqNqlGgAZEQmVRIaIA1cuv5hn'
b'wPX19ZcLS4tLS0VZjutqfWVVQ3zv3XeHs1sePnq8urraziSM1ydrq+sxxqePnxw6+u53v/+D'
b'5ZXxgUOvsyvXquDLAh1DivPz84f37X0x9+zQoYODciYqpSjMPBwNqtCw07nnLzSFj771Le9L'
b'YDc3P793/746hp07ti8tv/z+D77P7EVhdX1tx86d7Cim5nd+53dK52uJX87NHzz8eoE8OzNM'
b'sfnzP/uz0peqWhYz9x8/Xh2PP/jg/RhqABmU/kc/+lHJpYh8fu3aR9/6lkFmB4VPKf3+H/4B'
b'Aw6K4flPP9t14MDeA3tBIjMbb/iPf/zj4WAACY6f+mTn/r3vfe2rsak0yVfeeZcBReRXvzr2'
b'0Xe/s2379tCMy8JrTMzu7//rT7/6tffefvvNyWSdHb1z9G0QYEBH/pe/OvbixYu9+3bv2rU9'
b'SdSkDEhEa6vjn969/cabh48ceTOmIFGc463bt3r2McqVK1eI6OjRo6PZIQBASMwcVbz3Ky8X'
b'z58///rhQ+9+5T0RYC5JUlG6x188OnXq1Oxr2w8cOKBqYExFEdCEbZd6VVAE16TY9Zmn7H8n'
b'SckRJUnaQQ4A1FrbIChAWZTsy7oKdV1ji9xEVAVCQlFE5mIwAuIYY0wRCFWAvCPP9aQKIYSm'
b'GZUFaLKKTm3UlQUrKwkTaMSomgnmKBtAsQnVpGLm4WDGlQMgzwUhEhIhUVIL3KMKiAiCMKJo'
b'IoL18Xhubq6qmuHMNlVMTW6GbLwnKYQU6pQCAsQYRSJlxncmggQwNz/vSgecEbqF9zE2bBzM'
b'AoRmd3XwHgBQEfHeS0ga07AsiMgQGQbSyHuSaDAYpBSIWtofYFVNSVRFonjOODlnrPYIUROS'
b'vTggBkltd5uWFpCYUkoh1NBypHSiqrMjVQWRnGML6zK3zMoARFSUzjGjZv5T0zrW15Mdt3oi'
b'B18RkMgrkAI0IcSkFjAiQMtuZjUjGZNDgJDj60yYBy+qzFwAFIVjRgJDdSMyAYDGDhwPKtgF'
b'cswsc8VAUZEpQXLsGcCMlWz8tdkPYpCknlrKS1Um8IRUlKrqiJMEdi4hgCIqOnYCCiCSkqqo'
b'c1bASUSaovPUhCRWXI5o4c4EEY0lQwCSqAgCEzmBiOREBAGYUGOjMRG7BAlgWozeUyXtw04j'
b'TQkAmcAxGvsN5NWSzQFti22IWEK0K5UwJvFEAGBRfOdKAFAAwawtPKGAYXUSgm+NLSGisvSq'
b'Kh7XJyHVdWISEUeUIHe3gKRN04jGsizNOMiM4yLmURZFsbS0tEq8fduWHKAi9MQxRkaMBrps'
b'8ejZ/0RwzscYgSmilp6d8wFSRLBWHsysKQK0FgyhKhKxmfPee/SsiY3epyg8IoImz04ksHci'
b'0ITgvRdVQFYVSUJOJaYBkRsMlurxZDJxGYVI5ojGJgJATAoAnryq1iHFGJHJvhqIYp0LqESM'
b'iBZiSogGqcYYI7Mn4pQSICeVrvczMTpHTUwxRlEkYtGkIp6dIeAM1O3YiSiAYNsLVlQUlNmL'
b'iK0Zs2BSFGUAVccMEEDVe1/VKRGlJF4jOWZHZVnWiut1LBwAgoccjy/IWd2FQxaRFBUcWN7D'
b'FnoU8Yy1KAI1ISGiY/KM1tawc1EVyAZM1rTUnArUGGNK4MsCUDLypDXw7KSYRAkZIImQgqSk'
b'AxdiJOdSSqLCDl1OCVteBbJAZiZ0MUbPCgjElFRAnYqKBkRMIB5tC6c+hXNWcK2Lo6IikJIW'
b'zrvCR0kpJQJ1zplZxkySlMiJgiZlhwyoKQt2VPGeRbxqMlh/R2MlItYhLEoCQjZjlFitdzAh'
b'OXZQSkqr6+OkUBTOkWXqkiNQBZFEZveCArehfUlWNJdQg1pJv4JlbEC7JokAbbhetM0KqCqK'
b'hZcQVRSSIKlzDok1W5IAlq+gXji8TWOKKjGLiNUwIPkQGmb2zscYmcB5r6oxpi3lUFJQUEGE'
b'toICs7slRGQhyS4ggpiJiHLnCegpMuvNAJpbopjRYXQXogk2o+HtZ7ZGh21FX+dwWsxLiMqy'
b'RCZRNRwjZWU3rcLilksIqMseoaqY19dlVqaT3SYtLfGH7SQTIKQoMaDldboam8ygYOhBs6Wg'
b'qzbAHn4SkqBRoysAkQSRFBmgBlVp/VQkMaMNWDEhKSglIB2U65IKCAXjkIuY0lYqXEFpUn/x'
b'4F5EXa3GAWRhabFamxTot422HNp/IIU4tzCP4F4ur66vr2qSEOLSwtKuA1VK6bWd2//yP/0H'
b'cMUvf3Xsg298uG3bNiZJMaQw+ebXv/btDz9C9lev3ZybW/jd3/3dIIkIFCJJcATvv/ceF+Wd'
b'Ow8XFp7/4He+h6iEkEL93juHEPjSlZuT8fp3v/2hakAJbxzcTcp379+/du3Sj//gdz2xpkZT'
b'HBROojryLxeWr14464ejH/7O94bl9lDXgsnRloEfXL505fKFC0ePvn348MEYmpRC4YCRSj9Y'
b'eLFw7tQnOw8c+LM//7dlUVh7GmZmApK0MP/y7IkTh959+92jb6MklMQqhfO3bt8+d/Lkzp07'
b'Pvjwm6ya6mrgi0uXL1+5dAFRD76+V0W0kSiBlF1Znvnk5PFjvwpRTp088cd/8q9VlRRiE4fD'
b'4dlPTi7Oz508fuyNN14nIkKoqooBifD8mbMvnj2LMf7TP/3TH//ZnxARqKYYAQUTfnLs48nq'
b'yqMHX9y/f//IkSMpBg8IMZw8dqyejG/dvPGND96vq8niwgtmNk9ANcUUrI0PUa+QbBNOrsNl'
b'6jSugzlp74qkOB6Pq6oyhL1B/00lJ1Vg8sXAF0OrS4sxRhVXOnAoIpPJ+uNHj1aXFtfX161+'
b'IIaQUtKYYoyxrtZXlleWXq6uLa8sL75cmFtcmF9bWZ5/8fzZs2erq6tE5MsBswdygGQcQZoj'
b'Vaptn2AGTClYviOl9GJ+rmkaUYwxxZj5ZJqmqeuqCVWMTYqNNUjrAgZWRl1Vlfd+ZmbGOQdt'
b'CNkiW93MdP/27ewOONEd3TRSh4ttI2e2t202oKVF7yDC7dHrn9rChzrV0oU0LKNiFWmdGKIc'
b'bNqIZtmIcsEWnWbnduq8e9JuMIjcxVGkffyqqtbXJyLQNjubYtO7bzQydU3Q9dbBtpsStYux'
b'fYqQn060+69dwdrNg72glBJCLjd3yLl8HK1czuADahQx0tL2i2oGqaNTVZUpmQwTEbCqBskJ'
b'nO61gmUJNhaiYdsCCSB3fYYWYW9ZXwv0Qq/QTXvh8255dNPVBpg3EDt0L7d7ZTa2onAdLt/i'
b'9K/vPzAaDFW1e/GquQ6v7TPq+uthurzyim3B/YanSwFRjbqHmb2fFtEWpSvL0tQ/9DL+2mYS'
b'jM/E0A5MvnVsTL8lyXCvDewfoIkQvXMgSWIywAy1FdKqymxFktNqBNdyfpgj1HVabc0gtDWW'
b'QrTzU49x3CYhUwWCmOlfNXU3sI7Rpds7HVu+hd+bltECAK2Opd1H5tskExpmBvU3oD0vWbc3'
b'0LoK+S0IeO+TigFGMUOFNvxrdG2ZOrm/ikSB0BZzE4NaE8OUrIUzMxtkZbokQAVBFGLKSEWL'
b'11oNd6YQSNI9fghBJRGR975pGmhzmykFK9BPKUBH+gzWjSSX2VgDMntB3V6ztoYikrpPIHMY'
b'SMoPFYNY5yNBTGC1qkZSByKAzKmVBp3wV1V2ZLaTscwRkdEqqE43dSeNNwlGaStW+3K7f3Ri'
b'DXtpWzPVPTtGteITg/WPqzokASARqGOoQ15RMUaF1Oc0szQBICHxZDKpqsySV7qSmc3h6aQx'
b'9RsapIyGcs4VzrUAvw2Fy/l583rbXFhikkZbuv2kG1T/pkW7QYMkKctSQInIxKn9YF8ao1ja'
b'omvsjYgdtKbTg91UdxMOPQN6Ou1dy2uYvhcRyRF0tdq/zcW+fRH66px0Uqt/JrxSC9F/ZMoE'
b'op0PsJnPbcoBoNrPIaAmkClWZxq23+iLdnfoJh9bTW1IR5PM3TmIapqSWc4AACAASURBVJXl'
b'2KKs+teC5T/beBJ6h6VvME2a2gjvC+QhOW5CvbpaAIW6CVW9uLgYowjowsJC0zRvv3nk6Ntv'
b'D8vB2tra2mRcNfXq+triyvLyyootv4Lp+dOn586cvXzpoi84xUASbOepxPHayonjHx8//vGV'
b'69cARDRKbAgkNnWKzXh15Ze/+NmdO3fu3r6jkur1NU2xqSZNPTl14vjNa1fXVlbDpIpNHeoq'
b'1PXHv/zVg/v3r16+YqEoFG2qmgBXVlb+/u//bn5+/umTJ5+eO6MpISmqaAzLi0tnz54dr6+f'
b'OXV6vL6uqowKICwAKZ7+5NT6+ur9O3d//s//IjGpinMOQVIKiHD8+MchhPt37t6/f9c5tskf'
b'r68eP34cUC5duhRCQEQGHI+rM6dOMfONm9fmXiwURQEAjDQaDC5//vkvfvErTzwcFJcvX75z'
b'925RlnVdD4fDF8+fX7l8ufD+yy+/vHTpEhGpQum8Z7ewsHDx4sUQQlEUV69ePXnyZPd2y7K8'
b'devWjWvXS+fXVlcvf37JVE/pi2tXrj948MB7f+/B/WfPnqnEyXitqSehGYdQxxR6C7vlEums'
b'vd420O4/QVUCQ0hb/8GqqtbW1kI9sU96LgQlBXJuMJothiPTxJCEQT1x6XxVVY8fP3748GFV'
b'VXVVxbrpKCnMaidyAJTBAmJxATLSZEQsimIwGEzrhqeokuzQtw8mnXARESP/2bV795YtW5Ec'
b'sSd2xN6+k9ChYytXMHvCLAaNwYgRR6PRtm3bunI9YxHuC4W+mOi+1+zLTTLIoO19wWHs5pKM'
b'oiPTyZkb4JyzhDJYRr69ChGRnPU8biUg1KGJ0pL8KIFMhWxfsPYlYP+ld7K+r/D6ApGI6rq2'
b'XEFKqSgKVa2qpmMW6tKsqhpCyHJNUlv4O71tbtPeKtHOGhCRtJHiM6UEhAokmf0f22p9InLk'
b'Cm2Nb5P7RETesXPkncsINFM5jNgWcTomZgCKCk2KADCpqygJ2RGyiMSUoiQgBxtNARtPXU8S'
b'KHA2gs0zYUSM0HopmFUHguC0YAsM9OKyEnKtC5RSCilGSYqATF35X54uSKBJJbbsKBFAOhJu'
b'e305fUfEzNu3b//m+++/8847qspE2LOAoU3IdIrwN2nc7tUQUVmW9qiOIFNrExCqLxgRisJ7'
b'79jhzOzQmMs5syJ6RLYC2amRCp2o4dwhqw00QOv0dsOzVWQvl9jbbkVEaxJidob1BXeeHCOA'
b'iiQbkgELQ4jQKvJ2p8Quntf5zDHGJtQhNqrivcuMJSpNDNDWtnZv0KLjANBCbNR5VjALdlrC'
b'bn/itpjeEOGI2Te2RF9/zu00TWL8M7EJKUSfvRrsFrz1Fu1kCBEZT4BDQEmeWERCSCEJECtQ'
b'UjRUg2fnkKj1IYloOBwOi1KTqLklTKLYURZZMMJ2cf+9OOeLojD73lrSiFiHimT+J7Xdzb1z'
b'miIDWlcEZv7rv/7r//3//D+27XhNkVSxoxJCRGZn6aMcMSFFTdzK2BRqRtUerZa9oCxZRAig'
b'v3I6qcvMhukIkqwhQ2glpHFRvSrlOjFoz9UBCPubom8W9yWwLRVpq8CHw+FgMCCiFGKoG+nV'
b'qxA6QieQXW6JG2JteV+I1E0zqZuQohICOSRn0QoBNQ4f7BnBtvA2WbcABqdUADEWMsgAgEzj'
b'g6RISiCoCXoehfE42SkGIGhHCP1CGujFQQz7EVXWVscpalJtUlxfX6+qioiACRDzdm6DVpmS'
b'XxTSlJ+kk/wGWO62SV9SdS8lqvT70Nm+hF/HWacdsueVSuj+e+zG0Lf++8ujWwPdQT2C4O67'
b'pr9K79vbO3S/WhMAAeh6a2xYA72Cjdwapm1/qdhVUAD0aED7kwO/To+Ptm15/c03tu/ZVZOO'
b'JTQgQRITDcgNlV4rZwaCqy+XVldX6xRXJ+P5pcXxeJxS2jo7++bhN3bueE1CFEkPHz9uYlgd'
b'j+sQmX0KcurjExDTpUuXXrx45ilHZJoYiOjs6TNzz54z889/+YtHTx4zICo0MSK70g8uXrj8'
b'7MkzCHr5whWMRtxCBQ/On/50cWFpeXn11vVbZTEkct6Xn31+6dmzFx7Lq5dv1E1aWa+QS1BX'
b'N/JP/+/PHj57Dq50g5mz5y8+X1gMipKIubx2/cbjx08Hg8H9O3cffvEYAIlcPWkGxfDurbs3'
b'b94ya+Hq1evnzp1ThFpiUBkOh1euXLl+66YbloLw2WefBUlCiIX79OJncy8XhN3jFy+ezc2j'
b'c1SUZ86dfz43j8ChSZcuXQlNUgXvynt37//iZ7/QJAAUVJTx+OlPlldXiuFAEE6cPDmeTETE'
b'E58/++na6qpTBFEC+OTEiaWlpbL0ItE5Onv27MVLn7uCiWAymZw6dcp2ynBY3r5z88mTR865'
b'hZeLHx8/zt6HJCnKZ59fnFQV9dg429hiFggbCB83mYN9E6FbQMwcQphU63Uzsf1G0IafEQSA'
b'0PliUA5HzpeKlpieGhYrS8sL8/OjcrB1y5aiKJxzBbuCnWOm1jZ1ZWE9s3xZzM7Ozs7OGt/o'
b'9u3bd+zYMRgMWiC+GnEotdRvXdiSEEUiiDahrqpqPB7v3rV3//7Xh6ORKwauGBTFoBwOysHI'
b'l2UxKItiUPiBLwujSuwYgRC18GxjsFnq//uqVd3/3AzHPlK8P5OdmOs2at8s7kwiROwEbn4p'
b'zClXzYb+VrcZ6DRfB+vqW96bdAy2nAn9cNem87uvIKIc2ENCzFyHRVGYzjNS+a4UiYg6Xsi+'
b'1Napys/muF1rAVc7AQEckpl3FrfrLkdE6yCBTKldohYH7SLCaBkA9shkXAoWKWmahogMrYqI'
b'SYWd88UAyJjEXGo7J5jksmi6BftJwQKZiOjKgh1ZJ4eOlD3Xvyp1ZKN5HlQ6Q1/bcKN5Bdaz'
b'I5vLSNb8ok8M35/Dbvb69qUdCbRzdG2LMYE1NpKWiLN/vvT0gf1LG4l32qlmSRDqpiic88SM'
b'RZGTQ4hYFN45Hg6HqmoBXZsuaoksu9zXZDIJTXLOqUI2T0PongK6UtceKrdb/Jajkx5kzgzl'
b'7kxo3RuAae8h55yFXmyD+GKguXCTpa0bsT8558y9kZYj39ZzZ8eLiFnYtiSmG5yp5WnJZTzG'
b'SLZpDj/44IO/+Zu/OXjwYFkU2GbtXg21mKFf+OwVWCcHy2tMJpOOsWGTXrcRjsqBp7yVjD0m'
b'W5lISmwMjwCgmhiBVLwj51yKIiLEILEJISUFdgV5127wPIdKrYUqYgwGUcT40NrIjjV4kf/t'
b'f/1f/uf/6X80L8w5Kth12Utblrt37/7e977y3tH9H374oaqGlIKkzmbtNngSyfZnSrZp7CZZ'
b'TmbqFJAELSjDWNpSykjSKYu/VTkb04ClPqyALaS8E7vl2jcBtZdM2LQyu/nvi8pubNi207Iy'
b'XDvZFpit5G5iofVziEgSbIoldYcRTtR1PZnUMQoiomPBjErXnm3aSfJu+fXdgE2S/9ULuzNN'
b'cJkclh6XTpYb7dG/oYgognG42b52zo1GoybFEEJZDIfDoQokhRS1SaI0LRTpDxg3xiO68feP'
b'/vz3b6K9oBW04aRNmq77QTf6BtgSG/Tv8OqkdUcnsuySpmmsc4j2hKrA5heqLXJp0yfTXxF+'
b'0yGwYeP3Z6w/TrMcuk9gY5am/zMisnfb9+za/8Yhnh2OYzOOTd00saoLxSHiQOn5oyckqqpr'
b'a2tVVVWhDhKqary8snjo9QMffPD+9u3bnz9/jojPnj2r67ooiuvXrj364vHMYGayXp3+5Iwj'
b'Nt/Nu3Jhbv7ixUvel96XKysrP//5LxcWFhwXqui4eP7i5fnzn9pf79y9d+f2PccFMy++XDp3'
b'7lMb8M0bt0JIKriwsHD69FnCgoAfPXpy9+79bdt2iCi78uOPj127frMYbYlAIabllfVPzpxF'
b'ckS8urJ2+tx5IGfMxKdOnambmBS9L8drk7Nnzo/XKwFicoh4/PjJG9dvO1+wL5aXV4+fOAlU'
b'gPOKdO/+o3tffOEGw4XFldPnL9RJ1LkmyaWr13wxeD738ty5T4m9ICG7q9duLK+uDQczc3Pz'
b'P/3pf6vqQOSSKpFTwadPnl28dGU0nL12/ebNm7cRmckj8suXS2dOnyuKAQM9fvTk6pVr6LiO'
b'IQIm0KoOx44du3PvgS8GZ06fe/ToiQLFpCGk8Xp15sw5BTp19tzc/MsmGNYUnj75cn7+ZRYg'
b'GRQ9RWSoKhXcw6+1n4qIIHQ0vXkZTYWNoqgncpxhsoxTm9iVRTEYsS8AOSmKiJUggOr66vry'
b'8vLs7Ow777yzZcuW0nnH6BwVOZBYeF8SOcdF4QfOl957Y8sGgBjqtsTNwIc53pYkKojRw4Mk'
b'VFDrEaspxLqqqpWVFRXcunWryWLnHDKhYybLlxaUcZZoKW8isr6SxFmCD4ZFZ2V2j/nqXu3m'
b'SlVRNNOPEoExAPR8Kgu42F5NUUHJolnkHDLHpE1I5DiD4DV3Cgw5xKjZCEY0Igz7L2MPlEKT'
b'rDORtvWIYFlCmMY2pMWZQOawmZpffckCPYOjaQKzaylWshzvGFcsTmkz3DHlYUdtvpG0GHuW'
b'HyJCEqNa55YaxzC4U+/I4lRI2d9EAkXvC6uvLoqSiFUBkopIErGwkHWCayU+em4BUQoJkJCd'
b'KyxNz84ZXsX5vABs5m0wzI4YHRqrTEIVawjqqO2xAATIjthaYHZPLRJVhBRQJDNMW2Av1k1q'
b'BKELX4kIqJIoiRaeC89MAJpyb+JXvERb/x0+NYF2tdG2PZjZETOgdeVzSF3/Y+24bYxOjnIE'
b'WgFCjLmhR9umNC970GR5QxEE24MKmiQF+//COVQFEQLMff0QAaAsh0VRxBjNPtCMvvCtSs6O'
b'W2eHTU2MNqarPbPbUkB9Uvm8SiUBCDssfG7JVAwG5FzTVpYDbaDHbRsyTL0jG4g5ADMzM6CU'
b'oprJyN4hUxODWW8tQA6cI+fYlpPG0DkttunMgD569O0D+3a8+eYbqim2bo/tlNzNQKbbhJkJ'
b'NTRVCtE2Y+dEEbq2/ywrZNZ/R5xCVImOMYY6xaZwDK31ae1+CZ0Zup7JO8C8bPLWc8S2YZs6'
b'1qFBzioQVSXEOmbXy7De3bZ1zmkSRrV6MiZAlW9+8M73v//9TnogIqk4QiJISYnckydP/vZv'
b'f/bzX547c+aMIhfFAJFjyuuwaeoYg7bQUwJhQkKVFCXFbKC2KS8wCLqgqFWA5E4OzjnbZZZC'
b'8TwVaLYgU2wBh0lFgMhZhtDeiLHm96W0bTdUYKTs7W0QYqyauW6jJDF0beuoGOke9ABIVhNv'
b'U5o9ZOjAKtpu3owTzK8dSRRCjCFFAbTu9ZYh79u+m6xk6nqT+QLZQc88zbRlbaY3K27Q7EWj'
b'MCqyB3JdkCKqtPYkqmbWoW4pAuS4w6AcIlBZlogYVfbs2fNbv/VbX/naV3fu2R1VFLEYlNob'
b'dt/E7xx77IAuhJaJglcs+Hzab6DfsKO7Yf9VdhE6/M1HPoEJemdNlSBmRdnNXtM0XSvxvkmg'
b'PbSSbjw22wzYqzPGzHuOG62L/lVRUr/Ie/p5jPDKQboB+4RtcFBVq6bmQbHz4P7tr++lQdFo'
b'SggiglFmyoKibB/NctIXT78UTUaCUoVmfX3dLIq33nzzyOHDw3Kw/HLx0RcPx2vrZ86eV6Ao'
b'MPCD29du3bhx07mClEjpV788MZlURK6uw9AN5p7P/8s//3wyqYbDmRDSx8eOL62tK1MiQMcX'
b'Ln8uoEDuV8ePTZpaEZjxy2dPHz9+PBqNzp85v7q0WrrCk0t1vPz5lXrSELmPf3ns9KmzZTms'
b'q8b5UhTZu8vXrt++c29mZsvp02cXXy6T80lRkR49eXzx4kUidr68cPHivQcPyuFAVSeTiSQN'
b'jfzsX3718Iun3o1+8fPjL54viWBdSYq0sja5cOHqeD388hcnlxbHSZ0KpQhXL1358uncsWMn'
b'lpdWQ0giEJq0uLh04dOLc3ML/+W//O3cwmIUqJuoihpVo3oqPz372YO7Dy5e+Dw2qfQDZq+K'
b'3pfXr99++OhLAfeLX51wxWgwnClGM4PZLYOZ2e27diek0+fO33v06N6jR1tf27lr3/6de/ft'
b'2rf/8JE3qzpcuXp94eXSoTfePHDw8N72ePHiBTMbriFNGXKFQAjEUdcsFlJb2KOq2pYGbd57'
b'KSVmGg4HxEAEBGJEV4gISK4oy5mZ4cwsF2UCSCohhBSjbcj5+fm6bl4/cGjnjm11NW5CFJWi'
b'hd4AOSvUEwByTMBdHC6lYKQKIqIzW5xzgJKSqlORiEyQoLEABjlV1ZhSapLEuq7n5+e3zm4p'
b'igKRnCuSIoGKIhIp5KY2qkrICNm177gIUJULbNuyZEaFfky6L3S6fauqBj/ImX27VSsRRGTK'
b'FwYMqIi0iYwv22StrYZtjx4RSRIslmnB+A7uaXGmFO18TClFSZoEs2y1F7QhimxXdRI5xRRC'
b'ABQymrwe9LwbuYGD67q2kjgATEmJcj/UHKDNiYg+d0HL7wEAYCq/AQBfDCz0bii6TqiR+WTM'
b'CCyIMI2v9IoWkmhbRGGfpJhEwBdOIJE67bm1qMCOQxPYeyQGESUCQiLW7hlFmSimCODt3YlG'
b'RkSEFBM5ZoSUhBA0RdLcShCIUSFJEESCnPpQBatRc4QxRlQFC3NmTo9oPq0YBSchEznMNl+s'
b'm6k1b7CozOmUwSSWyujmAZnMTOmrAe8cE6EqE1vPbrtWNa/dvo7pr5/pMkvJyKCcw+FwiIjl'
b'oNBMraMpifc+hGBxSgAwnGIIsQnBOecor3wAGo/HzjnvDBEerd6DiHIuPgoSKPZVLnZboFO3'
b'FphXVcSpbyYtjMfacrBzFuLILZnqetLU3nsmlhbILv38e0qQgSKEiOalNE0CgLquOwCJTTi0'
b'2Z7usCJX1WTTaRvWFjPzFGPtMzgNkqQY22fsukMkBbJQNgZUEfWeERUQQhOUMMPfN5H2osQo'
b'rb8RbKqTBBUEEWSnNlSilAKgEGoMiTDDMFSVyEFKBChAygBMUZKEQJCEMp1LjFGJnXAyv4IY'
b'CFNI3hchSYzRe59Cba3jY1MRQeG4CcIOUzRQnzJjjM2wKP/v/+f/yiF/V4BlMkMw1FC3nkXE'
b'ebK6AyI0MUBEISZm1g1gReOp1JSC9w4BQAWRRCKoMKPd2ZGLklS0VWUAgP1EQbtKN+yF7nMR'
b'cQ4N4wqgxpfdnW/6KKWE6FJKCpiShhRAp6EiaLOUdV3HGIvCmSbqcgui04BcN4bOpkREEQ1N'
b'BDA5kbVM6hWA5WFDi5pFhJyiUSLS1GOYzaQO06OV7UBqVKCIRF3OrX3SHoYkz+M0f2i60t5s'
b'jEpEhw4dev/992e3zqysrDwJYTweq4IrBqooEiUF7IH7RXKMuy//oY0EqSohQX/AhCSIiKJT'
b'k3fDPLQ37y0V7Xzp7hzt9RbYZJq3OmgDYajJpQSZpwhaZxU0yrQAbzrIze9UMxOw5sp37T7v'
b'TsmcWhusf+lO6L93yP+bDm+aU5quis1lHvb8pkecc1HTeDwpZkd7R1vGK8tLC/MhRAIumVAB'
b'ozjCWDUeqKkma2trADCZjGMKLxfmaNeu119/vWriO9t2pqQ3b95+9uw5F7N10yBiknji5KlD'
b'hw5tGQ4///zz6zdv+mIQAYOkWKuq3rp77+cfH/vDH/3e3dt3rt+6GRNa511VvX33zu1791Dk'
b'yrWrTB4RBWE8Xr99+yZT+vSzzxyXdWxElLy7dfv2kydPXr54/snpk+WwUFJHLCmwIxECxs8+'
b'+2xLWd64fWtmZsYIaQbDmSI1t2/ffv/rX4Uk165f37lzJyALEBUD0zsxhSuXL5PCeDw+evQo'
b'AK5OxsOtW5FBRL64dx8RP/zwQ3J+ZW11dusWRJibm9u+ZesPf+8HgLiwtLpn715FmBkNHn/5'
b'9KNvfYuJAGA03PrixYulleWjX3kvtpHZjz766Hvf/o6qXr995/2PvmkWwmjLqA7NH/3JH6sm'
b'54or16+98eaR2S1bzFb1xKD67//i3wFASe5nP/vZN7/zrdd27bSg+NtH3nRIEtPxkyd++ON/'
b'RaD/9Hf/8PjBfW/cCHntSbfFclgUUADQwpGqagu22zN91IgJ1sL71tRRsHOMwL8cDkezg9EM'
b'+1KBJGlKyUhglpaWFhcXZ2dnd+7cCRJbyasxRuMbBgIBReQowmbFinHzJ0lpfWV1PF6rZmYs'
b'5eR8CYDsgkEgQgghive+LIcAoCkCCkqKTQh1g7PgWmWZAFUEkggkSWGKfoEpvXECShmlmhi8'
b'dU61mdOWjsCo3RUwJTEiL8qSBVOKdQz9OERvDyu0gL/seyAa8AfR5j/jeQo/UNUoQadMy4QA'
b'1NoTzuXoV1YVwJIkhNCBMYicoLQt2LJoU9X23YMqMFMuYWGj4E+UsvDohGk3eOec5ZKYpjEP'
b'Y5ipqgp6tniryLF1bEzJGEklYOskeO8RMYSEyGYWt6gnQURSx0TGgt3CJjYkggt2U/wSICJ6'
b'5xQElVEBsSXKQULAFOrRYDQJwXgqTWIKKIoU3qcQRJN3JIDMnGIQg2c4n0Lw7Ni5FELhGSQg'
b'EjGCaNTIHoA5RXW5RD6lGAGACVhRYijLYtLU+S2AwaeUAQsgzrABjVEiSgfl74wSZlbSOmbv'
b'yPyBzsrPFoCSEVnamJxz0nYXiiGgKog68s4Vqeul1XrsaOzfHWAazas209EoyIWJQTWEZmY0'
b'VKIQajNDYozOucm46oYdYxIR75yoGiuL4UDGa6szMzNFWz2MSRQgZlGTVBUFEc21YABq3V51'
b'zhE5EWAm5vzsigkRtU0fqSojSpsVBARrVOKcm9RVXdexHBQ+x/JV1RAahpYB0BBiCMFa0tjE'
b'EhF516QYVTCoc061tn0qGUEuRkIaVZgMUdOkpCFYvoiJKEpitJoZMIEpIjEGCyIwO2sNkFeF'
b'IiCLpMJx1QQFRBXH3HRbFVKXw1VVYlBVAmyqiXPOeQ5N1JSIiJwjpXG1Tq5A5KaJZUGgEkLw'
b'PIiSrGDSylQyciyZk1NR4bxnjSIxgmpMMalAlEiJFLxzwC5KKoqiCdH5IsUgsQEQBaTMgCRV'
b'VSH5FCIiMpE1e/He182EEbxzAljVdVEUVmwvKQCyd5n5xA8K1USMmIRRmantiuVFBFplZF6s'
b'ibQUIhOrKJFDVJFUsAMQJKxCUxSOgESSc04gZQ6alNFHFuultmSz3REbrDejrVRVRGC0ZhV5'
b'9wGAICm1XLqqra0pKCgiqAgWbCNgxhBijOC9Z+/ULAAmzIUapkNb+zoLr7zRo6iG2LIzTNvJ'
b'dYpFVbWF6Xf3sbYIRM5UvmrL8LoheEyYzf9cUGfV2G0nHFul02Jo6HVsaIWSY+ammoxGo6au'
b'Dh48+P43PijLUhW3bNly5MiRxW1bJpPJ2njMiKX3ETZg6DsHwMBRXeC/UzptBwz7fGOlRAv/'
b'63/YXduZ+B02pvvXnKWMkzF104b2TTMSYecF9W8ILXV1l/GLbWJTRLqq3L6S6g8mf6LTAxFB'
b'2rpsAJ1emBDRooPdzAOQRMU+9r+dmn5c45VXvGH8DIxAdV0LGhRWXYHb9u3eunNbsz6Zez6/'
b'PqmcJ88egOqYZnzpCMara5brmkwma2tro9FItksdmt/64P033nnv4YNH+w6+7odbF1dWhsMh'
b'efaET+fnjxx8/cnz5++8/74ihSjMbjiYEY2CWkl8Nj+/uLb67e98V4mbkEKK27ZtC6FG4HFV'
b'/+D3fjgajdZWG0AcjsrBoBiH+l//8R95X4yrZmV9vPfAfpDIHrbv3v7nf/nnngoiZiovXbm6'
b'Y/euw0cOxVAjSOn9v/+P/85zsbS48nTu+Tc/+nBlZcn8cAD9N3/xb8uyhKSnzp778DvfK8rS'
b'owBKjKFwfv+/+ePCFY6Ln/zjT7/3wx9u27E1xYYBvvrWEe/98vLqqdNnf/+PfiwaPfLX3nuT'
b'Edcn47//rz/58KP3t2zbKjGoEX+pIefl0uULTQhHj77pyyLGqBJfP7CnpOL+Fw8ePLz70W9/'
b'tHPvHiIKk4oItu3cUhTFy+dz50+fXF6c+6M//RMkF2O0uBQkGQ4Gt2/cvHTxwrbtW/bt3tVI'
b'cr7QmAZFef7S+QsXLnzlg68ePvT61q1bvSPnSdW6fqVMyNt3ANA8ckgioi1tRVY5kEVDt9lS'
b'SkDgXAFgfcfbHvVE3ntfDn0xYPYJyfrOcOGJaG5ubjKZHDx4sCwHVTWJwVCGEWPkKH5QMimD'
b'isQO0CIiFhpVTYNBEYJ3zjkESAIuETqVwMQZihmDZ0cGf0WjkQbVtHXrVu89oTPEnkU4VEQk'
b'SaolNppSbmm+McIX2+pVnGIHk6p6dto2AOqmBafQ5Jw7tvS6dqH0nlDoZJ+IAnKMcfv27W+9'
b'9daBAweKolhdXX358uXdu3ebpkky3b1ZZPQkixlh+/fvf+utt7Zve60oiuXl5Vu3bj1+/Lir'
b'ENhwOQJMSwvkwIED77777vbt2xFxZWXl+rWbjx49YofMDK9gKw8c2H/gwIELFy6GEN577709'
b'e/bs3r17aWnpydNnc3Nzq6vrLRYoB3NbXEeWUFPL3hhy2uBuCKEsy927d3/wwddnZ2ejytLS'
b'0vMX89Z6EImIXUcFh10GAGBmNDp46NC2bdss1ruysvLsyy8nVUXeoSaRCMComWsQUYbl4ODr'
b'Bx4+/XJcVcTchJoZRYQY67pyoHv37JmZ2fLo6ZMmVI6LpCIpJkHRuG/XnrIsnz59BpL27N65'
b'bdu2QTmqQ3z87Nn6uGrBCYogIDIcFDt27Ni5fYdHqifVwvKSrixXVZVAO4ewUwb2Nh3x1q1b'
b'd+3aNbNlllCNtXZlZcVi3gxI3nVxJtgYIwRE51xoqi4shwKeWFVnZ2b27Hztte07vPdfPn/2'
b'5MmjlfW1zF3aeneqSjR9yypSluW+fXsPHTq0ZctMSrq6unbt2rU7d25PJhNL8UMbkE5tu7T9'
b'+/e/8cYbx4+f2Llz51e+8rW9e/eGGO/evXv/i4fj8djs/rfeSmgJdgAAIABJREFUemffvj27'
b'd+9eXFy8d+/eo0eP6jp4X5pr3fqxYgLHzNNDhw69/fbRXbt2OecWFxdv3rz+xRdf1HWgthdX'
b'N2zjzQZRYIPXsPfes2shcNzVdbz22mvvHX13165ds7Oz4/H43r17169fX1ldNziQKwqSpFFj'
b'jFVVbRnNfPTRR1U9vnTpUkhT9IJCLm3yzv/pn/zR+fPn7z94SARERUpJFb0rt2/bsm3bNlXY'
b'tm3rzp07Y4zLK2vjcaWte2Ybo13Psm/fnm996zsHDh2cmZmp1sd37tz55JMTq6vrgBaPSdCK'
b'WchenP7Vf/+fz5w58/Dhw+//d7/99a9/fedru27fvn3t+tVr129UMTHjztd2fufbH33lnSMz'
b'o+Ly5euXr1x7/OVTQFJwqkCqItE7b25fkIQiA++/+rWvfvjtb23buUtAnz398uKnF27fuhVj'
b'LLwz7AURpRCJISXYs2t3QaQAiLpnzx7niiam5aW1lFLTVM47VRKJBPrd73137559//iP/1g4'
b's7TUeRJ0qIbbFM/Flu3bfv9Hv3vk0OHZ2dnV1ZU7t+6cOnVqaWkJQRlB0fhPe/FVSf/DX/3V'
b'uXNnHjx4sG/fnvff/8bXvva1YeFv3bp16/aNW7duNXWFzoOoQtIk7AqL4OadhQZXgw5O098L'
b'SNOlbiw3zDln2FmHRIToCc0pEQCwwndJaklOxIwLLctSNX84Go3aLdhFNGxHT3n3IUeHOlB+'
b'rkryvCFxodrGpGlqClvwAmhaA7apcre7Ng+gnVBEFFM5rSPUXYUb61y7w+SAsUJ57w8fPkxt'
b'OQ0zD0bDcjhYmHuxtLSEjuqQPHuLuyGa1Q1GhW5+MrwSj98Q9IHpAIiwTcphp2hM1HSvpjs5'
b's1r1DOXp/G/MHvzaKeq9JkVEbpk5mDkGsMe34UHPYOjPnuQEAIoA9qYRRYkzBMwovDbscZyO'
b'qrut6Q3NGT5CUZDpglTVVqpsfJY2Akhty9QkMYTABKX3SaMviwN79/jR6PmXL1aXFhmV0Xn2'
b'Amngi/HqWhIpiMfLq5P1caibkNL8y4VJiAn07aPvvv3eV9dqOX7y5O/96F8h6v/H1psG2XVc'
b'Z4LnnMy89y21b6gCUIV9BzeQEMVFojZapCmasmxJrR732BMx0T89MQ57ou3WeKLHjolph8OO'
b'7o6OmOjoibYtjduyJMsUSUkkQRE7CBIg1gIK+1ILCrXX2+/NzHPmR9736lHS+4EAHt5y3715'
b'T57lWxSgswkjfOFLX0RldGSOHD05ODi4Y8dORBDxAh7Yj42OakET5d79+REB+MKXPp/aBjhG'
b'RE2CWr9/+HhPd99jB/Z7b9kmSqlYx+8fPdqwjX379gA77yyBKBQUilR07+7UtatX9sWPjgw/'
b'adOGIeWBSaBgcufPn79x5+7jBx7bsGHEpimzV0BxX1esc1cuXj774Uei9Oe+8HlwCYsvRjlr'
b'E5MzkdYXzp4/f+5sV3/3s595HhED8JVAf/zRh2c/Pr3n0b3D69el9RoBqJw5efLktetXt01s'
b'ffLJJ9M0RRBUga/tf/rTt2/fvQUA586fffKpp6xNCdGJsLj33nt3YXHu9OlTX37lKy5tEGI2'
b'g02S9w+9l9TqN65M9PX0PveZ5z2w90ICWuuVlZX3339fRC5evLhv//5cseC9jVW0tLxw6tSp'
b'NG1cuzqxacP6eq1ijEGQFqe8tSxFRGd3RaacEFRu1tYTEmlE79nk4jiOq9UqJwk1IaoEojCb'
b'WxljdC5v4jjw6qx3gSpHUSRsFxYWlldW+vsHe3p7s26tIiEEXstmtEJmQBQIIvBaK60AQJxH'
b'FqN1f1+PMcbEkSLjBAAD7IJRUAF25HNRFAUcvohntuydTRuRMSFNDD+bvfPeggiy96l1NgUQ'
b'TUAIIsKA1rMIWM+JdcV8gZqkQOYglQCWs9w6SZJWHCEiz0CEwmE4HhPpxHlERM7k/5xzhBjU'
b'/ay1gb6GAE8++eQLL7wQPrNFh33+M8++++67169fR0SldZqmzrsQA1rkucjkXnrppZ07d7aH'
b'p0cffbRcrn7/+99fXFwMdUagLYR8M47j8PZXXnll967dzTciIj7+2IFr16799GdvtQcO770x'
b'kYg8/fQzGzZsmJtfPHDgwOjoaAhrY6Nj+x95DAHfPfTe6dOnNSlNQd6avW+1iDJET/jMEIt9'
b'1hrUIvLaa69t3rSZxYVpLwM4kfv37588/aH3vvkkKqXEe611mqa79+7Zu3sXtAU5Hlm3b9eO'
b'jy9cnJ17qFSUeu89RyZGEAIG4Y3rh7eOrqvWa40HDQAxSntvjdaQbbo8Nrqht6tzfv6hsBfw'
b'weMARDTS6IaN/V250srqtu1b+rqKYQTuAVLn7k1NNWyilAq+E4Vicf/+3bECDI7QvcXR9f2W'
b'4eLliYeLC8xOkKNcTFoxAmrFzmul9mzfuX64P3SQPEBfd8fYyND8cunKlSvhTrWpBUVBWkTr'
b'AOwOvH5RuolwBfQZ1xlEZMOGDfv27YsAA95taN26xx99dLG0fPjQe0mSBFRDUOCGIMdJGhGL'
b'xeKrr77a1dkJACxMSAD4yCOPTE1N/ehH/4TBxFQ8IrIPKsLCzM8++9zo2Jj38PTTT2uj2HtS'
b'ZteuXeVq7e///u+dc7/5W1/bvnVb2Ju3ABx48uDtW7d+/OMfh5wmpPthiBQ2RiL66le/tnv3'
b'bmoqrhLRwYMHr169+g//8I8AaH0SQGuISE1gK7ZouJlAalSrV5MkiaOsfPrUpz71/PPPR5HO'
b'NkSBfY/s/fWvvPLDH/zoypUr1GQwi2QM0Uq99lvfeK1Uqp09dw4AAk8n7NWkwDnZsmXLl7/8'
b'uUKhcOfudxExDVqHiv70T/90oL8Qguirr7786195GRHKFf+//uEf2dQhAAWHKUJmJwIvv/zy'
b'V7/2qqI1ftYTT+3/1re++l/+y99+8NEZcWytNQYAW5Bu3rZ929dee3Hntq2IuGfP1uBY8thj'
b'2wBeev3H7/ztd767d/feP/7jP8wZQAACeOqpx1ML//4v/+rCxfEWqiJkE0op79O0ngysG/o3'
b'f/S/bRkdZAQf+pFP7P2NV744cfXuX/zFXzjrQowJIVFH5rlnnv1ffv9/CpZMnR25//Sf/ipk'
b'Zd/57utvvvkmEaGACsNlgt/9V78zPNz73qF3a4klAiDwNnAJRLxDgN947Su/8z+8hm039eee'
b'f/L3fveb//k//9fDR44CgDZKGFi8av6Anbt2f+O3Xh4a6Ll75/6//JffVFH2Yw8c2IPw2uTk'
b'3J//+Z8vLa86ZgIMLAvnM49C5xw7L8FGpklrdsxaa6WymTYpIiTvvUIlItY6Y4zSmpkznlWw'
b'BVSELUNGEERkyiqK1hkm1DpfSJUOAnqFQsGYOJSdHKacLWBMG9GTARwzokIkBnTWAigkpTSC'
b'90HRX0C896E2CwltJnXAnoggQ68paW8ShxwRm16OTXibcy5b4SzNzBq42UoHgDCLba8Eglmb'
b'dy6fz+/es2toeF1QLBFk0hpFRVHU0dXt2Cf1hrMWWIwxqW0A+MgYZmQilgBCY5I15kYGuPVr'
b'KUu21WYTGx8OuNUWCay2QEpsKTq0SrsscW5Lo1vbHLahhlovaKbdqs2CIOzya7OBsJCac2/6'
b'hYmEZGcVRACkNT9c6+URNG0ZCJAFMsNTEQTk8BtZIIANCNkTYJhShsIlTNgCjSqsRmhOibEN'
b'LgsZxAMCEEkQPEHqWGlSgAoRWJAwTVMBiHK53sE+E+tquVavJQSsTCTiM28cZ1cWFsW6RqOx'
b'sLK02qiVk7oFjgDycfzxuY/Pnz27fdvmrVvHwDlEIfAMjE7m5mZPHz3c1d3d3ZEfHh4GmypC'
b'51NQCkRPP7h/7sMPldFPPrk/jmO2TmvNjLMzM6dOHB/dtHnP/u3OJxqInZudWzr7wYcW8bmn'
b'P10s5BQAArPnONaT9+6/8fqb1Wr1zJkzW7dv2bxp1AYlZa2npqauXr60Uqme//jcZz77nPee'
b'wpA8cbZWOnHiBACfPn2qs7vjqSefEOdC+sogy6XVI8eOItH5i5f3PfZoMY5RKMpHk5PTH318'
b'1lm+fPnyxo3rPUsUmcm7kxfOnTekzp+/uG/fI0qF5jUbrQ8fPvzx+XO5XC5N3AenP9q8bXtP'
b'T49PrDLm0vkL09MPjI6vT9zYt29ydHSDFvQuzcfRxI2Ju7fvEWnv5fTpj7q6e/c/9miaOuec'
b'QfXxuQsP5hfiXH5uafni1avPPfdcUm8ojefOfFRaWcrF5vbN66WnDmgk8CwKQr0BAKgowI8R'
b'UYf9DNvma63FG6gD3nuTy4XmX7gBW1UphUYDESpiyORTUmfjJj4k3For5cryykqxWFy/fn0c'
b'59l5IGQEJEITOFJaaU06iAZCwIX71KJWiOhs0mg0CEWpTOFYJDTrKUi9ihdtVMDgiHhnfWjH'
b'Viol51wuV1BkgBAhMJKdsEMWx5a9ZfYo4lg0qUAGJqIga+C9h6Yuctb8y8IDQFPQA5rt7daG'
b'GkA47SI8rcQCmsokIhIgB0qpxx594vnnn69WqxcvXpyZmbl///6mTZs2btz4+BOPvvTll5j5'
b'+vXrjUYjiiJrU8iwFi585osvvrhz5865ubkrV65MTk4uLi5u2rRp69atjz32xDe+8Y3vfve7'
b'pdKKMSZ4kVprpTla+dKXvrRr167Jqcnjx48vLy97J52dnS+88MLOnTs927fffttoHaBBrcKJ'
b'iJDo1VdfRcQPPvjg/v37K6tL+Xx+67YdBw4cePFLL2qtz350JsxJjDFBepwz18NmGALItEqa'
b'qp0HDx7cvGnz3Xt3r1+fmJqayuVy/UODB548uGXTlkJn16FDhwgyewfvvUJqNBr79+/fvXtn'
b'Yv3MzMzMzHSpVOrr6xsaGhoZGTnw2KPnL12enJ5SUR6J2DvvfWS0WC+eEcBoIggaI4zAnq3R'
b'sSIiFkNKASjhYFGESOIzTXqDIABPPLZfCK7euLm6tFytJlprMRGDREo7b0GwUCw8vn+3VnD/'
b'wdzKysrKwmJHodjb3bd568bHHt197eb9+w8mw4XIzF8FRGTf7j3DAz3Vqr127VqlUtGRMXG0'
b'a9eu3t6unTt3TkxMsIjWOgzTfhm4HC4ToYBkIzhE6Onp6RnsXSmX7ly/Pjc3BwDFzo6xLWNj'
b'G8ZefPHF999/P01TER/aDKHmdNYVi8WvvPJKsVi8e+/ujRs35ubmiGhkZP3mzZs3b9r89a9/'
b'4/Uf/SjLTzDomnNrC2Tvn3v++YX5+WPHjiwsLJgod/Dgwb37HvnWt761tLS0edPmq1cunzlz'
b'plIuj4yMPP/881u3bfviF7946NAhgMBmwSiK0tQFOvJLL720Z8+e6enpd999986dO4g4Njb2'
b'+c9/fteuXa+++uoPf/jDXC5KkgSbRW/7/i2MIhyEMw3pNE29zyHi448//rnPfc5ae+rU6Xv3'
b'7i3Mza9bt27D6MYDBw58/etf+8EP8PLly0mS+GYRXqvVOjs7oamp1Rx3BA4PZP1gBQSQi7Qi'
b'cD6DybHnH/zonzaNbtiza+fWzRvGx69NzTy0jpeXV+v1eiApeR8yFQKAl19++bd/+9Xl1fqR'
b'I0cujV+9ffv29u3b9+7d+8XPff5f/+vfFcITJ07FsfFeFBGS2MQSQc5EIrB//7bUwuuv/+zE'
b'B6eq1fqePXt+91996zd/49cGBvoOPv1UueL/n7/524mr5zsKuc+98KWvfOXX/uAP/uDf/un/'
b'MTM9nzjrWUyQGfCORHr7ev7oj/5obGzw7LmJDz/88ML4xSgX79uz/9mnP71v75Zvf/vbf/5/'
b'/VnaaCAaASCt0jS9cePaD37wk5zRX33t1xqJf+fQz61n7+Ds2bMAEJTvUYsSRCQFqDIshAMA'
b'BFQKAzZao3rttde++S9eW1n1h955+/L4pdu3b2/btuWxRx596aWXfv/3/2fv/fFjJ1yaaB2Z'
b'NiWZKNIA8Pyzz3zuhWcuX73z7rvv3r59O03TzaNjX33ttb17t3z723/y7/7sz5dXqwIiwAFJ'
b'1drgpA0d3lo/rZwp/C+pNpBJSIWbHKqsAlfZXZl5pyjyn3gBt4K2UiZso4kL+0vYBbj52U0g'
b'Y9aoBgDIADnQ4pihtT5ggQDAs2vltdD2UIiZ0xkzQVAfyCqcNZhQO72+vS8Oa6SvLHVmCXGG'
b'iJqOyJ/oiDO7rq6uz3z2+e7u7pWVpTZMYCDtYBRFcZwPhhJJUgvFuYh45z27ppQcZNJqiK1N'
b'Mxx/e7Le/gitJWZmn/X+vfdKmdZ1lDbVzrWL2Jb3Y7PH3j46gE8oF2Pr0UT/E2RGqtlPCydW'
b'BRNiRvhVj7Z6IBtjtL4sfHjmgUPEASJFiBwQntL2CW0JvbQ/29QtbQP+/MJJwyYlDhVB89ym'
b'qYs0oom1Uqu1igCnLqknjbhYKHZ3lUv1Rr1eWq0QsFGaAAtRbBOLjGk9XV5cAs9z87OIaBRW'
b'VlbOfHCKhE8ePzY2+g0toChDKhqFRw8fFmcXF+be+dlPvv71r+eUES8IEnBqJ0+ebCQ1bsiZ'
b'M2deeOGzniVAh48fPe6cm568P/dwdrC/j72L49zJYyca1YYVvnDu/Gc/+1mXNlCkkMvPzT58'
b'4403l1dL+XzeApw4cWpkeCjW2lsnyKdPn15ZWTG5/IWPz+3dvbO7uzvg0gtRfPTo0bm5OW2M'
b'93z08JG+rs4tWzY7cArIKP3+8VPValUps7yweHV84rlnnk7q9bSenjpxwiVOK3Xn1u3FhYW+'
b'Yoe37sMPTifVWi6fn5+ZvTVx/ZFH9/kkibQ6efT4hydOFU3cqDXiKFddXj1z+oMXX3wxp1VS'
b'rXz0wSkFooSSeuPDEye2f+tb4lJDOqnVTx477qzVxgBAWm8cOXy4q6trbMtmRJybmzt//nwc'
b'x044juPLFy/t2rVreGjd9L27586dy8VGABYW5m/dvgEcNH/pV65N9eWXXpFM5AGYmcVLm0SX'
b'814plS8UhLFSq9Vr1eaKFMiQ4qG+xHyhGOWLQNoxCBJgUGGA1dLy/Xt3EXDd+g39A0OkSSmV'
b'JolNLYg3WkVRZEykjQm3rghTpjcgihR7X6/XGo2G1kYpTSrTExSAgFhCEgDUJiJSBKRURlO2'
b'Nl1aWgKAnp7eXL6glEZQElSQAwQogwcEG2PvnQ9YJ0XaO06SlLTO5eLAmwgS9Guow2YAze5G'
b'VCLZnhHUMOM4bvEjm7jRMFrxwRwx3PaPPPLIc5/5TL2R/uD7/3jr1q2FhQURWVyan56Zmp6e'
b'3rlz565duxYWFkqlUpIkxpjgWM9ebOpee+2ru3fvnpqa+sEPfvDgwYNGo5Ekyezs7MzMTJKk'
b'O3fu3Llz57VrEzZNw/XUWiutiOhTBz/91FMHr16Z+OEP/qlcrghDmqaLi4vj4+NDQ0O7du9k'
b'5pnp6VYQDOPjRx97vFgs1uv173//+zdv3iyXy2maNBqNqemZmzdv7t2zd8f27bdu3apUKlor'
b'EUGC1kJqxV8OdsIgAfGPSE8//Qwp+t73vlcqlUUgdb5RTyauXROQcrW6srLCwux9po/hZdfO'
b'nfv27UlTd+z4sZD9BwXSgJkZXr9+ZHioXquVymUGRFJBpUQT9Pf39XZ3LS4uVaoVEHHeKUCt'
b'tVKahMWmY6Mb85G5fuNGpVp1LOLFGEOI4tz6dcOFnEm9/+D06VKl3LCp+Axoy8yAoJGKJj7w'
b'6P7YwI1b9+5NTlbqNWBMkmR5dWVltVzs6gXCuYez7LwCFO9zyoDzj+zZPdDXN7eweO7CuSRt'
b'MHBqE2fT6anJzo7OwcE+QFpZWQEAEAQB6zKjrlbwD5dJEXrnQDgf5zauG9Ya705PnTx1qrS6'
b'kjQS59zyyvK1G9eiXDS2YaxQyE9NTXnvDKk0SQPgNZfLv/zyy91d3Vcnrh45cmR5edlb16jX'
b'5+bnb1y/1VEsbNm8ZcOGjTduXPfeI2TjdaU0AO7evbe7p3dlafU73/27xcUF51yt3piYmBgY'
b'GtqwfkNPT8+pD079+PU30tQmjfr8/PzNmzcfe/TR9Rs2nD9/vlartnYsE8WI+Nxzzz399NOX'
b'Ll3+/ve/v7y8XKvVggzFhQuXenv7nnjiiSRJ7t69o5TygRsKREqHmzf0LznEJcjux2JH5xMH'
b'nvzSlz5fr9W/853vXL16NUmSJE3nFxbu3Llz+/btxx97Ys+ePVNT01PT086zAAaJeSJ6+eUX'
b'09QfPXo0AK8DEoOD36bgwGD/pz/15PT0g4uXLocIIQgCMjM9c33iWn9/77at2w4deu/Nt356'
b'+fL4vXv3mYG0ctbl4sh7ByJf+MLnv/nN3yyVav/3v/+Lc+fOzT6c894/ePDw8uXxiWvXn/70'
b's08/9fiDh3P37k8SYSNNmDkyEbMfGhh44YVnQOC//c13fvLWT8uVSpKk9+7du3Tx/Be/+PlN'
b'Y+sB4A//8E8mrl9zLl1aWbly6SpR9MijO0hH585dIKWFfWCQAEtPb+f//m+/vXl08M033/uv'
b'/+9/m5yaTGxSKpfu3L5z9PCRzZu379u3bcf2nSdOnBQga9l7QIJ6rTp++fL4+IWv//Zvliu1'
b'f/d//tmFi+NXJiaqtbp3jhA5Y4gxobz66y93duR+9E8/bljHAqR0yMlR+Mtf+tL/+Lv/olrj'
b'f/PHf/LhRx/Ozc0x8/z8wuVLFy9fvvyZZ1/4zGefuj/5YHJyKkBjAneGENYNDn7+hWeVgkOH'
b'TvzlX/313fv3y5Vqau3Dh3OH33+/u7v3iSf2DwwOnjz1gfOsjdJKZd6AbcCS9jwsQDBaQAwR'
b'yWz2slCf9UGIKIpMaO9SECxWYIKqLAJ7T4jhu0CEgvgCe0QUFCQApDRNnbNKkePQiQcWFgYM'
b'yHvmIEAszd4zNJNa5x1g0N9rgoVQkBACil8CzQiynxm4fCBhzNGGCvlFxMta5ZOdHwFoca8A'
b'EXxTIKMFaG12Cr2IrB8ZefzxxyJtkkbdOiviVdMcMFD5tdYIaG0qzKl1IKC1waDBANSscCh0'
b'zKANqxCYVUH/NBxj4EsgghdcLNWiXMeOHftWV1cWHs5USqu6+b3tXRJoqwF+oVhqvfiXHwAg'
b'EGSjnPdesnFJ8L4Urai3s8NoFWbaCskD9vQPD6xbx5lW61oRIp5BhL0X9sB2ZXVpbnYWgCk7'
b'pYGJQULBlZAIlcpYwSACDIG85GND64b6AIKyYoBvoRPEqDAyOiaoQhWQXclsaAmQOTwEAw6+'
b'f/dOUi8DMDsu5PNRpNM0RYCuzi7rXGKtdZaMifIFMhoFBTh1FkSMjpBBQAiwVq055+M4v3/3'
b'3qLWH33w4c1bN7XWS6srPT3do6Oj1jpmyeULly5dPvXBaWW0UmZpaaVWre/YuZ0IUWlS+vKV'
b'KydOfcAITlytnoxtGuso5L3zN6/dOP3RmTCoL0S5HVt3RKRvX791+P2j2sSFQnF+fmH3vn1R'
b'FEVal1ZKP/7xj5eWVynKpczCsLpa6untXr9hfV5F927fOXbsmNY61rpWqTDzjp07QcQotfBw'
b'7p2330YiFiFtvHUPpqc3btjQ19evSd+5cevIzw8rFSGQIrW0uLBzx/a+7p6J8asnj5/U2hBR'
b'uVJZPzK8ZXTs0sXzp0+eVBgM6jGtN/bv2t2dL1y7dOXnb7+tWCLQMSr0TonMz86MjYxsHBo6'
b'fezYjfGJCAmASTip1bo7OjZv2FiI9PEjh69dGTdaIwCBKEWVcmlleWn9+pGOQuG9d96Znpxk'
b'YIUozq0sLUZa9/f1vvHG63MPH4ai1DMbRdxIlxbnkSi4b3rgkJEiUFgSoUpmyMZ92X2ilLKh'
b'M5fPeyerq6ulUim1QUUoCDUGXSFhBhFsqfuFLri3SdDoLJfLK8urPf0DA/1DRISgwi2EiGR0'
b'oN9pY7SOgjmLUsp7H5oHQUCQmeM4BsQwiwzaZJ5BMrvm4ANETXp9NgGsVqvOuXy+WCh2GhMp'
b'HZEO9xa16v6W1qFSxrk1WUAAMMYUCgXKjHig1STANvh12BqwSVoNR16r1eCTAMSQBIePDQ2D'
b'UDnk8/mnnvwUAv7oRz9aXV0NzzvnCoWC1npubu6tt94SkWeffTbghQCg1Y/fsGHDjh07lpaW'
b'Xn/99dBADVOLgEA9e/bs2bNnu7q6Dh48GN7VRIwwIj799NPlcvlnP/tZ6HSGBD0Imb/33nve'
b'+y1btvxSjycbeV+5cmV+fj6cqJZc+uLi4pkzZ5xzIyMj4QixzUm6PQSHUxeyf+/Ee1FKGW36'
b'+/vDVpHL5cJRjY+Pj4+Ph7qlpW4OALt370aA48ePVyqVQD7OTCsRlpaWzpw5YwC3bd2qABWI'
b'ty7IziAiETbBu4wAJMDMbF2QcqvVauw8AlTLlUqlkiR1IkrTNHTKEVEA7t2965wTREFlm0sU'
b'IPh/uYHennwE9+/Pzs7OCiGSduyDtOtqufzhmY/Gx8cR0RjD3htSKGCUHhwcVAqvXZ0Iaz5c'
b'oEC3ujI+DgIDAwPyq04jNAGvrvlo9RqFwANcnZgI501HRkcmDNPOnj2bJMm6oRFrLXPmjRCW'
b'9+bNm7u7u2/dvnXy5MnAXm1B/Inopz/96dTU1Mj69Zs2bca24V64xMYYYT516hRmRZEH8VEU'
b'nTx50rNn4ffff79erwfIXBRFpVLpwoULzrnh4eEQLlprw1r76U9/ulKpvP3222maBqsQyWAq'
b'/s0337TW7t+/X5oyQWERhj/D8K11JsMLtNblcvm5555jhh/+8IcLCwvQFKEKnzk7O/u97/2j'
b'UvCFL3xBNb0Cwh3RaDQCYyJ8oHNrNuHhLwGLEr4LtRKElpNHo9FwjpWCNSkbz8ycpqmJo9T5'
b'gKV59dVXAeCv/uqv5ubm2IMxJsQVQJq4eu2v//o/aA2vvvIyCIe2gtY6YKXCVVhaqhw6dCiK'
b'IhF0nhnkzu1745euIsDRoyfn5+dt6j0SoAFSP37rTedg357d0nIgJvLWmUh/6qmDoxsHjh8/'
b'+3d/993EWcvCgFpHACCE/+E//seJidv79u3ct2+fs549NZgqAAAgAElEQVSb3s/MmeO1900D'
b'RKVSx2niWt5tGXgyo3KuOVWlaRpSwyiKvvnNbxLBt7/97dnZ2eBY7TPMOl2/fv0v//IvBeBr'
b'X/taLo5EpGWIThTQaGAt/M3f/E09afigBs1inWeGv//v36vX7a4dOyOl48iw89nwoSk92QqM'
b'bRq1Cj9pTgdt/eBWFAq/IsR/APBsXdO9u7UvtF4Q3qu1Duby4eyFUUC4lOHzW+uq9Qwi6qb2'
b'NLbNE1pLsW3/Uk2B2qajSDjCFqZePCJqUq1f3aQWZJtC6zdmOfEvNct10y+Imw9osxCJYlMq'
b'rTiXDg4OxrGpVCpzc3Orq6shhIal29PTMzAw1NXVo7Vx1odOmdYRALEH76R1httbkL9QqLQ/'
b'WnGvuSlL6yzhGgmtWad8MteHNpNHbnvIr3qs1QO/6rS0Uqb2EP3L4br1pGROdgFAJRwgQs3X'
b'exHfzHOY2Uv2l5YkWvhnawvIrm5z5bR/6a88JAIEz00EstSTRmptkFhorSsgcuzrSQ0QCx3F'
b'waGh3v4e1KpSq4pIpLUGNAKd2qzMPEiXlutzC+OnP4i9LwB0sJw7eqyxsNiB0KuUXVz88Ofv'
b'FUVia/PO92lz69z5s0eO5IU7QLi0+vHRo3mX5l2jV1Ft9sH0+NUOZ/Np48P3DhdSl0+SYuKm'
b'Ll/RqxVaKZ197+ed7PNJAqsr6dzcjY8+WhdHvLR04s0fV+9P5up1XSp1pmkxqXc0GpeOHLGz'
b'D2FhcfzoMbNa6nROr6z2OH/v3LmHVyeiStmUyx/+5Cd6ZQWXlqN6TZVKuXq9en/6+Js/rUxN'
b'l6enT7z1E1Wtq2pN12q6Um3Mzt04c/7hzVsnfvqzXD3RtYZupFEjuX7m7PWPPz71zqEodSax'
b'up7qRjpz89bEuQsn3/v5T//5n6VWj1l8teZqdbRekgQS+/47h95+462LH58nx66RkBejtEvT'
b'k8ePH33/8FtvvXX54qVIZ+MsFRnvfS6Xm5ycfP31N/727/7u1q1b+Y5iZ2dnZ2fn4ODgtm3b'
b'Jicn33nnHet4+66dB596+uDBg08++VSjkc7MzGSR/FfdRLq1btoXDVEACGEulweAxcXFar0W'
b'x/l8PqamPGhoBgQhWy9YqVWNQKHYGccxaaW1ViTWWhLo7u4OKHwiTUT1ahmaercY+FXZF4uI'
b'ePZpmrIIESUuTdNUKWWiKNyIQpm5ZhDZV0YDMJlIRCEoRYQoRNho1FbLJWV0saMrimIEEwZO'
b'qAE9oJaAgiQUJBHPwAyEXgBYXGrrSQMI4zgOzvaw1iD5RFAAAFKGmwwKRqqnNknTKI4FwHkf'
b'rM0cuyCAEzYDay2gIsKe3v58oTC/MF+plEK24Xxa7CgEaq94PzM15a3t7e4eGOhfXFyErO2K'
b'ABByoDt37lhrVdPBJ0Q0pZRzyYUL5w4cOLBt27ZjR48GeR/nXKGjODY2ppS6e/duyMJDoiMi'
b'jUYjCDveu3N369atAcWUOhvgWKiQxRHBjRs3vPeebS5fVB699yjgrbt58+Zzzz03Ojp68eLF'
b'sNk0cWVtYRcUQwb2cN4HGfXLly8fPHjwxRdfPHXq1NzcnIjkcrlAmQoo5BbeyXu/bnDYRKpS'
b'a6ysrIStL7UOtWIBRUoE5ufn60m9t6OzkM/XUuu9JwUhlffeh4aZcy6cw0D0TD0jey3e+ZQA'
b'4jju0CYudrjUx3FEANbWw3uXlpZExDm2jpk9aQNEoUFDSCMjIwCwurrKzNZLFOtUUADYWiIK'
b'PWPLwYEJU/ZaXFdPj1EwNfOQOVPKCrdf2PhFeG5ufnjdIBGIeKSWHCFAMwWRFp3UO9EIkgGu'
b'VlZKIkJaAZpGoyEsWmuljPe+XC4P9PV1ForVatUyG2OsS0Vk+7ZtBHjt2jXnXC6KrbUCnh0w'
b'AHsbRbmrV69tHB3dsWPHtWsTWe7ofRTFjUYjTVMkWllZaTQahlAIAih5dXVVkXLe1ev1cAVZ'
b'U6NWi+N49uFDrfXQ0NCV8UuteypJku3btxtjLl682Gg0Qm6htWaGoHpZq9Vu3Li2a9euKMoB'
b'AGmynlPrSRlEcI6JMnmxLEAAOOe2bt2ay0Xz84vTMzNhLYaoEnK1arU6MTHRaLiRkeGBgYG5'
b'haXU+uY6EQAgAGwa4TUTizUQBQAQBW1NEhEgdNZrwhDroInRypiZSpNIvZ5EWhlFe/bs6eqK'
b'Jyfn7t2bVDry7ASU82yMadQbiHTh4qVqlTdvGhkZGZlfWEysC5YpTQA0TE5OBonJKJev1VNj'
b'IqXMvcmpRx7ZMzc7K0CoVblSU0o58QDp6mp53WB/Ps7VajVCcd7FUZQkyTOfehoBPvjoQw/C'
b'1kVIHBIypcV5D/jhR2f37Nn6wmc+e/rMhSguNiMwOttgcEoBorKerVilI2aop4kBIiIBRCKA'
b'NZAJkRZBQsUMCnDf7j29PfHtO7P37993LMoYFlGonLeR0Yj67Plz1arftnW4f3BgZvqBUip0'
b'oz1ICNpXJq7WklQr4wQRkB1oHTmXlKq18asTTx14pLe3f7VcEUyJyHlGDKpzAeENKbhgYtW6'
b'p7x4LxwM7iH07Fv4jWZhHNouCoIAq2dmixBUnkghckZsCHNQBECtWIidBxAWb4wCiBqNBmYa'
b'bkSo2o1vwfvQ9ycAJ2uyP6HqTgWVQtSiiBQoRBTPKMCQdZ81EDOzAHMYSmVEL7W2ca+1qIIs'
b'oGriShgktAYhsH2QADJERxNlEnIABQDCEpson8/XajXx3NFZ6OrqYubV1VV2FhELhYImQ0Ba'
b'U9TdE3bzleXlcnkVUxtFJtJaaWWtJSDCNtW4MGSF5sQB1nIYyTDAa49WySTNppu0hHegaV/Q'
b'PLkimcThL6Y9zWqt9QzLGmDsF9LrVh9EftVUofUggTAlab2xVdtkkkcIoEh0EM1vOqRzJplN'
b'DKiAQDnnGMFxtkIYoVVUhzUpnlF94qtlrbJYY0EAQC6OswIeINZaR0bYk1akFSICe60oMhGK'
b's9Z78EpH3f19URxXy420kbo0YWfzUUzWay/l6Qe370/6xcWciW2p3KXJl5au/vzQc889Y5A+'
b'On5cpqd6TGzZIyiFmPf28s8PDaHbtWPnueMn4P7dfkQVqaRaEsZ7x4/sifX45ct6cmpAKSTP'
b'AFKtXj90yNZr7ub1fqVIKxG03i+c+eB8ZXnm3p3S3XsjOnbOkY4lwUibRlJTaeX8P/xD3kTp'
b'7dvboyitlPI68jbxLrn6xusPe3qrlUq8WtnGIrlYEDyyF4BcLp1+cOz/++9aU3G53KEMKu0l'
b'cBfdg48+mj3zUW+SDubyTNojJIrM4uqZt37W7exQV4+JclYgZU9xfPb40d7urnV9ncXisHOu'
b'UOyOTG5m9qGK476hwY6O4r27dyurlWeffc4Lpyx3Ju/PryxtGN3c3d/f6XueePypm3due6R8'
b'oVDs7EicrZVrR44d6x4cfOSRR7oLHSIihLlCPiCK3377bdL6M5/7PAkP9PQnSV3nzbEjR0qV'
b'SqyoxQJv3u+BmQW6VUC3Fk22uzPHcVzo7KjVatV6TUSMMWH+poLsNhIIA4owCnCjnjLpQrE7'
b'iiLSRhEiQGobIn5gYChnckSaSHnvvMsMJgU8ogh4RYAoDCQiYXQAIT9LbcibmTn0tpVS2sRE'
b'5AN3U2luWtsECD+zdzatVCrOcnd3dy6Xz/xKoOm4gT7wIEAJiKAE80lAoOB5kSRJktQLhQIR'
b'CaNjxrVzJ+0nSkSoqXiDiMFHqSWA0F61UxbZJLRtwnt7e3sBYHZ2Nnyg1tqzDpl32IqSJJmc'
b'nNy6bVtPT8/CwkIUGWutZyaiQqEgIg8ePAgnSkSCQnwcx/V6nYhmZma89729vcYo54Kgta7X'
b'6729vSKyZcuW3/md34EmULX1o4ios6NASg0PDz948CBQIKIoagr/Z85f+UI+NI+jKEoaVikV'
b'dIL7+/tDntQeelrnDREQlPeeSHkvRNxoNE6dOpXP5/fu3fvKr79inZ1bWFhaWpqZfTC3uKBJ'
b'e+YgFRoOtb+/nwFmZmZMHDFLaq0Qmqa5pmWOtKpVqoU4XywWy/XF2ESgQEGmpgoALEE2NNNS'
b'I6JIaUMYoQTWQiHOOecEKZcL9nMpBg2ZrDtFShvnLbMFAFSBOi4MEOe1Z1hZWSHSwC6xjkiB'
b'Z0QVFAIZAywOfJoG84awAPr7+59+6mAmOUUSoJ+pY0QsdHQAQKFQqNVq7btdWEXQrEsRMUzD'
b'hIWICKGRJNwUnM0MJZijXOytm5ubWzcw2N/fXy6XQ8kXEFkdHR0sHIqcdpNpUipNHCHevXsb'
b'ADo6iqHhHa5yeGXIdGu1mjGGhK1LkRQgs/MsHOYJrQ5TKDjDZK+zsxObkwQiYvZdXV3W2h07'
b'dvze7w2H/0rTlHlt9tXX16O13rBhw927dxHRGANCQXSrVR1hE6agiBRSd3c3Edy/fz+7E5t1'
b'YLg9AzHr1q1b+/btGhwcfDi/2DrPGPT729g+zZZbmAOs5QZJklCUb73Gi0eQ1FlhYCAijVrQ'
b'AaHY1GsVAQiQ6u7qBYCJiYlQk4DSNrEmzgmCIuO910pdv3798Sd2bxhe92D2YWwia5ma4Uhr'
b'cI5t6lUUN5KUlHHsrbVp4kSgXKoCEKBCkwuNEUGoV6uD/Z2dxUKSJGEUlqapMWp0dBQBJiau'
b'axPVk9SxxMZ4Z733SJg6e/nqFQAYGhoKHYGskS+glIq0Ck6FIqK1sY4RFKBSWjGzICpC5E/i'
b'MRAk0J/Fr1u3TgQytQOjrWetNSqDzOzFs9fKjI+Pf+pTj65fv35m+gFiiNngnBMGQiiVKklq'
b'dRSLgBPRgI3ERgoRZW5uThD27dv37ns/z3fk0zQNQ2/IkO7Na9NKy5QioqyWa1Ke2260tRpA'
b'mg0dlqwZHxJQ561GHXz32vNCyajAynrnrWfInK1dsGVYczVux3mvefbBJ7vXkM0BmJlV4B40'
b'm8EIEPpNoQAOktMSsnlQsvbha4rDoZ7MnNchUz5qfakSDLZWItJyyIG21BkJ8vl8EHuVsu/u'
b'6RkeHjbGlMvlSqUiIp3FLkRk4SiKurq6lFKhvEySJE0T8BLnojDoAPHSzOYDJUAr3ZZhtzE0'
b'mvOH5kacFW+tyYassRqyqql1wNBWvfu2xnnrDK/d2G3Pt8oPRAw8IGhmVNTyCflVhUB2JCzA'
b'a6391FnA0DcUtJaIEA2QeGEAJiYRIWAvYpsgIvapZuW8JwUt+lN2IZyXX3J4+IVjCCwApRSL'
b'JElSNJkJT5qmQYfX+2wSmyaJ1pFGcuwUYL1ejaJOHUfDnb3Li0s2NWm9Ya01mgzAx8ePdaHZ'
b'OTDEoogIvQPg8s3bJ+cWxHOpVNrVP+SEFWnvfWb7I+7exxemLlwEkV3rRpxzjIyKCLVz7sND'
b'70dRtH142FpLGlEr59zc3TtpkowOriOi1FkT5xx7L/72+GUlvGloUDwYEydeQqIC0O2c9fX6'
b'cqkyPLROJHveeqci47xfXlqKtSkWi8yMxqTedXZ3rayWi13duY5iI60DQE9Xb6T0rTv3N23Z'
b'WigWU9sodBbrlWpvd8+9e/c2bd92487dx594IpfLjV++uH3L1v7+fiZ19cbNuKODjF5aXXnm'
b'mYM3bl7rKHZ1d3cXi50seOHSFUHqHerbvn375QsXu7p7Dj7z7Mzsg7mVlSfWj8zMPli/fv3o'
b'lq3lUmlw4/qKTRqWvUihq7syN5eyVJJkfmGpp7d/sK8/Y3UKd3d0Xr58eXJyeuPoaK2eLMzP'
b'9/UMCqq5hSVmAVKSGc+urQeCTEhBA3AwUm0fBSilkCjAQpqj50ib2LtUN42BQxARRkeMjNoY'
b'3fI5V5rF2UZaLZXZ+67uLkQ0pKxz1mYq7CKypu7eVnYHvKW1PnEWhOIoivO51iw1m9KSAh0c'
b'74EoSBcTAibWp2lSq6yWK6ud3V3dvX0myiGq0O1AIAFgJCAFzEg6jBzA+6AdyB5tmtTrdYUQ'
b'aQPNCjtEAxFhDrrdWTRk5oCARFTMkCSJiBSLxVYGr3QmGNrKnsX71s8PoaparqCAF5ek9ZDs'
b'aqKQoCil6vW6MIdPc00zeRHp6OhQSs3OPQTCkNU69joy0AQkdHZ2Viulrq4uIgr7VhzHiU2x'
b'2bsNBylNhYTwrhCUqw8eVCoVRDRRFDL+AHNk4cDf4iwvz2ag5XLVuTIAGGNa2x63TU7b58um'
b'+XbnnNaRiBw5cmR8fHzLli2jo6NDw8ODg4O79+55uDB/6tRp65wXBoHgSeWcI4DEWmtdFEUh'
b'dlvvtIqISBGAcLVa7evrywbWSnm2wmEqkk3/1+4Bonw+D0pHiiIUrXXQk0HvrXMZCjzQsZi9'
b'B+d9ai1bcc6Hjp0EfQRCEPQCmgCVTm2qowhJOU6RiMWTUcjonBPIUklhFmZvHQMYIougKGOR'
b'mUi7pBHnDDM7Z8vVRqPRsNaSDu0dFmEvDhkICFiYwZDKtrF2PzkAJyzeQxN2xU3xpXAdrbVE'
b'YK0N3Pdw7arVqlIqNM5dkgJpm6aIynvrnAaRfD5PREgCAEmjQaijKAq2xMoQogCIUgpI1ZOG'
b'0SE5oXakWdttTqHzGrUts4BqqFarLa+0YrHIDC2buWq1urCwsLy8TERIWinVaATkG7b8lUL3'
b'AVmIKJfLK6UBoFQqiSAAeW9DQpAkCQhFUSQGq9WqCOTz+YAOkiboqCVmhUG1oxmpWpEBEZid'
b'c05rRlQ+GHuByjRBMAMaeRZEDYyo0HsnKETQ2dkpAqVSRQS1Nk6yNodNvdYRarGN+vLyMgIU'
b'CgXvPREjIqHyIkTKOUiarnAiorVKEodITgDCsEjQCQBRkrqOyIS8mQDEe03IkjWzFaDROmlA'
b'GNToKJdaC5CEI4/jOLVuaWkFAHp7e621JjJExOIUKfZg0zBbU6SMdWJMlFifM5F3FgAy8Hkz'
b'FGQnMPh8iEPEXC6HCIuLi4jIDAgKQVWr1Vwuct6GfGW1XJEAgMQg5r8mRMMAqJQyEZBmzzrS'
b'tuEBwTGI9400FQBGUEplDnqZKbsEVQgBIcFYG2steLaQ2SO00sRQGKhmACMiQRbwWkeIiCQk'
b'Jsu0AQBAAZJw2NrCh2gdRPOEEQFD2grgvQvIMWHrPIpvfS+3acVkyNPWL0X0oXktmaNw2NcI'
b'MHT1gkJFc6cLBTyGBmFoQKEAITIBewktBGbJ+txtKpYBIyyCAiDgUUCy4UFbQtlM1r13rUaA'
b'tcny0kJXV1d3d7eILC2tzFfmkq60t7c3NhEAKUVRFBU7O+J8VK1UVleXxfl6vV4o5IhImiRg'
b'bPpqtS5Ee+huPr+2qKitTmtdPiTKAMpt3fr2+xcRwxwD8RNyn7imyAS/8L3h872nXzgGXisQ'
b'PvEIeTmytOoPZrbeV+o1ACcStCACtF4DBjcBRiERQWFBECTHrBBBnEHlg/UmCAQXl4BCZWZm'
b'an6dNEvcVhsOADIbKMJ8RzF431prc1FklDZG12o1bIKZC7m8UTpNXaRNktZzJgKAer1uyES5'
b'uG+gt1JeLa+WOPFJ0kiFhkdG4xTBCzOwCUmgo6oFgP6ooJRihDSxOs5Z9mgMIjCI95ZIA6PR'
b'sQMRQgbO5fJWRcwIRH2DA6Va3Qn3DHfNz8/H+Z6ezq7Z2bmhsdF7D2aUjqMoKhbyxWJeE/T2'
b'9k9OTw/29E8+mO3p74siTQpzuVyhq6tcqg6vW1er1S6MXx7bvGnz5s03b96cmXoQd3QMDa1b'
b't27dw4fzTLh9z67DR44MjW3cuXsXI1+9ejWXy3V39c6d+LB7+7ZCZ0dHd1d3Z7FaLcdxXB7q'
b'2/ToY0s9XdGOLb19PQNaSoAbd25bXFz0Q/39Y5tJq8lL5ytRVEJl8oWL9yf37dsfmZzq7rTe'
b'PayU17Gfq5fvL809KC01SFKC6ZnJ+1OTVMyNuI0VmyTilyolYdU30I9a5TuK1Wo9SHGWa9W+'
b'7p4oihJnYx2naQqekb0wFzo6upxrOIdaKxNZF9TDAURCjKImIxwRgZs+AFnJi2tFbmSi1Pvq'
b'0lK1UldIxhjhMBNfKwBaiswChFobHUPAbGgjHuq1arm0ko9zxXwBEVPvnPMA6MEjojJakVYq'
b'KO5pEKIQosQiGiGbQ6W1NnEcqpEWmBIRQWkNSjDTC2/YQBFWSMysEdGYuLt3oNjZKaxCp0B8'
b'EPMCAWJQQkiCBMCMREzolXLNxp7NF4ohzWXmzAghc+H1AJCxdNpQm1pHzJw1xfM5zBxYqB1c'
b'GE4UI6RpKs4bY+r1Oohs3LjxzJkzoSoIIHhuYg+89yMjI0hULpdbYUiCQX1TyH9iYkI1PVzD'
b'5CFcyiiKunt6nE2SJBHh8JrQlWHma9euHTt2TNoUVLJCxRAKuKbzVKPRyOVyzE3hUSTPFqnp'
b'duQsoiRJGjI8yBJ9AUABT0jBjqx51QKMh5kxl8vVao0oigAwl8sRUQCFX716VRCHh4f37t07'
b'Ojr2wgsvvP3OO4jBeEzCBEMAhoYGAwrFeeuS1ORiVOwDq1igp6ePkAK4NknrAKBAECBwMyJt'
b'FKADJgQB9h6alGWEbAuFMIXNEJqQpQBaQZoGMBIFKyHnLThCBRA8qhhyGkwcJd6JgE0TDeTY'
b'sziw4AS0QmZy1lG2oCRJEgK4NzN9+/Zt7731qYgQBosJFADvhbRyLK1+f/suFTYT8OyFmTng'
b'fzw7ByBKQlsFRFzGbBFgyaAO2EJ8MrMXIaWpUqn09fYNDg7Oz88HmEQU5cLGkyZOEa5fvx4Q'
b'FhYWENHaVCmVy+WEMfSD2XsiajQamlBrbZ2NTeS8C8s4juM0Cj67zpg1c4xQ2HMT7Jtau7q6'
b'KiIXL148fPhoC+icJNZ7n8/nfXAOQQyCAS2ZEe+9RwpzRUQI7tcMQEBa61qt5hyMjY2dPn3a'
b'uRTaUgrnfL1e11qPjY0hZrQQUBSKZABYWloZ6OtpvT5ESmAhrYBaSUnGRlA6JmRrHShUiAqJ'
b'MRP+QhZBLwAKySOKcL1en34wAwC7du164403mJ1RJrEOAI3SgmATZzQFkd+lpRUCtNbGuUKj'
b'VteGHHNodQkpm1gdxWnqcE2MEhJnwyEBIGrtHBuDiAHw6AnAc+YSxQjLy4vr1w9u27btytWJ'
b'oBSOCMHpOUkSrWjPnl0EEPLUFoDYWqu0AgYfusYAmkDYF3P5JElC8cfMAMJIgiDZ/YWZhSSz'
b'R5l5OMcCe/fupX/+ZyPokdhzHMfOWaPIe46M3r17NwAsLa9AVpvpcAxZE9dnawAAvWMico49'
b'ShRrAMpmd4Th+raatOEeD1dZkQnTMGudiBiTfbKIOMsigoE/nM2CqYVvbBa3LpjMAICJtPds'
b'CFtLKOxcUWTSNG1Yq5TK5/PWWldPwv9aFyQo1jI5bJpstGRomF1GQYWM5UnQdEYLe3e7X2/4'
b'gQItN08hCBOVIDRkiALW/Be2gFYbqHmKRDhr+hNSaCK2ZgjhZggQ5KGhIaPJWlFKucQuLy/3'
b'9PT09PQA0NTUVKlUKhaLRukkSYDQmLijA6213rLv8GmariwuaK2NkaxWadMCyozAMCu2AbL5'
b'hgjZ7H7HJpqJW+e8WT5lnjytbaj1S0NFhNhyvGze281/Z9OYgGdtFQYsAhzumuZpz9KnMARA'
b'4FBatmqMtgsEIXQELID3XlBaJQkDtVO0w80iIdMAMOEYGIAISAEICq1N2AXCxWx9XevP5qPJ'
b'rAAJBSSwaEU5rRSSMLs0jCAwNFnSNNU60qRckzMj3gc/eGYnJFEcb9m+o6ujc+r+zK6NW0fi'
b'omqwraU9/X3lWnV1dXXT2Ma5hfkolxsaGrpx6+bw8HC1Wh9YN6S0vnbt2p69u86ePbtv9+6O'
b'7i4RnH04X+zqrDQqQ8PDWuuLF8eFcf3GkW07dzyYm1+tlLfv3HbkyOGhoXX79z5y7cq1rdu3'
b'5y5d6ujqjKIoiqLBgZ5GozY0NNQ38yBf7O55+BDjuNhVBHbee50r0mp5eHR0fOLqpiefEoTO'
b'TVvGOro6N62KyI0bN2x3T2FkeHZ+jvr7+7dtKawbLBFev36r0NM3vbCg+4eW2A1qKvR2z9aq'
b'thDNriz39PXemH84YtObc7N9mzfGCDcezq4bGqoAp5HhXHxvYS7O5VJUHMVYKCTCg+s3WqUa'
b'Pql7W0+Tjp4uS9IzMDi6dXNHX8/y5CRGet3IcApc7O5ywGCUBY7zOS+4XFrtxu5qtR5IbrqQ'
b'M8YobSrViokj763WJkSOYJizWi6PbtjYqNVjk0NEQUw5DT27QGwHpExeF1gbRYTAKKSQBRlZ'
b'a21yuTRxS0vLLaSHeCciBEAKgCh0HLUhIgrGjLlcrqOjA5X21jlKUufK5bJNks58nr2N8wXv'
b'vW9rBbVTkQRJaRNcS0lFtVqtVk9yuXyxo4MlE1omMq24A4RNd0ZBpeO8jrRyLtVKEeiaMj19'
b'g51dfUSaVdixgYRaMKEQQ4AdAhOhc1YphVGktSqVSsaYjo4OpbPWCClFknnQUIbMg7CpEIq3'
b'lpkB2HsrzgbyAxGRMiLC1iGSNtp7LwF8AmCiSOXINpKHD2YBYGRkg47i8uoKADUb1RJFEaSg'
b'te7rH7DOLi8vhzQrpNGtcLZ3955rVydQIG0kuShuxRpmHhsbA4D79+8nSaIUhZKAAB9Mzwj4'
b'zVvGjh/P6hgAYPGhJcbOKwRN5EOK5sGljkgDS4hP4hlFvHdExrPEsUbMaG0AWRjSWuMnANPZ'
b'lqaUIkJBSG0SLF9AYb1WV2RC9z38xocPH87MzLz06y8PrxsZHBhYXFoKxqLWJkvLCwDQ39ej'
b'FYr3yN6naT5oARKBc7l8vrOrs8G+VquKeIVMqBGJvV9dKQFAR0cnAoDzpOn/5+xNgyzJrvOw'
b'c869NzPfUq/26uru6e6Z6dkwAwwwC0DAWEgQCsMwQACWKUeQcijkJWjKDpEUJSgok38clMgg'
b'wyIZNu1wWDQZJB0iLVMwYRICQAsaYiMpYhkMMRhgZjDT03vXXu/Vey8z73KOf5zMrNcDylL4'
b'BaLQU/W2vHnvWb/vO1qqJ06ZMwQ4Gg61m8sghh3BRq4AACAASURBVAyiSb42CJAaEjAYihUL'
b'JgARgiiREqEmrsAHR/u9MxuD0WBWzZBTz5hQBYvaihYLCCmRSM/Zae05xGjN0fg4AWxtbX3n'
b'lZcSR2FOzIKShBGMTjZFIKJTy+6cmc2qLLOWkBm09584GIIYkyOjaqdJVX4BqxBYojADMhEh'
b'pxACA/jIWiBU7+hc7/adOyurq+fPn79z547eUNUG4yTOucThvsv3g4D+FYSE0bpsXpdFUSic'
b'AbRzCMLMqP0xTgiMwgQIhL6OBQOyMCfV9tC52i3+hzPndnd2YoyPPPLIZz/7jB7c1HZ1ld+S'
b'mEUABY2xmixxTDEE2/hKas67acBnRHT96jUUuHzffYhinZHEiJgCxhhBEgC4LN8+uyEAWeaG'
b'S30EHUqAgPLKyy9vveOtq6srBwcHIkyCmSXPMcVgwDzwwAMiIIQMYgAlRWdMCmKBAEBxcZub'
b'6ymFPMt9SIQYUaDtKrz88sss8OCDlzX6BEm5oxAikcTEjrg/6J0/v17VcvXqVRGxzgFLllvm'
b'SAajAFrTZjIR0AEAQrLEAqAtFOFosEE71MEzAhCgxaCzVogC18z83DefP3/Pex99+KFvf/vb'
b'KVQN7sK4lCSzLsX66be8SZh1YHMCicIhxsxaAEkpzec8GORLg/50OmeJFhNYCElEhICBIXAU'
b'VKQQC4fcZMLIYBLzSy9/JzA8+MjDltBHD+IMYQgBSVJCa21/MLzn/Np0Dteu3WBuVNWISCSx'
b'JNSBf01tmxILCZ7OdWFAgMiJDMaQ4FQAAjrxdQBAYGsNoQ0JmDkEyLKm5ywhQWJu1hC1/JMS'
b'hFhnWWatQ0Rgk9k8xjifV+TRGEP9HjUpekRgEbEOADimACiZyVMCg8ItFgUdskgM3hhD1ik7'
b'VkS4Qdsjs6AoHqbp1asXMIYQIMSoZ5awkfRQpFujlieNGpOxOgRTQgrGOKuZMzMhkjHqoljj'
b'UEQA1nnqJMKKdCdsQ3Ng5jzPn3z6qfWNzbIsNV00CMLRWRNSnE6n/f5wY2Mjy7LDw8OTk3EK'
b'vt/vG5cJAJJ1OW5sbQ7K/tHRkUiqqkoi586IkHYRleyKyAAAiYmIGyPgyBAgCJ5iEQUBCEPy'
b'zmTabLSqZA1AihnTEP80k29yJ9OW8pnZLHSqUVhAjKVGUbUbvCjAMeislabVkNS0snIWROnI'
b'YJKwgggSMxAq/ws4EqCowngz/7dLt7At22sOgACUBAgYgEUIEHyEGAQICSDGhERRBMDE5EOo'
b'MxTNflGdN4C0qmgqXarvbABt5Mya47KCQqiXE6EkJkDvPTMX/R4Qeh+UCRpibUy/nM3sEgFw'
b'8mE+r4wpz91z6WwxevJ731eP58OiN5uW65tr/ZOT/nS8fc+Flz7/+eXVleU3vhEsF/ff5yeT'
b'3taZLCvu2d7INzY2nDkpCt/LQh1Xz79JBEcSqd8PwptPPI6IVV1VK0MhobJfLw1Gly9Rb1gu'
b'9V+ZT+RkfJKZg8nx8srawe7tx5b6J5OT/tmtg1j2Ynbt5AhKu5WRs1iX5dDl0xTnkpbW166/'
b'/OpwOAwsB8fjK9euA5nz9943WF4+GR8NRksh1FdvXDeZXT+zdfb8PdevX3dZD6xb2dj0LOPx'
b'eHl52Rizvr5Bxly4cMlau711RvfA9va56AMAhhAs0trGJhj78ksvpRCrk9nAFPuHe8sbK2hQ'
b'yBBZBCMi58+f/9y/euaBywfGWpiWr7z0nTv7e4XLHnv4oRSiiJS+Tgyrq+tF0d9YpZPDYxJO'
b'KQFSTLJ3cLC6sdbvZ2QlxFI39sr66rQqyZrBYDAbj1PtgwQiNgSG0ZGJURgRCIQDoFBKoa6b'
b'3KLhvQmFyLd37uwfHoQQiqLIndPyDwEbaFLzxQdaY11O1nCrnDCfTqr5dGnQK7JcFSds1mi5'
b'oCFyyo8lAQQkNLkiZckaEZjP53XtdfsiIpA15NDY7n9ETeOiSUesQSBrLSQuyxkR9YoBADGg'
b'IDFgSuJTTByZOYGwgh0NIZzCivI8V6/TXxrmvYzaWULNBbYFie7asWX/aNdex3v1+/2iKFye'
b'aW6TZYXa8ZRSFJ2CSyrloSoQL7/0krX2fe97X8cZUGyMgmR+4Ad+QEBUnhyaaUcNHEitz7lz'
b'5x555BFVaKZGAx6NMVtbW9/7vd8LIs8++6y6IU0tvPeHh4dXr17d2tx68sknVWQptRN85RQr'
b'EmOM3gfn8hi1Oqt8L1ZgTJZlZVkqaIQZOlxHs0oGAMA0XXNuiysqwdGYbAUyiYgWOLsqlDFG'
b'6bDTyQl0XLB29tl4PN7Z2zVIb3vb2wg4VPV8OiFgToFTcMY+9cSTAnD9xo06eOYkIorQRcTp'
b'dF4HOLu5vrq84pyr5uVkMoneI0sM4cK58wIQARK3MO6UgLCjZIQEhtzp3ae2cKRZEfONGzcC'
b'wBsevL/f76MkScFZaupHLJCiI2MA5ydTi400ynQ2Ox5P8l5+76X7tfoizNzyTGKMsQWM6c+U'
b'kqTU9Z10AWPy+g8i4hSzLPMpGmMEEihtnshYJCKDgiTOOQHJsiwGpaM0RNivf/3rCPjUU09t'
b'bGwgmOBTjApUJmPMAw888PibHmfmb3zjeWohbfP5PM9z/SaAqNV6hGZOBQobY1LU4RUNiL+q'
b'KsUTarl0sVilyzmdTl977bWNjY13v/vdXYFgseqs2UKWZYrVCSGohIuSCpqqMDYtBYGkINfn'
b'nnsOET7ykY/ogW3TUcrzvN/v//AP/7C6xizLlpaWuhne1tqrV68CwEc/+lFm1hZEUy8QKYri'
b'6SffwgDU6oFpUSN3Tsetv/rqa8zwtre9jYiYI6Foh0yTkyzLZrPZl7/8vHPwoz/6o9aSMSjM'
b'ysTLrOn1i7/3d35CBP74mc9XwRtnOTWDaZs7jqCqMkmYBdWGKC1VAHxMxhiL5KwFEYnJGBNS'
b'lDaVEsHaR0IDhM8887kE8NGPfuTBBy+3ykbNfAbv/Tvf/o53v+ediChkyBpB1Y+yxhgBRDTf'
b'+ta3cgtvf9vTuTXAib03BnPrAMAZTc+JAQM3wPeUQuIAAIbc3sHhn/7Z14sCfuInfsw5YwlC'
b'rLPcWiQRcc597GMfE4BnnvlcVVXc4Ey0qWWoZXQkbVqyGGgKDY5MXQfrMm5h6zrNd7FK0kZd'
b'IJL0YvWw67WntjpOzfw1SCDMTdtZRLTqr1m0WlFrbV0HDd/A2KJoYNbqIKTtVqmzsNYSNKBK'
b'bd52IZoWYnWLMrO2cI0h3VcGyejkD2l6y8aYTv5SaeIAgJKcOZWqI2g8HRGZhggB3V+lo8yK'
b'pO48kqiIgnYF1I+bVinrzJnNs2e2RqOlLHNVNZ9MJr4ORLaxnz5Mp5OqnI1Go+3tbUtmOp1W'
b'VaVhhnOu3xsaY/r94dbW9tr65ubmmV6v3wldpHaSV4ds1y/sXE7GxSSqn9P9qcFNtYvWPb/z'
b'3bzACpD2AXezBbpYvHFnbQ1dKzDYPtp4fYGt0bIT9HdtxeYuSkDDBGMGZmARUAgCQIseU7YG'
b'LfxGw3e46zeYBFFIU4tF+9m6jtNLu/tB7YLY2XR6uHMQZ1XuMiJS/kCWZQDkrCWiWVX65LMs'
b'Y5CQfJZlyrDCtouSZTbLsmlVH85nu+XsWzu39xFeONo9zu0diTsp7CGPcwtrq7Neft3PD0j2'
b'kY8dnTjzzds391J4aX/v2BFtbg4unL9dznfq8srBwVFKJ4gv3bn92uF+6OelpeMUxsF7Q1du'
b'356kMOV0e3xkR0um389XV+zScLR91vQH+fJyNMb1B1gUw431YmmlGI1MXkiWMZkqBrDm9sHe'
b'YHmliikhuF5x7tKl1c3N6zs7t/d3I+DRycRkbrSyPFxdroLf2z8cDEd1TLNZef3OrZBiP+/P'
b'JifBpxjjdDp/9dVXU+CDvUNLDhH39w+dc6ntwh0dHVXzcjQaWSRrbZYV29vbQAAGt7e3h8PR'
b'eHyCYKbT+UMPPdRfGoaQhr3ho4+8YW1tTQTLsp4cj3tZbowp+r3j8Xg2m+3e2eHoCRBZVBRu'
b'ZXkNEhvEFBuurIhMxxNrqJzNfVn1XGYACUXzVRFpYe3IQIzACKTk0bIsvffz+byqKhGZnUwP'
b'Dw/V5+V5rkNROs07SLy483RGaWcNUwreVyGELMtWVlZcnjVgRI1coaledIFsd65U5EQ9uqqb'
b'qZXsjjSiZi4oDMIA7fREItJ4IoRQljWQVQOq+1UDpi5muitvaYN4IkJD0/lMSYrOuY5TBQAJ'
b'JIEwwuLPhcPQ4H+stR0BQP+kAm28MIyQgPPCZZktiiyE8Od//ue3b99+6IEH3//+958/f75D'
b'Qi8tLX3wgx88e/bs9avXvvSFL0onOkSkYGiNUEMIf+Wv/JW3vvWtHZ0RES9evPif/LW/NhwM'
b'nnnmszpEaRGGRESf/MNP7e7uv+c973n3u9+d5XniRhQsz/P3ve99f+Nv/k0GMsZaa30IgBhT'
b'Ag1DW6hPCGE4HFILtezw2a13T4v2tE0AmsU0SLlraKAPPfTQB97/gb/+n/7Qme3NEGoiCKFG'
b'lO3t7YsXL1Z1vbe3p5tKmIP3xpgvfOELR+PjM2fOPPHEE/rm3vsQwvLy8lNPP7G2unzz9s6r'
b'r77m65ASIxgGMsaBUJYVWnB9/PHHz507p34XjQFD991//wMP3o8ACKDQ3q4VrvkbEVnTAKYX'
b'3UC7hZAZqqp68cXvCMDjjz++trZmjNHqvbX23IV73vmed69urPvEJsvrGFIb5T/3F9+Yzuf3'
b'X77v4UceFYBev6/WdjAYPPnkW77vvd9rLOV5DgDYcKkZhTkGSRE4AscuG9StXpZlZmxoWGWI'
b'ApJO9z8ihhAQUFLo5Q4ANIL33u/v73/yX3zSmuyjH/mrFy9ejDEKUFl5RHzwwQc/9MEPex9/'
b'53d+5+TkpEEeI8KpEl/UTC/GqGmHTjAlImOtQsmLoih6mXPOe0+AuctAOarGNEpT2My5/PjH'
b'P763t/fe9773fe97HxE4Z2KMRVEYYz760Y/+5E/+ZJZl8/lURRW7DLzj1bQksNNGWZ7nv/9/'
b'f+LajZtveMMjH/rgh5eWlkyrn7ixsfFDP/RD99578ehoDG2qqbGanqmvfe1r+/vHjzzy8A//'
b'8F8fDIbGWOcyRLx06dLf//t/f319pNvctNTDGCMD+BQjp1defXU285ubK//+f/B+46wOADEG'
b'CUQpo2VZ/vqv//pLL1978qlHf+RH/6vRyrJorY9gdXX5Yz/5dx566NLzz7/827/926blmAJh'
b'kqZhAgsjkBGxqioi62PSgLVjIuneiMI+RSQrAMbZeVWHGK21IaQU4ZVXrvzqr/6aK+Cnf/q/'
b'/Z7veSsiGIOJAwB///d//3/zYz9yeHQCiMKUUlI4iW4bDeaee+45EfjoR/7q+fPnzYLisFkY'
b'lSoilkAEQ2zOUQLxKSLir/7qr7748o13vP3JH//xv7O1tZkZm3zgFC9euOdjf+/vPvbIxWe/'
b'9uJv/dZvxRidy1OSyEA2S4IhpsDAQMaeSo6KnGouxxgBwZDlJETWx1N4PQCI8sHICBJDA4/R'
b'+x5j5Bh1F4EhZTl37k8FWHSraNFUt59zrtfr6S7SlTc2MzZLbebjnOMkvqpRYNArer2eJbSG'
b'DKE15KwxhOrhEDXQa6rW1GjFw6nDQkQA7mAwCwiWJnMmC2S119p42AWFUElRUgRgReGiThtW'
b'Y6I8txY+BM1HQVpAGTFzL8/LaoacNtZXh4PedDo9mZdJAMkQmizLkGU2GZfzaa/I1jdWe73e'
b'ZHpycnISQ+CUfF2HyMZm/cHSytr6YDjsDfpkHYMOBcPEUHufmFWvG9HoGD4UsHQa5XdXrf+/'
b'uOdPo+dFTvB3Yfrhu4J7fSwG098V/ePiL/HumQPf/SZdcvVvDtD/7Y/urbr/TAspUId9+u55'
b'TxrqQZspGWOqebm/u3tyPEbGzLrcOg3qUkpETeKqpzjPepWPdUxCxqdYx1DHelaV86oyzqKh'
b'rMhHoxEZHK2MknBW5L3BUhIcn8ym89JHdnlPx0ORcSHx9rnzNsvXNzdrHw6ODvf29ojIZi4r'
b'ci03W2t7vb41WYwxt06jGufypf5IYx7v/dWrV8fj8Ww2Ozg4CCFUVSUJyvk8hbhz546v6/m0'
b'TD46skQ0GAxC8Kurq7PZjKyhjOZ+fnvn1vhkfPb8ue3z59jgaHWlDLEM3qdoM7e0sqxiKllW'
b'PP3U2zS+XV5e7vV6y6PVIuvdf+/lDN3G8mpVVUS0trY2Ho+NMa7IV9bXtIR0sLefUqqqysd4'
b'89YtRJSYrly5cnR0tLG2TkR/+q//7M++/JVZWaF1+0eHr7zy6vHxeH19fZj3VpdGHFM5nU2n'
b'07XNjTzPt7e3VXDcEVKSzNhyejIaDIkBGazJUhKHdmW4XB5PR73BqD+Yj6dcJ0oC7dTRxb0n'
b'AIJgtSqg45db7G+mhbp+v9/v9xFRZdcIqUletXnVngRSYSbkGKPNrEYhIjLoF1p6wDZStEiJ'
b'JcWELIoQV1Q9oFZnyPvq6OgIEYfDoc4/I2cRDDM3aMh2BEnz0YCAyCkBSgh8MitDCP28J2pF'
b'BVOSFFUCzegwBdXeImYQYgjNgWGZTad17Qk1XpG0IGN/V7bTXjW2IOauIqWl/RACg2CbaHQw'
b'ZR2Zbi0xc6q9vnw6nX7yk598//vf/8Y3vvGxxx6bl9OdnZ2trc3hYMgpXbt27VOf+rT6Ei3h'
b'E1GWW27lPv/gD/7gySeffOc73/n000+3c1vP6lf6wuc//+d//udqB4ui0O8/n5fW2rqu/9k/'
b'+2c/+IM/+Pa3v/2pp566devWfHayurq6sbFhnbt54zoryqK9RrVu2pNVlaS8V4QQAJt6UiPM'
b'Ko0ce9HLOyblom6DLgg3Am0yHA6//e1vnzlz5uGHH/7whz9cz8vd3V1EXF5eHiwtI+LnvvDF'
b'5AMjkGncloY7f/Inf/KOd7zjwvnzP/xDPzSeTA4ODs5fvGCMMYC7B/vPPfdcHbzL8kQgLLX3'
b'+SB3eeZrf/P2HWPcww/f+9ijj9x7331V8ACwPFpyAHsHx/1+v+hlDUpBkJmdNexDQtXFgyzL'
b'fAwMqh3RXHtbVqGU0u7uLiE++tDlNzz2MApMJiUA94YDZyAkViy46nBrt0cL289+7etPPvGW'
b'ey/cc/78+cnk2Hs/XOoPeksAcDKfQxvkqf2GZoKjt9bqGdTwmmNCRB1XxABONVAa/Co2UGCN'
b'ian5wvodRCRGr2IIL7300h/yH37wgx/80Ic+xMxXr17P8/zMmU0N0D/xiU/cvHmTiFJi56xW'
b'MdWgLLpbxCap6ITDtUKf5flsNivLstfPm6HjfBrIWmu998aoKhH8xm/8xt/4G3/zXe961/d8'
b'z/fcvn374OBoa2tre3ubiK5eu6Z1RL00DTe7G9H95I6MzhxjLMvyV37lVz72sb/78MMPP/qG'
b'hyeTye6dvXPnzuV5bgx94hN/cOHChbesvEVEQgPqg5QSGajr+h//43/8Ez/xE2972xNPPvnE'
b'zZu3yrK8cOFCUWTByx//8Zfe9Z53xhgRjPd1Vji9O9oTYI4///O/8A9++qd+8D/+gb/6H/3A'
b'eOx///d//1/98ec0RfHe93q92Wz2i7/4iz/1Uz/19FOPv/Xpx3d3T27cuHH58uXl5YwZvvGN'
b'l37pl37JJ5aYUpLECQOTzkuxLjEgqm2kGCO5DBHJOJ9YAFqtTOB2rYiMooGVzUJIdfDOZYkD'
b'GfvHf/x5Y8x//bf+sx//8b9FCH/x/Csmyx596IIAfPvFa//L//w//Y+//AssSGC4zZCtswap'
b'nM8/+9lnLt97+fu//3t+/ud/Ngpcee3mf/ez/7Cc11mviNEbJEJDRHwKwkY0VqK2qqCs/T/6'
b'hz/30z/zU29/+xP/3tuf2NmdXb322gMPPLC+kieGr37txV/4hV+IsSGZOOeKolC7aowzpC1D'
b'mle+KPqqcJIXjiN3sNcYYzffG4BwQaEY2mBOz1GXtGhLHBGLLEcBHR1JZAElJRGJiGQtabc2'
b'sw47tYzMzedTH+osOutsURTcDIWIiKbILaHpTEHOnFJSsTudF4GInMS33G5oJLmlqyLxQukX'
b'2wktLTIHO+OgR1uDwoVzwd2p0WQbmjvSrAYBaI+3K2+3S2TIUXPlMSKiZua+rGb2qN/vb2xs'
b'IKL6oNXVVcZE7bT7ej5j5qIo1jbWDw4O9NK0cNY6DinyfvSBmYGRmWPtUxIAbOS/2rRHmFNK'
b'5KwCFFGAmVNkECK0IpBS8iGY1sukVk4whKBllM4Tfbc3X3xAF/3D613///fju1WANIxWIlmT'
b'q/w7vlf7hixgEEFACEVUJgi67kfzVUEWe6rc6T3pb9qPRCFInJkMWKKPXmB6NDbMw+EQRCxS'
b'bl1FofK1NZkjR8aUZZnlmXKc+v1CJ5xmWWYdVdUcoCn4MsfZdALIdV3v7e1tbW2NRqP+cMgg'
b'0+kUDSlMgAzt7++vrKwcTcbn77lnaWkpVTqLBouiGC71fV1SS55Ur5p8QJb1ldXMWmfs5cuX'
b's9zec889eb83Gq0wSEw+yzIyMBqN0Nrz22fHs6rf7ztJ+/t7xuUHh3sXzm/P5zOX29nsRESM'
b'oeWVlfH05PhkUpYzX5fK1K+qylpbez+dTp1zs6ouy/JLX/rSE0++eTQa3blzey1thBCyrNi5'
b'dfuhi5dPTk4Gg0H0YXYy3draijEeHR2Nj096vUHPmO3tbUTMssI5t7KyIswouL29PZ3Oj4+P'
b'OaUHH3yQiJzNj+vxaLRsrNsZH+7t7c1ms2o2N2AMuaw3PDg4WFtaPd7fQ9MI7uV57n3ly0o1'
b'3AxSDMGgAaCyrDUbsYDqiEkDAGmEAhA7Ig8AgNVCuzoPJNO1HVdGy3meEwDHSDqeEJkMKrOT'
b'VFhOC8VZRtaQUeoYqrw6Ilr9WtY411BmNQhMC2IaXfZMJMw8m82Oj49HoyWN/puzyiBNGQKp'
b'7V12AaVPgZlzZ+fzeVmWSNa5XE94SqnB/hlDgKQkIbX+d2fkIcXDw8M8z4f9fp5nws05tdaq'
b'YJksSG7ppwsqTtsmEZ+iyVze72kAYYwh0wS7raMymbFEZGw7X12EJZIxVVV9/OMff/Ob3/T4'
b'44+vri3ff999nNL+3t6LL774jW98o6rqLMvKutTErK5rLeeACl+G8OlPf/qNb3zjxYsXL1y4'
b'kGVZ4nDr9o1nv/q1F1980TUjh3WKuyEixSZxkvl8/nu/93tPPPHEG97whkuXLgHwfDa7ffv2'
b's88+++qrrzTNAgFn85SSwl2uX7++tLSk2pG6CO2kJO2rwM2bNyeTiUBS9yaNmht0MWJXszHG'
b'WGe890DmM5/5zAsvvPD000+vr6zed+99iVNVVdevX3/uueeOJ+M8z8FYFUTS94kxTqfTL37x'
b'i/deuHj//fevjEYro1ECOJ6Mr169euXKFSRLxgYWQmOtswIhiQMgsohw7cb1kPzm5uZoNFwZ'
b'LSHAeFbdunnz9rUbjz766BKP6uBTM5/MheAHRS7BT6YnxtmQorTbn6UZu9Ol1CJirL2zs1fV'
b'4eLFi+vL/eXlHgLMfdrb279y5cp8PleHl2VZCCEBKjW6Cv6rX3v24qULZ86cWVtZBYCQ4ng6'
b'vXr16t7uvjHWK/2GVIYvgaRQx+QyrQImVUdJXJZlYW1VVTHF3d3dGLW8Z5DEJgcAktgZu7Oz'
b'MytP9vb2jDFEkBK3x5atza5cfe3//Oe/96Y3vfny5cv33X+/gHBM3/rWi88++9W9vT0BSsK5'
b'y+ra6x2pqqrX67322muj0Wh39461NsaguYFGUdeuXq3q0KUKiUMIYdjv7ezsVFV169YtbDsJ'
b'xpgYPREF7yPib//2b77jHe947LE3Xbp06dKlS2VZXrnyype//OWXv/MqIuZZ1uJYpBPbbStY'
b'jbWBBv4MKsUzmUx+8Rf/+w9/+ENPP/30cDi6/4HRwcHByy+//JWvfOXO7o6IPPTQQ3fu3BER'
b'n3xIgSy5rCjLcl75X/qV/+E973nPww8/fN999wDA8fHshW+/9Pu//3EAePwtb1EOtx5PADLG'
b'1XUJKHnudnZ3f/7nfuG9733vG9/8+MrKkiBludOTCwhRWAhLH3725/7RBz7wgXe/+93nzq6u'
b'b70BGV57befP/vWffPpTfySEmig6lycf0RrNnq5evXo8qV988UUiCjH1ekulDwmEIV159bXD'
b'4/ratevYEHCicRaAQPDZ554HssfjqQBFTkTEDDFA5gxLeOaZzx0cHPzARz704IMPP/7Gy2UN'
b'X3/+lee+9uwnP/lJZ+zLr965fv26iGTWWaQYY/QBnev1eoDyT/7JP7l69epTb3vrQw/dVxSF'
b'iPR6vToGFImSLOGzX/v6gw8/dDyeiKBzpg4BUSVzogAcjY9/9h/+3H/4gQ+8613vunTP+pmt'
b'x1KCV6/sfPazn/30Z/5ITW4MbIxjQd1RAPjqa9f2D+sXvvkt1YFV++CcSynlxlpHL7zw7e/7'
b'vu+/cvUagokxOOf0qlVABe8eNdXFf7qvFDOJiM5YJMOSmFlR241BQ8OSJDFkSGSYmUEcQb/f'
b'VzU5R0PnbJQIxqaYSMBaUxSFACeOkowxJrPGe69IWGYhQiaqPcd2JyMisEAbOOLdkygJQbD5'
b'TyISQE46j8wQGSIBzQ2oGT4lopYQXWaZGQSABVCwIaSKbYRABQBYySrYCeygMZRSskiAjAJ5'
b'ZqvptK7KtfWNjY2NGPh4MubD434vt3kGAIZQUKpqnlLqD5a2trb29w/L2TyEsLKyQsaGoG0W'
b'7PWHaJpBuCcyqaq5RWrGhLGK6TZ9D9OuQNOKbEfaqS44M5u20qQhDik4VoP+BbSPei7TFi86'
b'S07tDN3F0Ln762lU3RJwEwrh6zKm05eI4OtQTP8/HiKC2ACLuuvCltKgzAFNzESa4mzzDRda'
b'BCIowoaMJUMAFolF5tNZ8qGely53xBJ9qMuqGPRsloWqSVPLsjQ2cy3SodfLNTrPrONy7pAs'
b'ksTUd7kD6Pfyza11SeFgb+fsmU0Ezp1J2z8oogAAIABJREFUwU+OD8+fPZNS3NzcIMJBUZxM'
b'xkjQs1lMXhjn8/loaaA3bjo9WVkeOjIGKfoAAAcHe2fOnCnL8sqVVy9cuOfVK99Z3VifzWZl'
b'Xdnz24ycJE6nk6wvt27dXN/cnk7GPYMrKyuYmfXNdZZoHcVUra2vMCdE4RSKzDqbra+tzGcn'
b'zlkC3txYd9bmWdbPi9uHt5llc3P9TY8/BgB1XZ87dw4M9fp57eP2+W2bW+Ps8fGxKlMf7O49'
b'/ODlwWAgjN7Huq53bt2mNz8eowqSJYOmqquD3b26DmfOnQWAGzduHBztJw7GmBQjObu2uX7f'
b'A5fzfg+BE0iMkatqtLZOFrNBr9oNEcQZqjmu9fK1M5tKcsOUDJNifq3Ldw+uXbjvkgUa7+wy'
b'pBBCnhuDhqHJ+RHACIsQAFsN2W3eTGA1xhwfH5dlWRRFURQoEkKNAICNJJkBbLhBmgZYY5w1'
b'xpCxee7qGOfzeWoTbg7MEmyWp5QQIhmdH8ko6pobJoCqDnvvq6qy1miIKSJoDXx3snv3UUTU'
b'QgBrDDEcDnu9HqKJDXOXNOwGAEmxkcNSdHjDcBe9uzHGlZWVYX8AIJICIqpg3GIlpvtoXCj/'
b'a7W7KAoteGA7YBgAgg+alxtjnGvkxoAbfpL2jkOIdV1/9atffeFbzztnETHUHZgqZVmu832b'
b'UlOWxZgUfK9eSl/77LPPWmv7/f50NqnrulFt0jVEtNbG2BRvAADBENF8Pv/KV77yla98pSzL'
b'0dJgPp9rjh5jREMWiYhiSNZaxR/+6Z/+6Re+8AVE6PV62q/R+I9Z8rzHzJ/4xCd8qDpkAjcD'
b'416vh0BkoB3vlQB01sGtW7d6WZ5lmZIlCC0aUo+eYuzakYhYFIXuk+eff/5LX/rS6urq6urq'
b'ZDbVSrB1jgUQwTknAHUMze0jIsS69pml3d39nZ2dyWxKFq3JnMsRkYx94dsvAlFInBe9OoaU'
b'Ut6On3vx5VcAICHpyn/3PlSvHEJwZA4PD4+Pj4lIIXM+VCk1POkY9Q5qCU3j1KRtopdf+s5L'
b'L74MKM65ui61je/rAIa6qiQRCZAxhtumELQ61pxSr9eDGEOo/59/+Rlm1u0tEllRpwAggoh3'
b'7tz5p//0n7ZDZFjTEiLK8zzGOJvNbt68ee3aDTX9ABBqDwDOGQVNaUiksDdSHVWAz3/+81/8'
b'4hd1Q3ZpXkqJWX73d39XlchSSs65+XyeUooxHhwc/PIv/zK2zAGN49vYC7Wr+8wzz3zuc1/Q'
b'zy3LUiupLiuKolA8WAzRtDNQRU6rpNY0G0Ydp479Gg6H4/H4j/7oX375y1+1ljLnZrNZChEA'
b'BOGb3/zm888/3+lr6c3Vi40xHh8ff+ITn9BvsrKycnR0VNe1onJ+5md+pqo8CxLpbTKaFQMY'
b'IltXs5t3bv+v/9uvGeOsafAhAKA6MF2aVFX+U5/6zKc//WljzMrKytH+gYYWxhhmDWVM5OSK'
b'nvfeIgjjdDr/sb/945LYWBcFO5VbZ/Jnn/uLv/1jPx5jDGy0gFLXNWHGDL/1m//7b/7mbxI3'
b'07UTICe2eebrKsuKFOvnn3/+G998XkSWRivj6ZSI6ipISh7iP/jpnwEhQBObqbeCoGVmAGBE'
b'+sNP/YtP/dFnEgsAJWEG6goxQObXfu3XBBWWw3VISiEIMVqb+bo0xp2cTH/nd/+Pj//z/ytz'
b'VgdL1XWdhA1ZICMMCSSztmvMqhH7kR/5UWYGNCklJFS7lzgJoff+L/7iL/7z//K/ACFEQ2QB'
b'iDkpE0kDIljAKHZoeLWZnUuSPM9dRmRFWJJGolanv+lrFbepiQeizfPcGprP55PJJLYKbISm'
b'NYBKFag1V8mdCy6IIBDWDNDCSsuy1DdnZmDp0trOH53mAKYJiDtbpMADBbmBAFDTamvniTUg'
b'IgBQBTFop9l079yYuDZeYCCE5qgSISGFWM/LKYdgDYLEo8OD4dJoe3s7K/Ld3d26rOzWeq6Z'
b'ByjysC5LKor+xtrqNMtns9lkMumHlBW5tdYYK8K9YpDZ3BgTfWJmEkgpxOidc9DqDTbrkFKI'
b'IaVETWe0uY/GGGxHFnTpnJY44+LYjgUDLqfwIZGGYnSaEEq7pN2rup726/0aIvxl4X27uxZc'
b'xt0BzN2PUz1ZQfjuNxSRpFJO0si8Kn1ZQFRh/PSZ7RftPkyvNSXJ854hx9ELokOSmGaTk7zf'
b'u3PrDgsuDQZ1iimEhhkTY5ZlhijFaHp5RwbQFpk6RAHI8hwNiaD3fnd39/zWudXllV5vICK+'
b'jnmeb26cMeQs4NHBwdraWghh6+zZwaBvAEV6jKB8SwBYXl7O87woCj1fil84s7nd6/Vy5+45'
b'd55Ztra2Ns5sFXl/Z2+3jsHPSjxj+sOBzYqtra2Do+PNtfVhL3vt2rWltdX9vYNL588RETDu'
b'7e3RY28oyzqEcDw+uXjhwng8PjrcP7OxWdf1jRs3L1y6yDEBwNLSUhT49ksvXnnttTc//rjJ'
b'zOHhYdbPjDHzst7Z2bl87+U8dysrK4Jgrc0HPWY+OjryIfV6g9FotLm56UPa2NxEa+oYACDL'
b'ss3NzboOu7u7ly5dWFlZGY+PACClVAV/ND6+dftOr9/fXFmrygoQ6xiW7CjFKG0YEIWtSJbZ'
b'KKnylc36KSXFvHawgtWN9el8XlhrrE0geVGkWJGznJpN1W1IRLCMJGTaOq7x3tfljIAzS86o'
b'IgmxMAAYUPlhYQFIBNpRasi4qKIT5XQ2OxkTIOUZx5RQCClERssAKQmnFASSNBokgggiaBXR'
b'7itCXFtbU4JsB7Fo0nKF/gN3tq/pexJIlLquUwr9fl+ViFS+FwlBGgE4aVtjOmiJF0I3DSwG'
b'/aV+v0/WpBTBqGyJiVHxQ41UBC6S9Ftb2QHo1dVpONJY4eB9io4aN6+l4xijLAgna3Siq6cq'
b'jZaM9qM7XhdKU5aIMSrTPHEQSEiCJDpE3YcKStZNgAKz2azf74XQtJKNafL4GJK1jaHXAzYY'
b'DCbTExUaTykZ1wwTAEQ0hIZIx16C5Hm2aIx0vG4MKc/zjhsHilZnNkgIqESN1vo0bjvGqL0m'
b'7W9o2tnYX4Q8y733qr4PhkROwfdKUNE1icLzuhpyOpnPXmdqQwjGOBYBaHTNEgcSAkIVbFL1'
b'qrry1LMJBBgLm3nvSRD0jjjb5EJE1hotNTFISFF1Nuq6NsaYtoXdWF6dTmrIx5jb3Cs1gshg'
b'BikJIKCEGFEFbwESc4yMKNYYBjHWhOA5hMiQ5y7EaLI200MQbRigMzZLsTbGGKNEao7ao2s2'
b'c2r0vAVSSiwpxigxESlrUEKomdkiKf9b0Y3OuZSa6ml3OSlKCKH2ZZZlhSm0uJ5SOpmGfr8P'
b'7YxbZi6K3HsfYyAiNFTXtTMNrN97T8allEBAKTHS4lBb6UOhNm7rOr/OGRYVGAXmOJ83ZV09'
b'eKkdDt0c3rLUXQQtG880MrWRmTmxtTakpFDv0tf9ukYsZn5W1zWw6MkNPgi2AGsAESmKoiyV'
b'WOycMyqNV/t4eDT2wev4bU6JmUPkLCustSTgvQdg3XUhhKzX1+J9SDF3zUgjZYEDAJLhxEgG'
b'BWofXGaTjwcHRwabkos+vygKH5ihSUgCx35eBF8RQTdiHARUBQGA6qoGk4iscybEpjas59TX'
b'nsiQywIzc7A2M8YEH53NfKwsmZCa7HQymSQRBOPyYnYyjTE6m4sIOcspMQIZQCIgSIl1ZpMm'
b't0QEQDEmlW605ETEx5BlGafEnBjIORuCMosYILqsqH3pjDOGQ+IYq5g4xkjGArPWgBGNtVmM'
b'CQBUeyfGUNcpMySsyNDGL6jglfdeJYx1Di+jCIMC/RlQ17ahlQmAgFGZLDwNNJ2x4sR7X4eg'
b'QbkwAHevEgQA1OmTTXkCAKIPKGCdtdbOZrME0u8NEgszkCUGMYh5nktMKSrVxOneZlCuXhIW'
b'a4mMYREVwURtEABqTNj5F25oNo2QLjODIJFh5BCj4v5sq7ynUS0zJxCRhAAEOmuKkQkJCUlA'
b'EBkRgIBZQOcDMAsiEZJxzBEXGH1klKIjksJseoLWra2sosCtW7eOjo5Go+Gw10cGJQhV9dx7'
b'P1paWloaAPDh8VFVVb1+v98fCGFKKctcZnKlAWeF83U9mRzHxAbAogEUUAsBDUIv3R3Td345'
b'tjra3c+FBehC4eaFWkRX/vXrng8A2IAdTl/7b368nj+w+HMxbMC7k4e/7EF/6W91xzYJsBZR'
b'BSAlFASxHQSosf/tpQFASy1OIpKgSf8sZgAYOREIgFTT2U64lQCLwdD0M+ccQ9LgO8SYGZvn'
b'eZNY5jZyclkmBquyZsIy+iqFma8iirP52upGjOnw8JiTIJgYUzktb9++s76+kWdFr+gTmbr2'
b'e7sHYTX0bBZjFITJZLIyXKqqKgZ++aUXHnv04TMbZ5hxPJ5ub6U7u3v3XLxUlfXh4fiBB9zt'
b'WztZMQw9McblWS+3DtGcTMq8Z2bTam1ta1pWKfrNzS3X63MCEjMZT/O8t76+iQzrK2vG9vJi'
b'OD4+GQ6Hmxtns6KwWf/++x4o8h4QTmbTqq584tWN9bPlHBCzLIPBwFgsBv2y8oPBgIgOx8dH'
b'4+PV9ZXxySSrLSOMlpdntT88PBbGvcMDMPTKa1fuf/AhchmCCWV9fDwpy/LM9hlmnhyPfRV6'
b'eZ9onFKyLj9z5uzW1hnbyy2HmuPq6iqicUwk5GdlijEzDaeuKb4bQxYNZrWPYDFBCrGeHB2f'
b'O7ftnAuESOS9z/JMQ4iISaV2ARu4GmnhXH05EdV1TUSqZqO0YECxziBKg9wVARHkdr5gezac'
b'c9Pp9OjowFd1F/M1bKQ2ONNihoHTBF35/nqeNf4YDAY6gEzfhBO0ip+nZ3jxpxqjGL0ok52M'
b'MKDOGDAGTStp8V1kfxJtAyNzrOt6OBzmWQ9ViotbkGtLKOwuoXs586kZUmOoWGeNCPVyOnQm'
b'tFhk/U1XqtSI1jrKC+ecbevEUd9cWwQioknCaZ9Xy6XQ5BX63RRF3TVGtexkWu4gd0qLWab3'
b'uqMWeO+7SUydM4PWwegF6iV3nyUiZBshcP0OXfTWIb+xraRiW22CFnreSV5Qy8PuHJgxpq7r'
b'otcjoijcrf9ikbiVHG2mSnVX3W05EUlteayDuoqIKtB3EHwi4jbmq3xN1nDLcmvzYWJm72OM'
b'HDj5GPQO1nVd17UyIPWq9XZ3deju5Ysro7T4bs/oPe3mHBuj2n/O+6Av1JUBwmaGMZ9mUN0V'
b'JWlr3tYi6lw86r5PSqfi0J03QkR1kIrTUMSw7q7u23alfc1sFUOvK8zMWsWHVuCciBb/2mEw'
b'NIPN84wlAjScQrUq+jW0S6bdLf16XS0fW4CffnMlIehdU8Y5tKKxur31WOm560D86vk0QQIA'
b'ZVdPT2YiUNd1iqJocrVpetNTFB16PRgM1BJq0qKZknYh6rruTjQA6CRsaolAKvCVTjVMxFqr'
b'qUVVVXVouDH66JZRq18pcua0va6wNyeMFkkbbrGV50LEOgZjTCf7Ya0FZJGE1vgYGITIxmba'
b'aNORc85VpSc0iKauvAAam6X2fjEzghH1EoIxcUiAYHxMIpLnea/XS4A2b0J8YwwAVcHHwNIQ'
b'XJvBKc2srraEQUScQLdEtyDMbKxtP1pSSoYcookMQJbJhMRknSCRdUCYBBOgtCZCd1dn2dCQ'
b'jvrqdrjaAZ3MqJ5SGKzNUkqq/Nadi+5W6rnoWrjQKurox8WOEEzIGoRxW0RvZfv1td0zVdun'
b'qqrxyaTrz8QY6+B1RJ2ICEftlHbWD1v0Wgfix4XafPeP7sxyhyxfUPLRlUkp1cGnptDWsO3N'
b'wjgd9c6dze8+ghaiXkHQWR8hslIL1MIYJFV5Usa8M4SS5pNx9NXKaHju/HYI4fh4MpnNfYqq'
b'RkoAIGl+MkmhHo1G66trIjKfzbz3eqc0u+sVg5WVleXl1eFwWPQGLs+18iKCym6PzKGzNsJy'
b'KjQnizahuzpYYE53Od5iMIALD1h4oEon/WV/+jc+5DR2lwWVoS4HeN0n/ju958K7LeYS3e+7'
b'j4B/e2oB1loyRuMu5RWZRu0JddTl5Hg8PjryVc118rOSYxKOwVex9hZJxcRTSlXlEU2eF2Ds'
b'yuo6oFleXU+CIcXxeGKd6/UH6h+1LHvmzBlrTRW8Juc6PmI4HC4tLQ2Hw5XltfX1dd1gy8vL'
b'F++7dzRa1lBhY2MDjbn33nutca7IB4NBVfpHHnn0/PnzS0vLs9lsPq8mk0lKMhwO+/1+Atnd'
b'28vz3mi0cnBwMB6Px4dHEnljbcNXIfgkCfZ2D27f2rlx4+bm5pZzbjw+ybKiLOtr125MxmNL'
b'dn1lNcuK0Wh0cjKbzas6hiRwMp9lRd/Z3DnXGwx9imfOnF1aGjDz5ub68tIIQGIKKLKxsbG0'
b'tLS2thZCvbQ8qmPw3qdQW2OWl5d7w8Hx8TELIuJ8Pj85Oamqal6VR0dHV6+8tr+/DwCqjnDz'
b'5s268uqGBoOBMSZG5pSILLKsLA0RkWPy3gth4CTIw2F/adQHTolDTFVMHtsKZksZVz5Us0+o'
b'ySeMYZHZbKaLTkSh9sBidWqPRu3MCEwgiKJ+san6l2WWZQhSzmfB14Yghno2naTorSVtRHZm'
b'pfFYdzdbY4zz+dx7n1lrrQNAY5wxTsEqnW1aPAAd0sCRSb5u1HvyQl0vMwgjSCM3v+gYOjMB'
b'LcjBez8YDAajpdgoxVFnQEWEyGrxicgKAhr1AY1J1TfsJnB14a/6A42fyNnYyneaVrWDmWNK'
b'IUZAVqIYAFgyKXpjm8kmHW+peZUANFw0YmZN9J1z2gpgPiV4QdsIBgAATIkZRHOhjrtJC3Nq'
b'oOVU4EKNhJnb6ZKNzVKfFEJAJGiGqjbfoTOvXejTGrjX67i18W6zATpNRiGpYx1j1E8xrayK'
b'IwOpSS00ZOwSGx0iptGH0YJZe3N1DVMKxrTtXZIEIgg+1prL5oVrwj5hIBMSJ/2CBARim6EL'
b'qKsAXc3LNP2Zzr5TK/qUUsMc13BNEd76UzU+6hiEkMjGyN1ZICIkEgAyDghdnqExKh5iXW5N'
b'hmCkiWksAFrr0Bg0RodOWJNpaVaPSUhNTmKMcZnR2NQYAyzASVJUI6sxX6/X08jMGJNntldk'
b'uphaCOhuU0qp8jWDpCQxsqLXkKzAXcAbOEX+NBFMExUJIAkA6xBxzW1Mq3vbEhZVubzZJyEE'
b'FVBv4/s6Rp9SSCn5EEKMXYKdUjLa61R/BsAiwSdhtCaDJtBp4BNZVjDz+OREgYv6hO47EzQQ'
b'JmutQcxbOa+GxkOO0Gr2AkKaP6gNVORxx2gEgKIoCE3wUeNpnRsdUqyqKvgIgMKQog5iA+9j'
b'VfmUms6Snu4ue+xiGj282sBZOEQGgBaiYR0WnnECkaaQ0Y18stYKkgCSdU3OjGwssSQhAUOA'
b'RpAiiwhamzGDIWdNZl1OxhlHaMBaEkmiGAOyUThwUgXDyELWdNGYAu4ZwWQuRSG0IKSKDrrz'
b'taMtjZKnBr6UGAAdg/WRQ5Ko8G8dWMaCiL6dLsfMSCRkEqDOYMaFaoIeySjASNoQjpyaelCC'
b'xKDjb1OrjsUJQFrWVmItdiGish5DCLPZLKVWbgtBEJCs2k3dw92HhrqqZnMDmGeFNc77OJuV'
b'SaQOQTulei+6PLY7PnrHjTFJGnPXLAsZsk4Fi3Ah+dR7p+e3Cyh1B5p2Utt0Og1JgKygYQRl'
b'0Hb3CFgsGeuM9m2RmtiU4LQD362nZjjQJgm2VX5rfA0LQZpPjqtytr6yevbsWU4wPZmH0AwM'
b'JmCDHGMcj4/m5bQ/KDY314sim05PZpNJjIEIGQGtsZlbWVtdXdtYW1tbX19XjLu2owEbIVpu'
b'490krEk7ShOZdHFCV6HoQKRqJXhBAbaLJfTQddWrzFr1QZ2JeJ0Xw4WMCxYySW6FetstfReC'
b'SJ+vJqWNatpqxb/tgS3QtLMz3U/uGBELeYWIMAJDN/sMBcCnmPd7oIup196GSQabf/hZuX9n'
b'x89Ka4xFsmRyl+WZFeZYewNm0OvnLkshnoynlPBo94DreHBnz5FxzvV6hQ914pjlDkmOjg6n'
b'5XT3YE8gWWtC9ER4cLC/t78zm01DXc2nJ7P5ycHBQQqxLMvj4+NvffubJycTICrL2f7+roi8'
b'8OILgeNsNiOivJe98MLzBwcH8/l8aWlpNBqNRiNG9imWddXv98+cOROSr3w5WlkeFL211VUE'
b'OdjZWer3rMHcmo311bPb25fvu39vb3c+nzvnynLWGxSXLl3aXN2ECPu7Bxbt0cG4lxWSpCxr'
b'Q8647Gg8mVX1rPaTeYlkb+/cqcvKAOzt3plOjh2CQzAIh7s75Xw6m5wMennwVZHZtdXlzNrk'
b'67oua+9dkQNJURTnzmyvr6w6Miuj5XsvXbh04fz66ppuLkJZGg2KYW9Sz2bV7GhyFJOGp9Yi'
b'GSSlR+thr0NlnDGGJidH0/Ehhyo34AiNIUU8AoBFq+pehsEwOCQjTanJUDtNFhfqsq1kJ+hb'
b'kKqJCZAhY4zNLABwSlneI6KTk5PpdMoxMaQOesHMhXPQluEX2cdmQR+zqqq6Loe9XhdLkbEL'
b'9RU6/UptzASNABGmdIqzR0QGBDTQgIsayP/rsXQsIjGlhEA+VHVdq8igiEBiFIPIhhwAquvU'
b'NeFWRrM5TK0JsK2lWIwAmk+++zQSNSNOUkid3cmyzJgWSYWnRaC7sYx3pf6NWQHUKq8WwmEx'
b'+7+72CDfVRWQtjmjVl4B4W3CQ4vxXPf9G8dAxC2qx6eYQHq25XUgkqIwW4wHnKokncprICKD'
b'WGzGSGt845xbnFQCrQWPMTpyp++/YKC1Yt3r9bqAiYhUOgLxtGDWvVYvTY2eJpwuM0U/N8YJ'
b'kDSxPxLpiBlQ78gdY57aUhDw4tItnpduS+Dd3qVzFd0W6gr/i8YdAHT59eZ2m4cRCC1iwoUk'
b'jdvhaxFEQBS1Aq0nSCkwtnDexJJYRLDJTFK3gQHAOafeUZqwDDrXpQXmbhlDCGBsl4Y1VcMF'
b'ad1uqZkZFzae7qi0IFSi1GFqxnsvJp93bQDdcLpXu6wGMcUY4W7/RwsqQN3V6Q1S2a/WIpn5'
b'PJ/Pq8HA217BICynNFDdXxmSj6Hz3Ck11ozTqS+nts2CYJzLu70qrS5Wt+W6R/faEIJtxsfq'
b'lKpGxL15DggCAQiiQVBF8YZzZa110oQUWmg/PZgAgkAMqas7IugEVxBsZqNJggaV12wqRCBE'
b'Qe74i4iIoANvTUqiODrFLiqNqntaZ1FY0CAkQdOITJBofgDAoNNWiYhgIULlhftLbRiqfEsd'
b'bMQiBhCAEBr2CpE2kBolSpEmAXldxLN4lGABHa5AGgHBxUVD7CCdIgILhrqru1syIuKcC23/'
b'lig3hMpH7Sodp9apXXTdrtbaoiiSVFrkzvOctCZNxhIJ25hSCIkBgZBEx6jfBUQxLR0Z8VTB'
b'k9tDh20i1H3hRXw5EWlMqPV17avr87WE0VknJSnqRrWmqfEnYQABsIkgMjBHRCPtqjYrD0Zh'
b'S7oXCASAOYS6mm+urXOCg6PDo+Pj5dEoyxwhxRi1pD6dTkMIo9HIObe/v39ycqKnoGnWNbM0'
b'7cra+v7+bq/X0/pFjBwZiNCnyAxAJACctIYizSTgqDlw0z/p4n64+7Hol7ugojmqoiG12s/X'
b'A3hgQYdQ8K73wdMb9P9y9ua/kiTJmZgd7hGRx7vq6HMOsrnURUEABegfp6AfBAggdHDFFVfA'
b'7gxnmkvO0eRMT3Udr+odmRmHu5npB3P3jFfds+Aq0ChUv8oXGeGHudlnn31WObSIarq+QzU1'
b'/lv/Wtd/fa3vtv6hVPVtPdtGWmckfFGAgZfhfXQTNG9qBkiGBpryY3o4PN7z0G12g1f8h4G7'
b'GE319Hga4rYL/c1V7Lru5vr64uLq0xeLNztzlxIAEE1Vb55d7Xa7589vzAxBhqFjxM8//Wx3'
b'fbkbNu69JLNnz258v3zyxScJ8v7ywkA2m+HZsxtF+dFPfkxEw9AnWQ6Hw/Pnzy8v91ntuzev'
b'3rz5brfpUY1MEeFwfDiNt1999RXFMD/cI/DD4yN9+fmnn3/2y199MwxDNn3//v27u8fHw+kv'
b'/uIvTPNvf/vbL7/8/OHu/uuvv/7Jl1942uHbb1/96IsvX7+7jTH23QAuKhIjd3G3211dpRjj'
b'l59/EZhV9dNPPj8dHsDo4cPj5uLq5ctP+zio6jQuIDqO43g8fX59Iz4yJoQGou/fvvvn337z'
b'Zz/5CpJ8++23x2l88/r1j7/4Qpd5iyFmO7x933e7F5+87CKGF8/u37wjz0sBgkIfejNZ5rnf'
b'dKCmy9wRfnZ5cRqG5zFcdv3d6ZjHQ0de6B4MJFfT7Sc9AAQk4qIGmE20MH3AmFCleHVEHhs6'
b'm16IIEQC5mVZOPabzcZED4/383SKfv4JOObfdR1TMAcSTM3EQAC0UqaRiKe03N3dAWh/fe3r'
b'2KnVUCjvRbvYe4SLKCIaeBM9M4M0L5IX4hhCMEK06qT6sgYF8wOgNEWE6uYAmkgax9EVCQAA'
b'kTOYmBZeKIIaAjKAEbOousRHwdoJxVRMOQbHn5hZRFG9Jo4Q0UXQOSCooQoRmWYRSZNBzcFt'
b'hr76CucIXkQQHSMvLqOqqmUiMgFE/Prrr83s9evXrojXDLrJ2ab4QqHAJoDAgYOiNi+/XapK'
b'rZd6405UK4UADmD6gUrkfSGL7AA41ARSv+6j5MNZKd+H1w9azWoqisVKGsCSUgxnGKbVrKYk'
b'FAgApNoUIkIiUT2N4/F02u0vkYKqIhATZ0c+ucJgiGiQTaCc9ARewJTncToaDNt97ZGu6iJ4'
b'xcKqE5+octzcsUNf/1jFwpljs+e2CgCgrT0AKeGnHyeCCAjWsKU22CtHpPg3ZuZKQUWYj4IC'
b'epjk28TUS3lWKeZzAFAwTPLAIzvCfc6biYgHISICpsuy1CYP4q/vQOWaaDHPs0ZFptgPulJ3'
b'hYoIAnr2I0glxdXl5OWDRETDMDgBXm06AAAgAElEQVSBKsbYRVfwrDu1ljHgitrXTmXfdF0X'
b'U1aPJwFKWNwa4fkixBJuGREwB0+JZDXmyKGLfeeM9vNpuhLKaBPh7pSKUGUYLGk2tIaeIuKS'
b'jdk2/eByMSJipByICDkQiLXkf3M3CUmyiFlwd0097C9bxmdfVyWYpYAJPFNKCpBzC/LJ19j5'
b'GEel2sUJ0BezAQC5W9DiKyMBM7ValWpFYBnAkM3AAAHIvK4ZREUMSspUJK2DNAEzMDRC9G6l'
b'TnFGWCEuBQtgUjMuC8arsMQM0LiGKorg/hwYiqM+WGF4qJ4WFqa71hF14Ryk+q/gZDMXsq/m'
b'viwtUICP0BAfJW2z7wioLzYv4o8xRgACGMfR8zOh7xCx0NaJiChLJqJAxVL4/hURitj1UUxV'
b'8/F4nOf5YrfbbodmG82Jl01ATyHnDAiRwyzFkVXVZckAgAHXFBO3S1a3fIVXoIUH3hwXlJYs'
b'YoshdeEpHRecBAtohAS5aGOcZeZd6sN1m83ALCuyma6fwbCsH0KXrIQsi4ymhi8/ec4xvH79'
b'6nQ6Iequ70oOygyz5rycTodhs3vx4tmH+4fj6THLstvtIuO4YIzRE3R9389j710Jy0YxUCPk'
b'mGUCKAWp/tg55444cAeoXqWqRXVacdU3AFbub9nyaxe/VEn6qjgb9hJ/rpaPv/55uKiBQaU3'
b'4vo4WC+8GgB8dP2r4oGPchH1FSTnQq00LXK3q48VWMrMjNBltVXJ+0yfl5NbYQPPGmsGFdFp'
b'znkJ3HXdQLWJ536780L2d+/vvep3u9u9efPmsy+/cMKFZ0o3m808z7e3t+Px+Hh/j59+RoiH'
b'h8dPX372h9///ifdnwakTeymZckI79/ffvLs+el0uhtPv/zlLz//5DkyTdN0d3d38+L69vbt'
b'n/3pV8si19fXm/3uNE8+FC9fvry+vmYTJgjMxOH58+f7RZkxeJ6ZkTZhsuX3b19tLjY+ZVc3'
b'V/3FxePj8e271wQYkPI87TfDT37yo83lXgnfvb+9vL569eqVoN3f3z9//hwDH6cRprHf9re3'
b'bw/3h2k8fvftH378xeeE8e27u/1ugxj6fjtNy9394/PnLy6unnXdFqjbbi6HbtOFPlDcdjp3'
b'g4wLpfQnX3xxs93++LNPf/Hu/X/1J1/N87zjcBmHOIkushX68urZpzfXd7fv+u3m/t1bypm9'
b'rI5IVU+HwzB0XTcEoojUI+Pp+Idf/sP89vX7nKbt9uHdO54WUgFAJhREIDQDcVOIAAChEalT'
b'Sr64ywlUGo+oWYVpvOSoZupTmiXD7mLouu7x/uHx8ZEBvXtA9R+s6zov0NLqZnnOAiuPHIEO'
b'D/fzPF/st2ZGDKUxQPGJHauG9dZ1r9E9g5TmaT5RSUdy6cWN4Ht4hf3XPF3tzg0ARDSP0ziO'
b'zBhjUch2b9XBMgR2IcXmBmElJbcEq98Hq+9CRFDlwyhwwBBCcOlPdo5ytsYeceZ0ce5XHZ18'
b'oJi4vTK00UMMIeacf/GLX/z85z+3mhBs49Pcl/q8RYUjMLvT6TYRKx4P1emEj4xjc8SKZw/n'
b'MwbcrmFOSuh1qNB8NYBSe1Rd+fPhWrKlBgIGkpdlmZfF2VM5Z4SCnTi2BgDEZ+a3FQdazSwQ'
b'mVnrYVwoxczMbALgacyVMwcrZNpWovVmBqKCoFawQERQFYWWI1YibvrcbkFpZbuxmnhcefBn'
b'uwy1H+1qXtqf65ld/64VDVo0s3ratzxvpvorKaUunl3/UpBjBo0Ru/IM26b22fT97jrc/oVY'
b'9cXXHjBi+RUfYT9lXQTav4KZ3Xfz0EjtXKPii8Rx7pY9gpoRmud5u91Sye2cCxXa+NiqdKS9'
b'IyLGGDcbfHw8QglmzCrO5/FMW7ZWITFvPaYKZhnQwGgc58fH426zYS5gamUJFtSgyB+lVCBe'
b'4rZrWv0JNebDCrIVKa7YGU30G3pzbDkvGKuZPVwxOgr04o/iyLWntnw1IQUC8WwG0hnhNitJ'
b'uT/OKF4te7KqHiJqAEjkmV5qg4/VEqpVv1891EcRIeCP7mxgKt7/m5rr7y+n1l4IVGutLjqO'
b'4JF2WWzM7FhNmz5cLeDzmqw/QWy6iOeftIloH/zIJBIV+Yv1b5Ub6w/czURj6AzBa0Wm07gs'
b'Sxd4TQ6pd1PvT09lBZZFS66WOAyq0zjPQ9cR7cGbaiGboRjEVa80EUEFjgFWyTf/A4oBXJUK'
b'VC0+kSeb6InBYSQBFZvnGa2PkdcHTf1kSbybmdQMoZZGm4ZmXPI0vlAN0MDpOq47WVorAAAg'
b'GYqZpOPxUVEv9lumz29v354OB8aLYeisMqDM7HA4qOrV1U2M8e3b2+Pp5HtcBbJp3/fTnHa7'
b'CzMbj9M8j0iW0yICxDEt05I1G4hB0pLNiIxdHBBxSWmaJq+zcrZV/l4SoO0LM1sT/bGCGn4i'
b'nI/+73neH2+Ep6EFPDXy/5nf/aMXfhwSGJZEvSGYkYEg+KquEn81wG6nxvpPX5chBCLWp7vA'
b'wJAIUb1SE4kYCCjknEDx9u370MWbFzeBeJqm4+mRYzcM3fOXz0Kgz7/8vB+6F5++XPISuuhO'
b'oIjkrN2Gnz97OQzDptv6+X5z85yZf/zjH7twhbi6RhaP2IdhuO67v/zLvxzHUVLu+977NvrC'
b'cEE2bxMEAGle3r757uZiu4kRDcbjod/iu1ffKYW+oyUwgoKJqYQQPnnx4h9/9dsf/ehHKmk6'
b'PL69vVuS/NlXXzHgNw+P15sNpXT33Xc4T5vt9uXl/ttvX33+/OW0zPzZZzSfwjh+vtsR4XXX'
b'28UV7C5+tNv/9Oq6H+dLsR9f7o/H4y6lzTx/cv3shuLFbvcP370KpwM/PMbj4e7Dh+2z58fH'
b'Rx5P8P72i08+6Y6P//j//ru79/c/2e2H+fTLn/8HjuHt27dfbnrY9sv9/bvj4df/9m/uP/v8'
b'+Wcv3i7zaZl//823lJf+4sq5nWbmoOo8zwTYI77+5l/u8kjT9PCbXzPzCXAZDxQIY0A4q1St'
b'F2FARE9QqmqgICKw4m+oKDZ+c14oRsQicLGoDP2+7/vxeHp4eFjGadMPjDB0UQymcfFNrqpc'
b'MOyiSIhQThxmnsYl57zfb7fbjYEAcAiBQ4eBVdUZiZ42zaZILmxdTJsX7y7Lst1unZYAAOWE'
b'A1TL9Z2Vy1HU4G01FTM5jYecl8vLS6DSJgaBEXM5vogAIpqzBgGADERUzZA55LyICFEgClxT'
b'/4goy2xmRoxMhEyBGxfA05GN2vtwPIVShXzOEq6PMc9eAoDZ2Zd1vBMQEItTXikcaNokh5vL'
b'hSrGFBudFBEByJMZUJkMbmj8K6rTtjJqak/+FwBqC1iiZjmri7eyKURUyCfuTnpZZP3XXPOz'
b'rc6SkJEK+k1EHAIRkUEIganC3u045zBsQ+gisveUI0QOgMAkpgSIgOKV3ERZMvDZfwjc9d2m'
b'C+zuC0FZaI7BECKU3pmlBgyMDNSyAijU47a5cd83/eUvvqDwPLOFZuapMGN7ehiU+/gH3AfT'
b'ehohmmZ3bQAMDSRl0+yZFV9bsMKxCMqBTIW1VT6HiIYUQphPo0stWSWPindv8Pu4G2jGCFZJ'
b'tFhRw0blYmZwQZvVAgY1xtLJJXrf6FJqQiJioIjmi0ehMzOtK+Sjo66ex0+8GT8GuLaf8ybH'
b'JTMJ6KmG5lJ7JgTRg14EAAMjIlH9cH93fX256UsNgAFIhQaYA6ouOaWU1CSEoGBmAiYASNSp'
b'as7uhHFresCMOZtKVqVYul+Ap3P8uRnPuo3Nz2DUek4LU0ug+WKAhlsbeHdVRDVyuBpKu19/'
b'5UJkcqcUDcwLTAEcyCw5AQEjRILGSlD1hQ5InuyCkvk0K6iPPzBads41olFtjfRx4OpLwGuD'
b'oEyoKqiINmqQrbDPQKhqQg2zASAkX/QQfJu48S/GsOTRDJyCDxZshelWToUVd/YjpP8cbmFF'
b'KMpYNVvJngo4p6Gw5jmZORAPXa9ZUkrTMnvWl5k9lmIkQkAzZgJwGPjjwHW/L1HlOI6bvuNQ'
b'6g2genWqSqBoYqrZhJE8eY1gzORxe0rJV2kLRJthKfAKAgcyBT89jRCADEVVs8icFsMuRkZC'
b'1LJN2kM6wG4IouB0muZNMrOCgWrNRhZb6gYLWqyOPvVkAEw2Hg+W5WK36/jT169f39894PNn'
b'fd+DWVYFgI7DPM8PD3ebzebm+pII5pQeHh62+0sCXJbknM2rq5suTB8+aFYh80RAxxyvIB4X'
b'Yop9v5ElNXELP8f7bsMUVVVNVOSHYrbvGRxz4+kCIb4S1lDYD19WO0Xa05IAW50I6+/9gQco'
b'jv4Piv/oRxzmpOKR9PomWKUd/tijmhnWHICb0BZbOBtQTNnZkkzQ9GJLss7YYB6nN6/ehD48'
b'f/nCVQFuP7y/z5I1fff2u9CHu9OHF/zydJiP43gcp9D1HDtRePPm7ZwEmU2ROHz3+s31zbM/'
b'fPf6T7760xg7b54dCb1o/vb29sPpeHh83Nxc9SEe00GXpFm6EEll32/+/M//PAz9i5fPhk2H'
b'iJafb0LXB+rMnu8vqdt8evN8XJab7e7F1eU3H9711PVZ45JPb2+fDzue0t7w091Fn+n+cFhu'
b'P0ynE41jL8aiP7m6eckM41Hfvfnp5f7x/v2b3/3u/e3t//Q//uXzefndr38zjcdnf/LTx3/6'
b'9fF4vPk3j/c///l/N3Qq8+u/+9urq6vjL7r5m38+Yfju9dvL6yv+3e9e/e3fwO9//+b2dUT6'
b'+ptf33+4ux+PZnbg8KuA8f27Fwj/+H/+b8uUaJm466/n6V/+7m/Gr/+DTdN3fd/fPx5ubx+/'
b'JiN4FFEO283ed6yfyPM8D0Pn+umkxiIkidO04dB1cV5mAkmIaVn6wGgG6ikrl0NjACiFeuYV'
b'MzVV1JbRysMzKpxd9NWGTNvtNqX04cOHaZr62BFRznmeZwXEiMPQC5ip8tPMvt/bfb7D4dB1'
b'3fXFXiWDlZpUdxMRC6euNRJuzwMlADh3V2VmF8PFKlLm6goET7aEuQocgKrOy+zFQ9vt1s8n'
b'8HPXCICssfDVcMVpWWMt/tWeAeBVKW22oqzsIn2FEpqziKgUIaDjNJ5Op82m913Z7q+V0Lk2'
b'ExWQPmfrUk5W9TRaYeL6Ndd/Os/bZzmEALVtAhGhaUrJW3015+n7VzkjHdEnMsV5nnPWrgvI'
b'1AhdvAI+K2dAzEr9sZk56RgBkKjve1dgxCoI04IoRIoxsqvjlU4xZyqIj0+M0TWJGwPKiftU'
b'vwtXUOtHi4eYu66LwQ/qAvy2ldmG2kowois900LcaivwIyPb/mJWOtR4CFddIkBEFW15m4+n'
b'DKRkkESBC8KNiGq53rycLo3LC97FB8AqBIxWtAJ96bTp84AydCHGmGjOOS+FLEvFn26DdtbY'
b'VZfmqKntc8apCxtmdp+1vjYBgOlZqwQrkeO8igA2m41TkkolnOj5X1e5rPWM2Ipe5STA9dBR'
b'bYmAqxrQlfsFZhYpGDEgh9A9e/ZiSaecs216rjWpIuIt/1A0peRyPW5YJJ+Lf7TW8AGAU5CW'
b'msViZqrUlPZJDwCBqGF5LQG13lyO4SGeOVqrdVh6lwuYs8BdsNWjXlh3RoeyQyvI7euNTLWS'
b'9Jzuf86AORBglSzUVqnr3DQsoKkwnR1Nz/z4fcut7KPpQ0QCyCVoJGbG8hn/wDkn5sPlOUBP'
b'MBuAqJAXRBTjjFZzldBczxXg/YO2qy0qJAMvEAP66MP+Gc+4rvPDTFWHIEY/U1ybfBzHEAKH'
b'DYeAYKCZygYBqJoKLa/lMXwgDoHN7Hg8Pj4+Euy3vDUzIwTD5jUWxfqsqkrIAqYKAhZDsJqS'
b'QoMmVWRVyrlVnpQhrZklYsoKzulAxJxEZFTth6Frg9b2WoVmGGrDIABANVBABGZHjkqlkKpJ'
b'NgHjstD8rCyTgwQqKcSQ03Q62na3f/ny5Zvb96fT5KeGW2yv85umKaW03e4vLy4Ox/H+8UGM'
b'9vt9iH0IQZaZgWLotrvLpELzvMwZNAERz3kYthj6NssigvFcelRT1meLtL7ageJPD6vckaqi'
b'nv1+a/GuNSvbVs76hu3URvebv3+kfv8x/jWXonnsi2cKELaMpV/VMyn2p/1TMwXtIddia+t3'
b'UedKY6V0gh+6QCsPZDqe3iyvQgibfvuTTz7rzaLq51fXe+KFQkzLTYi23V0S9SkNOfcdf3l1'
b'vc35NE4byZj133z6yQXgT2+uu2mWZR5inO8fiPn07nb/7Nl+WS52l7/45p9/+uMvL3LKy0Iq'
b'F/O8OZ4+If72D6/e/OpXLz/7/Hc/+9l/8/KT47sP07s33TBsOx76bvzn33Xb3d2vftVvdu/v'
b'Puy/+Gy4f9TH495g/u03F4+Ht7//9vKLL97l+Zc/+9m0yDQtX331FWueXr36Pcrj/ePf/+w/'
b'Xjx8CAR3D4fXt7e82b559zZy+Pv//a9fDdvlcCDVx3/4h7vHhyXlwze/PX348Ldvfv/ixbPj'
b'7bu7lMZ//EWaZo6b47yMXRjv739z/+7xcM+h65hOMUrK6tV0yN1ukx7eCtj11QsQiXkWmSnn'
b'q/3uEpQJrvuwpKljjHFQwsiYRCcTQ7VACgbEEEixANuMACYRlWzpgQbSgBaZUkQ0zKboq9p3'
b'fUE/IDTvHwCc9M+t354oEjiOCyVzBApChgDgGrEPDw/jOBKRS9YQaM4ZOYQQ1xl8R6ECgQIj'
b'qBvLw+Ewz/Pl9jrGmExhVdHl/GashbDNvUNmYkYVV562WtsENebW2gHDWx/7CangWnPiw4Rq'
b'ajJNJ0Tb7XYxxiKx47zpWgPqZEczZI4iyQcZAJDA8wDecti/N6ugkWoqKNTaF6zwgIjkJCKW'
b'1Y7HEQBcH8kk1yPQkdMCPzdH0/cqkyuBkoh4CiB7L8MCn5/jojbsiCgV42nqBx7dU4GxJUlm'
b'JS9EbjDJ+eBcFZ4ioojPnTnpGTE296UdJLqqjbOn/jcRmYL3GQMA7vplWURSKomOSlRg4q4w'
b'OhRhkVxET4nISaBQBDrAUMUIQVUpsogYsUNQZqXmEVxFBNtyAEQXiCiOReF7Nisp2cyRuVJ3'
b'B4hEXNJJZlj1AVe8mnOIiIgu1lTO16ov3lIfVitowaH98xdrQY1QwQhKjagHpT4dBgamCmAi'
b'GVTQ1WDBi2W9WQQBkReknTNLdc+LCOSselZhIiKCAGrQcYtt/NlK9T3B+Zg0MlVvLrjpB+az'
b'QhQABAhGlkwAIKzIcgEg5yKSqKZ936eU/IAKISRZ2sppq67dE+rp67TU4rMCppSt1Oop+46o'
b'EltWMGBTUwMFUSt/L3DyMAzzPE7Tst1twmpt+wmbluwFFDHGYbNR1SVPREXIUmu5Z6FuUwBT'
b'zQIBQwi+7hqtiGqVansdRHTBIhOlVlijhqAqRqGRc3ywMYBjq149he5KeoWKgXjtqKOzVklT'
b'zKYIJGxOYwRVXzKg51xX8W7K8iIgbY61hyKGRf5KDQAIO0RSA1Qkg1y9RUQMsPK3ANlXiykY'
b'ECIQsWvaoG9tn2ABgKzFAYZitNWpeOSFsGClyEszYUBGrV0RiMg9LXFlrlWOiJrdNfP+teWU'
b'8/BLzUyxhLKynpfzBBEiIns78RBUFU1Mso++o5XjbOM8sbdrCQxooJUjitgCkrZUAmI2887Q'
b'qpt5nsd54hgCcRd7tYm5CCERcuQww5ySEgETLVlF1FmIahgtlJxP6cl1hkXcujbDglT8Q3fs'
b'zACZ0CznhMvi27rZ+eaU+kD6TwrbZ1Wc41plIuKnb1ZRVUYwyQ54rbxOIULLCZHTrAfV3dXN'
b'F8Pu229fvX//PoTw7Nm1H1sxRlbN8zLZKfTddrud0+JKu9sdEVGM/bJMxGG3u0gixJFDnqbp'
b'7dtX7+8f5kTbuE+LIPIwDFj77WBNSmAFPpoLa6ujeW122npwGFR/gEkPiCWlt4bkrYbfZ++l'
b'bhCrofL6k/+/L6zBCVgDucpXILapJ99QZV1//wvVQgXa1gUNyKV6QRGkVEADECrhkiWEAGqS'
b'ckSirHk+5g/3f5h/FfcXN5k+vH53EYbj3fHFS73/cHf4p/+0222vjofn8/TmD/8y/uZX259+'
b'uXu462/fsdG3f/fv9v/1f/u7/+dv/+K//x82Q0fTspkmJbDHw/yLr+9//ZtDTt/+8pc/nadl'
b'v7t7++Hx8XF6cXP6x6//0/3x7uHh9HD39l/+hX/729/99V/Pp3meTt/+7ltL83fb/vjweJqW'
b'Re0oyszTEOd5TmKS5uv95v7+PlH41c/+48Pzq+O7d9k4G/z+7avTfJzHSb/9jQJej/cPf//3'
b'fYzvbm956E5oIae8JOs3vJ/g/QcCZNnT8ZHAwhZNjhfhAo6PYZki4gXj/TJ2xIYSOSyklxGM'
b'YDt0kpabPs6gk6ANXT4dB6Ldbnc/HsV0TkuIUUBnmY5pvjSKOY/LDKxGkm1eUk6EGSlTzmgJ'
b'ZZR0f3y8vLww6hKAmCpYJAxggSGA2jJ7UX4WWAA7DIigCGrF6wDXsFHHaKtKT+xCdEfTQDQx'
b'eCCQXQgIEcFMTJnjph+WNJ0OD4HIxRYDucHnruvN+wGFqFwDACwJZcJAAGJ6fDwCAINN0wSm'
b'gc+C8euN2q4C/RJbk6uvBGVULe0C6j7xWykYV+dbRECFXcbO+7bGfr+/ACAwrFx/Q0RiVj9w'
b'wBSgY3ahg2rWK7G+gqa+LQO5XvjThMMKoLKKHfq3D5vNdrt3jkFxmou5ySEEB45bEOXurykS'
b'k5nlLPM8lzyDET4dqPaNbgFcKX/tlLcifU9YExIHJCvqkM2AmidEkFpcIaZo3v3HzCQQmWaK'
b'ndMLmwfZDies6WP0wlnmWbULAV3lMOeccy23KkMKABWzKS/eDrxKfk1au2NCiytq64PWzaqF'
b'E/4X18Mup3LFlcVBzRJpujyCqZIKMDMgMxKtiiXa0PkahapiBCvaABGBnpvRQNOfLgeAYh0c'
b'WPkf54uIgCqGt/ZOzuljM7PCGTAjYDUrGl1CGLIKALv6fnl9ryYEMIU0zXNOZNB1nbtLjjzX'
b'gLqORaUWMJFPuiEQOXIPKXnC3YhILVM5Gs8X101RV0ImRgRKc+nN7H2aYgjMT/hULdpcr+S2'
b'kMwwUOklJ2aRi3Hx1m+ITFTGqiwqRYRK3EeMkXNSz1Uex9PFsuMuAgAjGTFGRiTEFCOrBmaK'
b'HDKKCxu44u2SxNMCU1qCU5klp5TIcBgGbwSWJTeeD6zeBSuZKueccg4hRMeYTUW8cImw1CNI'
b'/Q30ihhVP9P9Xc5hp5fvk5GZUZ0yACNAU0AEMlIwAUSiUviFFggSGCqYKQDrag2SgYeO5LBC'
b'DW69CD6lOYRACrmQRs6/GdCNxtMMgEEXwpQmH1lBAXQiJ0TEXEWxmEETKqiZ22cjA4bS9JcY'
b'AsekogCkCK6hDFbDiR9OWjZ6D1QvyEwawtB8tXqpF9wU5ShovbfBLCxLQkSOgcC22yEEeni8'
b'X6a5jwHCBt2MrgQxm0VqQSkWhllpvnE6ncxsv780MOYQY8CSnT7TC/1hgoAAMhIQBmLuCIBy'
b'KtW6TBSqAG47OqXK+xCSmjGWpcvAxm70zGW4CiihFWPyCNhcofgsbQRAYlq5bADFVZDaa9yD'
b'cp8KPldUAzBRzgkpLMuidx/2l8++/PyzV9/J/f39OI673Q65uK193+ecdNTtxf75zbNpTveH'
b'A8I0dBtERmQKwUTAYLu53F3E4/H43ds3gJEZmJkCw6KqqgICCbGDFcjykZltf2/h0zp4o9ow'
b'sVrvJ5vXwFwr+odXXBkgauFm09c637B+1h9hXfhbZ6P+g60RfgRUBDTHRp+qDykAgXrqWM5f'
b'WerFoAYeisCGhgbIa0eLCqyUiQIw8bn2HpFIDIi8UkLJkJBVUqR4vHtIh7m7e/y3f/VXNuYP'
b'v/jl4XD48PO/n8fTw93d//Wb37765pv/49W3wDS+fvN//89/peP8h/1FYL69vb3/p3+iefr3'
b'/+v/suuGy75flmVM2bK83V+M4zgj7o7HP/z7vzvu9uNxPJ1O8uxK3r69n1I2yI8P92/fDePx'
b'4ZvfRO7Sw306HjZI8dTTw8MAqCmZQAx0gRfdOCmzqe3mhdVOOQ3bzTZljPGUNLEFWdj0Zj/s'
b'+5hUeqYbkyh8JJxNEpiiUsecp41tN8OAktlkF5lMA+hAatNps+l3MT4cHvlit+86REtpgRjy'
b'dAK9gJwsTR0Y5kXmiXk4ng67fiCix8PJmIhIUY/LtIAaYQgUIgULTtMhUoGFA4qocQBC4KI7'
b'zF3oNoOKKlTZK80mmnPmLhKhe2mEGDk42+8jrUUACGSAAIyQS7tfAxNCFZUYkQlUs5k4wIOI'
b'BEEBt9ut5nw6HBgh4LmNoh9dKaVh2IkIpDQMe6BADAQhy4KIOefNZrOM4+l02u12MQR1MRBE'
b'NUOzUHFrChGZCxqfU2BGFc3AzCnlnPMwDLX4j/04RDAgAzAsKVFaclJzzZnMBKYJQMfjIXK3'
b'3e+Ie0TOllXN37aZMKtlf1lLt3QV5/ueW24VQw8IBjkvzFyqMImQqErDGbiiESpiqX8FgIuL'
b'q8uL6xhoMQt2dphYnQtwVjuFig8BqwKoWRZTcyjNVJwD08yOeWY+IAEXYX7X1/cbBkIEQ1MT'
b'VFVCI27ou5koM1PR5DFVMTQyBgBDDLFHRENW1Y64CxwYCC2EzkBSzgrCRMRgIB7yGUgpMaxd'
b'S4k5JclZN5EUSdQYWL2Q1FX/qoxACB0R5aSmKF4ObhYDnU5TIA7ECBa4RBrZgGIHmp0Ro5oB'
b'vfWsAAA6Y8qs8ZScmAxMVASXQEVV1QyRe2pq2SJWSr0BjJxtbaBMHGPnpVTuMFEtAUcyCk2N'
b'gd05BjVHN5EZTCSLSqfkCjkeVBCySyJaPQnq8WDleADNCACaT4fHq4s9gJJXbZmBiWjOadYs'
b'aGIippqXRVU9S7ZkcbKZppxEYowhdNOcmJk4pryIAiIjg4ogcwATUQMlMCbMIppTjDFyJ2mZ'
b'5xGgj54VNCUijuSUPF8qAC+dlRMAACAASURBVJCziFXmlRqS9l1wR+Lh4dB1w2az02VBMPdj'
b'/Hfd3RTTwMFMDdXTFQhKHMwgxiCGyzRf7i/8KIyxB+QlCaERASGAqRkqUiSWLBwwMuoyoiGB'
b'Xez3d4fHx3EKkWMIJNb1Q1KZl7wZ+lI8wMBMKS2BCFSc4g1JVNWITb1OkUXVUAHYOXWEQSwT'
b'ojLklAN3iJhLRghFJC+pi2EWVTFj8mlHQBMRAyQUNTFQ1WCQydCCA8DiODSXwcyWQwiuie6b'
b'3E9tBRQRNAu+W0QJDBmZSUxNvRMueTyghlmErfishFZqBtSAqPVPcDIbAWQDEw0hWGlIwgJm'
b'WZomphmgqVPj0dT32jZEAKs/BwRA37NSkkXuxqs2cgu5Ak9LYZnmyCTiVRpkRCBqZoRmcqYe'
b'AQdY8S6cbmgFIkXkaDVZgWoqCujdG8CsuoMIRBQIicBFmuZcBwcsMnMXAxNYXsZpGScG7KKL'
b'jWk2ZWIkVnM6FpupS3Yws6lZFufNitnxdBI73lxdILJWSg9BIfFnAWQggth5/Zqqp84NzbTr'
b'owtPJXEBZRBVy9lDU1sRStEATDovoNJshhgYzFR0mpcYAyICFplATQsoiBmCMhIiiGnOqqBY'
b'etOoewLuWBftnVDSqqrKiD6zZuSVwsTRzBhN5nl6eL+/uvqTH//k9ebt+/fvVeHyci9gipZN'
b'kMBUxsNx2O4vtjtGnmd5+HB3cXFhxAoCZEZ4eXnDYWM4bDY3c4JxHL2iVVEJEKommJeMiIqD'
b'Sh6NNKen+P1emlizo2pGBB7oACLUrDCde9r4LgZDAhDPAKNjHIiAmEWAKoMICdWIgumTdsVy'
b'1sJqF1EpT/QnLHoABFCLjj1mLaFBSuJ1CiFYSgmZUIEB8jiaGRIDLC4/YWbobZPLy4ABBEJi'
b'onP9GxKaaiGsWklZlNDazFSFCE2yV++pqhIvJh2R6dIfsr16lY7HPnbhNMbxEDSfPtwxwPZ0'
b'uhxHQ4iHx37bx3l+3kUQlXmOfcjT+KwLPcJeBYiOTEx0w9QTjswc6ZrgwvLQhQE2AfCC6TLw'
b'cZk2zJlw08fdfgNqCwNrDmC9hosYTmoJeJG563YBbJZ5SgAAzy6G41Gy6iK8E8rTPJpoCBij'
b'Aj7cPe422zSnNC/dJSJkQ0gGwDxPE4L2oUO1eZoBYLsNScasGUVZbBNCBMo5x9ib8jKlzY4D'
b'o6JyPwgickRkyUkNmBkIYheSJNUuxn5eJkUV1YSmyJYERQ2S5By7DQCZeeErgoEaZiVSQzU2'
b'u9juXOM7UJeXhGAu8x9jnCX3NIirQAuyKRApCBCCgCowUEnCewhYlRlK8ZYvQQdtRUyVQgjE'
b'KKoGNGw23hw056WQG5T6IcQYRQEDev/52PUKME3TsI9mLJIcDe+6bp7n03G62F9dXu1jjDmn'
b'BtYWd1/PfJK6S8ixVcdI/LyJMbrr3zY2eM5ytcEU0AF+DAEhM+I8zRWbDAAkXgBPoNZqTI2Z'
b'DVRXikPMDFqGqKGVJZJexfbu6eKq4yCWwcT22NM0DcPgxcftVg3shKeJ6eKG1n8kCkhG5Dcs'
b'mEyj/dQkbjVzq+KB9f0bRqWWobpo5kgkoqpoViL/WOCqNekDi4FVBNH6vo8huJmqJGMs1vCJ'
b'7AwCVH00JELX7YFqKNFhM4ft14+KiKqZsHO6FxE1wcdGjkI/cs4g8pN8buVJl9GgyopxDy/G'
b'iIFN0VoNtJvhIvvzxAU5vw6fZ0pXTHczU5OmJ9PevUxocev94NHVfJ3XrYKhIoIThwpG1Mak'
b'LQh3yJZlORwO7XZmTn8TETHNWESsiwSe5528+pwYAU1VU0quW1K0rtHVK42QnADrr0geT5sQ'
b'WlMOdX8dET3oDYHbjGOtw6MVJ4eZVQWKWI1F7kIIS64hdOVAaxVr8nE+7+hWZVirkCmwLnNK'
b'iQgYGMgfG0DFavUFMxOxk20AzESY0BSMoOs6CjynBeHCTBDANJuBgaSUPdXku0Mtqxq4UFKe'
b'VRJi185CEQEmqgotvvBaAq0ZimIrDACUGP0VPFvFzM7ddfg/K7SKf1/OZQV6t4TKPfD15u4y'
b'1RJtAFWzqm0vgEiAEBANzRDcy+CCiAeFTIRm6LhOYcq4scLAQZ9kdNyOedm3EkMwmjzIrPWg'
b'ioQgRRGKAKAwwl14vJhBRPCqckBvdVkDDPWFgdQA7LPdA5fBMWUEZQBQ4EBESbKIVHYcrHdr'
b'MfyrAon1WvL/JSIoldlP+kiIqTOiPFEYkBShC8WWkCkR7jfbk5qX0cew98jf46cmNOSItBsu'
b'L5cPISigmYXQxSgppfvH43boKske1mdEUY5qQkCluQrMSS0nAAwhiFrOGRgpBvd2mc6dKNzi'
b'uQyDu3pGJGaIakxJRTN0zLTqY2BmBcMog0aFkijiE8LMIglQqert5pwDnXu8gEc/KwkvdEFV'
b'lLRMhwftNvvr6+t5no/H48PB+r4fut5MmYKCquo8jgC0225jlHEcx3HkLm66TgDJYNjsMWw2'
b'Gfthe/jDt0Sl56YfCiKyJme2E6GtgfVlNc3SFo+WuPGsbGHrpGsZlrOIPtq5HvoHr9VqBE9B'
b'g0P433uelgswhAbiY0kCPEkUmBWmPlb+oNf7l8pdPH8MoAQR5i6BsUuoGBYKaKN8EaAAoAHZ'
b'6pvg/CRNcEuLNwMGSKac9QphUtmbdHm5RkgqKdBAGCVvcjZC1swphWnabrZEtKChGuUZTZFz'
b'hCGnZCkBUYg95SyypPHQbbqQJads86JEOidIM6bMZmqa5jkvC6hGxojQIQUzTYuWciMUTZKR'
b'ADebzs8jVU2aovVuMAeOM+GSs5oG4i5EUVyYwYwIk0pCS2Khi7rkJBkrRiCmYsgc2dBS1iCa'
b'MojHu8TMaCCSAHvvjahOsqgqGmKCaBgwqfenHwCAGCL2CAaqkdib7RKGYgcNpZAbCZEZAwOK'
b'yDyPABvHSqpxa8uVxFT8ZC85K/VKQu8YU9XGIbjyMYB5FFsknQG60t41eHvNEELlvhEyn06n'
b'x+Oxj7HvOwI7iwMSbfa7LFjtJQGRZRFRp11KToTw+PiQ5rTf7Xa7nZkxB6KSPIWnRV3NajMy'
b'GGj13hAxdJGZncBTNppXxZmrQPg7OdRlxEgWTAFBl6WUw56jjrYPi+l0NOtcVnX2wwp/tLRy'
b'LA8p59p/KMd/OGfZ4Oymq6ohPD4+Xl1dbbfbeR69YUhNUp9lBM6bsI6Daj3SkAxJXdalhukh'
b'BDMozQQA0Sv+qrsPq/tDrV0WkfUPnfvBzoxvBFEyyK4A4i8HSDBNM4D2fQyBQEsXKm3OWX1g'
b'B0SdR9rsqQ8OQG4pFKxkdG1NjldBEUVmC1K6Q5i3rdBq6bD0JDZFoHWxF57FCtt4tlPBl5BP'
b'X0oJqLJ0gs8UQk2lFEVnAGihhYnV5DJRRsTziq2+MpRATKyaZEOwyt5F0Ea1954sZYHVWGN1'
b'z1UQhYqIHqp2fXBokANmaUF7CbQAGRjAG1eFCIAe0sRoAKA5DcPAlBFR1SlYSESMZCLgzi/F'
b'lJJqUQGPXUTvkivi6qtd17n6jZhRLdRxHSqogq3rc7c4B1DOwK7rnAtRXAorhYzrjc9IjsuR'
b'Q5QlQnbaCA5dFOljjIhmouQFM2UegQHIoXQVJCQKCOpT6ZubKTDH02maL5chECCpmdMXF2e5'
b'uNaT91Bzdc4aQZXzHk1FVAkJgAPWfh0AkHOWpy2iEEsspPXsD5GzJHdc3CzQCqEsyxjRELMK'
b'eXoUsTWu8rFdlsXM+r73RrxoJipEhmhoRFBp0OZWB4lYwQBIzUe7rNK2Q9ZUFijFxP5T9RZB'
b'HBy1L5CBiBSySfF0zMCM0NsXlIIRrxlS0OrWW41hpPYu1Yo6coiYzcTEkxKALupPgN6k3feQ'
b'VbfSQAVA2uhVc1e9H1zz2Zop8E3JzA4nNbN/ttIl9gBEJDY0HxgfiOwbEGwrIvOSu5Q2sSdi'
b'Ucs5BQJz1A6KVItPbpbsbFW3PH3fn06n4/FoWUKkoeuJSgE0A3rnHBAzL+wGkJytxhKqimAh'
b'EIjlnFGIAwPjmQtkWDX9lZlb/tCzec7X8cyYGsa+97YnVOfFY3UAQzVAIMQkmQIxojdiY0CE'
b'UisI8ARz+f5Q+1gSQc55mjQrxK7/9NOX330n79/fXV1dBYpEkAGQmBFE0jSdmHHYDH0fP9w/'
b'zHO2AIAc4oa63oBDF7vNUHqrEcUYNSdDGDYbrrW/7QHge9f6h2YfP3+xQlz33A/9+tqyff8D'
b'f+y76u/+8FP9Zy+qtMAK9yCsXxC18m/Dk1eDigauf4hVzrhd2FyQP3LV8TznKFJKxtR1vaq6'
b'wXRyIxHN8xxFuq4jokVy5BA5eLmj2zoGCMRETISBCYS6ELAqL3Vdd7HboxlBAXk5xq7rYows'
b'asuSknZd1/c9mt1++LAgb7sO3ChZ6f/Qd52Hdss0IaKJMlGwco6IyJRyJuo32yTFQXZZ9oCk'
b'uTAeY4zHwxiRuy46ZOPfEmNcNGMVLyEiYkBBVQVRIuq6Llf0IeecRPoq8BBjPBwevPOsiGTJ'
b'sgQRmWUWhGAZIFprUp40g3Rd14XYmXknPi/LUrV5ThwHCuiNyQ0AmbDgKm7GnfBMRpjhHBwi'
b'IiK7zHeoh+7HtMiqZlAOJ/+nwB0Qu9SPvz8iMpFXyIkqIl+Gvh/ilAtxohuGlLU4VAiIOI7j'
b'4+Pj1cVV13UrIk3xh0JwQc9ze1EfYkZwXnVKqRCIHTOGs30/A+Yr7C2EYEKAghTUJKe8pMTM'
b'/vBtL/s4EIEZ1nR6GUet0h9OTnCeQ6nfrRnn9dDhR/gfoNcnuNfo0qX+4qoqYFjrLMtnVkom'
b'TzYzABCqaeEEw/mx13+3M8aPACArIYLmYGH1uV0FBYoz6nkQRa5HNYg3F0UEDlTr58xFY2PH'
b'AObQj8D5Ofzr/KwiZD0Xs5qacQiOSbepbyPczJPVZELOFccqhNpi1gspOTACGXnRBnoGPKUZ'
b'V+zkNSjItZWY1ZJoEXGKTiswACiallJEFaz9vCxI91b1nEVZT0GpNGyQPEATmILqEPiR2WLL'
b'Nh3fPxXqmnQm2JOfYAXamVcaKbVAzcwkiy/f9vxY6hMcdIeG03sIqlWWxxc2nCFtD5myd0L1'
b'JIwbdyICiA55QnXp2gLIOZvV/tznPgwgqggQQphTVlVaLcv2kB8NRXMp1KvcUEPkDfSRWUSS'
b'pEhYGv6aiigQMERmLvok5GRchOxMGVTVyOF0OhwOh+H62geNVq6DL5XmoQKKiqlqx5EIVCUS'
b'u2dd3CCD9RqW2jTDNYuoNmDyYfHzkohy8pqZJwnM9srrbQsARujEGw/Gm3m0Gjxj679emnNV'
b'w2irewKYubgsr93T8nU179o2Tlkz+OTxRMQqAOw8SQFnDSFR4T+cH1sBuShRtv3lq6UdqG2o'
b'mSMF35vZrOCr1XR4N3oSM83ZMw/MrKbtUdsm1aoV9v3BrKsRrPb0MDuHAVxVR509A0VYyVSz'
b'GjUtbXcCdrvd4TgeDidE7PqQUsp5QZsBIHahqy6IlWxA2eCISIAOmS3L8nA8bPshhh6xtJ0J'
b'IVhKWpq1BwBYcvZzARG7LuacswoABPah05xz10Xz8nARhDI7WvuF+4QWbN63W10/IuKtCX02'
b'Cc9qPhV/JHV9DAJ8ujGJqOCC9dWa7V3XQjRsyBBSmue0XPLlp59+ShQ+fPjgLYFDcCtHiLik'
b'SR5Tn4aLi6vtth/nPI5jHHZDtwHklE2BmOOLFy9SSiIuaEghRM+BfPSEbdLh6VVXo7bzen2I'
b'N9/jo5O9DUBdck/CjPWHmzWA710/+MM/ftGauv39F2kv6OZ09RVPMmD1VkVDrzz/f2EkQlaS'
b'AH3fQ07jODLzPM02oOTchTgtY3DG6bJA9YBzzlALEQHQkzYBGYkb0uYWmAA1y+l04s0zAJCc'
b'lyVVTwABIMaYEU8PRxFJ87zdbrvYteb0gBBC6M4enRs3dz0UABiNDAhwt9nOCPOyaMrucQ3D'
b'APPk6pHLMlk/eMNKS5JzFlM3rc6+y6AppXmeMRbKaN1SpKrTNCEHAIjElZinZpZNScSr1T39'
b'2zERUSDexm4WJbHGx/Gr7zcAkEWzmIWzjSp/hrLTqz9jZqZSYsx1rEhMWpKliFh7qiIGAzEQ'
b'MkIABEVAx1E0ZUQUBACI3eBdmYgCEJ5Ok4h13QBEYkYAS05m5qqO4zz1a58DMBAjUc4ZzZDs'
b'/u49mFxc7IlIs6gIBGjoDq589/r3sy1OeU55RixZ7+Y2lU8XOql/NZsHNm7Ba7OP4zgBUNcN'
b'HDuEgh8DwLkffd1RbW+ICCNq1QBx4b/qR5ZuQUCAaoguQH+WHAaAapbFyXzH49HDWZ8zQ0Aj'
b'KfWXbkCf2I6zi0kIZmowJ8liQKFqzBfbgIjmfYvJAaszv6jdzVcVIrr0JxQC1TrSEHTaOioo'
b'qBmv3FRiFDPNibiI/7QER/lz5c9RQy5LsTICWOsqBatDAlbwPCI6x9FPRBGhwGDelJnALKuI'
b'ad/1IQSwAmaIKTETM+Smf1IuRaoZDSImCoGWTFTWT9d1WNoIlCNTVnV4zmRBLovZRR0RkdD8'
b'PzVVcwK00yQAoXDJuOiTqAGck8qIxBy6mObl/BMMBuIReYvFYXWcIGLJRawUPzyIqjPott6n'
b'kKzmUtomagFnoNAC2s1m0xQeRcVb+S5polJdzaqqYuJ6nWbgnbDBTtPsADMRGYgXeVsTpGoe'
b'PGEV1PKVXJwhD9pTStM09bHWej71+xsojk/BPCbIWcgAwbIkKxynhOx3eHJcIZmIWLZQ1lgx'
b'LebauMTH4/ji+toVKNVENbumshXakkvRk4igleRywTU6qo4jAYAAZhFMiavCxjqG5zoIIhII'
b'IyECdhwkq9esw9NzHYtjqgBQqmo9HwKe9zsHkJ6UKERwAxfbNDMTNcnQcJ2WjcFKREAhQ1OJ'
b'VB4YALQmobCJAnveydOMVSfeVIG85l5yCflcgco/hlZVccrZUy1YNe8qIgEDmoqLWjKrS0yK'
b'cPHGuICFDc31+rDShlw1CQZuZK36duWo0Pp1603k06Eghi5q7wLoDGCSzQgDEcPKmtXBC7EA'
b'n94dpOTMETebzZLk8fHx4cGGoSMiQK/RQKYQOHaBmz1xfgtToECmyIZ+iEzTcpzGGGM/RC4Z'
b'PrKqT+BBtcfeAIDMHUEIBBmSZAB0EuayLNOkIQQOsXjbxFTdgrMvW/pjoqiYaN917qwQ0TAM'
b'zESinizQMvpe5e8pLhMVAIrMRdjat1M5cj92fH8QHyHAQKaAp8Nxu9t//vnnTPH29vZ0nPb7'
b'PbEpgcfuIvlwvBdNF/sbYE4noNCHuDkteV5U8pJyjjGOp5lkcUuoAA6NNQP+0TG6fsjv7TVT'
b'VfEmJ/WILNZYVkkkWy+PH8b+2w0/+mG7iWLhjv6XXr6hPgoA2tb+KAAor/z0f6FU4xWFKwpF'
b'seR7g6NrphMAwKrHH7jclggjXWw3qtr3PTP3fZ/SHEIn8uggkX94s9kg4qbrGUttBjPH2CMF'
b'VWMslYKt8WLfx03fO52dmWOE0HVNulREJldQYKbY3X24220RYqwBv43jOGcJu11wRXA1JCAA'
b'RmI0LvGvTafTQrTd70dRgUQAx+MRKru167qTSBz6ZR67GNGKQYshcCgATstjM3PXdbmymgNS'
b'F2OuYbBvXucT+qZI08TMGGNekjF2MR4OhyVZNolm0IGDkf6yaZq7ruu7OLChGoiAqfNPEY3B'
b'QBVJEbQjRCu4udO3wYWpiZCdHnR2JtGtFD1tImiry9dTzhmJQghEgUI0hOM4n04nqCGyH5Ne'
b'6tRthm4zmJnk6kobAXjLKYoxAOrDw8P9/f1ut2v8mbb+1pm7gsyvujM6XOQg5WaziWXKz0yP'
b'7/tMcAaAPX2mIrIsS4wx9l17AKzQURsBWtGXrbpcfqtpmoqgoarPbhtAPx3dIcManPjHUkpJ'
b'xcyWZVmW5ebmZr/fExFXbLs9Q/NE17MA1YIYgK+nj9wFqrRjZuZwzj94g2FcIRyOMK3tF1Ep'
b'KiciPyFQzRG4NinNFmANz4aubwJ8VrOKjVXV0D5rkQBTbbfIPm7tAy0GWNugEh3VF8TWSHj1'
b'JFi62YDz4AvSAGuP09YLo/0vEXkrk03XGzxZ/z7gLTJZv76IJMmlidUqsfDR17WvoFU4uv4n'
b'zz61GWkXrK71qdm+vYFVDh9yrXBod6DV9dEP63ooTBV3PtrC8Dv7PR3md5aCN2dpX6SVhODP'
b'4/kZyWbq2PaZyQMAvh6gypI0mJaRELHrQiBwlKgNchuitvjt6dUsgNfTS+0IUZalp6pqMuej'
b'CcKakSl7zaAPcZlmJ9IAkbfbadh/e+A2hl2IiIgmiBZD6EIEgGVZWg9OW1FQmgxUm1y3aCGQ'
b'D4vvu7YH1++4nnrVYkNEROzs0fpr+kT4IHi7j7PvUrNYuGo0W/LHT9urtWW/foD1mvloN5kZ'
b'gDauha5+GYw+mjUFFDtv4WZpsSbQx3E8nU4iAsRm6CFNm0RdJSKaMeSqo9V2RJvlFug+GfYf'
b'yq21sLNNHAD482uNkszMwNuNP9lT7fI9klIaxxkAhn67213sdjunprShW29hH/zWW3qz2yrg'
b'YTyN45iS59G1PWGuV1uQUhVva7kR+IZyAoObd1qh4GdP/f8j7W2aJEmS7DD9MnOPyMzK7ume'
b'ne2ZWQwOBHggRHAg+cdx4pkXivBAEVCIhQgPuxgssTszvb1VlR8R7mamqjyomYVnVvVgCbqU'
b'lGRGRni4u5mpqT59+vStiZhTIi7mer1OWbl4+NP6EaAgRaUzAcYERnJ3g2juCW8W3c8ZsTmv'
b'CIzRX56fynX79a9//cMPv2nNPn78eL3sMIxnLI1S9qenT2iWl9P93QdZFnMEJmL+5ptvorp3'
b'NiZ3d+Bb4dacLV89jib3z9jh+DO82Zt+9pxfHl9OvP+fBx5Sx8cXcTgk85U/cyWISCJvlzN8'
b'8UH7uY/Pd6rqdbsIcd2Lm9a9dElGxFprzMZ937dtgwFVAACaWw3qqYf/SYDRlh7Qwr0ppaDf'
b'9vTu8CAiE+cl3G4iaq2FH6WqwyHEu7u788N9XHPOWZB4dO8xrYjIBJnpfD4vy3K9XnsbJYBY'
b'sz7QsUjQWdNSSszGqm1vNZ7zft0u23X2IAq/bro9MwTF0bBIRBzZFChJMF/cfV3XuIvYbZeU'
b'GfsFhOVhZlmygm+1XMtu4CgcDVLtllA1MPcWKwuGuRhbxjjcPYpPjlEhIkrXfA2A6dDMJXjD'
b'BJTSQiSAjMTbvl+v19ZaqP7Hde/ligCy5JQSoTTsX9Ec2PsibKpm+vL06U9/+kNK6cPdWa2a'
b'mTaf07d7D2pRSu/u7hpZVzdrWqya1ZZZwn1p9t649P9HwhpD2mUAFdr09fXVzPJyl9OCiMhu'
b'0aeMyEIZemzh8LYk0bvH056fn5cs0rVl3mgqDVY6InJEzL26Yryhml6uu6Tl22+/RUTCQEwb'
b'RunFAen0Q0Tu7gbe1T/cWzvophtiiAiAd5Q9Wi0DIEbGmpgIe/MtN3BJIsITuezO0OgZBAC9'
b'/Q0Adv1PxF4VEMB8j8RSSoBGnZfm7rN7yI1bMkeBiGCwLGDsSbFhzL1cJB+tW9/bQt1INcxN'
b'dGCN0vjuH0RqBdkUgG6AdzCAA7KDg4nvzxMBhfses+8ihhCL6rZp0SEpPH0aM+NRHhH36zNx'
b'g7d8CIEAAKCjOyF1FfYQ5CZEYKaEvMN7+VY4jv400HOtxrCaaWSz+iYXBewQ5DFw7/oVzUDV'
b'GR0Jydm7LJZVcxHJmbZtM1cEYELnXoCBw+UyM+EszGW/wHS5kA7UKfj8/HQ+n4nAm2cWR1B3'
b'7svZIwX9zgmYPy/Lsq7dByLOptVvZKc5iDC9tLm+ItmKiGvKr7ojYl6W1lqvPO3fE8X6lIgV'
b'mo3EFA4wmwBi1yn79enpmR8fT+cE1lVBgLCZNlNEjDFC7MmrGs6lmmFjQVHarhuOIATMI211'
b'cEDNXQGSuwuhj2IAACOClMXBdLQpxcDX4wcAdIqi5jkv4tnMR3oLVoVzzoCRUgNCgKiogYC+'
b'Yo13CJ8Q3RxD55zc7db1qSewgAEgRN+s4dwxfGQmqffzNmZKRs1HtI8QHPHQP4stHBCtWxWE'
b'sHWM3gwAcs6OVEqpVYkkMROBKqgb2uC+q3qo67B4re6GSIgETJHQATJigFuPqpunC7dxv62g'
b'4xEpAL/h/pEWcHUgDjgH0mhtDEM+e7i8AIAidD6vwQ+u5ufuNLuZ7fseGSpBIiJr2lorWHLO'
b'JAnQUB0Il2UxM63ler2iAzNCFAEHVGmdUmxDvtmjvJuQaNSe9UZjouq1Tu6Z9haEBAaGAMSD'
b'lWooxEAYboGINNPSQphNc5LEghhliNjLSxAQnTiyPBDEQsHbDtIXV4gYDNnV0dCmI49jrxn2'
b'Py2vr68A8N1335q1P/3pTy8vL8SQc+BTPai4Xl4cZHn8i7v7bzCdFCkBgdfT8tvt9bM1Z0o0'
b'SO211vW0Hp3a42Y6L/WdvQW4MS4Onwqz+xX7PPrEv8Ms3r/TvvZFX/31nxlSuDuOGph3Nxh+'
b'zp8JeN6chFAkO7wvgJzH25umrzyFEcutawaAcN9xWYbWRS8yNLOc8+P9gwQ3w/qOlnJeUnYi'
b'Vc2nNTCUcBuQbzvv2GTdEQ08MsYN+bpvrmZNEXHb91NemNm0MrqB7/u+my0sYZAJEAlFJOec'
b'DYXYRumbE67r6moIvXSBxu4jIs+1sIi4JBZramgsSJLCaTklOZ1O7XJpE4Sym9+Cb+H/WkVN'
b'K7LZIA4xq+leS1ryIvJUqzkBghAJEjFgyD+Q19ZQGKMPg4M5GIABkXBaT8CCZu5QS+BDjsiG'
b'4Igw6gGICPGQskMc+wAi4qF94NvRjXUjOa3nE0sGJkd4vV5uCAT27s2Bp3KoGDC1ZrVp9N3c'
b'q5ayq7ZS9s9PH//4x394enqK2H261PHtM8vp3tVz3y0pM7tcLhGZ0QDOp7l3d4UbWNXnMd5y'
b'f4iuVl9fn50w8Nd5c/v+lQAAIABJREFUF7fd4i1c2g3uiFPjCl9fX+N1HEjJlxj5Ye7SRFPC'
b'KIf+z+l0mslZ/+I2/W3y+s1p+30NRJ+cxoIBAOwUixYZjwCuEN9cVUBEcNBsmTeLwx1/9xCO'
b'DrEP7Iqotz3lUSsyfX0aShRjFMYDCVbIIVkx/xSPdHKjpwlIInF+EQkfqyvgMkc/cz70rqaR'
b'ypjjMr9rXhIOpCQGdPIUwyho7WZoOmQ46AcwANTJLnhnbY+XPR92DMJh6N6kAuZCO667+eZ5'
b'5ce5+u7r6IB9+tsK8jkJ41HEY0HEdV1jAsyEyZzDc4a4+7ZtEerzgQ0fYEb8j4ifP3/e9x2R'
b'a61uGGDG3G7n+XFkjfyYYIHb++cQwNvDxjHfE/MklMfChoxbuEHpEwgHgGCMzKc0HyONLIpI'
b'/vz8utcSggkxPWLrmpDV9LbnEKiqlgoASYT8th7feRvzlnVQzIN6O4uJY7oGWuaHjMe866Gd'
b'84Zf4bcClb6aZh7SrIVTGGthgujdaAMi9uZ2iDhJXMcDD/4cHgzjvJej5xHfknlAzh5v5pBA'
b'wKju/WJ1xHyL5xnGMNgCAb3LqBHyEfhN2wKE0TKl+Y30Px/CceYw30iYxwd7fA8erOuwV+Tu'
b'2lzVtZmqqyqhzMlJJMFN6uw7gEDpzuc1pVRK2fd9arQHLjiztWFz9n2vtQpxJNbWlAnwfD7n'
b'nEuz0qpFBQX3YY2qyqCMUgdKJC67r1oHdCPGu9M5lm13pBBjgs2M3EwZRXQ6n3BAS5yTEz69'
b'vhzTyzFJACAKXcLjN29x12GBaYA+c5K/M1/HhY/RqAuQkbwpuL68vLw+f/7+l7/44de/ArTX'
b'11dVR2TmTJgQe/dlBBJJDmR+a4JORCFFgNF+AWDWJn05Jd79OqfHcW6PUX6T//c/68e/O/m7'
b'b/EDLvnlqf7bjjk6767wn3P+uB4nfLdAvvpmmnroX6QlYdTN17241lKK1RakcQAA7QuEEEsp'
b'MSfnVGmt1b3M6TctIQk7QJTwzrUP0DGF8GiBiJljlIPIECD6dGbiPCRMnQnRtaG0Nlf11kvU'
b'qHNce1LRo08lwWDt9uKZCZ/HXhML3FTBLOpgewYAvLQWomRzROI682ldTqtIDjeAemNEj1Rb'
b'3EIpJR4bIxF0c121dCA1kaNVa82qgdmQNvYxOjASyESMwv7WnfhyniAGLNwPCYtsvWrKEYlF'
b'MNoqmSZO4JROC5p++vGftmtJ0n1ZmixkJ0Jp6tfrjmJNNaGgagNjSrXW7XJ5eXn5/e//tpTt'
b't7/97d39qbUWGinRMDh28WnaVBXp5r118930+vL64cOHIOmK9HL3eBAdFyJCprHpmDuAO1N0'
b'VLe6b6r64cMHYFHo/WgUkNxaazYqn8xMEkex49x7amvh8eScHx8f4UAc8uEfILKIsEjV3pQH'
b'bEAmDmZwuWzbtn3//fdEcH9/3l4vOWc+nWqtAQu3FoBoL9GI6YuIMnL97qCq0y2eFCmcQnvu'
b'yDe7H9mAafc5CR8k0sx6xwEaxDhVxfCWYGaNQUImP7ivBtfrRshjMvUAyYf2y/Q2xvwbAkqI'
b'qg2AVDUivTDi8YRDQAAR82mNbXI288LALNWYqNZqpGYWybLxXYjoTLdp6dElFLFraSIDuHW1'
b'UxeRfd+fn5/522+YmYDQHMC6ZJRDJJ3QHT2gq74x9CwJMQC00gAde0bCZ5RiXXMTKRSmSaYt'
b'IyI3D1NCRKZgCoQU6Qoc2Y/A7cZGcgveZrYg3ikiAZykvE46ATGH5xiYBxFpqUtewgTHV9da'
b'c86h9xh2WWt30yfNYHrAtda5pTEzpxzWOSzXw8PD/FMpJS89sBQR1cLMUTK1pDwjjbjO8LZP'
b'p9PT09NzlsfHR5bMAK3uPnz6gABrvXl+CFGTYGaW0hKRzeX1SsEDDKHYrgnYlVJSSk2VuGe3'
b'ALAzLAjNLYmc7+4+ff6ny7avd2dhaqXGZ5dl2bZt27YgGExzF1a7eXiolXNa17WaxlNtarXW'
b'lDo6MK2Ze6iGO6Jr05QSINZae+9gAAA4nZZaKxCHkwQA0SYJoi8P3IiCABCrY9qf1po1Taek'
b'ITquGn1qy5TZMQPoNRJmZtHYCQgcghSr4VLzrQw6epsgILE4Bq+6F7UDAGBXkkNyRib30kpr'
b'7XxasMNgXOsGhGbmiG2AJk1rIMJNW6nRgqMLCTQtAYMhogNWtZwzJ7xer46GVgMC2Eohcmbu'
b'HQ8MmTllJoVW7WiT5/rp+bH+EgKEUPMbBDQCv6JNRJCxtEqcs+SglYuISNLWokok9i9VI/B1'
b'Sb2L6uvr09MTC97f30fIvSyPKaXes49427Z43d2FmFeqzYiomcamVmsVoZQWV3V0ZIeRUF1z'
b'bgTbtqlxSokchECIS7Na++635rSV2lqLwkHVBmhREAwDvyDA0OjPkvZazAyZmJOpBp1GVdUt'
b'lD37HAN0gDDRHMV4SGY6Y2kAcwgpFb5FaxG5HUikcQ0hteYOSE5ITfV6fQWwh/OJ/uJXH58+'
b'b9sGTpiTSGqtEb4pY3B3YgjlKkIZyIUjdqsVIdMsEcRDj/axo3WPf+xcNzpQ/xOCukGfMH2X'
b'H1s8TocKDoeZMVAbLxJRazp/1kNR2bsPjsXyXz/ckBiCQ99aS0v0p++Z29H26x1P7ysxT1zt'
b'NGtCDCM12h9RVEn1y3MEd/DezaYnIjuXHBEjCOxiMMx0gPZixWWWdVlis3FrRJJSSjlL2auq'
b'u+H5BGrXVrrzMOrRzUyY1Rog6ij0b60pY8TVrqa1bZfLsqwQrohhKaW2VgFStKwulZlJ8DZM'
b'A/2BvUjO19aIaF3XJeWulOUO7gZu0IkMOWfTRkTInBIzo4ige9x7bAruPd/lhMAEiMEW3rat'
b'lJJJTBvQUrXRACOi75aZQU7Itwm2pAzQqbZEZK0AkzChGROgK7gSmJb6+vT5vOQor61tN1Og'
b'm18aj3GuAhjYP/QYgBDIDUZFQxffUCLikR9cz6ec1nxakenp+fPT60ttNckCY2ObbbcNnJCK'
b'NiHmlDkvy3qOPpdgjq6fPv3Ty8vLX/7lXzw+PrbWEHiyOOZSjEGaJbZ4oN9E9iegR0rSW0uN'
b'boUw4RzsydrDAusenEP9+PFjXlJvvnvMF8PtGlrZabBLhXsYEDPv9fUZAO7uThPzhreEjdAY'
b'BJ07SgvZ8snGKqWcz+eIWcOlsMG78EN9Bo2+Kkc3wgdKHRTMbp1HStq7ooVFXcbY2wzAmTuC'
b'Nc1iDNyYKEFceZ+ImNbE3Zu3HjUiq9m2bYsk5hvdHwY94+ayT2R6yFAEMIkANHoC2Ehqx8/8'
b'VnclnPt5+3MLmRT8mFrujjbKDEfjNjOD0ZkOBgULBywHA6/SLkLaJzMoOL5JSvR7AYTD9oOH'
b'LtTxzgmLxjceZ/XcutxvphmHMYpzxi1HvOfuNMbC3QHeMMHcPTIQdPjesXZo7jEdk7POvC+l'
b'hJ2SlOLXWiuYIfJsNdmGovy4O2dmeItem5mWAgCpCwTTtm2RmWne0fGUkobzGnaHcGK9x3Aa'
b'esOCvt4jCGHmnNda9+P+2gdj6Lqoao7IEADcBWnf99bs7u6uVw2NdQgQXp+RoIfCAc7/FJ0T'
b'cbRU1Oafn19Od+f7NRN1amzApUHrnOkROOyv84HEGY5+z/R+OkNy36PuaBJkbXQXwVEQMmfU'
b'zU89rKZ5DGoTvvsrjRQlE7neym+OFkb11hkawqtDRESOUm/r03XON/uieJQ8evkhEWmf20IO'
b'GjyfAx2/wxZRX+4O/Xq0d1aJpKWhmXXZWkSInhQAzVTGPAwzNe2DqtqIVAEgdDamHZ6X7f4m'
b'WIp1NMfl+HjHU8VpHMLUk4uk5AbRz9aqBbWGiNw5/Cd3HTz1gkh39ydi+PTp0/PzMzMLYWst'
b'pbSuK4waubkZtxgs5pS5XKNMC1JKYKKq21YkJ4ObRKyEAnJk5/pJ+tmEwAmqKgolSsjSWiml'
b'ECExlFKEMzObaiklegv0Dcucosm3mSMTkYEzpFJ35irLShSdB5gZ930H9IPd7rz/sJSI5HBb'
b's3Pu4YHXipPVOfcacyRFMFMrdWeh7777NqX093/40/Xy+XynDw+POZ1q24BoWU5EEvEqkDNn'
b'qBa8jj5X40uHzMDEMua4H1fN0bzMdXS8eACQ2HqQ7PDmbpC7mNKb93es6Ytd9M13xUn8zbP6'
b'/3aMinq8+ej9vqYNOdza+BDCJCIHMEYSOh/vE4yHN94ORDTorQDmw/TDYWahmR5rNpZ/4r46'
b'mmkwRJgZHF27UidJOktG6w6DI1IAlGGXoGOX6AqInAQII5dNlUK+IqVUAiYWDl8iCbI7uaN0'
b'v6JoW2XhJCICtapqC9xwSLS11qp68DuEwmZ2oAeKllKEcSVppuGQBFOguiFTa43z2t9srt7F'
b'x7qNTbIsi5bqo3R7ck/m3AgVEVO3aHirZk2VQudRzSwlRsaqNZxpwnhcSE73dydm1moBWvWJ'
b'TW/mg/sbYZshlH0DBTqW7NBVoxExymwA4O7uLqdVlny57q8vV0S8u7vLTEJAIjzKSR17wZ8T'
b'5+VELJjWvJ4lZ3fXWq0RIqbE3zw+3t/dmXugFCklgwC5wxO11myQfADAHePqvba9lHI6nWTJ'
b'cf/mCI4GGGKXU+0CACLvTFNcD4wIyl62y+uvfv1DdCuzEL/GmxNGiIxUzSSl0PbBCKE6bbGZ'
b'2d3p/M3jIxGp3ugBsR4BpjdsJBJzwD0g+96Lt5TyzcOH0+kUSvSAXlthJNObR0uISE4I2uzm'
b'Xx6yOUvORATgagphZyn8S0OENHqLTtsXGyeOhCwM6wxv0QjEqfgBAL3feH+Mju6gZuR43bef'
b'fvr4eH93d+7ji9KTD4Gm2CDkeJc0vamwTc81nJ7pglOXjzREirzQMRggYh2qLOEiH7kZ0wGC'
b'LziXABDq9X5QaourIjcc65kO7C8f8oU+spP9MU4rGWj0YHjjFF+LKueIJTrXGoGQkGatnruD'
b'ozs6gQ88vyffINpxk6mixYQOtwYAJkTkMB1EIjiQ9eOhmnXWLw1uLiJyTqW1UygmkS+n3M/A'
b'JEsmN0JGgUndwUEZFGFPELGiuwsnMyu1ymhogj3UcWbULpaERCQJVBVD8twNQqAJid8UYaOZ'
b'IVjOAkApLaruCITU1ENVfo4LIoKTmxtAMyf1nLOr1dbcPecc/Q7NHEyjINKD6ILsrsE+jRFx'
b'QLfqrg5uzZmWnPNyPl2v132vd8vCzNHoIAyaKRRraSE1MAB113YLsQzdzYI0NwMAM0PkMRxd'
b'IbvviCIc/XfN7KAytKz5er12Y+0dgkJEj0QJhS81wJQxtwlQzYLYbQEC7UVOSzxf93C8MVYi'
b'EfW2HIiG0Cj0hQARCCxAPzMzcAMIxaSuwe8wKgfGnhHQVOjZMxpglEKNsBOYBlmri5PGqlOA'
b'G61CRKg1V0NyYmQDJACi0hoAqLsMtuHkC3V7MqIdVZVYu0YIGF14MGNrQft6wwIHuM3tENC0'
b'eBzhiKICoI6F7GAKzojNnKqC9vDYCdeUZ6jDSIwATBmTmRH4uub7+/vPnz8/Pz8Hr2nWZM9g'
b'L8xa2zZTBZDoKmjayAEl0qS6t12qiogCqDozZCIA6z0+W3VDSoSIbgpI4XppU04oQu5caxVh'
b'YfYoOyKCCBFNmZl6AW+A0xEkCwWMTIiupVYAWJaF+xr0lFg92P9xC0ZEwgjmLoDkE0o4epPj'
b'Ab9BcIaB7epSSA4GWstz2c3sfD7/8MMPP/74T6W0VgEJkBICIkkzc0BOWFURASKRh6huABar'
b'3Mz8sLXdtrMDwnjc+GLnwhkUxSbSo/RgnnydJHPr1WUeHoh3FsIIMw7B5vHjcwnAzx701aKA'
b'CD/enQ1ueyuY34qAb3+C7tGHWsYMWkTECSn2qX5Bb6kjvaRt3sYt+xfmlJDIHe2N2ImqxrSP'
b'XwVxXTJv1/16eSAx6ztjhI611kspnj7oEPyIM5jWiQPu+94clDBC6P5dCNenF/i+awniAJtq'
b'rdVR3TQ0GLKnlJiiYWUrrbkaM0v0FoBGKV32KxFl5syyLAu1MoGYWqs7ruuamVUbM5PwJBiD'
b'o0TfGG3naMmClFKqIpMjrarX67XWeloXzBkCFEBkRCeOZpWAhkQoHNziiGoSGQ2ADAAQOZR5'
b'vTkarnkhxJyyMO97FZEaAUmSppvBTXXNAQxce1kZUgcziTwsACKiTCcGEZlGLxtTIjIAzqmZ'
b'fvr0ad/30+m0rAmbJUZOiYaSABBGU1WWLCk7sUjmlJBEWwOAT58+/fTTj6+vr0FFyMuC2EXQ'
b'tJm7R11zMFmjW1LncgxEp9bKzCEz2loDTO4GxIQEDhh5Y56oDwL0ZBm4B6Pl8+fPKaU1ZVVt'
b'6sdIvbvwBwOhQ7cEANLQRUHE892aUooA8bjHwI3p3tOm1uOvNuOwbdtqrafTiYhqudHFSr2p'
b'iBxX7/Qap7XAkXHzwWqdlgsRQ7/2Rhw5WAc8IHMwRGAGQHKoZ+rOFsyEZXix0WtZm8UMjlUX'
b'b2eiYB3MizczOjwZnJHAcLLVusoHvqVKx4WF3YksufUUQS88DXdqno2Zo+2FjzZe7UDfnxY0'
b'TNvtu4holAocx64nIuDNmB4BlSOmOJ2JeZExV/2g1TN3fRuQQJjJ+fE5xERkg6puZnP0blmU'
b'oG91adfb9dw+flD5mBMprPCyLDF7mVm1ruuac962rc9PbaUUpk58n3c3/neKbCkAU5pqCTOD'
b'hIhRwj7YAujuOaXpqJVS543cIIrJDwY6nU4vL5fr9RpL0FzNDI9Sdn2G37ZhO2DtRHS+f9ir'
b'MrNDdIWKduvEiMIIIOHX9g4Jt+yTqqkWd6C0rE8vz5+enu7X5byurVqpO41EdmsNeo9CJiIF'
b'nRmbcP3b6Kb39oLRzOf+NHOGc5THiuiphkMq+dZDrQ/oIbcGdqMsH79uYPzBjUa07iIz38x7'
b'rJE+uFGNBzi/iACA3vQBiK6QXUQbgQENHQCa3bBGG+WqCr6ua0hhrEsSzgSKjkxIgFWbv1Xs'
b'ifnZEwXEBsbE7h0tCPszlkNnMPohtdgvwJyJbJQmm1lghHZQIYPhr8yj3+CQAQXo0fjt2pwA'
b'KMwzkde6hefdqlaoOQs4mjURdndCz1nizYL88HDXWrtcLoh4Op3M4Hq98tD8nvvydGXqvi1J'
b'irm5tdYATUQQ+LJvrG2MF0IkThldzQ0NDFGE2N2NDBKrW0jKBi9OtakqIaWUgsIUSEcsW2HZ'
b'awnL/nY2IgJSEm9aagOA83qKBDYRBZ6lbxMsZi2s3dEw4iHUPy75/uvByLi7EAFDc7OqT58+'
b'11N9+PCLv/qrv/r89PLyur3svp5OnLMCmoGjuvcgip2QBZDBDQhDyReRcdRqTxMNA/d5t+PM'
b'Czvavbmm/HCR83XyUPYY5/8ax8bQAMOMf52BM7ewP3t8PQz4uY/HNhcLCnr0Mr6durQJACj0'
b'Ts+U5N3Hv3qx9pV8QD90ih/CEIwSSSm9lFJr5QFwXK9Xc/vw4QNuRXr30l7ClFK6Syml1Fpj'
b'9JDwZ2bJeUkSe/1pXVWtJTmfz+5OxIbQWvvmm28CgN5CqRKxqXLI0GybqWIiRNz3cq2F0gNJ'
b'SinjXlq1zdq2lb1VQFyW5VK7M7Zt24csRKQOBoDCXq2Wym5Lkrm5qyoDzkhrXVdkkpzcMdz9'
b'Dx/uc8u7mYjk5dSiPKCUlgSZbkkq8NaaImy1bGU3WU01ZJEbmbgDMjMDiRoBYWKxrTGly2VD'
b'IDBE4HVNzKJQW7NaG2b24g7kN0QcAaCZTTULBD6OIyEAEzHBSC4Epdam63a5XC6XCzPnnBk6'
b't1ioQ3p4a6LEHpEQUFpW4azeOTzbdlmW5YcffvjFL34hImCITmZQq9baiXMW2DlRXhbkN1S2'
b'gCfXNafUFSTn1Y+bJCBGZAQG5EDgZjYfEbf98oc//sP5vI4NLzqBygTFY6m3Q2POmL5h6a7X'
b'18vlknOO4t3uAUB3x6a3x5QmSj39e2sVzdH85eUlnmE3PWquIQmnI05TB1WrVps3JbiJrIG5'
b'qwEgswT1ylojAKIIATrBFxENwA6eKAynP258voiIxyqpqOsaz8GgmzDDIXcw/S1EvLu7u7u7'
b'm/tZ+JdN1YZJjYz79GBuez8jIsb7p8c5g8/pH8SHmDGaCqlqKHA0e/NDJDGnKf9S+XuGXkdD'
b'PwdLRHi4RE5oQDrKy6bH5odssqrGU0IwcHVrbs2sjZJr8zGgjBTVPJHOg/4o+gKJ4Ygl49GF'
b'lcYOisyc+sQGjm4Mb/w2RGBx6nUX8U4e5VxExJxuNceENraEUrfIRIXiWKzTSEnt+x7ECj9I'
b'ExLBELmC0P4zb2qVGVPiufQijDQzFow247PwN07FgyWMBz1Hd8fozTC8wE9PLzFM8akIMkfq'
b'5U3uHgAQ2XvjBSJJZrZtmwFIYiIgBpaeFQSwYGPFjbtBJGqYiZnQAc2r6bIskpbrXrbSaq0G'
b'3tRLVQeSnByhNW1NDYBEKImCF7W9aeifmjXQhqagjQ612tG4SQ9C7LFGzB1H6Din6AS5AQzg'
b'Nmlvo2/q2mJJElgYBwJzV3clcCEEsIlVh/gmHALX40IIaTyCobYMwNzlHWkcfdlTsPzjZ0AC'
b'Andt6BY/uGswPWNNxSBObChO1VcEAgHSiLHjQTFgIk5MwpSTSAz38DKPQamPQIURA1oHMwJI'
b'jIkHgUeNBzdmruWI9me4ziiMQ4EaDUbrg5FqcHeoTbe9mqOGtOwojZiLd6w4IAc0zyxdk4DT'
b'w/2j5HXf6vPz8+Vy2fc6ymqjm151N2YSYUZUVUZYl7RkQRhxWhIi2bZSBo881lQ6JPrde00W'
b'EWSmJac1C6K31hDhtK7CbE3B+r5AoygcACIv55GrPMQA2CueOhOjtraVXR0cqY5W92Y6WjH4'
b'XM7HAyAiKgYPYnr/h7d9mUJ//LavmZPDknIi3vf98+ePrdXTaSG2T08fDSmf7pBS6MBcLi8R'
b'sFS1qrbX1twModTqyDzUS+O5HX3l9xf5xYHvDu7XeYR++gr6opXvLYqgr5z8fWjxMwGAI/jX'
b'Q4Y3pzogIPFsbwkWHc3vjpf3/n6dAPpSNejaxz/3TI7XDABhneY3zh1cb3I3NdTxGclaA/dF'
b'EiNeXl46B/iwHeytXsvuZqGtHSeJ87TWTJWJrterthaVxAQUkAozPz09wWiqmJbOGC+l1NKA'
b'iKQXOuacz+czEV2263Xfotgmr0uIgN+tp0HyRADIksJuHPljPORejmM3bCEAQKhIl1KqtijW'
b'76X/GK2vt4ifp1b1PDNyF+gIA4WIjjfUr+/4LNWouRjmT88bci7NH+6/IcoR470+vz59et5e'
b't9/9i3/JzKi3OXQc0b4l4XEV9LeJHbS957sDJiWi1+vl06dPAHBeViICMD46hcM11Ohn6Yjk'
b'nfjIidQxY708vb6+Pjw8fPfdd1EdFRKc7QBbjjkNIsQpRSWbmQGSqkb2J9qnuVlnsXnvtxVO'
b'YOSqjuuHiFR7WffHjx/3y/Xh7l4kRI0pnEsfQ4oj0hCmSZhR9aDIxyieTl3yGb54soEsRu2E'
b'xZoEQHSC6C3ca9vv7+/DZ4oosLU2o/y5xo4Gyt2nDxSeAhxQhdssGaNwPIndNtFbI1ug26J9'
b'x4v1m79ucEDMplxQvKdou7u7O51OMPC/eXIa0kz9Sg6tAOJ/AiSHomp2u3IftUR9KcKoQSQi'
b'IvXmflMP0MHgD1i6mTU3dCAzGcq48/GZ2ZEME7dB2H36ab+aGzvOWz6O7Ly847j4Id1Jg9qu'
b'qojvcxp+CGL7i3RjcIZwexC0jvNpRlaHUw3+Cg2kc6RQ9CCxf/hgfIUT0Xa5MrMrBt+plLKk'
b'dfpVR+eglC47wMzzThEDIkA1NTOWzMw2ahZ56AWdT8t8aLOA28wkpzb03VzfsNvBwR2IZDnd'
b'bdv2cL4jGYkIv+1JMWndwIbGl3dVrhYQXWnt8/OTCC0P5yli5UDgCgCMbkTuDXyqWDqgOai7'
b'EQm4E/N6d25lU9XWdBpDD36Ramudwpc7++62JOa0h97V7pZZMrOUEg2xxfniBOMHsNpXypy6'
b'ROR+mzO9062+kQWb77SRAWBmHg0H6SBJFH+yUctxNPI++7IhzuWgNxtys2+IGHxMg+j/1cFp'
b'VQVzYGD0OkToWyuaqrAgGBNXNWYmee/63GKM4ARGsiLJrsHw6MD/0ae57b7jAcZDBgD1g2c8'
b'4v85vWnUFJlZrxHqdhUAAA81V36Qq2L21iwLjQWF7l5KWXIWiaV33P7AgBEgVCKePn76/OnZ'
b'H+zx8ZE7V/62u/eJDZ6YW2uhqdVac4datDmkJZfW1dBFVgJUa+yWWaqpO055KCRH4EToYGKm'
b'2sx4PZ2YeQ/JvqGFgoMOGsMXgM20+T478RGqBWDhQYeLgtG3FsmniZ42cz72kHvuM+0Lj9be'
b'1mzEwUiqpqYIvG2XZnB++PDdd9+u9w+Q7jifr3vd6utet+YmklUVqv708fPL5TXnBOOq1GFh'
b'hr5b3qSHjgZ5TpJ3Bh8Ou+Hhfr9CAXr36/Hj707o7jNDNT/1cx//rx4+cv5fxg8Yqfu3FKCf'
b'+yIfWlIAAE6IXUnlzQkBoPOo31/2TC4QEXmPuEQSiqaUXmvd9z3lNSqgLtdrppxzlqIAYK2Z'
b'axJMiYlTOuxEwX7JOeOy6LImYjA/r6e4PTqfvZd021b2D/cP8WutdUfUZYny4spUt7q3up4k'
b'/ro1PaW8cJZkuDdVbbVc9m1TFaR1XVuJJgO2bdt6XhILUC/UsRCGNt33nc7300jS0Vw7BGUU'
b'WSIYWNf10koogcxFYa01Poj3T0eCoGortVoWMwt03t3NvWpVh6EMhHd352fFx4e7/+5f/u5/'
b'+Xf/7vXzR7BWSgEnLfXf/Kt/9W//+3/9n/7Dv59iIX2eDMeml8eBmxsdpF0FzAE8WDTBHY+N'
b'jQWJ4enj03Z5zetJEnGkvNzQAx6O8/T+w5yRs3BOlEQN1Js5ufnnz5+3bXt8fLy7u4sS8ZAK'
b'ZYrWwoCI2pWPVfTKAAAgAElEQVRPAKIFj/YuD6YhprYHxUhH8tHMKCQSAIDQAQk48vwAndXS'
b'iR/u18v2h3/404eHxxBAnNX50etqmgPrtDMyazPgC4wslD1GztoDZGrawjDc9shDZ9zYGqzr'
b'vbTL5QUAHh8fRaTW3WeVkjVEBNdYZjwUaHA6wdB3ZYxKKzVgQmbQsHFHvZ1wLxwRHdH7NRAi'
b'oJsNyT8ckFc8pkhixuQgj0bfjrfVP6tVLOXk4Pu+S0qcEwIykTDbkB28WaLhpAIAhja/Ry8H'
b'477RAiLNPRURpwNKLkdPKDAq6CCoebfyvoj0OrgpOyDsanB4bu4OQz+eDoR+v5VEExIhMZKE'
b'K88HzlWcmzl6IOh8bc6ZaQjAo1YQEIeTOqhYODL4HoUNzAFyB/6x0rlDvxHPdn/3Jmo2Qmx2'
b'N7CY0U5EaF2HZ9ZDHx1TQDB3xoC6CxFRzuG/mtleSi8EAmBOzAmczCoBOhA6eLQJNQM0UxBK'
b'x01UVVWriABYrKDr9Xp3XkUkCC3NesGGDpXx3iHlwIGJK1cDYlmW5fPz097qiTurkFDiEQGA'
b'RzNhwF6uT+ThIhPVWhQ6eeb5+fnbu0XkjTtCEK7SEQwzM5s0BvPmLvtemEWB972elgRDC6WX'
b'aaZU1ZoZNUspnGaEfjFo4IMnHR5hBD8YU9rdhwp/xSG2Bgdfs7khMg2aUOD3c87EvbiaT41d'
b'ALBb9xMiiugQBukreuh0dqVqaW2IPNBk4x/XaRwRM8RanwBV70lLwZfvAcNtjoUef9d6H6qR'
b'AMLcqtdaExNGe2xwGvfuo0zCPUxUZDyQ0KMJPROIM0jwDkkdrKkjESIggYUsEQIARy5BTUnD'
b'NsZO7O6A/DYqiyqpt/6f9WpOgMjkkpkTEeekqgjMKZl5aZWRnGCvJUsiwqi0li5jbYMnpmbG'
b'IQACcD7fe1NV3fd93/el7x29zt5vDdqAmUA1GmeKCLrtrbqDMK/L6fXyUkpZlhTqfu6eUkpA'
b'o18YCkX7cUPo2ibN3AeBNqU0c63x8U50dAd3IjQbOBH0AiMkAuTWdnQgRjfYS0HEZVnGNSMA'
b'mCozByQ3psgt7pr9Xo7HnHjmnep22zUMidnJ0O3yeilm5wfQF2VOd9/+Mp2+B17NWd1SSkII'
b'QG5YrN3ff/jVD795vTybGUpPDLp7l8g+GNJ313Dbsg++/lcv2N1m2hyGn/3O0Z/3/v4MB1fs'
b'+BVfffM//zjO5Hevt6GqPP56uPG338lDIgZuqY/bX29PBmDUSX5lQP1thry1VpsRwbJmEgno'
b'Nmb75XK5Y0F0Hs1na63m6CmJCCMFTzG0NVl42za7NxTe970xV4C6F3l4iA0l57zvOw/ZiWVZ'
b'kmQIsgBhSikxAUnvdCvohKXVgG4pCaBLq1EUFf3vzpLAfFYvNG2hR1xMm6mYne7u25BaVlUA'
b'b9rC34u1pqoISHl1pq3s133zJPGIaJQpA4lwdsdoyGUI3h0QpiQpJdVe/egATkhOBOCoplVY'
b'yuuF0vqvf/fbv/2P/+ff/ue/OzN5q6HNlYn/+n/7X//y8ZzbztLpSbdJchx6f09bkwl3BSXG'
b'hwstnIWzu+ecT0tUOhMAJYTwO2/USYToQS8ikhYEbqbIBG6Xl09/+Pv/Z2H65vGBexIWSmki'
b'AtGboIu+dUUKdWBHIowbi9eJaEDOEPwkVcXR1gSOK8rUMRoIYOwD3vT15fkff/rTv/03/4Mj'
b'tWbmFqVX7o7AxGHHO1d7uqQTbgxe1/l8SilpK4i9p0I/A78pLXJ39RooppvGdt+aPV+uABAe'
b'WGum2hCAkWzg1nFwb/MxbAq9oby7w/RL6NBm0ke1nKp6FMNNdI3JItJAul0kwgQg4YiudW0H'
b'QVcFB4uyLwTqVs/MIsfHgIRADE7urRfnHS2pu0+HL6622Y2SRNHGsn/FDRadvqxOYRwkEfGR'
b'ZAi9lPghpUTEUcpGSZgTUfB2EYUByCMDQDPGSGZKROCKkjJRyisA8HL2oVWKh6cROzQiAror'
b'3Xxr6zh9xAyATIZIBDBoSIHTYH8KkejHEauEp6iqz8/P6xolJRYwKkaUM+ZziFdiz11EoOHg'
b'BNDBvHCjAW4aO/2DhxLwZTm1VhBFdY9Ht291kiKEWISiuUzr3UZRVdWNaMgkg6lqhFLRJ2Gg'
b'iak1E8n7fiVOzGytMTOmdN33nJcwjtE3IKR+YHi6Y/NwEWdmbV6r5pyJCVzVsNXKnKb7bqOD'
b'DBMtaYk5yczmlDIj4mXbm6EIE6JZC/HoCtrc3IJoIWEMp0/ATNpaInSHE+e275fr9XxeE4d8'
b'jYUC2PTYJjsrdtYwle4aoltEFPIXsVlyTpnyFMCeox9nmMpxE16NgKHduii8pRyMj9PB4s3h'
b'xnClx3beqiYBYpxfFFzNYxb7aLLm1k+AjhDeHCKqWwiXdoR8eAbDVvehRHV3kJzAtY5nO92C'
b'qU4YVQczTDUzgINFip2y49CcmOZitEPfPTskFePbS6vUwYLg1FlsaTSKuXveg+cCH1SrWKNO'
b'UwdCEiFQcqi1htmx1hR8K21Zkrmzm1BGRwdwxzyKwfrHRUS4Fo2A5/7+3sw+ffr0/PqSUppc'
b'mS+dP0Tc992GBgcRRSTDQsuy1L2U67YK50XQFBGXlFRdtZkRCkd9DAAwk5OnJntt+76LCCGK'
b'yF7bMYCfT3IiCABAJN2/H3MmRkUkqbbaGiCllNoQ/Qs/LJqBftV/nl/nw8Mebxqqd9b5FX2e'
b'DJN1Oi/JgBC0lXAVlvvslJOwuBMtsmQDRCNv9ttf/6bsz3/9H/8v1e7sjqj7JkN3w1wP9Vdz'
b'ys056Yfl5n1AQ0YG6DDl5v9j3YHb7XUA8N6Wsxdtw8EPG9s6w9v+oV873hUATAVbAuydaObK'
b'Gu+PZaVgoZAYH5kiMBHp2q1WmyQagSEYdNg5CEUV3nLEu5GBgWndgihnQKLRNzoJ55RSih60'
b'NgphmTlzABkBojlj378L9Oyo94QbBSGQU1qXribcc7pDI54BzbTWeuLoMWutWSmlrRWwcwdq'
b'rU0boCh4Na1Vk68oTElgL2h+28XAc84tV0ES4taKGXtIoZgHIpxYEEprDfLKSdKSx8QWybkt'
b'i49MGgDUWtE9uHZqDuEchYy4mpJW00wYSaEwg+rQnNWgttpacUmIFDT9sFS17Q+PH0opD0nS'
b'kv/T//G/f2z6ALQ0gFahIu3lIS0f1mxPH+8IVBUOuwY6u5s7IQF7WG9CQIBoOQkUpGoDbOrm'
b'uFdtBswppWUr1R2X5SRCiTELCTihu3W5HiLiREjOjMwsnIgyUnJHrfv19ePf/c3/ffn807f3'
b'5wxIbjiypaW1vVYnQAzhc4ReT5+YE6UMQMtyYuC2tzWtiZIP2dA5Kd1vHU8Azbyp7a1etW2t'
b'Xk0raCv1+h/++t/f3Z3uHu8dqSoYuLtqLTTQ/djjkYiTOMDgOcwCgOvd3d2Hh4dhZ3sjLexw'
b'DgbkAb3772zKQKZAJOS01fbp09O6ns1xqyUmX9DeGAIUJDSH2DEdDQg5OTIQAZEjBszrCNZ1'
b'ZPzI+wdAZlH3KPWQnIYCGwA4Ihn0Ron9wpq6WkgexFaN5pO7GNeTOZMTaMNIryMA4o8//qRb'
b'uV+X3mTPtZQtADMC1mqltI4PHvwMd2+mrQXny0FNq2ndTSuBJSFwFcYghII2CGIxQdUyn3PY'
b'LyGy1oRgSYxDsYcpIbKqemg4IDtQbYYkQGQ+1cwzSwIkNXCgfDobUlruiIVSRkkoyUCaEcka'
b'/5AXJ3YU5wQiIOIiLAlZJCVOgiQsiWUhFkB2JEBGFiB2YmRyiq9OgGQDU0VEUGtl07ozOroK'
b'ktYGrkEVK3WrbQ/0zqybSPWuMtYNhyqA1RqMibCk2GUxWmMCdx1Ic/B42N3XdU1CtWxrkvvT'
b'WssWjVDdLSXhUUYfn+osdjcgRHdGNK3WNLG0ZuCEnEiyY9r3Gjo5zZQkucO+7yS9zoF7Wbb7'
b'UFztAR56EPHLvgdWBEx5WVQVkMEp1kOtNTSe3d1aq3bTWUNTQSLOu/q1WlrO5gjmVq5CZo5N'
b'cSs7I0wp6E6cRjEzdGACL8VbPeWlqJXqVX2v7bKVy7YDcW9AT5LS0qeZO5AjQ1TIRDWFIQDT'
b'3rQ5SF72Ul+vmwFW060WMzCbErfMnHqo62C1BVR20JO24B/HcBMJGoIZIwYDWyRaT9ChBCio'
b'855YHKFqA4Cc85ISmFlrYLfqlFj46CPOTBwtq1EN1UPaIiyJohtQpGHD5Ji6gyGBgTfTmNGM'
b'BOZJCE3RNHpaPV32BlzUAcBbBVdBSIQMLgho6k0FyUEBLTSle3NudBFqrW1ldyADqs0AGZkM'
b'XLUCGCeKX6M2vbXmoJJozbIkJje3tmQR7p5fLHlz1EH/45xQWMHVEZFTSujg1hA8M4M11xqs'
b'/upQzI24OtUGjuKOtdleGwqHuw6u1lRrZfIsSF4J/eHh4e7Dw1baT5+ftl1twq5gOXFUMLk7'
b's4ikni4jRnJBYAStZc3plJOqbttm6sCi4ASYGNGt1tq851+ISJgzS2IE6yaiORgSsWx72fbd'
b'RgQS326q9GYzdUc267M6TG7RFhVOW2mlGZAYkAEhMQ9NW5h2ZwZmgg4aTSpHkicqW9TdowwG'
b'CIGw154FDy7I6GoJAbXZXmtRcHFMxBkRRYgSRdmVoTqBI4CCNydgckL0kEHT5q1aLR1Fmry4'
b'4SX3ypmoqLFB5wtXbfIPo6YLB2rzblOzocnmhPHPDg8TABgp4vijeuZMgsHPHxE2GEBwiUPo'
b'G8COdP+tNEeKojJ3VEdgMrO67V17vSd1fDabDwcjVOSbG0t2RHJAV3e1oZPh7gDGMH8mMkIn'
b'GuUcTjwYMMCA2MzV9lrKKO0L6TBkIhFttu8lUmHQK9+w7Zs1baXMPDYJRsdSMhOAupfplXUd'
b'OVUCcNNlWZZlyZKEAMCIgkBPzKHTIElkYUnISO5oauaggcfGNaADI60pEycn2tVKq2BqreRQ'
b'fgvEwT1hAvNSNjJLhM10Ky3U/VW1adn3/XrdcbCLZ7ykqlE4J9hhcUYSouhQ1kCjwwADrlnm'
b'7BIRJhACdFN18y6fvaznfaumIE1/IPoXaN/tL78R+90Cv2L9juwvE/4u0W8Y/2KRE3qmsB9d'
b'cSSct4AjwT3aOYXzDGDo1qUYcDZFczeDeBCfP39uteYsrRgzUqh3AwCApMyZOQXJEjmLSJJl'
b'dRKSBADu9ne//5u/+89/85vvfiGEYE0bSWJFMDNklhQKaMBD2xgAELkZoAMRRDkIER0FW24P'
b'OkTsQvthVI6iA7j15szESPDxp3/84x//4X/6n//H+/t7N9LWBqp3Q9fm2pYk1ipAV0VkIq2V'
b'RDL1GrK+5A6JRSYGgNG2LIxmEaRodqO1mdlPP/10uVy+/+UvAa3WZrVoa14N3AzBFMxaoF9m'
b'zQl7CgXJam3q7r7mhQVn9bN/tdq1yyB0neYZWKPjBHsiWDrSdeLno1Rlzz2AUTR2B0MUIKrW'
b's12h1APkGEKsgxgDg9cbHglNZ/fGq8F931U9xjOwDKi9eHTel4gES4mIHKCZZUmIGNtAkF6G'
b'LaZbSbvf5Paw+2wMHngLIZF3YqtpCFEjMyUSBhEDpOgAQCgjTT+PCRgBGgGCdg4rc0JiAIru'
b'G0iK7iEvZUgMBuhRHgmOYAWiMp+IQEQMgef01naT/49q2v5zKDuNukYfkJJ7f8j7vqtF/+zY'
b'f71vXmrurrqjU62aKEhWe3BawmeKU6lqpFOiszpEnKkeL9Zax2k7TXPYio6nhsqBqqYUOeXe'
b'mxNGFv5IBHL3iLpnagiJHGqte6AJtW5mCITkjIDuRkTR4i2nFGrNoe/WD2vocjqdXi7b5+eX'
b'bx8fYux4dEY0x3VdrUUNo7r1VBIAiCQiU3O3xpiaq6pe9o1oRY3Aqd+LD3p0WCQzC9Uy89CG'
b'1ghdAu5S1b0WAIBQpzyodcU9woEKFeFcSOmFZe3lqtPMDYGmaN0YXtb0A24eyfgBESO6CFpq'
b'fN00CzO66wM0KOw8VA3JwcbKLa0tiM4hKzs+4nCkdd8WSWucJAk1dTRLKZVWS9V0XgOknsjx'
b'nEsj43eDCTpQZo6uZqamzcDMlNEQOHhEATxBJzpGAjkM4IG3CQzonYXVI2ZmhjGjoMMcN4/N'
b'hmwfACQR9J61SymVrap6ImJO5la1EfUNyQy6SKuQqroZIIowOqq1JPnx8bE0Ldv+ul3z8oDM'
b'iwhC75OaeltGN7PzupauRM7NHR2CAx0LNur1T3xiElUffN4wkgGKhRnHxJQY91qrOzGjdMHl'
b'WktrLYlMb6M1c/dlWcIaMHPtUZ4iRpg4NkdDd9tKDV8r0pSqE194Q7OZ07sP6xdMFSQAB4UO'
b'YhOReTCpKfiNYAqATGzugIQkhkSuwa4dQzybSzgY3ggqaCGqMDe4eUwvDQeZzUfmZP48L/W2'
b'S7491fE9kwFxOCeNsXhfkTIv45hq+G840CH67329Xth1fiuBGYTaIyHcagO6DWGG/qjnizRV'
b'Prsk6Bd0kXkoOLoTuDAtifcU+Hpf4/F/MyXhZVkKOQAEHOZNRSQRp5R281p3s3NECOu6BgTV'
b'EXTVGBpzR4dZb7ZHn1ACIYipq0ittZVSa60atLJHY08AoMQ5UghqzMwGgDaNNmFEsiwsBBiw'
b'LEgyAGtuqkS0poW1hVsiOaWUArUGAAj+0mj7g2/nCQRHtjVrVczZb1wpEkaiWuuuhkwIa3Pz'
b'3jvZRRIbCpNrqBs1ZhZiETuDQ6tnbSu0exc23clc2wnoRADeqlsNGNoPFxMqIyO3bGbRA4YA'
b'3exGzOobs/lySiJyeXkt2/X+fE4paW0U4D1aF4JmXJYFKOjUPOwzoyQiYOZPHy9/+C9/X7br'
b'ugbvpVEIwQoyI6W+ASAZAnfeMyJR76Ol4NftWq7buq6UxBAQ2K3ncSmcqrjD2FpiyzAzdTQX'
b'YQTTpr///e/X9fyXv/oBQpHDW4IUrq27IzlaTx8gAJjXUlJKWpq1gikDADOnRcDBXEPZOnJD'
b'NgoWceB2MegBa2nrOaZa94//+OO2XZC8tbZvG2jT1rwWRrJW1T0UeLwzDZgQ1Z2JmvmPP/70'
b'449//PWvf/39999jNMl7SwyYhkZYEFFdW7vJdMazighqDjFAcJyGXwtd537shWFBui0w9yFS'
b'iYh4Pp+j6m4IntL0SNydhjEdtvUmihqT73K5lGKn04kGK3cul7lsmFk7RwPNkVmQyZsRijps'
b'pSAikcyiW5qUTw+x7UREjDE6kZbF6TnhqCAUkZQZACySBZzjnYSE0H3cnjx4WwdG0tlKTMK8'
b'RFo2jCYRakBpTkgUoRlFIzYAM+MOGQIkqabPr9dfGjiyghKxO4TPEQ7N3KhgSLW6exTPqtqE'
b'n1WVUILwHJU5DqCmtz4YrgrMOW37xcwI0Cx0fgEQ1VwkpWS77b1kwuKyWdKiZqYtvjaGJLxq'
b'dwvBnJxSEQnts1rMzIEwLdkPZANrGq5Da828J9YicWyOd3d333//PUB3uSK6yymBuQ0AL96/'
b'13AR1d0ZycEQmfD/5exNlyzHlfRA3wDyRERmVt1Ft61n2jR6Ar3/W2jmt6yl1nKn5+oulZkR'
b'cUjAl/nhAA4zq6pbEq2sLDLiHBIkAYcvn38f/ebHH75+/fr5y9fX9x8/7hQT68zEkX38ONrB'
b'49H1mEVLstby5EKYrpK7IwxeiOM4tm0jcCEAUxvk0MEEwmg21LTcHbsLixcws7zfCMfpAMkg'
b'gO9w8RiWX4ITA/hYpJNoZTkimA0ZF4AcJG12AADQaPpHIqpVmvYUc027mjoMgTD2dby4ayOD'
b'Pc0FDdmPMjUKYCY7p9TeFDIDAACNNFzo7qFQa/WwiKilqpt5F3lCHIW5CBgeXq5ZcAQPmyBD'
b'xEldNxYpxrBUMOT5QEQUXFWtp8CCADiXR49KPjSgGLfLGEHeNJ01JJyNEKN/VxIYGRZmIhsA'
b'IgQKA0BrDcKZS621tXaYI0AhDAxFAA8IUeshvNUqXDN1gAhqTbjmItqkfPrw8rn3rz993pjg'
b'aS/MCT1Kg4MIACmDQ2ygrsxMjHNPGAFh68fZG5ehe4WzHZkIiEZPP3oEYill38PiTBBzKQUi'
b'bvsG4b13HFJEiRjsmdARkWzmAfBkgBh2ZpnliayICCgg8JjAa01NU3OBgA5IzOPACSZZ8ctc'
b'BhBjJgYiWXcmBuTugymhT/sz4DoWg2lucFZPPspvh7Fs/s9+CaOrKhfDZa98rIu5En/up8cs'
b'Vvz8Et9d6+c/X0f4XchxOf5VhtAHP/Ucso3a71Xz+Gffwgtaa2QH3K63fH19v+b6r5OPJ+nh'
b'auGOQ9gBEphXADJwPc9Ty3A8zCy73gtA753rrRQCAEZ6uT2lvDoz9wgiKizoBgCllB6jleXl'
b'5aUz1/NOrkmq/tYaIgpxeJRSQkjcUAfw0lWP1m8fXtJqXfnW093q2nvvNgUWF061lMLb9vr2'
b'drZzgyjPz1mc19bDvDCaB83HxcylbFfJiFJKSNnrJqW60EaMpjRVpV2NgIS4IndMEVKXSpaD'
b'bN09gCXMHOC27QPK6J52kIjQw2FsB6Owgujmqkq1ZuqVLjTiZsaDbDB1pYLnQ6CVHxLmiBCR'
b'5+dnVX19/ZKbtGpzV0DPXCMgpmXBqSkLAIjsEB7BRQDgPN7/23/5L70df/dv/rCVOukFxxbI'
b'tQDAaA1ETNJcmjxlK/57f39P/vLrHL3M+7wfSroxn4yZ+RZLlQj9/Plv//if/uM//MM/CO/H'
b'0UZu8htYXm5Ig4Mo9b+IIF26XE5IC+T3DfL+OpiVU49MZnuAR4T13j9//uzuf/jd73/89MPz'
b'8+122z58+PDhw/PLhw8fPnzYbrdaaxa20tgV2VJvGmj0Eb693ac7uAb8zUXxUqZM3xEWAd/U'
b'GY2IVKFbZYRhOeaxqpP5QNYHfDLeLEYIADAdxaJrshwuucZ1tjW27Lt4e3tz15WnX29hpYTp'
b'cuTtJzF2osDd3czzRTDzTP9TasKL1Jw81+LDcgtoUoLkHKu15jRLtj7XZmbWz97PxNUstzsf'
b'8PqPMMtBOJ/xSM+mCSaUDIYJBS66rWsOZ9ySUcpy9DMqCADiYvHNJnGNPQAg2x2T9LrW3d17'
b'79nXPQsjIzpdE3VlmiOi9+YOsyNzaLVOaMpDLMJ8vd90a3CtLERACoJIkFKa+Le3t1K2Itu6'
b'neUmrnOuhDRMbrU1SX744Ye8ERFBZHe4n0fTvubemAaIqz1XCmWtGxFfnm7Pz0+9969vr/nK'
b'HMkArwZ9GSu7kOTk7/cqRFBZaq3uGmCLDfOBVrpQAz0cTQCY4o5ZBkl+sTXZfNJQDpjsJR+/'
b'RrWscJ4Hptb11T/I55CQhojoXRcSbH0gDwsnGWZqrXSfXaE4UxV56MWbx2wkIFz5/ioSEd00'
b'T2sxDItdeiKXEVj9zY/1JSV1Z0UEmCYD3cOkfOcYjQUS5K5hTvTNPt26xVj1Dza9ufUWmeJ0'
b'65x5gzT5dteTZB4I7MsO8sDjjtc0Yl0GADerLAzYe78fx6k9OYAdAQjdop/a24Pp1T2y5wQA'
b'XFs773upLy8vZvbXv/717e3+dj+P40weAJu8TBhDD3srRVVTK33NNBHZt6cIvN/P1OLIcYZD'
b'a3qefdIKOJgiQRUujBiQBIs5Rbdtu9qB9dJzh01y6mHLstXcHh4zXSTkU9gViEopIjW+B6M/'
b'3tp3v1zH+tN3n5zz2ZazaGbJHA3DyhN/u3DgUrtO0uTr5dbOsvbEdVyHd934lrNxtb1xGa1P'
b'T+Q6hu9MtH/vrXzzgesT+O7An/k5v3DQNdsIi4gcJvhkPI1fKTCsu2Nm5vJrI1kf/rUh0WxT'
b'ZGbii2SNubtnr2NO6XrbAaD3nlal9861pDfSWmvHwUju/uXLF5x9UHAxaIsVNL/75cuXezuP'
b'4wD359vTcRzXQaYR5il5Eebbtj09PRFA005EyY6QU325Cmmv1t4EABiRNTdIMVwprbWBPqp1'
b'fX74FQGu1s9mXcFHXTeZQJNlux2ntiFtluiJQXaUHTgeNQN1AIKBcl8DK8z9PPP2RSoiYoDg'
b'WI+UxDDuEEFzqa41vl4QzwgBrjHepJaRtQAiEAlLZXA972+M+HS7MSMAMQsxEKCDEwNQnNoL'
b'5oQUBDYHISaSdKP/6z/903/5z/94K/KbHz/lcx/ZNYoyxVyP40hanojIACCfqQhFxNnczKQI'
b'FRkmhnBgmHBC/mbvS04CYuQgoCz/BpD953/6j+7+d3/4+1FdoNF19LBE1/UMEAEiAubgsZXa'
b'e3P35DSEQbPo7j6Ex/xxgpzcPrq3A8IDLKxr769fP3/8+PJ3f/d3t9vGxCJSGCGYAhhAFUsp'
b'yKn7pkgpbr/S5/jpxx//LdHvf/97IlJLiMi3RXN3nERvafAIMbfe7EEOjNZaTvc1LWLxdUIa'
b'3AswkVMQAokBgiiAgmg2RYwl5DGKw5dqb77Bq4e0thBEQEINO3rbgTIGeCy/rZZSjrPnXpN+'
b'M5HQaF8cXW6pdz1iIUSmYrPiOSbAJa5AoHDIzg6YVEJZOoVLWKxN3YwRIYwQPRwiMappLHlu'
b'W7lycfJ3ja5rkkBMel0HRGBkGMEAAICD42MpLpOafJhPTy+IiCQsEjBaTjPNGcFyIYNPvDlE'
b'IIcQRXCYCEGtNT0qZkag6Y0BMyMFhqczXbbajntEcC2ndqa67fugD2Jqpsc5GgkA0RzUAoBU'
b'/X52xqRUghgQJAtHimBBB/Ru1k9tx/v7+/1+Bw/tjvSA28aES6WfQZMyFeZGGKlpjHgcRylc'
b'68eAKKWc50mE6pa5897PFRDez362+012CjB3CxUpL8+3v3358vZ2h999SuuPJBajPTo43KK1'
b'1rrt+55jy3gjIkTk7BboRNCanedZpaz5vMxL2lAZ1FMP8URhQoAEXqf7mFtILkkO5Idkmyzj'
b'k+d3BDfDEQPwckQWPQsAJFQjCIApkNWtm4mIerIXFAB0CAc0N8bBBa4BoVaYgNAUcLhK4AHL'
b'ag2o3slSTs0AACAASURBVIRVZHk1jQsjAcSpHbK9lQVm+iqi4wUmBwCBgEQRrm5IyIQQVoUc'
b'SVtrGG4+jMBDkgjWY0REAo4I00H6SUQsnMocANAH0oqCgIlEau/dLBCNRQgiaa9c+wrZI4bO'
b'JSNUoZYAdI9s3EfEgXIGW6JOHkoomZPP3dXdVZtITY0zVb2f2hrcitDTzTQNE/auiCQSgZD+'
b'x9EaIwWCa0eOfSs/fPrw+cvr69t92/zptlGEufM0WUSEmnlH6YkEI/YC7t49mCE1epoqnPS0'
b'IzHV/RZIZr2rAVIpqYvgBI4EIqTu4KneGxFUCu97Pc+uOvhzARCJwTUiRMgMfdKsYaQgLiKP'
b'yDCngfas5ENhoSLE7JCceLB8i2X8px3+/vBJg5v+eURMKiyICCSkSXHnjhla++hpBzeAZI+A'
b'QHwgbdZ1YWjNf+Nkrx3qMWMvu0YM4GXQnPyZ8knFaJiebn7FE6H4Xdac0CEGrcX6PY6JpReC'
b'2m++9b94BMLqKh6hY4ahGIwDiWtmOIF8v3qewPCRldCM33Ck/NeT/HX5L1gfSGc0cROpicTJ'
b'sOxxv9+pbPvzk4af58lV0gNEDxBure3M4PH09LRRAEBl+eHTpwAws33fD6St1GV1y773OCBC'
b'RF5eXu6EpZRauLV2u92+HEcoJFNvVgCsnd4VZUPEfrb7cT69PCec1Y6eYpO999a1Pu3CrESZ'
b'xrKu6TjlG99KvZv13ll1//jhvB/9bL7tKUHt7jjDeESstQJhtrpgQC0FRKqIJ5MgEQdkZkFE'
b'9Gs/1KAWZlaIa7qHYuikrBmCiIIIQYkSH26eecoSOyKRC/HQWiGasqjfpHssQnjof+d6jQhM'
b'WeB1Dz6F69/e3ka9b1ZDEr6SCwen+OIatwZAKofXYmb3+/t//af/ZOf7p5cXhlBr+9Mt60GZ'
b'6MpUXKJp17rKib3yExlHPj09rY5bWJgW+mYF4lAD4CFaO6AF+j/+/Kf/+//5D//wD//Hjz/+'
b'KFKSJhYv+enLkkhRFey950ofKZbJOTWfpq1bfsSLD1I+IEAmKiwAg/UiM44vLy/Pz8+D7wXd'
b'cWQdMqk2dreZV1vvONdzrfW3v/uRmVs7xgXn+DM+/vmQlvsF082iiU62yUmyToIz88Fza4zE'
b'LuDK543KBF4qP/P5oF1ITtY7WhnBQXkZMfpBCZk5qW/WFddmsLIaC126xr9e1vrT6mle8yfi'
b'Ieyw3u+6QZwJwsxMnOd5v9/v93vXsxRJZBeEJdOqWT+O1+N4P9tb11NVzbK+NLuY3Xs/VZuP'
b'XGaGheOvj3k1f86AZ1T257Hm1WO54pjP1+m93jIRlbLVsm/bvm07SS11J6JwTAU6HmDEVeWo'
b'mcXMAmVeMSbMLKc3zSoEzbLSWvWZaP955ixvHyOEMSda3sjnz59fX18zPxgXbdpcApkUSWOy'
b'1kUM8ofRVf/6+rqkHgYUPjC/0ntXHVLwMnXmYZbprZ+32+3jx4+99+NoEJSgkSxb5V2sMkJO'
b'4LzQyu4DQGZWKstoKg3ESeV5taT5POlSfIOZYU0me5z0Plf3Ih/m+tNaJlczbRPptG0bXxA4'
b'OBNC83larr/lxKzFfp35MIt7a0WkoXjs8fPzGYBZdur7oxIYwx7PIsNcbcxljedqSeiCTco0'
b'HjP33l9f3+/nYWYBjyT9rEF9P5457NwaLJdURmu9d1V3G0WG6w1en+T1wa6B8VRi9ot0yXpc'
b'OGtfs1J9sWYe6LFv29PtNusM0G3I7mZvd2vtfr8f7VR3nOy3ZjaEL1wL8cePH19eXs7zfH19'
b'7+qeW++MP0Vk3/eMxG5bzRpF1lojwiwlpYcNXw08yIWwaofWtHfNXEBE5Nf5Yj8z0Zj5yzSA'
b'K024aoB5OUrE9S8UITEFXxHRLLf+bzLWVyu9Zv53x2VyEgMnW84y1DQT8Gt25VvLanzyNF9M'
b'kQPAtRfiOpjr2rzOh+92k/Wx6/CuBnBZv+++chlEXE/oONL/V/wNIjpm2i6xQ78gg/AvX+Xn'
b'h33L95/fZcDQK6b/V08bk6nmu1+uT66ff2lIjgEEgTOwMbNkqmCizI88Pz9HRBtgXVLV+9u7'
b'9WEAs+3E3Y/jXVUp3M0+f/6cL/E4jswOwxSzf3t7u9/vIgKIX95egTCT68x8v99XNj2/e55n'
b'rp0cSa315eUFAI7jWJEnIpZ9G1JCqu6+15rJaEQkGNKBOSX2Upl5US8ui5cqe0ndl6tyeSa5'
b'xOY+MgtrzJnDOo6j7ltKqbp7KTkSWql6mFXiwdkw2RebZawuVYowawJiHcIcPeVh+1raOgu2'
b'6+rrbS7jlj8LcUGKACRmCLq/n+n8XVtv86R13zfm93ZuKGVqI3fVivTDp9+UrSLG/f7+z//v'
b'H99ev/zut7/5zQ8f3c68YkxoFDO31r+zEUjL4lgommqo3epW6y0cU7VgyrYTMKXTH48gftr0'
b'5ORybef9H//xH4/j+Lf/9t+VUpjFzJhQrQFhAKW8EcyQOqMidw8ihWDC1ruZbduGYYBkZGYW'
b'7ogB7gAhyVyNQBDhmqgMQtKuMDfv9/dXIkgOU2Kw9qBRGzw9zBnYwfRmYCpNmhli9POOiIaM'
b'AIyUokH55tLrnWz4YzNeO9lY5EgOwUVIuLXmbqlgj4gBBgl5nxNi1DFCE40SEQCEhIzERF+/'
b'fp3Tixgevmxu/GnKfSJ5IgYNaM44ZiBkItn3p1yuy79Zs3PeBPs0qzYfqk+P5DqhLdQfKB0w'
b's6QxTT8jSSQdwxHCMCLMB1Oqr8AdMn1OiJgKnfl7C++9c0YtnCVFIZQ5VcysN+/kLH6m/jQO'
b'fpuOE5YWEQE6SixqKJJsmytr5SmTbhbMtjShYO5pQIAQEMgsmXPKVmCiLG+AgUiVsk32SUoo'
b'uFnH5NaZS8zdgbA3LUKImJnv+dgfHRFZ8SQCZsyFRUOzIYc8Cl4R4WFuEKl7AXS73Xrv7VQR'
b'Sbzc2nph+qarsSHd/dY0AkVKmPXei2wfPjx//vw5CwVn60QE6EQUk3cLEQGBmTfBcD26MnMt'
b'RaNHxFbkN58+fY44z7PIDSCDhxE+5VIrtTIXEem9d9OSnA/aHw5i4PPz8/v7ezfdZAtAt9Rw'
b'JQuEAA1wBBRGpIyPEBGBCQk5MfaBiA5xzofsYUkS0rsKCEw01GMjeRCDzHaC+dxG+AEEALp8'
b'cQwpEkhJB5ZdwuFIRJjvBNGyOwFA1YkIJ2yALpoha6f3lKEYW75FACKnZC8zR967BWKChNJd'
b'HhTXyJL3Ad/59IOw3zH1rRBFMvUREQEZvGECCMcpI8IRkIVscGvmqZiZHQCgdeNwkAuqx9S1'
b'O+9JSUr5KGbIny1hK9yFGQCMvQMjIKaU5AMmh6O4AZA0zam/YU5Et30PdAwojFIy2AMMxKRw'
b'0wCKQHAHoRKuqooIlBkTkpeXj93j/e3+ej+4lttWCEHVahUmCvTzNLXAmd0Ytg4sb4SIECXC'
b'jt6wG5EAcQT1jJZAEZGZAAdXWO/dAkV8r6kdZiJSq6jS2XJslI4OzCr6Ko/TZGQOR4/R2po8'
b'V4jFXMNMzb7Dulxdxoc3eQEIISIEEDx8ERj+NyBieKRKUSr+5d231p5LwWBOUrsELQxDOnaJ'
b'QelD3wcAaU7zWNvutS4QAI+q13RF1tO4+klwcZ7gWxngmCS5cQk5rs/hF86TawcHo+7jUfyK'
b'/3/VE4BpHBDR04XJPTYMcOpg/PoREZBsv1yQyUc70C9ECKNwDzFJJQFma+n6DEOIUCllr7Uy'
b'wTmizfM8reK2bUnvtT/fCtBeaiJVVPWl1kLMWy0zQfny9CzMiLjtN2Da9x1Gqxvebrc+n/m2'
b'bW+qzHy77QBQSjlas1lnYuYO0FrrDrvc0hLej3P/8JydQt01IrppYuduz7daa/Ti7udkoosI'
b'NVVVXp4JQOoZ02xaSb+cJ3YOZ9SahZFAZBFNe+muEX3YQw5CEbnf31VNhdwBzJqiu/fz1Gax'
b'P3KX6VGomojgxuSWjzfN2i7FPBZgmIi4SCnUnL7JccRg7uGHj50FNIQAdx/IkN77vu+q+uXL'
b'l08/fIiIdAgishw67DtmzxDE4g9mLog8pGfc23n/4x//myD85sdPT/vWz5HwBg6RgRpcoUlM'
b'GQWCxypJ6HwWg3L/4CJrCX23nADAXQfkmghAAcO834/33vu///f//g9/+EPvVgoRkVnLEmHM'
b'XSJmTgIRw11EmPE8z8DIAkXvnXHkVNx6RDCShSe8JsdiYWYtAplZhMC89ZYYsqQQvd1uPpUy'
b'iCijxiQtQ0SRsihZZjoflwl8e3sjgqfbRiSuRt9kQR5KrunYRUQ2zq/EmLt3s0QxrVpB+hZw'
b'eaRjws1YCGABZRyQIhwtjuMdY5VfwjSQHuQeOWGzcZ4ZiUjS2x7eLgQOFyTRqHFJGcZMS+Ol'
b'scHdUyhq2DsIRGDGUkqEq2qhMj4/xPNGes8WsnZGmOnzjyoyQI6h1koYEVFrTf8j6fMDnRCI'
b'wMMwAB1HVxZBOAYY+GBszbYTxGBiYlhxC0DWqQ0gAMMtPCxBeqoNEWGmk4/jWKs90wwxk2/f'
b'J59mSm84MdmgTJnap2yJBgC3cHQAJyQzYyYZwdjI6pVS+zEEAURobk8PREd6w+k4MrPr2Flj'
b'OKk86uTJJYDgpgBUSkHAWitx4sIeOJ9lKDOvExEi0vtjo8IAVf306dPXr1/v9/PTp0+lsLub'
b'tm3bkmp927a0yxmueOBgjSilKDYHZt63TW97IMUMgEuttVa3TkQ864S5qN19e9pExMIBQggs'
b'ECJKKbfbzcyYStczqxQ4mobH/FwxdvLKCdfFCbh897z9UkqKImUu3GCU9dYyvGYZ0w6n6nn+'
b'Pk1uOwcvGY7KW02WzOtOHDM2xtnrlmyeaRNKETODERI+VCnynWZ8OGwgAniAu/oEIwWqmUNU'
b'KUSU1ExXG76sTZ7Tv5Ve2krtzQyi9w6lFCYmcA8z41Iefn7G5HBx1MKsa7L6MgEgt9bQ2MlX'
b'sctiiFcgLm67saFcK4SISJMGbX0+25HH7I+xItfzNBvMS8OAdOUiwGwTPmUWwugGIFxKZWYD'
b's3DrXmXzWOsYM6WeJvfjpx/U/H6cA/sKQ7KKmbs1EVHrZpY7Qm9NpKLhGX0l8BAZ0o/RYIpU'
b'zgl3Nr6f/WkvQtn7bRmejDo2QbeUcNlrrb3nTsRrYufeNBBxlKjgx8ycKaJhnLPukVPOAmnm'
b'LJaxigv7/jrWxp0XHUwTib3N31MgUJiPpvNZtSYiCRqZh5VrdyC6wge+CT/WGAJm2Pzt8djy'
b'vq1arC3D3Vdhe502V4Tp7JP+9rtwIZW6mu51Zvilw38JJfUvH9dLr39GevYP3/FfQfJMO5ZQ'
b'6v+dYz2ZQXgCge5hXohrrWdErrWuCq0f93sHCKIgJKLeu7ZuAFUGLYaerWw1HHrv3am1xh/Z'
b'2tla47qpKmfZNpykOoS2Dh46hA4frSBZQTV1QkQfWP+0+TqbaJm5Fq6BEXG2s7UW+5OIVBaa'
b'ikCC5MMtGaomq1F41sEsWjt6eypF3bppcGaWKSaAM+c2l2RcGv+MCGQSFhJmbTn5g7DedrRA'
b'ptDMROR8w9yZu3YMUxGY3b3neTqYLWGT3FDCYvA1POZJuhxzBx8Io2WuxSA8HIWD8G9fPv/0'
b'00+npiuJH5nFiYgsoNbStQUACvfeUcq+70O+p2zdnJqd2v/4xz++fvnp//zD7z+9PBM4EdWt'
b'AkBrbbu9MHNr2k6ttX54KqoqSOrJNEuqum3bcRztPAAxwjyUBioLffjNnDdyWQPIRbS7CAdZ'
b'7iBfvnz5+7//+9/99vduIMJNGwBk7alMOLtZH1qJCffsnZnT4VjZI7W27Vs7z/M8M3XroBkg'
b'5w4NiObWe2/q6eigRwSaRjv1bPpv/vBDWuH8zfN+y2Y+jxihdUC4pnwjOBJiMsa45f6CtVYM'
b'0Nazb9+nmr2qMgIR+lxsWdfL0luWdFXV3Fc1eRS5GDx0CAVf6PlsCJwmpvxhTbZ9e3u/C9Lz'
b'x2fi9E0jUb8Lc9m7ikh2+jJxBjCZA8haWG7JW71N8zr9XUTt7h4kD5syWo2TMAvDrTNT713V'
b'juP+9Lwn2qJ3NYgCICJnb7nakzl12Fwn7SPxmQuHUBJtX0pBcEKRUgMSCaPEIkLuXmU0SCEQ'
b'IBqEec8iOLiLyNPT07aVgU+DBxdeLHIqJHcPB3dlJFfLHnoWAQwz2/f69LSramZPwjWRQtN7'
b'oGHFCSMyTSJAmLrLbjZ60xF/+vL6429/X6uoatlvdgSgmU9NWaZ2nlVKKUWt11q963m85yAZ'
b'kCDMtVIRJkxYaXgQhGs7OxF5H6YklXHyDlQVwFs3ABTiiHC3p6ent7c3pkhNvYgQGiyEOFsJ'
b'86Vv25bxAOWKY2cqz/stXXMgLqWEa/KcAICImHm2sohIABWsHhFztW4ixWLfa2utpTQ1PpzU'
b'nOgJ1spN4na7la3e73dtve5bKcV7Rxz5laM3alIKg1k4AVAAtW7H2Z+entTiPM+IKHVXVYfw'
b'7N8Qzgvn3O6m6TplDjXlVogQgs+uxMjMJbgQO2DvnWmsCzPL8nQGGN0sApmHU+sQ55ECEV5r'
b'RWA3m0zsFBEEKMS990TumZk7lLK52nd9UOPJeGgKKRECAjGBI5gD504TBGAjlZ5lcVuRBlwA'
b'memrpbQIDekfdZBt2+7tHIy3lFVPNnM1oyyUuS8a55V8TeghmDa1iNgqA1REHHq6MjIIAJAs'
b'FAPSkHVdQgvPDSWQHSgl6gZ4zIMQIzAcmMnDzIOIkIcG8OwYooiQWrSZuzMk9xdmFoyIzt4r'
b'pZJjjh3T3ewwpIKNQltm570HBHGp28vLx799/utf//ZTRHx43lIGcbCe+/BOILyUkt8rZUPE'
b'9/NYsZbU4i2Oox/ehHciAgI1t3BRcVQAkK3uyIn4R8ZSeGdOKJ6I3G639/f33DVk8hhm0UBE'
b'mj5S4D7JJ9w9kFeRBCdyuJQabrASCaMOjxAUkRSfD95VnDXqfMMx4PWAiDYvxESmAYAkrB6l'
b'FNceRFOzObcqJEIAWDQA01USMwtheIQZDwU0/xYgt7zYmKmivLv0jHFmpvMY+d2Z1PhmMDOL'
b'j/CIqBExwjO+8emHEZEjOkIiTu2R2X+I4v3P+NzIV81BgFl8w6y25RjMKWmSfnYYRHaRThgh'
b'TLlVsBjcJ0RkEJoMorM+k0PIvWBy+IUwVxETESZgY2Z0LFzg1Fr3yApe2XHzJMXX8E2KsHz8'
b'8OFtxZyDkihyk2bmfd9DjXECYxCrlJjKu2PzSpDn+/tzzQRxZIP+cRyH+q0IInpX6yoiUgsA'
b'WHMCVNUO3nvf8amU0i+ZNTOjWs1cdeA4OL13AJhBqQIM/2q2AstkWSTibsZCQJhCLoAhAL33'
b'IAhiAAzkCLy3UxV7dyZ0IHVr97v3BvDEpQizaz9b24qYmdRahK03LuLtcHchQkEhPu2CjkYg'
b'JBzewkhX4TUMuETIK0SRzDmJyOvr6/v7+6hcu99ut33ftyp2gaerqptykZeXlzQfddtkv72+'
b'vj49f3j/+vr5L3/+8cOHIqTaem+3201ka72r0/6EzGyT2qnKyKWVQAQPcwI4jvvb21tElFIz'
b'WW5goQhkhJzzDvGbUJuIWju28uSuhOjeP3/5yaw/PT3XWpkKIphrRJjJ2jAeMZMZDvq5ECnH'
b'/XR3TARbRGWxlIBOryIh/z7yO1OqydUt3HtCTgNyI39/f7/dbk9PT8N2T/873CtLRGjvIhyD'
b'dPySwJivipmTdpMIbZTXib4Rk0ecgX6u54XbjnksqN81W7/s1HfTAmZlRkcunwI5AjJ3m6tU'
b'oydDiIcTPwJQM0N48DbmYFiEuaj5qfb19d3M9vpxvUQiqrUmqiZxqPktmT1hMjrCLOEErZ3H'
b'cey3xVkByQvOMt5p791jpH8AYFYyZ4bbCfChD4+AgRAgQMIQQIIUFFm1W7vFmKXZEEwZRGDw'
b'BNm7JziNkTypUUfzmON4loaAEKHr2UZ4KWXf9+MY+3q+Kb9g8fP/cY0lEJgIAIPIESmcGPf9'
b'pmpEqVQ1ulYA2IYgLtW6924RuNXbcUYtFW/x/vo2Qj7T9D8StbkKMmtHzELWhApIRGqyjMxi'
b'4RRpDkS8n+/v73k7j3m1ks256OCCuB25/PEuBiDE1bKxRFVpOiWImJqjCyIcEWre2ulmLFVE'
b'zvNkREZ86712KQitNRYgoiJJMezv7++928vLy77v6+4QkZG6GWedAaE1yBTp6ntJtGUymMXU'
b'rEg04zK+BoFZzCRyDGZ2GBxZrbVsMYoIYAr1dCIRkUUiIoGLa9W4eykjWHL3bdtm9/mAYma9'
b'dBlqdyfh69Pmqb9Gk7Vsvm6DKcWavyeAmYbNRt6Zpsp8JyIiOAD6pbMIh6+//Lb1Tt0dJzpx'
b'5sl6IO37bv1M50wt3LSypJz8FbQQo/zIZmoBCb9hDGJ0962KWqhlv0QwM0t19z6rjHBBn6/t'
b'LWbxyidCtx8Nvq0/I/pIJcpDeR1nB0itVbX13iUEIDDAzDCgMHfVAXDkgIBwb71BIQVwSXIU'
b'6qZqbg5UsscMSylvX1//+tPfIj6+PO2umjkpm514ZoZo7iYkPjVtulv6edaVSEpBO/XorZRS'
b'iA1cgNSDPJcJSAkz6t0iPN9zEjYLMQjatvWm2bUMs+VGVREHLDBmhdbdR5380veC35NZwTJi'
b'aa++21MeX1xC4N/+iYhUzdEJOB3l+MZcmD+wNt8f8+1PZCwMZDYz45yWGazCpTK8Rkj0y873'
b'WjXX3+Bs+cPL8fN7HBCLAfqfYMhZVl+Mhf+rBYCYaJ1VnPn2CXzz+4gEuX2DRwKA1FzIPMX1'
b'w//zw1h3mjPE1M/zlK3GUMiy8zwRxdXiVgFAWzvud3r5FGqOcRzHXrfjOBSgQ8Bk78lhHL0d'
b'hqTKz4zxjX/ia1XjiLZrrYWomGrr6VMxlf3p2buuOZyrJnt8KX9TCyBEU3M/W2utRd0RMfE5'
b'qhoQWRjpvTNjXPyZHKo7e9YxzXDfIFNUEed57oUEpZTSEGutgcKFNylo6ppk34O2lkXYHAgd'
b'CIlk283ck8UhAidVUTYXau8AgUx+aQsUkQAcEFkG797DFDCbSzFNWS46ouGXwGPG5oISRMwd'
b'ERE/ffq0bdteZayN2bOfM6zWWmvtbq01RqBa39+P7raLwHH+5c9//vOf/3R/e/03v/1NIUYA'
b'nVoq9/PwJTx5OURE+5mD8VAAOO7vpo1FcFXZEnxGlMw6yQsx1aqTf90IMMwJU0D8+NOf/vT0'
b'tH94eq4sQZAk7ABhZil1j4g4KvtuZoXQYSBuB07GLSKKSESY93BNvoiRtJhmISmqIpKoJhDD'
b'OxytEcnTU319ff/xd7/dnp5H/263TQphuGuRQc2ZybDl9iXoFAcXuIZZrVVEwp2zmgwKyGae'
b'4JrxapIZncTMLHME/Njj5VE+HpYdLi1T190XFgwgIJPQFkgIllKUI8fQe++4bY5uZqXWPD8x'
b'uA+4oNlIyLk7ItcqfrZchNdsUMxWpGZq3mu5bduWuOrRMA02fW6gACaySTvrl6bGNO9raiXc'
b'hQY46oHZmHc6ytOUSSRkByYUZGT0pAU36xFBFzeCiLI3lwAZw6xDIAIR1sWqku4p+BDdc3cI'
b'IIIgRwT1AV8xMwAUqSIqUvPh53vJlXxp5ps7R0CAhae8IoVbemWMtN32L69fU76SuCT7TebF'
b'k+HnSSRJdW63DRv23j+8fLLurR3unrnl1au0LDuGhztklcqxdVOLUuu+7+ZqXc2AUAINAdUt'
b'605f398+vTyb2kC5IZobzb5/n1JNuR8zcwDoeSIiegQbM/d2b2fHvZppFQpMV288IiFQdZfk'
b'toJZGCF0OO7H015LYebS1Pe9JruOqVIWSSF670fXzW0nhrnGuQgQHm8HEZHUTJzjgS31QBxE'
b'WLVFRCkZdjKAOWA3b/agqNu2LSdnuv5cOfpI0ZkZA0OgqvKg+XJvDoGSsxSAAHrv6euv/mN1'
b'cw9JT+JSVsYJTgXCLEHwdBzTu0oxTvBARph5ipH4DxBJXqJxJQgCIppkx+CB4AoGAUiElDD/'
b'sevn5H4gxXUQkXikCGOyKUDKE4x5FL5X6iErN+HuLmAOEBBIviCH4OHJSwGunZmZkLEQUTdn'
b'kVSadvcWKABcWepm5+nzwCU9sdp/U4kBhiBJBkXLVZ1bDHm4WdRazDog8KX+iblfAAK6IEaA'
b'exztxG2vtQZAN0XK8/vTvp3Z4O7JHiFoARCEIUiZ/NrrZru2fr6+vjPgLqPFECc8DLNRh8XC'
b'zIKLsGA/NMCJ0D2bZVkN+tlH1AeBDqrOSIgDv7cVAM+9D0TIHbI/kIhK4XS51EZAi4iB3FSz'
b'wePq167k/dopaDI9DBsVK88IKSXxeLbf4uBXeOaXwGHZwOz0Q0AIcBv5e6DhTD8Sbxcf1MOS'
b'chsmVp6ZR/UPHXyA2+AygOFARuSlr5Ja326LGPFoW794ojjIIPIrAfMe4RePayCx/v8rDvfD'
b'fadv/v19iGIOviIHn3WJAA91V8CCMy0YMzS6bvTjjcgvE6zDv4AcWsmpVCNDZipZVkpmoTRc'
b'+76/vp1lq1nMlP1GqoxUpQT67eVZimzb1s+WkJvM8qvbqZ2Yi/AaVkw0F8wfMmPFdUPE4zis'
b'tWdhZiYSTyaD4aOM4DaB1llThTaoOaEKACRkwyYheC4lEWnazYznjmy5O8tgHI5SpBYyg5LM'
b'0Z6BfTapiIia3dsZFZtpFkRTEjKZOjO1Gu4TlTcpjFVj5VNyutpgj+CtIoZ1PXvP2mb6TkiU'
b'com9WB2ZSUqcNqWIarjCbNJKTyYbX+mx8oZ79Pr66u7Pz89JgZ291cl7k2sg25yJKJl5Xl9f'
b'05cys/M83f2f//sf//Kn//G8bxTOBEm4cXRVaxFBDDb6ohDQz3ZX1QyFTVu4h/bz/e1+f2Nm'
b'YUZwN0VwybI1Poj2v19XHizo0TB6gP/lf/zp/f39eb8lv0Fod1dGGPJVNPwbdw8wVQXTbKEG'
b'Fp8wvwAAF3lJREFUgLPdAYYIca3lw4cPK4W2TJhPimJfbNYTx5k5pFp3Zv7y5cvn16+Q1Z/p'
b'XSVwZY08o8n114eDDuPFrDLfyKjRKFP6BduQU0QnF/TyI3EWMWGWe+BbA7RM4fVhRqaB8XLy'
b'SVK073sthVa1/tJCkLEcTTahvFwOVVUzvs26Xmaa10rOkyxya58tm+ska+8Z+VEzpFgaFKt3'
b'HgDcgyjxuN+wlKxjhQH50iIiWychCJGBGJERBAIRhEgmsD7ds0yGUgCGo1mYxbLLGRuMwDA9'
b'NMynUZh5sIBJ5YkqzW+t4jtOikmcEfL1Y9+9tXRYcJKlCtfpVD0Mpapm6Tvd03275fdE5H6/'
b'T4RJElxSZv6SVIEnv41dGiKzeJrEiyK1li3TGCuB5O6FB2B3EMlfWlPW3Ms5fHl3DzWAHHbW'
b'f47jyL/6aFQQmfKlOKk51rsbYwjHsGR9fn5+7t26eUbOY90xr+mX+BxVPY4jI5903MdpbQQn'
b'53muqgXMvvwc6grk0t1PBQ+ZGiYDZUd0ndi0im+XU616y3W94HRhYxZJcrRLweB6tlUNX2db'
b'5sXdbdJ0JDvEmkvrQgCg7jaTlLk9rInnnnQfyAkVi29s7zI1VzuwDNd6ZUSEMYquPGUBmQaP'
b'02wke0Sey9jmJ0VEmIowIxD4jJBTktnSb16lmPUEVsy/rNN18NvkAs9b9kmGs6wiTD81jaqq'
b'EoMUypgqqTnC/H6/NzUHdMh+WmJAjChMi0wwbyETZ7VwZUEIYfr08cPTflPVt+M0QDfQ/pBW'
b'WN/NLGDCnTOKBndBIkBG2mt52gfOEwAiUM1VPdlUAUCERIbRW0svzCJMiBPFIUxE1FrLCsOq'
b'9l9n1Hgd9thEfCIMv/NMHybqUsa8WjCY6d743qtO3CnDrJ3mpQeyi/+lPP2aM3nCa2L7akX9'
b'QvIDl0jguwl8/f1aStevrHuhybF6Pe33hz/+um4ZEX+14fdfO2IW2683cr1H/7Y48PPluW5T'
b'uP7qsP+lI18EmQUiJt74PBrOGqaZvb291VpTOCgtbTvOiEgSkXQ1j+N9Pec0qvu+Lx/g50+V'
b'mZEJZegjAQB4fPzhU3oUaepFSq1VShERKWUZyX62ow2qa0mgICEu0+qW7XsAYOHd1GZM4pMy'
b'a+0IuVdmx3BrLeUFgnDN6jWj1n0lNDoXYIYcmS8WESoSEerGtcQ0zsudy1OJyDDghCSD/I15'
b'5NhyRyjZzwNgEOr23XTE+ck1B9azdXfZCls/w/q2bVVIVcMUUSBAiJEzZT76BnrvEfhye3p7'
b'f/3y5QuiMPP9fv/bT5+/fv28ifz48oKR4inRiVX1OM+IwMmFJwXRrd2bQDAjmKr1fFjvb69m'
b'ilKSsi9RH4gYHr33VFSlAPTILA8ABAEihHkhVOtu5z//9z9+/PhSZbOujoaIyBQknAwDHkIY'
b'5h5OgWDKhIwQ4Aju2gujqlrvT09PVeTtfEu3Gsau4O7uOigIEUlqdn9T1tQQ0aC/fn374x//'
b'SCT7vlv4bKs1d0wmH/MhBdN7UmBQsiUEZNLBIwJJUmd0vK25zOcm98By+YXfgyJ3a1Q194Hb'
b'xhHWx0S+pBVLXexMxj/smidHB4w9NfPua32Cex0KGt+YzmGsRYio+yipp5/EUz8oo0qYkoE0'
b'27zcPU/ee3d/MLUTQVY/wjwCBmo8YATiwUQSFLXuxEX1yA3qam1HJn6O0MwYw8xo1qwhCAUi'
b'Q/SAR99UZCLKIXAkiWYJem05ETEgkkmzPuQDAhEZU5zO5s6EUlIL3JJvKun287+MIAMiGZBY'
b'CBEeCTSAfNcGaDAxsAAZ3zs+EmwRQQTuaOFMZGqIeBzHhw8f0nsopQDhl7f3Wy3E7BrEhAiB'
b'ZAGlsJ+xwsi8/EBQcIHAbnE09VC3IOIVYBERIe37DiO9B4HoEVlicfdQYyLzAHPgrMmamRHz'
b'tm3v74e7R9hQ/exm6lJGGZ2ZAXyCW5iIENgxzA9zq1gBAD2ERrnpdrv99NNPreH2/BSuWxEg'
b'RkRzqJUKDj2v3ns7G+IIIdJx9+mgbFLa/T3UZE9oasbhFGERjghCQxF93/a0/niJZFwNGRip'
b'a0cBRAxzRhJiAlxdXCKS3BQw43nVpI4YMNyciRqXToZLDmK5TTSBNKMChmjgHggGWBhJAroH'
b'prwDUgYG6RUPWncgFGdATBoLI0rRDABIGi2IJH6ioKF7kL0ow9H34ExvB4Q5ALKwmdlQfY4E'
b'7jMR0QgMIoxYPCJFrzyR/Yk5iZELYAhBMAh3zaaCkurLs2J2jmYeJoje3UwBgQiRkAdg3YiZ'
b'mAyCIwjDrDOXCtx7z+5wiIAIkWKA7sqA7pHizAkDCzSiQoCJI0UUITaR3uzt/v78/LzvtxxS'
b'vVW1ttfaRtbMDYiYtskxgAimYeGAWOvo4zrO/uHlCcCBoJTNjkO75hoRkQhorRPRVgq4qWrC'
b'FTWMhTYq7n60RgQDThZoFhiAGExYy4i1eu+1VqLM3wcw1ypH60lT7u6mARwwxSgiLpVS92aO'
b'wBMAMwrEPFPLy/7Mlxvr5+ueFZcAFRZoJyDQASaFVOLRM8rCQdqLeNGPmNrzc0eOiFR8eeQI'
b'cLYRD+ZZf6SQ130BgCOgBy0WawACpnn+JLl/iBY/djqIVHQa30rnaKgHXO96OfnXX/7i8W2+'
b'Hy7/+uWwZ3gIS1k2NSUAwzzMYbZGMKBeHtQ3/wfm2QPwv9yGDABTAHH0npWiqrvURHjt+/63'
b'1p8+vAh5KcWcjskF19Fuz09BKLWczSwmT+j9TluRiiiMKzicDzBNa8b8XqT3Xp6ezeyvf/0r'
b'uP9Qqndtofd2OsFxHK3rUx0cIfu+b9sm1sKcaEbXSy1+pr3SgUFEYXbV3G1KKbWKaUdEEuFa'
b'RKRPfdUQIaLz7E/b7u4EI5815IkupOQeAe4GwERqVlgIw3LnEjGE1hptT0hUWbIZMrH8AKCq'
b'XEQB3dXMiKTQwwlxDzQzs5irDBaqc67KuR7Hw1yrLB+yHMfRWtv3fdtKNizG1DlCGq4GX/rG'
b'juN4etpv+9NPXz8jM0gxpz//+c8I8JtPPzCGCNfCZtZ6zxIJMAA4M2ZCgog8tLWjFBnZu/De'
b'W+9NpCBFuIYHiEQ4YTCCRiBB2OUeIiKCIBvJLAgh+p//v3/W3n789AMAaOskSERhwRGRfRoB'
b'ImKuEGEa2hsRqLm2k2qA29G7ts7MVeg87+d5IjwyH1dbQERcRFLncrJTu8Pr6/HTTz/95S9/'
b'+b/+3b/7+MOndEptCjKgLC0CnZ4NrzNPIhmHmT4MR4f8NNFEQq1Xm3NsRJmwfumQKdu4kHJ+'
b'a44jIuLRCLgyLjk5LGkEIwAw/fK8omqPb+kdVn4XVrKNiIgyOcrMeedErGdLc+ZACLbWW4bX'
b'ySK15KKSvl1Kycp1rlVt/f39PQJn1l8ACGxeEmU9yYuZ+n4TQgR3RwJEQopkvEUMRJ8x0iMv'
b'Ne508N4EAGb/7spDm5k7EFpEpIBmugiAnl5TuIfFeHNIicCG6cNlRuH6ANcP813A9OwHxRg+'
b'PH5egZ8nO+2I7pK5E9w97XIa6Pf31yJUaz3v7Xa71bpn66H7mVcsM2UCM1lr5l07Uq1lxHKJ'
b'BONkO7ZviGiQubWztS1Mw2Y5azbT5zRTVYgs2oCq+kQVZmoAAZnLZCOlcHUPQk58IGPJaCMi'
b'kNLoWSAAMkJ37UoCTWutt61kZahpE+GU7CMgZPaZ4R4qlbVuW03fqJRyP7sPKjC+36XrWfxR'
b'mckginlAWZZHfraWazt7dlfnwGpYys8vyP5CoSwTnIvUB3mRi4hPStCMahCx0CPJDRewL86Q'
b'YNVD1t4AAIsnF6c7u0JLRAwAdcNU+puTDmdWKQ0+QPICBQYoBAYkK4PqKF/QhHz4iPN9hS4r'
b'AZZ7fFwcREQWGcRlazw4eIcCiCoLLhG6CCKwQSn8SGUlFLZwxZm/X5Y5z5aGKxlRk60AzGCi'
b'PbOTe6VOcsDC8k2qDKyUghhEULjCQJnTRltAn+oEhYoURGGsZY+IraSIsrsDEXF2yYeCW6Vw'
b'ZIN45ptIfX9///L2Wkp5eb4RgbuKSPYp+WzrzISLDb4yNHMioEALI0wwD6pqYeaJxgEYGZ+k'
b'TbPZSwMLJ4lx2zZ3P7sjUa370drZm4iYGs3mnFwLqirufkHKhIf791T0y9t4PL1LMWc95OF3'
b'YnJIwMALQTYqzPw0ETquyezo4A/o7+WcYxu9Gs9vlkA8Sj1wIdqG4QYNV+lqdednL/d1uUGY'
b'DvearuF2/Q49gDfw3Wm/Gx787x44K6jzn0PcGha6Mn8fMIVlHp507hCISPhgyoJ/LT75xaP3'
b'jvWmqtt2a61JKXZvEdF7f39/318+nefJ5OBBvN1ut1KKugXFly9fPkpprd1uLy/7luCCT8L1'
b'6Qb6qNLE9G9oOtyFaNu2u0ialMHY1jsTA4y0INRa3TtRKeU7uSp3h8yvu3Oi7PZRDHT3JU1j'
b'c4OnJZ8yXe3Lll3cBxSk3vYt0SXTciJA8XKmyMYgReB8NzcR1aaqTZvcnvJVKoSIZNbM3cm9'
b'uzvGaBifNOi8VUQ+z9OZ6+253+8iUphlo1IKoEeP5AZcFmx4kwPr+6B7gUm/FRFyvL8x822r'
b'LNhay2Ymcy9yAwT3dBO5m3pwhAjxeRy3pyciar3b29e393bc3z++fHh5vvX7q1ASYIe7A1Op'
b'bIFmQ1RL3aQQUmnHyUzgSgQYZv1kwVoLAejIl6C7ozvRyGMDfjM/YNA2BlJob63f//M//aff'
b'/ea3T/ut945hhOx2dnM2k+qE3M16Q9VeWNz9fn+tVczM+umq/Tzf39+r0PPzRyY4zxNipg8c'
b'ANCBgIRxuPu5vQWhI6SWYe9nzpLb09Nvf/tbADjOs5ZRTvLReOeDgnjcS2IiwyOZRSmAWDja'
b'IUIWDmowKcCJ2LRfECOxsolu37Q3jSeDCMNvSMM6DDciJkf/NFXjZ1wg2sGfIFkgTqc5j3Rn'
b'DUaLSX7LLr0iGTOMEj+yuxdZElRbmLsNLr8snBGTmZ2tmdm+Px3HcaohIjGrKjil732e53me'
b'ySIKQThdIu1e5tqLAMQcOU3jCJl8jDBmxrD7/c4EHz58QARTBTh5lpjzkc7UTcAAUwcgwWio'
b'cg9N5mn3XBEIRBGOI5aAxKq6W1ItdTchidSJHBhij4C67cQCSIBknhlVMLOAzEk84I82gZKU'
b'jx6UcABzRcQBmur+RBEBPlx5s547vaOf58mM7nocysyB8H7cEy6IwtYxFaCkbiQF1RnJMUE4'
b'DQDKtpWtHkfrvVsAjgYMZwiY0k4RkKmBfd+3wm46Xq42RMzxEyM8UCuQlDsRIUwAaJMKdmnH'
b'uZm7ChXEAHQi6x2zoTnJY3IaZCzd+9kjWdRHJAPEGB6T5S4ikAgC2vTXx4YxVXWYmajTpI0r'
b'Iq0dsXndqmfh1TVcgShcI2wkdBPn1i3LmLfbbfKAhYEzYpiBe5bYYMHuYQxp2ISL2HDq/o5a'
b'kyMEEQ/OEJhMOwPcGI/VTQwieaeewmtAHFNwMAtcGk4QQphlMoBBjGURI6kZEODAlD0EKBjg'
b'4WPuQaC54VQaHl6+ByIQYHgUYjPzS/I4Bc4Tw5OcfcERWfJmJiyBlJmmHDq6MXOisApRhIVr'
b'hgAMbIMLNTVAUj9Y0sgU4Voku8YQAsKJGJnCs8k5GCEj8mQxKICVJdiaPVrzKWHV6ESYaN3B'
b'ZiaJFyDhDJMIkDt464bCb/e7u/72hx+Iipm5BTMyE1Ih8rMbImYejZzAnWsBxB6BLGIREV8+'
b'f/3bl88itN/q4EoqrKqJ1iUALpKmgYj2Ws6zOTgTg2MPE+GkEwjzzN9TQIpiRmh2Q3HZIglG'
b's4QG4R7pU3XrajYqYGAQhLMETZQtFKNL2JxyB4kYKrnuvnRk1r6D32b6v/emp0PskAsi1vLM'
b'F4EwWsnhX3OUI2zJAcGKHPK6c6tNEBxMEvP1gWxW+wVnf44wL5CeckSmh77568MJ+dkX13jG'
b'P38+cgT738HePI51L/BNbeQXIEC/dtDE6f2i8++pcf1LX5xey3CpuZQg3Pc9zFOprZRCzF/v'
b'79u+A2CtYg6t96ZdKgPh/nTLq74dd3L7/cePr/f71+P+sQojubuaZXOUzwkwHHHovfco0lrr'
b'ZxuY8t75qRJRT+RMa8dxNHd4eko3KSsVyzPZtq0cZeVFhqbYy0cpCSISAWiqqsruyMxVrJ2O'
b'IDnBmJAZmBzCZ1YoUwnrvfTWrFmUB8xBiANt6SoyM/kgPim8IwD0MW0KS90YVTGMAHgQHKO7'
b'gUFIiAgQ6dlyJqupnf0MREoyT3Jz9+QDf4RPgPj/d3YtS27bQHBegCjJu3vwPan8/4/5kocd'
b'r0QA88hhAEpe55LgtFVasiQSGAy6e3oSVv4AiUaEuPv1ek1vAwL0mBiVu211A8IUDyTgjQhC'
b'pXXNjmsiohBfvnwhkpeXFxGRbYswAqDC0ClZYEBQPdKjY60CUriFCJtp7ztKQQp3B/cpqzY3'
b'NADKji3w85Kb8BNG+Nevf/71x++//fpL5aK9I5EQ3Idp7yFIJMDYe6dMNTYyH6paq2AYACTv'
b'Uxiv1+t2Kvf7PVETf3Z1Tq3/EhIgos3SNaSIlLt9//7dzD5//vz29qZmqnqqIkJZ7PyobAcI'
b'MEBAfHQbxeW9nTNVRBLlSjw+G10dgtoP0MJz3Hn+KMzHGFkWDM+h9mmsWIyxMqYZ0xEi4jgc'
b'A6QWGBAxj7/ED8oYVrnYwam5u5SiZsLRx9j3fjqVXOR5VVaPFD611lrvAFDKyd3V43w+Z9Ru'
b'96Y6kKm1ZupyFUJxd6aZ35sZqk6eab0mXFPtw8Mxtff3d8J4fX0tRWYvc4SlF5/7ByKud55G'
b'DVl/lpiozyqdRE05Vd2Hq0OuIUoroUO5mkk/r5qNhDRoaeX90YHoeIkT6Vm72LJwJbKUJ+V0'
b'SgWIa05I94CgWmtrBsxmlsliKbWUcr+1vMP91s5bZS61FjPr+4MMdZ7VgbGQsxRuqU5pJiCF'
b'DXcv9UTkYygiELMUUlWzETI1YwmrJGwZi00ytaMTmY+x7/t521iEgEbM1o9mpgrg3lpTNMQ0'
b'9wcd3toAAEcHRy7kDoelhqoGD77dj92RmVM4zgC7DiJkpPfWVDUrBHLy9N5VLY2GADxrpk+n'
b'Mkabh8bkLiB67ynROyaVWe9t6qEPG5lUcZr5cbTIRhwZ+o8FmMOWIj+mg1M2s1s6YyJaNu0A'
b'ED5PzkesyMtZ5rnFV28BWcp4XLzcgRrm9j3vIBz2MBOLPKU4uDsyeQR5zGp6JDNwCB1KRFUK'
b'IsJC5XOm+RMlJSKM0EczSyJ2UkC45PUZH0wVAKSWCRBUkmANTX9MW0aBHhbEqlrkbES9jzw2'
b'hEceAA6EBVbiSMsAJCIQCT0cQohHlnlQKaXok7U8r4oUAPCIJIh672aDpST1BwFSazr5lqIo'
b'7K77vn/79m2Tt8u2YWgQEiOTACim0hMREbZaa2EAsHAwUABBulwut/d7a/vff78DOni4a+oz'
b'VKfwct/3YXrQO7mikRk5tDtSZAG6dstOFQBJkoSZO8RstAOTHZ1IR7i7M3PhGKpjDKl141Nr'
b'LWlDe7Ikcnt0v0YKAPeVUX3IJ464caQXz5v13DFT3vZj4nlc64n4oyPKYVR9EHfwYz3r89/H'
b'PmhmEI/8ONZ4zoyPwwlOceyHjeOR3OOzeHpBZscNc72s/4R/HUcAf3zPp137/40PzzZfxM8P'
b'/OeR3qO+EMwPP/8/jZwPvekYY7+3guB9ZA/NMYacr+6uruBBJNl4BzgA/N6a1C0izpfzp09X'
b'Nz+dTi9Ftm3TPki4EFVmjDyEz3rUbdsY+EL41fT19fV8OgOAiIzWRu9eKyKVWnHbuDVaJZS3'
b'2+1mfnq55naAGja79lLvvdKLiMAKpKnyz8KvWisz9949VNIK7H3POZMrUVWRpZSySU0tK4ro'
b'6gxzuZRRpN1uAZz8J7rLijCW4uqShJ5pljjSZBhCzcwwXEiYObpOuOboP4DIzK3rhKElCkuQ'
b'Cwhn59cEhiaynJa8U6IGT/YGEGBm/wBC8lSMvm9FkwAAAABJRU5ErkJggg==')
#----------------------------------------------------------------------
Info = PyEmbeddedImage(
b'iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAMFmlDQ1BJQ0MgUHJvZmlsZQAA'
b'SImVVwdYU8kWnltSCEkogQhICb0J0qv0XgSkg42QBAglQkJQsaOLCq4FFRGs6CqIomsBZK1Y'
b'sLAIWLA/UFFZWRcLNlTepICur33vfN/c+e+Zc878Z+65880AoGTDzs3NRpUByBHkC6ODfFmJ'
b'ScksUi/AARGggArobI4o1ycqKhxAGe3/Lu9uAUTSX7eSxPrX8f8qKlyeiAMAEgVxKlfEyYH4'
b'KAC4BidXmA8AoQ3qDWfn50rwIMRqQkgQACIuwekyrCHBqTI8QWoTG+0HsTcAZCqbLUwHgC7h'
b'zSrgpMM4dAlHGwGXL4B4C8SenAw2F+L7EE/IyZkFsRIZYrPU7+Kk/y1m6lhMNjt9DMtykQrZ'
b'ny/KzWbP/T+X439LTrZ4dA4D2KgZwuBoSc5w3WqyZoVJMBXiE4LUiEiIVSG+xOdK7SX4boY4'
b'OE5uP8AR+cE1A0wAPzWX7R8GsTbETHFWnI8c27GFUl9oj0bw80Ni5ThVOCtaHh8tEGRHhMvj'
b'rMjghYzibTxRQMyoTRo/MARiWGno0cKM2AQZT/R8AT8+AmI6xB2irJgwue/Dwgy/iFEboTha'
b'wtkI4rdpwsBomQ2mkSMazQuz5rClc8FawLzzM2KDZb5YIk+UGD7KgcvzD5BxwLg8QZycGwar'
b'yzda7lucmx0lt8e28bKDomXrjB0SFcSM+nblwwKTrQP2KJMdGiWf611uflSsjBuOgnDgB/wB'
b'C4hhSwWzQCbgtw80DsA32UggYAMhSAc8YCXXjHokSEcE8BkDCsGfEPGAaMzPVzrKAwVQ/2VM'
b'K3tagTTpaIHUIws8hTgH18I9cXc8HD69YbPDXXDXUT+W0uisxACiPzGYGEg0H+PBgayzYRMC'
b'/r/RhcGeB7OTcBGM5vAtHuEpoZPwiHCT0EO4A+LBE2kUudVMfpHwB+YsMBn0wGiB8uxSv88O'
b'N4GsHXFf3APyh9xxJq4FrHAHmIkP7gVzc4Ta7xmKx7h9W8sf55Ow/j4fuZ5uQXeUs0gd+zJ+'
b'Y1Y/RvH7bo24sA/70RJbgR3BWrGz2GXsBNYIWNhprAlrw05K8FglPJFWwuhs0VJuWTAOf9TG'
b'ps6m3+bzD3Oz5fNL1kuUz5uTL/kZ/GblzhXy0zPyWT5wN+axQgQc6wksOxtbZwAke7ts63jD'
b'lO7ZCPPKN13eGQBcS6Ay/ZuObQjA8acAMN590xm+huW+FoCTHRyxsECmk2zHgAAoQAn+FZpA'
b'FxgCM5iPHXAC7sAbBIBQEAliQRKYAVc8A+RAzrPBfLAEFINSsBZsBJVgO9gFasABcBg0ghPg'
b'LLgIroIOcBPcg3XRB16AQfAODCMIQkJoCAPRRPQQY8QSsUNcEE8kAAlHopEkJAVJRwSIGJmP'
b'LEVKkTKkEtmJ1CK/IseRs8hlpBO5g/Qi/chr5BOKoVRUDdVBTdCJqAvqg4ahseh0NB3NQwvR'
b'ZehqtAKtRvejDehZ9Cp6E+1BX6BDGMAUMSamj1lhLpgfFoklY2mYEFuIlWDlWDVWjzXD73wd'
b'68EGsI84EWfgLNwK1mYwHodz8Dx8Ib4Kr8Rr8Ab8PH4d78UH8a8EGkGbYElwI4QQEgnphNmE'
b'YkI5YQ/hGOEC/G/6CO+IRCKTaEp0hv9lEjGTOI+4iriVeJB4hthJfEwcIpFImiRLkgcpksQm'
b'5ZOKSZtJ+0mnSV2kPtIHsiJZj2xHDiQnkwXkInI5eR/5FLmL/Iw8rKCsYKzgphCpwFWYq7BG'
b'YbdCs8I1hT6FYYoKxZTiQYmlZFKWUCoo9ZQLlPuUN4qKigaKropTFPmKixUrFA8pXlLsVfxI'
b'VaVaUP2o06hi6mrqXuoZ6h3qGxqNZkLzpiXT8mmrabW0c7SHtA90Bt2aHkLn0hfRq+gN9C76'
b'SyUFJWMlH6UZSoVK5UpHlK4pDSgrKJso+ymzlRcqVykfV+5WHlJhqNiqRKrkqKxS2adyWeW5'
b'KknVRDVAlau6THWX6jnVxwyMYcjwY3AYSxm7GRcYfWpENVO1ELVMtVK1A2rtaoPqquoO6vHq'
b'c9Sr1E+q9zAxpgkzhJnNXMM8zLzF/DROZ5zPON64lePqx3WNe68xXsNbg6dRonFQ46bGJ02W'
b'ZoBmluY6zUbNB1q4loXWFK3ZWtu0LmgNjFcb7z6eM75k/OHxd7VRbQvtaO152ru027SHdHR1'
b'gnRydTbrnNMZ0GXqeutm6m7QPaXbr8fQ89Tj623QO633B0ud5cPKZlWwzrMG9bX1g/XF+jv1'
b'2/WHDUwN4gyKDA4aPDCkGLoYphluMGwxHDTSM5psNN+ozuiusYKxi3GG8SbjVuP3JqYmCSbL'
b'TRpNnptqmIaYFprWmd43o5l5meWZVZvdMCeau5hnmW8177BALRwtMiyqLK5ZopZOlnzLrZad'
b'EwgTXCcIJlRP6LaiWvlYFVjVWfVaM63DrYusG61fTjSamDxx3cTWiV9tHG2ybXbb3LNVtQ21'
b'LbJttn1tZ2HHsauyu2FPsw+0X2TfZP/KwdKB57DN4bYjw3Gy43LHFscvTs5OQqd6p35nI+cU'
b'5y3O3S5qLlEuq1wuuRJcfV0XuZ5w/ejm5JbvdtjtL3cr9yz3fe7PJ5lO4k3aPemxh4EH22On'
b'R48nyzPFc4dnj5e+F9ur2uuRt6E313uP9zMfc59Mn/0+L31tfIW+x3zf+7n5LfA744/5B/mX'
b'+LcHqAbEBVQGPAw0CEwPrAscDHIMmhd0JpgQHBa8Lrg7RCeEE1IbMhjqHLog9HwYNSwmrDLs'
b'UbhFuDC8eTI6OXTy+sn3I4wjBBGNkSAyJHJ95IMo06i8qN+mEKdETama8jTaNnp+dGsMI2Zm'
b'zL6Yd7G+sWti78WZxYnjWuKV4qfF18a/T/BPKEvoSZyYuCDxapJWEj+pKZmUHJ+8J3loasDU'
b'jVP7pjlOK552a7rp9DnTL8/QmpE94+RMpZnsmUdSCCkJKftSPrMj2dXsodSQ1C2pgxw/zibO'
b'C643dwO3n+fBK+M9S/NIK0t7nu6Rvj69P8MrozxjgO/Hr+S/ygzO3J75Pisya2/WSHZC9sEc'
b'ck5KznGBqiBLcH6W7qw5szpzLXOLc3vy3PI25g0Kw4R7RIhouqgpXw0ec9rEZuKfxL0FngVV'
b'BR9mx88+MkdljmBO21yLuSvnPisMLPxlHj6PM69lvv78JfN7F/gs2LkQWZi6sGWR4aJli/oW'
b'By2uWUJZkrXk9yKborKit0sTljYv01m2eNnjn4J+qiumFwuLu5e7L9++Al/BX9G+0n7l5pVf'
b'S7glV0ptSstLP6/irLrys+3PFT+PrE5b3b7Gac22tcS1grW31nmtqylTKSsse7x+8vqGDawN'
b'JRvebpy58XK5Q/n2TZRN4k09FeEVTZuNNq/d/Lkyo/JmlW/VwS3aW1Zueb+Vu7Vrm/e2+u06'
b'20u3f9rB33F7Z9DOhmqT6vJdxF0Fu57ujt/d+ovLL7V7tPaU7vmyV7C3pya65nytc23tPu19'
b'a+rQOnFd//5p+zsO+B9oqreq33mQebD0EDgkPvTHrym/3jocdrjliMuR+qPGR7ccYxwraUAa'
b'5jYMNmY09jQlNXUeDz3e0uzefOw369/2ntA/UXVS/eSaU5RTy06NnC48PXQm98zA2fSzj1tm'
b'ttw7l3juxvkp59svhF24dDHw4rlWn9bTlzwunbjsdvn4FZcrjVedrja0ObYd+93x92PtTu0N'
b'15yvNXW4djR3Tuo81eXVdfa6//WLN0JuXL0ZcbPzVtyt293Tuntuc28/v5N959XdgrvD9xbf'
b'J9wveaD8oPyh9sPqf5j/42CPU8/JXv/etkcxj+495jx+8UT05HPfsqe0p+XP9J7VPrd7fqI/'
b'sL/jj6l/9L3IfTE8UPynyp9bXpq9PPqX919tg4mDfa+Er0Zer3qj+WbvW4e3LUNRQw/f5bwb'
b'fl/yQfNDzUeXj62fEj49G579mfS54ov5l+avYV/vj+SMjOSyhWzpUQCDDU1LA+D1XgBoSfDs'
b'0AEAhS67e0kFkd0XpQj8Jyy7n0nFCYC93gDELQYgHJ5RtsFmDDEV9pKjd6w3QO3tx5pcRGn2'
b'drJYVHiDIXwYGXmjAwCpGYAvwpGR4a0jI192Q7J3ADiTJ7vzSYQIz/c7JPdJ0NatDH6UfwI5'
b'm2viYAPWEQAAAAlwSFlzAAALEwAACxMBAJqcGAAAAdVpVFh0WE1MOmNvbS5hZG9iZS54bXAA'
b'AAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBD'
b'b3JlIDUuNC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8x'
b'OTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6'
b'YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90'
b'aWZmLzEuMC8iPgogICAgICAgICA8dGlmZjpDb21wcmVzc2lvbj4xPC90aWZmOkNvbXByZXNz'
b'aW9uPgogICAgICAgICA8dGlmZjpPcmllbnRhdGlvbj4xPC90aWZmOk9yaWVudGF0aW9uPgog'
b'ICAgICAgICA8dGlmZjpQaG90b21ldHJpY0ludGVycHJldGF0aW9uPjI8L3RpZmY6UGhvdG9t'
b'ZXRyaWNJbnRlcnByZXRhdGlvbj4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRm'
b'OlJERj4KPC94OnhtcG1ldGE+CgLYgAUAAAM2SURBVDgRTVNNaBtHFP5mdle2JFvIazsiiWMj'
b'G2KcprekuMQBhbbk4uJTpEMPgVwKLQ7kGApucushIZe2h97TUgUaCiEtKL5E9Bw3OAmuhUMc'
b'2LYrGUn1alfen3l9oyTggWFm3sz73nvffA84NOjSJePQUW+HeWYO2+jGDXn4LN4dtLO4dy/5'
b'DMh9df58OXv69MfDk5PT0jBk4HmO5ziP1123ulqrOQQIEEEIQQOAd85/AGdnL1/+bnJh4axh'
b'24BSQCoFjIwAvg9nZ6ex3eutlW7f/kkHJiIhqhy5zJG188KVKw/H5ucnQiDRt/LMGQgN0miQ'
b'HB0VIpUy93Z2sBlFX5bW1r7nTKTUzqucdnF5+duxI0cm/E7nIGo2DWVZplkqmfLcOTMJAiva'
b'2zPj/f1o/OhRFIm++fXu3QucvjJ1Kp8X5ypjtv2B1+kmMI0U4yJ++hT9+/chuFbqdCByOSTd'
b'riUzmWg6lxt1HecaZ1kfAAwXJj+ykgRhP1AUhoYsFpGqVCDiGNTvg9JpULcLwWuklGFx0HwY'
b'Lv5Yr58yPwTSJtFMzCQlpik0q8p1ofb3kb54EcTA/safQLvN1DP9USyUFJRSys4GwSnzfbap'
b'OJaq14Pi1IVm/PlzHHDqQ0tLEGxTgT/4BTHMsjBCwWJRNDRkSClH5Q98FRI58DxQEJDilQGB'
b'iQnNMZhpEJ8Tbecg5PuUdDriwLJC5HLNgapC2358oB/4vlRhiGRrC3Gj8UYHnEny6hWo1YJi'
b'PkS/ryIG6BYKLo4dezYAeLmy8vNePr891O0aanc3EsvLGLl5EzKbBbOOzPXroPl5qHab6PVr'
b'1Zmagjc7+/DTEye2ZZWrWlldddxS6ev28eMwGw2L2Y/iZlN5tRp5jx5R7LrEtkSur8d+Pm/t'
b'Li7+FU1P3+HqBkMMtM3b+q1bX7yoVP5rptP0N5fOU/3DqvxXf4xt08urV6lerW7VNjaWtKcW'
b'65te0JrmxtDG3x88uGBvbl7LtlqLpueNcceY0fh42Juacr25ud/UzMydT06efFGtVo1yuZwM'
b'AN6iCd1ebFAMbf7y5Ml7ac9b4C8biTOZVlIoPNM1v30r+SU3CfA/ZNahIBhUgOQAAAAASUVO'
b'RK5CYII=')
#----------------------------------------------------------------------
Icon = PyEmbeddedImage(
b'iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAMAAABrrFhUAAAABGdBTUEAALGPC/xhBQAAACBj'
b'SFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAABJlBMVEUtg8ktgsgq'
b'g8crgsksgsksgsktgsosgsksgsksgsksgsksg8ksgsksgsktgsksgsksgsksgsksgsktg8ks'
b'gsosgsksgsksgsksgsksgsksgsksgsosgsksgsksgsksg8ktgsksgsksgsksg8ksgsksgskt'
b'g8osgsksgsksgsksgsksg8ksgsksgskof8gzhss2iMwmfsc8i81Bjs5GktBLlNFQl9JandVf'
b'oNYnf8hUmdNmpNhzrNuBtd+RvuOlyui00uzB2u/J3/Hb6vbr8/r1+fz////h7ffX6PXM4fK+'
b'2e5tqNpEkM+Gt+Cgx+fU5fSiyOdioteLuuGszuq51u2HuODw9vt9st6bxOVqp9nm8Pnj7viW'
b'weSv0Ot4r9zY5/XF3fAAAACJ821ZAAAALnRSTlMACA8pMVRlgZSlucDS4eX1/P/NtCUMe1oV'
b'w7y2G2OoQo/WEnXf8V4/3K2zKPnJF8P3hwAAAAFiS0dEYbKwTIYAAAAJcEhZcwAACxMAAAsT'
b'AQCanBgAAAAHdElNRQfiBBoTGytGli7hAAAqv0lEQVR42tV9CWPaSNK2bXyEsbFoJ5t4nfF4'
b'NjOT2d13l7YEkuCTABlJGBA45jDisrP//1d83a2rJXRhRJIpxzHYgFRPV1dVV1dX7e19A9p3'
b'Hx3kcodHxydv8j+dnhXOmSIAoMicnxfOLt7m35wcHx3m3h38bX9/i2v9qLSfe3d09D6fPy2U'
b'YAmxDSDwCLpPSgWExIej3Lvc977hLOkS8Z7P/52BiFObVZp9UKKfAHgLAXP1Mf/+6OeD733n'
b'GdD+u+uTj6cMPcoWz9RTuP4T/ytc/JI/evcXng/7+wc3v54yTMnH+gaEMGP+cXVy9OkvicFB'
b'7jh/zgSEfU3+YRICiJhC/jh3+b352YwuD3/LF1jCAJOW2wiIrKeF/PW7T9+bq7S0f3idP7OY'
b'gDYvMDWv0cLw+8ffDr83a2no8ih/xsDXTvtYCJiz/IcffCrs5347/WMTrvAEYanHSXR++j73'
b'46rEy5s3hUTJZrFq4MoVnhcwiVXyg+crZQ7JTa1Wi5wc9vPCm5sfUwwuP+TPE8W48v8kud5o'
b'KnctVdU0vY0I/adp951uT2k26oYk9DlAoRAqBj/iTMgdvz2PGnXye04wBg9K64vWjiVNbSmP'
b'dUPgIj+IzJa31z8WBAfX+T9AlOaDgBuOxq1OAut+GLrj0ZCLUaXM1fGPA8H+8QWzPkr2U06s'
b'T1RL2DcjXVMnT2I0CMzV5x/DM7g8+hilv295o9mZbs67B8L0S9PgbyPmAvP26PtDsH+TL4BQ'
b'pc8J5ljdgnmX1LEphssBPM/ffGf+c29+Dx983lRewb3emo3CUFMVkw+RArS+PnvzHSMH+5fH'
b'F6EGn5uP1VfM+rbWqAAWir0waNSxEWoZwMV304b7uXzY5If8qLuBwqdpjIa0DAEfLjtad8CH'
b'wc3k//z2ziG6Yu66EGL4uOps8drJvpQYoaXNOLiKfMWsGiYGhfffXgguj37x2HcfcMb4lYOP'
b'qcuDJhpokZVjZsmzwbHrEFzdfGMhuPxcWL8LKE+2YL/d7vCggUZZAGbcqzTlJcQuFj5/U2V4'
b'85ZZ83ig3Jpuw367vTBAZabIkGvGv07ryesQMG+/oUW8vnBDHS7/896W7COa8MhzBMBIlKNp'
b'b76ufv75rdYHSPmvrVRFZSvhdxEQASjXlyleqT1X11TQ+ck3mQY3v6wpf2F2nwX7iL5CdpTy'
b'pcvZmm+EdOHO2d+//vua5at3NuVTbUUsETSOfUj9KZ3Bmk08+7xja3BwwgB/nB9Kk2nqW7bo'
b'fiT0ebkVAcAs/Qfpk2pQFZ//ulNFkMuzSP6prSzIrTae/JpMpi3fDQUAiJvIk7aqBIUgv0NF'
b'8O6iBIO6f1P2220FQqNZ54AcslzQR3AzBNotI6iR3u4sen70L+jfyXzF8CMen4CAdOYIcGFv'
b'3hwBrVH22QIATnejCvc/XwSwlu5eteQza3PE+gxwoeZuihCQupt8oH4nBWTg4vMO+P90HXB+'
b'YT3e9ulR6Kxq3FhXJSCEiw9GoLqZXbmv+4cGnl9nP/6/BWLefDNW/CcyLzyFs9HhaxxfBjBK'
b'3RMZ2AyB6SNPzwIImfcZm8PLk6Lf7aq2Yu9ozLE15CCFs6EIWH88RQK4uR5ot/8XmAbMSabm'
b'8PIkIP5yfLyrw7O8KXNgvtQs8k+HjgjKzWnMgL4CgY7sTQOYNQKXJ/7QT6L2bwLYIwMpzY25'
b'YczndT9gIyDGhk1eIwOLBueT0WJ2CCD+fUqm8pyk/VeARxAp9h0xtRqSBfrvAyCGadCl6ogF'
b'lgFjwwWGrvT9cpoVAvsnrG/xKyQ7P48AKvp0BODQMGTZkEUITVpoQgHoGuWy8GBji9xFYeMl'
b'Rk/YhR64fO8ff7GVfCdIB5SxDjD0Nv5qL0xkNSkEwgBoWYrcWQzOXgFAu+VDADK/ZWELrv3z'
b'v5rGSdGbZcCwQHBfq80RAtNoAHS1KyLDMJNAubcFAO2u3xicX2+PwAe//zNPd1d6azAcrqjX'
b'qnNaBkYBAKYjgSeD3+FqDQej1wDQ7kg+cS1s7RPenPn4N1Jv92gLv55Hrp8nA3U/AFjpI9uC'
b'Q8J87Yn8alwGov9aKd3uL/7F0cWW64Kc3/+X0ynmxdiU17YHCAK2DNQhDQBxfgdlhK42hoA4'
b'iM8cU1GoN7dG8qiVDgJV9g3Z6VZrw9yV78PkNNE6dAsG1kBCUFliBBohEkD477afkH0ZQkvw'
b'n/uA5l9/xAaVG02TrkxoKfsG7act4gOX+dfwr8sAikMODIMy0OGBbIkArQOmI47Bix8VyS7S'
b'm4rN/zP1xh4H+CFSEuNU17cGwKP8q43hvt8Bnqec/x0OmsvlCjkB5rP/L/OSbA1iveQC4Lm9'
b'C2VgzvCjsY9/bWQKLH+nIRNXTXcDbXVIeYTIIXqtKfjsy/pJ7ZoqHDdB7HCAZf1bHPqwZkuA'
b'ZwZ9Tq9O4EHj3/fkH7kQaFmFo0cD4l6mG4Oq5wyUWObodfz7DUB6o3TH4ZVuC4IKByo+qTWA'
b'LQEuACHLnrGff6TS0OdIi7ZmsHzqAEzH9YhKkIGvMwWHPgUopA/SLATArx5FUGkpPAMbU08C'
b'pDUAmlww/NMVQN+TfzT+yPTMIJCbJgfSbhm0HZ8Qh/AgLIGLVyhCvwKobBL8nOBFCQtXeruF'
b'3LuGO2y6AYJTYAXLd+RPrfG4S17Y4oAXKSH8L4kYIM9S3CTnZNJ3pkAJYZDf/OzFMe0Bcyn1'
b'r009o89VScSoIzJw5CCgz4uGJQGuGVxZ2RDaiIeQH2GzcdcHLtg2/8iyjQSOH2zmGY6ttSjm'
b'H6G3sRq4oXN/YGPD6KemqrYN7NIy4AIw8iSgr1qaEMfbMVQIgAnFv2GZXv1e3TjppgEtHUDO'
b'KP19QzVw+dbhnTgA22Q9CC5+ng6ok8g4AQBLQJcD81ZrCPgOmQIKxf+r002sDRgiARgAeLWZ'
b'GnhPTwBpq2y3jgjgQwAATwIAloAx7N9hu8Ei1lt9G4BpHWwcE/HTVxFzDslWHixuFCi+KVAB'
b'EH6jKP06dQVmTkRIn68rQaIDmrDfIoZTIUZ0QgRG7QNpy01nHGLAU6CE/m2kBt5d0cd6mtvd'
b'RVs3wdyS5KGzHTbw6wA0BeTW3RyUrSlg6QC1AjbYJw2nJiRKEBJFmN4S7L+nLSAVx3gdaaa9'
b'LNCHIRJAlCCa7f0yUoJTPAWgC8DjtgBodWALAA7qpd46PyxkpgAI36ad9KIbxaAjZCnB9qLO'
b'4TwDrPEzlYD2vUTYx6dVISz8uaEFwGT5KVsCwNo6QAKGA4BjBUCFAKzPILTGu8dBSwmq/PYS'
b'gFWKNQfInP53unXhMXXab2MPIISmrg4wHD/gCboSYAGAV1AW1C0OZigBbb0B8SSwTOEfx2n4'
b'z51SApCcsJXiHjwJKLp+gOiXAB8AigNABhLQ1uawZDtDAJymcAb239AucIoQeCK5EhDmB3gS'
b'AFs7AaD9P85WgpjeJANw80/KAmYgg5QZpHXAugTYALiucDZTgFzD82nPEj3iT3QUbJhJ8t/U'
b'tB2h9jDKChAArClwx2VoBglp9F5BYnzsiEoD4CbbX50AYLv0eDls6dTAYqhN6YBu1lMArYyp'
b'bLrzBH/w8oqSl6ftLQDh27RFCStBSxTqsVPABSCbKdDWB5QIvI0Xgc/UIoh/zc5MOACOBLBB'
b'K9CgpoCtBF0dkIkfQKgjeGwxsf4gFgDXBcgI/7Zer9nWdE5NAcszmIHKvQ2AbXHQuqCXNQDt'
b'GfTk+upvMQDQYSAp3S5AIqlKFQjje/xAAGITDbg2kQCPA+DanQy5WRdHxOoQkq2fVoMD9bsp'
b'GrUZWiFtd/7Ao6UXJQZMzLr4ExUHTbsLkYw++bhHsjQDoPiAlRJyS2ojvd2p4AdIL9zjEGZN'
b'XCKNjXOR+ggcHM2ocVuuxF16pg4YXB0kCQCRlPk0KwCgDacVpHvU25My4ruE94LLyEXFACxx'
b'6KKEpsV0bmsf/SUzRwyTNqdEINIQ0KsgmI0JdAAACIAH8sFNxyxZEoD+aGr4mAwCQEIAYJtd'
b'xOr3Bb+tnJUEtHtUCtXHKBE4ojSAra6zAMCZUGSHE5u2SdkGoIsznWvoUkQCQPWeBoBIwP+y'
b'uoupTJ09/xAhAHkPJe4VSdBRAHD4hOejOwXIXqcjATYAlg6o2lOgiEyjTiQgMx1Ae0ORuwQ3'
b'nhPIZicA3hSwJKBJSQABAAsbmQKgak+BGvYNLAnIDoCpzHpaIDQyQi8DM3KCLQCwBDgAkPyH'
b'XhlYmwAdkheFdYCIhARYOgD9SUAAmHijIDMl2PY7xKH7xTkqEDbPyP5i6o7HyvMYTebOGNEz'
b'Mvaqgh/19PaSPEDGfkoeKMjzQC9FDxAAPfzi54ycUUyalzUAmbC4ABUJ5Z63v96PR8+eFrgN'
b'UYOXVCBI2mI/Jki6Np1ONc36oWv2D+sx+om/8K/sb/sR+ZtO/QJ9b30nWtV1ckCIJfzgqcDM'
b'VgGIFHmNcPKobMihZKy/0iEre2QbmnlWrrjmDO3nPTvJJ2zI6N1W2li5Uq7VsLeHqYi/sYkB'
b'xSJAX0VSNAh913DMslSqlaznNfxdZIvFInql+3dQA5WEgVHvurEL+KV30BDmgwAcnnnwJOQh'
b'dIccx5upIFDCax68lri45eFiUOHKUqz5ouICp0FLSCXEJhhfZLuwhRqm0BNKeXMmY6uQxaRI'
b'aDIEHAT9OA+u641HcA7QXmBCKFwG3Ggsw+TVom6Pf4aF1WIuOoZQHjf65O4XymoWtpK2LKF1'
b'PwFv8N3v3m3Gc6ZVQL2NnXdzmgDAc7byj6kWPTtNorpGeCXZmXM1lgubpGPvo5j/i3IChPjZ'
b'veBwlQNtnpg1Ma6kKQ+3IQD1GMEUpnjFybd0gwHlcuiurkqpwfdRM8CMD4XqIit2NbSwSdg0'
b'G79i/icRjAFgBbix1hFAddnjoKmqJqis+9G6CUrObnGeLlVKucFQaccT4p0TIBufNqH79D8M'
b'Jy797x0JiC6ugXiHPId9mBWsdHG6RRgnCmdtlSLDyryjnIAj72YTc9H0FR5bId5bHlP8Q/Ph'
b'4eER0Qx/zx5n5AF+9Gg/sr8fIn4/exTZxCnQnggIpvJAQ/5OGY39BIbFdFTBSpfAGFB2YJ/a'
b'DootYGIhMOET8mZ1Wv5hyiTvOKrXkgFodwxQVtC87FbgcNwUw3NbzVLJmgKl/+T3KRvg3m6a'
b'jEBtzsSfehuXqepyowxWli4AccOjGTXrNO4TxKVIuNBKDGMODz7JmWA8Q0jFwvgUHp5ej02d'
b'z3z800mAZkLbNJPz5JWHUCWt8iU7a6hEBUeprNiYGkYe4dRVOVIGfPOfShXeLQCaSWXVNQGM'
b'mqNzSwei//9z4qoAbyUM023GuDms66TvgP8UU4BkVbrSO67BKEmeQccQwgtnDhw6efHIm/6S'
b'7o4WL1EysJBKFP/ZbK8mS8DiBdIHusYARq1oO974FJzjRMdF93fVacpbCkFAJ3GtmeACcJsV'
b'/x4AErnGeBywcHj+G5REjtlIAKaiy+y5kzJERUNXaQEgmbiGqmOakn/60sQujLMHVYK3s6z4'
b'dwEAUpX4SZyk6Q5N9enCDJw0jgEALRdcerPuB0/S3zNGoGpS9OIvbAS3zrBcB6BWFS35KtMX'
b'NiUA/VnFcQAoHrc/WZ5A7tQrhxdnBPXW5G5y53nA2BZg+4m+WQaUAo0ikFOSGf9t05UADABO'
b'eiwBFh/OxRfH9xA40BmjA9qqpwTODoNegBTjtOjNCseVOcHjazmaW2QM8f+S7/R6idsBACUb'
b'AFCee2QMjUB5gvYsRgK8lCFYsDyB36hgWPQM0Juc1SKEOtGkawv3S9NUGYeKbu16+pkCUPcA'
b'sBZH1XttsbD/4Yv7Xz7hGS7SUdMpJUA8gf2TVLGQJsfw47u7WZlGwEfT8QxR3SntlOUU8JTg'
b'QwNdozGLc9jxUMV59G5UBEICQO6jpwJacR/K479iP7cfx9q94wfsQgLY5KWadatx1+56yRK/'
b'4B0i6nBAdDCoCQFvhxsRAnGfv1sABsmvxfzHxoa/ePkyVzgmcOSeD635TujoC++8G/5QN9zq'
b'P9no0fSuN5n0xs6RxV0AAIzeBF1kMonMYce3mnDGb+FuEkKyHqKCIVTIUZtVBWmmOR/K0vGl'
b'cbnWV+ziGO22+0AzuXK57FZD3wkA0rBMaG5fVrdvANetwo+nWFUlbCnj4xnAPlSJATjxCsR5'
b'Oy/YtwQ1aC0vH7lAfA3rgXrDolHDoZG/hMkuzCCoVskEK1UaNHn3ULdVVSw9eDf54YCqkcRQ'
b't4zmfLWO3M7GcrlsQgpUy+IgGQBJtAsAWMleaUTtNTAJ85+Q4mpBnCuS+8V9N8WmwSCFuBQB'
b'N5Qk6P2hM5PlFdaUY0kURPyPIqG8MwCcKVCULFcYcv6LC+7PYYrcnpZXhPHjAV0kwjMCSwnv'
b'frRNqwUM76icngDYmnXa+V616Sv695U86ho7B6Am2Ws58at7dR99TZPdqYquCF3l9n4Oc4Rx'
b'GaMv7S8iqAzq9ZEz/hqSCCwQEcGg6eNoMBiZ5R0CwEqNwQh9DbbawNeGLsuF3N6f7pMaFQ4b'
b'I7k3BQCbeMHp/FKBcKZrDcA5EjH1f7COdbEqsTuUANNeA6d8X8TrvHwpmKOtIBVu0cxbrBUH'
b'Pid7BvFuSAc4+eyPo9V6TcnlfIcSEBsWD5I2GY3Ce1zUPak/2jvyFCpd1V57lodyoGbiGGIX'
b'e4wrxbVJVcBajaOC3nqni0jZqSMkdy1KkSyyMPG6N7RbQ8PrbHi9d+3yHzgjO11MA+9b8oAf'
b'oMUO2TzCp8LFCh1F1UY8ogq3AwA8P8DgCaXYvkGLPl6ErBiiFh+9Qb/e81Jjku/YSnW0KvyM'
b'ABwvEAqV0Wq2wjRrCD7nYCcASII1fSvkkg37yqsV/bNB/jLigNy5X0EQukPoOQJ7eUcY0hwS'
b'VZABkYhQTc2aNLWEyep2suaa7CgeYN8utK4Jra6MEHj34f4Fb46qQliM487zWPJ7nh/UT5GX'
b'qjjlDfQ6i0+/DgC0mqZh4nYPQNUGgHOu6V3dTzxPkt26fNjBI5KkbQVuftn7r3vH5RR7And9'
b'p+ArSUkZlcG827GpNfcBsJOAyFBgiQYXOkH6GniOZic/aw6ZsBhHx3MFr/YY4KAhpNgW1Ky6'
b'X22vQrinj6cznM4353YKwJMsv6CrNJLfMyFchu7Neoki8B97/3DBENJs43plj7VRGXIGPW00'
b'nPbZEXcaEdLwRdB3ijf1qhyszMKY0mxTXSwCZs/zCYRU/pVX+0rXOiGVXe6doOv3ighRt6pG'
b'NPfTXQCKNABiOgdTiyx9TZYj/0MSQM5qZwoAawMg24ue7U60EQDshm17xQ0lILrssT4Sq2hF'
b'ugtHyAWgKldF/LWRJKzfqRsVLBYxALYJF9K+nxT/HiuTAD1LONV3N2aQdZQgNoPoibB29cmk'
b'l14sBAoAz26lBoAgwK2T3xfKFADnQ4e2J8iFUdqCh64OwOQBUEoPAEKg/G0BcNcCjicYcvn0'
b'JR/bQQCsOxc3uCO9N5lgKaS+lfGQBYy3RbqT5XDVWm+wgmLNAXsmkFvw50jEEnWSds/b090E'
b'gDDSVtWhNBR3ogRdCTCrQ0xhOcNaPS0C1BQo7rkHRWpprUAkLZeL5aIr2gK1k6CofE8usgwN'
b'yuFYfqpZQAFw7gFQwsnGoS9XlUn6Q0TLXWyNudvjoREh7U7pknvHMpAGAY0GoODtDIa7TYs6'
b'B5FLOU3xuXijeieusAuAaTdsoG+1J0DIDa0FSjo9oLkFFWBhz62cWgo/KqQjVMsciO4C6b1y'
b'JUmSIe1SB5TEOunYYFA6oFVBNgHaOc7awJ8tFU748JA97hd7F+7j8CTRXh8YE6UKKuO73l2v'
b'Z//Xs/67c5+jnwpZBezUCpCIEPYEBOeyd8ocVB5bI46x1v1YDyTuDVHHBi72fnIfV0I31VaA'
b'65DMIq5c6Zf7FJXd/+zn384PgJx7VTT4I3KAY2jp8B4HEi/cpeMBXqJ4OQKAskoO3sJkotiH'
b'u9oaszxB30VHOo5OWABMqrgDUII963mxqzyVJxx+xxMOmp3uEJRnyhpNfM/Gu58CbBXrb4SB'
b'MHauPq6yvKI27aLDONwJGS5h44g6zXGy96vrCoaXjsSRH+xmJhc11kYkGrfT/ADRsEJ+VFgc'
b'C2cZDTsO6GkiqDytxPXZvOzQCq5568rpr3vHntSGx5lUZFrY8iDZE9BVHIu7E3cpAYYd8aPY'
b'0cc8WoNWieZrOVW9/Tnfi1VVqI6896y8qXpNb41F7DZorea4m9pL3EmOkBkbEVKV5sStRoSu'
b'qpVrvjmgWSkhnnk0PZ6P9g7dx7VUZwViiOxaft1tkpQeuzvaKYOX5fSBOi+Fj54/IN9gJkNv'
b'6+/F5bl4SB0Yq0nbHW6ZPpgv5ouxy+1xUB1Z2cERbhlO/xFECIaOuHdlURLLDHq+kFnR5o/O'
b'Fc1RXUTYNHHxth36C6GO7MsW3klYXLS9+Gon5AZ03MYD1livFVJLACyyGQzOdWrUnPYEqrcU'
b'uMjtHXgZIukqKCtVMZwCKTK7AIB1AiLlsBtoIAaX43rdLTTQFQBnDEwB5/h0RBbv5RFYPD/o'
b'7eXegZcpe5vmlsd9FqSi3bjCliMEw44ls9YBLU8/YP5Xmq5PrBYlbiKwwrlroZNPe/vvPQcu'
b'RctfnCVp2nlpI/KFfo5IptpIKO0cANFeC/DONUfOvaxGAuM/otTC/JNEwgaHDKXX7cxLk+Nw'
b'JyrPDtaSnR3c/+O5becnUomK+Eurl/uVSnkXjpC7PS7OyxX8hescUTdBBh1XcacO6eHxt8+s'
b'6D2zKrvNwfUnT4aP/McFEovoRmXJ2pDftf7X2kmGiBsPmN+1CIVuzHSqyJlzWOg6479GmteJ'
b'iZRRoIpnJJkBzH/SydKdJksn5AhRMtCK5J8yAvAMZ4sf/JQiXZ7Qcz8+U976eGJk4e4A0GPa'
b'jn0VbRnoCkwU/7h6uXWHAP50QE5OpyweMU7gX2uOENX7O5gC7nLYmKFLrEajqJL/GAFzNhsJ'
b'AEbxTwo72ixb56ePUh2ZwfmVQf6n3omZxUJTDTtBZYcASJKVCSMs7BMzGn5AhQg7oi1/kWf2'
b'9AELga0GrYJSVCnhOGe4w4PADOyYpKHqHH0b6IH0LXKF7S2NvjG3r4xjhPMXz4XrWAvm6DOL'
b'2hCyABIE7ENTOU8Lxh2b6wiBdBvcz4pBBhZbZobeFt0dAKzk7elg48Xiy+M7ED0ElmS5HC3K'
b'KldibYbtY3OXeS99PCaeGAQAq9w5fXxR5ncGgGmLbE0SLSj8ByfRSk9MXXlQAXj8Wew5OuVV'
b'qfoRMWYmAAAxOZo+xedmrbOzyxe8ZQl34gg5roskkW1RKGnWda3/tRlM3wttALHkQFCCrHN+'
b'/jhVlkhHoPcGOkMmWBthOpkoyuRxJ6my9meWDDsMGUhp1FepEdBtLYljh9fB4/OAhMAjAQCe'
b'ZvkyjKoNsZscoWKCIzRNLQPk+DxRAtCtI2MVUCCo3Eavh+gpEHC7aVpKtsLaxXI42hPUZyn1'
b'AJUnfOpWUfnV/R00It+pVFwNgZ3uqNogDgC7OTobraOmKRGgWrK6JTTSFFHRRmXcdJ5IGa7R'
b'G1kb5d6RgG+9FsAykNwRgtoVo4qoXLpxwdJthDeMtAxXsduuaUNmGKksncVQaRfH52PL6EzN'
b'FLmeXoUTWPA6DSQXUlrwQJq0ZFJvd9qsACGyCfD3Ww3eSYB7TEKg7nFKFVKidkcilsR35LCI'
b'2kd6cDrAflOkr+0CAKU6IbPukEl9b/T7gSO3cRIw5mt4ksaXA1VFb7bTTYeoYmrhA3fH4VqG'
b'9xgAbHDmXOTS2dUBViFRm3xPKCpF/N7/escNAmy0BHT5WtkQkrbwqPoZBbolNV1GpB42tPc8'
b'EFtdE8CeLoChqrUqUStHBEBp7fBEVhRzfH6EC4ndG/HF4HRvTwj6+814J4ci7MDMWue+aBqH'
b'd1g0mY0oqHgvlTZnLCXF1ROUWZzk1YSxR4cpGwD8jSZukkpq6jMBL0HUtsazpt5WBSai8OJi'
b'hwAAuzV9GNVJWwYzvjXM2A2FwN/9ZWUPqDkQUVi8qygtjfSs4eSGFF14sf5K5lKJQLSjqnCg'
b'2niBsQUx6fLigY5L+9feyZGEsroqXpLXvCh7kKgq7lnrglrMBMf5yyChQXTLu7W1VisbFFZW'
b'Tb4vzKIN7u5EgIvr/jmdif2KHLsg8gorw7PDAAB0UIBPSobQ1Dh/Y4ELyRADV6qVSkXrZw03'
b'/8TWzfoffTsNcUHNfmWN/Cr4elJ8G7Asw0IxYedqqsbfuEapwLXS2mg94IrA1sXVuzNTTknG'
b'i2EkvcQurt7ctvknVVw9pOUYtUsMqttXwaSr5U/9JfSpivoLfepSxOt1p9b+1rekeXXkwMV6'
b'x7H9D9Rcy6rJ0g9FY65kN16EzIf99SYbOaoQdBadNn800uaklKgFwLuQJiN0Sa0sm6z8KDTh'
b'7N6jEDChTVb2bs49BDJss/OD0FQmDbiJBEQ020LeINyBCLSUCfpScZcZnN1JuszYDxYk3bOF'
b'u8xg6qGJh1+rTJZo/YlfNNmy+Th9G5xViJDYwIheW3S7zexEoIHPV+FdRaWCQ/orvHWNHzxN'
b'219E/ACtqhZD+9TXVMavxqcS6xx6xGfYaotFwk88Dwiiuq3lqGZr2fXaIvUq8MrBytBt6O1W'
b'H+tbtOz+gg8uMEjjLiT8G/HearVV83qNZdZoiTRbswAA+U8RANg7JDBbQ2ABMHEAWGEAcMyk'
b'jiRAsK+0wCaaoQGwVu5Zt9sr4SkQ3W7PbbkKQIoy+5sB4EkAmgJkG9m0W22xDgCuBIDsAXgm'
b'6h8LAFVPOUwE/vAQyKrlpgvAszsFKqwlAR1HApY+ABje7jiZGQBLiRzoJo5AXMtNX7uprNot'
b'BQEgzdYsHdDxTQGfBLQzlQAczyLNjGAJ/itGAKxuO7YtrKXeb00CABc1wQBU8EkPPAV4fA0s'
b'AbwrATjihhsuzqFVlkKX8WmQcjYAkLa7JdKGPtoEWPSJMgRgkEllaGUkQH6EwOw2eCiMkDbs'
b'rETIDxS9vZwNYcV8nra1BwOZw6bW1psvHJSbaFk7rnPQmG27ACSkD1jbBJRws8X9uMbDu2i9'
b'jaTZjrIZrNd32NIwM6/x8m2w73AFNDe9UjiRGBWWfiQCzFEs+4Hm61vmzzsD4Hafnzutt73e'
b'48AFwC7R1nJOfal8MZvi5FbxuBJRgpFOoEc3v1OhvOTTkiloarKWBOhzx8EcAcFpvu71HncB'
b'cDtPZyMBK+h6N6W/HyXx70sbzKbrq04BYLtXg5jm61T3+UzsUItOXsvvJwPw87+oN2ThD07p'
b'KaAHAKCar1sS0HWbr1fSZK8nEt1yGX78OZF/YgqpJsWr7aehKwFtyenPRUlAP6AD7igAMmi+'
b'rjcoZoofkgVgDy+LKRGobG+JPQmQHB1ASUBwCnhKMJMpcOebAAepAPB1oAbS1ktyDwADGEEA'
b'PCvg6IC+pwS3nwJuyhamwp+p2MfxUWd7D4LQpm2bke76AfOiDYDrB1ASsG4Ga1tLwJTepGHf'
b'p+R/by9HNSCNOFG7EQCMpUt1qWhNAU12ShWvoKcD7CnQt9NVOxlIQBO64wjh1afUAOwdFShb'
b'mO4wWcwwmHZ/TkcHfJU5AAXcFsxnBl0JcJRgcVsAWtRWkNNOIuUkOClSCFS388jdKaAPiQ5Y'
b'Wnu0JImK1gG2FXD9AH5bJUjV0Qeg+PlyAwD8HnFMW610ALCWEmwbxAw2AXzqjHly4J+2ApbT'
b'1eKg1epmawAWMs3D2434R5Pgd+rN23WMUgVm7uoAHeOBRapB2oBQU8BVgq4EMEldPeNxX9G7'
b'8/+82Yz/vb3PtC3cJuVNHToA6sQRQjMCL7JWgAAQYgVsJYj76Na3QOD5lmLg/HpT/n19B5A/'
b'lFxxNop/CUCbD9sPeGS4WVfhSWb6+mII+QE22uocRKdhJFKvQk+AN+k8IB/lfqFFSNjMI3Q3'
b'cyn+EQDED1BF0h2UCyhBe+HV6rtVYBACngxom83CFt3tAV7lNucfqYH/0gikP5KBDxPxvEH8'
b'OSz/Lg+OGWzhABhPSjNRa4GgGUR0P7ffrc2qvLjaQBV3RXr8zzZWAIT26egQiCijGYo+Mr81'
b'Buez0OOPHIKq7Qprysyuej4KWwxRvawsGcDFgVgWpjdGnarrAGEP4POr+MfeAA1A6lp12hBw'
b'sskjZ883/u1pYy2HS6kAYemXgDuOPriEj+LVl81bUB0MudTxGdVf4fjkFQrAosu8H4F06yKk'
b'x0dkL0oUYYB//zzSlQrj5JR7VsBZDLm8QJHHDT8WQzZl2VfiaXnTN7+hB0BT7idfqpucaq8E'
b'8YLGUMORyCD//lmklL1jJfRiyLctaY3mC3o0YPlUNuHe5wCBt69SgA4dnvo+LBUCSAIauj6G'
b'UDC8ss5T51iT2hw9dNb49y2H/U7Hsj5EE0XVVSmdBAT4vzjchv+9vRv7QJUtCHKarrxzwM1l'
b'roj49XpV2eOvjyvIAlSaQf7pmCAIBoN1BYGHG36kiRCphi89859pYwCR9KHgA3SewhZgG8z4'
b'G5I1ISPiUk+tCigLHN58b/FMhXqFqwRVYT1HSxvho66pvKKOv9XNqw2AR/vX5z5IpRT+QKdh'
b'GE+U54Rb8ZL5rz+BiqKihZA4E0GZ5tPVAe0JD7hgNTRtbM7lcQr+u3QECALm+tUGgKL3PkxZ'
b'MY1PqC1oFrp9OwCyGJIkc5PB/Q98q313ChAnlhsHZ7umpVGAdz7/B8J0QdBEGfC7A0DYOHmk'
b'x9l7HAuyM6DLDOAq/pnuRoRCELifGcF+LxH8+7udFV/vAPjJa0dmTYbK84ar4x4HbdAaAI5a'
b'Kw7I3S8Bl8jRAZhwy0xvfhC3Hg4TlQ9SsAH+t3AAAgj8WvR9NNfYbJHmAUBy7Rl2feedmgJt'
b'Ww/Yj7Uq4KSq01g9mrRGoLhQdvxjGWB8nw3TmEMaADe403lBNsBYVyOeErTegRAwnwZPg8HT'
b'HON9bybtUKgy3NX4Y/oUQMDus5GSujxwTZ72pdUJWdT4JYAgYB8ZY0jCSAvC2M36VtU/QuDz'
b'BjHgNLT/PoAA30wQSZrGFSah/kwQgHZP6Pf7fLnS50Bl0tabsYl70yYf5P8yIwXoIXBc8MsY'
b'NDeYBkm9atFKAQZqNzuVA7sVwM+Q3oxJ2rofBA7nFI6zZh8j8PnCfxUgtdJbg3gEVNwXjKuH'
b'r/dntzitMPrd+t0wcGNnn3fAP6Kb08CFKqv01iCuCpP+AkC5D0D4kXRdGfK8HAn2YhUsLXf6'
b'ugBQCjr8iXYH8IN5+lBhjAy0sGPQkUE5QrMuOtGHlFrz4Nm0n7Zc/8XRu3zwKByXXgjG/VoE'
b'Ak1i47owuSZ0kLTg8EOQf7c9n9F0eXIewBtKk7SaILJn9RiWJ6Qa7oZpafpEgsB/PPE8W/O/'
b'TvvHZxTahMr1tOHScT+8K3SnDCRFkUB/s9TMzqASGI2dqT+abq6CV0VmKmVeMVoWhx1/1keg'
b'BlOV8KdoORPWbuRqZ+qPptyb4DQAsKqkUgVLMfx0/qLRh5BL08TBIe25GrgFtPp/s1X4Lz3t'
b'H/++hj1n9FLc/mIYlX+r9jbok9Se9ozb4B3cniUlgWZINx+ZNQig3Euu4SJmcRZHu5PXGlxC'
b'8Hbr6N8mdHBS8C7tSoE5iYegg1ZsldGW5xC0yct6UV1YOEnMgc2Yjq7WT8eznBEXuLOOB6Tc'
b'XYigxXgeVlP44yb5LxnRp89MSIEArhptEerI3R/LAL76YK6+eKiGsf/th5/QZS5P5ZS6YEB+'
b'1A0Vg6WAtwY1gTVfl2+idZ/4sJIMTP7Pb6f9/HTw28c1XWSZhHFISUeVJ6UZhuxrMl90dWxw'
b'Ide6BWfXO/b9YuldvgBCia8rXwM8TKtA7Gi9MnjamH1VqfMAhJXkOPtWtj+K9m/y52FyiRSi'
b'UA+0Pn+AQBhWQH/DdBv1uS7AcJjP8zffS/o9OjjK4/qUpRL01c9BvytxvPHQ8eaCRgI3XFIT'
b'HJ/UdJoGH9R7DhrMv48yDvy9GoJ/MxAGAMAHtPAxHU58UlQ7wWc6qcujtBEEXVOVkcjdggj6'
b'4zTruOcWCPzt/QUD/BW0rGoFFiicVFda6gaqb/m1NR5JHIgm5ur4h2EfKQIyEQJbB069Cps4'
b'QR48JMOgqS3lYSALccwj9t8ef0/VH065I59bENQJ+LYBVxGG8mDVVHrdzr3mZL7punavdu+U'
b'x5VpDAU05Wu1WPbP8z/I3A/SwTtKCqxyFWHmgQW3XJnneUEQ7S8BPcNt025BIkHk9t38eKPv'
b'0P7P1xf/cTVAFASeRABSkbuUsvwa0qrM1efcj8s+RmAfKYP/MoBYRfrcyesI0o8gc5o/Ovih'
b'2bfp3fv8PywxsA7tI0lgXw+CK/r5axzv/v6OTxo6QBgwVtCiRMxBiV0f1GjhWP8t4v7mu6z4'
b'tsHgOl9gSsRBwgeXXz/0TCF//GNP/AjC+uDk4owh57ZfUWYSoqXeeeH05OjdX0PsI1BAgpC/'
b'YAgAPpUWIf5FR+NBcH6WP/kt91dm3kIAz4aj9/n8FRNoSxo654ukn+j5af7k/dFhyoOefwna'
b'z727OTo5yZ+ehzNftAgwZ//Kf/hwc/iXMHebo3CZy+UOj35DQFxdXBQKjOU4Fs8LZ6d5REdH'
b'R7mfL7/tuP9/SKG8eTU3NlkAAAAldEVYdGRhdGU6Y3JlYXRlADIwMTgtMDQtMjZUMjM6Mjc6'
b'NTQtMDQ6MDCuf9noAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDE4LTA0LTI2VDIzOjI3OjQzLTA0'
b'OjAw1i9fRAAAAABJRU5ErkJggg==')
| 79.884861
| 79
| 0.8807
| 43,310
| 826,329
| 16.803233
| 0.695521
| 0.000074
| 0.000157
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149216
| 0.062515
| 826,329
| 10,343
| 80
| 79.892584
| 0.790213
| 0.000478
| 0
| 0
| 1
| 0.003582
| 0.899771
| 0.899761
| 0
| 1
| 0.000004
| 0
| 0
| 1
| 0
| false
| 0
| 0.000097
| 0
| 0.000097
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
74ca77dc20a0a324a6ea4764a030f3eca699a207
| 35
|
py
|
Python
|
b.py
|
bassaer/fork-bomb
|
16deda3487f01dddd324220069b306f58be8f718
|
[
"Apache-2.0"
] | null | null | null |
b.py
|
bassaer/fork-bomb
|
16deda3487f01dddd324220069b306f58be8f718
|
[
"Apache-2.0"
] | null | null | null |
b.py
|
bassaer/fork-bomb
|
16deda3487f01dddd324220069b306f58be8f718
|
[
"Apache-2.0"
] | null | null | null |
import os
while True:
os.fork()
| 7
| 11
| 0.657143
| 6
| 35
| 3.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.228571
| 35
| 4
| 12
| 8.75
| 0.851852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
|
74e43d4176c560d38651123ec31695e8072ba8cd
| 173
|
py
|
Python
|
tests/test_oops_fhir.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
tests/test_oops_fhir.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
tests/test_oops_fhir.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
"""Tests for `oops_fhir` package."""
def test_test():
"""Sample pytest test function with the pytest fixture as an argument."""
assert True
| 19.222222
| 77
| 0.676301
| 25
| 173
| 4.6
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.184971
| 173
| 8
| 78
| 21.625
| 0.815603
| 0.687861
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.5
| true
| 0
| 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
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2d09ac297b7357c3c299ae82e073c25a18ed0f3b
| 136
|
py
|
Python
|
telegram/exceptions.py
|
aquametalabs/django-telegram
|
ffbc76ce2726a228f20a3a64028c3c9080f6ada3
|
[
"BSD-3-Clause"
] | 10
|
2015-10-27T14:06:55.000Z
|
2021-08-06T15:43:40.000Z
|
telegram/exceptions.py
|
aquametalabs/django-telegram
|
ffbc76ce2726a228f20a3a64028c3c9080f6ada3
|
[
"BSD-3-Clause"
] | 1
|
2016-06-18T07:31:34.000Z
|
2016-06-18T07:31:34.000Z
|
telegram/exceptions.py
|
aquametalabs/django-telegram
|
ffbc76ce2726a228f20a3a64028c3c9080f6ada3
|
[
"BSD-3-Clause"
] | 1
|
2018-01-15T12:34:56.000Z
|
2018-01-15T12:34:56.000Z
|
class ChannelDoesNotExist(Exception):
pass
class LevelDoesNotExist(Exception):
pass
class HandlerError(Exception):
pass
| 12.363636
| 37
| 0.75
| 12
| 136
| 8.5
| 0.5
| 0.382353
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.183824
| 136
| 10
| 38
| 13.6
| 0.918919
| 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
|
2d0fe4ff13541231683e5abd8cf98dab6a6ff789
| 291
|
py
|
Python
|
solutions/a0000blank.py
|
oatesam/LeetCode
|
5f5c950507e7635d3cfbac313acd590ef665f8ef
|
[
"MIT"
] | 3
|
2019-11-06T13:10:38.000Z
|
2021-11-17T07:29:54.000Z
|
solutions/a0000blank.py
|
oatesam/LeetCode
|
5f5c950507e7635d3cfbac313acd590ef665f8ef
|
[
"MIT"
] | 1
|
2020-12-17T22:18:05.000Z
|
2020-12-17T22:18:05.000Z
|
solutions/a0000blank.py
|
oatesam/LeetCode
|
5f5c950507e7635d3cfbac313acd590ef665f8ef
|
[
"MIT"
] | 1
|
2019-11-06T13:10:45.000Z
|
2019-11-06T13:10:45.000Z
|
# -*- coding: utf-8 -*-
################################################
#
# URL:
# =====
# https://leetcode.com/problems/PROBLEM_TITLE/
#
# DESC:
# =====
# PROBLEM DESCRIPTION
################################################
class Solution:
def method(self) -> int:
return 0
| 16.166667
| 48
| 0.371134
| 21
| 291
| 5.095238
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00813
| 0.154639
| 291
| 17
| 49
| 17.117647
| 0.426829
| 0.37457
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
2d1efaa8156d63e26f36bd4c35437ae1d23d5640
| 51
|
py
|
Python
|
dabeplech/scrappers/ncbi_taxonomy/__init__.py
|
hmenager/dabeplech
|
1e13742e5c1386ab34c316e926b733e2f262cd2e
|
[
"MIT"
] | null | null | null |
dabeplech/scrappers/ncbi_taxonomy/__init__.py
|
hmenager/dabeplech
|
1e13742e5c1386ab34c316e926b733e2f262cd2e
|
[
"MIT"
] | null | null | null |
dabeplech/scrappers/ncbi_taxonomy/__init__.py
|
hmenager/dabeplech
|
1e13742e5c1386ab34c316e926b733e2f262cd2e
|
[
"MIT"
] | null | null | null |
from .taxonomy import NCBITaxonomyScrapper # noqa
| 25.5
| 50
| 0.823529
| 5
| 51
| 8.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137255
| 51
| 1
| 51
| 51
| 0.954545
| 0.078431
| 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
|
2d220acf38089a18ae4e1fbb922e788607331878
| 66
|
py
|
Python
|
pydactyl/api/client/servers/__init__.py
|
jozefbonnar/pydactyl
|
b45ce82ac0e20c786ffd3a65bab959c9bb3226ba
|
[
"MIT"
] | null | null | null |
pydactyl/api/client/servers/__init__.py
|
jozefbonnar/pydactyl
|
b45ce82ac0e20c786ffd3a65bab959c9bb3226ba
|
[
"MIT"
] | null | null | null |
pydactyl/api/client/servers/__init__.py
|
jozefbonnar/pydactyl
|
b45ce82ac0e20c786ffd3a65bab959c9bb3226ba
|
[
"MIT"
] | null | null | null |
# For documentation generator
from .base import ServersBase #noqa
| 33
| 36
| 0.818182
| 8
| 66
| 6.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 66
| 2
| 36
| 33
| 0.947368
| 0.469697
| 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
|
74385e981d67b48213deb3bc55810f310e831fbd
| 254
|
py
|
Python
|
credentials.py
|
jurenner/TweetAnalyzer
|
b65f344b7009bb23f8130e3492a31027694447bf
|
[
"MIT"
] | null | null | null |
credentials.py
|
jurenner/TweetAnalyzer
|
b65f344b7009bb23f8130e3492a31027694447bf
|
[
"MIT"
] | null | null | null |
credentials.py
|
jurenner/TweetAnalyzer
|
b65f344b7009bb23f8130e3492a31027694447bf
|
[
"MIT"
] | null | null | null |
consumer_key = 'v5bb7HD9PmYTvXuCBgCwa44qZ'
consumer_secret = 'tlONgznY4y9S0E4D9JkDVABGGT8ACVgOySt3CPpsKUxU9IE2RS'
twitter_token = '2888299528-05kwbmRfd82mneeJg2EMGhcMXXlFci6yaBWjxCA'
twitter_token_secret = 'h0WLEeq7PNkC1Rd56eyM1oxi1KL4S9sXP8kigYxEB527B'
| 50.8
| 70
| 0.901575
| 14
| 254
| 16
| 0.714286
| 0.107143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177686
| 0.047244
| 254
| 4
| 71
| 63.5
| 0.747934
| 0
| 0
| 0
| 0
| 0
| 0.669291
| 0.669291
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7456345789f44118ccc3453029193e7468495b2f
| 102
|
py
|
Python
|
overhave/entities/report_manager/__init__.py
|
TinkoffCreditSystems/overhave
|
b0ab705ef5c5c5a65fa0b14b173b64fd7310e187
|
[
"Apache-2.0"
] | 33
|
2021-02-01T15:49:37.000Z
|
2021-12-20T00:44:43.000Z
|
overhave/entities/report_manager/__init__.py
|
TinkoffCreditSystems/overhave
|
b0ab705ef5c5c5a65fa0b14b173b64fd7310e187
|
[
"Apache-2.0"
] | 46
|
2021-02-03T12:56:52.000Z
|
2021-12-19T18:50:27.000Z
|
overhave/entities/report_manager/__init__.py
|
TinkoffCreditSystems/overhave
|
b0ab705ef5c5c5a65fa0b14b173b64fd7310e187
|
[
"Apache-2.0"
] | 1
|
2021-12-07T09:02:44.000Z
|
2021-12-07T09:02:44.000Z
|
# flake8: noqa
from .models import ReportPresenceResolution
from .report_manager import ReportManager
| 25.5
| 44
| 0.852941
| 11
| 102
| 7.818182
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010989
| 0.107843
| 102
| 3
| 45
| 34
| 0.934066
| 0.117647
| 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
|
7466a48a3e2c4fb51c95580ab1086b4f70716481
| 244
|
py
|
Python
|
nori/exc.py
|
xxr3376/Nori
|
517b67f9e6622e87fce177246c223f613482181a
|
[
"MIT"
] | 1
|
2016-06-13T10:27:27.000Z
|
2016-06-13T10:27:27.000Z
|
nori/exc.py
|
xxr3376/Nori
|
517b67f9e6622e87fce177246c223f613482181a
|
[
"MIT"
] | null | null | null |
nori/exc.py
|
xxr3376/Nori
|
517b67f9e6622e87fce177246c223f613482181a
|
[
"MIT"
] | null | null | null |
#!-*- encoding=utf-8
class MegNoriBaseException(Exception):
pass
class NoAvaliableVolumeError(MegNoriBaseException):
pass
class PutFileException(MegNoriBaseException):
pass
class GetFileException(MegNoriBaseException):
pass
| 17.428571
| 51
| 0.782787
| 19
| 244
| 10.052632
| 0.526316
| 0.141361
| 0.303665
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004762
| 0.139344
| 244
| 13
| 52
| 18.769231
| 0.904762
| 0.077869
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 1
| 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
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
747c3621b8043eaded1f0a22439dfc6793e14d18
| 51
|
py
|
Python
|
zsl_kg/class_encoders/__init__.py
|
BatsResearch/zsl-kg
|
9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572
|
[
"Apache-2.0"
] | 83
|
2021-08-30T02:50:37.000Z
|
2022-02-22T09:37:36.000Z
|
zsl_kg/class_encoders/__init__.py
|
BatsResearch/zsl-kg
|
9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572
|
[
"Apache-2.0"
] | 2
|
2021-09-10T08:44:13.000Z
|
2022-01-23T17:33:35.000Z
|
zsl_kg/class_encoders/__init__.py
|
BatsResearch/zsl-kg
|
9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572
|
[
"Apache-2.0"
] | 6
|
2021-09-10T07:09:41.000Z
|
2021-11-07T14:31:33.000Z
|
from zsl_kg.class_encoders.auto_gnn import AutoGNN
| 25.5
| 50
| 0.882353
| 9
| 51
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078431
| 51
| 1
| 51
| 51
| 0.893617
| 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
|
7493a08cf62a18353a96bf8b4f3aa2edee6e6f1f
| 20,884
|
py
|
Python
|
pysnmp-with-texts/CHEETAH-TRAP-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 8
|
2019-05-09T17:04:00.000Z
|
2021-06-09T06:50:51.000Z
|
pysnmp-with-texts/CHEETAH-TRAP-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 4
|
2019-05-31T16:42:59.000Z
|
2020-01-31T21:57:17.000Z
|
pysnmp-with-texts/CHEETAH-TRAP-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 10
|
2019-04-30T05:51:36.000Z
|
2022-02-16T03:33:41.000Z
|
#
# PySNMP MIB module CHEETAH-TRAP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CHEETAH-TRAP-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:48:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
slbCurCfgRealServerIndex, fltCurCfgIndx, slbCurCfgVirtServiceRealPort, fltCurCfgPortIndx, slbCurCfgRealServerName, slbCurCfgRealServerIpAddr, fltCurCfgSrcIp = mibBuilder.importSymbols("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex", "fltCurCfgIndx", "slbCurCfgVirtServiceRealPort", "fltCurCfgPortIndx", "slbCurCfgRealServerName", "slbCurCfgRealServerIpAddr", "fltCurCfgSrcIp")
ipCurCfgGwAddr, vrrpCurCfgVirtRtrAddr, vrrpCurCfgVirtRtrIndx, vrrpCurCfgIfPasswd, ipCurCfgGwIndex, vrrpCurCfgIfIndx = mibBuilder.importSymbols("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwAddr", "vrrpCurCfgVirtRtrAddr", "vrrpCurCfgVirtRtrIndx", "vrrpCurCfgIfPasswd", "ipCurCfgGwIndex", "vrrpCurCfgIfIndx")
aws_switch, = mibBuilder.importSymbols("ALTEON-ROOT-MIB", "aws-switch")
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ConstraintsUnion, ValueRangeConstraint, ValueSizeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "ValueRangeConstraint", "ValueSizeConstraint", "SingleValueConstraint")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
sysContact, sysName, sysLocation = mibBuilder.importSymbols("SNMPv2-MIB", "sysContact", "sysName", "sysLocation")
ObjectIdentity, Counter32, TimeTicks, MibIdentifier, ModuleIdentity, Gauge32, Integer32, IpAddress, NotificationType, iso, NotificationType, Unsigned32, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter64 = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "Counter32", "TimeTicks", "MibIdentifier", "ModuleIdentity", "Gauge32", "Integer32", "IpAddress", "NotificationType", "iso", "NotificationType", "Unsigned32", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter64")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
altTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7))
altSwTrapDisplayString = MibScalar((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7, 1000), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: altSwTrapDisplayString.setStatus('mandatory')
if mibBuilder.loadTexts: altSwTrapDisplayString.setDescription('Temporary string object used to store information being sent in an Alteon Switch trap.')
altSwTrapRate = MibScalar((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7, 1001), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: altSwTrapRate.setStatus('mandatory')
if mibBuilder.loadTexts: altSwTrapRate.setDescription('Temporary integer object used to store information being sent in an Alteon Switch trap.')
altSwPrimaryPowerSupplyFailure = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,1))
if mibBuilder.loadTexts: altSwPrimaryPowerSupplyFailure.setDescription('A altSwPrimaryPowerSupplyFailure trap signifies that the primary power supply failed.')
altSwDefGwUp = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,2)).setObjects(("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwIndex"), ("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwAddr"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwDefGwUp.setDescription('A altSwDefGwUp trap signifies that the default gateway is alive. ipCurCfgGwIndex is the index of the Gateway in ipCurCfgGwTable. The range for ipCurCfgGwIndex is from 1 to ipGatewayTableMax. ipCurCfgGwAddr is the IP address of the default gateway.')
altSwDefGwDown = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,3)).setObjects(("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwIndex"), ("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwAddr"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwDefGwDown.setDescription('A altSwDefGwDown trap signifies that the default gateway is down. ipCurCfgGwIndex is the index of the Gateway in ipCurCfgGwTable. The range for ipCurCfgGwIndex is from 1 to ipGatewayTableMax. ipCurCfgGwAddr is the IP address of the default gateway.')
altSwDefGwInService = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,4)).setObjects(("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwIndex"), ("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwAddr"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwDefGwInService.setDescription('A altSwDefGwEnabled trap signifies that the default gateway is up and in service. ipCurCfgGwIndex is the index of the Gateway in ipCurCfgGwTable. The range for ipCurCfgGwIndex is from 1 to ipGatewayTableMax. ipCurCfgGwAddr is the IP address of the default gateway.')
altSwDefGwNotInService = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,5)).setObjects(("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwIndex"), ("ALTEON-CHEETAH-NETWORK-MIB", "ipCurCfgGwAddr"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwDefGwNotInService.setDescription('A altSwDefGwDisabled trap signifies that the default gateway is alive but not in service. ipCurCfgGwIndex is the index of the Gateway in ipCurCfgGwTable. The range for ipCurCfgGwIndex is from 1 to ipGatewayTableMax. ipCurCfgGwAddr is the IP address of the default gateway.')
altSwSlbRealServerUp = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,6)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbRealServerUp.setDescription('A altSwSlbRealServerUp trap signifies that the real server (which had gone down )is back up and operational now. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server.')
altSwSlbRealServerDown = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,7)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbRealServerDown.setDescription('A altSwSlbRealServerDown trap signifies that the real server has gone down and is out of service. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server.')
altSwSlbRealServerMaxConnReached = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,8)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbRealServerMaxConnReached.setDescription('A altSwSlbRealServerMaxConnReached trap signifies that the real server has reached maximum connections. The Real server will not be sent any more traffic from the switch until the number of connections drops below the maximum. If a backup server has been specified, it will be used to service additional requests, which is referred to as an Overflow server. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server.')
altSwSlbBkupRealServerAct = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,9)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbBkupRealServerAct.setDescription('A altSwSlbBkupRealServerAct trap signifies that this backup real server has been activated because the Real server that it backs up went down.One might expect that a altSwSlbRealServerDown trap with the primary real server specified would preceded this one. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server.')
altSwSlbBkupRealServerDeact = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,10)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbBkupRealServerDeact.setDescription('A altSwSlbBkupRealServerDeact trap signifies that the backup real server is deactivated because the primary real server has become available.One might expect that a altSwSlbRealServerUp trap with the primary real server specified would preceded this one. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server.')
altSwSlbBkupRealServerActOverflow = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,11)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbBkupRealServerActOverflow.setDescription('A altSwSlbBkupRealServerActOverflow trap signifies that the backup real server is activated because the primary real server has reached the maximum allowed connections and is considered to be is in the Overflow state.One would expect an altSwSlbRealServerMaxConnReached trap from the Real server that just entered Overflow would preceded this one. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server.')
altSwSlbBkupRealServerDeactOverflow = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,12)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbBkupRealServerDeactOverflow.setDescription('A altSwSlbBkupRealServerDeactOverflow trap signifies that the backup real server is deactivated because the primary real server is no longer in Overflow. The number of connections to the real server has fallen below the maximum allowed. The backup/overflow server is no longer needed. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server.')
altSwfltFilterFired = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,13)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "fltCurCfgIndx"), ("ALTEON-CHEETAH-LAYER4-MIB", "fltCurCfgPortIndx"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwfltFilterFired.setDescription('A altSwfltFilterFired trap signifies that the packet received on a switch port matches the filter rule. on a switch port matches the filter rule. fltCurCfgIndx is the affected filter index, referenced in fltCurCfgTable. The range is from 1 to fltCfgTableMaxSize. fltCurCfgPortIndx is the affected port index, referenced in fltCurCfgPortTable. The range is from 1 to agPortTableMaxEnt.')
altSwSlbRealServerServiceUp = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,14)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgVirtServiceRealPort"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbRealServerServiceUp.setDescription('A altSwSlbRealServerServiceUp trap signifies that the service port of the real server is up and operational. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to the value return from slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server. slbCurCfgVirtualServiceRealPort referenced in slbCurCfgVirtServicesTable. This is the layer 4 real port number of the service.')
altSwSlbRealServerServiceDown = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,15)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIndex"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerIpAddr"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgRealServerName"), ("ALTEON-CHEETAH-LAYER4-MIB", "slbCurCfgVirtServiceRealPort"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbRealServerServiceDown.setDescription('A altSwSlbRealServerServiceDown trap signifies that the service port of the real server is down and out of service. slbCurCfgRealServerIndex is the affected Real Server Number. The range is from 1 to the value return from slbRealServerMaxSize. slbCurCfgRealServerIpAddr is the IP address of the affected Real Server. slbCurCfgRealServerName is the optional Name given to the affected Real Server. slbCurCfgVirtualServiceRealPort referenced in slbCurCfgVirtServicesTable. This is the layer 4 real port number of the service.')
altSwVrrpNewMaster = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,16)).setObjects(("ALTEON-CHEETAH-NETWORK-MIB", "vrrpCurCfgVirtRtrIndx"), ("ALTEON-CHEETAH-NETWORK-MIB", "vrrpCurCfgVirtRtrAddr"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwVrrpNewMaster.setDescription("The altSwVrrpNewMaster trap indicates that the sending agent has transitioned to 'Master' state. vrrpCurCfgVirtRtrIndx is the VRRP virtual router table index referenced in vrrpCurCfgVirtRtrTable. The range is from 1 to vrrpVirtRtrTableMaxSize. vrrpCurCfgVirtRtrAddr is the VRRP virtual router IP address.")
altSwVrrpNewBackup = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,17)).setObjects(("ALTEON-CHEETAH-NETWORK-MIB", "vrrpCurCfgVirtRtrIndx"), ("ALTEON-CHEETAH-NETWORK-MIB", "vrrpCurCfgVirtRtrAddr"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwVrrpNewBackup.setDescription("The altSwVrrpNewBackup trap indicates that the sending agent has transitioned to 'Backup' state. vrrpCurCfgVirtRtrIndx is the VRRP virtual router table index referenced in vrrpCurCfgVirtRtrTable. The range is from 1 to vrrpVirtRtrTableMaxSize. vrrpCurCfgVirtRtrAddr is the VRRP virtual router IP address.")
altSwVrrpAuthFailure = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,18)).setObjects(("ALTEON-CHEETAH-NETWORK-MIB", "vrrpCurCfgIfIndx"), ("ALTEON-CHEETAH-NETWORK-MIB", "vrrpCurCfgIfPasswd"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwVrrpAuthFailure.setDescription("A altSwVrrpAuthFailure trap signifies that a packet has been received from a router whose authentication key or authentication type conflicts with this router's authentication key or authentication type. Implementation of this trap is optional. vrrpCurCfgIfIndx is the VRRP interface index. This is equivalent to IfIndex in RFC 1213 mib. The range is from 1 to vrrpIfTableMaxSize. vrrpCurCfgIfPasswd is the password for authentication. It is a DisplayString of 0 to 7 characters.")
altSwLoginFailure = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,19)).setObjects(("CHEETAH-TRAP-MIB", "altSwTrapDisplayString"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwLoginFailure.setDescription('A altSwLoginFailure trap signifies that someone failed to enter a valid username/password combination. altSwTrapDisplayString specifies whether the login attempt was from CONSOLE or TELNET. In case of TELNET login it also specifies the IP address of the host from which the attempt was made.')
altSwSlbSynAttack = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,20)).setObjects(("CHEETAH-TRAP-MIB", "altSwTrapRate"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwSlbSynAttack.setDescription('A altSwSlbSynAttack trap signifies that a SYN attack has been detected. altSwTrapRate specifies the number of new half-open sessions per second.')
altSwTcpHoldDown = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,21)).setObjects(("ALTEON-CHEETAH-LAYER4-MIB", "fltCurCfgSrcIp"), ("CHEETAH-TRAP-MIB", "altSwTrapRate"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwTcpHoldDown.setDescription('A altSwTcpHoldDown trap signifies that new TCP connection requests from a particular client will be blocked for a pre-determined amount of time since the rate of new TCP connections from that client has reached a pre-determined threshold. The fltCurCfgSrcIp is the client source IP address for which new TCP connection requests will be blocked. The altSwTrapRate specifies the amount of time in minutes that the particular client will be blocked.')
altSwTempExceedThreshold = NotificationType((1, 3, 6, 1, 4, 1, 1872, 2, 5, 7) + (0,22)).setObjects(("CHEETAH-TRAP-MIB", "altSwTrapDisplayString"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("SNMPv2-MIB", "sysContact"))
if mibBuilder.loadTexts: altSwTempExceedThreshold.setDescription('A altSwTempExceedThreshold trap signifies that the switch temperature has exceeded maximum safety limits. altSwTrapDisplayString specifies the sensor, the current sensor temperature and the threshold for the particular sensor.')
mibBuilder.exportSymbols("CHEETAH-TRAP-MIB", altSwTrapDisplayString=altSwTrapDisplayString, altSwSlbRealServerMaxConnReached=altSwSlbRealServerMaxConnReached, altSwVrrpNewBackup=altSwVrrpNewBackup, altTraps=altTraps, altSwSlbRealServerServiceUp=altSwSlbRealServerServiceUp, altSwPrimaryPowerSupplyFailure=altSwPrimaryPowerSupplyFailure, altSwTrapRate=altSwTrapRate, altSwVrrpNewMaster=altSwVrrpNewMaster, altSwSlbBkupRealServerActOverflow=altSwSlbBkupRealServerActOverflow, altSwDefGwDown=altSwDefGwDown, altSwSlbRealServerUp=altSwSlbRealServerUp, altSwfltFilterFired=altSwfltFilterFired, altSwLoginFailure=altSwLoginFailure, altSwSlbRealServerServiceDown=altSwSlbRealServerServiceDown, altSwSlbBkupRealServerDeact=altSwSlbBkupRealServerDeact, altSwSlbBkupRealServerAct=altSwSlbBkupRealServerAct, altSwTcpHoldDown=altSwTcpHoldDown, altSwSlbSynAttack=altSwSlbSynAttack, altSwTempExceedThreshold=altSwTempExceedThreshold, altSwVrrpAuthFailure=altSwVrrpAuthFailure, altSwDefGwNotInService=altSwDefGwNotInService, altSwSlbBkupRealServerDeactOverflow=altSwSlbBkupRealServerDeactOverflow, altSwDefGwUp=altSwDefGwUp, altSwSlbRealServerDown=altSwSlbRealServerDown, altSwDefGwInService=altSwDefGwInService)
| 298.342857
| 1,197
| 0.794867
| 2,419
| 20,884
| 6.861926
| 0.143448
| 0.034701
| 0.037773
| 0.043738
| 0.618712
| 0.577324
| 0.557805
| 0.53214
| 0.520935
| 0.515031
| 0
| 0.031081
| 0.095671
| 20,884
| 69
| 1,198
| 302.666667
| 0.847824
| 0.01561
| 0
| 0
| 0
| 0.33871
| 0.622609
| 0.182296
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.064516
| 0.16129
| 0
| 0.16129
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
77b8e9b8dfcaad7531c311b917c2df613eb353fa
| 102
|
py
|
Python
|
aat/core/risk/__init__.py
|
ryuuni/aat
|
1a46d21463f8e080c389d1011b35d6a3fd036545
|
[
"Apache-2.0"
] | null | null | null |
aat/core/risk/__init__.py
|
ryuuni/aat
|
1a46d21463f8e080c389d1011b35d6a3fd036545
|
[
"Apache-2.0"
] | null | null | null |
aat/core/risk/__init__.py
|
ryuuni/aat
|
1a46d21463f8e080c389d1011b35d6a3fd036545
|
[
"Apache-2.0"
] | null | null | null |
from .calculations import CalculationsMixin # noqa: F401
from .risk import RiskManager # noqa: F401
| 34
| 57
| 0.784314
| 12
| 102
| 6.666667
| 0.666667
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.069767
| 0.156863
| 102
| 2
| 58
| 51
| 0.860465
| 0.205882
| 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
|
77fb14518cce9693549b98718a8b09107e266d98
| 4,606
|
py
|
Python
|
soerp/umath/umath.py
|
tisimst/soerp
|
82664f96a94619dd42e5d2ef2ea6e4382ea58791
|
[
"BSD-3-Clause"
] | 30
|
2015-03-18T19:04:32.000Z
|
2022-01-10T01:20:38.000Z
|
soerp/umath/umath.py
|
tisimst/soerp
|
82664f96a94619dd42e5d2ef2ea6e4382ea58791
|
[
"BSD-3-Clause"
] | 4
|
2015-03-10T02:24:59.000Z
|
2017-09-27T16:10:51.000Z
|
soerp/umath/umath.py
|
tisimst/soerp
|
82664f96a94619dd42e5d2ef2ea6e4382ea58791
|
[
"BSD-3-Clause"
] | 5
|
2016-09-08T13:29:39.000Z
|
2021-02-02T18:41:15.000Z
|
"""
Generalizes mathematical operators that work on numeric objects (from the math
module) compatible with objects with uncertainty distributions
"""
from soerp import _make_UF_compatible_object
from ad.admath import admath
#import sys
__author__ = 'Abraham Lee'
__all__ = []
e = admath.e
pi = admath.pi
__all__.append('e')
__all__.append('pi')
def abs(x):
return _make_UF_compatible_object(admath.abs(x))
__all__.append('abs')
def acos(x):
return _make_UF_compatible_object(admath.acos(x))
__all__.append('acos')
def acosh(x):
return _make_UF_compatible_object(admath.acosh(x))
__all__.append('acosh')
def acot(x):
return _make_UF_compatible_object(admath.acot(x))
__all__.append('acot')
def acoth(x):
return _make_UF_compatible_object(admath.acoth(x))
__all__.append('acoth')
def acsc(x):
return _make_UF_compatible_object(admath.acsc(x))
__all__.append('acsc')
def acsch(x):
return _make_UF_compatible_object(admath.acsch(x))
__all__.append('acsch')
def asec(x):
return _make_UF_compatible_object(admath.asec(x))
__all__.append('asec')
def asech(x):
return _make_UF_compatible_object(admath.asech(x))
__all__.append('asech')
def asin(x):
return _make_UF_compatible_object(admath.asin(x))
__all__.append('asin')
def asinh(x):
return _make_UF_compatible_object(admath.asinh(x))
__all__.append('asinh')
def atan(x):
return _make_UF_compatible_object(admath.atan(x))
__all__.append('atan')
def atan2(y, x):
return _make_UF_compatible_object(admath.atan2(y, x))
__all__.append('atan2')
def atanh(x):
return _make_UF_compatible_object(admath.atanh(x))
__all__.append('atanh')
def ceil(x):
return _make_UF_compatible_object(admath.ceil(x))
__all__.append('ceil')
def cos(x):
return _make_UF_compatible_object(admath.cos(x))
__all__.append('cos')
def cosh(x):
return _make_UF_compatible_object(admath.cosh(x))
__all__.append('cosh')
def cot(x):
return _make_UF_compatible_object(admath.cot(x))
__all__.append('cot')
def coth(x):
return _make_UF_compatible_object(admath.coth(x))
__all__.append('coth')
def csc(x):
return _make_UF_compatible_object(admath.csc(x))
__all__.append('csc')
def csch(x):
return _make_UF_compatible_object(admath.csch(x))
__all__.append('csch')
def degrees(x):
return _make_UF_compatible_object(admath.degrees(x))
__all__.append('degrees')
def erf(x):
return _make_UF_compatible_object(admath.erf(x))
__all__.append('erf')
def erfc(x):
return _make_UF_compatible_object(admath.erfc(x))
__all__.append('erfc')
def exp(x):
return _make_UF_compatible_object(admath.exp(x))
__all__.append('exp')
def expm1(x):
return _make_UF_compatible_object(admath.expm1(x))
__all__.append('expm1')
def fabs(x):
return _make_UF_compatible_object(admath.fabs(x))
__all__.append('fabs')
def factorial(x):
return _make_UF_compatible_object(admath.factorial(x))
__all__.append('factorial')
def floor(x):
return _make_UF_compatible_object(admath.floor(x))
__all__.append('floor')
def gamma(x):
return _make_UF_compatible_object(admath.gamma(x))
__all__.append('gamma')
def lgamma(x):
return _make_UF_compatible_object(admath.lgamma(x))
__all__.append('lgamma')
def hypot(x,y):
return _make_UF_compatible_object(admath.hypot(x,y))
__all__.append('hypot')
def ln(x):
return _make_UF_compatible_object(admath.ln(x))
__all__.append('ln')
def log(x, base):
return _make_UF_compatible_object(admath.log(x, base))
__all__.append('log')
def log10(x):
return _make_UF_compatible_object(admath.log10(x))
__all__.append('log10')
def log1p(x):
return _make_UF_compatible_object(admath.log1p(x))
__all__.append('log1p')
def pow(x):
return _make_UF_compatible_object(admath.pow(x))
__all__.append('pow')
def radians(x):
return _make_UF_compatible_object(admath.radians(x))
__all__.append('radians')
def sec(x):
return _make_UF_compatible_object(admath.sec(x))
__all__.append('sec')
def sech(x):
return _make_UF_compatible_object(admath.sech(x))
__all__.append('sech')
def sin(x):
return _make_UF_compatible_object(admath.sin(x))
__all__.append('sin')
def sinh(x):
return _make_UF_compatible_object(admath.sinh(x))
__all__.append('sinh')
def sqrt(x):
return _make_UF_compatible_object(admath.sqrt(x))
__all__.append('sqrt')
def tan(x):
return _make_UF_compatible_object(admath.tan(x))
__all__.append('tan')
def tanh(x):
return _make_UF_compatible_object(admath.tanh(x))
__all__.append('tanh')
def trunc(x):
return _make_UF_compatible_object(admath.trunc(x))
__all__.append('trunc')
| 22.468293
| 78
| 0.749457
| 698
| 4,606
| 4.389685
| 0.117479
| 0.140992
| 0.245431
| 0.337467
| 0.524804
| 0.524804
| 0.502611
| 0
| 0
| 0
| 0
| 0.003671
| 0.112896
| 4,606
| 204
| 79
| 22.578431
| 0.746207
| 0.033
| 0
| 0
| 0
| 0
| 0.047683
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.315068
| false
| 0
| 0.013699
| 0.315068
| 0.643836
| 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
|
7ac4113b39e839281550e691353c01ac019bb819
| 3,998
|
py
|
Python
|
tests/task/test_aat_trip.py
|
tpatja/opensoar
|
ab08153f3edbab94b1a024a2734162e965163b74
|
[
"MIT"
] | 9
|
2018-06-14T11:03:16.000Z
|
2021-12-11T22:02:16.000Z
|
tests/task/test_aat_trip.py
|
tpatja/opensoar
|
ab08153f3edbab94b1a024a2734162e965163b74
|
[
"MIT"
] | 15
|
2018-04-02T22:08:21.000Z
|
2020-05-22T19:14:57.000Z
|
tests/task/test_aat_trip.py
|
GliderGeek/OpenSoar
|
772b08f9bb09f5c9d7783f2556a06561e36467f0
|
[
"MIT"
] | 8
|
2018-06-04T01:41:15.000Z
|
2021-11-24T13:49:34.000Z
|
import datetime
import unittest
import os
from opensoar.task.trip import Trip
from tests.task.helper_functions import get_trace, get_task
class TestAATTrip(unittest.TestCase):
# https://www.soaringspot.com/en_gb/cae-nls-nederlandse-kampioenschappen-zweefvliegen-2012/results/club/task-10-on-2012-05-26/daily
# competitor 3, SP
cwd = os.path.dirname(__file__)
igc_path = os.path.join(cwd, '..', 'igc_files', 'aat_completed.igc')
aat = get_task(igc_path)
trace = get_trace(igc_path)
trip = Trip(aat, trace)
def test_total_distance(self):
total_distance = sum(self.trip.distances)
self.assertAlmostEqual(total_distance / 1e3, 199.42, places=2)
def test_start_time(self):
start_time = self.trip.fixes[0]['time']
expected_start_time = datetime.time(12, 22, 8)
self.assertEqual(expected_start_time, start_time)
def test_finish_time(self):
finish_time = self.trip.finish_time
expected_finish_time = datetime.time(15, 52, 8)
self.assertEqual(expected_finish_time, finish_time)
class TestAATTripOutlandingOutside(unittest.TestCase):
"""
Test AAT Trip in which an outlanding takes place outside the last rounded sector.
"""
# https://www.soaringspot.com/en_gb/cae-nls-nederlandse-kampioenschappen-zweefvliegen-2012/results/club/task-10-on-2012-05-26/daily
# competitor 5, CEO
cwd = os.path.dirname(__file__)
igc_path = os.path.join(cwd, '..', 'igc_files', 'aat_outlanding_outside_sector.igc')
aat = get_task(igc_path)
trace = get_trace(igc_path)
trip = Trip(aat, trace)
def test_trip_fixes(self):
# assert correct number of trip fixes
self.assertEqual(len(self.trip.fixes), 3)
# assert if opensoar finds same fixes as seeyou, based on time
fix_times = [
# tuple with (opensoar time, SeeYou time)
(self.trip.refined_start_time, datetime.time(12, 14, 21)),
(self.trip.fixes[1]['time'], datetime.time(12, 49, 22)),
(self.trip.fixes[2]['time'], datetime.time(13, 26, 14)),
(self.trip.outlanding_fix['time'], datetime.time(14, 8, 0)),
]
for opensoar_time, seeyou_time in fix_times:
self.assertEqual(seeyou_time, opensoar_time)
# todo: fix total distance calculation. why is this different from seeyou?
# def test_total_distance(self):
# total_distance = sum(self.trip.distances)
# self.assertAlmostEqual(total_distance / 1e3, 98.54, places=2)
class TestAATTripOutlandingInside(unittest.TestCase):
"""
Test AAT Trip in which an outlanding takes place inside the last rounded sector.
"""
# https://www.soaringspot.com/en_gb/cae-nls-nederlandse-kampioenschappen-zweefvliegen-2012/results/club/task-10-on-2012-05-26/daily
# competitor 7, YES
cwd = os.path.dirname(__file__)
igc_path = os.path.join(cwd, '..', 'igc_files', 'aat_outlanding_inside_sector.igc')
aat = get_task(igc_path)
trace = get_trace(igc_path)
trip = Trip(aat, trace)
def test_trip_fixes(self):
# assert correct number of trip fixes
self.assertEqual(len(self.trip.fixes), 4)
# assert if opensoar finds same fixes as seeyou, based on time
fix_times = [
# tuple with (opensoar time, SeeYou time)
(self.trip.refined_start_time, datetime.time(12, 24, 14)),
(self.trip.fixes[1]['time'], datetime.time(12, 57, 53)),
(self.trip.fixes[2]['time'], datetime.time(13, 42, 31)),
(self.trip.fixes[3]['time'], datetime.time(14, 4, 5)),
(self.trip.outlanding_fix['time'], datetime.time(14, 5, 49)),
]
for opensoar_time, seeyou_time in fix_times:
self.assertEqual(seeyou_time, opensoar_time)
def test_total_distance(self):
total_distance = sum(self.trip.distances)
self.assertAlmostEqual(total_distance / 1e3, 86.07, places=2)
# todo: add ENL testcase
| 37.018519
| 135
| 0.670085
| 548
| 3,998
| 4.717153
| 0.235401
| 0.049516
| 0.068085
| 0.034816
| 0.744681
| 0.735783
| 0.735783
| 0.735783
| 0.656093
| 0.656093
| 0
| 0.042351
| 0.208604
| 3,998
| 107
| 136
| 37.364486
| 0.774652
| 0.27989
| 0
| 0.413793
| 0
| 0
| 0.051907
| 0.022952
| 0
| 0
| 0
| 0.018692
| 0.137931
| 1
| 0.103448
| false
| 0
| 0.086207
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
bb0d1b06b1fc0f0d64e0db4b1d7157325e258da5
| 330
|
py
|
Python
|
microfpga/_tests/test_controller.py
|
mufpga/MicroFPGA-py
|
0965eb1c253f8ea90e658bffac231ae0fe6db16b
|
[
"BSD-3-Clause"
] | 2
|
2021-09-24T17:42:58.000Z
|
2022-02-11T14:47:47.000Z
|
microfpga/_tests/test_controller.py
|
mufpga/MicroFPGA-py
|
0965eb1c253f8ea90e658bffac231ae0fe6db16b
|
[
"BSD-3-Clause"
] | 3
|
2021-11-04T12:14:19.000Z
|
2021-11-10T19:41:15.000Z
|
microfpga/_tests/test_controller.py
|
mufpga/MicroFPGA-py
|
0965eb1c253f8ea90e658bffac231ae0fe6db16b
|
[
"BSD-3-Clause"
] | null | null | null |
""" Test if controller can be instantiated.
"""
from microfpga.controller import MicroFPGA
def test_instantiation_microfpga():
""" Simply test if a controller can be instantiated in the absence of any
device.
This allows also knowing whether the dependencies create problems.
:return:
"""
MicroFPGA()
| 20.625
| 77
| 0.718182
| 40
| 330
| 5.875
| 0.7
| 0.051064
| 0.12766
| 0.229787
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212121
| 330
| 15
| 78
| 22
| 0.903846
| 0.590909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bb2b1670f3517cebac21d4ad52c4f07e818a35af
| 142
|
py
|
Python
|
algorithm/__init__.py
|
hhhercules/InterFusion
|
8f12287eab83ca03b0938793f3030aabe3e854be
|
[
"MIT"
] | 68
|
2021-07-21T13:02:55.000Z
|
2022-03-20T09:26:11.000Z
|
algorithm/__init__.py
|
hhhercules/InterFusion
|
8f12287eab83ca03b0938793f3030aabe3e854be
|
[
"MIT"
] | 10
|
2021-09-02T02:42:37.000Z
|
2022-03-29T02:06:13.000Z
|
algorithm/__init__.py
|
hhhercules/InterFusion
|
8f12287eab83ca03b0938793f3030aabe3e854be
|
[
"MIT"
] | 21
|
2021-09-04T20:58:25.000Z
|
2022-03-18T07:25:16.000Z
|
from .recurrent_distribution import RecurrentDistribution
from .real_nvp import dense_real_nvp
from .utils import *
from .mcmc_recons import *
| 35.5
| 57
| 0.852113
| 19
| 142
| 6.105263
| 0.578947
| 0.12069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105634
| 142
| 4
| 58
| 35.5
| 0.913386
| 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
|
bb4896ee059560d409c89851e2ebf035bb76ae31
| 120
|
py
|
Python
|
codewars/python/string_ends_with.py
|
bernardosequeir/CTFfiles
|
36a6ceba49d9a9019056d3669c5e8f84aa83b618
|
[
"MIT"
] | null | null | null |
codewars/python/string_ends_with.py
|
bernardosequeir/CTFfiles
|
36a6ceba49d9a9019056d3669c5e8f84aa83b618
|
[
"MIT"
] | 5
|
2020-09-23T18:28:25.000Z
|
2020-09-23T18:28:41.000Z
|
codewars/python/string_ends_with.py
|
bernardosequeir/CTFSolutions
|
503944617cb18826d12ab98fa33fd761e791328a
|
[
"MIT"
] | null | null | null |
def solution(string, ending):
return string[-len(ending):] == ending
solution('abcde', 'cde')
solution('abcde', 'abc')
| 30
| 40
| 0.683333
| 15
| 120
| 5.466667
| 0.6
| 0.317073
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 120
| 4
| 41
| 30
| 0.759259
| 0
| 0
| 0
| 0
| 0
| 0.132231
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.5
| 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
| 1
| 0
| 0
|
0
| 5
|
248a93c8dadc868d9ec826f5820d91bb053a26ec
| 115
|
py
|
Python
|
hooks/hook-fvcore.py
|
CALM-LMU/YeastMateBackend
|
f2d6fef9f487a9ae95256fafca9e6824e7e2f144
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
hooks/hook-fvcore.py
|
CALM-LMU/YeastMateBackend
|
f2d6fef9f487a9ae95256fafca9e6824e7e2f144
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
hooks/hook-fvcore.py
|
CALM-LMU/YeastMateBackend
|
f2d6fef9f487a9ae95256fafca9e6824e7e2f144
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
from PyInstaller.utils.hooks import collect_data_files
datas = collect_data_files('fvcore', include_py_files=True)
| 38.333333
| 59
| 0.852174
| 17
| 115
| 5.411765
| 0.764706
| 0.23913
| 0.347826
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.069565
| 115
| 3
| 59
| 38.333333
| 0.859813
| 0
| 0
| 0
| 0
| 0
| 0.051724
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 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
|
24943e30cf8ba2718dc58a03558f1dc582eab46d
| 249
|
py
|
Python
|
assemblyline_service_server/helper/heuristics.py
|
CybercentreCanada/assemblyline-service-server
|
f4fbc7dcab122fa63fcc598db1c23a770c10145f
|
[
"MIT"
] | 6
|
2020-06-29T14:32:24.000Z
|
2022-01-03T19:40:39.000Z
|
assemblyline_service_server/helper/heuristics.py
|
CybercentreCanada/assemblyline-service-server
|
f4fbc7dcab122fa63fcc598db1c23a770c10145f
|
[
"MIT"
] | null | null | null |
assemblyline_service_server/helper/heuristics.py
|
CybercentreCanada/assemblyline-service-server
|
f4fbc7dcab122fa63fcc598db1c23a770c10145f
|
[
"MIT"
] | 2
|
2021-01-15T18:31:17.000Z
|
2021-05-29T15:57:08.000Z
|
from typing import Dict
from assemblyline.odm.models.heuristic import Heuristic
from assemblyline_service_server.config import STORAGE
def get_heuristics() -> Dict[str, Heuristic]:
return {h.heur_id: h for h in STORAGE.list_all_heuristics()}
| 27.666667
| 64
| 0.799197
| 36
| 249
| 5.361111
| 0.666667
| 0.165803
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124498
| 249
| 8
| 65
| 31.125
| 0.885321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.6
| 0.2
| 1
| 0
| 0
| 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
| 1
| 1
| 0
|
0
| 5
|
24d0f3adfdbeaac986baf92045969b60773515bd
| 114
|
py
|
Python
|
apps/common/gated_logger.py
|
ycheng-aa/gated_launch_backend
|
cbb9e7e530ab28d5914276e9607ebfcf84be6433
|
[
"MIT"
] | null | null | null |
apps/common/gated_logger.py
|
ycheng-aa/gated_launch_backend
|
cbb9e7e530ab28d5914276e9607ebfcf84be6433
|
[
"MIT"
] | null | null | null |
apps/common/gated_logger.py
|
ycheng-aa/gated_launch_backend
|
cbb9e7e530ab28d5914276e9607ebfcf84be6433
|
[
"MIT"
] | null | null | null |
import logging
gated_debug_logger = logging.getLogger("debug")
gated_access_logger = logging.getLogger("access")
| 22.8
| 49
| 0.815789
| 14
| 114
| 6.357143
| 0.5
| 0.292135
| 0.494382
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 114
| 4
| 50
| 28.5
| 0.847619
| 0
| 0
| 0
| 0
| 0
| 0.096491
| 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
|
24d1d7fbbf00c16f5edefae8733f7ca1cbe6391c
| 188
|
py
|
Python
|
events/tests/test_base.py
|
kuter/events-web-app
|
e900d43bac2a382ad088a270ae80b32c5dcf9911
|
[
"MIT"
] | null | null | null |
events/tests/test_base.py
|
kuter/events-web-app
|
e900d43bac2a382ad088a270ae80b32c5dcf9911
|
[
"MIT"
] | 10
|
2020-06-29T18:32:02.000Z
|
2022-02-10T11:16:05.000Z
|
events/tests/test_base.py
|
kuter/events-web-app
|
e900d43bac2a382ad088a270ae80b32c5dcf9911
|
[
"MIT"
] | 1
|
2022-02-01T16:09:15.000Z
|
2022-02-01T16:09:15.000Z
|
import datetime
TODAY = datetime.date.today()
YESTERDAY = TODAY - datetime.timedelta(days=1)
TOMORROW = TODAY + datetime.timedelta(days=1)
NEXT_WEEK = TODAY + datetime.timedelta(weeks=1)
| 26.857143
| 47
| 0.765957
| 25
| 188
| 5.72
| 0.48
| 0.363636
| 0.461538
| 0.363636
| 0.377622
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017964
| 0.111702
| 188
| 6
| 48
| 31.333333
| 0.838323
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 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
|
24d8c3722b7509b30d9548bc29364ae91aa6977b
| 242
|
py
|
Python
|
movies/admin.py
|
Neo945/Movie-Recommender-System
|
dfefe12b88aee872608aac504f34602a9b3494bc
|
[
"MIT"
] | null | null | null |
movies/admin.py
|
Neo945/Movie-Recommender-System
|
dfefe12b88aee872608aac504f34602a9b3494bc
|
[
"MIT"
] | null | null | null |
movies/admin.py
|
Neo945/Movie-Recommender-System
|
dfefe12b88aee872608aac504f34602a9b3494bc
|
[
"MIT"
] | null | null | null |
from movies.models import Director, Genre, Movie, movie_genre
from django.contrib import admin
# Register your models here.
admin.site.register(Movie)
admin.site.register(Genre)
admin.site.register(Director)
admin.site.register(movie_genre)
| 26.888889
| 61
| 0.818182
| 35
| 242
| 5.6
| 0.4
| 0.183673
| 0.346939
| 0.22449
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086777
| 242
| 8
| 62
| 30.25
| 0.886878
| 0.107438
| 0
| 0
| 0
| 0
| 0
| 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
|
24e56efc3df0a08992781a8fb30a3daf7a1f1f4a
| 139
|
py
|
Python
|
src/python/txtai/workflow/__init__.py
|
malywonsz/txtai
|
ace1b04161062430887eb2153961abcd819a5afb
|
[
"Apache-2.0"
] | 1,893
|
2020-08-09T19:55:46.000Z
|
2022-03-31T22:03:13.000Z
|
src/python/txtai/workflow/__init__.py
|
aria1991/txtai
|
fa342a4f6a69fb1e2cea0e85e39915f055ee8503
|
[
"Apache-2.0"
] | 243
|
2020-08-12T15:22:31.000Z
|
2022-03-31T17:16:28.000Z
|
src/python/txtai/workflow/__init__.py
|
aria1991/txtai
|
fa342a4f6a69fb1e2cea0e85e39915f055ee8503
|
[
"Apache-2.0"
] | 189
|
2020-08-12T20:42:53.000Z
|
2022-03-30T13:32:46.000Z
|
"""
Workflow imports
"""
from .base import Workflow
from .execute import Execute
from .factory import WorkflowFactory
from .task import *
| 15.444444
| 36
| 0.769784
| 17
| 139
| 6.294118
| 0.529412
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151079
| 139
| 8
| 37
| 17.375
| 0.90678
| 0.115108
| 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
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.