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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ab0c88ee9a64231ee456e7fc458722131e67cfd9
| 34
|
py
|
Python
|
Module 1/Chapter 7/prog1.py
|
PacktPublishing/Raspberry-Pi-Making-Amazing-Projects-Right-from-Scratch-
|
49fd30ca8e1e30e7d85cf14e9dcb6e1d24d4a445
|
[
"MIT"
] | 3
|
2016-11-15T02:27:27.000Z
|
2017-12-28T20:14:21.000Z
|
Module 1/Chapter 7/prog1.py
|
PacktPublishing/Raspberry-Pi-Making-Amazing-Projects-Right-from-Scratch-
|
49fd30ca8e1e30e7d85cf14e9dcb6e1d24d4a445
|
[
"MIT"
] | null | null | null |
Module 1/Chapter 7/prog1.py
|
PacktPublishing/Raspberry-Pi-Making-Amazing-Projects-Right-from-Scratch-
|
49fd30ca8e1e30e7d85cf14e9dcb6e1d24d4a445
|
[
"MIT"
] | 5
|
2017-12-28T20:16:05.000Z
|
2021-04-22T17:30:05.000Z
|
import cv2
print cv2.__version__
| 11.333333
| 22
| 0.823529
| 5
| 34
| 4.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 0.147059
| 34
| 2
| 23
| 17
| 0.758621
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| 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
| 1
| 0
| 0
| 1
|
0
| 6
|
ab52d48313f3351abea75bf8f470d2befb8d9c79
| 62
|
py
|
Python
|
tests/__init__.py
|
madman-bob/python-lua-imports
|
76d3765b03a0478544214022118e5a4a13f6e36a
|
[
"MIT"
] | 3
|
2020-04-15T00:00:42.000Z
|
2021-03-07T19:58:44.000Z
|
tests/__init__.py
|
madman-bob/python-lua-imports
|
76d3765b03a0478544214022118e5a4a13f6e36a
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
madman-bob/python-lua-imports
|
76d3765b03a0478544214022118e5a4a13f6e36a
|
[
"MIT"
] | 1
|
2020-10-05T16:21:53.000Z
|
2020-10-05T16:21:53.000Z
|
from lua_imports import lua_importer
lua_importer.register()
| 15.5
| 36
| 0.854839
| 9
| 62
| 5.555556
| 0.666667
| 0.44
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 62
| 3
| 37
| 20.666667
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
db8f2e8178561d3e8ad8161722df05fc9f1febff
| 55
|
py
|
Python
|
uncertainty/util/__init__.py
|
sangdon/intern2020_cocal
|
2f434b76fbf3426c6685fb92c5bbc2d32fcba7ba
|
[
"Apache-2.0"
] | null | null | null |
uncertainty/util/__init__.py
|
sangdon/intern2020_cocal
|
2f434b76fbf3426c6685fb92c5bbc2d32fcba7ba
|
[
"Apache-2.0"
] | 4
|
2020-09-02T04:20:06.000Z
|
2022-02-10T02:13:35.000Z
|
uncertainty/util/__init__.py
|
sangdon/intern2020_cocal
|
2f434b76fbf3426c6685fb92c5bbc2d32fcba7ba
|
[
"Apache-2.0"
] | 1
|
2020-08-31T16:17:28.000Z
|
2020-08-31T16:17:28.000Z
|
from util.args import *
from util.logger import Logger
| 18.333333
| 30
| 0.8
| 9
| 55
| 4.888889
| 0.555556
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145455
| 55
| 2
| 31
| 27.5
| 0.93617
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
dbd4c90cb945544747b8308cf5ade961b6ff86c8
| 30,162
|
py
|
Python
|
tests/test_api.py
|
jairhenrique/todoist-python
|
755b9bd8a4fdf4e96b2381613ac0c4bed99731e5
|
[
"MIT"
] | null | null | null |
tests/test_api.py
|
jairhenrique/todoist-python
|
755b9bd8a4fdf4e96b2381613ac0c4bed99731e5
|
[
"MIT"
] | null | null | null |
tests/test_api.py
|
jairhenrique/todoist-python
|
755b9bd8a4fdf4e96b2381613ac0c4bed99731e5
|
[
"MIT"
] | null | null | null |
import io
import time
import todoist
def test_stats_get(api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
response = api.completed.get_stats()
assert 'days_items' in response
assert 'week_items' in response
assert 'karma_trend' in response
assert 'karma_last_update' in response
def test_user_update(api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
date_format = api.state['user']['date_format']
date_format_new = 1 - date_format
api.user.update(date_format=date_format_new)
api.commit()
assert date_format_new == api.state['user']['date_format']
api.user.update_goals(vacation_mode=1)
api.commit()
api.user.update_goals(vacation_mode=0)
api.commit()
def test_user_settings_update(api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
reminder_email = api.state['user_settings']['reminder_email']
if reminder_email:
reminder_email = False
else:
reminder_email = True
api.user_settings.update(reminder_email=reminder_email)
api.commit()
assert reminder_email == api.state['user_settings']['reminder_email']
def test_project_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
response = api.commit()
assert response['projects'][0]['name'] == 'Project1'
assert 'Project1' in [p['name'] for p in api.state['projects']]
assert api.projects.get_by_id(project1['id']) == project1
project1.delete()
api.commit()
def test_project_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
project1.delete()
response = api.commit()
assert response['projects'][0]['id'] == project1['id']
assert response['projects'][0]['is_deleted'] == 1
assert 'Project1' not in [p['name'] for p in api.state['projects']]
def test_project_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
project1.update(name='UpdatedProject1')
response = api.commit()
assert response['projects'][0]['name'] == 'UpdatedProject1'
assert 'UpdatedProject1' in [p['name'] for p in api.state['projects']]
assert api.projects.get_by_id(project1['id']) == project1
project1.delete()
api.commit()
def test_project_archive(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
project1.archive()
response = api.commit()
assert response['projects'][0]['name'] == 'Project1'
assert response['projects'][0]['is_archived'] == 1
assert 'Project1' in [p['name'] for p in api.state['projects']]
assert 1 in [
p['is_archived'] for p in api.state['projects']
if p['id'] == project1['id']
]
project1.delete()
api.commit()
def test_project_unarchive(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
project1.archive()
api.commit()
project1.unarchive()
response = api.commit()
assert response['projects'][0]['name'] == 'Project1'
assert response['projects'][0]['is_archived'] == 0
assert 0 in [
p['is_archived'] for p in api.state['projects']
if p['id'] == project1['id']
]
project1.delete()
api.commit()
def test_project_move_to_parent(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
project2 = api.projects.add('Project2')
api.commit()
project2.move(project1['id'])
response = api.commit()
assert response['projects'][0]['name'] == 'Project2'
assert response['projects'][0]['parent_id'] == project1['id']
assert project1['id'] in [
i['parent_id'] for i in api.state['projects'] if i['id'] == project2['id']
]
project2.delete()
api.commit()
project1.delete()
api.commit()
def test_project_reorder(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
project2 = api.projects.add('Project2')
api.commit()
api.projects.reorder(projects=[
{'id': project1['id'], 'child_order': 2},
{'id': project2['id'], 'child_order': 1},
])
response = api.commit()
for project in response['projects']:
if project['id'] == project1['id']:
assert project['child_order'] == 2
if project['id'] == project2['id']:
assert project['child_order'] == 1
assert 2 in [
p['child_order'] for p in api.state['projects']
if p['id'] == project1['id']
]
assert 1 in [
p['child_order'] for p in api.state['projects']
if p['id'] == project2['id']
]
project1.delete()
api.commit()
project2.delete()
api.commit()
def test_item_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
response = api.add_item('Item1')
assert response['content'] == 'Item1'
api.sync()
assert 'Item1' in [i['content'] for i in api.state['items']]
item1 = [i for i in api.state['items'] if i['content'] == 'Item1'][0]
assert api.items.get_by_id(item1['id']) == item1
item1.delete()
api.commit()
def test_item_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.sync()
item1.delete()
response = api.commit()
assert response['items'][0]['id'] == item1['id']
assert response['items'][0]['is_deleted'] == 1
assert 'Item1' not in [i['content'] for i in api.state['items']]
def test_item_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item1.update(content='UpdatedItem1')
response = api.commit()
assert response['items'][0]['content'] == 'UpdatedItem1'
assert 'UpdatedItem1' in [i['content'] for i in api.state['items']]
assert api.items.get_by_id(item1['id']) == item1
item1.delete()
api.commit()
def test_item_complete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item2 = api.items.add('Item2', parent_id=item1['id'])
api.commit()
item2.complete()
response = api.commit()
assert response['items'][0]['content'] == 'Item2'
assert response['items'][0]['checked'] == 1
assert 1 in [
i['checked'] for i in api.state['items'] if i['id'] == item2['id']
]
item1.delete()
api.commit()
item2.delete()
api.commit()
def test_item_uncomplete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item2 = api.items.add('Item2', parent_id=item1['id'])
api.commit()
item2.complete()
api.commit()
item2.uncomplete()
response = api.commit()
assert response['items'][0]['content'] == 'Item2'
assert response['items'][0]['checked'] == 0
assert 0 in [
i['checked'] for i in api.state['items'] if i['id'] == item1['id']
]
item1.delete()
api.commit()
item2.delete()
api.commit()
def test_item_archive(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item2 = api.items.add('Item2', parent_id=item1['id'])
api.commit()
item2.complete()
api.commit()
item2.archive()
response = api.commit()
assert response['items'][0]['content'] == 'Item2'
assert response['items'][0]['in_history'] == 1
assert 1 in [
i['in_history'] for i in api.state['items'] if i['id'] == item2['id']
]
item1.delete()
api.commit()
item2.delete()
api.commit()
def test_item_unarchive(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item2 = api.items.add('Item2', parent_id=item1['id'])
api.commit()
item2.complete()
api.commit()
item2.archive()
api.commit()
item2.unarchive()
response = api.commit()
assert response['items'][0]['content'] == 'Item2'
assert response['items'][0]['in_history'] == 0
assert 0 in [
i['in_history'] for i in api.state['items'] if i['id'] == item2['id']
]
item1.delete()
api.commit()
item2.delete()
api.commit()
def test_item_move_to_project(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
project1 = api.projects.add('Project1')
api.commit()
item1.move(project_id=project1['id'])
response = api.commit()
assert response['items'][0]['content'] == 'Item1'
assert response['items'][0]['project_id'] == project1['id']
assert project1['id'] in [
i['project_id'] for i in api.state['items'] if i['id'] == item1['id']
]
item1.delete()
api.commit()
project1.delete()
api.commit()
def test_item_move_to_parent(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item2 = api.items.add('Item2')
api.commit()
item2.move(parent_id=item1['id'])
response = api.commit()
assert response['items'][0]['content'] == 'Item2'
assert response['items'][0]['parent_id'] == item1['id']
assert item1['id'] in [
i['parent_id'] for i in api.state['items'] if i['id'] == item2['id']
]
item1.delete()
api.commit()
item2.delete()
api.commit()
def test_item_update_date_complete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1', due={'string': 'every day'})
api.commit()
now = time.time()
tomorrow = time.gmtime(now + 24 * 3600)
new_date_utc = time.strftime("%Y-%m-%dT%H:%M:%SZ", tomorrow)
due = {
'date': new_date_utc,
'string': 'every day',
}
api.items.update_date_complete(item1['id'], due=due)
response = api.commit()
assert response['items'][0]['due']['string'] == 'every day'
assert 'every day' in [
i['due']['string'] for i in api.state['items'] if i['id'] == item1['id']
]
item1.delete()
api.commit()
def test_item_reorder(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item2 = api.items.add('Item2')
api.commit()
api.items.reorder(items=[
{'id': item1['id'], 'child_order': 2},
{'id': item2['id'], 'child_order': 1},
])
response = api.commit()
for item in response['items']:
if item['id'] == item1['id']:
assert item['child_order'] == 2
if item['id'] == item2['id']:
assert item['child_order'] == 1
assert 2 in [
p['child_order'] for p in api.state['items']
if p['id'] == item1['id']
]
assert 1 in [
p['child_order'] for p in api.state['items']
if p['id'] == item2['id']
]
item1.delete()
api.commit()
item2.delete()
api.commit()
def test_item_update_day_orders(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
item2 = api.items.add('Item2')
api.commit()
api.items.update_day_orders({item1['id']: 1, item2['id']: 2})
response = api.commit()
for item in response['items']:
if item['id'] == item1['id']:
assert item['day_order'] == 1
if item['id'] == item2['id']:
assert item['day_order'] == 2
assert 1 == api.state['day_orders'][str(item1['id'])]
assert 2 == api.state['day_orders'][str(item2['id'])]
item1.delete()
api.commit()
item2.delete()
api.commit()
def test_label_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
label1 = api.labels.add('Label1')
response = api.commit()
assert response['labels'][0]['name'] == 'Label1'
assert 'Label1' in [l['name'] for l in api.state['labels']]
assert api.labels.get_by_id(label1['id']) == label1
label1.delete()
api.commit()
def test_label_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
label1 = api.labels.add('Label1')
api.commit()
label1.delete()
response = api.commit()
assert response['labels'][0]['id'] == label1['id']
assert response['labels'][0]['is_deleted'] == 1
assert 'UpdatedLabel1' not in [l['name'] for l in api.state['labels']]
def test_label_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
label1 = api.labels.add('Label1')
api.commit()
label1.update(name='UpdatedLabel1')
response = api.commit()
assert response['labels'][0]['name'] == 'UpdatedLabel1'
assert 'UpdatedLabel1' in [l['name'] for l in api.state['labels']]
assert api.labels.get_by_id(label1['id']) == label1
label1.delete()
api.commit()
def test_label_update_orders(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
label1 = api.labels.add('Label1')
api.commit()
label2 = api.labels.add('Label2')
api.commit()
api.labels.update_orders({label1['id']: 1, label2['id']: 2})
response = api.commit()
for label in response['labels']:
if label['id'] == label1['id']:
assert label['item_order'] == 1
if label['id'] == label2['id']:
assert label['item_order'] == 2
assert 1 in [
l['item_order'] for l in api.state['labels'] if l['id'] == label1['id']
]
assert 2 in [
l['item_order'] for l in api.state['labels'] if l['id'] == label2['id']
]
label1.delete()
api.commit()
label2.delete()
api.commit()
def test_note_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
note1 = api.notes.add(item1['id'], 'Note1')
response = api.commit()
assert response['notes'][0]['content'] == 'Note1'
assert 'Note1' in [n['content'] for n in api.state['notes']]
assert api.notes.get_by_id(note1['id']) == note1
note1.delete()
api.commit()
item1.delete()
api.commit()
def test_note_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
note1 = api.notes.add(item1['id'], 'Note1')
api.commit()
note1.delete()
response = api.commit()
assert response['notes'][0]['id'] == note1['id']
assert response['notes'][0]['is_deleted'] == 1
assert 'UpdatedNote1' not in [n['content'] for n in api.state['notes']]
note1.delete()
api.commit()
item1.delete()
api.commit()
def test_note_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1')
api.commit()
note1 = api.notes.add(item1['id'], 'Note1')
api.commit()
note1.update(content='UpdatedNote1')
response = api.commit()
assert response['notes'][0]['content'] == 'UpdatedNote1'
assert 'UpdatedNote1' in [n['content'] for n in api.state['notes']]
assert api.notes.get_by_id(note1['id']) == note1
note1.delete()
api.commit()
item1.delete()
api.commit()
def test_projectnote_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
note1 = api.project_notes.add(project1['id'], 'Note1')
response = api.commit()
assert response['project_notes'][0]['content'] == 'Note1'
assert 'Note1' in [n['content'] for n in api.state['project_notes']]
assert api.project_notes.get_by_id(note1['id']) == note1
note1.delete()
api.commit()
project1.delete()
api.commit()
def test_projectnote_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
note1 = api.project_notes.add(project1['id'], 'Note1')
api.commit()
note1.delete()
response = api.commit()
assert response['project_notes'][0]['id'] == note1['id']
assert response['project_notes'][0]['is_deleted'] == 1
assert 'UpdatedNote1' not in [
n['content'] for n in api.state['project_notes']
]
project1.delete()
api.commit()
def test_projectnote_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
api.commit()
note1 = api.project_notes.add(project1['id'], 'Note1')
api.commit()
note1.update(content='UpdatedNote1')
response = api.commit()
assert response['project_notes'][0]['content'] == 'UpdatedNote1'
assert 'UpdatedNote1' in [n['content'] for n in api.state['project_notes']]
assert api.project_notes.get_by_id(note1['id']) == note1
note1.delete()
api.commit()
project1.delete()
api.commit()
def test_filter_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
filter1 = api.filters.add('Filter1', 'no due date')
response = api.commit()
assert response['filters'][0]['name'] == 'Filter1'
assert 'Filter1' in [f['name'] for f in api.state['filters']]
assert api.filters.get_by_id(filter1['id']) == filter1
filter1.delete()
api.commit()
def test_filter_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
filter1 = api.filters.add('Filter1', 'no due date')
api.commit()
filter1.delete()
response = api.commit()
assert response['filters'][0]['id'] == filter1['id']
assert response['filters'][0]['is_deleted'] == 1
assert 'Filter1' not in [p['name'] for p in api.state['filters']]
def test_filter_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
filter1 = api.filters.add('Filter1', 'no due date')
api.commit()
filter1.update(name='UpdatedFilter1')
response = api.commit()
assert response['filters'][0]['name'] == 'UpdatedFilter1'
assert 'UpdatedFilter1' in [f['name'] for f in api.state['filters']]
assert api.filters.get_by_id(filter1['id']) == filter1
filter1.delete()
api.commit()
def test_filter_update_orders(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
filter1 = api.filters.add('Filter1', 'no due date')
api.commit()
filter2 = api.filters.add('Filter2', 'today')
api.commit()
api.filters.update_orders({filter1['id']: 2, filter2['id']: 1})
response = api.commit()
for filter in response['filters']:
if filter['id'] == filter1['id']:
assert filter['item_order'] == 2
if filter['id'] == filter2['id']:
assert filter['item_order'] == 1
assert 2 in [
f['item_order'] for f in api.state['filters']
if f['id'] == filter1['id']
]
assert 1 in [
f['item_order'] for f in api.state['filters']
if f['id'] == filter2['id']
]
filter1.delete()
api.commit()
filter2.delete()
api.commit()
def test_reminder_relative_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1', due={'string': 'tomorrow 5pm'})
api.commit()
reminder1 = api.reminders.add(item1['id'], minute_offset=30)
response = api.commit()
assert response['reminders'][0]['minute_offset'] == 30
assert reminder1['id'] in [p['id'] for p in api.state['reminders']]
assert api.reminders.get_by_id(reminder1['id']) == reminder1
reminder1.delete()
api.commit()
item1.delete()
api.commit()
def test_reminder_relative_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1', due={'string': 'tomorrow 5pm'})
api.commit()
reminder1 = api.reminders.add(item1['id'], minute_offset=30)
api.commit()
reminder1.delete()
response = api.commit()
assert response['reminders'][0]['is_deleted'] == 1
assert reminder1['id'] not in [p['id'] for p in api.state['reminders']]
item1.delete()
api.commit()
def test_reminder_relative_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1', due={'string': 'tomorrow 5pm'})
api.commit()
reminder1 = api.reminders.add(item1['id'], minute_offset=30)
api.commit()
reminder1.update(minute_offset=str(15))
response = api.commit()
assert response['reminders'][0]['minute_offset'] == 15
assert reminder1['id'] in [p['id'] for p in api.state['reminders']]
assert api.reminders.get_by_id(reminder1['id']) == reminder1
reminder1.delete()
api.commit()
item1.delete()
api.commit()
def test_reminder_absolute_add(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1', due={'string': 'tomorrow 5pm'})
api.commit()
now = time.time()
tomorrow = time.gmtime(now + 24 * 3600)
due_date_utc = time.strftime("%Y-%m-%dT%H:%M:%SZ", tomorrow)
reminder1 = api.reminders.add(item1['id'], due={'date': due_date_utc})
response = api.commit()
assert response['reminders'][0]['due']['date'] == due_date_utc
tomorrow = time.gmtime(time.time() + 24 * 3600)
assert reminder1['id'] in [p['id'] for p in api.state['reminders']]
assert api.reminders.get_by_id(reminder1['id']) == reminder1
reminder1.delete()
api.commit()
item1.delete()
api.commit()
def test_reminder_absolute_delete(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1', due={'string': 'tomorrow 5pm'})
api.commit()
now = time.time()
tomorrow = time.gmtime(now + 24 * 3600)
due_date_utc = time.strftime("%Y-%m-%dT%H:%M:%SZ", tomorrow)
reminder1 = api.reminders.add(item1['id'], due={'date': due_date_utc})
api.commit()
api.reminders.delete(reminder1['id'])
response = api.commit()
assert response['reminders'][0]['is_deleted'] == 1
assert reminder1['id'] not in [p['id'] for p in api.state['reminders']]
item1.delete()
response = api.commit()
def test_reminder_absolute_update(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
item1 = api.items.add('Item1', due={'string': 'tomorrow 5pm'})
api.commit()
now = time.time()
tomorrow = time.gmtime(now + 24 * 3600)
due_date_utc = time.strftime("%Y-%m-%dT%H:%M:%SZ", tomorrow)
reminder1 = api.reminders.add(item1['id'], due={'date': due_date_utc})
api.commit()
tomorrow = time.gmtime(now + 24 * 3600 + 60)
due_date_utc = time.strftime("%Y-%m-%dT%H:%M:%SZ", tomorrow)
api.reminders.update(reminder1['id'], due_date_utc=due_date_utc)
response = api.commit()
assert response['reminders'][0]['due']['date'] == due_date_utc
assert reminder1['id'] in [p['id'] for p in api.state['reminders']]
assert api.reminders.get_by_id(reminder1['id']) == reminder1
reminder1.delete()
api.commit()
item1.delete()
api.commit()
def test_locations(api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
api.locations.clear()
api.commit()
assert api.state['locations'] == []
def test_live_notifications(api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
api.live_notifications.set_last_read(
api.state['live_notifications_last_read_id'])
response = api.commit()
assert response['live_notifications_last_read_id'] == \
api.state['live_notifications_last_read_id']
def test_share_accept(cleanup, cleanup2, api_endpoint, api_token, api_token2):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api2 = todoist.api.TodoistAPI(api_token2, api_endpoint)
api.user.update(auto_invite_disabled=1)
api.commit()
api.sync()
api2.user.update(auto_invite_disabled=1)
api2.commit()
api2.sync()
project1 = api.projects.add('Project1')
api.commit()
api.projects.share(project1['id'], api2.state['user']['email'])
response = api.commit()
assert response['projects'][0]['name'] == project1['name']
assert response['projects'][0]['shared']
response2 = api2.sync()
invitation1 = next((ln for ln in response2['live_notifications']
if ln['notification_type'] == 'share_invitation_sent'),
None)
assert invitation1 is not None
assert invitation1['project_name'] == project1['name']
assert invitation1['from_user']['email'] == api.state['user']['email']
api2.invitations.accept(invitation1['id'],
invitation1['invitation_secret'])
response2 = api2.commit()
assert api2.state['user']['id'] in \
[p['user_id'] for p in api2.state['collaborator_states']]
api.sync()
project1 = [p for p in api.state['projects'] if p['name'] == 'Project1'][0]
project1.delete()
api.commit()
def test_share_reject(cleanup, cleanup2, api_endpoint, api_token, api_token2):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api2 = todoist.api.TodoistAPI(api_token2, api_endpoint)
api.user.update(auto_invite_disabled=1)
api.commit()
api.sync()
api2.user.update(auto_invite_disabled=1)
api2.commit()
api2.sync()
project1 = api.projects.add('Project1')
api.commit()
api.projects.share(project1['id'], api2.state['user']['email'])
response = api.commit()
assert response['projects'][0]['name'] == project1['name']
assert response['projects'][0]['shared']
response2 = api2.sync()
invitation2 = next((ln for ln in response2['live_notifications']
if ln['notification_type'] == 'share_invitation_sent'),
None)
assert invitation2 is not None
assert invitation2['project_name'] == project1['name']
assert invitation2['from_user']['email'] == api.state['user']['email']
api2.invitations.reject(invitation2['id'],
invitation2['invitation_secret'])
response2 = api2.commit()
assert len(response2['projects']) == 0
assert len(response2['collaborator_states']) == 0
project1 = [p for p in api.state['projects'] if p['name'] == 'Project1'][0]
project1.delete()
api.commit()
def test_share_delete(cleanup, cleanup2, api_endpoint, api_token, api_token2):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api2 = todoist.api.TodoistAPI(api_token2, api_endpoint)
api.user.update(auto_invite_disabled=1)
api.commit()
api.sync()
api2.user.update(auto_invite_disabled=1)
api2.commit()
api2.sync()
project1 = api.projects.add('Project1')
api.commit()
api.projects.share(project1['id'], api2.state['user']['email'])
response = api.commit()
assert response['projects'][0]['name'] == project1['name']
assert response['projects'][0]['shared']
response2 = api2.sync()
invitation3 = next((ln for ln in response2['live_notifications']
if ln['notification_type'] == 'share_invitation_sent'),
None)
assert invitation3 is not None
assert invitation3['project_name'] == project1['name']
assert invitation3['from_user']['email'] == api.state['user']['email']
api.invitations.delete(invitation3['id'])
api.commit()
project1 = [p for p in api.state['projects'] if p['name'] == 'Project1'][0]
project1.delete()
api.commit()
def test_templates(cleanup, api_endpoint, api_token):
api = todoist.api.TodoistAPI(api_token, api_endpoint)
api.sync()
project1 = api.projects.add('Project1')
project2 = api.projects.add('Project2')
api.commit()
item1 = api.items.add('Item1', project_id=project1['id'])
api.commit()
template = api.templates.export_as_file(project1['id'])
assert 'task,Item1,4,1' in template
with io.open('/tmp/example.csv', 'w', encoding='utf-8') as example:
example.write(template)
result = api.templates.import_into_project(project1['id'],
'/tmp/example.csv')
assert result == {'status': u'ok'}
item1.delete()
api.commit()
project1.delete()
api.commit()
project2.delete()
api.commit()
| 29.1139
| 82
| 0.636264
| 3,974
| 30,162
| 4.694011
| 0.045546
| 0.085397
| 0.05661
| 0.062882
| 0.850166
| 0.814195
| 0.794521
| 0.762517
| 0.723652
| 0.694757
| 0
| 0.026388
| 0.198395
| 30,162
| 1,035
| 83
| 29.142029
| 0.74514
| 0
| 0
| 0.682278
| 0
| 0
| 0.123898
| 0.005172
| 0
| 0
| 0
| 0
| 0.187342
| 1
| 0.060759
| false
| 0
| 0.005063
| 0
| 0.065823
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
dbdc207882fb6307d686a3c2b77b753e65cc1495
| 114
|
py
|
Python
|
panoramisk/__init__.py
|
Eyepea/panoramisk
|
c10725e358f5b802faa9df1d22de6710927735a0
|
[
"MIT"
] | null | null | null |
panoramisk/__init__.py
|
Eyepea/panoramisk
|
c10725e358f5b802faa9df1d22de6710927735a0
|
[
"MIT"
] | null | null | null |
panoramisk/__init__.py
|
Eyepea/panoramisk
|
c10725e358f5b802faa9df1d22de6710927735a0
|
[
"MIT"
] | null | null | null |
from .manager import Manager # NOQA
from .call_manager import CallManager # NOQA
from . import fast_agi # NOQA
| 28.5
| 45
| 0.763158
| 16
| 114
| 5.3125
| 0.5
| 0.305882
| 0
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| 0
| 0
| 0.184211
| 114
| 3
| 46
| 38
| 0.913978
| 0.122807
| 0
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| 0
| 0
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| 1
| 0
| true
| 0
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| 0
| null | 1
| 0
| 0
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| 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
| 6
|
916c668852524852bcc137172db7eabf2b12d323
| 25
|
py
|
Python
|
gdb/util.py
|
dennereed/paleocore
|
d6da6c39cde96050ee4b9e7213ec1200530cbeee
|
[
"MIT"
] | 1
|
2021-02-05T19:50:13.000Z
|
2021-02-05T19:50:13.000Z
|
gdb/util.py
|
dennereed/paleocore
|
d6da6c39cde96050ee4b9e7213ec1200530cbeee
|
[
"MIT"
] | 59
|
2020-06-17T22:21:51.000Z
|
2022-02-10T05:00:01.000Z
|
gdb/util.py
|
dennereed/paleocore
|
d6da6c39cde96050ee4b9e7213ec1200530cbeee
|
[
"MIT"
] | 2
|
2020-07-01T14:11:09.000Z
|
2020-08-10T17:27:26.000Z
|
from gdb.models import *
| 12.5
| 24
| 0.76
| 4
| 25
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 1
| 25
| 25
| 0.904762
| 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
| 1
| 0
|
0
| 6
|
91a50c39cf3d401ee6a7a290edb9d36a330b0540
| 42
|
py
|
Python
|
pytaboola/__init__.py
|
Openmail/pytaboola
|
ed71b3b9c5fb2e4452d4b6d40aec1ff037dd5436
|
[
"MIT"
] | null | null | null |
pytaboola/__init__.py
|
Openmail/pytaboola
|
ed71b3b9c5fb2e4452d4b6d40aec1ff037dd5436
|
[
"MIT"
] | 2
|
2020-04-27T23:41:57.000Z
|
2020-07-30T20:48:59.000Z
|
pytaboola/__init__.py
|
Openmail/pytaboola
|
ed71b3b9c5fb2e4452d4b6d40aec1ff037dd5436
|
[
"MIT"
] | null | null | null |
from pytaboola.client import TaboolaClient
| 42
| 42
| 0.904762
| 5
| 42
| 7.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 42
| 1
| 42
| 42
| 0.974359
| 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
| 1
| 0
|
0
| 6
|
91b7d7d61842cf27c4aaa82c80b40afa5304b3b0
| 27
|
py
|
Python
|
transforms/__init__.py
|
yangyuke001/emotion-expression.shufflenetv2
|
d70fd17871fb758eb4fc7d2f9df430cc7e44ad64
|
[
"Apache-2.0"
] | 3
|
2019-11-29T01:29:58.000Z
|
2020-09-16T12:48:49.000Z
|
transforms/__init__.py
|
yangyuke001/emotion-expression.shufflenetv2
|
d70fd17871fb758eb4fc7d2f9df430cc7e44ad64
|
[
"Apache-2.0"
] | null | null | null |
transforms/__init__.py
|
yangyuke001/emotion-expression.shufflenetv2
|
d70fd17871fb758eb4fc7d2f9df430cc7e44ad64
|
[
"Apache-2.0"
] | null | null | null |
from .transforms import *
| 9
| 25
| 0.740741
| 3
| 27
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185185
| 27
| 2
| 26
| 13.5
| 0.909091
| 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
| 1
| 0
|
0
| 6
|
91c15e0720d4970bd1fb3bf3b4458b92fb250bec
| 3,236
|
py
|
Python
|
qiskit/circuit/library/templates/__init__.py
|
ajavadia/qiskit-sdk-py
|
a59e8e6be1793197e19998c1f7dcfc45e6f2f3af
|
[
"Apache-2.0"
] | 15
|
2020-06-29T08:33:39.000Z
|
2022-02-12T00:28:51.000Z
|
qiskit/circuit/library/templates/__init__.py
|
ajavadia/qiskit-sdk-py
|
a59e8e6be1793197e19998c1f7dcfc45e6f2f3af
|
[
"Apache-2.0"
] | 6
|
2021-01-17T17:56:08.000Z
|
2021-04-01T12:40:21.000Z
|
qiskit/circuit/library/templates/__init__.py
|
ajavadia/qiskit-sdk-py
|
a59e8e6be1793197e19998c1f7dcfc45e6f2f3af
|
[
"Apache-2.0"
] | 11
|
2020-06-29T08:40:24.000Z
|
2022-02-24T17:39:16.000Z
|
# This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
"""
A library of template circuits.
Templates are circuits that compute the identity. They find use
in circuit optimization where matching part of the template allows the compiler
to replace the match with the inverse of the remainder from the template.
"""
from .nct.template_nct_2a_1 import template_nct_2a_1
from .nct.template_nct_2a_2 import template_nct_2a_2
from .nct.template_nct_2a_3 import template_nct_2a_3
from .nct.template_nct_4a_1 import template_nct_4a_1
from .nct.template_nct_4a_2 import template_nct_4a_2
from .nct.template_nct_4a_3 import template_nct_4a_3
from .nct.template_nct_4b_1 import template_nct_4b_1
from .nct.template_nct_4b_2 import template_nct_4b_2
from .nct.template_nct_5a_1 import template_nct_5a_1
from .nct.template_nct_5a_2 import template_nct_5a_2
from .nct.template_nct_5a_3 import template_nct_5a_3
from .nct.template_nct_5a_4 import template_nct_5a_4
from .nct.template_nct_6a_1 import template_nct_6a_1
from .nct.template_nct_6a_2 import template_nct_6a_2
from .nct.template_nct_6a_3 import template_nct_6a_3
from .nct.template_nct_6a_4 import template_nct_6a_4
from .nct.template_nct_6b_1 import template_nct_6b_1
from .nct.template_nct_6b_2 import template_nct_6b_2
from .nct.template_nct_6c_1 import template_nct_6c_1
from .nct.template_nct_7a_1 import template_nct_7a_1
from .nct.template_nct_7b_1 import template_nct_7b_1
from .nct.template_nct_7c_1 import template_nct_7c_1
from .nct.template_nct_7d_1 import template_nct_7d_1
from .nct.template_nct_7e_1 import template_nct_7e_1
from .nct.template_nct_9a_1 import template_nct_9a_1
from .nct.template_nct_9c_1 import template_nct_9c_1
from .nct.template_nct_9c_2 import template_nct_9c_2
from .nct.template_nct_9c_3 import template_nct_9c_3
from .nct.template_nct_9c_4 import template_nct_9c_4
from .nct.template_nct_9c_5 import template_nct_9c_5
from .nct.template_nct_9c_6 import template_nct_9c_6
from .nct.template_nct_9c_7 import template_nct_9c_7
from .nct.template_nct_9c_8 import template_nct_9c_8
from .nct.template_nct_9c_9 import template_nct_9c_9
from .nct.template_nct_9c_10 import template_nct_9c_10
from .nct.template_nct_9c_11 import template_nct_9c_11
from .nct.template_nct_9c_12 import template_nct_9c_12
from .nct.template_nct_9d_1 import template_nct_9d_1
from .nct.template_nct_9d_2 import template_nct_9d_2
from .nct.template_nct_9d_3 import template_nct_9d_3
from .nct.template_nct_9d_4 import template_nct_9d_4
from .nct.template_nct_9d_5 import template_nct_9d_5
from .nct.template_nct_9d_6 import template_nct_9d_6
from .nct.template_nct_9d_7 import template_nct_9d_7
from .nct.template_nct_9d_8 import template_nct_9d_8
from .nct.template_nct_9d_9 import template_nct_9d_9
from .nct.template_nct_9d_10 import template_nct_9d_10
| 48.298507
| 79
| 0.860939
| 639
| 3,236
| 3.918623
| 0.164319
| 0.412939
| 0.28155
| 0.337859
| 0.386981
| 0.033546
| 0
| 0
| 0
| 0
| 0
| 0.069863
| 0.097651
| 3,236
| 66
| 80
| 49.030303
| 0.787671
| 0.218171
| 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
| 1
| 0
|
0
| 6
|
91e6679035e0b02c68e5fa8e7ebbce0f267caee0
| 13,748
|
py
|
Python
|
tests/communities/test_reply.py
|
powerblossom/workcloud
|
fd943220366ebeadfa90c59fc395f84a734b5686
|
[
"MIT"
] | 1
|
2019-10-18T05:57:13.000Z
|
2019-10-18T05:57:13.000Z
|
tests/communities/test_reply.py
|
powerblossom/workcloud
|
fd943220366ebeadfa90c59fc395f84a734b5686
|
[
"MIT"
] | 11
|
2019-12-02T13:59:22.000Z
|
2021-04-24T08:52:19.000Z
|
tests/communities/test_reply.py
|
powerblossom/workcloud
|
fd943220366ebeadfa90c59fc395f84a734b5686
|
[
"MIT"
] | null | null | null |
from core.response import Response
from communities.tests import TestCase
class ReplyPermissionTest(TestCase):
def setUp(self):
self.create_user(is_staff=True)
def test_permission_reply_all(self):
self.create_forum()
self.create_thread()
thread_id = self.thread.id
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'name': 'tester',
'content': 'test'
}
)
assert (
response.status_code == Response.HTTP_201 and
self.data.get('thread').get('id') == thread_id and
self.data.get('reply_id') == 0 and
not self.data.get('user') and
self.data.get('name') == 'tester' and
self.data.get('content') == 'test' and
not self.data.get('is_deleted')
)
reply_id = self.data.get('id')
response = self.get(
'/api/communities/f/%d/replies/' % thread_id
)
assert (
response.status_code == Response.HTTP_200 and
len(self.data) == 1 and
self.data[0].get('name') == 'tester' and
self.data[0].get('content') == 'test'
)
response = self.patch(
'/api/communities/r/%d/' % reply_id,
{
'content': 'edit'
},
)
assert response.status_code == Response.HTTP_401
response = self.delete(
'/api/communities/r/%d/' % reply_id
)
assert response.status_code == Response.HTTP_401
response = self.patch(
'/api/communities/r/%d/' % reply_id,
{
'content': 'edit',
},
auth=True
)
assert response.status_code == Response.HTTP_200
response = self.delete(
'/api/communities/r/%d/' % reply_id,
auth=True
)
assert response.status_code == Response.HTTP_200
self.create_user(username='[email protected]')
response = self.patch(
'/api/communities/r/%d/' % reply_id,
{
'content': 'edit',
},
auth=True
)
assert response.status_code == Response.HTTP_404
response = self.delete(
'/api/communities/r/%d/' % reply_id,
auth=True
)
assert response.status_code == Response.HTTP_404
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'name': 'tester',
'content': 'test'
},
auth=True
)
assert (
response.status_code == Response.HTTP_201 and
self.data.get('thread').get('id') == thread_id and
self.data.get('reply_id') == 0 and
self.data.get('user').get('id') == self.user.id and
self.data.get('content') == 'test' and
not self.data.get('is_deleted')
)
response = self.get(
'/api/communities/f/%d/replies/' % thread_id
)
assert (
response.status_code == Response.HTTP_200 and
len(self.data) == 2
)
def test_permission_reply_member(self):
option = self.create_option(
permission_reply='member'
)
self.create_forum(option=option)
self.create_thread()
thread_id = self.thread.id
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'name': 'tester',
'content': 'test'
}
)
assert response.status_code == Response.HTTP_401
response = self.get(
'/api/communities/f/%d/replies/' % thread_id
)
assert response.status_code == Response.HTTP_200
self.create_user(username='[email protected]')
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'content': 'test'
},
auth=True
)
reply_id = self.data.get('id')
assert (
response.status_code == Response.HTTP_201 and
self.data.get('content') == 'test' and
self.data.get('user').get('username') == self.user.username
)
response = self.patch(
'/api/communities/r/%d/' % reply_id,
{
'content': 'edit',
},
auth=True
)
assert (
response.status_code == Response.HTTP_200 and
self.data.get('content') == 'edit'
)
response = self.delete(
'/api/communities/r/%d/' % reply_id,
auth=True
)
assert response.status_code == Response.HTTP_200
def test_permission_reply_staff(self):
option = self.create_option(
permission_reply='staff'
)
self.create_forum(option=option)
self.create_thread()
thread_id = self.thread.id
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'name': 'tester',
'content': 'test'
}
)
assert response.status_code == Response.HTTP_401
response = self.get(
'/api/communities/f/%d/replies/' % thread_id
)
assert response.status_code == Response.HTTP_200
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'content': 'test'
},
auth=True
)
assert response.status_code == Response.HTTP_201
reply_id = self.data.get('id')
response = self.patch(
'/api/communities/r/%d/' % reply_id,
{
'content': 'edit',
},
auth=True
)
assert (
response.status_code == Response.HTTP_200 and
self.data.get('content') == 'edit'
)
response = self.delete(
'/api/communities/r/%d/' % reply_id,
auth=True
)
assert response.status_code == Response.HTTP_200
self.create_user(username='[email protected]')
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'content': 'test'
},
auth=True
)
assert response.status_code == Response.HTTP_403
response = self.patch(
'/api/communities/r/%d/' % reply_id,
{
'content': 'edit',
},
auth=True
)
assert response.status_code == Response.HTTP_404
response = self.delete(
'/api/communities/r/%d/' % reply_id,
auth=True
)
assert response.status_code == Response.HTTP_404
def test_permission_thread_read_member(self):
option = self.create_option(
permission_read='member',
permission_reply='member'
)
self.create_forum(option=option)
self.create_thread()
thread_id = self.thread.id
response = self.get(
'/api/communities/f/%d/replies/' % thread_id
)
assert response.status_code == Response.HTTP_401
response = self.get(
'/api/communities/f/%d/replies/' % thread_id,
auth=True
)
assert response.status_code == Response.HTTP_200
self.create_user(username='[email protected]')
response = self.get(
'/api/communities/f/%d/replies/' % thread_id,
auth=True
)
assert response.status_code == Response.HTTP_200
def test_permission_thread_read_staff(self):
option = self.create_option(
permission_read='staff',
permission_reply='staff'
)
self.create_forum(option=option)
self.create_thread()
thread_id = self.thread.id
response = self.get(
'/api/communities/f/%d/replies/' % thread_id
)
assert response.status_code == Response.HTTP_401
response = self.get(
'/api/communities/f/%d/replies/' % thread_id,
auth=True
)
assert response.status_code == Response.HTTP_200
self.create_user(username='[email protected]')
response = self.get(
'/api/communities/f/%d/replies/' % thread_id,
auth=True
)
assert response.status_code == Response.HTTP_403
class ReplyModelTest(TestCase):
def setUp(self):
self.create_user(is_staff=True)
self.create_forum()
self.create_thread()
self.create_reply()
def test_nested_reply(self):
response = self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'content': 'test'
},
auth=True
)
assert (
response.status_code == Response.HTTP_201 and
self.data.get('reply_id') == 0
)
reply_id = self.data.get('id')
response = self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'reply_id': reply_id,
'content': 'test'
},
auth=True
)
assert (
response.status_code == Response.HTTP_201 and
self.data.get('reply_id') == reply_id
)
response = self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'reply_id': self.data.get('id'),
'content': 'test'
},
auth=True
)
assert (
response.status_code == Response.HTTP_201 and
self.data.get('reply_id') == reply_id
)
def test_reply_edit_delete(self):
response = self.patch(
'/api/communities/r/%d/' % self.reply.id,
{
'content': 'bow wow'
},
auth=True
)
assert (
response.status_code == Response.HTTP_200 and
self.data.get('content') == 'bow wow' and
self.data.get('reply_id') == 0 and
not self.data.get('name')
)
response = self.patch(
'/api/communities/r/%d/' % self.reply.id,
{
'reply_id': self.reply.id,
'name': 'dog',
'content': 'meow'
},
auth=True
)
assert (
response.status_code == Response.HTTP_200 and
self.data.get('content') == 'meow' and
self.data.get('reply_id') == 0 and
not self.data.get('name')
)
response = self.delete(
'/api/communities/r/%d/' % self.reply.id,
auth=True
)
assert response.status_code == Response.HTTP_200
self.get(
'/api/communities/f/%d/replies/' % self.thread.id,
auth=True
)
assert (
len(self.data) == 1 and
self.data[0].get('is_deleted')
)
def test_reply_to_invalid_id(self):
thread_id = int(self.thread.id) + 1
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'content': 'test'
},
auth=True
)
assert response.status_code == Response.HTTP_404
reply_id = int(self.reply.id) + 1
response = self.post(
'/api/communities/f/%d/reply/' % thread_id,
{
'reply_id': reply_id,
'content': 'test'
},
auth=True
)
assert response.status_code == Response.HTTP_404
class ReplyListTest(TestCase):
def setUp(self):
self.create_user(is_staff=True)
self.create_forum()
self.create_thread()
def test_reply_list(self):
self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'content': '1'
},
auth=True
)
reply_id = self.data.get('id')
self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'content': '4'
},
auth=True
)
self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'reply_id': reply_id,
'content': '2'
},
auth=True
)
nested_reply_id = self.data.get('id')
self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'content': '5'
},
auth=True
)
self.post(
'/api/communities/f/%d/reply/' % self.thread.id,
{
'reply_id': nested_reply_id,
'content': '3'
},
auth=True
)
self.get(
'/api/communities/f/%d/replies/' % self.thread.id,
auth=True
)
assert (
len(self.data) == 5 and
self.data[0].get('content') == '1' and
self.data[0].get('reply_id') == 0 and
self.data[1].get('content') == '2' and
self.data[1].get('reply_id') == reply_id and
self.data[2].get('content') == '3' and
self.data[2].get('reply_id') == reply_id and
self.data[3].get('content') == '4' and
self.data[3].get('reply_id') == 0 and
self.data[4].get('content') == '5' and
self.data[4].get('reply_id') == 0
)
| 28.404959
| 71
| 0.485598
| 1,432
| 13,748
| 4.511872
| 0.052374
| 0.054171
| 0.114533
| 0.13744
| 0.914564
| 0.898158
| 0.877418
| 0.839189
| 0.817521
| 0.799567
| 0
| 0.018122
| 0.385874
| 13,748
| 483
| 72
| 28.463768
| 0.747128
| 0
| 0
| 0.603774
| 0
| 0
| 0.140311
| 0.084812
| 0
| 0
| 0
| 0
| 0.091981
| 1
| 0.028302
| false
| 0
| 0.004717
| 0
| 0.040094
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
91e8cdd7e37d12c63565c41b5269a325281584b2
| 36
|
py
|
Python
|
src/phl_budget_data/etl/qcmr/positions/__init__.py
|
PhiladelphiaController/phl-budget-data
|
438999017b8659de5bfb223a038f49fe6fd4a83a
|
[
"MIT"
] | null | null | null |
src/phl_budget_data/etl/qcmr/positions/__init__.py
|
PhiladelphiaController/phl-budget-data
|
438999017b8659de5bfb223a038f49fe6fd4a83a
|
[
"MIT"
] | null | null | null |
src/phl_budget_data/etl/qcmr/positions/__init__.py
|
PhiladelphiaController/phl-budget-data
|
438999017b8659de5bfb223a038f49fe6fd4a83a
|
[
"MIT"
] | null | null | null |
from .core import FullTimePositions
| 18
| 35
| 0.861111
| 4
| 36
| 7.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 36
| 1
| 36
| 36
| 0.96875
| 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
| 1
| 0
|
0
| 6
|
91eee874c4335dfd997cd3ef3e9c2d23c76e47b1
| 26
|
py
|
Python
|
cloudcms/branch/__init__.py
|
gitana/cloudcms-python-driver
|
8685c634880c1a6af6f359f1a25de42dcf49f319
|
[
"Apache-2.0"
] | null | null | null |
cloudcms/branch/__init__.py
|
gitana/cloudcms-python-driver
|
8685c634880c1a6af6f359f1a25de42dcf49f319
|
[
"Apache-2.0"
] | null | null | null |
cloudcms/branch/__init__.py
|
gitana/cloudcms-python-driver
|
8685c634880c1a6af6f359f1a25de42dcf49f319
|
[
"Apache-2.0"
] | null | null | null |
from .branch import Branch
| 26
| 26
| 0.846154
| 4
| 26
| 5.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 26
| 1
| 26
| 26
| 0.956522
| 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
| 1
| 0
|
0
| 6
|
91ef6e454e8d3a02bbbb8495426f9e53729bb9c8
| 30
|
py
|
Python
|
test2/test2.py
|
kubatom/my_nemtiko_repo
|
842a303ae120d871623c267ea76c2353d70b2fce
|
[
"Apache-2.0"
] | null | null | null |
test2/test2.py
|
kubatom/my_nemtiko_repo
|
842a303ae120d871623c267ea76c2353d70b2fce
|
[
"Apache-2.0"
] | null | null | null |
test2/test2.py
|
kubatom/my_nemtiko_repo
|
842a303ae120d871623c267ea76c2353d70b2fce
|
[
"Apache-2.0"
] | null | null | null |
print('this is a test2 file')
| 15
| 29
| 0.7
| 6
| 30
| 3.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.166667
| 30
| 1
| 30
| 30
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0.666667
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
530d6b117d510322f8ed51ead9a1be94d7c692f1
| 2,388
|
py
|
Python
|
connectomics/model/block/squeeze_excitation.py
|
yixinliao/pytorch_connectomics
|
0f6de546e6da1e0f3258b2c84f7e16b3a993c70c
|
[
"MIT"
] | 1
|
2020-05-17T08:01:56.000Z
|
2020-05-17T08:01:56.000Z
|
connectomics/model/block/squeeze_excitation.py
|
yixinliao/pytorch_connectomics
|
0f6de546e6da1e0f3258b2c84f7e16b3a993c70c
|
[
"MIT"
] | null | null | null |
connectomics/model/block/squeeze_excitation.py
|
yixinliao/pytorch_connectomics
|
0f6de546e6da1e0f3258b2c84f7e16b3a993c70c
|
[
"MIT"
] | 3
|
2020-03-31T21:40:12.000Z
|
2021-06-09T02:26:43.000Z
|
import torch.nn as nn
from .basic import *
class squeeze_excitation_2d(nn.Module):
"""Squeeze-and-Excitation Block 2D
Args:
channel (int): number of input channels.
channel_reduction (int): channel squeezing factor.
spatial_reduction (int): pooling factor for x,y axes.
"""
def __init__(self, channel, channel_reduction=4, spatial_reduction=4, norm_mode='bn', act_mode='elu'):
super(squeeze_excitation_2d, self).__init__()
self.pool_size = (spatial_reduction, spatial_reduction)
layers = [nn.AvgPool2d(kernel_size=self.pool_size, stride=self.pool_size)]
layers += conv2d_norm_act(channel, channel // channel_reduction, kernel_size=1, padding=0, norm_mode=norm_mode, act_mode=act_mode, return_list=True)
layers += conv2d_norm_act(channel // channel_reduction, channel, kernel_size=1, padding=0, norm_mode=norm_mode, return_list=True)
layers = [nn.Sigmoid(),
nn.Upsample(scale_factor=self.pool_size, mode='trilinear', align_corners=False)]
self.se = nn.Sequential(*layers)
def forward(self, x):
y = self.se(x)
z = x + y*x
return z
class squeeze_excitation_3d(nn.Module):
"""Squeeze-and-Excitation Block 3D
Args:
channel (int): number of input channels.
channel_reduction (int): channel squeezing factor.
spatial_reduction (int): pooling factor for x,y axes.
z_reduction (int): pooling factor for z axis.
"""
def __init__(self, channel, channel_reduction=4, spatial_reduction=4, z_reduction=1, norm_mode='bn', act_mode='elu'):
super(squeeze_excitation_3d, self).__init__()
self.pool_size = (z_reduction, spatial_reduction, spatial_reduction)
layers = [nn.AvgPool3d(kernel_size=self.pool_size, stride=self.pool_size)]
layers += conv3d_norm_act(channel, channel//channel_reduction, kernel_size=1, padding=0, norm_mode=norm_mode, act_mode=act_mode, return_list=True)
layers += conv3d_norm_act(channel//channel_reduction, channel, kernel_size=1, padding=0, norm_mode=norm_mode, return_list=True)
layers += [nn.Sigmoid(),
nn.Upsample(scale_factor=self.pool_size, mode='trilinear', align_corners=False)]
self.se = nn.Sequential(*layers)
def forward(self, x):
y = self.se(x)
z = x + y*x
return z
| 46.823529
| 156
| 0.68258
| 325
| 2,388
| 4.741538
| 0.206154
| 0.051914
| 0.062297
| 0.05451
| 0.913692
| 0.869565
| 0.759247
| 0.759247
| 0.759247
| 0.704737
| 0
| 0.013137
| 0.203099
| 2,388
| 50
| 157
| 47.76
| 0.796637
| 0.185511
| 0
| 0.4
| 0
| 0
| 0.014831
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.133333
| false
| 0
| 0.066667
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
5349c9c6e7fa65e3aff751e7538d0e98f7e22725
| 32
|
py
|
Python
|
FlaskApp/__init__.py
|
robertavram/project5
|
12a2816b84be994b561f2f693cf34c0fa4f0ca19
|
[
"Apache-2.0"
] | 7
|
2015-09-20T22:11:01.000Z
|
2021-11-09T18:04:47.000Z
|
FlaskApp/__init__.py
|
robertavram/project5
|
12a2816b84be994b561f2f693cf34c0fa4f0ca19
|
[
"Apache-2.0"
] | 9
|
2020-03-24T15:24:59.000Z
|
2022-03-11T23:13:00.000Z
|
FlaskApp/__init__.py
|
robertavram/project5
|
12a2816b84be994b561f2f693cf34c0fa4f0ca19
|
[
"Apache-2.0"
] | 2
|
2016-03-06T00:30:54.000Z
|
2017-04-06T10:15:06.000Z
|
# application
import application
| 16
| 18
| 0.875
| 3
| 32
| 9.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 32
| 2
| 18
| 16
| 0.965517
| 0.34375
| 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
| 1
| 0
|
0
| 6
|
53548465e12a42f5d8a5f01db8be119e8fba5d7d
| 24,159
|
py
|
Python
|
server/apps/datablock/tests/test_create_worker.py
|
iotile/iotile_cloud
|
9dc65ac86d3a730bba42108ed7d9bbb963d22ba6
|
[
"MIT"
] | null | null | null |
server/apps/datablock/tests/test_create_worker.py
|
iotile/iotile_cloud
|
9dc65ac86d3a730bba42108ed7d9bbb963d22ba6
|
[
"MIT"
] | null | null | null |
server/apps/datablock/tests/test_create_worker.py
|
iotile/iotile_cloud
|
9dc65ac86d3a730bba42108ed7d9bbb963d22ba6
|
[
"MIT"
] | null | null | null |
import datetime
import json
import dateutil.parser
from django.contrib.auth import get_user_model
from django.test import Client, TestCase
from django.utils import timezone
from apps.devicelocation.models import DeviceLocation
from apps.physicaldevice.models import Device
from apps.property.models import GenericProperty
from apps.report.models import GeneratedUserReport
from apps.sqsworker.exceptions import WorkerActionHardError
from apps.stream.models import StreamId, StreamVariable
from apps.streamdata.models import StreamData
from apps.streamevent.models import StreamEventData
from apps.streamfilter.models import *
from apps.streamnote.models import StreamNote
from apps.utils.data_mask.mask_utils import get_data_mask_event, set_data_mask
from apps.utils.gid.convert import *
from apps.utils.test_util import TestMixin
from ..models import *
from ..worker.archive_device_data import ArchiveDeviceDataAction
user_model = get_user_model()
class DataBlockCreateWorkerTests(TestMixin, TestCase):
def setUp(self):
self.usersTestSetup()
self.orgTestSetup()
self.deviceTemplateTestSetup()
self.v1 = StreamVariable.objects.create_variable(
name='Var A', project=self.p1, created_by=self.u2, lid=1,
)
self.v2 = StreamVariable.objects.create_variable(
name='Var B', project=self.p1, created_by=self.u3, lid=2,
)
self.pd1 = Device.objects.create_device(project=self.p1, label='d1', template=self.dt1, created_by=self.u2)
self.pd2 = Device.objects.create_device(project=self.p1, label='d2', template=self.dt1, created_by=self.u2)
StreamId.objects.create_after_new_device(self.pd1)
StreamId.objects.create_after_new_device(self.pd2)
self.s1 = StreamId.objects.filter(variable=self.v1).first()
self.s2 = StreamId.objects.filter(variable=self.v2).first()
def tearDown(self):
StreamFilterAction.objects.all().delete()
StreamFilterTrigger.objects.all().delete()
StreamFilter.objects.all().delete()
StreamId.objects.all().delete()
StreamVariable.objects.all().delete()
GenericProperty.objects.all().delete()
Device.objects.all().delete()
StreamData.objects.all().delete()
StreamEventData.objects.all().delete()
self.deviceTemplateTestTearDown()
self.orgTestTearDown()
self.userTestTearDown()
def testDataBlockActionBadArguments(self):
with self.assertRaises(WorkerActionHardError):
ArchiveDeviceDataAction.schedule(args={})
with self.assertRaises(WorkerActionHardError):
ArchiveDeviceDataAction.schedule(args={'foobar': 5})
with self.assertRaises(WorkerActionHardError):
ArchiveDeviceDataAction.schedule(args={'data_block_slug': 'b--0000-0000-0000-0001', 'extra-bad-arg': 'foo'})
self.assertTrue(ArchiveDeviceDataAction._arguments_ok({'data_block_slug': 'b--0000-0000-0000-0001'}))
action = ArchiveDeviceDataAction()
self.assertIsNotNone(action)
with self.assertRaises(WorkerActionHardError):
action.execute(arguments={'foobar': 5})
def testDataBlockActionNoDataBlock(self):
action = ArchiveDeviceDataAction()
self.assertIsNotNone(action)
with self.assertRaises(WorkerActionHardError):
action.execute({'data_block_slug': 'b--0000-0000-0000-0001'})
def testDataBlockActionMigrateProperties(self):
db1 = DataBlock.objects.create(org=self.o1, title='test', device=self.pd1, block=1, created_by=self.u1)
GenericProperty.objects.create_int_property(slug=self.pd1.slug,
created_by=self.u1,
name='prop1', value=4)
GenericProperty.objects.create_str_property(slug=self.pd1.slug,
created_by=self.u1,
name='prop2', value='4')
GenericProperty.objects.create_bool_property(slug=self.pd1.slug,
created_by=self.u1, is_system=True,
name='@prop3', value=True)
self.assertEqual(GenericProperty.objects.object_properties_qs(self.pd1).count(), 3)
self.assertEqual(GenericProperty.objects.object_properties_qs(db1).count(), 0)
action = ArchiveDeviceDataAction()
action._block = db1
action._device = self.pd1
action._migrate_properties()
self.assertEqual(GenericProperty.objects.object_properties_qs(self.pd1).count(), 1)
self.assertEqual(GenericProperty.objects.object_properties_qs(db1).count(), 3)
def testDataBlockActionMigrateStreams(self):
device = Device.objects.create_device(project=self.p1, label='d3', template=self.dt1, created_by=self.u2)
block = DataBlock.objects.create(org=self.o1, title='test', device=device, block=1, created_by=self.u1)
stream1 = StreamId.objects.create_stream(
project=self.p1, variable=self.v1, device=device, created_by=self.u2
)
stream2 = StreamId.objects.create_stream(
project=self.p1, variable=self.v2, device=device, created_by=self.u2
)
var3 = StreamVariable.objects.create_variable(
name='Var C', project=self.p1, created_by=self.u2, lid=3,
)
stream3 = StreamId.objects.create_stream(
project=self.p1, variable=var3, device=device, created_by=self.u2
)
self.assertEqual(self.p1.variables.count(), 3)
count0 = StreamId.objects.count()
self.assertEqual(device.streamids.count(), 3)
action = ArchiveDeviceDataAction()
action._block = block
action._device = device
action._clone_streams()
self.assertEqual(StreamId.objects.count(), count0 + 3)
def testDataBlockActionMigrateStreamData(self):
device = Device.objects.create_device(project=self.p1, label='d3', template=self.dt1, created_by=self.u2)
block = DataBlock.objects.create(org=self.o1, title='test', device=device, block=1, created_by=self.u1)
stream1 = StreamId.objects.create_stream(
project=self.p1, variable=self.v1, device=device, created_by=self.u2
)
stream2 = StreamId.objects.create_stream(
project=self.p1, variable=self.v2, device=device, created_by=self.u2
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=5,
int_value=5
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=6,
int_value=6
)
StreamData.objects.create(
stream_slug=stream2.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=7,
int_value=7
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=8,
int_value=8
)
StreamData.objects.create(
stream_slug=stream2.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=9,
int_value=9
)
action = ArchiveDeviceDataAction()
action._block = block
action._device = device
action._clone_streams()
self.assertEqual(StreamData.objects.filter(stream_slug=stream1.slug).count(), 3)
self.assertEqual(StreamData.objects.filter(stream_slug=stream2.slug).count(), 2)
action._migrate_stream_data()
self.assertEqual(StreamData.objects.filter(stream_slug=stream1.slug).count(), 0)
self.assertEqual(StreamData.objects.filter(stream_slug=stream2.slug).count(), 0)
new_stream1 = block.get_stream_slug_for(self.v1.formatted_lid)
self.assertEqual(StreamData.objects.filter(stream_slug=new_stream1).count(), 3)
new_stream2 = block.get_stream_slug_for(self.v2.formatted_lid)
self.assertEqual(StreamData.objects.filter(stream_slug=new_stream2).count(), 2)
self.assertEqual(StreamData.objects.filter(stream_slug=new_stream1).first().project_slug, '')
def testDataBlockActionMigrateStreamEvents(self):
device = Device.objects.create_device(project=self.p1, label='d3', template=self.dt1, created_by=self.u2)
block = DataBlock.objects.create(org=self.o1, title='test', device=device, block=1, created_by=self.u1)
stream1 = StreamId.objects.create_stream(
project=self.p1, variable=self.v1, device=device, created_by=self.u2
)
stream2 = StreamId.objects.create_stream(
project=self.p1, variable=self.v2, device=device, created_by=self.u2
)
StreamEventData.objects.create(
timestamp=timezone.now(),
device_timestamp=10,
stream_slug=stream1.slug,
streamer_local_id=2
)
StreamEventData.objects.create(
timestamp=timezone.now(),
device_timestamp=10,
stream_slug=stream1.slug,
streamer_local_id=3
)
StreamEventData.objects.create(
timestamp=timezone.now(),
device_timestamp=10,
stream_slug=stream2.slug,
streamer_local_id=4
)
action = ArchiveDeviceDataAction()
action._block = block
action._device = device
action._clone_streams()
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream1.slug).count(), 2)
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream2.slug).count(), 1)
action._migrate_stream_events()
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream1.slug).count(), 0)
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream2.slug).count(), 0)
new_stream1 = block.get_stream_slug_for(self.v1.formatted_lid)
self.assertEqual(StreamEventData.objects.filter(stream_slug=new_stream1).count(), 2)
new_stream2 = block.get_stream_slug_for(self.v2.formatted_lid)
self.assertEqual(StreamEventData.objects.filter(stream_slug=new_stream2).count(), 1)
def testDataBlockActionMigrateStreamNote(self):
device = Device.objects.create_device(project=self.p1, label='d3', template=self.dt1, created_by=self.u2)
block = DataBlock.objects.create(org=self.o1, title='test', device=device, block=1, created_by=self.u1)
stream1 = StreamId.objects.create_stream(
project=self.p1, variable=self.v1, device=device, created_by=self.u2
)
StreamId.objects.create_stream(
project=self.p1, variable=self.v2, device=device, created_by=self.u2
)
StreamNote.objects.create(
target_slug=device.slug,
timestamp=timezone.now(),
created_by=self.u2,
note='System 1',
type='sc'
)
StreamNote.objects.create(
target_slug=stream1.slug,
timestamp=timezone.now(),
created_by=self.u2,
note='Note 2'
)
StreamNote.objects.create(
target_slug=stream1.slug,
timestamp=timezone.now(),
created_by=self.u1,
note='Note 3'
)
StreamNote.objects.create(
target_slug=device.slug,
timestamp=timezone.now(),
created_by=self.u2,
note='Note 4'
)
self.assertEqual(StreamNote.objects.count(), 4)
action = ArchiveDeviceDataAction()
action._block = block
action._device = device
action._clone_streams()
self.assertEqual(StreamNote.objects.filter(target_slug=stream1.slug).count(), 2)
self.assertEqual(StreamNote.objects.filter(target_slug=device.slug).count(), 2)
action._migrate_stream_notes()
self.assertEqual(StreamNote.objects.filter(target_slug=stream1.slug).count(), 0)
self.assertEqual(StreamNote.objects.filter(target_slug=device.slug).count(), 1)
new_stream1 = block.get_stream_slug_for(self.v1.formatted_lid)
self.assertEqual(StreamNote.objects.count(), 4)
self.assertEqual(StreamNote.objects.filter(target_slug=new_stream1).count(), 2)
self.assertEqual(StreamNote.objects.filter(target_slug=block.slug).count(), 1)
def testDataBlockActionMigrateDeviceLocations(self):
device = Device.objects.create_device(project=self.p1, label='d3', template=self.dt1, created_by=self.u2)
block = DataBlock.objects.create(org=self.o1, title='test', device=device, block=1, created_by=self.u1)
DeviceLocation.objects.create(
timestamp=timezone.now(),
target_slug=device.slug,
lat=12.1234, lon=10.000,
user=self.u2
)
DeviceLocation.objects.create(
timestamp=timezone.now(),
target_slug=device.slug,
lat=12.1234, lon=11.000,
user=self.u2
)
DeviceLocation.objects.create(
timestamp=timezone.now(),
target_slug=device.slug,
lat=12.1234, lon=12.000,
user=self.u2
)
self.assertEqual(DeviceLocation.objects.count(), 3)
action = ArchiveDeviceDataAction()
action._block = block
action._device = device
self.assertEqual(DeviceLocation.objects.filter(target_slug=device.slug).count(), 3)
action._migrate_device_locations()
self.assertEqual(DeviceLocation.objects.filter(target_slug=device.slug).count(), 0)
self.assertEqual(DeviceLocation.objects.filter(target_slug=block.slug).count(), 3)
def testDataBlockActionMigrateReports(self):
db1 = DataBlock.objects.create(org=self.pd1.org, title='test', device=self.pd1, block=1, created_by=self.u2)
GeneratedUserReport.objects.create(
org=self.pd1.org,
label='My report 1',
source_ref=self.pd1.slug,
created_by=self.u2
)
GeneratedUserReport.objects.create(
org=self.pd1.org,
label='My report 2',
source_ref=self.pd1.slug,
created_by=self.u2
)
self.assertEqual(GeneratedUserReport.objects.filter(source_ref=self.pd1.slug).count(), 2)
self.assertEqual(GeneratedUserReport.objects.filter(source_ref=db1.slug).count(), 0)
action = ArchiveDeviceDataAction()
action._block = db1
action._device = self.pd1
action._migrate_reports()
self.assertEqual(GeneratedUserReport.objects.filter(source_ref=self.pd1.slug).count(), 0)
self.assertEqual(GeneratedUserReport.objects.filter(source_ref=db1.slug).count(), 2)
def testDataBlockActionTestAll(self):
sg = SensorGraph.objects.create(name='SG 1',
major_version=1,
created_by=self.u1, org=self.o1)
device = Device.objects.create_device(project=self.p1, label='d3', template=self.dt1, sg=sg, created_by=self.u2)
block = DataBlock.objects.create(org=self.o1, title='test', device=device, block=1, created_by=self.u1)
stream1 = StreamId.objects.create_stream(
project=self.p1, variable=self.v1, device=device, created_by=self.u2
)
stream2 = StreamId.objects.create_stream(
project=self.p1, variable=self.v2, device=device, created_by=self.u2
)
GenericProperty.objects.create_int_property(slug=device.slug,
created_by=self.u1,
name='prop1', value=4)
GenericProperty.objects.create_str_property(slug=device.slug,
created_by=self.u1,
name='prop2', value='4')
GenericProperty.objects.create_bool_property(slug=device.slug,
created_by=self.u1,
name='prop3', value=True)
StreamEventData.objects.create(
timestamp=timezone.now(),
device_timestamp=10,
stream_slug=stream1.slug,
streamer_local_id=2
)
StreamEventData.objects.create(
timestamp=timezone.now(),
device_timestamp=10,
stream_slug=stream1.slug,
streamer_local_id=3
)
StreamEventData.objects.create(
timestamp=timezone.now(),
device_timestamp=10,
stream_slug=stream2.slug,
streamer_local_id=4
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=5,
int_value=5
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=6,
int_value=6
)
StreamData.objects.create(
stream_slug=stream2.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=7,
int_value=7
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=8,
int_value=8
)
StreamData.objects.create(
stream_slug=stream2.slug,
type='ITR',
timestamp=timezone.now(),
streamer_local_id=9,
int_value=9
)
StreamNote.objects.create(
target_slug=stream1.slug,
timestamp=timezone.now(),
created_by=self.u2,
note='Note 1'
)
StreamNote.objects.create(
target_slug=stream1.slug,
timestamp=timezone.now(),
created_by=self.u2,
note='Note 2'
)
StreamNote.objects.create(
target_slug=stream1.slug,
timestamp=timezone.now(),
created_by=self.u2,
note='Note 3'
)
StreamNote.objects.create(
target_slug=device.slug,
timestamp=timezone.now(),
created_by=self.u1,
note='Note 4'
)
self.assertEqual(GenericProperty.objects.object_properties_qs(device).count(), 3)
self.assertEqual(GenericProperty.objects.object_properties_qs(block).count(), 0)
self.assertEqual(device.streamids.count(), 2)
self.assertEqual(StreamData.objects.filter(stream_slug=stream1.slug).count(), 3)
self.assertEqual(StreamData.objects.filter(stream_slug=stream2.slug).count(), 2)
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream1.slug).count(), 2)
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream2.slug).count(), 1)
self.assertEqual(StreamNote.objects.filter(target_slug=stream1.slug).count(), 3)
self.assertEqual(StreamNote.objects.filter(target_slug=device.slug).count(), 1)
action = ArchiveDeviceDataAction()
action._block = block
action._device = device
action.execute(arguments={'data_block_slug': block.slug})
self.assertEqual(GenericProperty.objects.object_properties_qs(device).count(), 0)
self.assertEqual(GenericProperty.objects.object_properties_qs(block).count(), 3)
self.assertEqual(device.streamids.count(), 4)
self.assertEqual(StreamData.objects.filter(stream_slug=stream1.slug).count(), 0)
self.assertEqual(StreamData.objects.filter(stream_slug=stream2.slug).count(), 0)
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream1.slug).count(), 0)
self.assertEqual(StreamEventData.objects.filter(stream_slug=stream2.slug).count(), 0)
self.assertEqual(StreamNote.objects.filter(target_slug=stream1.slug).count(), 0)
self.assertEqual(StreamNote.objects.filter(target_slug=device.slug).count(), 1)
new_stream1 = block.get_stream_slug_for(self.v1.formatted_lid)
self.assertEqual(StreamId.objects.filter(slug=new_stream1).count(), 1)
new_stream2 = block.get_stream_slug_for(self.v2.formatted_lid)
self.assertEqual(StreamId.objects.filter(slug=new_stream2).count(), 1)
self.assertEqual(StreamData.objects.filter(stream_slug=new_stream1).count(), 3)
self.assertEqual(StreamEventData.objects.filter(stream_slug=new_stream1).count(), 2)
self.assertEqual(StreamNote.objects.filter(target_slug=new_stream1).count(), 3)
self.assertEqual(StreamData.objects.filter(stream_slug=new_stream2).count(), 2)
self.assertEqual(StreamEventData.objects.filter(stream_slug=new_stream2).count(), 1)
block = DataBlock.objects.first()
self.assertIsNotNone(block.completed_on)
self.assertIsNotNone(block.sg)
self.assertEqual(block.sg, sg)
def testDataBlockActionTestDataMask(self):
sg = SensorGraph.objects.create(name='SG 1',
major_version=1,
created_by=self.u1, org=self.o1)
device = Device.objects.create_device(project=self.p1, label='d3', template=self.dt1, sg=sg, created_by=self.u2)
block = DataBlock.objects.create(org=self.o1, title='test', device=device, block=1, created_by=self.u1)
stream1 = StreamId.objects.create_stream(
project=self.p1, variable=self.v1, device=device, created_by=self.u2
)
dt1 = dateutil.parser.parse('2017-09-28T10:00:00Z')
dt2 = dateutil.parser.parse('2017-09-28T11:00:00Z')
dt3 = dateutil.parser.parse('2017-09-30T10:00:00Z')
dt4 = dateutil.parser.parse('2017-09-30T10:10:00Z')
dt5 = dateutil.parser.parse('2017-09-30T10:20:00Z')
set_data_mask(device, '2017-09-28T10:30:00Z', '2017-09-30T10:15:00Z', [], [], self.u1)
StreamData.objects.create(
stream_slug=stream1.slug,
type='Num',
timestamp=dt1,
int_value=5
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='Num',
timestamp=dt2,
int_value=6
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='Num',
timestamp=dt3,
int_value=7
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='Num',
timestamp=dt4,
int_value=8
)
StreamData.objects.create(
stream_slug=stream1.slug,
type='Num',
timestamp=dt5,
int_value=9
)
self.assertEqual(device.streamids.count(), 1)
data_mask_event = get_data_mask_event(device)
mask_slug = data_mask_event.stream_slug
self.assertEqual(StreamData.objects.filter(stream_slug=stream1.slug).count(), 5)
self.assertEqual(StreamEventData.objects.filter(stream_slug=mask_slug).count(), 1)
action = ArchiveDeviceDataAction()
action._block = block
action._device = device
action.execute(arguments={'data_block_slug': block.slug})
self.assertEqual(device.streamids.count(), 2)
self.assertEqual(StreamData.objects.filter(stream_slug=stream1.slug).count(), 0)
self.assertEqual(StreamEventData.objects.filter(stream_slug=mask_slug).count(), 0)
data_mask_event = get_data_mask_event(block)
self.assertEqual(StreamEventData.objects.filter(stream_slug=data_mask_event.stream_slug).count(), 1)
| 41.439108
| 120
| 0.634919
| 2,643
| 24,159
| 5.657208
| 0.080969
| 0.066948
| 0.044342
| 0.032103
| 0.838082
| 0.822164
| 0.788523
| 0.748328
| 0.727996
| 0.68546
| 0
| 0.032195
| 0.254315
| 24,159
| 582
| 121
| 41.510309
| 0.79778
| 0
| 0
| 0.602
| 0
| 0
| 0.02227
| 0.002732
| 0
| 0
| 0
| 0
| 0.158
| 1
| 0.026
| false
| 0
| 0.042
| 0
| 0.07
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
725bc15a18df21922924af39352a1db6548ae9d5
| 5,450
|
py
|
Python
|
ProjectEuler.Problem.013.py
|
jihunroh/ProjectEuler-Python
|
2fceaf5c3dd61038004b6128c5d9ee7a76142bca
|
[
"MIT"
] | null | null | null |
ProjectEuler.Problem.013.py
|
jihunroh/ProjectEuler-Python
|
2fceaf5c3dd61038004b6128c5d9ee7a76142bca
|
[
"MIT"
] | null | null | null |
ProjectEuler.Problem.013.py
|
jihunroh/ProjectEuler-Python
|
2fceaf5c3dd61038004b6128c5d9ee7a76142bca
|
[
"MIT"
] | null | null | null |
from ProjectEulerCommons.Base import *
numbers_list = """37107287533902102798797998220837590246510135740250
46376937677490009712648124896970078050417018260538
74324986199524741059474233309513058123726617309629
91942213363574161572522430563301811072406154908250
23067588207539346171171980310421047513778063246676
89261670696623633820136378418383684178734361726757
28112879812849979408065481931592621691275889832738
44274228917432520321923589422876796487670272189318
47451445736001306439091167216856844588711603153276
70386486105843025439939619828917593665686757934951
62176457141856560629502157223196586755079324193331
64906352462741904929101432445813822663347944758178
92575867718337217661963751590579239728245598838407
58203565325359399008402633568948830189458628227828
80181199384826282014278194139940567587151170094390
35398664372827112653829987240784473053190104293586
86515506006295864861532075273371959191420517255829
71693888707715466499115593487603532921714970056938
54370070576826684624621495650076471787294438377604
53282654108756828443191190634694037855217779295145
36123272525000296071075082563815656710885258350721
45876576172410976447339110607218265236877223636045
17423706905851860660448207621209813287860733969412
81142660418086830619328460811191061556940512689692
51934325451728388641918047049293215058642563049483
62467221648435076201727918039944693004732956340691
15732444386908125794514089057706229429197107928209
55037687525678773091862540744969844508330393682126
18336384825330154686196124348767681297534375946515
80386287592878490201521685554828717201219257766954
78182833757993103614740356856449095527097864797581
16726320100436897842553539920931837441497806860984
48403098129077791799088218795327364475675590848030
87086987551392711854517078544161852424320693150332
59959406895756536782107074926966537676326235447210
69793950679652694742597709739166693763042633987085
41052684708299085211399427365734116182760315001271
65378607361501080857009149939512557028198746004375
35829035317434717326932123578154982629742552737307
94953759765105305946966067683156574377167401875275
88902802571733229619176668713819931811048770190271
25267680276078003013678680992525463401061632866526
36270218540497705585629946580636237993140746255962
24074486908231174977792365466257246923322810917141
91430288197103288597806669760892938638285025333403
34413065578016127815921815005561868836468420090470
23053081172816430487623791969842487255036638784583
11487696932154902810424020138335124462181441773470
63783299490636259666498587618221225225512486764533
67720186971698544312419572409913959008952310058822
95548255300263520781532296796249481641953868218774
76085327132285723110424803456124867697064507995236
37774242535411291684276865538926205024910326572967
23701913275725675285653248258265463092207058596522
29798860272258331913126375147341994889534765745501
18495701454879288984856827726077713721403798879715
38298203783031473527721580348144513491373226651381
34829543829199918180278916522431027392251122869539
40957953066405232632538044100059654939159879593635
29746152185502371307642255121183693803580388584903
41698116222072977186158236678424689157993532961922
62467957194401269043877107275048102390895523597457
23189706772547915061505504953922979530901129967519
86188088225875314529584099251203829009407770775672
11306739708304724483816533873502340845647058077308
82959174767140363198008187129011875491310547126581
97623331044818386269515456334926366572897563400500
42846280183517070527831839425882145521227251250327
55121603546981200581762165212827652751691296897789
32238195734329339946437501907836945765883352399886
75506164965184775180738168837861091527357929701337
62177842752192623401942399639168044983993173312731
32924185707147349566916674687634660915035914677504
99518671430235219628894890102423325116913619626622
73267460800591547471830798392868535206946944540724
76841822524674417161514036427982273348055556214818
97142617910342598647204516893989422179826088076852
87783646182799346313767754307809363333018982642090
10848802521674670883215120185883543223812876952786
71329612474782464538636993009049310363619763878039
62184073572399794223406235393808339651327408011116
66627891981488087797941876876144230030984490851411
60661826293682836764744779239180335110989069790714
85786944089552990653640447425576083659976645795096
66024396409905389607120198219976047599490197230297
64913982680032973156037120041377903785566085089252
16730939319872750275468906903707539413042652315011
94809377245048795150954100921645863754710598436791
78639167021187492431995700641917969777599028300699
15368713711936614952811305876380278410754449733078
40789923115535562561142322423255033685442488917353
44889911501440648020369068063960672322193204149535
41503128880339536053299340368006977710650566631954
81234880673210146739058568557934581403627822703280
82616570773948327592232845941706525094512325230608
22918802058777319719839450180888072429661980811197
77158542502016545090413245809786882778948721859617
72107838435069186155435662884062257473692284509516
20849603980134001723930671666823555245252804609722
53503534226472524250874054075591789781264330331690""".splitlines()
Answer(
str(sum([int(line) for line in numbers_list]))[0:10]
)
"""
------------------------------------------------
ProjectEuler.Problem.013.py
The Answer is: 5537376230
Time Elasped: 0.005984783172607422sec
------------------------------------------------
"""
| 47.391304
| 68
| 0.949725
| 131
| 5,450
| 39.496183
| 0.961832
| 0.004252
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.94839
| 0.025872
| 5,450
| 114
| 69
| 47.807018
| 0.026182
| 0
| 0
| 0
| 0
| 0
| 0.972349
| 0.953471
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.009615
| 0
| 0.009615
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
72b949d8e04cbc755aaffda65747d7946fc2a6d5
| 217
|
py
|
Python
|
gym_reinmav/envs/mujoco/__init__.py
|
peterminh227/reinmav-gym
|
518122b16b86d59f744b3116e6187dafd49a3de4
|
[
"BSD-3-Clause"
] | 60
|
2019-03-08T21:14:38.000Z
|
2022-01-23T20:43:21.000Z
|
gym_reinmav/envs/mujoco/__init__.py
|
peterminh227/reinmav-gym
|
518122b16b86d59f744b3116e6187dafd49a3de4
|
[
"BSD-3-Clause"
] | 8
|
2019-03-09T09:09:38.000Z
|
2022-03-25T15:36:51.000Z
|
gym_reinmav/envs/mujoco/__init__.py
|
peterminh227/reinmav-gym
|
518122b16b86d59f744b3116e6187dafd49a3de4
|
[
"BSD-3-Clause"
] | 22
|
2019-03-08T19:47:49.000Z
|
2022-03-29T09:14:01.000Z
|
from gym_reinmav.envs.mujoco.mujoco_quad import MujocoQuadEnv
from gym_reinmav.envs.mujoco.mujoco_quad_hovering import MujocoQuadHoveringEnv
from gym_reinmav.envs.mujoco.mujoco_quad_quat import MujocoQuadQuaternionEnv
| 72.333333
| 78
| 0.907834
| 29
| 217
| 6.517241
| 0.413793
| 0.111111
| 0.222222
| 0.285714
| 0.539683
| 0.539683
| 0.539683
| 0
| 0
| 0
| 0
| 0
| 0.050691
| 217
| 3
| 79
| 72.333333
| 0.917476
| 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
| 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
| 6
|
72d61a6fdb060552b86f4595f2938ff73c8b70ad
| 41
|
py
|
Python
|
src/scheduled_task/__init__.py
|
Sciocatti/python_scheduler_and_clean_forced_exit
|
4e5373ba33798c08096087058773412257230662
|
[
"MIT"
] | null | null | null |
src/scheduled_task/__init__.py
|
Sciocatti/python_scheduler_and_clean_forced_exit
|
4e5373ba33798c08096087058773412257230662
|
[
"MIT"
] | null | null | null |
src/scheduled_task/__init__.py
|
Sciocatti/python_scheduler_and_clean_forced_exit
|
4e5373ba33798c08096087058773412257230662
|
[
"MIT"
] | null | null | null |
from .scheduled_task import ScheduledTask
| 41
| 41
| 0.902439
| 5
| 41
| 7.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073171
| 41
| 1
| 41
| 41
| 0.947368
| 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
| 1
| 0
|
0
| 6
|
72fac0ae2d96fa1f6d3aaf1194458c0e2fa5d7a4
| 143
|
py
|
Python
|
custom_app/custom_app/doctype/depart/test_depart.py
|
Amruthaohm/custom_app
|
03bc3fc11c3627251796611caf33b7117c46d69b
|
[
"MIT"
] | null | null | null |
custom_app/custom_app/doctype/depart/test_depart.py
|
Amruthaohm/custom_app
|
03bc3fc11c3627251796611caf33b7117c46d69b
|
[
"MIT"
] | null | null | null |
custom_app/custom_app/doctype/depart/test_depart.py
|
Amruthaohm/custom_app
|
03bc3fc11c3627251796611caf33b7117c46d69b
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2022, momscode and Contributors
# See license.txt
# import frappe
import unittest
class Testdepart(unittest.TestCase):
pass
| 15.888889
| 47
| 0.776224
| 18
| 143
| 6.166667
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032787
| 0.146853
| 143
| 8
| 48
| 17.875
| 0.877049
| 0.524476
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
f4242dbae6b7b1f46a3706ed85d4e577d7b0d160
| 106,765
|
py
|
Python
|
projectroles/tests/test_views_api.py
|
bihealth/sodar_core
|
a6c22c4f276b64ffae6de48779a82d59a60a9333
|
[
"MIT"
] | 11
|
2019-06-26T14:05:58.000Z
|
2020-12-05T02:20:11.000Z
|
projectroles/tests/test_views_api.py
|
bihealth/sodar_core
|
a6c22c4f276b64ffae6de48779a82d59a60a9333
|
[
"MIT"
] | 11
|
2019-07-01T06:17:44.000Z
|
2021-04-20T07:19:40.000Z
|
projectroles/tests/test_views_api.py
|
bihealth/sodar_core
|
a6c22c4f276b64ffae6de48779a82d59a60a9333
|
[
"MIT"
] | 4
|
2019-06-26T07:49:50.000Z
|
2020-05-19T21:58:10.000Z
|
"""REST API view tests for the projectroles app"""
import base64
import json
import pytz
from django.conf import settings
from django.core import mail
from django.forms.models import model_to_dict
from django.test import override_settings
from django.urls import reverse
from django.utils import timezone
from knox.models import AuthToken
from test_plus.test import APITestCase
from projectroles import views_api
from projectroles.models import (
Project,
Role,
RoleAssignment,
ProjectInvite,
SODAR_CONSTANTS,
)
from projectroles.plugins import change_plugin_status, get_backend_api
from projectroles.remote_projects import RemoteProjectAPI
from projectroles.tests.test_models import (
ProjectMixin,
RoleAssignmentMixin,
ProjectInviteMixin,
RemoteSiteMixin,
RemoteProjectMixin,
AppSettingMixin,
)
from projectroles.tests.test_views import (
TestViewsBase,
PROJECT_TYPE_CATEGORY,
PROJECT_TYPE_PROJECT,
PROJECT_ROLE_OWNER,
PROJECT_ROLE_DELEGATE,
PROJECT_ROLE_CONTRIBUTOR,
PROJECT_ROLE_GUEST,
REMOTE_SITE_NAME,
REMOTE_SITE_URL,
SITE_MODE_SOURCE,
SITE_MODE_TARGET,
REMOTE_SITE_DESC,
REMOTE_SITE_SECRET,
)
from projectroles.utils import build_secret
CORE_API_MEDIA_TYPE_INVALID = 'application/vnd.bihealth.invalid'
CORE_API_VERSION_INVALID = '9.9.9'
INVALID_UUID = '11111111-1111-1111-1111-111111111111'
NEW_CATEGORY_TITLE = 'New Category'
NEW_PROJECT_TITLE = 'New Project'
UPDATED_TITLE = 'Updated Title'
UPDATED_DESC = 'Updated description'
UPDATED_README = 'Updated readme'
INVITE_USER_EMAIL = '[email protected]'
INVITE_USER2_EMAIL = '[email protected]'
INVITE_MESSAGE = 'Message'
# Base Classes -----------------------------------------------------------------
class SODARAPIViewTestMixin:
"""
Mixin for SODAR and SODAR Core API views with accept headers, knox token
authorization and general helper methods.
"""
# Default API header parameters are for external SODAR site APIs
# Override these for testing SODAR Core API views
media_type = settings.SODAR_API_MEDIA_TYPE
api_version = settings.SODAR_API_DEFAULT_VERSION
# Copied from Knox tests
@classmethod
def _get_basic_auth_header(cls, username, password):
return (
'Basic %s'
% base64.b64encode(
('%s:%s' % (username, password)).encode('ascii')
).decode()
)
@classmethod
def get_token(cls, user, full_result=False):
"""
Get or create a knox token for a user.
:param user: User object
:param full_result: Return full result of AuthToken creation if True
:return: Token string or AuthToken creation tuple
"""
result = AuthToken.objects.create(user=user)
return result if full_result else result[1]
@classmethod
def get_serialized_user(cls, user):
"""
Return serialization for a user.
:param user: User object
:return: Dict
"""
return {
'email': user.email,
'name': user.name,
'sodar_uuid': str(user.sodar_uuid),
'username': user.username,
}
@classmethod
def get_drf_datetime(cls, obj_dt):
"""
Return datetime in DRF compatible format.
:param obj_dt: Object DateTime field
:return: String
"""
return timezone.localtime(
obj_dt, pytz.timezone(settings.TIME_ZONE)
).isoformat()
@classmethod
def get_accept_header(
cls,
media_type=None,
version=None,
):
"""
Return version accept header based on the media type and version string.
:param media_type: String (default = cls.media_type)
:param version: String (default = cls.api_version)
:return: Dict
"""
if not media_type:
media_type = cls.media_type
if not version:
version = cls.api_version
return {'HTTP_ACCEPT': '{}; version={}'.format(media_type, version)}
@classmethod
def get_token_header(cls, token):
"""
Return auth header based on token.
:param token: Token string
:return: Dict
"""
return {'HTTP_AUTHORIZATION': 'token {}'.format(token)}
def request_knox(
self,
url,
method='GET',
format='json',
data=None,
token=None,
media_type=None,
version=None,
header=None,
):
"""
Perform a HTTP request with Knox token auth.
:param url: URL for the request
:param method: Request method (string, default="GET")
:param format: Request format (string, default="json")
:param data: Optional data for request (dict)
:param token: Knox token string (if None, use self.knox_token)
:param media_type: String (default = cls.media_type)
:param version: String (default = cls.api_version)
:return: Response object
"""
if not token:
token = self.knox_token
req_kwargs = {
'format': format,
**self.get_accept_header(media_type, version),
**self.get_token_header(token),
}
if data:
req_kwargs['data'] = data
if header:
req_kwargs.update(header)
req_method = getattr(self.client, method.lower(), None)
if not req_method:
raise ValueError('Unsupported method "{}"'.format(method))
return req_method(url, **req_kwargs)
class TestAPIViewsBase(
ProjectMixin, RoleAssignmentMixin, SODARAPIViewTestMixin, APITestCase
):
"""Base API test view with knox authentication"""
def setUp(self):
# Show complete diff in case of failure
self.maxDiff = None
# Force disabling of taskflow plugin if it's available
if get_backend_api('taskflow'):
change_plugin_status(
name='taskflow', status=1, plugin_type='backend' # 0 = Disabled
)
# Init roles
self.role_owner = Role.objects.get_or_create(name=PROJECT_ROLE_OWNER)[0]
self.role_delegate = Role.objects.get_or_create(
name=PROJECT_ROLE_DELEGATE
)[0]
self.role_contributor = Role.objects.get_or_create(
name=PROJECT_ROLE_CONTRIBUTOR
)[0]
self.role_guest = Role.objects.get_or_create(name=PROJECT_ROLE_GUEST)[0]
# Init superuser
self.user = self.make_user('superuser')
self.user.is_staff = True
self.user.is_superuser = True
self.user.save()
# Set up category and project with owner role assignments
self.category = self._make_project(
'TestCategory', PROJECT_TYPE_CATEGORY, None
)
self.cat_owner_as = self._make_assignment(
self.category, self.user, self.role_owner
)
self.project = self._make_project(
'TestProject', PROJECT_TYPE_PROJECT, self.category
)
self.owner_as = self._make_assignment(
self.project, self.user, self.role_owner
)
# Get knox token for self.user
self.knox_token = self.get_token(self.user)
class TestCoreAPIViewsBase(TestAPIViewsBase):
"""Override of TestAPIViewsBase to be used with SODAR Core API views"""
media_type = views_api.CORE_API_MEDIA_TYPE
api_version = views_api.CORE_API_DEFAULT_VERSION
# Tests ------------------------------------------------------------------------
class TestProjectListAPIView(TestCoreAPIViewsBase):
"""Tests for ProjectListAPIView"""
def test_get(self):
"""Test ProjectListAPIView get() as project owner"""
url = reverse('projectroles:api_project_list')
response = self.request_knox(url)
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(len(response_data), 2)
expected = [
{
'title': self.category.title,
'type': self.category.type,
'parent': None,
'description': self.category.description,
'readme': '',
'public_guest_access': False,
'submit_status': self.category.submit_status,
'roles': {
str(self.cat_owner_as.sodar_uuid): {
'user': {
'username': self.user.username,
'name': self.user.name,
'email': self.user.email,
'sodar_uuid': str(self.user.sodar_uuid),
},
'role': PROJECT_ROLE_OWNER,
'sodar_uuid': str(self.cat_owner_as.sodar_uuid),
}
},
'sodar_uuid': str(self.category.sodar_uuid),
},
{
'title': self.project.title,
'type': self.project.type,
'parent': str(self.category.sodar_uuid),
'description': self.project.description,
'readme': '',
'public_guest_access': False,
'submit_status': self.project.submit_status,
'roles': {
str(self.owner_as.sodar_uuid): {
'user': {
'username': self.user.username,
'name': self.user.name,
'email': self.user.email,
'sodar_uuid': str(self.user.sodar_uuid),
},
'role': PROJECT_ROLE_OWNER,
'sodar_uuid': str(self.owner_as.sodar_uuid),
}
},
'sodar_uuid': str(self.project.sodar_uuid),
},
]
self.assertEqual(response_data, expected)
def test_get_no_roles(self):
"""Test ProjectListAPIView get() without roles"""
user_no_roles = self.make_user('user_no_roles')
url = reverse('projectroles:api_project_list')
response = self.request_knox(url, token=self.get_token(user_no_roles))
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(len(response_data), 0)
def test_get_limited_roles(self):
"""Test ProjectListAPIView get() with only one role"""
user_no_roles = self.make_user('user_no_roles')
self._make_assignment(
self.project, user_no_roles, self.role_contributor
)
url = reverse('projectroles:api_project_list')
response = self.request_knox(url, token=self.get_token(user_no_roles))
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(len(response_data), 1)
class TestProjectRetrieveAPIView(AppSettingMixin, TestCoreAPIViewsBase):
"""Tests for ProjectRetrieveAPIView"""
def test_get_category(self):
"""Test ProjectRetrieveAPIView get() with a category"""
url = reverse(
'projectroles:api_project_retrieve',
kwargs={'project': self.category.sodar_uuid},
)
response = self.request_knox(url)
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
expected = {
'title': self.category.title,
'type': self.category.type,
'parent': None,
'description': self.category.description,
'readme': '',
'public_guest_access': False,
'submit_status': self.category.submit_status,
'roles': {
str(self.cat_owner_as.sodar_uuid): {
'user': {
'username': self.user.username,
'name': self.user.name,
'email': self.user.email,
'sodar_uuid': str(self.user.sodar_uuid),
},
'role': PROJECT_ROLE_OWNER,
'sodar_uuid': str(self.cat_owner_as.sodar_uuid),
}
},
'sodar_uuid': str(self.category.sodar_uuid),
}
self.assertEqual(response_data, expected)
def test_get_project(self):
"""Test ProjectRetrieveAPIView get() with a project"""
url = reverse(
'projectroles:api_project_retrieve',
kwargs={'project': self.project.sodar_uuid},
)
response = self.request_knox(url)
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
expected = {
'title': self.project.title,
'type': self.project.type,
'parent': str(self.category.sodar_uuid),
'description': self.project.description,
'readme': '',
'public_guest_access': False,
'submit_status': self.project.submit_status,
'roles': {
str(self.owner_as.sodar_uuid): {
'user': {
'username': self.user.username,
'name': self.user.name,
'email': self.user.email,
'sodar_uuid': str(self.user.sodar_uuid),
},
'role': PROJECT_ROLE_OWNER,
'sodar_uuid': str(self.owner_as.sodar_uuid),
}
},
'sodar_uuid': str(self.project.sodar_uuid),
}
self.assertEqual(response_data, expected)
def test_get_not_found(self):
"""Test ProjectRetrieveAPIView get() with an invalid UUID"""
url = reverse(
'projectroles:api_project_retrieve',
kwargs={'project': INVALID_UUID},
)
response = self.request_knox(url)
self.assertEqual(response.status_code, 404)
class TestIPAllowing(AppSettingMixin, TestCoreAPIViewsBase):
"""Tests for IP allowing settings using ProjectRetrieveAPIView"""
def _setup_ip_allowing(self, ip_list, role_suffix):
"""Setup users and roles for IP allowing test"""
# Create new user
user = self.make_user(role_suffix)
# Remove previously assigned owner role for superuser.
superuser_as_owner_role = RoleAssignment.objects.get(
project=self.project, user=self.user, role=self.role_owner
)
superuser_as_owner_role.delete()
# Assign requested role to user
user_as = self._make_assignment(
self.project, user, getattr(self, 'role_' + role_suffix)
)
user_cat_as = RoleAssignment.objects.get(
project=self.category, user=self.user, role=self.role_owner
)
if role_suffix == 'owner':
user_cat_as.delete()
user_cat_as = self._make_assignment(
self.category, user, getattr(self, 'role_' + role_suffix)
)
# Init IP restrict setting
self._make_setting(
app_name='projectroles',
name='ip_restrict',
setting_type='BOOLEAN',
value=True,
project=self.project,
)
# Init IP allowlist setting
self._make_setting(
app_name='projectroles',
name='ip_allowlist',
setting_type='JSON',
value=None,
value_json=ip_list,
project=self.project,
)
return user, user_as, user_cat_as
def _get_project_ip_allowing(
self, username, http_attribute, ip_list, blocked=None
):
"""Helper for IP allowing tests"""
if blocked is None:
raise Exception('Please set "blocked" argument (True/False)')
user, user_as, user_cat_as = self._setup_ip_allowing(ip_list, username)
url = reverse(
'projectroles:api_project_retrieve',
kwargs={'project': self.project.sodar_uuid},
)
header = {http_attribute: '192.168.1.1'}
response = self.request_knox(
url, token=self.get_token(user), header=header
)
if username == 'owner':
role = PROJECT_ROLE_OWNER
elif username == 'delegate':
role = PROJECT_ROLE_DELEGATE
elif username == 'contributor':
role = PROJECT_ROLE_CONTRIBUTOR
else:
role = PROJECT_ROLE_GUEST
if blocked:
self.assertEqual(response.status_code, 403)
else:
expected = {
'title': self.project.title,
'type': self.project.type,
'parent': str(self.category.sodar_uuid),
'description': self.project.description,
'readme': '',
'public_guest_access': False,
'submit_status': self.project.submit_status,
'roles': {
str(user_as.sodar_uuid): {
'user': {
'username': user.username,
'name': user.name,
'email': user.email,
'sodar_uuid': str(user.sodar_uuid),
},
'role': role,
'sodar_uuid': str(user_as.sodar_uuid),
}
},
'sodar_uuid': str(self.project.sodar_uuid),
}
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(response_data, expected)
def test_http_x_forwarded_for_block_all_owner(self):
self._get_project_ip_allowing(
'owner', 'HTTP_X_FORWARDED_FOR', [], blocked=False
)
def test_http_x_forwarded_for_allow_ip_owner(self):
self._get_project_ip_allowing(
'owner', 'HTTP_X_FORWARDED_FOR', ['192.168.1.1'], blocked=False
)
def test_http_x_forwarded_for_block_all_delegate(self):
self._get_project_ip_allowing(
'delegate', 'HTTP_X_FORWARDED_FOR', [], blocked=False
)
def test_http_x_forwarded_for_allow_ip_delegate(self):
self._get_project_ip_allowing(
'delegate', 'HTTP_X_FORWARDED_FOR', ['192.168.1.1'], blocked=False
)
def test_http_x_forwarded_for_block_all_contributor(self):
self._get_project_ip_allowing(
'contributor', 'HTTP_X_FORWARDED_FOR', [], blocked=True
)
def test_http_x_forwarded_for_allow_ip_contributor(self):
self._get_project_ip_allowing(
'contributor',
'HTTP_X_FORWARDED_FOR',
['192.168.1.1'],
blocked=False,
)
def test_http_x_forwarded_for_block_all_guest(self):
self._get_project_ip_allowing(
'guest', 'HTTP_X_FORWARDED_FOR', [], blocked=True
)
def test_http_x_forwarded_for_allow_ip_guest(self):
self._get_project_ip_allowing(
'guest', 'HTTP_X_FORWARDED_FOR', ['192.168.1.1'], blocked=False
)
def test_x_forwarded_for_block_all_owner(self):
self._get_project_ip_allowing(
'owner', 'X_FORWARDED_FOR', [], blocked=False
)
def test_x_forwarded_for_allow_ip_owner(self):
self._get_project_ip_allowing(
'owner', 'X_FORWARDED_FOR', ['192.168.1.1'], blocked=False
)
def test_x_forwarded_for_block_all_delegate(self):
self._get_project_ip_allowing(
'delegate', 'X_FORWARDED_FOR', [], blocked=False
)
def test_x_forwarded_for_allow_ip_delegate(self):
self._get_project_ip_allowing(
'delegate', 'X_FORWARDED_FOR', ['192.168.1.1'], blocked=False
)
def test_x_forwarded_for_block_all_contributor(self):
self._get_project_ip_allowing(
'contributor', 'X_FORWARDED_FOR', [], blocked=True
)
def test_forwarded_for_allow_ip_contributor(self):
self._get_project_ip_allowing(
'contributor', 'X_FORWARDED_FOR', ['192.168.1.1'], blocked=False
)
def test_forwarded_for_block_all_guest(self):
self._get_project_ip_allowing(
'guest', 'X_FORWARDED_FOR', [], blocked=True
)
def test_forwarded_for_allow_ip_guest(self):
self._get_project_ip_allowing(
'guest', 'X_FORWARDED_FOR', ['192.168.1.1'], blocked=False
)
def test_forwarded_block_all_owner(self):
self._get_project_ip_allowing('owner', 'FORWARDED', [], blocked=False)
def test_forwarded_allow_ip_owner(self):
self._get_project_ip_allowing(
'owner', 'FORWARDED', ['192.168.1.1'], blocked=False
)
def test_forwarded_block_all_delegate(self):
self._get_project_ip_allowing(
'delegate', 'FORWARDED', [], blocked=False
)
def test_forwarded_allow_ip_delegate(self):
self._get_project_ip_allowing(
'delegate', 'FORWARDED', ['192.168.1.1'], blocked=False
)
def test_forwarded_block_all_contributor(self):
self._get_project_ip_allowing(
'contributor', 'FORWARDED', [], blocked=True
)
def test_forwarded_allow_ip_contributor(self):
self._get_project_ip_allowing(
'contributor', 'FORWARDED', ['192.168.1.1'], blocked=False
)
def test_forwarded_block_all_guest(self):
self._get_project_ip_allowing('guest', 'FORWARDED', [], blocked=True)
def test_forwarded_allow_ip_guest(self):
self._get_project_ip_allowing(
'guest', 'FORWARDED', ['192.168.1.1'], blocked=False
)
def test_remote_addr_block_all_owner(self):
self._get_project_ip_allowing('owner', 'REMOTE_ADDR', [], blocked=False)
def test_remote_addr_allow_ip_owner(self):
self._get_project_ip_allowing(
'owner', 'REMOTE_ADDR', ['192.168.1.1'], blocked=False
)
def test_remote_addr_block_all_delegate(self):
self._get_project_ip_allowing(
'delegate', 'REMOTE_ADDR', [], blocked=False
)
def test_remote_addr_allow_ip_delegate(self):
self._get_project_ip_allowing(
'delegate', 'REMOTE_ADDR', ['192.168.1.1'], blocked=False
)
def test_remote_addr_block_all_contributor(self):
self._get_project_ip_allowing(
'contributor', 'REMOTE_ADDR', [], blocked=True
)
def test_remote_addr_allow_ip_contributor(self):
self._get_project_ip_allowing(
'contributor', 'REMOTE_ADDR', ['192.168.1.1'], blocked=False
)
def test_remote_addr_block_all_guest(self):
self._get_project_ip_allowing('guest', 'REMOTE_ADDR', [], blocked=True)
def test_remote_addr_allow_ip_guest(self):
self._get_project_ip_allowing(
'guest', 'REMOTE_ADDR', ['192.168.1.1'], blocked=False
)
def test_remote_addr_allow_network_guest(self):
self._get_project_ip_allowing(
'guest', 'REMOTE_ADDR', ['192.168.1.0/24'], blocked=False
)
def test_remote_addr_block_not_in_allowlist_ip_guest(self):
self._get_project_ip_allowing(
'guest', 'REMOTE_ADDR', ['192.168.1.2'], blocked=True
)
def test_remote_addr_block_not_in_allowlist_network_guest(
self,
):
self._get_project_ip_allowing(
'guest', 'REMOTE_ADDR', ['192.168.2.0/24'], blocked=True
)
class TestProjectCreateAPIView(
RemoteSiteMixin, RemoteProjectMixin, TestCoreAPIViewsBase
):
"""Tests for ProjectCreateAPIView"""
def test_create_category(self):
"""Test creating a root category"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_CATEGORY_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': '',
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(Project.objects.count(), 3)
# Assert object content
new_category = Project.objects.get(title=NEW_CATEGORY_TITLE)
model_dict = model_to_dict(new_category)
model_dict['readme'] = model_dict['readme'].raw
expected = {
'id': new_category.pk,
'title': new_category.title,
'type': new_category.type,
'parent': None,
'description': new_category.description,
'readme': new_category.readme.raw,
'public_guest_access': False,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'full_title': new_category.title,
'sodar_uuid': new_category.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert role assignment
self.assertEqual(
RoleAssignment.objects.filter(
project=new_category, user=self.user, role=self.role_owner
).count(),
1,
)
# Assert API response
expected = {
'title': NEW_CATEGORY_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': None,
'description': new_category.description,
'readme': new_category.readme.raw,
'public_guest_access': False,
'sodar_uuid': str(new_category.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_create_category_nested(self):
"""Test creating a category under an existing category"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_CATEGORY_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': str(self.category.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(Project.objects.count(), 3)
# Assert object content
new_category = Project.objects.get(title=NEW_CATEGORY_TITLE)
model_dict = model_to_dict(new_category)
model_dict['readme'] = model_dict['readme'].raw
expected = {
'id': new_category.pk,
'title': new_category.title,
'type': new_category.type,
'parent': self.category.pk,
'description': new_category.description,
'readme': new_category.readme.raw,
'public_guest_access': False,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'full_title': self.category.title + ' / ' + new_category.title,
'sodar_uuid': new_category.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert role assignment
self.assertEqual(
RoleAssignment.objects.filter(
project=new_category, user=self.user, role=self.role_owner
).count(),
1,
)
# Assert API response
expected = {
'title': NEW_CATEGORY_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': str(self.category.sodar_uuid),
'description': new_category.description,
'readme': new_category.readme.raw,
'public_guest_access': False,
'sodar_uuid': str(new_category.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_create_project(self):
"""Test creating a project under an existing category"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(Project.objects.count(), 3)
# Assert object content
new_project = Project.objects.get(title=NEW_PROJECT_TITLE)
model_dict = model_to_dict(new_project)
model_dict['readme'] = model_dict['readme'].raw
expected = {
'id': new_project.pk,
'title': new_project.title,
'type': new_project.type,
'parent': self.category.pk,
'description': new_project.description,
'readme': new_project.readme.raw,
'public_guest_access': False,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'full_title': self.category.title + ' / ' + new_project.title,
'sodar_uuid': new_project.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert role assignment
self.assertEqual(
RoleAssignment.objects.filter(
project=new_project, user=self.user, role=self.role_owner
).count(),
1,
)
# Assert API response
expected = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': new_project.description,
'readme': new_project.readme.raw,
'public_guest_access': False,
'sodar_uuid': str(new_project.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_create_project_root(self):
"""Test creating a project in root (should fail)"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': None,
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400)
self.assertEqual(Project.objects.count(), 2)
@override_settings(PROJECTROLES_DISABLE_CATEGORIES=True)
def test_create_project_disable_categories(self):
"""Test creating a project in root with disabled categories"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': '',
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(Project.objects.count(), 3)
def test_create_project_duplicate_title(self):
"""Test creating a project with a title already in category (should fail)"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': self.project.title,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400)
self.assertEqual(Project.objects.count(), 2)
def test_create_project_unknown_user(self):
"""Test creating a project with a non-existent user (should fail)"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': INVALID_UUID,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400)
self.assertEqual(Project.objects.count(), 2)
def test_create_project_unknown_parent(self):
"""Test creating a project with a non-existent parent category (should fail)"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': INVALID_UUID,
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400)
self.assertEqual(Project.objects.count(), 2)
def test_create_project_invalid_parent(self):
"""Test creating a project with a project as parent (should fail)"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.project.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400)
self.assertEqual(Project.objects.count(), 2)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_create_project_target_enabled(self):
"""Test creating a project as TARGET with target creation allowed"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(Project.objects.count(), 3)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_create_project_target_remote(self):
"""Test creating a project as TARGET under a remote category (should fail)"""
# Create source site
source_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_SOURCE,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
# Make category remote
self._make_remote_project(
project_uuid=self.category.sodar_uuid,
project=self.category,
site=source_site,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_ROLES'],
)
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 403, msg=response.content)
self.assertEqual(Project.objects.count(), 2)
@override_settings(
PROJECTROLES_SITE_MODE=SITE_MODE_TARGET,
PROJECTROLES_TARGET_CREATE=False,
)
def test_create_project_target_disabled(self):
"""Test creating a project as TARGET with target creation disallowed (should fail)"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse('projectroles:api_project_create')
post_data = {
'title': NEW_PROJECT_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': 'description',
'readme': 'readme',
'public_guest_access': False,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 403, msg=response.content)
self.assertEqual(Project.objects.count(), 2)
class TestProjectUpdateAPIView(
RemoteSiteMixin, RemoteProjectMixin, TestCoreAPIViewsBase
):
"""Tests for ProjectUpdateAPIView"""
def test_put_category(self):
"""Test put() for category updating"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.category.sodar_uuid},
)
put_data = {
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': '',
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='PUT', data=put_data)
# Assert response and project status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(Project.objects.count(), 2)
# Assert object content
self.category.refresh_from_db()
model_dict = model_to_dict(self.category)
model_dict['readme'] = model_dict['readme'].raw
expected = {
'id': self.category.pk,
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': None,
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'full_title': UPDATED_TITLE,
'sodar_uuid': self.category.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert API response
expected = {
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': None,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'roles': {
str(self.category.get_owner().sodar_uuid): {
'role': PROJECT_ROLE_OWNER,
'user': self.get_serialized_user(self.user),
'sodar_uuid': str(self.category.get_owner().sodar_uuid),
}
},
'sodar_uuid': str(self.category.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_put_project(self):
"""Test put() for project updating"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
put_data = {
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'owner': str(self.user.sodar_uuid),
}
response = self.request_knox(url, method='PUT', data=put_data)
# Assert response and project status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(Project.objects.count(), 2)
# Assert object content
self.project.refresh_from_db()
model_dict = model_to_dict(self.project)
model_dict['readme'] = model_dict['readme'].raw
expected = {
'id': self.project.pk,
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': self.category.pk,
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'full_title': self.category.title + ' / ' + UPDATED_TITLE,
'sodar_uuid': self.project.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert API response
expected = {
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'roles': {
str(self.project.get_owner().sodar_uuid): {
'role': PROJECT_ROLE_OWNER,
'user': self.get_serialized_user(self.user),
'sodar_uuid': str(self.project.get_owner().sodar_uuid),
}
},
'sodar_uuid': str(self.project.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_patch_category(self):
"""Test patch() for updating category metadata"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.category.sodar_uuid},
)
patch_data = {
'title': UPDATED_TITLE,
'description': UPDATED_DESC,
'readme': UPDATED_README,
}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response and project status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(Project.objects.count(), 2)
# Assert object content
self.category.refresh_from_db()
model_dict = model_to_dict(self.category)
model_dict['readme'] = model_dict['readme'].raw
expected = {
'id': self.category.pk,
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': None,
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': False,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'full_title': UPDATED_TITLE,
'sodar_uuid': self.category.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert role assignment
self.assertEqual(self.category.get_owner().user, self.user)
# Assert API response
expected = {
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_CATEGORY,
'parent': None,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': False,
'roles': {
str(self.category.get_owner().sodar_uuid): {
'role': PROJECT_ROLE_OWNER,
'user': self.get_serialized_user(self.user),
'sodar_uuid': str(self.category.get_owner().sodar_uuid),
}
},
'sodar_uuid': str(self.category.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_patch_project(self):
"""Test patch() for updating project metadata"""
# Assert preconditions
self.assertEqual(Project.objects.count(), 2)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {
'title': UPDATED_TITLE,
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response and project status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(Project.objects.count(), 2)
# Assert object content
self.project.refresh_from_db()
model_dict = model_to_dict(self.project)
model_dict['readme'] = model_dict['readme'].raw
expected = {
'id': self.project.pk,
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': self.category.pk,
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'full_title': self.category.title + ' / ' + UPDATED_TITLE,
'sodar_uuid': self.project.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert role assignment
self.assertEqual(self.project.get_owner().user, self.user)
# Assert API response
expected = {
'title': UPDATED_TITLE,
'type': PROJECT_TYPE_PROJECT,
'parent': str(self.category.sodar_uuid),
'submit_status': SODAR_CONSTANTS['SUBMIT_STATUS_OK'],
'description': UPDATED_DESC,
'readme': UPDATED_README,
'public_guest_access': True,
'roles': {
str(self.project.get_owner().sodar_uuid): {
'role': PROJECT_ROLE_OWNER,
'user': self.get_serialized_user(self.user),
'sodar_uuid': str(self.project.get_owner().sodar_uuid),
}
},
'sodar_uuid': str(self.project.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_patch_project_owner(self):
"""Test patch() for updating project owner (should fail)"""
new_owner = self.make_user('new_owner')
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {'owner': str(new_owner.sodar_uuid)}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
def test_patch_project_move(self):
"""Test patch() for moving project under a different category"""
# Assert preconditions
self.assertEqual(
self.project.full_title,
self.category.title + ' / ' + self.project.title,
)
new_category = self._make_project(
'NewCategory', PROJECT_TYPE_CATEGORY, None
)
self._make_assignment(new_category, self.user, self.role_owner)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {'parent': str(new_category.sodar_uuid)}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 200, msg=response.content)
# Assert object content
self.project.refresh_from_db()
model_dict = model_to_dict(self.project)
self.assertEqual(model_dict['parent'], new_category.pk)
# Assert role assignment
self.assertEqual(self.project.get_owner().user, self.user)
# Assert child project full title update
self.assertEqual(
self.project.full_title,
new_category.title + ' / ' + self.project.title,
)
# Assert API response
self.assertEqual(
json.loads(response.content)['parent'], str(new_category.sodar_uuid)
)
def test_patch_project_move_unallowed(self):
"""Test patch() for moving project without permissions (should fail)"""
new_category = self._make_project(
'NewCategory', PROJECT_TYPE_CATEGORY, None
)
new_owner = self.make_user('new_owner')
self._make_assignment(new_category, new_owner, self.role_owner)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {'parent': str(new_category.sodar_uuid)}
# Disable superuser status from self.user and perform request
self.user.is_superuser = False
self.user.save()
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 403, msg=response.content)
def test_patch_project_move_root(self):
"""Test patch() for moving project without permissions (should fail)"""
new_category = self._make_project(
'NewCategory', PROJECT_TYPE_CATEGORY, None
)
new_owner = self.make_user('new_owner')
self._make_assignment(new_category, new_owner, self.role_owner)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {'parent': ''}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 200, msg=response.content)
def test_patch_project_move_root_unallowed(self):
"""Test patch() for moving project to root without permissions (should fail)"""
new_category = self._make_project(
'NewCategory', PROJECT_TYPE_CATEGORY, None
)
new_owner = self.make_user('new_owner')
self._make_assignment(new_category, new_owner, self.role_owner)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {'parent': ''}
# Disable superuser status from self.user and perform request
self.user.is_superuser = False
self.user.save()
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 403, msg=response.content)
def test_patch_project_move_child(self):
"""Test patch() for moving a category inside its child (should fail)"""
new_category = self._make_project(
'NewCategory', PROJECT_TYPE_CATEGORY, self.category
)
self._make_assignment(new_category, self.user, self.role_owner)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.category.sodar_uuid},
)
patch_data = {'parent': str(new_category.sodar_uuid)}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
def test_patch_project_type_change(self):
"""Test patch() with a changed project type (should fail)"""
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {'type': PROJECT_TYPE_CATEGORY}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_patch_project_remote(self):
"""Test patch() for updating remote project metadata (should fail)"""
# Create source site and remote project
source_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_SOURCE,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
self._make_remote_project(
project_uuid=self.project.sodar_uuid,
project=self.project,
site=source_site,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_ROLES'],
)
url = reverse(
'projectroles:api_project_update',
kwargs={'project': self.project.sodar_uuid},
)
patch_data = {
'title': UPDATED_TITLE,
'description': UPDATED_DESC,
'readme': UPDATED_README,
}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response and project status
self.assertEqual(response.status_code, 400, msg=response.content)
class TestRoleAssignmentCreateAPIView(
RemoteSiteMixin, RemoteProjectMixin, TestCoreAPIViewsBase
):
"""Tests for RoleAssignmentCreateAPIView"""
def setUp(self):
super().setUp()
self.assign_user = self.make_user('assign_user')
def test_create_contributor(self):
"""Test creating a contributor role for user"""
# Assert preconditions
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 1
)
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_CONTRIBUTOR,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and role status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 2
)
# Assert object
role_as = RoleAssignment.objects.filter(
project=self.project,
role=self.role_contributor,
user=self.assign_user,
).first()
self.assertIsNotNone(role_as)
# Assert API response
expected = {
'project': str(self.project.sodar_uuid),
'role': PROJECT_ROLE_CONTRIBUTOR,
'user': str(self.assign_user.sodar_uuid),
'sodar_uuid': str(role_as.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_create_owner(self):
"""Test creating an owner role (should fail)"""
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_OWNER,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
def test_create_delegate(self):
"""Test creating a delegate role for user as owner"""
# Disable superuser status from self.user
self.user.is_superuser = False
self.user.save()
# Assert preconditions
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 1
)
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_DELEGATE,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 2
)
# Assert object
role_as = RoleAssignment.objects.filter(
project=self.project, role=self.role_delegate, user=self.assign_user
).first()
self.assertIsNotNone(role_as)
def test_create_delegate_unauthorized(self):
"""Test creating a delegate role without authorization (should fail)"""
# Create new user and grant delegate role
new_user = self.make_user('new_user')
self._make_assignment(self.project, new_user, self.role_contributor)
new_user_token = self.get_token(new_user)
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_DELEGATE,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(
url, method='POST', data=post_data, token=new_user_token
)
# Assert response
self.assertEqual(response.status_code, 403, msg=response.content)
def test_create_delegate_limit(self):
"""Test creating a delegate role with limit reached (should fail)"""
# Create new user and grant delegate role
new_user = self.make_user('new_user')
self._make_assignment(self.project, new_user, self.role_delegate)
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_DELEGATE,
'user': str(self.assign_user.sodar_uuid),
}
# NOTE: Post as owner
response = self.request_knox(url, method='POST', data=post_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
def test_create_delegate_limit_inherit(self):
"""Test creating a delegate role existing role for inherited owner"""
# Set up category owner
new_user = self.make_user('new_user')
self.cat_owner_as.user = new_user
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_DELEGATE,
'user': str(self.assign_user.sodar_uuid),
}
# NOTE: Post as owner
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 2
)
# Assert object
role_as = RoleAssignment.objects.filter(
project=self.project, role=self.role_delegate, user=self.assign_user
).first()
self.assertIsNotNone(role_as)
def test_create_delegate_category(self):
"""Test creating a non-owner role for category"""
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.category.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_DELEGATE,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response
self.assertEqual(response.status_code, 201, msg=response.content)
def test_create_role_existing(self):
"""Test creating a role for user already in the project"""
# Assert preconditions
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 1
)
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_CONTRIBUTOR,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and role status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 2
)
# Post again
post_data = {
'role': PROJECT_ROLE_GUEST,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 2
)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_create_remote(self):
"""Test creating a role for a remote project (should fail)"""
# Create source site and remote project
source_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_SOURCE,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
self._make_remote_project(
project_uuid=self.project.sodar_uuid,
project=self.project,
site=source_site,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_ROLES'],
)
# Assert preconditions
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 1
)
url = reverse(
'projectroles:api_role_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'role': PROJECT_ROLE_CONTRIBUTOR,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and role status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(
RoleAssignment.objects.filter(project=self.project).count(), 1
)
class TestRoleAssignmentUpdateAPIView(
RemoteSiteMixin, RemoteProjectMixin, TestCoreAPIViewsBase
):
"""Tests for RoleAssignmentUpdateAPIView"""
def setUp(self):
super().setUp()
self.assign_user = self.make_user('assign_user')
self.update_as = self._make_assignment(
self.project, self.assign_user, self.role_contributor
)
def test_put_role(self):
"""Test put() for role assignment updating"""
# Assert preconditions
self.assertEqual(RoleAssignment.objects.count(), 3)
url = reverse(
'projectroles:api_role_update',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
put_data = {
'role': PROJECT_ROLE_GUEST,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='PUT', data=put_data)
# Assert response and role status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(RoleAssignment.objects.count(), 3)
# Assert object content
self.update_as.refresh_from_db()
model_dict = model_to_dict(self.update_as)
expected = {
'id': self.update_as.pk,
'project': self.project.pk,
'role': self.role_guest.pk,
'user': self.assign_user.pk,
'sodar_uuid': self.update_as.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert API response
expected = {
'project': str(self.project.sodar_uuid),
'role': PROJECT_ROLE_GUEST,
'user': str(self.assign_user.sodar_uuid),
'sodar_uuid': str(self.update_as.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_put_delegate(self):
"""Test put() for delegate role assignment"""
url = reverse(
'projectroles:api_role_update',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
put_data = {
'role': PROJECT_ROLE_DELEGATE,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='PUT', data=put_data)
# Assert response
self.assertEqual(response.status_code, 200, msg=response.content)
# Assert object content
self.update_as.refresh_from_db()
model_dict = model_to_dict(self.update_as)
expected = {
'id': self.update_as.pk,
'project': self.project.pk,
'role': self.role_delegate.pk,
'user': self.assign_user.pk,
'sodar_uuid': self.update_as.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert API response
expected = {
'project': str(self.project.sodar_uuid),
'role': PROJECT_ROLE_DELEGATE,
'user': str(self.assign_user.sodar_uuid),
'sodar_uuid': str(self.update_as.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_put_owner(self):
"""Test put() for owner role assignment (should fail)"""
url = reverse(
'projectroles:api_role_update',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
put_data = {
'role': PROJECT_ROLE_OWNER,
'user': str(self.assign_user.sodar_uuid),
}
response = self.request_knox(url, method='PUT', data=put_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
def test_put_change_user(self):
"""Test put() with a different user (should fail)"""
new_user = self.make_user('new_user')
url = reverse(
'projectroles:api_role_update',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
put_data = {
'role': PROJECT_ROLE_GUEST,
'user': str(new_user.sodar_uuid),
}
response = self.request_knox(url, method='PUT', data=put_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
def test_patch_role(self):
"""Test patch() for role assignment updating"""
# Assert preconditions
self.assertEqual(RoleAssignment.objects.count(), 3)
url = reverse(
'projectroles:api_role_update',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
patch_data = {'role': PROJECT_ROLE_GUEST}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response and role status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(RoleAssignment.objects.count(), 3)
# Assert object content
self.update_as.refresh_from_db()
model_dict = model_to_dict(self.update_as)
expected = {
'id': self.update_as.pk,
'project': self.project.pk,
'role': self.role_guest.pk,
'user': self.assign_user.pk,
'sodar_uuid': self.update_as.sodar_uuid,
}
self.assertEqual(model_dict, expected)
# Assert API response
expected = {
'project': str(self.project.sodar_uuid),
'role': PROJECT_ROLE_GUEST,
'user': str(self.assign_user.sodar_uuid),
'sodar_uuid': str(self.update_as.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
def test_patch_change_user(self):
"""Test patch() with a different user (should fail)"""
new_user = self.make_user('new_user')
url = reverse(
'projectroles:api_role_update',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
patch_data = {'user': str(new_user.sodar_uuid)}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response
self.assertEqual(response.status_code, 400, msg=response.content)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_patch_role_remote(self):
"""Test patch() for updating a role in a remote project (should fail)"""
# Create source site and remote project
source_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_SOURCE,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
self._make_remote_project(
project_uuid=self.project.sodar_uuid,
project=self.project,
site=source_site,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_ROLES'],
)
url = reverse(
'projectroles:api_role_update',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
patch_data = {'role': PROJECT_ROLE_GUEST}
response = self.request_knox(url, method='PATCH', data=patch_data)
# Assert response and role status
self.assertEqual(response.status_code, 400, msg=response.content)
class TestRoleAssignmentDestroyAPIView(
RemoteSiteMixin, RemoteProjectMixin, TestCoreAPIViewsBase
):
"""Tests for RoleAssignmentDestroyAPIView"""
def setUp(self):
super().setUp()
self.assign_user = self.make_user('assign_user')
self.update_as = self._make_assignment(
self.project, self.assign_user, self.role_contributor
)
def test_delete_role(self):
"""Test delete for role assignment deletion"""
# Assert preconditions
self.assertEqual(RoleAssignment.objects.count(), 3)
url = reverse(
'projectroles:api_role_destroy',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
response = self.request_knox(url, method='DELETE')
# Assert response and role status
self.assertEqual(response.status_code, 204, msg=response.content)
self.assertEqual(RoleAssignment.objects.count(), 2)
self.assertEqual(
RoleAssignment.objects.filter(
project=self.project, user=self.assign_user
).count(),
0,
)
def test_delete_delegate_unauthorized(self):
"""Test delete for delegate deletion without perms (should fail)"""
new_user = self.make_user('new_user')
delegate_as = self._make_assignment(
self.project, new_user, self.role_delegate
)
# Assert preconditions
self.assertEqual(RoleAssignment.objects.count(), 4)
url = reverse(
'projectroles:api_role_destroy',
kwargs={'roleassignment': delegate_as.sodar_uuid},
)
# NOTE: Perform record as contributor user
token = self.get_token(self.assign_user)
response = self.request_knox(url, method='DELETE', token=token)
# Assert response and role status
self.assertEqual(response.status_code, 403, msg=response.content)
self.assertEqual(RoleAssignment.objects.count(), 4)
def test_delete_owner(self):
"""Test delete for owner deletion (should fail)"""
# Assert preconditions
self.assertEqual(RoleAssignment.objects.count(), 3)
url = reverse(
'projectroles:api_role_destroy',
kwargs={'roleassignment': self.owner_as.sodar_uuid},
)
response = self.request_knox(url, method='DELETE')
# Assert response and project status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(RoleAssignment.objects.count(), 3)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_delete_remote(self):
"""Test delete for a remote project (should fail)"""
# Create source site and remote project
source_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_SOURCE,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
self._make_remote_project(
project_uuid=self.project.sodar_uuid,
project=self.project,
site=source_site,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_ROLES'],
)
# Assert preconditions
self.assertEqual(RoleAssignment.objects.count(), 3)
url = reverse(
'projectroles:api_role_destroy',
kwargs={'roleassignment': self.update_as.sodar_uuid},
)
response = self.request_knox(url, method='DELETE')
# Assert response and role status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(RoleAssignment.objects.count(), 3)
class TestRoleAssignmentOwnerTransferAPIView(
RemoteSiteMixin, RemoteProjectMixin, TestCoreAPIViewsBase
):
"""Tests for RoleAssignmentOwnerTransferAPIView"""
def setUp(self):
super().setUp()
self.assign_user = self.make_user('assign_user')
def test_transfer_owner(self):
"""Test transferring ownership for a project"""
# Assign role to new user
self._make_assignment(
self.project, self.assign_user, self.role_contributor
)
# Assert preconditions
self.assertEqual(self.project.get_owner().user, self.user)
url = reverse(
'projectroles:api_role_owner_transfer',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'new_owner': self.assign_user.username,
'old_owner_role': self.role_contributor.name,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(self.project.get_owner().user, self.assign_user)
def test_transfer_owner_category(self):
"""Test transferring ownership for a category"""
# Assign role to new user
self._make_assignment(
self.category, self.assign_user, self.role_contributor
)
# Assert preconditions
self.assertEqual(self.category.get_owner().user, self.user)
url = reverse(
'projectroles:api_role_owner_transfer',
kwargs={'project': self.category.sodar_uuid},
)
post_data = {
'new_owner': self.assign_user.username,
'old_owner_role': self.role_contributor.name,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(self.category.get_owner().user, self.assign_user)
def test_transfer_owner_inherit(self):
"""Test transferring ownership to an inherited owner"""
# Assign role to new user
self._make_assignment(
self.project, self.assign_user, self.role_contributor
)
# Set alt owner to current project, make self.user inherited owner
alt_owner = self.make_user('alt_owner')
self.owner_as.user = alt_owner
self.owner_as.save()
# Assert preconditions
self.assertEqual(self.project.get_owner().user, alt_owner)
self.assertEqual(
self.project.get_owners(inherited_only=True)[0].user, self.user
)
url = reverse(
'projectroles:api_role_owner_transfer',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'new_owner': self.user.username,
'old_owner_role': self.role_contributor.name,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(self.project.get_owner().user, self.user)
old_owner_as = RoleAssignment.objects.get(
project=self.project, user=alt_owner
)
self.assertEqual(old_owner_as.role, self.role_contributor)
def test_transfer_owner_no_roles(self):
"""Test transferring ownership to user with no existing roles (should fail)"""
# NOTE: No role given to user
url = reverse(
'projectroles:api_role_owner_transfer',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'new_owner': self.assign_user.username,
'old_owner_role': self.role_contributor.name,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400, msg=response.content)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_transfer_remote(self):
"""Test transferring ownership for a remote project (should fail)"""
# Create source site and remote project
source_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_SOURCE,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
self._make_remote_project(
project_uuid=self.project.sodar_uuid,
project=self.project,
site=source_site,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_ROLES'],
)
# Assign role to new user
self._make_assignment(
self.project, self.assign_user, self.role_contributor
)
# Assert preconditions
self.assertEqual(self.project.get_owner().user, self.user)
url = reverse(
'projectroles:api_role_owner_transfer',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'new_owner': self.assign_user.username,
'old_owner_role': self.role_contributor.name,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and project status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(self.project.get_owner().user, self.user)
class TestProjectInviteListAPIView(ProjectInviteMixin, TestCoreAPIViewsBase):
"""Tests for ProjectInviteListAPIView"""
def setUp(self):
super().setUp()
# Create invites
self.invite = self._make_invite(
email=INVITE_USER_EMAIL,
project=self.project,
role=self.role_guest,
issuer=self.user,
message='',
secret=build_secret(),
)
self.invite2 = self._make_invite(
email=INVITE_USER2_EMAIL,
project=self.project,
role=self.role_contributor,
issuer=self.user,
message=INVITE_MESSAGE,
secret=build_secret(),
)
def test_get(self):
"""Test ProjectInviteListAPIView get()"""
url = reverse(
'projectroles:api_invite_list',
kwargs={'project': self.project.sodar_uuid},
)
response = self.request_knox(url, token=self.get_token(self.user))
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(len(response_data), 2)
expected = [
{
'email': INVITE_USER_EMAIL,
'project': str(self.project.sodar_uuid),
'role': self.role_guest.name,
'issuer': self.get_serialized_user(self.user),
'date_created': self.get_drf_datetime(self.invite.date_created),
'date_expire': self.get_drf_datetime(self.invite.date_expire),
'message': '',
'sodar_uuid': str(self.invite.sodar_uuid),
},
{
'email': INVITE_USER2_EMAIL,
'project': str(self.project.sodar_uuid),
'role': self.role_contributor.name,
'issuer': self.get_serialized_user(self.user),
'date_created': self.get_drf_datetime(
self.invite2.date_created
),
'date_expire': self.get_drf_datetime(self.invite2.date_expire),
'message': INVITE_MESSAGE,
'sodar_uuid': str(self.invite2.sodar_uuid),
},
]
self.assertEqual(response_data, expected)
def test_get_inactive(self):
"""Test get() with an inactive invite"""
self.invite.active = False
self.invite.save()
url = reverse(
'projectroles:api_invite_list',
kwargs={'project': self.project.sodar_uuid},
)
response = self.request_knox(url, token=self.get_token(self.user))
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(len(response_data), 1)
expected = [
{
'email': INVITE_USER2_EMAIL,
'project': str(self.project.sodar_uuid),
'role': self.role_contributor.name,
'issuer': self.get_serialized_user(self.user),
'date_created': self.get_drf_datetime(
self.invite2.date_created
),
'date_expire': self.get_drf_datetime(self.invite2.date_expire),
'message': INVITE_MESSAGE,
'sodar_uuid': str(self.invite2.sodar_uuid),
},
]
self.assertEqual(response_data, expected)
class TestProjectInviteCreateAPIView(
RemoteSiteMixin, RemoteProjectMixin, TestCoreAPIViewsBase
):
"""Tests for ProjectInviteCreateAPIView"""
def test_create(self):
"""Test creating a contributor invite for user"""
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': INVITE_USER_EMAIL,
'role': PROJECT_ROLE_CONTRIBUTOR,
'message': INVITE_MESSAGE,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and role status
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 1
)
# Assert data
invite = ProjectInvite.objects.first()
self.assertEqual(invite.email, INVITE_USER_EMAIL)
self.assertEqual(invite.role, self.role_contributor)
self.assertEqual(invite.issuer, self.user)
self.assertEqual(invite.message, INVITE_MESSAGE)
# Assert response
expected = {
'email': INVITE_USER_EMAIL,
'project': str(self.project.sodar_uuid),
'role': PROJECT_ROLE_CONTRIBUTOR,
'issuer': self.get_serialized_user(self.user),
'date_created': self.get_drf_datetime(invite.date_created),
'date_expire': self.get_drf_datetime(invite.date_expire),
'message': invite.message,
'sodar_uuid': str(invite.sodar_uuid),
}
self.assertEqual(json.loads(response.content), expected)
self.assertEqual(len(mail.outbox), 1)
def test_create_owner(self):
"""Test creating an invite for an owner role (should fail)"""
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': INVITE_USER_EMAIL,
'role': PROJECT_ROLE_OWNER,
'message': INVITE_MESSAGE,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and data
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
self.assertEqual(len(mail.outbox), 0)
def test_create_delegate(self):
"""Test creating an invite for an delegate role"""
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': INVITE_USER_EMAIL,
'role': PROJECT_ROLE_DELEGATE,
'message': INVITE_MESSAGE,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and data
self.assertEqual(response.status_code, 201, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 1
)
invite = ProjectInvite.objects.first()
self.assertEqual(invite.role, self.role_delegate)
self.assertEqual(len(mail.outbox), 1)
@override_settings(PROJECTROLES_DELEGATE_LIMIT=2)
def test_create_delegate_no_perms(self):
"""Test creating an delegate invite without perms (should fail)"""
del_user = self.make_user('delegate')
self._make_assignment(self.project, del_user, self.role_delegate)
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': INVITE_USER_EMAIL,
'role': PROJECT_ROLE_DELEGATE,
'message': INVITE_MESSAGE,
}
response = self.request_knox(
url, method='POST', data=post_data, token=self.get_token(del_user)
)
# Assert response and data
self.assertEqual(response.status_code, 403, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
self.assertEqual(len(mail.outbox), 0)
def test_create_delegate_limit(self):
"""Test creating an delegate invite with exceeded limit (should fail)"""
del_user = self.make_user('delegate')
self._make_assignment(self.project, del_user, self.role_delegate)
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': INVITE_USER_EMAIL,
'role': PROJECT_ROLE_DELEGATE,
'message': INVITE_MESSAGE,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and data
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
self.assertEqual(len(mail.outbox), 0)
def test_create_invalid_email(self):
"""Test creating an invite with invalid email (should fail)"""
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': 'NOT_AN_EMAIL!',
'role': PROJECT_ROLE_CONTRIBUTOR,
'message': INVITE_MESSAGE,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and data
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
self.assertEqual(len(mail.outbox), 0)
def test_create_existing_user(self):
"""Test creating an invite for an existing user (should fail)"""
user = self.make_user('new_user')
user.email = INVITE_USER_EMAIL
user.save()
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': INVITE_USER_EMAIL,
'role': PROJECT_ROLE_CONTRIBUTOR,
'message': INVITE_MESSAGE,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and role status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
self.assertEqual(len(mail.outbox), 0)
@override_settings(PROJECTROLES_SITE_MODE=SITE_MODE_TARGET)
def test_create_remote(self):
"""Test creating an invite for a remote project (should fail)"""
# Set up remote site and project
source_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_SOURCE,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
self._make_remote_project(
project_uuid=self.project.sodar_uuid,
project=self.project,
site=source_site,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_ROLES'],
)
# Assert preconditions
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
url = reverse(
'projectroles:api_invite_create',
kwargs={'project': self.project.sodar_uuid},
)
post_data = {
'email': INVITE_USER_EMAIL,
'role': PROJECT_ROLE_CONTRIBUTOR,
'message': INVITE_MESSAGE,
}
response = self.request_knox(url, method='POST', data=post_data)
# Assert response and role status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(
ProjectInvite.objects.filter(project=self.project).count(), 0
)
self.assertEqual(len(mail.outbox), 0)
class TestProjectInviteRevokeAPIView(ProjectInviteMixin, TestCoreAPIViewsBase):
"""Tests for ProjectInviteRevokeAPIView"""
def setUp(self):
super().setUp()
# Create invite
self.invite = self._make_invite(
email=INVITE_USER_EMAIL,
project=self.project,
role=self.role_contributor,
issuer=self.user,
)
def test_revoke(self):
"""Test revoking an invite"""
# Assert preconditions
self.assertEqual(self.invite.active, True)
url = reverse(
'projectroles:api_invite_revoke',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(url, method='POST')
# Assert response and invite status
self.assertEqual(response.status_code, 200, msg=response.content)
self.invite.refresh_from_db()
self.assertEqual(self.invite.active, False)
def test_revoke_inactive(self):
"""Test revoking an already inactive invite (should fail)"""
self.invite.active = False
self.invite.save()
url = reverse(
'projectroles:api_invite_revoke',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(url, method='POST')
# Assert response and invite status
self.assertEqual(response.status_code, 400, msg=response.content)
def test_revoke_delegate(self):
"""Test revoking a delegate invite with sufficient perms"""
self.invite.role = self.role_delegate
self.invite.save()
url = reverse(
'projectroles:api_invite_revoke',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(url, method='POST')
# Assert response and invite status
self.assertEqual(response.status_code, 200, msg=response.content)
self.invite.refresh_from_db()
self.assertEqual(self.invite.active, False)
def test_revoke_delegate_no_perms(self):
"""Test revoking a delegate invite without perms (should fail)"""
self.invite.role = self.role_delegate
self.invite.save()
delegate = self.make_user('delegate')
self._make_assignment(self.project, delegate, self.role_delegate)
url = reverse(
'projectroles:api_invite_revoke',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(
url, method='POST', token=self.get_token(delegate)
)
# Assert response and invite status
self.assertEqual(response.status_code, 403, msg=response.content)
self.invite.refresh_from_db()
self.assertEqual(self.invite.active, True)
def test_revoke_not_found(self):
"""Test revoking invite with invalid UUID"""
url = reverse(
'projectroles:api_invite_revoke',
kwargs={'projectinvite': INVALID_UUID},
)
response = self.request_knox(url, method='POST')
self.assertEqual(response.status_code, 404)
class TestProjectInviteResendAPIView(ProjectInviteMixin, TestCoreAPIViewsBase):
"""Tests for ProjectInviteResendAPIView"""
def setUp(self):
super().setUp()
# Create invite
self.invite = self._make_invite(
email=INVITE_USER_EMAIL,
project=self.project,
role=self.role_contributor,
issuer=self.user,
)
def test_resend(self):
"""Test resending an invite"""
# Assert preconditions
self.assertEqual(len(mail.outbox), 0)
url = reverse(
'projectroles:api_invite_resend',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(url, method='POST')
# Assert response and mail status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(len(mail.outbox), 1)
def test_resend_inactive(self):
"""Test resending an inactive invite (should fail)"""
self.invite.active = False
self.invite.save()
url = reverse(
'projectroles:api_invite_resend',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(url, method='POST')
# Assert response and mail status
self.assertEqual(response.status_code, 400, msg=response.content)
self.assertEqual(len(mail.outbox), 0)
def test_resend_delegate(self):
"""Test resending a delegate invite with sufficient perms"""
self.invite.role = self.role_delegate
self.invite.save()
url = reverse(
'projectroles:api_invite_resend',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(url, method='POST')
# Assert response and mail status
self.assertEqual(response.status_code, 200, msg=response.content)
self.assertEqual(len(mail.outbox), 1)
def test_resend_delegate_no_perms(self):
"""Test resending a delegate invite without perms (should fail)"""
self.invite.role = self.role_delegate
self.invite.save()
delegate = self.make_user('delegate')
self._make_assignment(self.project, delegate, self.role_delegate)
url = reverse(
'projectroles:api_invite_resend',
kwargs={'projectinvite': self.invite.sodar_uuid},
)
response = self.request_knox(
url, method='POST', token=self.get_token(delegate)
)
# Assert response and mail status
self.assertEqual(response.status_code, 403, msg=response.content)
self.assertEqual(len(mail.outbox), 0)
def test_resend_not_found(self):
"""Test resending invite with invalid UUID"""
url = reverse(
'projectroles:api_invite_resend',
kwargs={'projectinvite': INVALID_UUID},
)
response = self.request_knox(url, method='POST')
self.assertEqual(response.status_code, 404)
class TestUserListAPIView(TestCoreAPIViewsBase):
"""Tests for UserListAPIView"""
def setUp(self):
super().setUp()
# Create additional users
self.domain_user = self.make_user('domain_user@domain')
def test_get(self):
"""Test UserListAPIView get() as a regular user"""
url = reverse('projectroles:api_user_list')
response = self.request_knox(
url, token=self.get_token(self.domain_user)
)
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(len(response_data), 1) # System users not returned
expected = [
{
'username': self.domain_user.username,
'name': self.domain_user.name,
'email': self.domain_user.email,
'sodar_uuid': str(self.domain_user.sodar_uuid),
}
]
self.assertEqual(response_data, expected)
def test_get_superuser(self):
"""Test UserListAPIView get() as a superuser"""
url = reverse('projectroles:api_user_list')
response = self.request_knox(url) # Default token is for superuser
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
self.assertEqual(len(response_data), 2)
expected = [
{
'username': self.user.username,
'name': self.user.name,
'email': self.user.email,
'sodar_uuid': str(self.user.sodar_uuid),
},
{
'username': self.domain_user.username,
'name': self.domain_user.name,
'email': self.domain_user.email,
'sodar_uuid': str(self.domain_user.sodar_uuid),
},
]
self.assertEqual(response_data, expected)
class TestCurrentUserRetrieveAPIView(TestCoreAPIViewsBase):
"""Tests for CurrentUserRetrieveAPIView"""
def setUp(self):
super().setUp()
# Create additional users
self.domain_user = self.make_user('domain_user@domain')
def test_get(self):
"""Test CurrentUserRetrieveAPIView get() as a regular user"""
url = reverse('projectroles:api_user_current')
response = self.request_knox(
url, token=self.get_token(self.domain_user)
)
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
expected = {
'username': self.domain_user.username,
'name': self.domain_user.name,
'email': self.domain_user.email,
'sodar_uuid': str(self.domain_user.sodar_uuid),
}
self.assertEqual(response_data, expected)
def test_get_superuser(self):
"""Test CurrentUserRetrieveAPIView get() as superuser"""
url = reverse('projectroles:api_user_current')
response = self.request_knox(url)
# Assert response
self.assertEqual(response.status_code, 200)
response_data = json.loads(response.content)
expected = {
'username': self.user.username,
'name': self.user.name,
'email': self.user.email,
'sodar_uuid': str(self.user.sodar_uuid),
}
self.assertEqual(response_data, expected)
class TestAPIVersioning(TestCoreAPIViewsBase):
"""Tests for REST API view versioning using ProjectRetrieveAPIView"""
def setUp(self):
super().setUp()
self.url = reverse(
'projectroles:api_project_retrieve',
kwargs={'project': self.project.sodar_uuid},
)
def test_api_versioning(self):
"""Test SODAR API Access with correct version headers"""
response = self.request_knox(
self.url,
media_type=views_api.CORE_API_MEDIA_TYPE,
version=views_api.CORE_API_DEFAULT_VERSION,
)
self.assertEqual(response.status_code, 200)
def test_api_versioning_invalid_version(self):
"""Test SODAR API Access with unsupported version (should fail)"""
response = self.request_knox(
self.url,
media_type=views_api.CORE_API_MEDIA_TYPE,
version=CORE_API_VERSION_INVALID,
)
self.assertEqual(response.status_code, 406)
def test_api_versioning_invalid_media_type(self):
"""Test SODAR API Access with unsupported media type (should fail)"""
response = self.request_knox(
self.url,
media_type=CORE_API_MEDIA_TYPE_INVALID,
version=views_api.CORE_API_MEDIA_TYPE,
)
self.assertEqual(response.status_code, 406)
# TODO: To be updated once the legacy API view is redone for SODAR Core v1.0
class TestRemoteProjectGetAPIView(
ProjectMixin,
RoleAssignmentMixin,
RemoteSiteMixin,
RemoteProjectMixin,
SODARAPIViewTestMixin,
TestViewsBase,
):
"""Tests for remote project getting API view"""
media_type = views_api.CORE_API_MEDIA_TYPE
api_version = views_api.CORE_API_DEFAULT_VERSION
def setUp(self):
super().setUp()
# Set up projects
self.category = self._make_project(
'TestCategory', PROJECT_TYPE_CATEGORY, None
)
self.cat_owner_as = self._make_assignment(
self.category, self.user, self.role_owner
)
self.project = self._make_project(
'TestProject', PROJECT_TYPE_PROJECT, self.category
)
self.project_owner_as = self._make_assignment(
self.project, self.user, self.role_owner
)
# Create target site
self.target_site = self._make_site(
name=REMOTE_SITE_NAME,
url=REMOTE_SITE_URL,
mode=SITE_MODE_TARGET,
description=REMOTE_SITE_DESC,
secret=REMOTE_SITE_SECRET,
)
# Create remote project
self.remote_project = self._make_remote_project(
site=self.target_site,
project_uuid=self.project.sodar_uuid,
project=self.project,
level=SODAR_CONSTANTS['REMOTE_LEVEL_READ_INFO'],
)
self.remote_api = RemoteProjectAPI()
def test_get(self):
"""Test retrieving project data to the target site"""
response = self.client.get(
reverse(
'projectroles:api_remote_get',
kwargs={'secret': REMOTE_SITE_SECRET},
)
)
self.assertEqual(response.status_code, 200)
expected = self.remote_api.get_source_data(self.target_site)
response_dict = json.loads(response.content.decode('utf-8'))
self.assertEqual(response_dict, expected)
def test_get_invalid_secret(self):
"""Test retrieving project data with an invalid secret (should fail)"""
response = self.client.get(
reverse(
'projectroles:api_remote_get', kwargs={'secret': build_secret()}
)
)
self.assertEqual(response.status_code, 401)
| 35.166337
| 93
| 0.607577
| 11,402
| 106,765
| 5.443343
| 0.036309
| 0.058004
| 0.036317
| 0.040651
| 0.851688
| 0.823105
| 0.791815
| 0.77667
| 0.758543
| 0.742077
| 0
| 0.007696
| 0.288025
| 106,765
| 3,035
| 94
| 35.177924
| 0.808798
| 0.111553
| 0
| 0.669526
| 0
| 0
| 0.100968
| 0.029328
| 0
| 0
| 0
| 0.000329
| 0.109707
| 1
| 0.063205
| false
| 0.000903
| 0.008126
| 0.000451
| 0.086682
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
f46d4201935576f7c5b0f071b01e8b9a5b4caddc
| 2,945
|
py
|
Python
|
test/test_proportions_delta.py
|
quizlet/abracadabra
|
eda599bd02f14b96efdc521f53132d93c9100ede
|
[
"MIT"
] | 24
|
2020-06-12T16:12:32.000Z
|
2021-09-01T12:25:38.000Z
|
test/test_proportions_delta.py
|
quizlet/abracadabra
|
eda599bd02f14b96efdc521f53132d93c9100ede
|
[
"MIT"
] | 20
|
2020-06-12T06:26:08.000Z
|
2022-03-12T00:57:51.000Z
|
test/test_proportions_delta.py
|
quizlet/abracadabra
|
eda599bd02f14b96efdc521f53132d93c9100ede
|
[
"MIT"
] | 4
|
2020-06-14T12:14:11.000Z
|
2021-05-28T15:36:44.000Z
|
import pytest
from abra import Experiment, HypothesisTest
def test_large_proportions_delta_expermiment(proportions_data_large):
exp = Experiment(proportions_data_large, name='proportions-test')
# run 'A/A' test
test_aa = HypothesisTest(
metric='metric',
control='A', variation='A',
hypothesis='larger',
inference_method='proportions_delta'
)
results_aa = exp.run_test(test_aa)
assert results_aa.test_statistic == 'z'
assert not results_aa.accept_hypothesis
# run A/B test
test_ab = HypothesisTest(
metric='metric',
control='A', variation='B',
hypothesis='larger',
inference_method='proportions_delta'
)
results_ab = exp.run_test(test_ab)
assert results_ab.test_statistic == 'z'
assert results_ab.accept_hypothesis
def test_proportions_delta_ab_unequal(proportions_data_small):
exp = Experiment(proportions_data_small, name='proportions-test')
# run A/B test
test_ab = HypothesisTest(
metric='metric',
control='A', variation='F',
hypothesis='unequal',
inference_method='proportions_delta'
)
results_ab = exp.run_test(test_ab)
assert results_ab.test_statistic == 'z'
assert results_ab.accept_hypothesis
def test_proportions_delta_ab_larger(proportions_data_small):
exp = Experiment(proportions_data_small, name='proportions-test')
# run A/B test
test_ab = HypothesisTest(
metric='metric',
control='A', variation='F',
hypothesis='larger',
inference_method='proportions_delta'
)
results_ab = exp.run_test(test_ab)
assert results_ab.accept_hypothesis
def test_proportions_delta_ab_smaller(proportions_data_small):
exp = Experiment(proportions_data_small, name='proportions-test')
# run A/B test
test_ab = HypothesisTest(
metric='metric',
control='A', variation='F',
hypothesis='smaller',
inference_method='proportions_delta'
)
results_ab = exp.run_test(test_ab)
assert not results_ab.accept_hypothesis
def test_proportions_delta_aa(proportions_data_small):
exp = Experiment(proportions_data_small, name='proportions-test')
# run A/A test
test_aa = HypothesisTest(
metric='metric',
control='A', variation='A',
hypothesis='larger',
inference_method='proportions_delta'
)
results_aa = exp.run_test(test_aa)
assert not results_aa.accept_hypothesis
def test_proportions_delta_experiment_t(proportions_data_small):
"""Small sample sizes defautl to t-tests"""
exp = Experiment(proportions_data_small.sample(29), name='proportions-test')
test_aa = HypothesisTest(
metric='metric',
control='A', variation='A',
hypothesis='unequal',
inference_method='means_delta'
)
results_aa = exp.run_test(test_aa)
assert results_aa.test_statistic == 't'
| 29.45
| 80
| 0.69236
| 352
| 2,945
| 5.482955
| 0.127841
| 0.058031
| 0.103627
| 0.119689
| 0.846632
| 0.829534
| 0.785492
| 0.785492
| 0.760622
| 0.760622
| 0
| 0.000855
| 0.206112
| 2,945
| 100
| 81
| 29.45
| 0.824636
| 0.040068
| 0
| 0.684932
| 0
| 0
| 0.111466
| 0
| 0
| 0
| 0
| 0
| 0.136986
| 1
| 0.082192
| false
| 0
| 0.027397
| 0
| 0.109589
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
f479e4c7564b46ceb9cbf0369fdeb3cac10260f7
| 4,274
|
py
|
Python
|
tests/Metrics/test_recall.py
|
Neklaustares-tPtwP/torchflare
|
7af6b01ef7c26f0277a041619081f6df4eb1e42c
|
[
"Apache-2.0"
] | 1
|
2021-09-14T08:38:05.000Z
|
2021-09-14T08:38:05.000Z
|
tests/Metrics/test_recall.py
|
weidao-Shi/torchflare
|
3c55b5a0761f2e85dd6da95767c6ec03f0f5baad
|
[
"Apache-2.0"
] | null | null | null |
tests/Metrics/test_recall.py
|
weidao-Shi/torchflare
|
3c55b5a0761f2e85dd6da95767c6ec03f0f5baad
|
[
"Apache-2.0"
] | 1
|
2021-08-06T19:24:43.000Z
|
2021-08-06T19:24:43.000Z
|
# flake8: noqa
import warnings
import pytest
import torch
from sklearn.exceptions import UndefinedMetricWarning
from sklearn.metrics import recall_score
from torchflare.metrics.recall_meter import Recall
from torchflare.metrics.meters import _BaseInputHandler
torch.manual_seed(42)
def test_binary_inputs():
def _test(num_classes, threshold, multilabel, average):
rc = Recall(num_classes=num_classes, threshold=threshold, multilabel=multilabel, average=average,)
outputs = torch.randn(100, 1)
targets = torch.randint(0, 2, size=(100,))
bs = _BaseInputHandler(num_classes=num_classes, average=average, threshold=0.5, multilabel=multilabel,)
np_outputs, np_targets = bs._compute(outputs=outputs, targets=targets)
rc.accumulate(outputs=outputs, targets=targets)
rec_val = rc.value
assert rc.case_type == "binary"
rec_skm = recall_score(np_targets.numpy(), np_outputs.numpy(), average="binary")
assert rec_skm == pytest.approx(rec_val.item())
rc.reset()
bs = 16
iters = targets.shape[0] // bs + 1
for i in range(iters):
idx = i * bs
rc.accumulate(outputs=outputs[idx : idx + bs], targets=targets[idx : idx + bs])
m_rc = rc.value
assert rec_skm == pytest.approx(m_rc.item())
for _ in range(10):
_test(num_classes=2, threshold=0.5, multilabel=False, average="macro")
_test(num_classes=2, threshold=0.5, multilabel=False, average="micro")
def test_multiclass_inputs():
def _test(num_classes, threshold, multilabel, average):
rc = Recall(num_classes=num_classes, threshold=threshold, multilabel=multilabel, average=average,)
outputs = torch.randn(100, 4)
targets = torch.randint(0, 4, size=(100,))
bs = _BaseInputHandler(num_classes=num_classes, average=average, threshold=0.5, multilabel=multilabel,)
np_outputs, np_targets = bs._compute(outputs=outputs, targets=targets)
rc.accumulate(outputs=outputs, targets=targets)
rec_val = rc.value
assert rc.case_type == "multiclass"
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=UndefinedMetricWarning)
rec_skm = recall_score(np_targets.numpy(), np_outputs.numpy(), average=average)
assert rec_skm == pytest.approx(rec_val.item())
rc.reset()
bs = 16
iters = targets.shape[0] // bs + 1
for i in range(iters):
idx = i * bs
rc.accumulate(outputs=outputs[idx : idx + bs], targets=targets[idx : idx + bs])
rec_m = rc.value
assert rec_skm == pytest.approx(rec_m.item())
for _ in range(10):
_test(num_classes=4, threshold=0.5, multilabel=False, average="macro")
_test(num_classes=4, threshold=0.5, multilabel=False, average="micro")
def test_multilabel_inputs():
def _test(num_classes, threshold, multilabel, average):
rc = Recall(num_classes=num_classes, threshold=threshold, multilabel=multilabel, average=average,)
outputs = torch.randn(100, 4)
targets = torch.randint(0, 2, size=(100, 4))
bs = _BaseInputHandler(num_classes=num_classes, average=average, threshold=0.5, multilabel=multilabel,)
np_outputs, np_targets = bs._compute(outputs=outputs, targets=targets)
rc.accumulate(outputs=outputs, targets=targets)
rec_val = rc.value
assert rc.case_type == "multilabel"
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=UndefinedMetricWarning)
rec_skm = recall_score(np_targets, np_outputs, average=average)
assert rec_skm == pytest.approx(rec_val.item())
rc.reset()
bs = 16
iters = targets.shape[0] // bs + 1
for i in range(iters):
idx = i * bs
rc.accumulate(
outputs=outputs[idx : idx + bs], targets=targets[idx : idx + bs],
)
m_rc = rc.value
assert rec_skm == pytest.approx(m_rc.item())
for _ in range(10):
_test(num_classes=4, threshold=0.5, multilabel=True, average="macro")
_test(num_classes=4, threshold=0.5, multilabel=True, average="micro")
| 33.920635
| 111
| 0.654422
| 536
| 4,274
| 5.050373
| 0.141791
| 0.077577
| 0.046546
| 0.069819
| 0.878833
| 0.878833
| 0.877724
| 0.85556
| 0.85556
| 0.846694
| 0
| 0.022175
| 0.229761
| 4,274
| 125
| 112
| 34.192
| 0.800122
| 0.002808
| 0
| 0.614458
| 0
| 0
| 0.017371
| 0
| 0
| 0
| 0
| 0
| 0.108434
| 1
| 0.072289
| false
| 0
| 0.084337
| 0
| 0.156627
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
be8915c20c303761d43a0098702f7e241e75e9c4
| 40
|
py
|
Python
|
lf3py/di/__init__.py
|
rog-works/lf3py
|
e89937f7aa133ed54d85764f06101ab9abf6b960
|
[
"CNRI-Python"
] | null | null | null |
lf3py/di/__init__.py
|
rog-works/lf3py
|
e89937f7aa133ed54d85764f06101ab9abf6b960
|
[
"CNRI-Python"
] | 48
|
2020-12-19T13:47:26.000Z
|
2021-01-07T22:27:56.000Z
|
lf3py/di/__init__.py
|
rog-works/lf3py
|
e89937f7aa133ed54d85764f06101ab9abf6b960
|
[
"CNRI-Python"
] | null | null | null |
from lf3py.di.di import DI # noqa F401
| 20
| 39
| 0.725
| 8
| 40
| 3.625
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0.2
| 40
| 1
| 40
| 40
| 0.78125
| 0.225
| 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
| 1
| 0
|
0
| 6
|
be995dc30a4b39d65ba03829daf98d9b834c9449
| 37,788
|
py
|
Python
|
tests/unittests/plotting/test_plotly_backend.py
|
obilaniu/orion
|
bc886daf791d66490b59e43657f6f6db45d34ea8
|
[
"BSD-3-Clause"
] | 1
|
2021-04-10T16:18:03.000Z
|
2021-04-10T16:18:03.000Z
|
tests/unittests/plotting/test_plotly_backend.py
|
obilaniu/orion
|
bc886daf791d66490b59e43657f6f6db45d34ea8
|
[
"BSD-3-Clause"
] | null | null | null |
tests/unittests/plotting/test_plotly_backend.py
|
obilaniu/orion
|
bc886daf791d66490b59e43657f6f6db45d34ea8
|
[
"BSD-3-Clause"
] | null | null | null |
"""Collection of tests for :mod:`orion.plotting.backend_plotly`."""
import copy
import numpy
import pandas
import plotly
import pytest
import orion.client
from orion.analysis.partial_dependency_utils import partial_dependency_grid
from orion.core.worker.experiment import Experiment
from orion.plotting.base import (
lpi,
parallel_coordinates,
partial_dependencies,
rankings,
regret,
regrets,
)
from orion.testing import create_experiment
from orion.testing.plotting import (
assert_lpi_plot,
assert_parallel_coordinates_plot,
assert_partial_dependencies_plot,
assert_rankings_plot,
assert_regret_plot,
assert_regrets_plot,
)
config = dict(
name="experiment-name",
space={"x": "uniform(0, 200)"},
metadata={
"user": "test-user",
"orion_version": "XYZ",
"VCS": {
"type": "git",
"is_dirty": False,
"HEAD_sha": "test",
"active_branch": None,
"diff_sha": "diff",
},
},
version=1,
pool_size=1,
max_trials=10,
working_dir="",
algorithms={"random": {"seed": 1}},
producer={"strategy": "NoParallelStrategy"},
)
trial_config = {
"experiment": 0,
"status": "completed",
"worker": None,
"start_time": None,
"end_time": None,
"heartbeat": None,
"results": [],
"params": [],
}
def mock_space(x="uniform(0, 6)", y="uniform(0, 3)", **kwargs):
"""Build a mocked space"""
mocked_config = copy.deepcopy(config)
mocked_config["space"] = {"x": x}
if y is not None:
mocked_config["space"]["y"] = y
mocked_config["space"].update(kwargs)
return mocked_config
def mock_experiment(
monkeypatch, ids=None, x=None, y=None, z=None, objectives=None, status=None
):
"""Mock experiment to_pandas to return given data (or default one)"""
if ids is None:
ids = ["a", "b", "c", "d"]
if x is None:
x = [0, 1, 2, 4]
if y is None:
y = [3, 2, 0, 1]
if objectives is None:
objectives = [0.1, 0.2, 0.3, 0.5]
if status is None:
status = ["completed", "completed", "completed", "completed"]
data = {
"id": ids,
"x": x,
"objective": objectives,
"status": status,
"suggested": ids,
}
if not isinstance(y, str):
data["y"] = y
if z is not None:
data["z"] = z
def to_pandas(self, with_evc_tree=False):
return pandas.DataFrame(data=data)
monkeypatch.setattr(Experiment, "to_pandas", to_pandas)
def mock_experiment_with_random_to_pandas(monkeypatch, status=None, unbalanced=False):
def to_pandas(self, with_evc_tree=False):
if unbalanced:
N = numpy.random.randint(5, 15)
elif status is not None:
N = len(status)
else:
N = 10
ids = numpy.arange(N)
x = numpy.random.normal(0, 0.1, size=N)
y = numpy.random.normal(0, 0.1, size=N)
objectives = numpy.random.normal(0, 0.1, size=N)
if status is None:
exp_status = ["completed"] * N
else:
exp_status = status
data = pandas.DataFrame(
data={
"id": ids,
"x": x,
"y": y,
"objective": objectives,
"status": exp_status,
"suggested": ids,
}
)
return data
monkeypatch.setattr(Experiment, "to_pandas", to_pandas)
def mock_model():
"""Return a mocked regressor which just predict iterated integers"""
class Model:
"""Mocked Regressor"""
def __init__(self):
self.i = 0
def predict(self, data):
"""Returns counting of predictions requested."""
data = numpy.arange(data.shape[0]) + self.i
self.i += data.shape[0]
return data # + numpy.random.normal(0, self.i, size=data.shape[0])
return Model()
def mock_train_regressor(monkeypatch, assert_model=None, assert_model_kwargs=None):
"""Mock the train_regressor to return the mocked regressor instead"""
def train_regressor(model, data, **kwargs):
"""Return the mocked model, and then model argument if requested"""
if assert_model:
assert model == assert_model
if assert_model_kwargs:
assert kwargs == assert_model_kwargs
return mock_model()
monkeypatch.setattr(
"orion.analysis.partial_dependency_utils.train_regressor", train_regressor
)
@pytest.mark.usefixtures("version_XYZ")
class TestLPI:
"""Tests the ``lpi()`` method provided by the plotly backend"""
def test_requires_argument(self):
"""Tests that the experiment data are required."""
with pytest.raises(ValueError):
lpi(None)
def test_returns_plotly_object(self):
"""Tests that the plotly backend returns a plotly object"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = lpi(experiment, model_kwargs=dict(random_state=1))
assert type(plot) is plotly.graph_objects.Figure
def test_graph_layout(self, monkeypatch):
"""Tests the layout of the plot"""
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = lpi(experiment, model_kwargs=dict(random_state=1))
df = experiment.to_pandas()
assert df["x"].tolist() == [0, 1, 2, 4]
assert df["y"].tolist() == [3, 2, 0, 1]
assert df["objective"].tolist() == [0.1, 0.2, 0.3, 0.5]
assert_lpi_plot(plot, dims=["x", "y"])
def test_experiment_worker_as_parameter(self, monkeypatch):
"""Tests that ``Experiment`` is a valid parameter"""
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
experiment,
_,
):
plot = lpi(experiment, model_kwargs=dict(random_state=1))
assert_lpi_plot(plot, dims=["x", "y"])
def test_ignore_uncompleted_statuses(self, monkeypatch):
"""Tests that uncompleted statuses are ignored"""
config = mock_space()
mock_experiment(
monkeypatch,
ids="abcdefgh",
x=[0, 0, 0, 1, 0, 2, 0, 3],
y=[1, 0, 0, 2, 0, 0, 0, 3],
objectives=[0.1, None, None, 0.2, None, 0.3, None, 0.5],
status=[
"completed",
"new",
"reserved",
"completed",
"broken",
"completed",
"interrupted",
"completed",
],
)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = lpi(experiment)
assert_lpi_plot(plot, dims=["x", "y"])
def test_multidim(self, monkeypatch):
"""Tests that dimensions with shape > 1 are flattened properly"""
config = mock_space(y="uniform(0, 3, shape=2)")
mock_experiment(monkeypatch, y=[[3, 3], [2, 3], [1, 2], [0, 3]])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = lpi(experiment, model_kwargs=dict(random_state=1))
assert_lpi_plot(plot, dims=["x", "y[0]", "y[1]"])
def test_fidelity(self, monkeypatch):
"""Tests that fidelity is supported"""
config = mock_space(y="fidelity(1, 200, base=3)")
mock_experiment(monkeypatch, y=[1, 3 ** 2, 1, 3 ** 4])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = lpi(experiment, model_kwargs=dict(random_state=1))
assert_lpi_plot(plot, dims=["x", "y"])
def test_categorical(self, monkeypatch):
"""Tests that categorical is supported"""
config = mock_space(y='choices(["a", "b", "c"])')
mock_experiment(monkeypatch, y=["c", "c", "a", "b"])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = lpi(experiment, model_kwargs=dict(random_state=1))
assert_lpi_plot(plot, dims=["x", "y"])
def test_categorical_multidim(self, monkeypatch):
"""Tests that multidim categorical is supported"""
config = mock_space(y='choices(["a", "b", "c"], shape=3)')
mock_experiment(
monkeypatch,
y=[["c", "b", "a"], ["c", "a", "c"], ["a", "b", "a"], ["c", "b", "b"]],
)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = lpi(experiment, model_kwargs=dict(random_state=1))
assert_lpi_plot(plot, dims=["x", "y[0]", "y[1]", "y[2]"])
@pytest.mark.usefixtures("version_XYZ")
class TestParallelCoordinates:
"""Tests the ``parallel_coordinates()`` method provided by the plotly backend"""
def test_requires_argument(self):
"""Tests that the experiment data are required."""
with pytest.raises(ValueError):
parallel_coordinates(None)
def test_returns_plotly_object(self):
"""Tests that the plotly backend returns a plotly object"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = parallel_coordinates(experiment)
assert type(plot) is plotly.graph_objects.Figure
def test_graph_layout(self):
"""Tests the layout of the plot"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = parallel_coordinates(experiment)
assert_parallel_coordinates_plot(plot, order=["x", "loss"])
def test_experiment_worker_as_parameter(self):
"""Tests that ``Experiment`` is a valid parameter"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
experiment,
_,
):
plot = parallel_coordinates(experiment)
assert_parallel_coordinates_plot(plot, order=["x", "loss"])
def test_ignore_uncompleted_statuses(self):
"""Tests that uncompleted statuses are ignored"""
with create_experiment(config, trial_config) as (_, _, experiment):
plot = parallel_coordinates(experiment)
assert_parallel_coordinates_plot(plot, order=["x", "loss"])
def test_unsupported_order_key(self):
"""Tests that unsupported order keys are rejected"""
with create_experiment(config, trial_config) as (_, _, experiment):
with pytest.raises(ValueError):
parallel_coordinates(experiment, order=["unsupported"])
def test_order_columns(self):
"""Tests that columns are sorted according to ``order``"""
multidim_config = copy.deepcopy(config)
for k in "yzutv":
multidim_config["space"][k] = "uniform(0, 200)"
with create_experiment(multidim_config, trial_config) as (_, _, experiment):
plot = parallel_coordinates(experiment, order="vzyx")
assert_parallel_coordinates_plot(plot, order=["v", "z", "y", "x", "loss"])
def test_multidim(self):
"""Tests that dimensions with shape > 1 are flattened properly"""
multidim_config = copy.deepcopy(config)
multidim_config["space"]["y"] = "uniform(0, 200, shape=4)"
with create_experiment(multidim_config, trial_config) as (_, _, experiment):
plot = parallel_coordinates(experiment)
assert_parallel_coordinates_plot(
plot, order=["x", "y[0]", "y[1]", "y[2]", "y[3]", "loss"]
)
def test_fidelity(self):
"""Tests that fidelity is set to first column by default"""
fidelity_config = copy.deepcopy(config)
fidelity_config["space"]["z"] = "fidelity(1, 200, base=3)"
with create_experiment(fidelity_config, trial_config) as (_, _, experiment):
plot = parallel_coordinates(experiment)
assert_parallel_coordinates_plot(plot, order=["z", "x", "loss"])
def test_categorical(self):
"""Tests that categorical is supported"""
categorical_config = copy.deepcopy(config)
categorical_config["space"]["z"] = 'choices(["a", "b", "c"])'
with create_experiment(categorical_config, trial_config) as (_, _, experiment):
plot = parallel_coordinates(experiment)
assert_parallel_coordinates_plot(plot, order=["x", "z", "loss"])
def test_categorical_multidim(self):
"""Tests that multidim categorical is supported"""
categorical_config = copy.deepcopy(config)
categorical_config["space"]["z"] = 'choices(["a", "b", "c"], shape=3)'
with create_experiment(categorical_config, trial_config) as (_, _, experiment):
plot = parallel_coordinates(experiment)
assert_parallel_coordinates_plot(
plot, order=["x", "z[0]", "z[1]", "z[2]", "loss"]
)
@pytest.mark.usefixtures("version_XYZ")
class TestPartialDependencies:
"""Tests the ``partial_dependencies()`` method provided by the plotly backend"""
def test_returns_plotly_object(self, monkeypatch):
"""Tests that the plotly backend returns a plotly object"""
mock_train_regressor(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert type(plot) is plotly.graph_objects.Figure
def test_graph_layout(self, monkeypatch):
"""Tests the layout of the plot"""
mock_train_regressor(monkeypatch)
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
df = experiment.to_pandas()
assert df["x"].tolist() == [0, 1, 2, 4]
assert df["y"].tolist() == [3, 2, 0, 1]
assert df["objective"].tolist() == [0.1, 0.2, 0.3, 0.5]
assert_partial_dependencies_plot(plot, dims=["x", "y"])
def test_ignore_uncompleted_statuses(self, monkeypatch):
"""Tests that uncompleted statuses are ignored"""
mock_train_regressor(monkeypatch)
config = mock_space()
mock_experiment(
monkeypatch,
ids="abcdefgh",
x=[0, 0, 0, 1, 0, 2, 0, 3],
y=[1, 0, 0, 2, 0, 0, 0, 3],
objectives=[0.1, None, None, 0.2, None, 0.3, None, 0.5],
status=[
"completed",
"new",
"reserved",
"completed",
"broken",
"completed",
"interrupted",
"completed",
],
)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(experiment, n_grid_points=5)
assert_partial_dependencies_plot(plot, dims=["x", "y"])
def test_multidim(self, monkeypatch):
"""Tests that dimensions with shape > 1 are flattened properly"""
mock_train_regressor(monkeypatch)
config = mock_space(y="uniform(0, 3, shape=2)")
mock_experiment(monkeypatch, y=[[3, 3], [2, 3], [1, 2], [0, 3]])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert_partial_dependencies_plot(plot, dims=["x", "y[0]", "y[1]"])
def test_fidelity(self, monkeypatch):
"""Tests that fidelity is supported"""
mock_train_regressor(monkeypatch)
config = mock_space(y="fidelity(1, 200, base=3)")
mock_experiment(monkeypatch, y=[1, 3 ** 2, 1, 3 ** 4])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert_partial_dependencies_plot(plot, dims=["x", "y"], log_dims=["y"])
def test_categorical(self, monkeypatch):
"""Tests that categorical is supported"""
mock_train_regressor(monkeypatch)
config = mock_space(y='choices(["a", "b", "c"])')
mock_experiment(monkeypatch, y=["c", "c", "a", "b"])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
# There is only 3 categories, so test must be adjusted accordingly.
assert_partial_dependencies_plot(
plot, dims=["x", "y"], n_grid_points={"x": 5, "y": 3}
)
def test_categorical_multidim(self, monkeypatch):
"""Tests that multidim categorical is supported"""
mock_train_regressor(monkeypatch)
config = mock_space(y='choices(["a", "b", "c"], shape=3)')
mock_experiment(
monkeypatch,
y=[["c", "b", "a"], ["c", "a", "c"], ["a", "b", "a"], ["c", "b", "b"]],
)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert_partial_dependencies_plot(
plot,
dims=["x", "y[0]", "y[1]", "y[2]"],
n_grid_points={"x": 5, "y[0]": 3, "y[1]": 3, "y[2]": 3},
)
def test_logarithmic_scales_first(self, monkeypatch):
"""Test that log dims are turn to log scale
Test first dim specifically because special xaxis name for first dim.
"""
mock_train_regressor(monkeypatch)
config = mock_space(x="loguniform(0.001, 1)", z="uniform(0, 1)")
mock_experiment(monkeypatch, x=[0.001, 0.1, 0.01, 1], z=[0, 0.1, 0.2, 0.5])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert_partial_dependencies_plot(
plot, dims=["x", "y", "z"], n_grid_points=5, log_dims=["x"]
)
def test_logarithmic_scales_any_dim(self, monkeypatch):
"""Test that log dims are turn to log scale"""
mock_train_regressor(monkeypatch)
config = mock_space(y="loguniform(0.001, 1)", z="uniform(0, 1)")
mock_experiment(monkeypatch, y=[0.001, 0.1, 0.01, 1], z=[0, 0.1, 0.2, 0.5])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert_partial_dependencies_plot(
plot, dims=["x", "y", "z"], n_grid_points=5, log_dims=["y"]
)
def test_int_logarithmic_scales(self, monkeypatch):
"""Test that int log dims are turn to log scale"""
mock_train_regressor(monkeypatch)
config = mock_space(y="loguniform(1, 1000, discrete=True)", z="uniform(0, 1)")
mock_experiment(monkeypatch, y=[1, 10, 100, 1000], z=[0, 0.1, 0.2, 0.5])
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert_partial_dependencies_plot(
plot, dims=["x", "y", "z"], n_grid_points=5, log_dims=["y"]
)
def test_one_param(self, monkeypatch):
"""Test ploting a space with only 1 dim"""
mock_train_regressor(monkeypatch)
config = mock_space(y=None)
mock_experiment(monkeypatch, y="drop")
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment, n_grid_points=5, model_kwargs=dict(random_state=1)
)
assert_partial_dependencies_plot(plot, dims=["x"], n_grid_points=5)
def test_select_params(self, monkeypatch):
"""Test selecting subset"""
mock_train_regressor(monkeypatch)
config = mock_space(z="uniform(0, 1)")
mock_experiment(monkeypatch, z=[0, 0.1, 0.2, 0.5])
for params in [["x"], ["x", "y"], ["y", "z"]]:
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment,
params=params,
n_grid_points=5,
model_kwargs=dict(random_state=1),
)
assert_partial_dependencies_plot(plot, dims=params, n_grid_points=5)
def test_custom_smoothing(self, monkeypatch):
"""Test changing smoothing value"""
mock_train_regressor(monkeypatch)
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment,
n_grid_points=5,
model_kwargs=dict(random_state=1),
smoothing=1.2,
)
with pytest.raises(AssertionError):
assert_partial_dependencies_plot(plot, dims=["x", "y"], n_grid_points=5)
assert_partial_dependencies_plot(
plot, dims=["x", "y"], n_grid_points=5, smoothing=1.2
)
def test_custom_n_grid_points(self, monkeypatch):
"""Test changing n_grid_points value"""
mock_train_regressor(monkeypatch)
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment,
n_grid_points=10,
model_kwargs=dict(random_state=1),
)
with pytest.raises(AssertionError):
assert_partial_dependencies_plot(plot, dims=["x", "y"], n_grid_points=5)
assert_partial_dependencies_plot(plot, dims=["x", "y"], n_grid_points=10)
def test_custom_n_samples(self, monkeypatch):
"""Test changing n_samples value"""
mock_train_regressor(monkeypatch)
config = mock_space()
mock_experiment(monkeypatch)
PARAMS = ["x", "y"]
N_SAMPLES = numpy.random.randint(20, 50)
def mock_partial_dependency_grid(space, model, params, samples, n_points):
print(samples)
assert samples.shape == (N_SAMPLES, len(PARAMS))
return partial_dependency_grid(space, model, params, samples, n_points)
monkeypatch.setattr(
"orion.analysis.partial_dependency_utils.partial_dependency_grid",
mock_partial_dependency_grid,
)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment,
n_grid_points=10,
model_kwargs=dict(random_state=1),
n_samples=N_SAMPLES,
)
def test_custom_colorscale(self, monkeypatch):
"""Test changing colorscale"""
mock_train_regressor(monkeypatch)
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment,
n_grid_points=5,
colorscale="Viridis",
model_kwargs=dict(random_state=1),
)
with pytest.raises(AssertionError):
assert_partial_dependencies_plot(
plot, dims=["x", "y"], n_grid_points=5, custom_colorscale=False
)
assert_partial_dependencies_plot(
plot, dims=["x", "y"], n_grid_points=5, custom_colorscale=True
)
def test_custom_model(self, monkeypatch):
"""Test changing type of regression model"""
mock_train_regressor(monkeypatch, assert_model="BaggingRegressor")
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment,
n_grid_points=5,
model="BaggingRegressor",
model_kwargs=dict(random_state=1),
)
def test_custom_model_kwargs(self, monkeypatch):
"""Test changing arguments of regression model"""
mock_train_regressor(monkeypatch, assert_model_kwargs=dict(random_state=1))
config = mock_space()
mock_experiment(monkeypatch)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = partial_dependencies(
experiment,
n_grid_points=5,
model_kwargs=dict(random_state=1),
)
@pytest.mark.usefixtures("version_XYZ")
class TestRankings:
"""Tests the ``rankings()`` method provided by the plotly backend"""
def test_requires_argument(self):
"""Tests that the experiment data are required."""
with pytest.raises(ValueError):
rankings(None)
def test_returns_plotly_object(self, monkeypatch):
"""Tests that the plotly backend returns a plotly object"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = rankings([experiment, experiment])
assert type(plot) is plotly.graph_objects.Figure
def test_graph_layout(self, monkeypatch):
"""Tests the layout of the plot"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = rankings([experiment])
assert_rankings_plot(plot, [f"{experiment.name}-v{experiment.version}"])
def test_list_of_experiments(self, monkeypatch):
"""Tests the rankings with list of experiments"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
child = orion.client.create_experiment(
experiment.name, branching={"branch_to": "child"}
)
plot = rankings([experiment, child])
# Exps are sorted alphabetically by names.
assert_rankings_plot(
plot, [f"{exp.name}-v{exp.version}" for exp in [child, experiment]]
)
def test_list_of_experiments_name_conflict(self, monkeypatch):
"""Tests the rankings with list of experiments with the same name"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
child = orion.client.create_experiment(
experiment.name, branching={"branch_to": experiment.name}
)
assert child.name == experiment.name
assert child.version == experiment.version + 1
plot = rankings([experiment, child])
# Exps are sorted alphabetically by names.
assert_rankings_plot(
plot, [f"{exp.name}-v{exp.version}" for exp in [experiment, child]]
)
def test_dict_of_experiments(self, monkeypatch):
"""Tests the rankings with renamed experiments"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = rankings({"exp-1": experiment, "exp-2": experiment})
assert_rankings_plot(plot, ["exp-1", "exp-2"])
def test_list_of_dict_of_experiments(self, monkeypatch):
"""Tests the rankings with avg of competitions"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = rankings(
[{"exp-1": experiment, "exp-2": experiment} for _ in range(10)]
)
assert_rankings_plot(plot, ["exp-1", "exp-2"], with_avg=True)
def test_dict_of_list_of_experiments(self, monkeypatch):
"""Tests the rankings with avg of experiments separated in lists"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = rankings({"exp-1": [experiment] * 10, "exp-2": [experiment] * 10})
assert_rankings_plot(plot, ["exp-1", "exp-2"], with_avg=True)
def test_unbalanced_experiments(self, monkeypatch):
"""Tests the regrets with avg of unbalanced experiments"""
mock_experiment_with_random_to_pandas(monkeypatch, unbalanced=True)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = rankings({"exp-1": [experiment] * 10, "exp-2": [experiment] * 10})
assert_rankings_plot(plot, ["exp-1", "exp-2"], with_avg=True, balanced=0)
def test_ignore_uncompleted_statuses(self, monkeypatch):
"""Tests that uncompleted statuses are ignored"""
mock_experiment_with_random_to_pandas(
monkeypatch,
status=[
"completed",
"new",
"reserved",
"completed",
"broken",
"completed",
"interrupted",
"completed",
],
)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = rankings([experiment])
assert_rankings_plot(
plot, [f"{experiment.name}-v{experiment.version}"], balanced=4
)
def test_unsupported_order_key(self):
"""Tests that unsupported order keys are rejected"""
with create_experiment(config, trial_config) as (_, _, experiment):
with pytest.raises(ValueError):
rankings([experiment], order_by="unsupported")
@pytest.mark.usefixtures("version_XYZ")
class TestRegret:
"""Tests the ``regret()`` method provided by the plotly backend"""
def test_requires_argument(self):
"""Tests that the experiment data are required."""
with pytest.raises(ValueError):
regret(None)
def test_returns_plotly_object(self):
"""Tests that the plotly backend returns a plotly object"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regret(experiment)
assert type(plot) is plotly.graph_objects.Figure
def test_graph_layout(self):
"""Tests the layout of the plot"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regret(experiment)
assert_regret_plot(plot)
def test_experiment_worker_as_parameter(self):
"""Tests that ``Experiment`` is a valid parameter"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
experiment,
_,
):
plot = regret(experiment)
assert_regret_plot(plot)
def test_ignore_uncompleted_statuses(self):
"""Tests that uncompleted statuses are ignored"""
with create_experiment(config, trial_config) as (_, _, experiment):
plot = regret(experiment)
assert_regret_plot(plot)
def test_unsupported_order_key(self):
"""Tests that unsupported order keys are rejected"""
with create_experiment(config, trial_config) as (_, _, experiment):
with pytest.raises(ValueError):
regret(experiment, order_by="unsupported")
@pytest.mark.usefixtures("version_XYZ")
class TestRegrets:
"""Tests the ``regrets()`` method provided by the plotly backend"""
def test_requires_argument(self):
"""Tests that the experiment data are required."""
with pytest.raises(ValueError):
regrets(None)
def test_returns_plotly_object(self, monkeypatch):
"""Tests that the plotly backend returns a plotly object"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regrets([experiment])
assert type(plot) is plotly.graph_objects.Figure
def test_graph_layout(self, monkeypatch):
"""Tests the layout of the plot"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regrets([experiment])
assert_regrets_plot(plot, [f"{experiment.name}-v{experiment.version}"])
def test_list_of_experiments(self, monkeypatch):
"""Tests the regrets with list of experiments"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
child = orion.client.create_experiment(
experiment.name, branching={"branch_to": "child"}
)
plot = regrets([experiment, child])
# Exps are sorted alphabetically by names.
assert_regrets_plot(
plot, [f"{exp.name}-v{exp.version}" for exp in [child, experiment]]
)
def test_list_of_experiments_name_conflict(self, monkeypatch):
"""Tests the regrets with list of experiments with the same name"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
child = orion.client.create_experiment(
experiment.name, branching={"branch_to": experiment.name}
)
assert child.name == experiment.name
assert child.version == experiment.version + 1
plot = regrets([experiment, child])
# Exps are sorted alphabetically by names.
assert_regrets_plot(
plot, [f"{exp.name}-v{exp.version}" for exp in [experiment, child]]
)
def test_dict_of_experiments(self, monkeypatch):
"""Tests the regrets with renamed experiments"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regrets({"exp-1": experiment, "exp-2": experiment})
assert_regrets_plot(plot, ["exp-1", "exp-2"])
def test_dict_of_list_of_experiments(self, monkeypatch):
"""Tests the regrets with avg of experiments"""
mock_experiment_with_random_to_pandas(monkeypatch)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regrets({"exp-1": [experiment] * 10, "exp-2": [experiment] * 10})
assert_regrets_plot(plot, ["exp-1", "exp-2"], with_avg=True)
def test_unbalanced_experiments(self, monkeypatch):
"""Tests the regrets with avg of unbalanced experiments"""
mock_experiment_with_random_to_pandas(monkeypatch, unbalanced=True)
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regrets({"exp-1": [experiment] * 10, "exp-2": [experiment] * 10})
assert_regrets_plot(plot, ["exp-1", "exp-2"], with_avg=True, balanced=0)
def test_ignore_uncompleted_statuses(self, monkeypatch):
"""Tests that uncompleted statuses are ignored"""
mock_experiment_with_random_to_pandas(
monkeypatch,
status=[
"completed",
"new",
"reserved",
"completed",
"broken",
"completed",
"interrupted",
"completed",
],
)
with create_experiment(config, trial_config) as (_, _, experiment):
plot = regrets([experiment])
assert_regrets_plot(
plot, [f"{experiment.name}-v{experiment.version}"], balanced=4
)
def test_unsupported_order_key(self):
"""Tests that unsupported order keys are rejected"""
with create_experiment(config, trial_config) as (_, _, experiment):
with pytest.raises(ValueError):
regrets([experiment], order_by="unsupported")
| 35.716446
| 87
| 0.59196
| 4,157
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| 5.139524
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| 0.823309
| 0.809502
| 0.791388
| 0.778657
| 0.756939
| 0.74037
| 0
| 0.015585
| 0.288557
| 37,788
| 1,057
| 88
| 35.750237
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| 0.069969
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| 0.10493
| 1
| 0.096081
| false
| 0
| 0.013906
| 0.001264
| 0.127686
| 0.001264
| 0
| 0
| 0
| null | 0
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| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| null | 0
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| 0
|
0
| 6
|
bec22a0f8cc88b9839de8e482052c5fe36989f8a
| 163
|
py
|
Python
|
pyrules/storages/base.py
|
miraculixx/pyrules
|
b10d1d5e74052fa1db93cc9b459ac9057a9eb502
|
[
"MIT"
] | 17
|
2015-07-20T03:11:04.000Z
|
2021-05-02T03:34:05.000Z
|
pyrules/storages/base.py
|
miraculixx/pyrules
|
b10d1d5e74052fa1db93cc9b459ac9057a9eb502
|
[
"MIT"
] | 20
|
2015-04-10T10:11:44.000Z
|
2020-09-10T03:51:47.000Z
|
pyrules/storages/base.py
|
miraculixx/pyrules
|
b10d1d5e74052fa1db93cc9b459ac9057a9eb502
|
[
"MIT"
] | 8
|
2017-04-03T10:46:16.000Z
|
2021-11-20T05:46:02.000Z
|
class BaseStorage(object):
def get_rule(self, name):
raise NotImplementedError()
def get_ruleset(self, name):
raise NotImplementedError()
| 23.285714
| 35
| 0.680982
| 17
| 163
| 6.411765
| 0.647059
| 0.110092
| 0.238532
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| 0.226994
| 163
| 6
| 36
| 27.166667
| 0.865079
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|
0
| 6
|
fe2001122588d2b0248d76d502b21c18d29d729d
| 40
|
py
|
Python
|
catkin_ws/src:/opt/ros/kinetic/lib/python2.7/dist-packages:/home/bala/duckietown/catkin_ws/src:/home/bala/duckietown/catkin_ws/src/lib/python2.7/site-packages/geometry/subspaces/__init__.py
|
johnson880319/Software
|
045894227f359e0a3a3ec5b7a53f8d1ebc06acdd
|
[
"CC-BY-2.0"
] | null | null | null |
catkin_ws/src:/opt/ros/kinetic/lib/python2.7/dist-packages:/home/bala/duckietown/catkin_ws/src:/home/bala/duckietown/catkin_ws/src/lib/python2.7/site-packages/geometry/subspaces/__init__.py
|
johnson880319/Software
|
045894227f359e0a3a3ec5b7a53f8d1ebc06acdd
|
[
"CC-BY-2.0"
] | null | null | null |
catkin_ws/src:/opt/ros/kinetic/lib/python2.7/dist-packages:/home/bala/duckietown/catkin_ws/src:/home/bala/duckietown/catkin_ws/src/lib/python2.7/site-packages/geometry/subspaces/__init__.py
|
johnson880319/Software
|
045894227f359e0a3a3ec5b7a53f8d1ebc06acdd
|
[
"CC-BY-2.0"
] | null | null | null |
# coding=utf-8
from .subspaces import *
| 13.333333
| 24
| 0.725
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0
| 6
|
fe04e111d5ba3ee739293195694259fc26b56d25
| 30
|
py
|
Python
|
data/data/__init__.py
|
PumpkinYing/GAT
|
723a20fcd9f915123d46ef4ef03eeadb6910635a
|
[
"MIT"
] | null | null | null |
data/data/__init__.py
|
PumpkinYing/GAT
|
723a20fcd9f915123d46ef4ef03eeadb6910635a
|
[
"MIT"
] | null | null | null |
data/data/__init__.py
|
PumpkinYing/GAT
|
723a20fcd9f915123d46ef4ef03eeadb6910635a
|
[
"MIT"
] | null | null | null |
from .dataset import load_data
| 30
| 30
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0
| 6
|
4326718464c0594d943bc8eb250db3e42117293d
| 58,893
|
py
|
Python
|
tobac/plotting.py
|
w-herbst/tobac
|
9f3b9812e9a13a26373e42d356f7d571366bb967
|
[
"BSD-3-Clause"
] | 36
|
2018-11-12T10:42:22.000Z
|
2022-03-08T04:29:58.000Z
|
tobac/plotting.py
|
w-herbst/tobac
|
9f3b9812e9a13a26373e42d356f7d571366bb967
|
[
"BSD-3-Clause"
] | 71
|
2018-12-04T13:11:54.000Z
|
2022-03-30T23:15:26.000Z
|
tobac/plotting.py
|
w-herbst/tobac
|
9f3b9812e9a13a26373e42d356f7d571366bb967
|
[
"BSD-3-Clause"
] | 28
|
2018-11-19T07:51:02.000Z
|
2022-02-17T16:26:40.000Z
|
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import logging
from .analysis import lifetime_histogram
from .analysis import histogram_cellwise,histogram_featurewise
import numpy as np
def plot_tracks_mask_field_loop(track,field,mask,features,axes=None,name=None,plot_dir='./',
figsize=(10./2.54,10./2.54),dpi=300,
margin_left=0.05,margin_right=0.05,margin_bottom=0.05,margin_top=0.05,
**kwargs):
import cartopy.crs as ccrs
import os
from iris import Constraint
os.makedirs(plot_dir,exist_ok=True)
time=mask.coord('time')
if name is None:
name=field.name()
for time_i in time.points:
datetime_i=time.units.num2date(time_i)
constraint_time = Constraint(time=datetime_i)
fig1,ax1=plt.subplots(ncols=1, nrows=1,figsize=figsize, subplot_kw={'projection': ccrs.PlateCarree()})
datestring_file=datetime_i.strftime('%Y-%m-%d_%H:%M:%S')
field_i=field.extract(constraint_time)
mask_i=mask.extract(constraint_time)
track_i=track[track['time']==datetime_i]
features_i=features[features['time']==datetime_i]
ax1=plot_tracks_mask_field(track=track_i,field=field_i,mask=mask_i,features=features_i,
axes=ax1,**kwargs)
fig1.subplots_adjust(left=margin_left, bottom=margin_bottom, right=1-margin_right, top=1-margin_top)
os.makedirs(plot_dir, exist_ok=True)
savepath_png=os.path.join(plot_dir,name+'_'+datestring_file+'.png')
fig1.savefig(savepath_png,dpi=dpi)
logging.debug('Figure plotted to ' + str(savepath_png))
plt.close()
def plot_tracks_mask_field(track,field,mask,features,axes=None,axis_extent=None,
plot_outline=True,
plot_marker=True,marker_track='x',markersize_track=4,
plot_number=True,
plot_features=False,marker_feature=None,markersize_feature=None,
title=None,title_str=None,
vmin=None,vmax=None,n_levels=50,
cmap='viridis',extend='neither',
orientation_colorbar='horizontal',pad_colorbar=0.05,
label_colorbar=None,fraction_colorbar=0.046,
rasterized=True,linewidth_contour=1
):
import cartopy
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
import iris.plot as iplt
from matplotlib.ticker import MaxNLocator
import cartopy.feature as cfeature
from .utils import mask_features,mask_features_surface
from matplotlib import ticker
if type(axes) is not cartopy.mpl.geoaxes.GeoAxesSubplot:
raise ValueError('axes had to be cartopy.mpl.geoaxes.GeoAxesSubplot')
datestr=field.coord('time').units.num2date(field.coord('time').points[0]).strftime('%Y-%m-%d %H:%M:%S')
if title is 'datestr':
if title_str is None:
titlestring=datestr
elif type(title_str is str):
titlestring=title+ ' ' + datestr
axes.set_title(titlestring,horizontalalignment='left',loc='left')
gl = axes.gridlines(draw_labels=True)
majorLocator = MaxNLocator(nbins=5,steps=[1,2,5,10])
gl.xlocator=majorLocator
gl.ylocator=majorLocator
gl.xformatter = LONGITUDE_FORMATTER
axes.tick_params(axis='both', which='major')
gl.yformatter = LATITUDE_FORMATTER
gl.xlabels_top = False
gl.ylabels_right = False
axes.coastlines('10m')
# rivers=cfeature.NaturalEarthFeature(category='physical', name='rivers_lake_centerlines',scale='10m',facecolor='none')
lakes=cfeature.NaturalEarthFeature(category='physical', name='lakes',scale='10m',facecolor='none')
axes.add_feature(lakes, edgecolor='black')
axes.set_xlabel('longitude')
axes.set_ylabel('latitude')
# Plot the background field
if np.any(~np.isnan(field.data)): # check if field to plot is not only nan, which causes error:
plot_field=iplt.contourf(field,coords=['longitude','latitude'],
levels=np.linspace(vmin,vmax,num=n_levels),extend=extend,
axes=axes,
cmap=cmap,vmin=vmin,vmax=vmax,zorder=1
)
if rasterized:
axes.set_rasterization_zorder(1)
# create colorbar for background field:
cbar=plt.colorbar(plot_field,orientation=orientation_colorbar, pad=pad_colorbar,fraction=fraction_colorbar,ax=axes)
if label_colorbar is None:
label_colorbar=field.name()+ '('+field.units.symbol +')'
if orientation_colorbar is 'horizontal':
cbar.ax.set_xlabel(label_colorbar)
elif orientation_colorbar is 'vertical':
cbar.ax.set_ylabel(label_colorbar)
tick_locator = ticker.MaxNLocator(nbins=5)
cbar.locator = tick_locator
cbar.update_ticks()
colors_mask=['darkred','orange','crimson','red','darkorange']
#if marker_feature is not explicitly given, set it to marker_track (will then be overwritten by the coloured markers)
if marker_feature is None:
maker_feature=marker_track
if markersize_feature is None:
makersize_feature=markersize_track
#Plot the identified features by looping over rows of DataFrame:
if plot_features:
for i_row,row in features.iterrows():
axes.plot(row['longitude'],row['latitude'],
color='grey',marker=maker_feature,markersize=makersize_feature)
# restrict features to featues inside axis extent
track=track.loc[(track['longitude'] > axis_extent[0])
& (track['longitude'] < axis_extent[1])
& (track['latitude'] > axis_extent[2])
& (track['latitude'] < axis_extent[3])]
#Plot tracked features by looping over rows of Dataframe
for i_row,row in track.iterrows():
feature=row['feature']
cell=row['cell']
if not np.isnan(cell):
color=colors_mask[int(cell%len(colors_mask))]
if plot_number:
cell_string=' '+str(int(row['cell']))
axes.text(row['longitude'],row['latitude'],cell_string,
color=color,fontsize=6, clip_on=True)
else:
color='grey'
if plot_outline:
mask_i=None
# if mask is 3D, create surface projection, if mask is 2D keep the mask
if mask.ndim==2:
mask_i=mask_features(mask,feature,masked=False)
elif mask.ndim==3:
mask_i=mask_features_surface(mask,feature,masked=False,z_coord='model_level_number')
else:
raise ValueError('mask has shape that cannot be understood')
# plot countour lines around the edges of the mask
iplt.contour(mask_i,coords=['longitude','latitude'],
levels=[0,feature],
colors=color,linewidths=linewidth_contour,
axes=axes)
if plot_marker:
axes.plot(row['longitude'],row['latitude'],
color=color,marker=marker_track,markersize=markersize_track)
axes.set_extent(axis_extent)
return axes
def animation_mask_field(track,features,field,mask,interval=500,figsize=(10,10),**kwargs):
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import matplotlib.animation
from iris import Constraint
fig=plt.figure(figsize=figsize)
plt.close()
def update(time_in):
fig.clf()
ax=fig.add_subplot(111,projection=ccrs.PlateCarree())
constraint_time = Constraint(time=time_in)
field_i=field.extract(constraint_time)
mask_i=mask.extract(constraint_time)
track_i=track[track['time']==time_in]
features_i=features[features['time']==time_in]
#fig1,ax1=plt.subplots(ncols=1, nrows=1,figsize=figsize, subplot_kw={'projection': ccrs.PlateCarree()})
plot_tobac=plot_tracks_mask_field(track_i,field=field_i,mask=mask_i,features=features_i,
axes=ax,
**kwargs)
ax.set_title('{}'.format(time_in))
time=field.coord('time')
datetimes=time.units.num2date(time.points)
animation = matplotlib.animation.FuncAnimation(fig, update,init_func=None, frames=datetimes,interval=interval, blit=False)
return animation
def plot_mask_cell_track_follow(cell,track, cog, features, mask_total,
field_contour, field_filled,
width=10000,
name= 'test', plotdir='./',
file_format=['png'],figsize=(10/2.54, 10/2.54),dpi=300,
**kwargs):
'''Make plots for all cells centred around cell and with one background field as filling and one background field as contrours
Input:
Output:
'''
from iris import Constraint
from numpy import unique
import os
track_cell=track[track['cell']==cell]
for i_row,row in track_cell.iterrows():
constraint_time = Constraint(time=row['time'])
constraint_x = Constraint(projection_x_coordinate = lambda cell: row['projection_x_coordinate']-width < cell < row['projection_x_coordinate']+width)
constraint_y = Constraint(projection_y_coordinate = lambda cell: row['projection_y_coordinate']-width < cell < row['projection_y_coordinate']+width)
constraint = constraint_time & constraint_x & constraint_y
mask_total_i=mask_total.extract(constraint)
if field_contour is None:
field_contour_i=None
else:
field_contour_i=field_contour.extract(constraint)
if field_filled is None:
field_filled_i=None
else:
field_filled_i=field_filled.extract(constraint)
cells=list(unique(mask_total_i.core_data()))
if cell not in cells:
cells.append(cell)
if 0 in cells:
cells.remove(0)
track_i=track[track['cell'].isin(cells)]
track_i=track_i[track_i['time']==row['time']]
if cog is None:
cog_i=None
else:
cog_i=cog[cog['cell'].isin(cells)]
cog_i=cog_i[cog_i['time']==row['time']]
if features is None:
features_i=None
else:
features_i=features[features['time']==row['time']]
fig1, ax1 = plt.subplots(ncols=1, nrows=1, figsize=figsize)
fig1.subplots_adjust(left=0.2, bottom=0.15, right=0.85, top=0.80)
datestring_stamp = row['time'].strftime('%Y-%m-%d %H:%M:%S')
celltime_stamp = "%02d:%02d:%02d" % (row['time_cell'].dt.total_seconds() // 3600,(row['time_cell'].dt.total_seconds() % 3600) // 60, row['time_cell'].dt.total_seconds() % 60 )
title=datestring_stamp + ' , ' + celltime_stamp
datestring_file = row['time'].strftime('%Y-%m-%d_%H%M%S')
ax1=plot_mask_cell_individual_follow(cell_i=cell,track=track_i, cog=cog_i,features=features_i,
mask_total=mask_total_i,
field_contour=field_contour_i, field_filled=field_filled_i,
width=width,
axes=ax1,title=title,
**kwargs)
out_dir = os.path.join(plotdir, name)
os.makedirs(out_dir, exist_ok=True)
if 'png' in file_format:
savepath_png = os.path.join(out_dir, name + '_' + datestring_file + '.png')
fig1.savefig(savepath_png, dpi=dpi)
logging.debug('field_contour field_filled Mask plot saved to ' + savepath_png)
if 'pdf' in file_format:
savepath_pdf = os.path.join(out_dir, name + '_' + datestring_file + '.pdf')
fig1.savefig(savepath_pdf, dpi=dpi)
logging.debug('field_contour field_filled Mask plot saved to ' + savepath_pdf)
plt.close()
plt.clf()
def plot_mask_cell_individual_follow(cell_i,track, cog,features, mask_total,
field_contour, field_filled,
axes=None,width=10000,
label_field_contour=None, cmap_field_contour='Blues',norm_field_contour=None,
linewidths_contour=0.8,contour_labels=False,
vmin_field_contour=0,vmax_field_contour=50,levels_field_contour=None,nlevels_field_contour=10,
label_field_filled=None,cmap_field_filled='summer',norm_field_filled=None,
vmin_field_filled=0,vmax_field_filled=100,levels_field_filled=None,nlevels_field_filled=10,
title=None
):
'''Make individual plot for cell centred around cell and with one background field as filling and one background field as contrours
Input:
Output:
'''
import numpy as np
from .utils import mask_cell_surface
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.colors import Normalize
divider = make_axes_locatable(axes)
x_pos=track[track['cell']==cell_i]['projection_x_coordinate'].item()
y_pos=track[track['cell']==cell_i]['projection_y_coordinate'].item()
if field_filled is not None:
if levels_field_filled is None:
levels_field_filled=np.linspace(vmin_field_filled,vmax_field_filled, nlevels_field_filled)
plot_field_filled = axes.contourf((field_filled.coord('projection_x_coordinate').points-x_pos)/1000,
(field_filled.coord('projection_y_coordinate').points-y_pos)/1000,
field_filled.data,
cmap=cmap_field_filled,norm=norm_field_filled,
levels=levels_field_filled,vmin=vmin_field_filled, vmax=vmax_field_filled)
cax_filled = divider.append_axes("right", size="5%", pad=0.1)
norm_filled= Normalize(vmin=vmin_field_filled, vmax=vmax_field_filled)
sm_filled= plt.cm.ScalarMappable(norm=norm_filled, cmap = plot_field_filled.cmap)
sm_filled.set_array([])
cbar_field_filled = plt.colorbar(sm_filled, orientation='vertical',cax=cax_filled)
cbar_field_filled.ax.set_ylabel(label_field_filled)
cbar_field_filled.set_clim(vmin_field_filled, vmax_field_filled)
if field_contour is not None:
if levels_field_contour is None:
levels_field_contour=np.linspace(vmin_field_contour, vmax_field_contour, nlevels_field_contour)
if norm_field_contour:
vmin_field_contour=None,
vmax_field_contour=None,
plot_field_contour = axes.contour((field_contour.coord('projection_x_coordinate').points-x_pos)/1000,
(field_contour.coord('projection_y_coordinate').points-y_pos)/1000,
field_contour.data,
cmap=cmap_field_contour,norm=norm_field_contour,
levels=levels_field_contour,vmin=vmin_field_contour, vmax=vmax_field_contour,
linewidths=linewidths_contour)
if contour_labels:
axes.clabel(plot_field_contour, fontsize=10)
cax_contour = divider.append_axes("bottom", size="5%", pad=0.1)
if norm_field_contour:
vmin_field_contour=None
vmax_field_contour=None
norm_contour=norm_field_contour
else:
norm_contour= Normalize(vmin=vmin_field_contour, vmax=vmax_field_contour)
sm_contour= plt.cm.ScalarMappable(norm=norm_contour, cmap = plot_field_contour.cmap)
sm_contour.set_array([])
cbar_field_contour = plt.colorbar(sm_contour, orientation='horizontal',ticks=levels_field_contour,cax=cax_contour)
cbar_field_contour.ax.set_xlabel(label_field_contour)
cbar_field_contour.set_clim(vmin_field_contour, vmax_field_contour)
for i_row, row in track.iterrows():
cell = int(row['cell'])
if cell==cell_i:
color='darkred'
else:
color='darkorange'
cell_string=' '+str(int(row['cell']))
axes.text((row['projection_x_coordinate']-x_pos)/1000,
(row['projection_y_coordinate']-y_pos)/1000,
cell_string,color=color,fontsize=6, clip_on=True)
# Plot marker for tracked cell centre as a cross
axes.plot((row['projection_x_coordinate']-x_pos)/1000,
(row['projection_y_coordinate']-y_pos)/1000,
'x', color=color,markersize=4)
#Create surface projection of mask for the respective cell and plot it in the right color
z_coord = 'model_level_number'
if len(mask_total.shape)==3:
mask_total_i_surface = mask_cell_surface(mask_total, cell, track, masked=False, z_coord=z_coord)
elif len(mask_total.shape)==2:
mask_total_i_surface=mask_total
axes.contour((mask_total_i_surface.coord('projection_x_coordinate').points-x_pos)/1000,
(mask_total_i_surface.coord('projection_y_coordinate').points-y_pos)/1000,
mask_total_i_surface.data,
levels=[0, cell], colors=color, linestyles=':',linewidth=1)
if cog is not None:
for i_row, row in cog.iterrows():
cell = row['cell']
if cell==cell_i:
color='darkred'
else:
color='darkorange'
# plot marker for centre of gravity as a circle
axes.plot((row['x_M']-x_pos)/1000, (row['y_M']-y_pos)/1000,
'o', markeredgecolor=color, markerfacecolor='None',markersize=4)
if features is not None:
for i_row, row in features.iterrows():
color='purple'
axes.plot((row['projection_x_coordinate']-x_pos)/1000,
(row['projection_y_coordinate']-y_pos)/1000,
'+', color=color,markersize=3)
axes.set_xlabel('x (km)')
axes.set_ylabel('y (km)')
axes.set_xlim([-1*width/1000, width/1000])
axes.set_ylim([-1*width/1000, width/1000])
axes.xaxis.set_label_position('top')
axes.xaxis.set_ticks_position('top')
axes.set_title(title,pad=35,fontsize=10,horizontalalignment='left',loc='left')
return axes
def plot_mask_cell_track_static(cell,track, cog, features, mask_total,
field_contour, field_filled,
width=10000,n_extend=1,
name= 'test', plotdir='./',
file_format=['png'],figsize=(10/2.54, 10/2.54),dpi=300,
**kwargs):
'''Make plots for all cells with fixed frame including entire development of the cell and with one background field as filling and one background field as contrours
Input:
Output:
'''
from iris import Constraint
from numpy import unique
import os
track_cell=track[track['cell']==cell]
x_min=track_cell['projection_x_coordinate'].min()-width
x_max=track_cell['projection_x_coordinate'].max()+width
y_min=track_cell['projection_y_coordinate'].min()-width
y_max=track_cell['projection_y_coordinate'].max()+width
#set up looping over time based on mask's time coordinate to allow for one timestep before and after the track
time_coord=mask_total.coord('time')
time=time_coord.units.num2date(time_coord.points)
i_start=max(0,np.where(time==track_cell['time'].values[0])[0][0]-n_extend)
i_end=min(len(time)-1,np.where(time==track_cell['time'].values[-1])[0][0]+n_extend+1)
time_cell=time[slice(i_start,i_end)]
for time_i in time_cell:
# for i_row,row in track_cell.iterrows():
# time_i=row['time']
# constraint_time = Constraint(time=row['time'])
constraint_time = Constraint(time=time_i)
constraint_x = Constraint(projection_x_coordinate = lambda cell: x_min < cell < x_max)
constraint_y = Constraint(projection_y_coordinate = lambda cell: y_min < cell < y_max)
constraint = constraint_time & constraint_x & constraint_y
mask_total_i=mask_total.extract(constraint)
if field_contour is None:
field_contour_i=None
else:
field_contour_i=field_contour.extract(constraint)
if field_filled is None:
field_filled_i=None
else:
field_filled_i=field_filled.extract(constraint)
track_i=track[track['time']==time_i]
cells_mask=list(unique(mask_total_i.core_data()))
track_cells=track_i.loc[(track_i['projection_x_coordinate'] > x_min) & (track_i['projection_x_coordinate'] < x_max) & (track_i['projection_y_coordinate'] > y_min) & (track_i['projection_y_coordinate'] < y_max)]
cells_track=list(track_cells['cell'].values)
cells=list(set( cells_mask + cells_track ))
if cell not in cells:
cells.append(cell)
if 0 in cells:
cells.remove(0)
track_i=track_i[track_i['cell'].isin(cells)]
if cog is None:
cog_i=None
else:
cog_i=cog[cog['cell'].isin(cells)]
cog_i=cog_i[cog_i['time']==time_i]
if features is None:
features_i=None
else:
features_i=features[features['time']==time_i]
fig1, ax1 = plt.subplots(ncols=1, nrows=1, figsize=figsize)
fig1.subplots_adjust(left=0.2, bottom=0.15, right=0.80, top=0.85)
datestring_stamp = time_i.strftime('%Y-%m-%d %H:%M:%S')
if time_i in track_cell['time'].values:
time_cell_i=track_cell[track_cell['time'].values==time_i]['time_cell']
celltime_stamp = "%02d:%02d:%02d" % (time_cell_i.dt.total_seconds() // 3600,
(time_cell_i.dt.total_seconds() % 3600) // 60,
time_cell_i.dt.total_seconds() % 60 )
else:
celltime_stamp=' - '
title=datestring_stamp + ' , ' + celltime_stamp
datestring_file = time_i.strftime('%Y-%m-%d_%H%M%S')
ax1=plot_mask_cell_individual_static(cell_i=cell,
track=track_i, cog=cog_i,features=features_i,
mask_total=mask_total_i,
field_contour=field_contour_i, field_filled=field_filled_i,
xlim=[x_min/1000,x_max/1000],ylim=[y_min/1000,y_max/1000],
axes=ax1,title=title,**kwargs)
out_dir = os.path.join(plotdir, name)
os.makedirs(out_dir, exist_ok=True)
if 'png' in file_format:
savepath_png = os.path.join(out_dir, name + '_' + datestring_file + '.png')
fig1.savefig(savepath_png, dpi=dpi)
logging.debug('Mask static plot saved to ' + savepath_png)
if 'pdf' in file_format:
savepath_pdf = os.path.join(out_dir, name + '_' + datestring_file + '.pdf')
fig1.savefig(savepath_pdf, dpi=dpi)
logging.debug('Mask static plot saved to ' + savepath_pdf)
plt.close()
plt.clf()
def plot_mask_cell_individual_static(cell_i,track, cog, features, mask_total,
field_contour, field_filled,
axes=None,xlim=None,ylim=None,
label_field_contour=None, cmap_field_contour='Blues',norm_field_contour=None,
linewidths_contour=0.8,contour_labels=False,
vmin_field_contour=0,vmax_field_contour=50,levels_field_contour=None,nlevels_field_contour=10,
label_field_filled=None,cmap_field_filled='summer',norm_field_filled=None,
vmin_field_filled=0,vmax_field_filled=100,levels_field_filled=None,nlevels_field_filled=10,
title=None,feature_number=False
):
'''Make plots for cell in fixed frame and with one background field as filling and one background field as contrours
Input:
Output:
'''
import numpy as np
from .utils import mask_features,mask_features_surface
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.colors import Normalize
divider = make_axes_locatable(axes)
if field_filled is not None:
if levels_field_filled is None:
levels_field_filled=np.linspace(vmin_field_filled,vmax_field_filled, 10)
plot_field_filled = axes.contourf(field_filled.coord('projection_x_coordinate').points/1000,
field_filled.coord('projection_y_coordinate').points/1000,
field_filled.data,
levels=levels_field_filled, norm=norm_field_filled,
cmap=cmap_field_filled, vmin=vmin_field_filled, vmax=vmax_field_filled)
cax_filled = divider.append_axes("right", size="5%", pad=0.1)
norm_filled= Normalize(vmin=vmin_field_filled, vmax=vmax_field_filled)
sm1= plt.cm.ScalarMappable(norm=norm_filled, cmap = plot_field_filled.cmap)
sm1.set_array([])
cbar_field_filled = plt.colorbar(sm1, orientation='vertical',cax=cax_filled)
cbar_field_filled.ax.set_ylabel(label_field_filled)
cbar_field_filled.set_clim(vmin_field_filled, vmax_field_filled)
if field_contour is not None:
if levels_field_contour is None:
levels_field_contour=np.linspace(vmin_field_contour, vmax_field_contour, 5)
plot_field_contour = axes.contour(field_contour.coord('projection_x_coordinate').points/1000,
field_contour.coord('projection_y_coordinate').points/1000,
field_contour.data,
cmap=cmap_field_contour,norm=norm_field_contour,
levels=levels_field_contour,vmin=vmin_field_contour, vmax=vmax_field_contour,
linewidths=linewidths_contour)
if contour_labels:
axes.clabel(plot_field_contour, fontsize=10)
cax_contour = divider.append_axes("bottom", size="5%", pad=0.1)
if norm_field_contour:
vmin_field_contour=None
vmax_field_contour=None
norm_contour=norm_field_contour
else:
norm_contour= Normalize(vmin=vmin_field_contour, vmax=vmax_field_contour)
sm_contour= plt.cm.ScalarMappable(norm=norm_contour, cmap = plot_field_contour.cmap)
sm_contour.set_array([])
cbar_field_contour = plt.colorbar(sm_contour, orientation='horizontal',ticks=levels_field_contour,cax=cax_contour)
cbar_field_contour.ax.set_xlabel(label_field_contour)
cbar_field_contour.set_clim(vmin_field_contour, vmax_field_contour)
for i_row, row in track.iterrows():
cell = row['cell']
feature = row['feature']
# logging.debug("cell: "+ str(row['cell']))
# logging.debug("feature: "+ str(row['feature']))
if cell==cell_i:
color='darkred'
if feature_number:
cell_string=' '+str(int(cell))+' ('+str(int(feature))+')'
else:
cell_string=' '+str(int(cell))
elif np.isnan(cell):
color='gray'
if feature_number:
cell_string=' '+'('+str(int(feature))+')'
else:
cell_string=' '
else:
color='darkorange'
if feature_number:
cell_string=' '+str(int(cell))+' ('+str(int(feature))+')'
else:
cell_string=' '+str(int(cell))
axes.text(row['projection_x_coordinate']/1000,
row['projection_y_coordinate']/1000,
cell_string,color=color,fontsize=6, clip_on=True)
# Plot marker for tracked cell centre as a cross
axes.plot(row['projection_x_coordinate']/1000,
row['projection_y_coordinate']/1000,
'x', color=color,markersize=4)
#Create surface projection of mask for the respective cell and plot it in the right color
z_coord = 'model_level_number'
if len(mask_total.shape)==3:
mask_total_i_surface = mask_features_surface(mask_total, feature, masked=False, z_coord=z_coord)
elif len(mask_total.shape)==2:
mask_total_i_surface=mask_features(mask_total, feature, masked=False, z_coord=z_coord)
axes.contour(mask_total_i_surface.coord('projection_x_coordinate').points/1000,
mask_total_i_surface.coord('projection_y_coordinate').points/1000,
mask_total_i_surface.data,
levels=[0, feature], colors=color, linestyles=':',linewidth=1)
if cog is not None:
for i_row, row in cog.iterrows():
cell = row['cell']
if cell==cell_i:
color='darkred'
else:
color='darkorange'
# plot marker for centre of gravity as a circle
axes.plot(row['x_M']/1000, row['y_M']/1000,
'o', markeredgecolor=color, markerfacecolor='None',markersize=4)
if features is not None:
for i_row, row in features.iterrows():
color='purple'
axes.plot(row['projection_x_coordinate']/1000,
row['projection_y_coordinate']/1000,
'+', color=color,markersize=3)
axes.set_xlabel('x (km)')
axes.set_ylabel('y (km)')
axes.set_xlim(xlim)
axes.set_ylim(ylim)
axes.xaxis.set_label_position('top')
axes.xaxis.set_ticks_position('top')
axes.set_title(title,pad=35,fontsize=10,horizontalalignment='left',loc='left')
return axes
def plot_mask_cell_track_2D3Dstatic(cell,track, cog, features, mask_total,
field_contour, field_filled,
width=10000,n_extend=1,
name= 'test', plotdir='./',
file_format=['png'],figsize=(10/2.54, 10/2.54),dpi=300,
ele=10,azim=30,
**kwargs):
'''Make plots for all cells with fixed frame including entire development of the cell and with one background field as filling and one background field as contrours
Input:
Output:
'''
from iris import Constraint
from numpy import unique
import os
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.gridspec as gridspec
track_cell=track[track['cell']==cell]
x_min=track_cell['projection_x_coordinate'].min()-width
x_max=track_cell['projection_x_coordinate'].max()+width
y_min=track_cell['projection_y_coordinate'].min()-width
y_max=track_cell['projection_y_coordinate'].max()+width
#set up looping over time based on mask's time coordinate to allow for one timestep before and after the track
time_coord=mask_total.coord('time')
time=time_coord.units.num2date(time_coord.points)
i_start=max(0,np.where(time==track_cell['time'].values[0])[0][0]-n_extend)
i_end=min(len(time)-1,np.where(time==track_cell['time'].values[-1])[0][0]+n_extend+1)
time_cell=time[slice(i_start,i_end)]
for time_i in time_cell:
# for i_row,row in track_cell.iterrows():
# time_i=row['time']
# constraint_time = Constraint(time=row['time'])
constraint_time = Constraint(time=time_i)
constraint_x = Constraint(projection_x_coordinate = lambda cell: x_min < cell < x_max)
constraint_y = Constraint(projection_y_coordinate = lambda cell: y_min < cell < y_max)
constraint = constraint_time & constraint_x & constraint_y
mask_total_i=mask_total.extract(constraint)
if field_contour is None:
field_contour_i=None
else:
field_contour_i=field_contour.extract(constraint)
if field_filled is None:
field_filled_i=None
else:
field_filled_i=field_filled.extract(constraint)
track_i=track[track['time']==time_i]
cells_mask=list(unique(mask_total_i.core_data()))
track_cells=track_i.loc[(track_i['projection_x_coordinate'] > x_min) & (track_i['projection_x_coordinate'] < x_max) & (track_i['projection_y_coordinate'] > y_min) & (track_i['projection_y_coordinate'] < y_max)]
cells_track=list(track_cells['cell'].values)
cells=list(set( cells_mask + cells_track ))
if cell not in cells:
cells.append(cell)
if 0 in cells:
cells.remove(0)
track_i=track_i[track_i['cell'].isin(cells)]
if cog is None:
cog_i=None
else:
cog_i=cog[cog['cell'].isin(cells)]
cog_i=cog_i[cog_i['time']==time_i]
if features is None:
features_i=None
else:
features_i=features[features['time']==time_i]
fig1=plt.figure(figsize=(20 / 2.54, 10 / 2.54))
fig1.subplots_adjust(left=0.1, bottom=0.15, right=0.9, top=0.9,wspace=0.3, hspace=0.25)
# make two subplots for figure:
gs1 = gridspec.GridSpec(1, 2,width_ratios=[1,1.2])
fig1.add_subplot(gs1[0])
fig1.add_subplot(gs1[1], projection='3d')
ax1 = fig1.get_axes()
datestring_stamp = time_i.strftime('%Y-%m-%d %H:%M:%S')
if time_i in track_cell['time'].values:
time_cell_i=track_cell[track_cell['time'].values==time_i]['time_cell']
celltime_stamp = "%02d:%02d:%02d" % (time_cell_i.dt.total_seconds() // 3600,
(time_cell_i.dt.total_seconds() % 3600) // 60,
time_cell_i.dt.total_seconds() % 60 )
else:
celltime_stamp=' - '
title=datestring_stamp + ' , ' + celltime_stamp
datestring_file = time_i.strftime('%Y-%m-%d_%H%M%S')
ax1[0]=plot_mask_cell_individual_static(cell_i=cell,
track=track_i, cog=cog_i,features=features_i,
mask_total=mask_total_i,
field_contour=field_contour_i, field_filled=field_filled_i,
xlim=[x_min/1000,x_max/1000],ylim=[y_min/1000,y_max/1000],
axes=ax1[0],title=title,**kwargs)
ax1[1]=plot_mask_cell_individual_3Dstatic(cell_i=cell,
track=track_i, cog=cog_i,features=features_i,
mask_total=mask_total_i,
field_contour=field_contour_i, field_filled=field_filled_i,
xlim=[x_min/1000,x_max/1000],ylim=[y_min/1000,y_max/1000],
axes=ax1[1],title=title,
ele=ele,azim=azim,
**kwargs)
out_dir = os.path.join(plotdir, name)
os.makedirs(out_dir, exist_ok=True)
if 'png' in file_format:
savepath_png = os.path.join(out_dir, name + '_' + datestring_file + '.png')
fig1.savefig(savepath_png, dpi=dpi)
logging.debug('Mask static 2d/3D plot saved to ' + savepath_png)
if 'pdf' in file_format:
savepath_pdf = os.path.join(out_dir, name + '_' + datestring_file + '.pdf')
fig1.savefig(savepath_pdf, dpi=dpi)
logging.debug('Mask static 2d/3D plot saved to ' + savepath_pdf)
plt.close()
plt.clf()
def plot_mask_cell_track_3Dstatic(cell,track, cog, features, mask_total,
field_contour, field_filled,
width=10000,n_extend=1,
name= 'test', plotdir='./',
file_format=['png'],figsize=(10/2.54, 10/2.54),dpi=300,
**kwargs):
'''Make plots for all cells with fixed frame including entire development of the cell and with one background field as filling and one background field as contrours
Input:
Output:
'''
from iris import Constraint
from numpy import unique
import os
from mpl_toolkits.mplot3d import Axes3D
track_cell=track[track['cell']==cell]
x_min=track_cell['projection_x_coordinate'].min()-width
x_max=track_cell['projection_x_coordinate'].max()+width
y_min=track_cell['projection_y_coordinate'].min()-width
y_max=track_cell['projection_y_coordinate'].max()+width
#set up looping over time based on mask's time coordinate to allow for one timestep before and after the track
time_coord=mask_total.coord('time')
time=time_coord.units.num2date(time_coord.points)
i_start=max(0,np.where(time==track_cell['time'].values[0])[0][0]-n_extend)
i_end=min(len(time)-1,np.where(time==track_cell['time'].values[-1])[0][0]+n_extend+1)
time_cell=time[slice(i_start,i_end)]
for time_i in time_cell:
# for i_row,row in track_cell.iterrows():
# time_i=row['time']
# constraint_time = Constraint(time=row['time'])
constraint_time = Constraint(time=time_i)
constraint_x = Constraint(projection_x_coordinate = lambda cell: x_min < cell < x_max)
constraint_y = Constraint(projection_y_coordinate = lambda cell: y_min < cell < y_max)
constraint = constraint_time & constraint_x & constraint_y
mask_total_i=mask_total.extract(constraint)
if field_contour is None:
field_contour_i=None
else:
field_contour_i=field_contour.extract(constraint)
if field_filled is None:
field_filled_i=None
else:
field_filled_i=field_filled.extract(constraint)
track_i=track[track['time']==time_i]
cells_mask=list(unique(mask_total_i.core_data()))
track_cells=track_i.loc[(track_i['projection_x_coordinate'] > x_min) & (track_i['projection_x_coordinate'] < x_max) & (track_i['projection_y_coordinate'] > y_min) & (track_i['projection_y_coordinate'] < y_max)]
cells_track=list(track_cells['cell'].values)
cells=list(set( cells_mask + cells_track ))
if cell not in cells:
cells.append(cell)
if 0 in cells:
cells.remove(0)
track_i=track_i[track_i['cell'].isin(cells)]
if cog is None:
cog_i=None
else:
cog_i=cog[cog['cell'].isin(cells)]
cog_i=cog_i[cog_i['time']==time_i]
if features is None:
features_i=None
else:
features_i=features[features['time']==time_i]
# fig1, ax1 = plt.subplots(ncols=1, nrows=1, figsize=figsize)
# fig1.subplots_adjust(left=0.2, bottom=0.15, right=0.80, top=0.85)
fig1, ax1 = plt.subplots(ncols=1, nrows=1, figsize=(10/2.54, 10/2.54), subplot_kw={'projection': '3d'})
datestring_stamp = time_i.strftime('%Y-%m-%d %H:%M:%S')
if time_i in track_cell['time'].values:
time_cell_i=track_cell[track_cell['time'].values==time_i]['time_cell']
celltime_stamp = "%02d:%02d:%02d" % (time_cell_i.dt.total_seconds() // 3600,
(time_cell_i.dt.total_seconds() % 3600) // 60,
time_cell_i.dt.total_seconds() % 60 )
else:
celltime_stamp=' - '
title=datestring_stamp + ' , ' + celltime_stamp
datestring_file = time_i.strftime('%Y-%m-%d_%H%M%S')
ax1=plot_mask_cell_individual_3Dstatic(cell_i=cell,
track=track_i, cog=cog_i,features=features_i,
mask_total=mask_total_i,
field_contour=field_contour_i, field_filled=field_filled_i,
xlim=[x_min/1000,x_max/1000],ylim=[y_min/1000,y_max/1000],
axes=ax1,title=title,**kwargs)
out_dir = os.path.join(plotdir, name)
os.makedirs(out_dir, exist_ok=True)
if 'png' in file_format:
savepath_png = os.path.join(out_dir, name + '_' + datestring_file + '.png')
fig1.savefig(savepath_png, dpi=dpi)
logging.debug('Mask static plot saved to ' + savepath_png)
if 'pdf' in file_format:
savepath_pdf = os.path.join(out_dir, name + '_' + datestring_file + '.pdf')
fig1.savefig(savepath_pdf, dpi=dpi)
logging.debug('Mask static plot saved to ' + savepath_pdf)
plt.close()
plt.clf()
def plot_mask_cell_individual_3Dstatic(cell_i,track, cog, features, mask_total,
field_contour, field_filled,
axes=None,xlim=None,ylim=None,
label_field_contour=None, cmap_field_contour='Blues',norm_field_contour=None,
linewidths_contour=0.8,contour_labels=False,
vmin_field_contour=0,vmax_field_contour=50,levels_field_contour=None,nlevels_field_contour=10,
label_field_filled=None,cmap_field_filled='summer',norm_field_filled=None,
vmin_field_filled=0,vmax_field_filled=100,levels_field_filled=None,nlevels_field_filled=10,
title=None,feature_number=False,
ele=10.,azim=210.
):
'''Make plots for cell in fixed frame and with one background field as filling and one background field as contrours
Input:
Output:
'''
import numpy as np
from .utils import mask_features,mask_features_surface
# from mpl_toolkits.axes_grid1 import make_axes_locatable
# from matplotlib.colors import Normalize
from mpl_toolkits.mplot3d import Axes3D
axes.view_init(elev=ele, azim=azim)
axes.grid(b=False)
axes.set_frame_on(False)
# make the panes transparent
axes.xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
axes.yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
axes.zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
# make the grid lines transparent
axes.xaxis._axinfo["grid"]['color'] = (1,1,1,0)
axes.yaxis._axinfo["grid"]['color'] = (1,1,1,0)
axes.zaxis._axinfo["grid"]['color'] = (1,1,1,0)
if title is not None:
axes.set_title(title,horizontalalignment='left',loc='left')
# colors_mask = ['pink','darkred', 'orange', 'darkred', 'red', 'darkorange']
x = mask_total.coord('projection_x_coordinate').points
y = mask_total.coord('projection_y_coordinate').points
z = mask_total.coord('model_level_number').points
# z = mask_total.coord('geopotential_height').points
zz, yy, xx = np.meshgrid(z, y, x, indexing='ij')
# z_alt = mask_total.coord('geopotential_height').points
# divider = make_axes_locatable(axes)
# if field_filled is not None:
# if levels_field_filled is None:
# levels_field_filled=np.linspace(vmin_field_filled,vmax_field_filled, 10)
# plot_field_filled = axes.contourf(field_filled.coord('projection_x_coordinate').points/1000,
# field_filled.coord('projection_y_coordinate').points/1000,
# field_filled.data,
# levels=levels_field_filled, norm=norm_field_filled,
# cmap=cmap_field_filled, vmin=vmin_field_filled, vmax=vmax_field_filled)
# cax_filled = divider.append_axes("right", size="5%", pad=0.1)
# norm_filled= Normalize(vmin=vmin_field_filled, vmax=vmax_field_filled)
# sm1= plt.cm.ScalarMappable(norm=norm_filled, cmap = plot_field_filled.cmap)
# sm1.set_array([])
# cbar_field_filled = plt.colorbar(sm1, orientation='vertical',cax=cax_filled)
# cbar_field_filled.ax.set_ylabel(label_field_filled)
# cbar_field_filled.set_clim(vmin_field_filled, vmax_field_filled)
# if field_contour is not None:
# if levels_field_contour is None:
# levels_field_contour=np.linspace(vmin_field_contour, vmax_field_contour, 5)
# plot_field_contour = axes.contour(field_contour.coord('projection_x_coordinate').points/1000,
# field_contour.coord('projection_y_coordinate').points/1000,
# field_contour.data,
# cmap=cmap_field_contour,norm=norm_field_contour,
# levels=levels_field_contour,vmin=vmin_field_contour, vmax=vmax_field_contour,
# linewidths=linewidths_contour)
# if contour_labels:
# axes.clabel(plot_field_contour, fontsize=10)
# cax_contour = divider.append_axes("bottom", size="5%", pad=0.1)
# if norm_field_contour:
# vmin_field_contour=None
# vmax_field_contour=None
# norm_contour=norm_field_contour
# else:
# norm_contour= Normalize(vmin=vmin_field_contour, vmax=vmax_field_contour)
#
# sm_contour= plt.cm.ScalarMappable(norm=norm_contour, cmap = plot_field_contour.cmap)
# sm_contour.set_array([])
#
# cbar_field_contour = plt.colorbar(sm_contour, orientation='horizontal',ticks=levels_field_contour,cax=cax_contour)
# cbar_field_contour.ax.set_xlabel(label_field_contour)
# cbar_field_contour.set_clim(vmin_field_contour, vmax_field_contour)
#
for i_row, row in track.iterrows():
cell = row['cell']
feature = row['feature']
# logging.debug("cell: "+ str(row['cell']))
# logging.debug("feature: "+ str(row['feature']))
if cell==cell_i:
color='darkred'
if feature_number:
cell_string=' '+str(int(cell))+' ('+str(int(feature))+')'
else:
cell_string=' '+str(int(cell))
elif np.isnan(cell):
color='gray'
if feature_number:
cell_string=' '+'('+str(int(feature))+')'
else:
cell_string=' '
else:
color='darkorange'
if feature_number:
cell_string=' '+str(int(cell))+' ('+str(int(feature))+')'
else:
cell_string=' '+str(int(cell))
# axes.text(row['projection_x_coordinate']/1000,
# row['projection_y_coordinate']/1000,
# 0,
# cell_string,color=color,fontsize=6, clip_on=True)
# # Plot marker for tracked cell centre as a cross
# axes.plot(row['projection_x_coordinate']/1000,
# row['projection_y_coordinate']/1000,
# 0,
# 'x', color=color,markersize=4)
#Create surface projection of mask for the respective cell and plot it in the right color
# z_coord = 'model_level_number'
# if len(mask_total.shape)==3:
# mask_total_i_surface = mask_features_surface(mask_total, feature, masked=False, z_coord=z_coord)
# elif len(mask_total.shape)==2:
# mask_total_i_surface=mask_features(mask_total, feature, masked=False, z_coord=z_coord)
# axes.contour(mask_total_i_surface.coord('projection_x_coordinate').points/1000,
# mask_total_i_surface.coord('projection_y_coordinate').points/1000,
# 0,
# mask_total_i_surface.data,
# levels=[0, feature], colors=color, linestyles=':',linewidth=1)
mask_feature = mask_total.data == feature
axes.scatter(
# xx[mask_feature]/1000, yy[mask_feature]/1000, zz[mask_feature]/1000,
xx[mask_feature]/1000, yy[mask_feature]/1000, zz[mask_feature],
c=color, marker=',',
s=5,#60000.0 * TWC_i[Mask_particle],
alpha=0.3, cmap='inferno', label=cell_string,rasterized=True)
axes.set_xlim(xlim)
axes.set_ylim(ylim)
axes.set_zlim([0, 100])
# axes.set_zlim([0, 20])
# axes.set_zticks([0, 5,10,15, 20])
axes.set_xlabel('x (km)')
axes.set_ylabel('y (km)')
axes.zaxis.set_rotate_label(False) # disable automatic rotation
# axes.set_zlabel('z (km)', rotation=90)
axes.set_zlabel('model level', rotation=90)
return axes
def plot_mask_cell_track_static_timeseries(cell,track, cog, features, mask_total,
field_contour, field_filled,
track_variable=None,variable=None,variable_ylabel=None,variable_label=[None],variable_legend=False,variable_color=None,
width=10000,n_extend=1,
name= 'test', plotdir='./',
file_format=['png'],figsize=(20/2.54, 10/2.54),dpi=300,
**kwargs):
'''Make plots for all cells with fixed frame including entire development of the cell and with one background field as filling and one background field as contrours
Input:
Output:
'''
'''Make plots for all cells with fixed frame including entire development of the cell and with one background field as filling and one background field as contrours
Input:
Output:
'''
from iris import Constraint
from numpy import unique
import os
import pandas as pd
track_cell=track[track['cell']==cell]
x_min=track_cell['projection_x_coordinate'].min()-width
x_max=track_cell['projection_x_coordinate'].max()+width
y_min=track_cell['projection_y_coordinate'].min()-width
y_max=track_cell['projection_y_coordinate'].max()+width
time_min=track_cell['time'].min()
# time_max=track_cell['time'].max()
track_variable_cell=track_variable[track_variable['cell']==cell]
track_variable_cell['time_cell']=pd.to_timedelta(track_variable_cell['time_cell'])
# track_variable_cell=track_variable_cell[(track_variable_cell['time']>=time_min) & (track_variable_cell['time']<=time_max)]
#set up looping over time based on mask's time coordinate to allow for one timestep before and after the track
time_coord=mask_total.coord('time')
time=time_coord.units.num2date(time_coord.points)
i_start=max(0,np.where(time==track_cell['time'].values[0])[0][0]-n_extend)
i_end=min(len(time)-1,np.where(time==track_cell['time'].values[-1])[0][0]+n_extend+1)
time_cell=time[slice(i_start,i_end)]
for time_i in time_cell:
constraint_time = Constraint(time=time_i)
constraint_x = Constraint(projection_x_coordinate = lambda cell: x_min < cell < x_max)
constraint_y = Constraint(projection_y_coordinate = lambda cell: y_min < cell < y_max)
constraint = constraint_time & constraint_x & constraint_y
mask_total_i=mask_total.extract(constraint)
if field_contour is None:
field_contour_i=None
else:
field_contour_i=field_contour.extract(constraint)
if field_filled is None:
field_filled_i=None
else:
field_filled_i=field_filled.extract(constraint)
track_i=track[track['time']==time_i]
cells_mask=list(unique(mask_total_i.core_data()))
track_cells=track_i.loc[(track_i['projection_x_coordinate'] > x_min) & (track_i['projection_x_coordinate'] < x_max) & (track_i['projection_y_coordinate'] > y_min) & (track_i['projection_y_coordinate'] < y_max)]
cells_track=list(track_cells['cell'].values)
cells=list(set( cells_mask + cells_track ))
if cell not in cells:
cells.append(cell)
if 0 in cells:
cells.remove(0)
track_i=track_i[track_i['cell'].isin(cells)]
if cog is None:
cog_i=None
else:
cog_i=cog[cog['cell'].isin(cells)]
cog_i=cog_i[cog_i['time']==time_i]
if features is None:
features_i=None
else:
features_i=features[features['time']==time_i]
fig1, ax1 = plt.subplots(ncols=2, nrows=1, figsize=figsize)
fig1.subplots_adjust(left=0.1, bottom=0.15, right=0.90, top=0.85,wspace=0.3)
datestring_stamp = time_i.strftime('%Y-%m-%d %H:%M:%S')
if time_i in track_cell['time'].values:
time_cell_i=track_cell[track_cell['time'].values==time_i]['time_cell']
celltime_stamp = "%02d:%02d:%02d" % (time_cell_i.dt.total_seconds() // 3600,
(time_cell_i.dt.total_seconds() % 3600) // 60,
time_cell_i.dt.total_seconds() % 60 )
else:
celltime_stamp=' - '
title=celltime_stamp + ' , ' + datestring_stamp
datestring_file = time_i.strftime('%Y-%m-%d_%H%M%S')
# plot evolving timeseries of variable to second axis:
ax1[0]=plot_mask_cell_individual_static(cell_i=cell,
track=track_i, cog=cog_i,features=features_i,
mask_total=mask_total_i,
field_contour=field_contour_i, field_filled=field_filled_i,
xlim=[x_min/1000,x_max/1000],ylim=[y_min/1000,y_max/1000],
axes=ax1[0],title=title,**kwargs)
track_variable_past=track_variable_cell[(track_variable_cell['time']>=time_min) & (track_variable_cell['time']<=time_i)]
track_variable_current=track_variable_cell[track_variable_cell['time']==time_i]
if variable_color is None:
variable_color='navy'
if type(variable) is str:
# logging.debug('variable: '+str(variable))
if type(variable_color) is str:
variable_color={variable:variable_color}
variable=[variable]
for i_variable,variable_i in enumerate(variable):
color=variable_color[variable_i]
ax1[1].plot(track_variable_past['time_cell'].dt.total_seconds()/ 60.,track_variable_past[variable_i].values,color=color,linestyle='-',label=variable_label[i_variable])
ax1[1].plot(track_variable_current['time_cell'].dt.total_seconds()/ 60.,track_variable_current[variable_i].values,color=color,marker='o',markersize=4,fillstyle='full')
ax1[1].yaxis.tick_right()
ax1[1].yaxis.set_label_position("right")
ax1[1].set_xlim([0,2*60])
ax1[1].set_xticks(np.arange(0,120,15))
ax1[1].set_ylim([0,max(10,1.25*track_variable_cell[variable].max().max())])
ax1[1].set_xlabel('cell lifetime (min)')
if variable_ylabel==None:
variable_ylabel=variable
ax1[1].set_ylabel(variable_ylabel)
ax1[1].set_title(title)
# insert legend, if flag is True
if variable_legend:
if (len(variable_label)<5):
ncol=1
else:
ncol=2
ax1[1].legend(loc='upper right', bbox_to_anchor=(1, 1),ncol=ncol,fontsize=8)
out_dir = os.path.join(plotdir, name)
os.makedirs(out_dir, exist_ok=True)
if 'png' in file_format:
savepath_png = os.path.join(out_dir, name + '_' + datestring_file + '.png')
fig1.savefig(savepath_png, dpi=dpi)
logging.debug('Mask static plot saved to ' + savepath_png)
if 'pdf' in file_format:
savepath_pdf = os.path.join(out_dir, name + '_' + datestring_file + '.pdf')
fig1.savefig(savepath_pdf, dpi=dpi)
logging.debug('Mask static plot saved to ' + savepath_pdf)
plt.close()
plt.clf()
def map_tracks(track,axis_extent=None,figsize=(10,10),axes=None):
for cell in track['cell'].dropna().unique():
track_i=track[track['cell']==cell]
axes.plot(track_i['longitude'],track_i['latitude'],'-')
if axis_extent:
axes.set_extent(axis_extent)
axes=make_map(axes)
return axes
def make_map(axes):
import matplotlib.ticker as mticker
import cartopy.crs as ccrs
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
gl = axes.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,
linewidth=2, color='gray', alpha=0.5, linestyle='-')
axes.coastlines('10m')
gl.xlabels_top = False
gl.ylabels_right = False
gl.xlocator = mticker.MaxNLocator(nbins=5,min_n_ticks=3,steps=None)
gl.ylocator = mticker.MaxNLocator(nbins=5,min_n_ticks=3,steps=None)
gl.xformatter = LONGITUDE_FORMATTER
gl.yformatter = LATITUDE_FORMATTER
#gl.xlabel_style = {'size': 15, 'color': 'gray'}
#gl.xlabel_style = {'color': 'red', 'weight': 'bold'}
return axes
def plot_lifetime_histogram(track,axes=None,bin_edges=np.arange(0,200,20),density=False,**kwargs):
hist, bin_edges,bin_centers = lifetime_histogram(track,bin_edges=bin_edges,density=density)
plot_hist=axes.plot(bin_centers, hist,**kwargs)
return plot_hist
def plot_lifetime_histogram_bar(track,axes=None,bin_edges=np.arange(0,200,20),density=False,width_bar=1,shift=0.5,**kwargs):
hist, bin_edges, bin_centers = lifetime_histogram(track,bin_edges=bin_edges,density=density)
plot_hist=axes.bar(bin_centers+shift,hist,width=width_bar,**kwargs)
return plot_hist
def plot_histogram_cellwise(track,bin_edges,variable,quantity,axes=None,density=False,**kwargs):
hist, bin_edges,bin_centers = histogram_cellwise(track,bin_edges=bin_edges,variable=variable,quantity=quantity,density=density)
plot_hist=axes.plot(bin_centers, hist,**kwargs)
return plot_hist
def plot_histogram_featurewise(Track,bin_edges,variable,axes=None,density=False,**kwargs):
hist, bin_edges, bin_centers = histogram_featurewise(Track,bin_edges=bin_edges,variable=variable,density=density)
plot_hist=axes.plot(bin_centers, hist,**kwargs)
return plot_hist
| 46.154389
| 219
| 0.614708
| 7,548
| 58,893
| 4.533651
| 0.063063
| 0.054004
| 0.025774
| 0.01052
| 0.81166
| 0.785535
| 0.770631
| 0.747224
| 0.733665
| 0.716745
| 0
| 0.024047
| 0.27482
| 58,893
| 1,275
| 220
| 46.190588
| 0.777208
| 0.139847
| 0
| 0.680131
| 0
| 0
| 0.072353
| 0.030001
| 0.002183
| 0
| 0
| 0
| 0
| 1
| 0.019651
| false
| 0
| 0.05786
| 0
| 0.08952
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
433e58236c454031e14219f73017c1003e0c9d8b
| 238
|
py
|
Python
|
metal/gdb/__init__.py
|
cHemingway/test
|
7fcbd56ad6fe5368b927ea146363bf3d69cd7617
|
[
"Apache-2.0"
] | 24
|
2020-07-24T18:33:58.000Z
|
2022-03-23T21:00:19.000Z
|
metal/gdb/__init__.py
|
cHemingway/test
|
7fcbd56ad6fe5368b927ea146363bf3d69cd7617
|
[
"Apache-2.0"
] | 4
|
2020-07-27T05:44:26.000Z
|
2021-09-02T16:05:47.000Z
|
metal/gdb/__init__.py
|
cHemingway/test
|
7fcbd56ad6fe5368b927ea146363bf3d69cd7617
|
[
"Apache-2.0"
] | 1
|
2020-07-25T15:13:20.000Z
|
2020-07-25T15:13:20.000Z
|
from metal.gdb.metal_break import Breakpoint, MetalBreakpoint
from metal.gdb.exitcode import ExitBreakpoint
from metal.gdb.timeout import Timeout
from metal.gdb.newlib import NewlibBreakpoints
from metal.gdb.argv import ArgvBreakpoint
| 26.444444
| 61
| 0.852941
| 32
| 238
| 6.3125
| 0.4375
| 0.222772
| 0.29703
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10084
| 238
| 8
| 62
| 29.75
| 0.943925
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
4342126f8186083b8837b5fae410f4df52ae4048
| 99
|
py
|
Python
|
charlotte/charlotte.py
|
puiterwijk/charlotte
|
42aa2a126f473fa4ddedb61eb5dc021d8d609fbe
|
[
"MIT"
] | 5
|
2018-03-28T23:02:20.000Z
|
2020-11-16T23:20:18.000Z
|
charlotte/charlotte.py
|
puiterwijk/charlotte
|
42aa2a126f473fa4ddedb61eb5dc021d8d609fbe
|
[
"MIT"
] | 1
|
2018-06-11T19:52:44.000Z
|
2018-06-11T19:52:44.000Z
|
charlotte/charlotte.py
|
puiterwijk/charlotte
|
42aa2a126f473fa4ddedb61eb5dc021d8d609fbe
|
[
"MIT"
] | 3
|
2018-06-11T18:35:20.000Z
|
2020-12-29T05:59:31.000Z
|
class Config:
def __init__(self, config_file_name):
self.config_file_name = config_file_name
| 19.8
| 42
| 0.787879
| 15
| 99
| 4.533333
| 0.466667
| 0.441176
| 0.617647
| 0.529412
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141414
| 99
| 4
| 43
| 24.75
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
4a3a7096be78dd2d3c57cba31752bc3f172e277d
| 3,475
|
py
|
Python
|
tests/test_sbfc.py
|
htwangtw/sbfc
|
5119017a643b82efbfaaf373a26f191a51f8283a
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_sbfc.py
|
htwangtw/sbfc
|
5119017a643b82efbfaaf373a26f191a51f8283a
|
[
"BSD-3-Clause"
] | 13
|
2021-04-29T16:11:18.000Z
|
2022-02-22T18:10:36.000Z
|
tests/test_sbfc.py
|
htwangtw/sbfc
|
5119017a643b82efbfaaf373a26f191a51f8283a
|
[
"BSD-3-Clause"
] | null | null | null |
import os
import numpy as np
import pandas as pd
from nilearn import datasets
from sbfc.parser import seed_base_connectivity
seed = os.path.dirname(__file__) + "/data/difumo64_pcc.nii.gz"
def _make_data_single_run(confound=True):
adhd_dataset = datasets.fetch_adhd(n_subjects=2)
group_confounds = pd.DataFrame(adhd_dataset.phenotypic)[
["Subject", "MeanFD", "age", "sex"]
]
group_confounds = group_confounds.rename(columns={"Subject": "subject_label"})
group_design_matrix = pd.DataFrame(adhd_dataset.phenotypic)[["Subject"]]
group_design_matrix = group_design_matrix.rename(
columns={"Subject": "subject_label"}
)
group_design_matrix["pheno"] = np.random.rand(2)
group_contrast = pd.DataFrame([1], columns=["pheno"])
if confound:
func_img = {
f"{sub_id}": {"func": [func], "confound": [confound]}
for func, confound, sub_id in zip(
adhd_dataset.func, adhd_dataset.confounds, group_confounds.index
)
}
else:
func_img = {
f"{sub_id}": {"func": [func], "confound": [None]}
for func, confound, sub_id in zip(
adhd_dataset.func, adhd_dataset.confounds, group_confounds.index
)
}
return func_img, group_design_matrix, group_confounds, group_contrast
def _make_data_multi_run():
adhd_dataset = datasets.fetch_adhd(n_subjects=2)
group_confounds = pd.DataFrame(adhd_dataset.phenotypic)[
["Subject", "MeanFD", "age", "sex"]
]
group_confounds = group_confounds.rename(columns={"Subject": "subject_label"})
group_design_matrix = pd.DataFrame(adhd_dataset.phenotypic)[["Subject"]]
group_design_matrix = group_design_matrix.rename(
columns={"Subject": "subject_label"}
)
group_design_matrix["pheno"] = np.random.rand(2)
group_contrast = pd.DataFrame([1], columns=["pheno"])
func_img = {
f"{sub_id}": {"func": [func, func], "confound": [confound, confound]}
for func, confound, sub_id in zip(
adhd_dataset.func, adhd_dataset.confounds, group_confounds.index
)
}
return func_img, group_design_matrix, group_confounds, group_contrast
def test_sbfc_single_run(tmpdir):
(
func_img,
group_design_matrix,
group_confounds,
group_contrast,
) = _make_data_single_run()
# Prepare seed
pcc_coords = (0, -53, 26)
first_m, first_con, s_m = seed_base_connectivity(
func_img,
pcc_coords,
group_confounds,
group_design_matrix,
group_contrast,
write_dir=tmpdir,
)
assert len(first_m) == 2
(
func_img,
group_design_matrix,
group_confounds,
group_contrast,
) = _make_data_single_run(confound=False)
# mask seed
first_m, first_con, s_m = seed_base_connectivity(
func_img,
seed,
group_confounds,
group_design_matrix,
group_contrast,
write_dir=tmpdir,
)
assert len(first_m) == 2
def test_sbfc_mutli_run(tmpdir):
(
func_img,
group_design_matrix,
group_confounds,
group_contrast,
) = _make_data_multi_run()
# mask seed
first_m, first_con, s_m = seed_base_connectivity(
func_img,
seed,
group_confounds,
group_design_matrix,
group_contrast,
write_dir=tmpdir,
)
assert len(first_m) == 2
| 29.700855
| 82
| 0.639424
| 415
| 3,475
| 4.987952
| 0.204819
| 0.114976
| 0.131401
| 0.10628
| 0.86715
| 0.851208
| 0.851208
| 0.841063
| 0.816908
| 0.816908
| 0
| 0.006166
| 0.253237
| 3,475
| 116
| 83
| 29.956897
| 0.791522
| 0.009209
| 0
| 0.64
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| 0.068915
| 0.00727
| 0
| 0
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| 0
| 0.03
| 1
| 0.04
| false
| 0
| 0.05
| 0
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| 0
| null | 0
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| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
4a48f5c7b324b298a0d8541fe2c9610bbecc1796
| 96
|
py
|
Python
|
xception/test.py
|
latentai/model-zoo-models
|
70a96e955b3b1245f8417613cd9debdae91b1d28
|
[
"Apache-2.0"
] | 8
|
2020-05-16T20:14:27.000Z
|
2020-07-08T09:23:24.000Z
|
inceptionv3/test.py
|
latentai/model-zoo-models
|
70a96e955b3b1245f8417613cd9debdae91b1d28
|
[
"Apache-2.0"
] | 9
|
2020-03-26T10:25:12.000Z
|
2022-02-28T19:54:14.000Z
|
audio_recognition/test.py
|
latentai/model-zoo-models
|
70a96e955b3b1245f8417613cd9debdae91b1d28
|
[
"Apache-2.0"
] | 6
|
2020-03-19T20:52:09.000Z
|
2022-03-06T01:33:29.000Z
|
#!/usr/bin/env python3
from utils.model_config_helpers import run_model_test
run_model_test()
| 16
| 53
| 0.822917
| 16
| 96
| 4.5625
| 0.75
| 0.219178
| 0.328767
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| 96
| 5
| 54
| 19.2
| 0.827586
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| 1
| 0
| 0
| 0
|
0
| 6
|
4a7be356f01ce20843ac2c23c55739f318ee8ab2
| 110
|
py
|
Python
|
tools/__init__.py
|
supercatex/TelloEdu
|
8f434dbc9866be3025cb119175c40f1d2d7fb5f3
|
[
"MIT"
] | 1
|
2019-12-04T04:30:06.000Z
|
2019-12-04T04:30:06.000Z
|
tools/__init__.py
|
supercatex/TelloEdu
|
8f434dbc9866be3025cb119175c40f1d2d7fb5f3
|
[
"MIT"
] | null | null | null |
tools/__init__.py
|
supercatex/TelloEdu
|
8f434dbc9866be3025cb119175c40f1d2d7fb5f3
|
[
"MIT"
] | null | null | null |
from tools.TelloEdu import TelloEdu
from tools.Controller import *
from tools.SocketObject import SocketClient
| 36.666667
| 43
| 0.863636
| 14
| 110
| 6.785714
| 0.5
| 0.284211
| 0
| 0
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| 0
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| 0
| 0.1
| 110
| 3
| 43
| 36.666667
| 0.959596
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| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
4a94f180b8cf8188f6c73d72cff2209e4e3ba275
| 8,504
|
py
|
Python
|
tests/test_email_subscriptions.py
|
coolboi567/dnstwister
|
b809ca721a13efc6b59e11587c582f6ba4b11587
|
[
"Unlicense"
] | null | null | null |
tests/test_email_subscriptions.py
|
coolboi567/dnstwister
|
b809ca721a13efc6b59e11587c582f6ba4b11587
|
[
"Unlicense"
] | null | null | null |
tests/test_email_subscriptions.py
|
coolboi567/dnstwister
|
b809ca721a13efc6b59e11587c582f6ba4b11587
|
[
"Unlicense"
] | null | null | null |
"""Tests of the email subscription mechanism."""
import binascii
import flask_webtest
import mock
import pytest
import webtest.app
import dnstwister
import dnstwister.tools
import patches
@mock.patch('dnstwister.views.www.email.emailer', patches.NoEmailer())
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_bad_domains_fail(webapp):
"""Test the email views check domain validity."""
with pytest.raises(webtest.app.AppError) as err:
webapp.get('/email/subscribe/3234jskdnfsdf7y34')
assert '400 BAD REQUEST' in err.value.message
with pytest.raises(webtest.app.AppError) as err:
webapp.post('/email/pending_verify/3234jskdnfsdf7y34')
assert '400 BAD REQUEST' in err.value.message
def test_bad_error_codes(webapp):
"""Test the email error codes being weird doesn't break the page."""
normal_html = webapp.get('/email/subscribe/7777772e6578616d706c652e636f6d').html
assert webapp.get(
'/email/subscribe/7777772e6578616d706c652e636f6d/9',
expect_errors=True
).html == normal_html
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_verification_with_bad_id(webapp):
"""Test that verifying with a dud subscription id just redirects to root.
"""
response = webapp.get('/email/verify/1234', expect_errors=True)
assert response.status_code == 302
assert response.headers['location'] == 'http://localhost/'
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_isubscriptions_with_no_subscriptions():
repository = dnstwister.repository
assert list(repository.isubscriptions()) == []
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_isubscriptions_during_subscription():
repository = dnstwister.repository
domain = 'www.example.com'
email = '[email protected]'
sub_id = '1234'
repository.subscribe_email(sub_id, email, domain, False)
subs = list(repository.isubscriptions())
assert len(subs) == 1
assert sorted(subs[0][1].keys()) == [
'domain', 'email_address', 'hide_noisy'
]
assert subs[0][1]['domain'] == domain
assert subs[0][1]['email_address'] == email
assert subs[0][1]['hide_noisy'] == False
@mock.patch('dnstwister.views.www.email.emailer', patches.NoEmailer())
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_email_address_required():
app = flask_webtest.TestApp(dnstwister.app)
domain = 'a.com'
hexdomain = binascii.hexlify(domain)
subscribe_path = '/email/subscribe/{}'.format(hexdomain)
subscribe_page = app.get(subscribe_path)
assert 'Email address is required' not in subscribe_page.body
subscribe_page.form['email_address'] = ' '
response = subscribe_page.form.submit()
assert response.status_code == 302
assert response.headers['location'] == 'http://localhost/email/subscribe/{}/0?hide_noisy=False'.format(hexdomain)
assert 'Email address is required' in response.follow().body
@mock.patch('dnstwister.views.www.email.emailer', patches.NoEmailer())
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_email_address_validation_remembers_hide_noisy_flag():
app = flask_webtest.TestApp(dnstwister.app)
domain = 'a.com'
hexdomain = binascii.hexlify(domain)
subscribe_path = '/email/subscribe/{}'.format(hexdomain)
subscribe_page = app.get(subscribe_path)
subscribe_page.form['email_address'] = ' '
subscribe_page.form['hide_noisy'] = 'true'
response = subscribe_page.form.submit()
assert response.status_code == 302
assert response.headers['location'] == 'http://localhost/email/subscribe/{}/0?hide_noisy=True'.format(hexdomain)
assert 'Email address is required' in response.follow().body
@mock.patch('dnstwister.views.www.email.emailer', patches.NoEmailer())
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_isubscriptions_link():
app = flask_webtest.TestApp(dnstwister.app)
emailer = dnstwister.views.www.email.emailer
repository = dnstwister.repository
assert emailer.sent_emails == []
domain = 'a.com'
hexdomain = dnstwister.tools.encode_domain(domain)
subscribe_path = '/email/subscribe/{}'.format(hexdomain)
search_page = app.get('/search/{}'.format(hexdomain))
assert subscribe_path in search_page.body
subscribe_page = app.get(subscribe_path)
subscribe_page.form['email_address'] = '[email protected]'
subscribe_page.form.submit()
assert list(repository.isubscriptions()) == []
verify_code = repository.db.data.items()[0][0].split(
'email_sub_pending:'
)[1]
verify_path = '/email/verify/{}'.format(
verify_code
)
verify_url = 'http://localhost{}'.format(verify_path)
assert len(emailer.sent_emails) == 1
sent_email = emailer.sent_emails[0][:2]
assert sent_email == (
'[email protected]', 'Please verify your subscription'
)
assert verify_url in emailer.sent_emails[0][2]
subscribed_page = app.get(verify_path)
assert 'You are now subscribed' in subscribed_page.body
assert len(list(repository.isubscriptions())) == 1
@mock.patch('dnstwister.views.www.email.emailer', patches.NoEmailer())
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_unsubscribe():
"""Test can unsubscribe."""
app = flask_webtest.TestApp(dnstwister.app)
repository = dnstwister.repository
domain = 'www.example.com'
email = '[email protected]'
sub_id = '1234'
assert len(list(repository.isubscriptions())) == 0
repository.subscribe_email(sub_id, email, domain, False)
assert len(list(repository.isubscriptions())) == 1
app.get('/email/unsubscribe/{}'.format(sub_id))
assert len(list(repository.isubscriptions())) == 0
@mock.patch('dnstwister.views.www.email.emailer', patches.NoEmailer())
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_isubscriptions_link_unicode():
app = flask_webtest.TestApp(dnstwister.app)
emailer = dnstwister.views.www.email.emailer
repository = dnstwister.repository
assert emailer.sent_emails == []
domain = u'\u0454a.com' # ea.com, but with a funny 'e'
hexdomain = dnstwister.tools.encode_domain(domain)
subscribe_path = '/email/subscribe/{}'.format(hexdomain)
search_page = app.get('/search/{}'.format(hexdomain))
assert subscribe_path in search_page.body
subscribe_page = app.get(subscribe_path)
assert '\xd1\x94a.com (xn--a-9ub.com)' in subscribe_page.body
subscribe_page.form['email_address'] = '[email protected]'
pending_page = subscribe_page.form.submit()
assert pending_page.request.url.endswith('pending_verify/786e2d2d612d3975622e636f6d')
assert '\xd1\x94a.com (xn--a-9ub.com)' in pending_page.body
assert list(repository.isubscriptions()) == []
verify_code = repository.db.data.items()[0][0].split(
'email_sub_pending:'
)[1]
verify_path = '/email/verify/{}'.format(
verify_code
)
verify_url = 'http://localhost{}'.format(verify_path)
assert len(emailer.sent_emails) == 1
sent_email = emailer.sent_emails[0][:2]
assert sent_email == (
'[email protected]', 'Please verify your subscription'
)
assert verify_url in emailer.sent_emails[0][2]
subscribed_page = app.get(verify_path)
assert 'You are now subscribed' in subscribed_page.body
assert '\xd1\x94a.com (xn--a-9ub.com)' in subscribed_page.body
assert len(list(repository.isubscriptions())) == 1
@mock.patch('dnstwister.views.www.email.emailer', patches.NoEmailer())
@mock.patch('dnstwister.repository.db', patches.SimpleKVDatabase())
def test_unsubscribe_unicode():
"""Test can unsubscribe."""
app = flask_webtest.TestApp(dnstwister.app)
repository = dnstwister.repository
domain = u'www.\u0454xample.com'
email = '[email protected]'
sub_id = '1234'
assert len(list(repository.isubscriptions())) == 0
repository.subscribe_email(sub_id, email, domain, False)
assert len(list(repository.isubscriptions())) == 1
app.get('/email/unsubscribe/{}'.format(sub_id))
assert len(list(repository.isubscriptions())) == 0
| 32.212121
| 118
| 0.688147
| 1,011
| 8,504
| 5.647873
| 0.148368
| 0.026795
| 0.056567
| 0.050788
| 0.820666
| 0.789142
| 0.789142
| 0.788091
| 0.778459
| 0.704203
| 0
| 0.024024
| 0.177681
| 8,504
| 263
| 119
| 32.334601
| 0.792507
| 0.03516
| 0
| 0.692308
| 0
| 0
| 0.209455
| 0.092277
| 0
| 0
| 0
| 0
| 0.260355
| 1
| 0.065089
| false
| 0
| 0.047337
| 0
| 0.112426
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
4aa2c859139d7fe0cc49624a8f1cffa727776312
| 9,913
|
py
|
Python
|
Segment/models/other/fcn.py
|
YuHe0108/cvmodule
|
ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd
|
[
"Apache-2.0"
] | null | null | null |
Segment/models/other/fcn.py
|
YuHe0108/cvmodule
|
ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd
|
[
"Apache-2.0"
] | null | null | null |
Segment/models/other/fcn.py
|
YuHe0108/cvmodule
|
ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd
|
[
"Apache-2.0"
] | null | null | null |
# from tensorflow.keras import Model, Input
# from tensorflow.keras.applications import vgg16, resnet50
# from tensorflow.keras.layers import (Conv2D, Conv2DTranspose, Cropping2D, add, Dropout, Reshape, Activation)
# from tensorflow.keras import layers
# import tensorflow as tf
#
# """
# FCN-8特点:
# 1、不含全连接层(fc)的全卷积(fully conv)网络。可适应任意尺寸输入。
# 2、增大数据尺寸的反卷积(deconv)层。能够输出精细的结果。
# 3、结合不同深度层结果的跳级(skip)结构。同时确保鲁棒性和精确性。
# 4、使用 skip 结构融合多层（3层）输出，底层网络可以预测更多的位置信息，因为感受野小可以看到小的 pixels
# 上采样 lower-resolution layers 时，如果采样后的图因为 padding 等原因和前面的图大小不同，使用 crop,
# 当裁剪成大小相同的，spatially aligned ，使用 concat 操作融合两个层。
#
# FCN-8、FCN-16、FCN-32的区别与联系: 最后上采样的过程中，放大的倍数，
# 1、区别: FCN模型会输出三种尺寸的特征图: [b, 16, 16, filters], 这时候直接上采样32倍，可以得到 [b, 16*32, 16*32, n_classes],
# 如果直接上采样 32 倍预测输出，被称为 FCN-32。
# FCN-16 和 FCN-8 则是融合了不同阶段的特征图，最终输出的时候，上采样16倍和8倍得到。
# """
#
#
# def fcn8_helper(input_shape, num_classes, backbone):
# assert input_shape[0] % 32 == 0
# assert input_shape[1] % 32 == 0
#
# inputs = Input(input_shape)
# if backbone == 'vgg16':
# base_model = vgg16.VGG16(input_tensor=inputs,
# include_top=False,
# weights='imagenet',
# pooling=None,
# classes=100)
# elif backbone == 'resnet50':
# base_model = resnet50.ResNet50(input_tensor=inputs,
# include_top=False,
# weights='imagenet',
# pooling=None,
# classes=1000)
# assert isinstance(base_model, Model)
# base_model.trainable = False # 是否固定特征提取单元
#
# out = Conv2D(
# filters=1024, kernel_size=7, padding="same", activation="relu", name="fc6")(base_model.output)
# out = Dropout(rate=0.5)(out)
# out = Conv2D(
# filters=1024, kernel_size=1, padding="same", activation="relu", name="fc7")(out)
# out = Dropout(rate=0.5)(out)
# out = Conv2D(
# filters=num_classes, kernel_size=(1, 1), padding="same", activation="relu",
# kernel_initializer="he_normal", name="score_fr")(out)
#
# # [B, 8, 8, filters] * 2 --> [None, 16, 16, n_classes]
# out = Conv2DTranspose(
# filters=num_classes, kernel_size=(2, 2), strides=(2, 2), padding="valid", activation=None, name="score2")(out)
#
# fcn8 = Model(inputs=inputs, outputs=out)
# return fcn8
#
#
# def fcn8_model(input_shape, num_classes):
# fcn8 = fcn8_helper(input_shape, num_classes, backbone='vgg16')
#
# # "block4_pool" shape: [B, 16, 16, 512] 跳跃连接融合低级特征:
# skip_con1 = Conv2D(
# num_classes, kernel_size=(1, 1), padding="same", activation=None,
# kernel_initializer="he_normal", name="score_pool4")(fcn8.get_layer("block4_pool").output)
# Summed = add(inputs=[skip_con1, fcn8.output])
#
# # [B, 32, 32, num_classes]
# x = Conv2DTranspose(
# num_classes, kernel_size=(2, 2), strides=(2, 2), padding="valid", activation=None, name="score4")(Summed)
#
# # block3_pool: [B, 32, 32, filters]
# skip_con2 = Conv2D(
# num_classes, kernel_size=(1, 1), padding="same", activation=None,
# kernel_initializer="he_normal", name="score_pool3")(fcn8.get_layer("block3_pool").output)
# Summed2 = add(inputs=[skip_con2, x])
#
# # 上采样8倍, 直接由 [B, 32, 32, filters] --> [B, 32*8, 32*8, n_classes]
# outputs = Conv2DTranspose(
# num_classes, kernel_size=(8, 8), strides=(8, 8), padding="valid",
# activation='sigmoid', name="upsample")(Summed2)
#
# if num_classes == 1:
# outputs = layers.Activation('sigmoid')(outputs)
# else:
# outputs = layers.Softmax()(outputs)
#
# fcn_model = Model(inputs=fcn8.input, outputs=outputs, name='FCN8s')
# return fcn_model
#
#
# def fcn8_model_resnet50(input_shape, num_classes):
# fcn8 = fcn8_helper(input_shape, num_classes, backbone='resnet50')
#
# # "block4_pool" shape: [B, 16, 16, 1024] 跳跃连接融合低级特征:
# skip_con1 = Conv2D(
# num_classes, kernel_size=(1, 1), padding="same", activation=None,
# kernel_initializer="he_normal", name="score_pool4")(fcn8.get_layer("conv4_block6_out").output)
# Summed = add(inputs=[skip_con1, fcn8.output])
#
# # [B, 32, 32, num_classes]
# x = Conv2DTranspose(
# num_classes, kernel_size=(2, 2), strides=(2, 2), padding="valid", activation=None, name="score4")(Summed)
#
# # block3_pool: [B, 32, 32, 512]
# skip_con2 = Conv2D(
# num_classes, kernel_size=(1, 1), padding="same", activation=None,
# kernel_initializer="he_normal", name="score_pool3")(fcn8.get_layer("conv3_block4_out").output)
# Summed2 = add(inputs=[skip_con2, x])
#
# # 上采样8倍, 直接由 [B, 32, 32, filters] --> [B, 32*8, 32*8, n_classes]
# outputs = Conv2DTranspose(
# num_classes, kernel_size=(8, 8), strides=(8, 8), padding="valid",
# activation='sigmoid', name="upsample")(Summed2)
#
# if num_classes == 1:
# outputs = layers.Activation('sigmoid')(outputs)
# else:
# outputs = layers.Softmax()(outputs)
#
# fcn_model = Model(inputs=fcn8.input, outputs=outputs, name='FCN8s')
# return fcn_model
#
#
# if __name__ == '__main__':
# # m = FCN8(15, 320, 320)
# # from keras.utils import plot_model
# #
# # plot_model(m, show_shapes=True, to_file='model_fcn8.png')
# # print(len(m.layers))
# model_1 = fcn8_model_resnet50(input_shape=(256, 256, 3), num_classes=1)
# model_1.summary()
# # inputs = tf.keras.Input((256, 256, 3))
# # base_model = resnet50.ResNet50(input_tensor=inputs,
# # include_top=False,
# # weights='imagenet',
# # pooling=None,
# # classes=1000)
# # base_model.summary()
from tensorflow.keras.layers import (Conv2D, Conv2DTranspose, Cropping2D, add, Dropout, Reshape, Activation)
from tensorflow.keras.applications import vgg16, resnet50
from tensorflow.keras import Model, Input
from tensorflow.keras import layers
"""
FCN-8特点:
1、不含全连接层(fc)的全卷积(fully conv)网络。可适应任意尺寸输入。
2、增大数据尺寸的反卷积(deconv)层。能够输出精细的结果。
3、结合不同深度层结果的跳级(skip)结构。同时确保鲁棒性和精确性。
4、使用 skip 结构融合多层（3层）输出，底层网络可以预测更多的位置信息，因为感受野小可以看到小的 pixels
上采样 lower-resolution layers 时，如果采样后的图因为 padding 等原因和前面的图大小不同，使用 crop,
当裁剪成大小相同的，spatially aligned ，使用 concat 操作融合两个层。
FCN-8、FCN-16、FCN-32的区别与联系: 最后上采样的过程中，放大的倍数，
1、区别: FCN模型会输出三种尺寸的特征图: [b, 16, 16, filters], 这时候直接上采样32倍，可以得到 [b, 16*32, 16*32, n_classes],
如果直接上采样 32 倍预测输出，被称为 FCN-32。
FCN-16 和 FCN-8 则是融合了不同阶段的特征图，最终输出的时候，上采样16倍和8倍得到。
"""
def fcn8_helper(input_shape, num_classes, weight_name='imagenet'):
assert input_shape[0] % 32 == 0
assert input_shape[1] % 32 == 0
inputs = Input(input_shape)
base_model = vgg16.VGG16(input_tensor=inputs,
include_top=False,
weights=weight_name,
pooling=None,
classes=100)
assert isinstance(base_model, Model)
# base_model.trainable = False # 是否固定特征提取单元
out = Conv2D(
filters=1024, kernel_size=7, padding="same", activation="relu", name="fc6")(base_model.output)
out = Dropout(rate=0.5)(out)
out = Conv2D(
filters=1024, kernel_size=1, padding="same", activation="relu", name="fc7")(out)
out = Dropout(rate=0.5)(out)
out = Conv2D(
filters=num_classes, kernel_size=(1, 1), padding="same", activation="relu",
kernel_initializer="he_normal", name="score_fr")(out)
# [B, 8, 8, filters] * 2 --> [None, 16, 16, n_classes]
out = Conv2DTranspose(
filters=num_classes, kernel_size=(2, 2), strides=(2, 2), padding="valid", activation=None, name="score2")(out)
fcn8 = Model(inputs=inputs, outputs=out)
return fcn8
def fcn8_model(input_shape, num_classes):
fcn8 = fcn8_helper(input_shape, num_classes)
# "block4_pool" shape: [B, 16, 16, 512] 跳跃连接融合低级特征:
skip_con1 = Conv2D(
num_classes, kernel_size=(1, 1), padding="same", activation=None,
kernel_initializer="he_normal", name="score_pool4")(fcn8.get_layer("block4_pool").output)
Summed = add(inputs=[skip_con1, fcn8.output])
# [B, 32, 32, num_classes]
x = Conv2DTranspose(
num_classes, kernel_size=(2, 2), strides=(2, 2), padding="valid", activation=None, name="score4")(Summed)
# block3_pool: [B, 32, 32, filters]
skip_con2 = Conv2D(
num_classes, kernel_size=(1, 1), padding="same", activation=None,
kernel_initializer="he_normal", name="score_pool3")(fcn8.get_layer("block3_pool").output)
Summed2 = add(inputs=[skip_con2, x])
# 上采样8倍, 直接由 [B, 32, 32, filters] --> [B, 32*8, 32*8, n_classes]
outputs = Conv2DTranspose(
num_classes, kernel_size=(8, 8), strides=(8, 8), padding="valid",
activation='sigmoid', name="upsample")(Summed2)
if num_classes == 1:
outputs = layers.Activation('sigmoid')(outputs)
else:
outputs = layers.Softmax()(outputs)
fcn_model = Model(inputs=fcn8.input, outputs=outputs, name='FCN8s')
# for layer_ in fcn_model.layers[:]:
# layer_.trainable = True
return fcn_model
if __name__ == '__main__':
# m = FCN8(15, 320, 320)
# from keras.utils import plot_model
#
# plot_model(m, show_shapes=True, to_file='model_fcn8.png')
# print(len(m.layers))
model_1 = fcn8_model(input_shape=(256, 256, 3), num_classes=1)
model_1.summary()
| 42.182979
| 121
| 0.605468
| 1,208
| 9,913
| 4.800497
| 0.143212
| 0.055182
| 0.044146
| 0.055182
| 0.958441
| 0.949991
| 0.946543
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| 0.945163
| 0.933092
| 0
| 0.062593
| 0.25058
| 9,913
| 234
| 122
| 42.363248
| 0.717997
| 0.618884
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| 0.137255
| 0
| 0
| 0.066905
| 0
| 0
| 0
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| 0
| 0.058824
| 1
| 0.039216
| false
| 0
| 0.078431
| 0
| 0.156863
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
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| 0
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0
| 6
|
4aa6a27eafd16cd1848b1b408b9c5ae618566d25
| 43,229
|
py
|
Python
|
cirq/google/engine/engine_client_test.py
|
lilies/Cirq
|
519b8b70ba4d2d92d1c034c398161ebdbd23e2e7
|
[
"Apache-2.0"
] | 1
|
2020-04-06T17:06:10.000Z
|
2020-04-06T17:06:10.000Z
|
cirq/google/engine/engine_client_test.py
|
lilies/Cirq
|
519b8b70ba4d2d92d1c034c398161ebdbd23e2e7
|
[
"Apache-2.0"
] | null | null | null |
cirq/google/engine/engine_client_test.py
|
lilies/Cirq
|
519b8b70ba4d2d92d1c034c398161ebdbd23e2e7
|
[
"Apache-2.0"
] | 1
|
2020-04-14T15:29:29.000Z
|
2020-04-14T15:29:29.000Z
|
# Copyright 2020 The Cirq Developers
#
# 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
#
# https://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.
"""Tests for EngineClient."""
import datetime
from unittest import mock
import pytest
from google.api_core import exceptions
from google.protobuf.field_mask_pb2 import FieldMask
from google.protobuf.timestamp_pb2 import Timestamp
from cirq.google.engine.engine_client import EngineClient, EngineException
from cirq.google.engine.client import quantum
from cirq.google.engine.client.quantum_v1alpha1 import enums as qenums
from cirq.google.engine.client.quantum_v1alpha1 import types as qtypes
def setup_mock_(client_constructor):
grpc_client = mock.Mock()
client_constructor.return_value = grpc_client
return grpc_client
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_create_program(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumProgram(name='projects/proj/programs/prog')
grpc_client.create_quantum_program.return_value = result
code = qtypes.any_pb2.Any()
labels = {'hello': 'world'}
client = EngineClient()
assert client.create_program('proj', 'prog', code, 'A program',
labels) == ('prog', result)
assert grpc_client.create_quantum_program.call_args[0] == (
'projects/proj',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
code=code,
description='A program',
labels=labels), False)
assert client.create_program('proj', 'prog', code,
'A program') == ('prog', result)
assert grpc_client.create_quantum_program.call_args[0] == (
'projects/proj',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
code=code,
description='A program'), False)
assert client.create_program('proj', 'prog', code,
labels=labels) == ('prog', result)
assert grpc_client.create_quantum_program.call_args[0] == (
'projects/proj',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
code=code,
labels=labels), False)
assert client.create_program('proj', 'prog', code) == ('prog', result)
assert grpc_client.create_quantum_program.call_args[0] == (
'projects/proj',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
code=code), False)
assert client.create_program('proj', program_id=None,
code=code) == ('prog', result)
assert grpc_client.create_quantum_program.call_args[0] == (
'projects/proj', qtypes.QuantumProgram(code=code), False)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_program(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumProgram(name='projects/proj/programs/prog')
grpc_client.get_quantum_program.return_value = result
client = EngineClient()
assert client.get_program('proj', 'prog', False) == result
assert grpc_client.get_quantum_program.call_args[0] == (
'projects/proj/programs/prog', False)
assert client.get_program('proj', 'prog', True) == result
assert grpc_client.get_quantum_program.call_args[0] == (
'projects/proj/programs/prog', True)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_program(client_constructor):
grpc_client = setup_mock_(client_constructor)
results = [
qtypes.QuantumProgram(name='projects/proj/programs/prog1'),
qtypes.QuantumProgram(name='projects/proj/programs/prog2')
]
grpc_client.list_quantum_programs.return_value = results
client = EngineClient()
assert client.list_programs(project_id='proj') == results
assert grpc_client.list_quantum_programs.call_args[0] == ('projects/proj',)
assert grpc_client.list_quantum_programs.call_args[1] == {
'filter_': '',
}
# yapf: disable
@pytest.mark.parametrize(
'expected_filter, created_after, created_before, labels',
[
('',
None,
None,
None),
('create_time >= 2020-09-01',
datetime.date(2020, 9, 1),
None,
None),
('create_time >= 1598918400',
datetime.datetime(2020, 9, 1, 0, 0, 0,
tzinfo=datetime.timezone.utc),
None,
None),
('create_time <= 2020-10-01',
None,
datetime.date(2020, 10, 1),
None),
('create_time >= 2020-09-01 AND create_time <= 1598918410',
datetime.date(2020, 9, 1),
datetime.datetime(2020, 9, 1, 0, 0, 10,
tzinfo=datetime.timezone.utc),
None),
('labels.color:red AND labels.shape:*',
None,
None,
{
'color': 'red',
'shape': '*'
},
),
('create_time >= 2020-08-01 AND '
'create_time <= 1598918400 AND '
'labels.color:red AND labels.shape:*',
datetime.date(2020, 8, 1),
datetime.datetime(2020, 9, 1, tzinfo=datetime.timezone.utc),
{
'color': 'red',
'shape': '*'
},
),
])
# yapf: enable
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_program_filters(client_constructor, expected_filter,
created_before, created_after, labels):
grpc_client = setup_mock_(client_constructor)
client = EngineClient()
client.list_programs(project_id='proj',
created_before=created_before,
created_after=created_after,
has_labels=labels)
assert grpc_client.list_quantum_programs.call_args[1] == {
'filter_': expected_filter,
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_program_filters_invalid_type(client_constructor):
with pytest.raises(ValueError, match=""):
EngineClient().list_programs(project_id='proj',
created_before="Unsupported date/time")
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_set_program_description(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumProgram(name='projects/proj/programs/prog')
grpc_client.update_quantum_program.return_value = result
client = EngineClient()
assert client.set_program_description('proj', 'prog', 'A program') == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
description='A program'),
qtypes.field_mask_pb2.FieldMask(paths=['description']))
assert client.set_program_description('proj', 'prog', '') == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog'),
qtypes.field_mask_pb2.FieldMask(paths=['description']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_set_program_labels(client_constructor):
grpc_client = setup_mock_(client_constructor)
grpc_client.get_quantum_program.return_value = qtypes.QuantumProgram(
labels={
'color': 'red',
'weather': 'sun',
'run': '1'
},
label_fingerprint='hash')
result = qtypes.QuantumProgram(name='projects/proj/programs/prog')
grpc_client.update_quantum_program.return_value = result
client = EngineClient()
labels = {'hello': 'world', 'color': 'blue', 'run': '1'}
assert client.set_program_labels('proj', 'prog', labels) == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
labels=labels,
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
assert client.set_program_labels('proj', 'prog', {}) == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_add_program_labels(client_constructor):
grpc_client = setup_mock_(client_constructor)
existing = qtypes.QuantumProgram(labels={
'color': 'red',
'weather': 'sun',
'run': '1'
},
label_fingerprint='hash')
grpc_client.get_quantum_program.return_value = existing
result = qtypes.QuantumProgram(name='projects/proj/programs/prog')
grpc_client.update_quantum_program.return_value = result
client = EngineClient()
assert client.add_program_labels('proj', 'prog',
{'color': 'red'}) == existing
assert grpc_client.update_quantum_program.call_count == 0
assert client.add_program_labels('proj', 'prog',
{'hello': 'world'}) == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
labels={
'color': 'red',
'weather': 'sun',
'run': '1',
'hello': 'world'
},
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
assert client.add_program_labels('proj', 'prog', {
'hello': 'world',
'color': 'blue'
}) == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
labels={
'color': 'blue',
'weather': 'sun',
'run': '1',
'hello': 'world'
},
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_remove_program_labels(client_constructor):
grpc_client = setup_mock_(client_constructor)
existing = qtypes.QuantumProgram(labels={
'color': 'red',
'weather': 'sun',
'run': '1'
},
label_fingerprint='hash')
grpc_client.get_quantum_program.return_value = existing
result = qtypes.QuantumProgram(name='projects/proj/programs/prog')
grpc_client.update_quantum_program.return_value = result
client = EngineClient()
assert client.remove_program_labels('proj', 'prog', ['other']) == existing
assert grpc_client.update_quantum_program.call_count == 0
assert client.remove_program_labels('proj', 'prog',
['hello', 'weather']) == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
labels={
'color': 'red',
'run': '1',
},
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
assert client.remove_program_labels('proj', 'prog',
['color', 'weather', 'run']) == result
assert grpc_client.update_quantum_program.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog',
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_delete_program(client_constructor):
grpc_client = setup_mock_(client_constructor)
client = EngineClient()
assert not client.delete_program('proj', 'prog')
assert grpc_client.delete_quantum_program.call_args[0] == (
'projects/proj/programs/prog', False)
assert not client.delete_program('proj', 'prog', delete_jobs=True)
assert grpc_client.delete_quantum_program.call_args[0] == (
'projects/proj/programs/prog', True)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_create_job(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0')
grpc_client.create_quantum_job.return_value = result
run_context = qtypes.any_pb2.Any()
labels = {'hello': 'world'}
client = EngineClient()
assert client.create_job('proj', 'prog', 'job0', ['processor0'],
run_context, 10, 'A job',
labels) == ('job0', result)
assert grpc_client.create_quantum_job.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumJob(
name='projects/proj/programs/prog/jobs/job0',
run_context=run_context,
scheduling_config=qtypes.SchedulingConfig(
priority=10,
processor_selector=qtypes.SchedulingConfig.ProcessorSelector(
processor_names=['projects/proj/processors/processor0'])),
description='A job',
labels=labels), False)
assert client.create_job(
'proj',
'prog',
'job0',
['processor0'],
run_context,
10,
'A job',
) == ('job0', result)
assert grpc_client.create_quantum_job.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumJob(
name='projects/proj/programs/prog/jobs/job0',
run_context=run_context,
scheduling_config=qtypes.SchedulingConfig(
priority=10,
processor_selector=qtypes.SchedulingConfig.ProcessorSelector(
processor_names=['projects/proj/processors/processor0'])),
description='A job'), False)
assert client.create_job('proj',
'prog',
'job0', ['processor0'],
run_context,
10,
labels=labels) == ('job0', result)
assert grpc_client.create_quantum_job.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumJob(
name='projects/proj/programs/prog/jobs/job0',
run_context=run_context,
scheduling_config=qtypes.SchedulingConfig(
priority=10,
processor_selector=qtypes.SchedulingConfig.ProcessorSelector(
processor_names=['projects/proj/processors/processor0'])),
labels=labels), False)
assert client.create_job('proj', 'prog', 'job0', ['processor0'],
run_context, 10) == ('job0', result)
assert grpc_client.create_quantum_job.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumJob(
name='projects/proj/programs/prog/jobs/job0',
run_context=run_context,
scheduling_config=qtypes.SchedulingConfig(
priority=10,
processor_selector=qtypes.SchedulingConfig.ProcessorSelector(
processor_names=['projects/proj/processors/processor0'])),
), False)
assert client.create_job('proj',
'prog',
job_id=None,
processor_ids=['processor0'],
run_context=run_context,
priority=10) == ('job0', result)
assert grpc_client.create_quantum_job.call_args[0] == (
'projects/proj/programs/prog',
qtypes.QuantumJob(
run_context=run_context,
scheduling_config=qtypes.SchedulingConfig(
priority=10,
processor_selector=qtypes.SchedulingConfig.ProcessorSelector(
processor_names=['projects/proj/processors/processor0'])),
), False)
with pytest.raises(ValueError, match='priority must be between 0 and 1000'):
client.create_job('proj',
'prog',
job_id=None,
processor_ids=['processor0'],
run_context=run_context,
priority=5000)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_job(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0')
grpc_client.get_quantum_job.return_value = result
client = EngineClient()
assert client.get_job('proj', 'prog', 'job0', False) == result
assert grpc_client.get_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0', False)
assert client.get_job('proj', 'prog', 'job0', True) == result
assert grpc_client.get_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0', True)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_set_job_description(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0')
grpc_client.update_quantum_job.return_value = result
client = EngineClient()
assert client.set_job_description('proj', 'prog', 'job0', 'A job') == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0',
description='A job'),
qtypes.field_mask_pb2.FieldMask(paths=['description']))
assert client.set_job_description('proj', 'prog', 'job0', '') == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0'),
qtypes.field_mask_pb2.FieldMask(paths=['description']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_set_job_labels(client_constructor):
grpc_client = setup_mock_(client_constructor)
grpc_client.get_quantum_job.return_value = qtypes.QuantumJob(
labels={
'color': 'red',
'weather': 'sun',
'run': '1'
},
label_fingerprint='hash')
result = qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0')
grpc_client.update_quantum_job.return_value = result
client = EngineClient()
labels = {'hello': 'world', 'color': 'blue', 'run': '1'}
assert client.set_job_labels('proj', 'prog', 'job0', labels) == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0',
labels=labels,
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
assert client.set_job_labels('proj', 'prog', 'job0', {}) == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0',
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_add_job_labels(client_constructor):
grpc_client = setup_mock_(client_constructor)
existing = qtypes.QuantumJob(labels={
'color': 'red',
'weather': 'sun',
'run': '1'
},
label_fingerprint='hash')
grpc_client.get_quantum_job.return_value = existing
result = qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0')
grpc_client.update_quantum_job.return_value = result
client = EngineClient()
assert client.add_job_labels('proj', 'prog', 'job0',
{'color': 'red'}) == existing
assert grpc_client.update_quantum_job.call_count == 0
assert client.add_job_labels('proj', 'prog', 'job0',
{'hello': 'world'}) == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0',
labels={
'color': 'red',
'weather': 'sun',
'run': '1',
'hello': 'world'
},
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
assert client.add_job_labels('proj', 'prog', 'job0', {
'hello': 'world',
'color': 'blue'
}) == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0',
labels={
'color': 'blue',
'weather': 'sun',
'run': '1',
'hello': 'world'
},
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_remove_job_labels(client_constructor):
grpc_client = setup_mock_(client_constructor)
existing = qtypes.QuantumJob(labels={
'color': 'red',
'weather': 'sun',
'run': '1'
},
label_fingerprint='hash')
grpc_client.get_quantum_job.return_value = existing
result = qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0')
grpc_client.update_quantum_job.return_value = result
client = EngineClient()
assert client.remove_job_labels('proj', 'prog', 'job0',
['other']) == existing
assert grpc_client.update_quantum_program.call_count == 0
assert client.remove_job_labels('proj', 'prog', 'job0',
['hello', 'weather']) == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0',
labels={
'color': 'red',
'run': '1',
},
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
assert client.remove_job_labels('proj', 'prog', 'job0',
['color', 'weather', 'run']) == result
assert grpc_client.update_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job0',
label_fingerprint='hash'),
qtypes.field_mask_pb2.FieldMask(paths=['labels']))
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_delete_job(client_constructor):
grpc_client = setup_mock_(client_constructor)
client = EngineClient()
assert not client.delete_job('proj', 'prog', 'job0')
assert grpc_client.delete_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_cancel_job(client_constructor):
grpc_client = setup_mock_(client_constructor)
client = EngineClient()
assert not client.cancel_job('proj', 'prog', 'job0')
assert grpc_client.cancel_quantum_job.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_job_results(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumResult(
parent='projects/proj/programs/prog/jobs/job0')
grpc_client.get_quantum_result.return_value = result
client = EngineClient()
assert client.get_job_results('proj', 'prog', 'job0') == result
assert grpc_client.get_quantum_result.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_jobs(client_constructor):
grpc_client = setup_mock_(client_constructor)
results = [
qtypes.QuantumJob(name='projects/proj/programs/prog1/jobs/job1'),
qtypes.QuantumJob(name='projects/proj/programs/prog1/jobs/job2')
]
grpc_client.list_quantum_jobs.return_value = results
client = EngineClient()
assert client.list_jobs(project_id='proj', program_id='prog1') == results
assert grpc_client.list_quantum_jobs.call_args[0] == (
'projects/proj/programs/prog1',)
assert grpc_client.list_quantum_jobs.call_args[1] == {
'filter_': '',
}
assert client.list_jobs(project_id='proj') == results
assert grpc_client.list_quantum_jobs.call_args[0] == (
'projects/proj/programs/-',)
assert grpc_client.list_quantum_jobs.call_args[1] == {
'filter_': '',
}
# yapf: disable
@pytest.mark.parametrize(
'expected_filter, '
'created_after, '
'created_before, '
'labels, '
'execution_states',
[
('',
None,
None,
None,
None),
('create_time >= 2020-09-01',
datetime.date(2020, 9, 1),
None,
None,
None),
('create_time >= 1598918400',
datetime.datetime(2020, 9, 1, 0, 0, 0,
tzinfo=datetime.timezone.utc),
None,
None,
None),
('create_time <= 2020-10-01',
None,
datetime.date(2020, 10, 1),
None,
None),
('create_time >= 2020-09-01 AND create_time <= 1598918410',
datetime.date(2020, 9, 1),
datetime.datetime(2020, 9, 1, 0, 0, 10,
tzinfo=datetime.timezone.utc),
None,
None),
('labels.color:red AND labels.shape:*',
None,
None,
{
'color': 'red',
'shape': '*'
},
None
),
('(execution_status.state = FAILURE OR '
'execution_status.state = CANCELLED)',
None,
None,
None,
[quantum.enums.ExecutionStatus.State.FAILURE,
quantum.enums.ExecutionStatus.State.CANCELLED,]
),
('create_time >= 2020-08-01 AND '
'create_time <= 1598918400 AND '
'labels.color:red AND labels.shape:* AND '
'(execution_status.state = SUCCESS)',
datetime.date(2020, 8, 1),
datetime.datetime(2020, 9, 1, tzinfo=datetime.timezone.utc),
{
'color': 'red',
'shape': '*'
},
[quantum.enums.ExecutionStatus.State.SUCCESS,],
),
])
# yapf: enable
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_jobs_filters(client_constructor, expected_filter, created_before,
created_after, labels, execution_states):
grpc_client = setup_mock_(client_constructor)
client = EngineClient()
client.list_jobs(project_id='proj',
program_id='prog',
created_before=created_before,
created_after=created_after,
has_labels=labels,
execution_states=execution_states)
assert grpc_client.list_quantum_jobs.call_args[1] == {
'filter_': expected_filter,
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_processors(client_constructor):
grpc_client = setup_mock_(client_constructor)
results = [
qtypes.QuantumProcessor(name='projects/proj/processor/processor0'),
qtypes.QuantumProcessor(name='projects/proj/processor/processor1')
]
grpc_client.list_quantum_processors.return_value = results
client = EngineClient()
assert client.list_processors('proj') == results
assert grpc_client.list_quantum_processors.call_args[0] == (
'projects/proj',)
assert grpc_client.list_quantum_processors.call_args[1] == {
'filter_': '',
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_processor(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumProcessor(name='projects/proj/processors/processor0')
grpc_client.get_quantum_processor.return_value = result
client = EngineClient()
assert client.get_processor('proj', 'processor0') == result
assert grpc_client.get_quantum_processor.call_args[0] == (
'projects/proj/processors/processor0',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_calibrations(client_constructor):
grpc_client = setup_mock_(client_constructor)
results = [
qtypes.QuantumCalibration(
name='projects/proj/processor/processor0/calibrations/123456'),
qtypes.QuantumCalibration(
name='projects/proj/processor/processor1/calibrations/224466')
]
grpc_client.list_quantum_calibrations.return_value = results
client = EngineClient()
assert client.list_calibrations('proj', 'processor0') == results
assert grpc_client.list_quantum_calibrations.call_args[0] == (
'projects/proj/processors/processor0',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_calibration(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumCalibration(
name='projects/proj/processors/processor0/calibrations/123456')
grpc_client.get_quantum_calibration.return_value = result
client = EngineClient()
assert client.get_calibration('proj', 'processor0', 123456) == result
assert grpc_client.get_quantum_calibration.call_args[0] == (
'projects/proj/processors/processor0/calibrations/123456',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_current_calibration(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumCalibration(
name='projects/proj/processors/processor0/calibrations/123456')
grpc_client.get_quantum_calibration.return_value = result
client = EngineClient()
assert client.get_current_calibration('proj', 'processor0') == result
assert grpc_client.get_quantum_calibration.call_args[0] == (
'projects/proj/processors/processor0/calibrations/current',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_current_calibration_does_not_exist(client_constructor):
grpc_client = setup_mock_(client_constructor)
grpc_client.get_quantum_calibration.side_effect = exceptions.NotFound(
'not found')
client = EngineClient()
assert client.get_current_calibration('proj', 'processor0') is None
assert grpc_client.get_quantum_calibration.call_args[0] == (
'projects/proj/processors/processor0/calibrations/current',)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_current_calibration_error(client_constructor):
grpc_client = setup_mock_(client_constructor)
grpc_client.get_quantum_calibration.side_effect = exceptions.BadRequest(
'boom')
client = EngineClient()
with pytest.raises(EngineException, match='boom'):
client.get_current_calibration('proj', 'processor0')
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_api_doesnt_retry_not_found_errors(client_constructor):
grpc_client = setup_mock_(client_constructor)
grpc_client.get_quantum_program.side_effect = exceptions.NotFound(
'not found')
client = EngineClient()
with pytest.raises(EngineException, match='not found'):
client.get_program('proj', 'prog', False)
assert grpc_client.get_quantum_program.call_count == 1
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_api_retry_5xx_errors(client_constructor):
grpc_client = setup_mock_(client_constructor)
grpc_client.get_quantum_program.side_effect = exceptions.ServiceUnavailable(
'internal error')
client = EngineClient(max_retry_delay_seconds=1)
with pytest.raises(TimeoutError,
match='Reached max retry attempts.*internal error'):
client.get_program('proj', 'prog', False)
assert grpc_client.get_quantum_program.call_count > 1
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_create_reservation(client_constructor):
grpc_client = setup_mock_(client_constructor)
start = datetime.datetime.fromtimestamp(1000000000)
end = datetime.datetime.fromtimestamp(1000003600)
users = ['[email protected]']
result = qtypes.QuantumReservation(
name='projects/proj/processors/processor0/reservations/papar-party-44',
start_time=Timestamp(seconds=1000000000),
end_time=Timestamp(seconds=1000003600),
whitelisted_users=users,
)
grpc_client.create_quantum_reservation.return_value = result
client = EngineClient()
assert client.create_reservation('proj', 'processor0', start, end,
users) == result
assert grpc_client.create_quantum_reservation.call_count == 1
kwargs = grpc_client.create_quantum_reservation.call_args[1]
# The outgoing argument will not have the resource name
result.name = ''
assert kwargs == {
'parent': 'projects/proj/processors/processor0',
'quantum_reservation': result
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_cancel_reservation(client_constructor):
grpc_client = setup_mock_(client_constructor)
name = 'projects/proj/processors/processor0/reservations/papar-party-44'
result = qtypes.QuantumReservation(
name=name,
start_time=Timestamp(seconds=1000000000),
end_time=Timestamp(seconds=1000002000),
whitelisted_users=['[email protected]'],
)
grpc_client.cancel_quantum_reservation.return_value = result
client = EngineClient()
assert (client.cancel_reservation('proj', 'processor0',
'papar-party-44') == result)
kwargs = grpc_client.cancel_quantum_reservation.call_args[1]
assert kwargs == {
'name': name,
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_delete_reservation(client_constructor):
grpc_client = setup_mock_(client_constructor)
name = 'projects/proj/processors/processor0/reservations/papar-party-44'
result = qtypes.QuantumReservation(
name=name,
start_time=Timestamp(seconds=1000000000),
end_time=Timestamp(seconds=1000002000),
whitelisted_users=['[email protected]'],
)
grpc_client.delete_quantum_reservation.return_value = result
client = EngineClient()
assert (client.delete_reservation('proj', 'processor0',
'papar-party-44') == result)
kwargs = grpc_client.delete_quantum_reservation.call_args[1]
assert kwargs == {
'name': name,
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_reservation(client_constructor):
grpc_client = setup_mock_(client_constructor)
name = 'projects/proj/processors/processor0/reservations/papar-party-44'
result = qtypes.QuantumReservation(
name=name,
start_time=Timestamp(seconds=1000000000),
end_time=Timestamp(seconds=1000002000),
whitelisted_users=['[email protected]'],
)
grpc_client.get_quantum_reservation.return_value = result
client = EngineClient()
assert (client.get_reservation('proj', 'processor0',
'papar-party-44') == result)
kwargs = grpc_client.get_quantum_reservation.call_args[1]
assert kwargs == {
'name': name,
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_reservation_not_found(client_constructor):
grpc_client = setup_mock_(client_constructor)
name = 'projects/proj/processors/processor0/reservations/papar-party-44'
grpc_client.get_quantum_reservation.side_effect = exceptions.NotFound(
'not found')
client = EngineClient()
assert (client.get_reservation('proj', 'processor0',
'papar-party-44') == None)
kwargs = grpc_client.get_quantum_reservation.call_args[1]
assert kwargs == {
'name': name,
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_get_reservation_exception(client_constructor):
grpc_client = setup_mock_(client_constructor)
grpc_client.get_quantum_reservation.side_effect = exceptions.BadRequest(
'boom')
client = EngineClient()
with pytest.raises(EngineException, match='boom'):
client.get_reservation('proj', 'processor0', 'goog')
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_reservation(client_constructor):
grpc_client = setup_mock_(client_constructor)
name = 'projects/proj/processors/processor0/reservations/papar-party-44'
results = [
qtypes.QuantumReservation(
name=name,
start_time=Timestamp(seconds=1000000000),
end_time=Timestamp(seconds=1000002000),
whitelisted_users=['[email protected]'],
),
qtypes.QuantumReservation(
name=name,
start_time=Timestamp(seconds=1200000000),
end_time=Timestamp(seconds=1200002000),
whitelisted_users=['[email protected]'],
),
]
grpc_client.list_quantum_reservations.return_value = results
client = EngineClient()
assert (client.list_reservations('proj', 'processor0') == results)
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_update_reservation(client_constructor):
grpc_client = setup_mock_(client_constructor)
name = 'projects/proj/processors/processor0/reservations/papar-party-44'
result = qtypes.QuantumReservation(
name=name,
start_time=Timestamp(seconds=1000001000),
end_time=Timestamp(seconds=1000002000),
whitelisted_users=['[email protected]'],
)
grpc_client.update_quantum_reservation.return_value = result
client = EngineClient()
assert (client.update_reservation(
'proj',
'processor0',
'papar-party-44',
start=datetime.datetime.fromtimestamp(1000001000),
end=datetime.datetime.fromtimestamp(1000002000),
whitelisted_users=['[email protected]'],
) == result)
kwargs = grpc_client.update_quantum_reservation.call_args[1]
assert kwargs == {
'name':
name,
'quantum_reservation':
result,
'update_mask':
FieldMask(paths=['start_time', 'end_time', 'whitelisted_users'])
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_update_reservation_remove_all_users(client_constructor):
grpc_client = setup_mock_(client_constructor)
name = 'projects/proj/processors/processor0/reservations/papar-party-44'
result = qtypes.QuantumReservation(
name=name,
whitelisted_users=[],
)
grpc_client.update_quantum_reservation.return_value = result
client = EngineClient()
assert (client.update_reservation(
'proj',
'processor0',
'papar-party-44',
whitelisted_users=[],
) == result)
kwargs = grpc_client.update_quantum_reservation.call_args[1]
assert kwargs == {
'name': name,
'quantum_reservation': result,
'update_mask': FieldMask(paths=['whitelisted_users'])
}
@mock.patch.object(quantum, 'QuantumEngineServiceClient', autospec=True)
def test_list_time_slots(client_constructor):
grpc_client = setup_mock_(client_constructor)
results = [
qtypes.QuantumTimeSlot(
processor_name='potofgold',
start_time=Timestamp(seconds=1000020000),
end_time=Timestamp(seconds=1000040000),
slot_type=qenums.QuantumTimeSlot.TimeSlotType.MAINTENANCE,
maintenance_config=qtypes.QuantumTimeSlot.MaintenanceConfig(
title='Testing',
description='Testing some new configuration.',
),
),
qtypes.QuantumTimeSlot(
processor_name='potofgold',
start_time=Timestamp(seconds=1000010000),
end_time=Timestamp(seconds=1000020000),
slot_type=qenums.QuantumTimeSlot.TimeSlotType.RESERVATION,
reservation_config=qtypes.QuantumTimeSlot.ReservationConfig(
project_id='super_secret_quantum'),
)
]
grpc_client.list_quantum_time_slots.return_value = results
client = EngineClient()
assert (client.list_time_slots('proj', 'processor0') == results)
| 39.478539
| 80
| 0.637373
| 4,437
| 43,229
| 5.977237
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| 0.873082
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| 0.011001
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| 0.057206
| 0.019802
| 0
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| null | 0
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0
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4372710c66361fa93707980328afe4826b15ed27
| 6,609
|
py
|
Python
|
10_compare_between_main_product_pages.py
|
e-davydenkova/SeleniumWebDriver_Training
|
e03cfbe4ea74ddc8f0c575d8fcaa3a6c7ccb7d0a
|
[
"Apache-2.0"
] | null | null | null |
10_compare_between_main_product_pages.py
|
e-davydenkova/SeleniumWebDriver_Training
|
e03cfbe4ea74ddc8f0c575d8fcaa3a6c7ccb7d0a
|
[
"Apache-2.0"
] | null | null | null |
10_compare_between_main_product_pages.py
|
e-davydenkova/SeleniumWebDriver_Training
|
e03cfbe4ea74ddc8f0c575d8fcaa3a6c7ccb7d0a
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from selenium import webdriver
import re
@pytest.fixture
def driver(request):
wd = webdriver.Chrome()
wd.get("http://localhost/litecart/en/")
request.addfinalizer(wd.quit)
return wd
# check that product names are identical on the main page and on product page
def test_product_names(driver):
# get a product name on the main page
main_name = driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light .name").text
# get a product name on a product page
driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light").click()
product_name = driver.find_element_by_css_selector("#box-product .title").text
assert main_name == product_name, "Product names on the main page and on product page are NOT identical"
# check that prices (regular and campaign) are identical on the main page and on product page
def test_prices(driver):
prices = driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light div.price-wrapper")
# get a regular price on the main page
main_regular_price = prices.find_element_by_css_selector(".regular-price").text
# get a campaign price on the main page
main_campaign_price = prices.find_element_by_css_selector(".campaign-price").text
# open the product page
driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light").click()
# get a regular price on a product page
product_regular_price = driver.find_element_by_css_selector("#box-product .price-wrapper .regular-price").text
# get a campaign price on a product page
product_campaign_price = driver.find_element_by_css_selector("#box-product .price-wrapper .campaign-price").text
assert main_regular_price == product_regular_price, "Regular prices on the main page and on the product page " \
"are NOT identical"
assert main_campaign_price == product_campaign_price, "Campaign prices on the main page and on the product page " \
"are NOT identical"
# check color of regular and campaign prices and their attributes on the main page
def test_colors_main_page(driver):
prices = driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light div.price-wrapper")
# get a color of the regular price on the main page
regular_color = prices.find_element_by_css_selector(".regular-price").value_of_css_property("color")
# verify that the regular price is grey (values of R,G,B are identical)
color_list = re.findall('\d+',regular_color)
assert(color_list[0] == color_list[1] == color_list[2]), "The regular price on the main page is NOT grey"
# get a color of the campaign price on the main page
campaign_color = prices.find_element_by_css_selector(".campaign-price").value_of_css_property("color")
# verify that the campaign price is red (values of G and B are 0)
color_list = re.findall('\d+',campaign_color)
assert (color_list[1] == '0') and (color_list[2] == '0'), "The campaign price on the main page is NOT red"
regular_attr = prices.find_element_by_css_selector(".regular-price").value_of_css_property("text-decoration-line")
assert regular_attr == 'line-through', "Regular price is NOT line-through on the main page"
campaign_attr = prices.find_element_by_css_selector(".campaign-price").value_of_css_property("font-weight")
assert (campaign_attr == 'bold') or (campaign_attr >= '700'), "Campaign price is NOT bold on the main page"
# check color of regular and campaign prices and their attributes on the product page
def test_colors_product_page(driver):
# open the product page
driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light").click()
prices = driver.find_element_by_css_selector("#box-product .price-wrapper")
# get a color of the regular price on the main page
regular_color = prices.find_element_by_css_selector(".regular-price").value_of_css_property("color")
# verify that the regular price is grey (values of R,G,B are identical)
color_list = re.findall('\d+', regular_color)
assert (color_list[0] == color_list[1] == color_list[2]), "The regular price on the product page is NOT grey"
# get a color of the campaign price on the main page
campaign_color = prices.find_element_by_css_selector(".campaign-price").value_of_css_property("color")
# verify that the campaign price is red (values of G and B are 0)
color_list = re.findall('\d+', campaign_color)
assert (color_list[1] == '0') and (color_list[2] == '0'), "The campaign price on the product page is NOT red"
# verify that the regular price is line-through
regular_attr = prices.find_element_by_css_selector(".regular-price").value_of_css_property(
"text-decoration-line")
assert regular_attr == 'line-through', "Regular price is NOT line-through on the product page"
# verify that the campaign price is bold
campaign_attr = prices.find_element_by_css_selector(".campaign-price").value_of_css_property(
"font-weight")
assert (campaign_attr == 'bold') or (campaign_attr >= '700'), "Campaign price is NOT bold on the product page"
# check that campaign price is bigger than regular prise on the main and product pages
def test_size_comparison(driver):
prices = driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light div.price-wrapper")
regular_size = prices.find_element_by_css_selector(".regular-price").size
campaign_size = prices.find_element_by_css_selector(".campaign-price").size
assert (campaign_size['height'] > regular_size['height']) and \
(campaign_size['width'] > regular_size['width']), \
"Size of campaign price is NOT bigger than size of regular price on the main page"
# open the product page
driver.find_element_by_css_selector("#box-campaigns div li.product.column.shadow.hover-light").click()
prices = driver.find_element_by_css_selector("#box-product .price-wrapper")
regular_size = prices.find_element_by_css_selector(".regular-price").size
campaign_size = prices.find_element_by_css_selector(".campaign-price").size
assert (campaign_size['height'] > regular_size['height']) and \
(campaign_size['width'] > regular_size['width']), \
"Size of campaign price is NOT bigger than size of regular price on the product page"
| 52.03937
| 125
| 0.733394
| 994
| 6,609
| 4.668008
| 0.096579
| 0.029095
| 0.075647
| 0.093103
| 0.859698
| 0.845043
| 0.805603
| 0.794828
| 0.748922
| 0.748922
| 0
| 0.004006
| 0.169012
| 6,609
| 126
| 126
| 52.452381
| 0.840859
| 0.191103
| 0
| 0.409091
| 0
| 0.045455
| 0.34392
| 0.054125
| 0
| 0
| 0
| 0
| 0.19697
| 1
| 0.090909
| false
| 0
| 0.045455
| 0
| 0.151515
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
4389760f68989bd2ea1837354a093cc8ebd81958
| 7,406
|
py
|
Python
|
Toolkits/CMake/hunter/packages/sugar/python/sugar/sugar_warnings_wiki_table_generator.py
|
roscopecoltran/SniperKit-Core
|
4600dffe1cddff438b948b6c22f586d052971e04
|
[
"MIT"
] | 102
|
2015-01-28T20:51:35.000Z
|
2021-04-09T11:36:01.000Z
|
Toolkits/CMake/hunter/packages/sugar/python/sugar/sugar_warnings_wiki_table_generator.py
|
roscopecoltran/SniperKit-Core
|
4600dffe1cddff438b948b6c22f586d052971e04
|
[
"MIT"
] | 56
|
2015-01-01T19:22:34.000Z
|
2020-01-28T13:48:14.000Z
|
python/sugar/sugar_warnings_wiki_table_generator.py
|
idscan/sugar
|
0a64153710d039dc081698be83562cdf464c84dc
|
[
"BSD-2-Clause"
] | 28
|
2015-03-05T19:47:08.000Z
|
2021-01-17T21:07:31.000Z
|
#!/usr/bin/env python3
# Copyright (c) 2014, Ruslan Baratov
# All rights reserved.
"""
* Wiki table for `leathers` C++ project
Expected format:
### Main table
Name | Clang | GCC | MSVC |
-----------------------------|----------|----------|------|
static-ctor-not-thread-safe | *no* | *no* | 4640 |
switch | **same** | **same** | 4062 |
switch-enum | **same** | **same** | 4061 |
### Xcode/Clang table
Clang | Xcode | Objective-C |
-----------------------|--------------------------------|-------------|
bool-conversion | CLANG_WARN_BOOL_CONVERSION | no |
c++11-extensions | CLANG_WARN_CXX0X_EXTENSIONS | no |
strict-selector-match | GCC_WARN_STRICT_SELECTOR_MATCH | yes |
undeclared-selector | GCC_WARN_UNDECLARED_SELECTOR | yes |
"""
def generate(main_warnings_table):
groups = set()
for i in main_warnings_table:
if i.group != "":
groups.add(i.group)
wiki_file = open("wiki-table.txt", "w")
generate_main_table(main_warnings_table, wiki_file)
for group in groups:
generate_group_table(main_warnings_table, wiki_file, group)
generate_xcode_table(main_warnings_table, wiki_file)
def generate_main_table(main_warnings_table, wiki_file):
head_name = "Name"
head_clang = "Clang"
head_gcc = "GCC"
head_msvc = "MSVC"
def calc_max(head, visitor):
max_len = len(head)
for x in main_warnings_table:
cur_len = visitor(x)
if cur_len > max_len:
max_len = cur_len
return max_len + 2
def name_visitor(table_entry):
if table_entry.group != "":
return 0
return len(table_entry.warning_name)
def clang_visitor(table_entry):
if table_entry.group != "":
return 0
return len(table_entry.clang.wiki_entry(table_entry.warning_name))
def gcc_visitor(table_entry):
if table_entry.group != "":
return 0
return len(table_entry.gcc.wiki_entry(table_entry.warning_name))
def msvc_visitor(table_entry):
if table_entry.group != "":
return 0
return len(table_entry.msvc.wiki_entry(table_entry.warning_name))
max_name = calc_max(head_name, name_visitor)
max_clang = calc_max(head_clang, clang_visitor)
max_gcc = calc_max(head_gcc, gcc_visitor)
max_msvc = calc_max(head_msvc, msvc_visitor)
def fill_string(name, max_name):
result = " " + name + " ";
assert(max_name >= len(result))
left = max_name - len(result)
return result + " " * left
wiki_file.write("### Main table\n\n")
s = "{}|{}|{}|{}|\n".format(
fill_string(head_name, max_name),
fill_string(head_clang, max_clang),
fill_string(head_gcc, max_gcc),
fill_string(head_msvc, max_msvc),
)
wiki_file.write(s)
s = "{}|{}|{}|{}|\n".format(
'-' * max_name,
'-' * max_clang,
'-' * max_gcc,
'-' * max_msvc,
)
wiki_file.write(s)
for entry in main_warnings_table:
if entry.group != "":
continue
s = "{}|{}|{}|{}|\n".format(
fill_string(entry.warning_name, max_name),
fill_string(entry.clang.wiki_entry(entry.warning_name), max_clang),
fill_string(entry.gcc.wiki_entry(entry.warning_name), max_gcc),
fill_string(entry.msvc.wiki_entry(entry.warning_name), max_msvc),
)
wiki_file.write(s)
def generate_group_table(main_warnings_table, wiki_file, group):
head_name = "Name"
head_clang = "Clang"
head_gcc = "GCC"
head_msvc = "MSVC"
def calc_max(head, visitor):
max_len = len(head)
for x in main_warnings_table:
cur_len = visitor(x)
if cur_len > max_len:
max_len = cur_len
return max_len + 2
def name_visitor(table_entry):
if table_entry.group != group:
return 0
return len(table_entry.warning_name)
def clang_visitor(table_entry):
if table_entry.group != group:
return 0
return len(table_entry.clang.wiki_entry(table_entry.warning_name))
def gcc_visitor(table_entry):
if table_entry.group != group:
return 0
return len(table_entry.gcc.wiki_entry(table_entry.warning_name))
def msvc_visitor(table_entry):
if table_entry.group != group:
return 0
return len(table_entry.msvc.wiki_entry(table_entry.warning_name))
max_name = calc_max(head_name, name_visitor)
max_clang = calc_max(head_clang, clang_visitor)
max_gcc = calc_max(head_gcc, gcc_visitor)
max_msvc = calc_max(head_msvc, msvc_visitor)
def fill_string(name, max_name):
result = " " + name + " ";
assert(max_name >= len(result))
left = max_name - len(result)
return result + " " * left
wiki_file.write("\n### Table for group: `{}`\n\n".format(group))
s = "{}|{}|{}|{}|\n".format(
fill_string(head_name, max_name),
fill_string(head_clang, max_clang),
fill_string(head_gcc, max_gcc),
fill_string(head_msvc, max_msvc),
)
wiki_file.write(s)
s = "{}|{}|{}|{}|\n".format(
'-' * max_name,
'-' * max_clang,
'-' * max_gcc,
'-' * max_msvc,
)
wiki_file.write(s)
for entry in main_warnings_table:
if entry.group != group:
continue
s = "{}|{}|{}|{}|\n".format(
fill_string(entry.warning_name, max_name),
fill_string(entry.clang.wiki_entry(entry.warning_name), max_clang),
fill_string(entry.gcc.wiki_entry(entry.warning_name), max_gcc),
fill_string(entry.msvc.wiki_entry(entry.warning_name), max_msvc),
)
wiki_file.write(s)
def generate_xcode_table(main_warnings_table, wiki_file):
head_clang = "Clang"
head_xcode = "Xcode"
head_objc = "Objective-C"
def calc_max(head, visitor):
max_len = len(head)
for x in main_warnings_table:
cur_len = visitor(x)
if cur_len > max_len:
max_len = cur_len
return max_len + 2
def clang_visitor(table_entry):
if table_entry.xcode.option == "":
return 0
return len(table_entry.clang.option)
def xcode_visitor(table_entry):
if table_entry.xcode.option == "":
return 0
return len(table_entry.xcode.option)
def objc_visitor(table_entry):
if table_entry.xcode.option == "":
return 0
if table_entry.objc:
return 3 # "yes"
else:
return 2 # "no"
max_clang = calc_max(head_clang, clang_visitor)
max_xcode = calc_max(head_xcode, xcode_visitor)
max_objc = calc_max(head_objc, objc_visitor)
def fill_string(name, max_name):
result = " " + name + " ";
assert(max_name >= len(result))
left = max_name - len(result)
return result + " " * left
wiki_file.write("\n\n### Xcode/Clang table\n\n")
s = "{}|{}|{}|\n".format(
fill_string(head_clang, max_clang),
fill_string(head_xcode, max_xcode),
fill_string(head_objc, max_objc),
)
wiki_file.write(s)
s = "{}|{}|{}|\n".format(
'-' * max_clang,
'-' * max_xcode,
'-' * max_objc,
)
wiki_file.write(s)
done_list = []
for entry in main_warnings_table:
if entry.xcode.option == "":
continue
if entry.clang.option in done_list:
continue
done_list.append(entry.clang.option)
if entry.objc:
objc = "yes"
else:
objc = "no"
s = "{}|{}|{}|\n".format(
fill_string(entry.clang.option, max_clang),
fill_string(entry.xcode.option, max_xcode),
fill_string(objc, max_objc),
)
wiki_file.write(s)
| 27.634328
| 75
| 0.626924
| 1,009
| 7,406
| 4.294351
| 0.090188
| 0.090007
| 0.059081
| 0.048234
| 0.786522
| 0.776367
| 0.766213
| 0.755827
| 0.70367
| 0.65982
| 0
| 0.006285
| 0.226573
| 7,406
| 267
| 76
| 27.737828
| 0.750175
| 0.124089
| 0
| 0.737374
| 0
| 0
| 0.044486
| 0
| 0
| 0
| 0
| 0
| 0.015152
| 1
| 0.106061
| false
| 0
| 0
| 0
| 0.252525
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
60050fc2440b99d0cc01c8e1d51ae9219c2ec9ce
| 46
|
py
|
Python
|
cvstudio/view/widgets/labels_tableview/__init__.py
|
haruiz/PytorchCvStudio
|
ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef
|
[
"MIT"
] | 32
|
2019-10-31T03:10:52.000Z
|
2020-12-23T11:50:53.000Z
|
cvstudio/view/widgets/labels_tableview/__init__.py
|
haruiz/CvStudio
|
ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef
|
[
"MIT"
] | 19
|
2019-10-31T15:06:05.000Z
|
2020-06-15T02:21:55.000Z
|
cvstudio/view/widgets/labels_tableview/__init__.py
|
haruiz/PytorchCvStudio
|
ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef
|
[
"MIT"
] | 8
|
2019-10-31T03:32:50.000Z
|
2020-07-17T20:47:37.000Z
|
from .labels_tableview import LabelsTableView
| 23
| 45
| 0.891304
| 5
| 46
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 46
| 1
| 46
| 46
| 0.952381
| 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
| 1
| 0
|
0
| 6
|
60125a0886f4a69344f97e125b44faf6103792e1
| 319
|
py
|
Python
|
distdeepq/__init__.py
|
Silvicek/distributional-dqn
|
41a9095393dd25b7375119b4af7d2c35ee3ec6cc
|
[
"MIT"
] | 131
|
2017-09-16T02:06:44.000Z
|
2022-03-23T08:09:56.000Z
|
distdeepq/__init__.py
|
Silvicek/distributional-dqn
|
41a9095393dd25b7375119b4af7d2c35ee3ec6cc
|
[
"MIT"
] | 6
|
2017-10-26T09:36:00.000Z
|
2019-03-15T06:23:17.000Z
|
distdeepq/__init__.py
|
Silvicek/distributional-dqn
|
41a9095393dd25b7375119b4af7d2c35ee3ec6cc
|
[
"MIT"
] | 29
|
2017-09-16T02:30:27.000Z
|
2020-04-12T03:12:39.000Z
|
from distdeepq import models # noqa
from distdeepq.build_graph import build_act, build_train # noqa
from distdeepq.simple import learn, load, make_session # noqa
from distdeepq.replay_buffer import ReplayBuffer, PrioritizedReplayBuffer # noqa
from distdeepq.static import *
from distdeepq.plots import PlotMachine
| 39.875
| 81
| 0.827586
| 41
| 319
| 6.317073
| 0.512195
| 0.301158
| 0.262548
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128527
| 319
| 7
| 82
| 45.571429
| 0.931655
| 0.059561
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
602aa7539d103136a63769ed24a86373824abc5f
| 76
|
py
|
Python
|
tests/apps/newlayout/tasks/init_data.py
|
blazelibs/blazeweb
|
b120a6a2e38c8b53da2b73443ff242e2d1438053
|
[
"BSD-3-Clause"
] | null | null | null |
tests/apps/newlayout/tasks/init_data.py
|
blazelibs/blazeweb
|
b120a6a2e38c8b53da2b73443ff242e2d1438053
|
[
"BSD-3-Clause"
] | 6
|
2016-11-01T18:42:34.000Z
|
2020-11-16T16:52:14.000Z
|
tests/apps/newlayout/tasks/init_data.py
|
blazelibs/blazeweb
|
b120a6a2e38c8b53da2b73443ff242e2d1438053
|
[
"BSD-3-Clause"
] | 1
|
2020-01-22T18:20:46.000Z
|
2020-01-22T18:20:46.000Z
|
from __future__ import print_function
def action_010():
print('doit')
| 12.666667
| 37
| 0.736842
| 10
| 76
| 5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.047619
| 0.171053
| 76
| 5
| 38
| 15.2
| 0.746032
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0.666667
| 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
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 6
|
6031aa22f48d39d2c1b21d711d722627277b7cfb
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/requests/compat.py
|
GiulianaPola/select_repeats
|
17a0d053d4f874e42cf654dd142168c2ec8fbd11
|
[
"MIT"
] | 1
|
2022-02-22T04:49:18.000Z
|
2022-02-22T04:49:18.000Z
|
venv/lib/python3.8/site-packages/requests/compat.py
|
GiulianaPola/select_repeats
|
17a0d053d4f874e42cf654dd142168c2ec8fbd11
|
[
"MIT"
] | null | null | null |
venv/lib/python3.8/site-packages/requests/compat.py
|
GiulianaPola/select_repeats
|
17a0d053d4f874e42cf654dd142168c2ec8fbd11
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/d1/fc/c7/6cbbdf9c58b6591d28ed792bbd7944946d3f56042698e822a2869787f6
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.4375
| 0
| 96
| 1
| 96
| 96
| 0.458333
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
603bd55f49512b27d3c43490151152f53b9f9255
| 158
|
py
|
Python
|
src/twisted/test/myrebuilder1.py
|
mathieui/twisted
|
35546d2b50742a32edba54719ce3e752dc50dd2a
|
[
"MIT",
"Unlicense"
] | 9,953
|
2019-04-03T23:41:04.000Z
|
2022-03-31T11:54:44.000Z
|
stackoverflow/venv/lib/python3.6/site-packages/twisted/test/myrebuilder1.py
|
W4LKURE/learn_python3_spider
|
98dd354a41598b31302641f9a0ea49d1ecfa0fb1
|
[
"MIT"
] | 44
|
2019-05-27T10:59:29.000Z
|
2022-03-31T14:14:29.000Z
|
stackoverflow/venv/lib/python3.6/site-packages/twisted/test/myrebuilder1.py
|
W4LKURE/learn_python3_spider
|
98dd354a41598b31302641f9a0ea49d1ecfa0fb1
|
[
"MIT"
] | 2,803
|
2019-04-06T13:15:33.000Z
|
2022-03-31T07:42:01.000Z
|
class A:
def a(self):
return 'a'
class B(A, object):
def b(self):
return 'b'
class Inherit(A):
def a(self):
return 'c'
| 12.153846
| 19
| 0.487342
| 24
| 158
| 3.208333
| 0.375
| 0.38961
| 0.12987
| 0.233766
| 0.38961
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.367089
| 158
| 12
| 20
| 13.166667
| 0.77
| 0
| 0
| 0.222222
| 0
| 0
| 0.019108
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
603d09d31004383c874fb82ce95f78dc229bb3dd
| 481
|
py
|
Python
|
micropython/007_boat_sink.py
|
mirontoli/tolle-rasp
|
020638e86c167aedd7b556d8515a3adef70724af
|
[
"MIT"
] | 2
|
2021-06-29T17:18:09.000Z
|
2022-01-25T08:29:59.000Z
|
micropython/007_boat_sink.py
|
mirontoli/tolle-rasp
|
020638e86c167aedd7b556d8515a3adef70724af
|
[
"MIT"
] | null | null | null |
micropython/007_boat_sink.py
|
mirontoli/tolle-rasp
|
020638e86c167aedd7b556d8515a3adef70724af
|
[
"MIT"
] | null | null | null |
#https://microbit-micropython.readthedocs.io/en/latest/tutorials/images.html#animation
from microbit import *
boat1 = Image("05050:05050:05050:99999:09990")
boat2 = Image("00000:05050:05050:05050:99999")
boat3 = Image("00000:00000:05050:05050:05050")
boat4 = Image("00000:00000:00000:05050:05050")
boat5 = Image("00000:00000:00000:00000:05050")
boat6 = Image("00000:00000:00000:00000:00000")
all_boats = [boat1, boat2, boat3, boat4, boat5, boat6]
display.show(all_boats, delay=200)
| 48.1
| 86
| 0.765073
| 70
| 481
| 5.228571
| 0.428571
| 0.273224
| 0.245902
| 0.163934
| 0.136612
| 0
| 0
| 0
| 0
| 0
| 0
| 0.367483
| 0.066528
| 481
| 10
| 87
| 48.1
| 0.447661
| 0.174636
| 0
| 0
| 0
| 0
| 0.439394
| 0.439394
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
604a7281197333545b6dfe0f58e24a3b3cd75540
| 134
|
py
|
Python
|
solutions/6-sum-suqare-difference.py
|
smaranjitghose/PyProjectEuler
|
d1303d18a0d90acf885ab5ac54b3ea91d99e83db
|
[
"MIT"
] | 1
|
2020-03-15T02:51:19.000Z
|
2020-03-15T02:51:19.000Z
|
solutions/6-sum-suqare-difference.py
|
smaranjitghose/PyProjectEuler
|
d1303d18a0d90acf885ab5ac54b3ea91d99e83db
|
[
"MIT"
] | null | null | null |
solutions/6-sum-suqare-difference.py
|
smaranjitghose/PyProjectEuler
|
d1303d18a0d90acf885ab5ac54b3ea91d99e83db
|
[
"MIT"
] | null | null | null |
def sum_of_squares(n):
return sum(i ** 2 for i in range(1, n+1))
def square_of_sum(n):
return sum(range(1, n+1)) ** 2
| 19.142857
| 46
| 0.58209
| 28
| 134
| 2.642857
| 0.464286
| 0.189189
| 0.27027
| 0.216216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06
| 0.253731
| 134
| 6
| 47
| 22.333333
| 0.68
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 6
|
608996de745b7d9dc600ef6a4f86e57b6a5da416
| 410,082
|
py
|
Python
|
app/datastore/test.py
|
sem-onyalo/dnn-training-monitoring-flask
|
6a81e06a6871b0d6e890f9fd92f4ab79ac8ee639
|
[
"MIT"
] | null | null | null |
app/datastore/test.py
|
sem-onyalo/dnn-training-monitoring-flask
|
6a81e06a6871b0d6e890f9fd92f4ab79ac8ee639
|
[
"MIT"
] | null | null | null |
app/datastore/test.py
|
sem-onyalo/dnn-training-monitoring-flask
|
6a81e06a6871b0d6e890f9fd92f4ab79ac8ee639
|
[
"MIT"
] | null | null | null |
import json
from app.model import TrainMetrics, TrainPlots
class DatastoreTest:
def getRuns(self):
return [
"20211210T132017",
"20211209T132017",
"20211208T132017"
]
def getEvals(self, run):
return [40, 30, 20, 10]
def getHyperparameters(self, run):
return json.loads(TEST_HYPERPARAMETERS)
def getSummary(self, run, eval):
return json.loads(TEST_SUMMARY)
def getMetrics(self, run, eval):
header = ["Epoch", "Epochs", "Mini-Batch", "Mini-Batches", "Discriminator Loss: Real", "Discriminator Loss: Fake", "GAN Loss"]
items = list()
items.append([1, 100, 1, 234, 0.304, 2.544, 0.487])
items.append([1, 100, 2, 234, 0.239, 1.219, 0.880])
items.append([1, 100, 3, 234, 0.239, 1.219, 0.880])
trainMetrics = TrainMetrics(header, items)
return trainMetrics
def getPlots(self, run, eval):
plots = TrainPlots()
plots.loss = TEST_PLOT_LOSS
plots.image = TEST_PLOT_IMAGE
plots.target = TEST_PLOT_TARGET
return plots
TEST_SUMMARY = '''
{
"Epoch":10,
"Real Accuracy":"1%",
"Fake Accuracy":"99%",
"Elapsed Time":"0:06:30.957221"
}
'''
TEST_HYPERPARAMETERS = '''
{
"Epochs": 100,
"Batch Size": 256,
"Eval Frequency": 10,
"Batches Per Epoch": 234,
"Half Batch": 128,
"Latent Dim": 100,
"Conv Filters": [256, 256],
"Conv Layer Kernel Size": "(3, 3)",
"Conv Transpose Filters": [256, 256],
"Conv Transpose Layer Kernel Size": "(4, 4)",
"Generator Input Filters": 256,
"Generator Output Layer Kernel Size": "(7, 7)",
"Adam Learning Rate": 0.0002,
"Adam Beta 1": 0.5,
"Kernel Init Std Dev": 0.02,
"Leaky Relu Alpha": 0.2,
"Dropout Rate": 0.4
}
'''
TEST_PLOT_LOSS = 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hKPFRcXR/PmzZk0aRKKoqDVapk2bRqNGjXC09OT7t27s3nzZptjT0lJYezYsfj7++Ph4cHgwYM5ceKEef2ZM2cYOnQo/v7+eHp60rZtW9atW2fedsyYMTRo0AB3d3datWrF4sWLbT62KFDv/xSYNGkSa9asYevWrTRu3Ni8PCQkhLy8PFJTUy1qAS9dumT+R1LU9OnTmTJlivlzenq6JIFCCFFfKArosu1zbGcPUNk+ssNzzz3Hli1bWL16NcHBwbz00kvs37+fjh07lrmtt7c3X3/9NWFhYcTExDBhwgS8vb15/vnni5U9dOgQAwcO5JFHHuHVV18FTN+rR44cYdmyZYSFhbFy5UoGDRpETEwMrVq1KvP448eP58SJE/z666/4+PjwwgsvcPvtt3PkyBGcnZ2ZOHEieXl5bN26FU9PT44cOYKXlxcAM2fO5MiRI/z+++8EBQVx8uRJcnJybL5uokC9TQAVReGpp55i5cqVbN68mWbNmlms79y5M87OzmzatIlRo0YBEBsbS0JCAj169LC6T1dXV1xdXas9diGEEHagy4bXw+xz7JcugIunTUUzMzP58ssv+f777+nXrx8A33zzjUUlB8BHH33EF198Yf78+OOP8/bbb/Pyyy+blzVt2pRp06axbNmyYgngjh07GDJkCDNmzGDq1KkAJCQksHjxYhISEggLM12radOmsX79ehYvXszrr79eauz5id/27dvp2bMnAD/88APh4eGsWrWKu+++m4SEBEaNGkVUVBQAzZs3N2+fkJBAp06d6NKlizl+UTH1NgGcOHEiS5YsYfXq1Xh7e5v79fn6+uLu7o6vry+PPPIIU6ZMISAgAB8fH5566il69OhRZ54AlnEA6y6D0UCKNoUg9yB7hyKEqGPi4uLIy8uje/fu5mUBAQG0bt3aotyYMWOYMWOG+XN+a9ePP/7Ie++9R1xcHJmZmej1enx8fCy2TUhI4LbbbuO1115j8uTJ5uUxMTEYDAYiIyMtymu1WgIDA8uM/ejRozg5OVnEHhgYSOvWrTl69CgATz/9NE888QQbNmygf//+jBo1ivbt2wPwxBNPMGrUKPbv38+AAQMYPny4OZEU5VNvE8CPP/4YMD0JVdjixYsZP348AO+++y5qtZpRo0ah1WoZOHAgH330UQ1HKhzRU389xT/n/+HLAV/SLbSbvcMRQoCpGfYlOw307uxR5bv09fWlZcuWFst27tzJmDFjmDNnDgMHDsTX15dly5YV60PYoEEDwsLCWLp0KQ8//LA5QczMzESj0bBv3z40Go3FNvnNtJX16KOPMnDgQNauXcuGDRuYP38+b7/9Nk899RSDBw/mzJkzrFu3jo0bN9KvXz8mTpzIW2+9VSXHdiT19iEQRVGsvvKTPwA3Nzc+/PBDkpOTycrK4pdffimx/5+oXyozE0hV+Of8PwD8cPQHu8YhhChEpTI1w9rjVY7+fy1atMDZ2Zndu3ebl6WkpHD8+PEyt92xYwcRERHMmDGDLl260KpVK86cOVOsnLu7O2vWrMHNzY2BAweSkZEBQKdOnTAYDCQlJdGyZUuLly3fn23atEGv11vEfvXqVWJjY7n++uvNy8LDw/nf//7HL7/8wtSpU/n888/N6xo0aMC4ceP4/vvvWbRoEZ999lmZxxXF1dsaQCGEEKI+8vLy4pFHHuG5554jMDCQ4OBgZsyYgVpddp1Oq1atSEhIYNmyZXTt2pW1a9eycuVKq2U9PT1Zu3YtgwcPZvDgwaxfv57IyEjGjBnD2LFjefvtt+nUqROXL19m06ZNtG/fnjvuuMO8fUxMDN7e3ubPKpWKDh06MGzYMCZMmMCnn36Kt7c3L774Io0aNWLYsGEATJ48mcGDBxMZGUlKSgp///03bdq0AWDWrFl07tyZtm3botVqWbNmjXmdKJ96WwMoRF2hKArHU45jMBrsHYoQoo5YuHAhvXv3ZujQofTv35+bbrqJzp07l7ndnXfeybPPPsukSZPo2LEjO3bsYObMmSWW9/Ly4vfff0dRFO644w6ysrJYvHgxY8eOZerUqbRu3Zrhw4ezZ88emjRpYrFtnz596NSpk/mVH9/ixYvp3LkzQ4YMoUePHiiKwrp163B2dgbAYDAwceJE2rRpw6BBg4iMjDR3z3JxcWH69Om0b9+ePn36oNFoKj3Em6NSKfZuC6vD0tPT8fX1JS0trVgH2prw55k/eXbzswDEjIup8ePXZeN+H8f+pP2A7dcu6pso8/vKXu/8fd0afittAtvwYfSHjGg5grm95paxpRCiKuTm5hIfH0+zZs1wc3OzdziiGpR2j+39/V0bSA2gEHb2ycFPAFh50nozjBBCCFHVJAEUoo64lHWJd/a+w7mMc/YORQghRB0nD4HUYTIOYN2nKseTf0///TRHrh7hj9N/8Mddf1RjVEIIIeo7qQEUoo44cvUIABey7DROmRBCiHpDEkAhhBBCCAcjCaBwSAq15+H32hSLEEIIxyAJoLCZUTHy1KaneHPPm/YORQghhBCVIAmgsNnBywfZfG4z3x35zt6hCCGEEKISJAEUNtMZdPYOocrI+OdCCCEcmSSAdZmMAiOEEEKICpAEUAghhKhn+vbty+TJk+0dhqjFJAGsy6QVs16Q5mghhBA1TRJAYbPyzFohbCPJnxCiIjIyMhgzZgyenp6Ehoby7rvvlqvWb8WKFbRt2xZXV1eaNm3K22+/bbH+o48+olWrVri5udGwYUPuuusu87qff/6ZqKgo3N3dCQwMpH///mRlZVXl6YkaIFPBCYekMxjtHYIQopZRFIUcfY5dju3u5F6uP7KnTJnC9u3b+fXXX2nYsCGzZs1i//79dOzYscxt9+3bxz333MPs2bO599572bFjB08++SSBgYGMHz+evXv38vTTT/Pdd9/Rs2dPkpOT+eeffwC4ePEio0eP5s0332TEiBFkZGTwzz//yB+zdZAkgMIhnUvJtncIQohaJkefQ/cl3e1y7N3378bD2cOmshkZGXzzzTcsWbKEfv36AbB48WLCwsJs2v6dd96hX79+zJw5E4DIyEiOHDnCwoULGT9+PAkJCXh6ejJkyBC8vb2JiIigU6dOgCkB1Ov1jBw5koiICACioqLKe7qiFpAmYOGQDLXkr1Xl2n9CCGGrU6dOodPp6Natm3mZr68vrVu3tmn7o0eP0qtXL4tlvXr14sSJExgMBm677TYiIiJo3rw5Dz74ID/88APZ2aY/mjt06EC/fv2Iiori7rvv5vPPPyclJaXqTk7UGKkBFEIIITA1w+6+f7fdjl1beHt7s3//fjZv3syGDRuYNWsWs2fPZs+ePfj5+bFx40Z27NjBhg0beP/995kxYwa7d++mWbNm9g5dlEO9rQHcunUrQ4cOJSwsDJVKxapVqyzWjx8/HpVKZfEaNGiQfYKtKCvdRdaeWssHBz4o1h9jxfEVvLnnTemnUctI7Z8QtYdKpcLD2cMur/L0/2vevDnOzs7s2bPHvCwtLY3jx4/btH2bNm3Yvn27xbLt27cTGRmJRqMBwMnJif79+/Pmm29y6NAhTp8+zV9//WW+Tr169WLOnDkcOHAAFxcXVq5caXP8onaotzWAWVlZdOjQgYcffpiRI0daLTNo0CAWL15s/uzq6lpT4VWbF/95EYAeYT3o3LCzefnsnbMB6Nu4L91Cu1nbVAghRB3g7e3NuHHjeO655wgICCA4OJhXXnkFtVptkUhevnyZ6Ohoi21DQ0OZOnUqXbt2Zd68edx7773s3LmTDz74gI8++giANWvWcOrUKfr06YO/vz/r1q3DaDTSunVrdu/ezaZNmxgwYADBwcHs3r2by5cv06ZNm5q8BKIK1NsEcPDgwQwePLjUMq6uroSEhNRQRDUrJdd6n4yMvIwajqSAUTGy+uRq2gW1o5V/K7vFUatIBaAQogLeeecd/ve//zFkyBB8fHx4/vnnOXv2LG5ubuYyS5YsYcmSJRbbzZs3j5dffpnly5cza9Ys5s2bR2hoKHPnzmX8+PEA+Pn58csvvzB79mxyc3Np1aoVS5cupW3bthw9epStW7eyaNEi0tPTiYiI4O233y7z+1bUPvU2AbTF5s2bCQ4Oxt/fn1tvvZVXX32VwMBAe4dVJWpj0+Lv8b8za8csAGLGxdg5GiGEqLu8vb354YcfzJ+zsrKYM2cOjz32GGD6fivNqFGjGDVqlNV1N910U4nbt2nThvXr11coZlG7OGwCOGjQIEaOHEmzZs2Ii4vjpZdeYvDgwezcudPcB6IorVaLVqs1f05PT6+pcMvNqNS+ce6OXD1i7xCEEKJeOHDgAMeOHaNbt26kpaUxd+5cAIYNG2bnyERdUW8fAinLfffdx5133klUVBTDhw9nzZo17Nmzp9S/mubPn4+vr6/5FR4eXnMBl1N11wBezLxYrfuv7aZsnsLl7Mv2DkMI4cDeeustOnToYJ6J459//iEoKMjeYYk6wmETwKKaN29OUFAQJ0+eLLHM9OnTSUtLM7/Onj1bgxGWUzW3AMemxJZ7G5W1x5brqI1nNjJ311x7hyGEcFCdOnVi3759ZGZmkpyczMaNG2VAZlEuDtsEXNS5c+e4evUqoaGhJZZxdXWtM08KV3cNYEWGk6ldcwlX/vokZiVWQRS1r6+mEEKI+q/e1gBmZmYSHR1tfgQ+Pj6e6OhoEhISyMzM5LnnnmPXrl2cPn2aTZs2MWzYMFq2bMnAgQPtG3g5lFajpigKado0Vp5YSZZOJumurSQBFEIIYQ/1tgZw79693HLLLebPU6ZMAWDcuHF8/PHHHDp0iG+++YbU1FTCwsIYMGAA8+bNqzM1fGVRUHj6r6fZn7Sfbee32TscoH41AVcVGZhbCPuSf4P1l9zb0tXbBLBv376l3vw//vijBqOpeUbFyP6k/QBsOLOhyvdfoZqrWpT/1ZZfC1IDKIR9ODs7A5CdnY27e+2Zhk1Unfz5i/PvtbBUbxNAR3A1U1t2oaIqkYRJDV7VkwRQCPvQaDT4+fmRlJQEgIdH+aZjE7WXoihkZ2eTlJSEn59fiUO7OTpJAOuwxPQKJIB2JAmkFVbyvxx9Dn+e+ZObGt2Ev5t/zcckhIPInwkqPwkU9Yufn1+9ne2rKkgCWE/VxpolSQCLs3af3tzzJj8f/5k2AW1YPnS5HaISwjGoVCpCQ0MJDg5Gp9PZOxxRhZydnaXmrwySANZTJfZ/rKK8sDYmmDXtWPIxVp9czbCWFR9539p9Wh9vmmbpaPLRCu9XCGE7jUYjyYJwOPV2GBhHVxsTtPrYv+bl7S+jNVS8Kd5IzU7ZdyXnCutPr0dnlNoOIYRwZJIA1lPy+HtZqu76GIyG2hCGTUauHslzW57juyPf1eyBhRBC1CqSANZhpdWnVXsNoOSXVaKma2pTtCkAbD23tUaPK4QQonaRBLCeqo4awMo24cpDIMXZq6leaoiFEMKxSQJYh5X2FV4b+wDWLnJ9hBBCOC5JAEWFSIJZoDLXQmrihBBC2IMkgPVUiUmJHVth6+NTwJVltyZgSeCFEMKhSQJYh5WWT9XGmiXpA1hcRe/T1ZyrrD21ljxDXhVHJIQQwhHIQNB1WSm5Q21MAEXVGbd+HGfSz3As+RhTu0wt9/ZFfz7OpJ/hvyv/MbjZYKmpFUIIByA1gPVUdTfx2br/bee3sfrkaqD+NgFXJtmu6H06k34GgD/P/FnhYxc2ZOUQXvjnBf44/UeV7E8IIUTtJjWA9VRt6eP1xJ9PANC+QXtpAraisjW1Fb3PJW138PJBBjUbVJmQhBBC1AFSA1hPVcdcwJVJ4K7kXKn4geuxmp4KLl9t+QNBCCGEfUgCWIeV+hBINX/Bbzy9kcSsRJvLK4pSb2sAK3WtK3mbKtX8bGXb+tpML4QQwpIkgKJCfj/9O3f8coe9w7DqdNppzmeer7HjVWocwCLb1tTDO+cyztH/5/588983NXI8IYQQtYskgPVUTSQSeUbbhyCpqSbHzLxMhq4ayqAVgzAqpTWv1o4m0KL36XLO5fJtX8HzSM5NJik7ibf2vmWxvL7W0gohhLAkCWA9Vdv6eCkoNTIIdVJ2kvl96Qlg1alMsn346uHKHbuW3WchhBB1Q71NALdu3crQoUMJCwtDpVKxatUqi/WKojBr1ixCQ0Nxd3enf//+nDhxwj7BVpCqlNtXYlJiz5lAauLghQ5RF5Ojqqy5/TD6Q2bvmF2ufUoNoBBCOIZ6mwBmZWXRoUMHPvzwQ6vr33zzTd577z0++eQTdu/ejaenJwMHDiQ3N7eGI60etS35qam+bYUTmLpQA1idx/7k4CesOLGC4ynHazAiIYQQdUG9TQAHDx7Mq6++yogRI4qtUxSFRYsW8fLLLzNs2DDat2/Pt99+y4ULF4rVFIqqoVAzTwEXPkZNJWav7n61XOU3ntlY4rqiiXuWLqtCMRUm08UJIYQoqt4mgKWJj48nMTGR/v37m5f5+vrSvXt3du7cacfIqk51JD91bYiQmqoFLTp7xtmMszy35TmOXD1SPCZFYcrmKTbv++7f7q50fEIIIURRDjkTSGKiafy6hg0bWixv2LCheZ01Wq0WrVZr/pyenl49AVaB2tYEjFLzCWTpSXD1XZ9n/36W2JRY1p9eT8y4GIt1WoO2hK0KFK7FPJtxttSyttznWvezIIQQwu4csgawoubPn4+vr6/5FR4ebu+QSlTbvvRrqgm4Otka/6m0UyWuK+u+KIpSvntXxbe5rtXyCiGEqBiHTABDQkIAuHTpksXyS5cumddZM336dNLS0syvs2dLr52xJ3s+mFARfyf8Tb+f+rEncU+V7bOqk2Bbk6PSEsWiD6Y0cG9g8bm8MUsNoBBCiIpwyASwWbNmhISEsGnTJvOy9PR0du/eTY8ePUrcztXVFR8fH4tXbVXbvvQVlFITqKf/fpqk7CQe/uPhqjtmkSR4w+kNfHX4q2vx2EfRBLAmnlSWYWCEEEIUVW/7AGZmZnLy5Enz5/j4eKKjowkICKBJkyZMnjyZV199lVatWtGsWTNmzpxJWFgYw4cPt1/Q5VSXvqyrokYyNTcVlUqFr6svACdTTuKqcSXcx7am+KlbpgLQtWHXCh2/Kq53WQlgeZvKa1uiL4QQom6otwng3r17ueWWW8yfp0wxPXk5btw4vv76a55//nmysrJ47LHHSE1N5aabbmL9+vW4ubnZK+QqVdeagMuSZ8ij94+9ATjw4AFStamM+NU0xM9j7R/jqU5PFdumpOSo6HRrR64eoU1AmzKbeKsiASw6rIuRIglgOfsAVvl9rjt/UwghhKiEetsE3LdvX9OXaZHX119/DZj6c82dO5fExERyc3P5888/iYyMtG/Q5VXKl3Vtqxmq7EMgybnJ5vdZuixOpRY8aPHZoc/M7wsncSVdA6NiJJsE8+d719zLnJ1zyg6iCpKj1SdXW8ZiLF4DWFk6g67K9ymEEKJ+qbcJoKOrlnEAa0n1UEk1dVdzrvJR9EfmzyVdA4NiKLZsxYkVJGUnsfrk6hIHTlbb+M+lcMJ1Ou00v8b9ao4l12A500zRGsCScrXTaadtOvbexL3c8P0NfHrwU5vKF1Vb7rEQQojqVW+bgB1dbav1UZTSHwIpy8nUgv6cKlRW9/XCPy+w++LuMvdlMBZPAAFGrx1NUnYSp9NP88wNzxRbb2v8OmNBDdzQVUMB0/kPazmsWJ+/ok3CV3KvkKnLLLbPooljPgWF1NxUoi9HM2/XPJKykwD4IPoDm2IVQgjhmCQBrNNKTvJqWwJoUAy8u+/dCm9fuOlUde2/ws6knymW/BWuAbTladv85Gnz2c1WE0BbBnEuya6LuzibcZav//u61HKLDy+2urykmrnk3GRz30ghhBDCVpIA1le1K//j77N/V9m+rNXEDVk5pNiywklw4WZftar0ptwcfU4lorNuU8Imm/ZrrXkaKjdAc317IEgIIUTlSR/AeqqkGsBzGecwGA30/bEvUd9EmWu9qltKbkqV7cvWfmoKCocuH2LliZUWzb5lJVPnM89XKj5rbE0qc/XWm3or0zevPLXB0gdQCCEcg9QA1mGlfVmX9KX/1t63eGvvW+bP/X7qV2y+2ooq3M/vSs4VjqccN68rqWarwseyZQYMRWHMujGAZb+8ov3uapOSkk9JzIQQQlQlqQGsw0pLgaqy2S85N5kfjv5Qah+4Q5cPccvyW/gt7jfOZpzlluW38PjGx83rY5NjS9y2tP55uy/uZtzv48jWZ1ssLzrUiTWFk8R5u+aZ37+y45Uyty2v1NzUKtmPNAELIYSoCVIDWE+sOrmKvo37mj9XZoqxXH0uLhoXc1+5m3+8udTyR68eNde0vbTtJatlig6+XNh3R76zulxv1PPohkeLLf/j9B/M2jGr1JgAbll+S5llbHE5+zKfHPyk1DKZukz83PwqfSy9UW91ebYu2+pyW5SrCbgSiaYQQoi6QxLAemLm9pkWn0tKJEpjVIx0+LZDubd76q/is3DYSlEU/jj9h9V196+93+pyW5K/qnTrT7eWWcZV41olxyppiJpVJ1dVyf6FEEIIkASwTiutrqYife4+jP6wQnFcyr5Uoe2yddl0X9K9xPVHk49WaL9VobLjFlaUXrGeuLtoXGrk+NLXUAghHIMkgPVURRLAwlOq1YQHfn/A6vKU3BSLhzbsQa/ocVY5cyb9jE3lq2rcxZJqbt2d3Ktk/2U5kXKiRo4jhBDCvuQhkHqqIk3ANa2kZOPxjY9XuDayquRfP2vjC1qjKAo5+hx0Bh2+rr4VPq614WJik2PpFtqtwvssj83nNlfpkD1CCCFqJ0kA67CqbAKuzEMjo1qNKvc2vZeVPHvF0eSj7Lu0r8LxVIXyJtBag5a+P/Zl0IpB+Ln6VWksW89ttXkeYmvK+xTwhcwLFT6WEEKIukGagOuyUjLAkh4mKCq/aTEhPaHEMmqVutQEcdfFXTYdq7BUbWqp6ws3vd4WcRsbz2ws9zEqQ2/Uk2fIs7l8QkYC2fpssvXZBCgBVRrLewfew03jVqX7LE1tm0ZQCCFE1ZMawHrK1hqs/ESx6AMXET4RbLtvGzHjYjg49iChnqEl7sPa4MVNvJuUI9rSvdP3nSrbl630Rj37k/bbXL5wwl2ZIVtKkmuwPkOILcpK6IrWEFamNlgIIUTdIAlgPVXS06QllQtwK6i1Ojj2IGtGrLHoy1beZt5pXaZxT+Q9NpVt4duCO1vcWa79l6SqHpbQG/UcTDpo/rx99PZSyx9IOmB+X5lkrTqUlQAO/mWwxedJmyZVZzhCCCFqAUkA6ylbm4CNihGD0cDcnXPNy/IHgC6stCFR2jdoX2yZWqVmcufJNsVwZ8s7uS7gOpvKlsXWOXfLYlAMrD+93vzZx8Wn1PJfHv6ySo5rD0VrcFO0KZxKOyUziAghRD0mCWA9VZ6HQPSKnoSMkvsAgvWkMJ+1admiL0ejUWlsOv6oVqNKbHZ8/abXbdpHvgfaWB9apryMipEbQ2+skn3ZW0USuWGrhvHpoU+rIRohhBC1gSSA9VR5+uDZ0l+wtAGCrTU3j2873qaBlFfcuQJfV1+2n7fexDq0xdAy91HY4GaD2X3/bqZ1mVau7YoyKAZz/LeGm2YC6dWoV6X2WdfYeygeIYQQ1UcSwHpq8X+LbS5rSwJoSw3gVwO/4p7Ie/hm0Df4uvraVAMY6R8JwM6LO4utm997fpnbF+Xm5IaHswfj2o4rtu634b/xYrcXbdqPUTGa5yj+6+xfAIxtM7bc8dQG8lSvEEKIohw6AZw9ezYqlcridd11VdMXrWYUr2EL9gi2acsg9yBzrZ4ts26UmgBe295F48LMHjO5oeENADirnUvd5w+3/2B+H+xePO6ytrfGXVPyQyBNfZsyps0Ym/Zj7cnm2jJLWiOvRuXbQIFHNzxK1DdR1ROQEEKIOsehE0CAtm3bcvHiRfNr27Zt9g6pUlr4trCp3Oe3fY6T2jQMpC3j3ZXaBHytBrFowlZaE3CbgDYWD498ObD4QxQu6vLPf1tSbZeXs1e59jNx00Q8nDwAeK7Lc0DVzZNb3liK6hTcqVzlL2RdYPfF3ZU6phBCiPrF4RNAJycnQkJCzK+goCB7h1QptvS7W9R3ES39W5oTwPS8dPO6ln4ty73f/BrA/P3ZomjZpr5Ny3XMkoR6WR+v8PeRv5d7X9l603h+bQLblDuePo370Ldx32LLwzzDWDlsZbljqYw5O+dUanuD0cD/Nv6PhXsW2lQ+OimayX9Ptl6LKoQQolZw+ATwxIkThIWF0bx5c8aMGUNCQulPw9Ym1mqkbJqH9tpm+TV25zMKvqiXDVlmdRNbmoCtNdlWJKHMdy7jXJllClOr1DiprCehfm5+5dpXYfk1nOWpAXRSOfF+v/eJfjCaqZ2nmpePihxFiGdIhWOxhz2X9rD9wna+PfKtTeUf/P1BNiVsYtCKQTKvsBBC1FIOnQB2796dr7/+mvXr1/Pxxx8THx9P7969ycjIsFpeq9WSnp5u8bKnZG1SsWW2Dr0CBbVwJ1JPmJe5alytli0p+ckz5JXYBFz4GEVZa6ouOth015CuVrctiavGtUK1hmVp4WeKtVwJ4LXz1qg13NrkVvPy0hJpW9X0Qx1FHxK6knPF5tlCBq0YJDOLCCFELeTQCeDgwYO5++67ad++PQMHDmTdunWkpqayfPlyq+Xnz5+Pr6+v+RUeHl7DEVsyFBl+5YNbP7ApSUnNTQUKkhFbhvsoKXE5m3G21CbgkhJSa0/pFk6UAHMfPFuVlLxWVgP3BkD5moAL96vUqAuuweazm6sqrBpzLPmY+f2G0xu4ZfktPLjuwWLlkrKTGPe75X3N1mfT4dsO7Lu0r9rjFEIIYTuHTgCL8vPzIzIykpMnT1pdP336dNLS0syvs2fP1nCEJdOoNNwcfrNNSUqQu6mfo63zBUPJCaDOqCu1BjDCJ8Lqdm5ObsWWFU0WrZUpTXUlgBWpVYxNiTW/L3xeBy8ftFa8XGpyhg6tQcv/7f8/8+epW0zN2YeuHLKIR2/U0++nfiXOnzx+/XhSc1P5Le63apkrWQghRPlIAlhIZmYmcXFxhIZaf5DA1dUVHx8fi1dt4ensCdjWTNkzrCcAqdpUm/dfUhKUqy+Y99ZZUzwBHH3daOv7sxJn0WOUd17f8iaM5VWe5ts+jfuY35fn4Zja5q09b5W47njKcQCmbJ5C3+V9y9zXoxse5aVtL7Fwb/GHSX6L+40Xtr5gdVYZIYQQVc+hE8Bp06axZcsWTp8+zY4dOxgxYgQajYbRo60nLbWN2kpSZkuSYi1RK0tJiWXhuXetPYBR0gMP1vZX2RpAF431YWOK7rfc4+hdU54+gIWT16oaPsYefjv1W4nrRv06ijRtGn8m/EmaNq3MfeXXiv58/GfOplvWnr+07SXWxa/jp+M/VS5gIYQQNnHoBPDcuXOMHj2a1q1bc8899xAYGMiuXbto0KCBvUOrsOp4CAJKTiwLJ4DWEssQzxDe7PMmnw/43GK5tTgLH8NF7VLumjM3jfWEsWhfwjk9Sx8WxceloGZ3YNOB5vflubbleRinvGryIZAsXVap6+f/W/7ZWgBuX3k7uy7uYsG/C9AatOblybnJFdqfEEKI8qm7bVNVYNky60Oe1GWVqW36tP+n5d5v/lh5YL0GEEzz89qicALo5VL+wZJLqgEsmjCVVA5M5+nm5GYeG7Frw64W62y18cxGJneeDECge6B5+YSoCTbvoy5Ye2pthbedsMF0Lfxc/czLPj30KU92fLJKnpYWQghRMvktW6eV3Y+uNL0a9bL43DG4Y4llS/pCzu/Q76R2qnTtY+Fas4o80FFSDWDRYUhKSy5+ufMXi+bbyzmXyx0HQEKG9fEk85Odz277rEL7BahvU/sWfQq9w7cdZOYSIYSoZpIA1hP5yZe6HLfUWWXZZFvaQxdlNQFXZN7eogonkKXV0pXE1hrAkmoq7219Ly39W5KuLRjfMdSz4IGgyiS4HRt0BGBA0wEAXB94fYX35Qge3fAoV3OuAqan1WvyyWchhHAEDt0EXJ/kf0GWJ0kp2mevtG1LWpffR6wqEsDCNYC27q99g/YcumwakqSkIVYMRoPF57KaF1O0BbNX9GvSz/y+PE3Aj7V/zOLz14O+JlufjbeLN1C9fQTri77L++Ll7EWmLhOA72//ng4NOtg5KiGEqB+kBrAOc8ssPg5heacry3dX5F2lli1pv/mJYVUMdVKRGsB7Iu8xvy/6AMG7fd/Fz9WPD/p9YLG88MDMZSk8hVx5ru11AdcVO2Z+8ldWDGVdSyUz0eY4bGFtzuLaIj/5A9NwM/m+P/I97x943zwIuRBCiPKRGsA6LCHzRLFlZdUA3tnoGfP7wjWAkf6RpW5XE03AhWvFXNS2JYCFh4opWuvWP6I//Zr0K3ZNSqp9K6uZsSqfAi5tvbPaufRBuk9vAy9Pm2MpUx0ZpSYpOwm9UU9SdhJv7HkDgOikaL4c+GWZ2+YZ8irUrUAIIeorqQGsw/7MOlRsWVnNm5He3czvC9c0lTXocknJT46uYgmg1YGgKX8NYOEHP/IHw7bYp5W4bW1+DfYILjG+spR1jNLuU00PHF2efqP21u2HbgxcUTA0z7+J/xL1TRRzds4hNjmWPEMePx77kS9jCpLC+bvn0/n7zpxMKZjh51LWpWJjEQohhCORGsB6pqwkpfD6wklb0X5yRZWUJGw4swGAc5nnbA2xRBZ9AG0crLrwOHXnMmyLoazkbMfoHfwY+yMPtHnAckU5asrKSsRLi6Gsbav6cYgMXUYV77H6lNTk+/Pxn/n5+M8Wyxp6NqSRVyOWHFsCwIhfR7D/wf0cTDrIQ388BMBtEbcxqOkgbmlyi/nfg96oLzEJP5V6ivWn1zOh/YQqqfUWQgh7kQSwnsiv6SqzmbLQ+sLDo/x0/CdGRY4qcbOSkpKKDtxry0DQtugQXP6HAsrqA+jt4s2jUY8WW16uGsAyjlFdA3ZXREZe3UkAy2P6P9OLLbvhuxssPm88s5GNZzYCpn6wRZPIZr7NiE+LJ8AtgHUj1zFs9TAAPj74MbvvNw1V4+FsGmhcURSr97Wk5UIIYU+SANZGOz+EnR9Bh3uh3yybNjE/BVxmDWCBwrN4zO01t/TtauALzCIBLKMJuF1gO25repvFtG5dQ7qWsoX145RHeRLAytQOlTWtWlXXANblqeqqUtHkDyA+LR4w/aFz45IbLdZ1X9IdgBuCb2B/0n6cVE64O7vzSf9P+O7Id9zf5n6++e8bNiVsYvvo7eYZZlafXE37Bu1p5tusSuN/b/97uDu5M6F9/RpsXAhRPSQBrI20mZB+DnJSyi5bRFnJjapQU27hwXbLfAikBvqJlacG8P429zO0xVCLZbaOFVfRPnblSYJruh9fZRT9mfn+9u95YN0DJZQWRe1P2g+AXtGTkZfBmHVjAFh/er25TK+lvYgZF0PUN1EW2/q6+hIVFIXeqOeW8Fu4t/W9qFVqXtr2Evsv7UelUjGmzRjaBbXDVeNqMX5k4ZrFxKxEPo8xTbc4vu14jBgrNJi6EMJx1J1vKUeiUpOlUuFuNJQ77Sq7NqdgfXlmuSgrsRzecrjN+7LlGGXVABYu269JPw5dPsTN4TdXOobS1FQNYE0zKJb9Pxt6NKzW4y0bsoz71txXrceojYomf2Cq7d12fhsAuy7usjq38pt73ixxn70b9WbhzQvNSSfAf1f/48HfHyTIPYgFvRfw2aHPmHnjTJr6Ni22vd6o56fjPxHqGUrf8L7lPykhRJ0lCWAtlKDPYFhEY27PPMJrJZQpOr1ZvrJqqSrakltWAmhrn73S9lfRBPDdvu+iV/TVnnTZswawf5P+/JnwJwBKFTfHH0s+ZvHZ19W3QvvxdPZkTs85TNsyrdRyLXxblLr+uoDrOJFyolhiKor75/w/xZqmH/z9QQCu5Fzh0Q2mvqxDVw2la0hXPJ08ubv13fi6+nL4ymHe2vuWecihdSPWEe4TXrMnIISwm7oz/oMDWZ11Cr1Kxa+6SyXObnEm/YzV5eWpAewZ1tPmmMp6cra8A/IGuQcVW1aeJuDCyZhKpaqS5K/olHHFjlnBQbarwls3v8VLVyr2wE15RDrdX+aQQCXZdPcmBjYdaHXdzBtnmt87q50J8wyzWu6x9o/x09CfiB4bXaEYRMn2JO5h87nNTNw0kQfWPcCCfxdYjDd5+8rbOXj5IB8c+ICob6LYeGYjufpcO0YshKhOkgDWQikGrfn9A+seQGconlyVVCNXdh/AgiRmTs859Gnch09v+7TMmNTq0vdb0aShMIuBoMuqAazEj66/q7/V5WV1yreWAKpL6Hdoy2wjy4csL7OM+TgVfHClvDRKXoW3tTYOI8DdkXdzd+TdrB+1no13bUSj1vB8t+etln2q01Pm98vuWFau49/Z4s5ylRfFPbDuAT49ZPp9MGXzFLr+0JV9l/ax79I+xqwdwyN/PMLoNaP5Ne5Xq9vLnM1C1B3SBFwLFf0VuvX8Vos5aaFq+piFeIbwYb8PbSpbVg3g4x0er3Q8hWv1yhoHsDJPJWvUGuZd8WZmUAa3ZGUzbtRytp/fzn3Xld4vzeqg0oC1xvjC076VpE1gG9yd3C2exi7t2DXxrG6LrGiby/46/FfuXFU86bou4Dpzs3LMuBjz8sJPbPdr0o+Vd66kkXcjhqwcQlJ2ErdF3Gaxn7ZBbenSsAsxV2L4Y9QfaA1anvrrKY6nHC92zE13byLYI5hWfq14e9/bNp8DwKwesxjZciQ5+hxm75zNH6f/KFZm0S2LWHtqrXnIGEcyfv34YstmbJvBjG0zytz24/4f09y3Ocm5ybT2b82ui7to5NUILxcv3JzccHdyx1ntTEZeBim5KTTxaVINZyCEsEYSwFqoaB+v7ee3F0sASxp/rzw1gOVR2nZ3triTALeAMvcRqLhxVVVyk5LFQNBlJLhlDZVSljY6Z7adOYeP0YiqYWc6N+xc5jbWroGuhETUWhN3XeCsaMsudE1JNabhLn4cs7rGUkv/lgBsvGsjFzIv0Ni7sXldeq6OB77YzeB2M/h0dBNzjfCKO1egM+i44XvTeH4eTh58O/hb86wt49uNp3VAazaf3cyULlOYtGkSuy7uMu93233bzH0cT6edJsQzxDydoJeLF2/d/JY5Afxq4Fd0DemKwWhAo9Zwa/it5BnzOJh0kGa+zfBz9SM9L50Hf38QFSoSMhKKnaO/qz+rh6/G382fl/55id9O/Uan4E40cG/AS91fou/yvjZcqbrriT+fqJL9+Lv6k6JN4baI27icfZlW/q346fhPTOsyjTYBbUjPSyfQPZAtZ7egN+rZc2kPXwz4gtjkWDaf3cwD1z+Au5M78WnxdGjQQcZlFAJJAGspy19O+U8JFnYh84LFZ/M4gGX+YqvYL77SmjRLeiClqDn6HpzIWEm/7Gw2HrlEgKcLnSMKmmMLJ69lJYD547NVhq/RtrjNrFw6f4OBFI1tU8tZ32X570d1NrL5Gq3/SljQewEv/vOi+XN+bd6znZ/l3X3vWpRVpVv+bJZFnbCbxn+8BLe/BY1Nifg3209z6Fwah86l8UTflhblnTXOzOk5h23nt7Gg94Ji3QV6hPWgR1gPAGbdOItnNj/DQ20fYlDTQRY1y9aeigV4/9b3iUuNo0vDLkDBz75KpcJV40q30ILpFAPdA1k3ch1Q8JRv70a9CXQP5MkOTxLqFWou+3rv13m99+sWx1o3Yh23r7ydKZ2ncEv4Law4sYJdF3dxZ4s7CfcOp294X06nnSbMK4zErETuWHmHeVt3J3f8XP1Qq9Sczzxf4vW1tZa5NkvRmobEyq+Bjb4cDcBbe98qcZueSwv6OH9z5JsKH7t3o95cyLxAnjGPh9s9jIeTBxezLrJo/yLcndxZPWw1h68e5sbQG63W/GfmZeLl4lXh4wtRXSQBrJUsk4J7Wt9TrESoZ2ixZQAnUk6UuufA5GigVbkjKq1mcf+l/Tbtww01j6alA3DLt3sBOL2g4Aut8DHKanK+MfTGUteXqQJ5sPX5iyvo8nE4s83qdb3BN5L9acWbOaurzqKBewPzkEDuWuvXfUDEYIsE0NfJ9EX3cLuHaenXkhDPEPO6pPQ8m3+zKLpcVIsHmT58fTu8fAkArb705Hxkq5GMbHYHlPFzEu4Tzi93/mJbMNf0De9boSFR9j6wl0OXD9EpuJPNT4GH+4RbNJNP7TK1WJn8RLWJTxNixsVgMBo4dOUQ1wVcZ+57+2XMlyzav4g3er/B7c1vB0wPZjmrndl5YSePbXwMgLk953I+8zwDmg5g6uapnE4/bT7ODcE3MKDpABb8u6Dc516f/XP+H/P7OTvnWKzL0ecwYMWAajluU5+mXB94PeviTX9gtPRryeBmg/F09iTQLZB2Qe3I0mXR2LsxGXkZ5Opz8Xfzx9vFmxx9Dm4aNzRqDUbFiAqVuXIgV59rrvUWjk0SwFooJveSxeefYn8qNjWZXtFjyVQvtClhU6n79sk8VaGYiiZki32781CaaSDpLH2WtU3KzSIBLOMhClvnCq5KVdoL70PTrCW65pbNqGtHrCXjy37cF1Bzv6BDvULNCaDHVTXJWcUfBOn9xt8oIa6oNKYm4rHHjsMwU81zn8Z9Cgrq89BmZ4GP9WMZjQqnr2bRLMiTmE8eov2llYW2zQWjAWXNFAafvUx750T+MnaCvZcgohc0aF1Q9txe+OJatwgnN3g+Hlw8CtYb9KDWlGvco92nrvLOxuPMHdaOyAbuJOcYCPS6NphyZhK4+UH6eYheAt3/B56B5m1TsvLYfyyOvrr9aHxbgau3aRsfK3+o5WUXxKoopOfqMCrgd+Latehwr3mdOX5FAb0WnE1f6p2cfEHlDDveh8ZdeSTqER5pMtB0XYxGUAw463PB1ZkeYT348PrHaOHXikatBl3bncKKIatwiVuPcfenqG98AsK7g0cAY1qMgMxL4N8URVHI0uXiZsgBV380GFBpnEnLTeVqbjI+rj4s2rcIBYWODTpyIfO8aZ02hb/O/mXztRfFnU4/bZGgn0w9yfsH3rdfQHbyZp83GdxssL3DqJckAayFuhk0FK7/uZBVvElt14VdFp/zk5MJqWl87lfyOG5OFbzlRWuqOuUVJKDtg9pXaJ+lHaOsZuWqHmbFFtaa143At72/YObBeSUOzVMabZGx7pr4NCFBrwNKTgCrsgn4xavJLOCQ+bMGOH4pg7cvXWZqwwbm5Ynpubi43ohr0BYA2ujPsfHIJZ77+SDv3tuRW1qb+uDpP7uFh3Ljed4niACDAS5Ew6+TYOB8dDnpvHrQi18OJjHtjo6MK5z85ZsbgApoC7TVwADNPlhzbV3/OSg9n8aggNMXhfrE6nNR1k3jgaQxBCnJvN45C881lg8l/e7Uj4XuTzPWay9jW2nJcQnC88/nyQ7pyvysYWQ4+ZJx6TTPOf1G0CdJqEjlHd3DrDb0JNp3Kk5F+5xufZPkiEEEnFnPemM3vtX3Z4nLtebd9dafcC5JsVx55WPl2t4WfYp8VgH5DedqgPgtVrdTAdYaL32vvQBerWBMRiBJo0GDgq/BiF6l4qSLM63z8nC99kOuVUGmSo1OpeJvD3e+8POhsV7PjTm5jMrIol+TRgQYDIxPS2ejhwejMzL4y8ODiSlp7HdzZV6QqW9y0zwdAUYD+92k5quueX7r8+w8toW5g6Vmuqo5fAL44YcfsnDhQhITE+nQoQPvv/8+3bp1K3vDahSYFAsBfubP1po7Pzr4kcVn9bXkJFxXtGbQkqqCAxQXrQHM0ebx2k2v8c1/3zC9+3Qb91J66lI4Adx4ZiNj2hTMbnBbxG0WT2DaY6o1azWAqRoNTbwas2bEGqszPVSEXmeZFB4ae+ja8avemPRMFgQWPMBzj2Yzj/59ku+yc3jhagpvBPrz1cVLdHW7n+xMFd2DTAMF+xiNvPbdb/ii4pnFKbw0sgc3+STROOkwAwGfxCSu0+bBZ9dmZ/lmCM7AHGCOG1B6RbV1f76C6s9XrP7SUkX/wA/8YPqwpvj6wfpNDM7YBBnARcgfsMYjcQ/z2GP6UGTkodecv+I156+ghOdiAs6YpnobpP6XQS7/lvdsHJ4aCDEU/Ky7KArttZa1z64KuF77Y3B0RiajMzIt1sfEFzx481BaBgBDM7MBaKnTcU+R8oXl/zYq69+VnpK/KJVC26erVaz39KRDrpbjrs74GoxkqNXckp1DulpNulrNBScnzjg7EWAwcMTVhV3ubmgUiHUt30D6jmZd4m/MRRLAqubQCeCPP/7IlClT+OSTT+jevTuLFi1i4MCBxMbGEhwcbLe4dEV+I9mS7OQPv+Vc1jhcFRxPruggyfqEPdx5z6dVOvZa4QTw9ma3W6yb03MOXRp2MU+VVdY4gWVxNZa/U3yJTcDXrvnu+3cze8dsXuz+ovVyNsjJM1Ak/ytW81jSHX7xarJFMmcr37Q7SPNdC4CrSs93Z019mh5Iz+CB9AxzOQ9F4cPEJLLVaoIMRja7Fuqvtq7grRrolSMDCIvazdY/qEr77Vt4Hz5GxZxwttZZjt3qYTAQYjAQqdPBtV89Q7OybY61IgonpxWhA4wqcFZM/6YNmFoIFCBHpcJVUczLjZj+frqo0RBsMKBTqbiqUeN17UG7VLWppveSxomLThp65uTipigcdXGhpU5HkkbDFY2aPJWKBGdnWublkazRsNLbiz7ZOXRp+pT1IEWlOHQC+M477zBhwgQeeughAD755BPWrl3LV199xYsvVvxLvLJijM1wUkzDvOhVKqtPARdn+qdeVgLoG/crUP5/TEUTLj9dEunv9cbnuWib96GxMltI4QntnVRO+Lj4kJ6XzrCWwyzKqY1uXPz9FF4NfMhWMmnhV8p0YpePg8YJApqXWKSpNtbmuM2SjpawwnTNPZw9ePPmkudttUViUiJ++iL38OIhCG1Pft3uOSfr/2xHF6nNs9W25I/ZluNGG23Zg0D3kcROVLEMxZ3P9HfQTJ3ISE3x33WXFR/SFU9aqC+al+00XI+PKotM3PEih28NA2hAKlOcfuZV/QOkKZ4owFV8CVclkaT40Vsdw3GlMS1UF0jBlyX6vgSoMsjDmShVPGeUYCLV5/jL0AlPVS56RYO7SstpJYSOIS4Maqzj9b3Q2eUsiTp3XNATr4Qwso0X1wfAlktu9PdPwkmlsDPFm2yVOzFnkkjVwpguoXRrFYIeZ9Kytby5eg992oRx7LKWjo28yTZqSMvREejhQpcmPsQmZXEiKYubIxvQqYk/yRlZRCck0zoskCAfN5p5G1lxOI3rQnz4ans8E3o3o3WID9laHUcupKLV6QnzceVMipYQXw/cXJwID3Bnd3wyRgUCPFzQaFNp4KEmpFETDAYFZycVh86lcUO4H8eTMknKyKV/m4bsTkhFZzAS2dCbK5lafNyduZqZRwMvZ1QqNXqjkauZeYQHeJCclUdcto6oRr7kZGo5nZ5Lm1Af0lNyaBLggTfQTFHIyNXh7OlCa5UKVyc1HhlaGhkUgrxdaKPV4+6swVmjppfOgKerE84ambOiOqgUBx26PS8vDw8PD37++WeGDx9uXj5u3DhSU1NZvXp1mftIT0/H19eXtLQ0fHxK6PVeAU+9/n+8nzeLLe5uTAqxrSbSx6Dwy8Df+O+HHjxTqO9WvkWXLtMtJxdvRSHW2Ji/b3iP68L8aRToTYCn67XO5goq80+Dgsr8o6FgVIz03TjcvL/8ppekx2JQUDAqKhSloJ7QqJgqxkJ/HIRz1gWu3ruGwB+HmLfvrX2XHMWN35+5CZVKxeWj22mz5XHOhtyEulEH3Lr8D9Sg00N2no5967/l7kuLyFapiOvxBiEtu6PJy8D54j5cY5aQM2AhOu9w1NpUAr69BYCrjx8izwgGg4KbixqVSoVRUdAbFEI/L95vMT6oL55dxoC7Pxr/RqjUGgyKCiMqnDROZH/VhdvDi09h9s95Hfrx683XEKORc2k61Bjxc1XwiP4SQ7u7cfIJI0dnxN1ZTeCnpubiqGYFA9++dvkqd2ZmWSyfcSWZHhleRJDIkMahnHEu+eGXmPgEzjppyFWpGdnY+lPihX13IZGONiR9onZ6WfcQrzovLrZ8ru5BsnFloHoPfTWHUKFwUt2MHLeGuPg25OuEIEZr/sI3MJTQmx9m5eadNG/dkS4tw0hwa41nzkW83V1Qh0bhpFGTmZ2Dl4fpaeP8P9aMRgWjouCkUZOeq8PHreYfyhKiMqrr+7sucdgE8MKFCzRq1IgdO3bQo0cP8/Lnn3+eLVu2sHv37mLbaLVatNqCDkHp6emEh4dX+Q/Q1f/+IvCnERiAjs1sGxk/VK9nw9kLZKtUdG9qOaH7y1eSubeUvjC2yk9K7knPYObVlErvr66xdm0/SEzi5krUiuVf00kpqTyemm5enqjREO/sRI9cbbGy1gzKzGLh5as2lQVYd/YC4frS+4vWV6sNPemv3oenynRtEzUhPK19ks+eG4frxb1kbfuEoHMbyXby5awxiKDAQNKbDyGgUUu8W92EFldcXVxQKzrOJ13B08sbNzcPXLPOoVw4iCpyILlGJ9xVWhRdDipPy0HBtXoDuTojvu4VT5oK15wDZOTqOJaYQZcIfxnkWAgbSALo4E3A5TV//nzmzJlTdsFKCmzTFzD1t1h+Nol7wq3XAj6SmsaX1574ffFqCnpFjQdGYuITyFWp6HotWRlZQvKXp2jQYERTUO1nqsm79l5BhXKtaVkB9p86T57aiGcV/c1gVEz7Vqus78+gqNCoFIyoUNvw7GueosGIGjeVzrx9/ldhSccoiUFRkYsLahTUKKgw4oGB+UlX2OrhzvzLVyn8WEzR66ZGwYAaZ5Vlh76i51y4E3thIdf6DBX287mL3FVCzV7h5A9MtXsPhoXw6uWrHHJ1YYOnB5sTzpv78NgrRTjl3wvfvEuoA5rif/ZPi3U7wh9Dp8sjLbw/PTp35Mcth+jeqQM6lSs9G+RicA9EdfRXjM1v4aLOk9Mnj9Ltho64XGsSNxgVnNQq03ApRp1pKBaAnFQMuelo/E1JsWXnAggBzLMy+/bH/br+AHgA+QPPBBYqXzDrtSuNwgqmt8OlKSr/poXKOKFyKT4/squTBlenig8eDsX7hXq7OdO1afmb/4UQjsthawAr0gRcUzWA5ZJ/+wp/IRQeP6y0ZVjWJBT9USixJqGEfZUaY+HxzGzctmgtR3m2MW9b2vHKiKXw9SgWR3mvQSmx2rq8qlT3/oUQoraTGsBrQ0A5IhcXFzp37symTQXjURiNRjZt2mTRJFyYq6srPj4+Fi+7U6mKJyLWvtxL+MIvnAioVCqLV6nHLG+MFdi2IklK/jbmbStxHqVeiypIoEo6v+pOziT5E0II4dBNwFOmTGHcuHF06dKFbt26sWjRIrKyssxPBQshhBBC1EcOnQDee++9XL58mVmzZpGYmEjHjh1Zv349DRs2tHdoQgghhBDVxmH7AFYF6UMghBBC1D3y/e3AfQCFEEIIIRyVQzcBV1Z+5Wl6enoZJYUQQghRW+R/bztyI6gkgJWQkWGaJzU8PLyMkkIIIYSobTIyMvD19bV3GHYhfQArwWg0cuHCBby9vat8aI38MQbPnj3rEP0T5HzrNznf+s/RzlnOt25TFIWMjAzCwsJQqx2zN5zUAFaCWq2mcePG1XqMWjPeYA2R863f5HzrP0c7ZznfustRa/7yOWbaK4QQQgjhwCQBFEIIIYRwMJIA1lKurq688soruLq62juUGiHnW7/J+dZ/jnbOcr6irpOHQIQQQgghHIzUAAohhBBCOBhJAIUQQgghHIwkgEIIIYQQDkYSwFroww8/pGnTpri5udG9e3f+/fdfe4dUpvnz59O1a1e8vb0JDg5m+PDhxMbGWpTp27cvKpXK4vW///3PokxCQgJ33HEHHh4eBAcH89xzz6HX6y3KbN68mRtuuAFXV1datmzJ119/Xd2nZ9Xs2bOLnc91111nXp+bm8vEiRMJDAzEy8uLUaNGcenSJYt91KXzbdq0abHzValUTJw4Eaj793fr1q0MHTqUsLAwVCoVq1atslivKAqzZs0iNDQUd3d3+vfvz4kTJyzKJCcnM2bMGHx8fPDz8+ORRx4hMzPTosyhQ4fo3bs3bm5uhIeH8+abbxaL5aeffuK6667Dzc2NqKgo1q1bV6Pnq9PpeOGFF4iKisLT05OwsDDGjh3LhQsXLPZh7WdiwYIFde58AcaPH1/sXAYNGmRRpi7dXyj7nK39e1apVCxcuNBcpi7dY1FOiqhVli1bpri4uChfffWV8t9//ykTJkxQ/Pz8lEuXLtk7tFINHDhQWbx4sXL48GElOjpauf3225UmTZoomZmZ5jI333yzMmHCBOXixYvmV1pamnm9Xq9X2rVrp/Tv3185cOCAsm7dOiUoKEiZPn26ucypU6cUDw8PZcqUKcqRI0eU999/X9FoNMr69etr9HwVRVFeeeUVpW3bthbnc/nyZfP6//3vf0p4eLiyadMmZe/evcqNN96o9OzZ07y+rp1vUlKSxblu3LhRAZS///5bUZS6f3/XrVunzJgxQ/nll18UQFm5cqXF+gULFii+vr7KqlWrlIMHDyp33nmn0qxZMyUnJ8dcZtCgQUqHDh2UXbt2Kf/884/SsmVLZfTo0eb1aWlpSsOGDZUxY8Yohw8fVpYuXaq4u7srn376qbnM9u3bFY1Go7z55pvKkSNHlJdffllxdnZWYmJiaux8U1NTlf79+ys//vijcuzYMWXnzp1Kt27dlM6dO1vsIyIiQpk7d67FPS/8b76unK+iKMq4ceOUQYMGWZxLcnKyRZm6dH9tOefC53rx4kXlq6++UlQqlRIXF2cuU5fusSgfSQBrmW7duikTJ040fzYYDEpYWJgyf/58O0ZVfklJSQqgbNmyxbzs5ptvVp555pkSt1m3bp2iVquVxMRE87KPP/5Y8fHxUbRaraIoivL8888rbdu2tdju3nvvVQYOHFi1J2CDV155RenQoYPVdampqYqzs7Py008/mZcdPXpUAZSdO3cqilL3zreoZ555RmnRooViNBoVRalf97fol6XRaFRCQkKUhQsXmpelpqYqrq6uytKlSxVFUZQjR44ogLJnzx5zmd9//11RqVTK+fPnFUVRlI8++kjx9/c3n6+iKMoLL7ygtG7d2vz5nnvuUe644w6LeLp37648/vjjVXqOhVlLDor6999/FUA5c+aMeVlERITy7rvvlrhNXTrfcePGKcOGDStxm7p8fxXFtns8bNgw5dZbb7VYVlfvsSibNAHXInl5eezbt4/+/fubl6nVavr378/OnTvtGFn5paWlARAQEGCx/IcffiAoKIh27doxffp0srOzzet27txJVFQUDRs2NC8bOHAg6enp/Pfff+Yyha9Pfhl7XZ8TJ04QFhZG8+bNGTNmDAkJCQDs27cPnU5nEet1111HkyZNzLHWxfPNl5eXx/fff8/DDz9sMQ92fbu/+eLj40lMTLSIzdfXl+7du1vcTz8/P7p06WIu079/f9RqNbt37zaX6dOnDy4uLuYyAwcOJDY2lpSUFHOZ2ngN0tLSUKlU+Pn5WSxfsGABgYGBdOrUiYULF1o06de18928eTPBwcG0bt2aJ554gqtXr5rX1ff7e+nSJdauXcsjjzxSbF19useigMwFXItcuXIFg8Fg8QUJ0LBhQ44dO2anqMrPaDQyefJkevXqRbt27czL77//fiIiIggLC+PQoUO88MILxMbG8ssvvwCQmJho9dzz15VWJj09nZycHNzd3avz1Cx0796dr7/+mtatW3Px4kXmzJlD7969OXz4MImJibi4uBT7smzYsGGZ55K/rrQy9jjfwlatWkVqairjx483L6tv97ew/PisxVY49uDgYIv1Tk5OBAQEWJRp1qxZsX3kr/P39y/xGuTvwx5yc3N54YUXGD16tMU8sE8//TQ33HADAQEB7Nixg+nTp3Px4kXeeecdoG6d76BBgxg5ciTNmjUjLi6Ol156icGDB7Nz5040Gk29vr8A33zzDd7e3owcOdJieX26x8KSJICiyk2cOJHDhw+zbds2i+WPPfaY+X1UVBShoaH069ePuLg4WrRoUdNhVtrgwYPN79u3b0/37t2JiIhg+fLldktUasqXX37J4MGDCQsLMy+rb/dXmOh0Ou655x4UReHjjz+2WDdlyhTz+/bt2+Pi4sLjjz/O/Pnz69yMEffdd5/5fVRUFO3bt6dFixZs3ryZfv362TGymvHVV18xZswY3NzcLJbXp3ssLEkTcC0SFBSERqMp9qTopUuXCAkJsVNU5TNp0iTWrFnD33//TePGjUst2717dwBOnjwJQEhIiNVzz19XWhkfHx+7J11+fn5ERkZy8uRJQkJCyMvLIzU11aJM4XtZV8/3zJkz/Pnnnzz66KOllqtP9zc/vtL+bYaEhJCUlGSxXq/Xk5ycXCX33B6/A/KTvzNnzrBx40aL2j9runfvjl6v5/Tp00DdO9/CmjdvTlBQkMXPb327v/n++ecfYmNjy/w3DfXrHjs6SQBrERcXFzp37symTZvMy4xGI5s2baJHjx52jKxsiqIwadIkVq5cyV9//VWsScCa6OhoAEJDQwHo0aMHMTExFr9k8790rr/+enOZwtcnv0xtuD6ZmZnExcURGhpK586dcXZ2tog1NjaWhIQEc6x19XwXL15McHAwd9xxR6nl6tP9bdasGSEhIRaxpaens3v3bov7mZqayr59+8xl/vrrL4xGozkZ7tGjB1u3bkWn05nLbNy4kdatW+Pv728uUxuuQX7yd+LECf78808CAwPL3CY6Ohq1Wm1uKq1L51vUuXPnuHr1qsXPb326v4V9+eWXdO7cmQ4dOpRZtj7dY4dn76dQhKVly5Yprq6uytdff60cOXJEeeyxxxQ/Pz+LJydroyeeeELx9fVVNm/ebDFcQHZ2tqIoinLy5Ell7ty5yt69e5X4+Hhl9erVSvPmzZU+ffqY95E/TMiAAQOU6OhoZf369UqDBg2sDhPy3HPPKUePHlU+/PBDuw2LMnXqVGXz5s1KfHy8sn37dqV///5KUFCQkpSUpCiKaRiYJk2aKH/99Zeyd+9epUePHkqPHj3q7Pkqiump9CZNmigvvPCCxfL6cH8zMjKUAwcOKAcOHFAA5Z133lEOHDhgfup1wYIFip+fn7J69Wrl0KFDyrBhw6wOA9OpUydl9+7dyrZt25RWrVpZDBOSmpqqNGzYUHnwwQeVw4cPK8uWLVM8PDyKDZnh5OSkvPXWW8rRo0eVV155pVqGzCjtfPPy8pQ777xTady4sRIdHW3xbzr/ac8dO3Yo7777rhIdHa3ExcUp33//vdKgQQNl7Nixde58MzIylGnTpik7d+5U4uPjlT///FO54YYblFatWim5ubnmfdSl+1vWOedLS0tTPDw8lI8//rjY9nXtHovykQSwFnr//feVJk2aKC4uLkq3bt2UXbt22TukMgFWX4sXL1YURVESEhKUPn36KAEBAYqrq6vSsmVL5bnnnrMYJ05RFOX06dPK4MGDFXd3dyUoKEiZOnWqotPpLMr8/fffSseOHRUXFxelefPm5mPUtHvvvVcJDQ1VXFxclEaNGin33nuvcvLkSfP6nJwc5cknn1T8/f0VDw8PZcSIEcrFixct9lGXzldRFOWPP/5QACU2NtZieX24v3///bfVn+Fx48YpimIaCmbmzJlKw4YNFVdXV6Vfv37FrsPVq1eV0aNHK15eXoqPj4/y0EMPKRkZGRZlDh48qNx0002Kq6ur0qhRI2XBggXFYlm+fLkSGRmpuLi4KG3btlXWrl1bo+cbHx9f4r/p/HEf9+3bp3Tv3l3x9fVV3NzclDZt2iivv/66RcJUV843OztbGTBggNKgQQPF2dlZiYiIUCZMmFDsD++6dH/LOud8n376qeLu7q6kpqYW276u3WNRPipFUZRqrWIUQgghhBC1ivQBFEIIIYRwMJIACiGEEEI4GEkAhRBCCCEcjCSAQgghhBAORhJAIYQQQggHIwmgEEIIIYSDkQRQCCGEEMLBSAIohBBCCOFgJAEUQgghhHAwkgAKIYQQQjgYSQCFEEIIIRyMk70DqMuMRiMXLlzA29sblUpl73CEEEIIYQNFUcjIyCAsLAy12jHrwiQBrIQLFy4QHh5u7zCEEEIIUQFnz56lcePG9g7DLiQBrARvb2/A9APk4+Nj52iEEEIIYYv09HTCw8PN3+OOSBLASshv9vXx8ZEEUAghhKhjHLn7lmM2fAshhBBCODBJAIUQQgghHIwkgEIIIYQQDkb6ANZ1eVlg0IG7n70jEUIIh2M0GsnLy7N3GKIIZ2dnNBqNvcOo1SQBrOteDzP9/6WL4OJh31iEEMKB5OXlER8fj9FotHcowgo/Pz9CQkIc+kGP0kgCWF+kxEPDtvaOQgghHIKiKFy8eBGNRkN4eLjDDiZcGymKQnZ2NklJSQCEhobaOaLaSRJAIYQQopz0ej3Z2dmEhYXh4SGtL7WNu7s7AElJSQQHB0tzsBXyJ4sQQghRTgaDAQAXFxc7RyJKkp+Y63Q6O0dSOzlsAmgwGJg5cybNmjXD3d2dFi1aMG/ePBRFsXdoQggh6gjpX1Z7yb0pncM2Ab/xxht8/PHHfPPNN7Rt25a9e/fy0EMP4evry9NPP23v8MpPElchhBBC2MhhE8AdO3YwbNgw7rjjDgCaNm3K0qVL+ffff+0cmRBCCCFK07dvXzp27MiiRYvsHUqd5bBNwD179mTTpk0cP34cgIMHD7Jt2zYGDx5c4jZarZb09HSLlxBCCCFM+vbti0qlQqVS4ebmRmRkJPPnz5fuVbWQw9YAvvjii6Snp3Pdddeh0WgwGAy89tprjBkzpsRt5s+fz5w5c2owSiGEEKJumTBhAnPnzkWr1fLXX3/x2GOP4efnxxNPPGHv0EQhDlsDuHz5cn744QeWLFnC/v37+eabb3jrrbf45ptvStxm+vTppKWlmV9nz56twYjLIJ1dhRBC2GD9+vXcdNNN+Pn5ERgYyJAhQ4iLizOvP3fuHKNHjyYgIABPT0+6dOnC7t27zet/++03unbtipubG0FBQYwYMcJi/x4eHoSEhBAREcFDDz1E+/bt2bhxo3m9Vqtl2rRpNGrUCE9PT7p3787mzZvN669evcro0aNp1KgRHh4eREVFsXTp0uq7IA7KYWsAn3vuOV588UXuu+8+AKKiojhz5gzz589n3LhxVrdxdXXF1dW1JsO0nVSvCyGE3SiKQo7OYJdjuztryvXEa1ZWFlOmTKF9+/ZkZmYya9YsRowYQXR0NNnZ2dx88800atSIX3/9lZCQEPbv32+e7WTt2rWMGDGCGTNm8O2335KXl8e6deusHkdRFLZt28axY8do1aqVefmkSZM4cuQIy5YtIywsjJUrVzJo0CBiYmJo1aoVubm5dO7cmRdeeAEfHx/Wrl3Lgw8+SIsWLejWrVvlLpYwc9gEMDs7u9jI7RqNRqb0EUIIUW45OgPXz/rDLsc+MncgHi62f52PGjXK4vNXX31FgwYNOHLkCDt27ODy5cvs2bOHgIAAAFq2bGku+9prr3HfffdZdIfq0KGDxf4++ugjvvjiC/Ly8tDpdLi5uZlH10hISGDx4sUkJCQQFmaaynTatGmsX7+exYsX8/rrr9OoUSOmTZtm3t9TTz3FH3/8wfLlyyUBrEIOmwAOHTqU1157jSZNmtC2bVsOHDjAO++8w8MPP2zv0IQQQohqc+LECWbNmsXu3bu5cuWKueIjISGB6OhoOnXqZE7+ioqOjmbChAml7n/MmDHMmDGDlJQUXnnlFXr27EnPnj0BiImJwWAwEBkZabGNVqslMDAQMI3T+/rrr7N8+XLOnz9PXl4eWq1WZlypYg6bAL7//vvMnDmTJ598kqSkJMLCwnj88ceZNWuWvUMTQghRx7g7azgyd6Ddjl0eQ4cOJSIigs8//5ywsDCMRiPt2rUjLy/PPIVaiccqYz2Ar6+vudZw+fLltGzZkhtvvJH+/fuTmZmJRqNh3759xaZn8/LyAmDhwoX83//9H4sWLSIqKgpPT08mT55MXl5euc5TlM5hE0Bvb28WLVpUj8YQkj6AQghhLyqVqlzNsPZy9epVYmNj+fzzz+nduzcA27ZtM69v3749X3zxBcnJyVZrAdu3b8+mTZt46KGHbDqel5cXzzzzDNOmTePAgQN06tQJg8FAUlKS+fhFbd++nWHDhvHAAw8AYDQaOX78ONdff315T1eUwmGfAhZCCCEcjb+/P4GBgXz22WecPHmSv/76iylTppjXjx49mpCQEIYPH8727ds5deoUK1asYOfOnQC88sorLF26lFdeeYWjR48SExPDG2+8UeoxH3/8cY4fP86KFSuIjIxkzJgxjB07ll9++YX4+Hj+/fdf5s+fz9q1awFo1aoVGzduZMeOHRw9epTHH3+cS5cuVd9FcVCSANZl8uSvEEKIclCr1Sxbtox9+/bRrl07nn32WRYuXGhe7+LiwoYNGwgODub2228nKiqKBQsWmJtr+/bty08//cSvv/5Kx44dufXWW8ucQSsgIICxY8cye/ZsjEYjixcvZuzYsUydOpXWrVszfPhw9uzZQ5MmTQB4+eWXueGGGxg4cCB9+/Y1J6SiaqkUGZ67wtLT0/H19SUtLQ0fH5+aD0BRYI6f6f3/tkNIu5qPQQghHFBubi7x8fE0a9YMNzc3e4cjrCjtHtn9+7sWkBpAIYQQQggHIwlgvSEVuUIIIYSwjSSAQgghhBAORhJAIYQQQggHIwmgEEIIIYSDkQSwvpCHuYUQQghhI0kA6zJJ+oQQQghRAZIA1hcqlb0jEEIIIUQdIQmgEEIIIYSDkQRQCCGEEHY3e/ZsOnbsaO8wHIYkgPWF9AcUQghhZ3379kWlUhV76fV6e4cmipAEUAghhBBVZsKECVy8eNHi5eTkZO+wRBGSAAohhBAOZP369dx00034+fkRGBjIkCFDiIuLM68/d+4co0ePJiAgAE9PT7p06cLu3bvN63/77Te6du2Km5sbQUFBjBgxwmL/Hh4ehISEWLwAXnjhBSIjI/Hw8KB58+bMnDkTnU5XYpxxcXE0b96cSZMmoSgKWq2WadOm0ahRIzw9PenevTubN2+u2ovjQCQlr9Ok2VcIIWoFRQFdtn2O7exRrpEgsrKymDJlCu3btyczM5NZs2YxYsQIoqOjyc7O5uabb6ZRo0b8+uuvhISEsH//foxGIwBr165lxIgRzJgxg2+//Za8vDzWrVtn03G9vb35+uuvCQsLIyYmhgkTJuDt7c3zzz9frOyhQ4cYOHAgjzzyCK+++ioAkyZN4siRIyxbtoywsDBWrlzJoEGDiImJoVWrVjafvzBRKYp0Hquo9PR0fH19SUtLw8fHp+YDMBpgboDp/eP/QGj7mo9BCCEcUG5uLvHx8TRr1gw3NzfIy4LXw+wTzEsXwMWzwptfuXKFBg0aEBMTw44dO5g2bRqnT58mICCgWNmePXvSvHlzvv/+e6v76tu3Lzt27MDFxcW87PHHH+ftt98uVvatt95i2bJl7N27FzA9BLJq1So++ugjhgwZwowZM5g6dSoACQkJNG/enISEBMLCCq5z//796datG6+//nqx/Re7R4XY/fu7FpAaQCGEEMKBnDhxglmzZrF7926uXLlirt1LSEggOjqaTp06WU3+AKKjo5kwYUKp+x8zZgwzZswwf/bz8wPgxx9/5L333iMuLo7MzEz0en2x5CshIYHbbruN1157jcmTJ5uXx8TEYDAYiIyMtCiv1WoJDAy09dRFIZIACiGEEJXl7GGqibPXscth6NChRERE8PnnnxMWFobRaKRdu3bk5eXh7u5e6rZlrQfw9fWlZcuWFst27tzJmDFjmDNnDgMHDsTX15dly5YVqxls0KABYWFhLF26lIcffticIGZmZqLRaNi3bx8ajcZiGy8vL1tOWxQhCaAQQghRWSpVpZpha8rVq1eJjY3l888/p3fv3gBs27bNvL59+/Z88cUXJCcnW60FbN++PZs2beKhhx4q13F37NhBRESERc3gmTNnipVzd3dnzZo13H777QwcOJANGzbg7e1Np06dMBgMJCUlmeMWlSNPAQshhBAOwt/fn8DAQD777DNOnjzJX3/9xZQpU8zrR48eTUhICMOHD2f79u2cOnWKFStWsHPnTgBeeeUVli5dyiuvvMLRo0eJiYnhjTfeKPO4rVq1IiEhgWXLlhEXF8d7773HypUrrZb19PRk7dq1ODk5MXjwYDIzM4mMjGTMmDGMHTuWX375hfj4eP7991/mz5/P2rVrq+biOBhJAOsNeZZHCCFE6dRqNcuWLWPfvn20a9eOZ599loULF5rXu7i4sGHDBoKDg7n99tuJiopiwYIF5mbXvn378tNPP/Hrr7/SsWNHbr31Vv79998yj3vnnXfy7LPPMmnSJDp27MiOHTuYOXNmieW9vLz4/fffURSFO+64g6ysLBYvXszYsWOZOnUqrVu3Zvjw4ezZs4cmTZpU/sI4IHkKuBLs/hSRxVPAWyG0Q83HIIQQDqi0J0xF7SBPAZdOagDrMsndhRBCCFEBDp0Anj9/ngceeIDAwEDc3d2Jiooyj0dU99g+CKgQQgghHJvDPgWckpJCr169uOWWW/j9999p0KABJ06cwN/f396hCSGEEEJUK4dNAN944w3Cw8NZvHixeVmzZs3sGFFlSXOwEEIIIWzjsE3Av/76K126dOHuu+8mODiYTp068fnnn9s7LCGEEHWIPEdZe8m9KZ3DJoCnTp3i448/plWrVvzxxx888cQTPP3003zzzTclbqPVaklPT7d4CSGEcDz5w6Lk5eXZORJRkuzsbACcnZ3tHEnt5LBNwEajkS5dupgnkO7UqROHDx/mk08+Ydy4cVa3mT9/PnPmzKnJMIUQQtRCTk5OeHh4cPnyZZydnVGrHbY+pdZRFIXs7GySkpLw8/MrNnWcMHHYBDA0NJTrr7/eYlmbNm1YsWJFidtMnz7dYsT09PR0wsPDqy3GcpGqbiGEqDEqlYrQ0FDi4+OtTmkm7M/Pz4+QkBB7h1FrOWwC2KtXL2JjYy2WHT9+nIiIiBK3cXV1xdXVtbpDKwdJ+oQQwl5cXFxo1aqVNAPXQs7OzlLzVwaHTQCfffZZevbsyeuvv84999zDv//+y2effcZnn31m79AqRiXjAAohRE1Tq9UyE4iokxy200LXrl1ZuXIlS5cupV27dsybN49FixYxZswYe4cmhBBCCFGtHLYGEGDIkCEMGTLE3mEIIYQQQtQoh60BrHfkIRAhhBBC2EgSQCGEEEIIByMJoBBCCCGEg5EEUAghhBDCwUgCWJdZ9PuTPoBCCCGEsI0kgPWGjAMohBBCCNtIAiiEEEII4WAkARRCCCGEcDCSANYb0gdQCCGEELaRBFAIIYQQwsFIAiiEEEII4WAkAazTpNlXCCGEEOUnCaAQQgghhIORBFAIIYQQwsFIAlhfKNIcLIQQQgjbSAIohBBCCOFgJAEUQgghhHAwkgDWG9IELIQQQgjbSAIohBBCCOFgJAGsy+TBDyGEEEJUgCSAQgghhBAORhJAIYQQQggHIwmgEEIIIYSDkQSwvpDugEIIIYSwkSSAQgghhBAORhLAaxYsWIBKpWLy5Mn2DkUIIYQQolpJAgjs2bOHTz/9lPbt29s7lEqQNmAhhBBC2MbhE8DMzEzGjBnD559/jr+/v73DKSdJ+oQQQghRfg6fAE6cOJE77riD/v372zuUSlLZOwAhhBBC1BFO9g7AnpYtW8b+/fvZs2ePTeW1Wi1ardb8OT09vbpCqwCpDRRCCCGEbRy2BvDs2bM888wz/PDDD7i5udm0zfz58/H19TW/wsPDqzlKIYQQQoiqp1IUx5xQdtWqVYwYMQKNRmNeZjAYUKlUqNVqtFqtxTqwXgMYHh5OWloaPj4+NRa7mS4HXgsxvX90EzTuUvMxCCGEEHVMeno6vr6+9vv+rgUctgm4X79+xMTEWCx76KGHuO6663jhhReKJX8Arq6uuLq61lSI5eOYebwQQgghKsBhE0Bvb2/atWtnsczT05PAwMBiy4UQQggh6hOH7QMohBBCCOGoHLYG0JrNmzfbO4TykWZfIYQQQlSA1AAKIYQQQjgYSQCFEEIIIRyMJIBCCCGEEA5GEsDarFx9/KQ/oBBCCCFsIwlgbbViArx/g2mwZyGEEEKIKiQJYG0VsxyST5lm+jAa7R2NEEIIIeoRSQDrgj1flLBCmn2FEEIIUX6SANYFh360dwRCCCGEqEckAayNtJmWn8/vtU8cQgghhKiXJAGsjdZNK/82MiuIEEIIIWwkCWBtdHCpvSMo2fb3YNWTknAKIYQQdZjMBSzKZ+NM0//b3wvNb7ZvLEIIIYSoEKkBrDdquEZOl12zxxNCCCFElZEEUAghhBDCwUgCWJdJPzwhhBBCVIAkgEIIIYQQDkYSwFooza2RvUMQQgghRD0mCWAt9F/oCHuHIIQQQoh6TBLAWuhg4weYmvc/fg2ZVLCwrP5+0h9QCCGEEDaSBLA20riwwtgHb93VgmVp5+wXjxBCCCHqFUkAayG1yvR/rdqtYGHMT/YJRgghhBD1jiSAtZBaZcoAz7u2KFi4aU4ZW0kTsBBCCCFsIwlgLXQt/+OKU0gZJSXpq7P2LobPb4WsK/aORAghhAOSBLAWyq8BPOfashxbqaonGFE91kyG8/vg79ftHYkQQggHJAlgLZTfB9BYrid7pTawTpI5lYUQQtiBJIC1kPpaBqjI0C5CCCGEqAYOnQDOnz+frl274u3tTXBwMMOHDyc2NtbeYaG61gRsNNo5ECGEEELUSw6dAG7ZsoWJEyeya9cuNm7ciE6nY8CAAWRlZdk1rgo1Add0baHUTgohhBB1lpO9A7Cn9evXW3z++uuvCQ4OZt++ffTp08dOURU8BGKUHEsIIYQQ1cChE8Ci0tLSAAgICLC6XqvVotVqzZ/T09OrJY78GsBa3QdQJU8dCyGEEHWVQzcBF2Y0Gpk8eTK9evWiXbt2VsvMnz8fX19f8ys8PLxaYjH3AZT5fx2AJNJCCCFqniSA10ycOJHDhw+zbNmyEstMnz6dtLQ08+vs2bPVEkudaAKW5FMIIYSos6QJGJg0aRJr1qxh69atNG7cuMRyrq6uuLq6Vns8JT4EoijS9CqEEEKISnPoBFBRFJ566ilWrlzJ5s2badasmb1DAgpqAItVstWmBLC2xCGEEEKIcnPoJuCJEyfy/fffs2TJEry9vUlMTCQxMZGcnBy7xpWfW2Vq9RDevWCFYihlK2mSFUIIIYRtHDoB/Pjjj0lLS6Nv376EhoaaXz/++KNd4zqQkApA9NlU6D+nYIVBZ5d4rJI+gEIIIUSd5fBNwLXRupiLBR80zgXvr8RCWKeaD0gIIYQQ9YpD1wDWVurC/es0LgXv9XlFStoxgZU+gEIIIUSdJQlgLaQunFv5NSl47+5f47HUSrW05lYIIYSoKyQBrIXUhTNAd7+C94mHajyWktmpBtBogC/6wbIx9jm+EEIIUQ9IAlgLRTb0tr7CWMpTwHWlVuzfz+HHB6w0Z9soMQbO74Nja6o2LiGEEMKBSAJYC/l5OFtfUeowMHXEumlw9Dc4VNEnretIomsr6UsphBDCDiQBrIVSskqoHVPXooe2K5u4aDOqJo6aVtU1rXWl5lYIIUS9IglgLaQp1Adw6b8JBSsaXFfKVnUtkahr8QKHf4GFLeHMzqrbp9QACiGEsANJAGuh6be3Mb9/edVh8Glk+lAfmoArq3CNWU3Xnv38EGRfgR/uqpnj/fUafDkAdLk1czwhhBAOQxLAWijI09X83mBUQKUxfTAaLQvatfmwkjVXVRG7Yiy7THUw6qtuX6Vdh61vwtndELO86o4nhBBCIAlgreTsVCS5Ul+7TVWZeFRWbWi6dJT+c3qtvSMQQghRz0gCWAs5qS1vS47hWrJVr5qAK5i8WSSedkoAHSXxFEIIUW9JAlgLOWssa9fOpZqeCjboS64BrK3zGpeoovHasw+gEEIIUU9IAlgLqYo0r7ZSnwdg7lc/s/3kFfPypIyCpsGPN8cRfTa1RuIzqeEmYEWBn8bDLxMKL6zZGOx+XCGEEKJqSAJYh0xyWsmYL3abPyckZ5vf/3PyCsM/3M6JS9bH11MUBZ3BWGzZrwcvsD8hpXoCrkqZl+C/lXD1ZMGykh4CybgEV+NqJq5Kq2AymXrWNB3e6e1VG44QQgiHUItGFhZlcUMHQNMX13Lb9Q3ZfeQUh9wsy3y0OY537ukAmJ4gTsvRsed0Mj/sTuCfE1cY37MpUwZEcj4lh8H/9495u1Ov3245B3FZKlkBuC8hmWT/S9x2fUPbNrCW7JXUBPx2pOn/006CV4OKBVhqLHaoATy8AnJSoesjps+rnoDT/5imxJudVvPxiGqRpzdyMimTNqHeFi0BG/5LJC1Hx91dwgE4n5pDZq6e1iElTBtZTjqDEWeN1AcI4UgkAaxDVIVqizYeuYSPlXUrD5xn5YHzJe7j6x2n2XjkEgGeLhbLm7+0jkBPF7Y8fwtermX/WCRn6QgoX/gWNhxO5NODezm94I5K7KWMROzy0VITwHMp2TT0casbX3w/P2z6f8v+4B8BqQmll69HykpOkjJy8XFzxs1ZU+XHTsvW4ePuxJmr2TQJ8CApQ8v/bTrO2B5NaRPqY3UbvcHI6atZtGjgVaw7R2kMRoXIl38H4LUR7RjTPYL/LqTRJMCDx77bB0CPFoE09veg14K/APh3Rj+CvU1/BebkGXB3sbwGOXkGVkef55brglGrVCQkZ9E5wvJf7rHEdAb/3z883qcFLw4uGGz+YloOuTojK/adY93hi6x8she+7iVMU2mj/Qkp7Iy7yv9uboFaVdDdJb8Ps1ZvZMRHO8jS6vFxd2LhXR2sXmdFUVCpVBiNCipV8W4ztZXRqJTvD+16Jv++idpBEsA65ICxZZElFauJOp+aw/nUnGLLr2blcdfHO1g/uU+Zv6gm/3iA5meaMPvOtjYfNztPj8e196qq6EdXVk1cKeME7oy7yujPd9E5wp8VT/Qs74HLWb6SCp9nToopAazgL9FVB87zwd8n+fTBzrRo4FVFARZIy9Hh6aLBSaMmJSuPY4kZTF0ezRN9W/Bgj6bl2s8Pu89wJSOPxTviWfLojfRoEYjBqHApPZcwP3eytHp+2X+Omav/I8jLlb0v90erN+CiUXM5Q0uQlysfbT5JVp6Bp29tRfyVLI4lppOp1dOygRcGReGV1f8xoG0Ik25tafGHz9VMLZ1f/dMipjHdm3AyKZPd8cn8uOcsp+ab/njZGXeV/QkpbPgvkbfv6cg7G2NZF5PIq8Pb8cCNEWWe66db4gjzcyfYu2D8z8+2nqJJgAcPfvkvYb4F1fwr95/Ht9Bc4ScuZRLs7cbEJftZe+giX43vwq3XNTSNHwos/COWr7bHA+CkVqE3Kiwe35VbrgsG4ODZVOauOYKiwCdb4hjSPpSmQZ7o9EZ6zP/LIs5PtsTx3IDWqFSmZFWlUvHzvrPsOZ3CQ72acsd722jXyIf0HD1zhrVl5qrDNAvyZPH4rvzv+338eTTJvK+Ff8QS6OlC/zYNub97E57/+ZCpVlNr+aDb49/tY+vzt1gkDr0W/FXs99fBVwaQlq3jvs928lCvZkzo05xcnYHkrDw+3RLHwXNpvDq8HS/+cojD59M5OGsAe88kozModAz3I1OrIyldy6SlB7i7c2M6NfHnhiZ+BPtYNrEYjAr7E1II9nYlItATo1Hhr2NJRDX2JVdnoKGPm8UfIofPp5Geq+PGZoHc8+lO9p5J4ctxXejXpuSWj/0JKaRm53HrdWW3jpxPzTH/MRA//3YytXq83Yon6QajgsGo4OJU8h9S5U3OcnUGvt91hp4tggj0cqGhjxuZWj17TidzU8ugYn+0Ld4ez/9tOsHSCTeW+MeTwajw8qrDDGkfSq+WQTbHIipGpdS5x0drj/T0dHx9fUlLS8PHx/oPdEX1nL+JC2mmGSBOu90PwFFjEwbnLTCX8SGTQ26PATA6bwY7jbYnY6VZ+WRPRny0gzHdm/DaiCjOJmcT5OWKm5MK1Vx/AKbpHudnw83sfqkfRy+mk6c3snzvObR6A3d1bsywjo0s9qkoCvd8upOfEgcDsEB3H58Y7rS9BjD9ArzTxnLZi2fBzcp1n+1r+v+Dq6DFLVZ3N3nZAVZFXwCwPYb8/ao08EqybduUta8Oo2HEJ6WWOX7DLCL3zzUte2wLhHWE/+sIKfHXytneBNz0xbUAdG3qz0//s0x8951J5kBCKo/c1MzqF4FWb8DVyXotW9zlTBb8foyNRy4B8OeUm+n/zhaLMp+P7cJt1zdkZ9xVvtwWz6O9m3HkQjq9WwXx59EkDp5NZcYdbQj1NSU0f/x3yWL7uzs35qd95wCYN6wtvxw4z4GEVJvPvaqdXnAHpy5ncuvbW0osc0f7UHzdnVmy21Rj261pAP+eNv3sOGtUjOkewdc7TgMwvGOY+Weyul0f6oNWbyDuclaNHK+6NW/gyalC51L0c0W4OasJ9HTlfGoOs4dez7ieTWk2fZ15/StDr2fOb0cstmnd0JvXR7ZjzaGLLN5+usR9x8+/nTyDkbikLHL1BjqF+/HJllO8sf6Yucw/z99CeIAHuToDG45cwtNFQ9MgT/pd+3m7t0s4W09c5mKa5UxBK5/sSU6egfu/2M2gtiG8PjKKuz/ZQdzlLB7u1YyHb2qKj7szWVo9ob7u5OQZ+Gp7PAv/iGXmkOsZ2yOCzFw9/tdaid7bdIIsrR53Fw1XMrXcHBlMplbHsz8etDhum1AfvF2d+Pd0Mvd2CeenfWcxKjBzyPU09nfn8Wu12Dc08eOXJ3sBkJSey8oD59l0LIknbm7Bb4cu8Mt+UwvWydcG88mWOE5dzmJYp0bcHFm13Xmq8/u7rpAEsBKq8wfo481x5l8G+QkgQNPcJeb3hRPA+/NeYoexHTeojnOj+gifGoZioKqbxBROu40xf2qX+wWZ5jq94haP70puTg5eW18hxqM7b8Y1MZ9LfgK48smepGbruKGJPx3mbiDQ04Unb2nJoHYhNPJzL9iZlQRQPzUOlWcgu05dpV0jX1PzlKLAHD9TgQdXQotbrcb27I/R5qby0wvuMDcjfr3jNLdeF0xkQyt9q8wJoBplVjK5xzZyef9vhN+zEJWzW7HiRqNCUoaWEF/LdYqioMqPscNofms+izfWH+OTBzrTrpFvsePN0o1jrvM3pmWPbITwbijvdUKVfOpauTQOn09jzaGLDGkfyvWhPqjVKr7bdYbD59J4bUQ7nK79NZ6fALYN82HFEz3JuvYXe7dmgdwwbyMAY3tEMHdYO3MYBqPCR3+f5O2Nx83L7u/ehH7XBbM7PpnPtp6yeo2FEJXj5qwmV1d9Mx7l1wpbE+jpwgf338Doz3dV+XFvjmxARKAH3+48Y1P5Z/tH8kz/VlUagySAkgBWSnX+AGn1Blq/vB4oXwKYX3a67hGWGvpVaUwqjMS7PWD+fF/ey+wyXl/qNhM0a5jhvMQce358b+ju42PDnaVuu2BkFDHn09h45BKqjIvsdptUrMw7urt4zzASgAbernz2QCc6LW5uWtfwDd47E07f1g14tn8kKdl5OGvU5iep3cmlv3o/m40dySiSyP77Uj+6vb4JwNyslp+QKaholvuD+Vy+9HiE7cGjaRLgwbHEdHadSuaO9qHEX87iyMV0XJzUrHu6N2F+bjz30yHWxlw0b5sWeRcdDo00H/fU67dz5GI6B8+lMub39gB8oh/K/5x+A0Dn14Le2QtZrptIE+UiABefTbRorhvZqRFtQn14bd1R87Lbrm9IuzBf3v2zIIkTQoi6oHerIL57pHuV7lMSQOkDWGu5OmmY3L8Vi/48UaHtW6hMTUl91Af5P+cP8Vdl0l/7JieVxhWOqWij4DKXV2ma+4OVNQXCVFdL2FfZf3e8+EuM+X1ICeWnOP9sTgAvZ2i5++NtnLxW4RZ9NhkIZ3PsZTbHXi627avOixml+YdthrY8oJthsS4/+QN4+Ou9AJy+tl+DYnm+zukJ/JWcZLFs7aGL5vd5eiP939mCn4czqdk6i3J/HrVs5mz+UkET05hrx8tP/gCcU+NIzM1F54J5EKeifbV+OXAeijwItPHIJXPzrBBC1CX/nLhSdiFRbnXg8UfHNbl/pM1liyZURtSM16znW5c38FdlAvCn6/NVGh+AhuprnqiIwvGU1p35ac0vjNKYhsG5SfMfPmTiTm4pWxQwFtmzrdegaPJXEjVG7lTvsKlsvgakEoL1ZFsIIYQoShLAWu6/OQMrtF2IKpnZzt9WaSzWau3UFX4itnp6HhSOsbRaxinOP1t8PuT2GDGuj9p0DBeV5ZzMlXmi2YviT2Pfp/mb91w+sHkfKozscXuSXW5P2ZzECiGEcGySANZynkXG5HOjYPq3wvVQzYM8LcrdqdlZnWGZqcuo/VIKRelNdiklq0ZlaiSdVBXbtjIJ4EDN3mLLblFHl7ld4evqQsHQGUEqyyeCS7s/vmQy3+lzuqiOlVhGCCHsrXcrGRKmOkgCWBeEdjC/PTAinSWPdmfkDY1wI8+8fF76ywRh23AgA2ydfaOIEIoPfVJW8lM4UYlxK6hhK+8odk1USWUXomiNZEUSs/JvU1YtqAojqnIkprZEUPi6Fr4HSqF/0mM1f3DY9RE6qk5izXSnJYx2+pufXefigo7+6n3VlqSX5/xF9bNlsHchagurozKISnP43wIffvghCxcuJDExkQ4dOvD+++/TrVs3e4dladAbsHgQAO6/P0PP2eO5sXkgl3r6wBcFxd5qcxziS9/V6fm3g0pFnt5onnXAmpsjG7DluOWDEw1VxecMLqvGraQaqPLWmi13nVfiutaqBGKVcEBlcbyKDJXsRh6/ubzMj4a+fGEoGB9wkmalRTkNBc3Arqo8i3UBpNNMdZF9SmvUGPnNZQY5uHJX3iuAyqIWtzAvssnCDWf0VtcXVvjqFU5Am6su0E4Vz2DNvwzTmPoRvu38Mf3y3rbY3pU87nPabP78rvOH3KH5F4CR2tkcUSJQUKGlYMaY1qoEkhQ/Uij+xJwnObzl/Ak/GW7mL+MNAPRSx3CdKoEHvfbSVBtLVO4XFk9bN1NdZL3Li7iqdMzRPUgTVRI7jdezwdgFUOFLJiGqZNIVT2b6/U6Qnw8TT/dGjcIcz59poTvBs7onOEJzZg65Hr/UIwwfeBtn0/T8vP8cIT5upGRpeeDGpvx++KLFQ0V/3udDiwAXlEZdUeuzyMWV2KRshn24HReNmi6N3dlxJgtPcsjCnQakoMWF54Z147ttx5nc1Z0eHdpy24f7uJKZhxojB2cP4njsf1xYNZsPcgeS5h3J5uf6ct1M09P8s4dez7bYi7x/X0eyjBpOX8miQ7gfKkBvVHDRqFGrVWw5fpn/fbePjx64gRubBbIu5iJTfzrI5/e35bbrQ8lTNBy7lMn582e5oUUYG05msuzfBOYOa8u5lBz2nUlh1pDrUatUZOXpOZCQyr7jZ3imSTxZEf2IS1fTobEvbV/5g+w8A49GJPHS/YNQ+4ZyNjmb+7/YxUM9m9E5wp9hHxbMNf3fnIG4OWt4e0MsH20umGu7d6sgbmweyLieTfFydeJyhpaur5kG0e7eLID/u68Tb22IxcvViWkDW2NUFHLzDHi4OrHvTApdm/pz8Gwap69mcfxSBisPnGfWkOu5pXUw3+86w4gbGhHq686l9FzWxVzk9qhQdsZdZepPpnHonu0fycFzqcwd1pbZv/5nMeA0wIf338DAtg1Jz9WTnJWHq5OazbFJzFz9HwDjezYlzM+N6LOprItJ5MtxXYhs6E3vN/8GwEWjJs9g5O27O9C9eQBHLqSTkavHw0XDOxuPcyLJ1Md6zVM3MeT9bYBpjMCLabl8tS2eB26MIFOr5+drY1gOaR/KhiOXyNNb/904oXczFm8/bR6eZctzfTlzNZvV0Rd4bmBrTl3O5P4vdnNnhzB+PVgwbuSh2QOYtvwguXojW4v87m4e5MmpK+UfFzH/wbVn+rXi/zaZHkh0d9aw9LEbWbo7ASeNiif6tuCmN/622K5w+ZtaBpGjMxDq68aaaw/H3dK6AX/HXmbx+K6k5+pQFGjXyNc8dmiP5oHsPFXQp3lcOQaRF7Zz6GFgfvzxR8aOHcsnn3xC9+7dWbRoET/99BOxsbEEBweXuX2NPUZu0MO8QMtls1Ig4wK8W2jw5xa3QpzlE6HFeARCtukf1qZh/zLvzwuM6NSYp/u1NA/+G38liyYBHmjUKpKz8tCoVWw4fJFBJ+fgHWvZdy7tqVhcfRrwwopD/HrwgnnSivdGd2Lu0s3sdXvCahj/Z7ibd3UjzJ99yOLpgN3s97mVdacV2gQ5c/RKQSJUeCgca2brxvK1YRABpLPf7X8AfKEfzKv6B4uVDeUqO92esrqfWGNjWqtNv6gLD7lT9Pidcz9m37Vz0ykaOmg/JxvTY7v/uj5JsCqVp/Mm8p/SlE2uzwHQOvdrtLgww+l7JjgVPO37gX4YbVQJ9NMcYKshij6aGEozPu85pjstNccZlfuFRe2qNe1zP+NN58/5RD+UIZqduKLjQac/S91G1ADPYMhKgm6Pwb+fWS/TZigc/c36urI06gINroPo702fA1vCVVONsN63KU5ppwvKhnaEDvdB467w9+vQZiiZGal4bZkNYTfAhf2mcgEtUFBQ3TaP3AtHcL20D1XfF8HJHVJOw/H1sG8xOw3XkzZqCYOco8Ggg3N7IbwbtBtlmslGUWDH+6Z93vgkHFwCQZGmOLb/HzTpDo06w5UTENIeLh40zX/dYxKoNXDlBNmejfBACx4BoCgol2NJPBNLcOc70aSfg9jfodMD4FJomKfLx8HdH7waoEu7iPPV46ZWFnc/i0uXnJpGcp6GlsGlz5jz3a4z+Hs4M6R9WLluTf7A6rk6A79GX6Bv6wZ4uznj7qIhO0/Pn0eT6Nu6AT5WZvbIlz+u5xdju9C/SMvOwbOp/HbwAm1CfRjV2froD4qioNUb0RsVPF005u+AxLRcGvq4WgwIn5Nn4PilDNo39rU6UHzC1Wx+2neWibe0LHFaRkVRzLOVGIwKmiKzTc1bcwQPFw1TB7S2iK86pnmUYWAcPAHs3r07Xbt25YMPTB3ujUYj4eHhPPXUU7z44otlbl+jP0D5gxAX9nQ0vNex8vt+JdVyajFdDji7mxJPzbVK4oPLYOXjxbftPwciesH3o0B7rQm63V1w+OfiZQsLao1y/4+oApqRp83FZfFtkHjIsky7u9CN+JxpPx3k/471LXV3Rid3No/czy0hWlSFrsljEevZEGtqun5zRBu+WvUH613LvrcAVx7eTVBYc3BysX79i/g14iX0iUcYqV1lXnbY2JR26tPmz3nOvrjobJ+5oyRHjU1oozbNLnG+5WganVxa6X0KIeq4dqNM84RfOQFuvpB6BprfAunnwb8ZJB2FXk/DiY1wbg8Et4Ez12p5G3UGbYbp/+f2QufxkHzKNP1kbiqEdzftS5cNSUcgfitkXYbb5kFgCzDkgdoZEmNMx/YOMf0/7awpsc9Ng+R4aNAaMpNMSbtaY5pZSZ9r+oPA1dtUQZH/f5XatA+Pysw8b50kgA6cAObl5eHh4cHPP//M8OHDzcvHjRtHamoqq1evLnMfNfoDdPEgfNqneo8hhBBC1DYt+sGDv1TpLiUBdOA+gFeuXMFgMNCwoWW1ecOGDTl2zPpTkVqtFq22oP9Wenp6tcZoodCDIEIIIYTDCLJ9TFxhO4dNACti/vz5zJkzx34BzL7WdHjyT1OTa2FP7oZvhpiq5Fv0g7iCmSxoeRvcMBaOrYFDP0JgK2h/D2yeD0oFn85s2tvUH6cst82FmJ8hcpAp7vx+RGXpPB72fW19XbfHQeMMO20fK69MTXpCwrXBl9uNgsMripfpOx1cvGDDjOLralqH+03NM04upqaYooJaw5VYU1+nnOIP75gNftPUx+yjHtDoBrjzfUg9C6f+hh4T4civ0HY46LVgNIBXsOlnRq0p6CpQlKKYmqH8mlh2Lchfp1JBXpapzxgKGPXg5Gpap88tvs/8bcpLUUCbDq7X/rovbR+KYmrCyo+jcFmjwXS+1uJQrsWvdrI9RkUxvdTqgn3mLzPqTDEYjYBi6jvn7GZ5bIMeUuIhoLmpmcwruOBeaDNN5ZzcTfvPP15eFrh6QeZlU5OaLtv0/8Ix52WZ7rPG2fRznn898mNRawr2p8uGpGPg4Q9+Ta/dQ5eCOI1GyMs0NeXln6vReG2d3vR7Sq8Fn0ama5d9BTwbmI6ZcRG8Gpp+FnLTTWUADFpAZWrWdHIFvwhT0+alI9DwetC4mvbv7AFp50zXJfMSaFxMZVPPgJOb6To4e5iaO1VqyEk23eP086Zj6XJM/zfkma592nnT9c66YorL1RvCOpr+XelywCPItP5yLPiEmY7j09i0vWIw9bu8fAzcA0znrM81rXPzM10LV2/T70X/ZpAcZ2pqzb4KV46b7mP+uWVfNf171l8b6zOgOZz919RNJzHGdC7BbeBqnKnJ9L9V4N/U1ASrcTE1z4Z2gKsnTJ8TdkLL/qZ/78mnTNch+Np86/FbTdfMv6lpeWIp/ZJdfUz/zhq2g0uHTf1OL+wv+G5x9jD9vEDB90ZAc9PvqLi/rt1XTNcx28qMH70mw212/N6tx6QJuBxNwNZqAMPDwx26ClkIIYSoa6QJ2IHHAXRxcaFz585s2lRQU2Y0Gtm0aRM9evSwuo2rqys+Pj4WLyGEEEKIusahm4CnTJnCuHHj6NKlC926dWPRokVkZWXx0EMP2Ts0IYQQQohq49AJ4L333svly5eZNWsWiYmJdOzYkfXr1xd7MEQIIYQQoj5x2D6AVUH6EAghhBB1j3x/O3gNYGXl5841OhyMEEIIISol/3vbkevAJAGshIyMDADCw8PtHIkQQgghyisjIwNf37JneqqPpAm4Eoz/3969B0VVvnEAfxZkF0hhweW2KghesBBNKTcqsYkdgZi0bEYiJrUML+FkoxljN8o/kpFG/3CM8Q+BZmw0nVGcSbLxAnlDDAZURHeEECq5lLaIowbI9/dHs+fHCZSczGX3fD8zzCzv+5zj+5xnl33YdV96e+XKlSsyYsSIAf824r/h2GLm559/1sTL08zXvTFf96e1nJmvawMgnZ2dYjabxcNDmxui8BXAf8HDw0NGjx74j2w/KFrbbob5ujfm6/60ljPzdV1afeXPQZttLxEREZGGsQEkIiIi0hg2gEOUwWCQnJwcMRgMzl7KQ8F83RvzdX9ay5n5kqvjh0CIiIiINIavABIRERFpDBtAIiIiIo1hA0hERESkMWwAiYiIiDSGDeAQtGXLFhk7dqx4e3uLxWKR06dPO3tJg1q/fr08+eSTMmLECAkODpaXXnpJbDabKua5554TnU6n+lq2bJkqprm5WVJTU8XX11eCg4NlzZo10tPTo4opKyuT6dOni8FgkPHjx0tRUdF/nd6APv300375TJo0SZm/ffu2ZGVlyciRI2X48OHyyiuvSFtbm+ocrpTv2LFj++Wr0+kkKytLRFy/vkePHpUXX3xRzGaz6HQ6KS4uVs0DkE8++UTCwsLEx8dHrFarXLp0SRVz7do1ycjIED8/PzEajbJ48WK5ceOGKubs2bMyc+ZM8fb2ljFjxsiGDRv6rWX37t0yadIk8fb2ltjYWCkpKXmo+XZ3d0t2drbExsbKI488ImazWRYsWCBXrlxRnWOg+0Rubq7L5SsismjRon65JCcnq2Jcqb4ig+c80ONZp9NJXl6eEuNKNab7BBpSdu7cCb1ej4KCApw/fx6ZmZkwGo1oa2tz9tLuKSkpCYWFhaitrUVNTQ1eeOEFhIeH48aNG0rMrFmzkJmZiZaWFuWro6NDme/p6cHkyZNhtVpRXV2NkpISmEwmrF27Von56aef4Ovri1WrVqGurg6bN2+Gp6cnDhw48FDzBYCcnBzExMSo8vntt9+U+WXLlmHMmDE4fPgwKisr8dRTT+Hpp59W5l0t3/b2dlWuBw8ehIigtLQUgOvXt6SkBB9++CH27NkDEcHevXtV87m5ufD390dxcTHOnDmDOXPmIDIyErdu3VJikpOTMXXqVJw6dQrHjh3D+PHjkZ6ersx3dHQgJCQEGRkZqK2txY4dO+Dj44OtW7cqMSdOnICnpyc2bNiAuro6fPTRR/Dy8sK5c+ceWr52ux1WqxXffPMNLl68iPLycsyYMQNxcXGqc0RERGDdunWqmvd9zLtKvgCwcOFCJCcnq3K5du2aKsaV6vtPcu6ba0tLCwoKCqDT6dDQ0KDEuFKN6f6wARxiZsyYgaysLOX7O3fuwGw2Y/369U5c1f1rb2+HiOCHH35QxmbNmoWVK1fe9ZiSkhJ4eHigtbVVGcvPz4efnx/+/PNPAMD777+PmJgY1XFpaWlISkp6sAn8Azk5OZg6deqAc3a7HV5eXti9e7cyduHCBYgIysvLAbhevn+3cuVKjBs3Dr29vQDcq75/f7Ls7e1FaGgo8vLylDG73Q6DwYAdO3YAAOrq6iAi+PHHH5WY7777DjqdDr/++isA4Msvv0RAQICSLwBkZ2cjOjpa+X7+/PlITU1VrcdisWDp0qUPNMe+BmoO/u706dMQETQ1NSljERER2LRp012PcaV8Fy5ciLlz5971GFeuL/DPajx37lw8//zzqjFXrTENjm8BDyFdXV1SVVUlVqtVGfPw8BCr1Srl5eVOXNn96+joEBGRwMBA1fjXX38tJpNJJk+eLGvXrpWbN28qc+Xl5RIbGyshISHKWFJSkly/fl3Onz+vxPS9Po4YZ12fS5cuidlslqioKMnIyJDm5mYREamqqpLu7m7VWidNmiTh4eHKWl0xX4euri7Zvn27vPnmm6LT6ZRxd6uvQ2Njo7S2tqrW5u/vLxaLRVVPo9EoTzzxhBJjtVrFw8NDKioqlJiEhATR6/VKTFJSkthsNvnjjz+UmKF4DTo6OkSn04nRaFSN5+bmysiRI2XatGmSl5enekvf1fItKyuT4OBgiY6OluXLl8vVq1eVOXevb1tbm+zfv18WL17cb86dakz/N8zZC6D/+/333+XOnTuqJ0gRkZCQELl48aKTVnX/ent75d1335VnnnlGJk+erIy/9tprEhERIWazWc6ePSvZ2dlis9lkz549IiLS2to6YO6OuXvFXL9+XW7duiU+Pj7/ZWoqFotFioqKJDo6WlpaWuSzzz6TmTNnSm1trbS2toper+/3ZBkSEjJoLo65e8U4I9++iouLxW63y6JFi5Qxd6tvX471DbS2vmsPDg5WzQ8bNkwCAwNVMZGRkf3O4ZgLCAi46zVwnMMZbt++LdnZ2ZKeni5+fn7K+DvvvCPTp0+XwMBAOXnypKxdu1ZaWlpk48aNIuJa+SYnJ8u8efMkMjJSGhoa5IMPPpCUlBQpLy8XT09Pt66viMhXX30lI0aMkHnz5qnG3anGpMYGkB64rKwsqa2tlePHj6vGlyxZotyOjY2VsLAwSUxMlIaGBhk3btzDXua/lpKSotyeMmWKWCwWiYiIkF27djmtUXlYtm3bJikpKWI2m5Uxd6sv/aW7u1vmz58vACQ/P181t2rVKuX2lClTRK/Xy9KlS2X9+vUu9yfDXn31VeV2bGysTJkyRcaNGydlZWWSmJjoxJU9HAUFBZKRkSHe3t6qcXeqManxLeAhxGQyiaenZ79Pira1tUloaKiTVnV/VqxYId9++62UlpbK6NGj7xlrsVhERKS+vl5EREJDQwfM3TF3rxg/Pz+nN11Go1EmTpwo9fX1EhoaKl1dXWK321UxfWvpqvk2NTXJoUOH5K233rpnnDvV17G+ez02Q0NDpb29XTXf09Mj165deyA1d8bPAEfz19TUJAcPHlS9+jcQi8UiPT09cvnyZRFxvXz7ioqKEpPJpLr/ult9HY4dOyY2m23Qx7SIe9VY69gADiF6vV7i4uLk8OHDylhvb68cPnxY4uPjnbiywQGQFStWyN69e+XIkSP93hIYSE1NjYiIhIWFiYhIfHy8nDt3TvVD1vGk89hjjykxfa+PI2YoXJ8bN25IQ0ODhIWFSVxcnHh5eanWarPZpLm5WVmrq+ZbWFgowcHBkpqaes84d6pvZGSkhIaGqtZ2/fp1qaioUNXTbrdLVVWVEnPkyBHp7e1VmuH4+Hg5evSodHd3KzEHDx6U6OhoCQgIUGKGwjVwNH+XLl2SQ4cOyciRIwc9pqamRjw8PJS3Sl0p37/75Zdf5OrVq6r7rzvVt69t27ZJXFycTJ06ddBYd6qx5jn7UyiktnPnThgMBhQVFaGurg5LliyB0WhUfXJyKFq+fDn8/f1RVlam2i7g5s2bAID6+nqsW7cOlZWVaGxsxL59+xAVFYWEhATlHI5tQmbPno2amhocOHAAQUFBA24TsmbNGly4cAFbtmxx2rYoq1evRllZGRobG3HixAlYrVaYTCa0t7cD+GsbmPDwcBw5cgSVlZWIj49HfHy8y+YL/PWp9PDwcGRnZ6vG3aG+nZ2dqK6uRnV1NUQEGzduRHV1tfKp19zcXBiNRuzbtw9nz57F3LlzB9wGZtq0aaioqMDx48cxYcIE1TYhdrsdISEheP3111FbW4udO3fC19e335YZw4YNwxdffIELFy4gJyfnP9ky4175dnV1Yc6cORg9ejRqampUj2nHpz1PnjyJTZs2oaamBg0NDdi+fTuCgoKwYMECl8u3s7MT7733HsrLy9HY2IhDhw5h+vTpmDBhAm7fvq2cw5XqO1jODh0dHfD19UV+fn6/412txnR/2AAOQZs3b0Z4eDj0ej1mzJiBU6dOOXtJgxKRAb8KCwsBAM3NzUhISEBgYCAMBgPGjx+PNWvWqPaJA4DLly8jJSUFPj4+MJlMWL16Nbq7u1UxpaWlePzxx6HX6xEVFaX8Gw9bWloawsLCoNfrMWrUKKSlpaG+vl6Zv3XrFt5++20EBATA19cXL7/8MlpaWlTncKV8AeD777+HiMBms6nG3aG+paWlA96HFy5cCOCvrWA+/vhjhISEwGAwIDExsd91uHr1KtLT0zF8+HD4+fnhjTfeQGdnpyrmzJkzePbZZ2EwGDBq1Cjk5ub2W8uuXbswceJE6PV6xMTEYP/+/Q8138bGxrs+ph37PlZVVcFiscDf3x/e3t549NFH8fnnn6saJlfJ9+bNm5g9ezaCgoLg5eWFiIgIZGZm9vvF25XqO1jODlu3boWPjw/sdnu/412txnR/dADwn77ESERERERDCv8PIBEREZHGsAEkIiIi0hg2gEREREQawwaQiIiISGPYABIRERFpDBtAIiIiIo1hA0hERESkMWwAiYiIiDSGDSARERGRxrABJCIiItIYNoBEREREGsMGkIiIiEhj2AASERERaQwbQCIiIiKNYQNIREREpDFsAImIiIg0hg0gERERkcawASQiIiLSGDaARERERBrDBpCIiIhIY9gAEhEREWkMG0AiIiIijWEDSERERKQxbACJiIiINIYNIBEREZHGsAEkIiIi0hg2gEREREQawwaQiIiISGPYABIRERFpDBtAIiIiIo1hA0hERESkMf8DrJuqXhazxPUAAAAASUVORK5CYII="
TEST_PLOT_IMAGE = 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"
TEST_PLOT_TARGET = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9d3jeV333/7r3ntp72pK3ndiJ7dixk5CEhKQhIQkUEvIUaOGhlJa2P0rLeB46KaWL8dAmBQohBAhkkJDt2HG895QsW7L21r33/v3h65zcUgYJ1XDi87ouX5KlW9I53/v7Ped9PlNTKBQKKBQKhUKhUCguGbQLPQCFQqFQKBQKxfyiBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhX+gBXGoUCgUeeughPv/5z2MymdBoNOTzeTQaDQ6HA41Gw+rVqwkEAnR3d5PJZNDpdORyObLZLP/8z//MHXfcsdDTUFyEFAoFNBoNAI888ghPPPEE/f39hEIhotEoGo2GqakpqqurGR8fx+1243a7Wb9+PR/84AfZsmULAPl8nnw+j1arRau9OM6IL7/8Mo8++ij79u3DaDSi0+nQarWcP3+ee++9l7Vr11JSUoLL5WLFihULPdy3TS6XQ6fTveH3BgYGOHLkCBs2bKCiogKdTjft/Z5vnnrqKR566CH27dtHKBSiUCig1WoxGAwkk0kKhQI6nY7Gxkbe//7385WvfAVgQcesuPgpvj/8fj9Hjx7lqaeewu/3k0ql0Gq1RKNR2tra2LJlC1dddRUej0f+rEDdY28NJQDnGY1Gg8ViQa/Xy5tdo9FgNBqpra3liiuuwOfz4XA4GBwcJJvNotVq0Wg0aLVaUqnUQk9BcZEiFr2XX36Zhx9+mNHRUQqFAjabDYPBQCQS4bLLLuPMmTO4XC7q6urQ6XScO3eOH/7wh/j9fm6//XZ5v10spNNpRkdHyefzXH755VgsFvr6+li6dClXXHEFOp2Orq4uvF4vra2tF73IyOfzAFJc5/P5aeKvq6uLffv2cfToUYLBIMFgkPHxcaampvjwhz/Mhz70IRYvXkwul8NoNM7ruLVaLX6/n/vvv58DBw5IsScOsqlUSopBjUZDX18fjz76KI2NjXz0ox+dt7Eq3ploNBoGBgbYvXs3XV1d+Hw+uru7KS0tpbq6GpPJREdHBwMDAzz11FNs376dxsZGbrvtNurr64HpQlDx5igBOM8UCgU6OzvR6/UYjUb0ej2ZTAaDwYDL5aKzs5OzZ89yyy23YDQaSSaTGAwGCoUCmUyG4eHhhZ6C4iIlnU6zbds2fv3rX+Pz+dDr9WSzWQwGgzx0hMNhcrkcra2tWK1WUqkUiUSC8+fP88gjj9Dd3S0X1PkUF2/G4OAg586dIxaLUVdXRyaTkQehiooKEokE0WiUdDqNzWYjHA7jcrkWeNSvRWxMM8WpRqMhkUjwy1/+kp6eHs6dO0dPTw9jY2PE43EymQwOh4P6+noaGhqkp2C+rbNi3MePH+f8+fOkUiksFgvJZJJkMonT6USn05FKpbDZbGi1WiKRCOPj4xw5coSPfvSjF7UwVywcwgI+NDTEo48+yvDwMBqNhkKhwMTEBGNjY1gsFnQ6HaFQiJaWFqxWK4VCgT179jA0NMSXvvQlHA7HGz5niteiBOACMDAwgEajwWAwoNfr5c1fXl7Otm3bmJqawmAwTLP8CTexz+e76C0civknEomwb98+HnvsMXp7e9HpdJhMJtLptLQ42Ww2Tp8+TXl5OVarlXQ6TTqdRqPRkMvl6OnpYXh4mNLSUiorK7nsssuw2WwLPDMYHx8nHA5L67lGoyGbzTI4OCg3Bb1ej9VqxeFwkE6nF3rIb8rQ0BAajYba2lqy2SyHDh3i6NGjPPLII/T29hIMBgGwWCxUVFTQ3t7O8uXLaW5uZsOGDZSUlAAsiAB8+umneeqppwiFQvLvi48WiwWTySQtgMINnMvl6Ojo4MyZM7S3t8/rmN8tiDX/N4mb4u8XCgUCgQBer/dNf3cwGKSnp4f6+no8Hg96/fzLAjGfPXv20NnZicvlorq6Gp/PRzgcJhaLodPp0Gg0JJNJWltbqaqqwmKxEAwGOXjwIKFQCJvNpvbHt4ESgAuEEHfFruD6+npyuRxlZWXTFlfhJhZxPwpFMdlslv7+fn70ox/R09OD2+0GeI0INBqNmEwmWltbCYfDZLNZeW9ptVosFgtarZazZ8/yy1/+koaGhotCAOZyORwOB7lcDr1ej9PpxOVyEYvFpIXTbDZTWVlJS0vLgmxgbxWNRsOpU6eIRCKsW7eOWCzGd7/7XZ5//nnS6TR6vZ6Kigqqq6tpbGxk2bJlXH/99axcuRK4sMHPt4WjUCiQz+fp6enhb/7mb+jt7SWdTlMoFEilUjJ+2WAwAKDX66UrWPzsmTNn+PGPf8wXv/hFLBbLvIz73YR4z2eGDxQj3PCFQoFYLMbp06cZGhpi8eLF5PP5aYdB8dwbDAb6+/t58cUX2bBhA1u2bJGu1PlEq9UyMjLC3r17sdlsVFdXU1JSQiKRIJlMUlZWhsfjQavV0tnZidlsxmKxYLFYaGtrI5lM0tvbS0VFxUUTt/xO4OJdKd/FOBwOABlkn8lk0Gq1OBwOkskk+Xweq9U67YEWqJtbMZNAIEBnZye9vb2UlZWRz+fJ5XIkEgm0Wi1msxmdTkcikeA973kPiUSCWCyG0Wgkn8+TyWTIZrMYjUYKhQKVlZV0dHQQDocvitO0xWLB6/WSTqeJxWIAlJeX4/V6cblc5HI5MpkM8XicQCBAZWXlgo73jchms9Lif+zYMXbs2EEymeTRRx+luroaq9WK0Wjk6quv5pZbbuGKK654jVjKZrPSsjZfa4FGoyEWi/GlL32JQ4cOUVlZKdcukZwmgvPj8ThWq1X+nF6vR6PRkMlk+Pd//3fuuOMOVq1addHFmV7sCIuqEHEGg2Ha9RNiu1AoEI/HeeWVV/hf/+t/4XQ6cbvdRKNRxsfHZeiEeG/Ky8vl7/nlL3/J3/3d3/HRj3503sM/kskkDz74IPl8HpvNRiqVIplMotPpMBgM1NfXs3z5cnK5HKOjo7jdbvR6PaOjo6RSKcrLy/n1r39NW1sbpaWl8pqoe+zNUQJwAaioqJCnL7GIZzIZRkdHMRgMDA4O0tjYiNlsnnbaVzez4vUYGxvj+PHjZLNZMpkM8Kr1L5PJkMvlpLWmoaGBnp4emekLFzYXEbMlhKHf7+fcuXNUV1f/RhfSXDM4OIjRaGTFihVYrVZOnz6NTqfD7Xbj8/mw2WzU1NTgdruJRCIMDAzIzMCLCWEhu+WWW9Bqtfz93/89x48fx263E4/HaW9v5+tf/zqLFy9+w2fdYDBw8uRJAJntLJIz5pJ0Os2uXbuoqqqiUChgNBqnrV1CmFssFilSTCYTRqNRrl2RSIT777+fb3zjG9jt9jkd77sJIWQCgQCPPPII4+PjrFq1CrfbjU6nI5lMSmt4JBLhyJEj7N27l5UrV+L1ehkbG8NsNuP1eslms2SzWZLJJKlUilQqhdVqpbq6mkgkwq5du6isrOSWW26Z9rfnal4itl2EFZSVlckY2EQiweTkJE6nE71eL8dcX1/P6OgoRqOR0tJSYrEYZrMZrVbLf//3f3PvvfdSVVU1J2N+t6EE4AJgNpunnY6dTieJRIIf/vCHGI1GPB4Pf/VXfzXtNcIaaDKZFnr4iouMSCTC6OiojI+x2Wxks1npIikUCjJj9Pjx4yQSCQqFgkwuEqRSKRnDlc/nOXjwIK2trQsuAIeGhsjn89TX12O329HpdLhcLrZt20ZbWxtVVVWUl5fjcrlIp9PE4/EFHe9bwel0snTpUurr69m8eTOf/vSnGRoa4vnnn+fee+/l937v99iwYcNrfu7hhx/mm9/8JgaDgT/+4z/mAx/4ALlcbk4FYCAQ4Nlnn2VqaorKykopRkRZDqfTKa//xMQEZWVl6PV6pqam8Pv95PN5XC6XDC/I5XJzNtZ3I8Xxf6FQiBdeeIGf/OQnAFJgWywWed+73W7q6+vR6/VMTExgMpmkS95oNGI2m3G5XBiNRhKJBKdPnyYQCOB0Onn55ZfJ5XKUlJSwYcOGOTU6iH0tm81y4sQJ7HY7gUCAEydOoNVqyWazDA0NodVqCQQCTE1NodVqOXnyJKFQCK/XS3V1NalUinXr1rFq1Sq6uroIhULKFfwWUQJwARBxf+LBNpvNGI1G0uk02WyW0tJSafIXsX8iUP+NaoUpZgeRbCMSbnbt2sVVV10l3QoXI5FIhKmpKcxmM8lkcpp1JZfLTdtwRWgBIBff4hpuwqKg1+sZGxsjGo3O+3xmEgqFgAtWKIPBQE1NDfF4nB07dtDd3c2mTZtwOp3yvbuY42SFWHO5XHg8Hg4dOsT3v/99br/9dj75yU+yY8cOHnzwQR555BGWLFnCP/7jP7J582YAHnjgAb797W/T29vLlVdeKS2Kc43f7+fZZ59Fp9PJWLLm5maWLVvG5ZdfzsqVK3G5XIRCIY4dO8aWLVtwOp0MDAxw8OBBXn75Zfbv34/ZbKa3t1daqRVvDSFkvvnNb/L8888TDAZlsoPJZCKZTAKvHuCi0SiBQEAeAgXFHifxPur1etauXUsgEJBi6+DBg3z/+99/3QPIXFAoFAiHw9hsNrq7uwGoqakhm82STqfxeDyMjo6yceNGduzYQUNDA3AhlMputzM2NkZPTw+LFy/G4/Hg9/uJRqM4nc55Gf87GSUAFwBhZcnlclLYCbEnTN1iMy4u96DRaKZt4BcTIlZxZmzP6Ogoe/bsYeXKldTW1kqLVHEB7ItpPkJkh0Ihdu7cyV/+5V/i9XqllaOmpoZly5axdu1a2tvbyefzDA8P8+KLL8pipcFgkMbGRt773vfS3Nw858JdxL/p9Xqi0ShmsxlgWjasVqtFr9fLmnOFQuE1B5Hizw0GA4FA4KKwppWVlcmxpFIpcrkcLpeLjRs3cvr0aRKJBNlsVsbFXSzla96MqqoqNm7cyODgIPv27WPz5s184xvfIBQKsXfvXn79619z+PBhPv/5z/PCCy8wNjbGd7/7XXp7e9mwYQMf+chHpDCc66SXWCzGyZMnMRgMMqRg06ZNXHXVVTidToaGhti9ezeBQIDh4WHGxsbke6HVaqmurpb3nc/n48iRI2zcuFG5gd8mDQ0NGI1GQqGQjHv1eDxks1ncbje5XA6DwYDBYJAHP7PZPC2OvPhwlM1m5R7k9XqlAMxkMvT39/PKK6/Ie2yuyOVyBINBYrEYyWRSFhUvTngU+8SaNWvYv38/mUxGrl8ibj4UChEOhwGYmJggFospAfgWUAJwntFoNNjt9mkxWMUYjUZisdg0y1+xxeZirG8Gr5rzRcC33+/H4XBw+vRpfvKTnzAxMcF73/tempqaps1HfF4oFDh9+jSnTp0C4EMf+tCCzQUgkUiQSqVoa2vDaDQyNTVFd3c3Z86cYc+ePezatYtVq1bJzTEajcqMyFgsRiQSYcmSJTQ3N8+5RSqTyZBMJrFarWQyGYxGoxRKgLTciEVVLPwzXSTFFjSNRkMwGCSRSMzp2N8KVVVVRKNRWS9TWC5XrlzJqVOnpEVJ3E8X88IvDkjHjh3joYceIpPJ8JOf/ISHHnpIFoK/6qqr0Gg0DA8P09nZyXe/+11GR0fp7u6mra2ND3zgA1x33XUyznGuD1CpVIqhoSF5YBAicN++fQwODjI+Po7f75f1GQ8fPgxcsNCIJANRGzCTybB7925WrFhx0QrAQqHAiy++yIoVKygtLb1ossoXLVqEzWYjkUhgMplkebBsNisPgOKZFqFDQuAJxOdi/xFrQy6Xw263k0wmSafTTE5O8tBDD825AMxmswSDQbluxuNxOUZhGBGWzv3798u9ES4kjkQiEex2OyMjIySTScxmM8FgUFpFFW/OxXFnX2KIdHZB8edigZ1pMRKb28UqAItPcul0mqmpKVKpFJ2dnQwPD/Pyyy9TKBRYt24djY2NuFwu8vk8wWCQwcFBhoeH6ejooLOzE4fDwS233LIgG4RYcFKpFGazmY997GOYTCbGxsYIBoP4/X727t3Lzp07OXz4MMlkkoGBAa655hqmpqYoFAqsXr2aK664Yl7qtaXTaRKJBJlMRi74YuEsnpNALPwzMwjFOMWhRKfTEQ6HL4qaeqWlpZw9e5Z4PC5r/mUyGVatWiWfF7ER6nS6i6J0zRshrvvAwAA7duygurqavr4+RkZGMBqNHD16lDVr1jA1NSXf00ceeYTJyUkMBgN33HEH1113HTU1NfM2ZuGtMJvN8uBw4sQJfD4fY2NjUmQUiwu44DoOBoMyu1xYdo4dO3ZRhBbAhbmNjY0xNjaG3+/H5/ORSCR49tln2bhxI1dffTUtLS0XhVjt7++XMZV6vV5a+nO5HJFIRIZBzDzsvV7RcPGeiWLx2WwWu90u15JwOMzLL79MLBab0+dJGAuE5VFUxCg2EsAFr9nhw4eJRqPSgJJKpYjFYtTU1JDP56UbORwOKwH4FlECcAEQvTyLXbvCJWqxWKTZXlC8gYsab/PFm2WBZbNZEomENL339PQwOTmJRqMhGo2yb98+tFot5eXl9Pf388gjj9DR0cHGjRupr68nn88zMDDA4cOHOXHihDTrGwwGhoeHaWtrm8+pTnNNJxIJ9Ho9119//WsSb374wx/yve99j1OnTrF48WI2btzIDTfcwIkTJ4jH49x9991cc8018v2dSwtgLBYjGo1Os96lUqlpm0DxiVp8XbiEs9ksgNxUxIah0+lkTOpCU1JSIuOEhLtXo9HQ2tpKJBIhHA4Tj8cxGo2yJuDFjt1ux+1209/fj9fr5YYbbqCvr4/u7m46Ojqm9dIdHBxkamqKm2++mTvvvJOWlha56Q8NDVFRUUFZWdmcjFNYh0QB7kwmg8Vi4eTJkzJ+WTwfIm5ZkEqliMfjRCIRDAaDvPfOnz+/4Bv01NQUExMTpFIpurq66O7ulofQ/v5+kskkg4ODTE5OsmXLFlauXDln1/it0NXVxc9//nO6urrQ6XSyDp5wh6ZSKWn9B6bV+AReN/GmOARExAOK9S+bzRIIBOjv72fp0qVzNq9sNovf7weQQrU4bllYKIVYhVfDjXK5HOl0Wq5loVCIuro66Y1R/GaUAFwAqqurXxMrJ278FStWEI/Hefnll+UDUbyo1tbWzutYi+PDxIMpTozBYJDu7m727NlDU1OTfPCMRiPj4+McOnQIu92OzWajvLycUCjE7t27eemllzAYDBiNRplxJjJNo9EokUiEc+fOzZsAFGU0REKEqDxvs9leN+t61apVLF++nHA4zNe+9jW2bt067XdlMhkpVMTCPFcWm0QiIbN6i93pxYupQGT3CnEnSnkUv686nW7ax4shoUKUeBGuxmAwiNvtxmq10tXVxdDQEHV1dbhcLqxW60XtAhbvjdfrpbm5mfHxceLxOJ/73OdYtWoV+/fvZ2xsTLr1z507x3e+8x10Oh1f+9rXqKmpkUH++/bt41/+5V/41Kc+xX333Tcn443H40xNTZFMJmX8bj6fl+3ohAVWCFbxLIk4UkB6NMTcxfzmm2w2KxOKHnvsMR555BHS6TSNjY20tbWxdu1a6uvrefnll9Hr9dTU1PD444+za9cu7rrrLj7ykY/IcknzHbf8F3/xF+zYsUPWvLPZbNO6SAnXrRBJ4prPdF8XJ0mJtaH4awaDgXQ6Lb0Ihw8fnlMBmMlkZNtKYfjI5XL4fD55KIULiWDve9/7eOaZZ+TYMpkMoVCInp4eWcs0n8+TTCYvioPrOwElABcAj8cj0/dnWthqa2sZGxsDXo3jAOSCOt9V2sXpy+/3MzAwQFdXF52dnfT19ckinYlEgqGhIex2uyxEms/ncbvdlJaWyuLWLpcLl8slF5vi0gSjo6PyZJdKpTh48KCsRTVX85pZUFen0/Hyyy+ze/duGhsb+fCHPwy8tofr6tWrWblyJbt27ZLZeOI1vb29HDx4kBMnTnDixAm2bdvGbbfdxk9/+tM5mUc6nZ4W7wevZpoWhxKIoHFx6hfXQMxbq9XK3yN+V7E7eSETdex2u4xPKi0tJZFISPd6XV0dZWVlVFZW4nA4ZDbzxYoQSJdddhm/93u/x7FjxwD4yEc+wu7du9m4caN8bUdHB9/73vcIBoPcfffdVFdXc+TIER577DH279/P8PAwoVBoThOMIpEIg4ODhEIhWeOvuIRQsSsReN2xFB9GdDoddrt9zkt0FFuJxNgOHz7MPffcg8FgYHx8nFtuuYX/+3//L01NTdN+9i//8i/Zu3cvf/M3f8P111/P8PAwP/rRj9izZw9f/epXaW5ulq+daVkrjoWeTSKRCIVCAafTSWlpKRaLhcnJSeDV+pLCIiY+n9n14/XGJNZ3Ef5hs9nQ6XRkMhmcTifPPPMM995776zOZebfj8fjJBIJGhoaiEajFAoFIpEIOp1OFhUPBoOsW7eOnTt3yjaEok5uJBKR3grRhUaVGnprKAG4AAjh9HoPZHFshxAo4gE1Go3z3kZJr9eza9cuHnvsMcLhsMwy83q90gUhTqCjo6PyZG8wGGhoaECv18vg7+LCw+J0KhYd4f4Vp+vZdrfMFDEzN6Cf/OQnfOMb3+COO+7grrvummZ9nGlZA6isrKS0tJRvf/vb1NTU8P/+3/8jEolgtVrl4qPVarHb7fzJn/zJrM6lGLHoiwxsYbkrtlwW95KORCKyFpiIoylOohAfC4WCbMXk8/kWvAxOLpcjGo1Ka4EQscVxUO+ERV8IJK/Xy7XXXsuXvvQl/uqv/opAIMBjjz3G7bffjtfrJZ/PEwqFOHv2rLRs3nHHHTLBQmyMpaWlXHvttXM23kQiIV10hUKBRCIhEwaKY0ffCCEOi2ObE4mEvGfn6mBRfKgTNDQ08JnPfIZTp07xH//xH29qyauoqGB0dJT169czOjpKIpHg1KlTfOITn+ArX/mKtPrPV1muF198kQMHDsiM68cee4zh4WGuuOIKIpGItNYXZ/OLGECY3pWleD0T7l7xHolSUtFolLKyMrq6uuZ0XrlcjlgsJhOLTCYTkUhE7oMmk2laDURhbRb3nl6vlz9T7N1QpYbeGkoALgDCmldsWRLiyGg0UlZWJgVS8cna6XQuiCXmsssuY8mSJdLdKE5soVBIZnAZjUb0er38mMvlCAQCRKNRLBaLjEkRD3UikZBCBJBZbUajUdZEFFlds0Vx2Zm+vj62bdvG888/z+DgIN3d3bhcLrZv3y6LC890JYpr393dzdGjRzl9+jRHjx6loqKCTZs28corr8gYRiFmxQI1V4j7Rvy9eDwus2XFSb64xJAQSsJCotfr0el08msGg4FwOCwL+Y6OjhKJRBZcAArxEYlEMJvN0uqh1WqZnJwkGAxisVguauvfTEpLS/nwhz/MyMgI//AP/8APfvADNm7cKDs2iEz0XC7HSy+9hNPpZNOmTQwPD8vC3+Xl5XPa+i4ej0u3Kbx6eBXi4Y0oFofi/hIWwEwmI0t1zFVyxfj4OJOTk8TjcdLpNFarlVAoxPHjx7n33nsZGBggmUxiMplwOBxYrVZ5IBVu4U9+8pPy4CuKJicSCf7+7/+enp4eSkpKZBcdq9UqD+s1NTVUV1fP6nw0Gg2VlZUcPHiQzs5O2XlFWGCFEJ0ZslEc0yt+D7y6FoqfKU4uEcmGWq1Wiv+5QlxvjUYjkziE9U+I0uIYeRFKILwcog1hsdgtdgerYtBvjhKAC4QwVRcvkHChlZLJZJpmRRIP60Jkoon2QuLvi0wz8WCJBUbE14jT46FDhwB43/vex/PPP8+6detkxffz589z5ZVX4nK5eP755/n4xz/O9u3bOXLkCG63m8WLFzM6OkpjY+OstfSZ6QI5duwY3/nOdxgdHWXJkiVs3ryZSCRCb28vX/3qV9m+fTv33HPPNJfcyMgIDzzwAPv27SOVSvGBD3yAm2++mdraWsbHx9m7d6+0KhQHKIvez3OBsOCJwPDiWMZiN1Cx1VXUmhQ9gsX7F4vFpsUN5nI54vH4ggfsw4WSImazmVgshl6vlxYwkaEohMk7bcF3u918+tOf5vz58zz//PN86Utf4nOf+xwrV67E7/eTTCZZu3YtX/nKVygvL8dqtfLkk0/ys5/9jLNnz1JeXj6nc87lcvL9F/eUEBMzY0wFxTXnxP0nEg3MZjOhUEjGPs7Vmvbss89y6tQpLBaLPFiKuL6jR4/y7LPPAhfuKxELK6xH58+flzGywWBQikWz2Uw4HJYxmCtWrMDpdMpDrRAnlZWVfPKTn5y1uYhr3tXVxQsvvMCBAwdkSE3xsyneF3G4K67rCbxuTK/BYCCbzeJyubj88suJxWL09vYyMjJCOByWoRZzQfEapdVqp3lQig+swgIoXjezpqHoGyy+JtZf0d9c8cYoAbhAWK1WmakkHlQhHoxGozwZiQ1ar9cvSEsusXiKhAZRZqDYxSIKvppMJvx+PwcPHuSxxx7jjjvu4KmnnuIXv/gFFosFm81GR0cH586dY82aNTz44IOcOnWKm2++meHhYZLJJJlMhmg0is1mm5Ng/lQqJQVESUkJfX19spdkJBIBYHJykueee07GnC1atIgHH3yQHTt2EIvF2LhxI8uXL6exsZHFixdjs9l4+eWXgVcX3+LEmbksoyCsEvBqjTlxP4nFs9jVVVwQWmzexRt7sWVAZAVfDBl1xe4g0ecYLrjixQHqnVIEWiCuc21tLX/8x3/MxMQEhw4d4v7776exsZHe3l5WrVrFF7/4RTZt2iTDP9rb26msrKS3t3dOrX8wPcRAiDlhZZ1pASxOJij+vjh8ie+J4P25PFisXr0av99POp0mnU7LTHGR5BWPx6WVXFigAFljTxyoli5dKkVQWVmZFIt2u12WsxKVG0R5otm2lou1dvHixbS1tXH27Fn8fv+0to3Fh73ihD0hSsVzXfyeFNcETafTMpnC5/NhMpm47777WLVq1azOpRhRwF6sU7FYTJZxEs93sYh9I4uzEI3iPgVkouI7aT1YCJQAXCBsNhuBQGDaQ1ucmADIrC5h3VgoAShi+IRpXSQGzHQlGgwGKayWLVvG6tWr2bdvH0uWLMHtduNyuVixYgVVVVU0NjZSXV1NSUkJdrudVatWsWTJEhnwLwTjbHHgwAHZh9RoNDI4OIjJZMJqtcouE8lkEo1GI61Lo6OjHD58mH379vHLX/4Sr9fL1q1buf7662ltbQVePYUGg0F5vWYyl25JMW5xMi6O8xHZvMVB3jDdQlBsFSj+GSHyRZLJQiPuPWFJEvdGc3MzkUhEXod3Yq/sfD7Phg0b+NjHPsZ//Md/sGvXLo4cOUJjYyO///u/z3vf+95pwsrr9eL1ejGbzfI+nCuy2ew060rx+gRvXIR6pvutuLMDMOc1JleuXAkgO0yIckHFZUNMJpPsLS0EUTqdliVvRDasKAnldDoxGAxYLJZpMWpi7RMWUVGge7YQ17ixsZFFixZRVlZGMBiU4xbPa7G4Kw4NEWKw2GIr1gnhwclkMlIAlpaWsmXLFj760Y/O6f0lwhyEUPX5fLJNYvHzXrxuifkVH2yF+BZJhcIC+E6ICV5olABcIITrI5vNyhpZwLQbWyws4iFfCAEIyLg8QbFYLQ64FY3hW1pauPXWW3E4HDQ0NFBSUiIX1S1btsjfs2bNGhnjuHr16jmdw4EDB/jBD34gxy1OiKLgcXGMidFopLy8nLKyMrZv387BgwdZvXo1X/nKV6irq5NjLs4yLI61K/7eXAeJCxewEJnCpVMs8GbGB80Mvi+20Mx0r1wsAlDMU6vVkkwmZUH0pUuXcvDgQZLJ5Dsy+09sVlqtlnvuuYdTp07x6KOPYrPZuPXWW/n4xz8+zZ0nsh9NJhM2m41ly5bN6fhezwJcnIQjmHnfzGRmVyORuTlXaDSa11ivRCKKWAOMRuP/6PkUh2ERbyb+7lwm6tlsNnn4EVY9s9ksRVxxAuHM92Rm3J/43GKxEI/HZdLe+vXr51z8wfR7S9TxEy75dDr9mvEWF7gv9nZkMhmsVqs8qIjD7pvFqCouoATgAmEymeTCUdyrUcSqACxZskTW1MvlcnMaS/Z2KA4q/k1tkurq6t7we/PZYunDH/4w8XicU6dOMTk5SSQSkV1LhGsbXo0lE10OCoUCv/d7v8dXvvKVaYsRTI8rFNnRwrog+nJardY5tQAW9/MU2XyxWEx2X4BXA8WLF0SxSaVSKWkFEC7WSCQi3TAXiwvYZDJRVlZGVVUVo6OjsiB6XV0dx48fx2g04na7L7oagG/lECDeGyFya2truemmm/jkJz8pD1lGo1EKfSF2LRbLnNfKLA7SF/e2EK3w2i5GgmKLc3FoS3E82nyLdTGG2ULE086H1VkIttWrV3P8+HGOHj0qSzuJOMRsNistnOK+E4kRIsmuuPWbuI9KSkoYHR3lb//2b7nuuuvmrdlAsXVZJAo6HA4mJibkuMWY4dXWcMWJLOL31NfXMzg4OC0p5J12GFwIlABcIMRCNDMmQ1htRAZgPB5ndHQUo9H4jnRvXSx4vV4+//nPy/+nUimCwaDMIB0aGiIcDssFx+l00tjYyOWXXz7t98wMrBaL0+bNm7nvvvsoKSmRMWkGg4Gqqqo5bd8nFnOxGVitVllbS2TyiYW2OMM6lUrJTUFs6ul0murqahkLKTb6i+EkLQpsR6NRRkdH5dctFgvRaJSpqSkikcicBq3/NhTHVYpnfKbbVJTt+d73vsf27dv50z/9U+655x65FhTHQ8GrLnybzTZrSVJvRnEQ/tupQjDTGlgcB3ix3FfvBIqv49KlS9m8eTN79+5lYmKCeDyO1+uVlv9iV7Q4lIpSL+LAW1ysW2TWT01NUVtbi9vtlmvKXGfUi32uUChgt9sZGBhg6dKl2Gw2WUu2+IBRLO6ENVx8vba2lvPnz+Pz+aSYVKVgfjNKAC4QFotFCoXihdFiscjT2eLFi2lvb5exavPdBeTdjMlkoqKigoqKirf1czOziQVer5d//Md/lK+ZyxpnxRTHZKbTaWpqaliyZAmPPfYY6XRaluwQ445EIjJrWPSaFZa+qakpfud3fodYLMbAwIDcSC6GfsCJRIKpqSmZbS6Et9VqJZ1O09fXh8vlwuFwXDTPSTQa5eDBg3zta19j6dKl/O3f/q2MLxXk83lMJhOZTIYHHniAe++9l6uuukqKvOJNuNh6VlxSaa4R11r8XXhr7Q2L73/hAhbE43HVreEtMnMdsVqtlJaWyn7r4tCaSCSYmJjAZDLh9Xqpqamhp6eHeDwuM2Vniu5UKkVVVRW/+MUvWLJkCYBM6ptrxKFVHGby+Tz19fWMjo4yNTUlx1Ic11dcMUN8L5FI0NrayosvvojJZMJoNMoWmW93fb/UUAJwgSkWFMWlLFwuF319fdx00014vd6LqoG64vWZGVc3HxRbUpLJJE6nkyVLlnD//ffL0ikijlRk2RVnCQvLjrASVlZW4nQ6pQu5uL7WQqLX6wmHwwSDQRwOhxRGTqdTfk8Uil0IhIVSbJxarZauri7uu+8+Jicn6e/v5ytf+Yosel4cclAoFPjYxz5GVVUVN954owybeCPXsXDJz0dIiKjtKeY0sz90cfiKEHnFsVriNdlslmg0itlsxmazqWK9/wM2b96M0+nkz//8zzlz5gwTExPymot7Znh4mNOnT8t4YLvdTnV1NR6Ph8bGRlatWkVtbS0Gg4EbbrgBm8027zU0xTNTvB7BhQSh4tCJ4gN1sSAUiR+pVIpFixZNqzcrxKXizVECcIGYGTtTnLUl4jiOHTvGF77wBbLZLBaLhU9/+tMLNVzFRYoIai8ujHzttdfKvq3Fmb7FJYWKg6iLRUtzc7MMMhdxXBdDLI2IpQyHwzQ0NMivu91uzGazLN8xm4XD3w4zS9BoNBpaWlr4xje+wac+9SnGxsb4p3/6J/7wD/+QmpoaubmlUikeeeQR9uzZw3/913/R3Nz8htaX4rpnMD8CUNwvFouFfD6Px+ORdUrfLOHj9b7W2NhINBqV4QYXw8HinYjBYGDZsmX867/+Kw8++CCLFy9Go9HQ0dHByMgIWq2WqqoqmpqaqKqqwuv14nK5ZMayEOGipM1chqi8GeLQmc/n8fv9rxvnXlxxQqxhIm6+2EU8ODg4rS1nPB4nHo8vxLTeUSgBuECIlPViC4ywGomSK62trdjtdlmnTlR/VygEInFA1OzTarV4PB65yQqLcrGlRiSMCEQmo3htfX09R48eBV69Fxcam82GxWIhHA5Py7IUFipRh3KhkkDGxsY4dOgQ5eXluFwu2R1izZo1lJSUMDU1xZNPPslNN91ESUkJZrOZQCDA888/z4MPPsjNN9/M6tWrZX/TN7MgC0EuxK5I/pkLRAiA+P0ul0taWoVF5jch5rN8+XLOnDnzhmEUireOxWJh5cqVfOxjH5N1Bzdu3Cj75DqdTtxuNw6HA4vFclHWwxNWOhGL6HQ6qaiokAXqRTIdXDjoiRhmcd+Le89isdDf309ZWZk87IoqD4o3RwnABcLj8cgipMW1AMWGls1m8Xq9lJWVyUbg77QuB4q55436SqdSKfx+P6lUalqCUaHwar/P4qr64kQdDoepra2dtxjGt0pZWRmlpaVMTEy8xlUlsjHNZvOCZcoHAgEOHTqE2WzGbDZPc0GJunEDAwM8+uij9Pb2yjqghw8fpry8nHvvvReHwzHNxfVGCMuHEMJzmUwhRLU4RFRUVHDllVcyPj4uA/hFH1d4tdC4qBQgktdcLhdVVVWcOnUKrVaL2+2e977m7zZ0Oh3Lly+X/5/rouCzjViPhNCrrKzEbreTyWRkSafiUIlQKCS/NrPUVSaToaamRsbUK94aSgAuEJdffjkvv/wy0Wh02qLv8XikC25sbIxYLEYsFsPhcKiAVsVrKC0txel00tfXN632VXNzs0z2EAumsAKKQrJCOApLjrAAVlRUyHg2k8l0UWzU1dXVVFdX09HR8RqXtBi/2WxekHaJcMEaV11dzdjYGH6/n6GhIfr6+jAajSxfvpyqqiqSySTHjx+nr69P9i2uq6vjE5/4xLRs8zfawMTXbTYb1dXVUuzO5YZXXl7O8uXLZf3F9vZ2Pv/5z9Pd3Y3P55MxWMItLfpgGwwGzGYzFosFl8tFXV0dQ0ND/PCHP6RQKNDQ0DBv5UYUFycivACQ5WgcDgcOhwOXyyXDoURMXzQalQmRom8xXDgArVixgu7ubplcpKzMbw0lABeIa665hh/96EeyqTtcKA3T3NyM1WrFYrEwMDAgg/hra2tZv379Ao9acbEhSjeIUkFiU/3BD34gO2SIbggi7qqmpoZEIoHL5ZKt/IxGIxaLhfr6eo4fP04mkyESiWAymS6KjdrpdGKz2Ugmk68JhRDlSYQlcCFoamriD/7gD14zLmHhTyaTstVhJBLBYDBQVlb2toq7ixjOZcuWSQ+C+PpcUVdXx/r16zEYDCQSCa655hqam5tlxujbob29Hbvdjt/vp7W19aIr2aOYX4SYE/3jzWYzq1at4pOf/CSTk5Ok02lZDsbn87F27Vpqa2tlGz/Rss9kMnHPPffw6U9/Wq51ymP21lACcIGw2WzcfffdLF++nHg8LrtPlJeXA/D5z3+eYDBIMBjEYrFw2WWXzXqLIcU7n/b2dq699lrGxsYwm83cc889aDSaaYkSb5dVq1axdetWhoeH2bRp02+12c82Wq2WyspKrrzyStasWTPte0uXLiUYDFJeXn5RnfqFVRJ4TfmX3wYh9GpqaqipqZn2d+YSj8fDzTffTDgcpq2tbVoJoeI+04LiDhTCsyHE6/XXX08wGKS1tXVOe2QrLn68Xi/Lly8nGAzi9XpZvXo1JpOJG2+88bf6fXfeeScHDhygoqKCFStW0NTUNMsjfvehKbyVgk4KhUKhUCgUincNykaqUCgUCoVCcYmhBKBCoVAoFArFJYYSgAqFQqFQKBSXGEoAKhQKhUKhUFxiKAGoUCgUCoVCcYmhysAoZpWRkRH279/PwYMHWb16tSx0fe2111JdXY1er7/oukwoLi3U/ae41FHPgAKUAFT8DxAdGYoL0XZ1dfHkk09it9vR6XQ4HA6OHDlCOBzmhhtuoL29XbYmg7ntYqB459Dd3U1PTw+Tk5MEAgH6+vrweDyEQiFisRgDAwOyeHUmk5H9Tf1+P4lEAo/Hg8fjwWAwkM/n2bBhAwMDA1RUVGCxWMjlcixevJhNmzape07xrkQURNdoNJw5c4Y///M/J5fLYbFY+NCHPsT1118va8kWPwNKDF66KAGo+K0pFn7nz5/n5MmTDA4O0tTURG9vL/v378doNBKNRkkkErIHam1trVpwFNM4dOgQjz32GIODg7hcLnw+H16vl6amJioqKigUCkxNTaHT6fB4POTzeSYnJykrKyMej+NwOGRXgfHxcV555RWGhoaAC23a8vk8mzdvpq2tjbKyMrXpKd5VFHe+ePbZZ/n6179OR0cHNpuNSCRCMplk9erVUgCK+189B5c2SgAqfmvS6TQDAwOMjo5y5swZotEoXq8Xt9tNR0cHR48exWAwsH79eurq6hgbG2N8fJyKigoqKytpbm7G5XIt9DQUC4TYfLLZLFNTU4yOjhKNRqmsrESn02E2m/H7/eTzeVwuFwaDQXbG6e7uJpVKceONN7Jnzx76+/vJZDLY7XauueYaYrEYQ0ND6HQ6kskkRqORqakpTpw4wXXXXXdRbXrFm/CbbchHjx7FZDJRU1OjnhuFpPie6ejo4OTJk+h0OhYvXoxGoyGdTpPJZHjllVewWCzU1dUBr1oMFZcuSgAq3jaZTIbJyUkGBwcZGhoiEAgQCARIp9PEYjHC4TDDw8MEAgHcbjeBQICxsTHy+TyZTIapqSmGhoYYGxujrq6OJUuWzGk/U8XFTW9vL1NTUxgMBiorK6msrOTMmTNs3ryZjo4OJicnsdlsOBwOSktLqa6u5ty5cySTSaampggGgzidTrnZhUIhPB4Pk5OTNDQ0SNfw5OQk27dv57rrrlvoKb8t4vE4HR0d/PrXv6apqQmr1aoEoOI1ZLNZduzYwYkTJ1i2bBkOh4OJiQny+Txms5nDhw9js9nYtGkTtbW1yvqnUAJQ8faJRqMcPHiQkydPYrFYcDgcVFdXc/LkSQ4ePCgtLyaTSW7WZ86cYc2aNTQ1NZFKpZiamqK3t5eqqipcLhdVVVXo9ep2vBTZuXMn3d3dOJ1OampqcDqdDA0N0draSldXF4VCgY6ODpxOJ1dffTUNDQ00NDRw4MAB9u7dSy6XY8OGDVRVVXH06FF+8pOfcMMNN9Db20tTUxNut5tMJsPQ0BCJRGJB51oc+5pOpxkfHyeVSlFXV0csFkOr1WK1WjEYDKRSKXw+H9FolL1797J7927C4TBVVVU4HA5KSkoWdC5vlXQ6zdTUFNXV1Qs9lHclGo2G8fFxJicn2bNnD52dnVx77bW0tLSg1+sJhULU1NRw8OBBdu3ahV6v55prrsHhcGA0Ghd6+IoFRO24irdFPp/H7/ezd+9eMpkMer0ev98vN7NMJkNjYyOlpaUEg0GWLl2Kz+fj0KFDBAIBamtrsdlsWK1W3G43k5OTPPfcc9x2222UlZUt9PQU80gul0Ov1/Piiy9y6tQpVq9ezWWXXUYgEKC5uRm4IB7WrFnD4sWL6ejo4IUXXpCB7gMDA1x99dXodDomJyeJRqMABAIBOjs7WbJkCS0tLZw+fZpEIkFFRQWbNm1ayCmj0WjI5/MUCgXGx8d54IEHGBwc5Atf+AJHjhzBYrGwdOlSysrKGB4e5umnn6auro4NGzawd+9eurq6CIfDRKNRbr/99gWdy1shl8sxODjIL37xC/70T/8Ug8HwmteohLDfDmHBi0Qi/PSnP+X48eP4/X7sdjunT5/GarWSz+fJ5XIMDw9jMBiIxWIcPnyYeDzOlVdeSVNT0ztOBMbjcXK5HFqtFr1ePy2pUFSZANBqtRQKBeLxOFarVXmZXgclABVvi2AwyLlz5xgYGCASiRAIBDCZTDgcDqqqqvB6vSSTSbRaLc3NzUSjUfR6Pddffz0ul4tcLsfk5CThcBibzUY0GsXn85HNZhd6au9o5nITnavfLSy+er2e8vJyzGYzR44cYdu2bYRCIR566CFOnDjB4OAgd911F1u2bOHkyZP893//Ny6Xi7vvvpvBwUH0ej1Op5Ph4WHOnj1LbW2tzAJ+8MEHKS8vx2KxMDk5yfj4OLlcbkE3AxGsn8vliEajWCwWnnzySZ555hlcLhdms5mKigpcLhcdHR1YLBZSqRS5XI5IJMLq1atlHNfFTm9vL88//zxnz57l4MGDbNiw4TX3kRJ+bx8h/vL5PJ/97Gc5ffo0zc3NLFq0iFwuRzgcZnBwkNbWVrxeL4ODg5SXl6PX64nFYvz617/mF7/4BZ/5zGe44YYbyOfz8r68mEmn0/zLv/wLAwMDVFdXs3TpUqxWq9xnFi1aRDabJZfLUVZWRiqV4utf/zpf+MIXWLx48UIP/6JDCUDF2yIYDNLb20s8HmdkZIRAIMCaNWtwOp3EYjEZF1hVVcXJkydpb29n3759tLS04Ha7gQuLl9lsli45vV4vS8oo3h5Hjx7l/PnzhEIhuru7uf322zEajUxMTFAoFKTQKRQK007GxV8Tm4k4Uet0OuLxOGVlZQQCAUZGRkgmkyxevJimpqZZFx91dXWUlJRQXV3N+Pg4XV1deDweRkZG+OxnPyszg3ft2sUvf/lLbrjhBgqFAv/5n//JRz7yESKRCOfPn8fhcLB06VKOHTtGWVkZe/fuxWq18id/8ieEw2GefPJJfvWrX3HdddexdevWWZ3DW0VYLnw+H0eOHOHUqVNcffXVnD9/ntraWtLpNOFwGIfDQXl5OfF4nK6uLk6ePEkgEODb3/42V1xxBWazeUHG/2bMzCw9e/Ysv/zlL3n55ZfZsmUL//iP/8hVV13FH/3RH2GxWOTPpNNpEomEXB8Ub454ZjOZDE8//TRTU1OsXr0au90uv261WrHZbMCFkB2RbFUoFLBYLDQ0NJBMJvnud7/L1VdfjdlsvmhiAt9sHJ/5zGcIBoNks1l6enp48sknsVqtGI1GTp48STqdxmKxUF5eLi2bLS0t8zn8dxRKAF7EdHd34/V68Xq9b/o6YebXarVzbtmIRqOMjo4SiURIp9Nks1kGBweJRCKYzWYqKyupqKjA7/fjdrs5e/YsLS0tNDQ0EI1GGR8fJ5vNUlVVRSAQIJPJEA6HCQaDVFRUvK6LSPFakskk3/jGN+jv7yeRSOD3+2VijsPhwG6343Q6MRgMcjHVarXS/QjIzTqTyZBOpwGkJWBsbAyTyURPTw+jo6Po9XqqqqpYt24dX/7yl2d1LufOnZMlXqqqqrjyyiuJxWK0tLTIxI9HH32UVCrF+973PjweD36/n7vvvpvS0lL8fj8NDQ2sXLkSvV7PmTNnyGazBAIBysvL+dnPfkZ5eTk6nU6WJVooxPNZUlLCDTfcwJIlS6S1U8QnOp1ObDYbsViMnp4e/H4/ixcv5qGHHqKyslK6ti6GzXommUwGg8FAKBTi0UcfZf/+/TQ0NBAKhRgfH+c///M/6evr4y/+4i9oaGggEonQ29tLb28v11xzzYInt6RSKZ544gluueUWrFbrgo7ljRAhEJlMhiNHjlBVVSWtXgKtVovJZCKfzzM8PIzH48FqtVIoFOQzrtVqsdvtPPHEE9x+++3SIr/Q91VxRry4zwOBAP/2b/+GxWKRgk+j0ZBKpYjFYjgcDlauXCmvQT6fJ5VKEY1GyefzlJeXL+SULlqUAFxgXs+9Njw8zBNPPMGePXu44ooruPHGG2lra3vDRV+r1cpFYa6JRqOMjY1JS0VVVRVutxu/30+hUMDhcOB0OnG73ZSUlBAOh5mYmCAQCOB0OmlqapIb/UsvvUQqlSISidDX10dFRYWKA3yLPPbYYySTSSmqY7EY6XSa3t5eMpmMtPLpdDop9Iotf4Li+yafz0tXfCqVwmQykUwmSaVSZDIZhoeHKS0tndV5PPjgg5jNZsxmM11dXRw7dozOzk6y2Szr1q1jZGSEbdu2EY/Huf7667n++uv56U9/ytmzZ1mzZg0vvfSSjBt85JFH0Gg0eL1eRkdHmZqawmg00tDQQDabJRQKkUwm6evrm9U5/DZoNBpsNhstLS1kMhk++clPsmfPHiYmJigrK2NycpLdu3djt9sZGhriu9/9LlVVVRd9HJMQES+88ALhcJjVq1dTWlrKiRMn5D21b98+vvrVr/LBD36QZcuWySSRfD6/IGMW5VBSqRTd3d0MDg7y/e9/n8bGRjZv3vwbRWkqlWJwcJCJiQlWrlyJ3W6f8zFns1kmJiYYGhqirKxMHvx0Op00CIj4bCHKw+EwqVQKi8Ui51RWVsbJkye59dZbL7pYQLE2JZNJfvWrX3H06FFisRhGo1FaNzOZjCwXlUgkqKyslAcpYfXM5/M4HI6FnMpFixKAC4QQc2LzDQQC7Ny5k2PHjsk4oKamJs6cOYPH45E1nYp/VuD3+/H7/dTV1WEymeZ03EIAZrNZaSnSaDR4PB7plsrlcuTzeZLJJBqNBrPZjFarxWAwoNVqicVinD17llwuJy1Qhw4doq6uTgnAt0AqleLQoUNcc801pNNp+vv7KRQKMr4nlUpJV+5vqi83syOAeF0ikSCZTKLX6zGZTBQKBRKJBLFYbFbnkkwm8Xq9BINBJiYmiMViVFVV0dTURE1NDc899xxDQ0MsXboUt9vN4OAgmUyGDRs2yHvv+PHjpFIpaQWMRCIUCgXa29sZHh4mk8lQXl5OdXU1IyMjDA4Ozuocfls0Gg16vR6j0UhbWxs2m43t27dz4MABzp49y+TkpFwj2tvbpWt+eHiYM2fOMDg4SF1dHbfeeutCTwV49V7as2cPO3fuZHh4WGb3T0xMSFGSSCQ4dOgQsViMmpoaysrK2Lhx44JZ3MTBKBAIsG3bNhwOB01NTXR1dTE+Ps7q1atpa2ubJuxyuRwdHR2cPXsWn88nBazFYmHNmjVzPuZkMklvby/JZFJau91uN0ajUVr4dDoduVwOg8GAwWBAp9Oh1+sxGAwYjUZ0Oh0lJSV0dnYyPj5ObW3tReeBSSaTdHd3E41GWbp0KXv37sVsNhMOh4nFYuRyOTKZDLlcjomJCSorK7HZbJhMJnQ6HdlsFqfTedEfnBYKJQAXmJGREQYGBjh//jw7d+4kFotRUlLC8uXL0Wq1DA0NsXfvXtrb21m3bt1rft7n89HR0cHY2Bhut3vOBWAikSAQCJDP5zGZTFJ81NbWYrfbZa0/rVZLMpmUJ1LRFk6j0RCLxV4jJMRCOl8IF0EkEkGv1zM0NCTrZXm9Xlwu15xfy9+W3bt309TUxNq1azl48CCxWAyr1YrZbCYajcrFXa/Xv+XAbmEVFNYQIcz1ej02m41cLkc8Hp9mPZwNUqkU8Xhc/m6n00l5eTk33XQT/f39hEIhSkpKqKqqIhwO09PTQzAYpLW1FbPZTE1Njew0k0qlSKfTDA8PY7PZWL9+PY8++ijJZFImKplMpovO0gFgMBhoampiamqKXbt20dfXRzabxWAwYDKZOHbsGMPDw4RCIRKJBMFgkGg0islkklmOFwOFQoFdu3bR29uL2WzGarWSy+WIxWIEg0E8Ho+06hw9epTTp0+zYsUKPvrRjy7486bVauUzlM1m0ev1DA4OykzSpqYmeYjo6uqiv7+f48ePMzExQTKZxOPx0N3dPS8CMJFI0NfXh8VioVAoEAwG5fNqMpnkcxsOhzGZTDidToxGo7QGarVaIpEIDoeDTCYjk0QuNgGYzWblOM1mMyUlJbIgPFzwcKTTaeLxuOz4k8vlpBECmBeL7DsVJQAXiGAwyOTkJAcOHOD06dOMj4+TTCa5+uqrGRgY4MSJExw9epRoNIrf7+f++++XrtPS0lJ0Oh3RaJSOjg7OnTsnT9ZzTSaTkWZ44Tax2Wy43W45JnES1uv16PV6mcFot9tlfTPhNhZWwHg8TiaTmbNxz7SARaNRBgYGmJqaor6+nhMnTpBMJmUcY2VlJSUlJdhsNpxO55yN67fhkUce4c///M8pKSkhGAwSCoWw2WyyJILFYpGnf3g11g94XQEnrEzFItDhcEgxaTAYpGtvtjMFh4aGmJqakiKmuroap9PJsmXLeOaZZ2TIQDabZWhoiHA4TDqd5tSpU7jdbmpra2lra2Pnzp2cOXOG0dFRfD4fra2tbNmyRZa+mJycJJlMYrVaLyor88zruW7dOoaHh4lEIhw6dAidTofVauUHP/gB586dw2az0d7eztKlS6mtrcVqtRKJRBZcAIpYM+GWzGQyrFixgiVLlhCJRPB6vWQyGXnwErGpYrMWLr354vUs4iUlJdx888387Gc/46c//SmrVq2ipqaGZDLJ8ePHGR8fZ+XKlRw+fJidO3fidrtJJBLSne92u+ctfi6VSjE8PIzX65WCOp1Oo9PpcLlc2Gw2jEYjoVAIp9Mp2ycKgRQMBmW9VofDwcDAAMuXL5/39+E3IQ6isVhMhgmFw2HMZrO81iKhyOPx4HQ6SaVS8udNJhNVVVULMvZ3AkoAzhPiRhYlUl544QUee+wx4vE4q1ev5tZbb6Wzs5Ouri4OHTokrRg6nY6hoSGOHTvGiy++yB/8wR9w++23YzKZOHv2LL29vTQ2NrJlyxb8fv+czyObzZLJZDCZTKTTaUwmE42NjWQyGWn50+v1ZLNZotEoFRUVVFdXYzAYyGazZLNZEomE7NwQi8WIx+M4nc45zWxMp9PTRExPTw8vvfQSNTU1bN26lYqKCiYmJujv7+fUqVO88sorcrPdtGmTdKPMdK0uBD6fj2AwSE1NjXR/5HI5AoEAqVQKh8MhLbBivsVi8PUEoRCMIiNbvL/RaJRoNIrBYJCZgrNJLBajoqKCRCKBVqulrKxMju/QoUNs3boVvV7P/v378Xg83HzzzTID/ac//Smf+tSnqKioYO3atdTV1aHRaOjr6yOTydDf38+GDRvYtm0bo6OjtLa20tDQwPnz52d1Dm8FYVl9K/fN+9//fnQ6HT6fj3w+j9vt5vjx41x33XXcfPPN1NTUkE6n8fl8Mot+vhHzEYIuHA7zwAMP8Mgjj/Ce97xHJqokEgny+TxXXXUV+XyeU6dOkUql5DohXuPz+WY1C3imwBPxrZlMhkKhQCqVwuPxyMQo4Y6vq6vjT//0T7n88svp7+9ny5YtbN68mWQyyf79+9mzZw/BYJDa2lopvKurq6mpqWHJkiVceeWVszaHNyOVSjE6OkpDQwN+v59kMkkikZCHaOECtlgs0gImqgLk83kikQgDAwO0tLTQ2trK4OCgXC8WEmG1i0ajsuPUzp07OX78OGVlZXJtEqKw2PLZ0dFBU1MTZrNZikLxesXrowTgPBGJRNi3bx//9V//RVNTk2xJVVpaSjQa5bnnnpO19dLpNC6Xi1gsRiaTQafTUV1dTTQa5etf/zoPPPAA/f39/NVf/RX33HMPpaWl7Nq1ixdeeIGvf/3rczaHZDIpG4vb7XbZe9VsNhOPxzGZTNISJVp0LVq0iLGxMYLBIJWVldINLARZLpcjnU5LS+BcMXMRGBsbo6enh1tuuQUAm81GU1MTTU1N1NbWsm3bNp588km+853vUFJSwvr161m3bp3sZiIE7ELQ3t5OR0cHjY2N8msi4NlgMNDf34/ZbMZoNGK1WqWVSWQAz0wCAaZdf9HOr1i0zFWdML1ez9jYGHDBDer3+4nFYoyPjzMyMjJNFIyOjnL8+HHcbjejo6PccMMNvPzyy7zyyiuUlpZSVlYm4yDb2tro6+ujubmZZcuWyVipgwcPMjo6yr/927/N+lxmIq63yLh8I7LZ7GviNQuFAkajEZfLxXXXXcctt9xCMpmkv7+fEydOoNFopKtvITY4MZ+Ojg6eeOIJOjo6pLXsqaeeoqGhgUKhQCAQwOfzYTQauemmm7jxxhsZHBxkYGBAuv/NZjOdnZ2zWq5DZLuK8kYTExMcOnSIQ4cOodVq6e7u5l//9V+xWq0EAgEMBoO0DGu1Wo4ePcojjzzCF7/4RX74wx+ydetWbrrpJjweD48//jgHDhzgIx/5CNdcc828Vy8QCXiJRIKqqioymYwUTEKQC2GbzWYZHR2lrq6OVColRbCIzzYYDFitVtlze655PcuruN/FczI2NsYXvvAFtm/fTmNjIzabjcWLF6PVajl27Ji0dhuNRvnMB4NBysrK8Hg8siIGIA+CitdHCcA5IhwOEw6Hcbvd9PT08Mwzz+Dz+SgtLcVisXDrrbdiNpuJxWKMjo4yMDBAMpnEYDBIa6FY2EUzb4vFgtlsRqfTsWjRIp566il2794t0+QNBgO7du2as24HiURCnugNBgOJRAKDwcDo6KgMQE6n06TTaWw2m5xfRUWFPHWKfsF+vx+DwYDFYiESicikkblCZLKKUiC1tbVs3LgRm81GNpuVAsFqtcpT8cc//nGi0SiTk5McOXKEvXv3cvLkSdxuN5WVlSxZsoSNGzfOe4Dxpz/9aTo7O2WMn8FgwGazybgeo9FIfX29XNSL6/zBq6fsmYJbWN5ErNzw8DAajYaSkhJcLheTk5OzPpdHH32UmpoaudDrdDrq6urYtGkTW7duRavVcurUKTwejzwU7dixg3A4zJ/92Z+RSCQ4cOAAjY2NGI1GOjs72bRpExMTE9hsNiKRCFdddRUOh4POzk4mJiZYsWIF0Wh0zmODikWfsM6IORaj1+tJp9MYjUay2Syf+9zneOWVV3jve9/L7/7u76LT6Th9+jSZTAaNRiPLYAir7Xzdf8WHgGPHjk3zTPT19XHZZZdRW1vLbbfdht1ul2tgoVAgFApx4MABtFotbreblpYWDAaD9BzMdmLOTME9NTUlQ2UWL17Mjh07+Od//meMRiOlpaW0tLSwZMmSaYequ+66izvvvJO/+7u/47HHHmN4eJgNGzYQiUR4/PHHMZlMrxHt81FMWayfdrud0dFRwuEwU1NTJJNJeT1FnJ8YT7HwKy6PEgwGpRs5Go3K+3AumWkNn2kZLy0t5brrrqOiogKv10s0GmXfvn2UlZVhNpsZHR2VSW+A/FyEe6TTaemx0Gq1hEKhOZ3POxklAOcA8SCJ2kN9fX0cO3aMpUuX4vf7mZqaIhKJEI/H8fl8BAIBGcMh4uXS6bTcqEVihU6nkw+1yWQiFAoxOjoqb3a73c6OHTvmTACKBcZkMqHVaslms5jNZiKRCC6XS55Mo9GonHskEsHn82GxWAiFQphMJux2O1qtlng8Lh/8UChEPB6fM0vT3/3d3/Hss8/KPqtigfzOd74DXEhCaW5uliJIr9djNptlWRshJnK5HN3d3dJSJeJLxLURCBdYMplk/fr1fPOb35y1uZSXl/OrX/2KJUuWAEyzAIgyLh0dHbLyfzabRaPRSMFQ7PaaKQKFBW10dFQGVYsking8PutiQ8SQisLIAJ/97GfZs2cP5eXlrF69elrh8UKhwO/8zu+wdu1avvWtb7F161YmJyc5duwY1dXVtLa24vP5qKmpweVycfLkSdlH2GazyU4J8yWaMpkM+/bt49vf/jZWq5Uvf/nLss2dIJvNyuLdH/rQh2hpaeGf/umfaGtro7e3V75XIu5JHBDFmjDbLmCx7szcmMVz2dvbyze/+U36+vpkRmlZWRkVFRVcf/31JJNJpqamMJvNOJ1OfD4fqVRKHhDFwaLYStPX18cHPvCBWavXNjY2htfrlbGG4hBdV1eH0WiUh6P29nZWrVpFJBJh165dAK+xrLtcLsrLywkEAjz44IOcOHHiNeEq81WGCy4cJkKhkLTyT05OsnjxYsxm8zQ3t3CDCuukwWAgn8/LayFqhwoL5tTUFJWVlXMqAN/oOuVyOV555RWOHj0qLbChUIja2lp0Oh2JRIIjR45gtVplBQpAepEikYgshC3c+Xq9nnw+v6B1Py92lACcA0Qyhtg8hQuxuHfu2NiYXMT1ej0WiwWj0YjdbpcPiVarlUH4YqMWDzm86r4rTutvaGiY03kVzy2fz2M0Glm2bBn5fF5a/YRILRQKuFwuRkdHsdlsMmNNq9VSV1cnH9xkMilFbjqdnpNYwCuuuAKr1Uo6nSaZTBKLxQiFQrI4aklJCVqtdprwzuVyJBIJ2WaoeNMSVhgh2EUtxuLYukKhgM1mo7q6elbnIq5tKBTC4/FQWVkpLX0iYaK2tvY1G4JOp3tdq5/4nUJQ1NTUyKQi4Z5PpVLS+jybiNhXuOCmFxmL27dvBy4kS61evZqxsTHsdjvV1dX09/fT39+P0WikvLycyy67DLPZTHl5OYlEgieeeILVq1dz1VVXsWnTJr75zW8yNjZGc3MzZrMZn883Jy478UyIOKvz58/zwx/+kHQ6zebNm6UFRiQbic1Kp9MxOjrKt771Ld7znvewYcMGSktL6e3tla5hId6LYzjF12f7PXmzA9jDDz9MR0cHfX19sntHW1ubtNaImpQi3tdiseD1euXhCZg2J3HQisVi9Pb2zpoAvP/++/H5fDgcDjweD4FAgPPnz2Oz2WTJKq1Wi8fjwev1Ul1dTVlZmYyXFdf0mWee4cSJE+j1epqbm7FarYyMjMj2Y+LAK8oYRSIRPvzhD1NbWzsr83g9hAVPJNTFYjE+8pGPcPr0aXkPxuNxEokEOp1OxmanUilZi7GhoYGpqSnGx8dlzdZgMDjnHVmmpqbkgU7UMY1EItKK6ff7yWazcqxnz56VSW0VFRVEIhFKS0tJp9OykHU+n8dqtUoxKA5EovOJRqO5qDLlLyaUAJwDRFC+iKOqrq7m2muvJZfLsWHDBvnQFm/GImZFZGkJoVRcyBeYtokLi6BITABobW2ds3mJhIPiMQmLnTiViZgkIVqz2Sw2m41CoYDH4yGZTMpFR6vV4nK5SKVScqEShT1nmyuuuIK2tja5MaVSKZLJ5LTq+eJ9g1ffDzEHQG5axZtwoVCQ1+T12tnp9fo52Qw2bNgg++QKiu8hu90uY6xEbJBOp8PtdpNOp+VcxPUQcwyHw1itVhwOh4wTEjGA4nfMJhaLhaqqKiYnJykpKaG9vR2Anp4e3G4327dvp7Kykkwmw8jICMPDw9MKB4tyD1NTU6RSKZxOJ6tWrSIWi3H06FHuvPNOvF6vbFvo8XiIx+MEg8FZL2otDgjio+iSs27dOm688Ua2bdvGwYMHMRqNtLa2yus6OjrKQw89hNvtZvPmzVgsFhncLg52InlMiH+B+HuziehRbDabMZlMZLNZwuEwIyMj/Pd//zfxeJzm5mYaGhooLS3FbDaTSqWYnJyUGZgi5ENk+Nrtdvk7iztO6PV6KYxnM8SgsbGRvr4+IpEIk5OTcn0S1sm6ujr8fj+7d+/m/PnzWCwWWanAZDIRDAYxGo0cPHhwWhkSt9vND37wAykUxTMiDvsiDGMuESErgOzGtHbtWs6fPy/XLHGgFgKo+HO73S7ft4cffpjly5fLxIq5bMmZSqV45plnGB8flwftbDZLPB4HLqyVwjMmQgWEN0xUYyiOdxVxzyK8R8TSimdE7KG5XI6BgQG5tiheRQnAOUC43YS1TAQYC0vdTCtRcd0iUbl85mter3uDOP0Lc3ehUJjTTFqxQIi/JR6w8fFxGc8nhFzx3IR7obS0VFrZhCVOzFEIKNGSbLYpLy9/V7UDWrJkiYwbjcVi8j0RQs3v92M0GmV9PKPROM0tXWxVFoHjAPF4XNbVEpZN8XOz7Z7v7e2lq6uLkpISeZI3m81S+FRWVrJv3z7Gx8fR6/W43W7Ky8tlFwRRuHZkZITJyUn0ej3V1dVcc801HDhwgAMHDnDffffR2tpKPp+npKQEr9fL0NAQgUBgVgWgCLYXAlmv10vxHQgEOHXqFJ2dndOElcFg4NSpUxw+fFh2OnE4HLLUjVgrZoq84g1utl2P6XSa5557Dp/PJ+thivml02na29vRaDS0trbicrlk0fBQKCRrzgGyJqMQ6WJzFha/4nhUcbCYzTJQV199NUNDQ/T09MikCJPJJA/XHo+HdDpNd3c3/f398hpXVlayaNEinn/+eaxWq3y2hFvUbrfT1dU1LTzHbDbLkBK32z3nCSHivRDPNFxY3ywWyzQBPvOjMChotVosFguLFi0iHo9jsVikNVEcBOeCkydPcuzYMbk/CMT6ZDQapx3CRbx2KpUin88Ti8WkNQ+QZcjEmGeGLohnUTyDiteiBOAcYLVa5alL/CsuySFEnrjZhQVGiEAR3F8sBIspdtuJJACx6LhcrjkLbhdxisJdKGKXhKvFYrHI2D4xT3FKE0H5oraeODGHw2HggkgWVd0Vb06hUMBgMLBx40a2bdvGgQMH5OYqFvrJyUmqqqqmuerFBiFciSLWUSy8ooOIVqslEAjIavpi4xAic7Y4ffo0Z8+epa2tjbKyMsLhMGfPnqW9vZ3y8nIpMoS4uPLKK9m6dSs9PT0MDw/jdDqJRCLTYlBHRkZkdxFRW7O6uloW6nW5XDidzlmPM43H4xw6dEjGWYnWW8lkku3bt/PKK6/Izip79uwhHo9jt9vZtm0bAwMDfPnLX6ayslIWVhdCSrx/wr0lEF+f7QzgyclJvvvd70prqSiI7na7aWxslD1jY7EY58+fx+fzTSszFA6HZVKLOABGIpFpSW3CJSms6yJ+djbbdTU2NrJmzRp5mBGWJrGmijEId7043I6NjXHjjTcCF8IPbDabXMOExdLtdsv6psWxtHq9nvLy8t/Yu/1/itg3LBaLjA0Va4I4FBR7MmZa9RKJBOFwmMrKSrlvaLXaaWVk5oIdO3ZIsSb2OrE/igOnWI8ymQyJRELeH7FYjEQiIcNaxJxeryyXWO+EIWa+knPeiSgBOAdYrVYZW5bJZGQ8gxBQxbXbxI0sLGjFbjaxyM+s3SYojhUU7te5zGwUtaaKF710Ok11dbWMkQNkTKPIABSFUicmJsjn89TU1LzGqiHEy1yeQN8tiA1J1PkSTd+LWz2JhCLxvogNr7g1VHGpDGFtEu5HcR+J74nfW1xk9X9KSUkJ9fX1pFIpGYN59uxZufBrNBrWrl1LMpnk2LFj7N+/n1gsxh133IHX6+W5557jwIEDXHfddWzatAmtVsuuXbv49re/zTXXXENrayvHjx+XsU5nz57F4XCwbNkyampqZm0egHSBiixLYZlobW2V5ZPEnPx+Py+88AJms5mVK1fy13/914RCIc6ePSsFuHhtcZapECzwaiblbLvkOzo65MFufHycgYEB+fdGR0cpLy/nve99L6tXr5abuBBYxYkp4l4Ta5MQFmL9E5u/iGeLx+OzHr5y0003cdVVV9Hb2ytrpgaDQcbGxqSlG5Bek0QiweTkJKdPn2blypUcPHhQrq/icCp+ToTiiMOUTqejsrKSzZs3z7kAFAhrfllZGVNTUzIuUCS9iKStVCol9yJ4NWnM4XDIUBHhAp9LF7AQmCLWW6xJYi8QRhHRQUrsCTqdTsaQixhGYQUVxhOxTglBK34fIC2/iteiBOAcIm5Ko9H4rmhGLUSsVqulpKQEs9lMMBiUD11xMgQgizwLy58ImPb5fJSVlREKhaRAFJ1F5qMW1buBw4cP87WvfY3u7m4pGiKRiHSlCStAcZ0/n88nrTFCCMKrtbmElUmcoMXnwqrc19c3q1X1xSa6aNEi/H4/586dIxgMcujQIcbGxpiYmODFF19k0aJFXH/99djtdo4fP863vvUtDAYDd955J1dccQXbt29n//792O12JicnSSQSPPXUU3zqU59ifHycp59+moqKCtrb2ykUCpw+fZozZ86wevXqWZuLXq9ny5YtMnFLtJwT5TVCoZDsx1rsMszn83R1dclNrFg0Fb8n4vAnPhdhE7MtADOZDKWlpdNie8XB1el0MjIywpNPPklnZyeXX365dKXa7XYZ8ydKPQkhLPpKO51OmQQjxg/IclLF2bezhYgJXbVqlfxaKpVifHyceDwuY85E6ZDq6mrq6uqkVan4YJtIJOjp6aGvr0+u6yI2zeVy4XK5ZObtXCPWzFAoRENDg/Qy6XQ6ebhLp9OyRaQQ9YBMWInH45SVlclwnOKaoXPBbbfdxsMPP0x3d7cU0eL6CqEnQgcAKQhnPg8imUNYAsWYi6tkFIdIWSwWWWtUMR0lABVvmeI6gMIk39LSQigUkqczvV4viz2L7g5iQ2hsbCQWi9HT04PT6cThcDAyMiI3ORHMq/jNNDU1cccdd0jXrogbC4VC0golTshiMTQYDFxzzTVcccUVUnwLK6Cg2EUm/g/IU/tsiqZAIEB9fb0saSRCJ/bv38+dd97J448/zg033ABcsNJ0d3ezc+dO1q1bJzNRd+3axfvf/37OnDlDf38/DoeDiooKbrvtNqqrq3nkkUdYsmQJJSUluN1u2T7xueeem9W5iLCGYkEBSNEn4nQ1Go1MWBFhFKJvq/i+SJIQbjDxO2bGyc2Fa8vpdMqDGiA9C3q9ntLSUjQajeyFGwgE8Hq9skyH6Ns6s8yOTqejtLSUyspKwuGwtCQLK5DZbKaiomJW5/FmmEwm6uvr3/bPWSwWli9fzvLly+dgVG8d4c5Op9MkEgkqKyvp7e2VLvViF3ssFpNxisXhRSIurqqqSlqaxXoxV6xcuZIVK1Zw7NgxmRA1MDAgs8ZLSkqkJXJmprj4v2hVJzxQxaFTcKEEWyqVkq8VRa4vpvaPFxNKACreMuKUJkzw1dXVMug5nU7j9Xqlud1ut7N48WJKS0uZnJwkEolw/vx5rFarDN5va2sjHA7L06ww6yt+M2VlZdx9993TXITw2iLP4mNxySARblD8/Tdi5vdnU3BYrVYZR2a1Wlm/fj0tLS1873vfIxKJsHjxYkpKSqiqquL48eN0d3ezZMkSli1bhk6no6Ojg9tuu41nn32W2tpaNmzYQDAY5Ny5c7S2tvLcc8+h0Wg4c+YMtbW10i3W2NjI1q1bZ20ecOFwdPDgQWpra6mrq8Nms8m/F4vFZGao2LhEUoLZbJaHH2HBKC5fURzILgL/haVQ9H2dTdavX8+//du/cezYMY4cOcL58+dlf9/KykqGhoZwOBxyPOfOnWN0dBSXy4Xb7cbtdnP27FlsNpu0Vor1YmJigkQigcViIZFIYLPZMJlMRKNROjs7GRsbo7Kyclbn826kOOzHZDIxNDTEuXPnZMa4cJMKb40ocF/cAcRisdDV1UUsFpMiX7jm53rsK1eupL29XVqXx8fHOXXqFF1dXYyPjxOJROQBSdxD4jkojn/X6XSybJpY14TF02q14na7ZaeqDRs2zOm83qkoAah4W4iM0UQiQVNTEyUlJRw+fFgG1wvrYCQSIRQK0djYiNvtprS0lGAwKPvVVlZWYrPZCAQCssSCMPkrfjMajeZ/lAAgFtL5Kl77eqxevZr7779fxjM6HA6Ghob4+c9/js/nY3BwkPXr13P69GnC4TAbNmxg8eLF/OQnP2HDhg3odDrC4TC1tbWsWLECnU7HwMAAjY2NnD59moMHD3LnnXfymc98hubmZhwOh4wznVmM+X+K3W5n0aJFHD58mEOHDmG1WqV4FZ1UZpYYKv5cJIYJC0xxVqRI9BJWXLhQOF1YO2YTvV4vy7usX79eJmiIzPEzZ87Q2tpKZ2enLCk0MTFBe3s7/f39VFdXEwwGp7n1RDC+KEIsRIkIAchmszidTkpKSmZ1Lu9Wiisw6HQ6jh07Ri6Xo6amBqPRKNdRo9Eok3LEwVy8H6Igd39/P5dddhmxWAyr1TovBdKFWxYuPDcul4va2lquvvpqaRWfWf3i9dYpYbks/lfsBhZWcyFwFa9FXRXFW6a4zlk+n8fj8RCLxXA6nbJ8h2jELYLexaler9fjdDqli8LlcklzfiwWkzGSs5llqri4cTgcr3GniTjGYDBIXV0d4XCYEydOUFNTI/vLZjIZIpEInZ2d0nUoistGo1HWrVvHiy++SGlpKalUSmawzqXA0Ol0tLW1YbVaiUQiBINBmXDQ398vN6OZPa+LM1CLY2CLSzvp9XqSySQ9PT14PB5MJpN0c1122WW0tbXN6lwMBoO05gmERbKmpga3201NTQ0mk0kmIni9Xtra2mRrxeKfKbZqvp6FWiQfzWc/3XcDIk7z6NGjtLW1TSvvJBI/hMAWvYMNBoMsUSZiU4UrHub/QFgcJz+XBagVr48SgIq3THE2sjjFTU5O4vV6ZQaZqM7udDplYddsNitjioQFMR6P43a7KSsrY2BgQJYAUJvApU1xRnJdXR3xeJyJiQkaGxtJJBKcP3+eqqoqKisrZZ2wwcFBdDqdrPMHF1yyS5cuZXJyEr/fLy1lQpTMBV6vF6/XSzabxefzMTo6SjQalTXIiouFF7vuhXWs2M1VnEwlyq74/X5ZlgUuxLLNV8apGIvH4wGYFlMl3NDvpjqbFzPFxdkzmQwlJSVUV1fLLOXiwvyizFggEJD3l4i/LC8vl3GZxX11FZcOSgAq3jKi7IE4eQoxJ+pQiQ1Or9dTV1cnFxnhFs5kMsRiMZLJJENDQ5SVlbFo0SI6Ojpk8oLKAr70ECVNstmsLPYqXESi1l0kEuHs2bMMDg7i8XjweDy0trZSX18v+2GLckRHjhyhubkZi8Ui23MVW6Dm2s2l1+upqKiY18QGxaVHLpcjFovxoQ99iOrqas6ePUs2m5X1OzUajcy6Ft19RFKeaMfpcDhkHVHR9lFx6aAEoOItI9y3YlMWrrp8Po/X65UxPqJe4PDwMLW1tdMq/bvdbqxWqxR77e3tPPPMM0xNTXHixAna2tpYunTpQk9VMY8Iq5zP5+PMmTMEg0EqKirw+XwEg0EqKytlTGkmk+HMmTPs2bMHi8XCZZddxtatW9m3bx8//vGP0Wg0uN1urr76avr6+sjlcrI0zHwJQIViLhFWY5EJ/PGPf/x1y88I659IMBJJIsKCmMlksNvtbN++nUAggMFgUFUYLjGUAFS8ZRYtWsSaNWuYmppCr9fz13/919x///0cPnx4Wls6URLmwIEDtLS0sH79evr7+2VzchGUe/XVV+PxeHj44YdxOp2sWbNmTmqBKd4Z2O12VqxYwYc+9CFpuYvFYnz605+WXTVaWlqoqanh6aefZu/evdxwww309/ezefNmMpkMPp8Pp9NJIpGgpqaGxYsXc/XVV1NXVzcnhZMVivmmqqqK5cuXs23bNurr69+w/adYk98oWcxgMLBhwwbWrFlDNpvliiuuoLq6ei6HrrjI0BSU01+hUCgUCoXikkI1yFMoFAqFQqG4xFACUKFQKBQKheISQwlAhUKhUCgUiksMJQAVCoVCoVAoLjGUAFQoFAqFQqG4xFBlYBaQ3t5evvjFL/Lss89iNpuJxWLodDoaGxvx+XxYrVbsdjvRaJTKykp+8YtfqH6Zincdxd05MpkMgUAAo9HIxMQEDocDu91OLBajo6ODkydPyjZlY2NjjI2Nce7cOaqrq3nPe97D5s2bCYfDsrB4WVmZbJ+2kH2P3010dnZy4MAB8vk8NpuNiYkJvv/972MymbBarZw/f5729nZuv/12qqqqCIVCXHnllSxatGihhz6Nf/7nf8bn85FKpbDZbCxZsoRbbrmFbDZLOp3GaDQyOTnJ008/zZkzZ9Dr9bJ26Wc/+9mFHv67jtfr0nP8+HHuu+8+NBoNK1euJBKJYDAYuOaaa7juuuum3VNv1jdY8fooAbiAnDt3jkwmQ3l5uRSAWq2WZDKJVqvFbDbL9lIlJSVMTk4uuACcWUy3q6uLhx9+mHA4zKJFi1i9ejWLFi3C4XBMqz+VTqfJZrOcP3+eHTt2cPjwYdatW8enP/3phZqK4iJBLNhTU1McOXKE3bt387//9/+mrq5OFh53OBxcfvnlLFmyBK1WSyKRoLq6Go/HQy6Xw2w243Q6ATAajdTX15PP5zl8+DCnT5/mqquuYsWKFQs5zXc8hUKBf//3f2diYgKv10tZWRlGo5HGxka+9KUv8fOf/5ynn36aqqoq1qxZQ3l5OTqdjmg0yo9//GN0Oh1f/vKXL4oNOhKJcOrUKSorK/F4PBQKBbq6uujr6wMu1NATPXUzmQwVFRUYDAaSySRHjx6d05aClyrieo6NjXHo0CF6enoYHR2lrq4Or9eL2WxGp9Phdrvl95qbm7n66qtpampS78dvgRKAC8jw8DA+n49CoYDVasVgMBCNRnE6nZhMJlmZXfTfnZycpL29fUHHrNFoyOVyjI6OymK8oVAIk8lENBplZGSEiooK3G43VVVV2O12wuEw4+PjBINBBgcHOXfuHMlkkqeeekqK2ptvvpna2lqMRuOCzk+xMGSzWXp6eti/fz8Gg4EXX3yRO++8E4vFQiKRIJ/Po9frcTqdGAwGHA4HHo8Hi8VCLpeTBxMhBs1mMwcPHuTs2bMEAgE6OjqwWCy0trYu9FTfkaRSKZ544glOnz7NypUrKS0txePxyJ60ixYt4n3vex82m40rrriCtrY2dDodsVgMr9dLOp3m9OnTPPHEE9x8880L/pyPjY2RzWbRaDQYDAby+Tz5fF52jBHjy2azsqByoVCQB3TR8lIxexw9epSBgQEmJycZHBykUChQXV1NeXk5gUCA8vJy0uk0brdbvg9jY2N873vfY926ddTW1rJq1Sr1vrwN1JVaQIaGhojFYhiNRsxms+yzKz4XDeELhQLRaJTe3l42b968YOONRCL09/fT09PD4OAgL7zwAj6fj8bGRux2O6lUip6eHnp6ejCbzVRWVuJwOAgGg0xOTuL3+4nH4xiNRqqqqhgZGeHFF1/EYDCQTqdpaWmhpaWF9vZ29RBfIghLyvnz5zlx4gQ+n4+lS5fS3d3N0aNHWbt2LSaTiUwmQzabBZCbr8ViIZ/Pk8lkZA9TvV6PwWAgHo+zb98+9Ho9brebkZER2T9Y8fZIp9MMDAzwyiuvYLFY5PqUSCTQ6/XodDri8TiLFi2itLSUxsZGeZgVLcjy+Tw+n4/nn3+euro6li5d+rrty+aLcDgs26EJj4tWq8VgMEhRCMgeuYlEglwuJz0fSgDOHrlcjnPnzrF7926CwSAWiwWbzYbdbqe8vJxMJoPBYKC2tpZYLIbT6ZQHv7GxMfr7+zl//jyDg4NkMhlWrFiBzWZb6Gm9I1B38AIyPj6O0WjE5XJhNpsJBAJks1lisZi86V0uFxqNhlQqxdmzZxdsrFNTU5w8eZJdu3Zx+PBh0uk0BoOByy67TC6EJpOJRCJBMpkkHo8zNDREoVAgl8tJK43L5aK0tBS73Y7VamVsbIzR0VFeeOEFXnnlFS6//HLe//73KxF4iXHgwAGOHz8urUo2m43t27dTUVFBXV0dJpOJbDZLPp8nlUpJa5+I+xGHJWEZOHfuHBMTEyxZsoRcLkcsFiMSiRCNRrHb7Qs82/8Z2WyWbDaLVqudF0taOBxm7969GI1Gli1bht/vJ5VKkUqlZDxmMBjEZDJRUlJCOByWAl3EzQE0NzczMjLC9u3bqaqqwmw2L5jbLpPJoNVq8fl8ZLNZHA6HFKpizMKqXCgUCIfDhMNhqqqq0Gg0pNPpN2yxpnjrFAoF0uk027dv58yZMyxatIiGhgZ0Op3cR+LxOKWlpdIaKyy1BoOBmpoaNm3aRDab5cyZMzzzzDNUVVVhtVqVS/gtoHbYBSSfz1NaWorT6SSVSgEQj8eJxWJ4PB4cDgdutxubzUYoFMLn8y3YWJ955hkef/xxotEoLS0tmM1m9Hq9fMjEydjhcAAXTnWBQEAKRYPBgMViwWq1YjKZCAaDxGIxLBYLbW1tlJeXMzY2xq5duxgcHOTLX/4ytbW1CzZfxfwg7p++vj4mJiZoampCq9Wi0+lIJBL85Cc/4UMf+hD19fXodDpyuRwmk4lCoSDFXz6fl9abTCZDR0cHv/71r6mvrycYDKLRaPB6vWSzWY4dO8amTZsWcsqSmckvwgr1ZhtXoVAgFAoRDAbR6/U0NDTM+Th9Ph/PPvssN954I+973/sYHR2VAjybzZLL5aSFdmJigsrKSiKRCJlMhnQ6LYVTJBLhve99L8ePHycYDFJaWrpgruBIJEJZWRldXV1ks1nKy8upq6sjGAzK1xRbN8+dO8fRo0e59dZbcTqdhEIhbDYbWq0qpPE/QYQQjI6OkslkSKVSdHd3U1paitVqRavVYrVacTgcDA4O4nK50Ol0MlFHHAiDwSDV1dUMDQ0RCoVIpVJv2CNZ8Srq7l1ADAYDJpMJh8NBaWkpXq8Xu93Ovffei8/nk5lobrebsrKyBXOZxONxDh48SCaTYfny5axevRq9Xk8mk5HxMULAmkwmeZIWgeJut1susF6vl0KhgNPpxOVy4XK5aGpqIpfLUV5eTnV1NYODg/znf/7ngsxVMf8UCgVKSkqorKxEq9UyOjpKa2srDQ0NnDp1in/5l3/h8OHD8vXCCgDIUAmLxUI8HufAgQP87Gc/w2q1Eo/HOXXqFGNjYySTSYaHhzl27NgCzfKNSSQS7Nq1i3PnzhGJRMhms1LcFgtdIRg9Hg9arZbh4eF5GV8mk8Hn85FMJgmFQmQyGaampojFYtI9ajAY0Ov1VFRUoNFo0Gg08jUOh0Medtva2qirq2N8fJxQKDQv4389QqEQXq8Xt9tNPp8nmUwCSEEqQgnEobWiooLW1lZsNhv5fJ6xsTF5Dyr+Z+RyObq7uzGZTExOTkp3u9FopKSkBK/XSyQSobGxEY/HQyKRkM9IOp0mnU7j8/mIRCJMTk7S19dHOBxe6Gm9I1ACcAERAe6RSAStVkuhUMBms/GJT3xCnp4TiQQ+n49AILBgLtF///d/Z2BgAI1GQywWo6+vj2AwSCgUknFZwh0i4rGERVCn08mYoXA4TCQSIZfLodFocLlcVFRUoNVqpRVUuIkPHz7MkSNHFmS+b0Q8HleL/hywe/duQqEQdrudRCLByMgIU1NTnD59msWLF5PNZjl8+DDd3d1YLBZSqZQMiwCw2Wx0d3fzxBNPsG/fPm666Say2SypVIq77rpLxphms1n8fj8DAwMLOl8h6rLZLGNjY/T09FBVVUWhUOD8+fMcOHCA7u5uACmm4EIsnoh1FJaT+aC+vp4vfOELVFdXy+vodDoxGo1YLBaqqqrweDzo9XpZUsXtdlNZWUlZWZlM2CktLeXgwYOcOnWKpqYmysrK5mX8MykUCkxMTBCJREilUoyMjNDT08PExATJZFJeV5F8dPbsWcLhMJdddhk2mw2z2czk5KQU5orfnmw2i8/nk/vHsWPHiMViBAIBQqGQTPiqrq7GbDbjcDhoaGiY5mnq7e3llVdeIRQKUVZWRjAYJB6PL+S03jEoF/ACUllZyYEDBwiFQtTX15PJZIjH43i9XrRaLZlMhkgkQjKZJJPJLFgAu7A0CNdbLpfD5XJNC8wvFqfCbC/M9AKR5CLiagCSySThcJiysjISiQSpVErG4PT29nLZZZfN40xfn0KhwD/8wz+wbds2/uzP/oyNGzfidrtf87psNitdeQaDYV7dQ+l0mvHxcSYnJ4nFYsTjcZLJJKlUappwsNlsrFixArfbjd/vJxKJoNfr8Xq9OJ1OHA4H6XR6XoOod+zYgc/no7a2Fp1Ox+DgINXV1eRyOdLpNHa7nRMnTmA0Gqmrq5OHBb1ej8lkYmhoiOPHjzMxMYHBYODo0aOUlpbS3d3NwMAAHR0dLF26lEKhQGdnJ3v37qW+vn7e5jcTIQDT6TSjo6Ns374du93OnXfeSXd3N/l8nlAoxKlTp3C5XJSXl8u5ini0aDQ6L+7TfD5PPB5namqK8vJyjEajrMtosVgwGAzyfRLxc4VCQXoChNDN5/PY7XZMJhOlpaVy7VioQ60QHF6vF4PBgNFoxO/3U15eTi6Xk5m+2WyWgYEBLBYLq1evZmBgAK1WSyQSeUcJwO7ubs6cOYPX66W5uZnKysrXvCafz087cMwHmUyGyclJUqkU2WyWqakpmYWdSqWYmpqiqqqKfD5PNpslFAqh1+sJBALkcjksFgulpaXk83l5oJiamiISiczbHN7JKAG4gIjaUn6/n0QiQTQaJZvN4na70ev1ciFKJpPodDrKy8sXZJzCPF8oFKSoMBqNMrlDoNVqpSAEpn0PkMKvUCiQyWTIZDIy5mZgYIBQKCSLXw8NDdHV1TUv83sjRB2whx56iF/84heYzWb+67/+i6GhIdauXYvD4ZBucDEvUVjW7XbT2Ng4J3UbDx8+zM9+9jOZ8BAIBPD7/cRiMfl/IbTFP4FWq8Vut8s4GhGIn0ql0Ol0WK1WqqurCYVCbN26leuuuw6j0UhfXx8lJSWsWrVKnr5ng1OnTslkJ5PJhFarxev1kslkqK6ulq8bHBzk2LFjaDQafv/3fx+44K7TarX86le/IhaLATA6Oko4HJYlhc6cOUNvby9lZWVUVFTg8Xjo6emZtfG/XYQbV1zzwcFB8vk83d3d6HQ66e4KBoP09fWh1Wpxu93Sam40GtHr9WSz2XlJQhBeCIvFwsmTJ6mrq2NqakomeRQKBeLxuIxJjEQiOJ1OmaAj/lmtVoLBIAaDgY0bN2I0GhdUAA4NDTE2Nobb7aa9vV0eeJqbm2XtSSFmhRuyrq6O06dPy/IjF5s34PVqE+bzeb7//e/z8MMP43Q6KSsrw26309zczMc+9jGsVqt8bfGBdb7qHIoErbGxMe677z5OnTpFZ2cnixYtYvHixaRSKTkuIdQTiYR8TzKZDCdPnpRj1uv1MgZQ8ZtRAnABETFx+XxeBiCLhdRut8vFXhRerqmpmfcxRqNRJiYmqK2tRa/Xk0wmmZiYwG63S+uMwWCQMRnF8UozBSAgMzWFZSCRSKDRaBgbG8NsNuPxeDAajRiNRvlgLxSiBE8qlSKRSGC1Wl9zQhWbmBCymUxGCiyfzzcnAvDBBx/kV7/6lUx6ENYXrVYr3yMRG6fT6WSyjgjcTyQSANJSI6xRos5ZIBDA5/MxMTHB8ePHMZvN+P1+9Ho9a9as4Utf+tKszeX8+fMYDAasVitWq5VIJCLnEo/H5ZhcLheRSISenh527drFhg0b0Ol07Nq1i46ODtxuNyUlJVitVkKhEBaLhampKVkuQmTVm81m+vv7+fGPf8w999wza/N4K4hNVRykJicnCQQCXHfddYRCIU6ePCnDIcrKytBqtUxOTsoDYCaTQa/XYzabyWQy8hkT4RZzQSqVkuVc4EKtNp/PR3t7u8zGjEajWCwWmRCSSqWk271QKGA2m6UVsKenh5qaGiKRiKx+sBAUCz4RK+r3+2lra5MZpfX19dhsNs6dO8fSpUvRarWUlpbi9/sXxPo3U5TN7HwhPiYSCQYHBzlw4ADnz59nz549BAIBXC4XgUCAnp4e9u3bx8mTJ7nxxht5z3veg8PhQKPRsGPHDo4cOUJJSQn33XffnM8pk8kwMTGByWRi0aJF+Hw+zGazdL/ncjlZZ1YkhkUiEex2O2azGa1WS0VFBdFoVF6fRCJBJpOZ87G/G1ACcAGpq6ujpKSEXC5HfX09U1NTjI6OAq9m0wprgcFgmJeMv5kEg0GZ1CE2Hr/fTzKZlIu32NReT/DNRGQ5FscyxeNxJiYmaGxslJl1VqtVVuVfCISY1el0NDU1yWKxwjWv1+ux2WwEg0G0Wi0lJSUyISYajdLT00MsFmPx4sWzPrazZ88yNjZGRUUFlZWV0vKYzWalyBGuaJHJKDYHYaEtLpxcKBRkgpFwXTscDvx+v6ylp9VqSaVShMPhWRWAXq9XXjdRg00ICJERb7PZZAFov9/Pc889x5VXXkkqlWLPnj1SJApLk8PhkLXdRFxpcXiBcL0uFLlcjomJCQ4fPszLL7/MjTfeSDKZ5PDhwzgcDkpKSrDZbDLj2WKxUFJSQjQaRaPRYLVaZbhINBrF5XLN2VhFWapoNEpNTY1sxafRaOT30uk0ZWVlDA4OyvtJBOeL58hgMJBKpRgYGJhW6moh0Gg0XHnllVRWVrJ06VK2bdvG4OAg0WhUlhs6c+aMfA7y+TxGoxGDwcDatWuprq6W2agXE+l0mhMnTtDZ2Ul/fz/Hjx+XBa8rKirkPKxWKz6fj6effprJyUlpCU2lUuzfv5/Ozk5aW1vnRQCm02kmJibweDxYrVbS6TR+v59z587hcDiwWq3ykCOse8lkkmg0ilarnVYyTax1xSEvijdHCcAFpLy8XG60JpNJxvvAhY0xkUhgs9nIZrNYLBbq6urmfYzipC4yLUVv4tHRUerr6+WCLx5SIQaLaza9XmmL4jpmIqnEZDLJhchsNhONRudtnsWCVJQjEG2gRFcWYQ08deoUjY2NrF+/nlgsRqFQoK6ujkQiQSgU4tixY+zZswebzca9994762NtaGigvLycNWvWsGjRIvx+P4cOHZJJOaKIragXB8gSIzMFYPEmXFwEVxRjFULSZDKRTCZnPRN9zZo19Pb2EggEZKxrOBxGp9Nhs9nk5+L6p9NphoaG6O3tJRgMMj4+TkVFhXSLio1icnKShoYG9u3bRzgcZmpqSsY5VlVVzUlB9d/kNhMxZcFgkIGBAfr6+hgeHqa3t1fW1uzt7aW3txeNRoPFYqGlpUW2hSwUCjL2zGg0kk6n5fM5V4hrHg6HqampIZlM0tTUhF6vJxaLkUgk5P3h8/lkOEQ8HpciMRKJUFpayvj4OMlkUj5HxeEi883mzZvZvHkziUSCI0eO0NzcjNPpxG63k8vlqKmpkYk55eXlsgvF2rVrF2zMgFxvxbUVllWNRkNXVxcPPvgge/fuBcBut0sDg91uZ3h4mMrKSmpqanA4HHR3d3Py5Ek6OjrQaDREo1G8Xq9MtJorD0Yxovd3eXm5TIIMBoOcPXsWl8tFc3MzFotFPlciSScajRIMBpmYmGBkZETum8Jw8k6Kz1xIlABcQCwWizxxChO2CGQVpVZKSkpkuYSFqG4eiUSIRCLSNSs2m507d5JMJlm2bJms1m6z2WTdLBHkHYvFsFqt0g0pNgiRfJBOp+nu7iYcDmOz2aisrCQUCjEwMDDrp7hiF5zIZhSCJhqNyjgrn8/H5OSkdIP29vZy5ZVXcuTIEdLpNHv37iWTyWA2m2loaCCZTNLZ2cmhQ4d45ZVXGBgYYPHixdx0002zOn7BokWL6O/vZ9WqVZw7d44TJ04QDoen1cUDpAVGuN1nxmWJE7NAJO3EYjHZd1Ov12M0GmXHhNkWgDabjY0bN3Ls2DHZZaazs5Mrr7ySsrIyueCL0//ExARVVVU8+uijDA8P09zcLGPPRNeJaDRKbW0tLS0t/PznP2d0dJTq6mr0ej2LFy/md3/3d2d1DoLfFDMVDAbx+/2cOnWKXC7H7bffzh/90R+xZ88etm7dSiwW48c//rF830SBYrvdztmzZ2ULLBEaUlwIe64Q95LJZGLnzp20tLSwaNEipqampCvU7XbLQtsGg4HR0VGcTuc0S79we4sCv8Itv9B0d3cTj8dpampi8eLFMqbXbDbLQ6DBYGBsbIyXXnqJNWvWzHvtv3w+TzAYJJvNTstSFrG/oij1t771LYaGhmRZMRE2cfDgQW666SZ5eI/FYhgMBhlWZDKZiEQiVFZWyoYE3d3dPP3003NygC1GlBQqLy+XBwnhxRDvg8fjAcDv92O1WqcVgxYxguXl5YyMjNDc3CxDcBS/GSUAF5iWlhbC4bCMMdu0aRMajYavfOUrdHd3c/bsWRobG1mxYsWCFB39/ve/T6FQIBgMSuuMED/RaFTGK4oFRVgCRWxccZAxIEtHmM1m2R/UZDKxatUqbDYbHR0ddHV1EYvFZj3mUYghn8/HiRMnGB4eZuvWrdPKPpw7dw6TyUQ8HicSiXDNNdfwsY99DIAPf/jDnDhxAr1ez6FDh9i9ezcej4fx8XEZB1hVVcXnPvc5br/99jmzzCxatIgHHniAo0ePTsvCFq5aMVcRA1hsmQWmxcSJzGzxOuE2FhufeE0oFCIWi/GJT3xi1ucjWgBOTk7y3HPP8cwzz9DV1YXNZpObMEBpaSmbNm3i0KFDuN1urrzySgYGBli5ciW9vb3E43FKSkpYs2YNer1ebo7r1q3jnnvu4b3vfS9VVVWzPv63iiiHdOjQIeLxOCaTiYmJCdauXYvL5eKjH/0o8Xic8vJySkpKMBqNDA4OUl5eLi0jwk0mLEA+n29OPQOJRIKxsTFGRkZIJpMyg1fEnjqdTkpLS5mYmCAWi1FRUUEsFsPtdjM5OYnZbKaqqorjx49TU1NDd3f3tA4bC01nZydjY2Po9XrGx8dltikwrayNXq/n/PnzjI+Pz/s9NDIywg033MDy5cvJ5XLS9X/q1CkcDgculwuPx0MoFGLlypW0tbVJd7AQVX6/n5aWFnbu3Mm5c+eoq6tj1apV9Pb2MjY2RlNTk4yxE/Gb27Ztm3MBKFzAixcvZmJigkKhQHNzs2wdKMI3xEGi2GhSHOPs8Xjo7u6WXhBxf6luIG+OEoALTFNTExMTE5w5c4Zjx47x//1//x8AP/rRj+jo6ECr1dLW1kZbW9uCjO9rX/samUyGF198kePHj9PX18fY2BhVVVW4XC4GBgbQ6XRUVFTI2KR0Oi2D1AWifZfINNXpdExNTeHz+SgtLaWlpYWxsTEymQxtbW3ccsstXH755bM6FyGOJiYm0Ol0rF27Fo/Hw8GDBzl58iSdnZ28//3vZ+XKldKSWRx3+dBDD3HjjTfS19eHw+FAp9MRCARwOBykUine85738Nd//ddzXq7n1ltv5fHHH+f5558HLggLseAJV6/I/hXJH+L7QqAXt06D11qvRIatEH8NDQ08+uij0zJzZ5uysjLuuece7r77bk6cOMGPf/xjWltbGRkZkSWRhJtUWGI6OjqIx+Ok02mSySSJRIL29nbOnz/P4cOHWbduHV/84hdpaWmZs3G/GeLav/LKKzz99NN88pOf5Ktf/aos2VNTU8OWLVtoa2tDr9fT2NiIVqslGAzK5Is1a9YQCoVwOp14vV7Zikyj0UiX6lxtdOFwmPHxccrKylixYgVNTU10dnaSTCZxuVwUCgV6enpk3OX4+DhXXXWVbOtnMBg4d+4cbreboaEhli1bhtfrlRathcwEBujv7weQvczFdRRjEnGyIgZ1ZGRk3gXgP/3TP1FSUkIymZRei6qqKqqrqykpKWFkZISKigqmpqYIBoOcPHlSlntpbW3FaDSSTCaJxWK4XC4Zd1tRUcH+/ftJp9N4vV4ZTydc+/MVJyviwF966SWuv/56tFotoVCI0tJSSktLCYVC1NTUMDExQSKRmNZCUKx5S5cuZefOnWg0GrlOKH4zSgAuMOFwGJ/Ph8Ph4Pbbb+fMmTMUCgVeeuklLBYLHo+HSCTC0NAQq1evnvfxCSvWHXfcwW233SZdu/F4nC9+8Yvs379fVmcXokgE2wPyQRQFosVGHYvF6O3tJRQKce211/Lnf/7nVFdXy/gm4eaaTURJHYfDwfDwMA888AC//vWv+cQnPsF3vvMd6uvrue++++js7KSnpwetVktraytXX301cGGh+ta3vsXf/u3fsmPHDlwul4zFWr9+PV/72tcwm82yB7JwY3i93lmdB1wozv2Nb3yDRx99lPHxcex2u7RcFMczzozRFNmkwgojBKA4UQvRKFwowWCQm2++mf/zf/7P69YOm03EmAwGA83NzbI7g+jTajKZCIfD1NXVYbVamZiYoLW1VW7cTqcTq9VKLBaTge/BYHBaZvobxaTO9jxEPGgmk6GyslKOKxKJyLJKK1euJBaLccUVV9DR0cE999xDJBLBYrHIFnZXX301tbW10k0m+hiLcAUh8OfS5RUKhTh06BCXX345drsdh8OByWSSAlS4FUW4wNTUlOxWIlx02WxWJk6k02ni8bjs6LCQAlDcY683huJ+wCI2+OTJk7N+MP1N3HXXXQwMDMgWfG63WybVZDIZlixZwuHDh2WZIBHzKhKH3G43Pp+Pnp4erFYrK1asIJVK0dPTw3XXXUcwGOTMmTPS8pdIJKa1xJtLRDhKXV0dO3fu5BOf+AQdHR2yLFUikSAcDmOxWIhGo3R1dbFo0SKZtZzL5bDZbNTV1TEyMkIul6OhoYFwOMzg4OCC1vt8J6AE4AKTy+Xw+XxygRexM6IgqXjNQlEcA1SM2WympqaGbDZLOByWi73FYpEZmWLRFCJElIkQC0wsFpMZtE6n83WLK88W8XicyclJjEYjDodDurC1Wi2VlZXodDpqa2vx+/08/vjjnDt3jq1bt9LY2Mjjjz+O1WrF7XazaNEi3vOe9xAMBmVnimQyyd13301JSYkM4BfvYygUIh6Pz3pfY7vdzic/+Ul0Oh2/+MUvGBoawu12SyEnYpmKXb8mk4k//MM/ZMeOHezbtw/gNRaPmffaJz7xCT74wQ/O20IqFvUzZ84wMjLC8uXL5SYhujCIUi5Wq1XWkxPFq0U8mhC2tbW18t4tjkGdC0TzenjVcpRMJpmamqK9vZ0/+7M/I5FI4Ha78Xq9xONxjh8/zo033sjk5CQDAwPU1tbKXr9C1IsyGPl8nqmpqWnlYIrLRM02wv3Z2NjI4cOH2bdvH3V1dUxMTMiyLyJZBV4tFC/KDBVnmZtMJvr7+2V3B41GQzgcJhwOL1gpGJFsJuZRXMlAxNoVl9lJJBJ0dnbO+zjXrFnDBz/4QX75y18yMTEhSz319fXR39/P1q1bZf1OYf0SB44zZ87Q2trK5OQk/f39VFZWYjAYGBwcJBaLyfczGo1iMBhkB5c1a9awcuXKOZ2XEHdutxuHw0Fzc7M8QIiDYC6Xkwle4r4SBz7xvsXjcTweDzU1NRiNRjQaDUNDQ1RUVCgB+BtQAnCBERmnohimcPWWlpYyNjZGKpWS8WgLwRvFHYqFXjTsFpuwsNwV15YrLgAtRGA8HpcbQXEwu3jdbMc7+v1+mUwg4g/D4TCNjY0yyxSQySGhUIjh4WEymQwajUYGVotEFZfLJYsPJ5NJKaREGRVxTSKRyJx1bKiqquKuu+4in8/z0EMPyc1UjEVYicTniUSCo0ePMjg4OM39KzY9YSEU79PNN9/M+973PpYsWSLf07lEjDWfz+P3+yktLZWZvXDBEpXL5WhsbGRwcFD2mQawWq2YTCYZfmC1WuX7PdPaNxfWP9HFYHBwkGw2K0vXiF6yDoeDSCSCw+HA6XQSi8Xo6Ojg+PHjpNNpysvLiUajdHZ2Tquf19HRQXNzs4wXFEkgwpo2ly3hRKauw+GgoqKC5557jsbGRrxerxS7BoOB8vJyzGazLJUkDh+JRIJ0Oo3ZbMZqtbJ7925aWlrkoTAejy9oyy5RKxOQtTQFxfeIeC6E52O+sVqtbNmyhcrKSvx+P8PDw3R1dcl1q6urS3osRP9lt9tNIpGgt7eXhoYGtFotVVVVLFu2jIqKCjmP+vp6uV6JkkMulwu3243RaOTYsWNz5nkS90F5ebnsd19aWko6nZatRkVXI3G/i9qRosOR6FQTi8VYvnw5Ho9HdgRaSMvyOwV1hRYYIfBE5uv69esBZCsr4dbz+XwLMr432iyFwBMPmdiMilsJCcFQ7FoUiIVX1M2bDytnKpXCbrfLYsc9PT2UlpbS1dWF0WgkEonQ398vXSmDg4N0dXWxadMmysrKpNgVXRBKSkpkjUCr1UoymZTtr4QrJZlMzroLuDjmq729ndtvv51oNMrPfvYzeXIWCTkzf27Pnj1y4xZiT3wsthZu2bKFu+66i2XLlk2zoM01xX+jvLycqakpaR1OJpP4/X75Htrtdhm0L6yeQrSIsinxeHxe7i0xBtGdpdiqJGr6jY2NYbPZiMfjjI6OykQkcXgSrdXq6uqwWCwyUcflck0r9msymWSrtblMphB1H3O5HK2trfzsZz9jYGCAVatWMTk5KcW1sKSLAr5iXRBrW6FQkMV6vV6vPBQudCKIWLuE5W9mxxzxr/g1C5VUUFVVhdfrJZ1OMzIyQlNTk3yODx78/9l77zC5r+p8/J3ymd7Lzmyv2pVWvVnFli033G3ZYAwmGEx3EiAJId/yCxgI3wRIAiQhJgFjh4AdwBQbW+5dXavedler7W167/X3h55z9JnVyjagnRnheZ9Hj1bbdO/M59773nPe854+6PV6NDU18aWJ7FtWrVqF9evXIx6PQ6FQoKWlBXa7nQu8yH+PouPiyDVFpReKANJzr9Fo+JJQX18PhULBlz4iiW63my9TtJ4p2gcA8Xgcra2tyOfzXGhYjlaJlzpqBLDCyGaziMViCAaDAMAha6fTiUgkwlVN1dLbkIgCkSRaxOLet3NF6WJiISaJmUyGi0GI6NLXLraw3Wq1IhQKsYE16RCVSiV27twJAHC73XjllVfYSX5mZgavvPIKrrnmGuh0Ou7SolAo0NPTA6fTiXXr1kGn06G1tRXhcJgjiPS6qFSqi66dm/varFixAp/85CcxPDyMXbt2lWzk9P30M/F4nKOuYq0gkcBsNosVK1bgL/7iL7Bs2bKKpeeo7RNFk0gHGAgEEAqFUFdXB7PZDL/fz685AG4nJ5PJoFarmcAQ5nZPuFhIp9PQ6/Xo6uritnwAuHMB+SieOXOGRfnJZJLtlTweDzo7O7FkyRK+VJAxsVwuRzabZVJI642e44UCFd6k02l0dnbC4XAgn89j+fLlOHLkCGvQyA2AIoD0eeBce0gqcKFImtikvFKgDkaUQhdHjKjIBkCJX6bBYCj7OGkcmUwGUqkUbW1t6Ojo4K9dfvnlcLvdTKxVKhV7t5Kx/nygz9P86NmiZzaRSMDhcCzYvMjMnPYdMqkmCRS1SlWr1ZidnUVbWxsEQUAymYRCoWCPXJIe6PV6BINB7hBSSZ/JSwU1AlhhUAqHqvmoyrKhoYHTwlRMUGmITUjFXnrAOdNh2uzF4yUDXDp8xQbFdKiLPcHotn0xQ/hqtRpdXV1wuVwIBoPo6enBn/7pn+LUqVNc1RgIBDA6OsrVZ/l8HsPDwzh58iTa2tqQyWTYTPXDH/4wa+6i0WgJiaVeolqtln3qLibm29CbmprwF3/xFzh06BAfyKRjersoC/nnURTnH//xH7F8+fKKPnMURbruuutw5swZDA0NAQCbUzscDrjdbpjNZqRSKU6bptNpOJ1OmEwmJvxzLyMLgXA4zIcQ2bKQfiyRSHAqlax6mpqasGLFCp7Pxo0bsWrVKvbJk0gkaGpqYsnE3EsW6Wypdd5CgCr39Xo99Ho9GhsbOXVIUWGKJNOFjqIvpB8kIpJOp7nfczAY5IO+kj1bKXqZTCZLvOPotQXOXRiIJFaqHzsA7kpC7fdIf2m329k/VrzWM5kM/H4/X4Ko+InILj1L1Ned3kMqrDAajRdduywG2VFJpVKWR0xMTMDr9XLEkwzglyxZwppNyhpRj2rSccrlcr4wUfvOGt4aNQJYYdhsNlgsFl6ARBboNkY3/Ll+epUCpUWKxSIikcgFvz7X5JUWOm1CdJPTaDQIBoPz3tYudoWgSqVCW1sb0uk0HA4H1q9fz1+LRqPweDycQqV0A3WVGB0dhV6vZ08wihCK+/CSPoV+tpwpCI1Gg82bN+PnP/853njjDTgcDibq4vSVOPVGhCKbzSIcDsPr9eLWW2+tSLW5GPl8HuPj4/D7/ex5Rs9IoVBgs1s6sLu7uzE7O4tQKIRCoYB4PA6v14tEIsGHyELDarVyX2uqciVzc+ros3TpUixfvhzAuagscI7QU1cE0i5SlJC+HolE+D2jv1OpFEsQLjbE3WIymQxXX7a2tqK3t/e87yVyqNVqz4tSZ7NZmEwm7N+/nwtABEGAzWa76OP+XWCxWHh+tD7EFyyxpEUmkzHRqhQoqkdNAUiLTRE8kh5QpFWpVKKlpYXnRc8NSSfoUk+XCMrsiLXECwUaE6W2bTYbRkZGoFKpoNfrkc1m4ff7USgUYDAYIJVKMTIywtHocDgMt9sNk8mEY8eOsR8lpZAr4Zt7qaFGACsMp9NZkiIkUqXVavn2YzAYKtIH+O1AGydFOMSbJ5EkAkUFc7kc92el27+4Vy2AEiK8EBBXNBMZoqpmsSic0o+XSiWZXC7Hhg0bcNlll/1em3c1GafSs79//36Ew2GOqBoMBrS3t7N2aHZ2lo24ybCcIm8jIyO49dZby3J50mq1UCgU3J0gn8+zaW00GoXb7S7xJ6NnnqIxdFhT2jsej5cUsdChTYSQvgZgQSOAlK7N5XLs/TnfwSqRSEo6Fc1XeEOkXSKRsEZzocb+TkF7wVydqHjvoos4RWGB6lkrEonk936+K62RC4VCGBwcxPT0NAwGAxobG/HCCy+gqakJHR0dsNvtfHmdnp7mAjC1Wg2ZTIb6+noYDAa+8Pb09GD79u3c4eRidy36Y0SNAFYYBoOB+xeKq9JoUUskEphMpoveFeP3gTglSLoN4FwFHaWExZsnCdmBc6lgMcHL5XIVjW6Ki1HEkSIq5qiGTf53xe875mqaKxVPUNSVokZerxdtbW0IhUIIBoNobm5GMBjkrhTkkRYOh2EymfDqq69i06ZNXIizkO8pVR5qNJqS1KHBYGDNJUWZKAIo9poDzkVg5rZ9pHET8aMoB+mhFgIUVaLeq16vFx0dHSVFXfO9lmLvvLnRNGpHptFooNPpKn5I01zEfpniTjmkVaRI6Fw7rBp+fxiNRixatAhGoxFHjx5FT08P9Ho9YrEYxsfHEYvFWOJBXXBIDkFVwBKJBG1tbewcMDU1hc2bN7MFVw1vjRoBrDBI7AqAQ/gAOIQtk8mg1WoXvCn37woxiSMDUdokKaJBRFAsVJ9rPZLNZsuWpvtdUU2E6N0ESifSJk4XC7lcDr1ej8nJSeh0OnR3dyMajZaQIypcICshr9dbVjH43Oi1WDM7t9Kavi7+m37HXIh/Vkys5rO5uVgQFwkolUqYzWauSL4Q+aPxz9WPSqVS2O12BAIB1NfXs05rIYtY3gkMBgP3VRZXlIs9TPP5PGKxWEl1bW1v+MPhdrtx6tQp2Gw2zM7Owuv1IhQKobW1lfWOgUAA4+PjyGazWLt2Laanp6FUKvl9Ix/ZY8eO4aabbkI2m4XX6+UIYQ1vjRoBrDAorUXO7lQNTBusXC7nFlDVBhofbYZi/d9c0TpF1Obz+Vvozgw1XHoQW4lQZIbMYBOJBNra2iCXy3H69GkAZ42xs9ksAoEAR+KoN/Dcy0U5I7ti+xbxxxcLC1moI5PJuKIyHo9zVHZuVf87gVQqZc9GIllAKfGtBKhjCVVqkzOBWBtHRXpSqbQqMjF/LCBZUDAY5D7SoVAIJpOJ/QCJzAmCgKmpKYTDYZjNZsRiMa6MB86mk+12O5unU3FIDW+NGgGsMEiYK5PJEI/HmQBSSpVc9KulCIRAVcC0QdItWRwBBMCt4cieAzhHFEkvRX1Ba6gBOPtsUfcLg8GAYDDIERqJRMKaWYrYUJEFHdzkGVgoFLjatIbfD/l8nv0AE4kE6urqfmdxPRFupVLJvy+fz0OpVFY88i9uT0fPmNgXk6xtSKO50O0Q300g9wFq22ixWOD1etmQWlxYFI/HMT4+zh6g5D1JjQf8fj/7sKZSKeh0upoR9DtArUymCiCu4iMtEKVIlUpl1djAiFEsFtnwlm5cdLNvampCZ2cn7HY7LBYLG9zq9Xqo1WrW2JAnn81mq/hBUEP1IJ/PY2pqCoVCAUajkVtGkVmy1WqF1+tFKpWC1Wpl7zK6LKlUKtZwBQKB8y4XNUL4zkB9rqemphAKhWAwGEo6R7yT13G+1HY0GuX+rpXw1RNDnAImAigeM10qcrkc72E1XBykUimulG9sbOQCIUEQ4PV6EYlEYLVaIZfLufhJrVaz1COdTiMWiyEUCiGTybBcJBKJIJlMVrSF6qWCGkWuAtTV1WHjxo0IBoOcYtDpdFi3bh23K6s2kPaisbERSqUSa9asgSAIWLx4MW666SbYbDYEg0FezBKJBEajEZOTk3jjjTcwNTWFwcFBdHV14YEHHqjKKucaKoNCoYDp6Wn09vZyj1Ly94rH49izZw8WL16M6elp9qYLBoNIJBIwmUzcWYb6VIsJYI38vXM0NTXB4/HgyJEjiMViuOOOO2A0Gn+n3zG3ur+lpQV9fX0oFotYvXp1xVKq5FhgtVr58kpVz0QeKAoovuQSLtUCsWoCdcRJJpNwu91wOp3Ytm0bbDYbe/45HA72Mayrq0MqlUI4HOYIoEajQSQSQaFQYKNoigxWusr5UkCNAFYBrrjiClxxxRUln1u0aBH+7d/+rUIjensYDAb89Kc/fcvvId2i+NZssViwcuXKBR1bDZc2BEHAxo0b8Wd/9mf87FBPZuCsVZJEIsH09DS3WaMoulKpRCKRQCaTwUsvvYSTJ09WnXziUoFCoYDT6URnZydmZmb+oEsaEaampibMzMxg0aJFMJvNFSNRRADr6+uxfv16KJVKbmMnlhMAYBPvJUuW8M/XyN8fjvr6evT29uLw4cMIhUIAgHvvvff3+l233347gLPnC5HKWgTw7SEpVlqFW0MNNdRQQw011FBDWVHTANZQQw011FBDDTW8y1AjgDXUUEMNNdRQQw3vMtQIYA011FBDDTXUUMO7DDUCWEMNNdRQQw011PAuQ40A1lBDDTXUUEMNNbzLULOBqeGiIBAIQK1Wn9fcXeyXlUwm4fV6EY/HSywVqhEnTpzAqVOncOutt5bYiCSTSbzxxhtQKpW4+uqrKzjCdwfIrgMAewB+6UtfgtPphFqtRjabhcfjwUc/+lHccccdbD2Uy+Xm7UlbDZicnMSJEydw8uRJBAIBbNiwAfl8HseOHYPL5cJVV12Fq666Cg0NDSU/V23ecwcOHMCuXbswOzuLlpYWpNNppNNpfs/I2mPp0qX48Ic/XNnBvosQDAZx7NgxvPDCCzAajZBKpdyxKZ1Oo7W1FVu2bEFXV1elh3oestksjh49iueffx6nTp2CSqXC6tWr0draCpVKBb/fj+npaUxNTSGVSqGzsxP33XcfHA5HpYd+SaJmA1PDRcGrr74KuVyOzs5ONDQ0IJ/PQy6Xc/suiUSCN998E6FQCMuXL0d7e3ulh3we8vk8ZDIZDh8+jJ/85Cf4zW9+g/b2dkgkEkxMTKBQKMBut8Pj8eDqq6/GV7/6VTQ1NfHP1XBxMB/RSaVS+O///m986UtfQigUgtlshlqtRjAYZNPYK6+8Ep/+9Kdx8803l/ys+BmsFF544QXs2LEDw8PDSKVSkEgkiEajOHHiBLetk0qlcDqdWLZsGQwGA/L5PBYvXozbb78dvb29FRv7hfDd734XP/7xjzE7Owuz2YxEIsHzkMlkbKC8fv16PPXUU5Ue7h81xGvmZz/7Gf7P//k/3EeXeq+T4bVSqcTWrVvZx7UaLhaxWAwPPPAAduzYAbPZDLlcjmw2i0gkAo/Hw11CCoUCzGYze34WCgVEIhFYLBbcfvvt+Ou//mvodLqKzuVSQi0CeAlhbgP2WCxWNY7n7e3tGBgYwNTUFLf1AVDSNzQQCKBQKJwX2agW0JgPHjyIPXv2IBAIQCqVctu6YrGIXC6HcDiMmZkZDA0NoampqUb+LjLEh9Gzzz6LF198ETMzM5idnYVKpYJWq+VuAJlMhg+EkZER/OM//iOeeeYZrF69Gu9///thMBgglUpRqXtuKpXCY489ht27d5e0qlOpVGhqaoLdbmfipNVqUV9fD0EQkE6nkUqlMDExgR/96EfYvHkzbrvttqpY6wCQTqcRCARQLBbR0NAAmUzGpE+hUEAmk0EqlSIejyMajXLXlhoWBtTDGADvV3K5HHq9HrFYDACgVqvZIFncHaeSBDCfz8PlcuFLX/oSTpw4AbPZDKVSCYlEApVKBbPZjKamJu7HLO4pncvl+MKRz+fxwgsvYGJiAn/2Z3+G3t7e87JRNZyPGgG8hDB3kf7mN7/BihUrqqKzht1ux/T0NOLxOGZmZmAymaDRaBAIBBAOhyGXy6FSqaDT6aBUKis93HkRDAaxd+9e7N69Gz6fD1KpFJlMhm/N2WwWmUwGgiBgfHwcP/nJTxAMBnHXXXdVeuh/VMhkMnjhhRewf/9+HD16FGNjY8hms5DL5TAajdBoNLzxx+NxGI1G7ufqdrsRCoUwNDSEU6dOYe3atbj55ps5NVxOpFIpDA4OYu/evcjlcrwGJBIJ5HI5ZDIZ6urqIJFIUCwWIZPJoFQqUSwWuaVVPp9HMpnE7t27sWLFCrS2tlYFCdy9ezdGR0chkUig0+kQj8eRzWYBgMmfQqFALpdDPB7Hzp07cc8991R41H9cEBM38UVbq9XCarViYmICTU1NOHr0KIrFInQ6HYrFIorFYomspZLRP7fbjUcffRSHDx/mdo+5XI6j4gqFgteCXC6HRCLhPTmbzTLxFQQBhUIBR44cwS9/+Ut88IMfxIoVKyo2r0sFNQJ4iSCVSmF8fByxWAxyuRyJRAK/+c1vkEgk0NDQALvdXqKXKjckEgkUCgXi8TgmJyfh9XqRTCYxNDSEYrGInp4eaLVamEymiozv7TA4OIgXX3wRO3fuxJkzZ5DL5aBSqfjrcrm85ONoNIqdO3fC5/Mhk8ngpptugsFgqHgq5VJHPB7HwYMH8V//9V84ffo00uk0pFIplEolp4GUSiVyuRwMBgMikUgJISoWi0in05iamsLU1BQGBgYgCAKuuuoqOJ3Oss4lFovh4MGD8Pl8sNvt/HmJRMJtqgRBgEwm44MsnU6XRCtlMhnkcjkCgQBOnDgBu91eFQSwr68PMzMz3Cu3UCgAOBt9oj66FGVKp9PYvXv3JUcA/X4/tFotFApFxfbVdwqXy4WZmRmEQiEcOXKECbnVauU1QUQplUrB7/fj4MGD0Gq1WLx4cUXGTNG/l156CQCgVCqRyWSgVCphMpkgl8uZ+NHlKRaLIRqNQiKRcHaGCKEgCMjlcti7dy/Wrl2LRYsW1aKAb4MaAaxCeDweeDwe/nexWITf78ebb74Jl8sFQRAQiURw/Phx2O12LF++vOSAqQSo/6pMJkMymURfXx9OnTqFgYEBbNmyBfX19XyIV4PmRIxCoYCf//zn+NGPfoRUKsXjVKlUKBQKrKGhGyjdolOpFPbu3YuTJ09Cq9XihhtuqIrD+Z0im80imUxCJpNBq9VWejgAAK/Xi8cffxx79uxBU1MT9Ho9v95EjIrFIkKhEEeTqdiD3htqEg8A/f39eOyxx2C32+FwOMr63MXjcZw4cQKFQgGpVIoPYHqWiFRks1meG32Onjvx8zcwMICNGzdWxSXK5XLxes/n8yUas2w2y+lImsPU1FSFR/y7IRKJYN++fWhsbITBYOAUJD1zgiBAIpEw4SUCrFKpyvb+0LPs8/nw29/+FgcPHsT4+DhGRkYwNTXFUXGFQoFMJsPvUyaTwYkTJ/DQQw/B4XDg3nvvxZIlSyCVSsu+PmZmZhAIBKDT6ZDP55HJZFBXV4e2tjbu801FLDqdDj6fD4FAADKZDBqNBsViEW63G9PT08jlclCr1QiFQhgZGcHMzAw6OzvLNp9LETUCWEWgh/25557Dj3/8YygUCj48otEoQqEQ0uk0IpEIuru7IQgCfD4fZmZmAKCit9RcLgepVIq6ujooFAo88sgjmJqaQiwWw0033QS3241YLAadTodkMlmSgqgkisUiIpEIHn74YUgkEhiNRhYbU0SVDmyKaBCBlcvlMJlMCIVC+L//9/9i48aNFSfi7wRUtOL3+3H8+HEolUqsXLmypFiChPz0/RKJBBqNZkGfMSJ2+/fvh8Ph4I2fNGXiw8nlcnFaVaFQoFgsIpvNlhAQKqoYGxvDzMwMstlsWQl6LpdDKBTisYlTuzRfIncEcUqP3o9MJoNisYhAIFCi3aokVCoVBEHgtG8ul+PCL+Bc4Q0Ro0tN/7d//3784he/QF1dHdRqNWZnZ+FyubBixQo0NzejsbGRI7OxWAzxeBwAsGjRItx6661lGSNdGp588kl88YtfRDQaBYCSiNnU1BTy+TyfFYIgIJ/PY3p6Go8++igA4LXXXsP27dvLLpOYmZnBwYMHOaul1Wp5rdB6jUajyGQyiMfjEASB09dSqZQlRVRsSJH0VCqF48ePo7e3t0YA3wY1AlhlkEgk6OzsxOrVq0vsL1wuFwYGBiCVShGJRPDSSy/h3/7t3/Dmm29iYGCgwqMGZmdnEQqFUCgUoNfrsXLlSnR3d2PXrl0IBoNob2+HWq1GoVDAzMxM1VgQUHVpJBJBXV0dp68AlBR3EAnMZrN8SNNmpVar2dpjw4YNVUNuL4RcLgeZTIbJyUn89re/xalTp6DVauF2u6HRaGA2m+F0OtHS0sKbsVqtxhe+8IUFPcgTiQTcbjcSiQRMJhNXy4ojsETsKJWl1WqZrFNalS5OmUwGKpUKuVwOHo8HXq+3rESEDiOKuhD5vJBUo1gs8vNHUU36tyAILOCvBpBWUSKRcJTW5/Mhl8vBaDQCOEsSKTpWV1dX4RG/cxSLRRw9ehRLly5FMpmEIAiQy+UYGxvDq6++CovFgtWrV6OtrQ2xWAzZbBbpdBpqtbqsF0Ai2N/73vdQLBZhMpl4LRDcbjenR5PJJF+SFAoF9Ho9JBIJDh8+jImJCeh0urJekMbHx7F7924oFAokEgnk83loNBr4/X64XC4Ui0XI5XIIggCtVguJRIJ0Oo18Po90Oo1gMMhrSa1Ws+xAEAScPn0ap0+fLttcLlXUCGAVgQjHFVdcgcsvv7zka8FgELt374bT6cSaNWsglUqxa9cuqFQq9PT0VGK4jFwuB7fbjZ07d7Ltwyc+8Qnk83n81V/9FUKhECKRCORyOVwuFzweT9UQwEwmgx07dnD6Ya5diFQqRS6XQyaT4c/R14l0kND9yJEjWLZsWVUTQHEqNRaLQRAEKJVKxONxpFIphMNhjI2NIZVKcaTQaDTiyiuvXHDy5PP5MDg4yBXX4rES8aPiAjqU6bAjaQHp0QqFAhKJBJRKJWuLksnkgo5/LvL5PKLRKARBQCKRgEajQS6X4zkpFIrzUm5EqogMqlQqRCIRaLVarhauBshkMoTDYfj9fmg0GrjdbgDg116n0yGdTiMWi51XdFCtoOdnz549rK12u92c1m1qaoLFYsFNN92EbDaLqakpruym6u5yvj+FQgEulwsjIyNMjmgeYlmEWFZAkdpsNssXqXQ6jSeffBIOhwP19fVlG7/X68XIyAh0Oh2y2SwXelE0j2QSdOmh15qyLzqdrsRjVqvVcjTR6/XyM1nDhVHdytZ3KWgTITIikUhgNptxww03YNWqVZBKpfjbv/1bTE5O4q677sIdd9xR8nPlhlwuRyqVwubNm3HPPfdgyZIlmJ2dxdjYGJ566imMj4+XRNPEh0GlD7R8Po+TJ09CJpMx6SHiQelE+j6xLouIhthna/fu3YhEIhWdz9uBSAUAnDx5EslkEgaDgYXXZrMZer0eNpsNNpsNZrOZP15oJJNJvtWnUqkSfzyxxo9SouJDAgAfaGq1GjKZDIlEggXwe/fuxYEDBxZ8DmKICyFCoRBmZmZYsC4mqnMtajKZDM97amoKk5OTkMvlPO9qAOmvMpkMV2crlUrcfffdCIfDSCaTPE8AJQVV1QrS9O3duxcSiQSRSIQvRTKZDCtWrMB1112HwcFBHD9+HOl0mqPNyWQSLpcLu3btKtt4s9ksduzYwTYvtA/RZYn2JuCcpECv17NPHhXwAMCOHTvKunfRvkpnAekPxfssRVZpDvQ8kZ6RqoWz2Szr4ilDQ1Ier9dbtjldiqhFAKsQ86WH5uqy9u3bB7VaDYvFwmH7SmkA0+k0RkZG0NzczBYvwWAQoVAI8Xgcg4ODfHj5fD7W01FRRSVRKBQwOzvLxSsAeA5iATKAEj858cZKKbqhoaGyR5l+X2QyGZw5cwZut5u1NqlUCrlcDul0uiTNTV5uC41EIsH2OwBKxkHPPUVdiTyJU78U9aCINKXnpFIpJiYmMDExseBzmA+pVAo6nQ4bN27E9PQ0XxxobuI1QOOfKzmgz1UL9Ho9r+NMJoNIJAKdToc1a9bg5z//eQm5lUqlMBgMlR7yBUHrO5lM4vjx4wgEAjCZTIhEIiwjyGQy8Hg88Pv9/JyRGwMAmEwmdHZ24oorrijbuHO5HI4cOcJ7kTgaDpwjVUSmqGpWfOmmtTM1NcURxHJgcHAQg4ODnGUQX+RIpyi+7IijgOLPUxqcotDki5tKpeD1ejE2NnZJ6LIrhRoBvIRAB8Xx48cxNDSEa665Bs3NzQDO3qj8fj+KxWJZw/jA2UWZTCZZYyIIAmKxGB566CHU1dWhWCzC6XQiGo1iZGQEWq2WD8VqIICxWAxms5lvlrRZiqv7xMJ9+jkifxSNosrIagYdDk8++SQGBgaQSCQ4+kmWCmKSm8/nkUqlWOS+kIhGo3C5XBz1prQtvfYUbaHomdhORYxEIoFIJMLpLolEgnA4zK3JygF6jsQdMerr6+HxeJjYikm2WFYgLqRobW1FMplEJpOpqKH1XKjVaq4ypUuD1WpFZ2cnjzOfzyOfz0OpVKKpqanSQ74g6LVPJBI4deoU++XRGic9KaUogbMEmNL7GzduxPLly1FXV8f7cTmQy+Vw6tQpAKXESFy8RoUT9DcRVkEQ+OcEQeCLYLkwPDyM4eFh5PN5xONx1iXT5Vv8+tOcxA4MdLEgiY5UKuVWhHQxmZqawoEDB7B+/fqyzetSQ40AXkKgBfDss88iGAxiy5YtaGtrg8fjwaFDh3DgwAGsWrWqbFVoBJlMBpPJxKJv8mpTq9VoamqCRCKBwWCATCbjyIGYUFWSBIq1MvO1CxNHAOfetCmSQ5HCubfWagO91slkEs888wxHlSnVKo7Y0M2a0kjRaBQTExNoaWlZsPERAaSxkglyOp3mAggxMaf3SkwCKdpBRJEOh2QyiVQqtWBjn4tMJoNYLMbPeSwW49Q0jZPWM0FsCE1zXbx4MYaGhtgPUVydXkmQFgs4l+rWaDRoaGjg54oOcZVKhba2toqO90IQrwmq9NVqtUgmk/xe0EVCoVBAo9Hw/OLxONavX49rrrkGnZ2d51WqLzTy+Tzr/2i9iJ8LIoD0MX2POFIuft7KuXc5HA5s3rwZbW1tHKmj1DVd3sSvJbkB0FoX+2gWCgXE43Fs3rwZGo2Gi1ksFkvVdp2qFtQI4CUEOpRfeOEFqNVqdHZ2wu/3Y9euXfjVr36FgwcP4sEHH6zIuOrq6rjxeC6Xg91ux//6X/8LSqWSN1S1Ws1Rm2rwy6ODS61W88ZJFgpEMMSEYy4ZpI2XojbU5aFaMJdc079PnDiBkZERLF++HG63GzMzMyXRJTL1pmimRCKB3+/Hyy+/jI997GMLNt54PA6v11tiwyOTyTjyR5orOrjowBMTdzrcSNyezWY5qkAEtxzvUSqVKok4xmIxaLVayOVyHgM9P3PHTx9T5ExcZSrWB1YSCoWixByd9GVms7lk3dDrX+0HMRUgibW9YnNh8pZUKpXQ6/Xwer1wOBy4/fbb0dLSwlGpcq5/srCiSwXtqbSOaS8TP2Nznzv6Ptqby4WNGzdiw4YNSCaTGBsbQ19fH4Cz0qbDhw+XtBQUzwk4dw7SXGQyGWZnZ/H1r38dLS0t7GtqMBguieKjSqJGAC8xpFIpzM7Oorm5GSdOnMAzzzyD119/HTqdDsuWLcM111xT9jFRWoEqNCk0b7FYMDo6yre8iYkJFAoFtLS0IBqN8mFRKeRyOfj9fqRSKahUqpIUCB1ipDGjw068EVG0idLe8XgciUSC9Y2VhpjQAWAN0Pe//33W3VA0llK/Yr9DglQqhc/nwxNPPLGgBJBIExHyVCoFhUIBlUpVUh1Ic6KDWUwC50Y3yPvPZDJBp9Nxp4GFRiKR4F7SlEYng2CxWF+sx5qP1FFaSxAE6PV6xONxTnNVEkRmgXOkVdzHld4fMYmvNhCRJs3o2NgY9Ho9v960PmhtCILAWsahoSF8+MMfhl6vB3BujRFBL0fRC1nwkEenxWKB2+3m1pviSKyY8FEqu6WlBT6fD7FYjCUg5SSxNO7e3l709vYCONtikF5vWttztb7Ud5ogk8ngdruxevVqWCyWqrqEVzuqR1VcA4DzRa7AOeF7Op3G888/z7q1f/iHf8DBgwfR2tqKyy+/HFu3bq2IUazH44FCoUA6neaCgR07duDzn/88nnrqKfaZa29vh9VqRSwWQyAQKPs454KE3VTNCICjRpT2masxE2u15hYipFIp+Hy+qikEmevsT5qh1157Db29vchms+y/NVdkLf43VUf29/cvqMaRPAjpgCIPPYqwku6MPOgoCiXWBhFIN0coFosIh8OYnp5esPGLIU7VUuW12WwuaWAvJq30b3HqlPR1wNkIokKhQDgcLmsq+0LQarX8PhDJ6+3tLSF6FOm3Wq0VHOmFQYR7ZGQEQ0NDHPGbKwUheyilUoloNMrFSjfffDPMZjOvF5/Ph1dffRW/+MUvyjJ+kmYUi0Xo9XqsXr0aTqfzPOInLgYR62lXrFiBxsZGLuTx+Xx8mS8H6Bmfu8eq1eoSiyTxOhJfainCTPrBsbGxks/N9USs4XxUPkxRQwnmu73Qog0Gg3jggQegVqu50IMq1tra2uByucpayUUwGAyQSqWwWq1oaGhgTzmtVos333wTv/71r/Hwww+jsbGRF3E5ojBvh0wmg5mZGaTTaW7/Jt4sxZYpBLEvFYFSxGKSUm3I5/OYmprCRz7yEaxbt47TJrFYjAXuYuE1FcLo9Xr2CYzFYpiamkJHR8dFH18oFILf7+eoXkNDA44fPw61Wj3vIUGHFhFA+kOCfUrT0UERDAYRDofLFh2gg4hS6X6/Hx0dHfyciSs1xXpY0pER8VMqlRwNpS5A1VBoRDorupjK5XIsWbKEuzTQM2UymarG81MMutjEYjGcOnUK09PT0Ov1rGWMx+Ns75LJZCAIAgRBwPT0NORyOZqbmzE8PAy/34/Tp09jYmKC+0+vXLkS9913X1nmQH1xtVotnE7neSnPuQSQnj2lUomWlhbkcjkcPnwYSqUSfr8fiUSibG0h54t4k7E7fZ32JAAl7wNwlhhms1nodDp0dXWVRD3n03PXcD6q76R6F0D8gM8V3gPna7dcLhdefvllfOc734HP58NTTz2FF154AR0dHdwfOBAIQKvVssdTORGLxXD48GFMT0/DaDSis7MTPT09cDgcmJiYgM1mgyAI8Pv9fOs7duxYxSsDc7lcSSSSNhOxCF/c4mq+26R4EyMyVelbp1g/RwJ30ofKZDJ0dnYimUwiGo1yuosKLnK5HFQqFWQyGerq6mAymZDJZBCNRpHL5XD06NEFIYDAOZ8v8u6jmzxVm9L7IJFIStKPtH6o8IOIOP1OIiqk4yoHqIKZNIt6vZ6tXcSpd5oDcP66Jy1TJpOBRqNBoVDg96zSMJvNrHklEqvX60tS9IVCAVqtturawIlf5507d2J2dparZKn6nMgFeYGm02mOBALA6OgovvnNbyKRSDBxop9bqPUxF7SXFotFGAwGGI1GluCIi9vEJIreK5lMBovFwtmKYvFsq8FKZy9on6VIHxWtiOcxt2peXMVd6aLCSw21FHAFIL71i01uCeKPh4aG8JOf/AT/8R//gbq6OjzzzDO48sorEQwGEY/HORVGbvSViD7t3r2bScP09DSGh4ehUChgt9uxdu1aruSkzWpmZgbf//73yz7OuaDCAuDsYUsaQPEtEjh3E50rRBbrfuh7iESVC7QpijUy4mfqzJkz+PGPf4xvf/vbAIAVK1ZApVJhYmICwWCQza+JNBmNRu56QDY91HhdoVBg7969CzKPuRW9fr8fS5cuZU0PdSyh6CRpsgCUpHrofSNzYoqQ0MFSruiZ2MKGDmhxZfV8KWDxvkAHnUajgd1u504iQKkOtVKwWCxsBk2HNM2RUCgUYDQaF7Ry/J1irl8kcJb8jY+Pc6qaSAbZ2oj/kNY3kUjgxIkT+NjHPgatVouxsTH4fL4SnWA5+s+SfpnmJH7t6XkiiPVyBCr0IoP3aiGAc3XLROgocjm3EE9MAKnvdg3vHLUIYAVQKBQwMDDAPmE2mw1Op7Pk61KpFC6XC7/+9a/xwgsvwG6348/+7M9w+eWXc8VWJpNhewiVSsUflxMulwtKpRIrV67E2rVrecEWCgUIggCTyYS6ujpEIhFMTU3BaDSitbUVGzZsKOs43w5kdzKXiF/Ie23uLVOcxivHJiSugJ1vTNQ6sK+vj/22GhsboVKpcPr0aT746MCjOVD6jro50KZLkbWFctYn0kppqkQigbq6OoTD4RLrCvJqnKtbpN9B64IuILOzs/yexONxBIPBsni1UWqUXru6urqSSnPx8ybOAIgvFmQCbbPZMDk5Oe9BXilQYY44uiROHdLzabFY0N7eXqlhMsRRpHA4jP7+fpw+fbrEVoRkBel0GqlUiiN6lJKnThmf//znsWHDBoyNjXGGQBAEZDIZJBKJshgPZ7PZkipz0lmKq2MpijlXJ0vvWTqdZg2jRCJBNBqtuLyA/n961omci4meuKpZHBGspk45lwpqBLDMiMfj+NWvfoXh4WEAZ/2Qmpqa0NDQAKfTWZIWfemll7Bjxw4YjUbce++9uO666/hrpIWghSDurlFOUOcGo9GIxsZG6PV6JJNJDA0NQaFQIBQKwWw2IxwOQ6vVQqvVQq/XY8WKFVUZrp8v0ve7oJx+WuIbfzabRSAQwNDQEEZGRjA9PY2TJ08COPusUMqOzLgTiQRH0Ihcie0v6CAUW44IgrCgZrH02pGpq1Kp5EOMOgbQMzPXC3Bu1IPWAZFbiUSCRCIBj8ezYOMXg9LR9LrW1dXx60wN7ongiSO34tQdcPZ5NJlMVbdWaKxiiyRxsQe9jxaLpezG9OIx0NqIRqMIhULIZDJwu90YHh5GPB5nEksRvnQ6jUQigUQiUWIIT7rUZcuW4b3vfS//HFDqGJBMJmE2mxd8bvl8HuFwmD+m157888SXBfFzQ/tbJpNBIBDgwINEIuFK4Epirrxh7iUJKM3QiOUuNfL3u6NGAMuEXC4Hr9eL48eP46tf/SoMBgO0Wi06Ojpgt9thMBiwZs0aCIIAh8OBgYEB/M///A/y+Tze97734e677y75feK0L91AgXMO7+VCsVjE7OwsR2YUCgVvrIIgYPv27bjyyivhcDhYDO52u+FyuZBKpVirVQmIq12B0o1SrEMRbzDiDYl+RnyI0+uw0CDdEW2A0WgUAwMD2LFjBzezb2pqwlVXXQW1Wo2TJ08iEAggFoshmUyy7o+a2CsUCm6kTgSEWmBRRV2xWFwwewsinOJnSKfT8f8tJhqUrpubPgXOHQ7ins5UoEPFGOUERY/q6ur4ORLr/+Z+79yPC4VCCaEoV4T5nYLWkFwuL8li0GVUp9Ox/U25Qa+31+vF0NAQJicnmTipVCom4ZlMhv8kEgnE43E2gqbnqLGxEddcc03JJZwqcMVpSblcXjYCGI1GeV1aLBa+KAHny1jErwkRwMnJSSxfvpy/Rq0gKwmx9yhBfMmj92O+CGClvTEvRdQIYJng8Xjw05/+FI8//jiL6wVBgM/nQzabhVqtxtTUFEKhEO666y781V/9FUZHR3HPPffMmy41mUy8UalUKlgsFgSDwbJHAC0WC7xeLzweDwRBQDAYxMmTJ3H77bcjlUrhm9/8JjZv3szpO0pHjIyMYHR0lP2fKgVxVw+FQlHSIkm84cxX/QuACRQdyuXaRJ988kkcO3aMO2REIhH4/X7U19fjve99LxoaGji96/V6kcvlMDQ0BLPZzGleMq8mLRd5nxEZo76a5HUWDoexZMmSBZlPIBCAz+dDoVCAWq1GOBxGS0sL+vv7uaMBpdkoNS0+GMRRcJq30+nEyMgIgHMXo3K0tKMxURQmm82is7MToVCoJMUrlg3Qz4jnUyyebd1VX1/P/67GbjO0VsT9fokU0vNVCVD09dChQzh27BiUSiXsdjuMRiNXKVPxBkX/yOZFpVKhUCggEolg2bJluP7663kfFkfFxZFa4OzFvBx9j6mFGnD2OVKr1XC5XFwIMbdQQvysUbr01KlTeM973sO/Mx6PVzwFPLcDyNziSDHhE6eJSSdcTVHySwE1AriAoBRVMpnEgQMH8Ld/+7e47LLLYLVauejA5/NhYGAAJ06cwK233oovfelL+O53v4vDhw/jfe97H7Zt2zbvoRuJRLjiy2g0QqvVYnp6uuy3oHA4jNnZWdhsNlgsFmi1Wvj9fvZou+aaayCRSJBOp5HL5aDVahGPx/Hss8+irq6uogRQrF8qFApwOp3Q6XSIx+OcCqGIzYWgUqlQX1/P1cTiW/hCjnt2dhZDQ0Nwu90oFArQ6XSwWCysBz1y5AhOnDiB6elpeDwepFIpNDc3s9bJbrdzGyXqBiKTydDQ0ACZTAaz2cxzF2twFqrNoM/nQygU4siMy+WCw+FAPp+HVquFSqUqMYqmZ5/GJQhCSdorFothyZIlHIETW2CUA3O1fN3d3ZicnGQyKz6gxYcZXTaIvMRiMbS1tXH/4GqKAL7VYVssFhEKhcraf3m+MUxMTCAUCkGhUECn0yEcDnORB1X4JhIJ/ncqleJoktfrxerVq7Ft2zYsW7aMfy/tsaQ5E1f9KxSKsmQ1qGofAHcrGRwchM/nAwCe29xshTh6Njs7y56SqVQKsVis4hFAGo94ndIaF+/VYhJIH6fT6apZG5cKagRwAUEbxcTEBE6ePImrrroKmzZtQiaTQTAYxG9/+1uOVAiCgG9/+9vYs2cP3G43mpqa8OlPf7pk4xGDKiIFQUAsFsP4+DjbTZQTQ0ND+OAHP4i2tjYEAgEkEglcf/31HKn51re+hdHRUWg0Go4E6PV6fOYznyn7WOdCfPAWCgVOp1OVKaXqxG3sxEJqAExQ3G439Ho9RxQWEh/60Ifg8/mg0+nQ3d3NkQu/34+JiQm89tprSCaT7DlHZEkmk3GXDYp0uFwudHZ24mtf+xquu+463H///TCbzVCr1SXdNMjTrbu7e0Hm5Pf7uV0aHVxbt27FD3/4Q0gkEm4Yr9froVarEQqFWK8InGvrJ7aN6e7uxvPPP8+m0nOjCwsJ8bOlUCiwdu1a7NmzB8C5qAY9T1RoQ/MQfy6VSmH9+vUc6a1GzGd7JE53VwIHDhzAI488AovFwuMjckHPdi6XQyKR4Ep44Jx29MyZM1izZg0+8pGPcNHQXB0mXRLp8iGRSMomacnlcggGg+wCQab2mUyGxyLWltLf4oIpmi9drsqxd70d/H5/SWEaAN6HxBc++jdV91+oWK+Gt0aNAJYBFosFbW1tiEajePXVVxGLxfD1r38d/9//9//hZz/7GX7961/D5XKhqakJbrcbPp8PW7dufUuCJJFI2PZFqVTCYDAglUqVtVKQtId0q56ZmcH4+Dh0Oh2ampqg1WoxOzvLOi7yP7PZbNi0aROGhoa4jVolIJPJ2PaE9G2xWKzEeZ7GDpzbNOkGSgeC3W7HxMQER20W2gfwP//zP+FyubB371709/djcnKStUtyuRwmk4k7rohF1VRJSimue++9F/feey9WrlwJlUqFcDiMgwcPYvXq1QgEAsjlchzVNRgMuPzyyxd0XrSJp1IpFItFuN3uEtJG0RWK2NDnyTyaegDLZDIEg0GsWbMGDoeD14pWqy3bsyYmeCqVCkajEYFAgA9o8UFMFc3iCA0REZ/PB4PBAIPBUHF/yfkwNwImhlibWW6sWrUK27Ztw+TkJMbHxxEKhRAMBuH3+6FSqWCz2TiyTV2MAoEAXC4Xkskk/uqv/grXX389DAbDeSl6gtfr5WIqujiWowUcAI4O53I5GAwGHD16FC6Xq6TPOvmZUmpUbNkDnPXNO3jwINRqNVc+VzoCSJ1I6DWnPXVuxJzIoHhPFrchrKWC3xlqBHAB8PTTT+N//ud/YDKZoFarkUwmMTo6isHBQZhMJvh8PgSDQXi9XjQ1NWHx4sUIh8N8uwmFQvjYxz4Gp9N5wc2HFqpareaUErXOKgdIn1QoFPDYY4/hjjvuQGtrK/R6PadRKJJDVgOxWAxqtRrRaBSvvPIK9Hp9RQlgOp3GxMQEE2exsap4ngBKxNX0efrT2NiIN998EwAwODiIQCCwoF5ger0eKpUKVqsVV199NfuUkZZpZmaG06XhcJh7FEejURgMBixZsgQ9PT1wOp2oq6vjyGyhUMDXvvY11NfXc4RZqVRCEARoNBosXrx4weZERR5UjKJQKHDw4MGSoo9iscjRTvF7JBbg06GXyWSwaNEiNDc3Y3JyEgqFAkajsWxRZ3ExCkWPI5FICTEEzqV86Wcockhz8Pl8XMVNVcXVInYnzeiFIi/lTLnPhVwux6ZNm7BmzRpOb0YiEUSjUUxPT7MPZjQa5f3KarVizZo12Lp1K7q6umA0Gkveq7no6ekpuTBKJJIFXSNiiIm3WP8mNhmfWyUv/kPV9aFQiD02s9lsRS4ZYnJXV1eHYDDI6XVxyppseWivoNeAop1UuFPDO0eNAC4Astks9u7dC4PBALVajWLxrEEwVf7mcjk8/vjj3Hjc7/fzZhmPx7F8+XJuG3UhmEwmNuel/7Oct55iscgiZJfLhXg8DrVazYcXfY9EIuFbMvUOjUQiGBsbg1qt5krgStzYqNNCoVBAS0sLjEYj4vF4Ccmbe5sUb0p0ELe3t2PdunWIxWLo7OwsC8kQBAEWiwUWi6Xk8/l8Hl1dXUwIxeSQumLU1dXBarWe95qrVCp84AMfYNInTlVSRedCQa1WlxDRhoaGkl6zFGWhFJW48IZ+RpyyLhaLqK+vh8lkwtjYGHelIOPbhYZYx0cXHHHXBbExMX2/+FkT650kEgl3BKHfWw2goqkL9SaudCRGr9fzWiRro1wuh+7ubgSDQU55UpRZrVbDarWivb29JHV9oTncd999uPHGG0sITLn6Hour3+VyOQwGAxwOB2KxGF+UKDBAkoK5HahkMhmsVitH1UkqUkkoFIrz9t25qff5pBBi6U4N7xw1ArgA6OzshFKp5P6ddBDTLUaj0eD48ePsbUaRCzIb/fM///O3rZwrFoslvU0jkQj7QpUD9P9PT0+jubmZU9Ck3yDtmVKpRCwWQz6fZ7d68tXyer2IRCIwmUwVOSh0Oh02b96MT3/602hubsauXbswPj7O6WraaAqFAlKpVEl6hyIDyWQSXV1d6OjoQDQaxbp160rsMMoNSmv/PpBKpWhra7u4A3qHsFqtsFgs/JpT9wjS+NCtn94bscaJbC3ooAPOHv6hUAhOp5O/32g0ls2TjopngHOCdr/fz9FmMhCeL8JP30+EFkCJNrJaQKlpMQGkVoJkMVSp6P5cUGQMODvui2EGftlll/3Bv+P3hVKpRGtrK0fpLRYLR/6oyAU4Z9Mzn92VRCKBw+GAw+GA3+9HY2NjWSqY3wq0Vml8FFAQp4Lpa2Q1RqAUsDgiW8Nbo0YAFwCLFi3C1q1bEY1GEY/H4fV6uV0QpTyJ9NACpc2+ra0NH/rQh95WSxKPxzE1NcU2JESmyolsNouDBw9y1IvE1HTDJH0iiYzFnRooChIKhcrSmWE+6PV6XHvttbj22msBnCXRg4ODTKQpTSK+gYpvmHQLX7JkCdatW1f+CfwRwWq1wmQycRqqvb0d4XC4xPCVon+08YtTXMC5SAGlrKenp9HT04Pdu3dzn+dydGmgMVJREa1ltVoNtVrNRER8wSDMrR6mj1UqFSKRCJtzVwPUavV5kVjymJzvgK7h4oEkGbQHdXV1YWBggLW7dGGldTP3gkFnz6JFi7goprm5+fe+PF4siKvhxZIcivDT5+g8oaKvQqEAvV7Pe0Wlo8+XCmoEcAGg0Wi41+309DRmZmbg9XoxMTGB4eFhjI+Psx6IdE8mkwl2u521f2+H1tbWEosFlUqFlStXLtSUzoNMJkN7ezuSySQ8Hg/S6TTryYrFIlwuFyKRCIuOyU8ulUphZGQE/f39WLt2bdnG+07wwAMPQKfTYdeuXRgZGYHH40EymURTUxNaWlpw5MgRFvUbDAZYLBZ0dnZi6dKlAEr9tmr43SAWdmezWWzevJmJOBnrJhIJbmJPXRrEmz0VgUgkEpw+fRqdnZ2QyWR47LHHON2XSqXK4ktHY6EqcQD43Oc+x2lgsbZMHNkQf04cASSNVigUumDKtdwIh8OIRqPsQwqcvZjShVZcCV3DxQc9G4FAADfccAPuvPNOzMzMIBKJlEgFxAVT4nUGAJs3b8bnP/95AGd76Va6F3A2m2V9ezKZLNHNSiQStrdRKBScZSJfR41Gw2dqLRX8ziAp1l6pGv4AFAoF+P1+uN1uyGQy6HQ6KBQKhMNh1tfI5XK8/vrr0Gq16O3thV6vx44dO9DT04OtW7dWegrzwuVy4fnnn8e//uu/4qtf/Spuu+022O12bNmyBdu2bcOWLVuqosfpHwsSiQReffVV/OxnP0Mul8Nf/uVfXpR+0cPDw/j3f/93hEIhXHfddXj/+99fFmuScDiMoaEh7N+/H8lkEl/4whf+oN/3+uuvY3BwEIsWLcLy5cvLFsl8K4RCIQwMDGBmZgaXX345HA4HAODRRx9FX18f1q5di61bty5oQdS7FYVCAR6PB1/5yldQLBbxz//8z7+XRrdYLOLv/u7vMD09jeuuuw6XX345GhoaFmDE7wxvvvkmR/goY0aZNLIZM5vNsFgsHE2Xy+VwuVz42Mc+Bo1GM2+f9BrmR40A1lBDDTXUUEMNNbzLUMtX1VBDDTXUUEMNNbzLUCOANdRQQw011FBDDe8y1AhgDTXUUEMNNdRQw7sMNQJYQw011FBDDTXU8C5DjQDWUEMNNdRQQw01vMtQ8wGs4aKA/NjS6TQGBwfxxBNPoLe3F9u2bUMikcCzzz4LnU6HFStWoKur67z2PjXUQMhms9i9ezdmZ2dhtVq5nRVw1mfu8OHD+N73vodUKoWenh586lOfgs1m43ZeKpUK4XAYyWQS69evR1tbG3flqPQzJzavHhgYwFe+8hUYjUa8//3vRzgcxtGjR2G1WrF582asX7++6tfJSy+9hH/6p3/C4cOH2bPN4XDg7rvvxn333Yfly5fz91brXPL5PF577TX89Kc/RT6fh8lkYlP7T3ziE1ixYsWCtkH8Q0E2ME899RSGh4cBnDW5Jx89qVSKYrHIBulkTF4oFHDjjTfi61//Opso1/DuQs0GpkI4cuQI+vv74ff7uVF5KpWCIAhQKBQlrXvoLdJoNNyrcv369TCbzVVntHrixAns2bMHdXV1uOKKK2C1Wtkr8OjRo5DJZFizZg2MRmPVHghvh6GhIfT19WF2dhabN2/Gpk2bKj2kPxrk83n4/X68+uqrbABN5s5knhyPx5HNZiGTyVAsFqHVankd0Pdks1k2jt6yZQtMJlMFZ3UO9MwfOHAA27dvh06nw5133om6ujrkcjlEo1H85je/QbFYxF133YXm5mb20qw2xONx7NixA7/61a/gdrvR19cHvV6P97znPTAYDNi6dSvvU9WIdDqN6elpNgkfHBzEv/zLvyAUCsHv92Pbtm345Cc/Cb1eD6VSiYaGhrft0FRO5PN59Pf34+///u8xNDTEfYCpPzAApFIpNk1XKBTcao06hKjVanR2duIzn/kMNm3aVJY+5jVUD6pvV/kjRiaTwSuvvILt27djZmYG4XCYDwQyrqQ+utTIm3qGAme7fZDZ8vPPP4/169fjyiuv5L6plQJ1wAgEAvD7/VCr1diwYQM3RpdKpbDb7Whvb4fH48Hk5CSMRiM3JK9GiDsynDx5Env27IFer8eyZcvw0ksv4ZVXXkEqlcKJEyfw4x//GMuWLcMnPvGJ8w6IS5XkVgq5XA7hcJhd/nO5HARBKCF4giAgnU4jmUzyWpHJZNyFhVoNarVaBINBbp9W6S4t9CxMTU1henoadrsd1113Hdra2rjdldFoxHXXXYeBgQEcPXoUjY2NHMGp5HNEvb+HhobgcrmQSCQQi8UwOzsLlUqF3t5e2O12mEwmOJ1OeDwe7NixA4ODg3A4HLDb7WhubkZHR0dF34dCoQC3242ZmRkkk0kkEgnI5XKkUil4PB6YTCb4/X6sXr0a6XQaL774Inp6emC32zEzMwOdTgen01nRft+EVCqFJ554AocOHeLAAV2UiABSq7653WYkEgl/rb+/H4899hgWLVpUI4DvMtQIYJkQjUaxe/du/PCHP8SBAwe4ibcgCBAEASqVCjqdDrlcDslksqSROt3WqLOGx+PBqVOnMDo6CqVSCb1eD7PZzE2zyw3aWLxeL6LRKOrq6ubdIJ1OJ5LJZEkLu2qEOCiey+UwNDSEvXv3IpFIYP/+/dwObmZmBoFAAG63G4ODg9BoNLjjjjuY+F6qqGTEqVAoIJlMlvz/dEGig0sulyMUCsHn80Gv15/X2q1YLCKdTkOv1/Paoe4AlQKlfgOBAPbt24doNIotW7agu7u7JNqfz+exZMkS5HI57N69Gy+99BJuuOGGira2ymaz8Hg82LVrFyYnJxEMBrlnMwB+D3Q6HaxWK2KxGARBQDgcRigUwuTkJAwGA5xOJ0ZHR7Fq1SpYLJay71XpdBqTk5NwuVwIhUIoFotQKpVIpVKYnJzE+Pg4enp60NHRgfXr12NqagrBYBDJZBLFYhGJRALJZBLRaBQA4HA4KkbKKRL++uuvc6tNuuhQO0VxH2aKDFJvXWoVRxfW/fv348SJE7BYLBXvB1xD+VAjgGWCy+XCf/7nf+KVV17BkiVLoFQqOVUlbnItk8mQTqeRSqUgk8mg0Wg4BUY9EDUaDTKZDAYGBvDGG2+gqakJGzdurHj/w0gkgmw2i7q6OgDn98bVaDRQKBTcy7TSEZkLYe6mnsvlYDKZcOLECezYsQN/8zd/g2XLluE//uM/kM1m0d3djWAwiH/4h39Ac3MzVq5cCY1Gwz1gKw1qDp/JZPg5i8Vi/DH9LX7+uru7odPpSnqIlgNE2OZGLMR/lEolbDYbAECtVkOpVPLBB4B70dJBSHou8YFYbtD/f/jwYfT19aGrqwvLly/nNUJ9c7PZLIrFIqxWK7RaLR599FEsXboUTU1NFWlyT5G/3bt347nnnoPRaGSyp1QqIZfLUSgUEIvFOJqWzWZhNpthNpv52QuHw5iZmcGePXuQTqexZcuWshKNfD6PQCCAY8eOQRAE2Gw2yOVyKJVK+Hw+KBQKNDQ0wG63o7OzE3V1dfB4PPD5fDCZTLBarZDL5YjFYpienkahUIDJZKpYSjibzXIkU6fTIZ1OQxAEmM1mbhOXy+X4PcrlchxAMBqNLDmYnZ2FQqFAPB7Hrl270N7efkkTQJ/PBwCctq/hrVEjgGVALpeD2+3G4cOH0dbWhlgshnQ6zTf/YrHI/Q+Bs4dtJpNBOBzmA44OtUwmg3Q6zangEydO4ODBg9i0aVPFojZE5IrFIgwGA5qamub9PvG86N/VDLopOxwOpFIpBAIBbNiwAatXr8bQ0BAGBwehVCrR2trKUY+XXnoJw8PDWLRoEVauXAmDwcAFCOUGEYZgMIiBgQGMjY2xNu7gwYN80YjH44jH40gmkzAYDCgWi/ja176GtWvXQq1WAygvAUwmk0zoSNMnk8lYIpHP56FQKOBwOPjgI7kEXaikUilH/pLJJDeYrwRo/JlMBtu3b4dKpUJPTw+PWfx80FwaGxuxceNGvPzyy/iP//gPfPWrX60IiU2n0xgfH8dLL72E7u5uKJVK5HI53rMosqpWq3kfIMJB+5sgCLBarbBarUilUnjqqafQ1tbGl9tyIBKJYHZ2FoIgoKWlpaRfbENDA7q7u6FWqxEKhRCJRJBIJGCz2dDS0oJsNotkMol0Og2FQoGuri6Mjo4iFAoxkSw3YrEYDh06hHg8DpVKhVAohDvvvBNXXnklLBYLxsfHsX//fixatAh2ux1+vx/79++HwWDA+vXrsXLlSkxNTeELX/gCX5ROnTrFBOpSA10cn376achkMmzevBldXV2VHlbVo0YAy4CjR4/i5z//OQRBgFKpRDAYRD6fh0qlglQqRS6XK9Ep6XQ6SKVSxGIxhEIh1jnpdDomgBT2D4VCCAQCFZ0fkYNMJgOZTAaDwVDyeTGIgBAqrW26ECj6RJWllJJ/8MEHsXLlSvT396O+vh6f//zn8eabb+LUqVO47rrrYLPZcOzYMfz2t7+F1WrF+973Ptxxxx0VmQM9TxMTE3jiiSfw4osvoqGhAU6nE263G3a7HWazGQ6HA3q9Hj09PQgEAnjqqafg9XqRy+XK/t4QKSJ9aDab5bSVXC6HVCrlSB/NjyKXUqkU2WwWsVgMSqUSsVgMBoOBo5+VQj6fh1wux44dOyCRSHDDDTdgy5YtAHBBAlQsFtHa2oovfvGLuO+++3D//fejvb2dSXG5oudTU1M4ePAgtFotk2uZTMbFBAC4qID2pFQqxSlGIoFEzjUaDdRqNXbu3AmVSlW2Q5ouOw0NDXyxy2QykMvlyGQyiMfjkEgkSCQSUKvVMBqNiMfjiMVikMlk/Ac4+35qNBpMTExAr9dXhAAGAgG88MILAM7uqZlMBh0dHTh69ChmZ2dht9vR1NSEXbt2QS6Xo6mpCffddx/8fj9efvllPPHEE/jiF7/IEX+FQoGRkZGKnyVvB3qeiLwD4Ijnb3/7W+zZswf19fUl1ec1XBg1ArhAoEMpk8ng2LFjePrppyEIAlcvAmCtE22oJFinzxE5ojB+MpnkqAZtYul0Gi6XC6Ojo2hvb6/wrMHaxgtBo9HAbDYjk8lULDL2TkGvcWNjI1588UWYTCYcOnQIO3bsgFKpxFNPPQWHw4GHH34YKpUKer0eLpcLxWIRTqcT+Xwejz32WMUIIG2Sa9euxZo1a972+yUSCfL5PJ577jlMTEwglUqVPR1EqVCNRoNYLAatVotCocBp3Lm6MYoMEjkhogiA012U4q4UaDy/+MUvcP/992PFihX8tfkItphQdXZ24mMf+xj+5m/+Bo8++mhJpK0cSCQSCIVC0Ol0MJlMSCaT/FqLD+BCoYBEIlFSgCCWpIitfAwGAyYmJhAMBss2D4py5XI55HI5NDQ0lIyLSLVCoYDH40EymYROp2OiS4UUMpkM8XicI5yVkt2Ew2Hs3LkTSqUS2WwWSqUSDz30ED74wQ/itttuQyAQwOjoKJ5++mmsW7cOzz77LA4dOoStW7firrvuQi6Xw9e//nW+LCmVykuCAM6nG00mk/jP//xPjI+Pw263473vfS+6u7sBVG+AoVpQI4ALALEAd3R0FGNjY5z+FAQBsViMNxZKUUmlUixbtgwdHR0oFouIRqNQKpWIRCKYnp6Gx+OBWq1mwTsdlBKJBC6XC4cPH644AZyamuKxXQjhcBgjIyPweDwXTBVXEyiqcebMGXz5y19mjVY6ncbOnTsxPT2NSCQCvV4Pk8kEhULBh0U2m62oDlBMFN5uEywWi8hkMnjxxRcRCATQ19eH22+/HQ6Hgw/JchEPqlB0u90cgaX/u1AoQC6X82UKQElUUCqVQqVSsa2S0WjkKGK5QdFMuVyORx99FGfOnGHtXD6f5/eEyBTNgz6meX7sYx/DU089hSeffBK33HILTCZT2Qq+4vE4XC4XR8kcDsd5ES86ZDUaTcn7RDpO+pPL5TA+Ps5p7kQicV6xwkKBLHZkMhmMRiNHhOk1F1f9KxQKKJVKJn70PtGFamZmhn+mEs9VKpVCJBKBSqViDa9cLofb7caRI0c4MDAwMIBPfvKTGBwcxJYtW6BUKlm/GIvFsH//fnR0dCAUCkGpVKKuro6lLhaLpezzeifYuXMn4vE4Jicn+YLndrsxNDQEm82GL37xizCbzfy+VqvOvFpQI4ALAPEGuX//fuzcuZPTURTtIxDBICQSCcTjcQDnDmXxAUERDtIV6XQ6zM7O4mc/+xmi0Sg+8pGPLOjc3u5GJfagmu/7iBhRGrhab2fi9JbJZMKtt96KgYEBtLW1oaWlBSdOnMArr7zCujSLxQKTycRaOuCsBYMgCEilUlXhHyZ+7+Z+TAf0qVOnkE6nEY1G+XAr13tEBypZvWSzWYRCIajVak7BUWqRNnY6lOnzNA+/3w+3241169ax5KLcEEfDtm/fjm984xvo7Ow8j7gRARLbQYmh0Wjw9a9/Hd/61rdK7JUWGplMBolEgr3kZmdnYTAYYDAYzkup01zFkT4xZDIZnE4njh07hubmZkgkEni9Xvj9/rJYqtC+lEgkoNPpWH6TSqVKyFwqlYJarYZCoUAymWTvPCIUuVwOkUiEtbGVwP79+/HQQw9xuprGZbVaoVQqoVarsWrVKrzvfe/DN77xDaxcuRKTk5P4zGc+A4VCgfHxcRw6dAg6nY61kAqFAtlsFvv27UNnZyduuummis1PjGQyieHhYUxMTMDj8bCOMRwOIxgMQiKRwGq1QiKRoKOjoyQlL95PakRwftQI4AJAIpHg4YcfRiQSwfj4eIkIPRqNsoYPAFfR5XI5jIyMYGJiglNAwLmHmG7MVAUJoETDIpfLy5JSfSsy8E6IApFaslKoVogJkiAI2LRpE7+nRqMR09PTmJ2dxZIlS5DNZlFfX4+WlhaMjY3xoZLNZuH3+xGNRquCAIrfn/k+zufz3ElAo9GUEJVykMBcLod4PI5oNAqbzcYkg6KP9EeMuSRWJpNBrVbD7/dzSpLSluWEOPJ15swZFItFNDQ0YHZ2FrlcDgaDAXa7HQBw+vRphEIhJqkOhwNGo5GjVgDQ2tqKZDKJkydPwmq1chX0QiIUCrEGWS6XY3p6GgaDAatWreIIHxHWuelecUV2oVCASqXC5OQkpxwp80GXpYUEWdbQGnS73fB4PFiyZAmPV1xkR5mabDbL5IHei2g0Cr/fj7a2tpLIYTlht9uZ1I2PjyOdTqNYLMJisaBQKECv12Px4sVoaGiAWq3G4sWL0dfXx89VIBBAoVDgohzqFiKVSln3WC2Ix+M4cuQIJiYm4Pf7MTMzg1Qqxa97Pp9HIpFAIpHAxo0b57WPquHCqBHABcITTzzBkYpUKnWeCzttquIK2kQiwa2I0uk0MpkMawCJ9KXTaWSzWf5d9PtCoRBOnjy5YPMpFAqYnJzkKjGaG23+crmcja2PHDlynkCcCNXY2BhCoRAGBwchCAJHN2mxSqVSGAyGippbizd1Mu8+efIkEokEDh8+XNKpJRQKQaVSMXGh14Q2Iq/Xi3Q6XZF5/C4gOcLY2BgAQKvVln3zLBQKSKfTCIfDMJvNGB8fh16vR0tLS0nEj8ZLoGeLPkcEMBaLcfUm6QPLGXGWSCRs1qtQKPDqq68iHA4jn88zASR5QSQS4Yugw+GAwWBAOp2Gz+dDoVBAa2srFAoFDhw4gM7OzrIQQI/Hg9nZWfZUDIfDbB9EaXVxNHYuGaLKTABQKpU4ePAgOx0kEgkEg8GykA0aK12Qp6enMT4+jpaWFjZDJm0g+etRazQigUQSqUtIV1cXZDJZyd5WLrS2tmLbtm0wGo3YuXMn+vr6+JKkVCoRCATwxhtvoLm5GU6nE/F4HHK5HK+++ioKhQIikQgXFQJAe3s76urqsHjxYvT29lZF9Sw9S5TlslgsaGtrQ319PbRaLRQKBWQyGVKpFAYHB+H1ejltL/4dsVgMk5OT0Ov1aG5urtR0qhY1ArhAiEajMBqNCIfDrD2hCt9EIgFBECCXyzltIpVKWd9nsViQz+dLDi6K8BExlMvlMJlMLGwOh8P4n//5H3z4wx9GT0/PRZ+P3+/Hvn37MDg4yKSUnOfpdh2LxZgwAecOaarqlEgkiMVi3M91ZmaGN14qfFEoFGhsbGQftEqBNJunT5/GP/7jP+LAgQNYsmQJkskkzyuVSmF0dBQqlQpDQ0M4fPgw6uvr2V+MyH+5o0+/C8Tap1AohNnZWQAoaa8mroheSIifl9nZWUxNTaGhoaGE3NHH8xFAsVm0QqFgEki/k3w0Fxri1yuVSuEXv/gF2tvbucWbWFum0+m4kwmRjNHRUdaZhkIh5HI5NnofGBiA1+td8DkA4Iuq0WiE3W5Hd3c3ent7kUqlOOp0oW4+YlKlUCigUCgwPDyMrVu3oqGhAaFQCBqNpizEiaKQ4uK7SCQybxGHWGIgCALi8TgymQy0Wi2MRiMmJycRCoX4GSOJTjnteTQaDZYtW4bFixdj06ZN+OlPf4pIJIK+vj5YLBYEAgFs374dLS0t6OjowI4dO9Da2oqnnnoKk5OT6OzsxOrVqyGVStHW1oYbbrgBdXV12Lp1KxwOR1V0Z6L3Ra/X4/LLL0cgEEBPTw/8fj8KhQL3NA4EAvj1r3+NiYkJHD9+HIsXL+YMUywWw8zMDPbv34+lS5fWCOA8qBHABcKaNWvwyiuvoKWlBY2NjThy5Ai0Wi3fpjOZTIlnGW0gqVQKfr+fI4REniiFTOSLDjQih1arFWazGd/85jfxyCOPXPT57N69GyMjI5BIJFyZKb49SyQSWCwWTvHSzZmsYWhBq9Vq5HI5uFwuqFQqriwkewkShh89ehSbN2++6PN4O5AmJpvNYnh4GD/4wQ8wOjqKpUuXQhAEJJNJjnzQ/Ck173a7YbPZYLVaeXPKZDKYmJioeIHO2yEWi+Hw4cMcxRQTQAAlHWoWymCVnmWTyYQjR45g6dKl2LBhA6fnVCrVeeQPAFvBUCQqEong2muvhcvlQjqdLrFaKjcBBMA+cg6Hg6PclB5Wq9UwGAwlewEAXl8qlYqjTKlUCqlUqmyehsuWLUNbWxunp2+++WY0NjbiW9/6Fus0xZpfsn2h/YpS8rRujEYjfvSjH7FZtDh6uJAQR5OKxSLGx8fR1dUFnU7HF1OZTMZjtlqtJdYvNE5qIxeJRDh7E4vFoNfrK2IyLpfLsW7dOqxbtw4HDx7E5z//echkMixfvhwqlQo7duxAOBzG0aNHcfXVV6O3txcdHR0QBAHBYBC5XA5dXV34/Oc/X3Et9nxRVPqc3W5nucRc/avJZMK1116LEydOYHJyEpFIBBMTE9i/fz9Onz6NSCQCnU6HZcuWlW0ulxJqBHABkMvlsGvXLgDApz71KXi9Xuzbt48LBuRyOYxGI2KxWEmFIgl6SYei1WpZL0OGvdQyLpVKcTQqFAqhvr4eDz30EFwu14LMad++fQiFQmhoaOAqPtoExYcqHQx0GJC4WKPRQKPRYHBwEM888wwGBgawdOlStLW1YeXKlSzKzmQy8Hg8ePzxxytCAIn07N27F9/97nfx7LPP4oorruBbpVarZcJLUVCpVIqBgQGuLgyHw5iYmMDExASMRiOee+45XHXVVWWfyzsBbbqRSAS7d+/mw5usLorFIiKRCA4ePIhHHnkEt9xyCz74wQ8uyFjy+TxHS6kf6/r163Ho0CEWc88tMqBnjEgVfV9TUxMSiQQT2kpFYqmISK/XczRJoVBAq9VCr9ezTQ1FMJPJJHfVoEi/TqfjdmRerxeBQADpdHrBOx2QHIN8PQGw+TORcXpexORPTKqIvGYymZL2b+UkTNlslmUzdrsdHo8H9fX1bKw9NxKYTqe5wpaIIXA28pbL5UoKk8QRwkqAqqjT6TTUajUmJyeRSCTgcrkQj8fR0dGBD37wg/jBD36Aa6+9luUVS5cuhd1ux/T0NACUVNGXG/PpKL1eL4LBIARBgNPpLHG/EP+MIAhoamrCqlWroFar8c///M9wu90Ih8N8YbXb7XA4HOWb0CWEGgFcAGQyGczMzKCtra2kkwLd5qPRKOv7SGdChxOlQROJBG/ydBOin9FoNLzJAmcJZywWg8fjwbFjx7B169aLOp9CoYDOzk5MTEyU3IbFXmBzox6UcqH0iFQqxRNPPIEdO3awx5bb7YbL5cK6dev4gKM533777Rd1Dr8Lfv7zn+NHP/oRTpw4gZtuugmjo6PcISMej8NkMsHn8yGVSuFHP/oR1q5di3/5l3/Bl7/8ZVgsFqTTaVgsFjQ3N2NkZOSSECInk0mMjY1BrVZDq9ViYmICL774Io4ePYqjR4/y80gGxgsBeqYoIm4ymThSQWRnvkgBPY9iPZYgCFi+fDlisRhHespVCSweXz6fLynWIk9DMqx2u92sCSSLGGrBJ17309PTnDIeHh7GwMAAVq5cueBzERNuqVTKRSHz2b2I1774b/odixYtKvm95Yo6UTu6XC4Hm80GqVSK0dHRkkglIZ/PY3x8HK2trXA4HJzCpihmIBCAz+eDRqPhyG4lu8zQ+0Cm7jMzMzAajbjttttQX1+Pu+66Cx//+Mfx8Y9/nAsSJRIJxsfH2SJJ/HsqgbnPwfPPP4/Tp09zFmlqagqhUAi9vb3YuHEjVq1axfrFXC6HmZkZbN++HXq9Hk6nk+UJtHYymcwlsQdXAjUCuAAgfcLatWtRX18Pr9cLo9HIaSCqBFQqlWwVQno/AEwUqVJOLpdzBC0Wi/HNyGAwcIi7t7cXkUgEP/rRj/C5z33uos5n586dcDgcyGazCAaDHImk4gZK9YgtLEgfRL5spIXM5/PcWYMIFXU3obm2t7dj48aNF3UO7xTf/va38ZOf/ATBYBAdHR2Ynp6G2WzG6OgoGhsbuV3alVdeCa1Wi3vvvReDg4P4zGc+g927d+Pll1+G0+lEZ2cnstkswuEw316rGSTsb29vh0qlwujoKP72b/8WarUaZrOZI88LGemgKkxKKdrtdgSDQSaElOq9EEiOQNIISq1ShLoSBzWtAyqyEQQBRqORDXypJaREIuFCEIqgEygaSKTwwIEDaGxsLAsBpEsqkSRx6pbWN/mREtGbWxUMnCVWjY2NJb+3nEgmk0gkEmhqaoLT6eRLApEFuVzOUoPu7m7IZDJEo1F+FqliuampiX1ciUwR0a0ExIVP2WwW69atg8PhwGuvvYaTJ0/Cbrfj6NGj+OAHP4hXX30V8Xgct956Ky6//HI8+uijMJlMFRv7XIh9SJ1OJ2QyGcLhMBKJBDQaDaampvDf//3fePjhh1FfX4/W1lYolUrs378ffr8f3/nOd1AoFPDP//zPmJycBAA2KL8UCvEqgRoBXCDYbDZEIhHE43Emen6/Hw6HA2q1uiQyQEUgdFOlzwFgIkjpCEoVUeorkUhgxYoVuOWWW7B9+/YFiXIcO3YMl112GZLJJHw+H7LZLPR6PRtYi6N/YgsIAvlmkVFyMplkPQ6ls2nOFOUoV3slcSTiwx/+MA4cOABBENDa2gqZTIZIJIJMJsMEaHh4GCtXrsQ111yDuro6uN1uXH755di9eze+8Y1v4JOf/CRHG9xuN4rFYlUXgRCIoAwMDPAtWqPRsAwBOFvxLG7jd7FBzz89U9T6EDgXaQLmTxmJozkKhQKRSAQ2mw2pVGrewpGFhHh84iInMugNBALQarUwGAysI6XxUzpSHMGgj+k5IoF7JUAkWhw5oz1JXKhDoM+TwXIlQO89yTPa29v5eafXmvZZ0vzpdDruikHRI4VCgUWLFqGuro7lBpXuMkMgAkvdopLJJMbHx3HttddifHwcP/jBD1h6VCwWkUwm4XK5Ku62QGcfABw4cIDXOwUMyFlCXPgRDAZZW51IJCCTyfD9738fjY2NOHnyJLxeL1/86Hmt9q5TlUItLrpAuP/++zE+Po4TJ04glUrBYrFwxRg5zZM2hjYesb8fcM68VCwAJ/uXXC6HRCLBZf+vvPIKdu3atSALmhYccO6gpQiFOOJHRFV8WBcKBSSTSRQKBVgsFjgcDha3NzU1sY8eFb1QNXA5IE6jv/7663j55ZdRLBY5AlsoFKDValEsFmE2mxGLxXDjjTciHA7jzTffhEwmwwc+8AHk83k88MADcDgc+MhHPoLm5mbWocjl8gVNm84FHcq0ac4lS3P/HQwG8corr+Chhx7C4OAgNm3ahC9+8YswGo0QBKEkxUda1IUCaQCJUBiNRo6O0UE7V3IgTv/S80fpuvr6ev5eIlflBB3IVPFPRSikoSXpB0XAxa3KxLo0sscBzpK/1atXY8OGDWWdC73u4uI1ceW1mAjN1WnS81OJnrn0/xOxc7lccDgcaG5u5tdZvE6kUimCwSCKxeJ53WYEQUBzczPa2tqYmNPPVxp0VgwNDSEej2PdunVQqVRcvSyRnO2os2TJEuh0Ohw7dgyRSGTey1Q5IH690+k0Hn/8cfT19cHj8SCfz7PnIj1LKpWKz5G5cpwPfehD6O3thVwuRyqV4mwBcM6urEYA50eNAC4Qtm3bhvr6evT19WHfvn0AzgpWaeMQBIEPNvpD5IdIoSAI/DBTdIQ0glKpFIlEAnK5HIFAALt374bL5VqQJth2u/08y4a5aR86fOf+oQM9m83CZDKhvb0d3d3dWLRoETo7O7k0n34fUD49ChHpo0eP4te//jU0Gg3q6uq4oT0ZCUskEk7/3HPPPdi4cSMmJyfxzDPPoLm5GZ/61Kfw4osvYufOnaxrLBQKWL9+PT760Y9i3bp1CzqPuQfuO4XX68Vrr72GZ555BpOTk7jpppvwkY98BHfddVcJAZm7WS8UxFE8igRThEAcXRa3fhOnG8W61HQ6XdK2TKyzXWjQ+0EFAwaDgaP19DyJTYfT6TQTQHEVLa0hSmsXCgUolUqsXbu2YlWNRADFqV/xnOd+LL5A0J5XblBUWKVSwefzcZGQ+FkTRzPJrJ8yNeLvM5lM3D6tUkbQ84GK0rxeLyYnJ6HRaHD99dfj9OnTfJ7Y7XYsX74cSqUShw8f5nVSqfFKJBLE43EcPHgQzz77LNxuN6drE4kEt3OkdD1FOcleyWw246qrrsKmTZv48iHu3kL/Tw0XRi0FvEBoamrCli1b8MQTT2B8fBwKhYIPNGo3RNE9uj2TAJ6IExE9qqaj6IC4ypb+zmQyUCqVCxJtWrFiBRobG+FyuUpImniTn08ETnMhAbxKpUJLSwucTmdJux6xIbbYVmIhkUqlEAwGMTMzgyeeeAJ9fX1YtGhRSbSF0pESiYTT9/X19Vi9ejWeffZZ/PrXv0ZTUxM+/vGPo6+vD4888ghGR0chk8lwxRVX4L3vfe+CvB/iHpdzX3uJRILp6WlMT0+jvr4edru9pAsJfV88Hsebb76JZ555Bvl8Hvfccw/uvvtursT2+Xzs3yYuSCgHASTSoFAo+GJEzwSlU+dGXShqTD+fzWZRV1fH1Zzl7Acs1sv5fD4YjUaWPmg0Go7ip1KpeSt5xcVdRAzp91mtVtjt9opVndLrK77Azh23ODImPoArFYWhCJBCoWBdX319Pfr7+0uiRcA5F4NMJsNSFHr9aZ9qa2vjfrlii6tqwcDAAAqFAm6++WYcO3YM8XgcxWIRS5YsgVarxdjYGMbHx9m7lVDOwhz6/wKBAHbu3AmLxYLW1laYzWaEw2Eunkyn0yypIU2vx+OBWq3G6tWrcfXVV3M0nSQ7wLn9gNZ+NURpqxE1AriAoIo/sk3I5XJQq9UldhAymYzNnSk9rNfrEY1GWd9A6VGZTFayYCm8TVHFRYsW4dZbb73o86AWQkQkaEMUR/8oUiNOParV6hLSIL5tUypRqVQyAZbL5VCpVAtqb1EsnvXt6+/vx4svvogXXngBoVAI7e3tbMNBBxVFYwuFAsxmM37wgx9AIpHgT/7kT3DnnXeioaEBDzzwAG677Tbcdddd+NM//VN89rOfxZ133omWlhaeVywWu6jN1cUHrdj+hNKJjzzyCL773e/iYx/7GD7wgQ9g2bJlJa8pFRI8+uijaGtrw/vf/35ceeWV/HUyg6ZIG1lovF0Rxh+KuVWZVEVOmzm9njSuuZXnAPhZzOVy0Ov17C2p0+nKbnBLrQC1Wi0XHFAVfzab5Yg+7Q20dui1JtkHAPamjMVi3AqrUtENcWGI2H9xvvQ8XaAoo1Ep0FioKxMVZonJLI29vr6enzWj0YhQKMQkIhKJoKGhASdOnIDZbC4xS69ktImixXK5HKFQiCUqDz30EL71rW/hxhtvxKJFi/C9730Pu3fvhtPpZBkRoRzjF69ZisrX19fjE5/4BK/VPXv2YMmSJejq6kI4HMb3vvc91vTabDb4/X7cc889uP766/kZpLGTTEqj0fBeL95DaihFjQAuIH7zm99Ao9Hg/vvvh0QiwTe/+U10d3fD5/OVNFMXp0wymQxbcdDmL+4sAZyLglgsFoRCITidTtxxxx34whe+sCDzoMVFBQHkxi4+bOdu9qRvFH8ftSoSa7bo+8XtmqjEfyHg9Xrx7W9/G0899RQAoKenh6t76aYskUg4ykTzEwQBq1atwiOPPIKBgQF8+tOfxhVXXIEvfelL+H//7/9hy5Yt6O/vZ9/DSCSCZDIJtVp9UckfcK5ggza1WCyG4eFh7Ny5E4cOHYJSqcT69evx8MMPY//+/fjkJz+JD33oQ/w+BoNBfPnLX8aKFSvw0Y9+FGvXrmX/SZVKxdWo5OUmFvgvZARQHMlWqVRshE5RYoqIEYHKZrNc/UjRKBK4i8cpHn85QXZQ2WyWCz7S6TQEQYBWq4XJZEIoFCoZq0QiYTN0amVHZsqCIMDv98Pj8SAajZb485ULdAkg8iqWrxAos0Hre6EvDm8HWisajabkwpzNZvk5ozlIJBJO24dCIVgsFlgsFu4nrdfr0djYiJdeeglLly7lKHW5usxcCOKoq06ng0KhwMDAADZt2oTrrrsOy5cvh0Ry1sSfyBG9NuWEeB0Wi0Xo9Xpcdtll6Ovrw/T0NCYnJ7Fz507ccccdaG9vR09PD77zne/g5MmT2L59OyYmJvCBD3wAmzdvZt9csW5cXJAkjsSLz9sazqFGABcQKpUKixYtwqpVqzA+Po5C4Wy7LQCs+wHO3agBsNCV0l7UEk58gy4UCmzFkkwmcdNNN+Ev//IvASzMTZQ0iHq9HhqNhiOY4go6caEAADZYJRJI6WuJ5FwLJbHGiX6PUqlcMGuCiYkJfPnLX8bo6Cja29vZhDcejyOdTnM0lsisWq2GXq9nE+54PI7W1lbs378fZrMZq1evxv3338+veSqVgtvthkwmg1qths1mW7B0Nm14LpcLL774Il566SU0NzdjxYoVmJ6ehlqtxrJlyzA4OIi/+7u/w/DwMB588EEUCgVs27YNra2t+Iu/+At0dnYCAJNz4CxBbGxs5KgHRRmJgC0UxKlPSpVS2pRS89RWkdJB6XSa2yQC4EpPMlmnw510dOVEJpNBKBRiu5ZQKAS73c4kgyIVdNET7wPUEcVkMrEGlUTvJpNpwU2gLwS6FMjlci4SIqInfv/ouZmr0awEaHziS4UgCFAqlZwCFlsHHTt2DCqVivcpQRCgVqtZx+hwODAyMsI/n8lkOLJYKcwtSKH1fOONN+L111+HRqNBa2srisUiryexlKQc8Hq9mJ2dhcFggEajQX9/P7Zv347h4WG216LUeywWw9DQEPfyfeaZZ3D06FF8/OMfx9VXX82X6rkRWDJZJ2KuUChgtVov+iX8jwU1AriA+MUvfoEHH3wQf/mXf4lcLger1Qq3280RHLG4mDZPcTcE0gym02k+AKkqNZFIsDaCBOVkKXGxCaBCoUAwGOS2VdTejW7MZLFA4xQfBHQY0NzEC1WhUJTY29D/ZTQaL+r4CQ8//DD27NkDhULBVWRickNea6lUCtFolIkhRaUWLVqEO++8E9dffz16enqgVCoRDoe5I4BOp4PVamUCWQ6MjIygv7+frQ+OHDnCVdsymQz19fWor6+HxWKBy+XClVdeiba2Nnzzm9+E0+ks+V303gQCgRJtE2lOqXp1oUD6T9LIUjRMqVSyFCKbzcLtdnPEktaATqeDRqPhCKw4lU/R5XJrtUh7ZjKZuF2gVCqFXq8HcC5tJ06p0h+KQlPakua7ePFiOByOihFASvlSVI8ufGKiR6Dx035WySggVQIbjUaMjIwAKI2kE5Hz+Xxobm5GXV0dX3Lp4krPo3jeF6q2LzeoDzulgQHA7XZz71/KyNAzSO9fMBgs2xj37duH06dPlxRJaTQadHd3Azh7YaI07/j4OB5//HEUi0VEo1GYzWZ88YtfZP/VuSD51JtvvokDBw7wPAOBAGZnZ9Hc3HzR/XH/GFAjgAsIg8EAp9MJrVYLn8/HqU1aoGQFQ5sIVddptVrE43GEw+ESywiKBOh0OqjVaiSTSahUKq4yBBamgtZms2F4eLiE2IiLVUi/SLdo8aYPnCMWRCrEhFd88FEF2EKRp0984hMwmUx46aWXMDAwwKlOGhMd2CqVCjabDatWrUJnZydaWlqwceNGjuqR9kfcl9VsNpcUsywkpqam8Pd///dIJpMAgEAggGAwiGAwiNHRUZYMUBQ5mUxi586deOyxx6BQKPAv//Iv3Jd2PsjlcsTjcWSzWUSjUY5QpdNp1NXVLdi86FAQ98SlQ83v9zMRB85GKSkFSZG2fD7PZtWBQIALWMpt1UFj12g0WLRoEZ5//nl0dXVxtILS12I9FD2HcytogXNp91wuh87OTthstrLNZS7EJE7c01gcKRan5aqBHImLVcTSDpI30EW8WCzC5/Ox6X0qleKWd2L7LblcDqfTiampKTQ1NQGY35uynKBLAnAuSkt6anF6VGyGToS2XLj88suxZs0a5PN5hMNhlskQCafoPckdOjo6uF1id3c3rFYr96GfK+ugOd54441ob2+HXC7nvvPJZBLXXHNN2eZ5KaFGABcYVqsVdXV1CIVCvJGII2dizzyKfqhUKo5G0e1UpVIxqaLKwFAohLVr16K3t5c334XQOlGxCpFTs9nM6WixhYWYTIkPAvLVo/mLDVjF36/RaGCxWBYkAki9SG+//XYsX74cbrebU+tUkCOOdNE86U9jYyNrn4jsUnGPIAhlTf8YDAZcf/31CIfDUCqVbKeQTCYxMzMDn8/HBtbAWSJiNpuxZMkSrFy5EkuWLHnL379y5UqsWrWKxfFUGalUKnHZZZct2LzEXn40djJOpgiguKsHHWhiCYHYn40q6OkwL5cOiAigTqfD+vXrMTs7y1o+8aWBnrcLkVPxeiJC1dTUVBHtH0GssZrbf5neA0qrinWk4raRlRgzuSWQdpIu1PQMkc5Up9MhGAxyypguI/Q7KCXsdDq5fWU1aszo/RFDTFLpvRHrrRe6kIX20mKxCLvdXlLhTmdhPB7nSxt1kVKr1SVnwnyaXprrmjVrsGjRohI3iUKhUNFLUzWjRgAXCLSYlEolpxyJONDGQt8nDolT+oqiO5TKo42KdGpKpRKLFy/GDTfcgDVr1iz4fCwWC7dyk0gkcLvdmJqa4rJ7IrUUJaSbtbhakEDRQ/HNmqI7JpNpwYpAKJXQ0NDAN2Nxlau4UkxMRqiSmYiJmIwQOS4nDAYDbrnlFn5GaMNMp9OIx+OYnZ1FKBTiqIBEIoFer8fSpUvZd3E+0Kba3NyMu+++m59dIscajYYjHgsFelbE6SqKnpMkQkyIaE3Q/KkTAqVc6WARSxHKgUQiAb/fj0QigfXr13OXHr/fz88PVdXTfIBzEba5lc70mmg0mopW0xK5E1f+0nNDkRlxpF9cfVupSkwiA1SRL+46RF+nf1PVL70ntIfRnMhuxGQycaRq7v5WqTnOJz2h1DeA8+YMoMQiqlwgcj3f/22329/Rz1/oc1arFVar9Q8f5LsENQK4QKDFZjAYYLPZ2HaAQt7ixUjkjzb7ZDJZUvULnF2wOp0OZrOZU8vXXnstrrrqKu7+sZC3Nyq/DwQCSCaTmJiYgMvlQiqVglarhVqt5sOBopwkxA0EAiVjEx8awLmUOEUZF6JwgiJHwWAQ6XSaqzLp/6X3gEAHLn2Obp1kMlrOjiXzgYjZfKDCjt8V4vfkpptu+r1+xx8CsXaU1kJTUxNGRkY4ykLPzlzLIXq/4vE4gsEgbDYbE2PS25brkA6FQjh16hT2798Pj8eDVatWob+/n21d6BlXKBSw2WzQ6XT8fBFhF1+cxOREp9NVnADS2MRRP3ERl7gQQZxirUQvZhoHXaIp/S7uckPPEkX36urqONVIxteUMhYTdJKMiFPM5QatE3EHGbpg09fEkgLxuSP2PK3h3YkaAVwgEHm7/PLLIZVKYbPZ4PP5AICtKsQVsrQZhcNhWK1WXH/99bDZbCWheqvVCpvNhsbGRtTV1ZUtpUKbZDQaRS6XQ11dHQwGA1pbWyGRnPU1I7JEhy1VYPn9fpw+fZqjSLRxijcntVqNpqamBfcArK+vRzgc5i4f4j6rc8k2HRpicloujd+7FRSNpYpsALj22mvR1taG/v5+tk+aSwBJ50NrSqvV4r3vfS8AsJaWyGE5cOjQITzyyCN4+umnOUVPFzgiEKlUCjqdDn/yJ3+C5uZmLkii9S4mteJiqjVr1ixYkdQ7ARXZkBaOCDbtEeKiFnEXk1wuh1gstuBpxvkgzqBQta5SqSwp7qBxUnaFdGlkJE77s16vh0QiQSQS4fmKZTzlBo2T/CHp+aK5iYtCCLSHFYvn/Fjp30Cte8a7CTUCuMCw2Wy47bbbcNttt1V6KL83aMNob28v2UApNTr3UKaNx+fz4d5778Xf//3fV40Rp9ForOgBWsOFQSm1aDQKrVbLB1FnZyc6OzuZRIRCIfbPI89Asr0wGo0lNkKbNm1Cc3MzJBLJgqevCddccw1sNhuWLl2K2dlZxGIx6HQ6xOPxEtF9V1cXPv7xj//Ov58iOZW4jDgcDjQ1NZVEv+ZGmmitk56WisKWLl1aEXJBl7dC4WxfcqrCXrZsGeLxOOtlyQkgFouxDlur1fLF1GQycYqyq6sLNpsNVqu1xFi63KBnoKenB1dccQUGBgYQi8W4mE5s1A2c0/6pVCruzU6Ym5mp4Y8fkmKly5dqqKGGGmqooYYaaigravmsGmqooYYaaqihhncZagSwhhpqqKGGGmqo4V2GGgGsoYYaaqihhhpqeJehRgBrqKGGGmqooYYa3mWoEcAaaqihhhpqqKGGdxlqBLCGGmqooYYaaqjhXYaaD2CFMT4+zp0O1qxZA7VazV0BqKOAz+eDRqOBXq9HXV3d2/ZyLSdGRkYwMDCA8fFxxGIxuFwuzM7OQq1WY2hoCAMDA9i8eTMUCgW6u7thNptRKBTQ2tqKNWvWoKurq9JTOA9iQ9RIJILPfvazaG9vh8FgwJ49e9Dc3IxbbrkF1157LX9/NfpnvfTSS/j2t7+NEydOwGazIRQKAThrEqvRaCCVSmEwGBCJRGAymfDTn/709+4islCglm5KpRJvvPEG/v3f/x3BYBCf+9znUCwWcerUKdx///2w2WzcaYLMyasBZFY91wdzdnYWr7/+On784x9DKpVCEATEYjEoFAp86EMfws033wyLxVKhUZ+PdDqNZ599Fk8++SSsVit7GyoUCuTzeWg0Gpw6dQo9PT0lptDUjtBgMMDv9+PLX/4ye89V45q51FAsFvFP//RP+N73vgeTycR+h+SZuX79eoyOjsLr9cJqtUImk8FqtcJsNsPlcuHVV1+t9BQuGo4cOYJsNove3l5otdpKD+eSQI0AlhnJZBJHjx7FmTNnMDs7C6fTCaPRiEAggNdffx0dHR3QarWQyWQYGRlBPB5Hd3c3LrvsMmg0GsRiMZw+fRparRZ1dXUVawuVyWTwyiuvYHBwkDtkmM1mmEwm9PT0QBAETExMIJVKobW1FcuWLYNareaWXn6/H0899RSuuuoqrFq1akHav/2+oM4Ao6OjePzxx7F27Vps27YNcrkcN998M15++WW89tprCIVCeO9731u1B1k2m4VOp+P+ykajkfuhUhs8hUKBTCYDtVqNWCxW4RHPD6VSCblcjmQyCZlMhve85z2Ynp7G+Pg41Go199Im4lFNoD6y+Xweg4ODGB8fx8DAAJLJJARBgMViwcGDB+F2u7F27Vr09PTA7XbjZz/7GRQKBXp7e7FixYoF64/9TpHP53Hy5Ek2UbfZbBAEAfl8nlva6fV6ZLNZGI1GSKVSbg+Zy+UQiUSgVCqxd+9e3HzzzRdsY1jD7waJRIJNmzbh6quvxiOPPIJ9+/YhlUpBpVLxJTydTvN7ks1msWLFCnzqU59CJpOp9PD/YEQiERw7dgxr165FPp/H1NQUmpuboVKpqqb5QDWjek7dP3IUi0Wk02mOwoyNjSGRSCCdTqO5uRnNzc3Q6/UIBoPwer1QqVSor6+H0+lEZ2cnHA4Ht1nKZrPc89RkMpV9M83n8wiHwxgeHoZer+f2bdRyiboy3H333XjPe96D+vp6aDQaFItFds0vFAqQy+U4evQoent7q4YAUjRvYmIC+/btg8PhwHXXXYeWlhYUi0U0NDRAJpNhz5496O/vx759+7BhwwZuyVRNEHcEoC4b1AmAXm9x0/uZmRmsXLmywqMuBY23UCjA7/djamoKN998M5RKJUZHR7FmzRrodDpUq599NpvFzp07EQgE4PF4SrqBJBIJxONxmM1myGQy2Gw2TExMwGKxQKvVIhAI4MiRI5iYmEBHRwfWrFlTkXWSy+W4DzhFjY1GI8LhMJLJJLRaLRQKBQwGA7RaLWKxGDQaDV8yYrEYBEGA2WyG2+2uWNu0i4FqbJe2bNkyGI1GPPfcc5BKpXyho1Z9dEHP5XJIJBIQBKHqIv2/LyKRCA4cOICpqSk0NjZieHgYGo0Gq1evRl1dXaWHV/WojlP3XYBcLodgMIhcLoempiasWrUKMpkMmUwGZrMZixYtglKpxPj4OPbt2wedTocVK1agubmZCRPdtmljTaVSyGQyZSeA2WwWPp8PhUKBU9PU15j+ZLNZ9TWVsQAA5LBJREFULFq0CIIgIBQKIZvNAgDkcjlHRfR6PUZHRxEKhaBQKCpOAmlzT6VSGB0dxcTEBO688060tbWVfN+iRYu4n/Orr76KDRs2VNWBQAgGg0gmkwDORTWLxWJJ1JhIazqdxvT0dEXG+VYQE7tUKgW/349QKASLxYJcLoeVK1dCpVJVZRo+lUrhzJkzOHr0KJM+ivoVi0UEAgE0NDTA4XAgkUigo6MDs7Oz0Gg00Ol0kMlkiMfjmJychM/ng8PhQENDQ9mj/slkEkNDQ0ilUlAqlRzpCwaDnKKnS2sikUAoFEI0GoVcLocgCIjH41Cr1dBqtRgZGUE4HIZCoai6aK0Y1Ctcr9e/o4tdsVjknsfllh8YDAZIJBL09vZi165d8Hq9vA/LZDJks1nIZDKODFY6mnwxkEwmOQhSLBaxe/duvP/974dKpYLL5YLb7YZer4dara70UKsaNQJYBmSzWUQiEYRCIVitVuj1etx4440lBxZFOZYtW4axsTFYLBY0NzdDoVAglUqVNFgvFouw2WwYGBgAcDaNV04SSARQq9XC7XZz31YicLlcDvl8Hn6/n8dLmrO5t3+DwQCXy8X6lXJDTBxow/R6vZidnYVMJsOSJUuQTCaZuBLa2tqwevVqfPe730UikeAIZzWRkEQiURKZJDIll8uRSqUgk8kglUo5UuD3+ys53HlBz30wGEQ8HodOp0Mmk8GBAwcwPT3NuibqeVpNkcBwOIxdu3Yhl8vBbrezthc4K6GwWCxoaWlBOByG2+3GkiVL0N3djWAwiGg0CovFApVKBblcjqGhIRw/fhwmk6nsvazpQlQoFJBIJJBMJuF2uxGJRCCVSpFKpTAzMwOLxYKxsTHIZDJEIhEmG6lUCtFoFI2NjRgZGUEwGITZbK7qNPD09DQGBwfR0tICjUbD+xtpyxQKBUKhEFKpFICze0c8HkcymcQVV1xR1rGS9OGKK67Ayy+/jMHBQY6c5/N5zrZkMhl0dnaitbW1rOO7WKD9NZ1OY3Z2Fl6vF5lMBitXrkQymYTD4cCqVavg9Xrh9/thMBjQ1NRUdZmZakKNAJYBoVAI09PTMBgMkEqlmJmZgdFohEqlQj6fBwBeoIVCAZdddhn0ej0LqSm1SmSKwvr79u2DxWLBunXryrqo8/k83/ApMkEEj6J7hUKBIxVi0keEQyKRcAQzGo3y61BOkHaMyDdtpKdPn4bX60VLSwsAzHtQKRQKPtxOnz6NVatWcYoeAKfCKwmKwBDRy2QykEgkiMfjiMfj/DyqVCrkcrmq1ASRzuy5557D/v37sXz5ctx888348Ic/DLPZjEwmA51OV5VpxWQyibGxMTQ2NrJ0g559hUIBpVLJayadTkMQBMzMzOD06dPQ6XRYvnw5YrEYnE4nzGYzTp8+jXXr1pWdAMrlci7eIuKtVCrR1NQEvV6PdDrN48/lctDr9TCZTDAYDEgkEpicnMTExARuuOEG1NfXv+OoWiVA+8Hw8DC+973vwel0csZFq9Wit7cXuVwOra2tePHFFzE+Pg65XA6ZTMbR0HITQNpnHA4HzGYz5HI5isUir3m5XM6XPLvdzkU41XZhfSvQWLPZLCYnJzE6OopUKoW6ujosW7YM11xzDQBArVbz+TQ7OwudTger1Vrh0VcvagSwDFAqlTCbzTAajUgmk1CpVEilUqyfIyKkVCo5zUsLlm5yYm1dNptFoVCA3W7nVGQ5USgUkEwmodFoYLPZEAwGuSKQIjC0AQFg7VmxWIRMJuN/T05OMvmoROSGilHq6+shlUp5vGfOnIHb7WY9HJELiUTC85JIJEgmkxgYGMDk5GTVFbIA4DQbvebJZBK5XK6kqEKpVDJpr8bKOaVSiePHj+O1117D9PQ0Nm/ejMnJSVgsFhw4cAB79+7FlVdeyWmtbDZbFYdaJpNBLBZDoVBggqTT6UouCQBKnrt8Po8zZ86gr68P2WwWBw8eRDKZxF133QWFQsESknLDYDBgw4YNeP3111EsFrFmzRoAgM/nQyKRgM1mw/DwMHp7e3HkyBEmIRKJBBaLBTqdDg6HA4FAABqNBsPDwzAajVWXihTvQTfeeCNuvPFGuFwu9Pf3o7+/H4ODg/j5z3+OV155BbfffjveeOMNdHZ2oqWlBTKZDBqNBsuXLy/7uMXPk1wuh1qthlKpLJF80F7Q0tKCpqYmnm81rJV3AhpnX18fZmZmYDabsWLFivMCHyQ30mg0SCaTOHPmTI0AvgWq68T6I4VYHK3VapHJZGAymVgXJJPJoFKpSuwrYrEYH95yuRyBQADbt2/H0qVLsWbNGng8nopV0xUKBWQyGSayMzMzqK+vh1qt5k2HDjaKrAGASqVCoVBAOBxGNBqF1WpFLpdDMpksewSnv78fr7/+OsLhMEZHR/HAAw/AYDCgsbERR44cwezsLO666y4AuKDmKpPJYHR0FL/85S9x6623YmxsDCaTCX19ffD7/Vi6dClWrFhRzmmVwGg08vMhCAKUSiXS6TQikQgkEgkEQeC06VxtYLUgm83ihz/8IbxeL9RqNV588UW8/PLLMBqNWLt2LR5//HH4fD5cc801qK+vr/RwGYlEAj6fD5lMBh6PB9FoFL29vRAEoaSQgMT5FosFcrkcGzZswKJFixCJRBCNRhEMBpFOpzlbEIlEyq77TSQSOHnyJAKBAFu7xGIxvvD4fD7odDr4fD4mF6Ojo+js7IRWq0U0GoVOp0NdXR36+vr491QbKBMg/rfT6YTT6cTVV19dcrmly6BEIsGZM2fw3HPP4eDBg+ju7q7U8AEAvb29OHToEPbv3w+fz8djXrx4MbxeL6amphAMBgFUVyHLW6FQKGB2dhZvvPEGUqkUrrjiCrS0tHBkVkxkyXaIdMGRSAT9/f1VZZ1WTagRwDKBbohHjx7Fd7/7Xdx999246qqrOPVLUZl9+/Yhn89j/fr1yOVyHDlTqVRobm7GwMAAVqxYAalUing8zgd5OUFFHhaLBR6PBydOnOCbJaV2KA1MGxBFMovFIjweD1599VXcc889yOVySKfTZY0ARqNReDweqFQq3HHHHbjllltw6NAhJuD0un7zm9/Epk2b0NbWhrq6OmSzWdY/Tk9P48yZM1i9ejVGRkawZMkS1mwBZzWCcrm8ogRQrVaXvB9kzSGXyxEMBvmZIz2g0+ms2FgvhOPHj8Pn80Emk8HhcMBqtTJZpUvI7OwsIpEIGhoa+BmrNIgkWSwW+P1+TExMcKGXWAtLBxcVVMjlctjtdjQ1NUGj0UAmk2FwcBB+vx+FQoF1Z+UkgLlcDuFwmC+vHR0dOHjwICKRCGw2GzQaDQYHB7nIQK/Xs9QAOBuVkUqlmJ6eRnt7O2KxWEUime8Ec0nR3PeJsjH08eHDh/HDH/4QPp8PN998M7Zs2VLeAeOcdnn37t341a9+hZmZGTzwwAP47Gc/y98jk8ngcrnw5ptvYmhoiD1ZLwXkcjkcPHgQhUIB73vf+9gmjSB+z7LZLNLpNNRqNRQKBbLZLPx+/yUV7SwnagSwjKDD6dlnn0VXVxcuu+wyOBwOJnoSiQRNTU34P//n/8BkMqGjowPA2UiTVCpFfX09fD4fHwIGg6FihROFQoHtX1wuV4lOkWwHaM65XK5EqK9QKBCNRvlQKXcKeGpqCslkEosWLYJarYZKpeJKxXQ6zan5aDSKX/3qV4hGo+ju7oYgCPB6vYjH4yysJs0J/SwR/aamJixevLhsc5oPOp2OjWEpkpxKpbBhwwY8//zzJa+5XC6HyWSq3GAvABLZi4kdkWyNRgNBEOByuRAKhfgylE6nKzZeAlUo0liJEJE/mVh7CoCr/JVKJXw+H3w+H1QqFZYvX46DBw+iubkZ+XweiUSCK+rLOZfjx49zFbBSqYTFYuFqU7Vaja6uLkSjUQDA5OQkW8UIgsA/ZzQaEQqFMDQ0hK1bt5Z1Du8Uc0nCW+l4Dx8+jAcffBAqlQq33norbrnlloquocWLF+NrX/sacrkc4vE4vv3tbyMUCqG1tRWxWAxKpRIqlQodHR3Q6/UAzhWQVCvosrdlyxYUCgUe93zfJ46oazQaaDQaJBIJpFIpjI2Nob29vcyjr37UCGAZIZPJ0NbWhgcffBDLli2DTqfD6dOnEQwG4XQ60draymm6Z555Bvfddx9MJhPrhqxWK5YtWwa/3w+j0XheZWo5QOSP/lapVEx8xIUqdFMm3Z94nHq9HuvXr2eD0mw2W1YCGAqF4HK5YLPZIJFIoFKpEAqFWNQOnL1JplKp8wg2HeiZTAaZTIbNiZVKJTvwd3d3Y+PGjefZx5Qber2ePf6ImAuCgLq6Oibj4veomjpPEJRKJRQKBXK5HMsFSEpAEc5IJAK3241wOAyj0VgVN/10Oo1EIsFarEQigUAgwOuZyB5F8oGzkQ65XI54PA6/38+6vxMnTqCzs5OLdyoRPRNXL8/OziKbzfL81Go1IpEItFotX46oWpsKX4rFIkdFq+U9+n1AhMnr9eLRRx8FAFx33XW45pprODpdbpCM4/nnn2ebHbfbjenpadhsNvT19aGxsRGJRAJGoxEjIyMYHBzEn//5n1f9+0Dje6fRSr1ej2g0imKxyJdfAAgEAjUCOA9qBLCMkEgksNvteP/73w9BEDA1NYXXX38dgiCgsbGRD4Xu7m5MTk6WWAxIpVLodDp4PB6MjIzgyiuvrEj0j0iO2GdqbkWfuCsD6cto/hKJBDqdDosXL8bo6CgaGhrKHgGMRqM4ffo0ZmZmcMUVV3AVJs2Hquey2SzUajWTRKr2A85WeIZCIUQiEeTzedZwRqNROBwOdHV1XfC2Wi4YDAYoFAom7FR9ajAYSqJItFnabLYKjnZ+mM1mjq5mMhkkEglYLBYUCgVOg1IHgJmZGZhMpqqIaJC0gQh4IpFgza/4ElUsFrn6moidUqnk944KSOi5i0QivC+UA8VikS8QAFgDGI/HkU6nmZgTeZXJZEin00gmkxxdpwue2DMwHo9XpXn6O0GxWMT27dtx8uRJ3HnnnXjPe97D2sdKjIUK0vbu3QuXywWdTgeLxYJly5ahrq4OJ0+eRGtrKxdI0BkCXDo6wHcKtVoNv9+PWCwGvV7PexutvRpKUSOAFQBZpPT19eHIkSNYtWoVmpqakEwm2QB6ZGSEq2rF+rnh4WGcOnUKN9xwQ0UOunw+z2SJupssXryYDwoaE6V96Wco7SWXy7kizePxQBCEskcAi8UiXC5Xie1JLpeD2+1GsVhkz7ZkMgmFQsF9mcVFOXK5nKs6o9Eo+zVS8Q5FCisJg8HANipENqRSKWw2G9+M6fMKhaIqq+WokIWIEnliiqPMcrmce1D39vZWesgAzulkxZZHYtuX+SLk9F6QgS39LOlPNRoNwuFwWQlgNptFOByGx+PhyKVer8fk5CSTU/LJpBR3MBhEJpNBY2MjdDodG71TlPDYsWNwu91obGysysrzt8P4+Dgee+wxXHbZZdi2bVtJVS3ZKZVrXrQOMpkMDAYDOjo6sG7dOtTV1cHj8SCdTpcUpsTjcXi9Xo7KitdStWC+8cz93IU6slDBJJnF055XbqeMSwU1AlgBNDY2Ajgbum9qakJTUxP7+xWLRSxbtgy5XA4KhYLTi9lslj3FRkdHK7Zgc7kcH8IUGfjc5z6HkZERJBIJGAwGAOCIgVgwTREOqVSKWCzGBx9FFMuFhoYGtLa2Ynx8HAD49Q2FQqivr4fVauX0LqUbC4UCp4TpYBYEAQ0NDZDL5RwNpJZr1RCFMplM7IRPGjO5XM5Eb669UDW65mezWUSjUaRSKaTTaaRSKSZNtEZo3QDneu9WGvl8nkmbIAhIJBLc8o2eDboIkoyCbJ+oKEepVMLv93M3HSrSKedaicfjmJ2dRTAYLOnqI5FI4PV6AQDd3d2Ix+PIZrMQBAF+vx9OpxPBYJDHr1Ao4PV6sXz5cixZsoRb4l0qBJCer0Qige9///tIJpP43//7f7MnI7Xn9Hg88Pl82Lx5c1nGJb5wt7W1QafT4dSpU/jXf/1XvPHGG5yxoUyAzWbDpk2bcNttt8Hv98Nms1Vde7v5xjH3cxcaK+3l1AaTpAfV6HFaDagRwApj2bJlWLp0Kf87Go2io6MDTqcTCoWCjTxdLhceeughfOMb30BdXR0XYJQbFAWQSCSIxWIwm82or6/H8ePH+XCjA0J8a6PoBpGQzs5OnDp1iituU6kUp5EWGtRGbGBgABKJhNMGnZ2d6O/vR19fHyQSCbRaLacfLRYLzGYzotEoEokEeyHSmImcWK1W7oxSaWg0Go460esvl8thsViQyWT4c2RDVA3EaS4oYtzT04NMJoODBw8iHA5Do9Egm80in89Dq9Xi6quvxqZNm/jAq9T6IIjTvIIgIBwOIxKJsLk4FaoUi0U+rIikk7F1OByGz+dDLBaD1+vF0qVLOe1aLtBaJx8/mUzG+j6ydikWixgbG8Py5cvR2dmJmZkZ7hJCZuNjY2PYvHkzBgcHodPpOMK5UJi79/wh61EcKYvFYti3bx+6urp4vSQSCRw8eBBPPvkk+vr6sHbt2rIRQMLatWsxMzPDF+/NmzdjZmYGHo8HExMTWLNmDVwuFwwGA15++WV84xvfwCOPPIKnn36aCeKlhLmklf7WarWor6/nPblQKLDutIbzUSOAFUIul8Py5cthMBhgsVhKxN0UHSO/L3JALxQK6O/vx6ZNmyo2bkptia1gxsbGkEqlWH81t7KMDkMA3Jdy1apV+OlPf8pzTiaTnDJbaDQ2NnIUllKI4kps0sKlUimOypDvWTKZ5HQCpbWpSpuqOkkTVQ2ggyuXy7FdEKXcibBTV5NqhM1mw5/8yZ8gGo3i2LFjJVW1arUahUIB0WgUJ0+eRF1dHVasWFEV5JtAz4xarUZ3dzdHkwVB4OeFouAkhxCTI5vNxuk6p9OJkZGRsj5bVFFKWledTseXilQqhVQqBY1Gg6VLl2JiYoKr55csWcKG70QaA4EABEGAx+NBX18f7HZ7WaxI3up5eDtyKJamJBIJ9Pf3w+/346Mf/SgEQcDo6Ch+8YtfYM+ePUgmkzCbzWyUXU4cPnyYtX6NjY1wu934zne+g6985Sv4m7/5G+zbtw+vvfYaDAYDbrvtNuzdu5d/thqyFXNB5wWNbe77NN97Fo/HcfToUVx77bVcTJnL5eDz+apGGlJtqBHACiGXy3GLKDFBAsCRMrGtCvXVNJlMFdVsUHUstamz2+3o7+/n7iW5XK7EK4vSc2QMnclkEA6H+evxeJwPvnKbw0ajURw4cIBT8PQ+iMdBhROFQgGBQIB1gOKUPZFe+rxYNF9pUPRvrnkwEV/grEl0tRJAgtfrxfT0NNLpNPtNijWa4XAY4XAYUqm04obWFPkj4haJRGAwGLBmzRocOnQI2WyWK5vJSoiqycXPoSAIWLx4MRtFU6S8nDYwFouF7agCgQB6enpY06vT6WA2m6HT6RCJRNjjr7GxEfF4HEajEWazmaOxdXV10Gq1bHjd0NBQtnlcCBfaR+dLi/r9fjz77LNQKBQYHx/HX//1X+Pll19mw2jSboozOuXA0aNH8fWvf53XSCgUgiAIsNlssNls+MY3vgGHw4FwOAxBEHDs2DE89NBDmJ2dRV9fH0ecq4UIUhu3YrEIh8MBk8lUYgM1nz7Q5/PB5XJBEAS8/vrrcLvdsFgs6OrqQkNDA+rq6ioxlapHjQBWCMVikTd9KoogYkcpVLVazaQpnU6joaEBzc3NSKVSFdNr5fN5Tktns1l0d3ejv78fDoeDPZhofmIyKK74o2IRm83G3VEoBVxOkKkz6RbnklbScdHGKD6g6ZCmMVNEhyqaqyUKJY5MUpW5TCZjwk1Eo5oJIKXU0+k0R4nnXpDC4TBCoRCAymuZ6AJAazoQCOC6666D0+nkCCBpL8WpKnrm6PIgCAIsFgs6Ozuh1+sRiURYg1ouCIKAnp4ePPjgg6yjev7559mLlEzVSQMnkUi4LZzNZkMymcTMzAyy2Sy6urpw6623IpfLlehTFwJ/aMqXfod4LVMFrVwux9GjRwEAH/nIR9Db2wufz4cXXngBw8PDZSe21CGmoaEBV155JRobG+FwONDS0oLR0VFotVrYbDaEQiE26na73fjlL39Z8bUyHzQaDcxmM7xeL4aHh6HT6WCz2WA2m88jqblcDn6/H263GwDw2GOPwWaz4YorruAL/pYtW6rS47QaUCOAFQQ5/QMo8WXT6XRsnEybkMFgwFVXXVVS0VmJxUtVblRZReSN0ol0kNHhN3d+VEUMAE6nE8lkEgaDoezaJqlUCpPJhN7eXhw4cABAqcs/EViaF5GlC6UixJ+vpk2Vun0QmSVNHc2HSGGlNXNvBSqUMBgMMJlMnC6l15nSrGT/UGkyS9Wx+XwesVgMyWQSmzZtgkaj4Sg5cI5g0OVHnAWg9aLRaLBs2TJ4PJ6SKE25IjZ0Ee3o6IBEIsGpU6cQDAZZykGFXAqFAiqVCm63m6P6VAxF/oBer7ei3WbE6dy3S/tSQQt9n8vlwv79++FyuWC1WvGBD3wARqMRXV1dsNlsGBwcxOHDh3Ho0KGyd9hobW3Fli1boNVqsW7dOmg0Ghw7dgxPP/00QqEQtFotp0Tlcjn0ej0cDgfe8573VMS38O0gk8nY5zYajSISiWBsbAzj4+Ow2WywWCws/wgGg5ienkY+n8fDDz+Ma6+9Fh0dHWhtbcXhw4cRDoc5Gl/D+ai9KhUCPdxyuRxarZZTQkSY9u3bB7PZjObmZqhUKiiVSnR1dfEtu1KFBuRvBoBb7lB6ig6lualRMchHLJvNwmAwYGpqim0Myp02VSqVaG1t5d6YtBmKN0Vxqlf8dTFZBFBC1sUt8CoNmUzGWiyKTlJqUpxqpB7U1QgqGtBoNNDpdFzkISaA1HvX4/FU3H+RyDX5s2WzWXR0dCAWi3Hkj8ZOa0b8b3GUWSqVoqGhAfv378e6des4yl5O4b74wun1ejkSqNFooNVqmSiRByBVyVO3IKPRiEKhAI/HU5GLq3jtvlPSLF6/p0+fxp49e1gusmnTJtx8880lFw2lUglBEEpS3uVAsVjEL3/5S0xMTLAVTzqdxujoKARB4GK31tZWpNNpaDQa3qcymQyi0Sjuv//+qtmvCAqFAgqFgs/GUCjEZI8M1eniJ5VKsXv3bmSzWTbkJpcGcdV9DeejRgArhEKhwELc3t5edHZ2Ajj74O/YsQOPPPIItm3bBrvdzho5sr4QR8rKXcJPKWDgbFcAo9GI3t5euN1u1jaJ+2fOTZHS70gkEtyqpxJWMFTEQhEY4NxrSYewWOs3dxMRHypi5PP5ss/lrUBt+eiAFr83RADpElKNKBaLbAZNHoziFCp9nM/nEQwGMTMzw2upUiBSR91hIpEI7HY7xsfHz7vkiK1gaH3T91ChhVKpxNDQEL+XZIpdLgIo3lvILoieG5KCUFU8zYk8GwVB4KKRajDjzeVyiEQiSCQS3P2GdKQEqtym6uUnn3wSR44cgdPpxPve9z7cdNNN/L30/JGtTbmfvWKxiP/6r/9CIBCA0+nEyZMnkc1m0dPTgy9/+cvYuXMnhoeHsW3bNgwODsJqtcJsNmN4eBiPPvoo+vv78dGPfrSsY347iC8JCoUCTqcTTqcToVAIw8PD8Pv97ASgVquRSqXw8ssv4ytf+QrMZjP/rCAI0Gq1NQL4FqgRwArB4/Fg+/bt8Hq92Lp1K+6++24uX//sZz+Lzs5OrFixAnq9nklSsViESqUqIVOViAIS+clms7BarWhpaeEUlbighb6HFiD1oiQCaDabuUdlJQoniNyRPkTc7YA2Idrg6fvf6ncBZ3VCdCBWA8Ref+I0iJhA0UZZjcjlcjAYDNDpdFCpVFCpVOzHKNabEsEgLVAlIY7QyWQyDA0NoaGhAXv27AGAkr7YFFWzWq1QKBRsLUS6YNL9Ufu0QqHAKeZKpLqpBV86nUYwGGSJgUbz/7P33lF2ndXZ+HN7r1Pu9KaRRr3bsmS5VzDFNgEDoSQkBC8CKST0knwr4BC+DwIxLawAvxAcwOAi3DuSm8pIGo1GmtH0fnsv555z2+8Prb117mgkG/Dce22fZ61ZmnJn9L73nPO+z7v3s59thiiKSKVSmJ2dxWWXXcbXyWKxsM6xGqBngDR8L7zwAkZHR7mHb3d3d5lxOx38EokEvvWtb+HYsWO46aab8NnPfpZNyeVZADqAFIvFituNlEol7Nu3D48//jh27drF6edEIoEDBw7g+9//Pnbs2IFYLIb7778fpVIJmzdvxq5du/Df//3f/P7UkgXU0j2N9ONOpxM7duxALpfD+Pg4JElCOp3Gj370I+zcuRNbtmwp+13SO1a6d/brCQoBrBIaGhrwrW99C1NTU0gkEkgkEmhubkY6nUZbWxs+/vGPQ6PRIJPJcMqONo2DBw/iuuuuq5p3E+nj6OQ8NTWFVCoFo9HIpII+5B5a1KOReu96PB6EQiGu2qxkGkKlUiGTyeDkyZPcI1KuYZRrrOSRTHnEdanVDXDOJ7FWCCBFaeTRTUoFy9NiteoDJkkSNBoNTCYTnE4nzGYzgsFgWVWfPDoeiUSqXoSTy+X4QFMsFjklFY1Gy+4bkkvodDqOOFPkichhJBLBli1b4Ha7+YBCz1Y1EAqFuNMHFak4HA68/PLLuPTSS7lYbXFxEdu3b4fH40Emk4FarcaZM2cqNs6lmZFcLoe5uTk8/PDDOHjwIBoaGjA/P49AIIDbb78dO3fuLKseLxaLuPPOOzE+Po7Pfe5zuP322/n7wPmpZKPRyP6alUKhUMDU1BT+9V//FdFoFH//93+PSCTCc6b055EjR/DDH/6Qv/fAAw+Urc30jFUDS59V+X4BLE9Oz5w5A0mScOzYMTz11FPo6+vDl770JbZbIlDGgHptKzgfCgGsEsj3r7e3lzcAURRx5swZ7NixA1dddRX7bJFpr0ajgd1uL9M/VQuU7pV/Lq+SlT+4ck1gqXS2J2g0GsXmzZtZD7icXnAlcfnll2Nqagof/ehH8f73vx/AOcsUGjsRQbJ4AbDsYkUfRKwymUxF23VdDEQkqLexPEUtJ7m1FAFYDiQZWLNmDVtdyHWLGo0GqVQKk5OT3OGgWkin05z+TKVSaGlpgd/vRyaT4f6kVIAjCAJXy8r7ZwNn7690Og2XywWXywVBEJbVqVYCtCmfPn0aDocDJpMJuVwOgiAglUqhqakJCwsL8Hq9EEUR9fX1SKfTmJqagsFgQENDA+rq6sp6tK7kGrb0byeTSZw4cQL33XcfrrjiCtx8883IZDK4++678YMf/ADvfve78fa3vx3A2fXqT//0T/Hyyy/j/vvvx44dO8o0mReSfuRyuYq2gFSpzvYo/+lPf4qtW7di9+7duOyyy3DJJZegr68PbW1tCAaDSCQS6Onpwfj4OOrq6lBfXw9RFDE+Po7vf//7SCQSbLWy0lj63pGPJwC2FloOVJSTyWQgSRIX3DQ1NeH//J//AwDnVZWbzWa43W4lAngRKASwSqAoAenQ1Go1TCYTOjo68L73vQ/xeJwF1dRdg4jShg0bqlrVROSBxPaxWAySJPEmIdfAEbklzRCdkFetWsWbtCiKF1xYVwrr1q3DO97xDvzyl7/Eb37zG7S3t0OSpPMqkV+NfkS+KYuiyFGSWgCNje4j+feXplBrEbQpJZNJpFIpmEwmdHV1YWZmhgkgRf+MRiOamprgdrurOWS+/0ulEsLhMDweDxKJRFm6kCqyHQ4H99mln8sPFul0GsPDw3A4HBwtJP1qNUA+i+RfSKbqNP4jR45g9erVaG1t5apnnU4Hn88Hh8NRsdT13Nwcjhw5wp15qNL6He94BwBgenoat956K8xmM+677z489dRT0Gq1aG9vx2c+8xmUSiU8/fTT6OrqOq+AZDmiRAf0SqaAqUCIbHh8Ph9LbJ588kl86Utf4kMpdTGiQ8aqVavwxS9+EZ/73OcqRv6ActcE4OxhaWBgADabrczEfel4KDp75swZaDQa+P1+rF+/Hn/+53++rC+gSqXie69WsjG1CIUAVgnUp1AuxiftUCKRgNvtZlJEFhgkrJZr1KoBiiKRbmxubg6hUKismplAeifgbJqEPAA7OjqgVqvhcrm4+0ElodFo0Nvbi0996lP47Gc/i/r6+rIWdktxMXIq/51SqYRYLIZ4PL5iY/99IE8XUpSVrgGA8za3WkUqlYLX62XyIX/PqejA5XKhtbW16nOhCDKldOvq6pBMJsuqQ8n/M5/PIxqNsnaLCGKhUODq/7m5OTgcDo4qysl7NeZGvZn1ej2y2Sz8fj93L6JOOeFwGLlcjjuHNDU1YXFxEalUqoygr9Qalk6n8cQTTyAajfJ6SeRHkiROIRYKBUxMTCCZTGJsbAypVAqLi4v48Y9/jM7OzmVNxeVrL2mEw+EwhoeHK2oCnU6n8dWvfhW/+93voNVqkUqleEwOhwOf/OQnoVKpcPDgQTbhJhuVeDyOr371qyiVSvjUpz6F2267bcWrl+XFdPIiD7fbjXvuuQfbtm2DKIrnFeUQJiYm4PF4cP/990Ov12Pjxo0X1S6T7lnpA3xhKASwSiALFXnRBIGigsDZwoloNAqfz4e2tjbYbLaqahrkRIfSHXv27OFm8bRBy6tPKRpCC4xKpUJ7ezsAcIh+qa1KJeByuXDTTTdh3759GBoaYn88AKzDWkqU5J9fiCjGYjEkEokKzOAPA/k40lyX6hlrCXJtJWnPyCCdLG2AcynsWmjBl81mkclkkMvlIEkS7HY7UqkUp7GoiIsqeqnCmTbIpXKKcDiMaDQKi8UCq9XKRSDVgCiKiMfjyGQyMBqNvGGbzWYIgsB9j8mGQ+79qVKpkEgkKnJ49Xg8eM973oNoNMpVv1Q0IAgC2wYZDAZOi1JV6c6dO7Fz587fK8vi8XiwZ88e9PX1reCsyqHVarFt2zaEQiF4PB4YjUY4HA7+d/369fjtb3+LG264AevWrcPDDz+McDiM7u5uXHbZZejo6EAoFKpYRklud0TQ6/VoaGjA7Owsnn/+eVx66aVlUgiSrYRCIQDAzMwMjh49iquvvhobN27kv7PcPUUaQCLGCs6HQgCrgFQqhfHxce6XSWF68s2ilBxVPxUKBb7xb731VthstqpqACmFRYTu0ksvRTabLYt8LCWAwDlRMm0OpVKJy/irEdHU6XRobW3Fli1bcOzYsTLbF+BcccRyUUE5CZTrHknXRZYY1YbcqkNOpuTVjHS9ahE0ZiowSiQSnIYkw2G6D7PZbE2k3uU6y1KpBIvFwhu0vI80+QRSkQ5VAMsjtdSJ49ixYxBFEXa7/bx2hZUERVSoqpfaVNL9Rc+BzWZjxwKNRoNoNMq/W4ln3eVy4brrrkMul2MzbiKvJPWYmZnhdUqv18Nms8HtdmPz5s0ALhz1l4+dDk7d3d14+9vfjrq6uhWdlxxqtRrt7e1473vfi4WFBY72FwoFRCIRPP3003jqqaewdu1aFAoFDA0NIZvNIpVKIZFIwOPxsPNEJbDcNVepzjY+6OrqwsDAAHp7e9lKjA5QdFAyGAzYt28fmpubsWHDhgvqfOX+oJXUZL4eUZur/hsc6XQai4uLZQUgwNnohdfrLesLSobJ9fX1+OlPf4rW1lbcfPPNVRt7Pp9HJpNBOBzmIhCHw/EHa180Gg0SiQTq6+urptUgPSZt2LRJydPZ8grh5VAoFNhkVa/X10xnDSKvtJjS54Sl1ZK1BnrP3W43nE4nFhcXmRhRRI2iSwBqpvhGjlKphLVr18Ln82Fubg6JRIIPPcA5XR0Abp8IgFOn119/Pe67776yKuBqEUCy28lms5z+JA9AIlrNzc18SKQDVCqVOs++qhL3HJkzL9edY8+ePRf93d9nfNR3t5LI5XLYv38/+vr68PjjjyMUCsHr9bJWlnSj+/fvx6lTpyCKInQ6HWZmZhAMBtl2aH5+Hp/4xCdWXIaTTCaZ0AHn7gFRFLFnzx7MzMxgbm4OFouF7x/KDhmNRkxMTOD06dP4yle+wiSdINfOErRabU0UTNYyFAJYBXg8HrzjHe8o68cKnF1c77rrLlx55ZW47LLLOCpgsViwdetWvPOd78R9992Hvr4+bNy4sSqVm9lsFj6fD7Ozs6y/+GNIhE6nQzQa5UKSSoKirolEgqNikiTBaDTC5XKhsbGRowXyDg20OC31O+zu7kYmk8GOHTvQ29tb0blcCJIkIZPJQBRFaDQaxGIxfq9p/tVMKb4alEpnWyHa7XZOy5dKJWzZsgWtra3Yv38/LBYLGhsb0dTUVHUbGLmnpSRJnIK65pprUCgUMDs7i5mZGcTjcajVajQ2NkKj0aCpqYk3PYfDgY6ODnR2dvJhhLqA0PWsBhYWFpBIJCAIAvR6PRKJBGZnZ9Hc3Ay/38/6xbGxMXR3d8NgMLBFVC2S89czcrkcDh48iJ/+9KewWCxwOp3YuHEj1q9fjz179mD79u2Ix+MYGBhAT08PHnvsMeRyOezevRu7du3C6dOn8V//9V84ffp0RQ4Up06dwtzcHHtH6vV6zoBZrVb09fUhGAxCo9HA5XJxZf/MzAxeeukl9Pf342tf+xo2bNjAgRP5cy4vMJEfTHw+34rP7fUKVanSfgIKGKSNSSaTyOfzcLlc+M53voPf/va3/LAC4Gomqp4Lh8Pcfq3S8Pl8GBgYwNjYGG677Ta0tbX9UX/vxIkTmJ2dRW9vL9rb2ytubksaq0996lM4deoURkdHcfPNN+OjH/0obrzxxoqOZSVw8uRJHDx4EBMTE6irq8PatWvx9re/Hf/1X/+FTCYDQRDQ09ODq666qsxbr1ZAJuh6vR7JZBKDg4N4/PHHUSqV8JnPfAZOpxM/+MEPEA6HYTab0dzcjLe97W2w2+1VG3MwGEQ0GuV0W7FYxN69e/+ov3n06FEA4FZjVqu14qbDADA2NoaJiQlYrVY4nU74/X4MDw+jsbERXq8XExMT2L59O/fabmlpgcViwdTUFILBID784Q9XfMxvdJRKZ7sZLS4uwu12w+VyYXh4GJ/+9KdhNpshSRI8Hg8sFguampqwbt06bN26lXXYlcLc3BxOnjyJdDqNVCrFbevITogqmenejsfjmJ+fh8fjwVVXXYX3vve9r+r/IRnF1NQU/vd//xff/e53a8IgvhahEEAFChQoUKBAgYI3GWqz9E+BAgUKFChQoEDBikEhgAoUKFCgQIECBW8yKARQgQIFChQoUKDgTQaFACpQoECBAgUKFLzJoBBABQoUKFCgQIGCNxkUH0AFrwkikQh+8pOf4NFHH0UoFGKPQ5/Ph6amJrbyaGhowLXXXosvfelL1R6yghoHGT3/9re/xU9/+lMMDQ2xRQT5GBYKBW6rFovFYDAY8Dd/8zf4yEc+gnw+X9UOJzQ++RhOnDiB/v5+jI+PIx6PI5/Pc6u3hYUFtLa2oqurC52dnejo6EBvby82bdoEp9NZtXksRT6f504mv/jFL3DXXXehvb2dO4MIgoCWlhZ89KMfxZVXXgkAZV6ntQAysZZbaR0/fhzve9/70N7ejubmZszPz2N8fBxf+9rX8MEPfrDs96lLU63hC1/4Ah577DG4XC7uz5zJZPgebGlpQV1dHfr6+vC5z32u5kyS4/E4pqenEQqFcPz4cTz77LNIJpO45JJLYDAYIAgCTp8+jdbWVmzbtg2rV6+GxWJBX18fPB5PtYf/uoNCABW8JvjRj36EBx98EIuLizCZTDAYDGhubuaNi3qhTk5OYmFhAZFIBN/61reqO2gFrws0NDSgu7sbgiBApVKxkTV5hUmSxMRQrVYjEAgAABtGV3OTU6vVCAaDeO655zA7O4tgMAhRFKFWq1FfXw+r1Yqenh74/X5cdtll6OnpQaFQQDwex9TUFMbGxvDMM8+gr68Pl112GVpbW7kDT7VA5O/ZZ5/FU089hUwmg2AwiGw2C7VaDa1Wi2AwiKmpKezcuRNms7lmiB9BPh6v14ujR4/iueeeg8fjgcfjQbFYRGNjIwRBwKFDh9DW1oarr76a76VaJH+hUAg+nw+RSIT7RpdKJeh0Om6JRs+HSqXC1NQUenp6qjzqsweKkydPYmhoCMlkkg9+er0eW7duxcTEBEZGRpDNZmE2m9Hd3c0m49PT05AkCUNDQ2hsbMRVV10Ft9tdk9enFqEQQAV/NIrFIqamphCPx7nZPQC85z3vgU6nw+nTp/Hwww/zYpRMJjE6OlrlUSuoZVA0KZVKYWxsDNFolHu2ms1mJJNJ1NXVQZIkmEwm7hJSLBYRjUYhSRL3O64WSqUSEokEHn74YYRCIRSLRdTX1zOBks+1rq4OFouFx2s2m3nTzufziEajeOihh3D11Vdj1apV3IWnGhAEAS+++CLuv/9+HD9+nLvJaDQa7iojiiIeeOABTE5OoqenB5s3b8amTZtqpue0JEl48skncerUKUQiEW7Tp1KpkE6noVKpkM1mYTKZMDExgV/84hc4fPgwk5Irr7yy5khGJBIBcLYtXWNjIyKRCPL5PFpaWqDVahEKhZDJZDgCSOt0NZFKpTAwMIBDhw4hlUpBrVbDYDBwCzin04l169Zx9yWTyQSr1cotIKktYjKZRCaTQbFYxLZt29DW1rbire3eCKiNp1HB6xqHDh1CKBSC0WiE0WhEoVBAKpWCSqWCyWSCyWRCLpeDVquF1Wrl1yQSiap2bFBQe5ATtvn5eQwMDGBgYADxeBylUgn5fJ57LdPnwNmIjFarhUqlQjwex9NPP42mpiZs2rSpahudIAgYHh7G4OAgnE4nkzpqU1UoFLj3r9lsBnC2TzhF0aiPKfXd9fl8OHHiBOx2e8UJYLFYxMzMDIaGhuD1evH888/j5MmTCAQCMJlM6Ovrw5YtW/C9732PU/LHjx/HmTNn0NzcjE2bNmHbtm3o6+vDJZdcUjUiSJ1/fve73+Gxxx7D6Ogop7SpHdr8/DysViu3u6MI05kzZ6BWqzE5OYlIJIL169eju7ubiXq1EQgEkMlk0NLSgu3bt6O/vx9er5f7klNP7ZaWFlit1qq3fyyVSgiFQnjqqacQCARgs9lgsVhQLBYhSRKKxSLUajXMZjPMZjNKpRK0Wi1yuRxEUUSpVCqL5AqCgKGhIV4XOjs7qzi71wcUAqjgj8avfvUrBINBXghTqRRKpRL27dsHk8nED6tGo4HJZIJOp0M2m8Xk5CS2bt1a3cErqDlQ5OyZZ57Bc889B0EQmMRls1nodDq0tLQglUrBYrEgm83yZmYymZBKpfDzn/8cnZ2daGhoQHNzc1UIRzKZxJEjR/j/zmQyHF3SaDTcE1Wn00GtVqNQKPDnpVKJI2mZTAYGgwEejwdTU1NYt24durq6KjaPUqmEeDyO++67D/fddx8WFxchSRL3YwWA9evX47Of/Sy+8pWvcJRTo9EgnU7j9OnTOH36NPbt24crrrgCX/va1zgqVWnkcjm88MILuPvuu5HL5WA0GjlSRFGmSCQCo9HIBw66RkTcjx49isHBQdxwww348Ic/jLa2tprQ0gUCASQSCdhsNqxatQrxeByJRALJZBKlUglGoxHr1q2DwWDA1NQU5ubmqtqzPJPJYHZ2FkeOHEFraysSiQQAcAtU4GzKOpfLIZ1OMyGkwx71xi4Wi6w5lyQJx48fR3d3N9rb22tOelBrUAhgDaNQKKBYLLJgmW76WsPw8DA3rBcEAQDQ3t6O+fl5jv7RXEiTlUqlcOTIkaoRQFosJEkqe0+XW8hVKhVvdPLPl0svyn8u194oeGWUSiXedA8cOIB9+/ZBp9OhUCjwAcLpdMJoNEKr1SKZTMJkMkGlUkEQBIiiyNEcnU6HM2fO4PHHH8dtt92G+vr6is9FEATMzc3B4XBw5CWVSnHqiiJl6XSa9Y2kfSJyCABGoxEjIyMIhULQ6XQoFosVLXDJZDIYGBjAN77xDWi1WiZNRFIjkQiee+45/MM//AOTW51OxySQIlD5fB6//e1vsWvXLrz3ve+tyjWJxWL44Q9/yLpRugYAOPLa0NCAtrY2+Hw+vu9o7SUiJUkSHnroIezZswdut7uqKXlCJpNBY2MjEokE+vv70dbWhlgshv7+flgsFrS3t8Nms3Hv3VAoVNXx+v1+DAwMsD48kUgw0aZ/ab9Qq9VM/jQaDdRqddlaWywWkU6nodVqkUgkEI1GIQhCTVyXWoZCAGsMdMoBzjZeX1hY4Adj48aN6OzsrInTphxerxcmkwkWiwVOpxNOp5OFvNQU3ul0Qq/Xo1gsIpVKoVAo4OTJk1UT6U9MTODRRx/FgQMH0NTUxAJjSiMC58igPNKhUqmQz+chSRJEUeTXUDpCr9czMdm9e/d51YMKLgyqyhRFEY8//jinQYFzVZcUCSQ9EAAkEgkUCgUYjUZ+/ym1evjwYVx//fUVJxvpdBrBYBBarRbr1q3Db3/7W9hsNtYl6nQ6/hoAbDYbRFFkMiiPALpcLiQSCbS1tUGv10MURYTD4YpVPU5NTeErX/kKVCoVjxMAp66NRiPm5+fxz//8z7DZbEysJEniA6HRaOR03je/+U3s3bu34tckGo3iiSeewMLCAtra2vjQYDAYmHCo1WqYTCbWlsoPe5SyLxQKsFgsSCaTePjhh+FyubBt27aKzmU55PN59PT0wOv1IhQK4YorrkAikcCDDz6I+vp6dHR04NChQ6ivr8ell15a9cryWCyGmZkZJtc+nw91dXV8wKH1QL4/0HVYWoWdSCSQzWbhdDqRz+exuLgIn8+HVatWVWNqrxsoBLBG0d/fD5/Ph2PHjmFychI6nQ5jY2MwGAy46aab0N3dXRPRwEAgwGF40syYTCbevBOJBH+dyWQgiiJyuRyfxquFiYkJPPjggxgfH8fmzZuRzWZRKBRgMpnKIgIqlYq1QRShAs6RlVKpxBYXuVwOGo0GyWQS6XQasVjsDUEA5+bmMD09jdWrV6OpqWlF/y+SBvh8PrhcLj4gUPSYQARDr9ez5hQAF4OoVCrkcjmEQiGMjY3B5XJVdMOLxWIYHh7GxMQE1q5dC61Wi6uvvhoA+ABEY6cCCr1eD61WyxFAg8HAGrQHHniAK1SBs5XRlSKAoihiamoKGo0GuVyubN2hg0+xWMT+/fthMpmQz+dRKpXgcDj4MDg7O8vRzfn5+aroz+LxOF588UWusna73TCbzRBFkQlFqVSCJElIp9OcuZATEZ1OB7PZjEwmg1wuh/n5eU5dVhvRaBTBYBAulwvr1q3D/Pw8JicnsW3bNhw+fBgtLS3YtWsXjEYjzpw5U3X9dTabRTqdhtVqBXBWMjExMYGenh5YrVaO+hFINwucy75oNBoUi0UEAgHEYjHY7Xbo9Xqk02kkk8nKT+p1BoUA1hjUajUGBwfxr//6r1Cr1Th58iR0Oh1uuOEGuN1ujIyM4Ne//jU2b96MSy65pOol76dOnQJw7uGkTVmub6JqOqp+JDEv2XVUAvKU2f79+/Hss8/CYDBg9+7dvMjIyQal6Oi9pTED51JFFJ2izYx+nxY0p9OJ5557Dk1NTVi3bl3F5vpKiEajSCQSCIfDyGazyOVyvNlRqp42a0EQMDo6igMHDmBiYgInTpxY0bGlUikcP36cx6XVasvSQAS6HqVSCRaLhe83OlxotVrk83nk83mcPn0aPT09FSWAuVwOer0eu3fvhsViwejoKDo7OxGJRPigYbVa+cCh0+kgCALrn+iwoVKpUFdXx5qmjRs3oq2tDTabraJzCYfDqK+v53FROhQ4FykPhUJcuEJCfqrMJAJFWkdBECru05hOpzE4OMgFEBMTE2hubobRaGQdGR00HA4HfD4fWltbkclkmEyUSiVkMhnWpc7NzSEej1dsDheDyWSCw+FAU1MT2wm99NJL6O3txcsvvwybzYampia0tbUBQNUJYDqdRjgc5vdfo9FgYWEBDoeDpQbAOQ/JfD7Phw0i5oVCAdFoFD6fDyaTqSzFTYdCBReGQgBrDKVSCf/zP//DppfNzc1wu92wWq2YmppCPp+HKIo4fPgwJicn4XQ60draitWrV/ODXUmEQiGOgpGomnRKtDmn02kAYD0XlfhXcuGkzebEiRN48MEHcfToUd58SQtDGwBZkBChAAC9Xs/kgogskZRCocD6FODc6XR6ehrf/OY3ceedd9YEASyVSkilUhgdHcXY2BhmZ2e5KCeVSiGRSECr1aKurg4ulwu5XA7BYBDhcBh1dXUV2TCIcOr1euTzedZbLSXpwNnTvyRJAMBaQHnKjnzpqrFJx2IxjI6OIhKJ8Pvb09ODpqYmlg7QPVYsFuF0OjkKTbo5ihBqtVqcPn2abZZKpRI/9ysNer+JPOfz+fMkEfQvRdDo82w2i0wmA+CcjKJYLMJut2NgYAA9PT3o6OhY8TkQRFHE4uIiWlpaoFKpEAqF4HA4ylKMFHWiaH4qlWJdKaUf0+k0JEmC0WhEJBLhOVYbZP1SLBYRiURw7NgxZLNZfPSjH8UvfvELzsDQgbXafpKCICCRSHBk+9SpUxAEAYFAAAaDgX096SAor9am+yyXy7FFlNPpZO1pIpGoaobp9QKFANYQyBBzbm4O11xzDebm5uD1evlBLRQKMBgMKBaLSCaTkCSJK6Si0Siam5srGg2kak3axEi3QQ8t6RnlqTvaBIrFYkUXTnn07/Tp00gkEmXVZpRKIHIqFxtT9bK8GAEAkz/6Wp56JKIuCEJNkD85XC4XPB4Pkskka9IoLQmAI4CBQADpdBqiKEKr1WLz5s0rPjZJkuDz+aDT6ZDJZFjEvVzBDW3ItDnLQQcNjUaDWCzGWrRKQafTse7VarUil8shFouxN5ter+f3niLKmUwGmUyGvdAMBgNKpRLsdjusVivMZjNcLhfsdjtHn1caiUQCXq+XCyEymQyPXy7Sl4MiNnLJBADeyA0GAwYHB3H55ZdXjACKoohYLMaHArrn6VmVRydJzkLFasv9LUmSYLFYOF1MWsJqQq/XIxgMwu/3Q61Wo6GhAdFoFH19fWxIPj4+DlEUYbfb0djYWNXxiqKIZDKJ1tZWmM1mXoMzmQxrsumwLZfb0D1Fz7i8AISeJ/obCi4OhQDWCCRJwvT0NH72s58hGo3CYDCgu7ubFxm9Xs83tNls5s1NkiTEYjGEw2G89a1vrXg6WL5AkghfXr1MHwCYYNBCS5HBSkCr1WJ8fBzBYBAdHR1QqVQ4c+YMR2MohUhFIJReSKfTXNFJ46dOJ0QOKS1B/lSSJLHGa9OmTeju7q7YPC8EmsPRo0cRj8e5So4IFKXojUYjHA4H9Ho9W2Gk02kkEomKbHD5fB6xWAx6vZ6LO5aSjOWqsOXfo82CUq3y1GolQYcFQRAgCAIflChFrdPpOKoBoKy6kX6fnh36GVVJ5/P5iswhEolgfHwcmUwGRqMR6XQabrebxyf/d6lgn0AHKqrWzufzmJmZqWiEJp1OIxAIcKoRWJ6o0vtL9x29hkDFOfT9YrHIVivVJoAAmLQGg0HodDp0dXVxpoOKXshSpdpG1rlcDtlslt83s9lcFlGWXxfKAMgPe3S/0TxIy0mfKwTwlaEQwCoil8uxN1gwGMShQ4fw29/+Fh0dHRgfH8f69evR0tKCTCYDSZI45UhGyvQAJRIJ6PV6hMPhiqSF5JBXKlI6hUTt8hO13BrFbrcjGo3yHCqVinj66afR09ODyy+/HMeOHcPU1BT3LTaZTGw4SmJ3Ar3fFBkjjRNt1uRDR0SJUshdXV245ZZbaqJYJ51O4+jRo/jRj34E4GyKcs2aNWhpaYHb7UZ9fX2ZLi2TycDhcLDeiQozVhqFQgHZbJZTwHQd5FEA+efA+Rs4XZ9cLgeLxcL2MJWEPOJE/39dXR1vUmazGTqdjudHhulkFE3FIERik8kknE4notEoLBYLWlpaKjIPIgrd3d2IRqPI5/PYsmULhoaGyjSaSyG39CGNY0dHB44dO4bOzk60trZWtFNDKpWC3+8HAJZ2LM1O0Ljp+aWWfbR+0edySQJJWeLxeMWrmpeCpAHFYhHBYBCxWAxvfetb+XkxGo1wuVwcTCAiXy1QcIAi4RaLhce51I2BUvO05hIBJwJI3YHoOVcI4KuDQgArDIpMZLNZBINB7hQwMTEBURRx1VVXweVyoaGhASaTicPbqVQKNpsNgUAACwsLvEHa7XbY7XYIgoDjx49XnAACZ9NEnZ2dcLvdEASBHzx5JIM+aLyxWAwqlQrhcBhNTU0rbgWTz+cxNDSEj3/84+jr68OGDRtgNBrxj//4j2hra+M0usFg4JOo3W7Hrbfeire//e2Yn59nQhEKhXD48GEcOnQIwNlKaNLV0MJlt9vR3d2Nd77znSs6r1eL6elpfPazn8WZM2dw6623IplM4tprr8UVV1wBl8t1wd+LxWIIhUJ47rnnEIvFymyKXmtQRaxca7nUDkJ+T8n/lW8W8u4Z1J5Mrq+rBGw2G7q6uiCKIhepzMzMYHJyEgBgsVg4gl8qldDc3AzgnKUNRaMBwOPxwOVyYePGjejo6IDH46mYgH/VqlW48847ceWVV+LBBx9ENBrFbbfdhk9+8pMQBAEGg4EF+XIs9WizWq34x3/8R/z7v/877rzzTlx77bUVLcqhggMifdlslomEPApLkX+j0QhBEMoyGHQ/EYGieSeTyZqoOKXCulQqBY/Hg3Q6jYaGBv6Z3W5HPB6HIAior69HXV1dlUd87nnVarX8PMgjtES65SbQ8gwNkXVqB0fR9Vwux/pgBReGQgArCDqZ+Xw+3HPPPchkMrBarQiHw5iYmMCqVavw4Q9/GJFIBAsLCxw5ID+9xcVFNDQ0QKvVwuv1YnFxkR9ki8WCkZERvO1tb6vonGjho96MgiDwiT+fz3Mxi16vRzweh8PhgMvlQiaT4QquxsbGFd+Y+/v7cdlll533f9GJk95jIrCCICASieDIkSPI5/Ps6UZjHxoawuDgIFc822w21klRVIfSEbWAZDKJ06dP44tf/CI+85nPsJfhK0VfU6kUd33w+Xzwer0rdsgQBAHJZBJ2u50Xb1EUORVN76ecXCxN59HP5cU5dOAib7dKIJvNwufzIRAIwGKxsBbL5XIxwaM5mc1mOBwOAGcrtEulEsxmM6xWK6eQH3vsMezatYsjsUajEatXr67IXEwmE3bs2IEdO3YAAMLhMGtiqcJXDnmUlsT7yWQSb3nLW/CWt7ylImNeClEUkUqlYDQakc/nuYp3abqdCEc2my0r+CJrG3lEkOZOnqDVBhk/FwoFXHHFFQgGg7wWWa1WWK1WDi60tbXxPVcNCIKATCbDXpL5fJ512Xq9vozoAed6g9P7L5dKkB41mUwyiaR7U8HFoRDACoG8ir785S/D6XSis7MTg4ODSCQS2LRpE97znvewMNztdqO7uxtHjx5FLpdDY2MjWltbEYlEMDQ0BFEUuQclVVLJ/eoqCarAAsB2CfTgUvqHNoRUKgWDwYCWlhaYzWZEo1EEAgGsXr16xQng1NQUbrrpJo52EUGoq6vjxUKv17PRMDUkf+qpp/DII4+U/S2VSgWLxYL6+nqYzebzdFvUoqiaKQiqGDUYDNBoNOjt7cX//b//F/feey8+85nPYGxsDMFgEL29vRcldMeOHYPX68X27dsRj8cxMjKyYgRQkiQkEgnebIFy/ZjcGkUuCF/OMJasIigNSd6MlSKA5MVGXnharRYDAwNYWFhg0keVsm63GzabrazwRqfTweFwwGw2w2QysZFva2srVCpVxTwAAZQRHjrYya1dLuSPSZ8v3YgpclZJaYQgCIjFYtDpdEwQHA4Ha3nlpEKuAwTOVQaXSiXubJRMJtnIm2xHqg3yLhwbG8PPfvYzSJKEu+66CwDYSUKSJJw+fRqzs7P40z/906qN1ev1IhAI8Hobi8WwdetWLjii936pCwCBTOFVKhUSiQTWr1+PVCqFeDzOfcLT6TSy2azSjekiUAjgCoF6SqrVamSzWcRiMU71zM7O4vLLL4fP52Nz3UgkAq1WC4fDAaPRiOPHj8PpdPJNDZz1bbr00ksxMjICh8OB1tZWxONxrsxLpVKYn5+vqB0MVS0C56IwVIpPlXRy53ZRFFkvMzk5iXA4vKyG6LUGVVbSWCndSBsRCetpoS+VSqxbouo0efUZpRpoE9fpdGxzQ3OuZFqI0lqpVArFYhHxeBzT09Po7u5GZ2cn6uvr8Y53vAN333035ubmOO2VSCRgtVovGA2YnJzE7Owsuru7kcvlMDw8jOuuu25F5kCRumg0WtZKTH5NCJTmBXDeAk8FL6QhFEWRvQ8rpdOKx+MYHx/H1NQUWlpamBB2dnZCkqSyIiOj0YjW1lau3KSoND0vDocDdrsdw8PD8Hq9KBaL2L59O9avX1+Rucj1bgSqMJWT8uVA35en4+QHpkqBIoAURSISJ5cSUIqXPDApA0ORTFrLV69ejePHj7Of4ezsLLxeb0Xnsxw2bNiAjo4OTE9Ps+ULRfgbGhowNzeHxsZGXH755Vi1alXFr4Ec0WiUtePAWUL4wQ9+EM888wzryq1WK7RaLd87dBAEwH2zTSYTFhcX0djYiEsuuQTHjh0r60aTTCYVAngRKARwhfDSSy+d12aoUCigra0Nl156KX8uSRKCwSBH/yj1S9WnJMwnn7ZisQiHwwGbzcbedk6nE5Ikwev1YmpqqqIEkFLUZPgsTwnRg0cEkLQasViMU2CZTKYiBJCq90h7RRsCESEigUvJhrzicmmUiTYHAGXEklKQK1nlTBELiqIKggCr1YpvfOMb+NjHPgaXywWTyYTp6WkUCgWsXbsWTqcTf/mXf4kDBw5g+/btSCQSyGQyHG1aiocffhgTExOskyKt6UpBkiQkk0luI0gEjjax5VI6RMwpnUrRmmKxyBXZVH1aSdshi8WC1tZW6HQ61NfXo6enByMjI2wErdfroVarkUwmYbVamfz6/X6OMFssFtb66vV6NDY2wuPxcL/aSkN+78s341eC0WisuuUI2bWQnKBYLGLbtm1l1f3ywgK5KbpcZiAIAjZs2IDx8XG2tKHir2qDLJPonie9IgA0Nzcjn88jHo/jzJkzAIDrr7++amOl55y6sRSLRXR1dcHhcPD1kDsyyHsBq9VqPrzT9QTOShUouEDkUSkEuTgUArgCGBoawvT0NOrq6th3ymQyIRaLQa1Wo66uDuFwmB3pSaeRz+cRiUT45FksFjkVKT+9lkolRCIRpNNp1tmRpquS1irAuZTnUpBwl6I4lD6SRwsrWYXW0tKCgwcPYu/evXC5XJxupFQhkTkiEUsF4nL/P3m6a6ntCL0fZKOyUt0O5EUPZBxsMpkwNjbGekyXy8WdWvr6+mAwGPDOd74Tjz32GKanpxEMBqFSqZYtAkmn03jggQcQi8XgdrsRCoVgsVi4WGElQL5gwNnFPBAIcEcAeYpdXsyxlIQQIcxms/wMVdo6heYSCoVYA0hVv42NjXxo0uv17O1XV1fHAniKPhPJMpvN3CKPnqdKpoAJv691CBGqpevDxSKGKwVyUTAYDKzvu+SSS3DgwAH2V6XnFzh3uKP50s/o0Er+gUTeayEFHAqFkEgkIIoiH6yp0GPDhg1lPrLVNkkWBIHNtCmA0N7ezsEO+h6tp/LDt3wP0Wq1TCAbGxt57yTtr9IN5OKovj/FGxCJRAJ1dXVlrWyoTRot5nSqlze3T6VSUKlU7IuUSqUQiUQQiUSQSqXKKiTp9EO2HVarlTeXSoJsKoBzXmW06dJY5Q8wFU2Q0L1SVZm9vb1YXFzEiRMnEAqFkMlkEA6HmeQBKCMK1B6NDJ1Jl7acNo2imRT9pJOqRqNZkaiTXN8mj1LodDpOcyaTSRaz+/1+zM/PAzibCtLpdJidneW/4/P5cPLkSUxNTWFmZgbT09M4c+YMtFotOjo60NbWxt0sent7X/P5EOi9pvuIpA1LezHLN+rlChDIu1CSJL6+lRaE0zipypeeXzqokT0MVZOSLo0+qIqRiIi8MEFuj1OLWI7g0bzp55UG/f9arZZNg1tbW/n+kEf+5YfapU4GFLWl9YEIVS1cj8XFRY6Y031DUUHgrK7ZbrezDrKaoPud9j+j0Qi73c4HIOqLvZzRO62xdO3ILaOtrY2fG/meq+DCUCKAKwCr1Qq73c7+fKQVo1M9PaRGo5EjfFQ0UVdXB7VajUQiwYadRKDkmqj6+nommPQwVCMqQE7swLmQPXlsLddjl7RzVIlXKSF4S0sLenp6MDExAYvFAr/fj2AwyO8h6fcAMNmTW4rY7XaoVGc9Duk6XsgShcggEcjXGvF4nKNI4XAYgUCgbBx6vR7JZJIraNPpNE6fPs0V53V1dWWdY5LJJIaGhtDQ0MD3YyaTwW233ca6p2AwCK/Xu6K6MyI+arWao2FGo5GfD7lvm7wARF4QQp9TNHwpMa8USHNqNpv5GpD3JREQg8GAUCjEh45CoYBAIMCRGvKlzGaz0Gq1sFgscLlcnBmoNOTPsxxysrd0o6b3nwpx6urqXlE3uBIgQkAdZjweT1l7R/nrKAIrXwOAcwb2xWKRi0Hkv1dtUJbIbDaX9SoHgDNnziCVSpW1WKwm6FBGzzr1T5fbadFeSZkUuh7UOYdIPZHIpqYmXkMI1ThsvJ6gEMAVgNfrhSiK6Onp4RMXeZql02kIgsC9VinFSA8reVAtjezQ79MJhwosKNUqN4iuJDQaDaLRaFmlJs2DiCtVxFI1F0VC4/F4WXpvpXHDDTcgEAhgYmICp0+fRjqdhsvlgsFgYL0Yme/KF3+DwYDGxkbu1qLT6Vh7Iq9ApQ2SxNcOh2NF0tyzs7NMvJPJJARB4Pf/He94B6anp3kTW7NmDVKpFJLJJEZHRyGKIjZs2AC1Ws0HEFpASXOaTCZhNpuh1+vZhJzsLpqaml7z+RAoAgicvX88Hg8aGhoQDoc54k3jXLqwy0kg6U3JqLgaBDCZTGJiYgIzMzPcdquxsbEs1avX6+H3+9Ha2sqpunA4zK339Ho9isUiLBYL7HY7jhw5ApfLxbrCamFpVGW5TXbpNcpms3z4qCbUajVSqRSuv/56Nq6XkzciGrSu0r20NArl8XiwsLBwHkmsJsxmM3edcbvdZfNKpVIQBAEzMzMolUoV85G8ECigQXsaeUKSxZDccF++xsqLdQBwRyydTgebzVbWX7sWDPhrHQoBXAFs2bIF+/btw/Hjx6FWq2G32+F0OmGxWNDU1MSbqPz0SakvuYM53fy0uS+XKqKm1+FwGDMzM8jlcrj66qsrMk+VSoX/+Z//QTAYRDKZxI9+9CO88MILfMoEwOF5SpeUSiU0NjbiP/7jP3Dw4EFcc801FRkrcJZU0EYsSRKOHTuGM2fOoKGhgS0i5MJjuR3E8PAwt3ZbzkOPTqtUZOLxeHDFFVesyDw2bdrE0Qi5Ca8kSdi9ezfm5+c5VUsaRCK5FLmQk3Xa6AAw+chkMojH4xzBpsKkldI00vjJRohSOxeqGJWbxsrJBllIaDQa2Gw2fo081V8JuFwubNu2jbWX69atg9frxZkzZ5BIJPgQEQwG0draira2NhSLRfj9fj4gWa1WGAwGeDwe3HbbbRgYGEBHRweMRmNVikAIlJoHyj0Zl0IesaHDClCdKmCVSsUH6XQ6jbVr17IGmD7kEgNaj+WFXnJCZbPZeJ0gHVu1ISc9VGhE0Gq13Eygvr4enZ2d1RomgHJJgEajQXNzM1QqFebm5rB27VqeB+ne6V/54ZykNpIksdaPDq7ybI6CC0MhgCuApqYmfOxjH0Mmk0EgEIDf70c4HEYsFsPAwABisRinp14JdPPTJkagkylFBywWCy655BJs27ZtJad2HnQ6HVpaWhCPx1EqlbibBpGpsbExbu0jCAIL+00mU0XJH3DONBgArrrqKqxZswa/+tWvMDg4iFAoVNa6i3QkVFxhMBjwjW98AzfccMOr7mCwUpucvC+mfE60CV2oCpy0mn9o+nAlC0AAsJG4zWaD1+vlAwMAPkQs3bDlnRrodaRLNZlM7KlHbRMrBb/fj5deegmRSAROpxM9PT1obGxk8b3JZIJWq4Xf70dbWxun38kHkFLIdB9u3LgR9913H+bn5/m5rxaWEkD6d7nUsDxLQdHdaqTllhZ22e12HDt2jA8Lcl0pAI5+A+cOUUQ4EokEgsEg/4zIZbVBLdXoUChP8xJpSqVSKBQKPP5qgZoFSJKETCbDB9b29nZ4PB6WElHx1FJPRuBcAaLBYMD09DSAs1KfpZZdCi4MhQCuIMxmM4vol2qUXu0i+EokQh4ep4KEasBut+OTn/wktm/fjueeew5nzpxBKBTC17/+dfzv//4vfD4furq68I53vAN79+6tyhiXoqmpCXfeeWdZtajcF4xAG4fVai3rHqDgtQWlgMmWRl70QJKCpa/X6XTnPU+SJHHHg7m5Od5oKlmp2dbWhquuugpTU1NceHPixAnWa9rtdmi1WoRCIbaEiUaj8Pv9KBQKsNlsbFKu0+mwZcsWdHd3l3VzqBaSyWRZYQ79u9yaJo+k0/tfDQ2gw+GAx+PByZMnYTQa0dfXh3379vFBVV74sXQuVNBGc9HpdOzokEql0N7eXtXrQXA4HKivr4fFYjmv7WEsFoPJZEJjYyPrz6sJOrwS0SMnAjJEB87tbWSnJi/MofuHvADpYGW1Wvk+q1SB4esZCgFcYchPLG9kqFQqtLW14ZZbbsHevXsRjUbxyCOP4PLLL0c2m8WaNWu4ZZ3NZqv2cAHgvFOyguqCIkUqlQqZTAZut7usKbycNFDlJn1fTirIcqinpwczMzMAwFY/lUIul0M4HMbg4CA8Hg+2bNmCcDiMYDDInpkUkSGjZzK9pVS7/G9pNBr4/X6k02k2Ka4W5FXxr5bEya1HqqGZc7lc6OrqwsmTJ7n39/j4OBd3ASiLBC7VOcqlONFoFA6Hg1PaHR0daG9vr+h8loPT6eRK2qWWYFRVH41G4Xa7qxpBBlBm1wIAPT09nLYmTd+FoqpLi0GsVitnZerq6uD1ejktXwvV2bUMhQAqeM2g0+ngcrngcrnQ3t4Ok8mEn/zkJ7jjjjvQ1dX1in1nFby5IddaUTGU3HuRNgy5QJ9+T27iS693u91cNU9/t1IwGo2oq6vj6kZqxUUaRzKypZ7TJHxPJpNsM6JSqZBOp5koyk2Mq1ndSGnpCxV/LAVdH+poVI0IOnlzUpp0zZo17MMq1/5SNBAoP3BQBTr5h37qU5/Ct771LU4N1wLIPJy6E8nHZTabuWuTzWZb1vuzkqD7h95Xm82GSCTCUX2DwcDXhLIuS30AiQQaDAYmtC0tLQiFQvxzRQN4cdTGnavgDQeNRoM1a9bg0Ucf5bSDAgUXA2msAPDJnjRLS0X6RADlTd/lHoGJRIKj77RJV5J4UJUvRV68Xi/27t2LHTt2oLe3F+3t7WhubkZLSwvq6uq46MPlcsHhcMDhcKCurg6tra3YuXMnBEFAqXS2m02pVKpKeouIEWkxl8pP5P6X8hQffVSzW0Y2m0UkEoEkSZAkCV1dXfjQhz4Et9vN/qpEFpYSOirAy2QySCQSuPnmm3HbbbcBOEuGw+EwIpFIxee0FFQ5ToVRS8lPqVTig0m1U9bLaflisRgTPrnPH1m70DWiz+mDuktJkoSWlpYywqhoAC8OJQKoYEVBPRkVKHgl0EJPi3ZLSwvm5+chCEJZIRQRPRK7L40MktE6bQDkZVjJtCm1DaPWb+Pj4/jKV76Cvr4++Hw+ZLNZLkwxm82wWCzQ6XSIRCJckd7Y2Ai3242+vj5MTk4iFArB7/ef50FXKRABTKfTZSSQUtRLU8JyolosFhGJRKoWudRqtbDb7WxqbjAY8A//8A9IJpPo7+9HJBJhkg2c6/xB81Opzpoqd3V14XOf+xzq6+vR1dUFURTZfqRWID8IEag1ZSaT4cryakJeICT/3saNG9HQ0ACz2Vz2fbnEQ37goPfd4XAgl8uxjy5FyhUCeHHUzl2r4A0HlUqFtWvXKmJcBa8KyWQS8/Pz7Dm4a9cubN68Gb/61a+QyWTKNFrUBmqpNxhFFq699lreoAuFAiYnJ1kPWAlQL+DOzk4YDAZcfvnl0Ov12LJlC7Zs2fJ7/73W1lYUCgV4vV4AwOrVq1/rIb9qJBIJJrDUwWg5kK+kyWSCKIocJavGgXDLli2sCXW73TyGf/7nf0Z/fz8effRRPPvss1hYWIDL5SrzMZUkCR6PB+94xzvwiU98gv/m17/+dRSLRXR0dFTd35BAkcp4PF6moXM4HDh16hTi8Tj6+vpWvKL/lSA3cqdI4KpVq/ClL31p2YKiYrGITCZzXtTZYDDAarXiAx/4AKxWK5utk+ZX6QRycSgEUMGKYseOHTVhkaCg9rF582Z8/OMfh9frRTwex9vf/nZotVq8//3v5wKKUCiEubk5BAIBFn7n83k4HA60tbWhq6urzKz6iSeeQDQaBXB2E6wUHA4HrrjiivO8IH/f6ld6vcfjwY9//GMMDg6ioaHhDyKRfyzoILd161Zcd911KBaLsNvtHI2kTVtepUmG3JFIBFdddVXVsgFqtRoOhwObN28+72c7d+7Ezp078ZWvfAWFQgFnzpzBE088gYaGBvT29mLNmjVlhu40t2pcg1fCzp07sbCwgFOnTpXNta+vD3Nzc7BYLFi9enXVCWtnZycEQWCzdsIfm5pubGxEa2sr8vk8f67gwlCVlF4pChQoUKBAgQIFbyooRSAKFChQoECBAgVvMigEUIECBQoUKFCg4E0GhQAqUKBAgQIFChS8yaAQQAUKFChQoECBgjcZFAKoQIECBQoUKFDwJoNCABUoUKBAgQIFCt5kUHwAq4DlvMAmJibw9a9/nfs4zs7OYtWqVRBFES0tLXjLW96Cq6666qJ/Q8Frh7m5OTz99NN44IEHsG3bNvh8PjQ0NGDjxo3Ys2cPOjo6qj1EBa8zPPTQQ7jvvvsQCAQAnG1PNj8/j5aWFhgMBoRCITQ2NnKHk9WrV+PP/uzPsHPnziqP/OIgJ7FIJILDhw9jy5YtuOeee7B3717s3r27yqO7OHK5HE6ePImXXnoJR48excTEBNRqNRobGxEMBuF0OtHQ0ICWlhZs2bKFW8DVIubm5nDkyBGcOHECXq+XW/FddtllKBaLUKvV7J+5Z88erF+/vib2keXGIEkSBgYG8Otf/xr33XcffD4fNm/ejHg8Dp/Ph9WrV+P222/H+973PnR2dpb9rrxNoYKLQyGAVQDdmIVCAX6/H7Ozszh+/DhmZ2exbt06uN1u6PV6bNq0CcFgEJFIBAMDA9izZw+bKsvNVhX88QiFQpidncXQ0BAikQh6e3vR09ODoaEheL1euFwuuFwurFmzBiMjI/jf//1fBAIBbNiwAatXr8bWrVths9mU66HggvB6vQiHw8hmsyiVSohEIvD5fJifn4dWq4XJZEI6nYbL5YLJZMLi4iIOHDhQ0wSQujbkcjkea0NDA3bs2AG9Xo9oNAqXy8UEpNbwta99DS+99BKCwSC3EMzn8wiFQpAkCcViEcFgEKdPn8bg4CCGh4fxhS98odrDXhZHjhzB4uIi3G437yEmkwlWq5V76rpcLuRyOZw5cwbr16+v+nol38MOHTqEI0eOYGJiAouLi8hms1Cr1Whvb4fP58Pk5CSSySScTidMJhMOHjyIF198ETabDR6PB5dccgne9a53wWAwVK3l4OsNCgGsEGihVKvViEQieOqppxCPxxEOhxGPx7n/Zzweh1qtRn19PfL5PEqlEgRBwIkTJ/Ctb30LjY2N2LBhA7Zv315T/Sdfj5AkCX6/HwsLC1CpVNyrVK1Ww2g0YsOGDfjiF7+I++67D11dXdi7dy86OztRKBTQ1NQEt9uNNWvWQK/Xw+fzIRQKobW1FQaDodpTU1CD2Lt3L4aGhjA8PAxBEGAymdDW1oZSqYSmpiZks1nodDqYzWYYDAa0traWRf1rERRpkSQJjz/+ON7ylrdAp9Nhw4YNGBsbw9zcHFwuF2/ytXZonZ2dxdzcHLLZLPebJhKo1Wq5pZgoirxW1yqi0SiKxSJsNhv3OzYYDNwaLZ1Oc+AgkUggFovB6XRW9ZrQWH7961/j9OnT8Hq9SCaT3PZNp9OhWCxi8+bNGB4ehkajgd1uR6FQQCKRQD6fRzqdRiwWQzweRyQSwS233MI9nxVcHAqDqDDy+Txeeukl7N+/H+l0GpIkcd9Ji8UCURSRzWah0WgQDAYhiiIMBgMymQz6+/thtVoxNzeHRCKBXbt2wWazVXtKr2sUCgWMjIzA4XDAZDLBbDYjHo9jZGQE4XAYuVwOV155JSYnJzEwMABBEDhSQD1FZ2ZmMDk5iZ07d5Y1ka8VRCIRjI6OYnp6Gnq9HsViEU6nE5deeinsdnu1h/emwfr167Fz507Mzs4imUxypKZQKKCxsZFJSDqdhtlsRl9fH3bs2FHtYV8QFGWRJAlTU1O8VpVKJdTX1+PFF1+Ez+dDb28vzGYzH4Jr6dlYs2YNhoeH4fP5mABSCtFoNHLP6Vwux2n5WoTX64UkSVCr1dDpdFCpVCgWiygWi5AkCYIgIJPJQKvVolgsIp/PY2ZmhtspVguJRALPPPMMHn30UR6/Xq/n+yiXy0Gv16O5uRnhcJjbPhLBdTgcPNdgMIinnnoKWq0WN910E7q7u6s6t9cDFAJYYfh8Pjz55JMQRRFmsxlmsxmSJHHTarPZDIvFglQqBaPRCJ1OB6fTibq6OoiiiFgshhMnTmB+fh4NDQ1Yu3atEnH6AxCLxRAMBqFSqeD3+xEKhdDW1gav14vp6WkEg0HEYjFEo1F885vfxPDwMO69916sWrWKT9YulwtmsxmRSAQNDQ3YsGEDhoaG0NnZCY/HU+0pAjh7vx0+fBhPPfUUDh06xItlV1cXisUiLrnkErhcrmoP8w9CJpNBLpeD1WrlPrUXQi6XQ6lUglarrWoq8pJLLsHvfvc7LCwsMPlOp9MIhUKw2+0wGo0IBAKoq6tDX19f1cb5akAEMB6P4/Dhw7j00kuhUqlQKBSg0WiQTqcRDAYxOTmJjRs31mQa+LrrrsOhQ4cwPj4OnU4HnU4HjUYDrVbL0TKKChYKBWzbtq3aQ14Wx48fhyRJMJlMAMBRTJVKxT13S6USMpkMdDodSqUSJiYmsGXLlqpG/7xeL+69914IggCn08nku1gs8vNqNpsBAF1dXcjlcjCZTDCZTPzMq9VqztykUik88cQTWLVqlUIAXwUUAlghqFQqiKKIJ598EqlUCgaDgR88eiABwGKxwO12Q6vVwmazoVgsIpfLIZfLQa1Ww2w2Q6/XAwD6+/ths9nQ09NTtXm9XjEwMIBf/epXqK+vx8zMDBYWFtDR0YF8Po+GhgZcddVV6OrqQqlUQmdnJ772ta9heHgY0WgUExMTmJubQyQSQTweR1tbG9atW4evf/3rWFhYwKc+9Sm8853vrPYUIYoifv7zn+Ppp5+GzWbDNddcgxMnTkCv10Oj0eCb3/wmPvrRj+KWW27hjeP1hKNHjyIYDGLr1q1oaWmB0Wg87zUUcaJobl1dHUejqrHxrV69GnV1dUilUvD5fLDb7dBoNCiVSkgmk0gmk0ilUnA4HOjt7a34+H4fEJlLpVIYHh7Gn/zJn5T9fOPGjTh48CB+97vfYcOGDVCr1TUV/QPOEvLm5mZIkgRRFGGxWHg9LhaLXEgBADabrSYjsqVSCadOnYLFYoHJZIJKpUI+n4ckSUilUshmszCbzVCr1Uin0zAYDLDZbPD7/UzWq4FsNotoNIpMJgOHw4F8Pg/gnEZeXshBxNXpdJaR80KhwJHOfD7PGQ76fq0dOGoNCgGsIPL5PIaHh/lk5vF4UCgUIAgCh+7tdjsMBgO0Wi3rH+ghtdls6Ovrw8LCAhYXFzEzM1PTmpRaxtVXX42WlhZ8+9vfxv/3//1/F3wdpRZOnDiBq6++msm3HKVSCU8++SS8Xi++973vYePGjSs48lePRx55BPv27UNTUxO++tWvnhdR+uAHP4jvf//7CAaDuPPOO2tuc74YisUi/u7v/g7j4+MwGAz45je/iT/90z8tm4N8A/H5fEgmk9BoNFUlgFqtFk1NTXA6nUin0zCZTDAYDNDpdEin01Cr1TCZTGhtba16BEP+Hl3o/crn88hkMigUClzxS4Ri27ZtmJubw2OPPYZkMlmzcoNt27ZhYGAAU1NTMBgMZWuuVquFKIro7u7GzTffXO2hLotwOIxCoQCLxQLgbERZFEUOHOTzeWg0GuRyORQKBYiiiGQyCZPJhKmpqaodNBKJBObm5ji6qtPpuAKeIoDA2ec4l8vB6XRyhJmig3q9nokjpZAXFxcxPz+PRCJR9RR3rUMhgBVEoVDAqVOn0NzcjMXFRbS2tsJoNEKj0XB0z263w2QyIZlMwmg0QqVSwWw2Q6VScVXdqVOnYLfbEQwGkU6nqz2t1x1isRhefvll7N+/n61d5ufnIYpiWfUYpRXWr1+P06dP80JDkQz5KXTz5s344he/iKNHjyISiWDdunVoaGio+Nxo48rn8/j2t7+NbDaL66+/Hn19fWUaLJVKhc985jP48pe/jJ/85CfQ6/X4i7/4i/P+nnwRrgXIx9/T0wO1Wo14PI677roL//Vf/wWPxwOr1YqrrroKmzdvxoYNG3Dy5Ence++9aG1txZ49e6o9BaxatQpdXV04ffo0BEHg+0ir1SISiWDt2rVYt25dVcdIqTi6Z4Dye4B+PjIygkcffbTs+/KoC1Wg/vCHP8RnPvOZZf+vausCu7u70dXVhcnJSS6Y0Gg0/BwBwObNm2vWAkar1cLr9fJBQhAE1mNarVaWGGm1WiQSCUQiEbjdbmzbtg0nT56sGgGUJAnxeByhUAiiKLIEAjh3eKMPo9EIrVbLhZFEBEVRBAAYDAaIoohoNIpSqYRUKqUQwFcBhQBWEIVCAbFYDDabDT6fD16vFw0NDTAajdDr9dDr9bDb7RBFERqNBiaTiQlioVBAKpVCNBrF4uIimpubAeB1UQmcyWRgNBoxMTGBUqmEVatWXTDtUAnCQVVkhw8fxvT0NG644Qb83d/9HdRqNRwOx3nvKS08BLKHIL1QsVjERz7yEfz1X/81JEnCX/3VX6GhoaFiBJAiFgC48u1DH/oQRkdH8ZWvfAUf/vCHUSqV+IRMKcd169bh5ptvxk9/+lP8v//3/1AoFPBXf/VX/DcB1FQKRU7ORVHE0NAQjEYjDAYDcrkcfD4f5ubmIAgCjh49el5F/dve9jZks1mOlFQLbrcbdXV1ZRFKIh2ZTAYdHR3o6uqq6hgpBapSqZZ9Vum+8Pv9GB4e5vHSNaLfpZTcoUOHLvh/VftwsXfvXszOzuLIkSMQRZGLKHQ6Hfuw9vb2orGxsarjvBAcDgfq6+tZHmQymZDJZDA9PY1kMskZiUwmA7PZjGw2yxroaqV/gbPPMGn/iAiuW7fuvPuhVCpxdBAoj+xTOjgej2N+fh4OhwNOp5PnqPi1Xhy1zx7eICgUCqx1mJqaQigUQiQSQV1dHXQ6HaeA1Wo1f04PNIXF9Xo9crkc5ufn4fF4UF9fzxt1reLhhx/Gd7/7XaxZs4ZFyrt378Z73vOeZV9fic1ArVZj79696OnpgSiKcLlcaG1tRTgcRjqdRiKRQCKRgCAIXKVdKBSg1+tZI0TVarTB/e3f/i1sNhvUajU8Hk9FNwu5tqpUKuFjH/sYnnvuObzvfe/D3r17+VRN6Wt6rVqtxo033ohoNIrf/OY3eP7552G1WvH+97+/jPjVQhRwaTro4MGDLKXI5XIwGo0wGo0oFAqIx+O8sdhsNoRCIWi1WgiCgGAwCIvFUtW5kLxDTv7khMvhcMDhcFRtfAD4kDA3N4exsTHU19djy5Yt570uEokgFArhjjvu4N8DzhHErq4uXHLJJfjP//zPyg3+94TRaOQDm9frhdPpZM11LpdDV1cXenp6atZ7NZ/Po7GxkTNFGo2GdYyhUAgPPvggurq60Nraiuuuuw4tLS0YHR3Fs88+i5aWFkQikTKrnkohm82yLEOtViMUCkGj0XAmRqVS8X6oVquZAMqj0vS1wWBAMBhEfX09H9jp9QouDIUAVgiFQgHJZBJ6vR6iKEIURQ7Nk8UA+U5RRTARD1EUkU6nkUqlsLi4iFgsxkJfURTZs6pWUCqVEI/Hce+998Lr9eKqq67CqVOn+AQ6MTGBZDK5rIXN/Pw8+vv74ff78bGPfWxFxvfCCy+w+WtnZyfMZjOGhobYpJeuDy0i8mpAWqzkH6VSCXfccQdKpRLOnDkDnU6Hbdu2YdeuXSsy/qUoFouIxWIYHBzEiRMnMDY2Bp1Oh+7ubkSjURw5cgSlUgn5fB4ul4vvFbIXMhqNMJlMiMViuPvuu+F0OtHW1obVq1ezqLzaoDHkcjnMzMzgJz/5CYxGI6fgaeMIh8McLejp6UF3dzeOHj2KXC6HYrGIbDZbtTnQphaPx1m7m8/nudiAyFMmk0Emk6naOAFAEASMjo7iyJEjGB0dhd1ux9jYGLRaLYxGIzKZDPR6PU6cOIFwOIzJyUk8+eST3OWE9MySJGFhYQHhcBi//vWv0dbWhmw2i0AgwPrnRCKBhoYGfOADH6jafIk40YE6lUpxCjgWiyGRSPDrag2kg5Vr56jqlyRE4XAYt99+O7Zu3QqHw8EeqKFQiA9LlZ4b6UeLxSIEQYDH40FTUxMmJib4wC2XFNAhiQig/Ou1a9eiv78fqVQKxWIR8XgcyWSyovN5PaJ2WMMbHPl8no06qQpTrVYjn88jm82iWCzCbrdzNRNtbLlcDoIgIB6Pc+WgTqfD6tWrMT8/j3Q6XTUCuFxkKB6PY2pqCgMDAzh16hQAsAUEEd1kMol9+/Zh/fr12L59O/9uPp/H5OQkHn/8cXi93hUjgACQTCYxPj6O+fl5xGIx9PX1wWazwWKx8IJD86JKQKo2W+oyn8vl8PDDD6OpqQlTU1Noa2urWAovEolgbGwMx48fx4kTJzAyMgKbzQa3242BgQEMDw+zpICq6ORVjoIgYG5uDqIoIhQKYXh4GL/4xS9QX1+Pbdu2we12o729HX19fctW2VYa8Xgczz77LAYGBjhKRSl5usdoI4/H45iZmWG9EGmjgOpu5PPz81hcXORDHG1y5H82Pz+P2dnZqtrApNNpJJNJXo8mJydZlgKACdzk5CRyuRzGx8cxPDyM1tZWuN1uAMDY2BhEUUQikYBGo8GTTz6J2267DV6vF4ODg3x4okNXNUHrsF6v53uKDk1zc3OYn5+vuYM2Qe7vSRkLAKirq8PExATWrFkDr9eLtWvXoq6uDsBZtwmz2Qyfz1cmb6kkKM1uMpmgVquxceNGeDwejI6OckXv0tcT5ARQkiS0tbVh06ZNyGazcDgc3E1HwcVRe3fzGxT5fB6RSAT5fJ5vTEmSkM/nuTpLEARYLJYyoTvd4LSxJZNJ1NfXY/Xq1RgeHkYikahIqHs5sif/Xjqdht/vx8TEBPr7+/H888/j0ksvhc/nwyOPPIJAIMALjU6nw4EDB7B9+3Y+6VEEZ3BwEJOTk/yercSCe9lll6GzsxNDQ0M4deoUBgYG8NnPfpY1fRR5JbJH5IKiBHRtKDpbKpXw6U9/GsBZsfjGjRuxZs2a13zcS1EqlTA0NIT77rsPBw4cQLFYRF1dHVwuF3uzJRIJ1v5RFSZFOaLRKPL5POx2OxwOBxKJBJqamnDw4EEkk0n87ne/g8ViwZ49e/DBD34QmzZtWvE5XQzZbBZjY2N48MEHywThpAMyGo3c6oosL4aGhtDd3Q1JkhCLxaoaFaCOGbOzs/D5fLxp0zxyuRwsFgump6cxNjaGG264oWpjLZVKWLNmDRoaGmC32/HMM8/w+0sWI2RoTQeKqakpXHfddVi/fj2SySQeffRRiKKItrY21NfXw+fzwWq1QqfTsVaN0vRr166t2lzT6TTLP8xmM5NRvV6PbDaLSCSC+fl5BINB1l7XEqhgMJ1Oc+WvwWBAe3s7nn32WbS3t0OSJGSzWeRyOeh0OlitVmzevBmjo6NIp9NVaZ1mt9uxevVq6HQ6tLa2YseOHUilUgDO7TPycdH6K++qBYCfm3e/+91YWFiA0+nExo0bFf3fq4BCACuEfD6PRCLBuoZYLIaJiQl4PB44nU5O83o8njLyRxsDcNaHiggktcyhh3olQWRIXpVF6U+KUB47dgy/+c1vMDs7i87OTuzZswfPPfccNBoNrFYrgsEgJEniFJ1Wq8VDDz2Ee++9l98D2tQFQYDVakUkElkRLZ1Wq0V7ezva29vxlre8BQDw7LPPYnJyEgaDAYIgIJVKMUHPZDIcHTCbzawBzGQymJ+fx4YNG3D//fe/5uO8EOiAQC76R44c4T7EW7ZsQTab5ZaBAFhukEgkOEqmVqu5kEUe8UilUmxPotPpsLi4iMceewwajQZ33XXXaxo5W05PtfSgQa/J5/M4c+YMHnnkEQwPDzOhTSQS2LRpEzKZDILBIBMqm82G6667Ds8++yyTQ9LPVhM+nw+pVApqtZpNqfV6PZvYGo1GRKNRBIPBqkacqIDJarVyH1afz4eNGzdi/fr1WL16NVKpFKd6XS4XNmzYgEAgAL1ej0gkApPJhPr6eq5GjUajeOmll6DX67kFHlmUVLPDxtDQEI4fP450Oo26ujr2zTOZTEilUhBFEWNjY3j55Zdx++23V22cF4JarUY2m0U8HmdyRHNwOp1wu90YGRnB6Ogo6uvr0dTUBKvViu3bt2NgYAATExPo7e2teEFId3f3eVZHd911F+81wPl6v6XBDvqZ0+k8z4dSwStDIYAVAumPTCYTp0SSySQEQeAUEEWUKIVFVVKRSATpdBparRahUAhOp5MjamRgupKQ65PkVX4A8Pzzz+Opp57C/Pw8TCYTNmzYgIaGBuh0OgSDQdac9fX1wev1snaICkKMRiP3QiZSSVG4eDxekWIKiqTdddddEEURer2euwIQWZX7aAmCwL5VGo0GHo+nouJw+n+++tWv4uDBgzwW4GxLKPIA83q9ZZoZOjxQJDaTyUAQBBiNRjidTuTzeVitVsRiMczNzaGrqwsejweZTAZDQ0OIxWIr2jWE7i35CZ/0lydOnMCvf/1rPPzww1yIU19fj0QiwZt2NpvlYqlUKoVnnnmG2yrqdDqMj4/jySefxHvf+94Vm8MrYX5+nltaAeDrQzYdarWa9VkzMzNYtWpV1cYKnO1M5HA4EA6HOfPQ2NiI0dFR+P1+ZDIZvl5utxs6nQ7/+Z//CaPRiF27dqFUKuGFF15gTVY8Hse73/1ujI+PY2JiAn6/H/l8Hk1NTVWb49jYGMbHx/m5SqVS6O3t5cOERqOB3+/HyZMna5oAZjIZjrCKoohCoYC1a9dCo9FgzZo1SCaTbBum0WhgNBrh9Xrh8/lqppjQaDTCarVyZkVOAOVVwDRerVaL+vr6snWJXleLxuO1BoUAVgiSJCEQCKChoQHT09Po6+vjCuBYLAa73Y7Ozk7k83kuzyeBvsVi4eihx+PhU7bRaOQHf6XR39+P0dFRTE5OYnx8HCMjI2hqaoJOp+P2PIODgwiHw2htbcU111zDlYxzc3Nob2/nryVJgkaj4Y4oVquVozy04adSKZw4caIikQGVSoW/+Zu/wSc/+ck/mMhVeqE5ceIEhoaGIIoijEYjFw75/X6oVCpYrVYAYOJXKpX4oFAqlRCNRuFwONDa2or5+Xk8//zz6O7uxrp16zA7O4sbb7wRjY2NmJmZQTgcRigUwsDAAK655prXbA5L3zN5BwCCz+fD//zP/+DZZ5/F3NwcR/6cTidHoF5++WWOGlAPUargpkIpi8XCEcDp6emq2ayMj48jFArxBkaFBmRNUygUmKTPzc1VnQACZ6OB73//+2E2m7Fx40YcP34cDocDer2e+5UbjUb09/fj/e9/P1ef9vf3o7GxEXq9HiqVCqlUCrfffjsSiQTbYTU2NqKzs7PaUyyzFqFrQ/KcpcbEtYhsNgu/388RWVpLbTYbUqkULBYLgsEgp1hNJhP6+vqwd+9eXH/99csa3FcStO729PTg+PHjEEWxLOMkX5cpek7kUKvVorW1FQCYsCvE79VBIYAVQjabxfz8PFdkvetd70IqlUIymYQkSexl5nQ6EQqFEI/H2ZOOOoNQRe0vf/lLPpFTNG0l8W//9m946aWXkM1m+YG78sorceedd+KZZ57BAw88gGg0Cr1ej7q6OgiCgOPHj8NoNHJrNfq5yWTiButAeUifUmHyr1caFH194YUX8N///d9sh5DNZiEIArLZLPL5PEcm6VRZKBQQiUQwNTWFW2+9Ff/yL//Cf7MSi88Pf/hDLC4uciUsRS5dLhcymQxSqRR7zQHlqRSLxQK/349t27bhXe96F9asWYPBwUH87d/+LR544AEYDAZ897vfxUMPPYR0Og2VSoVMJoOXX375NSWAS0ESgbGxMRw4cABnzpzBzMwMcrkczGYz6uvrkUwmodVqOfJE9xhFZbPZLHQ6HRwOBzQaDaLRKABwlWQ4HMa99957QVPilcb8/Dy3taKoLUWSgXMRQSr8qibofjEajfB4PPjlL38Jt9uNmZkZGI1GJJNJjhC63W6sXr0aIyMjWLt2Lex2O3Q6HeLxOMLhMHdsmJ6eRjgcxuzsLMxmM/r6+nDllVdWdZ7yvrkajYbXHbn+l1KstQhyjiA9OBUXAmD7I3oe5LDb7fiHf/gHGI3Gqvt9FgoFaLVadHV1wWg0IpVKMfEDUBahlLevo8+pX7CC3w8KAawQKCXX2dkJURQxMTGB9evXQ6PRIBKJwOfzwe12s6kvpXapHZHD4UA2m8WWLVtw9913I5fLcah8JYXt5K6ey+VYC6fVahEIBPDVr34VPp+P03WiKHLaxOfzcUWa2WxmMkUPdT6fL9sEafGlYpB0Os0atkqAOqv4/f4yaxGNRlMWVaLWStRPc8eOHdi0aVPFPcJOnToFSZJgNps5nVMoFDA+Po73vOc9OH78OGKxGC/ulBam+4t6gY6Pj8Pj8WDnzp34/ve/j89+9rPo6OjAfffdh0OHDkEURajVagiCgP7+/td8HrlcDo8//jhOnDiBqakp+P3+MruWfD5f1gUgl8thcXERADi1q9Vqy1LbcjsV2tioqlCSJLz44ouv+TxeLcimgiIYZAFDhwza6OgerAWo1Wo2pPf7/YhEIpwizWQyMJlM8Pl80Gq1aG5uxmWXXQaNRoOxsTEufKNiI3IGoPWE/FCrmQIuFAocJQfOmalT8RR5Nla7UvlikK+/1CKNNNoU/VtcXDxvr5D3pK8FGAwGjuBRwcdykBN2qiYGyiO5Cl4ZCgGsEAqFAtLpNPse5fN5dHR0cO9Js9mMXC4Hm81W1tWBTs65XA56vR7Nzc3Q6XRIJBLcNWQl28GlUimsWrUKFosF6XSaiwVEUWR/L3nEgrRMWq0WVquVI5ilUgkWiwUOh4PtREjzRJs4GSsToWlpaVmxeRGIIHR0dODjH/94mSUCaRKpylReHUzzIkE7UNk0MKVDRVFkAqRWqzE7O4tsNgur1Qq/38/RZQBlBR/5fB5jY2Pw+Xx46KGH0NjYiL6+PnzpS1+CzWbD3//933PFIG2QXq/3NZ/HD37wAxw/fhzBYBCJRIJ1stTNgLSw8s05kUhwlIYKWSwWC2tm5Zs5FbMsjdxWC/RsyyMYQHnrNSqyqpWUo16vR1NTE1QqFYaGhrhgJZlMslUMddchkh2LxRCJRFj3Rx02FhYWAIAjt7lcrurWKlartaw7DKV8KSpFz3m106QXQqlUYn9Z8i2ltYgKiUivuVTrV2s6OcqyvFpcrFuNgleGQgArALlhJZk/b968mZ3bDQYDDAYDotFoWRUwAN4AiXxptVq43W7EYjE+ha+kua1Op8OqVavYKJgqjuPxONxuNzo6Osq0exSx1Ol0sNlsvDmTzslutzMhoYedUmBEBA0GA/dEXmnIK2oppSqPzlC0ksZLv0MFOKVSCclkkqsaK7GYknkuHRbkRSBGoxEDAwN8yKAKYDLwpc2Nqrf9fj9H+Xp6evCJT3wCN9xwA+LxOPcWpde+1sTp9OnTeP755xGPx/m+Ih82+SZM/8q7r9C8iZxqtVoeZ6FQ4LkCKLOLoQhztSC3eKKvaVOm79M4q70x0/9PliJGo5Gr4OkZoMIoauel0WhYN5rNZrnAaHFxkTXNdJilDEG1/SVtNhtsNhtfG3nBFz3ztCbVKnQ6HTKZDD9HdLCg6Ov4+Ph53T6qfX8tB8q60H5CJHwplo5dHjlX8OqhEMAKgKp75af6q6++GidPnkQoFEI+n0cymUQmk0FnZ2dZKpQIILWSy2azaGpqQiwWK/MTXCnY7Xa0tray3QylpV0uF1slAGAvL0rl0EkUKH8o5ZWe8u8tfW2lFif6v2dnZ/GDH/wAVqu1bAOQ26bINSlEPPR6Pa699lpcf/31FSOA1PCcPmiTisViaGhowKlTp2A0GlkMnk6n2Y6HQKTRZrNBq9Uim81ibm4O//RP/4Rt27axxQqlV7RaLSKRCPx+Pzwez2syj6NHj0Kr1bJukQ45yWSyzNqIbC2IxFFTeyocSqfTHOWTGyvL51oqlVhyUCqVEA6H2RS3kpBrMeX3Cm1ydPggzWktgCotdTod+vr6EI1GOS1K94cgCNxGbXZ2lqv929vb0dXVhWAwiImJCXR1dXHGwufz8bpYTVit1rKiKaPReJ7pu9FoZIPrWgOtO+l0mjXLdCgny7BTp06Vme7Lf6+WII9QLi28kbeDA1B2wJMXQtbivGoVCgGsADKZDMLhMN+8pKc5evQoNBoN3G4321j4fD4YDAaYzWY+Iet0OrjdbkSjUaTTaXR0dGBwcLAsCrKS6OvrK+tKIEkSFhcXMTg4iHg8zsbNDocDTU1NTFZpM5NHCIlULdU6kd6DHnqtVouGhoYVf5Bp89m2bRv++Z//mZuSC4JQtsGpVComhRSFbW9vR1tbG5qbmyuqPSGdIkWT6X3z+/1sh6DRaNhAnD4otSh32SddJkV5jh8/jm9/+9vYvn07nnjiCeTzeXg8Hrjdbni9Xjz66KP48z//89dkHuvWrcNvfvMbjhKRBpaqRFOpFI+bIpnyxZ30jaVSiaOVdJ9ZLBZO3ZtMprIiC7VajSeffBLve9/7XpN5/D6g8cp9NeXfp+/JrZdqAcViET6fDzMzMywLSKVSyGazkCQJY2NjGBoaQqlUQiAQQCgUgtFoRFdXF3bv3o3x8XE8/fTTcDqdTPbpPqx2BJAIIEWdSRcnP6yaTKaaJ4DZbJafGaPRCL1ejzVr1uDb3/522f5Ti6DnwO/3cxs7OcgajCB/fkhz3tPTU9ExvxGgEMAKQBAExGIxAOB2bolEAn6/H263G7lcDpFIBKIoYm5uDh0dHWX6KxLvu1wuSJKE7du34/Dhw2Wh8kpCr9ejq6vrglYaGo1m2T6/tQyLxYKbbrrp9/qdTCaDiYkJjIyM4JJLLlmhkZ2PBx54gNuGFYtFjqhQFMNms7EWjlLBALivbzwe5++TzpE8AdeuXYvp6Wm0tLRg+/btTL5o47/22mtfs3ns3LkTX/ziF/G9730Pg4ODKJVKnKZSq9XweDzQaDTs5UcC8WKxyHOhKno5YSLiC4A7OZhMJrhcLthsNhSLRbz44otVI4AAyg5B8q/lthfVTmfJI5WFQgFzc3Ow2+0wGo244447oNVqkUwmEQgEuP0gtd7TarXw+Xz47//+b/zqV79CPB6HWq3GSy+9BK/Xi927d+Pqq6/Gxo0bqx4BlBejETmnw4O8olauE6wV0AHbarXCbrfzmOnrwcFBHD16lDWcpP+ttu5yKYgATk9Pc4W/PCtEByQ6gMv3vXw+j5mZGezZs6dq43+9orbugjcostksEokEzGYz0uk0enp60NTUBIfDwV5YDoeDK3rJJkKeDqJWcslkElu3buW2PxSZUvCHgSJChw4dwtve9jYkk8lXjOTJzZUNBgP+7M/+DDt37gRQmdR1b28vrFYrV4tTD+P5+Xmo1WoYDIYyDzNK3WezWbS0tHDxkU6nY4shuf9iMpnE/v37IYoiL8YGgwE9PT2vuWfbpZdeiksuuQQnTpzAwYMHuTPB7Ows0uk09Ho9W4rIrXiowhE4Zx9EmyFFmeXvAQAuXvJ4PPjkJz/5ms7j1YKiS0ujMUQGl0YCqw15hJKuw9atW7Fv3z6cOXMG8/Pz7GE6MTHBnp/A2YOgw+GA2WzG6dOn0draimPHjuEtb3kLkskknnnmGQiCwEVU1QIV2wEoIxUkN6AMRq2RJgLpKOmARIWDTz75JL7zne8AALeKW64QpBYgl9Ysvf+XOxzJC6WKxSJmZ2dr6rl5vaA27+g3GKgPo16vRyaTQWNjI4uhA4EAv66urg52u51tN5xOJ+vRSNfh9Xo58ub3++FwOKoeKXg9g6IPO3bswMjICHvKUXqL0tOU/gXAvXMtFgunT+UkY6UXoKamJiauRPBUKhWuvfZatuUxGo3sqp/L5TA3N4fR0VFoNBq0tLRwdxkS64uiyIQJOGfHQL6N+Xwe2WwW0Wj0Ne8GolKpsGnTJqxdu5bv81QqhUAggPn5ebYhomi43AJCHj0igkhFSJRetFgsbNvjdrvhdDqr5hvW3NwMs9nMGsblxOykn6ViqWphacGA1WpFsVjEyy+/zFFZ8qFMp9Mctd2xYwcOHjzIhwzg7LxHRkbQ2tqK2dlZBAIBOBwObNmypVrTY7hcLrjdbrbhocMdzZ9kIJUoSvtDQJX+RqMRQ0NDGBkZQSaTgdfr5Qpmh8NxXmqbLIhqCclksqyTB32+XERQbhOzkoWQb2QoBLACEEWRu16QONrlcqGhoQGCIMBgMHA0x+l08vdIG0MaFIvFgvr6erS2tvKCrNVqa1rbUeughWVmZgYvvPACduzYAafTibq6Oo4skRUMANY+BQIBHDp0CAcPHkRTUxM+/elPV+z0uW7dOo7MaTQaJBIJzM7OwmQylVVpkoY0l8txx5hoNIrp6WnWWcpTxLRZU9ERVW5TaymqVl8JLNW82e12NDQ0oLe3l6t45R/A8tFWugZEjun6yclhNTc9OjSQnhE4l3aUExCqjq8VqNVqdHd3o1gswmq1IhQKsUwlk8ngyJEjCAaDAM6m8SYnJ9Ha2gqbzcZEpFQqobm5mYkHkd1qQ55tWVqVDYCflWprFS8EcjCgSD8VRHR3dyMajbIFDx16auE9vxCi0WiZFReBiCsd+OQHP9I/0ucKXj0UAlgBSJKETCYDjUaDeDyOt73tbdyDUavVsp0HpYrpAfX7/XyjJ5NJLC4uIpvNorGxESqVinVgtXaKez3CZDJh//79ePrpp8uIA723dB2oIpXE7zqdDjt37qzowtPY2Ij3vOc9mJ6eZhKXSqWg1+tZzE6pFHlahMgPRfJo3uQhSBWEVExhsVhQV1fHEbTW1taKRaUolV3tKNhrDZpPLpcrq96nAgT5taq275w86qJWq+F0Onn85Akpl6eUSiX4fD4+rFLxkc1m48h0V1cXnE4njh07VuYiUE1Q5JuIH0Vg5R55tN7WGlQqFfbs2QOHw4FDhw6VPdcU/SNCSI4GZCBfS6D1Vb7/XSxVvVQrSxp7hQD+flAIYAVA2iRq9H755ZfDbDZj9erVXAUsr3wymUzc2ovMkjUaDdrb29HT0wO9Xg+3212W7lLwh4EWDLvdju3bt2NmZqbMeHhpep0iIG63m7VPlehXLIfBYMCHP/xhzMzMMFGVG3DLid/SyBcRQOrQYLFYeBMmHzGqmiV/NKPRCJPJhKamJuWw8UeC+uKSj6T82ZVHNil9X00s3UxLpRIfZGke1CWEDg3UesztdnPa3WKxcBaDpAQkUaiF+4naPgLlmkf5v+RTWovYsmULzGYzbrrpJgQCAUxPT3NjASokVKlU3CKyFjua0PtOfp9EAukek0eN5d8nyF+v4NVDIYAVAKV1KCrT29uL1atX48/+7M8gCAJ7/ZGA3WazscaGFkhqcr1z506USiW0tbXxA17tKro3AvL5PC6//HJcffXVnBKiD3k3EEqnptNp7jwxNTVV0Spg4GwFLRWeKHj9QO5XKLfmkVc5UhVqrdiOyA9Do6OjWLVqFfcsp7aIVCzR2tqKWCwGtVqNhoYGmM1mBAIBPliMj49zlyD5hl5NkJ0SRcjk7flIZ1YLEdkLgaJ5t956K8bGxrC4uIhwOMxWSCQvoFRxJBJBY2NjzWjHl+qm5al3oLxbzlLZxFI9oLxIRMErQyGAFUAul0MqleJqraamJqjVamzbtu0P/pvUjomiiwr+MNBiEQwG8fGPf5yje1Sh7XA4YDKZ4HQ6AQCRSAQzMzNcqRqPx3H11Vfj3e9+t7LoKHhFUDodAKfcqY8zbWKJRAKiKFY9AgicM65Wq9VoaWnB6Ogoent7MTo6imQyiXA4DAAIhUIwGAxwuVw4deoUcrkckskkawDn5+eh1WohiiLa29sRCoVqprBCr9dz1JuM7uUdaKxWK1wuV81qAOX46Ec/CpPJhG9+85tlVlCkkxseHsb69euxdu3amiDfQDkBJJsa+j4ZhS/VK1NWgzIeFEhRgiG/H1SlWjkGvIFBvTEDgQAGBgbwgQ98AEC51uTVQP6gXHnllbjxxhvR3NyMdevWKR5IrwGGhobwzDPPYGZmBvF4HKlUCrFYDIIgcM9SIvA9PT3YtGkTLrvssqrbWCh4feGZZ57BoUOH4PP54PV6EYvF2CfPYrFg/fr1uOWWW3DzzTdXe6hlUZVoNIoHH3yQZQOzs7M4efIkIpEIrrrqKkxMTMDlciGVSmHjxo1cqa3VajE6OopSqYR3v/vdEAQBhw8fxqpVq7B161bU19dXe5qYm5vDwYMHcfToUQiCwNHJzs5OXHHFFVi/fn3N6eYuhomJCXz1q1/FyMgIBEFAS0sLenp6cPPNN2P37t2oq6sra3VXK3j44YcxMDCAcDhcVowmt38iyxuTyQSHwwG32w2VSsX7qoJXD4UAKlCgQIECBQoUvMmgxEsVKFCgQIECBQreZFAIoAIFChQoUKBAwZsMCgFUoECBAgUKFCh4k0EhgAoUKFCgQIECBW8yKARQgQIFChQoUKDgTQbFB7CKkNu6jI6O4l/+5V9w/fXXo66uDpOTk9Bqtbjmmmuwbt06/h1ySq8lzznyXxIEAQcPHsSRI0dw7bXXYsOGDezz9cILL+D48ePo6urC29/+9rLfqwVQ79zh4WGYzWY0NDTAarWy+38+n4dWq8XDDz+MU6dOYWZmBhaLBZ/4xCfQ2dnJ3Q0qCa/Xi6NHj6JYLLJNhcfjwdTUFL7whS/g+PHjbMBL3TzIhy6Xy3GP3Xg8jkgkAqfTiXe961244447kE6nkUqlkMvlEAwGUSqVcMcdd1R0fm9U/PznP8fzzz/PBrbxeBzr16/HoUOH0NLSAovFArVajfb2dnziE5+o9nDfMFhqECyKIgYHB3Hy5EkcO3YMw8PDcLvd+PSnP41LL70U4+PjOHDgAF544QWMjo7CZrPhwx/+MK6//vqasK6R49/+7d+wa9cubN68+aIG4mT6EYvFsH//fpw+fRqf//zna2o/UVA5KASwwpCTHnrootEoRkZGMD4+jsOHD3OLpIaGBjQ1NaGzs5M9qMi3qZbIE/kZhkIh9Pf34+mnn8aqVaswPDzMpCidTuPJJ59EU1MTNmzYgJ6enqrPgXroBoNBiKIIu90OjUaDcDiMhYUFWK1WrF+/Hl/72tfw61//Go899hgOHDgAlUqF7du3o6+vDx6PBzMzM4hGo7BarWhvb69Y/9rPf/7zePrpp7m3ZyKR4A4GmUwGLpcLWq0WsViMDWHJPV/e45S6U8zOzuKuu+7CN7/5TQDg9l2lUglutxupVAp/8Rd/UZG5vVERj8dx5MgR7N+/HxaLBbFYDLlcDjMzM5iamsLs7Cy6urpgNpu5O4iyOb82oB7Zw8PD+MlPfoL5+XkkEgkYjUaYzWbU19djdHQUb3nLW7j9mMFgQHNzM9rb2+F2u7Fv3z7cd999cLlc2LBhA+644w40NTUBOJ9gVgqSJOGRRx7ByZMnceedd2Lv3r3Ljkf+tdfrxXe+8x34fD58/vOfr/iYFdQGFAJYYRDhiUQiGB8fx8DAAGZnZ1EoFHDNNddgcHAQCwsL6OrqgtVqxa9//Ws8/fTTWLduHVavXo1t27bB4/HUDPkDwBFJj8eDhoYGSJKEeDwOt9uN559/Hr29vfD7/Uin03C73WhpaQFQ/b6N+XweqVSK++QCQFNTE7fmo56tp06dwvT0NKampvChD30IdrsdZrMZOp0OmUwGWq0WDQ0NSKfTyOVy3Cd1JREIBODz+aBWq2E2m3mzIjLudrt5HPLercA5wk6gz/V6PRwOBzvwk4kvAAiCgHvuuQdvfetb0dzcvKJzeyPD6/VCEAQYDAa+btlsFrlcDvX19XwA8fl8KBQKiMfj3IVGwR8GIj6pVArHjh3Dfffdxwc2Mnc3Go38HF922WUQRREGgwEGg4HbjhUKBRQKBej1euTzeQwMDGB6ehp33HEHdu3aVbX1TKfToaOjAxMTE3jyySdhtVqxdevW88ZDXx88eBA/+tGPMD09/Ud1o1Lw+odCACsEWoREUcQjjzyC2dlZpFIpJBIJ+Hw+5HI57Nq1Cy0tLcjlcujr60M8Hsfi4iLy+Tx0Oh2mpqZw4sQJ9PX1YdOmTWhvb6+J/pRERvV6PZxOJ3Q6Hfr7+3HppZfi1ltvxcGDBzE4OAiNRoPW1laOClaTxJZKJeRyOU6RUl9W4GyU1WQyQavVwmAw4KMf/ShuuukmrF69Gk6nsyx6Rr+n0WhgMBgQjUZRKpU4jbdS+NWvfoXJyUkkk0kmaSqViiN6RqOR0z30fQK1T6IOD/S5nPARKaHUt1arRSAQwG9+8xt88pOfXLF5vdHh9XqRSCT4OgHgFmkEui8FQUA4HFYI4B8JuvfD4TAeeugh7pOrUqnOO6zp9Xro9Xp+Dqg/cC6XA3C27y61ipMkCT6fD/39/XA6nVi7dm3lJ4ez8zMYDNBoNDh48CBSqRS8Xi+uvvrqslZ7Y2NjeO655/Dss8/ixIkTAMDzVPDmhHL1KwTqV9jf34+BgQFOMbpcLtTV1SEajcJgMPDndXV1HIkxm82w2+2Ynp5GIBBAPB7H3NwcbrvtNrS0tFQ9Grh0AVWpVDh27BgymQzWr1+Po0ePYnR0FM3NzbDZbMv+XqUhSRJH76jFEHCuyTiRo0KhgBtvvJHbEWUyGd6sKUVHPTX1ej2SySTr7VbyuuTzeWzcuBHBYBCpVAqZTAaCICAUCvGcLrS409yWgyRJPL8tW7bA4/HAarXCZrPBZrPBbrev2JzeDAiHw5AkCSaTCTabDbFYDJIk8UGCvm8wGKDT6RCPx6s95Nc16FlOpVKYnJzE+Pg46uvrYTKZkM1moVarodfry57VVCpV9jVlODQaDVQqFUcDTSYTisUizpw5g9bW1qoRQABIJBLQarUIBoPYv38/FhYWsLCwgE2bNkGj0WBsbAyDg4PYv38/5ubm+FBHxFbBmxMKAawQSOfz+OOPw263o66uDlarFW63GwaDgaM0dDItFoswm80wm82w2WxoaGhALBbjpthPPfUU1q1bB7vdXlObcj6fRzKZhM/nw+LiIpqbm/HSSy9xiqsWGpATsRYEgdNwdKqnVDCd8CVJgsVi4UiAWq2GwWDgTYCE/MDZ07ROp0OhUODewSuF22+/Hdu3b8fi4iK8Xi/8fj+CwSD3/hwbG4PVal2WhC73PWq0nslk0Nraiq6uLnzkIx/B+vXr4XQ6mQAq+OOQTqeh1+vh8Xjg8XgQi8UQjUZhsViQTCZhNpvhcDig0+lgtVohSVK1h7yiEEURoijCZrOtyIGQotuLi4s4fvw4P6PyrIXb7YbJZOLnORqNQpIkaDQaTg2TfjCTySAWi7GMgkjXwsICJEmqWkYmGAwin8/DaDQiGo3i2WefxeHDh3HVVVfBYDDgySefRCwWg8FggN1uh8FgQCaTqboMR0F1oRDACiEej+Oll17ik30qlYLRaIQoiohEIlhcXERjYyMymQzy+TwEQUAkEkE4HEahUIDZbEYul4NGo4FOp4Pdbkd/fz9aWlqwfv36ak8PwNmT88LCArxeL0wmE0wmEwRBQFNTE7xeL5LJJOLxeFUqZuWggggi08C5aCS9x/QhSRIEQeANgyJ71KS8WCzCaDQil8sxkUyn01CpVDAajSu2wHZ2dqKzs3PZn42MjGD37t2sV6JI5VLIReFEYgOBAL7//e/j8ssv5xSlgtcOGo0GFosFZrMZdXV1qKurQyAQwO7du3Hvvfeivb0dLpcLRqORI4GvRxSLRQiCAABl0XCSHNDXs7OzGB8fx+WXX74iB1k62E1OTuLll1/m+12SJBQKBT5cU7GT0+lk+YcgCCzbEUWRtc3xeByNjY2QJImjiIIgwOv1XvCZXGnQe6rT6WCxWHjM+/btA3CW6Nrt9jIXAFrDagGFQoGL1OSQy1iWw9J1jQIplAVRcHEoBLBCKBQKSCaTqKurg8FgQCwWQ6lUgtlshtFohMVigdVqRTqdRqFQgMVigSAIvICJoohEIoFoNIpsNov6+noEAgEkk8lqT43x5S9/GT/+8Y8BAB6PBzqdDvX19chkMigUChgbG8NvfvMb1NXV4cMf/nDVxkmaHlosRFGE2+1m3RyRcL1eD5fLBZ/Ph6amJqjVajz44IOYn5/HunXrcN111yGXy+HkyZPo6OjgCCJFGEOhEBoaGlZkDqVSiRdveXoKANauXVu2AF4o6kqb8dKvr7zySq6CpN+lv6Usqn8c7HY7dDodstksgLPXxul04jvf+Q7uv/9+5HI5lh6sdBR5JUDPQCAQwHe/+10UCgX85V/+JXp6evh5k2/mQ0ND+NnPfoZMJoN3vetdKzKm8fFxnDx5EpFIBC0tLUzsbDYbzGYzZmZmEAgEUCwWUVdXh46ODlgsFoTDYeh0OkSjUYTDYWi1WqxZswZ2ux2xWAx2ux35fB7ZbBZzc3M4efJkVQhgoVAAAF6/yL6K1jGdTodSqQSdTgedTseFR7SnVBu5XA4TExPwer2IRCKQJKlMWkMFbpQZozWLnhOys1Kr1TCZTFyh3draWs1pvS7w+lpdXsdIp9MYHBxEU1MT0uk0rr32Wq6KFQQBWq0WDocDkiShtbUVTU1NEAQBbrcbDQ0NaG9vh0qlQiwWw9jYGBoaGhCJRBCJRKo9NYbJZILdbmctWjabxeDgIMbHx2Gz2aDRaDA7O4sDBw5UlQAKgsCbAACupP3IRz6CD3zgA9i5cycEQcDIyAhaWlrQ2dnJKe3BwUGuDkwkEujv78epU6ewdetW+P1+Tg2tdGpFXkRwIeRyOeh0ujLNn3xsy2kB5REnuTZSwWsDh8PBhw5KuZP2T6PRcNTMYrHA7XajsbGxyiN+9SDSqtFo8PTTT2P//v0YHx/Hyy+/jCuvvBJXX301MpkM6uvr0d3dzYeUbdu2rRj5A4Bjx45hfHwczc3NKBQKCAaDfOBbXFxEW1sb2trakM1modPp4Pf7YbfbWX+pUqnQ3t4Oq9WKxcVFaDQaeL1eiKKIdDqNUqmESCSCM2fO4G1ve9uKzeNCIMJEFlBEmKgQjbIddPCVJInJVCUJIN0btKZks1kcOXIEX/jCF1AoFNDU1MSpdpLakEOD1WqFXq+H0WiETqfjtDwd2Mm1QZIknDlzBk6nE7feeive//73V2x+r0coBLBC0Gg0nNI5ePAgnE4nBEFAMplEJBLBzMwMVCoVwuEw5ufnMTs7i0AggMXFRSSTSUiShPHxcQiCgFgshu7ubhSLxZqoAiY0Nzejrq4Oo6OjMBqNiMfjeOaZZ3ixIR3g5s2bAVTHN4tE4aQDkiSJ09F79+7Fz3/+c9bz3HPPPcjlcvj3f/93PPfccxgbG4MoirjiiiswNDSE733ve7Barfj617/OmiFKuwJnF7xEIlExjab8/TQYDLwoXuw9lv9ckqSyKufXEyYnJxGLxVBXV1e1NNyrgdPphNlsRjgcRigUgs/nw65duwAAjY2NbD0EnE3bWa3Wag739wY9S6dPn0Yul4PNZsPs7Cz+8z//Ez/5yU841Ueau7a2Ntx6660rNp5isYhYLMaSG0mS+PPW1lbkcjmEQiHWV9tsNjQ3N8NsNrNxOqV6Y7EYEokEbDYbF5GR1EMQBCwuLq7YPC4Gqlom2QpwVuYil6nk83moVCrWLNPBMBQKVWycFIkkPP300/j+97+P1tZWljjRuKjwRp6lyeVyyGQyrL+mv0UyF/p+W1sbkskkTp48icOHD+PSSy+t2Bxfb1AIYIXhcrmYINhsNrZNKZVKaGxsZBGy0+nkEDgtREajEVNTUzCZTHA4HIhGoxz+rwUYjUb2yALOGa/S/AqFAoxG40Wd6lcagiBwykClUsFsNnM6bvPmzejv78ejjz6K5uZmvO1tb0Mmk8EXvvAF3H333XjkkUfw0EMP4ejRo2hsbITH40Fvby+sViufrmmuRDIrSQDlxM1kMnEBwcWqfpeCNpBaxFL9GHB2E8lms3jhhRcwNDSEnp4e/Md//Meyv0+2NnJrjEqDJCByY+5t27ZBpVJh1apVnHYkKUEtHfBeCfL079jYGBuTU0QHAG/uxWIRmUwG2Wx2RQ8cx44dg9frZX0cHQAXFhawatUqlEolxGIxXouz2Syi0SgaGhpgt9thNBqhVqsRiUSwsLDA2jmNRgO/389ZD6vVCrPZjIWFhYqnHsmdIJ1O86G2WCyWdTGSWz5R5DmXy3GDgUqBrnU8HofP50M6nUZPTw8ikUiZZpoIHq1bkiTxfUOga0nFeUQAKbLs9XrZjkzB8lAIYAUgiiLC4TD8fj+am5shCAIXSdhsNu64oNVqWaQrrwq0WCywWCzsByYIAkRRhN/vRyqVqpluAUtb1MkXfbnfXDV1TRSBkC8uhUIB4XAYq1atwgc/+EGMjIzAbrdj/fr18Pv9yGQy6O7uxi233ILm5makUim43W72NKQ0fD6fP+89qBbZ0Ol0nHJ5tSSCCHutQr45zM/P4/Dhw3jkkUfQ0tKC1atXQ6fT4eTJk3j44YfPS8UVi0UsLi5icXER69evh8PhqMYUYLPZOEpmMBjYPB04G0GnAikigLVMyJeCnusnnngCs7OzrGGkylM5yOVApVLB5/Ot2JgojR4IBLiqv1QqlfldUsV/KpUqS50KgoB4PA5BEJBIJPh6kAn84uIiOjo6WE9MVjPV0J6JoshkmsYp9/oEwBHBbDaLbDbL16BS6O/vx759+2A2m3HJJZcwWSOiSgciub0W/btUk0wgP1eKFNL6RfIVxebm4lAIYAVAVb1yvQJFnTQaDVKpFFKpFGKxGPdgJYJHmiCVSoV4PM7VaxaLhTUf9CBVG3LDVDmWtiOqZuWZTqeDyWTi942iE16vF21tbdixYwe6u7sBnBXsOxwO1NfXo1AooL29Ha2trfD7/dBoNGhsbOReudlsFg6Hg1Ms9G8lq53lrfUuRuQudGDQaDS80dXCgWIpstksgsEgJicncfDgQRw9ehTj4+NIp9PYvHkzrrjiClitVhw+fBidnZ1oaWmB1Wpl+UE4HMbc3BxsNlvVCCCZbZOeiSxIALBERO5L93rSYNJYH3jgAUQiETYRt1gssNlsZUVttGbl83ksLCysmDNAa2srdu/eDafTicXFRczOzmJ6ehq33HILMpkMwuEwH9oymQwAsBZTFEUupKBMBkk8SIPd3d3Na0R3d3fVLLnI1xAAR8CW0/rm83nkcjkmgJWs9D969CjuueceljpQESRFVClVDeC8aN9yXU3obxAxpL8BgAnw4uLisgdCBWdRfdbwJgCFqsncmQiH2+1GsVhEMpnk02Y6nWZT32AwyKHwRCIBr9eLTCYDg8GAjo4OTE1NQaVSIZvN1oRWiMZNWI5IkHamWqDIK9m7kEDa6/UiEAigoaEBLpcLxWIRkiRxEQ55fzkcDnR0dDCJp2gNkXLSFtImXykiJT8pZzIZJBIJrvoDXjkNTJXEqVSqTBdZKciLVJbeN5lMBvF4HDMzMzhx4gQOHTqEo0ePchuvYDCI5557DldccQWuueYavPzyy3j++eexefNmtLe3s51PLBZDKBTC0aNHsXHjxorOj0BRYtJtqVQqJg3U/5dIYi14Zl4IF+ozOzExgcOHD5dVpdMzQuugPEWZyWQQDAYRCoXQ1tb2mo/TYDBgx44dWLt2LWZnZzEwMIB8Po8777wTd999N5ty03OSTCZZJkAV2XSgowKvTCaDtWvXYvPmzdi0aRN6e3vR29uLtWvXVq3ytK6ujts3yp8huoeIWBH5BirfTz4YDPL/OTIywtFUSlHLIb/3KSK4tIc5/bvUlktux3Xy5ElMTU3hlltuqclDbbWhEMAKgMSrFH53Op3w+/3YtGkTbDYbEokEHA4HrFYrRwo9Hg9bj1gsFi7bJ6Gx0WhEPp9HJBJBIpGoKQK43CZOJ7ZUKsVzqOYDSS2fCMViEeFwuEwfk8/n+cSs1+t5w6IFlMi3VqtFZ2cnV3hWA7QQAmetNehQQOT0lTSANO5SqYSFhQV0d3dXpJp56f9PoGhysVjE4OAgDhw4gEOHDmF6ehp2ux3t7e0Azm5osVgMBw4cwNjYGG688UbceuutOHHiBIaHh5FIJODxeJBIJHDs2DEcOHAA6XQaH/rQh6pyreTPBaUiiTTU19eXSRNqlQCSnldeJU7E6J/+6Z/4WZFXfVJ3GToAExkEzjokjI2NrQgBJFgsFqxbtw7r1q3D+973PgBANBrlQhXgnIaR7FRIqwmcJVCSJEGr1SKZTGLdunX467/+65rRaFKVLB3k5JZUpAWmSKZ8LajkPdbU1MQetqTLbGhogFqtRj6fL3u/CXIrK/katzQ6KL8PiQhms1loNBpcd911Cvm7ABQCWAGQsDiVSmFubo4F0ERC6NRGehSq3sxmszCZTGwencvl4PF4MDo6iqmpKQQCAfZOamlpqfY02Sx1qW6JCKFWq8Xi4iIOHjxYpRFeGESyacOSdwughvBy93/Sp9SS1oROyvfccw9ra+R+WoSliyFtCNQj+LHHHsNf/uVfViQKuJSYkl/m0NAQDh06hMXFRezfvx96vZ7TbOTXNj8/zxEcAPD5fLjnnnswOzuLP/mTP0FHRwdmZmbwxBNP4PDhw4jFYtDr9az3qkZnk1QqxZF+h8NRpsMijW86nf69tJuVBj0DFE2ilOkvf/lL3HPPPVi7di0TKLPZfN7GTmsZdaRIJpN46KGHcM0117zmY5V7xlFkiO5/iiBTtw8yfJd3X5ETD7p3qDuQ3Nx66ftTaVB3InnbOnkhERWv0LpVycMd4fbbb8d3v/tdfP3rX4fX68Vjjz2G+fl5zpyIonhe4GDp2vVKhFU+t1KphIaGBnzwgx+sWVlLtaEQwAqAWj9t374dzzzzDBobG6HT6TAyMgKj0cgWA3q9ng2T165di4WFBQBn+4dS1RmZRrtcLmzatAl2u70m2kXF43EsLi6ykBo4P01EBIMa3VezGnM5yIkdgGVPm0sXGNIy1criUiqVcO+9957Xp1iO5cZKr2tsbMTPfvYzfOADH6gIAfze976HwcFBTplLkgSdTgdJkhAOh2EwGLBlyxYA51r4+f1+PlCRV5hOp4PD4UA2m8WBAwcQjUbR2NiIl19+GZIkwWq1or29nQ9Y+/btwwc+8IEVn99SyDseJBIJjIyMMPEj7RZptGq1EwtptWi8fr8fP/vZz/C5z30OW7du5XQcWZNQH3SKygDglDzpo5966qkVHfOFPC3JU07+M0pJEvmTGxLn83mIolimY6uFZ19+cCVyLi+aymazTAJJoiKPwlYCer0egiBwBxYi/62trWUSFTmhfjXvsfz3SBdP15DWkmPHjmHv3r0rO8HXIRQCWAGEw2FMTEwAOLe4vOc970F/fz9H+FKpFDQaDaLRKAwGA5qamtDZ2QmVSgWXy8XpY61Wi5deegl+vx/FYhHz8/OYm5vD9u3bqzrH8fFx+P1+rvy70MNcKBQQjUZx6tQp7Ny5s1rDPQ9yDZ28aln+86Wvp3/lKYhqggxpA4EAWlpaIIoiz0deHSevDpSTWdI+HT9+nCM2cm3ea42RkRHufkHRcNrAAHA7NCJ7VMFJ+ixRFLmpPVkM2Ww2pFIpnDp1CiMjI1yBShs3Raer1Yowl8vxIY7edzoIkWbTbDajVCrVTJcfehZIL0vRMAB44YUX8L3vfQ+PP/44r0FEAMmzlAitPPVLkSlKD69U9fnF7luqul7qVpDP55m4yiOHOp0O+XweqVRqRcb6x2A5iQfNRRTFsoMtcO5wW8mCPKvVCo/Hg8HBQdhsNr5PjEYjQqFQWR/2pRXMF4P8dbSekZ8g6TtrYX2uRSgEsAKgvr7FYhGpVAp+vx+rV6/Giy++yJseRZOoyow2O4qYZbNZpFIpjvqdOHEC9fX1rEmpNiKRyKsq7qAoTjqdrsCoXj3ovZefnJeztFkOy9kTVBJ0nxQKBZw6dYqLCSjaJB/7UnE1/T79jPQ4x48fx549e5gorYQdiVarhcfjQTgcRjKZPK9whSpH5QJ8g8HApNbj8bBcgvRN9NxQSp++RxugJElYXFysWsqexiNJEvR6PWsZgbNFIIIgsDykWhFA2oApakabqvx5OHHiBB588EG8/PLLCAaDaG5uBnA2spdIJMo0gnKjYpVKxXpAuXOB0WjE0NBQRYtzXC4Xm7tTChU49zzJD05ElChyRveP/NBYTWQymbL3WB79k5Mo0gcCZ9e3ShpBA2dJ4JkzZ7Bx40YUi0VMTU2hr68PNpsN2WyWK8UBlKWrX+36Q3OTt4ijamMF50MhgBWC0WiE0+mEVquF1WqFzWZDIBBAOp3mdJdKpUIkEoEgCFizZg1isRgkSeIq4Vgshs7OTmzcuJG7agCoiVRRLBbj9A5huSpBAKyBrCXQ4k/RvKURPjmWalQulGqtNAqFAsbHxwGAoxavNLalJ2y1Wg2j0YiRkRFs3bp1RdP0er0e69ev51RgNptFPB5HMBhEOBxGMBhkLZPcv430sRSFkm/C8srTYrGIdDrNGyO91mw2Y+3atSs2r1eaMwDu7iO/l0wmU1kVarXawNH9v/TgsLCwgIGBARw6dAh+vx9jY2OIRCLQaDTceSaZTHIqTn6QonsRAF9DIon0noyPj1eUANrtds5WyNO8SwsO5O8BaQZfTWSqUiiVSmxnI1+7CPLrQNeCqtHpelWKwPb29uL06dMsXRIEAVNTU3A6nWUWQfKxL81aUBT6QvIWWjOogC+ZTFYt4l/rUAhgBUCaN+p12NPTA4PBwJsSPbjyqI1Op+OFkV5nNpvR0dGBDRs24MUXX2QxdS0UICQSCT7ZLxe6ly9CtUgAaTOSnzQvtMgvlxquBQJIZsevJnVysYim2WzG6OhoWb/klYDdbseVV16JaDTKbRFjsRii0ShisRiSySRXY8ujrNTX1Gw288neYDDAZDLBbDYzIaEogNxahVLHvb29Kzavi8FkMqFUOtt9gtK9BKPRCFEUEY/H4XK50NTUVHGrDuCsZGV0dBTJZJIjlvF4HNFoFMeOHcORI0d4EyaiR6nRfD7PqV3ayMkChlKSS7s2GAwGZDIZzM/PV3Se1FeW1lzg3IFOTkLkc6HiFnkld7V1gIFAgJsGEPGhsS0FjZNS2hRcsFgsFRnrDTfcgG984xuYnp6G0WhEV1cXEokEBEFgqcbSwweldGk/lKeIgfPnSYdfg8HA/Yap3aKCcigEsAIgr6v6+nqEQiGsX78eer0ezc3N0Ol0fPoBwFE0u93OBsS0Ueh0OlgsFnR3d+MXv/gFNm3aVDPpVIpcLpcuItD3yDy5lrDUi4oW9osRKfniXwsbQbFYRCAQKNP1yXGh8cmvGRGOShBAp9OJPXv2IBgMIhgMMuEgQTt5RlJ1oLyPbC6Xg9PphNVq5dSwxWLhTXCpBpXmRhX51YoIkH1TOp1mwkrQ6/UolUpIp9OwWq0wGAwV92SUJAkHDhzAQw89xJpekq24XC7WWpKJMyGXy3FaW64Blt9XRPpUqnPtu0wmE/R6Pae9KwkiffJ0Lo17aVcf+pdaktUSTp48ydproPxQSusSHaLkazNp4xYXF7Fq1aqKzOvGG2/ET3/6UwSDQbS1tWHjxo2YmJiAz+dDIpHgiLA86kdm7sC5yL68onvpgZzmqdVqEYlEcP/99+OWW25Z8bm9HqEQwArAYDDAZrOhWCxifHwcmzdvLquMI8d54BwRiUajSKfTTACTySR8Ph9GR0fR09MDQRCqUsl1IUxOTiKRSCz7QNL4KMqZyWRw9OjRag11WcirepemTJZ77dLPq9lCTZ5ap0gs+WrJIxsX+l35B1UMko5rpaHT6dDS0sI2RqIowuv1IpFIsGemKIrcY5qskQKBAJuo0/zS6TSSySQTDHnEiaprqZikvb29KilWsn0CcN4BQ74Bk/a30gRwYWEBd999N4LBYFlHCY/Hw5E+qiYFwOn1TCYDnU7HpJXIHm3WdA3p+6VSCTabjQmwxWLBjTfeWLF5AmBPT7pX5BW/8msjf3aomlbe77ya62+pVEJ/f39ZwQq97xS9pSIbeWSNImSpVAoDAwPo7OysCAE3GAy4/PLL8dxzz2FiYgINDQ1QqVRIJBLw+/1wOp2wWCw8XrfbjTVr1mBychLhcBgej6dMO7qcXpuuSSqVwsLCAqampl5XLRUrCYUAVgAGgwEulwt2u51PPclkEslkkhuiU3uxUCiERCKBzs5O7l9J+hrqiPDBD34QHo8HHR0diEajNeEXdvz4cYRCoWX1MXJBtUqlgiAINecFSIujXCAtrw6k1xBokZG71FcLtPBbLBZ8+ctfRiKRwOOPP45sNgu3282brFwHJ4dKdbY7g8/ng1qtxh133IFvfOMbaG5uXtEq4OVgMBjQ1dVVkf+rGiCNk1w7SpZI8ugF2dVUWt7xwgsvIBaLwWKxQJIk7rMqJ0m0AVP6FgBbUQmCwN2AkskkEz+XywWPx4Ouri7+HqUrk8kk/6ySiMfjTDTk5Ii+t1QWolarYTAYEAqFuKivFqKBhw8f5sgxUG41RPeZvKp5aZamv78fb33rWyu2j+TzebhcLi7g2r17NzZs2IBAIMCeq6QTpTF2dHTgxIkTSCaT7Isrvy4k8aBrRsGIXbt24YorrqjIvF6PUAhgBUBC16mpKaTTae4o0dLSAovFAovFArfbzWH8+vp6rFq1CqIochpOFEW43W7U19dz2P7MmTNIp9NcDFIt0El6uWq4pVoN0v8EAoFqDPWCKBaLZf6Fy0UxL5QilkcOqgF5lVxvby/uv/9+lEol3H333fjxj3+MqakpOBwOtlygKLMoitxDVBRF/Mmf/Al+9atfVT2q8UaGKIocoaV7Rl65CJzd0NLpNObn5yt+sLj22msxPDyM4eFhzM/PIxaLIZPJsAceALbeIVDkmVojbt26FXv27MHWrVuxbds29PX1YW5uDpdffjmTEYrm0n0bDocxOzuLjo6Ois2VCiBoDjQWuRyESLm8mrSxsRFjY2PYs2cPOzhUC6VSCcePHy+rmJevX0vXX/pabsnz3HPP4fOf/3zFxhyNRhEOh2E0GmEwGFj/RxH9QqGAdDrN65IkSWhuboYgCFhcXDxPXwqAbV9IY3/llVfixhtvxLZt25S17CJQCGAF4HQ60dXVhYWFBTidTqhUKvh8Pni9XjidTpRKJU670Qk6FApxSoseiEgkwubQra2tLHyvq6ur6vwGBwe52nJpddZyESTaAOb///bOM0au8zr/z/Q+d+r2xt0luSRFkRSbqG4VS1CxLSFIZAVwEARBEAf5EiCJPiRB4JRP+RQBQZAix0Acy44UWnaiYkV0QogqlEgtl6SWpMjtZXZ6v9Pn/2FxDu+sKMXynzt3pTk/YMGys+S9M/e+93lPec7S0qaOf/o8UJcpdVRvjPbdiI1WC1slIkAL4e/8zu9gcHAQzz//PE6cOIHe3l4Ui0U+T5/Ph1gsBq/Xi1/91V/FX//1X/PiKimTzYHSh1QvR6k4AGxbA6wLEj3qzXp7e/Enf/InLFBpRnkymcTi4iIWFha4PCWTybC3ot/vx1133YW77rqLJzuQUDSZTPD5fNixYwd6enp4bBnVQNrtdgQCgbasBVpBRGsrcP39ptS7dhYzlRDQ+2G32zEzM9NSIqFH/S81fTWb67ZHZIBMaW2ttRV9aX1O6XyvXbvW1hKWb3/724jFYlziROnaVCrF3fF0/HROe/bswYMPPviZjS0ENbiQKBQ+HRGAbcBqtfLQaxJrtKPO5/MwGAxse1Eul2GxWJDNZtkAl3C73byLm5iYgMlkgqIoCAQCep0aAODs2bMoFAqfiIp92s1Kth4nT57EM888o8MRf5KNNiJAa33PRkGojQxoowdbCbvdjgceeIDnG7/77rvo7u5mr61YLIZms4kHH3wQf/iHf8jmrFvxXL4sUKSMhAZt+CgroK3joiaYdt7fRqOxpTFFURSEQiEMDw9jz549KJVKLDIo1UhpYUVR4PV6b/jQVRQFf//3f8/CkKJQ9NVus95qtYp0Os0CZOP9rPXPo5nGVCpht9uRTCZ1t4Kp1Wo4f/48WzeVSqWWtC/VYmqbb7SiljIy2Wy2refS19eHrq6ulveYxJ72+IHrUUun08kTc4SbhwjANkARvEQigZ6eHgDgeZKKosDpdKJSqbAgrNfrbANBHmnUwUiLaygUQiKR2BIu59euXeNFEvhkevRGMzMbjQbOnz+ve+csQcd7Iw8qoNUnUPt7qtfaCjYwN0JRFNxzzz1Ip9M4ffo0NxVRE9JTTz2Fb33rW5x60/ta+rITj8dRLBa5bonsb7xeb4sApMYxve2SyILDYrHA4XBAUZRf6t8xmUzYtWvXTT66zw9t1rTGySRotdkKbdOENjWsFbB6C8B6vY5r165xfR+tVxsbuwC0+DJqoeaq1dVVKIrSFk/ZjSUEgn7Iat8GqtUqCoUCUqlUi9+SNk1C6Vyr1cq2F1arleskyBaDFh+Hw8ERQr0XooWFhRaLAe3O/kZfwPoiS+PxtgLa3f/GsUkAPrEjBVo7aPX+DD6Lnp4ersmqVqs8H3NwcBAPP/wwjhw5wq/dCmL8y0wikeA5v+TjmUwmAYCj/RQRs9lsW8Li6cuC9t6NRCIt97r2/t74MxtrmOk1VBupF41Gg5sH6dhoPaI0KDVHbPzSjh00GAy4fPmy7psNof2IAGwDTqeTu9zIgDYQCKDZXHdwj0ajSKfTnB6Kx+OIRqNIJBLIZDIoFAooFosoFApslzE8PIyRkREMDQ3pHhpfXFxkE+iNkzE2hvO1HZBzc3N6HXIL2uPVCljtjlq7uG5sdvkiNE2EQiF87Wtf427NcrmMu+++G7t3797UaR9CK9oJIBRNpoaodDrdUkeqquqW88v8srC4uMhTV8jahlLuNJ2pWq2iWCyyU0OlUuFfs9ksEolEW2fpboSms1BwgIYCaCeZUJSTvDXJUNlqtcJms/HIwcnJSdlsdCASh20Do6OjGB4eRj6fh9VqhcFgwC233AJFUbC0tMQdT1SzQbUcxWKRo342mw1DQ0PslfWbv/mbqFQqcDqdXESuFzQiiRZT7dQGKq4G1oWSzWaD3W6H1Wpluwi90UYCtFG9jelQreeUVtR+WtRwK0DH5PP5cO+99+Jv//ZvAazP2X3ooYewbds2ft1WF7FfBrRdwCQ61tbWAKzbkmjHwxWLRczMzOh5uF9aDAYDFEVhI31VVdlqi8YMUsOO2Wxm0WSxWOB2u9mhQVsz2+7aWUoBm81mdmLYWMKinZ5BbNyQ22w2nDlzpqXeXOgMRAC2CWrY0PLss88ikUhgdXUV0WgUKysrANYjAfv27UM8Hkej0UAoFMLIyAh6e3v5hib7mK3A6dOnuamDdpK048zn81hZWeFuv6GhIdx+++04cuTIJ6Zv6IXBYODZlNqUrnZ3TykWbRcdHT8ZLm/F5gl6f8me47nnnuPJMwcOHIDH42l5nbC52Gw2KIqCvr4++Hw+pFIp/gx8Ph+2bdvGHdrt6oztFLSbugceeAAPPPAAf69arSKbzSIWi7E9jbZL2+12w+v1bql73Gaz4cknn0Q6nebJLNqNKJ3vRu9JLc1mE5FIBAMDAy3NP0JnYGhuxbCFIAiCIAiCsGlIDaAgCIIgCEKHIQJQEARBEAShwxABKAiCIAiC0GGIABQEQRAEQegwRAAKgiAIgiB0GGIDozMvvPACfvKTn2BpaQkmkwn1eh25XA42mw3lchk2mw2PPvoofvd3fxfhcHhLz2o9f/48Xn31VbzzzjsIhUIYHx+H3+9HNpvFlStXkM/nMT4+joceegiHDx+G3W7nn90KPnS1Wg333Xcfpqen4Xa7eQC81heQRiWpqorR0VH8y7/8C4aHh3U97o3QNdJsNvGnf/qn+K//+i+Ew2F0dXVBVVU4nU7k83lcunQJhw8fxq//+q/j4Ycf5p/fCp/FlwmtuTMAvPLKK/jJT36CS5cuwe12IxqNwufzIRaL4ZFHHsEzzzyDvXv38uu36ucRj8fx2muv4Yc//CGKxSLcbjdcLhdisRi2b9+O3/iN38DRo0f1PszP5J//+Z/xyiuvYGlpCaVSCdFoFBaLBd3d3XC5XIhGo7DZbAiFQgiHw3C73QiFQvirv/qrLfmZCMLnQQSgDtCCvrq6iunpaSwsLKBarbaMGaJxUc1mE/F4HPPz8wiHwzof+SeJRCL43ve+h7W1NSwvL2NxcRGJRALVahUnTpyAw+Fg41u73Y7Z2VlMTk7ygPtvfvObuP/++9syg/L/4o033kAsFuMxXPV6vWVYvdlsRqlUYnGeSqXw0UcfbTkBSBuEU6dOoaenBwcOHMD58+cxOzsLYH0WZyQSwejoKIaGhlCv1/Hxxx9j+/btAMQT8GaxcRb21NQUjh8/jrfffhupVAqKosBkMiGRSMBgMKC7uxvvvPMOlpaWcOzYMdx3333YtWvXlvw8zpw5g/fffx+XLl2C3+/ntanRaKCvrw9utxunT59GqVTCgQMH4PV6dT7iG0PTPGgqi9frZf9SuvcbjQbPZN+5c+eWNHwXhF8GEYA6QA8GGvXWaDTgcrlQKpXYvd1oNHKEzGaz8fDsrfIwqNfrmJ2dxfe//31MTk5CVVWeWkJRP1VVoaoqms0m7HY7PB4PzGYzMpkMj2H60Y9+hPn5eTz55JO6C1ya0kID4LVm0BaLpWWOsdls/sSkkK1CMpnEzMwMTp06hUwmA6/Xi8HBQeTzecTjcRiNRiiKgl27dsFms2FmZgaJRALpdBrBYBDDw8NbNsr8RcJgMKBWq+H999/H22+/jfn5eczPz/MEH9poeL1eKIqCarWKcrmMa9euIZ1O4/z58+jv78dtt92GRx99VO/TAQCsrq7iypUruHjxInK5HEKhELxeL1RVRaFQQDKZ5GPOZDKYmppCOp3Gzp07MTExoffhf4KZmRlEIhFev2iOrtlsRrPZhMlkQqPRQLlcRqPRwMLCQkvmQhC+yIgA1AEScdlsFrlcDs1mExaLBcVikadS0Gzder2OZDKJpaUl7N+/f8uIjmq1ip///Oc4ceIETCYTiyKLxQK73Q6Hw4F6vc6LKIkq7WB1g8GAK1euYGVlBbfeeis8Ho+ui2utVuOJH5SOJxGoddenY99KIrDZbKJQKODChQuIxWKYn59HMplEuVyG0WjE4OAgrFYrTpw4gb6+PuzZsweDg4NoNBpIJpPI5XLI5/PweDyIRCI4fPjwlojKfpEplUq4fPkyXnnlFZw5cwblchkul4vngNO15vV64XA4oKoqFEVBo9FALpfD5OQkLl68iPn5eQQCARw6dIg3gu0ik8lgbW2N5+AuLCxgZWUF2WwWjUYDbrebJ5ksLi4iGAxiZGQEoVAIFosF0WgU165d42uMJqH4/X44nc62n89GVlZWkEwm4XA44HQ6eXSl0WhEtVoFcH29rtfrSKVSvDYLwhcdEYA6YDAYMDMzg6tXryKVSqFSqfAc4GazCZ/Ph9XVVdRqNY60nThxAtu3b8fo6OiWeDBXKhW8+eabaDQacDqdfKzAeorR7XbDbDajXq/DbDbzjGPtrFOz2czpyOnpaQwNDaGvr0+3c7pw4QJUVW2Z+UtRnGq1ytFBmqFZr9eRyWR0O14tJDb+/d//HcB6NNPj8cDtdkNVVRiNRgwPD+Ojjz7CsWPHsHv3bqTTad58UER6cXERFy9exNDQEHp6enR/QH+RSaVSeP3113HmzBn4fD4A4JSidkMBrKdOKUJOf6Zr7NKlS/jBD36AW265BW63u23HX6lUMDs7i/feew+lUgmZTAZGoxFdXV3o6enBysoKyuUyxsfH0dvbC4PBgL6+PiiKgvn5edjtdgwODiIej2Nubg5LS0v8d+Pj4xgfH+f3RQ9onq/JZEIoFIKiKFhbW+P5wEajkYVhvV5HpVLhtL0gfBnYGuGLDiOfz+Mv//Iv8aMf/QixWAxmsxnVahVut5ujZCaTCRaLhXelZ86cwbPPPov5+Xm9Dx/AerQsmUzC7XbD5/PB7/dDURQoigKXy8Uzc+mBB1yfg6ooCtxuNxRFgd1uh8vlwqVLlxCNRnU9J6pZIoFnNBphNpthMBhQKpX4ddrI4PLyso5HfJ1EIoFXX30VhUIBoVAILpcLzWYTjUYDVqsVdrsdZrMZR48exdjYGCqVCiwWC6e6jUYjXC4XhoaG0Gw28fbbbyOXy+l9Wl9ostks3nvvPTgcDhZ2FF0G1sWfy+WCqqocTabNoDYaHQgEMDc3h3K53Nb6s5WVFVy+fBmLi4scFbv33nsxODiIvr4+TExMYGRkhNOkzWYT+XweqVQK+XwekUgExWIRg4OD2LdvHzweDzcfnT59GpFIpG3nciMWFxfRaDTQ09ODHTt2YGhoCLVaDaqqwmq1olqtwmQyob+/H+FwGAaDgTdGgvBlQARgm2k2m/izP/sznD17FoVCgdOljUYD+XweBoMBiqLwQl+v12EwGGCz2ZDJZPDnf/7nLKj0olKpIBqNcnMEFUibzWYWGy6XC3a7HTabjb8cDgfsdjv/fb1e53TK2toa8vm8rueVTqdZ9AHg99lkMqFcLqNUKvHfGQwGVKtVrK6u6na8RKVSQTKZRCwWQ3d3N0eOaKA9RVprtRoKhQJUVUWxWERvby/27t2LgYEBrnUsFovo6upCNBpFpVLR+cy+2NTrdRQKBdhsNr6fKbJHkb9KpYJgMMhrAH1WtIGiLvRsNov5+fm2ph+vXbuGWCyGwcFBOBwOVCoVFAoF5HI5Pi+XywUAfH1NT0/DarViZGQEw8PDsFqtyGazCAaD6Ovrw8LCAgKBAKrVKmc99IKa74rFIhKJBBKJBIrFIoD16G0kEuGmL4fDAYPBwGUSW6UWWxD+f5D8jg5cuXIFDocDtVqNxVG1WkU2m0WpVEIymUStVkOtVuM0BD3IFxYWcPLkSdx55526pYIpNdpsNmE2m7mAvVKpoF6v86JOKeGNaDtre3p6kEwmAUD37rqxsTFMTk6yGKIIGp0rNbnQ32+V+r9cLofV1VVOsbvdbv4cSNAajUZYrVa2t7HZbMhms3w+FKWyWCxIpVLIZDJQVXVLnecXDSp7oOgxbXq04qHRaGBoaIhrganEwGg0ol6vo1qtcgkFrQvtQlVVdiOgqOUHH3zAKd9arYZGowGbzYZarYZyuYyxsTEMDQ1xE5jJZEKpVEKxWESz2YSiKHA6nVhaWsLU1BQcDgd3n7ebCxcuIJvNwmKxoFwuo1wuw2KxoF6vIxwOw+l0Ynl5mUtaSqUSZmdnt7y1jSD8oogAbCO1Wg1nzpxhwUOpRGBdbFCkgFJvlJYja4JCoYBms4n//u//xpEjR3QTgBQBJPuEVCr1iZ08pbC1TR/aL4omlMtlVCoVLC4u6p5y3LZtG6xWa8tn0mw2OfpH7zc9JBqNBvr7+/U8ZADgKIbRaES5XMbi4iK2bdvGaTn6onpM+lVVVSwtLXEkx2w2o1AoIJvNAlivkaJUuPD5oPebSKfTCIfDsFqt/H1thNlsNsNmswFASw1qsViE3W6HyWTC+fPnsXfv3rbWAebzeSSTSZhMJiiKwmKWumYB8CZDURTeWJRKJb52KEuwvLyMYrGIjz/+GD6fryUyqgfXrl1DX18furu7YTabsby8jFqthrW1NTz//PM4d+4cnnvuOcTjcQDrUc58Pr/lu4BpPcjlcvz+0/VIm1mtuwEFIiwWC1wu15aoMf8sPvjgA+TzeQwMDGB8fPxTX6fdwMsadmNEALaRSqWCU6dOcd0VpYCtVitMJhNMJhM8Hg8cDgdHAUhEkWiyWCy4evXqp0bX2nUey8vLqFQqUFUVtVqNG0EoCqgVHoS289HhcMBkMnGDAtU96YnD4eDIi7bzLxwOI5lMolKp8EOrWq2iVqttiYJwSmFR+cCZM2fgdrsRCAQ4kkzpeQAtqUUAbDlkMpmwsLCAer0Ot9vNn4neD4TPMkJ+6aWXkMlkcOjQIUxMTPA56k25XOYNjd1uR6FQYNFD0EOpUCi0fB4UdTUYDMjlciwQFxcX25oCNplMvD5lMhksLS1hfHwcXV1dvOGwWq2o1Wq4evUqPvzwQ+zfv5/FBolFg8EAVVVx6tQpbN++nf/dYrHImw09MJlMCIfDsNlsXBZBUf7bb78dfr8f3/ve95DJZNDb24ve3l62udlqTE1NsYOE3W7ngIKqqsjlcqhWq1xiQGU6drud3SfS6TR7tlLnttlsxuOPP67bOWmfF8B6Te13v/tdvPjiizAajXj66ac/UwBSLb3w6YgAbCO1Wg2Tk5MwmUycMqFib6rzA9YXJvq9tuuUzJRXVlZ0rZ2p1WrIZrMsLqg4vVQqtUSNNj60tTtPeh09DLLZrO72CrTQNBoNmEwmVKtV5PN53H777ZiZmcH09HSLHyO9D3pTKpU4nUs7+nQ6Db/fDwAtkUBKv1OdoPb7ZrMZ8XgcTqeTaxz13GgQ2uuoVqtxivqDDz7A8ePHEQgEOAo1Ojr6mRGaer0OVVU3PYpWq9VQKpVYJGWzWfT09LSIO+B62YP22qOIBYlIRVG4S7udm6R6vc71b/F4HJFIBMPDw/B4PBwVczqdXCNrtVqhqipmZmbg8/n4XMgaKpVKYWBgAAsLCwDWo6LpdLpt57MRt9uNYrHIDR/Ausg4duwYPB4PhoaGYLVaYbFYeMpJJpPB7t27dTvmG3H16lX853/+J0ZHR+F2u1nckfjRrrvUlEfPnWazCVVVUS6XYbfbEYvFsLy8jEQiAYfDoasApMBHsVjE2bNn8Y//+I9YXFzkTNjbb7+N/v5+fO1rX7vhz9MGw2q18uABoRURgG2kXq9jfn6eBSCJOxJz2gcDRQmB9YdCo9FAtVqF0+lEJpNBqVSC1+vVpRiZOoBVVYXFYmEfLW2xNH1thM7FZDJhbm4OdrsdPp9vSwjAjcdLImjv3r1wOBw4f/58i/Cm9LDekIEwdSwbjUZOz2vH2NH1RL6M2oYWEoC5XI7FEdV4bQVKpRIikQhmZ2cRiUSQy+UQjUbR29sLj8eD1dVVnD17FvV6HaOjo9ycAIBLDOLxOEc77r333k19KFSrVY6AWSwW5HI5HsNHnf4krrU1tfS5kEjPZDIYGBiA0WjkZqt20Wg0uEyD6hAXFxdZrJbLZZhMJjidTvT39yMWi8FkMqFQKMDlcqFQKKBer8Pj8cBoNHIZBYkUMoTXa7yl1+vF2toaiyHaZD/99NPcoU2bcWpyqdfrWyICSOJtdXUVb775Jq5cucKZCpPJhK6uLuTzeeRyOT4Xrb8p1TzSRpY2RsvLyxy5NplMmJ2dxbZt23Q5x2KxiOXlZXz44Yf46U9/irfeegterxfBYBClUgkXL17kzeChQ4ewa9cu/tl4PI73338fU1NT2LNnj65CdisjArCNNJtNpFIpdHd3s62CtjaBFkKKyNBDQmtFQkX8qVQKgUBAl/ScVgCaTCak02lYLBYEAgF+8G5MAdMDTmsMPTk5CZ/Pp3vzB0ECXHvMRqMRt912GwYHB/Ef//EfAK7XbhoMhrbWY30atKOn+j7tdQRcT4VQ6pfKDUh4aLtOyQfRZDLp3qVJkBH6uXPnMDk5yRHmffv24c4770QsFsOVK1dw4cIFpNNpZDIZDA0N8Tmk02mcPXsWs7OzyOVySKVSGBsb23QBSB2lBoOBo+Qk8uiz0NYKakcPAmiJMFMHarsisuR9GY/HUalU0NvbC5vNhrm5ORSLRR6LmMvl0Gg0MDg4CIvFAovFgnA4jEqlwuKKPPRKpRJSqRR6enrgcDiQTqe50UQr2NuF3+/nzAVFwVwuF77xjW8AAEcvqQyHSj60aXw9oE10NpvF8ePHsbKywpHmYrGIRqMBi8WCQqGAjz76CIVCAQMDA+wKQM+MWq0Gt9vNG9nV1VWoqsrRw1KphFOnTrVVANK6ms/nMT09jTfffBOvv/46PvzwQzz00EPIZDJ8bSYSCczOzuLq1av45je/iW984xt8bh999BFefvllvPXWW3jkkUdEAH4KIgDbCHX10QNWm5qj6BPVXGnD9gB4oarVaggEAlhbW+NFt93QQ8vpdMJoNHJ9DDUV0MOOFip6oNHDy+FwwOfzseUILcRU+6iXxQIt9CSoyEPvnnvuQaPRwB/8wR+w+CMhpff4OuC6tQjViWqnyJDY00LRZRJ/dC1qm0nq9TrXRG022g2ANjVKjTb/+7//yybdw8PD2LZtG6rVKiKRCE6dOsVdqJlMBjMzM3j77bcxODgIt9uNaDSKQqEAr9fLM2utVuumWw5RkxNt4jweD3p7e1s2RnR/aKHPkur+gOv3jXYizWaTzWaRzWZhNBoRDofh9/uRSqUArEdXyAqGBPfVq1dRq9XgcDigKArOnz+PVCoFj8eDRqOB1dVVBAIBFItFnqtNkahMJqOLAAwGg5xRoYk5wWAQXV1dANY/i3A43LIh1LsBhK6XYrGI9957D3/xF3+Bqakp/PZv/zYKhQKCwSB7rKqqikAgwHZEG9dVqr2uVqvIZDKcBtdu3JeWltpyXto1tVwu4/Tp0/jBD36AN954Az09Pdi/fz88Hg+cTidSqRRyuRyPuAwGg3jxxRfx8ssvw+/3c8MksN7YNz8/j2q1qnst81ZEBGCboB0x2Sds376drTtUVYXD4QBwvUaDogE0msjhcOC+++7D5OQkHA4HFhcXceutt+qycNJIKDq2wcFB3un7fD44nU6O9JHQ0IpdoLWGLhKJYGZmBh9//DESiQRCoVDbzwkAhoeHYbPZUCwW2RBWG+WjxclisbSk5fWG3l9KyVP6l4QECTr6TLQTTqh2jnwbu7q6kE6n0dXVheXlZYyNjfEDcTOPXwtFN2ZnZ7G8vAxVVXmObC6Xw8zMDItcqnukcWRWqxW5XA7z8/PIZrMYGRlBd3c3ms0mYrEYVFVFKBTC/Pw87rjjjk07J6qNBa7X0g0MDGBpaaklxUubPeB69KNYLKKnpwcTExNYXl5GPp+Hz+fjebTtgNLXiqIgGAyyYHO73Ry5s9vt6Ovrg9PpRCKRQDAYRK1W4/F3fX192LVrFwqFAorFIt9buVwOPp8PpVIJ6XRaN7/Jnp4eeDwenksOADt37uTvU2Tc4XBwOlgvtLWhqqrizJkz+M53voN/+qd/Qnd3N959910cPHgQHo+HJ5wMDg4iEolAURTE43EOItD1l81mkUgkWBwpisJNVGazGU6nEwcOHNiUcwGulz7Q7+l58eMf/xjPP/88stksHn74YWSzWVy5cgVvvfUWduzYgUajgWAwCFVVkclkkEgk0N3dDbvd3jJNq9lsYm1tDbOzs3j33Xdx99133/Rz+aIjArBNVCoVdr6vVCo4evQo3n//fUxPT6Ner0NRFC781hbn068ulwv3338/XnvtNYyMjKBYLOpWoE9ilixr5ubmsH37drhcLu4c1daV0XGSACTBsWPHDpTLZfj9foyPj3MKQy/uueceKIqCZDKJarUKo9GIHTt28Pcff/xxvPLKKy2ibyvYC1D3tcFgwOzsLL761a/yPGltRNVgMCCdTqNYLLK3pN1u52tz+/bteOCBB3D8+HGEw2F+0G8mq6urLBAymQzPjFVVFdVqlSMuq6uryGQyvLiTSKR0kHZzoY3iJJNJzM/PIxgMcoe9qqpYXFzc1PMiAUipUmBdnGofftpftfWZFPn0er0YHx/HO++8g4GBgbbe7/F4nJtYaMJHLpdDuVzG8vIyQqEQexR6PB4kk0nk83mul9u9ezf6+vrgcDiQTCbZxzSRSGB5eZnvdYvFgkgkgpGRkbadG0Fj3fL5PDejDA0N8fcdDge8Xi/bpHi9Xt02p8D1UoKXX34Z//AP/4ADBw7giSeeAAAcO3aMBThwfY1eWlqCoihcGkJeoZQKdjqd3LyTSCR4PrOqqvD7/ZviebhxzWw2m8hkMjh79iz+5m/+BhcuXMDhw4cxNjaGhYUF1Go1jI6O4urVq1hbW0M4HGZh7nA4kM/n+dipDt1kMvHggVqtBkVRbvp5fBkQAdgmqtUq+/9Fo1H09/fj3LlzANbD+dFoFE6nk1vxaZdGUUCDwcBRjmw2i0wmo2uHptFoZHPUrq6ult09dY9qIx0bC90VRcH4+DimpqbYJDadTiOVSrUswu1Ea7lTr9dht9uxd+9e/v727dvhcDi4zobeBz2hyJ+qqvB4PDh37hyefvppzM3N4erVqwgGg/D5fGxvUS6Xkc1m2c7GZDIhlUphcXERFosFX/3qV3H8+HGUSiX4/f5NjXr867/+K2KxGLxeLwCwtU69Xm8RDKqqotlssoBaXl7mBxpFzIDr3Y5UZtHV1QWfz4fR0VE0Gg3+3EKh0KZfY9QEQlZHNP5QG923WCwt97e2a7ZeryOfz7P3Htl6tItoNIpSqcTNH/l8HhaLBT6fD2azGZVKBXa7nSPLe/bswYkTJ7Bv3z4Wr9pu8mw2i3Q6jaGhIRw9ehQej4fn7+oVRU+lUlhbW0M6nUapVLqhX1wikWAPR6fTiT179rT9OLXNQS+88AL+53/+B3feeSf++I//mF9DndlWqxVGoxErKytYWVkBsD5liSzEPB4PLBYLb/60G49kMolCocDrN3Wg32zi8Th3la+uriIWi+Gdd97BRx99hEgkgt27d8NmsyGRSPCzMJ/PY2JiAtPT08hms+jq6oLT6USlUuGObe37lU6nsbi4iHQ6zbPmb7311pt+Ll90RAC2CarPot/39/dz6J06aOkmp+kMAHhOMNWjUVFyKpXSzTevXq8jlUrx7iqdTvOsWa/Xy4XSZKq8scaRIlPU/asoCtcCbXbE6fMQCATwyCOP8J+PHj2KH/7whygWi1xQTal7vaDaGa2dSFdXF9577z2uCSIRR9Ea+jnyMyT/yWq1ir6+Pq6BpGjOZjE1NYVyuQyPx8PpHxLfFouFBY/NZvvENBbqVNQKJ6pppA7HaDSKrq4u9nCkDZOqqjhy5MimnRewLgBpxm+xWITL5eJyDXpvtel4bV0gAG6aoLFpJBzbRSQSQSaT4WkmsViMZ3fTZ+DxeLhUwuVycdkB1VpRxGl5eZnN4p1OJwqFAmcJGo0GMplM285Ly9DQEB8jraVUO0ZQ9y/NOG5XTZwW8oN86aWXcPr0aezYsQO/8iu/0tKA9pWvfIXnkpOZc1dXF0KhEG/CybybNk5ULkLPIZ/PB4PBgEwmg7m5OcTj8Ztaj53P5/H7v//7KBQK3ECkqiq8Xi9cLhfPi15aWkK9Xkd3dzeCwSDXzsfjcQQCAaTTaczPz8Pj8XAUl8pz0uk0jyukTaLH42mZ5S5cRwRgm6AHGzU7UKEq3XwU7aMHoTYCSLUy9XqdbVa0c2n1QGst4vP5MDAwwJ5S1EBBDQkkQOhn6Hz37NmDV199FU6nE729vS1iRQ8olUjvq9frbdnx33rrrWx4TQ9kvWsAqaOUhLXD4cD4+DhSqRQLODovg8HA1x4JjkqlwtG1Wq0Gq9XKgouEx2ZBtkhUT0kPJbPZzClqSm3TQ4w6k+lBRpsmrWFsPp9HpVJBJpNBoVDgv9feX7FYbNPOC2hNAVerVfYq1Ip1beRP+0WfS71ex86dO1uaQNrF/v374XA4EIvFkM/nedNDKXSHw8EP8VwuB7vdjpMnT2L//v0tWQC6n/L5PAqFAvx+P1+Dfr8fAwMDGB0dbdt5aQmFQrzm0P0QjUZbXqP1Y8xkMlhbW9PlWH/2s5/hww8/hMvlwt69e7kzl+7rffv28Ubc6/VyxC8YDLIgp4YPaiaiLnm6rqgm2Gg0IplM3nSLq+PHj+PEiRNwOp2wWCy8LtHmn5q5TCYTstksBz3I15CEOqXtyfyeNiUulwuxWIyjuVarlTdXfX19N/VcviyIAGwTtKhTR2KxWOSUFD0E6EYlHzdgXTTRz9FuiXZteghAenhRKqFarWJgYAB2u72lmJoWGnr40kKlbUqgHRyl/PQWVPl8nkUCsJ4SJjNlYP2BQRE/OlY9axaB612j9Cul1gqFAgKBAEcw6LUUfQJaRyVpazWpMUEbNdsM7rnnHvh8PszOzmJpaYk7c6l5RWuRQgu5NrVK0UttlJkealSfRteb1hzXaDRytGSzoOOkiGRfXx/K5XJLp+XG6R90DiS+K5UKRkZGWjzq2tUFPDExAa/Xi1gsxvWZVLaSTCZhMBiQTCaRTCaRzWaxtraGXC6HlZUVRCIRjjZpMxgDAwM4evQop/x9Ph/C4bBu9Vl2ux39/f1wu91IpVJoNptIJBJYW1tDd3c3gOsem+Vymbue280HH3zA3e4HDx7Enj17PhGZ7+/v55RoMpnksgEqh6A1Qnud0T1Pf0fZJwDo6+u76cKc1nmymyKhRmMDqVnKaDRy2QBtTsmyiTrN6edSqRRvGslezefzQVEUeL1emM1m2O32luYe4ToiANsEpVLS6TQmJia4oJou3mazyd2lWpNYAOwDmMlk4PP52F9LD0h80hihQqGAcDiMWCzGDwYqJKaUz0ZBS2mXVCoFl8uFZDIJs9mMWCym6zzgXC7XMvieopVaqMYGAC9CelKpVDgq1mw2OcVLzv4U7aP3nbwbb5Q6pc+IjMo3e5Px9a9/HceOHcPZs2dx/vx59iFLpVLIZrOcjtN6GpLwpvOlz0preUOiSjtb1263txj7aoX9ZkDCga6RiYkJTn3SMWungmiNua1WK3dy+v1+jn5oG102G7PZjKGhIa6tajabSCaTiMfjuHjxIo+BTKVS3Mxxyy234MKFCzyZhvz9stks7HY7nnjiCdx///1tOf5flL6+PrhcLr6estksTp06haeeegoA2MyabJGcTmfbj/HMmTOwWq04fPgwjh071hLNomudLFHofaeGHO20Jq1/KZWwAOB7hqLuVqsVPp/vM8es/TI89thjOHPmDHK5HJaXlxGLxXgaFh0LRQVJnJZKJWQyGRSLRWzfvh1ut5uNxAuFAqLRKFsV7dy5k7vNA4EAfD4f2xLpVVe+1REB2CZoN1ar1RAKhVp8l7Q+bhTxczqdLd2DNpsNsVgMbrcbkUiEU3ftplarIZfLIZFIwOv1clQyl8txFzBFxWjRpF0oCQ1K9VWrVQSDQba5ILd6vdAKHu3MTC204FJBtd6j0miBpzolbZ2ZNr1I7zstuNqfB8BpVQAtae7Nvsa6urrwyCOPtNRa1mo1LC4uIpVKIZFIoFQq8YNBK14pYqBNV9PvtRMmSMjTZsvj8eDhhx/e1POiqB0Z6t5xxx342c9+xl5nG19L1x09/Gg2rcFgwMDAAHel0+ey2ffJRqsOg8GAYDCI73znO3jsscdQrVa5M9bpdMLn87FR9aFDhxCPx1uiPIODg/it3/qtT/wfWisQPaC6t0qlwg1RL774Ip588kmOOpMIAYDBwcG2H+NTTz2FSCSCsbGxTxWgLpeLzY5p86EVeVpuNKazHYTDYTz33HMA1scALi0tYXZ2FjMzM1hZWUGhUOCsA90jdC7VahVjY2MYGhpCIBCA2+3mzbndbuemNor6UySTMgHCjZF3pk1oi/VdLhemp6c5GkMPKTJepW5Guklp4Z+bm+M0XjujAVootUUNHgbD+pihqakpZDIZFnYE/Zke3HRuJIiLxSLm5uZ4osAtt9zS9nMiyD6AIB+wG71GW0ejJ5QqJBG4d+9eTrFQ5IJq5Wi2cbFY5KYdui616UWv18t2MZSeaed5ms1mbNu2TbcRVDcTEqZDQ0Nczwhcb8LRWiRpvTIpsqsoCvbv34+pqSkYDOvzgIvF4qZPoPk0gRmLxRAOhxEMBuFyuZBOpxGNRrnzsru7GyaTiVN2tCG80fHq3UEPALt27WJPQqqDnZ6e5u8HAgHMzs4ilUrB4XBsii/e/0U4HP5chvO02dnK+Hw++Hw+Xdd7QQRg2yC7DurKWlhY4B0aiUASS+S/RTV09PCNRqMc/tZakbSTYrGIhYUFnDt3DoODg6jX6zh48CAmJyeRTqc55UvpRxq2vrGmy263IxgMIhKJYH5+HhMTExgbG9v01Nxn0dPT02KsTcethXaeVIfm8/nafJStUH1SrVZDqVTiBxQVTGsbDoDrNaUkxKmTu1qtcrSgu7ubPfYo+qa30P0i02w2EQgE+DOh8giK+mtnOJNYB65HP3bv3o2zZ8/C7/e31BHqcR7/9m//Bp/Ph2AwyL543d3d3OUbCoV4yo+2IWF6ehpvvPEGHnroIV2O/dOgWdK0gTKbzejt7eXvk3Atl8twu904dOiQXocqCDcd/bdgHYLNZsPQ0BBHzChEr50/q03vUK0SdczSA2L//v0A1sWKHrs8u92O4eFhfOUrX0Fvby92797Njvper5fNdunYSNBmMhmu66IOQSoKpk5oKgDWC5qKAVxPrW4kGAxyIwhNQtATbU1Ps9nkOiBt9x8ZRZvNZgSDQY7eUnqeREh3dzcMBgP6+/tbTMj1qjf9IkP1S+VymQvftQbcdK1RzSmlrbS+gBTJveOOOzgySAbZ7YY6p2OxGAwGA0ZGRriZw2azwefzwWQy4cqVK7h27RqPtDQajfD5fDh48CC++93v4sMPP+R7X48Mxo148MEHcffdd3PJjbauV9tBLwhfNiQC2CZqtRpSqRRKpRKKxSKnfyk1Rw9hei3QWvxO0YGrV6/i4sWL2L9/v241gIVCgUcIdXV1wWg04vLly8hkMjx7cmN6S9vhSF9XrlzBE088gUqlgqtXrwIA9u3b1/Zz0kLFxzS7lSBhPj4+zo04ZFeiJ/Q+UyNIX18f20FoO2RpbJ12PBkVh9vt9pYpLFTnRNFFvescv4hQTWWtVmOhNDMzwwbKN9roaGsBs9ksUqkUpqam8PDDD/MmkEyL2025XMbrr7/ODR7UnUk+h+l0mhtFvv71r3NUmexITCYTdu7ciddeew0TExO63zfA9cahffv24bbbbsPJkydhMBhw6dIlfg19HiaTCXa7fUvM/haEm4UIwDbhcrlw6NAhGAwG+P1+TE5OcjMEgJaCdfL7A64LD/KjGhgYwLPPPos9e/boYp9AYgNYTwf7/X42KiXD20/bNWv/3Gg0sLa2hsOHD8Pr9bJNh94FuxStoRQ1obW/oVSpxWLhWie9oOOyWCxQVRU2mw1ra2solUoolUrcWW6z2VoeZmazmbtkSbCTDcvw8DA/3LWiRPjF0Ro305izO++8k30JKbKqFde0MbLZbFwGMjIyAp/PB6/Xi2azyYXy7YCuLfKZvHDhAoD1xh3tdUF1oj09PZibm4PNZkO5XEYqleLRdhaLhTv+q9XqlhCAJMIDgQB6enrgdDqhqmpL4wTVKpNRsp6j4AThZiMCsE04nU7s27cPo6OjKJVK+PGPf4yVlZWWVIk2tUMRG20qzmw2495778Xo6CiMRiNbfrQbo9EIm82GSqWCYDAIt9uN3bt3o16vo6uriwUgiQ/g+sNNG4nq6+vD+Pg4C0CtBYteaK1TbhSlcbvdLBLbYSfyf0HHSSl0sgsil33qqiNBUS6XPzHKTmsDAYDnUtNmRG+z6y8iJLKtVivuuOMOGAwGPPbYYzzDm742+v8ZjUa+vsxmM0ZGRmCxWBAOhznq3K57hARgrVbD2toap7PD4TCntNPpNLLZLCqVCrZt28bjIQFwBzB1CBeLRZ4b7HA4eLOnV3qV/l+yvNm3bx/eeustOJ1O3sxSBN1kMkFRlC0hXAXhZiECsE2QYCPR9uCDD+LkyZNYWFhAoVDgXScZXVJEjTq6HA4HxsbGNn2E1S8C1StWKhW43W4oioJf+7Vfg8VigaIoLC5IAGqjgeSHSBYXLpeLbS9ojI+ekIehNjqjTbUrisKRM+1oNb2gNG6j0WDLGo/Hg9HRUfT19bFtD0X5/H4/P3hpoDpFX3t6egBct+8BwJ3AwueDIqyqqrLlzI06HrVRNu3fbfzztm3bsLy8DLfb3daZwMC6QfrU1BRbkNAIsWw2y9cWCViPxwNVVdlM3GKxwG63I5lMolgsIhwOY3FxkZvh9LaBofd6eHgYd9xxB06ePIlyuYxr165hz549XAtst9t13+wJws1GBGCboQXn29/+Nh5//HG88MILeOedd3jSh9ls5jo08sYbGBjAXXfdhWeeeabl39CDWq3GU0wKhQJisRiazSYeffTRX+rfSyaT/BAslUq6zwIm93i3233DBg8aY0SNF3rbLVCtGHUlA8CBAwfwd3/3d8jn88hkMsjn81BVld9bMnut1Wpwu93w+/3wer28CaHPdWxsjAWm8Pmg+ziTyWD79u0Ark/70PJZApCaw0wmE44ePYq33nqLI7PtgP4fVVXx8ccfc4cyiT+73Y7R0VHuLL98+TL8fj+azSbi8TgqlQqsVisKhQKazSaCwWCLR+NWaKygEhsqbalUKjAajfj5z3+OHTt28AZIURSejCFNIcKXBRGAbUa7cAwNDeGP/uiPUKlUMD8/j5/+9KdYXl5Go9GA1+vFwYMHcfjw4ZZmBL0757q6unDffffxVJNbb70VVqu1ZazVjY6RHmba75Ff2Le+9S2Ew2H09PTo7v0WDAahKAqCwSD6+/sBoOXcjhw5ggMHDmB1dRWDg4Ntj8ZspKenBwcPHkQgEPhEfRK55n9euru78dJLL92sQ+xIBgcH8cQTT7TMlv1lhBtF0++55x6cO3cOBw4caHskqre3F7/3e7+Ha9eu8WSMUCiESqWCpaUlRKNRbNu2Dfl8Hvv27cPevXtRLpc51TswMIB6vY7Lly/zeMVPa4RpN3Rv04YvFArB7Xbj2LFjMJvNGB8fh6qqOHLkCA4fPqz34QrCTcXQ1FtRCIIgCIIgCG1F/y2YIAiCIAiC0FZEAAqCIAiCIHQYIgAFQRAEQRA6D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| 189,814
| 0.965924
| 11,922
| 410,082
| 33.22362
| 0.919057
| 0.000121
| 0.000083
| 0.000114
| 0.001219
| 0.000076
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| 0
| 0.152466
| 0.001207
| 410,082
| 75
| 189,815
| 5,467.76
| 0.814586
| 0
| 0
| 0.032787
| 0
| 0.04918
| 0.99733
| 0.995457
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| 1
| 0.098361
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| 0.032787
| 0.065574
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0
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|
609dc8066e4ed58454e785ac9407ba710dd24391
| 32
|
py
|
Python
|
johnny_cache/__init__.py
|
Sonictherocketman/cache-proxy
|
75650fb143b365e922c03f87e388c5710ad21799
|
[
"MIT"
] | 3
|
2019-07-23T02:33:04.000Z
|
2021-05-25T16:57:24.000Z
|
johnny_cache/__init__.py
|
Sonictherocketman/cache-proxy
|
75650fb143b365e922c03f87e388c5710ad21799
|
[
"MIT"
] | null | null | null |
johnny_cache/__init__.py
|
Sonictherocketman/cache-proxy
|
75650fb143b365e922c03f87e388c5710ad21799
|
[
"MIT"
] | null | null | null |
from .server import app # noqa
| 16
| 31
| 0.71875
| 5
| 32
| 4.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.21875
| 32
| 1
| 32
| 32
| 0.92
| 0.125
| 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
| 1
| 0
|
0
| 6
|
60e990ef7bf30b20330df7c11df2bae657a8aa9f
| 88
|
py
|
Python
|
Module2.py
|
Cipalex/session3
|
fe0866db54d719687f5a89a71ddc17657c91089e
|
[
"MIT"
] | null | null | null |
Module2.py
|
Cipalex/session3
|
fe0866db54d719687f5a89a71ddc17657c91089e
|
[
"MIT"
] | null | null | null |
Module2.py
|
Cipalex/session3
|
fe0866db54d719687f5a89a71ddc17657c91089e
|
[
"MIT"
] | null | null | null |
def f():
print('f from module 2')
if __name__ == '__main__':
print('Module 2')
| 14.666667
| 28
| 0.579545
| 13
| 88
| 3.307692
| 0.692308
| 0.325581
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029851
| 0.238636
| 88
| 6
| 29
| 14.666667
| 0.61194
| 0
| 0
| 0
| 0
| 0
| 0.348315
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0
| 0
| 0.25
| 0.5
| 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
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
7166d9cc0195426344d7d645ff648763fd1d1b77
| 40
|
py
|
Python
|
vnpy/gateway/rohon/__init__.py
|
funrunskypalace/vnpy
|
2d87aede685fa46278d8d3392432cc127b797926
|
[
"MIT"
] | 323
|
2015-11-21T14:45:29.000Z
|
2022-03-16T08:54:37.000Z
|
vnpy/gateway/rohon/__init__.py
|
funrunskypalace/vnpy
|
2d87aede685fa46278d8d3392432cc127b797926
|
[
"MIT"
] | 9
|
2017-03-21T08:26:21.000Z
|
2021-08-23T06:41:17.000Z
|
vnpy/gateway/rohon/__init__.py
|
funrunskypalace/vnpy
|
2d87aede685fa46278d8d3392432cc127b797926
|
[
"MIT"
] | 148
|
2016-09-26T03:25:39.000Z
|
2022-02-06T14:43:48.000Z
|
from .rohon_gateway import RohonGateway
| 20
| 39
| 0.875
| 5
| 40
| 6.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 40
| 1
| 40
| 40
| 0.944444
| 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
| 1
| 0
|
0
| 6
|
718204a2b383cce840b6e0f7101b4542d7502bc6
| 136
|
py
|
Python
|
boa3_test/test_sc/interop_test/contract/DestroyContract.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 25
|
2020-07-22T19:37:43.000Z
|
2022-03-08T03:23:55.000Z
|
boa3_test/test_sc/interop_test/contract/DestroyContract.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 419
|
2020-04-23T17:48:14.000Z
|
2022-03-31T13:17:45.000Z
|
boa3_test/test_sc/interop_test/contract/DestroyContract.py
|
hal0x2328/neo3-boa
|
6825a3533384cb01660773050719402a9703065b
|
[
"Apache-2.0"
] | 15
|
2020-05-21T21:54:24.000Z
|
2021-11-18T06:17:24.000Z
|
from boa3.builtin import public
from boa3.builtin.interop.contract import destroy_contract
@public
def Main():
destroy_contract()
| 17
| 58
| 0.794118
| 18
| 136
| 5.888889
| 0.555556
| 0.150943
| 0.283019
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016949
| 0.132353
| 136
| 7
| 59
| 19.428571
| 0.881356
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
71d4a4f18765db674c76811fc711aa0406e67032
| 144
|
py
|
Python
|
speedcom/tests/__init__.py
|
emissible/emissilbe
|
5537e787ccb883a101d2d40b38d480e257ac9755
|
[
"MIT"
] | 1
|
2019-02-20T05:11:16.000Z
|
2019-02-20T05:11:16.000Z
|
speedcom/tests/__init__.py
|
emissible/emissilbe
|
5537e787ccb883a101d2d40b38d480e257ac9755
|
[
"MIT"
] | null | null | null |
speedcom/tests/__init__.py
|
emissible/emissilbe
|
5537e787ccb883a101d2d40b38d480e257ac9755
|
[
"MIT"
] | null | null | null |
#from . import context
#from . import test_NNModels
#from . import test_data_extract
#from . import test_speedcom
#from . import test_utilities
| 24
| 32
| 0.791667
| 20
| 144
| 5.45
| 0.45
| 0.458716
| 0.513761
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 144
| 5
| 33
| 28.8
| 0.879032
| 0.930556
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 1
| 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
| 6
|
71e38c0bb4ea71106c0ea08a5cac097ca0ed5c4c
| 126
|
py
|
Python
|
app/admin/__init__.py
|
blackboard/BBDN-Base-Python-Flask
|
710b82bfb45217798d9e9edda13d5e0f632e2284
|
[
"MIT"
] | null | null | null |
app/admin/__init__.py
|
blackboard/BBDN-Base-Python-Flask
|
710b82bfb45217798d9e9edda13d5e0f632e2284
|
[
"MIT"
] | 2
|
2022-03-16T01:34:51.000Z
|
2022-03-16T01:34:56.000Z
|
app/admin/__init__.py
|
Eddyjim/BB-BaseTool
|
39fd41cc503b7c31886426b8b017c5f9acfe5072
|
[
"MIT"
] | null | null | null |
"""
"""
from admin import routes
def init_app(app):
"""
:param app:
:return:
"""
routes.init_app(app)
| 9
| 24
| 0.52381
| 15
| 126
| 4.266667
| 0.6
| 0.21875
| 0.3125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.301587
| 126
| 13
| 25
| 9.692308
| 0.727273
| 0.15873
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 0.666667
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
e0cde222a5f5dbe6545c933dad99fd36f05f5531
| 9,183
|
py
|
Python
|
tests/test_workflow_build_combinations.py
|
tschoonj/cgat-daisy
|
f85a2c82ca04f352aad00660cfc14a9aa6773168
|
[
"MIT"
] | 1
|
2020-06-29T14:39:42.000Z
|
2020-06-29T14:39:42.000Z
|
tests/test_workflow_build_combinations.py
|
tschoonj/cgat-daisy
|
f85a2c82ca04f352aad00660cfc14a9aa6773168
|
[
"MIT"
] | 1
|
2019-05-15T20:50:37.000Z
|
2019-05-15T20:50:37.000Z
|
tests/test_workflow_build_combinations.py
|
tschoonj/cgat-daisy
|
f85a2c82ca04f352aad00660cfc14a9aa6773168
|
[
"MIT"
] | 1
|
2021-11-11T13:22:56.000Z
|
2021-11-11T13:22:56.000Z
|
import pytest
from daisy.workflow import build_combinations
def test_one_option():
assert build_combinations(
{"option1": ["value1", "value2"]}) == \
[{'option1': 'value1'},
{'option1': 'value2'}]
def test_two_options():
assert build_combinations(
{'option1': ["value1", "value2"],
'option2': 'valueA'}) == \
[{'option2': 'valueA', 'option1': 'value1'},
{'option2': 'valueA', 'option1': 'value2'}]
def test_two_options():
assert build_combinations(
{'option1': ["value1", "value2"],
'option2': ["valueA", "valueB"]}) == \
[{'option1': 'value1', 'option2': 'valueA'},
{'option1': 'value1', 'option2': 'valueB'},
{'option1': 'value2', 'option2': 'valueA'},
{'option1': 'value2', 'option2': 'valueB'}]
def test_complex_values():
assert build_combinations(
{'option1': [{"value1": [1, 2, 3]},
{"value2": [4, 5, 6]}]}) == \
[{'option1': {'value1': [1, 2, 3]}},
{'option1': {'value2': [4, 5, 6]}}]
def test_groupby_design(tmp_path):
design_file = tmp_path / "design.tsv"
with open(design_file, "w") as outf:
outf.write("label\tc_option1\tc_option2\n")
outf.write("label1\tvalue1\tvalueA\n")
outf.write("label2\tvalue1\tvalueB\n")
outf.write("label3\tvalue2\tvalueA\n")
outf.write("label4\tvalue2\tvalueB\n")
assert build_combinations(
{"groupby": "file",
"label": "label",
"input": design_file,
"option1": "c_option1",
"option2": "c_option2"}) == \
[{'option1': 'value1', 'option2': 'valueA', "name": "label1"},
{'option1': 'value1', 'option2': 'valueB', "name": "label2"},
{'option1': 'value2', 'option2': 'valueA', "name": "label3"},
{'option1': 'value2', 'option2': 'valueB', "name": "label4"}]
def test_groupby_design_with_constant_option(tmp_path):
design_file = tmp_path / "design.tsv"
with open(design_file, "w") as outf:
outf.write("label\tc_option1\tc_option2\n")
outf.write("label1\tvalue1\tvalueA\n")
outf.write("label2\tvalue1\tvalueB\n")
outf.write("label3\tvalue2\tvalueA\n")
outf.write("label4\tvalue2\tvalueB\n")
assert build_combinations(
{"groupby": "file",
"label": "label",
"input": design_file,
"option1": "c_option1",
"option2": "c_option2",
"option3": "valueX"}) == \
[{'option1': 'value1', 'option2': 'valueA', "name": "label1", "option3": "valueX"},
{'option1': 'value1', 'option2': 'valueB', "name": "label2", "option3": "valueX"},
{'option1': 'value2', 'option2': 'valueA', "name": "label3", "option3": "valueX"},
{'option1': 'value2', 'option2': 'valueB', "name": "label4", "option3": "valueX"}]
def test_groupby_design_with_combinatorial_option(tmp_path):
design_file = tmp_path / "design.tsv"
with open(design_file, "w") as outf:
outf.write("label\tc_option1\tc_option2\n")
outf.write("label1\tvalue1\tvalueA\n")
outf.write("label2\tvalue1\tvalueB\n")
outf.write("label3\tvalue2\tvalueA\n")
outf.write("label4\tvalue2\tvalueB\n")
assert build_combinations(
{"groupby": "file",
"label": "label",
"input": design_file,
"option1": "c_option1",
"option2": "c_option2",
"option3": ["valueX", "valueY"]}) == \
[{'option1': 'value1', 'option2': 'valueA', "name": "label1", "option3": "valueX"},
{'option1': 'value1', 'option2': 'valueA', "name": "label1", "option3": "valueY"},
{'option1': 'value1', 'option2': 'valueB', "name": "label2", "option3": "valueX"},
{'option1': 'value1', 'option2': 'valueB', "name": "label2", "option3": "valueY"},
{'option1': 'value2', 'option2': 'valueA', "name": "label3", "option3": "valueX"},
{'option1': 'value2', 'option2': 'valueA', "name": "label3", "option3": "valueY"},
{'option1': 'value2', 'option2': 'valueB', "name": "label4", "option3": "valueX"},
{'option1': 'value2', 'option2': 'valueB', "name": "label4", "option3": "valueY"}]
def test_groupby_regex(tmp_path):
assert build_combinations(
{"groupby": "regex",
"files_a": ["{}/data_0.a".format(tmp_path),
"{}/data_1.a".format(tmp_path)],
"files_b": ["{}/data_0.b".format(tmp_path),
"{}/data_1.b".format(tmp_path)],
"files_a_regex": r"data_(\d+).a",
"files_b_regex": r"data_(\d+).b"}) == \
[{'files_a': "{}/data_0.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'name': "0"},
{'files_a': "{}/data_1.a".format(tmp_path),
'files_b': "{}/data_1.b".format(tmp_path),
'name': "1"}]
def test_groupby_regex_filters_when_data_point_missing(tmp_path):
assert build_combinations(
{"groupby": "regex",
"files_a": ["{}/data_0.a".format(tmp_path)],
"files_b": ["{}/data_0.b".format(tmp_path),
"{}/data_1.b".format(tmp_path)],
"files_a_regex": r"data_(\d+).a",
"files_b_regex": r"data_(\d+).b"}) == \
[{'files_a': "{}/data_0.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'name': "0"}]
def test_groupby_regex_with_constant(tmp_path):
assert build_combinations(
{"groupby": "regex",
"files_x": "x.y",
"files_a": ["{}/data_0.a".format(tmp_path),
"{}/data_1.a".format(tmp_path)],
"files_b": ["{}/data_0.b".format(tmp_path),
"{}/data_1.b".format(tmp_path)],
"files_a_regex": r"data_(\d+).a",
"files_b_regex": r"data_(\d+).b"}) == \
[
{'files_a': "{}/data_0.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'files_x': "x.y",
'name': "0"},
{'files_a': "{}/data_1.a".format(tmp_path),
'files_b': "{}/data_1.b".format(tmp_path),
'files_x': "x.y",
'name': "1"},
]
def test_groupby_regex_with_combinatorial_option(tmp_path):
assert build_combinations(
{"groupby": "regex",
"files_x": ["y.x", "z.x"],
"files_a": ["{}/data_0.a".format(tmp_path),
"{}/data_1.a".format(tmp_path)],
"files_b": ["{}/data_0.b".format(tmp_path),
"{}/data_1.b".format(tmp_path)],
"files_a_regex": r"data_(\d+).a",
"files_b_regex": r"data_(\d+).b"}) == \
[
{'files_a': "{}/data_0.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'files_x': "y.x",
'name': "0"},
{'files_a': "{}/data_0.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'files_x': "z.x",
'name': "0"},
{'files_a': "{}/data_1.a".format(tmp_path),
'files_b': "{}/data_1.b".format(tmp_path),
'files_x': "y.x",
'name': "1"},
{'files_a': "{}/data_1.a".format(tmp_path),
'files_b': "{}/data_1.b".format(tmp_path),
'files_x': "z.x",
'name': "1"},
]
def test_groupby_named_regex(tmp_path):
assert build_combinations(
{"groupby": "regex",
"files_a": ["{}/data_0.a".format(tmp_path),
"{}/data_1.a".format(tmp_path)],
"files_b": ["{}/data_0.b".format(tmp_path),
"{}/data_1.b".format(tmp_path)],
"files_a_regex": r"data_(?P<key1>\d+).a",
"files_b_regex": r"data_(?P<key1>\d+).b"}) == \
[{'files_a': "{}/data_0.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'name': "0"},
{'files_a': "{}/data_1.a".format(tmp_path),
'files_b': "{}/data_1.b".format(tmp_path),
'name': "1"}]
def test_groupby_named_regex_paired(tmp_path):
assert build_combinations(
{"groupby": "regex",
"files_a": ["{}/data_0_2.a".format(tmp_path),
"{}/data_0_3.a".format(tmp_path),
"{}/data_1_2.a".format(tmp_path),
"{}/data_1_3.a".format(tmp_path)],
"files_b": ["{}/data_0.b".format(tmp_path),
"{}/data_1.b".format(tmp_path)],
"files_a_regex": r"data_(?P<key1>\d+)_(?P<key2>\d+).a",
"files_b_regex": r"data_(?P<key1>\d+).b"}) == \
[{'files_a': "{}/data_0_2.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'name': "0_2"},
{'files_a': "{}/data_0_3.a".format(tmp_path),
'files_b': "{}/data_0.b".format(tmp_path),
'name': "0_3"},
{'files_a': "{}/data_1_2.a".format(tmp_path),
'files_b': "{}/data_1.b".format(tmp_path),
'name': "1_2"},
{'files_a': "{}/data_1_3.a".format(tmp_path),
'files_b': "{}/data_1.b".format(tmp_path),
'name': "1_3"}]
| 38.746835
| 92
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0
| 6
|
e0f3298883d9924a9725a46789f9e295ab60fc80
| 15,155
|
py
|
Python
|
server/src/oscarbluelight/tests/offer/test_benefit_percentage.py
|
MaximBrewer/sebe
|
4b94b2c782d018b6fa3a130fa30173386cc9bfdd
|
[
"0BSD"
] | 8
|
2016-06-18T01:40:26.000Z
|
2021-02-08T04:08:58.000Z
|
server/src/oscarbluelight/tests/offer/test_benefit_percentage.py
|
MaximBrewer/sebe
|
4b94b2c782d018b6fa3a130fa30173386cc9bfdd
|
[
"0BSD"
] | 16
|
2018-05-04T13:00:07.000Z
|
2021-05-27T14:54:09.000Z
|
server/src/oscarbluelight/tests/offer/test_benefit_percentage.py
|
MaximBrewer/sebe
|
4b94b2c782d018b6fa3a130fa30173386cc9bfdd
|
[
"0BSD"
] | 3
|
2016-12-19T11:30:47.000Z
|
2019-10-27T20:30:15.000Z
|
from decimal import Decimal as D
from django.core import exceptions
from django.test import TestCase
from oscar.test import factories
from oscar.test.basket import add_product, add_products
from django_redis import get_redis_connection
from oscarbluelight.offer.models import (
Range,
Benefit,
BluelightCountCondition,
BluelightValueCondition,
BluelightPercentageDiscountBenefit,
)
from unittest import mock
class TestAPercentageDiscountAppliedWithCountCondition(TestCase):
def setUp(self):
# Flush the cache
conn = get_redis_connection("redis")
conn.flushall()
range = Range.objects.create(name="All products", includes_all_products=True)
self.condition = BluelightCountCondition(
range=range,
proxy_class="oscarbluelight.offer.conditions.BluelightCountCondition",
value=2,
)
self.benefit = BluelightPercentageDiscountBenefit(
range=range,
proxy_class="oscarbluelight.offer.benefits.BluelightPercentageDiscountBenefit",
value=20,
)
self.offer = mock.Mock()
self.basket = factories.create_basket(empty=True)
def test_applies_correctly_to_empty_basket(self):
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(D("0.00"), result.discount)
self.assertEqual(0, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_with_no_discountable_products(self):
product = factories.create_product(is_discountable=False)
add_product(self.basket, D("12.00"), 2, product=product)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(D("0.00"), result.discount)
self.assertEqual(0, self.basket.num_items_with_discount)
self.assertEqual(2, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_matches_condition(self):
add_product(self.basket, D("12.00"), 2)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(2 * D("12.00") * D("0.2"), result.discount)
self.assertEqual(2, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_exceeds_condition(self):
add_product(self.basket, D("12.00"), 3)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(3 * D("12.00") * D("0.2"), result.discount)
self.assertEqual(3, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_obeys_max_discount_setting(self):
self.benefit.max_discount = D("5.00")
self.benefit.save()
add_product(self.basket, D("12.00"), 3)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(D("5.00"), result.discount)
self.assertEqual(3, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_records_reason_for_discount_no_voucher(self):
self.offer.name = "My Offer Name"
self.offer.description = "My Offer Description"
self.offer.get_voucher = mock.Mock()
self.offer.get_voucher.return_value = None
add_product(self.basket, D("5.00"))
# Apply benefit twice to simulate how Applicator will actually do it
self.benefit.apply(self.basket, self.condition, self.offer)
self.benefit.apply(self.basket, self.condition, self.offer)
line = self.basket.all_lines()[0]
descrs = line.get_discount_descriptions()
self.assertEqual(len(descrs), 1)
self.assertEqual(descrs[0].amount, D("1.00"))
self.assertEqual(descrs[0].offer_name, "My Offer Name")
self.assertEqual(descrs[0].offer_description, "My Offer Description")
self.assertIsNone(descrs[0].voucher_name)
self.assertIsNone(descrs[0].voucher_code)
def test_records_reason_for_discount_with_voucher(self):
voucher = mock.Mock()
voucher.name = "My Voucher"
voucher.code = "SWEETDEAL"
self.offer.name = "Offer for Voucher"
self.offer.description = ""
self.offer.get_voucher = mock.Mock()
self.offer.get_voucher.return_value = voucher
add_product(self.basket, D("5.00"))
# Apply benefit twice to simulate how Applicator will actually do it
self.benefit.apply(self.basket, self.condition, self.offer)
self.benefit.apply(self.basket, self.condition, self.offer)
line = self.basket.all_lines()[0]
descrs = line.get_discount_descriptions()
self.assertEqual(len(descrs), 1)
self.assertEqual(descrs[0].amount, D("1.00"))
self.assertEqual(descrs[0].offer_name, "Offer for Voucher")
self.assertEqual(descrs[0].offer_description, "")
self.assertEqual(descrs[0].voucher_name, "My Voucher")
self.assertEqual(descrs[0].voucher_code, "SWEETDEAL")
class TestAPercentageDiscountWithMaxItemsSetAppliedWithCountCondition(TestCase):
def setUp(self):
# Flush the cache
conn = get_redis_connection("redis")
conn.flushall()
range = Range.objects.create(name="All products", includes_all_products=True)
self.condition = BluelightCountCondition(
range=range,
proxy_class="oscarbluelight.offer.conditions.BluelightCountCondition",
value=2,
)
self.benefit = BluelightPercentageDiscountBenefit(
range=range,
proxy_class="oscarbluelight.offer.benefits.BluelightPercentageDiscountBenefit",
value=20,
max_affected_items=1,
)
self.offer = mock.Mock()
self.basket = factories.create_basket(empty=True)
def test_applies_correctly_to_empty_basket(self):
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(D("0.00"), result.discount)
self.assertEqual(0, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_matches_condition(self):
add_product(self.basket, D("12.00"), 2)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(1 * D("12.00") * D("0.2"), result.discount)
self.assertEqual(2, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_exceeds_condition(self):
add_products(self.basket, [(D("12.00"), 2), (D("20.00"), 2)])
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(1 * D("12.00") * D("0.2"), result.discount)
# Should only consume the condition products
self.assertEqual(2, self.basket.num_items_with_discount)
self.assertEqual(2, self.basket.num_items_without_discount)
class TestAPercentageDiscountWithMultipleApplicationsWithCountCondition(TestCase):
def setUp(self):
# Flush the cache
conn = get_redis_connection("redis")
conn.flushall()
self.range_mattresses = Range.objects.create(name="Mattresses")
self.range_slippers = Range.objects.create(name="Slippers")
self.mattress = factories.create_product(title="Mattress", price=D("2999.00"))
self.slipper1 = factories.create_product(title="Slipper", price=D("78.00"))
self.slipper2 = factories.create_product(title="Slipper", price=D("79.00"))
self.range_mattresses.add_product(self.mattress)
self.range_slippers.add_product(self.slipper1)
self.range_slippers.add_product(self.slipper2)
self.condition = BluelightCountCondition.objects.create(
range=self.range_mattresses,
proxy_class="oscarbluelight.offer.conditions.BluelightCountCondition",
value=1,
)
self.benefit = BluelightPercentageDiscountBenefit.objects.create(
range=self.range_slippers,
proxy_class="oscarbluelight.offer.benefits.BluelightPercentageDiscountBenefit",
value=D("100.00"),
max_affected_items=1,
)
self.offer = mock.Mock()
self.basket = factories.create_basket(empty=True)
def test_applies_correctly_to_basket_which_matches_multiple_lines_multiple_times(
self,
):
# Add two different lines to the basket
self.basket.add_product(self.mattress, 2)
self.basket.add_product(self.slipper1, 1)
self.basket.add_product(self.slipper2, 1)
# Apply once
self.assertTrue(self.condition.proxy().is_satisfied(self.offer, self.basket))
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertTrue(result.is_successful)
self.assertEqual(result.discount, D("78.00"))
self.assertEqual(self.basket.num_items_with_discount, 2)
self.assertEqual(self.basket.num_items_without_discount, 2)
# Apply second time
self.assertTrue(self.condition.proxy().is_satisfied(self.offer, self.basket))
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertTrue(result.is_successful)
self.assertEqual(result.discount, D("79.00"))
self.assertEqual(self.basket.num_items_with_discount, 4)
self.assertEqual(self.basket.num_items_without_discount, 0)
# Can't apply a third time because the condition is no longer satisfied
self.assertFalse(self.condition.proxy().is_satisfied(self.offer, self.basket))
class TestAPercentageDiscountAppliedWithValueCondition(TestCase):
def setUp(self):
# Flush the cache
conn = get_redis_connection("redis")
conn.flushall()
range = Range.objects.create(name="All products", includes_all_products=True)
self.condition = BluelightValueCondition.objects.create(
range=range,
proxy_class="oscarbluelight.offer.conditions.BluelightValueCondition",
value=D("10.00"),
)
self.benefit = BluelightPercentageDiscountBenefit.objects.create(
range=range,
proxy_class="oscarbluelight.offer.benefits.BluelightPercentageDiscountBenefit",
value=20,
)
self.offer = mock.Mock()
self.basket = factories.create_basket(empty=True)
def test_applies_correctly_to_empty_basket(self):
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(D("0.00"), result.discount)
self.assertEqual(0, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_matches_condition(self):
add_product(self.basket, D("5.00"), 2)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(2 * D("5.00") * D("0.2"), result.discount)
self.assertEqual(2, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_exceeds_condition_but_matches_on_boundary(
self,
):
add_product(self.basket, D("5.00"), 3)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(3 * D("5.00") * D("0.2"), result.discount)
self.assertEqual(3, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_exceeds_condition(self):
add_product(self.basket, D("4.00"), 3)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(3 * D("4.00") * D("0.2"), result.discount)
self.assertEqual(3, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
class TestAPercentageDiscountWithMaxItemsSetAppliedWithValueCondition(TestCase):
def setUp(self):
# Flush the cache
conn = get_redis_connection("redis")
conn.flushall()
range = Range.objects.create(name="All products", includes_all_products=True)
self.condition = BluelightValueCondition.objects.create(
range=range,
proxy_class="oscarbluelight.offer.conditions.BluelightValueCondition",
value=D("10.00"),
)
self.benefit = BluelightPercentageDiscountBenefit.objects.create(
range=range,
proxy_class="oscarbluelight.offer.benefits.BluelightPercentageDiscountBenefit",
value=20,
max_affected_items=1,
)
self.offer = mock.Mock()
self.basket = factories.create_basket(empty=True)
def test_applies_correctly_to_empty_basket(self):
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(D("0.00"), result.discount)
self.assertEqual(0, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_matches_condition(self):
add_product(self.basket, D("5.00"), 2)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(1 * D("5.00") * D("0.2"), result.discount)
self.assertEqual(2, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_exceeds_condition_but_matches_on_boundary(
self,
):
add_product(self.basket, D("5.00"), 3)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(1 * D("5.00") * D("0.2"), result.discount)
self.assertEqual(2, self.basket.num_items_with_discount)
self.assertEqual(1, self.basket.num_items_without_discount)
def test_applies_correctly_to_basket_which_exceeds_condition(self):
add_product(self.basket, D("4.00"), 3)
result = self.benefit.apply(self.basket, self.condition, self.offer)
self.assertEqual(1 * D("4.00") * D("0.2"), result.discount)
self.assertEqual(3, self.basket.num_items_with_discount)
self.assertEqual(0, self.basket.num_items_without_discount)
class TestAPercentageDiscountBenefit(TestCase):
def setUp(self):
# Flush the cache
conn = get_redis_connection("redis")
conn.flushall()
def test_requires_a_benefit_value(self):
rng = Range.objects.create(name="", includes_all_products=True)
benefit = Benefit.objects.create(
range=rng,
proxy_class="oscarbluelight.offer.benefits.BluelightPercentageDiscountBenefit",
)
with self.assertRaises(exceptions.ValidationError):
benefit.clean()
| 45.374251
| 91
| 0.692577
| 1,825
| 15,155
| 5.558904
| 0.084384
| 0.083785
| 0.046131
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| 0.833514
| 0.810744
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| 0.262774
| 1
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| false
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|
0
| 6
|
4602886d15507fa511fee4f9d72dd974724d982f
| 33,743
|
py
|
Python
|
test/unit_testing/grid/element_linear_dx_data/test_element_linearC/element/geom_element_AD.py
|
nwukie/ChiDG
|
d096548ba3bd0a338a29f522fb00a669f0e33e9b
|
[
"BSD-3-Clause"
] | 36
|
2016-10-05T15:12:22.000Z
|
2022-03-17T02:08:23.000Z
|
test/unit_testing/grid/element_linear_dx_data/test_element_linearC/element/geom_element_AD.py
|
nwukie/ChiDG
|
d096548ba3bd0a338a29f522fb00a669f0e33e9b
|
[
"BSD-3-Clause"
] | 17
|
2016-05-17T02:21:05.000Z
|
2017-08-10T16:33:07.000Z
|
test/unit_testing/grid/element_linear_dx_data/test_element_linearC/element/geom_element_AD.py
|
nwukie/ChiDG
|
d096548ba3bd0a338a29f522fb00a669f0e33e9b
|
[
"BSD-3-Clause"
] | 20
|
2016-07-18T16:20:47.000Z
|
2020-11-27T19:26:12.000Z
|
from __future__ import division
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import sys
import os
import time
#
# TORCH INSTALLATION: refer to https://pytorch.org/get-started/locally/
#
def update_progress(job_title, progress):
length = 20 # modify this to change the length
block = int(round(length*progress))
msg = "\r{0}: [{1}] {2}%".format(job_title, "#"*block + "-"*(length-block), round(progress*100, 2))
if progress >= 1: msg += " DONE\r\n"
sys.stdout.write(msg)
sys.stdout.flush()
def cls():
os.system('cls' if os.name=='nt' else 'clear')
cls()
################################################################################################################
# Initialize torch tensor for coordiantes
coords_data = [[ 0.0 , 0.0 , 0.0 ],
[ 1.0/(2.0**0.5), 0.0 , 1.0/(2.0**0.5)],
[ 1.0/(2.0**0.5), 0.0 ,-1.0/(2.0**0.5)],
[ 2.0**0.5 , 0.0 , 0.0 ],
[ 0.0 , 1.0 , 0.0 ],
[ 1.0/(2.0**0.5), 1.0 , 1.0/(2.0**0.5)],
[ 1.0/(2.0**0.5), 1.0 ,-1.0/(2.0**0.5)],
[ 2.0**0.5 , 1.0 , 0.0 ],
]
coords = torch.tensor(coords_data,requires_grad=True,dtype=torch.float64)
nnodes_r = coords.size(0)
nnodes_ie = 8
nnodes_if = 4
nterms_s = 8
ndirs = 3
coord_sys = 'CARTESIAN'
# Define matrix of polynomial basis terms at support nodes
val_r_data = [[ 1.0,-1.0,-1.0,-1.0, 1.0, 1.0, 1.0,-1.0],
[ 1.0,-1.0,-1.0, 1.0,-1.0,-1.0, 1.0, 1.0],
[ 1.0, 1.0,-1.0,-1.0,-1.0, 1.0,-1.0, 1.0],
[ 1.0, 1.0,-1.0, 1.0, 1.0,-1.0,-1.0,-1.0],
[ 1.0,-1.0, 1.0,-1.0, 1.0,-1.0,-1.0, 1.0],
[ 1.0,-1.0, 1.0, 1.0,-1.0, 1.0,-1.0,-1.0],
[ 1.0, 1.0, 1.0,-1.0,-1.0,-1.0, 1.0,-1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
]
val_r = torch.tensor(val_r_data,requires_grad=False,dtype=torch.float64)
# Define matrices at interpolation nodes (quadrature, level = 1)
val_i_data = [[ 1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0, 1.0/3.0, 1.0/3.0,-1.0/3.0*np.sqrt(1.0/3.0)],
[ 1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0,-1.0/3.0, 1.0/3.0, 1.0/3.0*np.sqrt(1.0/3.0)],
[ 1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0, 1.0/3.0,-1.0/3.0, 1.0/3.0*np.sqrt(1.0/3.0)],
[ 1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0,-1.0/3.0,-1.0/3.0,-1.0/3.0*np.sqrt(1.0/3.0)],
[ 1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0,-1.0/3.0,-1.0/3.0, 1.0/3.0*np.sqrt(1.0/3.0)],
[ 1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0, 1.0/3.0,-1.0/3.0,-1.0/3.0*np.sqrt(1.0/3.0)],
[ 1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0,-1.0/3.0, 1.0/3.0,-1.0/3.0*np.sqrt(1.0/3.0)],
[ 1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0, 1.0/3.0, 1.0/3.0, 1.0/3.0*np.sqrt(1.0/3.0)],
]
val_i = torch.tensor(val_i_data,requires_grad=False,dtype=torch.float64)
ddxi_i_data = [[ 0.0,0.0,0.0,1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),0.0, 1.0/3.0],
[ 0.0,0.0,0.0,1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),0.0, 1.0/3.0],
[ 0.0,0.0,0.0,1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),0.0,-1.0/3.0],
[ 0.0,0.0,0.0,1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),0.0,-1.0/3.0],
[ 0.0,0.0,0.0,1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),0.0,-1.0/3.0],
[ 0.0,0.0,0.0,1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),0.0,-1.0/3.0],
[ 0.0,0.0,0.0,1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),0.0, 1.0/3.0],
[ 0.0,0.0,0.0,1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),0.0, 1.0/3.0],
]
ddxi_i = torch.tensor(ddxi_i_data,requires_grad=False,dtype=torch.float64)
ddeta_i_data = [[ 0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0),0.0,-np.sqrt(1.0/3.0), 1.0/3.0],
[ 0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0),0.0,-np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0),0.0,-np.sqrt(1.0/3.0), 1.0/3.0],
[ 0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0),0.0,-np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0),0.0, np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0),0.0, np.sqrt(1.0/3.0), 1.0/3.0],
[ 0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0),0.0, np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0),0.0, np.sqrt(1.0/3.0), 1.0/3.0],
]
ddeta_i = torch.tensor(ddeta_i_data,requires_grad=False,dtype=torch.float64)
ddzeta_i_data= [[ 0.0,0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0],
[ 0.0,0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0],
[ 0.0,0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0],
[ 0.0,0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,0.0,1.0,0.0,0.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0],
[ 0.0,0.0,1.0,0.0,0.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0],
]
ddzeta_i = torch.tensor(ddzeta_i_data,requires_grad=False,dtype=torch.float64)
# Define element interpolation nodes weights for linear element
weights_e_data = [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]
weights_e = torch.tensor(weights_e_data,requires_grad=False,dtype=torch.float64)
# Define val_f for each face
# Face 1, XI_MIN
val_1_data = [[ 1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0,-1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0, 1.0/3.0],
[ 1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0, 1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0,-1.0/3.0],
]
val_1 = torch.tensor(val_1_data,requires_grad=False,dtype=torch.float64)
# Face 2, XI_MAX
val_2_data = [[ 1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0, 1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0,-1.0/3.0],
[ 1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0,-1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0, 1.0/3.0],
]
val_2 = torch.tensor(val_2_data,requires_grad=False,dtype=torch.float64)
# Face 3, ETA_MIN
val_3_data = [[ 1.0,-1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0, np.sqrt(1.0/3.0),-1.0/3.0],
[ 1.0,-1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0, np.sqrt(1.0/3.0), 1.0/3.0],
[ 1.0,-1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0,-np.sqrt(1.0/3.0), 1.0/3.0],
[ 1.0,-1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0,-np.sqrt(1.0/3.0),-1.0/3.0],
]
val_3 = torch.tensor(val_3_data,requires_grad=False,dtype=torch.float64)
# Face 4, ETA_MAX
val_4_data = [[ 1.0,1.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0,-np.sqrt(1.0/3.0), 1.0/3.0],
[ 1.0,1.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0,-np.sqrt(1.0/3.0),-1.0/3.0],
[ 1.0,1.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0, np.sqrt(1.0/3.0),-1.0/3.0],
[ 1.0,1.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0, np.sqrt(1.0/3.0), 1.0/3.0],
]
val_4 = torch.tensor(val_4_data,requires_grad=False,dtype=torch.float64)
# Face 5, ZETA_MIN
val_5_data = [[ 1.0,-np.sqrt(1.0/3.0),-1.0,-np.sqrt(1.0/3.0), 1.0/3.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0],
[ 1.0,-np.sqrt(1.0/3.0),-1.0, np.sqrt(1.0/3.0),-1.0/3.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0),-1.0,-np.sqrt(1.0/3.0),-1.0/3.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0),-1.0, np.sqrt(1.0/3.0), 1.0/3.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0],
]
val_5 = torch.tensor(val_5_data,requires_grad=False,dtype=torch.float64)
# Face 6, ZETA_MAX
val_6_data = [[ 1.0,-np.sqrt(1.0/3.0),1.0,-np.sqrt(1.0/3.0), 1.0/3.0,-np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0), 1.0/3.0],
[ 1.0,-np.sqrt(1.0/3.0),1.0, np.sqrt(1.0/3.0),-1.0/3.0, np.sqrt(1.0/3.0),-np.sqrt(1.0/3.0),-1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0),1.0,-np.sqrt(1.0/3.0),-1.0/3.0,-np.sqrt(1.0/3.0), np.sqrt(1.0/3.0),-1.0/3.0],
[ 1.0, np.sqrt(1.0/3.0),1.0, np.sqrt(1.0/3.0), 1.0/3.0, np.sqrt(1.0/3.0), np.sqrt(1.0/3.0), 1.0/3.0],
]
val_6 = torch.tensor(val_6_data,requires_grad=False,dtype=torch.float64)
#--------------------------------------------------------------------
# Matrix modes_to_nodes
val_r_inv = torch.inverse(val_r)
# Computes coordiantes modes
coords_modes = torch.mm(val_r_inv,coords)
# Initialized coordiantes
interp_coords = torch.mm(val_i,coords_modes)
# Initialized jacobian
jacobian = torch.empty(3,3,nnodes_ie, dtype=torch.float64)
for inode in range(0,nnodes_ie):
jacobian[0,0,inode] = torch.dot(ddxi_i[inode,:] , coords_modes[:,0])
jacobian[0,1,inode] = torch.dot(ddeta_i[inode,:] , coords_modes[:,0])
jacobian[0,2,inode] = torch.dot(ddzeta_i[inode,:] , coords_modes[:,0])
jacobian[1,0,inode] = torch.dot(ddxi_i[inode,:] , coords_modes[:,1])
jacobian[1,1,inode] = torch.dot(ddeta_i[inode,:] , coords_modes[:,1])
jacobian[1,2,inode] = torch.dot(ddzeta_i[inode,:] , coords_modes[:,1])
jacobian[2,0,inode] = torch.dot(ddxi_i[inode,:] , coords_modes[:,2])
jacobian[2,1,inode] = torch.dot(ddeta_i[inode,:] , coords_modes[:,2])
jacobian[2,2,inode] = torch.dot(ddzeta_i[inode,:] , coords_modes[:,2])
update_progress("Computing Jacobian ", inode/(nnodes_ie-1))
if coord_sys == 'CYLINDRICAL':
scaling_factor = torch.mm(val_i,coords_modes[:,0])
for inode in range(0,nnodes_ie):
jacobian[1,0,inode] = jacobian[1,0,inode] * scaling_factor[inode]
jacobian[1,1,inode] = jacobian[1,1,inode] * scaling_factor[inode]
jacobian[1,2,inode] = jacobian[1,2,inode] * scaling_factor[inode]
# Matrics and Determinant
metrics = torch.empty(3,3,nnodes_ie, dtype=torch.float64)
jinv = torch.empty(nnodes_ie, dtype=torch.float64)
for inode in range(0,nnodes_ie):
ijacobian = torch.empty(3,3, dtype=torch.float64)
imetric = torch.empty(3,3, dtype=torch.float64)
for irow in range(0,3):
for icol in range(0,3):
ijacobian[irow,icol] = jacobian[irow,icol,inode]
# Compute jacobian for the ith node
update_progress("Computing Jinv and Metric ", inode/(nnodes_ie-1))
jinv[inode] = torch.det(ijacobian)
imetric = torch.inverse(ijacobian)
for irow in range(0,3):
for icol in range(0,3):
metrics[irow,icol,inode] = imetric[irow,icol]
# Compute inverse Mass matrix
invmass = torch.empty(nterms_s,nterms_s,nnodes_ie, dtype=torch.float64)
mass = torch.empty(nterms_s,nterms_s,nnodes_ie, dtype=torch.float64)
val_tmp = torch.empty(nterms_s,nnodes_ie, dtype=torch.float64)
i = 1
for iterm in range(0,nterms_s):
for inode in range(0,nnodes_ie):
val_tmp[inode,iterm] = val_i[inode,iterm] * weights_e[inode] * jinv[inode]
update_progress("Computing invmass ", i/(nterms_s*nnodes_ie))
i += 1
mass = torch.mm(torch.t(val_tmp),val_i)
invmass = torch.inverse(mass)
# Compute BR2_VOL for each face
br2_vol_face1 = torch.mm(val_i,torch.mm(invmass,torch.t(val_1)))
br2_vol_face2 = torch.mm(val_i,torch.mm(invmass,torch.t(val_2)))
br2_vol_face3 = torch.mm(val_i,torch.mm(invmass,torch.t(val_3)))
br2_vol_face4 = torch.mm(val_i,torch.mm(invmass,torch.t(val_4)))
br2_vol_face5 = torch.mm(val_i,torch.mm(invmass,torch.t(val_5)))
br2_vol_face6 = torch.mm(val_i,torch.mm(invmass,torch.t(val_6)))
update_progress("Computing br2_vol ", 1)
# Compute BR2_FACE for each face
br2_face_face1 = torch.mm(val_1,torch.mm(invmass,torch.t(val_1)))
br2_face_face2 = torch.mm(val_2,torch.mm(invmass,torch.t(val_2)))
br2_face_face3 = torch.mm(val_3,torch.mm(invmass,torch.t(val_3)))
br2_face_face4 = torch.mm(val_4,torch.mm(invmass,torch.t(val_4)))
br2_face_face5 = torch.mm(val_5,torch.mm(invmass,torch.t(val_5)))
br2_face_face6 = torch.mm(val_6,torch.mm(invmass,torch.t(val_6)))
update_progress("Computing br2_face ", 1)
# Grad1, Grad2, and Grad3
grad1 = torch.empty(nnodes_ie,nterms_s, dtype=torch.float64)
grad2 = torch.empty(nnodes_ie,nterms_s, dtype=torch.float64)
grad3 = torch.empty(nnodes_ie,nterms_s, dtype=torch.float64)
i = 1
for iterm in range(0,nterms_s):
for inode in range(0,nnodes_ie):
grad1[inode,iterm] = metrics[0,0,inode] * ddxi_i[inode,iterm] + metrics[1,0,inode] * ddeta_i[inode,iterm] + metrics[2,0,inode] * ddzeta_i[inode,iterm]
grad2[inode,iterm] = metrics[0,1,inode] * ddxi_i[inode,iterm] + metrics[1,1,inode] * ddeta_i[inode,iterm] + metrics[2,1,inode] * ddzeta_i[inode,iterm]
grad3[inode,iterm] = metrics[0,2,inode] * ddxi_i[inode,iterm] + metrics[1,2,inode] * ddeta_i[inode,iterm] + metrics[2,2,inode] * ddzeta_i[inode,iterm]
update_progress("Computing grad1, grad2, grad3 ", i/(nnodes_ie*nterms_s))
i += 1
#WRITE_____________________
#
# Metrics
#
f = open("metrics.txt","w")
i = 1
for inode in range (0,nnodes_ie):
f.write("Metric interpolation node %d \n" % (inode+1))
array = np.zeros([3, 3])
for irow in range(0,3):
for icol in range(0,3):
array[irow,icol] = metrics[irow,icol,inode].item()
update_progress("Writing metrics to file ", i/(nnodes_ie*9))
i += 1
np.savetxt(f,array)
f.close()
#
# jinv
#
f = open("jinv.txt","w")
array = np.zeros([1])
i = 1
for inode in range (0,nnodes_ie):
f.write("Jinv interpolation node %d \n" % (inode+1))
array[0] = jinv[inode].item()
np.savetxt(f,array)
update_progress("Writing jinv to file ", i/(nnodes_ie))
i += 1
f.close()
#
# Grad1
#
f = open("grad1.txt","w")
f.write("Grad1 \n")
array = np.zeros([nnodes_ie,nterms_s])
i = 1
for inode in range (0,nnodes_ie):
for iterm in range(0,nterms_s):
array[inode,iterm] = grad1[inode,iterm].item()
update_progress("Writing grad1 to file ", i/(nnodes_ie*nterms_s))
i += 1
np.savetxt(f,array)
f.close()
#
# Grad2
#
f = open("grad2.txt","w")
f.write("Grad2 \n")
array = np.zeros([nnodes_ie,nterms_s])
i = 1
for inode in range (0,nnodes_ie):
for iterm in range(0,nterms_s):
array[inode,iterm] = grad2[inode,iterm].item()
update_progress("Writing grad2 to file ", i/(nnodes_ie*nterms_s))
i += 1
np.savetxt(f,array)
f.close()
#
# Grad3
#
f = open("grad3.txt","w")
f.write("Grad3 \n")
array = np.zeros([nnodes_ie,nterms_s])
i = 1
for inode in range (0,nnodes_ie):
for iterm in range(0,nterms_s):
array[inode,iterm] = grad3[inode,iterm].item()
update_progress("Writing grad3 to file ", i/(nnodes_ie*nterms_s))
i += 1
np.savetxt(f,array)
f.close()
#
# dmetric_dx
#
f = open("dmetric_dx.txt","w")
i = 1
for inode in range (0,nnodes_ie):
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
array = np.zeros([3,3])
f.write("dmetric_dx interpolation node %s, diff_node %s, diff_dir %s \n" % (inode+1,inode_diff+1,idir+1))
for irow in range(0,3):
for icol in range(0,3):
data = metrics[irow,icol,inode]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dmetric_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*3*3))
# This avoid to accumulate derivatives
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# interp_coords_dx
#
f = open("dinterp_xcoords_dx.txt","w")
i = 1
f.write("xcoord interpolation, coord 1, row=node, col=nnodes_r*dir \n")
array = np.zeros([nnodes_ie,nnodes_r*ndirs])
for inode in range (0,nnodes_ie):
data = interp_coords[inode,0]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
if idir == 0:
index = inode_diff
elif idir == 1:
index = nnodes_r + inode_diff
elif idir == 2:
index = 2*nnodes_r + inode_diff
array[inode,index] = ddata_np[inode_diff,idir]
update_progress("Writing interp_xcoords_dx to file ", i/(nnodes_ie*nnodes_r*3))
i += 1
# This avoid to accumulate derivatives
dummy = coords.grad.data.zero_()
np.savetxt(f,array)
f.close()
f = open("dinterp_ycoords_dx.txt","w")
i = 1
f.write("ycoord interpolation, coord 2, row=node, col=nnodes_r*dir \n")
array = np.zeros([nnodes_ie,nnodes_r*ndirs])
for inode in range (0,nnodes_ie):
data = interp_coords[inode,1]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
if idir == 0:
index = inode_diff
elif idir == 1:
index = nnodes_r + inode_diff
elif idir == 2:
index = 2*nnodes_r + inode_diff
array[inode,index] = ddata_np[inode_diff,idir]
update_progress("Writing interp_ycoords_dx to file ", i/(nnodes_ie*nnodes_r*3))
i += 1
# This avoid to accumulate derivatives
dummy = coords.grad.data.zero_()
np.savetxt(f,array)
f.close()
f = open("dinterp_zcoords_dx.txt","w")
i = 1
f.write("zcoord interpolation, coord 3, row=node, col=nnodes_r*dir \n")
array = np.zeros([nnodes_ie,nnodes_r*ndirs])
for inode in range (0,nnodes_ie):
data = interp_coords[inode,2]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
if idir == 0:
index = inode_diff
elif idir == 1:
index = nnodes_r + inode_diff
elif idir == 2:
index = 2*nnodes_r + inode_diff
array[inode,index] = ddata_np[inode_diff,idir]
update_progress("Writing interp_zcoords_dx to file ", i/(nnodes_ie*nnodes_r*3))
i += 1
# This avoid to accumulate derivatives
dummy = coords.grad.data.zero_()
np.savetxt(f,array)
f.close()
#
# djinv_dx
#
f = open("djinv_dx.txt","w")
i = 1
for inode in range (0,nnodes_ie):
array = np.zeros([nnodes_r,ndirs])
f.write("djinv_dx interpolation node %s, row=inode_diff, col=dir \n" % (inode+1))
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
data = jinv[inode]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[inode_diff,idir] = ddata_np[inode_diff,idir]
update_progress("Writing djinv_dx to file ", i/(nnodes_ie*nnodes_r*ndirs))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# dmass_dx
#
f = open("dmass_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dmass_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nterms_s,nterms_s])
for irow in range(0,nterms_s):
for icol in range(0,nterms_s):
data = mass[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dmass_dx to file ", i/(nterms_s*nnodes_r*ndirs*nterms_s))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# dinvmass_dx
#
f = open("dinvmass_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dinvmass_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nterms_s,nterms_s])
for irow in range(0,nterms_s):
for icol in range(0,nterms_s):
data = invmass[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dinvmass_dx to file ", i/(nterms_s*nnodes_r*ndirs*nterms_s))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# dbr2_vol_dx
#
#
f = open("dbr2_vol_face1_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_vol_face1_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nnodes_if])
for irow in range(0,nnodes_ie):
for icol in range(0,nnodes_if):
data = br2_vol_face1[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_vol_face1_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_vol_face2_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_vol_face2_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nnodes_if])
for irow in range(0,nnodes_ie):
for icol in range(0,nnodes_if):
data = br2_vol_face2[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_vol_face2_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_vol_face3_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_vol_face3_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nnodes_if])
for irow in range(0,nnodes_ie):
for icol in range(0,nnodes_if):
data = br2_vol_face3[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_vol_face3_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_vol_face4_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_vol_face4_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nnodes_if])
for irow in range(0,nnodes_ie):
for icol in range(0,nnodes_if):
data = br2_vol_face4[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_vol_face4_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_vol_face5_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_vol_face5_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nnodes_if])
for irow in range(0,nnodes_ie):
for icol in range(0,nnodes_if):
data = br2_vol_face5[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_vol_face5_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_vol_face6_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_vol_face6_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nnodes_if])
for irow in range(0,nnodes_ie):
for icol in range(0,nnodes_if):
data = br2_vol_face6[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_vol_face6_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# dbr2_face_dx
#
#
f = open("dbr2_face_face1_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_face_face1_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_if,nnodes_if])
for irow in range(0,nnodes_if):
for icol in range(0,nnodes_if):
data = br2_face_face1[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_face_face1_dx to file ", i/(nnodes_if*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_face_face2_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_face_face2_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_if,nnodes_if])
for irow in range(0,nnodes_if):
for icol in range(0,nnodes_if):
data = br2_face_face2[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_face_face2_dx to file ", i/(nnodes_if*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_face_face3_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_face_face3_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_if,nnodes_if])
for irow in range(0,nnodes_if):
for icol in range(0,nnodes_if):
data = br2_face_face3[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_face_face3_dx to file ", i/(nnodes_if*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_face_face4_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_face_face4_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_if,nnodes_if])
for irow in range(0,nnodes_if):
for icol in range(0,nnodes_if):
data = br2_face_face4[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_face_face4_dx to file ", i/(nnodes_if*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_face_face5_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_face_face5_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_if,nnodes_if])
for irow in range(0,nnodes_if):
for icol in range(0,nnodes_if):
data = br2_face_face5[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_face_face5_dx to file ", i/(nnodes_if*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
f = open("dbr2_face_face6_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dbr2_face_face6_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_if,nnodes_if])
for irow in range(0,nnodes_if):
for icol in range(0,nnodes_if):
data = br2_face_face6[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dbr2_face_face6_dx to file ", i/(nnodes_if*nnodes_r*ndirs*nnodes_if))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# dgrad1_dx
#
f = open("dgrad1_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dgrad1_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nterms_s])
for irow in range(0,nnodes_ie):
for icol in range(0,nterms_s):
data = grad1[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dgrad1_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nterms_s))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# dgrad2_dx
#
f = open("dgrad2_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dgrad2_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nterms_s])
for irow in range(0,nnodes_ie):
for icol in range(0,nterms_s):
data = grad2[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dgrad2_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nterms_s))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
#
# dgrad3_dx
#
f = open("dgrad3_dx.txt","w")
i = 1
for inode_diff in range(0,nnodes_r):
for idir in range(0,ndirs):
f.write("dgrad3_dx => diff_node %s, diff_dir %s \n" % (inode_diff+1,idir+1))
array = np.zeros([nnodes_ie,nterms_s])
for irow in range(0,nnodes_ie):
for icol in range(0,nterms_s):
data = grad3[irow,icol]
data.backward(retain_graph=True)
ddata = coords.grad
ddata_np = ddata.numpy()
array[irow,icol] = ddata_np[inode_diff,idir]
update_progress("Writing dgrad3_dx to file ", i/(nnodes_ie*nnodes_r*ndirs*nterms_s))
dummy = coords.grad.data.zero_()
i += 1
np.savetxt(f,array)
f.close()
| 40.950243
| 159
| 0.564532
| 6,117
| 33,743
| 2.974661
| 0.03335
| 0.049242
| 0.046164
| 0.061552
| 0.830457
| 0.818641
| 0.802209
| 0.776819
| 0.735986
| 0.705155
| 0
| 0.090356
| 0.250215
| 33,743
| 823
| 160
| 41
| 0.628854
| 0.032688
| 0
| 0.586989
| 0
| 0
| 0.089054
| 0.009987
| 0
| 0
| 0
| 0
| 0
| 1
| 0.003026
| false
| 0
| 0.015129
| 0
| 0.018154
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
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|
0
| 6
|
1cc17ff4c766e10f3ad5dd61384738c26b148c2c
| 22,005
|
py
|
Python
|
octavia_tempest_plugin/services/load_balancer/v2/listener_client.py
|
NeCTAR-RC/octavia-tempest-plugin
|
5506c00b8d8972e6223499dd5a5da4c85c1ff836
|
[
"Apache-2.0"
] | null | null | null |
octavia_tempest_plugin/services/load_balancer/v2/listener_client.py
|
NeCTAR-RC/octavia-tempest-plugin
|
5506c00b8d8972e6223499dd5a5da4c85c1ff836
|
[
"Apache-2.0"
] | null | null | null |
octavia_tempest_plugin/services/load_balancer/v2/listener_client.py
|
NeCTAR-RC/octavia-tempest-plugin
|
5506c00b8d8972e6223499dd5a5da4c85c1ff836
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2017 GoDaddy
#
# 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.
#
from oslo_serialization import jsonutils
from tempest import config
from octavia_tempest_plugin.services.load_balancer.v2 import base_client
CONF = config.CONF
Unset = base_client.Unset
class ListenerClient(base_client.BaseLBaaSClient):
root_tag = 'listener'
list_root_tag = 'listeners'
def create_listener(self, protocol, protocol_port, loadbalancer_id,
name=Unset, description=Unset, admin_state_up=Unset,
connection_limit=Unset, timeout_client_data=Unset,
timeout_member_connect=Unset,
timeout_member_data=Unset, timeout_tcp_inspect=Unset,
insert_headers=Unset, default_pool_id=Unset,
default_tls_container_ref=Unset,
sni_container_refs=Unset, client_authentication=Unset,
client_ca_tls_container_ref=Unset,
client_crl_container_ref=Unset,
return_object_only=True):
"""Create a listener.
:param protocol: The protocol for the resource.
:param protocol_port: The protocol port number for the resource.
:param loadbalancer_id: The ID of the load balancer.
:param name: Human-readable name of the resource.
:param description: A human-readable description for the resource.
:param admin_state_up: The administrative state of the resource, which
is up (true) or down (false).
:param connection_limit: The maximum number of connections permitted
for this listener. Default value is -1 which
represents infinite connections.
:param timeout_client_data: Frontend client inactivity timeout in
milliseconds.
:param timeout_member_connect: Backend member connection timeout in
milliseconds.
:param timeout_member_data: Backend member inactivity timeout in
milliseconds.
:param timeout_tcp_inspect: Time, in milliseconds, to wait for
additional TCP packets for content
inspection.
:param insert_headers: A dictionary of optional headers to insert into
the request before it is sent to the backend
member.
:param default_pool_id: The ID of the pool used by the listener if no
L7 policies match.
:param default_tls_container_ref: The URI of the key manager service
secret containing a PKCS12 format
certificate/key bundle for
TERMINATED_TLS listeners.
:param sni_container_refs: A list of URIs to the key manager service
secrets containing PKCS12 format
certificate/key bundles for TERMINATED_TLS
listeners.
:param client_authentication: The TLS client authentication mode. One
of the options NONE, OPTIONAL or
MANDATORY.
:param client_ca_tls_container_ref: The ref of the key manager service
secret containing a PEM format
client CA certificate bundle for
TERMINATED_HTTPS listeners.
:param client_crl_container_ref: The URI of the key manager service
secret containing a PEM format CA
revocation list file for
TERMINATED_HTTPS listeners.
:param return_object_only: If True, the response returns the object
inside the root tag. False returns the full
response from the API.
:raises AssertionError: if the expected_code isn't a valid http success
response code
:raises BadRequest: If a 400 response code is received
:raises Conflict: If a 409 response code is received
:raises Forbidden: If a 403 response code is received
:raises Gone: If a 410 response code is received
:raises InvalidContentType: If a 415 response code is received
:raises InvalidHTTPResponseBody: The response body wasn't valid JSON
:raises InvalidHttpSuccessCode: if the read code isn't an expected
http success code
:raises NotFound: If a 404 response code is received
:raises NotImplemented: If a 501 response code is received
:raises OverLimit: If a 413 response code is received and over_limit is
not in the response body
:raises RateLimitExceeded: If a 413 response code is received and
over_limit is in the response body
:raises ServerFault: If a 500 response code is received
:raises Unauthorized: If a 401 response code is received
:raises UnexpectedContentType: If the content-type of the response
isn't an expect type
:raises UnexpectedResponseCode: If a response code above 400 is
received and it doesn't fall into any
of the handled checks
:raises UnprocessableEntity: If a 422 response code is received and
couldn't be parsed
:returns: A listener object.
"""
kwargs = {arg: value for arg, value in locals().items()
if arg != 'self' and value is not Unset}
return self._create_object(**kwargs)
def show_listener(self, listener_id, query_params=None,
return_object_only=True):
"""Get listener details.
:param listener_id: The listener ID to query.
:param query_params: The optional query parameters to append to the
request. Ex. fields=id&fields=name
:param return_object_only: If True, the response returns the object
inside the root tag. False returns the full
response from the API.
:raises AssertionError: if the expected_code isn't a valid http success
response code
:raises BadRequest: If a 400 response code is received
:raises Conflict: If a 409 response code is received
:raises Forbidden: If a 403 response code is received
:raises Gone: If a 410 response code is received
:raises InvalidContentType: If a 415 response code is received
:raises InvalidHTTPResponseBody: The response body wasn't valid JSON
:raises InvalidHttpSuccessCode: if the read code isn't an expected
http success code
:raises NotFound: If a 404 response code is received
:raises NotImplemented: If a 501 response code is received
:raises OverLimit: If a 413 response code is received and over_limit is
not in the response body
:raises RateLimitExceeded: If a 413 response code is received and
over_limit is in the response body
:raises ServerFault: If a 500 response code is received
:raises Unauthorized: If a 401 response code is received
:raises UnexpectedContentType: If the content-type of the response
isn't an expect type
:raises UnexpectedResponseCode: If a response code above 400 is
received and it doesn't fall into any
of the handled checks
:raises UnprocessableEntity: If a 422 response code is received and
couldn't be parsed
:returns: A listener object.
"""
return self._show_object(obj_id=listener_id,
query_params=query_params,
return_object_only=return_object_only)
def list_listeners(self, query_params=None, return_object_only=True):
"""Get a list of listener objects.
:param query_params: The optional query parameters to append to the
request. Ex. fields=id&fields=name
:param return_object_only: If True, the response returns the object
inside the root tag. False returns the full
response from the API.
:raises AssertionError: if the expected_code isn't a valid http success
response code
:raises BadRequest: If a 400 response code is received
:raises Conflict: If a 409 response code is received
:raises Forbidden: If a 403 response code is received
:raises Gone: If a 410 response code is received
:raises InvalidContentType: If a 415 response code is received
:raises InvalidHTTPResponseBody: The response body wasn't valid JSON
:raises InvalidHttpSuccessCode: if the read code isn't an expected
http success code
:raises NotFound: If a 404 response code is received
:raises NotImplemented: If a 501 response code is received
:raises OverLimit: If a 413 response code is received and over_limit is
not in the response body
:raises RateLimitExceeded: If a 413 response code is received and
over_limit is in the response body
:raises ServerFault: If a 500 response code is received
:raises Unauthorized: If a 401 response code is received
:raises UnexpectedContentType: If the content-type of the response
isn't an expect type
:raises UnexpectedResponseCode: If a response code above 400 is
received and it doesn't fall into any
of the handled checks
:raises UnprocessableEntity: If a 422 response code is received and
couldn't be parsed
:returns: A list of listener objects.
"""
return self._list_objects(query_params=query_params,
return_object_only=return_object_only)
def update_listener(self, listener_id, name=Unset, description=Unset,
admin_state_up=Unset, connection_limit=Unset,
timeout_client_data=Unset,
timeout_member_connect=Unset,
timeout_member_data=Unset, timeout_tcp_inspect=Unset,
insert_headers=Unset, default_pool_id=Unset,
default_tls_container_ref=Unset,
sni_container_refs=Unset, client_authentication=Unset,
client_ca_tls_container_ref=Unset,
client_crl_container_ref=Unset,
return_object_only=True):
"""Update a listener.
:param listener_id: The listener ID to update.
:param name: Human-readable name of the resource.
:param description: A human-readable description for the resource.
:param admin_state_up: The administrative state of the resource, which
is up (true) or down (false).
:param connection_limit: The maximum number of connections permitted
for this listener. Default value is -1 which
represents infinite connections.
:param timeout_client_data: Frontend client inactivity timeout in
milliseconds.
:param timeout_member_connect: Backend member connection timeout in
milliseconds.
:param timeout_member_data: Backend member inactivity timeout in
milliseconds.
:param timeout_tcp_inspect: Time, in milliseconds, to wait for
additional TCP packets for content
inspection.
:param insert_headers: A dictionary of optional headers to insert into
the request before it is sent to the backend
member.
:param default_pool_id: The ID of the pool used by the listener if no
L7 policies match.
:param default_tls_container_ref: The URI of the key manager service
secret containing a PKCS12 format
certificate/key bundle for
TERMINATED_TLS listeners.
:param sni_container_refs: A list of URIs to the key manager service
secrets containing PKCS12 format
certificate/key bundles for TERMINATED_TLS
listeners.
:param client_authentication: The TLS client authentication mode. One
of the options NONE, OPTIONAL or
MANDATORY.
:param client_ca_tls_container_ref: The ref of the key manager service
secret containing a PEM format
client CA certificate bundle for
TERMINATED_HTTPS listeners.
:param client_crl_container_ref: The URI of the key manager service
secret containing a PEM format CA
revocation list file for
TERMINATED_HTTPS listeners.
:param return_object_only: If True, the response returns the object
inside the root tag. False returns the full
response from the API.
:raises AssertionError: if the expected_code isn't a valid http success
response code
:raises BadRequest: If a 400 response code is received
:raises Conflict: If a 409 response code is received
:raises Forbidden: If a 403 response code is received
:raises Gone: If a 410 response code is received
:raises InvalidContentType: If a 415 response code is received
:raises InvalidHTTPResponseBody: The response body wasn't valid JSON
:raises InvalidHttpSuccessCode: if the read code isn't an expected
http success code
:raises NotFound: If a 404 response code is received
:raises NotImplemented: If a 501 response code is received
:raises OverLimit: If a 413 response code is received and over_limit is
not in the response body
:raises RateLimitExceeded: If a 413 response code is received and
over_limit is in the response body
:raises ServerFault: If a 500 response code is received
:raises Unauthorized: If a 401 response code is received
:raises UnexpectedContentType: If the content-type of the response
isn't an expect type
:raises UnexpectedResponseCode: If a response code above 400 is
received and it doesn't fall into any
of the handled checks
:raises UnprocessableEntity: If a 422 response code is received and
couldn't be parsed
:returns: A listener object.
"""
kwargs = {arg: value for arg, value in locals().items()
if arg != 'self' and value is not Unset}
kwargs['obj_id'] = kwargs.pop('listener_id')
return self._update_object(**kwargs)
def delete_listener(self, listener_id, ignore_errors=False):
"""Delete a listener.
:param listener_id: The listener ID to delete.
:param ignore_errors: True if errors should be ignored.
:raises AssertionError: if the expected_code isn't a valid http success
response code
:raises BadRequest: If a 400 response code is received
:raises Conflict: If a 409 response code is received
:raises Forbidden: If a 403 response code is received
:raises Gone: If a 410 response code is received
:raises InvalidContentType: If a 415 response code is received
:raises InvalidHTTPResponseBody: The response body wasn't valid JSON
:raises InvalidHttpSuccessCode: if the read code isn't an expected
http success code
:raises NotFound: If a 404 response code is received
:raises NotImplemented: If a 501 response code is received
:raises OverLimit: If a 413 response code is received and over_limit is
not in the response body
:raises RateLimitExceeded: If a 413 response code is received and
over_limit is in the response body
:raises ServerFault: If a 500 response code is received
:raises Unauthorized: If a 401 response code is received
:raises UnexpectedContentType: If the content-type of the response
isn't an expect type
:raises UnexpectedResponseCode: If a response code above 400 is
received and it doesn't fall into any
of the handled checks
:raises UnprocessableEntity: If a 422 response code is received and
couldn't be parsed
:returns: None if ignore_errors is True, the response status code
if not.
"""
return self._delete_obj(obj_id=listener_id,
ignore_errors=ignore_errors)
def get_listener_stats(self, listener_id, query_params=None,
return_object_only=True):
"""Get listener statistics.
:param listener_id: The listener ID to query.
:param query_params: The optional query parameters to append to the
request. Ex. fields=id&fields=name
:param return_object_only: If True, the response returns the object
inside the root tag. False returns the full
response from the API.
:raises AssertionError: if the expected_code isn't a valid http success
response code
:raises BadRequest: If a 400 response code is received
:raises Conflict: If a 409 response code is received
:raises Forbidden: If a 403 response code is received
:raises Gone: If a 410 response code is received
:raises InvalidContentType: If a 415 response code is received
:raises InvalidHTTPResponseBody: The response body wasn't valid JSON
:raises InvalidHttpSuccessCode: if the read code isn't an expected
http success code
:raises NotFound: If a 404 response code is received
:raises NotImplemented: If a 501 response code is received
:raises OverLimit: If a 413 response code is received and over_limit is
not in the response body
:raises RateLimitExceeded: If a 413 response code is received and
over_limit is in the response body
:raises ServerFault: If a 500 response code is received
:raises Unauthorized: If a 401 response code is received
:raises UnexpectedContentType: If the content-type of the response
isn't an expect type
:raises UnexpectedResponseCode: If a response code above 400 is
received and it doesn't fall into any
of the handled checks
:raises UnprocessableEntity: If a 422 response code is received and
couldn't be parsed
:returns: A listener statistics object.
"""
if query_params:
request_uri = '{0}/{1}/stats?{2}'.format(self.uri, listener_id,
query_params)
else:
request_uri = '{0}/{1}/stats'.format(self.uri, listener_id)
response, body = self.get(request_uri)
self.expected_success(200, response.status)
if return_object_only:
return jsonutils.loads(body.decode('utf-8'))['stats']
else:
return jsonutils.loads(body.decode('utf-8'))
| 58.836898
| 79
| 0.578278
| 2,470
| 22,005
| 5.057895
| 0.109717
| 0.080685
| 0.080685
| 0.126791
| 0.883615
| 0.872809
| 0.872809
| 0.867366
| 0.864324
| 0.858081
| 0
| 0.019606
| 0.385776
| 22,005
| 373
| 80
| 58.994638
| 0.904706
| 0.739468
| 0
| 0.42623
| 0
| 0
| 0.024808
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.098361
| false
| 0
| 0.04918
| 0
| 0.311475
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
1cf352409236639cbafbd2ba47ff641f1c9803a8
| 44
|
py
|
Python
|
src/experiment.py
|
windar427/find_alpha
|
dbca4e677c6cdc144f20f6259c07291b5d3e6eed
|
[
"MIT"
] | null | null | null |
src/experiment.py
|
windar427/find_alpha
|
dbca4e677c6cdc144f20f6259c07291b5d3e6eed
|
[
"MIT"
] | null | null | null |
src/experiment.py
|
windar427/find_alpha
|
dbca4e677c6cdc144f20f6259c07291b5d3e6eed
|
[
"MIT"
] | null | null | null |
from .lib.DownloadData import DownloadData
| 14.666667
| 42
| 0.840909
| 5
| 44
| 7.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113636
| 44
| 2
| 43
| 22
| 0.948718
| 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
| 1
| 0
|
0
| 6
|
e808484d2e1b639627bded840c79fb6fdbdc05fc
| 7,200
|
py
|
Python
|
tests/test_past_failures.py
|
justinbois/eqtk
|
7363b8c09e35088d2cb2cb5a62d315b52cce0d9b
|
[
"MIT"
] | 2
|
2020-05-17T05:34:40.000Z
|
2020-05-17T12:40:14.000Z
|
tests/test_past_failures.py
|
justinbois/eqtk
|
7363b8c09e35088d2cb2cb5a62d315b52cce0d9b
|
[
"MIT"
] | 1
|
2021-12-07T01:20:48.000Z
|
2021-12-07T01:20:48.000Z
|
tests/test_past_failures.py
|
justinbois/eqtk
|
7363b8c09e35088d2cb2cb5a62d315b52cce0d9b
|
[
"MIT"
] | null | null | null |
import pytest
import numpy as np
import eqtk
def test_promiscuous_binding_failure():
A = np.array(
[
[
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
1.0,
0.0,
0.0,
1.0,
1.0,
1.0,
1.0,
0.0,
0.0,
0.0,
0.0,
],
[
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
1.0,
0.0,
0.0,
0.0,
0.0,
1.0,
1.0,
1.0,
1.0,
],
[
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
1.0,
0.0,
1.0,
0.0,
1.0,
0.0,
],
[
0.0,
0.0,
0.0,
1.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
1.0,
0.0,
1.0,
0.0,
1.0,
],
[
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
1.0,
0.0,
1.0,
0.0,
1.0,
1.0,
0.0,
0.0,
1.0,
1.0,
0.0,
0.0,
],
[
0.0,
0.0,
0.0,
0.0,
0.0,
1.0,
0.0,
1.0,
0.0,
1.0,
0.0,
0.0,
1.0,
1.0,
0.0,
0.0,
1.0,
1.0,
],
]
)
G = np.array(
[
-0.51720535,
-0.69471304,
-1.78260496,
-1.32337777,
-0.63267947,
-0.57923893,
-0.78718634,
-0.27521037,
-0.13733511,
-0.69433251,
1.6858364,
-0.43683479,
0.39312096,
-0.0625205,
0.23139303,
0.07680628,
-0.52774543,
1.74592678,
]
)
x0 = np.array(
[
[
2.48257788e01,
1.72132293e-01,
1.14833731e-02,
5.00547317e-02,
1.38949549e-01,
1.93069773e01,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
0.00000000e00,
]
]
)
def test_spontaneous_production_failure():
N = np.array(
[[1, 0, 1, 0, -1, 0], [1, 0, 0, 1, 0, -1], [1, 1, 1, 0, 0, 0]], dtype=float
)
A = np.array(
[[0, 0, 0, 1, 0, 1], [1, 0, -1, 0, 0, 1], [0, -1, 1, 0, 1, 0]], dtype=float
)
G = np.array([0, 1, 2, 3, 4, 5])
K = np.exp(-np.dot(N, G))
for x0_val in [
[1, 1, 1, 1, 1, 1],
[0, 0, 0, 1, 0, 0],
[1, 1, 1, 1, 0, 0],
[0, 0, 0, 0, 0, 0],
]:
x0 = np.array(x0_val, dtype=float)
x_NK = eqtk.solve(c0=x0, N=N, K=K)
with pytest.raises(ValueError) as excinfo:
x_AG = eqtk.solve(c0=x0, A=A, G=G)
excinfo.match("`A` must have all nonnegative entries.")
assert eqtk.eqcheck(x_NK, x0, N=N, K=K)
def test_scale_factor_failure():
A = np.array([[1.0, 0.0, 2.0, 1.0, 0.0], [0.0, 1.0, 0.0, 1.0, 2.0]])
G = np.array([0.0, 0.0, 0.77428976, -5.64873697, -0.95863043])
x0 = np.array(
[
[
5.50293892e-05,
6.49273515e-08,
2.75796219e-05,
1.29854703e-07,
3.24636758e-08,
]
]
)
x = eqtk.solve(c0=x0, A=A, G=G)
assert eqtk.eqcheck(x, x0, A=A, G=G)
def test_trivial_elemental_failure():
A = np.array([[1.0, 0.0], [0.0, 1.0]])
G = np.array([0.0, 0.0])
x0 = np.array([[3.48219906e-06, 1.32719868e-10]])
assert np.allclose(eqtk.solve(c0=x0, A=A, G=G), x0)
A = np.array([[1.0, 0.0], [0.0, 1.0]])
G = np.array([0.0, 0.0])
x0 = np.array([[2.24222410e-08, 1.63359284e-04]])
assert np.allclose(eqtk.solve(c0=x0, A=A, G=G), x0)
A = np.array([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]])
G = np.array([0.0, 0.0, 0.0])
x0 = np.array([[2.63761955e-04, 4.93360042e-07, 4.88340687e-07]])
assert np.allclose(eqtk.solve(c0=x0, A=A, G=G), x0)
def test_past_failure_1():
A = np.array([[1.0, 0.0, 2.0, 1.0, 0.0], [0.0, 1.0, 0.0, 1.0, 2.0]])
G = np.array([0.0, 0.0, -16.76857677, -2.38430181, 1.22028775])
x0 = np.array(
[
[
1.65989040e-10,
1.07630096e-04,
1.65989040e-10,
1.65989040e-10,
5.38150479e-05,
]
]
)
x = eqtk.solve(x0, A=A, G=G)
assert eqtk.eqcheck(x, x0, A=A, G=G)
def test_past_failure_2():
N = np.array([[-2.0, 1.0, 0.0, 0.0], [-3.0, 0.0, 1.0, 0.0], [-4.0, 0.0, 0.0, 1.0]])
minus_log_K = np.array([-43.66660344, -68.14676841, -92.28023823])
x0 = np.array([[1.87852623e-06, 3.75705246e-06, 1.25235082e-06, 4.69631557e-07]])
K = np.exp(-minus_log_K)
x = eqtk.solve(x0, N, K)
assert eqtk.eqcheck(x, x0, N, K)
def test_small_conc_failure():
A = np.array(
[
[1.0, 0.0, 1.0, 1.0, 0.0],
[1.0, 1.0, 0.0, 0.0, 2.0],
[1.0, 0.0, 0.0, 1.0, 2.0],
]
)
G = np.array(
[
-1.1323012373599138e02,
-2.7028447814426110e-01,
-2.3382656193096754e01,
-1.0088531260804201e02,
-5.7676558386243052e01,
]
)
x0 = np.array(
[
[
1.8134373707286439e-08,
3.5913242229740680e-14,
3.5913242229740680e-14,
3.5913242229740680e-14,
1.7956621114870340e-14,
]
]
)
x = eqtk.solve(c0=x0, A=A, G=G)
assert eqtk.eqcheck(x, x0, A=A, G=G)
| 24
| 87
| 0.321806
| 915
| 7,200
| 2.499454
| 0.146448
| 0.204635
| 0.234805
| 0.222125
| 0.479668
| 0.46174
| 0.435068
| 0.421076
| 0.395715
| 0.36948
| 0
| 0.394495
| 0.530694
| 7,200
| 299
| 88
| 24.080268
| 0.282332
| 0
| 0
| 0.559567
| 0
| 0
| 0.005278
| 0
| 0
| 0
| 0
| 0
| 0.028881
| 1
| 0.025271
| false
| 0
| 0.01083
| 0
| 0.036101
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
e81c315cccb3d9ee19bee096605d603f1e698137
| 282
|
py
|
Python
|
{{cookiecutter.project_hyphen}}/{{cookiecutter.project_slug}}/__init__.py
|
zhangxianbing/cookiecutter-pypackage
|
28f7f305d3baf96771881c3359227bed1bc7d182
|
[
"BSD-3-Clause"
] | 1
|
2021-05-20T06:20:13.000Z
|
2021-05-20T06:20:13.000Z
|
{{cookiecutter.project_hyphen}}/{{cookiecutter.project_slug}}/__init__.py
|
zhangxianbing/cookiecutter-pypackage
|
28f7f305d3baf96771881c3359227bed1bc7d182
|
[
"BSD-3-Clause"
] | null | null | null |
{{cookiecutter.project_hyphen}}/{{cookiecutter.project_slug}}/__init__.py
|
zhangxianbing/cookiecutter-pypackage
|
28f7f305d3baf96771881c3359227bed1bc7d182
|
[
"BSD-3-Clause"
] | null | null | null |
"""{{ cookiecutter.project_name }} - {{ cookiecutter.project_short_description }}"""
__version__ = "{{ cookiecutter.project_version }}"
__author__ = """{{ cookiecutter.author_name }}"""
__email__ = "{{ cookiecutter.author_email }}"
prog_name = "{{ cookiecutter.project_hyphen }}"
| 35.25
| 84
| 0.70922
| 24
| 282
| 7.5
| 0.416667
| 0.422222
| 0.255556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102837
| 282
| 7
| 85
| 40.285714
| 0.711462
| 0.276596
| 0
| 0
| 0
| 0
| 0.646465
| 0.525253
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
1c01520b2864cd9a92e81b37cca59f5c41b908e7
| 44
|
py
|
Python
|
__init__.py
|
minjunli/jsonc
|
a61b72e92729f9177d8d8685deae744244d6be16
|
[
"MIT"
] | 2
|
2020-08-30T08:02:10.000Z
|
2020-09-06T05:33:55.000Z
|
__init__.py
|
minjunli/jsonc
|
a61b72e92729f9177d8d8685deae744244d6be16
|
[
"MIT"
] | null | null | null |
__init__.py
|
minjunli/jsonc
|
a61b72e92729f9177d8d8685deae744244d6be16
|
[
"MIT"
] | null | null | null |
from .jsonc import load, loads, dump, dumps
| 22
| 43
| 0.75
| 7
| 44
| 4.714286
| 1
| 0
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| 0
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| 0
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| 0
| 0
| 0
| 0.159091
| 44
| 1
| 44
| 44
| 0.891892
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| 0
| 0
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| 0
| true
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| 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
1c1159a0a2497e7a180327354c47351ca070d2d1
| 176
|
py
|
Python
|
Game_Mechanics.py
|
Finnder/Console-Based-Story-Game
|
fe5341faf82783880872560d43d286e917f5e3d7
|
[
"Apache-2.0"
] | null | null | null |
Game_Mechanics.py
|
Finnder/Console-Based-Story-Game
|
fe5341faf82783880872560d43d286e917f5e3d7
|
[
"Apache-2.0"
] | null | null | null |
Game_Mechanics.py
|
Finnder/Console-Based-Story-Game
|
fe5341faf82783880872560d43d286e917f5e3d7
|
[
"Apache-2.0"
] | null | null | null |
def attack():
pass
def defend():
pass
def pass_turn():
pass
def use_ability_One(kit):
pass
def use_ability_Two(kit):
pass
def end_Of_Battle():
pass
| 10.352941
| 25
| 0.636364
| 27
| 176
| 3.888889
| 0.481481
| 0.333333
| 0.190476
| 0.32381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.261364
| 176
| 17
| 26
| 10.352941
| 0.807692
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.583333
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 6
|
1c66f42291c5ccace3a10ed12cc3202e55caf594
| 47,394
|
py
|
Python
|
cogs/errors.py
|
i1470s/IVRY
|
922908b19b57881ad6fef2b45fabe6bc1ff7a298
|
[
"MIT"
] | 3
|
2020-10-03T20:53:39.000Z
|
2020-10-11T07:58:57.000Z
|
cogs/errors.py
|
i1470s/IVRY
|
922908b19b57881ad6fef2b45fabe6bc1ff7a298
|
[
"MIT"
] | 3
|
2020-10-11T22:23:30.000Z
|
2020-10-14T16:54:37.000Z
|
cogs/errors.py
|
i1470s/IVRY
|
922908b19b57881ad6fef2b45fabe6bc1ff7a298
|
[
"MIT"
] | null | null | null |
#PRIMARY IMPORTS
import discord, os, datetime, sys, json, traceback, logging
#SECONDARY IMPORTS
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from discord.ext import commands
from data import config
#LOGGING
logger = logging.getLogger("ivry")
logger.debug("errors.py Started")
class Errors(commands.Cog):
def __init__(self, client):
self.client = client
#ERROR MESSAGES
@commands.Cog.listener()
async def on_command_error(self, ctx, error):
if hasattr(ctx.command, 'on_error'):
return
cog = ctx.cog
if cog:
if cog._get_overridden_method(cog.cog_command_error) is not None:
return
ignored = (commands.CommandNotFound)
error = getattr(error, 'original', error)
if isinstance(error, ignored):
return
#COMMAND ERROR
elif isinstance(error, commands.CommandError):
embed = discord.Embed(title=f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Command Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#CONVERSION ERROR
elif isinstance(error, commands.ConversionError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Conversion Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Conversion Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#USER INPUT ERROR
elif isinstance(error, commands.UserInputError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal User Input Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal User Input Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#MISSING REQUIRED ARGUMENT
elif isinstance(error, commands.MissingRequiredArgument):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Conversion Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Conversion Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#TOO MANY ARGUMENTS
elif isinstance(error, commands.TooManyArguments):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Conversion Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Conversion Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#BAD ARGUMENT
elif isinstance(error, commands.BadArgument):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Bad Argument Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Bad Argument Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#MESSAGE NOT FOUND
elif isinstance(error, commands.MessageNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Message Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Message Not Found Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#MEMBER NOT FOUND
elif isinstance(error, commands.MemberNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Member Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Bad Member Not Found occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#USER NOT FOUND
elif isinstance(error, commands.UserNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal User Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal User Not Found Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#CHANNEL NOT FOUND
elif isinstance(error, commands.ChannelNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Channel Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Channel Not Found Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#CHANNEL NOT READABLE
elif isinstance(error, commands.ChannelNotReadable):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Channel Not Readable Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Channel Not Readable Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#BAD COLOR ARGUMENT
elif isinstance(error, commands.BadColourArgument):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Bad Colour Argument Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Bad Colour Argument Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#ROLE NOT FOUND
elif isinstance(error, commands.RoleNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Role Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Role Not Found Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#BAD INVITE ARGUMENT
elif isinstance(error, commands.BadInviteArgument):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Conversion Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Conversion Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#EMOJI NOT FOUND
elif isinstance(error, commands.EmojiNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Emoji Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Emoji Not Found Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#PARTIAL EMOJI CONVERSION FAILURE
elif isinstance(error, commands.PartialEmojiConversionFailure):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Partial Emoji Conversion Failure Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Partial Emoji Conversion Failure Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#BAD BOOL ARGUMENT
elif isinstance(error, commands.BadBoolArgument):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Bad Bool Argument Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Bad Bool Argument Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#BAD UNION ARGUMENT
elif isinstance(error, commands.BadUnionArgument):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Bad Union Argument Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Bad Union Argument Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#ARGUMENT PARSING ERROR
elif isinstance(error, commands.ArgumentParsingError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Argument Parsing Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Argument Parsing Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#UNEXPECTED QUOTE ERROR
elif isinstance(error, commands.UnexpectedQuoteError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Unexpected Quote Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Unexpected Quote Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#INVALID END OF QUOTED STRING
elif isinstance(error, commands.InvalidEndOfQuotedStringError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Invalid End Of Quoted String Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Invalid End Of Quoted String Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#EXPECTED CLOSING QUOTE ERROR
elif isinstance(error, commands.ExpectedClosingQuoteError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Expected Closing Quote Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Expected Closing Quote Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#COMMAND NOT FOUND
elif isinstance(error, commands.CommandNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Command Not Found Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#CHECK FAILURE
elif isinstance(error, commands.CheckFailure):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Check Failure Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Check Failure Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#CHECK ANY FAILURE
elif isinstance(error, commands.CheckAnyFailure):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Check Any Failure Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Check Any Failure Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#PRIVATE MESSAGE ONLY
elif isinstance(error, commands.PrivateMessageOnly):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Private Message Only Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Private Message Only Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#NO PRIVATE MESSAGE
elif isinstance(error, commands.NoPrivateMessage):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal No Private Message Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal No Private Message Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#NOT OWNER
elif isinstance(error, commands.NotOwner):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Not Owner Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Not Owner Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#MISSING PERMISSIONS
elif isinstance(error, commands.MissingPermissions):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Missing Permissions Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Missing Permissions Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#MISSING ROLE
elif isinstance(error, commands.MissingRole):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Missing Role Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Missing Role Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#BOT MISSING ROLE
elif isinstance(error, commands.BotMissingRole):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Bot Missing Role Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Bot Missing Role Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#MISSING ANY ROLE
elif isinstance(error, commands.MissingAnyRole):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Missing Any Role Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Missing Any Role Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#BOT MISSING ANY ROLE
elif isinstance(error, commands.BotMissingAnyRole):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Bot Missing Any Role Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Bot Missing Any Role Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#NSFW CHANNEL REQUIRED
elif isinstance(error, commands.NSFWChannelRequired):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal NSFW Channel Required Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal NSFW Channel Required Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#DISABLED COMMAND
elif isinstance(error, commands.DisabledCommand):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Disabled Command Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Disabled Command Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#COMMAND INVOKE ERROR
elif isinstance(error, commands.CommandInvokeError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Invoke Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Command Invoke Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#COMMAND ON COOLDOWN
elif isinstance(error, commands.CommandOnCooldown):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command On Cooldown Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Command On Cooldown Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#MAX CONCURRENCY REACHED
elif isinstance(error, commands.MaxConcurrencyReached):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Max Concurrency Reached Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Max Concurrency Reached Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#EXTENSION ERROR
elif isinstance(error, commands.ExtensionError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal EXT Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Extension Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#EXTENSION ALREADY LOADED
elif isinstance(error, commands.ExtensionAlreadyLoaded):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal EXT Already Loaded Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Extension Already Loaded Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#EXTENSION NOT LOADED
elif isinstance(error, commands.ExtensionNotLoaded):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal EXT Not Loaded Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Extension Not Loaded Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#NO ENTRY POINT ERROR
elif isinstance(error, commands.NoEntryPointError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal No Entry Point Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal No Entrypoint Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#EXTENSION FAILED
elif isinstance(error, commands.ExtensionFailed):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal EXT Failed Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Extension Failed Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#EXTENSION NOT FOUND
elif isinstance(error, commands.ExtensionNotFound):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal EXT Not Found Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Extension Not Found Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
#CLIENT EXCEPTION
#COMMAND REGISTRATION ERROR
elif isinstance(error, commands.CommandRegistrationError):
embed = discord.Embed(title = f"Type = `Fatal`",color=0x9B59B6, timestamp=ctx.message.created_at)
embed.set_author(name="IVRY Error", icon_url=self.client.user.avatar_url)
embed.add_field(name = "Error", value="`Internal Command Registration Error`", inline=True)
embed.add_field(name = "Error Point", value=f"`{ctx.command}`", inline=True)
embed.add_field(name = "Trace Back", value=f"```CSS\n{error}```", inline=False)
embed.set_footer(text=f"{config.version} | {config.shards}")
await ctx.send(embed=embed)
print(f'[WARNING] A Fatal internal Command Registration Error occured in execution of {ctx.command}')
logger.debug(f"[ERROR] {ctx.command} | {error}")
else:
print('Ignoring exception in command {}:'.format(ctx.command), file=sys.stderr)
traceback.print_exception(type(error), error, error.__traceback__, file=sys.stderr)
def setup(client):
client.add_cog(Errors(client))
| 65.551867
| 138
| 0.531502
| 5,041
| 47,394
| 4.922039
| 0.039873
| 0.055215
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| 0.905288
| 0.867564
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| 0.844591
| 0.844591
| 0.844591
| 0
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| 0.348441
| 47,394
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| 139
| 65.551867
| 0.796211
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| 0
| 0.684874
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| 1
| 0.004202
| false
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| null | 0
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| 1
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| 1
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| 0
| 0
|
0
| 6
|
1c75ba48ae7018192a5f6740f29aabe6961aa8fd
| 103
|
py
|
Python
|
tests/utils.py
|
niwibe/cobrascript
|
4c6a193d8745771e5fb0e277394f83e47cc7ede8
|
[
"BSD-3-Clause"
] | 1
|
2015-05-03T00:25:17.000Z
|
2015-05-03T00:25:17.000Z
|
tests/utils.py
|
niwibe/cobrascript
|
4c6a193d8745771e5fb0e277394f83e47cc7ede8
|
[
"BSD-3-Clause"
] | null | null | null |
tests/utils.py
|
niwibe/cobrascript
|
4c6a193d8745771e5fb0e277394f83e47cc7ede8
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
from cobra.utils import normalize
def norm(data):
return normalize(data)
| 14.714286
| 33
| 0.669903
| 14
| 103
| 4.928571
| 0.857143
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| 103
| 6
| 34
| 17.166667
| 0.809524
| 0.203884
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| 0.333333
| false
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| 0
|
0
| 6
|
1c7e58a1470bb1ce0a1146ec377bf0292d1e20e6
| 4,657
|
py
|
Python
|
saleor/graphql/channel/tests/test_base_channel_listing.py
|
fairhopeweb/saleor
|
9ac6c22652d46ba65a5b894da5f1ba5bec48c019
|
[
"CC-BY-4.0"
] | 15,337
|
2015-01-12T02:11:52.000Z
|
2021-10-05T19:19:29.000Z
|
saleor/graphql/channel/tests/test_base_channel_listing.py
|
fairhopeweb/saleor
|
9ac6c22652d46ba65a5b894da5f1ba5bec48c019
|
[
"CC-BY-4.0"
] | 7,486
|
2015-02-11T10:52:13.000Z
|
2021-10-06T09:37:15.000Z
|
saleor/graphql/channel/tests/test_base_channel_listing.py
|
aminziadna/saleor
|
2e78fb5bcf8b83a6278af02551a104cfa555a1fb
|
[
"CC-BY-4.0"
] | 5,864
|
2015-01-16T14:52:54.000Z
|
2021-10-05T23:01:15.000Z
|
from collections import defaultdict
import graphene
import pytest
from django.core.exceptions import ValidationError
from ....shipping.error_codes import ShippingErrorCode
from ..mutations import BaseChannelListingMutation
def test_validate_duplicated_channel_ids(channel_PLN, channel_USD):
# given
channel_id = graphene.Node.to_global_id("Channel", channel_USD.id)
second_channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
errors = defaultdict(list)
# when
result = BaseChannelListingMutation.validate_duplicated_channel_ids(
[channel_id],
[second_channel_id],
errors,
ShippingErrorCode.DUPLICATED_INPUT_ITEM.value,
)
# then
assert result is None
assert errors["input"] == []
def test_validate_duplicated_channel_ids_with_duplicates(channel_PLN):
# given
channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
second_channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
error_code = ShippingErrorCode.DUPLICATED_INPUT_ITEM.value
errors = defaultdict(list)
# when
result = BaseChannelListingMutation.validate_duplicated_channel_ids(
[channel_id], [second_channel_id], errors, error_code
)
# then
assert result is None
assert errors["input"][0].code == error_code
def test_validate_duplicated_channel_values(channel_PLN, channel_USD):
# given
channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
second_channel_id = graphene.Node.to_global_id("Channel", channel_USD.id)
error_code = ShippingErrorCode.DUPLICATED_INPUT_ITEM.value
errors = defaultdict(list)
field = "add_channels"
# when
result = BaseChannelListingMutation.validate_duplicated_channel_values(
[channel_id, second_channel_id], field, errors, error_code
)
# then
assert result is None
assert errors[field] == []
def test_validate_duplicated_channel_values_with_duplicates(channel_PLN):
# given
channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
second_channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
error_code = ShippingErrorCode.DUPLICATED_INPUT_ITEM.value
errors = defaultdict(list)
field = "add_channels"
# when
result = BaseChannelListingMutation.validate_duplicated_channel_values(
[channel_id, second_channel_id], field, errors, error_code
)
# then
assert result is None
assert errors[field][0].code == error_code
def test_clean_channels_add_channels(channel_PLN):
# given
channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
error_code = ShippingErrorCode.DUPLICATED_INPUT_ITEM.value
errors = defaultdict(list)
# when
result = BaseChannelListingMutation.clean_channels(
None, {"add_channels": [{"channel_id": channel_id}]}, errors, error_code
)
# then
assert result == {
"add_channels": [{"channel_id": channel_id, "channel": channel_PLN}],
"remove_channels": [],
}
assert errors["input"] == []
def test_clean_channels_remove_channels(channel_PLN):
# given
channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
error_code = ShippingErrorCode.DUPLICATED_INPUT_ITEM.value
errors = defaultdict(list)
# when
result = BaseChannelListingMutation.clean_channels(
None, {"remove_channels": [channel_id]}, errors, error_code
)
# then
assert result == {"add_channels": [], "remove_channels": [str(channel_PLN.id)]}
assert errors["input"] == []
def test_test_clean_channels_with_errors(channel_PLN):
# given
channel_id = graphene.Node.to_global_id("Channel", channel_PLN.id)
error_code = ShippingErrorCode.DUPLICATED_INPUT_ITEM.value
errors = defaultdict(list)
# when
result = BaseChannelListingMutation.clean_channels(
None, {"remove_channels": [channel_id, channel_id]}, errors, error_code
)
# then
assert result == {}
assert errors["remove_channels"][0].code == error_code
def test_test_clean_channels_invalid_object_type(channel_PLN):
# given
channel_id = graphene.Node.to_global_id("Product", channel_PLN.id)
error_code = ShippingErrorCode.GRAPHQL_ERROR.value
errors = defaultdict(list)
# when
with pytest.raises(ValidationError) as error:
BaseChannelListingMutation.clean_channels(
None, {"remove_channels": [channel_id]}, errors, error_code
)
# then
assert (
error.value.error_dict["remove_channels"][0].message
== f"Must receive Channel id: {channel_id}."
)
| 30.84106
| 83
| 0.721065
| 546
| 4,657
| 5.809524
| 0.117216
| 0.08512
| 0.064313
| 0.079445
| 0.852144
| 0.803909
| 0.721627
| 0.721627
| 0.707755
| 0.707755
| 0
| 0.001051
| 0.182521
| 4,657
| 150
| 84
| 31.046667
| 0.832151
| 0.027271
| 0
| 0.467391
| 0
| 0
| 0.07414
| 0
| 0
| 0
| 0
| 0
| 0.163043
| 1
| 0.086957
| false
| 0
| 0.065217
| 0
| 0.152174
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
98ee487f9a2345f91b85bcae94f9855580455dc1
| 478
|
py
|
Python
|
asystem-adoc/src/main/template/python/script_util.py
|
ggear/asystem_archive
|
b97f67218e8aa60991fba386c9e73d27d20d6c47
|
[
"Apache-2.0"
] | null | null | null |
asystem-adoc/src/main/template/python/script_util.py
|
ggear/asystem_archive
|
b97f67218e8aa60991fba386c9e73d27d20d6c47
|
[
"Apache-2.0"
] | 2
|
2021-03-25T21:27:09.000Z
|
2022-02-11T03:38:48.000Z
|
asystem-adoc/src/main/template/python/script_util.py
|
ggear/asystem_archive
|
b97f67218e8aa60991fba386c9e73d27d20d6c47
|
[
"Apache-2.0"
] | null | null | null |
###############################################################################
#
# Python script utilities as included from the cloudera-framework-assembly,
# do not edit directly
#
###############################################################################
import os
import re
def qualify(path):
return path if (re.match(r'[.]*://[.]*', path)
or 'CF_HADOOP_DEFAULT_FS' not in os.environ) \
else os.environ['CF_HADOOP_DEFAULT_FS'] + path
| 29.875
| 79
| 0.433054
| 45
| 478
| 4.466667
| 0.711111
| 0.079602
| 0.149254
| 0.169154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154812
| 478
| 15
| 80
| 31.866667
| 0.497525
| 0.196653
| 0
| 0
| 1
| 0
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
c721ab40af9f4d2f1e869b104c622361e1311025
| 878
|
py
|
Python
|
test/test_watchdog_status.py
|
ike709/tgs4-api-pyclient
|
97918cfe614cc4ef06ef2485efff163417a8cd44
|
[
"MIT"
] | null | null | null |
test/test_watchdog_status.py
|
ike709/tgs4-api-pyclient
|
97918cfe614cc4ef06ef2485efff163417a8cd44
|
[
"MIT"
] | null | null | null |
test/test_watchdog_status.py
|
ike709/tgs4-api-pyclient
|
97918cfe614cc4ef06ef2485efff163417a8cd44
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
TGS API
A production scale tool for BYOND server management # noqa: E501
OpenAPI spec version: 9.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.models.watchdog_status import WatchdogStatus # noqa: E501
from swagger_client.rest import ApiException
class TestWatchdogStatus(unittest.TestCase):
"""WatchdogStatus unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testWatchdogStatus(self):
"""Test WatchdogStatus"""
# FIXME: construct object with mandatory attributes with example values
# model = swagger_client.models.watchdog_status.WatchdogStatus() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| 21.95
| 86
| 0.702733
| 102
| 878
| 5.862745
| 0.617647
| 0.086957
| 0.056856
| 0.090301
| 0.110368
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018841
| 0.214123
| 878
| 39
| 87
| 22.512821
| 0.847826
| 0.446469
| 0
| 0.214286
| 1
| 0
| 0.018018
| 0
| 0
| 0
| 0
| 0.025641
| 0
| 1
| 0.214286
| false
| 0.214286
| 0.357143
| 0
| 0.642857
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
c7345842917a4fbe78846b66040cbcd50b2fa112
| 45
|
py
|
Python
|
main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py
|
jason424217/Artificial-Code-Gen
|
a6e2c097c5ffe8cb0929e6703035b526f477e514
|
[
"MIT"
] | null | null | null |
main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py
|
jason424217/Artificial-Code-Gen
|
a6e2c097c5ffe8cb0929e6703035b526f477e514
|
[
"MIT"
] | null | null | null |
main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py
|
jason424217/Artificial-Code-Gen
|
a6e2c097c5ffe8cb0929e6703035b526f477e514
|
[
"MIT"
] | null | null | null |
print a
if b:
if c:
d
e
| 6.428571
| 9
| 0.311111
| 8
| 45
| 1.75
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.644444
| 45
| 6
| 10
| 7.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.2
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 6
|
c7465ff1ea985cda2b457c6697cd774f312adad2
| 40
|
py
|
Python
|
Python/swap_numbers.py
|
saurabhcommand/Hello-world
|
647bad9da901a52d455f05ecc37c6823c22dc77e
|
[
"MIT"
] | 1,428
|
2018-10-03T15:15:17.000Z
|
2019-03-31T18:38:36.000Z
|
Python/swap_numbers.py
|
saurabhcommand/Hello-world
|
647bad9da901a52d455f05ecc37c6823c22dc77e
|
[
"MIT"
] | 1,162
|
2018-10-03T15:05:49.000Z
|
2018-10-18T14:17:52.000Z
|
Python/swap_numbers.py
|
saurabhcommand/Hello-world
|
647bad9da901a52d455f05ecc37c6823c22dc77e
|
[
"MIT"
] | 3,909
|
2018-10-03T15:07:19.000Z
|
2019-03-31T18:39:08.000Z
|
a = 5
b = 7
a,b = b,a
print a
print b
| 5
| 9
| 0.5
| 12
| 40
| 1.666667
| 0.416667
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 0.375
| 40
| 7
| 10
| 5.714286
| 0.72
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.4
| 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
|
0
| 6
|
c782edc67d9a2546d01dc48945d663005d17b20d
| 10,490
|
py
|
Python
|
evogym/envs/change_shape.py
|
federico-camerota/evogym
|
fb3a792f93a61be15c9715a036da3721f99d2d42
|
[
"MIT"
] | 78
|
2022-01-30T18:59:39.000Z
|
2022-03-31T00:26:41.000Z
|
evogym/envs/change_shape.py
|
Yuxing-Wang-THU/evogym
|
da3a0508fa6c5d3fcf589194778844b15a387ece
|
[
"MIT"
] | 6
|
2022-01-31T02:37:49.000Z
|
2022-03-30T18:52:13.000Z
|
evogym/envs/change_shape.py
|
Yuxing-Wang-THU/evogym
|
da3a0508fa6c5d3fcf589194778844b15a387ece
|
[
"MIT"
] | 6
|
2022-01-31T08:11:33.000Z
|
2022-02-22T01:49:50.000Z
|
import gym
from gym import error, spaces
from gym import utils
from gym.utils import seeding
from evogym import *
from evogym.envs import BenchmarkBase
import random
from math import *
import numpy as np
import os
class ShapeBase(BenchmarkBase):
def __init__(self, world):
super().__init__(world)
def reset(self):
super().reset()
# observation
obs = np.concatenate((
self.get_relative_pos_obs("robot"),
))
return obs
### ----------------------------------------------------------------------
# This section of code is modified from the following author
# from https://github.com/RodolfoFerro/ConvexHull
# Author: Rodolfo Ferro
# Mail: [email protected]
# Script: Compute the Convex Hull of a set of points using the Graham Scan
# Function to know if we have a CCW turn
def CCW(self, p1, p2, p3):
if (p3[1]-p1[1])*(p2[0]-p1[0]) >= (p2[1]-p1[1])*(p3[0]-p1[0]):
return True
return False
# Main function:
def jarvis_march(self, S):
n = len(S)
P = [None] * n
l = np.where(S[:,0] == np.min(S[:,0]))
pointOnHull = S[l[0][0]]
i = 0
while True:
P[i] = pointOnHull
endpoint = S[0]
for j in range(1,n):
if (endpoint[0] == pointOnHull[0] and endpoint[1] == pointOnHull[1]) or not self.CCW(S[j],P[i],endpoint):
endpoint = S[j]
i = i + 1
pointOnHull = endpoint
if endpoint[0] == P[0][0] and endpoint[1] == P[0][1]:
break
for i in range(n):
if P[-1] is None:
del P[-1]
return np.array(P)
### ----------------------------------------------------------------------
def convex_poly_area(self, pts_cw):
area = 0
for i in range(len(pts_cw)):
i_1 = i + 1
if i_1 >= len(pts_cw):
i_1 = 0
area += (pts_cw[i,0] * pts_cw[i_1,1] - pts_cw[i_1,0] * pts_cw[i,1])
return 0.5 * area
class MaximizeShape(ShapeBase):
def __init__(self, body, connections=None):
# make world
self.world = EvoWorld.from_json(os.path.join(self.DATA_PATH, 'ShapeChange.json'))
self.world.add_from_array('robot', body, 7, 1, connections=connections)
# init sim
ShapeBase.__init__(self, self.world)
# set action space and observation space
num_actuators = self.get_actuator_indices('robot').size
num_robot_points = self.object_pos_at_time(self.get_time(), "robot").size
self.action_space = spaces.Box(low= 0.6, high=1.6, shape=(num_actuators,), dtype=np.float)
self.observation_space = spaces.Box(low=-100.0, high=100.0, shape=(num_robot_points,), dtype=np.float)
def step(self, action):
# collect pre step information
robot_pos_init = self.object_pos_at_time(self.get_time(), "robot")
# step
done = super().step({'robot': action})
# collect post step information
robot_pos_final = self.object_pos_at_time(self.get_time(), "robot")
# observation
obs = np.concatenate((
self.get_relative_pos_obs("robot"),
))
# compute reward
reward = self.get_reward(robot_pos_init, robot_pos_final)
# error check unstable simulation
if done:
print("SIMULATION UNSTABLE... TERMINATING")
reward -= 3.0
# observation, reward, has simulation met termination conditions, debugging info
return obs, reward, done, {}
def get_reward(self, robot_pos_init, robot_pos_final):
# find convex hull of initial state
convex_hull_init = self.jarvis_march(np.transpose(robot_pos_init))
area_init = self.convex_poly_area(convex_hull_init)
# find convex of final state
convex_hull_final = self.jarvis_march(np.transpose(robot_pos_final))
area_final = self.convex_poly_area(convex_hull_final)
reward = (area_final - area_init) * 10
return reward
class MinimizeShape(ShapeBase):
def __init__(self, body, connections=None):
# make world
self.world = EvoWorld.from_json(os.path.join(self.DATA_PATH, 'ShapeChange.json'))
self.world.add_from_array('robot', body, 7, 1, connections=connections)
# init sim
ShapeBase.__init__(self, self.world)
# set action space and observation space
num_actuators = self.get_actuator_indices('robot').size
num_robot_points = self.object_pos_at_time(self.get_time(), "robot").size
self.action_space = spaces.Box(low= 0.6, high=1.6, shape=(num_actuators,), dtype=np.float)
self.observation_space = spaces.Box(low=-100.0, high=100.0, shape=(num_robot_points,), dtype=np.float)
def step(self, action):
# collect pre step information
robot_pos_init = self.object_pos_at_time(self.get_time(), "robot")
# step
done = super().step({'robot': action})
# collect post step information
robot_pos_final = self.object_pos_at_time(self.get_time(), "robot")
# observation
obs = np.concatenate((
self.get_relative_pos_obs("robot"),
))
# compute reward
reward = self.get_reward(robot_pos_init, robot_pos_final)
# error check unstable simulation
if done:
print("SIMULATION UNSTABLE... TERMINATING")
reward -= 3.0
# observation, reward, has simulation met termination conditions, debugging info
return obs, reward, done, {}
def get_reward(self, robot_pos_init, robot_pos_final):
# find convex hull of initial state
convex_hull_init = self.jarvis_march(np.transpose(robot_pos_init))
area_init = self.convex_poly_area(convex_hull_init)
# find convex of final state
convex_hull_final = self.jarvis_march(np.transpose(robot_pos_final))
area_final = self.convex_poly_area(convex_hull_final)
reward = (area_init - area_final) * 10
return reward
class MaximizeXShape(ShapeBase):
def __init__(self, body, connections=None):
# make world
self.world = EvoWorld.from_json(os.path.join(self.DATA_PATH, 'ShapeChange.json'))
self.world.add_from_array('robot', body, 7, 1, connections=connections)
# init sim
ShapeBase.__init__(self, self.world)
# set action space and observation space
num_actuators = self.get_actuator_indices('robot').size
num_robot_points = self.object_pos_at_time(self.get_time(), "robot").size
self.action_space = spaces.Box(low= 0.6, high=1.6, shape=(num_actuators,), dtype=np.float)
self.observation_space = spaces.Box(low=-100.0, high=100.0, shape=(num_robot_points,), dtype=np.float)
def step(self, action):
# collect pre step information
robot_pos_init = self.object_pos_at_time(self.get_time(), "robot")
# step
done = super().step({'robot': action})
# collect post step information
robot_pos_final = self.object_pos_at_time(self.get_time(), "robot")
# observation
obs = np.concatenate((
self.get_relative_pos_obs("robot"),
))
# compute reward
reward = self.get_reward(robot_pos_init, robot_pos_final)
# error check unstable simulation
if done:
print("SIMULATION UNSTABLE... TERMINATING")
reward -= 3.0
# observation, reward, has simulation met termination conditions, debugging info
return obs, reward, done, {}
def get_reward(self, robot_pos_init, robot_pos_final):
robot_min_pos_init = np.min(robot_pos_init, axis=1)
robot_max_pos_init = np.max(robot_pos_init, axis=1)
robot_min_pos_final = np.min(robot_pos_final, axis=1)
robot_max_pos_final = np.max(robot_pos_final, axis=1)
span_final = (robot_max_pos_final[0] - robot_min_pos_final[0])
span_initial = (robot_max_pos_init[0] - robot_min_pos_init[0])
reward = (span_final - span_initial)
return reward
class MaximizeYShape(ShapeBase):
def __init__(self, body, connections=None):
# make world
self.world = EvoWorld.from_json(os.path.join(self.DATA_PATH, 'ShapeChange.json'))
self.world.add_from_array('robot', body, 7, 1, connections=connections)
# init sim
ShapeBase.__init__(self, self.world)
# set action space and observation space
num_actuators = self.get_actuator_indices('robot').size
num_robot_points = self.object_pos_at_time(self.get_time(), "robot").size
self.action_space = spaces.Box(low= 0.6, high=1.6, shape=(num_actuators,), dtype=np.float)
self.observation_space = spaces.Box(low=-100.0, high=100.0, shape=(num_robot_points,), dtype=np.float)
def step(self, action):
# collect pre step information
robot_pos_init = self.object_pos_at_time(self.get_time(), "robot")
# step
done = super().step({'robot': action})
# collect post step information
robot_pos_final = self.object_pos_at_time(self.get_time(), "robot")
# observation
obs = np.concatenate((
self.get_relative_pos_obs("robot"),
))
# compute reward
reward = self.get_reward(robot_pos_init, robot_pos_final)
# error check unstable simulation
if done:
print("SIMULATION UNSTABLE... TERMINATING")
reward -= 3.0
# observation, reward, has simulation met termination conditions, debugging info
return obs, reward, done, {}
def get_reward(self, robot_pos_init, robot_pos_final):
robot_min_pos_init = np.min(robot_pos_init, axis=1)
robot_max_pos_init = np.max(robot_pos_init, axis=1)
robot_min_pos_final = np.min(robot_pos_final, axis=1)
robot_max_pos_final = np.max(robot_pos_final, axis=1)
span_final = (robot_max_pos_final[1] - robot_min_pos_final[1])
span_initial = (robot_max_pos_init[1] - robot_min_pos_init[1])
reward = (span_final - span_initial)
return reward
| 33.196203
| 121
| 0.6102
| 1,371
| 10,490
| 4.416484
| 0.122538
| 0.047564
| 0.035673
| 0.029728
| 0.820479
| 0.810405
| 0.801817
| 0.789265
| 0.789265
| 0.789265
| 0
| 0.017897
| 0.270257
| 10,490
| 315
| 122
| 33.301587
| 0.773089
| 0.152526
| 0
| 0.652695
| 0
| 0
| 0.039071
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.101796
| false
| 0
| 0.05988
| 0
| 0.269461
| 0.023952
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
c7852c56539dc442622c1969bd3081ad523df76c
| 29,214
|
py
|
Python
|
pybind/slxos/v16r_1_00b/mpls_state/ldp/fec/ldp_fec_prefixes/__init__.py
|
shivharis/pybind
|
4e1c6d54b9fd722ccec25546ba2413d79ce337e6
|
[
"Apache-2.0"
] | null | null | null |
pybind/slxos/v16r_1_00b/mpls_state/ldp/fec/ldp_fec_prefixes/__init__.py
|
shivharis/pybind
|
4e1c6d54b9fd722ccec25546ba2413d79ce337e6
|
[
"Apache-2.0"
] | null | null | null |
pybind/slxos/v16r_1_00b/mpls_state/ldp/fec/ldp_fec_prefixes/__init__.py
|
shivharis/pybind
|
4e1c6d54b9fd722ccec25546ba2413d79ce337e6
|
[
"Apache-2.0"
] | 1
|
2021-11-05T22:15:42.000Z
|
2021-11-05T22:15:42.000Z
|
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from decimal import Decimal
from bitarray import bitarray
import __builtin__
import prefix
import key
class ldp_fec_prefixes(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module brocade-mpls-operational - based on the path /mpls-state/ldp/fec/ldp-fec-prefixes. Each member element of
the container is represented as a class variable - with a specific
YANG type.
YANG Description:
"""
__slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__tot_no_of_prefix_fec','__tot_no_of_prefix_fec_installed','__tot_no_of_prefix_fec_filtered','__tot_no_of_prefix_fec_lwd','__filtered','__prefix_filtered','__prefix','__key',)
_yang_name = 'ldp-fec-prefixes'
_rest_name = 'ldp-fec-prefixes'
_pybind_generated_by = 'container'
def __init__(self, *args, **kwargs):
path_helper_ = kwargs.pop("path_helper", None)
if path_helper_ is False:
self._path_helper = False
elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper):
self._path_helper = path_helper_
elif hasattr(self, "_parent"):
path_helper_ = getattr(self._parent, "_path_helper", False)
self._path_helper = path_helper_
else:
self._path_helper = False
extmethods = kwargs.pop("extmethods", None)
if extmethods is False:
self._extmethods = False
elif extmethods is not None and isinstance(extmethods, dict):
self._extmethods = extmethods
elif hasattr(self, "_parent"):
extmethods = getattr(self._parent, "_extmethods", None)
self._extmethods = extmethods
else:
self._extmethods = False
self.__prefix_filtered = YANGDynClass(base=unicode, is_leaf=True, yang_name="prefix-filtered", rest_name="prefix-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='string', is_config=False)
self.__tot_no_of_prefix_fec_installed = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-installed", rest_name="tot-no-of-prefix-fec-installed", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
self.__tot_no_of_prefix_fec = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec", rest_name="tot-no-of-prefix-fec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
self.__prefix = YANGDynClass(base=YANGListType("destination",prefix.prefix, yang_name="prefix", rest_name="prefix", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='destination', extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}), is_container='list', yang_name="prefix", rest_name="prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='list', is_config=False)
self.__tot_no_of_prefix_fec_lwd = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-lwd", rest_name="tot-no-of-prefix-fec-lwd", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
self.__key = YANGDynClass(base=key.key, is_container='container', presence=False, yang_name="key", rest_name="key", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-key-key-1'}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='container', is_config=False)
self.__filtered = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'filtered': {'value': 1}, u'filtered-in': {'value': 2}, u'filtered-out': {'value': 3}},), is_leaf=True, yang_name="filtered", rest_name="filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='fec-filter-type', is_config=False)
self.__tot_no_of_prefix_fec_filtered = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-filtered", rest_name="tot-no-of-prefix-fec-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path()+[self._yang_name]
else:
return [u'mpls-state', u'ldp', u'fec', u'ldp-fec-prefixes']
def _rest_path(self):
if hasattr(self, "_parent"):
if self._rest_name:
return self._parent._rest_path()+[self._rest_name]
else:
return self._parent._rest_path()
else:
return [u'mpls-state', u'ldp', u'fec', u'ldp-fec-prefixes']
def _get_tot_no_of_prefix_fec(self):
"""
Getter method for tot_no_of_prefix_fec, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec (uint32)
YANG Description: tot_no_of_prefix_fec
"""
return self.__tot_no_of_prefix_fec
def _set_tot_no_of_prefix_fec(self, v, load=False):
"""
Setter method for tot_no_of_prefix_fec, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_tot_no_of_prefix_fec is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_tot_no_of_prefix_fec() directly.
YANG Description: tot_no_of_prefix_fec
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec", rest_name="tot-no-of-prefix-fec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """tot_no_of_prefix_fec must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec", rest_name="tot-no-of-prefix-fec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)""",
})
self.__tot_no_of_prefix_fec = t
if hasattr(self, '_set'):
self._set()
def _unset_tot_no_of_prefix_fec(self):
self.__tot_no_of_prefix_fec = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec", rest_name="tot-no-of-prefix-fec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
def _get_tot_no_of_prefix_fec_installed(self):
"""
Getter method for tot_no_of_prefix_fec_installed, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec_installed (uint32)
YANG Description: tot_no_of_prefix_fec_installed
"""
return self.__tot_no_of_prefix_fec_installed
def _set_tot_no_of_prefix_fec_installed(self, v, load=False):
"""
Setter method for tot_no_of_prefix_fec_installed, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec_installed (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_tot_no_of_prefix_fec_installed is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_tot_no_of_prefix_fec_installed() directly.
YANG Description: tot_no_of_prefix_fec_installed
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-installed", rest_name="tot-no-of-prefix-fec-installed", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """tot_no_of_prefix_fec_installed must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-installed", rest_name="tot-no-of-prefix-fec-installed", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)""",
})
self.__tot_no_of_prefix_fec_installed = t
if hasattr(self, '_set'):
self._set()
def _unset_tot_no_of_prefix_fec_installed(self):
self.__tot_no_of_prefix_fec_installed = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-installed", rest_name="tot-no-of-prefix-fec-installed", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
def _get_tot_no_of_prefix_fec_filtered(self):
"""
Getter method for tot_no_of_prefix_fec_filtered, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec_filtered (uint32)
YANG Description: tot_no_of_prefix_fec_filtered
"""
return self.__tot_no_of_prefix_fec_filtered
def _set_tot_no_of_prefix_fec_filtered(self, v, load=False):
"""
Setter method for tot_no_of_prefix_fec_filtered, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec_filtered (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_tot_no_of_prefix_fec_filtered is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_tot_no_of_prefix_fec_filtered() directly.
YANG Description: tot_no_of_prefix_fec_filtered
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-filtered", rest_name="tot-no-of-prefix-fec-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """tot_no_of_prefix_fec_filtered must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-filtered", rest_name="tot-no-of-prefix-fec-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)""",
})
self.__tot_no_of_prefix_fec_filtered = t
if hasattr(self, '_set'):
self._set()
def _unset_tot_no_of_prefix_fec_filtered(self):
self.__tot_no_of_prefix_fec_filtered = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-filtered", rest_name="tot-no-of-prefix-fec-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
def _get_tot_no_of_prefix_fec_lwd(self):
"""
Getter method for tot_no_of_prefix_fec_lwd, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec_lwd (uint32)
YANG Description: tot_no_of_prefix_fec_lwd
"""
return self.__tot_no_of_prefix_fec_lwd
def _set_tot_no_of_prefix_fec_lwd(self, v, load=False):
"""
Setter method for tot_no_of_prefix_fec_lwd, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/tot_no_of_prefix_fec_lwd (uint32)
If this variable is read-only (config: false) in the
source YANG file, then _set_tot_no_of_prefix_fec_lwd is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_tot_no_of_prefix_fec_lwd() directly.
YANG Description: tot_no_of_prefix_fec_lwd
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-lwd", rest_name="tot-no-of-prefix-fec-lwd", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """tot_no_of_prefix_fec_lwd must be of a type compatible with uint32""",
'defined-type': "uint32",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-lwd", rest_name="tot-no-of-prefix-fec-lwd", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)""",
})
self.__tot_no_of_prefix_fec_lwd = t
if hasattr(self, '_set'):
self._set()
def _unset_tot_no_of_prefix_fec_lwd(self):
self.__tot_no_of_prefix_fec_lwd = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="tot-no-of-prefix-fec-lwd", rest_name="tot-no-of-prefix-fec-lwd", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='uint32', is_config=False)
def _get_filtered(self):
"""
Getter method for filtered, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/filtered (fec-filter-type)
YANG Description: Filter Type
"""
return self.__filtered
def _set_filtered(self, v, load=False):
"""
Setter method for filtered, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/filtered (fec-filter-type)
If this variable is read-only (config: false) in the
source YANG file, then _set_filtered is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_filtered() directly.
YANG Description: Filter Type
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'filtered': {'value': 1}, u'filtered-in': {'value': 2}, u'filtered-out': {'value': 3}},), is_leaf=True, yang_name="filtered", rest_name="filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='fec-filter-type', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """filtered must be of a type compatible with fec-filter-type""",
'defined-type': "brocade-mpls-operational:fec-filter-type",
'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'filtered': {'value': 1}, u'filtered-in': {'value': 2}, u'filtered-out': {'value': 3}},), is_leaf=True, yang_name="filtered", rest_name="filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='fec-filter-type', is_config=False)""",
})
self.__filtered = t
if hasattr(self, '_set'):
self._set()
def _unset_filtered(self):
self.__filtered = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'filtered': {'value': 1}, u'filtered-in': {'value': 2}, u'filtered-out': {'value': 3}},), is_leaf=True, yang_name="filtered", rest_name="filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='fec-filter-type', is_config=False)
def _get_prefix_filtered(self):
"""
Getter method for prefix_filtered, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/prefix_filtered (string)
YANG Description: filter name
"""
return self.__prefix_filtered
def _set_prefix_filtered(self, v, load=False):
"""
Setter method for prefix_filtered, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/prefix_filtered (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_prefix_filtered is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_prefix_filtered() directly.
YANG Description: filter name
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="prefix-filtered", rest_name="prefix-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='string', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """prefix_filtered must be of a type compatible with string""",
'defined-type': "string",
'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="prefix-filtered", rest_name="prefix-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='string', is_config=False)""",
})
self.__prefix_filtered = t
if hasattr(self, '_set'):
self._set()
def _unset_prefix_filtered(self):
self.__prefix_filtered = YANGDynClass(base=unicode, is_leaf=True, yang_name="prefix-filtered", rest_name="prefix-filtered", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='string', is_config=False)
def _get_prefix(self):
"""
Getter method for prefix, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/prefix (list)
"""
return self.__prefix
def _set_prefix(self, v, load=False):
"""
Setter method for prefix, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/prefix (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_prefix is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_prefix() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("destination",prefix.prefix, yang_name="prefix", rest_name="prefix", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='destination', extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}), is_container='list', yang_name="prefix", rest_name="prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='list', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """prefix must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("destination",prefix.prefix, yang_name="prefix", rest_name="prefix", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='destination', extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}), is_container='list', yang_name="prefix", rest_name="prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='list', is_config=False)""",
})
self.__prefix = t
if hasattr(self, '_set'):
self._set()
def _unset_prefix(self):
self.__prefix = YANGDynClass(base=YANGListType("destination",prefix.prefix, yang_name="prefix", rest_name="prefix", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='destination', extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}), is_container='list', yang_name="prefix", rest_name="prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-prefix', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='list', is_config=False)
def _get_key(self):
"""
Getter method for key, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/key (container)
"""
return self.__key
def _set_key(self, v, load=False):
"""
Setter method for key, mapped from YANG variable /mpls_state/ldp/fec/ldp_fec_prefixes/key (container)
If this variable is read-only (config: false) in the
source YANG file, then _set_key is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_key() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=key.key, is_container='container', presence=False, yang_name="key", rest_name="key", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-key-key-1'}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='container', is_config=False)
except (TypeError, ValueError):
raise ValueError({
'error-string': """key must be of a type compatible with container""",
'defined-type': "container",
'generated-type': """YANGDynClass(base=key.key, is_container='container', presence=False, yang_name="key", rest_name="key", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-key-key-1'}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='container', is_config=False)""",
})
self.__key = t
if hasattr(self, '_set'):
self._set()
def _unset_key(self):
self.__key = YANGDynClass(base=key.key, is_container='container', presence=False, yang_name="key", rest_name="key", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mpls-ldp-fec-key-key-1'}}, namespace='urn:brocade.com:mgmt:brocade-mpls-operational', defining_module='brocade-mpls-operational', yang_type='container', is_config=False)
tot_no_of_prefix_fec = __builtin__.property(_get_tot_no_of_prefix_fec)
tot_no_of_prefix_fec_installed = __builtin__.property(_get_tot_no_of_prefix_fec_installed)
tot_no_of_prefix_fec_filtered = __builtin__.property(_get_tot_no_of_prefix_fec_filtered)
tot_no_of_prefix_fec_lwd = __builtin__.property(_get_tot_no_of_prefix_fec_lwd)
filtered = __builtin__.property(_get_filtered)
prefix_filtered = __builtin__.property(_get_prefix_filtered)
prefix = __builtin__.property(_get_prefix)
key = __builtin__.property(_get_key)
_pyangbind_elements = {'tot_no_of_prefix_fec': tot_no_of_prefix_fec, 'tot_no_of_prefix_fec_installed': tot_no_of_prefix_fec_installed, 'tot_no_of_prefix_fec_filtered': tot_no_of_prefix_fec_filtered, 'tot_no_of_prefix_fec_lwd': tot_no_of_prefix_fec_lwd, 'filtered': filtered, 'prefix_filtered': prefix_filtered, 'prefix': prefix, 'key': key, }
| 73.772727
| 744
| 0.742726
| 4,136
| 29,214
| 4.943907
| 0.046663
| 0.028365
| 0.03971
| 0.073748
| 0.897398
| 0.87769
| 0.870648
| 0.846538
| 0.818662
| 0.815141
| 0
| 0.011524
| 0.12672
| 29,214
| 395
| 745
| 73.959494
| 0.789981
| 0.163689
| 0
| 0.46087
| 0
| 0.034783
| 0.376443
| 0.217897
| 0
| 0
| 0
| 0
| 0
| 1
| 0.117391
| false
| 0
| 0.043478
| 0
| 0.278261
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
c7bd4060064aa4ccc776c07aa7678497ec65e795
| 8,232
|
py
|
Python
|
configs/regnet.py
|
roatienza/agmax
|
2a7299cc506605aeaaf64b6155b5c826c71d5786
|
[
"Apache-2.0"
] | 2
|
2021-11-05T13:09:12.000Z
|
2022-03-04T05:07:33.000Z
|
configs/regnet.py
|
roatienza/agmax
|
2a7299cc506605aeaaf64b6155b5c826c71d5786
|
[
"Apache-2.0"
] | 1
|
2021-11-04T10:06:57.000Z
|
2021-11-07T08:35:39.000Z
|
configs/regnet.py
|
roatienza/agmax
|
2a7299cc506605aeaaf64b6155b5c826c71d5786
|
[
"Apache-2.0"
] | null | null | null |
from . import constant
parameters = {
'RegNet' : { "lr": 0.1, "epochs": 100, "weight_decay": 5e-5, "batch_size": 128, "nesterov": True, "init_backbone":True, "init_extractor":True,},
}
backbone_config = {
"RegNetX002" : {"channels": 3, "dropout": 0.2,},
"RegNetY004" : {"channels": 3, "dropout": 0.2,},
}
train = {
# RegNetX002
'RegNetX002-standard': { "backbone": 'RegNetX002',
"backbone_config": backbone_config['RegNetX002'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": False, "no_basic_augment": False, "cutmix": False, "mixup" : False,
},
'RegNetX002-cutmix': { "backbone": 'RegNetX002',
"backbone_config": backbone_config['RegNetX002'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": False, "no_basic_augment": False, "cutmix": True, "mixup" : False,
},
'RegNetX002-standard-agmax': { "backbone": 'RegNetX002',
"backbone_config": backbone_config['RegNetX002'],
"weights_std": constant.agmax_weights_std,
"agmax" : True,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": False, "no_basic_augment": False, "cutmix": False, "mixup" : False,
},
'RegNetX002-auto_augment-cutmix-agmax': { "backbone": 'RegNetX002',
"backbone_config": backbone_config['RegNetX002'],
"weights_std": constant.agmax_weights_std,
"agmax" : True,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": True, "mixup" : False,
},
'RegNetX002-auto_augment-mixup-agmax': { "backbone": 'RegNetX002',
"backbone_config": backbone_config['RegNetX002'],
"weights_std": constant.agmax_weights_std,
"agmax" : True,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": False, "mixup" : True,
},
'RegNetX002-auto_augment-cutmix': { "backbone": 'RegNetX002',
"backbone_config": backbone_config['RegNetX002'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": True, "mixup" : False,
},
'RegNetX002-auto_augment-mixup': { "backbone": 'RegNetX002',
"backbone_config": backbone_config['RegNetX002'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": False, "mixup" : True,
},
# RegNetY004
'RegNetY004-standard': { "backbone": 'RegNetY004',
"backbone_config": backbone_config['RegNetY004'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": False, "no_basic_augment": False, "cutmix": False, "mixup" : False,
},
'RegNetY004-cutmix': { "backbone": 'RegNetY004',
"backbone_config": backbone_config['RegNetY004'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": False, "no_basic_augment": False, "cutmix": True, "mixup" : False,
},
'RegNetY004-standard-agmax': { "backbone": 'RegNetY004',
"backbone_config": backbone_config['RegNetY004'],
"weights_std": constant.agmax_weights_std,
"agmax" : True,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": False, "no_basic_augment": False, "cutmix": False, "mixup" : False,
},
'RegNetY004-auto_augment-cutmix-agmax': { "backbone": 'RegNetY004',
"backbone_config": backbone_config['RegNetY004'],
"weights_std": constant.agmax_weights_std,
"agmax" : True,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": True, "mixup" : False,
},
'RegNetY004-auto_augment-mixup-agmax': { "backbone": 'RegNetY004',
"backbone_config": backbone_config['RegNetY004'],
"weights_std": constant.agmax_weights_std,
"agmax" : True,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": False, "mixup" : True,
},
'RegNetY004-auto_augment-cutmix': { "backbone": 'RegNetY004',
"backbone_config": backbone_config['RegNetY004'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": True, "mixup" : False,
},
'RegNetY004-auto_augment-mixup': { "backbone": 'RegNetY004',
"backbone_config": backbone_config['RegNetY004'],
"weights_std": constant.standard_weights_std,
"agmax" : False,
"parameters" : parameters['RegNet'],
"cutout": False, "auto_augment": True, "no_basic_augment": False, "cutmix": False, "mixup" : True,
},
}
| 68.6
| 153
| 0.409621
| 526
| 8,232
| 6.173004
| 0.079848
| 0.125039
| 0.094857
| 0.120727
| 0.922698
| 0.90114
| 0.90114
| 0.90114
| 0.90114
| 0.89498
| 0
| 0.036015
| 0.480564
| 8,232
| 119
| 154
| 69.176471
| 0.72334
| 0.002551
| 0
| 0.648148
| 0
| 0
| 0.266025
| 0.037777
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.009259
| 0
| 0.009259
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
c7c963a523b032b23261574567ab5a4c018c9176
| 44
|
py
|
Python
|
tsts.py
|
tedtroxell/metrician
|
d4164dbff8db5645ee8beca11dc55ba6c26c4cb6
|
[
"MIT"
] | null | null | null |
tsts.py
|
tedtroxell/metrician
|
d4164dbff8db5645ee8beca11dc55ba6c26c4cb6
|
[
"MIT"
] | null | null | null |
tsts.py
|
tedtroxell/metrician
|
d4164dbff8db5645ee8beca11dc55ba6c26c4cb6
|
[
"MIT"
] | null | null | null |
from metrician.explainations.tests import *
| 22
| 43
| 0.840909
| 5
| 44
| 7.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 44
| 1
| 44
| 44
| 0.925
| 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
| 1
| 0
|
0
| 6
|
c7d9eaf5171771685897ba7e8ba2988b57091181
| 350
|
py
|
Python
|
applications/CoSimulationApplication/custom_data_structure/pyKratos/IntervalUtility.py
|
lcirrott/Kratos
|
8406e73e0ad214c4f89df4e75e9b29d0eb4a47ea
|
[
"BSD-4-Clause"
] | 2
|
2019-10-25T09:28:10.000Z
|
2019-11-21T12:51:46.000Z
|
applications/CoSimulationApplication/custom_data_structure/pyKratos/IntervalUtility.py
|
lcirrott/Kratos
|
8406e73e0ad214c4f89df4e75e9b29d0eb4a47ea
|
[
"BSD-4-Clause"
] | 13
|
2019-10-07T12:06:51.000Z
|
2020-02-18T08:48:33.000Z
|
applications/CoSimulationApplication/custom_data_structure/pyKratos/IntervalUtility.py
|
lcirrott/Kratos
|
8406e73e0ad214c4f89df4e75e9b29d0eb4a47ea
|
[
"BSD-4-Clause"
] | null | null | null |
from __future__ import print_function, absolute_import, division # makes these scripts backward compatible with python 2.6 and 2.7
# TODO this should be implemented, see "kratos/utilities/interval_utility.h"
class IntervalUtility(object):
def __init__(self, settings):
pass
def IsInInterval(self, current_time):
return True
| 38.888889
| 131
| 0.757143
| 46
| 350
| 5.5
| 0.913043
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013889
| 0.177143
| 350
| 9
| 132
| 38.888889
| 0.864583
| 0.394286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 0
| 1
| 0.333333
| false
| 0.166667
| 0.166667
| 0.166667
| 0.833333
| 0.166667
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 6
|
1bf850828538bccd6c9bdc855d6c93aec2b25061
| 52
|
py
|
Python
|
python/testData/formatter/indentInGenerator_after.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/formatter/indentInGenerator_after.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/formatter/indentInGenerator_after.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
def dbl():
return (
(a, a) for a in [])
| 13
| 27
| 0.384615
| 8
| 52
| 2.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.423077
| 52
| 3
| 28
| 17.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0
| 0.333333
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
1bfe4bc4102702ea9b7f00d3aaa75d9c6a870a4d
| 5,645
|
py
|
Python
|
tests/test_create_spreadsheet_values.py
|
Tunous/StringSheet
|
3b0bd00db6ae780c523524b71774f6d3da44435f
|
[
"MIT"
] | 14
|
2017-09-17T12:41:39.000Z
|
2020-12-15T07:42:55.000Z
|
tests/test_create_spreadsheet_values.py
|
Tunous/StringSheet
|
3b0bd00db6ae780c523524b71774f6d3da44435f
|
[
"MIT"
] | 10
|
2017-09-12T20:06:47.000Z
|
2021-03-22T17:16:10.000Z
|
tests/test_create_spreadsheet_values.py
|
Tunous/StringSheet
|
3b0bd00db6ae780c523524b71774f6d3da44435f
|
[
"MIT"
] | 1
|
2017-09-18T04:55:34.000Z
|
2017-09-18T04:55:34.000Z
|
import unittest
from stringsheet.parser import create_spreadsheet_values
from stringsheet.parser import create_language_sheet_values
from stringsheet.parser import parse_resources
class BaseTestCase(unittest.TestCase):
def setUp(self):
self.resources = parse_resources('test-resources/res')
class CreateSpreadsheetValuesTestCase(BaseTestCase):
def setUp(self):
super(CreateSpreadsheetValuesTestCase, self).setUp()
self.values = create_spreadsheet_values(self.resources)
def test_rows_are_valid(self):
rows = [
['id', 'comment', 'default', 'de', 'pl', 'zh-rCN', 'zh-rTW'],
['a_string', '', 'A string', '', '', '', ''],
['partly_added', '', 'Partly added', 'Partly added (de)', '', '',
''],
['string', 'String with comment', 'String', 'String (de)',
'String (pl)', 'String (zh-rCN)', 'String (zh-rTW)'],
['string_2', '', 'String 2', '', '', '', ''],
['array[0]', 'Item comment', 'First', '', '', '', ''],
['array[1]', '', 'Second', '', '', '', ''],
['array_comment[0]', 'Array comment', 'Some item', '', '', '', ''],
['array_comment[1]', 'Array comment', 'More items', '', '', '', ''],
['array_comment[2]', 'Comment', 'More', '', '', '', ''],
['plural{zero}', 'Parent comment', 'Other', '', '', '', ''],
['plural{one}', 'Parent comment', 'One', '', '', '', ''],
['plural{two}', 'Parent comment', 'Other', '', '', '', ''],
['plural{few}', 'Parent comment', 'Other', '', '', '', ''],
['plural{many}', 'Parent comment', 'Other', '', '', '', ''],
['plural{other}', 'Comment', 'Other', '', '', '', ''],
['plurals{zero}', 'Item comment', 'Zero', '', '', '', ''],
['plurals{one}', '', 'One', '', '', '', ''],
['plurals{two}', '', 'Two', '', '', '', ''],
['plurals{few}', '', 'Few', '', '', '', ''],
['plurals{many}', '', 'Many', '', '', '', ''],
['plurals{other}', '', 'Other', '', '', '', ''],
]
self.assertEqual(len(rows), len(self.values))
for index, row in enumerate(rows):
self.assertEqual(row, self.values[index])
class CreateLanguageSpreadsheetValuesTestCase(BaseTestCase):
def setUp(self):
super(CreateLanguageSpreadsheetValuesTestCase, self).setUp()
self.values = create_language_sheet_values(self.resources, 'de')
def test_rows_are_valid(self):
rows = [
['id', 'comment', 'default', 'de'],
['a_string', '', 'A string', ''],
['partly_added', '', 'Partly added', 'Partly added (de)'],
['string', 'String with comment', 'String', 'String (de)'],
['string_2', '', 'String 2', ''],
['array[0]', 'Item comment', 'First', ''],
['array[1]', '', 'Second', ''],
['array_comment[0]', 'Array comment', 'Some item', ''],
['array_comment[1]', 'Array comment', 'More items', ''],
['array_comment[2]', 'Comment', 'More', ''],
['plural{zero}', 'Parent comment', 'Other', ''],
['plural{one}', 'Parent comment', 'One', ''],
['plural{two}', 'Parent comment', 'Other', ''],
['plural{few}', 'Parent comment', 'Other', ''],
['plural{many}', 'Parent comment', 'Other', ''],
['plural{other}', 'Comment', 'Other', ''],
['plurals{zero}', 'Item comment', 'Zero', ''],
['plurals{one}', '', 'One', ''],
['plurals{two}', '', 'Two', ''],
['plurals{few}', '', 'Few', ''],
['plurals{many}', '', 'Many', ''],
['plurals{other}', '', 'Other', ''],
]
self.assertEqual(len(rows), len(self.values))
for index, row in enumerate(rows):
self.assertEqual(row, self.values[index])
class CreateTemplateSpreadsheetValuesTestCase(BaseTestCase):
def setUp(self):
super(CreateTemplateSpreadsheetValuesTestCase, self).setUp()
self.values = create_language_sheet_values(self.resources, 'Template')
def test_rows_are_valid(self):
rows = [
['id', 'comment', 'default', 'language-id'],
['a_string', '', 'A string', ''],
['partly_added', '', 'Partly added', ''],
['string', 'String with comment', 'String', ''],
['string_2', '', 'String 2', ''],
['array[0]', 'Item comment', 'First', ''],
['array[1]', '', 'Second', ''],
['array_comment[0]', 'Array comment', 'Some item', ''],
['array_comment[1]', 'Array comment', 'More items', ''],
['array_comment[2]', 'Comment', 'More', ''],
['plural{zero}', 'Parent comment', 'Other', ''],
['plural{one}', 'Parent comment', 'One', ''],
['plural{two}', 'Parent comment', 'Other', ''],
['plural{few}', 'Parent comment', 'Other', ''],
['plural{many}', 'Parent comment', 'Other', ''],
['plural{other}', 'Comment', 'Other', ''],
['plurals{zero}', 'Item comment', 'Zero', ''],
['plurals{one}', '', 'One', ''],
['plurals{two}', '', 'Two', ''],
['plurals{few}', '', 'Few', ''],
['plurals{many}', '', 'Many', ''],
['plurals{other}', '', 'Other', ''],
]
self.assertEqual(len(rows), len(self.values))
for index, row in enumerate(rows):
self.assertEqual(row, self.values[index])
if __name__ == '__main__':
unittest.main()
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| 80
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0
| 6
|
40186bf606d530f7f4ad08aa9b623b5881609f5c
| 230
|
py
|
Python
|
vise/tests/util/test_string.py
|
kumagai-group/vise
|
8adfe61ad8f31767ec562f02f271e2495f357cd4
|
[
"MIT"
] | 16
|
2020-07-14T13:14:05.000Z
|
2022-03-04T13:39:30.000Z
|
vise/tests/util/test_string.py
|
kumagai-group/vise
|
8adfe61ad8f31767ec562f02f271e2495f357cd4
|
[
"MIT"
] | 10
|
2021-03-15T20:47:45.000Z
|
2021-08-19T00:47:12.000Z
|
vise/tests/util/test_string.py
|
kumagai-group/vise
|
8adfe61ad8f31767ec562f02f271e2495f357cd4
|
[
"MIT"
] | 6
|
2020-03-03T00:42:39.000Z
|
2022-02-22T02:34:47.000Z
|
# -*- coding: utf-8 -*-
# Copyright (c) 2021. Distributed under the terms of the MIT License.
from vise.util.string import numbers_to_lowercases
def test_numbers_to_lowercases():
assert numbers_to_lowercases("Mg2") == "Mg₂"
| 32.857143
| 70
| 0.73913
| 33
| 230
| 4.939394
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| 7
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| 1
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|
0
| 6
|
403d7ac07f1f092095ae4d7caf15898f47658901
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/pyls/_version.py
|
Retraces/UkraineBot
|
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/pyls/_version.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/pyls/_version.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/24/e8/39/183700a0b2d2a9545f3da2571d82b53df290aab3a51dc229b113d16e6c
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
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| 0
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| 0.4375
| 0
| 96
| 1
| 96
| 96
| 0.458333
| 0
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| null | null | 0
| 0
| null | null | 0
| 1
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| 0
| null | 0
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| 0
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| 0
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| 0
| 0
|
0
| 6
|
406bcb88801f876f8613c7d8e41183ccf8efc7dd
| 153
|
py
|
Python
|
bricks/ev3dev/modules/pybricks/robotics.py
|
ZPhilo/pybricks-micropython
|
bf3072b6f7dd87b60e50d7c2130ca3c393a5709f
|
[
"MIT"
] | 115
|
2020-06-15T16:43:14.000Z
|
2022-03-21T21:11:57.000Z
|
bricks/ev3dev/modules/pybricks/robotics.py
|
ZPhilo/pybricks-micropython
|
bf3072b6f7dd87b60e50d7c2130ca3c393a5709f
|
[
"MIT"
] | 83
|
2020-06-17T17:19:29.000Z
|
2022-03-08T18:50:35.000Z
|
bricks/ev3dev/modules/pybricks/robotics.py
|
BertLindeman/pybricks-micropython
|
8f22a99551100e66ddf08d014d9f442f22b33b4d
|
[
"MIT"
] | 40
|
2020-06-15T18:36:39.000Z
|
2022-03-28T13:22:43.000Z
|
# SPDX-License-Identifier: MIT
# Copyright (c) 2018-2020 The Pybricks Authors
"""Pybricks robotics module."""
from _pybricks.robotics import DriveBase
| 21.857143
| 46
| 0.771242
| 19
| 153
| 6.157895
| 0.842105
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| 153
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|
0
| 6
|
40780e501d35b1715806673a2e143e24f1727e1c
| 3,152
|
py
|
Python
|
tests/test_segmenters.py
|
edoarn/cv-models
|
5fa7e50fd69f76b54611bb323b15610eeb1bb5cf
|
[
"MIT"
] | null | null | null |
tests/test_segmenters.py
|
edoarn/cv-models
|
5fa7e50fd69f76b54611bb323b15610eeb1bb5cf
|
[
"MIT"
] | 4
|
2021-04-23T12:05:45.000Z
|
2021-04-25T11:38:01.000Z
|
tests/test_segmenters.py
|
edoarn/cv-models
|
5fa7e50fd69f76b54611bb323b15610eeb1bb5cf
|
[
"MIT"
] | null | null | null |
from typing import Any
import torch
import torch.nn as nn
from cvmodels.segmentation import unet, deeplab as dl
def output(model: nn.Module, input_batch: torch.Tensor) -> Any:
model.eval()
with torch.no_grad():
return model(input_batch)
def numel(m: torch.nn.Module, only_trainable: bool = True) -> int:
parameters = m.parameters()
if only_trainable:
parameters = list(p for p in parameters if p.requires_grad)
unique = dict((p.data_ptr(), p) for p in parameters).values()
return sum(p.numel() for p in unique)
def test_unet_out_transpose(random_seg_batch: torch.Tensor):
batches, _, height, width = random_seg_batch.shape
model = unet.UNet(bilinear=False, outputs=1)
assert numel(model) > 31_000_000
out = output(model, random_seg_batch)
assert out.shape == (batches, 1, height, width)
def test_unet_out_bilinear(random_seg_batch: torch.Tensor):
batches, _, height, width = random_seg_batch.shape
model = unet.UNet(bilinear=True, outputs=1)
assert numel(model) < 30_000_000
out = output(model, random_seg_batch)
assert out.shape == (batches, 1, height, width)
def test_deeplabv3_out(random_seg_batch: torch.Tensor):
batches, _, height, width = random_seg_batch.shape
for variant in dl.DeepLabVariants:
model = dl.DeepLabV3(variant=variant)
out = output(model, random_seg_batch)
assert out.shape == (batches, 1, height, width)
def test_deeplabv3_pretrain_backbone(random_seg_batch: torch.Tensor):
batches, _, height, width = random_seg_batch.shape
for variant in dl.DeepLabVariants:
model = dl.DeepLabV3(variant=variant, pretrained=True)
out = output(model, random_seg_batch)
assert out.shape == (batches, 1, height, width)
def test_deeplabv3_custom():
batch = torch.rand((2, 4, 480, 480))
batches, _, height, width = batch.shape
for variant in dl.DeepLabVariants:
model = dl.DeepLabV3(in_channels=4, out_channels=2, in_dimension=480, variant=variant, pretrained=True)
out = output(model, batch)
assert out.shape == (batches, 2, height, width)
def test_deeplabv3plus_out(random_seg_batch: torch.Tensor):
batches, _, height, width = random_seg_batch.shape
for variant in dl.DeepLabVariants:
model = dl.DeepLabV3Plus(variant=variant)
out = output(model, random_seg_batch)
assert out.shape == (batches, 1, height, width)
def test_deeplabv3plus_pretrain_backbone(random_seg_batch: torch.Tensor):
batches, _, height, width = random_seg_batch.shape
for variant in dl.DeepLabVariants:
model = dl.DeepLabV3Plus(variant=variant, pretrained=True)
out = output(model, random_seg_batch)
assert out.shape == (batches, 1, height, width)
def test_deeplabv3plus_custom():
batch = torch.rand((2, 4, 480, 480))
batches, _, height, width = batch.shape
for variant in dl.DeepLabVariants:
model = dl.DeepLabV3Plus(in_channels=4, out_channels=2, in_dimension=480, variant=variant, pretrained=True)
out = output(model, batch)
assert out.shape == (batches, 2, height, width)
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| 115
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| 430
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| 0.81452
| 0.766745
| 0.766745
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| 0.191942
| 3,152
| 85
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0
| 6
|
408ac0aced4fa7689e5bb64bd87a616424377650
| 46
|
py
|
Python
|
ermaket/api/generation/__init__.py
|
SqrtMinusOne/ERMaket_Experiment
|
c4a7b61651edd15a619d9b690e2aaeaab4de282d
|
[
"Apache-2.0"
] | null | null | null |
ermaket/api/generation/__init__.py
|
SqrtMinusOne/ERMaket_Experiment
|
c4a7b61651edd15a619d9b690e2aaeaab4de282d
|
[
"Apache-2.0"
] | null | null | null |
ermaket/api/generation/__init__.py
|
SqrtMinusOne/ERMaket_Experiment
|
c4a7b61651edd15a619d9b690e2aaeaab4de282d
|
[
"Apache-2.0"
] | null | null | null |
from .generator import *
from .types import *
| 15.333333
| 24
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| 46
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| 0.666667
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| 46
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0
| 6
|
40ba1c6c5aded5c9a1f75bcde2e5830a948185e5
| 39,197
|
py
|
Python
|
tests/unit/test_snapshot.py
|
cnnradams/python-spanner
|
33055e577288cbcc848aa9abf43ccd382c9907a9
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/test_snapshot.py
|
cnnradams/python-spanner
|
33055e577288cbcc848aa9abf43ccd382c9907a9
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/test_snapshot.py
|
cnnradams/python-spanner
|
33055e577288cbcc848aa9abf43ccd382c9907a9
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2016 Google LLC All rights reserved.
#
# 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 unittest
import google.api_core.gapic_v1.method
import mock
TABLE_NAME = "citizens"
COLUMNS = ["email", "first_name", "last_name", "age"]
SQL_QUERY = """\
SELECT first_name, last_name, age FROM citizens ORDER BY age"""
SQL_QUERY_WITH_PARAM = """
SELECT first_name, last_name, email FROM citizens WHERE age <= @max_age"""
PARAMS = {"max_age": 30}
PARAM_TYPES = {"max_age": "INT64"}
SQL_QUERY_WITH_BYTES_PARAM = """\
SELECT image_name FROM images WHERE @bytes IN image_data"""
PARAMS_WITH_BYTES = {"bytes": b"FACEDACE"}
RESUME_TOKEN = b"DEADBEEF"
TXN_ID = b"DEAFBEAD"
SECONDS = 3
MICROS = 123456
class Test_restart_on_unavailable(unittest.TestCase):
def _call_fut(self, restart):
from google.cloud.spanner_v1.snapshot import _restart_on_unavailable
return _restart_on_unavailable(restart)
def _make_item(self, value, resume_token=b""):
return mock.Mock(
value=value, resume_token=resume_token, spec=["value", "resume_token"]
)
def test_iteration_w_empty_raw(self):
raw = _MockIterator()
restart = mock.Mock(spec=[], return_value=raw)
resumable = self._call_fut(restart)
self.assertEqual(list(resumable), [])
def test_iteration_w_non_empty_raw(self):
ITEMS = (self._make_item(0), self._make_item(1))
raw = _MockIterator(*ITEMS)
restart = mock.Mock(spec=[], return_value=raw)
resumable = self._call_fut(restart)
self.assertEqual(list(resumable), list(ITEMS))
restart.assert_called_once_with()
def test_iteration_w_raw_w_resume_tken(self):
ITEMS = (
self._make_item(0),
self._make_item(1, resume_token=RESUME_TOKEN),
self._make_item(2),
self._make_item(3),
)
raw = _MockIterator(*ITEMS)
restart = mock.Mock(spec=[], return_value=raw)
resumable = self._call_fut(restart)
self.assertEqual(list(resumable), list(ITEMS))
restart.assert_called_once_with()
def test_iteration_w_raw_raising_unavailable_no_token(self):
ITEMS = (
self._make_item(0),
self._make_item(1, resume_token=RESUME_TOKEN),
self._make_item(2),
)
before = _MockIterator(fail_after=True)
after = _MockIterator(*ITEMS)
restart = mock.Mock(spec=[], side_effect=[before, after])
resumable = self._call_fut(restart)
self.assertEqual(list(resumable), list(ITEMS))
self.assertEqual(restart.mock_calls, [mock.call(), mock.call(resume_token=b"")])
def test_iteration_w_raw_raising_unavailable(self):
FIRST = (self._make_item(0), self._make_item(1, resume_token=RESUME_TOKEN))
SECOND = (self._make_item(2),) # discarded after 503
LAST = (self._make_item(3),)
before = _MockIterator(*(FIRST + SECOND), fail_after=True)
after = _MockIterator(*LAST)
restart = mock.Mock(spec=[], side_effect=[before, after])
resumable = self._call_fut(restart)
self.assertEqual(list(resumable), list(FIRST + LAST))
self.assertEqual(
restart.mock_calls, [mock.call(), mock.call(resume_token=RESUME_TOKEN)]
)
def test_iteration_w_raw_raising_unavailable_after_token(self):
FIRST = (self._make_item(0), self._make_item(1, resume_token=RESUME_TOKEN))
SECOND = (self._make_item(2), self._make_item(3))
before = _MockIterator(*FIRST, fail_after=True)
after = _MockIterator(*SECOND)
restart = mock.Mock(spec=[], side_effect=[before, after])
resumable = self._call_fut(restart)
self.assertEqual(list(resumable), list(FIRST + SECOND))
self.assertEqual(
restart.mock_calls, [mock.call(), mock.call(resume_token=RESUME_TOKEN)]
)
class Test_SnapshotBase(unittest.TestCase):
PROJECT_ID = "project-id"
INSTANCE_ID = "instance-id"
INSTANCE_NAME = "projects/" + PROJECT_ID + "/instances/" + INSTANCE_ID
DATABASE_ID = "database-id"
DATABASE_NAME = INSTANCE_NAME + "/databases/" + DATABASE_ID
SESSION_ID = "session-id"
SESSION_NAME = DATABASE_NAME + "/sessions/" + SESSION_ID
def _getTargetClass(self):
from google.cloud.spanner_v1.snapshot import _SnapshotBase
return _SnapshotBase
def _make_one(self, session):
return self._getTargetClass()(session)
def _makeDerived(self, session):
class _Derived(self._getTargetClass()):
_transaction_id = None
_multi_use = False
def _make_txn_selector(self):
from google.cloud.spanner_v1.proto.transaction_pb2 import (
TransactionOptions,
TransactionSelector,
)
if self._transaction_id:
return TransactionSelector(id=self._transaction_id)
options = TransactionOptions(
read_only=TransactionOptions.ReadOnly(strong=True)
)
if self._multi_use:
return TransactionSelector(begin=options)
return TransactionSelector(single_use=options)
return _Derived(session)
def _make_spanner_api(self):
import google.cloud.spanner_v1.gapic.spanner_client
return mock.create_autospec(
google.cloud.spanner_v1.gapic.spanner_client.SpannerClient, instance=True
)
def test_ctor(self):
session = _Session()
base = self._make_one(session)
self.assertIs(base._session, session)
self.assertEqual(base._execute_sql_count, 0)
def test__make_txn_selector_virtual(self):
session = _Session()
base = self._make_one(session)
with self.assertRaises(NotImplementedError):
base._make_txn_selector()
def test_read_other_error(self):
from google.cloud.spanner_v1.keyset import KeySet
keyset = KeySet(all_=True)
database = _Database()
database.spanner_api = self._make_spanner_api()
database.spanner_api.streaming_read.side_effect = RuntimeError()
session = _Session(database)
derived = self._makeDerived(session)
with self.assertRaises(RuntimeError):
list(derived.read(TABLE_NAME, COLUMNS, keyset))
def _read_helper(self, multi_use, first=True, count=0, partition=None):
from google.protobuf.struct_pb2 import Struct
from google.cloud.spanner_v1.proto.result_set_pb2 import (
PartialResultSet,
ResultSetMetadata,
ResultSetStats,
)
from google.cloud.spanner_v1.proto.transaction_pb2 import (
TransactionSelector,
TransactionOptions,
)
from google.cloud.spanner_v1.proto.type_pb2 import Type, StructType
from google.cloud.spanner_v1.proto.type_pb2 import STRING, INT64
from google.cloud.spanner_v1.keyset import KeySet
from google.cloud.spanner_v1._helpers import _make_value_pb
VALUES = [[u"bharney", 31], [u"phred", 32]]
VALUE_PBS = [[_make_value_pb(item) for item in row] for row in VALUES]
struct_type_pb = StructType(
fields=[
StructType.Field(name="name", type=Type(code=STRING)),
StructType.Field(name="age", type=Type(code=INT64)),
]
)
metadata_pb = ResultSetMetadata(row_type=struct_type_pb)
stats_pb = ResultSetStats(
query_stats=Struct(fields={"rows_returned": _make_value_pb(2)})
)
result_sets = [
PartialResultSet(values=VALUE_PBS[0], metadata=metadata_pb),
PartialResultSet(values=VALUE_PBS[1], stats=stats_pb),
]
KEYS = [["[email protected]"], ["[email protected]"]]
keyset = KeySet(keys=KEYS)
INDEX = "email-address-index"
LIMIT = 20
database = _Database()
api = database.spanner_api = self._make_spanner_api()
api.streaming_read.return_value = _MockIterator(*result_sets)
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = multi_use
derived._read_request_count = count
if not first:
derived._transaction_id = TXN_ID
if partition is not None: # 'limit' and 'partition' incompatible
result_set = derived.read(
TABLE_NAME, COLUMNS, keyset, index=INDEX, partition=partition
)
else:
result_set = derived.read(
TABLE_NAME, COLUMNS, keyset, index=INDEX, limit=LIMIT
)
self.assertEqual(derived._read_request_count, count + 1)
if multi_use:
self.assertIs(result_set._source, derived)
else:
self.assertIsNone(result_set._source)
self.assertEqual(list(result_set), VALUES)
self.assertEqual(result_set.metadata, metadata_pb)
self.assertEqual(result_set.stats, stats_pb)
txn_options = TransactionOptions(
read_only=TransactionOptions.ReadOnly(strong=True)
)
if multi_use:
if first:
expected_transaction = TransactionSelector(begin=txn_options)
else:
expected_transaction = TransactionSelector(id=TXN_ID)
else:
expected_transaction = TransactionSelector(single_use=txn_options)
if partition is not None:
expected_limit = 0
else:
expected_limit = LIMIT
api.streaming_read.assert_called_once_with(
self.SESSION_NAME,
TABLE_NAME,
COLUMNS,
keyset._to_pb(),
transaction=expected_transaction,
index=INDEX,
limit=expected_limit,
partition_token=partition,
metadata=[("google-cloud-resource-prefix", database.name)],
)
def test_read_wo_multi_use(self):
self._read_helper(multi_use=False)
def test_read_wo_multi_use_w_read_request_count_gt_0(self):
with self.assertRaises(ValueError):
self._read_helper(multi_use=False, count=1)
def test_read_w_multi_use_wo_first(self):
self._read_helper(multi_use=True, first=False)
def test_read_w_multi_use_wo_first_w_count_gt_0(self):
self._read_helper(multi_use=True, first=False, count=1)
def test_read_w_multi_use_w_first_w_partition(self):
PARTITION = b"FADEABED"
self._read_helper(multi_use=True, first=True, partition=PARTITION)
def test_read_w_multi_use_w_first_w_count_gt_0(self):
with self.assertRaises(ValueError):
self._read_helper(multi_use=True, first=True, count=1)
def test_execute_sql_other_error(self):
database = _Database()
database.spanner_api = self._make_spanner_api()
database.spanner_api.execute_streaming_sql.side_effect = RuntimeError()
session = _Session(database)
derived = self._makeDerived(session)
with self.assertRaises(RuntimeError):
list(derived.execute_sql(SQL_QUERY))
self.assertEqual(derived._execute_sql_count, 1)
def test_execute_sql_w_params_wo_param_types(self):
database = _Database()
session = _Session(database)
derived = self._makeDerived(session)
with self.assertRaises(ValueError):
derived.execute_sql(SQL_QUERY_WITH_PARAM, PARAMS)
def _execute_sql_helper(
self,
multi_use,
first=True,
count=0,
partition=None,
sql_count=0,
query_options=None,
timeout=google.api_core.gapic_v1.method.DEFAULT,
retry=google.api_core.gapic_v1.method.DEFAULT,
):
from google.protobuf.struct_pb2 import Struct
from google.cloud.spanner_v1.proto.result_set_pb2 import (
PartialResultSet,
ResultSetMetadata,
ResultSetStats,
)
from google.cloud.spanner_v1.proto.transaction_pb2 import (
TransactionSelector,
TransactionOptions,
)
from google.cloud.spanner_v1.proto.type_pb2 import Type, StructType
from google.cloud.spanner_v1.proto.type_pb2 import STRING, INT64
from google.cloud.spanner_v1._helpers import (
_make_value_pb,
_merge_query_options,
)
VALUES = [[u"bharney", u"rhubbyl", 31], [u"phred", u"phlyntstone", 32]]
VALUE_PBS = [[_make_value_pb(item) for item in row] for row in VALUES]
MODE = 2 # PROFILE
struct_type_pb = StructType(
fields=[
StructType.Field(name="first_name", type=Type(code=STRING)),
StructType.Field(name="last_name", type=Type(code=STRING)),
StructType.Field(name="age", type=Type(code=INT64)),
]
)
metadata_pb = ResultSetMetadata(row_type=struct_type_pb)
stats_pb = ResultSetStats(
query_stats=Struct(fields={"rows_returned": _make_value_pb(2)})
)
result_sets = [
PartialResultSet(values=VALUE_PBS[0], metadata=metadata_pb),
PartialResultSet(values=VALUE_PBS[1], stats=stats_pb),
]
iterator = _MockIterator(*result_sets)
database = _Database()
api = database.spanner_api = self._make_spanner_api()
api.execute_streaming_sql.return_value = iterator
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = multi_use
derived._read_request_count = count
derived._execute_sql_count = sql_count
if not first:
derived._transaction_id = TXN_ID
result_set = derived.execute_sql(
SQL_QUERY_WITH_PARAM,
PARAMS,
PARAM_TYPES,
query_mode=MODE,
query_options=query_options,
partition=partition,
retry=retry,
timeout=timeout,
)
self.assertEqual(derived._read_request_count, count + 1)
if multi_use:
self.assertIs(result_set._source, derived)
else:
self.assertIsNone(result_set._source)
self.assertEqual(list(result_set), VALUES)
self.assertEqual(result_set.metadata, metadata_pb)
self.assertEqual(result_set.stats, stats_pb)
txn_options = TransactionOptions(
read_only=TransactionOptions.ReadOnly(strong=True)
)
if multi_use:
if first:
expected_transaction = TransactionSelector(begin=txn_options)
else:
expected_transaction = TransactionSelector(id=TXN_ID)
else:
expected_transaction = TransactionSelector(single_use=txn_options)
expected_params = Struct(
fields={key: _make_value_pb(value) for (key, value) in PARAMS.items()}
)
expected_query_options = database._instance._client._query_options
if query_options:
expected_query_options = _merge_query_options(
expected_query_options, query_options
)
api.execute_streaming_sql.assert_called_once_with(
self.SESSION_NAME,
SQL_QUERY_WITH_PARAM,
transaction=expected_transaction,
params=expected_params,
param_types=PARAM_TYPES,
query_mode=MODE,
query_options=expected_query_options,
partition_token=partition,
seqno=sql_count,
metadata=[("google-cloud-resource-prefix", database.name)],
timeout=timeout,
retry=retry,
)
self.assertEqual(derived._execute_sql_count, sql_count + 1)
def test_execute_sql_wo_multi_use(self):
self._execute_sql_helper(multi_use=False)
def test_execute_sql_wo_multi_use_w_read_request_count_gt_0(self):
with self.assertRaises(ValueError):
self._execute_sql_helper(multi_use=False, count=1)
def test_execute_sql_w_multi_use_wo_first(self):
self._execute_sql_helper(multi_use=True, first=False, sql_count=1)
def test_execute_sql_w_multi_use_wo_first_w_count_gt_0(self):
self._execute_sql_helper(multi_use=True, first=False, count=1)
def test_execute_sql_w_multi_use_w_first(self):
self._execute_sql_helper(multi_use=True, first=True)
def test_execute_sql_w_multi_use_w_first_w_count_gt_0(self):
with self.assertRaises(ValueError):
self._execute_sql_helper(multi_use=True, first=True, count=1)
def test_execute_sql_w_retry(self):
self._execute_sql_helper(multi_use=False, retry=None)
def test_execute_sql_w_timeout(self):
self._execute_sql_helper(multi_use=False, timeout=None)
def test_execute_sql_w_query_options(self):
from google.cloud.spanner_v1.proto.spanner_pb2 import ExecuteSqlRequest
self._execute_sql_helper(
multi_use=False,
query_options=ExecuteSqlRequest.QueryOptions(optimizer_version="3"),
)
def _partition_read_helper(
self, multi_use, w_txn, size=None, max_partitions=None, index=None
):
from google.cloud.spanner_v1.keyset import KeySet
from google.cloud.spanner_v1.types import Partition
from google.cloud.spanner_v1.types import PartitionOptions
from google.cloud.spanner_v1.types import PartitionResponse
from google.cloud.spanner_v1.types import Transaction
from google.cloud.spanner_v1.proto.transaction_pb2 import TransactionSelector
keyset = KeySet(all_=True)
new_txn_id = b"ABECAB91"
token_1 = b"FACE0FFF"
token_2 = b"BADE8CAF"
response = PartitionResponse(
partitions=[
Partition(partition_token=token_1),
Partition(partition_token=token_2),
],
transaction=Transaction(id=new_txn_id),
)
database = _Database()
api = database.spanner_api = self._make_spanner_api()
api.partition_read.return_value = response
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = multi_use
if w_txn:
derived._transaction_id = TXN_ID
tokens = list(
derived.partition_read(
TABLE_NAME,
COLUMNS,
keyset,
index=index,
partition_size_bytes=size,
max_partitions=max_partitions,
)
)
self.assertEqual(tokens, [token_1, token_2])
expected_txn_selector = TransactionSelector(id=TXN_ID)
expected_partition_options = PartitionOptions(
partition_size_bytes=size, max_partitions=max_partitions
)
api.partition_read.assert_called_once_with(
session=self.SESSION_NAME,
table=TABLE_NAME,
columns=COLUMNS,
key_set=keyset._to_pb(),
transaction=expected_txn_selector,
index=index,
partition_options=expected_partition_options,
metadata=[("google-cloud-resource-prefix", database.name)],
)
def test_partition_read_single_use_raises(self):
with self.assertRaises(ValueError):
self._partition_read_helper(multi_use=False, w_txn=True)
def test_partition_read_wo_existing_transaction_raises(self):
with self.assertRaises(ValueError):
self._partition_read_helper(multi_use=True, w_txn=False)
def test_partition_read_other_error(self):
from google.cloud.spanner_v1.keyset import KeySet
keyset = KeySet(all_=True)
database = _Database()
database.spanner_api = self._make_spanner_api()
database.spanner_api.partition_read.side_effect = RuntimeError()
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = True
derived._transaction_id = TXN_ID
with self.assertRaises(RuntimeError):
list(derived.partition_read(TABLE_NAME, COLUMNS, keyset))
def test_partition_read_ok_w_index_no_options(self):
self._partition_read_helper(multi_use=True, w_txn=True, index="index")
def test_partition_read_ok_w_size(self):
self._partition_read_helper(multi_use=True, w_txn=True, size=2000)
def test_partition_read_ok_w_max_partitions(self):
self._partition_read_helper(multi_use=True, w_txn=True, max_partitions=4)
def _partition_query_helper(self, multi_use, w_txn, size=None, max_partitions=None):
from google.protobuf.struct_pb2 import Struct
from google.cloud.spanner_v1.types import Partition
from google.cloud.spanner_v1.types import PartitionOptions
from google.cloud.spanner_v1.types import PartitionResponse
from google.cloud.spanner_v1.types import Transaction
from google.cloud.spanner_v1.proto.transaction_pb2 import TransactionSelector
from google.cloud.spanner_v1._helpers import _make_value_pb
new_txn_id = b"ABECAB91"
token_1 = b"FACE0FFF"
token_2 = b"BADE8CAF"
response = PartitionResponse(
partitions=[
Partition(partition_token=token_1),
Partition(partition_token=token_2),
],
transaction=Transaction(id=new_txn_id),
)
database = _Database()
api = database.spanner_api = self._make_spanner_api()
api.partition_query.return_value = response
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = multi_use
if w_txn:
derived._transaction_id = TXN_ID
tokens = list(
derived.partition_query(
SQL_QUERY_WITH_PARAM,
PARAMS,
PARAM_TYPES,
partition_size_bytes=size,
max_partitions=max_partitions,
)
)
self.assertEqual(tokens, [token_1, token_2])
expected_params = Struct(
fields={key: _make_value_pb(value) for (key, value) in PARAMS.items()}
)
expected_txn_selector = TransactionSelector(id=TXN_ID)
expected_partition_options = PartitionOptions(
partition_size_bytes=size, max_partitions=max_partitions
)
api.partition_query.assert_called_once_with(
session=self.SESSION_NAME,
sql=SQL_QUERY_WITH_PARAM,
transaction=expected_txn_selector,
params=expected_params,
param_types=PARAM_TYPES,
partition_options=expected_partition_options,
metadata=[("google-cloud-resource-prefix", database.name)],
)
def test_partition_query_other_error(self):
database = _Database()
database.spanner_api = self._make_spanner_api()
database.spanner_api.partition_query.side_effect = RuntimeError()
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = True
derived._transaction_id = TXN_ID
with self.assertRaises(RuntimeError):
list(derived.partition_query(SQL_QUERY))
def test_partition_query_w_params_wo_param_types(self):
database = _Database()
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = True
derived._transaction_id = TXN_ID
with self.assertRaises(ValueError):
list(derived.partition_query(SQL_QUERY_WITH_PARAM, PARAMS))
def test_partition_query_single_use_raises(self):
with self.assertRaises(ValueError):
self._partition_query_helper(multi_use=False, w_txn=True)
def test_partition_query_wo_transaction_raises(self):
with self.assertRaises(ValueError):
self._partition_query_helper(multi_use=True, w_txn=False)
def test_partition_query_ok_w_index_no_options(self):
self._partition_query_helper(multi_use=True, w_txn=True)
def test_partition_query_ok_w_size(self):
self._partition_query_helper(multi_use=True, w_txn=True, size=2000)
def test_partition_query_ok_w_max_partitions(self):
self._partition_query_helper(multi_use=True, w_txn=True, max_partitions=4)
class TestSnapshot(unittest.TestCase):
PROJECT_ID = "project-id"
INSTANCE_ID = "instance-id"
INSTANCE_NAME = "projects/" + PROJECT_ID + "/instances/" + INSTANCE_ID
DATABASE_ID = "database-id"
DATABASE_NAME = INSTANCE_NAME + "/databases/" + DATABASE_ID
SESSION_ID = "session-id"
SESSION_NAME = DATABASE_NAME + "/sessions/" + SESSION_ID
def _getTargetClass(self):
from google.cloud.spanner_v1.snapshot import Snapshot
return Snapshot
def _make_one(self, *args, **kwargs):
return self._getTargetClass()(*args, **kwargs)
def _make_spanner_api(self):
import google.cloud.spanner_v1.gapic.spanner_client
return mock.create_autospec(
google.cloud.spanner_v1.gapic.spanner_client.SpannerClient, instance=True
)
def _makeTimestamp(self):
import datetime
from google.cloud._helpers import UTC
return datetime.datetime.utcnow().replace(tzinfo=UTC)
def _makeDuration(self, seconds=1, microseconds=0):
import datetime
return datetime.timedelta(seconds=seconds, microseconds=microseconds)
def test_ctor_defaults(self):
session = _Session()
snapshot = self._make_one(session)
self.assertIs(snapshot._session, session)
self.assertTrue(snapshot._strong)
self.assertIsNone(snapshot._read_timestamp)
self.assertIsNone(snapshot._min_read_timestamp)
self.assertIsNone(snapshot._max_staleness)
self.assertIsNone(snapshot._exact_staleness)
self.assertFalse(snapshot._multi_use)
def test_ctor_w_multiple_options(self):
timestamp = self._makeTimestamp()
duration = self._makeDuration()
session = _Session()
with self.assertRaises(ValueError):
self._make_one(session, read_timestamp=timestamp, max_staleness=duration)
def test_ctor_w_read_timestamp(self):
timestamp = self._makeTimestamp()
session = _Session()
snapshot = self._make_one(session, read_timestamp=timestamp)
self.assertIs(snapshot._session, session)
self.assertFalse(snapshot._strong)
self.assertEqual(snapshot._read_timestamp, timestamp)
self.assertIsNone(snapshot._min_read_timestamp)
self.assertIsNone(snapshot._max_staleness)
self.assertIsNone(snapshot._exact_staleness)
self.assertFalse(snapshot._multi_use)
def test_ctor_w_min_read_timestamp(self):
timestamp = self._makeTimestamp()
session = _Session()
snapshot = self._make_one(session, min_read_timestamp=timestamp)
self.assertIs(snapshot._session, session)
self.assertFalse(snapshot._strong)
self.assertIsNone(snapshot._read_timestamp)
self.assertEqual(snapshot._min_read_timestamp, timestamp)
self.assertIsNone(snapshot._max_staleness)
self.assertIsNone(snapshot._exact_staleness)
self.assertFalse(snapshot._multi_use)
def test_ctor_w_max_staleness(self):
duration = self._makeDuration()
session = _Session()
snapshot = self._make_one(session, max_staleness=duration)
self.assertIs(snapshot._session, session)
self.assertFalse(snapshot._strong)
self.assertIsNone(snapshot._read_timestamp)
self.assertIsNone(snapshot._min_read_timestamp)
self.assertEqual(snapshot._max_staleness, duration)
self.assertIsNone(snapshot._exact_staleness)
self.assertFalse(snapshot._multi_use)
def test_ctor_w_exact_staleness(self):
duration = self._makeDuration()
session = _Session()
snapshot = self._make_one(session, exact_staleness=duration)
self.assertIs(snapshot._session, session)
self.assertFalse(snapshot._strong)
self.assertIsNone(snapshot._read_timestamp)
self.assertIsNone(snapshot._min_read_timestamp)
self.assertIsNone(snapshot._max_staleness)
self.assertEqual(snapshot._exact_staleness, duration)
self.assertFalse(snapshot._multi_use)
def test_ctor_w_multi_use(self):
session = _Session()
snapshot = self._make_one(session, multi_use=True)
self.assertTrue(snapshot._session is session)
self.assertTrue(snapshot._strong)
self.assertIsNone(snapshot._read_timestamp)
self.assertIsNone(snapshot._min_read_timestamp)
self.assertIsNone(snapshot._max_staleness)
self.assertIsNone(snapshot._exact_staleness)
self.assertTrue(snapshot._multi_use)
def test_ctor_w_multi_use_and_read_timestamp(self):
timestamp = self._makeTimestamp()
session = _Session()
snapshot = self._make_one(session, read_timestamp=timestamp, multi_use=True)
self.assertTrue(snapshot._session is session)
self.assertFalse(snapshot._strong)
self.assertEqual(snapshot._read_timestamp, timestamp)
self.assertIsNone(snapshot._min_read_timestamp)
self.assertIsNone(snapshot._max_staleness)
self.assertIsNone(snapshot._exact_staleness)
self.assertTrue(snapshot._multi_use)
def test_ctor_w_multi_use_and_min_read_timestamp(self):
timestamp = self._makeTimestamp()
session = _Session()
with self.assertRaises(ValueError):
self._make_one(session, min_read_timestamp=timestamp, multi_use=True)
def test_ctor_w_multi_use_and_max_staleness(self):
duration = self._makeDuration()
session = _Session()
with self.assertRaises(ValueError):
self._make_one(session, max_staleness=duration, multi_use=True)
def test_ctor_w_multi_use_and_exact_staleness(self):
duration = self._makeDuration()
session = _Session()
snapshot = self._make_one(session, exact_staleness=duration, multi_use=True)
self.assertTrue(snapshot._session is session)
self.assertFalse(snapshot._strong)
self.assertIsNone(snapshot._read_timestamp)
self.assertIsNone(snapshot._min_read_timestamp)
self.assertIsNone(snapshot._max_staleness)
self.assertEqual(snapshot._exact_staleness, duration)
self.assertTrue(snapshot._multi_use)
def test__make_txn_selector_w_transaction_id(self):
session = _Session()
snapshot = self._make_one(session)
snapshot._transaction_id = TXN_ID
selector = snapshot._make_txn_selector()
self.assertEqual(selector.id, TXN_ID)
def test__make_txn_selector_strong(self):
session = _Session()
snapshot = self._make_one(session)
selector = snapshot._make_txn_selector()
options = selector.single_use
self.assertTrue(options.read_only.strong)
def test__make_txn_selector_w_read_timestamp(self):
from google.cloud._helpers import _pb_timestamp_to_datetime
timestamp = self._makeTimestamp()
session = _Session()
snapshot = self._make_one(session, read_timestamp=timestamp)
selector = snapshot._make_txn_selector()
options = selector.single_use
self.assertEqual(
_pb_timestamp_to_datetime(options.read_only.read_timestamp), timestamp
)
def test__make_txn_selector_w_min_read_timestamp(self):
from google.cloud._helpers import _pb_timestamp_to_datetime
timestamp = self._makeTimestamp()
session = _Session()
snapshot = self._make_one(session, min_read_timestamp=timestamp)
selector = snapshot._make_txn_selector()
options = selector.single_use
self.assertEqual(
_pb_timestamp_to_datetime(options.read_only.min_read_timestamp), timestamp
)
def test__make_txn_selector_w_max_staleness(self):
duration = self._makeDuration(seconds=3, microseconds=123456)
session = _Session()
snapshot = self._make_one(session, max_staleness=duration)
selector = snapshot._make_txn_selector()
options = selector.single_use
self.assertEqual(options.read_only.max_staleness.seconds, 3)
self.assertEqual(options.read_only.max_staleness.nanos, 123456000)
def test__make_txn_selector_w_exact_staleness(self):
duration = self._makeDuration(seconds=3, microseconds=123456)
session = _Session()
snapshot = self._make_one(session, exact_staleness=duration)
selector = snapshot._make_txn_selector()
options = selector.single_use
self.assertEqual(options.read_only.exact_staleness.seconds, 3)
self.assertEqual(options.read_only.exact_staleness.nanos, 123456000)
def test__make_txn_selector_strong_w_multi_use(self):
session = _Session()
snapshot = self._make_one(session, multi_use=True)
selector = snapshot._make_txn_selector()
options = selector.begin
self.assertTrue(options.read_only.strong)
def test__make_txn_selector_w_read_timestamp_w_multi_use(self):
from google.cloud._helpers import _pb_timestamp_to_datetime
timestamp = self._makeTimestamp()
session = _Session()
snapshot = self._make_one(session, read_timestamp=timestamp, multi_use=True)
selector = snapshot._make_txn_selector()
options = selector.begin
self.assertEqual(
_pb_timestamp_to_datetime(options.read_only.read_timestamp), timestamp
)
def test__make_txn_selector_w_exact_staleness_w_multi_use(self):
duration = self._makeDuration(seconds=3, microseconds=123456)
session = _Session()
snapshot = self._make_one(session, exact_staleness=duration, multi_use=True)
selector = snapshot._make_txn_selector()
options = selector.begin
self.assertEqual(options.read_only.exact_staleness.seconds, 3)
self.assertEqual(options.read_only.exact_staleness.nanos, 123456000)
def test_begin_wo_multi_use(self):
session = _Session()
snapshot = self._make_one(session)
with self.assertRaises(ValueError):
snapshot.begin()
def test_begin_w_read_request_count_gt_0(self):
session = _Session()
snapshot = self._make_one(session, multi_use=True)
snapshot._read_request_count = 1
with self.assertRaises(ValueError):
snapshot.begin()
def test_begin_w_existing_txn_id(self):
session = _Session()
snapshot = self._make_one(session, multi_use=True)
snapshot._transaction_id = TXN_ID
with self.assertRaises(ValueError):
snapshot.begin()
def test_begin_w_other_error(self):
database = _Database()
database.spanner_api = self._make_spanner_api()
database.spanner_api.begin_transaction.side_effect = RuntimeError()
timestamp = self._makeTimestamp()
session = _Session(database)
snapshot = self._make_one(session, read_timestamp=timestamp, multi_use=True)
with self.assertRaises(RuntimeError):
snapshot.begin()
def test_begin_ok_exact_staleness(self):
from google.protobuf.duration_pb2 import Duration
from google.cloud.spanner_v1.proto.transaction_pb2 import (
Transaction as TransactionPB,
TransactionOptions,
)
transaction_pb = TransactionPB(id=TXN_ID)
database = _Database()
api = database.spanner_api = self._make_spanner_api()
api.begin_transaction.return_value = transaction_pb
duration = self._makeDuration(seconds=SECONDS, microseconds=MICROS)
session = _Session(database)
snapshot = self._make_one(session, exact_staleness=duration, multi_use=True)
txn_id = snapshot.begin()
self.assertEqual(txn_id, TXN_ID)
self.assertEqual(snapshot._transaction_id, TXN_ID)
expected_duration = Duration(seconds=SECONDS, nanos=MICROS * 1000)
expected_txn_options = TransactionOptions(
read_only=TransactionOptions.ReadOnly(exact_staleness=expected_duration)
)
api.begin_transaction.assert_called_once_with(
session.name,
expected_txn_options,
metadata=[("google-cloud-resource-prefix", database.name)],
)
def test_begin_ok_exact_strong(self):
from google.cloud.spanner_v1.proto.transaction_pb2 import (
Transaction as TransactionPB,
TransactionOptions,
)
transaction_pb = TransactionPB(id=TXN_ID)
database = _Database()
api = database.spanner_api = self._make_spanner_api()
api.begin_transaction.return_value = transaction_pb
session = _Session(database)
snapshot = self._make_one(session, multi_use=True)
txn_id = snapshot.begin()
self.assertEqual(txn_id, TXN_ID)
self.assertEqual(snapshot._transaction_id, TXN_ID)
expected_txn_options = TransactionOptions(
read_only=TransactionOptions.ReadOnly(strong=True)
)
api.begin_transaction.assert_called_once_with(
session.name,
expected_txn_options,
metadata=[("google-cloud-resource-prefix", database.name)],
)
class _Client(object):
def __init__(self):
from google.cloud.spanner_v1.proto.spanner_pb2 import ExecuteSqlRequest
self._query_options = ExecuteSqlRequest.QueryOptions(optimizer_version="1")
class _Instance(object):
def __init__(self):
self._client = _Client()
class _Database(object):
def __init__(self):
self.name = "testing"
self._instance = _Instance()
class _Session(object):
def __init__(self, database=None, name=TestSnapshot.SESSION_NAME):
self._database = database
self.name = name
class _MockIterator(object):
def __init__(self, *values, **kw):
self._iter_values = iter(values)
self._fail_after = kw.pop("fail_after", False)
def __iter__(self):
return self
def __next__(self):
from google.api_core.exceptions import ServiceUnavailable
try:
return next(self._iter_values)
except StopIteration:
if self._fail_after:
raise ServiceUnavailable("testing")
raise
next = __next__
| 37.725698
| 88
| 0.672858
| 4,465
| 39,197
| 5.534379
| 0.070773
| 0.028489
| 0.02246
| 0.029946
| 0.838776
| 0.812917
| 0.785966
| 0.754158
| 0.707539
| 0.680183
| 0
| 0.007948
| 0.242493
| 39,197
| 1,038
| 89
| 37.762042
| 0.824296
| 0.016149
| 0
| 0.610849
| 0
| 0
| 0.02244
| 0.004358
| 0
| 0
| 0
| 0
| 0.152123
| 1
| 0.103774
| false
| 0
| 0.057783
| 0.004717
| 0.208726
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
40eaa3da9e931ca4a3dcce107069762aa322fa53
| 24
|
py
|
Python
|
drae/__init__.py
|
hso/drae.py
|
b78772fa055fe5f8acb2bb44d7e7573af277226b
|
[
"MIT"
] | null | null | null |
drae/__init__.py
|
hso/drae.py
|
b78772fa055fe5f8acb2bb44d7e7573af277226b
|
[
"MIT"
] | null | null | null |
drae/__init__.py
|
hso/drae.py
|
b78772fa055fe5f8acb2bb44d7e7573af277226b
|
[
"MIT"
] | null | null | null |
from drae import search
| 12
| 23
| 0.833333
| 4
| 24
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 24
| 1
| 24
| 24
| 1
| 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
| 1
| 0
|
0
| 6
|
40ff943d89da7510322d2d4989457bad5b652c0f
| 179
|
py
|
Python
|
tests/integration/test_combined.py
|
jonathan-winn-geo/new-repo-example
|
2fbc54b1d42c57ca1105b1066e47627832cc8185
|
[
"BSD-3-Clause"
] | null | null | null |
tests/integration/test_combined.py
|
jonathan-winn-geo/new-repo-example
|
2fbc54b1d42c57ca1105b1066e47627832cc8185
|
[
"BSD-3-Clause"
] | 85
|
2020-08-12T15:59:48.000Z
|
2022-01-17T10:28:56.000Z
|
tests/integration/test_combined.py
|
cma-open/cmatools
|
ce5743dca7c5bf1f6ab7fe3af24893a65d0c2db7
|
[
"BSD-3-Clause"
] | null | null | null |
"""Test combined function."""
from cmatools.combine.combine import combined
def test_combined():
"""Test of combined function"""
assert combined() == "this hello cma"
| 17.9
| 45
| 0.692737
| 21
| 179
| 5.857143
| 0.619048
| 0.195122
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173184
| 179
| 9
| 46
| 19.888889
| 0.831081
| 0.273743
| 0
| 0
| 0
| 0
| 0.117647
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
dc1410a8579c40952f7be96924032fe936ce5616
| 56
|
py
|
Python
|
konform/cmd.py
|
openanalytics/konform
|
8691575ec94e753987bf4748ac279b1510b6e04a
|
[
"Apache-2.0"
] | 7
|
2021-02-23T12:08:01.000Z
|
2022-03-12T01:52:35.000Z
|
konform/cmd.py
|
openanalytics/konform
|
8691575ec94e753987bf4748ac279b1510b6e04a
|
[
"Apache-2.0"
] | 1
|
2022-03-11T21:53:18.000Z
|
2022-03-11T21:53:18.000Z
|
konform/cmd.py
|
openanalytics/konform
|
8691575ec94e753987bf4748ac279b1510b6e04a
|
[
"Apache-2.0"
] | 1
|
2021-05-07T20:13:30.000Z
|
2021-05-07T20:13:30.000Z
|
from . import Konform
def main():
Konform().run()
| 9.333333
| 21
| 0.607143
| 7
| 56
| 4.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.232143
| 56
| 5
| 22
| 11.2
| 0.790698
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
909ad865d21f2537f3949dbc416292efd7136d09
| 45
|
py
|
Python
|
scivision_test_plugin/__init__.py
|
acocac/scivision-test-plugin
|
0ebeabe256287a83d8a268649085f18dc3ddfc9f
|
[
"BSD-3-Clause"
] | null | null | null |
scivision_test_plugin/__init__.py
|
acocac/scivision-test-plugin
|
0ebeabe256287a83d8a268649085f18dc3ddfc9f
|
[
"BSD-3-Clause"
] | null | null | null |
scivision_test_plugin/__init__.py
|
acocac/scivision-test-plugin
|
0ebeabe256287a83d8a268649085f18dc3ddfc9f
|
[
"BSD-3-Clause"
] | null | null | null |
from .model import DummyModel, ImageNetModel
| 22.5
| 44
| 0.844444
| 5
| 45
| 7.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 45
| 1
| 45
| 45
| 0.95
| 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
| 1
| 0
|
0
| 6
|
90b9c9ce2f3208b12b35d5e78f9d7d9be8454378
| 92
|
py
|
Python
|
quick-scan.py
|
B3ND1X/py-air-script
|
d6756cc2b5ec2a7e7950b13b09c78c776488fd6e
|
[
"Apache-2.0"
] | 2
|
2021-11-19T10:40:07.000Z
|
2022-02-28T16:39:49.000Z
|
quick-scan.py
|
B3ND1X/py-air-script
|
d6756cc2b5ec2a7e7950b13b09c78c776488fd6e
|
[
"Apache-2.0"
] | null | null | null |
quick-scan.py
|
B3ND1X/py-air-script
|
d6756cc2b5ec2a7e7950b13b09c78c776488fd6e
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
import os
os.system("sudo ./scan.py")
os.system("sudo ./enable-wifi.py")
| 15.333333
| 34
| 0.673913
| 16
| 92
| 3.875
| 0.6875
| 0.258065
| 0.387097
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 92
| 5
| 35
| 18.4
| 0.738095
| 0.173913
| 0
| 0
| 0
| 0
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
90bbeed86ea6726d8cf4682e4d77c05a1d88ab5a
| 121,331
|
py
|
Python
|
tests/adapters/switches/brocade_test.py
|
FrancoisLopez/netman
|
a40d3235f7ea0cdaf52daab97b0d5ad20857b00e
|
[
"Apache-2.0"
] | 38
|
2015-11-30T10:11:42.000Z
|
2022-02-10T18:31:44.000Z
|
tests/adapters/switches/brocade_test.py
|
FrancoisLopez/netman
|
a40d3235f7ea0cdaf52daab97b0d5ad20857b00e
|
[
"Apache-2.0"
] | 143
|
2015-12-10T19:00:42.000Z
|
2020-08-20T13:51:42.000Z
|
tests/adapters/switches/brocade_test.py
|
FrancoisLopez/netman
|
a40d3235f7ea0cdaf52daab97b0d5ad20857b00e
|
[
"Apache-2.0"
] | 15
|
2015-12-14T23:03:30.000Z
|
2019-01-15T19:35:45.000Z
|
# Copyright 2015 Internap.
#
# 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 unittest
import mock
from flexmock import flexmock, flexmock_teardown
from hamcrest import assert_that, has_length, equal_to, is_, none, empty
from netaddr import IPNetwork
from netaddr.ip import IPAddress
from netman.adapters.switches import brocade_factory_ssh, brocade_factory_telnet
from netman.adapters.switches.brocade import Brocade, parse_if_ranges
from netman.adapters.switches.util import SubShell
from netman.core.objects.access_groups import IN, OUT
from netman.core.objects.exceptions import IPNotAvailable, UnknownVlan, UnknownIP, UnknownAccessGroup, BadVlanNumber, \
BadVlanName, UnknownInterface, TrunkVlanNotSet, UnknownVrf, VlanVrfNotSet, VrrpAlreadyExistsForVlan, BadVrrpPriorityNumber, BadVrrpGroupNumber, \
BadVrrpTimers, BadVrrpTracking, NoIpOnVlanForVrrp, VrrpDoesNotExistForVlan, UnknownDhcpRelayServer, DhcpRelayServerAlreadyExists, \
VlanAlreadyExist, InvalidAccessGroupName, IPAlreadySet
from netman.core.objects.interface_states import OFF, ON
from netman.core.objects.port_modes import ACCESS, TRUNK
from netman.core.objects.switch_descriptor import SwitchDescriptor
class BrocadeTest(unittest.TestCase):
def setUp(self):
self.switch = Brocade(SwitchDescriptor(model='brocade', hostname="my.hostname"), None)
SubShell.debug = True
self.shell_mock = flexmock()
self.switch.shell = self.shell_mock
def tearDown(self):
flexmock_teardown()
def test_switch_has_a_logger_configured_with_the_switch_name(self):
assert_that(self.switch.logger.name, is_(Brocade.__module__ + ".my.hostname"))
def test_ip_redirect_enable(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 999, name="Shizzle")
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 999").once().ordered().and_return([
"interface ve 999",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip redirect").once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice()
self.switch.set_vlan_icmp_redirects_state(1234, True)
def test_ip_redirect_disable(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 999, name="Shizzle")
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 999").once().ordered().and_return([
"interface ve 999",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip redirect").once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice()
self.switch.set_vlan_icmp_redirects_state(1234, False)
def test_set_vlan_icmp_redirects_state_without_interface_creates_it(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 999, name="Shizzle")
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 999").once().ordered().and_return([
"Error - ve 999 was not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("interface ve 999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip redirect").once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice()
self.switch.set_vlan_icmp_redirects_state(1234, False)
def test_set_vlan_icmp_redirects_state_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return([
"Error: vlan 1234 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.set_vlan_icmp_redirects_state(1234, False)
assert_that(str(expect.exception), equal_to("Vlan 1234 not found"))
def test_get_vlans(self):
self.shell_mock.should_receive("do").with_args("show running-config vlan | begin vlan").once().ordered().and_return([
"vlan 1 name DEFAULT-VLAN",
""
" no untagged ethe 1/1 ethe 1/3 to 1/22",
"!",
"vlan 201",
" tagged ethe 1/1",
" router-interface ve 201",
"!",
"vlan 2222 name your-name-is-way-too-long-for-t",
" tagged ethe 1/1",
" untagged ethe 1/2",
"!",
"vlan 3333 name some-name",
"!",
"!"
])
self.shell_mock.should_receive("do").with_args("show running-config interface").once()\
.ordered().and_return([
'interface ve 428',
' port-name "My Awesome Port Name"',
' ip address 10.241.0.33/27',
' ip access-group ACL-IN in',
' ip access-group ACL-OUT out',
'!',
'interface ve 201',
' vrf forwarding SHIZZLE',
' ip address 1.1.1.1/24',
' ip address 2.1.1.1/27',
' ip address 1.1.1.9/24 secondary',
' ip helper-address 10.10.10.1',
' ip helper-address 10.10.10.2',
' ip vrrp-extended auth-type simple-text-auth VLAN201',
' ip vrrp-extended vrid 1',
' backup priority 110 track-priority 50',
' ip-address 1.1.1.2',
' hello-interval 5',
' dead-interval 15',
' advertise backup',
' track-port ethernet 1/1',
' activate',
' ip vrrp-extended vrid 2',
' backup priority 110 track-priority 50',
' ip-address 1.1.1.3',
' ip-address 1.1.1.4',
' hello-interval 5',
' dead-interval 15',
' advertise backup',
' track-port ethernet 1/1',
' activate',
' no ip redirect'
'!',
'interface ve 1203',
'!',
'interface ve 3993',
' port-name Another-port-name',
' ip address 4.4.4.0/27',
'!'])
vlan1, vlan201, vlan2222, vlan3333 = self.switch.get_vlans()
assert_that(vlan1.number, equal_to(1))
assert_that(vlan1.name, equal_to("default"))
assert_that(vlan1.ips, has_length(0))
assert_that(vlan1.vrf_forwarding, is_(none()))
assert_that(vlan201.number, equal_to(201))
assert_that(vlan201.name, equal_to(None))
assert_that(vlan201.ips, has_length(3))
assert_that(vlan201.vrf_forwarding, is_("SHIZZLE"))
assert_that(vlan201.icmp_redirects, equal_to(False))
assert_that(vlan2222.number, equal_to(2222))
assert_that(vlan2222.name, equal_to("your-name-is-way-too-long-for-t"))
assert_that(vlan2222.ips, has_length(0))
assert_that(vlan2222.icmp_redirects, equal_to(True))
assert_that(vlan3333.number, equal_to(3333))
assert_that(vlan3333.name, equal_to("some-name"))
assert_that(vlan3333.ips, has_length(0))
vrrp_group1, vrrp_group2 = vlan201.vrrp_groups
assert_that(len(vrrp_group1.ips), equal_to(1))
assert_that(vrrp_group1.ips[0], equal_to(IPAddress('1.1.1.2')))
assert_that(vrrp_group1.hello_interval, equal_to(5))
assert_that(vrrp_group1.dead_interval, equal_to(15))
assert_that(vrrp_group1.priority, equal_to(110))
assert_that(vrrp_group1.track_id, equal_to('ethernet 1/1'))
assert_that(vrrp_group1.track_decrement, equal_to(50))
assert_that(len(vrrp_group2.ips), equal_to(2))
assert_that(vrrp_group2.ips[0], equal_to(IPAddress('1.1.1.3')))
assert_that(vrrp_group2.ips[1], equal_to(IPAddress('1.1.1.4')))
assert_that(vrrp_group2.hello_interval, equal_to(5))
assert_that(vrrp_group2.dead_interval, equal_to(15))
assert_that(vrrp_group2.priority, equal_to(110))
assert_that(vrrp_group2.track_id, equal_to('ethernet 1/1'))
assert_that(vrrp_group2.track_decrement, equal_to(50))
assert_that(len(vlan201.dhcp_relay_servers), equal_to(2))
assert_that(str(vlan201.dhcp_relay_servers[0]), equal_to('10.10.10.1'))
assert_that(str(vlan201.dhcp_relay_servers[1]), equal_to('10.10.10.2'))
def test_get_vlan_with_no_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1750").once().ordered().and_return(
vlan_display(1750)
)
vlan = self.switch.get_vlan(1750)
assert_that(vlan.number, is_(1750))
assert_that(vlan.name, is_(None))
assert_that(vlan.access_groups[IN], is_(none()))
assert_that(vlan.access_groups[OUT], is_(none()))
assert_that(vlan.vrf_forwarding, is_(none()))
assert_that(vlan.ips, is_(empty()))
assert_that(vlan.vrrp_groups, is_(empty()))
assert_that(vlan.dhcp_relay_servers, is_(empty()))
def test_get_vlan_with_an_empty_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1750").once().ordered().and_return(
vlan_with_vif_display(1750, 999, name="Shizzle")
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 999").once().ordered().and_return([
"interface ve 999",
"!",
])
vlan = self.switch.get_vlan(1750)
assert_that(vlan.number, is_(1750))
assert_that(vlan.name, is_("Shizzle"))
assert_that(vlan.access_groups[IN], is_(none()))
assert_that(vlan.access_groups[OUT], is_(none()))
assert_that(vlan.vrf_forwarding, is_(none()))
assert_that(vlan.ips, is_(empty()))
assert_that(vlan.vrrp_groups, is_(empty()))
assert_that(vlan.dhcp_relay_servers, is_(empty()))
def test_get_vlan_with_a_full_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1750").once().ordered().and_return(
vlan_with_vif_display(1750, 1750, name="Shizzle")
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1750").once().ordered().and_return([
"interface ve 1750",
" vrf forwarding SHIZZLE",
" ip address 1.1.1.1/24",
" ip address 2.1.1.1/27",
" ip address 1.1.1.9/24 secondary",
" ip access-group ACL-IN in",
" ip access-group ACL-OUT out",
" ip helper-address 10.10.10.1",
" ip helper-address 10.10.10.2",
" ip vrrp-extended auth-type simple-text-auth VLAN201",
" ip vrrp-extended vrid 1",
" backup priority 110 track-priority 50",
" ip-address 1.1.1.2",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
" ip vrrp-extended vrid 2",
" backup priority 110 track-priority 50",
" ip-address 1.1.1.3",
" ip-address 1.1.1.4",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
"!",
])
vlan = self.switch.get_vlan(1750)
assert_that(vlan.number, is_(1750))
assert_that(vlan.name, is_("Shizzle"))
assert_that(vlan.access_groups[IN], is_("ACL-IN"))
assert_that(vlan.access_groups[OUT], is_("ACL-OUT"))
assert_that(vlan.vrf_forwarding, is_("SHIZZLE"))
assert_that(vlan.ips, has_length(3))
assert_that(vlan.icmp_redirects, equal_to(True))
vrrp_group1, vrrp_group2 = vlan.vrrp_groups
assert_that(len(vrrp_group1.ips), equal_to(1))
assert_that(vrrp_group1.ips[0], equal_to(IPAddress('1.1.1.2')))
assert_that(vrrp_group1.hello_interval, equal_to(5))
assert_that(vrrp_group1.dead_interval, equal_to(15))
assert_that(vrrp_group1.priority, equal_to(110))
assert_that(vrrp_group1.track_id, equal_to('ethernet 1/1'))
assert_that(vrrp_group1.track_decrement, equal_to(50))
assert_that(len(vrrp_group2.ips), equal_to(2))
assert_that(vrrp_group2.ips[0], equal_to(IPAddress('1.1.1.3')))
assert_that(vrrp_group2.ips[1], equal_to(IPAddress('1.1.1.4')))
assert_that(vrrp_group2.hello_interval, equal_to(5))
assert_that(vrrp_group2.dead_interval, equal_to(15))
assert_that(vrrp_group2.priority, equal_to(110))
assert_that(vrrp_group2.track_id, equal_to('ethernet 1/1'))
assert_that(vrrp_group2.track_decrement, equal_to(50))
assert_that(len(vlan.dhcp_relay_servers), equal_to(2))
assert_that(str(vlan.dhcp_relay_servers[0]), equal_to('10.10.10.1'))
assert_that(str(vlan.dhcp_relay_servers[1]), equal_to('10.10.10.2'))
def test_get_vlan_interface_with_untagged_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1").once().ordered().and_return(
vlan_display(1, 'DEFAULT-VLAN', tagged_port_str="ethe 1/2 ethe 1/23 to 1/24")
)
vlan_interfaces = self.switch.get_vlan_interfaces(1)
assert_that(vlan_interfaces, equal_to(["ethernet 1/2", "ethernet 1/23", "ethernet 1/24"]))
def test_get_vlan_interface_with_tagged_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1").once().ordered().and_return(
vlan_display(1, 'DEFAULT-VLAN', untagged_port_str="ethe 1/2")
)
vlan_interfaces = self.switch.get_vlan_interfaces(1)
assert_that(vlan_interfaces, equal_to(["ethernet 1/2"]))
def test_get_vlan_interface_with_untagged_and_tagged_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1").once().ordered().and_return(
vlan_display(1, 'DEFAULT-VLAN', untagged_port_str="ethe 1/1", tagged_port_str="ethe 1/2 ethe 1/23 to 1/24")
)
vlan_interfaces = self.switch.get_vlan_interfaces(1)
assert_that(vlan_interfaces, equal_to(["ethernet 1/1", "ethernet 1/2", "ethernet 1/23", "ethernet 1/24"]))
def test_get_vlan_interface_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan inexistent").once().ordered().and_return([
"Error: vlan inexistent is not configured"
])
with self.assertRaises(UnknownVlan):
self.switch.get_vlan_interfaces("inexistent")
def test_get_vlan_unknown_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 1750").once().ordered().and_return([
"Error: vlan 1750 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.get_vlan(1750)
assert_that(str(expect.exception), equal_to("Vlan 1750 not found"))
def test_get_vlan_with_both_ip_and_ipv6_vrrp_groups_ipv6_is_ignored(self):
self.shell_mock.should_receive("do").with_args("show vlan 1750").once().ordered().and_return(
vlan_with_vif_display(1750, 1750, name="Shizzle")
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1750").once()\
.ordered().and_return([
'interface ve 1750',
'port-name vrrp-extended vrid 42',
' ip address 10.241.0.33/27',
' no ip redirect',
' ip helper-address 10.10.10.1',
' ip helper-address 10.10.10.2',
' ipv6 address 2001:47c2:19:5::2/64',
' ipv6 address 2001:47c2:19:5::3/64',
' ipv6 nd suppress-ra',
' ip vrrp-extended vrid 42',
' backup priority 130 track-priority 20',
' ip-address 1.1.1.2',
' advertise backup',
' hello-interval 4',
' track-port ethernet 1/3',
' activate',
' ipv6 vrrp-extended vrid 43',
' backup priority 110 track-priority 50',
' ipv6-address 2001:47c2:19:5::1',
' advertise backup',
' hello-interval 5',
' track-port ethernet 1/2',
' activate',
'!'])
vlan = self.switch.get_vlan(1750)
assert_that(vlan.number, is_(1750))
assert_that(vlan.ips, has_length(1))
assert_that(vlan.icmp_redirects, equal_to(False))
assert_that(vlan.vrrp_groups, has_length(1))
vrrp_group1 = vlan.vrrp_groups[0]
assert_that(len(vrrp_group1.ips), equal_to(1))
assert_that(vrrp_group1.ips[0], equal_to(IPAddress('1.1.1.2')))
assert_that(vrrp_group1.hello_interval, equal_to(4))
assert_that(vrrp_group1.priority, equal_to(130))
assert_that(vrrp_group1.track_id, equal_to('ethernet 1/3'))
assert_that(vrrp_group1.track_decrement, equal_to(20))
assert_that(len(vlan.dhcp_relay_servers), equal_to(2))
assert_that(str(vlan.dhcp_relay_servers[0]), equal_to('10.10.10.1'))
assert_that(str(vlan.dhcp_relay_servers[1]), equal_to('10.10.10.2'))
def test_get_vlan_with_both_ip_and_ipv6_in_the_same_vrrp_group(self):
self.shell_mock.should_receive("do").with_args("show vlan 1750").once().ordered().and_return(
vlan_with_vif_display(1750, 1750, name="Shizzle")
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1750").once() \
.ordered()\
.and_return(['interface ve 1750',
'port-name vrrp-extended vrid 42',
' ip address 10.241.0.33/27',
' no ip redirect',
' ip helper-address 10.10.10.1',
' ip helper-address 10.10.10.2',
' ipv6 address 2001:47c2:19:5::2/64',
' ipv6 address 2001:47c2:19:5::3/64',
' ipv6 nd suppress-ra',
' ip vrrp-extended vrid 42',
' backup priority 130 track-priority 20',
' ip-address 1.1.1.2',
' advertise backup',
' hello-interval 4',
' track-port ethernet 1/3',
' activate',
' ipv6 vrrp-extended vrid 42',
' backup priority 170 track-priority 40',
' ipv6-address 2001:47c2:19:5::1',
' advertise backup',
' hello-interval 400',
' track-port ethernet 4/6',
' activate',
'!'])
vlan = self.switch.get_vlan(1750)
assert_that(vlan.number, is_(1750))
assert_that(vlan.ips, has_length(1))
assert_that(vlan.icmp_redirects, equal_to(False))
vrrp_group = vlan.vrrp_groups[0]
assert_that(len(vrrp_group.ips), equal_to(1))
assert_that(vrrp_group.ips[0], equal_to(IPAddress('1.1.1.2')))
assert_that(vrrp_group.hello_interval, equal_to(4))
assert_that(vrrp_group.priority, equal_to(130))
assert_that(vrrp_group.track_id, equal_to('ethernet 1/3'))
assert_that(vrrp_group.track_decrement, equal_to(20))
def test_add_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").and_return([
"Error: vlan 2999 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999 name Gertrude").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_vlan(2999, name="Gertrude")
def test_add_vlan_bad_number(self):
self.shell_mock.should_receive("do").with_args("show vlan 5000").and_return([
"Error: vlan 5000 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 5000 name Gertrude").once().ordered().and_return([
"Error: vlan id 4091 is outside of allowed max of 4090"
])
self.shell_mock.should_receive("do").with_args("exit").once().ordered()
with self.assertRaises(BadVlanNumber) as expect:
self.switch.add_vlan(5000, name="Gertrude")
assert_that(str(expect.exception), equal_to("Vlan number is invalid"))
def test_add_vlan_bad_name(self):
self.shell_mock.should_receive("do").with_args("show vlan 5000").and_return([
"Error: vlan 5000 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 5000 name Gertr ude").once().ordered().and_return([
"Invalid input -> ude"
])
self.shell_mock.should_receive("do").with_args("exit").once().ordered()
with self.assertRaises(BadVlanName) as expect:
self.switch.add_vlan(5000, name="Gertr ude")
assert_that(str(expect.exception), equal_to("Vlan name is invalid"))
def test_add_vlan_no_name(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").and_return([
"Error: vlan 2999 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_vlan(2999)
def test_add_vlan_already_exist_fails(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").and_return(
vlan_display(2999)
)
with self.assertRaises(VlanAlreadyExist) as expect:
self.switch.add_vlan(2999)
assert_that(str(expect.exception), equal_to("Vlan 2999 already exists"))
def test_remove_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).once().ordered()
self.switch.remove_vlan(2999)
def test_remove_vlan_invalid_vlan_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return([
"Error: vlan 2999 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").never()
with self.assertRaises(UnknownVlan) as expect:
self.switch.remove_vlan(2999)
assert_that(str(expect.exception), equal_to("Vlan 2999 not found"))
def test_set_access_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("untagged ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_access_vlan("ethernet 1/4", vlan=2999)
def test_set_access_vlan_invalid_vlan_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return([
"Error: vlan 2999 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.set_access_vlan("ethernet 1/4", vlan=2999)
assert_that(str(expect.exception), equal_to("Vlan 2999 not found"))
def test_set_access_vlan_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("untagged ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999'
'Type ? for a list'
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(UnknownInterface) as expect:
self.switch.set_access_vlan("ethernet 9/999", vlan=2999)
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_reset_interfaces_works(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 1/4").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("no interface ethernet 1/4").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("exit").once().ordered()
self.switch.reset_interface("ethernet 1/4")
def test_reset_interfaces_on_invalid_input_raises_unknown_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999',
'Type ? for a list'])
with self.assertRaises(UnknownInterface):
self.switch.reset_interface("ethernet 9/999")
def test_reset_interfaces_on_invalid_interface_raises_unknown_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 1/64").once().ordered().and_return([
'Error - invalid interface 1/64'])
with self.assertRaises(UnknownInterface):
self.switch.reset_interface("ethernet 1/64")
def test_reset_interfaces_on_invalid_slot_raises_unknown_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 2/1").once().ordered().and_return([
'Error - interface 2/1 is not an ETHERNET interface'])
with self.assertRaises(UnknownInterface):
self.switch.reset_interface("ethernet 2/1")
def test_reset_interfaces_cleans_tagged_vlans(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 1/4").and_return(['VLAN: 1200 Untagged',
'VLAN: 1201 Tagged'])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 1200").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("no untagged ethernet 1/4").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 1201").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("no tagged ethernet 1/4").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no interface ethernet 1/4").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).once().ordered()
self.switch.reset_interface("ethernet 1/4")
def test_unset_interface_access_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan brief | include ethe 1/4").once().ordered().and_return([
"1202 your-name- 1202 - Untagged Ports : ethe 1/10"
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 1202").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no untagged ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.unset_interface_access_vlan("ethernet 1/4")
def test_unset_interface_access_vlan_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan brief | include ethe 9/999").once().ordered().and_return([])
with self.assertRaises(UnknownInterface) as expect:
self.switch.unset_interface_access_vlan("ethernet 9/999")
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_set_access_mode_does_nothing_if_nothing_is_set(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 1/4").once().ordered().and_return([
"VLAN: 1 Untagged"
])
self.shell_mock.should_receive("do").with_args("configure terminal").never()
self.switch.set_access_mode("ethernet 1/4")
def test_set_access_mode_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999'
'Type ? for a list'
])
with self.assertRaises(UnknownInterface) as expect:
self.switch.set_access_mode("ethernet 9/999")
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_set_access_mode_does_nothing_if_only_an_untagged_vlan_not_knowing_if_it_is_an_access_or_native(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 1/4").once().ordered().and_return([
"VLAN: 123 Untagged"
])
self.shell_mock.should_receive("do").with_args("configure terminal").never()
self.switch.set_access_mode("ethernet 1/4")
def test_set_access_mode_removes_all_tagged_vlans_and_the_untagged_because_it_is_a_native_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 1/4").once().ordered().and_return([
"VLAN: 100 Tagged",
"VLAN: 300 Untagged",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 100").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no tagged ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 300").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no untagged ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_access_mode("ethernet 1/4")
def test_set_trunk_mode(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 1/4").once().ordered().and_return([
"VLAN: 1 Untagged"
])
self.shell_mock.should_receive("do").with_args("configure terminal").never()
self.switch.set_trunk_mode("ethernet 1/4")
def test_set_trunk_mode_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999'
'Type ? for a list'
])
with self.assertRaises(UnknownInterface) as expect:
self.switch.set_trunk_mode("ethernet 9/999")
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_add_trunk_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("tagged ethernet 1/1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_trunk_vlan("ethernet 1/1", vlan=2999)
def test_add_trunk_vlan_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("tagged ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999'
'Type ? for a list'
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(UnknownInterface) as expect:
self.switch.add_trunk_vlan("ethernet 9/999", vlan=2999)
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_add_trunk_vlan_invalid_vlan_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return([
"Error: vlan 2999 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").never()
with self.assertRaises(UnknownVlan) as expect:
self.switch.add_trunk_vlan("ethernet 1/1", vlan=2999)
assert_that(str(expect.exception), equal_to("Vlan 2999 not found"))
def test_remove_trunk_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no tagged ethernet 1/11").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.remove_trunk_vlan("ethernet 1/11", vlan=2999)
def test_remove_trunk_vlan_invalid_vlan_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return([
"Error: vlan 2999 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.remove_trunk_vlan("ethernet 1/2", vlan=2999)
assert_that(str(expect.exception), equal_to("Vlan 2999 not found"))
def test_remove_trunk_vlan_not_set_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no tagged ethernet 1/14").and_return([
"Error: ports ethe 1/14 are not tagged members of vlan 2999"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(TrunkVlanNotSet) as expect:
self.switch.remove_trunk_vlan("ethernet 1/14", vlan=2999)
assert_that(str(expect.exception), equal_to("Trunk Vlan is not set on interface ethernet 1/14"))
def test_remove_trunk_vlan_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no tagged ethernet 9/999").and_return([
"Invalid input -> 1/99",
"Type ? for a list",
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(UnknownInterface) as expect:
self.switch.remove_trunk_vlan("ethernet 9/999", vlan=2999)
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_set_interface_state_off(self):
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("disable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_interface_state("ethernet 1/4", OFF)
def test_set_interface_state_off_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999'
'Type ? for a list'
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).once().ordered()
with self.assertRaises(UnknownInterface) as expect:
self.switch.set_interface_state("ethernet 9/999", OFF)
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_set_interface_state_on(self):
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_interface_state("ethernet 1/4", ON)
def test_set_interface_state_on_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999'
'Type ? for a list'
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).once().ordered()
with self.assertRaises(UnknownInterface) as expect:
self.switch.set_interface_state("ethernet 9/999", ON)
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_set_interface_native_vlan_on_trunk(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("untagged ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_interface_native_vlan("ethernet 1/4", vlan=2999)
def test_set_interface_native_vlan_on_trunk_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return(
vlan_display(2999)
)
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 2999").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("untagged ethernet 9/999").once().ordered().and_return([
'Invalid input -> 9/999'
'Type ? for a list'
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(UnknownInterface) as expect:
self.switch.set_interface_native_vlan("ethernet 9/999", vlan=2999)
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_set_interface_native_vlan_on_trunk_invalid_vlan_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").once().ordered().and_return([
"Error: vlan 2999 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").never()
with self.assertRaises(UnknownVlan) as expect:
self.switch.set_interface_native_vlan("ethernet 1/4", vlan=2999)
assert_that(str(expect.exception), equal_to("Vlan 2999 not found"))
def test_unset_interface_native_vlan_on_trunk(self):
self.shell_mock.should_receive("do").with_args("show vlan brief | include ethe 1/4").once().ordered().and_return([
"1202 your-name- 1202 - Untagged Ports : ethe 1/10"
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 1202").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no untagged ethernet 1/4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.unset_interface_native_vlan("ethernet 1/4")
def test_unset_interface_native_vlan_on_trunk_invalid_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan brief | include ethe 9/999").once().ordered().and_return([])
with self.assertRaises(UnknownInterface) as expect:
self.switch.unset_interface_native_vlan("ethernet 9/999")
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 9/999"))
def test_add_ip_creates_router_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_display(1234)
)
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("router-interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip address 1.2.3.4/25").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.4/25"))
def test_add_ip_doesnt_creates_router_interface_if_already_created(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 3333)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 3333").once().ordered().and_return([
"interface ve 3333",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 3333").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip address 1.2.3.4/25").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.4/25"))
def test_add_ip_contained_in_a_subnet_already_present_requires_the_keyword_secondary(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/24",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip address 1.2.3.4/25 secondary").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.4/25"))
def test_add_ip_already_defined_elsewhere_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip address 1.2.3.4/25").and_return([
"IP/Port: Errno(6) Duplicate ip address"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(IPNotAvailable) as expect:
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.4/25"))
assert_that(str(expect.exception), equal_to("IP 1.2.3.4/25 is not available in this vlan"))
def test_add_ip_already_a_subnet_of_another_ve(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip address 1.2.3.4/25").and_return([
"IP/Port: Errno(11) ip subnet overlap with another interface"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(IPNotAvailable) as expect:
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.4/25"))
assert_that(str(expect.exception), equal_to("IP 1.2.3.4/25 is not available in this vlan"))
def test_add_ip_already_in_this_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.4/24",
"!",
])
with self.assertRaises(IPAlreadySet) as expect:
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.4/25"))
assert_that(str(expect.exception), equal_to("IP 1.2.3.4/25 is already present in this vlan as None"))
def test_add_ip_already_in_this_interface_as_a_secondary(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.4/24",
" ip address 1.2.3.5/24 secondary",
"!",
])
with self.assertRaises(IPAlreadySet) as expect:
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.5/25"))
assert_that(str(expect.exception), equal_to("IP 1.2.3.5/25 is already present in this vlan as None"))
def test_add_ip_to_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return([
"Error: vlan 1234 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.add_ip_to_vlan(1234, IPNetwork("1.2.3.5/25"))
assert_that(str(expect.exception), equal_to("Vlan 1234 not found"))
def test_remove_ip(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.4/24",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip address 1.2.3.4/24").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.remove_ip_from_vlan(1234, IPNetwork("1.2.3.4/24"))
def test_remove_secondary_ip(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.4/24",
" ip address 1.2.3.5/24 secondary",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip address 1.2.3.5/24").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.remove_ip_from_vlan(1234, IPNetwork("1.2.3.5/24"))
def test_remove_ip_that_has_secondary_ip(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.4/24",
" ip address 1.2.3.5/24 secondary",
" ip address 1.2.3.6/24 secondary",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip address 1.2.3.5/24").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip address 1.2.3.6/24").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip address 1.2.3.4/24").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip address 1.2.3.5/24").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip address 1.2.3.6/24 secondary").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.remove_ip_from_vlan(1234, IPNetwork("1.2.3.4/24"))
def test_remove_unknown_ip_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.4/24",
" ip address 1.2.3.5/24 secondary",
" ip address 1.2.3.6/24 secondary",
"!",
])
with self.assertRaises(UnknownIP) as expect:
self.switch.remove_ip_from_vlan(1234, IPNetwork("5.5.5.5/25"))
assert_that(str(expect.exception), equal_to("IP 5.5.5.5/25 not found"))
def test_remove_known_ip_with_wrong_mask_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.4/24",
" ip address 1.2.3.5/24 secondary",
" ip address 1.2.3.6/24 secondary",
"!",
])
with self.assertRaises(UnknownIP) as expect:
self.switch.remove_ip_from_vlan(1234, IPNetwork("1.2.3.5/25"))
assert_that(str(expect.exception), equal_to("IP 1.2.3.5/25 not found"))
def test_remove_ip_fails_if_there_aint_even_a_router_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_display(1234)
)
with self.assertRaises(UnknownIP) as expect:
self.switch.remove_ip_from_vlan(1234, IPNetwork("1.2.3.4/24"))
assert_that(str(expect.exception), equal_to("IP 1.2.3.4/24 not found"))
def test_remove_ip_on_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return([
"Error: vlan 1234 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.remove_ip_from_vlan(1234, IPNetwork("1.2.3.5/25"))
assert_that(str(expect.exception), equal_to("Vlan 1234 not found"))
def test_set_vlan_vrf_success(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").and_return([
"interface ve 2500",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vrf forwarding MYVRF").once().ordered().and_return([
"Warning: All IPv4 and IPv6 addresses (including link-local) on this interface have been removed"
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_vlan_vrf(2500, "MYVRF")
def test_set_vlan_vrf_incorrect_name(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").and_return([
"interface ve 2500",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vrf forwarding MYVRF").once().ordered().and_return([
"Error - VRF(MYVRF) does not exist or Route-Distinguisher not specified or Address Family not configured"
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(UnknownVrf) as expect:
self.switch.set_vlan_vrf(2500, "MYVRF")
assert_that(str(expect.exception), equal_to("VRF name \"MYVRF\" was not configured."))
def test_set_vlan_vrf_without_interface_creates_it(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_display(2500)
)
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("router-interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vrf forwarding MYVRF").once().ordered().and_return([
"Warning: All IPv4 and IPv6 addresses (including link-local) on this interface have been removed"
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_vlan_vrf(2500, "MYVRF")
def test_set_vlan_vrf_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return([
"Error: vlan 2500 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.set_vlan_vrf(2500, "MYVRF")
assert_that(str(expect.exception), equal_to("Vlan 2500 not found"))
def test_unset_vlan_vrf_success(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").and_return([
"interface ve 2500",
" vrf forwarding MYVRF",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no vrf forwarding MYVRF").once().ordered().and_return([
"Warning: All IPv4 and IPv6 addresses (including link-local) on this interface have been removed"
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.unset_vlan_vrf(2500)
def test_unset_vlan_vrf_not_set(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").and_return([
"interface ve 2500",
"!",
])
with self.assertRaises(VlanVrfNotSet) as expect:
self.switch.unset_vlan_vrf(2500)
assert_that(str(expect.exception), equal_to("VRF is not set on vlan 2500"))
def test_unset_vlan_vrf_from_known_vlan_with_no_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_display(2500)
)
with self.assertRaises(VlanVrfNotSet) as expect:
self.switch.unset_vlan_vrf(2500)
assert_that(str(expect.exception), equal_to("VRF is not set on vlan 2500"))
def test_unset_vlan_vrf_from_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return([
"Error: vlan 2500 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.unset_vlan_vrf(2500)
assert_that(str(expect.exception), equal_to("Vlan 2500 not found"))
def test_set_access_group_creates_router_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_display(2500)
)
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("vlan 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("router-interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip access-group TheAccessGroup in").and_return([
"Warning: An undefined or zero length ACL has been applied. "
"Filtering will not occur for the specified interface VE 2500 (outbound)."
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_vlan_access_group(2500, IN, "TheAccessGroup")
def test_set_access_group_doesnt_creates_router_interface_if_already_created(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 3333)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 3333").once().ordered().and_return([
"interface ve 3333",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 3333").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip access-group TheAccessGroup out").and_return([
"Warning: An undefined or zero length ACL has been applied. "
"Filtering will not occur for the specified interface VE 2500 (outbound)."
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_vlan_access_group(2500, OUT, "TheAccessGroup")
def test_set_access_group_fails_if_switch_says_so(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 3333)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 3333").once().ordered().and_return([
"interface ve 3333",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 3333").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip access-group TheAcc essGroup out").once().ordered().and_return([
"Invalid input -> sss out",
"Type ? for a list"
])
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(InvalidAccessGroupName) as expect:
self.switch.set_vlan_access_group(2500, OUT, "TheAcc essGroup")
assert_that(str(expect.exception), equal_to("Access Group Name is invalid: TheAcc essGroup"))
def test_set_access_group_needs_to_remove_actual_access_group_to_override_it(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").once().ordered().and_return([
"interface ve 2500",
" ip access-group helloThere! in",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip access-group helloThere! in").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip access-group TheAccessGroup in").and_return([
"Warning: An undefined or zero length ACL has been applied. "
"Filtering will not occur for the specified interface VE 2500 (outbound)."
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.set_vlan_access_group(2500, IN, "TheAccessGroup")
def test_set_access_group_to_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return([
"Error: vlan 2500 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.set_vlan_access_group(2500, IN, "TheAccessGroup")
assert_that(str(expect.exception), equal_to("Vlan 2500 not found"))
def test_remove_access_group(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").once().ordered().and_return([
"interface ve 2500",
" ip access-group helloThere! in",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip access-group helloThere! in").and_return([
"Warning: An undefined or zero length ACL has been applied. "
"Filtering will not occur for the specified interface VE 2500 (outbound)."
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.unset_vlan_access_group(2500, IN)
def test_remove_access_group_out(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").once().ordered().and_return([
"interface ve 2500",
" ip access-group Waaaat out",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 2500").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip access-group Waaaat out").and_return([
"Warning: An undefined or zero length ACL has been applied. "
"Filtering will not occur for the specified interface VE 2500 (outbound)."
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.unset_vlan_access_group(2500, OUT)
def test_remove_access_group_unknown_access_group_raises(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_with_vif_display(2500, 2500)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 2500").once().ordered().and_return([
"interface ve 2500",
" ip access-group Waaaat out",
"!",
])
with self.assertRaises(UnknownAccessGroup) as expect:
self.switch.unset_vlan_access_group(2500, IN)
assert_that(str(expect.exception), equal_to("Inbound IP access group not found"))
def test_remove_access_group_fails_if_there_aint_even_a_router_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return(
vlan_display(2500)
)
with self.assertRaises(UnknownAccessGroup) as expect:
self.switch.unset_vlan_access_group(2500, OUT)
assert_that(str(expect.exception), equal_to("Outgoing IP access group not found"))
def test_remove_access_group_on_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 2500").once().ordered().and_return([
"Error: vlan 2500 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.unset_vlan_access_group(2500, OUT)
assert_that(str(expect.exception), equal_to("Vlan 2500 not found"))
def test_get_interfaces(self):
self.shell_mock.should_receive("do").with_args("show interfaces").once().ordered().and_return([
"GigabitEthernet1/1 is down, line protocol is down",
" Hardware is GigabitEthernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Member of VLAN 1999 (untagged), port is in untagged mode, port state is Disabled",
" No port name",
"GigabitEthernet1/2 is disabled, line protocol is down",
" Hardware is GigabitEthernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Member of VLAN 2999 (untagged), 3 L2 VLANS (tagged), port is in dual mode, port state is Disabled",
" Port name is hello",
"GigabitEthernet1/3 is down, line protocol is down",
" Hardware is GigabitEthernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Member of VLAN 1 (untagged), port is in untagged mode, port state is Disabled",
" No port name",
"GigabitEthernet1/4 is disabled, line protocol is down",
" Hardware is GigabitEthernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Member of VLAN 1 (untagged), 1 L2 VLANS (tagged), port is in dual mode (default vlan), port state is Disabled",
" No port name",
"GigabitEthernet1/5 is disabled, line protocol is down",
" Hardware is GigabitEthernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Member of 1 L2 VLAN(S) (tagged), port is in tagged mode, port state is Disabled",
" No port name",
"GigabitEthernet1/6 is disabled, line protocol is down",
" Hardware is GigabitEthernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Member of 1 L2 VLAN(S) (tagged), port is in tagged mode, port state is Disabled",
" No port name",
"Ve1000 is down, line protocol is down",
" Hardware is Virtual Ethernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Port name is Salut",
" Vlan id: 1000",
" Internet address is 0.0.0.0/0, IP MTU 1500 bytes, encapsulation ethernet",
"Ve2000 is down, line protocol is down",
" Hardware is Virtual Ethernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" No port name",
" Vlan id: 2000",
" Internet address is 1.1.1.1/24, IP MTU 1500 bytes, encapsulation ethernet",
"Loopback1 is up, line protocol is up",
" Hardware is Loopback",
" Port name is LOOPBACK",
" Internet address is 108.163.134.4/32, IP MTU 1500 bytes, encapsulation LOOPBACK"
])
self.shell_mock.should_receive("do").with_args("show running-config vlan").once().ordered().and_return([
"spanning-tree",
"!",
"vlan 1 name DEFAULT-VLAN",
" no untagged ethe 1/3",
"!",
"vlan 100",
" tagged ethe 1/2 ethe 1/4 to 1/6",
"!",
"vlan 200",
" tagged ethe 1/2",
"!",
"vlan 300",
" tagged ethe 1/2",
"!",
"vlan 1999",
" untagged ethe 1/1",
"!",
"vlan 2999",
" untagged ethe 1/2",
"!",
"!"
])
result = self.switch.get_interfaces()
if1, if2, if3, if4, if5, if6 = result
assert_that(if1.name, equal_to("ethernet 1/1"))
assert_that(if1.shutdown, equal_to(False))
assert_that(if1.port_mode, equal_to(ACCESS))
assert_that(if1.access_vlan, equal_to(1999))
assert_that(if1.trunk_native_vlan, equal_to(None))
assert_that(if1.trunk_vlans, equal_to([]))
assert_that(if2.name, equal_to("ethernet 1/2"))
assert_that(if2.shutdown, equal_to(True))
assert_that(if2.port_mode, equal_to(TRUNK))
assert_that(if2.access_vlan, equal_to(None))
assert_that(if2.trunk_native_vlan, equal_to(2999))
assert_that(if2.trunk_vlans, equal_to([100, 200, 300]))
assert_that(if3.name, equal_to("ethernet 1/3"))
assert_that(if3.port_mode, equal_to(ACCESS))
assert_that(if3.access_vlan, equal_to(None))
assert_that(if3.trunk_native_vlan, equal_to(None))
assert_that(if3.trunk_vlans, equal_to([]))
assert_that(if4.name, equal_to("ethernet 1/4"))
assert_that(if4.port_mode, equal_to(TRUNK))
assert_that(if4.access_vlan, equal_to(None))
assert_that(if4.trunk_native_vlan, equal_to(None))
assert_that(if4.trunk_vlans, equal_to([100]))
assert_that(if5.trunk_vlans, equal_to([100]))
assert_that(if6.trunk_vlans, equal_to([100]))
def test_get_interface(self):
self.shell_mock.should_receive("do").with_args("show interfaces ethernet 1/2").once().ordered().and_return([
"GigabitEthernet1/2 is disabled, line protocol is down",
" Hardware is GigabitEthernet, address is 0000.0000.0000 (bia 0000.0000.0000,",
" Member of VLAN 2999 (untagged), 3 L2 VLANS (tagged), port is in dual mode, port state is Disabled",
" Port name is hello"
])
self.shell_mock.should_receive("do").with_args("show running-config vlan").once().ordered().and_return([
"spanning-tree",
"!",
"vlan 1 name DEFAULT-VLAN",
" no untagged ethe 1/3",
"!",
"vlan 100",
" tagged ethe 1/2 ethe 1/4 to 1/6",
"!",
"vlan 200",
" tagged ethe 1/2",
"!",
"vlan 300",
" tagged ethe 1/2",
"!",
"vlan 1999",
" untagged ethe 1/1",
"!",
"vlan 2999",
" untagged ethe 1/2",
"!",
"!"
])
interface = self.switch.get_interface("ethernet 1/2")
assert_that(interface.name, equal_to("ethernet 1/2"))
assert_that(interface.shutdown, equal_to(True))
assert_that(interface.port_mode, equal_to(TRUNK))
assert_that(interface.access_vlan, equal_to(None))
assert_that(interface.trunk_native_vlan, equal_to(2999))
assert_that(interface.trunk_vlans, equal_to([100, 200, 300]))
def test_get_nonexistent_interface_raises(self):
self.shell_mock.should_receive("do").with_args("show interfaces ethernet 1/1999").once().ordered().and_return([
"Invalid input -> 1/1999",
"Type ? for a list"
])
self.shell_mock.should_receive("do").with_args("show running-config vlan").never()
with self.assertRaises(UnknownInterface) as expect:
self.switch.get_interface("ethernet 1/1999")
assert_that(str(expect.exception), equal_to("Unknown interface ethernet 1/1999"))
def test_add_vrrp_success_single_ip(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority 50").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip-address 1.2.3.4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("hello-interval 5").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("dead-interval 15").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("advertise backup").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("track-port ethernet 1/1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("activate").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement=50)
def test_add_vrrp_success_multiple_ip(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority 50").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip-address 1.2.3.4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip-address 1.2.3.5").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("hello-interval 5").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("dead-interval 15").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("advertise backup").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("track-port ethernet 1/1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("activate").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4"), IPAddress("1.2.3.5")], priority=110,
hello_interval=5, dead_interval=15, track_id="ethernet 1/1", track_decrement=50)
def test_add_vrrp_from_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return([
"Error: vlan 1234 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("Vlan 1234 not found"))
def test_add_existing_vrrp_to_same_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip vrrp-extended auth-type simple-text-auth ********",
" ip vrrp-extended vrid 1",
" backup priority 110 track-priority 50",
" ip-address 1.2.3.4",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
"!",
])
with self.assertRaises(VrrpAlreadyExistsForVlan) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("Vrrp group 1 is already in use on vlan 1234"))
def test_add_vrrp_to_vlan_with_another_vrrp(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip vrrp-extended auth-type simple-text-auth ********",
" ip vrrp-extended vrid 1",
" backup priority 110 track-priority 50",
" ip-address 1.2.3.4",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 2").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority 50").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip-address 1.2.3.5").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("hello-interval 5").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("dead-interval 15").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("advertise backup").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("track-port ethernet 1/1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("activate").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_vrrp_group(1234, 2, ips=[IPAddress("1.2.3.5")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement=50)
def test_add_vrrp_with_out_of_range_group_id(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 256").and_return([
"Error - 256 not between 1 and 255"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
with self.assertRaises(BadVrrpGroupNumber) as expect:
self.switch.add_vrrp_group(1234, 256, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("VRRP group number is invalid, must be contained between 1 and 255"))
def test_add_vrrp_with_bad_hello_interval(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority 50").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip-address 1.2.3.4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("hello-interval 100").and_return([
"Error - 100 not between 1 and 84"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(3).ordered().ordered().ordered()
with self.assertRaises(BadVrrpTimers) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=100, dead_interval=15,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("VRRP timers values are invalid"))
def test_add_vrrp_with_bad_dead_interval(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority 50").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip-address 1.2.3.4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("hello-interval 5").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("dead-interval 100").and_return([
"Error - 100 not between 1 and 84"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(3).ordered().ordered().ordered()
with self.assertRaises(BadVrrpTimers) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=100,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("VRRP timers values are invalid"))
def test_add_vrrp_with_bad_priority(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 256 track-priority 50").and_return([
"Error - 256 not between 1 and 255"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(3).ordered().ordered().ordered()
with self.assertRaises(BadVrrpPriorityNumber) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=256, hello_interval=5, dead_interval=100,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("VRRP priority value is invalid, must be contained between 1 and 255"))
def test_add_vrrp_with_bad_priority_type(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority testvalue track-priority 50").and_return([
"Invalid input -> testvalue track-priority 50"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(3).ordered().ordered().ordered()
with self.assertRaises(BadVrrpPriorityNumber) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority='testvalue', hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("VRRP priority value is invalid, must be contained between 1 and 255"))
def test_add_vrrp_with_bad_track_decrement(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority 255").and_return([
"Error - 255 not between 1 and 254"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(3).ordered().ordered().ordered()
with self.assertRaises(BadVrrpTracking) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement=255)
assert_that(str(expect.exception), equal_to("VRRP tracking values are invalid"))
def test_add_vrrp_with_bad_track_decrement_type(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority testvalue").and_return([
"Invalid input -> testvalue"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(3).ordered().ordered().ordered()
with self.assertRaises(BadVrrpTracking) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet 1/1", track_decrement='testvalue')
assert_that(str(expect.exception), equal_to("VRRP tracking values are invalid"))
def test_add_vrrp_with_no_ip_on_interface(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([
"error - please configure ip address before configuring vrrp-extended"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(2).ordered().ordered()
with self.assertRaises(NoIpOnVlanForVrrp) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=100,
track_id="ethernet 1/1", track_decrement=50)
assert_that(str(expect.exception), equal_to("Vlan 1234 needs an IP before configuring VRRP"))
def test_add_vrrp_with_bad_tracking_id(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type simple-text-auth VLAN1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("backup priority 110 track-priority 50").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip-address 1.2.3.4").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("hello-interval 5").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("dead-interval 15").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("advertise backup").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("track-port ethernet not_an_interface").and_return([
"Invalid input -> not_an_interface"
]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).times(3).ordered().ordered().ordered()
with self.assertRaises(BadVrrpTracking) as expect:
self.switch.add_vrrp_group(1234, 1, ips=[IPAddress("1.2.3.4")], priority=110, hello_interval=5, dead_interval=15,
track_id="ethernet not_an_interface", track_decrement=50)
assert_that(str(expect.exception), equal_to("VRRP tracking values are invalid"))
def test_remove_vrrp_success(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip vrrp-extended auth-type simple-text-auth ********",
" ip vrrp-extended vrid 1",
" backup priority 110 track-priority 50",
" ip-address 1.1.1.1",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip vrrp-extended auth-type no-auth").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.remove_vrrp_group(1234, 1)
def test_remove_one_of_two_vrrp_success(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip vrrp-extended auth-type simple-text-auth ********",
" ip vrrp-extended vrid 1",
" backup priority 110 track-priority 50",
" ip-address 1.1.1.1",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
" ip vrrp-extended vrid 2",
" backup priority 110 track-priority 50",
" ip-address 1.1.1.2",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip vrrp-extended vrid 1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.remove_vrrp_group(1234, 1)
def test_remove_vrrp_with_invalid_group_id(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip vrrp-extended auth-type simple-text-auth ********",
" ip vrrp-extended vrid 1",
" backup priority 110 track-priority 50",
" ip-address 1.1.1.1",
" hello-interval 5",
" dead-interval 15",
" advertise backup",
" track-port ethernet 1/1",
" activate",
"!",
])
with self.assertRaises(VrrpDoesNotExistForVlan) as expect:
self.switch.remove_vrrp_group(1234, 2)
assert_that(str(expect.exception), equal_to("Vrrp group 2 does not exist for vlan 1234"))
def test_remove_vrrp_from_unknown_vlan(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return([
"Error: vlan 1234 is not configured"
])
with self.assertRaises(UnknownVlan) as expect:
self.switch.remove_vrrp_group(1234, 2)
assert_that(str(expect.exception), equal_to("Vlan 1234 not found"))
def parse_range_test(self):
result = parse_if_ranges("")
assert_that(list(result), equal_to([]))
result = parse_if_ranges("ethe 1/2")
assert_that(list(result), equal_to(["ethe 1/2"]))
result = parse_if_ranges("ethe 1/1/2 to 1/1/5")
assert_that(list(result), equal_to(["ethe 1/1/2", "ethe 1/1/3", "ethe 1/1/4", "ethe 1/1/5"]))
result = parse_if_ranges("shizzle 1/1 shizzle 1/3 to 1/5 shizzle 1/7")
assert_that(list(result), equal_to(["shizzle 1/1", "shizzle 1/3", "shizzle 1/4", "shizzle 1/5", "shizzle 1/7"]))
@mock.patch("netman.adapters.switches.brocade.SshClient")
def test_connect(self, ssh_client_class_mock):
self.switch = brocade_factory_ssh(SwitchDescriptor(
hostname="my.hostname", username="the_user", password="the_password", model="brocade", port=22), mock.Mock())
self.shell_mock = flexmock()
ssh_client_class_mock.return_value = self.shell_mock
self.shell_mock.should_receive("get_current_prompt").and_return("hostname>").once().ordered()
self.shell_mock.should_receive("do").with_args("enable", wait_for=":").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("the_password").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("skip-page-display").and_return([]).once().ordered()
self.switch.connect()
ssh_client_class_mock.assert_called_with(
host="my.hostname",
username="the_user",
password="the_password",
port=22
)
@mock.patch("netman.adapters.switches.brocade.TelnetClient")
def test_connect_without_port_uses_default(self, telnet_client_class_mock):
self.switch = brocade_factory_telnet(SwitchDescriptor(
hostname="my.hostname", username="the_user", password="the_password", model="brocade"), mock.Mock())
self.shell_mock = flexmock()
telnet_client_class_mock.return_value = self.shell_mock
self.shell_mock.should_receive("get_current_prompt").and_return("hostname>").once().ordered()
self.shell_mock.should_receive("do").with_args("enable", wait_for=":").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("the_password").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("skip-page-display").and_return([]).once().ordered()
self.switch.connect()
telnet_client_class_mock.assert_called_with(
host="my.hostname",
username="the_user",
password="the_password"
)
@mock.patch("netman.adapters.switches.brocade.SshClient")
def test_auto_enabled_switch_doesnt_require_enable(self, ssh_client_class_mock):
self.switch = brocade_factory_ssh(SwitchDescriptor(hostname="my.hostname", username="the_user", password="the_password", model="brocade", port=8000), mock.Mock())
self.shell_mock = flexmock()
ssh_client_class_mock.return_value = self.shell_mock
self.shell_mock.should_receive("get_current_prompt").and_return("hostname#").once().ordered()
self.shell_mock.should_receive("do").with_args("enable", wait_for=": ").never()
self.shell_mock.should_receive("do").with_args("skip-page-display").and_return([]).once().ordered()
self.switch.connect()
ssh_client_class_mock.assert_called_with(
host="my.hostname",
username="the_user",
password="the_password",
port=8000
)
def test_disconnect(self):
logger = flexmock()
self.switch.logger = logger
logger.should_receive("debug")
self.shell_mock.should_receive("quit").with_args("exit").once().ordered()
logger.should_receive("info").with_args("FULL TRANSACTION LOG").once()
self.switch.shell.full_log = "FULL TRANSACTION LOG"
self.switch.disconnect()
def test_transactions_commit_write_memory(self):
self.shell_mock.should_receive("do").with_args("show vlan 2999").and_return([
"Error: vlan 2999 is not configured"
])
self.shell_mock.should_receive("do").with_args("configure terminal").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("vlan 2999 name Gertrude").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("exit").once().ordered().and_return([])
self.switch.start_transaction()
self.switch.add_vlan(2999, name="Gertrude")
self.shell_mock.should_receive("do").with_args("write memory").once().ordered()
self.switch.commit_transaction()
self.switch.end_transaction()
def test_add_dhcp_relay_server(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip helper-address 10.10.10.1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_dhcp_relay_server(1234, IPAddress('10.10.10.1'))
def test_add_second_dhcp_relay_server(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip helper-address 10.10.10.1",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("ip helper-address 10.10.10.2").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.add_dhcp_relay_server(1234, IPAddress('10.10.10.2'))
def test_add_same_dhcp_relay_server_fails(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip helper-address 10.10.10.1",
"!",
])
with self.assertRaises(DhcpRelayServerAlreadyExists) as expect:
self.switch.add_dhcp_relay_server(1234, IPAddress('10.10.10.1'))
assert_that(str(expect.exception), equal_to("DHCP relay server 10.10.10.1 already exists on VLAN 1234"))
def test_remove_dhcp_relay_server(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
" ip helper-address 10.10.10.1",
"!",
])
self.shell_mock.should_receive("do").with_args("configure terminal").once().ordered().and_return([])
self.shell_mock.should_receive("do").with_args("interface ve 1234").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("enable").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("no ip helper-address 10.10.10.1").and_return([]).once().ordered()
self.shell_mock.should_receive("do").with_args("exit").and_return([]).twice().ordered().ordered()
self.switch.remove_dhcp_relay_server(1234, IPAddress('10.10.10.1'))
def test_remove_non_existent_dhcp_relay_server_fails(self):
self.shell_mock.should_receive("do").with_args("show vlan 1234").once().ordered().and_return(
vlan_with_vif_display(1234, 1234)
)
self.shell_mock.should_receive("do").with_args("show running-config interface ve 1234").once().ordered().and_return([
"interface ve 1234",
" ip address 1.2.3.1/27",
"!",
])
with self.assertRaises(UnknownDhcpRelayServer) as expect:
self.switch.remove_dhcp_relay_server(1234, IPAddress('10.10.10.1'))
assert_that(str(expect.exception), equal_to("DHCP relay server 10.10.10.1 not found on VLAN 1234"))
def vlan_with_vif_display(vlan_id, vif_id, name="[None]"):
return vlan_display(vlan_id, name, vif_id=vif_id)
def vlan_display(vlan_id=9, vlan_name="[None]", tagged_port_str=None, untagged_port_str=None, vif_id=None):
ret = [
"PORT-VLAN {}, Name {}, Priority Level -, Priority Force 0, Creation Type STATIC".format(vlan_id, vlan_name),
"Topo HW idx : 81 Topo SW idx: 257 Topo next vlan: 0",
"L2 protocols : STP",
]
if untagged_port_str:
ret.append("Untagged Ports : {}".format(untagged_port_str))
if tagged_port_str:
ret.append("Statically tagged Ports : {}".format(tagged_port_str))
ret.extend([
"Associated Virtual Interface Id: {}".format(vif_id or "NONE"),
"----------------------------------------------------------",
"No ports associated with VLAN",
"Arp Inspection: 0",
"DHCP Snooping: 0",
"IPv4 Multicast Snooping: Disabled",
"IPv6 Multicast Snooping: Disabled",
])
if vif_id:
ret.extend([
"Ve{} is down, line protocol is down".format(vif_id),
" Type is Vlan (Vlan Id: {})".format(vlan_id),
" Hardware is Virtual Ethernet, address is 748e.f8a7.1b01 (bia 748e.f8a7.1b01)",
" No port name",
" Vlan id: {}".format(vlan_id),
" Internet address is 0.0.0.0/0, IP MTU 1500 bytes, encapsulation ethernet",
" Configured BW 0 kbps",
])
else:
ret.append("No Virtual Interfaces configured for this vlan")
return ret
| 52.365559
| 170
| 0.645779
| 16,207
| 121,331
| 4.58993
| 0.032208
| 0.064727
| 0.093495
| 0.134603
| 0.916305
| 0.902781
| 0.884902
| 0.872239
| 0.85682
| 0.846926
| 0
| 0.048238
| 0.201581
| 121,331
| 2,316
| 171
| 52.388169
| 0.719664
| 0.0045
| 0
| 0.6896
| 0
| 0.002667
| 0.22599
| 0.002062
| 0
| 0
| 0
| 0
| 0.136
| 1
| 0.066133
| false
| 0.004267
| 0.007467
| 0.000533
| 0.0752
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
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| 0
| 0
| 0
|
0
| 6
|
294933d7ee4435c7faf58b9337983fadc1b0d19b
| 6,099
|
py
|
Python
|
pypy/module/cpyext/test/test_pystrtod.py
|
m4sterchain/mesapy
|
ed546d59a21b36feb93e2309d5c6b75aa0ad95c9
|
[
"Apache-2.0",
"OpenSSL"
] | 381
|
2018-08-18T03:37:22.000Z
|
2022-02-06T23:57:36.000Z
|
pypy/module/cpyext/test/test_pystrtod.py
|
m4sterchain/mesapy
|
ed546d59a21b36feb93e2309d5c6b75aa0ad95c9
|
[
"Apache-2.0",
"OpenSSL"
] | 16
|
2018-09-22T18:12:47.000Z
|
2022-02-22T20:03:59.000Z
|
pypy/module/cpyext/test/test_pystrtod.py
|
m4sterchain/mesapy
|
ed546d59a21b36feb93e2309d5c6b75aa0ad95c9
|
[
"Apache-2.0",
"OpenSSL"
] | 30
|
2018-08-20T03:16:34.000Z
|
2022-01-12T17:39:22.000Z
|
import math
from pypy.module.cpyext import pystrtod
from pypy.module.cpyext.test.test_api import BaseApiTest, raises_w
from rpython.rtyper.lltypesystem import rffi
from rpython.rtyper.lltypesystem import lltype
from pypy.module.cpyext.pystrtod import PyOS_string_to_double
class TestPyOS_string_to_double(BaseApiTest):
def test_simple_float(self, space):
s = rffi.str2charp('0.4')
null = lltype.nullptr(rffi.CCHARPP.TO)
r = PyOS_string_to_double(space, s, null, None)
assert r == 0.4
rffi.free_charp(s)
def test_empty_string(self, space):
s = rffi.str2charp('')
null = lltype.nullptr(rffi.CCHARPP.TO)
with raises_w(space, ValueError):
PyOS_string_to_double(space, s, null, None)
rffi.free_charp(s)
def test_bad_string(self, space):
s = rffi.str2charp(' 0.4')
null = lltype.nullptr(rffi.CCHARPP.TO)
with raises_w(space, ValueError):
PyOS_string_to_double(space, s, null, None)
rffi.free_charp(s)
def test_overflow_pos(self, space):
s = rffi.str2charp('1e500')
null = lltype.nullptr(rffi.CCHARPP.TO)
r = PyOS_string_to_double(space, s, null, None)
assert math.isinf(r)
assert r > 0
rffi.free_charp(s)
def test_overflow_neg(self, space):
s = rffi.str2charp('-1e500')
null = lltype.nullptr(rffi.CCHARPP.TO)
r = PyOS_string_to_double(space, s, null, None)
assert math.isinf(r)
assert r < 0
rffi.free_charp(s)
def test_overflow_exc(self, space):
s = rffi.str2charp('1e500')
null = lltype.nullptr(rffi.CCHARPP.TO)
with raises_w(space, ValueError):
PyOS_string_to_double(space, s, null, space.w_ValueError)
rffi.free_charp(s)
def test_endptr_number(self, space):
s = rffi.str2charp('0.4')
endp = lltype.malloc(rffi.CCHARPP.TO, 1, flavor='raw')
r = PyOS_string_to_double(space, s, endp, None)
assert r == 0.4
endp_addr = rffi.cast(rffi.LONG, endp[0])
s_addr = rffi.cast(rffi.LONG, s)
assert endp_addr == s_addr + 3
rffi.free_charp(s)
lltype.free(endp, flavor='raw')
def test_endptr_tail(self, space):
s = rffi.str2charp('0.4 foo')
endp = lltype.malloc(rffi.CCHARPP.TO, 1, flavor='raw')
r = PyOS_string_to_double(space, s, endp, None)
assert r == 0.4
endp_addr = rffi.cast(rffi.LONG, endp[0])
s_addr = rffi.cast(rffi.LONG, s)
assert endp_addr == s_addr + 3
rffi.free_charp(s)
lltype.free(endp, flavor='raw')
def test_endptr_no_conversion(self, space):
s = rffi.str2charp('foo')
endp = lltype.malloc(rffi.CCHARPP.TO, 1, flavor='raw')
with raises_w(space, ValueError):
PyOS_string_to_double(space, s, endp, None)
endp_addr = rffi.cast(rffi.LONG, endp[0])
s_addr = rffi.cast(rffi.LONG, s)
assert endp_addr == s_addr
rffi.free_charp(s)
lltype.free(endp, flavor='raw')
class TestPyOS_double_to_string(BaseApiTest):
def test_format_code(self, api):
ptype = lltype.malloc(rffi.INTP.TO, 1, flavor='raw')
r = api.PyOS_double_to_string(150.0, 'e', 1, 0, ptype)
assert '1.5e+02' == rffi.charp2str(r)
type_value = rffi.cast(lltype.Signed, ptype[0])
assert pystrtod.Py_DTST_FINITE == type_value
rffi.free_charp(r)
lltype.free(ptype, flavor='raw')
def test_precision(self, api):
ptype = lltype.malloc(rffi.INTP.TO, 1, flavor='raw')
r = api.PyOS_double_to_string(3.14159269397, 'g', 5, 0, ptype)
assert '3.1416' == rffi.charp2str(r)
type_value = rffi.cast(lltype.Signed, ptype[0])
assert pystrtod.Py_DTST_FINITE == type_value
rffi.free_charp(r)
lltype.free(ptype, flavor='raw')
def test_flags_sign(self, api):
ptype = lltype.malloc(rffi.INTP.TO, 1, flavor='raw')
r = api.PyOS_double_to_string(-3.14, 'g', 3, 1, ptype)
assert '-3.14' == rffi.charp2str(r)
type_value = rffi.cast(lltype.Signed, ptype[0])
assert pystrtod.Py_DTST_FINITE == type_value
rffi.free_charp(r)
lltype.free(ptype, flavor='raw')
def test_flags_add_dot_0(self, api):
ptype = lltype.malloc(rffi.INTP.TO, 1, flavor='raw')
r = api.PyOS_double_to_string(3, 'g', 5, 2, ptype)
assert '3.0' == rffi.charp2str(r)
type_value = rffi.cast(lltype.Signed, ptype[0])
assert pystrtod.Py_DTST_FINITE == type_value
rffi.free_charp(r)
lltype.free(ptype, flavor='raw')
def test_flags_alt(self, api):
ptype = lltype.malloc(rffi.INTP.TO, 1, flavor='raw')
r = api.PyOS_double_to_string(314., 'g', 3, 4, ptype)
assert '314.' == rffi.charp2str(r)
type_value = rffi.cast(lltype.Signed, ptype[0])
assert pystrtod.Py_DTST_FINITE == type_value
rffi.free_charp(r)
lltype.free(ptype, flavor='raw')
def test_ptype_nan(self, api):
ptype = lltype.malloc(rffi.INTP.TO, 1, flavor='raw')
r = api.PyOS_double_to_string(float('nan'), 'g', 3, 4, ptype)
assert 'nan' == rffi.charp2str(r)
type_value = rffi.cast(lltype.Signed, ptype[0])
assert pystrtod.Py_DTST_NAN == type_value
rffi.free_charp(r)
lltype.free(ptype, flavor='raw')
def test_ptype_infinity(self, api):
ptype = lltype.malloc(rffi.INTP.TO, 1, flavor='raw')
r = api.PyOS_double_to_string(1e200 * 1e200, 'g', 0, 0, ptype)
assert 'inf' == rffi.charp2str(r)
type_value = rffi.cast(lltype.Signed, ptype[0])
assert pystrtod.Py_DTST_INFINITE == type_value
rffi.free_charp(r)
lltype.free(ptype, flavor='raw')
def test_ptype_null(self, api):
ptype = lltype.nullptr(rffi.INTP.TO)
r = api.PyOS_double_to_string(3.14, 'g', 3, 0, ptype)
assert '3.14' == rffi.charp2str(r)
assert ptype == lltype.nullptr(rffi.INTP.TO)
rffi.free_charp(r)
| 37.881988
| 70
| 0.624529
| 886
| 6,099
| 4.11851
| 0.110609
| 0.049329
| 0.060565
| 0.049329
| 0.856399
| 0.822417
| 0.785969
| 0.758564
| 0.756372
| 0.746232
| 0
| 0.029987
| 0.24545
| 6,099
| 160
| 71
| 38.11875
| 0.762929
| 0
| 0
| 0.608696
| 0
| 0
| 0.023283
| 0
| 0
| 0
| 0
| 0
| 0.188406
| 1
| 0.123188
| false
| 0
| 0.043478
| 0
| 0.181159
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
296d4245a81dda89f65dda7069ff2c63e222474b
| 287
|
py
|
Python
|
desdeo_tools/solver/__init__.py
|
phoopies/desdeo-tools
|
d3cb48c16b35114762386ee8368214b4b432eee0
|
[
"MIT"
] | 1
|
2022-03-30T17:24:55.000Z
|
2022-03-30T17:24:55.000Z
|
desdeo_tools/solver/__init__.py
|
phoopies/desdeo-tools
|
d3cb48c16b35114762386ee8368214b4b432eee0
|
[
"MIT"
] | 2
|
2022-01-13T04:05:05.000Z
|
2022-03-12T01:07:03.000Z
|
desdeo_tools/solver/__init__.py
|
phoopies/desdeo-tools
|
d3cb48c16b35114762386ee8368214b4b432eee0
|
[
"MIT"
] | null | null | null |
"""This module implements methods for solving scalar valued functions.
"""
__all__ = ["DiscreteMinimizer", "ScalarMethod", "ScalarMinimizer", "ScalarSolverException"]
from desdeo_tools.solver.ScalarSolver import DiscreteMinimizer, ScalarMethod, ScalarMinimizer, ScalarSolverException
| 35.875
| 116
| 0.818815
| 24
| 287
| 9.583333
| 0.833333
| 0.252174
| 0.382609
| 0.565217
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090592
| 287
| 7
| 117
| 41
| 0.881226
| 0.233449
| 0
| 0
| 0
| 0
| 0.306604
| 0.099057
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
|
0
| 6
|
29765d30f6c468ab494ba5307c14ec5427857135
| 146
|
py
|
Python
|
computer_equipment_control/model/__init__.py
|
hugonp/Proyecto-Triples
|
ff4c77e37d49a1674d17f3137ef06b5c56ab9c29
|
[
"Apache-2.0"
] | null | null | null |
computer_equipment_control/model/__init__.py
|
hugonp/Proyecto-Triples
|
ff4c77e37d49a1674d17f3137ef06b5c56ab9c29
|
[
"Apache-2.0"
] | null | null | null |
computer_equipment_control/model/__init__.py
|
hugonp/Proyecto-Triples
|
ff4c77e37d49a1674d17f3137ef06b5c56ab9c29
|
[
"Apache-2.0"
] | null | null | null |
from . import usuario
from . import equipo_cambio
from . import equipo_computo
from . import sucursales
from . import depto
from . import usuario
| 20.857143
| 28
| 0.794521
| 20
| 146
| 5.7
| 0.4
| 0.526316
| 0.298246
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164384
| 146
| 6
| 29
| 24.333333
| 0.934426
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 0
| 0
|
0
| 6
|
4682bbaf850d64b54a79c88a195b6f6e2f183e48
| 114
|
py
|
Python
|
lightnet/data/transform/__init__.py
|
eavise-kul/lightnet
|
d2d5d3fff8f929c3683c34f176217649375b98e1
|
[
"MIT"
] | 6
|
2019-10-10T05:42:50.000Z
|
2022-02-27T04:59:29.000Z
|
lightnet/data/transform/__init__.py
|
eavise-kul/lightnet
|
d2d5d3fff8f929c3683c34f176217649375b98e1
|
[
"MIT"
] | null | null | null |
lightnet/data/transform/__init__.py
|
eavise-kul/lightnet
|
d2d5d3fff8f929c3683c34f176217649375b98e1
|
[
"MIT"
] | 4
|
2020-01-25T20:16:23.000Z
|
2021-04-29T13:02:34.000Z
|
#
# Lightnet data transforms
# Copyright EAVISE
#
from .pre import *
from .post import *
from .util import *
| 12.666667
| 28
| 0.684211
| 14
| 114
| 5.571429
| 0.714286
| 0.25641
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.22807
| 114
| 8
| 29
| 14.25
| 0.886364
| 0.377193
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
31138701c903a02d7a07c3e409e2e717ebba46c9
| 207
|
py
|
Python
|
vega/algorithms/nas/__init__.py
|
wnov/vega
|
bf51cbe389d41033c4ae4bc02e5078c3c247c845
|
[
"MIT"
] | 6
|
2020-11-13T15:44:47.000Z
|
2021-12-02T08:14:06.000Z
|
vega/algorithms/nas/__init__.py
|
JacobLee121/vega
|
19256aca4d047bfad3b461f0a927e1c2abb9eb03
|
[
"MIT"
] | null | null | null |
vega/algorithms/nas/__init__.py
|
JacobLee121/vega
|
19256aca4d047bfad3b461f0a927e1c2abb9eb03
|
[
"MIT"
] | 2
|
2021-06-25T09:42:32.000Z
|
2021-08-06T18:00:09.000Z
|
from .backbone_nas import *
from .adelaide_ea import *
from .sr_ea import *
from .esr_ea import *
from .darts_cnn import *
from .cars import *
from .fis import *
from .auto_lane import *
from .mfkd import *
| 20.7
| 27
| 0.73913
| 33
| 207
| 4.454545
| 0.454545
| 0.544218
| 0.244898
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 207
| 9
| 28
| 23
| 0.859649
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
31220bdb897647890966f63a3b737299ebc02027
| 244
|
py
|
Python
|
bash/src/_func_storage.py
|
BillGatesCat/yf
|
118fdecd7e33cd4970b6250cf88be83e143d7a5f
|
[
"Apache-2.0"
] | 19
|
2020-12-24T04:49:52.000Z
|
2021-02-19T04:58:10.000Z
|
bash/src/_func_storage.py
|
BillGatesCat/yf
|
118fdecd7e33cd4970b6250cf88be83e143d7a5f
|
[
"Apache-2.0"
] | 2
|
2020-12-26T19:02:19.000Z
|
2020-12-26T19:07:11.000Z
|
bash/src/_func_storage.py
|
BillGatesCat/yf
|
118fdecd7e33cd4970b6250cf88be83e143d7a5f
|
[
"Apache-2.0"
] | 2
|
2020-12-28T01:41:03.000Z
|
2021-07-06T19:27:25.000Z
|
class _FuncStorage:
def __init__(self):
self._function_map = {}
def insert_function(self, name, function):
self._function_map[name] = function
def get_all_functions(self):
return self._function_map
| 24.4
| 46
| 0.651639
| 28
| 244
| 5.178571
| 0.464286
| 0.248276
| 0.310345
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.262295
| 244
| 10
| 47
| 24.4
| 0.805556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0
| 0
| 0.142857
| 0.714286
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
3136edb9ff4f65fcd40844fb2d3465f8582e6c6f
| 4,325
|
py
|
Python
|
tests/test_contact_form.py
|
LaudateCorpus1/apostello
|
1ace89d0d9e1f7a1760f6247d90a60a9787a4f12
|
[
"MIT"
] | 69
|
2015-10-03T20:27:53.000Z
|
2021-04-06T05:26:18.000Z
|
tests/test_contact_form.py
|
LaudateCorpus1/apostello
|
1ace89d0d9e1f7a1760f6247d90a60a9787a4f12
|
[
"MIT"
] | 73
|
2015-10-03T17:53:47.000Z
|
2020-10-01T03:08:01.000Z
|
tests/test_contact_form.py
|
LaudateCorpus1/apostello
|
1ace89d0d9e1f7a1760f6247d90a60a9787a4f12
|
[
"MIT"
] | 29
|
2015-10-23T22:00:13.000Z
|
2021-11-30T04:48:06.000Z
|
import pytest
from apostello import models
@pytest.mark.slow
@pytest.mark.django_db
class TestContactForm:
"""Test the sending of SMS."""
def test_number_permissions_staff_exception(self, recipients, users):
"""Test sending a message now."""
calvin = recipients["calvin"]
# check good post:
prof = users["staff"].profile
prof.can_see_contact_nums = False
prof.save()
r = users["c_staff"].post(
f"/api/v2/recipients/{calvin.pk}/",
{
"pk": calvin.pk,
"first_name": calvin.first_name,
"last_name": calvin.last_name,
"number": "+447900000000",
"do_not_reply": calvin.do_not_reply,
},
)
assert r.status_code == 200
calvin.refresh_from_db()
assert calvin.number == "+447900000000"
def test_number_permissions_no_perm(self, recipients, users):
calvin = recipients["calvin"]
r = users["c_in"].post(
f"/api/v2/recipients/{calvin.pk}/",
{
"pk": calvin.pk,
"first_name": calvin.first_name,
"last_name": calvin.last_name,
"number": "+447900000000",
"do_not_reply": calvin.do_not_reply,
},
)
assert r.status_code == 400
assert "You do not have permission to change the number field." in r.json()["errors"]["__all__"]
def test_number_permissions_with_perm(self, recipients, users):
calvin = recipients["calvin"]
# check good post:
prof = users["notstaff2"].profile
prof.can_see_contact_nums = True
prof.save()
r = users["c_in"].post(
f"/api/v2/recipients/{calvin.pk}/",
{
"pk": calvin.pk,
"first_name": calvin.first_name,
"last_name": calvin.last_name,
"number": "+447900000001",
"do_not_reply": calvin.do_not_reply,
},
)
assert r.status_code == 200
calvin.refresh_from_db()
assert calvin.number == "+447900000001"
def test_notes_permissions_staff_exception(self, recipients, users):
"""Test sending a message now."""
calvin = recipients["calvin"]
# check good post:
prof = users["staff"].profile
prof.can_see_contact_notes = False
prof.save()
r = users["c_staff"].post(
f"/api/v2/recipients/{calvin.pk}/",
{
"pk": calvin.pk,
"first_name": calvin.first_name,
"last_name": calvin.last_name,
"number": calvin.number,
"do_not_reply": calvin.do_not_reply,
"notes": "hi there",
},
)
assert r.status_code == 200
calvin.refresh_from_db()
assert calvin.notes == "hi there"
def test_notes_permissions_no_perm(self, recipients, users):
calvin = recipients["calvin"]
r = users["c_in"].post(
f"/api/v2/recipients/{calvin.pk}/",
{
"pk": calvin.pk,
"first_name": calvin.first_name,
"last_name": calvin.last_name,
"do_not_reply": calvin.do_not_reply,
"notes": "hi there",
},
)
assert r.status_code == 400
assert "You do not have permission to change the notes field." in r.json()["errors"]["__all__"]
calvin.refresh_from_db()
assert not (calvin.notes == "hi there")
def test_notes_permissions_with_perm(self, recipients, users):
calvin = recipients["calvin"]
# check good post:
prof = users["notstaff2"].profile
prof.can_see_contact_notes = True
prof.save()
r = users["c_in"].post(
f"/api/v2/recipients/{calvin.pk}/",
{
"pk": calvin.pk,
"first_name": calvin.first_name,
"last_name": calvin.last_name,
"do_not_reply": calvin.do_not_reply,
"notes": "something something",
},
)
assert r.status_code == 200
calvin.refresh_from_db()
assert calvin.notes == "something something"
| 34.6
| 104
| 0.536647
| 472
| 4,325
| 4.673729
| 0.165254
| 0.031732
| 0.054397
| 0.027199
| 0.8835
| 0.872167
| 0.844968
| 0.844968
| 0.822756
| 0.822756
| 0
| 0.030207
| 0.341734
| 4,325
| 124
| 105
| 34.879032
| 0.744643
| 0.034451
| 0
| 0.601852
| 0
| 0
| 0.188838
| 0.044744
| 0
| 0
| 0
| 0
| 0.12037
| 1
| 0.055556
| false
| 0
| 0.018519
| 0
| 0.083333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
31462c4ba41af6d515b3c86cd2798c8806f3724f
| 65,264
|
py
|
Python
|
ismore/plants.py
|
DerekYJC/bmi_python
|
7b9cf3f294a33688db24b0863c1035e9cc6999ea
|
[
"Apache-2.0"
] | null | null | null |
ismore/plants.py
|
DerekYJC/bmi_python
|
7b9cf3f294a33688db24b0863c1035e9cc6999ea
|
[
"Apache-2.0"
] | null | null | null |
ismore/plants.py
|
DerekYJC/bmi_python
|
7b9cf3f294a33688db24b0863c1035e9cc6999ea
|
[
"Apache-2.0"
] | null | null | null |
'''See the shared Google Drive documentation for an inheritance diagram that
shows the relationships between the classes defined in this file.
'''
import numpy as np
import socket
import time
from riglib import source
from ismore import settings, udp_feedback_client
import ismore_bmi_lib
from utils.constants import *
#import armassist
#import rehand
from riglib.filter import Filter
from riglib.plants import Plant
import os
class BasePlantUDP(Plant):
'''
Common UDP interface for the ArmAssist/ReHand
'''
debug = 0
sensor_data_timeout = 1 # seconds. if this number of seconds has passed since sensor data was received, velocity commands will not be sent
lpf_vel = 0
# define in subclasses!
ssm_cls = None
addr = None
feedback_data_cls = None
data_source_name = None
n_dof = None
blocking_joints = None
safety_grid = None
feedback_str = ''
def __init__(self, *args, **kwargs):
self.source = source.DataSource(self.feedback_data_cls, bufferlen=5, name=self.data_source_name)
self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) # used only for sending
ssm = self.ssm_cls()
self.pos_state_names = [s.name for s in ssm.states if s.order == 0]
self.vel_state_names = [s.name for s in ssm.states if s.order == 1]
self.aa_xy_ix = [i for i, j in enumerate(ssm.states) if j.name in ['aa_px', 'aa_py']]
self.aa_psi_ix = [i for i, j in enumerate(ssm.states) if j.name == 'aa_ppsi']
self.rh_pron_ix = [i for i, j in enumerate(ssm.states) if j.name == 'rh_pprono']
self.rh_pfings = [(i, j.name) for i, j in enumerate(ssm.states) if j.name in ['rh_pthumb', 'rh_pindex', 'rh_pfing3']]
self.drive_velocity_raw = np.zeros((len(self.vel_state_names),))
self.drive_velocity_raw_fb_gain = np.zeros((len(self.vel_state_names),))
self.drive_velocity_sent = np.zeros((len(self.vel_state_names),))
self.drive_velocity_sent_pre_safety = np.zeros((len(self.vel_state_names),))
self.pre_drive_state = np.zeros((len(self.vel_state_names), ))
# low-pass filters to smooth out command velocities
# from scipy.signal import butter
# b, a = butter(5, 0.1) # fifth order, 2 Hz bandpass (assuming 10 Hz update rate)
#omega, H = signal.freqz(b, a)
#plt.figure()
#plt.plot(omega/np.pi, np.abs(H))
# self.vel_command_lpfs = [None] * self.n_dof
# for k in range(self.n_dof):
# self.vel_command_lpfs[k] = Filter(b=b, a=a)
# self.last_sent_vel = np.ones(self.n_dof) * np.nan
# calculate coefficients for a 4th-order Butterworth LPF at 1.5 Hz for kinematic data received from the exo
# fs_synch = 20 #Frequency at which emg and kin data are synchronized
# nyq = 0.5 * fs_synch
# cuttoff_freq = 1.5 / nyq
# bpf_kin_coeffs = butter(4, cuttoff_freq, btype='low')
# self.pos_filt = [None] * self.n_dof
# for k in range(self.n_dof):
# self.pos_filt[k] = Filter(bpf_kin_coeffs[0], bpf_kin_coeffs[1])
def init(self):
from riglib import sink
sink.sinks.register(self.source)
def start(self):
# only start this DataSource after it has been registered with
# the SinkManager singleton (sink.sinks) in the call to init()
self.source.start()
self.ts_start_data = time.time()
def stop(self):
# send a zero-velocity command
self._send_command('SetSpeed %s %s\r' % (self.plant_type, self.pack_vel(np.zeros(self.n_dof))))
self.source.stop()
self.feedback_file.close()
def last_data_ts_arrival(self):
return self.source.read(n_pts=1)['ts_arrival'][0]
def _send_command(self, command):
self.sock.sendto(command, self.addr)
def pack_vel(self, vel):
format_str = "%f " * self.n_dof
return format_str % tuple(vel)
def send_vel(self, vel):
assert len(vel) == self.n_dof
vel = vel.copy()
vel *= self.vel_gain # change the units of the velocity, if necessary
self.last_sent_vel = vel
#command_vel is already fitlered at the task level, no need to filter it again.
#self.last_sent_vel = filt_vel = np.array([self.vel_command_lpfs[k](vel[k]) for k in range(self.n_dof)]).ravel()
if all(v <= 0.00000001 for v in abs(self.last_sent_vel)):
print ('last sent vel')
print (self.last_sent_vel)
if (self.last_data_ts_arrival() == 0) or ((self.last_data_ts_arrival() - time.time()) > self.sensor_data_timeout):
print ("sensor data not received for %s recently enough, not sending velocity command!" % self.plant_type)
return
# squash any velocities which would take joints outside of the rectangular bounding box
current_pos = self.get_pos() * self.vel_gain
projected_pos = current_pos + vel * 0.1
max_reached, = np.nonzero((projected_pos > self.max_pos_vals) * (vel > 0))
min_reached, = np.nonzero((projected_pos < self.min_pos_vals) * (vel < 0))
vel[max_reached] = 0
vel[min_reached] = 0
self._send_command('SetSpeed %s %s\r' % (self.plant_type, self.pack_vel(vel)))
# set max speed limts
faster_than_max_speed, = np.nonzero(np.abs(vel) > self.max_speed)
vel[faster_than_max_speed] = self.max_speed[faster_than_max_speed] * np.sign(vel[faster_than_max_speed])
#if we wanna define some limit values for the rehand use the filt_vel. Otherwise use vel
#self._send_command('SetSpeed %s %s\r' % (self.plant_type, self.pack_vel(filt_vel)))
self._send_command('SetSpeed %s %s\r' % (self.plant_type, self.pack_vel(vel)))
# set max speed limts
faster_than_max_speed, = np.nonzero(np.abs(vel) > self.max_speed)
vel[faster_than_max_speed] = self.max_speed[faster_than_max_speed] * np.sign(vel[faster_than_max_speed])
if self.debug:
print ("input vel")
print (vel)
print ("vel sent to %s" % self.plant_type)
print (vel)
print ("current_pos")
print (current_pos)
print ("projected_pos")
print (projected_pos)
print ("actual velocity")
print (self.get_vel())
if self.lpf_vel:
# squash any velocities which would take joints outside of the rectangular bounding box
current_pos = self.get_pos() * self.vel_gain
projected_pos = current_pos + vel * (1.0/20)
max_reached, = np.nonzero((projected_pos > self.max_pos_vals) * (vel > 0))
min_reached, = np.nonzero((projected_pos < self.min_pos_vals) * (vel < 0))
vel[max_reached] = 0
vel[min_reached] = 0
# set max speed limts
faster_than_max_speed, = np.nonzero(np.abs(vel) > self.max_speed)
vel[faster_than_max_speed] = self.max_speed[faster_than_max_speed] * np.sign(vel[faster_than_max_speed])
if faster_than_max_speed > 0:
print ('faster_than_max_speed')
print (faster_than_max_speed)
if self.debug:
print ("input vel")
print (vel)
print ("vel sent to %s" % self.plant_type)
print (vel)
#print "current_pos"
#print current_pos
#print "projected_pos"
#print projected_pos
#print "actual velocity"
#print self.get_vel()
self._send_command('SetSpeed %s %s\r' % (self.plant_type, self.pack_vel(vel)))
else:
self._send_command('SetSpeed %s %s\r' % (self.plant_type, self.pack_vel(vel)))
# def get_pos(self):
# # udp_feedback_client takes care of converting sensor data to cm or rad, as appropriate for the DOF
# return np.array(tuple(self.source.read(n_pts=1)['data'][self.pos_state_names][0]))
def drive(self, decoder):
vel = decoder['qdot']
vel_bl = vel.copy()
feedback_str = ''
if self.blocking_joints is not None:
vel_bl[self.blocking_joints] = 0
if self.safety_grid is not None:
#If the next position is outside of safety then damp velocity to only go to limit:
pos_pred = decoder['q'] + 0.1*vel_bl
#Make sure predicted AA PX, AA PY within bounds:
xy_change = True
if len(self.aa_xy_ix) > 0:
if self.safety_grid.is_valid_pos(pos_pred[self.aa_xy_ix]) is False:
#If not, make their velocity zero:
vel_bl[self.aa_xy_ix] = 0
xy_change = False
feedback_str = feedback_str+ ' stopping xy from moving'
else:
xy_change = False
# Make sure AA Psi within bounds:
if len(self.aa_psi_ix) > 0:
# If X/Y ok
if xy_change:
mn, mx = self.safety_grid.get_minmax_psi(pos_pred[self.aa_xy_ix])
# If x/y not ok:
else:
mn, mx = self.safety_grid.get_minmax_psi(decoder['q'][self.aa_xy_ix])
# Set psi velocity :
if np.logical_and(pos_pred[self.aa_psi_ix] >= mn, pos_pred[self.aa_psi_ix] <= mx):
pass
else:
vel_bl[self.aa_psi_ix] = 0
feedback_str = feedback_str+ 'stopping psi'
# Make sure RH Prono within bounds (if SSM is only RH, use settings.starting_pos for AAPX, AAPY)
if len(self.rh_pron_ix) > 0:
# If X/Y ok
if xy_change:
mn, mx = self.safety_grid.get_minmax_prono(pos_pred[self.aa_xy_ix])
# If x/y not ok or not moving bc not part of state pace :
else:
if len(self.aa_xy_ix) > 0:
mn, mx = self.safety_grid.get_minmax_prono(decoder['q'][self.aa_xy_ix])
else:
mn, mx = self.safety_grid.get_minmax_prono(settings.starting_pos['aa_px'], settings.starting_pos['aa_py'])
# Set prono velocity :
if np.logical_and(pos_pred[self.rh_pron_ix] >= mn, pos_pred[self.rh_pron_ix] <= mx):
pass
else:
vel_bl[self.rh_pron_ix] = 0
feedback_str = feedback_str+ 'stopping prono'
# Assure RH fingers are within range:
if len(self.rh_pfings) > 0:
for i, (ix, nm) in enumerate(self.rh_pfings):
mn, mx = self.safety_grid.get_rh_minmax(nm)
if np.logical_and(pos_pred[ix] >= mn, pos_pred[ix] <= mx):
pass
else:
vel_bl[ix] = 0
feedback_str = feedback_str+ 'stopping rh fings'
self.feedback_str = feedback_str
self.drive_velocity = vel_bl
self.send_vel(vel_bl)
decoder['q'] = self.get_pos()
def write_feedback(self):
pos_vel = [str(i) for i in np.hstack(( self.get_pos(), self.get_vel() )) ]
#self.feedback_file.write(','.join(pos_vel)+'\n')
if self.feedback_str != '':
self.feedback_file.write(self.feedback_str+ time.ctime() + '\n')
class ArmAssistPlantUDP(BasePlantUDP):
'''Sends velocity commands and receives feedback over UDP. Can be used
with either the real or simulated ArmAssist.
'''
ssm_cls = ismore_bmi_lib.StateSpaceArmAssist
addr = settings.ARMASSIST_UDP_SERVER_ADDR
feedback_data_cls = udp_feedback_client.ArmAssistData
data_source_name = 'armassist'
n_dof = 3
plant_type = 'ArmAssist'
vel_gain = np.array([cm_to_mm, cm_to_mm, rad_to_deg]) # convert units to: [mm/s, mm/s, deg/s]
max_pos_vals = np.array([np.inf, np.inf, np.inf])
min_pos_vals = np.array([-np.inf, -np.inf, -np.inf])
max_speed = np.array([np.inf, np.inf, np.inf])
feedback_file = open(os.path.expandvars('$HOME/code/bmi3d/log/armassist.txt'), 'w')
#max_speed = np.array([40, 60, 20]) # in mm/s and deg/s
#max_speed = np.array([60, 80, 50]) # in mm/s and deg/s
#parameters for kinematics low-pass filtering
from scipy.signal import butter, lfilter
from ismore.filter import Filter
fs_synch = 25 #Frequency at which emg and kin data are synchronized
nyq = 0.5 * fs_synch
cuttoff_freq = 1.5 / nyq
bpf_kin_coeffs = butter(2, cuttoff_freq, btype='low')
n_dof = 3
vel_filter = [None] * n_dof
for k in range(n_dof):
vel_filter[k] = Filter(bpf_kin_coeffs[0], bpf_kin_coeffs[1])
n_getpos_iter= 0
def __init__(self, *args, **kwargs):
super(ArmAssistPlantUDP, self).__init__(*args, **kwargs)
def set_pos_control(self): # position control with global reference system
self._send_command('SetControlMode ArmAssist Position')
def set_global_control(self): #velocity control with global reference system
self._send_command('SetControlMode ArmAssist Global')
def set_trajectory_control(self): #trajectory control with global reference system
self._send_command('SetControlMode ArmAssist Trajectory')
def send_vel(self, vel):
vel = vel.copy()
# units of vel should be: [cm/s, cm/s, rad/s]
assert len(vel) == self.n_dof
# convert units to: [mm/s, mm/s, deg/s] to send them through UDP to the ArmAssist application
vel[0] *= cm_to_mm
vel[1] *= cm_to_mm
vel[2] *= rad_to_deg
# set max speed limts
faster_than_max_speed, = np.nonzero(np.abs(vel) > self.max_speed)
vel[faster_than_max_speed] = self.max_speed[faster_than_max_speed] * np.sign(vel[faster_than_max_speed])
self.debug = True
if self.debug:
# print "vel sent to armassist"
# print vel
if faster_than_max_speed.any() > 0:
print ('faster_than_max_speed')
print (faster_than_max_speed)
print ("speed set to: ")
print (vel)
self._send_command('SetSpeed ArmAssist %f %f %f\r' % tuple(vel))
# get raw position
def get_pos_raw(self):
# udp_feedback_client takes care of converting sensor data to cm or rad, as appropriate for the DOF
#get the last poitns of data of the armassist and low-pass filter
return np.array(tuple(self.source.read(n_pts=1)['data'][self.pos_state_names][0]))
# get filtered position
def get_pos(self):
return np.array(tuple(self.source.read(n_pts=1)['data_filt'][self.pos_state_names][0]))
# calculate vel from raw position
def get_vel_raw(self):
recent_pos_data = self.source.read(n_pts=2)
pos = recent_pos_data['data'][self.pos_state_names]
ts = recent_pos_data['ts']
delta_pos = np.array(tuple(pos[1])) - np.array(tuple(pos[0]))
delta_ts = ts[1] - ts[0]
vel = delta_pos / delta_ts
#filt_vel = np.array([self.vel_command_lpfs[k](vel[k]) for k in range(self.n_dof)]).ravel() #nerea --> to test!
if ts[0] != 0 and any(np.isnan(v) for v in vel):
print ("WARNING -- delta_ts = 0 in AA vel calculation:", vel)
for i in range(3):
if np.isnan(vel[i]):
vel[i] = 0
return vel
#calculate vel from raw position and filter
def get_vel(self):
recent_pos_data = self.source.read(n_pts=2)
pos = recent_pos_data['data'][self.pos_state_names]
ts = recent_pos_data['ts']
delta_pos = np.array(tuple(pos[1])) - np.array(tuple(pos[0]))
delta_ts = ts[1] - ts[0]
vel = delta_pos / delta_ts
if ts[0] != 0 and any(np.isnan(v) for v in vel):
print ("WARNING -- delta_ts = 0 in AA vel calculation:", vel)
for i in range(3):
if np.isnan(vel[i]):
vel[i] = 0
# the first value of the pos because it is always NaN and if a NaN is introduced in the filter, all the following filtered values will be also NaNs
if np.any(np.isnan(vel)):
self.n_getpos_iter = self.n_getpos_iter +1
vel_filt = vel
else:
vel_filt = np.array([self.vel_filter[k](vel[k]) for k in range(self.n_dof)]).ravel()
return vel_filt
def send_pos(self, pos, time):
pos = pos.copy()
# units of vel should be: [cm/s, cm/s, rad/s]
assert len(pos) == 3
# convert units to: [mm/s, mm/s, deg/s]
pos[0] *= cm_to_mm
pos[1] *= cm_to_mm
pos[2] *= rad_to_deg
# mode 1: the forearm angle (psi) stays the same as it is. mode 2: psi will move according to the determined value
mode = 2
pos_command = np.zeros(5)
pos_command[0] = pos[0]
pos_command[1] = pos[1]
pos_command[2] = pos[2]
pos_command[3] = time
pos_command[4] = mode
print ("pos")
print (pos)
print ("time")
print (time)
self._send_command('SetPosition ArmAssist %f %f %f %f %f\r' % tuple(pos_command))
def enable(self):
self._send_command('SetControlMode ArmAssist Global\r')
def disable(self):
self._send_command('SetControlMode ArmAssist Disable\r')
def enable_watchdog(self, timeout_ms):
print ('ArmAssist watchdog not enabled, doing nothing')
def send_traj(self, pos_vel):
pos_vel = pos_vel.copy()
# units of vel should be: [cm/s, cm/s, rad/s]
assert len(pos_vel) == 6
# units to are alread in [mm/s, mm/s, rad/s]
# convert values to integers to reduce noise
#pos_vel_int = np.rint(pos_vel)
pos_vel_int = pos_vel
print ("trajectory sent to AA")
print ("x y psi vx vy vpsi")
print (pos_vel_int)
traj_command = np.zeros(6)
traj_command[0] = pos_vel_int[0]
traj_command[1] = pos_vel_int[1]
traj_command[2] = pos_vel_int[2]
traj_command[3] = pos_vel_int[3]
traj_command[4] = pos_vel_int[4]
traj_command[5] = pos_vel_int[5]
self._send_command('SetTrajectory ArmAssist %d %d %d %d %d %d\r' % tuple(traj_command))
class DummyPlantUDP(object):
drive_velocity_raw = np.array([0,0,0])
drive_velocity_sent = np.array([0,0,0])
drive_velocity_sent_pre_safety = np.array([0,0,0])
pre_drive_state = np.array([0, 0, 0])
def init(self):
pass
def enable(self):
pass
def start(self):
pass
def stop(self):
pass
def write_feedback(self):
pass
def get_pos_raw(self):
return np.array([0,0,0])
def get_pos(self):
return np.array([0,0,0])
def get_vel_raw(self):
return np.array([0,0,0])
def get_vel(self):
return np.array([0,0,0])
class ReHandPlantUDP(BasePlantUDP):
'''Sends velocity commands and receives feedback over UDP. Can be used
with either the real or simulated ReHand.
'''
ssm_cls = ismore_bmi_lib.StateSpaceReHand
addr = settings.REHAND_UDP_SERVER_ADDR
feedback_data_cls = udp_feedback_client.ReHandData
data_source_name = 'rehand'
n_dof = 4
plant_type = 'ReHand'
vel_gain = np.array([rad_to_deg, rad_to_deg, rad_to_deg, rad_to_deg])
max_pos_vals = np.array([60, 60, 60, 90], dtype=np.float64) # degrees
min_pos_vals = np.array([25, 25, 25, 25], dtype=np.float64) # degrees
max_speed = np.array([np.inf, np.inf, np.inf, np.inf], dtype=np.float64) # degrees/sec
#max_speed = np.array([15., 15., 15., 15.], dtype=np.float64) # degrees/sec
feedback_file = open(os.path.expandvars('$HOME/code/bmi3d/log/rehand.txt'), 'w')
def send_vel(self, vel):
vel = vel.copy()
# units of vel should be: [rad/s, rad/s, rad/s, rad/s]
assert len(vel) == self.n_dof
# convert units to: [deg/s, deg/s, deg/s, deg/s]
vel *= rad_to_deg
#filt_vel = np.array([self.vel_command_lpfs[k](vel[k]) for k in range(self.n_dof)]).ravel()
# set max speed limts
faster_than_max_speed, = np.nonzero(np.abs(vel) > self.max_speed)
vel[faster_than_max_speed] = self.max_speed[faster_than_max_speed] * np.sign(vel[faster_than_max_speed])
self.debug = True
if self.debug:
# print 'filt_vel in plants in degrees'
# print filt_vel #*np.array([deg_to_rad, deg_to_rad, deg_to_rad, deg_to_rad])
if faster_than_max_speed.any() > 0:
print ('faster_than_max_speed')
print (faster_than_max_speed)
print ("speed set to: ")
print (vel)
# self.plant.enable() #when we send vel commands always enable the rehand motors
# self._send_command('SystemEnable ReHand\r')
self._send_command('SetSpeed ReHand %f %f %f %f\r' % tuple(vel))
def get_vel_raw(self):
return np.array(tuple(self.source.read(n_pts=1)['data'][self.vel_state_names][0]))
def get_vel(self):
return np.array(tuple(self.source.read(n_pts=1)['data_filt'][self.vel_state_names][0]))
def enable(self):
self._send_command('SystemEnable ReHand\r')
def disable(self):
self._send_command('SystemDisable ReHand\r')
def diff_enable(self,DoFs):
self._send_command('DiffEnable ReHand %i %i %i %i\r' % tuple(DoFs))
def get_enable_state(self):
self._send_command('GetEnableState ReHand\r')
def enable_watchdog(self, timeout_ms):
self._send_command('WatchDogEnable ReHand %d\r' % timeout_ms)
def get_pos_raw(self):
# udp_feedback_client takes care of converting sensor data to cm or rad, as appropriate for the DOF
return np.array(tuple(self.source.read(n_pts=1)['data'][self.pos_state_names][0]))
#get pos filtered
def get_pos(self):
return np.array(tuple(self.source.read(n_pts=1)['data_filt'][self.pos_state_names][0]))
################################################
class BasePlantIsMore(Plant):
# define in subclasses!
aa_plant_cls = None
rh_plant_cls = None
safety_grid = None
both_feedback_str = ''
def __init__(self, *args, **kwargs):
self.aa_plant = self.aa_plant_cls()
self.rh_plant = self.rh_plant_cls()
self.drive_velocity_raw = np.zeros((7,))
self.drive_velocity_sent= np.zeros((7,))
self.drive_velocity_sent_pre_safety = np.zeros((7, ))
self.pre_drive_state = np.zeros((7, ))
self.prev_vel_bl_aa = np.zeros((3, ))*np.NaN
self.prev_vel_bl_rh = np.zeros((4, ))*np.NaN
self.accel_lim_armassist = np.inf #0.8
self.accel_lim_psi = np.inf #0.16
self.accel_lim_rehand = np.inf #0.16
def init(self):
self.aa_plant.init()
self.rh_plant.init()
def start(self):
self.aa_plant.start()
self.rh_plant.start()
self.ts_start_data = time.time()
def stop(self):
self.aa_plant.stop()
self.rh_plant.stop()
def last_data_ts_arrival(self):
return {
'ArmAssist': self.aa_plant.last_data_ts_arrival(),
'ReHand': self.rh_plant.last_data_ts_arrival(),
}
def send_vel(self, vel):
self.aa_plant.send_vel(vel[0:3])
self.rh_plant.send_vel(vel[3:7])
def get_pos_raw(self):
aa_pos = self.aa_plant.get_pos_raw()
rh_pos = self.rh_plant.get_pos_raw()
return np.hstack([aa_pos, rh_pos])
def get_pos(self):
aa_pos = self.aa_plant.get_pos()
rh_pos = self.rh_plant.get_pos()
return np.hstack([aa_pos, rh_pos])
def get_vel_raw(self):
aa_vel = self.aa_plant.get_vel_raw()
rh_vel = self.rh_plant.get_vel_raw()
return np.hstack([aa_vel, rh_vel])
def get_vel(self):
aa_vel = self.aa_plant.get_vel()
rh_vel = self.rh_plant.get_vel()
return np.hstack([aa_vel, rh_vel])
def enable(self):
self.aa_plant.enable()
self.rh_plant.enable()
def disable(self):
self.aa_plant.disable()
self.rh_plant.disable()
def drive(self, decoder):
# print self.aa_plant.aa_xy_ix: [0, 1]
# print self.aa_plant.aa_psi_ix: [2]
# print self.rh_plant.rh_pfings: [0, 1, 2]
# print self.rh_plant.rh_pron_ix: [3]
vel = decoder['qdot']
vel_bl = vel.copy()
current_state = self.get_pos()
self.pre_drive_state = current_state.copy()
self.drive_velocity_raw = vel_bl.copy()
if self.blocking_joints is not None:
vel_bl[self.blocking_joints] = 0
vel_bl_aa0 = vel_bl[0:3].copy()
vel_bl_rh0 = vel_bl[3:7].copy()
### Accel Limit Velocitites ###
# if not np.all(np.isnan(np.hstack((self.prev_vel_bl_aa, self.prev_vel_bl_rh)))):
# aa_output_accel = vel_bl_aa - self.prev_vel_bl_aa
# rh_output_accel = vel_bl_rh - self.prev_vel_bl_rh
# ### AA XY ###
# for i in np.arange(2):
# if aa_output_accel[i] > self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] + self.accel_lim_armassist
# elif aa_output_accel[i] < -1*self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] - self.accel_lim_armassist
# ### AA PSI ###
# if aa_output_accel[2] > self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] + self.accel_lim_psi
# elif aa_output_accel[2] < -1*self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] - self.accel_lim_psi
# ### RH All ###
# for i in np.arange(4):
# if rh_output_accel[i] > self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] + self.accel_lim_rehand
# elif rh_output_accel[i] < -1*self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] - self.accel_lim_rehand
### Add Attractor ###
if self.safety_grid is not None:
attractor_point_aa = self.safety_grid.attractor_point[:3]
attractor_point_rh = self.safety_grid.attractor_point[3:]
vel_bl_aa_pull = self.attractor_speed_const*(attractor_point_aa - current_state[:3])/0.05
vel_bl_rh_pull = self.attractor_speed_const*(attractor_point_rh - current_state[3:])/0.05
vel_bl_aa = vel_bl_aa0 + vel_bl_aa_pull.copy()
vel_bl_rh = vel_bl_rh0 + vel_bl_rh_pull.copy()
else:
vel_bl_aa = vel_bl_aa0
vel_bl_rh = vel_bl_rh0
### LPF Filter Velocities ###
for s, state in enumerate(['aa_vx', 'aa_vy', 'aa_vpsi']):
vel_bl_aa[s] = self.command_lpfs[state](vel_bl_aa[s])
if np.isnan(vel_bl_aa[s]):
vel_bl_aa[s] = 0
for s, state in enumerate(['rh_vthumb', 'rh_vindex', 'rh_vfing3', 'rh_vprono']):
vel_bl_rh[s] = self.command_lpfs[state](vel_bl_rh[s])
if np.isnan(vel_bl_rh[s]):
vel_bl_rh[s] = 0
self.drive_velocity_sent_pre_safety = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
#If the next position is outside of safety then damp velocity to only go to limit:
pos_pred = current_state + 0.05*np.hstack((vel_bl_aa, vel_bl_rh))
pos_pred_aa = pos_pred[0:3]
pos_pred_rh = pos_pred[3:7]
both_feedback_str = ''
if self.safety_grid is not None:
if len(self.aa_plant.aa_xy_ix) > 0:
x_tmp = self.safety_grid.is_valid_pos(pos_pred_aa[self.aa_plant.aa_xy_ix])
if x_tmp == False:
current_pos = current_state[self.aa_plant.aa_xy_ix]
pos_valid = attractor_point_aa[self.aa_plant.aa_xy_ix]
#d_to_valid, pos_valid = self.safety_grid.dist_to_valid_point(current_pos)
vel_bl_aa[self.aa_plant.aa_xy_ix] = self.attractor_speed*(pos_valid - current_pos)/0.05
pos_pred_aa[self.aa_plant.aa_xy_ix] = current_pos + 0.05*vel_bl_aa[self.aa_plant.aa_xy_ix]
#print 'plant adjust: ', vel_bl_aa[self.aa_plant.aa_xy_ix], pos_pred_aa[self.aa_plant.aa_xy_ix]
xy_change = True
# Make sure AA Psi within bounds:
if len(self.aa_plant.aa_psi_ix) > 0:
mn, mx = self.safety_grid.get_minmax_psi(pos_pred_aa[self.aa_plant.aa_xy_ix])
predx, predy= pos_pred_aa[[0, 1]]
# Set psi velocity :
psi_ok = False
if np.logical_and(pos_pred_aa[self.aa_plant.aa_psi_ix] >= mn, pos_pred_aa[self.aa_plant.aa_psi_ix] <= mx):
# Test if globally ok:
global_ok = self.safety_grid.global_hull.hull3d.find_simplex(np.array([predx, predy, pos_pred_aa[2]])) >=0
if global_ok:
psi_ok = True
if psi_ok == False:
# Move psi back to attractor pos:
psi_neutral = attractor_point_aa[self.aa_plant.aa_psi_ix]
vel_bl_aa[self.aa_plant.aa_psi_ix] = self.attractor_speed*(psi_neutral-current_state[self.aa_plant.aa_psi_ix])/0.05
# Make sure RH Prono within bounds (if SSM is only RH, use settings.starting_pos for AAPX, AAPY)
if len(self.rh_plant.rh_pron_ix) > 0:
mn, mx = self.safety_grid.get_minmax_prono(pos_pred_aa[self.aa_plant.aa_xy_ix])
# Set prono velocity :
if np.logical_and(pos_pred_rh[self.rh_plant.rh_pron_ix] >= mn, pos_pred_rh[self.rh_plant.rh_pron_ix] <= mx):
pass
else:
tmp_pos = pos_pred_rh[self.rh_plant.rh_pron_ix]
prono_neutral = attractor_point_rh[self.rh_plant.rh_pron_ix]
vel_bl_rh[self.rh_plant.rh_pron_ix] = self.attractor_speed*(prono_neutral-tmp_pos)/0.05
# Assure RH fingers are within range:
if len(self.rh_plant.rh_pfings) > 0:
for i, (ix, nm) in enumerate(self.rh_plant.rh_pfings):
mn, mx = self.safety_grid.get_rh_minmax(nm)
if np.logical_and(pos_pred_rh[ix] >= mn, pos_pred_rh[ix] <= mx):
pass
else:
tmp_ = pos_pred_rh[ix]
neutral = attractor_point_rh[ix]
vel_bl_rh[ix] = self.attractor_speed*(neutral - tmp_)/0.05
# If in the rest state -- block the arm:
if self.task_state in ['rest', 'prep', 'baseline_check']:
vel_bl_aa[:] = 0
vel_bl_rh[:] = 0
elif self.task_state == 'emg_rest':
scaling = self.rest_emg_output
if scaling <= 0.5:
scaling = 0
else:
scaling = 0.5*scaling
vel_bl_aa = scaling*vel_bl_aa
vel_bl_rh = scaling*vel_bl_rh
max_vel_xy = 10.
vel_bl_aa[vel_bl_aa>max_vel_xy] = max_vel_xy
vel_bl_aa[vel_bl_aa<-1*max_vel_xy] = -1*max_vel_xy
max_vel_ang = 2.
if vel_bl_aa[2] > max_vel_ang:
vel_bl_aa[2] = max_vel_ang
elif vel_bl_aa[2] < -1*max_vel_ang:
vel_bl_aa[2] = -1*max_vel_ang
vel_bl_rh[vel_bl_rh>max_vel_ang] = max_vel_ang
vel_bl_rh[vel_bl_rh<-1*max_vel_ang] = -1*max_vel_ang
if self.blocking_joints is not None:
for j in [0, 1, 2]:
if j in self.blocking_joints:
vel_bl_aa[j] = 0
#print 'blocking vel_bl_aa: ', j
for j in [3, 4, 5, 6]:
if j in self.blocking_joints:
vel_bl_rh[j-3] = 0
#print 'blocking vel_bl_rh: ', j-3
self.both_feedback_str = both_feedback_str
self.aa_plant.send_vel(vel_bl_aa)
self.rh_plant.send_vel(vel_bl_rh)
self.prev_vel_bl_aa = vel_bl_aa.copy()
self.prev_vel_bl_rh = vel_bl_rh.copy()
self.drive_velocity_sent = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
decoder['q'] = self.get_pos()
class IsMorePlantUDP(BasePlantIsMore):
'''Sends velocity commands and receives feedback over UDP. Can be used
with either the real or simulated ArmAssist+ReHand.
'''
aa_plant_cls = ArmAssistPlantUDP
rh_plant_cls = ReHandPlantUDP
def write_feedback(self):
self.aa_plant.feedback_str = self.both_feedback_str
self.aa_plant.write_feedback()
#self.rh_plant.write_feedback()
class IsMorePlantEMGControl(IsMorePlantUDP): # Plant used for the pure EMG control task
def drive(self):
vel_bl = self.drive_velocity_raw
current_state = self.get_pos()
self.pre_drive_state = current_state.copy()
if self.blocking_joints is not None:
vel_bl[self.blocking_joints] = 0
vel_bl_aa0 = vel_bl[0:3].copy()
vel_bl_rh0 = vel_bl[3:7].copy()
### Accel Limit Velocitites ###
# if not np.all(np.isnan(np.hstack((self.prev_vel_bl_aa, self.prev_vel_bl_rh)))):
# aa_output_accel = vel_bl_aa - self.prev_vel_bl_aa
# rh_output_accel = vel_bl_rh - self.prev_vel_bl_rh
# ### AA XY ###
# for i in np.arange(2):
# if aa_output_accel[i] > self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] + self.accel_lim_armassist
# elif aa_output_accel[i] < -1*self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] - self.accel_lim_armassist
# ### AA PSI ###
# if aa_output_accel[2] > self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] + self.accel_lim_psi
# elif aa_output_accel[2] < -1*self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] - self.accel_lim_psi
# ### RH All ###
# for i in np.arange(4):
# if rh_output_accel[i] > self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] + self.accel_lim_rehand
# elif rh_output_accel[i] < -1*self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] - self.accel_lim_rehand
### Add Attractor ###
attractor_point_aa = self.safety_grid.attractor_point[:3]
attractor_point_rh = self.safety_grid.attractor_point[3:]
vel_bl_aa_pull = self.attractor_speed_const*(attractor_point_aa - current_state[:3])/0.05
vel_bl_rh_pull = self.attractor_speed_const*(attractor_point_rh - current_state[3:])/0.05
vel_bl_aa = vel_bl_aa0 + vel_bl_aa_pull.copy()
vel_bl_rh = vel_bl_rh0 + vel_bl_rh_pull.copy()
### LPF Filter Velocities ###
for s, state in enumerate(['aa_vx', 'aa_vy', 'aa_vpsi']):
vel_bl_aa[s] = self.command_lpfs[state](vel_bl_aa[s])
if np.isnan(vel_bl_aa[s]):
vel_bl_aa[s] = 0
for s, state in enumerate(['rh_vthumb', 'rh_vindex', 'rh_vfing3', 'rh_vprono']):
vel_bl_rh[s] = self.command_lpfs[state](vel_bl_rh[s])
if np.isnan(vel_bl_rh[s]):
vel_bl_rh[s] = 0
self.drive_velocity_sent_pre_safety = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
#If the next position is outside of safety then damp velocity to only go to limit:
pos_pred = current_state + 0.05*np.hstack((vel_bl_aa, vel_bl_rh))
pos_pred_aa = pos_pred[0:3]
pos_pred_rh = pos_pred[3:7]
both_feedback_str = ''
if self.safety_grid is not None:
if len(self.aa_plant.aa_xy_ix) > 0:
x_tmp = self.safety_grid.is_valid_pos(pos_pred_aa[self.aa_plant.aa_xy_ix])
if x_tmp == False:
current_pos = current_state[self.aa_plant.aa_xy_ix]
pos_valid = attractor_point_aa[self.aa_plant.aa_xy_ix]
#d_to_valid, pos_valid = self.safety_grid.dist_to_valid_point(current_pos)
vel_bl_aa[self.aa_plant.aa_xy_ix] = self.attractor_speed*(pos_valid - current_pos)/0.05
pos_pred_aa[self.aa_plant.aa_xy_ix] = current_pos + 0.05*vel_bl_aa[self.aa_plant.aa_xy_ix]
#print 'plant adjust: ', vel_bl_aa[self.aa_plant.aa_xy_ix], pos_pred_aa[self.aa_plant.aa_xy_ix]
xy_change = True
# Make sure AA Psi within bounds:
if len(self.aa_plant.aa_psi_ix) > 0:
mn, mx = self.safety_grid.get_minmax_psi(pos_pred_aa[self.aa_plant.aa_xy_ix])
predx, predy= pos_pred_aa[[0, 1]]
# Set psi velocity :
psi_ok = False
if np.logical_and(pos_pred_aa[self.aa_plant.aa_psi_ix] >= mn, pos_pred_aa[self.aa_plant.aa_psi_ix] <= mx):
# Test if globally ok:
global_ok = self.safety_grid.global_hull.hull3d.find_simplex(np.array([predx, predy, pos_pred_aa[2]])) >=0
if global_ok:
psi_ok = True
if psi_ok == False:
# Move psi back to attractor pos:
psi_neutral = attractor_point_aa[self.aa_plant.aa_psi_ix]
vel_bl_aa[self.aa_plant.aa_psi_ix] = self.attractor_speed*(psi_neutral-current_state[self.aa_plant.aa_psi_ix])/0.05
# Make sure RH Prono within bounds (if SSM is only RH, use settings.starting_pos for AAPX, AAPY)
if len(self.rh_plant.rh_pron_ix) > 0:
mn, mx = self.safety_grid.get_minmax_prono(pos_pred_aa[self.aa_plant.aa_xy_ix])
# Set prono velocity :
if np.logical_and(pos_pred_rh[self.rh_plant.rh_pron_ix] >= mn, pos_pred_rh[self.rh_plant.rh_pron_ix] <= mx):
pass
else:
tmp_pos = pos_pred_rh[self.rh_plant.rh_pron_ix]
prono_neutral = attractor_point_rh[self.rh_plant.rh_pron_ix]
vel_bl_rh[self.rh_plant.rh_pron_ix] = self.attractor_speed*(prono_neutral-tmp_pos)/0.05
# Assure RH fingers are within range:
if len(self.rh_plant.rh_pfings) > 0:
for i, (ix, nm) in enumerate(self.rh_plant.rh_pfings):
mn, mx = self.safety_grid.get_rh_minmax(nm)
if np.logical_and(pos_pred_rh[ix] >= mn, pos_pred_rh[ix] <= mx):
pass
else:
tmp_ = pos_pred_rh[ix]
neutral = attractor_point_rh[ix]
vel_bl_rh[ix] = self.attractor_speed*(neutral - tmp_)/0.05
# If in the rest state -- block the arm:
if self.task_state in ['rest', 'prep']:
vel_bl_aa[:] = 0
vel_bl_rh[:] = 0
elif self.task_state == 'emg_rest':
scaling = self.rest_emg_output
if scaling <= 0.5:
scaling = 0
else:
scaling = 0.5*scaling
vel_bl_aa = scaling*vel_bl_aa
vel_bl_rh = scaling*vel_bl_rh
max_vel_xy = 10.
vel_bl_aa[vel_bl_aa>max_vel_xy] = max_vel_xy
vel_bl_aa[vel_bl_aa<-1*max_vel_xy] = -1*max_vel_xy
max_vel_ang = 2.
if vel_bl_aa[2] > max_vel_ang:
vel_bl_aa[2] = max_vel_ang
elif vel_bl_aa[2] < -1*max_vel_ang:
vel_bl_aa[2] = -1*max_vel_ang
vel_bl_rh[vel_bl_rh>max_vel_ang] = max_vel_ang
vel_bl_rh[vel_bl_rh<-1*max_vel_ang] = -1*max_vel_ang
if self.blocking_joints is not None:
for j in [0, 1, 2]:
if j in self.blocking_joints:
vel_bl_aa[j] = 0
#print 'blocking vel_bl_aa: ', j
for j in [3, 4, 5, 6]:
if j in self.blocking_joints:
vel_bl_rh[j-3] = 0
#print 'blocking vel_bl_rh: ', j-3
self.both_feedback_str = both_feedback_str
self.aa_plant.send_vel(vel_bl_aa)
self.rh_plant.send_vel(vel_bl_rh)
self.prev_vel_bl_aa = vel_bl_aa.copy()
self.prev_vel_bl_rh = vel_bl_rh.copy()
self.drive_velocity_sent = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
class IsMorePlantHybridBMI(IsMorePlantUDP): # Plant used for the hybrid (EMG + brain) BMI task.
def __init__(self, *args, **kwargs):
self.drive_velocity_raw_brain = np.zeros((7,))
self.emg_vel_raw_scaled = np.zeros((7,))
super(IsMorePlantHybridBMI, self).__init__(*args, **kwargs)
def drive(self, decoder):
vel = decoder['qdot']
vel_brain = vel.copy()
vel_brain_aa = vel_brain[[0, 1, 2]]
vel_brain_fingers = vel_brain[[3, 4, 5]]
vel_brain_prono = vel_brain[[6]]
self.drive_velocity_raw_brain = vel_brain.copy()
# Use EMG scaled array to scale the output:
vel_emg = self.emg_vel.copy()
vel_emg_scaled = []
for i in range(7):
vel_emg_scaled.append(vel_emg[i]*self.scale_emg_pred_arr[i])
vel_emg_scaled = np.hstack((vel_emg_scaled))
self.emg_vel_raw_scaled = vel_emg_scaled.copy()
vel_emg_aa = vel_emg_scaled[[0, 1, 2]]
vel_emg_fingers = vel_emg_scaled[[3, 4, 5]]
vel_emg_prono = vel_emg_scaled[[6]]
vel_bl_aa = vel_emg_aa*self.emg_weight_aa + vel_brain_aa*(1-self.emg_weight_aa)
vel_bl_fingers = vel_emg_fingers*self.emg_weight_fingers + vel_brain_fingers*(1-self.emg_weight_fingers)
vel_bl_prono = vel_emg_prono*self.emg_weight_prono + vel_brain_prono*(1-self.emg_weight_prono)
vel_bl = np.hstack((vel_bl_aa, vel_bl_fingers, vel_bl_prono))
# Fuse velocities from EMG and neural decoders
#vel_bl = vel_emg*self.emg_weight + vel_brain*(1-self.emg_weight)
self.drive_velocity_raw = vel_bl.copy()
vel_bl_fb_gain = []
for i in range(7):
vel_bl_fb_gain.append(vel_bl[i]*self.fb_vel_gain[i])
vel_bl_fb_gain = np.hstack((vel_bl_fb_gain))
self.drive_velocity_raw_fb_gain = vel_bl_fb_gain.copy()
current_state = self.get_pos()
self.pre_drive_state = current_state.copy()
if self.blocking_joints is not None:
print ('self.blocking_joints --> ', self.blocking_joints)
vel_bl_fb_gain[self.blocking_joints] = 0
vel_bl_aa0 = vel_bl_fb_gain[0:3].copy()
vel_bl_rh0 = vel_bl_fb_gain[3:7].copy()
### Accel Limit Velocitites ###
# if not np.all(np.isnan(np.hstack((self.prev_vel_bl_aa, self.prev_vel_bl_rh)))):
# aa_output_accel = vel_bl_aa - self.prev_vel_bl_aa
# rh_output_accel = vel_bl_rh - self.prev_vel_bl_rh
# ### AA XY ###
# for i in np.arange(2):
# if aa_output_accel[i] > self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] + self.accel_lim_armassist
# elif aa_output_accel[i] < -1*self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] - self.accel_lim_armassist
# ### AA PSI ###
# if aa_output_accel[2] > self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] + self.accel_lim_psi
# elif aa_output_accel[2] < -1*self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] - self.accel_lim_psi
# ### RH All ###
# for i in np.arange(4):
# if rh_output_accel[i] > self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] + self.accel_lim_rehand
# elif rh_output_accel[i] < -1*self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] - self.accel_lim_rehand
### Add Attractor ###
attractor_point_aa = self.safety_grid.attractor_point[:3]
attractor_point_rh = self.safety_grid.attractor_point[3:]
vel_bl_aa_pull = self.attractor_speed_const*(attractor_point_aa - current_state[:3])/0.05
vel_bl_rh_pull = self.attractor_speed_const*(attractor_point_rh - current_state[3:])/0.05
vel_bl_aa = vel_bl_aa0 + vel_bl_aa_pull.copy()
vel_bl_rh = vel_bl_rh0 + vel_bl_rh_pull.copy()
### LPF Filter Velocities ###
for s, state in enumerate(['aa_vx', 'aa_vy', 'aa_vpsi']):
vel_bl_aa[s] = self.command_lpfs[state](vel_bl_aa[s])
if np.isnan(vel_bl_aa[s]):
vel_bl_aa[s] = 0
for s, state in enumerate(['rh_vthumb', 'rh_vindex', 'rh_vfing3', 'rh_vprono']):
vel_bl_rh[s] = self.command_lpfs[state](vel_bl_rh[s])
if np.isnan(vel_bl_rh[s]):
vel_bl_rh[s] = 0
self.drive_velocity_sent_pre_safety = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
#If the next position is outside of safety then damp velocity to only go to limit:
pos_pred = current_state + 0.05*np.hstack((vel_bl_aa, vel_bl_rh))
pos_pred_aa = pos_pred[0:3]
pos_pred_rh = pos_pred[3:7]
both_feedback_str = ''
if self.safety_grid is not None:
if len(self.aa_plant.aa_xy_ix) > 0:
x_tmp = self.safety_grid.is_valid_pos(pos_pred_aa[self.aa_plant.aa_xy_ix])
if x_tmp == False:
print ('false position')
current_pos = current_state[self.aa_plant.aa_xy_ix]
pos_valid = attractor_point_aa[self.aa_plant.aa_xy_ix]
#d_to_valid, pos_valid = self.safety_grid.dist_to_valid_point(current_pos)
vel_bl_aa[self.aa_plant.aa_xy_ix] = self.attractor_speed*(pos_valid - current_pos)/0.05
pos_pred_aa[self.aa_plant.aa_xy_ix] = current_pos + 0.05*vel_bl_aa[self.aa_plant.aa_xy_ix]
#print 'plant adjust: ', vel_bl_aa[self.aa_plant.aa_xy_ix], pos_pred_aa[self.aa_plant.aa_xy_ix]
xy_change = True
# Make sure AA Psi within bounds:
if len(self.aa_plant.aa_psi_ix) > 0:
mn, mx = self.safety_grid.get_minmax_psi(pos_pred_aa[self.aa_plant.aa_xy_ix])
predx, predy= pos_pred_aa[[0, 1]]
# Set psi velocity :
psi_ok = False
if np.logical_and(pos_pred_aa[self.aa_plant.aa_psi_ix] >= mn, pos_pred_aa[self.aa_plant.aa_psi_ix] <= mx):
# Test if globally ok:
#global_ok = self.safety_grid.global_hull.hull3d.find_simplex(np.array([predx, predy, pos_pred_aa[2]])) >=0
global_ok = True
if global_ok:
psi_ok = True
if psi_ok == False:
# Move psi back to attractor pos:
psi_neutral = attractor_point_aa[self.aa_plant.aa_psi_ix]
vel_bl_aa[self.aa_plant.aa_psi_ix] = self.attractor_speed*(psi_neutral-current_state[self.aa_plant.aa_psi_ix])/0.05
# Make sure RH Prono within bounds (if SSM is only RH, use settings.starting_pos for AAPX, AAPY)
if len(self.rh_plant.rh_pron_ix) > 0:
mn, mx = self.safety_grid.get_minmax_prono(pos_pred_aa[self.aa_plant.aa_xy_ix])
# Set prono velocity :
if np.logical_and(pos_pred_rh[self.rh_plant.rh_pron_ix] >= mn, pos_pred_rh[self.rh_plant.rh_pron_ix] <= mx):
pass
else:
tmp_pos = pos_pred_rh[self.rh_plant.rh_pron_ix]
prono_neutral = attractor_point_rh[self.rh_plant.rh_pron_ix]
vel_bl_rh[self.rh_plant.rh_pron_ix] = self.attractor_speed*(prono_neutral-tmp_pos)/0.05
# Assure RH fingers are within range:
if len(self.rh_plant.rh_pfings) > 0:
for i, (ix, nm) in enumerate(self.rh_plant.rh_pfings):
mn, mx = self.safety_grid.get_rh_minmax(nm)
if np.logical_and(pos_pred_rh[ix] >= mn, pos_pred_rh[ix] <= mx):
pass
else:
tmp_ = pos_pred_rh[ix]
neutral = attractor_point_rh[ix]
vel_bl_rh[ix] = self.attractor_speed*(neutral - tmp_)/0.05
# print 'safely adjusting fingers! ', nm, 'min: ', mn, ' max: ', mx, ' pred: ', pos_pred_rh[ix]
# If in the rest state -- block the arm:
if self.task_state in ['rest', 'prep', 'baseline_check']:
vel_bl_aa[:] = 0
vel_bl_rh[:] = 0
elif self.task_state == 'emg_rest':
scaling = self.rest_emg_output
if scaling <= 0.5:
scaling = 0
else:
scaling = 0.5*scaling
vel_bl_aa = scaling*vel_bl_aa
vel_bl_rh = scaling*vel_bl_rh
elif self.task_state == 'rest_back':
vel_bl_aa = vel_bl_aa_pull/self.attractor_speed_const*self.rest_back_attractor_speed
vel_bl_rh = vel_bl_rh_pull/self.attractor_speed_const*self.rest_back_attractor_speed
elif self.task_state in ['drive_to_start', 'drive_to_rest']:
vel_bl_aa = self.back_to_target_speed*(self.drive_to_start_target[:3] - current_state[:3])/0.05
vel_bl_rh = self.back_to_target_speed*(self.drive_to_start_target[3:] - current_state[3:])/0.05
max_vel_xy = 10.
vel_bl_aa[vel_bl_aa>max_vel_xy] = max_vel_xy
vel_bl_aa[vel_bl_aa<-1*max_vel_xy] = -1*max_vel_xy
max_vel_ang = 2.
if vel_bl_aa[2] > max_vel_ang:
vel_bl_aa[2] = max_vel_ang
elif vel_bl_aa[2] < -1*max_vel_ang:
vel_bl_aa[2] = -1*max_vel_ang
vel_bl_rh[vel_bl_rh>max_vel_ang] = max_vel_ang
vel_bl_rh[vel_bl_rh<-1*max_vel_ang] = -1*max_vel_ang
if self.blocking_joints is not None:
for j in [0, 1, 2]:
if j in self.blocking_joints:
vel_bl_aa[j] = 0
#print 'blocking vel_bl_aa: ', j
for j in [3, 4, 5, 6]:
if j in self.blocking_joints:
vel_bl_rh[j-3] = 0
#print 'blocking vel_bl_rh: ', j-3
self.both_feedback_str = both_feedback_str
self.aa_plant.send_vel(vel_bl_aa)
self.rh_plant.send_vel(vel_bl_rh)
self.prev_vel_bl_aa = vel_bl_aa.copy()
self.prev_vel_bl_rh = vel_bl_rh.copy()
self.drive_velocity_sent = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
decoder['q'] = self.get_pos()
class IsMorePlantHybridBMISoftSafety(IsMorePlantHybridBMI):
def drive(self, decoder):
vel = decoder['qdot']
vel_brain = vel.copy()
vel_brain_aa = vel_brain[[0, 1, 2]]
vel_brain_fingers = vel_brain[[3, 4, 5]]
vel_brain_prono = vel_brain[[6]]
self.drive_velocity_raw_brain = vel_brain.copy()
# Use EMG scaled array to scale the output:
vel_emg = self.emg_vel.copy()
vel_emg_scaled = []
for i in range(7):
vel_emg_scaled.append(vel_emg[i]*self.scale_emg_pred_arr[i])
vel_emg_scaled = np.hstack((vel_emg_scaled))
self.emg_vel_raw_scaled = vel_emg_scaled.copy()
vel_emg_aa = vel_emg_scaled[[0, 1, 2]]
vel_emg_fingers = vel_emg_scaled[[3, 4, 5]]
vel_emg_prono = vel_emg_scaled[[6]]
vel_bl_aa = vel_emg_aa*self.emg_weight_aa + vel_brain_aa*(1-self.emg_weight_aa)
vel_bl_fingers = vel_emg_fingers*self.emg_weight_fingers + vel_brain_fingers*(1-self.emg_weight_fingers)
vel_bl_prono = vel_emg_prono*self.emg_weight_prono + vel_brain_prono*(1-self.emg_weight_prono)
vel_bl = np.hstack((vel_bl_aa, vel_bl_fingers, vel_bl_prono))
# Fuse velocities from EMG and neural decoders
#vel_bl = vel_emg*self.emg_weight + vel_brain*(1-self.emg_weight)
self.drive_velocity_raw = vel_bl.copy()
vel_bl_fb_gain = []
for i in range(7):
vel_bl_fb_gain.append(vel_bl[i]*self.fb_vel_gain[i])
vel_bl_fb_gain = np.hstack((vel_bl_fb_gain))
self.drive_velocity_raw_fb_gain = vel_bl_fb_gain.copy()
current_state = self.get_pos()
self.pre_drive_state = current_state.copy()
if self.blocking_joints is not None:
vel_bl_fb_gain[self.blocking_joints] = 0
vel_bl_aa0 = vel_bl_fb_gain[0:3].copy()
vel_bl_rh0 = vel_bl_fb_gain[3:7].copy()
### Accel Limit Velocitites ###
# if not np.all(np.isnan(np.hstack((self.prev_vel_bl_aa, self.prev_vel_bl_rh)))):
# aa_output_accel = vel_bl_aa - self.prev_vel_bl_aa
# rh_output_accel = vel_bl_rh - self.prev_vel_bl_rh
# ### AA XY ###
# for i in np.arange(2):
# if aa_output_accel[i] > self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] + self.accel_lim_armassist
# elif aa_output_accel[i] < -1*self.accel_lim_armassist:
# vel_bl_aa[i] = self.prev_vel_bl_aa[i] - self.accel_lim_armassist
# ### AA PSI ###
# if aa_output_accel[2] > self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] + self.accel_lim_psi
# elif aa_output_accel[2] < -1*self.accel_lim_psi:
# vel_bl_aa[2] = self.prev_vel_bl_aa[2] - self.accel_lim_psi
# ### RH All ###
# for i in np.arange(4):
# if rh_output_accel[i] > self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] + self.accel_lim_rehand
# elif rh_output_accel[i] < -1*self.accel_lim_rehand:
# vel_bl_rh[i] = self.prev_vel_bl_rh[i] - self.accel_lim_rehand
### Add Attractor ###
attractor_point_aa = self.safety_grid.attractor_point[:3]
attractor_point_rh = self.safety_grid.attractor_point[3:]
vel_bl_aa_pull = self.attractor_speed_const*(attractor_point_aa - current_state[:3])/0.05
vel_bl_rh_pull = self.attractor_speed_const*(attractor_point_rh - current_state[3:])/0.05
vel_bl_aa = vel_bl_aa0 + vel_bl_aa_pull.copy()
vel_bl_rh = vel_bl_rh0 + vel_bl_rh_pull.copy()
### LPF Filter Velocities ###
for s, state in enumerate(['aa_vx', 'aa_vy', 'aa_vpsi']):
vel_bl_aa[s] = self.command_lpfs[state](vel_bl_aa[s])
if np.isnan(vel_bl_aa[s]):
vel_bl_aa[s] = 0
for s, state in enumerate(['rh_vthumb', 'rh_vindex', 'rh_vfing3', 'rh_vprono']):
vel_bl_rh[s] = self.command_lpfs[state](vel_bl_rh[s])
if np.isnan(vel_bl_rh[s]):
vel_bl_rh[s] = 0
self.drive_velocity_sent_pre_safety = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
#If the next position is outside of safety then damp velocity to only go to limit:
pos_pred = current_state + 0.05*np.hstack((vel_bl_aa, vel_bl_rh))
pos_pred_aa = pos_pred[0:3]
pos_pred_rh = pos_pred[3:7]
both_feedback_str = ''
if self.safety_grid is not None:
if len(self.aa_plant.aa_xy_ix) > 0:
x_tmp = self.safety_grid.is_valid_pos(pos_pred_aa[self.aa_plant.aa_xy_ix])
if x_tmp == False:
# Find the closest point on the boundary of the safety grid and set velocity in same
# direction, but at 90% of way to get to the edge of the safety grid:
current_pos = current_state[self.aa_plant.aa_xy_ix]
### loop through percentages of velocity and check validity of point:
valid_scale = False
scale = 1.0
while valid_scale is False:
scale -= 0.05
pos_pred_xy = current_pos + 0.05*(vel_bl_aa[self.aa_plant.aa_xy_ix]*scale)
valid_scale = self.safety_grid.is_valid_pos(pos_pred_xy)
if scale < -1.0:
scale = 0.0
break
#d_to_valid, pos_valid = self.safety_grid.dist_to_valid_point(current_pos)
vel_bl_aa[self.aa_plant.aa_xy_ix] = vel_bl_aa[self.aa_plant.aa_xy_ix]*scale
pos_pred_aa[self.aa_plant.aa_xy_ix] = current_pos + 0.05*vel_bl_aa[self.aa_plant.aa_xy_ix]
#print 'plant adjust: ', vel_bl_aa[self.aa_plant.aa_xy_ix], pos_pred_aa[self.aa_plant.aa_xy_ix]
xy_change = True
# Make sure AA Psi within bounds:
if len(self.aa_plant.aa_psi_ix) > 0:
mn, mx = self.safety_grid.get_minmax_psi(pos_pred_aa[self.aa_plant.aa_xy_ix])
predx, predy= pos_pred_aa[[0, 1]]
# Set psi velocity :
psi_ok = False
if np.logical_and(pos_pred_aa[self.aa_plant.aa_psi_ix] >= mn, pos_pred_aa[self.aa_plant.aa_psi_ix] <= mx):
# Test if globally ok:
#global_ok = self.safety_grid.global_hull.hull3d.find_simplex(np.array([predx, predy, pos_pred_aa[2]])) >=0
global_ok = True
if global_ok:
psi_ok = True
if psi_ok == False:
valid_scale_psi = False
scale = 1.0
while valid_scale_psi is False:
scale -= 0.05
psi_pred = current_state[self.aa_plant.aa_psi_ix] + 0.05*(scale*vel_bl_aa[self.aa_plant.aa_psi_ix])
if np.logical_and(psi_pred >= mn, psi_pred <= mx):
valid_scale_psi = True
if scale < -1.0:
scale = 0.0
break
vel_bl_aa[self.aa_plant.aa_psi_ix] = scale*vel_bl_aa[self.aa_plant.aa_psi_ix]
# Make sure RH Prono within bounds (if SSM is only RH, use settings.starting_pos for AAPX, AAPY)
if len(self.rh_plant.rh_pron_ix) > 0:
mn, mx = self.safety_grid.get_minmax_prono(pos_pred_aa[self.aa_plant.aa_xy_ix])
# Set prono velocity :
if np.logical_and(pos_pred_rh[self.rh_plant.rh_pron_ix] >= mn, pos_pred_rh[self.rh_plant.rh_pron_ix] <= mx):
pass
else:
valid_scale_prono = False
scale = 1.0
while valid_scale_prono is False:
scale -= 0.05
pron_pred = pos_pred_rh[self.rh_plant.rh_pron_ix] + 0.05*(scale*vel_bl_rh[self.rh_plant.rh_pron_ix])
if np.logical_and(pron_pred >= mn, pron_pred <= mx):
valid_scale_prono = True
if scale < -1.0:
scale = 0.
break
vel_bl_rh[self.rh_plant.rh_pron_ix] = scale*vel_bl_rh[self.rh_plant.rh_pron_ix]
# Assure RH fingers are within range:
if len(self.rh_plant.rh_pfings) > 0:
for i, (ix, nm) in enumerate(self.rh_plant.rh_pfings):
mn, mx = self.safety_grid.get_rh_minmax(nm)
if np.logical_and(pos_pred_rh[ix] >= mn, pos_pred_rh[ix] <= mx):
pass
else:
finger_scale = False
scale = 1.0
while finger_scale is False:
scale -= 0.05
fing_pred = pos_pred_rh[ix] + 0.05*(scale*vel_bl_rh[ix])
if np.logical_and(fing_pred >= mn, fing_pred<= mx):
finger_scale = True
if scale < -1.0:
scale = 0.0
break
vel_bl_rh[ix] = scale*vel_bl_rh[ix]
# If in the rest state -- block the arm:
if self.task_state in ['rest', 'prep', 'baseline_check', 'wait']:
vel_bl_aa[:] = 0
vel_bl_rh[:] = 0
elif self.task_state == 'emg_rest':
scaling = self.rest_emg_output
if scaling <= 0.5:
scaling = 0
else:
scaling = 0.5*scaling
vel_bl_aa = scaling*vel_bl_aa
vel_bl_rh = scaling*vel_bl_rh
elif self.task_state == 'rest_back':
vel_bl_aa = vel_bl_aa_pull/self.attractor_speed_const*self.rest_back_attractor_speed
vel_bl_rh = vel_bl_rh_pull/self.attractor_speed_const*self.rest_back_attractor_speed
elif self.task_state in ['drive_to_start', 'drive_to_rest']:
vel_bl_aa = self.back_to_target_speed*(self.drive_to_start_target[:3] - current_state[:3])/0.05
vel_bl_rh = self.back_to_target_speed*(self.drive_to_start_target[3:] - current_state[3:])/0.05
max_vel_xy = 10.
vel_bl_aa[vel_bl_aa>max_vel_xy] = max_vel_xy
vel_bl_aa[vel_bl_aa<-1*max_vel_xy] = -1*max_vel_xy
max_vel_ang = 2.
if vel_bl_aa[2] > max_vel_ang:
vel_bl_aa[2] = max_vel_ang
elif vel_bl_aa[2] < -1*max_vel_ang:
vel_bl_aa[2] = -1*max_vel_ang
vel_bl_rh[vel_bl_rh>max_vel_ang] = max_vel_ang
vel_bl_rh[vel_bl_rh<-1*max_vel_ang] = -1*max_vel_ang
if self.blocking_joints is not None:
for j in [0, 1, 2]:
if j in self.blocking_joints:
vel_bl_aa[j] = 0
#print 'blocking vel_bl_aa: ', j
for j in [3, 4, 5, 6]:
if j in self.blocking_joints:
vel_bl_rh[j-3] = 0
#print 'blocking vel_bl_rh: ', j-3
self.both_feedback_str = both_feedback_str
self.aa_plant.send_vel(vel_bl_aa)
self.rh_plant.send_vel(vel_bl_rh)
self.prev_vel_bl_aa = vel_bl_aa.copy()
self.prev_vel_bl_rh = vel_bl_rh.copy()
self.drive_velocity_sent = np.hstack(( vel_bl_aa.copy(), vel_bl_rh.copy()))
decoder['q'] = self.get_pos()
UDP_PLANT_CLS_DICT = {
'ArmAssist': ArmAssistPlantUDP,
'ReHand': ReHandPlantUDP,
'IsMore': IsMorePlantUDP,
'IsMoreEMGControl': IsMorePlantEMGControl,
'IsMoreHybridControl': IsMorePlantHybridBMI,
'IsMorePlantHybridBMISoftSafety': IsMorePlantHybridBMISoftSafety,
'DummyPlant': DummyPlantUDP,
}
###########################
##### Deprecated code #####
###########################
class BasePlant(object):
def __init__(self, *args, **kwargs):
raise NotImplementedError('Implement in subclasses!')
def init(self):
raise NotImplementedError('Implement in subclasses!')
def start(self):
raise NotImplementedError('Implement in subclasses!')
def stop(self):
raise NotImplementedError('Implement in subclasses!')
def last_data_ts_arrival(self):
raise NotImplementedError('Implement in subclasses!')
def send_vel(self, vel):
raise NotImplementedError('Implement in subclasses!')
def get_pos(self):
raise NotImplementedError('Implement in subclasses!')
def get_vel(self):
raise NotImplementedError('Implement in subclasses!')
def enable(self):
'''Disable the device's motor drivers.'''
raise NotImplementedError('Implement in subclasses!')
def disable(self):
'''Disable the device's motor drivers.'''
raise NotImplementedError('Implement in subclasses!')
def enable_watchdog(self, timeout_ms):
raise NotImplementedError('Implement in subclasses!')
def get_intrinsic_coordinates(self):
return self.get_pos()
| 40.637609
| 155
| 0.58412
| 9,615
| 65,264
| 3.636609
| 0.054498
| 0.05491
| 0.036035
| 0.026769
| 0.809672
| 0.784105
| 0.758394
| 0.725276
| 0.706086
| 0.695132
| 0
| 0.016046
| 0.309619
| 65,264
| 1,605
| 156
| 40.662928
| 0.759993
| 0.205611
| 0
| 0.698212
| 0
| 0
| 0.041054
| 0.003083
| 0
| 0
| 0
| 0
| 0.005258
| 1
| 0.076761
| false
| 0.016824
| 0.01367
| 0.01367
| 0.175605
| 0.041009
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
316ab7186375a4578bd0e98836f8f14461a4cb68
| 42
|
py
|
Python
|
WhatSender/__init__.py
|
Shauryasamant/whatsender
|
057a3f971667ea8992d6645645854604c3c4d071
|
[
"Unlicense"
] | 1
|
2022-01-04T10:48:06.000Z
|
2022-01-04T10:48:06.000Z
|
WhatSender/__init__.py
|
Shauryasamant/whatsender
|
057a3f971667ea8992d6645645854604c3c4d071
|
[
"Unlicense"
] | null | null | null |
WhatSender/__init__.py
|
Shauryasamant/whatsender
|
057a3f971667ea8992d6645645854604c3c4d071
|
[
"Unlicense"
] | 2
|
2022-01-05T04:14:28.000Z
|
2022-02-12T07:49:15.000Z
|
from WhatSender.sender import SendMessage
| 21
| 41
| 0.880952
| 5
| 42
| 7.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 42
| 1
| 42
| 42
| 0.973684
| 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
| 1
| 0
|
0
| 6
|
3190a8381415a99ad9460b76cf488e2f1d88f6df
| 2,202
|
py
|
Python
|
tests/it/test_docker_image_tag.py
|
gfi-centre-ouest/docker-devbox-ddb
|
1597d85ef6e9e8322cce195a454de54186ce9ec7
|
[
"MIT"
] | 4
|
2020-06-11T20:54:47.000Z
|
2020-09-22T13:07:17.000Z
|
tests/it/test_docker_image_tag.py
|
gfi-centre-ouest/docker-devbox-ddb
|
1597d85ef6e9e8322cce195a454de54186ce9ec7
|
[
"MIT"
] | 113
|
2019-11-07T00:40:36.000Z
|
2021-01-18T12:50:16.000Z
|
tests/it/test_docker_image_tag.py
|
inetum-orleans/docker-devbox-ddb
|
20c713cf7bfcaf289226a17a9648c17d16003b4d
|
[
"MIT"
] | null | null | null |
import os
import zipfile
import yaml
from dotty_dict import Dotty
from pytest_mock import MockerFixture
from ddb.__main__ import main
from ddb.config import Config
from ddb.feature.version import is_git_repository
class TestDockerImageTag:
def test_image_tag_from_git_tag_jsonnet(self, project_loader, mocker: MockerFixture):
Config.defaults = None
mocker.patch('ddb.feature.version.is_git_repository', is_git_repository)
project_loader("image_tag_from_git_tag")
if os.path.exists("repo.zip"):
with zipfile.ZipFile("repo.zip", 'r') as zip_ref:
zip_ref.extractall(".")
main(["configure"])
assert os.path.exists("docker-compose.yml")
with open("docker-compose.yml") as f:
docker_compose = yaml.load(f, yaml.SafeLoader)
assert Dotty(docker_compose).get('services.node.image') == 'some-registry/node:some-tag'
def test_image_tag_from_git_branch_jsonnet(self, project_loader, mocker: MockerFixture):
Config.defaults = None
mocker.patch('ddb.feature.version.is_git_repository', is_git_repository)
project_loader("image_tag_from_git_branch")
if os.path.exists("repo.zip"):
with zipfile.ZipFile("repo.zip", 'r') as zip_ref:
zip_ref.extractall(".")
main(["configure"])
with open("docker-compose.yml") as f:
docker_compose = yaml.load(f, yaml.SafeLoader)
assert Dotty(docker_compose).get('services.node.image') == 'some-registry/node:some-branch'
def test_image_tag_from_git_disabled_jsonnet(self, project_loader, mocker: MockerFixture):
Config.defaults = None
mocker.patch('ddb.feature.version.is_git_repository', is_git_repository)
project_loader("image_tag_from_git_disabled")
if os.path.exists("repo.zip"):
with zipfile.ZipFile("repo.zip", 'r') as zip_ref:
zip_ref.extractall(".")
main(["configure"])
with open("docker-compose.yml") as f:
docker_compose = yaml.load(f, yaml.SafeLoader)
assert Dotty(docker_compose).get('services.node.image') == 'some-registry/node'
| 33.363636
| 103
| 0.672116
| 284
| 2,202
| 4.971831
| 0.204225
| 0.092068
| 0.074363
| 0.063739
| 0.828612
| 0.804533
| 0.75779
| 0.75779
| 0.75779
| 0.75779
| 0
| 0
| 0.212534
| 2,202
| 65
| 104
| 33.876923
| 0.814302
| 0
| 0
| 0.55814
| 0
| 0
| 0.213442
| 0.1099
| 0
| 0
| 0
| 0
| 0.093023
| 1
| 0.069767
| false
| 0
| 0.186047
| 0
| 0.27907
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
31a8e14670c16c328e5688e740eae92822649a17
| 6,872
|
py
|
Python
|
tests/test_loop_seer.py
|
Kyle-Kyle/angr
|
345b2131a7a67e3a6ffc7d9fd475146a3e12f837
|
[
"BSD-2-Clause"
] | 6,132
|
2015-08-06T23:24:47.000Z
|
2022-03-31T21:49:34.000Z
|
tests/test_loop_seer.py
|
Kyle-Kyle/angr
|
345b2131a7a67e3a6ffc7d9fd475146a3e12f837
|
[
"BSD-2-Clause"
] | 2,272
|
2015-08-10T08:40:07.000Z
|
2022-03-31T23:46:44.000Z
|
tests/test_loop_seer.py
|
Kyle-Kyle/angr
|
345b2131a7a67e3a6ffc7d9fd475146a3e12f837
|
[
"BSD-2-Clause"
] | 1,155
|
2015-08-06T23:37:39.000Z
|
2022-03-31T05:54:11.000Z
|
import os
import sys
import angr
import nose.tools
test_location = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', '..', 'binaries', 'tests')
def test_various_loops():
p = angr.Project(os.path.join(test_location, 'x86_64', 'various_loops'), auto_load_libs=False)
cfg = p.analyses.CFGFast(normalize=True)
state = p.factory.entry_state()
state.register_plugin('loop_data', angr.state_plugins.SimStateLoopData())
dummy = p.loader.main_object.get_symbol('dummy')
bvs = state.solver.BVS(dummy.name, 8 * dummy.size)
state.memory.store(dummy.rebased_addr, bvs, endness='Iend_LE')
simgr = p.factory.simulation_manager(state)
simgr.use_technique(angr.exploration_techniques.LoopSeer(cfg=cfg, functions=None, bound=None))
simgr.run()
nose.tools.assert_equal(len(simgr.deadended), 10)
nose.tools.assert_equal(len(simgr.deadended[0].loop_data.back_edge_trip_counts), 14)
for i, d in enumerate(simgr.deadended):
f = p.kb.functions.function(name='symbolic_loop')
l = p.analyses.LoopFinder(functions=[f]).loops[0]
nose.tools.assert_equal(d.loop_data.back_edge_trip_counts[l.entry.addr][0], i)
f = p.kb.functions.function(name='for_loop')
l = p.analyses.LoopFinder(functions=[f]).loops[0]
nose.tools.assert_equal(d.loop_data.back_edge_trip_counts[l.entry.addr][0], 9)
f = p.kb.functions.function(name='while_loop')
l = p.analyses.LoopFinder(functions=[f]).loops[0]
nose.tools.assert_equal(d.loop_data.back_edge_trip_counts[l.entry.addr][0], 9)
f = p.kb.functions.function(name='do_while_loop')
l = p.analyses.LoopFinder(functions=[f]).loops[0]
nose.tools.assert_equal(d.loop_data.header_trip_counts[l.entry.addr][0], 9)
f = p.kb.functions.function(name='nullify')
l = p.analyses.LoopFinder(functions=[f]).loops[0]
nose.tools.assert_equal(len(d.loop_data.back_edge_trip_counts[l.entry.addr]), 8)
nose.tools.assert_equal(d.loop_data.back_edge_trip_counts[l.entry.addr][0], 9)
f = p.kb.functions.function(name='nested_for_loop')
ol = p.analyses.LoopFinder(functions=[f]).loops[0]
il = ol.subloops[0]
nose.tools.assert_equal(d.loop_data.back_edge_trip_counts[ol.entry.addr][0], 3)
nose.tools.assert_equal(len(d.loop_data.back_edge_trip_counts[il.entry.addr]), 3)
nose.tools.assert_true(all(s == 3 for s in d.loop_data.back_edge_trip_counts[il.entry.addr]))
f = p.kb.functions.function(name='nested_while_loop')
ol = p.analyses.LoopFinder(functions=[f]).loops[0]
il = ol.subloops[0]
nose.tools.assert_equal(d.loop_data.back_edge_trip_counts[ol.entry.addr][0], 3)
nose.tools.assert_equal(len(d.loop_data.back_edge_trip_counts[il.entry.addr]), 3)
nose.tools.assert_true(all(s == 3 for s in d.loop_data.back_edge_trip_counts[il.entry.addr]))
f = p.kb.functions.function(name='nested_do_while_loop')
ol = p.analyses.LoopFinder(functions=[f]).loops[0]
il = ol.subloops[0]
nose.tools.assert_equal(d.loop_data.header_trip_counts[ol.entry.addr][0], 3)
nose.tools.assert_equal(len(d.loop_data.header_trip_counts[il.entry.addr]), 3)
nose.tools.assert_true(all(s == 3 for s in d.loop_data.header_trip_counts[il.entry.addr]))
f = p.kb.functions.function(name='break_for_loop')
l = p.analyses.LoopFinder(functions=[f]).loops[0]
nose.tools.assert_equal(d.loop_data.back_edge_trip_counts[l.entry.addr][0], 9)
f = p.kb.functions.function(name='break_do_while_loop')
l = p.analyses.LoopFinder(functions=[f]).loops[0]
nose.tools.assert_equal(d.loop_data.header_trip_counts[l.entry.addr][0], 9)
def test_loops_with_invalid_parameter():
p = angr.Project(os.path.join(test_location, 'x86_64', 'test_loops'), auto_load_libs=False)
state = p.factory.entry_state()
state.register_plugin('loop_data', angr.state_plugins.SimStateLoopData())
simgr = p.factory.simulation_manager(state)
simgr.use_technique(angr.exploration_techniques.LoopSeer(functions=['main', 0x1234], bound=None))
simgr.run()
nose.tools.assert_equal(len(simgr.deadended[0].loop_data.back_edge_trip_counts), 3)
nose.tools.assert_equal(simgr.deadended[0].loop_data.back_edge_trip_counts[0x400665][0], 10)
nose.tools.assert_equal(len(simgr.deadended[0].loop_data.back_edge_trip_counts[0x400665]), 10)
nose.tools.assert_equal(simgr.deadended[0].loop_data.back_edge_trip_counts[0x400675][0], 10)
nose.tools.assert_equal(simgr.deadended[0].loop_data.back_edge_trip_counts[0x4006b2][0], 100)
def test_arrays():
p = angr.Project(os.path.join(test_location, 'x86_64', 'test_arrays'), auto_load_libs=False)
cfg = p.analyses.CFGFast(normalize=True)
state = p.factory.entry_state()
state.register_plugin('loop_data', angr.state_plugins.SimStateLoopData())
simgr = p.factory.simulation_manager(state)
simgr.use_technique(angr.exploration_techniques.LoopSeer(cfg=cfg, functions='main', bound=None))
simgr.run()
nose.tools.assert_equal(len(simgr.deadended[0].loop_data.back_edge_trip_counts), 2)
nose.tools.assert_equal(simgr.deadended[0].loop_data.back_edge_trip_counts[0x400636][0], 26)
nose.tools.assert_equal(simgr.deadended[0].loop_data.back_edge_trip_counts[0x4005fd][0], 26)
def test_loop_limiter():
p = angr.Project(os.path.join(test_location, 'x86_64', 'test_arrays'), auto_load_libs=False)
cfg = p.analyses.CFGFast(normalize=True)
state = p.factory.entry_state()
state.register_plugin('loop_data', angr.state_plugins.SimStateLoopData())
simgr = p.factory.simulation_manager(state)
simgr.use_technique(angr.exploration_techniques.LoopSeer(cfg=cfg, functions='main', bound=5))
simgr.run()
nose.tools.assert_true('spinning' in simgr.stashes)
nose.tools.assert_equal(simgr.spinning[0].loop_data.back_edge_trip_counts[0x4005fd][0], 6)
def test_loop_limiter_constant_loop():
p = angr.Project(os.path.join(test_location, 'x86_64', 'constant_loopseer'), auto_load_libs=False)
cfg = p.analyses.CFGFast(normalize=True)
state = p.factory.entry_state()
simgr = p.factory.simulation_manager(state)
simgr.use_technique(angr.exploration_techniques.LoopSeer(cfg=cfg, functions='main', bound=5, limit_concrete_loops=False))
simgr.run()
nose.tools.assert_true(simgr.deadended[0].regs.eax.concrete)
val = simgr.deadended[0].solver.eval_one(simgr.deadended[0].regs.eax)
nose.tools.assert_equal(val, 420)
if __name__ == "__main__":
if len(sys.argv) > 1:
globals()['test_' + sys.argv[1]]()
else:
g = globals().copy()
for k, v in g.items():
if k.startswith("test_") and hasattr(v, '__call__'):
print(k)
v()
| 42.159509
| 125
| 0.709983
| 1,046
| 6,872
| 4.428298
| 0.140535
| 0.062176
| 0.100389
| 0.112263
| 0.84823
| 0.827288
| 0.804404
| 0.80095
| 0.80095
| 0.788644
| 0
| 0.02628
| 0.141735
| 6,872
| 162
| 126
| 42.419753
| 0.759071
| 0
| 0
| 0.45045
| 0
| 0
| 0.049913
| 0
| 0
| 0
| 0.009022
| 0
| 0.279279
| 1
| 0.045045
| false
| 0
| 0.036036
| 0
| 0.081081
| 0.009009
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 6
|
31d15ba780a95a70da6a42fd922fdf3f8a69aedc
| 77
|
py
|
Python
|
module00/ex05/kata00.py
|
MedAymenF/42AI-Python-bootcamp
|
41af2221b95b305ee08ee8f582e68700f1a8c32b
|
[
"Apache-2.0"
] | null | null | null |
module00/ex05/kata00.py
|
MedAymenF/42AI-Python-bootcamp
|
41af2221b95b305ee08ee8f582e68700f1a8c32b
|
[
"Apache-2.0"
] | null | null | null |
module00/ex05/kata00.py
|
MedAymenF/42AI-Python-bootcamp
|
41af2221b95b305ee08ee8f582e68700f1a8c32b
|
[
"Apache-2.0"
] | null | null | null |
t = (19, 42, 21)
print(f"The {len(t)} numbers are: {t[0]}, {t[1]}, {t[2]}")
| 19.25
| 58
| 0.467532
| 17
| 77
| 2.117647
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140625
| 0.168831
| 77
| 3
| 59
| 25.666667
| 0.421875
| 0
| 0
| 0
| 0
| 0.5
| 0.623377
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
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